From e2a780a779a0ea30ba7a91ec0c8a3e9d601cffcf Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Fri, 31 May 2024 13:26:18 -0400 Subject: [PATCH 01/27] declan --- .../__pycache__/catalog.cpython-310.pyc | Bin 0 -> 2046 bytes .../__pycache__/metrics.cpython-310.pyc | Bin 0 -> 3046 bytes case_studies/redshift_estimation/catalog.py | 50 + case_studies/redshift_estimation/commands.txt | 15 + .../redshift_estimation/get_redshift.py | 105 + case_studies/redshift_estimation/metrics.py | 103 + .../redshift_estimation/non_redshift.yaml | 8 + .../AccessingTrainedModelForPrediction.ipynb | 526 +++ .../other/CheckingNewPhotometry.ipynb | 1897 +++++++++++ .../notebooks/other/CombinedTruth.ipynb | 1407 ++++++++ .../notebooks/other/DC2&SDSSEvaluation.ipynb | 1057 ++++++ .../notebooks/other/Evaluation.ipynb | 551 ++++ .../other/ReadingTruthParquets.ipynb | 323 ++ .../other/RedshiftFromPhotometry.ipynb | 2059 ++++++++++++ .../other/RedshiftFromPhotometryRaw.ipynb | 1766 ++++++++++ .../other/SDSS-LikeDataExploration.ipynb | 1004 ++++++ .../notebooks/other/playground.ipynb | 2010 ++++++++++++ .../1-PriorConstruction.ipynb | 682 ++++ .../redshift_specific/2-Training.ipynb | 99 + .../redshift_specific/3-Evaluation.ipynb | 369 +++ .../tutorials/1-FullPipelineExample.ipynb | 2855 +++++++++++++++++ .../tutorials/2-ImageGeneration.ipynb | 945 ++++++ .../notebooks/tutorials/3-Training.ipynb | 139 + .../notebooks/tutorials/4-Prediction.ipynb | 235 ++ .../notebooks/tutorials/5-VarDists.ipynb | 1166 +++++++ case_studies/redshift_estimation/prior.py | 389 +++ .../redshift_estimation/redshift.yaml | 78 + .../redshift_estimation/simulated_dataset.py | 247 ++ .../redshift_estimation/variational_dist.py | 84 + 29 files changed, 20169 insertions(+) create mode 100644 case_studies/redshift_estimation/__pycache__/catalog.cpython-310.pyc create mode 100644 case_studies/redshift_estimation/__pycache__/metrics.cpython-310.pyc create mode 100644 case_studies/redshift_estimation/catalog.py create mode 100644 case_studies/redshift_estimation/commands.txt create mode 100644 case_studies/redshift_estimation/get_redshift.py create mode 100644 case_studies/redshift_estimation/metrics.py create mode 100644 case_studies/redshift_estimation/non_redshift.yaml create mode 100644 case_studies/redshift_estimation/notebooks/other/AccessingTrainedModelForPrediction.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/other/CheckingNewPhotometry.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/other/CombinedTruth.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/other/DC2&SDSSEvaluation.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/other/Evaluation.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/other/ReadingTruthParquets.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometry.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometryRaw.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/other/SDSS-LikeDataExploration.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/other/playground.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/redshift_specific/1-PriorConstruction.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/redshift_specific/2-Training.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/redshift_specific/3-Evaluation.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/tutorials/1-FullPipelineExample.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/tutorials/2-ImageGeneration.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/tutorials/3-Training.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/tutorials/4-Prediction.ipynb create mode 100644 case_studies/redshift_estimation/notebooks/tutorials/5-VarDists.ipynb create mode 100644 case_studies/redshift_estimation/prior.py create mode 100644 case_studies/redshift_estimation/redshift.yaml create mode 100644 case_studies/redshift_estimation/simulated_dataset.py create mode 100644 case_studies/redshift_estimation/variational_dist.py diff --git a/case_studies/redshift_estimation/__pycache__/catalog.cpython-310.pyc b/case_studies/redshift_estimation/__pycache__/catalog.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e65ee2e39ab28139451e726c08bd6ddb9c845e7d GIT binary patch literal 2046 zcmZ`)&2Ah;5bmD;o!xAl*hmCIG$Kf3A*=-f4we;JN(46tgB6qP|pl#-Mz;Oo>qBR^XU zcj3W~cSatQU$%hv7lHQc;2=1G;HI{GPzR?SZiA%&rQE(n79Abd0e9*ScYn1Pq3+f$ z_m*5&_YSVrA@}Pp4{*2kYwJ0YKh6Y_qvSLsL!UCAQ4NZLwahGDcE&z?Mf zvK39lk&scA7D7ek1P)>`1&_uh7sK#U`DtTNZCwh`$Xm>#4Hf4iQZq45C+RrWX<1x3 zHSR1c$LidL3Z4H8V;=2Ag-&1|MJk#`UpxfCy-Ud;nhvO;)A{X2je#0dtrF-g+37hV z0T5{OG&gQqaPeZ^zp{%qjjgKObPA@*N{)pZtef}ug=Q1LEW?l(=8$PXtuk&^K-6$V zXyZ)9u`*sYaOP0rK zYTm;uux6(bwr-5qO3eC2@SqPUk*RntOgDwg6bzsCu?erNn()e)>^8wSo94!al}RaE zU$2P#3>04PY$jzcHV@OdoF{3rxtFC%ZH{9ln9>zbh1!J1(L7})luq*oAfV8+jp6Lr zT!+Y-sw`#L`P3&s0)K-BG^CEzqia^*4ryrhX`ilvv=8!|)*7APy#VD(qZqznalG0% z@Eclc+c@sP2Q&wAKz@hj2`gQ$7OeIkK0G{UcfRo!ANS^V^dfpq2hb(My;zSErqVe; zplC70lB>_7S5!vesmWMNJ_ptW3`#PSjA14fBIXXA-+qg;;f3Pvz{gXF0LDznSYGl9 z%Fj%XvBN6P+8v3V(e&diD~|+UftjQ6qhKJO2Pw z-__1Bb@C%n_+R$10!`b-=h6IdtldVl4e3jez8M@wjq)Z*&PtM2p3X{=Jox~Pe2wHA zBzQ6TEs}TMA446&RG2%wf6r=y8ievgkQh&-MLARL!)_jN^SZA!fFCZgE3wZt*>7E< e(UrS2d2dU<-B#`)CPN|Q1F``qU$Zwp4gUix)Ers> literal 0 HcmV?d00001 diff --git a/case_studies/redshift_estimation/__pycache__/metrics.cpython-310.pyc b/case_studies/redshift_estimation/__pycache__/metrics.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..8d7908dfd94e816d9da923ac74d6b7f129ea2daa GIT binary patch literal 3046 zcmbVOOLH4V5T2QRN|s$h5s4iLF_1ushkXbX5J)h26dV#ClA8)@YrQkFR#|D~nNXcA9k>V#vRb2cB_%U1x^Hxc zv-_k~IfC6ti)#0-$YdPtMyM};R;fJu2s(naDJO0AgmfsUoIUp2R&i?EE>3GZPl!$0 zF6`~;^?QP=ZrsW4ig0lMU=&KhZ%diVh%Oz$pzlCif%fbMh>ScUJ<8pfM&BEl696H)jqoI)64}y3QXF;GVA?Jb0!c5>a8FjTY7BW?^pRGjF(e8sE zL%FXGsjdV;l!QtJfn0@S|Jm8@rhTz}5Qpiw8+W(&l31zjC{zMA9PwDFZLq<3D-bG+ z`(YNRgYCWvi`p9gECCh7g{Dw6=vnJL9l!lD4{yzFju1HW4*DD)TF=BSZl}#*yJ*U+C&ym_^+{#o*o=`~mku zS6ktpl0N7XZ_%pC*YTg9$&m=6Fw-7*&UAcmU(}5U`x!z1|H*%h8!Y~(Nq|VHCm%hT4!}5?Z3wt@4W=>TgA#3P>`^%u0$s2AQ%2yULG2=+zSXkw}sf{)Ii~ za0>cTq6x@(g~9Z}8sDq0n9&FZj(zAP{3Lb&AuDsEckkSJ!K3p$BC&&6;Os!`1Ct(# zAW8R=_<=~`ZklrG;f@AL73?9#3LDq3*F<5g#b_5MW60lvHm9Eh^lL8J@|Q2H^EHEeccd}pCO;u z2_r~%N?S=9!JjBhglyofRZN~T-Wy@EQrg{3Wj{=`56%vTGToD(z%1kER>h!GZklC% z$dd6OOain1T^uvq?Z+csK@zKYzaN&&#=+Y1LE0K5$q9%X{JjqwDKxCXnpU0G=~-H^ z)c$MSSdP^xgp?n^9!R_ed^V542gqkGW?=K7nOocr%hyT6kQ1LmD|p9%cW0JODXAv6 zjxT-Al`HV$0FhZJsdBNd zD5C0rQs+xBbWR-x)Oqifru{dWj+L+9V8f;IwKK6YhU9?qWltOfcqnJ^VwjgNt0-4J zLm^YZ+;YUlb!AC2C9a$Ug>K?!P}FjF9q7uf+-s5tc3IT?yfUqnbn*|56*hSuj5{(p zsA}jWF@W+N6b3VxNaW`zzCdvi#Vr&Vo|NiUg6DP+UfF9mUruc0gzwlK=1| z>M$LD1I^H(AVGsQXakB>lR~k&^lJZ~LJ);H0xQ;(&dlpWZqhDFJsa z+uT()nYq5ZFlDtR4WI0_+KBR+#?!g}*U^ b (nth ntw s) k", k=k) + indices_for_param = repeat(indices_to_retrieve, "b nth_ntw_s -> b nth_ntw_s k", k=k) + param = torch.gather(param, dim=1, index=indices_for_param) + if param_name in param_names_to_mask: + param = param * is_on_array.unsqueeze(-1) + params[param_name] = param + + params["n_sources"] = reduce(self.n_sources, "b nth ntw -> b", "sum") + return RedshiftFullCatalog(self.height, self.width, params) + + def __repr__(self): + return f"RedshiftTileCatalog({self.batch_size} x {self.n_tiles_h} x {self.n_tiles_w})" + + +class RedshiftFullCatalog(FullCatalog): + allowed_params = RedshiftTileCatalog.allowed_params + + def __repr__(self): + return "RedshiftFullCatalog" diff --git a/case_studies/redshift_estimation/commands.txt b/case_studies/redshift_estimation/commands.txt new file mode 100644 index 000000000..9721e9687 --- /dev/null +++ b/case_studies/redshift_estimation/commands.txt @@ -0,0 +1,15 @@ +# For large scale data generation. From within the base project directory (i.e. the parent directory of case_studies), run the following: + +nohup ./scripts/generate_data_in_parallel.sh -n 16 -cp /home/declan/current/bliss/case_studies/redshift_estimation/ -cn redshift.yaml mode=generate &> generate_output.out & + +# For training the encoder. + +nohup bliss -cp /home/declan/current/bliss/case_studies/redshift_estimation/ --config-name redshift.yaml mode=train &> training.out & + + +# SDSS-Like Data + +The commands below will be used to generate SDSS-like data on my branch dm/redshift estimation. We will generate on batch of data with only stars, and one batch of data with only galaxies. We do this by properly loading the priors `RedshiftCSVPrior` for stars and +`RedshiftCSVPrior_Galaxy` for galaxies as the `__target__` in our `redshift.yaml` file, and thereafter running the generation command above. No new command needed per se, I just run the same command above *with appropriate changes to the config*. I'm storing thew SDSS-like stars in `/data/scratch/declan/sdss_like_stars`, and I'm storing the SDSS-like galaxies in `/data/scratch/declan/sdss_like_galaxies`. The SDSS-like galaxies were generated from the model using the `RedshiftCSVPrior_Galaxy` class. + +Now on to training. We hope that things work reasonably well because the training infrastructure is already set. Again, we should simply be able to use the command above. We have to modify the config to tell it where to access the appropriate cached data, in either `/data/scratch/declan/sdss_like_stars` or `/data/scratch/declan/sdss_like_galaxies`. diff --git a/case_studies/redshift_estimation/get_redshift.py b/case_studies/redshift_estimation/get_redshift.py new file mode 100644 index 000000000..9c80a05d2 --- /dev/null +++ b/case_studies/redshift_estimation/get_redshift.py @@ -0,0 +1,105 @@ +from astropy.io import fits + +f = fits.open("/home/../data/scratch/specObj-dr17.fits") +import numpy as np + +data = f[1].data + +# # Extract the 'TARGETTYPE' column +# target_types = data['TARGETTYPE'] + +# # Find unique values in the 'TARGETTYPE' column +# unique_target_types = np.unique(target_types) + +# # Print the unique values +# print('Unique TARGETTYPE values:') +# for target_type in unique_target_types: +# print(target_type) +# Apply conditions: +# 'SPECPRIMARY' > 0 +# 'ZWARNING' == 0 or 'ZWARNING' == 16 +condition = (data["SPECPRIMARY"] > 0) & ((data["ZWARNING"] == 0) | (data["ZWARNING"] == 16)) + +# Apply the condition to filter the 'Z' values +filtered_z_values = data["Z"][condition] +filtered_ID = data["SPECOBJID"][condition] + + +import csv + +from astroquery.sdss import SDSS + +# Assuming 'data' contains your initial data with 'SPECOBJID' column +filtered_ID = data["SPECOBJID"][condition] # Assuming you have defined 'condition' somewhere +total_ids = len(filtered_ID) + +# Specify the output CSV file path +output_file_path = "/data/scratch/declan/photometric_data.csv" + + +# Function to write a batch of data to the CSV file +def write_batch_to_csv(data_batch, header=False): + with open(output_file_path, mode="a", newline="") as file: # 'a' mode to append data + writer = csv.writer(file) + if header: + writer.writerow( + [ + "objID", + "u_band", + "g_band", + "r_band", + "i_band", + "z_band", + "redshift", + "source_type", + ] + ) + writer.writerows(data_batch) + + +# Write the header row +write_batch_to_csv([], header=True) + +for start_index in range(0, total_ids, 100): + end_index = min(start_index + 100, total_ids) + objid_list = ",".join([str(int(objid)) for objid in filtered_ID[start_index:end_index]]) + + # Construct the SQL query for the current batch + sql_query = f""" + SELECT + p.objID, p.u, p.g, p.r, p.i, p.z, s.z AS redshift, s.class AS source_type + FROM + PhotoObj AS p + JOIN SpecObj AS s ON p.objID = s.bestObjID + WHERE + s.specObjID IN ({objid_list}) + """ + + try: + photo_data = SDSS.query_sql(sql_query) + if photo_data is not None and len(photo_data) > 0: + # Prepare data batch for CSV writing + data_batch = [] + for row in photo_data: + objID = row["objID"] + u = row["u"] + g = row["g"] + r = row["r"] + i = row["i"] + z = row["z"] + redshift = row["redshift"] + source_type = row["source_type"] + + if (u < 0) or (g < 0) or (r < 0) or (i < 0) or (z < 0) or (redshift < 0): + continue + else: + data_row = [objID, u, g, r, i, z, redshift, source_type] + data_batch.append(data_row) + + # Write the current batch of data to the CSV file + write_batch_to_csv(data_batch) + except Exception as e: + print(f"Failed to query or process data for batch starting at index {start_index}: {e}") + +# Inform the user that the process is complete +print("Data querying and writing complete.") diff --git a/case_studies/redshift_estimation/metrics.py b/case_studies/redshift_estimation/metrics.py new file mode 100644 index 000000000..0f79b4aa7 --- /dev/null +++ b/case_studies/redshift_estimation/metrics.py @@ -0,0 +1,103 @@ +import torch +from torchmetrics import Metric + + +class RedshiftMeanSquaredError(Metric): + def __init__(self, **kwargs): + super().__init__(**kwargs) + # self.add_state("preds", default=torch.tensor([]), dist_reduce_fx="cat") + # self.add_state("truth", default=torch.tensor([]), dist_reduce_fx="cat") + self.add_state("sum_squared_error", default=torch.zeros(1), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") + + def update(self, true_cat, est_cat, matching): + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + self.total += tcat_matches.size(0) + + true_red = true_cat["redshifts"][i][tcat_matches] + est_red = est_cat["redshifts"][i][ecat_matches] + red_err = ((true_red - est_red).abs()** 2).sum() + + self.sum_squared_error += red_err + + def compute(self): + mse = self.sum_squared_error / self.total + return {"Mean squared error": mse.item()} + + +class RedshiftNLL(Metric): + def __init__(self, **kwargs): + super().__init__(**kwargs) + + # self.add_state("preds_loc", default=torch.tensor([]), dist_reduce_fx="cat") + # self.add_state("preds_scale", default=torch.tensor([]), dist_reduce_fx="cat") + # self.add_state("truth", default=torch.tensor([]), dist_reduce_fx="cat") + self.add_state("negative_loglikelihood", default=torch.zeros(1), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") + + def update(self, true_cat, marginal_dist): + + for i in range(true_cat.shape[0]): + #tcat_matches, ecat_matches = matching[i] + #self.total += tcat_matches.size(0) + self.total += true_cat.shape[0] + est_miu = marginal_dist.factors["redshift"].loc[i] + est_sigma = marginal_dist.factors["redshift"].scale[i] + true_miu = true_cat[i, :, :] + distribution = torch.distributions.Normal(est_miu, est_sigma) + nll = -distribution.log_prob(true_miu) + self.negative_loglikelihood += nll.sum() + + + def compute(self): + + nll = self.negative_loglikelihood / self.total + return {"negative loglikelihood": nll.item()} + +class RedshiftCatastrophicErrorRate(Metric): + def __init__(self, **kwargs): + super().__init__(**kwargs) + + self.add_state("catastrophic_errors", default=torch.zeros(1), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") + + def update(self, true_cat, marginal_dist): + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + self.total += tcat_matches.size(0) + + est_miu = marginal_dist["redshifts"].loc[i][ecat_matches] + est_sigma = marginal_dist["redshifts"].scale[i][ecat_matches] + true_miu = true_cat["redshifts"].loc[i][tcat_matches] + temp = abs(true_miu - est_miu ) > 5 * est_sigma + self.catastrophic_errors += temp.sum() + + + def compute(self): + csr = self.catastrophic_errors.float() / self.total + return {"Catastrophic error rate": csr.item()} + + + + + +# preds = torch.tensor([0.9924, 0.9927, 0.9909, 0.9837, 0.9853, 0.9877]) +# preds_scale = torch.tensor([0.0416, 0.0426, 0.0425, 0.0421, 0.0418, 0.0419]) +# truth = torch.tensor([0.9955, 0.9297, 0.949, 0.9387, 0.9852, 0.9857]) + +# mse_metric = RedshiftMeanSquaredError() +# cer_metric = RedshiftCatastrophicErrorRate(threshold=0.01) # Set your threshold for catastrophic errors +# nll_metric = RedshiftNLL() +# # Update the metrics with the prediction and truth tensors +# mse_metric.update(preds, truth) +# cer_metric.update(preds, truth) +# nll_metric.update(preds, preds_scale, truth) + +# # Compute the metrics +# mse = mse_metric.compute() +# cer = cer_metric.compute() +# nll = nll_metric.compute() +# print(f"Mean Squared Error: {mse.item()}") +# print(f"Catastrophic Error Rate: {cer.item()}") +# print(f"Negative log likelihood: {nll.item()}") diff --git a/case_studies/redshift_estimation/non_redshift.yaml b/case_studies/redshift_estimation/non_redshift.yaml new file mode 100644 index 000000000..68313e1b4 --- /dev/null +++ b/case_studies/redshift_estimation/non_redshift.yaml @@ -0,0 +1,8 @@ +--- +defaults: + - ../../bliss/conf@_here_: base_config + - _self_ + - override hydra/job_logging: stdout + +prior: + _target_: bliss.simulator.prior.CatalogPrior diff --git a/case_studies/redshift_estimation/notebooks/other/AccessingTrainedModelForPrediction.ipynb b/case_studies/redshift_estimation/notebooks/other/AccessingTrainedModelForPrediction.ipynb new file mode 100644 index 000000000..59266b402 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/other/AccessingTrainedModelForPrediction.ipynb @@ -0,0 +1,526 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "d3578c49", + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import numpy as np\n", + "import math\n", + "import os\n", + "import pytorch_lightning as pl\n", + "import torch\n", + "from hydra.utils import instantiate" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "33c107e3", + "metadata": {}, + "outputs": [], + "source": [ + "from os import environ\n", + "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", + "\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from bliss.main import predict\n", + "\n", + "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d390d81b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/declan/current/bliss'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.environ[\"BLISS_HOME\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "1e9e36fa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/declan/current/bliss/case_studies/redshift_estimation/notebooks'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.getcwd()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "449342fe", + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=\"../\", version_base=None):\n", + " cfg = compose(\"redshift\", {\n", + " \"predict.weight_save_path=/home/declan/current/bliss/redshift_output/version_4/checkpoints/best_encoder.ckpt\"\n", + " })" + ] + }, + { + "cell_type": "markdown", + "id": "d2b0ca8c", + "metadata": {}, + "source": [ + "We'd really like to call the `predict` function from `bliss.main` here. Still working on getting that going. In the meantime, we can \"initialize\" an encoder using the config `redshift.yaml` and load the weights manually like so. The cell below will take a while as I still have it loading all of the data, which probably overkill." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "22d6cdcd", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Global seed set to 42\n" + ] + } + ], + "source": [ + "pl.seed_everything(cfg.train.seed)\n", + "\n", + "# setup dataset and encoder\n", + "# taken from train in main.py\n", + "dataset = instantiate(cfg.train.data_source)\n", + "encoder = instantiate(cfg.train.encoder)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c518fbb2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bliss.simulator.simulated_dataset.CachedSimulatedDataset" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "e81013e5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bliss.encoder.encoder.Encoder" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(encoder)" + ] + }, + { + "cell_type": "markdown", + "id": "6248e808", + "metadata": {}, + "source": [ + "We'll access the test Dataloader that CachedSimulatedDataset can construct for us." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "be126110", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.utils.data.dataloader.DataLoader" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_dataloader = dataset.test_dataloader()\n", + "type(test_dataloader)" + ] + }, + { + "cell_type": "markdown", + "id": "d1e37761", + "metadata": {}, + "source": [ + "Let's access some observations from the test dataloader." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "c76e0cac", + "metadata": {}, + "outputs": [], + "source": [ + "observation = next(iter(test_dataloader))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "5534a7db", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['images', 'background', 'deconvolution', 'psf_params', 'tile_catalog'])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "observation.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "0eadca65", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([32, 5, 80, 80])" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "observation['images'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "1aec4326", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "observation['tile_catalog'].keys()" + ] + }, + { + "cell_type": "markdown", + "id": "9161e25e", + "metadata": {}, + "source": [ + "Let's use the untrained encoder for prediction (it should perform very badly). " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "a5d44a88", + "metadata": {}, + "outputs": [], + "source": [ + "est_cat = encoder.sample(observation, use_mode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "75206f21", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'star_fluxes', 'source_type', 'galaxy_params', 'galaxy_fluxes', 'redshifts'])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est_cat = est_cat.to_dict()\n", + "est_cat.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "3a5db8cc", + "metadata": {}, + "source": [ + "When `observation` is passed to `encoder`, the encoder ignores the ground truth `observation['tile_catalog']` to make the prediction obviously. But now we can compare the prediction to the ground truth." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "d3d20670", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[ 0.0200, -0.0500, -0.0300, -0.0900, 0.0300, 0.1700, -0.3000, 0.2500,\n", + " 0.0400, -0.0200, 0.0800, 0.0000, 0.0400, -0.1400, -0.1800, -0.0900,\n", + " 0.0100, -0.1600],\n", + " [-0.0300, -0.0200, 0.0500, 0.0100, -0.0600, 0.0300, -0.1800, -1.0200,\n", + " 0.4100, 0.1600, -0.0100, 0.1900, 0.1600, 0.2200, -0.0300, -0.4300,\n", + " 0.2100, 0.2200],\n", + " [-0.0300, -0.0500, -0.0800, -0.0200, -0.0500, 0.2100, -0.1500, 0.0200,\n", + " 0.1400, 0.3500, 0.0900, 0.4000, 0.1000, 0.0700, 0.1900, 0.1200,\n", + " 0.1900, -0.1800],\n", + " [-0.0300, -0.0300, 0.0300, 0.2100, 0.6000, -1.5300, -0.1200, 0.2800,\n", + " -0.5500, -0.3900, -0.0900, -0.0000, 0.1200, 0.1100, -0.1700, 0.1700,\n", + " -0.0400, 0.0400],\n", + " [-0.0200, -0.0200, 0.0500, -0.0700, 0.0900, -0.4200, -0.2400, -0.4900,\n", + " -0.5500, 0.0300, -0.1300, -0.1500, -0.4700, -0.3700, 0.1900, 0.0300,\n", + " -0.1400, 0.1300],\n", + " [-0.0000, -0.0200, -0.1100, -0.0200, -0.1400, 0.0300, 0.2700, 0.1600,\n", + " -0.5400, -0.2600, -0.1900, -0.1400, -0.1900, -0.0200, 0.2300, -0.1000,\n", + " -0.2500, 0.2500],\n", + " [-0.0600, 0.0100, -0.0500, 0.1100, 0.1000, -0.0900, -0.0600, -0.0700,\n", + " -0.1400, -0.1800, -0.2000, -0.1300, -0.0800, 0.2100, 0.2000, 0.0900,\n", + " 0.3200, 0.1500],\n", + " [-0.0900, -0.0400, -0.1000, 0.0300, 0.0500, 0.0400, 0.2600, 0.1600,\n", + " 0.0100, 0.1000, 0.0200, 0.0700, -0.0200, 0.0900, -0.1900, 0.1000,\n", + " -0.0300, 0.0100],\n", + " [ 0.0600, -0.0500, 0.1000, 0.1700, 0.2200, 0.0500, 0.1400, 0.2300,\n", + " 0.1800, 0.1100, 0.0300, 0.1100, 0.0100, -0.0900, 0.2900, 0.5100,\n", + " -0.9700, -1.7700],\n", + " [ 0.3300, 0.0200, -0.5800, -0.6800, 0.5900, 0.0400, -0.2000, 0.0200,\n", + " 0.1500, 0.1900, 0.0800, -0.0400, 0.0200, -0.1400, -0.0700, -0.8300,\n", + " -0.2900, 0.1500],\n", + " [-1.2300, -1.2000, -1.5100, -0.7400, 1.2100, 0.5400, 0.0700, -0.0500,\n", + " -0.1900, 0.0900, 0.2000, -0.0000, -0.1000, -0.3100, 0.1300, 0.0700,\n", + " -1.8300, 1.5800],\n", + " [-1.8400, 1.6000, -1.9500, -1.9600, 1.4200, 0.8600, -0.0700, 0.1800,\n", + " 0.1100, 0.0200, 0.0700, 0.1400, 0.0100, -0.2100, -0.1000, -0.4500,\n", + " -0.2400, 0.2800],\n", + " [ 0.2600, -0.9600, -0.6300, 1.2100, -1.0600, 0.3700, -0.0700, 0.0800,\n", + " -0.6100, 0.2100, 0.2500, 0.0200, -0.0400, 0.3500, -0.4800, -0.7400,\n", + " 0.2700, -0.1400],\n", + " [ 0.3000, -0.9700, 1.4500, -6.7300, -1.4900, 1.7200, 0.4700, -0.5400,\n", + " 0.5700, 0.2500, -0.0300, -0.0200, -0.3000, -0.2000, -0.4300, -0.7900,\n", + " 0.4700, 0.1200],\n", + " [ 2.4400, -0.3900, -1.7800, -3.4900, -1.5600, -1.0000, -1.0300, 0.0600,\n", + " -0.0400, 0.2400, 0.0500, 0.0300, 0.1500, -0.0700, -0.5500, -1.1000,\n", + " -0.4700, -0.5000],\n", + " [ 0.3300, 1.0000, 1.0500, -0.3500, -0.7600, 1.0300, -0.8200, 0.2300,\n", + " -0.1100, 0.5000, 0.1400, -0.0600, -0.0500, 0.0400, -0.0500, -0.3100,\n", + " 0.6500, -0.0500],\n", + " [-0.5800, -0.7400, 0.1200, -1.9400, -3.4400, -0.3100, 0.0300, -0.3200,\n", + " -0.2000, 0.2900, -0.0600, 0.0500, 0.0500, 0.1400, 0.0200, 0.3100,\n", + " -0.2300, -0.0100],\n", + " [ 0.4300, -0.1100, 0.5700, 0.1200, -0.4100, 0.7800, 0.1100, 0.0500,\n", + " 0.4500, 0.1300, 0.0300, 0.0100, -0.0400, -0.1400, -0.0300, -0.0100,\n", + " -0.1200, -0.0400]], grad_fn=)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est_cat['redshifts'].shape # 32 x 18 x 18 x1\n", + "torch.round(est_cat['redshifts'][0].reshape(18,18), decimals=2)" + ] + }, + { + "cell_type": "markdown", + "id": "3a4e84a4", + "metadata": {}, + "source": [ + "So it does terribly as expected. But we can load the weights and it should perform much better." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e4d481d2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PATH = \"/home/declan/current/bliss/redshift_output/version_4/checkpoints/best_encoder.ckpt\"\n", + "checkpoint = torch.load(PATH)\n", + "encoder.load_state_dict(checkpoint['state_dict'])" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "19bd208e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[0.9982, 0.9962, 0.9970, 0.9988, 0.9977, 0.9975, 0.9971, 0.9983, 0.9974,\n", + " 0.9973, 0.9973, 0.9974, 0.9984, 0.9986, 0.9977, 0.9977, 0.9970, 0.9980],\n", + " [0.9979, 0.9983, 0.9976, 0.9972, 0.9979, 0.9978, 0.9978, 0.9989, 0.9975,\n", + " 0.9980, 0.9979, 0.9969, 0.9979, 0.9986, 0.9974, 0.9984, 0.9970, 0.9981],\n", + " [0.9979, 0.9978, 0.9983, 0.9990, 0.9984, 0.9973, 0.9957, 0.9974, 0.9980,\n", + " 0.9982, 0.9978, 0.9969, 0.9972, 0.9970, 0.9978, 0.9979, 0.9971, 0.9978],\n", + " [0.9989, 0.9989, 0.9980, 0.9976, 0.9974, 0.9964, 0.9979, 0.9972, 0.9977,\n", + " 0.9989, 0.9977, 0.9978, 0.9993, 0.9972, 0.9973, 0.9965, 0.9977, 0.9979],\n", + " [0.9985, 0.9983, 0.9980, 0.9985, 0.9977, 0.9982, 0.9981, 0.9974, 0.9977,\n", + " 0.9983, 0.9983, 0.9978, 0.9972, 0.9980, 0.9989, 0.9967, 0.9975, 0.9988],\n", + " [0.9972, 0.9976, 0.9976, 0.9987, 0.9972, 0.9974, 0.9970, 0.9974, 0.9981,\n", + " 0.9997, 0.9981, 0.9978, 0.9972, 0.9978, 0.9985, 0.9972, 0.9974, 0.9972],\n", + " [0.9973, 0.9978, 0.9976, 0.9968, 0.9966, 0.9964, 0.9993, 0.9981, 0.9982,\n", + " 0.9979, 0.9984, 0.9978, 0.9973, 0.9973, 0.9972, 1.0003, 0.9970, 0.9987],\n", + " [0.9964, 0.9973, 0.9974, 0.9982, 0.9973, 0.9981, 0.9982, 0.9994, 0.9977,\n", + " 0.9983, 0.9978, 0.9980, 0.9981, 0.9985, 0.9991, 0.9984, 0.9995, 0.9987],\n", + " [0.9964, 0.9981, 0.9972, 0.9973, 0.9968, 0.9979, 0.9975, 0.9961, 0.9971,\n", + " 0.9983, 0.9975, 0.9973, 0.9983, 0.9990, 0.9978, 0.9986, 0.9984, 0.9983],\n", + " [0.9982, 0.9990, 0.9974, 0.9999, 0.9982, 0.9990, 0.9987, 0.9986, 0.9994,\n", + " 0.9988, 0.9980, 0.9984, 1.0002, 1.0003, 0.9991, 0.9988, 0.9982, 0.9965],\n", + " [0.9983, 0.9980, 0.9981, 0.9982, 0.9986, 0.9982, 0.9981, 0.9983, 1.0002,\n", + " 0.9996, 0.9987, 0.9992, 0.9999, 0.9997, 0.9998, 0.9979, 0.9997, 0.9986],\n", + " [1.0001, 0.9981, 0.9975, 0.9992, 0.9992, 0.9986, 0.9997, 0.9989, 0.9999,\n", + " 0.9990, 0.9991, 0.9998, 0.9987, 0.9985, 0.9991, 0.9986, 0.9981, 0.9988],\n", + " [0.9977, 0.9986, 0.9986, 1.0004, 0.9982, 0.9980, 0.9995, 0.9991, 1.0005,\n", + " 1.0010, 0.9991, 0.9986, 0.9990, 0.9986, 0.9982, 0.9987, 0.9988, 0.9990],\n", + " [0.9992, 0.9958, 0.9978, 0.9975, 0.9984, 0.9997, 0.9986, 0.9986, 0.9989,\n", + " 0.9984, 0.9987, 0.9982, 0.9980, 0.9977, 0.9989, 0.9981, 0.9991, 0.9988],\n", + " [0.9989, 0.9982, 0.9983, 0.9985, 0.9984, 0.9989, 0.9989, 0.9989, 0.9989,\n", + " 0.9988, 0.9983, 0.9988, 0.9980, 0.9983, 0.9985, 0.9986, 0.9986, 0.9984],\n", + " [0.9983, 0.9978, 0.9976, 0.9974, 0.9979, 0.9981, 0.9978, 0.9986, 0.9981,\n", + " 0.9983, 0.9980, 0.9976, 0.9977, 0.9979, 0.9985, 0.9974, 0.9975, 0.9986],\n", + " [0.9987, 0.9994, 0.9975, 0.9978, 1.0003, 0.9980, 0.9976, 0.9979, 0.9980,\n", + " 1.0004, 0.9982, 0.9979, 0.9978, 0.9981, 0.9972, 0.9974, 0.9977, 0.9986],\n", + " [0.9986, 0.9972, 0.9985, 1.0002, 0.9991, 0.9983, 0.9977, 0.9975, 0.9975,\n", + " 0.9983, 0.9979, 0.9966, 0.9969, 0.9968, 0.9970, 0.9980, 0.9976, 0.9987]],\n", + " grad_fn=)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est_cat = encoder.sample(observation, use_mode=True)\n", + "est_cat = est_cat.to_dict()\n", + "torch.round(est_cat['redshifts'][0].reshape(18,18), decimals=4)" + ] + }, + { + "cell_type": "markdown", + "id": "efabe286", + "metadata": {}, + "source": [ + "Looking pretty good!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fb6e9640", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/other/CheckingNewPhotometry.ipynb b/case_studies/redshift_estimation/notebooks/other/CheckingNewPhotometry.ipynb new file mode 100644 index 000000000..38d727347 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/other/CheckingNewPhotometry.ipynb @@ -0,0 +1,1897 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "763ee37c", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import math\n", + "import os\n", + "import sys\n", + "sys.path.append(\"../\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5c800ef2", + "metadata": {}, + "outputs": [], + "source": [ + "import hydra\n", + "from hydra.utils import instantiate\n", + "from omegaconf import DictConfig, OmegaConf\n", + "from hydra import compose, initialize" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "22c4cea3", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_434630/400310818.py:1: UserWarning: \n", + "The version_base parameter is not specified.\n", + "Please specify a compatability version level, or None.\n", + "Will assume defaults for version 1.1\n", + " initialize(config_path=\"../\")\n" + ] + } + ], + "source": [ + "initialize(config_path=\"../\")\n", + "cfg = compose(config_name=\"redshift\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "f06f0098", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'paths': {'root': '${oc.env:BLISS_HOME}', 'data': '${paths.root}/data', 'sdss': '${paths.data}/sdss', 'decals': '${paths.data}/decals', 'des': '${paths.data}/des', 'dc2': '${paths.data}/dc2', 'output': '${paths.root}/redshift_output', 'pretrained_models': '${paths.data}/pretrained_models'}, 'prior': {'_target_': 'case_studies.redshift_estimation.prior.RedshiftCSVPriorDC2', 'survey_bands': ['u', 'g', 'r', 'i', 'z'], 'reference_band': 2, 'star_color_model_path': '${simulator.survey.dir_path}/color_models/star_gmm_nmgy.pkl', 'gal_color_model_path': '${simulator.survey.dir_path}/color_models/gal_gmm_nmgy.pkl', 'n_tiles_h': 20, 'n_tiles_w': 20, 'tile_slen': 4, 'batch_size': 64, 'max_sources': 1, 'mean_sources': 0.2, 'min_sources': 0, 'prob_galaxy': 0.72, 'star_flux_exponent': 0.43, 'star_flux_truncation': 640, 'star_flux_loc': 0.0, 'star_flux_scale': 0.63094948, 'galaxy_flux_truncation': 1013, 'galaxy_flux_exponent': 0.47, 'galaxy_flux_scale': 0.6301037, 'galaxy_flux_loc': 0.0, 'galaxy_a_concentration': 0.39330758068481686, 'galaxy_a_loc': 0.8371888967872619, 'galaxy_a_scale': 4.432725319432478, 'galaxy_a_bd_ratio': 2.0}, 'simulator': {'_target_': 'case_studies.redshift_estimation.simulated_dataset.RedshiftSimulatedDataset', 'survey': '${surveys.sdss}', 'prior': '${prior}', 'n_batches': 128, 'use_coaddition': False, 'coadd_depth': 1, 'num_workers': 32, 'valid_n_batches': 10, 'fix_validation_set': True}, 'cached_simulator': {'_target_': 'case_studies.redshift_estimation.simulated_dataset.RedshiftCachedSimulatedDataset', 'batch_size': 32, 'splits': '0:80/80:90/90:100', 'num_workers': 0, 'cached_data_path': '/data/scratch/declan/sdss_like_stars_test', 'file_prefix': '${generate.file_prefix}'}, 'encoder': {'_target_': 'bliss.encoder.encoder.Encoder', 'survey_bands': ['u', 'g', 'r', 'i', 'z'], 'tile_slen': '${simulator.prior.tile_slen}', 'tiles_to_crop': 1, 'min_flux_threshold': 0, 'optimizer_params': {'lr': 0.0001}, 'scheduler_params': {'milestones': [32], 'gamma': 0.1}, 'image_normalizer': {'_target_': 'bliss.encoder.image_normalizer.ImageNormalizer', 'bands': [0, 1, 2, 3, 4], 'include_original': False, 'use_deconv_channel': False, 'concat_psf_params': False, 'num_psf_params': 6, 'log_transform_stdevs': [-3, 0, 1, 3], 'use_clahe': True, 'clahe_min_stdev': 200}, 'vd_spec': {'_target_': 'case_studies.redshift_estimation.variational_dist.RedshiftVariationalDistSpec', 'survey_bands': '${encoder.survey_bands}', 'tile_slen': '${encoder.tile_slen}'}, 'matcher': {'_target_': 'bliss.encoder.metrics.CatalogMatcher', 'dist_slack': 1.0, 'mag_slack': None, 'mag_band': 2}, 'metrics': {'_target_': 'torchmetrics.MetricCollection', 'metrics': [{'_target_': 'bliss.encoder.metrics.DetectionPerformance', 'mag_bin_cutoffs': [19, 19.4, 19.8, 20.2, 20.6, 21, 21.4, 21.8]}, {'_target_': 'bliss.encoder.metrics.SourceTypeAccuracy'}, {'_target_': 'bliss.encoder.metrics.FluxError', 'survey_bands': '${encoder.survey_bands}'}, {'_target_': 'bliss.encoder.metrics.GalaxyShapeError'}, {'_target_': 'case_studies.redshift_estimation.metrics.RedshiftMeanSquaredError'}]}, 'do_data_augmentation': False, 'compile_model': False, 'double_detect': False, 'use_checkerboard': False, 'marginal_metrics': {'_target_': 'torchmetrics.MetricCollection', 'metrics': [{'_target_': 'case_studies.redshift_estimation.metrics.RedshiftNLL'}]}}, 'surveys': {'sdss': {'_target_': 'bliss.surveys.sdss.SloanDigitalSkySurvey', 'dir_path': '${paths.sdss}', 'fields': [{'run': 94, 'camcol': 1, 'fields': [12]}], 'psf_config': {'pixel_scale': 0.396, 'psf_slen': 25}, 'pixel_shift': 2, 'align_to_band': None, 'load_image_data': False}, 'decals': {'_target_': 'bliss.surveys.decals.DarkEnergyCameraLegacySurvey', 'dir_path': '${paths.decals}', 'sky_coords': [{'ra': 336.6643042496718, 'dec': -0.9316385797930247}], 'bands': [0, 1, 3], 'psf_config': {'pixel_scale': 0.262, 'psf_slen': 63}, 'pixel_shift': 2}, 'des': {'_target_': 'bliss.surveys.des.DarkEnergySurvey', 'dir_path': '${paths.des}', 'image_ids': [{'sky_coord': {'ra': 336.6643042496718, 'dec': -0.9316385797930247}, 'decals_brickname': '3366m010', 'ccdname': 'S28', 'g': 'decam/CP/V4.8.2a/CP20171108/c4d_171109_002003_ooi_g_ls9', 'r': 'decam/CP/V4.8.2a/CP20170926/c4d_170927_025457_ooi_r_ls9', 'i': '', 'z': 'decam/CP/V4.8.2a/CP20170926/c4d_170927_025655_ooi_z_ls9'}], 'psf_config': {'pixel_scale': 0.262, 'psf_slen': 63}, 'pixel_shift': 2}, 'dc2': {'_target_': 'bliss.surveys.dc2.DC2', 'data_dir': '/nfs/turbo/lsa-regier/lsstdesc-public/dc2/run2.2i-dr6-v4/coadd-t3828-t3829/deepCoadd-results/', 'cat_path': '${paths.dc2}/merged_catalog/merged_catalog_psf_100.pkl', 'batch_size': 64, 'n_split': 50, 'image_lim': [4000, 4000], 'use_deconv_channel': '${encoder.image_normalizer.use_deconv_channel}', 'deconv_path': '${paths.dc2}/coadd_deconv_image'}}, 'mode': 'train', 'generate': {'n_image_files': 16, 'n_batches_per_file': 16, 'simulator': '${simulator}', 'cached_data_path': '/data/scratch/declan/sdss_like_stars_test', 'file_prefix': 'dataset'}, 'train': {'trainer': {'_target_': 'pytorch_lightning.Trainer', 'logger': {'_target_': 'pytorch_lightning.loggers.TensorBoardLogger', 'save_dir': '${paths.output}', 'name': None, 'version': None, 'default_hp_metric': False}, 'callbacks': [{'_target_': 'pytorch_lightning.callbacks.ModelCheckpoint', 'filename': 'best_encoder', 'save_top_k': 1, 'verbose': True, 'monitor': 'val/_loss', 'mode': 'min', 'save_on_train_epoch_end': False, 'auto_insert_metric_name': False}, {'_target_': 'pytorch_lightning.callbacks.early_stopping.EarlyStopping', 'monitor': 'val/_loss', 'mode': 'min', 'patience': 5}], 'reload_dataloaders_every_n_epochs': 0, 'check_val_every_n_epoch': 1, 'log_every_n_steps': 10, 'min_epochs': 1, 'max_epochs': 50, 'accelerator': 'gpu', 'devices': 1, 'precision': 32}, 'data_source': '${cached_simulator}', 'encoder': '${encoder}', 'seed': 42, 'pretrained_weights': None, 'testing': True}, 'predict': {'dataset': '${cached_test_data}', 'trainer': {'_target_': 'pytorch_lightning.Trainer', 'accelerator': 'gpu', 'precision': '${train.trainer.precision}'}, 'encoder': '${encoder}', 'weight_save_path': '${paths.pretrained_models}/clahed_logged_20percent.pt', 'device': 'cuda:0'}, 'cached_test_data': {'_target_': 'case_studies.redshift_estimation.simulated_dataset.RedshiftCachedSimulatedDataset', 'batch_size': 32, 'splits': '0:80/80:90/90:100', 'num_workers': 0, 'file_prefix': '${generate.file_prefix}', 'cached_data_path': '/data/scratch/declan/redshift_estimation_test'}}" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "14f94788", + "metadata": {}, + "outputs": [], + "source": [ + "from prior import RedshiftCSVPrior, RedshiftCSVPrior_Galaxy" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "caaa3989", + "metadata": {}, + "outputs": [], + "source": [ + "prior = instantiate(cfg.prior)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "7d80bb48", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "RedshiftCSVPriorDC2()" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prior" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "89581392", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(4997011, 6)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prior.array.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "7b3f8c51", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[22.014378 , 22.033897 , 21.895718 , 21.532824 , 20.94055 ,\n", + " 1.05046761],\n", + " [25.985275 , 23.581322 , 21.95734 , 21.127697 , 20.71355 ,\n", + " 0.47481865],\n", + " [26.081638 , 25.313074 , 24.188148 , 23.109 , 22.825487 ,\n", + " 0.75903624],\n", + " ...,\n", + " [28.095345 , 27.383465 , 26.413202 , 26.130325 , 25.965738 ,\n", + " 0.37952736],\n", + " [31.107662 , 29.861511 , 28.73441 , 28.38335 , 28.19191 ,\n", + " 0.37748224],\n", + " [30.861557 , 29.379656 , 28.16287 , 27.715698 , 27.474178 ,\n", + " 0.36802971]])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prior.array" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "9cd4f3a3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([16.341553 , 14.668148 , 13.8270035 , 13.429898 , 13.140575 ,\n", + " 0.01844881])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prior.array.min(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1daadf54", + "metadata": {}, + "outputs": [], + "source": [ + "prior" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4dc8a665", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[[[[0.3372]],\n", + "\n", + " [[1.3037]],\n", + "\n", + " [[1.2365]],\n", + "\n", + " ...,\n", + "\n", + " [[0.8645]],\n", + "\n", + " [[0.9428]],\n", + "\n", + " [[1.2292]]],\n", + "\n", + "\n", + " [[[2.5716]],\n", + "\n", + " [[1.5569]],\n", + "\n", + " [[0.4116]],\n", + "\n", + " ...,\n", + "\n", + " [[1.1364]],\n", + "\n", + " [[0.5853]],\n", + "\n", + " [[0.6994]]],\n", + "\n", + "\n", + " [[[1.7522]],\n", + "\n", + " [[1.4985]],\n", + "\n", + " [[1.5177]],\n", + "\n", + " ...,\n", + "\n", + " [[2.5074]],\n", + "\n", + " [[0.6981]],\n", + "\n", + " [[2.5038]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[0.6654]],\n", + "\n", + " [[1.8278]],\n", + "\n", + " [[0.9076]],\n", + "\n", + " ...,\n", + "\n", + " [[1.1459]],\n", + "\n", + " [[0.7400]],\n", + "\n", + " [[1.9314]]],\n", + "\n", + "\n", + " [[[1.4267]],\n", + "\n", + " [[1.9001]],\n", + "\n", + " [[2.2045]],\n", + "\n", + " ...,\n", + "\n", + " [[0.9747]],\n", + "\n", + " [[1.5133]],\n", + "\n", + " [[1.2036]]],\n", + "\n", + "\n", + " [[[1.1604]],\n", + "\n", + " [[2.1546]],\n", + "\n", + " [[0.3268]],\n", + "\n", + " ...,\n", + "\n", + " [[2.5929]],\n", + "\n", + " [[0.9770]],\n", + "\n", + " [[1.3648]]]],\n", + "\n", + "\n", + "\n", + " [[[[1.5618]],\n", + "\n", + " [[1.9703]],\n", + "\n", + " [[0.7835]],\n", + "\n", + " ...,\n", + "\n", + " [[1.5372]],\n", + "\n", + " [[1.4585]],\n", + "\n", + " [[0.7943]]],\n", + "\n", + "\n", + " [[[2.8588]],\n", + "\n", + " [[1.2035]],\n", + "\n", + " [[2.8071]],\n", + "\n", + " ...,\n", + "\n", + " [[1.0391]],\n", + "\n", + " [[1.0945]],\n", + "\n", + " [[0.6977]]],\n", + "\n", + "\n", + " [[[0.5181]],\n", + "\n", + " [[0.6037]],\n", + "\n", + " [[1.4120]],\n", + "\n", + " ...,\n", + "\n", + " [[2.9385]],\n", + "\n", + " [[1.4245]],\n", + "\n", + " [[0.9685]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[2.4641]],\n", + "\n", + " [[1.5717]],\n", + "\n", + " [[2.1162]],\n", + "\n", + " ...,\n", + "\n", + " [[0.9114]],\n", + "\n", + " [[1.3554]],\n", + "\n", + " [[0.8680]]],\n", + "\n", + "\n", + " [[[3.0244]],\n", + "\n", + " [[0.3398]],\n", + "\n", + " [[1.6628]],\n", + "\n", + " ...,\n", + "\n", + " [[0.8149]],\n", + "\n", + " [[1.2732]],\n", + "\n", + " [[0.6329]]],\n", + "\n", + "\n", + " [[[1.2542]],\n", + "\n", + " [[1.7253]],\n", + "\n", + " [[0.3991]],\n", + "\n", + " ...,\n", + "\n", + " [[2.3831]],\n", + "\n", + " [[2.2890]],\n", + "\n", + " [[0.4513]]]],\n", + "\n", + "\n", + "\n", + " [[[[0.5020]],\n", + "\n", + " [[0.9590]],\n", + "\n", + " [[2.5418]],\n", + "\n", + " ...,\n", + "\n", + " [[1.7559]],\n", + "\n", + " [[2.7491]],\n", + "\n", + " [[0.6631]]],\n", + "\n", + "\n", + " [[[0.8693]],\n", + "\n", + " [[2.0699]],\n", + "\n", + " [[1.9366]],\n", + "\n", + " ...,\n", + "\n", + " [[0.9654]],\n", + "\n", + " [[0.7635]],\n", + "\n", + " [[1.8904]]],\n", + "\n", + "\n", + " [[[1.0461]],\n", + "\n", + " [[1.1964]],\n", + "\n", + " [[2.3629]],\n", + "\n", + " ...,\n", + "\n", + " [[0.5902]],\n", + "\n", + " [[2.4011]],\n", + "\n", + " [[0.9389]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[1.4229]],\n", + "\n", + " [[1.8228]],\n", + "\n", + " [[1.1433]],\n", + "\n", + " ...,\n", + "\n", + " [[0.6889]],\n", + "\n", + " [[1.3220]],\n", + "\n", + " [[1.1331]]],\n", + "\n", + "\n", + " [[[2.1100]],\n", + "\n", + " [[0.4447]],\n", + "\n", + " [[0.6996]],\n", + "\n", + " ...,\n", + "\n", + " [[1.0898]],\n", + "\n", + " [[0.7685]],\n", + "\n", + " [[0.5412]]],\n", + "\n", + "\n", + " [[[0.8782]],\n", + "\n", + " [[1.0565]],\n", + "\n", + " [[1.0701]],\n", + "\n", + " ...,\n", + "\n", + " [[1.9520]],\n", + "\n", + " [[0.7669]],\n", + "\n", + " [[2.2142]]]],\n", + "\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + "\n", + " [[[[2.0847]],\n", + "\n", + " [[1.0303]],\n", + "\n", + " [[0.7605]],\n", + "\n", + " ...,\n", + "\n", + " [[0.7055]],\n", + "\n", + " [[2.7377]],\n", + "\n", + " [[1.3639]]],\n", + "\n", + "\n", + " [[[1.4367]],\n", + "\n", + " [[0.8949]],\n", + "\n", + " [[1.6246]],\n", + "\n", + " ...,\n", + "\n", + " [[0.8128]],\n", + "\n", + " [[2.3345]],\n", + "\n", + " [[0.8931]]],\n", + "\n", + "\n", + " [[[1.2613]],\n", + "\n", + " [[0.7717]],\n", + "\n", + " [[1.0460]],\n", + "\n", + " ...,\n", + "\n", + " [[0.8203]],\n", + "\n", + " [[1.5099]],\n", + "\n", + " [[2.3326]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[2.3750]],\n", + "\n", + " [[0.8227]],\n", + "\n", + " [[1.4968]],\n", + "\n", + " ...,\n", + "\n", + " [[1.1656]],\n", + "\n", + " [[1.2883]],\n", + "\n", + " [[0.3282]]],\n", + "\n", + "\n", + " [[[2.6408]],\n", + "\n", + " [[1.6428]],\n", + "\n", + " [[2.1592]],\n", + "\n", + " ...,\n", + "\n", + " [[0.9950]],\n", + "\n", + " [[0.8740]],\n", + "\n", + " [[2.0539]]],\n", + "\n", + "\n", + " [[[2.2785]],\n", + "\n", + " [[1.5822]],\n", + "\n", + " [[0.3106]],\n", + "\n", + " ...,\n", + "\n", + " [[0.9797]],\n", + "\n", + " [[0.8328]],\n", + "\n", + " [[1.0386]]]],\n", + "\n", + "\n", + "\n", + " [[[[2.4739]],\n", + "\n", + " [[1.2574]],\n", + "\n", + " [[0.4597]],\n", + "\n", + " ...,\n", + "\n", + " [[1.1312]],\n", + "\n", + " [[1.7197]],\n", + "\n", + " [[1.6426]]],\n", + "\n", + "\n", + " [[[1.6770]],\n", + "\n", + " [[2.0462]],\n", + "\n", + " [[0.8925]],\n", + "\n", + " ...,\n", + "\n", + " [[0.6082]],\n", + "\n", + " [[1.3485]],\n", + "\n", + " [[0.5955]]],\n", + "\n", + "\n", + " [[[2.8150]],\n", + "\n", + " [[0.8235]],\n", + "\n", + " [[1.1644]],\n", + "\n", + " ...,\n", + "\n", + " [[0.8871]],\n", + "\n", + " [[1.3088]],\n", + "\n", + " [[0.4239]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[2.2069]],\n", + "\n", + " [[1.6184]],\n", + "\n", + " [[1.0677]],\n", + "\n", + " ...,\n", + "\n", + " [[1.1710]],\n", + "\n", + " [[1.7417]],\n", + "\n", + " [[2.0988]]],\n", + "\n", + "\n", + " [[[1.0902]],\n", + "\n", + " [[0.6661]],\n", + "\n", + " [[1.2278]],\n", + "\n", + " ...,\n", + "\n", + " [[1.1730]],\n", + "\n", + " [[2.1182]],\n", + "\n", + " [[1.9140]]],\n", + "\n", + "\n", + " [[[0.6555]],\n", + "\n", + " [[0.5472]],\n", + "\n", + " [[1.2579]],\n", + "\n", + " ...,\n", + "\n", + " [[0.7996]],\n", + "\n", + " [[2.9633]],\n", + "\n", + " [[0.6687]]]],\n", + "\n", + "\n", + "\n", + " [[[[0.9709]],\n", + "\n", + " [[1.1085]],\n", + "\n", + " [[0.8485]],\n", + "\n", + " ...,\n", + "\n", + " [[0.7481]],\n", + "\n", + " [[0.9643]],\n", + "\n", + " [[1.0218]]],\n", + "\n", + "\n", + " [[[2.0612]],\n", + "\n", + " [[1.3066]],\n", + "\n", + " [[1.7437]],\n", + "\n", + " ...,\n", + "\n", + " [[1.5774]],\n", + "\n", + " [[1.3188]],\n", + "\n", + " [[2.4192]]],\n", + "\n", + "\n", + " [[[1.7111]],\n", + "\n", + " [[0.9635]],\n", + "\n", + " [[1.4123]],\n", + "\n", + " ...,\n", + "\n", + " [[0.8521]],\n", + "\n", + " [[2.7062]],\n", + "\n", + " [[1.0756]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[0.8858]],\n", + "\n", + " [[1.9734]],\n", + "\n", + " [[1.9763]],\n", + "\n", + " ...,\n", + "\n", + " [[0.7553]],\n", + "\n", + " [[0.2270]],\n", + "\n", + " [[0.5532]]],\n", + "\n", + "\n", + " [[[2.6151]],\n", + "\n", + " [[1.1276]],\n", + "\n", + " [[1.3129]],\n", + "\n", + " ...,\n", + "\n", + " [[1.3297]],\n", + "\n", + " [[1.0568]],\n", + "\n", + " [[0.9655]]],\n", + "\n", + "\n", + " [[[1.3389]],\n", + "\n", + " [[0.7172]],\n", + "\n", + " [[1.7341]],\n", + "\n", + " ...,\n", + "\n", + " [[0.6226]],\n", + "\n", + " [[2.2499]],\n", + "\n", + " [[1.0271]]]]], dtype=torch.float64)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prior._sample_redshifts()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "de47e100", + "metadata": {}, + "outputs": [], + "source": [ + "samples = prior._sample_galaxy_fluxes()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5969f15f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "ba582de5", + "metadata": {}, + "outputs": [], + "source": [ + "hey = samples[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "ac4e1cfd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[[[[27.1200, 26.4601, 25.6694, 25.4208, 25.2529]],\n", + "\n", + " [[27.0200, 26.7237, 26.3933, 25.9733, 25.3686]],\n", + "\n", + " [[26.9485, 27.0269, 27.1035, 27.1276, 26.7069]],\n", + "\n", + " ...,\n", + "\n", + " [[27.4379, 27.6543, 27.8962, 27.6516, 27.6969]],\n", + "\n", + " [[27.6808, 27.7931, 27.8938, 27.5564, 27.4157]],\n", + "\n", + " [[25.1488, 25.2539, 24.9503, 24.6118, 23.9244]]],\n", + "\n", + "\n", + " [[[29.2384, 28.5860, 28.2561, 28.2660, 28.2294]],\n", + "\n", + " [[23.6819, 23.5852, 23.5882, 23.3833, 23.1769]],\n", + "\n", + " [[30.5307, 28.7861, 27.4119, 26.8613, 26.5716]],\n", + "\n", + " ...,\n", + "\n", + " [[28.7852, 28.5588, 28.0941, 27.7025, 26.8584]],\n", + "\n", + " [[30.4038, 29.7317, 28.6744, 28.2064, 28.0866]],\n", + "\n", + " [[28.9893, 28.4598, 27.5928, 26.8800, 26.7850]]],\n", + "\n", + "\n", + " [[[26.6227, 26.5958, 26.6622, 26.6841, 26.6748]],\n", + "\n", + " [[28.7846, 28.8097, 28.8342, 28.6282, 28.4817]],\n", + "\n", + " [[27.9313, 28.0219, 28.1511, 28.2422, 28.3663]],\n", + "\n", + " ...,\n", + "\n", + " [[28.6381, 28.2737, 28.2183, 28.2681, 28.3431]],\n", + "\n", + " [[30.6009, 29.8544, 28.7908, 27.9637, 27.7770]],\n", + "\n", + " [[29.3230, 28.9308, 28.8566, 28.8996, 28.9696]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[27.3087, 26.3528, 25.1150, 24.2526, 24.0281]],\n", + "\n", + " [[27.8213, 27.8582, 27.9839, 28.0936, 28.1677]],\n", + "\n", + " [[24.2415, 23.9938, 23.2209, 22.3053, 21.7952]],\n", + "\n", + " ...,\n", + "\n", + " [[30.3802, 29.4235, 28.3245, 27.5135, 26.6123]],\n", + "\n", + " [[26.5305, 25.9770, 25.0372, 24.1002, 23.9413]],\n", + "\n", + " [[29.2664, 28.8700, 28.9599, 28.8160, 28.6457]]],\n", + "\n", + "\n", + " [[[26.5888, 26.6213, 26.7435, 26.8021, 26.8168]],\n", + "\n", + " [[25.4038, 25.1637, 25.4753, 25.3061, 25.0966]],\n", + "\n", + " [[27.2538, 26.6637, 26.6121, 26.6675, 26.5092]],\n", + "\n", + " ...,\n", + "\n", + " [[27.9085, 27.6544, 27.1540, 26.4092, 25.9288]],\n", + "\n", + " [[31.3864, 29.7287, 29.0041, 28.1547, 27.6095]],\n", + "\n", + " [[27.7992, 27.5929, 27.2593, 26.9753, 26.1684]]],\n", + "\n", + "\n", + " [[[27.5559, 27.9316, 27.5088, 27.2373, 26.5725]],\n", + "\n", + " [[26.9608, 26.7079, 26.7562, 26.8511, 26.8861]],\n", + "\n", + " [[26.0715, 24.2041, 22.8269, 22.2606, 21.9749]],\n", + "\n", + " ...,\n", + "\n", + " [[28.0984, 27.5840, 27.4668, 27.7103, 27.7293]],\n", + "\n", + " [[29.4980, 28.6180, 27.3313, 26.3387, 25.6069]],\n", + "\n", + " [[28.1055, 28.2828, 28.1551, 27.9877, 27.6769]]]],\n", + "\n", + "\n", + "\n", + " [[[[26.4786, 26.5212, 26.6298, 26.6700, 26.7317]],\n", + "\n", + " [[28.0351, 27.3899, 27.5499, 27.3558, 27.0751]],\n", + "\n", + " [[28.2105, 27.8875, 27.3355, 26.4690, 26.3793]],\n", + "\n", + " ...,\n", + "\n", + " [[28.1304, 28.1478, 28.2170, 28.2018, 28.2142]],\n", + "\n", + " [[26.2670, 26.3110, 26.4305, 26.4810, 26.5259]],\n", + "\n", + " [[27.8747, 27.7180, 27.3486, 26.5535, 26.4696]]],\n", + "\n", + "\n", + " [[[26.8118, 25.8447, 25.4615, 25.4884, 25.6465]],\n", + "\n", + " [[27.3652, 27.4412, 27.5043, 27.5456, 27.0672]],\n", + "\n", + " [[29.5515, 28.9113, 28.7968, 28.8273, 28.9079]],\n", + "\n", + " ...,\n", + "\n", + " [[30.2818, 29.2096, 27.9653, 27.0457, 26.2454]],\n", + "\n", + " [[28.1977, 28.2896, 28.3439, 28.2650, 27.8476]],\n", + "\n", + " [[28.6321, 28.3930, 27.8077, 27.1986, 27.0940]]],\n", + "\n", + "\n", + " [[[26.0903, 23.4803, 21.8874, 20.9648, 20.5289]],\n", + "\n", + " [[31.1714, 29.3700, 27.9162, 27.0161, 26.6765]],\n", + "\n", + " [[30.0572, 29.4467, 29.0070, 28.3707, 27.9349]],\n", + "\n", + " ...,\n", + "\n", + " [[29.3385, 28.5397, 28.4332, 28.5149, 28.5894]],\n", + "\n", + " [[26.2014, 25.8680, 25.5811, 24.8536, 24.4071]],\n", + "\n", + " [[28.3364, 28.1893, 27.8953, 27.2604, 26.8702]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[28.6555, 28.3014, 28.2450, 28.2994, 28.3716]],\n", + "\n", + " [[27.9312, 27.9248, 27.9794, 27.9377, 27.9147]],\n", + "\n", + " [[28.2116, 28.0397, 28.1276, 28.2349, 28.2870]],\n", + "\n", + " ...,\n", + "\n", + " [[28.8601, 28.7898, 28.5622, 27.8720, 27.6346]],\n", + "\n", + " [[26.8178, 26.4417, 26.1124, 25.5695, 25.0515]],\n", + "\n", + " [[27.7381, 27.0949, 26.0676, 24.9863, 24.4941]]],\n", + "\n", + "\n", + " [[[29.9342, 29.0472, 28.9384, 29.0099, 29.0881]],\n", + "\n", + " [[29.6203, 27.9036, 26.5953, 26.0821, 25.8140]],\n", + "\n", + " [[28.1739, 28.1585, 28.2834, 28.1545, 28.0852]],\n", + "\n", + " ...,\n", + "\n", + " [[28.2383, 27.7470, 26.9544, 25.9368, 25.6849]],\n", + "\n", + " [[27.8014, 27.7242, 27.5193, 27.3376, 26.7860]],\n", + "\n", + " [[30.6976, 29.9795, 28.9058, 28.2933, 28.1343]]],\n", + "\n", + "\n", + " [[[27.8778, 27.6100, 27.2854, 26.9293, 26.1953]],\n", + "\n", + " [[28.6582, 28.3605, 28.2851, 28.0582, 27.8334]],\n", + "\n", + " [[28.2393, 27.6503, 26.7512, 26.5723, 26.4608]],\n", + "\n", + " ...,\n", + "\n", + " [[31.8866, 29.7220, 28.9496, 28.7466, 28.5499]],\n", + "\n", + " [[31.8903, 29.5436, 28.8307, 28.6780, 28.3629]],\n", + "\n", + " [[31.6060, 30.0463, 28.7115, 28.1514, 27.8688]]]],\n", + "\n", + "\n", + "\n", + " [[[[29.8034, 28.8931, 27.6513, 27.2487, 27.0917]],\n", + "\n", + " [[28.7143, 28.4903, 28.0395, 27.2572, 26.8160]],\n", + "\n", + " [[29.1503, 28.8867, 28.8851, 28.9681, 29.0602]],\n", + "\n", + " ...,\n", + "\n", + " [[30.0864, 29.1747, 28.8476, 28.4692, 28.0811]],\n", + "\n", + " [[29.7834, 29.1845, 29.0328, 29.4147, 29.4807]],\n", + "\n", + " [[29.6176, 29.0098, 28.0678, 27.4594, 27.3380]]],\n", + "\n", + "\n", + " [[[27.3599, 27.1117, 26.6178, 25.6972, 25.4731]],\n", + "\n", + " [[28.7231, 28.5035, 28.5501, 28.6442, 28.6633]],\n", + "\n", + " [[30.8875, 28.6398, 27.8799, 27.5244, 26.9522]],\n", + "\n", + " ...,\n", + "\n", + " [[29.1425, 28.9406, 28.5777, 27.8692, 27.4634]],\n", + "\n", + " [[29.6125, 29.2214, 28.6128, 27.7487, 27.6743]],\n", + "\n", + " [[25.9723, 25.6346, 25.6353, 25.5928, 25.5062]]],\n", + "\n", + "\n", + " [[[28.5163, 28.5343, 28.3388, 27.9303, 27.4064]],\n", + "\n", + " [[28.3008, 28.3560, 28.3939, 28.4158, 27.8713]],\n", + "\n", + " [[30.2806, 29.2480, 28.9252, 28.9759, 28.7673]],\n", + "\n", + " ...,\n", + "\n", + " [[29.7471, 29.2776, 28.2733, 27.8021, 27.7223]],\n", + "\n", + " [[29.2116, 28.8725, 28.8242, 28.8840, 28.9366]],\n", + "\n", + " [[28.4015, 28.1391, 27.6620, 26.8544, 26.4765]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[28.3935, 28.4433, 28.5348, 28.5569, 28.5312]],\n", + "\n", + " [[29.0469, 28.9626, 29.0146, 29.0486, 29.0195]],\n", + "\n", + " [[28.2940, 28.1012, 27.7900, 27.4971, 26.6824]],\n", + "\n", + " ...,\n", + "\n", + " [[29.8039, 28.4334, 27.0499, 26.0652, 25.7166]],\n", + "\n", + " [[28.0095, 28.0023, 27.9857, 27.8833, 27.5395]],\n", + "\n", + " [[27.9423, 27.9935, 28.0018, 27.9331, 27.4018]]],\n", + "\n", + "\n", + " [[[28.4140, 28.1344, 28.1674, 28.2400, 28.2245]],\n", + "\n", + " [[30.4745, 28.6818, 27.2971, 26.6943, 26.3979]],\n", + "\n", + " [[27.9998, 27.4708, 26.5566, 25.8237, 25.7254]],\n", + "\n", + " ...,\n", + "\n", + " [[28.7028, 28.7438, 28.7002, 28.5092, 27.9848]],\n", + "\n", + " [[28.8335, 28.5164, 27.9544, 27.1166, 27.0547]],\n", + "\n", + " [[28.3829, 28.0721, 27.2136, 26.8620, 26.7569]]],\n", + "\n", + "\n", + " [[[27.1117, 26.7495, 26.0491, 25.0433, 24.7066]],\n", + "\n", + " [[27.0500, 27.0760, 26.6286, 26.1485, 25.5146]],\n", + "\n", + " [[24.4611, 24.6770, 24.4100, 24.0447, 23.4817]],\n", + "\n", + " ...,\n", + "\n", + " [[27.6250, 27.2005, 27.3546, 27.2408, 27.0830]],\n", + "\n", + " [[29.3017, 28.7049, 27.7797, 26.7985, 26.5585]],\n", + "\n", + " [[28.7898, 28.5930, 28.6728, 28.7654, 28.8239]]]],\n", + "\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + "\n", + " [[[[29.5524, 28.5614, 28.3742, 28.3007, 28.0692]],\n", + "\n", + " [[26.2364, 26.3179, 26.1447, 25.7215, 25.2185]],\n", + "\n", + " [[27.0043, 26.9502, 26.6481, 26.0185, 25.9459]],\n", + "\n", + " ...,\n", + "\n", + " [[26.4173, 26.1788, 25.5947, 24.9629, 24.9614]],\n", + "\n", + " [[29.5518, 28.9674, 28.8259, 29.2145, 29.2859]],\n", + "\n", + " [[28.7682, 28.0618, 27.5437, 26.8149, 26.2640]]],\n", + "\n", + "\n", + " [[[29.1071, 28.9026, 28.7096, 28.4162, 28.2203]],\n", + "\n", + " [[28.4346, 28.2326, 27.8869, 27.0552, 26.8308]],\n", + "\n", + " [[28.0533, 28.0663, 28.1335, 28.1219, 28.1221]],\n", + "\n", + " ...,\n", + "\n", + " [[28.7893, 28.5037, 28.0352, 27.1094, 26.9968]],\n", + "\n", + " [[28.7538, 28.5887, 28.6599, 28.7531, 28.8324]],\n", + "\n", + " [[27.7452, 27.7679, 27.6553, 27.0350, 26.8571]]],\n", + "\n", + "\n", + " [[[28.0212, 28.0724, 28.1321, 28.1623, 27.7882]],\n", + "\n", + " [[31.3401, 30.1425, 28.8250, 27.7816, 27.3433]],\n", + "\n", + " [[26.1942, 26.3142, 26.4006, 26.2527, 25.9372]],\n", + "\n", + " ...,\n", + "\n", + " [[26.7124, 26.4546, 25.9679, 25.0357, 24.9012]],\n", + "\n", + " [[28.9688, 28.9686, 29.0292, 28.9864, 28.9730]],\n", + "\n", + " [[28.6757, 28.5411, 28.6433, 28.7780, 28.8951]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[29.1698, 28.1318, 27.6411, 27.6524, 27.4133]],\n", + "\n", + " [[27.7686, 27.6820, 27.4106, 26.6848, 26.5330]],\n", + "\n", + " [[28.1112, 28.1747, 28.3163, 28.4022, 28.5000]],\n", + "\n", + " ...,\n", + "\n", + " [[27.8169, 27.8518, 27.7890, 27.6661, 27.0202]],\n", + "\n", + " [[23.8373, 23.8155, 23.8327, 23.7167, 23.3517]],\n", + "\n", + " [[30.4169, 29.0920, 28.0370, 27.6947, 27.5063]]],\n", + "\n", + "\n", + " [[[29.2939, 28.9127, 28.8622, 28.9153, 29.0138]],\n", + "\n", + " [[27.9044, 28.0208, 28.1714, 28.2860, 28.3994]],\n", + "\n", + " [[29.4239, 28.7421, 28.2458, 27.9357, 27.3295]],\n", + "\n", + " ...,\n", + "\n", + " [[28.8007, 28.4601, 27.8745, 27.1191, 26.5765]],\n", + "\n", + " [[29.5929, 29.2283, 28.6694, 27.7513, 27.4997]],\n", + "\n", + " [[28.0482, 27.8841, 27.9599, 28.0636, 28.1039]]],\n", + "\n", + "\n", + " [[[27.7146, 27.1883, 27.0749, 27.0854, 26.7161]],\n", + "\n", + " [[28.6304, 28.5682, 28.5866, 28.3787, 28.2022]],\n", + "\n", + " [[29.4081, 28.3118, 27.4482, 27.1988, 27.0597]],\n", + "\n", + " ...,\n", + "\n", + " [[28.6289, 27.4644, 25.9924, 25.0130, 24.2492]],\n", + "\n", + " [[28.6625, 28.3407, 27.8231, 26.8836, 26.7142]],\n", + "\n", + " [[28.9540, 28.1226, 27.0454, 26.1656, 25.3661]]]],\n", + "\n", + "\n", + "\n", + " [[[[29.5726, 29.1556, 29.0523, 29.2003, 29.1448]],\n", + "\n", + " [[28.2420, 28.2681, 28.2825, 28.2587, 27.7847]],\n", + "\n", + " [[28.9937, 27.7059, 26.3156, 25.6610, 25.3180]],\n", + "\n", + " ...,\n", + "\n", + " [[27.7791, 27.5951, 27.2104, 26.8221, 25.9849]],\n", + "\n", + " [[28.5317, 27.7830, 27.5130, 27.1456, 26.7913]],\n", + "\n", + " [[27.4586, 27.5662, 27.8035, 27.7396, 27.8291]]],\n", + "\n", + "\n", + " [[[25.0647, 25.1474, 25.2693, 25.3693, 25.4608]],\n", + "\n", + " [[30.6084, 29.1838, 28.9004, 28.7616, 28.4884]],\n", + "\n", + " [[28.5543, 28.6722, 28.7835, 28.3909, 28.3841]],\n", + "\n", + " ...,\n", + "\n", + " [[30.8113, 29.1769, 27.7952, 26.9284, 26.6214]],\n", + "\n", + " [[28.7014, 28.6761, 28.6722, 28.5590, 28.2826]],\n", + "\n", + " [[28.4185, 27.7239, 26.6475, 26.1349, 26.0121]]],\n", + "\n", + "\n", + " [[[31.1708, 29.5893, 28.6446, 28.4286, 28.4484]],\n", + "\n", + " [[29.7342, 28.6171, 27.2581, 26.1982, 25.6392]],\n", + "\n", + " [[25.7314, 25.7702, 25.2518, 24.7441, 23.9066]],\n", + "\n", + " ...,\n", + "\n", + " [[26.7025, 26.5577, 26.1887, 25.4195, 25.1614]],\n", + "\n", + " [[25.6593, 25.7190, 25.5525, 25.2542, 24.7779]],\n", + "\n", + " [[29.9816, 29.0508, 27.8402, 27.5647, 27.4186]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[27.5269, 27.3710, 27.4709, 27.5980, 27.6911]],\n", + "\n", + " [[25.2736, 25.2482, 25.4705, 25.2174, 25.1011]],\n", + "\n", + " [[28.8686, 28.5853, 28.0901, 27.5269, 26.8331]],\n", + "\n", + " ...,\n", + "\n", + " [[27.3617, 27.3303, 27.1253, 26.9562, 26.2363]],\n", + "\n", + " [[26.9406, 26.9383, 26.9984, 27.0311, 27.0509]],\n", + "\n", + " [[30.4415, 29.0485, 28.7837, 28.6812, 28.4376]]],\n", + "\n", + "\n", + " [[[29.6400, 29.4135, 29.0081, 28.5585, 27.8050]],\n", + "\n", + " [[29.0894, 28.7772, 28.0693, 27.4704, 27.3365]],\n", + "\n", + " [[29.3154, 28.9649, 28.4832, 28.0323, 27.2264]],\n", + "\n", + " ...,\n", + "\n", + " [[27.8658, 27.7034, 27.2691, 26.8396, 26.0098]],\n", + "\n", + " [[30.3216, 28.7075, 27.9723, 27.7787, 27.2612]],\n", + "\n", + " [[25.8086, 25.6513, 25.6025, 25.5759, 25.3737]]],\n", + "\n", + "\n", + " [[[29.7457, 29.0427, 27.9854, 27.3057, 27.1486]],\n", + "\n", + " [[28.1807, 27.4492, 26.3138, 25.8952, 25.7794]],\n", + "\n", + " [[28.7816, 28.7893, 28.7914, 28.7931, 28.3060]],\n", + "\n", + " ...,\n", + "\n", + " [[27.2298, 27.2545, 27.1158, 26.4910, 26.4571]],\n", + "\n", + " [[30.3690, 29.2712, 29.0367, 29.0733, 29.1222]],\n", + "\n", + " [[31.4553, 30.0150, 28.6574, 27.7130, 27.3771]]]],\n", + "\n", + "\n", + "\n", + " [[[[28.4125, 28.1560, 27.6500, 26.8898, 26.4077]],\n", + "\n", + " [[30.0882, 28.9212, 27.6470, 26.7635, 25.9028]],\n", + "\n", + " [[28.8634, 28.5762, 28.1112, 27.2041, 27.0245]],\n", + "\n", + " ...,\n", + "\n", + " [[29.4572, 28.9907, 28.2182, 27.4084, 27.3007]],\n", + "\n", + " [[28.0354, 27.8439, 27.4768, 26.7762, 26.3699]],\n", + "\n", + " [[29.9815, 29.0106, 27.7736, 26.8590, 26.0737]]],\n", + "\n", + "\n", + " [[[31.0458, 29.3973, 29.0088, 28.8696, 28.5571]],\n", + "\n", + " [[27.2384, 27.2649, 27.3190, 27.2996, 26.9919]],\n", + "\n", + " [[28.2852, 28.2775, 28.3514, 28.3800, 28.3875]],\n", + "\n", + " ...,\n", + "\n", + " [[28.1939, 27.9609, 27.8389, 27.5116, 27.3065]],\n", + "\n", + " [[27.1428, 27.2438, 27.3976, 27.5198, 27.3557]],\n", + "\n", + " [[27.2696, 26.7652, 26.6884, 27.0463, 26.8596]]],\n", + "\n", + "\n", + " [[[28.9316, 28.9477, 29.0258, 29.0574, 29.0786]],\n", + "\n", + " [[27.9803, 28.0653, 28.1159, 27.7718, 27.5591]],\n", + "\n", + " [[27.4120, 27.4426, 27.5464, 27.5619, 27.5238]],\n", + "\n", + " ...,\n", + "\n", + " [[28.8064, 28.4364, 27.8298, 26.8813, 26.6491]],\n", + "\n", + " [[31.5296, 29.4846, 28.9468, 28.8488, 28.8414]],\n", + "\n", + " [[24.4781, 24.5761, 24.6586, 24.5853, 24.2155]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[29.4051, 29.1585, 28.7624, 27.8894, 27.6608]],\n", + "\n", + " [[28.7173, 28.6005, 28.6761, 28.7582, 28.7827]],\n", + "\n", + " [[28.1082, 28.0026, 28.0922, 28.1888, 28.2269]],\n", + "\n", + " ...,\n", + "\n", + " [[30.3499, 29.8042, 28.9708, 28.0954, 27.9295]],\n", + "\n", + " [[27.9172, 26.7333, 25.9871, 25.7744, 25.6448]],\n", + "\n", + " [[29.6497, 29.1632, 28.1636, 27.7102, 27.5476]]],\n", + "\n", + "\n", + " [[[28.9694, 28.7469, 28.7855, 28.8804, 28.9999]],\n", + "\n", + " [[28.8080, 28.5268, 27.9619, 27.4623, 26.6148]],\n", + "\n", + " [[27.4745, 27.4978, 27.3192, 27.0561, 26.5834]],\n", + "\n", + " ...,\n", + "\n", + " [[27.2812, 27.0640, 26.8068, 26.4606, 25.9676]],\n", + "\n", + " [[27.6672, 27.7331, 27.7237, 27.4917, 27.0504]],\n", + "\n", + " [[27.0795, 26.8442, 26.3511, 25.5551, 25.1159]]],\n", + "\n", + "\n", + " [[[28.8153, 28.7984, 28.7944, 28.6814, 28.3760]],\n", + "\n", + " [[26.7696, 26.7656, 26.4605, 25.9488, 25.9547]],\n", + "\n", + " [[29.0097, 28.9396, 28.9652, 28.9292, 28.8661]],\n", + "\n", + " ...,\n", + "\n", + " [[29.0851, 28.3902, 27.3142, 26.7531, 26.6182]],\n", + "\n", + " [[28.4058, 28.0952, 28.1172, 28.1884, 28.2192]],\n", + "\n", + " [[25.5183, 25.6898, 25.4007, 24.9426, 24.4339]]]]],\n", + " dtype=torch.float64)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hey" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "208b2592", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d77cdf80", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4abe1210", + "metadata": {}, + "outputs": [], + "source": [ + "prior._sample_galaxy_fluxes()" + ] + }, + { + "cell_type": "markdown", + "id": "6ba266c7", + "metadata": {}, + "source": [ + "Now trying to read DC2 (yikes)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "24680fa0", + "metadata": {}, + "outputs": [], + "source": [ + "hey = pd.read_csv('/data/scratch/declan/dc2_truth_mini.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ee5e3d0c", + "metadata": {}, + "outputs": [], + "source": [ + "hey.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1cd76bfa", + "metadata": {}, + "outputs": [], + "source": [ + "hey = hey[['mag_u', 'mag_g', 'mag_r', 'mag_i', 'mag_z', 'redshift', 'truth_type']]\n", + "hey = hey.dropna(axis=0, how='any')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0c9e24f0", + "metadata": {}, + "outputs": [], + "source": [ + "hey.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8b48d464", + "metadata": {}, + "outputs": [], + "source": [ + "stars = hey[hey['truth_type'] == 2].drop('truth_type', axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2a0c1c82", + "metadata": {}, + "outputs": [], + "source": [ + "galaxies = hey[hey['truth_type'] == 1].drop('truth_type', axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "395b2079", + "metadata": {}, + "outputs": [], + "source": [ + "stars.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9857d397", + "metadata": {}, + "outputs": [], + "source": [ + "galaxies.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2420c847", + "metadata": {}, + "outputs": [], + "source": [ + "galaxies.to_csv('/data/scratch/declan/dc2_truth_galaxies_mini_clean.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cbb6101e", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7f633f5b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2461c903", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "caac6615", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "972f9bd4", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12a7995d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "467801d0", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "765858d4", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c11f227c", + "metadata": {}, + "outputs": [], + "source": [ + "(hey['redshift'] == 0).sum()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b97d054", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.hist(hey['redshift'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88315ec3", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "67f478f4", + "metadata": {}, + "outputs": [], + "source": [ + "hey['mag_u'].values.min()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f523c066", + "metadata": {}, + "outputs": [], + "source": [ + "hey.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8faf3f8d", + "metadata": {}, + "outputs": [], + "source": [ + "hey = hey[['mag_u', 'mag_g', 'mag_r', 'mag_i', 'mag_z', 'redshift']]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d3dad233", + "metadata": {}, + "outputs": [], + "source": [ + "hey = hey.dropna(axis=0, how='any')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "afb44100", + "metadata": {}, + "outputs": [], + "source": [ + "hey.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3acaa5f7", + "metadata": {}, + "outputs": [], + "source": [ + "hey.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d7e56f41", + "metadata": {}, + "outputs": [], + "source": [ + "hey.to_csv('dc2_truth_mini_clean.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cc4a5644", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e2fe373", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d07a8d77", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d3bafd0d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d01a8e37", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64a98dca", + "metadata": {}, + "outputs": [], + "source": [ + "star = pd.read_csv('/data/scratch/declan/STAR.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a3fc1a1b", + "metadata": {}, + "outputs": [], + "source": [ + "star.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3c9f8b7", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4de1f4a1", + "metadata": {}, + "outputs": [], + "source": [ + "path = \"/data/scratch/declan/photometric_data.csv\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dbf6b266", + "metadata": {}, + "outputs": [], + "source": [ + "view = pd.read_csv(path, header=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f6a34c12", + "metadata": {}, + "outputs": [], + "source": [ + "view.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c52be757", + "metadata": {}, + "outputs": [], + "source": [ + "new = view.drop(0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "674239f7", + "metadata": {}, + "outputs": [], + "source": [ + "new.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c7e22e5d", + "metadata": {}, + "outputs": [], + "source": [ + "galaxy_only = new[new['source_type'] == \"GALAXY\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2684e567", + "metadata": {}, + "outputs": [], + "source": [ + "star_only = new[new['source_type'] == \"STAR\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c9e8eeaf", + "metadata": {}, + "outputs": [], + "source": [ + "galaxy_only.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b3f43d43", + "metadata": {}, + "outputs": [], + "source": [ + "star_only.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8af8dc8e", + "metadata": {}, + "outputs": [], + "source": [ + "galaxy_only.to_csv(\"/data/scratch/declan/GALAXY.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "33d12e62", + "metadata": {}, + "outputs": [], + "source": [ + "star_only.to_csv(\"/data/scratch/declan/STAR.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c78bbfa2", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/other/CombinedTruth.ipynb b/case_studies/redshift_estimation/notebooks/other/CombinedTruth.ipynb new file mode 100644 index 000000000..55eb74f78 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/other/CombinedTruth.ipynb @@ -0,0 +1,1407 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "5c40ee8a", + "metadata": {}, + "source": [ + "## Investigating Stars & Galaxies Redshift" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "08f7b6a8", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import math\n", + "import numpy as np\n", + "import torch\n", + "import pandas as pd\n", + "import GCRCatalogs\n", + "from GCR import GCRQuery" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "06befbeb", + "metadata": {}, + "outputs": [], + "source": [ + "# Command line: within virtual environment run \n", + "# python -m pip install https://github.com/LSSTDESC/gcr-catalogs/archive/v1.4.0.tar.gz#egg=GCRCatalogs[full]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e4f97dbf", + "metadata": {}, + "outputs": [], + "source": [ + "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier/')\n", + "GCRCatalogs.get_root_dir()\n", + "# need to do this in accordance with instructions at https://data.lsstdesc.org/doc/install_gcr" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "edca2c09", + "metadata": {}, + "outputs": [], + "source": [ + "# List of public catalog names\n", + "GCRCatalogs.get_public_catalog_names()" + ] + }, + { + "cell_type": "markdown", + "id": "57acc682", + "metadata": {}, + "source": [ + "We're generally going to be interested in the truth files, which we know will have redshift and photometry values for us to use. Let's load a truth file and examine the fields we have available to us. We can explore relevant fields." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec559992", + "metadata": {}, + "outputs": [], + "source": [ + "truth_cat = GCRCatalogs.load_catalog('desc_dc2_run2.2i_dr6_truth')\n", + "truth_cat.list_all_quantities()" + ] + }, + { + "cell_type": "markdown", + "id": "363b758f", + "metadata": {}, + "source": [ + "Jacky found the following link that gives details on some fields: https://github.com/LSSTDESC/gcr-catalogs/blob/master/GCRCatalogs/SCHEMA.md\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "c7b943fd", + "metadata": {}, + "source": [ + "In particular, we have that `truth_type==2` corresponds to stars, and `truth_type==1` for galaxies. However, Jacky also found that all stars had zero redshift, which was very strange. Let's investigate.\n", + "\n", + "**The cell below will take a few minutes to run.**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "669973bd", + "metadata": {}, + "outputs": [], + "source": [ + "data = truth_cat.get_quantities([\"truth_type\", \"redshift\"])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e5f314e6", + "metadata": {}, + "outputs": [], + "source": [ + "only_stars = GCRQuery('truth_type == 2')\n", + "data_only_stars = only_stars.filter(data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50251c6e", + "metadata": {}, + "outputs": [], + "source": [ + "data_only_stars.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f9204ef1", + "metadata": {}, + "outputs": [], + "source": [ + "data_only_stars['truth_type'][:10]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "19fbe404", + "metadata": {}, + "outputs": [], + "source": [ + "data_only_stars['redshift'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fa23cddb", + "metadata": {}, + "outputs": [], + "source": [ + "(data_only_stars['redshift'] != 0).sum()" + ] + }, + { + "cell_type": "markdown", + "id": "4ed7a388", + "metadata": {}, + "source": [ + "Indeed, all stars have redshift zero. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eece9d0b", + "metadata": {}, + "outputs": [], + "source": [ + "(data['redshift'] != 0).sum()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c55b0322", + "metadata": {}, + "outputs": [], + "source": [ + "data['redshift'].shape" + ] + }, + { + "cell_type": "markdown", + "id": "e771a697", + "metadata": {}, + "source": [ + "If we investigate the shapes above, it appears that that the data catalog has a total of 764 million objects. Of these, there are about 4 million stars only, and it appears about 5 million objects total with redshift == 0. Clearly the stars comprise these. Let's focus on galaxies instead, we will filter for these." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "630f4843", + "metadata": {}, + "outputs": [], + "source": [ + "only_galaxies = GCRQuery('truth_type == 1')\n", + "data_only_galaxies = only_galaxies.filter(data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "138f81e6", + "metadata": {}, + "outputs": [], + "source": [ + "data_only_galaxies['redshift'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fe4c5f46", + "metadata": {}, + "outputs": [], + "source": [ + "(data_only_galaxies['redshift'] != 0).sum()" + ] + }, + { + "cell_type": "markdown", + "id": "3797b8c0", + "metadata": {}, + "source": [ + "So contrarily for galaxies, every single redshift is nonzero, which is precisely what we want. Let's extract these galaxies to `.csv` for use in our data simulation process. However, we might as well extract galaxy and other parameters as well in case we want them later on. We will investigate the contents of other catalogs and merge as required." + ] + }, + { + "cell_type": "markdown", + "id": "8034e7c1", + "metadata": {}, + "source": [ + "## Merge Catalog (IGNORE THESE CELLS)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2142dbe5", + "metadata": {}, + "outputs": [], + "source": [ + "# A bit wonky with filepaths and where stuff is located\n", + "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier/lsstdesc-public/dc2/')\n", + "GCRCatalogs.get_root_dir()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c352b2b8", + "metadata": {}, + "outputs": [], + "source": [ + "match_cat = GCRCatalogs.load_catalog('desc_dc2_run2.2i_dr6_object_with_truth_match')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "48467f54", + "metadata": {}, + "outputs": [], + "source": [ + "quantities = match_cat.list_all_quantities()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8bc1bfe7", + "metadata": {}, + "outputs": [], + "source": [ + "quantities" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fe23b844", + "metadata": {}, + "outputs": [], + "source": [ + "list(filter(lambda k: 'redshift' in k, quantities))" + ] + }, + { + "cell_type": "markdown", + "id": "2bc88181", + "metadata": {}, + "source": [ + "I'm unsure what `redshift_truth` is, and how it differs from the `redshift` field in the other catalog. I have reason to believe this is catalog is deprecated b/c it's from v2 rather than v4 of the public releases from GCRCatalogs: https://github.com/LSSTDESC/gcr-catalogs/releases\n", + "\n", + "I'm going to ignore this catalog for now. It appears to only really have PSF stuff anyway, which we don't really need for our purposes?" + ] + }, + { + "cell_type": "markdown", + "id": "bb4ee762", + "metadata": {}, + "source": [ + "## CosmoDC2 Catalog + Merging With Truth Catalog" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "1cd4643b", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import math\n", + "import numpy as np\n", + "import torch\n", + "import pandas as pd\n", + "import GCRCatalogs\n", + "from GCR import GCRQuery" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "596ad137", + "metadata": {}, + "outputs": [], + "source": [ + "# Command line: within virtual environment run \n", + "# python -m pip install https://github.com/LSSTDESC/gcr-catalogs/archive/v1.4.0.tar.gz#egg=GCRCatalogs[full]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "0bbe8983", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/nfs/turbo/lsa-regier/'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier/')\n", + "GCRCatalogs.get_root_dir()\n", + "# need to do this in accordance with instructions at https://data.lsstdesc.org/doc/install_gcr" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c537a3b4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['desc_cosmodc2',\n", + " 'desc_dc2_run2.2i_dr6_object',\n", + " 'desc_dc2_run2.2i_dr6_object_with_truth_match',\n", + " 'desc_dc2_run2.2i_dr6_truth',\n", + " 'desc_dc2_run2.2i_truth_galaxy_summary',\n", + " 'desc_dc2_run2.2i_truth_sn_summary',\n", + " 'desc_dc2_run2.2i_truth_sn_variability',\n", + " 'desc_dc2_run2.2i_truth_star_summary',\n", + " 'desc_dc2_run2.2i_truth_star_variability']" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# List of public catalog names\n", + "GCRCatalogs.get_public_catalog_names()" + ] + }, + { + "cell_type": "markdown", + "id": "8dbb5fde", + "metadata": {}, + "source": [ + "We're generally going to be interested in the truth files, which we know will have redshift and photometry values for us to use. Let's load a truth file and examine the fields we have available to us. We can explore relevant fields." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ae688087", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['flux_g',\n", + " 'cosmodc2_hp',\n", + " 'mag_i',\n", + " 'patch',\n", + " 'mag_y',\n", + " 'flux_u',\n", + " 'tract',\n", + " 'dec',\n", + " 'flux_r',\n", + " 'av',\n", + " 'id',\n", + " 'redshift',\n", + " 'rv',\n", + " 'cosmodc2_id',\n", + " 'ra',\n", + " 'match_objectId',\n", + " 'is_unique_truth_entry',\n", + " 'flux_y',\n", + " 'mag_g',\n", + " 'is_nearest_neighbor',\n", + " 'host_galaxy',\n", + " 'mag_z',\n", + " 'is_good_match',\n", + " 'flux_i',\n", + " 'truth_type',\n", + " 'match_sep',\n", + " 'flux_z',\n", + " 'mag_r',\n", + " 'mag_u',\n", + " 'id_string']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_cat = GCRCatalogs.load_catalog('desc_dc2_run2.2i_dr6_truth')\n", + "truth_cat.list_all_quantities()" + ] + }, + { + "cell_type": "markdown", + "id": "f0b2872a", + "metadata": {}, + "source": [ + "First let's reload all relevant quantities from the truth catalog we're familiar with.\n", + "\n", + "**The cell below will take a long time to run.**" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "650a6ce1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished flux_u\n", + "Finished flux_g\n", + "Finished flux_r\n", + "Finished flux_i\n", + "Finished flux_z\n", + "Finished flux_y\n", + "Finished mag_u\n", + "Finished mag_g\n", + "Finished mag_r\n", + "Finished mag_i\n", + "Finished mag_z\n", + "Finished mag_y\n", + "Finished truth_type\n", + "Finished redshift\n", + "Finished id\n", + "Finished match_objectId\n", + "Finished cosmodc2_id\n", + "Finished id_string\n" + ] + } + ], + "source": [ + "all_truth_data = {}\n", + "quantities = [\"flux_u\", \"flux_g\", \"flux_r\", \"flux_i\", \"flux_z\", \"flux_y\",\n", + " \"mag_u\", \"mag_g\", \"mag_r\", \"mag_i\", \"mag_z\", \"mag_y\",\n", + " \"truth_type\", \"redshift\",\n", + " \"id\", \"match_objectId\", \"cosmodc2_id\", \"id_string\"]\n", + "for q in quantities:\n", + " this_field = truth_cat.get_quantities([q])\n", + " all_truth_data[q] = this_field[q]\n", + " print('Finished {}'.format(q))\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "0dff9cbc", + "metadata": {}, + "outputs": [], + "source": [ + "truth_data = pd.DataFrame(all_truth_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "180c0994", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(764026213, 18)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "a5e264f6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
flux_uflux_gflux_rflux_iflux_zflux_ymag_umag_gmag_rmag_imag_zmag_ytruth_typeredshiftidmatch_objectIdcosmodc2_idid_string
05678.7089845577.5175786334.5024418848.51562515267.94726619116.74023422.01437822.03389721.89571821.53282420.94055020.69646811.05046810940305839119759064195403431094030583910940305839
1146.5180211341.1317145984.99462912850.58105518818.28320322972.25000025.98527523.58132221.95734021.12769720.71355120.49699410.47481910937870093119759064195412061093787009310937870093
2134.074341272.126617766.9030152072.0495612690.3303223052.68896526.08163825.31307424.18814823.10899922.82548722.68829310.75903611563663598119760438584934411156366359811563663598
3932.0081181224.2807622598.8271486678.4086919719.28027311019.93750023.97645223.68029822.86305621.83831821.43091421.29455410.80850210938869183119760438584934431093886918310938869183
435.554699104.535225462.3018491221.9360352384.8063962966.53906227.52275826.35184524.73768623.68238122.95636922.71937610.84929811564005688119760438584937371156400568811564005688
5577.276917648.449158943.1256102090.3359382522.6767582646.65112324.49654024.37031023.96357723.09946122.89534622.84325810.82261411563831110119760438584937381156383111011563831110
6893.910278838.389343976.0228881568.7298582002.0577392065.45996124.02176724.09138723.92635223.41113123.14630923.11245910.92938011564445231119760438584937391156444523111564445231
7610.097229828.8851931807.4377442516.5556642857.0297853111.17724624.43650424.10376523.25734122.89798522.76021222.66769010.51786411562943167119760438584937401156294316711562943167
8607.9747921396.3231202972.8225103748.6533204305.6293954791.28271524.44028923.53753722.71707722.46531322.31490922.19887010.30716410937620679119760438584937411093762067910937620679
9287.352844495.0523681347.4246831959.8701172078.4250492199.09472725.25396324.66337423.57624123.16943223.10566323.04439210.57274611563034476119760438584937421156303447611563034476
\n", + "
" + ], + "text/plain": [ + " flux_u flux_g flux_r flux_i flux_z \\\n", + "0 5678.708984 5577.517578 6334.502441 8848.515625 15267.947266 \n", + "1 146.518021 1341.131714 5984.994629 12850.581055 18818.283203 \n", + "2 134.074341 272.126617 766.903015 2072.049561 2690.330322 \n", + "3 932.008118 1224.280762 2598.827148 6678.408691 9719.280273 \n", + "4 35.554699 104.535225 462.301849 1221.936035 2384.806396 \n", + "5 577.276917 648.449158 943.125610 2090.335938 2522.676758 \n", + "6 893.910278 838.389343 976.022888 1568.729858 2002.057739 \n", + "7 610.097229 828.885193 1807.437744 2516.555664 2857.029785 \n", + "8 607.974792 1396.323120 2972.822510 3748.653320 4305.629395 \n", + "9 287.352844 495.052368 1347.424683 1959.870117 2078.425049 \n", + "\n", + " flux_y mag_u mag_g mag_r mag_i mag_z \\\n", + "0 19116.740234 22.014378 22.033897 21.895718 21.532824 20.940550 \n", + "1 22972.250000 25.985275 23.581322 21.957340 21.127697 20.713551 \n", + "2 3052.688965 26.081638 25.313074 24.188148 23.108999 22.825487 \n", + "3 11019.937500 23.976452 23.680298 22.863056 21.838318 21.430914 \n", + "4 2966.539062 27.522758 26.351845 24.737686 23.682381 22.956369 \n", + "5 2646.651123 24.496540 24.370310 23.963577 23.099461 22.895346 \n", + "6 2065.459961 24.021767 24.091387 23.926352 23.411131 23.146309 \n", + "7 3111.177246 24.436504 24.103765 23.257341 22.897985 22.760212 \n", + "8 4791.282715 24.440289 23.537537 22.717077 22.465313 22.314909 \n", + "9 2199.094727 25.253963 24.663374 23.576241 23.169432 23.105663 \n", + "\n", + " mag_y truth_type redshift id match_objectId \\\n", + "0 20.696468 1 1.050468 10940305839 11975906419540343 \n", + "1 20.496994 1 0.474819 10937870093 11975906419541206 \n", + "2 22.688293 1 0.759036 11563663598 11976043858493441 \n", + "3 21.294554 1 0.808502 10938869183 11976043858493443 \n", + "4 22.719376 1 0.849298 11564005688 11976043858493737 \n", + "5 22.843258 1 0.822614 11563831110 11976043858493738 \n", + "6 23.112459 1 0.929380 11564445231 11976043858493739 \n", + "7 22.667690 1 0.517864 11562943167 11976043858493740 \n", + "8 22.198870 1 0.307164 10937620679 11976043858493741 \n", + "9 23.044392 1 0.572746 11563034476 11976043858493742 \n", + "\n", + " cosmodc2_id id_string \n", + "0 10940305839 10940305839 \n", + "1 10937870093 10937870093 \n", + "2 11563663598 11563663598 \n", + "3 10938869183 10938869183 \n", + "4 11564005688 11564005688 \n", + "5 11563831110 11563831110 \n", + "6 11564445231 11564445231 \n", + "7 11562943167 11562943167 \n", + "8 10937620679 10937620679 \n", + "9 11563034476 11563034476 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_data.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cef56e3c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "70.290411724" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_data.memory_usage().sum()/1e9 # in GB" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "74bff3e0", + "metadata": {}, + "outputs": [], + "source": [ + "truth_data.to_csv('/data/scratch/declan/dc2_truth.csv')" + ] + }, + { + "cell_type": "markdown", + "id": "8fa85307", + "metadata": {}, + "source": [ + "The `cosmo` catalog contains cosmological parameter values. It's only concerning galaxies, not stars. Again, more information can be found here: https://github.com/LSSTDESC/gcr-catalogs/blob/master/GCRCatalogs/SCHEMA.md" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d91a88be", + "metadata": {}, + "outputs": [], + "source": [ + "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier')\n", + "GCRCatalogs.get_root_dir()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "239d99c5", + "metadata": {}, + "outputs": [], + "source": [ + "cosmo_cat = GCRCatalogs.load_catalog('desc_cosmodc2')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e6d154eb", + "metadata": {}, + "outputs": [], + "source": [ + "cosmo_cat.list_all_quantities()" + ] + }, + { + "cell_type": "markdown", + "id": "b233deb3", + "metadata": {}, + "source": [ + "There are a lot of parameters here. Following @Xinyue's notebook, I will extract the following galaxy parameters (about shape, i.e. disk and bulge, etc.), and additionally I'll extract: redshift, and all flux magnitudes in all bands. This includes all the different types of fluxes, which we can sort out later. We also extract `galaxy_id` which can be used to merge with our truth table (?)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a4ff206", + "metadata": {}, + "outputs": [], + "source": [ + "gal_params = [\n", + " \"galaxy_id\", \"position_angle_true\", \"size_minor_disk_true\", \n", + " \"size_disk_true\", \"size_minor_bulge_true\", \n", + " \"size_bulge_true\", \"bulge_to_total_ratio_i\"\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2266e15d", + "metadata": {}, + "outputs": [], + "source": [ + "#mag_fields = list(filter(lambda k: 'mag' in k, cosmo_cat.list_all_quantities()))\n", + "mag_fields = ['mag_u', 'mag_g', 'mag_r', 'mag_i', 'mag_z', 'mag_y']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d5838ef0", + "metadata": {}, + "outputs": [], + "source": [ + "redshift_fields = list(filter(lambda k: 'redshift' in k, cosmo_cat.list_all_quantities()))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5af6297b", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "to_extract = gal_params + mag_fields + redshift_fields\n", + "to_extract" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "976c59d2", + "metadata": {}, + "outputs": [], + "source": [ + "type(cosmo_cat)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38d361bf", + "metadata": {}, + "outputs": [], + "source": [ + "type(cosmo_cat._file_list)" + ] + }, + { + "cell_type": "markdown", + "id": "284019cf", + "metadata": {}, + "source": [ + "The CosmoDC2 Catalog is enormous. It's about 4.6 TB worth of data to load everything. I'm not even sure how many objects it considers. If you investigate the `_file_list` you'll see a list of all the files it loads. Below, I manually edit this list to reduce it to the first `num_files` files. This results in a drastic speedup." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d2901b45", + "metadata": {}, + "outputs": [], + "source": [ + "num_files = 7\n", + "to_keep = list(cosmo_cat._file_list.keys())[:num_files]\n", + "to_remove = list(cosmo_cat._file_list.keys())[num_files:]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fc1f6596", + "metadata": {}, + "outputs": [], + "source": [ + "for key in to_remove:\n", + " if key in cosmo_cat._file_list:\n", + " cosmo_cat._file_list.pop(key)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "35a6d874", + "metadata": {}, + "outputs": [], + "source": [ + "all_cosmo_data = {}\n", + "for q in to_extract:\n", + " this_field = cosmo_cat.get_quantities([q])\n", + " all_cosmo_data[q] = this_field[q]\n", + " print('Finished {}'.format(q))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6378897", + "metadata": {}, + "outputs": [], + "source": [ + "cosmo_data = pd.DataFrame(all_cosmo_data)" + ] + }, + { + "cell_type": "markdown", + "id": "c07eb64d", + "metadata": {}, + "source": [ + "The number of objects below can be increased by reading more files above. Currently the file list is restricted to 7 files." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e09cb3ff", + "metadata": {}, + "outputs": [], + "source": [ + "cosmo_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "09ab0fc9", + "metadata": {}, + "outputs": [], + "source": [ + "cosmo_data.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73b0c41e", + "metadata": {}, + "outputs": [], + "source": [ + "ids_in_both = np.intersect1d(np.array(cosmo_data['galaxy_id']), np.array(truth_data['cosmodc2_id']))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3641d4d1", + "metadata": {}, + "outputs": [], + "source": [ + "ids_in_both.shape" + ] + }, + { + "cell_type": "markdown", + "id": "b4ed85a8", + "metadata": {}, + "source": [ + "### Let's try to merge the two!\n", + "\n", + "We merge the cosmological parameters *into* the truth catalog. This is why below we do a 'left' merge. Following @Xinyue, the field we merge on is called \"cosmodc2_id\" in the truth catalog and just \"galaxy_id\" in the cosmoDC2 catalog." + ] + }, + { + "cell_type": "markdown", + "id": "1276f6ec", + "metadata": {}, + "source": [ + "First we filter each to only have `ids_in_both`. This speeds up the merge. We could also have `set_index` on these two but I like seeing how many objects there are." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "acf26bab", + "metadata": {}, + "outputs": [], + "source": [ + "filtered_cosmo_data = cosmo_data.set_index('galaxy_id').loc[ids_in_both]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "db3bcc0e", + "metadata": {}, + "outputs": [], + "source": [ + "filtered_truth_data = truth_data.set_index('cosmodc2_id').loc[ids_in_both]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "91984062", + "metadata": {}, + "outputs": [], + "source": [ + "filtered_cosmo_data.shape, filtered_truth_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3a397552", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df = truth_data.merge(cosmo_data,\n", + " left_index=True, \n", + " right_index=True,\n", + " how = \"inner\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "54db2e08", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "94eaf8a7", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "49c96f2b", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df.filter(regex='redshift', axis=1).head(20)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44fe16e8", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.hist(combined_df['redshift_y'].values)" + ] + }, + { + "cell_type": "markdown", + "id": "5574c35b", + "metadata": {}, + "source": [ + "Here's link that seems not very useful? https://irsa.ipac.caltech.edu/data/theory/Cosmosims/gator_docs/CosmoDC2_Mock_V1_Catalog.html" + ] + }, + { + "cell_type": "markdown", + "id": "925a7d0c", + "metadata": {}, + "source": [ + "Another one: https://nbviewer.org/github/LSSTDESC/DC2-analysis/blob/rendered/tutorials/extragalactic_gcr_redshift_dist.nbconvert.ipynb" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "813052e8", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df.to_csv('/data/scratch/declan/combined_truth.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e6dd34fa", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df.to_csv('/data/scratch/declan/combined_truth.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6642259a", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b330d44", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "717ba01c", + "metadata": {}, + "source": [ + "Per Xinyue's work, the match files contain information on the psf and galaxy parameters that are unique to DC2. See discussion at the top of the page here: https://github.com/prob-ml/bliss/blob/dc2_script/case_studies/dc2/DC2_galaxy_psf_params.ipynb\n", + "\n", + "These PSF and Galaxy parameters may need to be incorporated into the forward model for BLISS if the goal is inference for DC2 images specifically. Maybe we won't worry about that so much for now, and we will focus on just extracting the relevant fluxes and redshifts. We can add in PSF and galaxy specifics later." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e80da032", + "metadata": {}, + "outputs": [], + "source": [ + "# This cell may take a long time to run, about 30-50 minutes for me\n", + "# We will extract relevant quanitites and save them for later\n", + "data = truth_cat.get_quantities([\n", + " \"id\", \"match_objectId\", \"cosmodc2_id\", \"ra\", \"dec\", \"truth_type\", \n", + " \"redshift\", \"flux_g\", \"flux_i\", \"flux_r\", \"flux_u\", \"flux_y\", \"flux_z\"\n", + "])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1c7bd593", + "metadata": {}, + "outputs": [], + "source": [ + "data['id'].shape" + ] + }, + { + "cell_type": "markdown", + "id": "7081fd52", + "metadata": {}, + "source": [ + "There are 764 million+ objects. We can get more meta-info by doing the below. See https://yymao.github.io/generic-catalog-reader/#GCR.BaseGenericCatalog.get_quantities for more documentation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ab5f55e2", + "metadata": {}, + "outputs": [], + "source": [ + "truth_cat.get_catalog_info()" + ] + }, + { + "cell_type": "markdown", + "id": "5690beb8", + "metadata": {}, + "source": [ + "We may want to filter down some of these. For example, to start, maybe we should only consider redshifts between 0 and 1 and aim to infer these to a reasonably high degree of accuracy. These probably just iterate through the data, so this cell also may take a long time. Following the example here: https://github.com/LSSTDESC/gcr-catalogs/blob/master/examples/GCRCatalogs%20Demo.ipynb" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e70ddb27", + "metadata": {}, + "outputs": [], + "source": [ + "from GCR import GCRQuery\n", + "\n", + "# Let's choose a small RA and Dec range to do the matching so that it won't take too long!\n", + "ra_min, ra_max = 55.5, 56.0\n", + "dec_min, dec_max = -29.0, -28.5\n", + "redshift_min, redshift_max = 0.0, 1.0\n", + "\n", + "coord_cut = GCRQuery(\n", + " 'ra >= {}'.format(ra_min),\n", + " 'ra < {}'.format(ra_max),\n", + " 'dec >= {}'.format(dec_min),\n", + " 'dec < {}'.format(dec_max),\n", + ")\n", + "\n", + "redshift_cut = GCRQuery(\n", + " 'redshift >= {}'.format(redshift_min),\n", + " 'redshift < {}'.format(redshift_max),\n", + ")\n", + "\n", + "magnitude_filters = GCRQuery(\n", + " (np.isfinite, 'flux_i'),\n", + " 'flux_i > 1e3',\n", + ")\n", + "\n", + "data_subset = (coord_cut & magnitude_filters & redshift_cut).filter(data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c48eec6c", + "metadata": {}, + "outputs": [], + "source": [ + "data_subset['id'].shape" + ] + }, + { + "cell_type": "markdown", + "id": "b051c2cf", + "metadata": {}, + "source": [ + "This is a very restrictive cut due to the ra and dec ranges specified, just for example. We will not need such cuts, but may add some cuts on flux or magnitude, for example." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12017b6e", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/other/DC2&SDSSEvaluation.ipynb b/case_studies/redshift_estimation/notebooks/other/DC2&SDSSEvaluation.ipynb new file mode 100644 index 000000000..f55e99f22 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/other/DC2&SDSSEvaluation.ipynb @@ -0,0 +1,1057 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "d3578c49", + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import numpy as np\n", + "import math\n", + "import os\n", + "import pytorch_lightning as pl\n", + "import torch\n", + "from hydra.utils import instantiate\n", + "import matplotlib.pyplot as plt\n", + "from case_studies.redshift_estimation.catalog import RedshiftFullCatalog, RedshiftTileCatalog\n", + "from bliss.encoder.plotting import plot_detections, my_plot_detections" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "33c107e3", + "metadata": {}, + "outputs": [], + "source": [ + "from os import environ\n", + "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", + "\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from bliss.main import predict\n", + "\n", + "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2827e204", + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=\"../\", version_base=None):\n", + " cfg = compose(\"redshift\", {\n", + " \"predict.weight_save_path=/data/scratch/declan/sdss_encoder_ckpt.ckpt\",\n", + " \"cached_simulator.cached_data_path=/data/scratch/declan/sdss_like_galaxies\"\n", + " })" + ] + }, + { + "cell_type": "markdown", + "id": "2144e508", + "metadata": {}, + "source": [ + "# Training Evaluation of DC2-Like and SDSS-Like Simulated Images of Galaxies" + ] + }, + { + "cell_type": "markdown", + "id": "099bf59b", + "metadata": {}, + "source": [ + "### Prior Catalog Construction: SDSS\n", + "\n", + "We use the spectrographic data release 17 to get redshifts. This is a large file containing unique IDs and redshifts for astronomical objects called `specObj-dr17.fits` that can be obtained from SDSS; we filter this to \"clean\" redshifts (i.e. those without warnings), and we remove duplicate measurments for the same object by filtering for the primary runs. Thereafter, we take the objects IDs and query SDSS for photometry values via the `astroquery.SDSS` module. After performing a join, we write the resulting dataframe of redshift and photometry values to a `.csv` file, and filter out photometry values that are missing or corrupt (for us, this is indicated by a value of -9999 for the band values).\n", + "\n", + "Following this procedure results in about 1.14 million objects with known photometry and redshift values. These objects are comprised of galaxies, stars, and quasars. For now, we focus only on galaxies, so we perform a further filtering to consider galaxies only, yielding about 0.86 million objects.\n", + "\n", + "Our SDSS-like prior of galaxies samples a vector of values `(redshift, u,g,r,i,z)` uniformly from these 0.86 million objects. As stated, for these validation experiments on semi-syntehtic data we only generate galaxies for now, so the `source_type` prior chooses galaxies with probability 1. The prior on galaxy parameters is unchanged. Together, all of these priors + GalSim define the SDSS-like generative model of images of galaxies." + ] + }, + { + "cell_type": "markdown", + "id": "b437af38", + "metadata": {}, + "source": [ + "### Semi-Synthetic Data: SDSS" + ] + }, + { + "cell_type": "markdown", + "id": "bb79bfa7", + "metadata": {}, + "source": [ + "Let's look at some images generated in this manner. We plot 10 example images, each in the $u,g,r,i,z$ bands. By default, BLISS chooses the SDSS survey with reference band $r$, and we make no modifications to this." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8b797d77", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Global seed set to 42\n" + ] + } + ], + "source": [ + "# This cell will take some time to run to load the dataset\n", + "pl.seed_everything(cfg.train.seed)\n", + "\n", + "# setup dataset and encoder\n", + "dataset = instantiate(cfg.train.data_source)\n", + "encoder = instantiate(cfg.train.encoder)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "0baa6a54", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Batch of images is of shape torch.Size([32, 5, 80, 80])\n" + ] + } + ], + "source": [ + "train_dataloader = dataset.train_dataloader() \n", + "batch = next(iter(train_dataloader))\n", + "print('Batch of images is of shape {}'.format(batch['images'].shape))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "b87a36f1", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "n_to_show = 10\n", + "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", + "axs = axs.flatten()\n", + "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", + "for img, ax in zip(imgs, axs):\n", + " ax.imshow(img)\n", + " \n", + "for a in axs:\n", + " a.set_xticklabels([])\n", + " a.set_yticklabels([])\n", + "\n", + "plt.subplots_adjust(wspace=0, hspace=0)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "0891768c", + "metadata": {}, + "source": [ + "### In-Sample Training Results: SDSS" + ] + }, + { + "cell_type": "markdown", + "id": "9aa03613", + "metadata": {}, + "source": [ + "We fit the encoder using the BLISS pipeline. Essentially, photo-$z$ estimation is performed via a module in parallel to the existing pipeline: the current pipeline estimates locations, types, and fluxes of each astronomical object. We simply add outputs to the encoder network that are used to parameterize the variational distributions on redshift.\n", + "\n", + "Currently, the variational distributions on redshift are univariate Gaussian; a mixture of Gaussians could be used in the future. As with other quantities, the per-tile NLL contribution for redshift is conditioned on the presence of a true source in that tile, etc. We leave other aspects of BLISS unchanged, so in addition we also estimate the number of sources, the type of each source, the fluxes and galaxy parameters of each source, etc.\n", + "\n", + "Let's load the fitted encoder and check that we are detecting sources properly. We overlay red \"x\"s on the posterior mode per-tile of the detected source, if a source is detected in that tile. We'll just overlay on top of the r-band image, as we don't have coaddition support for SDSS." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "8d127115", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PATH = \"/data/scratch/declan/sdss_encoder_ckpt.ckpt\"\n", + "checkpoint = torch.load(PATH)\n", + "encoder.load_state_dict(checkpoint['state_dict'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8f6bbefc", + "metadata": {}, + "outputs": [], + "source": [ + "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", + "est_cat = est_cat.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0d71c7cc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot r_band for a selected image, overlay detected source locations\n", + "image_to_show = 5\n", + "fig, ax = plt.subplots()\n", + "ax.imshow(batch['images'][image_to_show].sum(0)) # Coadd by simple summation" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "b029d759", + "metadata": {}, + "outputs": [], + "source": [ + "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", + "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", + "est_cat = encoder.sample(batch, use_mode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ef07e553", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAioAAAJlCAYAAAD0PtkKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD2bElEQVR4nOydeXxU1fn/P/fOPkkmk32BhEWURXFvMdXWjZafRatf0aqlihW1KKhI3XDFFasVRUVwK6gFUbRal9YNFauiIkrd2QQCZF8mk8w+c8/vj8BMJuc5mOhAJsPzfr3mBTlz5tyz3TvPnPN5nqMJIQQYhmEYhmHSEL2vK8AwDMMwDKOCDRWGYRiGYdIWNlQYhmEYhklb2FBhGIZhGCZtYUOFYRiGYZi0hQ0VhmEYhmHSFjZUGIZhGIZJW9hQYRiGYRgmbTH3dQVUCCEQjUYRi8X6uioMwzAM0ytMJhPMZjM0TevrqvR70tJQCYfDqK2thd/v7+uqMAzDMMyPwul0oqysDFarta+r0q/R0i2EvmEYWL9+PUwmE4qKimC1WtkiZRiGYfoNQgiEw2E0NjYiFoth3333ha6z0uLHknYrKuFwGIZhoKKiAk6ns6+rwzAMwzC9xuFwwGKxYMuWLQiHw7Db7X1dpX5L2pp4bH0yDMMw/Rn+HksN3IsMwzAMw6QtbKgwDMMwDJO2sKHSD1m0aBHcbndfV4NhGIZhdjtsqKSQY445BtOnT+/rajAMwzBMxpC5hko4DNTWJqfV1namMwzD7KX4fICmdb58vr6uTfoQiUT6ugqMgsw0VMJh4PTTgaOOAqqrO9Oqqzv/Pv303WKsnHvuuVixYgXmzp0LTdOgaRo2b94s5autrcX48ePhcDgwZMgQLFmyBIMHD8Z9990XzzNnzhyMHj0aWVlZqKiowMUXX4yOjo6U15lhGGZPcMwxx2DatGmYNm0acnNzUVhYiBtuuAGqMF7/+9//cOyxxyInJwculwuHHXYYPv300/j7zz//PPbff3/YbDYMHjwY99xzT9LnNU3Diy++mJTmdruxaNEiAMDmzZuhaRqeeeYZHH300bDb7Vi8eDEA4O9//3u87LKyMkybNi1ehsfjwfnnn4+ioiK4XC4cd9xx+N///peCHmJ2RWYaKs3NwFdfAd9/Dxx7LPDBB53/fv99Z3pzc8ovOXfuXFRVVeGCCy5AbW0tamtrUVFRIeU755xzUFNTg3fffRfPP/88HnnkETQ0NCTl0XUd999/P77++ms88cQTePvtt3HVVVelvM4Mw+w9+HyJ167SdhdPPPEEzGYzPvnkE8ydOxdz5szBY489RuadOHEiBg4ciFWrVmH16tW45pprYLFYAACrV6/G73//e5x55pn48ssvMWvWLNxwww1xI6Q3XHPNNbjsssvw7bffYty4cZg/fz6mTp2KCy+8EF9++SVeeuklDBs2LJ7/9NNPR0NDA/7zn/9g9erVOPTQQ3H88cejpaXlR/UJ00NEmhEIBMQ333wjAoHATytoyxYhhg4VAki8hg7tTN9NHH300eKyyy5Tvv/tt98KAGLVqlXxtPXr1wsA4t5771V+btmyZaKgoCD+98KFC0Vubm4KaswwzN5C10ch9dqdHH300WLkyJHCMIx42tVXXy1GjhxJ5s/JyRGLFi0i3/vDH/4gfv3rXyelXXnllWLUqFHxvwGIF154ISlPbm6uWLhwoRBCiE2bNgkA4r777kvKU15eLq677jryuv/973+Fy+USwWAwKX2fffYRDz/8MPmZlH2f7eVk5ooKAFRWAk8+mZz25JOd6X3E2rVrYTabceihh8bThg0bhry8vKR8b731Fo4//ngMGDAAOTk5OPvss9Hc3MxnHzEM02854ogjko5Dqaqqwvr168mDZ2fMmIHzzz8fY8eOxZ133omNGzfG3/v2229x5JFHJuU/8sgjlWXtisMPPzz+/4aGBtTU1OD4448n8/7vf/9DR0cHCgoKkJ2dHX9t2rQpqX5M6slcQ6W6GjjnnOS0c85JaFbSlM2bN+PEE0/EgQceiOeffx6rV6/GvHnzAHQeL8AwDPNj6OjofNXXJ9Lq6xPp6cSsWbPw9ddfY/z48Xj77bcxatQovPDCCz3+vKZpkv6FEstmZWXF/+9wOHZZZkdHB8rKyrBmzZqk19q1a3HllVf2uG5M78lMQ6W2NqFJGToUeP/9zn93ala6ewOlCKvVukuLfvjw4YhGo/j888/jaRs2bEBra2v879WrV8MwDNxzzz044ogjsN9++6Gmpma31JdhmL2HrKzEa1dpu4uPP/446e+PPvoI++67L0wmE5l/v/32w+WXX4433ngDp556KhYuXAgAGDlyJD744IOkvB988AH222+/eFlFRUWo7fKcX79+/Q+uSOfk5GDw4MFYvnw5+f6hhx6Kuro6mM1mDBs2LOlVWFi468YzP4nMNFQKCoADDug0Tt55BzjyyM5/hw7tTC8o2C2XHTx4MD7++GNs3rwZTU1NMAwDI0aMiP8SGDFiBMaOHYsLL7wQn3zyCT7//HNceOGFcDgc8SXRYcOGIRKJ4IEHHsD333+Pp556CgsWLNgt9WUYhtlTVFdXY8aMGVi7di2efvppPPDAA7jssssAADNnzsQ5O1bAA4EApk2bhnfffRdbtmzBBx98gFWrVmHkyJEAgL/85S9Yvnw5br31Vqxbtw5PPPEEHnzwQVxxxRXxax133HF48MEH8fnnn+PTTz/FlClT4mLcXTFr1izcc889uP/++7F+/Xp89tlneOCBBwAAY8eORVVVFU455RS88cYb2Lx5Mz788ENcd911SR5JzG6gr0Uy3UmZ+CgUEqKmJjmtpqYzfTexdu1accQRRwiHwyEAxAVbOwVcnVWoESeccIKw2Wxi0KBBYsmSJaK4uFgsWLAgnmfOnDmirKxMOBwOMW7cOPHkk08KAKK1tVUIwWJahmH6F0cffbS4+OKLxZQpU4TL5RJ5eXni2muvjYtrJ02aJI4++mghhBChUEiceeaZoqKiQlitVlFeXi6mTZuW9J3w3HPPiVGjRgmLxSIqKyvF3XffnXS97du3i9/85jciKytL7LvvvuLf//43Kab9/PPPpbouWLBADB8+XFgsFlFWViYuueSS+Hter1dccsklory8XFgsFlFRUSEmTpwoqquryXazmDY1aEIoHNn7iGAwiE2bNmHIkCF7xbHY27ZtQ0VFRVxAyzAMk2kcc8wxOPjgg5PiRe0N7G3fZ7sLc19XYG/j7bffRkdHB0aPHo3a2lpcddVVGDx4MH71q1/1ddUYhmEYJu1gQ2UPE4lEcO211+L7779HTk4OfvGLX2Dx4sU92j9lGIZhmL0N3vphGIZhmN0Af5+lhsz0+mEYhmEYJiNgQ4VhGIZhmLSFDRWGYRiGYdIWNlQYhmEYhklb2FBhGIZhGCZtYUOFYRiGYZi0hQ0VhmEYhmHSFjZUUsgxxxyD6dOn99nnGYZhGCbTyFhDxQgbCNWGktJCtSEYYaOParTnCIfDfV0FhmEYhkkJGWmoGGEDX5/+NT4/6nMEq4MAgGB1EJ8f9Tm+Pv3r3WKsnHvuuVixYgXmzp0LTdOgaRo2b94s5XvooYew7777wm63o6SkBKeddtouPx+LxTB58mQMGTIEDocDw4cPx9y5c6Vrn3LKKbj99ttRXl6O4cOHp7x9DMMwDNMXZORZP5HmCHxf+RD8Pog1x67ByCdH4ttzvkXw+2D8fVuZLaXXnDt3LtatW4cDDjgAt9xyCwCgqKgoKc+nn36KSy+9FE899RR+8YtfoKWlBf/97393+XnDMDBw4EAsW7YMBQUF+PDDD3HhhReirKwMv//97+NlL1++HC6XC2+++WZK28UwDMMwfUlGGiq2MhsOfudgrDl2DYLfd66kAIB9qB0Hv3Nwyo0UAMjNzYXVaoXT6URpaSmZp7q6GllZWTjxxBORk5ODQYMG4ZBDDtnl500mE26++eb430OGDMHKlSvx7LPPJhkqWVlZeOyxx2C1WlPeNoZhGIbpKzJy6wcA7JV2jHxyZFLayCdHwl7ZdwdD/frXv8agQYMwdOhQnH322Vi8eDH8fv8Pfm7evHk47LDDUFRUhOzsbDzyyCOorq5OyjN69Gg2UhiGYZiMI2MNlWB1EN+e821S2rfnfBvXrPQFOTk5+Oyzz/D000+jrKwMN954Iw466CB4PB7lZ5YuXYorrrgCkydPxhtvvIE1a9bgT3/6kySYzcrK2s21ZxiGYZg9T0YaKqHaUHzbxz7UjkPePwT2ofa4ZqW7N1CqsFqtiMViu8xjNpsxduxY3HXXXfjiiy+wefNmvP3228rPf/DBB/jFL36Biy++GIcccgiGDRuGjRs37pb6MwzDMEy6kZGGiqXAgqwDsuKalNwjc3HwOwfDPtSOrAOyYCmw7JbrDh48GB9//DE2b96MpqYmGIaBESNG4IUXXgAAvPLKK7j//vuxZs0abNmyBU8++SQMw4h76VCf33ffffHpp5/i9ddfx7p163DDDTdg1apVu6X+DMMwDJNuZKSholt17L9s/86VlB2aFHtl58rK/sv2h27dPc2+4oorYDKZMGrUKBQVFaG6uhpr165FW1sbAMDtduOf//wnjjvuOIwcORILFizA008/jf3331/5+T//+c849dRTccYZZ2DMmDFobm7GxRdfvFvqzzAMwzDphiaEEH1dia4Eg0Fs2rQJQ4YMgd3ed8JXhmEYhvkp8PdZasjIFRWGYRiGYTIDNlQYhmEYhklb2FBhGIZhGCZtYUOFYRiGYZi0JW0NlTTT+DIMwzBMr+DvsdSQdoaKxdIZ46QnoeUZhmEYJl3Z+T2283uN+XGk3aGEJpMJbrcbDQ0NAACn0wlN0/q4VgzDMAzTM4QQ8Pv9aGhogNvthslk6usq9WvSLo4K0DnIdXV1uzwDh2EYhmHSGbfbjdLSUv6x/RNJS0NlJ7FYDJFIpK+rwTAMwzC9wmKx8EpKikhrQ4VhGIZhmL2btBPTMgzDMAzD7IQNFYZhGIZh0hY2VBiGYRiGSVvYUGEYhmEYJm1hQ4VhGIZhmLSFDRWGYRiGYdIWNlQYhmEYhklb2FBhGIZhGCZtYUOFYRiGYZi0hQ0VhmEYhmHSFjZUGIZhGIZJW9hQYRiGYRgmbWFDhWEYhmGYtIUNFYZhGIZh0hY2VBiGYRiGSVvYUGEYhmEYJm1hQ4VhGIZhmLSFDRWGYRiGYdIWNlQYhmEYhklb2FBhGIZhGCZtYUOFYRiGYZi0hQ0VhmEYhmHSFjZUGIZhGIZJW9hQYRiGYRgmbWFDhWEYhmGYtIUNFYZhGIZh0hY2VBiGYRiGSVvYUGEYhmEYJm1hQ4VhGIZhmLSFDRWGYRiGYdIWNlQYhmEYhklb2FBhGIZhGCZtYUOFYRiGYZi0hQ0VhmEYhmHSFjZUGIZhGIZJW9hQYRiGYRgmbWFDhWEYhmGYtIUNFYZhGIZh0hY2VBiGYRiGSVvYUGEYhmEYJm1hQ4VhGIZhmLSFDRWGYRiGYdIWNlQYhmEYhklb2FBhGIZhGCZtYUOFYRiGYZi0hQ0VhmEYhmHSFjZUGIZhGIZJW9hQYRiGYRgmbWFDhWEYhmGYtIUNFYZhGIZh0hY2VBiGYRiGSVvYUGEYhmEYJm1hQ4VhGIZhmLSFDRWGYRiGYdIWNlQYhmEYhklb2FBhGIZhGCZtYUOFYRiGYZi0hQ0VhmEYhmHSFjZUGIZhGIZJW9hQYRiGYRgmbWFDhWEYhmGYtCXtDJV58+Zh8ODBsNvtGDNmDD755JO+rlKvee+993DSSSehvLwcmqbhxRdfTHpfCIEbb7wRZWVlcDgcGDt2LNavX983le0Fs2fPxs9+9jPk5OSguLgYp5xyCtauXZuUJxgMYurUqSgoKEB2djYmTJiA+vr6Pqpxz5g/fz4OPPBAuFwuuFwuVFVV4T//+U/8/f7YJoo777wTmqZh+vTp8bT+2rZZs2ZB07Sk14gRI+Lv99d2AcD27dvxxz/+EQUFBXA4HBg9ejQ+/fTT+Pv99fkxePBgacw0TcPUqVMB9N8xi8ViuOGGGzBkyBA4HA7ss88+uPXWWyGEiOfpr2OWNog0YunSpcJqtYq///3v4uuvvxYXXHCBcLvdor6+vq+r1iv+/e9/i+uuu07885//FADECy+8kPT+nXfeKXJzc8WLL74o/ve//4nf/e53YsiQISIQCPRNhXvIuHHjxMKFC8VXX30l1qxZI37729+KyspK0dHREc8zZcoUUVFRIZYvXy4+/fRTccQRR4hf/OIXfVjrH+all14Sr776qli3bp1Yu3atuPbaa4XFYhFfffWVEKJ/tqk7n3zyiRg8eLA48MADxWWXXRZP769tu+mmm8T+++8vamtr46/Gxsb4+/21XS0tLWLQoEHi3HPPFR9//LH4/vvvxeuvvy42bNgQz9Nfnx8NDQ1J4/Xmm28KAOKdd94RQvTfMbv99ttFQUGBeOWVV8SmTZvEsmXLRHZ2tpg7d248T38ds3QhrQyVn//852Lq1Knxv2OxmCgvLxezZ8/uw1r9NLobKoZhiNLSUnH33XfH0zwej7DZbOLpp5/ugxr+eBoaGgQAsWLFCiFEZzssFotYtmxZPM+3334rAIiVK1f2VTV/FHl5eeKxxx7LiDa1t7eLfffdV7z55pvi6KOPjhsq/bltN910kzjooIPI9/pzu66++mpx1FFHKd/PpOfHZZddJvbZZx9hGEa/HrPx48eL8847Lynt1FNPFRMnThRCZNaY9RVps/UTDoexevVqjB07Np6m6zrGjh2LlStX9mHNUsumTZtQV1eX1M7c3FyMGTOm37Wzra0NAJCfnw8AWL16NSKRSFLbRowYgcrKyn7TtlgshqVLl8Ln86Gqqioj2jR16lSMHz8+qQ1A/x+v9evXo7y8HEOHDsXEiRNRXV0NoH+366WXXsLhhx+O008/HcXFxTjkkEPw6KOPxt/PlOdHOBzGP/7xD5x33nnQNK1fj9kvfvELLF++HOvWrQMA/O9//8P777+PE044AUDmjFlfYu7rCuykqakJsVgMJSUlSeklJSX47rvv+qhWqaeurg4AyHbufK8/YBgGpk+fjiOPPBIHHHAAgM62Wa1WuN3upLz9oW1ffvklqqqqEAwGkZ2djRdeeAGjRo3CmjVr+m2bAGDp0qX47LPPsGrVKum9/jxeY8aMwaJFizB8+HDU1tbi5ptvxi9/+Ut89dVX/bpd33//PebPn48ZM2bg2muvxapVq3DppZfCarVi0qRJGfP8ePHFF+HxeHDuuecC6N9z8ZprroHX68WIESNgMpkQi8Vw++23Y+LEiQAy55nfl6SNocL0L6ZOnYqvvvoK77//fl9XJSUMHz4ca9asQVtbG5577jlMmjQJK1as6Otq/SS2bt2Kyy67DG+++SbsdntfVyel7Py1CgAHHnggxowZg0GDBuHZZ5+Fw+How5r9NAzDwOGHH4477rgDAHDIIYfgq6++woIFCzBp0qQ+rl3qePzxx3HCCSegvLy8r6vyk3n22WexePFiLFmyBPvvvz/WrFmD6dOno7y8PKPGrC9Jm62fwsJCmEwmSeVdX1+P0tLSPqpV6tnZlv7czmnTpuGVV17BO++8g4EDB8bTS0tLEQ6H4fF4kvL3h7ZZrVYMGzYMhx12GGbPno2DDjoIc+fO7ddtWr16NRoaGnDooYfCbDbDbDZjxYoVuP/++2E2m1FSUtJv29Ydt9uN/fbbDxs2bOjXY1ZWVoZRo0YlpY0cOTK+rZUJz48tW7bgrbfewvnnnx9P689jduWVV+Kaa67BmWeeidGjR+Pss8/G5ZdfjtmzZwPIjDHra9LGULFarTjssMOwfPnyeJphGFi+fDmqqqr6sGapZciQISgtLU1qp9frxccff5z27RRCYNq0aXjhhRfw9ttvY8iQIUnvH3bYYbBYLEltW7t2Laqrq9O+bd0xDAOhUKhft+n444/Hl19+iTVr1sRfhx9+OCZOnBj/f39tW3c6OjqwceNGlJWV9esxO/LIIyWX/3Xr1mHQoEEA+vfzYycLFy5EcXExxo8fH0/rz2Pm9/uh68lfpSaTCYZhAMiMMetz+lrN25WlS5cKm80mFi1aJL755htx4YUXCrfbLerq6vq6ar2ivb1dfP755+Lzzz8XAMScOXPE559/LrZs2SKE6HRVc7vd4l//+pf44osvxMknn9wvXNUuuugikZubK959990kN0O/3x/PM2XKFFFZWSnefvtt8emnn4qqqipRVVXVh7X+Ya655hqxYsUKsWnTJvHFF1+Ia665RmiaJt544w0hRP9sk4quXj9C9N+2/eUvfxHvvvuu2LRpk/jggw/E2LFjRWFhoWhoaBBC9N92ffLJJ8JsNovbb79drF+/XixevFg4nU7xj3/8I56nvz4/hOj05KysrBRXX3219F5/HbNJkyaJAQMGxN2T//nPf4rCwkJx1VVXxfP05zFLB9LKUBFCiAceeEBUVlYKq9Uqfv7zn4uPPvqor6vUa9555x0BQHpNmjRJCNHprnbDDTeIkpISYbPZxPHHHy/Wrl3bt5XuAVSbAIiFCxfG8wQCAXHxxReLvLw84XQ6xf/93/+J2travqt0DzjvvPPEoEGDhNVqFUVFReL444+PGylC9M82qehuqPTXtp1xxhmirKxMWK1WMWDAAHHGGWckxRrpr+0SQoiXX35ZHHDAAcJms4kRI0aIRx55JOn9/vr8EEKI119/XQAg69tfx8zr9YrLLrtMVFZWCrvdLoYOHSquu+46EQqF4nn685ilA5oQXcLnMQzDMAzDpBFpo1FhGIZhGIbpDhsqDMMwDMOkLWyoMAzDMAyTtrChwjAMwzBM2sKGCsMwDMMwaQsbKgzDMAzDpC1sqDAMwzAMk7aknaESCoUwa9YshEKhvq5KysnUtmVqu4DMbVumtgvI3LZlaruAzG1bprZrT7PbAr7NmzcPd999N+rq6nDQQQfhgQcewM9//vMf/JzX60Vubi7a2trgcrl2R9X6jExtW6a2C8jctmVqu4DMbVumtgvI3LZlarv2NLtlReWZZ57BjBkzcNNNN+Gzzz7DQQcdhHHjxqGhoWF3XI5hGIZhmAxltxgqc+bMwQUXXIA//elPGDVqFBYsWACn04m///3vu+NyDMMwDMNkKOZUFxgOh7F69WrMnDkznqbrOsaOHYuVK1dK+UOhUNL+ncfjAQC0tbWlump9jtfrTfo3U8jUdgGZ27ZMbReQuW3L1HYBmdu2nd9jhmEkpQeDQYTD4ZRfz2q1wm63p7zcviblhkpTUxNisRhKSkqS0ktKSvDdd99J+WfPno2bb75ZSq+srEx11dKGioqKvq7CbiFT2wVkbtsytV1A5rYtU9sFZG7bWlpa4Ha7AXQaKUMGZaOuIZby65SWlmLTpk0ZZ6yk3FDpLTNnzsSMGTPif7e1taGyshJH502EWbcmMmqKXaowoabuNkhWhwVLv7gTAHDWz25COJiwZI3m1h7XVbPQ3aXZHVKaIKxlzUFPHhEIEom0xlkQ6nG9qIDO2+HvUb0AQM/JlvNG6RtJ0+WxUOUlP28l+jFmyGkABJEuQkR/AdBzZbGaCNLt1UzEfCLSRJBW62tOYsytFjIv2trlvIEAmVXPyZHzRqN0uQbRN4rx1axWOS3LKRfZpvhFS1yLKhMAYCLG11DMD90kp0UVvzSpcnuB0eGTL29TtMFCjGVMMQ5UvRT3r5aTJWdV9Tn1zNM0Oi+FWa6X8Ml9AAAg7mndKc8PQDEfifmhKtfwdsjZiH4BQLYBQfr+17KJMlTPlUgk/n+r04qlX98NADjroJkIByJJeY12+f6l7lNAvv+iIowVnqdRUJB4RofDYdQ1xLBp9SC4clKnvvC2Gxhy2BaEw2E2VH6IwsJCmEwm1NfXJ6XX19ejtLRUym+z2WCz2eSK6daeGSoa8UDQkx8+Ft0aV1xbTDYYeuJmNzTFg4q6lKYwVHS5DEE9Y3S5nZ15iZvJUBgqRHt1ZbnyA0UonnNUGdTnAYWhovfCUNGJLwFBf14I4stYox8+dBtUdSDeIL40ha74wqGuZVIYKrps7AiNbq9OziVFI8i+obNqxDyn2qC8H4g+p8oEAOjUfdILQ0X1XUyW23MMTTaAdGUbiLE0FONA1UtlqFDzRtnn1BzthaFC1EtoESIjfS1qLgKK+UjMxR2FSEmGJvet6lpk3yruf/L5qnqudOnHpO8HPfn7obO+ct2UfaO8/+Q3XDl6Sg2VTCblvWS1WnHYYYdh+fLl8TTDMLB8+XJUVVWl+nIMwzAM0++ICSPlr0xlt2z9zJgxA5MmTcLhhx+On//857jvvvvg8/nwpz/9aXdcjmEYhmGYDGW3GCpnnHEGGhsbceONN6Kurg4HH3wwXnvtNUlguys0hz1pKS/W0Ejm04kgOt2X9ZP+DoU7XztQ7f/rgwbK5Sp0GIJajqX2bJX71rI+RJk3SmgjfLTeQSP2dzWH/HkAEMT+veYi6gWFboPQIGiqPW7i85qd3r7SbETfRlQaBnmBUHMq9mrD8hK4INI0xV6vsMnL11pAEX2SKENVLgidi0bUC6B1Lnqem85L9IOxvU7+PDUXAQhCF0BpXIDk/f/ExcisZLm6qlzinqCW1IVi3lLLx0a7rJcAAJ26pxXbz9R9RrULAEDN/SyFPoPSoxDPK9UzjNre1BTzg7yWQnditHqkNFN+HpmXmqOmkiI5o0qHRfWtYnzRLj/DRC6tJUl6VjgS95z/4AoEQ8nzt32gXIe2/ejn8353rk9OUG0XAjAgYCB18VZTWVa6sdvEtNOmTcO0adN2V/EMwzAMw+wF9LnXD8MwDMPsbRgwVAuNP7q8TIUNFYZhGIbZw8SEQCyFR+2lsqx0g32jGIZhGIZJW3hFhWEYhmH2MCym7Tlpa6iIcCTJm4ZS9wMA8oijs7t753RRdYscJ4Q58TcRbqoTypNGEXlUCxFK/PxcOU0RJVELEV4sqvYS6VoW7clD5Y3VyJ4eAGAql4PxGU0tZF7dRSjpCa8dVVRXMjqmIpAVGf1UEQyPvBYRBROgPZo0YulUGcmT8upQeFRR0V51KoomAPjluWR46HOvNCoSL+VxA0ALEzNdFVmWgBxLKmoo6EjLqii2GnVPKcqFnSiDuE8F4c2kwqTygiEi1qrmM4goxfDTnniCuNd75V1HeceoxoHyUlREgNWo552ZfjqaigmvHSrSMxTefFS9VFG7iTpoEYWHEOUB5qDnne5JPBe0LvFH7DUd0ILJ91DMJt9nFj/9vOo+vkKk/jyfvZG0NVQYhmEYJlMxIBDjFZUewYYKwzAMw+xheOun57CYlmEYhmGYtIVXVBiGYRhmD8PuyT2n3xgqqnDdsBBNkEIpdxGxCpEcnl4Rul0QIj+VMKu7+KozkRBbKQRnoMS0KnEZJcYzKcKxE6I1UggHAJQAUhU+ngrpHiJCg1sU4mMq3LbqJiPEg+SRA6BFnIKoF0AfRUDOBVV4cqpvYooTkQnRa3TbdjKvqaRY/nypnAaADMeuCt1O9i5VX8W806gQ+gpBMBVS3vC203kJIaqqDZR8kTxGwC0L2QGQ4lBBPT8AaCHiiAXimAmAFgoLxVzQiOupRLqUEFW0En1TQIev1wghuWiVhd0AIIgjMKAQrWqEmJ669wDQ908eMT5E+Hug8ygVCep5CQAmeXz1Nrpc0UUsnXQchiGAWPLd4qiX22a3KMTD3UTYioOemV7SbwwVhmEYhskUDCiPwPrR5WUqe4VG5X+NJ8b//0XNuD6sCcMwDMMAsR1eP6l8ZSp7haHCMAzDMEz/JG23fqwOCyx6l/2+mMKmcsg6CG2HlmTnSkrEum/8vYg2DGtbO9MPLH8dWpQOaiSsxF6yXaG5oDbPKT2KQoehBQnti0IPIwxCs6HICyrAnCqQnJkIlqQ45l1RMflSZrq/qL1kpUaFqgNxfD0AiKicLmKKgE9Un1H6AUMRQI0ICKbSqFDtNTtpbRRVL+X4akSAOl0xZlTANWIDXXUtEfpp9TKiCn2Xs+dB56g+F0Yv6kVqVOj7XyMCEBqKulJjpsqrUUHrTAqdDJGXGgfqGQgAWoTqL8X8IDUqCh0G0V5BPD8A0M9tqr6q+UGNpernNfVcUWiQuj7fbV2e6zbiGW8QaUKhUTF3G3fdANBMZkVMlsP8JFJZVrqhCZFeUmGv14vc3Fy0tbXB5SKizjIMwzBMP4D6PtuZ9sU3xcjJSd2mRnu7gQNHNWTkd2farqgwDMMwTKbCYtqek7aGypkjr0ja+tGctHtyYFSZlGZr8gMAvvz+WABAxBiKbbWdZ9kMLK+D2bQJADB63xXK62tB4vweO91dBrV8TCxUmdoUbpdEXs3rJ/OKgJyu5RBn7wCkyzGcClfmMNHeIH1eCXTlCUnJ9VKdJUNskRiKM3V0qm292GJRLv2S5w0RWwOE+ysA6LmEi6XCldlobpU/X1RA1ytEjJlia4BC2efUkj+RpnKrJdtGbPcBgGYnXI4jCpdS4twmyv0VoMdMyyJcpBVutUaLPA6qkAF6nuzya7TRZy5Rc8Footf7qXO5NJsiDABxbhM5vortXPL+pUILANAol25F34gO4hmkmnfUvKG28Pz0844KRWBsrSHz6qrQC2TBiT6zOSx4Zs3tAIDTj56NULdwExr1vMqmx8y0rSnp74ihOB+K6RVpa6iEA2EYXe4/TaOrGqTiHeyYaPuWvwEAWF/zGwCdhorZtAn7VrzV+VmF6z8A6IShogpRbFBaEML4MAcUDwnKUAnQD3bhJ+KomBVfAlQZmsLIIB5gQlGHHhsqiu880lAh2gUAOtW23hgqUfrLlOpH6vNkPgC6lUhXGCoxv/ywMqnGN0ikm3v+W0nZ5z01VKgD44DeGSqC6MdwLwwVSy/mvk7oHVSGCjEO5JwBoNvlaynnKDEXyGsB0Ij7TzMUBgFxT5LjqzJUqDmmMlRsPbsfAMU4qOYdNW+ox6WibzWzXF/qfgLU9xRdMN1noWAEocAPGyoxxYGN5m51iCo0bgBgQEOMjA704zBSWFa6kbaGCsMwDMNkKobo1UHwPSovU9kr3JNHD30n8f9dbPcwDMMwDJNepO2KigiFIAg3x+607isv/VrKkxXP9i6uaOFcG8L2hH0Ws9PLZdRSZshF23WGRS7D0SQXIMz056018t63aqmcCt0uFOHJyS0an0L74idCkSt0FGQIa8r1kwjhDQAaEUJbJ8KuA3TYci1XocmhQsortmN6il6YT7+h2iIhMJWXSGlCMQ5kaH7iOAcAEK0eogCV+znlek2swav6i9AraNmKcSDqoKm2EQgdhjJEOrU9SS3Bt3joalF6J8otF/S80/PddF5i3ull8ph3liuPO3kkBWg9i2iX7ymjUtbpAYDuJ+aS6hgPP3H8hIN2odeo8VHNG0qP0kaE8Vfc/9Q2r2kA3V7yKALFMoOW00Xb1OX7QW9ug959C4kIh2Am+quzEmLXf3chluKtn1SWlW7sFSsqDMMwDMP0T9hQYRiGYZg9zM4VlVS+esv27dvxxz/+EQUFBXA4HBg9ejQ+/fTT+PtCCNx4440oKyuDw+HA2LFjsX79+qQyWlpaMHHiRLhcLrjdbkyePBkdHckrf1988QV++ctfwm63o6KiAnfddVev6smGCsMwDMPsYQyhpfzVG1pbW3HkkUfCYrHgP//5D7755hvcc889yOvimn/XXXfh/vvvx4IFC/Dxxx8jKysL48aNQ7CLy+zEiRPx9ddf480338Qrr7yC9957DxdeeGH8fa/Xi9/85jcYNGgQVq9ejbvvvhuzZs3CI4880uO6pq1GhWEYhmGY3cNf//pXVFRUYOHChfG0IUOGxP8vhMB9992H66+/HieffDIA4Mknn0RJSQlefPFFnHnmmfj222/x2muvYdWqVTj88MMBAA888AB++9vf4m9/+xvKy8uxePFihMNh/P3vf4fVasX++++PNWvWYM6cOUkGza7gFRWGYRiG2cPsrq0fr9eb9AqF6LgzL730Eg4//HCcfvrpKC4uxiGHHIJHH300/v6mTZtQV1eHsWPHxtNyc3MxZswYrFy5EgCwcuVKuN3uuJECAGPHjoWu6/j444/jeX71q1/B2iUo4Lhx47B27Vq0thJBGAnSd0XFMJIPTVMEl/IeLquvtZZkpbnDnFBetw43J8VBM/tpVTblDeQbQOe1tch5wy65awu+pj0MDJes7jepPB+I4HKqqL2kCl6hztcIbwCVZwr5eULdrznldgGAaGqRE4lD4ABAy5cjhCrrpQoER+EmzsJoJbyvFIGdNMKzRbQrvK+I+mpZ9JiRByOqvLrKiuW8DYoT0CjvGsorTHGfIUx4sVGRj1UoHpakl5PCA8QgytBq6uU0hyL6MjX3FR5VmoU6OK/nwfAEEY0YADSVFxkF4YlH1UuLKDyXiMP0NFUARMLDSOl9RR3IqQiyRwWN0xzEtRRjJqjI0qrDXQkPH2FTeMx18eTpeo+LbAdEt0jQGhGEUajmTXcPIWPPe+JUVFQk/X3TTTdh1qxZUr7vv/8e8+fPx4wZM3Dttddi1apVuPTSS2G1WjFp0iTU1dUBAEpKkj3YSkpK4u/V1dWhuDj5OWQ2m5Gfn5+Up+tKTdcy6+rqkraaVKSvocIwDMMwGUoMOmIp3NTYaa5u3bo16VBCm412MzcMA4cffjjuuOMOAMAhhxyCr776CgsWLMCkSZNSVq9UwFs/DMMwDJMhuFyupJfKUCkrK8OoUaOS0kaOHInq6moAQGlp57Ez9fXJq5b19fXx90pLS9HQ0JD0fjQaRUtLS1Ieqoyu1/gh2FBhGIZhmD2MSLHHj+il18+RRx6JtWvXJqWtW7cOgwYNAtAprC0tLcXy5cvj73u9Xnz88ceoqqoCAFRVVcHj8WD16tXxPG+//TYMw8CYMWPied577z1Eumw/v/nmmxg+fHiPtn0ANlQYhmEYZo/T13FULr/8cnz00Ue44447sGHDBixZsgSPPPIIpk6dCqBThzd9+nTcdttteOmll/Dll1/inHPOQXl5OU455RQAnSsw/+///T9ccMEF+OSTT/DBBx9g2rRpOPPMM1FeXg4A+MMf/gCr1YrJkyfj66+/xjPPPIO5c+dixowZPa5r2mpU9Pw86HpiySq6nT7ae2CpLFqrtSSHaNdNCeFTJDtZVxhSaNtCxbI4TM+mQ10HK2QRl14tC8bsLbQAy93Wi6PAKSGZSvBJCWQVIcNJUaPqVFYq9DoVBlwhOKMEo8prEUJSUowH7DJctZSVqhsh4tTa5VDqACC6huDemdctHw0AKAS5KvEhJYBWQZShZcv1AujjDDQXIeiNEEJJgBYqE6HFgc7jL6RrUfOrl5iKi+RrEaHuVWiubPnzqiMlqPmsCvNOzd2SQjovVa5KpKsSBXe/PHU/AggXyu3VYgohKiGyNXsUwtte1IG8f6k5SgiHAVqQLxTCe+q5QglsAQCRhEBW+4Gf6yKbeN40eei83ea+EL040XkP87Of/QwvvPACZs6ciVtuuQVDhgzBfffdh4kTJ8bzXHXVVfD5fLjwwgvh8Xhw1FFH4bXXXoO9y/28ePFiTJs2Dccffzx0XceECRNw//33x9/Pzc3FG2+8galTp+Kwww5DYWEhbrzxxh67JgNpbKgwDMMwTKYSEzpiIoVi2h9xevKJJ56IE088Ufm+pmm45ZZbcMsttyjz5OfnY8mSJbu8zoEHHoj//ve/va/gDnjrh2EYhmGYtIVXVBiGYRhmD2NAg5HCtQKD3JTLDNhQYRiGYZg9zI89SHBX5WUqvPXzEzCCFmyeeC02nXUdjKBCOMowDMMwzI8mbVdUhN8PoSW8GsyDK8l82xvcUppuUi+BhfINhLoo3IUib06prFYvd3kT9YnE4GwwUL3j72GljSj2t8LrsiNqMeHbtoHS56N22jsnVCCr+53NirDpNrkMpQqe8oLJU3imtMleIcpw+7k58uepsNpUqHwowpOrPCoIzyUolPyCChNPeOcAgEGE1tapENyK5VQyrLaDDqykEV4dZH9BEZq/uGexBgBAa+v5mJHeJirPKcIDRTXvRKtHvr6LuD6AGBFqXie8cwBAs8p9JsLyOGh2ehyUIeF7iup+IMZSNCnOMKGOlVB5vFHecdQRC+ae/970DVD0DYE9i74nzQF53pg66Lw61efUvKOeCUDnUSrdUXj9UTM3lkO319SW8DISjsS1tUgMWjdvOiNLnvuam57PoibZi0wI9bEeqRfT8tYP0xWvCX+54y0UbQ7i+R1JeVvDuOXGV1E9OB9zbj22T6vHMAzDMJkCGyo/gjdPvgdv4p6ktOcunIvnMBeoA87ynt9HNWMYhmH6A51i2tTpSlJZVrrBhspuoKUgC2js61owDMMw6YqR4kMJ2euHSeK4f18FANjn8xY8et1jAIB6FOPWv/0G3+5f1pdVYxiGYZiMIm0NFc2VA61LCH0RCJL5rBtlYZXWTb9k6SJAMwU0mCKJJTJTmLZo222yoM9j3SHW1ICShjZcMfc/eHTHe1nw4ep7XsXFfz0L9cUumL2y6NWkiI6uRwgRpyIsPhl+vtlD5yXEf1qMDnWNbCKcuiq0NyX+83jlbAoBpSAElKqQ41qA6DRFaH5q4VOY6H40NbXJiZQIkxLoAhA5RH8p+lYQwl1hpW+9mFsu19ROz31VCPseQ4lhVQebESHONVWI9xwiVL1C6GcqocLiE8JugBx3vVA+A4M6LgAABCXsLHDT1yLmjeajw7yLANE3KkEv0QZhp4XV1LwxrHK9giW0uLR9gJy3YzBdLY3QCedsoetl9cpjaW+m7zOrhXgONhL3nuo4Bko8bKLnqN4h3ycil56jkYKEyN5k73LEyoA8hIPJ97zJJz8DVJssere5rxthQHHKA4tpe06ve+m9997DSSedhPLycmiahhdffDHpfSEEbrzxRpSVlcHhcGDs2LFYv359quqbFhS0dGD+1U9jQIMnnra9xI2BtR48dPXTKGhWPGgZhmEYhukVvTZUfD4fDjroIMybN498/6677sL999+PBQsW4OOPP0ZWVhbGjRuHYFDxq7Af0pbjwMbBhWgtteLEJy7Gz1+7BlfcfTK2lbnx/aBCtLkUh+YxDMMwDDo1Kql+ZSq93vo54YQTcMIJJ5DvCSFw33334frrr8fJJ58MAHjyySdRUlKCF198EWeeeeZPq22aELWYMPPa/0NuewDN+dnQIFBf7MKFf5uINpcDUWK5k2EYhmGY3pNSE2zTpk2oq6vD2LFj42m5ubkYM2YMVq5cSX4mFArB6/UmvfoDUYsJzfnJ+5HNBdlspDAMwzA/SExoKX9lKikV09bV1QEASkpKktJLSkri73Vn9uzZuPnmm6V04QtA6F3EnApRpGsjISDqNl52ayJPVo0GPZzIEFNo3vSwLGSrN7vpvFZZdGr3yJPG4qfFqWa/LNaK5dERVUlhpUIQSIr/FFEwqaidIkwLSclrUWJchQBaI8SWKuEuFe1VU9WLEJNpfroOZBRZsm8UglFKOBtTtMFORLYM01FOTVR6hM5LCauNXHre6I0eOZGKqOqiP6+1Ej8gqKihADQqyjAlAgcgOmSloZZDi7CpORIrlaP2mnoxP5TzjhCHw6aIPJxN9JnqPiMLUOSl+leX+9FfRD8b24bL7TVc9FzSbXI/tAt67udukOtr9ivK9cvPFWqO6l6/lKZCC9HXCg4ukK9lpX+LRx1d0ruIlsO5VoTtye2zURpVxU98U7tCOUsQS7F7ciyD3ZP7fFNr5syZaGtri7+2bt3a11ViGIZhGCZNSOmKSmlpKQCgvr4eZWWJeCL19fU4+OCDyc/YbDbYFL9UGIZhGCYTMYQOI4XuyQa7J/eMIUOGoLS0FMuXL4+neb1efPzxx6iqqkrlpRiGYRiG2Qvo9YpKR0cHNmzYEP9706ZNWLNmDfLz81FZWYnp06fjtttuw7777oshQ4bghhtuQHl5OU455ZRU1pthGIZh+i2sUek5vTZUPv30Uxx7bOJ04BkzZgAAJk2ahEWLFuGqq66Cz+fDhRdeCI/Hg6OOOgqvvfYa7ISgkGEYhtnzWKJRuJoj+HzmLABA5eN3oyTQDE+OExFKDM2kHANIqaeOIuZ4RtDrGXnMMccow2EDgKZpuOWWW3DLLbf8pIppNmtyCP12Otpr/pdyOOZAWbKq3G5LTIbcjRHYQgmvgJiDtmhbhstdk/M1HVJaJyJz29rkPjIHFF4SIVlxr/sUHjOEJw/pwQIAlPeDWTF2lFcGEYIfAJBDeDmEqGspppeJ6HOFBwk0IoS2Ijy5RnnHKMoVdiIMf2/udDPRBsV9ERggezlZW4lJA0AQ5ZoIzwkVplaF1wFRN5FFBCZUeMwIyqtLgUZ5sajC/RPeU8Kv8AAhvKpMrYTnkk/xeSJ8vSboe1pzyH2jqhd5VEQvPLVUfR7Nz5XSYk7586E8+stOK5afIT8bVA1zJIa/XP8mCjaEsA9mAQBGRGrx+G0LsWFQEa6eeSqiFhNaFc+VUL48luFcuh8pjyZTm1yvSLnsvQUA5sZ2Kc3Ion/0hvLlvona6L4JuRNtiHXxDPIX6giGk72ogvnyXHBtUoTx73bUhBA9v3cZNWw6MwzD7EXY6gUKNoSQXZcw/P56w8vIawyj3PDB3R5AUz4RQoBJKamOJpvJkWkzt2UMwzCMxJNnPIZ96mpRgoZ42iGN65ENH4Y3bGcjhUk7eEWFYRiGYfYwqT89OXPXHTK3ZQzDMIzEyW9divMWn4cvS/aJp9WjGGuLB+A3C2b0Yc32LgxoKX9lKum7oqLrSQI8LddF5yNEnPamZLGW3Z7YizUHYjAHu4jyFOGr3Rtk4V4ol7brrB2yUNHSIX/e6qGFVRol+FSFHKdCnLfIgmIAtIBRp9tLhqpXhfYOEu2gBLIa3V+UiFMV6p4Kly/MdMhwYSeElVZFPxJnMhkWub6CahcAU1AWSyoF/ER6RCE+NPvkcqM5CvEwIZDVO0J0HfLk+4fqc2XfEgJGbXsjfS1CbC0U807LkkW6KnG4Rs074ugHSjQLAMiTxanCI4s1AQARuVzNLX9ehXDSgk9K8K0Sh1sa5LpF9smX0qwehYh7m1yHVeHBKPZ4Mff2xShsTIx/c5ENIxu24ZEbn8BpN1yIRrcLJoMeM3szIcw203mjDuo+k8dci9FtEA75PgkV06fTR+1yHQKF9P0bKE5cz7Ak/u8bqCEQ6RZC3yN/Puym55i1IFkUrBkhoH8cX5fW8IoKwzDMXkRrthNrB5agujBh9Jz7l0nYUpyPdQNL4OmFhxfz49m59ZPKV6aSvisqDMMwTMqJmM24eOofkNfhR6X7TgBAvSkLp91wITzZHEeFST94RjLMHsRsRJEb9qPFktiKyQ964bU6ESVOxmWY3UHEbEaDO3k7sNGt2F5ndgupj0zLKyoMw/xEzEYUt6xejBKvF/sFOk8JP+WXN+LBT+djU04pbjpkYh/XkGEYJv1gQ4Vh9hC5YT+GtNfBHUiIGO9atRADgi0AAFfYDy9YH8AwewOG0GCkMoR+CstKN9LWUIluqwG0hLLa5FIsS+bID3a9W8jxrt4Rpo4wTMGEJ4lGhPAGAAhZ1R1ThGOmQuObgnKaHpY9gQBAr2+Rr1VWSOY1NbTKiVZF+GrKmyhK14FE4fUjgoSHTr5b/rjiWtQxAKprUelGLv1l3n3cAcCw0l4sepAK+S97X8Rs9HJqxCV7VIRcCo+ZHcnVkSKcP/ZSzH7raWBHNPbcYAjrnQMx46jJaHZlk95iKo8Ia6vs4WNkKzxmosRcoPq82UN+XqfuEyoEPwBhIzwiGprpvIQeQlN5HlHeQC0e4vMKTy9VGH8CLVsOeqbyiKK8kShvNUDh8aY6PoJItxFjHs6l6+Wskdsb9dDzwyAeISbaEQ86MZdUczTslsdCj8p5NcVjybASbXDS7TVM8nwO5dP1iuR38QTtcmxFsCKCYDR57IRZns/OeoVHY3Py83lXIfSNFG/9ZHJk2rQ1VBgm0/hs6WUAgNdwUzytBA2dRssbQNVpf+ujmjEMw6QvbKgwDMMwzB7GEDqMFLoUp7KsdCNzW8YwacbYk2/D2qxK1KM4nrbGORwdyMI6ZwUKAhwZimEYpjtsqDDMHsKXZUFtngueLlFerz/qLHiy7KjLdaHNxkJahtlbiEFL+StTSdutH5PbBZPWReGlCMceKZDDdZvbkwVnXUVwMZcVMWtiQGNE2HQAiDnkdHuLQvFFhTKPEIKzsBw+u7NgWeCmt/vpS0XlMjQHHa7bKCDCptc2kXm1DlngqgxlbiHEkpRAViE+pEScqmuBEnEqhLfRfHku6CG6zw273AZBCPc0hc4RRDolEgSA6A6xXsRswTVHn4MsXwR4sfO9BmcephwzFW22HXFUcuTPO7fTqsaIWx53s48WcZqaFaHiuyEUsTREjJj7hMiws2LEHLXTc1S4iQa3ddDldvjkNOJ+gCpgmYdYsVIdKUGI9MkQ/gB53AV1nAMACJN8T2hU3wIw3MRxGYY8x+xN9JgbJnl8NHqKwiBC4FNOAsAu7gmCKOGAoBOiV0MxlSgHBtX1yftPsR1iykn0Wdch0a0x6Kbk8YgRzwpD9c3Z/fgGYrwSb/HWT09JW0OFYTKRqMmMNpc5STjbbOZAWwzDMCrYUGEYhmGYPUwMSOl2TS8CT/Q7MnetiGEYhmGYfg+vqDAMwzDMHoY1Kj2HDRWGYRiG2cPEhI5YCo2LVJaVbvQfQ0Wh5Lc0yN4M3b0/unp4CE2D6OI1Eiyg5eYaodaOKsKpW9vl3cGIS66vuY38OISN8BAgPIkAAAVuKSmWRXvMUJ4eojCPzGsQnjQa4b0BAMJFhBcnPB/0DoXnkiL0Op2ZCLet8J7SzES47Wza+6K7ZxgACIUHCFktwnNBdcSCKSy3IVBAzyVno+zSEHbTbYjZ5TIsHtpDiJxjJvnzBhX+HoDul/tL5TFDHt2ggDpOQbgIbxcAGlHfXXlVSJ/vcU4AIdmTRjhpzyUtQPSN4vgInfAcMhT3A3XsAdUGWx3hDQVAmGWPKqFwxKPQI3TfBvPke91XQj+fKQ+dKNHcqIMeHZuH8KhUedfZKc8lMisiDYlnZtdjHIyAGUa38i0BwnNJUYfuHpHU9wjTe/qPocIwDMMwGYKABiOFYlqRwXFUMnetiGEYhmGYfg+vqDAMwzDMHoY1Kj0nc1vGMAzDMEy/J21XVETMgOiixNKzeh6uu7vQkRI+7qRrOP2uhHMp4Z6iDEJEmVUji+ZUoldzTBZcxbJoAaXJJ5dr2tZI5hV5RAh9Py221AJEupMW+VHCWbpQRb+HCaGig26vFiXC7RNhyAGQwspoFp03lCcLgjVCuBshjlIAgLCLEB8rIi5pRNNUwltK7KgT8wMALI2EiFOBkSMLQU11rXKa4tgDcswV9dKoYw90uh+pcpWh6qn5RAioVfOTnPuUQBcAQkQdFEJj6viHWI5C4E6IuHXFPUmG4SfmaNRNnxFlaSOEuzZ6fKkjPwzF8SIWn5xXKPoxRNwn0ABzLAp30I+mrM5nVMwBFHZ40eZwImLqMn6EAwIlTgfoYwByqumHttGlvrYu7czabIbe7fFkoU5eUIhpRTi5z4WhmMsADKHBEKnTlaSyrHQjbQ0VhmEYJvMwx6K4+/UnMaylDn/67aVYvvRGAMC3uZWoKXJhximTko2VDCUGHbEUbmqksqx0I3NbxjAMw6Qd7qAfw1rqUOFtxrxXH4unV7Q1Y1hTHXIDdFgDZu+FDRWGYRhmj9GU5cKffnsp1uZUIK89se211lWBSaddhgZrfh/Wbs+xc+snla9MJfPX1xiGYZi0YvnSGzECNyalHeb9DtixwDLq6nv7oFZMusKGCsMwDMPsYQzoMFK4qZHKstKNtDVUNJMOTfvhjvfvWyildVdkd1W6d5RbEAwnlshCefRyWZQQ0ttaVWpzOS3slhMF4aEAACY/4clDePcAgGEnQtXnKEKOt8iSeSr8PQBogvBSUIVCJzwP9HY5jLcq5LiRLadrAdkTqDOvXK+oi/aoiNplj4b2gfQUN1GOFsRUCOXS84MKDR6Up6LyWvYWlceMnEZ5MwCATswnTeGJIwgPDnJ8FF4/mpcI067IS6Iql/IAC9LeTFoWcVNS3mq9qZci1L1R5JbSwvm0F5y1hTgGQHG8QDRX7nOz4rgM6jgDnQjtb/IpvL8ILyk9qnjkU+H6FR5ClBelKgQ+5Q3kNrz4NrcSFW3NWOuq6FxJAVCPYrS67Ljg1CloDamP2TAH6ecSlS4Unof5axN9bu9yNIq9QQDdvIpsXrlcZw3tqSV5oQr6uA8AiAkNsRRu16SyrHQjc00whmEYJu1oczhRU+RCs9uBv5w+MZ7e6rKjptCF9hxFKApmryVtV1TSCUssimxvBB8uuBYAMHry/SgJt8BjdyK6F7jRMQzDpIqIyYwZJ09CbsCPBqs7nn7BqVPQnmPZa56pHEel5+wdM+InYIlFce8LT6C8wYuR6DRUSjo8+Pt/HsTG/FJc+etzYHA3MgzD9JiIyYymbBd0RDHqqnuhh4FW9OJUdWavgr9hf4BsbwTlDV7ktyX2JO96dQnyOwLwCy/cQT9arHIEWIZhGIZRIYQOI4Xn84gMPusnbQ0VLdcFTU+IJlXCTEo8GMlOFoGZFKKwzs/T6TtX0T5ccG18JWUnh3Z0ir/QDuy3z72wyZHIYQ4SQjZ7z5fmVCIw3SsL95RQoebb2um8VLh8hdCQEtmKbFnoKCyKcN1tckCncHkufSlCSBoo6vkediSb7scYpR0m7obu4bTjdSiV552hnGZyHfxlCvEhEWo+q54u1dpGCFFVxxYQgk1SyKoKKU+kC5VolRBWaxZF+PmODjnRQh+ngJg8H0WWPG/JEP4AYoRAlhKnA0DEJdc36qTb214hz11bO10HezMR1t5Jt1cnRPYg2qYpxlzrIATQCqjnq6BuCABwyn1jDtKCYJuH6AfiC5U6OgKg78monZ6j1ja1cLU7WixRhrmLkNi1NQJrMPm+oL7/VUcRxLr1eUwoHiBMr0hbQ4VhGIZhMpUYNMQoV8OfUF6mwobKD7DfFQ+g1OvBvUsXJ7nRtbjtuGDiBWgA7e7LMAzDMCoMkVoBLHEma8aQuZtaKaIk3IKnnp2L4d6t8bQWtx0jPFuxeMlcFLUTR2syDMMwDJMS2FD5ATwOJ9YXlWJrbkE87YKJF6A6rwDri0vhcdBHrDMMwzCMCmOHmDaVr0yFt35+gIjJjMtPnQR3wI/98jvPn2hANv5w3iXwOJyImM2g46Qy6YQ5FoU74EeDNR/f3n8JAOBXk+7Yq+I2MAzD9EfS9wkdiQJ6F2V1QzOZLXAwcdJmt706ky2xD6gZyZ4+Zj+9sRfr8hkDZrRYXLC1JN73wgU9AtgA2DxyGfZmWYFuDtJeNMIqD4MWVijYrb2I2kh5X5gVQ06F8bbQeY1ceRWJ8uTRFJG9o8WyO7dhpX8NUF5dpjA9Zv4iwptA64yFM+flJzCssQ6TJlyGb3e89/CLC7C9xIXpEyYhYjKTIfRVP1KiTrkOwiKnWaJRuBtiWHXPdQCAITffj5JgC9pNWZ3XlAqRkzTF5rMeJuYTEd4cAEzbm8h0CYUnj+jFvNMIDzLV56naigjtKUF5+FBeUqox031y2HNho4+f8JXJ9fUpPLUMwmknEKD7sdBP3OtRxXEKxDNA98ttMGz0qq5RKN9nepB+rkQK5TIsdbSHoMVL3dj0zzVqLHRi2sYsdN+aQ3LfOBro40UiLrlvrS10Xq3L885mT3j9WLwhxII/7Kmjq44tyEv2ABNGGGihsxrQYKRQAJvKstKNXq0VzZ49Gz/72c+Qk5OD4uJinHLKKVi7dm1SnmAwiKlTp6KgoADZ2dmYMGEC6usV/pUMswfIDfhR3uBFQVsA9yxbHE/PbwtiQL0XOYSbbyqwRKN46LGn8OTfH46nlXo8eObhBzF32ROwxHruTskwTGax86yfVL4ylV4ZKitWrMDUqVPx0Ucf4c0330QkEsFvfvMb+HyJX+6XX345Xn75ZSxbtgwrVqxATU0NTj311JRXnGF6SlO2CyO91ciGD4e1fxdPL0EDRrZVY+VD1+7i0z+enNYIBtZ4kd+a+BX84MIlKGgJYEC9F26/vArFMAyzJ5g1axY0TUt6jRgxIv7+McccI70/ZcqUpDKqq6sxfvx4OJ1OFBcX48orr0Q0mvwD7N1338Whhx4Km82GYcOGYdGiRb2ua6+2fl577bWkvxctWoTi4mKsXr0av/rVr9DW1obHH38cS5YswXHHHQcAWLhwIUaOHImPPvoIRxxxRK8ryDD9lc9n3YBRuCEp7TDPDkPJA+yXc++erxTDMGlBqgWwP6as/fffH2+99Vb8b3M3acAFF1yAW265Jf6305nYIozFYhg/fjxKS0vx4Ycfora2Fueccw4sFgvuuOMOAMCmTZswfvx4TJkyBYsXL8by5ctx/vnno6ysDOPGjetxPX+SRqWtrQ0AkJ/fqRNZvXo1IpEIxo4dG88zYsQIVFZWYuXKlaShEgqFEAol9vu8Xnb3ZVLPMefdivnPPYp8bxAlaAAArHaNwPQ/TESdy923lWMYhukDzGYzSktLle87nU7l+2+88Qa++eYbvPXWWygpKcHBBx+MW2+9FVdffTVmzZoFq9WKBQsWYMiQIbjnnnsAACNHjsT777+Pe++9d88YKoZhYPr06TjyyCNxwAEHAADq6upgtVrhdruT8paUlKCuro4sZ/bs2bj55puldBGNQeg/vIcfccr7cqZu+qmuYdgtAYFYqGtYZ9oKtWwnQvMT1wKA7O2yYIsybrUIHVZbC8kaCS1K56XEg7qHFr2J3Bw5USGW1AKyOMxQHVtA1E1kyXk1QrwIACa/3F7DStcrlCeLGmNWRfh5QkhqDgCFPi8WPf8AKrzNWJtTAezoruHerfjH0rn44zmXoNHsgkZoGqlQ+wBga5HHIexKLmDQ7fejzOPBg48tweGtiWCBzfl2nP/H89FgkYMFWjvkSoSz6Tlqc8q3r8lH621iAwqlND3QixD8BMp5R4helSJdB9HBVBrQKbCX8spKVs2vEDoSR0r4y+mD8MI5xLEHQ+m+1ayyOjTSSIfF7yiTx8wVpu91E9G9oSHyOJo9dHspIbpqfE0dxDPMphDTE/eqmbinAcDSRoh/CeeBUCE95tQRGqTwH4C1VW6DrnBKiHU5tsDoctRHNMeKaDdhr6WlF8eWdJ+jQv0dZiDFpyfvENN2/7Fvs9lgs9H9u379epSXl8Nut6OqqgqzZ89GZWVl/P3FixfjH//4B0pLS3HSSSfhhhtuiK+qrFy5EqNHj0ZJSUk8/7hx43DRRRfh66+/xiGHHIKVK1cmLVzszDN9+vRete1HrztNnToVX331FZYuXfpjiwAAzJw5E21tbfHX1q1bf/hDDNMLPHYnNhSUYqurABefdEE8fWtuAdYX7b5YOCWhFiz9+/0Y0ZqY0835doxs2Yqnn7qfgwUyzF6M2OH1k6qX2GGoVFRUIDc3N/6aPXs2ef0xY8Zg0aJFeO211zB//nxs2rQJv/zlL9He3mkh/+EPf8A//vEPvPPOO5g5cyaeeuop/PGPf4x/vq6uLslIARD/e+fChCqP1+tFINBzA/BHrahMmzYNr7zyCt577z0MHDgwnl5aWopwOAyPx5O0qlJfX69cPtqVtccwqSBqMuOK/zcJ7qAfTVnZOHDavQi7gAs7JnfGwtlNcVQ8TifWlZbCL7xxF8U/XTgZzzz6wG41kBiG2XvZunUrXK6Ea7rq+/WEE06I///AAw/EmDFjMGjQIDz77LOYPHkyLrzwwvj7o0ePRllZGY4//nhs3LgR++yzz+5rAEGvntBCCFxyySV44YUX8O6772LIkCFJ7x922GGwWCxYvnw5JkyYAABYu3YtqqurUVVVlbpaM0wviZrMaMpKjivRmC3HmUglEbMZ084+B7lBHwbndu7R1iMbp18yFR3IQkQV04bpNxghC7adfxUAoOLRv0G38Wm5TM8wRIq3fnaU5XK5kgyVnuJ2u7Hffvthw4YN5PtjxowBAGzYsAH77LMPSktL8cknnyTl2RmKZOfCRGlpqRSepL6+Hi6XCw4Hve1K0autn6lTp+If//gHlixZgpycHNTV1aGuri6+hJObm4vJkydjxowZeOedd7B69Wr86U9/QlVVFXv8MHslEbMZjbndDKRcFxspGYAlGkWRJ3n7rsjjhSXK8XGY/kdHRwc2btyIsrIy8v01a9YAQPz9qqoqfPnll2hoaIjnefPNN+FyuTBq1Kh4nuXLlyeV8+abb/Z64aJXT8v58+cD6PSv7srChQtx7rnnAgDuvfde6LqOCRMmIBQKYdy4cXjooYd6VSkAEB0dEFpC8KTnucl8vnLZIs39Plmc1jWypx4R0COJv7NbaSFa1C4LxqwdtPUbdcp5TYRATg/QDzBBiPwoIRwA6ES0WVUEWRhyHTSF6A1RWRCoUeJFAIjJ/WBky2Jaw0afLE1FVI3ZaJvZ3iiPTziPFipSEWs7ymkRJxVNmBLpaoouiBK7NrqiawXxq8naRs+lUK6cnlVPRzQOFsj9YCbmLQCYQvJcsFCCbWLOAEAsS14+1mJ0vai5oHuIeatANe8okS55n9jo+REqJeaj4sTZMPGD1JSVGGBTh4Z7FjyHAds6cDhuAgAMaW/FI3c+hY0Vhbjsj2eSxmiEEEarvEoDA2QxPCUY95XS7bW10eNDYQ4Q96QiWrTZL+cV9LSDTkRVjmYRInDi+gBg0on7RBF9mTo+WFjoiumRxPV0U6Kd5o4IzN0i02pUpFqqXoAs2FZ1DPrePfmKK67ASSedhEGDBqGmpgY33XQTTCYTzjrrLGzcuBFLlizBb3/7WxQUFOCLL77A5Zdfjl/96lc48MADAQC/+c1vMGrUKJx99tm46667UFdXh+uvvx5Tp06NbzdNmTIFDz74IK666iqcd955ePvtt/Hss8/i1Vdf7VVde73180PY7XbMmzcP8+bN61VFGIZh+gsbLrgWJyM5UOB7M27HCNwONACH/9+N0koaw6QT27Ztw1lnnYXm5mYUFRXhqKOOwkcffYSioiIEg0G89dZbuO++++Dz+VBRUYEJEybg+uuvj3/eZDLhlVdewUUXXYSqqipkZWVh0qRJSXFXhgwZgldffRWXX3455s6di4EDB+Kxxx7rlWsykM5n/TAMw/RT2EhhfojdpVHpKbvy2K2oqMCKFSt+sIxBgwbh3//+9y7zHHPMMfj88897VbfusKHCMAzTSwYtvAsAMPrrerzyt51C6WJcdsv/4YvhA+Fr6LlQkNk74UMJe07qNsgYhmH2EnR7BAM7GnHXE8/E07Lgw10PLUN5ew9PqmYYpkewocIwDNNLilrbsfjWx1HZ2BpP21ach4q6Vvz9+qdQ1MbB/Jhds3PrJ5WvTCVtt340sxmalqie8Cm8BghTy+imCu/6tylowBRMeDaoQkrb6+TrdQ273BVhJsLaRwgvmh6IkXdVJgBohIeQUIQnp7yBYi56SVrlZUTWjeozyoPEpla8d0eP0ten+kFT5CVOFyC9ewAgQjiAmANyXiNCzw9DjuwPU5jOq1HONfRUAohTB4K59FzQCUcJ5bOKGDOjUJ4LhsLTg2oD5YGiIjBcDv0O0N4mpqDCm4iomx4i7jPF8RNhl3w/qO5Jw0Z4hXUkBr1Zc2FtWRkg6nDEVTNRU+DGuc1nY+ldj2BtaQna9WyYAkR9ibkbzaLvEyp8fKBQLlN1pETHAMLDSPHEd9bJb9g99DhQXo6qfqS82ywdshdNOFfhudQgRy8NFdPPMBtxfISmCqGfnfBiE108eDSvXz5agvKEUzlUCWPXfzM/irQ1VBiGYdKViNmMi6dMRF6HHw0FnW7ENQVunDZzClqznRAefrQyu6avxbT9Cb6bGIZhfgQRsxkNbhe6BmPp/JsfrMwPw4ZKz2GNCsMwDMMwaQsb/gzDMAyzh+EVlZ6TtoaK5nZB07sInhQqeo2IbmzvFjra3iU8eyTbhIglIXCytinEVoRwNuaku4sS9AkixLJK2EWGeVaIfKlyowWKUPWEqFDvINSaABlC33Bn0eX65LD2BhVinegXgG4v1YcA3eeGTSFwJcSdKpGuxSfnjRDNpcLyA4DNI6fF7HS9ItQhyYq1zBhx0GnYpXgAEVUL5tPCTEejfEFHkzwfKdEsAOgR+Y2YIlx/zCGnhxSCYKq+wQK6vc564hgAn5zWVSzfFWouqISoFq+cHrPT9380W567lna6XL0XxzxEsuUyggWEGNdNP1csbvlejwQIFTgAwyJPvHAO3d7sWuJeNXr+vAqUEEcsRBSi93w5L3UcBAAY1HNF4SRgbmxPlOdI9Ilw2mHoyeWYWtvRHcNFn3yuad3nOW9apIK0NVQYhmEYJlMRSG2Qtp77bfY/2FBhGIZhmD0Mb/30HF6XYhiGYRgmbeEVFYZhGIbZw/CKSs/hFRWGYZgMxNShYeMZN2DjGTfACHYKRos9XliitPiWYdKVtF1RMZpaYGgJzxvNSqvVrYQzkNWTfCNau3hj2JtCQLCLq5BKgUQYp0qDlfA2MXWEpbRoLh36mQy3H1R4I+XLHj6mdtkLBwCEQ+4zLUS4SQEwsgklvl9uAwBE82TFu6lN9jCgrq9CDytiUhN9G3WoQsrLgykUz+SQWy6XCgkfcNOfF0QVzHK0bwBANIvw1MimPRdEjlxhq5Mes0hQvn2d38jjCABRwkkhRvQjFbYdAEwhOT2Uq/D6ITyXogqPKF8FcQMa9E0ZKJLLcG2S6+BsID8OU0guV3V0hKWDCH8fo9sQs8njQM0PAAgUE/OZmB8AEHHL94S5UJ5ko8vkBpsjMVx5w3IchesBAEcM2oySthZc8dc38P3gItxw/e8Q7eIls721RCpDD9ONoJ6D4RxFg4mY/YaF8KiyKvogSy7X1krf1GbCAyzmokPz6109MLt+t8Ri0GLJ/R7bEXm4K6ZW+kiX3ghaeUWl5/CKCsMwTAYRDVjhqDfg/j5h4FZ+6sWlU96DuzaCoZsbketVWNUMk4ak7YoKwzAM03teH3cPAGBpl7S/XrEEf93x/1PvnoJmRewlZs/BKyo9hw0VhmGYvYj6YldfV4EBIIQGkULjIpVlpRu89cMwTNphhM34/uoZ+P7qGTDC/HuqN4x7/S8Y9/pfcOET58fT6lGMDmRhXUk5ShroKN8Mk66k7xPAZAK0hNhLy6V/BTiaZQFVJDu5WaYuYjdh0SFiXewzRchwjQg/b1hpuy7slrvRQZUraKmV5idC8CvCdQuTXIdoAS3SBSEUNMrcZFY9JAvUogoxrKXFL9fLLNdLJdylMHJoEWgkS+4HlZg2SoTWp8KQA0AoT04T1EkGCo0vJbYO59JZDaIbzcW0RiAnSxYl719YR+ZdUz9ASvOV0uJBU0juM1oQTN8QGhF+PquGFlt7hsl18A9QzP1KWZRYYPMhuzGGzTv+zh3VghJ/Kzb6ixExJ88HX0i+lh6hRb5UmHZbG91eE9E0SowLAJEcQiBLR1gnhcaRgXQ/Wp1yutMup7WHuxVqAvKbO3Dl1f/GIzuSbr57HK6792XsW1OLOZcvw2nXTImf9AwAlqDcBmsb3V5KdK46qiKcLU+y9kpCFL1ZMe+IZNXRDRFDnguaQpgdyU8MkMne5QbVNPn4EqIOUcWqlMnbLdy+oV4LMKClNDJtKstKN3hFhWGYtMHUoWHWbf/BPde+GE8r3BbEA395DnMe/Ce71vYQr8uBLYPy439/t38ZrpxzKrYU5WPtgBK0ZissKYZJQ9J3RYVhGACAKRKDvR545LRFAIAz3rkIhT4PzJFYkotpJrBu8vX47Q6X2p0sv+xODMedQANweMd1SSsBDE3UYsI9tx6LM7wXoKWg87TNRocLp10zBa3ZTmllitnzsJi25/BsZZg0xhyJ4dJr30HehlB8GT+/3ocb/vIqvh5QhhlXnZZxxsquYCOl50QtpriRshPuv/SBxbQ9hw0VhkljcppiyNsQQnZtYqP84unvI7suhgERH9ztfjTlywGp+itDnrgTruwgRn7RiKU3zwPQKQT9y+2/w7t5o/q4dgzD9AWsUWGYNOadC+7GPrV1KEEi+ujouu+RDR9GNGzLKCMFAHR7BAO8Tbh5/ovxtCz4MPuB5zGwo7HvKsYwKWbn1k8qX5lK2q6oaFYrNL2LilunbSqbR3bLsDUle07Y7QkBXtRuRlRLKMGjTrpcU4iQeis8hIQuTxBfuSzvN1NlAggVEJ4LYVqtToWJV4Uy1wmPFbOfroOF8EhSKeYpD59Ivux5RHmKAIAW64VHlUtum7+YzmsQszlUQNeBDFtORXO30/1la5AvFiqmhZ4mv1zffJfsOQUAR5RsTvp7DZkrQZYt2QskQIS6B2jvCdVcoLC0yx5cKu8LG+EtEmmix6wjN9nbq7jNi4fufhqFXe7h6oJ8jKzbhqV3PYLTrroYDV09AIkxU3l62VrlzMF8RRu8xBwlvF0AIJxLHfNAZkV4kHzcRUmJh66DSb6BqS+j7U1u8vMRr/xcMXXQ7TX75XLNAfreCbkI7zrC86kznUgkpl3rSPrzOZvkNKH4LtCIZ5iljfY87PpsS3oemXXp+SaIrVWNOPYEADR78nzWjMw1HvYkaWuoMAwDTPngXNhrwjj/kpU4oK7zqV2PYvjKNEy95Sw0g3br7q+0ZjmxrrwUQB2qpl+Hmvw8TG45B0/ftwBrB5SiNYu9VZjMgDUqPYcNFYYBYIlG4e7wo7HLr/WiNi9azPY+9ZAo6PDg0unLkVWX+NXnK9MwpLYBj9z4BC7828SMCoceMZtx8flnw+1LjEVNfh5O+8tUtLoc7K3CZAwixds1mWyosEaF2euxRKOYt/ApLLt/HspbWwEA5a2tWHb/PDz0yD/6NHaHz21FzT5uNJQljJH77z8eDQOy8f2gQrS5FHsM/ZiI2ZxkMAJAY66LjRSG2UvhO5/Z63H7/Nivtg6Dmpux5MEF+MvEM3HP4qUY1NwMaAJ5Pn+yLmIPErOYsODOXyG7LYTzC88BAHTAjLseG4eV0SF7lWsyw2QSAspg5T+6vEwlfQ2VWDQp/LBobiWz6dEiKa27+Knr37YGP0QwIbAS5fSeNyVQDRGiOQAwE9HQKfFi1EF/qZgI4azJoghJnSUvglEiUgCIOuX62lvoNgiTLLwzzHRei01uh7WF6ATFXRgszSLTKQKFhHBXsdPhH0II5xR6UT0rsUrSWGjDH248D0tufxyFDQE8f/+DeB4P4puiCpx35R/RUJAtFRQqkVdZTD56gTLmkoV3LW10H6zSKxUVBtCS/Hetxy1lc3roMcuuIcR/xPA4ajro63cPKw4AGhEPHoCFEOm6N9JzwRSSJ29HJZ3X0iHXwbARx0RY6D6gxOW6QuAeI8oIKwSjZr9ch/ZhdLk5bllEPaZ4C5m30CKPxRu1I6W0aDOtU7I3yPepvYnMSgpnTcSRAwBglvXA8JfRfROsJI4HCMv3idlLPxujWXK5tnaFQJ44WkPoqiMlEuMTtSVC6AdKsxDsdvQHJdI1+2gxramhW32p+4bpNbz1wzAAagrduOKi05LSrj3/FNQUuPumQgyTYViiURTUB1D95ytR/ecrYYQsKG7z7rXHIuw86yeVr0yFDRWGAVCy3YdbHvo3fEisdFz/6BsoqfXBCNGHMzIM0zMs0SgemrcYi//2eDytrLUVz931UJ/rwJj0J323fhhmD1HU6sXHV92JUbg9Kf3wprXYeexM5eN/7YOaMXsbpkgMljoNd5/8DADguo9PQ76vDX63FYal//6udDVHULGtHQVNiX2j+XOXorAlCL/wwu33o9G1d4X3Z/fknsOGCrPX48nh2BxM32OKxHDeVR/CtT6Mu3ek5dQFce7UD9E4LAfL5hzWp/X7KXx+zSyMwqyktMNb1nb+pxkY6pqz5yvVxxhCg8aHEvYINlSYvZ6I2Yx9HpndGUfFUYDqi6YDAA6581Z4nDZ2i2X2CJY6Da71YThqEmmnTPkKtlrAacTg9BDCVIbZC+j3T2BK4d/duybaJdR3qMiBUBdPA1X4eUrhHyZCR3emy2k6seWq09GcocXkcnVF+PlAkZw3ZleEujfJ6TFCGQ/QHj72NlrZTmm2YlmE15AiLD6VHnTT4+AbILeh9NA6Mu//lWyQ0kIKlyhfTPZY+biuErlBT/zv6LAY9FgINshuDhGP7GkRc9P77BoxDhYrnbe1Q17dCTTSKz5ZW+S22ZvouUCFf7c1B6W0aA7tyaOH5bmgRWnPFqtXbpsWofNG7XI/Ukc0AIBBSIX0NuJ+oJuAYB4xx2lnQtJDyNmo8BCyyuVa2hTbNAPlpPCOOfrAyU/FV1J2MqJ2c+d/aoD7y46Do1Z+iAizwkvKJ6epwuJn18jlBgvoe4d6NhqqOjg7jashT9yJ0uY2PDj7eRzWuA5AZ4TllmIrJs88GzV6IX0t4pnrUHkuydMZoVx6HPRol/QuXowd5TqC4eRnkaVDbpvikQtrmzfpbyHUxqUQKXZPzmD/5P676ckwDMP0C0oCLVj614cxvHF7PK2l2IoRDdvx9J0Po6jbFzzDdKXfr6gwTCox2SM4+JXrEgk+DqjG7BnO++/5cNf7MHnaR9i/y7lO0QExvPTwQVAsyPYLPDkOrKsowUDRjp0HgU+eeTaevvNhrKsogWcvPMOJxbQ9hw0VhmGYNKDA14orL3sDzi7nOkUHxFC+vQVnXbQSz/3j0D6s3U8jYjbjkst/D3d7AMPybwUANMCJM285H54cByKNe99XERsqPYe3fhiGYdIAX64NNfu40djlXKeXHj4IbRV2NO+bjaC7f8fziZjNaMzLSUprzMthsTrzg6TvDNFNna+dKM40ocSwWbXJSjg9llAZRXJMiFgTv1iocN8A4Bkmd03YTefVCBFTLEvO69im6G7KEDZo6zjiki8WzU8sCluiUbiaI/j82lkAgCGL/oqSQEvnrxazGQELfYidrZUQ9CpCaFPxHDSDqJedHjNKfBgsoNsbLZcVcseXriXznuFYhVCNHYce/T0A4JNvhyHmjSDqNkF0u+aa4CDp85/qFVJaJEB/OZhdskguFqHtfkGMZcCnUHy2y9ezeOlyiQjrsPjoMXM0yhsHpg5ZJKzc6ArLn9eitNg6NFgWRoYK6FDm1NxX/TD0l8r3lCBC6Js66P4yheSCTWH6nqbmvkkVbt8q39fOWroRbdm5UtoHGBL//4eXDoG73Y8D8m9EhduDl3AA/jt3CNpddkQ9JjT65KMX7HX0c8XqJUK/h+j5ocXkdKtXcf6EkPvXqpijoc1yfU3tct+YFZfK2Sq/oSk0/kG3XIeoQ/Fc6bLTFO3yPPMNBALdpropQB3jQZfrtHW7rxXPcYDdk3tDr1ZU5s+fjwMPPBAulwsulwtVVVX4z3/+E38/GAxi6tSpKCgoQHZ2NiZMmID6+vqUV5qhsUSjeGj+Yiyek4j+WNrchmduehQP3PtMRkd/NEUMDLy4FYMnJlwCLDUxHHR6DUZOrYdGnKfEMOlG1GJCU37yqkNrQRYfPsns1fTKUBk4cCDuvPNOrF69Gp9++imOO+44nHzyyfj6668BAJdffjlefvllLFu2DCtWrEBNTQ1OPfXU3VJxRoaK/vjg7OdQ0BDCwOp2uNuJgwMzBFOthti3FkS2JdxdC88Jwqi2Qnxnhtmj+BnGMAzTB+x0T07lK1Pp1dbPSSedlPT37bffjvnz5+Ojjz7CwIED8fjjj2PJkiU47rjjAAALFy7EyJEj8dFHH+GII45IXa0Zks+vlaM/HtbUGbMAjcA+ebcB8uGtGcH1J760M9p9nIrttZ3/2Qa8V7zPHq8TwzCMik7jIpVi2pQVlXb8aDFtLBbD0qVL4fP5UFVVhdWrVyMSiWDs2LHxPCNGjEBlZSVWrlypLCcUCsHr9Sa9+hOWaBRF3epc5N17TwRlGIZhmFTSazHtl19+iaqqKgSDQWRnZ+OFF17AqFGjsGbNGlitVrjd7qT8JSUlqKujI4kCwOzZs3HzzTdL6ZrDDk1PCJMMRUAgSljVXdjZ9W9Lh4FYF1Gcv5juAkeDbJ6GipPTLNEo5j35FAbWtWFU4zYAwBF/uxZLH1qAtaVluPjCPyYp2sO5tMlrJaJrGoRIUMkOc3Pggjkoa/Zg/pxncHhzp+C0HsVoLrDh3KmTUd+SDUeLQvCpy9ejotUCgDkkd7rQiQihiii4goiSGpMDlAIALHbZ4CuxtElpc1b/P5zevhamPwZRvq1zJaUexbAODKL2yXxYTcnC0c0meWlp/wJ5nlbbZMEpAHy/pVhKoyLQAkBpqUdKa/PRouYAIci1bKf1CWZCOGtvpbe4LF65HYLQPUTy6HpZWuVtQ0NXRP0k5ocpRLfBO0guI1BK92PFAfL42Ezy/Nja6iY/HwrKIaQjjfQct1PCWUIwDgDOBllYLXRaPBwjojJ7bTlETuDrhmwpTSPmh0KWTUahpSJmA4Bhk8sVim8Hc5CYd81035j9hHCWqJdJoSHLIiLxUn0IAAYxn6lI3gDgr0zMUaNrJOR9/EAs+ZoBr9zDVkL0DgCaM/lBpu1CTMvuyT2n1ysqw4cPx5o1a/Dxxx/joosuwqRJk/DNN9/86ArMnDkTbW1t8dfWrVt/dFl7GrfPj/1q61DZmIjD/fe/PolBDa0YXlOHPN+e3WcpDTRj2X3zMKJ5WzytucCGkc3b8OxDD2R09Me8jjaUTdoK17ZEG+0VQbi3tWPYudtgqmeNCsMwTH+k14aK1WrFsGHDcNhhh2H27Nk46KCDMHfuXJSWliIcDsPj8STlr6+vR2lpqbI8m80W9yLa+eov1NsL8PuLLsF3hQPiaQWNYXxbNACnT5uGhtw925bWbCfWDihBdWF+PO3cqZOxpTAf68pLMzr6Y9BtQWy4BbGKxK8q71MFiFSaEB5uRiwv/UIGWSJRFLW2J6UVe3jbkGH2BsRueGUqPzmOimEYCIVCOOyww2CxWLB8+XJMmDABALB27VpUV1ejqqrqJ1c0Hdk64zJsBXB4FwFrCRqARgCzgMoF3Y8Y271EzGZcPHUi8jr8qHT/FVrAhHpk47S/TIUny4mI2ZzGgXN+GoZVR/uCPGitBppKEobj9ufzO40UInZLX2KJRDH7rldw0mefAwD2XXwHBrQ3YtHsJ7F2QAkuvngiB8JiGIZBLw2VmTNn4oQTTkBlZSXa29uxZMkSvPvuu3j99deRm5uLyZMnY8aMGcjPz4fL5cIll1yCqqoq9vjZg0TMZjS4k1dyGvfwyk6fYdUgSpL3qWMl6Rl/wt0RwLBtjfG/D1q3FfcseCa+jZjX4ZfGkWGYzIE1Kj2nV+vhDQ0NOOecczB8+HAcf/zxWLVqFV5//XX8+te/BgDce++9OPHEEzFhwgT86le/QmlpKf75z3/uloqnA4fMuhXfFFSgHglh5aeF+6EDWfimoALFGawJYX48saAF9Y58TL7iT/G0eTc/j4L6EL4tHIgzr7qQjZQfwByJoaC5A7GAFW8ddy/eOu5euLZHYI6wFonpJ/DeT4/p1YrK448/vsv37XY75s2bh3nz5v2kSgFArKkFmpZQVutOWl+hE6GfQ93OxNBsib+jTh1RU8I+o0JHA0CI0DTo3UJw+5xWbCvNBbQ2YEdA1ItmnIFl9z6EbaUueGxZ0KKJzxjWnivjo5oi9DMRml9vo4eRVtyTWeFokstVef1QIfRjdjnNrDiewF8k11f1YyDcJivuX2s8gMybb5Zjyu9vpT3ONoWKpDSHifAwMBS2PFFfezbtIRSOJq/qrDml81C29V3SSnYeKdsEDLL/DZov8Z5QLApRnhJEdHMAQMwu97mJCLxg3e4hP68F5LbFyvKJnLRXV9hFNyIiR1hHrJTuxwkDOrfJ9LCB317+JQo2+PDZ3wfhHfwVAPDwzKeAETHcfvtvESM8QP7Vcoh8/e2K8PMdhGcaESofALK2+qQ0p+L+1WOyt4gpSJcbIrqXGt+YXfEMc8mZHS09PzLA7KeNPupoDIuPbq+NCMNv6VDEy6eu5ZCvpTr2gPIAVd0PoouHXtf/R4IWRLpJxDQqhD4xbwHAaGpJ/lvIHmFM7+FN8J9AxGzGtElnI0v4gas702oL3Djtuj/DAxdrDJgfRXlLK2ry8/q6GmmLvS0C+zoBy3YN+5ybcFU3ttmgIwRLnYaYfGwTw6QXKd76Uf7aywDSzxWinxExm9Fc4kDlojtRuehO6LYIGtxspDBqRj83C2MeuBari/aLp5189eX4tnggOpCFpx9YkNGu5D8Vf5ENA7c3IRs+DN5eE08vQQOKtrXh7pOf6cPaMQyTathQYZg9jMkeQXuBGdsHJtaPvzqgGH+e9Xs0FdqxriyzXckZhuGzfnoD/+xnmD4gYjHjqktOBc5LpNUWuXHa9IQrOaPmoZfH4ndT1sCyXY/rezYPKMfGRblY5hzTx7VjmB+GvX56Tto+DTWzCZr2w9WjxsawaLv8O/lCdHLOVkKwpdELUNGgHC6bErhZPYqQ8kQzI9m0eWxv7PkimEXWlsKuENNRwkyVmI6+lhykLFBMhxE3EcI9U4geCCpk+Pb2XDLvGtcgKa09RoeELzS3S2nFFnm7pS5AhzdvzpNXPPwddDDzgJc4H2BHF1T+vVMIGonoQMQGj54NBICukktTkCwWOjU8ivmsh4mw9i3yBBFWOjS4cMnqQUpUDQDmDllAGLPSZyRQYkenQpS8UyztaAhj3MXfIGd7CC0Dc4AdgZgLt7ehdHIDXntkFLw2eXxMWUQgvR48Y3ZibaMD8WlhKp2eC+aAfP8Jk0rxSVyLSKOO4ADo54q1nb6nKeG8SSGGt/lk0bmtVVEHom3UvDG30WMey5afIYES+rkSyiWcErLo56geTNRB79p2nxmIJn/G7CccK+Qu6EzPST72QDfCgKy1ZnoJb/0wezURjxVTR76LqSPfRcjf+WXqbAhBV3gWMH1PyG2GZz8H2its2PhEYSJ9oAnB4Rb4clWn3zBMGiG01L8ylLRdUWGY3Y0eNjD2mu+S0rJrgjhp0hdo2TcLb943so9qxuwKw6rjvbn7wuaJYlhFIz7f0uniU1OfjViejlhbegb5Yxjmx8GGCrNXEvLb4WwMwdYlmEnux2Ecd9sGmLfryIcPdk9EuZXC9C2GVZe2FqNpGoWYYShSLYBlMS3DZBgzDntNSvvTRe/E///UE2PgL7Z1ntvEMAzD9BlsqDAMQUc5Lf5kGIZJCakOe88rKn2Arid72ej0GnzMRoWJ7zZiotv/u/xtVYRzjjhlnTHlRQMAekSuAxVG3KQIX0+FSHfWKbxgCNF+TKEdpMJiq9AMwhMnQHs5hHNp1b30ecKTCACC+XLfqkJdm3zyG6EovcS/xjNQSovk0nmv+ej3AAD7FoFZZywDANSjGFnwob7UhTu/Oh5NpTnY6qUjxPraZG8irZX2mDERY2ZroRtMefjYPHQ/mkLEmAUVIdJD8lgKp2yMCUXod0GEpIcibzhf7huLT3F8BNHeUIQeM58hT/TPgpVSmlWn523MJz/uIlk939ujjokAAMMuj7vZT7uF+MqIOaI6PiKfOC6jXH6IRBtpozrne7kfVR6QFsobSDG+1LPYMCs8GgkPHy0qzwXKuwcAolnymAWJ400AIOyW66UrItjbmhN5bV3qaG3REOvmaWhv6vkcEdHkuScMei4C7J7cG9jrh9krsTpDyPe14bzL342n3XXvsWgvN2NoXR1uufRl5DWxXyHDMExfw4YKs9cScFvRuE8iTsq6A0px4/0noa7cheqh+WjP5e0fhmF2I3xyco9gQ4XZa4lZdLxy3/64a/k43PjFyTA7wmgqzcF1D52Mv936a0Sp7Q6GYZgMYNasWdA0Lek1YsSI+PvBYBBTp05FQUEBsrOzMWHCBNTX1yeVUV1djfHjx8PpdKK4uBhXXnklot22v959910ceuihsNlsGDZsGBYtWtTrurKhspsxwmZ8O/tyfDv7chiR9JUE7a3ELDo6ipJXTloLs9hIYRhmt7JTo5LKV2/Zf//9UVtbG3+9//778fcuv/xyvPzyy1i2bBlWrFiBmpoanHrqqfH3Y7EYxo8fj3A4jA8//BBPPPEEFi1ahBtvvDGeZ9OmTRg/fjyOPfZYrFmzBtOnT8f555+P119/vVf1TNtvTs2kQ+siptW6hSbeiSScBWDxJYvQLNHE35oQ0Lo4nKvCYhtmWfRma6XX1ygxq7DH4A760WDNj6cVtrejPceCqCm526mw2JYOxbUIzVnUSU9Qs0K8S0GF0I5m0+JQKly+KSinaTH683arfK2YlTYMrB45b0Rh8GVb5DDc9SE6BH6LJoeEb/DLeZtb6Hln+14edItC0mJvksfSMCtCexOaRkcTHfacOuJAj9Bi2li2XF9zE3XGAj1mIMSSquciJcxWESG6NxKg6/C+Z5iUtl9Wg5S2uaOAvliUEN776bpSolPVs0IQfRPJUQirCY2tr5yuQ84wj5T2ywEbpbT/iP3Jz0dr5WMEIg6FiJsI7W9powXB1JEBoQH0fWZvlB9C4Xx5SzVKOC8AQEeZ/FwIFtITLzBArpdOhL8HAEt7It3o8jixeTQY4eTyKacElUhXCmayq+AmaeD1YzabUVpaKqW3tbXh8ccfx5IlS3DccccBABYuXIiRI0fio48+whFHHIE33ngD33zzDd566y2UlJTg4IMPxq233oqrr74as2bNgtVqxYIFCzBkyBDcc889AICRI0fi/fffx7333otx48b1uJ68orIbMMeiuP3lZ7HgmcdR2OKPp9/3zydx2yvPQgtmrjqbYfYUpkgMlmrgptEv46bRLyPstyG7MQhzpOdnVDFMpuH1epNeoRB9jhIArF+/HuXl5Rg6dCgmTpyI6upqAMDq1asRiUQwduzYeN4RI0agsrISK1euBACsXLkSo0ePRklJSTzPuHHj4PV68fXXX8fzdC1jZ56dZfQUNlR2A+6QH+M3r8IIbzXee/rqePqhHd9h/JZV+OKR6X1XOYbJAEyRGC699h388YKP4mk5dUGce86HuPrG19hYYfoB2m54ARUVFcjNzY2/Zs+eTV59zJgxWLRoEV577TXMnz8fmzZtwi9/+Uu0t7ejrq4OVqsVbrc76TMlJSWoq6sDANTV1SUZKTvf3/nervJ4vV4EAj1f8k/brZ/+TJPT1ddVYJiMxl4P5G0IwVabWJ08ZcpXsNUChdEgctqCaC2Ut/cYJtPZunUrXK7Ed5DNRgfaOuGEE+L/P/DAAzFmzBgMGjQIzz77LBwO+tT5voINld3EqKkP4MDaLZj7zydRgs599NNOvBbfVpT1cc0Ypv/zyGmL8Ei3tBG1mzv/UwecVDhtT1dpt6O165h32BIAwIXv/wkWRwiuxgAs0SgiZn6U9zt2k0bF5XIlGSo9xe12Y7/99sOGDRvw61//GuFwGB6PJ2lVpb6+Pq5pKS0txSeffJJUxk6voK55unsK1dfXw+Vy9coY4q2f3UR5oBF3LV+ELCQUlret+AfKg43QLepohQzDMN0xR2K4Y86/ktLyan24fPJbeOC+pbBE+ZnS70hlDJUUGD0dHR3YuHEjysrKcNhhh8FisWD58uXx99euXYvq6mpUVVUBAKqqqvDll1+ioSEhaH/zzTfhcrkwatSoeJ6uZezMs7OMnpK2ZriW64Kmd1myCtKCIHuLrEwPu5Kb1TXMvikoyNDj3bG1EF4sbrq7ot28CQoCXjzy5kMY2NGMdVkV2GmrDGxvxt+XPYTz/980NHfZHqK8JMyKOvqKZRW82U9kBBDKlUW7zoaeezkIIrx5Z17Zvo065eVFypsJoEPoh3PpvP6hsry+JIve2zQIN5T9s2vJvC9uO1BKa22XvST0RsVxAYQe2taiChNPeA0QYcQBQI/J6VaPwsWACHGu8rjRiZDuWkguN5Yn90Hn5+W8msJTK5wt3yfhbPo3kbVNTgsG6XKbggkXoeP/cyWKGtpx3VVvYnR9pydMPYrRUWrCpGsmYW1DsfR5i1cuVxDebgBgJrxgYnaFyzpRBOUZBwD+EtkbKOqm9TSHlmwDAEQCVuQ2BzBouzf+XuWnXvzxrpVw1hgYGavDEL0Jze5kFyqvLo8lNRdV9Y3Z6eedZpPT7Q30QyiaIz8Xgvny5zvK6fnhL5fHYcThm8m8OvHAWd9QROaNbUj0lWFJfC5QKBDo5uVj9lHHtJDFQrMkj29vPOD2NFdccQVOOukkDBo0CDU1NbjppptgMplw1llnITc3F5MnT8aMGTOQn58Pl8uFSy65BFVVVTjiiCMAAL/5zW8watQonH322bjrrrtQV1eH66+/HlOnTo1vN02ZMgUPPvggrrrqKpx33nl4++238eyzz+LVV1/tVV3T1lDpz7RZndiY17n0NWPcJByePQclHa1ofd2Bje5StNnoLwOGYXpGsb8Vf5u5DLn1iS/YjlIThtbVYfHsR/CH2yajMY92me1vLD7mYQDAQ13Srp/+PK7f8f8T/3oxmvNpN3omjRGa2sf/x5bXC7Zt24azzjoLzc3NKCoqwlFHHYWPPvoIRUWdxt29994LXdcxYcIEhEIhjBs3Dg89lJiFJpMJr7zyCi666CJUVVUhKysLkyZNwi233BLPM2TIELz66qu4/PLLMXfuXAwcOBCPPfZYr1yTATZUdgtRkxnXHH0OckP++MpJfXYezv9/09Bmc0pxVBiG6R1elx1bhhSgxAgAnQ4GuP2eE3D7lc9jfXkxPNnpJQbcndQXK5YjGWYXLF26dJfv2+12zJs3D/PmzVPmGTRoEP7973/vspxjjjkGn3/++Y+q4074G3M3ETWZk7Z3AEh/727MsWg86NzX8y8BAPxm/G3wOeWgcwzTn4haTLh91m9R6m/DhMIpAIA2WHH9/N/hI/8QRCyZM78nvvtnAEDOligWTHocQOKk76byLExrOI2NlX6IELuOB/djystUWEyboZhjUdzz7yfwxLIHUNLuiac/8M4juOPDp2COsfiO6d9ELSZ4urkgewqzMspIAQCLI4xCnwdXXZPY139i/s8QGKhhUE0j5l/9NApaiCjDDJMhpO0dbbR4YGgJIaMI04JCc4csmtNDyeI0uz0hyIrZNMS6qN/sdQrFaFQWcRlWes/b1iKL4SjhnSpMNIW9mW5vzCqL06I2eW+y0O9DebMX+d4A/vavxTgUNwAA3P4ghAkw22Jodyf6194qt1dz0uJBSzsRQj9M9JeJ3jM1UV2u+DWg2+S+PXHgV2TeX2V/J6XZNToMuK1STl+29VAprR50LA5KBKrCHJL7RhWOnRLfxZz0bWptlhV9WogWZhpOQsRJ/AoXOj1mwXJ57qvmsyCSI4qQJlRePUiX++335VKaZiHmbQstgM6ul9tGhUdXpWuE0BkANOLYggghKAYAU5g48qOFvs/WtyWEoGbEsL6iGNihDV+xz75Ye18+brv0JXxbVopNRiEinuRrZhNzVHkMADHuKiEodTxAaCB90ngwTy7XLw8jQoV0vQ7af4uUdnYZHdW0MSrP0eej8j0NABuKEs/Rrp7dQpfnZDSH6AfFfWK0JxuMhlDF2kdahNDvL6StocL8NJqcLozwdoZDRnsivQQNnX//Azhw2r19UrdUo0cMOD1hoIue0NoQRcRtAuhYRwzTr4haTLjjpl/j3PCkeCC7JkcOZs47BSs7hu6VcVS0sAGbJ4ZgccJwcjaEEHRbYFj7wWZBH4tp+xN73+xmMgo9YuD0GavhXBdDZU0jAGD5myNxyOTN8O1nw8aHCiCIQxAZpr8RtZjQ6kpemmotzEIkuPc9xrWwgapLN8H8nYbS7a0AgEdeOQb/d9EatOybhdfvHdU/jBWmR+x9M3wv4thzbsX8Fx9FnjcYj477WfYIXPG7iWjIcfdt5VKE0xNG0YZ22GoSaQf+qQaObZ1LyWZPDJFinuYMk0nYPDHkrgtA2564t8f/+Uvkbu/cV7Z7IvAXp/dyqibUsaZ+bHmZCpucGUqh34sn/jUXw71b0epK7B/v17EVi16Zi+JwSx/WLnW0ZOXi0XnHYltZYj/f2GZD00AXVj4+jI0UhslAPNk5eO3Rg9BQnhdPM283oWZAPp6dPybtjRSmd/BTPEPx2JzYUNAZdO6iky8AnuxM35ZTgJoCFzz2zAg6d/uY5wAA13RJK0EDsA3Ar4GVmwf3RbUYhtmNnHPQB1JaCRqA7QBOBOZ9e8wer1OvYTFtj0lfQyUWA7SEB4MpP4/OZhCqf0Pr9ndiBK3eKIxgF4W5wvk85pItcnudj8gJGESoaUF4vNibFZ4ehNeAKnw15TUQccjXiuhmXPOrc+AO+dFmycKhk+cAAC4JnAePzQkRMcHUxbNBo5xFFNIOqm0xs7w4FyO8kQAgWCinmxTi+Owc2UXIqe9CSd+Nn9tkDwUAqDDJnkMNJXKcm2eb6fgUkRY5oFhWHT2Xwlly39iaFeH222RPHpOF9goRJrlcw0XPG8qDg/q8irBLrkNHGf15nZjmoXy63JiNOF4grAhrX0eMpXzrwNpOf97aRnhUKX54k14wCq+faDY9xygMYihtHrq+9atKpbTtTrkOthZ6HOwtxHPF0XNPLSrcPwBE7XJ9vfuQWRHNlesgHPLDZvQ+28jPX1nxHyktS+HJ15WmHR5A+7oayfc3OQrj/zd1uQ9iDoFYN08yYabmKH1Pat1c4zVBTNB4wSym7Sm89ZPBRE1mNHULMtfkdGVUsLd7//P/sG1AIeqRcFPfNqAMHchC60AXUM/xYhgm01i5YhiaB7qS7vvvygajA1moLi9CdqMi7ATTL2FDhenXGKUxBPbTERmQ+OXifcoGa2UIlpFhIE9xkBzDMP0WW1kI+ogIzAMTBsmLCw5AaCDg388Ev1txmGg6kWanJ6czmfPTmtkrMaw6XppzEPQ6E3BCZ1q0XMf25/MRy9MxROWaHBbQWw105GRjv+HfAwBufOn/EC0DYsTp0AzDpA/CqmHTQ4UI1dqAozvT2kvtWPTkL+B3W8kT3pn+CxsqTL/HsOowKgU2VJfF02KKqLoAgLBA/hQPLGujCDyREBVPnvIBOvYzY/HdY9hYYZg0R1g1WAeFsXpzJQDglfaD0OGkI+SmJSym7TFpa6hozixoepflO5tiKU8jRG/dwohrWuJLx+yLwBxMiLGEQqioB2RtgyCuBQAGISSlwpvHiDDmAC1qtHhDZF4TESLd0kGXG8wnwvgTQjgACLnldKuXzApALlcnRL6kQBeAs04WmHVU0IaBf6MsZn3JeSCZN7fCL6X9zLFZSjPXx1D5nRXGVhMcZyf62V4DCEQhakyIVHbWRzcpGkFAiZoBwNkolxHJoW+9mCNbStMJsTUAmD3yHDEcChE2MR+jebIgWBX63V8kj09YcQ5e2E0cp+Cg26BFiT4z6H60tMl1MBNSBPKIBgBRp1yuSn/oLyIE8grb1dkoPytiNjqzJSDfJ3nraB2Vt1KuA6Ujp46/6EyXy41k0887qr2hXLpzAqVyG4xB8vwCgJ8PqpbSim3tUpqLGkgAjTHiIFcT/WDyx+TvCG+ENlzsjkRH2k1dnArcYWixbmJdj1yuSoStZSffv5oRAjx0XjZUek7aGioMs7uIlpiQu3XHw66Ls0EJGoAaACcDMz7/fZ/UjWEYhkmG17cZhmGY3Y4pEoO7KXnV09UYgCnS81XLjGKne3IqXxkKr6gweyVb3x0C19nNCG61x48X+KZsCJbMOxRtpZkRDI9h0gVTJIYZ172Fiu9bMO+RY9FaloW8Wh8u/fPbqB2Wi2X3HM66MEYJzwxmr8NcH0PZpK1wbW2HvSKxN15Z24DLLn0d+R2evqscw2QY0YAVS49+DD9/fzNyamK49M9vY+iaRlz657dRtL0DZRvaOk8/38vYedZPKl+ZChsqzF5HLE9HbLgFsUEmeJ8qiKc3lWehbp9c+N18TkiqsESjKGrr1AMZIQuqp1yJ6ilXwuTL3GVqRk19aQ6KtndgxuS3ULS9A40DsnH/w8ehvagfeeswe5y03frRrGZoehdvlii9j6lFiRDNCu8cANB8QeiBhKo7Uix7WQCAyStb+Joi3L6lsUNOJPKaA/SvBmGXvXZU3kjUNqStUfZ2AQDDnCWl2Ygw4p15CY8IIlR+5xtyEuWZEsynp5fFL+e1N9LXEppsS2//vIzICdzvP1ZK++WA78m8g/7aBIcnDF+hHXd89VsAwKz1J6A9145oyATscKjRdcXPFMLEF4q7iQy9rviJQIZuV3j9UGWY/LQHSbRA9vAxCG8zfwndCCoEfrCCDmWeXdh51IQlEsOcu5dh2JZGzJhzOmrLC+La5YefeQKzZ/0a3zcVSZ8XAcUxAITbjYlyjlNM2xDhpUSF+1elq+6HYIzwgvvhKO9xbG30+OZsk595pqCc19KuaoScRB2FAACEwwza96GfufZy+SiR60bLoe5DfjtyTX4ETQ68sCPt61sqUHJhp9dPFvzYMKcIVSM34jP/YPJa//XuJ6Vt8dPnMdT5ZA8hl432JopGE50T7TKvjIgJRrfvFLNP7siUmNns9dNjftKKyp133glN0zB9+vR4WjAYxNSpU1FQUIDs7GxMmDAB9fX1P7WeDJNSDIsOX7dfca2FWYgqDESm9+S2+zFsSyMK6kOYPeNl7LsmcWJ38eYAshpiMEI9PyeH6V9ccPC7+P3oT3DOmBXxtN9duArZ8CEbncbOgVdug71m79v2YXrHjzZUVq1ahYcffhgHHpgc0+Lyyy/Hyy+/jGXLlmHFihWoqanBqaee+pMryjBM/6IpPwfn3XYOsuHDfvU1eOLGBfH3Dm7YgFfOnYutF1zRhzVk+hJfpQVZ1RGMmbiZz+ZhdsmP2vrp6OjAxIkT8eijj+K2226Lp7e1teHxxx/HkiVLcNxxxwEAFi5ciJEjR+Kjjz7CEUcckZpaMwzTL6gtUkSFYzKeR9cc07n143fEV1W+HzAA3ywsRKjMio89gzFm4mZ07GfvH2fzpBgNqRXAZrLq60cZKlOnTsX48eMxduzYJENl9erViEQiGDt2bDxtxIgRqKysxMqVK0lDJRQKIRRKbDR7vcpwqAzD9DPKGtvwfPFAVDS0woesuCv4+IeuQOtAK7bW03oDpv9jcwZhNyVHrP3yqWKYB0VgRwBBpxUfPTMEYbcJRpT9Ohg1vTZUli5dis8++wyrVq2S3qurq4PVaoXb7U5KLykpQV1dHVne7NmzcfPNN8tvGAJAF1GTQshKCWeFzaT8O5aXhajjh5VugvDp1zvosPYgRIlUaH/DSne3HuqF8s7e8yFzbJdFb4YijH+wUP5FQ4pAAZgDsqAvZpX7wN5Ki/GoUOTWDlpQqBMPMHNAcQyAL09K+7fnALoORNMcOfL4hlpkESoAmLPkAsI5CrElcZQBJZoFAM2Qy9XdtG7G2i6PJSW2BICogzhOwSn3rSpMvEFNO4XQ+JDSTsmsu8mPG2a9ipKGdjQOyMbj140BLu7M8+CtT+GRhb/AB0P2kT5fXUcbL1T4dy1G3GeKW0QQUz9qo9vgHyD3o6NOcdxGRK5D9nZ67lvb5Xs9qjr2gLjPTCHi3lOE6wcxxwyFIDhMHKEBFy3SPXXY/6Q0i0bnHWpugd+cuIfKytrxdbSLgHrHUG8J0mP+RXO5lFbklJ9rANAWkD2HdMWShTs7YUDZTYm6a2YDGpL7WFjkMqxNdJ/H6pL1mDGxi2d7qoO0ccC3TrZu3YrLLrsMb775Juz21LiTzZw5EzNmzIj/7fV6UVFRkZKyGYbpO9pzbdg2tNN4fPDhY9HgTnwZ1e3jgs9tBQiHOSazcDoD+GrLgEQCy1E6Ya+fHtMrQ2X16tVoaGjAoYceGk+LxWJ477338OCDD+L1119HOByGx+NJWlWpr69HaWkpWabNZoPNxnErGCbTiFlMuP+OY5HTFgLKNFgQwtTVf4CrMYCn3Ycixh5WDMP0gF4ZKscffzy+/PLLpLQ//elPGDFiBK6++mpUVFTAYrFg+fLlmDBhAgBg7dq1qK6uRlVVVepqzTBMvyBmMcFT6IQbiaV2bxG9ncYwexW8otJjemWo5OTk4IADkvf8s7KyUFBQEE+fPHkyZsyYgfz8fLhcLlxyySWoqqpijx+GYdIaSzQKd8CPxpxE4LCiNi88WU5EzGkbG7PPMUUM2BsiCBYnRED2hgjCbhOQZs485kgMud4Aat0Jb7T8FlrzwqQPKb/77r33Xui6jgkTJiAUCmHcuHF46KGHel2OCIUgugqhYrQ4rflgORqhoyU5r7AlbiCha0lCRlOHItgQoUk0HIrgVIRw1tQkey/pBr3FRUWh1dsDRE7A6iWi0IYVgi2LPLyGXRacAoBGdK+lgxbIURE6LT4qlCddLSoKrlURfNUUISL8BmnRGBVB0tJB93nHYKLBhJi2pLJFzgegHrL4LxxWiS2peik6h5hLIQfd3qhNTtejdLn2Frm9VF49quhbYjqGFGLaIqssPPlFzgYyr4WYeNsa6Tlqa5HrRtUrppDPBXLk+kYLO+8dSzSKe+cvRsW2doxq2tpZ5+m34OknH8K6klJcetY5iFkVUV2JcYhk0WJLPSKXYQ4oIssS94S5XZ6j0WzaGqCE2WYHXS+hE84DFvqmDHVRK5siBv5w5ccYtqkB3zxdgvAAM6zboxh1Vj38+1nQusAFWJP7p8Asz49AjH62hqNyfzX46Gjidovcj75wolxzJIbrbn8dv/20Uwx8wLKbMcDbhAdv+ydwxj0AABE0QXSLTGvyy+Nra6Xnvp6Tk/y3CAOtZNaUn8+TyWf9/GRD5d1330362263Y968eZg3b95PLZphGGaPkNfhx/Dt9ShsSig9H3/iMVS2NgMA3H4/mh0cE6Y7Tk8IpRvbYN/WaZxsmFOAYTOaYa/uNBq8rQZiJemhRXK3BzC0uin+94HfbcOd857DQOK4lD0Cb/30GHZeZxhmr6fOUYDTL5uK7woGxtPyW4P4Lq8CZ51zKRpd8sotA7QXOTD/kWPQPNAFR3UEo0+rQ6zaimClGd88XZI2RkosaEG9Mw8XXXt2PO3eG/6F/Low1hXTZ4cx6QNvvDIMs9ez7eIZ2AbgcNwSTytBQ+ey/X3AsDvm9FXV0h5PmRMb7ywA/phI2zCnAOEBZgD0lv2e5svTZklpO4MPOhuAPlGp8IpKj+EVFYZhGOZHEQnY4NwUQ+nViS0zH7JQNj2A2AY+cJJJDWyoMAyzR9DCBrDFjN/vuxq/33c1gn47XI0BmCJ9/6v7kDtm4ZvCCtSjOJ622j0CHcjCt3mVKOKjPUge+MVTuO3U5zFoe008rQQNKNzWhqPGroepvu/HFgBGPzcLxz56JT4r2jee9vsbpuG74gFoQNEuPrn72CmmTeUrU0nfrR+LBdC7WORE6GgA8A2UFdmxbiH0o13Cu4dzLQh38QowKcJPm4LyDWYK0up8g/AG0LKdclqIFm1R6vyunkpJef1yWEeRRcelMLKIkNJhug22VsLbQ3VsAXFkgEEcOaAygw0i3L6m8PqhQn6bAyqPGTk9kk17sZgCRB2Iz++X10B+fv98+UiIdz9UhOsn+iGm8OShwr/rCqeQKFFG7ia6I2OEt4fZJ89xyiMLAPQwkR6g9QeeiDz3t3bk43cz/gfHukT9Wrdk4dKL30bdMBeeursKsR1zSNPpNhjELWHyyGMWsyvGPESkt3QW6tc0bCvOBWLeuJfGRRefhWcffgBby1xoLHbA0kgWC1NQroOjifbEo46aoI4BAQCN8KoyenGEBrUVEM6mb0oqAn7MT19ra4D2yqJ4xnwoDG/yNb/ukDUh3jD9DPMHZa+9SJiuV0627AI2ILdtx5uA2R1D6z5WYMc4frrvQFww60wsvvsZZO3Ib68zo3vUe504OcXZpDDAuruxG4oHG9Mr0tdQYRgmY9DrTHCsM2DZnvjSOmHKWthrBHKMKJyeENr7MBBcxGzGJWefgxxPBPhrZ1ptnhunTZ8aj6PCGxky/7f8EpgiMRzoa8CNE54DAFz97kTk+doQcFvoHzB9RNRiwt+u+w1wUiKtttCNSddPwtt9USE+66fHsKHCMMxu5/ITXsPl3dL2q9nS+Z8a4Iqi0/d4nboTMZvRUmjG0LvnILbjsMJGG3v77AqzIww4gEheYvnG6ggiUgCY0YvDVvcUrhhOWHEp1tcntnua3Dm7+MBuhMW0PSZ9zF2GYRiGYZhu8IoKw/QAUySGnLYQPIUJ/UVukx8duTY+XK8H3L7qd8iuDeKEKWvjKyn1KEawHHh83lHwg/uwP2N1hnDrlyf2dTX6FRyZtuekraGi6Tq0LmGdYx20p3ugQl5eNMzJu8nCkti7C+TrCHYJde5oAgkl+DQF6KVMLSoLpgwirLWZEMICAIKyyFZk92K/ngiVDwAaceyApjgygGoDFc4dAKI5ssCNEhpHnXS9qHD7XY81+MF6KfKawsQ4KM5o8Q+Qy/j5gGop7dCcauhhA7+d+SXs6wQGbu+cMHf86yT8eerbaBjmwrP3HN4pBC0mVHcAYrWyqDlQpHiqEALKmIsW7plb5bZpBv2F72iUy7V45XGweWjlboQ4PiKUT1/ro+2DpDSTKYrbLlqBnJpE+R2lJgytqcOFF7+Ni+f8Ac0FnaHRo0FaDeIgbh9KfGwlBLYAYCZOn4g6FfPOII6J8CqOJ2iT5525XRHtNEd+LliaiIoBEESfxwgxraWe9kiKlMjbVtYOWtypb5PTwnn0vbM6q1JK+z63gMxb6JSf2x1h+flhjwksP+FuAMDx/7myc0sJQI5THvTGdjpCsNeQn5ntPvo8hVh7om9NXb4v7M2A6DZ0VmLcrYr7RPiS2yu6F8b8KHjrh2F+AHtbBAUbfHBvT3gV/PGij5C/zY/iDV44PPww+iE6cu3YOjQP9aWJL8/b7zkB28ty8f3gIrS5+ERlRqagpQPmNHBf3y2I3fDKUNJ2RYVh0oXWrFw8/dAvMPbP64Ed4SJsNRq2lhfiH/OOQLCI7f0fImox4Z7bfo3stiAmFE4BALTBiovn/AFtLgeivH22VxILdK5maKGEMZK3NYzWCiuKGtpx99XPYOPgIlw98/8yb46kOvYJGyoMs/dy9eGvSGklaOg0Wk4Gbvzi5D1fqX5I1GKCpzArKW3ndg+zd/LRybdLac9dODf+/6fxMAAgtz2A5nyeK3srbKgwDMMwacm2Ujf+fOcfMtNIYffkHsNr1gzzAzzw2q+xbUBhUnj178oGowNZqC4vQnajQiTNMMwuOeJf1+GIf12HY164Lp5Wj2J0IAsdyMJNfzkJ9cW0eJbZe0jfFRWrOSmEvqmQVpVrVlnFHipJVmTrXcKCR3I0hLuEAxcave+ZVSerug27Iqw9IfYytcpKfmFW7LE6ZBW8CkGF5g/Q3iZahPCuUVxLI0LrK8P4EyH/SQ8hhXdOKI/wZrCoQsrL6ULRjSZC0xqz0uXaWuT0DzYNldJ8FVaY7TGMGbIeBbEQsCNy/p13H4/ZVz2H2qHZWKUPQtRrgogpws8T3SWoRABamWz0ZO/wgDCCFnx35vUAgBFLbwPlKxJr7fmYRXLk29/WSnu25WwjOleTPVgAoE3I3iafb+x54DSrwu6jvHlMYSJNEWcsRlSX8ugAAHOICF9PHOcAACYirzDTvwEtbcS9qshLBRq11HrkeuXIzwQVlnZamBq1y3WwNyju36h8veZc2rum0eGW0nSn/KyJBRKDkwUfsnbM7hvvehVnzbwANQWJckwt9NdWjIjsrymOebA3JdLtXbwmtbCA3m1OUZ5SqiM/9IL85L+NEMgbFeAVlV7AKyoM8wPsFILePHd8PK25JBvXPXQy/nbrr3e7yM8SiaGwpT0praC1A5ao4hAghulnFLYlXKyri/Ix4YY/Y0txPgY1tuDp2Y+iyMOHQu7NsKHCMD0gajHBN9CMCR9MwYQPpsDsCKO1MGv3GynRKG6/8xU8fM2zKNqeWGq4/8Z/Ys68f8Lky9zzPZi9h/YCC944dBQ2Fxdg8rV/wOr9BuGsmedjS1E+1g0sgYdYSe7v8OnJPSd9t34YhoG7PYATV6/p/OMvifTDGtd1ngJ7GVD52F19UTWGSRkRsxkXX3IW3B1+NLo7twlrCt047fo/w5PdeSgks/fCo88waUxjXh8dmMYwe5iI2Rw3UnbS/W9m7yR9DZWYAYiEYslo7yCziZC8e6VFk5fDNST+9pULBCKJNTJdIbzzl8miRNcmepk/Z0tASovlyUuVlMAWABCWK6ESyAq7rAhUhp+n0k2K3T5CDGtY6faaiXZECrKktKAiBHc4W75WxKUQ0xJVUAkgKWGlo4kWD4bcRPj57+UxW9W6D/l5mOVrmRUiP3KOKcYsSghyhzxxJw5eV40Ftz/XGb8FwElXXo7PK3aEqu/ymRitaYROyFksPrlvok5FCP7qdinNFVOElCdC+8ds9LyjBK4RRVh7KlQ9WaZCmG1vkdtrDtDzQ4sSIl3FERrU/afFVGpL4nkVoCMbm3zU8RHE0R4e+tmoh2ThfJR4LgGArY2oFyWaB2Dxy3nDXnp8wy45Xejy/DAU/gRWj9y3gRLFMQBe4v5T7IxqETqLMGswuh2fQImaBSHyBwARTH5uC2MXUatZTNtjWKPCMGnOgI5G3PfYUmQhcY7IXU8sw0BfA3SbwtJmGIbJENhQYZg0pqjVi8W3LERlfSu2Fif8LysaWrH0nodR3MbeEAzTH2Exbc9J360fhmHgyXFiXUUJAOCCG8/APoW3oqzJg+ZbbFhbWorWrMzzhmCYvYYMNi5SCRsqDJPGRMxmXHL57+FuD8SFtbWFbpxx8/lojOWxNwTDMBkPP+UYJs2JmM2S909jXg4iHr59GabfwmLaHpO2TzoRCELoCXW3ZqXDddvqZO+cUFmywFCYE+XYhrXDiCXeDwbpkONhr3w9PUJ3l9AdUlpWrSxyNCk8UKgQ2Loq3D7lTUCFrwcgTHIZRhYtrzfVe+Q6EB4GABDNldsbc8jXMkXoOyeUJ5dLROXuzFsk91nIR9fL2CanZ2+n6+Cqlsu1tMufjzlUYy6nmYL0tQwijL+qvfoGuW9DxfS8sTcQfa4IP28Q09wUksu1b6c90wy73A/mDtqjwdoge6GEymg3a5OfCKeu6POYQ+50q0e+z1RecOY22Tsvkk8PhMlPtE3hyGNqlztd2BQeYK1tcqJQfMMQ6eQRGFGF55JfrpfuoJ93tqDcj3qYdiEL5crPRnsT3QZbi5xG3TtRhadXhDiL0FGvkFYSVQjn0vUSFvr/0Swg2q15McLzSG/pmQcakxrS1lBhGIZhmEwl1QJYFtMyDMMwDJM6eOunx7B7MsMwDMMwaQuvqDAMwzDMHoa3fnpO2hoqmtUKTU+omkRAFsIBgKNRTgu7k0WGmjmxcKTrBvQuofnPPeAjstw1bQOltM9idDh1SrRq9clp2sA8KQ0A9IgszKLEi515ZeGcToj5AFrQp3vpfhROWTinRYi46wAsW+Vw6qZ8WSwZHao4p4PQzRk2+i4z20JwNUfw+TWzAAADF8xBSaANHqd8UFmECM0fzqEXDa3tcp+7N8rHFkQJkTAAhPLkdCpEOwAECuS8Ng+ZFaFcub56WHGUAaF7dTTRIj+LX+5fCyF6FVbFvAvKc0Hz+oicgFEgj7vFSwtvdUK0aiJCtAOAIE6qJsPXq46U8MvjayXup86KEaHfTYpyQ3IbtKDiCAxKDKsQw1NiWPKoi1xCcQpAI8S4mqK9sRz5/jcF6PvfvVEuV3WfGMRxBlQ/Bg16zM3E4ypmUxw/IevQIYijLgAgOCgxZloXZ4tAsYFAtNs9RNTN4qfvE6s09/h081TAWz870CMGLNXATaNfxk2jX0Y0YEVekw9m1YOM2e1YolE8NG8xFv/t8XhaWbMHzz4wDw8+8RQsUfpByjAMk/aI3fDKUNhQQaeRcvqM1fjjBYnVlYL6Dtx+8b9wxQ1vsrHSR+R4IqjY1o6CpsSv0/lznkFhcwADa71w+xWHPDIMwzAZAxsqAEy1OpzrYrDVJJbp/vKXd5FTE0XhhiBy2hTBKZjdyidzrsOopq3xE4MB4PDmtciGD6NaqtHo4iPgGYbpp/CKSo9hQwXAteNfRmVNY9IX4uj6jciGD/vU1aK1MKsPa8cwDMNkGul0KOGdd94JTdMwffr0eNoxxxwDTdOSXlOmTEn6XHV1NcaPHw+n04ni4mJceeWViHbbkn/33Xdx6KGHwmazYdiwYVi0aFGv65e2YlqGGTrrfhRYmjB/zjM4vHktAKAexWjOt+O8CyajHrSIkGEYhukZq1atwsMPP4wDDzxQeu+CCy7ALbfcEv/b6UxEco7FYhg/fjxKS0vx4Ycfora2Fueccw4sFgvuuOMOAMCmTZswfvx4TJkyBYsXL8by5ctx/vnno6ysDOPGjetxHdPWUBF+P4SWsMy0XHqZ306EMo7UJi8UOSyJvwN+GwKxxN9bAgU4e8WFyKv34cJLP8QBdZsAdH4hdpTquHPOCfDqO2IsZ9HizahTXpjyFcsq+AiRDwAsfrkNmkIWk7XRI6UJOx0WW+uuXgegKcJtC7scFltrpzUglOcC5S0iFN4Mlg7Z9A8VyPmKIy1Yev9DKGxJSP+b8+wY2bIVSx97AL+fOi1p+8feKJfraKbHTCfC+2sxOU0n0gDA0UCEHFflbZbTNIPOG7PIY2mVnaw6IYpw1sv1AuhfW9F8eaVQDyvCsQfkuUB59wC0V4feofBMI+YNNW8BhccKMcco7yAAEHbC40blyVPTJKflKbYaKQ8hG31Poskjl2ul8wpCLE568oTpMQd1hEYevTps2SK7T8ZKaS9FjTjGQ4sqvPaIYwuoIzhMIfqryDATx08QRykAQChXzusbRNdLM3WmW6JRFHV5zsVyDBQ0taI1O+FVGPYTc0zlqeVI9p7SjF14/aRBwLeOjg5MnDgRjz76KG677TbpfafTidLSUvKzb7zxBr755hu89dZbKCkpwcEHH4xbb70VV199NWbNmgWr1YoFCxZgyJAhuOeeewAAI0eOxPvvv4977723V4YKb/0AKPR5cN3lL2FwXWLrp6NUx9C6etx6xfNwN7Fosy/wOJ1YV1qK6ryEFXPeeedjS0EB1pWWwuNUHJjDMAzzA1iiUTz0wNNY/NeF8bSyllY8d9d8PLRgcb/1KvR6vUmvUIh2lQeAqVOnYvz48Rg7diz5/uLFi1FYWIgDDjgAM2fOhL+LA8PKlSsxevRolJSUxNPGjRuH/9/emYdJVVz9/3vv7X1menoWZoNhGFE2hbi+OMbEDUUlxkTUxA0UlKC4QRSCLwiKe4K4gGgiL2gibvlpXhWjAhHeGMEVIkFBdhhm37pnpvd77++PkZ7uqVPYLQM0w/k8Tz9Pd3XdulV1696urvqec3w+HzZu3BjL07XskSNHYs2aNSm1KW1XVA4lbdl27O2fA48RAqo70h55/CLMuev/Yc8xuWjNpgP5MQeXiMWC264dA4/fj2PcjwMA6pCJKyfdSvpRYRiGSRZPmx8DKmvRN26174WnFqNvfUckxZw2P+o8B1Gwf5BWVEpLSxOSZ82ahdmzZwvZX3nlFXz55Zf47LPPyOKuvvpqlJWVoaSkBF999RWmTZuGzZs344033gAA1NTUJExSAMQ+19TU7DePz+dDIBCA00k4vyHgJz0A3aph4cNnIdMbwrj86wEAvqgNs579OVqz7dAlS8nMwSdisQjWPWztwzDMgVLvceOq6TfilSeXou93aX3rm7CrVy5+/dsJB3eSgoPnmXbPnj1wxz0j7Xbxj/aePXtwxx13YPny5XA46CjZEyZMiL0fOnQoiouLcd5552Hbtm3o3592fnqw4K2f79CtGrz5iVsJLfkunqQwDMP0UKryPfjduF8mpE0Z9ytU5dH6nCMBt9ud8KImKl988QXq6upw8sknw2KxwGKxYPXq1XjqqadgsVig66IebPjw4QCArVu3AgCKiopQW1ubkGff5326Flket9ud9GoKkMYrKqauw4xTlMokSVm7RJFe1JHYAQ5b57TVutmJaKRTvLYiMJgs1+IU9yfNID1p0YmdoUCBWOO2UjEfANhbxMuQtZsWNfqGiDeQzUfndewVVZhGlmRwUEJQwq0+ABiZYoPVgCjoszfTIr9IhijctTfQc+ZwtlgvCyFuA0D+PVFDtDBTI9ItreJersVH/+WJusW+0e10G9QwXQcKh1fMqwWTb4NhlYQMaBBFjUqYEGtKhKyUaFX10i70QQg+TQt976iUG35JXtMujhtoRHujkvFBiXxlbaDOJROit4saNiUgCQNACHINJ3EuAEqACDvQTviUl9SLQmsSwyYAtJieuqdlKEQYEIC+TzQibIIakhgqZIn10kISt/ge8TlqbZE8V6wdeUuamvHI828CM5+Kfff44ldwzczxqMr3AACMZrFc3SYZY11DJxh06AgAh1VMe95552HDhg0JaTfccAMGDRqEadOmQSOE2OvXrwcAFBcXAwAqKirw4IMPoq6uDgUFBQCA5cuXw+12Y8iQIbE87777bkI5y5cvR0VFRfKVRYorKrNnzxbsqgcNGhT7PhgMYtKkScjLy0NmZiZGjx4tzKYYhmEY5nBT4PXhlbnPoW9DUyxtd0EOyuqa8dKcRejVLDO3O/LJysrCCSeckPDKyMhAXl4eTjjhBGzbtg1z5szBF198gZ07d+Ktt97CmDFj8NOf/jRmxnzBBRdgyJAhuO666/Dvf/8b77//PmbMmIFJkybFVnEmTpyI7du3Y+rUqdi0aROeeeYZvPbaa5g8eXJK9U156+f4449HdXV17PXRRx/Fvps8eTLefvttvP7661i9ejWqqqpw2WWXpXoKhmEYhjmoNGe4sLl3EXbn58bSxk0bg10FOfi2tBAtstXnbiKdHL51xWazYcWKFbjgggswaNAg/Pa3v8Xo0aPx9ttvx/JomoZ33nkHmqahoqIC1157LcaMGZPgd6W8vBzLli3D8uXL8aMf/Qhz587F888/n5JpMvADtn4sFgtpV+31erFo0SIsXboU5557LgBg8eLFGDx4MNauXYvTTz891VMxDMMwzEEhYrHglgnXojgcwT+/S6vO8+DK2RPQkuU8+FaFaeBHJZ5Vq1bF3peWlmL16tXfe0xZWZmwtdOVs88+G+vWrTuguqW8orJlyxaUlJTgmGOOwTXXXIPdu3cD6BDnRCKRBJvpQYMGoW/fvvu1mQ6FQoLdN8MwDMMcbEirwpwsdn2QZqR0NYYPH44lS5Zg4MCBqK6uxn333Yef/OQn+M9//oOamhrYbDZ4PJ6EYwoLC2M21RQPP/ww7rvvPiFdzfFAVeNEmxLnO5ZmUciWvT1x/uVwdAq93NsN2OJEiPZGWsgWzibEZS56ymoQjiXDOYTQ0UYfH+4lpuuEx04AsBLav1yJmFYnRKuUOA0A7JVeMZESKoL24Eqdy9pMCP8AZKiUEI32zqmFxTrYW+h+pDz8RjOSt9rSCAGkSdaVFq1a2ukxatjFOsjKpQTIWrtE1EiUQV0bQOLVlcDIoH0GaZWi51LTTYcwULoKCgEoIboNZqso7lQyJI78Mon0ECHMbKb/7JiUyDdfYt2xp1pMI6wnAADZYj/I/twqflH8r/gkAtcg4c3Xky2mRehxZ1oJr78B2vkX6R23iXgmADDyPEKa2kbf66QnXSKvkUOPJZUQd2sBur12H3Wv0/eZGScWtcbdy/aNThiRxL4wicegYZFc4a4THGM/912araikMylNVC666KLY+2HDhmH48OEoKyvDa6+9lpKpUTzTp0/HlClTYp99Pp/gsIZhGIZhmKOTA/Kj4vF4MGDAAGzduhVFRUUIh8NoaWlJyFNbWyuNFQB0OKPpavfNMAzDMD0Z5SC8eioHNFFpa2vDtm3bUFxcjFNOOQVWqxUrV66Mfb9582bs3r07ZZtphmEYhmEYIMWtn7vuuguXXHIJysrKUFVVhVmzZkHTNFx11VXIzs7G+PHjMWXKFOTm5sLtduO2225DRUUFW/wwDMMwTDysUUmalCYqlZWVuOqqq9DY2IhevXrhzDPPxNq1a9GrVy8AwLx586CqKkaPHo1QKISRI0fimWeeOSgVZxiGYZgjlYMV66cnktJE5ZVXXtnv9w6HAwsWLMCCBQsOqFIAOtxCq53qbjO8H1fEXbDVJarorc5OFXf21nbYg50WCPZCWgQcdYq7YoFceqesvY+YZhkgejU8rWQ3ebxKTIU/L6IFxYH/eIS0Nh9tMeO0ifW1tUosSAi35aZFYvVDWHBohLtvU+IaXAuKqn1HE32urF2ilUIkkx621I0qc19v8YttiLhFqw7HzkbyeCBLPL8hsbghLB8MSd9SruoNu6S9xPkMyR1tbRYtS0wHEQqhhXYpb1KWPJSlCACEiTEmy0ulE/UCAKWxRayXTlxfybkUwi2+IYnlpRAWPoqkXqYqXktFYolDhgcgrHMAAFkZYhpVrizkAFVfwjW6DFkb1BYiNEeueD90fCFeH7JcIh8AaH4xr1ZPWyO5HGI/uiQGp/a4Z6bD3nkfWQKApcujjLIytLXR9e1qqWXuz4U+kzRsLM4wDMMwhxre+kkajp7MMAzDMEzawisqDMMwDHM46MGrIN0Jr6ikCVpEh6tSx5Lhi7Fk+GIYQSvym1phSdKjKMMwDHPkkM5BCdON9F1RsVsBtVP8phCCNQAwo8QPeVdBYrzgTlESvrc10WKnaIlDSHM00wKqtjKxbr2zRcHXoAxa2dVfqcEZt2+HdZOCfTZS1zo+xW9++w/UHevGa3NPhf6dm+clNWcKxweb6cto9xIugCQu1ikBpGJIhHfEtTAJ4a5CCGwBwEK5UydEpB0Fi/XVQvR1CHvEfpBEAYBCqE7VsDiWjExxHACASYgwDYvEXTfl6l4ivKWuDyU+BoBoZvJhC0goQa8pEaJmi2JJUyZapdpGuLoHQIs7KTEuAJMqoyhfTPPRgmBqLKkttPt6UpArCXtAicalYlpqnBNCZYAWK5ttYtuUbNpJptomhheR3mdEuplBGxoYWeI9IRNhG1li2ANK5KsQrvI70sV+NDy0u33qPpHdZ/EiW0dcc3K+jcLZ5flkEl2myp6jOV1CHOghQKbHZ5ImfScqRxFGtQ3WTQqUvZ0PpssmboC9GsgwonC2hNHWi/7BZBiGYY5AWEybNDxRSQOuGrFWSBtUvbPjTRVwb69LD22FGIZhGCZN4IkKwzAMwxxi2OFb8vBEJQ1Y/O8z4aqO4LRxe3FMVSUAoBYFCJWY+MvC0xFkzTPDMEzPgrd+koZ/AdMAT1srLr5pPQqqmmNpoRITpVUN+M2kfyCzPrifoxmGYRim55K2KypmIARTjZsihmhlPNoJFXyOJ/Gz1inbVuu9Ce7eFYmC3OIXlfxtvenuMggDgZIM0ernVNd28vgcmx+RgRoM0wJ0LKjgqafOw9Q7lqHqGA92u3KhhzusI6zZhCtzid/0cJY4D3XW0NNuI1tU56s+iQUJYWmltomWGqZLYjFDWXoQFhlSJIYLlDWQYaUzK4Rqn7IQMO0S1+9EXl3ijj2aIaZrQdrKQSdCN1hb6XJVylJCYo1AWV+Qf1NMyX8XwgJFoSzuIOkz6vwAlHZijMncvAeJCXtDi5hGuMrvOF68d/SSPDKruouw0ItK3O23E/efzHKJsGJRnDLLMrFcysKHygcAip/oL5kZHGGlZLrpa6a2i/1oZtBtIMNHuEVrIkXihsHUCIs5SV5LnTiWZPWyBTqvj9XROV5tzUEYwS5WP0Sf6S66z82q2sTPptyFPm/9JE/aTlSOJkybgm3P5MPSYuDTgjIAwOKGn2DuogvQnm2T/gAyDMMwTE+HJyppgmlTEClInJD48mk/BgzDMMwRDmtUkoY1KgzDMAzDpC28osIwDMMwhxpeUUma9J2oRKMJrtoNSnQHQMvLERMDXUVkchf6psw1P+EOXaJZRdQjCtGaQ6IQbWe4F3l8k54hpK1v7E3mNarE7SBVoteytYliy2gG3QgL4W1blbnbJsR7VD/q2fTWldYsnkxrp88VzRLdbYcIV/kAEHIT4uFmWngXzhYFnzavKIAMS0RzWkTsW0r4BwCBXFFjZPUnv5ipBWjhrRoinkySOlBQokS1jbYwM7IIAWRTK10u5WpeFjKAEjBnitccAJQI4Y6dEu5SruMBGAXis0L10nlRIIpslVZJXp0SNUvEocWiy3+l0UfmVaKUaJW4p5pE4T4AmPkeMU0mVE4BwyWKlan7tON81HNUTLMEk49pZvHShhWmjRofEgF0vBA9TgOoNbbCEkh8DkTzxfARtno6ZIDqTsyrGmFAEtGBxbTJw1s/DMMwDMOkLem7osIwDMMwPRXe+kkaXlFhGIZhGCZt4RUVhmEYhjnEKKZJOsQ7kPJ6KjxRYRiGYZhDDW/9JE3aTlQUmw2K2qkuV920q3tYCAuUQKKFkBnnRt3McMBUO1XeapA2mdFChJWDIVHMq+IIuaLocyGtyNJCHr66boCQtndvLpk3s0bcrcuskriUJqxFFNqAJFEF/x3RXNEaCQAsjW1Cmkm4WNe8Ehf8FrEfZVYDuoOwmGmnGxHIF/umcTA9xG2EwYpni1iuFqbP1V4k1ldmFRYoEK0cwkHaOsfWKo4lLUKPOypkgCnxYqxnENenXbRyMjJpl+NqK+Ge3Elfs1TCISg6YRVik1laifVViLFEPRM6zkXUS2LZRlr4EO7vAZBWcDI3/kp1g5BmekS3+ACgUG74q+vE4/uWkMerlAt9K31tSHf9Elf14VzxWRyWWOJRj8yIi7AQlISqsHvF+jqstGLB1ii2V/NJrNgIy6WOdAcMJbHSlupmIZ8sPAgcXe4JyfOWSQ3WqBxk1LABZZeKMQPW4oJjNiHgd8JWF4US7sHTX4ZhGGa/7DNP7s5XTyVtV1R6AmrYwE/v2ALrps5/bY6qCE67cTfaBtjx1fwSmLbk/V4wDMMwzNEGT1QOIma1BdZNCtS9nd084IZmmHutUAwN1hYd4QK+BAzDMEcdrFFJGv6VPIhcd/7HQlr53r0dbyqBDwoGHeIaMQzDMOkAe6ZNnrSdqJjBAEylU8ylOCTiJY2Q2eRkJ352dgq1FG87lECngFYvIlzwgxbehXLobZrMPFF4922wiMwbz5tNpwIAtnsJt9ptEhEoIS7T7XS9NMLTtO6kZUmGVRRG2glxGgCYDkL4RojGlBAhBgQQKcoWEyWiRsMu1rethO6b1nIxzZT8zTCIPvNGxXapdBNgElUIu+k2tPcTRZhKlM6rBsX2Zm+hr5kaJgSQEiGrQrj8D+WJ95S1lW5wlAiHoEjc4mutxLiRhWOgRNhNtEt5M1t0ZU66jydcxwOAQrnWl7n2p/rRST+DTOIZpEhc6CsZhJt3ShAMwKisFo8vLhDTIrTIlypXllfPEeulO+n7LJgvXrOIk76+wXwxPZRDhE2QqCWj9eIXpkYLb00LEUJjDz2W1PbOh6NidN4bakML1ECigYUpM+Sg6tDckvjZlMQ3YVIibScqPYGpa3+F7NoARk/8CoOqdwIAalEAf7GCBU+fg3bufoZhmKMT3vpJGrb6OYjktnsxcdJK9Kmuj6X5ixX0q67D1DuWwd0gMd9lGIZhGAYAT1QOKgGPDbXHutFU0rmsuuDpc1DfOxNV/T1oz6Zt+ZnuxRqNopcvcQm4V6sPVplfDIZhmIMMmycnD+89HER0q4pX554GZ0sYM3r9Ao3hTLTDgrmLLkB7tg26xDkX031Yo1E89ufXcemmzwAA/eY8hd7t9Vi6aCG2FBThjivHIiJxEMYwDMMcfvgJfZDRrSraeiWK8Hz5ojCROTh4/H4cV1sb+3zSrl2Y98YL6Nvc2PF9wI/6LNozKMMwzEGDNSpJk74TFaPLWpYmWX2grAm6uoOO+2x4MmHYOy0bVL9ElZ0tWsHYfPRIaGkVrQEqA6I1kcdKWB0AqGsRVeUWv8S1N2FMIFPcRx3i5dVT2G3K0iTWREHRgkTVibRM+mSaX7QskbnQNyyEi3XJqO1qOWCELdjbx43rbp8A3NeR9uzzf0YGAvgmrw/G/fY6VOW6AHRsAUWyxJ1QNSSxziF2jUKFtMVMrz4tQppu0OU2VYkWUZEs2sohkC/eE6bkNtFC4til+jacQ18zk7jPZOEFDKtoQWJtpvVYlCWOmSkeD9BWHUqEuH8lFkaU23Mjgx53WpMYJsJw0/VSaxqJAmThNojddokljtKnWEwLie01W2jLFiVLfK7ILIzUgDh2deL5AQD2JjFv+2C6H9t7E2OkV6fFjTUaRVZDBF/eNQcAUDr3SRQGG9GS4ULEYkGICB9hbZOFnxDT248hLAwBOCvbY+/NOPf9Rr4HRpe+oPpcSlcrsu8JJ9GTt2u6k/SdqDDMAbLzv28HAFTGpRXiu1gpjUDf3N8f+koxDAOgY5Ky4KmX0WdPG4agY6JS3NyM155dgG+Li3DL+OsA8PY4w2Ja5iimpEkMNnawsUR05DW1QQ9asf5nD2L9zx5ETnUYFkkAOIbpqWQ1RNBnTxvy6jtXWJ555mXkNwTRp8oHTzu9At1jMM3uf/VQeKLC9Fj6PfgUTnp4Nj7PGxhLu/j2qfg6vxRtyMArjz+HAi+9bH4wsER0PPrwm1h0159RWN953oX/vRS/f+QNnqwwRxVf3jUHQ+r3dK5yAji1aTMy0Y4hjXtQn83aMaYDnqgwPRbVFoUvz4q9JZ179V8NLsK4adeiId+BzSVFaCY8hR4sslsDKN7ejpyaMB679+1Yek5dBMU72pHVwBMVhjlaYPPk5ElfjYqmAUrn/qTZKorbAAB2UcSlRPUunzsFgmpLW4KLZDObdo+sEkJBVaKp0qrFOmzIE4VwfbJayOPLeolbENsaacsgfzEhLmul6xXKFdN0Oz2aTYuYHnXSIs6MWrFvHE2iIJASYAKAqRLpkmVLkxD0WlLwk2dkAb+9fTRwU8dnzRFFrScTs//0M7RmO3CCdU8sb1WbKLyrbyTctgOI6uIcP8NNhxz4UX5Vx5t8YGDdd7GeOn0AdvyjrANwE9B30aPC8ZEMsljYm8Q0wyoJRUAIZ/29xDYYkmjeloB4fRxNdF5ru5hu5tETQi1DFO9avHQ/Kn4xJoTiEa+ZKVsCJ8ajEpT40iFc4KvN9I1mFIjCeSoEBwCgQbzXFZl5PFFf0yH2FyWaBQAEif5y0KJXk6gvde8BtAt9SuQPABZiLIQzOtrb5+l5KG5qxsInX8WpTZsBdHjubsyzY+zt41BrzYSpEqFMsmViWnE8U8+l/aG2+gUX+hSmXWKV0NWQw6AF5x2FgK1+kiR9JyoM003omSbKX34wIa05X/LrzzDMIaEo0IjXn16I/KbOiWljnh2DGyvx+tPzcfnUW9ACOhYbc3TBWz8Mcwi5/bVrsL24ELXoDC63oegY3PzKGPzqw5sPY80Y5tDSnOnC5t5F2J3XufQ79vZx2JWfi829D+227OFAMbr/1VPhFRWGOURkN/jxu8l/R0F1G7YXFwLfBcctr6nFrN/+DXOeG3V4K8gwh5CIxYJbfnMNctr86Jvd4SqgFpm4fOotaP7OjwoHGWEAXlFhmENGW7Yde/vnoK53Jv4w74JYem1xFiqPyUEr4WSQYXoyEYsFdZ5E6566bPfREdbCPAivHspRMBoYJj3QrRoWPnwWMr0h+HKtuGbteADA4w3noDXbzrGfGIZhCNJ3oqIoQJx1iBmmZeUqoWI3MxMtZsw46xXTZYepdC4kGTa6CwybuNhkCcosU8Q0TRU3DIfn7CSPrw6Llgut5fS/67povpAWlujNdLfYZxl5tBOlgF9cZG3T6DrYvYRbe8JCQJNYPihRsW9oHT+gRpL/m0BZGMBKj5tsm2hZMrx0p5DWVEyLbj9tKBPSVIl9oGF21suwWNCcZ0Ew2jkma3K+u/46UNa3QTh+t7+QLFcLiwOPGreAGF4AAHQ7YQUjsd7wFxBWQ4X0xMrRQFhEEZZiAGAnLHQi+bQ2wdIiXjMTya9CmYT7ejVEhz0wKesYiat6NUyUYaMt5igX+kYe7S9ErSMshHTieSVxwQ9iVcJ00v2lEG2w+mjrF80vnk8LieEJOtLF9oabxb4Je+h7x94sjjt7M53XVSvW19JKt0GJH3fx76N6x+t7MHPoflT9ib89iiHftOhuk+KebJ6c8tbP3r17ce211yIvLw9OpxNDhw7F559/HvveNE3ce++9KC4uhtPpxIgRI7Bly5ZurTTDMAzDHNGwZ9qkSWmi0tzcjB//+MewWq34+9//jq+//hpz585FTk7nX/rHHnsMTz31FJ599ll88sknyMjIwMiRIxEM0r4RmMODNaIjpzqEb345G9/8cjaMoBW9mn2wRlPzO8AwDMMwB5OUtn4effRRlJaWYvHixbG08vLy2HvTNPHEE09gxowZuPTSSwEAL774IgoLC/G3v/0Nv/71r7up2syBYI3omPf711Gyqw2D8TAAoLixBa/+4U/4tk8BJt1x1dEhZmMYhjlM8NZP8qS0ovLWW2/h1FNPxRVXXIGCggKcdNJJ+NOf/hT7fseOHaipqcGIESNiadnZ2Rg+fDjWrFlDlhkKheDz+RJeRwNqxIBlN3DPCe/i6ZNfRiRgh7s+AO0QxHvJbIiiZFcbcus6928XPPZX5NcF0WdPGzytPTwYWBLsuz5/OPF1/OHE1xEO2JFVH4AW6cHOCggsehT57Yn3ZK9WH6w6r7wxDHNoSOlv8/bt27Fw4UJMmTIF99xzDz777DPcfvvtsNlsGDt2LGpqagAAhYWJ4r/CwsLYd115+OGHcd9994lfqFrHa99HwlU2AJhEUDnFkijyS/BErSiJCZKpmqVdFJdZgsm7ui50iS7/T3Vt78geNjHszioomzRM/e67i9vX49ybvkbrAAc+f7oUnyiiWBMATIc4kTEIwRoAWDNFIVmWM4iPb3kktpISq1tDhwtr1AOnHzcNRfCipr5AOB4AIpmEa+9GmRxWRKF+7CXuuikxrUxgqwXFMtqbaJGf3kfMW5HRoaVSwiaOv7MGiLs+l7Z9gYrxW9E+wI6NC4rQp0QUOq5uOo48V2NIFOTWB2iRbnGGOJ735NBqab1JDLNACWQBWkxLueaPZnT2rTUaxeNLX8SA2hpcMelWfDpnNgDgzbxSVJa4MeVn1yOiJfcI0UL0BC/sFo931tLbxJEcsb1WQmBLudoHuggov8N0SUSR7WKcBjNL4s04QJyPEM0CgEm4VFeb6fAgJrENqwQIQbGkXopOiNZ97fS5CJGtVllP5ATCQ/sIaa699J8bm1cU6bcXi2LazCrycKjEs0KNSu7/gNhfhp0en5a43w3F6Hymmm4XTGti/ZSg+BxVWyQhXVKBXegnTUorKoZh4OSTT8ZDDz2Ek046CRMmTMBNN92EZ5999gdXYPr06fB6vbHXnj17vv+gI5xotQ3KJg1mZedNfMIN9cBuK9RNKmwtHJzucBKttgGbNBiVnQ/v/td7YezuSLceJdfH4/djQG0N+jY1Yskzi2LpfRubMKC6Bh4/r7wxzA+FgxImT0oTleLiYgwZMiQhbfDgwdi9ezcAoKioCABQW1ubkKe2tjb2XVfsdjvcbnfCq6dz0TkbUFDZkhDe/Ji9e5GJdhRWtiBUIDFt7CZO+dtMXPSnO7GuoHMFoBYF2FzYG6P+dMdBPfeRwIizv0avSm/C9em3twqZaEevSi/CBUeHfqfe7cavx96OTTmlyGvsXDXYlNsHV958G2rtRNRLhmGYbialicqPf/xjbN68OSHt22+/RVlZxzZFeXk5ioqKsHLlytj3Pp8Pn3zyCSoqKrqhukx3UNDejD/e+wKOq+tcb20ptGJAbRWevfdF5DV2w7Im0yNYM+9eDG7enTBpO7VpMz6dMxtbHrvtMNaMYY5w2Dw5aVKaqEyePBlr167FQw89hK1bt2Lp0qX44x//iEmTJgEAFEXBnXfeiQceeABvvfUWNmzYgDFjxqCkpAS/+MUvDkb9j0j+9z8n4f0PTsCO3r1jabUoQG0fD9764MSDfn6v24ntZfnYW+iJpU154HJUFnuwvSwfXreoBTiaeHfjMKxcPhg7e5fE0mpRgPo+2Vi5fPBhrBnDMMzRR0pr2KeddhrefPNNTJ8+Hffffz/Ky8vxxBNP4JprronlmTp1Ktrb2zFhwgS0tLTgzDPPxHvvvQeHgxY1ylDsVihqp4bD9LXS+dxZRGIXQWH8R8PoeH2H6qX32Q2PKFCzN9OWDq4qUYi2qVYUos4zO+K75DS24w+3/hXuqs7y/MUK+lV6cfoN2zBv0Qg0t0q8c3rFSybzJmpExAlHjbejruOuG4ec9s5gYBusxfjltJvRnOlCpKHjHBk19DzW5hVn7gohcLP4aFGkSXkDTuHfQFYlLZaEIl4HQ+Ih9Iv8UiGtr3NoR/n1QUy44f/g2NtZp0AJUFbpw7AbdDy96Fx84RTFzpVeWvBt0URBoE2jL1pjUBx3rky6ve25olDR1kx7i7W2E/1risJbPW7I9PL58E5OX5Q2N2KzpxSntGwC0DFpa8px4MYrJqKZGGOUm2F/L4mokfD2HM2gr5mtVhSCRvPE86s2ug80ryiQVRu8ZF5YiDII0bwsr6nR947iovqLLldRxWeA6SKeo4bk3iE81poOOsyf4ifuVco7LwDHrhb6fARqSKyDtVUcC4bkmqmER3K1TeKTi+pHymtwV+KePUpzK5RAonjWzBXva5koWa9P9Cytm/Lzs3ly8qTsmfZnP/sZNmzYgGAwiG+++QY33XRTwveKouD+++9HTU0NgsEgVqxYgQEDBnRbhXsCrW4HdpbnoaaoU4+z8OmzUN87E9XHZqPdc/BjhkYsFtRldwkG5jlKgoF9D36PDbXHZqGxpHPS8Menf4KGPhmo7n9oro8losO9N4z/G/EHfP2L+2AErchvaoX1EJiv76PF5UJloRuNuU7cOu7qWHpTjgOVRW60uQ+ulophejTdEYSw66uHwr9Kh4GoVcPD912ELF8QF+XdjmMyG9AOC+YtGoF2j42D0x1mdKuKl/8wHK6WMO7M/RUAwA8Lnl50buf1kSzqdAeWiI777n8bhdv9eAdPAQCKGnx4Yc4SbC3rhSl3X4HIIRgjEYsFt181Bh6/HzUZnlj6mPG/QavHCpX4Z8wwDNPd8JPmMBG1amjOS1zm9/U6urUh6YRuVdHaywHELWAcquvjqtNRuN2P7NrOZfO59/0NefUh+M12ZLf60ZBLbHkeBCIWC+rdbqhaFP0feRwA0ISOfkg+HCDDMF3hrZ/kSXnrh2GYg8s7Y5/CgNqqBEubU+q/RSbaMbiu8pBNUhiGYdIBnqgwDMMwzKHGMLv/9QN55JFHYla7+wgGg5g0aRLy8vKQmZmJ0aNHCz7Sdu/ejVGjRsHlcqGgoAB33303ol08Kq9atQonn3wy7HY7jj32WCxZsiTl+qXt1o8ZisBU41Tcdnqh2SSiMitdXU+bcev3Fg2wdFphyNTbSqa4zB/JonUBthZxgAS3ZQpp31TSrq6/zi8W0iyEJREAOOtEZbsmengGABiEW3rdSc9N7YS1iM1Huz131YlKdqtPrIQSpY9XIqLAw5S4HHcSFgamRl8Hp0NMj9ppwWcoJCr5X6onfP2oEnfdreK5DCud17QQVlIuWhSb6fFj8KtzUNjgw+Oz/xcn138LoMPSpjHPjrG3j0NtbcfY0sKElYPEMEUjNDU6McTszXQBUWLXS5WMOyWFcEj2FtEqRAvSfRPoK64k2ZvEhmltEgGRTpRLWfcAtLWIlX5cmnZRXC1zza8T1i2UZQuABOvEfSiEFY1CWPcAIK1+lCDdN2YmYWUouc9ICyEJSkgcJJTlkhKWnIsQj8ue2aT1laS9yPN0vo+3DLRYEn4fALq9pPUVADUz8RmvGuGDqmfrDj777DM899xzGDZsWEL65MmTsWzZMrz++uvIzs7Grbfeissuuwz/+te/AAC6rmPUqFEoKirCxx9/jOrqaowZMwZWqxUPPfQQgI74f6NGjcLEiRPx0ksvYeXKlbjxxhtRXFyMkSNHJl1HXlFhmDSjwN+EF+cswoD6vbG0xjw7BjdW4vWn56OAiG/FMMwRRhpY/bS1teGaa67Bn/70J+TExRTzer1YtGgRHn/8cZx77rk45ZRTsHjxYnz88cdYu3YtAOCDDz7A119/jb/85S848cQTcdFFF2HOnDlYsGABwuGOCeqzzz6L8vJyzJ07F4MHD8att96Kyy+/HPPmzUupnjxRYZg0oyXLhS19e6GyoPPBMfb2cdiVn4vNvYvQnEH72GEY5shBQTfH+vmuXJ/Pl/AKheRLOpMmTcKoUaMwYsSIhPQvvvgCkUgkIX3QoEHo27cv1qxZAwBYs2YNhg4dmhCEeOTIkfD5fNi4cWMsT9eyR44cGSsjWdJ264dhjlaiVg1Tpl4OT6sfx+fei9aaLNQiE5dPvQXNGS72dcMwjJTS0kRnlrNmzcLs2bOFfK+88gq+/PJLfPbZZ8J3NTU1sNls8Hg8CemFhYWoqamJ5YmfpOz7ft93+8vj8/kQCATgdCZnSclPPIZJQ6JWTbDu6eqgj2GYI5jujs/zXVl79uxJCO5rJ/Sde/bswR133IHly5en7DX+cJC2ExUl0wlF7exgs7GZzke4pDa7iGlNvXOHS2kLJrhIpsS4AKD6RNf6zmqJm+eoeKGdzeKuWluRRLi3VTxe1ekBnFFDuaSmxXiGTaxD2E3XwVUl9kM0gx4e9ipCI0GIYU2Ja3CVEKcpElfXRi+PkKY7JS7Wm8UlTpdEPOxqFNOcdWLfUIJTANCIYWPY6Pb6C8X0cA5dr9agKBi1NtHXzNEgluusp5WstjZCmKmLdYg66TZoAULEHaLHKOUWX5XoPQ0rUQfJuHNWiSLKru7OAdCiWYB2sU6IPWUoIYk7dELEGcmiJ5WaXzyfbDxr7eJ4NrKIZ0ULLS418wnX7+30806Jin0mE7hTIl/TSd8oVLnQxePVgGR7IkDU10r3l0m4/Jdoy4Fg53VQ4h2QKIo4Toh+UHx04Faz69gzD50n6X243e6EiQrFF198gbq6Opx88smxNF3X8X//93+YP38+3n//fYTDYbS0tCSsqtTW1qKoqAgAUFRUhE8//TSh3H1WQfF5uloK1dbWwu12J72aArBGhWEYhmEOOd2qT0nRedx5552HDRs2YP369bHXqaeeimuuuSb23mq1YuXKlbFjNm/ejN27d6OiosM6sqKiAhs2bEBdXae/p+XLl8PtdmPIkCGxPPFl7Muzr4xkSdsVFYZhGIbpsXR3fJ4UysrKysIJJ5yQkJaRkYG8vLxY+vjx4zFlyhTk5ubC7XbjtttuQ0VFBU4//XQAwAUXXIAhQ4bguuuuw2OPPYaamhrMmDEDkyZNim03TZw4EfPnz8fUqVMxbtw4/OMf/8Brr72GZcuWpdQ0nqgwDMMwDJPAvHnzoKoqRo8ejVAohJEjR+KZZ56Jfa9pGt555x3cfPPNqKioQEZGBsaOHYv7778/lqe8vBzLli3D5MmT8eSTT6JPnz54/vnnU/KhAvBEhWEYhmEOOYppQulGMe2BlrVq1aqEzw6HAwsWLMCCBQukx5SVleHdd9/db7lnn3021q1bd0B1Y40KwzAMwzBpS/quqHQ13ZK4czZaRfW16klUuyu2OBfXqtLxin1O3oW2SrivBgB7vahMN+xi11rb6HNFCcsUZy2tzjcsYl6tnbZG0DNEdbyjRuJ+mnB3b22SuMBvFS2iKNW/TBlv9MoV80pcmSt+0RrAIrFcAHG+zFbR8gEAojmi0zSbl3DB75SMO8LCJ2qn5/2WgPhPJ1pL2yPohJt2Wyv9T8neKo7HiMTKiTJ/sHsJ6w3JfWb1i3nDmRILobBY30iGJHSDV8xLhWPoqJt4PmrcyCzITBthLeKkTTNNjbBiy5DkJaxCQnm0ZUrwGMJ9vCTkgDUg5s361itmlFjnUBY+isS6hnZrn7yVE5qJegEAYdmhBFvF88tWA6g6RCT1ChPjRmJ5CMJaFADMgB8mYZklFJtJh0MR6mZIfl8AwPju1V10Z1lpRvpOVBiGYRimh5JuWz/pDG/9MAzDMAyTtvCKCsMwDMMcag6jefKRBq+oMAzDMAyTtqTtiorR0ARD6RTBqlmZZD6FcJssuNCWudQGoNhtZDopLqPcdQPQwqKo0dREsabVR9dDjYiXwVJHuKkHEC7xiMfLxKUEho0Wd1m8osiWFB+CDjugUOLDXFrIqjYTbZOcCxGibyXuuo2SXkKa1iwK9wBAdYnXXTEIYWdTgD4X4fY8SoiXAUB3EH3jlQhRQ6IiLuqi/0+ohAv7rDq6vrpTHGM6EWJBjdB/y4KEy3/KVT4ABPLEvBm1tNLPEhCvr2Gnx6hGCL7JWCkSAaUSlEeRFfISaZSQHQDa+onPJn8BnddfTCSadH2dtWI/WFvFc9kb6GuuNRJjX/K8U9pEgTwkwS9NQrSaYLAQn5cKUUIIZBXJ850MzeERw0wAgEI9V6jfBwDwx/VZnJt7JSMDipp4H5PPwaBEcNv1eWVKYkcABy3WT0+EV1QYhmEYhklb0nZFhWEYhmF6KqnG50mmvJ4KT1QYhmEY5lDDWz9Jw1s/DMMwDMOkLbyiwjAMwzCHGMWQeyX+oeX1VNJ2oqJ6sqGqnYptM0Ar2ykEBbkjTpEejiSqziUutOEVFfOUVQkAaA2i+2iNckVOuAAHAK1VtEYwCKsjALAQeUFY3ACA2kb0GeGiHQBMyhW5xAU+3ITq3hDvEoU6PwAzW1T4U275OzITy5kSCyHS+ikqsbRqS84CxHTS1gwUVi9dpuYX+zaSTZerE274LYT7egBQomLfKJRlDGiLJioMQMRFj1HTAlj0KDxBPxoy3B3HW4D8dh9aHC5Etc5x5WihLHHIYqESVj9qkHaRTlrdEeNDdu+ohGWLnu+m87aKY8nfh3ab3jiUuL7H0WN/QEmtmFfiZn3Hl32ENC0sjn1rG21ZooXE/jKJ+1SG1NNpiBjnWbQlDnn/2QlLHEkIDejEwGloofNSFj6S+z/eZX/C+9Y2wYW+4RfHjZbjoeugdqmvxKKLSY20nagwDJM+WPQo5r77AkoafBjk2w0AGHHl/fif9+ZjW04R7j5/TMJkhWGY74E1KknDTxaGYb4XT9CPYxtrkOvrXCmY//fnUdraGPt+30oLwzBJwJ5pk4bFtAzDfC91tlxcf8kd+DarNJaW0xrE5qxSjLvwdp6kMAxz0OAVFYZhvpeNz9yGjQBOxsxYWiHqgFYArwEn/ubxw1Y3hjkS4ejJyZO2ExUzGIKpxnU84UodSBRC7UO4YPGfu+4LEu6cAcAszBXS1BCdlxSCUcJZiWtvUohK54TSTgjkHBK32LpYrmlK2kBBCYJlUMK9LFp8SApnZWK6IOFCX+LKXG0kxL+SNph2cegrhIhTIcIjAHTYhKjHSea1tIjCStlDRWsQRdx6vkSoSGAQ7QJod/mBXLFvVHm0if1i93a2RwuLbXPU00JjkxKCS/SeSkAsgwx1sZ+QGckSLBXDPwQ99FgKFoljYdSAr8m857s2wN6iI1jQKYqt35uFQLYVRpdr9HRRvnC89UtRMGp2FXDuS6fuv5p6Mq9CCeQlKJRwVibSNYl04rkkJZVrSd1TkuOVuGdxwnvChb5K9a8kvICQnoJ4mZHDWz8Mw3wv5/7qQWzK7ItaFMTS1rkGoQ0Z2Ozqi7wAHZuK6USL6Bh+206ccsVejD52HUYfuw7KNg2/uvZz/GzyV1DD/KN2VLHvT3N3vnooPFFhGOZ7ac2wojrPjebMzhWM/z7rKjRnOFGT44bXJgbhZBLJ8Ibh/jaIzL2dq49njNsGz54A8re2w+lNYbWTOfIx0bF62F2vnjtPSd+tH4Zh0oeoZsHU88Ygqz0CvNqRVpfhwW9GTILX5mLT5CRozPBg+fNDceINNUBVR5qy14q9vfPw5jMnIUy7aWKYox5+ujAMkxRRzYJmtwUn3dQhnNVaTTRa2NonWZ7/ySI83yWtEHXAXgCXAHO/Pv9wVIs5TLCYNnl464dhGIZhmLQlfVdUuoiDTIl6W83NERO7uguP/+x0IGF+JpmFqt52sUqUi2YARoZo7aFn0nkpNKIOppW2MFAJl9CKn3AdDwCqOA81axvprJTqX9LnlJWRQqjgpfWi3PjLrK9yxH/sSkRSr1zRUkPx0mEA1EZR/GlmEjoLmYUCYaVEWfcAEislwqU9ABgewlJDkpcql7L06kCsr71VzGtYaAsSKo6IotP1svkIt/hhyf1LWlpJxgJh4WMS4RQUwgINAIxssW8NG32ftfUWx3goh+6bwr5NQtoxTtG6Zt7fL8TVN60FKm0dKykAtvfujYK9LfD1tmNVY38ECjrPa4TEukUdYh20gCzkAGFpJbPuoZ6DxPOjoxKEJZydtjw06hqENK1AtGaS3mfU9ZWE0KDqazS30Fm7hln5DjPgF1zoKzaibTILzq59Y9JWgx3foZs903ZfUekGr6gwDMMcAowiHcYgA+jT+UP4n8W9oJfqCA8EQp70/d/IMIcTvjMYhmEOAYZNxedPl8KotgHndqQFi21YtnQoQh6L4EeF6eFwrJ+k4YkKwzDMIcK0qVDKonhr29BYWr2NBclHJQbknj1/aHk9FJ7CMwzDMAyTtqTvioqiJAiWSLEnABDujc0uIs54V/ympiS67ZaIwJQ2ws27ZGlNCYqitUhvUazl3O0ljw8Vi/+oHN/WkHn1Xh4hTZO4J6fEZapHFJwCHSELBAghKwAoPkKg6hSFjjLBGek2nRBKdpxLFDUbufRYIAWyhNC5o1yxDZSIUxaewKTaJnHtb9rE20xrpYXGhks8n0EcDwAKMRwjWbTQkPJ6amsRhX6hHPpcrjpRoKr5aaGg2iz2rUyIrraK1xeEYFyG0i4KmA3iHumoBCFap8YiQP7T9ZfQ9397i3ivb+9FO0WJmKJAdtHGCjKvY484FiwhItwGEWYCkIQXkAiNTUrg3iKGcwAAszBPSCOvI+jnDVmvIF0vSkhuhum8CnFPKpl0GA8zTvRq6nFjQNU6XvEQzzazmX6Wp+JCn82TkyelFZV+/fpBURThNWnSJABAMBjEpEmTkJeXh8zMTIwePRq1tbUHpeIMwzAMw/R8UpqofPbZZ6iuro69li9fDgC44oorAACTJ0/G22+/jddffx2rV69GVVUVLrvssu6vNcMwDMMcyXCsn6RJaeunV5flzEceeQT9+/fHWWedBa/Xi0WLFmHp0qU499wOSfvixYsxePBgrF27Fqeffnr31ZphGIZhjmTY6idpfrCYNhwO4y9/+QvGjRsHRVHwxRdfIBKJYMSIEbE8gwYNQt++fbFmzRppOaFQCD6fL+HFMAzDMAwDHICY9m9/+xtaWlpw/fXXAwBqampgs9ng8XgS8hUWFqKmhhaGAsDDDz+M++67T0hXLBYoamf1zADt9VPRRHGa0sVrKJUnVq5MAEl4sYzk0RFiDatYhu4U0/z9POTx9mZRyCoTjGrNhMCNEsJBIhQkPKoCYp8BAGTCO8KDqxIivGNK6kV5X1XCEg+OmaIYVonSAjVS+CrzICkRUQuHS0R+lHAvUuyh8xKedA2JSFf1i+eTeSmOZIrCWS1IC1EjWYTnYEKoaPPRx1PCWZmHYKpc6X1GjRHZtSHGKHV91AZa6BjtI4pAg73oc7UXi9dXz6DbO6i4Tkizq7S32A9qB4v1qqcF306iGbqVMB5w0gJqPUsUMFurJeOZ8iItEUBjr6g7lP6XJzxWUyJdkzCKAACExGejKfFiq2QQzyXq/AAQl1eJ6z9F08RnIbVSIfGO2/W5oOxHTMsrKsnzg1dUFi1ahIsuugglJSUHVIHp06fD6/XGXnv27Dmg8hiGYRiG6Tn8oBWVXbt2YcWKFXjjjTdiaUVFRQiHw2hpaUlYVamtrUVRUZG0LLvdDrs9+bg4DMMwDHPEww7fkuYHragsXrwYBQUFGDVqVCztlFNOgdVqxcqVK2Npmzdvxu7du1FRQfsJYBiGYRiG2R8pr6gYhoHFixdj7NixsMTt/2VnZ2P8+PGYMmUKcnNz4Xa7cdttt6GiooItfhiGYRgmDnb4ljwpT1RWrFiB3bt3Y9y4ccJ38+bNg6qqGD16NEKhEEaOHIlnnnmmWyrKMAzDMD0GFtMmTcoTlQsuuACmpEMcDgcWLFiABQsWHHDFurrQh0zHQqivTUeiVUm8Kl6J6FAicRYMQVqdH+otun6OuGnrC2+52I0qIa5XI3S/WQKEVYjESkJ1iO1VJCp4yoKEVPdD4uJc4l6cKsPIEd2Iy6xCyBtKYp0TzRGV/GpEshlLuJpX2yWu6j1ifSkX/LJ6Gdni8ZYW2jKNstqRWjlFkreuAWjLA4qM7aIJCWlNJLGoUomQErLwBJQFhyK5DhSUW3wAgE7cJ4W5QprqlViFEP2o6JJ7kqiu6qEtZs7I2y6ktep0SAinRXzeKBF6jFnbxbpZ/WLbdDv9XNICxLNN9mNGWafILARd4nWPd0n/vbjFe0fmrt/o30dI0xokLiwIazNE6Od7Qnvjj9O0jlccplN8NspWL8ymlsTPpiQ0AJMS6Rvrh2EY5ggj7LfjweF/BQDcvuZa2JySOFwMY5h0wK4DKa+HwtGTGYZhugmVWJHKqg9Ak60CMgzzvfBEhWEY5gAJ++2I+qy48O5vY2mRgB2uHTquH/sprrt7DU9WmEQ41k/S8NYPwzDMAbJvu2dOXNrCcxcBAO4H0KBmwtUSApJziMwcFXT35IInKocc0++HqcQJtGRu8J3Ev5RoF9FctHPhyHC7YMQJcGXuyQMFolCx5Vh6ASriJgYIkeSqokVzoVzxXM5qWnyotVIqP4nolXAvrue76byEqDCaKXHz7haFgpS7fsMmqVdUPBfl4r2jXLHPZKJk6qZ37JW4eSeElaaLEEBKHiQKIeyU7RGrAVGnoOfRIRIUQkRNhkIALcJWw8kLmEmRrkwkSAkKfe30uQi3+EZ9A5lVzRTDKcBJC1F1IqyFSomSJQJolbh3tCAtCLb4xX7QA/SzYkXNIDI9nmlP/BINjiw0+8XzqVG6vmaS691RIpQCAGgh8frqufT9r7aJAmaFEHZ3fEGIpWWu6qn7pFUcN6ZHEjKkjhCBE2E1AEChXPPLJgJxYzThN8BmAbo+C4n2kqEfACh5OYmfjRDA4esOmLSdqDAMwxwpnPHWPQAAPWjDJ1fOBgDUogAZaMfMxy/BdsI6iTnKYfPkpGGNCsMwzAGiOSPQnBEUtTbG0jLQjgz4MfUPf0d+LW1+yzDM98MTFYZhmG4gr7ENv7/n/8U+z3z8EtSUuFFU5cMDt7+FnAbJVhlzdGKY3f/qofBEpRuwRqPo5fPBCFuw/e4p2H73FOQ2BGBNxQkSwzBHNF63E7XHuFBZ7MH4v16H7aflYsZTP0dNiRu7jslFazatvWGOUkyj+189FNaoHCBWPYrH//wiBtTU4NfjbsfO79Jf/NNzqCx247ZrxyAiE5oxDNNjiFo13Dvz58j2BWAWdggwGwqzMH3BL9Ca7UDUqgESR6kMw8hJ319QhwNQ46xOAhIX3IT7eKWLlYUSZ4KjhKNQQp0rHeF8wuoAQChbVHpHssSlNY+vHX1qvchvCmD+/7yEU3EvACCvOQhoJlzwozGvQ6VuNEpsE4kVO8pxVMcXxCJYiHbTLLMWofMSynaJG/+oTbR+COUSlh5EmQBgEKNOkf0ZIIowLHS5GTXir0CwN+GuG4C9TrRy0IjQAOE+tAjSVtUipJkSl+MGYU1E9TcA6IRFldae/K+b2n5gnlBl7utNuzh2TS9tzqC4RQsONdeTfCUk41lrJgYJISA0COsgADAJy0Grj+5bu1ccpNY62rqmNjuxvXstHjhbOtuw05ILfLfr01wlhuawyMY+8VyIOsR7knKr33F8kpZekFgIFnrIvJQLe6kVTFcLTABGlmi1I6uXni/2l+alt9Aoy6GuvwUx4iya4i3tjAwHjC7jJErck9Zmulijqjbx8/5c6LOYNmnSd6JyhFDvdmNI456OD02d6YWoAxoA3AP0XfToYakbwzAMwxzp8ESFYRiGYQ41holuddLGYlpmf/zXzNn4Oq8UtSiIpX2eNxCnPXAv+jzz+GGsGcMwDMMc2fBE5QDp5fPhtYVPY3BjJRrzOr13DmqsxOtPLkBRoHE/RzMMwzBHJRzrJ2nSd+snKwPQOn/4FZtEiEoIGLuKSE17nLtkmwVm3BJZOJvuApXQQFlbRQFku5GBbwuLAVPBuPE3Ao91pO/x5KEyz4321mzYAh3nsPokLtYpl/AyMS0hTosWioIzALA0+8W8btEVOgCE3WI/UMI9AAjkE4K+drENwTxaMBolrDQttIYTUZeYZm2j86oRsQ12n0SklyEKI02r2I+2PfRE08gi3Lk3ttAVI0R+upMedxafKP4j3cQDULyEa/4cWkiqesWxkAqKT+x0IywRClJiWEPi2p+iixvyWB1kwsiu+fx0PoUQomteul6WAvE+ce+gxdKthijYlulbHYZ4T2Tuop8LOnGr6sS9E3JLwouYomjVUS0ZB4TwXibM1nMIsXSIFiXrbrEOVNgSaZiIFvHBYKqSkAN28Z5WJPWKz2s6O9/rbodgLECFKIhk0cJqV1Xi75RiIiakFiuBbhbTdl9R6Ub6TlSOECKaBbeOuQ4evx/17kyUz50LABhXNw4tThebJjMMwzDMAcC/ot1AxGJBvTsx2Fd9Fh38i2EYhmHYPDl5WKPCMAzDMEzawisqDMMwDHOoMQwA3ej23mAX+gzDMAzDdBe89ZM06TtRaWoBlE4FtSEJ8KdmElYO7i4q/DiXyIpuQImzqHHW0q75dbuoVre30GpzRRd30Ny7xNktad0DwNEg1kGRDDqlTVTtq1l0sLNQkajOl1k5+QvENrT1JbNCd4htM2xifU0iHwAoYfFcpkNiFUJ0uV5FK+6pnUyZu31bk2iZQlkemA7aSkol3O1H+hWSebWAaHlAWfcAgNompiuR5INbas0SEwNiPJHtJdoFAIiI/aWU9SGzUmPUDEnGgkMcu/quSjKv6hGtshSneLwsDAAIYbvppq2kXJViP2bsoMeoo0msl26TWKao4nWIuui8di+R10mE9pAcT4UMsDVLrByJEAlGJv1cCecQ94RB51V1og0OsV6WoMw6T6yX4qItQBXCOi5S7KHLjauD4uh8nrT1sSMYSqyfRjy3TbrLxcCAPThQ4KEkfScqDMMwDNNT4RWVpGExLcMwDMMwaUvarqjYnDZY46Inm1F6TqU6iaiuzsStAXvc0l78ewCwOOhthKid6BobXQeNKMJhJ7Z+JNNCh0NcslSoPQ/Q7TUkbdCIdJVqFwCDWKrWJTssuoWIWEsUa0rCwioGseUgidRMdYNNEqnVQbTBTmxJAYBD0mdd0Zx0PoXYUqL6GwCI1X5AEj1ZoaKBS7avUoKoAxnBOSJxrEj5zZL1jU7ck5pkK5PacnDR220KMfapNOnfL2rrR9IGk7pPJE7JIoSjMaILOsoliohKtomsdmLbhMgr24awEP+wZeOeGuembDwT7ZX9mye3fuzE1o/komnEjpAiWzggHMHJno3xWz/2uGvtsInXnbrssj63d9mWUg0ALXRejvWTPIppptd6kc/nQ3Z2NrxeL9xu9kXCMAzDHJlQv2f70s7LGQuLKpnR/gCiRhgrm1/okb+dvPXDMAzDMEcZCxcuxLBhw+B2u+F2u1FRUYG///3vse/PPvtsKIqS8Jo4cWJCGbt378aoUaPgcrlQUFCAu+++G9Euhi+rVq3CySefDLvdjmOPPRZLlixJua5pu/Xz6wGTE7Z+QFgHAIAiscqIx+604tUv5gAArjj/MYSCnevY4Ry6XI1QoQfz6XNRy7w2n7iEb/PSsVHUiHguWbwSSolPxc4AgKhLvLy+PvQlDxaIa5n+/nScDEemWLecLNFKoslHW1REQmIdrHbasiXkE9traaHb66gX2+DZRlsT2Lzi+SwthMWLbEm7qVXM6iYCE0ESx0RJfjtHGuOG2AJTvLTVD1U3pZloQ6Zo7QYAqG8S02yS7TMl+fYq1HZMGx3MSaH+JRLWgKbMnwRxLRU7fU9T2x6mk84bKhTHuS6Jk2VtF8djJJMez8FssYxwjtiPVOwsALA1i+11V9L3g0ZYZUWdkucKYXlkSMINUdZPClEFdyU9xjU/sS3eSlt16bnidYgQcXqAxOvjsFvwzgu3AgDOumchgl2s7Mj4Sjn0c+GYJ7cknt+QxMMCOsZjd27XpLg50qdPHzzyyCM47rjjYJomXnjhBVx66aVYt24djj/+eADATTfdhPvvvz92jMvV+RzRdR2jRo1CUVERPv74Y1RXV2PMmDGwWq146KGHAAA7duzAqFGjMHHiRLz00ktYuXIlbrzxRhQXF2PkyJFJ1zVtJyrhQBgJ8buozV0AitROjCYUjCAYP1EJ0ncYOVEJ0XXQiToYIfF4I0j/8FMTFZUwaQUAnQrCSOgaACBK6AKCkvsmEBHbEIhKAnrpYrqTSAsQaQAQofatdclEJUrsZ0vMvE2iDY4QXa4RFNOt1PWRTVQChHmzVaJ3oPQ3KU1U6H5ElPjhJeolqxuV19QkjwQ/US5x/o6CifZKAskphI7JpM4FQLFSdUhhokL8KChEkECAvuwm1S4AQSLwnS7JqxPPlYiVrm8wLI79UJiYqEgmCUZYbIRNcj9oQWKiokqeK4TYTjpRIURm1ETFJnk2asR9Kns2RokyIjKdnexaRqIIdDFz1om2hSTPoFCXsRvd30TlMHPJJZckfH7wwQexcOFCrF27NjZRcblcKCoqIo//4IMP8PXXX2PFihUoLCzEiSeeiDlz5mDatGmYPXs2bDYbnn32WZSXl2PudzHwBg8ejI8++gjz5s1LaaLCWz8MwzAMc6jZZ57cnS90aGDiX6HQ90cd13Udr7zyCtrb21FRURFLf+mll5Cfn48TTjgB06dPh9/f6SNpzZo1GDp0KAoLO/1HjRw5Ej6fDxs3bozlGTFiRMK5Ro4ciTVr1qTUVWm7osIwDMMwTGqUlpYmfJ41axZmz55N5t2wYQMqKioQDAaRmZmJN998E0OGDAEAXH311SgrK0NJSQm++uorTJs2DZs3b8Ybb7wBAKipqUmYpACIfa6pqdlvHp/Ph0AgAKdTstXcBZ6oMAzDMMyhxjAApRs9137nBXfPnj0JVj92iQ4LAAYOHIj169fD6/Xir3/9K8aOHYvVq1djyJAhmDBhQizf0KFDUVxcjPPOOw/btm1D//79u6/eSZC2ExXF44aixnVwSLL3Trj8VrK6iKrixIxqnRda3N68s4nuAtMhKmQtbXQdDIdYhkrsrcr0DpTrZxmU3sHSQovLIpmiC31V4qleo1YHg/TOoC1XrG91nUdIkwlkDcInTqidnlkrxJ68rVniY4aSMNjpNtijxAOCSDMJnw8AYOSJwk6F0BoBct0ImZfSG0nGjUnolUClAVCafUQioR+QuZ/PEMW4Mi0I5dbeqGug87rFMSrTs1DpZrvorl/JyhTSANB9IxP5UmELAnRex15C+yK5ZuECUfBJCbsBwJ8n1tegNBcyDSVR3aBHosmLEHqYLLq9reXE8UE6b0YVoZNpI3wFSfROWqMo+JY+RwkNkixsSWtpZ3uNOP9YgUITgS7HRDIJF/qEnywAgN7lGWBKHrjAd+3ofjHtPiueZLDZbDj22GMBAKeccgo+++wzPPnkk3juueeEvMOHDwcAbN26Ff3790dRURE+/fTThDy1tbUAENO1FBUVxdLi87jd7qRXUwDWqDAMwzAMA8AwDKmmZf369QCA4uJiAEBFRQU2bNiAurq6WJ7ly5fD7XbHto8qKiqwcuXKhHKWL1+eoINJhrRdUWEYhmGYnoppGDC7cevHTDEA4vTp03HRRRehb9++aG1txdKlS7Fq1Sq8//772LZtG5YuXYqLL74YeXl5+OqrrzB58mT89Kc/xbBhwwAAF1xwAYYMGYLrrrsOjz32GGpqajBjxgxMmjQptt00ceJEzJ8/H1OnTsW4cePwj3/8A6+99hqWLVuWUl15osIwDMMwRxl1dXUYM2YMqqurkZ2djWHDhuH999/H+eefjz179mDFihV44okn0N7ejtLSUowePRozZsyIHa9pGt555x3cfPPNqKioQEZGBsaOHZvgd6W8vBzLli3D5MmT8eSTT6JPnz54/vnnUzJNBniiwjAMwzCHnoOkUUmWRYsWSb8rLS3F6tWrv7eMsrIyvPvuu/vNc/bZZ2PdunUp1a0raTtRMZq9MJROQasi8YKpEI6szC6iu4TPmpogrqVEswBgEsGpFMKxEwCoMgdTXZFlI0RgpiTwHiWcjeTSHlHtDWJeUxLgTiXEdDLnX+HaHLFeDuImMWi1uSOUvLMzi6iVhEWi97S1EmI6wrkcAFh8hAibuNFlq6mUQFbmQdZ0iwJKxUd7kDWamsW8Lvr6orlFTPNk03WgxOiUaFXmiE4jRJgSr5omIchVe+XR5YaJe8oquSczRPGdQrTLbKU925pdhY4A1FxxLAMgHcnBSwg7ASj5RBmSCKS2WrFuBhXkD4AWFu8flRhiOqFHBoBIBnEtJb9lXZ+ZANDeh84c8RD9KHGGqYXFdEcLcX7Jc4ny6qy00vdO1JUvpLWW0mNJjbu88ZdK0UWHdM4+4nXXdYkD0i4CUUXmCQ/ouH+kERZ/AOkVtq9bYTEtwzAMwzBpS9quqDAMwzBMj8U0IV9m/6Hl9Ux4RYVhGIZhmLSFV1QYhmEY5hBjGibMbtSomD14RYUnKgzDMAxzqDENdO/WTzeWlWak7URFsdmgqHGKbUlYbthFVXdX6xwlTtFuWjWY0bhmS6wc1CZC4S9xT07FWVeCojWCkSNx7d3kFdOKJVYShBWLtZFWwZtWsV6OOtHaBQBsTWL/2tppqx1TZhnSBd1O54uKHtah0+J82NoISxzJUFAJQw1nrcR9PdkG8VxaE+F6HoBJWaFRliIAECXcaEusupSy3mIaNT4AwCJawVAWNwBgEnUjLelkbaDuP2M/7sG7nj9IW0QpNuLCU/0FiVWVi7AEskj6lkijrKwAQCGsnJQciUWVT7TkURySe4e67k7a6sfRTPSDItZLjdL3GeVuX3ZPhommRQpoK0dPL7G93t1032jEcLQ3i+VqPkmIFJfYj0Ym7Xrd6hPHR/ZO+se7tU9nuaraed9rQQVaJLGPAnvF57YmCS9iRqoSPxt0HzKpkZJGRdd1zJw5E+Xl5XA6nejfvz/mzJmTsORkmibuvfdeFBcXw+l0YsSIEdiyZUu3V5xhGIZhjlRMw+z2V08lpYnKo48+ioULF2L+/Pn45ptv8Oijj+Kxxx7D008/Hcvz2GOP4amnnsKzzz6LTz75BBkZGRg5ciSCQfqfPMMwDMMwjIyUtn4+/vhjXHrppRg1ahQAoF+/fnj55ZdjERRN08QTTzyBGTNm4NJLLwUAvPjiiygsLMTf/vY3/PrXv+7m6jMMwzDMEQhrVJImpYnKGWecgT/+8Y/49ttvMWDAAPz73//GRx99hMcffxwAsGPHDtTU1GDEiBGxY7KzszF8+HCsWbOGnKiEQqGEaI1eb8d+fNTosmcp0agoBrHn2mUJTNVN+HwdWoOIHkJUj9s31CWh6g1iP1ziZdDUif3srvUHYOgS77pEXlOX7OkT3jVlmCrhbVZyvEEsrkUlIdKT1qhQnk8l6bJW6UQdTMnpKclENEr3I4j+VYixQI4DACaZV7LPTp3LoLUgJqFBkpVL6WxMiW7ENAlPutRSsSwsPXWbpKBRgcR7M1UHU9Je0ssnNRZT0AUYRL8AgGJS97RkLBD1lcWao+4/g3h+AECU8Bath6k0iUaFqoNkd4B63BiE92UA0P1iZiNAr5jrIbG+0SiRV5ddc7ERpkykRp1fonfSw50dEVUssd8HPRgQjjECYhmKxBNv19+tfZ8pi5woIt3qQT+KHqyHMVNA13Vz2rRppqIopsViMRVFMR966KHY9//6179MAGZVVVXCcVdccYV55ZVXkmXOmjVrX8ADfvGLX/ziF7963Gvbtm2x37xAIGAWFRUdlPMUFRWZgUAglZ/1I4KUVlRee+01vPTSS1i6dCmOP/54rF+/HnfeeSdKSkowduzYVIqKMX36dEyZMiX2uaWlBWVlZdi9ezeys7N/UJnpis/nQ2lpKfbs2QO32324q9Nt9NR2AT23bT21XUDPbVtPbRfQc9vm9XrRt29f5ObmxtIcDgd27NiBcFiyUnoA2Gw2OByEWeURTkoTlbvvvhu/+93vYls4Q4cOxa5du/Dwww9j7NixKCoqAgDU1taiuLg4dlxtbS1OPPFEsky73Q67XTRBy87O7lEDNh63290j29ZT2wX03Lb11HYBPbdtPbVdQM9tm9olSKXD4eiRE4qDRUpWP36/X+hwTdNgfLePWF5ejqKiIqxcuTL2vc/nwyeffIKKiopuqC7DMAzDMEcTKa2oXHLJJXjwwQfRt29fHH/88Vi3bh0ef/xxjBs3DgCgKAruvPNOPPDAAzjuuONQXl6OmTNnoqSkBL/4xS8ORv0ZhmEYhunBpDRRefrppzFz5kzccsstqKurQ0lJCX7zm9/g3nvvjeWZOnUq2tvbMWHCBLS0tODMM8/Ee++9l/Qyl91ux6xZs8jtoCOdntq2ntouoOe2rae2C+i5beup7QJ6btt6arsONYpp9uBIRgzDMAzDHNGkpFFhGIZhGIY5lPBEhWEYhmGYtIUnKgzDMAzDpC08UWEYhmEYJm3hiQqTNiiKst/X7NmzD3cV04brr79e6J8LL7wwIc/Pf/5z9O3bFw6HA8XFxbjuuutQVVWV0nlWrVolvR41NTXfe/zs2bOlzh6PJJYsWSK0P96SMRKJYNq0aRg6dCgyMjJQUlKCMWPGpNzfDMOIpGSezDAHk+rq6tj7V199Fffeey82b94cS8vMzIy9N00Tuq7DYjl6h/CFF16IxYsXxz53NYE855xzcM8996C4uBh79+7FXXfdhcsvvxwff/xxyufavHmz4DG0oKDgh1X8CMXtdieMRyUuIKLf78eXX36JmTNn4kc/+hGam5txxx134Oc//zk+//zzw1Fdhuk5HOZYQwxDsnjxYjM7Ozv2+cMPPzQBmO+++6558sknm1ar1fzwww/NsWPHmpdeemnCsXfccYd51llnxT7rum4+9NBDZr9+/UyHw2EOGzbMfP311/d7/rKyMvPBBx80b7jhBjMzM9MsLS01n3vuOaE+zc3NsbR169aZAMwdO3YktOHtt982BwwYYDqdTnP06NFme3u7uWTJErOsrMz0eDzmbbfdZkaj0ZT6h2r39/G///u/pqIoZjgcTvoYqp1UntNOO810uVxmdna2ecYZZ5g7d+40Fy9eLARNW7x48X7b8/vf/94sKioyc3NzzVtuuSWhrgDMN998M+G47OzsWJk7duwwAZivvvqqeeaZZ5oOh8M89dRTzc2bN5uffvqpecopp5gZGRnmhRdeaNbV1SXdB6Ypjsdk+PTTT00A5q5du1I6jmGYRHjrhzmi+N3vfodHHnkE33zzDYYNG5bUMQ8//DBefPFFPPvss9i4cSMmT56Ma6+9FqtXr97vcXPnzsWpp56KdevW4ZZbbsHNN9+c8I86Gfx+P5566im88soreO+997Bq1Sr88pe/xLvvvot3330Xf/7zn/Hcc8/hr3/9a+yY2bNno1+/ft9b9qpVq1BQUICBAwfi5ptvRmNjozRvU1MTXnrpJZxxxhmwWq2xdEVRsGTJkpTaFE80GsUvfvELnHXWWfjqq6+wZs0aTJgwAYqi4Fe/+hV++9vf4vjjj0d1dTWqq6vxq1/9SlrWhx9+iG3btuHDDz/ECy+8gCVLlvygus2aNQszZszAl19+CYvFgquvvhpTp07Fk08+iX/+85/YunVrgpPKfdtbO3fu3G+5bW1tKCsrQ2lpKS699FJs3Lhxv/m9Xi8URYHH40m5DQzDdHL0rpszRyT3338/zj///KTzh0IhPPTQQ1ixYkUs3tQxxxyDjz76CM899xzOOuss6bEXX3wxbrnlFgDAtGnTMG/ePHz44YcYOHBg0uePRCJYuHAh+vfvDwC4/PLL8ec//xm1tbXIzMzEkCFDcM455+DDDz+M/Yjn5+fH8su48MILcdlll6G8vBzbtm3DPffcg4suughr1qyBpmmxfNOmTcP8+fPh9/tx+umn45133kkoZ+DAgUlFKe/Tp0/C57KyMmzcuBE+nw9erxc/+9nPYnUePHhwLF9mZiYsFkssYOn+yMnJwfz586FpGgYNGoRRo0Zh5cqVuOmmm7732HjuuusujBw5EgBwxx134KqrrsLKlSvx4x//GAAwfvz4hAmQy+XCwIEDEyZwXRk4cCD+53/+B8OGDYPX68Uf/vAHnHHGGdi4caPQNwAQDAYxbdo0XHXVVT0yyB7DHEp4osIcUZx66qkp5d+6dSv8fr8wuQmHwzjppJP2e2z8io2iKCgqKkJdXV1K53e5XAmTjsLCQvTr1y9Bb1NYWJhQ7q233opbb711v+Xui2AOdEQxHzZsGPr3749Vq1bhvPPOi3139913Y/z48di1axfuu+8+jBkzBu+8805MX7Fp06ak2vHPf/4TWVlZsc/7ftRzc3Nx/fXXY+TIkTj//PMxYsQIXHnllQnR05Pl+OOPT5hkFRcXY8OGDSmXE3/dCgsLAXT0UXxafH//13/91/f2Q0VFRUJg1TPOOAODBw/Gc889hzlz5iTkjUQiuPLKK2GaJhYuXJhy/RmGSYQnKswRRUZGRsJnVVVhdokCEYlEYu/b2toAAMuWLUPv3r0T8n1f/I2u/7AVRYlFCt8XRTz+3PHn3V8Z+yv3h3LMMccgPz8fW7duTZio5OfnIz8/HwMGDMDgwYNRWlqKtWvXphzNvLy8XLqFsXjxYtx+++1477338Oqrr2LGjBlYvnw5Tj/99JTO8X39oijKfq81Vc6+CVnXtAPtb6vVipNOOglbt24V6nPllVdi165d+Mc//sGrKQzTDbBGhTmi6dWrV4K1EACsX78+9n7IkCGw2+3YvXs3jj322IRXaWnpAZ0XSLRUij/voaayshKNjY37XcnY9+McCoW6/fwnnXQSpk+fjo8//hgnnHACli5dCgCw2WzQdb1bztH1Wm/ZsgV+v79byk4VXdexYcOGhP7eN0nZsmULVqxYgby8vMNSN4bpafBEhTmiOffcc/H555/jxRdfxJYtWzBr1iz85z//iX2flZWFu+66C5MnT8YLL7yAbdu24csvv8TTTz+NF1544Qefd99EZ/bs2diyZQuWLVuGuXPndkeTMH/+/IRVka60tbXh7rvvxtq1a7Fz506sXLkSl156KY499tiYNuOTTz7B/PnzsX79+ti/+6uuugr9+/dPeTUFAOrq6lBTU5PwikQi2LFjB6ZPn441a9Zg165d+OCDD7Bly5aYTqVfv37YsWMH1q9fj4aGhgOaJJ177rmYP38+1q1bh88//xwTJ07cr64kWT799FMMGjQIe/fulea5//778cEHH2D79u348ssvce2112LXrl248cYbAXRMUi6//HJ8/vnneOmll6DreqyfwuHwAdeRYY5meKLCHNGMHDkSM2fOxNSpU3HaaaehtbUVY8aMScgzZ84czJw5Ew8//DAGDx6MCy+8EMuWLUN5efkPPq/VasXLL7+MTZs2YdiwYXj00UfxwAMPHGhzAAANDQ3Ytm2b9HtN0/DVV1/h5z//OQYMGIDx48fjlFNOwT//+c/YdpbL5cIbb7yB8847DwMHDsT48eMxbNgwrF69OmHLK1mrn4EDB6K4uDjh9cUXX8DlcmHTpk0YPXo0BgwYgAkTJmDSpEn4zW9+AwAYPXo0LrzwQpxzzjno1asXXn755R/cL3PnzkVpaSl+8pOf4Oqrr8Zdd90Fl8v1g8vbh9/vx+bNm8ltpH00NzfjpptuwuDBg3HxxRfD5/Ph448/xpAhQwAAe/fuxVtvvYXKykqceOKJCf30Q/zWMAzTiWJ23fRlGOaoYMeOHRgwYAC+/vprHHfccYe7OgzDMCS8osIwRynvvvsuJkyYwJMUhmHSGl5RYRiGYRgmbeEVFYZhGIZh0haeqDAMwzAMk7bwRIVhGIZhmLSFJyoMwzAMw6QtPFFhGIZhGCZt4YkKwzAMwzBpC09UGIZhGIZJW3iiwjAMwzBM2sITFYZhGIZh0haeqDAMwzAMk7b8f4wLUToIiyfdAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp = encoder.tiles_to_crop * encoder.tile_slen\n", + "fig = my_plot_detections(image_to_show, batch[\"images\"], target_cat_cropped, est_cat, margin_px=mp, figsize=(6,6))" + ] + }, + { + "cell_type": "markdown", + "id": "c46aa4f0", + "metadata": {}, + "source": [ + "Evidently, we're not doing terribly at predicting sources or their locations; let's assume then that we havne't broken the existing functionality of BLISS. We're interested in the quality of our photometric redshift estimates though. Let's plot these in a scatterplot across the whole training set. This will be quite a dense scatterplot because of the sheer number of images we train on." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "ff8c8535", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "\n", + "for idx, batch in enumerate(train_dataloader):\n", + " est_cat = encoder.sample(batch, use_mode=True)\n", + " pred_redshifts = est_cat.to_dict()['redshifts']\n", + " true_redshifts = batch['tile_catalog']['redshifts']\n", + " \n", + " # Cut out border of true_redshifts\n", + " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", + " true_redshifts = true_redshifts.squeeze(-1)\n", + " \n", + " # Add this batch to scatterplot\n", + " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=3, alpha=0.1)\n", + " ax.set_xlim(0,1)\n", + " ax.set_ylim(0,1)\n", + " \n", + " if idx > 100:\n", + " break" + ] + }, + { + "cell_type": "markdown", + "id": "6fc32aee", + "metadata": {}, + "source": [ + "Not great, but better!" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "cd5e214c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean of Training Redshifts: 0.17945173382759094\n" + ] + } + ], + "source": [ + "training_mean = 0.\n", + "for idx, batch in enumerate(train_dataloader):\n", + " true_redshifts = batch['tile_catalog']['redshifts']\n", + " n_batch = 32*18*18\n", + " sum_this_batch = true_redshifts.sum()\n", + " training_mean = (training_mean * (idx * n_batch) + sum_this_batch)/((idx+1)*n_batch)\n", + " \n", + "print('Mean of Training Redshifts: {}'.format(training_mean))" + ] + }, + { + "cell_type": "markdown", + "id": "1f08f08c", + "metadata": {}, + "source": [ + "### Prior Catalog Construction: DC2\n", + "\n", + "We use the DC2 truth tables to get redshifts and photometry values. There is a large number of galaxies in these, so we filter down to only about 5 million or so to use in our empirical prior. As above, the prior of galaxies samples a vector of values `(redshift, u,g,r,i,z)` uniformly from these objects. \n", + "\n", + "As above, we only sample galaxies not stars." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "c7435fd6", + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=\"../\", version_base=None):\n", + " cfg = compose(\"redshift\", {\n", + " \"predict.weight_save_path=/data/scratch/declan/dc2_encoder_ckpt.ckpt\",\n", + " \"cached_simulator.cached_data_path=/data/scratch/declan/dc2_like_galaxies\"\n", + " })" + ] + }, + { + "cell_type": "markdown", + "id": "2e816c0b", + "metadata": {}, + "source": [ + "### Semi-Synthetic Data: DC2" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "cfcad174", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Global seed set to 42\n" + ] + } + ], + "source": [ + "# This cell will take some time to run to load the dataset\n", + "pl.seed_everything(cfg.train.seed)\n", + "\n", + "# setup dataset and encoder\n", + "dataset = instantiate(cfg.train.data_source)\n", + "encoder = instantiate(cfg.train.encoder)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "c401fce2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Batch of images is of shape torch.Size([32, 5, 80, 80])\n" + ] + } + ], + "source": [ + "train_dataloader = dataset.train_dataloader() \n", + "batch = next(iter(train_dataloader))\n", + "print('Batch of images is of shape {}'.format(batch['images'].shape))" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "e1171b84", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "n_to_show = 10\n", + "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", + "axs = axs.flatten()\n", + "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", + "for img, ax in zip(imgs, axs):\n", + " ax.imshow(img)\n", + " \n", + "for a in axs:\n", + " a.set_xticklabels([])\n", + " a.set_yticklabels([])\n", + "\n", + "plt.subplots_adjust(wspace=0, hspace=0)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "bb7f14e1", + "metadata": {}, + "source": [ + "### In-Sample Training Results: DC2" + ] + }, + { + "cell_type": "markdown", + "id": "5afbc1eb", + "metadata": {}, + "source": [ + "We fit the encoder using the BLISS pipeline. Essentially, photo-$z$ estimation is performed via a module in parallel to the existing pipeline: the current pipeline estimates locations, types, and fluxes of each astronomical object. We simply add outputs to the encoder network that are used to parameterize the variational distributions on redshift.\n", + "\n", + "Currently, the variational distributions on redshift are univariate Gaussian; a mixture of Gaussians could be used in the future. As with other quantities, the per-tile NLL contribution for redshift is conditioned on the presence of a true source in that tile, etc. We leave other aspects of BLISS unchanged, so in addition we also estimate the number of sources, the type of each source, the fluxes and galaxy parameters of each source, etc.\n", + "\n", + "Let's load the fitted encoder and check that we are detecting sources properly. We overlay red \"x\"s on the posterior mode per-tile of the detected source, if a source is detected in that tile. We'll just overlay on top of the r-band image, as we don't have coaddition support for SDSS." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "77ed3c44", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PATH = \"/data/scratch/declan/dc2_encoder_ckpt.ckpt\"\n", + "checkpoint = torch.load(PATH)\n", + "encoder.load_state_dict(checkpoint['state_dict'])" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "c3dd71f3", + "metadata": {}, + "outputs": [], + "source": [ + "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", + "est_cat = est_cat.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "be683ec3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot r_band for a selected image, overlay detected source locations\n", + "image_to_show = 8\n", + "fig, ax = plt.subplots()\n", + "ax.imshow(batch['images'][image_to_show].sum(0)) # Coadd by simple summation" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "421d1788", + "metadata": {}, + "outputs": [], + "source": [ + "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", + "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", + "est_cat = encoder.sample(batch, use_mode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "205ba6d6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp = encoder.tiles_to_crop * encoder.tile_slen\n", + "fig = my_plot_detections(image_to_show, batch[\"images\"], target_cat_cropped, est_cat, margin_px=mp, figsize=(6,6))" + ] + }, + { + "cell_type": "markdown", + "id": "24d0b7d9", + "metadata": {}, + "source": [ + "Evidently, we're not doing terribly at predicting sources or their locations; let's assume then that we havne't broken the existing functionality of BLISS. We're interested in the quality of our photometric redshift estimates though. Let's plot these in a scatterplot across the whole training set. This will be quite a dense scatterplot because of the sheer number of images we train on." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "3828b298", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "\n", + "for idx, batch in enumerate(train_dataloader):\n", + " est_cat = encoder.sample(batch, use_mode=True)\n", + " pred_redshifts = est_cat.to_dict()['redshifts']\n", + " true_redshifts = batch['tile_catalog']['redshifts']\n", + " \n", + " # Cut out border of true_redshifts\n", + " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", + " true_redshifts = true_redshifts.squeeze(-1)\n", + " \n", + " # Add this batch to scatterplot\n", + " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=1, alpha=0.1)\n", + " ax.set_xlim(0,3)\n", + " ax.set_ylim(0,3)\n", + " \n", + " if idx > 100:\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "6c38aa7e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean of Training Redshifts: 1.644708514213562\n" + ] + } + ], + "source": [ + "training_mean = 0.\n", + "for idx, batch in enumerate(train_dataloader):\n", + " true_redshifts = batch['tile_catalog']['redshifts']\n", + " n_batch = 32*18*18\n", + " sum_this_batch = true_redshifts.sum()\n", + " training_mean = (training_mean * (idx * n_batch) + sum_this_batch)/((idx+1)*n_batch)\n", + " \n", + "print('Mean of Training Redshifts: {}'.format(training_mean))" + ] + }, + { + "cell_type": "markdown", + "id": "9c356b45", + "metadata": {}, + "source": [ + "### Accessing Standard Deviations to Compute NLL" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "78e20757", + "metadata": {}, + "outputs": [], + "source": [ + "def marginal_detections(pred_marginal): # noqa: WPS430\n", + " return pred_marginal.sample(use_mode=False)\n", + "\n", + "pred = encoder.infer(batch, marginal_detections)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "2f51bd10", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[[[1.2416],\n", + " [1.2368],\n", + " [0.2971],\n", + " ...,\n", + " [1.2753],\n", + " [1.3068],\n", + " [1.2731]],\n", + "\n", + " [[0.9672],\n", + " [0.4747],\n", + " [0.6095],\n", + " ...,\n", + " [1.1382],\n", + " [0.6346],\n", + " [1.1634]],\n", + "\n", + " [[0.5001],\n", + " [0.6022],\n", + " [0.5910],\n", + " ...,\n", + " [0.6557],\n", + " [0.7001],\n", + " [0.6870]],\n", + "\n", + " ...,\n", + "\n", + " [[1.0721],\n", + " [0.4331],\n", + " [0.4748],\n", + " ...,\n", + " [1.1664],\n", + " [0.8587],\n", + " [0.6487]],\n", + "\n", + " [[1.1385],\n", + " [0.2765],\n", + " [0.3842],\n", + " ...,\n", + " [0.6614],\n", + " [0.6392],\n", + " [1.1038]],\n", + "\n", + " [[1.3146],\n", + " [1.2437],\n", + " [1.0237],\n", + " ...,\n", + " [1.2888],\n", + " [1.1483],\n", + " [1.2638]]],\n", + "\n", + "\n", + " [[[1.2008],\n", + " [0.9526],\n", + " [0.6706],\n", + " ...,\n", + " [1.2407],\n", + " [1.0051],\n", + " [0.2253]],\n", + "\n", + " [[1.2551],\n", + " [0.5369],\n", + " [0.6778],\n", + " ...,\n", + " [0.5198],\n", + " [0.4067],\n", + " [0.4698]],\n", + "\n", + " [[1.3228],\n", + " [0.6500],\n", + " [0.5200],\n", + " ...,\n", + " [0.7034],\n", + " [0.2899],\n", + " [0.3208]],\n", + "\n", + " ...,\n", + "\n", + " [[1.2685],\n", + " [0.6168],\n", + " [0.7231],\n", + " ...,\n", + " [0.6840],\n", + " [1.2939],\n", + " [1.2313]],\n", + "\n", + " [[1.2396],\n", + " [0.7714],\n", + " [0.8379],\n", + " ...,\n", + " [0.5168],\n", + " [0.5319],\n", + " [1.2247]],\n", + "\n", + " [[1.2368],\n", + " [0.8390],\n", + " [0.8151],\n", + " ...,\n", + " [0.8772],\n", + " [1.2334],\n", + " [1.2097]]],\n", + "\n", + "\n", + " [[[1.2986],\n", + " [1.2853],\n", + " [0.6397],\n", + " ...,\n", + " [1.2379],\n", + " [1.2482],\n", + " [1.2617]],\n", + "\n", + " [[1.3065],\n", + " [1.2564],\n", + " [0.8037],\n", + " ...,\n", + " [0.5541],\n", + " [1.2372],\n", + " [1.2538]],\n", + "\n", + " [[1.2237],\n", + " [0.6039],\n", + " [0.7424],\n", + " ...,\n", + " [0.4576],\n", + " [1.1224],\n", + " [1.2155]],\n", + "\n", + " ...,\n", + "\n", + " [[1.2383],\n", + " [0.8355],\n", + " [0.8945],\n", + " ...,\n", + " [1.3767],\n", + " [0.4346],\n", + " [0.6640]],\n", + "\n", + " [[0.6501],\n", + " [0.6519],\n", + " [1.1652],\n", + " ...,\n", + " [0.9429],\n", + " [1.2234],\n", + " [0.8925]],\n", + "\n", + " [[1.2957],\n", + " [1.1650],\n", + " [1.1834],\n", + " ...,\n", + " [0.3555],\n", + " [0.9146],\n", + " [1.0717]]],\n", + "\n", + "\n", + " ...,\n", + "\n", + "\n", + " [[[1.2498],\n", + " [0.2914],\n", + " [1.2578],\n", + " ...,\n", + " [0.1800],\n", + " [1.2193],\n", + " [0.2935]],\n", + "\n", + " [[1.2458],\n", + " [0.5959],\n", + " [0.6653],\n", + " ...,\n", + " [0.7287],\n", + " [0.9439],\n", + " [0.9494]],\n", + "\n", + " [[1.1355],\n", + " [0.4225],\n", + " [0.4932],\n", + " ...,\n", + " [0.6853],\n", + " [0.6280],\n", + " [1.2344]],\n", + "\n", + " ...,\n", + "\n", + " [[0.5747],\n", + " [0.6226],\n", + " [0.6193],\n", + " ...,\n", + " [0.6501],\n", + " [0.3168],\n", + " [0.7022]],\n", + "\n", + " [[0.6721],\n", + " [0.7138],\n", + " [0.7702],\n", + " ...,\n", + " [0.5978],\n", + " [0.2875],\n", + " [1.2148]],\n", + "\n", + " [[1.2289],\n", + " [0.4466],\n", + " [1.1736],\n", + " ...,\n", + " [0.7778],\n", + " [0.6901],\n", + " [0.4500]]],\n", + "\n", + "\n", + " [[[1.1918],\n", + " [1.2357],\n", + " [1.2600],\n", + " ...,\n", + " [1.2314],\n", + " [1.2401],\n", + " [0.1630]],\n", + "\n", + " [[0.2821],\n", + " [0.8045],\n", + " [0.7802],\n", + " ...,\n", + " [1.2105],\n", + " [1.2407],\n", + " [0.4687]],\n", + "\n", + " [[0.4608],\n", + " [0.4661],\n", + " [0.7807],\n", + " ...,\n", + " [1.2458],\n", + " [1.1772],\n", + " [1.2311]],\n", + "\n", + " ...,\n", + "\n", + " [[1.2246],\n", + " [0.8841],\n", + " [0.6076],\n", + " ...,\n", + " [0.7825],\n", + " [1.2526],\n", + " [1.1856]],\n", + "\n", + " [[1.2734],\n", + " [1.0727],\n", + " [1.1944],\n", + " ...,\n", + " [0.7423],\n", + " [1.0653],\n", + " [0.8750]],\n", + "\n", + " [[1.1354],\n", + " [1.1209],\n", + " [1.2402],\n", + " ...,\n", + " [1.2126],\n", + " [1.0308],\n", + " [1.3031]]],\n", + "\n", + "\n", + " [[[1.2386],\n", + " [1.2930],\n", + " [1.3042],\n", + " ...,\n", + " [0.7917],\n", + " [0.7915],\n", + " [0.4785]],\n", + "\n", + " [[1.2936],\n", + " [1.1655],\n", + " [1.2622],\n", + " ...,\n", + " [0.4728],\n", + " [0.4047],\n", + " [0.5867]],\n", + "\n", + " [[1.0753],\n", + " [0.4757],\n", + " [0.6271],\n", + " ...,\n", + " [0.6657],\n", + " [1.1019],\n", + " [1.2806]],\n", + "\n", + " ...,\n", + "\n", + " [[1.2350],\n", + " [1.0527],\n", + " [1.2160],\n", + " ...,\n", + " [0.5807],\n", + " [0.7152],\n", + " [0.8635]],\n", + "\n", + " [[0.4774],\n", + " [0.5450],\n", + " [0.5983],\n", + " ...,\n", + " [0.6992],\n", + " [0.6305],\n", + " [1.2054]],\n", + "\n", + " [[0.5305],\n", + " [0.4711],\n", + " [0.5840],\n", + " ...,\n", + " [1.2695],\n", + " [1.2448],\n", + " [1.1936]]]], grad_fn=)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred['marginal'].factors['redshift'].scale" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a73715e6", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/other/Evaluation.ipynb b/case_studies/redshift_estimation/notebooks/other/Evaluation.ipynb new file mode 100644 index 000000000..ff141d9eb --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/other/Evaluation.ipynb @@ -0,0 +1,551 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "d3578c49", + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import numpy as np\n", + "import math\n", + "import os\n", + "import pytorch_lightning as pl\n", + "import torch\n", + "from hydra.utils import instantiate" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "33c107e3", + "metadata": {}, + "outputs": [], + "source": [ + "from os import environ\n", + "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", + "\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from bliss.main import predict\n", + "\n", + "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d390d81b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/declan/current/bliss'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.environ[\"BLISS_HOME\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "1e9e36fa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/declan/current/bliss/case_studies/redshift_estimation/notebooks'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.getcwd()" + ] + }, + { + "cell_type": "markdown", + "id": "8f8938d5", + "metadata": {}, + "source": [ + "I have stored the two checkpoints in the following locations:\n", + " 1. `/data/scratch/declan/sdss_encoder_ckpt.ckpt` for the SDSS-like galaxies\n", + " 2. `/data/scratch/declan/dc2_encoder_ckpt.ckpt` for the DC2-like galaxies" + ] + }, + { + "cell_type": "markdown", + "id": "8f7587ad", + "metadata": {}, + "source": [ + "Recall that the corresponding directories containing the data used to train these two encoder are in\n", + " 1. `/data/scratch/declan/sdss_like_galaxies` for the SDSS-like galaxies\n", + " 2. `/data/scratch/declan/dc2_like_galaxies` for the DC2-like galaxies" + ] + }, + { + "cell_type": "markdown", + "id": "1253b755", + "metadata": {}, + "source": [ + "Below, I will load the DC2 checkpoint for example. You should change both fields below to the corresponding ones for SDSS-like data. Note I give a checkpoint path and the location of the training data." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "0c941b5a", + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=\"../\", version_base=None):\n", + " cfg = compose(\"redshift\", {\n", + " \"predict.weight_save_path=/data/scratch/declan/dc2_encoder_ckpt.ckpt\",\n", + " \"cached_simulator.cached_data_path=/data/scratch/declan/dc2_like_galaxies\"\n", + " })" + ] + }, + { + "cell_type": "markdown", + "id": "3a815635", + "metadata": {}, + "source": [ + "This cell will take a while because it loads all of the training data (100 GB)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "741a689f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Global seed set to 42\n" + ] + } + ], + "source": [ + "pl.seed_everything(cfg.train.seed)\n", + "\n", + "# setup dataset and encoder\n", + "dataset = instantiate(cfg.train.data_source)\n", + "encoder = instantiate(cfg.train.encoder)" + ] + }, + { + "cell_type": "markdown", + "id": "b3df3ba0", + "metadata": {}, + "source": [ + "We aren't technically in `predict` mode so we need to manually load the checkpoint to the encoder." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "fb080edf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PATH = \"/data/scratch/declan/dc2_encoder_ckpt.ckpt\"\n", + "checkpoint = torch.load(PATH)\n", + "encoder.load_state_dict(checkpoint['state_dict'])" + ] + }, + { + "cell_type": "markdown", + "id": "20cf7e55", + "metadata": {}, + "source": [ + "Your tasks are as follows:\n", + "- From the dataset, plot representative example images (you only need a few, like 2-3. You can pick the best ones to include in the write-up).\n", + "- Feed these images through the encoder to get predictions for all quantities. Plot predictions of location (e.g. with an \"x\" market) overlaid on the top of the example images. If stuff is working well, these should be right in the center of the galaxies approximately. Can you think of any clever ways to visualize redshift predictions for one example image?\n", + "- Create a scatterplot of predicted redshift vs. true redshift for all data in the training set. You can do an out-of-sample plot for validation data as well.\n", + "- Compute metrics such as MSE and NLL averaged across the training dataset. You can also do an out-of-sample plot for validation data as well.\n", + "\n", + "\n", + "Below, I work with an example observation just to provide a quick example." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "15426e4d", + "metadata": {}, + "outputs": [], + "source": [ + "train_dataloader = dataset.train_dataloader() # the data we trained on" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "eedd5f33", + "metadata": {}, + "outputs": [], + "source": [ + "val_dataloader = dataset.val_dataloader() # didn't train on, but used to choose checkpoint I think" + ] + }, + { + "cell_type": "markdown", + "id": "b624e256", + "metadata": {}, + "source": [ + "You will have to iterate through the whole dataloader of training and/or validation data." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "c76e0cac", + "metadata": {}, + "outputs": [], + "source": [ + "observation = next(iter(train_dataloader))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "5534a7db", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['images', 'background', 'deconvolution', 'psf_params', 'tile_catalog'])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "observation.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "0eadca65", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([32, 5, 80, 80])" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "observation['images'].shape" + ] + }, + { + "cell_type": "markdown", + "id": "b34d4b63", + "metadata": {}, + "source": [ + "Recall the tile catalog contains the \"true\" values used to generate the images. " + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "92b11ecc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "observation['tile_catalog'].keys()" + ] + }, + { + "cell_type": "markdown", + "id": "9161e25e", + "metadata": {}, + "source": [ + "Let's use the untrained encoder for prediction (it should perform very badly). " + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "a5d44a88", + "metadata": {}, + "outputs": [], + "source": [ + "est_cat = encoder.sample(observation, use_mode=True) # I'm using the mode to predict" + ] + }, + { + "cell_type": "markdown", + "id": "3c81ebfc", + "metadata": {}, + "source": [ + "The estimated catalog `est_cat` now contains the predicted values for each quantity. We can compre to the ground truth above." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "75206f21", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'star_fluxes', 'source_type', 'galaxy_params', 'galaxy_fluxes', 'redshifts'])" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "est_cat = est_cat.to_dict()\n", + "est_cat.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "3a5db8cc", + "metadata": {}, + "source": [ + "When `observation` is passed to `encoder`, the encoder ignores the ground truth `observation['tile_catalog']` to make the prediction obviously. But now we can compare the prediction to the ground truth." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "d3d20670", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[1.3300, 1.3700, 1.3200, 1.3300, 1.3500, 1.3100, 1.3500, 1.3100, 1.3400,\n", + " 1.3600, 1.3600, 1.3700, 1.3200, 1.3200, 1.3500, 1.3800, 1.3800, 1.4900],\n", + " [1.3500, 1.3700, 1.3100, 1.3400, 1.3600, 1.3300, 1.4000, 1.3800, 1.3600,\n", + " 1.3400, 1.3800, 1.3600, 1.3700, 1.3200, 1.3600, 1.4100, 1.4000, 1.4200],\n", + " [1.3500, 1.3500, 1.3200, 1.3300, 1.3300, 1.3300, 1.3800, 1.4000, 1.3600,\n", + " 1.3300, 1.4000, 1.3400, 1.3500, 1.3400, 1.3500, 1.3900, 1.3500, 1.3300],\n", + " [1.3300, 1.3000, 1.4000, 1.3100, 1.3900, 1.3200, 1.3500, 1.3800, 1.3300,\n", + " 1.3500, 1.4100, 1.2900, 1.4300, 1.3800, 1.3700, 1.3500, 1.4100, 1.3500],\n", + " [1.3500, 1.3500, 1.2900, 1.3500, 1.3500, 1.3300, 1.3400, 1.3400, 1.4200,\n", + " 1.3800, 1.3800, 1.3400, 1.4000, 1.4200, 1.3300, 1.3300, 1.3700, 1.3500],\n", + " [1.3600, 1.2900, 1.3300, 1.3300, 1.3200, 1.3300, 1.3300, 1.3400, 1.3400,\n", + " 1.3400, 1.3300, 1.3100, 1.3300, 1.3200, 1.3400, 1.3500, 1.3500, 1.3300],\n", + " [1.3600, 1.2800, 1.3700, 1.3300, 1.3400, 1.3600, 1.3300, 1.3600, 1.3500,\n", + " 1.3600, 1.3300, 1.3300, 1.3500, 1.3400, 1.3500, 1.3000, 1.3000, 1.3400],\n", + " [1.3500, 1.3000, 1.3600, 1.3600, 1.3700, 1.3400, 1.3300, 1.3400, 1.3300,\n", + " 1.3200, 1.3500, 1.3500, 1.3700, 1.3400, 1.3100, 1.3200, 1.2600, 1.3100],\n", + " [1.3100, 1.3000, 1.3500, 1.3900, 1.3900, 1.3300, 1.3700, 1.3500, 1.4000,\n", + " 1.3400, 1.3700, 1.3500, 1.4000, 1.3100, 1.3300, 1.3500, 1.3000, 1.3500],\n", + " [1.3700, 1.3300, 1.3100, 1.3100, 1.3400, 1.3700, 1.3300, 1.3100, 1.4200,\n", + " 1.3800, 1.3500, 1.3400, 1.4000, 1.3900, 1.3400, 1.3400, 1.3100, 1.3300],\n", + " [1.3700, 1.3000, 1.2900, 1.3200, 1.3300, 1.3100, 1.3600, 1.3700, 1.3600,\n", + " 1.3400, 1.3400, 1.3100, 1.3400, 1.3600, 1.4200, 1.3500, 1.3500, 1.3100],\n", + " [1.3300, 1.3800, 1.3400, 1.3300, 1.3500, 1.3200, 1.3300, 1.3100, 1.3500,\n", + " 1.3600, 1.3500, 1.3700, 1.4100, 1.3200, 1.3800, 1.3300, 1.3300, 1.3400],\n", + " [1.3300, 1.3400, 1.3300, 1.3900, 1.3600, 1.3200, 1.3100, 1.3800, 1.3200,\n", + " 1.4700, 1.3300, 1.3100, 1.4000, 1.3100, 1.3300, 1.3300, 1.3000, 1.3700],\n", + " [1.3300, 1.3200, 1.3400, 1.3900, 1.3300, 1.3300, 1.3300, 1.3300, 1.3400,\n", + " 1.3500, 1.3200, 1.3300, 1.3300, 1.3300, 1.3400, 1.2700, 1.3300, 1.4700],\n", + " [1.3900, 1.3500, 1.3400, 1.3200, 1.3200, 1.3400, 1.3900, 1.3100, 1.3300,\n", + " 1.3400, 1.3400, 1.3100, 1.3800, 1.3700, 1.3300, 1.3600, 1.3400, 1.3400],\n", + " [1.4300, 1.3600, 1.3300, 1.3500, 1.3400, 1.3900, 1.3200, 1.3200, 1.3100,\n", + " 1.3700, 1.3600, 1.3700, 1.3600, 1.3400, 1.3200, 1.3400, 1.3600, 1.3200],\n", + " [1.3700, 1.3300, 1.3300, 1.3500, 1.3100, 1.3600, 1.3100, 1.3500, 1.3600,\n", + " 1.3700, 1.3900, 1.2700, 1.3800, 1.3100, 1.3500, 1.3400, 1.3300, 1.3300],\n", + " [1.3700, 1.3200, 1.3400, 1.3400, 1.3600, 1.3200, 1.2800, 1.3300, 1.3300,\n", + " 1.3700, 1.4500, 1.3700, 1.3700, 1.3000, 1.3300, 1.3300, 1.2900, 1.3300]],\n", + " grad_fn=)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.round(est_cat['redshifts'][0].reshape(18,18), decimals=2) # for one image" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "a6d21dbc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([20, 20, 1, 1])" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "observation['tile_catalog']['redshifts'][0].shape" + ] + }, + { + "cell_type": "markdown", + "id": "9c70736e", + "metadata": {}, + "source": [ + "The shapes are off, as we see that our estimated catalog is 18x18. This is because when training on the true images, the edge is filtered out. We can ignore it as well. " + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "58694b55", + "metadata": {}, + "outputs": [], + "source": [ + "true_redshifts = observation['tile_catalog']['redshifts'][0][1:-1, 1:-1].reshape((18,18))" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "e3356723", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[0.4424, 1.2134, 2.8498, 1.9530, 0.5773, 0.5007, 0.9868, 2.4184, 1.1428,\n", + " 0.4347, 0.5634, 1.6868, 0.4143, 1.6364, 2.8903, 0.5156, 1.9588, 0.4310],\n", + " [0.6704, 2.3828, 0.9407, 2.6686, 0.5478, 1.0735, 0.5573, 2.7453, 2.8398,\n", + " 2.0776, 1.4965, 1.2019, 2.1638, 0.7854, 2.0735, 1.5511, 1.1001, 0.8776],\n", + " [0.1326, 1.4051, 2.2161, 1.8173, 1.0458, 2.9106, 2.1056, 1.1803, 0.1648,\n", + " 1.1238, 1.2248, 1.7003, 1.2856, 0.6593, 0.9938, 2.2289, 2.4001, 2.4243],\n", + " [0.8146, 1.7009, 0.6363, 0.9262, 1.6455, 1.0841, 0.5214, 1.3127, 0.4255,\n", + " 0.6747, 2.0102, 2.2205, 1.0597, 1.7882, 0.8592, 2.5242, 0.7988, 0.8940],\n", + " [0.6264, 0.7303, 0.6737, 0.8170, 1.4574, 1.8295, 1.2547, 1.5315, 0.9660,\n", + " 0.7526, 0.7736, 1.8675, 0.8731, 0.9475, 1.9461, 2.3829, 1.4235, 1.3090],\n", + " [1.2252, 0.9115, 1.0557, 0.9719, 0.5587, 0.5436, 0.5807, 0.3490, 0.3271,\n", + " 2.5016, 1.2764, 0.5977, 1.4651, 2.8698, 0.4914, 1.2269, 1.1538, 0.4595],\n", + " [2.0515, 2.5911, 0.6990, 0.4672, 1.9981, 1.5460, 0.8947, 2.9265, 1.1094,\n", + " 0.5227, 0.8124, 2.6757, 0.5131, 2.0876, 1.0579, 0.5281, 1.0678, 1.6351],\n", + " [1.4997, 0.4336, 0.6158, 1.7227, 1.6189, 0.8690, 2.8882, 0.9445, 0.4696,\n", + " 2.6392, 1.4398, 0.7631, 2.1878, 1.8018, 0.8933, 0.4142, 1.7922, 1.4057],\n", + " [2.4442, 1.1725, 2.5615, 1.5456, 0.7091, 0.4417, 0.7532, 1.2216, 1.8405,\n", + " 1.0114, 0.8838, 1.0009, 1.8682, 0.3149, 1.5213, 1.8545, 1.4063, 2.5931],\n", + " [2.3766, 0.5888, 0.8878, 1.9363, 1.1658, 0.5123, 0.6666, 0.7944, 0.7655,\n", + " 1.9147, 2.5979, 2.5385, 1.4867, 1.8856, 1.0242, 1.4960, 2.5435, 2.1964],\n", + " [0.3977, 2.5574, 1.2993, 0.5706, 0.5476, 2.4449, 0.7271, 0.7291, 1.4158,\n", + " 2.4398, 1.1905, 0.4516, 1.0111, 1.2499, 2.3482, 0.5771, 0.5883, 1.8748],\n", + " [1.3497, 0.8043, 2.1478, 1.4849, 0.7809, 1.4686, 1.4898, 1.8572, 0.7222,\n", + " 1.8991, 0.9300, 0.5403, 0.3649, 1.0093, 1.6537, 1.0489, 0.7760, 0.6347],\n", + " [1.5134, 1.3194, 1.4499, 2.3015, 0.8850, 0.5468, 2.3873, 0.3483, 1.1100,\n", + " 0.9315, 1.5860, 1.7341, 1.1995, 1.6980, 2.8948, 1.9815, 0.8707, 1.5194],\n", + " [0.6471, 1.5788, 1.6137, 1.2198, 2.1081, 1.5392, 0.3085, 1.0132, 1.8255,\n", + " 0.6707, 1.3240, 1.4176, 0.5033, 0.7050, 1.5769, 1.8040, 1.3506, 2.8135],\n", + " [1.5184, 0.8569, 0.9931, 0.7718, 2.0936, 0.7825, 2.3132, 0.4706, 0.7630,\n", + " 1.9527, 2.8320, 1.0988, 0.8000, 0.6191, 1.0008, 0.7738, 2.2045, 2.6840],\n", + " [0.5577, 1.8356, 1.4067, 0.5860, 0.4534, 1.5175, 0.8037, 1.1922, 1.4674,\n", + " 0.7378, 1.4864, 0.1571, 0.5416, 1.8984, 0.6031, 2.1362, 1.3330, 1.9663],\n", + " [0.3851, 0.9298, 1.8121, 2.4736, 2.6229, 1.9146, 2.3726, 0.9810, 1.0286,\n", + " 1.1337, 1.8299, 1.0356, 1.6818, 1.0884, 2.2380, 0.6510, 1.5849, 1.1161],\n", + " [2.6771, 1.4800, 1.6787, 1.0583, 0.3244, 1.2051, 0.6191, 0.8126, 0.6321,\n", + " 2.1589, 1.2006, 0.3348, 2.9682, 1.7694, 1.2036, 2.7588, 0.8875, 2.7577]])" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "true_redshifts" + ] + }, + { + "cell_type": "markdown", + "id": "b0fef5bc", + "metadata": {}, + "source": [ + "At a glance, looks pretty poor. I suspect SDSS is better and something simply went wrong with DC2 (we'll investigate)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "05ad44ec", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/other/ReadingTruthParquets.ipynb b/case_studies/redshift_estimation/notebooks/other/ReadingTruthParquets.ipynb new file mode 100644 index 000000000..b44741081 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/other/ReadingTruthParquets.ipynb @@ -0,0 +1,323 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "08f7b6a8", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import math\n", + "import numpy as np\n", + "import torch\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "06befbeb", + "metadata": {}, + "outputs": [], + "source": [ + "import GCRCatalogs\n", + "# Command line: within virtual environment run \n", + "# python -m pip install https://github.com/LSSTDESC/gcr-catalogs/archive/v1.4.0.tar.gz#egg=GCRCatalogs[full]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e4f97dbf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/nfs/turbo/lsa-regier/'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier/')\n", + "GCRCatalogs.get_root_dir()\n", + "# need to do this in accordance with instructions at https://data.lsstdesc.org/doc/install_gcr" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "edca2c09", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['desc_cosmodc2',\n", + " 'desc_dc2_run2.2i_dr6_object',\n", + " 'desc_dc2_run2.2i_dr6_object_with_truth_match',\n", + " 'desc_dc2_run2.2i_dr6_truth',\n", + " 'desc_dc2_run2.2i_truth_galaxy_summary',\n", + " 'desc_dc2_run2.2i_truth_sn_summary',\n", + " 'desc_dc2_run2.2i_truth_sn_variability',\n", + " 'desc_dc2_run2.2i_truth_star_summary',\n", + " 'desc_dc2_run2.2i_truth_star_variability']" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# List of public catalog names\n", + "GCRCatalogs.get_public_catalog_names()" + ] + }, + { + "cell_type": "markdown", + "id": "57acc682", + "metadata": {}, + "source": [ + "We're generally going to be interested in the truth files, which we know will have redshift and photometry values for us to use. Unsure right now whether we want `truth` or `_with_truth_match`. Evidently, the truth match files contain information from the object files as well. We can explore relevant fields." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ec559992", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['flux_r',\n", + " 'flux_z',\n", + " 'mag_y',\n", + " 'host_galaxy',\n", + " 'av',\n", + " 'match_sep',\n", + " 'mag_z',\n", + " 'flux_u',\n", + " 'is_unique_truth_entry',\n", + " 'ra',\n", + " 'match_objectId',\n", + " 'rv',\n", + " 'mag_i',\n", + " 'is_nearest_neighbor',\n", + " 'cosmodc2_hp',\n", + " 'flux_y',\n", + " 'cosmodc2_id',\n", + " 'id',\n", + " 'patch',\n", + " 'mag_r',\n", + " 'flux_i',\n", + " 'id_string',\n", + " 'truth_type',\n", + " 'dec',\n", + " 'redshift',\n", + " 'mag_g',\n", + " 'flux_g',\n", + " 'tract',\n", + " 'mag_u',\n", + " 'is_good_match']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_cat = GCRCatalogs.load_catalog('desc_dc2_run2.2i_dr6_truth')\n", + "truth_cat.list_all_quantities()" + ] + }, + { + "cell_type": "markdown", + "id": "717ba01c", + "metadata": {}, + "source": [ + "Per Xinyue's work, the match files contain information on the psf and galaxy parameters that are unique to DC2. See discussion at the top of the page here: https://github.com/prob-ml/bliss/blob/dc2_script/case_studies/dc2/DC2_galaxy_psf_params.ipynb\n", + "\n", + "These PSF and Galaxy parameters may need to be incorporated into the forward model for BLISS if the goal is inference for DC2 images specifically. Maybe we won't worry about that so much for now, and we will focus on just extracting the relevant fluxes and redshifts. We can add in PSF and galaxy specifics later." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "e80da032", + "metadata": {}, + "outputs": [], + "source": [ + "# This cell may take a long time to run, about 30-50 minutes for me\n", + "# We will extract relevant quanitites and save them for later\n", + "data = truth_cat.get_quantities([\n", + " \"id\", \"match_objectId\", \"cosmodc2_id\", \"ra\", \"dec\", \"truth_type\", \n", + " \"redshift\", \"flux_g\", \"flux_i\", \"flux_r\", \"flux_u\", \"flux_y\", \"flux_z\"\n", + "])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "1c7bd593", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(764026213,)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data['id'].shape" + ] + }, + { + "cell_type": "markdown", + "id": "7081fd52", + "metadata": {}, + "source": [ + "There are 764 million+ objects. We can get more meta-info by doing the below. See https://yymao.github.io/generic-catalog-reader/#GCR.BaseGenericCatalog.get_quantities for more documentation." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ab5f55e2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'subclass_name': 'dc2_truth_match.DC2TruthMatchCatalog',\n", + " 'base_dir': '/nfs/turbo/lsa-regier/lsstdesc-public/dc2/run2.2i-dr6-v4/truth_match',\n", + " 'filename_pattern': 'truth_tract\\\\d+.parquet$',\n", + " 'as_truth_table': True,\n", + " 'description': 'DESC DC2 (Run2.2i) DR6 Truth Table for the Public Release v4',\n", + " 'creators': 'Rubin LSST DESC DC2 Team',\n", + " 'public_release': ['v4']}" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_cat.get_catalog_info()" + ] + }, + { + "cell_type": "markdown", + "id": "5690beb8", + "metadata": {}, + "source": [ + "We may want to filter down some of these. For example, to start, maybe we should only consider redshifts between 0 and 1 and aim to infer these to a reasonably high degree of accuracy. These probably just iterate through the data, so this cell also may take a long time. Following the example here: https://github.com/LSSTDESC/gcr-catalogs/blob/master/examples/GCRCatalogs%20Demo.ipynb" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e70ddb27", + "metadata": {}, + "outputs": [], + "source": [ + "from GCR import GCRQuery\n", + "\n", + "# Let's choose a small RA and Dec range to do the matching so that it won't take too long!\n", + "ra_min, ra_max = 55.5, 56.0\n", + "dec_min, dec_max = -29.0, -28.5\n", + "redshift_min, redshift_max = 0.0, 1.0\n", + "\n", + "coord_cut = GCRQuery(\n", + " 'ra >= {}'.format(ra_min),\n", + " 'ra < {}'.format(ra_max),\n", + " 'dec >= {}'.format(dec_min),\n", + " 'dec < {}'.format(dec_max),\n", + ")\n", + "\n", + "redshift_cut = GCRQuery(\n", + " 'redshift >= {}'.format(redshift_min),\n", + " 'redshift < {}'.format(redshift_max),\n", + ")\n", + "\n", + "magnitude_filters = GCRQuery(\n", + " (np.isfinite, 'flux_i'),\n", + " 'flux_i > 1e3',\n", + ")\n", + "\n", + "data_subset = (coord_cut & magnitude_filters & redshift_cut).filter(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "c48eec6c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(13185,)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_subset['id'].shape" + ] + }, + { + "cell_type": "markdown", + "id": "b051c2cf", + "metadata": {}, + "source": [ + "This is a very restrictive cut due to the ra and dec ranges specified, just for example. We will not need such cuts, but may add some cuts on flux or magnitude, for example." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12017b6e", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometry.ipynb b/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometry.ipynb new file mode 100644 index 000000000..b263fb273 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometry.ipynb @@ -0,0 +1,2059 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "d3578c49", + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import numpy as np\n", + "import math\n", + "import os\n", + "import pytorch_lightning as pl\n", + "import torch\n", + "from hydra.utils import instantiate\n", + "import matplotlib.pyplot as plt\n", + "from case_studies.redshift_estimation.catalog import RedshiftFullCatalog, RedshiftTileCatalog\n", + "from bliss.encoder.plotting import plot_detections, my_plot_detections\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import torch.nn as nn\n", + "from einops import rearrange, reduce, repeat" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "33c107e3", + "metadata": {}, + "outputs": [], + "source": [ + "from os import environ\n", + "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", + "\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from bliss.main import predict\n", + "\n", + "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2827e204", + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=\"../\", version_base=None):\n", + " cfg = compose(\"redshift\", {\n", + " \"predict.weight_save_path=/data/scratch/declan/sdss_encoder_ckpt.ckpt\",\n", + " \"cached_simulator.cached_data_path=/data/scratch/declan/sdss_like_galaxies\"\n", + " })" + ] + }, + { + "cell_type": "markdown", + "id": "b437af38", + "metadata": {}, + "source": [ + "### Semi-Synthetic Data: SDSS" + ] + }, + { + "cell_type": "markdown", + "id": "bb79bfa7", + "metadata": {}, + "source": [ + "Let's look at some images generated in this manner. We plot 10 example images, each in the $u,g,r,i,z$ bands. By default, BLISS chooses the SDSS survey with reference band $r$, and we make no modifications to this." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8b797d77", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Global seed set to 42\n" + ] + } + ], + "source": [ + "# This cell will take some time to run to load the dataset\n", + "pl.seed_everything(cfg.train.seed)\n", + "\n", + "# setup dataset and encoder\n", + "dataset = instantiate(cfg.train.data_source)\n", + "encoder = instantiate(cfg.train.encoder)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "0baa6a54", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Batch of images is of shape torch.Size([32, 5, 80, 80])\n" + ] + } + ], + "source": [ + "train_dataloader = dataset.train_dataloader() \n", + "batch = next(iter(train_dataloader))\n", + "print('Batch of images is of shape {}'.format(batch['images'].shape))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "b87a36f1", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "n_to_show = 10\n", + "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", + "axs = axs.flatten()\n", + "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", + "for img, ax in zip(imgs, axs):\n", + " ax.imshow(img)\n", + " \n", + "for a in axs:\n", + " a.set_xticklabels([])\n", + " a.set_yticklabels([])\n", + "\n", + "plt.subplots_adjust(wspace=0, hspace=0)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "0891768c", + "metadata": {}, + "source": [ + "### In-Sample Training Results: SDSS" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "8d127115", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PATH = \"/data/scratch/declan/sdss_encoder_ckpt.ckpt\"\n", + "checkpoint = torch.load(PATH)\n", + "encoder.load_state_dict(checkpoint['state_dict'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8f6bbefc", + "metadata": {}, + "outputs": [], + "source": [ + "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", + "est_cat = est_cat.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0d71c7cc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot r_band for a selected image, overlay detected source locations\n", + "image_to_show = 5\n", + "fig, ax = plt.subplots()\n", + "ax.imshow(batch['images'][image_to_show].sum(0)) # Coadd by simple summation" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "b029d759", + "metadata": {}, + "outputs": [], + "source": [ + "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", + "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", + "est_cat = encoder.sample(batch, use_mode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ef07e553", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp = encoder.tiles_to_crop * encoder.tile_slen\n", + "fig = my_plot_detections(image_to_show, batch[\"images\"], target_cat_cropped, est_cat, margin_px=mp, figsize=(6,6))" + ] + }, + { + "cell_type": "markdown", + "id": "354f8398", + "metadata": {}, + "source": [ + "### How Accurate Are The Flux Measurements?" + ] + }, + { + "cell_type": "markdown", + "id": "550601e4", + "metadata": {}, + "source": [ + "Let's examine predicted galaxy fluxes for detected sources (i.e. the flux magnitudes in bands $(u,g,r,i,z)$) and see how they compare to the true galaxy fluxes for those sources. We start with just one image from one batch." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "3ba5b929", + "metadata": {}, + "outputs": [], + "source": [ + "def u_abs_diff(pred_photometry, true_photometry):\n", + " return torch.abs(pred_photometry - true_photometry)[:,0]\n", + "\n", + "def g_abs_diff(pred_photometry, true_photometry):\n", + " return torch.abs(pred_photometry - true_photometry)[:,1]\n", + "\n", + "def r_abs_diff(pred_photometry, true_photometry):\n", + " return torch.abs(pred_photometry - true_photometry)[:,2]\n", + "\n", + "def i_abs_diff(pred_photometry, true_photometry):\n", + " return torch.abs(pred_photometry - true_photometry)[:,3]\n", + "\n", + "def z_abs_diff(pred_photometry, true_photometry):\n", + " return torch.abs(pred_photometry - true_photometry)[:,4]\n", + "\n", + "def get_photometry_diffs(batch):\n", + " true_fluxes = batch['tile_catalog']['galaxy_fluxes']\n", + " true_sources = batch['tile_catalog']['n_sources']\n", + " \n", + " est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", + " est_cat = est_cat.to_dict()\n", + " \n", + " pred_fluxes = est_cat['galaxy_fluxes']\n", + " pred_sources = est_cat['n_sources']\n", + " \n", + " image_indices, source_tiles_pred_x, source_tiles_pred_y = torch.where(pred_sources != 0)\n", + " \n", + " pred_flux = est_cat['galaxy_fluxes'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)\n", + " true_flux = batch['tile_catalog']['galaxy_fluxes'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)\n", + " \n", + " udiffs = u_abs_diff(pred_flux, true_flux)\n", + " gdiffs = g_abs_diff(pred_flux, true_flux)\n", + " rdiffs = r_abs_diff(pred_flux, true_flux)\n", + " idiffs = i_abs_diff(pred_flux, true_flux)\n", + " zdiffs = z_abs_diff(pred_flux, true_flux)\n", + " \n", + " return udiffs, gdiffs, rdiffs, idiffs, zdiffs\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "abc38d57", + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "On batch 0...\n", + "On batch 10...\n", + "On batch 20...\n", + "On batch 30...\n", + "On batch 40...\n", + "On batch 50...\n", + "On batch 60...\n", + "On batch 70...\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[13], line 9\u001b[0m\n\u001b[1;32m 7\u001b[0m encoder\u001b[38;5;241m.\u001b[39meval()\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m idx, batch \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(train_dataloader):\n\u001b[0;32m----> 9\u001b[0m u_d, g_d, r_d, i_d, z_d \u001b[38;5;241m=\u001b[39m \u001b[43mget_photometry_diffs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 10\u001b[0m u\u001b[38;5;241m.\u001b[39mappend(u_d)\n\u001b[1;32m 11\u001b[0m g\u001b[38;5;241m.\u001b[39mappend(g_d)\n", + "Cell \u001b[0;32mIn[12], line 20\u001b[0m, in \u001b[0;36mget_photometry_diffs\u001b[0;34m(batch)\u001b[0m\n\u001b[1;32m 17\u001b[0m true_fluxes \u001b[38;5;241m=\u001b[39m batch[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtile_catalog\u001b[39m\u001b[38;5;124m'\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgalaxy_fluxes\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m 18\u001b[0m true_sources \u001b[38;5;241m=\u001b[39m batch[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtile_catalog\u001b[39m\u001b[38;5;124m'\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mn_sources\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m---> 20\u001b[0m est_cat \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msample\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muse_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# I'm using the mode to predict\u001b[39;00m\n\u001b[1;32m 21\u001b[0m est_cat \u001b[38;5;241m=\u001b[39m est_cat\u001b[38;5;241m.\u001b[39mto_dict()\n\u001b[1;32m 23\u001b[0m pred_fluxes \u001b[38;5;241m=\u001b[39m est_cat[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgalaxy_fluxes\u001b[39m\u001b[38;5;124m'\u001b[39m]\n", + "File \u001b[0;32m~/current/bliss/bliss/encoder/encoder.py:179\u001b[0m, in \u001b[0;36mEncoder.sample\u001b[0;34m(self, batch, use_mode)\u001b[0m\n\u001b[1;32m 176\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmarginal_detections\u001b[39m(pred_marginal): \u001b[38;5;66;03m# noqa: WPS430\u001b[39;00m\n\u001b[1;32m 177\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pred_marginal\u001b[38;5;241m.\u001b[39msample(use_mode\u001b[38;5;241m=\u001b[39muse_mode)\n\u001b[0;32m--> 179\u001b[0m pred \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minfer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmarginal_detections\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 181\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39muse_checkerboard:\n\u001b[1;32m 182\u001b[0m est_cat \u001b[38;5;241m=\u001b[39m pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhistory_cat\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n", + "File \u001b[0;32m~/current/bliss/bliss/encoder/encoder.py:156\u001b[0m, in \u001b[0;36mEncoder.infer\u001b[0;34m(self, batch, history_callback)\u001b[0m\n\u001b[1;32m 154\u001b[0m x_features \u001b[38;5;241m=\u001b[39m x_features\u001b[38;5;241m.\u001b[39mdetach() \u001b[38;5;66;03m# is this helpful? doing it here to match old code\u001b[39;00m\n\u001b[1;32m 155\u001b[0m pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx_features\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m x_features\n\u001b[0;32m--> 156\u001b[0m pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmarginal\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvd_spec\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmake_dist\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat_marginal\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 158\u001b[0m history_cat \u001b[38;5;241m=\u001b[39m history_callback(pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmarginal\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m 159\u001b[0m pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhistory_cat\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m history_cat\n", + "File \u001b[0;32m~/current/bliss/case_studies/redshift_estimation/variational_dist.py:21\u001b[0m, in \u001b[0;36mRedshiftVariationalDistSpec.make_dist\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmake_dist\u001b[39m(\u001b[38;5;28mself\u001b[39m, x_cat):\n\u001b[1;32m 19\u001b[0m \u001b[38;5;66;03m# override this method to instantiate a subclass of VariationalGrid, e.g.,\u001b[39;00m\n\u001b[1;32m 20\u001b[0m \u001b[38;5;66;03m# one with additional distribution parameter groups\u001b[39;00m\n\u001b[0;32m---> 21\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_parse_factors\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 22\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m RedshiftVariationalDist(factors, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msurvey_bands, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtile_slen)\n", + "File \u001b[0;32m~/current/bliss/bliss/encoder/variational_dist.py:48\u001b[0m, in \u001b[0;36mVariationalDistSpec._parse_factors\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 45\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\u001b[38;5;28mzip\u001b[39m(names, dist_params_split))\n\u001b[1;32m 47\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m factors\u001b[38;5;241m.\u001b[39mitems():\n\u001b[0;32m---> 48\u001b[0m factors[k] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfactor_specs\u001b[49m\u001b[43m[\u001b[49m\u001b[43mk\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_dist\u001b[49m\u001b[43m(\u001b[49m\u001b[43mv\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 50\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m factors\n", + "File \u001b[0;32m~/current/bliss/bliss/encoder/unconstrained_dists.py:132\u001b[0m, in \u001b[0;36mUnconstrainedLogNormal.get_dist\u001b[0;34m(self, params)\u001b[0m\n\u001b[1;32m 130\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_dist\u001b[39m(\u001b[38;5;28mself\u001b[39m, params):\n\u001b[1;32m 131\u001b[0m mu \u001b[38;5;241m=\u001b[39m params[:, :, :, \u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m--> 132\u001b[0m sigma \u001b[38;5;241m=\u001b[39m \u001b[43mparams\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mclamp\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m6\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexp\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msqrt\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 133\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m LogNormal(mu, sigma, validate_args\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "u = []\n", + "g = []\n", + "r = []\n", + "i = []\n", + "z = []\n", + "\n", + "encoder.eval()\n", + "for idx, batch in enumerate(train_dataloader):\n", + " u_d, g_d, r_d, i_d, z_d = get_photometry_diffs(batch)\n", + " u.append(u_d)\n", + " g.append(g_d)\n", + " r.append(r_d)\n", + " i.append(i_d)\n", + " z.append(z_d)\n", + " \n", + " if idx % 10 == 0:\n", + " print(\"On batch {}...\".format(idx))\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "b5815238", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_hists(band_batches, label=None):\n", + " all_diffs = torch.cat(band_batches).detach()\n", + " num_outliers = (all_diffs > 1000).sum()\n", + " all_diffs = all_diffs[torch.where(all_diffs <= 1000)]\n", + " fig,ax = plt.subplots()\n", + " ax.hist(all_diffs, bins=1000)\n", + " ax.set_xlim(0, 40)\n", + " ax.set_title('Photometry Abs Diffs Band {}'.format(label))\n", + " plt.show()\n", + " return\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "4080a391", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkIAAAGzCAYAAADDgXghAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA5r0lEQVR4nO3deVxWZf7/8TegNyAKuLBIIuKSS26liWjZIl8xqdScGbdp1FwmByulzKx+as5i2VRabjk22pSaOo32TcskVJwSUzHGZZJJB0NHEVOBRAWV6/dHw/l6B+YGElyv5+NxHnGf8znn/lz30Xh7ttvDGGMEAABgIc+KbgAAAKCiEIQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhIArtGjRInl4eGj79u0V3QpKcffdd6t169YV3YabjRs3ysPDQxs3bnSb/84776hFixaqXr26AgMDnfkvv/yyGjduLC8vL7Vv3/6G9nqjeHh4aMqUKRXdBuAgCMF6xQGnePLx8dHNN9+sMWPG6OjRo+X63kuWLNGMGTPK9T3KykcffVRhv8BycnLk4+MjDw8PffXVVxXSw4EDB9z+nFSvXl316tVTly5d9OyzzyozM/OKtrN3714NHTpUTZo00Z/+9CfNnz9fkrRu3To9/fTT6tq1qxYuXKg//OEP19Vvo0aNSvy5btasmcaPH68TJ05c17aBqqRaRTcA/FRMnTpVkZGROnv2rD777DPNnTtXH330kXbv3q0aNWqUy3suWbJEu3fv1tixY8tl+2Xpo48+0uzZsyskDK1YsUIeHh4KDQ3V4sWL9bvf/e6G91Bs4MCB6tWrl4qKinTy5Elt27ZNM2bM0MyZM/XWW29pwIABTm23bt105swZuVwuZ97GjRtVVFSkmTNnqmnTps789evXy9PTU2+99ZZb/fVo3769nnzySUnS2bNnlZqaqhkzZig5OVlbt24tk/cAKjuCEPBf9913nzp27ChJGjFihOrWratXX31VH3zwgQYOHFjB3VUu58+fV1FRUZn9Qn/33XfVq1cvRUREaMmSJRUahG677Tb98pe/dJv3zTffqEePHhoyZIhatmypdu3aSZI8PT3l4+PjVpudnS1JbqfEiuf7+vqW2WcmSTfddJNbryNGjFDNmjX1xz/+UV9//bWaNWtWZu8FVFacGgMu4d5775UkZWRkuM0vKChQQkKCgoKC5Ofnp759++rYsWMl1p8zZ45uueUWeXt7KywsTPHx8crJyXGW33333VqzZo2++eYb5/RFo0aNnOXZ2dkaPny4QkJC5OPjo3bt2untt992e4/i0zV//OMfNXv2bDVu3Fg1atRQjx49dPDgQRlj9Nvf/lYNGjSQr6+vevfuXeppkY8//lh33nmn/Pz8VKtWLcXFxWnPnj3O8qFDh2r27NmS5Ha65Yc9zJgxQ02aNJG3t7e2bt0qPz8/PfHEEyXe79ChQ/Ly8tK0adMusxekzMxM/f3vf9eAAQM0YMAAZWRkaPPmzZesT01NVZcuXeTr66vIyEjNmzevRM0bb7yhW265RTVq1FDt2rXVsWNHLVmy5LK9XEpERIQWLVqkwsJCTZ8+3Zn/w2uEGjVqpMmTJ0uSgoKCnOtlPDw8tHDhQuXn5zuf7aJFiyRJiYmJuuOOOxQYGKiaNWuqefPmevbZZ6+519DQUElStWr/9+/gnTt3aujQoWrcuLF8fHwUGhqqRx55RMePH3dbt7jXffv2aejQoQoMDFRAQICGDRum06dPu9UWFBRo3LhxCgoKUq1atfTggw/q0KFDV9Rj8enqAwcOuM2/1DVXwPXgiBBwCfv375ck1a1b123+Y489ptq1a2vy5Mk6cOCAZsyYoTFjxmjZsmVOzZQpU/TCCy8oJiZGo0ePVnp6uubOnatt27bp888/V/Xq1fXcc88pNzdXhw4d0muvvSZJqlmzpiTpzJkzuvvuu7Vv3z6NGTNGkZGRWrFihYYOHaqcnJwS4WLx4sUqLCzUY489phMnTmj69On6xS9+oXvvvVcbN27UhAkTtG/fPr3xxht66qmn9Oc//9lZ95133tGQIUMUGxurl156SadPn9bcuXN1xx136Msvv1SjRo3061//WocPH1ZiYqLeeeedUj+vhQsX6uzZsxo1apS8vb3VsGFD9e3bV8uWLdOrr74qLy8vp3bp0qUyxmjw4MGX3Q9Lly6Vn5+f7r//fvn6+qpJkyZavHixunTpUqL25MmT6tWrl37xi19o4MCBWr58uUaPHi2Xy6VHHnlEkvSnP/1Jjz/+uH72s5/piSee0NmzZ7Vz50598cUXGjRo0GX7uZTo6Gg1adJEiYmJl6yZMWOG/vKXv2jlypWaO3euatasqbZt26pp06aaP3++tm7dqgULFkiSunTpoj179uj+++9X27ZtNXXqVHl7e2vfvn36/PPPr6inc+fO6dtvv5X0/amxL7/8Uq+++qq6deumyMhIpy4xMVH//ve/NWzYMIWGhmrPnj2aP3++9uzZoy1btjiht9gvfvELRUZGatq0adqxY4cWLFig4OBgvfTSS07NiBEj9O6772rQoEHq0qWL1q9fr7i4uCv+PIEbxgCWW7hwoZFkPv30U3Ps2DFz8OBB895775m6desaX19fc+jQIbe6mJgYU1RU5Kw/btw44+XlZXJycowxxmRnZxuXy2V69OhhLly44NTNmjXLSDJ//vOfnXlxcXEmIiKiRE8zZswwksy7777rzCssLDTR0dGmZs2aJi8vzxhjTEZGhpFkgoKCnPc3xpiJEycaSaZdu3bm3LlzzvyBAwcal8tlzp49a4wx5rvvvjOBgYFm5MiRbu+flZVlAgIC3ObHx8eb0v6XUdyDv7+/yc7Odlv2ySefGEnm448/dpvftm1bc9ddd5XYVmnatGljBg8e7Lx+9tlnTb169dzGZYwxd911l5FkXnnlFWdeQUGBad++vQkODjaFhYXGGGN69+5tbrnllit674sVj/Pll1++ZE3v3r2NJJObm2uMMWbDhg1GktmwYYNTM3nyZCPJHDt2zG3dIUOGGD8/P7d5r732Wqm1VyIiIsJIKjF17drVfPvtt261p0+fLrH+0qVLjSSzadOmEr0/8sgjbrV9+/Y1devWdV6npaUZSeY3v/mNW92gQYOMJDN58uQf7b3471pGRobb/NI+T+B6cWoM+K+YmBgFBQUpPDxcAwYMUM2aNbVy5UrddNNNbnWjRo1y+xfynXfeqQsXLuibb76RJH366acqLCzU2LFj5en5f3/FRo4cKX9/f61Zs+ayvXz00UcKDQ11uzapevXqevzxx3Xq1CklJye71f/85z9XQECA8zoqKkqS9Mtf/tLtFEhUVJQKCwv1n//8R9L3RwJycnI0cOBAffvtt87k5eWlqKgobdiw4bK9FuvXr5+CgoLc5sXExCgsLEyLFy925u3evVs7d+4scZ1NaXbu3Kldu3a5fQ7FvX7yyScl6qtVq6Zf//rXzmuXy6Vf//rXys7OVmpqqqTvr805dOiQtm3bdsVju1LFR/S+++67Mtle8XVEH3zwgYqKiq56/aioKCUmJioxMVGrV6/W73//e+3Zs0cPPvigzpw549T5+vo6P589e1bffvutOnfuLEnasWNHie0++uijbq/vvPNOHT9+XHl5eZK+//MrSY8//rhbXWW4KQD2IQgB/zV79mwlJiZqw4YN+uc//6l///vfio2NLVHXsGFDt9e1a9eW9P1pGUlOIGrevLlbncvlUuPGjZ3lP+abb75Rs2bN3IKUJLVs2dLtPS7VU3EoCg8PL3V+ca9ff/21pO+vhwoKCnKb1q1b51zYeyUuPtVSzNPTU4MHD9aqVauca0gWL14sHx8f/fznP7/sNt999135+fmpcePG2rdvn/bt2ycfHx81atTILVwVCwsLk5+fn9u8m2++WZKc600mTJigmjVrqlOnTmrWrJni4+Ov+FTT5Zw6dUqSVKtWrTLZXv/+/dW1a1eNGDFCISEhGjBggJYvX37FoahevXqKiYlRTEyM4uLi9Oyzz2rBggXavHmzcwpOkk6cOKEnnnhCISEh8vX1VVBQkLM/c3NzS2z3Sv4OeHp6qkmTJm51P/w7AfwUcI0Q8F+dOnVy7hr7MRdf63IxY0xZt3TFLtXT5Xot/oX6zjvvOBfRXuzio0mXc/FRhYv96le/0ssvv6xVq1Zp4MCBWrJkie6//363I1iX6nHp0qXKz89Xq1atSizPzs7WqVOnnKMwV6ply5ZKT0/X6tWrtXbtWr3//vuaM2eOJk2apBdeeOGqtvVDu3fvVnBwsPz9/a9rO8V8fX21adMmbdiwQWvWrNHatWu1bNky3XvvvVq3bt0l9++P6d69uyRp06ZNeuyxxyR9f83P5s2bNX78eLVv3141a9ZUUVGRevbsWWroKu+/Az+8JqnYhQsXymT7wMUIQkAZi4iIkCSlp6ercePGzvzCwkJlZGQoJibGmXep/+FHRERo586dKioqcjsqtHfvXrf3uF7F/2IPDg5266s0l+r1clq3bq1bb71VixcvVoMGDZSZmak33njjsuslJyfr0KFDmjp1qnMkrNjJkyc1atQorVq1yu0U2+HDh5Wfn+92VOhf//qXJLndkefn56f+/furf//+Kiws1EMPPaTf//73mjhxYonb3a9USkqK9u/ff0Wn/K6Gp6enunfvru7du+vVV1/VH/7wBz333HPasGHDZfdZac6fPy/p/45enTx5UklJSXrhhRc0adIkp674aOG1iIiIUFFRkfbv3+92FCg9Pf2K1i8+wnTxXZZSySOhQFng1BhQxmJiYuRyufT666+7/Qv5rbfeUm5urtudM35+fqWeeujVq5eysrLc7kQ7f/683njjDdWsWVN33XVXmfQaGxsrf39//eEPf9C5c+dKLL/4sQDF4eKHv5yuxMMPP6x169ZpxowZqlu3ru67777LrlN8Wmz8+PH62c9+5jaNHDlSzZo1K3F67Pz583rzzTed14WFhXrzzTcVFBSkDh06SFKJW8JdLpdatWolY0ypn8GV+OabbzR06FC5XC6NHz/+mrZRmtIedVD81RsFBQXXtM0PP/xQkpxnHRUf3fnh0ZzreeJ58f59/fXXr2mbxQF906ZNzrwLFy44T+EGyhJHhIAyFhQUpIkTJ+qFF15Qz5499eCDDyo9PV1z5szR7bff7nbEoEOHDlq2bJkSEhJ0++23q2bNmnrggQc0atQovfnmmxo6dKhSU1PVqFEj/fWvf9Xnn3+uGTNmlNk1KP7+/po7d64efvhh3XbbbRowYICCgoKUmZmpNWvWqGvXrpo1a5bTq/T9BbCxsbHy8vJye4ryjxk0aJCefvpprVy5UqNHj1b16tV/tL6goEDvv/++/ud//ueSR2gefPBBzZw5U9nZ2QoODpb0/TVCL730kg4cOKCbb75Zy5YtU1pamubPn++8Z48ePRQaGqquXbsqJCREX331lWbNmqW4uLgr+lx37Nihd999V0VFRcrJydG2bdv0/vvvy8PDQ++8847atm17RZ/JlZg6dao2bdqkuLg4RUREKDs7W3PmzFGDBg10xx13XHb9//znP3r33XclfR8K//GPf+jNN99UvXr1nNNi/v7+6tatm6ZPn65z587ppptu0rp160o8P+tqtG/fXgMHDtScOXOUm5urLl26KCkpSfv27bui9W+55RZ17txZEydO1IkTJ1SnTh299957ztEsoExV4B1rwE9C8a2627Ztu6a6S93SO2vWLNOiRQtTvXp1ExISYkaPHm1OnjzpVnPq1CkzaNAgExgYaCS53Up/9OhRM2zYMFOvXj3jcrlMmzZtzMKFC93Wv9Qt3cU9rVix4orHEBsbawICAoyPj49p0qSJGTp0qNm+fbtTc/78efPYY4+ZoKAg4+Hh4dxKfyW3lRtjTK9evYwks3nz5h+tM8aY999/30gyb7311iVrNm7caCSZmTNnGmO+v33+lltuMdu3bzfR0dHGx8fHREREmFmzZrmt9+abb5pu3bqZunXrGm9vb9OkSRMzfvx455b3SykeZ/FUrVo1U6dOHRMVFWUmTpxovvnmmxLrXO/t80lJSaZ3794mLCzMuFwuExYWZgYOHGj+9a9//WivxpS8fd7T09MEBwebgQMHmn379rnVHjp0yPTt29cEBgaagIAA8/Of/9wcPny4xK3ul+q9tNvdz5w5Yx5//HFTt25d4+fnZx544AFz8ODBK7p93hhj9u/fb2JiYoy3t7cJCQkxzz77rElMTOT2eZQ5D2Mq8ApPANbo27evdu3adcVHBQDgRuAaIQDl7siRI1qzZo0efvjhim4FANxwjRCAcpORkaHPP/9cCxYsUPXq1d0edggAPwUcEQJQbpKTk/Xwww8rIyNDb7/9dqnPKgKAisQ1QgAAwFocEQIAANYiCAEAAGtZfbF0UVGRDh8+rFq1al3z1wcAAIAbyxij7777TmFhYSW+nPpqWR2EDh8+XOLbuQEAQOVw8OBBNWjQ4Lq2YXUQKn6c/sGDB8vs26IBAED5ysvLU3h4eJl83ZDVQaj4dJi/vz9BCACASqYsLmvhYmkAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAa1Wr6AZ+ClpP/kSe3jWuqPbAi3Hl3A0AALhROCIEAACsRRACAADWIggBAABrEYQAAIC1rioITZs2Tbfffrtq1aql4OBg9enTR+np6W41d999tzw8PNymRx991K0mMzNTcXFxqlGjhoKDgzV+/HidP3/erWbjxo267bbb5O3traZNm2rRokUl+pk9e7YaNWokHx8fRUVFaevWrVczHAAAYLmrCkLJycmKj4/Xli1blJiYqHPnzqlHjx7Kz893qxs5cqSOHDniTNOnT3eWXbhwQXFxcSosLNTmzZv19ttva9GiRZo0aZJTk5GRobi4ON1zzz1KS0vT2LFjNWLECH3yySdOzbJly5SQkKDJkydrx44dateunWJjY5WdnX2tnwUAALCMhzHGXOvKx44dU3BwsJKTk9WtWzdJ3x8Rat++vWbMmFHqOh9//LHuv/9+HT58WCEhIZKkefPmacKECTp27JhcLpcmTJigNWvWaPfu3c56AwYMUE5OjtauXStJioqK0u23365Zs2ZJkoqKihQeHq7HHntMzzzzzBX1n5eXp4CAAIWPXc7t8wAAVBLFv79zc3Pl7+9/Xdu6rmuEcnNzJUl16tRxm7948WLVq1dPrVu31sSJE3X69GlnWUpKitq0aeOEIEmKjY1VXl6e9uzZ49TExMS4bTM2NlYpKSmSpMLCQqWmprrVeHp6KiYmxqkpTUFBgfLy8twmAABgr2t+oGJRUZHGjh2rrl27qnXr1s78QYMGKSIiQmFhYdq5c6cmTJig9PR0/e1vf5MkZWVluYUgSc7rrKysH63Jy8vTmTNndPLkSV24cKHUmr17916y52nTpumFF1641iEDAIAq5pqDUHx8vHbv3q3PPvvMbf6oUaOcn9u0aaP69eure/fu2r9/v5o0aXLtnZaBiRMnKiEhwXmdl5en8PDwCuwIAABUpGsKQmPGjNHq1au1adMmNWjQ4Edro6KiJEn79u1TkyZNFBoaWuLurqNHj0qSQkNDnf8Wz7u4xt/fX76+vvLy8pKXl1epNcXbKI23t7e8vb2vbJAAAKDKu6prhIwxGjNmjFauXKn169crMjLysuukpaVJkurXry9Jio6O1q5du9zu7kpMTJS/v79atWrl1CQlJbltJzExUdHR0ZIkl8ulDh06uNUUFRUpKSnJqQEAALicqzoiFB8fryVLluiDDz5QrVq1nGt6AgIC5Ovrq/3792vJkiXq1auX6tatq507d2rcuHHq1q2b2rZtK0nq0aOHWrVqpYcffljTp09XVlaWnn/+ecXHxztHax599FHNmjVLTz/9tB555BGtX79ey5cv15o1a5xeEhISNGTIEHXs2FGdOnXSjBkzlJ+fr2HDhpXVZwMAAKq4qwpCc+fOlfT9LfIXW7hwoYYOHSqXy6VPP/3UCSXh4eHq16+fnn/+eafWy8tLq1ev1ujRoxUdHS0/Pz8NGTJEU6dOdWoiIyO1Zs0ajRs3TjNnzlSDBg20YMECxcbGOjX9+/fXsWPHNGnSJGVlZal9+/Zau3ZtiQuoAQAALuW6niNU2fEcIQAAKp+fzHOEAAAAKjOCEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgrasKQtOmTdPtt9+uWrVqKTg4WH369FF6erpbzdmzZxUfH6+6deuqZs2a6tevn44ePepWk5mZqbi4ONWoUUPBwcEaP368zp8/71azceNG3XbbbfL29lbTpk21aNGiEv3Mnj1bjRo1ko+Pj6KiorR169arGQ4AALDcVQWh5ORkxcfHa8uWLUpMTNS5c+fUo0cP5efnOzXjxo3Thx9+qBUrVig5OVmHDx/WQw895Cy/cOGC4uLiVFhYqM2bN+vtt9/WokWLNGnSJKcmIyNDcXFxuueee5SWlqaxY8dqxIgR+uSTT5yaZcuWKSEhQZMnT9aOHTvUrl07xcbGKjs7+3o+DwAAYBEPY4y51pWPHTum4OBgJScnq1u3bsrNzVVQUJCWLFmin/3sZ5KkvXv3qmXLlkpJSVHnzp318ccf6/7779fhw4cVEhIiSZo3b54mTJigY8eOyeVyacKECVqzZo12797tvNeAAQOUk5OjtWvXSpKioqJ0++23a9asWZKkoqIihYeH67HHHtMzzzxzRf3n5eUpICBA4WOXy9O7xhWtc+DFuCv+fAAAQNkr/v2dm5srf3//69rWdV0jlJubK0mqU6eOJCk1NVXnzp1TTEyMU9OiRQs1bNhQKSkpkqSUlBS1adPGCUGSFBsbq7y8PO3Zs8epuXgbxTXF2ygsLFRqaqpbjaenp2JiYpya0hQUFCgvL89tAgAA9rrmIFRUVKSxY8eqa9euat26tSQpKytLLpdLgYGBbrUhISHKyspyai4OQcXLi5f9WE1eXp7OnDmjb7/9VhcuXCi1pngbpZk2bZoCAgKcKTw8/OoHDgAAqoxrDkLx8fHavXu33nvvvbLsp1xNnDhRubm5znTw4MGKbgkAAFSgatey0pgxY7R69Wpt2rRJDRo0cOaHhoaqsLBQOTk5bkeFjh49qtDQUKfmh3d3Fd9VdnHND+80O3r0qPz9/eXr6ysvLy95eXmVWlO8jdJ4e3vL29v76gcMAACqpKs6ImSM0ZgxY7Ry5UqtX79ekZGRbss7dOig6tWrKykpyZmXnp6uzMxMRUdHS5Kio6O1a9cut7u7EhMT5e/vr1atWjk1F2+juKZ4Gy6XSx06dHCrKSoqUlJSklMDAABwOVd1RCg+Pl5LlizRBx98oFq1ajnX4wQEBMjX11cBAQEaPny4EhISVKdOHfn7++uxxx5TdHS0OnfuLEnq0aOHWrVqpYcffljTp09XVlaWnn/+ecXHxztHax599FHNmjVLTz/9tB555BGtX79ey5cv15o1a5xeEhISNGTIEHXs2FGdOnXSjBkzlJ+fr2HDhpXVZwMAAKq4qwpCc+fOlSTdfffdbvMXLlyooUOHSpJee+01eXp6ql+/fiooKFBsbKzmzJnj1Hp5eWn16tUaPXq0oqOj5efnpyFDhmjq1KlOTWRkpNasWaNx48Zp5syZatCggRYsWKDY2Finpn///jp27JgmTZqkrKwstW/fXmvXri1xATUAAMClXNdzhCo7niMEAEDl85N5jhAAAEBlRhACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANa66iC0adMmPfDAAwoLC5OHh4dWrVrltnzo0KHy8PBwm3r27OlWc+LECQ0ePFj+/v4KDAzU8OHDderUKbeanTt36s4775SPj4/Cw8M1ffr0Er2sWLFCLVq0kI+Pj9q0aaOPPvroaocDAAAsdtVBKD8/X+3atdPs2bMvWdOzZ08dOXLEmZYuXeq2fPDgwdqzZ48SExO1evVqbdq0SaNGjXKW5+XlqUePHoqIiFBqaqpefvllTZkyRfPnz3dqNm/erIEDB2r48OH68ssv1adPH/Xp00e7d+++2iEBAABLeRhjzDWv7OGhlStXqk+fPs68oUOHKicnp8SRomJfffWVWrVqpW3btqljx46SpLVr16pXr146dOiQwsLCNHfuXD333HPKysqSy+WSJD3zzDNatWqV9u7dK0nq37+/8vPztXr1amfbnTt3Vvv27TVv3rwr6j8vL08BAQEKH7tcnt41rmidAy/GXVEdAAAoH8W/v3Nzc+Xv739d2yqXa4Q2btyo4OBgNW/eXKNHj9bx48edZSkpKQoMDHRCkCTFxMTI09NTX3zxhVPTrVs3JwRJUmxsrNLT03Xy5EmnJiYmxu19Y2NjlZKScsm+CgoKlJeX5zYBAAB7lXkQ6tmzp/7yl78oKSlJL730kpKTk3XffffpwoULkqSsrCwFBwe7rVOtWjXVqVNHWVlZTk1ISIhbTfHry9UULy/NtGnTFBAQ4Ezh4eHXN1gAAFCpVSvrDQ4YMMD5uU2bNmrbtq2aNGmijRs3qnv37mX9dldl4sSJSkhIcF7n5eURhgAAsFi53z7fuHFj1atXT/v27ZMkhYaGKjs7263m/PnzOnHihEJDQ52ao0ePutUUv75cTfHy0nh7e8vf399tAgAA9ir3IHTo0CEdP35c9evXlyRFR0crJydHqampTs369etVVFSkqKgop2bTpk06d+6cU5OYmKjmzZurdu3aTk1SUpLbeyUmJio6Orq8hwQAAKqIqw5Cp06dUlpamtLS0iRJGRkZSktLU2Zmpk6dOqXx48dry5YtOnDggJKSktS7d281bdpUsbGxkqSWLVuqZ8+eGjlypLZu3arPP/9cY8aM0YABAxQWFiZJGjRokFwul4YPH649e/Zo2bJlmjlzpttprSeeeEJr167VK6+8or1792rKlCnavn27xowZUwYfCwAAsMFVB6Ht27fr1ltv1a233ipJSkhI0K233qpJkybJy8tLO3fu1IMPPqibb75Zw4cPV4cOHfT3v/9d3t7ezjYWL16sFi1aqHv37urVq5fuuOMOt2cEBQQEaN26dcrIyFCHDh305JNPatKkSW7PGurSpYuWLFmi+fPnq127dvrrX/+qVatWqXXr1tfzeQAAAItc13OEKjueIwQAQOXzk3+OEAAAQGVAEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1rrqILRp0yY98MADCgsLk4eHh1atWuW23BijSZMmqX79+vL19VVMTIy+/vprt5oTJ05o8ODB8vf3V2BgoIYPH65Tp0651ezcuVN33nmnfHx8FB4erunTp5foZcWKFWrRooV8fHzUpk0bffTRR1c7HAAAYLGrDkL5+flq166dZs+eXery6dOn6/XXX9e8efP0xRdfyM/PT7GxsTp79qxTM3jwYO3Zs0eJiYlavXq1Nm3apFGjRjnL8/Ly1KNHD0VERCg1NVUvv/yypkyZovnz5zs1mzdv1sCBAzV8+HB9+eWX6tOnj/r06aPdu3df7ZAAAIClPIwx5ppX9vDQypUr1adPH0nfHw0KCwvTk08+qaeeekqSlJubq5CQEC1atEgDBgzQV199pVatWmnbtm3q2LGjJGnt2rXq1auXDh06pLCwMM2dO1fPPfecsrKy5HK5JEnPPPOMVq1apb1790qS+vfvr/z8fK1evdrpp3Pnzmrfvr3mzZt3Rf3n5eUpICBA4WOXy9O7xrV+DD/qwItx5bJdAABsVfz7Ozc3V/7+/te1rTK9RigjI0NZWVmKiYlx5gUEBCgqKkopKSmSpJSUFAUGBjohSJJiYmLk6empL774wqnp1q2bE4IkKTY2Vunp6Tp58qRTc/H7FNcUv09pCgoKlJeX5zYBAAB7lWkQysrKkiSFhIS4zQ8JCXGWZWVlKTg42G15tWrVVKdOHbea0rZx8XtcqqZ4eWmmTZumgIAAZwoPD7/aIQIAgCrEqrvGJk6cqNzcXGc6ePBgRbcEAAAqUJkGodDQUEnS0aNH3eYfPXrUWRYaGqrs7Gy35efPn9eJEyfcakrbxsXvcama4uWl8fb2lr+/v9sEAADsVaZBKDIyUqGhoUpKSnLm5eXl6YsvvlB0dLQkKTo6Wjk5OUpNTXVq1q9fr6KiIkVFRTk1mzZt0rlz55yaxMRENW/eXLVr13ZqLn6f4pri9wEAALicqw5Cp06dUlpamtLS0iR9f4F0WlqaMjMz5eHhobFjx+p3v/ud/vd//1e7du3Sr371K4WFhTl3lrVs2VI9e/bUyJEjtXXrVn3++ecaM2aMBgwYoLCwMEnSoEGD5HK5NHz4cO3Zs0fLli3TzJkzlZCQ4PTxxBNPaO3atXrllVe0d+9eTZkyRdu3b9eYMWOu/1MBAABWqHa1K2zfvl333HOP87o4nAwZMkSLFi3S008/rfz8fI0aNUo5OTm64447tHbtWvn4+DjrLF68WGPGjFH37t3l6empfv366fXXX3eWBwQEaN26dYqPj1eHDh1Ur149TZo0ye1ZQ126dNGSJUv0/PPP69lnn1WzZs20atUqtW7d+po+CAAAYJ/reo5QZcdzhAAAqHx+ss8RAgAAqEwIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1qlV0A1Vdo2fWXPU6B16MK4dOAADAD3FECAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALBWmQehKVOmyMPDw21q0aKFs/zs2bOKj49X3bp1VbNmTfXr109Hjx5120ZmZqbi4uJUo0YNBQcHa/z48Tp//rxbzcaNG3XbbbfJ29tbTZs21aJFi8p6KAAAoIorlyNCt9xyi44cOeJMn332mbNs3Lhx+vDDD7VixQolJyfr8OHDeuihh5zlFy5cUFxcnAoLC7V582a9/fbbWrRokSZNmuTUZGRkKC4uTvfcc4/S0tI0duxYjRgxQp988kl5DAcAAFRR1cplo9WqKTQ0tMT83NxcvfXWW1qyZInuvfdeSdLChQvVsmVLbdmyRZ07d9a6dev0z3/+U59++qlCQkLUvn17/fa3v9WECRM0ZcoUuVwuzZs3T5GRkXrllVckSS1bttRnn32m1157TbGxseUxJAAAUAWVyxGhr7/+WmFhYWrcuLEGDx6szMxMSVJqaqrOnTunmJgYp7ZFixZq2LChUlJSJEkpKSlq06aNQkJCnJrY2Fjl5eVpz549Ts3F2yiuKd7GpRQUFCgvL89tAgAA9irzIBQVFaVFixZp7dq1mjt3rjIyMnTnnXfqu+++U1ZWllwulwIDA93WCQkJUVZWliQpKyvLLQQVLy9e9mM1eXl5OnPmzCV7mzZtmgICApwpPDz8eocLAAAqsTI/NXbfffc5P7dt21ZRUVGKiIjQ8uXL5evrW9Zvd1UmTpyohIQE53VeXh5hCAAAi5X77fOBgYG6+eabtW/fPoWGhqqwsFA5OTluNUePHnWuKQoNDS1xF1nx68vV+Pv7/2jY8vb2lr+/v9sEAADsVe5B6NSpU9q/f7/q16+vDh06qHr16kpKSnKWp6enKzMzU9HR0ZKk6Oho7dq1S9nZ2U5NYmKi/P391apVK6fm4m0U1xRvAwAA4EqUeRB66qmnlJycrAMHDmjz5s3q27evvLy8NHDgQAUEBGj48OFKSEjQhg0blJqaqmHDhik6OlqdO3eWJPXo0UOtWrXSww8/rH/84x/65JNP9Pzzzys+Pl7e3t6SpEcffVT//ve/9fTTT2vv3r2aM2eOli9frnHjxpX1cAAAQBVW5tcIHTp0SAMHDtTx48cVFBSkO+64Q1u2bFFQUJAk6bXXXpOnp6f69eungoICxcbGas6cOc76Xl5eWr16tUaPHq3o6Gj5+flpyJAhmjp1qlMTGRmpNWvWaNy4cZo5c6YaNGigBQsWVJlb5xs9s+aq6g+8GFdOnQAAULV5GGNMRTdRUfLy8r6/e2zscnl616jodq4ZQQgAYJPi39+5ubnXfb0v3zUGAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLXK/NvnceNd7bfVS3xRKwAAEkeEAACAxQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABr8UBFS13tQxh5ACMAoCriiBAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLW4fR5XhNvtAQBVEUeEAACAtQhCAADAWgQhAABgLYIQAACwFhdLo1xc7cXVEhdYAwBuPI4IAQAAaxGEAACAtTg1hp8MnlUEALjROCIEAACsRRACAADW4tQYKi3uTAMAXC+OCAEAAGtxRAhW4YJsAMDFOCIEAACsRRACAADW4tQY8CM4lQYAVRtBCChD3MkGAJULQQioYBx1AoCKwzVCAADAWhwRAioZTr8BQNkhCAEW4PQbAJSOIASghGs56nS1CFsAfgoIQgAqBEepAPwUEIQAVAocpQJQHghCAPBfhC3APgQhALiBbkTYulqEM9iMIAQAlvsphrNrQaDDtSAIAQCqhKoQ6AhzN16lD0KzZ8/Wyy+/rKysLLVr105vvPGGOnXqVNFtAQBw1X6KYe5awll5j6Oo4HSZbatSB6Fly5YpISFB8+bNU1RUlGbMmKHY2Filp6crODi4otsDAKDS+ymGs7JUqb9r7NVXX9XIkSM1bNgwtWrVSvPmzVONGjX05z//uaJbAwAAlUClPSJUWFio1NRUTZw40Znn6empmJgYpaSklLpOQUGBCgoKnNe5ubmSyvYQGwAAKF/Fv7eNMde9rUobhL799ltduHBBISEhbvNDQkK0d+/eUteZNm2aXnjhhRLz/zN3aHm0CAAAytHx48cVEBBwXduotEHoWkycOFEJCQnO65ycHEVERCgzM/O6P8jKJC8vT+Hh4Tp48KD8/f0rup0bhnEzbhswbsZtg9zcXDVs2FB16tS57m1V2iBUr149eXl56ejRo27zjx49qtDQ0FLX8fb2lre3d4n5AQEBVv0BKubv78+4LcK47cK47WLruD09r/9S50p7sbTL5VKHDh2UlJTkzCsqKlJSUpKio6MrsDMAAFBZVNojQpKUkJCgIUOGqGPHjurUqZNmzJih/Px8DRs2rKJbAwAAlUClDkL9+/fXsWPHNGnSJGVlZal9+/Zau3ZtiQuoL8Xb21uTJ08u9XRZVca4GbcNGDfjtgHjvv5xe5iyuPcMAACgEqq01wgBAABcL4IQAACwFkEIAABYiyAEAACsRRACAADWsjYIzZ49W40aNZKPj4+ioqK0devWim6pXE2ZMkUeHh5uU4sWLSq6rTK3adMmPfDAAwoLC5OHh4dWrVrlttwYo0mTJql+/fry9fVVTEyMvv7664pptgxdbtxDhw4tsf979uxZMc2WoWnTpun2229XrVq1FBwcrD59+ig9Pd2t5uzZs4qPj1fdunVVs2ZN9evXr8QT6SubKxn33XffXWKfP/rooxXUcdmYO3eu2rZt6zxFOTo6Wh9//LGzvCrua+ny466K+7o0L774ojw8PDR27FhnXlnscyuD0LJly5SQkKDJkydrx44dateunWJjY5WdnV3RrZWrW265RUeOHHGmzz77rKJbKnP5+flq166dZs+eXery6dOn6/XXX9e8efP0xRdfyM/PT7GxsTp79uwN7rRsXW7cktSzZ0+3/b906dIb2GH5SE5OVnx8vLZs2aLExESdO3dOPXr0UH5+vlMzbtw4ffjhh1qxYoWSk5N1+PBhPfTQQxXY9fW7knFL0siRI932+fTp0yuo47LRoEEDvfjii0pNTdX27dt17733qnfv3tqzZ4+kqrmvpcuPW6p6+/qHtm3bpjfffFNt27Z1m18m+9xYqFOnTiY+Pt55feHCBRMWFmamTZtWgV2Vr8mTJ5t27dpVdBs3lCSzcuVK53VRUZEJDQ01L7/8sjMvJyfHeHt7m6VLl1ZAh+Xjh+M2xpghQ4aY3r17V0g/N1J2draRZJKTk40x3+/f6tWrmxUrVjg1X331lZFkUlJSKqrNMvfDcRtjzF133WWeeOKJimvqBqldu7ZZsGCBNfu6WPG4jan6+/q7774zzZo1M4mJiW5jLat9bt0RocLCQqWmpiomJsaZ5+npqZiYGKWkpFRgZ+Xv66+/VlhYmBo3bqzBgwcrMzOzolu6oTIyMpSVleW27wMCAhQVFVXl970kbdy4UcHBwWrevLlGjx6t48ePV3RLZS43N1eSnG+kTk1N1blz59z2eYsWLdSwYcMqtc9/OO5iixcvVr169dS6dWtNnDhRp0+froj2ysWFCxf03nvvKT8/X9HR0dbs6x+Ou1hV3tfx8fGKi4tz27dS2f39rtRfsXEtvv32W124cKHE13CEhIRo7969FdRV+YuKitKiRYvUvHlzHTlyRC+88ILuvPNO7d69W7Vq1aro9m6IrKwsSSp13xcvq6p69uyphx56SJGRkdq/f7+effZZ3XfffUpJSZGXl1dFt1cmioqKNHbsWHXt2lWtW7eW9P0+d7lcCgwMdKutSvu8tHFL0qBBgxQREaGwsDDt3LlTEyZMUHp6uv72t79VYLfXb9euXYqOjtbZs2dVs2ZNrVy5Uq1atVJaWlqV3teXGrdUdfe1JL333nvasWOHtm3bVmJZWf39ti4I2eq+++5zfm7btq2ioqIUERGh5cuXa/jw4RXYGW6EAQMGOD+3adNGbdu2VZMmTbRx40Z17969AjsrO/Hx8dq9e3eVvPbtx1xq3KNGjXJ+btOmjerXr6/u3btr//79atKkyY1us8w0b95caWlpys3N1V//+lcNGTJEycnJFd1WubvUuFu1alVl9/XBgwf1xBNPKDExUT4+PuX2PtadGqtXr568vLxKXFV+9OhRhYaGVlBXN15gYKBuvvlm7du3r6JbuWGK96/t+16SGjdurHr16lWZ/T9mzBitXr1aGzZsUIMGDZz5oaGhKiwsVE5Ojlt9Vdnnlxp3aaKioiSp0u9zl8ulpk2bqkOHDpo2bZratWunmTNnVvl9falxl6aq7OvU1FRlZ2frtttuU7Vq1VStWjUlJyfr9ddfV7Vq1RQSElIm+9y6IORyudShQwclJSU584qKipSUlOR2vrWqO3XqlPbv36/69etXdCs3TGRkpEJDQ932fV5enr744gur9r0kHTp0SMePH6/0+98YozFjxmjlypVav369IiMj3ZZ36NBB1atXd9vn6enpyszMrNT7/HLjLk1aWpokVfp9/kNFRUUqKCiosvv6UorHXZqqsq+7d++uXbt2KS0tzZk6duyowYMHOz+XyT4v22u7K4f33nvPeHt7m0WLFpl//vOfZtSoUSYwMNBkZWVVdGvl5sknnzQbN240GRkZ5vPPPzcxMTGmXr16Jjs7u6JbK1Pfffed+fLLL82XX35pJJlXX33VfPnll+abb74xxhjz4osvmsDAQPPBBx+YnTt3mt69e5vIyEhz5syZCu78+vzYuL/77jvz1FNPmZSUFJORkWE+/fRTc9ttt5lmzZqZs2fPVnTr12X06NEmICDAbNy40Rw5csSZTp8+7dQ8+uijpmHDhmb9+vVm+/btJjo62kRHR1dg19fvcuPet2+fmTp1qtm+fbvJyMgwH3zwgWncuLHp1q1bBXd+fZ555hmTnJxsMjIyzM6dO80zzzxjPDw8zLp164wxVXNfG/Pj466q+/pSfniHXFnscyuDkDHGvPHGG6Zhw4bG5XKZTp06mS1btlR0S+Wqf//+pn79+sblcpmbbrrJ9O/f3+zbt6+i2ypzGzZsMJJKTEOGDDHGfH8L/f/7f//PhISEGG9vb9O9e3eTnp5esU2XgR8b9+nTp02PHj1MUFCQqV69uomIiDAjR46sEsG/tDFLMgsXLnRqzpw5Y37zm9+Y2rVrmxo1api+ffuaI0eOVFzTZeBy487MzDTdunUzderUMd7e3qZp06Zm/PjxJjc3t2Ibv06PPPKIiYiIMC6XywQFBZnu3bs7IciYqrmvjfnxcVfVfX0pPwxCZbHPPYwx5jqOXAEAAFRa1l0jBAAAUIwgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADW+v8VkGec+vx5vgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_hists(u, 'u')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "7c96d0ab", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_hists(g, 'g')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "2ba67061", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_hists(r, 'r')" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "06425035", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_hists(i, 'i')" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "36af7c2b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_hists(z, 'z')" + ] + }, + { + "cell_type": "markdown", + "id": "a006e29c", + "metadata": {}, + "source": [ + "How much more accurate is a redshift from photometry predictor?" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "0cb2e11d", + "metadata": {}, + "outputs": [], + "source": [ + "from tqdm import tqdm\n", + "\n", + "class Regressor(torch.nn.Module):\n", + " def __init__(\n", + " self, in_dim, hidden_dim, out_dim, device\n", + " ):\n", + " super().__init__()\n", + " self.in_dim = in_dim\n", + " self.hidden_dim = hidden_dim\n", + " self.out_dim = out_dim\n", + " self.device = device\n", + " self.loss_fcn = nn.MSELoss()\n", + "\n", + " self.dense = torch.nn.Sequential(\n", + " nn.Linear(in_dim, hidden_dim),\n", + " nn.ReLU(),\n", + " nn.Linear(hidden_dim, hidden_dim),\n", + " nn.ReLU(),\n", + " nn.Linear(hidden_dim, hidden_dim),\n", + " nn.ReLU(),\n", + " nn.Linear(hidden_dim, out_dim),\n", + " )\n", + " \n", + " self.optimizer = torch.optim.Adam(self.dense.parameters(), lr=1e-3)\n", + "\n", + " def forward(self, photometry):\n", + " return self.dense(photometry)\n", + " \n", + " def train_one_epoch(self, dataloader):\n", + " losses = []\n", + " for idx, batch in tqdm(enumerate(dataloader), unit='batch'):\n", + " true_fluxes = batch['tile_catalog']['galaxy_fluxes'].squeeze(-2).to(self.device)\n", + " true_redshifts = batch['tile_catalog']['redshifts'].squeeze(-2).to(self.device)\n", + " \n", + " true_fluxes = rearrange(true_fluxes, 'b w h d -> (b w h) d')\n", + " true_redshifts = rearrange(true_redshifts, 'b w h d -> (b w h) d')\n", + " \n", + " self.optimizer.zero_grad()\n", + " loss = self.loss_fcn(self.dense(true_fluxes), true_redshifts)\n", + " loss.backward()\n", + " self.optimizer.step()\n", + " \n", + " losses.append(loss.item())\n", + " \n", + " return torch.tensor(losses).mean()\n", + " \n", + " def train(self, dataloader, n_epochs=100):\n", + " for i in range(n_epochs):\n", + " this_epoch_average_loss = self.train_one_epoch(dataloader)\n", + " print('Epoch {}: Avg. Loss {}'.format(i, this_epoch_average_loss))" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "203e6624", + "metadata": {}, + "outputs": [], + "source": [ + "reg = Regressor(5, 256, 1, 'cuda')\n", + "reg = reg.to('cuda')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "7c33eaeb", + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "6554batch [01:45, 62.25batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 0: Avg. Loss 0.3226582407951355\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "6554batch [01:50, 59.52batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1: Avg. Loss 0.012011805549263954\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "6554batch [01:51, 58.64batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 2: Avg. Loss 0.011745046824216843\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "6554batch [01:53, 57.73batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 3: Avg. Loss 0.011745202355086803\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "699batch [00:10, 67.19batch/s]\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[23], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mreg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtrain_dataloader\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_epochs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[21], line 49\u001b[0m, in \u001b[0;36mRegressor.train\u001b[0;34m(self, dataloader, n_epochs)\u001b[0m\n\u001b[1;32m 47\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mtrain\u001b[39m(\u001b[38;5;28mself\u001b[39m, dataloader, n_epochs\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m100\u001b[39m):\n\u001b[1;32m 48\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(n_epochs):\n\u001b[0;32m---> 49\u001b[0m this_epoch_average_loss \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_one_epoch\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdataloader\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 50\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mEpoch \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m: Avg. Loss \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(i, this_epoch_average_loss))\n", + "Cell \u001b[0;32mIn[21], line 41\u001b[0m, in \u001b[0;36mRegressor.train_one_epoch\u001b[0;34m(self, dataloader)\u001b[0m\n\u001b[1;32m 39\u001b[0m loss \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloss_fcn(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdense(true_fluxes), true_redshifts)\n\u001b[1;32m 40\u001b[0m loss\u001b[38;5;241m.\u001b[39mbackward()\n\u001b[0;32m---> 41\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptimizer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 43\u001b[0m losses\u001b[38;5;241m.\u001b[39mappend(loss\u001b[38;5;241m.\u001b[39mitem())\n\u001b[1;32m 45\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mtensor(losses)\u001b[38;5;241m.\u001b[39mmean()\n", + "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/optim/optimizer.py:280\u001b[0m, in \u001b[0;36mOptimizer.profile_hook_step..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 276\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 277\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m must return None or a tuple of (new_args, new_kwargs),\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 278\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbut got \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mresult\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 280\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 281\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_optimizer_step_code()\n\u001b[1;32m 283\u001b[0m \u001b[38;5;66;03m# call optimizer step post hooks\u001b[39;00m\n", + "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/optim/optimizer.py:33\u001b[0m, in \u001b[0;36m_use_grad_for_differentiable.._use_grad\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 31\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 32\u001b[0m torch\u001b[38;5;241m.\u001b[39mset_grad_enabled(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdefaults[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdifferentiable\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m---> 33\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 34\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m 35\u001b[0m torch\u001b[38;5;241m.\u001b[39mset_grad_enabled(prev_grad)\n", + "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/optim/adam.py:132\u001b[0m, in \u001b[0;36mAdam.step\u001b[0;34m(self, closure)\u001b[0m\n\u001b[1;32m 129\u001b[0m state_steps \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 130\u001b[0m beta1, beta2 \u001b[38;5;241m=\u001b[39m group[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbetas\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m--> 132\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_init_group\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 133\u001b[0m \u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 134\u001b[0m \u001b[43m \u001b[49m\u001b[43mparams_with_grad\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 135\u001b[0m \u001b[43m \u001b[49m\u001b[43mgrads\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 136\u001b[0m \u001b[43m \u001b[49m\u001b[43mexp_avgs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 137\u001b[0m \u001b[43m \u001b[49m\u001b[43mexp_avg_sqs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 138\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_exp_avg_sqs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 139\u001b[0m \u001b[43m \u001b[49m\u001b[43mstate_steps\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 141\u001b[0m adam(\n\u001b[1;32m 142\u001b[0m params_with_grad,\n\u001b[1;32m 143\u001b[0m grads,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 160\u001b[0m found_inf\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfound_inf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m),\n\u001b[1;32m 161\u001b[0m )\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m loss\n", + "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/optim/adam.py:78\u001b[0m, in \u001b[0;36mAdam._init_group\u001b[0;34m(self, group, params_with_grad, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps)\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m group[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mparams\u001b[39m\u001b[38;5;124m'\u001b[39m]:\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m p\u001b[38;5;241m.\u001b[39mgrad \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 78\u001b[0m \u001b[43mparams_with_grad\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mappend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mp\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 79\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m p\u001b[38;5;241m.\u001b[39mgrad\u001b[38;5;241m.\u001b[39mis_sparse:\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAdam does not support sparse gradients, please consider SparseAdam instead\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "reg.train(train_dataloader, n_epochs=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "1bac6043", + "metadata": {}, + "outputs": [], + "source": [ + "reg = reg.cpu()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "182cc6ba", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "\n", + "for idx, batch in enumerate(train_dataloader):\n", + " \n", + " # Get predicted redshifts\n", + " est_cat = encoder.sample(batch, use_mode=True)\n", + " pred_photometry = est_cat.to_dict()['galaxy_fluxes']\n", + " reshaped_photometry = rearrange(pred_photometry, 'b w h 1 d -> (b w h) d')\n", + " pred_redshifts = reg(reshaped_photometry).squeeze(-1)\n", + " \n", + " # Get true redshifts\n", + " true_redshifts = batch['tile_catalog']['redshifts']\n", + " \n", + " # Cut out border of true_redshifts\n", + " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", + " true_redshifts = true_redshifts.squeeze(-1)\n", + " \n", + " # Reshape \n", + " true_redshifts = rearrange(true_redshifts, 'b w h 1 -> (b w h)')\n", + " \n", + " # Add this batch to scatterplot\n", + " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=5, alpha=0.5)\n", + " ax.set_xlim(0,1)\n", + " ax.set_ylim(0,1)\n", + " \n", + " if idx > 10:\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d2556b48", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "017f8444", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2dfc8579", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e7b963d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "98cd5748", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b0a982e1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b6c064c9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "019faf5a", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "09ca506b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d0bc5cd9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "802d4ced", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2fec44ca", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7e71112d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 128, + "id": "76fa79b7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "41" + ] + }, + "execution_count": 128, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "idx" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "id": "fd10e946", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([0.0803, 0.1421, 0.0950, ..., 0.1562, 0.3843, 0.1102])" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "true_redshifts" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "id": "42e066fa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([0.1449, 0.1449, 0.1449, ..., 0.1449, 0.1449, 0.1449],\n", + " grad_fn=)" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred_redshifts" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "35a6faaa", + "metadata": {}, + "outputs": [], + "source": [ + "est_cat = encoder.sample(batch, use_mode=True)\n", + "pred_photometry = est_cat.to_dict()['galaxy_fluxes']\n", + "reshaped_photometry = rearrange(pred_photometry, 'b w h 1 d -> (b w h) d')\n", + "pred_redshifts = reg(reshaped_photometry).squeeze(-1)" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "274e5e3b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([0.1449, 0.1449, 0.1449, ..., 0.1449, 0.1449, 0.1449],\n", + " grad_fn=)" + ] + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred_redshifts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "18929c00", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "14901ab5", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dc4c106c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "51de653e", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0c0b82b4", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a3ef2c31", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "431f811c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0242b8cc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "f275c902", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "90960" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(all_diffs)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "ae58b604", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(1016)" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(all_diffs > 1000).sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "d341f26e", + "metadata": {}, + "outputs": [], + "source": [ + "all_diffs = torch.cat(u).detach()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "aea1938e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(37740.6953)" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all_diffs.max()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "e39187bc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(8.9407e-06)" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all_diffs.min()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "569ae534", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([7.2441e+04, 6.3900e+03, 2.9110e+03, 1.8080e+03, 1.1640e+03,\n", + " 9.0700e+02, 6.9100e+02, 5.3200e+02, 4.6300e+02, 3.5200e+02,\n", + " 2.9700e+02, 2.5600e+02, 2.2500e+02, 2.0500e+02, 1.9400e+02,\n", + " 1.5400e+02, 1.2700e+02, 1.3300e+02, 1.3000e+02, 1.1200e+02,\n", + " 9.4000e+01, 8.1000e+01, 6.9000e+01, 6.1000e+01, 8.0000e+01,\n", + " 3.6000e+01, 6.0000e+01, 4.7000e+01, 3.4000e+01, 4.0000e+01,\n", + " 2.7000e+01, 3.8000e+01, 3.7000e+01, 3.8000e+01, 3.1000e+01,\n", + " 3.5000e+01, 2.5000e+01, 2.4000e+01, 2.6000e+01, 8.0000e+00,\n", + " 2.4000e+01, 1.1000e+01, 2.0000e+01, 2.2000e+01, 2.1000e+01,\n", + " 1.4000e+01, 1.3000e+01, 1.3000e+01, 1.0000e+01, 1.0000e+01,\n", + " 1.0000e+01, 1.2000e+01, 1.5000e+01, 8.0000e+00, 8.0000e+00,\n", + " 1.0000e+01, 1.4000e+01, 1.0000e+01, 9.0000e+00, 5.0000e+00,\n", + " 3.0000e+00, 6.0000e+00, 9.0000e+00, 1.1000e+01, 4.0000e+00,\n", + " 7.0000e+00, 2.0000e+00, 8.0000e+00, 8.0000e+00, 7.0000e+00,\n", + " 8.0000e+00, 9.0000e+00, 3.0000e+00, 3.0000e+00, 3.0000e+00,\n", + " 5.0000e+00, 8.0000e+00, 6.0000e+00, 4.0000e+00, 4.0000e+00,\n", + " 1.0000e+00, 5.0000e+00, 4.0000e+00, 2.0000e+00, 3.0000e+00,\n", + " 5.0000e+00, 5.0000e+00, 2.0000e+00, 3.0000e+00, 4.0000e+00,\n", + " 5.0000e+00, 5.0000e+00, 0.0000e+00, 1.0000e+00, 4.0000e+00,\n", + " 1.0000e+00, 4.0000e+00, 5.0000e+00, 5.0000e+00, 4.0000e+00,\n", + " 6.0000e+00, 2.0000e+00, 3.0000e+00, 2.0000e+00, 2.0000e+00,\n", + " 1.0000e+00, 2.0000e+00, 0.0000e+00, 4.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 2.0000e+00, 2.0000e+00, 2.0000e+00, 1.0000e+00,\n", + " 3.0000e+00, 2.0000e+00, 1.0000e+00, 1.0000e+00, 4.0000e+00,\n", + " 3.0000e+00, 3.0000e+00, 4.0000e+00, 1.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 2.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", + " 2.0000e+00, 2.0000e+00, 1.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 4.0000e+00, 1.0000e+00, 1.0000e+00, 0.0000e+00, 2.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 2.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", + " 1.0000e+00, 1.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 1.0000e+00, 2.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 2.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 0.0000e+00, 3.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 2.0000e+00, 1.0000e+00, 2.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", + " 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 1.0000e+00, 2.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", + " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00]),\n", + " array([8.94069672e-06, 3.77407036e+01, 7.54813995e+01, ...,\n", + " 3.76652148e+04, 3.77029531e+04, 3.77406953e+04]),\n", + " )" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.hist(all_diffs, bins=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b03cdb1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3b72842b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b8613ab0", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "eafd8cbd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig_u = plot_hists(u, 'u')" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "79ba0515", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fig_u" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f39e7ae1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "286dbc4c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8f60e9b1", + "metadata": {}, + "outputs": [], + "source": [ + "batch['tile_catalog'].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "74dab209", + "metadata": {}, + "outputs": [], + "source": [ + "true_fluxes = batch['tile_catalog']['galaxy_fluxes']\n", + "true_sources = batch['tile_catalog']['n_sources']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ecf3239a", + "metadata": {}, + "outputs": [], + "source": [ + "pred_fluxes = est_cat.to_dict()['galaxy_fluxes']\n", + "pred_sources = est_cat.to_dict()['n_sources']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "857829f7", + "metadata": {}, + "outputs": [], + "source": [ + "pred_fluxes.shape, pred_sources.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7573d589", + "metadata": {}, + "outputs": [], + "source": [ + "source_tiles_x, source_tiles_y = torch.where(true_sources[image_to_show] != 0)\n", + "tile_indices_where_source = list(zip(source_tiles_x, source_tiles_y))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d38f9890", + "metadata": {}, + "outputs": [], + "source": [ + "(1,9) in tile_indices_where_source" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2db5a0a2", + "metadata": {}, + "outputs": [], + "source": [ + "batch['tile_catalog']['locs'][image_to_show][1,9]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2ff8b1f2", + "metadata": {}, + "outputs": [], + "source": [ + "est_cat['locs'][image_to_show][0, 8] #subtract 1 due to border elimination" + ] + }, + { + "cell_type": "markdown", + "id": "a87e6156", + "metadata": {}, + "source": [ + "Having hooked up objects correctly by checking location, let's check fluxes. Per the eye test, we're not really detecting sources that aren't there, so let's filter by detected sources." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "77600690", + "metadata": {}, + "outputs": [], + "source": [ + "image_indices, source_tiles_pred_x, source_tiles_pred_y = torch.where(pred_sources != 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f7e07b4b", + "metadata": {}, + "outputs": [], + "source": [ + "pred_locs = torch.round(est_cat['locs'][image_indices, source_tiles_pred_x, source_tiles_pred_y], decimals=2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b694fde0", + "metadata": {}, + "outputs": [], + "source": [ + "true_locs = torch.round(batch['tile_catalog']['locs'][image_indices, source_tiles_pred_x+1, source_tiles_pred_y+1], decimals=2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4285af4b", + "metadata": {}, + "outputs": [], + "source": [ + "pred_locs[100], true_locs[100]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fb9e7cf9", + "metadata": {}, + "outputs": [], + "source": [ + "pred_locs[101], true_locs[101]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7290786d", + "metadata": {}, + "outputs": [], + "source": [ + "source_tiles_pred_x, source_tiles_pred_y = torch.where(pred_sources[image_to_show] != 0)\n", + "tile_indices_where_source_pred = list(zip(source_tiles_pred_x, source_tiles_pred_y))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f34fb5e", + "metadata": {}, + "outputs": [], + "source": [ + "torch.round(est_cat['locs'][image_to_show][source_tiles_pred_x, source_tiles_pred_y], decimals=2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "02348124", + "metadata": {}, + "outputs": [], + "source": [ + "torch.round(batch['tile_catalog']['locs'][image_to_show][source_tiles_pred_x+1, source_tiles_pred_y+1], decimals=2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "19de0411", + "metadata": {}, + "outputs": [], + "source": [ + "torch.round(est_cat['galaxy_fluxes'][image_to_show][source_tiles_pred_x, source_tiles_pred_y], decimals=2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "87071073", + "metadata": {}, + "outputs": [], + "source": [ + "torch.round(batch['tile_catalog']['galaxy_fluxes'][image_to_show][source_tiles_pred_x+1, source_tiles_pred_y+1], decimals=2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9030255f", + "metadata": {}, + "outputs": [], + "source": [ + "def u_abs_diff(pred_photometry, true_photometry):\n", + " return torch.abs(pred_photometry - true_photometry)[:,0]\n", + "\n", + "def g_abs_diff(pred_photometry, true_photometry):\n", + " return torch.abs(pred_photometry - true_photometry)[:,1]\n", + "\n", + "def r_abs_diff(pred_photometry, true_photometry):\n", + " return torch.abs(pred_photometry - true_photometry)[:,2]\n", + "\n", + "def i_abs_diff(pred_photometry, true_photometry):\n", + " return torch.abs(pred_photometry - true_photometry)[:,3]\n", + "\n", + "def z_abs_diff(pred_photometry, true_photometry):\n", + " return torch.abs(pred_photometry - true_photometry)[:,4]\n", + "\n", + "def get_photometry_diffs(batch):\n", + " true_fluxes = batch['tile_catalog']['galaxy_fluxes']\n", + " true_sources = batch['tile_catalog']['n_sources']\n", + " \n", + " est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", + " est_cat = est_cat.to_dict()\n", + " \n", + " pred_fluxes = est_cat.to_dict()['galaxy_fluxes']\n", + " pred_sources = est_cat.to_dict()['n_sources']\n", + " \n", + " image_indices, source_tiles_pred_x, source_tiles_pred_y = torch.where(pred_sources != 0)\n", + " \n", + " pred_flux = est_cat['galaxy_fluxs'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)\n", + " true_flux = batch['tile_catalog']['galaxy_fluxes'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)\n", + " \n", + " udiffs = u_abs_diff(pred_flux, true_flux)\n", + " gdiffs = g_abs_diff(pred_flux, true_flux)\n", + " rdiffs = r_abs_diff(pred_flux, true_flux)\n", + " idiffs = i_abs_diff(pred_flux, true_flux)\n", + " zdiffs = z_abs_diff(pred_flux, true_flux)\n", + " \n", + " return udiffs, gdiffs, rdiffs, idiffs, zdiffs\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "214cb753", + "metadata": {}, + "outputs": [], + "source": [ + "true_fluxes = batch['tile_catalog']['galaxy_fluxes']\n", + "true_sources = batch['tile_catalog']['n_sources']\n", + "\n", + "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", + "est_cat = est_cat.to_dict()\n", + "\n", + "pred_fluxes = est_cat['galaxy_fluxes']\n", + "pred_sources = est_cat['n_sources']\n", + "\n", + "image_indices, source_tiles_pred_x, source_tiles_pred_y = torch.where(pred_sources != 0)\n", + "\n", + "pred_flux = est_cat['galaxy_fluxes'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)\n", + "true_flux = batch['tile_catalog']['galaxy_fluxes'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "71d92901", + "metadata": {}, + "outputs": [], + "source": [ + "pred_flux.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8dfb2289", + "metadata": {}, + "outputs": [], + "source": [ + "true_flux.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "01e0e672", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "499a0bd2", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "c46aa4f0", + "metadata": {}, + "source": [ + "Evidently, we're not doing terribly at predicting sources or their locations; let's assume then that we havne't broken the existing functionality of BLISS. We're interested in the quality of our photometric redshift estimates though. Let's plot these in a scatterplot across the whole training set. This will be quite a dense scatterplot because of the sheer number of images we train on." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff8c8535", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "\n", + "for idx, batch in enumerate(train_dataloader):\n", + " est_cat = encoder.sample(batch, use_mode=True)\n", + " pred_redshifts = est_cat.to_dict()['redshifts']\n", + " true_redshifts = batch['tile_catalog']['redshifts']\n", + " \n", + " # Cut out border of true_redshifts\n", + " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", + " true_redshifts = true_redshifts.squeeze(-1)\n", + " \n", + " # Add this batch to scatterplot\n", + " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=5, alpha=0.5)\n", + " ax.set_xlim(0,1)\n", + " ax.set_ylim(0,1)\n", + " \n", + " if idx > 1000:\n", + " break" + ] + }, + { + "cell_type": "markdown", + "id": "6fc32aee", + "metadata": {}, + "source": [ + "Very poor." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cd5e214c", + "metadata": {}, + "outputs": [], + "source": [ + "training_mean = 0.\n", + "for idx, batch in enumerate(train_dataloader):\n", + " true_redshifts = batch['tile_catalog']['redshifts']\n", + " n_batch = 32*18*18\n", + " sum_this_batch = true_redshifts.sum()\n", + " training_mean = (training_mean * (idx * n_batch) + sum_this_batch)/((idx+1)*n_batch)\n", + " \n", + "print('Mean of Training Redshifts: {}'.format(training_mean))" + ] + }, + { + "cell_type": "markdown", + "id": "1f08f08c", + "metadata": {}, + "source": [ + "### Prior Catalog Construction: DC2\n", + "\n", + "We use the DC2 truth tables to get redshifts and photometry values. There is a large number of galaxies in these, so we filter down to only about 5 million or so to use in our empirical prior. As above, the prior of galaxies samples a vector of values `(redshift, u,g,r,i,z)` uniformly from these objects. \n", + "\n", + "As above, we only sample galaxies not stars." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c7435fd6", + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=\"../\", version_base=None):\n", + " cfg = compose(\"redshift\", {\n", + " \"predict.weight_save_path=/data/scratch/declan/dc2_encoder_ckpt.ckpt\",\n", + " \"cached_simulator.cached_data_path=/data/scratch/declan/dc2_like_galaxies\"\n", + " })" + ] + }, + { + "cell_type": "markdown", + "id": "2e816c0b", + "metadata": {}, + "source": [ + "### Semi-Synthetic Data: DC2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cfcad174", + "metadata": {}, + "outputs": [], + "source": [ + "# This cell will take some time to run to load the dataset\n", + "pl.seed_everything(cfg.train.seed)\n", + "\n", + "# setup dataset and encoder\n", + "dataset = instantiate(cfg.train.data_source)\n", + "encoder = instantiate(cfg.train.encoder)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c401fce2", + "metadata": {}, + "outputs": [], + "source": [ + "train_dataloader = dataset.train_dataloader() \n", + "batch = next(iter(train_dataloader))\n", + "print('Batch of images is of shape {}'.format(batch['images'].shape))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e1171b84", + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "n_to_show = 10\n", + "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", + "axs = axs.flatten()\n", + "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", + "for img, ax in zip(imgs, axs):\n", + " ax.imshow(img)\n", + " \n", + "for a in axs:\n", + " a.set_xticklabels([])\n", + " a.set_yticklabels([])\n", + "\n", + "plt.subplots_adjust(wspace=0, hspace=0)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "bb7f14e1", + "metadata": {}, + "source": [ + "### In-Sample Training Results: DC2" + ] + }, + { + "cell_type": "markdown", + "id": "5afbc1eb", + "metadata": {}, + "source": [ + "We fit the encoder using the BLISS pipeline. Essentially, photo-$z$ estimation is performed via a module in parallel to the existing pipeline: the current pipeline estimates locations, types, and fluxes of each astronomical object. We simply add outputs to the encoder network that are used to parameterize the variational distributions on redshift.\n", + "\n", + "Currently, the variational distributions on redshift are univariate Gaussian; a mixture of Gaussians could be used in the future. As with other quantities, the per-tile NLL contribution for redshift is conditioned on the presence of a true source in that tile, etc. We leave other aspects of BLISS unchanged, so in addition we also estimate the number of sources, the type of each source, the fluxes and galaxy parameters of each source, etc.\n", + "\n", + "Let's load the fitted encoder and check that we are detecting sources properly. We overlay red \"x\"s on the posterior mode per-tile of the detected source, if a source is detected in that tile. We'll just overlay on top of the r-band image, as we don't have coaddition support for SDSS." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "77ed3c44", + "metadata": {}, + "outputs": [], + "source": [ + "PATH = \"/data/scratch/declan/dc2_encoder_ckpt.ckpt\"\n", + "checkpoint = torch.load(PATH)\n", + "encoder.load_state_dict(checkpoint['state_dict'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3dd71f3", + "metadata": {}, + "outputs": [], + "source": [ + "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", + "est_cat = est_cat.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "be683ec3", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot r_band for a selected image, overlay detected source locations\n", + "image_to_show = 8\n", + "fig, ax = plt.subplots()\n", + "ax.imshow(batch['images'][image_to_show].sum(0)) # Coadd by simple summation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "421d1788", + "metadata": {}, + "outputs": [], + "source": [ + "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", + "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", + "est_cat = encoder.sample(batch, use_mode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "205ba6d6", + "metadata": {}, + "outputs": [], + "source": [ + "mp = encoder.tiles_to_crop * encoder.tile_slen\n", + "fig = my_plot_detections(image_to_show, batch[\"images\"], target_cat_cropped, est_cat, margin_px=mp, figsize=(6,6))" + ] + }, + { + "cell_type": "markdown", + "id": "24d0b7d9", + "metadata": {}, + "source": [ + "Evidently, we're not doing terribly at predicting sources or their locations; let's assume then that we havne't broken the existing functionality of BLISS. We're interested in the quality of our photometric redshift estimates though. Let's plot these in a scatterplot across the whole training set. This will be quite a dense scatterplot because of the sheer number of images we train on." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3828b298", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "\n", + "for idx, batch in enumerate(train_dataloader):\n", + " est_cat = encoder.sample(batch, use_mode=True)\n", + " pred_redshifts = est_cat.to_dict()['redshifts']\n", + " true_redshifts = batch['tile_catalog']['redshifts']\n", + " \n", + " # Cut out border of true_redshifts\n", + " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", + " true_redshifts = true_redshifts.squeeze(-1)\n", + " \n", + " # Add this batch to scatterplot\n", + " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=5, alpha=0.5)\n", + " ax.set_xlim(0,3)\n", + " ax.set_ylim(0,3)\n", + " \n", + " if idx > 100:\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c38aa7e", + "metadata": {}, + "outputs": [], + "source": [ + "training_mean = 0.\n", + "for idx, batch in enumerate(train_dataloader):\n", + " true_redshifts = batch['tile_catalog']['redshifts']\n", + " n_batch = 32*18*18\n", + " sum_this_batch = true_redshifts.sum()\n", + " training_mean = (training_mean * (idx * n_batch) + sum_this_batch)/((idx+1)*n_batch)\n", + " \n", + "print('Mean of Training Redshifts: {}'.format(training_mean))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b9bed3f2", + "metadata": {}, + "outputs": [], + "source": [ + "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", + "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", + "est_cat = encoder.sample(batch, use_mode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "78e20757", + "metadata": {}, + "outputs": [], + "source": [ + "def marginal_detections(pred_marginal): # noqa: WPS430\n", + " return pred_marginal.sample(use_mode=False)\n", + "\n", + "pred = encoder.infer(batch, marginal_detections)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2f51bd10", + "metadata": {}, + "outputs": [], + "source": [ + "pred['marginal'].factors['redshift'].scale" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a73715e6", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometryRaw.ipynb b/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometryRaw.ipynb new file mode 100644 index 000000000..a447c04f6 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometryRaw.ipynb @@ -0,0 +1,1766 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "d3578c49", + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import numpy as np\n", + "import math\n", + "import os\n", + "import pytorch_lightning as pl\n", + "import torch\n", + "from hydra.utils import instantiate\n", + "import matplotlib.pyplot as plt\n", + "from case_studies.redshift_estimation.catalog import RedshiftFullCatalog, RedshiftTileCatalog\n", + "from bliss.encoder.plotting import plot_detections, my_plot_detections\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import torch.nn as nn\n", + "from einops import rearrange, reduce, repeat\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "33c107e3", + "metadata": {}, + "outputs": [], + "source": [ + "from os import environ\n", + "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", + "\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from bliss.main import predict\n", + "\n", + "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2827e204", + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=\"../\", version_base=None):\n", + " cfg = compose(\"redshift\", {\n", + " \"predict.weight_save_path=/data/scratch/declan/sdss_encoder_ckpt.ckpt\",\n", + " \"cached_simulator.cached_data_path=/data/scratch/declan/sdss_like_galaxies\"\n", + " })" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "f2895e59", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Global seed set to 42\n" + ] + }, + { + "data": { + "text/plain": [ + "42" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pl.seed_everything(cfg.train.seed)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "81e858b4", + "metadata": {}, + "outputs": [], + "source": [ + "sdss_photo_z = pd.read_csv('/data/scratch/declan/GALAXY.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "0249edd0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Unnamed: 0objIDu_bandg_bandr_bandi_bandz_bandredshiftsource_type
01123764872014240161117.1512315.4970114.6786414.2341813.902720.021222GALAXY
12123765079514651062721.3330119.1311217.7123317.1491116.762720.203783GALAXY
24123765079514644503119.5000517.5924816.6766816.2050215.846540.064656GALAXY
35123764872014240167019.4841918.3262917.8438117.5267917.420980.052654GALAXY
46123764872014253289120.4356418.6515417.4687717.0000016.668500.213861GALAXY
57123765079514651090325.3399621.4155919.6329418.8215618.315930.448220GALAXY
68123764872014240177422.2111520.3569518.5319817.9560017.546550.371128GALAXY
79123765079514657609119.9561717.9929016.8473216.3603015.940580.121271GALAXY
810123765079514664153220.3204918.5094817.6159617.2063116.907060.097086GALAXY
912123765079514657603020.7763518.6478617.3099616.7120316.221140.126590GALAXY
\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 objID u_band g_band r_band i_band \\\n", + "0 1 1237648720142401611 17.15123 15.49701 14.67864 14.23418 \n", + "1 2 1237650795146510627 21.33301 19.13112 17.71233 17.14911 \n", + "2 4 1237650795146445031 19.50005 17.59248 16.67668 16.20502 \n", + "3 5 1237648720142401670 19.48419 18.32629 17.84381 17.52679 \n", + "4 6 1237648720142532891 20.43564 18.65154 17.46877 17.00000 \n", + "5 7 1237650795146510903 25.33996 21.41559 19.63294 18.82156 \n", + "6 8 1237648720142401774 22.21115 20.35695 18.53198 17.95600 \n", + "7 9 1237650795146576091 19.95617 17.99290 16.84732 16.36030 \n", + "8 10 1237650795146641532 20.32049 18.50948 17.61596 17.20631 \n", + "9 12 1237650795146576030 20.77635 18.64786 17.30996 16.71203 \n", + "\n", + " z_band redshift source_type \n", + "0 13.90272 0.021222 GALAXY \n", + "1 16.76272 0.203783 GALAXY \n", + "2 15.84654 0.064656 GALAXY \n", + "3 17.42098 0.052654 GALAXY \n", + "4 16.66850 0.213861 GALAXY \n", + "5 18.31593 0.448220 GALAXY \n", + "6 17.54655 0.371128 GALAXY \n", + "7 15.94058 0.121271 GALAXY \n", + "8 16.90706 0.097086 GALAXY \n", + "9 16.22114 0.126590 GALAXY " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sdss_photo_z.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "57ac83ee", + "metadata": {}, + "outputs": [], + "source": [ + "x = sdss_photo_z.values[:,2:7]\n", + "y = sdss_photo_z.values[:,7]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "18252578", + "metadata": {}, + "outputs": [], + "source": [ + "from tqdm import tqdm\n", + "\n", + "class Regressor(torch.nn.Module):\n", + " def __init__(\n", + " self, in_dim, hidden_dim, out_dim, device\n", + " ):\n", + " super().__init__()\n", + " self.in_dim = in_dim\n", + " self.hidden_dim = hidden_dim\n", + " self.out_dim = out_dim\n", + " self.device = device\n", + " self.loss_fcn = nn.MSELoss()\n", + "\n", + " self.dense = torch.nn.Sequential(\n", + " nn.Linear(in_dim, hidden_dim),\n", + " nn.ReLU(),\n", + " nn.Linear(hidden_dim, hidden_dim),\n", + " nn.ReLU(),\n", + " nn.Linear(hidden_dim, hidden_dim),\n", + " nn.ReLU(),\n", + " nn.Linear(hidden_dim, out_dim),\n", + " )\n", + " \n", + " self.optimizer = torch.optim.Adam(self.dense.parameters(), lr=1e-3)\n", + "\n", + " def forward(self, photometry):\n", + " return self.dense(photometry)\n", + " \n", + " def train_one_epoch(self, dataloader):\n", + " losses = []\n", + " for idx, (x, y) in tqdm(enumerate(dataloader), unit='batch'):\n", + " x = x.to(self.device)\n", + " y = y.to(self.device)\n", + " self.optimizer.zero_grad()\n", + " loss = self.loss_fcn(self.dense(x).view(-1), y)\n", + " loss.backward()\n", + " self.optimizer.step()\n", + " \n", + " losses.append(loss.item())\n", + " \n", + " return torch.tensor(losses).mean()\n", + " \n", + " def train(self, dataloader, n_epochs=100):\n", + " for i in range(n_epochs):\n", + " this_epoch_average_loss = self.train_one_epoch(dataloader)\n", + " print('Epoch {}: Avg. Loss {}'.format(i, this_epoch_average_loss))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "c57d5f6b", + "metadata": {}, + "outputs": [], + "source": [ + "x = x.astype(float)\n", + "y = y.astype(float)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "bc568608", + "metadata": {}, + "outputs": [], + "source": [ + "from torch.utils.data import TensorDataset, DataLoader\n", + "\n", + "# use x_train and y_train as numpy array without further modification\n", + "x_train = np.array(x)\n", + "y_train = np.array(y)\n", + "\n", + "# convert to numpys to tensor\n", + "tensor_x = torch.Tensor(x_train) \n", + "tensor_y = torch.Tensor(y_train)\n", + "# create the dataset\n", + "custom_dataset = TensorDataset(tensor_x,tensor_y) \n", + "# create your dataloader\n", + "train_dataloader = DataLoader(custom_dataset,batch_size=2048) " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "3d985871", + "metadata": {}, + "outputs": [], + "source": [ + "reg = Regressor(5, 256, 1, 'cuda')\n", + "reg = reg.to('cuda')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e945a282", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "418batch [00:16, 24.80batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 0: Avg. Loss 0.036019641906023026\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "418batch [00:14, 29.54batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1: Avg. Loss 0.004865583498030901\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "418batch [00:10, 38.39batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 2: Avg. Loss 0.0038388564717024565\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "418batch [00:10, 40.87batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 3: Avg. Loss 0.002813660306856036\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "418batch [00:11, 36.96batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 4: Avg. Loss 0.002674606628715992\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "418batch [00:14, 29.32batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 5: Avg. Loss 0.002406184794381261\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "418batch [00:12, 33.40batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 6: Avg. Loss 0.0022849238011986017\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "418batch [00:10, 41.30batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 7: Avg. Loss 0.0022694298531860113\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "418batch [00:13, 31.45batch/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 8: Avg. Loss 0.0020379466004669666\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "418batch [00:10, 41.32batch/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 9: Avg. Loss 0.002096329815685749\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "reg.train(train_dataloader, n_epochs=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "0263a83f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "101batch [00:02, 35.65batch/s]\n" + ] + } + ], + "source": [ + "preds = []\n", + "trues = []\n", + "for idx, (x, y) in tqdm(enumerate(train_dataloader), unit='batch'):\n", + " x = x.to(reg.device)\n", + " y = y.to(reg.device)\n", + " pred_this_batch = reg.dense(x)\n", + " preds.append(pred_this_batch)\n", + " trues.append(y)\n", + " \n", + "\n", + " if idx > 100:\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "e43aafc5", + "metadata": {}, + "outputs": [], + "source": [ + "preds = torch.cat(preds)\n", + "trues = torch.cat(trues)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "33aaebd0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(preds.detach().cpu().numpy(), trues.detach().cpu().numpy(), alpha=0.1, s=3)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "df3161a1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([208896, 1])" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "preds.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e59dc498", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1f8f7ea1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "62158678", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8b797d77", + "metadata": {}, + "outputs": [], + "source": [ + "# This cell will take some time to run to load the dataset\n", + "pl.seed_everything(cfg.train.seed)\n", + "\n", + "# setup dataset and encoder\n", + "dataset = instantiate(cfg.train.data_source)\n", + "encoder = instantiate(cfg.train.encoder)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0baa6a54", + "metadata": {}, + "outputs": [], + "source": [ + "bliss_train_dataloader = dataset.train_dataloader() \n", + "batch = next(iter(bliss_train_dataloader))\n", + "print('Batch of images is of shape {}'.format(batch['images'].shape))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1fd7eedd", + "metadata": {}, + "outputs": [], + "source": [ + "batch['tile_catalog'].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7068d9e3", + "metadata": {}, + "outputs": [], + "source": [ + "fluxes_used = batch['tile_catalog']['galaxy_fluxes']\n", + "redshifts_used = batch['tile_catalog']['redshifts']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4500610f", + "metadata": {}, + "outputs": [], + "source": [ + "fluxes_used = rearrange(fluxes_used, 'b w h 1 d -> (b w h) d')\n", + "redshifts_used = rearrange(redshifts_used, 'b w h 1 d -> (b w h) d')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8602000c", + "metadata": {}, + "outputs": [], + "source": [ + "observations = torch.cat([fluxes_used, redshifts_used], axis=-1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "29844c09", + "metadata": {}, + "outputs": [], + "source": [ + "observations" + ] + }, + { + "cell_type": "markdown", + "id": "0940193f", + "metadata": {}, + "source": [ + "These observations should have been drawn from rows of GALAXY.csv, is my understanding." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8342ef66", + "metadata": {}, + "outputs": [], + "source": [ + "cfg.train.data_source" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1fc9f6ae", + "metadata": {}, + "outputs": [], + "source": [ + "sdss_photo_z.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e484482", + "metadata": {}, + "outputs": [], + "source": [ + "observations[:,-1].max()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4cca24b5", + "metadata": {}, + "outputs": [], + "source": [ + "torch.where(observations[:,-1] > 0.934)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a751457b", + "metadata": {}, + "outputs": [], + "source": [ + "observations[10368]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6dd55271", + "metadata": {}, + "outputs": [], + "source": [ + "sdss_photo_z[(sdss_photo_z['redshift'] > 0.9345) & (sdss_photo_z['redshift'] < 0.9347)]" + ] + }, + { + "cell_type": "markdown", + "id": "9d23fa7e", + "metadata": {}, + "source": [ + "Not looking promising....let's draw from a random dataset?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0c5a7754", + "metadata": {}, + "outputs": [], + "source": [ + "dataset = torch.load(\"/data/scratch/declan/sdss_like_galaxies/dataset_0.pt\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a57f5f7", + "metadata": {}, + "outputs": [], + "source": [ + "this_image_fluxes = dataset[0]['tile_catalog']['galaxy_fluxes']\n", + "this_image_redshifts = dataset[0]['tile_catalog']['redshifts']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da52dd94", + "metadata": {}, + "outputs": [], + "source": [ + "this_image_fluxes = rearrange(this_image_fluxes, 'h w 1 d -> (h w) d')\n", + "this_image_redshifts = rearrange(this_image_redshifts, 'h w 1 d -> (h w) d')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "17c145f4", + "metadata": {}, + "outputs": [], + "source": [ + "image_0 = torch.cat([this_image_fluxes, this_image_redshifts], -1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2469ad88", + "metadata": {}, + "outputs": [], + "source": [ + "image_0[:,-1].max().item()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "642bd120", + "metadata": {}, + "outputs": [], + "source": [ + "torch.where(image_0[:,-1] > .5734093)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b2db3736", + "metadata": {}, + "outputs": [], + "source": [ + "image_0[269]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fe2a146e", + "metadata": {}, + "outputs": [], + "source": [ + "sdss_photo_z[(sdss_photo_z['redshift'] > 0.5734093) & (sdss_photo_z['redshift'] < 0.5735)]" + ] + }, + { + "cell_type": "markdown", + "id": "1fa19048", + "metadata": {}, + "source": [ + "### Clearly there is an issue with the prior construction. Let's investigate (sigh)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "2c294788", + "metadata": {}, + "outputs": [], + "source": [ + "my_prior = instantiate(cfg.prior)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "97e105de", + "metadata": {}, + "outputs": [], + "source": [ + "cat = my_prior.sample()\n", + "cat = cat.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "6519eaaf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cat.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "8d20ed4a", + "metadata": {}, + "outputs": [], + "source": [ + "this_image_fluxes = cat['galaxy_fluxes']\n", + "this_image_redshifts = cat['redshifts']" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "bd2c436f", + "metadata": {}, + "outputs": [], + "source": [ + "this_image_fluxes = rearrange(this_image_fluxes, 'b h w 1 d -> (b h w) d')\n", + "this_image_redshifts = rearrange(this_image_redshifts, 'b h w 1 d -> (b h w) d')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "b439fda2", + "metadata": {}, + "outputs": [], + "source": [ + "all_objects = torch.cat([this_image_fluxes, this_image_redshifts], -1)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "229a83fe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[19.0288, 17.8080, 17.3356, 17.0279, 16.8469, 0.0660],\n", + " [18.2855, 16.4914, 15.7722, 15.4235, 15.1650, 0.0632],\n", + " [20.7746, 19.5998, 18.6912, 18.2078, 17.8561, 0.1164],\n", + " ...,\n", + " [20.2237, 18.0903, 17.0952, 16.6836, 16.3568, 0.0904],\n", + " [19.9456, 18.2042, 17.2599, 16.8588, 16.4916, 0.1353],\n", + " [19.2419, 17.2537, 16.2417, 15.7919, 15.4254, 0.1132]])" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all_objects" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "978274bc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9982324838638306" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all_objects[:,-1].max().item()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "7320deab", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(tensor([3169]),)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.where(all_objects[:,-1] > .998)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "249c4fa7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([21.5009, 21.1751, 20.5881, 19.9058, 19.3929, 0.9982])" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all_objects[3169]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "a16d09e6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Unnamed: 0objIDu_bandg_bandr_bandi_bandz_bandredshiftsource_type
166041195529123766640843869415921.5009021.1751220.5880819.9057919.392880.998232GALAXY
807272993907123765758709589610524.0752624.1511722.5724921.4852822.228040.998233GALAXY
\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 objID u_band g_band r_band \\\n", + "166041 195529 1237666408438694159 21.50090 21.17512 20.58808 \n", + "807272 993907 1237657587095896105 24.07526 24.15117 22.57249 \n", + "\n", + " i_band z_band redshift source_type \n", + "166041 19.90579 19.39288 0.998232 GALAXY \n", + "807272 21.48528 22.22804 0.998233 GALAXY " + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sdss_photo_z[(sdss_photo_z['redshift'] > 0.998) & (sdss_photo_z['redshift'] < 0.999)]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ccb81c62", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e02d02e8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "709ccfb3", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "735cbf97", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cdaa1106", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a6796831", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5e32fde1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5f634836", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2d0d7a45", + "metadata": {}, + "outputs": [], + "source": [ + "from omegaconf import DictConfig, OmegaConf" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ba13f9d", + "metadata": {}, + "outputs": [], + "source": [ + "my_dict = OmegaConf.to_container(cfg.prior)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "67a3cc7c", + "metadata": {}, + "outputs": [], + "source": [ + "my_dict.pop('_target_')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d5f5613f", + "metadata": {}, + "outputs": [], + "source": [ + "yo = RedshiftCSVPrior_Galaxy(**my_dict)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a7152227", + "metadata": {}, + "outputs": [], + "source": [ + "yo._sample_indices()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f06613b2", + "metadata": {}, + "outputs": [], + "source": [ + "latent_dims = (32, 20, 20, 1, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3c75f0e", + "metadata": {}, + "outputs": [], + "source": [ + "array = (\n", + " pd.read_csv(\n", + " \"/data/scratch/declan/GALAXY.csv\",\n", + " header=0,\n", + " dtype={\n", + " \"u_band\": float,\n", + " \"g_band\": float,\n", + " \"r_band\": float,\n", + " \"i_band\": float,\n", + " \"z_band\": float,\n", + " \"redshift\": float,\n", + " },\n", + " )\n", + " .to_numpy()[:, 2:8]\n", + " .astype(float)\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ee24ffc7", + "metadata": {}, + "outputs": [], + "source": [ + "indices = np.random.choice(range(len(array)), size=latent_dims, replace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ba2f5c57", + "metadata": {}, + "outputs": [], + "source": [ + "indices.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "72a1206b", + "metadata": {}, + "outputs": [], + "source": [ + "redshifts = torch.from_numpy(np.take(array[:, -1], indices))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88944a3b", + "metadata": {}, + "outputs": [], + "source": [ + "redshifts[0,0,0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b81bbd03", + "metadata": {}, + "outputs": [], + "source": [ + "indices[0,0,0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "719615e1", + "metadata": {}, + "outputs": [], + "source": [ + "array[838932]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b4e9734c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6ad6bacc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0ecc428a", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "24678867", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "91a25144", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bad012b2", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0094bbac", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1e93d6e2", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1edeb2fb", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4893fe4e", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "490937ba", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2cf6ba39", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6ad334c9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1054744a", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1e369b33", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f5ba86a7", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "14b7a736", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ba4fd3c5", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0e55b358", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e82a2b07", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e0cbfeef", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50602626", + "metadata": {}, + "outputs": [], + "source": [ + "dataset[0].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e6221d8", + "metadata": {}, + "outputs": [], + "source": [ + "dataset[1].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "82e0d214", + "metadata": {}, + "outputs": [], + "source": [ + "type(dataset[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e1bcde4", + "metadata": {}, + "outputs": [], + "source": [ + "dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4b4c3fe9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3ceeffb", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "10e413b4", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "22b81ab3", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "07058a9c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e08e3074", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b1547ef2", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fb8d460d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "41d37537", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0e88385a", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2a94f1db", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3dbada64", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ccb490d1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d0af4d0d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "61691aa7", + "metadata": {}, + "outputs": [], + "source": [ + "fluxes_used.shape, redshifts_used.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b87a36f1", + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "n_to_show = 10\n", + "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", + "axs = axs.flatten()\n", + "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", + "for img, ax in zip(imgs, axs):\n", + " ax.imshow(img)\n", + " \n", + "for a in axs:\n", + " a.set_xticklabels([])\n", + " a.set_yticklabels([])\n", + "\n", + "plt.subplots_adjust(wspace=0, hspace=0)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8c2e6c58", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/other/SDSS-LikeDataExploration.ipynb b/case_studies/redshift_estimation/notebooks/other/SDSS-LikeDataExploration.ipynb new file mode 100644 index 000000000..1e03d307b --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/other/SDSS-LikeDataExploration.ipynb @@ -0,0 +1,1004 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 20, + "id": "32e7717d", + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import os\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "d703e56c", + "metadata": {}, + "outputs": [], + "source": [ + "path = \"/data/scratch/declan/sdss_like_galaxies/\"" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "bdbf73c5", + "metadata": {}, + "outputs": [], + "source": [ + "sample = torch.load(path + \"dataset_0.pt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "8c18ba44", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "list" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(sample)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "fe8b934e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1024" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(sample)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "6828f6e4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(sample[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "317dddaf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['images', 'background', 'deconvolution', 'psf_params', 'tile_catalog'])" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample[0].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "70263142", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([5, 80, 80])" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample[0]['images'].shape" + ] + }, + { + "cell_type": "markdown", + "id": "5dddbedc", + "metadata": {}, + "source": [ + "The 5 images above correspond to the u,g,r,i,z bands. We can plot each of them." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "5052418f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABj0AAAE6CAYAAABNpZCmAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAADYhklEQVR4nO39f5BkV3nfAT+3Z3pmV1rtrCSkXSmsQHEUSxjjYGGkDSRgI1vFS7lQJBPbhcvYpsqvnRUGbVx2VBUgTjkWZZcDIWXAdlGClENwlIAw5jUUFpZsE4kfwpTBxGsIsiUj7fLD7I602p1ffd4/Zqfv8zy3n2eee/p0T0/391PVNT19zz3n3HPPfe45597n+1QppUQAAAAAAAAAAAAAAAAAAAC7nM5OVwAAAAAAAAAAAAAAAAAAAKAEeOgBAAAAAAAAAAAAAAAAAICpAA89AAAAAAAAAAAAAAAAAAAwFeChBwAAAAAAAAAAAAAAAAAApgI89AAAAAAAAAAAAAAAAAAAwFSAhx4AAAAAAAAAAAAAAAAAAJgK8NADAAAAAAAAAAAAAAAAAABTAR56AAAAAAAAAAAAAAAAAABgKsBDDwAAAAAAAAAAAAAAAAAATAV46AEAAAAAAAAAAAAAAAAAgKlgZA89fuu3foue/exn0549e+iGG26gT3/606MqCgAAJgrYPwDALAMbCACYZWADAQCzDGwgAGBSqFJKqXSmv//7v08/+ZM/Se9617vohhtuoLe97W10zz330PHjx+nyyy939+31evT444/TRRddRFVVla4aAGCKSCnRk08+SVdeeSV1OpPhuDaM/SOCDQQAxJhE+0cEGwgAGA/TaANh/wAAUWADAQCzSiv7l0bAC1/4wnT06NH+/xsbG+nKK69Md91117b7PvbYY4mI8MEHH3zCn8cee2wUpiyLYexfSrCB+OCDT7vPJNm/lGAD8cEHn/F+pskGwv7hgw8+bT+wgfjgg8+sfiL2b54Ks7q6Sg8//DDdeeed/d86nQ7ddNNN9OCDDzbSr6ys0MrKSv//dN7x5MXVD9N81SVKPblDFXyKzfdz9qnm5upd1tfq3+e7Zn6pl2J1cKg69ZNrLz+ebpsM6/zYcRDJYxRtkdm2aWPDrJ/YxtvWazPnXFnHr/MTZXn1Y/tZ+2jEudLpnPaM5s/z8M631YbhY/T6RZDcvprW11lClk6f7+g5OZ9uPa3Rn63fSxdddJGZdpy0tX9Ejg2kV5y3gc6102HnUF/Pkw4/Lu9Nnmi6Yevg5a9tY7StR1n3KNFj1Omifcu7p4yL3PNj4V1zuedxBH1hPa3Rn9NHJsb+EZW2gf8fmqduc4do++3U9bebr/uc+np55Nh5Tc759vYf9t7j2Zvc44jWPYfS/dHLz7sf8P1KjF1SonVaoz+n/9+utoFD2b9JsHHjLLuErckpa6dsV5s8onmP8l6Qy7Bt7dl4L90kkNvu523telqjP08fnlIbeH4enMuw85PomqPGK2tYO+XVyVv7tLZ5a4HR4+g460njrJORTq93metLufVzMNe1ouexkeEI+3Rw7dzcZ7uyhq3vgP3bzIOLP/T45je/SRsbG3Tw4EHx+8GDB+mv//qvG+nvuusu+pVf+ZXG7935PYMNnfHwwVv4ddngJ5iV19OLsWxbJRvdrEf0ZHu2wniIoLdx41PN7wnlR5U8/VEXwsQX6dU+qcPy5HZ9zjk/osmcdD3bWFS8Ea2HPERE8yx/3ha6bfk5Zccojk+jm48fon6IxpPxevAuoutunR7d1Xk63r3D/cJ+8JTIeXiTnIeL3cHH33h4xSqfHENXn+/N3yfF/bWt/SOybeB8Z3Hwg1+Lqv1DrM39Ci9ahwd0Gen0wErYhPYPiN1FGS+/yrExYtAQq5ILz987XmuS5z04F4PW4PF6eOlKLEhYbdFoaMMWhcsNjh/a9Mdh+4I1MU6TY/+ICtvAamHwg9/oQteo2ny7tNFrbpSL4K5JHTz+apW/zNDe1DHOlS6rSBeO2u9gduaYSx8HtwOZLymETVOGHS2dd7j9lH209tPp2tQjVbveBg5l/0Z52LnljvJBjJdd6bYY1k60wmkzqz2j6uThlydjyYrQeMnGOC49xgrPh/KqZbJTfTrEZM2DiUrawO7gtUBrQdZdgM2cI0fK1WV3gg9q+Jwh88GB+2KuSGjkr+sqynLqxLub99IceQvpxvlqjB34vD3YZqJ+aptYqwzWT2xrsdDf4/0iuOwu6u69oB58SBG1m7wvRB88uedK5WHlH34B1TjfwTHgjov/3XnnnXT69On+57HHHtvpKgEAwNiADQQAzDKwgQCAWQX2DwAwy8AGAgBGTXFPj2c84xk0NzdHJ0+eFL+fPHmSDh061Ei/uLhIi4uLpasBAABjp639I4INBABMD7CBAIBZBvNgAMAsAxsIAJg0int6LCws0PXXX0/33Xdf/7der0f33XcfHTlypHRxAAAwMcD+AQBmGdhAAMAsAxsIAJhlYAMBAJNGcU8PIqJjx47Ra17zGnrBC15AL3zhC+ltb3sbnTlzhn76p386nEfa2KBUddzgyF7QYzNAeSN2g/Hcpyfz42pjuk5WUPKqE9RQ0wGlRSBqe7dqYaH+x4lPIfbh7bK2LjeybSKOhdJaE3L2qiy+X7WHPbV3yuJ1FwGvdT3UNgFvs67drXvn6kBZXiBvq91dSUhHM88KLr5tniIhi6UyxwLXb2jNvMHXTDWvYrjw/sNZkPqOVYeVdeHeeoNuP1anxvnmMWfOrdY/r8ng6rSq/t9Kt7qq/t9Kt+MKfQ1K2D8iOt+fWsTYKB3MOZewznhGuobGZGltXScmE09m2Hwi26400jl5hOqnsbRNXY3bjCCb2fE4gtr+bj24jqh3rqK6z1bsj9juDRx92fD5ts7XBOk1b0c5G5jovFjrgN/PkxOIOhojJKqx7OWh6xcN4DxsgMto3p4+dNgu6WoY+Re4J4k6eedghEEx/TgTjcaIlRXdx9Q6DgbgdMvlu3jHOHgs2gYxblXHGO53OzXGCVDMBhKVsf1mPCwn/xL3eo8SwbvHFKjYvR5y8w8GybWvh0y7FmVY2+XtF7WhbYLkWuWWOMfGuN5bR2jAtP2F/dPlGnEZGv1ggu0fUVkb2Fy7C94jRokb5DvYb6N93clbrGPye7OOkWvECG60pZGHN4f1rzEvlpkR79VZ06VgnfyxYuG1Iy8/Y5t3fmQfaZ/3ZoZD2kB9bkQbGnGUt0OcL3sN394/OHYxGMlDjx/90R+lb3zjG/SmN72JTpw4Qf/sn/0z+uhHP9oIaAQAANMG7B8AYJaBDQQAzDKwgQCAWQY2EAAwSYzkoQcR0e2330633377qLIHAICJBfYPADDLwAYCAGYZ2EAAwCwDGwgAmBRG9tCjGNolh7veGK5ajSzmaxcdLnXl7tfJa5qw7Al3E1JuPZYLWi5cxqrDpYsaMkuDXY0q7T7EZbCUlBR32Uxcqki7qvF28tyaDPdnLc3F6yHyU3nz4++tMKmreceNK+gW5rnZmeeeyJT68srlkmNaXkBs4xJWPVUur1+XHf8eGUws8TZbuqD//dzle0S69b11PeaflmXNrdT/L5w8U1fh6XOyrPXl+h/eB3U/2zp3E+7eO3JKuLNzd0HX5XyEru4eJaSVrDpk1m+krtWeG67nujzKOuVITRDZ7allg3i6HMmLXPmaDFyXbk8egduzqITQCI9jV1BV5z+qncNmYEhpDU3UdkTziBKVpuHbvGvMweqP2fIuGfJRUVvWkLzg46eo9IR3jZW45obNI/cemiHf4Nk2Mc7kc4CGzKk91uXzg4rq+UFKSjKYgvIuwEfcSx37ZF0DuTKUUUqP58LlBqXvRDF232vYxoz7djLGBy6lbYNn/8KSkhlygW0oPCYy29pZHxH2T8lBu23DJbrZGkZDunvWx30DCEvChuXVgnKQufJqXh2iZeX0AzGOctaQCtxLZR6OHFVG3RvzWydMgVUnuc4Yq4LGC6OgCmbfnfsmO6eN/Ew51UwJq2B+4ftNVOLPkxLm3YLf88gey4vzSIPq0CEKdufJE8QHAAAAAAAAAAAAAAAAAADIAA89AAAAAAAAAAAAAAAAAAAwFUysvFU1N0dV5Us7VfNc0siW7uFSSFG5KE+aynNx4jI8VSXzMGWrlOuXWUftumRJIWkpKVF3x81Myx9t7aPckyr2fzq3IhN3mPwKc/tMKm8hfWWUO6jsft66jSxXPdVm3I20IWllVsKWXTAlrEi7Z7FjjNZd9wve3/k5UOe0s1fKTvXpOpc7c0dLe6W81coV+/vfzz2jbrNT3yHbdn1fXae5c/IYL3ii3rafeb7teUK158aFdT3OPM0yV+6/s4Qn92PJt3h5NKQNgq6NWdJUma7uQtKpQJ2irvkZkiCNooLXs+l6HJXT81xtvfwsN1ctmyPyCPYRnYeW2LHSCfffaH9k7Zwp5WPhyVUImZeOaltu2/V9jdtYLvPSCfYLUBN1/c6RKRBu6lqWgPU57S+fI9USrZ8nnSWO36l7tFxDQs8b+0S3Na4ra2wVlHlwJQvGKREybD/T5PTvIK6UAc9PpRNSqWxsX114gUgnbKKygdXKav97OsekTdU8IkHexScsgzGstFoJ+akRS2TlkCFfrHGvI6PPRiWyRi7jliUJ5sh6lrB51lh0jGM78bOWt+I2b+/eesPigkiX+Dxbr52cq+0f8fmtQshdZcryTDtDSxflSknlyF15NrCAXKXs02y9T9uRDPmkbFtU+r7NZaG8sSJfGxsohTRgv+jxh2URY5KJ7jmds8+j2ffdtWSnX1joMSCX9WPrkY21Rd6/9ZozryMzh0nLo/H68rAUg+49LfoaZtcAAAAAAAAAAAAAAAAAAJgK8NADAAAAAAAAAAAAAAAAAABTAR56AAAAAAAAAAAAAAAAAABgKpjYmB5pY4NS1RExMohIxD9IrpAf0x7jumZaz9HQRffiMzTS8jwdrTkzVkc0xoMul2ns9pgmbqPNrGOct09/xTXZlG65iFWh9Vm5Dh2LpdLQNGRavyJuhz52HjODa6KT00a83XXbWqexobfv6FBzPA3kZOynjtGM9aLyEzrwC3Y8EjsOijrf/PzvqeN4rF16oUh29rK6rG99d12nZ7zghEj3koNf6X//26cvFdse/Mtr+t8763W/nTu3V6Tr8vg7XP9ZxfTYajPfBkwJnqatpzEZjWPBydXSztnPS8c1fT0tYasOzQyHr1O4rIL7EA2vPx3Vp41qJ7fRczbzCNpUVz/X0cXN0K4VaD1nXtacMbYgElr3xONWEYk7Fj/6pgkzbJque29jm3g/U0SuxnJO/iXsiEeOrXTt/JDXqZPOiy+To/VcRKt+2PbT+43yHGhKxJWJYvVpry2cGHVct7m6aF//e29Jjhc3LqhtYGdV2rLOqTMsISt3TcVs43ZNhC7UY2KablIiotS8X1p9IifGGRGZdq3Nvd7Kv3BMhuw6Wbja7N5usfgc8WoEbWNWbD0vpkDGPKFNHXLuT9GxnVdOdKxnrDHo9ZFqTx0rM11Yz1t7F+8T6Tb2MDu5Lus0f/psvY2vy6g1Gj3fBdRco4nafqt/59qRnHGAFdtQ7dNYdwzahGgcSXMcEJw/RWMie/Vr3sM3Bm4L20N9HocNGZVrR3L2cdaIveNPVjznRvaD2z0c10ivEfO14MV6zbCxHsnXoFVMDx4HuuLHqOM+J2NdVLE5R+mQtyTMgacHAAAAAAAAAAAAAAAAAACmAjz0AAAAAAAAAAAAAAAAAADAVDCx8lZVp2pKJxFJVyvmepOUC42QEIrKE/FilLuh564qXIjmBv9ORFR1WR48fyUhwOWpkucCabiFNeSsDFe1RpuJzG25h2rOcafirks8nXbbYy6H4jx3VbpVJnHEZUWUhJeU3GLt58l/CFkyfQ4Gt6frmkfKBSvo4taQIxtQLhHJNozKmnCXMeViWe2t3XV7zF13fZ90VTt7aX0cG1fX7rn/32f/qUj3wxc+2v/+Z+eeIbb93dUX978vP3Ko//2ix1SbzcfcJ6v5zTpWiYjW/LS7Hk+2iuzrNEuKxZWRyXCDz8VyQy4hI+Kly5FFKuEO65WVKznW38eRNhg2b43XL6L9p7SbuShXZzG4LTzZRi4rSVoCgd3zkpbIYnJXaaW+T2r3X+Hi7bkxVxURVWG33l1NCUmTDHd+9z6bawNHKe8SvZ6jMktuNWwpgqFlrApIc7m/hyX0hpTJ2y7/nHQ5dffKMexeQ96F2b20t5Y2WL9oUaRb21fvN7ciy1pYq+1Z5yyzgStq3M/lXVj9GjLDKcXHwsDGbMNMW+XJE0XrUFqStbQ0KL9u9Lwwx/4NK2Oq97Pkohr7ZNzHovcgvS3yexuCeVjjPCKSa0V8/UHPyxeZnPjSBf3va/sXRLK1fXUenVXZDzqrtV2bO8Pm2edsOVWx7kF6DYimn6qz+Ynew3t6/SvDjnhE+3qGXWrc36Ljj+j4KFCHzX/5HIQXk8x0fvb2WDE83+Hk2MqoxGmJsWf0XqbyyJL0KnHPM86jK3HKJPHTHmkDxTreulpL56EN1ur1XR1GwV63HmD0WtxL4OkBAAAAAAAAAAAAAAAAAICpAA89AAAAAAAAAAAAAAAAAAAwFUysvFUfR+JHuEBruGvMIHeYbdBuPULGqBFJXvh/sSoolyGWh5DE6qio9WvsuHgeulx+XHybdpHideIu6kw6qpk/c6mstKQTy09JXQl5Dy5hpdy9hPsmz48Uhuu9aCNF4lXy3MW8fsHkrqR8mXJD9dSYLMkxfR4NKTYtL2BKdfWUa1ejf25loN1DWXsusvOt2myjVr6ixT11nzk0f1qku3iudvndU0nNqdV1JnlQK2Q1ytKucPVOg6/HNBP+vYqoPFFp6SKPUee/RRuZqUgenixSaffaaJ28ZPz+F72vdbS94fs5Lrl8P8sVuA1WfrrsqDt69BxkqDdoW1tx11tuox2pR33vcccrPN2w0kDTSAnbFpV7Enk7Ugm5kltDy9VlylYVZqT9tLRMTTT/3LzDtoht82Q4cvpIG8kZDh+naokBDpcTnmfj43mtGejUcUgpqoaMUJpyib+q2vyUlqgsIU/q1SksZTnkfV+TM2aLypM6eXuyNJ60i5l/rh03paQypcPaljMMUTm+yD6NLAZLkBORvcaixs2Jy44LGVO7LTsbTrtHJdhnfTyYejRQZs+8v41QTlL/X+Le7KXLKbeETFdOft5+fA1Sr08NaUs8yfmonS9toxtrd6O8hvlxOG0r15xteyPy0On4cfG5r76fWGMBjaivrVMv2m9IqWN4egAAAAAAAAAAAAAAAAAAYCrAQw8AAAAAAAAAAAAAAAAAAEwFeOgBAAAAAAAAAAAAAAAAAICpYHJjelQdoqrT0MqsKqbtNReLOxHW+eT6YrpcT8fb0k3ryuYVdeT63l6MB0/3MRq3hOvA81gYql1EzAymw9bQN1/omkVx3XJxvI6GqKuLzvPecLTb+HnsOdqrQV07V4OQoc+xyELHTBkSGQdlY+DvRES0VmvjVXsWQ3l3ztb7bCxcKLbNrdTfn/x2HeDj1776CpHufx842f9+/NRBse1bX724//3Sp+pz0FlR/bZnXI/nzolkW+euSlVYwnPXkRIRpW00kR07l6OVWToOSFRnPFenPqq/bMWxKBEjJBpvoECMEFOvdFA9LKz+pH8ftv8Q2e0erVOuFvWQMVcaNl/HTdoqxrsnBWN4jDx+wTTC+5UXZ4MTtZUiXdD25jLKmEy5MR7GSemYJla6EjERDA3ozd0yNLF1rKUcMjSrmzaa6yWzPPT4mNnA6mw9tp0/JY9j7gwrd03WqfNUPY7jc4XmPI/PRWYwbtsWW2NAN403dsqImRHFyy9a1jjjfeQQtZPemM3Tc8+xybxdtA0xYwVEz8cY41RF70+Z8RDc+T1PF2ybio31Oqu1TZo/I8d5cyt1fnp+23mSzWPZPJ2cGKXjjNM1kZxfC2wQjTM47HzMG5dF+2ZOPDmF7M8q3kxOzAh3PBNbJ/NtG1uHctbQrDo1N/H1L6cOGec7HB8zOIcI55cTf0XvJ/qqfR7DWHGHiOQ6M78P6fH1Kjv3KypWB8+D2z09x+Zr7uy4ho2PMiEzHwAAAAAAAAAAAAAAAAAAgOHAQw8AAAAAAAAAAAAAAAAAAEwFEytvlTY2KFWdptsVl/VhLl4NF2jL/afhZmVIWul0bFtyZCuEG5dyw0nWIyadjh9j1C3MwzsuTmewXFZSrpeeO6jY1mUyWMrdS0hmeRJe/H9P2kVkPlhujEi1p9cvvDpZxWqXNi6/xiXGHNc3KWFlu3uJ+s2pa4S1bdWLuaARk+na800pJbW6/4L+9/1/tdD//sTJK0S6x/Ye6n+fPyPrdOBr9fd9j9flzp2REmDcFS6tMF2tIV3adiVVdf7jSbHwdslw8dV42zrGtePlX0K2ypMpiUpVWXXPqQPF7TKXPfHuZe55tNypM+sexmrPNjI8UekhjiVdpPOISmfl0HC1rctN3HV33nb/1bKQYhv/rm1bjgTctGJJ/JlyaE7fjDLqNs+VzduihGRgtNyo3MBu68NCOof9Huwvw7rYG5kOrkcJWUQhV+FcI3wOoOclbDwmhDbW1dieydVWetuZs/U/fHyX9BzIkAwOjsWnhq0x4DD7D/w9U9ZzlHJZmlHnPwlE5VktycVRSyxG9snNP3qvzjzGsESPmC9zmWw1T2fjvs7y0/U+Z+UcNrG5dHVuRWyrztb/p5V6P72mJMaOk3j/HCepR0S9Zv/Ika2KyonmMqQcnjdHDKs8ZhyHN56Jrkc2rzG25iXyz5OrFHmY80CSc/3S5zsocerJhakNsTo50n1C6kuvLTr1FfD6RdeLmf3S4zx3vZzLmvLver7M6uTZ8rbqp/D0AAAAAAAAAAAAAAAAAADAVND6ocef/umf0g//8A/TlVdeSVVV0b333iu2p5ToTW96E11xxRW0d+9euummm+jLX/5yqfoCAMCOAfsHAJhlYAMBALMMbCAAYFaB/QMA7EZay1udOXOGvud7vod+5md+hm699dbG9l//9V+nt7/97fTe976Xrr76anrjG99IN998M33pS1+iPXv2tK5gQ56Iu7YINxdHnojjuP9Il6lkptMuRKJOnrRSMqQ+otIpnku9cFFXbkxRV3zh2lnv09mzKJJxuauqq7rQnCEX5mHJNhFRxVzlU4b0QGehK7b1uDQJq3tDwss4B23kxkSejlwWP0YuL6Cd0RruXwbVwsLgDVpijMtb7a3PceecbIsLH6/d2Lpn6ja74IQ8H1y+bW5V9uk936rz7J6u5bOqM1JKi9ZYnYLHO07Gbf8GkiMxUMItOkeqKleKJSwBY8hCeeV6BF2mXXdLY1vDxVXce5w6DVv3XHLyKCDFItyTvTxy5Na888iz09KC7H8ugeBJFXrbuC323KQFuX26MBNhA6PkyCzlysZFJfmEPEkBW55z3UePUfwcdNl38si2D1HbYd6H8tpWyJJG5VKcdoneD9x0xj4DKlIni8oxetKrPB3vt3wcqcpt2NFk2E4tJ8jLdWXU0o6ME8dmAy15v2HJlryMXkdBuxZNF7bd0XIzxopt7E6OdErOOfHuLdF0pSWtStjuHHk/B09epzIkzpO2azwPJstSzcs1EDE+1PJ+XM5llcliafsnZKntNaX+eR2zDRzrGLDqbH526hrTcDklPVcZsg+bY3+dR+Z8J2s8XEL2K4iUbQqGLFDnwMwjKnuWixjbqOzn63XItM7WINW4LEs2NShB6+5j1V1LU6XBNtALD9CQt+JrfEZIhc0qBddRWtL6ocfLX/5yevnLXz5wW0qJ3va2t9G///f/nl75ylcSEdF/+2//jQ4ePEj33nsv/diP/dhQlQUAgJ0E9g8AMMvABgIAZhnYQADArAL7BwDYjRR9hPfII4/QiRMn6Kabbur/trS0RDfccAM9+OCDA/dZWVmh5eVl8QEAgN1Gjv0jgg0EAEwHsIEAgFkG82AAwKyCMSAAYFIp+tDjxIkTRER08OBB8fvBgwf72zR33XUXLS0t9T+HDx8uWSUAABgLOfaPCDYQADAdwAYCAGYZzIMBALMKxoAAgEmltbxVae688046duxY///l5WU6fPgwVXNzVFUDdGi5lpun18a1zLhUmNYeszRsVbqKa2A6MTOEXtu8jCchdejseCSVpcvZUcdoaEMLrUgieSxObAkTR2+3Ed/EqLuOmWGWrXWjuR5cUNPQ02avjLZoaB6zevBj0sfrxTfh/4s8lP4mr2Nl/N7AO3e8jlxvVF8jTJuyOrtSf1eaeQtn6/409/Te/ve9qg69+Tr/uTNSD5XrnFYsv+qc7KuibfhxRPvqLsSygX10X+caljn6orkaviU014fWEc3Usxfxmvh9Q/WrwnESsvQnc+swrDZzbiyD6LkvUVY0VkC07xuxuhpaqCLdYHuttzXuZfxeEdUo3badOkSTF/qoNaYNrKrtdeTH2V+isUBE/t45jN3XRGyJaKw0jaV3H2yLpp64fd1b/bsRF8Q6llzN6hyCMX+83/n5qToxO9wqRkoOxrnz4pEI1Lifj80qMZ5XY3sHcb65fr4T+8Olqoio2vU2cCj7t9sYZUy6nLgguXGQopr90TwLxK4wye1DBeYN0bhIIp5B4fmEG9OI69mzuKvVmpzDchNTcdvVIoaqWM/gsT8mMH7luDFtYOrRwDGUFTfN6+rBsZ3VZzcJXgfePHOn4pHkxuXpV8GJsexm58XlCsY0CdSPSM3j3PM4uA655Xp9y4otkhv/LTpWtGOaBONS6/VdbrN6zKbq9V1+Per1Y7aOLdaFG20bm+dUc3NUpV54GFrU0+PQoUNERHTy5Enx+8mTJ/vbNIuLi7R//37xAQCA3UaO/SOCDQQATAewgQCAWQbzYADArIIxIABgUin60OPqq6+mQ4cO0X333df/bXl5mT71qU/RkSNHShYFAAATBewfAGCWgQ0EAMwysIEAgFkF9g8AMKm0lrd66qmn6Ctf+Ur//0ceeYQ+//nP0yWXXEJXXXUVveENb6Bf/dVfpWuuuYauvvpqeuMb30hXXnkl3XLLLa3KSetrlCpyXSVdF1XuJmXJO5Fyt+TyRFrGKMONsppTrvLrMRcq4UbO3eI8mSnh3qdljDIkrXjeWiKKtVNDtorLbHE3MyX9JNymhMyUrHuP5zEfdCfmx6jPt+H61oBLliVWVy17xo/Lc2vlVdeujnM5Lt7MbU+5xgqJLOZO2yilw87jKpNlW1yQ6Vi/mztTy1H1FuQ5nT/L8lhV/YJLwpw5O7BcD51u67odt1vwuOwfEZ2/ltI2slUFpA+ibv+irR1bFnXrLSFNEqVwmwnXUy3RYhxXWNolKnOQK4eQ4yZdQo4qKpUQlVGLkiGH03TjNiR/1L1R3F+S3c+KSNmkXhmX95aM1QYOS2npNY7XN3POS9BlP5xHVBZRd9OhJQhtwv3ebdvgfahN/oPK8fZpyBd4u7WXgAhTQuqL5yHmTVq2haXzxs7O+JsyxmvFZb8KsKtsYEmitqFjzNOJyst1RaXvhpaIyhxvlRj3mPUoUG6UzOOPSgSGy7LK9e6fQRkZYa+0/WNyV0msQ+n1FuteJbe58tVWe5rX0ngl/nbE/rkynIPleVrlx7MWsuqZ0lTWeIvIluDKkWje/GFwOi9/by5u1SMo/7mZNGjnh5Sgbc6r+XcnBEKkDip/np8nxaXXFqPyoqI9HTkqJwO3HgPL0bjzEFvaWaTzxnk8/IJzj4pKQKeNDblGuw2tH3p89rOfpe///u/v/7+lwfea17yG3vOe99Av/dIv0ZkzZ+hnf/Zn6dSpU/TiF7+YPvrRj9KePXvaFgUAABMF7B8AYJaBDQQAzDKwgQCAWQX2DwCwG6nShEVQWl5epqWlJXppdQvNV924p4eG7xd989/x9Mh5a6KaV94N/Omx96YUzyP4Vow4jd5TPOcpowzY7XizOJ4eYpvjVRH29FhhAbZ1YHiLEp4eYqfgG27Bdg+fUy+4o1MP67h0fyTe39lbCdVFF8pi+TlZqM+B9vQQwcpLeHqsrZrpeuc2+8V6WqP7ex+g06dPT40GaN8G0is3baDn6cEpEMzZfxMtGIDSSzesd0dugNvCb/ntak+P0uQEki7xNn0Omf1PnLtoEL0SgYq3Od71tEb3p3unyv4RDRgHepTwTCjhmTEJbxJ7+1hvCur7y7DlUvwtrax7WU4g5O3y364+ep+onaNMDw5RpWD7BW2bWx/+BqUai5PwYs/z9DAD+Tpj3e2OfxptYCv7N05ybO2oxyLT4unhlRUdyw9b7nb1sCjhcZZDgXKtsV3D/nG4/euodCP09LDmDDNhA8d5PecGIbf6o/bM8DzhLLz8qtj8ZOj5Y4trzBpnZHtuhj09MubVDuZcv8WYL8fTQwRhj3p6Z3p6mPNbXVdnrVbk7z1WsNoww1twa7829m+MdycAAAAAAAAAAAAAAAAAAIDR0VreamxUHaKq04wFwTwLxFMs54mUF9OiM1e/RcOfvDeehHX5fsFYEPpJfvRJIy+7a5dlPf1rxBIJeoEkMtpJxzcR58B+y0F4jujYH8bTzp56oz/qjSHaQjxIlOWY+emnjCIOjPdGAGsz5+0/7mWhvRZ4G7pvf/D8eNuuy7ZNxtNY3V/EteWcb1pk18i883Sbx6xRb79UZ2uPHeFhoupOzLNH6quqWCrn61ulKlvWe+Kpqs1P9E2Q0nEcBtVn2HTDvlEd1eUs4RGSqRFs7qOvP+tNjqi3TbTjN2I8WW/CDKnBOmhbjk516TdDi3iiDD5XYW9BnWeJt6x2IJ7HxDCut3s9Sr+12yaPSD286z7q3ZF5XYbftrO8Ntw3mJ23Goe9VxZ4SzlXyzr8Np+Vhzf+dDxv9Byrjxe/jnsNR9+YJWq++Wz9bozhJzG+x0Sh2zHnjWI3/xF6NOS+DT2svYra1hbeXWYeUUqM5UvEYyrswVH8Wi5QJ/kWNvfEUEVx++e9ySzWW3pqk2X/VDqrbTAG3J4SHqje+CinbDW3kvUIei3wc51ZPzHnLBFTZ4xYdXfHTSW8XiL7qzy8OrmxQCyvkuB6hquo43nHiL7A5rd6rZvXj8ee1vNgvt7rebY47TSsh7TF5PVsAAAAAAAAAAAAAAAAAACADPDQAwAAAAAAAAAAAAAAAAAAU8Hkyltt4UnyWBJWKp0piUWeRJRy13FcwYSEkCURtU0eVn5yfye4uBOEXNSPe0VpySm+T3IkBDp2WQLPfSza7pG81X6JBcCmjg4mz6SlRNAyVa7lduVJXWk5AF4nJmnVOL9MCor3GDe4o+fRx/PvGN+J5DHqIOciw2rg90r1x40LF/rf586sim0iD76fDmTO3RaZ9JW+Tre2pWT34amhRABez+2/hJzOsPJE0bJKByrOlQrwJLeiEllhCRieXywIrS/LYOThyeGEpWc6/v/W7zslQ5QhZybuFfo+FAwS7DLOILCTTkpElOLSa5ntFXb7zynLS+dJTkVlW6LXfbRO0XQ58gA6v6iEzU5dExkyWNH+w6VUNv83pDei7RK813hzGyl5attyLteqx70iWK8anlVzdT2icl5eENC0nnypmWnBO0ZjfL653xilEoeVcfLsH2ecY4eccXM0vxJ55B77sPOGNmNtLvsSlIN284sSrLs1ZvOkuxu2UexYmen4nFmsFYHtiY57nCDf3rqJPY4K2l4vP4V1HXjSRy5BWzn02LaFDFR4DGPh1T1H0jZzzCvkx0rIg+XY0eAxNqRLzWDo9jprlqyUWgsU6++ZElbhvlp1iKhDUXMKTw8AAAAAAAAAAAAAAAAAAEwFeOgBAAAAAAAAAAAAAAAAAICpYOLlrbRrTGW5oDmyVcJNUbvhCHclO+K8kI9alz7bwmWO76frzlzCRR667nybkGDS7pbMn6fLZQIcPx/HVVxW1nGhzXXBY1iuS5WjbiXOqXZz59t4O+tyeHt2HMkWfk74efT6xYZ2ixssvdSUrTJk2hryaDF3Xd5/qsVFtr+qH/suStIum7y+3D23K09W52klVcXhZa+s2umYW5yoha57v45V2K1t1+JKjPD+EpWGUw1m7Rd1J9b/R93vW7jKhighc8DrlCM9U6JOjbZl50vITOmOb7n1ahto2P2oDJam9PnOkW/w3H+t9nPKashgctk97z4Udcn1GNY9e5qoqvMfT05idOORAQmHL9eSqyshVeLKYGW4refUwatHrryLlqzo5xfbPUybe561n9MvTAkratoSM79hpSKc/Lht62jJU14/ry/lyE0Fr7/meL6iqR4Dbsn7aYa9lvX1FJWZi5JzDy8hb7dTMl2aHMnBEsdojXWiEqyjkPAy8otKjbt4Y7tg3S3p0uTYsbAMty6L51mkryb5dxqpOpufhmyVkd6ZB4v7r+5v1vkI5reZxeDzG+7rwfFHs9zB15y3ThaWTI3Wb7u0Fjnj6MLjsihRG+XNH726i/OYM+cJ5ufNd6Q9VBvFtgzpblUP79xZ4+Fh59jw9AAAAAAAAAAAAAAAAAAAwFSAhx4AAAAAAAAAAAAAAAAAAJgK8NADAAAAAAAAAAAAAAAAAABTweTG9Eg9IupRtbAgf7e00RQ81gJ1u/X3qCab0rNNq068Aq6Ju8Y0z7oqjyF1Fxv7cz00HvNAaZ4lQ/C2cYwbhvao1qdbYzEj1DHy9nW14Xg9nNgaMlZH10wnNPQydOI01jFWSjfUir/iZ67qx7skO45GWTx7ptWn9fM6e+o4HiK+h9Zo5rD+rXtLxWNwXHRh/fuGSsn6YLWirhee/xr7vj447gkRha/VqWVLy1RjacJ76ThefAqPcWozR/bPzcPLT2zL1NuP6qGG87O0mYP55Z7vKOPsP5ywJq0R34PI1AX2dEO9e0j4/hLVJR32etntbGnae80atDfRMYJ7bnLv8cPmsVO2N7f/lc7fsoGjjj8Q1YQOnlNXS9nS284lHOuFXSOVrXku9NDXnPkQR8e5Y/97us9FYiPNClkxtQrEyipRj2i8n1He+6JxfLzYaNF2GvUxRuO1WdtyY39Ey+LJcud3Vj8uEV9ArKmo/PjYjtu/Tgtte+OYXXs3i+O+QXixNURs3mCsLCcPTjT+gUd4TKnillRzvO5ewNvBfcSK9bEt1nXfZlwy7DitQEwQL4aaadtzYlkq3LK8PHJiwznjxpx0Zn3Ufu56dnScG6VgbFh4egAAAAAAAAAAAAAAAAAAYCrAQw8AAAAAAAAAAAAAAAAAAEwFkytvdV7ahcsMEQ2QU9r6XbumcZmgBSaLtKbceHh+1Ur9XbvuMPefqrJlq6oqQ7ZCuwIZbnZeHq7MEndd4vJT68pliJfbs+tXGfnpPCqm21TNZcrS8GMR7vWqTkaTNdy2gi53wl2S90Hd/0Sb2X1G7WSWy/OwZMmItpEGsFxoV1bE/1w6jpfUOFfM3a968kz9e+OaY/spObjE5dfWHEkrlq53rq5vh1/DROw8dpp6XNNCb+O8HVT9yHLFjLrpR9F2hLveepJJUbmQaNnjdO8epRuuJuqWyds96HnruUyH3XejLr9RWYEc+QFPUiJHlkHLepjleufUdqUP5xGW5nJIqdk+00ZVbX6ibRR129b3Li6j6bjEm+7iXp0047JnUTmm3P5XwsZE8iYardTNTkns6LKGlQdybKXfp7nkFNvQkNNl/3P5Vy1/y9P15HGYcqa58juzQo6MqZtfAZnQ3DxyJJNKkzMWGdameXmXYpSSMiXGuSWOPzpmi8rMRtNxSWk+6cyVeckZOzbqupWumt558Hmp+1ZyQgEa9y2eR3RM0Mg0JgVlyXE1JOejdYoSlRaUlWif9wjy9yTMzKzFuqizFuhOb/mYf/Dvm9vYxsb6cUxaN2orTdkyHR6gN7g/5sowi3VWfrzOmnVDJpWfx6jUVcF7yIyOIAEAAAAAAAAAAAAAAAAAMG3goQcAAAAAAAAAAAAAAAAAAKaCiZW3qjoVVVXVlCtgLkpCVmrelh2qLrig/l27WzMZHi6dlTZkuqo3QrfUhrsOqzs/Xss1nEi6F2mXIcuDqCFfw6SVuNyDlnTiLl7aHY/VkbtGJSV3ZLlXea5Q4ricNhN1n5eySGmdnW9PRozl78p5eW5XPKl3foRMmVM/w0Ww4aZpSQ80zrfRp7U0Ff+ft0V3gWRCJpPw9FlZR9ZPRD/2ZEa6xj5UH1eVeg3Fmqknx80+R+qk4QbuSGlxPBksi1wZLE6OPIhbp6C8U7QeuXIQ0XY3JX+CdTdd51sQ7ReNslkdRfsF3V9HIctgZpchYelmqGVpRGF2uhlGjh+ce5yQJWX76Hsm/0ecX9n/xLl3pLRM93NNjkRbjoyMxpNhyJEl8KQDxikZGK1DjoQXp7SU5DD79etg23kxro6eU9WHU4+NwTrBeYnGkuvw2CkJpEkmQ6bEk7SIymWEt3nkSLMMK/2mKS3nVaJOWTZeS9AZ46XcMWAJiZoc6dISZJxjb2wnZAC5JFHyrqvgmC16P5lF+3de6l4fu7V+o9eQLNum17UquWDD9tf9dPixndUvcmS6dP5hCdYsib8W+ww7dvLaLGpHc9YfoufKlbcd8XpG1hidrTNmSvNaclSVuci8TZ1y1kcGpWvRvvD0AAAAAAAAAAAAAAAAAADAVICHHgAAAAAAAAAAAAAAAAAAmArw0AMAAAAAAAAAAAAAAAAAAFPBxMb06OPokFYLLKaA1ufbs8fcJtJ1mM4Z37BxTib0YjJwfcc5rifnPFOad+JEMERsEU/zzNGalvmxmAmO3J3QS3R0Bht6vjyWSsVieqzLOBFUyVgb/Z/n7WMUOppaz5HH4GBxPBoxQnifCeocu/FNOJ6Ot6fVyOs+52hJJhbvgx+HSifqyLfpa8no02l11a4qj6NzbsVMp/u+l6dIx/sTPydG3JIU1fzfjVTV5sfT8uealY6uoa/nbNiOho4k70v29RetU3GiZfHYEp6OsLfNi/dhahh7usdOfqX1/KOU1seOajZ7MWF2StO4dJwWjneMnk7sZgI1cJlStM6uGMfYAxkex6Pas8j2V/rQPDZZimkHe9rRWfZWE77+DLucq7Ec3eblHbWBZp2cTm3F/9H55xxXad16j1xbFr1/hath9PfK0bd3dOy9fivG8CIGjh7rtohpMIuxjkrEpBCbBs+zsuJvaErE/ojec3NiZuTaLitvr066r+aMlbcdEwzBKGIVWeSOr7PKCurjW/tQZhyG3PZsG9Nlmm1g6tGgfm7FFwjHNVLnzbo3eXkUidkSJRijrIT9dtehzJ0yYzJEtw0Zx2Lk58DL2xqzZcY3EXjpcvJzsPq+FyPEu5ayGPI+BE8PAAAAAAAAAAAAAAAAAABMBa0eetx11130fd/3fXTRRRfR5ZdfTrfccgsdP35cpDl37hwdPXqULr30Utq3bx/ddtttdPLkyaKVBgCAnQA2EAAwy8AGAgBmFdg/AMAsAxsIANiNtHro8cADD9DRo0fpoYceoo9//OO0trZGP/RDP0Rnzpzpp7njjjvowx/+MN1zzz30wAMP0OOPP0633npr64qlXtp0n1GflOoPbWzUH512fq7/Sd35+tOpxIe68/1PNT9Xf+Y64iPqtr4uPtVCt/+hTqf+9HrikzY26g/bX+zT6VDa6PU/nEad5ubqT5Bqbo59OuYnDK/D3ByltfX6w46Xqo78dKrBn0aF2T6pV39Uflv9JfWSTKc/vM848LpXnar/Ece3pqS9dFnWNu8Y2Ueeqzmq5rv9Dz+OpD7iejF+p16itLpWf9h1pfs3749VVfU/Yp+UZL9VfV+2rZNOHH/9cdt9jIzTBvbZkrka9PH6FUNcHzp71r/VBnXNztWfxrWV2Me+Ts1Ps1L2tlCbOfnz9ovmkVt2Tp1EWyb7HOv8rHaP4tlNUY6q37DtouH9rLchP6OkTf/cwrP5Uby2Fuky270wO2IDHYRt0+MJY4zUHPPU91l33CIysbfxOulPiwOLXffW9aLh2zwbbZUVrWub6yC6j2WzS1x/3jGO814WThe8f1l4dj6chd2/xXjU6fvumH2CGav9s8YEIo0xBthOPicnXdY1btddjD1z7dCwY8Xc/HLaPTp+j44/oukmEbdPD2njGmUVsC3etTDsNaKxxtuNdIXbKch4bWDwvmtci6aN8dI5WGtD286f2Sdaltkkam0oKw+nDvzenF3XtnOpbeoUzoO3S844N3x9O/P0xpzOuE5LjL09zDl8hi1LPXMs512DjfVEnodXp7bj6yBVSvmz52984xt0+eWX0wMPPED/8l/+Szp9+jRddtll9L73vY9+5Ed+hIiI/vqv/5quu+46evDBB+nGG2/cNs/l5WVaWlqil3Zupfmq27yg2cXAt1WLiyJZtX9f/3tiWs56sbviJ+9sHccjnT0r0vGF1rQiYxmIsnlz6sVeo6n1MVqLuo2HL6Ks9qfRe7ihH7jIjWxbsO6Nsq3YGG78EBbTYl7GBBEa31x3Tp9v6wahFy2s/Lz4GY6unT8QzjBqLL9GnbgeY1D7XDxw8vT5WJ9p9Gcrto2C961Gnza29VZVTJjzrKc1ur/3ATp9+jTt37/fLHNUjNQGVrfQvBH7JoTRr8J68x66P1savNG+PWjSZ22LoMsdNo/o8Xr7Res0aAK4Xf28skosIvH89IJqdMKVYw9zy8oht6+Oqx4D2mI9rdH96d4ds39EY7KBwb6uxxU8Vocfj6u+5np8fOfEGmj1ACMHq595/dSL9xC10aO0I1GiNrAEXnt69juyj94vavcmYeF/nIuouceb0qYNpA9N9xjQux68fiPG7rH4EWaMF020f+j7FotjkaWP75FzfUWv/2h+JYjaZM0o61E673Ha+BxKzCG8PHPGwEYb7fQ4cBxrgWFUuwq7l9GfvXhTjbW7oA0b1u7pOfyweXj7F7fRBeoUziMYt1cQvc5L2K8SY6zoGkMJW57Thl4cK2sfr6wB6dqsAw7V4qdPnyYioksuuYSIiB5++GFaW1ujm266qZ/m2muvpauuuooefPDBgXmsrKzQ8vKy+AAAwG4ANhAAMMvABgIAZhXYPwDALAMbCADYDTivvvn0ej16wxveQC960Yvouc99LhERnThxghYWFujAgQMi7cGDB+nEiRMD87nrrrvoV37lVxq/V51NCZ1mwfxtNfbEZ14dyjp7wsffdtdPD5k3RmL7NDwWeB6qrLRepxV11pIKxj7aI2SgzBM133bnTzR5nUTemwkH5h325tCw/MJSQw25BcNDwnmSGH1TSeyzsCD+5/UN5yeekA72OCCipswY72t82zbSWm1pvG3A+6rzdmtaXWWZsDfCVP8zvTb0cXAPE90HjbZOTlMIrw/jmqhSRbRDL0WO2gaGyHhToOEZlOliKzMJencYb8l4/UCWM2IPjmje/Hgbb3wYZUWJeo5Ejz23zfhxpe3fNtu27HC5/O2U4Nvqbn7Bfby3Uzg5ni06/yiT8Ma3w9hsYPQtoMZ+hjesflOOpeNjuKQMU4k34ix7O9BlPIJ1vTT2tzzLMts2h+ibaLqJom+sWW/I6rfLcuxoaW/dNvlHKGHnef+Jetm1KTd4P7C8lQf36Ypoh9T+Rm7/UiKi5Pdfjmofc2znnbMS10OQrDdxc+sxbDqvfuN8w9Z7s3dI1YDwtqjn0Xb5RyjxRnV0DDhqb7sSY+AJY/Q2sEdEvXDfdhUtgh5TWiFk0vDm8HxbrqqDuV/mGCg6NnbbPWgDzXtK1ANXH0dv8NpvEQ8gzzMzx+ul9P2lkcxW0THz0/OO6P3VnBsMN9bO3vvo0aP0xS9+kd7//vcPVYE777yTTp8+3f889thjQ+UHAADjADYQADDLwAYCAGYV2D8AwCwDGwgA2C1keXrcfvvt9Id/+If0p3/6p/TMZz6z//uhQ4dodXWVTp06JZ7wnjx5kg4dOjQwr8XFRVpU8TgAAGCSgQ0EAMwysIEAgFkF9g8AMMvABgIAdhOtPD1SSnT77bfTBz/4QfrEJz5BV199tdh+/fXXU7fbpfvuu6//2/Hjx+nRRx+lI0eOlKkxAADsELCBAIBZBjYQADCrwP4BAGYZ2EAAwG6klafH0aNH6X3vex996EMfoosuuqivzbe0tER79+6lpaUleu1rX0vHjh2jSy65hPbv30+ve93r6MiRI3TjjTcWqTCPLyB0mNdWRbrE9dVEBkqrjuuS6TgEBklrTIrYDbbWu4i1wDVrVVwMM4aC1tnjsTU2HE06vh/X+5vTWngsj2AMCi9mhNhvTsbWkLFZYjEAhFahjpfCQ0bwdiYvaERMu07uo869F+uF64H3MmIvrKsYLvPdWDqrb6njtfLT6czYL1o/mGuhD96jiY4fwvLgMWz0+djqC41rccRMgg0UZMR1sNqyVX7ROjmaw2E95+i2EvEuLKLxPXTaEhrBxn5h3dDGjsE65WgJZ+ty83gL7WM3uWQdRwHd59wYAKbm6WRoO++IDQzqBZO6BhIZsWj0sIDZIn5PCV9TTtrcmEnhGCH8ft+iviajjCNTQnOY/+zodyeqtzXuefz851yLuelyKK2Rr7HsbdQGemTeD0y96GickREyVvtXVZuf6H1G65sLfXc7jyJ2g+NpevNkJWxX6TgWVn4l7udR3XIPZywvs3bac+j4QcHYaI1t0fhqTjprzlfCFkTrXnqM6pETx27E7MgYsEBMLbkG52XnjL34HDYztoa5FujEiRDlOOMer+4iDnDwGKP2y11XiJIzrojGpMtZRyAS17p7TNbaxnZlG7jrMsPe8zLjkBaPdRM8J9vGEmlhg1s99HjnO99JREQvfelLxe933303/dRP/RQREb31rW+lTqdDt912G62srNDNN99M73jHO9oUAwAAEwlsIABgloENBADMKrB/AIBZBjYQALAbqdK4X5XehuXlZVpaWqLvn7+N5qtu821yw9Ojs3ePzIi9dV9xnUDH0yOdW6m/r67a6RxPD+E90dGeFMN5eiTtiRJ92pfj6cH38Z5aem8xRt/k9gh6eohdeDs7T5/Db2DyJ7jKo4h7dzQ8Pfj5yngy7Xp68HZR58d8cyDT0yN67sS1qfuq5TmkPXZaenqspzW6v/cBOn36NO3fvz9Uz0lnywa+tLpl0waWYJyeHka5DXLecvMo7d2Rk7dXVuG2zfb0kDsVqs15ct+ajr5FNwlvvZU4pyXeLqfz9i/dO1X2j2iADYx6ejhervr+LLA8PdZi3r8e0XFG9K1BL/+Rvt07ajLscvRNZ+9Ny1LXosmw9iLq6ZHrEZJTvxL39Zy2aLyhWE2lDcweA0btpKL4GDA43wnbrtLkjD3bvGmec42O0P4N2Ni6rCLslKdHiXHjBHt6zLwNjHo/GWtwHm3s0iR4esjd7TGlm25ucP/26ufNR0dq50t4QZTOL5pHiXQlxlGdWH8qPqaMri1u4+nRxv5lBTIfB2ljg1LVabigcbd0Ia2kLyS+6Momu40HFmxhNa2sUIRK3XiS1U+dhxnS6Dknnj84cR4ACbTxYW3hl8UWCLhUkTawvK29ByKOu5dpBPXCfNC4i7ozWYOmfJJRlicJxs9VV8l0MRoyUKzu3kMuUQ9jn8396gcuvB4NN00+AOiydlbleg+HstKtOzfHHuuDznXLJcH8c1/YzW4SSYmIUvOGFJ1QWdk616zop21cNEcp6VTigYiVt2aEDymysR6Klhg8lj7e3Dyik0hrwjpqCRgxbsjt0wXymFXc8+n1ncEP212J0qjLfrCPJU/aMmPS2MwiOKaJShYE6rotw056cieeYvHDGY+UlmeKStjkEH3wG50Yl3g44u2fc78Ojy0mQ95lbGyNAaPH7ZyL4vKXUTy5jAwJjxIyKu5Lc1Z+bR7gRWVXS9gXA39OZ+5kl5v74CAodSb38aT1CsuVRh+ieLY2h2h7zprNs4jOb4P2IPxQsMX9zMozLJGV+YDYutajL9w0bCp/4dZ9oGQ/sBn6ZZzMMdrQD560bcypX+5D8HHlp+2wlg3dQq09RV+odrHqqOsQfRBTdYioQ1FN/cKrSQAAAAAAAAAAAAAAAAAAADsDHnoAAAAAAAAAAAAAAAAAAGAqmFh5K6o6mx/thmpEj2/GNajlf3pnnq5/19JUOvbA1u+elrN25RGuUbabD5dUEPVQsT+4O6Oon3YtE7p7afB3IqoWDEkm3Wa9wTJLXAKMSElkzUmtxcTlwoQslOpqwu2MuxIq7UYu/8DyaEiHJcONT0tLGG6Ljf5Dg12rGnFQrHNKsi8kJu/kuoIZ/ZuIhCa5jvchE3L5MfZzpra4bLPBcUUaVdBlcZc25xgtt3DLdbJK1fQrxURdB3NlKkR8mFi67HoMKyuSK01VOj8Pq6zScUtyZWlGKV+RW5Ylo9Aoy7Bh2TJqQ0oMjFNWCzIHNYY8QOO+w7Yl7v+s01n3Gq8/R+VOCtjDqCu5qw8dLbe0Hr1nA6w8grEJmuOCwfmJ3wfsZ9ZPZh5LN2p7G8W0qdH7uG6jHO3oAmOBWaaqhrP7UdnRUcpcFpaSy5X1LB4jySMnrk3O+DVqk4vIb2VK5JWOQRQlGoMjen0VlwvMkekacZtNIltrgSXmfo5Uk3WtZ8cDk5mbdZL5x+I0ums5BcZ21XyOPGmm5HjuuGpgHezz49nynLFyrsxieIwelar1iNreqHqmWI9mfTV3bsDTOTLunkRw1alarQNi1AkAAAAAAAAAAAAAAAAAgKkADz0AAAAAAAAAAAAAAAAAADAV4KEHAAAAAAAAAAAAAAAAAACmgsmN6dHbIKo6lFToAqGjxmJQ6LgVaXW13iZibnjxBOq8G7EbjNgfm/UYrLfMYzBsls00yojrUKuyWFyMRiwMDo+ZsWcxVD8eg6IRL4X/78TjEPE0VLuIY/b0+SwdQ31++Llj5XYWVCwRJ5ZKJL9Kt4VBcvTm9Tbeh0T9nLJEnaK6jaqdRX9f5zFWyEwn6tRbt9NxvdtVnaFTp3nj+WowZk/j/MyElul5PWfd57gWbI4udukYIZphNTp1HpHfR5EuqEsZ1nyN6ioH9TFdTdESmsNRcvJzj3GMsSuG1VUehR2ydLQ9OzBr9Ng1prVgLcTYMajVnqtV2ybPftbtNYHb7GdXR9uRYPyjEtdBMA9LB9mzgTqOh8koY1CNAuv+7463+fhOj9useEUF7Evu/XUWxnfjoHQcghxy46sFrylhA6L2xNqH5Pgtmq5IfLXI7zo7HYuSz8+s42hTltWGpeO+lMAbH+WUFY1p1IhTZcQSya1Hyf13M57N4utuenxkxXhoxAHmY4xgjDJNNEaZEUczug7Vqk4WXlnWmNJZr8mNcSEoEHfKjJnhrJNx9DqZgI2dkhH3d7v6FblvcMYZj8uLjWTVycs/8vs2dUobG5TckyaBpwcAAAAAAAAAAAAAAAAAAKYCPPQAAAAAAAAAAAAAAAAAAMBUMLHyVtX8PFXVgOoJqR3mqqZdEblkFNun4YJ1bmXwPh3neZAnySOktDwXLJZ/T7ldWZJWqtyKSzx57kRst8pzE+JSVcI1VMk2eZJb/Fg89zmjzbx9eLmunJXjylvx4/Jkplj9hJSW1y90HmuOJBqHSzIY0lSbG2NubK6EmwV3U3TcQ6uK1XVeSoy58iFWv1PpbJfIwcfkyY3telIiotSUmYhKFoi8MlwRc10lcyStonILhWVEXJfcTIkBlWH7SgUlEBrlWu7UmbIRZp3aSGPslDu+JTEwcsk23n/0dZshS2PtP+twKVIu6dHTEpOx7Kz7TlO6Tuzk1K+sy7l7jMZ4x5U0ySq3gORDm20i2eDzE20LV2ohp+5tZM/MsU9QZsorW0h8eGOhwvKBJWSrcu5DsyaDZY0BvftMKN8R3wetfQoQtmsNaQ5jv8Y9wxgvaHkUxyaH65QzfnfSWdJ/4fqN+noapTSolpLi9tVZzwjL+0Xr7slqDXvdzjK585ighJwpg+VcO01bFJXhjEmcevJ6Ju761+C1O1eaPTnrOp6keY79ieKUa45Tc/sLz7+EvFOUHJnwqBR67twlusYgdnHmUCXqlNI2Y18JPD0AAAAAAAAAAAAAAAAAADAV4KEHAAAAAAAAAAAAAAAAAACmgomVt+qj3YQ2DJdFDXdRZft4UiRim07H8/NcvAwXuUZZXErKkcuq5p1TxPNn7mh6H1MCqOHWy4/DdusV+ynXpd6Zs4OrOqfaYt6QqtKueUL6ibnckePO5NTPlMVS6Srm0tdbrWWmtPQT369S/VHUl5Wr06U0uE82yhI4kmD8+NlxhGWvtJsilxVjkl0N105H/kK4N/ZW6+/aJZmXO0r3yN1AVQ22cabbdqb7b46bea6cSTSPEbrB58i+NF00HTtvSRE03DIz0slKxfKLMk7Ji6hEVKOsqLSFc13kYOURlUqI5rfdNl32NMv7cZy+7skIiLZ07k9CVpKPF0dx38mwj+4xBvZvlOvYh6ozuH6uFOAOkVun8NiisDSPzDtT3sS8HxSWrfKkWcjpSzmyDFGmXc5KY40BS9xnchihXKf+PesajUobc+acOaI3h+fzdKdcd6wYlarNkLR1yxUJM6VLc8iRBo3WvdHPMmSrrLmVzj93fmLVKXscmQbvP40E+6Yrwxm9xrxy+LjMWVPx1294do7tEOM+WzretG1ajt1I1/hVSJpzSXi9dsXXdRy5MF6WPl7zWlIy64XHm+ExdY4sVu4aiNU/ozZQr6eJ+Y+z/mfNl736eVJ9Yn6WeS+zbHujLXpEVJG3JMyBpwcAAAAAAAAAAAAAAAAAAKYCPPQAAAAAAAAAAAAAAAAAAMBUgIceAAAAAAAAAAAAAAAAAACYCiY2pkfqJUpVkvr/RFR1F+o0PE6CzoBpjHHduUa8C/4Pj7PhaR7Pae26mH6b2K/D6tFT+3e79XeurafjYizU6Squ3af1/swKqS3s+FPF9N+0Ph073rSqzg+rE9d8a+j7WXE3tG6fobXXaAuGGcOkDez8V6w5vXK1fqKlaSjiuRCJ88VjZjSrNDg+R6X6alofHIOkWlgQ6cjQLm/oZFtxPDLjOshrWLaRqa2o44zMb/azKvWEvPRU4um9erqKFiV0e0vHSSignZ4Tq8PLY6xa723iOPRxtLJLa6l7++e0hatlGtRX9fSXw22Rcf1wtIYqr5Onr+oR1u9up2W6q/HuJ841G72fRPMLUzhOknvfjcbq4HHU+Ji4EWOM/e9pVge1qMPXYtCORM+Pl25ofehRxM8a1hYNqwtPRO5gytSjb6NpH9RNb5VfZzZs4LB412HOeYn2t9JjO52fFVcxqGffKIvPx/RcjafjmvOqncR8yogXtbmxfRyBrHlXifM9akrYlwiN9YEJiC0UHfOacUtmYByYGy8weu1YtBhvWWs00XQ6Doj4n5XbiOHB0zG711ivcuLdchK3nfw49FolR8fFJSOmiROz0o07G4wFFUaUG8wvOq/OjfOZU26Ujn2/EoRjmGSuBVrrs7o7Wu00ZFvA0wMAAAAAAAAAAAAAAAAAAFMBHnoAAAAAAAAAAAAAAAAAAGAqmFh5qy20HJXlJtSQNFplEj9McknLMQk81y8uBdSopC0txREyWMxttlpclAnXWN33sG3aRc5y5e2qNuNSX2xb5UkpcZfcFdVmie2nXYh5O3nSCMztLioPJtrWc4PzpAssuSwt8UCD+4Kua9V1ZMrMcrUkii0tFYHLWbnptBQZb88e79/KxdKok3t+PddJx51T5BlxF9xJd+xx4Un3eK7ZUVd3s1ztGuvICZl18K5Fx93ScEluSK8JiTY7XVgyyHSjtO16cXSbCZmkYN05mXI44X3C7RmUUfFkXqIyWNE+HnX5zSknS7KMSLSNaItwrWYKT0ZAyjb2Bv6eTYnrys1+sDwTP45GWZbUi87bkVzh+yUxRlBtljLas0C7RMuKpsuSM8uVQHDzzLinComBXHlLPuYqIJcp8h6hzCLR5pgkOXMBUFP6XORIsDnl6rmALGuwjdushjEPVvUTczWenzeX5NeDmt+JOWJDvsaQbBm1LGrOOLeELYvajSxpl0x5X1NGxavfGGUFo+TMu6aJ3sZmv/HkYqN9OKev632cPExZTwdh97zr1LOP1pqKzq9rjBdUHxaS6UaoACKiis+/nfXE0nKvpcfaWXapjUx4VJqL3w/FuqOzHy+3pxKOcn7rpfPOiSWLlTkerObmNmXune7HgacHAAAAAAAAAAAAAAAAAACmglYPPd75znfS8573PNq/fz/t37+fjhw5Qn/0R3/U337u3Dk6evQoXXrppbRv3z667bbb6OTJk8UrDQAAOwFsIABgloENBADMKrB/AIBZBjYQALAbaSVv9cxnPpPe8pa30DXXXEMpJXrve99Lr3zlK+kv/uIv6Lu+67vojjvuoI985CN0zz330NLSEt1+++1066230ic/+cnWFavm5qiq5raRSGL/eK73TOpKSwFVCwssP1tyScgLaPkoXkdeXe2OJqQHWB76GC33NC31xd2E5plcga4f+z9163S9C6Ss1tzpMzSQNSWfxOpXqXa3xAEa8lEb3K3ZcRc0XFQbbna8zdi2hsQDl3VY92S6BrtdJ5LnSrj0OW7Xor66zSzXRMdlrBLJVFtYshiOe2TVra+DplzW4P3aSHGJtI5Lm6y7nW7L3S+NWdpgnDawjyd/UxpPgshySyRyXIODEkRBF9WG/IglfeW5jTI72rAvXCJrnt8PlASMJ4kSdWXlrqiWhNVmAdvn7ZWV66Jq5demrKgUm5WuhLSB5+JryW/lygi4/T0oSxNtsx1iR2xgFKcPi1tFrjRcsKywtEiwLPdea8nw6TGNIQPTGCN5ci+yUuyrPV5WG1rn7SebDLmPLCmC7MKMY/akJIXddO7rPI+obIsrsTPGscuYmDj7V+K+lUPUNgalS715jBi/Vc6yBZ+b6vny3OByPSlrV1KGt7u7TsHmj846hWsnhrUbuTJYkX2I4v3OvWcOKdunGde1MIpyduqaDjJWG1hVm58S85hRy2GbczpdjcH3ale6lKPHdtxOcXumbWBQ/lSujbF0q46UujcW89ZyLEmwXMnrISVKXcl1t9yywklS6t0ZR4l20Zm0l7wWY9n14JhS40nyFR4Pp42NVuuAVbJWlYNccskl9Bu/8Rv0Iz/yI3TZZZfR+973PvqRH/kRIiL667/+a7ruuuvowQcfpBtvvDGU3/LyMi0tLdH3d19F81V3m4ce3oDEiP3hPfTgi9T6oQdfmPYeenC8RWavw/CBG6ufNmAVe9BBPG7J4oJIZz30SKoO1kOPdOZp+QM3iErHjxtL0WYFHnqIxcp1Wa6lUR196NEwdOy4+Plu9EcnDswoH3p4etq2FnhMa7VxjXjXWQ5BoyeOy0i3ntbo/nQvnT59mvbv31+qhq0YlQ18aXULzVfd+OJDCXK0eYmGv3kV1sDPf+hhPGRt89AjijVAzn34EJ1AW/nllmvVoUQ9Rv3Qw9pnJyeyLXS5J8H+EY3BBpamRDycEZeVtaDPx476vm1p3+tYZFyn2Rm3CLyJrJPOZIceeuTacvnQY0Nv5AVk5R8i+tBj1Hnw49Ua06XtakqbNpA+NN1jQI9Jf+jRZj+RzIi/qBfyON2unc566KH7qIhL2Rv4++a2DXObRfZDjyjDjreisT9GYcdy+vGEPxzIpuVxTcI4cEdt4Cj7Zpu5afChh12Us0DMH1josZ0Y97F9umotMOehB+uLST/0CMbwJWctJzxWtB5S5D70MPDihhZ52OJhxmF15sEl4tQYsbX0OqtZh0a5jv0awbXaxv5lrzRtbGzQ+9//fjpz5gwdOXKEHn74YVpbW6Obbrqpn+baa6+lq666ih588EEzn5WVFVpeXhYfAACYdGADAQCzDGwgAGBWgf0DAMwysIEAgN1C64ceX/jCF2jfvn20uLhIP/dzP0cf/OAH6TnPeQ6dOHGCFhYW6MCBAyL9wYMH6cSJE2Z+d911Fy0tLfU/hw8fbn0QAAAwLmADAQCzDGwgAGBWgf0DAMwysIEAgN1Gq5geRETf+Z3fSZ///Ofp9OnT9L/+1/+i17zmNfTAAw9kV+DOO++kY8eO9f9fXl6mw4cPb+p0VZ2m7JCQ3glKATluYWl1tf5nnklEaYkftq0hTxSVEOL7dYNaofy4dN48HXdJ2itd2tI8d+VlX/fI099ZrWN8VE+fq78r/UDXja2Kuc+J/LgklpZq6hqxTxo6+oZ7lpalMaSkGuksyS1dPycOTG/DkM9y4ljw/HqrWlJnsKSV52bnHqOlmRuUs/Lc+VxdxMSurRy5HkGHzEAyI2JcNrCPdpMtLBEiCbq6j1obNYgracXJkWjL1ZC16qHTRWWXcuok9lEXSIbbdfb5jrrrmv0ur1whYRaNUVBaYqyxX1CLn+uTelr8O8jYbWAJcuxhmzaPXvfWPg23/5g7v3C597TQjTgeSetD86y5fIG+0ebYrNKyiB4ZbvTe+N2T23T1nHNiMnkyGTnxszwsSatcWQJxvJmyWmFbXBFRNf1jQFfeYodkfQqPCdx5B5ff1fEc2b1e2L+gVIwVs5CIRMxKLQct0HUPSPM26pRjJ6KxP3JjdVh5t7HjYVnPnerHhSWyisiUBceKOyjptWvGgJaUnRtLj6Hl75z5kyu9xwivGQYRds+K70FEFZP/E31JS5zyPDyJI7afJ2FfQhbWaqcSslI5MTrDUoXOtnhckMw1Br6LF1tKZBGUpvLgu+XKa4fvS8keww6g9UOPhYUF+if/5J8QEdH1119Pn/nMZ+i//Jf/Qj/6oz9Kq6urdOrUKfGE9+TJk3To0CEzv8XFRVpcXDS3AwDAJAEbCACYZWADAQCzCuwfAGCWgQ0EAOw2ho4e2+v1aGVlha6//nrqdrt033339bcdP36cHn30UTpy5MiwxQAAwEQCGwgAmGVgAwEAswrsHwBgloENBABMOq08Pe688056+ctfTldddRU9+eST9L73vY/uv/9++tjHPkZLS0v02te+lo4dO0aXXHIJ7d+/n173utfRkSNH6MYbb2xfs9Qjoh5R8iLED5b72YS5pK070j2Gu46QsyIpkaHzMCVWXCkkll/QJY60TEe3OzBZtSbTcfmC3l7mCryuXWODLkJdJp+1siK3cakELo2g8hbH3+XuySrdGpOI2sPeAlBSUtKVjrvtqWOaY+dKu/Tx/HgejjyKPi6OJy0l0rH+01tdG/i7t09DEswot+FKJ/ogd3vU0g2DXTE96bmk+xZ36Zsf3G912dzVz5PwGidjtYFblJARyHG5jrqsEw3vZh11bcx1+2cSBvyabbjkCmUl/o+yqV7/Ky1VlSObE5VHicoeeOXmyAPkus0GMe1trmSb6O8FJHly2mxCpA3GOw5MRJSaxxqWzAjavRz7qPuSJ52QQVj2oGNIGwT3qfTlbIzhGnIxQdW4uEt8+3PljwPssU+0XDP/NnbTsjElJItKSLNEpVQsu1fCLoUlvMYoj2awI2PAnaLNuR3S1jbmMQVkX0R+hmRx0j9bVdeyWlwisCFROaT036j7tVVuUJalFaMcp1TG2gtRvG1L16/wOKCE3GtpxmoDq87mJyoj7N6bPfl5Y87kyVk5ayrFxz1Revb81hwvqDXIao2t5TiS9YmPN4MywuG1m6iEqJaLD8o4iSyi5y13jmhIWmWvI1jjSGdeHZZ5zqGNHHTx9ZF2EqetHnp8/etfp5/8yZ+kJ554gpaWluh5z3sefexjH6Mf/MEfJCKit771rdTpdOi2226jlZUVuvnmm+kd73hHmyIAAGBigQ0EAMwysIEAgFkF9g8AMMvABgIAdiNV8l5V3wGWl5dpaWmJXlrdQvNV1w2IHH6i5wRptoI+N7JwPD2ib0MITw/+trHj6SECeeunsdzTY++eOu89MpB5b7FO53l6zD1Ve21UZ5kHxznpzZHW2RND5ekhuhN/Wqw9PbgHBz9GHSSetXuHeXrw/Rvwp++Ot41Zbw/dz5yyRP5BT4+cAFc75emh+zr39GjAn3R7b6Mab35Znh7raY3u732ATp8+Tfv377fz3UVoG1iE0m+TjPqt86Cnh9kf9TEafa7x5orhJea+JTHqt/JyPD34cUQ9PXIDshd523jIYwx7mOS+dVI42GUhT4/1tEb3p3unyv4RMRtIr9y0gdPq6eGU694nOSyd6zXMA5nzcZAecwXHcK4HbM7bfDnnKkhxT482WMcSvYe6niOF7ZIoJ1i/EmOBqF0ekG4abWBjDLhTXn5j9PQIj+10cF4eyJzbzK4zX2Y07BoP3MvmmUkH9GVKAVHbGA5+W3pMmevBkZNup8j19CjNDgRGn2ob2Ln1vA0Mzk88cudMBiU8PYTN8o7RUdkQ4z4+HlyUa4FiHux5lvJxH7d7q3KNRxyvsnlWIPNcT4/oHDHH06OInQt6XBTx9MgoN2tek7sm4O0zAvvbxv6V1ZQAAAAAAAAAAAAAAAAAAADYIVrJW+0E+u2KapHHdYh5X5hacLos56148XROvdHeYXUS9dVvwm8E3/jib5Dwt/O8s8XzUE9jq27dNnNnVtkG5+1JXod19dbKGstDt/tqvc3Tzo9qT4untizvZkIjNsuccw48jxDhfcLf6FFt0ct4S9DRKvTeSLTya+xjPEltXEvs7QDPSyP6xmk0hknWU39d1vljrlI1KTKnO0/huAhFNMdz3+AMbpPeQCxvp88KLWbLJjeq4MSUKXGM3psmOW9G8PNTIl6Km67AGyRRovrG1tsvPWWX+Btd3pv6xT2ZdiYex66jqga3VbT9ot4XRd6CGvKchu2cUw6/77qey87xRrV/S+sFl9D6NdrQ84b18rPaOvzGtkf0rTz3eDO8xMLxMzLjM2V5sWWe+5Sa45RpJHrONEN7Q7a4T+/U2/48diSfL+s3j634D7re3MPX6VvRuI9yp8y4BGPyiAvryJeea2iKxyDM6Ju53lUFvDwBYyu+b6v0DENlouG5ZXoy2vmN1BNU0VhD41nwtTb+uxrniRz4PFjHtxUeHMaaGRHRqmP3eFrhAGPPpaUXRJ6NsfPLHLOF7V5sDp+cNcPo/UAcl+ddNGzc0NL5UYt1QlHudl5YHYrG9ICnBwAAAAAAAAAAAAAAAAAApgI89AAAAAAAAAAAAAAAAAAAwFQwufJWVYeo6lA1p9ypuCurcFfSskM8SLMTKJy7WnGXdy/wtJIN6DE5KdPtiIg6C3UgtWRISREREQu4JuSZtCTBPMuDBRuvWFBzIiJ6mgUbn2dBjs4puSguY8XbRbu0cfeks+fIQrSTPkaO5+KU43bFskvRYKAK0+1K5ScCsgcDj4ug4USifd0A7VYAy47q38Kdc3A5m9kxN0DH5UxcZ6wOVcPjfnB+mpxgX5ZrYkNubBaIBpMKy2xYckcFglJ7Qa87MYkRKwgYke6rjv3mLsncD1Jfs0Zf92jWyUhYIpDyKIMklkhXgqjUV9TVmOMGYi0QpJVTOvjsQDmcuFvvTFI8uHMBGYqg/Y7KXgo5FuKu/aocFpySBzX3xmZynOrIAzR2DF6nJQLI52BIbHoyucXrNE6JGKF5UaAPu8EzxyjdV1VEVE2/DYxKVGpygs/nBvvNkSHKkS7Vsid8jYBLEav8qh63f45UDJ9n94zvLQgHq40GkB2hDKCbzpPci45Lw+lGKN/m5cEZtR2LjnMhfbU9Yl1CrdEwGSvRlFF5yTZzkGAeluxSY5xn2SlvzMa2NeamVp207C+Hr7nqa4WNI721K2sNSdfDWxsy20yfb7FGHLRz0XNq7UOkbJFKO+z4UM8NNmLpcsoNB1p3+4/TP62u5s4TeNZ6badqZSPh6QEAAAAAAAAAAAAAAAAAgKkADz0AAAAAAAAAAAAAAAAAADAVTK68VUsabmFzCwPTudHie0yqyHGZ8qQGuJRWWlkR24TbrJDBkq451ZzhottT7mNc+orVt3r6rFknsY+GbUtnWB7anYi7li1IqabEpL6Eq3HjGFlZ64OlBjbTsbz5OZiXx+G6CFrlMne0tL6m0rH2XKj7knbhE/0k6WMcvC2tSVkxfn68ugtXPeGNrtqsw9vdkWljMlv8+BsSD8LtzDleXnflqma5LWbLSZyvR5V6RI4i2FQQdPPMlgLyXFtFwUF37xy5BafunrulkGXzXDGZ5p3YR1/PUbdjXlVHSksmDMrBeGRIgrllBWUT4u2sy+JpM44/V8ohLBc2pFSEJxNSWn6s4U7dmx3pg6ibdq6EXFgupkAeYYk2vkvMFol9GmOVwTICVaUlEBxJqyhGW3jj6iyC7vzumDDans45aGUT6510RdrnkVtWVh6FpRVBPhn3cNm/MvuDJ4Nl9Y+csUgujj3hV2jF5jENyRaeB5/D6nTONW/bijkznRiH50qHWeTODcLyfkF7IPqPJ7E2Rlvj1ak01nENkmwBm5yXuo/2xca9WF9L9o7tft9uW1i6z5ET4mt+fOykxh8Vl7vi0qVackqMv2KS88LuafsqyrVDEci1MGfs5LUZkynj53ToMWQujbo6knQ5Mv05srC591C+PmlJZ3n5e/cr7xgz6jcs8PQAAAAAAAAAAAAAAAAAAMBUgIceAAAAAAAAAAAAAAAAAACYCvDQAwAAAAAAAAAAAAAAAAAAU8HExvSo5uaoquYaem0i1oIR70FvC2uV8zwa+nROXbkm37odF8Sug/PsScRCUFp4K3VsCBFLROfHNfl46IqGfqBxkKptRXyOhp794Fgl+hiFPh9vJxW3JFm6gFrTMBkasrruxjnhcTuIiNIqi7vh6cR6eoKJNTavU8fRdeV10scYjDcg6sTPvS5XxTGx6iNihDg6tqIeTrwPkYdKZ+bvxUuZdhptFIwZwftcz7Yjpv7yOOMFOGV5fS567Xh9LpKfe52X0ESOUkIrM0NfNHz8ug7RGCTR/IaN1eHpSOeg98/RovZ0pJNz3c4CKRFREjGs8vPK0ZLV52aEfTgjvsfmbrE8dFy1/u8NaeLhbGUDVqfGPsPq+Ac1kaPjlsY8woj34R77qOMLRdmpeD9uHKIhtfpL2+9JZ8v+RXXp3by45niwHdu0t5lHgbhcTrqUjHLXVUwjPjcVcYtGe51Ex55uvBRzn+AYsHCMqVb5m/c7py+FY9d5/TFqdw2b5I3Lcu2OGdMwcxy5lW7UsUh2ktQjol48xoGDGz8jGofMu54zrp/wmgpH7zPH48M48zZrbcjrf/xnHSOE18+bp3sxY0VCp93J2E/HPLXWdHNjYIpkwZi73vqXtaZJKp5GtH7WOg9RPLZWTszEUcdZNPcZbswHTw8AAAAAAAAAAAAAAAAAAEwFeOgBAAAAAAAAAAAAAAAAAICpYGLlrbZc2joLXfmz4aLfdBMa7NbUcK0yXGoablxW3jpPz+XHcpXXbrj8ny47fuWGW1luPqtKtqhrSBytrcp0hixUw0WuE5TjYuhjFDjugqJthQyWdKWTLoK2+5jYj7ucqfNtuuA1JKfYJaSltJi7m3CLi8rhOOmEpIXeNt8dvKHR15kbIJfL0scuXBid88jlJDyZCFGPoNu+aout+qZpdus9T+N8ctkh3p9d2xN0F8+RQGjkEXQLz5E9yHS/j8qrhfPPuYZLu3mOWrIgZ7/c9hu2L2i3Xqu/N6TdjPp6bsIengyJJTHn1Wk7WYZpt3+dOaJqzper87DasmHbrP1bnBsvf0FQgqQaPH7Qxy6lLjNkUTz5zmg7R8mVfuK7WPIFuVVy5AbMOnj9UcstCGkDMtMVl6OKyqiVlhXwroMcucNpt3EeVdVOzkGf2+g9x5I6Gad8WK68H9eeFjLC6hrlx+jZjajNs8bhuYxyrBgdr+ZKwOTUPVqPUcvHRiWnRLkFpK88eSGzTg0tyq0NRFNuJn1poZjct3v/pcHbGtd2Tt8MynB69fD2kXJ9fH6rbCXvVx17DMjzk/uoc5AjcdqQxO+0T+cgZNuDbevKngXXq2Qeg9erGnXNlXu17J43/8yxlbo+w0oGenl418i2+XXC9g+eHgAAAAAAAAAAAAAAAAAAmArw0AMAAAAAAAAAAAAAAAAAAFPB5MpbVR2iqtOUsxpWBsORO6o8z3aRnyM3w13lG65gtuutyI678qzWElRazqrHJKOqeedUCte3FVYH5YbPPc9ZuTqd2OZQzTFXtRR0izNkjIiIqmqwNBURUcXz91zkPKkzqx7cPVK7Vjt5VF1D+srpw5ZMV7N6Tv8JSj5YeTSkqVjbSqkGXY4tXaDd/erfVXu6+YuE9rZp4bwNzHbh5tIGntujWX5QAqFNHjmu+aIOMXmU5F0ChjutW1ZUNsLLI5dRyh7k4EgQutdzL+oam3GMun9bfV/LVllSQyX6fqOvBveL9q2qoqmXNTgvc6rHXJaMU+O6t/pS4/xaklO6caOSBQVkYSy3escGinumK7Nkj1NHLmll4dninj0GM/PIkJCISip4ds5L69nK4pjyAKXLcWQwc8YdHuOUW5pgXDkOkTBjnJYjYdGqLONa9OxahuRUY/qUUW58rlaAsNRHcHwkxjrtpQM3i4odoynh51FiLDtq6SuRX84Y0LlGcmzZKMf1U4IrGZQz72jTx0rIIxv5uzKmxvpKY51tzpB0d9eTCsgt55A7Nzf282ybJ3ltjdm8MV+jbJE2OAZ01iq5jXXlXq21jhIS2u75sechefOBcn1rBlYOAQAAAAAAAAAAAAAAAAAwC+ChBwAAAAAAAAAAAAAAAAAApgI89AAAAAAAAAAAAAAAAAAAwFQwsTE90voapYqomldazix2hYh9oeMQWLEWPM0zQz+vWbk1Vafu4G1Kh1roKFNQ65bXY05qyIljbGhPM3hMCqbjJ2JOEFFaY3Xv2M/DeGwRT++vt2GXZebt6UtzLTitYRjUq+NtJuKg6OMwNPgqJ85GU/ffOCe6b3pxYBiWBqGrLRjUtXY1gg3N68Y1xjUI5524N+zceefb1SqcBQw9e7MtdL/vODrwZpmObm1uHA+Rf1A7P6oxPWxckKDWe4No23p1z9GajbZFAU1kyya4sZAczPgeHrnnm/efaKyFEjFRcvRKdZwR6NY3acSIisUEs+MalI65kUnQPojjzbRZVpuNPLZECd31Yc9XUHvb030Ox1HQeebs59mHnHsP10TOvQ9xotdSrua52GeG7WFKRJSomgvOi4qUOeJrMjr+CmrsW9dUY14Und8bc7w2Gu5Dn5MS44/oWEfsbrdL9PijcUHcdNH4JlFKjO3EmDJo/4qMM5yytrZ56z+7na3Ylm6SaIyjEcdHNOe3wfugHudyUxS1lfy6UmsFad24rnSbZcwlw3HOcuOxZtw3ojHUvLlpdMyWNbZT95rwHNk6/ty2jca7im7LuPeEGXJ/eHoAAAAAAAAAAAAAAAAAAGAqGOqhx1ve8haqqore8IY39H87d+4cHT16lC699FLat28f3XbbbXTy5Mlh6wkAABMHbCAAYFaB/QMAzDKwgQCAWQY2EACwG8iWt/rMZz5Dv/3bv03Pe97zxO933HEHfeQjH6F77rmHlpaW6Pbbb6dbb72VPvnJT7bKv5qbo6qaUzJDStLKcScSEjDMHabhUmlIxTRcs4TEjyprfW1gOu3+01moZWp6q/U+DbkQo+4aITUUdKOs5oLPuXrMFdiVfnLK4pJWnvuc2EnXjx0jk6Pi7dcoSzSfkgRbWGB1YnXQ6fg54en4/hQ/BylFpYG88zNYBkv3YdmfbCkaS6qqITllyG/luIi3yoNftwvqumUybTvFqG1g361XXStm+xVxbcyQtyAa3o07KpHhubqXkFHJkSfKdL+X13CsWLMObdIZ9fNkqypP0YodR1T+r5GfJT0RPadFJFsKyITkyL50bJlAQQmZh4KM3P4xfLnREcqxtNmndJ+L2raS+2jGmUdU8q30/SAo8Sd+9yT+HFtUdTx5CEP2s6NkaKMyCjl9sIjEn1e/nbVZpRn9GLAabINKy5CNEldysIDdMGjM7S1Ju6CkcliSU5dVQkanhB0O7BOWLtX14W3YkLkZXKewDJG3bRQSRf19PMndEV9L1nXbaJet46qIdkjhauQ2cEvm2VvLiI4PM2yKd000yuXjFve88U22pFGWxHfO/MnBK5fX3bWjxj46XXRtKCrHHsWVi7fya6wZOgXwOvI2c9YFZfiC4BqQGjeLcBAl+kXULpW+x29ny1vY96xRxVNPPUWvfvWr6Xd/93fp4osv7v9++vRpeve7303/+T//Z/qBH/gBuv766+nuu++m//N//g899NBDA/NaWVmh5eVl8QEAgEkGNhAAMKuUtH9EsIEAgN0FxoAAgFkGNhAAsJvIeuhx9OhResUrXkE33XST+P3hhx+mtbU18fu1115LV111FT344IMD87rrrrtoaWmp/zl8+HBOlQAAYGzABgIAZpWS9o8INhAAsLvAGBAAMMvABgIAdhOt5a3e//730+c+9zn6zGc+09h24sQJWlhYoAMHDojfDx48SCdOnBiY35133knHjh3r/7+8vCyNnefS5bmMGS5prhRQphtc1CU0rdeSPGIf7U5luNEmx23c28Zll3gdSNfbcMFq1C8ovyXSNcpicmHrXOpLJuNuXFFJMNfVkcsiOS65iQZLP2k6i4v1Pp4bIK+fPldCSss4B0RUMZkDLu8Udb9sSH0ZrpM6vxyJh8Z1ZrjjNfKw3OIanuqb+VWpGrtiwthsYG+DqOpQctx6BdlyFBn7Rd27S8tgReVgNKVd4gvkYUkwFpe8UYhrzsuDu+FGZQ+iNiEq0eJRQorFIrffjlL2QEv+EG0jJTMaSts/IscGpkREiao5x3W+RD8oYR9yZIJG2YdzGWV7ht3ZnevIq5+Vv5YHsOxU0B42JFyYbKwrZepOZ4wxkh5/lZajsvJubBuhVFKudF9KU2EDt5sHu1JN7vVltGP2/c2RoON0bGkOMz+PHBsalPBoyFaVuL6ssqP9fIxSlu7YLjjuE3NJZeSqis1bWb+rqpgkUbYM1k7dT6P2yL3HGdsmZYxAO2ADc+WOOI59sPII216iFvNiLh9v5D2obDM7Pl6IXTtem1myVV5+jW0Z4z5zTqz+98ZHUflPsR8vS6+TWefUlTi11xNVJdR+7a9vcX7UWpEl1RiWhdX1se7rufdGPobQMs+R+tU7h+X9Wj30eOyxx+j1r389ffzjH6c9e/a02dVkcXGRFtnCMQAATCqwgQCAWWUU9o8INhAAsDvAGBAAMMvABgIAdiOtXhV9+OGH6etf/zp97/d+L83Pz9P8/Dw98MAD9Pa3v53m5+fp4MGDtLq6SqdOnRL7nTx5kg4dOlSy3gAAMHZgAwEAswrsHwBgloENBADMMrCBAIDdSCtPj5e97GX0hS98Qfz20z/903TttdfSL//yL9Phw4ep2+3SfffdR7fddhsRER0/fpweffRROnLkSLlaAwDADgAbCACYVWD/AACzDGwgAGCWgQ0EAOxGWj30uOiii+i5z32u+O3CCy+kSy+9tP/7a1/7Wjp27BhdcskltH//fnrd615HR44coRtvvLFVxVIvUaqSq/kf1bvjeeiYEbZ2pNKl7NZNVaUCGnIcLxbEPNPD5PE4NjMMlZuSoZOn623VT+cnYjKobfxYuA6bpy043x28D5HQzavYOeFxQBr5eVp7wWMUfYadA+ral4wuV5yvTt3ulTrfVj9uHEevbptqoW6ztKF195geY1A31W0zQ+PPi9uhz2NDN3dAXYlIXHaevqN5LY2YcdpA6swRVXNxzUpPp9HTmc3Rc9aY2sSZ2uw56fgxan1ISxNS61J7upJWnRr1yNDdjeptRstx6mfab61lurBQf+fnUV97zvnhtknsVal0ybBZDTsynH57w0Zb917db3P6oM7D2qb7oHXNDPy9CmuZlmCs9o/h6gW7Oxptru1hCvaDcLljTMf7ZtQueel4f8yN3RC1WaPUvo+2i6fnLOIf2TGOhFa9zp+N28iIo7aZzh5Xy0qN8IIvoVee02dybWpV0VTbwPMxjbLtkEX2/Y1fX8559saelT1PMOvkMaytiRK1Nbl18jTShxwrR+d3PDYREYl5q2f/xJyzJ+fIwjZyW6jnwXp9Y6dx+3dm3I7S8Ye28htzXKOx2sCqs+21G54XeHOVnjEvVOdQxrhoYROselj7q3RZsTW8mJLWmoyTR2Pc463rGWMdt808jLbNnhMa475GDA++Fuis/7kxPlg8YhnrWCYz56P6Z8vOO2tF4nxE16yj8+XGjtF5SIGxYsv7eutA5tvx1re+lTqdDt122220srJCN998M73jHe8oXQwAAEwksIEAgFkF9g8AMMvABgIAZhnYQADApFGlNOZHxNuwvLxMS0tL9NLOrTRfdX1Pj8ynVTn5iSd8+g2FHE+P4JsbJTw9wk+fo54ea3U93CeBwXJFHo6nB29374mje76tbeocCs+eoKeHzsN8c8Xz9OBPZnVZvcH9xPP08Dxswk/YLU8P3Wb8TQR9fozz3zhG6xwbnh7raY3+ZP1/0+nTp2n//v3mIewmGjYw6umhmQRPj2h+k+jpkfsW4tBvYWa+CePlYSXj9nDEnh7C7ilbJoYhzptKZt8PvhlZ5M2V0p4e3puw27Ce1uj+dO9U2T8iZgPplTRfdf3r2SPa5ha5ng7jZNhxoG5Lrw+XpvQYNjrmtMbiBTw9GvQG34c9Tw8P02YNe98hitu5cbJNf5xGG9iwf7ljtCHH+EXIvb+VrpOVXxsPjmi60u2+izw9GvNgMbZr7+mR/Sb3KO1XCU+PEvfW8/mtpzW6nz40nTbw/Dw4m+i4x5oXak8P7435qO2wKODp4eZn5B3No5Wnh7UeVNqL18FrM2vuOwpPj2R5euh0pqeHs57mevOw9USv/xht21h7Ku3pMew+5/dbT2t0f+8DIftX3NOjFFWnoqqq/MVta+JCJOSPhLqT7phiP6czrtmul2GpHe6SZT0cIHuA0rhou0Gppoo9ONEL5JygW5yokydxFLxR8TwabWlJP83LvE2j6rWtkB2wDZ0wemwhkIjkoFDXkW1LTz9db9hQ+6wZizHK+PaY4eTGt3EO0uDroiEJ5hg3C8uINgjKUbnXlXcTOX/MyZIlmQZ6G0RVR0j/tELIe7Dfc13ni0+GhxwgekQlg6IPRxoLgwXqHnVxbrv/drsJuUeWR1faVPGwl8npid+J5INgNRms1tlDzJWVeoOe4DLblvh9uOGCHZMCFPdK677byCTjfLeRgBm2D2omZVFyJwgvAgXb3GJS2nic/SBnMSa3ftHrKppfjk3s2It5lg3UE9wOT6cf6PL/+RjOWfSzXoTRZElteA+5aMiHiaOg0APiXUlVnf8EF4qi4x7NKO2cJ6Xl1aH0yyPRbRbRRVKivHYvMf4ISsCYczc1n+UyyjRvvAhIJO2hsn8Vf9C7slpv0GMxPl8WL1aqOkZffM15yBV9OSx8foP2KvvB4Fa68Ur8jZXUI6JeaD1gIDkSmt4LDtE+55ExxvfkqMz8gi9+hGWqWrxEy+sbziO4dpfzIDS8TqvHgHsW63+4DVTzZXcezOwZfwCSzp2TeVj9WPf94Honx33wJBIG+5yH179zJB23K6vFWKHwShMAAAAAAAAAAAAAAAAAAMDOgIceAAAAAAAAAAAAAAAAAACYCiZW3ir1EqUquTE93N8t6Z6g27yWT/LKiuqccTdNL0aIzDsoR8Vd1ZRkEHe0EuV6um7CXVW7xjquS4a2pyeD5cb0MGi0udhvsDTVZp0G59+QrVqsXdq4e1vat1dmdwHTvV9XeW8wKahF1p+ePCPL5u1kxQEhog5zNeY6qV7MB36uPEkw4S6oXLUbrswGnvtc2LWOl92ZWPM0HlpKG0TjFbhuwr2Yq2Rximg2F5ByiLpUltDEd3RjQ3UKuoO6es4inZI2WGQ2ce+e/tfe0oUiXW8Pc/ndUPcUZhM7T9fyVtVTT8t01dn6O5PBSuRI9zHCbteutEFU2mXE2vk5cjOgHLnycsPGGSkQq0JQOp1HiVhLJa6roDaxeczaVnJZvz21DUwXqnHgIhuraA3ws7WkS8XkXdJTahw4uEaUNlZluuLa3jlyZmOMMeHdJ6sOEXWmV9pli6gkqSfblxPHovS9zqtTm/2ieUT2KSHNV4IS4w9rDOjYPzHu0/bPmgcr+5e6THpmXtahc45JVZ2px3mJfSdS9o/N0xvxkrhsDpvfjtwW5kj65cb0GKd84BRQJM6GsS0an7S5Y1DiJ5q3G5swViUhXcT3ccqNzq08GbDkSednxKew6qDr4cmxN+IXbaEl69k9tbrwgv73DTUPTov2vZevDXaWa7vXeVquO6Yz9byYy0G7fbBE/KicNYbgeCIck3aosWJ8DAhPDwAAAAAAAAAAAAAAAAAATAV46AEAAAAAAAAAAAAAAAAAgKkADz0AAAAAAAAAAAAAAAAAADAVTKxoftWpqBqkZch0v6KxNIRWmNa2FPpiLL8Wep2mZrqnk8fibog4G0RmjA83nQiZoDTURDonfghvC6Yj7GrC63bqBbXhKKYzL873+ppdp4ppL8/xPqLKnWNt02UxLrTeH9cv3V9r961eLnX81i6sz0lvQeYxd7Yue8836nS6hSquIXiO6fitrpIJP1eqLarKiqVix1UR6Tp2bAi3LwidWFtz0tWk7jjanLyo8/lXqUdkh0GZTjK0R7N0wKO6z3qbp0cb1aIsoZtqpRO/67Yw0rXRm+TXTzRuRw6ZmtciRs+cE/+IxfTYuGRf//u5gxeIZGv76v1W98lj7J6p23fvN2tN/MUTymbxf7x7VDCdzDyjz+XqdYc1m4eM/zArbMU10ljt18Zmid14GbF7kIurn8tjzDnxW3geOXE3MrWTc3R7XcTxjjhGjRfHI7J7I65RPQ7sHbio/33tMmkDVy6ux5I9ZUa7T9fHvPiNc/3v83qMxGO9cdvWiEs3OGab7quuznmEaJwWT7de9+nG/dbKo0V8g3HGHhs3KRFR8mN15Ny3opreXlnb5TlsWbmxldrmN039x7DXTdvA/unweZuyfyzWZe9APQZcfYa0f+cuqceUG4vyWp4/x8aAJ+v9uieXZVnLT9X15TEr19ZEuhQVby8dpyYcM7Bw7I9IWdH0u5GqQ1R18mO2BMcz1nghWWtaA/YxY5eWtmW5+w05jmzG7bBtjCyWrzXZ+audYvXzxvVOvGBhY1g6EcuSiKqL6jU/MQ++XMY1OvsMthaobtfzK8Y8+KSM69axxsprqp/x2L9OHFZ7DByL/5p9b81Zpw/G5R4Ys6eFTYenBwAAAAAAAAAAAAAAAAAApgI89AAAAAAAAAAAAAAAAAAAwFQwsfJWqZcoVUm6YSq43BOXiyJSbj3c9UV72nAXmnkmd+S4y0Td7Bp1525ivH4qPyknxDY4dffqy4/LczWSLkS2e5KfnyHN1XCLY8ecmGwVPwebCQfn4UmHaUkrAyGfpvJLi3U9Ni6s3d3OHJKub2cv67Dv8jx2n6rre8HJuq8uPSKPsfs4q8eqLSsm3PH47+tK34m76nXYJe6de1e2avB1kS39AXaUhkuukMtw3Aijro6eFMOwrqxRqYSwi7Pjfu5K1DjbeoZUnCdzEyVHrsdrWy6tNy+HA+nC2n139eLaJff0s6X9evLqup9s7Je2qHOmPv6L/raWirm4K+u0t8eOa5XdD3RfPWvcX6J9Ouhpm00JCapZlLFqiSndE7QP0f7iSSS5bts50k8lbGBU7i9KrixIaVm2jGOxzmkja14/PQ5aqG3d+gFuAxdFsqcO13msXizbaeFUnce+x2obe/H/lcfU5f2Jj+mUdEmiwbK2Gve6MHdyxnS8nXLva6a0mwPsoW+H+HnOlPdzCra35crnRWWHStu16FixNLyf67FxTtkZNtmV+uPXlx4D7qnnu6uX1tJUp58t58HL31F/XzsgjdL8cn3M+x+pbegBNQZcfGywpFXqqWPk7enJejuyRCMlav+KllVRVPVrtxKXq3Ske7x1o4z1jCLypxl4Utby50z5LUNaNVquJixxVJrofYNdl5W2gWwtcOUZ9Zx4+Vky3ZNX19/X98vjnTtTl73v72rbeaArz88F62y9k9vAjadVddmclh+WtnnG/SG73+bKZ3KGHMsPe7+GpwcAAAAAAAAAAAAAAAAAAKYCPPQAAAAAAAAAAAAAAAAAAMBUMLHyVlWn2nTh8dyuuPu6dkuPyqhwKQPheqjkjpi7uetmx+uhXLpMF53KdjWSUlexY9SuS1XHaItG23LZElaukpxKa0yCSbuCGW5T+vcOkw3orawMrh+R7YIXlbmJoo6Dy76s76vd0Z6+XJazfF3dLy6+8rTYduof9vW/ry7VeXTPSNfg/adrl9/O2dp9rre6LOvE3HxTclzaDVfCRr+YGyxR0DiHTH5MyMF11bln0lzaxTTumjp4H+0euSVTk0auVzN5mBJUjrSB5+ptnRtPAmasEiu8GE8mz6qPV6eoDIO3rXGMbJsldeXl35D9GM6ds+FazO957OdKud73unV9Vw/U1/qZw7J+V3/v3/e/v/zgX4ltX3jqH/W/37//O+sqrCqJv9O1dEL3qbN13ZV0n3DrdftWfcxh+Y+wJFHQLdwjp6yePo9zRNSZblmDlIgoyY5KniRfnr2xbKDrBt5G+kVsM+ROoi7huTY1xzVd9HUtd+jc063j8q4/kXeeTI8rz2ghZFPVPY+Ncdb31Tbr6UMy3cL3frv//bZnf1Fs+9Lyof73z/9FrQMzz8Z6REQHnq7Hi52VeizVkC8NSkWEZf1E32K/a3vDEXbT6Rfetmg60MDq2005E7FTnS46jmoWHEsnK2XnkTv+ipBzj/X20+n49RGWdHOkmqJ9Pkc6xFn3IG8uOV/3k7WL6u9nDsu6Hrr+if73lx06Lrb97dlL+9/vP3BdXYVVOQ++dLkeA849fa7esGbbP95r3T6ccw/SmGsRmfbPLcs6PzNsF4PnzesHUZlAa22kkX90/O/U3ZMWN+cu4bmpkovnenDDjgdzCZ5Hd/0hmM4Mc0BE1dwC++6MAZm81epFdd2fepasxzOf/3j/+7+8/Cti29+fvbj//RNL1/a/z52T52f+zIX974tn6nlwde6cSJc2WBtuxM5plqRV7j04p59k3q+rTkVV6hGtG+kV8PQAAAAAAAAAAAAAAAAAAMBUgIceAAAAAAAAAAAAAAAAAACYCvDQAwAAAAAAAAAAAAAAAAAAU8HExvRIvUSpSo24ATyOhxvvgv3PYw1U83b8gxSMx+HGJwjrCbL66X143ARHo5hvE7E1lAawXXdbS9DTwuN6zV6ciLQ+OBYEEVHaiMUZMXXoGlqKxjE6eolC11Sf07m6vht72Hcpw0zz++u+9eIrvyq2nbqsTvznnX/S/37mxB6R7oITi/3vC6fq+nYuvECkS08zrXsWB6URW0NroNa1l+mM60fHgDF10tU1Is691p02NCyjsT5sDeIp1rQP6NlHEe2cq0UvM7T3Ezq2GbqhTlnNeDOFY3WUxtNztuI1hGN/xPRkPc1YF3YeN7r1caxdLK/tl1z25f73Y5dIG/jE/r/sf3/t2Yv63x957Nki3RqLeTT/Tab1fPasSCfsOe9nns59jiZtru5zibgg1vWj9ZxTb7x9eSeoKqKqcnV7c7S8o/GtorrCRFRG4z1Cbl+M2kcrD22XvLKGvR/oeBLBNgvHdLE07RvxlGo2FpkN3C/TveyZtYbzr17+BbHtkYsf7H//8ad+qv/96a9eLtLt+/t6XLjwrXpMV82pY+JxjfhYSo/vcvTAjXJapfM06MP3aOjYE1Hf/nlzP9cWGve7LH1vnZ93zUd+zy2rhF3zsPpeo9wC/XLYPHJjiHE7OR+rQ4+lW12S+d1w2d/2v7/5si+JbY+uP9X//tozB/rfH/+7wyLd/r+r58Fz32RzWj1HZPE25VpJcO0gSonYeqX7yCzGPko9IuoRpcxj9eaPVpFenIToNRcdD/Jyc+PSWLvwNbgW+4XqoPHyzoiDGI3NEo6714h3xeMWO0vh7JrrsXnw+j55HC+9vJ4Haxv4V6v1PPaJs/v73/U8+KKv1eO5BRb3uLGO2WNxkIMxK70YueGYrNF4Vx7W3CC47jFoTpaccbsGnh4AAAAAAAAAAAAAAAAAAJgK8NADAAAAAAAAAAAAAAAAAABTwcTKW1Vzc1RVc025KC7pxN3dHJkcV95DSIzYbkLCddJx+fEknaw6uW6ZIg9bwiOtW5JGumDm6qdd33j+Xt09qRxDxqjhgiakuboDfyciol59XNKlTZ8fQ9JKy5QJOQCGar9qpW6buZX6mObOyerxo/r6ykVi2zqrY9qw+2eaG7xNS4Dxc+xJSdmyVbbUAO8L+nqJSlB5cnP8fAm5NX1ttpXdmGZ5l/PSBi7B45cSd7a9iZ5rl85gqZhsJvEcCwmE3DwM6aICx+ud76pit/0eu3cpF9Fqrb6e58/V2+ZPy2v28ZUD/e9cyoCI6B82atu+0GFSklplkknH0DzLv3F/ibmxWveKhmssN51RGR4tvSMKjt0bJ7JPTyLnJf6iru6N3Xsxt21x7/Jc5z3X71FKTUyCHW2zf448UYare7g6DTkzI6FOt85s4Nm6DvNPy6nTo2cuqb8rG/h0qgu7aLGWJXhKqpxSb4FLzjg2kMu7cClTb87CaEiAZUmseRJWzvmG3WvHeftXGXOE0ZSZKWEyznpE0kWlOTwpvSie7NAopdpypXdMeT+VH7N/cytsDHhGlnOSzX2fUPbvHFun2TtfzzN7CyKZkI5J886aDRuziuNwhmVZ/da1YzukqTwLclaaLZlnL4m79hCb31rpku5XnhQxx5U45WtDzrpbzv2ygNyfKcXvyQhrjHbyzo83vg5LWsnMWX30OMqQe1qXx1it13l01upyO2dlfn979tL+90fWpA28gDXnvm49Bux15XFwCUHRf7T8liXzrNrFaif3HESll72+LzNXhfN2C86Jreulkd/2wNMDAAAAAAAAAAAAAAAAAABTQauHHv/hP/wHqqpKfK699tr+9nPnztHRo0fp0ksvpX379tFtt91GJ0+eLF5pAADYCWADAQCzDGwgAGBWgf0DAMwysIEAgN1Ia3mr7/qu76I//uM/rjNgbjd33HEHfeQjH6F77rmHlpaW6Pbbb6dbb72VPvnJT2ZXULuyCEkrjpb4Md167LKqufoZUG9VST8JtyvlAs+lmjwpLZ6d445HaY2lG1yOS8Pdx3BJC7qPeRJEjfNjyExVqs0Sd8v3JCMsGq5QgyWtKuUWJiSjeB/Rp+1srWPVPVV/3/Mt6ZN79tG9/e+fOvuPxbb5vfUxdk/U+3Wfkm3RWePuulxuTZ233uB0lXajnBssL9S8Jow+GHSxbOTHXdCC7ode/3HdUvtldbbzfC3OuG2gS8b10pC3MHdpIe0yCURdeXPcfxvXBOu3njxCVNrAlQuJSfTEZegGSxDSyopIV52t/9/zD6v97xd+ba9I99G/+q7+939YvUBs67H79f89cbD/feGMrBOXjmlIWopKGccYtVlt3LPb1oEoLpFVOXZ+XNIYQzA2GxiR+GOUsFnuvcvLI2pXLBfxIhJWI+wvbaQXhi07ty0MedUGwp2fy9MqmVM2Dlz41tn+94v+tivS/eUXnt3//m/Sq8xiv/JIbQMPPCm3dVb4YD8m3Su2Of3WldCYBCbItkUY+zw4OJ5uyjfG5n5OhrF0Ou0kyJiFx3aZfc+TOBrXfbvEtcznlWrdozpXj/sWv1WPB/c9Ksd5f/aF7+x/P7q2KLZdwCSt/urRK+o8TstqcOkYWYmgvF8UT27FGy9YcrSN/Ecn02iWtQNyWzs9BrRl4BsJ2deYbLtrb4NjNlfeXUjd2nMGU8Y8tw9bdWhsCtpyL3+jndz1B6ctousWAveeZEhE6VABzMbs/UZty/Y9JvVJHzh+Tf/7L6/LdUIu7fy5Rw/3v+95UvbrzmrwOjbW/5LSYqustcCoRJReY5gLXiOjXCsaMr/WDz3m5+fp0KFDjd9Pnz5N7373u+l973sf/cAP/AAREd1999103XXX0UMPPUQ33njjUBUFAIBJADYQADDLwAYCAGYV2D8AwCwDGwgA2G20fmTy5S9/ma688kr6x//4H9OrX/1qevTRR4mI6OGHH6a1tTW66aab+mmvvfZauuqqq+jBBx8081tZWaHl5WXxAQCASQU2EAAwy8AGAgBmFdg/AMAsAxsIANhttHroccMNN9B73vMe+uhHP0rvfOc76ZFHHqF/8S/+BT355JN04sQJWlhYoAMHDoh9Dh48SCdOnDDzvOuuu2hpaan/OXz4sJkWAAB2EthAAMAsAxsIAJhVYP8AALMMbCAAYDfSSt7q5S9/ef/78573PLrhhhvoWc96Fv3P//k/ae/evc6eNnfeeScdO3as///y8jIdPnyY0sYGparjxpMQMQR0bABDy6wB1zlbZ3rADW1Usrd5sQcC6dK60tFcqPXg0uoq2yLbIpzfPNMfDmpKeu3HdY8bMTN4nXgcj+RpFTr1iMYZkTuxvNXxinbicUWUPh07rs7T9TnY/8hZkaw3X/f7s9+WOn6pU/9/wck6/wufkJqBc0/WutFCo1Rr5nXs/i7T8T5ox1WRlY3FaQnHesnUII6ytV+VKlc6vzTjtIGbfTIJHUWieNta17pnv8J551Ja6zhHRzpHVzdXvz56jJ5ObLC+Zhwr757Ebbm+nldqu9f95tP97we+Im1+tV5rOP/F175TbNtgJnHxH+p67Pt7eUxzTzO752nXZiDtV6ZOs9jHi78SzSNYrhXfw/ttxIzVBlYdoqqTb7Ms/dcSut65iHMa1Ev26qRjwkTIiSGUHWcjqHGecz9w9H29flF12FiFxR2qemqsy8bfndO1Ddz/qBrrzdX6zo88frXYtsEk7pe+VX/fd0Ket7kzbNzujQN7GfeD0vEWxhmDw7NxOxALZLz2b8iYRlH7Z2cYLnvofqXP89BxgYL55Zbr3ZvDeRS+71jrI6pfVDzOJ5vrNuaV5+o4HvPfeqr/XY8BiWp7+KUnrhFbNhbZ3PcbbAz4uDym+adqW1sx+5c7whHjPi+mkdXuuf05en8vMRfq71flN1QGY7WB54nGEGiM8TNiuYXnDPq67wyO49Ecv/I8vdgasXu47OtGXTXReB/hWHV63uqM+0Q1WN35epUz5vfKDa/9GnHddHzo6sk6AGX3m/Va6tJXtQ2sx4B/8cQ/lUUxG7jn63V77vuarN/CMhsD8npou2yNAaP3jZxzT/FzEN4WJbcfD2CoiCAHDhygf/pP/yl95StfoUOHDtHq6iqdOnVKpDl58uRA3b8tFhcXaf/+/eIDAAC7AdhAAMAsAxsIAJhVYP8AALMMbCAAYDcw1EOPp556iv7f//t/dMUVV9D1119P3W6X7rvvvv7248eP06OPPkpHjhwZuqIAADBpwAYCAGYZ2EAAwKwC+wcAmGVgAwEAu4FW8la/+Iu/SD/8wz9Mz3rWs+jxxx+nN7/5zTQ3N0c//uM/TktLS/Ta176Wjh07Rpdccgnt37+fXve619GRI0foxhtvbF+z1COiHlXdRfmzkHuqqbrqUAz5A+7W3tgmJJfikgGW1FJak3Wtuky2SklQif3YMXp1EjJY3B1euySx/cLyW3ODfyeSklaNbZZLqYKfB0s+iYiI2PFzl9xGubydWNvyNmpWgrWFruvZWnKq+nadrrsu0x1g3/c9Hruc5s9Ieatqhbny8v6tXbqYS5sr78XSCQmvTEw3TUciJHyd6euA5xG4HtOY5V3GagMNaYOw27bhltq4xqIukKVdvzNdLLOwXG2j7ueaElIsQpYmQ+bGk+ghnkwfR11uZ652123YijO1nAu/Fi/4O5ls/uyF/e/7TnTFto2FiqWry108Ja/77j+wss7VNrBxffN7GTsHydFIDLuZR/t0tP94rsZRu7Wt9NV4ZQ2IxmwDexub7Tgn7+P6/mJhumN7NsWzc6VlgjyiEgOWzIprN4NSKsX66Ygo4fbO+4geZ/Bx9ela3qWrjukSJs934RNyztJbqOsxt1LXt3tqRaTrPMWkU5ktzh3DmePqUUi2ifxK3zfHL2HlMVb7d57ovM0lZ0w1TvvnSd+NEq9/RSWI9LboftYxaslCU5pr+DbiY6yqYf/YWsRybf8W/14mu3Tlov73fY/Le3WvW9d9brWu78K35frI3Ona/iUmqxWWdilBWEaspDRVi7Jy8yjMjthAV067wBxRZM3aXF+L3E41lEEHz81diax4pXhBatMIpSxz5+K8b/I2VH3WmrqFz2lQgslbMxPzTD3e4hKnp57sf7/wEVnO/NP7+t/3fU2uBa7vqY95ga3/LX5bzoPnv83mwU/V3xsy/ay+ou7R8AWedFjO/KdNv8jq+469Tb1WebZ66PH3f//39OM//uP0rW99iy677DJ68YtfTA899BBddtllRET01re+lTqdDt122220srJCN998M73jHe9oUwQAAEwssIEAgFkGNhAAMKvA/gEAZhnYQADAbqRK435VehuWl5dpaWmJXlrdQvNVlzoqKJJ4E54/XdJvwnBPD8fTIezpwZ4kNZ4YWm/YZnp6iH1yPD28/Dyvimi5Th7h/I03lxr5cQ+ejbKeHiIIu7oM+LbqgroPposuFOnWDta6k+sX5nl6dL9Rv0FDp5br7yvyTUDx9kvHebI6pKdHznk7v5FnYuZZ0tNjPa3R/b0P0OnTp6dGA1TbQPcNBc/TQyTMCJIYzc/br3QgNY+o18Ykenq4bxEWaE+DzgLzzFA2RdjA/fWbfGlpn0i3enltE1cu9jw96ro3PD2+UQeLq5br7+nsWZEuMe8T8btj53xPj/ZvyWSfj2HfoB8QLHU9rdH96d6psn9EzAbSKzdtYFfdx4PnKvwWtJ2B/H+cnh455QaDR4bvByU8PUS6EXsZeGWJTYM9Dqs5ZQP5+HGReXAcuEik6x1gNvCSPE+PuW8zG8iCZ/a0zVurbaeYvjkenNEgsEUY85vJ02gDW40Bp8XTo7RtKBEYPfeN/mE9AUrUPWr/uJqCKqfas8i+14F60345Bly/rLaHKxfneXrMf6u2eWIezFQXiOQakHgD2ukv4UDmUUp4euSUpTlf9kzYwHk5twjf34bF8/RQhFUYhp1rlJgT58zvc9cEcq6XEgoPPDtPHYWdN52u2ruHfWdrgWoevHKw/n/lYs/Tg82Dv+3Mg//hdF3WirSVia0NJi/geZBwgPJJ9PSgdvavbK8CAAAAAAAAAAAAAAAAAADYIVrJW42Tar5LVdWlanHRTsTfaNeaZzwvw1uAyH7652l/N986H/xEV3gSqP3EG2QqP1NfrZJP47h3h/Xm2vkMB+bdeGu/Mo6x8bSvfuLe0NYWb82xLNQb/ULHz3lKKI6Rv5GiT5vliaPPFT9G9naw9ggRbw7zp6zqrYsFVr/ugnoTgT2RrFYdzx7mwcFzT2of4dmz6ujei52ctuUeMewtCq9tXW+OaOwY5w0Ice6cJ8Jb+VepcsMh7GpSIqLUPIe8bYNeOW7sgpy3Rty3g0t7aQTfVvHeQvTeejbzztTcjeovhz1OojrDsXaXnlbMBjr3K3qq9kbTus+LZ2v7taDiGqW9zK7ymEQrKq4Rt4HM3mobKOvX/sIPx7PR5zQnjoebLsOzZ8K07cfC+bhGOmab6JtRb50cbzcvDzed82ZSztvS0bpHvTu830f5Fus4vWMYroc3G8OmpI53dfDYrzolk80xG7j3lJqz6HiDW3mcU/EJn+aa9uztZqVh73p38HTRt/csst9OzbhvDqNvP1liBaNBz1OdOJWcLC8QTq53ag7FPUcKjN9KjwGjZMeJiI23hf3jsTJ1P7PGX2rs1WVjtvlvqjisi8xjeIO1k57fPl3bPD7u0+stUXGSkcY5iI4HPXLixcyCrdNUHaKq0/DC5GtIYs3CUZlwKTAGdEIL2gQ9sty8c+/pkf1zPS7E3NxJN2S76zVcc33JK0csd2pbzjxyud3U82C2FrjwdbkWmPYwG7jO5sGrah7MVQ6YjW0oGfAxoRG/msheh8v2/A3HGSxgb3O81gPA0wMAAAAAAAAAAAAAAAAAAFMBHnoAAAAAAAAAAAAAAAAAAGAqmFh5q7S+RtrTnIioYhJC3P2n6ijfL+b+02NBXzxXKDfQDZdP0gGVjHRN6R5eP8clibvDe3JUVhWCQdgbAcqtw6+0W6HtZ2e6WjsyRn5+QakYQ9Kq2bZGfroOXDqNSxw03MxY/mdk0F3ujum65LJAbV46IWnF66H7bTCYkZD04v3RC1zPJbF0wKdgEHtrn0FlW2ylS1n+pLsEQ9pFuDY611Fxt15vH8udMddtNsel1iuLyzJ4rpI5bpklgpC7+WcED7Pk/si+52m5KH5Urv1idqnqyntj9RQrm7eT7qvcxjI3YR60t1HHnECGuee0tPyRKMuRENm2vNmQO9Ayp9y1XAY21Xs6wSRFhhlu/420hlxF6SCWbh0ypNei0ixtjsNyTS8hpZUhmdjoF1Yeyo4krtDA+9yZMyIdsTkGnZOBd0VZVqBTIiEZI+xcY2xqj9VMMu4bI5ci8853K+mXimjKzWBjbirmko4MhkXu+K24pNUYA0KPknEGs86Rao2i7R+/f57jNkn1izU2fjsj5yud+cHLTHpMKSSteD8O2r/GWkHU5g17X9QEAo+3ym/WST0apGFtrq/01FqTsSbVWBuy5tKePGkJonJZWXPT4Jgtms67b4RlujLGLE7+TTkqLrHvrHd6IQFEAcze8ADi6l5bsblqR82DxRod76t6Hsznu06ActHf+Vzfk5V31pLDUoDjXM8QCxDlxqLw9AAAAAAAAAAAAAAAAAAAwFSAhx4AAAAAAAAAAAAAAAAAAJgKJlbeiqoOUdWh6sILxM/pbC0hVHE3R8dVULgGa5klLndkufgQEZdJ4BI/jbTCXUe5zwXlqUQ9PLce7rrFJEGa5Qw+/mrecUdj7SKkR0jKezUkdQzXNS0JJtJ57n3MVVG4KXpSZPwYtZwVL9dzfXOkWET9mJQBd7ckIkorrH8yd7RK9VXT3a8n20W4tPE+p/cPSnXwPuPKt7H+JD3O7P7tuc+5MlhM2qVibtGWK2qVekRBj/5dx5YNVO7hoi8Rs0W6zdeMhsmVW8nJw0tXwmUx7MKek3em9ELUBXTU8iEG4tr0bG8ybOCqTslkCVblvVHbRLOstcFyBq6sFi8nKpNXou97/cKToTClEzIlRGZB2iolIkoN2ybGNNyVPKmxCg2WVmrcd0pfiyVcxC3bVqKu4joYgXRbZdiYho02rglX+qi9tEN47K3htohnrcdwfIysbU+HHTMf03VUW/CyPAmIDDkDa38XT3avhDSLd75NibXZlIRpjAGD9zc+Z3KVYMPyecF7X/Q8edJ3Frn3cFN+cIx9Kiwj49zbc9tJbBo8B2tIAbH5d+IWUN1nxXxczTuStnMWRp/2xoBhSWXvHpTTf5Inf5Qxfish9TetbI0B9ZoPnwdziT9H6zAsg+uNt6J9KToGtPbPJTpW5Om0pG7ULgfzD0taRcmReY6OAZ11FCGp1pAnZf/PqzViK38tJ2jZup7dzmHZKv57dM2wWVhsnxx7O8y4tMVcGJ4eAAAAAAAAAAAAAAAAAACYCvDQAwAAAAAAAAAAAAAAAAAAUwEeegAAAAAAAAAAAAAAAAAAYCqY2JgeVafa1M1dV7r0XNuU6xuuaI3mmMaXGQtD6weG9TEdHWGeJ9NUq1RZydqmNc+icRIELG9P4y5Xgs9oJ0/Tz4u5IuOnDG4/tyytccvK0rrMJlyTVMcw4f1T6e6KPsjK7Z09J5JVXbYf16bccLQkRQaqzaz+48Sp8fpZWhvczzwdfd2nw3QGx1lpxBnZoXgIYyX1iKjn62Gyvllp3cewTWBEdRqjGqAldJrdWB1DalGOQrc8Gt8kso/eFtUvzb3+OLzP8L7kxT/ScYg2BuvZuzrN0XhKjpbpSDVzPXQcD4sScTuqiogqciSMdz9VVX84hkB9Q/ue35/FsEBr32bEzHDjUxS4nqPlhjXJC+j2R9NZutKuBvTo9Mq9+19OrL2k+x+3t6u2nrPQhNZzGws95ozey4eNCdPQIS98fkTcl2RvA837JZ+T8G16ziDGOiXiRDjnJXrOcmweJ/ceXjrWQolrysw7czxjxhdVc8Tg2kEjxscWyvx5FsmaZ7vx2hwbN3R8gOg50GO50jGNovYvcg+e5vhunTmias49RtGX9P2cr8nxU6rXOcz5hL0+1yB4/UXh8zj3vm/F5wjb5AK2u0CsoTDBenjjenOO7MS78GyW6BeNtZjgMQfnyNbar8a07bnnIKd/58Y0DN/z2s2D4ekBAAAAAAAAAAAAAAAAAICpAA89AAAAAAAAAAAAAAAAAAAwFUysvFXa2KBUdZoSP2ur9Xfm/qJdKBNzE6oWFkS+AstTreHmabsQWW5nDVdRz72Yp7OkhhwXIldayHAnarqyxlyhXKkqq50cSQbpVui5Z8fcojqLi/3vPS01IPZznvkZclRCikrRkCvgbchk1LT7pZBYm3PqxN3sxPlWybhLJJcHc6S+ov3COwdCgkpvC0pIyLLq/BqSOlFJimnAc3325NDE+bZl7YQLqNzg5OdIrxWR0og9jzdtVq68TI7beq40Vw4Z0g7u9Rwti19++n7g+ZXyvhuUZfHyM2UZHJfkLNxz6skNBN113f5pyGvkyhpNA1EpIFcObPD9sxU5rtmZEiRhmbwce+sxiZIIVn659w1PNtbCS+fce8JyVKOkhIxAkXoEpYPAJikRUXJlHgX63r4xeNwXlkqJ3qeI7PPZSMe+e1IsOdKlJbBkhxoSi6XLddo9RzI1pwqe1LYng+XoYadhpbm2289i2PviKOzfsDJEjfy29ptimdPzMs+Nn4eVORtYzlbe7fchouLzDtNOe2NFS2pakzNHzpYWHFKG2ivbGw9H00Xn7ME+p20ev7ob6zRix/brvWFy5Kg8+W9PylnIzUUln4eROO9A3goAAAAAAAAAAAAAAAAAALMFHnoAAAAAAAAAAAAAAAAAAGAqmFh5K6o6RFWH0rlz8vcNwyUw09VNSAE5kkGchmunmYfKhLseW5IyOg/uUroupZq4jBORLQVkaXg1ZG6sNgzKInn7NfJm+4n8Gm5MbL+g6xuXmWpIuYhzxV0CVTomi9VZYG2btGSZI3tm+kja/UJIZOn+w8tNMYkV0Te1q6Rx7lz5G+d8h6W0RFmeFIQtyTRLNKS9Ki7rE3M3DUsbuBUJuj0OcEXeFt1fjPrm9s2xSnhY5NRPE3UvFVlrOTPWnqVlXjS9DBfiYP7iuigtoaMpLUvACcuEzJCclSKdW5E/dLjs5WC5v2Ymw9uluNxLhpv+dmUPu8+4ZEGG2c8iR4pA7B6UphnB8VoyfDmSua3qUFouxtxf1dWT17BsW9SORm3ltFBVRFVVXsqlUU7GNa/HH6b8iHPtRaUiS8g4RaXVRFuMuN05JaQxrX3cYgfPuYqRM57zyBnLF2m/HIksbcejfR8ygH221gLXpMQplwIX82BvjSI6l2xTN1nAwG3eHKzEeEaYqRLzLNH/3IoE8zPW+xrJRjf2bEj3GetVDYn9KK4cVdAGirl5tFhnbSe6FmhXSBWWIX1bei4wyKa2KAOeHgAAAAAAAAAAAAAAAAAAmArw0AMAAAAAAAAAAAAAAAAAAFMBHnoAAAAAAAAAAAAAAAAAAGAqmNiYHtXcHFXV3AAt51orrJpn1W/otTH9P64FGNX21bD8K6V7aWpR6ryZXp2pR6jhWnPz8hlVb6VuG67X5mq4O/pvluabF/vDjVviaHT6cTz4piqUzqyvrh8/5mB8AE/WVcTtcLQKXVidxHFUtu5eVIc1qlvpnlOZYb3P2qrcNG+bE1PLuqGJKePW1PurasxvxVmZgee26jrKjMjRJ6wl7umVattm6XhHtZhVfsmJeSTSBeMQFdeHLk1YZzga08TW7xTnn9s5L10uxnE14tTkxJwZ5Xl09aEztZijmudt4rs09E2nk8YYKaiRa+HbQEdX2D03wTgRQU1y6z6crccrtmX001GTobvuamUXxss7Jz6HZ2+jOs2izUZ9X7P6zKT0n2nGi3cQvG7ca8PqU6OMBaMpoWfv7hgcz1gxu0YdT8Zr95x4a15+RrwBr4/kbtsxhh3zF4kFl9lH2sY4moVxoJ4jWnEsHLz7tBnzoM0Y0LjmGjYqZ15cug+7xxHMw8vPiD8Zvg95+ReIj5kV44LRHL+1r3u0LbyxopsHX6+L9unMNZsw4fGFFSNx0Hy5E14Ya30Vfe1rX6Of+ImfoEsvvZT27t1L3/3d302f/exnWT0TvelNb6IrrriC9u7dSzfddBN9+ctfblsMAABMJLCBAIBZBfYPADDLwAYCAGYZ2EAAwG6j1UOPb3/72/SiF72Iut0u/dEf/RF96Utfot/8zd+kiy++uJ/m13/91+ntb387vetd76JPfepTdOGFF9LNN99M586dK155AAAYJ7CBAIBZBfYPADDLwAYCAGYZ2EAAwG6kSinuF/fv/t2/o09+8pP0Z3/2ZwO3p5ToyiuvpH/7b/8t/eIv/iIREZ0+fZoOHjxI73nPe+jHfuzHti1jeXmZlpaW6KXVLTRfdZmMzfkKc1koLmHlyRhxtHub5/Jj4MlC5biC8WMi2mzHgfXz8GSlou7Phgu1Pgdin3UpRyTSRl3znLqbslU6P8Ntsaq0K3RQgiJSByLR7xKXUSPlPmfJO23+MDhdV8lF8bZxzqklVdU4v0YenryVyFv1CyF31ZF5WO54XltE3ADX0xrd3/sAnT59mvbv32/WuxQ7YQMbGNdScamPNm69pnRPnsxUuL/wrK3rw6tfLiXawtpnh+S3ohItuf3MlVY0bLspX7aZycB9XMLutIrKuPd410hDosKSh8nsF6m3af/SvVNl/4gG2MAMW6G3Rcl2v88hKu0pqpAhU1MinUcJe5sjX+BIguXYrNLpGnWM2g6PHCmiHEZ8D3XHpi2YRhvYxv55ZMlGToo82ahlNobFkwiMEpQ6DO9f2taYxY5AVrC0lA8/P5b8ri5LSPgGx4OjwOpbRp3W0xrdTx+aThvYuXXTBgbv9R5heXdnvca9V+XcjzPHtrGsW9Q9gifxFx0vDDHfieRnrcdG5Umjc1ONWAstfE6z59y8T3v1G/YemptfofFrmzFgqzvLH/zBH9ALXvACetWrXkWXX345Pf/5z6ff/d3f7W9/5JFH6MSJE3TTTTf1f1taWqIbbriBHnzwwYF5rqys0PLysvgAAMAkAhsIAJhVRmH/iGADAQC7A4wBAQCzDGwgAGA30uqhx1e/+lV65zvfSddccw197GMfo5//+Z+nX/iFX6D3vve9RER04sQJIiI6ePCg2O/gwYP9bZq77rqLlpaW+p/Dhw/nHAcAAIwc2EAAwKwyCvtHBBsIANgdYAwIAJhlYAMBALuR+e2T1PR6PXrBC15Av/Zrv0ZERM9//vPpi1/8Ir3rXe+i17zmNVkVuPPOO+nYsWP9/5eXl6Wx09I9yZA9IeW2ZUn0BCPdN+DyP0p2SMsa1dk50j1sW29VSkR1FmpJm8RD0uu24PJeHVuSqOrE3IYsaSrPJc6VvmJt3VlwJLxEhspVrZPh8srqm3Q/CLrIcVcw7xjJk63i2fN66HSWHJXuV0KCimeu3fusSthugMlVkWHXmSNJUHUXzG1RLLdS001zzK7tY7WBKRFRCrtSN85HhvuvzGAEMktD5llEosFye99uv5yyuIyh52rspQtKrJgyeUEJOU1UViwqixWXmwnaDn4cPS3dZ9TJc8P1JBA4vCxdjrefc48OMQGyI6Owf0SBcaBGuK07LuclZDc4o5QTKk1Yyi2Yro2kx7D3juj+etxm2Jio7FluunAdS8iPWfuVkCkbdh+NY29FG+bK9KTky9CMgEmYB0f71ND2bxSyFTmSTuOU/wzLIgXtYWHJG0G0bYP5Rceenp1s7BM9dyUkrUR+VSydNZ4bhYRVtO+b41c93hyv7dtivPPgHhH1mrbNWjfJtXlC2oyvf6l0Of0002aZxxK8H3hj4zy75Mwl3f2C89sS+VlrT16bifzahwDYtk455zGy/zb5met6bWSZxX7B+cCwUq2t03WIgk3U6kq84oor6DnPeY747brrrqNHH32UiIgOHTpEREQnT54UaU6ePNnfpllcXKT9+/eLDwAATCKwgQCAWWUU9o8INhAAsDvAGBAAMMvABgIAdiOtHnq86EUvouPHj4vf/uZv/oae9axnERHR1VdfTYcOHaL77ruvv315eZk+9alP0ZEjRwpUFwAAdg7YQADArAL7BwCYZWADAQCzDGwgAGA30kre6o477qB//s//Of3ar/0a/et//a/p05/+NP3O7/wO/c7v/A4REVVVRW94wxvoV3/1V+maa66hq6++mt74xjfSlVdeSbfccsso6g8AAGMDNhAAMKvA/gEAZhnYQADALAMbCADYjbR66PF93/d99MEPfpDuvPNO+o//8T/S1VdfTW9729vo1a9+dT/NL/3SL9GZM2foZ3/2Z+nUqVP04he/mD760Y/Snj172tXsvJ59Q8usV8c5EHEStJbZ6mqdbmHBTGfF2bDidBARVZWj+2voqm9uYjEZqrrpc1UZozEURBty/UqlMc7rV0ILW8Z/sHXieIyU3tqKmYevy8naPRrrRcSq0E5PLI4HP7+6XazYMUQytgjfT8vPs+Pn/a6pCzj4GHWGVn+kJGPHEIuPI87VukqXo8/XuM54XBQnRoyhDavbYqu+VeoR2ZdqccZqA6tqKB31qL65SVQv2KtHMA9PAzMaMyIMt3vRWBDNgtk+sXZp1NXSAHXiGkWP12uzaFwjHhvIjREisrb1nL14QF49rPzkPkGtWeceIq4RL6yI0IrW59Q+jya5utw7EFNirPZvlJTQmY+ej8b1zPuZN24L9h8vxoxFNF3UVmbGHJC7FLbzwbw9isSEicaniOw/CqK68NGYRx6O7rWoUi/YTlVFRFX+JCqDibCBOX2nRN8rETcmJz5HibgYObr1Bfp56PdtszPG7wXim2TNDRTufuE4FjsUL8u6F3pjuxJ410HrvjqDNpBhxUdspOP9tNHG7P5WYuyem4eVX05sHJW3OQeLjlHb2JsM2+SP06z5oxPPOBq3NhiDNjqObORnrQuXbvdcOxKcu1DpMEe5x8VJvVb3iyqZEaV3huXlZVpaWqKX0itpvur6Abq9hx58kYY/9HA6Y/ihhxcc233owRaZ59lCvxfInD8scAxsOHC0+9Cj/eCn0RYZiIce5zIfekSD+AYfeoh29x56eEbQeuihiD/0yFjw5O2iHmaItnXSWRNVN5id7vvz3YHbogsdVrr1tEZ/sv6/6fTp01OjAdq3gdUtmzZQM+RgYiQPPaKT61E+9MiZDOc+9LDyy8R76GEFf80NUO5Uwtw08Q89onl4Dz2i9RP5jfihxzYT4/W0Rvene6fK/hENsIHRQMdRdsFDj/Bx5Tz0iJJrKyfgoUfOg47ige83M62/79TCnscoH3qUON/blDWNNnDbMaBFbkD43PyHLat0wHNv/7EupA8/JpTZDf9gYifydpmUhx4Wo3jo0WJs14aZsIGZ4y0T74HAqF8M9PKw8ssZ8+7kQw+D3Lm+2McIYt/IL2dO51DioYd3Hou3+7B2tPB9bCS0nAfvgiMCAAAAAAAAAAAAAAAAAADYnlbyVmPlvLRLWKZDPzFbMDwQtAQMe5rW6S7WvytPD9ejwXiK13iiGXzSKJxveH7z8nSl9fWB6dync+xtLc9jxX2j3/O+sJ5o6rJYnt5TW8sLQsPTCXT/Mbw7RFvq+npP/b1zyvIQMlv6/ITfKo69Nc2lAaqoI06w/0TdQ73rxT2nxpNpLfWRK1cxq7hvDQz71rTez3u7wPKK87yGvOtv2DcZHU9Cl4w3KLw3XFy5Om5HOsFzVeINyqD8Vth7IkMCwZP4c+uQ8TZo1jXSSn1ucGJXxmg3vGkzDqJeBiWkwjyJAk/C0UJ7IVvnu4Qci1sPLouSIeOnbWXQzmd5AztSeyW8DATOmF0my3wLetg+OIQnWKx+hlyf7iMF7nlqYyzvEp5/s8qwslC591VhJ5035qNjRQ+rviX6hucF5dnQEmNqq9gxzn12zAtkErw+cj07Mq4fd5wLG7dJ1DMjOI/RckfhN+ujb+rnXC8lvMOd38NrkFbdW3hnWefHaxdXEcVSMHHWDkqM7az1Tq9cz/skvL4mN5h1CnuLZ4wVw2ozbWxUUDlGUNCbHTNqAAAAAAAAAAAAAAAAAABMBXjoAQAAAAAAAAAAAAAAAACAqWBi5a2quTmqqrmmG44XVJpjuao5bji9s2dF+SYNuYLBgXiaQV0HuzhVXVuCSeShJZgYVqBoIkeOSrcFT8fzcGSMmtJX/B8eBNNzXWLbGnJUgwOKV9rFyUinyxWSVjxYuZbVYvknai/LQkRuUHKRLhh4yQo8TlWG/I/Ov4TUAN+mjle0Zxp8vJsYfVXX/Xyw9aR9VGcZ1700Q0KnjaxETh5OfnEZI9738+RmipMhbRCWgHGlCwfbmKqyb/NCSpFsCUK5kyNnFXWHDUq7eIHR/f5plRuUbAnKKbWRmsgOjlgXFi5rakiJiFKz/UvYLGu/XGmSHFfyccp4DBuINXNcEA5UGW1rZ5whcMeVbFtQyjRLYosKSQJE9ht5/wneyzIkrVw7P8tY9s9MX0Der3iQ8wkPPJ4rYZUh6eoG3S0hWzXkGEHIp46bYWULc+7vjTwyJCC9egTPR4kgy1NPdP2ihERzZrrwecyQGHbJmTM42+Q6Zp7coWnbMiW3wmTJN8fWycYqq+7YLKvvu/PvYF8wg6kT5dnHHDkvTcdYF+zn3yFvmVZkFUsGAAAAAAAAAAAAAAAAAAAw2eChBwAAAAAAAAAAAAAAAAAApgI89AAAAAAAAAAAAAAAAAAAwFQwsTE9+mj9LhFqwtPfdTTAeDqhNefExeg4+rMy4cB9iIioUze30InTWuqF2Yp/cL5S7Kujc+zFjHA0Sq14Gro9O3sWB9d1TcYtSbwaPC7EhnNOedwO/Vivw3Xy7POYrG06bsJ8fU57q2tymxHfRfcLV0OPFy10/BwtWFPTUNVvzo7NYubHzz2LI0Mk+1lDu9bIulEu19JnOn7VaC+RySaqday1KEtriXuakPy8ca3HqM6uqzHNtdl1RxhSg1hf55WtPRomR/s82E7Ctqm6izhH3M71HFtpxNrJJazR2ahI4fcvLA3Qwrrhnr0Ox2nxGGfMh0mkqs5/8mygua2FNnGY3XR+cmJ4ZepNh+OZObrKJnqczsZj1OWxOpQmctTcBGMNubH8LErHVShh23JiRzjjjsa5z9Ht303XVWm27F9pvNhouVrdObGQSpznYfuHHlPqeF5btDneDLvhEdXHN+NZenN9WSFd8OBynfq5lIh1lXO+rfkEkRrzjzGuSpExR5J/p5GtuEZ6rpfRzm5sS2OfUePFcQ2Pc3Pj0BmI9clobFC9NmaOicrG8GisNRl1bxA8x/Y6nh0/w7OV4bFiTmwgHfe5sV6yfVlumNyMeXU4zmduPJuWwNMDAAAAAAAAAAAAAAAAAABTAR56AAAAAAAAAAAAAAAAAABgKphYeavUS5S0rJLCdRMyXJd8N8ygWxRp6avB8kSu+1NQfksVJP8XLkl23dP6YLd57arGJYS847DqQESyaVg9qo7saqYsiOOGK6Su5pRLveHeWSl31bS6Wm+b53JjWorMOGbtyr8Rc//1+mol2smWURNyUk6fEW3ryFFFXSel+6WzP99P90EmW1Z163avtKsjl4Djx69dJ8/nX6UekfLomzpKuP2XcBV084vKURn5eXh5WG7wuXJZUYmREblebpe3K0HVMfazfidypa9y7qGeq3ERonIY1jbPZon+40gGBvtF49hN2cFgnTxZhmknais82RZOjozPrGD10zbySY6kS4io7c2UkBtW1i/ssr+5sd7PkxTNuafk3K9y+7QhPeqORVvIYchtxj16Fq/H7YhKAXkSVkKS1JO6dSQ5xX6Z9jq0T/A+GE6n77/BdNFtDpYkiiuDxc+3N+d0pFDN/YLjNXe9JVd6Z5SSdl7fz5F24xSWTN3MIzhu6f9fkakhvdsZlcSfW2amDBbfz5J8VvuJNZXcvpQjV+rVT1TBXofxJKqzpY4DeOunUVlhU44qbOftcjz7mDUmKtDPzP1zCdpy917h2mVn7ivotbK58PQAAAAAAAAAAAAAAAAAAMBUgIceAAAAAAAAAAAAAAAAAACYCiZW3moLz43cdE/aZpuZP3eLUm6enquWJS3luaiKfbpK+olLAQVlsFyXrqisRqrr50paeXnzPD23OF5fns47VwVcHIWkFXOZ0nJZvdU1to3LOyn3X3ZcncXFUB6V533H2pNLXemyvL5q5efV3XeRH9zu7jXBZMSIpLSW6N/R67YhK7Z5LDnSFLuGqjP42o26QI4Sr6yoHIXnHpnj5hnZn8iXaDD3ib8f4Mou5uQZtMWmxKEjYSWuH09uhUu0OPVJ62vyh2ElWyaFqK3k5Mo8hCVJOkTUmV5ZAw+rXTzZvXESlXrJ6RMl8PKLyhgF6xuVGwjnzdE2a84Yq6hxghhLRmUYhERBi4suKvWVcy+K2qKglIVfrnHfdKUkW/QZqyzgE+43wTaNXvNhWaigzFRU2qW0PJFXj1FLxplZByWltVQKH3t6cyM+Fwxek8nbp7RsVYm2FXUKzgdymMTx6jSSKzllbXPyC0vnu/3eGZcG+4y5npgjYUVExLu6IxttHr+WPjfWNAelHbRPI39n3CjXhhwZ+OBw01pbLTFnbx5jdNzTfj2Dr2k2dzP6TO46SsZ8pXkeg3aZU1DiFJ4eAAAAAAAAAAAAAAAAAACYCvDQAwAAAAAAAAAAAAAAAAAAUwEeegAAAAAAAAAAAAAAAAAAYCqY+JgepPWAe+sDk2k9OaEjJrTHnPgHXmwEB0uzuPE703mrKhabRMc/MPJraM0xvT5P183KOzVCPKSB6Tz9Nx0Lg+fJ9d0bxxTVRBaagVwnTj2v4/kZus4eDc3n4DkVx7sh28nSZfVia7gxYYw4Ho38nPrKYg3NfmcfsU0fn9B87cptpj6v1rqs+4zU/lPX9/myq1TtmGz7yEk9Iuq10MEeoyZ8LjkxOErokbetj6aFNrkZW2O7PC2M67RxbxT7OHE8NmLlWnbF1ZvO1K518xg2Py/vnPyi+0S1hTVRLerUm5zretyY+vGlY18E9eg1OXZqnPrxOdr8ba5LI607Ts/Ir7EbP1+8LDWWShTTx47GBoxqURchy6ZmxOhz7ZcTs8aNDzeC63Oa47qVpETsi2ifEHr2wbJy8vbyH8UxRtNljHM93XdzPq7zi2rHG3UqbqtU/sX34f1CxyjYzWMjKx7Ebj6mXFIiokR+XBYjzhVRM67FVjK1TpTW67XFZMQxbUU0zo342Yl3EcxbxNmgjHhqulwnjoMX58eKC5IdI0Vmzv5x1m2Dscei47zocei1VYFzPZvrf9Hxb27bRtfnonl7sYS9azVSJ03L2Jbw9AAAAAAAAAAAAAAAAAAAwFSAhx4AAAAAAAAAAAAAAAAAAJgKJlbequpUVFWVKzkl3ZCCMiLKZcZyKdUuTpar1oAd7bLW2H7c5U67ZXJXVktyikhJPzn+VNzVaI1Jaalyqy7rDp5rFXfjWvekr4Kudbyd9GFYUl/apZ23BXNTzHbPCrpWiTbzzgGXNlOuk8IVjrdfR/UfIddg9x/Rdx03M9GnuUyX5yJHtnSPdBF0+kWHuwE6rm9GXXlZjX4wjZRwt8+hzTVhXWe5ckJRKQbrGh5xm7n3A37NBeUCotIpAn3tCOnC9sfl2gfPrVdk0kLqJJKu0X8sCY1gP4vWr4gMliONtBuk6CaZqH3g7Zwjk+faHuf8lpDdyLFn0X2ibZFj8xtZ2GNJy5a49lBmIP83xlLb7mfUJzzud/LIkg4owSjvhzn3ZG9bVApw4DVXhaUNdi1Rmb1cOb4SjLKsUd47c+eI0XIL3M+FZKprk9pLkmZJWmXKDxZH3HODdRrn+Co6Btwped/dQGeOqJrzz6+3ntYZLA3XnLdlnJvgfCIqeSnWroiaxxIoN+d6DstqtWDYenhrQ5Y9HLhfn5gMll4TDo9FPRsormGvGsE2Y/m5EmbR+W2OrSwguxddR3F/bynzDE8PAAAAAAAAAAAAAAAAAABMBa0eejz72c+mqqoan6NHjxIR0blz5+jo0aN06aWX0r59++i2226jkydPjqTiAAAwbmADAQCzDGwgAGBWgf0DAMwysIEAgN1IK3mrz3zmM7TBXIe++MUv0g/+4A/Sq171KiIiuuOOO+gjH/kI3XPPPbS0tES333473XrrrfTJT36ybK3PkyUdolxjTAkmLU3F3c46MVmfRv0MF7yGe9ZaXZYpObW5Y/1VePDZLvrUXay/azcw9r88JuWP5blx8bRRqQFPgqniMhGOXxg/Zk9Wy+oz2j3KykPtL86V50LM0nmuWJ7bHu+ryctD1NGWo5KZ2+dbuPs57qHedZbW1wbXI+iSbEpGjFkKZtJsoEtpKSC3rAwJD9clfoQSMFE8qcKoxFOGBEzYnVbjyetZOPUTxxh1c42e71zZHMvdOxfrXPVUWxou8m5+pWWNSkhuFWCsNjAlIkpxWYeG3CFvv4zrypNPdGW1HNkNc58SkmpR21NYBqawvEkR2ZawNK4oWP0bPK5hZfxKUKL/lJYOKi37o6+5lPxrdATsiP3LJSoDKPbZIfmfsJRgZv2sa28Uskg7JGmXJUkaz9zeVrrPeP0iR/q2NNE6eGPAElKCO8R4bWCPBl7zJSQ6h6QhW7UxeL3FlZ8P9iVLjrwEriTnqG1WtJ34PkHZUS+d3BY7xhy5080dM+690Xlw7vwiUgcvjwLzGrfdo1KoVYeIOuFhUquHHpdddpn4/y1veQt9x3d8B73kJS+h06dP07vf/W563/veRz/wAz9ARER33303XXfddfTQQw/RjTfe2KYoAACYOGADAQCzDGwgAGBWgf0DAMwysIEAgN1I9iO81dVV+r3f+z36mZ/5Gaqqih5++GFaW1ujm266qZ/m2muvpauuuooefPBBM5+VlRVaXl4WHwAAmHRgAwEAswxsIABgVoH9AwDMMrCBAIDdQvZDj3vvvZdOnTpFP/VTP0VERCdOnKCFhQU6cOCASHfw4EE6ceKEmc9dd91FS0tL/c/hw4dzqwQAAGMDNhAAMMvABgIAZhXYPwDALAMbCADYLbSSt+K8+93vppe//OV05ZVXDlWBO++8k44dO9b/f3l5mQ4fPkyplyhVyY1rIPA0143YF40svHgK83VTubEMnN8TsTgeUR07vq2Etp6jQ2dp1DXibMyzeuhjt47FOT+8nRrnl+/nyf3x/aLa9vwcrK7Kbbx+TgwKNz6FhY4rY+lLBzW0vVgdPJaGpwPJY8eI+CON+rE20/FNjFgiur7e79Z10Ywr0938k4hojXaEUdtAk7B+uNGvcuMV5BDV9M7Vix9Wz9LTc87VNR3STufqL1sxdRr2O3i/knUK9rnc/iO0jjN0yDU5utzifBfQUfauM69OJTTFx8TIbWBVbX60br91fqLnLRr/oE0/KB3XIUeDd5yxJaLxZnLsYbBO4Zgbjf0ybGyJ669EnI0SMbgsdsrGhK9Hna6wuHlLdsz+WZTW/x9FHCmR5xjjGhgxNRvHZF5fwXsQUdy+ZsT+SM6aQJHYHTLDsvm5ZQXHfZMQ4yInxhtR+XhtW2025rhGnNHbwA5R1WmupwXXmorMJwwadbDmXd75DcYpDF/bLO9GzJGcOI0eOXPzqM3KjEEh1pAy1jtz03l1GnVcFLMcEffG282IFxNdg2zEAfZiIRboW0OQ9dDj7/7u7+iP//iP6QMf+ED/t0OHDtHq6iqdOnVKPOE9efIkHTp0yMxrcXGRFhcXze0AADBpwAYCAGYZ2EAAwKwC+wcAmGVgAwEAu4msRyl33303XX755fSKV7yi/9v1119P3W6X7rvvvv5vx48fp0cffZSOHDkyfE0BAGBCgA0EAMwysIEAgFkF9g8AMMvABgIAdhOtPT16vR7dfffd9JrXvIbmmeTT0tISvfa1r6Vjx47RJZdcQvv376fXve51dOTIEbrxxhvb1yz1iKg3wH3dcGnraQkmJtfDJH48N7Nqvjt4H7VfK1cenoUl3eNIOnmSQaZMiXZpY8cipKka7kOGnFDVJQstCxV1LcuRKXOlpHJc0Pg5WFgwt4mydL0997n1WibKk0ezXA49KTaxvydf47iICZc2Le8lGHxOfTkcJQHH5LPIka0yrwvLBX0H5BjGZgPPu/WG3e/D+arzNqxEFJFyoyzg9p+D58ZsuPxmq2NkyLe4941h5WBI28rwTqH8BG2kbLL6VkZ+0TplywhY/ceR8dOXgZVHpkTPTjK+cWAiojTgeo5KYRj2ZhT3jZy+6f2eYytLyydFZQdLyBh695Cc8zisPNikkNtXh73XtpHzscpt5GnZQF1W8HxXFRFVRGNWdxmb/YuQZSeccytsa361zLKiklYW2WMMdjDR8aq1/3YMa+Nz7f0oZVxzZRlzzk8Oo5Bis8iVjsy513j59dtsim3g1lqgnqvlyDwPKzuXSwG5I7FeE5wzNO6rOXalxJgoo6/7cmaOpLshe+bKwHuS+CXGkaMcY7o2m9/X7Tq4Umwi4eD+0+iPBcbl1vrisPPl1g89/viP/5geffRR+pmf+ZnGtre+9a3U6XTotttuo5WVFbr55pvpHe94x1AVBACASQI2EAAwy8AGAgBmFdg/AMAsAxsIANhtVCntYASkASwvL9PS0hK9tLqF5qtu/KmY5+kRDCg0+Z4eukqxANjS08Px2rDewPeCqql22jFPj2HfatP1sZ78ep4euu5BTw+5kx2ESiaL9YtwOudJt3VOS3h6ePtFgsSvpzX6k/X/TadPn6b9+/eb+e4m+jawc+umDZyUAMaj9PTIfTMiIwB2+E39wm9ujNrTQ5TlHKN33XJyAucV8fTIya9E/wkS7j9OWdH75Hb1W09rdH+6d6rsHxGzgfTK8+PAwp4e46T0NVGC6DWRGUwyq9wcT4/csjgjtBU7ym729DD2GcQ02sDGPNg7F6P09NBBdsfZjyxKvNE/wuDGrSht40t7eljbRuHpMSw7Va5Xj9w3nlu2+0zYQM2wY4JR9I8S597cJbauU2Q+Jgtuv8929QgVG1MBcb00eH6T6OlRuI+4dfLyHnYM3KafDe3p0ez762mN7u99IGT/JtCXGwAAAAAAAAAAAAAAAAAAoD2t5a3GjXhDnMh+S7wz/KGIJ4naIyLnjdDMeAXm2/Sex4Xw0pD5CQ8WJ56C9SRZ5yf20fFDcmJr8HoovTahTe/F1uDwPKJvNevYJI5HjIk+P52ghwTbL62x/h30PvE8hTys/h71+gj3WyJZd6cfdxZYWzBPGc1WHVN2UIZdwHkt06YmMiP6lnMj38A+Oh1/E1e/ARh98zD6xkPW2xDt+332GxnRbVa5Dp5HiPe2j+W5leuZaOYd1V/3M5T/j1LzNPoGuQf3vnT6T7idgmVNhKfCTlJVm5+oQ3Jp/fhGfYLXvfA8LnBNtNlvYB3IvldEta1Lv7GtKeFJEC0qQx/brUP0LT/vDfNh39j33srPsj3RuCq6X0SLsseLWfOIaSQS04iC16g3VrL6ZYk3+kvbiSIeETvo3cEZ1xu20Vgd0W2ujfPuJxlzmegxTsr4KHgvyHpzfxapOpufxnhGpdmiMec0bKUzdhe7t/ECMM5VY53M8lrwYsQOOW/bzGOwYo0b+yP3rf0h5ztuWwTn0lHCqiretR2cG8h5uq5I0ANvWArEmAnj5O31wVbnuIWNhKcHAAAAAAAAAAAAAAAAAACmAjz0AAAAAAAAAAAAAAAAAADAVDC58lZbLm3KxSUq9REuxnAtawQy5/so6SNLkseVH+HBxZVrVdjNzpCbaQSuZdlHg9iGZYwabmFBCS9ex3Xm8hmVFfNcn3i5ul+w46+4O+3CgkzH9+PnzZPBUnU1j9+RreIBzxt935JVyXR/FZJWXn/kQdh5/270s7mB++j9RHuuKQmrqEtftXV+OkTTroRQIlBv2OXcc2UNyh6UcMeOSvwM6/bvScCUOMaMAO9RF2dPJk9IEjbcuA13Yi/guchjxJJyBYISDh0kN+q23bivBfMQyWwX9OJBCXcblrzLThG1CaasjJNHiaCGOfJEUdpIKUbtrZZksigcFNPa5tkK16aE5RidNjT7hSdZlHFdRPuZPlemNIh9T27OD2Ln25QfmwWbx7Hk/UwpoIz+pfcrMaYsQY7Uxyjl+HLzy5Kty0w3SpmSaLle3Tv2mkC4rCiWZNs4x1HemoBHjjTxtNOQ+AuO3fluTvu5ssdRotLG1rwraNs8WfkiclnR/pcrlZ3DsAGwnfWqnDp44Qu8Ool2Ly3dF5XcyplPePvlzr9F1s482KtTS+DpAQAAAAAAAAAAAAAAAACAqQAPPQAAAAAAAAAAAAAAAAAAMBVMrrzVeRquMczlOpHjKsndcBxXHluqSbmPMdcl7cZkSQO5UlJO/cz8tDtW0C3flUSx9gnKb3mSKHybLlf+nyGl5ckV8HRRb1JHckoch5bfcjCPP1OyLeqOF81P1M/Ju7eyMjid40qXNpS7G5e76nAJBdVvhXv6DLvyelgui9r93pOqEvlxSSfDJdwr19tWwk04px+EpWLy3DfDRCUQMmSwGhg2tVL5pTQ4/0obS56fJ2nI2sZ0SdXkuusG8/BcjUOMoH+bcmHaNRjSLk08N/CG3SuIKy2U6Zo+rARJttzHkFKAOXlrtJxV4T4dvcbsc+BI/Dm/u5IFFqWv50wpIiFFsBG8D5WQYuP3Ec9ez7rEH1F8HBG1hdFzu5PtPbQMYOG65soFRsd2OVIx2RKa7WXCzXHJdnWy5nS5fcvq443zY8xrivcL+xxE2929n8yKjbNIPdr2nHnnN7gWOLScns5OSPwEy/Xyd6SIxfF3gsu6USnAaJt5+Xv7DDludq8dns6TBPPW3aJhFILrzGqDnZ+Xd1T+O7qeEez7UZkub805R+7KlQ6bm6Mq9YjWzSQCeHoAAAAAAAAAAAAAAAAAAGAqwEMPAAAAAAAAAAAAAAAAAABMBXjoAQAAAAAAAAAAAAAAAACAqWBiY3pUnYqqqmrqq3UX+t+9mASWJmI0XSNWhRfLIA3WOWvoAbP9qo4du0DEjTB01Zv1iMVniOqQRuNHeHjxQ6R2MG8XL/YH+13Xr8d16Co7nVWHnmoLHkuFb+uq/rNWC8nl6v3xc+dr0Q8+Fk+D0Ooj2+Uh8jP7flw3v7fKYsREY924DKnZv5uIamCW0EvP1RwOaqDa596xyyU0K+0K2du4FrNuW6+sHC3Tjh3XSGYR1Pbm6JhM/B9ub+aU9iaPy+PEJPLqN7Q2cQnt+BKayCXi1Fj5NTZFddk7RNQhGmFIix2nqjY/vY3m71b6ocvkGtCZ+4V3ccZIVj/I1Jge2lZ6us+5ZXkxpDKQMeCc+ljjSj3GitpyPh4prcFeok87mGNOfb69e6CVtzc2de4j4fv/rGJdN6X7yijaO+f+mRMLQqeLxtYw66DtXzCtGVuiRT0yzoM9D1S2ka+PBMeXzXFexjVa4r7Dt7lxCUZoQ92xXIbOPxiMazeGj8Fhxv7Q63NerA5rDTE79o6xXyOeKtsnui7K8dYOgvPR7DiKOfM4Ht/EG2O4xcbWbXNiIjfyyOgL4XUP776WY4u92CQZx5EdIyVI2tiglOJ9D54eAAAAAAAAAAAAAAAAAACYCvDQAwAAAAAAAAAAAAAAAAAAU8HEyltR1SGqOlIGSsPcepJyS5cuNLYrVKv6bOWxviY3WRJKrks920e7hXmSVhG0SxuTYPJksCz3NM+ly5PwEm52WraKuwius/p1ZJe05Ao8+TGRt3J5rbj7V6cz+HciSqurA9M1ZLCMOnjo/pOThymVprZFXZej7n2UWN09GaO5zOepYTmJGSAlIkpE2nXPctUu4S4elZLwJAaiUkBu/zE2JKdveuRIZAg3+qCsVolynTyirrbangm4PeN9Qds2K/8W7uPWfdhtz9IyWFFyZNS8emS6/5r5aXobTdswbWzZQFdKaYckXYJSJY17Ou8X7jVsSK/q/lJaTsSijXxijo2N2gDnGrPlUB2XfX0eLTzJC8vONQrLkOnJrJNdh6DETgm5TF00V0cQMiGQemlFWBZpSPm40n20scmWYDKlNHLtzrD3Cb2/JyuSI7+Yc65yxynWPqXHUSXyHOe9P4cSx5s93kzy7yxhtXN03hqVJW5knzFeaGyKza342o4rFWyUVWK905Vvi8odBeWyzDoQKXvLkzk2YM5ZZ+VF8bGIXlsMymBxsvtIVjsFZWZLSEVHZWs9iaxg24TXDloygyuJAAAAAAAAAAAAAAAAAACYRvDQAwAAAAAAAAAAAAAAAAAAU8HkylulHhE13ViENFBnsKRRvX+0nK2vsaj1ngSRcMlpuEnVzc3lR8IOaNFjcty4ctDuSK47WYbrWjVvd0OzLHWMoo6GhNXm/2zbuVrCKnmyUo6klaqEWSfRZ4KuX6502NoqWVTdhTpd0P0wLmFmH4coy3OJdNzbpOzZGvvd3GX6Ke3CrfMTrtGZ8htG3/L6cFhypIQ9K+G2z/GkDaxyS7iyit2VXebXCLc32gZa6HQF2j3s5huVtePpXHkJwx029xxYebSQ2uDjC/ceyiktPbHbqKrB15clBRKV7vHkIKL21utzQVw5y4qNTcVtXPUrfpmW7i/WvWEURG0qw5PirLr2ONCScnVx7Eh07FPk/ETPybDSRqPAkGosLnc4bUTtmmbY896m7YP2z5S00hLIfK7hzdNzJHEzbE0z/8JyYd59rDO4LYrI/jrSieFxisekXcst5FlDZMutdQZ/1/tNoh0fJ+el7gf+vkX0muBy30F592axg+WOsuvkbeOy7Uya3pXQjMr0lpY+yi0rKpmk5Ta3kjlS92IOq8faxtw0avNaSYcJOXpHFis6LM3o714dzL7fVmavv5+XNjaXdvv4EMDTAwAAAAAAAAAAAAAAAAAAUwEeegAAAAAAAAAAAAAAAAAAYCrAQw8AAAAAAAAAAAAAAAAAAEwFkxvT4zxN3fK5gdtcPT5Xx8/Yx4u7oDXk5ruDy9K6aWvr9Xczd6KqGnxcrg5bMF6D1B7W2v6D20mfAzcmA68j1wpddzRpM2JNNM43b7MzdbwLHS+kZ8VmWV8nk6AeoastGNQK9WLC8GOMtp+MoZCnYWnR2J+fb5010/yrFhfr33VsFh6zp4Re7W5mS88+V6fe6iM9z1Y6euEZ+u5N+8p0SZ1Lbmii8Uii6bwYAOG0mXrGlv601pVfWRn4PTveRY7u9Tj1kqOxVLx+a7VFVFO7jdZ6j2vy2snC13dnbjOjCZDJnhjceEXB/aIa2o28B58I3way+12ubr8orHAcj2y9+wwd91Ztff7nxhiEjQNXWDu3KUuks47DuYd6djR6sXrnYNh4DtH9vXFCTn46Ty+GgTUxm0VNe6L84x72WvZskmf/nHLFqeWDwOj1Hz2O6Ngh1+7mxIXKtYXWdeNco4nP7/VgO3iM8lxl9qVxxaQIj+WdeU3xPuj0Lc++ivgFkX5c+YtKs4wxx2mur8TWG+QamjdPsOcd8vZWIGZlzlpJThyPzPGljIPSIlZoBub65IYdB1fgxl1y4mJ4Mcp4OisGXxuGPD/hvh+OSWSvJfsVCcbb3HaNsxO2fzO+qggAAAAAAAAAAAAAAAAAgGlh4jw90vmno+tpTfy/RcXeXtDb7EyZB4OOEC8eu0Uj1cs8+Av47hO+YH15HXn9KuWZYdVdp7P28dpC1iH+CoE8P84TceJ1dDw90uB0Ka2plPyNPH4cykvFOX4b761Fu05W/l57mu3n1kO2n91/vPPd/g2cxnF47ck9PdLgc6Xr5PXp7ezEbkYfm3/tiB2ddHab23hvTU/6G5fRt0lKeHpE3y4v8LamZzdtt0X1f8yOqFdSvBraeYj8dsglwe23QU8Psc1J57VT2EYFr+/Um0r7RzTABjYTsH8Kt3l23kPaxNL55VLEzmd4enhEbeqw11iDnOMoYEcn4V5bvC11np7XQLysabSB29q/eEbsnwKeHu45G9aGFkiXQ67dbTMmHJas6yZ4roatw6j2a03mG+Sj7IOtrh++nzHeNJh5G+jOY4xtzlpOuCx3npAzf8ol+qZ+dDxTwtNj8PpNq3WjrDoNW/dY/7HWpMqV1WK/0P4ZfT87vxzyr9s29m/iHno8+eSTRET0Zxt/MDjBsG3rSark3i+GHJc2sI7RO/b2yjN+W+RKz0TLTsb3EvlxRnGMUXLyj55j7/ec/jPO9ciV7ZMQUas+/eSTT9LS0lJujSaKLRv45/SRwec8aqei11hk/9w67BQ5bbTbysotN2pHotty0u0U0bbQDHsfakNGnabJ/hEFbCBnlG3eJu/SfX8SrqXcOoyr7qOu3yTcNyehH3iMs484+0yTDWxl/6KM+t40rA2dlDHGOO/ho8x7lOP3Sbwv7IaxfOnxpmIqbWD6cLlx2KjntNZ5mxSbtVNz1RLrS+Oqe7SPjPOYSuw36ePSAtdtxP5VacIeDfd6PXr88ccppURXXXUVPfbYY7R///6drtaOsry8TIcPH0ZbENpiC7TDJiklevLJJ+nKK6+kTmc61PpgA5ugv2+CdqhBW0yn/SPatIHHjx+n5zznOTN9frdAX69BW9SgLabTBmIM2AR9vQZtUYO2gA2cFdDXN0E71KAt2tm/ifP06HQ69MxnPpOWl5eJiGj//v0zeyI1aIsatMUmaAeamjdbtoANtEFbbIJ2qJn1tpg2+0e0aQP/0T/6R0SE88tBW9SgLWpmvS2mzQZiDGiDtqhBW9TMelvABs4OaItN0A41s94WUfs3HY+EAQAAAAAAAAAAAAAAAAAw8+ChBwAAAAAAAAAAAAAAAAAApoKJfeixuLhIb37zm2lxcXGnq7LjoC1q0BaboB2mH5zjGrTFJmiHGrTFdIPzW4O2qEFb1KAtphuc3xq0RQ3aogZtMd3g/NagLTZBO9SgLdoxcYHMAQAAAAAAAAAAAAAAAAAAcphYTw8AAAAAAAAAAAAAAAAAAIA24KEHAAAAAAAAAAAAAAAAAACmAjz0AAAAAAAAAAAAAAAAAADAVICHHgAAAAAAAAAAAAAAAAAAmArw0AMAAAAAAAAAAAAAAAAAAFPBxD70+K3f+i169rOfTXv27KEbbriBPv3pT+90lUbKXXfdRd/3fd9HF110EV1++eV0yy230PHjx0Wac+fO0dGjR+nSSy+lffv20W233UYnT57coRqPj7e85S1UVRW94Q1v6P82S23xta99jX7iJ36CLr30Utq7dy9993d/N332s5/tb08p0Zve9Ca64ooraO/evXTTTTfRl7/85R2sMRiWWbN/RLCBFrB/sH+zyKzZQNg/G9hA2MBZBDYQNnAL2EDYwFlj1uwfEWygBewf7F8JJvKhx+///u/TsWPH6M1vfjN97nOfo+/5nu+hm2++mb7+9a/vdNVGxgMPPEBHjx6lhx56iD7+8Y/T2toa/dAP/RCdOXOmn+aOO+6gD3/4w3TPPffQAw88QI8//jjdeuutO1jr0fOZz3yGfvu3f5ue97znid9npS2+/e1v04te9CLqdrv0R3/0R/SlL32JfvM3f5Muvvjifppf//Vfp7e//e30rne9iz71qU/RhRdeSDfffDOdO3duB2sOcplF+0cEGzgI2D/Yv1lkFm0g7N9gYANhA2cR2EDYwC1gA2EDZ41ZtH9EsIGDgP2D/StGmkBe+MIXpqNHj/b/39jYSFdeeWW66667drBW4+XrX/96IqL0wAMPpJRSOnXqVOp2u+mee+7pp/m///f/JiJKDz744E5Vc6Q8+eST6Zprrkkf//jH00te8pL0+te/PqU0W23xy7/8y+nFL36xub3X66VDhw6l3/iN3+j/durUqbS4uJj+x//4H+OoIigM7N8ms24DYf9g/2YV2EDYv5RgA1OCDZxVYANhA1OCDUwJNnAWgf3bZNZtIOwf7F9JJs7TY3V1lR5++GG66aab+r91Oh266aab6MEHH9zBmo2X06dPExHRJZdcQkREDz/8MK2trYl2ufbaa+mqq66a2nY5evQoveIVrxDHTDRbbfEHf/AH9IIXvIBe9apX0eWXX07Pf/7z6Xd/93f72x955BE6ceKEaIulpSW64YYbpq4tZgHYv5pZt4Gwf7B/swhs4Cazbv+IYAOJYANnEdjATWADYQOJYANnDdi/mlm3gbB/sH8lmbiHHt/85jdpY2ODDh48KH4/ePAgnThxYodqNV56vR694Q1voBe96EX03Oc+l4iITpw4QQsLC3TgwAGRdlrb5f3vfz997nOfo7vuuquxbZba4qtf/Sq9853vpGuuuYY+9rGP0c///M/TL/zCL9B73/teIqL+8c7y9TJNwP5tMus2EPZvE9i/2QM2EPaPCDZwC9jA2QM2EDaQCDZwC9jA2QL2b5NZt4Gwf5vA/pVjfqcrAJocPXqUvvjFL9Kf//mf73RVdoTHHnuMXv/619PHP/5x2rNnz05XZ0fp9Xr0ghe8gH7t136NiIie//zn0xe/+EV617veRa95zWt2uHYAjIZZtoGwfzWwf2AWmWX7RwQbyIENBLMIbCBs4BawgWAWmWUbCPtXA/tXjonz9HjGM55Bc3NzdPLkSfH7yZMn6dChQztUq/Fx++230x/+4R/Sn/zJn9Azn/nM/u+HDh2i1dVVOnXqlEg/je3y8MMP09e//nX63u/9Xpqfn6f5+Xl64IEH6O1vfzvNz8/TwYMHZ6YtrrjiCnrOc54jfrvuuuvo0UcfJSLqH++sXi/TxqzbPyLYQNi/Gti/2WPWbeCs2z8i2EAObODsARsIGwgbWAMbOFvMuv0jgg2E/auB/SvHxD30WFhYoOuvv57uu+++/m+9Xo/uu+8+OnLkyA7WbLSklOj222+nD37wg/SJT3yCrr76arH9+uuvp263K9rl+PHj9Oijj05du7zsZS+jL3zhC/T5z3++/3nBC15Ar371q/vfZ6UtXvSiF9Hx48fFb3/zN39Dz3rWs4iI6Oqrr6ZDhw6JtlheXqZPfepTU9cWs8Cs2j8i2MAtYP9qYP9mj1m1gbB/NbCBNbCBswdsIGwgbGANbOBsMav2jwg2cAvYvxrYv4LsaBh1g/e///1pcXExvec970lf+tKX0s/+7M+mAwcOpBMnTux01UbGz//8z6elpaV0//33pyeeeKL/efrpp/tpfu7nfi5dddVV6ROf+ET67Gc/m44cOZKOHDmyg7UeHy95yUvS61//+v7/s9IWn/70p9P8/Hz6T//pP6Uvf/nL6b//9/+eLrjggvR7v/d7/TRvectb0oEDB9KHPvSh9Jd/+Zfpla98Zbr66qvT2bNnd7DmIJdZtH8pwQZ6wP7B/s0Ss2gDYf98YANhA2cJ2EDYQA1sIGzgrDCL9i8l2EAP2D/Yv2GZyIceKaX0X//rf01XXXVVWlhYSC984QvTQw89tNNVGilENPBz991399OcPXs2/Zt/82/SxRdfnC644IL0r/7Vv0pPPPHEzlV6jGhjN0tt8eEPfzg997nPTYuLi+naa69Nv/M7vyO293q99MY3vjEdPHgwLS4uppe97GXp+PHjO1RbUIJZs38pwQZ6wP7B/s0as2YDYf98YANhA2cN2EDYQA5sIGzgLDFr9i8l2EAP2D/Yv2GpUkppHB4lAAAAAAAAAAAAAAAAAAAAo2TiYnoAAAAAAAAAAAAAAAAAAADkgIceAAAAAAAAAAAAAAAAAACYCvDQAwAAAAAAAAAAAAAAAAAAUwEeegAAAAAAAAAAAAAAAAAAYCrAQw8AAAAAAAAAAAAAAAAAAEwFeOgBAAAAAAAAAAAAAAAAAICpAA89AAAAAAAAAAAAAAAAAAAwFeChBwAAAAAAAAAAAAAAAAAApgI89AAAAAAAAAAAAAAAAAAAwFSAhx4AAAAAAAAAAAAAAAAAAJgK8NADAAAAAAAAAAAAAAAAAABTwf8fD/+MHLxShXgAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(nrows=1, ncols=5, figsize=(20,100))\n", + "ax[0].imshow(sample[0]['images'][0])\n", + "ax[1].imshow(sample[0]['images'][1])\n", + "ax[2].imshow(sample[0]['images'][2])\n", + "ax[3].imshow(sample[0]['images'][3])\n", + "ax[4].imshow(sample[0]['images'][4])" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "edda8a1d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[0.2134, 0.0712, 0.0306, 0.0294, 0.1863, 0.0150, 0.1727, 0.0317, 0.0226,\n", + " 0.2936, 0.1327, 0.1259, 0.1309, 0.3612, 0.1337, 0.0843, 0.0562, 0.0156,\n", + " 0.0834, 0.1396],\n", + " [0.4086, 0.2834, 0.0627, 0.0643, 0.1496, 0.1052, 0.0562, 0.0159, 0.2009,\n", + " 0.1089, 0.0686, 0.0614, 0.4613, 0.0774, 0.1728, 0.2064, 0.4167, 0.1146,\n", + " 0.1415, 0.3949],\n", + " [0.1079, 0.1110, 0.0737, 0.1308, 0.2169, 0.0879, 0.1795, 0.0331, 0.0127,\n", + " 0.0392, 0.1160, 0.2100, 0.1195, 0.0563, 0.1292, 0.0510, 0.1049, 0.0257,\n", + " 0.2521, 0.0809],\n", + " [0.2685, 0.1217, 0.0897, 0.2009, 0.1018, 0.1028, 0.0617, 0.2257, 0.1794,\n", + " 0.0250, 0.1252, 0.0556, 0.0897, 0.1231, 0.0767, 0.1133, 0.1262, 0.0892,\n", + " 0.0292, 0.0952],\n", + " [0.0398, 0.0749, 0.1000, 0.0608, 0.0637, 0.4909, 0.0686, 0.0626, 0.1083,\n", + " 0.0652, 0.3225, 0.1226, 0.0508, 0.1016, 0.1393, 0.0292, 0.0442, 0.3917,\n", + " 0.0969, 0.0562],\n", + " [0.0957, 0.0292, 0.0449, 0.3006, 0.0706, 0.0063, 0.1052, 0.0983, 0.0217,\n", + " 0.3504, 0.1213, 0.0552, 0.2548, 0.1910, 0.1090, 0.1439, 0.2729, 0.2534,\n", + " 0.0845, 0.3838],\n", + " [0.2650, 0.1043, 0.1103, 0.2062, 0.1152, 0.1691, 0.1018, 0.0702, 0.0309,\n", + " 0.1021, 0.3720, 0.1231, 0.0785, 0.1602, 0.0773, 0.2175, 0.1729, 0.0832,\n", + " 0.1186, 0.0834],\n", + " [0.3455, 0.4696, 0.4919, 0.1642, 0.1164, 0.2027, 0.1191, 0.0426, 0.1550,\n", + " 0.1887, 0.0665, 0.3645, 0.3500, 0.1455, 0.0427, 0.0741, 0.0947, 0.1310,\n", + " 0.1034, 0.0384],\n", + " [0.2024, 0.1070, 0.2823, 0.0366, 0.0479, 0.1109, 0.0363, 0.1693, 0.1408,\n", + " 0.0814, 0.0957, 0.1345, 0.3363, 0.0243, 0.1707, 0.1857, 0.0238, 0.0660,\n", + " 0.1559, 0.1249],\n", + " [0.1487, 0.1415, 0.0659, 0.0172, 0.0972, 0.0631, 0.3673, 0.1354, 0.0157,\n", + " 0.1733, 0.1170, 0.0779, 0.0987, 0.1510, 0.0273, 0.1333, 0.1646, 0.4769,\n", + " 0.1399, 0.3651],\n", + " [0.0963, 0.1720, 0.0750, 0.1278, 0.0341, 0.0245, 0.1656, 0.1405, 0.0917,\n", + " 0.1864, 0.0466, 0.0678, 0.1811, 0.1358, 0.1230, 0.1239, 0.1211, 0.0739,\n", + " 0.0491, 0.1215],\n", + " [0.1201, 0.2914, 0.2204, 0.0479, 0.1360, 0.0365, 0.1092, 0.1230, 0.1314,\n", + " 0.5546, 0.1357, 0.0810, 0.1397, 0.1311, 0.0594, 0.1556, 0.0673, 0.0365,\n", + " 0.0657, 0.1346],\n", + " [0.0112, 0.0872, 0.2030, 0.0614, 0.5551, 0.0469, 0.1561, 0.1443, 0.1614,\n", + " 0.0965, 0.5741, 0.3287, 0.1302, 0.0622, 0.4076, 0.1260, 0.0537, 0.1285,\n", + " 0.0955, 0.1461],\n", + " [0.0694, 0.2428, 0.1226, 0.0627, 0.1111, 0.2097, 0.1425, 0.1316, 0.1607,\n", + " 0.1161, 0.3207, 0.5405, 0.1360, 0.0675, 0.1140, 0.1547, 0.0921, 0.0286,\n", + " 0.2457, 0.1282],\n", + " [0.4613, 0.1384, 0.1630, 0.0195, 0.0791, 0.0635, 0.3648, 0.0457, 0.0053,\n", + " 0.1800, 0.1222, 0.2262, 0.1084, 0.0793, 0.4604, 0.0562, 0.1016, 0.1237,\n", + " 0.3139, 0.0852],\n", + " [0.1203, 0.0898, 0.1292, 0.3301, 0.0279, 0.1961, 0.2364, 0.0792, 0.0783,\n", + " 0.1105, 0.3389, 0.1614, 0.1001, 0.3926, 0.0463, 0.1668, 0.1128, 0.2948,\n", + " 0.3520, 0.4009],\n", + " [0.0726, 0.0552, 0.0977, 0.0613, 0.0494, 0.0786, 0.1379, 0.3164, 0.1193,\n", + " 0.1130, 0.0306, 0.0178, 0.0236, 0.0285, 0.1384, 0.0634, 0.0573, 0.0603,\n", + " 0.2037, 0.0860],\n", + " [0.1710, 0.0350, 0.1071, 0.1801, 0.0326, 0.1042, 0.1345, 0.1127, 0.1023,\n", + " 0.2303, 0.0921, 0.0718, 0.0853, 0.1342, 0.3617, 0.0779, 0.0861, 0.1606,\n", + " 0.0635, 0.1693],\n", + " [0.1048, 0.3920, 0.0689, 0.0179, 0.1248, 0.3947, 0.0772, 0.0428, 0.1122,\n", + " 0.0697, 0.1140, 0.0819, 0.3131, 0.2081, 0.0982, 0.0603, 0.1034, 0.1883,\n", + " 0.1894, 0.3613],\n", + " [0.1564, 0.0739, 0.1650, 0.1178, 0.0204, 0.0933, 0.0655, 0.1338, 0.4460,\n", + " 0.0895, 0.0444, 0.0867, 0.2314, 0.0791, 0.1048, 0.1028, 0.2576, 0.0465,\n", + " 0.1021, 0.0804]])" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample[0]['tile_catalog']['redshifts'].reshape((20,20))" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "bf89f189", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample[0]['tile_catalog'].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "78902234", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0],\n", + " [1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0],\n", + " [1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0],\n", + " [1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],\n", + " [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0],\n", + " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0]])" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample[0]['tile_catalog']['n_sources']" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "01642136", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[[2.7401e-01, 4.5627e-01],\n", + " [4.9972e-01, 6.6532e-02],\n", + " [3.3090e-01, 1.4780e-01],\n", + " [2.6440e-01, 3.3328e-01],\n", + " [3.5633e-01, 2.5803e-01],\n", + " [8.0919e-01, 2.2501e-01],\n", + " [2.3993e-01, 7.8461e-01],\n", + " [6.0230e-01, 4.0145e-01],\n", + " [2.1070e-01, 8.4381e-01],\n", + " [4.8868e-02, 8.4039e-01],\n", + " [1.6567e-01, 6.2385e-01],\n", + " [7.2194e-01, 3.7000e-02],\n", + " [8.3192e-01, 7.5425e-01],\n", + " [5.9389e-01, 7.1751e-01],\n", + " [8.4443e-01, 7.9373e-01],\n", + " [6.3690e-01, 5.2127e-01],\n", + " [1.7617e-01, 6.8671e-01],\n", + " [9.4578e-01, 1.5026e-01],\n", + " [7.2395e-01, 2.0207e-01],\n", + " [9.4517e-01, 4.4714e-01]],\n", + "\n", + " [[3.6235e-02, 8.9580e-01],\n", + " [2.2602e-01, 5.9588e-01],\n", + " [6.5126e-01, 6.0207e-01],\n", + " [3.8109e-01, 5.6168e-01],\n", + " [5.3784e-01, 9.5656e-01],\n", + " [8.2840e-01, 1.9194e-01],\n", + " [3.0644e-01, 5.4637e-01],\n", + " [1.8946e-01, 2.7190e-01],\n", + " [8.7963e-02, 8.0192e-01],\n", + " [3.2874e-02, 9.2649e-01],\n", + " [8.1041e-01, 1.8544e-01],\n", + " [7.6110e-01, 5.2216e-01],\n", + " [8.7367e-02, 9.0857e-01],\n", + " [8.0397e-01, 1.6980e-01],\n", + " [6.3758e-02, 8.1062e-01],\n", + " [8.0911e-01, 5.5851e-01],\n", + " [1.0604e-01, 3.6292e-01],\n", + " [7.2521e-01, 9.2548e-01],\n", + " [3.7466e-01, 3.9013e-01],\n", + " [1.8890e-01, 2.2853e-01]],\n", + "\n", + " [[5.8816e-01, 1.3906e-01],\n", + " [5.6374e-01, 1.7519e-01],\n", + " [3.2242e-01, 1.0417e-01],\n", + " [7.0950e-01, 6.3146e-02],\n", + " [6.3180e-01, 5.2249e-01],\n", + " [6.3702e-01, 3.8915e-01],\n", + " [9.9065e-01, 2.0375e-01],\n", + " [8.0710e-02, 7.8175e-01],\n", + " [8.4178e-01, 5.3132e-01],\n", + " [1.3244e-01, 5.7511e-02],\n", + " [7.8582e-01, 1.1539e-01],\n", + " [4.8318e-01, 1.0007e-01],\n", + " [5.6609e-01, 7.1274e-01],\n", + " [3.8364e-01, 7.0490e-02],\n", + " [3.1837e-01, 9.2076e-01],\n", + " [2.9715e-01, 3.6908e-01],\n", + " [3.4447e-01, 1.6903e-01],\n", + " [1.4433e-01, 3.6483e-01],\n", + " [2.2961e-01, 2.0126e-01],\n", + " [3.4197e-01, 9.9985e-01]],\n", + "\n", + " [[5.5582e-01, 1.0928e-01],\n", + " [1.3659e-01, 4.2818e-02],\n", + " [7.3538e-01, 9.8429e-01],\n", + " [6.9236e-01, 2.3853e-01],\n", + " [7.4951e-01, 3.5034e-02],\n", + " [2.3315e-01, 3.6694e-01],\n", + " [3.2252e-01, 2.3682e-01],\n", + " [2.9937e-01, 7.1261e-01],\n", + " [1.1609e-03, 8.9797e-01],\n", + " [3.5689e-01, 4.4032e-01],\n", + " [8.5127e-01, 8.7133e-01],\n", + " [5.4498e-02, 2.5054e-01],\n", + " [6.0418e-01, 3.0610e-01],\n", + " [2.8285e-01, 8.1805e-01],\n", + " [2.2699e-01, 6.2490e-01],\n", + " [6.0086e-01, 9.0637e-02],\n", + " [7.2763e-01, 8.5446e-01],\n", + " [7.7736e-01, 6.6899e-01],\n", + " [5.6707e-02, 7.9663e-01],\n", + " [3.1722e-01, 4.5892e-01]],\n", + "\n", + " [[4.6115e-02, 3.6928e-01],\n", + " [7.4379e-01, 7.1286e-01],\n", + " [6.6239e-01, 7.4148e-01],\n", + " [6.2005e-01, 4.6659e-01],\n", + " [2.1438e-01, 6.0729e-01],\n", + " [8.8690e-01, 3.6805e-01],\n", + " [6.3246e-01, 1.1584e-02],\n", + " [1.7423e-01, 3.3386e-01],\n", + " [9.7374e-01, 7.7613e-03],\n", + " [8.6533e-01, 5.5644e-01],\n", + " [7.4740e-01, 4.9379e-01],\n", + " [5.8680e-01, 4.0190e-03],\n", + " [6.6550e-01, 1.5743e-01],\n", + " [7.1321e-01, 9.0492e-01],\n", + " [2.8134e-01, 5.8844e-01],\n", + " [4.8365e-01, 1.6469e-01],\n", + " [3.6863e-01, 5.1886e-01],\n", + " [4.0712e-01, 3.0759e-01],\n", + " [3.1311e-01, 3.2730e-01],\n", + " [4.3000e-01, 5.2406e-01]],\n", + "\n", + " [[6.5187e-01, 4.6079e-01],\n", + " [1.4684e-01, 8.0351e-01],\n", + " [7.5447e-01, 4.8312e-01],\n", + " [2.6434e-01, 1.2838e-01],\n", + " [3.6928e-01, 3.4961e-01],\n", + " [2.2430e-01, 6.6712e-01],\n", + " [6.4737e-01, 5.5343e-01],\n", + " [5.5168e-01, 9.8903e-02],\n", + " [2.1067e-01, 8.5513e-01],\n", + " [8.6014e-01, 4.7386e-01],\n", + " [2.3298e-01, 3.4013e-01],\n", + " [4.7342e-01, 4.6809e-01],\n", + " [7.8075e-01, 2.2523e-01],\n", + " [5.9761e-01, 5.1934e-01],\n", + " [9.6683e-01, 2.3146e-01],\n", + " [4.2049e-01, 9.1686e-01],\n", + " [6.5207e-01, 9.4841e-01],\n", + " [2.5536e-01, 5.5449e-01],\n", + " [9.4312e-02, 9.1659e-01],\n", + " [7.8080e-01, 6.5769e-01]],\n", + "\n", + " [[4.5386e-01, 1.1806e-01],\n", + " [7.8645e-01, 5.7997e-01],\n", + " [3.7361e-01, 2.1785e-01],\n", + " [7.3410e-01, 4.5298e-01],\n", + " [5.3424e-01, 2.4735e-01],\n", + " [2.4958e-01, 5.2270e-01],\n", + " [5.1427e-01, 2.1762e-01],\n", + " [7.4725e-01, 8.1790e-01],\n", + " [6.6894e-01, 9.2078e-02],\n", + " [3.1262e-01, 1.2209e-01],\n", + " [1.0301e-01, 7.1357e-01],\n", + " [4.7145e-01, 6.9384e-01],\n", + " [4.7321e-01, 5.3255e-02],\n", + " [7.7765e-01, 1.3800e-01],\n", + " [6.4865e-01, 2.3859e-01],\n", + " [5.7482e-01, 8.0696e-01],\n", + " [2.7929e-01, 3.1180e-01],\n", + " [1.7270e-02, 9.4020e-01],\n", + " [3.7535e-01, 4.9543e-01],\n", + " [1.4975e-01, 1.9521e-01]],\n", + "\n", + " [[5.2172e-01, 2.8933e-01],\n", + " [3.9752e-02, 7.4273e-02],\n", + " [8.1379e-01, 6.6436e-01],\n", + " [8.2950e-01, 2.2533e-01],\n", + " [5.8256e-01, 3.9839e-01],\n", + " [3.0298e-01, 9.4996e-01],\n", + " [6.6572e-01, 6.9477e-01],\n", + " [3.7663e-01, 4.5516e-01],\n", + " [7.7951e-01, 2.3980e-01],\n", + " [7.3800e-01, 7.6609e-01],\n", + " [5.5143e-01, 5.6521e-01],\n", + " [6.4149e-01, 6.9504e-01],\n", + " [1.8941e-01, 9.0741e-02],\n", + " [1.2845e-01, 8.1271e-01],\n", + " [1.6093e-01, 7.5620e-01],\n", + " [2.0471e-01, 1.4265e-01],\n", + " [5.9597e-01, 5.8604e-01],\n", + " [9.0192e-01, 2.9288e-01],\n", + " [8.3247e-01, 6.8333e-01],\n", + " [2.3395e-01, 8.4973e-01]],\n", + "\n", + " [[4.2078e-01, 9.7306e-01],\n", + " [8.0687e-01, 5.4592e-01],\n", + " [3.3517e-01, 8.5320e-01],\n", + " [1.8088e-02, 8.4317e-01],\n", + " [1.9950e-01, 3.0492e-01],\n", + " [9.8670e-01, 6.2237e-01],\n", + " [2.5204e-02, 6.3219e-01],\n", + " [6.9743e-01, 1.4396e-01],\n", + " [2.9678e-01, 1.7311e-01],\n", + " [3.1509e-01, 8.1169e-01],\n", + " [2.2314e-01, 5.8022e-01],\n", + " [7.5347e-01, 9.6071e-01],\n", + " [9.4964e-01, 2.9989e-01],\n", + " [2.9571e-01, 4.2576e-01],\n", + " [9.6221e-01, 9.3935e-01],\n", + " [2.2157e-01, 1.0070e-01],\n", + " [3.2796e-01, 9.2419e-01],\n", + " [1.8510e-01, 7.6955e-01],\n", + " [6.5050e-01, 8.0223e-01],\n", + " [9.3271e-02, 8.6264e-01]],\n", + "\n", + " [[7.2580e-01, 3.9320e-01],\n", + " [4.7195e-01, 4.8924e-01],\n", + " [6.2152e-01, 6.4775e-01],\n", + " [6.7221e-01, 5.0825e-01],\n", + " [8.1011e-01, 8.6161e-01],\n", + " [5.7780e-01, 1.4915e-01],\n", + " [6.2779e-02, 1.2136e-01],\n", + " [5.9881e-01, 5.4577e-01],\n", + " [9.5283e-01, 5.7709e-03],\n", + " [9.8038e-01, 9.7664e-02],\n", + " [9.6111e-02, 9.1127e-01],\n", + " [4.7399e-01, 9.3529e-02],\n", + " [8.9005e-01, 6.7801e-01],\n", + " [3.2858e-01, 9.8854e-02],\n", + " [6.0551e-01, 2.7249e-01],\n", + " [8.4785e-01, 7.4827e-01],\n", + " [1.6370e-01, 4.7471e-01],\n", + " [5.2456e-01, 1.2376e-01],\n", + " [2.3544e-01, 6.4828e-01],\n", + " [9.2904e-01, 5.8092e-01]],\n", + "\n", + " [[6.5391e-01, 8.6828e-01],\n", + " [1.7048e-01, 5.5058e-01],\n", + " [2.9042e-01, 9.1609e-01],\n", + " [9.6948e-01, 6.6963e-01],\n", + " [5.8836e-01, 1.9419e-01],\n", + " [9.7484e-01, 5.7334e-02],\n", + " [3.4205e-01, 7.5781e-01],\n", + " [3.4905e-01, 5.0712e-01],\n", + " [6.4147e-01, 7.8931e-01],\n", + " [4.0677e-01, 8.8019e-01],\n", + " [5.0357e-01, 1.5644e-01],\n", + " [4.5552e-01, 6.3118e-01],\n", + " [1.6550e-01, 9.0738e-01],\n", + " [7.3093e-01, 8.5270e-01],\n", + " [4.3461e-01, 1.4594e-01],\n", + " [2.0035e-01, 4.8395e-01],\n", + " [2.7774e-01, 9.8632e-01],\n", + " [4.0772e-01, 7.0827e-01],\n", + " [9.3022e-01, 5.8852e-01],\n", + " [2.9502e-01, 6.7990e-01]],\n", + "\n", + " [[9.5830e-01, 4.0752e-01],\n", + " [1.9177e-01, 7.4786e-01],\n", + " [9.5065e-01, 2.1352e-01],\n", + " [5.7462e-01, 4.2553e-02],\n", + " [6.7377e-01, 8.7372e-01],\n", + " [6.2309e-01, 1.0446e-01],\n", + " [4.8609e-01, 1.2099e-01],\n", + " [4.0227e-01, 2.9783e-01],\n", + " [5.1577e-03, 5.6119e-01],\n", + " [7.3917e-01, 4.9713e-01],\n", + " [3.5996e-01, 1.7271e-01],\n", + " [8.5421e-02, 4.7481e-01],\n", + " [6.4386e-01, 1.9460e-02],\n", + " [4.0080e-01, 4.9978e-01],\n", + " [3.6610e-01, 9.4703e-01],\n", + " [4.9680e-01, 2.1702e-01],\n", + " [9.7739e-01, 1.2894e-01],\n", + " [9.6524e-01, 6.2716e-01],\n", + " [1.0361e-01, 3.3173e-01],\n", + " [2.0503e-01, 2.2755e-01]],\n", + "\n", + " [[5.4948e-01, 4.7615e-01],\n", + " [6.5168e-01, 9.9132e-01],\n", + " [2.9586e-01, 6.0124e-01],\n", + " [5.0806e-01, 5.6385e-01],\n", + " [6.4140e-01, 5.9393e-01],\n", + " [8.6247e-01, 5.4913e-01],\n", + " [2.1918e-01, 1.7328e-03],\n", + " [1.9881e-01, 5.2215e-01],\n", + " [7.0659e-02, 3.4971e-01],\n", + " [1.4497e-01, 2.5074e-01],\n", + " [6.1890e-02, 2.5870e-01],\n", + " [3.6525e-01, 1.2612e-01],\n", + " [4.7460e-01, 1.0328e-01],\n", + " [2.2464e-01, 2.1927e-01],\n", + " [5.4410e-01, 1.8616e-01],\n", + " [8.6766e-01, 2.6443e-01],\n", + " [3.2471e-01, 8.4264e-01],\n", + " [3.4359e-02, 1.2464e-01],\n", + " [6.6914e-01, 9.3897e-01],\n", + " [1.4836e-01, 3.9156e-01]],\n", + "\n", + " [[9.5683e-01, 2.9482e-01],\n", + " [4.2175e-01, 5.3463e-01],\n", + " [6.6546e-01, 1.6366e-01],\n", + " [3.9521e-01, 9.6029e-01],\n", + " [8.4096e-01, 5.9967e-01],\n", + " [8.1851e-01, 3.3728e-01],\n", + " [5.7671e-01, 2.8349e-01],\n", + " [6.8634e-01, 1.1368e-02],\n", + " [9.9277e-01, 2.1642e-01],\n", + " [2.3962e-01, 6.8926e-01],\n", + " [4.6229e-01, 7.8227e-01],\n", + " [8.9353e-01, 8.2456e-01],\n", + " [5.2141e-01, 8.8578e-01],\n", + " [5.5631e-01, 2.8778e-01],\n", + " [8.9885e-01, 2.8218e-01],\n", + " [4.8553e-01, 5.8742e-01],\n", + " [9.6037e-01, 5.5643e-01],\n", + " [8.0762e-02, 4.5906e-01],\n", + " [5.0119e-02, 8.4837e-01],\n", + " [4.0002e-01, 3.6525e-01]],\n", + "\n", + " [[7.6833e-02, 6.3891e-01],\n", + " [7.6342e-01, 6.7882e-01],\n", + " [6.9665e-01, 8.8298e-01],\n", + " [4.9574e-01, 7.3724e-02],\n", + " [5.7071e-01, 7.8037e-01],\n", + " [7.7380e-01, 5.8106e-01],\n", + " [7.7318e-01, 9.0765e-01],\n", + " [8.1429e-01, 3.0920e-01],\n", + " [7.1073e-01, 5.5915e-01],\n", + " [6.2355e-01, 8.7714e-01],\n", + " [5.4072e-01, 4.2139e-01],\n", + " [5.8102e-01, 7.9184e-01],\n", + " [5.9048e-01, 2.5863e-01],\n", + " [6.5871e-01, 2.2506e-01],\n", + " [8.7966e-01, 6.0984e-01],\n", + " [7.9912e-01, 9.1812e-01],\n", + " [9.8061e-01, 6.0502e-01],\n", + " [7.9609e-01, 1.5273e-01],\n", + " [3.9665e-01, 8.8034e-02],\n", + " [7.5520e-01, 4.3929e-01]],\n", + "\n", + " [[2.8613e-03, 2.5466e-01],\n", + " [9.4361e-01, 6.1108e-01],\n", + " [9.0446e-01, 1.7752e-01],\n", + " [7.7860e-01, 8.6404e-01],\n", + " [1.6240e-01, 8.7179e-01],\n", + " [1.5657e-01, 1.6153e-02],\n", + " [8.5648e-01, 9.7751e-02],\n", + " [8.8624e-01, 6.1007e-01],\n", + " [1.4567e-01, 1.5967e-01],\n", + " [8.9985e-01, 2.9589e-01],\n", + " [5.6356e-01, 4.3226e-01],\n", + " [8.7165e-01, 8.6122e-01],\n", + " [1.2717e-01, 8.3405e-01],\n", + " [3.9254e-02, 1.6479e-01],\n", + " [7.0073e-01, 1.7714e-01],\n", + " [7.7803e-01, 3.3256e-01],\n", + " [9.8366e-01, 5.0576e-01],\n", + " [1.6904e-01, 8.3812e-01],\n", + " [9.9252e-01, 4.5991e-01],\n", + " [1.8177e-01, 2.3438e-02]],\n", + "\n", + " [[6.3886e-01, 7.0946e-01],\n", + " [4.7922e-02, 3.1907e-01],\n", + " [3.6498e-01, 1.7323e-01],\n", + " [7.9573e-01, 3.8554e-01],\n", + " [5.0192e-01, 8.0859e-02],\n", + " [6.1663e-02, 4.8716e-01],\n", + " [6.1665e-01, 7.6693e-01],\n", + " [5.2436e-01, 7.6490e-01],\n", + " [1.0043e-01, 8.2168e-01],\n", + " [5.3044e-01, 2.9469e-02],\n", + " [6.0360e-01, 9.7705e-01],\n", + " [5.6234e-01, 5.6747e-01],\n", + " [6.8196e-01, 9.2456e-03],\n", + " [2.1700e-01, 1.0407e-01],\n", + " [2.7577e-01, 8.7518e-01],\n", + " [3.1281e-01, 8.0501e-01],\n", + " [5.0961e-01, 8.1921e-01],\n", + " [6.8250e-01, 4.5177e-01],\n", + " [6.1936e-01, 2.4040e-01],\n", + " [8.3493e-01, 4.1102e-01]],\n", + "\n", + " [[8.4779e-01, 8.1340e-01],\n", + " [8.2001e-01, 6.1977e-02],\n", + " [3.7242e-01, 1.0446e-01],\n", + " [1.5668e-01, 2.9482e-01],\n", + " [4.2626e-01, 2.6993e-01],\n", + " [3.5771e-01, 1.3995e-01],\n", + " [3.9464e-01, 9.9469e-02],\n", + " [8.5366e-01, 6.3703e-01],\n", + " [9.4746e-03, 8.0593e-02],\n", + " [5.5610e-01, 3.3766e-01],\n", + " [5.9661e-01, 8.6780e-01],\n", + " [9.8710e-01, 4.3953e-01],\n", + " [6.0695e-01, 4.0527e-01],\n", + " [5.7668e-01, 4.3200e-01],\n", + " [4.1773e-01, 4.5245e-01],\n", + " [7.9786e-01, 5.0474e-01],\n", + " [1.4411e-01, 1.4820e-01],\n", + " [7.8009e-01, 8.5613e-01],\n", + " [6.4973e-01, 6.3633e-02],\n", + " [1.9719e-01, 6.3398e-01]],\n", + "\n", + " [[6.2930e-01, 7.4707e-02],\n", + " [7.9811e-01, 4.7562e-01],\n", + " [9.1542e-02, 4.4186e-01],\n", + " [2.2382e-02, 5.7825e-01],\n", + " [9.1794e-01, 6.5756e-01],\n", + " [2.2702e-01, 6.2038e-01],\n", + " [7.0470e-01, 7.6148e-01],\n", + " [6.2629e-01, 4.4510e-01],\n", + " [2.2906e-01, 2.3392e-01],\n", + " [8.1635e-01, 2.6745e-04],\n", + " [6.0804e-01, 6.2654e-01],\n", + " [9.6538e-01, 2.7532e-01],\n", + " [2.5314e-01, 4.6766e-01],\n", + " [4.3116e-01, 4.7425e-01],\n", + " [5.5444e-01, 3.0829e-01],\n", + " [1.9944e-01, 5.2352e-01],\n", + " [9.7808e-01, 3.4719e-01],\n", + " [8.0171e-01, 7.6197e-01],\n", + " [8.3619e-01, 6.5704e-01],\n", + " [4.0962e-01, 5.8068e-01]],\n", + "\n", + " [[4.5014e-01, 7.3318e-01],\n", + " [7.9176e-01, 6.7069e-02],\n", + " [4.5254e-01, 8.7565e-01],\n", + " [7.4388e-01, 7.7005e-01],\n", + " [9.4230e-01, 5.1232e-01],\n", + " [8.7028e-01, 2.3464e-02],\n", + " [4.0940e-01, 7.8347e-01],\n", + " [2.0379e-01, 4.3769e-01],\n", + " [6.8930e-01, 9.6152e-01],\n", + " [6.7929e-01, 9.2723e-02],\n", + " [4.3327e-01, 7.6545e-01],\n", + " [4.5407e-01, 2.1335e-01],\n", + " [2.9362e-01, 4.4425e-01],\n", + " [1.8856e-01, 5.8941e-01],\n", + " [9.7709e-01, 9.9070e-01],\n", + " [4.7245e-01, 5.6658e-01],\n", + " [2.7927e-01, 6.8328e-01],\n", + " [1.1336e-01, 1.0444e-01],\n", + " [1.1791e-02, 9.6338e-01],\n", + " [4.3338e-01, 6.6359e-01]]])" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample[0]['tile_catalog']['locs'].reshape((20,20,2))" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "17a33174", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[[1.1298e+00, 2.2163e-01, 6.6308e-01, 5.5859e-01, 5.8898e-01],\n", + " [1.7438e+00, 1.1315e-01, 7.4472e-01, 8.8525e-01, 1.1592e+00],\n", + " [1.6390e+02, 1.0373e+01, 2.1870e+01, 6.5777e+01, 3.1681e+02],\n", + " ...,\n", + " [7.2219e-01, 4.5709e-02, 7.2219e-01, 7.1422e-01, 3.1571e+00],\n", + " [1.6233e+01, 1.6047e+00, 1.1869e+01, 1.2480e+01, 4.0222e+01],\n", + " [1.7914e+00, 1.7872e-01, 1.3451e+00, 4.0250e-01, 2.2587e-01]],\n", + "\n", + " [[2.6617e+00, 2.8251e-01, 1.2244e+00, 1.8591e+00, 1.0407e+00],\n", + " [1.7101e+00, 1.3132e-01, 9.1228e-01, 8.6481e-01, 1.5579e+00],\n", + " [1.2953e+00, 5.4607e-01, 9.7123e-01, 1.2382e+00, 3.3365e+00],\n", + " ...,\n", + " [3.4041e+02, 2.1545e+01, 1.2847e+02, 2.7445e+02, 3.5158e+02],\n", + " [9.3348e-01, 2.6302e-01, 2.5376e+00, 9.2201e-01, 2.3589e+00],\n", + " [4.8252e+01, 1.8164e+01, 6.3793e+01, 3.1326e+01, 7.2289e+01]],\n", + "\n", + " [[6.1292e-01, 1.1947e-01, 1.5629e+00, 1.8419e+00, 1.3271e+01],\n", + " [2.0084e+00, 1.8873e-01, 1.3522e+00, 1.5190e+00, 2.5169e+00],\n", + " [7.6822e-01, 9.3658e-02, 1.4798e+00, 3.9564e-01, 1.0990e+00],\n", + " ...,\n", + " [4.2765e+01, 7.3467e+00, 1.7704e+01, 5.1515e+01, 1.1825e+02],\n", + " [2.1192e+01, 1.0054e+01, 3.0983e+01, 3.8574e+01, 4.2232e+01],\n", + " [1.0311e+01, 1.2585e+00, 1.0341e+01, 3.2843e+00, 1.1519e+01]],\n", + "\n", + " ...,\n", + "\n", + " [[1.0063e+01, 7.7541e+00, 2.0262e+01, 1.7516e+01, 4.2440e+01],\n", + " [2.8227e-01, 4.1840e-01, 1.1195e+00, 1.7367e+00, 4.0264e+00],\n", + " [1.7507e-01, 3.0578e-01, 6.4038e-01, 8.2461e-01, 1.0946e+00],\n", + " ...,\n", + " [8.2276e+00, 5.8415e+00, 1.4209e+01, 1.3577e+01, 2.8473e+01],\n", + " [2.4793e+01, 3.4481e+01, 6.5080e+01, 1.4011e+02, 3.1841e+02],\n", + " [1.0233e+01, 6.9885e+00, 1.9862e+01, 1.8498e+01, 3.3197e+01]],\n", + "\n", + " [[1.8000e+00, 1.0816e+00, 1.6778e+00, 3.0051e+00, 5.5488e+00],\n", + " [4.1828e+00, 3.0856e+00, 1.0888e+01, 1.0544e+01, 2.3196e+01],\n", + " [2.4059e-01, 3.3308e-01, 8.2088e-01, 1.1795e+00, 1.4407e+00],\n", + " ...,\n", + " [4.5130e-01, 3.6076e-01, 9.0894e-01, 8.9876e-01, 2.3088e+00],\n", + " [2.8923e+00, 3.3831e+00, 6.6907e+00, 9.5739e+00, 1.8402e+01],\n", + " [1.4130e+02, 1.7577e+02, 3.1055e+02, 4.0547e+02, 8.1786e+02]],\n", + "\n", + " [[4.3995e-01, 6.6125e-01, 1.4651e+00, 2.8217e+00, 1.0984e+01],\n", + " [4.3279e-01, 8.5961e-01, 1.8924e+00, 1.4492e+00, 3.7109e+00],\n", + " [1.8739e+00, 2.9716e+00, 5.6479e+00, 7.8127e+00, 9.6096e+00],\n", + " ...,\n", + " [7.7239e-01, 1.5697e+00, 2.3019e+00, 4.1082e+00, 6.6206e+00],\n", + " [7.4362e-01, 1.3693e+00, 1.4790e+00, 3.3565e+00, 3.6091e+00],\n", + " [2.3611e+00, 1.2378e+00, 1.5712e+00, 2.3423e+00, 3.8803e+00]]])" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample[0]['tile_catalog']['galaxy_fluxes'].reshape((20,20,5))" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "2134d35e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.],\n", + " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", + " 1., 1.]])" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample[0]['tile_catalog']['source_type'].reshape((20,20))" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "0b5d14ac", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[0.0705, 0.0391, 0.0985, 0.1774, 0.1675, 0.1829, 0.0744, 0.1030, 0.1124,\n", + " 0.2197, 0.0889, 0.1229, 0.0141, 0.1045, 0.0773, 0.1257, 0.0958, 0.1503,\n", + " 0.3914, 0.0794],\n", + " [0.1799, 0.0513, 0.1556, 0.1602, 0.0709, 0.0832, 0.1083, 0.3238, 0.1526,\n", + " 0.0461, 0.4598, 0.1474, 0.0228, 0.3597, 0.0565, 0.0773, 0.0939, 0.0941,\n", + " 0.0645, 0.1128],\n", + " [0.0833, 0.1700, 0.0694, 0.0257, 0.0899, 0.1072, 0.1642, 0.1271, 0.1451,\n", + " 0.0382, 0.1153, 0.0730, 0.0977, 0.5163, 0.4440, 0.2259, 0.1070, 0.4106,\n", + " 0.1061, 0.1030],\n", + " [0.0821, 0.0890, 0.0641, 0.2684, 0.1863, 0.1360, 0.1412, 0.0730, 0.1316,\n", + " 0.1445, 0.1707, 0.1218, 0.0522, 0.1667, 0.0769, 0.1654, 0.3007, 0.1586,\n", + " 0.2861, 0.1675],\n", + " [0.0919, 0.1494, 0.0721, 0.0656, 0.1195, 0.1707, 0.1355, 0.0922, 0.0617,\n", + " 0.2679, 0.4799, 0.0698, 0.4863, 0.0733, 0.1807, 0.1450, 0.0481, 0.0802,\n", + " 0.1774, 0.1101],\n", + " [0.1767, 0.0697, 0.0965, 0.0914, 0.1498, 0.2377, 0.3655, 0.3198, 0.0754,\n", + " 0.1088, 0.1360, 0.2907, 0.3115, 0.2073, 0.0348, 0.0751, 0.1110, 0.0259,\n", + " 0.1493, 0.2077],\n", + " [0.1958, 0.2033, 0.1536, 0.2766, 0.0710, 0.1290, 0.0283, 0.0880, 0.4240,\n", + " 0.2301, 0.0440, 0.1024, 0.0291, 0.0697, 0.1504, 0.1654, 0.1776, 0.4361,\n", + " 0.3734, 0.0198],\n", + " [0.1183, 0.1691, 0.0383, 0.1731, 0.4506, 0.0843, 0.3961, 0.0428, 0.0450,\n", + " 0.1302, 0.0028, 0.0784, 0.0595, 0.0800, 0.0468, 0.0763, 0.4144, 0.0488,\n", + " 0.0618, 0.0269],\n", + " [0.1204, 0.1174, 0.0465, 0.0639, 0.1623, 0.5311, 0.4519, 0.0257, 0.2289,\n", + " 0.1427, 0.3096, 0.3362, 0.3536, 0.2031, 0.1451, 0.0937, 0.0572, 0.0643,\n", + " 0.1403, 0.0832],\n", + " [0.0632, 0.1715, 0.1232, 0.1292, 0.0462, 0.0184, 0.0529, 0.3263, 0.2616,\n", + " 0.0830, 0.1870, 0.1291, 0.1156, 0.0610, 0.1147, 0.0886, 0.0546, 0.0618,\n", + " 0.0755, 0.1586],\n", + " [0.1025, 0.4307, 0.1271, 0.1330, 0.0455, 0.1737, 0.0334, 0.0818, 0.1584,\n", + " 0.1127, 0.2761, 0.1283, 0.0597, 0.3862, 0.2184, 0.1348, 0.3711, 0.0766,\n", + " 0.0741, 0.5930],\n", + " [0.0710, 0.3988, 0.0748, 0.1746, 0.1314, 0.3545, 0.2149, 0.1620, 0.1157,\n", + " 0.2261, 0.0821, 0.0735, 0.1998, 0.4458, 0.0614, 0.0997, 0.0165, 0.3398,\n", + " 0.0661, 0.0139],\n", + " [0.1661, 0.3533, 0.2637, 0.1045, 0.0597, 0.0934, 0.1402, 0.0667, 0.0809,\n", + " 0.1340, 0.0848, 0.1788, 0.0893, 0.1599, 0.1351, 0.0769, 0.1268, 0.0783,\n", + " 0.1153, 0.4685],\n", + " [0.3154, 0.0170, 0.0792, 0.2387, 0.0939, 0.1137, 0.1516, 0.1588, 0.1481,\n", + " 0.1621, 0.0890, 0.0699, 0.0043, 0.2154, 0.0198, 0.1399, 0.1275, 0.0612,\n", + " 0.0951, 0.2211],\n", + " [0.1100, 0.0357, 0.0645, 0.0507, 0.0560, 0.0270, 0.0491, 0.1283, 0.1378,\n", + " 0.3320, 0.1169, 0.1606, 0.1508, 0.1369, 0.0864, 0.0717, 0.6476, 0.1009,\n", + " 0.0275, 0.0833],\n", + " [0.0491, 0.1261, 0.0249, 0.1047, 0.0291, 0.0424, 0.0761, 0.0906, 0.0679,\n", + " 0.1532, 0.0412, 0.4075, 0.2114, 0.0914, 0.1013, 0.1406, 0.2754, 0.0916,\n", + " 0.2888, 0.1400],\n", + " [0.0995, 0.1726, 0.1069, 0.3474, 0.1189, 0.3810, 0.1886, 0.2197, 0.1209,\n", + " 0.1468, 0.1366, 0.0333, 0.3024, 0.0908, 0.0915, 0.1559, 0.0753, 0.1015,\n", + " 0.0395, 0.0386],\n", + " [0.1616, 0.0811, 0.0568, 0.1368, 0.1472, 0.2158, 0.1338, 0.1540, 0.3219,\n", + " 0.4938, 0.0969, 0.3365, 0.1079, 0.0365, 0.1885, 0.2283, 0.1519, 0.0987,\n", + " 0.0834, 0.1409],\n", + " [0.3236, 0.1372, 0.2676, 0.1871, 0.1269, 0.1038, 0.1407, 0.4285, 0.0812,\n", + " 0.0765, 0.0635, 0.1473, 0.1698, 0.1727, 0.3984, 0.0527, 0.0890, 0.0399,\n", + " 0.0277, 0.0864],\n", + " [0.1789, 0.1670, 0.2067, 0.0950, 0.0520, 0.1255, 0.1045, 0.0225, 0.1758,\n", + " 0.1109, 0.1200, 0.0876, 0.1444, 0.0946, 0.1153, 0.3219, 0.0899, 0.1101,\n", + " 0.1549, 0.1496]])" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample[5]['tile_catalog']['redshifts'].reshape((20,20))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9aaa5629", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/other/playground.ipynb b/case_studies/redshift_estimation/notebooks/other/playground.ipynb new file mode 100644 index 000000000..b9c4a25b6 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/other/playground.ipynb @@ -0,0 +1,2010 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8d019302", + "metadata": {}, + "source": [ + "### Generating images from RedshiftTileCatalog, working with VariationalDist and VariationalDistSpec Objects" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2fd4a829", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "\n", + "os.getcwd()\n", + "\n", + "os.chdir('/home/declan/current/bliss')\n", + "\n", + "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", + "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", + "import torch\n", + "import numpy as np\n", + "from os import environ\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from hydra.utils import instantiate\n", + "import matplotlib.pyplot as plt\n", + "from omegaconf import DictConfig, OmegaConf\n", + "from bliss.catalog import TileCatalog\n", + "\n", + "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", + "with initialize(config_path=\".\", version_base=None):\n", + " cfg = compose(\"redshift\", overrides={\"surveys.sdss.load_image_data=true\"})\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8290b4e3", + "metadata": {}, + "outputs": [], + "source": [ + "simulator = instantiate(cfg.simulator)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dbb48659", + "metadata": {}, + "outputs": [], + "source": [ + "type(simulator)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d066f48", + "metadata": {}, + "outputs": [], + "source": [ + "prior = simulator.catalog_prior" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0b70b191", + "metadata": {}, + "outputs": [], + "source": [ + "prior" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3263c59e", + "metadata": {}, + "outputs": [], + "source": [ + "yo = simulator.catalog_prior.sample()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1a8daf6", + "metadata": {}, + "outputs": [], + "source": [ + "yo" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "598cbec4", + "metadata": {}, + "outputs": [], + "source": [ + "vars(yo).keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6bf003a7", + "metadata": {}, + "outputs": [], + "source": [ + "yo['data'].keys()" + ] + }, + { + "cell_type": "markdown", + "id": "19269d4f", + "metadata": {}, + "source": [ + "Let's try to generate actual data using a RedshiftTileCatalog. All we have to do (for now) is plug in to the existing infrastructure and ignore `RedshiftTileCatalog.redshifts`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7986d28d", + "metadata": {}, + "outputs": [], + "source": [ + "cfg.generate" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "08f7ef6a", + "metadata": {}, + "outputs": [], + "source": [ + "cfg.paths.data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d8c9dd9e", + "metadata": {}, + "outputs": [], + "source": [ + "simulated_dataset = instantiate(cfg.simulator, num_workers=0)\n", + "test_batch = simulated_dataset.get_batch()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d74a6155", + "metadata": {}, + "outputs": [], + "source": [ + "test_batch.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e8422793", + "metadata": {}, + "outputs": [], + "source": [ + "test_batch['tile_catalog'].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "499158f2", + "metadata": {}, + "outputs": [], + "source": [ + "test_batch['tile_catalog']['redshifts'].shape" + ] + }, + { + "cell_type": "markdown", + "id": "c56b2588", + "metadata": {}, + "source": [ + "### TODO: Change shape of redshifts (what should they be)?\n", + "### TODO: Make redshifts an attribute of RedshiftTileCatalog (currently hidden in .data)" + ] + }, + { + "cell_type": "markdown", + "id": "25658787", + "metadata": {}, + "source": [ + "# Playing Around With VarDist and VarDistSpec" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "774b89df", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "\n", + "os.getcwd()\n", + "\n", + "os.chdir('/home/declan/current/bliss')\n", + "\n", + "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", + "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", + "import torch\n", + "import numpy as np\n", + "from os import environ\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from hydra.utils import instantiate\n", + "import matplotlib.pyplot as plt\n", + "from omegaconf import DictConfig, OmegaConf\n", + "from bliss.catalog import TileCatalog\n", + "\n", + "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", + "with initialize(config_path=\".\", version_base=None):\n", + " cfg = compose(\"non_redshift\", overrides={\"surveys.sdss.load_image_data=true\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "bf56d51c", + "metadata": {}, + "outputs": [], + "source": [ + "simulator = instantiate(cfg.simulator)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bfab1c97", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bliss.simulator.simulated_dataset.SimulatedDataset" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(simulator)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "2a5a1990", + "metadata": {}, + "outputs": [], + "source": [ + "test_batch = simulator.get_batch()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "83c9732a", + "metadata": {}, + "outputs": [], + "source": [ + "from bliss.encoder.variational_dist import VariationalDist, VariationalDistSpec" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "4ebb326b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['tile_catalog', 'images', 'background', 'deconvolution', 'psf_params'])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_batch.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "60721a64", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes'])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_batch['tile_catalog'].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ad66f860", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 5, 80, 80])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_batch['images'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "d1893a3a", + "metadata": {}, + "outputs": [], + "source": [ + "vds = VariationalDistSpec(cfg.prior.survey_bands, cfg.prior.tile_slen)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2da91014", + "metadata": {}, + "outputs": [ + { + "ename": "RuntimeError", + "evalue": "split_with_sizes expects split_sizes to sum exactly to 80 (input tensor's size at dimension 3), but got split_sizes=[1, 4, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[13], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m vd \u001b[38;5;241m=\u001b[39m \u001b[43mvds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmake_dist\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtest_batch\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mimages\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/current/bliss/bliss/encoder/variational_dist.py:55\u001b[0m, in \u001b[0;36mVariationalDistSpec.make_dist\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 52\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmake_dist\u001b[39m(\u001b[38;5;28mself\u001b[39m, x_cat):\n\u001b[1;32m 53\u001b[0m \u001b[38;5;66;03m# override this method to instantiate a subclass of VariationalGrid, e.g.,\u001b[39;00m\n\u001b[1;32m 54\u001b[0m \u001b[38;5;66;03m# one with additional distribution parameter groups\u001b[39;00m\n\u001b[0;32m---> 55\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_parse_factors\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m VariationalDist(factors, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msurvey_bands, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtile_slen)\n", + "File \u001b[0;32m~/current/bliss/bliss/encoder/variational_dist.py:43\u001b[0m, in \u001b[0;36mVariationalDistSpec._parse_factors\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 41\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_parse_factors\u001b[39m(\u001b[38;5;28mself\u001b[39m, x_cat):\n\u001b[1;32m 42\u001b[0m split_sizes \u001b[38;5;241m=\u001b[39m [v\u001b[38;5;241m.\u001b[39mdim \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfactor_specs\u001b[38;5;241m.\u001b[39mvalues()]\n\u001b[0;32m---> 43\u001b[0m dist_params_split \u001b[38;5;241m=\u001b[39m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msplit_sizes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 44\u001b[0m names \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfactor_specs\u001b[38;5;241m.\u001b[39mkeys()\n\u001b[1;32m 45\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\u001b[38;5;28mzip\u001b[39m(names, dist_params_split))\n", + "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/functional.py:189\u001b[0m, in \u001b[0;36msplit\u001b[0;34m(tensor, split_size_or_sections, dim)\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m handle_torch_function(\n\u001b[1;32m 184\u001b[0m split, (tensor,), tensor, split_size_or_sections, dim\u001b[38;5;241m=\u001b[39mdim)\n\u001b[1;32m 185\u001b[0m \u001b[38;5;66;03m# Overwriting reason:\u001b[39;00m\n\u001b[1;32m 186\u001b[0m \u001b[38;5;66;03m# This dispatches to two ATen functions depending on the type of\u001b[39;00m\n\u001b[1;32m 187\u001b[0m \u001b[38;5;66;03m# split_size_or_sections. The branching code is in _tensor.py, which we\u001b[39;00m\n\u001b[1;32m 188\u001b[0m \u001b[38;5;66;03m# call here.\u001b[39;00m\n\u001b[0;32m--> 189\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtensor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43msplit_size_or_sections\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/_tensor.py:803\u001b[0m, in \u001b[0;36mTensor.split\u001b[0;34m(self, split_size, dim)\u001b[0m\n\u001b[1;32m 801\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m torch\u001b[38;5;241m.\u001b[39m_VF\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;28mself\u001b[39m, split_size, dim) \u001b[38;5;66;03m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[1;32m 802\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 803\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_VF\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit_with_sizes\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msplit_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[0;31mRuntimeError\u001b[0m: split_with_sizes expects split_sizes to sum exactly to 80 (input tensor's size at dimension 3), but got split_sizes=[1, 4, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]" + ] + } + ], + "source": [ + "vd = vds.make_dist(test_batch['images'])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "3c5f375b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 5, 80, 80])" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_batch['images'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "133ecb30", + "metadata": {}, + "outputs": [], + "source": [ + "split_sizes = [v.dim for v in vds.factor_specs.values()]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "6ff7af6f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[1, 4, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "split_sizes" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "51532ddd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "38" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(split_sizes)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "bc8de153", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Encoder(\n", + " (metrics): CatalogMetrics()\n", + " (image_normalizer): ImageNormalizer()\n", + " (features_net): FeaturesNet(\n", + " (preprocess3d): Sequential(\n", + " (0): Conv3d(5, 64, kernel_size=(6, 5, 5), stride=(1, 1, 1), padding=(0, 2, 2))\n", + " (1): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (2): SiLU()\n", + " )\n", + " (backbone): Sequential(\n", + " (0): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (1): Sequential(\n", + " (0): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (3): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): ConvBlock(\n", + " (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (3): Sequential(\n", + " (0): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (3): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (4): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (4): ConvBlock(\n", + " (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " (marginal_net): CatalogNet(\n", + " (net_ml): ModuleList(\n", + " (0): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (3): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (4): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (5): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (3): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (4): Upsample(scale_factor=2.0, mode='nearest')\n", + " (5): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (6): Detect(\n", + " (conv): Conv2d(256, 38, kernel_size=(1, 1), stride=(1, 1))\n", + " )\n", + " )\n", + " )\n", + " (checkerboard_net): ContextNet(\n", + " (encode_context): Sequential(\n", + " (0): ConvBlock(\n", + " (conv): Conv2d(2, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (merge): ConvBlock(\n", + " (conv): Conv2d(320, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (catalog_net): CatalogNet(\n", + " (net_ml): ModuleList(\n", + " (0): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (3): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (4): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (5): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (3): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (4): Upsample(scale_factor=2.0, mode='nearest')\n", + " (5): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (6): Detect(\n", + " (conv): Conv2d(256, 38, kernel_size=(1, 1), stride=(1, 1))\n", + " )\n", + " )\n", + " )\n", + " )\n", + ")" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "encoder = instantiate(cfg.train.encoder)\n", + "encoder" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "80da4929", + "metadata": {}, + "outputs": [], + "source": [ + "target_cat = TileCatalog(encoder.tile_slen, test_batch[\"tile_catalog\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "13ac25e6", + "metadata": {}, + "outputs": [], + "source": [ + "# filter out undetectable sources\n", + "if encoder.min_flux_threshold > 0:\n", + " target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + " \n", + "# make predictions/inferences\n", + "target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)\n", + "truth_callback = lambda _: target_cat1\n", + "pred = encoder.infer(test_batch, truth_callback)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "b6ada63e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['marginal', 'white', 'black', 'history_cat', 'x_features', 'white_history_mask'])" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "a1c6b505", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 256, 20, 20])" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred['x_features'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "8a2b096f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "TileCatalog(64 x 20 x 20)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred['history_cat']" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "6ec78fe6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 20, 20, 1, 2])" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_batch['tile_catalog']['locs'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "5be791fb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'on_prob': Categorical(probs: torch.Size([64, 20, 20, 2])),\n", + " 'loc': TruncatedDiagonalMVN(Normal(loc: torch.Size([64, 20, 20, 2]), scale: torch.Size([64, 20, 20, 2]))),\n", + " 'galaxy_prob': Categorical(probs: torch.Size([64, 20, 20, 2])),\n", + " 'galsim_disk_frac': TransformedDistribution(),\n", + " 'galsim_beta_radians': TransformedDistribution(),\n", + " 'galsim_disk_q': TransformedDistribution(),\n", + " 'galsim_a_d': LogNormal(),\n", + " 'galsim_bulge_q': TransformedDistribution(),\n", + " 'galsim_a_b': LogNormal(),\n", + " 'star_flux_u': LogNormal(),\n", + " 'star_flux_g': LogNormal(),\n", + " 'star_flux_r': LogNormal(),\n", + " 'star_flux_i': LogNormal(),\n", + " 'star_flux_z': LogNormal(),\n", + " 'galaxy_flux_u': LogNormal(),\n", + " 'galaxy_flux_g': LogNormal(),\n", + " 'galaxy_flux_r': LogNormal(),\n", + " 'galaxy_flux_i': LogNormal(),\n", + " 'galaxy_flux_z': LogNormal()}" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred['marginal'].pred" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "def4c418", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "LogNormal()" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred['marginal'].pred['galaxy_flux_z']" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "4eab7f01", + "metadata": {}, + "outputs": [], + "source": [ + "yo = pred['marginal'].pred['on_prob']" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "fe856ec8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['probs', '_param', '_num_events', '_batch_shape', '_event_shape'])" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vars(yo).keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "277acc0a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 20, 20])" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "yo.batch_shape" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "f0485ccd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([])" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "yo.event_shape" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "931bf62c", + "metadata": {}, + "outputs": [], + "source": [ + "x_features = encoder.get_features(test_batch)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "d77b3cd8", + "metadata": {}, + "outputs": [], + "source": [ + "x_cat_marginal = encoder.marginal_net(x_features)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "ebbd8a3b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 20, 20, 38])" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x_cat_marginal.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "71128c6f", + "metadata": {}, + "outputs": [], + "source": [ + "vd = vds.make_dist(x_cat_marginal)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "3202d682", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "VariationalDist()" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vd" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b5fc4e39", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e424e88", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "35c47898", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a37c73b4", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "8f57c397", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'transforms': [ExpTransform()],\n", + " 'base_dist': Normal(loc: torch.Size([64, 20, 20]), scale: torch.Size([64, 20, 20])),\n", + " '_batch_shape': torch.Size([64, 20, 20]),\n", + " '_event_shape': torch.Size([]),\n", + " '_validate_args': False}" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vars(pred['marginal'].pred['galaxy_flux_z'])" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "c4b87c8d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred['marginal'].pred['loc'].base_dist._event_shape[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7d41f5fc", + "metadata": {}, + "outputs": [], + "source": [ + "pred['marginal'].pred['galsim_a" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "38c07779", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([])" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred['marginal'].pred['galsim_a_d'].base_dist._event_shape" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "ce5b3429", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "on_prob\n", + "1\n", + "loc\n", + "2\n", + "galaxy_prob\n", + "1\n", + "galsim_disk_frac\n", + "1\n", + "galsim_beta_radians\n", + "1\n", + "galsim_disk_q\n", + "1\n", + "galsim_a_d\n", + "1\n", + "galsim_bulge_q\n", + "1\n", + "galsim_a_b\n", + "1\n", + "star_flux_u\n", + "1\n", + "star_flux_g\n", + "1\n", + "star_flux_r\n", + "1\n", + "star_flux_i\n", + "1\n", + "star_flux_z\n", + "1\n", + "galaxy_flux_u\n", + "1\n", + "galaxy_flux_g\n", + "1\n", + "galaxy_flux_r\n", + "1\n", + "galaxy_flux_i\n", + "1\n", + "galaxy_flux_z\n", + "1\n" + ] + } + ], + "source": [ + "total = 0\n", + "for key, value in pred['marginal'].pred.items():\n", + " print(key)\n", + " try:\n", + " dim = pred['marginal'].pred[key].base_dist._event_shape[-1]\n", + " except:\n", + " dim = 1\n", + " total += dim\n", + " print(dim)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "92512c75", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "20" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "total" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9b3f1471", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "6e0637b9", + "metadata": {}, + "outputs": [ + { + "ename": "RuntimeError", + "evalue": "split_with_sizes expects split_sizes to sum exactly to 20 (input tensor's size at dimension 3), but got split_sizes=[1, 4, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[31], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m vd \u001b[38;5;241m=\u001b[39m \u001b[43mvds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmake_dist\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpred\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mx_features\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/current/bliss/bliss/encoder/variational_dist.py:55\u001b[0m, in \u001b[0;36mVariationalDistSpec.make_dist\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 52\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmake_dist\u001b[39m(\u001b[38;5;28mself\u001b[39m, x_cat):\n\u001b[1;32m 53\u001b[0m \u001b[38;5;66;03m# override this method to instantiate a subclass of VariationalGrid, e.g.,\u001b[39;00m\n\u001b[1;32m 54\u001b[0m \u001b[38;5;66;03m# one with additional distribution parameter groups\u001b[39;00m\n\u001b[0;32m---> 55\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_parse_factors\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m VariationalDist(factors, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msurvey_bands, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtile_slen)\n", + "File \u001b[0;32m~/current/bliss/bliss/encoder/variational_dist.py:43\u001b[0m, in \u001b[0;36mVariationalDistSpec._parse_factors\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 41\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_parse_factors\u001b[39m(\u001b[38;5;28mself\u001b[39m, x_cat):\n\u001b[1;32m 42\u001b[0m split_sizes \u001b[38;5;241m=\u001b[39m [v\u001b[38;5;241m.\u001b[39mdim \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfactor_specs\u001b[38;5;241m.\u001b[39mvalues()]\n\u001b[0;32m---> 43\u001b[0m dist_params_split \u001b[38;5;241m=\u001b[39m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msplit_sizes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 44\u001b[0m names \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfactor_specs\u001b[38;5;241m.\u001b[39mkeys()\n\u001b[1;32m 45\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\u001b[38;5;28mzip\u001b[39m(names, dist_params_split))\n", + "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/functional.py:189\u001b[0m, in \u001b[0;36msplit\u001b[0;34m(tensor, split_size_or_sections, dim)\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m handle_torch_function(\n\u001b[1;32m 184\u001b[0m split, (tensor,), tensor, split_size_or_sections, dim\u001b[38;5;241m=\u001b[39mdim)\n\u001b[1;32m 185\u001b[0m \u001b[38;5;66;03m# Overwriting reason:\u001b[39;00m\n\u001b[1;32m 186\u001b[0m \u001b[38;5;66;03m# This dispatches to two ATen functions depending on the type of\u001b[39;00m\n\u001b[1;32m 187\u001b[0m \u001b[38;5;66;03m# split_size_or_sections. The branching code is in _tensor.py, which we\u001b[39;00m\n\u001b[1;32m 188\u001b[0m \u001b[38;5;66;03m# call here.\u001b[39;00m\n\u001b[0;32m--> 189\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtensor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43msplit_size_or_sections\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/_tensor.py:803\u001b[0m, in \u001b[0;36mTensor.split\u001b[0;34m(self, split_size, dim)\u001b[0m\n\u001b[1;32m 801\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m torch\u001b[38;5;241m.\u001b[39m_VF\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;28mself\u001b[39m, split_size, dim) \u001b[38;5;66;03m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[1;32m 802\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 803\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_VF\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit_with_sizes\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msplit_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[0;31mRuntimeError\u001b[0m: split_with_sizes expects split_sizes to sum exactly to 20 (input tensor's size at dimension 3), but got split_sizes=[1, 4, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]" + ] + } + ], + "source": [ + "vd = vds.make_dist(pred['x_features'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3ef36460", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "deb233fa", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "29d1122c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "24f9d82c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8541ae72", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3b0a8a41", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "96916045", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "22c63a80", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "67c46455", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da9f1cab", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0b54c04f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "9b9b4ec8", + "metadata": {}, + "source": [ + "#### Below is first playing around, working with my config a bit. Trying to generate redshifts (dummy)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8163d060", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2122d016", + "metadata": {}, + "outputs": [], + "source": [ + "os.getcwd()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "081900bd", + "metadata": {}, + "outputs": [], + "source": [ + "os.chdir('/home/declan/current/bliss')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bc70a764", + "metadata": {}, + "outputs": [], + "source": [ + "sys.path.append('./case_studies/redshift')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "04657ad2", + "metadata": {}, + "outputs": [], + "source": [ + "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", + "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73cf562f", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from os import environ\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from hydra.utils import instantiate\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c071ab00", + "metadata": {}, + "outputs": [], + "source": [ + "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", + "with initialize(config_path=\".\", version_base=None):\n", + " cfg = compose(\"redshift\", overrides={\"surveys.sdss.load_image_data=true\"})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8451051f", + "metadata": {}, + "outputs": [], + "source": [ + "cfg.simulator" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73ec8a9f", + "metadata": {}, + "outputs": [], + "source": [ + "simulator = instantiate(cfg.simulator)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7e6607ff", + "metadata": {}, + "outputs": [], + "source": [ + "simulator" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "de1a185d", + "metadata": {}, + "outputs": [], + "source": [ + "vars(simulator)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "85d45e85", + "metadata": {}, + "outputs": [], + "source": [ + "simulator.catalog_prior.redshift_max" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "04e6d566", + "metadata": {}, + "outputs": [], + "source": [ + "simulator.catalog_prior.galaxy_flux_min" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d932c994", + "metadata": {}, + "outputs": [], + "source": [ + "simulator.catalog_prior._sample_redshifts().shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "09cc40a1", + "metadata": {}, + "outputs": [], + "source": [ + "yo = simulator.catalog_prior.sample()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "51ad9774", + "metadata": {}, + "outputs": [], + "source": [ + "yo.redshifts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8171314f", + "metadata": {}, + "outputs": [], + "source": [ + "type(yo)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4acc01d5", + "metadata": {}, + "outputs": [], + "source": [ + "yo.n_sources.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a93f7bae", + "metadata": {}, + "outputs": [], + "source": [ + "yo.__getitem__(\"redshifts\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "47c21b70", + "metadata": {}, + "outputs": [], + "source": [ + "yo.allowed_params" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "161ee844", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1c2eb17e", + "metadata": {}, + "outputs": [], + "source": [ + "simulator = instantiate(cfg.simulator)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "95f8a3cb", + "metadata": {}, + "outputs": [], + "source": [ + "tc = simulator.catalog_prior.sample()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6959eb0c", + "metadata": {}, + "outputs": [], + "source": [ + "tc" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec38c173", + "metadata": {}, + "outputs": [], + "source": [ + "vars(tc).keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cf8e76c6", + "metadata": {}, + "outputs": [], + "source": [ + "tc.n_sources.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d94d67fd", + "metadata": {}, + "outputs": [], + "source": [ + "tc.n_tiles_h" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a3186aaf", + "metadata": {}, + "outputs": [], + "source": [ + "tc.n_sources[0][0][0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3c18b517", + "metadata": {}, + "outputs": [], + "source": [ + "tc.tile_slen" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d959092", + "metadata": {}, + "outputs": [], + "source": [ + "tc.data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "52b048db", + "metadata": {}, + "outputs": [], + "source": [ + "tc.data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b7923072", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/redshift_specific/1-PriorConstruction.ipynb b/case_studies/redshift_estimation/notebooks/redshift_specific/1-PriorConstruction.ipynb new file mode 100644 index 000000000..4d3fb6465 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/redshift_specific/1-PriorConstruction.ipynb @@ -0,0 +1,682 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2080fafc", + "metadata": {}, + "source": [ + "# Prior Construction For Photo-z" + ] + }, + { + "cell_type": "markdown", + "id": "370d59ee", + "metadata": {}, + "source": [ + "As mentioned in the review document, we construct two priors on redshift and photometry based on SDSS and DC2 data." + ] + }, + { + "cell_type": "markdown", + "id": "fc778123", + "metadata": {}, + "source": [ + "### Data Gathering - SDSS" + ] + }, + { + "cell_type": "markdown", + "id": "972b856e", + "metadata": {}, + "source": [ + "The SDSS data needs to be gathered from online. This is accomplished by running the script `get_redshift.py`. As you will see if you read the script, this results in a file called `photometric_data.csv` containing object ids, flux magnitudes, and redshifts, and also the object type." + ] + }, + { + "cell_type": "markdown", + "id": "7023e94d", + "metadata": {}, + "source": [ + "This `photometric_data.csv` file was then cleaned (if necessary), and split into two files `STAR.csv` and `GALAXY.csv`. To make the problem easier, for the URPS project we only generated galaxies, not stars. You can investigate the class `RedshiftCSVPriorSDSS` in `prior.py` to see the corresponding prior class, that reads in `GALAXY.csv`. This class samples redshifts and photometry by picking rows at random from `GALAXY.csv`. " + ] + }, + { + "cell_type": "markdown", + "id": "039610e3", + "metadata": {}, + "source": [ + "**The current location for all files mentioned above is `/data/scratch/declan`**." + ] + }, + { + "cell_type": "markdown", + "id": "c8c2a9ae", + "metadata": {}, + "source": [ + "##### TODO: Write additional data wrangling scripts to generate `STAR.csv` and `GALAXY.CSV`. Currently these don't exist. Organize all wrangling files including `get_redshift.py`." + ] + }, + { + "cell_type": "markdown", + "id": "f6f6bbb9", + "metadata": {}, + "source": [ + "### Data Gathering - DC2" + ] + }, + { + "cell_type": "markdown", + "id": "9910ad8e", + "metadata": {}, + "source": [ + "Fortunately, the DC2 data are already stored on the server. The cells below illustrate how one can access the \"truth tables\" that contain the redshifts and photometry." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "1cd4643b", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import math\n", + "import numpy as np\n", + "import torch\n", + "import pandas as pd\n", + "import GCRCatalogs\n", + "from GCR import GCRQuery" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "596ad137", + "metadata": {}, + "outputs": [], + "source": [ + "# Command line: within virtual environment run \n", + "# python -m pip install https://github.com/LSSTDESC/gcr-catalogs/archive/v1.4.0.tar.gz#egg=GCRCatalogs[full]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "0bbe8983", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/nfs/turbo/lsa-regier/'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier/')\n", + "GCRCatalogs.get_root_dir()\n", + "# need to do this in accordance with instructions at https://data.lsstdesc.org/doc/install_gcr" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c537a3b4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['desc_cosmodc2',\n", + " 'desc_dc2_run2.2i_dr6_object',\n", + " 'desc_dc2_run2.2i_dr6_object_with_truth_match',\n", + " 'desc_dc2_run2.2i_dr6_truth',\n", + " 'desc_dc2_run2.2i_truth_galaxy_summary',\n", + " 'desc_dc2_run2.2i_truth_sn_summary',\n", + " 'desc_dc2_run2.2i_truth_sn_variability',\n", + " 'desc_dc2_run2.2i_truth_star_summary',\n", + " 'desc_dc2_run2.2i_truth_star_variability']" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# List of public catalog names\n", + "GCRCatalogs.get_public_catalog_names()" + ] + }, + { + "cell_type": "markdown", + "id": "8dbb5fde", + "metadata": {}, + "source": [ + "We're generally going to be interested in the truth files, which we know will have redshift and photometry values for us to use. Let's load a truth file and examine the fields we have available to us. We can explore relevant fields." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ae688087", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['flux_g',\n", + " 'cosmodc2_hp',\n", + " 'mag_i',\n", + " 'patch',\n", + " 'mag_y',\n", + " 'flux_u',\n", + " 'tract',\n", + " 'dec',\n", + " 'flux_r',\n", + " 'av',\n", + " 'id',\n", + " 'redshift',\n", + " 'rv',\n", + " 'cosmodc2_id',\n", + " 'ra',\n", + " 'match_objectId',\n", + " 'is_unique_truth_entry',\n", + " 'flux_y',\n", + " 'mag_g',\n", + " 'is_nearest_neighbor',\n", + " 'host_galaxy',\n", + " 'mag_z',\n", + " 'is_good_match',\n", + " 'flux_i',\n", + " 'truth_type',\n", + " 'match_sep',\n", + " 'flux_z',\n", + " 'mag_r',\n", + " 'mag_u',\n", + " 'id_string']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_cat = GCRCatalogs.load_catalog('desc_dc2_run2.2i_dr6_truth')\n", + "truth_cat.list_all_quantities()" + ] + }, + { + "cell_type": "markdown", + "id": "f0b2872a", + "metadata": {}, + "source": [ + "First let's reload all relevant quantities from the truth catalog we're familiar with.\n", + "\n", + "**The cell below will take a long time to run.**" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "650a6ce1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished flux_u\n", + "Finished flux_g\n", + "Finished flux_r\n", + "Finished flux_i\n", + "Finished flux_z\n", + "Finished flux_y\n", + "Finished mag_u\n", + "Finished mag_g\n", + "Finished mag_r\n", + "Finished mag_i\n", + "Finished mag_z\n", + "Finished mag_y\n", + "Finished truth_type\n", + "Finished redshift\n", + "Finished id\n", + "Finished match_objectId\n", + "Finished cosmodc2_id\n", + "Finished id_string\n" + ] + } + ], + "source": [ + "all_truth_data = {}\n", + "quantities = [\"flux_u\", \"flux_g\", \"flux_r\", \"flux_i\", \"flux_z\", \"flux_y\",\n", + " \"mag_u\", \"mag_g\", \"mag_r\", \"mag_i\", \"mag_z\", \"mag_y\",\n", + " \"truth_type\", \"redshift\",\n", + " \"id\", \"match_objectId\", \"cosmodc2_id\", \"id_string\"]\n", + "for q in quantities:\n", + " this_field = truth_cat.get_quantities([q])\n", + " all_truth_data[q] = this_field[q]\n", + " print('Finished {}'.format(q))\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "0dff9cbc", + "metadata": {}, + "outputs": [], + "source": [ + "truth_data = pd.DataFrame(all_truth_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "180c0994", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(764026213, 18)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "a5e264f6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
flux_uflux_gflux_rflux_iflux_zflux_ymag_umag_gmag_rmag_imag_zmag_ytruth_typeredshiftidmatch_objectIdcosmodc2_idid_string
05678.7089845577.5175786334.5024418848.51562515267.94726619116.74023422.01437822.03389721.89571821.53282420.94055020.69646811.05046810940305839119759064195403431094030583910940305839
1146.5180211341.1317145984.99462912850.58105518818.28320322972.25000025.98527523.58132221.95734021.12769720.71355120.49699410.47481910937870093119759064195412061093787009310937870093
2134.074341272.126617766.9030152072.0495612690.3303223052.68896526.08163825.31307424.18814823.10899922.82548722.68829310.75903611563663598119760438584934411156366359811563663598
3932.0081181224.2807622598.8271486678.4086919719.28027311019.93750023.97645223.68029822.86305621.83831821.43091421.29455410.80850210938869183119760438584934431093886918310938869183
435.554699104.535225462.3018491221.9360352384.8063962966.53906227.52275826.35184524.73768623.68238122.95636922.71937610.84929811564005688119760438584937371156400568811564005688
5577.276917648.449158943.1256102090.3359382522.6767582646.65112324.49654024.37031023.96357723.09946122.89534622.84325810.82261411563831110119760438584937381156383111011563831110
6893.910278838.389343976.0228881568.7298582002.0577392065.45996124.02176724.09138723.92635223.41113123.14630923.11245910.92938011564445231119760438584937391156444523111564445231
7610.097229828.8851931807.4377442516.5556642857.0297853111.17724624.43650424.10376523.25734122.89798522.76021222.66769010.51786411562943167119760438584937401156294316711562943167
8607.9747921396.3231202972.8225103748.6533204305.6293954791.28271524.44028923.53753722.71707722.46531322.31490922.19887010.30716410937620679119760438584937411093762067910937620679
9287.352844495.0523681347.4246831959.8701172078.4250492199.09472725.25396324.66337423.57624123.16943223.10566323.04439210.57274611563034476119760438584937421156303447611563034476
\n", + "
" + ], + "text/plain": [ + " flux_u flux_g flux_r flux_i flux_z \\\n", + "0 5678.708984 5577.517578 6334.502441 8848.515625 15267.947266 \n", + "1 146.518021 1341.131714 5984.994629 12850.581055 18818.283203 \n", + "2 134.074341 272.126617 766.903015 2072.049561 2690.330322 \n", + "3 932.008118 1224.280762 2598.827148 6678.408691 9719.280273 \n", + "4 35.554699 104.535225 462.301849 1221.936035 2384.806396 \n", + "5 577.276917 648.449158 943.125610 2090.335938 2522.676758 \n", + "6 893.910278 838.389343 976.022888 1568.729858 2002.057739 \n", + "7 610.097229 828.885193 1807.437744 2516.555664 2857.029785 \n", + "8 607.974792 1396.323120 2972.822510 3748.653320 4305.629395 \n", + "9 287.352844 495.052368 1347.424683 1959.870117 2078.425049 \n", + "\n", + " flux_y mag_u mag_g mag_r mag_i mag_z \\\n", + "0 19116.740234 22.014378 22.033897 21.895718 21.532824 20.940550 \n", + "1 22972.250000 25.985275 23.581322 21.957340 21.127697 20.713551 \n", + "2 3052.688965 26.081638 25.313074 24.188148 23.108999 22.825487 \n", + "3 11019.937500 23.976452 23.680298 22.863056 21.838318 21.430914 \n", + "4 2966.539062 27.522758 26.351845 24.737686 23.682381 22.956369 \n", + "5 2646.651123 24.496540 24.370310 23.963577 23.099461 22.895346 \n", + "6 2065.459961 24.021767 24.091387 23.926352 23.411131 23.146309 \n", + "7 3111.177246 24.436504 24.103765 23.257341 22.897985 22.760212 \n", + "8 4791.282715 24.440289 23.537537 22.717077 22.465313 22.314909 \n", + "9 2199.094727 25.253963 24.663374 23.576241 23.169432 23.105663 \n", + "\n", + " mag_y truth_type redshift id match_objectId \\\n", + "0 20.696468 1 1.050468 10940305839 11975906419540343 \n", + "1 20.496994 1 0.474819 10937870093 11975906419541206 \n", + "2 22.688293 1 0.759036 11563663598 11976043858493441 \n", + "3 21.294554 1 0.808502 10938869183 11976043858493443 \n", + "4 22.719376 1 0.849298 11564005688 11976043858493737 \n", + "5 22.843258 1 0.822614 11563831110 11976043858493738 \n", + "6 23.112459 1 0.929380 11564445231 11976043858493739 \n", + "7 22.667690 1 0.517864 11562943167 11976043858493740 \n", + "8 22.198870 1 0.307164 10937620679 11976043858493741 \n", + "9 23.044392 1 0.572746 11563034476 11976043858493742 \n", + "\n", + " cosmodc2_id id_string \n", + "0 10940305839 10940305839 \n", + "1 10937870093 10937870093 \n", + "2 11563663598 11563663598 \n", + "3 10938869183 10938869183 \n", + "4 11564005688 11564005688 \n", + "5 11563831110 11563831110 \n", + "6 11564445231 11564445231 \n", + "7 11562943167 11562943167 \n", + "8 10937620679 10937620679 \n", + "9 11563034476 11563034476 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_data.head(10)" + ] + }, + { + "cell_type": "markdown", + "id": "699e32fc", + "metadata": {}, + "source": [ + "There is excess information above; we really can just focus on the magnitudes, redshifts, and truth-types. Pere the schema below, `truth_type=1` indicates a galaxy, while `truth_type=2` indicates a star.\n", + "\n", + "https://github.com/LSSTDESC/gcr-catalogs/blob/master/GCRCatalogs/SCHEMA.md" + ] + }, + { + "cell_type": "markdown", + "id": "140dea9d", + "metadata": {}, + "source": [ + "Similar to the above for SDSS, we want to filter to galaxies only for now to make the problem easier. We also will have no choice but to reduce the size of the dataset. As you see above, 764 million objects is way too many. The file `dc2_truth_galaxies_mini_clean.csv` does performs the following operations on the dataframe above:\n", + "\n", + " -- Clean if necessary (remove rows with negative redshifts, magnitudes, etc.)\n", + " -- Filter for only galaxies\n", + " -- Consider only a few milllion observations\n", + " \n", + "By investigating the class `RedshiftCSVPriorDC2` in `prior.py`, you can see how this file is used in the DC2 prior. Currently, there is just one copy of this file and not a script to generate it automatically." + ] + }, + { + "cell_type": "markdown", + "id": "0051ffbf", + "metadata": {}, + "source": [ + "##### TODO: write additional wrangling scripts to automate the procedure above to produce the desired csv files. Organize all wrangling scripts. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e5f1b205", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/redshift_specific/2-Training.ipynb b/case_studies/redshift_estimation/notebooks/redshift_specific/2-Training.ipynb new file mode 100644 index 000000000..1c3593d14 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/redshift_specific/2-Training.ipynb @@ -0,0 +1,99 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a3daae5a", + "metadata": {}, + "source": [ + "# Training For Redshifts" + ] + }, + { + "cell_type": "markdown", + "id": "ea7c40d1", + "metadata": {}, + "source": [ + "Training for redshifts is rather straightforward. The `Encoder` in `encoder.py` and the `RedshiftVarDist` and `RedshiftVarDistSpec` in `variational_dist.py` automate the procedure. " + ] + }, + { + "cell_type": "markdown", + "id": "345a86ed", + "metadata": {}, + "source": [ + "**Note how the `RedshiftVarDistSpec` class defines the variational family on redshift to be Gaussian. Future work may be to make this family more expressive, e.g. a mixture of Gaussians.**" + ] + }, + { + "cell_type": "markdown", + "id": "f8a08f39", + "metadata": {}, + "source": [ + "##### TODO: we would prefer to not modify the `encoder.py` file at all. One goal for a student working on this may be to clean up the code so that changes to encoder.py are unneccessary, and all necessary changes are done via `variational_dist.py`." + ] + }, + { + "cell_type": "markdown", + "id": "ab6f3f25", + "metadata": {}, + "source": [ + "### Training for SDSS Prior" + ] + }, + { + "cell_type": "markdown", + "id": "50c05bdb", + "metadata": {}, + "source": [ + "One simply needs to perform the following steps.\n", + "\n", + "1. Generate synthetic data using the prior `RedshiftCSVPriorSDSS`\n", + " - Adjust the prior field in `redshift.yaml`\n", + " - Choose where the data should be stored in `generate.cached_data_path` in `redshift.yaml`.\n", + " - Run `nohup ./scripts/generate_data_in_parallel.sh -n 16 -cp /home/declan/current/bliss/case_studies/redshift_estimation/ -cn redshift.yaml mode=generate &> generate_output.out &` or similar.\n", + " \n", + "2. Train the encoder on the generated data.\n", + " - Make sure you have the prior `generate.cached_data_path` specified. For completeness, make sure prior field is correct too as above. \n", + " - Choose where you want to store encoder weights in `paths.output` in `redshift.yaml`.\n", + " - Run `nohup bliss -cp /home/declan/current/bliss/case_studies/redshift_estimation/ --config-name redshift.yaml mode=train &> training.out &` or similar to train the encoder. The weights will be stored in the checkpoint." + ] + }, + { + "cell_type": "markdown", + "id": "073ddc20", + "metadata": {}, + "source": [ + "### Training for DC2 Prior" + ] + }, + { + "cell_type": "markdown", + "id": "4ea70cfb", + "metadata": {}, + "source": [ + "Exactly the same as above, just make sure you specify correct priors, cached data paths, etc." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/redshift_specific/3-Evaluation.ipynb b/case_studies/redshift_estimation/notebooks/redshift_specific/3-Evaluation.ipynb new file mode 100644 index 000000000..f63c40fc6 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/redshift_specific/3-Evaluation.ipynb @@ -0,0 +1,369 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f928702e", + "metadata": {}, + "source": [ + "# Evaluation" + ] + }, + { + "cell_type": "markdown", + "id": "ef6b1e05", + "metadata": {}, + "source": [ + "We'll perform evaluation for a model trained on SDSS data to illustrate." + ] + }, + { + "cell_type": "markdown", + "id": "b437af38", + "metadata": {}, + "source": [ + "### Semi-Synthetic Data: SDSS" + ] + }, + { + "cell_type": "markdown", + "id": "bb79bfa7", + "metadata": {}, + "source": [ + "Let's look at some images generated in this manner. We plot 10 example images, each in the $u,g,r,i,z$ bands. By default, BLISS chooses the SDSS survey with reference band $r$, and we make no modifications to this." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "d3578c49", + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import numpy as np\n", + "import math\n", + "import os\n", + "import torch\n", + "import pytorch_lightning as pl\n", + "from hydra.utils import instantiate\n", + "import matplotlib.pyplot as plt\n", + "from case_studies.redshift_estimation.catalog import RedshiftFullCatalog, RedshiftTileCatalog\n", + "from bliss.encoder.plotting import plot_detections, my_plot_detections" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "33c107e3", + "metadata": {}, + "outputs": [], + "source": [ + "from os import environ\n", + "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", + "\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from bliss.main import predict\n", + "\n", + "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2827e204", + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=\"../..\", version_base=None):\n", + " cfg = compose(\"redshift\", {})" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8b797d77", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Global seed set to 42\n" + ] + } + ], + "source": [ + "# This cell will take some time to run to load the dataset\n", + "pl.seed_everything(cfg.train.seed)\n", + "\n", + "# setup dataset and encoder\n", + "dataset = instantiate(cfg.train.data_source)\n", + "encoder = instantiate(cfg.train.encoder)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "0baa6a54", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Batch of images is of shape torch.Size([32, 5, 80, 80])\n" + ] + } + ], + "source": [ + "train_dataloader = dataset.train_dataloader() \n", + "batch = next(iter(train_dataloader))\n", + "print('Batch of images is of shape {}'.format(batch['images'].shape))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "b87a36f1", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "n_to_show = 10\n", + "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", + "axs = axs.flatten()\n", + "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", + "for img, ax in zip(imgs, axs):\n", + " ax.imshow(img)\n", + " \n", + "for a in axs:\n", + " a.set_xticklabels([])\n", + " a.set_yticklabels([])\n", + "\n", + "plt.subplots_adjust(wspace=0, hspace=0)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "0891768c", + "metadata": {}, + "source": [ + "### In-Sample Training Results: SDSS" + ] + }, + { + "cell_type": "markdown", + "id": "9aa03613", + "metadata": {}, + "source": [ + "We fit the encoder using the BLISS pipeline. Essentially, photo-$z$ estimation is performed via a module in parallel to the existing pipeline: the current pipeline estimates locations, types, and fluxes of each astronomical object. We simply add outputs to the encoder network that are used to parameterize the variational distributions on redshift.\n", + "\n", + "Currently, the variational distributions on redshift are univariate Gaussian; a mixture of Gaussians could be used in the future. As with other quantities, the per-tile NLL contribution for redshift is conditioned on the presence of a true source in that tile, etc. We leave other aspects of BLISS unchanged, so in addition we also estimate the number of sources, the type of each source, the fluxes and galaxy parameters of each source, etc.\n", + "\n", + "Let's load the fitted encoder and check that we are detecting sources properly. We overlay red \"x\"s on the posterior mode per-tile of the detected source, if a source is detected in that tile. We'll just overlay on top of the r-band image, as we don't have coaddition support for SDSS." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "8d127115", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PATH = \"/home/declan/current/bliss/redshift_output/version_2/checkpoints/best_encoder.ckpt\"\n", + "checkpoint = torch.load(PATH)\n", + "encoder.load_state_dict(checkpoint['state_dict'])" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "8f6bbefc", + "metadata": {}, + "outputs": [], + "source": [ + "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", + "est_cat = est_cat.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "0d71c7cc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot r_band for a selected image, overlay detected source locations\n", + "image_to_show = 5\n", + "fig, ax = plt.subplots()\n", + "ax.imshow(batch['images'][image_to_show].sum(0)) # Coadd by simple summation" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "b029d759", + "metadata": {}, + "outputs": [], + "source": [ + "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", + "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", + "est_cat = encoder.sample(batch, use_mode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "ef07e553", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp = encoder.tiles_to_crop * encoder.tile_slen\n", + "fig = my_plot_detections(image_to_show, batch[\"images\"], target_cat_cropped, est_cat, margin_px=mp, figsize=(6,6))" + ] + }, + { + "cell_type": "markdown", + "id": "c46aa4f0", + "metadata": {}, + "source": [ + "Evidently, we're not doing terribly at predicting sources or their locations; let's assume then that we havne't broken the existing functionality of BLISS. We're interested in the quality of our photometric redshift estimates though. Let's plot these in a scatterplot across the whole training set. This will be quite a dense scatterplot because of the sheer number of images we train on." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "ff8c8535", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi4AAAGiCAYAAADA0E3hAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOy9eXBk93UeerA0uhvdDTT2bYDBLJh9I4ecERfZkkKJec5TlV5VUoqdslyq2Ck7Vso2KxWbsS1HSSzacaxSKpHDipdyUonLSrniPDvSoyzRoiWKFMkhOTOcFTPYdzSWXrD0Crw/Pn88t+90N7qBbqAb+H1VKADdt+/93d+9/TvfPec751Rtbm5uioGBgYGBgYFBBaB6rwdgYGBgYGBgYJAvDHExMDAwMDAwqBgY4mJgYGBgYGBQMTDExcDAwMDAwKBiYIiLgYGBgYGBQcXAEBcDAwMDAwODioEhLgYGBgYGBgYVA0NcDAwMDAwMDCoGhrgYGBgYGBgYVAwMcTEwMDAwMDCoGBRMXL73ve/Jpz/9aenu7paqqir53//7f2/5mddee00ef/xxcTqdcvz4cfnjP/7jbQzVwMDAwMDA4KCjYOKyuroqFy9elK997Wt5bT8yMiJ/7+/9Pfn4xz8u169fl1/8xV+Un/7pn5ZvfetbBQ/WwMDAwMDA4GCjaidNFquqquTP//zP5TOf+UzWbX75l39ZvvGNb8itW7c+fO0f/sN/KMFgUF555ZXtHtrAwMDAwMDgAKK21Ad488035bnnnkt77fnnn5df/MVfzPqZWCwmsVjsw/83NjZkaWlJWlpapKqqqlRDNTAwMDAwMCgiNjc3JRKJSHd3t1RXF0dWW3LiMjs7Kx0dHWmvdXR0SDgclvX1dXG73Y985qWXXpIvfelLpR6agYGBgYGBwS5gYmJCDh06VJR9lZy4bAcvvviivPDCCx/+HwqFpK+vTyYmJqShoaGox1pYEJmaEunpEWltLeyz0ajIyopIba1IMini9Yq4XEUd3o6wk3MzKF/s9Lryvi23+9XAwGD/IRwOS29vr/h8vqLts+TEpbOzU+bm5tJem5ubk4aGhozeFhERp9MpTqfzkdcbGhqKTlzq6kR8PvwUuog3NIi0txd1OEXFTs7NoHyx0+sai4mEQvh8kb9OBgYGBhlRTJlHyYnLU089Jd/85jfTXvv2t78tTz31VKkPnRdcrv1r1PfzuR1k7PS6+nwihw7ht4GBgUGloWClzMrKily/fl2uX78uIkh3vn79uoyPj4sIwjyf+9znPtz+Z3/2Z2V4eFj+xb/4F3Lv3j35vd/7Pfmf//N/yi/90i8V5wwMDAwKgssl0tZmSK2BgUFlomDicu3aNXnsscfkscceExGRF154QR577DH54he/KCIiMzMzH5IYEZEjR47IN77xDfn2t78tFy9elN/93d+VP/iDP5Dnn3++SKewt4hGRQIB/N7pdvnuy2BrmLk0MDAw2J/YUR2X3UI4HJbGxkYJhUJF17jsFIGAyOQkXO9tbTvbLt99GWwNM5cGBgYGe49S2G/Tq2iHyFcvkM92+117sJtekP0+lwYGBgYHFWWZDl3uiEZFIhHN6shHK5DPdrslprWPf7cQiagXpNTHNcJkAwMDg/0J43HZBmiAI5G9Hsn2sFfjN14QAwMDA4OdwnhcCgA9FQ5H/gZ4r7wbubBXBKISvSDleP0MDAwMDjL2ncfFrqOIRkUmJvCzU20FPRWJRP7ppOXonTHpsPmjHK+fgYGBwUHGvvO4RCIiQ0MijY0iR47g/wcPRDY396Zw13Y+Y57yywcmvGVgYGBQXth3xMXnA2kJhdT4DwzoezvBdoiP9TP5EpLdFLEa5EYlhrcMDAwM9jP2FXEhMejqQvM5EoTe3r0eGZAvITFP+QYGBgYGBpmxr4iLlRiUqujYTsI4+RIS85RvYGBgYGCQGftKnFsKT4Vd7FuIWNP+WSOKNTAwMDAw2Bn2FXEpBTGwExWfD2GoaHTrLKVCM1KKUVnW9OgxMDAwMNjP2FfEpRSwe3EYxllY2JqQFOoBKkbq7Vb7MMTGwMDAwKCSsa80LqVAJr1JqbQqxQh1bbUPEpvWVowtl1bHpGUrzFwYGBgYlAeMx2UbKJVWpRj73WofJDYiW3t3TPE1hZkLAwMDg/KA8bhUEIrx1E8vUDSqHpdsMGnZCjMXBgYGBuUBQ1wKRDFDBpn2lWv/xSxMV07dqisBZi4MDAwMygMmVPS3yFe0WsyQQaZ95dp/qZ/6jXA3Nw7y/BzkczcwMCgvGOLyt8iXkBSTPGTaV6792/UrxTYmRseRGwd5fg7yuRsYGJQXTKjob7EXVW2z9THKt+pvoaGjrcJc+czBQc6uOcg6l2Ke+0G+hwwMDHYO43H5W5QqU6iUIahyrBOzn3GQKx8X89wP8j1kYGCwc+x74rLXsflih6Cs51OoMcm3xkuuse4Xr0Mx74u9vscqDfvlHjIwMNgb7HviUsqnu3wMViEhqHxIyE7OJ98aL7nGul+8DqUWWRtkx365hwwMDPYG+17jUkrdRj4ak2Kn0ZbyafUgpfyWWmRtYGBgYFAa7EviYici+XoxCq2PwoaLwSCOuRtPkfmcjxE/bo1SiawNDAwMDEqLfRkqKtR1v90nZhqs8XGRBw/KJ1RgQhcGpYLR8xgYGOw19iVxKZSI7CTm7vOJ9PWJNDeLOByFf74YsBsTE7owKBUMKTYwMNhr7MtQUTbXfSEhlFzb2t/z+0VWVvBaIrH7IRp7qMuELgxKBUOKDQwM9hr70uOSDYU8Leba1v5eIR2Xs2EnLnhjTAy2g+3ccyYjyMDAYK9xoIiL3cDnWrhzkYFs7+2EQJQyzdmguCi1zmO3dCQm7GNgYFCJOFDExW7gcy3cuchAtv0kEpk/E42KTEzgJ5sxMl6TykGpDf5uEQpzzxkYGFQi9qXGJV8Ua+HOpyLtgwcim5vZ9SdGl1I5KLXB3y1CYe45AwODSsSBJi7FWri32o/PJzIwoH8XAlOTpfxQaoNvCIWBgYFBdhxo4lJK2AlHb+/29rPd4ngGBgYGBgb7EQdK47Id5CuUtG9XLJ1CscIGpnCYgYGBgcF+gCEuNmQjIIFAbsOfLUV6p4SjWBlDJoPEwMDAwGA/YF8Rl2J4FbZbo8VOVMotRdlkkBgYGBgY7AfsK41LMfQgmQiIywUy5HJlN/yZBJXlJKw1gk8DAwMDg/2AfUVciuFV2Em6sp2oGGGtwV6hnEizgYGBQTGxr0JFexWeYYhqYkLk5k38LWLCMwZ7B6NpMjAw2K/YVx6XfFHsp1Eaiaoq/BAmPGOwVzCk2cDAYL/iQBKXYodwaCQcDpGeHmMsDPYehjQbGBjsVxxI4lLsp1FjJAwMDAwMDHYHB5K4HBSiUUhIzIg5dx9mzg0MDAwKx74S5xYL26kHU46VaQsRaBox5+7DzLmBgYFB4TDEJQO2Y1DK0QgVEhIzYs7dh2nnYGBgYFA4DmSoaCtsx6CUo+EvJCR2UMJn5YRizbmpF2RgYHCQYIhLBmzHoOyW4c+mizB6iYOLciTNBgYGBqWCCRVVGLKFpHYaqjLhhspFufXFMjAwMCglDHGpMGR7ut7pU3c5anQMDAwMDAzsMKGiCsNOeinlggk3GBgYGBhUAgxxMRARI841MDAwMKgMHKhQkdFxGBgYGBgYVDYOFHEptY7DECODXDD3h4GBgcHOcaCISyl0HMGgyN27IrOzIiMjIkNDSoyKZajs+zEGsDJhBNAGBgYGO8eBIi6lSBudmRG5fh2EJRQSaWxUYlQsQ2XfjzGAlQkjgDYwMDDYOYw4N09kK/DW1YXfTU0iNTXp7xfLUNn3YwxgZcIIoA0MDAx2DkNc8kS2sup+P34yoViGyr6fSjKApqKvgYGBgUExcaBCRTvBXno5KlnTUq5hrUqeUwMDA4ODDENc8sRellUv1PhbjfJeG+hyDWuVK6HaS+z1vWJgYGCQDw4ccdnp4rwXi3uhxt9qlPfaQJdrHx3rnBqDDez1vWJgYGCQDw4ccdnp4ryTz9NABoOFGcpCjb/VKJerx2O7KBbJsM6pMdjAfrtXDAwM9icOnDh3p4vzTj5PA+lywfDahb7FQiYx735BNpH0TmAMNlBJom8DA4ODiwNHXHa6OO/k8zSQDodIIpGfoTRZOekoBckwBtvAwMCgcrCtUNHXvvY16e/vF5fLJVevXpW333475/Zf/epX5eTJk+J2u6W3t1d+6Zd+SaIHUFDA8ITfn3/ox4Qx0lGumhkDAwMDg91BwcTl61//urzwwgvyG7/xG/Lee+/JxYsX5fnnn5f5+fmM2//Jn/yJ/Mqv/Ir8xm/8hty9e1f+8A//UL7+9a/Lv/yX/3LHgy8Fyk2omcvDUG5jNagMmPvGwMCgklEwcfnKV74iP/MzPyOf//zn5cyZM/Lyyy9LfX29/NEf/VHG7d944w155pln5Cd+4iekv79fPvWpT8mP//iPb+ml2Svs1MNRbKOQy8NgvDEG24G5bwwMDCoZBRGXeDwu7777rjz33HO6g+pqee655+TNN9/M+Jmnn35a3n333Q+JyvDwsHzzm9+UH/uxH8t6nFgsJuFwOO1nt7ATD0c0+mijxWLCfnwjKn0UxpuwNcx9Y2BgUMkoSJy7sLAgqVRKOjo60l7v6OiQe/fuZfzMT/zET8jCwoI8++yzsrm5KclkUn72Z382Z6jopZdeki996UuFDK1oyCXU3CqjJRJ5tNFivshHhBuJgBQ1NoocOVIcUel+E/+WIutov8GIkQ0MDCoZJa/j8tprr8mXv/xl+b3f+z1577335H/9r/8l3/jGN+Tf/Jt/k/UzL774ooRCoQ9/JiYmSj3MvLDVk6rPJ3LsmJKKQpCP+97nA2kJhYrn0dlvYQPjTTAwMDDY3yjI49La2io1NTUyNzeX9vrc3Jx0dnZm/Myv//qvy0/+5E/KT//0T4uIyPnz52V1dVX+yT/5J/Krv/qrUl39KHdyOp3idDoLGdquYKsn1WKkSucyuC6XdqN2OPLfdy6vSiGGvhK8M8abYGBgYLC/UZDHpa6uTi5fviyvvvrqh69tbGzIq6++Kk899VTGz6ytrT1CTmpqakREZHNzs9Dx7joK1UxsV2ORb5pvIoF9JxL57zuXV6WQ9OL95p0xMDAwMKg8FFyA7oUXXpCf+qmfkieeeEKuXLkiX/3qV2V1dVU+//nPi4jI5z73Oenp6ZGXXnpJREQ+/elPy1e+8hV57LHH5OrVq/Lw4UP59V//dfn0pz/9IYEpZxSqmSi1xsLhwH4L8bgUK3xiwjAGBgYGBnuNgonLZz/7WQkEAvLFL35RZmdn5dKlS/LKK698KNgdHx9P87D82q/9mlRVVcmv/dqvydTUlLS1tcmnP/1p+c3f/M3inUUJUaix3ioraaehlu14XIoVPqmkMEwlhLUMDAwMDApH1WYFxGvC4bA0NjZKKBSShoaGvR6OiGzPMAYC6o1pa9vePoxBzg/2uTYwMDAw2H2Uwn4fuO7QxcJ29B52b4x1H/lqY7JpUkz9knSYsFZ+MPeNgYFBpcEQl21iO4bRTjqs+9iKCOUyMJkK3+VjkPaz0cpHdLyfzz9fGMG1gYFBpcEQl22iGM3+rPvYigjlMjCZCt/lY5AOutE66OcvYjxTBgYGlYeCxbkGimLqTbYSvuYyMCx8Zx1HPgbpoButg37+IpUluDYwMDAQMcRlR7CnPpdSOJvLwGR6Lx+DdNCN1kE9fyPwNjAwqGSYUNEOkEtsW0kwWo+DhUq9Tw0MDAxEDHHJG5mMey6xbamOmy/JKISMGEN2sGBCZAYGBpUMQ1zyRD7GvRiC3a2Omy/J4HaBQO5spEAAVXhLYciMJ6c8Ueh9aq6jgYFBOaHiictuLapbVcQt1Rjsx833aZmtAaLR3NlIk5OowltswmXdv/HkVDbMdTQwMCgnVLw4t9S9gYhcQs5CxlCoMNJ+3HwFpWwN0Noq4vdnz0YqZcjAhCT2B8x1NDAwKCdUPHHZq0XVSkAKGcNuES3rmArJRiomDmrWzn6DuY4GBgblhIonLqVYVPPxilgJSCFhlt0iWsbYGBgYGBjsR1S8xmWnyKRPySemny8Bse+/FAJeg4MFI5Y1MDA4yDjwxCUTScmHlORLQIyw0aDYMPeUgYHBQUbFh4p2ikwkpZhhlkz7N5VLDXYCI5Y1MDA4yDjwxGUvBKo7EehWEunZq7FW0hxtB0a/ZGBgcJBx4ENFe4GdPDFXUphgr8ZaSXO0FYyexcDAwCAdhrjsAXYi0K2kMMFejbWS5igTrGRlJyTMkB4DA4P9iAMdKqrEkEIlhQn2aqyVNEeZYA0lFsM7V+qaQQYGBga7iQPtccnnadY8tRrsNuzFAw+Cd87AwMAgXxxoj0s+C3uxn1qL6eWpRI+RwdYolseo0j1PBgYGBplwoD0u+TzNFvuptZjC0VKKUI2nycDAwMCgHLEviUsxjW6xK90WkwiVMhSwnzJzDAwMDAz2D/ZlqKicwzvbdd9nGkMpQwFGH2FgYGBgUI7Ylx6Xcg7vVMoYTE8lAwMDA4NyxL70uBTiicjHm1Jq70M5jMFgZzBCaQMDA4Pdwb70uBSCfDwZpfY+lHoMRmhbepSDV87AwMDgIODAE5dy8GRsNYadEg+rUc22L0NudoZyuI8MDAwMDgIOPHEpBy3HVmPY6dO81ahm25fxGOwM5XAfGRgYGBwE7EuNy26j1EXldvo0b9f8ZNqX8RgYGBgYGFQCDHEpAoqZfp1pX8VMe862L1Nl1cDAwMCgEnDgQ0XFQKUUlTMwMDAwMKh0HFiPSzkUlSv1vgwMDAwMDPYb9rXHJVemjBGjAiabyMDAwMCgkrCviUsucpIrJHOQjLkhcAYGBgYGlYR9GSpiGMjhyE5OcoVkit3rqJxhNDUGBgYGBpWEfelxIfFIJLZXW6NcjPlOPD/5ftbUHzEwMDAwqCTsS+JSjLon5WDMdxLGMSEgAwMDA4P9iH1JXEpFPLbjAdmJ14QEzOEofB/l4jUyMDAwMDAoJvYlcSkV8vViWMnKTjwfJGCJROH7KBevkYGBgYGBQTFhiEsByNeLYSUrxfB8GO9JeeAgZZsZGBgYlCv2ZVZRqZBvcTgr0ShGQbl89lHMgnqVilLPwUHKNjMwMDAoVxiPSwmw0zBNPk/29m2MGBfzcfMmfpcCxvNlYGBgsPcwxGWXkIuMRKMiExP4yVcXY9/GGFWgqqp0+za6IQMDA4O9hwkVFYCdhCJyhRkiEZHBQRhdlys/EmLfxvQ4UlJx0MmbgYGBwX6GIS4FYCcah1xkxOcTOXFC/86HhBii8ijKYU6M1sjAwMCgtDDEpQBkIh/5GqpcRtXlEuntLe5Yyw0HxaAbAa+BgYFBaWE0LgUgk8aBhioQMKmyuXBQxMNGa1Q4TJq5gYFBITDEZYegoRJRw2wW4kex1wZ9t66JEfAWjoNCag0MDIqDAxkqKmbYgiGgaFSFoSZc8Cj2Wn9irkn5Yq9JrYGBQWXhQBKXUhgxu2Eux4X4oOhMMsEYx/LFXpNaAwODysKBJC6lNmL5LsS7TSQOitch07wa42hgYGCwP3AgNS7lokOwx/ZLqcOIRvHT2rr/vQ5GM2FgYGCwf3EgiUu5wO75KaXBjUREFhbSPQ/7VURswkIGBgYG+xcHMlRULrCHL0ppcDPtu5DQUSXpY0xYyMDAwGD/whCXMkIpDW6mfRdClA6KPsbAwMDAoLxxoIhLJXkNdgOFEKVCSI6ZZwMDAwODUuFAaVz2o2izHAur7cd5LgT7VTtkYGBgUA44UMRlP4o2y5Ek7Md5LgTleE0MDAwM9gsOVKioWBqScgqFlCNJOOji2HK8JruNcvqOGBgY7C8cKI9LsVDKJ+pCwwwM4YiY8ES5oFzqBO0ljNfJwMCgVDDEZRso5RP1dhd8YygMygnG62RgYFAqHKhQUbFQylDIdhd86+eMm95gr7Gd74i5bw0MDPLBtjwuX/va16S/v19cLpdcvXpV3n777ZzbB4NB+fmf/3np6uoSp9MpJ06ckG9+85vbGvB+x3bDDNbPGe+LQSXC3LcGBgb5oGCPy9e//nV54YUX5OWXX5arV6/KV7/6VXn++efl/v370t7e/sj28XhcPvnJT0p7e7v82Z/9mfT09MjY2Jj4/f5ijH/XUQlPhcZNb1CJMPetgYFBPqja3NzcLOQDV69elSeffFL+03/6TyIisrGxIb29vfLP/tk/k1/5lV95ZPuXX35Zfud3fkfu3bsnDodjW4MMh8PS2NgooVBIGhoatrWPYiEQ0AqyFMUWA5VAiAwMDAwMDApBKex3QaGieDwu7777rjz33HO6g+pqee655+TNN9/M+Jm/+Iu/kKeeekp+/ud/Xjo6OuTcuXPy5S9/WVKpVNbjxGIxCYfDaT97CWumT6meCo2b3MDAwMDAYGsURFwWFhYklUpJR0dH2usdHR0yOzub8TPDw8PyZ3/2Z5JKpeSb3/ym/Pqv/7r87u/+rvzbf/tvsx7npZdeksbGxg9/ent7Cxlm0WElFaVKdXU4sM9tOqUMDAwMDAwOBEqeDr2xsSHt7e3yX/7Lf5HLly/LZz/7WfnVX/1Vefnll7N+5sUXX5RQKPThz8TEREHHLHbJ9d2IvScSGG8iUbpjGBgYGBgYVDoKEue2trZKTU2NzM3Npb0+NzcnnZ2dGT/T1dUlDodDampqPnzt9OnTMjs7K/F4XOrq6h75jNPpFKfTWcjQ0lDsTsa7UQnWCBMNDAwMDAy2RkEel7q6Orl8+bK8+uqrH762sbEhr776qjz11FMZP/PMM8/Iw4cPZWNj48PXBgcHpaurKyNpKQYqkQTsx2qrptmggYGBgUGxUXCo6IUXXpDf//3fl//6X/+r3L17V37u535OVldX5fOf/7yIiHzuc5+TF1988cPtf+7nfk6WlpbkF37hF2RwcFC+8Y1vyJe//GX5+Z//+eKdhQ37kQRUIozgOD8YgmdgYGCQPwqu4/LZz35WAoGAfPGLX5TZ2Vm5dOmSvPLKKx8KdsfHx6W6WvlQb2+vfOtb35Jf+qVfkgsXLkhPT4/8wi/8gvzyL/9y8c6iiNhOWvJepjKXcxp1JXq+9gLFDm0aGBgY7GcUXMdlL1CMPPCtDDzfj0ZFFhYKq9NS7NouhZCRUtWVMdg9lDP5NDAwMNgJ9ryOSyVjq7AF3xfJ30tAF7/DUVzPQiEhFuPVqHyY0KaBgYFB/jgwTRa3MvDW9/M1IFYXfzG9HYWQkd3IeDIwMDAwMCgXHBjiQgNPL4mdoGyHAJSqaFy+YzEhBgMDAwODg4YDEyoiipnpspOiccXIJDFZOwYGBgYGBw0HjrgUUxOyk30Vg3QYfYuBgYGBwUHDgQkVEcXUhHA/JB+F7LcYpMPoWwwMDAwMDhoOnMclF/IN31i3267nxGSSGBgYGBgYFA5DXCzIl4QEAiLXroncu1f8VGhTRdXAwMDAwCA7DHGxoJDwzfq6yMwMhLnF9JwU4sEhyQkGDdkxMDAwMDgYOHAaFzvsKcX5EJC2NpEnn8TfxRbGFkKeSHKY5m0tGW9SpQ0MDAwM9iMOPHHZTp8Y6lNKkYZciOCWJMfhgOfHSnZM/xsDAwMDg/2IA09ctpvdUwxisFOvSC6SY1Kl9yeMJ83AwOCg48BrXArN7snVn6hQYW0pC8iZrKX9CVN00MDA4KDjwBOXQkHDkUmUW6hRMV4Rg0JRLveMyX4zMDDYK1Q8cdntBdTnE2ltxfHsx8zXqHDMIsYrYlAYysWTthPPjyE9BgYGO0HFE5fddp1TV7Kw8Ogx8zUq5e7uN4bFYCvsdbsLAwODg4uKJy574Trf6TFLNeZiEY6dGhZDfPY/duL5KZdwl4GBQWWi4rOKdtKvZ7sZGjvtEVSqHkM7yXSyzsVODYtJxTbIBdNjy8DAYCeoeI/LTlBql/Ve6G8K0dhYxxWJiAwNiYyM4P+d6CjME7WBgYGBQalwoIlLqQ3sbsTyrSRkuxobCo1dLpFQaOfjLRcBqYGBgYHB/kPFh4p2gmK7rO2hp1IQo2AQPZK6ukT8/u2FZezjikQgNm5t1XEbGBgYGBiUI/YlcdmOdqUYFUntJKIUsfyZGZHr1/G33184Ocp0ntZ9GC9JYTCVbA0MDAx2F/syVLSdEE2m8Emh+pTd0HZ0dYlcuoTfIoWHZTLNjQntbB8mtdfAwMBgd7EvPS7bIRCZwifbab5YauPv9+Nnuyhkbow3YWsYIbKBgYHB7mJfEpetCEQmg2z/TDENUjkRgELIVSnSmstpLooBk9prYFB67Ld1w2Bn2Jehoq2Qj3u/mOGTSg0nlMKbUKlzYWBgsHcw64aBFfvS47IVSuVNEcn8VGDvb1QpTwyl8CaY0MruwTylGuwXmHXDwIoD6XEplTcl21NBrv5GIuVRIj/fMex0rOUqBC6Ha1BsmKdUg/2Ccl03DPYGB5K4FBMOB75MDkfup4JM79FYBgKZDcxuGtN8jdx+NYb78bzMU6qBgcF+xIEMFW0H2dzuiQTeSySQ7ZPtiSBT2IXGsrU1s4HZzZ4/+Ro5K1HbT9iPRt4Ihw0MDPYjDHHJE9lIRD4GLxvp2arw224a03yNnJWoWVHpegpj5A0MDAwqA4a45IlsJCIfg5eN9Gz12XI0ptnmwXSENjAwMDDYDRjikifyIRH5eFYK+Vwm2HsV7TayzcN+DLWUKyrdu2VgYGCwExhxbhGRK6solyK+EGEoexXNzOx4uEWFUf3vHvajkHgvsB8zyQwMDgIOhMdlt55Qt+t1KKTOC3sU8bfBwYPxbhUHmcKbxptlYFD+OBAel2I8oebzdLZdr8NWdV6s8PtFTp/G33fvInRkcLBgvFvFQSYCaLxZBgbljwNBXHb6hBqNioyMiAwNpS9oxXQ1FzrG0VGR73xH5L33jKvbwGA7yEQAjTfLwKD8cSBCRTvNzolEREIhkcbGzE9nxcikKXSMHo+I16sVe83Tt4HBzpHpe2jCRwYG5YUDQVx2Cp9P5Nix0mYLFYreXpHnntNxGFQ2jHEsX5hUfwOD8sKBIC47NQr8DMNE/H8rL0kpFzyXC+TFYH/AGMfyRSWFjwwBNjgIOBAal2II7razDy54DodJuzTIjUoyjgcN5SSG3kpXZ8TFBgcBB4K4FMMobGcfXPASid1fTEyNispCORlHg/LFVsTEEGCDg4ADESoqRun8QkV71vf2YjEpJPRg3Mt7j728Bts9trlvdh9brSXFWOvMdTUodxwIj0upkOvpx/reXjxNF0KWdsu9bLxA2VHoNSjmXG73+m/3c6W+D7j/YHD/3W+7sZaYcJNBucMQlx0gFznYa5dtIQvcbo3VLIjZUeg1CAREbt7E752A1ZpbW/M7tpV02MecLyEp9X3A/Y+OFmeOsmG/EvG9XrsMDLbCgQgVlQq53LLl2Nk5G3ZrrAdlQaRBE8mfPG7nGlRVFT42guGAaFRkago1itratv6cNQRpP7d8w5PbuQ8KmVPuPxQSWVrK/xiFYr9mglXS2mVwMGGIS4WhkuPPB2VBjEREBgeVWLhcxb9eNN7bJYE0uq2tIC2hUH6FDIvhZdzOfRCJiDx4ILK5ufXn+b7P92jRyGLioBBxA4NygyEuO8BOScR2Pr9fn/JKjUxzXSoS6POJnDih/5fieu2UBFqNblubzsN2jmudx3y8NvbP5BvOHBjQv4u9/+3goBBxA4NygyEuO4CVRPD/UpMQ85S3PWSa61KRQGtxQOofcnX+3srI2t/fLgnLtM1WhCOfEM1WXZatx+H4R0bg5Tl2LP9QWj4FF4NBkZkZ1E6KRAzBNzDYjzDi3B3ASiJ2UqDOkJDSI9Nc78b886l8agrGOpOQc6t7x/5+pu3zuf/y2U+mzwwOIkxTSO0Q674zHTdT7y+RwgSvmbadmRG5fl1kZWXraxuNikxM4Ge/CWwNDPYzjMdFsj+tbvUUa3UV82na4cj/uPw8F+B8vDX7PVRUKhd/Jrd+Lld/McdBrQV1JCLp3ohMWT256gBZ/+d2DgdeS6VE7t4VaWoSqalJH3+u/eQa+4kTIrFYdq9Rpnm079t+3Ey9vzgv+d7fmbbt6tLffv/Wn6cWqZzDPpWsazMwKAUMcZHsi2W217O53Ken0bF5qwUz3+Nnwn730hSDmBVjoc8W/rCGTbjdVsdxuUSOHNFtrfuORuHNGBjIfu/ZQzRWIxsIqMjW5RKZnQVx6esTqa9PH7/dOOdTVJFp9SMjIgsL6dvmyu7JdKxcxyXyvb+zpXH7/fl//6xapHL+Pu33hxUDg0JhiItkXyyzvZ5tIcmUnpqPES2EjNi9PPvtSawYxGynC73dKFpTh62ZLSL5H8durK0ek1hMZHExnQj4fDg+xxKNIgxi9yRwvqJRkaEh3IOnT4t0dmLMU1PwxuRrzLNpgQIBeHCiUZGHD0XW10UuXEgP9+TS4eR7r+br+YhEQKR2Yszz1c1kg9XblUhkPrdifEf3+8OKgUGhMBoX0afKTC7wTK9nWkja2kTOn39U5BiJwKBk0zfsBIGAyLVrIvfu7Z8YfbY5LwSFPLVn0lPQKNKI0piLwJPR0gJjtd0CbNZzbGsT6e/Xz/LzPPbCAl67fVvk7bdBXjLty+HAtqGQSE8PiEsyCe+L/TO5kE0L1NYG4uJygTy53dCRULtiL4iXTU9jPcdcc7bVXGa7xrtZFI7nNDOTXwXt7aIY3wkDg/2Efe9xyZXdsF1k83pkysyw6xsyHTcQQKz9xImtnwDt57O+joWzp8csbEQhT+2ZPCbZtCAOB4x1NIonbL8//XOBgIZ9sl3HTE/pDCNFo+lhH+pWolGR1VUQpqYmZM6MjiIsyYy2oSGRuTmRU6e0G3lTk8ilSyAahXo8KFyltmV5WaSuTu/znp70c4hG4e3h5+ix4lgcDvy/uIj3mE2ULSR37x7u63PnMs9ltmtciLetUG+IfXvrfcF5sCMTwdqPnlIDg91ERREXutVzuWbtsKcsFztWvNVCadc3ZEO+VVDt2ofz52HUMomCi7VAVtpCm+947eGYrbQggQAIqMuF3yx7bzVasRi0TiKZn5J5/aqqUNV1YADbWcNTIunXOBqFwZ+ZAXEaGhJ57z2Qh8ZGbJ9MgrScPYvx3LkjUluL//1+kAmSKp8PxMfjASmwEoaJCdxPHg9CQrOz+H92Fl4cpxPH4bhIuBwOkeZmjJMk58IF7YzO70c0mh5eyuS1GhkRGR/HZwu97nbClOseKDSkaN8+H4KcaRujWTHIhUpbb/cCFUVcVlbUcESj2xOz5htCyPfGKUb8uZAqqNbjuVwwSisrmRf5Yi2Qe7HQbufLazWk+egfaFQmJ7c2QjSKLS0w5A8ewDh3d6uxjMVg2Gns7fu0GlZqVhYX8R6zW6xF1qyEqqUF266sgKScPSvS3q7k6ejR9HOqrQXxaG7GPUKvSTSKfbz+OsjJs8/ifYcD43nnHZH5ebze3AyNjMsl0tCAuR0bU+9eJCJy6xa+k34/PEFut8jhwxhvpu8cs4lElFhYPZWBAEhVRwfmNp+Cdpmuu50w2bfNlK21FXKFpwotpmc0K9vHfjfshthujYoiLl4vbtZcrlk7cmU3ZMN2bpxchbry8crkexx7mCpTZgVRrAVyLxbaQsJnBOfZ69VQSybka7ys21l1L9Eowi8eD7ajl2R8HOSFhtsaJkkk8Dn2BXK7kbo8P49trZV2eRx7aPHECR0LBb0TEwinWAlYWxuITXOzpgdXVelPV5fImTP4/MOHIvE49ptKgYy1t2NMLheIyfw8CJXDgXNzODSM5PHAAzQ9jXk4ckRJizWEag9x5ipAR0LY26vfq1xeVl731tatH1JyZWtthWzf00Lv1XxIcrka5nIY23437IVo9Pb6WuwVKoq48MlvOyiVF4VfIpcLT6yZeqlsx/Dno83ZKrOiEEKUa34K2U8xUWgTQWuGzcJCZi8UQxE0mrmMl3WBtOoZSBRpsPr6sH1tLQx5fz88EExVXliAuPbKFaQoDw6CJCwvI+xiDzeRdCUS+G3Ve/j9eP3BA+x7fR0E5eTJ9LCXPS3Y6VRB7aFDIk8/jXkYHNRGhK2tSlzYBsDjwfh7ekB4xsZEwmF4lLjf6mrst7cX9z/JmdUrSpG6ywXCw9CTPUzH60HSx2tp9bLy2li1JiSP1vs303XNFh7cKXbS8NKOcjbM5TC2/e6x2qlG7yCgoojLTlDIRS7EUFsNmterr4lsLdzNd7wiWPQbG/FEy7EVy3VtP145fAm200TQKiwVyWycclVttcPhUCOa7Z6oqoIRn5lRY0zCxOtz757IBx+A4Dz5JDJ9VldxjqkU3pubAwE5cwbZO8TUFMI6m5vqgVhcRCjF4xEZHgYB4jFv3QLBOHVK54L3Qn+/isQdDhCIY8fws7qKsaRSEPUmEiAM587hvl5bg25mdBT7vnoVxwuFcM7sxEwBr8OB86DXiyL10VFsu7mJYzIUZdcXWevT2AWwdg9HISG/XNtu9wl2pw0v7Shnw1wOY9urB6lyQzlci73CgSEu+VzkfGtPZCrSJfJorYydkAH7eDNlJmX7Altd51xQd0OrUyzs1AWayzj5fNmrttrB8I7Vc2MPM3V1weOwvg6j3dyswl2HQ8nM3/t7Io8/DiN3+jQ8F6mUyI0b8Fqsr4OEzMyo4LaqCmGa+Xl4PJJJGOz5eZEf/VGEbailmZqCxycUgtakpQVG3eoV8no13DoyAgJ16RLuk2vX4BVKJHAO/f3Yb1cX3r9zB56Ykydxnxw/jjFGIjiPo0dx/GQS3qD33ksPOUUiIESxGMaVTCqBtAtpo1EQueVlHD8T6bd7OAq5fzMJgiMRzNv4eGHhSZHieTa3s7/dRjmP7aDhIF+LA0Nc8rnIdqKRjQDQ7W33gNjBJ/VUKv+S/tnGm09mEmENmeRDnMotVloM7082Q7ZdbxqvH1Oe29theJNJGOxIBMa8uzu9SN2tWwhvXroEAuNywWMhgu26urD/tjaQnIkJhGI2NxHaob7k8GHcRy0tuB/X1kA8ZmdxHzKrqLExPfspFlOv0MoKjjU+jn2cPo3/V1exfSyGz29sgMQkkyA6Dx6AuFy8qOdAQkePCj08waCGtpxOnMvt23o9/X4ljpkqCfP7desW5qK5Gce0IpOHw+pt2+q7Zr8HrJledkJUjO+GXStVTp5NA4NKxIEhLvnAbuxIPGKxdC0J3d65arOI6BM7szkKIRAij3p1CiEfXMTzcWGX22K6m96ffOZ8YkJDMB4P7gdqQ06fhiGmENblwn0xPw9ycPEi/v7gAxjx5mbVeMTjIBNrayAmTz8t8sYbuNdaW2Gw3W4Y++VlkOXOTnhDbtzAGHp7oZtxOLCf69fhAZqcxL5bWrRgXDCI8xgchN7G58OYkkl4YBobkU0UjSI8RY8Ja6+w7H9Tk8hjjyk5m5/X1OtIBMfluScSIu+/j22WlzFX/f25rzfDWiIqgLaK33PdF9up48J6OQ4HPFvW/efaX76kJpNWKt97u9weKgwMygHbqpz7ta99Tfr7+8XlcsnVq1fl7bffzutzf/qnfypVVVXymc98ZjuHLRj5VtG0ZwRFo3ia5We5QPPp0uWCB8Sa2pnpWFykurryW6ysVTa3qrhpP16m7V2u/DInyilMJJL/uO3gnPCp/9o1va7ZYJ9zVjlmz5/RUXgcpqZAFpaWcD0TCfy0toJY0Cvncmm4ZH0dhnB1FWP64AORv/gLka9/XeTb34ZXYmEBRMPjAUG4dQvHuXULBMfrxf6cTmhGmptBHPx+GPcrV3Av1tQgvDI5qcYuldKicOvrCE9NTyMUsrEh8td/jfNLpTDO8+dBQOj1CQTSC9/F4/AoNTdjO5cLr6dSIEyjo5hTjwf7a2gA0frEJ0Q+9jEc8733MI5s93cwiPnv7xf5O39HQzb0wrz+usgPf5j92hZyL7PaL4mBNWvJms2UbX88B3s14FxjKvTe3modMKhc5GufDB5FwR6Xr3/96/LCCy/Iyy+/LFevXpWvfvWr8vzzz8v9+/elvb096+dGR0fln//zfy4f/ehHdzTgQrBVSCdb3Y+ZGSzEp09nzlLJ9BRkF9NuR5RrX3RzLcD2J8GdZkvwc/YFfCfYjafFTG74qioQl83NrT9nN0wuFwzw2Bh++/0w9h4Ptl1aQkgomcTrCwsw5ENDMPZLS9hHYyOM+9QU5vPUKXhEZmZw3Pl5eEFOngQxmJnBMe/fB4FZW1MtiNOJsVVX429W7T18GPd1IKBk4NAhkcuXQRqCQXhNWlsxtvV17OfUKZCiSATel5oakPD2dhjye/cwHxcu4LzHxzGO5mZ8J5JJkKSpKZC4YBCkpLYWc9TRgb8ZTiLZicdF3nwT5CUeB6mxh0+mpkS+/32Ex86eTffC8FhTU5gL1ryxgvdZptIEme7HeFw9ShMTWvXYnjadCfmGZHeiRSi3hwqD4qHcPN2VhIKJy1e+8hX5mZ/5Gfn85z8vIiIvv/yyfOMb35A/+qM/kl/5lV/J+JlUKiX/6B/9I/nSl74k3//+9yUYDOY8RiwWk1gs9uH/4XC40GGKyNYhHXv9B2oZ3G6IGTs71QNjDblkuuGsC4ydxGSr75IpvGN9P9fNbF/QuO3gIH4XIi6MRFSXwYJqub5M23GR8/+dagXsc5nJDU/RJ4WdmcJB1poqJLV88qmqQvhlcxPz6XTC8A4MgGSEw/jxekFeenqwzz/5E3hqLlwQ+b//b3gr7t+HaLerC2SBlXU3NlSgGgrhc243sniqquBxeOwxEKO330a9lTNn4I3huXd2wtguLWGMo6MIxzQ342d9HdvOz2M/bje0Nh4PiM/p05iDmhq8X1OD4yYS8KL4/SAtb7+Nc2hrQxhobg73y9ISPr+wAKIyNIRznpvDvr1ekBRen74+EKzbt0FA/q//61HySAFxIAAPS3+/Xh+Gj5iOvbmpehbr/UXvzPo6srisXhvr95Z9okIhvG8luvkQhq1CssUg7gdZgLnfYUjp9lEQcYnH4/Luu+/Kiy+++OFr1dXV8txzz8mbb76Z9XP/+l//a2lvb5d//I//sXz/+9/f8jgvvfSSfOlLXypkaBnBkA4XR7toz+7CZVn05mYYLqalZspMyXXD2UmMVayZSRS4nfh5tgVtO/UkfL70iq1bFffLN2spE5krJNNJ5FGPin0u7dfQqkHia4GAet68XhhapvjOzeFvPmVHo/BkdHXhfnj3XZFnnhH5yEdgzMfHYRBXV/H7xg2QmclJGNT2diU81I+cPAmyMjaGz7jd8HBQ/9TYCGJATZXTCSNfXw9S5HbjXqRnxecDUZifh9FdXQWpOX8e4711C+8fPYrtJybggblwAeN5+BAhHq8X3qOWFhCnQEBJj8eDuXn7bYz93DmQFqZfs25LYyPul9lZ6HOeeAIel85ObHf7NrY9dgzzx+/kmTMY47VrOF5LixZT/OhH4QXZ3Ex/6Egk8JqVaGYqGdDVhR97c8lMZJ8eK1ZFpnclF2HY6oHD/j0xT9QGmWBI6fZREHFZWFiQVColHR0daa93dHTIvXv3Mn7m9ddflz/8wz+U69ev532cF198UV544YUP/w+Hw9JbgAsh08LCuhDZQjmsj8FqoH5/duOdKYPBHpay9p9pb4fBoEbGGtvM1lfFvuhZQxvM5rCHdKzZFoU87blchXlosrnIg0EYi66u9AaE1qdq+2dyiWOtxeJ6evB+Xx8Mu9X45KPhoeeNjQmjUVzr9XV4DbidVbd06hRIA9OY/+f/FPnOdyCiffZZfHZiAkZ7bQ1P9zzO4iLOxe8HURgagoFuaND06VAI1722FkLWEydAFO7fB2k4exbzduMGSEoyCTLS349jjo/jsxTQzsyALPn9GEdDA8a1uIjPkvi43RhLdTXIRDKJ7Xnsy5cx3zU1ICAOB+ZicRFzNTsLjxE//9RTOJ+HD9VDxdIAvb0YX309wkRTU9C8fPzjIDU/+IF6mPx+aHYaGzF3VpJrve+sujJr1WjOfWsrxmsX2ma6V/jawsKjTTOzIV9CYp6oDQxKg5JmFUUiEfnJn/xJ+f3f/31pZWnLPOB0OsXJwP62jps9lONwPFpunAYyHMYCam08l+9xMoWlIhGt+kkxJz9Hz0GmRnTW8drDU1bXdKaQDsmSSH79eraDbC7y0VEIJy9dSk95tTcMzBZ2E0mfB/atYfO+aFSr3fJcM5EzK4mkkJb1SLhtMAhjurCArJfRUXhW2towBnpWOjpAcL7zHaQEz87ix+WCPoJeD3oe3nsPhOH0aRAEhwOfozeiuRkEIxoFqVhdxe+jR7X+it8PjwhFvcEgyMDAAEjFiRMgIN/7HsbQ2goh8d27WkDO5QK5GB4GoTh/HsdlTZeHDzFeknTWlfF4sM+5OWx39iw+F4vh+zE9DaJh7X/U1gai0N4u8ud/jvlpasJ7VoGy349tq6qgIZubw77r6lQXw6hwa6teZ2t40Poa729ec/s1ztejZydAWyFfQmKeqA0MSoOCiEtra6vU1NTI3Nxc2utzc3PSaS+2ICJDQ0MyOjoqn/70pz98bWNjAweurZX79+/LsWPHtjPunLCSlIkJvNbWhtdHRmBs2tvTjWcohG1y1WXJdhwulPawFLM6UildGLlQ0nPgcKjxtQprrd4KEQ0juN34v6kJT8T21E1rs77tPO3lW3RP5NGF2ePBvFZVKXGgEU2l0q9FNoJmf6KmoDQa1fCPtWCYVVBpvS6NjbjOMzMwxGfPpm/DyrATE/AcVFfDaK6soNHg5CT2EQ7jOtFjcu4cPv8nf4IxLC7C+3LmjMjf/A32ubyMbebnVWdSV4fxOhyYn5oaeBf8fpCLtTWR//N/QEouXABBo3G2dnF+/30IaDkPGxvYV1sbznVtDX83NGAcs7NKkkZHVSxMB+iRI5ifhQUcu6cHpG12FkSithb33MOH+LutDedED0V/v3oSW1q0om8igbn1elVUfOkSvmdvvYXPPPmkyD/4Bzh+NKr1cCYmVLg7OgqxcGMjiJ/Io7qYfIS09vvY2j+qUIJfiYTEpFVXJir9uvH7VWwURFzq6urk8uXL8uqrr36Y0ryxsSGvvvqqfOELX3hk+1OnTskHH3yQ9tqv/dqvSSQSkf/wH/5DQeGfQmAND9GQ86KHQjCu9tL5W1VTzcdw28NSVVUwSm63ur/n5uCOv3BBK5tam+pxP5lEvvSkRKNqrKzw+UCIVlfxt72Sby5ky7Di66EQDJqdJFjR25veaZiiRz6ZZ+rlZP3bmhYYjeI83G4YxEyalbU1eALscLnw9L20BPJQXa37nJhQ/YTDgRBNKoX/acgaG2GcvV6cA70YJ0/i89evY9+JBH53dsJbMzCA1+ghiUTgyTh+XOTHfgzGf2IC166mRjUmjY0gJB4Pzm1uDtfW6cS5kwRMTamXYmAAIZozZ0CKl5ehzZmd1XkYG8P59PSAOFE429aG8NfSEshYOIw5qavDud26pd7A/n5N2+7o0O7XJDb37uEaNDRoyHFyEvd9TQ2+ZxsbOK7TiWvW3AwP08WL+MzkJI7f0qK9jsbGML7JSRCb9nZ9IHjwAPc5KwwXklFn91xaGzMWQtorDftZb7Mfrk82VPp1i0Q0FF9MFBwqeuGFF+Snfuqn5IknnpArV67IV7/6VVldXf0wy+hzn/uc9PT0yEsvvSQul0vO8RH1b+H/W2tqf73YsHo2rKGJ7RAUkeyak0z7ohchGIThZYfeyUkYmIUFLNR+v3pl1taw0JM4MLJmdWEfOgTjs7SEz9mLciUSGMvKSu7U7UywimetRsCaYpwrvdgKq+iRtUjYG8fjye4FykTUurrSNS0TE2qcYjEYViuB45xMT+NpvboaYZK2Nrz++uvYRyqF+T5xQj1XtbUw8l4v3u/qwntDQzj/GzegA1laghFn0bd331US6nYjG2hlBeeztATj/nf/LgjO4qKOb20N9wOvf3U1Qk0MN3q9OL7LpYSH83vyJDwWfr/IK6+A+LCk/rVrIAvT0xjPoUMgYsvLeH11VavEplK43+7dw7jW1kAUkkkQmnv34IFits/KCsbCNO2pKSV4S0t47+238dlTp3Dso0dx3VdW8FNdrVV0AwHtqu10YrsLFzDGsTH1rNTU4HqGwyBBHo+mf9ODZ2/xkOnet3pj7Roxqw4u13e/FCi18d3PeptKN+65UOnXzedTfWIxUTBx+exnPyuBQEC++MUvyuzsrFy6dEleeeWVDwW74+PjUs1H3CIjGs2/OzT1JRT4iWRf1HLpLAj7Ux2f/OiBsItMRbCgWkW+9AR0dcFIcqFdWgLJaWxUjUM2F/bgIJ7cm5uxmNOj1NWV/gRp765biJCQ80GQPNnFjpnm3O6yp5empgbEJ5sA0qo1SKVgtES0OzHJ4g9+AMN68iQMIsfL+Q0EYGj5tM6nfnqTmps1OyiRwHFiMSVW9ETwiX9uDl4IZhJNTeHvqiotzLayIvL//r94r6NDvRTUMU1NiXzzmxhHVRWuNQu7TU/jGAw7BYMY3/Q0iMbaGhoaDgzgODU16ol54w187uZNEAeGqUhgGxtxHWj0V1cRrmlvxzlNTeHv48fx43ZrKIldrmtqoNFhtd/+fmT9RCK47/v7Qf7m50EKx8bw+dpanDuL0olgnKkUiJ3bDU1OUxPObXFRr8mVKyrq5b05M4N9BYNKor3e9PpDds9JMIjvirXpZK4wTzYjsRvGo9jGN9/Mp3LATklbpRv3XCjn65YPXC59CC8mtiXO/cIXvpAxNCQi8tprr+X87B//8R9v55AigoU7R427NPBmDoXSCQZhF3Bm0llk+vKzMunQEAxOphoRIplj7jS+7Jrr98OYiMDN396eLjy1CwYjERgyGkyHA397vdjW+gRp765r3U+meihWTQ2fcq1N5xh2smZScXse007uRNRLY33StWdQRaN4sh8bwzyIwLC2toIscd6iUZAWuh67u3HO1myuWAzbNDTA+K6v4zqJYF9nz8IjUVUF48laKpubuL9+8AOE8j74AMfz+7GvgQGMOxLBft1uFbMmEvisy6XF72ZnsV+HA8eIROCJWFvDWBoa1HsxOoox9/aCkAWDOPe6OvXIrKzg9ZUVDUMND+N/v19Tph0OHLeqCiSNHrjFRdxrTU2qjQmF8PvYMWh3qFUJBnFevKa9vSAODge8RsePY37W17G/QAD7dzpBJlMprfNy8ybm8+xZ3GvBIPYRDILonDkDsiii5GhxMV3nJPJog0aGEqmbsn4PWaNnbQ3H4bXPRpjt33E7dsN4FNv4VpIXYqdjLcb12c/hpv2IkmYVFRteb/7bWjNfYjEshlZRqMOhzQ9JEOwp0hMTmoVB7cahQzCU772nT4QTEziGPaxjXXyt5cnpAWlrwwI7OIg6IVx8rRkTdq8PyVhNjT6l021O404hslU4bEUgACNaXw/Bo9VVPjio3XGDQe10TFhDSisr+IxV1Gx12WfS4NgzurjPsTEYO4pEL12C4eXT9vw8yMnJkzDyzHBh80H2BtrchMH3emH0KWZmF+IbNzT0NTuLa9jZqcaWWhOSBK8XWhKvF+SluRnXnmEvalUaGjCmiQkYdJbor6rSSrdzcxhnLAbPDEWzLPi2uqoelR/5EezzzTcxP6urWn12agrHYj+iVAoeBYq9PR6cLwlWTQ3+rq3VMGVzM4hfRwcI0MgIjDsL2nV1aX2XSESFujMzOF/Wkbl3D+8nEvj8mTMY99ISPptK4XoePozrXVeH+b55E2MZH9e5YpuAUAhk584dvM62GQwRer1a92VxMf2+tupfwmGcX19ffuHJvTRYxSZHmVLHy9UwM/GAxHkvUC73gUF+qCjisp0bqq1Ni1G1tCg5SCR0QWcZcabb8jixmPZrcTjwpOn3Y+E8cgRPly5XeiYPFwdrCIPpzzR2ySSeIEVU4xIOp6cKZ/JOUDtizUJi59+HD2EoOjtBRnJV6RXBOJi5YYW1gJ3LpZ4WjoNji0ZhuCIRddvzOPaUVBIZEW3IR9LocOAzHR24DlxAzp/X2iM8DkNiR49im6UlGLpUCj/BoPbYCYdBCg4dwjX1elVU2tKCbcfGQN7On8cx7tzB66yN0tysWTILCyANm5sw7vE4vBRWgsIOy9T00AtTXY2xpFLqaSEJWF/HOdXXY2xjYzgmi7zdvw8j3NGBcd68ie14TzJcMj6OcW5uYuzxOEgai+l5PHrs+XkVHNfVqZBWBO8fOaJVo5eXNTzm96sXq6EBn6muxjjW13HuqRT2x/Tn6mrMAcXdp07hu7e4iM/HYpiH48eVcPN+W13F6wMD6Sn3Tqfqluz1ljY38f6hQ9j32BjOKZvhzlfYW86GPxPsRGi7BSB3AxTFU5e3F9jP4ab9iIoiLrmQbWFxubCQLy2lb89MomgUxCMeR7zeeuPyCXZ+Xhvcrazgtb4+GAV75o41XHTnDhbyxkYYpvp6LLxsBOh2aw8cGm1rPDqTWNDqHYnFdFEnkaCXwj4vVq1LWxvqgdjnylrAzvp/NPpo6IvZNnV1Gr67fRvG5soV/E8hLYvsDQ3BqLW3w/guLcGABwKY+4sXtZz7/LyWjuf+OZ7aWoylvR1/NzRoQTaGVbh/hwNzNDWFa3z0KK7Z7CyM7dAQjuvxwAPhdCoxcTpxXSYntUP05iaum8+H4y4sYBuvF8cmYeG5+3zYz9ISxnzpEo7LEIbDgWMxZNjYiHO8cQMLeSSC+4ZF6zweeDXicfzU1+M+C4Xw/+HDmkodDOK+JYELhbBP3nesoptIaGjN7QZJevhQBcr19ZiDUAj7Coex33v3MJednfhpb9e6NFev4lzeeAPbeTzY1/Q0rtmJE5iv+XmQmCNH4PVh2jwfFKz3HLOw+HRuJeIkwd3del+3tOD6zs7iGmSqe2Ql1/w/k3B3J0/k5UB6rA8c5eZZKAfSUOlakoOGfUNc7GJZK+wGWSQ9lCSiWQ32z125gsWWqaMuF44zMYH/+WRKbYj1OLW1eEL2emFQBgZgxMfHsVjTENFY2AlHNKpP1MGgLqaRCIxoKIQn2LY2uNnX1rBw25+0hoZUJEWSMzyM90+eVDFwpnRv6gXoRaDgl5kg7CUjgrkYG1P3PT1R589j7NeuQRvxiU9oN+TlZehZRkZAICiiTKW09DznpasL701PqwFMJmEwqd3wepFtMzuL46+sYF64YDOEcvq0hmlo5CcmcJ1YD6ehQbdvaMD5Li3BIJKMMH25u1v1F8vL+E1vRG2tlu9nSjXTgj0evQepVers1OJ7PHYwCDITi+FvegrYW+j99zGf3d3YT1ubkoNAAMdfWYGmJRLBb68XZKerS0W+bjfGPz8Pb8/x43rt3W7NeKKAuaZG0+Ddbnw3VlbQ2fniRbw+NIRz8PnwmevXQeBqajSd/MED9YqGwxi3z4d5oqA5mQRpY4aYXVPG+5VP7vz+iuj3JhjUcKo904j3CD1E1E3x+1hIkTor8iU9pSQ41vXOvhbuNQxpMCgU+4a4iGRP182WTcTXmco6NKSakaoqTcPt7sYPq6pOTIBoUJiYrcbJsWMwNI2NWvAuGtX9z83heJlSl61Vdyk0JHk6cwbGJhTSrBgRjeVbU4Z9Pq3oy/MdGRF59VX1Kly69Ki4mOO4eRMZMWfOQOuxuIh9WEvvU7/DJngPHoA4WFPHfT4NE9AAdHfjvD74AGM+ehSf56I6OIhiZUeOqJaEHq7JSRjfWAzvJZMa7qMmqacHRjgchsGi/uX+fWzrcGBurl0DUXI6YVSDQRjaZ57B+7wv6LmJRnF+9JTE4/hMdTWuS10dxsXeOrxuq6sY9507mF+Ke5lltrmJscbjGkbZ3NQQI8OL4TCOPzyMebt8WQ05vRXnz2uvpLU1nIMI7kOnU4W5JFYuF64XvWNeL8bv9SphZPNDkpDOTnzm8GEQMoZmKPwVSQ9PUcszOQmCwvASvTgkHakUvmvs+zQ3h3u2qQn7tYYs+Z1yufA+ww4k++PjGv5lZpLTmdlYck2g1mJ+Hr/Z32q7Xop8NRzb9eoUQngMSTDYD9g3xMVey4MG0/6FpmfGWtafsXWXC25txskbG9O7JYtgIYxE8DRZU5Ne44QiXLqaqf9ob8fxJiZE/vqvsSA2NGCRb2jQYmksBW/tlLu4iP1HIlh02QTy1CntUXPzJhb3T34SY37vPRVbnjuXXgpdBP8//jjG4fHgtUzp0IcOwagwRfbQIWw/O6vGwF6tNxrFeVVXw6A5neoJu3oVc0GSWFODc/iRHwHBcDiQafLEEyAed+9q1VSGiyi2bmiAwWUKcWcnPnPrlhpherr8fpxPXR0+PzqqgtNEAq/39uI++M53YFCpubhzB54OVort7NQKu+zsLILrx1AKQf1NJIK5vnABY6Ool4ba5QLBWF3F3/39OAYzilZX9Zg1NRhfIoFrvrmp4Ra+nkhgjqamNOsmmcTY19f1vDc3Mcb6erzHEJiIej16e/G3241zXFzUZpKnT2OeHn8cv4eGVBw8P69Vb6emlEyuruJ63r+vocJEAmTnxAmcYzisYbWaGiWVFPMyzdv6naZo2KqpGhpCNWMR7DsUUtGxPVvPHgrlvq39rbbrpchXw7HdkEkhhKccwlYGBjvFviEudiEojSq/0NEoFjdWSZ2exqLqdqPhG+tGNDZqt1p6FKwhmtpa9aSkUiqi7el51NXMYl5WuN3YhwieUqm1YWzeGltfXVW3+rFjWNBjMdWF0Htz+LBm0jBbiuJjNp2zEju/X+RjH0sX+Vr1AvSQRKMgSP/oH6lnQwTjmpnRejIs8icCY9verpkgkYiKk30+db1Tj0OvUEMDvCuLizCIbW34Te0E+/6MjOAYPh+8Xg0NMJBDQ9j23Dl4bmIxHJNGlPcCmwM2NmI/IyO41leu6L5aWvC5996DgWVYp64O98TmJo5Pr0t9PV5PJjH+eFxJE6vhstvy/fsadkkktF8RheCHDuFeSqWwTWcnrgPF1xsbeJ3CbHpBAgGMr7VVw4uslEudj7V5YXu7elFiMdx/8/PafXphAfuMxzXU1ten/ZmoiRkexuusKTQ9rXMVjeJaRKMYs9OpGpxvfQuE5swZZNRZReHT05hjFgaMRPAZjyc9dGjVb9nT7vm9EtGik8eO6UOFFdnE8FYh/E5CPPkSkq28IbkExvkSHpM9Y7AfsG+Ii8ijGQLWL/S9ezCMp09jkWZaKFOa+fn+fiyy6+vYl7V+CUMIsZjI97+vT4ZdXekNBOkSDoexPXsmRaN4Om1vxz7OnEnPirAvSqkUjCsXmngchow6GxatO3EC+7KmdB87prVh7Au9XXxo1wuw4SSbBX7sY0qU+JTMGhlVVTBOPH8WRLY+EadSIGDNzSBhR45oobnZWYyH6b5Mb37vPRiuw4e1bQJDHIcPY/7Gx/H/8DDGd+sWiJaIZoqNjMDYHz2K44TD8HzU1uJ1NvdjejTFtNRqTE+r6NXnU30Se/g4nZo509oK4tPUhHuivR0Er75es8/m5jSt26q9WVqC8e3uBrkhSZqbw2fb2zF2Vk32eLBNKIRxksQ1N2tzxXBYM40iEa1Zc+KEis7ZX6q2FuRodBTjbWvD+YyN4R48eRLXbXxcxc+NjTj3e/fgqYpGsf/eXszZe+/hfjh/Hp+rrsbnGhrgoRFB+PHiRQi7Hz7E393dmubN9PnGRm0XwdBkNIrvVW8vrqk1/CuiomHCeq/bs2syieHzDatkC7NatWLF8IRkIx2FhH/KQQhrYLBT7CviIqIufC5KJDG1tfqUvbqKxe7HfgwLN70RdOnOzGAhHRjQwlmRiNZrmZzUXjnd3QhtsKosDbjDoWXXYzEtHtfUhL9bWjSdU0TDJyyIF4ngtZUVGNG2NhgnGrSBARimhQUc4+RJLYzHcvahEJ6Guf9gUDOdWlu19grr05BIBIMI0wwMaPYGdTZcXGtqtCjY3bswsKxZQq0L+wIx+4j75iI7O4vP8on93Dl4AN55BwaUXoBwGMcMh7Wg3tAQzoWN/Hp6YNTHx/HZ2lpsy8aGDImQRFy7hvGfOgWi8P77ep/Qq0ByFo+DEJw+jflmvRWXC0Z5ZQVE9/RpPebcHOZ8agr7bG9XT0RTE64zG3HGYkq0w2GR734X90d7e7pHoaNDK/G6XCCnbB3Q2or9PHyIc2U45PBh7NPqJWHxvOlpkInOTlw3hqTosXO5VGPS2Kh1YyiWXVnB62trmMN4HNdyfR2dq+vqME+Njbim1P4wfMfKu6xHxP8DARAvdqSOxTBGPpQwNNncrILpfAWnubJrtmvUs4VZ7WQiFznJxxNSDNJRLBJlYLCXqCjiQn1Dti9UJKJPZwwrUIw3MKBPdlwkSTbsC5fDAaP4/vs43tNP4z2KM+/fx6I9MoLFk0XarLqP8XGQpGgUC7bPhwV9fh5PvgwLBYMgSuyiPDqqBfNYU8PhwPbxuIaoamrw+ZkZHOvOHYxlfBwL/OnTMF6ch8lJjGt6WguiTU+DPHR0YC4WF7UMe1MTDMLoKIyJywWPBsNj9fUwyNeuYU6ZXruyAlFrXx/GtrKC1xsaMIaZGYyPYtHTp2FIFxZwTL8fT89+P+Z5cBDzyvRbpsgyBNXYqPtIpbSisd+Pz8Tj8DC43RqyGRrCPFH3UVur5eY7OtQjkkwqiWEnaeqeWGl3bU2FtcGg/mxs4LO1tbj//H7N7GHfIBEV4DY04D6ZmlK9lNeLsSeT2rfn8GHVsdTVYbwffIDxOZ2qXenuhpdpbQ37PnQIJGV8HHMRDmMco6OYN4pwqbXhMaqqVLcUDmsaPCv7zs1pRp7bDbJFfdf587gnRXD/hMO4zw4fxn6Xl0FwWB/n3Dl8bmYG15qhIup3WHHX4cDx6E25exf36rlz6V6UbJly2bJrcon4c4HvW6tOZyIXuchJPqRkt4S1+z2cZIhZ5aOiiAu9Kdm+UAyR8MknkxivtxeG6513sIg+9hj2RQLR1QXjOD+v2SYslhYKaTn2q1dBCJgx0d2tISKSnN7e9OaErHPhcGiq7Oiolj5npg4rg1J4yx44IjhmfT3+puFmd+GuLoRijh/X7KaRERhcChgpXK2pwdM5q5NSZHnpEgxQXR0+e/euCnjr6vQpmumhPT04h5oarRz7zjs458OHYfDefRfnQ4EkPQ6hEF4fH8dYWD6fHitmtxw/jvkRAdli7ZvOTh3T+jrmZX0d/586BcPIVPZUCr/DYRybQtG7d9WLFovBs3X0KK4FuxZXV+Nzg4NagJAeLWYnUcTMBob2VOd4XAuvtbRox2oR7OvSJfx9/TpID7OKOO5EAuRkfV1ThFdWQBwoEG5p0Xv9wgWcxxtv4PN9fZo67vGAFFZXaxr+yopmeo2PK5m9dQv3ZHOzarNWVlQMXVWFcdXV4fqKaB8m9pJ6+BDbdXRg/wx1ORwIua6tgSjevashw64uzJnDgc+tr2tbCKZQHz2qvb1YWXdwENvX1GC8KyuPhnDoVWVWoMijBRuzlVfIZvTsVaczIZuWRqS8sn32ezhpvxOzg4CKIi4sPGbXbFjj1NYbkWI8ZuSwamsiAQMhonUeZmbwWiympcudTiykd+7gs6EQ/u/vx/vHj2vYJ5mEMdjchOGJRrGNy4VY/8wMCEFLC56AmWXAKrKLi1hwSVxYHyYW07RRZtFMTWEfFP5euADDwcqyDgfIAsXKLIIXj2u6bF0dzmV6GkZ5c1NL7Vt78tTUaGfiCxfUMDJtNZnEPHR0qLfI69V0WQpK6+vxGsWufX3Y7tYtGKLeXozrnXc0RNbYCILINOq1NVyj8XFNUY9EYBgbGzE3MzMafpuY0Iq309OYc6cT89jRgf3NzKiHg+GdtjZs4/djbMmkakU2NpRAsCZIU5POBUW3DJvF4/hsczPGl0xibHV1GmZhBg6r0bI79cQEro2I6lyY1VZfrx2ZWR2a5Jkkix5HZqUxw21lBcfv78fYLl5U4sbU7OZmjGtmRrOLOjpgzEme6ZmanMS8xmI4ntuN714yCfL/1lu41554AmPY3MSY29q0dpLbjWPxO3HmjHqx1tZ0v9bMOKZFP/GEpuWzqN3cHIgNNWZWY7WwgPuI1Zrd7vTWF0Sm8gq5jJ5VYJwJVi2Ntb9WuRnPciJRpcB+J2YHARVFXJJJ1ZBQLDo1lXkBsC4SrIxL13hjo/anYbXatTUsogw3NDZC3zIzo8XeGKJYXMTCzcW5qUkLqU1NaUM8ERiG73xHjfezz6qGhYbH78fPBx+oR4Ei3MOHsei3t2PBZAdgl0uNX1OTFlRjfY9btzTlm2Pt78dTNtN6YzHsl/U85ubwVEshclUV3mfTu56edD3Q7CzmikYzFlOPTCSC90lsjh7FTzwOIriyAhL08KH2AWIokGMiKWQvnfff19AW64LQ2D7xBF67fRvzeusW5nN4GPvv78c8sI7I+jqMLoWmHg88SBsb+jR+/z7mhHU/SERmZ0EOWO5/ehqfI9lyuZSArK5iTliXp64O+wmFQA4YCgoE4E2oqsL1YaiGrRQ6OjCPFDNXV+Onr09DYePj+r0YGcE5uly4jw8dwnXkPVdbqx7ClRWcF7Ot2trwPQmFNGOqp0fvB49Hu3xXV+O9hQXcC9XV+Dy9JqOjOg6S5I4OzYC7elVLBYTDmPu1NS2gx2w9fqdJmum1EFFvCdeG2Vn1xrCPktVY8bxZB4gkyApr0UrrA1I2o5epyGU2+HzqceT6Y4cJZ5QGZl73ByqKuHARt/bdyLQAWG9OawdlZj3U1YHosFnf4iI8FOyvQt0KBawsrMVuwiIaX2cF11QKx+rq0m7BfLptaMDf9fWqARCBoZmbU7ErM1jYUyeRwBMu9SBtbSA+Y2P6hEwNxdGjmm7b3Y1zjMdxPh0dWmjs4kUVodbWIjzEUJTTiX1TO8GGgOvrKqylEZ+cxJyeOaMCU247M6O6Cnp5NjdVtLu8DCPMFNfaWlyH8XEYk2AQ5x0Kab8bGuS+PpCckRHUV0kmQdp8PnzG78c5LCyo54skY3MTx6quxjHYYHFzE3Pd14ffX/+6VpBlSGNiAp9jSu76uhqg5WX8rK+rnmdjA9ersVHJEV9jPZKVFXi42JKCbQMiEa23wsq2TM1lgcRTp3Av1dXhXFZX1euwuIhr0dwMcsYmnPE4xkNvWyCAfSwtgajV1+O8h4bQhLOpScNx8TjuLacT187jwfmMj+Oc6BnifNy5I/L886jRQ+H4vXtqMFiWgM1Pmf7+4AHmgcUUEwkly/yO+/24Hpkahc7Pg6xeuaIPGnYyQdI1MYG5pYbLCqvXwZptZA8pZdp+K9hTrTPBhDNKAzOvj6ISyVxFEZdM6n9m/FgXAHt64uYmFtTWVhiWWAyGhE+/1H60tsJgWEMXkQgWNqcTC9jhw5pOzGyNREL1FF6vCkZ5zI9/XGtlOJ1aTyQYxP56e7GQi+DYDx9ibBSAWuuhVFfjs04njM7x45qqS71FVRXGPDSEY3k82OfSEhb0nh54I27d0kyl5WUNUbFaK/vosFbIvXt4Cu7uVkPNsMvKCuYxFIJhrq/XrBp6iBhya2oCUZud1aySP/szGJxTpzTFWgREq60N58An2oYGzCvFtx0d0HJcu6ZakvZ27LumRpsK8vp0d6vOhI0CnU6EwhYX4bWprtZ6PuzHFI9jbJ2dOGZVFcZB0bLLhdc2NuA1mJjQcBu9M7xvolENVVEs3dCA4zNNmteyvV0F1iI4fm+v3rvLyzgm06EXFjQrKJUCoQ0GVcMjAmLAsNf4OAgo9SIUG0ci+P/0aQiuEwlsGw6r8NvjwbzF47inmAW0uAhiee4cKvsuLmqbgfFxjIvdp71evef6+jTteXQUJPTwYWzL6rUi2N/mJo7LrDa2W2hpUbF7JvJBAT0JdU9P7nVnq8q321n4tyI6xQhnlINBKocxWGHCRI+iEslcRRGXTMi0AFgXGopRHQ6tTNvTA+MlghuYtVwcDhi/e/c09n7jBoyx243PdXbCAN++jQU1GsWC2tAAQ8kFeGpKa1qIYL/d3ViY+WVmkzpmOTQ1aTuAxkb17jgcqjn43vdwk33kI5pNw9BMNIpzmZjQLJCNDfV03LunxdUiETz1JZOqmaBXgoJPv18L2tXWwigMDmIcb72lLntWxGU6b1sb5nx+XrNn2DMnlQLZWliAoevvh+GamdG01suXcexgMD1dnRqj6molk/PzSl5OnsT7wSDm/fJlnBdrgXi9uE6bm9gvNUy8fkxBd7s1y4YF4pgJRMJDYWoshjmkt2J9XcvlswAhs2BcLi2vT+PMcODUFK7Z5ib2X1eHMXV3qydNBGMSwX3ArKf6eoxtbU3vB5LR1VXcJx0dWi7/1i0NOblcql9h+j57G83MYH4bGzF+Eq65OWx/8SLGQ48iiS6rIDNTi3WLqqowruZmLQ8wNweCzcyky5c1rMSWGE4n5p0Gh0JzfidYTbqrS0kxiyUSdoNFAT3/FsluZLeqfGtf+As11qUy7qU2SDupPbNX2O/6ne2gEslcRRKXrb4M1oWGQs2RERVeWrses8syU0l9Ps3AYG+Zt97CQvyxj2ltDfbNoVFizxVW/LxxA+/xaTgWA9m5eRP/X7iAME0qJfLaazhuby/e83iwr5UVLP5LSwgptLfDYLAEeywGAzM1pee5tgbjySfSpiYYgNlZGOiREfx94wZc+X19Wi2V5fvjcczL6qoSmsZGPJUvL2P71VUt3PbwIQwItQxsODg7i7lOJLSHDzttnzihFWFZcp7ZUD09IB9vvQUjTlHwhQvaQ2p6GpoXhlguXRL51Kfgtbl7F2OjcVtehmfk7/5dzPc3voF5OHUKxx0dVU8Ar1tnJ+af50qRbn095pUZaGyyWF2NfTAtnD2MWMGYLRcYTmIIi5qluTlsz3o9y8sgBA0NECyzv093N8Y+MoJzZBgnHteaRSycyNfCYRC9pibtbj05ifN84gmRz3xGa89sbGCMGxvYP6sec05PnMB9ODSE69DaivuPwuNwGHN+4YJ6oSgGpi7r0iV85uFDHHd5GedFEjsxAZJ15AhIF/Ur1u862zT09elDSHOziqLt3pFMBsuaOp1rXdlqYbe/n20/2Qx9pu2LUca/1AYp0xjtY6lEo3jQUIlkriKJS74LSSqlC24ohMWPIt5oFEbqBz/QKrZnz+I9hgQcDpGPfhQLY3U1PssQCZ+E6+oQ1mAa7tSUkoq7d1XUe+YMthkagrGjqPedd7Qrbl0djMT4OI7V3o5xLi4iM4mLt9+vAuFUCk/j7HdEL05Pjzb6e/11LcoXi0FEbM28OHxYOzvPzmrKLVON2fTv1CmMLxLBOTJ7xFqw7eRJbOd0qkdkeRlGiineg4MwSGzQx5DFuXOanjs1pQXPVlaUmF24oC0X2K9oeFgr7bIxXjwu8ud/jvevXlVRLjVBvE86OjBevx/nurSkDS2puRFJF+jy9/o65oAaGV4Tehb8fu1d1N6Oe2ZyUj1pFHtOT+M1ppTX12P8rIpLwXNTE/bB8v51dXodmppwj7I1wvy8EoV4HCQvlVIB8fPPq7h2dhYar1gM5LG7G+OprcU919urHry5OZCzUEhDcGtreq3olWA14WRS5JVXsM+PflQ9XtTKNDdrPaFwWNOh2QDU2lOMsAphXS4tjldTo1liW4V/MhndbOtKpoU9U0ajff2x76cQYlSIwS9GRd3tINMY7WOpRKNoUP6oOOKSj3uSX5a7d6F98Hg0VZRelsVFGHwaM58PC96dO1hEm5uxQF64AI0KXdT//b+DHBw5oo331tdxXIpi2aSPBeiYIeLzaZ2Hs2e1509DA4gNGwCyo3QopKX9V1a0/8zystYTcTpBWpiKyboaFCbSbd/XB5Lw8CEMPRf5734X+/j4x3HODQ3YdnYWc0StwMSE9kNi5giruYbDmnnV2wtjNTenT8PvvINtTp3C+4ODIFMf+xjm9/597TfE/lDsPPzGG0r+WMMjEIChZd8dp1NLzNNDs7ys3ip6MW7d0oJ4vEcoVKZHpK4Ox1lZwfl5vbieLGzodmvohIJknw/7ZKovuyfzujMkw8ydpia8f+aMhlhmZrCPZFL7P83Pw6iL4JgM5TQ1wTDz3m1qwnXv6cHnFhY042hlBdsxpBQM4nzOn0dY5tYtvJZIpDdcrKqCV6eqCoTyyScR7pya0iJ5S0sgRCK4Lzc2MH4WOzx6VO8zip9TKZxfdzfeO3YMn3vjDdwjTU24TxmGjUSwf6uOzfr9p5eJwmYSna0MfiajW4iRzeURybafQohRIWPZK69GpjEaD4vBbqDiiEshLlQa3bExddFT0EivAUWJtbUwqMGg1iWh8auvx8LIMAozU65cgUGZmgKZ6erCYr24CGLxIz8C4zM5CcN36hQWbmoFPB4s5j09MATWdOiqKoyvvl6zTB4+hKFsbcWCby2hvrqK8bGTLvvPbGzAUPT04JympkC6Ll4EiXrvPez/1Ck1XCIaZhBRTcbkpIZVGDJgkbX+fiVcCwv46ehQkW9Li1ZCZYjozBns74MPMH9vvon5+sxncJ3cbhx7fh7zdOoU5v2v/gpGNZHQcTCV1uHQrBqPB9eT4UC3G/PKkMitWxiL34/PBwIw2iwA19OjheVYCn91Fdfy0iWtD1RTowXQGGZhN2uGtkRUpOz1YpuNDex7fR3zzdAKvRLsTVRdrVV6Nzagb2puxn1NoTZFyxT19vWBbLCGSkcHCN3t25jPGzcwxulpkFIWblxcxPacq5UVXJsnnsA2rNTMSsUrKyA2LS24d1hEkKnxp07hOq+t4XMLC/iOXLiAc/D5sC+/H/cQu28ztMS05wcPNOsrFEqvUr2woCTGWnqf967IznUk1gKV7C/GY+W771J5H4qx32LpbIyHxWA3UHHExa7wt3c2ZoXbZBIGgp2FOzthAFiMLRjUsvrNzfDOMGXU51PRYTiMBfydd9JDHOEwFmwe9+FDhGBSKQ3vsHIuG9lRwEnjbi3zPzMDg0Ej9957auT4tP7wIQzBRz6ChX94GEY/FtPwEcWejz2Gc/w//weGh67ztjYYCHp82DsnFsMYRLBf6hbq6tDyoL1dC7SdPJleFI9P0QwF3b2L+WcZ+gsXtGz8wgKuHb1T7Ni9tgYywjRskoBnnoFxZVVar1d79bjdMOyHD6v4dGwM18Hnw3HPnME1oA6os1NFug8eqA5ndhb/z8+DDCQS+L28rKENNjaMRjHm7m7MlYiSxQcPtNJtd7eGnViYb3ERBpw1gxhmYtl7v181JAxFUehdV4d7+P591Vkx7TwSgfejthbnaE2X3tzU3lleL+55NsocH8f+lpY03Z8kiCHTaBTX1Jqm7HLhHKqq9D5ubcUcjYyAMImAIB87Bk/mvXt6zAcP8P0ZHMS5ca5FMGbWW+rp0evKyr01Nfr953pAUS5Ji72Ror0SbiRSWBE4FqgUUUE9PzMxkbnKbiHYDnHY6jO53re/V24iWgOg3LKyygUVRVyiUV1IGUu3pz4/eIBFLhaD8a6vx0JYX4+Fqr4ei/LcHAxhUxMM+dGjMCTz8zAUTH2uq8NC+957WKjZg2d5GduyudxHP4rtXC4VrrJ77+amFodbX9cS5qw/w/46TEOlQXe74c4fGMDimEiAIASDMDSRCMbU3Q2j0tGhKaEsgLe2pgJSGr5IBG7/WAxGhloUihsXF3Gezc343AcfaDjsmWcwLw8eYCFn6Xv2R5qfx/E2NnBe7e0izz2nqdIUhT7zDDxWiQSMx+AgPjMyIvLNb+J4c3M4t8VFnH8qhTlh52J6s+7cwXWMx7UJYCCAz/6dv6PZYktL2uKAXiSSkiee0IyvO3c0zBaNalp7f792kSY5djpxzIUF7JdZQcPDuDdIPs6cwTisGpdEQusBkdxsbGi4qacH+5+d1dYT4TDuT59PSbnDAdIyNaVho4EBzBsbTjY3a9VgpmS//jruWa8X90s4DKLBe/DECS1Ox6KK9fUi/+AfaEFEphSLYD/Ly5i7w4dBHFtbMZ9jY3j/2Wf1e/zd74IQnTuH7dms0e9XXRM9icGgFlxkRV8Rva+YyUWPE/Vc1hRqayXcfIrAWcFsLv62I1OV3UKwHeKw1WdyvW9/b7shnkyG1f4waQ/t7ZUhrkQSYAhlZlQUcaF3hB4XxrcdDizanZ1YsNvbYRxSKRiQo0e19kpzMxbJ5WXcEHRli6hoNhDQMuPhMIwpM2+iURi5o0e1IBgrzXZ24nPDwzAQySQWRnonlpaw0DNsU1WlBm1uTsudNzZqlVl2Nm5sxGfGxvSpngTtIx/BWO7exXZMf56bU2/TxoYatYcPtQjb7dvYR3U1iB6NXEsLQmZ88qcR7+2FkbAKd1MpGJnJSe2GTI3P7Kx6dijY7OiAUVxYwGcmJ3E+x45p64CpKSV+4TCeijs7MX/JJN4juSIBcbtBVg4d0u7Cc3MgOszwCodBMN5+W2u1LC3hvWeewefq6rB9fb3eb62teG1hAXMYDquxZyivqkoL0Hk8GqLq6cH8376tmW4dHZjj9XWt2st74MED9ZJ4PNiOYlVm/dCbsrKCsbO5YnOzdnu+eRNzGY8rYVpdxfmQpLMNxdycGl9WqD53DmOm+LumBmM/dQrbvfYaiEMwiOsZDOL6TE5q64mREcx1OIx5OXFCP8+O1b29uDdDId0fSeDUFMbW3o7z4veaImxqj0R03rq7VbvEtYLhSq4ZLpeSkGz1WaxgdWsrGD5i+vz0dLoHoxADuR3isNVnctWfsX82V4in0K7W9odJe/2cvTLElUgCjGYoMyqKuPCpik3lvF4YErqfnU489bMo3d27qulgrYnubo2nsxR+NAqPClNMT52CAZiZweLMxnjt7dj3wACM0rVr+ALcu4dF89ln8X51NQwRU5HpWl5bw/FbW3GMZFLrfjz7LEjC8rKGtERgVN96S/UAhw9rqvLCAvb/9tt47f338ZT7oz+qZdn5pM0CZ6urGEN9PeaMRc5WVkT+5m+0HxQzsRiiWlrCPCwv43jJJOauqQnzUVuLJ3imhFvTpScnNRuHPZgmJ2FYP/gAr/X0YH8M24lAR7K5CcN5+TLGHQyqgUsm8Tl6k555BufIcNShQzgvdoNeWNDwwdAQPuN04u+VFbzHQoGpFEjC8eO4RnyaX1lRQhMOYz4oqGXDS59PKxWzrs3MDEhcTQ0MHVPeh4exP4brVlfTO0Z7vfg8yWEwqIJh9vFhKX2GVqqrcd8fPYqQ4IMHuIZsjkji0tmJsY6Pa9l7thygwPjYMZAE1v8h5ufhCVlcxDbd3dgf22qwRksigfEwQ2l9HffJU0+BKHd24typITp/Xlt5OByYq5Mn8XlWZY7F8P3t6tJq2qzLQl1Wayv+ZtFBlwtjZYsNZoZxLdmONoPhI4rZWQ+otbVwA7md42/1mUz1Z+ztC+xaoEzIZfDzyYiy18/ZK0NciSTAaIYyo6KIi0i6i9frxY24uor3qqth9FjxlqXwubgx/jwxAWPIqqYzM3iyjMc17LK4iC9rIIAFs7dXC6E9eIDFeWlJvSjUMtADwRoorN768CHGRKPIEMArr2BRPntWa24MDyNNu7MTP3Nz2M+lSzDO7OPjcsH437qlJeh7e7GwDw1hjgIBzZq6fRvn1dqqIYCrV1V0+b3vYQ6np0HSzp9XHYa1xQFTj2dnIUCmCJn6iOpqbUpZXY3fND5TU5j72lrMT3c3nsJra3H+8bg+fft8MJjT0/ifgs+TJ2G079/Xp3yKbA8fxtyNj6OuC7U71mJ+rBfCmh8jI5jT+/exH2bMLC9rTyGmRtObJ4I5ZwqyCLZl+Xir0V5YwDiZVcSMo6oqzWbjeyKq4aiqwt/9/eleIH6WhQqZOs3XPB681tCg2W8MU7KBpMMBUlZdjdfZ2iKZhDeINXBiMQ2LnTiBebl7F/dQe7te481NEJl79zSLi3VwRPA+Sd7UFO7TM2e063QyCRI7M4PPDw4qkWLXafaxSiZVJJtI4HvqcuFzLDbY04PvIIXCIiAYIup1KTRcZEdTk4rr2fm9qwv7KaWBzDfksVW6skh+BCuXwc8nI2onKdrFDO8YErB/UFHEhf1/rH0+eCPW12v58tOn9YmLzf9YXXN6Wqu09vRg+9VVGO/lZfVE/NVfYTv2D2pthRF/8ADHefgQiyo1DIcPq6j0yBE1WIcOYfE8fRrHefgQiwXdyyxgt7aGH7p1maLLuh3XrmkxtMOHsXgfOoQnPpaWj8VgIJuasPB/97tYlOlVmJ7GmI8cwWfr6/GU+vjjIn/5l5p5w9CUw4E5PncORuI739FGgfRypVI4xu3bMI6xmPaGYhPL2VmQjbExGCe2Fjh3DmE3aj8oQg0G8dnbt3GNamo0HNfYCEPm8WBOk0klSsPDWnyP5M3txly2t2M/S0swbrzWkYg2fKytxfxSGJxMavsHp1NL5zc3Y1+pFOaHhdooUqaeKRpVr1oqhfOmF4qdjEW0rYK1fklNjRYgrK4GoeU9uLSkVXtrarRoH/VFly7h9UOHtD6MCK6h06lVk5uacD2bm7FviqeZUURi3tys3ceDQWR/sUZNRwdId0ODprWfP69l/IeHMRdNTVpAsbkZ/4+Pa6iH2jG2oUgmcV4nTqgHldlDTDMXUaPKsNT8vGZ0RaP4rjid6VoXtk5guIh9zBhCyhc1NbiHampwP1przlDPEQgUX1ORb8gjn3RlOyHJRBQy7We39CKVGN4xKD0qirhwccn0GjUILP0diWBh7OtT97vHg79nZ/FZ1klJJGBYSWLYOdrpxKLJNFRWfp2awgLe1YVFlwvWrVv4Im9s4MvW0QGjE4upy539at54Q+TTnxb5+38fi9tf/iWMRHc3DHIiAQPgcGAhDgZhWP70T9W78sQTGBsr6NbUwCDfvg2CRG0Ji4cxfMJ+R8vLIj/8oQofz5zRcvlMQ6ZXij2Zzp3DsZaW1Kv0yiswUOwxdP48jN/16+qKJ6no6sLnhob0qX9iQkNL7MnEzCV222aqNqv/sjrs/DzGfeKEjqGxEZ+lZ6CpSTNf6upAQKamtNcR+wH192u/qsVFTU1nmGNhAeddX6/zwFYLInp/xWK4f9gXi9WQPR7My9ycCo3poWNxuWBQG2xSI8X0bOp8xsexHQkWPQy1tZraXV+PeUulcH8xdJhK4bMLCyCtDOWNjGD7tjZtb8FwJT0X3E8spkL0vj5tB9HWBnGvx4N7rq8PIb7r13HPMXuKFW8TCcwn+1A984wWk1tbUy8KDRaLSrI2kYgaVWYT8sGG71k1HFZjHY2mG0R6bXIZx2xVYe374rb0/jB1u1jYTsjDOnZ6jkXy06xkQqFZWdtFJYZ3DEqPiiIu7CQrku7u5NNUWxsW50AAIZS7d7EYs2ouf2pr8ZnFRRWwNTTgyXFsDEbk6ae1VPzgIHQdLhcMwvQ0Fu5IBMdtalItCb0K6+sin/iEpkYvLmoK9OHDyLR4+BDj+d73sLg3N2MMtbUY+717WKgXF2FIEgkdd2srzr2/H4aKfWoWF+EZaWgAgXj/fbxP3QKzgOrrtQ7I1BQMCzO2Ghu1ki4/yz49p09jDGz4SCIRj6swtLVVt6mrA1kZHcX/589jzMmkClaXljCulhacw8YGCBC9LA6H6mJICCj8XVnBZ1npuKMD9UsePkQKOz0eySTOi+nHLB7H7C+G1NiocGICn6upwdhXV7UHTiqFc2fNGD6p00vFkBbJA7N0SICSSVwvhkjYJoL9hmpq1JvCrs1sMdHbC0P/ve+puFsEY2JtH9aWYao2w0g06OvrWoSwsVE9RGtrOH+3G9dofl6/P9PTmINLl7QYIOvLjIxg+2gU51dTg22TSRC8o0fx/8gIjstrxjno69OChRcvYpxzc9qDS0SNLomivW+QXYi6VbiC1yyb5yETMlWFFdEHJ3tIht6kYhvd7YQ88iUk+RKFnYbZ8oUJ7xhkQkURl54ezezhIsWMD3pe2Fvl5k0slG639oRxOhEW6e4GERkawhP/xYvY18mTEAyKaG8hnw+L8v37atjpCWARuVQKBvPxx+F1YZM7doK+fVvTN3/kR2BsmNr6xhvYht6RBw9w7MFBPD3SgLOnjd8PItDZqdkSrBzL7tfLyzACkQgMBZ9yPR7sl83rEglN8d3Y0AqkLS0w3oOD2meHPXfGxzXD6sgRFaKurWkJ+JkZjJcpyV1dOB41RBS8sgszdUAMLTGjq6oK/3s8mnk1NYX56erSp++HD3He7e0wrL29IB4+n3rL2FZgclKLm7EuDNPj5+dBIliEj12eeV9RNLu4CME0BatMr3Y6NduK92Y0qh2ol5bwf18ftqWGhmGGuTm8TwEzvXMbGzjmnTtagJBtGI4fx3yzOaTbrc0Dr1/Hfdnfr6GpkRHMDcloYyPIEfszHT2qnbDZwoL1VRwOndfHH8f5vftuevn/pSXMy/KyHq+3F/tmcTuvF4T65k29XokE9k3B/LFj6WSFRpfzSk8SvR9subC0hHPaKrTBn0JCHj5f+lojkt2r4nBgHNS87DWsIbVc4StrZpD1/0zbWUP2xUYlpi4b7B4qirgwI8T61MUMgaEhLFw0fi0tWiOktlZTf5kNQoEtQyRMjWSxqtFRGP2lJSzSzz4Lo11XB+N76xYMDUvuT0/DW3L2LIzonTtKDrxejJ09VI4dg3H4/vfVcB09inGyaSC1ECzrPzSkhv/KFRjh11/H2I8cwVi9Xhi2cBhzMjGhngCfD8YjEFDjf+gQxsFU4rk5EAr2tWG/IXqbjh/XxngkNzSgVVX4//hxHH9+HvPFsAm7ArM2x/vvY47a2vAeS7+zhPzYGI69uIj99fVpeIsiTNYwWVxUgvLOOxgjtRoshEdhNLtCU9sSDGI7aixYrZfizpUV7U7MLuE8h/l5rb3D+iskLg0NSvbi8fTidSyax9eOHsU4eb1ralSAzQwphgfZE+vpp1VzsramJI09lEho2RKAQtpgEMd77DHtpB0OaxgnFsMcplLIUOvt1XL+9fU4BgXAo6O47ykeZid1pt+vr+NcOzq0NtDAAPb9wQcqzm5t1fo4zJ6jsQoEVEhLwhCNano+1wRWC15aUmG31eAFAiDibLkhouEcNl/dKuRBskONzMqKamrsxjtXR+liGGX7PrbapzWktpXnZScammKgmGE2Q4D2JyqKuESjWkLenmLX2IjFcHAQBqS9XRfd1VUsaswwuntXM0QoBGQW0aFDMOxvvw3jSS/G4iIW1tZWLHJPPYX9siT8w4cgIp2dIp/8JAgFe+usrcFQHTkCo3fvnpb9b2nBa/X12kNnYUGbAdJQ+P36RH3tGr7UNJ4NDdiWJer5tMyncGp22AgxHtfMGNYloVue+2QDxrY2ED72YGKIrKFBs7co8BwYgCGan4eHobMTxxoexthocKglof5kbEwruzJFm40FKUqdn8fY2tuxL86ty4VziccxlnfewZw6nRjjU0/BK8BaJH19qhtyOrWaa0cH5qquDsdk9g9rxvh8Ksb8xCdwfd57D+SLqdNsTCmic8n6LisrGCs1KYuLmu6cTKq3Jx7XUA89LvRY+Hyqfzl/HmO/eRP7YJFCeuZaW7VC7MgIzpudmz/5Sezv2jV8ZmkJ42ZxQFb5ZSZXR4cSNNbxCYWULD/5pGrFfD5tnhiLqcCYqdpnz+L70tiIXlVtbSA/nIuWlvSnfnogGebs6VHPAckBv7d+v+rUMnldKIYmGM6xNufcirxYdS0MBTFrMdN2mbwRxRCc2vdRzFDQXutKihlmM+Le/YmKIi5jYxrLb2tLV+0fOYL3WSvl/HksSLW1mtYci+EzPT2oqMoiZ7W1MBgLC3jvxAntlMx+N7OzeuPfuwejd+4c/l5YwOfpjp+ZgdGvqsKif+OGhooGB+HC57EaG5V43LyptSXY9G5yUkWvjY0wFnfvwoiwLsbwMMbocoEIMFzkdMIAU2tBwWk8DkO7ugpDcfGiFn67f1+fhF0uDU0kEpgDajtYIXZzU93209MwgswIcTo1tMZaJnfv4rzY06e+HtdveRleJWpYWGhseRmLTnMziAW1E088oRoXtnBYWdEmj/RgtLSgQF8ggGN3dGCOWMCOWpf5eS1hT/Hq5ibuBRqmREIFzVev4vzjcZCAmhotlsbQEOeIOpJAAO+xng6JUjyu9WlImHp6tGZJdzfI3vi46rJINtm4sL8f43//feyzs1Nr8TDExzYB9+7hWrGKLuvbULOQSGA+KGivrcXfkYgW32Oxv74+XB9mIcXjqFFE0hkK4Xgf/SjG/dZbWlSwvV3nXQRjs9cDYQVgNnbs79fwEWuRWLUqTJ22h0SojYtGQdba2rRODZtc5qPXsIaY+JvZTiKPhqMyoRjEwL6PfPeZj5dkr3UlvC7F8JLsNQnLBeMN2j4qiriEw1gseRNale1dXTCCjHfTcNTUaEl7VtmlwVheVkHm+fPQn1RXq/aithZP8HNz+CK1tqqBGhzEQl1bi/01NakW44c/hHalvx/udodDS6/39uJ4HI/LhQWT9U2SSeyLYkxmXtTXa7ZLPA5DSK8JtRfDwxg304ePHdOGjcvL+FxHh76/uKhpvCyax9DSxYswdskk5oa9ixj28vlgkJj1E41i8e/uBslgYcDHHkNoq6oKxOHuXQ2JbGyAWIig+B09M6wv0tSkzfwmJnS8waDW5GC1UtZkYTVZZpcsLWF71pBhPZaODlyLsTGtP0PdB40xQwITE9qs0uUCwbx3T/UuzPpZX9ewjd8Pskndyzvv4D3OczSqnpWGBhxnYwP7b2/HdtQ9MbTC6rhzc7gfjh/HsaancY+dOaPE7sQJjJHp7Ovreh4PHmjau9OpmWaxGMhgJIJryZ5HbPbZ2orvIHtY9fbinnr1VZzPuXN6H8zPY1sRXNPWVhRzvHkT39Vjx7Df3l5cm+vXNf2fnhuXC+/7fLgWs7NaJdga9rEu+kydjkTUs0MvisuFz1VVPZqxRK8FQ1JbGRQ7gbFrcUodYskkPi6m8dtLo5rpXLY7nr0mYblgvEHbR0URlyNH1BMgkq5sF8GizaenuTkYvjfe0DRevx+kZHhYvQEdHRpaaWsT+fM/h3bk+HEssDduwAh/4hNYKN95R5v+hcMIAbF5YlOTZukEAirGrK0FEaDO5coVGMFEQovncUFmejWJBUMQDx/iNRo/duYNBLQyaCSCc2xpgbGOxdQIMIW1v1+zZhiOmJ7WJ3nqUGpq8DcN3dQUxkmiRm8XvUytrWqAIxF1vfPpfG5O054ZPmGhNRYEZAPM+vp0D8itWxoScrmwLxaZ47h8PnyemVunT8NgfuMbGOPp06rfYdov67QwVTmRUK1MJAJiQXEtiwpSp8J7jiE2erCSSbzP0B3rsQwM6DWJRDCPLILH9GV6x5xODdPwPo1EdN/MOGpsxH1TUwPDf+qUFvojAab3hS0C7t3DMSnenp1VHdjGhraMGBjQRouLi5g7vx9jPnNGvT/sI8WKtIcO4TtDXY81m2t9HWNi5/WWFu2IfemShpfsDQt5DzOt/dYtHINZVlbQGNCDZA0B+XzqkeHDT6Y04Uw6kGyG024YMz3db2V0CzHKB7V+SrmNpxgoZ29QuaOiiAtTgK0uYCrb2YuGYjiGehheOnVKa1AsL6dX/eSCdfs2tm9oAGmJx0F4qL3gEzebLzY2qthydVVFsfRKMMWVPZaYIcLeNmyWyKwOdgd+7jktrR8IYJ/MmODTfDSK82KdELYz4FNkbS0IWjKp/XSYBs06NJ2dSir4GZIj9leiN2V5WXvubG5ifo4eBUnc3EwvJEedSkcHCODICAxrIoHX6D2am4MuaHRUdT5uN86ZJIKNDDc2cH6bm9hfIoHjiOBaHDkCAjYxgfnv79exsgAd6+s0NGDOq6tx3J4e1bEcOoS5/uEPMWfNzTgumyCurWGc9u7E9fWqXWE12rk5vLawoPcr06MZfmP6M4Wx6+uaoSOiqdy1teotamjA/7OzKjy/exfzSE8Ge+uEQpqhxfTu48exDas/szUA55tjY2h1YgLjY60d1kliy4O6Osw3ixMeOYLv2soKNEA3b+Kcjx+H0J1kdHQUROrcOTwYuFw4F2pbeK8zQ4fnfO+eFq+zg9fDSkQYAmpry050rAYxk0HJp25Jtqd7e7VaO/EoxCjvlgEvN6NabuMpBsrZG1TuqCjiIgKjdusWFs9Tp9Iv/tISjHVTEwwInyyTSSy+s7P4YepnOIyFtqcH25O0xGJYcJ1OGNrxcRhLClt9PjWIq6v4m0/mbrcKy+i9mJgAWaAWZnpaxaD00Hg8MLis29HaiteZHsxiYhRO0sMSDGIMJFttbVjYma65tqbl5mnMpqZwDL8f+wgE8PTLzI54XIVxa2uqSXA6VYDLMBRd/e3tMEQMPVC4fPeudoWurkborK4uvf/R0pKKp0kEmV3CTDGGjgIBGHYSra4ubMun+M5OjH1sDOdnNV5M42XzxYYGEC42rDxzBgXT7t3D/uNx1XdYtSzM3GGzQ58P83frlt6ntbUa1pudxTXf2FA9FcW7IrgPGFpLpbTfUyqFe5U9uhIJbMv2EDMz2h+J9XIuX8b9OjmJbZj5Fgjots3NWgE6Hsc2AwPQ7TiduDY3b6oIm/chhbH0zrAL+cYGxlRdjXuA2Uf0ZtXVaa2f9nZcx498BPN67x6uXTSK+WM9JGYAnjqFfd69q6FANkZlDRurF8KazeP3P5qya/dY2Ou/0JMo8qjeZrt1S6xGN1+ilM++SomdGNVSeIWMkTewoqKICz0UwSCMbE9PeirgwIDI889rl1uGVCIRGI5Dh+BKZ8M6VgmdnsYizF4qy8vqGq+rUxe5CIzm2JgujqurWGjPn8cCHIth4aPxZ2XS5WXV37AqKiuSkkwdP45F/xvfUHIioqSFhclu31bhrbWI2soKjNDgoGYjsbBcc7OWyl9c1NABCcDqKrbp7VX9zaFDKohlnReGr0h+6IUaH9ewxcmTeJ01Q6gxcblUJ+FyabFAthhgRhNDV48/rmJbphaz1giFoiQC4TCuAcNxzA6iIPj2bXjKmptVK9Hbi59AQLOuHjzAPo4dU0/DwoJeM6cT+62qUq3U6dM6nsOH8fnpaVw7nw9jTKW05ks8jvuLRIKel1hMw24kEKwmTB3O+jrGw6d+NnccGNAmlePjmjbMlggMh7EeTXMz7v+5ORAGrxcaLxFch1AI57+5ifvX6dRw3He/q8SgvR3zyXkgeaDQemMD81RTo5lgkQgI44UL8LbQg8P06eZm3BNMp5+dxbyQhJ48qVoWdmhm6iyFy8HgoyJZe5qtiH6W3txIJF0HY9XAbLduyVbhpEKM8m4Y8J0Sj2J5hYx4NR17PR97fXwrKoq48En49Gk84VpFupOT6rGYnNRy5u++i8+xTDgX/5ERLIjHj+M3u/FubGAfkQi8Lm43FjU+fTKVmM0D6fqv/duZ3NhQQ8FU0NFRvMYaMM3NuAmGh1VYS5EmQzperwqIabgpQLXqKGhMlpeRsbG5ifNk5lB/PxZc9rYZHtZ9USdBzQb791DbwvobdXX4u6VF63OQwFy8iDHE4zj21BSMsNOpNVAoeAyFYBRWVrRXlMeDJ+hEQgWsrN46O4uxnz+v/YtE8Dn2e2IIIZVS7whL0L/+OkgJ65SwFkoioSX3NzZgOFtaMK+Dg3idfZvW1nDM5mZNB7dqdJaXtU5NIgFD3tKC8S0saDq1tTs3K9l+5CPYx717+ByNLrNsSMCmpzGe6mrcH3fvwvBevqx6q7Y2/GZdEmpOBgZwHs3NSo5bW/UapVIYKwslsk7P5iZ+mMp/+LAeY3wc3xGG8Eiejh/H3D94gG07O/H5/n5tnLi8rLokegCDQdxPJ06op295GQSptRWv9/droUKr54Lidj7ABIO4xxkusy6w9jTbyUloZah/EcmsgyGKIRotNxFtps/vlHgUyyu0H3UtO8Fez8deH9+KiiIuySQW/5aW9IwAnw+G/t130QBuYwP/MyOltlZd0DQw8bg+9dN7wUJuQ0Oa/UFxYiCgmUrWLJLqas0QYa8UVh69e1c1D/SKeDwwOqEQnvbodXE6YZxIFHhsVnFlaXg+8W9swBDRgITDWpXU58P71kX4xg3VBvn92hdJRHUW1GOwwWMioeG0/n4c6/ZtLW0/M6P1SX74Q70WrJzLDsPHj2N79olilV12naZOg9kxAwMaallexnFJLNjnh+fX2goPDA04m2revYv/mXYtomEXESVa0Sjuk8cfx7j+v/9PRc5+v6YnU+dTX6+djvk7ENBeUdRSMETH4mmslMvwkMeDz21saBE5FvKbmtL2CdXV6j1jzZNwGNeBfYlu3sT+L1wAkWxuxrHoZWG205EjWmW3vh7huRMnNOz49tvYf329ZuhR2Lu5ibl77DGQWK8XxybZ7OzEtb1xAwTl0iUtsnf2LMbe3o7v6Pw8zpv34+go7p+PfAQesGAQP0xrZ3dq1jzifcbeRdTiTE1pzRzqkOyhH2uaLdsZOJ3pnhW7DiYXClnMs5EM6+vcZ75EZKfGZKehq0woFjnbj7qWnWCv52Ovj29FRRGXri6tjGn/cszPg3Cwb8/YGIzR4cMwfEtLWMA9HvXAHDsGA1lbC4N48SIWrTt3tGgba8OwgmtDA574We+CBIIaFTbiY+p1UxMMN0mX1wvjRSPNp0tqSdbX8Vl6gSIR9ZAkk6rP4dM59QErK+oloAeI2og7dzA31KK4XBjD2Bi2ZfVeFpWjYJnFzKhlYesEPv3TqL73HuafWg/WAKmuxpjZbXhiQjNiNjc19DcxAaPa1oaxPHyoBKuqCsSJhJGdlkkSqH84dgzbVFXh/UQC1546j2QS88Gu2GwsWVWFY969i9dYDdflSu8VNDeH82EYg6JnEliSWGpj2B2ZuhaGglj/hI0m2XKAWhF6Qay1QZxO9UrREzI2hnuop0crAC8sYBw9PZhPGn2nE2RzYQGk4vhxeC09HszP0aMoRseQ4OIi9rmxge02NiCidrlQQfqjH8W23/++ZtOxKvPsLOZqeFgz3G7fxvjp6ZyYQHgqGgWp8XhwX6ZSuA4Ukz/zDIjV6iruw6UleHvYMVpEywXEYiDXvO/ZkyqRgAdocxPEztpgkLVvWDV7O8i0mFvJkvUBK5vA1y7ezTejKdvxCx2/tY0B19W9fqIWKZ9xlAv2ej72+vhWVBRxWVrCE11/v4rpRLT4WWOjVsFcXsaX/fp1fI5ejpUVddfPzGDhmp6GsfT7ET/3emF8VlY0tZohGz7JUefg8aiRnZnBD8NCzc0q5mRtCRZMW1lRsSUJy8KClntnjRhmSTFMxFi7z6d1Ufh+KqXZRpubMCJMp00kMO5QCIaytxdPqF4vzmFpCT8MdYXDqjlYX0cdEbdba9WkUrrgzc3hnNiAkRV+WR23u1ub9PX04D2GyZqbcZ4kPdeva3ZLQwM+yxTl7m7MYU0Nznl5WT0ITU1KjthT6uxZnN/Nm9qZurVVwxUMwbjd2G5pSckkr43TqZ4bNrpk1g9bM9BIMXWdxI+hpmgU//MaMK2bva5YW4ikjh2cPR4YpcOHcf/euqW1Xurq1BNB7UwkAhLJDtibm5oVxXuTGUqhkMhf/zVeq6tTEtnermHPyUkYWhJNa2NJZtfduaNp/GxiOjmJbd5/XxsxfvzjWs2aZI7ep95eFY1fvw4i9eyzuKZMmWdhxtlZEBGS9dZW7c3U1obzoPaGnrLmZv2eWkGvWqEgMWG6upWciGhW1OZm+mKfTeBrJx+ZMpqyeVW2Mib5tgLIpzu2gUG+sHsRi42KIi4sfU+DzsmJRrVCaWen1osIh7HA3LkDg7qwgP1Q58InS4oul5dhlNxueGUo8GRqsN+PBXB5WZ++u7tx3KEhfJZP3h6Pej9IkChCravDtoGANk2kkJIeChIWvx8kiuGR9nbsh2Gd1VUNa3GRpyFaX8d5sCAfi835fJqyy3TguTldTKlVYSn9jQ2tfcIy/8wQYc2QcBjej7U1Tf1mZgnr67ACbDyuYbuuLq2ZMzqqhICksbkZY3M4lHTQ4G1uwuNEzwnTsDkX1tLv9Gbcv6+fZ3FCjiUW0zozdXUqSLYSlXBY6+Owa/PSkupv6IlKpfD+8rJmJVFAzW7YdXVKEvnkv7GhQuHaWpCDlhbMDQkDS9fX12MfXq82cVxcxHdARMfQ3AySFongmiWTIADsxdXerlqhy5fhmRgfR1hnaAifa2rCPfXuu0q8mUHGxp0eD0JJfr/OHe8jimKffhqeTRYzJHhvOZ1KWJg5xc7vPh+O8/AhzokG3mpsl5exDZsbRiJaZkAkd4PBfEEBL/UydoPv8ymZsotwMwl87Z8vplcln1BSOYUADIqPvRDVWu87avaKiYoiLr29WLCo42DjtL4+FHWLRrFIDQ2BrNC7wXoW1GtQ/Lm6qtVFr1zRWhzDwzAUPT043uIijs8iYzTm9LpQ08FmhQ6Hah4Y1mAGj98PoxEO65M3CQ2Ft14vjH44/OjTOFNOFxawb2bWsMMza9OwuR7DGSQkfOIfHYWBptiZNzV1FqurSr4SCRUas/oqb0b20JmZgVeG4xHR7CqGXGhgIxH1NJB08umY7v1YTBstUrMxNwfjyTG0tYEIuVxaVdfn0yrKDF8dPqzkg52O29txbocO4bXJSRVviui5U3tTXY3j8v5xODAnJJUiOG96B4aHlUhWVWEuSI6YDk29FVtTuFya9UWvTVWVkpZQSPe/vg4iWFWF60rBdjKJ6+R0IqRCQ0mPSnW1kqRjx3BN+vrgnWL20uSk9jWqq4PnhNortmxgeNPtxrkzI4yCZa9XC8+R/M3N4V6rr9eaOBMTyCyiR4rjZRE56lju3sWYz57FuJqaMq8RDPtYm6bmSkW2I59Fntoxelzs7QVy6WS249XYiSckH1JSLE9LOWWdGCiKIaot9Npa77t4fHvHzIWKIi5zc1jgmQYtkl6+OxLRBm+BABbNlhYs0BSSsn4JC9Fx0WddixMnsN3KivZHobFiAz22EGAKtYiGWPg0HIvh2OzXEg6DsMzMaKuBY8ewwM7MaK0S1vGggJgCz81NrbpKPYvfr5oYGlyGcVwubQBH7c3UFBZ81qqJx7Xx4sCAurCpo+BxSYjm5pQMVlfDmNGLRZ3Hxgb2ybRyERgzvx/7YjiMYZ9EAqEcVoSlaNLnwzhJGkVgeEVwDQ8dUrFmIKC9mo4dE/nRH0WGFevKnD2LSruBQHrTQ/YJYso2U3dZhI8EgtqVkyfVY/Htb2NOWC+H59nYiH2SkJCsbWyoOJs1bjY2tKAcRaaspUONELtsi2jYhT2EampAypjpRr3M2JimHLe0iPzVX+F+Yyac243Xu7pwP3R3Yz7/4i/gkTp/HvqSpibM3eoqQjjxuN5fIkqs2ZG8ulpT+yl6ZtE31oZh08T5efUAVlXh+PPzuA/b2tIbKVL0e/w4PEKnT+Oa3b4N0sW1oK1Nwz8snMfXuc1WRpw6FJdLkwD4un3RZpgol2Hggk/S3NW1vfDUdlEMUpKv0SqnrBMDRTE8aoVeW+t9d+CJy/37WLj4dC6iCx0XnFAIi21VlVYYravTWhLsyszy68eP46l9bEw7QNObQKLDmh1ut2YZMZTDrCU+PbPuBhcqa+oxdS18Uj12THUZS0sqLuVTNFOJSWJENONCREM7bEwogv9JStbX8drMDM6ZXh9WibU24KMWY31dDSDFmqyayv0xNERPwuioxvPZtNLpxO/1dYzf4wEpZLiEOgRqZJgBxuqwHo82b2TGF9sNdHVhX3zqZzVbqwfj7FnMq8OhGU5LSzg2s2zq6uCxm57G8fr78fv+fVzjWAzzxGwUluVn+i6vV1cX5pJhN2ZaMeuI4U3qUbxe1eqwiSHDb0xF7ulRoTRFzvX1GjJk+I4eE2qwWLXZ4QDRisfx/Xj8cczDBx+kC6w7OnAd2GySYaulJZCMVEpTqYNBzM3hw1jAWKCvtRXXZ34e89Lfr983FmEkyWb/J3p/mAEmollbDAsxvMS0bIZXXS59IFhc1IJ91sUyk84kHyNOHYo1NCfyaCdma62XXIaBC/7amhLQ3SQuxYDdaGUjMibkVJ4oBnktt2tbUcSFBuDePU2BpAjvwQOkZtbWqkG5dUvd/7W1eIJyOrW66tISLkZDgxahW1jAdvSyNDVhwVldVUPNRZfC2+pqjI8LLL0UFPjyiXp9XcM6a2twwTPkwKdYEW1OJ4KnYbYzEFGvA8F6LqwtEw4rkaJh4P4YuqCbnimurO8yO6vHd7uVINI7YEUyqQaUc2Etitfaiif3hw+x6DF7KRTC2Ki9oBaBdTVYnfjhw3SvxeXLmi1Cjcb9+zhOfz9+Dw7i3vj2t7H95ib2w7ABQ3bJpNZkYaZSVxf0F3V1ILEM23Be5+YwNhodjqWzE6GO+/dV38S5EVEvVCSC/6lxIiml0NjtxjVmMbSuLtwn7e0qnmYGkwjmll4skiKOwe/X+jwUKK+tgewFAipgJhmhKNvjwf1OYpBKwdMxOakNC0nmBwawXW2tFg/84ANNu56YUK9WTw+uKdPaWSG4rg7/s8P16KgKuF0u1fmwqjUz6AYHtVYRyXtdXXr6cyymDRjzyfixwuvF+fEaiaQv2g4Hxs3j+Xzp2UpWWNO2eb+XO+zExG60sj19F1vca0JP5YNyE25XFHF57DEsqK+/jv9Zh0QEpOXdd+FBmZkBESGJiUTwNzM9Dh9GufDBQRUQ0jPCJ9xEAvtZX9enO1YdTaXSiYbVUBH0HvBiM1tofV29IWwAZwdDCyJ46vT7YcysRdis2zDcwGwchipiMa3/wu0WFrRjNDOPrJ2mCWbXcMw0DvReBYPaCFBEC+bV1qpno6oK58h90avFzs4TE8ggaW/He/QELCyoDobFzRwOeD3o4QkENKRGsnT4MM5ncVG1GCQqo6MYM7tPsx7K6iquzeIiiC7Flu3tWip/ZUU9Iuy0nUppE0O2TKBwl6X0WaCN9xZF3lYvGntUeb2YK2aqBYPY5sIFEI533wVJYoYQM5w439SxTE6CWPh82rBxehrE/sQJfIY6MQq5m5pAzJgdJqKaq8FB7MPtxrywBMDkpHo06MGjFos9sjY2cD3m57Un1+OPYz5ff131LR6PCnzZqNPn035iTB/2+bSNAonjyAjG5fXivJaWENZqbsa+HQ5swxBNtsq4RCSC60dBMEFPQyCgIdTqak1bz7aoW9+jaHorlKKoXCHYKiywW0/fJvRUWdhNollRxMW6OE1MaJimqQnpkx0dWLyvX9cUWRFMJPvTuFwgKlwwl5exEFJUu7wMwsFsJXZhXlvDAtrUpKEZdsAV0UwVwlrgjEacnhmrLiITqEegWDUYxLnzf49HvTsiGsayempYx4KaGyv4lM6MKquodW0Nf/f1qbue4l4aJmvIiNk1IkoQGaZjhdoLF2B4Xn9ds4hmZ7Wb8vq6yN/8jeoi6O04cUJFzn/1VxrSYTNFZk4lEhjvRz+qGptoFMd0u2FgOd5wGMafxdsYemFoyO1W4WtHh5KaVEr7+lAo7XJpGI2Gm9ltwaB6ourq8PS/tobPW9OmqRmhyJWF2WgcT58GIaO2iUTsBz/AcQ8dAglnv61AAHNMLc74ON6bndXO2fSAMNOJQmkSNvYQYop9d7emdAcC2J7fh1AI30emrtN7yL+Zzed0KmGnoHp4GNfq5k38398PTxKFtExfdzgwrsFBnOOpU1qDhQLuzU3Mx/AwvsOsCcTaLyK45taijDS81gWXRtkquBXB34uL2LanR0sBtLYWbsC3WuBLUVSukONv5WHZrafvcgtPGOTGbhLNiiIuCwtYpJ9+On0hqalBaKCvD8bx0CEtcb+4qLoCpg6LYFFjqIMiQD7RUXTIXkT0soTDauwYGhFRj4YVzCji+8mkGjsWd7N7aQi2ACASCRAIwkqSfD4YiUydckU0i4jHosiXYR2GlNjQr7VVC+SxJxHrwlAsu7GhadrMUmGTQJ8PCzuL7fX0wBgtL8MrwYJuAwPY99AQPAgTE5pe7Pfj6dTjUYPHRoWsSsvKwhQsLy1hDCxY5/fDcDLUwkw0l0uF2sygor6HJI9ZO6mUngdDKQwBsmszRZwkuU4nSDGzsFiIcGMD25GsMWxHrwer0d6+rZlrTL9m0UWmz6+tYYHgdaAeim0wTp3C/thd/OJFbdrJEAz7Kolgu6kpaGJOnUJ4jZ66ZFI7ibe2gnjF48jCYwdseocokO7oUG1LU5Pquvr7MS/374PMHj6M6z8xgfOsrwdZSSR0AaTXw+XSAnfMwGpp0XMmSY7FQFjZHsAeosmU8WNdcK3Gmp4XERUVs30B37e3FcgHpfZobPX5rY6fKb17LwiEdRwmbFT+2M37pKKIi0h6jLq/XwkHKz+yB9DUlMaonU7c9BsbWBzv3QMRYGpuaysWUVY3FVFXMkuP19erMRNRHQ23t2NjQwkNDSIzhmKxdMJkBz0Z+aC6WtsX1NbqEz69Ikw95f/WsAW77TI0xsq8zHqxnm8yqc0I6UmgxofZS6xtY10Yz55V8eyRI3i6/uADTUeengaR4NO+y4XtWf/j6FFsx/5DGxtaxIw1SwYGYPhu3NC0Z1bGZQo5+1ixkFldHa45K9CyCJ2IiqvpDWK2D+c7mVRvF+fK6cS4GDpiiwB6yNgde3MT89Xbq9eChQOZSk6dDysTs9AcdSGbm5quTQ8JrwsbgjY14VrU12vZf7aEYDZde7t+L3ierO3iduMazM+DWFy8qKR3Zga/6YFpalINFsOP8/MgC0eOgFi3t2O+R0ex7cOHqv1patI5ZRVkrxekaGoK33MRrVvEe/H2bVx/ZhMx5dxKePhgk8vYZUqZZio2F2Frkbt8M5TyOV4m7NSjsdXnCzUwe6FvsBMVEzYqf+zmfVJRxMXhAOm4cQOL/IULeEIUwWv372uNk/V1fRpj1kt3Nxa2t9/GIv/kk1jU3ntPi8uFw6pPaGhQg0KvBJHNW0JYvTB0w6+u6lOsiHp/cn02F5jeGoloqItF7Bh+qKvLHJoiKSGhYcry2hrGyn0QyaQ2hEwmYbyYPcTmhfSQMIwXiaA6a2urFgdcW1Mh9IUL2o26uxv9bXj9vF7tC8T6MxScBoOayULvDEkGvSWTk9qHin2gbtzQtGS/H6SK5fVbW/H/9evqPRHRcGQ0qqEV1l1xOtWbwPNlqIqeOj71M6TmcmndGhIxpqWLwLivr+MJn+0B5uawP47J7QahYyo0C8yNjGg3Z+qM6uq0c3d1tYqiRbQpZV8f9re+roL2zU18nuLs1lZcV48HxjuV0oyemhqEX6qqQEwDAW1RsbambRaoTxJREnzrlmaJDQ5CqzY7i/uCLTx+7Me0QGR/v4ZNV1dV7yOSOXQTiYAMJZM4z2yZMdYFl52irU/3di/NThZp+2e3400o5DOZzrXcjb+dqJiwkYEVFUVcWAyMKZGzsyAnKysgNHfvYvFtbMSi2NKiRoPVVBcXdcEOhfD+3JwW2GJIQATHYlhoZWX742aHYKugViS7tyZfWEW3q6uaXUJvDb07VgIiokXhHA6tUMoaK9nGRC8LjTpDHDRg4TBCBCwgx2Jr1JvMzsLwuFzq8QmHNcOLtVUYiuvuhkGqqoIRZlEzFhhcXYWmZX4eNVtYg6WhQY0mQ0ksnLeykl4QbnwcY/b59DysaeMsTc+QkrXOC1PcRdSrsbamXgGSXWovqCvy+9WIs9YQSR/bGjA9urlZPUIM3ZDgnDmDeZmcxPbj4/hhXZrWVox1ZkZrFzH1uqoK343GRs12On0ac8BiijU1ICisEbO8jGvDysehEEKALS0YX3Mz/qb4+tAh7YHF8/R4VHdEkTe/d+xkvbiovaVIFGtrNeuLc9PainAVswujUSWgPCcavJoaEKpgUBsqcvtMT/BsvrhbBn473oRCPlOJ3go7USk3srWfQleVeC4VRVw6OrRHETMsYjE8qdXXYyF8/30sVC0tKmrt6cFr167BONDABoNqkFiXg8bF2qDO6cwscs0FaxiILQWs4tliwOqZqal5NDNI5FHSYn2dqb3RKOYgG2mxdqjm/pjRwmwp1tlgthKNPlNGmUXDtNVkEkZ5bEzDH++/r94jNmFktdZQSGuOsCjZtWuazcTWAMx0opCaYlYabNZOWV9HuIL9lNhxORJRTQp7/dTXgyQwzMT6KWxBwJR8thNgd3I2Y+QY6uqUpLF2DoXQTieMK1PRNzfx99wcDCwNfVOTEpDRUa1Ky+weetEWFrSxogi+A4cPaxVpar7q6hAeWlkRuXpVe1c98QS8DG+9BQK2vIxjeb24DktLeFhgWjSz+GhomppU18NQZXMzCttRkzI8rJ3R6+qQcTQ9jeve3Kwp8tQxMQOrtVVDNoFAemgnGn1USMpGjl4vSN077yD05ffjWNYFm+UTGhsfTaO2Lu7FXOzz9SbwmPxO2b1L+6m+SrkRFTsqkQxmQyWeS0URFxYta2nB/xTTsjIts4EuXsST4Vtvpbu0Wf6ePYroAaBrfH1dDQaflkV0sWC9lK2ygkTUsJNMsGjcdkFCkOv9QhGJZA9XEUw1JhmxH5NaDHpRWHiM2TbsGURjTILFJ2V6xo4exZeHYZj1dYhFWemWFX9ZNG19HaRnYACGifqEkRHss60NxurBAw1r9fXBGJ88CUIwMoLXmanEIm4kWgzvkWxFItiG6b/Hj+M82HiQWgqHA0aSPaiYSXPiBMbMwm719Tiv1VUts89z53zTUxcKYTuXS1PjqUmi55FaEPZzYo0eFmprbcVxFhYw3xSzj4zgdYa43G7MU0ODpicvL6uu6fhx7U0Vi6lwNxDAsc6dw3VhBlMiAS/Z7KyGqUQw7wzzTExokcVjx/A322KEQhjb8DDm54kn8P3t6ko3yiQUvAbMCvL7EYYUATm8eRPndfgw5oUEnt/zY8f0eotk1lgUc7HP10jzmDxP+7F3q77KTlFM0mdv5rdbnoNMZLDcPRf7idhWFHEZGtL488KCunRFYHhoOBk26erC0xU1AhRCMiOEGROsT2IlBvQYMG14O7B6QPIV22bDVrqXTN6WrbBVKWaSIXZJtpbfdzpVoCoCI8mS99b6MB6P1j9hmIUkzunUhoKEywWjsr4OY8aeSW1tWiiNFZCp4WBaMptcejwaPmDIxuWCQXrqKYzrzh0Ns3R3K/HhXFKwmkgooSCZ4NM4x8bKvPQoMfTDqr3UlzCsyVR5kmGGz0QwNupnWMivo0M9SayYS9K4uqoeszNnsA82OBwf15pD7AxO7xgztOhRTCTggaK38rXXQDw6OkBirFqmqSn1Hs7PYx47O1XQznoxt24pMX34EJ/n97WtDQTo2DGMZWkJRIiNJaktunQJ28zO4vu/vAziFwrBQ3TpUmYjTU+M3Yg//jiu0cCAehKtolwKe+2fty/uhS72mYxGrtesmY58j1o5NqG0H9s6pnyNaLGMbSH7KSbps+5LZPc8B5nIYLl7LnaD2O4Weaso4nLrFp7QBgbwJR4bw+LGNGWGdN57T4tpVVXhdT6hMmzQ04MnOBEtBCaitTWYZbNTwlHJoDCW2hD22WE3ZivoGaA2RAR/swgbqwY7nRpeosFgujMLsfX0aCXW9nZ4VDY3tfgYdUvr61r5dWEBxoZ6k4kJGFUSCZcL2//gB3iPVWqppUgm9cmb9WroIWI4gynUzChLJmHER0a06B+LAcbjIDPMcmKGjNuN8wuFMAZqQugF5Bx4vepNPHkS+6ThHh9XwTNbKFCLRRJDzyLHxDAfBdQPH2KOjxyBMWcBQAqgFxYw1vp6EAd6alihd2UFRCmVwvkzJbq/X8O377yjjSHfeQf7mpyE14Vh3XAYRKevD2MiyWWbgFOn9G/ef6mUpifTw2IFSStrwFgbIPb3q2eK25Io5CIm9sW90MU+k9HI9FoggHNrbsa9YH0vkdAsqUyVeq1jshOvbAalWMa2kP0U8wnfvq9c+y21US13z8VujG+3yFtFEZdz5/RpYnAQhu38eTwRejzQQrARIw0TxY+RiGY5MK3TanxZG2VjI32h2E4IZj+C6a4EvSdEPI4n5eZmGGgRzbYhGH6hR8Tvh8FaWoLh4zWiIVlbg4Fkt+nVVa0H09yM/VHgyY7RbEy4saEpzX6/ej9CIRAYth1gg8qNDRg6axE1vkejRmHo4qIWnVtbS58b1seprobxYO2gujp8lmFJdt1eXwchoV6ovh73c3c3QhqplIpcL16EDmdyEp/r7IRXkW0FWKl2ZQXbHzqE7wM9kS0tOD7T+Fk6/9w5HGNtDdcwGNQwEQnV8LB6iCYnce6HD2N+JyZAeEiQfvhDzElfHwjYD36gXhn20WK6dSikDR9bWrSz+eSkFoxk2QOmPbP7+vw8SNORI+keC/Y4OnYsvSZMJgNur+FiDQ/lm/mzlUG0Eimr0chmSChkZsG8rbbPBPu21jRvepB2mq2TqXBfPvsp5hN+JkKZDaU2quUWkrNjN8a3W+StooiL14uFaHQUC/r581g8GxpE3nwTT40scsaqnJGICiYbG7V5IDM1CKsehSGApqZHewMZwPDZPVH0ZrGiLQ0z07I5v9b0ZnpDYjEt3U99gtuN4ywsiHz3uzCCiYSSTpb7d7k01drr1caMFNbyGPQUMQOLGhMSK3rrxsfxmyX4V1fxHivmsuYNM2syEVumzjN1mn112F2cGho28EwmNZTmcsFAM9V5dBSLbSKBMFdTk7YrmJwEyWlrU1JHLyEzaHp6MO4TJ0AAJidVHD04CCLE8cbjqruhBmxpCcdKJFCd+vhxzIvTibGdPg1ClUph29ZWeGQSCWQBMTRLLx33efq0VmqemoK3pb0dHhZmkbFz+dKSppIvLuJcjhzBXLIcgIhWu7aLa63hEyupsRvuXIYt03s03NaMJt6/1jCPtZhdJiNrJUsUHWeq8VSI4bFvy/PMJF7erjGzh9e2u5/dCi+Uu0ekVNhN7c1ukbeKIi43b2oooKsLxnBiQitqsmbG1JSGgWhY2LfHWleDsC8SFI/y6dAgHZwbK9jgkRkk1gwk6l+Yhk4txOKiVtxlFVl6Wuh94XWbn9c+QgyHkAj4fPAaVFejVgs1TSMjMIa83kxFpkeGNVhEVFy8uqrl6609ceiFoc6FgmRrivTmJrZhh3GSNpITzgH3096OBX90VJsjrq1pGXt6jeg5ev99bYTJhouJBMbGrB5WPiZ57OrSbR88UPLn8aD3F7s1NzSA6CWTuCYUtVqbik5NqeaGnid6nyYntf6K262fpffM50PIj4soK9v29mpLApbxn5/HdaYGjaSAbQpE8D6r4VJIS4/CsWPpYl0iU8aQfaHNZtgyGT17sTqSArt4lp+1h62s+7ATCWuoh9vZDU8hBon7ZWitFGGa7WK3wgvFNqq7RQhK3XuqElFRxGV0FAs947/JJBbs+/dVYHv9OrQFTDVtbtY02I0NfXqkS5raBDvyyRwyUGPc0YEvBT1Z1mJp1Fw0NGhYhXPPsMrGBgwky+Z7PLh+bPbHLs0iMGSbm5o5tLAAo8D+SH6/VsxlHRf2JGJqusulFXWZ/VRfryGbmhpk3jDUwMaJ3C87PDMDiMUKmbobiaiBZJq9x6MtFDY2YJRZUK2qCgZweho/9H6w6WI0qiJhpvczS45tAdi/anER58dsn6EhvE+NkduNMbBzND1gTD+emAChiMcxd0ztnprS7tAOB7Rm09PYpq0N98DUFDw2Xi++r42NaMdRWyvykY9ouLa7Wz937JhmhlGzRM3MiRMgeKzWy5L7Iqr5oMeClY+zEQOfT0mNCMiB1TuSDdkMB8WyJHnWjCZ6Yviay4V5ffAA88aCdj6f9j2y6nXy8QRtxyAVy3jvRTp4uWG3CMFOj8P7lDrO/YCKIi7Dw9ofiPHi4WFcWApwQyFtfmhNaayqUhe9iD7N2ovCGWSGNZRGNDYqERTRnjoEe8Swyd3hwzD41kwbfplIGFjdtb1dM2Hc7vTqsvRuWLO+PvgAho3ald5efHZ2FttXV8MTw4aUzMZpaMD/DGOxzP7MDIwr65ewrksqpSEBek4YCqI3iRlgJMesm8JwEEvcu1xKPjo71RsTDuOYTPdta1MNUGMjxLpDQ/g/ENACecmkpv5XVWEOmUrNXkBer3YDv39fywT4/SAedXU4v40NGNlAQNsZjIzg/54e/N/crD2m+vowftZmuX8fc3fuHObR69UaLR4PjjM7q7VnHnsM80HxMzOq2tsxtqUl/G3Vs9Dos3Ag69ZYjbM9XdouXrV6R0SyE4ShIeyfvZR8PiVOvP+t+yfhtXo62MjTCr5v3da+L5HMhn2nBn8n5GO30sHLOcV4twjXTo9jv0/3AyqKuLA/y/g4FtO2NsTRNzawULLqKpvmMTTBC2ZnnHy632kF24OATOnWJBDM+LHPI8kI5318HISB4QoWTdvYwHVwOPAZ6mMYRqIHJJXCl7e2Vr0nDQ3Yz/37OL7fD4NKg0aBdSwGQ8qQEKsm19fDIC0t4Yep0AzP0JNh9RbRm8GnatYKqq4GOaPXKZHQ4nBOpzZ3bG/Hk38ohLAQq+uGwyrera7W/kmcx85Ona/1dcyNNfRAAkMtzvw8vjMsuMiMJjb4nJ/Xwovs/xOPqyiUYSe3G3PU2Ijjsv3CgwdKBq9dA0FhDyYW6wuHIZq3aj7icWhZ2tvhIf3BD7DfT3wC88meUhRPT03hOF1dj2pESApIKuyejmzIllqczfvBTti872lI8g0tcVxWj1G2be3IZti38p5sZfTzJR+Z9rNbT/HlHObI13u1U/K1Uy9ZpXq0cqGiiEt3N36Pjeki4vdjYfvgAxgWPrVm0qawFL31PUNatg/r3GWqCjw/r16Smho8bTOERH1KLKZhFF4XFmWjMWYhMhahY3dmajyszR/Z06apCU/ndXW4X2hMWUOFafLMdLE2U6ytxbasDWTt5Fxdrdocdmbm/tjckoawthZjq61V7xQXsfv3NZVfBISHxsDlggFdWdF05o0NbUw5NYWxulzaaJElAeitise12SOFvvQceb2adtzcjONyHEypnprCdgy1soAfs5xu3MA1YniNBe56e/HZQ4fUc7Wygs8++STm57XXMGdXr+p1f+891Rf5fLiGnZ0gWvYOz1ZDQMMZDquo2FquP5vhs6YWMxzDhf3BA/y29idiijo9LXYPjh2ZxLFW7U2ubYuFrYx+vgYt03526ym+HIxupWtMdkswu5vYFnH52te+Jr/zO78js7OzcvHiRfmP//E/ypUrVzJu+/u///vy3/7bf5Nbt26JiMjly5fly1/+ctbtc+FHfxQL9q1byEIYHQWZef99zVbgE3A2GLHt3qChQcMgIlo7h6LXxUUQCb8fBoxGm4LRSCS9YzMLsi0uatE5nw/7YA8e1oppbk5vaVBTo4aIrQWsGheW0RfB56m/IcmyZp8xQ6emRkkT031FYPRJDNraMA+jozoPVVXaj4kiYmo1olHt0l1XBxIQCOA1K+GIx1VszIJ8ra34PxbTOXY6NZRKIsD2ANa07Xgc8+r1am+n6WklaTxvFuej+Hd0FFl90SjmgdeEGp3JSZCXWEzDuu3tOM7MDPbR1YWickeP6vFFNERDI0JR7MoKQlgktyyCSEOXzfBl05CIPFrsMRDQZpDb0cLkW3wu3/3li+16cuzI5F0pBaHIdL7lYHR3SjxKRb7KOYxWahRMXL7+9a/LCy+8IC+//LJcvXpVvvrVr8rzzz8v9+/fl/b29ke2f+211+THf/zH5emnnxaXyyW//du/LZ/61Kfk9u3b0sN633mCdShYxXV8XLvpshdNsfsBGRQHfr/2zSEYkiGYxcX6HdXVWl+H+hI2b9zcVANLIbXbrT1pRkdhGNva1GOyugqCwCJ4FNZSYEnPDYXDLOFPMbDIoyEzaz8qFrITwXEY3uJ5RSKaNkoCTZ0PCRibTfKzDH9aS/eT9FVX49w5R+ymHYtpW4zRUc24o1C6thbE5dAhkXff1dCRy4X547lUV+N3QwP2HQ5jjujt8Xg0tOXzgezdvw9y0tSkRNPnQ7mCqSncBxsbWhX5yhVsTw1IVRWICAkQyQpDQqyczd+hkOpe/H4lP1bDJ4Jxi+j8Z9OQWOubWLG+DnLldOo4uF0mIfBWItp8jGEggJT1Eyce7U6dDwox+rmMYCbvyk4IRamL4W0XpSqJX6qQ0l7P116iutAPfOUrX5Gf+Zmfkc9//vNy5swZefnll6W+vl7+6I/+KOP2/+N//A/5p//0n8qlS5fk1KlT8gd/8AeysbEhr776atZjxGIxCYfDaT8i8LL8xV+IfOtb2niOi+Xt2/rUalB+YB8pK1IpDQeJaEjC5wP5cLthxKNRNfxsnMnmiuyATSHu6KjWGXE4YKja2nTRZYiIv71eGAbWelldTQ9fUZSbDRy7CMZiFXrzXqTeZXVVNSksqkcx7/p6+v+NjSr6peeEheg8Hk3lrq/H/pjdVV2NOWP2EjtWb27iM/QcLS/DELPpZGMj5qm3F2OhxoahlOZmPUZjI+q5nD6tJI9dnONxkI7OTlyPO3fwuU99SuS557S55sqK1sY5dkwbHrpcOM+7d3G9m5qwMHd1qUeEAty1NWy3sQHtyPo6rv3MTHpWYCCAyr23bj16D4pgX7nqkLS1gVydO5c+jslJ3V+2InOZqvhGo/kbw90qgEkjaD2fQse63WMRex0WCgRQcoMkl9jq/igWss2L9VpYsdfztZcoyOMSj8fl3XfflRdffPHD16qrq+W5556TN998M699rK2tSSKRkGZrtzUbXnrpJfnSl770yOt061PfwAX3wQMsZswcMig/ZCOUVqPHdPVIRA0q65iwrgm/1PX1uAdcLiUWsRi2W11VkuN06tMxRcAMrdDrMTOTXkyOnbPr61WcSg8MPTVbnZcd9BiwEF5Li1ZxZk0YCmjZAsHpxBjYX2h9XcW6LG7H9ggU07a1wZhze9Y+WV1NJ0MkhNSijIyAzASDSvwuXNA6N7dv49jHjuG6XLqEsbE2SiIBo97ZqXO7sIBrsrAAklNXJ/L229g/Q2sjI/D6+HyYE5LK1VV8r+NxCPDb2h4lB2+9JfK976m+hWLjYFC7vHNRd7tBvrYS7lqfYqNR3BtNTY96V7jOcH8sMtfaml5Qzlp8LhLRkNOpUxqmsh7begway2yGqZQpyaUsLpfN4JZDWGgvK6Vnm5dsnpVymK+9QkHEZWFhQVKplHR0dKS93tHRIffu3ctrH7/8y78s3d3d8txzz2Xd5sUXX5QXXnjhw//D4bD09vZKXx8WsePH8bTGRovMBNlP6V4HBfRQ1NWpS5rgEz69BQzFsPYLU+OtPZBoTNn3h5lA1J2QCLE2DD021EZQK0GdjbXKL8NV9IowXJNL4M1tWEuIlWRZCZbkglqY9fX0vkPUFpAghcPaQ6i1VbsnszKtzwd9SDAIo0sNTDQKb0pfH46xuChy7x4WQ6aR08NUXa3tGKqqQIQ2N7Xb9dgYiFVDA4jT+rpmUjmd8K7duoW57enRtPZay2rDcNXMDEhRKgWPBs97dFRTtuvrUedlagrXc2AAC3l1tcjHP473KNylAJzXj4agv1/bPmRb8O3EaGQEWU99fRhDpmJwTGOm0bFXprUao2hUQ06MkudqELiVYSplSnKxnuYzjbEYBrcU+o6tiGKpkW1eDrJnJRt2Navot37rt+RP//RP5bXXXhNXjrvN6XSKk1bJgmvX8BRWU6Nt7pNJzQ4w3pbKBAu30XPCcAi7KZO0iKiHprpajTbTWq26ERYkbGxUI+Z2q65FJL2CsrWuj0g6Cc7mVXE6VXNjhbWWSyqlwmR6aqJREG9W3mVoiASD++b5sON2IKAdzhnScjjUCzQ2pjVSlpZU0GztNs39z8/j9bk5rVzc0oLFsb0dn3/zTS3lz1R1tmFYXQXxEEGNk9lZvNfRAV3G4KB6UJxOEAvWVVpb09Tq+Xmc58gI9tXXp8LiZFKJ3/vvgwwx3MKHlitXVIzd1ASPz8oKCBvFtPQKMTzocKS73xkKsJfmJxmypkzbC9pZK+KKZNfIiGjIiduJpJOafNOLabTtjSGLiWI9zW/H6OZDSgohbfmSnHL1YJTruPYSBRGX1tZWqampkbm5ubTX5+bmpLOzM+dn//2///fyW7/1W/Kd73xHLly4UPhIBfoWdsYNBPAEduEC3K43b6rr3aDyYL1u1FuIaPoyOwNbK+7SiLPeCSvgkhAwA4liVhY3y3Z8a/G8fLCysvW5sDeSnVRbRb7V1VrThjVumN3ErB96pig0DoXwd2srvCMM8zx4AONszTDifAUC+GFvIupWUimQlY4OfIdmZ1VvUl+vWUCplApFSQTpjWK2VSQC8vHxj2vl32gUxKOmBuP0+3F9+RDS1YX9dXVpP7GTJzEOEj/WrqGGxdq+IRjEnLEVwYMHmJ/HHtP0ZZcLn6urg7cjEBD5/vcx7mzekUQiveBdMIg1h8TH58N5UERbVQVvUDbBKfVW1lCSVaxrFcDmMrb2fZYzMp3fVgTCmjVmD9GJZNcTbbW/3RKxWq8dj1/KzJ+DmF1UEHGpq6uTy5cvy6uvviqf+cxnREQ+FNp+4QtfyPq5f/fv/p385m/+pnzrW9+SJ554YtuDZdYBM4vY6M3p1PRXg8oH09qZesu05vp67ThtLUJHo02DzBAT90GPCb0pu42tPIHsuszzoqA22+fpGWIPpUhEidzMjGbH0CNEgkdyxiJ/Xq+W1ne78ZmxMRXNut14KBgawuvr6zgW9SrT0yoQ9vu18eTICMhBPA6S43KhzhLTuU+exHGDQRiT6WkQhMcfx1y8845mdJ05g3Pu7UVI6N49vHf5Mjw6tbUgL+yL5PNhLCsrWBs6OlRA3dysaeRDQzBmFy+CbHDRj0YxftamaWxU8jIzg7AZG36SePh8IHREtlCRSHYjat/OmoJ96lT2bYtptEplAHnOTPu3tjzIBOq1mDHIhpjW/WVqWplrf7sZarGn15eaNB3E7KKCQ0UvvPCC/NRP/ZQ88cQTcuXKFfnqV78qq6ur8vnPf15ERD73uc9JT0+PvPTSSyIi8tu//dvyxS9+Uf7kT/5E+vv7ZfZvu8R5vV7xsmBFngiHsZB4PNoVllV0TZho/4BPVFawuBrDMvYMHisoDrW/X673CEMo1jBWNtDzQIIWDOJ1hseYmbW5iTljuIy1VRiucrs1nLSxgYWP1YRZGC8YhPGnRyMYhGeBxfA2N7Gf1lZ8JylyfvgQ23k8MPItLfCezM3B4M/OgqzU18MwLyxgfPfvg6gsLcFw9/bi/WPHtDpud7cSBhLb8XFswzDRRz6Cc2SX92RSvS3d3fg7EsH+z5xRPUtXF873hz+E+Njlwv9eL7ZtatJQ1saGhnVcLjXEwSDGYH0vH+1IpnCAXQ9jJRXWNG+rkbSnfRN2UpKJpJTKALIOzFYZegTPj9c8Vw2efMjWTkMthRI6+zUuNWk6iBqYgonLZz/7WQkEAvLFL35RZmdn5dKlS/LKK698KNgdHx+Xasuj7X/+z/9Z4vG4/P2///fT9vMbv/Eb8q/+1b8q6NhTU1jUjh3Db8b5GU4w2L9IpdIzMHJd70y6k3KGPeSUq38Wq+iKpGtvPB7VSLA4XCyGbdnDJxzWkBTbGUSj6RlaDQ0aTqKeJRjEd41p28vL+GE7hb4+9WyxW7XHAwI0MqJ9pNiiYXFRa9OwVP/wsDZ3/OQntdt0KIQF2eHAdr292i18bg4h4uFhNXA3boB0dHdju5UVGH56ZvjT14dtfD6Rv/kbZDt96lN4rb0dZItelsVFrQfEuVpaAqFxudLJQraKslbjx5pBIhrKylQ75OhRLeKXj6eGYTLWJspVIyXT/uyanWKFOjgn7D2VqUs2xeRdXZoNlk+lYStxKxePhn3uS+0FyYeYbcebViwPXCkeGLclzv3CF76QNTT02muvpf0/Ojq6nUNkRCyGBTQU0mwQEUNaDNJhTVeuROQb8rTe91VV2lCRhIadslnplplNDocSDf6OxfBDzQj7HTU2avNLFrFjvyRK3dgDqqEBv+NxEACGgahNouiajS1nZ0E6+vvhzeD3+/hxhEf+5m/gvTl0SMX3NGZOJ1Khx8e1jo0IyEM8jv5H8Tg0cG1tIDATE1olmXMXiSBsNDKCY3V3i5w/j/MIhbTaMIkGexnNzODcFhe1MB2Jo8uFOZ2Y0DHZwwe3buE+PXoUY8nUkmBzE9ePr+fjqRkYwO9cXopM/1v3ZSUD0ejOiuDZj2XfPz0rt29j/q9c0XPerTDQVgZ6NzwapdapbMebViwPXDYt4E6wq1lFOwXreGRq+GdgsFPQU1GJYK8iO9bXoevwenFuzDRidd61NRj4+nptB0CsrWmTyGRSm5ZaQ0k1Nep5YTq204n3338fRqi/H59nZd/FRdXFPHwIAnPlimpJvvUtNRRDQyJ/+ZcgUGfPqij2yBGcG8OCTU3QszCD69YtEKvjx3HObjfGNTcHcjI6qt2rn3hCwxjj45ir69dx/i0tID8iWqeFGUdjY9jm6FH13lCEurwMYrOygs8cO5Zu/JqboddZXMQxrNlE0ahmQdmzjHIZOGvIyo5MXoBsxsha4p+kzevdfj2XrcJlgQDmyufDdbJ7Y7KhWMZ+KwO9G1k9OyEJ+cxDJm9arlCi9TM7JWwFKkLyQkURF48HX3QDg1KgUklLLqytadNAekxIWPgAYC3vb0VtLTwg9OAwBMReTtawFfUmTqeKpBcWYMDDYSyG7e2amt7YCEITiYAMNTXBMI6NgczU1Ig88wx+f/vbOG51NchSZ6cShdVVhIsSCRCEzU0N4SwvQzeTSIDkjIxo4UoRPWZbG4hQKIQ5WViAt6SuDgSFCy/bDJDAiIB0sSt2NIrxVVVh314v5v7hQxCV06d1bru7EfqmJ4c6FoqDR0c1A0pEDRs9FMUMjdiNljXc5XRiTkdG9DytnyHZz2U07fvPRATYHiIYxHWzn99ONDlb9YoqxEDbQ1rZ9l8ICs2SsqMQ0pNN2FyqejvcT7FRUcSlFC4nA4ODAhqHaPTR2jSZwq2ZPJuJBIwqSY69Zs3EBAhGU5OSoZkZGLjZWSxiJBizsyBHLhcWUxaxo36tpQU/FOLfuIHt3nkHZINhMIq2IxGQmtVVkCTWeFlfh/dncRHaFnpX2A+JhkgEXaqDQZCqEydAaEQQ0qqtBZFgtlBbG/63akEmJrDvnh6MxefDvpua0nUj0Si2YfVvCk3v3YPXp709fd8+H4jQ0pLW27FjuwaU4TJmUFkNuc8HwjUz8+hn8s0U2sqwtrUhNDgzg3PMJMjNpcnZythHImg9UVsLr53fX3hlYM7t1BQyy0SUuOw0pBIIgODaU+nzRT7zwGP09W3ddLQSUFHEZWlpr0dgYFDZyCZazlfMzBYCIo+WR6cIj54Yq1YnkdAUYhEYSjZrbG6GUamvh2FgyvbyMkI7DD/NzKhnZ2ZGCdKJEyAAJDyTkzD8p07BYxMKYdveXoRskklN+Z6ZQViI5z87C2/U6dMIO9GjsL6OhZ+hspkZNQJWQ2rXmPj9+LFn/5DgHD2qtVgCAew3kQBpsRIBlwvjHh7GuKyeA2tvHfvT9FZkxtoCgQTRrns5dSqdRPH8Dh0CydvKC76VUbQfg+OcncV9wl5W2TQ5W8HnwzWj58vvz9zxOhdITrxeiL9JdPM5v3ywE51mvvOwuYnvkbX2j/X+KPeaQFZUFHExMDAoH+RabNlqgYX/NjY0KycUgveU7Reqq2Fwz5zRtHd6KSIRLKizs9gn681sboLkLC7CmBw6hM9SM3PyJAx9YyM6yD/7rGpySHCSSSUSbAdw8SKMQCyGJ2sWNWRbBLcbxxwcRLiMPZoSCTWG1pRjVuetqsI4qdEhwbFqDnw+aG5EMhsRGkur0WQDSbcbn21txXlGo4+KgjOFXqJRzKPLpcQhUwE4+3isxKivT//OFt7JZhStxMvu+RgagkBbBGHDQsNB1tePHQNpoeeLhC1TeHgrvUeuLKftwOfT0GexYT2XCxfy82RVAgxxMTAwKBn8fpCW5WXt5h0MprcQ2NyEpyEe1yaSbClw+TIM2Pw8vCAeDwxtdzcIxYMHujgzO4p1V1pb8f/oqGZUzc+DoPT34ziBgGZZtbbiidTnwzZOJ8I99Pw0NODzU1PYtrtbqy3TaFv1J0xPXl6GwWTNGhF92h8dBdE6exZjtmpI7CJKem9EVGvBytFdXUpUrCnR2bwBVnLS2KitM3gO/G314NgNOvUSDPXZDbg1BGI/LxEd7+3bmNdDh1CEkOd47Fj671zIZoCtr58+rZ6v1tZH58VK5uyeq1KlHItkT6HPB1sdc6sqy5UWIiIMcTEwMCgZQiEY0Y2NdI0a68nU1WlFZGYHMTTDysBMY6buZW0NGUTd3ZqKPTwMY3TyJF73+0EKRkfVo9DSgtcTCWheJiexmDud2g/q9m14fmjYqKXxeqHB+c53oEN55hkcJ5HQXkYsJMineXpW6HGhcJgVYRsbQT7YgVtEi/4x7GavGkswxHX6NLKieGyHIz1clc3gWrNMRDAuq1bHGgqzvm71xKRS+G3t5WSH3SsXicBbFY+DPLKj+N27WrTw6lVs29mJHyuyGepsBnirNHBr+wXr+eXKwMmG7XovdkIetjpmIfsuhsg4U6uDUsAQFwMDg5LBnqlEsC/T6qqGh9gFu6UFRi0aRaigthYEYmpKvQwLC9g3y/2LwIB3d8MDsbAA8sNu4i0tONbcHDKNpqbwdH/6NLwyPT0Yzw9/qKm/9AwlEvq0ys7kfr+2Gqmp0fcTCRgSK3p7H80KYuE9Ziz5fNp/7fXXcdyrV9V4kpiI4FjWsJHLhayfQEDfy/b0bg/fsGGl3fBl0kPQCEaj6cJcr1cFryK6H4Z+7OGwEydA3kIhkIRTp7TVxOzsoyEnK9gXyl5XJhtBy5UGHghkFyW7XI++v5Ux3w4BsXqgtmPkMx0zUxZXNuTbnqDQxpfRqLas6O4u/Ly2giEuBgYGuw5rx2+6ypmKm0hoa4OlJRgOrxcLYzgMYnLvHt6bmlLhJovaXb6M/wMBvDc8DBFsTQ0ydphuLYIsotFREJeBASy0GxsoYOd04nP19fB8tLWJfPrTmpli7c5sDVeRnFCAaw3ZOBxKVlwuDYvQSMbj2oOppUWJEL1K1LK4XGpMJyZg+ClcZhfwTAbX/oSeSaRKwmE3pFZdi88H8kFRczZCwfcmJjRkRDJk9UxxPEwRZxjJnm4di+F9j2f7dWUIn0/DZNRS2b04Lld624digx6oqqrCtTLZyEQhnh878clGvPLZp3Vf0ag2bG1oyP+c8oUhLgYGBrsCtgFgvRe7N6a6WrOJ5uehcfH58P/CAt7nPsJhzVKi0WVGkceDz8zOwlhSR8Eu0y0tMBSHDmmV5fZ2LLYdHfDqzM+DzNCDQY/H8eM4zl/9FfQbJ06A2LDJI0lHQwP2ZRXtsteT243xRaNKgIJBLPSRCEIvDJGQHFFYzL5sU1PqtVlcBGlpbtYqxakUzoFdu62l9Fn9lzoZej4Iajw4biusupbNTew3FsMY4nElbMTCQnrKvAiu0c2beBJ3OvHayAg+53brcTLVrYlG4ZmpqckeRssXJH8kSPawEMOL1rYP+Xov8h2Xz4eQHKtbF4JMGiLu03qNc9XZyeSRyjbOTKQmWz2ftjaUIxDRa1xMGOJiYGCwK0gm1SNRVQUjZW3PsLamOhARLObBILaJRjVk1NICAtLZiQV7ZUWbNp45A2/J+DgIADs/BwJqaF0ubUTZ2YntnnkGx5iehrE9fhyeFadT+xutr+M1ERCn+XkYW4ZJNjZAdhobYZjZmHFmBsdklkxvr/Z88niUfCQSyIBqacExSBDa2nAO7NG0uqrpyyIYN/Ui9F6trCiRuXtXw2EOh7Yp6OrS1HOr0aR+RkQ9QoTVc0Tj+OABzr+1Fdf11i1cywsXsG0qpaJnkfTrdewYSNjt2xgjyZXLpcex6oaSSZCWTLVstsosypURlK3nUVsb5pZemVyEZCvjnu347Ga+HXFupsw+ntPkJPa73YKFuUJOdiGznWC6XEqmMlX03ikMcTEwMNgVWGvFsIu1HevrKtqNRlXYy15JFNIyxODz4X0KaCcmsJCStExPY+Hs6sLnxsZAGGhI2Y/I5YKH5sYNeF/o8bh7F0/49fUwYp2dIBef/rS+7nBg3IEAxj0yIvLWW9DQfOxjWjbf5YKeI5EQuXYN4zlzBgu814v5YQhEJD1cE41q3RtWWXU61UPhdiOkwc+zpxNFzakUml02N2MOlpbgEaqtBckguXK5NOXc7X60UmwmA0Yvy9qaEia2gBB5NGumv1/HlEzisxsbIIXUGll7NDFc5nJh/h97TDuGs6u3vahcoaGTbKTD6pXZrtC0mAJaka1TnK37tHpCrJ+3ZnZxjIWEnDIJme3HKSUMcTEwMNh1sLljJlRXK8lxubTab3W1plOLwKAODWGx9HpBPJhBdPgwFtbr12Gc/5//B56Ad97Bvmj019aQiTQxIfL974PouN3IOmppATHp79d2CaEQjOzduwiNNDeDCB05gmOOjWll4epqrY4bDGqasseD36yC29gIEsSWAyQHVkHuzAxIVW+vZg2xXYJV2DowIPLcc1qPJZHAOTBc4/FgnCLw3sRiSuDoUVhfx9/r6/h5+214oC5fzu4xYMdvVgQ+elRFvK2t6aGLhQVck44OvM7CgiK4LlNTGqZizRWWw49EcD41NZjnt96CiPnSpUc1FtlK+mfygPC3XWDMv3eSVbQVMcl17K2Ok60+DsdsT7Mm2RsbSw8F5jPuTHOaqb/bTrOT8oEhLgYGBnuCbF2wV1Zg9JNJGLTqaryeSKgOhOJdemHq60EW6KVYXVUPQDKpYls2ag0EtAP26iqIC5/0FxZABB57DE/4AwMwriQ877yDxo/UsSwva7PEhw9BEs6exZjW17GPqSl129fUaKjHmpFkzaYZGgIRoJajqQn7J7GhUQiFQIAYsmJ2DMv4u1xq9O3Vb999F/s7dgznwfeoW2EIyeeDoaupUd2P3cD19Oj4+T7/T6X0fNraQMAmJ0Gwjh+H1+nOHRCRoSGQzR/5EZAfkj02urSSGHYapxjZnjGUraR/NoKRS2CcDzIJnZne7vHk9kbY2y5wPPY5zXacfPcbieCe6exMD7fl03k8E2EaGcH+6AXdKjupWDDExcDAoKxgfYJbXdWidDU1CMVUVSkJ6OgAmUilYNydTiykMzPwkDQ0gIiMjmIhbW2FoY9EtKdQdTUydmjko1Http1MgnS8+Sber6/HotzXB89FUxPGyOaRGxsQnba1aafqQAD7am7GNuPjMLaXLsE4023f26sGf2UlXaA8MYExHz2qHoWpKczLk0/C+Le0pBsLa2E5u1YlldLWCOwNNDGB8+jvx7wwPMNqx6Ojqq+xZhjRGA4Owntl92K88QbICEvlh0I4/3AYx4zFQDpTKSWqm5taB0dEyZg1dbutDdd/fBzX/dQpPWYuL0e292IxHdt2kKmQ3MwMvEINDbiXsqVV2zOcREDa5uZwbk8+qWSqkIJ11v1aG3rayVw+BCNTDRySFuqr7ESIGphiwxAXAwODsgUL11VVYWGsqYGRC4Vg6JaXYUxF9El8agpGgg0VHQ7tBC2C1+nRoTB3ehpGIhyGt+T4cRCT1lZ90tzYgFGbm4PBF4GxrKoSefVVjGV6Wo1fezuedjs7tRv3yZPY9+wsfg8PY9+NjdrUkboKa7fgoSE83fJp/PZtDWddugQDTiLDVG/WicmUXcL6NydOYH7efRfeInqVjhxJT99ub1ctSiik4+ITdzCIc6mvx3zRmM3MgFisr4NIJhKYs8ZGEKHBQZxDQwMM6sWLWmXYKvAkrIYzkcA8r6zgONZO2qxTkwnZhKabm1qIMFvhuUxhEGtmjZ0QdXUhlBUO506rzqSlGRjQHlxWFCICtu7Xmo22nb5E9nnz+VRLlSmEKIJ75tatwo+1FQxxMTAwKGtYQ0rr6+mLJPUudXWaeTM7qxVq19fx+XAYBtbhgNFmtdr1dRhKl0s9M5EIjIvPByPrdoNELC/jZ30dRexGR7XybnU1vCGsOruxAQNBrwLFxYcPY9/V1SAKt27Bq3LoULrOhE+qJGeRiNaY+c53YKy7u2HwBwdh3EZGQIyam0HufD4ck+e4sqJhkN5eiIdPnAApundPO1qzRxQNErNeJiYwrpkZhG7YuZt1dpaXQVwYworFtCN4QwPGwRDCkSNKqmIxzKPDgd+sNhwI6PlbxcGEzwfy5/Hg+lMTZA9T5FsWv7UV5xUMIiusry89y4nb2ovS5dKc+P0glhMTuE7ZkGmMrHljFwZn09xkC4Fx+2BQO7jTE9ffr964bKnNO4W9GWsxYIiLgYFB2cJaA4R1XDY2YKisqdROJ7ajZyMeh9GursZinUhoZ+XlZWzHmjI3bmCfrH8yNaVegzt34M04fRr/BwIwatXVWOBffx37am3F0+fp0ypWpfZlZQUGoqoKn+V5LS2BJJw/DxLCxo7DwziX+/eVfHR0wKDPzkIs29UFo722hjFWVYFIuN2Yo/FxeFHa2zW92po6e/w45ozZQKdOaWG9iQns01ofpKkJY5ydxbzPzOA49Ky4XNqJ2+PBvtfW8DMwoJ4UtgagN2ViAnOyvIz3aORohNfWcC4ijxpY7md6WsN+bW2PeiMKyeohaayq0vAfdRssMMgwmwjISzbNib1KsT1LzN73aXIS/7NxZ6YsrlzIFR6LRkG0FxbwPpuEPvcciJV1nkg8MxUwtI47Wx0Z+3YsIVBMGOJiYGBQtnA6YRDYpTmZ1BoiS0tYIFMpGNPpaRXy8umdGpPqaiUzHg8MElsMvPmmGgtmw2xu4rWHDxGWWV9HSwG3G4u02w2jywwYrxfelaUl7KOzUwlFe7sW19vYgPGn9uDoUZzL+DiO9/rrOPbHPoZtZmfhQTl8GK/39sLQUJg8N6cVgtmLyenE03V1NTwwDQ3Yf0tLeqE1piL39mIs9+/jWCJKcmiAEgkQl6NHMX8iOFeW/BcB8WppUe9VTQ32296e3mTRmj0Ti2kV5cFBkBsa30OHNAzoduu4rSJaO7Kla1vDbpk+I5LeUoFEhAUErSLUmhrNauK5z8xo6wPC7omxC13v3ME90dOD6+Xz4b601t0pxOuRieRY663MzOCa9/aql4rjF0nPFBLJXLvG3iIgW4d463bW4obFgiEuBgYGZYvNTW3IyPCB16tp0vSoeL36lO92Y3t2mG5oUI3M4qK+fvSoejaYvtzdrXVkqMvY3NQeR6z2Ggjg9zPPaHfpmRkYnlAIRGN5GZ6SkyfxdJtK4fM+n7YuqKlRIW40qnVsgkFsw+q6bjeMZ309DPb8PEIZ9G7U1oK4zcyAKLANwqlTmMepKQ3dLC5iH11dqG5aWwvvzM2b8Ax9/ONaH8QaRqGGxOfDcWZnNaWd6drHj2tF26YmLXpH0mEPtbAf0uAgPEl1dZjTtjbVZCSTWrCPBrOqSqsnnzuXXbdhF/QS9lom2UgG04etfaBaW3GN6QnifWrHVgLh2lqE6EZHcY5XroDwsoruVpk5+fYPYnbZ8eMqau7tVaE3YSU+9ALZx249Jx430/mlUvguZit5sFMY4mJgYFC2iMVgpKiHEAHJYBZKbS2MnccDMhIKaVpzTQ08Jh4Psm5WV0E+EgmQmb4+7HNxEYbi9GkYRwpGvV4YqUQCxmV9XQ3q/fv4fF+fFqJbXVWPSGurkpDubhiBa9dAOJ5+WjNX2IOIbQ1iMa3rEo+rIHhhAZ6feBxiT1YEZqpwOAwiEQzCUCWT8NrQmD/5JPYzMoKxOxwwlKdP69P4yAjIm1WTYDVUNO5WctbSovqUlhacx9AQ5r61Fe9NTCCk0Nenxf6s/YFEMCYW/uMT/8wMrt/x4yAM9Bz4fAivTU3BO3HpUvb05WzkgW0gVlcxf9a0cft2oRDGaQ2b0GNGXc2JE48Sp1xhHpdLQyjLyyB5TU0aMmtoyE4KrGPLRW6CQcxRIoH9njuX7vnKhWxjt7+e7fyWl0Hsmpvx3Sg2DHExMDAoa9TWwpg6HKpfsb7ncOjTXU8PiEhVFQwLOzzX1Wn8nq7+sTEs6tTO+P1Y0BsaYIT7+jSUQWLEzsY+HxbnH/wABufwYRhdvx/bvPUWPAhtbfgcq8SOj4MQTU9jrKkUQgY08l6vNqVjO4NUCu8/+6wWmotEQAKooTl2DAZ8aAgkhwSBRKO/H/+zaB/nsKEBY15bw/HPnwcZunYN42ZqNw2UvVGktdBdayv2s7CA+bAa3VgM515fj/O21qIR0cJyyST+9vvVI2StjGuts+Jw4DzZKTsTrIXYrJlCvCdisXQti90QZ8uc4X6t3bVFsmcjZRtbezvurc5O7dHV2KjHzrVPn0/T9zN11J6ZAbFrasJ1oSDXSkJLVWvF2r28FDDExcDAoKyxsqLF4lh1lsXpYjElM8w4YhbQwAAIitcLgzA7C0Pn8WChHx/X/kjMOPJ68WRNsSzDE34/DMrQkMj3vgcyQQ9Pa6uGoHp6MJ6bN6H/oCajvx9PvKyqS1FsVxeevFMpFcyOjWnhuuVleB1Yjba5WeSv/xpF8JqaYMDn5jBPn/gEQlObm9rE8eZNDWsdOYKwFXvH3L2L3z09WiStuxuvra1pEbcrV7TGjJVo3L6tIZKBARh4enxElCzEYjjPcFhDOnZjaRW4Whs1WvsviaR7g+glycfw2g01Kwp3dT1ag8SKrcSx1nEXSgYiEdU2ra7ivmlvBxkfHNTeTKFQ5oaSHNvQEL4jdiEtSQOrTQ8PY14ZMsql+7EjVxp4JlLl96vex/QqMjAwOJCgSLKmBgvi5qZmdmxuwjAnkyAQ9fVajC4aVQIxMKDp0DU1CMMkkzAUFIieOoUncWvY5tAhbOt2w5Ny6xaMQne3amWCQSziySTG5XZryIhobITXZGMD23d04Fz6+jBGeje8XpCV2VmtmDs3h22OH4eBmptDmOfJJ6GTmJqCF4fakbNnYexWVvDDzJ+LF3EcpiGvrmI8/397Vxob11W239nHM54Z70scL7HjbE1SN0mTpoUv0K+oUqGA9ElUgEpBrGpBqJGAQgtBFNqqbBVtoSr7j0KgCBCCqFAKFWpLqWgSEprEqRMnjhOP97HHY89+vh+P3pwz1/fO4i22cx5pZM9dzj33Xvu+z32X52UBPzZkTU2SEFmBhfc4z0ZtBsmCdWfOYD33IbLyHGzejPtQV4d59fTA4HZ04P6quSeqAJqaKJov38MYMlI9Kfz3NReoYnD5clrMwOG1RELq/qxbB7LHVU3xuBQINAOHrIaG8F0lL0weLlzAveCKr3weJhUqMVFznVSwLoyVsN5iQRMXDQ2NFYFMRlYXud0wdD6fTL7lqp10GgZhbEz20OnogLeBewJ1dIBcHDuG75WV0miePo0HciAgxd1GR/F27HKBqLDabiYDkhMKyRYBR45gbLsdBmJkBETF4SDatw8Go6lJdscuK8Nx+ZhcFSQEcnOIEJKqrYXXJhjEeVdU4Hy4r9D581jOYZtCxikUwufNN3HN0mlpwFnnht/KjW/XtbXIDRkbA3lTG0Oy8b10CfeE37ytBN1Y98blgqconQbRYj0eK8Ntln9jdb5mISOes1Vn6GJgLKUuZX8mPV5vbkjOWNXE119tKKmCG3RadbBW71V1tczbKkSw1GvK5xmP5+YGqWq/mrhoaGhoEEgD9ycikt6RVAqGPRgEieFET5tN9u+JRqXUusuFB77Nhrf5bBYPYqcTIZPWVoRz+vtBBmZmZOJpMIg32p4eeAYaG/G9rEzmrLS0gBilUrIayOuVQnPZLMbirsyNjXgL5s7L/f2SAJWXyw7NnNwaDstO1NXVIE+ZDMJWExMYk9V8//UvoldfRS7ITTfJyiImE729srnihg14C3c6MS4nv3Z2gqxx+4TycsyPQzOBgBSmMwrDsQFPJLB9dTX2NTPsnPw6OgoC1dUF8heN4icfz6j8ym/46nicf5Mvz8SM4BTKFSkE3s8sBJYPXI4/OSnzfojMr1NvL9omEM0uuTbeFyO8XnmvQqHZxEc9D5WcmpGyeBz3hbuJmwnkLQU0cdHQ0FhW4CoE1kBJJmFsuMrG6cQD1OmUybaJBB6mNTXYjzVM4nE88FlUrKpKCq9VVID0cDiovV12h66sBGHhap1EAseamYE3hCX6q6rgFamrA2lpaEDVz0svoVKGy7Q5pyCRgJenuhqG+tIl7LtxIwhEJiMJBVdIbdmCc5uYkJ2oKyqkxonTiX0SCZxPV5cUsTt/HscvL4cnifVIWltxnuk0DBpr3ESj8EaxaitvzxVWo6OyAzSReZ4EG/JgUF539iAYwWW1PT04FovsDQxg3tXV8tybmqzf8NVk2UJic2YkhUvSzXJF8oEThvkcrXRUzIgUt7DgflT59lMbX6rzNpILKxQTxjKSOrPz8XpBhNWw31J6WhiauGhoaCwr+P14eHK4JByG18VmkyJ0LC1fXw8DzN1pJyZALrjyx+9HXkhFBQzTyIiU0mcvgMcDY8bem6YmeSyvF8bz2mvhXWEPg9+PeQkBT83atTLPoKWFaOdOzIeNEnsKvF4pWsequJzLMDVFdPw4zq+tLZcU7N6N7ThXhd9+XS5ZisskY8cOfOJx7DMxIT0qY2Mw7nV18B6xB4e9K1VVWKYmx/I82OsRCskqoc7O3BAMg70ARJLs8HejUY5EMHfWamEvFCv+svBbbW3uG74ZKShkoM0SWtnr43SWHvYIBHC/WXvFCKsQFhMns4aHZvtVVMjGl+r8iiUO6t/Mm2/KZpqq96XUHB0jitGVWSho4qKhobFsYLfDwG3dCo/F+Lgsec5kQCwqKuAR4STXbBYGKJ2Gd2VkBJ6SP/8ZD+fGRhipS5dgkIeGsIyrdhob4fEIh0EqHA4YzW3b8LOhAT/r62HYbDY8/LmUOhxGjkIoBKNLJJNzuUM0kw5Wu3U4sL61FQb/X//CuRHBS8JvtEwWpqZkbgK/cavdjDm3RHXb8+/hMM59ehrn4HDInAoiaWQ4NKZ6EbZty9Un4YTWCxdw7bnaJxrFNRECRErNPTEmmBpF6JqacC0GBnDft26VxpzPVTWGvJyJmlpxU4wh57+loSFcU5cLc1FbEhhhZZTVMIxZgq+Vh0cN8ahKwup+RhJRiFgYRfWsQmXHjsmSeZW4FEuCrMjYYpdYq9DERUND44qAQzc2Gx788ThIyMAAyn0nJ6U8+cAADC+r205OwhjbbCAW3BV5ZkbqvszMSAE7Ioxz/fUy32VmBh6ItjZ4cOx2uMHZIAaDOL7DgQfy2Bi8FPyA3rRJJuk6nagYqq4G+RkclH2RYjEY9EgE5ISJEZcYZzKyCaPPB8OUych5NDXJxEi1imZqSir7cl4Hl1+zlyMUwu/Dwzg2h4A4t4dFz1gZVhWTKy/HeJEIrj8bdvbklJVhHsPDMmzV0IB92IizgirnnnDlkRrycTjgtVi3TqrHMqyMaTQK4sGkthSkUrKajBNgJyawzipMlM8o5yMUPH/WEDJ6htR7ahb6MhvLCsPD0A7y++HxswqVbd8uifRcYHW+VssLid3NBZq4aGhoXBEIAaPqdOLtjxGJgHD4/VKKn70jrBvCUuKcADs5KT0jqRSMbFubVGJtbQXhYQ2XqSkY8muvhTE9fhykqaoKHg+bDQ/2bduw/8CAJCNslL1eHMPtlkaAvRM8V58PHzb2iQTIE3taeJyNG0EUYjEcKxLBd+5SrXbrVT0ZVVXwfgwMgFQRwfORSEhvEycPsyEbGQEJ6+vDchbkYyLB94aF0A4fhkjeli2yk3Y8LkXtuBni4KDURGFjzErEHg/Omc+X58WeiHRaNsNU/w44bGTWwbiuTuYBGWG2LyMQyN2XBQwHB+U1N6IYcmIUucu3r7qPmlRr5dkpNgzj80nyaAavF+G9+cCKQFktn5qa3/HMoImLhobGkoK9C5mMLF/mnBKbDW/yVVWyUsJuh5HMZKChwh2giUAUGhpgqH0+PJR37Mg1ijYbHuRcbRQIYPzyciTkHj4M49/QAHLDngYmPdz/p7kZJKu9XSbTejwyUXVkRJ5jVRVCNOw94ATjl1+GFH86je3LyxFa2bULc/3vf6V36frrsT4aNdfL6OjA8lOnkMfDxooNE4cLVMPNhpIF9LgkWw2T8DYsqhaN4ly5combXPLx1PGYwPH+jY1EN9yA9eytUXsHsTZIezs8V5OT0vgPDMCDsH699CCoHYn5WOxxUY37wIB5FQ7PTQ2rRaP4+8nXV6eYMIqVV0YND6nf1XGZ9BivT6GxVdTW4u9oKXJMSoHayHGhoImLhobGkiKblbod2SyWsahcOo2HbkMDDBZ3aq6sBPGIRGBgvF4pj79pE96Wp6dlR+LmZhiCkyfx1j8+DkKTyeANsK4ORpv1Wfr7MZfWVhhoDiewAdy8meiWWzDXTAaEgUhqlXACLnuRWByP83LicXgeIhHMKRgE8ejszM3n2LoVJOHiRRABtdSVuxGrHoGGBil7z8aqthbnzqEZqxBEQwO2CYfxnUnR8DC8Tuy12bFDjmv1ps3jEUkDnEphn64uWe3DRIpJD3siOGTCFU5r1+Kc1q+XbQD4OOx1U8XfiHKNe2UlvEmVleZ/g0YisnWrPMe5Ip9XphDxUAXeSgnDqFjKCp98Hq2lgCYuGhoaVwTsNfH7YWDYYGcyMhzgdst+MDYbHuzcYJErgRIJGE3uAD0+DoObzSL0cukSyMi+fTjG+fOyYsntBoEIheCxSSaxjcuFn2rPFa8X8zp+HDopN9wA0sA6LT09yHPJZOA94OaK3F06EoF3Zd06zKejA0RLhdeLHIR162T3YzZWY2M41+FhkLieHpz3pk2z3845UbaQMTPmmxCBeHGoq6nJuoGhFVQZfPU4VmW70agkNo2Nudvt3JmbcGxUzzWq4apJwT7f7OtrBq+39HO0GsfqWhciHsWWNS8HsAhdTw9ykgoRFx0q0tDQWJaw2eSbcLHg7ZNJaTT5we5wwIPS2QkjfvEiyMENN8DA9fTgAe90Yl17O7YdG0PFyokT2I69NaxUyx4anw/eC+7tw4Y7k4HR5v5I/FAeGMCxWMRr+3aMabdjHza6zc3SNd7SAm/OG29IQsKS+5yzo1bFGCXsT52STQkDAYwfj4N4qfkwqngZh8c48bdQhQzR7H478Tg8TNXVufsb8yys8i6MnhCi/Em2/f24Tr29CMGx18NsfOM4+RJarRJFF7Jkt9jxChFI43rjuEtZsVMI3NqCu3YXgg4VaWhoLCvY7SAUZqQlFMI6JiVEUhvF5YIHgkh6JEZGYISrqkAS3nwT2+zeDWLk88nqnGQShjEYRKgjFsNDvb4eD/vubhw/GITnZMcOEITTp2Hsg0Gsr65Gfkssht/7++Fx4FwLIplr0dws80fsduSGDAxIUTrWc2HJfZcLOQes6JpKYa6joxiDc2DMPAbxuOwarCbj2mz4VFfLhoiqcTYqqZrBSJD6+qR3hUmM3z87NGQsY1bzTVSPRbF6IEyyamrwdzIzI+dEZD1+MShElOZKABaSUBgJZL5x56uxspAIBJCoXSz5WwyipYmLhobGnMBJtpynQoTQC0vsu1zwWhDhd+7f09YmVUPLy2U5r80G78jOnTCaZ87InBGHA4b1jTdAWoJB7JvNyt4+3d04fjCI/X0+GHj2ilRXS72Wvj6U0yaTGDeRkOSL++OwhL6aa8FGJB7H/IaGcJyWFsyDuyx7vbJzdFcXxonHMfboKPYbHMS+ai6KWi7b2orrwWEzJkBmzQrV5E4Weiu2fJfJGBOksTEQsnQ6NxnYLKwkxOxqGvU88nkkmGStXYsmjHy9uWHlpUvy72ehwOdeqDWAFRaSUBgJpNW4xXh18m2z0F6mpcylsYImLhoaGnMCJ9mqsNtl08DxcdkMUQgs42qiqiqs9/tlRZHHg20jEXhHbroJ3y9cwP52uzTcXq/sYdTQIEucWbeE9VtaWiQhicVAXMbHEZbgkMumTTD2w8MIObnd+HDIoqIChrW7G7krGzfCqF+4IIXqZmZQMdTfj2MykclkpAptbS3md+KELBG+dEmqmKokgcMt4+P4yd2RiaQhYrA3hvNatm/PLZ02wmh4jN4MtU+RUaWVq3FcLhyTVWNHR3OF4NS5FSJQHKIiApFhscBkEtdlPgmzVuc+18aKRqIyHyPO4nSRiMzfMhu3mLnmu87LKcy0UNDERUNDoyT4/TDcZm/DLheMOCfeZjLwgHA1kNMJb0MiIbs319fDo2G3w2CXl8tqhaEhfDjR1utFnkhjI6pzzpzBw/7660EifD4QDI9HGu/6elnZw+Ef7qPT2griw8cNBGC4EwmEi44elR4iboQYDOL4HR3SsHd3Q5F0925pzONx2ZtoZobo5ptlDozdjuOsXw9DbSQJqlE3dvJVK1BGR+EdWb9eek6YCKiEgPdT37qtckhYpM7YPE+9fly2y7kuZh2c1VCQVa4MV0CdOYOxeFvOiyi1cWGxmKunZCG9DTyWqlJsNnYxc823zXy9TMXCKvS1GNDERUNDoySwSqoZEgnpGSGSSrBcwVNTI7s689t1PA7SsXYtDPyGDWhUOD5O9J//yJ48DQ0gTW43vDo1NSAWQ0NI2o1EYNC5lLihAUm8MzPwQnBPnosXYeS3boXBP38eJGrrVtnpuLcX1UMTEyBB69bB0+LzyXLszk4YHSJZTrt1K7xHZ87I+bJCLxOvHTtAfJicGR/4RLPDLRwGUsMI8bjMsVErY9TSY/bWEM1+6zaGKpjsMFEyejrUVgCdndIYMtkwGkM1R8WYK2MMi3i9OJfqalyThSyxLSbJ90ohEMjf64iouLnm26ZYL9N8Q0pWoS9VXHKhoImLhobGvMAJukQyMbW+HkQiFgNJ2boV+RqDgyAFNhsIytmzMun29ddBCjIZvHFPTcHrsWULwkKxGCptPB4kvW7ZAoIQi8mS5DNnQE64eocIRGdiAkbR70eoaWhIistFo9iXdWNOnQKZqa1F3oXdjjl7PPgMDkpV2Q0bZG4Iq/Bysq/fDzJx880yHEQ02zCzYbFSXuXy5vFxXEP2rMTj+J1DYUZio1YJmb2RG6uJjGTHWDkUCOB8iXK1Z8yUaxlmSdtmc4nHcU8uXsz1sixEfsZyDpV4vfl7HRXTf6hYWHll+Bpbid/NdXz+PZmc+5ytoImLhobGvOBwwAPCpCMehwGanoahz2bxIBwbkzLrrMYaDIIcTE3BOAeD+P1vf4Oh5iZ8ySQequPjyEPhhoXBIBJtn38evzudMuTEXaZHR2X36BMn4KHIZDAma8GwTkw0KpVrAwGQqpERHGPzZhARtZtzTQ0Sck+dwjF27cI14f5IRDBMXJ6cD1YGlsNXapM+NbxAlNsLR3375hCX1zvbg6KWLVuFpoyVRMZ8mHykwKi5wjB6B6JR3NdsFj/VkNlCkI58YZR8lT1m2yxV2EolE8Vq8hRCoUorK/G7uY7Pv2vioqGhsazAYSGHQ6rfsiEiwrqxMYRd+K3d75chJU7KbW0FIWDl2t5ebEckewRFo9jH55PqtNyIsacHRMLvxxxSKdlk0W7H8rExhJ4mJmCEx8awTXu73DaTwXzWrJH5I9u2oTKI+/BMTck3ZQ7XsF4MlyxzyMnM8Kr9djgHhZsPmhkONQzE+zN4DK4+Ubs18/XOl/vAnYvNQkO8jVpJVKhCyThvM0NpVF0NBHB+NlvuWFY5MqWgEOnIV9ljts1iEBez68THDAQQ9vT781+DQueZb716D5ebR8oKmrhoaGiQzwcvQ6n7BIPSA5FOS0Pk8eBNiw376Ci8Buk0fg8E4KWZmMADeuNGov/7P4RoOJS0c6dstNjYiLBSIoHxNmxAOKm6GqGgsTHZT8flQs5LUxPGqq3FeH19qFaZmZEidFNTIDPc4C8chjejqwvj/ve/sgcP9xZiL0JFBbb3eDAfhwMJw9ksSIxaIaLmL6hhGe5wrXpEzHraqGBvDxMpTpJViQUbWmN4wcyAnT6N5aoUv7qN2tfHiEJeALPjGfsIeb34u+jpwTVfv17OYT6hCx4jH+mwCm/k28bqvBYSah5TNCqvkxWKbSlgtn6x8n147qUKUxYDTVw0NDTmrJfBuS3JJD5CwPBMT4OE8PpMBjkMwSAekm43DLbHAwJz7pzMT3G5QHJ27sT+3d3wrOzeDe9HYyOSbQcHse7cObyV19SAMLz5piQGx47hGFVVsuqorAzhqbo6hI5OnsR4FRUgN9yUsa0N24+NER06BM/Mpk34Xl6O7cfHkdMyPS3DXKdOwdi3t+PcjXkgbJQyGdkFWyUMqoEx6wmjGv5168xDPFYaIGYGzGbDOV24IBNp1fBQseREnUO+UI/aRoH3dTpxraNRScAK5WQUQxoKVeRYhTfybWN1XlaYC8lR857Mwm1GFDpP1bumhhwXE3yNOB9sIaGJi4aGRt7OuGbw+0EqhoZyqwbSaalsm05LpVwuL85mQSKmpkBS/H6pWDs8DELQ2goDeOECPAZDQ3gbX7sWno3Nm+E1OXcOY0xNYf4zM9JDc/q0zHnp6YFBbmkB8YlEQF7YoPC+g4P4cGPHhgbM/5VXMMd16zDe+DjmNDWFMFR1NYx/bS3OLRYDgWKtE87fiMexDecAsegd69KYhUaM3gmusNq8WfZPMhqhSATjsxCe6rUwGjj2yEQisqeMMTxEVFy4xZjYy2MZDaqanMyVLjU1RO94h9yHqLicDCJpiM2SVxfLm6CeV6EE2nzhwkJkptj5F9qO16u5UIsNvkba46KhoXFFYbfDSKv5GYkEvgshRddCIZCPbBb7lJdjucOBTzIpm/mlUtimogJeDpcLxvbYMVTkXHMNvk9P48F7+jTGGB2VJCSbBakIBhHmCQYxlt2OcE93N8Y4dw7eBbsdD2+HA6TGZsNcWI13aEjmfnB35EAA+2ezUpulpQXL6+pAbIgwJichj4/DA+Ryyaqivj6iw4dh5K69NtfbYgyNNDbi+jqd0thFo9jGqmR4YIDoX/+CYd+921wwTa1gYuPb2irHUMNDVt4F1dNipTlTyEiyJ4Co+KoZNYxy+jSutRpKKUavZr5Qz4vLvq0SaM3I25WodDJrfrmY4GsxObnwY2vioqGhYQqnE2RDfWPi5FcWmGOkUnggZrMwJELIHBImLFzlEwpJsuNyYSzOI2FSU12NcY4dQ77KO96B8AX3JmpqAkk6dgz7co5JdTU+3MuouRnkwGaDgSkrQ+JtaytIR2cnCIgQcp3HA1L0n//geyAgK6GGh5GXwjL9RDgfFkwz5oS4XNCkcTqlyzydBhlraZntnTC68ysqcK79/XLMQpUfjY0gb0LIXBwV8Thyf7jBI1Fungyfh2rozQTMVOM7V3VbHv+NN+S5FiIwKvmKx0FEuSGkGSFYbJLAVV/8u9V8jfssRu+hfCTNrPnlSoUmLhoaVznq6mDYJydhxBlGcsLLuJSYPRychMv9h9xuGM3p6VwPDRHWCwFD39wMY+V2Y9/RUZAH7sUzPS2bElZU4Hh+P0I/ly7BYF26JHNERkfhzeBmffX1OOZ118EzE4+DWPX24vfmZmjBqPkZLhdCPUNDyFXhztNCgFT4fFifzeJ7RwfOhQ2/aqTYgHR15XonrBrUsTE+dgw5N6oxVKs+ChnfigrMub8/10ipJbYTE/J4xlLoeNw8tHH2rBTqa25eGOMbj+Menj+PMB2L9BUbHmENlFAol2Spc1oskqDOY6GaQBLNz0NUTIuFxboOSwlNXDQ0rmL4/XhQFuvOVYkN58VwiTO3AUilQDKIsCybxfgeDwxTWRnWc06FyyVzRdasARF6/XXsd/vtWJZI4OeGDRjrxRdBJqqqYDS6urDNuXPwCqRSID7cnZqF55JJuPVjMVkNNTGBeTY0gIAMDcEgRqOYo9Mpu04HAjjOyAjm0tiI7Ywlu0YDUsg7wcZqbAxjj43NFqMrptooXxm0mhvS0ZEr26/OyZgQygJ4g4MLr4LK5xwKIZTGpLVYGM/TjBAsdtWMkWAspAJtqfvnS8I1CxMuVZhqoaGJi4bGVYyZmdmNEotFebl8ow+FQCLCYRi48XF4V4gkKWJxumxWir0lElLYbN8+PHRffRUEIxqFp6SnBw/Y1lYY3Kkp5KxEozj+8DCO0dAgQ1CDgyAgGzdiXh6PzJNJJLDu7FmMz12Ir7sOHhVW4E0mMWYolGvYOzvhpYrFMI94HN/VJojGJNt8b7tq6Kamhuh//gfnoBqv4WHkc2zYYP12byRHxhwPzkVhg2VVsWI09BwKYRE9Ps8LF6DPs22b9A6VikAAHhw1wZaoeMN6JY2xFcGYb8VRIc9IPmJklYSr7rOclYSLhSYuGhpXGZxOGQbKZuGNMOs/5HSCfJiVSvt8WJdOw1tit8MAlZeDFMRiICduNx6OLOPPRGPNGpCLmRls6/FgvLNn4TVhQzYzQ/T3v+P3jRsxp8pKlFzzvj4f5nTkiOxhlExiPVcTRSIIwWSzMP6s9JtOy4e31wuSkkyCRPh8UheGjSIn0E5PI+m3rAzEiNVBOb9lZATzMHpJOFSjlg1HozJ04/HIxFMOXRHhHkxMzL4XqkGySr608vaUEpIxI0scUjPzDhULHlvtr0RUumG9EsbYimCUEpIxm3eh+2Lcx0hk1NCf+nfL+6yGkJEmLhoaVxnMyhM5v0FFVRV+Dg/P3ieZxEPS7cZ2Dgc0UbJZ6bXg3JZgENvFYrL/EBFIiNMJg3zmDIy2zQaSUV2N8E95OeT/YzF4JZisjI8Tve1tkNhnYx0Ow5AeO4Yx29tlF2gi5I1cuoTcFS7X9vvxQHe7ZTWQ2030v/8rz3l8HMtDIYSG1q7FHLjaRwh5HmoCrZorQoTjDgzIcnD2ngQCs0M3RLmJlB4Pjs+hGrP+MsZ9GPPVQ7Harq0N81G9Q0SlhU/MvEFMWkupfjEz1otNYKwIRimhqbmQCOM+RiLDH7WpYql5UssdmrhoaFxlMNNsMas0GB2V1RrGHJhsFsa3rAzGgnVJHA5JXhoaYOC5MkntHM0aLrW1IBdCwAPT1IQSXm7MePgwDL3TiXFfeQUEobkZxz95EgRl7VrsG49jDlu2IIQRi4EUuVwgCpkMvCXV1dL7Ew5jPF7GpIebMNrtIAeTk/CisBaLEFIYLpMBwWGvB78JE8nQ0cAAxrbZcokgbx8Oy2aSDkduqMmYg2LsL8Pl6Wby+FaGqlgvhdV2Xi+O53KBVOULQxSzXFUOLrX6xcxYl2qcF1sN1wxzIRFmobxCnp9i86RWCjRx0dBYhbDbYewLNTjz+WQirRGZDMIA/JavGlwOtaRSMOishGuzyTCI2jWaSQsrznLXaH6wjoyAhCSTRB/8IMjKwAAM+A03wKCPjiLPw+3G8Z9/HmO+5S3IT4nFMJfGRuzjcEjJ/jVrpFT+5s0474sXcbyODnh3OLTDmin84WM3N+f2A1Kl+oeHQUqIcg3L1BSWNzWBiI2O4ruaE8MYH0dVFN8Xs/ABh1OMRml4GOejEohCBrjYt32r7axCUKWET4yeEhbtm2t/okK5RMX2LVpJhr1Yz89KPT8zaOKiobEK4XbDqHPHZhVlZTDYXJpsVvbMEELmv7D7nityOIclEsE6JjNlZZKMjI1hDDao3OW5vR3G/OJFhG8cDuzrdGIsmw3y+tXVRH/9K8JEDQ0w/u3tIEK9vSBVqRTmIIQUe4tEMOdkEtvU1iKZlPspxWJSs6W6GuvZIxIKYY4uF0hLTY30+qhVOEwg1AoOtRmhmrtChH1qa61DJk4nSBUr9qrGV034ZSNPlJv8y2q3vH0+A1VqUz6zbcxIQjFGVB2bMTyMJGzOdWJiV6oXJJ8Ho9S+RasNq+n8NHHR0FgFYMPPYK+AET4fjIMQMjmVXfKqh4TB5IcIhIRVarnM2eGAwU0k8MlmYUA5YZM9NPE4kmrZkLe1IVR07BjGWLcOJKGvj+gPf4Bo3M03S4PV2Um0dy8MdyiEJN6mJlkVxeJlPB8u8c5koBHC3aHV5FY+r4oKXIOhISzjbtexGOZTVQVCYWbMIxGIp6XTIFReL/Y7fVrO1Uh4iMyTdqemrMulVVXdVMpcqbW8HB+XS4atrPoIldKUj8hc0r7YMEe+fklE+N1mw/1PpaT4IF+jhfISrCbDPReoIcwLF7CsWLXi5YYVRVzUuLHG1YPKSjyINaxRbK8hDh1ls/io+zFpcbvxMxiUHaPZMxONSvn+REJWDBGB5Ph8IBOsnstgqf9gUHZ1TiTwkytpZmbwQI1EsF1fHz7BIMI5oRByXpqbJUnq7JTy/ZEI/lbY8+D3Y0weNxqVjR2DQRhj9khxzyI2qpkMknm7umRTQH7Aq96Ow4fRS2j9eniOqqpwrFdfxf5NTSAwxs7LRmOcT3+D16tG16jUqlYycTJxTQ2IgFkfoUJGXF0fjYKIcWisVENnPF/jsTlUVF0tj23WMHK+sJq7WaLzSjTmxWK+93M5YEURl9UgVaxROkptAKgxG9zxmPNVYjHz/ydWvuW8F49HemUmJ/GQczhkqS5X1ExO4hihkJT49/lkKImJD7cMeOkl/GRJ/YsXcazWVhjcsTGEDiYnMddoVPYdqqzEMd1uuf/p05jT2rUItRDBO+RwwJMyMADD6PcjxMQtAkZGMN+eHqlX0teH42zZAk+LimgU62Zm4GGJRqX679GjmPvGjVKTJpvFuKrsfr4QS3+//K6SkkAg1xNjLE9WK5k43GUkBkwGigm/GA3ahg3yOPlgpUtiJGVq2Ih/Tk3ldsFW57KYMCY6L1ePzHySh43ihMXez+WKFUVctAG7OrEYTbpWG1RtFjPYbCASmQyIRDY72yNSVSXJyOQkHnZuNwgFe2q4HxETlpYWEAMmQePjUrOFRdq4F1AmA+LAzQfdbqmqOzWFdW63NCScVOv3Y5tz57Asm8WYqRT2u+YabHP2LDwxkQiIT1UVjjMwgPOvqsI16u+HceRGj0QYr60Nn3gcpIQ9AEQYc2AAZMjjwXETCRybK6YqK3GM2loQh9FRjMX6NVx51NgoPRkMtSTYWEZdTKhEDQMw6VFDOipKrbzxeouXtI9GUcUVCiH8p5bnqjotRjE0DhMSWTePzIdSjLqV7sliVBPNt+RcxXySa42J1KW2KFhuWFHERUNDwxz5SAsRjH04jAee6mmx2WCM1WoUIaTqLQvUORxYxz2K2M0cCEiDQ5Sr0aIKvHGPo0QCJCEQQLimshJvf9PTkPlPpbB9VRXR9ddjXSJB9Je/SEJUVSW1X06fhtLstddi+dgY5sAy/+XlOL+2NhjSyUkcq7lZeo3q66UMPl+ba6/N1UZ54w14Zdavz80T4saJ/f0gO1xhdPo0rhV3hDYa55oaaeBdLizv7JQJqVxVY6VpYmXoVAJjpWeyGLkeai4Nh+o4Sdl4TDMxNCa1nJ9EZJ5XY4VSjLqV7slioNC8CoWpCrVxKBarLb9HExcNjWUCo77HYsCYI8bquOXl0ltBBKNrt+P3TAZzI4JhZ1n96Wl4W7jnEMNul8JkPp8kGvzQjMdBZISQOSmXLsE743bjAd7djTm1tuLBz6Gk5maiHTsgNc+CdKdOIXzj98v8Dj6fYBB5JuvWwQAmErKiyeuV2i8XL0pvSEfHbO2LdFpK3jscCEdxQ0LWbslkZN5MebnUeWHDmMnILtherzTwXq+872oSLieyqpomRkNXUyOvu1EHxWgIVSOYr1+SGlbi8Yy/Mzkyk5FXu2MzjOTATAzN4ZBdsIlKy8MoxTAvpREvdKxCYSqrNg6lYqXmslhBExcNjWWCxSItHJJRvTLckZkI5GVmRpZQJ5MyadXvh/FIJmWoicM0nNCqhnA5lOJ2gySwAJ3Nht+5a3M4LMNHhw8jzMMP75ERHHd6GssvXMD3qiqinTth+J1OhHLKytBw8eJFqOhu2YL5ORx40Dc2ysZ9w8OyimlyEtdjyxZsxxoxiQTKsFWvBYeOuHOzzycrmNTE1/Fx6SGJxXB+qRRCH2w0OP+GSBp4lyu3uaCaD2I0fOzNaWnBdqOjCGF5PPIYVoaw2EoiNZGXxzMLW5l5TlgIr5T8GYbxXEvJwyjFMC+lES90rEJhqtXmKVko2Oey05NPPkltbW3k9Xppz5499Nprr+Xd/tlnn6VNmzaR1+ulbdu20aFDh+Y0WQ0NDQlWoS2EYDD3oeh2w6ja7TDek5MgC4mEFJCz2eANaW2VJdHpNIx2ZSV+2u0wcBxuCgaxLJWC4R4ZgQeHSYIQMNw33givSSCAcAlrv7S2Qkxuzx787OhAeGZ4GMfMZkEO3nwTnopNm2Cws1kY/u3bMe5NN+HnunU43zNniF57DR4aJlrHj0Mf5sQJSU5mZkAC+I0/GsWx+vpw/ViDxu/Pdd1zGwD1Z2enVOo9eVJ6slRwebRZqGdkRIZa1MaDfI/UkBAfT50Ta8aoYxdbScTnYQxPGPc3Gt3aWlnFpObvqATQDLyeSM6Z82rYy1XsGPOpOl2IMUqF2d+AcT17tFZKRe1SXMeSPS6/+tWvaP/+/fTUU0/Rnj176LHHHqNbb72Vuru7qa6ubtb2r7zyCr3//e+nhx9+mN71rnfRL37xC3rve99Lhw8fpq1bt5Z0bF0OraEBuN0w5lNTMBahEMiBsVkiExt1ucsFA6h6ShKJXE0XJjaRCI6RzUpvQkMDlrMnJpmEN8TrxTjT07IBI/cjKiuDIV+zBvkia9di+blzWNfRgWXsRejrk6GoNWtAKMJhzGHHDpz7wADmdu212GbDBmkw+WF/5gzRc8/hvLZuhacikwHh4XyKw4dxrHXr4MWJx3GscBgJxpz/c/EirotKBM3CMF6vTDA9eRLVRkSzk04jEZx/IoFxOzqsS5XVkMK2bXKdMaylzolRKERkNn8VVmObeRPyzd3M0xOPg1AOD2NunNBrRCm6M3P1piyksuxCtg9YiHmZkcPFwlIo9NqEKM1BvWfPHrr++uvpiSeeICKibDZLzc3N9JnPfIbuu+++WdvfcccdFIvF6I9//OPlZTfccAN1dXXRU089ZXqMRCJBCUUpamJiglpaWojoAhEFS5muhsaqBVcScRny9HSuxD+XPguRu5x1WFIpkAa7XeZauN0ywTYYlCq0THJaWpBwevYsjscegGAQc+HcEiYrHo+U+29vxzx6e+EdSaWQy1JVBb0UzkU5fFhW8LjdsoSZBdo2b4bEP1cS9feDYDQ2Yr9YDL9PTcFwsNjW+vWyaicaJfrPf3DdONfkuusw354enNPFi5hzVxf25zyYykrMlQjHKC/Hz4sXpW4LY3AQOTi1tVKgjtHdjbLwUAhkpLXV+kHP5cLl5bOTN0dG8LvLheP5/TKHhwjrzeamophtioE6n5oa+bKpzl39PjWFe8t/u5s3y7BUMedf7Ppi5z7fMRjzuZ75rtdc5zUygjwwmw2VcPO5x4VgnO/k5CQ1NzdTJBKhEGezzxeiBCQSCeFwOMTvfve7nOUf+tCHxLvf/W7TfZqbm8V3v/vdnGVf+cpXxPbt2y2Pc+DAAUFE+qM/+qM/+qM/+rMKPmfOnCmFbuRFSaGikZERymQyVF9fn7O8vr6eTp06ZbpPOBw23T4cDlse54tf/CLt37//8vdIJEKtra3U19e3cIxNY05g9nzhwgUKBrX360pC34vlA30vlhf0/Vg+4IhJVVXVgo25LKuKPB4PedjPrSAUCuk/wmWCYDCo78Uygb4Xywf6Xiwv6PuxfGC3z6kWyHysUjauqakhh8NBg4ODOcsHBwepQa3zU9DQ0FDS9hoaGhoaGhoaViiJuLjdbtq5cye98MILl5dls1l64YUXaO/evab77N27N2d7IqLnn3/ecnsNDQ0NDQ0NDSuUHCrav38/3XXXXbRr1y7avXs3PfbYYxSLxegjH/kIERF96EMfoqamJnr44YeJiOizn/0s7du3j7797W/TO9/5Tjp48CD9+9//pqeffrroY3o8Hjpw4IBp+EhjaaHvxfKBvhfLB/peLC/o+7F8sBj3ouRyaCKiJ554gr75zW9SOBymrq4u+t73vkd79uwhIqK3ve1t1NbWRj/72c8ub//ss8/SAw88QOfOnaPOzk569NFH6bbbbluwk9DQ0NDQ0NC4OjAn4qKhoaGhoaGhcSWwcGm+GhoaGhoaGhqLDE1cNDQ0NDQ0NFYMNHHR0NDQ0NDQWDHQxEVDQ0NDQ0NjxWDZEJcnn3yS2trayOv10p49e+i1117Lu/2zzz5LmzZtIq/XS9u2baNDhw4t0UxXP0q5Fz/84Q/prW99K1VWVlJlZSXdcsstBe+dRvEo9f+CcfDgQbLZbPTe9753cSd4FaHUexGJROiee+6hxsZG8ng8tGHDBv2cWiCUei8ee+wx2rhxI5WVlVFzczPde++9FI/Hl2i2qxf/+Mc/6Pbbb6c1a9aQzWaj3//+9wX3efHFF2nHjh3k8Xho/fr1ORXIRWPBuh7NAwcPHhRut1v85Cc/EW+88Yb4+Mc/LioqKsTg4KDp9i+//LJwOBzi0UcfFSdOnBAPPPCAcLlc4vjx40s889WHUu/FBz7wAfHkk0+KI0eOiJMnT4oPf/jDIhQKif7+/iWe+epDqfeC0dvbK5qamsRb3/pW8Z73vGdpJrvKUeq9SCQSYteuXeK2224TL730kujt7RUvvviiOHr06BLPfPWh1HvxzDPPCI/HI5555hnR29sr/vznP4vGxkZx7733LvHMVx8OHTok7r//fvHb3/5WENGsBsxGnD17Vvh8PrF//35x4sQJ8fjjjwuHwyGee+65ko67LIjL7t27xT333HP5eyaTEWvWrBEPP/yw6fbve9/7xDvf+c6cZXv27BGf/OQnF3WeVwNKvRdGpNNpEQgExM9//vPFmuJVg7nci3Q6LW688Ubxox/9SNx1112auCwQSr0XP/jBD0R7e7tIJpNLNcWrBqXei3vuuUfcfPPNOcv2798vbrrppkWd59WGYojL5z//eXHNNdfkLLvjjjvErbfeWtKxrnioKJlM0uuvv0633HLL5WV2u51uueUW+uc//2m6zz//+c+c7YmIbr31VsvtNYrDXO6FEdPT05RKpRa0E+jViLnei6997WtUV1dHH/3oR5dimlcF5nIv/vCHP9DevXvpnnvuofr6etq6dSs99NBDlMlklmraqxJzuRc33ngjvf7665fDSWfPnqVDhw5pEdQrgIWy3Ve8O/TIyAhlMhmqr6/PWV5fX0+nTp0y3SccDptuHw6HF22eVwPmci+M+MIXvkBr1qyZ9cepURrmci9eeukl+vGPf0xHjx5dghlePZjLvTh79iz97W9/ow9+8IN06NAh6unpobvvvptSqRQdOHBgKaa9KjGXe/GBD3yARkZG6C1veQsJISidTtOnPvUp+tKXvrQUU9ZQYGW7JycnaWZmhsrKyooa54p7XDRWDx555BE6ePAg/e53vyOv13ulp3NVIRqN0p133kk//OEPqaam5kpP56pHNpuluro6evrpp2nnzp10xx130P33309PPfXUlZ7aVYcXX3yRHnroIfr+979Phw8fpt/+9rf0pz/9iR588MErPTWNOeKKe1xqamrI4XDQ4OBgzvLBwUFqaGgw3aehoaGk7TWKw1zuBeNb3/oWPfLII/TXYRoohwAAA1VJREFUv/6Vtm/fvpjTvCpQ6r04c+YMnTt3jm6//fbLy7LZLBEROZ1O6u7upo6OjsWd9CrFXP4vGhsbyeVykcPhuLxs8+bNFA6HKZlMktvtXtQ5r1bM5V58+ctfpjvvvJM+9rGPERHRtm3bKBaL0Sc+8Qm6//77yW7X7+9LBSvbHQwGi/a2EC0Dj4vb7aadO3fSCy+8cHlZNpulF154gfbu3Wu6z969e3O2JyJ6/vnnLbfXKA5zuRdERI8++ig9+OCD9Nxzz9GuXbuWYqqrHqXei02bNtHx48fp6NGjlz/vfve76e1vfzsdPXqUmpubl3L6qwpz+b+46aabqKen5zJ5JCI6ffo0NTY2atIyD8zlXkxPT88iJ0wohW7Vt6RYMNtdWt7w4uDgwYPC4/GIn/3sZ+LEiRPiE5/4hKioqBDhcFgIIcSdd94p7rvvvsvbv/zyy8LpdIpvfetb4uTJk+LAgQO6HHqBUOq9eOSRR4Tb7Ra/+c1vxMDAwOVPNBq9UqewalDqvTBCVxUtHEq9F319fSIQCIhPf/rToru7W/zxj38UdXV14utf//qVOoVVg1LvxYEDB0QgEBC//OUvxdmzZ8Vf/vIX0dHRId73vvddqVNYNYhGo+LIkSPiyJEjgojEd77zHXHkyBFx/vx5IYQQ9913n7jzzjsvb8/l0J/73OfEyZMnxZNPPrlyy6GFEOLxxx8XLS0twu12i927d4tXX3318rp9+/aJu+66K2f7X//612LDhg3C7XaLa665RvzpT39a4hmvXpRyL1pbWwURzfocOHBg6Se+ClHq/4UKTVwWFqXei1deeUXs2bNHeDwe0d7eLr7xjW+IdDq9xLNenSjlXqRSKfHVr35VdHR0CK/XK5qbm8Xdd98txsfHl37iqwx///vfTZ//fP3vuususW/fvln7dHV1CbfbLdrb28VPf/rTko9rE0L7yjQ0NDQ0NDRWBq54jouGhoaGhoaGRrHQxEVDQ0NDQ0NjxUATFw0NDQ0NDY0VA01cNDQ0NDQ0NFYMNHHR0NDQ0NDQWDHQxEVDQ0NDQ0NjxUATFw0NDQ0NDY0VA01cNDQ0NDQ0NFYMNHHR0NDQ0NDQWDHQxEVDQ0NDQ0NjxUATFw0NDQ0NDY0Vg/8HLafMSscSoxkAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "\n", + "for idx, batch in enumerate(train_dataloader):\n", + " est_cat = encoder.sample(batch, use_mode=True)\n", + " pred_redshifts = est_cat.to_dict()['redshifts']\n", + " true_redshifts = batch['tile_catalog']['redshifts']\n", + " \n", + " # Cut out border of true_redshifts\n", + " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", + " true_redshifts = true_redshifts.squeeze(-1)\n", + " \n", + " # Add this batch to scatterplot\n", + " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=3, alpha=0.1)\n", + " ax.set_xlim(0,1)\n", + " ax.set_ylim(0,1)\n", + " \n", + " # Too many objects so we break early here\n", + " if idx > 100:\n", + " break" + ] + }, + { + "cell_type": "markdown", + "id": "bea3462d", + "metadata": {}, + "source": [ + "This isn't a great result; we'd rather than scattplot look as close to the line $y=x$ as possible." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80ed2062", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/tutorials/1-FullPipelineExample.ipynb b/case_studies/redshift_estimation/notebooks/tutorials/1-FullPipelineExample.ipynb new file mode 100644 index 000000000..a08bd749f --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/tutorials/1-FullPipelineExample.ipynb @@ -0,0 +1,2855 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ce3c3ec4", + "metadata": {}, + "source": [ + "### Outline" + ] + }, + { + "cell_type": "markdown", + "id": "3565991a", + "metadata": {}, + "source": [ + "The goal of this notebook is to illustrate the full BLISS pipeline, briefly. We will identify several of the main data objects used along the way, but avoid mathematical intricacies and details of the training objective. Briefly, we'll have\n", + "\n", + "1. Generation of synthetic data\n", + "2. Training of the encoder network\n", + "3. Validation/evaluation of the encoder network on held-out data (either simulated or real)." + ] + }, + { + "cell_type": "markdown", + "id": "a6eb35f7", + "metadata": {}, + "source": [ + "#### 1. Generation of synthetic data." + ] + }, + { + "cell_type": "markdown", + "id": "d388caa8", + "metadata": {}, + "source": [ + "This would typically be done using something like ```bliss mode=generate``` from the command line. This calls the ```generate``` function within ```bliss/main.py```, using the default ```DictConfig``` object specified by the various ```.yaml``` files." + ] + }, + { + "cell_type": "markdown", + "id": "c48503ee", + "metadata": {}, + "source": [ + "The code below loads the file ```m2_config.yaml``` from ```case_studies/dependent_tiling``` as a DictConfig for use by ```hydra```. You may have to change some absolute and relative paths to get this to load for you." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "8163d060", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "2122d016", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/declan/current/bliss/case_studies/redshift_estimation/notebooks'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.getcwd()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "081900bd", + "metadata": {}, + "outputs": [], + "source": [ + "os.chdir('/home/declan/current/bliss')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "04657ad2", + "metadata": {}, + "outputs": [], + "source": [ + "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", + "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", + "import torch\n", + "import numpy as np\n", + "from os import environ\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from hydra.utils import instantiate\n", + "import matplotlib.pyplot as plt\n", + "from omegaconf import DictConfig, OmegaConf\n", + "from bliss.catalog import TileCatalog" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "c071ab00", + "metadata": {}, + "outputs": [], + "source": [ + "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", + "with initialize(config_path=\"../../case_studies/dependent_tiling\", version_base=None):\n", + " cfg = compose(\"m2_config\", overrides={\"surveys.sdss.load_image_data=true\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "e0fbff62", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "omegaconf.dictconfig.DictConfig" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(cfg)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "031aed62", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "paths:\n", + " root: ${oc.env:BLISS_HOME}\n", + " data: ${paths.root}/data\n", + " sdss: ${paths.data}/sdss\n", + " decals: ${paths.data}/decals\n", + " des: ${paths.data}/des\n", + " dc2: ${paths.data}/dc2\n", + " output: ${paths.root}/output\n", + " pretrained_models: ${paths.data}/pretrained_models\n", + "prior:\n", + " _target_: bliss.simulator.prior.CatalogPrior\n", + " survey_bands:\n", + " - u\n", + " - g\n", + " - r\n", + " - i\n", + " - z\n", + " reference_band: 2\n", + " star_color_model_path: ${simulator.survey.dir_path}/color_models/star_gmm_nmgy.pkl\n", + " gal_color_model_path: ${simulator.survey.dir_path}/color_models/gal_gmm_nmgy.pkl\n", + " n_tiles_h: 56\n", + " n_tiles_w: 56\n", + " tile_slen: 2\n", + " batch_size: 32\n", + " max_sources: 6\n", + " mean_sources: 0.48\n", + " min_sources: 0\n", + " prob_galaxy: 0.0\n", + " star_flux_exponent: 0.9859821185389767\n", + " star_flux_truncation: 5685.588160703261\n", + " star_flux_loc: -1.162430157551662\n", + " star_flux_scale: 1.4137911256506595\n", + " galaxy_flux_truncation: 1013\n", + " galaxy_flux_exponent: 0.47\n", + " galaxy_flux_scale: 0.6301037\n", + " galaxy_flux_loc: 0.0\n", + " galaxy_a_concentration: 0.39330758068481686\n", + " galaxy_a_loc: 0.8371888967872619\n", + " galaxy_a_scale: 4.432725319432478\n", + " galaxy_a_bd_ratio: 2.0\n", + "simulator:\n", + " _target_: bliss.simulator.simulated_dataset.SimulatedDataset\n", + " survey: ${surveys.sdss}\n", + " prior: ${prior}\n", + " n_batches: 128\n", + " use_coaddition: false\n", + " coadd_depth: 1\n", + " num_workers: 32\n", + " valid_n_batches: 10\n", + " fix_validation_set: true\n", + "cached_simulator:\n", + " _target_: bliss.simulator.simulated_dataset.CachedSimulatedDataset\n", + " batch_size: 23\n", + " splits: 0:80/80:90/90:100\n", + " num_workers: 0\n", + " cached_data_path: /data/scratch/regier/m2\n", + " file_prefix: ${generate.file_prefix}\n", + "encoder:\n", + " _target_: bliss.encoder.encoder.Encoder\n", + " survey_bands:\n", + " - u\n", + " - g\n", + " - r\n", + " - i\n", + " - z\n", + " tile_slen: 2\n", + " tiles_to_crop: 1\n", + " min_flux_threshold: 0.9419\n", + " optimizer_params:\n", + " lr: 0.001\n", + " scheduler_params:\n", + " milestones:\n", + " - 32\n", + " gamma: 0.1\n", + " image_normalizer:\n", + " _target_: bliss.encoder.image_normalizer.ImageNormalizer\n", + " bands:\n", + " - 2\n", + " include_original: false\n", + " use_deconv_channel: false\n", + " concat_psf_params: false\n", + " num_psf_params: 6\n", + " log_transform_stdevs:\n", + " - -3\n", + " - 0\n", + " - 1\n", + " - 3\n", + " use_clahe: true\n", + " clahe_min_stdev: 200\n", + " vd_spec:\n", + " _target_: bliss.encoder.variational_dist.VariationalDistSpec\n", + " survey_bands: ${encoder.survey_bands}\n", + " tile_slen: ${encoder.tile_slen}\n", + " matcher:\n", + " _target_: bliss.encoder.metrics.CatalogMatcher\n", + " dist_slack: 0.5\n", + " mag_slack: 0.5\n", + " mag_band: 2\n", + " metrics:\n", + " _target_: torchmetrics.MetricCollection\n", + " metrics:\n", + " - _target_: bliss.encoder.metrics.DetectionPerformance\n", + " mag_bin_cutoffs:\n", + " - 19\n", + " - 19.4\n", + " - 19.8\n", + " - 20.2\n", + " - 20.6\n", + " - 21\n", + " - 21.4\n", + " - 21.8\n", + " - 22.065\n", + " exclude_last_bin: true\n", + " do_data_augmentation: false\n", + " compile_model: false\n", + " double_detect: true\n", + " use_checkerboard: true\n", + "surveys:\n", + " sdss:\n", + " _target_: bliss.surveys.sdss.SloanDigitalSkySurvey\n", + " dir_path: ${paths.sdss}\n", + " fields:\n", + " - run: 2583\n", + " camcol: 2\n", + " fields:\n", + " - 136\n", + " psf_config:\n", + " pixel_scale: 0.396\n", + " psf_slen: 25\n", + " pixel_shift: 2\n", + " align_to_band: null\n", + " load_image_data: true\n", + " background_offset: 80\n", + " decals:\n", + " _target_: bliss.surveys.decals.DarkEnergyCameraLegacySurvey\n", + " dir_path: ${paths.decals}\n", + " sky_coords:\n", + " - ra: 336.6643042496718\n", + " dec: -0.9316385797930247\n", + " bands:\n", + " - 0\n", + " - 1\n", + " - 3\n", + " psf_config:\n", + " pixel_scale: 0.262\n", + " psf_slen: 63\n", + " pixel_shift: 2\n", + " des:\n", + " _target_: bliss.surveys.des.DarkEnergySurvey\n", + " dir_path: ${paths.des}\n", + " image_ids:\n", + " - sky_coord:\n", + " ra: 336.6643042496718\n", + " dec: -0.9316385797930247\n", + " decals_brickname: 3366m010\n", + " ccdname: S28\n", + " g: decam/CP/V4.8.2a/CP20171108/c4d_171109_002003_ooi_g_ls9\n", + " r: decam/CP/V4.8.2a/CP20170926/c4d_170927_025457_ooi_r_ls9\n", + " i: ''\n", + " z: decam/CP/V4.8.2a/CP20170926/c4d_170927_025655_ooi_z_ls9\n", + " psf_config:\n", + " pixel_scale: 0.262\n", + " psf_slen: 63\n", + " pixel_shift: 2\n", + " dc2:\n", + " _target_: bliss.surveys.dc2.DC2\n", + " data_dir: /nfs/turbo/lsa-regier/lsstdesc-public/dc2/run2.2i-dr6-v4/coadd-t3828-t3829/deepCoadd-results/\n", + " cat_path: ${paths.dc2}/merged_catalog/merged_catalog_psf_100.pkl\n", + " batch_size: 64\n", + " n_split: 50\n", + " image_lim:\n", + " - 4000\n", + " - 4000\n", + " use_deconv_channel: ${encoder.image_normalizer.use_deconv_channel}\n", + " deconv_path: ${paths.dc2}/coadd_deconv_image\n", + "mode: train\n", + "generate:\n", + " n_image_files: 16\n", + " n_batches_per_file: 16\n", + " simulator: ${simulator}\n", + " cached_data_path: /data/scratch/regier/m2\n", + " file_prefix: dataset\n", + "train:\n", + " trainer:\n", + " _target_: pytorch_lightning.Trainer\n", + " logger:\n", + " _target_: pytorch_lightning.loggers.TensorBoardLogger\n", + " save_dir: ${paths.output}\n", + " name: null\n", + " version: null\n", + " default_hp_metric: false\n", + " callbacks:\n", + " - _target_: pytorch_lightning.callbacks.ModelCheckpoint\n", + " filename: best_encoder\n", + " save_top_k: 1\n", + " verbose: true\n", + " monitor: val/_loss\n", + " mode: min\n", + " save_on_train_epoch_end: false\n", + " auto_insert_metric_name: false\n", + " - _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping\n", + " monitor: val/_loss\n", + " mode: min\n", + " patience: 5\n", + " reload_dataloaders_every_n_epochs: 0\n", + " check_val_every_n_epoch: 1\n", + " log_every_n_steps: 10\n", + " min_epochs: 1\n", + " max_epochs: 50\n", + " accelerator: gpu\n", + " devices: 1\n", + " precision: 16-mixed\n", + " data_source: ${cached_simulator}\n", + " encoder: ${encoder}\n", + " seed: 42\n", + " pretrained_weights: null\n", + " testing: true\n", + "predict:\n", + " dataset:\n", + " _target_: bliss.surveys.sdss.SloanDigitalSkySurvey\n", + " dir_path: ${paths.sdss}\n", + " fields:\n", + " - run: 2583\n", + " camcol: 2\n", + " fields:\n", + " - 136\n", + " psf_config:\n", + " pixel_scale: 0.396\n", + " psf_slen: 25\n", + " pixel_shift: 2\n", + " align_to_band: null\n", + " load_image_data: true\n", + " background_offset: 80\n", + " crop_config:\n", + " - 624\n", + " - 736\n", + " - 304\n", + " - 416\n", + " trainer:\n", + " _target_: pytorch_lightning.Trainer\n", + " accelerator: gpu\n", + " precision: ${train.trainer.precision}\n", + " encoder: ${encoder}\n", + " weight_save_path: null\n", + " device: cuda:0\n", + "\n" + ] + } + ], + "source": [ + "print(OmegaConf.to_yaml(cfg, resolve=False, sort_keys=False))" + ] + }, + { + "cell_type": "markdown", + "id": "8b09b90e", + "metadata": {}, + "source": [ + "You can browse the above printouts to get a feel for how the config is structured. Our project will eventually add some configurables and we'll have our own config similar to the above." + ] + }, + { + "cell_type": "markdown", + "id": "040ff86b", + "metadata": {}, + "source": [ + "The ```generate``` function from ```bliss/main.py``` takes arguments as\n", + "\n", + "```\n", + "def generate(gen_cfg: DictConfig):\n", + " ...\n", + "\n", + "```\n", + "\n", + "and so we can plug in a given ```DictConfig``` like the above to generate data. The true ```generate``` function is much more complex than what is given below, and helps cache previously simulated data to save time, etc. Our altered function below is used only for illustration purposes, where we'll generate a single batch of simulated data." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8f757dfa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'n_image_files': 16, 'n_batches_per_file': 16, 'simulator': '${simulator}', 'cached_data_path': '/data/scratch/regier/m2', 'file_prefix': 'dataset'}" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.generate" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "91a0b753", + "metadata": {}, + "outputs": [], + "source": [ + "def generate(gen_cfg: DictConfig):\n", + " simulated_dataset = instantiate(gen_cfg.simulator, num_workers=0)\n", + "\n", + " for _ in range(1):\n", + " batch = simulated_dataset.get_batch()\n", + " \n", + " return batch" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "ea8875eb", + "metadata": {}, + "outputs": [], + "source": [ + "simulated_batch_of_data = generate(cfg.generate)" + ] + }, + { + "cell_type": "markdown", + "id": "a49107fd", + "metadata": {}, + "source": [ + "Note that the 'full' configurable has three main subconfigs: `cfg.generate, cfg.train, cfg.predict`. This just helps keep things more organized. We only passed `cfg.generate` to the ```generate``` function." + ] + }, + { + "cell_type": "markdown", + "id": "f6ede728", + "metadata": {}, + "source": [ + "##### ***Running the above cell will take several minutes*** " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "5ad8088f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['tile_catalog', 'images', 'background', 'deconvolution', 'psf_params'])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simulated_batch_of_data.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "b7b0fa5e", + "metadata": {}, + "source": [ + "The simulated batch is a ```dict``` object. These can be stored to disk in some fashion that we won't worry about right now (see ```generate``` function in ```bliss/main.py```), as we'll just work with this single batch. Let's examine some of the objects." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "80febdf8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes'])" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tc = simulated_batch_of_data['tile_catalog']\n", + "tc.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "6af0fb98", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([32, 56, 56, 6, 2])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tc['locs'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "7fda619d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([32, 56, 56])" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tc['n_sources'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "c7343d6f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([32, 56, 56, 6, 1])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tc['source_type'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "333e37d7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([32, 56, 56, 6, 5])" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tc['galaxy_fluxes'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "27784fa8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([32, 56, 56, 6, 6])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tc['galaxy_params'].shape" + ] + }, + { + "cell_type": "markdown", + "id": "4910fbe5", + "metadata": {}, + "source": [ + "The first three dimensions of all these objects are 32 x 56 x 56. These numbers represent the following:\n", + "- 32 = number of synthetic (simulated) images\n", + "- 56 = number of tiles lengthwise\n", + "- 56 = number of tiles widthwise\n", + "\n", + "BLISS operates by dividing a given images into *tiles* of a certain size. This can be thought of as parsing the image into bite-size pieces. The number of tiles and number of images in simulated batches are controllable from the config object, e.g. " + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "bf1064cd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(32, 56, 56)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.prior.batch_size, cfg.prior.n_tiles_h, cfg.prior.n_tiles_w" + ] + }, + { + "cell_type": "markdown", + "id": "0905ea62", + "metadata": {}, + "source": [ + "BLISS constrains the number of objects per tile to be between 0 and 5. Tiles are small enough (in terms of pixel size) to make this reasonable. Hence if we examine ```tc['n_sources']``` we see that this tensor specifies the number of sources for each tile in each image." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "7cddd276", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[0, 1, 0, ..., 0, 0, 0],\n", + " [0, 0, 3, ..., 1, 0, 1],\n", + " [0, 0, 0, ..., 0, 0, 1],\n", + " ...,\n", + " [0, 1, 0, ..., 0, 1, 0],\n", + " [0, 0, 1, ..., 0, 1, 0],\n", + " [0, 1, 0, ..., 0, 0, 1]])" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tc['n_sources'][0] #56 x 56 tensor telling us the number of sources in each tile for the first image." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "c6625598", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(tensor(5), tensor(0))" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tc['n_sources'].max(), tc['n_sources'].min()" + ] + }, + { + "cell_type": "markdown", + "id": "30a195f6", + "metadata": {}, + "source": [ + "Each object (or source) can be one of several different types. There are at most 5 sources per tile. Hence ```tc['source_type']``` has a per-tile shape of 5 x 1. For tile, this tells us the type of each source. If there are fewer than 5 sources, the extra information is discarded or masked somehow. This number 5 that is floating around all the other dimensions arises similarly from the fact that we have at most 5 sources per tile. We can gather from the shapes above that ```locs``` contains a 2d coordinate for each source; ```galaxy_fluxes``` contains 5 parameters for each source; ```galaxy_params``` contains 6 parameters for each source, etc. \n", + "\n", + "***All of the these are latent random variables $z$ that are used to generate the image. Given a tile catalog like the above, we have all the information necessary to generate synthetic images $x$. The inference problem is then to take an image $x$ and construct a distribution on all of these quantities $z$. In other words, given an image, we divide it into tiles and for each tile we aim to recover the number of sources, the type of each source, the locations of each, the fluxes for each, etc.***" + ] + }, + { + "cell_type": "markdown", + "id": "6d8bb321", + "metadata": {}, + "source": [ + "Let's examine a sample synthetic image below." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "9caf998f", + "metadata": {}, + "outputs": [], + "source": [ + "ims = simulated_batch_of_data['images']" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "a370684d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([32, 5, 112, 112])" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ims.shape" + ] + }, + { + "cell_type": "markdown", + "id": "6ea11845", + "metadata": {}, + "source": [ + "As expected, there are 32 images. The dimension 5 does not correspond to the number of sources per tile, but rather to the *photometric band* of each image, corresponding to u,g,r,i,z for SDSS data. Read more here: https://www.sdss4.org/instruments/camera/#Filters\n", + "\n", + "Again, these are specified in the config:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "b20c65dd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['u', 'g', 'r', 'i', 'z']" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.prior.survey_bands" + ] + }, + { + "cell_type": "markdown", + "id": "7798b6ac", + "metadata": {}, + "source": [ + "We gather that each image for each band is 112 x 112. Recalling that we have 56 x 56 tiles, this implie that each tile is 2x2. Again, this is specified in the config." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "90191d74", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.prior.tile_slen" + ] + }, + { + "cell_type": "markdown", + "id": "6f794ed7", + "metadata": {}, + "source": [ + "Let's examine some simulated images." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "e3872beb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(ims[0][0]) #u-band for first of 32 images" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "3aee17ae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(ims[0][1]) #g-band for first of 32 images" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "d3120342", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(ims[0][2]) #r-band for first of 32 images" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "af18fa31", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(ims[0][3]) #i-band for first of 32 images" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "987cfe8d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(ims[0][4]) #z-band for first of 32 images" + ] + }, + { + "cell_type": "markdown", + "id": "d9a2f325", + "metadata": {}, + "source": [ + "We notice that some objects appear not to show up in some bands, or appear more faint in some bands than others. This is normal: objects emit light at different wavelengths, and so in some wavelength ranges (e.g. a particular band) an object may not appear to be visible at all." + ] + }, + { + "cell_type": "markdown", + "id": "f7840f63", + "metadata": {}, + "source": [ + "We won't worry about the other latent variables for now (given again below). More detail on these can be explored on a project-by-project basis." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "e4b48546", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['tile_catalog', 'images', 'background', 'deconvolution', 'psf_params'])" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simulated_batch_of_data.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "8207c586", + "metadata": {}, + "source": [ + "#### 2. Training the encoder" + ] + }, + { + "cell_type": "markdown", + "id": "8448575d", + "metadata": {}, + "source": [ + "The encoder $q_\\phi(z \\mid x)$ learns a *variational distribution* on $z$ conditional on an observed $x$. We use machine learning and amortization to automate this process: given any $x$, we get a distribution on $z$ by putting $x$ through a neural network (whose parameters are $\\phi$). For us, $z$ is a complex object, consisting of all the parameters in the tile catalog above (or more). \n", + "\n", + "The training objective is quite simple, and is given by\n", + "\n", + "$$\n", + "\\max_\\phi \\mathbb{E}_{p(z,x)} \\log q_\\phi(z \\mid x)\n", + "$$\n", + "\n", + "in other words, maximize the variational density across all $z,x$ from the generative model $p(z,x)$. For us, the generative model is given by \n", + "\n", + "$$\n", + "p(z,x) = p(z) p(x \\mid x)\n", + "$$\n", + "\n", + "where $p(z)$ is the prior, and $p(x \\mid x)$ generats images from the prior. We won't focus much at all on $p(z \\mid x)$. Rather, we'll focus on the prior, and we will alter the tile catalog $z$ (e.g., to include new parameters such as redshift). The information for the prior is again given by the config:" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "982b24f3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "_target_: bliss.simulator.prior.CatalogPrior\n", + "survey_bands:\n", + "- u\n", + "- g\n", + "- r\n", + "- i\n", + "- z\n", + "reference_band: 2\n", + "star_color_model_path: /home/declan/current/bliss/data/sdss/color_models/star_gmm_nmgy.pkl\n", + "gal_color_model_path: /home/declan/current/bliss/data/sdss/color_models/gal_gmm_nmgy.pkl\n", + "n_tiles_h: 56\n", + "n_tiles_w: 56\n", + "tile_slen: 2\n", + "batch_size: 32\n", + "max_sources: 6\n", + "mean_sources: 0.48\n", + "min_sources: 0\n", + "prob_galaxy: 0.0\n", + "star_flux_exponent: 0.9859821185389767\n", + "star_flux_truncation: 5685.588160703261\n", + "star_flux_loc: -1.162430157551662\n", + "star_flux_scale: 1.4137911256506595\n", + "galaxy_flux_truncation: 1013\n", + "galaxy_flux_exponent: 0.47\n", + "galaxy_flux_scale: 0.6301037\n", + "galaxy_flux_loc: 0.0\n", + "galaxy_a_concentration: 0.39330758068481686\n", + "galaxy_a_loc: 0.8371888967872619\n", + "galaxy_a_scale: 4.432725319432478\n", + "galaxy_a_bd_ratio: 2.0\n", + "\n" + ] + } + ], + "source": [ + "print(OmegaConf.to_yaml(cfg.prior, resolve=False, sort_keys=False))" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "ce02eaeb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.0" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.prior.galaxy_a_bd_ratio" + ] + }, + { + "cell_type": "markdown", + "id": "a7a77410", + "metadata": {}, + "source": [ + "These numbers can be considered as hyperparameters that define the prior. We don't actually need to infer these numbers precisely. Rather, for a tile catalog $z$ sampled from the prior $p(z)$, we want to infer $z$ given its corresponding image $x$.\n", + "\n", + "Training is performed using the ```train``` function from ```bliss/main.py```. As above, we pass `cfg.train` to the `train` function, which is reproduced below (with some lines omitted)." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "b74eb45b", + "metadata": {}, + "outputs": [], + "source": [ + "def train(train_cfg: DictConfig):\n", + " # setup seed\n", + " pl.seed_everything(train_cfg.seed)\n", + "\n", + " # setup dataset, encoder, and trainer\n", + " dataset = instantiate(train_cfg.data_source)\n", + " encoder = instantiate(train_cfg.encoder)\n", + " trainer = instantiate(train_cfg.trainer)\n", + "\n", + " # train!\n", + " trainer.fit(encoder, datamodule=dataset)\n" + ] + }, + { + "cell_type": "markdown", + "id": "7ffdb56d", + "metadata": {}, + "source": [ + "Let's examine the three main objects that the training procedure evidently uses: a dataset, an encoder, and a trainer. Again, these are all specified by the config, and instatiated in the train function above." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "082c1cde", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'_target_': 'bliss.simulator.simulated_dataset.CachedSimulatedDataset', 'batch_size': 23, 'splits': '0:80/80:90/90:100', 'num_workers': 0, 'cached_data_path': '/data/scratch/regier/m2', 'file_prefix': '${generate.file_prefix}'}" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.train.data_source" + ] + }, + { + "cell_type": "markdown", + "id": "1b3d3795", + "metadata": {}, + "source": [ + "We see that the data-source is a cached dataset. In other words, lots of saved $z,x$ pairs from the generative model $p(z,x)$ that have been written to disk previously. These are used to fit the objective function approximately, e.g.\n", + "\n", + "$$\n", + "\\max_\\phi \\frac{1}{n} \\sum_{i=1}^n \\log q_\\phi(z_i \\mid x_i)\n", + "$$\n", + "\n", + "where $n$ is the number of cached $z,x$ pairs that have been saved. For us, we only have one pair of $z,x$. We'll evidently need to convert these to type `CachedSimulatedDataset` to fit in with the framework." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "fb11887d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'_target_': 'bliss.encoder.encoder.Encoder', 'survey_bands': ['u', 'g', 'r', 'i', 'z'], 'tile_slen': 2, 'tiles_to_crop': 1, 'min_flux_threshold': 0.9419, 'optimizer_params': {'lr': 0.001}, 'scheduler_params': {'milestones': [32], 'gamma': 0.1}, 'image_normalizer': {'_target_': 'bliss.encoder.image_normalizer.ImageNormalizer', 'bands': [2], 'include_original': False, 'use_deconv_channel': False, 'concat_psf_params': False, 'num_psf_params': 6, 'log_transform_stdevs': [-3, 0, 1, 3], 'use_clahe': True, 'clahe_min_stdev': 200}, 'vd_spec': {'_target_': 'bliss.encoder.variational_dist.VariationalDistSpec', 'survey_bands': '${encoder.survey_bands}', 'tile_slen': '${encoder.tile_slen}'}, 'matcher': {'_target_': 'bliss.encoder.metrics.CatalogMatcher', 'dist_slack': 0.5, 'mag_slack': 0.5, 'mag_band': 2}, 'metrics': {'_target_': 'torchmetrics.MetricCollection', 'metrics': [{'_target_': 'bliss.encoder.metrics.DetectionPerformance', 'mag_bin_cutoffs': [19, 19.4, 19.8, 20.2, 20.6, 21, 21.4, 21.8, 22.065], 'exclude_last_bin': True}]}, 'do_data_augmentation': False, 'compile_model': False, 'double_detect': True, 'use_checkerboard': True}" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.train.encoder" + ] + }, + { + "cell_type": "markdown", + "id": "930eab00", + "metadata": {}, + "source": [ + "All these configurables will instantiate an `Encoder` object. This object will perform the function described above, i.e. given an image $x$ it will give us a distribution on the tile catalog $z$. " + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "f4e4a182", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'_target_': 'pytorch_lightning.Trainer', 'logger': {'_target_': 'pytorch_lightning.loggers.TensorBoardLogger', 'save_dir': '${paths.output}', 'name': None, 'version': None, 'default_hp_metric': False}, 'callbacks': [{'_target_': 'pytorch_lightning.callbacks.ModelCheckpoint', 'filename': 'best_encoder', 'save_top_k': 1, 'verbose': True, 'monitor': 'val/_loss', 'mode': 'min', 'save_on_train_epoch_end': False, 'auto_insert_metric_name': False}, {'_target_': 'pytorch_lightning.callbacks.early_stopping.EarlyStopping', 'monitor': 'val/_loss', 'mode': 'min', 'patience': 5}], 'reload_dataloaders_every_n_epochs': 0, 'check_val_every_n_epoch': 1, 'log_every_n_steps': 10, 'min_epochs': 1, 'max_epochs': 50, 'accelerator': 'gpu', 'devices': 1, 'precision': '16-mixed'}" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.train.trainer" + ] + }, + { + "cell_type": "markdown", + "id": "0f74037e", + "metadata": {}, + "source": [ + "The trainer evidently wraps up the training procedure with lots of information about logging, checkpoints, metrics, etc. We won't worry so much about this for now." + ] + }, + { + "cell_type": "markdown", + "id": "9d8d6908", + "metadata": {}, + "source": [ + "Our simplified version of training for illustrative purposes will try to unwrap some of the abstraction above. Let's first instantiate the encodeer so we can examine it." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "79121201", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Encoder(\n", + " (image_normalizer): ImageNormalizer()\n", + " (vd_spec): VariationalDistSpec()\n", + " (mode_metrics): MetricCollection(\n", + " (DetectionPerformance): DetectionPerformance()\n", + " )\n", + " (sample_metrics): MetricCollection(\n", + " (DetectionPerformance): DetectionPerformance()\n", + " )\n", + " (features_net): FeaturesNet(\n", + " (preprocess3d): Sequential(\n", + " (0): Conv3d(1, 64, kernel_size=(6, 5, 5), stride=(1, 1, 1), padding=(0, 2, 2))\n", + " (1): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (2): SiLU()\n", + " )\n", + " (backbone): Sequential(\n", + " (0): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (1): Sequential(\n", + " (0): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (3): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): ConvBlock(\n", + " (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (3): Sequential(\n", + " (0): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (3): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (4): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (4): ConvBlock(\n", + " (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " (marginal_net): CatalogNet(\n", + " (net_ml): ModuleList(\n", + " (0): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (3): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (4): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (5): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (3): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (4): Upsample(scale_factor=2.0, mode='nearest')\n", + " (5): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (6): Detect(\n", + " (conv): Conv2d(256, 38, kernel_size=(1, 1), stride=(1, 1))\n", + " )\n", + " )\n", + " )\n", + " (checkerboard_net): ContextNet(\n", + " (encode_context): Sequential(\n", + " (0): ConvBlock(\n", + " (conv): Conv2d(2, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): ConvBlock(\n", + " (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (merge): ConvBlock(\n", + " (conv): Conv2d(320, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (catalog_net): CatalogNet(\n", + " (net_ml): ModuleList(\n", + " (0): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (3): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (4): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (5): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (3): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (4): Upsample(scale_factor=2.0, mode='nearest')\n", + " (5): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (6): Detect(\n", + " (conv): Conv2d(256, 38, kernel_size=(1, 1), stride=(1, 1))\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (second_net): CatalogNet(\n", + " (net_ml): ModuleList(\n", + " (0): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (3): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (4): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (5): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (1): ConvBlock(\n", + " (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (2): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (3): ConvBlock(\n", + " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (4): Upsample(scale_factor=2.0, mode='nearest')\n", + " (5): C3(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv3): ConvBlock(\n", + " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (m): Sequential(\n", + " (0): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (1): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " (2): Bottleneck(\n", + " (cv1): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " (cv2): ConvBlock(\n", + " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", + " (activation): SiLU(inplace=True)\n", + " )\n", + " )\n", + " )\n", + " )\n", + " (6): Detect(\n", + " (conv): Conv2d(256, 38, kernel_size=(1, 1), stride=(1, 1))\n", + " )\n", + " )\n", + " )\n", + ")" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "encoder = instantiate(cfg.train.encoder)\n", + "encoder" + ] + }, + { + "cell_type": "markdown", + "id": "13482ce9", + "metadata": {}, + "source": [ + "If you're familiar with PyTorch, you'll recognize that the encoder essentially is a huge neural network as described above, with some fancy preprocessing, normalization, metrics, etc. Let's examine some of the Encoder object's methods, which are reproduced below." + ] + }, + { + "cell_type": "markdown", + "id": "70982c2d", + "metadata": {}, + "source": [ + "```\n", + "def _single_detection_nll(self, target_cat, pred):\n", + " marginal_loss = pred[\"marginal\"].compute_nll(target_cat)\n", + "\n", + " if not self.use_checkerboard:\n", + " return marginal_loss\n", + "\n", + " white_loss = pred[\"white\"].compute_nll(target_cat)\n", + " white_loss_mask = 1 - pred[\"white_history_mask\"]\n", + " white_loss *= white_loss_mask\n", + "\n", + " black_loss = pred[\"black\"].compute_nll(target_cat)\n", + " black_loss_mask = pred[\"white_history_mask\"]\n", + " black_loss *= black_loss_mask\n", + "\n", + " # we divide by two because we score two predictions for each tile\n", + " return (marginal_loss + white_loss + black_loss) / 2\n", + "\n", + " def _double_detection_nll(self, target_cat1, target_cat, pred):\n", + " target_cat2 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=1)\n", + "\n", + " nll_marginal_z1 = self._single_detection_nll(target_cat1, pred)\n", + " nll_cond_z2 = pred[\"second\"].compute_nll(target_cat2)\n", + " nll_marginal_z2 = self._single_detection_nll(target_cat2, pred)\n", + " nll_cond_z1 = pred[\"second\"].compute_nll(target_cat1)\n", + "\n", + " none_mask = target_cat.n_sources == 0\n", + " loss0 = nll_marginal_z1 * none_mask\n", + "\n", + " one_mask = target_cat.n_sources == 1\n", + " loss1 = (nll_marginal_z1 + nll_cond_z2) * one_mask\n", + "\n", + " two_mask = target_cat.n_sources >= 2\n", + " loss2a = nll_marginal_z1 + nll_cond_z2\n", + " loss2b = nll_marginal_z2 + nll_cond_z1\n", + " lse_stack = torch.stack([loss2a, loss2b], dim=-1)\n", + " loss2_unmasked = -torch.logsumexp(-lse_stack, dim=-1)\n", + " loss2 = loss2_unmasked * two_mask\n", + "\n", + " return loss0 + loss1 + loss2\n", + "```\n", + "\n", + "Here, NLL stands for negative log likelihood, and for us this corresponds to $-\\log q_\\phi(z \\mid x)$. We try to minimize this quantity, equivalent to maximizing the negative of it as we formulated above. Let's compute the NLL loss for the encoder. This should be poor because the encoder has been initialized only, not trained at all. The following code snippets are adapated from the `_compute_loss` function of the `Encoder` class in `bliss/encoder/encoder.py`." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "ece21c05", + "metadata": {}, + "outputs": [], + "source": [ + "batch = simulated_batch_of_data #renaming to something shorter\n", + "batch_size = batch[\"images\"].size(0)\n", + "target_cat = TileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "d90c7973", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "TileCatalog(32 x 56 x 56)" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "target_cat" + ] + }, + { + "cell_type": "markdown", + "id": "72c693fb", + "metadata": {}, + "source": [ + "The object `target_cat` is the \"target catalog\" of interest. It's of type TileCatalog that we create from the simulated batch." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "30a83498", + "metadata": {}, + "outputs": [], + "source": [ + "# filter out undetectable sources\n", + "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + "\n", + "# make predictions/inferences\n", + "target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)\n", + "truth_callback = lambda _: target_cat1\n", + "pred = encoder.infer(batch, truth_callback)" + ] + }, + { + "cell_type": "markdown", + "id": "77cbaa92", + "metadata": {}, + "source": [ + "The above code performs some preprocessing on a per-tile basis to eliminate dim objects, etc. We don't need to understand all the details right now. The `infer` method of the `Encoder` object on the last line operates directly on the images of the batch i.e. `batch['images']`. It is a complex method that splits the image into tiles that are designated as white or black in a 'checkerboard' scheme --- this scheme helps with detection of objects at tile boundaries, which is a complex problem in its own right. We don't really need to understand the details of how all of this works for now. We do want to at least understand the form of the resulting object, which is stored in variable `pred`." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "35296f8c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['x_features', 'marginal', 'history_cat', 'white_history_mask', 'white', 'black', 'second'])" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "cb97ba8c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "VariationalDist()" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred['marginal']" + ] + }, + { + "cell_type": "markdown", + "id": "37ed9627", + "metadata": {}, + "source": [ + "The resulting `VariationalDist` will be used to compute\n", + "\n", + "$$\n", + "- \\log q_\\phi(z \\mid x).\n", + "$$\n", + "\n", + "Recall $z$ is the `target_cat` of type `TileCatalog`. Because we're generating synthetic data, the latent variable $z$ is not hidden, but known. The $x$ is given by the images from `batch['images']`, and these are operated on by the `infer` method of the encoder. The resulting computations yield the objects in `pred.keys()` above, which can be used to compute $-\\log q_\\phi(z \\mid x)$ for this particular data batch. Rather than using the functions `_single_detection_nll` and `_double_detection_nll`, we could use the `compute_nll` method of the `VariationalDist` class. We'll do this for ease here." + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "d964b10c", + "metadata": {}, + "outputs": [], + "source": [ + "loss = pred['marginal'].compute_nll(target_cat1)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "916ff8ad", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([32, 56, 56])" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "loss.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "b48ddc06", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(16.8119, grad_fn=)" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "loss.mean()" + ] + }, + { + "cell_type": "markdown", + "id": "2c3534e9", + "metadata": {}, + "source": [ + "Loss is evidently computed on a per-image per-tile basis. We'll average across all of these because they all deserve equal weighting in our toy setup here. Now that we've illustrated how to compute the loss, let's wrap this all into a training loop to fit the encoder. We'll fit by optimizing the parameters directly rather than wrapping the procedure into a PyTorch Lightning routine as is done in the true BLISS code. \n", + "\n", + "This is extremely simplistic: we have a single batch of data $z,x$ that we generated above. Nevertheless, in the training loop below, we still redefine/recompute `pred` and the target catalogs. In a true training procedure with many different batches of images, this would need to be done within the loop because we'll have a different batch of images every time." + ] + }, + { + "cell_type": "markdown", + "id": "9da8cdfc", + "metadata": {}, + "source": [ + "***Cell below runs very slow because all CPU. True codebase is optimized to GPU. Naive use of GPU below will lead to out of memory error.***" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "ce0df9cc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iteration 0: Loss 16.811948776245117\n", + "Iteration 10: Loss 6.598885536193848\n", + "Iteration 20: Loss 5.9178547859191895\n", + "Iteration 30: Loss 5.234957218170166\n", + "Iteration 40: Loss 4.901239395141602\n", + "Iteration 50: Loss 4.73112154006958\n", + "Iteration 60: Loss 4.614767551422119\n", + "Iteration 70: Loss 4.516098499298096\n", + "Iteration 80: Loss 4.427545547485352\n", + "Iteration 90: Loss 4.342630386352539\n", + "Iteration 100: Loss 4.261025905609131\n", + "Iteration 110: Loss 4.1851487159729\n", + "Iteration 120: Loss 4.108051776885986\n", + "Iteration 130: Loss 4.046842098236084\n", + "Iteration 140: Loss 3.957535982131958\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[53], line 20\u001b[0m\n\u001b[1;32m 18\u001b[0m optimizer\u001b[38;5;241m.\u001b[39mzero_grad()\n\u001b[1;32m 19\u001b[0m loss \u001b[38;5;241m=\u001b[39m loss \u001b[38;5;241m=\u001b[39m pred[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmarginal\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mcompute_nll(target_cat1)\u001b[38;5;241m.\u001b[39mmean()\n\u001b[0;32m---> 20\u001b[0m \u001b[43mloss\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 21\u001b[0m optimizer\u001b[38;5;241m.\u001b[39mstep()\n\u001b[1;32m 23\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m%\u001b[39m \u001b[38;5;241m10\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n", + "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/_tensor.py:487\u001b[0m, in \u001b[0;36mTensor.backward\u001b[0;34m(self, gradient, retain_graph, create_graph, inputs)\u001b[0m\n\u001b[1;32m 477\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m has_torch_function_unary(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 478\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m handle_torch_function(\n\u001b[1;32m 479\u001b[0m Tensor\u001b[38;5;241m.\u001b[39mbackward,\n\u001b[1;32m 480\u001b[0m (\u001b[38;5;28mself\u001b[39m,),\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 485\u001b[0m inputs\u001b[38;5;241m=\u001b[39minputs,\n\u001b[1;32m 486\u001b[0m )\n\u001b[0;32m--> 487\u001b[0m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mautograd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 488\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgradient\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mretain_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreate_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minputs\u001b[49m\n\u001b[1;32m 489\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/autograd/__init__.py:200\u001b[0m, in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables, inputs)\u001b[0m\n\u001b[1;32m 195\u001b[0m retain_graph \u001b[38;5;241m=\u001b[39m create_graph\n\u001b[1;32m 197\u001b[0m \u001b[38;5;66;03m# The reason we repeat same the comment below is that\u001b[39;00m\n\u001b[1;32m 198\u001b[0m \u001b[38;5;66;03m# some Python versions print out the first line of a multi-line function\u001b[39;00m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;66;03m# calls in the traceback and some print out the last line\u001b[39;00m\n\u001b[0;32m--> 200\u001b[0m \u001b[43mVariable\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execution_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_backward\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# Calls into the C++ engine to run the backward pass\u001b[39;49;00m\n\u001b[1;32m 201\u001b[0m \u001b[43m \u001b[49m\u001b[43mtensors\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgrad_tensors_\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mretain_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreate_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 202\u001b[0m \u001b[43m \u001b[49m\u001b[43mallow_unreachable\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccumulate_grad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "niter = 300\n", + "optimizer = torch.optim.Adam(encoder.parameters(), lr=1e-3)\n", + "for i in range(niter):\n", + " # Many of the lines below are redundant because we have a single batch\n", + " # so quantities don't change.\n", + " \n", + " target_cat = TileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", + " # filter out undetectable sources\n", + " if encoder.min_flux_threshold > 0:\n", + " target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + "\n", + " # make predictions/inferences\n", + " target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)\n", + " truth_callback = lambda _: target_cat1\n", + " pred = encoder.infer(batch, truth_callback)\n", + " \n", + " # Main gradient step code\n", + " optimizer.zero_grad()\n", + " loss = loss = pred['marginal'].compute_nll(target_cat1).mean()\n", + " loss.backward()\n", + " optimizer.step()\n", + " \n", + " if i % 10 == 0:\n", + " print('Iteration {}: Loss {}'.format(i, loss.item()))\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "a47b2447", + "metadata": {}, + "source": [ + "The training procedure above is very rough: there's no learning rate tuning, scheduling, etc., and we don't run fitting procedure all the way to convergence due to time constraints. Nevertheless, this is enough to get a feel for how fitting the encoder should generally go. In actuality, however, a lot of this will be abstracted away within PyTorch lightning procedures." + ] + }, + { + "cell_type": "markdown", + "id": "af17600a", + "metadata": {}, + "source": [ + "We want to see how the encoder is doing. Recall we just have a single data pair $z,x$ that we've been training with. It's a reasonable expectation that with enough training time our encoder should learn to output the correct $z$ given $x$ as an input. Let's check it out. We do this by using the `sample` method of the encoder. We'll simply take the posterior mode for now, i.e. the mode of the distribution $q_\\phi(z \\mid x)$, but we could generate more diverse samples from the actual distribution if desired." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "e163ae4e", + "metadata": {}, + "outputs": [], + "source": [ + "posterior_mode = encoder.sample(batch, use_mode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "075bd046", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bliss.catalog.TileCatalog" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(posterior_mode)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "2952e89d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['tile_slen', 'locs', 'n_sources', 'batch_size', 'n_tiles_h', 'n_tiles_w', 'max_sources', 'data'])" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vars(posterior_mode).keys()" + ] + }, + { + "cell_type": "markdown", + "id": "6be8bae7", + "metadata": {}, + "source": [ + "Let's compare the posterior model to the true target catalog $z$, which is the variable `target_cat` after wrapping up in this object." + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "e461aff7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(torch.Size([32, 54, 54]), torch.Size([32, 56, 56]))" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "posterior_mode.n_sources.shape, target_cat.n_sources.shape" + ] + }, + { + "cell_type": "markdown", + "id": "9d12a901", + "metadata": {}, + "source": [ + "BLISS usually omits border tiles. We'll want to do the same when we look at the target catalog for evaluation." + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "4d4c4959", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(torch.Size([32, 54, 54]), torch.Size([32, 54, 54]))" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "posterior_mode.n_sources.shape, target_cat.n_sources[:,1:-1,1:-1, ...].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "454ea679", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(0.5619)" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "1.-(posterior_mode.n_sources != target_cat.n_sources[:,1:-1,1:-1, ...]).sum()/(32*54*54)" + ] + }, + { + "cell_type": "markdown", + "id": "d57514da", + "metadata": {}, + "source": [ + "The line above tells use that the posterior mode has the correct number of sources in about 56% of tiles across the 32 images in our batch. This number would be much higher if we trained longer. Note that the variational distribution constrains us to have at most 2 sources per tile, so it's not surprising that some are wrong." + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "019360c7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(0.9394)" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "1.-(torch.abs(posterior_mode.n_sources - target_cat.n_sources[:,1:-1,1:-1, ...]) > 1).sum()/(32*54*54)" + ] + }, + { + "cell_type": "markdown", + "id": "f88d6568", + "metadata": {}, + "source": [ + "The line above tells us that in 94% of tiles in our 32 images, the number of sources detected differs from the true number of sources by no more than 1. In other words, even when the number of sources is wrong, it's usually off by no more than 1, calling mistaking 3 sources for 2, for example." + ] + }, + { + "cell_type": "markdown", + "id": "89967dd2", + "metadata": {}, + "source": [ + "We can see if locations look approximately correct. Let's just look at a single tile, the first tile of the first image. Recall we need to omit the border tiles from the target catalog." + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "74285c0a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(torch.Size([32, 54, 54, 2, 2]), torch.Size([32, 56, 56, 6, 2]))" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "posterior_mode.locs.shape, target_cat.locs.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "a4297a5d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[0.5239, 0.4951],\n", + " [0.4982, 0.4801]], grad_fn=)" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "posterior_mode.locs[0][0][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "8dcd33c0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[0., 0.],\n", + " [0., 0.],\n", + " [0., 0.],\n", + " [0., 0.],\n", + " [0., 0.],\n", + " [0., 0.]])" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "target_cat.locs[:,1:-1,1:-1,...][0][0][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "9caf87b9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(0)" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "target_cat.n_sources[:,1:-1,1:-1, ...][0][0][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "fd2a81dd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(1)" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "posterior_mode.n_sources[0][0][0]" + ] + }, + { + "cell_type": "markdown", + "id": "42c472f3", + "metadata": {}, + "source": [ + "The true catalog says there's no sources in this particular tile, hence the coordinates for all (at most 5) potential sources are zeroed out. It looks initially like the posterior mode thinks there's two sources, because these coordinates are non-zero. However, if we check the n_sources attribute the number of sources is actually predicted to be 1. This is a quirk of the variational distribution: in the calculation of the NLL, we only account for the number of sources detected. If zero are detected and there truly are zero, for example, the locations don't factor into the NLL." + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "9971b1ef", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(1)" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "target_cat.n_sources[:,1:-1,1:-1, ...][0][1][-10]" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "66d681dc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(0)" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "posterior_mode.n_sources[0][1][-10]" + ] + }, + { + "cell_type": "markdown", + "id": "b4e86b5f", + "metadata": {}, + "source": [ + "Now we found a tile with 2 sources. Let's look at locations for these." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "201443ff", + "metadata": {}, + "outputs": [], + "source": [ + "target_cat.locs[:,1:-1,1:-1,...][0][2][-1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d124ab76", + "metadata": {}, + "outputs": [], + "source": [ + "posterior_mode.locs[0][2][-1]" + ] + }, + { + "cell_type": "markdown", + "id": "521c6548", + "metadata": {}, + "source": [ + "Not particularly close, suggesting maybe more training is needed. Let's find a tile where we're a bit closer." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55fcb5fe", + "metadata": {}, + "outputs": [], + "source": [ + "target_cat.n_sources[:,1:-1,1:-1, ...][-1][-1][0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7d47722f", + "metadata": {}, + "outputs": [], + "source": [ + "posterior_mode.n_sources[-1][-1][0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c9c12b8f", + "metadata": {}, + "outputs": [], + "source": [ + "target_cat.locs[:,1:-1,1:-1,...][-1][-1][0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3f80ecf", + "metadata": {}, + "outputs": [], + "source": [ + "posterior_mode.locs[-1][-1][0]" + ] + }, + { + "cell_type": "markdown", + "id": "612b930b", + "metadata": {}, + "source": [ + "We detected one source in this tile and were correct: it's located at 0.7778,.9750. We predict it to be at .7026, .9352 which is kind of close, but still would ideally be better (remember the second line is ignored because we predict only a single source)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef15295a", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/tutorials/2-ImageGeneration.ipynb b/case_studies/redshift_estimation/notebooks/tutorials/2-ImageGeneration.ipynb new file mode 100644 index 000000000..18ffcd87b --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/tutorials/2-ImageGeneration.ipynb @@ -0,0 +1,945 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ce3c3ec4", + "metadata": {}, + "source": [ + "### Outline" + ] + }, + { + "cell_type": "markdown", + "id": "a6eb35f7", + "metadata": {}, + "source": [ + "#### 1. Generation of synthetic data." + ] + }, + { + "cell_type": "markdown", + "id": "d388caa8", + "metadata": {}, + "source": [ + "This would typically be done using something like ```bliss mode=generate``` from the command line. This calls the ```generate``` function within ```bliss/main.py```, using the default ```DictConfig``` object specified by the various ```.yaml``` files." + ] + }, + { + "cell_type": "markdown", + "id": "c48503ee", + "metadata": {}, + "source": [ + "The code below loads the file ```redshift.yaml``` from ```case_studies/redshift_estimation``` as a DictConfig for use by ```hydra```. You may have to change some absolute and relative paths to get this to load for you." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "8163d060", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "2122d016", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/declan/current/bliss'" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.getcwd()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "081900bd", + "metadata": {}, + "outputs": [], + "source": [ + "os.chdir('/home/declan/current/bliss')" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "04657ad2", + "metadata": {}, + "outputs": [], + "source": [ + "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", + "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", + "import torch\n", + "import numpy as np\n", + "from os import environ\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from hydra.utils import instantiate\n", + "import matplotlib.pyplot as plt\n", + "from omegaconf import DictConfig, OmegaConf\n", + "from bliss.catalog import TileCatalog" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "c071ab00", + "metadata": {}, + "outputs": [], + "source": [ + "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", + "with initialize(config_path=\"../\", version_base=None):\n", + " cfg = compose(\"redshift\", overrides={\"surveys.sdss.load_image_data=true\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "e0fbff62", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "omegaconf.dictconfig.DictConfig" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(cfg)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "031aed62", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "paths:\n", + " root: ${oc.env:BLISS_HOME}\n", + " data: ${paths.root}/data\n", + " sdss: ${paths.data}/sdss\n", + " decals: ${paths.data}/decals\n", + " des: ${paths.data}/des\n", + " dc2: ${paths.data}/dc2\n", + " output: ${paths.root}/output\n", + " pretrained_models: ${paths.data}/pretrained_models\n", + "prior:\n", + " _target_: case_studies.redshift_estimation.prior.RedshiftPrior\n", + " survey_bands:\n", + " - u\n", + " - g\n", + " - r\n", + " - i\n", + " - z\n", + " reference_band: 2\n", + " star_color_model_path: ${simulator.survey.dir_path}/color_models/star_gmm_nmgy.pkl\n", + " gal_color_model_path: ${simulator.survey.dir_path}/color_models/gal_gmm_nmgy.pkl\n", + " n_tiles_h: 20\n", + " n_tiles_w: 20\n", + " tile_slen: 4\n", + " batch_size: 64\n", + " max_sources: 1\n", + " mean_sources: 0.2\n", + " min_sources: 0\n", + " prob_galaxy: 0.72\n", + " star_flux_exponent: 0.43\n", + " star_flux_truncation: 640\n", + " star_flux_loc: 0.0\n", + " star_flux_scale: 0.63094948\n", + " galaxy_flux_truncation: 1013\n", + " galaxy_flux_exponent: 0.47\n", + " galaxy_flux_scale: 0.6301037\n", + " galaxy_flux_loc: 0.0\n", + " galaxy_a_concentration: 0.39330758068481686\n", + " galaxy_a_loc: 0.8371888967872619\n", + " galaxy_a_scale: 4.432725319432478\n", + " galaxy_a_bd_ratio: 2.0\n", + " redshift_min: 0.99\n", + " redshift_max: 1.01\n", + "simulator:\n", + " _target_: case_studies.redshift_estimation.simulated_dataset.RedshiftSimulatedDataset\n", + " survey: ${surveys.sdss}\n", + " prior: ${prior}\n", + " n_batches: 128\n", + " use_coaddition: false\n", + " coadd_depth: 1\n", + " num_workers: 32\n", + " valid_n_batches: 10\n", + " fix_validation_set: true\n", + "cached_simulator:\n", + " _target_: bliss.simulator.simulated_dataset.CachedSimulatedDataset\n", + " batch_size: 32\n", + " splits: 0:80/80:90/90:100\n", + " num_workers: 0\n", + " cached_data_path: /data/scratch/declan/redshift_estimation\n", + " file_prefix: ${generate.file_prefix}\n", + "encoder:\n", + " _target_: bliss.encoder.encoder.Encoder\n", + " survey_bands:\n", + " - u\n", + " - g\n", + " - r\n", + " - i\n", + " - z\n", + " tile_slen: ${simulator.prior.tile_slen}\n", + " tiles_to_crop: 1\n", + " min_flux_threshold: 0\n", + " optimizer_params:\n", + " lr: 0.001\n", + " scheduler_params:\n", + " milestones:\n", + " - 32\n", + " gamma: 0.1\n", + " image_normalizer:\n", + " _target_: bliss.encoder.image_normalizer.ImageNormalizer\n", + " bands:\n", + " - 0\n", + " - 1\n", + " - 2\n", + " - 3\n", + " - 4\n", + " include_original: false\n", + " use_deconv_channel: false\n", + " concat_psf_params: false\n", + " num_psf_params: 6\n", + " log_transform_stdevs:\n", + " - -3\n", + " - 0\n", + " - 1\n", + " - 3\n", + " use_clahe: true\n", + " clahe_min_stdev: 200\n", + " vd_spec:\n", + " _target_: case_studies.redshift_estimation.variational_dist.RedshiftVariationalDistSpec\n", + " survey_bands: ${encoder.survey_bands}\n", + " tile_slen: ${encoder.tile_slen}\n", + " matcher:\n", + " _target_: bliss.encoder.metrics.CatalogMatcher\n", + " dist_slack: 1.0\n", + " mag_slack: null\n", + " mag_band: 2\n", + " metrics:\n", + " _target_: torchmetrics.MetricCollection\n", + " metrics:\n", + " - _target_: bliss.encoder.metrics.DetectionPerformance\n", + " mag_bin_cutoffs:\n", + " - 19\n", + " - 19.4\n", + " - 19.8\n", + " - 20.2\n", + " - 20.6\n", + " - 21\n", + " - 21.4\n", + " - 21.8\n", + " - _target_: bliss.encoder.metrics.SourceTypeAccuracy\n", + " - _target_: bliss.encoder.metrics.FluxError\n", + " survey_bands: ${encoder.survey_bands}\n", + " - _target_: bliss.encoder.metrics.GalaxyShapeError\n", + " do_data_augmentation: false\n", + " compile_model: false\n", + " double_detect: false\n", + " use_checkerboard: false\n", + "surveys:\n", + " sdss:\n", + " _target_: bliss.surveys.sdss.SloanDigitalSkySurvey\n", + " dir_path: ${paths.sdss}\n", + " fields:\n", + " - run: 94\n", + " camcol: 1\n", + " fields:\n", + " - 12\n", + " psf_config:\n", + " pixel_scale: 0.396\n", + " psf_slen: 25\n", + " pixel_shift: 2\n", + " align_to_band: null\n", + " load_image_data: true\n", + " decals:\n", + " _target_: bliss.surveys.decals.DarkEnergyCameraLegacySurvey\n", + " dir_path: ${paths.decals}\n", + " sky_coords:\n", + " - ra: 336.6643042496718\n", + " dec: -0.9316385797930247\n", + " bands:\n", + " - 0\n", + " - 1\n", + " - 3\n", + " psf_config:\n", + " pixel_scale: 0.262\n", + " psf_slen: 63\n", + " pixel_shift: 2\n", + " des:\n", + " _target_: bliss.surveys.des.DarkEnergySurvey\n", + " dir_path: ${paths.des}\n", + " image_ids:\n", + " - sky_coord:\n", + " ra: 336.6643042496718\n", + " dec: -0.9316385797930247\n", + " decals_brickname: 3366m010\n", + " ccdname: S28\n", + " g: decam/CP/V4.8.2a/CP20171108/c4d_171109_002003_ooi_g_ls9\n", + " r: decam/CP/V4.8.2a/CP20170926/c4d_170927_025457_ooi_r_ls9\n", + " i: ''\n", + " z: decam/CP/V4.8.2a/CP20170926/c4d_170927_025655_ooi_z_ls9\n", + " psf_config:\n", + " pixel_scale: 0.262\n", + " psf_slen: 63\n", + " pixel_shift: 2\n", + " dc2:\n", + " _target_: bliss.surveys.dc2.DC2\n", + " data_dir: /nfs/turbo/lsa-regier/lsstdesc-public/dc2/run2.2i-dr6-v4/coadd-t3828-t3829/deepCoadd-results/\n", + " cat_path: ${paths.dc2}/merged_catalog/merged_catalog_psf_100.pkl\n", + " batch_size: 64\n", + " n_split: 50\n", + " image_lim:\n", + " - 4000\n", + " - 4000\n", + " use_deconv_channel: ${encoder.image_normalizer.use_deconv_channel}\n", + " deconv_path: ${paths.dc2}/coadd_deconv_image\n", + "mode: train\n", + "generate:\n", + " n_image_files: 16\n", + " n_batches_per_file: 16\n", + " simulator: ${simulator}\n", + " cached_data_path: /data/scratch/declan/redshift_estimation\n", + " file_prefix: dataset\n", + "train:\n", + " trainer:\n", + " _target_: pytorch_lightning.Trainer\n", + " logger:\n", + " _target_: pytorch_lightning.loggers.TensorBoardLogger\n", + " save_dir: ${paths.output}\n", + " name: null\n", + " version: null\n", + " default_hp_metric: false\n", + " callbacks:\n", + " - _target_: pytorch_lightning.callbacks.ModelCheckpoint\n", + " filename: best_encoder\n", + " save_top_k: 1\n", + " verbose: true\n", + " monitor: val/_loss\n", + " mode: min\n", + " save_on_train_epoch_end: false\n", + " auto_insert_metric_name: false\n", + " - _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping\n", + " monitor: val/_loss\n", + " mode: min\n", + " patience: 5\n", + " reload_dataloaders_every_n_epochs: 0\n", + " check_val_every_n_epoch: 1\n", + " log_every_n_steps: 10\n", + " min_epochs: 1\n", + " max_epochs: 50\n", + " accelerator: gpu\n", + " devices: 1\n", + " precision: 32\n", + " data_source: ${cached_simulator}\n", + " encoder: ${encoder}\n", + " seed: 42\n", + " pretrained_weights: null\n", + " testing: true\n", + "predict:\n", + " dataset: ${surveys.sdss}\n", + " trainer:\n", + " _target_: pytorch_lightning.Trainer\n", + " accelerator: gpu\n", + " precision: ${train.trainer.precision}\n", + " encoder: ${encoder}\n", + " weight_save_path: ${paths.pretrained_models}/clahed_logged_20percent.pt\n", + " device: cuda:0\n", + "\n" + ] + } + ], + "source": [ + "print(OmegaConf.to_yaml(cfg, resolve=False, sort_keys=False))" + ] + }, + { + "cell_type": "markdown", + "id": "8b09b90e", + "metadata": {}, + "source": [ + "You can browse the above printouts to get a feel for how the config is structured. Our project will eventually add some configurables and we'll have our own config similar to the above." + ] + }, + { + "cell_type": "markdown", + "id": "040ff86b", + "metadata": {}, + "source": [ + "The ```generate``` function from ```bliss/main.py``` takes arguments as\n", + "\n", + "```\n", + "def generate(gen_cfg: DictConfig):\n", + " ...\n", + "\n", + "```\n", + "\n", + "and so we can plug in a given ```DictConfig``` like the above to generate data. The true ```generate``` function is much more complex than what is given below, and helps cache previously simulated data to save time, etc. Our altered function below is used only for illustration purposes, where we'll generate a single batch of simulated data." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "8f757dfa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'n_image_files': 16, 'n_batches_per_file': 16, 'simulator': '${simulator}', 'cached_data_path': '/data/scratch/declan/redshift_estimation', 'file_prefix': 'dataset'}" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.generate" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "237744d6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'_target_': 'case_studies.redshift_estimation.simulated_dataset.RedshiftSimulatedDataset', 'survey': '${surveys.sdss}', 'prior': '${prior}', 'n_batches': 128, 'use_coaddition': False, 'coadd_depth': 1, 'num_workers': 32, 'valid_n_batches': 10, 'fix_validation_set': True}" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.generate.simulator" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "3a11f368", + "metadata": {}, + "outputs": [], + "source": [ + "from case_studies.redshift_estimation.prior import RedshiftPrior\n", + "from case_studies.redshift_estimation.simulated_dataset import RedshiftSimulatedDataset" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "e85c0375", + "metadata": {}, + "outputs": [], + "source": [ + "simulated_dataset = instantiate(cfg.generate.simulator)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "91a0b753", + "metadata": {}, + "outputs": [], + "source": [ + "def generate(gen_cfg: DictConfig):\n", + " simulated_dataset = instantiate(gen_cfg.simulator, num_workers=0)\n", + "\n", + " for _ in range(1):\n", + " batch = simulated_dataset.get_batch()\n", + " \n", + " return batch" + ] + }, + { + "cell_type": "markdown", + "id": "0873fdb6", + "metadata": {}, + "source": [ + "##### ***Running the cell below will take several minutes*** " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "ea8875eb", + "metadata": {}, + "outputs": [], + "source": [ + "simulated_batch_of_data = generate(cfg.generate)" + ] + }, + { + "cell_type": "markdown", + "id": "a49107fd", + "metadata": {}, + "source": [ + "Note that the 'full' configurable has three main subconfigs: `cfg.generate, cfg.train, cfg.predict`. This just helps keep things more organized. We only passed `cfg.generate` to the ```generate``` function." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "5ad8088f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['tile_catalog', 'images', 'background', 'deconvolution', 'psf_params'])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simulated_batch_of_data.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "b7b0fa5e", + "metadata": {}, + "source": [ + "The simulated batch is a ```dict``` object. These can be stored to disk in some fashion that we won't worry about right now (see ```generate``` function in ```bliss/main.py```), as we'll just work with this single batch. Let's examine some of the objects. The main objects produced are the tile catalogs and the images. Let's look at the attributes of the tile catalog." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "80febdf8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tc = simulated_batch_of_data['tile_catalog']\n", + "tc.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "6533f3a8", + "metadata": {}, + "source": [ + "The quantities we're most interested in are `star_fluxes` and `galaxy_fluxes`. Checking shapes, we see that these have magnitudes corresponding to `u,g,r,i,z` bands. The bands are specified in the prior." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "796f26f7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['u', 'g', 'r', 'i', 'z']" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.prior.survey_bands" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "81f62bc5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(torch.Size([64, 20, 20, 1, 5]), torch.Size([64, 20, 20, 1, 5]))" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tc['galaxy_fluxes'].shape, tc['star_fluxes'].shape" + ] + }, + { + "cell_type": "markdown", + "id": "4910fbe5", + "metadata": {}, + "source": [ + "The first three dimensions of all these objects are 64 x 20 x 20. These numbers represent the following:\n", + "- 64 = number of synthetic (simulated) images\n", + "- 20 = number of tiles lengthwise\n", + "- 20 = number of tiles widthwise\n", + "\n", + "BLISS operates by dividing a given images into *tiles* of a certain size. This can be thought of as parsing the image into bite-size pieces. The number of tiles and number of images in simulated batches are controllable from the config object, e.g. " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "bf1064cd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(64, 20, 20)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.prior.batch_size, cfg.prior.n_tiles_h, cfg.prior.n_tiles_w" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "9caf998f", + "metadata": {}, + "outputs": [], + "source": [ + "ims = simulated_batch_of_data['images']" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "a370684d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 5, 80, 80])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ims.shape" + ] + }, + { + "cell_type": "markdown", + "id": "6ea11845", + "metadata": {}, + "source": [ + "As expected, there are 64 images. The dimension 5 does not correspond to the number of sources per tile, but rather to the *photometric band* of each image, corresponding to u,g,r,i,z for SDSS data. Read more here: https://www.sdss4.org/instruments/camera/#Filters\n", + "\n", + "Again, these are specified in the config:" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "b20c65dd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['u', 'g', 'r', 'i', 'z']" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.prior.survey_bands" + ] + }, + { + "cell_type": "markdown", + "id": "7798b6ac", + "metadata": {}, + "source": [ + "We gather that each image for each band is 80 x 80. Recalling that we have 20 x 20 tiles, this implie that each tile is 4x4. Again, this is specified in the config." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "90191d74", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.prior.tile_slen" + ] + }, + { + "cell_type": "markdown", + "id": "6f794ed7", + "metadata": {}, + "source": [ + "Let's examine some simulated images." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "e3872beb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(ims[0][0]) #u-band for first of 64 images" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "3aee17ae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(ims[0][1]) #g-band for first of 64 images" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "d3120342", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(ims[0][2]) #r-band for first of 64 images" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "af18fa31", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(ims[0][3]) #i-band for first of 64 images" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "987cfe8d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(ims[0][4]) #z-band for first of 64 images" + ] + }, + { + "cell_type": "markdown", + "id": "beaa357b", + "metadata": {}, + "source": [ + "## Your task: dive into the method `.get_batch()` that is used to generate these images. See how this method and methods it calls use the `flux` parameters from the tile catalog. Overwrite these fluxes to change the brightnesses of the resulting objects. You should be able to see this effect in each band." + ] + }, + { + "cell_type": "markdown", + "id": "a29afe83", + "metadata": {}, + "source": [ + "You will want to start maybe with the `render_star`, `render_galaxy`, and `render_image` functions in the image decoder. You can modify code as needed, e.g. hardcode a single tile-catalog and alter it to explore the different renderings." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "112381b1", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/tutorials/3-Training.ipynb b/case_studies/redshift_estimation/notebooks/tutorials/3-Training.ipynb new file mode 100644 index 000000000..a9ca5a187 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/tutorials/3-Training.ipynb @@ -0,0 +1,139 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2a920829", + "metadata": {}, + "source": [ + "# Training" + ] + }, + { + "cell_type": "markdown", + "id": "b55a0626", + "metadata": {}, + "source": [ + "Typically, training and large-scale data generation will occur on the command line. \n", + "\n", + "## Large-scale data generation\n", + "\n", + "The command to generate data with a particular choice of config is:" + ] + }, + { + "cell_type": "raw", + "id": "83b05a30", + "metadata": {}, + "source": [ + "nohup ./scripts/generate_data_in_parallel.sh -n 16 -cp /home/declan/current/bliss/case_studies/redshift_estimation/ -cn redshift.yaml &> generate_output.out &" + ] + }, + { + "cell_type": "markdown", + "id": "f4437eae", + "metadata": {}, + "source": [ + "Let's parse each component of this command.\n", + "\n", + "- nohup: makes this command run in the background\n", + "- ./scripts/generate_data_in_parallel: the executable script to run\n", + "- -n 16: args to this script indicating how many parallel processes to use to generate data\n", + "- -cp: config path argument\n", + "- -cn: config name argument\n", + "- &> generate_output.out &: pipes output to file generate_output.out that will log all printouts from this process" + ] + }, + { + "cell_type": "markdown", + "id": "bc3fea04", + "metadata": {}, + "source": [ + "Internally, the script calls the command `bliss mode=generate` with some of these arguments. Most of these are obvious once you see the meaning of each as above. \n", + "\n", + "\n", + "To try this out on your own, do the following exercise:\n", + "\n", + "1. Create a copy of the file `base_config.yaml` and call it something else.\n", + "2. Within this new file, alter the arguments for `generate.n_image_files` and `generate.n_batches_per_file`. Make them smaller.\n", + "3. Alter the argument for `generate.cached_data_path` to a new directory of your choice.\n", + "4. Run the command above, plugging in your config path and config name.\n", + "5. Verify that data is generated.\n", + "\n", + "\n", + "Below, you may want to inspect your generated data by loading a batch and plotting the images." + ] + }, + { + "cell_type": "markdown", + "id": "a409d0a2", + "metadata": {}, + "source": [ + "## Training" + ] + }, + { + "cell_type": "markdown", + "id": "dad7f350", + "metadata": {}, + "source": [ + "*After* generating data as above, you can train your model using the following command." + ] + }, + { + "cell_type": "raw", + "id": "0ac08495", + "metadata": {}, + "source": [ + "nohup bliss -cp /your/config/path --config-name config_name.yaml mode=train &> training.out &" + ] + }, + { + "cell_type": "markdown", + "id": "b0e24b6c", + "metadata": {}, + "source": [ + "Hopefully you are able to parse the command line args here." + ] + }, + { + "cell_type": "markdown", + "id": "0ecf94e0", + "metadata": {}, + "source": [ + "Now, \n", + "\n", + "1. Look at your config_name.yaml in `paths.output` to see the directory where your results are stored.\n", + "2. Verify that you have a `version_0` directory with a valid checkpoint." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a8a33f7c", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/tutorials/4-Prediction.ipynb b/case_studies/redshift_estimation/notebooks/tutorials/4-Prediction.ipynb new file mode 100644 index 000000000..bc348a55d --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/tutorials/4-Prediction.ipynb @@ -0,0 +1,235 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e9a2ad30", + "metadata": {}, + "source": [ + "# Prediction" + ] + }, + { + "cell_type": "markdown", + "id": "66860e55", + "metadata": {}, + "source": [ + "In this notebook, you'll load the weights of your model and use it to make predictions.\n", + "\n", + "Below, practice changing the filepaths as needed to adapt to your setup." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "d3578c49", + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import numpy as np\n", + "import math\n", + "import os\n", + "import pytorch_lightning as pl\n", + "import torch\n", + "from hydra.utils import instantiate" + ] + }, + { + "cell_type": "markdown", + "id": "6fdcad67", + "metadata": {}, + "source": [ + "You may need to change a path here." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "33c107e3", + "metadata": {}, + "outputs": [], + "source": [ + "from os import environ\n", + "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", + "\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from bliss.main import predict, train\n", + "\n", + "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d390d81b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/declan/current/bliss'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.environ[\"BLISS_HOME\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "1e9e36fa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/declan/current/bliss/case_studies/redshift_estimation/notebooks'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.getcwd()" + ] + }, + { + "cell_type": "markdown", + "id": "38209210", + "metadata": {}, + "source": [ + "This cell below initializes `cfg` to contain the config file I want. I also load a weight_save_path. If I were calling `bliss mode=predict` from the command line, I would need to supply this path, so I do it for example. \n", + "\n", + "\n", + "Here, I didn't override any defaults so I actually have `mode=train` by default. I manually load the weights for illustration purposes." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "449342fe", + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=\"../\", version_base=None):\n", + " cfg = compose(\"redshift\", {\n", + " \"predict.weight_save_path=/home/declan/current/bliss/redshift_output/version_4/checkpoints/best_encoder.ckpt\"\n", + " })" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "c0c9b695", + "metadata": {}, + "outputs": [], + "source": [ + "predict_cfg = cfg.predict" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "618db507", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GPU available: True (cuda), used: True\n", + "TPU available: False, using: 0 TPU cores\n", + "IPU available: False, using: 0 IPUs\n", + "HPU available: False, using: 0 HPUs\n" + ] + } + ], + "source": [ + "encoder = instantiate(predict_cfg.encoder)\n", + "enc_state_dict = torch.load(predict_cfg.weight_save_path)\n", + "if predict_cfg.weight_save_path.endswith(\".ckpt\"):\n", + " enc_state_dict = enc_state_dict[\"state_dict\"]\n", + "encoder.load_state_dict(enc_state_dict)\n", + "dataset = instantiate(predict_cfg.dataset)\n", + "trainer = instantiate(predict_cfg.trainer)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "bac88239", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [4]\n", + "2024-03-18 12:50:44.871401: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2024-03-18 12:50:44.871453: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2024-03-18 12:50:44.873666: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "2024-03-18 12:50:44.883674: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2024-03-18 12:50:45.849374: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "945ba0cda51142c7907a71ab45a26464", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Predicting: 0it [00:00, ?it/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "results = trainer.predict(encoder, datamodule=dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a61e735f", + "metadata": {}, + "outputs": [], + "source": [ + "results[0]['mode_cat'].to_dict()['redshifts']" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/notebooks/tutorials/5-VarDists.ipynb b/case_studies/redshift_estimation/notebooks/tutorials/5-VarDists.ipynb new file mode 100644 index 000000000..de4c7a025 --- /dev/null +++ b/case_studies/redshift_estimation/notebooks/tutorials/5-VarDists.ipynb @@ -0,0 +1,1166 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "5270d44e", + "metadata": {}, + "source": [ + "# Working with Variational Distributions" + ] + }, + { + "cell_type": "markdown", + "id": "a7410ad2", + "metadata": {}, + "source": [ + "We'll illustrate how to use the `VariationalDist` and `VariationalDistSpec` objects in tandem with the `Encoder` to perform sampling and compute the NLL. Let's load and simulate some data according to the `base_config`." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "1117d3c5", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "os.chdir('/home/declan/current/bliss')\n", + "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", + "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", + "import torch\n", + "import numpy as np\n", + "from os import environ\n", + "from pathlib import Path\n", + "from hydra import initialize, compose\n", + "from hydra.utils import instantiate\n", + "import matplotlib.pyplot as plt\n", + "from omegaconf import DictConfig, OmegaConf\n", + "from bliss.catalog import TileCatalog\n", + "\n", + "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", + "with initialize(config_path=\"../../bliss/conf\", version_base=None):\n", + " cfg = compose(\"base_config\", overrides={\"surveys.sdss.load_image_data=true\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "bf56d51c", + "metadata": {}, + "outputs": [], + "source": [ + "simulator = instantiate(cfg.simulator)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "bfab1c97", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bliss.simulator.simulated_dataset.SimulatedDataset" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(simulator)" + ] + }, + { + "cell_type": "markdown", + "id": "80ac56e6", + "metadata": {}, + "source": [ + "#### This cell below will take several minutes to run." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "0c862f90", + "metadata": {}, + "outputs": [], + "source": [ + "test_batch = simulator.get_batch()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "66b56e9f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['tile_catalog', 'images', 'background', 'deconvolution', 'psf_params'])" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_batch.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f3fc75dd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes'])" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_batch['tile_catalog'].keys()" + ] + }, + { + "cell_type": "markdown", + "id": "afef37e3", + "metadata": {}, + "source": [ + "Let's instaniate the `Encoder` and run its primary method (for our purposes): the `infer` method that operates on simulated batches of data. More precisely, infer operates on the images of the batch (`test_batch['images']` in our naming so far). First, let's hard-code the so-called `target_cat` aka target catalog to be the ground truth $z$. We need this to construct the variable `truth_callback` below (we won't worry too much about the motivation behind this for now)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "2708b68c", + "metadata": {}, + "outputs": [], + "source": [ + "encoder = instantiate(cfg.train.encoder)\n", + "target_cat = TileCatalog(encoder.tile_slen, test_batch[\"tile_catalog\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2b8df9f3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "TileCatalog(64 x 20 x 20)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "target_cat" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "f2d69254", + "metadata": {}, + "outputs": [], + "source": [ + "# filter out undetectable sources\n", + "if encoder.min_flux_threshold > 0:\n", + " target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + " \n", + "# make predictions/inferences\n", + "target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)\n", + "truth_callback = lambda _: target_cat1\n", + "pred = encoder.infer(test_batch, truth_callback)" + ] + }, + { + "cell_type": "markdown", + "id": "324e2467", + "metadata": {}, + "source": [ + "Let's examine the outputs of the `infer` method." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "97c1b954", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['x_features', 'marginal', 'history_cat', 'white_history_mask', 'white', 'black'])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "c13a2459", + "metadata": {}, + "source": [ + "We'll be most concerned with the dict entry `marginal`. As the name suggests, this will contain all information necessary for constructing the marginal variational distributions. In general, if a variational family is mean-field, it factorizes as the product of the marginals\n", + "\n", + "$$\n", + "q(z_1, z_2 \\mid x) = q(z_1 \\mid x) q(z_2 \\mid x)\n", + "$$\n", + "\n", + "hence the naming. For each latent variable of interest, we just need to know the marginal variational distribution on it when using this particular form of mean-field variational family. BLISS uses this type of variational family for the most part, although there are some subtleties whereby adjacent tiles do interact with one another. Let's focus on the pure mean-field case for now. If we have a distribution on each latent variable of interest, we can compute\n", + "\n", + "$$\n", + "\\log q(z_1, \\dots, z_K \\mid x) = \\sum_{i=1}^K \\log q(z_i \\mid x)\n", + "$$\n", + "\n", + "by log properties. We shall see that this is essentially how the `VariationalDist` objects compute the NLL." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "8b7f152c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bliss.encoder.variational_dist.VariationalDist" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(pred['marginal'])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ce1c8311", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'on_prob': Categorical(probs: torch.Size([64, 20, 20, 2])),\n", + " 'loc': TruncatedDiagonalMVN(Normal(loc: torch.Size([64, 20, 20, 2]), scale: torch.Size([64, 20, 20, 2]))),\n", + " 'galaxy_prob': Categorical(probs: torch.Size([64, 20, 20, 2])),\n", + " 'galsim_disk_frac': TransformedDistribution(),\n", + " 'galsim_beta_radians': TransformedDistribution(),\n", + " 'galsim_disk_q': TransformedDistribution(),\n", + " 'galsim_a_d': LogNormal(),\n", + " 'galsim_bulge_q': TransformedDistribution(),\n", + " 'galsim_a_b': LogNormal(),\n", + " 'star_flux_u': LogNormal(),\n", + " 'star_flux_g': LogNormal(),\n", + " 'star_flux_r': LogNormal(),\n", + " 'star_flux_i': LogNormal(),\n", + " 'star_flux_z': LogNormal(),\n", + " 'galaxy_flux_u': LogNormal(),\n", + " 'galaxy_flux_g': LogNormal(),\n", + " 'galaxy_flux_r': LogNormal(),\n", + " 'galaxy_flux_i': LogNormal(),\n", + " 'galaxy_flux_z': LogNormal()}" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred['marginal'].factors" + ] + }, + { + "cell_type": "markdown", + "id": "67c1aaae", + "metadata": {}, + "source": [ + "We see that `pred['marginal']` returns an object of type `VariationalDist`. This variational distribution is conditional on the $x$ defined by our particular simulated batch.\n", + "\n", + "The `factors` attribute contains each of the marginal factors. Some of the shapes are revealing. Clearly 64 x 20 x 20 corresponds to the number of images in a simulated batch and the tiles corresponding to the `base_config` we've used. These can be altered if desired." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "d60bcdaf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(64, 20, 20)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.prior.batch_size, cfg.prior.n_tiles_h, cfg.prior.n_tiles_w" + ] + }, + { + "cell_type": "markdown", + "id": "70e7a24b", + "metadata": {}, + "source": [ + "This informs some of the dimensions we see above. For example, `loc` should 2D ***per-source***, an (x,y) coordinate pair. Hence the 2 in the last dimension for `loc`. Evidently, many of these distributions are per-source.\n", + "\n", + "Recall that BLISS's variational distribution currently allows for at most 2 sources per tile. This does not seem to be accounted for in the above. The way BLISS works in reality is to first detect the brightest source in each tile; then, having accounted for this, try to find a second source. In this `base_config` we don't do this actually: the prior is constrained to have at most 1 source per-tile so it's not necessary. If one wanted to detect multiple sources per-tile, one could change by overwriting as below. To detect multiple sources, one needs to implement this two-stage process. This can be done by setting the configurable `encoder.double_detect` to be `True` (and potentially some other configurables).\n", + "\n", + "For now, we won't worry about this and will be satisfied with generating and detecting at most 1 source per tile." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "1109f920", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "False\n" + ] + } + ], + "source": [ + "print(cfg.prior.max_sources) # Should be =1\n", + "print(cfg.encoder.double_detect) #Should be False" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "50787a88", + "metadata": {}, + "outputs": [], + "source": [ + "# Would change these configurables to detect multiple sources via a two-layer detection stage in encoder.\n", + "# cfg.prior.max_sources = 2\n", + "# cfg.encoder.double_detect = True" + ] + }, + { + "cell_type": "markdown", + "id": "f79b8092", + "metadata": {}, + "source": [ + "How does the `infer` method of `Encoder` produce a `VariationalDist` object? Through the `VariationalDistSpec` class. This \"variational distribution specificiation\" contains the information needed to construct the variational distribution. Here's a look at the class below. The most important attribute is `factor_specs` which specifies the factors for each latent variable of interest." + ] + }, + { + "cell_type": "markdown", + "id": "51efb1f7", + "metadata": {}, + "source": [ + "```\n", + "class VariationalDistSpec(torch.nn.Module):\n", + " def __init__(self, survey_bands, tile_slen):\n", + " super().__init__()\n", + "\n", + " self.survey_bands = survey_bands\n", + " self.tile_slen = tile_slen\n", + "\n", + " self.factor_specs = {\n", + " \"on_prob\": UnconstrainedBernoulli(),\n", + " \"loc\": UnconstrainedTDBN(),\n", + " \"galaxy_prob\": UnconstrainedBernoulli(),\n", + " # galsim parameters\n", + " \"galsim_disk_frac\": UnconstrainedLogitNormal(),\n", + " \"galsim_beta_radians\": UnconstrainedLogitNormal(high=torch.pi),\n", + " \"galsim_disk_q\": UnconstrainedLogitNormal(),\n", + " \"galsim_a_d\": UnconstrainedLogNormal(),\n", + " \"galsim_bulge_q\": UnconstrainedLogitNormal(),\n", + " \"galsim_a_b\": UnconstrainedLogNormal(),\n", + " }\n", + "...\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "f5558192", + "metadata": {}, + "source": [ + "The `Encoder` is instantiated with a `VariationalDistSpec` attribute. The `infer` method then uses the `make_dist` method of `VariationalDistSpec` to create the `VariationalDist` object." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "0ed8c720", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "VariationalDistSpec()" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "encoder.vd_spec" + ] + }, + { + "cell_type": "markdown", + "id": "334dcf7a", + "metadata": {}, + "source": [ + "We will present just a little more detail on how `Encoder` produces the final variational distribution. Look inside `Encoder.infer` for more detail. \n", + "\n", + "For any given batch, the images are first normalized, then passed through a feature net. " + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "0909c1f1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 256, 20, 20])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "normalized_images = encoder.image_normalizer.get_input_tensor(test_batch)\n", + "x_features = encoder.features_net(normalized_images)\n", + "x_features.shape" + ] + }, + { + "cell_type": "markdown", + "id": "99589189", + "metadata": {}, + "source": [ + "It appears that each tile is represented by a vector of length 256. This tensor is then passed to `marginal_net` which produces all necessary variational parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "05b21e8a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 20, 20, 38])" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x_cat = encoder.marginal_net(x_features)\n", + "x_cat.shape" + ] + }, + { + "cell_type": "markdown", + "id": "a52ba50e", + "metadata": {}, + "source": [ + "The shape of `x_cat` is revealing. It tells us that per-tile, we have 38 variational parameters. Let's recover this number 38 from the variational distribution specification to check that everything matches." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "f5bf6aa2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "38" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(dist.dim for _,dist in encoder.vd_spec.factor_specs.items() )" + ] + }, + { + "cell_type": "markdown", + "id": "eb9039a9", + "metadata": {}, + "source": [ + "So this magical number 38 just matches the dimensions totaled by all the variational distributions. If we added more variational distributions, this number would have to change obviously (it would increase, to 40, 45, etc.\n", + "\n", + "Let's show how `VariationalDist` is created from `x_cat`. As said above, this is done using the `make_dist` method of `VariationalDistSpec`." + ] + }, + { + "cell_type": "markdown", + "id": "015adafe", + "metadata": {}, + "source": [ + "```\n", + "def make_dist(self, x_cat):\n", + " factors = self._parse_factors(x_cat)\n", + " return VariationalDist(factors, self.survey_bands, self.tile_slen)\n", + "\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "271f3a82", + "metadata": {}, + "outputs": [], + "source": [ + "vd = encoder.vd_spec.make_dist(x_cat)" + ] + }, + { + "cell_type": "markdown", + "id": "27ac3cf0", + "metadata": {}, + "source": [ + "Once one has the `VariationalDist` object created, one can compute NLL and sample using the functions quite easily." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "2619df65", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 20, 20])" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vd.compute_nll(target_cat1).shape" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "3fdbb429", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "TileCatalog(64 x 20 x 20)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vd.sample(use_mode=True)" + ] + }, + { + "cell_type": "markdown", + "id": "c2029b2d", + "metadata": {}, + "source": [ + "# Redshift-Focused Variational Distributions" + ] + }, + { + "cell_type": "markdown", + "id": "5efa5ca5", + "metadata": {}, + "source": [ + "I've extended the `VariationalDistSpec` and `VariationalDist` classes to `RedshiftVariationalDistSpec` and `RedshiftVariationalDist`. The main differences between these is that they add a new variational distribution on redshift to the list of parameters above. The config `redshift.yaml` extends the `base_config.yaml` so similarly both generates and detects at most one source per tile. We can make it more complicated later." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "ea53e030", + "metadata": {}, + "outputs": [], + "source": [ + "from catalog import RedshiftTileCatalog\n", + "from variational_dist import RedshiftVariationalDistSpec, RedshiftVariationalDist\n", + "\n", + "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", + "with initialize(config_path=\".\", version_base=None):\n", + " cfg = compose(\"redshift\", overrides={\"surveys.sdss.load_image_data=true\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "7eb385b5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simulator = instantiate(cfg.simulator)\n", + "test_batch = simulator.get_batch()\n", + "test_batch['tile_catalog'].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "ee2fb778", + "metadata": {}, + "outputs": [], + "source": [ + "encoder = instantiate(cfg.train.encoder)\n", + "target_cat = RedshiftTileCatalog(encoder.tile_slen, test_batch[\"tile_catalog\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "2ef9ad66", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bliss.encoder.encoder.Encoder" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(encoder)" + ] + }, + { + "cell_type": "markdown", + "id": "671239cc", + "metadata": {}, + "source": [ + "We do not need to modify/extend the Encoder class at this point in time." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "67ca6748", + "metadata": {}, + "outputs": [], + "source": [ + "# filter out undetectable sources\n", + "if encoder.min_flux_threshold > 0:\n", + " target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + " \n", + "# get brightest sources\n", + "target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)" + ] + }, + { + "cell_type": "markdown", + "id": "f6b9d1b8", + "metadata": {}, + "source": [ + "Let's make an example `RedshiftVariationalDistSpec` object to illustrate the new `factor_spec` on redshift." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "83c10da2", + "metadata": {}, + "outputs": [], + "source": [ + "rvds = RedshiftVariationalDistSpec(cfg.prior.survey_bands, cfg.prior.tile_slen)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "044da9dd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('on_prob',\n", + " ),\n", + " ('loc',\n", + " ),\n", + " ('galaxy_prob',\n", + " ),\n", + " ('galsim_disk_frac',\n", + " ),\n", + " ('galsim_beta_radians',\n", + " ),\n", + " ('galsim_disk_q',\n", + " ),\n", + " ('galsim_a_d',\n", + " ),\n", + " ('galsim_bulge_q',\n", + " ),\n", + " ('galsim_a_b',\n", + " ),\n", + " ('star_flux_u',\n", + " ),\n", + " ('star_flux_g',\n", + " ),\n", + " ('star_flux_r',\n", + " ),\n", + " ('star_flux_i',\n", + " ),\n", + " ('star_flux_z',\n", + " ),\n", + " ('galaxy_flux_u',\n", + " ),\n", + " ('galaxy_flux_g',\n", + " ),\n", + " ('galaxy_flux_r',\n", + " ),\n", + " ('galaxy_flux_i',\n", + " ),\n", + " ('galaxy_flux_z',\n", + " ),\n", + " ('redshift',\n", + " )]" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(rvds.factor_specs.items())" + ] + }, + { + "cell_type": "markdown", + "id": "3286f20b", + "metadata": {}, + "source": [ + "We see that `rvds.factor_specs` contains a new variational distribution unique for this project, a distribution redshift. It's a Gaussian distribution for now, but be made to be anything one desires." + ] + }, + { + "cell_type": "markdown", + "id": "f0ca6491", + "metadata": {}, + "source": [ + "The `Encoder` object should have a `RedshiftVariationalDistSpec` as its `vd_spec` attribute now. This was done by changing the appropriate `_target_` in the config." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "495c316b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "RedshiftVariationalDistSpec()" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "encoder.vd_spec" + ] + }, + { + "cell_type": "markdown", + "id": "29876a4e", + "metadata": {}, + "source": [ + "Using the output of `Encoder.infer` thus get an instance of `RedshiftVariationalDist` that we can use to compute the NLL and sample, etc." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "225fbc41", + "metadata": {}, + "outputs": [], + "source": [ + "truth_callback = lambda _: target_cat1\n", + "pred = encoder.infer(test_batch, truth_callback)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "7fb5d8d9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "RedshiftVariationalDist()" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred['marginal']" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "0c1aacdd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "40" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(dist.dim for _,dist in encoder.vd_spec.factor_specs.items() )" + ] + }, + { + "cell_type": "markdown", + "id": "e1e995c8", + "metadata": {}, + "source": [ + "There are now 40 variational parameters per source, up from 38 before. We added two: a location and scale parameter for the Gaussian distribution that describes redshift." + ] + }, + { + "cell_type": "markdown", + "id": "78e6fcd1", + "metadata": {}, + "source": [ + "Let's compute NLL and sample to make sure everything works." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "d19fda56", + "metadata": {}, + "outputs": [], + "source": [ + "rvd = pred['marginal']" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "8511d85b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "RedshiftTileCatalog(64 x 20 x 20)" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rvd.sample(use_mode=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "05454135", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([64, 20, 20])" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rvd.compute_nll(target_cat1).shape" + ] + }, + { + "cell_type": "markdown", + "id": "0522acc0", + "metadata": {}, + "source": [ + "### Example Training Loop" + ] + }, + { + "cell_type": "markdown", + "id": "331c1ebc", + "metadata": {}, + "source": [ + "***This cell runs pretty slowly. All on CPU for illustration.***" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "ac582a2f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iteration 0: Loss 31.29745101928711\n", + "Iteration 10: Loss 5.976312160491943\n", + "Iteration 20: Loss 5.461785316467285\n", + "Iteration 30: Loss 4.9790143966674805\n", + "Iteration 40: Loss 4.622425079345703\n", + "Iteration 50: Loss 4.379827976226807\n", + "Iteration 60: Loss 4.2173662185668945\n", + "Iteration 70: Loss 4.101867198944092\n", + "Iteration 80: Loss 4.002026557922363\n", + "Iteration 90: Loss 3.91727352142334\n", + "Iteration 100: Loss 3.8605949878692627\n", + "Iteration 110: Loss 3.7549383640289307\n", + "Iteration 120: Loss 3.747856855392456\n", + "Iteration 130: Loss 3.656813383102417\n", + "Iteration 140: Loss 3.6292967796325684\n", + "Iteration 150: Loss 3.5320780277252197\n", + "Iteration 160: Loss 3.470863103866577\n", + "Iteration 170: Loss 3.44598388671875\n", + "Iteration 180: Loss 3.3535513877868652\n", + "Iteration 190: Loss 3.4474265575408936\n", + "Iteration 200: Loss 3.3439383506774902\n", + "Iteration 210: Loss 3.2493293285369873\n", + "Iteration 220: Loss 3.5173134803771973\n", + "Iteration 230: Loss 3.2241787910461426\n", + "Iteration 240: Loss 3.138590097427368\n", + "Iteration 250: Loss 3.0926873683929443\n", + "Iteration 260: Loss 3.7236886024475098\n", + "Iteration 270: Loss 3.541830062866211\n", + "Iteration 280: Loss 3.4552664756774902\n", + "Iteration 290: Loss 3.385012626647949\n" + ] + } + ], + "source": [ + "niter = 300\n", + "optimizer = torch.optim.Adam(encoder.parameters(), lr=1e-3)\n", + "for i in range(niter):\n", + " # Many of the lines below are redundant because we have a single batch\n", + " # so quantities don't change.\n", + " \n", + " target_cat = RedshiftTileCatalog(encoder.tile_slen, test_batch[\"tile_catalog\"])\n", + " # filter out undetectable sources\n", + " if encoder.min_flux_threshold > 0:\n", + " target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", + "\n", + " # make predictions/inferences\n", + " target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)\n", + " truth_callback = lambda _: target_cat1\n", + " pred = encoder.infer(test_batch, truth_callback)\n", + " rvd = pred['marginal']\n", + " \n", + " # Main gradient step code\n", + " optimizer.zero_grad()\n", + " loss = rvd.compute_nll(target_cat1).mean()\n", + " loss.backward()\n", + " optimizer.step()\n", + " \n", + " if i % 10 == 0:\n", + " print('Iteration {}: Loss {}'.format(i, loss.item()))\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "383a5035", + "metadata": {}, + "source": [ + "Let's check how we're doing on the redshift variational distributions. Recall the prior on redshift is extremely concentrated as this is a toy case for now." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "4181d357", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.99, 1.01)" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.prior.redshift_min, cfg.prior.redshift_max" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "0e638457", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([0.9924, 0.9927, 0.9909, ..., 0.9837, 0.9853, 0.9877],\n", + " grad_fn=)" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q = rvd.factors\n", + "q[\"redshift\"].loc.flatten()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "06250349", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([0.0416, 0.0426, 0.0425, ..., 0.0421, 0.0418, 0.0419],\n", + " grad_fn=)" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q[\"redshift\"].scale.flatten()" + ] + }, + { + "cell_type": "markdown", + "id": "1222cc63", + "metadata": {}, + "source": [ + "The locations are looking pretty good; the scales are still way too big, but at least the variational distributions are overdispersed. The variational distribution is misspecified: the prior is $\\textrm{Unif}(0.99, 1.01)$, and we have not modified the decoder $p(x \\mid z)$ at all. In other words, redshift has no impact on the data right now. Accordingly, the posterior should be equal to the prior.\n", + "\n", + "Of course we don't achieve that, because the variational distribution is constained to be Gaussian. We'd hope with more trainin we could get even more highly concentrated Gaussians approximately in the interval $[0.99,1.01]$ but the above suffices for now as a sanity check." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/case_studies/redshift_estimation/prior.py b/case_studies/redshift_estimation/prior.py new file mode 100644 index 000000000..8eb8479b8 --- /dev/null +++ b/case_studies/redshift_estimation/prior.py @@ -0,0 +1,389 @@ +import numpy as np +import pandas as pd +import torch +from torch.distributions import Gamma, Uniform + +from bliss.simulator.prior import CatalogPrior +from case_studies.redshift_estimation.catalog import RedshiftTileCatalog + + +class RedshiftUniformPrior(CatalogPrior): + """Prior distribution of objects in an astronomical image. + + Inherits from CatalogPrior, adding redshift. Temporarily, + redshift is drawn from a tight uniform distribution Unif(0.99,1.01) + for validation. + """ + + def __init__( + self, + *args, + redshift_min: float = 0.0, + redshift_max: float = 1.0, + **kwargs, + ): + """Initializes CatalogPrior.""" + super().__init__(*args, **kwargs) + self.redshift_min = redshift_min + self.redshift_max = redshift_max + + def _sample_redshifts(self): + latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) + return Uniform(self.redshift_min, self.redshift_max).sample(latent_dims) + + def sample(self) -> RedshiftTileCatalog: + """Overrides this method from CatalogPrior to include redshift samples from prior. + + Returns: + A dictionary of tensors. Each tensor is a particular per-tile quantity; i.e. + the first three dimensions of each tensor are + `(batch_size, self.n_tiles_h, self.n_tiles_w)`. + The remaining dimensions are variable-specific. + """ + locs = self._sample_locs() + galaxy_fluxes, galaxy_params = self._sample_galaxy_prior() + star_fluxes = self._sample_star_fluxes() + + n_sources = self._sample_n_sources() + source_type = self._sample_source_type() + redshifts = self._sample_redshifts() + + catalog_params = { + "n_sources": n_sources, + "source_type": source_type, + "locs": locs, + "galaxy_fluxes": galaxy_fluxes, + "galaxy_params": galaxy_params, + "star_fluxes": star_fluxes, + "redshifts": redshifts, + } + + return RedshiftTileCatalog(self.tile_slen, catalog_params) + + +class RedshiftGammaPrior(CatalogPrior): + """Prior distribution of objects in an astronomical image. + + Inherits from CatalogPrior, adding redshift. Temporarily, + redshift is drawn from a tight uniform distribution Unif(0.99,1.01) + for validation. + """ + + def __init__( + self, + *args, + redshift_alpha: float = 0.0, + redshift_beta: float = 1.0, + **kwargs, + ): + """Initializes CatalogPrior.""" + super().__init__(*args, **kwargs) + self.redshift_alpha = redshift_alpha + self.redshift_beta = redshift_beta + + def _sample_redshifts(self): + latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) + return Gamma(self.redshift_alpha, self.redshift_beta).sample(latent_dims) + + def sample(self) -> RedshiftTileCatalog: + """Overrides this method from CatalogPrior to include redshift samples from prior. + + Returns: + A dictionary of tensors. Each tensor is a particular per-tile quantity; i.e. + the first three dimensions of each tensor are + `(batch_size, self.n_tiles_h, self.n_tiles_w)`. + The remaining dimensions are variable-specific. + """ + locs = self._sample_locs() + galaxy_fluxes, galaxy_params = self._sample_galaxy_prior() + star_fluxes = self._sample_star_fluxes() + + n_sources = self._sample_n_sources() + source_type = self._sample_source_type() + redshifts = self._sample_redshifts() + + catalog_params = { + "n_sources": n_sources, + "source_type": source_type, + "locs": locs, + "galaxy_fluxes": galaxy_fluxes, + "galaxy_params": galaxy_params, + "star_fluxes": star_fluxes, + "redshifts": redshifts, + } + + return RedshiftTileCatalog(self.tile_slen, catalog_params) + + +class RedshiftCSVPrior(CatalogPrior): + """Prior distribution of objects in an astronomical image. + + Inherits from CatalogPrior, adding redshift. Load a csvfile for flux and redshift. + """ + + def __init__( + self, + *args, + **kwargs, + ): + """Initializes CatalogPrior.""" + super().__init__(*args, **kwargs) + self.array = ( + pd.read_csv( + "/data/scratch/declan/STAR.csv", + header=0, + dtype={ + "u_band": float, + "g_band": float, + "r_band": float, + "i_band": float, + "z_band": float, + "redshift": float, + }, + ) + .to_numpy()[:, 2:8] + .astype(float) + ) + latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) + self.__sample = np.random.choice(range(len(self.array)), size=latent_dims, replace=True) + + def _sample_redshifts(self): + return torch.from_numpy(np.take(self.array[:, -1], self.__sample)) + + # Override the source_type to be a star + def _sample_source_type(self): + latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) + return torch.zeros(*latent_dims) + + # Overirde the star fluxes to sample from the real data + def _sample_star_fluxes(self): + total_flux = np.concatenate( + ( + np.take(self.array[:, 0], self.__sample), + np.take(self.array[:, 1], self.__sample), + np.take(self.array[:, 2], self.__sample), + np.take(self.array[:, 3], self.__sample), + np.take(self.array[:, 4], self.__sample), + ), + axis=-1, + ) + + # select specified bands + # bands = np.array(range(self.n_bands)) + # return total_flux[..., bands] + return torch.from_numpy(total_flux) + + def sample(self) -> RedshiftTileCatalog: + """Overrides this method from CatalogPrior to include redshift samples from prior. + + Returns: + A dictionary of tensors. Each tensor is a particular per-tile quantity; i.e. + the first three dimensions of each tensor are + `(batch_size, self.n_tiles_h, self.n_tiles_w)`. + The remaining dimensions are variable-specific. + """ + locs = self._sample_locs() + # Assume all sources are stars for now, cant comment this because their values are needed elsewhere even we are not using them + galaxy_fluxes, galaxy_params = self._sample_galaxy_prior() + star_fluxes = self._sample_star_fluxes() + + n_sources = self._sample_n_sources() + source_type = self._sample_source_type() + redshifts = self._sample_redshifts() + + catalog_params = { + "n_sources": n_sources, + "source_type": source_type, + "locs": locs, + "galaxy_fluxes": galaxy_fluxes, + "galaxy_params": galaxy_params, + "star_fluxes": star_fluxes, + "redshifts": redshifts, + } + + return RedshiftTileCatalog(self.tile_slen, catalog_params) + + +class RedshiftCSVPriorSDSS(CatalogPrior): + """Prior distribution of objects in an astronomical image. + + Inherits from CatalogPrior, adding redshift. Load a csvfile for flux and redshift. + """ + + def __init__( + self, + *args, + **kwargs, + ): + """Initializes CatalogPrior.""" + super().__init__(*args, **kwargs) + self.array = ( + pd.read_csv( + "/data/scratch/declan/GALAXY.csv", + header=0, + dtype={ + "u_band": float, + "g_band": float, + "r_band": float, + "i_band": float, + "z_band": float, + "redshift": float, + }, + ) + .to_numpy()[:, 2:8] + .astype(float) + ) + self.latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) + + def _sample_indices(self): + return np.random.choice(range(len(self.array)), size=self.latent_dims, replace=True) + + def _sample_redshifts(self, indices): + return torch.from_numpy(np.take(self.array[:, -1], indices)) + + # Override the source_type to be a star + def _sample_source_type(self): + latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) + return torch.ones(*latent_dims) + + # Overirde the star fluxes to sample from the real data + def _sample_galaxy_fluxes(self, indices): + galaxy_fluxes, galaxy_params = super()._sample_galaxy_prior() + total_flux = np.concatenate( + ( + np.take(self.array[:, 0], indices), + np.take(self.array[:, 1], indices), + np.take(self.array[:, 2], indices), + np.take(self.array[:, 3], indices), + np.take(self.array[:, 4], indices), + ), + axis=-1, + ) + + return torch.from_numpy(total_flux), galaxy_params + + def sample(self) -> RedshiftTileCatalog: + """Overrides this method from CatalogPrior to include redshift samples from prior. + + Returns: + A dictionary of tensors. Each tensor is a particular per-tile quantity; i.e. + the first three dimensions of each tensor are + `(batch_size, self.n_tiles_h, self.n_tiles_w)`. + The remaining dimensions are variable-specific. + """ + locs = self._sample_locs() + # Assume all sources are stars for now, cant comment this because their values are needed elsewhere even we are not using them + indices = self._sample_indices() + + galaxy_fluxes, galaxy_params = self._sample_galaxy_fluxes(indices) + star_fluxes = self._sample_star_fluxes() + + n_sources = self._sample_n_sources() + source_type = self._sample_source_type() + redshifts = self._sample_redshifts(indices) + + catalog_params = { + "n_sources": n_sources, + "source_type": source_type, + "locs": locs, + "galaxy_fluxes": galaxy_fluxes, + "galaxy_params": galaxy_params, + "star_fluxes": star_fluxes, + "redshifts": redshifts, + } + + return RedshiftTileCatalog(self.tile_slen, catalog_params) + + +class RedshiftCSVPriorDC2(CatalogPrior): + """Prior distribution of objects in an astronomical image. + + Inherits from CatalogPrior, adding redshift. Load a csvfile for flux and redshift. + """ + + def __init__( + self, + *args, + **kwargs, + ): + """Initializes CatalogPrior.""" + super().__init__(*args, **kwargs) + self.array = ( + pd.read_csv( + "/data/scratch/declan/dc2_truth_galaxies_mini_clean.csv", + header=0, + dtype={ + "mag_u": float, + "mag_g": float, + "mag_r": float, + "mag_i": float, + "mag_z": float, + "redshift": float, + }, + ) + .to_numpy()[:, 1:] + .astype(float) + ) + self.latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) + + def _sample_indices(self): + return np.random.choice(range(len(self.array)), size=self.latent_dims, replace=True) + + def _sample_redshifts(self, indices): + return torch.from_numpy(np.take(self.array[:, -1], indices)) + + # Override the source_type to be a star + def _sample_source_type(self): + latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) + return torch.ones(*latent_dims) + + # Overirde the star fluxes to sample from the real data + def _sample_galaxy_fluxes(self, indices): + galaxy_fluxes, galaxy_params = super()._sample_galaxy_prior() + total_flux = np.concatenate( + ( + np.take(self.array[:, 0], indices), + np.take(self.array[:, 1], indices), + np.take(self.array[:, 2], indices), + np.take(self.array[:, 3], indices), + np.take(self.array[:, 4], indices), + ), + axis=-1, + ) + + # select specified bands + # bands = np.array(range(self.n_bands)) + # return total_flux[..., bands] + return torch.from_numpy(total_flux), galaxy_params + + def sample(self) -> RedshiftTileCatalog: + """Overrides this method from CatalogPrior to include redshift samples from prior. + + Returns: + A dictionary of tensors. Each tensor is a particular per-tile quantity; i.e. + the first three dimensions of each tensor are + `(batch_size, self.n_tiles_h, self.n_tiles_w)`. + The remaining dimensions are variable-specific. + """ + locs = self._sample_locs() + # Assume all sources are stars for now, cant comment this because their values are needed elsewhere even we are not using them + indices = self._sample_indices() + + galaxy_fluxes, galaxy_params = self._sample_galaxy_fluxes(indices) + star_fluxes = self._sample_star_fluxes() + + n_sources = self._sample_n_sources() + source_type = self._sample_source_type() + redshifts = self._sample_redshifts(indices) + + catalog_params = { + "n_sources": n_sources, + "source_type": source_type, + "locs": locs, + "galaxy_fluxes": galaxy_fluxes, + "galaxy_params": galaxy_params, + "star_fluxes": star_fluxes, + "redshifts": redshifts, + } + + return RedshiftTileCatalog(self.tile_slen, catalog_params) diff --git a/case_studies/redshift_estimation/redshift.yaml b/case_studies/redshift_estimation/redshift.yaml new file mode 100644 index 000000000..e0491e192 --- /dev/null +++ b/case_studies/redshift_estimation/redshift.yaml @@ -0,0 +1,78 @@ +--- +defaults: + - ../../bliss/conf@_here_: base_config + - _self_ + - override hydra/job_logging: stdout + +paths: + root: ${oc.env:BLISS_HOME} + data: ${paths.root}/data + sdss: ${paths.data}/sdss + output: ${paths.root}/redshift_output + +train: + trainer: + callbacks: + - _target_: pytorch_lightning.callbacks.ModelCheckpoint + filename: best_encoder + save_top_k: 1 + verbose: True + monitor: val/_loss + mode: min + save_on_train_epoch_end: False + auto_insert_metric_name: False + - _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping + monitor: val/_loss + mode: min + patience: 50 + + max_epochs: 100 + +prior: + _target_: case_studies.redshift_estimation.prior.RedshiftCSVPriorSDSS + +simulator: + _target_: case_studies.redshift_estimation.simulated_dataset.RedshiftSimulatedDataset + +encoder: + vd_spec: + _target_: case_studies.redshift_estimation.variational_dist.RedshiftVariationalDistSpec + double_detect: false + use_checkerboard: false + optimizer_params: + lr: 1e-4 + metrics: + _target_: torchmetrics.MetricCollection + metrics: + - _target_: bliss.encoder.metrics.DetectionPerformance + mag_bin_cutoffs: [19, 19.4, 19.8, 20.2, 20.6, 21, 21.4, 21.8] + - _target_: bliss.encoder.metrics.SourceTypeAccuracy + - _target_: bliss.encoder.metrics.FluxError + survey_bands: ${encoder.survey_bands} + - _target_: bliss.encoder.metrics.GalaxyShapeError + - _target_: case_studies.redshift_estimation.metrics.RedshiftMeanSquaredError + marginal_metrics: + _target_: torchmetrics.MetricCollection + metrics: + - _target_: case_studies.redshift_estimation.metrics.RedshiftNLL + +generate: + n_image_files: 16 + n_batches_per_file: 16 + cached_data_path: /data/scratch/declan/sdss_like_galaxies + +cached_simulator: + _target_: case_studies.redshift_estimation.simulated_dataset.RedshiftCachedSimulatedDataset + cached_data_path: /data/scratch/declan/sdss_like_galaxies + batch_size: 32 + +cached_test_data: + _target_: case_studies.redshift_estimation.simulated_dataset.RedshiftCachedSimulatedDataset + batch_size: 32 + splits: 0:80/80:90/90:100 # train/val/test splits as percent ranges + num_workers: 0 + file_prefix: ${generate.file_prefix} + cached_data_path: /data/scratch/declan/redshift_estimation_test + +predict: + dataset: ${cached_test_data} diff --git a/case_studies/redshift_estimation/simulated_dataset.py b/case_studies/redshift_estimation/simulated_dataset.py new file mode 100644 index 000000000..1765776d1 --- /dev/null +++ b/case_studies/redshift_estimation/simulated_dataset.py @@ -0,0 +1,247 @@ +import warnings +from typing import Any, Dict, List, Optional, Tuple, TypedDict + +import numpy as np +import pytorch_lightning as pl +import torch +from skimage.restoration import richardson_lucy +from torch import Tensor +from torch.utils.data import DataLoader, IterableDataset +from tqdm import tqdm + +from bliss.align import align +from bliss.simulator.decoder import ImageDecoder +from bliss.simulator.simulated_dataset import CachedSimulatedDataset +from bliss.surveys.survey import Survey +from case_studies.redshift_estimation.catalog import RedshiftTileCatalog +from case_studies.redshift_estimation.prior import RedshiftUniformPrior + +# prevent pytorch_lightning warning for num_workers = 0 in dataloaders with IterableDataset +warnings.filterwarnings( + "ignore", ".*does not have many workers which may be a bottleneck.*", UserWarning +) + + +class RedshiftSimulatedDataset(pl.LightningDataModule, IterableDataset): + def __init__( + self, + survey: Survey, + prior: RedshiftUniformPrior, + n_batches: int, + use_coaddition: bool = False, + coadd_depth: int = 1, + num_workers: int = 0, + valid_n_batches: Optional[int] = None, + fix_validation_set: bool = False, + ): + super().__init__() + + self.survey = survey + survey.prepare_data() + + self.catalog_prior = prior + self.background = self.survey.background + assert self.catalog_prior is not None, "Survey prior cannot be None." + assert self.background is not None, "Survey background cannot be None." + self.catalog_prior.requires_grad_(False) + self.background.requires_grad_(False) + + assert survey.psf is not None, "Survey psf cannot be None." + assert survey.pixel_shift is not None, "Survey pixel_shift cannot be None." + assert ( + survey.flux_calibration_dict is not None + ), "Survey flux_calibration_dict cannot be None." + self.image_decoder = ImageDecoder( + psf=survey.psf, + bands=survey.BANDS, + pixel_shift=survey.pixel_shift, + flux_calibration_dict=survey.flux_calibration_dict, + ref_band=prior.reference_band, + ) + + self.n_batches = n_batches + self.batch_size = self.catalog_prior.batch_size + self.use_coaddition = use_coaddition + self.coadd_depth = coadd_depth + self.num_workers = num_workers + self.fix_validation_set = fix_validation_set + self.valid_n_batches = n_batches if valid_n_batches is None else valid_n_batches + + self.image_ids = self.survey.image_ids() + + def randomized_image_ids(self, num_samples=1) -> Tuple[List[Any], np.ndarray]: + """Get random image_id from loaded params. + + Args: + num_samples (int, optional): number of random samples to get. Defaults to 1. + + Returns: + Tuple[List[Any], np.ndarray]: tuple of image_ids and their corresponding + `self.image_ids` indices. + """ + n = np.random.randint(len(self.image_ids), size=(num_samples,), dtype=int) + # reorder self.image_ids to match the order of the sampled indices + return [self.image_ids[i] for i in n], n + + def apply_noise(self, images_mean): + images_mean = torch.clamp(images_mean, min=1e-6) + images = torch.sqrt(images_mean) * torch.randn_like(images_mean) + images += images_mean + return images + + def coadd_images(self, images): + batch_size = images.shape[0] + assert self.coadd_depth > 1, "Coadd depth must be > 1 to use coaddition." + coadded_images = np.zeros((batch_size, *images.shape[-3:])) # 4D + for b in range(batch_size): + coadded_images[b] = self.survey.coadd_images(images[b]) + return torch.from_numpy(coadded_images).float() + + def align_images(self, images, wcs_batch): + """Align images to the reference depth and band.""" + batch_size = images.shape[0] + for b in range(batch_size): + aligned_image = align( + images[b].numpy(), + wcs_list=wcs_batch[b], + ref_depth=0, + ref_band=self.catalog_prior.reference_band, + ) + images[b] = torch.from_numpy(aligned_image) + return images + + def simulate_images( + self, tile_catalog: RedshiftTileCatalog, image_ids, image_id_indices + ) -> Tuple[Tensor, Tensor, Tensor, Tensor]: + """Simulate a batch of images. + + Args: + tile_catalog (RedshiftTileCatalog): The RedshiftTileCatalog to render. + image_ids: List of image_ids to render, in `image_id_indices` order. + image_id_indices: Indices in self.image_ids to sample from. + + Returns: + Tuple[Tensor, Tensor, Tensor, Tensor]: tuple of images, backgrounds, deconvolved images, + and psf parameters + """ + images, psfs, psf_params, wcs_batch = self.image_decoder.render_images( + tile_catalog, image_ids, self.coadd_depth + ) + images = self.align_images(images, wcs_batch) + if self.use_coaddition: + images = self.coadd_images(images) + + background = self.background.sample(images.shape, image_id_indices=image_id_indices) + images += background + + images = self.apply_noise(images) + deconv_images = self.get_deconvolved_images(images, background, psfs) + return images, background, deconv_images, psf_params + + def get_deconvolved_images(self, images, backgrounds, psfs) -> Tensor: + """Deconvolve the synthetic images with the psf used to generate them. + + Args: + images (Tensor): batch of images + backgrounds (Tensor): batch of backgrounds + psfs (ndarray): batch of psfs + + Returns: + Tensor: batch of deconvolved images + """ + assert self.catalog_prior is not None, "Survey prior cannot be None." + + deconv_images = np.zeros_like(images) + for i in range(images.shape[0]): + for band in range(self.catalog_prior.n_bands): + deconv_images[i][band] = self.deconvolve_image( + images[i][band], backgrounds[i][band], psfs[i][band] + ) + return torch.from_numpy(deconv_images) + + def deconvolve_image(self, image, background, psf, pad=10): + """Deconvolve a single image. + + Args: + image (Tensor): the image to deconvolve + background (Tensor): background of the image (used for padding) + psf (ndarray): the psf used to generate the image + pad (int): the pad width (in pixels). Defaults to 10. + + Returns: + ndarray: the deconvolved image, same size as the original + """ + padded_image = np.pad(image, pad, mode="constant", constant_values=background.mean().item()) + normalized = padded_image / np.max(padded_image) + deconv = richardson_lucy(normalized, psf.original.image.array) + return deconv[pad:-pad, pad:-pad] + + def get_batch(self) -> Dict: + """Get a batch of simulated images. + + The images are simulated by first generating a tile catalog from the prior, followed + by choosing a random background and PSF and using those to generate the image. By default, + the same row, camcol, and field combination is used for the background, PSF, and flux ratios + of a single simulated image. + + Returns: + Dict: A dictionary of the simulated TileCatalog, (batch_size, bands, height, width) + tensors for images and background, and a (batch_size, 1, 6) tensor for the psf params. + """ + assert self.catalog_prior is not None, "Survey prior cannot be None." + + image_ids, image_id_indices = self.randomized_image_ids(self.catalog_prior.batch_size) + with torch.no_grad(): + tile_catalog = self.catalog_prior.sample() + images, background, deconv, psf_params = self.simulate_images( + tile_catalog, image_ids, image_id_indices + ) + return { + "tile_catalog": tile_catalog.to_dict(), + "images": images, + "background": background, + "deconvolution": deconv, + "psf_params": psf_params, + } + + def __iter__(self): + for _ in range(self.n_batches): + yield self.get_batch() + + def train_dataloader(self): + return DataLoader(self, batch_size=None, num_workers=self.num_workers) + + def val_dataloader(self): + if self.fix_validation_set: + valid: List[Dict[str, Tensor]] = [] + for _ in tqdm(range(self.valid_n_batches), desc="Generating fixed validation set"): + valid.append(self.get_batch()) + num_workers = 0 + else: + valid = self + num_workers = self.num_workers + return DataLoader(valid, batch_size=None, num_workers=num_workers) + + def test_dataloader(self): + return DataLoader(self, batch_size=None, num_workers=self.num_workers) + + def predict_dataloader(self): + return DataLoader(self, batch_size=None, num_workers=self.num_workers) + + +FileDatum = TypedDict( + "FileDatum", + { + "tile_catalog": RedshiftTileCatalog, + "images": torch.Tensor, + "background": torch.Tensor, + "deconvolution": torch.Tensor, + "psf_params": torch.Tensor, + }, +) + + +class RedshiftCachedSimulatedDataset(CachedSimulatedDataset): + def predict_dataloader(self): + assert self.data, "No cached test data found; run `generate.py` first" + return DataLoader(self.data, batch_size=self.batch_size, num_workers=self.num_workers) diff --git a/case_studies/redshift_estimation/variational_dist.py b/case_studies/redshift_estimation/variational_dist.py new file mode 100644 index 000000000..d31bae988 --- /dev/null +++ b/case_studies/redshift_estimation/variational_dist.py @@ -0,0 +1,84 @@ +import torch + +from bliss.catalog import SourceType +from bliss.encoder.unconstrained_dists import UnconstrainedNormal +from bliss.encoder.variational_dist import VariationalDist, VariationalDistSpec +from case_studies.redshift_estimation.catalog import RedshiftTileCatalog + + +class RedshiftVariationalDistSpec(VariationalDistSpec): + def __init__( + self, + *args, + **kwargs, + ): + super().__init__(*args, **kwargs) + self.factor_specs["redshift"] = UnconstrainedNormal() + + def make_dist(self, x_cat): + # override this method to instantiate a subclass of VariationalGrid, e.g., + # one with additional distribution parameter groups + factors = self._parse_factors(x_cat) + return RedshiftVariationalDist(factors, self.survey_bands, self.tile_slen) + + +class RedshiftVariationalDist(VariationalDist): + def sample(self, use_mode=False) -> RedshiftTileCatalog: + """Sample the variational distribution. + + Args: + use_mode: whether to use the mode of the distribution instead of random sampling + + Returns: + RedshiftTileCatalog: Sampled catalog + """ + q = self.factors + + locs = q["loc"].mode if use_mode else q["loc"].sample().squeeze(0) + est_cat = {"locs": locs} + + # populate catalog with per-band (log) star fluxes + sf_factors = [q[f"star_flux_{band}"] for band in self.survey_bands] + sf_lst = [p.mode if use_mode else p.sample() for p in sf_factors] + est_cat["star_fluxes"] = torch.stack(sf_lst, dim=3) + + # populate catalog with source type + galaxy_bools = q["galaxy_prob"].mode if use_mode else q["galaxy_prob"].sample() + galaxy_bools = galaxy_bools.unsqueeze(3) + star_bools = 1 - galaxy_bools + est_cat["source_type"] = SourceType.STAR * star_bools + SourceType.GALAXY * galaxy_bools + + # populate catalog with galaxy parameters + gs_dists = [q[f"galsim_{name}"] for name in self.GALSIM_NAMES] + gs_param_lst = [d.icdf(torch.tensor(0.5)) if use_mode else d.sample() for d in gs_dists] + est_cat["galaxy_params"] = torch.stack(gs_param_lst, dim=3) + + # populate catalog with per-band galaxy fluxes + gf_dists = [q[f"galaxy_flux_{band}"] for band in self.survey_bands] + gf_lst = [d.icdf(torch.tensor(0.5)) if use_mode else d.sample() for d in gf_dists] + est_cat["galaxy_fluxes"] = torch.stack(gf_lst, dim=3) + + # we have to unsqueeze these tensors because a TileCatalog can store multiple + # light sources per tile, but we sample only one source per tile + for k, v in est_cat.items(): + est_cat[k] = v.unsqueeze(3) + + # n_sources is not unsqueezed because it is a single integer per tile regardless of + # how many light sources are stored per tile + est_cat["n_sources"] = q["on_prob"].mode if use_mode else q["on_prob"].sample() + + est_cat["redshifts"] = q["redshift"].mode if use_mode else q["redshift"].sample() + + return RedshiftTileCatalog(self.tile_slen, est_cat) + + def compute_nll(self, true_tile_cat: RedshiftTileCatalog): + loss_old_params = super().compute_nll(true_tile_cat) + q = self.factors + + # redshift loss + # TODO: more elegant shapes, shouldn't need to squeeze + # TODO: make true_tiles_cat.redshifts + true_redshifts = true_tile_cat["data"]["redshifts"].squeeze(-1) + redshift_loss = -1 * q["redshift"].log_prob(true_redshifts).squeeze(-1) + redshift_loss *= true_tile_cat.n_sources + return loss_old_params + redshift_loss From dd8ba2907c868bd6761b49695f92b68e2419c842 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Thu, 6 Jun 2024 09:56:37 -0400 Subject: [PATCH 02/27] dc2 bliss pred redshift can run rebase master to branch --- bliss/catalog.py | 2 +- bliss/encoder/encoder.py | 2 +- bliss/encoder/metrics.py | 76 + bliss/encoder/variational_dist.py | 1 - bliss/simulator/prior.py | 26 + bliss/surveys/dc2.py | 4 + .../redshift_from_img/DC2_psf_aug_asinh.out | 5387 +++++++++++++++++ .../redshift_from_img/dc2_redshift_eval.ipynb | 438 ++ .../redshift_from_img/full_train_config.yaml | 76 + .../redshift/redshift_from_img/run_dc2_exp.sh | 2 + 10 files changed, 6011 insertions(+), 3 deletions(-) create mode 100644 case_studies/redshift/redshift_from_img/DC2_psf_aug_asinh.out create mode 100644 case_studies/redshift/redshift_from_img/dc2_redshift_eval.ipynb create mode 100644 case_studies/redshift/redshift_from_img/full_train_config.yaml create mode 100755 case_studies/redshift/redshift_from_img/run_dc2_exp.sh diff --git a/bliss/catalog.py b/bliss/catalog.py index 12e68d1e0..befc0dccb 100644 --- a/bliss/catalog.py +++ b/bliss/catalog.py @@ -144,7 +144,7 @@ def to_full_catalog(self): plocs = self.get_full_locs_from_tiles() param_names_to_mask = {"plocs"}.union(set(self.keys())) tile_params_to_gather = {"plocs": plocs} - tile_params_to_gather.update(self) + tile_params_to_gather.update(self) # add other params params = {} indices_to_retrieve, is_on_array = self.get_indices_of_on_sources() diff --git a/bliss/encoder/encoder.py b/bliss/encoder/encoder.py index c0af39264..d9f488aeb 100644 --- a/bliss/encoder/encoder.py +++ b/bliss/encoder/encoder.py @@ -145,7 +145,7 @@ def interleave_catalogs(self, marginal_cat, cond_cat, marginal_mask): mm5d = rearrange(marginal_mask, "b ht wt -> b ht wt 1 1") for k, v in marginal_cat.items(): mm = marginal_mask if k == "n_sources" else mm5d - d[k] = v * mm + cond_cat[k] * (1 - mm) + d[k] = v * mm + cond_cat[k] * (1 - mm) return TileCatalog(self.tile_slen, d) def sample(self, batch, use_mode=True): diff --git a/bliss/encoder/metrics.py b/bliss/encoder/metrics.py index 040080279..641926839 100644 --- a/bliss/encoder/metrics.py +++ b/bliss/encoder/metrics.py @@ -503,3 +503,79 @@ def compute(self): results[f"{gs_name}_mae"] = avg_galsim_param_err[i] return results + +class RedshiftMeanSquaredError(Metric): + def __init__(self, **kwargs): + super().__init__(**kwargs) + # self.add_state("preds", default=torch.tensor([]), dist_reduce_fx="cat") + # self.add_state("truth", default=torch.tensor([]), dist_reduce_fx="cat") + self.add_state("sum_squared_error", default=torch.zeros(1), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") + + def update(self, true_cat, est_cat, matching): + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + self.total += tcat_matches.size(0) + + true_red = true_cat["redshift"][i][tcat_matches] + est_red = est_cat["redshift"][i][ecat_matches] + red_err = ((true_red - est_red).abs()** 2).sum() + + self.sum_squared_error += red_err + + def compute(self): + mse = self.sum_squared_error / self.total + return {"Mean squared error": mse.item()} + + +# class RedshiftNLL(Metric): +# def __init__(self, **kwargs): +# super().__init__(**kwargs) + +# # self.add_state("preds_loc", default=torch.tensor([]), dist_reduce_fx="cat") +# # self.add_state("preds_scale", default=torch.tensor([]), dist_reduce_fx="cat") +# # self.add_state("truth", default=torch.tensor([]), dist_reduce_fx="cat") +# self.add_state("negative_loglikelihood", default=torch.zeros(1), dist_reduce_fx="sum") +# self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") + +# def update(self, true_cat, marginal_dist): + +# for i in range(true_cat.shape[0]): +# #tcat_matches, ecat_matches = matching[i] +# #self.total += tcat_matches.size(0) +# self.total += true_cat.shape[0] +# est_miu = marginal_dist.factors["redshift"].loc[i] +# est_sigma = marginal_dist.factors["redshift"].scale[i] +# true_miu = true_cat[i, :, :] +# distribution = torch.distributions.Normal(est_miu, est_sigma) +# nll = -distribution.log_prob(true_miu) +# self.negative_loglikelihood += nll.sum() + + +# def compute(self): + +# nll = self.negative_loglikelihood / self.total +# return {"negative loglikelihood": nll.item()} + +# class RedshiftCatastrophicErrorRate(Metric): +# def __init__(self, **kwargs): +# super().__init__(**kwargs) + +# self.add_state("catastrophic_errors", default=torch.zeros(1), dist_reduce_fx="sum") +# self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") + +# def update(self, true_cat, marginal_dist): +# for i in range(true_cat.batch_size): +# tcat_matches, ecat_matches = matching[i] +# self.total += tcat_matches.size(0) + +# est_miu = marginal_dist["redshifts"].loc[i][ecat_matches] +# est_sigma = marginal_dist["redshifts"].scale[i][ecat_matches] +# true_miu = true_cat["redshifts"].loc[i][tcat_matches] +# temp = abs(true_miu - est_miu ) > 5 * est_sigma +# self.catastrophic_errors += temp.sum() + + +# def compute(self): +# csr = self.catastrophic_errors.float() / self.total +# return {"Catastrophic error rate": csr.item()} diff --git a/bliss/encoder/variational_dist.py b/bliss/encoder/variational_dist.py index 592092ba6..8dadb7174 100644 --- a/bliss/encoder/variational_dist.py +++ b/bliss/encoder/variational_dist.py @@ -17,7 +17,6 @@ class VariationalDist(torch.nn.Module): def __init__(self, factors, tile_slen): super().__init__() - self.factors = factors self.tile_slen = tile_slen diff --git a/bliss/simulator/prior.py b/bliss/simulator/prior.py index 7814ec484..117d97330 100644 --- a/bliss/simulator/prior.py +++ b/bliss/simulator/prior.py @@ -8,6 +8,7 @@ from scipy.stats import truncpareto from torch import Tensor from torch.distributions import Gamma, Poisson, Uniform +import pandas as pd from bliss.catalog import SourceType, TileCatalog @@ -111,6 +112,23 @@ def __init__( self.reference_band = reference_band self.gmm_star, self.gmm_gal = self._load_color_models() + # self.array = ( + # pd.read_csv( + # "/data/scratch/declan/dc2_truth_galaxies_mini_clean.csv", + # header=0, + # dtype={ + # "mag_u": float, + # "mag_g": float, + # "mag_r": float, + # "mag_i": float, + # "mag_z": float, + # "redshift": float, + # }, + # ) + # .to_numpy()[:, 1:] + # .astype(float) + # ) + def sample(self) -> TileCatalog: """Samples latent variables from the prior of an astronomical image. @@ -126,6 +144,7 @@ def sample(self) -> TileCatalog: n_sources = self._sample_n_sources() source_type = self._sample_source_type() + # redshift = self._sample_redshift(indices) catalog_params = { "n_sources": n_sources, @@ -134,6 +153,7 @@ def sample(self) -> TileCatalog: "galaxy_fluxes": galaxy_fluxes, "galaxy_params": galaxy_params, "star_fluxes": star_fluxes, + # "redshift": redshift, } return TileCatalog(self.tile_slen, catalog_params) @@ -177,6 +197,12 @@ def _sample_star_fluxes(self): # select specified bands bands = np.array(range(self.n_bands)) return total_flux[..., bands] + + # def _sample_indices(self): + # return np.random.choice(range(len(self.array)), size=self.latent_dims, replace=True) + + # def _sample_redshift(self, indices): + # return torch.from_numpy(np.take(self.array[:, -1], indices)) def _load_color_models(self): # Load models from disk diff --git a/bliss/surveys/dc2.py b/bliss/surveys/dc2.py index 47f22fcec..2b6cf8e62 100644 --- a/bliss/surveys/dc2.py +++ b/bliss/surveys/dc2.py @@ -400,6 +400,7 @@ def from_file(cls, cat_path, wcs, height, width, band, min_flux_for_loss): galaxy_a_b * galaxy_bools, ) ).t() + redshift = torch.tensor(catalog["redshift"].values) keep = galaxy_bools | star_bools source_type = torch.from_numpy(np.array(catalog["truth_type"])[keep]) @@ -413,6 +414,7 @@ def from_file(cls, cat_path, wcs, height, width, band, min_flux_for_loss): galaxy_params = galaxy_params[keep] galaxy_fluxes = flux[keep] objid = objid[keep] + redshift = redshift[keep] pt, pr = wcs.all_world2pix(ra, dec, 0) # convert to pixel coordinates plocs = torch.stack((torch.tensor(pr), torch.tensor(pt)), dim=-1) @@ -432,6 +434,7 @@ def from_file(cls, cat_path, wcs, height, width, band, min_flux_for_loss): plocs = plocs[x_mask] source_type = source_type[x_mask] + redshift = redshift[x_mask] nobj = source_type.shape[0] d = { @@ -443,6 +446,7 @@ def from_file(cls, cat_path, wcs, height, width, band, min_flux_for_loss): "galaxy_params": galaxy_params.reshape(1, nobj, 6), "star_fluxes": star_fluxes.reshape(1, nobj, 6), "star_log_fluxes": star_log_fluxes.reshape(1, nobj, 6), + "redshift": redshift.reshape(1, nobj, 1) } return cls(height, width, d), torch.stack(psf_params), match_id diff --git a/case_studies/redshift/redshift_from_img/DC2_psf_aug_asinh.out b/case_studies/redshift/redshift_from_img/DC2_psf_aug_asinh.out new file mode 100644 index 000000000..046ddc5ac --- /dev/null +++ b/case_studies/redshift/redshift_from_img/DC2_psf_aug_asinh.out @@ -0,0 +1,5387 @@ +WARNING: BLISS_HOME not set, setting to project root /home/qiaozhih/bliss + +Global seed set to 42 +GPU available: True (cuda), used: True +TPU available: False, using: 0 TPU cores +IPU available: False, using: 0 IPUs +HPU available: False, using: 0 HPUs +[rank: 0] Global seed set to 42 +Initializing distributed: GLOBAL_RANK: 0, MEMBER: 1/4 +[rank: 3] Global seed set to 42 +[rank: 1] Global seed set to 42 +[rank: 2] Global seed set to 42 +[rank: 3] Global seed set to 42 +[rank: 1] Global seed set to 42 +Initializing distributed: GLOBAL_RANK: 3, MEMBER: 4/4 +Initializing distributed: GLOBAL_RANK: 1, MEMBER: 2/4 +[rank: 2] Global seed set to 42 +Initializing distributed: GLOBAL_RANK: 2, MEMBER: 3/4 +Added key: store_based_barrier_key:1 to store for rank: 3 +Added key: store_based_barrier_key:1 to store for rank: 1 +Added key: store_based_barrier_key:1 to store for rank: 2 +Added key: store_based_barrier_key:1 to store for rank: 0 +Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +---------------------------------------------------------------------------------------------------- +distributed_backend=nccl +All distributed processes registered. Starting with 4 processes +---------------------------------------------------------------------------------------------------- + +Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. +LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6] +LOCAL_RANK: 1 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6] +LOCAL_RANK: 3 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6] +LOCAL_RANK: 2 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6] + + | Name | Type | Params +------------------------------------------------------------- +0 | image_normalizer | ImageNormalizer | 0 +1 | vd_spec | VariationalDistSpec | 0 +2 | mode_metrics | MetricCollection | 0 +3 | sample_metrics | MetricCollection | 0 +4 | sample_image_renders | MetricCollection | 0 +5 | features_net | FeaturesNet | 1.7 M +6 | marginal_net | CatalogNet | 5.7 M +7 | checkerboard_net | ContextNet | 6.5 M +------------------------------------------------------------- +13.9 M Trainable params +0 Non-trainable params +13.9 M Total params +55.629 Total estimated model params size (MB) + Sanity Checking: 0it [00:00, ?it/s] Sanity Checking: 0%| | 0/2 [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
flux_zdecflux_gmatch_objectIdcosmodc2_ididtruth_typeredshiftraflux_u...psf_fwhm_iIxxPSF_pixel_zIyyPSF_pixel_gIyyPSF_pixel_iobjectIdIyyPSF_pixel_uIxxPSF_pixel_rIxxPSF_pixel_gIyyPSF_pixel_rIxyPSF_pixel_g
0225.679337-38.677521160.843887159825010213533688757401501875740150111.78279556.851958123.476219...0.8199643.8677503.0905873.0189331.598250e+163.6675363.1087673.4524023.0590000.006627
2609.065308-38.676882550.806763159825010213533978752812073875281207311.07225956.883238594.172546...0.8192853.9150393.0671763.0140971.598250e+163.6212903.1357663.4151853.0824650.006382
3307.122284-38.676674117.508293159825010213534148750045581875004558110.23271456.85817051.661514...0.8198053.8838143.0614463.0164441.598250e+163.6475053.0726023.4238193.0246580.008114
61558.387695-38.676597517.336731159825010213534248753086049875308604911.12060756.839516656.743408...0.8192763.8507573.1141113.0128091.598250e+163.5428993.0891543.4536553.0456360.006842
8467.310120-38.676690245.598129159825010213534298754413350875441335011.34406556.818624292.148132...0.8166413.8868443.0899772.9934961.598250e+163.6336363.0597303.4366443.0165250.004627
..................................................................
4700320091.613182-35.22457682.090706-16957709497695770949712.95646759.83393423.989344...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
4700323898.865471-34.77690477.583710-16957710648695771064813.03753459.92375510.548692...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
47003587122.865875-34.94457790.721962-16957732694695773269412.96363459.82550713.904224...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
47003845119.035057-35.231584120.689056-16957757458695775745812.95190659.64126951.287773...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
47003883697.999512-35.69802668.897247-17875517662787551766210.55782659.05437814.964841...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
\n", + "

6996434 rows × 45 columns

\n", + "" + ], + "text/plain": [ + " flux_z dec flux_g match_objectId cosmodc2_id \\\n", + "0 225.679337 -38.677521 160.843887 15982501021353368 8757401501 \n", + "2 609.065308 -38.676882 550.806763 15982501021353397 8752812073 \n", + "3 307.122284 -38.676674 117.508293 15982501021353414 8750045581 \n", + "6 1558.387695 -38.676597 517.336731 15982501021353424 8753086049 \n", + "8 467.310120 -38.676690 245.598129 15982501021353429 8754413350 \n", + "... ... ... ... ... ... \n", + "47003200 91.613182 -35.224576 82.090706 -1 6957709497 \n", + "47003238 98.865471 -34.776904 77.583710 -1 6957710648 \n", + "47003587 122.865875 -34.944577 90.721962 -1 6957732694 \n", + "47003845 119.035057 -35.231584 120.689056 -1 6957757458 \n", + "47003883 697.999512 -35.698026 68.897247 -1 7875517662 \n", + "\n", + " id truth_type redshift ra flux_u ... \\\n", + "0 8757401501 1 1.782795 56.851958 123.476219 ... \n", + "2 8752812073 1 1.072259 56.883238 594.172546 ... \n", + "3 8750045581 1 0.232714 56.858170 51.661514 ... \n", + "6 8753086049 1 1.120607 56.839516 656.743408 ... \n", + "8 8754413350 1 1.344065 56.818624 292.148132 ... \n", + "... ... ... ... ... ... ... \n", + "47003200 6957709497 1 2.956467 59.833934 23.989344 ... \n", + "47003238 6957710648 1 3.037534 59.923755 10.548692 ... \n", + "47003587 6957732694 1 2.963634 59.825507 13.904224 ... \n", + "47003845 6957757458 1 2.951906 59.641269 51.287773 ... \n", + "47003883 7875517662 1 0.557826 59.054378 14.964841 ... \n", + "\n", + " psf_fwhm_i IxxPSF_pixel_z IyyPSF_pixel_g IyyPSF_pixel_i \\\n", + "0 0.819964 3.867750 3.090587 3.018933 \n", + "2 0.819285 3.915039 3.067176 3.014097 \n", + "3 0.819805 3.883814 3.061446 3.016444 \n", + "6 0.819276 3.850757 3.114111 3.012809 \n", + "8 0.816641 3.886844 3.089977 2.993496 \n", + "... ... ... ... ... \n", + "47003200 NaN NaN NaN NaN \n", + "47003238 NaN NaN NaN NaN \n", + "47003587 NaN NaN NaN NaN \n", + "47003845 NaN NaN NaN NaN \n", + "47003883 NaN NaN NaN NaN \n", + "\n", + " objectId IyyPSF_pixel_u IxxPSF_pixel_r IxxPSF_pixel_g \\\n", + "0 1.598250e+16 3.667536 3.108767 3.452402 \n", + "2 1.598250e+16 3.621290 3.135766 3.415185 \n", + "3 1.598250e+16 3.647505 3.072602 3.423819 \n", + "6 1.598250e+16 3.542899 3.089154 3.453655 \n", + "8 1.598250e+16 3.633636 3.059730 3.436644 \n", + "... ... ... ... ... \n", + "47003200 NaN NaN NaN NaN \n", + "47003238 NaN NaN NaN NaN \n", + "47003587 NaN NaN NaN NaN \n", + "47003845 NaN NaN NaN NaN \n", + "47003883 NaN NaN NaN NaN \n", + "\n", + " IyyPSF_pixel_r IxyPSF_pixel_g \n", + "0 3.059000 0.006627 \n", + "2 3.082465 0.006382 \n", + "3 3.024658 0.008114 \n", + "6 3.045636 0.006842 \n", + "8 3.016525 0.004627 \n", + "... ... ... \n", + "47003200 NaN NaN \n", + "47003238 NaN NaN \n", + "47003587 NaN NaN \n", + "47003845 NaN NaN \n", + "47003883 NaN NaN \n", + "\n", + "[6996434 rows x 45 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_pickle(\"/home/qiaozhih/bliss/case_studies/dc2/merged_catalog/merged_catalog_with_flux_over_100.pkl\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/case_studies/redshift/redshift_from_img/full_train_config.yaml b/case_studies/redshift/redshift_from_img/full_train_config.yaml new file mode 100644 index 000000000..e48780262 --- /dev/null +++ b/case_studies/redshift/redshift_from_img/full_train_config.yaml @@ -0,0 +1,76 @@ +--- +defaults: + - ../../../bliss/conf@_here_: base_config + - _self_ + - override hydra/job_logging: stdout + +mode: train + +paths: + root: ${oc.env:BLISS_HOME} + data: ${paths.root}/data + sdss: ${paths.data}/sdss + decals: ${paths.data}/decals + des: ${paths.data}/des + dc2: ${paths.data}/dc2 + output: ${paths.root}/output + +encoder: + survey_bands: ["g", "i", "r", "u", "y", "z"] + tile_slen: 4 + double_detect: false + tiles_to_crop: 1 + do_data_augmentation: true + image_normalizer: + bands: [0, 1, 2, 3, 4, 5] + num_psf_params: 4 # for SDSS, 4 for DC2 + log_transform_stdevs: [] + use_clahe: false + asinh_params: + scale: 0.1 + thresholds: [-3, 0, 1, 3] + concat_psf_params: true + metrics: + _target_: torchmetrics.MetricCollection + _convert_: "partial" + metrics: + detection_performance: + _target_: bliss.encoder.metrics.DetectionPerformance + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + bin_unit_is_flux: true + detection_performance_star: + _target_: bliss.encoder.metrics.DetectionPerformance + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + source_type_filter: "star" + bin_unit_is_flux: true + detection_performance_galaxy: + _target_: bliss.encoder.metrics.DetectionPerformance + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + source_type_filter: "galaxy" + bin_unit_is_flux: true + source_type_accuracy: + _target_: bliss.encoder.metrics.SourceTypeAccuracy + flux_error: + _target_: bliss.encoder.metrics.FluxError + survey_bands: ${encoder.survey_bands} + # galaxy_shape_error: + # _target_: bliss.encoder.metrics.GalaxyShapeError + redshift_mearn_square_error: + _target_: bliss.encoder.metrics.RedshiftMeanSquaredError + +train: + trainer: + logger: + name: DC2_redshift + version: DC2_psf_aug_asinh + precision: 32 + strategy: + _target_: pytorch_lightning.strategies.DDPStrategy + process_group_backend: nccl + timeout: + _target_: datetime.timedelta + seconds: 180000 + devices: [0, 2, 3, 4] + # devices: [0] + data_source: ${surveys.dc2} + pretrained_weights: null diff --git a/case_studies/redshift/redshift_from_img/run_dc2_exp.sh b/case_studies/redshift/redshift_from_img/run_dc2_exp.sh new file mode 100755 index 000000000..bb28b180a --- /dev/null +++ b/case_studies/redshift/redshift_from_img/run_dc2_exp.sh @@ -0,0 +1,2 @@ +#!/bin/bash +nohup bliss -cp ~/bliss/case_studies/redshift/redshift_from_img -cn full_train_config > DC2_psf_aug_asinh.out 2>&1 & \ No newline at end of file From 57b0a37a0d48102818b1d90114012646466cdd08 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Thu, 6 Jun 2024 16:42:30 -0400 Subject: [PATCH 03/27] can predict redshift rebase --- bliss/encoder/metrics.py | 2 +- .../redshift_from_img/full_train_config.yaml | 17 ++++++++--------- 2 files changed, 9 insertions(+), 10 deletions(-) diff --git a/bliss/encoder/metrics.py b/bliss/encoder/metrics.py index 641926839..fb6ce0655 100644 --- a/bliss/encoder/metrics.py +++ b/bliss/encoder/metrics.py @@ -525,7 +525,7 @@ def update(self, true_cat, est_cat, matching): def compute(self): mse = self.sum_squared_error / self.total - return {"Mean squared error": mse.item()} + return {"redshift_mse": mse.item()} # class RedshiftNLL(Metric): diff --git a/case_studies/redshift/redshift_from_img/full_train_config.yaml b/case_studies/redshift/redshift_from_img/full_train_config.yaml index e48780262..7f68955cd 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config.yaml @@ -6,15 +6,6 @@ defaults: mode: train -paths: - root: ${oc.env:BLISS_HOME} - data: ${paths.root}/data - sdss: ${paths.data}/sdss - decals: ${paths.data}/decals - des: ${paths.data}/des - dc2: ${paths.data}/dc2 - output: ${paths.root}/output - encoder: survey_bands: ["g", "i", "r", "u", "y", "z"] tile_slen: 4 @@ -70,6 +61,14 @@ train: timeout: _target_: datetime.timedelta seconds: 180000 + callbacks: + - _target_: pytorch_lightning.callbacks.ModelCheckpoint + filename: encoder_{val_loss:.6f} + save_top_k: 5 + verbose: True + monitor: val/_loss + mode: min + val_check_interval: 0.5 devices: [0, 2, 3, 4] # devices: [0] data_source: ${surveys.dc2} From c1031a9be9a144b2916033800a537b37cb5885e5 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Mon, 10 Jun 2024 13:07:13 -0400 Subject: [PATCH 04/27] modify rebase --- bliss/encoder/variational_dist.py | 7 +++ .../redshift_from_img/full_train_config.yaml | 44 +++++++++---------- 2 files changed, 29 insertions(+), 22 deletions(-) diff --git a/bliss/encoder/variational_dist.py b/bliss/encoder/variational_dist.py index 8dadb7174..7aff3b10e 100644 --- a/bliss/encoder/variational_dist.py +++ b/bliss/encoder/variational_dist.py @@ -215,9 +215,16 @@ def sample(self, sample_shape=()): # the icdf will be -inf or inf, respectively, so we have to clamp return trunc_normal_samples.clamp(self.a, self.b) +<<<<<<< HEAD @property def a(self): return torch.zeros_like(self.base_dist.mean) +======= + # populate catalog with galaxy parameters + gs_dists = [q[f"galsim_{name}"] for name in self.GALSIM_NAMES] + gs_param_lst = [d.icdf(torch.tensor(0.5)) if use_mode else d.sample() for d in gs_dists] + est_cat["galaxy_params"] = torch.stack(gs_param_lst, dim=3) +>>>>>>> d28f6aec (modify) @property def b(self): diff --git a/case_studies/redshift/redshift_from_img/full_train_config.yaml b/case_studies/redshift/redshift_from_img/full_train_config.yaml index 7f68955cd..2103d32e7 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config.yaml @@ -25,25 +25,25 @@ encoder: _target_: torchmetrics.MetricCollection _convert_: "partial" metrics: - detection_performance: - _target_: bliss.encoder.metrics.DetectionPerformance - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - bin_unit_is_flux: true - detection_performance_star: - _target_: bliss.encoder.metrics.DetectionPerformance - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - source_type_filter: "star" - bin_unit_is_flux: true - detection_performance_galaxy: - _target_: bliss.encoder.metrics.DetectionPerformance - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - source_type_filter: "galaxy" - bin_unit_is_flux: true - source_type_accuracy: - _target_: bliss.encoder.metrics.SourceTypeAccuracy - flux_error: - _target_: bliss.encoder.metrics.FluxError - survey_bands: ${encoder.survey_bands} + # detection_performance: + # _target_: bliss.encoder.metrics.DetectionPerformance + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # bin_unit_is_flux: true + # detection_performance_star: + # _target_: bliss.encoder.metrics.DetectionPerformance + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # source_type_filter: "star" + # bin_unit_is_flux: true + # detection_performance_galaxy: + # _target_: bliss.encoder.metrics.DetectionPerformance + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # source_type_filter: "galaxy" + # bin_unit_is_flux: true + # source_type_accuracy: + # _target_: bliss.encoder.metrics.SourceTypeAccuracy + # flux_error: + # _target_: bliss.encoder.metrics.FluxError + # survey_bands: ${encoder.survey_bands} # galaxy_shape_error: # _target_: bliss.encoder.metrics.GalaxyShapeError redshift_mearn_square_error: @@ -53,7 +53,7 @@ train: trainer: logger: name: DC2_redshift - version: DC2_psf_aug_asinh + version: DC2_redshift_only precision: 32 strategy: _target_: pytorch_lightning.strategies.DDPStrategy @@ -69,7 +69,7 @@ train: monitor: val/_loss mode: min val_check_interval: 0.5 - devices: [0, 2, 3, 4] - # devices: [0] + # devices: [0, 2, 3, 4] + devices: [0] data_source: ${surveys.dc2} pretrained_weights: null From 3c2e8b6973bbe800007c80a0924f90ad06f866f0 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Mon, 10 Jun 2024 14:01:46 -0400 Subject: [PATCH 05/27] redshifts modify --- bliss/encoder/variational_dist.py | 7 ------- bliss/surveys/dc2.py | 6 +++--- 2 files changed, 3 insertions(+), 10 deletions(-) diff --git a/bliss/encoder/variational_dist.py b/bliss/encoder/variational_dist.py index 7aff3b10e..8dadb7174 100644 --- a/bliss/encoder/variational_dist.py +++ b/bliss/encoder/variational_dist.py @@ -215,16 +215,9 @@ def sample(self, sample_shape=()): # the icdf will be -inf or inf, respectively, so we have to clamp return trunc_normal_samples.clamp(self.a, self.b) -<<<<<<< HEAD @property def a(self): return torch.zeros_like(self.base_dist.mean) -======= - # populate catalog with galaxy parameters - gs_dists = [q[f"galsim_{name}"] for name in self.GALSIM_NAMES] - gs_param_lst = [d.icdf(torch.tensor(0.5)) if use_mode else d.sample() for d in gs_dists] - est_cat["galaxy_params"] = torch.stack(gs_param_lst, dim=3) ->>>>>>> d28f6aec (modify) @property def b(self): diff --git a/bliss/surveys/dc2.py b/bliss/surveys/dc2.py index 2b6cf8e62..f2f312fbb 100644 --- a/bliss/surveys/dc2.py +++ b/bliss/surveys/dc2.py @@ -414,7 +414,7 @@ def from_file(cls, cat_path, wcs, height, width, band, min_flux_for_loss): galaxy_params = galaxy_params[keep] galaxy_fluxes = flux[keep] objid = objid[keep] - redshift = redshift[keep] + redshifts = redshifts[keep] pt, pr = wcs.all_world2pix(ra, dec, 0) # convert to pixel coordinates plocs = torch.stack((torch.tensor(pr), torch.tensor(pt)), dim=-1) @@ -434,7 +434,7 @@ def from_file(cls, cat_path, wcs, height, width, band, min_flux_for_loss): plocs = plocs[x_mask] source_type = source_type[x_mask] - redshift = redshift[x_mask] + redshifts = redshifts[x_mask] nobj = source_type.shape[0] d = { @@ -446,7 +446,7 @@ def from_file(cls, cat_path, wcs, height, width, band, min_flux_for_loss): "galaxy_params": galaxy_params.reshape(1, nobj, 6), "star_fluxes": star_fluxes.reshape(1, nobj, 6), "star_log_fluxes": star_log_fluxes.reshape(1, nobj, 6), - "redshift": redshift.reshape(1, nobj, 1) + "redshifts": redshifts.reshape(1, nobj, 1) } return cls(height, width, d), torch.stack(psf_params), match_id From 0812e099ad2a16225cecb93dba36aff05c7806c8 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Thu, 13 Jun 2024 12:16:41 -0400 Subject: [PATCH 06/27] add redshift training and func of testing using best encoder --- bliss/conf/base_config.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/bliss/conf/base_config.yaml b/bliss/conf/base_config.yaml index 602198547..30d6da2cf 100644 --- a/bliss/conf/base_config.yaml +++ b/bliss/conf/base_config.yaml @@ -290,6 +290,7 @@ train: seed: 42 pretrained_weights: null testing: true + test_best: false predict: dataset: ${surveys.sdss} From f0adedbef6ebdfcaf971ae83bf8d9a69f219d8bf Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Thu, 13 Jun 2024 12:34:27 -0400 Subject: [PATCH 07/27] add redshift training and func of testing using best encoder rebase --- bliss/encoder/metrics.py | 76 ------------- bliss/main.py | 12 ++ bliss/surveys/dc2.py | 9 +- .../redshift_from_img/full_train_config.yaml | 103 ++++++++++++------ .../redshift_from_img/notebook_config.yaml | 14 +++ .../notebook_predict_config.yaml | 14 +++ .../redshift/redshift_from_img/train.sh | 2 + .../redshift_from_img/variational_dist.py | 43 ++++++++ 8 files changed, 159 insertions(+), 114 deletions(-) create mode 100644 case_studies/redshift/redshift_from_img/notebook_config.yaml create mode 100644 case_studies/redshift/redshift_from_img/notebook_predict_config.yaml create mode 100755 case_studies/redshift/redshift_from_img/train.sh create mode 100644 case_studies/redshift/redshift_from_img/variational_dist.py diff --git a/bliss/encoder/metrics.py b/bliss/encoder/metrics.py index fb6ce0655..040080279 100644 --- a/bliss/encoder/metrics.py +++ b/bliss/encoder/metrics.py @@ -503,79 +503,3 @@ def compute(self): results[f"{gs_name}_mae"] = avg_galsim_param_err[i] return results - -class RedshiftMeanSquaredError(Metric): - def __init__(self, **kwargs): - super().__init__(**kwargs) - # self.add_state("preds", default=torch.tensor([]), dist_reduce_fx="cat") - # self.add_state("truth", default=torch.tensor([]), dist_reduce_fx="cat") - self.add_state("sum_squared_error", default=torch.zeros(1), dist_reduce_fx="sum") - self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") - - def update(self, true_cat, est_cat, matching): - for i in range(true_cat.batch_size): - tcat_matches, ecat_matches = matching[i] - self.total += tcat_matches.size(0) - - true_red = true_cat["redshift"][i][tcat_matches] - est_red = est_cat["redshift"][i][ecat_matches] - red_err = ((true_red - est_red).abs()** 2).sum() - - self.sum_squared_error += red_err - - def compute(self): - mse = self.sum_squared_error / self.total - return {"redshift_mse": mse.item()} - - -# class RedshiftNLL(Metric): -# def __init__(self, **kwargs): -# super().__init__(**kwargs) - -# # self.add_state("preds_loc", default=torch.tensor([]), dist_reduce_fx="cat") -# # self.add_state("preds_scale", default=torch.tensor([]), dist_reduce_fx="cat") -# # self.add_state("truth", default=torch.tensor([]), dist_reduce_fx="cat") -# self.add_state("negative_loglikelihood", default=torch.zeros(1), dist_reduce_fx="sum") -# self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") - -# def update(self, true_cat, marginal_dist): - -# for i in range(true_cat.shape[0]): -# #tcat_matches, ecat_matches = matching[i] -# #self.total += tcat_matches.size(0) -# self.total += true_cat.shape[0] -# est_miu = marginal_dist.factors["redshift"].loc[i] -# est_sigma = marginal_dist.factors["redshift"].scale[i] -# true_miu = true_cat[i, :, :] -# distribution = torch.distributions.Normal(est_miu, est_sigma) -# nll = -distribution.log_prob(true_miu) -# self.negative_loglikelihood += nll.sum() - - -# def compute(self): - -# nll = self.negative_loglikelihood / self.total -# return {"negative loglikelihood": nll.item()} - -# class RedshiftCatastrophicErrorRate(Metric): -# def __init__(self, **kwargs): -# super().__init__(**kwargs) - -# self.add_state("catastrophic_errors", default=torch.zeros(1), dist_reduce_fx="sum") -# self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") - -# def update(self, true_cat, marginal_dist): -# for i in range(true_cat.batch_size): -# tcat_matches, ecat_matches = matching[i] -# self.total += tcat_matches.size(0) - -# est_miu = marginal_dist["redshifts"].loc[i][ecat_matches] -# est_sigma = marginal_dist["redshifts"].scale[i][ecat_matches] -# true_miu = true_cat["redshifts"].loc[i][tcat_matches] -# temp = abs(true_miu - est_miu ) > 5 * est_sigma -# self.catastrophic_errors += temp.sum() - - -# def compute(self): -# csr = self.catastrophic_errors.float() / self.total -# return {"Catastrophic error rate": csr.item()} diff --git a/bliss/main.py b/bliss/main.py index afcab18d1..1033501a5 100644 --- a/bliss/main.py +++ b/bliss/main.py @@ -9,6 +9,7 @@ import torch from hydra.utils import instantiate from omegaconf import DictConfig, OmegaConf +from pytorch_lightning.callbacks import ModelCheckpoint from tqdm import tqdm from bliss.simulator.simulated_dataset import FileDatum @@ -83,6 +84,17 @@ def train(train_cfg: DictConfig): # train! trainer.fit(encoder, datamodule=dataset) + # load best model for test + if train_cfg.test_best is True: + for callback in trainer.callbacks: + if isinstance(callback, ModelCheckpoint): + model_checkpoint = callback + break + best_model_path = model_checkpoint.best_model_path + enc_state_dict = torch.load(best_model_path) + enc_state_dict = enc_state_dict["state_dict"] + encoder.load_state_dict(enc_state_dict) + # test! if train_cfg.testing: trainer.test(encoder, datamodule=dataset) diff --git a/bliss/surveys/dc2.py b/bliss/surveys/dc2.py index f2f312fbb..fd5dc940e 100644 --- a/bliss/surveys/dc2.py +++ b/bliss/surveys/dc2.py @@ -318,6 +318,7 @@ def generate_split_file(image_index, self_copy): "galaxy_params", "star_fluxes", "star_log_fluxes", + "redshifts", ] for i in param_list: split1_tile = torch.stack(torch.split(tile_dict[i], split_lim // 4, dim=0)) @@ -363,7 +364,9 @@ class Dc2FullCatalog(FullCatalog): """ @classmethod - def from_file(cls, cat_path, wcs, height, width, band, min_flux_for_loss): + def from_file( + cls, cat_path, wcs, height, width, band, min_flux_for_loss + ): # pylint: disable=too-many-statements catalog = pd.read_pickle(cat_path) flux_r_band = catalog["flux_r"].values catalog = catalog.loc[flux_r_band > min_flux_for_loss] @@ -400,7 +403,7 @@ def from_file(cls, cat_path, wcs, height, width, band, min_flux_for_loss): galaxy_a_b * galaxy_bools, ) ).t() - redshift = torch.tensor(catalog["redshift"].values) + redshifts = torch.tensor(catalog["redshifts"].values) keep = galaxy_bools | star_bools source_type = torch.from_numpy(np.array(catalog["truth_type"])[keep]) @@ -446,7 +449,7 @@ def from_file(cls, cat_path, wcs, height, width, band, min_flux_for_loss): "galaxy_params": galaxy_params.reshape(1, nobj, 6), "star_fluxes": star_fluxes.reshape(1, nobj, 6), "star_log_fluxes": star_log_fluxes.reshape(1, nobj, 6), - "redshifts": redshifts.reshape(1, nobj, 1) + "redshifts": redshifts.reshape(1, nobj, 1), } return cls(height, width, d), torch.stack(psf_params), match_id diff --git a/case_studies/redshift/redshift_from_img/full_train_config.yaml b/case_studies/redshift/redshift_from_img/full_train_config.yaml index 2103d32e7..2df85e173 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config.yaml @@ -6,54 +6,77 @@ defaults: mode: train +global_setting: + min_flux_for_loss: 100 # you need to regenerate split_results after changing this number + encoder: + _target_: case_studies.dc2_cataloging.utils.encoder.MyEncoder survey_bands: ["g", "i", "r", "u", "y", "z"] tile_slen: 4 - double_detect: false tiles_to_crop: 1 - do_data_augmentation: true + min_flux_for_loss: ${global_setting.min_flux_for_loss} + min_flux_for_metrics: 100 + optimizer_params: + lr: 1e-3 + scheduler_params: + milestones: [32] + gamma: 0.1 + vd_spec: + _target_: case_studies.redshift.redshift_from_img.variational_dist.RedshiftVariationalDistSpec + survey_bands: ${encoder.survey_bands} + tile_slen: ${encoder.tile_slen} image_normalizer: + _target_: case_studies.dc2_cataloging.utils.image_normalizer.BasicAsinhImageNormalizer bands: [0, 1, 2, 3, 4, 5] + include_original: false + include_background: false + concat_psf_params: true num_psf_params: 4 # for SDSS, 4 for DC2 log_transform_stdevs: [] - use_clahe: false + use_clahe: true + clahe_min_stdev: 200 asinh_params: - scale: 0.1 - thresholds: [-3, 0, 1, 3] - concat_psf_params: true + scale: 1000 + thresholds: [-0.38, -0.1, -0.03, 0.008, 0.06, 0.18, 0.738] + matcher: + _target_: bliss.encoder.metrics.CatalogMatcher + dist_slack: 1.0 + mag_slack: null + mag_band: 2 # SDSS r-band metrics: _target_: torchmetrics.MetricCollection _convert_: "partial" metrics: - # detection_performance: - # _target_: bliss.encoder.metrics.DetectionPerformance - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # bin_unit_is_flux: true - # detection_performance_star: - # _target_: bliss.encoder.metrics.DetectionPerformance - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # source_type_filter: "star" - # bin_unit_is_flux: true - # detection_performance_galaxy: - # _target_: bliss.encoder.metrics.DetectionPerformance - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # source_type_filter: "galaxy" - # bin_unit_is_flux: true - # source_type_accuracy: - # _target_: bliss.encoder.metrics.SourceTypeAccuracy - # flux_error: - # _target_: bliss.encoder.metrics.FluxError - # survey_bands: ${encoder.survey_bands} - # galaxy_shape_error: - # _target_: bliss.encoder.metrics.GalaxyShapeError + detection_performance: + _target_: bliss.encoder.metrics.DetectionPerformance + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + bin_unit_is_flux: true + detection_performance_star: + _target_: bliss.encoder.metrics.DetectionPerformance + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + source_type_filter: "star" + bin_unit_is_flux: true + detection_performance_galaxy: + _target_: bliss.encoder.metrics.DetectionPerformance + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + source_type_filter: "galaxy" + bin_unit_is_flux: true + source_type_accuracy: + _target_: bliss.encoder.metrics.SourceTypeAccuracy + flux_error: + _target_: bliss.encoder.metrics.FluxError + survey_bands: ${encoder.survey_bands} + galaxy_shape_error: + _target_: bliss.encoder.metrics.GalaxyShapeError redshift_mearn_square_error: - _target_: bliss.encoder.metrics.RedshiftMeanSquaredError + _target_: case_studies.redshift.redshift_from_img.metrics.RedshiftMeanSquaredError train: trainer: logger: - name: DC2_redshift - version: DC2_redshift_only + name: DC2_redshift_training + version: DC2_redshift_all_best + save_dir: ${paths.root}/case_studies/redshift/redshift_from_img/ precision: 32 strategy: _target_: pytorch_lightning.strategies.DDPStrategy @@ -63,13 +86,23 @@ train: seconds: 180000 callbacks: - _target_: pytorch_lightning.callbacks.ModelCheckpoint - filename: encoder_{val_loss:.6f} + filename: encoder_{val/mode/Mean squared error:.6f} save_top_k: 5 verbose: True - monitor: val/_loss + # monitor: val/_loss + monitor: val/mode/Mean squared error mode: min - val_check_interval: 0.5 + # val_check_interval: 0.25 + check_val_every_n_epoch: 1 # devices: [0, 2, 3, 4] - devices: [0] + devices: [1, 2, 3, 4] + max_epochs: 50 data_source: ${surveys.dc2} - pretrained_weights: null + pretrained_weights: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_redshift/DC2_redshift_full/checkpoints/encoder_val/mode/Mean squared error=0.432428.ckpt + test_best: true + + +surveys: + dc2: + cat_path: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl + split_results_dir: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_split_result_all diff --git a/case_studies/redshift/redshift_from_img/notebook_config.yaml b/case_studies/redshift/redshift_from_img/notebook_config.yaml new file mode 100644 index 000000000..065359bb6 --- /dev/null +++ b/case_studies/redshift/redshift_from_img/notebook_config.yaml @@ -0,0 +1,14 @@ +--- +defaults: + - full_train_config + - _self_ + - override hydra/job_logging: stdout + +encoder: + tiles_to_crop: 0 + +surveys: + dc2: + cat_path: ${paths.root}/case_studies/dc2/merged_catalog/merged_catalog_with_flux_over_100.pkl + # split_results_dir: /data/scratch/dc2local/run2.2i-dr6-v4/coadd-t3828-t3829/deepCoadd-results-contain-redshifts/ + split_results_dir: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_split_result_all diff --git a/case_studies/redshift/redshift_from_img/notebook_predict_config.yaml b/case_studies/redshift/redshift_from_img/notebook_predict_config.yaml new file mode 100644 index 000000000..c7d3fe55b --- /dev/null +++ b/case_studies/redshift/redshift_from_img/notebook_predict_config.yaml @@ -0,0 +1,14 @@ +--- +defaults: + - full_train_config + - _self_ + - override hydra/job_logging: stdout + +encoder: + tiles_to_crop: 0 + +surveys: + dc2: + cat_path: ${paths.root}/case_studies/dc2/merged_catalog/merged_catalog_with_flux_over_100.pkl + # split_results_dir: /data/scratch/dc2local/run2.2i-dr6-v4/coadd-t3828-t3829/deepCoadd-results-contain-redshifts/ + split_results_dir: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_split_result diff --git a/case_studies/redshift/redshift_from_img/train.sh b/case_studies/redshift/redshift_from_img/train.sh new file mode 100755 index 000000000..9660ae13f --- /dev/null +++ b/case_studies/redshift/redshift_from_img/train.sh @@ -0,0 +1,2 @@ +#!/bin/bash +nohup bliss -cp ~/bliss/case_studies/redshift/redshift_from_img -cn full_train_config > DC2_psf_aug_asinh.out 2>&1 & diff --git a/case_studies/redshift/redshift_from_img/variational_dist.py b/case_studies/redshift/redshift_from_img/variational_dist.py new file mode 100644 index 000000000..36136da93 --- /dev/null +++ b/case_studies/redshift/redshift_from_img/variational_dist.py @@ -0,0 +1,43 @@ +from bliss.catalog import TileCatalog +from bliss.encoder.unconstrained_dists import UnconstrainedNormal +from bliss.encoder.variational_dist import VariationalDist, VariationalDistSpec + + +class RedshiftVariationalDistSpec(VariationalDistSpec): + def __init__(self, survey_bands, tile_slen): + super().__init__(survey_bands, tile_slen) + self.factor_specs["redshifts"] = UnconstrainedNormal() + + def make_dist(self, x_cat): + factors = self._parse_factors(x_cat) + return RedshiftVariationalDist(factors, self.tile_slen) + + +class RedshiftVariationalDist(VariationalDist): + def sample(self, use_mode=False) -> TileCatalog: + """Sample the variational distribution. + + Args: + use_mode: whether to use the mode of the distribution instead of random sampling + + Returns: + TileCatalog: Sampled catalog + """ + est_cat = super().sample(use_mode=use_mode) + + q = self.factors + est_cat["redshifts"] = q["redshifts"].mode if use_mode else q["redshifts"].sample() + # chnage from 3d to 5d + est_cat["redshifts"] = est_cat["redshifts"].unsqueeze(-1).unsqueeze(-1) + + return TileCatalog(self.tile_slen, est_cat) + + def compute_nll(self, true_tile_cat: TileCatalog): + loss = super().compute_nll(true_tile_cat) + q = self.factors + + true_redshifts = true_tile_cat["redshifts"].squeeze() + redshift_loss = -q["redshifts"].log_prob(true_redshifts).squeeze(-1) + loss += redshift_loss + + return loss From e816ebb21c3c1b59c27900840353ccfed0a19b7d Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Thu, 13 Jun 2024 13:47:16 -0400 Subject: [PATCH 08/27] tidy code --- bliss/conf/base_config.yaml | 22 +++++----- bliss/main.py | 9 +--- .../redshift_from_img/full_train_config.yaml | 44 ++++++++++++------- 3 files changed, 43 insertions(+), 32 deletions(-) diff --git a/bliss/conf/base_config.yaml b/bliss/conf/base_config.yaml index 30d6da2cf..6e96533fd 100644 --- a/bliss/conf/base_config.yaml +++ b/bliss/conf/base_config.yaml @@ -265,15 +265,17 @@ train: version: null default_hp_metric: False callbacks: - - _target_: pytorch_lightning.callbacks.ModelCheckpoint - filename: best_encoder - save_top_k: 1 - verbose: True - monitor: val/_loss - mode: min - save_on_train_epoch_end: False - auto_insert_metric_name: False - - _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping + checkpointing: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + filename: best_encoder + save_top_k: 1 + verbose: True + monitor: val/_loss + mode: min + save_on_train_epoch_end: False + auto_insert_metric_name: False + early_stopping: + _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping monitor: val/_loss mode: min patience: 5 @@ -290,7 +292,7 @@ train: seed: 42 pretrained_weights: null testing: true - test_best: false + test_best: true predict: dataset: ${surveys.sdss} diff --git a/bliss/main.py b/bliss/main.py index 1033501a5..1f19517e7 100644 --- a/bliss/main.py +++ b/bliss/main.py @@ -9,7 +9,6 @@ import torch from hydra.utils import instantiate from omegaconf import DictConfig, OmegaConf -from pytorch_lightning.callbacks import ModelCheckpoint from tqdm import tqdm from bliss.simulator.simulated_dataset import FileDatum @@ -85,12 +84,8 @@ def train(train_cfg: DictConfig): trainer.fit(encoder, datamodule=dataset) # load best model for test - if train_cfg.test_best is True: - for callback in trainer.callbacks: - if isinstance(callback, ModelCheckpoint): - model_checkpoint = callback - break - best_model_path = model_checkpoint.best_model_path + if train_cfg.test_best: + best_model_path = trainer.callbacks["checkpointing"].best_model_path enc_state_dict = torch.load(best_model_path) enc_state_dict = enc_state_dict["state_dict"] encoder.load_state_dict(enc_state_dict) diff --git a/case_studies/redshift/redshift_from_img/full_train_config.yaml b/case_studies/redshift/redshift_from_img/full_train_config.yaml index 2df85e173..be5c6de38 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config.yaml @@ -9,6 +9,23 @@ mode: train global_setting: min_flux_for_loss: 100 # you need to regenerate split_results after changing this number +variational_factors: + - _target_: bliss.encoder.variational_dist.BernoulliFactor + name: n_sources + sample_rearrange: null + nll_rearrange: null + nll_gating: null + - _target_: bliss.encoder.variational_dist.TDBNFactor + name: locs + sample_rearrange: "b ht wt d -> b ht wt 1 d" + nll_rearrange: "b ht wt 1 d -> b ht wt d" + nll_gating: n_sources + - _target_: bliss.encoder.variational_dist.NormalFactor + name: redshifts + sample_rearrange: "b ht wt d -> b ht wt 1 d" + nll_rearrange: "b ht wt 1 d -> b ht wt d" + nll_gating: is_galaxy + encoder: _target_: case_studies.dc2_cataloging.utils.encoder.MyEncoder survey_bands: ["g", "i", "r", "u", "y", "z"] @@ -21,10 +38,6 @@ encoder: scheduler_params: milestones: [32] gamma: 0.1 - vd_spec: - _target_: case_studies.redshift.redshift_from_img.variational_dist.RedshiftVariationalDistSpec - survey_bands: ${encoder.survey_bands} - tile_slen: ${encoder.tile_slen} image_normalizer: _target_: case_studies.dc2_cataloging.utils.image_normalizer.BasicAsinhImageNormalizer bands: [0, 1, 2, 3, 4, 5] @@ -75,7 +88,7 @@ train: trainer: logger: name: DC2_redshift_training - version: DC2_redshift_all_best + version: DC2_redshift_test save_dir: ${paths.root}/case_studies/redshift/redshift_from_img/ precision: 32 strategy: @@ -85,24 +98,25 @@ train: _target_: datetime.timedelta seconds: 180000 callbacks: - - _target_: pytorch_lightning.callbacks.ModelCheckpoint - filename: encoder_{val/mode/Mean squared error:.6f} - save_top_k: 5 - verbose: True - # monitor: val/_loss - monitor: val/mode/Mean squared error - mode: min + checkpointing: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + filename: encoder_{val/mode/Mean squared error:.6f} + save_top_k: 5 + verbose: True + # monitor: val/_loss + monitor: val/mode/Mean squared error + mode: min # val_check_interval: 0.25 check_val_every_n_epoch: 1 # devices: [0, 2, 3, 4] devices: [1, 2, 3, 4] - max_epochs: 50 + max_epochs: 1 data_source: ${surveys.dc2} - pretrained_weights: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_redshift/DC2_redshift_full/checkpoints/encoder_val/mode/Mean squared error=0.432428.ckpt + pretrained_weights: null test_best: true surveys: dc2: cat_path: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl - split_results_dir: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_split_result_all + split_results_dir: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_split_result_test From 3d6ddee6acb7854b161b18148a7fe8bd4f210f1a Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Fri, 14 Jun 2024 10:29:49 -0400 Subject: [PATCH 09/27] best encoder for test --- bliss/conf/base_config.yaml | 32 ++++++++++++++++---------------- bliss/main.py | 5 +++-- 2 files changed, 19 insertions(+), 18 deletions(-) diff --git a/bliss/conf/base_config.yaml b/bliss/conf/base_config.yaml index 6e96533fd..827755413 100644 --- a/bliss/conf/base_config.yaml +++ b/bliss/conf/base_config.yaml @@ -264,21 +264,6 @@ train: name: null version: null default_hp_metric: False - callbacks: - checkpointing: - _target_: pytorch_lightning.callbacks.ModelCheckpoint - filename: best_encoder - save_top_k: 1 - verbose: True - monitor: val/_loss - mode: min - save_on_train_epoch_end: False - auto_insert_metric_name: False - early_stopping: - _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping - monitor: val/_loss - mode: min - patience: 5 reload_dataloaders_every_n_epochs: 0 check_val_every_n_epoch: 1 log_every_n_steps: 10 # corresponds to n_batches @@ -287,12 +272,27 @@ train: accelerator: "gpu" devices: 1 precision: 32 + callbacks: + checkpointing: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + filename: best_encoder + save_top_k: 1 + verbose: True + monitor: val/_loss + mode: min + save_on_train_epoch_end: False + auto_insert_metric_name: False + early_stopping: + _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping + monitor: val/_loss + mode: min + patience: 5 data_source: ${cached_simulator} encoder: ${encoder} seed: 42 pretrained_weights: null testing: true - test_best: true + test_best: false predict: dataset: ${surveys.sdss} diff --git a/bliss/main.py b/bliss/main.py index 1f19517e7..12fa8b21e 100644 --- a/bliss/main.py +++ b/bliss/main.py @@ -66,7 +66,8 @@ def train(train_cfg: DictConfig): # setup dataset, encoder, and trainer dataset = instantiate(train_cfg.data_source) encoder = instantiate(train_cfg.encoder) - trainer = instantiate(train_cfg.trainer) + callbacks = instantiate(train_cfg.callbacks) + trainer = instantiate(train_cfg.trainer, callbacks=list(callbacks.values())) # load pretrained weights if train_cfg.pretrained_weights is not None: @@ -85,7 +86,7 @@ def train(train_cfg: DictConfig): # load best model for test if train_cfg.test_best: - best_model_path = trainer.callbacks["checkpointing"].best_model_path + best_model_path = callbacks["checkpointing"].best_model_path enc_state_dict = torch.load(best_model_path) enc_state_dict = enc_state_dict["state_dict"] encoder.load_state_dict(enc_state_dict) From 7675ef5f389120e9eb50ed57d9e0038f6d498549 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Fri, 14 Jun 2024 13:56:59 -0400 Subject: [PATCH 10/27] can run 0-dist code --- bliss/main.py | 2 +- .../redshift_from_img/full_train_config.yaml | 110 ++++++++++-------- 2 files changed, 63 insertions(+), 49 deletions(-) diff --git a/bliss/main.py b/bliss/main.py index 12fa8b21e..eb5545749 100644 --- a/bliss/main.py +++ b/bliss/main.py @@ -63,7 +63,7 @@ def train(train_cfg: DictConfig): else: pl.seed_everything(train_cfg.seed) - # setup dataset, encoder, and trainer + # setup dataset, encoder, callbacks and trainer dataset = instantiate(train_cfg.data_source) encoder = instantiate(train_cfg.encoder) callbacks = instantiate(train_cfg.callbacks) diff --git a/case_studies/redshift/redshift_from_img/full_train_config.yaml b/case_studies/redshift/redshift_from_img/full_train_config.yaml index be5c6de38..853ac41a0 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config.yaml @@ -7,7 +7,7 @@ defaults: mode: train global_setting: - min_flux_for_loss: 100 # you need to regenerate split_results after changing this number + min_flux_for_loss: 50 # you need to regenerate split_results after changing this number variational_factors: - _target_: bliss.encoder.variational_dist.BernoulliFactor @@ -15,19 +15,36 @@ variational_factors: sample_rearrange: null nll_rearrange: null nll_gating: null + - _target_: bliss.encoder.variational_dist.BernoulliFactor + name: source_type + sample_rearrange: "b ht wt -> b ht wt 1 1" + nll_rearrange: "b ht wt 1 1 -> b ht wt" + nll_gating: n_sources - _target_: bliss.encoder.variational_dist.TDBNFactor name: locs sample_rearrange: "b ht wt d -> b ht wt 1 d" nll_rearrange: "b ht wt 1 d -> b ht wt d" nll_gating: n_sources - - _target_: bliss.encoder.variational_dist.NormalFactor - name: redshifts + - _target_: bliss.encoder.variational_dist.LogNormalFactor + name: star_fluxes + dim: 6 sample_rearrange: "b ht wt d -> b ht wt 1 d" nll_rearrange: "b ht wt 1 d -> b ht wt d" + nll_gating: is_star + - _target_: bliss.encoder.variational_dist.LogNormalFactor + name: galaxy_fluxes + dim: 6 + sample_rearrange: "b ht wt d -> b ht wt 1 d" + nll_rearrange: "b ht wt 1 d -> b ht wt d" + nll_gating: is_galaxy + - _target_: bliss.encoder.variational_dist.NormalFactor + name: redshifts + sample_rearrange: "b ht wt -> b ht wt 1 1" + nll_rearrange: "b ht wt 1 1 -> b ht wt" nll_gating: is_galaxy encoder: - _target_: case_studies.dc2_cataloging.utils.encoder.MyEncoder + _target_: bliss.encoder.encoder.Encoder survey_bands: ["g", "i", "r", "u", "y", "z"] tile_slen: 4 tiles_to_crop: 1 @@ -39,18 +56,15 @@ encoder: milestones: [32] gamma: 0.1 image_normalizer: - _target_: case_studies.dc2_cataloging.utils.image_normalizer.BasicAsinhImageNormalizer - bands: [0, 1, 2, 3, 4, 5] - include_original: false - include_background: false - concat_psf_params: true - num_psf_params: 4 # for SDSS, 4 for DC2 - log_transform_stdevs: [] - use_clahe: true - clahe_min_stdev: 200 - asinh_params: - scale: 1000 - thresholds: [-0.38, -0.1, -0.03, 0.008, 0.06, 0.18, 0.738] + _target_: bliss.encoder.image_normalizer.ImageNormalizer + bands: [0, 1, 2, 3, 4, 5] + include_original: false + include_background: false + concat_psf_params: false + num_psf_params: 4 # for SDSS, 4 for DC2 + log_transform_stdevs: [] + use_clahe: true + clahe_min_stdev: 200 matcher: _target_: bliss.encoder.metrics.CatalogMatcher dist_slack: 1.0 @@ -60,27 +74,27 @@ encoder: _target_: torchmetrics.MetricCollection _convert_: "partial" metrics: - detection_performance: - _target_: bliss.encoder.metrics.DetectionPerformance - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - bin_unit_is_flux: true - detection_performance_star: - _target_: bliss.encoder.metrics.DetectionPerformance - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - source_type_filter: "star" - bin_unit_is_flux: true - detection_performance_galaxy: - _target_: bliss.encoder.metrics.DetectionPerformance - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - source_type_filter: "galaxy" - bin_unit_is_flux: true - source_type_accuracy: - _target_: bliss.encoder.metrics.SourceTypeAccuracy - flux_error: - _target_: bliss.encoder.metrics.FluxError - survey_bands: ${encoder.survey_bands} - galaxy_shape_error: - _target_: bliss.encoder.metrics.GalaxyShapeError + # detection_performance: + # _target_: bliss.encoder.metrics.DetectionPerformance + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # bin_unit_is_flux: true + # detection_performance_star: + # _target_: bliss.encoder.metrics.DetectionPerformance + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # source_type_filter: "star" + # bin_unit_is_flux: true + # detection_performance_galaxy: + # _target_: bliss.encoder.metrics.DetectionPerformance + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # source_type_filter: "galaxy" + # bin_unit_is_flux: true + # source_type_accuracy: + # _target_: bliss.encoder.metrics.SourceTypeAccuracy + # flux_error: + # _target_: bliss.encoder.metrics.FluxError + # survey_bands: ${encoder.survey_bands} + # galaxy_shape_error: + # _target_: bliss.encoder.metrics.GalaxyShapeError redshift_mearn_square_error: _target_: case_studies.redshift.redshift_from_img.metrics.RedshiftMeanSquaredError @@ -97,20 +111,20 @@ train: timeout: _target_: datetime.timedelta seconds: 180000 - callbacks: - checkpointing: - _target_: pytorch_lightning.callbacks.ModelCheckpoint - filename: encoder_{val/mode/Mean squared error:.6f} - save_top_k: 5 - verbose: True - # monitor: val/_loss - monitor: val/mode/Mean squared error - mode: min # val_check_interval: 0.25 check_val_every_n_epoch: 1 # devices: [0, 2, 3, 4] - devices: [1, 2, 3, 4] + devices: [5] max_epochs: 1 + callbacks: + checkpointing: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + filename: encoder_{val/mode/Mean squared error:.6f} + save_top_k: 5 + verbose: True + # monitor: val/_loss + monitor: val/mode/Mean squared error + mode: min data_source: ${surveys.dc2} pretrained_weights: null test_best: true @@ -119,4 +133,4 @@ train: surveys: dc2: cat_path: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl - split_results_dir: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_split_result_test + split_results_dir: /data/scratch/qiaozhih/DC2_split_result_all From 216324b0326ec11dc782cb68adf93b21a27d7faf Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Fri, 14 Jun 2024 14:33:52 -0400 Subject: [PATCH 11/27] remove no need file --- .../redshift_from_img/dc2_redshift_eval.ipynb | 438 ------------------ .../redshift_from_img/full_train_config.yaml | 29 +- .../redshift/redshift_from_img/run_dc2_exp.sh | 2 - 3 files changed, 5 insertions(+), 464 deletions(-) delete mode 100644 case_studies/redshift/redshift_from_img/dc2_redshift_eval.ipynb delete mode 100755 case_studies/redshift/redshift_from_img/run_dc2_exp.sh diff --git a/case_studies/redshift/redshift_from_img/dc2_redshift_eval.ipynb b/case_studies/redshift/redshift_from_img/dc2_redshift_eval.ipynb deleted file mode 100644 index 9aeccb88f..000000000 --- a/case_studies/redshift/redshift_from_img/dc2_redshift_eval.ipynb +++ /dev/null @@ -1,438 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
flux_zdecflux_gmatch_objectIdcosmodc2_ididtruth_typeredshiftraflux_u...psf_fwhm_iIxxPSF_pixel_zIyyPSF_pixel_gIyyPSF_pixel_iobjectIdIyyPSF_pixel_uIxxPSF_pixel_rIxxPSF_pixel_gIyyPSF_pixel_rIxyPSF_pixel_g
0225.679337-38.677521160.843887159825010213533688757401501875740150111.78279556.851958123.476219...0.8199643.8677503.0905873.0189331.598250e+163.6675363.1087673.4524023.0590000.006627
2609.065308-38.676882550.806763159825010213533978752812073875281207311.07225956.883238594.172546...0.8192853.9150393.0671763.0140971.598250e+163.6212903.1357663.4151853.0824650.006382
3307.122284-38.676674117.508293159825010213534148750045581875004558110.23271456.85817051.661514...0.8198053.8838143.0614463.0164441.598250e+163.6475053.0726023.4238193.0246580.008114
61558.387695-38.676597517.336731159825010213534248753086049875308604911.12060756.839516656.743408...0.8192763.8507573.1141113.0128091.598250e+163.5428993.0891543.4536553.0456360.006842
8467.310120-38.676690245.598129159825010213534298754413350875441335011.34406556.818624292.148132...0.8166413.8868443.0899772.9934961.598250e+163.6336363.0597303.4366443.0165250.004627
..................................................................
4700320091.613182-35.22457682.090706-16957709497695770949712.95646759.83393423.989344...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
4700323898.865471-34.77690477.583710-16957710648695771064813.03753459.92375510.548692...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
47003587122.865875-34.94457790.721962-16957732694695773269412.96363459.82550713.904224...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
47003845119.035057-35.231584120.689056-16957757458695775745812.95190659.64126951.287773...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
47003883697.999512-35.69802668.897247-17875517662787551766210.55782659.05437814.964841...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
\n", - "

6996434 rows × 45 columns

\n", - "
" - ], - "text/plain": [ - " flux_z dec flux_g match_objectId cosmodc2_id \\\n", - "0 225.679337 -38.677521 160.843887 15982501021353368 8757401501 \n", - "2 609.065308 -38.676882 550.806763 15982501021353397 8752812073 \n", - "3 307.122284 -38.676674 117.508293 15982501021353414 8750045581 \n", - "6 1558.387695 -38.676597 517.336731 15982501021353424 8753086049 \n", - "8 467.310120 -38.676690 245.598129 15982501021353429 8754413350 \n", - "... ... ... ... ... ... \n", - "47003200 91.613182 -35.224576 82.090706 -1 6957709497 \n", - "47003238 98.865471 -34.776904 77.583710 -1 6957710648 \n", - "47003587 122.865875 -34.944577 90.721962 -1 6957732694 \n", - "47003845 119.035057 -35.231584 120.689056 -1 6957757458 \n", - "47003883 697.999512 -35.698026 68.897247 -1 7875517662 \n", - "\n", - " id truth_type redshift ra flux_u ... \\\n", - "0 8757401501 1 1.782795 56.851958 123.476219 ... \n", - "2 8752812073 1 1.072259 56.883238 594.172546 ... \n", - "3 8750045581 1 0.232714 56.858170 51.661514 ... \n", - "6 8753086049 1 1.120607 56.839516 656.743408 ... \n", - "8 8754413350 1 1.344065 56.818624 292.148132 ... \n", - "... ... ... ... ... ... ... \n", - "47003200 6957709497 1 2.956467 59.833934 23.989344 ... \n", - "47003238 6957710648 1 3.037534 59.923755 10.548692 ... \n", - "47003587 6957732694 1 2.963634 59.825507 13.904224 ... \n", - "47003845 6957757458 1 2.951906 59.641269 51.287773 ... \n", - "47003883 7875517662 1 0.557826 59.054378 14.964841 ... \n", - "\n", - " psf_fwhm_i IxxPSF_pixel_z IyyPSF_pixel_g IyyPSF_pixel_i \\\n", - "0 0.819964 3.867750 3.090587 3.018933 \n", - "2 0.819285 3.915039 3.067176 3.014097 \n", - "3 0.819805 3.883814 3.061446 3.016444 \n", - "6 0.819276 3.850757 3.114111 3.012809 \n", - "8 0.816641 3.886844 3.089977 2.993496 \n", - "... ... ... ... ... \n", - "47003200 NaN NaN NaN NaN \n", - "47003238 NaN NaN NaN NaN \n", - "47003587 NaN NaN NaN NaN \n", - "47003845 NaN NaN NaN NaN \n", - "47003883 NaN NaN NaN NaN \n", - "\n", - " objectId IyyPSF_pixel_u IxxPSF_pixel_r IxxPSF_pixel_g \\\n", - "0 1.598250e+16 3.667536 3.108767 3.452402 \n", - "2 1.598250e+16 3.621290 3.135766 3.415185 \n", - "3 1.598250e+16 3.647505 3.072602 3.423819 \n", - "6 1.598250e+16 3.542899 3.089154 3.453655 \n", - "8 1.598250e+16 3.633636 3.059730 3.436644 \n", - "... ... ... ... ... \n", - "47003200 NaN NaN NaN NaN \n", - "47003238 NaN NaN NaN NaN \n", - "47003587 NaN NaN NaN NaN \n", - "47003845 NaN NaN NaN NaN \n", - "47003883 NaN NaN NaN NaN \n", - "\n", - " IyyPSF_pixel_r IxyPSF_pixel_g \n", - "0 3.059000 0.006627 \n", - "2 3.082465 0.006382 \n", - "3 3.024658 0.008114 \n", - "6 3.045636 0.006842 \n", - "8 3.016525 0.004627 \n", - "... ... ... \n", - "47003200 NaN NaN \n", - "47003238 NaN NaN \n", - "47003587 NaN NaN \n", - "47003845 NaN NaN \n", - "47003883 NaN NaN \n", - "\n", - "[6996434 rows x 45 columns]" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df = pd.read_pickle(\"/home/qiaozhih/bliss/case_studies/dc2/merged_catalog/merged_catalog_with_flux_over_100.pkl\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/case_studies/redshift/redshift_from_img/full_train_config.yaml b/case_studies/redshift/redshift_from_img/full_train_config.yaml index 853ac41a0..6ba1ca84f 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config.yaml @@ -73,30 +73,11 @@ encoder: metrics: _target_: torchmetrics.MetricCollection _convert_: "partial" - metrics: - # detection_performance: - # _target_: bliss.encoder.metrics.DetectionPerformance - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # bin_unit_is_flux: true - # detection_performance_star: - # _target_: bliss.encoder.metrics.DetectionPerformance - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # source_type_filter: "star" - # bin_unit_is_flux: true - # detection_performance_galaxy: - # _target_: bliss.encoder.metrics.DetectionPerformance - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # source_type_filter: "galaxy" - # bin_unit_is_flux: true - # source_type_accuracy: - # _target_: bliss.encoder.metrics.SourceTypeAccuracy - # flux_error: - # _target_: bliss.encoder.metrics.FluxError - # survey_bands: ${encoder.survey_bands} - # galaxy_shape_error: - # _target_: bliss.encoder.metrics.GalaxyShapeError - redshift_mearn_square_error: - _target_: case_studies.redshift.redshift_from_img.metrics.RedshiftMeanSquaredError + metrics: ${my_metrics} + +my_metrics: + redshift_mearn_square_error: + _target_: case_studies.redshift.redshift_from_img.metrics.RedshiftMeanSquaredError train: trainer: diff --git a/case_studies/redshift/redshift_from_img/run_dc2_exp.sh b/case_studies/redshift/redshift_from_img/run_dc2_exp.sh deleted file mode 100755 index bb28b180a..000000000 --- a/case_studies/redshift/redshift_from_img/run_dc2_exp.sh +++ /dev/null @@ -1,2 +0,0 @@ -#!/bin/bash -nohup bliss -cp ~/bliss/case_studies/redshift/redshift_from_img -cn full_train_config > DC2_psf_aug_asinh.out 2>&1 & \ No newline at end of file From aac3161ca091fe58d5b5ed4085b733ca712efabb Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Fri, 14 Jun 2024 14:34:21 -0400 Subject: [PATCH 12/27] rm --- .../redshift_from_img/DC2_psf_aug_asinh.out | 5387 ----------------- 1 file changed, 5387 deletions(-) delete mode 100644 case_studies/redshift/redshift_from_img/DC2_psf_aug_asinh.out diff --git a/case_studies/redshift/redshift_from_img/DC2_psf_aug_asinh.out b/case_studies/redshift/redshift_from_img/DC2_psf_aug_asinh.out deleted file mode 100644 index 046ddc5ac..000000000 --- a/case_studies/redshift/redshift_from_img/DC2_psf_aug_asinh.out +++ /dev/null @@ -1,5387 +0,0 @@ -WARNING: BLISS_HOME not set, setting to project root /home/qiaozhih/bliss - -Global seed set to 42 -GPU available: True (cuda), used: True -TPU available: False, using: 0 TPU cores -IPU available: False, using: 0 IPUs -HPU available: False, using: 0 HPUs -[rank: 0] Global seed set to 42 -Initializing distributed: GLOBAL_RANK: 0, MEMBER: 1/4 -[rank: 3] Global seed set to 42 -[rank: 1] Global seed set to 42 -[rank: 2] Global seed set to 42 -[rank: 3] Global seed set to 42 -[rank: 1] Global seed set to 42 -Initializing distributed: GLOBAL_RANK: 3, MEMBER: 4/4 -Initializing distributed: GLOBAL_RANK: 1, MEMBER: 2/4 -[rank: 2] Global seed set to 42 -Initializing distributed: GLOBAL_RANK: 2, MEMBER: 3/4 -Added key: store_based_barrier_key:1 to store for rank: 3 -Added key: store_based_barrier_key:1 to store for rank: 1 -Added key: store_based_barrier_key:1 to store for rank: 2 -Added key: store_based_barrier_key:1 to store for rank: 0 -Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. ----------------------------------------------------------------------------------------------------- -distributed_backend=nccl -All distributed processes registered. Starting with 4 processes ----------------------------------------------------------------------------------------------------- - -Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. -Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. -Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. -LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6] -LOCAL_RANK: 1 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6] -LOCAL_RANK: 3 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6] -LOCAL_RANK: 2 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6] - - | Name | Type | Params -------------------------------------------------------------- -0 | image_normalizer | ImageNormalizer | 0 -1 | vd_spec | VariationalDistSpec | 0 -2 | mode_metrics | MetricCollection | 0 -3 | sample_metrics | MetricCollection | 0 -4 | sample_image_renders | MetricCollection | 0 -5 | features_net | FeaturesNet | 1.7 M -6 | marginal_net | CatalogNet | 5.7 M -7 | checkerboard_net | ContextNet | 6.5 M -------------------------------------------------------------- -13.9 M Trainable params -0 Non-trainable params -13.9 M Total params -55.629 Total estimated model params size (MB) - Sanity Checking: 0it [00:00, ?it/s] Sanity Checking: 0%| | 0/2 [00:00 Date: Fri, 14 Jun 2024 14:36:10 -0400 Subject: [PATCH 13/27] rm var --- .../redshift_from_img/variational_dist.py | 43 ------------------- 1 file changed, 43 deletions(-) delete mode 100644 case_studies/redshift/redshift_from_img/variational_dist.py diff --git a/case_studies/redshift/redshift_from_img/variational_dist.py b/case_studies/redshift/redshift_from_img/variational_dist.py deleted file mode 100644 index 36136da93..000000000 --- a/case_studies/redshift/redshift_from_img/variational_dist.py +++ /dev/null @@ -1,43 +0,0 @@ -from bliss.catalog import TileCatalog -from bliss.encoder.unconstrained_dists import UnconstrainedNormal -from bliss.encoder.variational_dist import VariationalDist, VariationalDistSpec - - -class RedshiftVariationalDistSpec(VariationalDistSpec): - def __init__(self, survey_bands, tile_slen): - super().__init__(survey_bands, tile_slen) - self.factor_specs["redshifts"] = UnconstrainedNormal() - - def make_dist(self, x_cat): - factors = self._parse_factors(x_cat) - return RedshiftVariationalDist(factors, self.tile_slen) - - -class RedshiftVariationalDist(VariationalDist): - def sample(self, use_mode=False) -> TileCatalog: - """Sample the variational distribution. - - Args: - use_mode: whether to use the mode of the distribution instead of random sampling - - Returns: - TileCatalog: Sampled catalog - """ - est_cat = super().sample(use_mode=use_mode) - - q = self.factors - est_cat["redshifts"] = q["redshifts"].mode if use_mode else q["redshifts"].sample() - # chnage from 3d to 5d - est_cat["redshifts"] = est_cat["redshifts"].unsqueeze(-1).unsqueeze(-1) - - return TileCatalog(self.tile_slen, est_cat) - - def compute_nll(self, true_tile_cat: TileCatalog): - loss = super().compute_nll(true_tile_cat) - q = self.factors - - true_redshifts = true_tile_cat["redshifts"].squeeze() - redshift_loss = -q["redshifts"].log_prob(true_redshifts).squeeze(-1) - loss += redshift_loss - - return loss From 9b249d515a5d4679b73fda1e085b7ada20a7d556 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Fri, 14 Jun 2024 14:40:29 -0400 Subject: [PATCH 14/27] rm est --- .../__pycache__/catalog.cpython-310.pyc | Bin 2046 -> 0 bytes .../__pycache__/metrics.cpython-310.pyc | Bin 3046 -> 0 bytes case_studies/redshift_estimation/catalog.py | 50 - case_studies/redshift_estimation/commands.txt | 15 - .../redshift_estimation/get_redshift.py | 105 - case_studies/redshift_estimation/metrics.py | 103 - .../redshift_estimation/non_redshift.yaml | 8 - .../AccessingTrainedModelForPrediction.ipynb | 526 --- .../other/CheckingNewPhotometry.ipynb | 1897 ----------- .../notebooks/other/CombinedTruth.ipynb | 1407 -------- .../notebooks/other/DC2&SDSSEvaluation.ipynb | 1057 ------ .../notebooks/other/Evaluation.ipynb | 551 ---- .../other/ReadingTruthParquets.ipynb | 323 -- .../other/RedshiftFromPhotometry.ipynb | 2059 ------------ .../other/RedshiftFromPhotometryRaw.ipynb | 1766 ---------- .../other/SDSS-LikeDataExploration.ipynb | 1004 ------ .../notebooks/other/playground.ipynb | 2010 ------------ .../1-PriorConstruction.ipynb | 682 ---- .../redshift_specific/2-Training.ipynb | 99 - .../redshift_specific/3-Evaluation.ipynb | 369 --- .../tutorials/1-FullPipelineExample.ipynb | 2855 ----------------- .../tutorials/2-ImageGeneration.ipynb | 945 ------ .../notebooks/tutorials/3-Training.ipynb | 139 - .../notebooks/tutorials/4-Prediction.ipynb | 235 -- .../notebooks/tutorials/5-VarDists.ipynb | 1166 ------- case_studies/redshift_estimation/prior.py | 389 --- .../redshift_estimation/redshift.yaml | 78 - .../redshift_estimation/simulated_dataset.py | 247 -- .../redshift_estimation/variational_dist.py | 84 - 29 files changed, 20169 deletions(-) delete mode 100644 case_studies/redshift_estimation/__pycache__/catalog.cpython-310.pyc delete mode 100644 case_studies/redshift_estimation/__pycache__/metrics.cpython-310.pyc delete mode 100644 case_studies/redshift_estimation/catalog.py delete mode 100644 case_studies/redshift_estimation/commands.txt delete mode 100644 case_studies/redshift_estimation/get_redshift.py delete mode 100644 case_studies/redshift_estimation/metrics.py delete mode 100644 case_studies/redshift_estimation/non_redshift.yaml delete mode 100644 case_studies/redshift_estimation/notebooks/other/AccessingTrainedModelForPrediction.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/other/CheckingNewPhotometry.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/other/CombinedTruth.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/other/DC2&SDSSEvaluation.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/other/Evaluation.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/other/ReadingTruthParquets.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometry.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometryRaw.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/other/SDSS-LikeDataExploration.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/other/playground.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/redshift_specific/1-PriorConstruction.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/redshift_specific/2-Training.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/redshift_specific/3-Evaluation.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/tutorials/1-FullPipelineExample.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/tutorials/2-ImageGeneration.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/tutorials/3-Training.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/tutorials/4-Prediction.ipynb delete mode 100644 case_studies/redshift_estimation/notebooks/tutorials/5-VarDists.ipynb delete mode 100644 case_studies/redshift_estimation/prior.py delete mode 100644 case_studies/redshift_estimation/redshift.yaml delete mode 100644 case_studies/redshift_estimation/simulated_dataset.py delete mode 100644 case_studies/redshift_estimation/variational_dist.py diff --git a/case_studies/redshift_estimation/__pycache__/catalog.cpython-310.pyc b/case_studies/redshift_estimation/__pycache__/catalog.cpython-310.pyc deleted file mode 100644 index e65ee2e39ab28139451e726c08bd6ddb9c845e7d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2046 zcmZ`)&2Ah;5bmD;o!xAl*hmCIG$Kf3A*=-f4we;JN(46tgB6qP|pl#-Mz;Oo>qBR^XU zcj3W~cSatQU$%hv7lHQc;2=1G;HI{GPzR?SZiA%&rQE(n79Abd0e9*ScYn1Pq3+f$ z_m*5&_YSVrA@}Pp4{*2kYwJ0YKh6Y_qvSLsL!UCAQ4NZLwahGDcE&z?Mf zvK39lk&scA7D7ek1P)>`1&_uh7sK#U`DtTNZCwh`$Xm>#4Hf4iQZq45C+RrWX<1x3 zHSR1c$LidL3Z4H8V;=2Ag-&1|MJk#`UpxfCy-Ud;nhvO;)A{X2je#0dtrF-g+37hV z0T5{OG&gQqaPeZ^zp{%qjjgKObPA@*N{)pZtef}ug=Q1LEW?l(=8$PXtuk&^K-6$V zXyZ)9u`*sYaOP0rK zYTm;uux6(bwr-5qO3eC2@SqPUk*RntOgDwg6bzsCu?erNn()e)>^8wSo94!al}RaE zU$2P#3>04PY$jzcHV@OdoF{3rxtFC%ZH{9ln9>zbh1!J1(L7})luq*oAfV8+jp6Lr zT!+Y-sw`#L`P3&s0)K-BG^CEzqia^*4ryrhX`ilvv=8!|)*7APy#VD(qZqznalG0% z@Eclc+c@sP2Q&wAKz@hj2`gQ$7OeIkK0G{UcfRo!ANS^V^dfpq2hb(My;zSErqVe; zplC70lB>_7S5!vesmWMNJ_ptW3`#PSjA14fBIXXA-+qg;;f3Pvz{gXF0LDznSYGl9 z%Fj%XvBN6P+8v3V(e&diD~|+UftjQ6qhKJO2Pw z-__1Bb@C%n_+R$10!`b-=h6IdtldVl4e3jez8M@wjq)Z*&PtM2p3X{=Jox~Pe2wHA zBzQ6TEs}TMA446&RG2%wf6r=y8ievgkQh&-MLARL!)_jN^SZA!fFCZgE3wZt*>7E< e(UrS2d2dU<-B#`)CPN|Q1F``qU$Zwp4gUix)Ers> diff --git a/case_studies/redshift_estimation/__pycache__/metrics.cpython-310.pyc b/case_studies/redshift_estimation/__pycache__/metrics.cpython-310.pyc deleted file mode 100644 index 8d7908dfd94e816d9da923ac74d6b7f129ea2daa..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 3046 zcmbVOOLH4V5T2QRN|s$h5s4iLF_1ushkXbX5J)h26dV#ClA8)@YrQkFR#|D~nNXcA9k>V#vRb2cB_%U1x^Hxc zv-_k~IfC6ti)#0-$YdPtMyM};R;fJu2s(naDJO0AgmfsUoIUp2R&i?EE>3GZPl!$0 zF6`~;^?QP=ZrsW4ig0lMU=&KhZ%diVh%Oz$pzlCif%fbMh>ScUJ<8pfM&BEl696H)jqoI)64}y3QXF;GVA?Jb0!c5>a8FjTY7BW?^pRGjF(e8sE zL%FXGsjdV;l!QtJfn0@S|Jm8@rhTz}5Qpiw8+W(&l31zjC{zMA9PwDFZLq<3D-bG+ z`(YNRgYCWvi`p9gECCh7g{Dw6=vnJL9l!lD4{yzFju1HW4*DD)TF=BSZl}#*yJ*U+C&ym_^+{#o*o=`~mku zS6ktpl0N7XZ_%pC*YTg9$&m=6Fw-7*&UAcmU(}5U`x!z1|H*%h8!Y~(Nq|VHCm%hT4!}5?Z3wt@4W=>TgA#3P>`^%u0$s2AQ%2yULG2=+zSXkw}sf{)Ii~ za0>cTq6x@(g~9Z}8sDq0n9&FZj(zAP{3Lb&AuDsEckkSJ!K3p$BC&&6;Os!`1Ct(# zAW8R=_<=~`ZklrG;f@AL73?9#3LDq3*F<5g#b_5MW60lvHm9Eh^lL8J@|Q2H^EHEeccd}pCO;u z2_r~%N?S=9!JjBhglyofRZN~T-Wy@EQrg{3Wj{=`56%vTGToD(z%1kER>h!GZklC% z$dd6OOain1T^uvq?Z+csK@zKYzaN&&#=+Y1LE0K5$q9%X{JjqwDKxCXnpU0G=~-H^ z)c$MSSdP^xgp?n^9!R_ed^V542gqkGW?=K7nOocr%hyT6kQ1LmD|p9%cW0JODXAv6 zjxT-Al`HV$0FhZJsdBNd zD5C0rQs+xBbWR-x)Oqifru{dWj+L+9V8f;IwKK6YhU9?qWltOfcqnJ^VwjgNt0-4J zLm^YZ+;YUlb!AC2C9a$Ug>K?!P}FjF9q7uf+-s5tc3IT?yfUqnbn*|56*hSuj5{(p zsA}jWF@W+N6b3VxNaW`zzCdvi#Vr&Vo|NiUg6DP+UfF9mUruc0gzwlK=1| z>M$LD1I^H(AVGsQXakB>lR~k&^lJZ~LJ);H0xQ;(&dlpWZqhDFJsa z+uT()nYq5ZFlDtR4WI0_+KBR+#?!g}*U^ b (nth ntw s) k", k=k) - indices_for_param = repeat(indices_to_retrieve, "b nth_ntw_s -> b nth_ntw_s k", k=k) - param = torch.gather(param, dim=1, index=indices_for_param) - if param_name in param_names_to_mask: - param = param * is_on_array.unsqueeze(-1) - params[param_name] = param - - params["n_sources"] = reduce(self.n_sources, "b nth ntw -> b", "sum") - return RedshiftFullCatalog(self.height, self.width, params) - - def __repr__(self): - return f"RedshiftTileCatalog({self.batch_size} x {self.n_tiles_h} x {self.n_tiles_w})" - - -class RedshiftFullCatalog(FullCatalog): - allowed_params = RedshiftTileCatalog.allowed_params - - def __repr__(self): - return "RedshiftFullCatalog" diff --git a/case_studies/redshift_estimation/commands.txt b/case_studies/redshift_estimation/commands.txt deleted file mode 100644 index 9721e9687..000000000 --- a/case_studies/redshift_estimation/commands.txt +++ /dev/null @@ -1,15 +0,0 @@ -# For large scale data generation. From within the base project directory (i.e. the parent directory of case_studies), run the following: - -nohup ./scripts/generate_data_in_parallel.sh -n 16 -cp /home/declan/current/bliss/case_studies/redshift_estimation/ -cn redshift.yaml mode=generate &> generate_output.out & - -# For training the encoder. - -nohup bliss -cp /home/declan/current/bliss/case_studies/redshift_estimation/ --config-name redshift.yaml mode=train &> training.out & - - -# SDSS-Like Data - -The commands below will be used to generate SDSS-like data on my branch dm/redshift estimation. We will generate on batch of data with only stars, and one batch of data with only galaxies. We do this by properly loading the priors `RedshiftCSVPrior` for stars and -`RedshiftCSVPrior_Galaxy` for galaxies as the `__target__` in our `redshift.yaml` file, and thereafter running the generation command above. No new command needed per se, I just run the same command above *with appropriate changes to the config*. I'm storing thew SDSS-like stars in `/data/scratch/declan/sdss_like_stars`, and I'm storing the SDSS-like galaxies in `/data/scratch/declan/sdss_like_galaxies`. The SDSS-like galaxies were generated from the model using the `RedshiftCSVPrior_Galaxy` class. - -Now on to training. We hope that things work reasonably well because the training infrastructure is already set. Again, we should simply be able to use the command above. We have to modify the config to tell it where to access the appropriate cached data, in either `/data/scratch/declan/sdss_like_stars` or `/data/scratch/declan/sdss_like_galaxies`. diff --git a/case_studies/redshift_estimation/get_redshift.py b/case_studies/redshift_estimation/get_redshift.py deleted file mode 100644 index 9c80a05d2..000000000 --- a/case_studies/redshift_estimation/get_redshift.py +++ /dev/null @@ -1,105 +0,0 @@ -from astropy.io import fits - -f = fits.open("/home/../data/scratch/specObj-dr17.fits") -import numpy as np - -data = f[1].data - -# # Extract the 'TARGETTYPE' column -# target_types = data['TARGETTYPE'] - -# # Find unique values in the 'TARGETTYPE' column -# unique_target_types = np.unique(target_types) - -# # Print the unique values -# print('Unique TARGETTYPE values:') -# for target_type in unique_target_types: -# print(target_type) -# Apply conditions: -# 'SPECPRIMARY' > 0 -# 'ZWARNING' == 0 or 'ZWARNING' == 16 -condition = (data["SPECPRIMARY"] > 0) & ((data["ZWARNING"] == 0) | (data["ZWARNING"] == 16)) - -# Apply the condition to filter the 'Z' values -filtered_z_values = data["Z"][condition] -filtered_ID = data["SPECOBJID"][condition] - - -import csv - -from astroquery.sdss import SDSS - -# Assuming 'data' contains your initial data with 'SPECOBJID' column -filtered_ID = data["SPECOBJID"][condition] # Assuming you have defined 'condition' somewhere -total_ids = len(filtered_ID) - -# Specify the output CSV file path -output_file_path = "/data/scratch/declan/photometric_data.csv" - - -# Function to write a batch of data to the CSV file -def write_batch_to_csv(data_batch, header=False): - with open(output_file_path, mode="a", newline="") as file: # 'a' mode to append data - writer = csv.writer(file) - if header: - writer.writerow( - [ - "objID", - "u_band", - "g_band", - "r_band", - "i_band", - "z_band", - "redshift", - "source_type", - ] - ) - writer.writerows(data_batch) - - -# Write the header row -write_batch_to_csv([], header=True) - -for start_index in range(0, total_ids, 100): - end_index = min(start_index + 100, total_ids) - objid_list = ",".join([str(int(objid)) for objid in filtered_ID[start_index:end_index]]) - - # Construct the SQL query for the current batch - sql_query = f""" - SELECT - p.objID, p.u, p.g, p.r, p.i, p.z, s.z AS redshift, s.class AS source_type - FROM - PhotoObj AS p - JOIN SpecObj AS s ON p.objID = s.bestObjID - WHERE - s.specObjID IN ({objid_list}) - """ - - try: - photo_data = SDSS.query_sql(sql_query) - if photo_data is not None and len(photo_data) > 0: - # Prepare data batch for CSV writing - data_batch = [] - for row in photo_data: - objID = row["objID"] - u = row["u"] - g = row["g"] - r = row["r"] - i = row["i"] - z = row["z"] - redshift = row["redshift"] - source_type = row["source_type"] - - if (u < 0) or (g < 0) or (r < 0) or (i < 0) or (z < 0) or (redshift < 0): - continue - else: - data_row = [objID, u, g, r, i, z, redshift, source_type] - data_batch.append(data_row) - - # Write the current batch of data to the CSV file - write_batch_to_csv(data_batch) - except Exception as e: - print(f"Failed to query or process data for batch starting at index {start_index}: {e}") - -# Inform the user that the process is complete -print("Data querying and writing complete.") diff --git a/case_studies/redshift_estimation/metrics.py b/case_studies/redshift_estimation/metrics.py deleted file mode 100644 index 0f79b4aa7..000000000 --- a/case_studies/redshift_estimation/metrics.py +++ /dev/null @@ -1,103 +0,0 @@ -import torch -from torchmetrics import Metric - - -class RedshiftMeanSquaredError(Metric): - def __init__(self, **kwargs): - super().__init__(**kwargs) - # self.add_state("preds", default=torch.tensor([]), dist_reduce_fx="cat") - # self.add_state("truth", default=torch.tensor([]), dist_reduce_fx="cat") - self.add_state("sum_squared_error", default=torch.zeros(1), dist_reduce_fx="sum") - self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") - - def update(self, true_cat, est_cat, matching): - for i in range(true_cat.batch_size): - tcat_matches, ecat_matches = matching[i] - self.total += tcat_matches.size(0) - - true_red = true_cat["redshifts"][i][tcat_matches] - est_red = est_cat["redshifts"][i][ecat_matches] - red_err = ((true_red - est_red).abs()** 2).sum() - - self.sum_squared_error += red_err - - def compute(self): - mse = self.sum_squared_error / self.total - return {"Mean squared error": mse.item()} - - -class RedshiftNLL(Metric): - def __init__(self, **kwargs): - super().__init__(**kwargs) - - # self.add_state("preds_loc", default=torch.tensor([]), dist_reduce_fx="cat") - # self.add_state("preds_scale", default=torch.tensor([]), dist_reduce_fx="cat") - # self.add_state("truth", default=torch.tensor([]), dist_reduce_fx="cat") - self.add_state("negative_loglikelihood", default=torch.zeros(1), dist_reduce_fx="sum") - self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") - - def update(self, true_cat, marginal_dist): - - for i in range(true_cat.shape[0]): - #tcat_matches, ecat_matches = matching[i] - #self.total += tcat_matches.size(0) - self.total += true_cat.shape[0] - est_miu = marginal_dist.factors["redshift"].loc[i] - est_sigma = marginal_dist.factors["redshift"].scale[i] - true_miu = true_cat[i, :, :] - distribution = torch.distributions.Normal(est_miu, est_sigma) - nll = -distribution.log_prob(true_miu) - self.negative_loglikelihood += nll.sum() - - - def compute(self): - - nll = self.negative_loglikelihood / self.total - return {"negative loglikelihood": nll.item()} - -class RedshiftCatastrophicErrorRate(Metric): - def __init__(self, **kwargs): - super().__init__(**kwargs) - - self.add_state("catastrophic_errors", default=torch.zeros(1), dist_reduce_fx="sum") - self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") - - def update(self, true_cat, marginal_dist): - for i in range(true_cat.batch_size): - tcat_matches, ecat_matches = matching[i] - self.total += tcat_matches.size(0) - - est_miu = marginal_dist["redshifts"].loc[i][ecat_matches] - est_sigma = marginal_dist["redshifts"].scale[i][ecat_matches] - true_miu = true_cat["redshifts"].loc[i][tcat_matches] - temp = abs(true_miu - est_miu ) > 5 * est_sigma - self.catastrophic_errors += temp.sum() - - - def compute(self): - csr = self.catastrophic_errors.float() / self.total - return {"Catastrophic error rate": csr.item()} - - - - - -# preds = torch.tensor([0.9924, 0.9927, 0.9909, 0.9837, 0.9853, 0.9877]) -# preds_scale = torch.tensor([0.0416, 0.0426, 0.0425, 0.0421, 0.0418, 0.0419]) -# truth = torch.tensor([0.9955, 0.9297, 0.949, 0.9387, 0.9852, 0.9857]) - -# mse_metric = RedshiftMeanSquaredError() -# cer_metric = RedshiftCatastrophicErrorRate(threshold=0.01) # Set your threshold for catastrophic errors -# nll_metric = RedshiftNLL() -# # Update the metrics with the prediction and truth tensors -# mse_metric.update(preds, truth) -# cer_metric.update(preds, truth) -# nll_metric.update(preds, preds_scale, truth) - -# # Compute the metrics -# mse = mse_metric.compute() -# cer = cer_metric.compute() -# nll = nll_metric.compute() -# print(f"Mean Squared Error: {mse.item()}") -# print(f"Catastrophic Error Rate: {cer.item()}") -# print(f"Negative log likelihood: {nll.item()}") diff --git a/case_studies/redshift_estimation/non_redshift.yaml b/case_studies/redshift_estimation/non_redshift.yaml deleted file mode 100644 index 68313e1b4..000000000 --- a/case_studies/redshift_estimation/non_redshift.yaml +++ /dev/null @@ -1,8 +0,0 @@ ---- -defaults: - - ../../bliss/conf@_here_: base_config - - _self_ - - override hydra/job_logging: stdout - -prior: - _target_: bliss.simulator.prior.CatalogPrior diff --git a/case_studies/redshift_estimation/notebooks/other/AccessingTrainedModelForPrediction.ipynb b/case_studies/redshift_estimation/notebooks/other/AccessingTrainedModelForPrediction.ipynb deleted file mode 100644 index 59266b402..000000000 --- a/case_studies/redshift_estimation/notebooks/other/AccessingTrainedModelForPrediction.ipynb +++ /dev/null @@ -1,526 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "d3578c49", - "metadata": {}, - "outputs": [], - "source": [ - "import torch\n", - "import numpy as np\n", - "import math\n", - "import os\n", - "import pytorch_lightning as pl\n", - "import torch\n", - "from hydra.utils import instantiate" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "33c107e3", - "metadata": {}, - "outputs": [], - "source": [ - "from os import environ\n", - "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", - "\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from bliss.main import predict\n", - "\n", - "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d390d81b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/home/declan/current/bliss'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "os.environ[\"BLISS_HOME\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "1e9e36fa", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/home/declan/current/bliss/case_studies/redshift_estimation/notebooks'" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "os.getcwd()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "449342fe", - "metadata": {}, - "outputs": [], - "source": [ - "with initialize(config_path=\"../\", version_base=None):\n", - " cfg = compose(\"redshift\", {\n", - " \"predict.weight_save_path=/home/declan/current/bliss/redshift_output/version_4/checkpoints/best_encoder.ckpt\"\n", - " })" - ] - }, - { - "cell_type": "markdown", - "id": "d2b0ca8c", - "metadata": {}, - "source": [ - "We'd really like to call the `predict` function from `bliss.main` here. Still working on getting that going. In the meantime, we can \"initialize\" an encoder using the config `redshift.yaml` and load the weights manually like so. The cell below will take a while as I still have it loading all of the data, which probably overkill." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "22d6cdcd", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Global seed set to 42\n" - ] - } - ], - "source": [ - "pl.seed_everything(cfg.train.seed)\n", - "\n", - "# setup dataset and encoder\n", - "# taken from train in main.py\n", - "dataset = instantiate(cfg.train.data_source)\n", - "encoder = instantiate(cfg.train.encoder)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "c518fbb2", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "bliss.simulator.simulated_dataset.CachedSimulatedDataset" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(dataset)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "e81013e5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "bliss.encoder.encoder.Encoder" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(encoder)" - ] - }, - { - "cell_type": "markdown", - "id": "6248e808", - "metadata": {}, - "source": [ - "We'll access the test Dataloader that CachedSimulatedDataset can construct for us." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "be126110", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.utils.data.dataloader.DataLoader" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_dataloader = dataset.test_dataloader()\n", - "type(test_dataloader)" - ] - }, - { - "cell_type": "markdown", - "id": "d1e37761", - "metadata": {}, - "source": [ - "Let's access some observations from the test dataloader." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "c76e0cac", - "metadata": {}, - "outputs": [], - "source": [ - "observation = next(iter(test_dataloader))" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "5534a7db", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['images', 'background', 'deconvolution', 'psf_params', 'tile_catalog'])" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "observation.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "0eadca65", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([32, 5, 80, 80])" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "observation['images'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "1aec4326", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "observation['tile_catalog'].keys()" - ] - }, - { - "cell_type": "markdown", - "id": "9161e25e", - "metadata": {}, - "source": [ - "Let's use the untrained encoder for prediction (it should perform very badly). " - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "a5d44a88", - "metadata": {}, - "outputs": [], - "source": [ - "est_cat = encoder.sample(observation, use_mode=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "75206f21", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'star_fluxes', 'source_type', 'galaxy_params', 'galaxy_fluxes', 'redshifts'])" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est_cat = est_cat.to_dict()\n", - "est_cat.keys()" - ] - }, - { - "cell_type": "markdown", - "id": "3a5db8cc", - "metadata": {}, - "source": [ - "When `observation` is passed to `encoder`, the encoder ignores the ground truth `observation['tile_catalog']` to make the prediction obviously. But now we can compare the prediction to the ground truth." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "d3d20670", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[ 0.0200, -0.0500, -0.0300, -0.0900, 0.0300, 0.1700, -0.3000, 0.2500,\n", - " 0.0400, -0.0200, 0.0800, 0.0000, 0.0400, -0.1400, -0.1800, -0.0900,\n", - " 0.0100, -0.1600],\n", - " [-0.0300, -0.0200, 0.0500, 0.0100, -0.0600, 0.0300, -0.1800, -1.0200,\n", - " 0.4100, 0.1600, -0.0100, 0.1900, 0.1600, 0.2200, -0.0300, -0.4300,\n", - " 0.2100, 0.2200],\n", - " [-0.0300, -0.0500, -0.0800, -0.0200, -0.0500, 0.2100, -0.1500, 0.0200,\n", - " 0.1400, 0.3500, 0.0900, 0.4000, 0.1000, 0.0700, 0.1900, 0.1200,\n", - " 0.1900, -0.1800],\n", - " [-0.0300, -0.0300, 0.0300, 0.2100, 0.6000, -1.5300, -0.1200, 0.2800,\n", - " -0.5500, -0.3900, -0.0900, -0.0000, 0.1200, 0.1100, -0.1700, 0.1700,\n", - " -0.0400, 0.0400],\n", - " [-0.0200, -0.0200, 0.0500, -0.0700, 0.0900, -0.4200, -0.2400, -0.4900,\n", - " -0.5500, 0.0300, -0.1300, -0.1500, -0.4700, -0.3700, 0.1900, 0.0300,\n", - " -0.1400, 0.1300],\n", - " [-0.0000, -0.0200, -0.1100, -0.0200, -0.1400, 0.0300, 0.2700, 0.1600,\n", - " -0.5400, -0.2600, -0.1900, -0.1400, -0.1900, -0.0200, 0.2300, -0.1000,\n", - " -0.2500, 0.2500],\n", - " [-0.0600, 0.0100, -0.0500, 0.1100, 0.1000, -0.0900, -0.0600, -0.0700,\n", - " -0.1400, -0.1800, -0.2000, -0.1300, -0.0800, 0.2100, 0.2000, 0.0900,\n", - " 0.3200, 0.1500],\n", - " [-0.0900, -0.0400, -0.1000, 0.0300, 0.0500, 0.0400, 0.2600, 0.1600,\n", - " 0.0100, 0.1000, 0.0200, 0.0700, -0.0200, 0.0900, -0.1900, 0.1000,\n", - " -0.0300, 0.0100],\n", - " [ 0.0600, -0.0500, 0.1000, 0.1700, 0.2200, 0.0500, 0.1400, 0.2300,\n", - " 0.1800, 0.1100, 0.0300, 0.1100, 0.0100, -0.0900, 0.2900, 0.5100,\n", - " -0.9700, -1.7700],\n", - " [ 0.3300, 0.0200, -0.5800, -0.6800, 0.5900, 0.0400, -0.2000, 0.0200,\n", - " 0.1500, 0.1900, 0.0800, -0.0400, 0.0200, -0.1400, -0.0700, -0.8300,\n", - " -0.2900, 0.1500],\n", - " [-1.2300, -1.2000, -1.5100, -0.7400, 1.2100, 0.5400, 0.0700, -0.0500,\n", - " -0.1900, 0.0900, 0.2000, -0.0000, -0.1000, -0.3100, 0.1300, 0.0700,\n", - " -1.8300, 1.5800],\n", - " [-1.8400, 1.6000, -1.9500, -1.9600, 1.4200, 0.8600, -0.0700, 0.1800,\n", - " 0.1100, 0.0200, 0.0700, 0.1400, 0.0100, -0.2100, -0.1000, -0.4500,\n", - " -0.2400, 0.2800],\n", - " [ 0.2600, -0.9600, -0.6300, 1.2100, -1.0600, 0.3700, -0.0700, 0.0800,\n", - " -0.6100, 0.2100, 0.2500, 0.0200, -0.0400, 0.3500, -0.4800, -0.7400,\n", - " 0.2700, -0.1400],\n", - " [ 0.3000, -0.9700, 1.4500, -6.7300, -1.4900, 1.7200, 0.4700, -0.5400,\n", - " 0.5700, 0.2500, -0.0300, -0.0200, -0.3000, -0.2000, -0.4300, -0.7900,\n", - " 0.4700, 0.1200],\n", - " [ 2.4400, -0.3900, -1.7800, -3.4900, -1.5600, -1.0000, -1.0300, 0.0600,\n", - " -0.0400, 0.2400, 0.0500, 0.0300, 0.1500, -0.0700, -0.5500, -1.1000,\n", - " -0.4700, -0.5000],\n", - " [ 0.3300, 1.0000, 1.0500, -0.3500, -0.7600, 1.0300, -0.8200, 0.2300,\n", - " -0.1100, 0.5000, 0.1400, -0.0600, -0.0500, 0.0400, -0.0500, -0.3100,\n", - " 0.6500, -0.0500],\n", - " [-0.5800, -0.7400, 0.1200, -1.9400, -3.4400, -0.3100, 0.0300, -0.3200,\n", - " -0.2000, 0.2900, -0.0600, 0.0500, 0.0500, 0.1400, 0.0200, 0.3100,\n", - " -0.2300, -0.0100],\n", - " [ 0.4300, -0.1100, 0.5700, 0.1200, -0.4100, 0.7800, 0.1100, 0.0500,\n", - " 0.4500, 0.1300, 0.0300, 0.0100, -0.0400, -0.1400, -0.0300, -0.0100,\n", - " -0.1200, -0.0400]], grad_fn=)" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est_cat['redshifts'].shape # 32 x 18 x 18 x1\n", - "torch.round(est_cat['redshifts'][0].reshape(18,18), decimals=2)" - ] - }, - { - "cell_type": "markdown", - "id": "3a4e84a4", - "metadata": {}, - "source": [ - "So it does terribly as expected. But we can load the weights and it should perform much better." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "e4d481d2", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PATH = \"/home/declan/current/bliss/redshift_output/version_4/checkpoints/best_encoder.ckpt\"\n", - "checkpoint = torch.load(PATH)\n", - "encoder.load_state_dict(checkpoint['state_dict'])" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "19bd208e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[0.9982, 0.9962, 0.9970, 0.9988, 0.9977, 0.9975, 0.9971, 0.9983, 0.9974,\n", - " 0.9973, 0.9973, 0.9974, 0.9984, 0.9986, 0.9977, 0.9977, 0.9970, 0.9980],\n", - " [0.9979, 0.9983, 0.9976, 0.9972, 0.9979, 0.9978, 0.9978, 0.9989, 0.9975,\n", - " 0.9980, 0.9979, 0.9969, 0.9979, 0.9986, 0.9974, 0.9984, 0.9970, 0.9981],\n", - " [0.9979, 0.9978, 0.9983, 0.9990, 0.9984, 0.9973, 0.9957, 0.9974, 0.9980,\n", - " 0.9982, 0.9978, 0.9969, 0.9972, 0.9970, 0.9978, 0.9979, 0.9971, 0.9978],\n", - " [0.9989, 0.9989, 0.9980, 0.9976, 0.9974, 0.9964, 0.9979, 0.9972, 0.9977,\n", - " 0.9989, 0.9977, 0.9978, 0.9993, 0.9972, 0.9973, 0.9965, 0.9977, 0.9979],\n", - " [0.9985, 0.9983, 0.9980, 0.9985, 0.9977, 0.9982, 0.9981, 0.9974, 0.9977,\n", - " 0.9983, 0.9983, 0.9978, 0.9972, 0.9980, 0.9989, 0.9967, 0.9975, 0.9988],\n", - " [0.9972, 0.9976, 0.9976, 0.9987, 0.9972, 0.9974, 0.9970, 0.9974, 0.9981,\n", - " 0.9997, 0.9981, 0.9978, 0.9972, 0.9978, 0.9985, 0.9972, 0.9974, 0.9972],\n", - " [0.9973, 0.9978, 0.9976, 0.9968, 0.9966, 0.9964, 0.9993, 0.9981, 0.9982,\n", - " 0.9979, 0.9984, 0.9978, 0.9973, 0.9973, 0.9972, 1.0003, 0.9970, 0.9987],\n", - " [0.9964, 0.9973, 0.9974, 0.9982, 0.9973, 0.9981, 0.9982, 0.9994, 0.9977,\n", - " 0.9983, 0.9978, 0.9980, 0.9981, 0.9985, 0.9991, 0.9984, 0.9995, 0.9987],\n", - " [0.9964, 0.9981, 0.9972, 0.9973, 0.9968, 0.9979, 0.9975, 0.9961, 0.9971,\n", - " 0.9983, 0.9975, 0.9973, 0.9983, 0.9990, 0.9978, 0.9986, 0.9984, 0.9983],\n", - " [0.9982, 0.9990, 0.9974, 0.9999, 0.9982, 0.9990, 0.9987, 0.9986, 0.9994,\n", - " 0.9988, 0.9980, 0.9984, 1.0002, 1.0003, 0.9991, 0.9988, 0.9982, 0.9965],\n", - " [0.9983, 0.9980, 0.9981, 0.9982, 0.9986, 0.9982, 0.9981, 0.9983, 1.0002,\n", - " 0.9996, 0.9987, 0.9992, 0.9999, 0.9997, 0.9998, 0.9979, 0.9997, 0.9986],\n", - " [1.0001, 0.9981, 0.9975, 0.9992, 0.9992, 0.9986, 0.9997, 0.9989, 0.9999,\n", - " 0.9990, 0.9991, 0.9998, 0.9987, 0.9985, 0.9991, 0.9986, 0.9981, 0.9988],\n", - " [0.9977, 0.9986, 0.9986, 1.0004, 0.9982, 0.9980, 0.9995, 0.9991, 1.0005,\n", - " 1.0010, 0.9991, 0.9986, 0.9990, 0.9986, 0.9982, 0.9987, 0.9988, 0.9990],\n", - " [0.9992, 0.9958, 0.9978, 0.9975, 0.9984, 0.9997, 0.9986, 0.9986, 0.9989,\n", - " 0.9984, 0.9987, 0.9982, 0.9980, 0.9977, 0.9989, 0.9981, 0.9991, 0.9988],\n", - " [0.9989, 0.9982, 0.9983, 0.9985, 0.9984, 0.9989, 0.9989, 0.9989, 0.9989,\n", - " 0.9988, 0.9983, 0.9988, 0.9980, 0.9983, 0.9985, 0.9986, 0.9986, 0.9984],\n", - " [0.9983, 0.9978, 0.9976, 0.9974, 0.9979, 0.9981, 0.9978, 0.9986, 0.9981,\n", - " 0.9983, 0.9980, 0.9976, 0.9977, 0.9979, 0.9985, 0.9974, 0.9975, 0.9986],\n", - " [0.9987, 0.9994, 0.9975, 0.9978, 1.0003, 0.9980, 0.9976, 0.9979, 0.9980,\n", - " 1.0004, 0.9982, 0.9979, 0.9978, 0.9981, 0.9972, 0.9974, 0.9977, 0.9986],\n", - " [0.9986, 0.9972, 0.9985, 1.0002, 0.9991, 0.9983, 0.9977, 0.9975, 0.9975,\n", - " 0.9983, 0.9979, 0.9966, 0.9969, 0.9968, 0.9970, 0.9980, 0.9976, 0.9987]],\n", - " grad_fn=)" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est_cat = encoder.sample(observation, use_mode=True)\n", - "est_cat = est_cat.to_dict()\n", - "torch.round(est_cat['redshifts'][0].reshape(18,18), decimals=4)" - ] - }, - { - "cell_type": "markdown", - "id": "efabe286", - "metadata": {}, - "source": [ - "Looking pretty good!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fb6e9640", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/other/CheckingNewPhotometry.ipynb b/case_studies/redshift_estimation/notebooks/other/CheckingNewPhotometry.ipynb deleted file mode 100644 index 38d727347..000000000 --- a/case_studies/redshift_estimation/notebooks/other/CheckingNewPhotometry.ipynb +++ /dev/null @@ -1,1897 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "763ee37c", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import math\n", - "import os\n", - "import sys\n", - "sys.path.append(\"../\")" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "5c800ef2", - "metadata": {}, - "outputs": [], - "source": [ - "import hydra\n", - "from hydra.utils import instantiate\n", - "from omegaconf import DictConfig, OmegaConf\n", - "from hydra import compose, initialize" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "22c4cea3", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_434630/400310818.py:1: UserWarning: \n", - "The version_base parameter is not specified.\n", - "Please specify a compatability version level, or None.\n", - "Will assume defaults for version 1.1\n", - " initialize(config_path=\"../\")\n" - ] - } - ], - "source": [ - "initialize(config_path=\"../\")\n", - "cfg = compose(config_name=\"redshift\")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "f06f0098", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'paths': {'root': '${oc.env:BLISS_HOME}', 'data': '${paths.root}/data', 'sdss': '${paths.data}/sdss', 'decals': '${paths.data}/decals', 'des': '${paths.data}/des', 'dc2': '${paths.data}/dc2', 'output': '${paths.root}/redshift_output', 'pretrained_models': '${paths.data}/pretrained_models'}, 'prior': {'_target_': 'case_studies.redshift_estimation.prior.RedshiftCSVPriorDC2', 'survey_bands': ['u', 'g', 'r', 'i', 'z'], 'reference_band': 2, 'star_color_model_path': '${simulator.survey.dir_path}/color_models/star_gmm_nmgy.pkl', 'gal_color_model_path': '${simulator.survey.dir_path}/color_models/gal_gmm_nmgy.pkl', 'n_tiles_h': 20, 'n_tiles_w': 20, 'tile_slen': 4, 'batch_size': 64, 'max_sources': 1, 'mean_sources': 0.2, 'min_sources': 0, 'prob_galaxy': 0.72, 'star_flux_exponent': 0.43, 'star_flux_truncation': 640, 'star_flux_loc': 0.0, 'star_flux_scale': 0.63094948, 'galaxy_flux_truncation': 1013, 'galaxy_flux_exponent': 0.47, 'galaxy_flux_scale': 0.6301037, 'galaxy_flux_loc': 0.0, 'galaxy_a_concentration': 0.39330758068481686, 'galaxy_a_loc': 0.8371888967872619, 'galaxy_a_scale': 4.432725319432478, 'galaxy_a_bd_ratio': 2.0}, 'simulator': {'_target_': 'case_studies.redshift_estimation.simulated_dataset.RedshiftSimulatedDataset', 'survey': '${surveys.sdss}', 'prior': '${prior}', 'n_batches': 128, 'use_coaddition': False, 'coadd_depth': 1, 'num_workers': 32, 'valid_n_batches': 10, 'fix_validation_set': True}, 'cached_simulator': {'_target_': 'case_studies.redshift_estimation.simulated_dataset.RedshiftCachedSimulatedDataset', 'batch_size': 32, 'splits': '0:80/80:90/90:100', 'num_workers': 0, 'cached_data_path': '/data/scratch/declan/sdss_like_stars_test', 'file_prefix': '${generate.file_prefix}'}, 'encoder': {'_target_': 'bliss.encoder.encoder.Encoder', 'survey_bands': ['u', 'g', 'r', 'i', 'z'], 'tile_slen': '${simulator.prior.tile_slen}', 'tiles_to_crop': 1, 'min_flux_threshold': 0, 'optimizer_params': {'lr': 0.0001}, 'scheduler_params': {'milestones': [32], 'gamma': 0.1}, 'image_normalizer': {'_target_': 'bliss.encoder.image_normalizer.ImageNormalizer', 'bands': [0, 1, 2, 3, 4], 'include_original': False, 'use_deconv_channel': False, 'concat_psf_params': False, 'num_psf_params': 6, 'log_transform_stdevs': [-3, 0, 1, 3], 'use_clahe': True, 'clahe_min_stdev': 200}, 'vd_spec': {'_target_': 'case_studies.redshift_estimation.variational_dist.RedshiftVariationalDistSpec', 'survey_bands': '${encoder.survey_bands}', 'tile_slen': '${encoder.tile_slen}'}, 'matcher': {'_target_': 'bliss.encoder.metrics.CatalogMatcher', 'dist_slack': 1.0, 'mag_slack': None, 'mag_band': 2}, 'metrics': {'_target_': 'torchmetrics.MetricCollection', 'metrics': [{'_target_': 'bliss.encoder.metrics.DetectionPerformance', 'mag_bin_cutoffs': [19, 19.4, 19.8, 20.2, 20.6, 21, 21.4, 21.8]}, {'_target_': 'bliss.encoder.metrics.SourceTypeAccuracy'}, {'_target_': 'bliss.encoder.metrics.FluxError', 'survey_bands': '${encoder.survey_bands}'}, {'_target_': 'bliss.encoder.metrics.GalaxyShapeError'}, {'_target_': 'case_studies.redshift_estimation.metrics.RedshiftMeanSquaredError'}]}, 'do_data_augmentation': False, 'compile_model': False, 'double_detect': False, 'use_checkerboard': False, 'marginal_metrics': {'_target_': 'torchmetrics.MetricCollection', 'metrics': [{'_target_': 'case_studies.redshift_estimation.metrics.RedshiftNLL'}]}}, 'surveys': {'sdss': {'_target_': 'bliss.surveys.sdss.SloanDigitalSkySurvey', 'dir_path': '${paths.sdss}', 'fields': [{'run': 94, 'camcol': 1, 'fields': [12]}], 'psf_config': {'pixel_scale': 0.396, 'psf_slen': 25}, 'pixel_shift': 2, 'align_to_band': None, 'load_image_data': False}, 'decals': {'_target_': 'bliss.surveys.decals.DarkEnergyCameraLegacySurvey', 'dir_path': '${paths.decals}', 'sky_coords': [{'ra': 336.6643042496718, 'dec': -0.9316385797930247}], 'bands': [0, 1, 3], 'psf_config': {'pixel_scale': 0.262, 'psf_slen': 63}, 'pixel_shift': 2}, 'des': {'_target_': 'bliss.surveys.des.DarkEnergySurvey', 'dir_path': '${paths.des}', 'image_ids': [{'sky_coord': {'ra': 336.6643042496718, 'dec': -0.9316385797930247}, 'decals_brickname': '3366m010', 'ccdname': 'S28', 'g': 'decam/CP/V4.8.2a/CP20171108/c4d_171109_002003_ooi_g_ls9', 'r': 'decam/CP/V4.8.2a/CP20170926/c4d_170927_025457_ooi_r_ls9', 'i': '', 'z': 'decam/CP/V4.8.2a/CP20170926/c4d_170927_025655_ooi_z_ls9'}], 'psf_config': {'pixel_scale': 0.262, 'psf_slen': 63}, 'pixel_shift': 2}, 'dc2': {'_target_': 'bliss.surveys.dc2.DC2', 'data_dir': '/nfs/turbo/lsa-regier/lsstdesc-public/dc2/run2.2i-dr6-v4/coadd-t3828-t3829/deepCoadd-results/', 'cat_path': '${paths.dc2}/merged_catalog/merged_catalog_psf_100.pkl', 'batch_size': 64, 'n_split': 50, 'image_lim': [4000, 4000], 'use_deconv_channel': '${encoder.image_normalizer.use_deconv_channel}', 'deconv_path': '${paths.dc2}/coadd_deconv_image'}}, 'mode': 'train', 'generate': {'n_image_files': 16, 'n_batches_per_file': 16, 'simulator': '${simulator}', 'cached_data_path': '/data/scratch/declan/sdss_like_stars_test', 'file_prefix': 'dataset'}, 'train': {'trainer': {'_target_': 'pytorch_lightning.Trainer', 'logger': {'_target_': 'pytorch_lightning.loggers.TensorBoardLogger', 'save_dir': '${paths.output}', 'name': None, 'version': None, 'default_hp_metric': False}, 'callbacks': [{'_target_': 'pytorch_lightning.callbacks.ModelCheckpoint', 'filename': 'best_encoder', 'save_top_k': 1, 'verbose': True, 'monitor': 'val/_loss', 'mode': 'min', 'save_on_train_epoch_end': False, 'auto_insert_metric_name': False}, {'_target_': 'pytorch_lightning.callbacks.early_stopping.EarlyStopping', 'monitor': 'val/_loss', 'mode': 'min', 'patience': 5}], 'reload_dataloaders_every_n_epochs': 0, 'check_val_every_n_epoch': 1, 'log_every_n_steps': 10, 'min_epochs': 1, 'max_epochs': 50, 'accelerator': 'gpu', 'devices': 1, 'precision': 32}, 'data_source': '${cached_simulator}', 'encoder': '${encoder}', 'seed': 42, 'pretrained_weights': None, 'testing': True}, 'predict': {'dataset': '${cached_test_data}', 'trainer': {'_target_': 'pytorch_lightning.Trainer', 'accelerator': 'gpu', 'precision': '${train.trainer.precision}'}, 'encoder': '${encoder}', 'weight_save_path': '${paths.pretrained_models}/clahed_logged_20percent.pt', 'device': 'cuda:0'}, 'cached_test_data': {'_target_': 'case_studies.redshift_estimation.simulated_dataset.RedshiftCachedSimulatedDataset', 'batch_size': 32, 'splits': '0:80/80:90/90:100', 'num_workers': 0, 'file_prefix': '${generate.file_prefix}', 'cached_data_path': '/data/scratch/declan/redshift_estimation_test'}}" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "14f94788", - "metadata": {}, - "outputs": [], - "source": [ - "from prior import RedshiftCSVPrior, RedshiftCSVPrior_Galaxy" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "caaa3989", - "metadata": {}, - "outputs": [], - "source": [ - "prior = instantiate(cfg.prior)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "7d80bb48", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "RedshiftCSVPriorDC2()" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prior" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "89581392", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(4997011, 6)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prior.array.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "7b3f8c51", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[22.014378 , 22.033897 , 21.895718 , 21.532824 , 20.94055 ,\n", - " 1.05046761],\n", - " [25.985275 , 23.581322 , 21.95734 , 21.127697 , 20.71355 ,\n", - " 0.47481865],\n", - " [26.081638 , 25.313074 , 24.188148 , 23.109 , 22.825487 ,\n", - " 0.75903624],\n", - " ...,\n", - " [28.095345 , 27.383465 , 26.413202 , 26.130325 , 25.965738 ,\n", - " 0.37952736],\n", - " [31.107662 , 29.861511 , 28.73441 , 28.38335 , 28.19191 ,\n", - " 0.37748224],\n", - " [30.861557 , 29.379656 , 28.16287 , 27.715698 , 27.474178 ,\n", - " 0.36802971]])" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prior.array" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "9cd4f3a3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([16.341553 , 14.668148 , 13.8270035 , 13.429898 , 13.140575 ,\n", - " 0.01844881])" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prior.array.min(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1daadf54", - "metadata": {}, - "outputs": [], - "source": [ - "prior" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "4dc8a665", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[[[[0.3372]],\n", - "\n", - " [[1.3037]],\n", - "\n", - " [[1.2365]],\n", - "\n", - " ...,\n", - "\n", - " [[0.8645]],\n", - "\n", - " [[0.9428]],\n", - "\n", - " [[1.2292]]],\n", - "\n", - "\n", - " [[[2.5716]],\n", - "\n", - " [[1.5569]],\n", - "\n", - " [[0.4116]],\n", - "\n", - " ...,\n", - "\n", - " [[1.1364]],\n", - "\n", - " [[0.5853]],\n", - "\n", - " [[0.6994]]],\n", - "\n", - "\n", - " [[[1.7522]],\n", - "\n", - " [[1.4985]],\n", - "\n", - " [[1.5177]],\n", - "\n", - " ...,\n", - "\n", - " [[2.5074]],\n", - "\n", - " [[0.6981]],\n", - "\n", - " [[2.5038]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[0.6654]],\n", - "\n", - " [[1.8278]],\n", - "\n", - " [[0.9076]],\n", - "\n", - " ...,\n", - "\n", - " [[1.1459]],\n", - "\n", - " [[0.7400]],\n", - "\n", - " [[1.9314]]],\n", - "\n", - "\n", - " [[[1.4267]],\n", - "\n", - " [[1.9001]],\n", - "\n", - " [[2.2045]],\n", - "\n", - " ...,\n", - "\n", - " [[0.9747]],\n", - "\n", - " [[1.5133]],\n", - "\n", - " [[1.2036]]],\n", - "\n", - "\n", - " [[[1.1604]],\n", - "\n", - " [[2.1546]],\n", - "\n", - " [[0.3268]],\n", - "\n", - " ...,\n", - "\n", - " [[2.5929]],\n", - "\n", - " [[0.9770]],\n", - "\n", - " [[1.3648]]]],\n", - "\n", - "\n", - "\n", - " [[[[1.5618]],\n", - "\n", - " [[1.9703]],\n", - "\n", - " [[0.7835]],\n", - "\n", - " ...,\n", - "\n", - " [[1.5372]],\n", - "\n", - " [[1.4585]],\n", - "\n", - " [[0.7943]]],\n", - "\n", - "\n", - " [[[2.8588]],\n", - "\n", - " [[1.2035]],\n", - "\n", - " [[2.8071]],\n", - "\n", - " ...,\n", - "\n", - " [[1.0391]],\n", - "\n", - " [[1.0945]],\n", - "\n", - " [[0.6977]]],\n", - "\n", - "\n", - " [[[0.5181]],\n", - "\n", - " [[0.6037]],\n", - "\n", - " [[1.4120]],\n", - "\n", - " ...,\n", - "\n", - " [[2.9385]],\n", - "\n", - " [[1.4245]],\n", - "\n", - " [[0.9685]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[2.4641]],\n", - "\n", - " [[1.5717]],\n", - "\n", - " [[2.1162]],\n", - "\n", - " ...,\n", - "\n", - " [[0.9114]],\n", - "\n", - " [[1.3554]],\n", - "\n", - " [[0.8680]]],\n", - "\n", - "\n", - " [[[3.0244]],\n", - "\n", - " [[0.3398]],\n", - "\n", - " [[1.6628]],\n", - "\n", - " ...,\n", - "\n", - " [[0.8149]],\n", - "\n", - " [[1.2732]],\n", - "\n", - " [[0.6329]]],\n", - "\n", - "\n", - " [[[1.2542]],\n", - "\n", - " [[1.7253]],\n", - "\n", - " [[0.3991]],\n", - "\n", - " ...,\n", - "\n", - " [[2.3831]],\n", - "\n", - " [[2.2890]],\n", - "\n", - " [[0.4513]]]],\n", - "\n", - "\n", - "\n", - " [[[[0.5020]],\n", - "\n", - " [[0.9590]],\n", - "\n", - " [[2.5418]],\n", - "\n", - " ...,\n", - "\n", - " [[1.7559]],\n", - "\n", - " [[2.7491]],\n", - "\n", - " [[0.6631]]],\n", - "\n", - "\n", - " [[[0.8693]],\n", - "\n", - " [[2.0699]],\n", - "\n", - " [[1.9366]],\n", - "\n", - " ...,\n", - "\n", - " [[0.9654]],\n", - "\n", - " [[0.7635]],\n", - "\n", - " [[1.8904]]],\n", - "\n", - "\n", - " [[[1.0461]],\n", - "\n", - " [[1.1964]],\n", - "\n", - " [[2.3629]],\n", - "\n", - " ...,\n", - "\n", - " [[0.5902]],\n", - "\n", - " [[2.4011]],\n", - "\n", - " [[0.9389]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[1.4229]],\n", - "\n", - " [[1.8228]],\n", - "\n", - " [[1.1433]],\n", - "\n", - " ...,\n", - "\n", - " [[0.6889]],\n", - "\n", - " [[1.3220]],\n", - "\n", - " [[1.1331]]],\n", - "\n", - "\n", - " [[[2.1100]],\n", - "\n", - " [[0.4447]],\n", - "\n", - " [[0.6996]],\n", - "\n", - " ...,\n", - "\n", - " [[1.0898]],\n", - "\n", - " [[0.7685]],\n", - "\n", - " [[0.5412]]],\n", - "\n", - "\n", - " [[[0.8782]],\n", - "\n", - " [[1.0565]],\n", - "\n", - " [[1.0701]],\n", - "\n", - " ...,\n", - "\n", - " [[1.9520]],\n", - "\n", - " [[0.7669]],\n", - "\n", - " [[2.2142]]]],\n", - "\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - "\n", - " [[[[2.0847]],\n", - "\n", - " [[1.0303]],\n", - "\n", - " [[0.7605]],\n", - "\n", - " ...,\n", - "\n", - " [[0.7055]],\n", - "\n", - " [[2.7377]],\n", - "\n", - " [[1.3639]]],\n", - "\n", - "\n", - " [[[1.4367]],\n", - "\n", - " [[0.8949]],\n", - "\n", - " [[1.6246]],\n", - "\n", - " ...,\n", - "\n", - " [[0.8128]],\n", - "\n", - " [[2.3345]],\n", - "\n", - " [[0.8931]]],\n", - "\n", - "\n", - " [[[1.2613]],\n", - "\n", - " [[0.7717]],\n", - "\n", - " [[1.0460]],\n", - "\n", - " ...,\n", - "\n", - " [[0.8203]],\n", - "\n", - " [[1.5099]],\n", - "\n", - " [[2.3326]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[2.3750]],\n", - "\n", - " [[0.8227]],\n", - "\n", - " [[1.4968]],\n", - "\n", - " ...,\n", - "\n", - " [[1.1656]],\n", - "\n", - " [[1.2883]],\n", - "\n", - " [[0.3282]]],\n", - "\n", - "\n", - " [[[2.6408]],\n", - "\n", - " [[1.6428]],\n", - "\n", - " [[2.1592]],\n", - "\n", - " ...,\n", - "\n", - " [[0.9950]],\n", - "\n", - " [[0.8740]],\n", - "\n", - " [[2.0539]]],\n", - "\n", - "\n", - " [[[2.2785]],\n", - "\n", - " [[1.5822]],\n", - "\n", - " [[0.3106]],\n", - "\n", - " ...,\n", - "\n", - " [[0.9797]],\n", - "\n", - " [[0.8328]],\n", - "\n", - " [[1.0386]]]],\n", - "\n", - "\n", - "\n", - " [[[[2.4739]],\n", - "\n", - " [[1.2574]],\n", - "\n", - " [[0.4597]],\n", - "\n", - " ...,\n", - "\n", - " [[1.1312]],\n", - "\n", - " [[1.7197]],\n", - "\n", - " [[1.6426]]],\n", - "\n", - "\n", - " [[[1.6770]],\n", - "\n", - " [[2.0462]],\n", - "\n", - " [[0.8925]],\n", - "\n", - " ...,\n", - "\n", - " [[0.6082]],\n", - "\n", - " [[1.3485]],\n", - "\n", - " [[0.5955]]],\n", - "\n", - "\n", - " [[[2.8150]],\n", - "\n", - " [[0.8235]],\n", - "\n", - " [[1.1644]],\n", - "\n", - " ...,\n", - "\n", - " [[0.8871]],\n", - "\n", - " [[1.3088]],\n", - "\n", - " [[0.4239]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[2.2069]],\n", - "\n", - " [[1.6184]],\n", - "\n", - " [[1.0677]],\n", - "\n", - " ...,\n", - "\n", - " [[1.1710]],\n", - "\n", - " [[1.7417]],\n", - "\n", - " [[2.0988]]],\n", - "\n", - "\n", - " [[[1.0902]],\n", - "\n", - " [[0.6661]],\n", - "\n", - " [[1.2278]],\n", - "\n", - " ...,\n", - "\n", - " [[1.1730]],\n", - "\n", - " [[2.1182]],\n", - "\n", - " [[1.9140]]],\n", - "\n", - "\n", - " [[[0.6555]],\n", - "\n", - " [[0.5472]],\n", - "\n", - " [[1.2579]],\n", - "\n", - " ...,\n", - "\n", - " [[0.7996]],\n", - "\n", - " [[2.9633]],\n", - "\n", - " [[0.6687]]]],\n", - "\n", - "\n", - "\n", - " [[[[0.9709]],\n", - "\n", - " [[1.1085]],\n", - "\n", - " [[0.8485]],\n", - "\n", - " ...,\n", - "\n", - " [[0.7481]],\n", - "\n", - " [[0.9643]],\n", - "\n", - " [[1.0218]]],\n", - "\n", - "\n", - " [[[2.0612]],\n", - "\n", - " [[1.3066]],\n", - "\n", - " [[1.7437]],\n", - "\n", - " ...,\n", - "\n", - " [[1.5774]],\n", - "\n", - " [[1.3188]],\n", - "\n", - " [[2.4192]]],\n", - "\n", - "\n", - " [[[1.7111]],\n", - "\n", - " [[0.9635]],\n", - "\n", - " [[1.4123]],\n", - "\n", - " ...,\n", - "\n", - " [[0.8521]],\n", - "\n", - " [[2.7062]],\n", - "\n", - " [[1.0756]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[0.8858]],\n", - "\n", - " [[1.9734]],\n", - "\n", - " [[1.9763]],\n", - "\n", - " ...,\n", - "\n", - " [[0.7553]],\n", - "\n", - " [[0.2270]],\n", - "\n", - " [[0.5532]]],\n", - "\n", - "\n", - " [[[2.6151]],\n", - "\n", - " [[1.1276]],\n", - "\n", - " [[1.3129]],\n", - "\n", - " ...,\n", - "\n", - " [[1.3297]],\n", - "\n", - " [[1.0568]],\n", - "\n", - " [[0.9655]]],\n", - "\n", - "\n", - " [[[1.3389]],\n", - "\n", - " [[0.7172]],\n", - "\n", - " [[1.7341]],\n", - "\n", - " ...,\n", - "\n", - " [[0.6226]],\n", - "\n", - " [[2.2499]],\n", - "\n", - " [[1.0271]]]]], dtype=torch.float64)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prior._sample_redshifts()" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "de47e100", - "metadata": {}, - "outputs": [], - "source": [ - "samples = prior._sample_galaxy_fluxes()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5969f15f", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "ba582de5", - "metadata": {}, - "outputs": [], - "source": [ - "hey = samples[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "ac4e1cfd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[[[[27.1200, 26.4601, 25.6694, 25.4208, 25.2529]],\n", - "\n", - " [[27.0200, 26.7237, 26.3933, 25.9733, 25.3686]],\n", - "\n", - " [[26.9485, 27.0269, 27.1035, 27.1276, 26.7069]],\n", - "\n", - " ...,\n", - "\n", - " [[27.4379, 27.6543, 27.8962, 27.6516, 27.6969]],\n", - "\n", - " [[27.6808, 27.7931, 27.8938, 27.5564, 27.4157]],\n", - "\n", - " [[25.1488, 25.2539, 24.9503, 24.6118, 23.9244]]],\n", - "\n", - "\n", - " [[[29.2384, 28.5860, 28.2561, 28.2660, 28.2294]],\n", - "\n", - " [[23.6819, 23.5852, 23.5882, 23.3833, 23.1769]],\n", - "\n", - " [[30.5307, 28.7861, 27.4119, 26.8613, 26.5716]],\n", - "\n", - " ...,\n", - "\n", - " [[28.7852, 28.5588, 28.0941, 27.7025, 26.8584]],\n", - "\n", - " [[30.4038, 29.7317, 28.6744, 28.2064, 28.0866]],\n", - "\n", - " [[28.9893, 28.4598, 27.5928, 26.8800, 26.7850]]],\n", - "\n", - "\n", - " [[[26.6227, 26.5958, 26.6622, 26.6841, 26.6748]],\n", - "\n", - " [[28.7846, 28.8097, 28.8342, 28.6282, 28.4817]],\n", - "\n", - " [[27.9313, 28.0219, 28.1511, 28.2422, 28.3663]],\n", - "\n", - " ...,\n", - "\n", - " [[28.6381, 28.2737, 28.2183, 28.2681, 28.3431]],\n", - "\n", - " [[30.6009, 29.8544, 28.7908, 27.9637, 27.7770]],\n", - "\n", - " [[29.3230, 28.9308, 28.8566, 28.8996, 28.9696]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[27.3087, 26.3528, 25.1150, 24.2526, 24.0281]],\n", - "\n", - " [[27.8213, 27.8582, 27.9839, 28.0936, 28.1677]],\n", - "\n", - " [[24.2415, 23.9938, 23.2209, 22.3053, 21.7952]],\n", - "\n", - " ...,\n", - "\n", - " [[30.3802, 29.4235, 28.3245, 27.5135, 26.6123]],\n", - "\n", - " [[26.5305, 25.9770, 25.0372, 24.1002, 23.9413]],\n", - "\n", - " [[29.2664, 28.8700, 28.9599, 28.8160, 28.6457]]],\n", - "\n", - "\n", - " [[[26.5888, 26.6213, 26.7435, 26.8021, 26.8168]],\n", - "\n", - " [[25.4038, 25.1637, 25.4753, 25.3061, 25.0966]],\n", - "\n", - " [[27.2538, 26.6637, 26.6121, 26.6675, 26.5092]],\n", - "\n", - " ...,\n", - "\n", - " [[27.9085, 27.6544, 27.1540, 26.4092, 25.9288]],\n", - "\n", - " [[31.3864, 29.7287, 29.0041, 28.1547, 27.6095]],\n", - "\n", - " [[27.7992, 27.5929, 27.2593, 26.9753, 26.1684]]],\n", - "\n", - "\n", - " [[[27.5559, 27.9316, 27.5088, 27.2373, 26.5725]],\n", - "\n", - " [[26.9608, 26.7079, 26.7562, 26.8511, 26.8861]],\n", - "\n", - " [[26.0715, 24.2041, 22.8269, 22.2606, 21.9749]],\n", - "\n", - " ...,\n", - "\n", - " [[28.0984, 27.5840, 27.4668, 27.7103, 27.7293]],\n", - "\n", - " [[29.4980, 28.6180, 27.3313, 26.3387, 25.6069]],\n", - "\n", - " [[28.1055, 28.2828, 28.1551, 27.9877, 27.6769]]]],\n", - "\n", - "\n", - "\n", - " [[[[26.4786, 26.5212, 26.6298, 26.6700, 26.7317]],\n", - "\n", - " [[28.0351, 27.3899, 27.5499, 27.3558, 27.0751]],\n", - "\n", - " [[28.2105, 27.8875, 27.3355, 26.4690, 26.3793]],\n", - "\n", - " ...,\n", - "\n", - " [[28.1304, 28.1478, 28.2170, 28.2018, 28.2142]],\n", - "\n", - " [[26.2670, 26.3110, 26.4305, 26.4810, 26.5259]],\n", - "\n", - " [[27.8747, 27.7180, 27.3486, 26.5535, 26.4696]]],\n", - "\n", - "\n", - " [[[26.8118, 25.8447, 25.4615, 25.4884, 25.6465]],\n", - "\n", - " [[27.3652, 27.4412, 27.5043, 27.5456, 27.0672]],\n", - "\n", - " [[29.5515, 28.9113, 28.7968, 28.8273, 28.9079]],\n", - "\n", - " ...,\n", - "\n", - " [[30.2818, 29.2096, 27.9653, 27.0457, 26.2454]],\n", - "\n", - " [[28.1977, 28.2896, 28.3439, 28.2650, 27.8476]],\n", - "\n", - " [[28.6321, 28.3930, 27.8077, 27.1986, 27.0940]]],\n", - "\n", - "\n", - " [[[26.0903, 23.4803, 21.8874, 20.9648, 20.5289]],\n", - "\n", - " [[31.1714, 29.3700, 27.9162, 27.0161, 26.6765]],\n", - "\n", - " [[30.0572, 29.4467, 29.0070, 28.3707, 27.9349]],\n", - "\n", - " ...,\n", - "\n", - " [[29.3385, 28.5397, 28.4332, 28.5149, 28.5894]],\n", - "\n", - " [[26.2014, 25.8680, 25.5811, 24.8536, 24.4071]],\n", - "\n", - " [[28.3364, 28.1893, 27.8953, 27.2604, 26.8702]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[28.6555, 28.3014, 28.2450, 28.2994, 28.3716]],\n", - "\n", - " [[27.9312, 27.9248, 27.9794, 27.9377, 27.9147]],\n", - "\n", - " [[28.2116, 28.0397, 28.1276, 28.2349, 28.2870]],\n", - "\n", - " ...,\n", - "\n", - " [[28.8601, 28.7898, 28.5622, 27.8720, 27.6346]],\n", - "\n", - " [[26.8178, 26.4417, 26.1124, 25.5695, 25.0515]],\n", - "\n", - " [[27.7381, 27.0949, 26.0676, 24.9863, 24.4941]]],\n", - "\n", - "\n", - " [[[29.9342, 29.0472, 28.9384, 29.0099, 29.0881]],\n", - "\n", - " [[29.6203, 27.9036, 26.5953, 26.0821, 25.8140]],\n", - "\n", - " [[28.1739, 28.1585, 28.2834, 28.1545, 28.0852]],\n", - "\n", - " ...,\n", - "\n", - " [[28.2383, 27.7470, 26.9544, 25.9368, 25.6849]],\n", - "\n", - " [[27.8014, 27.7242, 27.5193, 27.3376, 26.7860]],\n", - "\n", - " [[30.6976, 29.9795, 28.9058, 28.2933, 28.1343]]],\n", - "\n", - "\n", - " [[[27.8778, 27.6100, 27.2854, 26.9293, 26.1953]],\n", - "\n", - " [[28.6582, 28.3605, 28.2851, 28.0582, 27.8334]],\n", - "\n", - " [[28.2393, 27.6503, 26.7512, 26.5723, 26.4608]],\n", - "\n", - " ...,\n", - "\n", - " [[31.8866, 29.7220, 28.9496, 28.7466, 28.5499]],\n", - "\n", - " [[31.8903, 29.5436, 28.8307, 28.6780, 28.3629]],\n", - "\n", - " [[31.6060, 30.0463, 28.7115, 28.1514, 27.8688]]]],\n", - "\n", - "\n", - "\n", - " [[[[29.8034, 28.8931, 27.6513, 27.2487, 27.0917]],\n", - "\n", - " [[28.7143, 28.4903, 28.0395, 27.2572, 26.8160]],\n", - "\n", - " [[29.1503, 28.8867, 28.8851, 28.9681, 29.0602]],\n", - "\n", - " ...,\n", - "\n", - " [[30.0864, 29.1747, 28.8476, 28.4692, 28.0811]],\n", - "\n", - " [[29.7834, 29.1845, 29.0328, 29.4147, 29.4807]],\n", - "\n", - " [[29.6176, 29.0098, 28.0678, 27.4594, 27.3380]]],\n", - "\n", - "\n", - " [[[27.3599, 27.1117, 26.6178, 25.6972, 25.4731]],\n", - "\n", - " [[28.7231, 28.5035, 28.5501, 28.6442, 28.6633]],\n", - "\n", - " [[30.8875, 28.6398, 27.8799, 27.5244, 26.9522]],\n", - "\n", - " ...,\n", - "\n", - " [[29.1425, 28.9406, 28.5777, 27.8692, 27.4634]],\n", - "\n", - " [[29.6125, 29.2214, 28.6128, 27.7487, 27.6743]],\n", - "\n", - " [[25.9723, 25.6346, 25.6353, 25.5928, 25.5062]]],\n", - "\n", - "\n", - " [[[28.5163, 28.5343, 28.3388, 27.9303, 27.4064]],\n", - "\n", - " [[28.3008, 28.3560, 28.3939, 28.4158, 27.8713]],\n", - "\n", - " [[30.2806, 29.2480, 28.9252, 28.9759, 28.7673]],\n", - "\n", - " ...,\n", - "\n", - " [[29.7471, 29.2776, 28.2733, 27.8021, 27.7223]],\n", - "\n", - " [[29.2116, 28.8725, 28.8242, 28.8840, 28.9366]],\n", - "\n", - " [[28.4015, 28.1391, 27.6620, 26.8544, 26.4765]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[28.3935, 28.4433, 28.5348, 28.5569, 28.5312]],\n", - "\n", - " [[29.0469, 28.9626, 29.0146, 29.0486, 29.0195]],\n", - "\n", - " [[28.2940, 28.1012, 27.7900, 27.4971, 26.6824]],\n", - "\n", - " ...,\n", - "\n", - " [[29.8039, 28.4334, 27.0499, 26.0652, 25.7166]],\n", - "\n", - " [[28.0095, 28.0023, 27.9857, 27.8833, 27.5395]],\n", - "\n", - " [[27.9423, 27.9935, 28.0018, 27.9331, 27.4018]]],\n", - "\n", - "\n", - " [[[28.4140, 28.1344, 28.1674, 28.2400, 28.2245]],\n", - "\n", - " [[30.4745, 28.6818, 27.2971, 26.6943, 26.3979]],\n", - "\n", - " [[27.9998, 27.4708, 26.5566, 25.8237, 25.7254]],\n", - "\n", - " ...,\n", - "\n", - " [[28.7028, 28.7438, 28.7002, 28.5092, 27.9848]],\n", - "\n", - " [[28.8335, 28.5164, 27.9544, 27.1166, 27.0547]],\n", - "\n", - " [[28.3829, 28.0721, 27.2136, 26.8620, 26.7569]]],\n", - "\n", - "\n", - " [[[27.1117, 26.7495, 26.0491, 25.0433, 24.7066]],\n", - "\n", - " [[27.0500, 27.0760, 26.6286, 26.1485, 25.5146]],\n", - "\n", - " [[24.4611, 24.6770, 24.4100, 24.0447, 23.4817]],\n", - "\n", - " ...,\n", - "\n", - " [[27.6250, 27.2005, 27.3546, 27.2408, 27.0830]],\n", - "\n", - " [[29.3017, 28.7049, 27.7797, 26.7985, 26.5585]],\n", - "\n", - " [[28.7898, 28.5930, 28.6728, 28.7654, 28.8239]]]],\n", - "\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - "\n", - " [[[[29.5524, 28.5614, 28.3742, 28.3007, 28.0692]],\n", - "\n", - " [[26.2364, 26.3179, 26.1447, 25.7215, 25.2185]],\n", - "\n", - " [[27.0043, 26.9502, 26.6481, 26.0185, 25.9459]],\n", - "\n", - " ...,\n", - "\n", - " [[26.4173, 26.1788, 25.5947, 24.9629, 24.9614]],\n", - "\n", - " [[29.5518, 28.9674, 28.8259, 29.2145, 29.2859]],\n", - "\n", - " [[28.7682, 28.0618, 27.5437, 26.8149, 26.2640]]],\n", - "\n", - "\n", - " [[[29.1071, 28.9026, 28.7096, 28.4162, 28.2203]],\n", - "\n", - " [[28.4346, 28.2326, 27.8869, 27.0552, 26.8308]],\n", - "\n", - " [[28.0533, 28.0663, 28.1335, 28.1219, 28.1221]],\n", - "\n", - " ...,\n", - "\n", - " [[28.7893, 28.5037, 28.0352, 27.1094, 26.9968]],\n", - "\n", - " [[28.7538, 28.5887, 28.6599, 28.7531, 28.8324]],\n", - "\n", - " [[27.7452, 27.7679, 27.6553, 27.0350, 26.8571]]],\n", - "\n", - "\n", - " [[[28.0212, 28.0724, 28.1321, 28.1623, 27.7882]],\n", - "\n", - " [[31.3401, 30.1425, 28.8250, 27.7816, 27.3433]],\n", - "\n", - " [[26.1942, 26.3142, 26.4006, 26.2527, 25.9372]],\n", - "\n", - " ...,\n", - "\n", - " [[26.7124, 26.4546, 25.9679, 25.0357, 24.9012]],\n", - "\n", - " [[28.9688, 28.9686, 29.0292, 28.9864, 28.9730]],\n", - "\n", - " [[28.6757, 28.5411, 28.6433, 28.7780, 28.8951]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[29.1698, 28.1318, 27.6411, 27.6524, 27.4133]],\n", - "\n", - " [[27.7686, 27.6820, 27.4106, 26.6848, 26.5330]],\n", - "\n", - " [[28.1112, 28.1747, 28.3163, 28.4022, 28.5000]],\n", - "\n", - " ...,\n", - "\n", - " [[27.8169, 27.8518, 27.7890, 27.6661, 27.0202]],\n", - "\n", - " [[23.8373, 23.8155, 23.8327, 23.7167, 23.3517]],\n", - "\n", - " [[30.4169, 29.0920, 28.0370, 27.6947, 27.5063]]],\n", - "\n", - "\n", - " [[[29.2939, 28.9127, 28.8622, 28.9153, 29.0138]],\n", - "\n", - " [[27.9044, 28.0208, 28.1714, 28.2860, 28.3994]],\n", - "\n", - " [[29.4239, 28.7421, 28.2458, 27.9357, 27.3295]],\n", - "\n", - " ...,\n", - "\n", - " [[28.8007, 28.4601, 27.8745, 27.1191, 26.5765]],\n", - "\n", - " [[29.5929, 29.2283, 28.6694, 27.7513, 27.4997]],\n", - "\n", - " [[28.0482, 27.8841, 27.9599, 28.0636, 28.1039]]],\n", - "\n", - "\n", - " [[[27.7146, 27.1883, 27.0749, 27.0854, 26.7161]],\n", - "\n", - " [[28.6304, 28.5682, 28.5866, 28.3787, 28.2022]],\n", - "\n", - " [[29.4081, 28.3118, 27.4482, 27.1988, 27.0597]],\n", - "\n", - " ...,\n", - "\n", - " [[28.6289, 27.4644, 25.9924, 25.0130, 24.2492]],\n", - "\n", - " [[28.6625, 28.3407, 27.8231, 26.8836, 26.7142]],\n", - "\n", - " [[28.9540, 28.1226, 27.0454, 26.1656, 25.3661]]]],\n", - "\n", - "\n", - "\n", - " [[[[29.5726, 29.1556, 29.0523, 29.2003, 29.1448]],\n", - "\n", - " [[28.2420, 28.2681, 28.2825, 28.2587, 27.7847]],\n", - "\n", - " [[28.9937, 27.7059, 26.3156, 25.6610, 25.3180]],\n", - "\n", - " ...,\n", - "\n", - " [[27.7791, 27.5951, 27.2104, 26.8221, 25.9849]],\n", - "\n", - " [[28.5317, 27.7830, 27.5130, 27.1456, 26.7913]],\n", - "\n", - " [[27.4586, 27.5662, 27.8035, 27.7396, 27.8291]]],\n", - "\n", - "\n", - " [[[25.0647, 25.1474, 25.2693, 25.3693, 25.4608]],\n", - "\n", - " [[30.6084, 29.1838, 28.9004, 28.7616, 28.4884]],\n", - "\n", - " [[28.5543, 28.6722, 28.7835, 28.3909, 28.3841]],\n", - "\n", - " ...,\n", - "\n", - " [[30.8113, 29.1769, 27.7952, 26.9284, 26.6214]],\n", - "\n", - " [[28.7014, 28.6761, 28.6722, 28.5590, 28.2826]],\n", - "\n", - " [[28.4185, 27.7239, 26.6475, 26.1349, 26.0121]]],\n", - "\n", - "\n", - " [[[31.1708, 29.5893, 28.6446, 28.4286, 28.4484]],\n", - "\n", - " [[29.7342, 28.6171, 27.2581, 26.1982, 25.6392]],\n", - "\n", - " [[25.7314, 25.7702, 25.2518, 24.7441, 23.9066]],\n", - "\n", - " ...,\n", - "\n", - " [[26.7025, 26.5577, 26.1887, 25.4195, 25.1614]],\n", - "\n", - " [[25.6593, 25.7190, 25.5525, 25.2542, 24.7779]],\n", - "\n", - " [[29.9816, 29.0508, 27.8402, 27.5647, 27.4186]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[27.5269, 27.3710, 27.4709, 27.5980, 27.6911]],\n", - "\n", - " [[25.2736, 25.2482, 25.4705, 25.2174, 25.1011]],\n", - "\n", - " [[28.8686, 28.5853, 28.0901, 27.5269, 26.8331]],\n", - "\n", - " ...,\n", - "\n", - " [[27.3617, 27.3303, 27.1253, 26.9562, 26.2363]],\n", - "\n", - " [[26.9406, 26.9383, 26.9984, 27.0311, 27.0509]],\n", - "\n", - " [[30.4415, 29.0485, 28.7837, 28.6812, 28.4376]]],\n", - "\n", - "\n", - " [[[29.6400, 29.4135, 29.0081, 28.5585, 27.8050]],\n", - "\n", - " [[29.0894, 28.7772, 28.0693, 27.4704, 27.3365]],\n", - "\n", - " [[29.3154, 28.9649, 28.4832, 28.0323, 27.2264]],\n", - "\n", - " ...,\n", - "\n", - " [[27.8658, 27.7034, 27.2691, 26.8396, 26.0098]],\n", - "\n", - " [[30.3216, 28.7075, 27.9723, 27.7787, 27.2612]],\n", - "\n", - " [[25.8086, 25.6513, 25.6025, 25.5759, 25.3737]]],\n", - "\n", - "\n", - " [[[29.7457, 29.0427, 27.9854, 27.3057, 27.1486]],\n", - "\n", - " [[28.1807, 27.4492, 26.3138, 25.8952, 25.7794]],\n", - "\n", - " [[28.7816, 28.7893, 28.7914, 28.7931, 28.3060]],\n", - "\n", - " ...,\n", - "\n", - " [[27.2298, 27.2545, 27.1158, 26.4910, 26.4571]],\n", - "\n", - " [[30.3690, 29.2712, 29.0367, 29.0733, 29.1222]],\n", - "\n", - " [[31.4553, 30.0150, 28.6574, 27.7130, 27.3771]]]],\n", - "\n", - "\n", - "\n", - " [[[[28.4125, 28.1560, 27.6500, 26.8898, 26.4077]],\n", - "\n", - " [[30.0882, 28.9212, 27.6470, 26.7635, 25.9028]],\n", - "\n", - " [[28.8634, 28.5762, 28.1112, 27.2041, 27.0245]],\n", - "\n", - " ...,\n", - "\n", - " [[29.4572, 28.9907, 28.2182, 27.4084, 27.3007]],\n", - "\n", - " [[28.0354, 27.8439, 27.4768, 26.7762, 26.3699]],\n", - "\n", - " [[29.9815, 29.0106, 27.7736, 26.8590, 26.0737]]],\n", - "\n", - "\n", - " [[[31.0458, 29.3973, 29.0088, 28.8696, 28.5571]],\n", - "\n", - " [[27.2384, 27.2649, 27.3190, 27.2996, 26.9919]],\n", - "\n", - " [[28.2852, 28.2775, 28.3514, 28.3800, 28.3875]],\n", - "\n", - " ...,\n", - "\n", - " [[28.1939, 27.9609, 27.8389, 27.5116, 27.3065]],\n", - "\n", - " [[27.1428, 27.2438, 27.3976, 27.5198, 27.3557]],\n", - "\n", - " [[27.2696, 26.7652, 26.6884, 27.0463, 26.8596]]],\n", - "\n", - "\n", - " [[[28.9316, 28.9477, 29.0258, 29.0574, 29.0786]],\n", - "\n", - " [[27.9803, 28.0653, 28.1159, 27.7718, 27.5591]],\n", - "\n", - " [[27.4120, 27.4426, 27.5464, 27.5619, 27.5238]],\n", - "\n", - " ...,\n", - "\n", - " [[28.8064, 28.4364, 27.8298, 26.8813, 26.6491]],\n", - "\n", - " [[31.5296, 29.4846, 28.9468, 28.8488, 28.8414]],\n", - "\n", - " [[24.4781, 24.5761, 24.6586, 24.5853, 24.2155]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[29.4051, 29.1585, 28.7624, 27.8894, 27.6608]],\n", - "\n", - " [[28.7173, 28.6005, 28.6761, 28.7582, 28.7827]],\n", - "\n", - " [[28.1082, 28.0026, 28.0922, 28.1888, 28.2269]],\n", - "\n", - " ...,\n", - "\n", - " [[30.3499, 29.8042, 28.9708, 28.0954, 27.9295]],\n", - "\n", - " [[27.9172, 26.7333, 25.9871, 25.7744, 25.6448]],\n", - "\n", - " [[29.6497, 29.1632, 28.1636, 27.7102, 27.5476]]],\n", - "\n", - "\n", - " [[[28.9694, 28.7469, 28.7855, 28.8804, 28.9999]],\n", - "\n", - " [[28.8080, 28.5268, 27.9619, 27.4623, 26.6148]],\n", - "\n", - " [[27.4745, 27.4978, 27.3192, 27.0561, 26.5834]],\n", - "\n", - " ...,\n", - "\n", - " [[27.2812, 27.0640, 26.8068, 26.4606, 25.9676]],\n", - "\n", - " [[27.6672, 27.7331, 27.7237, 27.4917, 27.0504]],\n", - "\n", - " [[27.0795, 26.8442, 26.3511, 25.5551, 25.1159]]],\n", - "\n", - "\n", - " [[[28.8153, 28.7984, 28.7944, 28.6814, 28.3760]],\n", - "\n", - " [[26.7696, 26.7656, 26.4605, 25.9488, 25.9547]],\n", - "\n", - " [[29.0097, 28.9396, 28.9652, 28.9292, 28.8661]],\n", - "\n", - " ...,\n", - "\n", - " [[29.0851, 28.3902, 27.3142, 26.7531, 26.6182]],\n", - "\n", - " [[28.4058, 28.0952, 28.1172, 28.1884, 28.2192]],\n", - "\n", - " [[25.5183, 25.6898, 25.4007, 24.9426, 24.4339]]]]],\n", - " dtype=torch.float64)" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hey" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "208b2592", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d77cdf80", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4abe1210", - "metadata": {}, - "outputs": [], - "source": [ - "prior._sample_galaxy_fluxes()" - ] - }, - { - "cell_type": "markdown", - "id": "6ba266c7", - "metadata": {}, - "source": [ - "Now trying to read DC2 (yikes)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "24680fa0", - "metadata": {}, - "outputs": [], - "source": [ - "hey = pd.read_csv('/data/scratch/declan/dc2_truth_mini.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ee5e3d0c", - "metadata": {}, - "outputs": [], - "source": [ - "hey.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1cd76bfa", - "metadata": {}, - "outputs": [], - "source": [ - "hey = hey[['mag_u', 'mag_g', 'mag_r', 'mag_i', 'mag_z', 'redshift', 'truth_type']]\n", - "hey = hey.dropna(axis=0, how='any')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0c9e24f0", - "metadata": {}, - "outputs": [], - "source": [ - "hey.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8b48d464", - "metadata": {}, - "outputs": [], - "source": [ - "stars = hey[hey['truth_type'] == 2].drop('truth_type', axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2a0c1c82", - "metadata": {}, - "outputs": [], - "source": [ - "galaxies = hey[hey['truth_type'] == 1].drop('truth_type', axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "395b2079", - "metadata": {}, - "outputs": [], - "source": [ - "stars.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9857d397", - "metadata": {}, - "outputs": [], - "source": [ - "galaxies.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2420c847", - "metadata": {}, - "outputs": [], - "source": [ - "galaxies.to_csv('/data/scratch/declan/dc2_truth_galaxies_mini_clean.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cbb6101e", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7f633f5b", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2461c903", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "caac6615", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "972f9bd4", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "12a7995d", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "467801d0", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "765858d4", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c11f227c", - "metadata": {}, - "outputs": [], - "source": [ - "(hey['redshift'] == 0).sum()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5b97d054", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.hist(hey['redshift'])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "88315ec3", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "67f478f4", - "metadata": {}, - "outputs": [], - "source": [ - "hey['mag_u'].values.min()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f523c066", - "metadata": {}, - "outputs": [], - "source": [ - "hey.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8faf3f8d", - "metadata": {}, - "outputs": [], - "source": [ - "hey = hey[['mag_u', 'mag_g', 'mag_r', 'mag_i', 'mag_z', 'redshift']]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d3dad233", - "metadata": {}, - "outputs": [], - "source": [ - "hey = hey.dropna(axis=0, how='any')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "afb44100", - "metadata": {}, - "outputs": [], - "source": [ - "hey.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3acaa5f7", - "metadata": {}, - "outputs": [], - "source": [ - "hey.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d7e56f41", - "metadata": {}, - "outputs": [], - "source": [ - "hey.to_csv('dc2_truth_mini_clean.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cc4a5644", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3e2fe373", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d07a8d77", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d3bafd0d", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d01a8e37", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "64a98dca", - "metadata": {}, - "outputs": [], - "source": [ - "star = pd.read_csv('/data/scratch/declan/STAR.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a3fc1a1b", - "metadata": {}, - "outputs": [], - "source": [ - "star.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f3c9f8b7", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4de1f4a1", - "metadata": {}, - "outputs": [], - "source": [ - "path = \"/data/scratch/declan/photometric_data.csv\"" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dbf6b266", - "metadata": {}, - "outputs": [], - "source": [ - "view = pd.read_csv(path, header=0)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f6a34c12", - "metadata": {}, - "outputs": [], - "source": [ - "view.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c52be757", - "metadata": {}, - "outputs": [], - "source": [ - "new = view.drop(0)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "674239f7", - "metadata": {}, - "outputs": [], - "source": [ - "new.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c7e22e5d", - "metadata": {}, - "outputs": [], - "source": [ - "galaxy_only = new[new['source_type'] == \"GALAXY\"]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2684e567", - "metadata": {}, - "outputs": [], - "source": [ - "star_only = new[new['source_type'] == \"STAR\"]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c9e8eeaf", - "metadata": {}, - "outputs": [], - "source": [ - "galaxy_only.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b3f43d43", - "metadata": {}, - "outputs": [], - "source": [ - "star_only.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8af8dc8e", - "metadata": {}, - "outputs": [], - "source": [ - "galaxy_only.to_csv(\"/data/scratch/declan/GALAXY.csv\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "33d12e62", - "metadata": {}, - "outputs": [], - "source": [ - "star_only.to_csv(\"/data/scratch/declan/STAR.csv\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c78bbfa2", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/other/CombinedTruth.ipynb b/case_studies/redshift_estimation/notebooks/other/CombinedTruth.ipynb deleted file mode 100644 index 55eb74f78..000000000 --- a/case_studies/redshift_estimation/notebooks/other/CombinedTruth.ipynb +++ /dev/null @@ -1,1407 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "5c40ee8a", - "metadata": {}, - "source": [ - "## Investigating Stars & Galaxies Redshift" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "08f7b6a8", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import math\n", - "import numpy as np\n", - "import torch\n", - "import pandas as pd\n", - "import GCRCatalogs\n", - "from GCR import GCRQuery" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "06befbeb", - "metadata": {}, - "outputs": [], - "source": [ - "# Command line: within virtual environment run \n", - "# python -m pip install https://github.com/LSSTDESC/gcr-catalogs/archive/v1.4.0.tar.gz#egg=GCRCatalogs[full]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e4f97dbf", - "metadata": {}, - "outputs": [], - "source": [ - "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier/')\n", - "GCRCatalogs.get_root_dir()\n", - "# need to do this in accordance with instructions at https://data.lsstdesc.org/doc/install_gcr" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "edca2c09", - "metadata": {}, - "outputs": [], - "source": [ - "# List of public catalog names\n", - "GCRCatalogs.get_public_catalog_names()" - ] - }, - { - "cell_type": "markdown", - "id": "57acc682", - "metadata": {}, - "source": [ - "We're generally going to be interested in the truth files, which we know will have redshift and photometry values for us to use. Let's load a truth file and examine the fields we have available to us. We can explore relevant fields." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ec559992", - "metadata": {}, - "outputs": [], - "source": [ - "truth_cat = GCRCatalogs.load_catalog('desc_dc2_run2.2i_dr6_truth')\n", - "truth_cat.list_all_quantities()" - ] - }, - { - "cell_type": "markdown", - "id": "363b758f", - "metadata": {}, - "source": [ - "Jacky found the following link that gives details on some fields: https://github.com/LSSTDESC/gcr-catalogs/blob/master/GCRCatalogs/SCHEMA.md\n", - " " - ] - }, - { - "cell_type": "markdown", - "id": "c7b943fd", - "metadata": {}, - "source": [ - "In particular, we have that `truth_type==2` corresponds to stars, and `truth_type==1` for galaxies. However, Jacky also found that all stars had zero redshift, which was very strange. Let's investigate.\n", - "\n", - "**The cell below will take a few minutes to run.**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "669973bd", - "metadata": {}, - "outputs": [], - "source": [ - "data = truth_cat.get_quantities([\"truth_type\", \"redshift\"])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e5f314e6", - "metadata": {}, - "outputs": [], - "source": [ - "only_stars = GCRQuery('truth_type == 2')\n", - "data_only_stars = only_stars.filter(data)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "50251c6e", - "metadata": {}, - "outputs": [], - "source": [ - "data_only_stars.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f9204ef1", - "metadata": {}, - "outputs": [], - "source": [ - "data_only_stars['truth_type'][:10]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "19fbe404", - "metadata": {}, - "outputs": [], - "source": [ - "data_only_stars['redshift'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fa23cddb", - "metadata": {}, - "outputs": [], - "source": [ - "(data_only_stars['redshift'] != 0).sum()" - ] - }, - { - "cell_type": "markdown", - "id": "4ed7a388", - "metadata": {}, - "source": [ - "Indeed, all stars have redshift zero. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "eece9d0b", - "metadata": {}, - "outputs": [], - "source": [ - "(data['redshift'] != 0).sum()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c55b0322", - "metadata": {}, - "outputs": [], - "source": [ - "data['redshift'].shape" - ] - }, - { - "cell_type": "markdown", - "id": "e771a697", - "metadata": {}, - "source": [ - "If we investigate the shapes above, it appears that that the data catalog has a total of 764 million objects. Of these, there are about 4 million stars only, and it appears about 5 million objects total with redshift == 0. Clearly the stars comprise these. Let's focus on galaxies instead, we will filter for these." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "630f4843", - "metadata": {}, - "outputs": [], - "source": [ - "only_galaxies = GCRQuery('truth_type == 1')\n", - "data_only_galaxies = only_galaxies.filter(data)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "138f81e6", - "metadata": {}, - "outputs": [], - "source": [ - "data_only_galaxies['redshift'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fe4c5f46", - "metadata": {}, - "outputs": [], - "source": [ - "(data_only_galaxies['redshift'] != 0).sum()" - ] - }, - { - "cell_type": "markdown", - "id": "3797b8c0", - "metadata": {}, - "source": [ - "So contrarily for galaxies, every single redshift is nonzero, which is precisely what we want. Let's extract these galaxies to `.csv` for use in our data simulation process. However, we might as well extract galaxy and other parameters as well in case we want them later on. We will investigate the contents of other catalogs and merge as required." - ] - }, - { - "cell_type": "markdown", - "id": "8034e7c1", - "metadata": {}, - "source": [ - "## Merge Catalog (IGNORE THESE CELLS)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2142dbe5", - "metadata": {}, - "outputs": [], - "source": [ - "# A bit wonky with filepaths and where stuff is located\n", - "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier/lsstdesc-public/dc2/')\n", - "GCRCatalogs.get_root_dir()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c352b2b8", - "metadata": {}, - "outputs": [], - "source": [ - "match_cat = GCRCatalogs.load_catalog('desc_dc2_run2.2i_dr6_object_with_truth_match')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "48467f54", - "metadata": {}, - "outputs": [], - "source": [ - "quantities = match_cat.list_all_quantities()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8bc1bfe7", - "metadata": {}, - "outputs": [], - "source": [ - "quantities" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fe23b844", - "metadata": {}, - "outputs": [], - "source": [ - "list(filter(lambda k: 'redshift' in k, quantities))" - ] - }, - { - "cell_type": "markdown", - "id": "2bc88181", - "metadata": {}, - "source": [ - "I'm unsure what `redshift_truth` is, and how it differs from the `redshift` field in the other catalog. I have reason to believe this is catalog is deprecated b/c it's from v2 rather than v4 of the public releases from GCRCatalogs: https://github.com/LSSTDESC/gcr-catalogs/releases\n", - "\n", - "I'm going to ignore this catalog for now. It appears to only really have PSF stuff anyway, which we don't really need for our purposes?" - ] - }, - { - "cell_type": "markdown", - "id": "bb4ee762", - "metadata": {}, - "source": [ - "## CosmoDC2 Catalog + Merging With Truth Catalog" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "1cd4643b", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import math\n", - "import numpy as np\n", - "import torch\n", - "import pandas as pd\n", - "import GCRCatalogs\n", - "from GCR import GCRQuery" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "596ad137", - "metadata": {}, - "outputs": [], - "source": [ - "# Command line: within virtual environment run \n", - "# python -m pip install https://github.com/LSSTDESC/gcr-catalogs/archive/v1.4.0.tar.gz#egg=GCRCatalogs[full]" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "0bbe8983", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/nfs/turbo/lsa-regier/'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier/')\n", - "GCRCatalogs.get_root_dir()\n", - "# need to do this in accordance with instructions at https://data.lsstdesc.org/doc/install_gcr" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "c537a3b4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['desc_cosmodc2',\n", - " 'desc_dc2_run2.2i_dr6_object',\n", - " 'desc_dc2_run2.2i_dr6_object_with_truth_match',\n", - " 'desc_dc2_run2.2i_dr6_truth',\n", - " 'desc_dc2_run2.2i_truth_galaxy_summary',\n", - " 'desc_dc2_run2.2i_truth_sn_summary',\n", - " 'desc_dc2_run2.2i_truth_sn_variability',\n", - " 'desc_dc2_run2.2i_truth_star_summary',\n", - " 'desc_dc2_run2.2i_truth_star_variability']" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# List of public catalog names\n", - "GCRCatalogs.get_public_catalog_names()" - ] - }, - { - "cell_type": "markdown", - "id": "8dbb5fde", - "metadata": {}, - "source": [ - "We're generally going to be interested in the truth files, which we know will have redshift and photometry values for us to use. Let's load a truth file and examine the fields we have available to us. We can explore relevant fields." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "ae688087", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['flux_g',\n", - " 'cosmodc2_hp',\n", - " 'mag_i',\n", - " 'patch',\n", - " 'mag_y',\n", - " 'flux_u',\n", - " 'tract',\n", - " 'dec',\n", - " 'flux_r',\n", - " 'av',\n", - " 'id',\n", - " 'redshift',\n", - " 'rv',\n", - " 'cosmodc2_id',\n", - " 'ra',\n", - " 'match_objectId',\n", - " 'is_unique_truth_entry',\n", - " 'flux_y',\n", - " 'mag_g',\n", - " 'is_nearest_neighbor',\n", - " 'host_galaxy',\n", - " 'mag_z',\n", - " 'is_good_match',\n", - " 'flux_i',\n", - " 'truth_type',\n", - " 'match_sep',\n", - " 'flux_z',\n", - " 'mag_r',\n", - " 'mag_u',\n", - " 'id_string']" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "truth_cat = GCRCatalogs.load_catalog('desc_dc2_run2.2i_dr6_truth')\n", - "truth_cat.list_all_quantities()" - ] - }, - { - "cell_type": "markdown", - "id": "f0b2872a", - "metadata": {}, - "source": [ - "First let's reload all relevant quantities from the truth catalog we're familiar with.\n", - "\n", - "**The cell below will take a long time to run.**" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "650a6ce1", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished flux_u\n", - "Finished flux_g\n", - "Finished flux_r\n", - "Finished flux_i\n", - "Finished flux_z\n", - "Finished flux_y\n", - "Finished mag_u\n", - "Finished mag_g\n", - "Finished mag_r\n", - "Finished mag_i\n", - "Finished mag_z\n", - "Finished mag_y\n", - "Finished truth_type\n", - "Finished redshift\n", - "Finished id\n", - "Finished match_objectId\n", - "Finished cosmodc2_id\n", - "Finished id_string\n" - ] - } - ], - "source": [ - "all_truth_data = {}\n", - "quantities = [\"flux_u\", \"flux_g\", \"flux_r\", \"flux_i\", \"flux_z\", \"flux_y\",\n", - " \"mag_u\", \"mag_g\", \"mag_r\", \"mag_i\", \"mag_z\", \"mag_y\",\n", - " \"truth_type\", \"redshift\",\n", - " \"id\", \"match_objectId\", \"cosmodc2_id\", \"id_string\"]\n", - "for q in quantities:\n", - " this_field = truth_cat.get_quantities([q])\n", - " all_truth_data[q] = this_field[q]\n", - " print('Finished {}'.format(q))\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "0dff9cbc", - "metadata": {}, - "outputs": [], - "source": [ - "truth_data = pd.DataFrame(all_truth_data)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "180c0994", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(764026213, 18)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "truth_data.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "a5e264f6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
flux_uflux_gflux_rflux_iflux_zflux_ymag_umag_gmag_rmag_imag_zmag_ytruth_typeredshiftidmatch_objectIdcosmodc2_idid_string
05678.7089845577.5175786334.5024418848.51562515267.94726619116.74023422.01437822.03389721.89571821.53282420.94055020.69646811.05046810940305839119759064195403431094030583910940305839
1146.5180211341.1317145984.99462912850.58105518818.28320322972.25000025.98527523.58132221.95734021.12769720.71355120.49699410.47481910937870093119759064195412061093787009310937870093
2134.074341272.126617766.9030152072.0495612690.3303223052.68896526.08163825.31307424.18814823.10899922.82548722.68829310.75903611563663598119760438584934411156366359811563663598
3932.0081181224.2807622598.8271486678.4086919719.28027311019.93750023.97645223.68029822.86305621.83831821.43091421.29455410.80850210938869183119760438584934431093886918310938869183
435.554699104.535225462.3018491221.9360352384.8063962966.53906227.52275826.35184524.73768623.68238122.95636922.71937610.84929811564005688119760438584937371156400568811564005688
5577.276917648.449158943.1256102090.3359382522.6767582646.65112324.49654024.37031023.96357723.09946122.89534622.84325810.82261411563831110119760438584937381156383111011563831110
6893.910278838.389343976.0228881568.7298582002.0577392065.45996124.02176724.09138723.92635223.41113123.14630923.11245910.92938011564445231119760438584937391156444523111564445231
7610.097229828.8851931807.4377442516.5556642857.0297853111.17724624.43650424.10376523.25734122.89798522.76021222.66769010.51786411562943167119760438584937401156294316711562943167
8607.9747921396.3231202972.8225103748.6533204305.6293954791.28271524.44028923.53753722.71707722.46531322.31490922.19887010.30716410937620679119760438584937411093762067910937620679
9287.352844495.0523681347.4246831959.8701172078.4250492199.09472725.25396324.66337423.57624123.16943223.10566323.04439210.57274611563034476119760438584937421156303447611563034476
\n", - "
" - ], - "text/plain": [ - " flux_u flux_g flux_r flux_i flux_z \\\n", - "0 5678.708984 5577.517578 6334.502441 8848.515625 15267.947266 \n", - "1 146.518021 1341.131714 5984.994629 12850.581055 18818.283203 \n", - "2 134.074341 272.126617 766.903015 2072.049561 2690.330322 \n", - "3 932.008118 1224.280762 2598.827148 6678.408691 9719.280273 \n", - "4 35.554699 104.535225 462.301849 1221.936035 2384.806396 \n", - "5 577.276917 648.449158 943.125610 2090.335938 2522.676758 \n", - "6 893.910278 838.389343 976.022888 1568.729858 2002.057739 \n", - "7 610.097229 828.885193 1807.437744 2516.555664 2857.029785 \n", - "8 607.974792 1396.323120 2972.822510 3748.653320 4305.629395 \n", - "9 287.352844 495.052368 1347.424683 1959.870117 2078.425049 \n", - "\n", - " flux_y mag_u mag_g mag_r mag_i mag_z \\\n", - "0 19116.740234 22.014378 22.033897 21.895718 21.532824 20.940550 \n", - "1 22972.250000 25.985275 23.581322 21.957340 21.127697 20.713551 \n", - "2 3052.688965 26.081638 25.313074 24.188148 23.108999 22.825487 \n", - "3 11019.937500 23.976452 23.680298 22.863056 21.838318 21.430914 \n", - "4 2966.539062 27.522758 26.351845 24.737686 23.682381 22.956369 \n", - "5 2646.651123 24.496540 24.370310 23.963577 23.099461 22.895346 \n", - "6 2065.459961 24.021767 24.091387 23.926352 23.411131 23.146309 \n", - "7 3111.177246 24.436504 24.103765 23.257341 22.897985 22.760212 \n", - "8 4791.282715 24.440289 23.537537 22.717077 22.465313 22.314909 \n", - "9 2199.094727 25.253963 24.663374 23.576241 23.169432 23.105663 \n", - "\n", - " mag_y truth_type redshift id match_objectId \\\n", - "0 20.696468 1 1.050468 10940305839 11975906419540343 \n", - "1 20.496994 1 0.474819 10937870093 11975906419541206 \n", - "2 22.688293 1 0.759036 11563663598 11976043858493441 \n", - "3 21.294554 1 0.808502 10938869183 11976043858493443 \n", - "4 22.719376 1 0.849298 11564005688 11976043858493737 \n", - "5 22.843258 1 0.822614 11563831110 11976043858493738 \n", - "6 23.112459 1 0.929380 11564445231 11976043858493739 \n", - "7 22.667690 1 0.517864 11562943167 11976043858493740 \n", - "8 22.198870 1 0.307164 10937620679 11976043858493741 \n", - "9 23.044392 1 0.572746 11563034476 11976043858493742 \n", - "\n", - " cosmodc2_id id_string \n", - "0 10940305839 10940305839 \n", - "1 10937870093 10937870093 \n", - "2 11563663598 11563663598 \n", - "3 10938869183 10938869183 \n", - "4 11564005688 11564005688 \n", - "5 11563831110 11563831110 \n", - "6 11564445231 11564445231 \n", - "7 11562943167 11562943167 \n", - "8 10937620679 10937620679 \n", - "9 11563034476 11563034476 " - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "truth_data.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "cef56e3c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "70.290411724" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "truth_data.memory_usage().sum()/1e9 # in GB" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "74bff3e0", - "metadata": {}, - "outputs": [], - "source": [ - "truth_data.to_csv('/data/scratch/declan/dc2_truth.csv')" - ] - }, - { - "cell_type": "markdown", - "id": "8fa85307", - "metadata": {}, - "source": [ - "The `cosmo` catalog contains cosmological parameter values. It's only concerning galaxies, not stars. Again, more information can be found here: https://github.com/LSSTDESC/gcr-catalogs/blob/master/GCRCatalogs/SCHEMA.md" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d91a88be", - "metadata": {}, - "outputs": [], - "source": [ - "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier')\n", - "GCRCatalogs.get_root_dir()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "239d99c5", - "metadata": {}, - "outputs": [], - "source": [ - "cosmo_cat = GCRCatalogs.load_catalog('desc_cosmodc2')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e6d154eb", - "metadata": {}, - "outputs": [], - "source": [ - "cosmo_cat.list_all_quantities()" - ] - }, - { - "cell_type": "markdown", - "id": "b233deb3", - "metadata": {}, - "source": [ - "There are a lot of parameters here. Following @Xinyue's notebook, I will extract the following galaxy parameters (about shape, i.e. disk and bulge, etc.), and additionally I'll extract: redshift, and all flux magnitudes in all bands. This includes all the different types of fluxes, which we can sort out later. We also extract `galaxy_id` which can be used to merge with our truth table (?)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7a4ff206", - "metadata": {}, - "outputs": [], - "source": [ - "gal_params = [\n", - " \"galaxy_id\", \"position_angle_true\", \"size_minor_disk_true\", \n", - " \"size_disk_true\", \"size_minor_bulge_true\", \n", - " \"size_bulge_true\", \"bulge_to_total_ratio_i\"\n", - "]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2266e15d", - "metadata": {}, - "outputs": [], - "source": [ - "#mag_fields = list(filter(lambda k: 'mag' in k, cosmo_cat.list_all_quantities()))\n", - "mag_fields = ['mag_u', 'mag_g', 'mag_r', 'mag_i', 'mag_z', 'mag_y']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d5838ef0", - "metadata": {}, - "outputs": [], - "source": [ - "redshift_fields = list(filter(lambda k: 'redshift' in k, cosmo_cat.list_all_quantities()))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5af6297b", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "to_extract = gal_params + mag_fields + redshift_fields\n", - "to_extract" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "976c59d2", - "metadata": {}, - "outputs": [], - "source": [ - "type(cosmo_cat)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "38d361bf", - "metadata": {}, - "outputs": [], - "source": [ - "type(cosmo_cat._file_list)" - ] - }, - { - "cell_type": "markdown", - "id": "284019cf", - "metadata": {}, - "source": [ - "The CosmoDC2 Catalog is enormous. It's about 4.6 TB worth of data to load everything. I'm not even sure how many objects it considers. If you investigate the `_file_list` you'll see a list of all the files it loads. Below, I manually edit this list to reduce it to the first `num_files` files. This results in a drastic speedup." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d2901b45", - "metadata": {}, - "outputs": [], - "source": [ - "num_files = 7\n", - "to_keep = list(cosmo_cat._file_list.keys())[:num_files]\n", - "to_remove = list(cosmo_cat._file_list.keys())[num_files:]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fc1f6596", - "metadata": {}, - "outputs": [], - "source": [ - "for key in to_remove:\n", - " if key in cosmo_cat._file_list:\n", - " cosmo_cat._file_list.pop(key)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "35a6d874", - "metadata": {}, - "outputs": [], - "source": [ - "all_cosmo_data = {}\n", - "for q in to_extract:\n", - " this_field = cosmo_cat.get_quantities([q])\n", - " all_cosmo_data[q] = this_field[q]\n", - " print('Finished {}'.format(q))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d6378897", - "metadata": {}, - "outputs": [], - "source": [ - "cosmo_data = pd.DataFrame(all_cosmo_data)" - ] - }, - { - "cell_type": "markdown", - "id": "c07eb64d", - "metadata": {}, - "source": [ - "The number of objects below can be increased by reading more files above. Currently the file list is restricted to 7 files." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e09cb3ff", - "metadata": {}, - "outputs": [], - "source": [ - "cosmo_data.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "09ab0fc9", - "metadata": {}, - "outputs": [], - "source": [ - "cosmo_data.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "73b0c41e", - "metadata": {}, - "outputs": [], - "source": [ - "ids_in_both = np.intersect1d(np.array(cosmo_data['galaxy_id']), np.array(truth_data['cosmodc2_id']))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3641d4d1", - "metadata": {}, - "outputs": [], - "source": [ - "ids_in_both.shape" - ] - }, - { - "cell_type": "markdown", - "id": "b4ed85a8", - "metadata": {}, - "source": [ - "### Let's try to merge the two!\n", - "\n", - "We merge the cosmological parameters *into* the truth catalog. This is why below we do a 'left' merge. Following @Xinyue, the field we merge on is called \"cosmodc2_id\" in the truth catalog and just \"galaxy_id\" in the cosmoDC2 catalog." - ] - }, - { - "cell_type": "markdown", - "id": "1276f6ec", - "metadata": {}, - "source": [ - "First we filter each to only have `ids_in_both`. This speeds up the merge. We could also have `set_index` on these two but I like seeing how many objects there are." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "acf26bab", - "metadata": {}, - "outputs": [], - "source": [ - "filtered_cosmo_data = cosmo_data.set_index('galaxy_id').loc[ids_in_both]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "db3bcc0e", - "metadata": {}, - "outputs": [], - "source": [ - "filtered_truth_data = truth_data.set_index('cosmodc2_id').loc[ids_in_both]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "91984062", - "metadata": {}, - "outputs": [], - "source": [ - "filtered_cosmo_data.shape, filtered_truth_data.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3a397552", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df = truth_data.merge(cosmo_data,\n", - " left_index=True, \n", - " right_index=True,\n", - " how = \"inner\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "54db2e08", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "94eaf8a7", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "49c96f2b", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df.filter(regex='redshift', axis=1).head(20)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "44fe16e8", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.hist(combined_df['redshift_y'].values)" - ] - }, - { - "cell_type": "markdown", - "id": "5574c35b", - "metadata": {}, - "source": [ - "Here's link that seems not very useful? https://irsa.ipac.caltech.edu/data/theory/Cosmosims/gator_docs/CosmoDC2_Mock_V1_Catalog.html" - ] - }, - { - "cell_type": "markdown", - "id": "925a7d0c", - "metadata": {}, - "source": [ - "Another one: https://nbviewer.org/github/LSSTDESC/DC2-analysis/blob/rendered/tutorials/extragalactic_gcr_redshift_dist.nbconvert.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "813052e8", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df.to_csv('/data/scratch/declan/combined_truth.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e6dd34fa", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df.to_csv('/data/scratch/declan/combined_truth.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6642259a", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6b330d44", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "717ba01c", - "metadata": {}, - "source": [ - "Per Xinyue's work, the match files contain information on the psf and galaxy parameters that are unique to DC2. See discussion at the top of the page here: https://github.com/prob-ml/bliss/blob/dc2_script/case_studies/dc2/DC2_galaxy_psf_params.ipynb\n", - "\n", - "These PSF and Galaxy parameters may need to be incorporated into the forward model for BLISS if the goal is inference for DC2 images specifically. Maybe we won't worry about that so much for now, and we will focus on just extracting the relevant fluxes and redshifts. We can add in PSF and galaxy specifics later." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e80da032", - "metadata": {}, - "outputs": [], - "source": [ - "# This cell may take a long time to run, about 30-50 minutes for me\n", - "# We will extract relevant quanitites and save them for later\n", - "data = truth_cat.get_quantities([\n", - " \"id\", \"match_objectId\", \"cosmodc2_id\", \"ra\", \"dec\", \"truth_type\", \n", - " \"redshift\", \"flux_g\", \"flux_i\", \"flux_r\", \"flux_u\", \"flux_y\", \"flux_z\"\n", - "])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1c7bd593", - "metadata": {}, - "outputs": [], - "source": [ - "data['id'].shape" - ] - }, - { - "cell_type": "markdown", - "id": "7081fd52", - "metadata": {}, - "source": [ - "There are 764 million+ objects. We can get more meta-info by doing the below. See https://yymao.github.io/generic-catalog-reader/#GCR.BaseGenericCatalog.get_quantities for more documentation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ab5f55e2", - "metadata": {}, - "outputs": [], - "source": [ - "truth_cat.get_catalog_info()" - ] - }, - { - "cell_type": "markdown", - "id": "5690beb8", - "metadata": {}, - "source": [ - "We may want to filter down some of these. For example, to start, maybe we should only consider redshifts between 0 and 1 and aim to infer these to a reasonably high degree of accuracy. These probably just iterate through the data, so this cell also may take a long time. Following the example here: https://github.com/LSSTDESC/gcr-catalogs/blob/master/examples/GCRCatalogs%20Demo.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e70ddb27", - "metadata": {}, - "outputs": [], - "source": [ - "from GCR import GCRQuery\n", - "\n", - "# Let's choose a small RA and Dec range to do the matching so that it won't take too long!\n", - "ra_min, ra_max = 55.5, 56.0\n", - "dec_min, dec_max = -29.0, -28.5\n", - "redshift_min, redshift_max = 0.0, 1.0\n", - "\n", - "coord_cut = GCRQuery(\n", - " 'ra >= {}'.format(ra_min),\n", - " 'ra < {}'.format(ra_max),\n", - " 'dec >= {}'.format(dec_min),\n", - " 'dec < {}'.format(dec_max),\n", - ")\n", - "\n", - "redshift_cut = GCRQuery(\n", - " 'redshift >= {}'.format(redshift_min),\n", - " 'redshift < {}'.format(redshift_max),\n", - ")\n", - "\n", - "magnitude_filters = GCRQuery(\n", - " (np.isfinite, 'flux_i'),\n", - " 'flux_i > 1e3',\n", - ")\n", - "\n", - "data_subset = (coord_cut & magnitude_filters & redshift_cut).filter(data)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c48eec6c", - "metadata": {}, - "outputs": [], - "source": [ - "data_subset['id'].shape" - ] - }, - { - "cell_type": "markdown", - "id": "b051c2cf", - "metadata": {}, - "source": [ - "This is a very restrictive cut due to the ra and dec ranges specified, just for example. We will not need such cuts, but may add some cuts on flux or magnitude, for example." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "12017b6e", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/other/DC2&SDSSEvaluation.ipynb b/case_studies/redshift_estimation/notebooks/other/DC2&SDSSEvaluation.ipynb deleted file mode 100644 index f55e99f22..000000000 --- a/case_studies/redshift_estimation/notebooks/other/DC2&SDSSEvaluation.ipynb +++ /dev/null @@ -1,1057 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "d3578c49", - "metadata": {}, - "outputs": [], - "source": [ - "import torch\n", - "import numpy as np\n", - "import math\n", - "import os\n", - "import pytorch_lightning as pl\n", - "import torch\n", - "from hydra.utils import instantiate\n", - "import matplotlib.pyplot as plt\n", - "from case_studies.redshift_estimation.catalog import RedshiftFullCatalog, RedshiftTileCatalog\n", - "from bliss.encoder.plotting import plot_detections, my_plot_detections" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "33c107e3", - "metadata": {}, - "outputs": [], - "source": [ - "from os import environ\n", - "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", - "\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from bliss.main import predict\n", - "\n", - "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "2827e204", - "metadata": {}, - "outputs": [], - "source": [ - "with initialize(config_path=\"../\", version_base=None):\n", - " cfg = compose(\"redshift\", {\n", - " \"predict.weight_save_path=/data/scratch/declan/sdss_encoder_ckpt.ckpt\",\n", - " \"cached_simulator.cached_data_path=/data/scratch/declan/sdss_like_galaxies\"\n", - " })" - ] - }, - { - "cell_type": "markdown", - "id": "2144e508", - "metadata": {}, - "source": [ - "# Training Evaluation of DC2-Like and SDSS-Like Simulated Images of Galaxies" - ] - }, - { - "cell_type": "markdown", - "id": "099bf59b", - "metadata": {}, - "source": [ - "### Prior Catalog Construction: SDSS\n", - "\n", - "We use the spectrographic data release 17 to get redshifts. This is a large file containing unique IDs and redshifts for astronomical objects called `specObj-dr17.fits` that can be obtained from SDSS; we filter this to \"clean\" redshifts (i.e. those without warnings), and we remove duplicate measurments for the same object by filtering for the primary runs. Thereafter, we take the objects IDs and query SDSS for photometry values via the `astroquery.SDSS` module. After performing a join, we write the resulting dataframe of redshift and photometry values to a `.csv` file, and filter out photometry values that are missing or corrupt (for us, this is indicated by a value of -9999 for the band values).\n", - "\n", - "Following this procedure results in about 1.14 million objects with known photometry and redshift values. These objects are comprised of galaxies, stars, and quasars. For now, we focus only on galaxies, so we perform a further filtering to consider galaxies only, yielding about 0.86 million objects.\n", - "\n", - "Our SDSS-like prior of galaxies samples a vector of values `(redshift, u,g,r,i,z)` uniformly from these 0.86 million objects. As stated, for these validation experiments on semi-syntehtic data we only generate galaxies for now, so the `source_type` prior chooses galaxies with probability 1. The prior on galaxy parameters is unchanged. Together, all of these priors + GalSim define the SDSS-like generative model of images of galaxies." - ] - }, - { - "cell_type": "markdown", - "id": "b437af38", - "metadata": {}, - "source": [ - "### Semi-Synthetic Data: SDSS" - ] - }, - { - "cell_type": "markdown", - "id": "bb79bfa7", - "metadata": {}, - "source": [ - "Let's look at some images generated in this manner. We plot 10 example images, each in the $u,g,r,i,z$ bands. By default, BLISS chooses the SDSS survey with reference band $r$, and we make no modifications to this." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "8b797d77", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Global seed set to 42\n" - ] - } - ], - "source": [ - "# This cell will take some time to run to load the dataset\n", - "pl.seed_everything(cfg.train.seed)\n", - "\n", - "# setup dataset and encoder\n", - "dataset = instantiate(cfg.train.data_source)\n", - "encoder = instantiate(cfg.train.encoder)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "0baa6a54", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Batch of images is of shape torch.Size([32, 5, 80, 80])\n" - ] - } - ], - "source": [ - "train_dataloader = dataset.train_dataloader() \n", - "batch = next(iter(train_dataloader))\n", - "print('Batch of images is of shape {}'.format(batch['images'].shape))" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "b87a36f1", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA7kAAAdQCAYAAAAZo4yZAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9S69ty5ImCH1m7mOMOed67H3eN+69cTMyI1RZ+UCAhJDoUAj4D7TpgQTVghbQyAbkX6BFgw4N/gDNyiYFVUhUFaXMJCMyMvI+4tzz2HuvteacYwx3NxqfmY8x9zk3MqibEihyubS0z1lrzvFwNze3x2efiZkZXsfreB2v43W8jtfxOl7H63gdr+N1vI6/AUP/f/0Ar+N1vI7X8Tpex+t4Ha/jdbyO1/E6Xse/rfHq5L6O1/E6XsfreB2v43W8jtfxOl7H6/gbM16d3NfxOl7H63gdr+N1vI7X8Tpex+t4HX9jxquT+zpex+t4Ha/jdbyO1/E6XsfreB2v42/MeHVyX8freB2v43W8jtfxOl7H63gdr+N1/I0Zr07u63gdr+N1vI7X8Tpex+t4Ha/jdbyOvzHj1cl9Ha/jdbyO1/E6XsfreB2v43W8jtfxN2bk/6pfbK3hV7/6FR4eHiAi/zaf6XW8jv+/GGaG9+/fAwDevHnzKuev42/keJXz1/HvwniV89fx78J4lfPX8e/CMDM8PT3hpz/9KVR/d772r+3kzvOMeZ77///yl7/E3//7f//3e8rX8Tpex+t4Ha/jdbyO1/E6XsfreB2v4/+L8Rd/8Rf4+c9//jv//td2cv/xP/7H+Ef/6B/94Pf/3b/3HyLnAyACWSuwrPxDeNZJ+bfrDFxmQAUYB5gqMI2wrJDSgFIBM0itAMC/iwCtQVoDlhV2Pvs1M5AS5DDChgFSCjCvvPY08vsvF2CZIdMBOE63D70WoDZ+PqJctfmMJP6+GWAGJIUNAwBA1pWfq41/ywkYMtAa7PkMlAJ5uIcdD7yW8RpSCgCgvblHPQ5IlxX6dObf474A75sSLKXt+7t/xa/H/xGY7OYy/t44l9Ia39MMdpiAcejPg2ZA5Wfs+QKbr5CcOa+7Z5EhAznBcoZNI2QtkJczUBusNsAaZBp/cG17OcNKgb55hN0deb/dOsKMz53zNkfxt2a36+IyYEsBzOdKFHJ3uJ1noMsQxgE2JMrVvNzOW6x9TrBp5L3npa/Dv3j6v+PPXv7TH8j5f+8n/2OkucGWBZISkBKgyvd3+THjvKIWQBNkGPj8usmYudxFdNVi/Vvlj79ff3cRXicnYC2wZfnxv7UGK5XXjWsXv6YZ5y5lyP2Jf3u5+nMq3wXg3Mez+LuYGSRnyDRRlpaF19K0rdHHQ3TbQ/2dhOuWE3VCqbDaIEm5h1SApcBa42dU+QzFn2E/X9Yor9NAeTtfgFL4HvH+/gyS+W42L9wbIkDOQCldn8j9A+Qw8l7rymsfJ3524Z631lwnNF4H4Jwkha0FWFdf6/TD+64rny32106OoQJR5ZyY+ZrZ7ec+mlcZMj9fXW/uZWynz6y17dpAn0s0w5++/Kf4s8v/4wdL9x+8+R8h59O2Vv4efB7juzbj38a86UnXZWZGvTyO1OWXmXPn8tWv6XMNgPMtws/Veis/PgfUT7rtoZiSpMDpABsH7uPL7I/qOlN1m5uPRsy1Xc5olxk6ZsjdXV9/U910R6ncf7UBywwzg55OlN39+/v+lOPB5VphKUFKgT1f+CxvHmCHAfp0hn149nUvvO/nn/JvzxfY03mbZ/VzKCmwFurLWmHXhXsjKffMkPt5ALPtTAB4rojwu61tZ4EKbJq4LvPS9WGsW8yhLQWoBTKOwOn2jMO8bntn+MisaDs5brbp3rALiuuI0PvjsH3PjGdizrfnQqz/5Qq7zNzP8+w6+UC5EPmd+vw/+Dv/U6TTPc+JtfJnXtC+/gZWG9Inb2EnrqENPJPbIQEG5KeZ83S+wq4XII88j3JG+ewebUoYf/sCfPMOcn9E+eyBr3cp3BPfvkd7ekJ6+wbtq09h6SP5FEDfX4Bvv+NeGAZITmifPqJNGellgXx43tY7JbSHA9qQoLVBVq6vzGWbQwDtzQn1boDOFel5oRw9vcBWrh1qhRwOkIc72DiifHKCJUF+XiCXhbouJUitkJdLP3PQDHKaYMcDn+XO7aXFz3zgZt1MBMgCA5DenYH3z1wv1w12OsKSQN89w17OkGniWohs57jbh7IssJcrJCns/uTnmduOa+G+yxnt4QAIODdmtA1q63aJicDuDrBBIUvl3Knweq1RTsNm3L2P5Yz66R0sKdLzzHny/dgOI+YvjjAFDr+9QN+f+96znNHenGAqaGMCkiB/WKgTRLruqPcjWlaka4FeC9/pcgWGjPLZA9qYkJ8X/Nm//if4s+//rz+Q81/8r/43+PyfT3j8szPalFAOGfUguH6SUA6C808N5aHh7s8TPvlnK9AofzDak2LAy1cDzl8J8gU4fNcgBrQsaAlY7wXrHSAGSAV0BY7fNKTFUI6KcgDGZ8Phu4I6KJ5/llAngVYAjX8bP1ToYhieeR5cP59Qj4J8bhieK9b7hKefZ7QM5ItBC58PACwBbRSgAYf3DboYykFRJz7b9Qvjuvv9dBakFdAZGC4GXYDjNwW6NrRBYUmQloZ0Lljejvj2H/C+n/9nBXd/8YL3/94D3v2JQldgem9IM3D4viJfGp5/OuDlDwRSgXzmnIC3x+H7hvH7ijxX5OcFbcx4+sUB5SRIV0BXgyWgToK0GO5+vUDWhudfHHD5dMtSWgLqgde9/6Vhel+RrhX5XGBJUU6JMjUILAme/jDh/LMGWQX5zHmK50oLoAvQBqAcXazbtpbSgPUeWD6r0Kvi4c+A6cnw8Gdn5L98h/rJI65fHtFGQTkpIEA+N+hqePkq4/wH4vPra+ZjfhSsD+DcfWeA8Z1aFrQBqCPlKM2AFsP4bEADnn+umD83TN8KHv9lRbte8Z/8X/63eHh4+IHc36hTC2vg3zA+zuR++PABf/iHf4j/wd/7X0CPd0CmgJgbXHVKVNalAdXQpoR62C2WCNrIjTK9rxi/n6lMqvliUonIXCFroQJefabckLVx6AaTrAWm2wEp5yswL0DOsGmgkXAYNiM47rEzCOjwVB5E7pjRuMisXvbvyUJlg5RgQ6YhMS+QZmgPR7QjjW/ZO7AiaFNGG7UrEBMKoiXBep9QfT5isdcHgckmcJtwGoYXg64u5HOFKec+zRXp6cp5dCcXmYe0rIUGjAjfKYIItXHu/ICwRKVb70a0MaEeEupBoKth+ODX9LWWsq2ZuNEka+P7DQltUOjaIJeVCj4cUfmhwdIP5Pj9zqHvxrYHGNrjEeubA9qoWO8VLQvmN4I6CerEjZIWYHpn0BUYn7n5hueKdCl87pUHnCylH3hWFrT5CrtcUWzBP3n3fwIA/A//6H+GLB5AieCGCGzMfmi7/LshZtn3AAApBmlG4+LiTn7dGaBt24KyFspta5vTFgZsrTuD0NcqHMKYJ19HE9nkOOlm+Po6yYcXOuzCwEo3WFRoxLoxbaVsn4l1ENnuu7t2GDSmCqTdGqqiHTKV70SZaFlQJ0UdBcuDwHa+FPUD1298akirYXxXoHOFLoXBtOb3M4Ncdw5s6Ia029f7Mbg+MOO6A2j3B7QxwQR97cohcc/7nsuXinReIWuDvlx53dhDa+n76Magv5Ft2znZvyNAsA96uaFmhxE2DainAfNnE9ogKJP4/PFQ7AZJBcYnQ1oM4/uC4Xnl3iwu59eVz3mZUa8XNON6l7bgn3zzf6Sc/+3/OdJw3GQq5Cnzedohw5KiHhLKMfG+hcZQyLEW456vDXpZKesfyaJcZ+D79zRUj8dbZzr0hL9/GLey2yeWFHaa+nNFkFVWD5KGrt7LyHUGphHtkYEeua6Q0Ec7RxVJGRjMCZb9edfKZwa2oFCsWU6wwfeFnynrw4g6KcpJUY6COkg/yNd7GhbDCzA801CaPjTqiJWH/vBUuq6Q6kHC1Z3yIQPZn+l83Z4l5GVIXb+YCOyQYVmx3g9oE3UDBDD1M9CAdG3QtUEr11PXCj0vQAOvlwSyFBr/u3cXDwL1uRgyz2XAA6nW9wcdxnyrzxeuQXtzh/L2wOd1I+3yRcZ6EtQDZV0qaBAWo4Hpcp6fF+hSIWdfH99fcr6izRe0RGek2IJ/8mf/ewDAf/8f/i+RDidYUpfd5ntfYUmxvB1Qjoo0G9Kloh4TLp/SppneN+RLg5QGLVwfdadovR/QBsX0/Yz0/gIbM+pp3JwjMzqp1xXICW3M3JuXhefa2zvUU6aeWeqN/mojHX2dC/cVfP2EZ7UNyjPNzzY9zzfnaciNJeGaApStOI9a23S3CNrwIxDAuJbryjaq2yuKOgnWk+LyhcCyOxbmButikEajWivtl7Q06NyQ1uY64taOSO/OdMLfPmD9/B4wQ36mrreRMt1leVAsjwPaQBvKVGCKTc6Vcj6+0BGSxueR0pCulTKw39PATq8a9IVObjtNsIkBdLkW2km+vrpUoPheUOqo8jDScZorpISeAdqUMH8yoI6C81eK9S7md5NzaUCa6SBMHxqGp4p8rcjv55u1l7WirSuTFdcZpc74j379fwAA/P3/yf8Og0zQFdDKvVMmwfUL2pjlztCy4fRrxeOfV5iADpJSV5kCyxvB8sh1zGc+YzkCLaNfl/LA/5++M+TZ0BK/P1y4TynDlJflgQ6wNP7kq+H4TYEJ8Nv/5ojLTxp0ppOUroLDd1yvOgla9u9F/NzoJD7864L8UlHuEspRMT8oLl9SXodnynq5oy6B8RpagPGDQcqtfZ2vhvUkeP65og1AvvDdXn5qwC8uqEuCfD9AynaOhwxxLlyWq0AacPqV4O43FZb4/HUUXL4U1JHXTlfAMu1WMTrh0ujUmm7Pasqzg7qb9yp3hnJvSGfB3a9op8dzrPeCcuJ30+yBiAWb/BvndHngf+eXzbmtB/c9Kr97/8uGPDfUUdESUI6C9U66nEoFhrMhrYbrW8X1c77rem+Ach2lAsvbhvqmQJ8zjr9Rzn3DzR404ftJBYYXXnu94xk6vDDYUpcr/pP/8/8a79+/x+Pj4w91lY+/diZ3miZM0/TDPxhfoGUaQnVSKryjwhR+GBiWNxnXT6howquvI5WPGJDOCWLpB0apNld6yZ3NvaHjSrsbjCqb0TMOEKBH/JAUNg18zrQ5Im0XRZUGPzC1O9x7B6aNmRs5K/Tqh8WYmb1IjEzWuxH1kN1gcaM/y41Dy0OB/11HCsL1E0U5eWQqA/VgWD9bgWRAUUiVHr1KZ8X0nSJdAYhgeI5rA+0i0DlT2Ypw7vZrtXr27jB6lsGdtMgMJ0YWLSnWx4xyUJSDoByEynaikx6HSb4a8sUNybhVs1uB1Yq8VpjRALxx7vbR+XBM4v/jM0nR7iY6/GuD1Ip6P2J9TCgHxeUzRT0Al68M5aEAU0M+FFzOGddvBjq73ybkq2H8oBifE9LckJ9WGuLh7BdmvnIB2nqF3RjVidkOVTrvIzN2LdMoKIfEtR38J9HhNgHybNBiyOeEfEh0CgqdAIlMWBjq8wrdZzBiftyBjUyt5Y+cziQ9OMGAhXQDxrKiDYkyuVRYaUg5QYpu+0MV0AYRoROYEkSVWZyQnaTMwLhRTweA8sLoX2SM+HvuSaBFhDED5aBoeVOQ9QDMn/KghVK5heyki2D6LiFdgdOkGF4a0jXTKKkGvXpGS6Q7J3s57hF7uOOtQDvQYQznDADW+7wz1ijXsXYQPtP4nDA+JaRrw6BgxDsCcUNyx4xohL6mXUcxCy8Ls702jbdokY5msO5cmme8292E9XHC+sBoNh1bj77eG8pjocNfBLoKpm8U+QIcj4LDdwotNNKlNqgqszBrgUqCSgLMT9LYuncH6HDYnESzrvssCdbHAfWgWI+CcmJkOK3ougkAhnPD8ML9lLJ2uUO1bkAHYgeAy1PegjRr4VyEs5kYTIsgTASXypsJLSm0upE8KKRlX28/a1beV0vlu+SEejcBAiQRoLTumHanMYKAmcGZlhVp1u4E2HFgpula+P0poR0GmArqMaElwfImoUyC9YEGYjkals8qkA3pfkXOFU/PE+SckF4Uh28T1INyaTa0QZAviY7nXDmXpQHw4OEx0wgsOxQN6JDamLs82pBQ7ke0UXH9JKMc3QnIYTDRSJm+F+Srbobe3DC6Pm6jegA1Q6cKtMZ3j4BOoJo8IGwHDyLNgEnzs8t1zDh4INxVfU08N+8nXD4f+36ro+DDHykNorsKOVbYokhPCboIyl8qhhdDGwYMkyLNDcNA+yF0TyoVuqzQBmDle3Z9PvCMs6QuugobFddPR9TRA6YHwfBkmD648/aVuBOgyBcB4Jnd2TC+49y1SV0OMqQeXLbccR/DwVTIOtLQdPmUC4P8eHuHOiXYIcF07IEPCf3QwLNnn9X0oJ6p9DNU4myt2xkrawEWA44jysNERzDLpnP93BYPkDDrCbQDA5Nhe1kS1APfZT0xgNMGytL6AJx/XmF5cxT1okhX2g/pQj11/MaQrwLc8+zQYkjXRoP5Wmk7DRkYB7TDiOXtwOeqDMDUQ4YNijoq6kF9zeiQtOy20EBbivPBn/pOaey7ka8lIZ8TpBrS3KC1oaUEy9Lvx6AB91S9G1DuMu2HsFXCXBmU9mjoTRU/C0D7wG1dAMymvmUA7OXnhvKmQI4V42HFumS0DwN0UYzvFDq7fe0yFAGBdFmJlBKBTBOSCWTBjQ19+K5h+Zng+jkdqeGFZ9v6YJwbA9QdtTrSKS0Hzl85iJ/ZQBvMHS5+Zn0w2GAY3iv0CRAFWjhenqiR5s5j3YKfw/Pic3XoDmsbeb/pHe2Yy1cN93/0HqUq1jXh+u0Rx98q0kLnqxzoWEvxf1e33c8MAIiNQMtoSbCeXb+9a0gr8DLQ6WPgwx1JlZ6FloouQ3V0Jy8B1y8M9WDQL6/445/8Fs/LhL8cH2EmON1dMeWK797dwb4fKfsHP9+KAlWwfqAtXQ/A/Ib7ZXlraAN1fRpDZt2f8iN5eBaXV66VVKrOloH5M0O5axi+vODvffVb/Kt3b3Epb5Eu0uUdoBMtlUkDqYZ85lqYByFaMki7dVbXB0GdDMOzYPrekK/A+FwhFXj5SnD9dNtjuvL8SIv1AARAZ7pOwPrlChka1pcMWRV4u+DxzQXP0wHL+YC0CHSmX6iF62oDr40MSJP+N30C0mq01dqPJAp+ZPxXJp6KERHsMHCTGdLaIO12U+tqGJ88IuGRBkaM6CR1JRuGcg64szuusXEbaCw6FMvM6ITm8aM3S/zbkOmIJndIQqGbwcBNxUgQHQ5LChsAmRuNLQC40viXaezGczjKqPGC4Qxs15K1+uFDBcVMN7b/9kyR1Mh+CKoClnnYpA8ZUEObDJYMUoQ/YVsoU/9lyozA+8Y3pWOOrITVXZnBldrcmRFmStQgSJuN6++jS4VpoyUkWxRJq6Glbf4oeO5I+EEOsx6YYFQ+BMX8wAVMFJuVs0W4pbhzV2rPoiMnGkWNawAFDMxUpEtzBcW5SVcASKhFUIpAljDafEMmARAHlxFl4FAlJIeteaZUDhOkCXDezc0uUGHJ5zHQC/GxCihomKQlskkRxY7ssXUHN96ZTpgbETl1WbyZo3BGYz7NXFPfbva+d3y/0On1jwsPJDuMdGh38GGJUoP99cLJVt3eeX9/j/yHoUinOmQBPcgilY58y0CZGAAII6Rl48Hgj93UKHcl9g0PXMi2f7U0oCjRrNXQn7hDNHfrtpsLXbaovQnfT1frnrUlcK/Xj6ah0lhh1iDdBNuQBGJbsIbznXoGnjomEQKqH8+tL0wz2CC3NxVBG1J3wClH22HYcjy364VVupMSP1KYZZLm87ILmNy8Q9zyukJscNnQrt9jgkN/70VMI2NTQ853mZJmN05/ZIhkGqAP95yvcdjkareOUcZgjkxAIGpiTteGVNyp8X1oan2fihkh8eGETaMjEnb3aI1oH88KST7578GgReP16pTQ8pHrH462G7EtK2xwWfW9Bl8aE8q4JUBMYGZoq6KYbPLkwR0+U19SGrVJCOW0TZaleZavYUMSRUa6+rkjzNaFvEk15GuDNA+yZnGHkmeNVlclhesrjcFZ+BqG89my0hA8ZP5tSFs20IzBwKzdsAXAoE6MZYUMGfU0wZJCxwxU6oy00OArRwZ/efZQtm1VoAnPQqFhXFdBHQzZz1ITQBDBGdzIHANgOySZ+vz4O4ZzLGbQCgxnGoVpcc1WDfmFz5Su/FsEwTrErxnyufZ1jGA3ER4CSe70uC6RsgsWOMS7Tglt4DOpzyGDDOiB7HxpyC/lIyfXZS8BMOoNHEaXDUdWTbmjMnjGC6xpd3Z75tbfKWnle0yJ8oJNXiPLF2dfGwTljkatJeNZ5nIcesMUKCfaOevJAxEzz0pdtrmzJCg5QeoEdTtm/EBEiF4LxIgMLKfkThrXLi1hqxhMgRpGsG0ZR66doY4MsKbZMFTugXJHxFu6NKS59fftNmgNW3ELnvJ5GUCVsslcJA7iGlqokCPjXQ5KR+IA7qNZYYPBTGBVoLNCitC5FPGsltsVM/d6PQ6Ux/MKvS48Q44TrGx7b/F7tCHgn5Tb/EwHth7Mg7pMtFBe3bb8lOs1vhccvxZIge9RACooR2B4IuS0jswaSuP7tgRC0jUyhQy4DucMGHD9RLA8CvIZGN9zvZ5+ntEGBpae//QNZS0Z0lmx3guqP3voqnoC8hUYnmiLPv90hH41cn9cGiBAObnMJoU0YHkDrHcRzKGJez1y/55+LZg+NNq1br+JMRnXRkEdDeWS8a/fvYVqw8P9BbUpnp8PeJpTD1jWU0N+WyBqWC8DzHRzqiszx21kEE08yCAeLJZn2kXzJwwitNF1YHU0RAHGF67Z8lZgbwzL84j/cv0J2kvGwQMW5eR+RJHuOEoFNCJago4EaynOdcLH02JY3uzOSXAOnn9Cf6BlQtfLEbCjoYGyYImZ90hiEikB6FOGDcbtkA22cs7aJVNdqXnSzx1bc/0zuwP9jnJfDoLmR0nLvxs09/H4/Z3cMep8DFILs59JoHPqEU1GPhsjCg4PARiRNAXhKmH477JB3aDYZ2srIVISNUPGw6pNrI3qGYPBI8uHjHo39O8C6JFKwLO61aBL685rTQl58cxLqbDLBQBYg5UTIWEjp65DNP0Z4/m1EAZrQ0K5yzfQn4h08fsGMYdlCNBGLrQUYPqOp+j1qwYbG7AyCipek2AJmD+lsZRfBMPZoCUcMHOnXqCXlZHiqHsB3JmrdE4k83AEnRK5FBqJ7bBl2pctimt+sHRoWzXaCZGl8awohh2U1Q+FlnLPNoYTF5Ag2Mosp8PTzWu2Oa88JCwr4FHW4bnw/YrCEqNeOgO6KBVIlQ5D6RsIEVBoG7Qx5CugdSKQ0wnSEvDdTti7g+DwzTjkdwaqFoMsHmntcq5oSRgpDiertW5IE6ngDmsDM7gJm+EfNeDhlJp1Z5wGxe0zdqO/2ha4EeEWUlopNrFuOX5krdBn7fe52ePuINjHyIDG92++juoFPYGWIMwSXc5RPUJ6FJQDFWedDOZBnD5yg2RDKwGb4gFaJ95FmsFWoaxUz/JhVz8ZRr94SYNiM8RnhzU6siMMPgCEpTaBwmAF3djr6xpOy5RomNS2OTMKQNzZFmE2K5yz/dg7lu6s3axdZAIiCz8qylF7xi0O5jZgCwxUQBfpkeiI4kbwTs+rZzG3oIlIyAhujH+5zgxQJgVkgh11M9hEHJ2invnYIIGEdLeeHYeA9YGl9QyUmKFmZSYKgMnDTc1oh+U6Z0DIvgAdOdCdSwMhogDqcYCJepAAm8FvhsFLBWxwGY56UfP77YKqNinaqJBiyN9fvDxm6AHSNrqcF3MUyg7i7g4PHeBN5gm9tR7QhNFhq82AJptD0DPn7hB4QEiExpmCvxNgCwaKwKYNmowavAeNqKU4m417b3iuyIEkGqXLNQDKWBagEHUC8/PDZUgszmUiRsQjo6YjoIBeCh2nCACiQZSesR0JodbzwjIJkZ5dltL6vkozAxqsqfMMYwNkjSCbwQ4VlvkZqcw+tYFnAFRggSLa66mkHtzYEAvm69kG7Rm7HpirLJPg+/k6uHEqZjxn3SHn3zyoU5hdk9JQHibP+FXkJw+Wu3xsmdINbm7jABsyS4M8My0z5aZN3P+RNZ2eAqWDro+bZ4xhIKosCWpmJji9LLBCmahT2uDVHkSDCkrOdHTzBgcNe7geeF/sgtabvKMbzMuDoU3gWZbcyQ29UrkP6tE84BLnOtFgaWmE4SbB9Ysj2kRdqHcD0qVg+Obc9YQllr5d3yYMl4bxQwOsITvMtgc8KvcMnVs6QsO5Ic2GOiasd74HKgMn8yPrRU9fA8OHlft+YpBdhgQV2qm61K2sTtCDutradj66noogky7Ua3RyFetJML8F2ugJjYuijAY7AVaIFCA8F8ChMSBUaKfqeSFq8s2EOiqO5xXyfKFdene4yXAtbwR2BINDZ9pD2Z36lgXzZ4KWjbDlUaAzM3ctC+avCo6fn2H/z0c8/nmh43dtqAdFOQ4A+Nm7XxesD6mjAkwAOBqqDbRpWW4gGDzRNX9KZ/O0CI7fVsxvFO//rqCODff/SvH4L+iorXcKy8D66M75mRnC9YEwWKmC4YVO29MvFOVkePzThMcPhRnne4MNdG55Vhja1KCzIl0ok+3LBSIG/PqIw3e1w9ihguk9A/LLmwy5E8hzxstyB31Y8fd+/huUpvhnv3zE4evUob1zFtzfXZFTw/dVUTwwbckdyaeG6nWspUoPwOQX1u6uJ8H8CQPZdRSY8KxNMzC8NNz/S9bjf/jbD8DQkN5ljO9GD4xR/tc3De1YoZeEdBGe1Qt6XsSE+mR9QIcjp9kwfV+RLxUvX97Wj7WRaICWDYdvgeHDTv8lQ6lc63wGEFWtxuuO3yvaYFjfNNjUgFVhlwRdxfczrwvXkQD9mfG9IV+Au9+sSJeKy1cj5kftkO0fidH/6Pi9nVwe9tshHVnBEJKI4u/hMPTmaARZky0buhvimdYwynnxWwXC+8PhG+4oe3aOUE7CNPth7RZ3ZHSrw4dgfvi4YQjQ4LVphGjZoHXZIU47SFiP6DUwM2o0rkwAhGHmwxxGY+G0+aFn6tEPMbRZkK40lNpEKEEbGzA0BuoFMFGkC27gV2FoQtxpa9bhlDYkiNdJ3cBfd7C8mPP4PDMbcYD787tBF/djloHz2LMnbthJZDg/gi73EcaguaOY0AMThFXLLfxUt3WPAMg2sbg9UBt6LYS6oxubeDNQ0demeX2SAlt46K+gJA9o6d4fTLjN0t1kr2xbK3PynI9cH3cG/ZCMLNtHcFZeWG7/9VrsG8c06qVd1hh84AsSWWB814+zwCpbBvTj+xkdONvfP3ymtsky33G3P10m+9rtX9wT+iaGGyGR7e/mvD7xu46EiMyrCJ1Tq7DmeZydgStm1DHxzDGX+zpogwfpItgi0KipCdkKRzYr1YvycwwiCCRS5eFEhdz2m/gaRalE/K2hy/Z+balH5cZpCoe6O7JFYEWgC4kwdPVg2WIbwgLoiI6Qd3PYO4OE/tPXJIJkehs8iXm1kG1/nt16hbEPAXV36NPIrpujJzRq+Wt3fjkX1OGmshFN7UcDkHkmGNCz57ZzQAHqpTbR2spXga1CpMZAnahOPrPtz22uCH3z33u9plRzhy1u4AGP/bPJNg/x/90Zr8KgY9n2x7aYccgDMgJ12NbXPKihHvyNOeSeTrvgoCuivb6EO9kCBkXFKGgGiMPzut7ci2mHxdq2zh+NXn8dZ07zNQn4fvUAXpRCyLZO4jwaPcPva9n39Y0OhWeSAasgsqYkyCquz7esARBBgI/05e/Q41vwZTOuwqne6yJmdpmBx4JNHnzOibDAlkUNfXuTnb+dRAl5269dOEOFsNl0aRieFtQpodwnZsYsjFjp9fD7PQa4igs9kjl/bUyQQLK5vbPxOGBzTD4alqTPj7RA3cQfd2uEnXg5Cqf/GGCDoU78PdFmH9mKbi/ZoLdnu+uLHtSJF/SMWPYsMBzhoqttyDHQiYv1SrNnxoVZ55jrXk+6G21w5zZkOuQ0bevU1zAx2BpJAsq5B35382qBANzpci0AVFDzFgQrSwZWZTKj+XzqZqO2gbwIPbB2s2DmQfOtFITBIw+CFnc2LWwkOoyaWS8ZNZuWmOVFA5YlY3T5JjGSMkAG/r1Ogvktg/LpcntmDs/m2dMNIszMpJse4PleTgyw5RfxelF0aHTIkDpyYi+D6eqlMj7S7PaAGNa7jJZpS0fAmggQ87m0DY1wzt35W++T78HdtMaa+14zf6aXdURtChNHVdHvR5sMtSlqU5RrBq48S9e7kFGWbFm3n/h+wAYVH54EaU5dx7FGm7bG/Pmx+y3ykqGrdIReE5/bVSCSvK7ZE2PY7XWhLpHKd2ojUE2wPiRyJU3odbGWoxwhIOtgYHNFR7fEOVaO4nsPPdiuK8/qUrg3dFE+X930t2VegxB0ymK+cs8ujwlyTzRJWljr3Qz9nf5N4/d2cvW8AA9TdxQAHnK61C0CH9FkCwXN2+bnFWkhYUPUEcJZ0KQQntoya2WkNsi8g56Fs1BXGktLOEd8c7s7sJ5qR5BiLrjLm4w6RWbEkFagzazt0plROpsSyume73I93Ryc9X5CPWToQqa0gNWhwRG+jBCXQ0ZkFgBGpcpBkC+G8YlR7+WeG204N0YcF4XOguUNcP5bBXKoGKaCPGyK6/o8odQRsroB5RCRiEiu94QvB2y6nsbONkwItbCGzOGnJoAuFXpdYUPC+uZAGBdAiFtFd17rgRC6Tk4weMbUNqGGKVoTHiLhVHZD7Hc4QODBAgCyDKylCyMukbSLEUK5ySj2TJJv7n5wVhr96Urld/qadYIdKp8UuBs8Y+Lv+k7I0JkSjeybrOXuoI1IOPADA6aNGRZ1M2EgdEg7+LeyZfzhmXEpDVgb9rBNCeKw/QEfzqIz7AZRSNScWuIBa+7QbigLrp9NPLQ1sg8rCWe6c7sbpnTemDn1Wu7jiKhhDLnWlQ5+MPtFhlsaDeoe7U6bkQhsUfdwdrcX9/snQzkxihlshXuZC4SwDbqr23RYexh6UXIw5J4J65CyKDmI+nmXRWCT156xSCTK6jDyBmSD13QqMAAyJv4YeqZedpiaG5Iy33OyVuzA1jdyBBUG4vzPEQjTRZDB+W0raznHJ+k1nXk2DM8boUo9Df1dxAA9E7aI1hwlsFv8lDo7eSd28TmLYAAKoC5TPxgKGHbORiAVwom8rMx21QqZ15uvbnXcCns4fSSMXp4CdARIkBwG0UjAHpnloYOaZmPmwutrdSnQ9+ctECpOWOUcBqlfF7BE1ATh3rvzbR+8csNrz3BPdIM7rI3R7Za3fVCy8eT1jFcz1u7WhTqrjQCegKG6kzU7oZYTONmUUE8jGVefIxOYu8zHmum1oNeni6DVKLPZ5vAHyxdwyAj4xGcd8RQOrjppG9EKPh2JqIhg4m3H4cbJZCZxoOw7QVL1ek/zevg6RHCSWZpwBCCcm/zCzMfxa+skJ5F57sNJlBDM7YEW2O1FvRTo6JDvtHNg3EAPA5uIHJfdfbAXQB3IK2AJyFfKXy0JUrU7OTBw7URgR2E97lwh10L9vtNVYob8fkZ+FsroN99DP3uL80+/wnoU5KtBr8wCnb9IHZorze2H1YjeweYQAWCtegQ0AGat/D3MA/4bFJ5OPQDP9vP82EPJI0MjjfMvDViqbOdvbtDcyMFhgN2T8EcuCeM3CerbvrlTIIVrsHwybUEC8xrLp7nvVXM+DCgwPK1ESomfNWvDEMR3i5Nhyoj1jo7C8TtyFyxvEp/FgqQPm25s1LHlILDPh15GJtXQvCSqn1OLQS4Lg18ewIm66HLMWO/V9z7lvGWBpNSd3bTSkamT17xOZMDFuwH5rCRKaugJD6mGchSYJkg9eFBBvIzGPHBI1mu1ZdsLAhy+MYxPhvmNYP6UzsX0jms3PNERnN4ZDt831gj/AdmJ81NCWw7QlQ6aifaAXCRmrl8C558KDt8K3v5zQsmXByI0H/7lBcOvvsfzP/wJzj/h76Tt7FWv2Xz+GeuOH/+UNdnXT1jz2bwuMy18B1Pg+Y+A9bHi8JuM+7/g+sQ+O/2GG7QcyCoMA46/jbOee+Ks4igBQx0rZFbc/VlGmunovftjzv30ngiPyIwCHgBQAyba4r/+njW5SIb1bYMdGtKpQMVwuYyoRTF8PSC/EOr88jP0unTAHTuwZnZ44h55+QPC7t/+vxuGc+tJsUB/LneCd38ydjKs+z8nl0+5tx6PFAPG9wItju5yJ79lMBjjdleaDWNjmcH8Kf2zclBoVWbAE5F2QQzaBtpkdWQ5yfDCrG49AC9/IKgHw8Vpm4ZnwfjBbRWDf19Ql8Ss9I4vkXrD0BQYzoLxA8mmjt9WlIPgu7+bUO4Mj38K3P+qkM15UpQdLP+vGv92MrltO9yh+/CVoROqAJszIugGUzhP3biMa+0MP4tgQUSykwAtYFgRjW2bMwUXDI3MH4C6RZpb5mGqxaDmyjkLGhSink1IDmUSAGPqtTRbXRsQUfMOk+xZGTeQcxjJ0p2wltA3Za+/6g6i9Y0lJsDQoEODpgYRQ0oNQ6okJkhMoDtQk9MbZ7iCtR3xnEnQkEiwFHMT0L/dAdfnW9GzEKh0wFiPK5Ca+lLF2oSjpn1urK/n5oyGppAbR2675xb9JPw50REUd86iztOff9vR29zB+Mxm4hkJ9DplQpRvZTFgtjfPs8/y7Q2n3RxJ46zvx1Z72mB1q0WP62x1oD4/8Z2Qm9817KNnCaOoOwT7h5D+bj3y7EaAwo2aFPuTzmAqu2fBR9fyNQzo5w2SQjZjuqdaZbtff47dv9vncTs/fIDd563/BJTF9g6n7K4NbJm9f9P8yY9+wrO9vv/CGTM+KGsXqSNkp1sknjccop49Ue6FNTa2oLO0d+dJ/H02RyuCFPv13VAX+/dBZ1lU5fpECUPUyGuxrltvUC8i6EdhJw26dXLto+zb/r4AumMrgZ7ZP5q6Xlbq75s1VmxZW7MNgr9bl54Ri/nAj8hl3EvAAEpkN7Jgq89zo8YP181wtu7cS7PbMoVdylIADyLB9y4zeXvntn/wB88lN4E3+NEUOn7rHrXdz5Q16WbipSri58Tu3Rtuz9L++9119joqzl6jXuzlCh606q1C+pfRofk9O/jXHD274aiSuGwQO+33Tc/27nWAuBEUWYJ4HgMDqNUgIpBoK7Ewi5fWyGT/mD6RWz3+I8znUg1w/guzeC5jOkTMEVc7mY97qNw8Z5/CftbbD/7Wn2k/uqzLZkuslWfuWtBKIanabp4jCxYZsYD8dh3t89nfz88B8//XuslxoBFCt+5LD/p1dro2PhN1l5sdYzfvKv43caiHeHa3LZuzTXnZdPmmo/yfONOjrCeQRIh3blDzsykc9ZhWL0XSdXB9iB6oj3tIcJg06++9DwSY61ZrfPEtU+/n6Y/ZMPFOSjSJwjY9FSZL3xzo5D/BG9IzX0HA45k2AD3jzCCvdhELHb9HXP1QzknWI65fFNs6sgxHnAG7kfTMobVioOMt5NEA0DN5IYstkZCpZfGyhpg/n8tSOyKk27pGPSge6A6Cp7TQ9u33SaBe9KxfR8/4/ZkhRA+M5Zn6oBwcYeFBipAnSJyVXEsTykY+szXR/Im3sJk2eLWtYQ/fyrc1wXIZuCjJYIcGPRTkoaBVRS2KtiTkcDInsMa2B9HRa3H3Gc02EZWQvEadJGoMsJuXMpIRm1nUfDYn8LIuQ92fqNu1LZxb4XyZ2y/B89HNgtHdKEHn2rh5/7bbp0ZbvbbtrLeMnnHfl2J1Xd5i32G7TjwzdjLZ700ehjZZP+M3DqO/3iH1ezu57TQhtQY5VzKXHoZtRsKBBbwOiNGR4Wm9cXBDyUoz0t6rwPJ0SxTVrGcDgt2yR+Crbe2FEmtMbCAZiDQSWwUcqm8Qh+HGJimfsyB+OCfo4odBdfhxh8cR+pheFqQXbFmZ5hnt2pykgPUthEOH4UbDd/QFXR9YGzO+565eHhPWk2K939UfzopaBVVIQHV6e8Fnd2esNeHpboQtCr3uDuRGwQwIj2VmSMVh4y0YGyup+DsMaA/vLA3juxms19HN0A704txoZDghUzkllONGOAC4oK7NoUY8aOubQ3eIAfR2MJbU2ZylE2zA+P16zNvv9kaFezQRwBifGtqVyqA0ACPQwMzW8MwWQi0L1jv14v1dVqpt7LMk46L8fNzaBznR8PbssjRmNuvdeJMVEbNe49mhTdU2lkv1A3b1up4gjHFW0t7bN/aOpn442z4zEX2ljX0SA37N+lt4RFl7NH8PbWIUG9C5UUaqn54lOQz3I8M52koBvU1LOw7O0Cpbdr2wDm8fyIkDLkhder2oBx/2gZl8KEi5ojWBNUUFeFgMgvJCOWT/tB3ZkMuEgHMac7dla92RKRUCX5ePAi0SxCxVISXdBFV6veC1doITtgHzoF7imm/1wK76hgQMgK61Zyp6VqsZBOasvE6K53WqgXiJvRQkQZFIZHbACMPaBaMClbJnVbREBExaml+LDofMK/u5RlufvSMZz1gIqZcIdoXhFBHYnUPeZSsTQcA6+MZ1n1I3sGEkCqRzocy0ef1tz5CHc1ujpjp7UDPkMRbN9Wt2EpejIHlGlb0O0eWuHpNzBzTOwWmi8doj9NYdoX6ORKZ3HJiyH7S3BFNnnQ0Z6QaZ7hAuUQbjEfAwnmwwyLEgT6W/TAFQnUuhHDif+Uqnrx4Ey5uRbMfXBShs7dP1R0zHwlZfvQVMD7pRV4gZ69OTQGqGFLvRufnMCe6y4m2+AMq+rDSmA3FVg+gxAnjOqWGDor45Ug+NO5Z1v2agIeKMCq6K5uu4N6jSlbJkLutp2dp9RMBSF6Iw0rrxebQTS3Py8wX2/XvyO9SK1jYM4vrZEWIJWlgypQ2sbV+py7iO4m1uqreoyQjySID1cYfv2y0yxgkFdak9aGbTsM1VIZGTjAziSpn6mQIP2ktpaI8n2OePWKeMfGnQEm3DZGvdUb1v6Mr5yNfqKAJh78wPZApfPzmijYp0rY6isI7owv0EGxTrlLD4+TicW18TBoOlW4r54hNoPBvqCMCdFV2p50qljKTcmDQwQTMBporlrTK780xdXk7AXJQM1R9uz1wToB0G6HWFvNAmUTNn9WfPaF0q9MMVNmasb7wDgyMJp28Xso8jnCbB8EJumHAeTGkXAOiOEkmH2pYNF+vZ5XqkDNdJMfpZW09sjxfIOV0axg+gDlegJq8xT6Eb0PeWFmB8x/kwh4Qmb51DslYGc6LUR1xvGaJMDEiXCTlK55YVVjfUiRZnyj0mrHdAGxk4nt8SJTG+ZzuncgS+/xOe6TVa1AidzPktsN4B+SIY39F2Ht95LfEbwXpPeGk50UE+f6koR+D85R3kv30Hy2R11gU4/SWJnS5faG9bw/pg4PIZs9/mrYnqgTW1bQDyNTLQwPCUoYXESy27Q9qA8YNQH3hboPVe8PIzfu/wDSHIwzMgpt2G5Ry3nrFNMx3dy+dey+3yXo9GqHMCkxgvGXd/wfdd/hvP+NtffId/9d0nuH57pDO3CJK/S7nzjOaLoNyRZV8Wxd1fCFvIReLdgCCWfP6DhPSZdnvCMnpr0fzC341PZEqePwHqfYNeFMdfcQ6vn7P+fXivGN+js2RbAi4/aWiZSIL8IhhegM/+cyaxrp8z6HD4hojTcsf6YDHKKcx1QAOunwk+/DFtuXzeoMuEhQMvP3N7pGx2lK7Moq8DoJUcOgB/D884lxM5W5Y3RG9O35G92RLw9IvMDPL3FQhyuH/D+LdAPKWEbqwVMg2dyKF56wh4ppPOjDc+XtypCMijwD8HGl4VgBxuDVEDol1I9XZFCv8eKqnxwyDXDTpCPH/zaMgtVDZqWYIKn/dRpGR05nZOuERWJozpZYWMA+o0QaA0kEpl7Vs4YO4E7A1UrdbpyYk7J4Ph8iahHtD7vLZspNveKf32qLgbFrwMI54GGoy2ylazGJGyYGUMKDLQSX/aqNClYXi36w9rxnnz/oq6+q6bBtYg+nwLtrZI4lG7NijsJN0o53taz3zD6whI4LBby4XZ4e68ymYomh+WbWSfyf2ICGx3sGyLAOpi0Kh7doe/15koSUrEgOT1tIB0QyTg0b1Nz0fO/21WywgdHLJnK3aR1NKgYaADvF6Q24i63LlR09pm4A95m/9YEyVxTI+I5Y25VOrqsmueOUNHLgQEnXImN4ZjRPnyRXpNZ3xHPCPfURLqzoUqnRIzYAnHaFd7GnvEQCPN5b/X9rmDG/C1PXoBLQTCkIeKcSgoVVEKYEYiCkAZYYyIpAizX5GdEn9W2wW79mu2Q5R0p3ef9YpgT4sD1536ve9XDOlaXK/gh2iEFq8RNZPuAHrg62Ydd0ELkr3QaAr57nJusSewCxrA63d26AClE9UDCKEzFNSlHhzsO6k12LJBhW9apScP5Ph63UDuzTY28Kw9Oy3xfrG2buz3+l4AUUMd6Ax4mYWo7wMYou9yz7z53rKkzJx/lNXdE+WQVE76moXD37MqzTgXSsf5FkFRe8aky0pkmGO9gV4KYQUdEroPYpqGgbhl+iL7Ys4gbtmg2TAMbKnWmkCzoib+rQ2E6Uavz5YBRH/5CECshcRz/nwMFLheDuh0296nlz0AQE5bvDBv52+0qYHBs1GCNvE66cpgckBFbzKyIRfRmzGYpsWz67t9Up1ETZohyS2qpr/rLqAZRGoh/2k25Av1f2QZpEX9uXVDqg0eHG+Gej7vnNwNxlmOCcOVRjFHYwY1Au5G+0EXOkxRorNvOTg8V4zfz1zj6DsbOq+aB3qcwAvwTBT3TlOBNO21wUGYqYVnst1NmD8lfFeKIVVDu09d1tvoAYAFXq/M0pMge5Rm0A9nOob3EzNtOzZnmdmnV7xsKVreRZ0egJ6RRd45Zat1WQ/UQs+ENnFkn+t5bci5oVaFetavHWiL6cy2iG2gvaM19qz1MxLweZ1LL0NDTgiV3wSsV7+wnzMevd1YNaA0OvTN0MaE9SHTibmyt3E5JjLCekAz3k0aev/eNips3M5TqMvwxP8plUZ4PUQmWZ1ginZdS4J6YOs8torc7KT9eZzP/P9yggeLORdBUpQvlcmEwy5jFgE1gT8n2dHY93tnMzWyEJcjZaafJwaYZ0LTbFgeFMsn23f6GitQT827fiiGJzoj2Ym8onWUFDqqdRSsd97e7khSyfxBcfitdAiqLg3r3cgWdLszrIQN7ueYKWCTMb91kN6nNwi5yoHvtN5HcJfQ6+HJMFzp5K6PDVIE03cOu7/y3YZnw+G7tgWFxR1pMyyDkAW8br5CBCrNBS9dFKffeBumseIfvv0VfvXhEemFct0h+Qmwgc5yPjNoKacC04R8VYzPdoPAiczp+giUKj3ruS/Fiyx/mhmUARhAwlW9z62h/dTQ3qyoywh7ibZxZMFun63IhxVrOkKaYvwguPvV4omgEaZkmT58V3H+MmP+JIKdO4SBGepRsH61+n0J+e5EdEdDeaRO5V6HtzCSTq5rxXpHiIBUU3/7vCXe6/AtAwHLg2B+63NS2MXnrzP+rcCVI8sDY1YMip6ZUCehYNsW/5j3qNugrFQ0bUyQuwMvOyaHZbjD1pT9KMHsSG+6HQ5J1G0M2RVdgy68bh3CWKKiKe5IBkER+9L6hnv2A8phf7ruHKDIJmSFYNgInj5yhiw5Q+czmSDrQTzSF9FeQfSlWu+cljsBaPBMFQAj9bsNQDs0IDesS8affvMZlnlg3z8n4NBFOqlSh8BUQ76UrY7KDJoUbaUTxbZMDgmOrEUMZ+7FNHQjqDOkekZH3djNZyrxgN8EFKkNihTEHpHt2cN2TqyXhtHJkEJ4hgmhGfUQQQJ0457OoW9i5WFDGATnPS38TCfguQbZ1Ja5T/NWlwu40xDkFgBrcff1t7t17eubFcjsmfsxZNG8fpj/478cdIPoGw+ydhrd2Eh0OrymdM/OGKiELmO7OsieHdjBYCPjzu+jK4092UDAlJg1oXPS77nID9879lbAVHaERAxiBTT1tsQACGOf8hORc66hMwqujJzKrDATLENmFtco/2YA1GAa2Rtf65CDffY0YFteR9kZe8OhjGeJ76wGDYhg/C4zWKDh5InARu2w9uZGvkZmPgIWXnfegxfJHViXlY5Y8flubhRFOUEbPOMu6AZxBAOC3j8ytXwXbMaSy2UQqwwvzNzqQoQLRNCOO0bhPWrDM9qyN4rWgojKiUg33nsv7cMWJAhH5waeHtePUpEsQDWkQN345xlEAcnCxoGOtq8HAIh+FDwCqH8TOuw+elIHrNQSDaUeTGt0VjSzz58YSD64hCxbD+KwEUJyMq5tjtphJDt/EqSLy9RHSIfeLimY3NVQpmD9Ra8rZecBoFVBKQmqLEGpUVtkjGgnJziyBBqULxVpdSfzON1Cb1s4mSUu4ZBb67LOwK7L/sqMrwzuCFzrDcqjy0bAqeNvobt9PXTXQgUA6jEy7ubcEDvnwPV/Z+NsAs0e6OjzuLt3dfW15zIQN7B8L4Qej9rePg+QbZ8khd7fuZPbWKv45PdL3srKZX1Pmgego5jqqMA9W1fxftsZBADrQ/Sy9eCPCMnNggBT1Z1uR4dEUNCvl66sy63OD5HfA1po3+RrRR0U69vc7ZYOA/SpIYTPPBg8bOtxyNBPHvq7RfAODxNkrgz6qPSM8/S9Is0baohr7AH7I/vQ6sp6/+pMz5bQ0ThpZn2nrLTjbFLY0KBa0ZqhGgNVlhvMtNs/YdTWgXMdHRvCntjqmb3Ybx+cNNezdwcmPSrrgMv9ANx5X93o6rBzMD+G/IfstcGd87YFidK86fVwgOMALCfdsv7CfS/Ttr6WZENmzGzhFe8Q6xgESNKYZWQPU5d1gzvI2ksyOtS8GMYPtEvVs85i5p1HtmBOWpw7ojHjV47MFA9PngBw5zQtbBUUcFAIkM8M6qxvDOWhkSH3nszsaUFvW6kzddX5i9RhzunM7DT3FJ22Ogn73C9GMqojA7b5EuebO3gPIAR6APSszLImV/8L3z0XZjTr0QON4SBlPwMyM8E6c27rAQAEh+8bxn/Vui3UBsHlM+3OuiWHT7seX+/d0T8aO5wAQBHUY8N3/0DRJsOfvHmPrAzmpIv0oLMlb/+pDGwVr9+X70fkq3TG7+snRG/u91N+QT/TIOiEknVittWU7ZvyhVny4S/HXr9tmUEHzAn1ruFlIvnU8EJ/oX7IWK+sd1w+aZCS8PIH7FFeo0fyUTC/Scz+SswHtiAJyEwNAMiG+bPWM7aBYJLZbZqJreu0RADHzdWAa7ufDvB98oVyNn9qnYF5jwBc7wQf/mhAnSvwH+HfOH5vJ5ftTwSWeKl0WdHGhHriwSAvBq0VWkl8ATOH+znsy2uj2hAkJ1RmzaFOUSujyXqmS6JX2oGZNB6ITgCT3LB02FBVZpehYWhT4DvE1heEGHy+UxxmutAwkxuSDV6/13MBN0ZRwOWkGfJLcUU2wBIzyloMktkKqA3sHxY9XLWCGWn4xpyBZoL20JCPBeWScQ2qcO+ZS3rwzaETs565SC/r9uwOZUuRdVGBTRlpKZC5Yl8Dt8+GWWRWPIujc7lx+POOPbqTroxK47woaz5d4W81wMB6ZPQ4XxqGD4SapSth5eXuiOVBN+c2ovW7aK8plSbrAraDNl+ZTYkm1cOFB1Q44GkmjDqyERIweCeeQU40vsqPULeF/xGtdwK+t5ODLUq/wZabB1m0sE8uVLg/GqCp9GxyJ0eJ6zkqQaT1TE0P5kzDrYO2I4Dpa+dz3R1e3wNiJLEgS6FyneAGu6MV9rV1N851J2sCszuyGVyeu4ZYZLHRs11BvEPjhTVCuNIpT1dFNUPLCWtjvatEcCNZh2npsq31nlm0B8uSEM7dWs8sddhmQ4fv9jm0W7dcIjtdAbny+ZuNkESd1WGvwc4bDlnd2lHxF1vP1I0XIPpRKvsxutND1tItALeeZAvsmBvCiyFqVeI9O5zMnW51Ap7huUCWzQHZB110/UiOUvKgwHYMSNlIlixvsLcIorQp98zHzWichx6Z973RkkLRqLPnheuza2WEBDRl8GDPtNz2gZvdOsb3ok5pa8XmtVTHnZPr2b7od0jjWaFJtsyt1w9DGE2QoPP2eap3A9Y3A3T23qRAd+AxWt8L0QczLS7z3paJtW5cL/HIfCtEx6hWpOSQTsDPxAhy0vDPV0M+l55JtSFBLmvvFd9/evmCwXLayi+S9j61EsRVSli+ALC1IVjXO1O7l+fcIpi2eZdqXcYiG1yOCeWkbAXzXF0G/DselAk9wN7C0vc4EIYTNp0fTk7b5LzD8hvJoHSuG2po57iQRAzM+p1OfV60XLuT2zIhtD3A44ZWtOIJuHI5EEadFsP0vjLo7e1g1vuM5U1Gmv0MM2yZ69agl5UZtjH1vRAokF6e9TLDpgHr/QFtEDq9Z0BqRXpZYQ8jljv1/rPoGe8wDJsjB5Y79Wytn3WigBzQA3Ge0ayHhJQVUquvY4EswLhWDN8r2jFjfRhcdg0QYE6J2dYVHuiJtmYkiJElaqUN6UgdV4+G+kaQtKFAWRIDQAY6ouLnAATdgW6TACs68ozBTD9jTjtYd+gDo01YnOwvztbl7YhyFIxPDcN7OnzhCHUuGIs5ctkUQXM51er2VbVO3heOsc4MyNeDsr2NbA40kWLO/joyVlhOfNf8awYg+73GrQxFzBwqS0cmrskgpwBjBAE2m1XXhuF55bkTAcEGYF5gZXNydWVWMy2G9UFhx4pWE6b3LHuJc0cXZsx6zaTBCaYETypY37Jn6/rIDiDjB8AW6th8NZQTnS8xOurDlZDh4Wx4+Urx9Heat8ohc/Tyhg73UINR2Xrt6PkBWN9WpBdFfokAM7q+UM8k54thudfe6zU+1wZgZVE4spM81YnH3Omfrjj8F/8a9tlbXH7+gDomXL6IzC16FluauFNvrLkdG4kCV2VQ/q7gy3/vt3gzXfEnD7/FQVeUohhemJxa7hpsaJBTheaGdieoVSHPCYffJqSLk8UVrsvlq+ZZaC+zezEnQQPayPag0/uG+Y3i+W8BbTS033JChifD6ZdbQCEyoHpV2NsV92/PeH53gnyY2Ebrvbdl+qRC386YMeHlOfVggAkdyZDfjhINV8Ad3Y5QHRval67zFwWqQK6JQZLB0E7c83ZxUs4SXAeuA3wrAnzv8UOQ3Bk0AIO9hl6w3gPnPwB2wJy/cvz+Tm4x2ODZLXNDR7aomSWBDdoNfdKTizscVCR1cpKnFEbyFtnuh0LbZRs6rBIQMFMc9VwBoyMUlEpS19Zrf1izwc1P+C76Ivb63GM4fAnibSQ6AQKw/QvrGU145gZO0x8sh/EeUcNVU0TLCOPkM0XkD7eZS//BoiggtTyzVt4vt25RP1M67lqks0HeQvIMgoZgDBWP7DNTw8CCrNWDDlt9IJWoH1CGTr7VGXY9Uxd9AsPRYfTJWUFNkcKxdmdH1+09+XlhzZsb8HvjhvXBADwLIJ6d6EX2YbB6NI9skBH5D9gi552Rb92is87ezBDilqVCzkDdOfs5mB1dDpsHdzw4Q5kN5umA6vtHU2S9dIMKugG5Jzuy5OHKvEV8+7/dePLnbc4iHOvsn9s7Vv3ZdTuwaMNLh492IosGpCRgv1mv94tskGxy2p8pHJBwokPO/RlFNrnuf4uIYOxdZ6wktEdQc4JVQe/9a6DC9IgfgB6wiIxuZE96q1e7feZtEgzRW/hmXgMJsh+BWDDpe0L9HTqkDsDGZ/jRNYHeViKyDTfetH8t6qVb3mo5+57YP5L4xAHuFG8OxA3027BBuMP5d8hxbw1jPke1egBFsKX/wT09eIuKIdiyt2BOr0PVLZMbLXWCJKivA9Dr1Migre4UpS04A3/OXYxg/zsTR6L4mhh254iG/PrPKL0XNoAbnWpdXs2z7F4/acL6Yz8v+nw7G3cP6Owd8B/LMvd7bjIfhryuRBWnGRATtFVQExno1zWhLQmyKHs3LvA6UyeLCSRM0g4Vl72Me5cBdiYwRNuejpQKfeVrFhwTsUZ8792EORCiy3rIC9wQ9X7yP0p8tw82AR02fAM/FT5Lc/QPL4yu87sT0tDho7e157H3d7eVzWHeAnu79TGDlcIsvY90bUiVDmuUDPAd/fOTdhbROsb9yZwcHQf6nvUzp9srvncasJVNqc+BQ3rFz6roV65zg1Td2n6JoHkgNXngu3pbjy7bArK6N6A9w0lyZGs35Oq5+VpFMIz70dELO5h+9LdPS0NLzpaft/fcl03QQYKfs96OJRBdK3VUWxVrSSgloRXluxeBrOo1p56hikDex+vqwUFBAwIO78Gv4J+gc9T65yM4wowffy/VWHMu/O9AfsR7BpGgtXg/Q7RwC5Kn3s85begk+BHfCas+OvMIKeZ/12ELnHRkU6ylbOu6Pyf7PigR6NzYxPu54u8na+VeTgmCLThpUXIkvr+iPVHdnSUp7EjrduQe+dVjoLZl4uoU5xy8xnmbB13QW+IEPwedGv9+ATPYo21nCNCTPVKMENcmLPFIYNawsSVcoAAi0yl1p4oFXbaYzOJcpUL7b36bMfzhlyj3A8opbe/RPPDZ4PWvlLd8oXxUgE6rO2i2KH777h5PhwmjVlwOI4q3W2IwSGCrMkmVbu2L9Y72a5l2zp63Dg1IcOyDCHxEAktX1tmaow7KgT5MX6OOQOB7rSdFa9qdUzQPuhagPSsqRqSrdv0bcHDZEbbtEYF7W08agCLb2RrDr6Ue3MXYvPTBkZsu48wc85mGZ/cJGoNFaMD4XhGM1lFKkc9G1ugqKMvunn/F+P2d3MuC9vYR60P2/lK1b2QTQT0oqrEetzrkImjoxxdzZxPeFgRsoeMZCV0bBfGofNBwsKL+ZSmQKD6eRu+XyNYbemUfRp29XdzE60Ccin9lQfXyxiNDDg9Y71hjkc+CYWJbgDQRRpMjchbtQWqFXJcNMjMk1Il9eRWtQ4W1GvX7SZ16u2F8X91upSFAnDoXV6vBKh1ZGDB8n2CaqBRGHgbpstUoEMYAXA6K4QU4zm0zDDvc1GDIjl3ZDoB6N8FGRX4/Q7/9QGf97uhQ7AY9NxLKDImK1Gv5bDyQOGfc+lclr/dJcU7voH/JDcN6HDpRUTcOwMz98phvan/asMF9+u4K28oJiOIggKCz6uULoUER9d+IRNzoSOxFmF/4Lm3KwASk0vh+A4kkbEfs0g4ZuBuZmVqq12eytiuyGzDKTrSn6nVucY0KwLwP29UzL0uBzAXtNKEdM2RgpukGHQDh4VWNF4memTvFYqP1zGlAm8IQaoMfXLodCkEc1jKbklsS6JKZbb40wOvJpFQGscKod0gp60k/qn33faHg15tsh/rmqAAiVFQA/fX8TANJF16vZcCydUWqRRy+xdYL+aV2ohfADQ+QPCbacmwGgAvjWpidHwZCvd2R4Sb4KDPrsE7A3ynIjBzF0ca8F0U+Q6+FZsAjXVy2Ru+VHU5moTELoezUMQwgP2SutgV+Qm4yfL62wETvk/cx9M5JrKLGT1pF2mWZxQDMC9o8Q1UpV3t25WlEuz92BzfqhssxdWMl0DjlyPfSqAmMoFJkltfWdQKhzgNszCxLWSufMQJp/uwRdOjOciAbghX2KD0oGobjes/oecvUo75pHA3j2ZWrbFmXyXvMFq8PXb3tTWQxU0K7H70228mHAnXkrPuWPwrgOPfAnvdBS+iorQSljUDLCbXS4EcRpEICjrSwnixf2LotXxk4bCPLXxCQ79ANOaFNgzsnPoc5EY1ihs6UHcR4ycnzwvGtBrmS+UOm0c9VRxmUhnxFN0pMhK2USmNG0OG1Xa6aefZrcwTKicZTvjaI97k0L3XvhJRef5UWLy2pm3ObltYhjAHH3JeuRJaYta6EfkYghg/l/9YKzDOhUT4O312RjcGNej+h3nnLl0vxkhnBeiKBTujOiwfnh2d1+CAdNFu23st1HFhjf9zmUaO0YW3QXdDAkmL57AhphvHd3Fv8AWCG8o4Q8OkDWVbnNwnlSIbWlijr60ODVBLIEEVgkLatC2tGCSOdvluRP1yJNssKQIlgMuu6QisRSOV+xNMvbusmub+YdX34Zel6gAgUN06NqDKYYH3OuApgs0JWJfLsGoSQhCUOz4bh0noHhH2gxAaivdK5QBaSaJm3sGtDQp0U+VygzwuQhGSIytaU+WXjE9C54PC8AArU4wAbnITrSrtjvUtdjmLOOtmWo8XSIt2WCNs2GI/ZVYJ6vAfVXNbLiUp3vQekqWdO8ZEz7w69s1AzK70rr1oaz7y1bc6woyegGeP3M/R55p4/Tti1yeWagU6crkD+QNt2Q2aho97y1bDcKc5fSe+TKwaUk3V9Nrxwj89vAKjg7peG42+J/lneqO8PQ76a1+fyfZP3ax2e6Tydfwq0x4J6ZR8plgbwefKZtm89sIVgOzYcPrugNcEFdxgH7s8IPkUZUzny+9P3huM3DeevEs4/dSf3Qhvi/d9OeP/HD7Qfr3Q2tQKIetMWPgDJoo5/SZv8+gXhxtHnOV0T8q/vsWTgP/s7Bzw+XoB3Qy/DGl5276Rg2WE2tvr5wyuu54zxPSMg6Uqip3QlmVSsiwlweFcxPFdC1j2j++k/Zb339RO2hKojM9VaNlKo8R08UJYx3w9AZRujBMHwwZ/x2UspIrDSgPtfVuRL66SlLXiEd7pWKqCNa1rPaYMzC2CHCmT6V8Mzne/T4xWqhuvX4xZUAx3c5dMKnQX3vxQcv624fJowf0Io99t/xgDH9RO2STp+Yzi9r71cpCwr/jn+zeP3r8kN8pSoZ0iKPetk8xRLC3awHIx8QClCnhHFRrmegIYwFj1CFzDXyOD6/3eCIAmnKRQQtgNObhX+Vq+1C5lhhyVXQYNnebP/rRJL17Mn+/cPwz8MCmBTYHG/xoMnlOc+y/bxs/W/hDD5heIAr2ln9Nfth7A/N4R7FLB1BzcitRYYg4+zV+EMB2QN6E6yxd98vfmv3Bg5N1Oyh9E1uNfDSFwcFLLX8t1x2rK4fdNERDGiSP7fPUtrP3Z/bDWb7lTduCS7dQE8ChbwyN8xei1VJqqgDYn1mu4AikfPW4cV+Xva5rBK8gCGy1nv5+qR/m5kq+6CE+h/u5GP3zH3QBya21z06HJE4v2/42DtEfoksJ2B9DFE9Af1UD8y99vf7Sby94N13H1Oq/A1Yw3MSaoaoWMStRwt5PrWuQsZuMkOfuQowuX4d7Wk+fiz/eWC0AdeV+0ZwJvMuju4P7hGZGQVN5lKMfRWMt1o2hlZW1YAW5bgR0bUeP/oZz5aK94Lf/WiAQjSvhaIFHF0wsj/DghpHYV9YG3bsxr/rm5Y7fDzUQ4R7LTyY/OFzcntc/Px8+30/Pa7Teb7LZXX67/bX0roFAls+/wNagI9cw24rNltVrNfJ9R+ZLp3mVx+13WRbogbRri1O4VS3Ai8aQOFnkklk/h+nrDtRx5N7gTqTu/apls6+kJ2yJ54Pp/r0Df+8EEgdnPPj//7ZmHCSUHX09v6hCDjRrYBbLon7hlO7B514GiEngWIZ1Augnn2tZ/MH+/9GHuZC6SNr1kE2VveIKh1CJuF92oRE5vC4NsglmEstqxb27GuU7FDp8V7WIdvR/sQBEJKsiPSXP4qHSkij2Q3x5FxNEc3gMiXUAYqbnvEpP9w7XpZSgIM3PMAn5s2G9yJ4Hy1TDtNFpex3XpvWW3X26uwbVBREswUgazoLc+6Tt/xK3QdeONQYjsbRbDnhdif2x195CzvAXfutlDIUecXcaeyabcZiLhDZ0fHXk7x8d42f+/fcRYLaLd5UPKmTZZ9dEbJZgdHFwLeOObINgTAju+BdgyD8yzXSzQ04usZqF77awndIYyAdySY6mioq5Oejsycbiz9vihtcygDTWTKwEcLvb5XFYoO5d4TPEXZErzXfXOEQkBltdJZY1LEz3MxqAIlOXLUyUkB6szIGEdWOl9sRyrn924ABpazEengz1Z5XPzAZgA2+3pv02ejPHsG2aqiukIz59Awv2e+8DvlEF82qDZUR+sF8gB+tu7tJYGfBUvzkiYKX5oNmgzSNgcz2ilZHAuOlMwXYH4aSGIb8rjzUzYk5WZvxDrV4LuIike/PhwSDfge3i5B/enoWsoMsMxDL8npdo7xgpaZ0OvngddE6+rIApMuO5wL6jNdDVZ+l6K/Hb+3k3v+w0fIw+BeP2sVLHlWbVebEJPUMpsPmwD1CEglw2GaAYhnwLAttlTSuUME5WFE1CPA7MZhk+rOWMztkNjO5JhRjrk72L0+UOEZLYf9rjHx8GibdWZaQrwUbcpQcMWlVbTTiPrZHQAgzczwpguzF6wz3ohqzBq0OglNAspdusm23dTc+bON7/k85eTPPJOmW1cv1q/M4moB9GKdeGZ4WpHmSnbFZWWWe8hsP7Gs6LWnIsjvzq70GzNbynod9gr0Q6UapFZGlz+744ZcK9TbEIgTatQpOaSrYV8j1RmIAUSbhd4CRqWTfOhiEF+fDnPxc/THnSW5cYTDQJTGLDBhHqGpwaR5ZJ0avK4WHtX2g8Qz1QJAdi0noC7PWbDeD1iPYz/geoZCnR37AMJfCm4ckHxhHYkOAZlSAIdOOLVF8ZUH2tVb24Txr8Ygg4gjFuLwc4W5OoR5b2S6QXUTgLEw1Az57HC4bkzv6oC7QyHbHK3VD4yGFCQjmVmdMBBjvoL9dnMk4D3d0KFJJHShsszenqY67FRXkitoYa21FrYD09o24qfa2GLC2yf0esrCFk8Yh+3dw1nxkgrDR3XXtfXAWTg25voFgwBBfBctotwwCyI9wDO/gGd/fR2ay2p/X8Ke2igA1DP80h2avdOWr4yK7w0fLbglvnKZxk7WCGVMu3cIQxLAYUJ68wgI5WwP46z3I+w09DphUz7n/JD6wQaEcbSXsc0ACkKSyET2dljABi9sAVXbgjodupYSWU2BvseluX4XcL+Isq4b8LYEm2wH74LsDnTCZLkWUVMZesqywk7TFlhydlqg9eBk7DMxIVqpMkre+xjGvO+ginvDP/aAFuD49W6DunyEU5svJPeJDA7A86iz1VdHMjlDdK8Fn0YGcV4usA/PkHF0crqEdiL8XJay1dH7mtth7M4Pa1mr99F0a8Z/L8GdMfLcuClNwWbw78s1xvfcX+UuYX4kEiD1WvmYjzCCbZNdD+o1AJI2B3czkElStDeodW0Qr9HV2fWD1yQjTZDDRH3+jp8v9yMwTJ5xTljueQa1L5jVq8eNtTuc28hC1IPLl2fo15Ni/aMjbRNHOgzPDcO54AbaL4QN6tp6X+40N0CA9XHa3m8XQJOYrCQYLsx0t4FENTCvZzTPijwKW8I8OZzae4VO382QubLe9tMjdGlILwuCQ8JEUe8GlEPqstscSpmubGOTr+RxiDYv6Zr6OduSn3tH1wVuT40flEiKAjLVdmMVGM6UdVNgfqPIF8P0rtwGL0tAqwXtNNFZdAh31MHXKaHc3SOdC4bfvIfUhuVnn2B9HDC+X5FeFtotjyQ0TecF8lxhKbHFpKCXdw3PBVLZurAcUg+omBKRSNI0eHDDILN35rhjPW9a6KSXg/9uAGyg6HbnNrZ9yAp8K4p5eyhHgFx9r7iqqMeElnbmuqAz8uu1oH3zHfT+Du2zt3QyfCxvDPMnDW005LNi+EDn/foZL8y2Zu60Zt/RYn59I/LPwJY4V2B8RzRVBPGvnwu+/gX3DJ0/ymGdNhZd8rOIPw/XbngC8suA8mD48HcLMDYcH68oRXH4j+/x+OcV5y8VZyjaRTCf793GY4ZXHY6rK+t+6yBY3vrfFuDw9QX1cMLLe85RPvtZ6ky9+yBb1PQub2i7QYB0FUiV7niXe0N7KJBs0KGhVMG6KJAMP/nqHb44veC/eD5gfj64429Ii+DNPwOm9w0vP0m4fs4A5/phhF4SpndshbPcK8qBpE8vn9IWmt6bo1+oO8op4fKZcu4uXJO0APKB+2g4G9Y7wctPFTUB48L3/fT/ZRj+b9y37/+EDuT1M8ppnQgZTxdle6ARePlKIVWxvBWs94bhCbj/C/os81vK9PzWUO/Ysmh41psAAJ4BooEMyxtmww//8QkA77u89VLCeUM0mBrOP1GsDxnrPVsu1aOgjglpMRy/bfRzPGhB1KegrH899/X3dnLXh4Q0bVFLyRTqMgmCpctcOQTevQ7w6BZfcgAhMMxwbYYegC3CBtCJivqy4gdxjjoW64c1DUoASujwDXxz9xP1A70GLiJ3Es8nMLNdz0NGU3pLmKQo9wO2vnjYQXQzMLlCtu36Ycj2dgS794xkRjB26sr/D/a+iPhKgZPwbLj5tFh36tJcSTi1rLBlhQQsM1oHREQ0KcR7LyJqmlXoJATMzeGXaCQ+qSfS5pMsyrZMEugsui/pmRT0eQqm7DBE6GT4XKTN0CFBkPQ6ooh37OyZH4wwLHVv7IdR6ezeloVRodL6QRW1UhsUzghtA2C1wdquJtflOxgT5zd+wHhgojPzeSNxZjZwY4gxy8UHa94AvU6EJ+tSSYilEbFjn9IuFPv3lS1AwM+FZY3b2jfc3n8XO/LAE6MIW6ZPOqvqRkKFLRsUmXGPipsIJG9wl30PydiDbecY0QjGxiwZwa/q284hyfDm4ukKTB8aomVIr8er2zOLATKXTqrDl2uwUr3Gf1ek6X8L57THAT6OxEct8t4hHnxOdqiGXj/nDm3UrPdM4H7ewsmFvwcMuhI6zwzptsy9lrQ7Rru9pOiGYK9J79mhmJPYX4ZetyvwmjOvuR+iz2kD9nBlhx9GPSWJbqKt2faMvQYP6LpNHanQovWBoTs8PeoeZEGG7oAyi7Q5tcBm7G/ZXK+fldvaTNXdPelHbDr8oz2wr4PvZGoBh85KJ7H4/opMKKLeOFAVLhO+52x3xu/vtXdwb4ZtvU07usLQo9Vp9Yxd8+Coup6MrLIZTJwfYA9vDUh8bcCF0E4Zsp+DToZYdnCBiP0F4eBuX7ANmPSgcTjYNogH4HDjjPTPmAFjcug9+7YCwHqfmCmN0hL76Hu/YzBQQOHt8HVf11sXG1uGMzgOAoYr0jNcN+Uno6JMDEKXQ5R4ODNr6KiwFVI4N/xu7ZldPl8d2NdRjMHnfk6vDUhKQiWA+sBwg8gh47agHoOYjmvNNja7zKaXADDgIn2/h+5sfvZAsGWw4raXFXKe0Q4P3YbCLrAFD1CXU0I42kF8pIXMwMNL42e81MyUL9LJsNyh6WQyFdCZz/pxrS0/w/rSchAnnorzf+fkRtYVoNztuAHgwb0om5CS3JZhuQqRJ2DZSZKtH/QHbzk0jbQd20ZKqdfVSTgFaReUYysgvclCxfdukrG+Z6VJ3/8Gyso+0LUJ+Pa9nlkduB66GlrbBIX8MZtNFFlLGIBS0V7OkMPB0Y5burmNQHtTke5WlG8mjO946NaDO3gHOjD11GCnChSBvtDBt6kBQwMWha5EnqRlC8JJA15+mjF/WcmtcRUopJeMBNQ19g/MmYubO/ELUO6B8ZMrTocFf/j2HZ6WCd+1e0zfF6x3IwnNVkGaab+3ybaAgctSmsPmE7Zoq0B6WZAvB+hMmWb5DImNhqfCjgajo/CM+2d9lB7Q0kJnvOuB0aBTRRoqDocVZmTIT6nhs+MZb8czpsOK+TAxO3lssIsizYLpXcH1UwqBNJB/4eqkgpfW20uVRGi4rgJ76qqv+wDlKJst5D+p0kaavlsgn4947rYI98fxtysOf/Yt0p98jg9/hwS4baQh2I4NGBvrjT8wiL3ecT6WN4b1oSFdEqYnZpKXR8pjPTXgcUWrI/R72extQyfvKidBvWfLpvtfURcvbxPWQ4U07b4NE4h878jc18kRVk2AsyBfK4YPtde0s4xRUXWT879q/P5O7okZmxCU2KjLoyvA/jvzPlPo8Ic0RypcvCbQNwMM5T6hTbplKYCetauDQjKgyowia4zK1qPPa3LVmYVZM8nDrhkPpDpywZhB3hmV4TDtGN+CaEI8kxAQGWnepgfgAdaJezzq7dDtOqk7QNyo5SBYT6lHQKEb3CKE15Jgnbbf5QsPr7Tgxigazs1JG/iTZpI9SWlklxSBnQ5op5GR/DhEHMrca7jCqa0Ncr4CZrC7IzAqUCpkLVBVRqFVuqMvtfX6yhi9ZQVAQyN8MKGRZG4jRgBAvefu1iLFs1mOa9k7+HEwpBW9YTuwZXQtCckZFjpkLSl62xE/M3pGC2BEOMjLskKOB2cqXbA/wdbHAfYmo46U+XJCd2Yi8wbx/nAPDTf9weatlkOLwVbWgXTElRtjbQivD8x+HzINTWdO3hP7yFr5Lmvl8x4GQkAL6xkiCFTVI8Pewyyyb1H7xjYWDFhoJXNkH+FwN4Oel209gU4g1IbUDYhOqhFKe5Le+y7mMthA95GLzqDt7Mm6GOzKZ86XDZ7MOWz9OXqbjuz1b9dlYw9WuXleiEA8kNPrb/cZ7visGd97HLbryA5CDiBqGqNuCY0Gab9GdeNVhJxu0Xu22RYsCdRKwG8CsuOZyyAK6xDQuB+4bkEmEvO4h+6bOmSx7pyuZtBrgbQGWQus1dt3j48lhYzqda9e7zMK1gdGcauTXLRs3em1RMNueGItVdQlmQL5IXWW1h4o9MBkupZtfTa/kcsFgTUDchi10okE0xXsh60k2ssHZqzpnLtRVaXDuBhwst5aSWdvrRaGviNWIoAhQj2+PYx0Rn1LSkKexIM2OAQ+Rpr0oKo7TLDNGIvgV7Q3k0qDP56TwdfWSZ56L9XzDNRKg34h4qL3r459eZy6nPfs+eJtg4JPYkhk/Q1ZMQCe5Y2e2DfEWo4ikdoAb9PGd3WEh3rwwlux9dpBPyfHJ9Z5BZPrfr6iH/DeCegENiWCN5vTFuukK2tdm8tT3yNJyb0BIH/HQK8MuTvzMdZTAh4S7QCgG2r1wCD8+sD2HzuBpN3icp5mItLOwwZ1lcIzKblzyqw338eSdPjfYOyHy9dyJMCBHQnSTZuimI/IGGpv3TO8hC7fYKI30HzjnhID6v0EmbLbWG1DAwA9M8o61uK96ZM78HTs6iBobxPW47Z20XO+6/DqtlRz/WTA6Fl6Zgk3B1hXEunoahgXw/jB5+1SbhBgW/mGbQiEwcspThl1VKS54fDbmQ7UH3zqCMHE829QtIcDoAqdqe/q3Qg5Dl1+IduZWo+Dz5NuQRXQcc2XhijLCFi1VGqJ4bndOHImZDAnAddWztH5ArBbK/j5vABttv7Z5DW55BCgfKdrkDDxiyEn7TQh//QnRGVEUsVHfhasF+22xdY6M/YLUI+Nsl2FAeZgwq6UV2bs+B4f/lggq+D4W0G+MkN6+vOAOvBdDr+lI7yetoxuOfBsJ/eNOdMycPqVYL7c4+nB8M//aGBp2QPw/m+PKHfb3gxYbBAqAc6ncye95tyEDnE5Atc/uMfLlxnzZ2GnKuoVuHyeYCltwRhstn+Q0LZsMD/+W0C7M5MO6/OI8s2R8zU0IBn+6fUraGpYvj1gembQpgwMAl0/VVgi27cUrsfwlJCuwBB11il3ZMj4Xrozritw/jyh/TT1RFsPcJtheKHt1kbB+ScTVucVCGIwU+D81YCWP8fymDB9J8hTtFgyyIe87ckgu3JVmp9ZdwwAH34RCA//7FVRhwxRw/yptwcKFNeTtzVdgfGDy8wfqSc3DOlFMb4XjO8ZVCgPnOd0FQ8QsmMM5ZJ67+WrhPQmeaBd+vvvOmX9leP3dnLLnUfQC4WkHhj1n98abNgMtHrfkB5WnsdVYFVhzwm6uJM3iPdIAgCSPkgFhpeGfKaCgR+8bdwiXAAg2qBtqyWzRKWtV0pxUoEMG2SWh4oTR1xprNVo3dHhZqEM3AloYVj64e/Gsu6cXMveC655Rs6jvct91Om4rRaCppyzfYQvYJkkBAIg4CEwU6iHl4beRqAB07vCg8udRlnaZsykBKiiHQeU+xHp7IZOpaELM1hAmRWAKmReYZcL+ylOI4391ggFTUpIrEe/JKL+q2e7IjMaGWqPNu9r6277gIaBz+v0ljujExq5EcDP22ZMhMPj0O8OCYy6kOYQd+CHJCS7e28wPbhzo7DDyGz3smBfw7U8JrQH6bCseuThXSfr2RgAKG8Ljp9dUIpivQzAqrAPlHNdBWUVJLXOKBz3uCFo8j9F65d+GC6bkYelMmuxrHRyRSDTAFT2vtQkqAdhQqqwj3KvLwO8FQ4PU0Zl7abfa5+znBjkmL0Vg0PaycKrPfMXBiiEPXiLw7YjMtih2x+NgOlLY8YgInwAD/F8bh021utX4DJwk8US9mXz4E2vd755l/xDx+7jTHlkf7zUINqG9QzuHroNGvgMNBTc1D+KeYZl70AZSyiSG78eRDN37CNzagmojf9GBrszZhvosK6tw4nD4OoZW3jGcm8kmjHotxbKS3MLNWrs46MKNGeWLccNdrfeo7dUYN9uHvKSDHmoaE0x/3bylmYkUjIRrGft60uUBuWQTJKlBz/EjPXggQAxY6/c0CvN36kapBRYVWTPjucDo0wtmzPMbsZQb79Uw3EkykWq3crGPlMa6IO9WAwMWrZBsD6kXlJx46DJZrxGXZ855JWHviNV/LppJqyVBF2h+xIsk8goyLnksiDq7lgDzmwVphFtYiSUOh/U58eRDqvr+N5GLhwI3WDHlgVoQPJM7sZcHfLm2UNHF8mOcV5UUb3Vn0RrPwVwXRkAOw0wCPLTCi0N9ZAZIIgglwCYFA0bqoaTvZ0NPZjTb+piuza2MZoS6p69VIB6yIAA+Z3A5plfH4dtvUGEWX1DHcmzdTub68FQPisY7he0pmhVoLnhdFxQSsL6L++Rrsw+tDdwQh0gWeis2kuzXBUQ8uht89KiSBd/ED8vmc0JJ7f1spv+Wsbg6vLGiZue2NJlXwN+gxwwOmcAUO4ygEyY8lzRSyx26JL84Qp9vqI9nmB6hHjvVkvA/JhQjrgJUPRg6bo5+HEmawHQgDwzObCeBPVIiPtwjoATndz8Ujo5XSdVi+Bydt3bWm+Vg0QdUUdFuVPkS0X++gPsNOHyhw9ERnngsCVBPY0OC2c/6PIwduc4fieOvqGzJD0Ytg/UxP4Mno+OAHNdzPmPgAMXJC0eAPd5C96a7oRmOOLBOtT5BrIPlw1lq8U0k4DI3OnNV85ZO2bgq7c3ujTG8AS0i6Ic2GqzHgkpjjK9NhgztrY5uB1tUfn+0dpmeWNYfjGzHZRMGN+T7fb4DUv7yonycPebgnypmD8Z2OLnwLNAV+DwfXNCTj7f+AQ8/BK4fKr47niCHSryg+H5F9IdsH2nkXSlnC1vmW0UzxrGJpGVe/v81YDr5wL7dIEZsC4j2iSYP6+QNwvaJUOf0zbn5s5Zoc6uk22mp6ATtupTxuFrts9a3zC4YeuI1oDDmT6MHOlPAOxNHG3ttPL5xw8M8uRzhayNyNcD5yfg4MML7/f0h4rrF4QNT+92sgNg/FAwvJ9x/tkJ5y+063LFhii0pFjvBqCRkMsScP2U2dDxPYmu6gSsD9KTICZOaDsblreCl58zkXX4RhAt7iwr2tRQP6lAZfZfV5JapYXkicO54fKZ4vt/2GCDYfiebYWm7w13Xze8NMX55/C9wndu3lZyeWCgsU7AxRggqEcjedYsGJ4F9fqRLfc7xu/t5DYvbJe01aq0EU4PDtjAWZdTwXRYmOZfE2o1OqQOvekF8cnPtUjYRF1bh6rsDIsUdW6KJgOioF2iibk7xXSkmmeOBfmkDrfZDoaA10WZ3k19mTsAUTvJg//HJ7jX3nxMRiOMEAeEuxzRnVw4gYSJO/u9uTg6zBseodn3YwyFGU5l73E4JDJ3pgqpHl2fuaEQfUIB9OytMylHuxQ5HoGD3Ti/yHSYpbHGr2XdSBAi27V/jjg8qkMzLYw/7YZKzEtThagxcxO/7tk7264JbId/h48ZI4/qBqqEXIaG2u7DC0iHqnd7YN8qYz8/u+epo6AdpSuPeiBsph4NSCyghxjSfcE0FKgmGkjJ0GZavua1qN0pD8hbc0egWCdtA+B9PXfPBnBtG9koKTeeYUyeTd3J5f5wIEkCM4ZAOE9u2I3M0HcbUwQSqASvUeyZIZcDXt/3hcMq24FzW0dGb+vE+YpnuVkHD4B048jva7qx9WrA4UMOjFn/yMR1lvMdi3c86w9IVgJdsHNobsjUOuMsIYab0wV04qj9dxHOtdE42JP+9L1AJ4Gtavx+5ky5yvVgnbV/PpzViLJ7tj3QLfH7yGJZA0y3rAKwd7pkiyr0kgl/vlo7LB+1Arb2d1ofMtqDupyL8wGwTqZlQ7urkEOFDg05V58SQ62G5eDvV8GaKXF5N7kx2Lsz6EFB1g3fzm1fP9tqkbd6xW2PhCwHeUdVvrbuM8ShexJryOVEJ1A8s23DxoAd/bKDCduyw0glyl3CAfTrJXdoczgrOxkHOnlPUv4bGboegIigINBlHT3o5oHTnIDm8NyAJHvQRa9lC6Lgdv/fyKsb68G/oIt3Qei1HsrshRK5IX3yqON78KFnEnw9PnZC/VqbMuF7RAvBDp/366gYZEdiE4yy+4xZF4l4nb7Xfd72be3g5wBoF8gw8N9SIa32a5Uj6055/rreOoBBnMl1uglEDHlo0NSc/KahHRvW6i8onIxoawJgC0ZFANNLY4JAKuY09DV5R6xnOW+CgQJCK5M740+b3WAqHaFjAatMoc+td55oo0Nti6ATX1UqYBvZSaDeT7BpQD1kR57R8Q6ZrqOffV6z2EsUvOymt0KpwvNUGOQR2T6/Jw7suiEC03tZjZKZ5LbMig3B44M8Lf77kWvMDPJtGdU+sRGyQuSY9SAOSxGcPBIM2utSHXmgrt89IxjlUCqAQ8vjHTYZ3+pz0+LzEZDt2HIxH6HmkmDP+Rg6PV0Z8Ihzuvepbrhh7v4xBxdgtrOeGmRssCao1bzOnTdpjwXT44x1yWhzAlu0+eYO27jbngIr2u3mNjAbtz5IL5mDsYQxapjTYr02HKAzJ8650RIdpvGF38vPiro6ovOjDGPsrfUBPVCfX24VT1r8DPXSH10AeTd0+WuJmcS2ThgudNy5P/zzs9+vyc0aQYH1KBA/IgKJYy9xJvD7aWbwSRdB9JrPZ7iDttXxB+qtHBPUy4KihVYgYq9vtV83nwX5TOcYcJ9rEFy+GDB/kjE/KOox7GM+Tz15IEqoRKLzwT6hxq4b6LD3rQuA+z8eVBjfUdfVIO2Cn++mVP/eCSYIqlpi26QWe867xDDRg42VfPWevYkIseWNdOc6jURpUVfxO7hQNoKFul0/svF+x/j9M7lHwBxnX06ktLeE3jx5eFgwHVYcxxVvDlesNeFlGTGXhKc5wZpAV8X4wa932A4LdchljyznzdCATy4aIZURxciXuvUddQUOJ6NIz94mQo7IFyVhhEMiyE5mfXFJANIYFVypONNlBZr3mo2M5EfDknrf4DAu0BVbOTG7VU48TC0x223JgKlBcsN6ydCLenQ4MPg8ANMaSq8hnQsV344kpmcjaqYRVyv16nVFdlirrDuyHRHYmFGPA9LLDDlfYTmhff6mK1NGfdmWyVKCro11zlOCpdzraHptrW4GaKqsM5XSmE0QRlb3vdHYoN7hOG5cRnQ1mOVY87M5VtGXEwaXCdsOUotG0npj/Ed0snmCzhoI7zWQLMgPzJ4ZbTwwY8yPgvbGndvJa1iyQU4FKTc83F9wGldkpTG01oR5XCnnlT1gS3HkgkUvQ0M5KnQUpEtDNkMdFPXAFif5XJ2F0mVaBO2QsdU2E0JDEg0nP9rXMrdo1ROnK3qWipBSh8HdK/JV2Pge8Hpf709odGwte+R/SKy993pABZCVkPzlDeF/y72gTaTiXx/3DLYbk3P0zcsXRopRN2Z1LQ354g6s9yfUQphdep6hTxcPIvHUCVQCVHv7py7i4RCkyCD591qDeNsFDHnLWJdKIqZxYCbWja+AutvOaWiD1/v0exllR9HXQ2qj/og+rFqh3eh1spsx9f7ZaXYDbJYb+GZ3gv0zutbtfToUWlCPuX8WeQexDtKtUtkzdFlgtQHW0HZO7vlLRf3CW/IM0d7N0B4qZKx4eHPB3bRgShVTKiimeFlGLCWhVkWdEmodkM+ekfbauOjP2VlKnZhPknXDm7qS+jrKIXqWxPkQgtAsAmk8PA0ZcPIn2fQEtrPClC2bxIzGRTWM314gV0M9Dqgnts/SS+koAQFQ8+jEeOitg6JTQJ1obNQjdXodDeXBYGpIZ8IVbeD8JZdztlrz5xMSKKVOtW03bUJaVuqoQCR4FknPM+Q6E55/mdnRYBoZnFFlcCYCmC6r/d/ErK/MhS2InMCO/6YeFCWTqwdbh8R9EKiE6nWv7nBGMO6mF7Kfu7JzcPfQzS7nS+trybph22UbdbvfLkgSkP82eMZs5TXamPraqwcvcH9ie6VlxR7fdv1UIPfuHApgapT5r2akTKenVcEwFZwO/F5tDOzqpzPqg8IuGXrWDaLvfUbD6dlKI6W/cyAxqrexiuedvl93ugV9P7RBsTyQ2Gd639ga5csB56888/Oe11geqXNbJnpmOAPpO5650Q+0o2Cqn8dZUQdFmxTl06HDYGOOg1RqvWdQvtwb1rcuq8URJM4ym2bv8bkCg5sYEeAE0BnDo/aWSAjxkpnE4GKN4IrL/5RRDxlpVgbgwxFuhvy0YHCbsd7zRvlp7TokAuo98N4ceTdXoveGhDZ4cHfe9J9lQbqs0OeZLc/up50j7AFLr6MOHb8eWOu43rEl3PBC0rWoITQFCRMXQ5tY5tBLFAAsd+rtD7l+UV6UDCTPep4xf3HC/El2Uio6t2luLBeLHrn9Jba9svydK8bHipQb1pEtLlEcyZEMP/35d/j3336Nf/Hhc/zq2zcoS0JbmfmzZH5Wc23rBGCmUAf/yPxZQ31bkL8Z8OZf8J4vP6G+PH7TcPi+ApKYzU2C66cM9i9v2B7o8FsFfsnvHX/tut0TAbpsThdAZ/Tyswr9ZIb++REP/9JLae7599GziMGrMDwbHv6Foo3A/AnLJY9fC6bvSXw2veMavXyZ0EZ4Jpd7aTbKdT7zWdZHgaaKZp5NbiCJlwLzW2Z+x/eG+1/VvodNyd9SB8HLnWD+hLbs+I7rfP009X0eSBKAzvDLTwVtNEzfAcevDdM7w+kvV9SD4vmnGeUoeP5bgvXO95XP1fQ9bYvLl4byWFGfuffTvDmXEbwod/RJIsPMskgPyNBMxeE7w+lrQs8//Ant3/xM38SyoJ3dhl4jcMJ1qs0DXgp+NgnJxlxHBKnm/b/iHJ3/wHA9Ndz/y4TTXzJYXk7SgxVagOFK/2x8MUzfF9R127d/1fi9ndzItFK5O9QrGaNxaki5YUgVY6pI0tCU0dEkBknu6O38xY0kxH8SNjjkLgMGuAOcdxFRYURXItIW/woI4esQxtsoGu+7Qep6JqUTX8TLekZJNyZncbVs8KieH9bh9PWaTUGHrrXBqbMHgx1JkKNjRUoNSxMydxpuvrufk/4s5tE82Zo930TywqD3z3O9nDm0td11br+zGSk0zvthbHxvKnoNe5J1rzGa9d/v2yawRhEb3McnTWtDixqQfh/f+25MSdz7o+w54dJhMMYioCvFHolz57fXNIQBnMThf9g9k39ZBWjbe1l2g3Xc1g/JoJlR/pwo5yoGdZkpTZFEe0khfuTHkrfPyc5OnJ2Vt7kRAMCquDPrQQQDYYGR2tjDZH09DbK9rwVZz2b8d1iUG4w80Fzed0bxnvCG8xLf8+yRZ4giqxX1V5RznysFkA0m1r8f7SRaoWHRGujQy7YHe7sgM6+htPBkHFHgZQQOBf742W/+3Q/bnKiP/753HOO9+/YwczHb5mSfgSRxl2zGWL/+7lrNnVLzdbRN94SzuoeLb3vIp25HztIDQv7+ors9Efvar0tdqKzBl8jeCfatjQB0SHt3cEfqKRkaNBuGVHHIBaNWHPOKa81ISrbjgLxRUW0y1s+HCD4Is9Bt1A0mv5Mllg/IDZLi49Hr6uOdcXvPva7osEMxPwcC6aM/QJZ00rfuWG4O6fYe/KmDIxZGsH/pALRTBdRY3rb63lCDrDTeWhIk2E6+bduXxoXeShbincLKi/e+PZN+gM7xfSs/JvsuQ2gNKIAMqcvzx+MHRDkNJKbbyWSfG7+37WQ/9i2GHeu6v0/f08CmD/086IzRIrRQPkZlAFuQA74fd2dOv29cI+Zp7ygregCi105PDZoMmpi+MQDJdXv1NJu4frdEvaCr833IrZxFJ4c+T24SbSRsLou2e+9mDAj46/S2dQrXBW3TF67TYzA7Hu8m1LV7p3n/fLpbr7BR0sZ2GkRInWNlBAO7k8Gmus27AVi0tycB+Kxsh7VlpnrWt3c/2On2KBuIc7jiVr5C3nd2jMBtE+c9kB4094BYVn4m9HNfdHRUjSTbrn2bJL75/y1Ay0wenG09nG3siBqpvzfkICRY2jkfWg1WpKNzSCS2wYN7m52+xru52I1AQnT94YkEC7TGjX4AzASt0YbQofH1ssLE0Ewwe2o05YbWFHWI83R3w76P/FcdSiybfIUYdBliEC9QLizvgrdsRCdN1YoNvemyF3vm9sUBS4acK+pOD+9LC8nkzfnTKl4fL55csN62CoizbnuvkPk9sdU+U0vkInpP2jQT7XGDSvDkkM6UjTKlTTf5u5WTbKgNf+dOPpa9ntYDDHu5uOkTXnmuWDIGnOq2JibsmgFJndAyglYh0+HsWgIwAwm394pAQ3PZbhmB6ubfHJWUdzXS8Y6cN0H1LiLqvEdBSlVHwITCEqVERP2aox2lv3uXA3P7wfdbWhpL9v4a4/d3cv2lQ/jZI1GACZBsSKlhzDT+zQRtd3KmsaKKoR4SqmPS03WDs7QBmB8Uyx3bReQLb8IIGSeD9RaGdHF2Y68rDJbangEWwfpmdFiSbjCZMGbrJjzSeI958kzThfCVPcwxUvNhnLU8dHhZEEks96lDUhnpYwTLBkObGuRU8Hd+9g0ehhmXMmBpCV/ne5yd1agePEM6CNrKDGU9ph7BlrUhf7hC1gqbBkLxXOkBQJsGGoFzhdTKLNeQgLVC3j2RxCSnXrvT7o471l6whm9ZGQn3Gl/JCqgizySnKm+OWN9kb+/iNXbdkdkZFWH4rJX1XUvhc6eE7HPW64SUMCe2OljpaF8ZtamfnFA9m4kGIKHDeTaYkvZDllmBbZ3DWWpTwuoZU+pwGh/iGRDBAEnbaVcnoDw01LvWAziSqXBTajjPIy7LgPvDjE8OLLiqTVGawlaFzLrJjLgzKAGLcYbJO18/JztoD9kzuop0IQQwMhsRrUZWEkYAPbtnzmStaxzA3KMKAa7oh1IwaAKANKXTEQGHyPy5EgY2o7U7xjmjnjKWx8HbH4g3gCe8tZwM7b5Cpoo3b87dWKxNcbmMWF8GrDkhXRMNo+8N4qQk+Xnth7y0LXMNBdrpAFkLCdJiOPQMtUKQvKaWGWkuBqH7KBW2LDSaMhEK0gy2suWQHSbeZ9dKCjvSKUvSa3sj20eZ9/XxOrI+hyJAFoICvPZLKh10RO/dYsjltp0Rnd3WDRrqqM2Ia1mZefQMR2cvvt4qfg0UBYB2HIDTiFRYQxyaWG0Bvt/kPMib2mR02rJhmIhYGHNF1oYpFxwy5+gZzKTUpwHpKWF43sinop91QNdpxAlwBPCYvCdi62UJAKBzQ36h0941SDNIxx1v82siwJF6Nmq2ieTgx+JgDcOlE62Zod4NqHcDdGnIz0t3eiOYJJVkXellRn04dEKe6PW+vHGiuTu2l0iHii/ePmNMFaUp1qp4Ph+wPI+oApRTQkpsDzF4Zod1kg3pzPZXNjiJWmRUI7BqRp6EvUOrAmji3FzY7swe72BD8uCMG3ZehtIzu7WSe2EaeoaciIeNhIdtZGge6Fr7GcE/fuRoAyAZ0Lg7Tw3yvDiMmCR10bopAi8sD+K69rrf6metB5esCtqUUIYfR04h6iAd+dMDo5WdBGReboMAIU4DUB8b5TtRl0PMVYjicFgx5kL+BHFjzZ2C1hRWFMO7hNOvpcOHoeKEbKxlL0HUBNoVw4ujk/yHxF2USX1fOfejOrw4MlrbNcpRuW9AWKQpOVH4/sw66RrrIVjv8+ZEO2qn3LE2V7xcrB5Yfw9jG8f4PFvl0eC+fmoob1mmMJ0WnA4L/v3PvsaUCv7L777C+5cjypqwFIWdM+zXGWkWHL5haxNdNyh2PleWjr2sW3Y2ZCgcxcvS5d8u7BncDplyvjZIqxu3SCU6zYaM9nAiCzN2zqkHFkKm4NB29h0mAZ4uxe3BgcR7bl+0A883AN42zNgxQ0ngpW6ThMM+vXeodGXgTtQcnmrdmdK1IZ+tn79QYLg0Qm0/GtKAcj8QNZfVSRi3wJheOYdyJqpDxoHEc7u9OvzrCfXLEeXQuH7HFUUTysy6wN/88hP85ddvMBwK7k9XtHHFPK3kFHkegUWddZyBDnJQCA7fen3toljOI2Qlb0OagbvfVOSr4fxFwoe/lTrxVBscCSDA/Z8mnP7SkGeS0i33CZev/IxwG7xGAwB3oNvAey/nETg1PP+he8NA71rR+4x7sKRlOrp3v+a11jvg/BV1eJsE0gTp4vdzB7wcDPWeSDJ9Q4dLjn6ufjbj+S5DXxKOvyZacP6kod1VnC2jjgnDs+HuLxkMWh43VuTpW8V6b/jwX1uAIhi/zsgX6c5lPQLrPX2L6R2huboyMLqegMsXbPc2fWgYn+mlDneE+A4v5k4ndcun/3SBXgo+/PEdnv4WdcTyuA/aMDBbD4b8IqzRBs9JEbcDRsHyAMyfs3wkXQT6QbC+aVg/bzj92YDP//OCOm3Z8ICXt4G6SRfg7td0zuuBMv/8U2D5oiA9Jdz9UnuCFErOj/MX6voUPfiADMyPvMbpl4q7Xxo5Gf4a4/d2cvc1BgB6JMs8dKkO3wTo/JoJaqOzq6nBTGB5w+1H9C9qVDvrsVBYgTBY6OpLkx4d1IAmgp/fQ50JL5OtjsqjMwB+NGrUa62i1UNAteID+yigR2wjW2euwIJJNu7VBkaLIwuYx4qf3b3Dp+MZX18fcC4j3g8HnHMjOVfClmHzZ2qDQI3ZU63G9ilXGji6fy4Rb4oudNaqR5qi/rY1WPHWK15zS/jNTtm2tjm4Tm5Ep8MN59qAxwOjL27E04iJYMC2Fv0BGyeckLmVHOirQhLx/fBMs9juXmvtDo08HPza6IZSGMidjbLQgSB5y0ZcRPlkEIREZGBkNu1qBkN+kqJnvICe3cK421hq/dVKUdabD6VncmtjBBXRUsWjtHwQV9wesTJlNlMLkPYOFdg/WAOiGUM8qmXS5S8yhBFo6EGbuKdtc/Txvo2gUY+YAT+eCdplM7mXaCRVb8FhObLdgI0GGSuGqeDTuzOOecVcM0pTfAugrAlWFHW0LUIeRolDJmPNxCFZZFBPDNp8HOXfj8iopnB+fW2Lt9ZKCvFaLoAOpOXkn5fu5FttH+W59vsDdIh3GW/E/tnroaiB2o++DiHnu8BF/M4dXKlBDMYv1azbnqrm6x+HvDvC8Zjh5KqinkZABTpkOuoxT/sMVwKNfXHdkw2SG8R1uf4gvO6v0xSybsyK+pG8t110tketQ0abeATa5W7np+/rTcXAun3/HdmAP1qduJ9DYwHnSZY+RTwnAFSH0QYhVRsBG6msrUWgr1HHnlp/5p7hmjyDe6wYTiumw4ov755xSCudIVP8BYDv50ziqmHbjzT83TGLVkBmXiaAm991qPnqOveG64GTahEk8YyYQYAmG4xxdy4EkqcHYdyhx56MS7fAiVyNcvQjWaW4JlsVOTohnre6c71Dj8j6EYJit7bU4Xy2YC2P9mg35xJw44xHgKPvE/8XhSU6PzrE9dOxQpTBeDNClK0JkjYcR65jdURPM9ov1uh8p1mQX6zzD4RdEVn+Gq0VQcObTqR0syEc2bA/pDZEvd6+XjXGvuWgru6oO1FMusL5Q3xaFQzudyQMv9sS0SZR3x415sw+xpr6XlM/9w4GvVuRhopxLHg8zPj7D7/GSRd8P5/YsaIq1ppwlonlNo1nSZRZ6UwofnR/0JeZxGhDZvmXgkSZ8GBerQzqAAByJ0rTpVJO/TMyr7DrDJlGyB374thOvm7QLHtG9WoQtE3mA+If8+JM6lFXqOpOQCbRYucF0W3OQo/cyvcm26YCNXe4kzCbBbDrgm3ojmglBYQeS12GQh+I7QI6a4GtK1nVP9qj6SzAlb1TMTba43G+mwDnBGkZ5TPD+Fhhxs+sOWF9GfkZcTlI2z5OV8NwbhiemYSB0ikNyOvwUmBfJaxeElBH767izmK+KE6/3XSWHrXbWLpBNDqDf+hcNIGtCmRDuW+sB/W6Z8BtBbf3xDYHMl/paK1RMng0lDcVsgqmbxJ0dSK5iT92ZHKkepmcZvoxw1Qgh4KrTmjfjsw8jwaZGtv/zHSctzpton1Ynw2sApzeXlBKQn1KjrDjc5ajoT5UyKzQr1MPhkQwrBzEe0zTz8kXymwQ0tIH4l4bfvkO+PYdDp/+CZ5/ph2FyP3FuWVZKUujNvTQpjtIyGuwTxe0VZHOA9IiWLIhnQpgA8bvF9RDwvWtui3hS5eon6IntjTgOggwcJ7vvjjjJR3Rvh77fSnvdPY/bj1pQqh0uSPk/wcI1L9i/P6Z3ExCku2Q8kkszFLUSuP//eWAZc2owTpbBXCoT14cyhVGsqC3rABcia/st4e2MWb2TJQp9GBozSOdZl631vqBz1o2Ot8y7urF/EApUVC9YOtLae6sRj3oaWCWbGUEsWdpxFsZFWFt3UAqby1erO1REcJ9GvLDis/ePuNhmnGfWe9DmGvDNBSMpxWrAHifvB7CML7YZhx29k+BHUfWVp1G1Ckxu/O8MAsUZA0rnVm5YjN2cobkTMMe2++DSIgOwZbBtWnsjvDewE5zxfTtuj2PYnMY4Rt08AxwRGLNCS/GTOflusCaQnbXNgHamFAeJioCb+bepsh0+HN67ZjIzjkzQJYGrW0z+oPoI5yfamw9INv6ooGHZ4cHbgaSKZCuimrCevOJgYj5Qtp7c2vkAw79wL+cR7QlIX9ISBcy79EY8YjZPlPl70xHxzOx3lKr5YQ10AxnBizqITPrMRfIyvqzNuWt5sJCWbnBNcoN9KZ6H2udfV8oDaDkgYpgd41aYNs7bw77QTWIM5kS1sZI7PrYUN+QnfTLt8+4Gxb89O49Ri14Wg8ojgUSAM96gH2XNifED4Z6zM4ATUNZWvNMlnrQprGOtjZmZptBToet9Y8bt/ue1jYOVIzrysn3OqveQisyZQg50e4sB8FdyH1fufiby5Rcg7nOpyvRmJAwsMxr18OBcMhx9B/tI0mAnLk3auukNczwwbNztwGllgMGZFtEP/qk1kaXz2xzbvdOCMB6JkJcSBjxnGCDYjWg5oTfrgmq1n9qVSzXjLYmDC/aWwEMT7YdpNiM9RZtAMJ4N6BO1JfJda80QU6C3o81INpmkB2pWCf38+UIaGCXfQ/cNPF2FkNCvnJemFUqvT0PnelY2215LStwGPq8MsMlPere7irGtzN+8fn3uMsLfnH3HSYtuNQRc8u41ozWFM/5gPVZe5ZPS8LwXB1OZz3TyOCNdudxkyWBnagD5eVCw16kBytkGCiLrUHPCzpvhBmDiWasS3QCOZlGBnqWwnUOWfZaaahsDoI73Hs0Q7SgiYAmS1hcgD3I1u6mfs1eY+p1sxFQY395JwFKVF42ZkTwygTQS8F0Lp0LAoBn5oB6JFESzwPfFyo3jg730w6mD8CU72Yra5h7otd10FknrCWheaCyloR2zkAVDO8SRpfz6n1jgzm7ZfHWKREYdcKZEi0y2Bu2JUVa6CgE4smSkjW6bbJrWToiLC2EvAZjbfP+vJRTroWuTvaTiELbB4yoT3lm63WF1YY0D4Boz4S3gQHLOqATCLaxYRgqxrHiMBRMqeDaBgxS8Uf33+KLwzP+1fMn+PXTAyQxOwTwjKlXg4lCkyEtDPZpFlg6sS98ug3eksNgvAmq94AMsHFCLCuDPqUA1ohMeblClgx7c0QbIxBmGydIA9vyuRzViRwj6cXPo0ZkBQA0R1So2xnRIgtTjg3J7LL4vEadcc49sdIRbQ1OsOifeRyo764VKNZtkuAgqQfFcmK95jTXzoota+3PDoC2URuRvTTBvFWW7SIj168q9K4x6bQqrm6TpBeFFLkpF0xiuJSEd+/u0JYEec7QRbrt0nlmHEEwrwnl5MmcHJlBwfu/nZGWhMvngvWBpV37Ei+YYH4reP6Dodv9YY/sS8zqAVinTR/TtvGAjRrs1IBrQnoi34F6smM9bb2X80zdvtwHlN5w/Evg+rmgfBbBXMAq0EZDvSPC8uHxwqCGz6V5cCrUSj4WXL9KDFDMAlxGZmNPhkUFHyz1Gth0JXdRnYB0Faz/7BHSgGFxzh1HPQ3PAnw9EPXxvHW/CJ2x3lFHnL/kgqWZhHXlCCzeqm98NsgJuPx3fgLTnwACHL41J5mSDrc2pX9isyA/Cw7fMhk0PzJoET6GVMCuJD5sIwgX/5BoFyTgm//6Cb3UppH1upxIvpUWvv9yJ12nSQXG94rzXzwgz1u3j3wWtDkjLQwWpgXI77g31nvaDenisng2tDGhdUforx7/Fpxc/wkBqHDYEZVXa4raFNd5wPJhYh/PF8IiI6rNzYZeswR1+uhDGP4k0FnvKLhM5ccNGQlpjg0PZkP2kuTJapTWjXjB1FvwBByYMAYI4RZSpEPtTM2x7IraABkU+WUF1gp4tBXA5lDGqvlmJRES2UrbxIjP28cz/ltf/AWyh073EO5DLrg7zniqkWGC9wvd9RkU84gjFa0MCfWUUQ6JcCCARtPqfXFrdZjmCrteITlD3j6SUArYFs+NGmnVHRk6GDYl2Gm6NW7MmC1cCvJlhQ0J9X6koeJGaScUUUHLiWQLdaFiHzPaoEgvC+SpQJrC6giRLWPAKNiwOW4hX82AlVkrE/Q6SIvm3mXr+bo5aehQbFNBuhTk78+AKtZPT2gO8UUNqJyxl2iM5KRkRVBN0UY6LLZ6qyM3jpYqPUNpF/azzC8kbkhXRhR7tB7b91ry9fSgCBrbUujKCJw0Rux0juyxMgO2NgCEKd+Qc/leaGmDV/YWT0p5bwMweADJlPfvWW2v80GpzqgcRu0+y4Jeax37qI5AvWs4vJnxxeMz/t4nv8ExrXjD3mA4phWL7xEVQ6mKRQ806jxqSdRFYtTZa7KDFArC4AIv4M7AshKVcDqQaTMI1iJQAwCJQRqs2jMGKF4EnJgZlco9Q6ZZbzck2702ZustGxU1iOzZ6sRltnOcuRBk7S3VmZy3gEw35n1t9mu3rzskg2HrBl9niv0IGr1lZurmDO5ZbaO/dUDla8WeYE192kwIAZNF0AZDTQm1GGrLt854E+isSIVsl2kB0oUwRVOgTFvgCYDD2v3R99lsAPmZLeTS4g6PuZxFZL46Qqins7bSin6IRiTf69MC8rk/3IcXhdQKvRTodSGCZYgs0m10mFDbrf+6JUL3yokGkd4VfPr4gn/wlpmtL8cPSDB8V+4wt4xiNDpFDN/fj4AoylFJLBP1TBFocCfevG/3fm4g4ka1IJ2vwDzDUuJMpES5F+EeKRUYB1ge+T6rt2gZMo3DpNv7zrvWV+6QRouskKuAhPasKzJsjL3BZxUnhusjK8r90GueO6dCBB4iQxaBJpddZKC1dBOl18tKSOY0AkJofDoHCSRJ72DoJHUtK6LdYG+l9xEyh6giYT1bUbYfEzhsDijKgLxV8YC8YnifoAswfSvIF0Lwy4FkKuMTn7dMApvQDcU6AcsjuyE05y8p3mZRnjz7F+U2AsjaWG/m2dZ6SLBHGpSRpcE92B7OnWgoekcwXd0Zsa32t9d5VmYRdamQ69odW1vNz0y3h45eIjW4OZMN41gx5oJDLhhSxWoJqyX80eEbDFIxt4TfPD0wC+gs67yG9IwwywWcGC1KriJAZeZrKJBpgHgvbQYiuba0I7SjvLCsJAkEiLh5uTB4f3/YAuGR2Y8SLncS11NGOSnSEtlUfk7X1hGA5AfwoO/MgJhlnrsmAkSWrzpz8SHxnT0Lxux87CHOb51i/zcMT5R9HRU1Sc90t5FEVDDgYHBHfIG8XGHHETYc0ZKi3DM4LGtlCYqfLfvIefpsRpMBWBSogvYysKXghTZ6myiXzQRZG0pNsPcjy4ecMTd5IDzg96aGcuKZVA/oLXfKHQN2baJtXw+NWVFvNweB1/SzzOPyhcvYtNn5mzzQXl7f1i4XrnzoLxwa0rGiFgZWo0ezibe+e2D7pOnJ0BIJPttIh29631DuEmRoiI4OUKF9fqg43c/4+Zv3UDFkaSim+OZ8h/MyxCNgOqxYPjOUNSH9csLwJFjvDfVEh55ONmHdaTasd4J6NAxPgvu/4EWWR+6LfOFn8gUYnxxl5G1Sx6eKdCXZXDnRj1je0P4//YoJsHonmD+BO/rcZ09/BJTHhvs/TXj7LwrqIFgXoonmRHtQircjOwOH78gmfv00ox6BqBOWKpDZA7yjdSc1XUhc9eGPG9JVcPdL2o3LI1DeVuR3iZlmeCAwTKZmGD8IdPFrek4inQW5odvDupL0qg2G5ZFrN7h9kC+eCNlx5vxV4/d2cvUiSO5IduIpA6PDTXF9d8D1eQTmBL0ogomPGdldpNEVglZDc9ieqRciZ0OrtLPJ/CWbI7rCWwZJVybS4HUtHuXuB4ArxLyj+09hHKHbTvH7FovgE9+ZQRPJDizalQBd2VJRSmcmpPFrsJXKXke+8DfLHUYtuM8LFIZBK04ZeFkrRAwiRt6j3TpKNeQ4kMKocONILwXDwvqSDskZMvVdIesmnYVCZRjZAzcA+ruIR++bOXxTeZ0gowIViY3uqCwFYoSSpsuO7UwEkYuytEXBbNeuhQeXwh7vXJj8uw0Ol9oiSmHwEwJOGFFvD7CD7/UWAXGo7ZzyaLsTPR97D9TIknmGG6Uw29d2dZKVMktDRCDXtCnfOFSEz8agiiBfPXLt7HAdwhkOnbrh7eQedTQnbTIe9i1kXLzP5xZUYWhzN90u4zEf3UHy+zC6HPPn34m4jAeXSJzGWi0FYAEJiYi6rw2AzYgMqGCjZxQEKGVNuJaMlzKhmeKkS69pqyZYasZcMmp1eOb+XRq8V6QzR5aYeKH89OHPlvNG+BTog1jPyDyvBRZZgXBeU7pxZC0pejshd1Ijg9vnfe/4xvw0Oo1onl2Ouaq8lwV5W3z3I9i57Zhit16mO+gyAEVjIKbJR5/ZMhYfQ9luyHf8+RiYaGRW/rEh6H0UA7asTWBCSGFAnQJixYyEeM0hOstjb3fkh24dgehPXg8hk+40eW/GIAUpi6AcErO6HnySpfWgVl993Zz3IPQJ6HxkCJpnulIwdcb3I9Oi6nND4Y469hjNSzjariY0INbdaANw8d4K78sJSRo+lAMubcT75YDndcRlHqFnZV1TQJVXvtcNCZrDFi0rmhKWL1cGY2TdyU7OgOgOTj/cXGOrxW0u07L1uI7338vbHvrVEQP+3yKdfbzvLSdgdOH8gV6w9FFmPJzbIKHy25djBg47aL4INKM7/n1udm3L9kOcZVaX2qHQIv5+SYFp3H14LzzoiDMSt/jzru5cqnUHV1YGcrJ3O4B65knRszXlQHlY76TXMNaTk1oN1Hvrgzh00+GHq9dp91pl85pRznvADyOAU52ttwYnyV9h48XnNGwb4znSWakfDh2Oa2nbrx0BIWHkAqiCZUlI2pC0IUvDIBWD0NltpnheJ1znAWX+//D2Lz2TJUmWIHZEVe/D7Hu5e7wzO2uKVdWPIZrdnA25mwV/Uu962asG+CsI/gxuSM4AxBAczgwG6JnpblZlV2VVVkRG+ON7mNl9qKpwcUT0XvvCs7qAHLQBHh7+Pczu1SsqKiLnyJHEotciW3+kIVJXs6mx8/li5/Ylt6+pU5eFlHt5noAUUW5627vBNEIS9irimqLZnl4X4+xVTVEagjZ+hzoWXCsF0OjNFZy8sIfw2rXbHhBpY/+u2208XqGxa1DUamNVrACx3HfNd8Vpx2hQ6s+4sChUUY4dcLBxOEURUGFwhu2zYgVBa+XZzHyLE7qKOBaUJSAvXevfdrTup5cbnJ8H9B+YOLowFPtj7RyauH/XGyZytVNoRyqp3mXS40uCwNqXokKKAAsp7MHQ/P4T1Y/LQbBGIFS0pGi9NepwtPhKYDGTNr8hc0S9RMRFNmRyEWjibNUaec4sN2LPGsAC65WPREVnJv6ezMsqqGvAskS8LAOKCl6mwUkoDdnNJaCUQDBjjkgnKgezzQmNLVc7xXInCKZgPHxgUnnFNPKYTLZzoSYqDjP2jYhDQBmk+aw48WyuHRmv+cgig1Rb8yAoQ4UeCqcd9AHFxgVtbTy8vjLyGs9fM54nGELgI6yAnhkX7RmkrT+6AN2zTRGwXCcuCj0FaFJcvua52z1zfdPFbC3s8qq9fQq1XMqoqH1AnFkMLSMLHmr9y6UHLl8mVCs6/Mdef3CSO3wEi7kJlEe3oclxEkAF8cfYNpP3ZAHcmPHilUfeNBNWUNdQ7OtjhRwyYL28UCC/EyYRjzQwqQJ89ODYKqrHgNJHpEtF/5SvqI8UomKCU+2hupPfi17x61xoDzxQrRJuAky1o2f0JCmsPLDyGNtBGCc6ewTF8TijKvCb5zcYU8Z3xycc4opDXHGXJrysA2KgaIFGveofjpM5w2yHuh2GUEV8nNi3miKDmRQpPBUpkKNFISle9WhJqdC+M7GTQHpbrpBiaFTftR5IFyHxoKcMEZqE6I2Pk3k680eO426GKFgQsPUqI0dWhEtmH9yYML8dKUbxsjT6oGRWBFuVvtIm5ruIMgBpEnRnV2e1g2KuRi3KpGP1Cfm2N3s0KqonPkATugrzlszq0EFqJepd5vZ1Ivuk93BUglEs512Sqx4AoyV7PKjsa9kOXtk2+npnFcuHgnDLEQgiQFkD5q5DmEk789lx5YVoGWZcBw3eoxgFJe1HdkhzULWjAIQr2LryXu0FNbNApVVQjgk1cyxLS/5fBQ1uLyqupLn1dYQlIE8Jp6HHj5db3HQzbtKMIWTMNWGpCZfc4TT3WJeEVLBVDqsJlcyOOGxFG3V0NAbryWLyK8exoUENcaqGEDky7z2LLjgVN7R2GzOUoAO/pj7r04oW+75udSpt9tFAtSW4OnR8FhORJqz6+d5mo9o2ZdPuGrl9rRlAVfTY9gYDJaMh54q4FgZlyvtstuH3AljSA0P2jA4o1whXjazs4oSG5gBoMwVdyCm4fkJmD1YoaGqRLoziAHHpZDc+zQ6xQaE3VqW/REvgQkuO0hw3FKQC6VyglhB6L26juCqFbfIYsB5M8djHqdwqaq/oPwUWibzwI/Zsd/3NjkbuZ87qmCj+knZBbLG9AyAE9nI+ryMupduS3fWAKXf46XKDT6cDppce46dglWhtAljxNPOZeNLpdPnRRrtdgPB8scSybNd6OADrCp0XqIZWRGHBzxBdGxfX9o35cxTdAuF9T3bApqugFshXbXOEwwRgLnDBH86TtH0iQmZTCjsqs14npceAYgiVCy8td0QX0qRIp9p6QRkf5A2VT1Zkydc+PEyZBV8XEBJpVH9NATgMvN5s2eh+C64svjZWmQeQAHKJ7A9cjAq5AMMnrst6K6ij0esX2tNyL200SumB8nbd5o++UODr8jXHDe3VQkMOTXSI43QqxbgyRc9glFmNHIvn6qyOjLp/uOp7Af09xzFKS5TDGqBLRT2YTZtApgZsvfaCVhB15dMwscWs6wr6UNDHjGNYcAwLnsuIF034OB+xvPSQKSK92LgsH/nxUpBOxjbqxApntC/3f3KpiJ8YP9S7kTaUBVoU4eUC/PgeGAZI/xV0sOJ7itDDQFq871/bt63ot0uqNRhN2QQng2u8WAGrmB+MVlCTrFdK3/sZ9qhg0S0IyqFrDEQArXe29oI8mPaHOfO4kGJaOsH0kBAKcPP9iu5l5VijntTx8SPPLY7aApa3PZbbiO5UMbyf257VIIzZJhuPGQRSt7hFi8AnjKRDxjfvnnBZEz7KHfIcEJ8SkdqniFO+QfcYcfdrIE2VI44UuHwRML9j0pVeaHvLV4X6JMX28zHjq7cvmNeEp3yHcAnQrlLT4RSYOM/A4UebCb0S2Z4eqOmRLsDdX/M8eP9PI9a3FSgwVXqF9ruiGoD0KWL8kWfK/EW1/cS9VHwChqsdZwozxRk4/VIwf2ln5SU2Wq1k7n2NEWvs8XE4YJ4T8g9H7oNvJtzfnXGZeyxzh5qFI8SmgPG94vBTxXIXsNyxlWV+Q4HZ6Y4I9u2vI+7+qjCBPYjp9qBRvVGdRaqQaMnrSF8TVm2tmdHEqDQwuV0e7Dw9KONryznqXcHx4YL1rsN64DotD1vbkCgLE/XNitlYlSFLi1XDwjVLZ+Z4tQPmN9JAmHxLWzj+pLYH6I9cxOr8y4K7Xz3ifB4w/c2BTMZFIBPvO99oK5A3WxVg+aLg9psXvHw6oMYegI3lS4r0HJv/vXwtyMt/IiRXAKBwH2mxf7fAXq4OghYs2s9wqPI27gSwYDxxRlQdK8LtisNxYV9MITW05EjVxSmgLmCTdOQqtUHZVdvBBQCuTOsCUk1kwA8IW6/PoboNDZPrLzfBGOCqyrfJu1/9KKQI1pU9Wk7jfukGZA1IUhGk4pSp0ltyNISDF0nlQeszdkqeX8OrCik+E1TLviIZjN8kuyA4AC5I5YeD+vcaOgAmBEEgNVDMZ3f/arTP1mNT/XNlW1sfvF6qJdSvGsgb5XL3DKwiSrrSZiN5oI2FqLZOVjl24/e1Cbg6nPYovn9t+3lHA2RDPWBLVXkx9igY7C6bTauYTeednQMtCXe78qSTiScpGRgqhsNqKD6wpojlENmfWwFUBgheUY2zQKtRU8OGsl8/dFxV5r3/xCujPgZ3j6zsX/txIK8FLX72UZ7U76r/6xpxWntUCB7XA5LZ91L59cvcoc5xQ6ot8W40Mw+09392SNXVyyrgV6jz65eJ8jg9+eq+PpeI2vcFu/e8QiL057//+tr2191+0VFz+xHBrhjhLJbr99QgrV8+hM3vtFETv+fa/fMa4uz729fic7et23MUZ+a01hIvRsDojptGwp5+rEGNJi+Ngl9GRTkoyrECfUV3ZC9+LtICYFcvdkSj7VULvn2fA9xT2j7PWl4SWkKqr+5vo+SjUR9D/vlB2fxX8Gfln2cBQCbJQ1ZBWSPOS4endUSSiikyyf04H3FZOzxeRkwXYzI5MmLoSEP3mzrXzraKthnjDZl1TqoXejQxgXO/+9oH7KjOP0OhXiO4IvDe90bH37+Po7MxogmMeND5+0gBTlF2+/ZbFQq6qCGihbEM0S8FQgyWRIRmprrfX/XVPb0ec+dnylVRToCd7VCUC3BRwLDCWgJo5zqJBZ5McKPpI0DRRl5cjduIxojpWJgPY8FhWBGCYjKxnFIEdfVAdaMzA9aGVHkNiDzXYOMRnc5c089FM/dnyvXa+5m17c39GL42QWFVEEmFxRH7N0FDdJGJXlUIcg34mI841x4vZcBSE17mgQKSprPSbPyqYLLFY1ej0jwGsyTNGVYwsSfOP+/Zd+4tR10Ehv5KI+RqznAA4xNbBw2htUC0kYOB31dbr+AaH3VnO+F6vZoiuCPvjXGDzW/Zw6nJGSxXTwZNq4ASM9ZStGML+frs6dbepgW0nwuFauCyP19eaSwoNnZVrYKlRCw5QbPQ9n37V+EoKN1sEv7sd/uWSdnuuZkPkLA3HFu6JQAL2LPqt26sMW8dbCw2ZS9tEw9dpYEEEDEW1n59sP2+9YDXy1ZsDyuR6MYK9MdS7b09njPklcJM1MwJfUEXC3KMyIGfW6tgyQk5B9Q1QJeAcCHaSPRWWn7Dwu/Wb8peYBY32apznWxex6TSqPbBKNpe+JVlu1b4Z1miGFYT4DK7king8jKgX+wsNsHdPRsrzgK1vuvNDqyQbc+6PWel36oVgBr7Q2GA4fYzrquknXK0YKjXLUafiTXFfCoUiKeA09MIOadNMXsBNO9s0a7pZ2Kev+f1Bye5pQe6FQgXM4aOjtqh6XhBqwj5hTmCtIfPNQIl8N9lBPSXE755+4z//N0P+Od3v8FjPuKH5R5P64j/8PQO56XDxypYhYpf602gTH6g6nA6VwxzQXWFvCgIRu/Lx4hqQjxNpdAodC6B3eaAKZEIGoW2EUWuEhwyq8faBaJDdqiHrOhfahOi0ACkZ8H8uyM0VchQIaniNPdIoVLQSAXnlwH1uUOYA/oTZ0yR7iekA57XhjBBrdqbC9Al1PEavpdSWA27LOwVdMSqOO3MqHhjQrysFG5wZUMR9uF2lEkPc6bTtcHpYeoaiuS9KvXuzpA9IlthXTmKxah2IoJwtiqjjXTRWjkK0WOYFFCGgHIwgZGVTfeXLwJ7jeywXo8UgGEwZJXqzITw8JNgXHmv8cxxMetdT2Vqr5ZbAtxUWr13bZr5veMBoUbgebeemRVof4XVerGqI/+CuLJi2BJK0G5CJlVmvTHK2rBVtPRQcPv2jF8+PGKMGbfdjHPu8O/7rzBdeiyPPdJztF6rQDusQDQhiKYE6X1OZpueZOwTW02k0EncFt0PAQ90nI3g771HfvazjxsNV2G0QTqzOJESt+qA70tEiAU/vdwg2OKpCj59uoG879FdBN0T2Q7jp2piPAVt/i3AwMPtt0tEYF8nsi7CtD/wA4jaqm791om/T8XmDd11GrSYqJR4lOMocowbRdvuv12DU+SKmsCJwmmdDSX2IpDyOW2jLsTEfhjori4O4T3UtuYhk0LsiGkoiu6poHtetuuwwkW7PvubqBt4v7UCObOH2Wl++95zO4TcHnzwvdvcRlf2A5GVeYD9iG3uIKzK/obI6vRVgY4V49sJ39yd0MeCu37GnBP+enjAPPXIC8VQ6oTGrglOcwyyickUaaM/EAKWNz2Wu3C1v7xXMc5oFLk6AKUI8hgQgyKvCTGFTbwthJ+diC3AcCXkKuhO1s/2PmKdRjyfE/58Ta3NRFVweRqBOSBMDIS62fryF+woqBzTI6v1cgNbf/jLBenjTjEZaKd6ox33ChxIp+MIK2niaZoi4PvEf9/72uteJOr6PWVaEacVOiSUm8Fjcn68dJBINhDtfJeQGH2To9jcHmkLLg7lZ2gZBZcvTZV95LOKFz67bf4mUJ+JBrqvjnNFeqZ/rgNbaIh82j0Yeyic55/7hxihu4cbF0AuwqDPE8/MfnKpRClghSWPV4rNmexeFF0FXN+geiKfgPwmI92uuLu94O3xgiFmHL9ZMJUO/+HDO8xTh/z9iGFicj99wX7CuASk6Akn6Xq44dic/lOGBsHpuw5q/sGV8cNq1zYCNSmR4kp7TZe6m8e5aZIA4P6pQDqvkFwbLT8Ykiim41Ctd0/OEeshYS0RH8oNfvvywBF5hWKMzx9ukJ6ijYHEzxTWffRdcvVhT852r/L2SH/YWmEEWhX6cIDckR1WDon7po8QHSFrbYrLDcm3nwnO3gOgB8ZGcS4Ia8V6y55c+jYW2/uPM2TJ1AvpI8/wYRtrCAHSaUV8Zh9/7dNWWBKOeMrWK+3nriNcnmyT/eLtRzw7l/uIcghkdkw7DYKqHBM0F/RVkS4JNdHfSVX0j6vR9At07Ld+/J+djWzvq08dfjy/gaxEVkMRVGsxdFZa7RWP/4TX2z2F5rO6EzANQP3FRPLPhx7huaMa8JF+6uk0opbQHMbxtwHDe8XyIJi+UpQDafySBeN70pWnLwSXP1oBBc6/IKOnfwSOfx2ofXBjYFUOW7KtTKyWB4pcHr59Qa0B6+UGoQjSi43UqYzZEEx0KQDjB2D8KSDfAMsbxkLLPdcg/PKCb94+47Zb8HY84+N0xK+z0ZLXgJePR86FXgTpHHD4nRiqqpjfkGJcRq7V/V+xtWZ6y+Lt8YeC/nGFaMJyx3M3rIBW2BrTz0xvydYaP9BglltBGSm21D9X5EPAyy+ZZ1HgUXD4qeL4/Yr5XYeP/5BKynf/v4g00R9633O+5YPpngg+jr8GurMgD2yl4P7guq23gvnB2u2Mujy+t1YaK+jNbwUv/4B6A4ff8fdP/1lB+nJCJ4qX84D11KOfBHEx9Nq7ako7zkh7fuJn3/xWEHLf2pmcds7WCvqjMAPHR0Wdf15Y+dzrDxeeih4cW+Czr4yafPxV9b8qhW6EVdyrrD6gDYwexgVvxgv+9Pgj/nfjb/C+3OIuTvjQ3eDTQuWSp6Gg9LGhBdCtesKAsyL0QO5iazWlPPxW7Xcn7I2BjYroD2FfKfVg2V6uiikiUGwJ7r5KyirHrrpkCQBHJwkuoW+9ilopDBBPPCzCYgeFX59V2rnJLciuTChVbAauozVAo96JUzt3vRp8eB482b01qqduyHakAIQU3cRz1CiYKbSg2qlAfFuFj34Qo5RuAjG6JQiqNuahboxJP9wcQbKqfRn4jOMCCihYxQgKaLZq2spNWHtHaSwBR91QMmWS1Q7fupmglArNhcF/StfBPzYbbpR7R3JbFU7NITBYcUGxuDIRX60C1kZNJEC7Cukrxi7jzXDBIa54151w6Xr87nAHEcXzhXQSH1UhZuekT0ujrb7ucXA0a1/lbwiXPX/dVaJp0/b7f1eVrNGXZUNvrRqn2ex8FdQQUGJEjQEnlVbtFVHoOaE7UwCDQR6D2DiXrZC0TyRfI7p/12uPTgXw5swOm1pyAMT7L1+DefvPNCqyANAQtyR6T4Mz1F89efgcmgtcI487ZK2h7IFOvEbr+TP7BniYOk04Ctc5Gfvi9etn0vqOGjpDY1c8gLy6VruOJgBSsflz94te2Ki7PQFsaKqDCp00BFfHinDMuDtO+Ob4jD4W3MQFl9Thw3BkYth3Nrpgx+TwS5TdZwgRHvb08+dc7MX3FxMQJqUbPdTQtsgij6YALQrNAWEprf+6PbOrHk5D0SN7kGLguIgYgdrHprIOAbQK5CUiXkiRdkGQjaWAjQEUrj8DZh+SC/Q80Rd13c+vKb42WrTfbX83tLNe76f9n9cjibw44wj3DslGDNa3ujsjVI29tT8Xt+fVno0VGFlEkiba5LMp+XvXfrxYrzdUINFQffsc9onJNbvK96Xtw6ak34pe+7WGCUtiezZ5s3NHT/k9KxjuArSQDbVwu7SipgwF42HBsV9xSCtuuxm/HD/hUns8zSMew4jnbrB7sKBPHaVVBEMb3SdLBsKlGErU/YydINrc/c++7tfuiOAVU0BhSVRulNwqsTFo/P3cF5C9ELBWTg7whKZWsuvkEq/1I3atBvvXz67D7NLF0JoOgRfsBEwobYoFacGWCFcFR9mX5t/Eni3cJluB0Z3SxhLa+zkWUjNkWlns6gJcENBHUPLZ6zbft0ezL14bWoJbDtgVK1/50w5Qi49F0SYfOHK1t1FX5ff2NL3puJcytjGMqlaoVSa6r97DE8OwCDDzc+JsLXgj6cB+5msH1Hsmrasm1E4gT5wliwD0Y0YIFZc6cHqIgkw6MK7ai6iGBeit75aFGW3jl8qJ534dgHDIJJL0FXUJwKcO6XyNJDbhqfbmhrz2ij4VFK1YEj8jFBYUvaigEdAjn006U+AJgeJUKoD2bGk5jCvejhcc04KbuGBKHbo+Q1WQc+I0mMzYJhqdV7Kd2R3PazW77V6K7euI0sNU/Ws7h7xPWJU+Jxr2w7E7gngm0LAeYis4p4mTbPycdVpx/1wx/vYZCPfQ2KMmRf/MOcbLbWD/cdj5ZFvT7qw4/FSw3AWUplqPxk4pR2026a2gcdHGOlseBHVU+PQIKKB9xd3tBZe5x3zpyO7wmDkAe8Qbuz9xVaRZMXyq6J9X5DFivYtE/a0Yk021XqoiTYri4sP/kdcfnOSuN2w8l8pN46IjYtQsrhCaA9ZAmikEbRaSVwvKwB6qMirqkvD+fIOf1ltM2uE+TPin42/wodzib6cHAMDppscLgDUPmJ+pfFhfYH0vCbEPrSqmAtJ/IrDcWMWtR1vwsGCjycIM77KhcI7q8puG3Fo/KAAGSVJRbnuUQ9ypRyr6U0WdBMs90YhgSo6QCMWmHiyiGM7scw156+XtX4hMh2xzFGvlnDmAzm3Y+pUkV2Be2vdcjMHFptqIFOvTklwRn+Y2L5d9bkZJM6S4jbgIYF+XCPTAsRo+k9Al91UEGAAfPRF8FIAnFy1I4TVrjA0t9kMpLJUizV1odDafvbregXSZfVxe6QRv/pZOFQDW+46b8sLr715W+9wNEQYYsMtC5cSWMHgP2G5YV02sKPnnwRwBVQa3RACAiU2g2VLpQIEPc4K1Y/Ww9gqMpMfc9Aseugtu44wvuhPOdcW7wxkpVFzOA/IaUOd41c/FawqtX6MpHRttalN3tJtQtIpao95ZAWorOoWmSt36H20WH4AmyEQl0wLtAsKaACWqXToGbGEOKAc6JghQTRhHrIdnPFE9Os7A+MH6fypstEZuapYwhEu71LR12kiJq+cV+O+9oJLZMindlYhrirwHgMGMMjCQNUNdiAxo/YwuvMYikDEcduqz/lIRFmpeJR8MIPbGyh754IFdE7SijS13ss0ZjkRnNML6irw3kFXcfBsBjIir9bN728L+8/YJrn9+1wEDeys1Z6huPenLg42Eq0KEa7YAd6UtRbN9pzWpmIKywBBnJgOutF0H2nk4ZhxvZrwdL3jbX3CT3M57zgcfRvxm7rBWgRT2Nrn6MFsQGKxXUzmuNUIOHZoIkAUCHizkG2MsWKDNURikjKVZG7rV5vDWCkhENcQxmGgTg0slI8jUVPsX+nOKgwjwDOTSb0lBBfpP4UpRXWxeYCje80c/Fy6r+e3iWxTkWYJznHe+s/nnfZGlJXb27y6hDv3unoR94gD3sSO3/vte/EnxqvACKxKqbDZ9VcBxlhCwobmW9CJXE2bcJQZOgUuC0gcmuAfzg2NFPBPZ9UJ5WKm7EFdtgiwAUG4HNHG1Zcc4afsoQroEDbUl7G2tymbntbNlLZtvb7TkJqTC/0+TNmaBxm2PhoWBX+1MaOqgGI4r7g8T7ocJt92MPmSsGhGg+PbmCffDhP/lPGCqI+JF0L0wKSwdWoQcsukcZCZo+Sa12MRjK86V3iXaZuMqaMqpeRCEyCIr54nWNrandgEiFeXQIVhfelitmA0YDdLPCYH0gPyux9++fGXJl7QAVRTonwP6R14bA3orSANbkd5fQRpynJ5nhOcJTsHXFFDHrqH0slK3owwc/5bO+SpR1hRQbjoi7raXw1qa7e77w/c6CGGt6F52yX6x2Mpnpdu+auekmh/NlWyJwNhH49Ym0Z8q+hMwvbHROt4+EdVGp2lbz1CAaNNCxg+ceZoPts+yIl0KpCjKoYP0VnxYC+Ik6J9MZNWfl8crqrZXd2fQYwe5FWhXEV8iuide7/LAmwqztILNVfuKMIEsAsxxE4OShbLROlTkIJCbjMNxxsNhwh/ff8DTOuLflO9Q0eHpH1U8/5kAtZANoObhRLDcW8G+AN1fMLBq7ITC/bjeKfIXK2SKGL9nP+b0NQWVZAqIl4D0HHD+H9/SrHqyQ/tHJk2eDNa4Fa84Ak6Nkm0+qWf/7MtPN/g3H4+IY8bhsGCeE9aPI239WBBvM8o5oZZo+iZixXkYAw4IBsZ8/McdUDffP72NWO4OHAV0x/iz/6SMewBjMNAv1d1+aa1tu7PMQQVnAy63AfnhQPvZxXZNWyIwbjj8KHARyHwDzPcUAs4HFmWkMq4Ihdot65uKcA7oi6AqdQe8pQTgWXr7lyzk9k8sKva/S/hQ35DBNAmC8CzGAfQxC1oPcitAA61l6/xVxOnb2O7b1wZgLta9cG3ywca1/j1ef3CSW0dgPRIOSy/m6LyC6BV+r0oKWsXzCj2yB1cGbiQdFFoCXi4DTnnAqgk34YxfpSe8iWe86/8Yp9Lj4TBBRPFxjlhvImLiwjGACUjREKLJq3loymUefLfPNxoegFbdjYvaAXFdCeWog9Cq417dEwA5DqRm2ftIAdJCA4hTaNQ5N0Q/CJyemC5WIWo9ikxw06U0YSHO4+Qv1psD59DW2ii3/j30HSmSKUKNZqZWufdeFrksCCvnxar3w4wWXFWjBAItiKl9ssCSYiRSKP60V/QtTnHuwrVKrb9E2gihfdXV5wU2FWzrVXGUpvbAeldRD9UoixvK4BLy6UJbLAcqvEm1WXgvMw/MY48i12YvdnC1BMmUplW2JJeqfQq0QMPudbTZhCa+42jRHlVtysb2dU1AOVZorwh9QYwVY1pxG2fcphl3cUKUijc9hTh+HFbkLrEw4NUvC6hLHyDJhGyM1umCCwCLLD7QvfXKu817Emzv58l5Ovu+0C0wdhaAKXGLjaWStbPnFUiPW6WJGGRTiG60OvvblaLjzANieCJ66z0e4gllGxsknH8bwxXlsqFQTSFXqYzt/4a0Yo4ntNuzZQIsziZo4lMC5F0Cbcrifj1wgTazWdKkN7v2NoIm9rTvVTJUQYqNOtntC++5ywdDPk34rvaKOlQT4CD1NZ1ZyMsD70PPBfEFW0D/GtzdJ0QAkCJkGKDzTCEh3ar/+cjghoqfWw9sQyPggSH9IqKpvQraTEl0ZoMJrU9xGDJuhgV3/YS7bsJDuuCb7hGTdng+jjimBe9vjnieI/IlGL2MleQYpLFJvHfX91ajkdrhHhZt+63R9O17bm9xtuv0xND639jPZHbiyPlaCXiboAcUSCcGt+lBOB7hwuo+C7e04+7ZUIPJhKaMPrpHttr8zl3yeIXCu2BU64kN2789aPeXJ68D549jIQXbZ5ur56BG32vJsScBO0Rqm71sSuRmUK3I6zNpAahV0aRLMBzN+mJxFV20MyJhmx87aKM75pQAxNbTFhZpasJ+xgI8d0QV8bRulGu/HwAIyv0qQtG3/dru556nLZmrA4v1MQH60QMuFialVpsjzsJP6QTlK85u7E5M9si8UJRDxd2w4K6fcUwLDnFFkopq1c6vhxesfcBvb+/xcY6o2kEeXdSSj7QWOmoW3ukvSh9YIBVpsUprs0qbfcOZwB4sd/48wJHfK32rwvZHF6B9QA1Cym/e2afuUJ0AiLJI1H+M7TP2iWv3AvSPntx6+9Are/a3Fo67q11AegTksgklicUqAGyGc4F00fJ/sdaC0op35W7A6krsrvOxGkTWJ05X0C1+005sugYTSbZmWODubK+wxRWk4GPXU7y1WTkiTBRerNWmIo++T+kPtPPz3gNioFQ+17BQqCesaoUOQZrQCpbaBygC4tnGgM0F0c8QV0/3Oeg1bGeQvdI5oB4BDHw2/RMLMtO3haJQHxJkMbvYxSyMU2j31RPCqOzbBYBEHziMK27HGb+4fcR/+fbf4XfrPf79777CtETcf3HCd/dP+M3HN7j89R2LYgr4CKJyALpHwfG3/LzSW4zp/uGgGO5nzDoiTpG22Fd09zNWDNBF0D0G3P0laa1Pf8b4UCUawKbtbAhFoRWtLai46LoA2jHhj48RcRKUQ8LLbQfJAd0j73e9yeiHFVMWYDZhz577onth4dSDrPVWcP6We+D4W45+XO5ccwKNkdifFN2pII8U3yvGMLtilu3PMSsoOdBR7R7ygWKhrtdC5qi2+0PgXuxOXNvLN4J85Pm+rtKAJAfypCrf+yaj1gQ9RWpo3sgmOFkohDt+rG2v16gYPkaIRhOeo61dflGAAOQcES2P2N/H5heIDq93gLPW9kBMdwKG54r1IFjuBPlzOjSfef3hPbnHiuDDv1fOjiPcLbapCC17n5d20vjxr8WFWjMzgNQVHEcqsi4a8akecVp7nOqAIWS868mZBwaEVBmcBXLUgwv9eDCmsEBPEJQccu9N9Pme7Xos8G/X5I7Pk5UKBBPnaE3xni8r+xl9oDjfw+h3iUbRP270Oak8EKBMlmoHhNmqTsWo3kYP3JraLbgYzcID0MRCvB+jZ+W+jVvxxKDRFA2t8sCm25mB/45XgSzocRXSq+p8Lc1IRZXxvcjG8tsl0xsNvGzBuILOepdccu5hRBkCar8lAOr0Q2WCqUl5aFT2+1LEJGA9BqIk2QsqYtTw0D6XVV57aK1QUW100ELkr0uQ3fzQ9U6REvsBHXXnHFp7lj025+Qb1xyTaYdt/Tt2DwhMgrqOBjfXDoONLeqk4E3H2bJjf4+p71HH2Ggl3idOhEM2O90dVKz8UTEvzIDEDX1rfZd1c1o+y492sAWsvKDNRjYHapVzR1Q0IJhSsPfeh2VLsAG0vekIV2wjsSwQUT4TVtWxIU5ukz9DKhWcLyb8Y7bvCYxkqno2xAegzVjiq1YFF0+AzeZl9/9+ry3pcLOwvSGqwFo29Oz1a7de3pumqKDCjNmJfY5YhbOkygpzUiDSiFqfSi8oWVsRDAB7Ozvr0W80Bds/MTJY8+JALlSbViVrw+cOA9CBxRd1mmhl0hhWYYKkakiINtp8sTmHurrvR/OdrJJX5DXiZRrwMg64lA5DyFg1YdWIuSQsNSKFijhm1CGidhw5QZqVJaDFHe31a6OXCiT6ASytIOXKlTaWnDMMnSnjNMDOkqeX5crG1XwDi3nb8xRlMVKDBbnOKDYGRTrznEmTojub6vtiAYH1vIe1sPi4Y7jse75bIrlDchFklxRLS1ZbMndZOPvWbTEzWWhjsFJi4rBwLFFTl/ZedEsm1BlC2ALu9koBehyvbLuN2nJE13+vKuJqRZ0utOo7C2y7vdRX5Af6xfgSWqCVBxoS2ToVca3GogntfWAF3kZZ3SuLx0C7f9Wus96zyhwyGmIAoKmTup2VflM1rtbm5Lbj/X4aGShrUpQaMJeEo40GvEkzvusfUTTg++UeuXRQ60/QYMGkAD4uznvzfFTi5qu3mMn9p1M4KU6Fhkp7C9l2bortWzJl2PrCcwFWoFdBm10bFy+ya0OBio1IaiKG7mK8WG9KyiEz3mvCn2qsoKxMYIaNMSC5MtG+PcAVsDWR2aVdtJCNPxtnSyq9kOZtU2syjYK6JYY7MarQeoB184eyJQFN2EmtgG+jEcUKOT6Wqp2HNs5OIydO1C4gmFowgK3VwmK8UATVJmXIUDgjWAUogA7q5aM2YtDtcXnoWiIu2cf6dRs9PgbooYPW2BJ+jWBR1icJ8K3RPQXAZopOX/Ln4guDbalWmCtAWoVyLWPgmZPs3k1QDEU4ckthY0AF5Sbi2K2oKvi352/xYb3BuvJMGbqML8cTPoxHnMcCzAHdx9iKJx57eNuiI5b5BhynGBXLuQdWJpQeN63nHq7/s94oTr8Qi/VYFNXEnlL3zfuC53pkETnOgv4Ti8rrF3w28iHZtBYAYGEl31fGnUGxLgl46TD8FBFmG4ljUylKb/7B1JyHD2LIKM+B4Ynzr9dDwPTOEuejoPTRZuRWlI4MgLAC+OgAl8fhwOnb1Nob2AvMe1oeBJ/+rEdNRtMu9rmTQh+IbrOFzK+V7Kp8IDLrCs8VRHBDJpu0ft+3tkkpBD+kkn6ej/QrPmXAGQ0Q6is0nYAODRByVmGN2PrATdmawrLGmHHz3SfCyvebhfH94X1FXjd//ne9/nB15bsFGBJHjyiQTfzHKUeHnxTDp8LxQiOHGa93RiGw4HrrqwIzAlXcHGZ8c/uCmzRj1YQf8z1+t96jKGduHocFv00PEFGkvmB5yNAUIT/YbNHWB7xDCJWIapoqIMHoJFuFWeNWvbzq4UoAYOiEOVLSk4WoTrBDtVSEaW2sSqii9hHlTULpBP2LojtvPS9N9KCScuD0DdJnvAmcFUQf9SBLJqXHZfOdajsvpFx2CfU4MsCzkUkyzaQwx7gFSo6Qjb2NRtolLy0Ztn92kaN/gBZUxcmGo7fghmsmu4BdhcIqThGSqpAzaTge1EmpCCYOVe4G1BSQjxH5uJunKGgIAGlXQBlY0SuZw8s1APkWmJUUsP5UraJtCpXdFrBJXrmGPhbJ+i51XVEvE2O0rsMe4UpfXVBWzrp0ZUyoXZcFEp7Yub3tmQL+s55YxkVQAIRQcehXBFGcSo8hrAhSMUjFt/0T7tOEvz0+4DL3uCwR650XAswBQJrKYt2rDyoTchFF8kK57zGxYM5osD7L0PvSnDpCG7BKsa/fa1p35nxkDaQouzJg128IvBrat092u3NFd/Jg3wIYHxFTyFjQGFvfN0XUPtPzqkohJVXIYYT2nVE/iyXA+SovkhpoeyEAfWBAnnyElkW7AVdJPXvGhPtnt08aWmvV/SvE1Oj4yBaQpbjRnGslug4PXrc2CS/M1UGhR+ODilqRjRXffODvpWkLrvIxsdqZK2Sp1wmHCBDoB2TNLOZkCmRJDJCw3Ws4rtCuB4qgdETFeMiJBWBilEQ78DoK60Es0M1bsFIjUA8VSIo8R5Qc8Gk84N0wopOKqUuYK8fuTKXDoV+hN4JP54QykrXg7+XIMJ/h9f7aF3qqwqjdFvw7c8AKhsAWVIWlIJ5WIAXUPiJMK+LjiX7RGDJ7XQMfXcT9rRg/At0pmOq528q250WB7qWi/+SJM5j0Pc8UmuoSA2slu0DczkA/5bPXG+LsSO6uMNgKOKanIJeJs3NTZMHHbTQGlLsRdUhINnKE4lQDIMKCpffziQBjh5JMrCfvfL1Q9EePHYMtG/HVkuU95Tmzlz1qRoiCfOz4XGHPxZhXUKA7rhjGFZdLj5pHCMi48oBH1GbVnrKtU0CNkboLKhCtTRRx3/OJFOnf1xV7jYX01QVZkgnJBMRzAMTaT+oW2JUBmJ3FZGhqmIHelU49+R0U6CqqCi5rh7s+IojibTrjnx5+g6n2eL/eYK4JRcXOAyUF1BCmsAL9oyBORl0XbEl0QAvWnVatUbFagSrZ3ssHWPC62zeZaGTtmKXWnrEYaeCMWerYtfMwnSugQLLrWB4S1gPjk3zAlb9igskikrcB9I+5Fcc0+oi5ihoj8o09/7kiFBMQ624QloJwmkFtj4Ta21liLVHxvND3GnopawZKQegS4ui+nnvCk894XhFf+J7aRTJuHMyoxhjKFHeCCNb7AbUTpFNGvKy07RMLzW0MFyzBHCLW28Q9fs5ABdvUhgBvWXCNCuqXKLoxU3elBqKKkeeOaGj9jnGpKEPA9AXj6JsfFMlivjzElnyTxt4ZQ5DjGHm8dtC4FVpVgPFHwfBJ8fIPBNOfzdAp4vCbhLgadbdnK0z3bKjgGMgeOrKVqjz1CHPYxTdiLAbg5auIt8MZS034Hz/9Es/zgDIloAqO3Yo/OpDC/OHuBkV7DB/Y1tSElt4IxxNZXAQB5rcVepuZXD92iNkorwDCLNCSWFQaKvJBkb9SoAjiYzLRSwq67dfA99DyrqLeZgy/7XDz54rlXjD9o4LDzYy8Dhg/WPI3C/KdAt9e0A8Z06VHnhKG9wG3f6kbeAa2GpReWrEzLorDe91YF0Vx++sXhL/8HvrtV3j+Jw9Mdr/k79z9pqJ/XLHcBiwPJjYrjCPHTwX1RXD6JuL5V/SX3QlUWrajY/pK8fwPC9ITxz91J2B4LEinDI0J651S+2SyWGxUlJtqPmgrpEkilTqsHJd2+B3Pynykvx6emKs8PwjmN2qjVXkuL3fcW+lMVsd6C6z3pmuwsiASVtNY6OgzwwKkF8ZT+SAmrIqWOPPhbfHzeitYHoDj3wJ3v35BmS/4+7z+cLpyjgh2ceS32wY3VeA8CtZbU1Lst2DgCqq24tae4rnkhJdlwHMe8akc8VJGPOYDIjiIPAopnjf9iiUnLJ3NdJXNqKuKIVmy9QUBuK6Q2kfuPnsvLuRf+9xL1BRmd71w4nQZF0hRq4oGsCqou6B/3/PhiXjWJtoQrE/Rh8W7c/N7aFXrPXq0q6Tz2i3zTAkNjcKr7wN0/s4pd8RJtsD9SkykraFsa/mKOuDodhPGaGu+oY2vEVz/HHF6kSdbFriGCBS/fAW0BquM8vdIjeSA8ppM+kp99qIYSm1VZUMGpKr1AkWiHCkxQdmvjb8iezcqYEmKErUsoOKg307dKpMA4COE9lR9Iqc88HJh9f9SOlxij9lgoVUjqgqGmDH2K+aBgUipaIwJokq+prrZaltHX2w0NoDa91ulrD1T/nHKij/nK1vx+bP+K96nZIIgAEx4y6r5KoYK4oryGortlcp9QWTHe23x93+ZDbZZtPtE0/eBUzsdDfNgPOzeA9se/tnnV6ApmlvCef396z352WvcX5v/v4ug1M0PSAaVr+vmU2XnpzbmhP1TAIHdi6GsLcH2zzXxkqtr+X0vASQa06HELbi2Sq+QecS+P6umw9GdSERyP8pGqkArgxAFsJbAEVKlx0cL+pdKO4+i6FKB9BWlZ5GGAmvc20TzsKFUJrbW6FIdb0AM5WxL9uqW98wFqZxzezVWav+M2rOzzy+1FbFqJwii7fPa++/2lvt1T3CbzzMl/n2/tKP8fPO6tU/4dTT7tEKTSPM57RVj65PdLsjt/fVCGI0/AEihsZH2bTimKHP9Xr6X9gdjxVbs9TVz2rNa/2BNu3XkHxSBloCq9hz2L6fuXZ07PKe2s4TPWUVIva6A1Lxd874ot3+b3Sx6/wyPHbyoSuqgtMJgO7d2Ae7VJVfBslBl+9T3OKUeT3nEp3KDqXZY7UAYu4zLISMrWyFgVHcV2KSH0JDQRlPcJU0AtvYXJ15Fe2y7x6JGXvL3YmyhRPd3Ct+60+CQFpP4m9CfJ2u7qJEHREtybT9633TYF3gV1obie2AHOPi4Ios71Nli1usaHCXvA7BusQL3fARi4d713u/9MeXP0Hp8WaSlgv5esd5ZcdVmo/vZ5+eEJhY+per1fgK2OAnGIAm2b6oh/TNrKhvtWRirgIXtola8NR+aD3Zdxl5ptFHrn3Y0n+ctH0wbk7Xfnj4G0v+tTDhqL1jvlL49hkZ1bSKUhqyGlSr+dY3IgQQPMTExPn/unTqTsadV8LyMWGrElBOWHPkZifH3Uz7gkjvUzPutPXOCYKygVngPFpKYP9fFvhAVFQJYXhFnAS6AWpznLArsEnCf1ELhW5pGNVuWVZg8e1tAAfDU4ZwDbk6m5g4DvjrBWgPHly4BmIM9ry2BdVvfers3n0zmKs+JfDegf/uAettTnyVsv+uxWlwNLTVkMx9js1WfruB7ks+a/x8WIJ5sDnwUlF6x3gRoSCyKueK6ueewAtXvxc7XMG1irPu9xDxENl0iW+c2ZmgwZLaD0dAFGK1IH/k1IrzbG5ONpqgr6HfKbi13a+Iv979+7xqskIVXuczvef3BSW780EHuEhHRqMgPmRLlCx3K6ZeC0z+I7dB3Rdqg2434bCeNFhwXwen9EeeXAUEUSQrmmvC8jgiiKAjopODr4Rnv+jP+ovsCv14SlsyKfO2B1ZC12AekxGpi91zgYg3FxK+u1GfVq/5om9oPl5/NkAPAnlVLBJ0+c1kQlwwdOpQjm8/jXDlc+XlFuGSs70acv2bfa+1oSN0LK5vxUhAvrCzW3qqe07rRlL1iDvBzDcFFjOxb9IqjIcuoFTr0wJG/56NOsFhPk/ejdRHl0KEllqDcvot3hJljDGoft2vr7D3b4c8Apwkf2agiQSAK6/TlYElmZXJU7qzpoyoElNFvxYAeSDPQPwvKItCoKAmQNSCfOqBQNVCKsLfKDgMNQHf2PiEi6ugjwlwQKtGHcLJ+4y4CHYPD4MWAV6+cI+IxAwegXhJwYkBVerQ+MtJEhCORIqkfAK8jLCYo5Czzhc9oOSe8YEQItals36V7AMCldKgacN9NSA8V36eCHwEs54SwdkgXQf8JwGmXJCmarTBg4KFShs2+vR+ixTFi69rzWfZPFeFC6UQ1hKn1Oa1Wpfde2MxgQ0Iw7R4xx8ugpSYGxTF5IGcHvQVckpXjq8puc/mFeXLmgbehnuI0TY80u7HtR1lWC2qcdlaBiKtKPI077AIXWy9HyLw3fZeEaIxt79UUtiDJhT9MEK4JVvlLdgnUPtYOaOMtQhKEHMzOgbyyopr7AHREQnkvPGA4e5xfK2NowkwsMkZI2vZlnAvCNG/rlyJnneZsAXLEXmBNVRCTQqQiVwFs9p4jXE3ZswrW/f0omspks8MKyCyMOMy/T0uH52XEyzrgh8sdV98cyG0/47afMa0Jz18klFNs8wZ78D3TUpFeVioav03QYD2va2XV+rjZGGDJioJoXyVjoTuROhYvK8RQnNaO0XfbPflInCoIjY5OX8g3H1COCZgU3aukx1lEtDUBslPJQdG+2BMpctqwF0TP09Z24gmjJ5ZeoDFWw5UNB0b22ndkIayZ54II+3S9z9HEtnzEULVxKzLYWK25ICwcFxefZzRxwGRKs9EDbvcjChSO0mtrbgynfDcAAYhPC8J5RuwiwjEipE0nI15o50UTLlVQl9jGtNXItowk2pRoOTpmK6RItWRjCCipgxRFeqw839Z8jU7v7EIECIn91poDx+9UacH2OmLX0rT59m3+K5oAFPthBbIGLB9HLHHAuiZMOeHDfMRLGRBF8ZLp/P/44QN+cfuEX398h6flDkEC5MREYrkTlCEgziZUlhXpVBsdNWQx4MCFBwEIfXwrHhgiVgYBDCFMp2JiVhUh8VyAKsrIcTlh4ei26vYRqPfAZ1TRvWTkMaK77Pyi7XuASW6cKfZUe2bX6Vwa+0FjgKwVw4loe+2YWKtpSNQQoXEk0+FphtSK5ZtbLA8J6VzRLwWIQBk51iqeBJgC6rHHepcQsjJe2c141j4gx5ExxhCvChIykcVRbjpMX/P86J8y4oUq6+tdj7BERJ8g4Uwb8/nVlaAD+4s511QR3f8rCxbrkT2Py5uAtesQDyZqNHXQqYcsgvmdYr0T9I+k0MZVjeUE1EGw9Kkx/DAD6ZJ59O0cMBkdFXKZIWXa7nMWlP/9C/7s29/h+5c7vP94C6SK+atMds4UNtZjBrpFMTxy701fJuRjRFwoQphvFPlrZo3lwPmqWAV/8cOXEFGEWCECDMeVhZ6lw//w/pf48fEWeOwQiuDyLfVUjn8jOLxne2M5UuywHHk//ceI+D5hflehXy6AAmUNkDni5n+JOPxUbaKKt8uwUOdK1uudIt8oumfB8Mhz15HckAX1MSGduT9CBt79D0TTh6eCdKqoA/ulL+8E09cdLmNEfN+1JPP8nQnjXbhm3poSApM6AG2E1HJHpHN6OyL9w2+2M8Iy7zBvPnn4lPH233KE5vkrxszdC+n//XPF8UfFegx4+SUZXS4KOXxk8l9GYPoC0LeC6YuIkNmbPHyEMRiBWBWHHwX1E1H8fADSSXD3V7zu+Y20fn76PUV3UrtfCib2T2J99cD0TjeWS1LULxYMNwuWUw88U79HUwVUoC+88TIA9SEjC/uI4yJkuBajfbd2N4JIl6/Z1tF/ItugdsDLr0bkBcD/B//R1x+e5C6A2nBlDQp0atV8QAL5760KXxn8Xo1d8XwteBXSErQsUESclh4flhtkDVgK+7aWmhBDxRAyBmQc04KUCpZUGy8+gIlUbX1du8/ySp8H3W50r3KbK3Gs1wlu+yHdKvSqWx5cq5WmGMgLgDBnhGlByP31+ykojrRWCitMmb1+/tlzgZTS6JttLqEHUqUSvXlNF2sPKWy9scJSmQvZeAX3avyRi+HEHVKguxKPaqukXyFiulvTn62jVT2DISxGA1S4uAgg8LXkgVHBIMYrxRoclQcVMAOTW+/taj1IXjTZFV9btdfvT2Wr8KfEZG5PWa16tZZaqJ4bQqWYRPDkhsheMOi6DXlPrG7xs9Eo+RuKzaQfOaDkgCUnzDlhSh1OeUAKBVkjiiG5QRQ3/YDHIWMugjIkUkUiru32Ci20v/25KoiqtWeC1tYHsSptK+5YpTiAgiY75LHZwi4Z5e9UKAKCEJXhj5Ga1UxkHyxY9bOxEX4f4rl/uc3tEFvvWRRHmXcoZqNzerLp7+nf/xwKXNGYBa8/W32EBaxYFG0xg26LuWNbMBn4jPNoKPyuQGGV9BiMzZHt3ir/eL+uJ5Fqif7ezhGlMSccYW3jY+Tn1/ez9d1R3ptduV0LIElRZVf19cJJRaPpATvTsz5aBVH9nNmDCzC5DaLoYkGAIsWCPmQMqeC5r6iZKqxhlTb6h8itXjENRDdV2M/6cEejbQ+KFVea+m772a0X+2evPWvGKczWCtMQqrD5PmeJ7P2p20H1sV8iragiLoy2R2r9mRlNvqkXf+7lz9SEpsQKUls/73YfAODsGb8+txlJyt5nL0JWbD2O7kM/d8bsknIBrCXA9p/d0zY+iTZTDRGQVaASUINyTMceUWjnr/kt92Nt/7rft0IFdn7E1MPlM+eiqv2ygHvXz41g8Wen1iLDXtuwCurKM9n1HkLd2VQFx9FVAbJgXRIuS4coisf1gLSD3G/Sgrs044fhFk+OVvt1RQbIUrT5460XNTT/7CP02rnS2boCja3jDJCt/9H2TdEm7si9vfN/5pM9VlABQqkIJnjEn9Vtg9urKTMHAYlM9C0hVyKRjthYYU8Cn7k/YBZGYMXishVTvYjuz89EoVwJmS0cbhOMOb2Ay/e0JNqKrJ7ctwKN7ITsfA0syddkcVO9vllB3fzMrrgVjLEQ1oq4kN7Lz6X9lDW08ZFVhYWRakhY0DYKU6qQhm9FRRUgQH8eg+7YOQLu2dcTBqQC9zcT/tnD32Apf4T3H2/JYBgqtAo0y5XWAQXPuI7RkEEfAQoA0lWzN+snVkG+JEiqiJ0gxIpxWJFiQa0Bz9OAvEag2nMbGEdUH/2ZtrgNNl87rBRgXa2lS4ICfWUMViKp+QUo1j4TivJ9wqaN0JDDStZAhelF2FxpKVz3kCkAJYWFN6mKsABARZwjZCX9PE5EWWvPnAYiqA7WuR3YGd6YpBGWMPL/s6lpxxntDGfexEIJqnL0EJi4l2HLr6SyUMWzPrTCW1g4Eqk7Vyz29dpx39QOJlKpuzjeEutsbMCR30uzC49tvf+NdeM+uzEguW7ey6sCJrgJ6A4rHm4u+JAD1kuE9auwB939XDBGQdBtH9Xrz9qz25p92PVrtOJR+sw59JnXH96Tu7BJWYWqWHWsQFSs95XUi86UCfMmEOSzdH3TulgCYAeICuqtIowZjy8j/vv5lxj7FW8OEw5pBYYTAODTesQpcwTF2K9YDxHz2x5loMx6ulDYpn/M7YD1A0ky715hFbf7atcQEGYAIwChkimFFLhZmkAOwEBhCOw9mhc6l75r6sTxsm7IqTnqOvZAUfTPxarDmX0hC1FP7SLy24Nttq3/RNYMjIIaoyGx1tsag41MsIC11KugXaqiho2201AoVx20wE1Uid5FBpYQWP8l2LNmohTyyuHXISCPpPSEzMPP+3VrH5HvB0MOhIdFlHa/atTuaAiHJyeiQF2Iyntg372wQZ8IoSvChVZFkkpFU1dPjQttqYyhORI/0GMSyFIRd1RB8cDS+yeHjkrUbuenhJISSlfZx2UjFKSI0aH5Jx+1HWzet+tz8LxHkG9oTuoSUGvCCSNKCbis9NJ9yPhiOGEIGVEUh7ji3Hc43fR4BLB2AzRtiVGjtu2SGzURKKpyMuDONrPORQGocmzrbo8hH8hNjVOGXBxW4VqpIUY/Q0VhgT0qnXIAtE/Q0EGgkHkXpAa0YMALLBJsH+2eyc9er7/enp0lenvU1JfZE7w9MuaJjM2/9XvQvXJy+wi77y4abUwaiuR96mHOpAqhQpR9VnrouPfnQqVevz5HxQHU2FGIJW0o4/BoMzmHgDhFlD7Y7Dyge5HGGKi7YHOj3oKHhR0MAAO1ehzg6uvy+4oJ/npOKNqZn7QANCmKQZU6SVPo9s+GzVxMC5rqqwvqxAXQLPCEf+kG/LY+oB8yHo7sqVlLhIjiIV7wtj/j5Tjg5WHAnPqNslVgviEClUXCdGbAxZ7YxLFw3e6QFjtbPBGIXH9NgloF9dhDbISZxsACrTEAdEyvaNfaUCI9dKwFiGzJAmztLeppM7pTgBpvlCikPaucGcwD1jPqqGsPHAYG+abmrY7YpnhVfGkCPMA2FqsVKCPfB7CkvPB9Im1cx47iPolZHedTU7NCjz0LWiuzpnLsW7+UJ0reG0ixL4EiXBdzChWQWzHp0DMgXSpiAOLENemeBJIjNJItsWd8tQRvl0jw2QajzWILkuCJFims0iXo8wn6/AIMA+R4wDaMHVhOA1k7VdiG8mZlUWUwwTNTloUF3zUG1FkRIJbMUh02RwaVACCrUJG8AEvqcO569KngEFcWb6zZ7MNyg3PuEEQR7xeUlFAfeyIt89bb7myIdGLCt96lFjS3BNf2YdOGiKAO30phNPbpcnRimEMTcGrimF73iwF12BVodmJ0slSEKRvib5oQB7aGpYn0fU+iAcZJqExwkSt0iMhjRGhFxu26KUrl+5OBPmykW/f9M9LHRN/rglA2xUKHaAKVsdmBptDaXsKuCFrh7ANByIVJTx9Q+5GqyM8bV1I7UsWjFa3cxzfKtc1w1yBcS6fiK5pCdYyBiRDENBMEw3tBvCTUIWIa+6vicpo24KeMZB3GiUWDmkg5lQKEmc+s3Fg//MqibjzNkMti188zd/96/9Md/m/yT3Caeq55VKSBP5/7hLwGaCJnWIOgHLTFKlLoy9teeOLZECaCC2GJACLybUH88oLjuOCff/1bPHQX/Fd/86d4+vEW8VBw/8efcJk7lP9wizhRAOvyLc+8OAnSRYAnoubDR6KjYRHkTyOWB0X40xeE44LHfxxx/gWnDHgs5QX72vHv8b2g+8tgVG9Ak9OQgekrwfyuYPgQ0Z3IUHr6k4DaKYZPgnRiUhhWIB+ZbOsUcfvXwOGngvk+YH4rm48ylLj0aAAH2w9ZwOMYUGB+y5woXgK6JxshdWGh7PlXAY9/0qN/BG6/L1iPgulLjlJNU0D3oljuAqY3zG1WEqAwfqg4/phx+TLh5Zf0nYcfFQ1w9BDBzkhN/HeaFGLX1T9yn5++tfGqDyzsje+pCl16Gx20AN1lGzmUj/z9ww/s07/8kurhy6nH7y4dQ4vB8gejqpeB1yWrIP4wIJ2oTA21mbsd+4njhQVGp/Afv7d4awDW+62YUab/REluWLeYsQzC6k5U6FjpyyIXm0lGIChhM6ugniBsaIQ7PERFTBV5TlifByw3Kw5dbhXRIIpL6fC0jlhrRJ8KhiHjdFsBCUiTQF1p7FwsuHGpdbSAECZoVI4VCIpyEVadfD5l3fHnG+rkAX9g0gbABXAQA0c4ZBu/k6031KrJ2rn6JlXzON+ywPt6c5+Qb5KpNJdddW5Hu4I2USmnIMKv4fUfAN5PWO3+VRjouGOWlb/LpFYQvHpqSFP1A8iS4n0wwyqU2DqRghpWjsaoQ0Iet0PIn7eIC7mAAdjEEUbYUUpD3iWnCEizomabWSjWEH+QNqMQijbom8UIHrrFZls2xUx7mBGALqGtexuLUZjk0qg3GmeYBVht8L33XXiQDwBGbavgOsCLVBVbP6OiqRu3StzM+6sxYhYqb35IR9x0C972FwRR9JZ9HtOKm37BvCYsSZuy835Uw74/eo9muzOupgKYD+xhTKDDrX6dlYlCGSiw1Wx7FzRcvfYoiVWW90UgTzJbQmsqyK13vSEGVD5/3fP7sz5Cs7mG3Nm1sYAlV0no1XV/JqG7okgbxdITkXYvllxp2BBjR+w2kaAAXUnZZkVa2jzXmCuR8D0C3frLbE8GaUEi0RBgeRZABbEz1XU7MFtF1msNjgYrPlsgYG8Rsz5ZMpORz6ypv+IUIBLhRRpNvB7t+MFVQ8sVXOlcCivaLdDdVejDurUzQBT1ErGGnrT8wwQBUKx/NknFbZxx30+4PcwoRVDGHpIFoXddBUFYKdSSzqQQz0PHopdVzFsfp2yBRwH3QliI6oihxGIIZevZd3GlbutTZOJVIbUwwbJnu+9dv0Kb/Fl6Uuz7MdF/BBMLbL6n1jYqq9700C4ihACV9Sq5ZatHaHtc1oIwmS127MNu7xkFGrxH1YINu86aAoJuFGTfC7IW6MBAHEURTFeiDLznsFbTOVDataO1CEyi60bvFwBwenYXgT5xj6+VQefC4D817RBbowCOLPEzem/OXqgQb4lxX+yzve0c9UJWKajnM+en3hzbZwAApgDpWKysNwXdYUUtAVnA3skmHgCiDhVWcDCkW12lFFeoR7ow+M53AXlNWEtAErLODnFFRMUH3OBs1OVhWDEVtosAsqkTu7utu7YhsLhVfTarXWZDjhLv3ZE3D8JLx8JAAoEHKqYWrq0ho7BxfT4j3dvGALCtIm/qxnshQZ2FysaeBHrh3AsipQDCIkm1IlWb8erxlJ0LDfX3Yv3jM/9+c4fyzT3328rv166jSrSjsBZjcoqDzb21uGUfrxDgUNr0wKA9TVwLZzb4GmgKqJbMM+4Bi1jma12ZXVb72/Z1zakhUSEzXuufSSmtpk1Te2B5IL1bVvp2T9Q0bDosq/kPqbWpXZc+bPZhxTQ5T1RW7jvgda/iS8JPctfMP8SKYSA7bE0VpQQsOSBPvK78lvu2e58Qz7RN74uMl9DWsfXBFhsbGBSHfsX/9va3+CY94r+WP0F4ScAx4x9+8SO+P93jh/UW8SKYv8zo3k3I7w8Yn+N2vhUKU6VJ0V0U+gE4lQD8k4L7w4Sfvg3I7yKW5w7piS1mHoN5rHP8W+DuNxnzQ8TpF/S5yQtTo0LeLsjTCAgBiPnbFeEm4zwO6J8437V7ZqwUZvr5w/uC428nhDxQATxsn8cCC5rQZiig4KRShKq6dsWbFblPkBIRZ47kggLLW8XyRUH9PmH8ZCNObyt0rA1cyiOw3vOMKwdSj/tTxfDDCdO7B8xvSZ8+/ERgr3TSWCFl2BJxqYCc0MbpARx5dPnKY2kFAoGHuJAunA8kE5WeRZvaM+HkfFz6LU1K9fBzYs/gUBGOmb3YJlypnaJE+sj4Qt8fXbvpAJSjqV6vLB76WKPxfUVcmYiv97BxbYoy7QrMf8frD05y0wWQZFRHBW8QQIts/MDYCansxamIPGy9LmE1py0dSp+AToGkKGvA0zRgKRF/nd7gmBY8LSMuucPTNODp+YiyRIRpUxb0+U+1Z3KXj1t1h9dI5xVnQXqKDOjENoJtYrWNQIpwsv6WgOhVSQF74O5uSNf0iqP150kM0NAxsMhbzx+Dw3pFCfOgOU6FSYHNKNVDDx0Y/GiQbbaho0Ku7GqJYrXB6VIq0aVcAawI2enOuweoCh/3BKPgMhE2OjOwBXt2vwyqQjtUfDZlOQQyV2uPkKmkyQTY1hq69bF0ERIDwmJO0xOcXaAecgXmwsrqIAj74Fxso2VpwX+6oI0v2GZs2eFbdbO/TgBEyJJan51UhU4mvmLjDKRufWbpOWyoigU0LZAGWkKgiVHHJq5iQeTv2Y+hwPoeAyoS5ir4FA+4dAlDyjimAbkGVBU8ryM+XUacJwv8izSaEytzW1CtYgGRzxiO0pTCNVmy26uNVhQEEyigPdgzSgEysmAjr6mtPo5mT/01EZt98uh93w2ljQJXUG+q3q3vtrY+ciIyAZRgtZKk2/xrUSzx4MT64qs0Jd6rAtCaW9LQ+jD990WaeJYC8ExOO2kJrXYbEqRio8GCQLyn1RNNWPBhn9v6IVXR5lC7fV8yCx2256rR6/oXFmpqb/RFQ3r3Qb+P+vBEBAqIB0CGgAXQ32Cf0HuLw2eS3e6TjQuKJuDWCYNnBBYjzcalCFtKLNriiAdBXIUsABvVrTOAwEOaI9IYkZcieC+3iKniMCzoU8FLHvBpPeJpGXGeO5QcWYwKluQvaEwa9mUCCtlyl+DBxhYsujhJNASu9sB8HxBHBi9xKg2dDLvCS+iuUdOtmFKbL/HRI0wSyJNUg8Zai4YXRhzZqqYmbzoK3j+LsvJcqCw0tp7aEChu2Hpvtz3k+6z1jVdp19mEc0Q2k3HqfhAiVI6GKljcMRZPTcH62ImA+e817ZDI35fWn7wb22Jr6H25rXWlKCQYypoVaaqWAASkE58daZtG2VRDc1Y0AcbPtQxxjJuQNrhef0+GAeHuDjL0fD47Xn//IULfClWRDX1XACjmnzqFRFM1L6TGUIgKDWENRaDOoLDEl34XpAO+JDziBv9z9w0O3Yrvjo84xBU/TTf4cDniNPW4vAzQS0LIGzrkauBpYmyw3vftOXcXKsIuD85e8YWw5xgVQW28yi0RmPGTNnXxNqt4MPbV7MhmhLoYphV92fvJ79X7gX/bbPv+yfQEVmqJaBBUE0OMFyLPrswvpVJNOSvSaW0Je5s7m6sVaZz1JkzY7o5kA/XuzDdtCD10xpja2C3cd7LR7714VYHuJcOV7JkcW4KcgJrSVSJcEwtpfn8qVBz24qoX8sOyJffOfHeKdpwroAFiUxC6F0Un2pIOUtL5Gd0LbBYzC6hxBpH2qtYHyTfPBxZgnT2iNoGg3I8IXWSSfZkhdWn3km8VsgjwsW+Fo9oBL3ekGKeuIMSKcLti6Sqkq7i5nZn4Pt8YM0EQqzYKLoBWSFnvFfVuBbJg+tsb/PYw4v8+/GN8d3ji8fLFjBgr/vzjF5iWDsvbgnwM1FT53QHpvI1m89ar5Y6K/WIFxpqA6WXAPCesTwNk5hlXDoYEZ7c7aXT09TYij9IKUP53/1GwlhFxEix3PC+69wn6KaF7YuJFUSz/PbYgXt4FqIzIoxU9MtAZOlx6acyK2tMPiRUFHKGUAoQf+xYP7vduvAjSp4h44delAsN7jtGUTNZdugDjJ86IPX/HmO7pVwnnL97g8o1g/rKgPgbTzGCii4Uj2PKRvmk/zcaT12Lsje7EeDrfKuqgWG+BKfteZ6xB7QvF+IEoOwBjTwEyBygSnMru/hOZDBIx/0YGgpDhFYD5rbS1CG0UqMXoYnlczxySquhE/uMsKNM16+73vf7gJLc7KcqB7yQVkCVsjhewk2P7ggbC8D4KxumegFFsntWcAgOt6QvF+oYDns9pxBQLVAV9yige/L8cUH4auHgXzn7SQOMoI51D7QTTGw5V31eJfeZd/4nV4fVWUQ9MfKPB4fkgkJ6ooFRg7ISaS7olT9VnCq4+Q1chy8qRPh3V/bCWRlUMwFbtV0XpOwYaRZFeFvj8OgSg3A78fasmqqohsco+EKAlINpF1GNHB7lkYFULmNB6TltAD0+ueTOSt2qmI0DVRwC4oIMdFOsxQZM0wYlyCFhuoiWR3UbRBjaEp0hLmMuBwg1xDoy1fJSQ9RdLUGAtDDy7gM7GEXhAqrGjIyzaxj30p8q+CnOOextME5Pl9SYhHwJiUIhXXJVBVDj5SKECLCDlwF7DR1gfMxq9XiOrSgyudRv2bmiALEapUS8iePBrP2YbnsyAAF0EdQk4VcHU9wgCHLoVS4lYS8C8dpinDnlK6G2+mI8TiguFN3ggE9WpiRV39cS2I0pSk6IcbB5qFNQYECcgLry4ajbgwmdS9Lo2bAUUKRU+RqchTWKBn9OQV7IRpAn37Oyui9wrS90SXCUigzWTcth3WzLrr1dq4i2R8FEhKbU+PDXlTJkWPtcYaRo+0sd7E19/ho2e0i6gzajcjXeBBUsagYyIsEuIQlGkTzOD/S5ue83z9L5jQDdTZM4LPNon5PsRtQsYPmX0kclrHj9fKGGSa9X9cZdc2fd8vJAYrU2wJUTM+MLP6N3HHzhbjyqvRktKQBawveNA9WOdjSaQgDxyjAsPWEH3KOgfYcJi2KrcnVHTzoIyCXIesXYVeAcAC56XAQGKx3nEPPWoc2QbauSa+8iksHJ/N1RPtuSi9DCqkyXBxrBgAZV7ZfqCYhfR1idOpTELZLI52SnYeDgfj2ZrLWbLIm2cloQANdVSFmaA1vtvBScBIDMFBOXpBJ1nyP0d6qHfCnwVpGoCTHBnqplICFs/eYpWON4ltE6DdyOrLM7UIWHrVTXWTq6oh8SWBLUWE4HN3yZ1/jUVWLK2hNpbT5ovLhWiBbWnUnCYM4JR4msfG+LsLCEP0vsn+of+2Qpyvdm5s4iAlljHeUPm9t93ZLdKgKhRp7Fdpww9wv2d9Skn6G5O7uEHwXQjKLeVzDO1zVPISsKoCH1BXUNTetVoWawlubKCKLEFb+2aOjIG8JRQl4C/Wd4iDQX1a8FdN+P9+QaPLyPWSwd56ijs4+irnZXdqaL/MKEeEs5fk+qdLpXimb8IWL4w+kSgTw2n2ALPCks6EwtD40euIXtQfS9Gnt1PC8KSodID3VYgC0tB+EgktfzqSyxvejhaGlZF/2GClEobi0Q88yEgXSriy8zEtU9W1KhIl0LbeDzTRmMEYqBfXlZg7HeFnEBl2y9vsbzpmPCf8pbkFrevAKfttsJq2OzDmXthLkgfKca0fnFEHiPFhTqLc5wR1fqfYWJ+Fd1zhsaAxcZAxlWhq1rcYUwF1zZxE1gL4jlDasR6SxXb4bkgzBVljGSgJcF64j4LC32lzw/tLhzr5Ki5doFxyx3XN11o6/nAQlzpA+Shx/BhRvz4BF034anyZsXwMpIimxlj1x6YvuhQB0V+t2BIFW8eTnhzmNCFgttuxss64N/+eIC+2OgXn6d6UPMlZvdfTvjnv/ot/s3ffIfD//eImiL+5/gd/vL+LW7GBX/07Qf8+HyLD799AKJi/OoCEcX653cYf6Sv9NpTtfCr3rrP576oA6Afe+TAmb9xFqz3FeWuoAYir5LF2tV4ffO9tJnXTS+iADd/q5C/VsxvBJev7Wu/lTbrOJStSFpdZyUBl68FyxubjztRCfnwngWX6YuEbDGCF1d9tM78loJa/YeI8SdpiSSTNr5/d7JzcYIVUoDj98YMTMB6I7j9VPDwP31CfnNAGQ9Y7wTPf1pR7zPiUHAYF5y7G5RfEyXuXsgUnd4GrLeOusJiZ6BEikwtDxToOn6vCIPg8i2gY8HyVlBGwfBRcPs3FXFWdM+Z4rhLxSEKLl8mnL8juhwvAl0D/WnP0VMpFdQlMidbpVGow8ycq4zA5Wt+LZ2kTeRZj3LFQiwDdswd+rR0Aur8marnZ15/eE+uURY0M4gIswWEvbaDUp36shc12R0K+6Ztl7r2nt2wspcXCCgXVplfoiKlhFIo771OnPklq7QDw+d+sq9AGXOsejVL1CsFjcbZMQHX3nZFBVDdCRqaYjRYl8B/rQrbRFG8v8qRv6xGiXVp7S3YB7ChpgBc0Mipcw2pckqtV9WdYux9WX54eMKbAgRpQ3pdgOrqAYpRej4DNdoz8Yoh5zHaz1kSJVWtD25fyPDF1Q3pCHzQLeAruhWhX1+Tfz1KQ0/36takvVH1zZHlltgKoNiCHX85xafaPDNRNvc3evVrdLBsFDHAEopl54jddsx+mnhIALaqjbRkWI3pIDtbb0GkUeg5akdQEmeKPncDpi5hXSNKjihrgE4RMtOxxwVtdAMFDzwZ4kK05n3IZuedUY+iXWdDQ3cJ+NX/+wbFFlC3e7tOkFynf09daxTGhrrJ9jtNxArb2jvV0JVk93TjZtdxQwr23w9ydT3XNikQtSTEEtzGjLDA2fdUS5wDGlthPxtSWxFAmhgSgqPShv446rsvNlY0JMjFi5qw1+4efWSAWqHICwl71EYUrQe+jbAxm+SeVmjxvWu/vzCZZwHgOjDzV1wUNetVW4daglgV0AMoXGLjV6haLPBxGI64NWTEzSXzIG806wIiDBowvfRYl4R5TXjqB5wuA8o50c4XRzbQRpQ4ddBFxnxf+Z8acDXCYAvswWTCAyv3obrZ7M9tuu7aDsJmo/ufseKNt2FQZEUaktkozVYEkr7jsecFxxCINgJtZrP4PjA69dVn+T76DAUfPhJoPyrLg/7ohRBpSXu7tiboY3Yv0nq4gtKm9kdnuwSnefs+SaExF9qPejFXBJIMqTaKujO/MoAYQ6PeArgq6lQvIrU9aPdhNN+aBNHpqilAxPQqdj5xj9bFRZHOAk0R5SgEgb0AZ8wz9bEv+2W25Yf4Htx93dbFr53CMIJyichF8PF8wNwnJrgvvY0y2eIePxd8soP7JxeS0sgJAlKA+BJQe4XeMtllTzOwVQAs5mr7QoHPmEu7LW9lUiJ3XNutfagJD+Xaimdotl0h2USx6sZcaeeRYotBUuS+9f7ysSebIe3o9r6ULuxmQIALRW0CgtgozwDKGLfz1c8gt28bq1ajU92vfZ8G2HhCa78oNiXBipxxvu5TZgF0i91UAOlZUHVUWr0AYqzAUBSamSBdtZ34M6r02VLcDymBhi5sAj92JrV7bz7MHn3XQVxcA4DMsU0L0QhkY3H5NBRUQckBl7lHLmz7W8eItUSg4xzneAGSiVyWYefXKxBtJm/XZ7ILBMASMJ17qApKFayrbegcMD0OQBEcngT984ZstzzAfHPtFIhAMEaR5O18K4N9TmFyG6xlRhNQQJrtvp3McxTmA6aCPWlTS3Zks7Xm2dngc6u9CKLXJtP2QOmkjUXqn+zrnlibPXJsDu+B00BgI48UMTMcC2WLKWsnTbA3ZCCPAec/ukc+hqbxEiaBSkJZAi5rgKyC5YF+O5RAzQoArteSb2i4e+Tc/VcZrSh2FkhJlnNZkn1k4TNNAVj1Z3tHbK1UBdWS+zpHzEsEJhYl+HyY6La4QoDa2/4UOw/M/+/p4LUX7osKpIm9zP2z/idMcguFErzqImtAHRTzl5WjL3w9Kke9cDfz3x54bw98c/ZxpSGniyU6QVGfiZzMtwlTVEPKBKlYn8kq6F4YEMWJ4kP9C6uIrrKqgQZZTbzIxwnNXxToWJFuV3R9xnTusZ4T6ktAugREpaR/d2Z1L70sn1+PtQBFKbbw1S32ggRhXpmQjmkTNDgktGTZqMM1RKAGiDkQd8oxV451AND6VqaZ77kLvMKF6FEdu62SvhaONRqtgr8Q2ay9Ve8BxHWrdLPXhD0j612H9S4izhXD+wXsifH1C1ulrAVMNOBQhIeeO5EqrLT55xdSVvNNQlgC4svcEktKlCeUg9HiFl5bOSSUPqB7Lhh/nKExIB+tojmENj/2qp9LgDxEQ2GlUSBiT5S6/+RCE8GaDwp0WaA72s/wqUJVSTUapVFrykHZr+j0E9GtD72rLRnivGYrvqy0JWAnShUtiOmAckqoSbG+3GCJijgFSrivRs3OpD+FFehfjPq3bHvNEd04SjsQvZCz3lfSSaJn3Lu1CjAVWw90sSVpDQH0BD4Au3ErLMBkC9qxBUc7hoH/nieUVzNx9/RGD5yBa3RXtY1I0TVDzqv96i7xMOS3JSuuttwlznLrKCpWU0A5pKuDiEFVJR3TFEGdkuzPx21HAwwJYGUxWnU/TZb81Y4Ca45iNRog2LvvlNLIk0xW3YLGtSIYQ0TngDiFVrHnIbkpmWogDTdkNWq62SYCgNoOJMnsqRQPNPvOigzXxa3uXJFvYCqf5t9t9mNNpJLFxP5LLTx84pm9jbRN2rlTxPyg6h9pB+uNMQ/gh61AfqRA0jqOmK3/eFjMnz8xIRmeFelMimCcNn0CjaQWVq/8FwsovlgR+gJdA7QEFEv8mCyL+SejcXoPnggw9Jv9OgOhFGifUA/dVlAzZLwVdkoBCt8TkShq6TiaheONBOWWiWw0zQbYY9JDh9XGqDmlWUuHJhImr4Jyu2/RV0UggMia05R3CSsE1l9ItlBcKlz4BwB0sL7f6AGWKdICCIlBtLc+SKG9h1VJe43epwxoSC0xcwRX5hUyr8AaeX97/2D3G29HrHfs3XQ792SlJkE9XDMVtsRdLIrhNUiyJLcq0mxMnGrZ465o2Z0V6W8U9UdguY+Y3zKRKDeVwf8qqDm1M0Rc4dyuwVWLw5ZPXL1c+RxZkF44YvFjfsDHriK973B4tjaSQbdE12jKca7QACz3nSV+QFClomgfkC6Kh38vmN8GnP5RIeLcU+9E0pZcB6NeNv2Rqwu0dTEGTjkknvFTQLdWoAuod4fmt9KJ/abBR165lsBKujPgMQCMSZaaLaNWuGZCvR235wY7z4eIOBekl5XUfIA28TJjcPFHiy2qxU0swmlDXMsQMH3RQSNHisWFFGn3FeWWtrXecWzJVXJo77fcs72NAIkinXlmhaVieE9mzvowIt+Qtp2PFGGqxvopYzTGge23ZG14XkjPiojSqJvOdsvHeKXwHBbl+EkBlodk/c+W5JneA8+asj1XY4/Uh1vU0gG/5ZeH30V0Stbk/A6Yv8kGoJhhrwHr0iPPAesl4Hms+PB2QYiK/n4G7oH1xwPCGgkAfcnvZdMnuTssOOUe727PePpnBfPcQX44IDyOmA49Lt0Rrl4u54D7f5PQP6uN6ymY3yRcvuR+b0n8rRojR6GJk0DShT4731PgSKaA9Bwt1qc9r3dAjYrxA+NM9rcLfAyO+yyn8/YvjBdP3xnLaOY6UQFZMZwr3vwF447nX3VYHuQqrvSzdn4rWO6Bu79S3P+HGfkm4vR1QgZBvxiCoedMrMf3jOHSRU3duSKdK9bbgOkNr2l+y/N2/Ins1tMvBD/+H4Ih1qQL3/41+3rzMWG9TSgHxfOfcTSU/k8Bxx+5H7sXYL0BTv+gsNUoMx7tHgOGj7T583dUAL/9K67D9AUFrsoIvPxKrGc8kU2VnU1pvrEY8zYwIS0xID5H9E9iI5b4c/nI7/ue0CAo99yf6SUgWF+6Wvurg0OLsYSHj4rhiSyX8ccZZWmCDn/n6w9OctGcPRO0kJmU+fdaUtsKjF6y2f4C0BDchh5yT7P6srB6ReqbUTgiDcj586EI6UOLUTft731PZpgpJhCM710dTQswHnlFTAUxVoRUUZL1BbbqrG5V6UaPsRt4fYh4b0jFFuC+Wjcyn2SrtJbr719X8LEhX5bgwoKtq5f1jWkLoLckgFLf9sGZwmDsaQoIUa+Qir2QCiX4GURu/ZesNAVsFbb9fdmlWAK89UZcLYH31YVdEOdJkjltR4Ub0mq5WbBxSxoDQkeHWwY0BFLsGv3aamdOyW3Rg/D9EotATGDr9cuRtbob9v17X0Zpu/qn7LZDRVMyDtZroFWaaicA9h/boRannfOd7AC2v2Oj2ez2VAUkePCkADZK5xXS7D+v11/ytfi7b1Hws58wO1cEU/byCHF7tg3VL7qp/e4/M4APxrX5/ft7JDeygrv/3Ct0bZ/0hldfc3ryvqJffR8xQPZ1b4JTuwS3RmnJrVfXie4Lb9mRpY5o0h5paEax9x0BYL/fDp1oBQCF09kYwPP3HM108ZkrVFFsPzkdKipbDl77id/z8gR1z6zxokSQa7tu1ffdeKPmx3dungJVvm+5F5HBsVtKpNbpxPvkOpjQnAedzqCR1763rZntHxUgKPdW5IYglXirQu8LG1f7PV5btbjiehdb8OptI59dPyUa09anIa6bj6tdaAJOUBfIMb9a7LjZ2fAVy8f3gZ0r1x8urfDR/LRsVHv3h84k2P+eNruRdp8exFTzv9Vo5yLakCHaGLbzSi1xKsot/IqJwf57Z04o+5GNhhpWjh5rdOmWYKIJ32xJ7vacvGDh/Zfi59FrtH23Xp5Qioop8gsKtLEt+GGff8btPXZ+fI/gAkCwFhFvy9IoiCf2zKWz2JxO/5ndnz3CJ9gxAaQ9S147/YL3AkM2Nf8Gueur92trgQ0FFH/m7vN9b+18Eix+8p516/d2VoiHdC6AqIJN3G5/VgZt1Hm3UWqkbP5cXp0ZV0w5//rnzibr5a4Wg1LnxbLuAFSb2d6YVUp/1dhYAZtehX1OTSzmixXrm+im+bdqyacXg1QD6v6G/dn5nvN1tL/FWHHSb4wDf9XelI676xFHfgYFgPQHS9RhgqhE/zcmhWS0c0aTQsayna0K6BSBYsnYRYAakIeE2in6mwVdV7C4Uq9YXCGK0NW2nVZC4Dj2K1QFq6GFYaGKPayVi7opiu7MQk6bVKLbM2jPJ+16zr1YKtgEjvJm45uOD9qZuBeXvYrXzM9BmR+4D/O+WT9L1PZ102wo3XWsaAldsxsD69Jp3bGglHN53Ve6uNyqW3FM7OfWCqnhinFH9p+03AoPK6eOXDrb/4r+ZDGRs1g6amaUPjZApyHkI4FHXY2hIrbvejuTlWJU/Yl9/6IguGh+rHSbj/K18mlajkJLpg8OphTvBQPatJ0/Fe0s8mfYNJD8LNm/zJ83RH7hetVc8fd5/b2T3HmeMc9z+/fTE3H50hOw9eDFjVUqq/z7C3ZhJ/UHW7yyvt2oP/w2vHkG+p2ghIsH+I1r4Gd7MNQ/1/Ye7jDzMZroAXnVkhOdiEQifwWQhdW4JXTIa0It0tA5P4B8wTna5jpRCAvHFHklXXJFepztXqzy2bFa33odW5AFyvTnahvVxvwYshqNbi0Kjr1YC+Q8M0A6jjyQukhKcSmQaW2HDIewF4oSNKEdUD0UYGVzDJAaIaW3DceDar2NG9IYBJL48wCw3Abkw1ZUcEfR+hJELCCVVvmniAC9liZBqV6wABOOjmp5dexsHS1JsYBfSkV60e1rftg6gmXXyc8F6gDMd5vjgDj1US2ANker9oyGiJI71KVCQkLJW9UhLhU1A2LgpSsbd8+kcpdBm327TbR7b9RiXIlkiJJ+AUWjEUsF+k+8Vg43F0MJN+cSMiuhku2wcAq5U20ZJfP7y7anpAJhsl7Sjj8b1o0F4ShzaH3PgloDA7b9yClV0ttzwWuK8LYnXiWeFUBgUKlVaY/T2mwXMNERE45AKzbY3yHA6cmOjMLGvVwl0Y7gvkpq2/eTUZZ3FOSmOO7BMbBRfMYtiAFgDBBc+TUf6UEb3GZZih3UoQ+QtTaV1GAKoeooSwjQwVGDa2iI7BOjA9Zd8GKJTsiuNB5MWGw7eCGyQ5o8iVagVtS8oCqr1FmvWSmhkFIHoSAZD1373CVgvXSkWi7B6GJm10aL837ZOCuGR95rHsnCSWdTdWznAPeA1N2cyMy5fVQ+NbTGkHJZOc4Egail201YnYLKz14/9FiHCoyFAhiW1IZsAnWX3XtWt+lNe0Cj02kzZKHKceiNBTNloq0xmh0FFkfs9/didi0SNJEfAAgXGx/kNloroquQX9ZWwNQUSevcjU9BqZA5Q3Q1mrAVbfrUklQPrJm4Bqz3CTVuRd/Sh02ozH629KEFakxoBevBzsDqScMWrO/3jrfotD+unLtksppihN4ddkZtybtvIxOxi1Pm+63MVBs6rERmaye0Iwv09wFmPQfz64p42aYVVM2otQBZkXfMnLAq1kGw3pICzKBXIJ+sz/6hQsdCO18ZFGvivM1ksUo6UZOkRrJ7pNLew6qY3wQsd/Sp6axAALqX6z2QD3xIIROliAv3T+kD4kQGGn1QBAJRDA2C5TZguef9p/eJ8cSxUuxlCVR4Nj0IKVRXlkNoiX+6VHSfsq1pALqAuFbIY0acC+J5xb4ggJX2Cx8pKEQrNQrWw8DruBR0nybs9T6an/bCSQVHEYlAR4rUxKmQCmyIPwAKbYqgHileGXLleEO3nUaNFxT7fzLF+O3Scw3DwPFJEDQ1aFedrZ0L2niR0vyDE+UsYeIs14j15sjz+lIZC0TTQdglTWGtrcedehSV5wqw+ZkKiLVtORWaMUi1lgr68vUmtDmr+4QgTorR7C8fedaMP1wgP33iyMbbHuuOrlwOinrHc6jcVEis7FQJLCiVxw7pJbS9HWdB+B3HFq13EUtfEU+R+2MC8DcjNCrKDROms3D04XTpoR85okj7inUAwiWwVzMKdGFCdf6OSr5UMVbko40e7YD1ljFUtWQsfUzoPwbkG8X6RzNSVzDEymc8ZNSHiPzjgLu/tORn5fq5OnPpTXi242fyPKU/C6blUk3DQYO33RG91DdEj6X0CIVjdMrI/SlWoHr849jihe6ZfjPfdvStsLPmZNeVYAUuNGHc+SsCResxor+hJkE+UOGaZwb9VJp5ruFjT2qzjfHTiOaj6WeA/gePidiXnI8UmMpHFgckKOrSQVZrM/I4xosJ0fZD4JrEi2B8QaOD54NgeKwYPi6Q2sPHvqWZNrbehja2s0be//1vOCZ1vWM+Mb0LmN/yMw9/2TW0OayK9U6QR7RC3l4lXiMw3wnykJCPR+Q1AP89/qOvv3eS+6//9b/Gv/pX/+pnX2+9hp7ZC9A4IAD25Q91ikQA+/MsSGvV/33VxQ5p7zdsaJNuP+8qdXGy6tCq6F7oMCkKY06spxMi9YxzzESBcDQoz4KfGgW6RJRiH7ajc26jIvxwv65ytntMAWVMSOeVs8uCcO6gH9pxF3R7kFHRZspJFCYDZUsoIKTGaQoUjLjqZ01t9EntqdAWXiYmpcVkKosyONqJhyDx7zIE5MHKdOAmdi7/erRE1voZSHllclAGU2ZTNZVftJmUpbeDxFDPuPBnpCodigXBwA41EGWwaNVeFiFwhYBynXJbZ40Brq55VRmytaUgj32WPSLSWJh0x3mrJMKKC3/x4b/BX/zwX/3MzluVz5AtzxnivKGkzXTdTu3+98ktbdeSYXNiTtsEvGBD1VYiGvrK/mB2njeRs1KxHy3ShGaKUumvup2CSQlgY6HUUDinkGBbjxbMoqFATFB3s2wdUXqFfu1fW1+Wqb/6tilKYbYUgX4XZewomrwJ7BbWvuYjeEw5WfzfgUlte3l18xXK66iFo/pU6bT9H82mLU6gurD5D93QLK/ANpq3CIIoShUEOzAZ3wSoCXdppkATL3aHapk/EQUTg929OuLV0NEdDXX/nFxB29kJGgTVGonECgz8QQBV8Ren/w5/fvnvPvvMNmVwq0QDQIfWB4U1AFkaNZl2s2sTgBULKtCdCry4VQKLPa9HergierG1jitVRanSXLezxNZc1nI1z5ho+SasEmbvLQooXYUkG2dn/cM+B1E+h4Z6L58XKooVc8pGO8ey8uuHAB/HVm2+5p6arq4jIEaPzNXOSp9JS38nAIs7Fe2922zcELYCkynLNvVxJAYZO2SN92D/sbMqD/THoYB92mYrAJNXla04Et32xYqWlsQyCQTHzflSeSJtibWr8nr7jVORtees0/2c5nYGVvbKOzUcmW05tPHEGaeZ+0Ra3/CW3LbCiPef2zN1G/vzp/8Wf/70//6MjXOEWjnw/YiGAWmxNbvb7xlHNdB6gP1c687KET1WIOifK+KloKaOPW4zW0pUYIw0tKKlCjg1wNpXiCyjIehhZhExdAFawZYaWI9cTx+QzoK6AssBnJOisSW4wYNDE6Fy4IAF1wJYu5LPro9rtpGCNP7tGQGC2nrX1alSFj/U3npWLwuf0U4NmYvNa+VcZyZZohEKsYkT9nWj+mpPe+YcXDvL/ME528DFAtnZZfoggMiWrDRk0L7v/l7FCoNHNHsSZa+fJyAN3Y2guN7AhPZQgXjJbElIu5jDb7VoA0cgaAXoFsvZOYIYUHdFKamKasy72gmWO2lMoSsGg4qp7cPskMX/v/j+v8afn/7bn9l57QA9UmQSHRNECMdz1ipQm+3s9xGM6s6CCJ9tWP1eTBwo8tqqVJQlYEaP+tJh/CmiJsXyTYYMAA4eawABAABJREFUBZh6oqwVPPsBrHdcAwqpmRDTwcbSPGQgKdv0BJCaMHzi87y9v+B+nHFZE3KJCL0ihIoPTx3SFBBnZQtSL4Yg2ohF8F7Wm90+V95LOqOpIjfmSjDAwXzfcsdzpYwbiCcKlCRY3jCx6x+pyiwKm2sv7XOizT8WV1he0dgi+cj+YldWrx0T3EYDVrS4LCwUd/J4ksip7IQVFXERdM/SbK8MXN868J5CspxGeV5v+dpmX3vbB2B9xoxXs/nKkBXxtCANEd0N2xXTubIXeAlXbC4piv7TijCtiMuAMkTMD4J8w/sZP4JtXTsGWe2oEO+5YVj4deYrYCGkCyjLLtb7O15/7yT3X/7Lf4l/8S/+Rfv309MTfvWrX6E7AThsBtCCe2tc1kOBdBW6BiAHyEIuuBtZvAYRiJJ4QuPwtFGRWkO4yfYH703MlLf2IIOVgQzvwXVnTQQ1tgQ4ZB5SXNjAOVG3HAwtKxc5XgTxwqDIlWyBbbxE661QbZ8XPKFUf9LmlLuAaihtsKqolF0Qt6+AAlsf4y4QC2vBnuIpJpAUsiny7VSQqVhrAXGXgFqRnmYgMBFHYmXSK2A12R4wq4h26BaTG5e8ZXetIpoExagVdd9fukNPXZERMCqaovVGeL9OKJU9mf79eeu7k2oUqChU4l0z9G5EPXD2YprYg0oFN1Z4/aBjsGqIsW3U0gt7NSr7E0Kg3SQF/vTt/xF/cvhnwGXGWmb8P3/6v/J+rcq2Hm2jBVCleGSyqJ1egWWy0tk2Wm1zGvqzRNlFhPZJgq9/OxTd4Xkf0rwFIz5LWSx7DVXhNF3JAd25on8KVpSwCrgJ8zT0dnV0Cw3Z5rxh3fo/qwI2c9VR0v29MdEWtJFA2CU03mvlCC/QVIaxK75IMOR2h6JvCTXFP3T/9d2Lc45rQ8C8r7LR5Mzu8w0r1Q0VsgA/WGIHYTXRE1/A7FmkjV9yCjOARiX3Z+n7I9iBQHVytSKbtutu7QFAo669vmcJwQIE9pjt++HqSBZGGUjFa30s9ohCEQBEZTmeKCCmAMSAPzn+F/jj4z8HYkSuS7Nz32veR19GJhT51oIGL4ysAWGyQ9dn5RZATK3emTXrMTQqcdz1jfOzsPk+s/fWN+UKpjZCzF9hrdteWivUDneABadkYh3s7RSsa4cyJCRjKki25xis19NYNaH6oePVK7vQwwAMHdHIKKwOHQeex84K2AucOUrZqMZAiS6Io0R4vejic5k9cce2N/gcFFgz50d7Apt4hrXPd5TXRla5bWgXUDrOAlXrsy9eqNgHNQAT2oRWKGwiXWaqxRKqNvpvAfRiz1utx3dmb2RABZyh09EYm51HsJUhYOc7dJt4sGSeAalrBUxNhtQvtTF2akIrXu4D1NJL21daFSgVf3r8L/C/Ofwz7um64P/xu/8LAAsou92eMTohZ0qaP1cBokIHzskN8zbuxFHBPG4Jt7+v5NCo+a5XAaC1TnlMgzNaHDM8kpnjhflo42m0AvGcm06ApoC4Mu7haEPGW+ESSG6aNwTXH3BcFWmuyGNA6UiBLYfUNAOwaLNjjglyphmvtyZ+rgtfsngcmYCv1T6vQseOyenRes/PC4s5ZgvqqKTZHIDGPkAKqGNqDDaZC6IIQmEBRLu4tWb4uVkp5pM7L3b7+/HReZLjVOr9y0ee7cXDNAEl0Ud4ErHcwxgl23u4kn261JaUeoFJvSBqya406j/PSxcgVWFCBFhROytCF1Ab7x0/f7mdG/swzaYG3Cf8yXf/Jf6zw/8J+W5ArjP+X//N/xkA0D3xczkDNaCaGnd5IuqK+4LyJqMhCWtAOEX4+EOfKJFvFGEGxg/cf7MA6CqwBJQ5QrJgecNYNj5FQJMlm4J1VNSvFugSMHyfyGybuD80AMFQ+PA7ovsuXti9CKA8R14eD5jnDikVhKCYl4SSI8LkoyztjFnVtCMI0CwPsAQdFudzDeMJOHyoVrQOW+wagDTzetIFGJ4Yl03vpKG9+SiGUm7gznpr588UsR4E01tpEy38PGXiyR5e1zzxntXhUZFNVI7MMdpxGYHLF/SZw0dprT8AsNybvVnc2L4XgPkNKOrkfj4CdeGHyhLsuWpDjv0sdpZMnLn+NbEnVwpVoMOqmN5GlOEWy23A/EDx1jTGxn7Yzy0uo+DyzYCw9lhuWYRY7gW1496ZIK1ADgDLG0W+L0ifIoZPVkQ3P+R+zeMJp5T/x15/7yR3GAYMw/Czr3enylE9XuWoFugsVOOsd4rhuGJdEsoMYInoP27VFj8E3PlROEhZGXGBi0zDLdab4Bl+OlNYgNUNBj+Nb/+yIJxnIIYWDKwPQxMJ4KIp+ueKNAnSzAN0ekfpbKciuaS8V3Kd4uJo2db3mDb0dRfI8mGLVVNZ8Q9L5eGiYLLrlB4Tx4KLl3QWHFiSE0xA6iqRXbOtSWFiEAPRXZijBWlx2gXIkhGeLxxr1N9BVZAuGahAOUTkw4aMAtbbPAP1gRvbKZwAD4nqwYkHld4Ta4dQMRpnFKCaqj0VHAGZrQ/BaJwqaPfL/qzdGgpHHiAw6JPLDNyMyIfE5PSU4fOHVQTrQ9/om77hPBDJjjKfgbgEHlwzIELEIM4FOlXo0wVhP29uDFiPgnzr72VIwNuVtFRTluVN0quFNTTkoxVofGMGXCVr0WegituwIk670QgikFxJK1srwmVtAQQ8MbSfbUF0VUgKpMkFQekpLqA70TV/xXkTQuBzAmC9IpvYFOnAVYAQZUO2rDKp1rcYJqNj2r3tac6NlRCF82L3FFGjXooVP5qNtySX3u1n5/8ukfYkQjsqXW4IMvdeOXCsQ43SqPi1Z0DUnY1+aLQcL5I4VaYNVx/5PPOBhYL+yWjBgvZQaSNW4TVUS+Zy3XPms0yLtnFhG1rt/W30DeI/A1B8JQa7BlaOSW3focxRTVNKoJM2n+UKv0EiQhogXQfZGcJeebF2xpYZFPmubkwcC+DTZAesMxQMSe3Oiv6FlL582ALCuMKSCkNddv12rmAaltr8eZvD2nrhdmsHNOQvuN8UOp80cwRc7QTzJG1eYlOT3AeLNZiNGFpu0rYaQhOQorq7KbAnQemv+7M8gWVPv9mriz4F2lo7o5yxIuyfq4dEH5h3Gb/fn+suLCt9+GGAU6NdNVu7CFRFPC+2v5gg1hjanPK92J63RFAIaEt6N5q7tK83ZMx+z7/uBcJapCns91IhVaBqfZqBReWm+gpAINa/u0NyEVmYmzJRbE0UTLTzoCZBNHEhGSKD0n5TA70Kziw+SN5CUStkKYgpQWK8KkZUQ4CZeBlDo1eUd5kK0D4NIlVIB44Rmhj4tyJQD6xHtydu/poEwRKdaAhENbYb4xY1ZhQLA93Z4pCPC0KuKAMZWcHGfgVVYLHi1l2P3DEB7p8D8sDPLT0R3VID0iQ7lgLgvYfxUhslnYF6pDDTeYHMBXroUIYI7SPHSak29fYymF9+3Y+qQP+YSW8OgnroUIeI5Y69DUOuiHmhPVqiXEa+d5qY1DvbQDsit5Ir+vfF2r8KcGEhqNx0jUXX9l1R1Ehqr9urGRq89aQEtP7APSOqjWUrfE4qVJ/1cyAY3XW9YU/18FTRnUgpzkeO8uleMjRwLZ0K3qZgVLWwTtuZriIItVocZfEdAHnJCHOGDFs7yu97kTLq/letRS4ivHuAdAGxj9CdCvT4UQEb/zO/BZaRM2r792aU/+QFf/LVewSrzr4sA77/dId1TsAPA9JZkG9IT06fIroXm84QOGJLpx7pOfAsfLtCl4DDbzrEC+C9tPNQ8Q+++4APpyP01w8YPm0xtRfYCEyJCYnBRvnws+ICyIceyyGh3i/ohxXL1EHPCd3FVIgTn7NWm8neC9YbYH7HQsD4OybW6x2RzbAojj8sbN3oO+RRUA6kuncvTDrjohg+Umgt5GAoLxFYKaQoQ7iuefSxoxzZs7zl9TdbrYBUQe0V6x0aShuyoHtRjB8y8iFgKYHtBVUsDqHYYzoDhx9ZHKlOwf5akR8KAbmFiPz4nvH18kWBvFlQTwnhEnl2z0Y7n5k81gTojbbY1NmPGq1ouQKXrwSXP14gc0T8Cyp1T+8CLl8GxgYGfqXLZp+S6Rs08vpP37A4uN4woV7vOIu3Dop8vN6z8rDg9nbGS71F/HXc2mDFBD5nbXtbX/fr/57XHyw85dXMfKSzzUeFdmhBkQRFXiN7XO1mNIG0qSrY4HO7eAthqwEx3HvS+nidBkDD2Ub5NBTNKmeIYoEgERwPFANqo18q0JymFJBGY4dDKFsy7c7eX6QP2PV6Bc8QSPZ1mbEcegY51l/ahA9aMEuKhfdwAfy9Nvag9YeFllxuCUew5KFuSYAnN3s0AdiCCp+36KMamtAIrmYjeg9iW29go1n4v42G4dSfxuX3wAm2sXdVZQZaMGSXf5AC6i6RAywY9wJArmAvp/1Miq0Xsw1jD9J6X7aeVGyM85Y82rW1Db0llJv4l52UXcdD1nt0zMG5GjdnMFekY0ZMpfVxaxFSD18FwUSr0WhqTmmiCIb8XOuqJbtW9S/WP7wbd7TREz0J9F9WW7NIs8gVHG5vQ7iNFtaEGXSjce9HNfEzLDiFUclcbdh/pipHssj2/w2Rb2/C69mL0GiMpJx6MmuJ8u99Cfczf7Zudg601gHzHBtaADQUqTq9fRe8t4dU23Zse+DqOcSd7WB7hqGQEtzEpyqrvaTFqvkXpxfT1tWDHF8XT+A8OdoXxyzB94JBE+YKG4J4hYbugjvfByFsh8LrJPFzr5oY2C33Wy9PHRS4yQixQguR5ZoFxWi/YZXNX5bNh3qB0D+zWpLcaMJy/XNNWMrUjp2G3sYseeLiCqbWN+uIbkgBMtAu3G9TeVNakSLY2K2m5O/rCvPhhoxe0X8BPr9dwtbW0Q7bKyEqLzBlcH68FVt+9tLtXpFrY+g04ah2vzt7t+fIdeXPswAbtnu4sqHtb1G9SgQawrC/pL0fN/aU+y4i+dhYOgqIUW9be4PZ3V6W7veJdAG4ep7Sd614DAXRLbtWT3h9HzoC68iPi63x87wgZj6jiSBtF5KtWJUP2taiDjuxnZkjCqH0z/BYRD1g3f7siwLVEWWLV5xai7rN4XRmBzwxU6AOPrfbYiEluqrArsXB6PshICTlra1coOisitkKOfbMws6fU1V7X2iVxhYrQ2zorBclw8LYgmwRbwfYzh6BMeUcZYXFL7tkuIEBVghyQT1ZqSVRU6B+SFZELQ0B1bRjAAT2t4qfP7Khttjb8H5v6s7uhHEq7X8LwDcbtO2VtyPIbW0vBtZixfZvoxsXsy310Wtuh9gKz22D2HP1GEuV91SsWNldx4mtiPPqDPKCuYvwIJOKLNY24a/lXhAOZt8dgJ7K3esD32gIivPaI9eAooJ5Tagl0Objdq7JHKxf3IpDfUXXF6xK9kCqQCkdgh/n3bb+8Rzw19+/hU4RR2GBKl6UsWG2JLbsQK8IlLgViqUCwwdDAWuPfGBhDJFn0/IQ2FZj/sDFjly/Z4/W+9qx5S5usa4SAHCWoRdg8zG29+yexTRo+DPpDHjBJ2Rhr/2iwElQPqLRup32TrRZkNbt+Unh9xfrV80DbTqabkz2fEYYO+8LkkRuxdri7AxzX7QI6iUxJjFNijCx95pza4nO55FKzd1JGgpceqAcpM2cD0+Jc+Unnp+bKJjnCWgAmFhrI212z6Ql2xYX+o4GNgZjaZqtlEvCJQCyBmPm8BwNik340D6vlv2G//2vPzjJXe8EyzvBeqfINxV6lxH7ijd3Z8Sg+PDpBvmlQ6NDBGb3NQExMkCKC6s3dFh0/mXkw61GBXShIK7q5ohdpKLNrrRqLkVJ0L4HgBVHAPWQyN930Q6xAr5Yb5dtOK+UOc2u9ERP4lTRPy5s9LdNUKPQyVSBKIek59ueid2B42taf2IBVIohOfxamKkuWbuA0nP0RHqceMjcj6gpAigb+uHCPMvaEFzOnrOkfkcLavNmOwAYGGx3Jv40hE1SH9yMjnyE7P0ipEcBaAdmXPg/0zvB8gbbQe9JpdpMqwktCOJm9s3IAEKKIrp4ycqetTImNumfMtKSLaOwZGLoIHYwd08zRxCZ3H6j9vpJZQGJB3NOadlfD52FC6YUYLWxNMcDpEbgxLcqPSt9662iHBX1LiMdMv7o6w8YYsZP5xtMa8LlPCCfr7eVK8WGRa13xHovDF0puwOhFVXEKIMRCCcyFsJrNNDv0xMlQzIbM6An/YfjEAqpf5XIUljRqqRxMTt3erQHwt7fa1RICEVQNAlCZHWzXUtRCivlijImMgecleDroCAToVKgrQwRoVQT4qkbMux7vP2ibP23a97sPdqcW0NpNFSugQf8tgYaSc/zPu84VUi/UZJDBmAoi/e1tv6Q16quiiaWVxRUwQZ9Wgy7Hhzrx2afjbM+yPbAkrcEtxSKFxkdECZc5L3EkivZGilyhE3cimasblr/pnqiZomKb/8KUxzdgqyr9X2VWK+3AedvBdO31h81FKS+4Ou3zxhSxtM0Ys4R52HE2nWILwH9oyvUKlwYrVWqL07Nox+KM8d7uHKoVEU4M1CLNmYjLAXhvPD5DRFO+wV4iGJeGPAOPRGFUyZNXW5QxsB6SQa0CoZHouEaTQ1+F0xdiQeKBZcmiMMxWkIRIy82Cq7RQBNGCkHZRuGFRjUaqBKtlajXybHtXR+/ImtBOJPq0qj2O+q/es+5FypzhdRie5LrWm6GlqC8fjlVrtH5XOxPrhMFp5flA2wN7HdsTrEeYf2PFtipTzFgAc6Ld42d4K0Ir2zMFtySnQKZM/TQIx8HOLtJcgWm3Kix+S6RaZRg7ShovbjcZ1vS22i4IpBxhLc67F/LnWD+oqJ+sbIwuQaE2xX/+bc/4Lab8VfPb/Ey95iWDsuSUNawiw22Ykmw4ymanyv9hm63gL2nP+hO22ibkLcWLE0B8zuyA/rHzJGHAvam7uKXMBeEWeECdFK8TUEt+BT4rO5NpBCN5ZAulSiOJaE1CvIN4ex8QyZXnCu6l4KwVKSPF4gqljekGnaXbZQfBKiB4ksagKbq7YWbos1Xwfw+NCACQAXiC0fyYOxRx4Q4Z+75EFCPHerYwbUHZK1IL/QH9UBmRe0Tx5V01+husy4/x8yHl1tDUq0tKI9b4cILAclR5cgidrP91QuZ9vu2BHmMxjrc2HC1EyaFVuRwRF6sha0cO+TbrhWdoGBbQQzINxHrTUAe0Vhx6eyoJpryvIMw6UIWWzwtkPNMurixTvx1+uOMJBzDU+4zDnczYqwYv8sQUZznviG39ZwYUyTzNwN1A9KZQlGopMiWEejfzHh3f8IPPxzQP+Kqx/X8DZDvlFMhVuD4vaD/dwNKD1y+Aaaj4vCDsA+9aBPfDFY8nt8w1vJYszsBX/wbLvrTHyUs9wnzlwXhiwUlVTx3bF5Wo8De/nnC/V/WFovWJJgfbJSj2UXtgendjmJbgXTailBxITX5/DXtu39WHN5b8SeD++SJseLw1COPwZ5HgSjHCWkQjoAaBJd3AcuDJcsv/JxogovLveDp3VZ1CQtw/JECldObQHp0R5rzHrQJK5BOocUqYjNqybAIqBdhkfpQEaaA/gNHUfZPvMenW0C+maF/O+D2N/y9+a2g3AqmryrKm4z0Y4eHf+e6AbXZ4r5o7to3NZkoVuG/y0GhQVEuLMLd/U1G/5Tx8ssepxys7cR8mxXmypmjQ7tMW4uz4Pa3FWlSvHwXMb/luvXPivp3gSK71/8qSG7tSWnToaIbM7o+436cIaL4FI7bEHmndBoFDwAaGmq0Dj9wtz4Xfq8lAYrWm+HqxFdVBY/l/AD3l6tdAjyA94I+wQ7canLdq7RK/75K4T2211V7Xr8EO7T2faH9puy7CSyZgZhwgr5KRpuA0p6muX81wwrYz1G8+uMKs6+NwD/XP9s2eOulrn4dFigD1te3JT6eyG7D5WWjMQJQMBDwAeiyO3SJ1F+v3Ub1wvXIiVeIdAsSXc20wrIMp3VKO3ivRgX5M/KE1q7N+7obEmZVd5Edkr5bQPa12d99RRwL+mHFIa0Y44o+jsglQMJ2wAC7w9YQ0wYeWkDm28HX5XXl2NHoVgHfj9QBNvR2xwbYLtrp9kb5x3W1dBPh2YKi3YPc1tBZAWavasmvKhUaRY2C7EWOKFb0EUNM21tyRa2vSwNYMQ6y3ezvsffNX7zOFoCm8Pz6zyt2x+eCIX9G2z92X7PnovLqe9XOmf16vXqf6z1i1+F73fauKBMj3SXlYX//r+/VUI1t9umerbH5lnafbm/uYz/38sKI/0okooWhIvQF3ZAx9Blvxgv6kFFqgEiHKdRt4tl+/X6eY8Grz40qq1ty9bOX+zy3qatrRStIOX1Sq5B9YYinFCDAekLVKNsiqI4WW6K3L3Zx7YErxW0fdRLFipJuV6+uNwiFVQQU3Ymy7fX9Evi/vQjnIxz0M1TsVwWeq1Fyn1sviBWkhN0pu+feFlGvk9qfPSIPnj77GT+37fY1t3G1a331Jvsq/dXLbc5QfSZzoaGY2KFuCBuy5UhFu7fQjqFXN7Q7C/ef5dflyEq0InlQxi39Bfdpxk/dDdYa2niUhuCW7Q+w22vu103Xwotc/jltL7o/t3XT/YWL3auf//a1jRlFLQ/N7O0MotbWY+tj77lPhNq5G7b32F+vo8y+P32GdBtvdnUmaIu/9j6xxS1m122cnf2bvo7P3IXBeH7Xa/v3//e+WmOXXY3XUbeXzQaunsHeNrE7fy281F3BrNmtvvq3P1cFgscwr/ZAe2SKVlhor91+bUJ0r1rYADR7ZPHK4gtjl12t797esYtZ9s8lFyBHE/LaGXpHlgtbBRRDl9GlgpuerViXpUOtgrpGyEImQXNFNh2ifZYXuHobz2aG0FgzqxFuXq19WKz1r9g5bAl7sV7Q12wkTiq4/nqceejGmXo+ksVsyezOLlrqFp/v182fk+cWNW09/K5HEK3YoWKqzK7tIoD4VATs3tOeeVgVIVrxw1gJYiKyYbUJC0UhKtue3MWgbCVDK6C9BmY4fcT+BpovUfN9TaCqbvdMZNw2RF+Z0zjYYsU5sYe0p/r72lCEi/vdJ4MA275oQIhfgBmntwNVzwFg1+6Yo+cCbhvrdr0A8w0t5h/8/j2m2fl8znHH3+v1Bye5+QZYHirqmxX9ccXD7QVjyvj6+IwgiuVdxPNxwMvjAfjUs+n8squIuhT2jbSbqNH6IzptBt2dASkbFcMFn8Ilox4Sck8kpHsysQOjCMpaIDYQnEqUQJyMZ79WhCVuQkXi4kW4PmR8lexrZRSo9KygG72gdAEQoOsEYQ7te6wG0tGV0dDTMQBib+pBnwAu4iFW/XNRkabIrEoUK0VShBBb0tA8kyE+7JUrQFEqEhuqoH1qCATXwDa2BXcNyTUBhq2HCFeHh0vyI2ATVzJj7R+JDvrBGTNMGAzt2bnYQgt4PYkrlQqPFgyWG9dT50tdxdNfVZGeF2gQzF+MjVq178PzPi5WmtAk5ofHYk6c76dDhN7d8MBYs+1UvtZbQTkqyqFCbjO+eveEIRYEUeQakULF0GVcYo/VDyjfzNarqIFrWwYKWjQUsW6bOazW4G9IAVx1DmjIaJvdqdpQn+u+WevJningISO9DFU3edrHOez67zaFR2z+Ct43JEEhngAYCpRTAA7Bemi8dzgBFUYNloY27l8ymBBRVsS1tp+XYP1nxZKEqAyCTIBK+440ewCIOz9QFZqJ2rQ1iBQx4TPg4VQN/dgEZzYEoAXiHjAp+51Utr3gAXZrR3D/YM8sGG2TvV/aEJQ4EYUHQPZEBUWO6obSinRQo+ZsCV6AWmsFYtfQaTE6b0BFCQFllKZVAGz2Hic0hkwrZnUBtUSiz6pAztCq0N0IoeVWkA+KeMh493DCP3r7Iw5xxTfDEwDgP6Qv8Gk54NPTEekpbmMYjD7oohhUuzVkK5LxwzFEtLl0Bsb3ZAjUXqDRVOPNH9SDzyyyw3PKTX9Am6gYKYxIESoJUiq6J/YAyjG2YqNGs98oiEtF91zQmBwWSNc+bgG724GgiXpdBbiWpIja/hSgHBP9V4tE7PI98cgckcMkl4JQ7WdEEJbY9i8A2oWzEux+iShX1KFD7bqWZGoKyIdoCTnXMB+ICrmgmir7zNcbMmzSZD7PistO/4wXo1mbX2CBYgs642zCYme3cVuSwE0kGQ3tI6vIzrN9/1TgZmtr6iO9otD/nxegVNTjABitrXSbONbPAi1P4Cwgz0ee6d1ayPyIMF+5Bf+1p18ul4R4u+Lt/RlvDhd8Nz7hGBY8HQakUHGee5RLglwiuifSFbsX0vTdj+/RFWd+7JNND+aKz1w1x8Mgmr5s+LjSJqOgHBN1O2ai9c4WCQtZBVEZRGsfAHSovWAOppWwbIKFtD8qA0tvDAunUAdPQPIOcWZRQW4iag6o8aadtf1LtT69atoZ/iwsQettjE8BMJmK7wq45oIsGegiMLC6q11sjBVn3FRXZXZ/rIoabNJCGlpBpLWp2H00NWXfQqv7XoozJWVPrQZgvg+oPZP50PQ65OrZbdRS8CzK1J6JcyXzbRCkSZEuG6vqKjHlpgZUEU4ziwh3o/kYoZDYDtQoY9iU/WHXbgrHPk7Gp8c1dDmrjWvpEF8W4DJB1ow4Lag7fy5TRH8O6F4EL3cBf/ruJ1QVfJhYxOkTEd310pHOqgBqwNYjCywPiunbYjElC0L6POB35x7xso3HWe5tO89o4lJxYdy33jCRcw2HyzeK8y8U/aeAw+98Dc3+BybSXijKI3B5R1GyYnFdnATlpwFpFl7nCgyfqCFTesX564j1Drh8XREWwd1fUivi8o1g/iaz/9tG6Ky3/OzuhddcDrzeNgIo296twPwgmN8I0iXi5nuOJnU2Acc+2Tkiu+TT4ns/i9dbaWiyVJiYLdA9K26+r6id4PRtQBm59vnIe+C8baCMHLWkQwWSIn5KGN6bn7TxhlIAWYF6qPjy6yd8fDoiPx/g4GBYgXgWTC8dIoDTd7YWd+yDTs+C+H5AnECB1R4oB35GdzKtHi8UWOEAACfdPAPxKNTFSMD8xhPbhO6LiPktlanjLFtf8xsW12kDpFDLme95+TK0JH54z3wsH4GS9hvu97/+V0BygToSwR2GFTf9gkNacZdmBFHc9TMEwOll5BxFU65zBTufyVc7XCW5ZdSr2aHeiO3IIiwgl1IA5YxAKZxhKGtBHRNqTPxdoy7BlEodQQmwykcRANGSDB6ErloK7AJaAE7zwYAt6A9bH07IAdjNPJNiIlq5og5bPwkGHzkBBirWUxrnus3qvhqc7p/vgby0nxEL+FCJCmkM7I0sZaOxmnpxNfXNVjFWNGEvvxevpAUAqIaIFLuEXWW4UQjL9jWfbRkn6+frtp4In18rquwlcdVsASR4z4wlW5lJbhNnsOqv7JaA1VnlAbqT3y+mmrlVRzfU2gOOuDAB8WAXsKCsS40mCO/zBayyB2hixf9hmJBCtVSEiGUUbUITvGa3XUvGaGak2g3gYbEyqeOaO8VHdof5dfXXq95iSW5DmJptSLMNn6uJKKR4iyL6dQAI0RI+p0Fdg9CNnqn+EU5ttGq493GzQitslQ0b1bYlEfv3tA+PqAyCgO1nvZ9rjyA4W8F+zvtyVWwN9skttvdr6q17QR/A/MtWzX+NNPm/nX5JMZ3dW3ihR2x0VoXR0M22XPl9/3euDSVkIhW2xf4MvZQyqfYjzlzYo9DKJBnY3YubgDMW7CALvjctKL1CBasCpYADze1LSaBJkWLF3TDjT29+xCAZD+mMqgGfuiOybRjStnfFgrj93ZTXB/6dD2bjpsQOCPDBnn3kejrS3RSLmwYDi3tt5JTPR658MD5GDRUIc4Z2kcKHUVCtYZz7lMWIaDM3y0huV6v4O0tB0Owc3vuHLfAmKmMJgZ9fkfvuCkWAP3+lj7a2Agbl/sAAHwF2patge1wT0AqiuzYF7WJD7tocdi80VG1q+W1uLrZglMwNOz89IDNfE9d9Qq9wFXGnLsMDJJ/d7UUxQUMlvQDF5GGzt5YQVNlcq+/1PUq+WvtCG9lgdvIaSd8X5Pz5wALlPiCZOJf7Rd0zc8T+UwQhVLw7nPF2POMhXjCGFYe44pgsWcjSgkzSV0HUarQkRLdAttGm/VFlbPoVtpYwH+k9e7KitSutdz1psSuoSYGdDy08y8UnTmhEGHnQbegtqZZ7NLhGt0dpI3JqNMQ1sLDgfc7SJhNs9glsLS17JLW1ABXaXU3cZ1tghXbdFEmkMKH7+DbeDQCCJfxGd25nGey9o8cRXin357grZnebXbiyvMcc6WK9qMdgyYXtncaMQYth2r/NZqXCKPC1iXCpgSTeY7tnDam15Yn7Leup1y5YiwoNRiqLcEXCxj7zmMET8J06b4vX7GxxajwCWOitFZIzpB2sgGRSRdOJv/vFcMJSEz5MN6gqiEHhh21juiwsVqYTn/vyAOgxA0Wg2eDDxXVTuG41kZ4qlYmL98XGxeJ5E0vyglC5rdBjRs499L3dq/ci79iF9G+eCBp6FxylJJ21OzG5uvmhIJ0rXn7RYXmgUm/87oL10kF/01O7IQHhZkVZ2ZOrYROQDKsl1UdgeVsQ5sDxSgbElc70Kt4o6sA+1rC4oVgv67DF0FAmhHu00u2UvsrYHmY7YQGGjytbB44B651ifajQQ4GeI6SacNyByW0YM0JU1OdkKDITRT5L0+tI9G2XpcOcDlvMrja6yMbw5CMAUSbQAeieA/ontOurnWA98vpDpjho7egDW+xfaQ/JxKEgHNPlKs/rLe2dX9t8IyyxLb22vbcfVZdtxHr/yPXMRxOxehWv/r7XH5zkxhmQJaDkgCiKt8MZfSyoEKw14HkZ8HQZUc8J/USj8NmK3Lg7w45mcMmEq7pKxKMw0AuZB03/bJunE+jAMSRtELe9/v+8/WmPJTuSJQgeIamqdzEzd39bRGRmLVndjarpQc/8gAbm1w8GmJmvjemaWrIqMyvWt/hiZvdeVSUp8+GIkLz2XuQkEI1SwOHuZndRJYWkyJEjR8J1JyLsfQZFugjCNbdMWFRFnSLEf5cV3pfSC9DjytHMp946iFenG/j97ydBXiK8FifsYm0xQnNAIF6HKZBIGkOjYnngULWLcNh9QQSYqTLoPRNbIFNd/ZN1uQog7ubaJcsIz8kEHVxxsz/LqKqcrmq0Dg8+0OqfgnoQAGYxoCx+VwyHYH99urDmgohenx8pPDQ0dJVBCgN1R8kPzlE4ZP68Qa47mhKtocAaBOlamFl8iNjV6nXmHtCMNGDSHQTeHqcPhIECb6jicbPHjQo1uz6kjK8Prwii+PF6wvNtwe11hjyn1rC79TnzuhrLbtdEO9/eccOCtWHRxMCqTqxzTCl0Wmyb9+4Ij05xoywXDxQrgY4cEbbcx8sCOWbeSP9pAQW6A8CAx9gHprztGXynW2sU1BQNOZfmxLsteYDlAg9pJcWuJgGOETDxuEZrb45dpOOde61K29VS5PqVN/M20H5JAxbWWAYxZVHpTr9IzwQBzSkMJoDXlNyLOSOW2RtfX61UInr2pH2OZU1MgK4u8U7IxW29zolqvC1LB675Yd23NR6licSwTZoi5Ghtviwzk4C6oot4eH3RqpbVrb3tlNO577iH5rRmwb4mPK8Lvt8ecY4rolQUDfiHywf84eURJQfIUYErMH/0vpzanOJ8IJtie8+9YH+sROedgqrA5VurEXoxUZ5VETYLSgzQgrddMqCOyr3361NUgV0IUE1UaA23ghAEunchMp971nGbM++Ce+B5kscM64iNuDYDpNlyf52286wBXF73ryDwFUAtBM9sDXuLFO0aC28vD+4CALH53wt7yc6J9e+R55/mN4GDMrSD7c1Mxus9BdH287h77TRYS2vONjL3KqclStVWky5vnIzWzxnguvb6TQ9qQryLfUS5ziEC5Ir0TBYWUoSmSMBWWPM7vRSETCFJB7vrsDWkm/ZnuVEln4C3179XyKCWT2VlBZJimgrO04pj3LFrRK2C5/2Az+sRt3VCuLL3rNNWW6sxr4MPvscB2/sKXViLBgHCJWD5yFri9Z1gPwrmF8F0IfslXk14y87BeMsm8FIgNwI29TQzyw4QGHQtEe+tXRTTpbJP5oV1gcwCMuPqLDVvP5eN7VRgdfHqvXfdDwvmsN7vkWG32vZZsD04qBIQJvu5gyqFDJ+sESEF2sGeWS11IYDl2iFs5xjscwNQlQBoFdRRoMlrnqdgAbHteWpBxG41jn1aeqZ2ElzPse0D6Yrm12hUFN8DzOYV94FHKEBdBDlEA8oNxJlDX0d2FmoChfliYCLkm8fGTksfd5TzgnxOlkUvBgDwmT3oChmYP/NsKUfpTDS/P6HoV6sJjwFyPvK8z9Qn8CteOU6uYvvby3sEA+OXWBAnRhOfl5NRVIGcnJVEQaXpGcB/m1EXIL93FSDuEXU2jZ1ZkU/u47GrxAz6V/ksWD/YWFuLrnAT6DohrJ2q62s43uzcnBnctjajgsZUKqbOGzfB8hP35v0YsFtXjfTKeb98WiC7qfo+2D1fEkIWC9C0AxT22VDaqQPEdaLKsFOGw25BmNJO2Lu1g6Mtk4v749UF/OKKpnZdJ8Xyk+DwI2Oa7V1iXfbRMrbR/YWe8Js+GittiSiJavdlod1MX+7rdqc/TfgP+a8IAE+K/VHx5d8Yo0SU7VwNKGhM1sjPcs0WZ9uWEzO6CAz2042sFmaXaWfbk2B/FKRXxfH7iv1kID2Ax3+sWD5XvH4XcfuWg7I/mj/uOK6ggYB19sCfMcThY8Hyacfrrxds7+7P4H/q+ouD3LQCYRM6PaL4erkgSMVWE7aa8HJbcL0skBtRkWDUTVG0AuamQDazH6POCjzsiFOFVoFWQU4JKyJRqSsNhdQGHpIhdwcZANvM3Fbowwn6dOSG6krGuUBuq2U/gaDKvnEWeEmx1jbmfMbXlY5oOaDOoTnMY02HIz3F0ERNdBjiCkwXAgAeXNTYJzUY1df7zhLh6we2VKX4iaGBdU6QWltw2w7xFuTUFrRpFNIeTanQVf2cGtMUMqtv+DanV2YI93NXR2PppBL0006JoiAYD6G08vXrIzeuuFlWd0MDCvygcaVgpEBqatVeU2bUZZXQqVFNnKogvFx40AcG/eV4BIIgvu5IVQEcUA01HhdQy0I7z//OITQHbaR+D0F5axGTqJr7fFtQF8Ffn3dMUpvolF4S5mdTjx7YCp64q1afQBBEEb5ZsRw23C4z6iUxuCtcU/vKLGvIlvVXRZgiA7gYW5a+iZGNdU0F8DpF3XMLpiDUPVUL9LiphTvkP1hgkc8T8sTDYjuHThXEvUNPGxJMgbZLiuq9+EpePGhEc+qaEuVajXbviL8wIMhomdtWx2WK6RL1vpeuX/56n/IlwqnTrb1O5U2LZRR/KYD1mk8psB6qdkl/TbHg0uuaqTRq9rLTeXE6WrxWtsMB2A5LYH0hY+sL6Rk6wJ1o29MyIeD+O2bB2YqMjlY0FgXBJc8EwVpN1DvFYqnOHDG2wvB4zMwI6i3iss74aTthTxGnuKFowB9eHvHTpwfULQLHirDHRl/y8SnmnOQHYP2qEl1+zAhTRVkjsAXswe57FQtMBNMiqKtR0TO9zeBiXAbkUdfBAL3yC/OfApVac4UrMDdqc2HJRjkl1BisN7o0p6TMQkcIaJoMbhtxc2CIttyy8kIAL61dnAZiNlG8jRNaECO1s41a8FoZLNyVYUhfrw3Qc4d/3UndliPqE/mMnuEqGJVb0c4nUWB6qV3ccBkytop72qU58p6BII21K/N672e3m5adG29f0UXUrEe1lzGIooMtKUARIOsOeXFQOnHeTPwrrAVTJgCiwqB+N8drzJj6s8SbtbVZN45TKdCcoUOQq0lR5wqZC5Yp42EIctea8JIXvOwz9ltCunb14kY/9n3d6Pd15n6uX+2YTxtSqphiwefPJ+TbgpA8++eBsiBdKQgI1UbXjl82hNvGs6dWIMxNBVaqsc+cJmz1tAGk06oA0/NOkaYU2HYnDEqmNi+ycH1WC2jdxt0/KQtaVqZRdisQje1VLGBwBklcu4MvFhQwiAzQrEjPAtkzVJV9TWM0pp30vs6+P+ugtZI6EO0BA3VOXIGYPpi3aoobz3AvkfBgtMzWa1TMYb6qdUoQEmKGZ0f1/Z/jFXfae14CZLrXrihzBxm4d9q5Z/5FSRH1gSU8x398Rvj0DJ0T8nnh/rCVlkxRB5UEBvxxPa8lsGuJGjg9gA5xJyNOY4CejxTk23cyPOwKN4EuPRv2w+XM0qqUkQLBnRQqfj8/YU2WoU8KFMH0hefb9AVYPlJkNH+tkIl14agMNqVY0PnQy0DCJk2Rdz8D63eFwI/5CulLQLoyEVAXACsw39D7pBfF+hSxvu91wQ2YSNaC5lihXwKOP9Jfef1NQj5SyHa60H6mj9FsAg38Dlf6WJ719LXhvqJUa5PW6OzA7duK+lAQnyMDw9zfU44WZJpatAe6IwDS9o3sLEdmmvVUcPhxYs/eKNgeA6ndR0U9KOB6N4FAQrwJlk+mjuwleROfRYpg/kLgo8y0x+MfBYcfE/IJuP2qoJ4q5HFHSAX7fzvj+MdgPXEJyuXNWXrmp+6wNj7aRKzqTHBafiDV3Jm4NfLML4vi4Qqc/rRjf2DfbanA03+5If3pC8L+NRAS9pNg/ZprUb3dkjEhNSnF34rg8JGlhYffvyD88Bk1/QbP/2q589n+qesvDnIppS2ozwlfliN++/jO6hQD1pJwuSworwnpGlp62nn6TN9LiyXUsl6aSYuoAsDogmxMzfe3+rkorHOAHdKOekcBUoQsc8vujIqXAEhvnSfUExXpnKY81vwqbMAX64vozCk7z73utiajyBpVyQ9fR4K2B0GwIv5Gb/ORNz5+GNH1wZFWEfrtRmsWyzI2mvKegVrpGITAezWVxUZ3lZ61bQel997zw+8X+O3BM7XuKDnz860zU3stnW/EfkCqiXrUaXASfA48wHQ1yMzgVooJVQRB9FrhiQdKPSTg3ZnOf6132W5Nod1ayL5hclN1h1VMDbNtRIABGwYSxEDn2eg/7TmLOX1rQCkTXnLAbZ4QjKb85fmEfEmIl9D6kLmytNNGtQ5j6GNnw8DWO8o/Rstrohlvr4pmB3eCFjHevy4wg0DxFaDx4AGrkWMWEJXP3emmodFN1TLeTsdvtzDhLltLCpYwC91qmqQzNuyzediERiNzoQUxenpTAk+BX1eY7W0gjomVjGi1twhrgmt+X0Z/VuV6CLsawOBrAfZ79Ayv+rxwrNyZJdOhBw7NOQm9tstrcMIQeznAcSdM4r/zzLtYUD/QrNWyGUjoz/Qm09frcwlEiNj+6K1CrCXPnehZA3UGMGeg5Tsls64Bl5cFf7d8jUPK+OPhEVUFn76cUF4SZA2I14D0ar0Ni6n2utPY9hvfi5g9iEuBTgUVE8SMoiaBTDbee7drr9kTMPDxPf4XrzdZfTFF8HpILVh0uqgHqMFUYOvcbabdv5XPVBeFmTobodEibT3XJK3k1EGg7oRXgg65j0m3jcp1OJYcvFFI97HwUgc+RzSnX1pwK8ZiCkFRUQmyTXIX3GgEQWNXDAe6SJDPf1FgG57F93OjMrb2ZcZKkqEEpQW9MUCFIklt3QppsaNYWwssDLTDaWnz53Pq4oxqjJ5QlJpdxq7wchC39aYrYKUvvd92uLNzKSZekwOeX4743/AbHOcdvzl/QRDF33/8gNfXA/B5oo2bs+dsMf9u1gD6h8LsnP8tyjKWOvM9ZLqADrutkTqFrjBvQCZ7H5t9hIC4FkgOZlehB4E2321bEJ6B9UBmk4O6ZAoYfT+KKfp39lkrP/Lx9DpzCyJbuY2t7+bnOMsrmn1kr70zW/RWSUGgywydErPSI1sLMH+FjBO+z2zaFbqlCwD5GRQ3Zsu9rrLZVOhBy0j9dcCmvcb2cxX+3mn7ENMzMPaZU4Xj6qw9X0eA+DoZ6/jRf8YJs+c8JOjjaej6AfaRNjYQ/SZSSKGdSQQ/UzIDjhZE2e84TrUDvtNEMbXhcl8svgb89PmMmCrmKSPFgnVJWKKBr8dqfjbP7XJkoMgzwdbbSzIfxfdr9LKFoEDmmZCufI585M3G53B/L6a87PX9vj/lIAjmO/RSRW0sCtbICjPAVwbR168ZRPm+vJ+ltXt0WnMxYIclBhWxMIMJUajVsdZJbQ0M2VBjFKWrICNCCgNQwEos1anYtg8ZPdt/B+2CT42NYKWOhx9o1/MX2r4euS7LLCgLmayyBsjOEiKdK2pxyqeZQALBA4DnVOIzeVvPshBEKM4uUUG+JmRJiNUALe3+mWeeW69tMDtbjoAHPmEjy1AFWN+H9r5Q+PwEqvRnehb74wQpD9gfAvLBx48gVmzqxN3uGyvsKJAaIPmE6Thh/ZC4dn/uUv3i9Zdncq/A4Qdgeo24rkf8B3zHjJ8oag2o3x8wvwjSi2B6AcKmmJ8NcZsYANEA+XBOCyopQnPfvcKVBeZxhaFtLi4UWWd1q5DAzVwRgePMFhPu0Lr4gdqme5iRnw7Y380IW8X0ZQWK0ikyYRZmoQT709xRtDFOmATrk/HMrS0S+0oC6UVw+Ikb3/VXNLj0ysXd1NJCPyAPPxJ9anTGYPU6zYHuAg4aI/Q4QWtFvK50+B9mlMcFNQWUiXSj6A2ah9ok2ej8xVfSVHSK5kAk5ENsNiZq0u5+L/5zCwzapR1Fdwpr3BXY0TJ/NQH5wMAmXenoEDG0OTfnJGylof9QOklhzUb5JIK/vV+gXy9IrwXpeYUHhCp0aBst9lIgNWCyWlQPrtvhHiyw0Yp4yRTgyAyaZQN0XaFlbY8Zds6pigeSCRoX/P7HI1QU8RIw7YOd76Yo6Ju00mGW6ed2BAAxFeAAlGJzJbRzB0Y6vdDo9A7YuEMcLQOCPj8EPuxz1JRobUMMm4n4iJioVGi2Xw7MHJQDM137MbQMV9j5LPuDtDYHCHQa84o7J/ZOOdE3ujP/nW5saUE5/rFuyej2MSBYBg4VZCxUAhuy9UO81VE72CFOQe1ORkAFVnPIbOMFusPaDLnduLQ6XM/Scn3Thn0M4s73NeerKlIe5kvEsq33ipdNjMhouBrZNuPuMo/JA+GeGastAyi5Il2LsUsE0ZBiSM+iOyru5Q5tnEaQYLjmZ4U+E3Wp1wU/fJyBqPhHQ1rjc8S8AunCOq+4Wqu12tf/nQjMRhuroI0flx2Hecef5An4Y6KTcEDrfxnW3AIfZ64AQBCBTAlSShOg+hll34PIopBXbn4yPZiD7IyQ0MsyXhlY7A8J+ew1DVyn5YBWclKtBcwovieV4llxVZRk55feAxwqwBSCnSPmIPi4qwLbbsJIkWU3gAlO9TOg/UwEGlJfIyasFqy+uIEoNUI8W2qUfQeoXHSt9b8tSkfdnRxhbVsq1I9YHzt9EuakeZuPmjgm8aZ368hppx50NwaGGEtqL3yNBTtkJCnqMaEcE0KuSJ9XC3ylAdne/suFEsPMZ4uuFGoK8mGz4NrXlomTSYqQgd8sGQhrQEkK/XTA5fWI5wPwx79+BxGF/vaI+TNZYy6y1QB228vZLkwhRzqBPZupKCWwz66w/rCuAdNzF2Zj4MYSqHQBpp9eILcN9atHlPNyt+7T5xUqgvI0o5wS4rUwUx0Ct38XWBOOfT4uCDuFkgg+mmmcAvZTYEnVw31Q5gyjsDF5VI1Z5zobor0mmR0GzA4mrsG4m/+CHizHG8WzNAjKuyPqkrA/MbM5f9oQ1kzK5RwQb4V0dfWg0XobKCj2dAzma9BXiBdSgMshIlrrnu0cmh37Gg27IgpLIlyroBrjzoV/otUQlkVQA5g5+lJQ5oDtLFAVxLUibhXbY0Q+COM8A5/q4iwnaWwP7+8a7aza3y3Au4U6L2Ig2CnegUOsHSYtdT/7GcUSHy8R66VLvuDA1ovrRor/wxE62LkmbYEkNGDNJ+yT4nauQKp4fthwONAXnN7fsF9mpC8TpALb1xW6FISXhPRC6vLxDzSafNZeT250YET6fac/MHC7fitYv6LNnP7AoHZ+Nsr8Qns7fKw4/e6G/DDh07+ZTKxVWlZdsrf14Vo7v3L+q/UT3h6Bz/8Tn/XwA1vUXb8D9l/tCF8Sjn8gU2H9pqIeFLoUyFyh60wadpBWOsaWN7zfdLH93BIU8qNgjqzH3b7imTu9cm/PJ8toZ0EqAGa2mkQw7KECh58Ey0cGldsTx+Kr/w9riP18LrMgHwPyGdBzRjwWxO8POPwguH6ryH+9ooKBg5e2Fa/BdZDgxLWaj+hlQk+W2akAiiB9P1l21sorXigG3IJdoe86vSqu3wS8/o0JXUU+4/RCCns+A8//moD64U+CsAJT6et/fRfv2Davv0q4fhNx+8B2Sl6nHLL14M1AWBk/5CPnVpRtjbaniNdfR4guyAcD2n7ZhfnZ9RcHuQAaUhZvwPY8oQQb9SqYrhxA9trThoY2yWrLGDVajNrNuxiFb8R6r3DpaJzaTijtMDVH3nc0sckFuuNr/25CR+4oeTsaQ0BhlCBH6mBZTaez+Gbm0u+9ZqCjnh7ktYJzKxBvjqAAzp/vbYZ+jma8vVQAcZEpq2nRIPfP+HaefDP9JQhEh9e89f0NGGjvffN2P9xbZs9/7s+p93S2Xq/QXy9ewHZ3v0oBqmQBur+/qToaDUt7YHFfR+eI7/hzRbX6Mo1gj0Sg20izlXA3liGTFlVv3Q65gHloUQ1ZWt9ZF7dyChJgQV8hrYS1uoKSBfseUQqVd3u/Lc9O9ED3l7KB/WH7WlH/DKc52tjyX2JzIN0OhtrGt6Yxouet7giA9+1rVK/g89AD25/926fY1tD4HeLPIIOdtefqN/W2t+md6NY/afu+cHE3J29pRbQnyxD4+/7Mx+ov/fzN+vE9pq0jEQITHsB4cPazezeHESbS46rafsvV6dR0hl3EzdspjDbjWdEGigAY69zHizW8QL32mnIXBgN4+IcVrS9utMyxszfUAgCJFkhkotClBNQSkGtAqSYA+BYEsSAURqkGQHDAn8v2Ab8fGftd+LNoH6e7SzDYlv2o9kCC54D0PcozNhGGlBu10ZzNJtQTh89X2Pj35/Iz4L7+W8jCcVuIaBl8vsDEbN7atgWLGECct3uC2znnne9lYGrg3i/ZrK1xDaz1+8UzYBw3M2cft7u1N95PsIH0famBEaGXSORxAdrrogBV7s4H7l/SaZ3D/tIAHWMUjJngfi92QNsVNwA3ABJaxwcosD5PQFAsl14W5XWZTod1MAfV6McuPmVjpSooRVBr6OeLj5f2e/axV9+n2x/bp6P0FjR3wLJ2WzAwvrXcqGD2cxxPA/6avzQM+UjV1CaI1e+rCQBV0Km213oc1ZgP0j/UAZa7y9ewPfN9qUvP1DXBKeF3ylC+NV7ddxt+Vrsd+nO1EhWroW5rILg9asvi3q2Nt2eCrQ9+z72f4fuXtzL0cx5Ay+i2cqA/c2Y0P/QXXkCaLdoeGzcDdHYDjkag7+05MmS22aPVa68pwJXXhGsNUBX6H7szDsG1aSywMUPuJYZ1UgQIqg/WZllH83Wb3zX88bPC95DxvBz3Fwfm++T2343rfpw0z5hCgLAUgoHONpiZCYWBja4z4/PZStmMis12fh7kauvGIAWQjT2zPXur4Y1x2v36bLbnqf13gJ+1VFOuh9BKEqQIUAQ1C1IWO0cBLaExF9ra9DkRoEZm3tsSajdgY2zslVBATYNFoZPei4/6nLwZcxiTtrELbX12/9TmywWvFAMbEPAe1dXXtp/3Senz/rL7087ZAJsjP2P9+f8Z118c5Hrtg2TB8XvB4ccJXl8LkM/vaP90MRTOaCkeqIoSgQsTD3IJQLwFQ8kqa3SDidXoQBcTwMUU4jUDRqkhbbM0lT5XN/V2NGHNVtu5Ybnu0Dlhf+Tvps83hLWgPC3YH73A1u43kUJdjsFQF2mtaTyQZZZWrRBf7gxlVF70XrLpiraJtAbkEXBFQN8sawpE6D2YCQw29HyAnhYKrlSupriDSPZQ1ye+wQbpsvz2fwBd+a4OIjoOJCju6jz4S3umhCahXq3uwQVo3MCnV0W6WC1gECACFeHukKoIkCkiCNF3jEEGAKeuxbVYtl9NBt4ywNqFTvLDjHyi2M/hR6KU5RDv2iLVSZhdnhTpxhM7Pq+s1QaAdw9AmYAf+d/lc8EUKmkWaRyv4T6VAcJ05QE0vbDmJh+5gSUBNyklnaQWoP44Y58ncyQE0VoKSWamaH6pmF4Ls825doGiaeBr2AYjuWdDORDWi9XVtUUgsFrlyUTUypugQGEtgTqtsyYG7a6MR4E4sKZlMIty4N/xKq2v2n3dH7PhzL5oZwAsEToF+97a234JM8zjYadecxsGCuueIZsO7ZQC1PYSwJw8O/zjWhG22jJOzFTxOcoS2DC+KhF4RQexotzfh1BsoUZBWl2U6BecO3PcZMjgiQpb90TLMDodE0DjvZrDIqVnpTx7r5HZOpRAlcWsiDcirflAwCvslZmUrGY3yn3PKaQpoSkrD5BoyMDpTxX6g4lHHS0raMBkumlrQ6VimYYrA+n5cyWyfY7YT8GoakYtWxL2LWB/mfESFPKSDBjqLVlqEmxfzYhXMmskVzIOVFmG4TXJnuVtQoIbZM892y8CPR2gJjrYewrbM259LiCwsRIyMlbO8251RqJgO49IR8nbaIgCdbFM1uAAOmV9/swzz0tWmBWgfddDgi4R4cK9AEbjJHulGAgSaM+qrXRC1o12cVq4/2TLjDoLowUO1DtIlU533RjkFNuH4AEw0GigLjIYA8h6iNYz3s6At0FJGoTNpPTMSto7S6gcJ7iompQKXRLqvDCz5wJfr9KUhcP1RlrtYTIaqdmumlOWrOOBdkffHea4Vkxf9qHshIwYSak7/kMAcP5DBV7QSo7ygWdy+q9kF0wvsJY5/K64KZaPGaKK7V1CmS36U3Y0CGYjeovYoqK+TAjXgGDAZch+9lgN96U2tladA/I3jyynki5C1y4HNPYKk+2AWvmOn3lVIxAEaQMoZmBndwrYH2ObH89OTS/0p3w/956UVdFKqAALrArvvSxAedeZKy5OFDf6AflobVeudtZbFj7eMuvQi3cDMFOaIsJWMNkc12RZzpkiUWErCKOWx2CD/rMyB2wPHIt0087WsudZ34U25qqK7URmQ6ONJ8FuCrH+2fsJvRWMrW3/nHRTzF8YWJaZPsz0moGiyOeEOgfEa8H0sqNOEdfv2Gpyei2tvAWKvnaMjSN7wZoOKI/cf1z809V6HWiYXypOv73RVnwPqxV6XODlPCNLpxwU2UCU6Vnx8FvFfhI8/2ury/8SAQXSymwafW5+1+N/ZTvM/GDZyllZRzpXTB9uOB12liNeE+Ql4fT3XLevf82zaP4omD/y87b3tCGEYMq8VjahARoOZGVYImx+5fm7PQSs7wKq2L6buE4hnEMPzM6/5Tm0fCoIGXj9TSQYM1ds7wI0KeTDhmXJuH1ZgJcEXSou/1MGtoDD7xPCK5BPFXLOqHWCXhhsnn7gGfr5byO294rpRXD6Pc/+29fa2JaN3mvnolO4l098rni1/SrbXqDA9sD97PaBWhDTi+L4Y8V0CdgfJpRD4pxE06z400Qa+eyxhLZ4SCdtLJFQOJdyBVQCdk1k3RhrB8K5LIcKPRVkAdYcEDfB/Insh7II8okB68Pfc63lkzR20/ZOMX8WPP6DfZ61/+n6MAS7ywKs77m4pgswvzLAk8pM7fZttfvh9xMM6Ou3MRcqW0TNLxWXbwNFu+6Qpj9//R+TybVFG3dtk+JUxulih8SqbfNzKpNasEZhHbQDq/UXFRgyYehLQzDkLruDqu1gqOYEd6TcxC9gVD0RwA4G2TNgm2idFjhaLnsG5GB88m48Yy1HE80aERX/Y6+9a1asPQiWDHiLlLCjOePe7oYojKF0DfH9BZQOaI7fWIeCMmSo7U8bA0NBWq/cX0BtHG2r0wC5+MeP6A7sILXn6nUzYgeIjZP4Z2o/rOx1LXNmAbfX4EEU970V0UAN8SxXChSvahmtwvk7UnCDzqsFSymggn0yw16REaFnoMLFIsyRKLVRYEfuYbwpwpWOXZ2ENJHqgjT98HZbj1ulqAg6mqxNbt/qODejrzst3wJBXwtx1xaUibei8SDK61BVgchYRdzBb3RW4I7SDPu/CJ3ARByW0Uofas/OSOUJ7/ejDZ0D6StuP47KmUhC2MFssv8O/avd4W9ovwWSzbYcCc8V3jpHRZidGBkZMbCOtVbIxiCyZYrc7iHNbsZnC5WlFBQ78I1V7zIBLnbRWmu9XXoirbZeXe7+bXwrv/xzAEZ0kXYotsz6SMENoBCb74kmiiYh9GSVB9HZUjn++e5EVe1glwNf4P6oEu5tA1ynVH4Fwt735biqKUNa32Gr6wvD98RbIVVUfE9kfToECCsBC048gRB3oBlIcBzKEhhEu8G4sN4ytQyfeGbKg96btNez7Y71EXemxzBnIyOk/4z2xt6Zilo7C6dpR9g+P35cjbA6WXRUWcHsrrgN9UO/ZaSCoIpAXEF8FEUcMvwaQgegnBEA3AOOnuUTNLpke63SQILQXmrh/bbsyuDEN2ZSEWjsIomwj/FMl5jNOVjoivoj46OVHpioULSMiyZhSUyws0V5XktUSGbJiE4RejbqZy1Ws6xcBy5c49npAWBsAXGuaIyu8cx8c36miyIWtpXZHkyALPfaS1eQDkaDjhuBdFFFOMa77I0LDNYszMDsAbIGUh7dzHLPcPiaqQl2JksTyAt5EBK0+R2ZXQ7cN8aDaRm0PbVU2zsFmKKxbroqfqPxmt4GIG1uCXqbAKT5dHd+Wej0SCg1AMasjIsNtsyvoImluWjcGMC3/uyZbA1naI37LZ9HEMq9OGJjQzgjrqLpPPjazSk09ly0Nk41upgjbbgp6npgArNNrz80F6DMMoB8dWDNCOnCw1oIRdmfPoZ2RqQgbTF51qsxELbCUjpLdriug1bzo83Z9z09fbkR+EqxnfWagvkHBmrbRYCWgAYDwYxQIi4rs5xxE0uoAOmVwc3qCaoXxfSiuIXA4DIAeiqQpeDdww0PC9uDXkWRLxHplT7f7dfW9ubLjLgaADYrJDJoF1ehtiA+H81nr0CojBPitSAfQptriFHDJ+5z1QK9eDNAatcGtkqJ3SZnUm2nqWCeMm5YWIt/qDi9u+J2nSE1tXkOSVGitrVCf1GhIdKWMrB8VmwV0F8xARCzae7Yd3Yfrge40UF/zxqbTWlk6df2To0JyIWcLkbbdpuoQLT9xNkI7WwTV2G2OldRJGOZUAOJc0wgF70fbVJIYoleXbgfiPJMzyYemS5WwmS2ToE9tD7jh48FdRLcUuhnhq/vYOvNmC5kQREkjysQTsIEpmhrH+b7XNvvGs2PvvX0WhHe20H883DoF6+/OMg9/yEjnErrv0eDYPYKAqRX1jI0J9IcWABQU8qLa0W6Wu3SEDTx8CUiyybsdMLi2g8Kj/T9gA+2Wfwso1KYyfDAtzk8mXWgvG+FLhEVRJvdeWM9G1ASF2fcvA6NSmhBO4VNCtEvAL1nVXYKC/oh58GtH9pGDUy3iumZanFhLT2AArrzC7R6EA8Qagqksflh74j2CAp7YOljbOIh42v6mPdFNIoqdPGo/jsG/NKM3NuX0LehkdaFVAlSJ20BJAad8cI6PBVYywTLsBVmJDQFtm8K/f1sEWFB5NBEHuD9ey1MOVGEIx+t5UEMVLqMVLdkyxs+XDwk6D4RGLmukNprcpePN6BMrU9enekIxNWcDmvJ1KibA0DB1jGBSoiBTbKlUhQqXW1jcmfCHJBgwXJzwLfcA10M82EBHbM5M6RWhHXv9gIYVSw2x5nBk0KsP2oTe3KRj7n/O+yKGBTTBVbHZMGr+LNKcyzqzDkYHbo72wMdY6+xCdv9WLmjiiiox6mvY1UG9Vb/1S4/zOfJqE/2uzt7lh5A2v7C7NvgODqld7hnB7j6OFrN2wTsRwtObY3kQ1eTZtsNbU5TTbR7hNi/04fEgnwaqu0VDYVX1kGOz5sM0ErWSmWOyMdogEiFeuYtStsfmL3n3zpF7hEXgRZziKZ05xQtnzKWwlrJ6TQhnyyjYftOupSm0BunIcs7ZldtXWjQ1iewJkF9kebAcT/nvjc/V1JBjW4ar6UDOt4/1jLZsltWs2JAjc3pj7HXodv4ylYAsG+6pghUgTpINse2P/lzJAOyyrM0B7O6k5m7s6/oVK1GafR5tf09WD3ZXQBSbL95k13s/T+lsRXEGRjOJJoSXD1cvO70zeVzrlNo6q8jPd4DV18P8UZbzUaXqxEoZ+5x2TNcbb+nbVcIcKATx/vk6xoga9RrDwb4h7abboWq1gb8EUilLoSL8kgegEzXJ0C/D61AvA4ZPsNO6hQhgXXdyH62G0Id452dh8zaY6msJ01rzxB7LadURT4FU5ZXTIdoNlIQ14p8jCgHOqbn3zGDmG4J+ZDYNu+GZqdksKExtJjVF6v15lkfTEyxiU4VBVJAOU13AAYHiRnP+jib8899PawVcR82QOE5SoDVzmixkpnQX9NsIwAlcl1GU5j1Gly2V/E173u4gVRN5NFEJiN9IanKftQ6fE9VCm2VAp0T1eaHumJnmBGY5pVeTZvDwHkGTrSX+bm2PUoTWp0jhEwUeMJBgclaGvpZW+bOYvB1XBdm6sIOyIVreLoQ7FBhHXUT1QKQH8j4q6b3kY8RNR6AIJi/lD5fqfteaHVWnLuAhLhVLM8EXlx4aqxz9qBh/dUD/Rbz/ZYfrgifXrhX7DvGVllxFaRL712bTxF5MYBxl+aDlhnmJwHrN4VjtlBcsE6guu5RMT1skKD48ccH/JCfgD2AjMTQ6tLTc4C+UrUXQsr/8tMApsx9rEeQLR/pc5RJEDfuQb4/+fNvTzyD0wWYP2kLAsss0CdnJwL1mhA/J5x+T5u41BO+nAqmpxXnb164BoSilLdvFoKxKiifJ4SNbcq2J8WP/ye2e6oJSK+sZf/4bwPSFXj3/6X/c/uaGg5UV1ZMO1jv2+YXxgoyVXBbDtt7+lJhB45/og1++h/IyAkZCC98n3/28tHHiWCCU77Ta0D4xKz9/r6iVGD+EgkwzIK6eoxgRlEN+68+CbaHA9gf6M+kGzB/4fgWy7oX0x0KOxA+046f/ya28zwWZm2pitzPx9MfvHzK+lRbMixswPwjz4X5I7/Tg+FyBLYnoEbF/sj1oilge+Ke9P7fA6Wb+T95/cVB7uGPr4hHtPYIFJYISKeJBv66I2yltbGRoq19QkUCUmCWN2lX5A2O2KA7CFaA35Ewczx0OAxLbe1P3HH3S1SBtWfm1J2/WoFMx42S9axxZcNpc753Ot45MNCK12qH9UTETe8D2LjRQdrPFpA5BbUMk28OU6slNTQ43Qwxzmxj1FowiDuu3Ai8RqllgxIpyHEtkGtpWRtmcO8vV6z0pvMiQyAt6CqycKfpzVzYYSsW7GjsNXuwgD/s6CgruFAitDmz5WDKvzdFvO7c3I4T6sSAts7CQG+jtPp+5hg48BA2IaARQusV6X8ksycoxZOitXPqgX1N5kzfzFGKghIj1Q6nRFrgut2tovDxFbEkpJnfVZO1A7FMslOsWgauAl6fxnuuDb0tt4CQKe4U19BVBK2O0jMIDRyy4JaObe32DPRM3CFAlwjsgFxWZjZTpFMcXLkXzakWc6Y0EBxpznHqPWV9rcWNWdWQQcqKm0rxw9IOGqutGPtwNgoP3N674+dUR9o5mpPHVlfsdyqr0VWjGeIAYPl6qDMDmxYEwdbbyLCw72x9mZtjp8N9jTZtqszS14IfWPu5P6coUEQN5ZWWMRDDo0KyjLF6254eDPjcemuDth/YvHaqtza0HkBvyTIHVMt8yo2Ccknws9p4CAM77tH2u1rsBj0dyWv6siKtG+S2IR4XpNNsIBP383TZEbx/pwVrzXZsjkS5/qIAae7U9TrRaWnKzyYaND3nZgut7MDss7WEqja/3lIJgBQTz7P6VV0SBZw8s63aW62lAD0kZgMr10IxMMeFP0JRtluqAemVDJ5ykKa+GbL0vVBgYkzNNPpwlx7gtvn0e7LApduUz8cYmEh7j2dl2Z4qtXrcBgJUYGRh+Hvr1MV6HIjjZ/b1Q5q77YHC4GU/SlO+LEdzRlxBtWhzNl1YR6rVbjtgoxj2B2bvHMzmvl15D4uBjolnmDURI/vmwowpA9g3tgxYwMj9sM6k4qLSvkMAsKIBI5ozIKGf9W2OFGkv7F96C0gXcnXjzjnyOvY6H6wMg1nouNV2Pte0YD8nxE1x/CETOL0l5IO1j8ud/UA75bPw3hnIhwwC0wZiNn2EXIFth2JGXbjW4iX32nshFXh7Su1cUwHSJNBbP5tUrKZPAIhlZISlMs44aOl59GBCh3N8P6PTI20tht0Vp7UFuK3Mycs7nAlRA4DUs7YKArEbxbNgZ2d1QMPmnAKCLGMJN3stEhkBC0GcuDIpUCdBPrMPc1wr0mVHPgU+pAWYnol1oJznm7UNG4CqMUuYrnxdulWETSkMdBCkFUjWoSKfQvefwD0jHwMp7j+xHdT+NKEcAjwYF8tMCrh/VbPJ6UtGOcTWco9tv+gvlZk+2/oV3Xann88/3qAvr0ChvVcd/JYNmF5hYq8U9CmzNCDOL41AniiYFL7aEGLBdpqAPUA2KhHroeDhfEOuAfl3J8zP0hkuBa311PQslojgs5Kez8Bsexo6i6Dbn0YKGVVjBIadZ0W6aaO9ahLkM0Ug01VahrHMFAzLB/fxADGht4ffVWNeBuxPguN3L/hf/+q/4E/rA3778o5B7ocNeQuQ14T0bKBuUuQDsH3L7NXyp4jpWXD7RlF+vaL+dsFv/u9XxFvGj//LI27fSPPho/V01Qhcvomo1uu4JY7sDHHxtuP3iuWT4vJdwOvfUBn/9DuKaK0fBPmoWFaKeVVLNJQG5PL7lk+K9b1g+yuPcSKiubBhM6BqYtAtFWSSOn7q8QsYQLuo4vxM4K5YWU6ZYSAS5zYfgOt3DE7PvyPwXA6Wlc70h+Znlj+FXbG+C63tEfd6YP7EdXn4QTFd/bwDbh8odqoJ2I/MVNeZPXhPv1O8/w8XlNvlZ2fDL11/cZCrU+iOiWUL1AIywA75WvsOAj9Q2dJHS0WYQ0/3Ay3QcgqW1801KpFlcNO1IN7o2IY19/pCVdvBzVHyzK1TOybW7ukUIfPE7K05vhIFWnrQV6NA59SCQg3MSu4xWf9Aeyb3Ey1gldSdeldoY3sPNEqwB5vueLTMhFO9HLX37I5na0WIWuvQpgH2GdlFS5TBS2WmsznIVltIGiza9zGgkj7mLQgwp2JzxE3uMsisy+uF+Rq5kQH9wES17JkduBK1qXzWOaCcyI9xlLYFslmZsTUHyalMzaMMJrjVEFJpFCmtMGAFHQV3+qAdNGrW32iJVSHrxgzAL1xN0ThGBA9CXAwo1y74Mf7ODz9T7IYC0e4tGEOgRmlUK6fHN0euaJv/BszYd/CHtjEUp2yj05jc+Td6Mmt2zBFZuAa8d6UHuA0tT2hroCHnEU29F8KS0FE4yLNaTbhiAEeiOcp0mLVl7pt/NQjWiPl695kLe/KhFLk5+B68h8DWL43m3IOMnlFCc3BGpgJavZo2+2qUILFalIkHqiPWDsp5NlsSgKAMdi2robae2IpgAOQASC13z8eCgsF+hvnlM4T+WrFxt61BjY3gAAXnhQ/qvUnfikz90iVrAWokQOLUaa97B+4p8/Z7b7/GvZ8/F0Ox003a97v9eD12vFUDmzyLpW3ONUaIVMDLESyLpCEAR+PTjbWLA8ul/d/uCRMBLKpqS7dNt/eAJjDo2ZhQADUFSke5x1jSwbyWyTVHL64GUpkSc3t5sEylZflHloWK9Hk0AMO/0MUFvcSgrWcff7N/33+qgcmcq3FinWkw3JNIc7zr3GvPvc2W79/7gX+XiyBd+rnm4nkRBIS8xKXpBbQAnmMEs0lvfSWVmcdRkKWxOVStrZadNXfCSYKqgft8ckVd0kYbCCwMfJGpXg23Z7umS2YP1K1Yz9aBLifC2ujMAGpZQi8d8b04cv+eLrWBqgxyO1NJIyCbYv7CQS9LbA5e65lsa6e1lvHv3wqBmbFvts0Z9zQ1tWNT9nWKpWVePXtOZ9rrcXsg62VE8co9uYHAifV6qBbYyuDDZOtuYXu9M3J+jqLDQMsOXI1ZXFFFXSbIFJn4qHRg88m0MTZnog1rZ6byP88maZ9F0Zw+RsFsMJ8mBlhrvyfA+7V3X7OxNVL/twbeb9il9el1Ya1Wo1xcm8DAS0urifrnSQNV3adqjJi2X/A9dQqAPVc1Fp2vCY0UvGtJBOnBLQUuFVIKIIHgWUoEFZ7Nzr9wrPLJsrpXy35GyzAuCnb+4NqGCm4/LKhBmSEcWjBKFnycHoEiWL4ETK9ooqs6ga11KsWtRqC7JgGm/lrOMRo7Ri0pMD0bCD1bX18lkOLj6a0JNTFY9x66ceP765iVrx7IW6xw4dh/+f4B/4/wr7HuCbfrTJGpS4Tsgd1broJ8UpQzAFHISkeizIC+N5XhS4Io8PIvDky8we49kjmgQbEV97cH+1MA5kfQXt1epNHByfJjwF+s/VK6EHS8/kosqKcdxKs0H6RY8CivEZ4dJt0Itp9r83fbWswCvUVItnZNCgq9wubAwc7ZYzAAnsCqff1L9hinM1IBzpNrF8ks2B6FOibW3knUs9/oz2U3x/2I62N6IXU73iz7+0JWrm6/7Ke/vf7iILcsCWklElmP0x3lCJbZZc0FHdCBYo1w3eG9Tl3IIb1awGabejlSsp31vkQC04VIany+QS43tMbpIqQuRkNuNWAU3aHzG5gxnGN3ZqP07IcCIn1TrnPA/tAPJ6DTE50CA0WT22/1ZV6Qnrl5ONLp1E5+rzZhFw8E2qYn6DRaEx2qHvgGNCAhXa6QNUOW1IJ3Nn/vQWidY+tF58Hc/HEFakU5zSgLs+mSSbvdHwwddoritSK97CiHiPWriQ6/N1xXC94T31smYP1GUQ5sXB1vdMT2zTYsa6nRDtxjQJ2nlilg/V+B7JW0a6NsT9YzcPvqyAwF0AK0Moc7B4abKQM1p/14Q/lGkzFHDvCAzOpoXgZ0aHSaAbb82AAxp6kFj0CjETsC3+pGYa8f7MdFwjQI0isXhOQezLavz0Z5vqtNtnsaW5EMdE4AUKdvu6pu8HGvkELKfpkX6Mx2U3X24ImH8X6yPrljht5j9Y0HBwEaD/LQ6lEAd4iMCrbw3/MXBu/p1jO4MMehCTMN9OBG3QMscB+ce3cQ0Ne1q4dKO1V8DOl51APbkIzKpt4jtE6BoJqSjsuARFoA4vQxIvQUXYA4aGVBk236ZWM2N6221i1wCjtgbeo6oGbtsu7YFkOg1+bXg3kHqoR24HX7CEIHWoBytOyk7TUQQQUBrJj9pOX3dMnCwbyuN2A52z5qwXklBVLczgpVGTWQNRFfN0AV9Ti1AJ5jzywM7c/G0gLLuBakl53iaHvptHRwfdTjBGSBvN5YZ6vKNXeYUc4TA6292MFsjJe2h7tjTdp7TQHlEFEO5gxbCQh7CY7OvzSnxLPMpJqZ0zZkPlpdqgUVdIqB40/aa4qHSyP3VSnahGb4c7snr6c3QLUxafx5xr/bZ1oQVI0NUyv08dDOsvsWWWh7bM9YCbbH+7PN2/l5yVCZgNuvC/RQET8lzF+kOzgbEHZ38B2Y4ViPirhi5UC9rphMKBWhKNFe214uRSHrTrNcyETRGFETz7U6047KjJbtVTGasVUjufI+cka93hCOB/5/6JM7/XhFzELBsocTx9I1IYJCtgy5rJhLQXqdbfy0ldRopGDWcmNdTti5b8wG3G6PAfs5IG4V8x+egaooH06oU0Q5RpRDYNtDY77tT1Oj69KWFOnqYiDdH0IQtgHcMsQYXg78OmjR2tRY8O9UVHdAvS5V1PZltXmfpWWtWR8PYGaAkK6097hbbWTy/WfY//1eFfY7zyZ3v8+TIeVpRo2B878V1CS4fUWxyNP3XRyw+UFOU14GVsCu2M8B61NA3IDjD7SlfI4tOzu9VgNuYYwwaWU1gGcO+Wf9ukIX9iZt4pZGY3Ww1mns8VYRV4KU7LfaBdbqklCOXJcNQHaQhjF2A4JFFfkUrbSg70MOJhez966BYqy4XTF9pCClrJnsw5SAeWLE+QNf//D7iu03wO0rwfJRsXzRJtpUTor9fYEcM+QfFjz8A9f8/IXrZH4m867M3T72T1wLh59Mhd8ClvW94PZdgRRBeo0tgOM+QzEv7nOwTKFld22fCTtw/CPPos9/G7E90aEYW1b5POms2N5XlKNgehacf0vfbp+8xIQ2HQqp66LA4UcG5XGdcP1vX/P53L0z+52+kB5++ZVg/4rPMv1E1s36TYGcCvAlYf6Be/aP/4sg7AFP/0Vx/mPF5buA6weWILC3K1oSwHU1amD7JSnA/IV+AVv50J+evnBubt9WaFQcfx+xfFRcfyW4/YsNKIL4HBFXwekPzOBevw64fctHWb7n2EcD22rsolBqbQDF9FLCLghbZDB6ZCIyXemTuWikd9EIBUgv3WcCAOzsaRxvXGdMzETETVAnZf1uAW7vadu3rw1AOCnqsSA+R5z/MbQxUKtfr0k6NToDxz8SnPGuJYcfd4QvV+j23ymTK2P2dMgUUcHRHCjxWgsi/KMgEqxWN4zvU7RDUreKpKQ5h41Iqm8myKU3wa6ViO1wNXECAK0dkG0Y7uiwNqhH3lTNHQKmSe5S7AA6ohQApzM68taMOhvSUlwJEs2fbBLqhsYBPXvZKIyWlfSxaKigOYw1CuOdEPhslc6EzgFqQW5Hpvsh4071W4eJA2ZeuL/NM8R+X/7r0J/dN+07hek2/qCxD1le/56WoW/JLG1CSeJBEEA0XxWyD/fiNHVHpIo2NL89b0Oz+8/unlmYwbmjjI/j8jbARQ+OVEjDExHofX4HyOz5qp659ezr0BqIWYcCxNACEa/Xu/+s+vO58uyaz5f/bLjfpkjsWU/PbCJwjZjoVJlIdyVI4PMqnfYjPm72NeNteCbH4ybt9Kfet9KyYo72GZ2nbf7thsdBNqdAgCYeN4rM2XDfZbXb7+QuWIQ7FVFwR3tsWXD/foWrXrfnQf+dLx4XbWt1PxNMNIdBUAUgVuJ6L0jHhTwKp/BZ0fbGJjLloIYHbG+ff7y15uBKm7vem9roggUIlvZlRvnNOASAikRvP1xp4/7dI+AAEEDJLA9BLrZu77NlopUvt7lUAbSGVlLA2trKTIQDkQCDeafhj5m59sHMesN7f6tAx0cQYfAYgGq06pGd4FkVR6jp1BtY1fY8tL9b9tOnwdaEM4q8LYL3+/aabAKRfX8BcG+HIwvhLjsr0DGb3+ZjeN94+XeFHqi197x9qaLZ3d0abJ/Tbbedc5NC5oI6R5QZVDoGIPb7Gvmz8fv8/PFabcXITkAbI2d6cR908a1gY2OgrpeiNLDEzs+f7wD8eKeDp2R7iIGg43DUCoCgcKO1R5+QXxi72gN5F8LsOiPa5s+zsyGHFhAxM0/ANnpN9uRRX/c9vG7VfY2uxNv3+RYwNiYA31Ntjxv1Nop1O/CMbDWGRxPTUzCgL27nilqkB6rjXq2Wqdnvvz+4lgHQA0HPwvo4AR3YNwp6y2hG1nwCFkD61jwE7s3P+AXqOoDmz/HzhuDCzy+j7XRfSroopu/ToX1Q+8y2FpILT4U2V84g89KH1uFg8OHa8w7zG4YSJgDNL/bXtjPXzc7mspUDCO7PKAfTUyIIGAMjKbuCq5ArbcOVp8VqrsstoCIhroJQKsvfxmsYh56Nt/Pc1aIt2cFzsOvPBKOxN2YR0NlPnsUc/IdWxpOZHIL6/iJtLtnCx/bvhWJN+cT372eC6pr6fTtTZT9btjOiZZnbHFuNbBNBvAHxNfD886VXBJotNmj7Pxpw5GfBWxZbY24k2pgnhsTfv6PFEs6YcEqx+66+DyAHssSupuvijDgLZClixveU2c58j/ACs/Zk1GhfkG0B2Zjdm98dayfu9NE1obUQ83ktC8emmt8oVSD2erf1NjZvvwR973BadI24K4loJTO2v8hm5Q7/jOsvDnLTjy+Q5QSEANkLYnMOhgB3inRcbIGKtYVobUB2Q/Ud6fcArQLz561l835G27PPhwgFVNyBAejkJPYeFXtPXUh5CVuxRuIJdUp3G/D2GBuCEHfFdg64/Kpz6p125c6PtwBKrx050UD+/OmPnd4CAJuhiPFGKe2WVRrO03iriNfdxGUmIqJrhqwFARMDk4nZZamKcJsQDVyQvaAuCZu1Poq30sADKQQSWBOlpPgIM9UUrVBra+iD4fPYx5lBqxWi28LMB2ErjWgbjJByEVcqEOcT57E+m9NTWMOzPRDtijdg3j3LZxncjYFiOU7I75LRGlyZu2L6Uu7mOl0LVIB8ToYGGbXcs+1Cp9/rQ4LRI+pEtDZuirApxpotrdbKyC+ra6XaY6Hqqx8wo4NqgM8drTPGhj4DAPaAuGU4LR1wm+prBqpdWdbpdv47AA0kipbtcNqxzxW649zsew6o7xZoFGxPqQE4ZYHRtSxruXB84o5GsW/ZKf+KYkisoeShcA2EgkZLiquaWBzbKnkdbjsQLFPdEGzPVFrNmVZFsLHga6sF6oK7ReNzNoIaBmh5qyynzzU2w+DEplsFijaxHhUetIhqIJllrs2hp5CJQk8UV4qXYIcOzNFEq3sqxqxVCWhlCf7MPv9hcJBfVyAX6PlAtonZnhTt9FwDsYh4UsSHiD9ae4J8AMrEurD5xQ5h87c1CCFWALoV6FDDpS7QUyskGDKl2sHEiTXp4bYhPF8INjpzAWDqzwM3VaTLMLf2vC1TaXu33DbaureAAtq8Y0qdOi1DmYtnRyAsHWgPYJS3Q7L2KYntumKfl/0saGI07owIGTjp0g91gD9z2x+zKc3JKbQBLznw9dACg12RXnMDJ9sVDCAbzzL0tepgB3uF126vqp3SHMw/DIJyZruecoyt/tCpsB2cMzsTQEUREJBWJdo/9wDJszPlALZNWgrSkrGfInZExNUodGoiKIFIe3LqqjmsjYo7B2bt9s7MgdWkylq6qrLSIc4Pc/cFgmkEDPs6gCZ2pk49bXMj2B+Z6T+8niDXM9sIxftMLnKBPpxQZ/of8WUl++fIs9OZJrpM2J9mhJ1sJtTaBSwdeEgBZbGMfKag1Pw5Y3qlI7p9d0ZYC6bffwJuK/RffItyOJCFdKALFlc6Kh6sOpVVMv0BAMiPC8ohIplPoDEgH5Op/UsLBvxc3t51thVg8xq7My3qZyDB9nhD14fIwPzFAl8PjGoH5dVYZ9NVrVaVDKCQFeF1YOuMth3NTtEDunwma0yy4uF35BaXxVgX5i80sBJowaQD/iEDyxfaWT6SqTN/yQhrQT6nToHeAc0WdAXF+p6Kwa2na2Lwi417eVgZaHkgfPkuWH211R8f2AbLM8pSyEKMTQwPLfPsYA71CCrCWoAoKFNo5WMUweI8EiiweTy6D2P+y6qka7Z5SZB8RHRgW7Xt7YBlsl94QxoE1295lpx/Z9+5CGqiSJEUoB6A9QO4tyRr/3bkeaKJ4kZhk6YfUxbesxRg+YFZxPmZwfXyRTG9VGyPgQCBopUctnIl96VLbxG6fKY4WE30T1pP1MoaTg2C9StF+XpHeXBRUkX9ZuM+9XlBfAkoR8WXfxlRDsDr/7AjPuwon2akZ9vDXgl27E8U+1o+BkyvFekmePgdsD0AL/+SWeTpc0D4MSIfFPtTxfQl4PHvgOlK0URvlekgEksETDxp1taRIliQGjZg+mI1x1OPL2oU1B0mzscM7P7EGtiH/5wQV+BobY3yItgeBNs7YP86A0UwfYlABcWaxPz+XbCfKo5/9YIYK7YtoVbB8bDj4bDixy9nbL8/tz0BQBOVc3Al7MDhM2OW61cB5eD7Bu/7+W8IKu8PfN50EcwXQboozn8qdiZE7BfBtgn2gsbyVFOZB4DtEcgPfP/xe56fFH3j3pW9jewPP6HsV/xzrr88k7vvQKo8dCsglhVoqsBpRJZhi7C2INdRsLBXeN9I+pWW0V0LwmXtKJ4IMOE+sHBxHXOOW+1tdORF4H3zGk0wV8Aofvwc/qkT6zaiISrlYIf9pCbPDaOpCWB9xYJ2NFTskAnZekIZasFaGuk1LtlQjt17xEkPhIqiNUEHWgCkAFx9kDUf6IJeWpgBClb/CgpgDS0w+/gD7eBohfCCTteyLM54OZI6Iqsto2WoaJ0MpbS6AqeOeK9R7yBClE3u0cERBVXA20C4tLgKD9C4d3obkqHw3gNWu9PXBDRaZsvmpQgDGkPVAgQjneSfdd31nR1sEcP4up3b7wUBjVas7NnHezYHfqTrtsCOGTLW7A22PX5PEII+3lJouB+N9xkq9oSkw1gWorr5QITTnVoGucp1eXOHEpA39tCyWIlZUCnaAASZ0Bxtgiu4q7NuLXsG55Q2JujZTUDcHgvumQl/7hrXvgW8DQVuYjL3AS60/85Rz0YXrt2BlrdfLTy02HKjO30aAc2+ntAYDF2ASxBcVAnd2Wv3kgvpuT63bU4VwcEAf7mVWdQohtyigYMuGCFqYA8ASXZTbh8jo2YcQ6D/vDFu6v1rSmVw6k6VATxS6J21bE8ezoPwJlPn31Urayd9/kZG0NssLkCgIqABORoDxDc6pSaBl2iURVrGttV7WW/QxkbxfSjgroavodhvbMbnxAGbUfWdv2/bWgPmIGjgRANrY+gJmT9n2yPz5hdeM4p+ub03Fok9RwMs4fYjLSMplUBO2zvbGmQwoAGQoAhBec6nYPYt/cywGsafPYdnn4B7W/bfAZ0F5r3RY2xACDNsDkj0PX18bnsweFZUQedcAfZhTakzvN58v5rYYMyVvbZNp+OutCRaYN0E2/w5B0DUGQcBjaEQq0I3NEFIqQrsGXpbrTTD3huknX0o/GpV3x9tvxqyghph9cnMctcklv0YglwhuJaPtHOnY1JAhk7veN6pogvmlf56ry9XUajpjzShtQHE4f1JC6C9fGNkzPlYNl/QgZdIHYGUSb1lfWJs/s3ddcfm8H1VW9artwKilkedY/dlhG60T1srlzE7b89UBN6rk2PO15eDbYFqZ3PtYNaYCLi7HHQVWA26Ab1boZ0ttn8Nmdwa+9p0v6VOfV5D7mdnTcLt0mu3q/m1d/dhwPLO8yAfrDb3VhF3Rb2hnbctS520laS12uwJqFGNXqzNh/VMKMC9kwCJWq0s9RbiIi1LnyzI9drj8Wz1ewhWF6qi0MXniK/1Xq+bAmEu0KAsIw2K48OK47Lhp+sEgAyB/ZG1wsevrnh3vuIP63voNUD3PkZ10qa96EKbDMYjXoy6z8SNgX92L/NLxeT9rgMaCCJVWE8aB9BwZomPXKTXsBqzbazBDqBdeimUsyTZKonB//KJwrLlGxNBnQDMFdhDzxwvFGuKF7JaNChOy44lZbyKIteAD6crvjm+4LLO2PWNj6d9bTGLi85KGuZDKoDUz9RR3CqupLTHmzb7qEkpzLsLmX72OS2m8LG6ScvgdjaBNDaobjt0/+fJK//FQS4GlFhGZ6hUo2laL8Bqog1D9ssFNyQo+11mIBlq6dlaqZXZ3uGgl9cbXD1WTwd+XxCMFLd6mFBOE8JaEF8NpU2GftvrdAqoi7SAqyai/PkouB7N+Z8V+Vz6wSdgrZih9tOroc1DA3UismzLIF6MrWqLwobHZfaVtCG4Uyho9Ky26SwRNQDlkKgWHLgQoURCy2II6l6psHyrdkgx8PVsUZ2JehFRq+0Q9foXbznhyo9N0ClIUw9Oq6JmNCEiVzquM7B7E+ekZPEUQF5CQ2zqJLi9Cy1LfvhomQ5rB7Gfhqxt4Viki2fxOT7hyn6KmBN04T2VQ2oHSahs0p4PoQUYjoj6Bl3mYYMDrIec2fG+k+Z2WO7pfO5stjkW2pwfKNt+L3LirwGYiQqB/ZdLpZNuv29CKZ4Bdhp+DGzwHkIPqv33QM8KmXPl9+jAANVYwx2NrSYqQZaJ4mDsUQfkEw8v759Wj5WZ/UtEvHHDTa90OtIFXSSrkskQXqplBxyllS4w1GjmaE5So/h58DAKDmEIdG3D1yQUypIhG14VITOYqksastjdUW9ryDZIfia6g90CkwBE7RlGdQqeOTOJgjIUCxETOwFKpTJ2sCxu2ITjsVsW3IQZwt4p+CPNkMvdAqStQKpCjzMU4HqLwcZGgSAop6mPhzgoZsNhIM5+Ct3pBw+dvLCPn4N4y2TbvmVs75CwUoDoimzaqMjNzvcM8Q5VR9v0xmyk1VyK/8woxdh2hKrQ4wI9BHOwfR82WqnTU63PrdQK3DLvcZ4aW4G6BNJsvy4R9RDh1M46B+yPdJTzwvnbHwT5TMd//aoCrhQraIFgfGW0G3Y6FLCsuAvEAd0R61Gs0SDNruOtO7POnrljayjPQO5NoYF44/7WbDwKNCWUE1/j7JB6oAp9C8DQs83lYOqvt14C5BREXw+NRaFAWBnAamCmJZnTW43qKhUozxPWNUK2ANkEYSMDh5lvU8w3BkcQ0h4x1NyHzXt9/9wJHzP81Wpda5KezcwKGHOoJmH7LgBhEH3sF9lN6cZ70hBI4ywFesvQobVKfTwRa1mNi+72NflcVci2I1x3pEsaWlqhiSBRzZ3PGl/6Z7fAzgB8D+T18QScj/y6L51q57oZSEDIVo8abJ3PgjodbKy4z2yPE+pXMzQSkOcZyD1gfxSjZiryh5127sO9BoQ1QG+WRREgeEDqge2mmL+YoM9K248b16pn3KSSccaAhnakVwFQyW57LbSBCkAV+XHC/hDu1klro3Sz9o0CrF+RZcR2f3IvjgnAFdFHqqOXLzGYk+ZD1RQQtoL5EzOE+Wy2NQjLeU1o2OnLkGpJcaESbB8vvr64l8eN4xGt80MTN3KfUpiJ3t4leO1upz4L8pFt37gX27lsvpSzqpz6i8BuBnWyudi4x6/vmLH2tkb4DPpEQPOR/Xr5mwk4hx5sMf7D9RvS6Y8/VkwvuQEQUgPq7/hv13VYPtEOtkfB5TemHL4zm1gWwfqegUu8wRIvVP9dnwLyYUI+0KdOV8XpDzvireD1bw64nQc6sJX8iNJXK4sB3QWWQeYYJv+OoCylSZWBMIDby4LbywIoUJ4KigD7dwpJFVNQXNYZWCPCJpYh7Wc6Cr/j9p713elWUROwfCR91gXWlo+C5ScqF2djUc3PFfFWkY8B2yOz3NMLkAL9h7II8oNgPyvSq+DwIx/69rWDk2iBoVOeDz+p+fe0iVDQgss6CySLMUm5XvOPE0IWTF/cT+P8be+pdgwAn5+PgCj2ywxkwbYlXPYJX56P9O+G1o8MjK32vRAg+/TrznIla81ZECCLMxiAdqWgXVz5Oes72vt+JnOA7ZD8TMKd8rR/Rp0Vl1/3IB8KHH4QLJ94vsdvvkLdjq32/J+6/vIgd7yGLG1zxj1jtW5EMecZ9d0DvKerv08KSMtauatJCI2GSdqxNT4v7GGqOQOPZ6irElqwjFwY0C0J+RgxqQLXYA6DUaGlQsTFoxwBR6NH0BFSlG/sXtzBsYJtFIFWQd0jPFF811C8oiFhTmmDUsBJCuXg9zPrMV3UZKQtt9o6++KaAiQwC1e8x9nGzbwsAj2mhqiSfju0PlLAOfcl2vc6ypotOKmKakEQijlqqsghNqqIU5aaoA1gaJ5AV20y4zWxkbQm3DWiVhsjPfH+04+K6bm09h0agPLAoDVslhlcK+LNNm/LgIQtA+tG/yEKRWqMLeCNu3dz5sdMmgsXaBCEJgrGMXfHSlSNNpmgU7qjK1MY5v4A8bkCAOw7cL0By9IdfMAyEXTckQuDiBB6Zrba74cAV7cNkhL06QSdE8JlM5TW6h9FIFNCU11tGTEYc8KztbE5hxqZud1PRtF5MGT3QZFPlfW7E53/dMyIqWCdZuiUEG6stXGHY6zVihsVRvmLvg24GExcTXikiXxpo+L9sy4LeOsSGxjhAUS1LGh1ReGBHteUts25EGifOhkc5LYFWUDsmgDFEcuIoO4087XlKKhWb+y1xlKk1fP0tegBPdo90ybePGIhRV+NHtnEbbwWqwzZyTHD5cAYpK3RfELvZbeDNcITs20qASFa0PVnModSCkRMod1ssjFkANqgAY8uTuUKsOG6c/2Ero3QBM+c4r9M/bs8ixdjB3vsPZ4xlGKZ7Sk1xkIDNAIaJd37FEtR1CWwH58j6ZFI8/qB5RPx2xtCrFYPJqiVZS05Tci3hLDaIe1ZE8/Cm4mM5UxmPM2B9xIRz9xo4rkDA+/6w4sJKYX2GSGzZERy7dnMKTYqrAvd5GNsAjxug1JKo59mo5JRRMQdCGlK82FTxEpQOJqYUrDgIexANK882lTF14C62zlVLMjd6MTETZFWbWcWPUxz+m1Ow1bulbCDolGHgwkKOYBxpw7d2UyeqfO2G9WAiW5nfHbPjoSi1o0gcM9dV2Cg5ddjIoixW+mLBdgNkLC9WLbMM2gA0HmPYgwu0wjxIMPm1kFM7BlyXYEUUb56QJ0Twl4QXzd4m0NXDNZAMauwMQtZxWjaE30BnlcUKlrf+WbLZ3c2zvpesX+dIceC9+8uSLEixYIgij/99IT8ZYYUF2/i+1udHDj/k9l83HRo9aXtHAm7Enx2wCLwnAcCws4ze6TIayKV2bN/rcxLGdRjo8Do9mSgtZ3T3kO4z7F06rQDlGo6L4MP5aUM9CF2juUSTKXYsqWFAUKNzKzJREVbr3Gsk60B32pGFdl9AHCrrWsLDADa4X4SxF3Mx6lNGLDOJpQ5sLYIxHXRN6lgc5BgbLiE1natRsH+0IMhVu5oL58aWRwArt8IJqtD9YCkeB39Ljh9D0wvue1FPLf63qkCLJ8r5s87rt/NWD/YXl/6Z+YzwZ906TXfrJElU4w9jQHc2O4ovFwRfr00YVUACKItq+fgu9esltTFk8IuFHAM3Kc0ALIU1CLQl0Rw4FQQzxnTnPHufEVVwXWbsO0JsoslZRT5YACQwsBr+kV6UwDcl6YXRQpo6uPzs2L+wqTAfqZPNT/D2izSN8BVsRi4IcqkAqyMJV1Jx66T4PqdjZ3ZDv0HZoznZ9rXNYRG4+Z66hn8YAr16aKYPzOeSK9ct+c/VqTXgk//44zb13zvfpm45p4Twi7YBPgiinpJ7Imd0QEkDgFN1Ob08lcV9VDZTumLgXjm15eZYxmvBCKc1g8Bfc5g1PiZcUG6cAz2swfuaIwgyQbYfVWBpMA5A0ERbwccPpo/+3hmj+b/LkFu68UJYCf6yZHhAdfEpyyDNVLa2rX314g58V6H5X0yYUqSjvhLCPzMNfN3XjOZvIURFRxR0TIgfuVzAsKE/cx+ZF672Q5RawUCFcSl4Hy+IYhi3cllryWg1oBc+VkhA8EavYedyAcqTLHVVtFwKLes1+hnmkOsfuC6MwsLSI3qGW+G8rb6G/O8Boeefcg69cUD+XIMVrdCJ0Nq6MG18HAI2gMRqdqcf6fD+f3ETZuB1wRUpzooEK98j6OPwWs6G5LL19VZKEluw0R1TKvnyexbnB8mHla30sZHwuAQDaJCxRzGkdrGrAB6PVIE1MxPjVK7BiBsEadDorM4OGjtKmXI/vgCHzKLKUGPB6tj7OANVCB7ZsBsCtEAWtG86NSC3PYeo3/KbYf3Bb27p0aDGqJKkS7QMrQiaLXJhpiNPc/Kojw8TgWSFGkukFCxLBlBFHlPKFtFTZG0ZMsG+tXrBwGntzQjQA/s/BwGuuPqtNr+Hns9TJglEF211Ov9d7rNZ/SAsWqrvSWFL7TnB/qh3NZUAbNL433r3eP1r7UAxzNb6eIHOQMH74/Hlh7aEH/P4gZ3yN4Et3eX+jgpBELhIaA74OMat7YpZQ6dqjj1PUwTsRNXLIQqggXhITOADs6mUb3fiz2YLdav2NvBvKlPb72XK4Y6S8v65gIXy/K2WppiA39kL2j9jm1vh/U5Zxa9At6uy4NbEbJ6TECm0ZcMrGwU9UQw0Nsf5APnaP2g2D8UiPV6DKFiLxGqRLRLCc3hAWy/S4pqRuVzCtjf6g67NuaAZ25dKZ0Ah/TWYqMNv517d5BNJf+ehmwva0I30s4TlgQpypEMH+9l6CqVnjECCIyGUntdoAUgCEMLOWVZjSioMK4AXqTRR70OK14twL2xtZ8m25ttn1LbHz27JQFmM2Zmwzj7GuPPB0Ve66G7nwK2swMW9kwucOLnqq/RKMgL4D2p9Wb885TubLhRzFfWgmsi8Oh9z3U21sTi3Roq5EZ0NxrlnkFLQkCG3GyNOBX9tECXCbKFtu/flUutOzBF6GzZEsveAgz46xzYSz4IFaUDsCeqwO/nobernXP5xMBsf18QHzLSlLFMGTHUZtYhViDVHnRIz1A5C0IE0CqtZ3QLMtXOcDvH6xwAC4pIPdHGwKJStfZzUsncgqIJD3Jf7u+vE4O9ZgeD8BqZWT7v/hqzacs0E2CqDejRRCXzaj5DWCsDINiZuHr2FFit7jNdBHqjMqxOZC8tP9m6NmZO3HqAG291PJoIRlk7ynbvh4BqwXraK0o1/jjcbq2Mo5q9uy1HD7aBOmsTdeK+3wPMYCVrrZ/4myu9AnKijQRbt243Urk/rh9meG/jMpHNSGV1953YWWA7hyYuub4T7Ecy6OZPAekCLB85l+Vg+2dEq/l2UOP1Xz8g7GesT6ElH8oCSJYW4LsQWVm8lRDbyHDuwPU9cW8WACEQbCnJuhSIH1mCvQTkEnF5WVC3iLCTSlwTUI8VsguWH6MlZPi97MurzX9kbbWBpdlAEQtKocD6PmB7mtkf2yjb+ym0Z2BADOzvK2oMVKS3MYnr4OfXzhjIi0As0+8q//kopmZONqSzFFUE6ZXPzfhFcP0QkE7CmuBThU6V9O4Suh9+iVjrAbIH7GdXLmbddxP680yrCMINQA1YfhIcv6/YngS3r6SLW4HjtFvcE1fttiys4dbV4xmb3zMBg5YctO+Uyn7LZRGkbzcclx23eOC9BUH+9hF5T8Df/aLZ36+B//8v+acvTQmtHrAU6OuVcuZHoxHvpJtpzkAtJLS7E+SHfy6kcnomOAYAk21OGz/zfEQ9PQJBIamLoTQ68zL3ANHQ47ATQXMhCkfSt/cJ+zE0gQ3PumrioqqztlqWac74v/7qt5ik4o+3R1zzhDUn5BrwUzhjvZCOe/jeRI02bugUg0HftIf6EtYv9t9pYDa1Uc6sn96YcWGglxF2HoDbU+qBsHTDGANgRz0BGpnTKaBsMD2iuHG3w8JqyEiz5mHFbA0arVuU0uyheHP0APHeX2pS49lk4m+99nIMKEjrCaxd0ArPdDS6clbsDwnbU0TcFMdrbm16HPDwnpDu8FYT38jLsECn4bCYFKLSFlNrSv5EB+7df54Qc26Uwrsgd8use/DsqQerHr3NE2SeaNuNBuonXaGD759ZSne+KlkFcHEUU5rVskGeXzv9eaR/+ueI7+YWyDrdz2jK7JmKFvCWWUh/mYFyYmuA+phxfH/DlApOy4YoihQqRBS5BFyzQJWfPSpWjkGXU8aaOJjVlbv4E4AmeOY2cqe+Hiyo201tN053tYraFpG0w18KIOP8+H4kMGE277FpX7FLV/0EEBr9bgjejF431jTzM6U57iED82cegOmK+x7H7gQVbuhiJQQudPVWwdfvNyisnr5HwqzbE9q413KaE1+Mguv1pt7iwWlDdRraxGw9QKGIElCOE8I0k15fyp2jpnEIaqMJA1Zz8FU7e8BqJaUoM1U/ywxbEOWvnycLiivk5nxnC4iOMzQEsjSM0i+rCRHOFBQkZV+J7Dot30Gd2LOUTXTniY789kSWSfl6x9NXrzjOO747vwAAnrcFe4l4lgW3dUIZUEd38lSYPZmKNiaOM0Dc3plhMhEao53LXn7GLKhL6uu2OTZ9f29CPB68/XxEW4DfWT9ADYJyNrbGwvsO5hRBpGVWji8UeAw7M4+arEd5ZIAQBAhbQJwFuQTS5KI0B9WBLAb8DHqml4K4VjqD1vOUwIrX0NMGpGrbr6HastIqLr5jz5wVoTBFtVspzvYQsL138MWCumN31FvtdAFqMJaKm9jLK2SeIacj7rsmBOC1kGGmExAngu/e2umQUB/mtv7CagFxMSquKsqHxyakFOqVPoz5O/XxhO3djHiLdLI8AxwDGWuXG7DMBO4zs5/qtO0lIB8isrERXA359sFoyZNltmL3VepjRjgUHA87zocNc8p4mOi1r4X+SowVMrEDQznwfSEbsK1oonVQ0o7HLGRNgrBVxFuBTgHbO/of7OUOy+CSjeIt0hqbBtwPObDc/6oBc67tkA8B+cQXey9Xt7myCG5fc8E4WE7wlkB6upkg0xeuTxeb8zWSbhXzpx2oirjFpjLNtiYTrt/R35o/8/PLkRnI+TPw+NvcGHesu+T3p2tFvDB7rzPBiP2cWr9p9zH2B7ZFOv6wIb5sCIcJ4o5H1QZYeW01DuDYGVDFc9rPLWlzLlmYOS0+Fl5/bMkkuw6fFHkiCDK9Kg4fGeBtDwyg9gdSqAE/O0l5r4m1rDUx+E/X2IJVDcD1W4KI8xfg/DuKAx1+JO358m1COSg/+wBMrzwz6wT89O9iY/mFDOwPyvY8VVg/WoH0LEYHpihUehE8/Rc+z/O/Zgs/XSrU1P/TVOijzJHgVlAyLUvAlhO2LQE/LphuDrgCdakIDzvqy4TjHxXzsxq7TeBt40b/PB89myxm9xxLFeD1NwH5xLHw51zf9z1eA7B9KDj++gW3dzOezzPia8DT37Hna5ml+6IGQOSztMy2ZKA8ALfvCsKN5+moypwupDfnI+dFjfouVXD7tkKeNoSomKaCvEdonRA2wWzsi3JU5K8ywiVi+c/A4WPB5ZuI/UkIJFQFAliaeRU8/mPBw9+94NP//IjnfwXzA3j7+7n7MfHmz8+zgC2pgDJ5NhbYvmIp6PQxUuhtUtTEHs2HHync9dXTK/7Nux/w/0ofMD8X1Fnw8i8OyBnA//Pn5+Tb6y/P5Lqj7Sq+Xo9otOEmtpMSHfk7KmdXrG0BhStpVoWYkpOYo9QEGFLsGZexXiyYYyrSatqcEkExBm5G3ifM0e7G+TeaipoSGtVVFZc8YzaJ5CQVF6M/lBI6qBjM4UUPHpsogW3srf7AMrkjNcB7yjUVTpWfMTpbnY5TjaQHAO5kQ/SOGgql0bcMjSGbTajGhIGqGrI9CcohIhS1IOkNuurP5ehtplpy3YYM7m0QHnBV3uHZRb2tkLbnEqes+wZtZuJtOfjsgb0TC4Ncz+SOWbu7wD9IbxXgqJcFtwQR0DMLQlBBYsSdCufdBAwgzJhF9Q8Q6TWIMWJUOWxZXLd/z4qL8LXNhgdUNrz5nreBt1rdWRT+EVgwJmg08yGjO4I6NdLGJSlSKphTwSExg1tVULwNgY+PO6HD1bIoHhz672v/W4LC21u1z5NBbEXMzv2ex3SnBUmeoSGpwAPQbiPdZqQJYdQh6HGRtGq2G4rhKgHMDLZM7lAbLB2UcZqd97FugQYEIejgaKtljHs9Zhsz2wPeipv5Z4nTJAd76sG1B9v2kuDZebnbw6rtX+yPaUMzWRYg+HMPNuRUeun0Yv9u39fF68H9V7XTtr3mstWBhd7D8o6ZAPAzXDfh7fdgCPw9gBYhO6eJVEVS6q2faW8r48/u6rt4s7+Dgh+pIoaKFCoOkRHQMxYU5UGulsUcaWFiNuDZJ7ydy3HInJ0gZqcVaL3bh+d8m8VtczqFDhwBDaFvYm3j6/2zjIre1JHtb46BUUh9WM3OGghqe1GzfaE9UC0WCEktyzAiIPwrZGcsdBVdibaOHeSyPaGJdg37WFs/41wL+h5nZ6CzE1oqUu5BS01qwbSdf/n+OesUEH0/lT4WAEihrrifn3FO1Z7LFJrEA5Lag/Z2Vgto+ymSiWadJtK1QN6sHWil7R4WaMvaD6J65sO4mrTa/9uatrEIRVB/hnhwP2vfZ5uPiCKIIsaKkBRFHJTr2Xk151qK27taJj30rxh1Hmzv91ZlzgBwejLMFoLCgGyOk7PMemmCNqrn3d5o9zMyGXxdOJXSKerFGFM1GZU1omXqPShlyYrt0fb/amcKFZedmQHobuSSfRBKjLYXGEV5VH12qr3PcYAxZGxOWvJhilYyZw8T3faGx1YCNX3/omBRnaTVPbpgU52AmoEmFjqUC7bPawJ+ZkfGuAiZX0ZRSU8CoDGfqNUi973A0W3Q96qwE5SIa1/X1Pngc0bro+x7MdDf6+dyn9zBBvz8zWZXRmWtM6BLBaaKEBQh1m7nXoICQAtZINuWkPfI58jDvcPcvKBNY4PjZfvqzPu5a3lk45CPAIS0eh+rO3/f7tOpt6xhD7i+LNA9tOlmyRywH00zxhIzfZ14Xbz7q2YLqSdqRjaH+32AU4YZLG+3BERFzQGaA6JyPL1FjyYAVopJwbrQ5pvsIGn/b4mOFPreV+n7iwL7o6I4m2zqWXCoNIDSaflNGBNKQGXuwmbV6r01Ap8uR/xX+RqSTWTP/tR73t2fvf7yIDeIZVR3bvQfnkjF/PSFC26eSC89HVAfjswKXIkw1jkRJW2UJWGQazUGsmfSlt89woUeVIRUIJH71gp2sbYm4PbNjP3EFgnTS6Ho0XsikhRpMAdxokFu79UCXDu8ThnTcYeq4D/8+C2iKB4PK6ZY8PH5hPXTAbIG1pxm6W1XjJ5L5UpYsFd7JlcEkivSXtHommoZAKvFqhbAeQ9fUpAD8ikhn63RtiGgerCNequttsKRuXhlZnR/iCz4zpTmLgsbM9fJULobN9M6CfYq2E9zQ+xbHc3GQz9dDek2JzPeKtKlYHoJmF9Cd0iAXicj6Fksc/yDb1qJVBjWNBa48h6mgFAU8xd+XzlEFETSe/37A5G39V1kjYkJfLWG0gvV9Wo05VyhIAfpvKQkKXwzBfIxYj6fyQr42Upx9kAGMFCMvbWKgTOamHnlvBpFbtuhuUAS+L6ULJiW1ttOimV/U4SEI9fV2HpIrW3CmGkze6/H1O1kCh24maXZu28q+UQkuJwrdFJMhx3nZcMhZXx7fEFVwR9en3DdE2plDWcBaTVek+vZR69r9gw8fycW2FqQlMGa08sGVFh2RFq2i4JwpD3pnPqeYoI9+ZzunJ1uU4JqKLjXqrljmA+h1YG4U+GOT7oqplewifkWoE5brlQvlr00xxtVEQFIDghbRbqEfpgATTGalOHQ9iKnzgWrZ1UD6IJniZzB4mOWAvJsLcG8PCNYNsSo14AHmNJaTbgydlmIiNeJ6Lsmc8SqNOeF+48wEWoUVQQKPt0JrIUADUSEJBfgy2vflz3wLVw7LXCx7IEurOFmNra0ewaUZ0JVo4YaM8FLS8Z6TS89MZVbDwK8DtIz2rTrYPTUbuf5aDRlo2+WI1H/mOgMTbHgw3xBrhH/sH/Ay23Btpoj5D0eHcRTyxRdqzmF9swGLurUHVuvT3QhKbkwY63zBD2mBr7eXR50JortAP2scPXz6VoxvTJjVJZexqKBdn774CwOd0j8TJPmZE0Xq1WegpXXKOSQGjtIBShxModfISYUlW5Glx2CLZ5xPFMl27nldhyAUEHxLEU7n73eVUo1mp1ltS2Q72eG7+mc1/0UWmusdGWbmu2d2fnBKNKR57Vktjsh5ZjMje39jPPDuQOHA3g5fbxC4kIhtJFlY7oL4boDpSI4lRm2P9kepapN8K7OEfVhoQ0Erpvw6Rny/U+Q4wH16QSoIn65AarI708o35xaKYlUIL3skKpsn2M15dtZelBhWeuwmR97A7wFnmfyag7YAFytj2NYWGYVZEepAZvVdr9cEqYXExS80ZdA4NqZLop0YdC5vk/GWKHabFkCtseIJjyliu2Rc5RuAryaU2vt0+ZPO+tzH1i7nw+C9V24o1lOr4rJWtFNF23PWqNAD30duDjVCOBCuM63J7IN5teIuFY6wBGYVsX8JXOtnCLLrC4ZMResHxZs5jccftIOTNm+nl697R1oD1ZynS4F4Vba2VQjxRw1sF1PfOnspPFiZj52e0d/hmK0VGbtqGTd7PyhAnNFnityoa8ZbwESmHmss4EKxiCTXCC114cz8cGgaT+Drbw2xfLZymnsDLt8HbG9M72XFa0loLd73B/F2Hd2/mcAGVg+Vpx/v8OZh/s54uVfAvmp4PSPEac/KMoBWD9IC4rDDnjrGIrfBYRdMD130AXgfSwb72l/sJrZDzsOX7HcJARtAS4A4AjUKtguM/QWUdeI7ZIgOVi2vydAsgrSlKFn4PrrhP1RMH9mtnt9z/EPO+nqrqAfdmHm+Wul3oFyDcWbNqGlUBR7FGxPvK/DDxQBPP+joP7xgHwA9nfWhmrjZ9++Cbj+hv6YHgpQBXJlT9zDDwHTswFFM/vOOx3eldA1AdsjmUs1UQj2q3+/4/jbV3z8Pz/h8z4NNkcGXzkwA7x8UmuVFQEFrr8S3L6Wzvqy1zo4IAXYHgKuvz4inyyAvwqe/ivt6OO/E+SninwSyC4oB8X2bQFEMf2YkK4U4CoPVrK0CjABy9+84OG44rLO2NaE/SEhHyeEDJR//4Q/5Scsn4Hbh9gSVeUNNv/nrv9jhKfUs22ADvWymjMpnF7DNQVjsdmIx4HOZlkwjTyoxD63Zcf8e4BOcULo4kCGymoLCqUFdh3ZtUbDqdMevQVOWRRI2hAjb5tQq+B2mxCjYkoFVQU5R8geIPv9omyIo/Y/nXbTUf5gm5mPG9xJMkdJQu2bpPIAQujUPMAQR/86309V74J+z5qOr/GMXJM13xjsez9QR8yhggRtaBOzVNpqlry/n9jPXD3Ws27NIVY/mCwA8FobhT0rWtakXUYJkUxKNClQFvCPz9vQSTs0FWjN2W0+qsnh++aGBFTRls102xFz4sRrzH3sx6tWghdvf/72/yLNqXvbB/POpkc653i9+Z2idkQ2SM9AAH0NDQ7jSFGuLcPnWVyjsgYYUwHmCPHzqwpyDdhLRK3CPtMD4t/sY7ClNp/+iGJiIGb3TXTJ/x3RfjeOWduI24Ysra7QxXNG0MQRbS1gHWvLcNrr3fkXtEwnZet7vU1QE6/Q/kxatbeoKYpQrb1Zre0wJ+XS5qWG+2cfKdvDc93RV4c5bywFf/2bbG6z9xbgoKG+bY6drZB6kOvIeA2A7B0ppvieZRvk3vlvc+GXC6VJatkRgiz29/hvoO1VDnLwAYcMg96PVfv9G0aO17y3oNbEecYx672wLXvp+/vU1z3VZXlu1BpIa9OACqvXygGlBKjZuGfqG/vGs/NjBrqN05u/7d/ai8LsOdHncZz3wdn1vSgY+8lFpdTX+/ge+1Ot5q1lNgNMYE9Rd4IhEdrXaBs3G14HZSwLLUYxlqxGYWVtrBgDyrOoYVdTS36jK4E+ZmzL5chubHtCuyxQb+DncPaMKrie2WgZkiE772wrV0avCMYUYLqvToLWPujttWcgzGj9hsdsKjDYNrs+8Oz9+Wc1xXQT0JIUeUaUQiHCEIB64oubUrnpR1gmMuzKrJ6dlS0ItGcfM/wjICUBYP206SUUQM2mtxCx14gorGP3rIfv8+1cN/Eat8OWUcewjwb6Bm3PzF252886iA4ZOuHZUpVAh++HTrdNPUNfV/MX1JIDw/NqkFZj2W1jOMv9rJuBarRd6kZwz5ACim+mAF3Yriup7cMyZMu89+9oB/66Zg9uhyyz0eTiTNJp2YqmxH7XulEATNJq4+9aaflzeuBu9+H+GVJlhtI7AEhAzcwW19l8uWFf/Jl+gt17K9GazWbKwMJ44796G6C0MkObrVbWs/3j+c+2OYWdO2bzpQ8KPRYAEWnVRgHmWPN+3GdzW/SEUMtaBvdf+Zo6Wy3yUjFPuU0JwH2dpqgt9+D11xAB7N+NBWDj4Toy5cBPSq8dEGe/aDc6uzefr6Wi5tDLgKyjQl8T6JlPe2+6KXDjL/fHYT/271sIZqRjpu5PpuOibQ3e25MRI9q8IA1j5vXpL1dM18dGGxalX1gn7TuxjYWzGcqskESFaFhJZWutWMw/sn0LQBMhTK2rgAGCwUQXJwBTBYJynAUop0r72APiLaAGYEoF7w435BKw7xEhVdSloopg/hhM0BODb/fG7v+J6y8OcmXdKKAQiWCK1+BajaKcT9BlYlbk0wVIEfW0wBvChVuGrDs/x53/EJgVOAKyZshts0CJTr/kwn1vStzARNg7d6iTTLfaDsdyCI3W5enyOo8PgWZ1ku2w0YR158YS54qSge+f3wGFv0eqkDUyw7UD07Mh3CbrToU4GoB8okOcj5EopwaqChoNQ6oCW7H6QzBogSm2WdCuMzem9FqIip5Ca1PkKHs+3x/C1SjJ+ylYHR9+Vm+wPyq2J6q6paspu73UhlwCuFNT9EyTZ5W4AZDCG8xRLUcKp8StQvaKOsd2bzLQ2KDa1BzHGjOfw+ZsWrDd6tjgDhIPovmFFE2ivrapXO6L58up3jlF2AWyBm74m9GOZoFai4fm5LTBZA3InXM/OuYre4aSlm9Z3cgTQeaJP/d+oDECibu+3LYhkLADOtLRbSJsMVAIxdZAU7SNgnKemnIj6++YAWE7LLSm5O4Ex6sgRLB1VhBslwnf10dIUPwuvIMqsN0maA7ALSDcAqYLhQ0c7PB5dCeAm/0wX62muzIzCqAeUhvHcOtBuyhfx8DbnN45oEzBWA0W5Nrcl8gd3hkGAFobMK9do4PM/+ejHVh+WLqTLNIUzudnQG4UOquINvaV9ryRcaFLRPXsYva9wlp1Wd2tG2era7c6Y7enBjS5wJb1cvVxYDscyxSNfpD6ASTNpgE+q9fiOs1HZ6NyGZ2rVkHdIlsGIKFeuR9yMAt03aCD6qzPEb9YgGXGHRjj87/t1hKrQK9syt60Evy9DtA4KDMGvXVQ0n9DscOUGNhF4dniAOUhtHGuk2B7cAEuG4tDF/pw5UfZBagBWSZ8zgHPL0f8/uMTSRhrohCH2Xm8SVNRTTdtIitltn18taDX68uNTQKAAK7C6soZ9HjNZWt55IylQoZDCMxEhgxTKLZg11kL5pjuD6nZgK+3UQiQpTiwshvWNHF/F+hNsHz28pHag1MrESqn1O4pehAGOsJaBAjDOksOsoLCQ7U7yFBzrPZhLu08LktEXZgpaKCr37sFCNSzKFRRnz17LG38fW7diWsgjv8JZvtVIDfuVWFTqNkY6/67netx5pm73YB5Ao4zWrsfAPVk9bLFggYHjNUCeFWE24b0g1HSU2ccIM204acHxkZ7bnatURCuGYetoBwn7E+JTn8MdNI3BtWsG+2ZJ44Zmr171qYcLbkQeYbqLWLNC9Y44+Xl0OZGVRCs/ErW0NqAuCCfO+miaO1vknVZIDXWMs7W8ideaStTFLaPuXYmWeuRW2ov0aik/1K0T1tLPw82GVhx75yu3CNa2YGda3UBbl+TlZVe6Kv4s7sWB6zsKlmbG6nuU5ndTrTbuFYsn4zxNI3OsloQzvsrC6PpJuKWJoSHdJeRTdcK1ukWxMuOcppQTHjIg2YpQNor9nPE9hDsOXkm7Ccxn5QgXT6DTKtkIFkOkKiM0KdKpehCnYy6CrPp744Il536CEOZ1PpBsDwrDj8x87u+972F83p7HxuzMb1a0Hrj7/YjVaIB1pqWhUJGvs9oAKYvgul1bkml/cjspl5ia0FFn5CvzyfOeTHxqLAJfRJriQMFitW/xpVCTnUB1g8VulQczhvmVPByXbDdEuoaIa884PWhQFJF+DRh/mi1pk983/ZU6Fr9acb8STB9CSjbGZgU5bGgPAFlTtheSen29VaO3fa5TugvhlUwvZCF8PDbDel5w/rtAZdvaBseWMKDwtmFEPncRQS3bwT7LSC9Ao//KWE/Uy8obIKH31Pj5/YNcPkr7rPzH6a277k+iLeV0giknXXBUMVP/26B/s+/Yba88rXx5uKA9I32R8XtO/aynT7zGePGtcr9wYDP4oEtP2t6VSw/7Zi+CB7/kQJ5168CyhIYP3zP+lpXiz79doYG4PYtuxuETSC3iefsqwBB8KLv8GV5RHyNbMO4APWpQGfF7VcFsgue/lPA6YeC7THg+m3475jJ3TPE21LUCpigjlj9rR4XKhBeVsjlBj3M0KcD0//XTMTTW6MAkBpI0zwtPGT2Yt8RSA9z5x9gwBwHx98RPGVgFkV73ZKp7Doi7RS+O6oeQCSwwjwHocJmVGgRhE8JcRPksyERgibCMVm/QJfdL7C6V8tehb0CR2tTYMiz36taxkKAnrUVEGUNJtghbqyV1N2h9sqzVuyH2Z0zTN1JqBM38zp3BBMwp2ihoAwRPhiVQltdoxRFWFlf5EGLZz97TV2lanEKaC0KMgVGXA2W9mJ/t2CJDh8AC+L884ZJUfQM24CAsU4b7Kdn1GVNgFgfu5wtQDLnX+aKtFBafr3NKGUi+m1jXyPo8Dh1+C7IVQtw3/zOMi1qtGT6lnJftxsjM9mbsRs8mAXYlzezbRHbZsUePNfuQHnvXaqpBtQjWwi5KIgjwhQisvk+iEmzo6GYcefHhp10S10jdm+NZX9LZjARX0nzCSvYA087GDGyFJrqdu5z6gGubBkaGKRrDIjXvbcTMaCrZfxBm6rB66wHhHvMaIodniZRP7YBa/XG7hAuYO1xMcd9QEW5XgC99PFDAlCMeFArgvVprWGmNkCFZZ26bVBdeai/Rnci7tgVXpPaMnyRzq1nv4BOTXbnEGj2MAY3Kmi9HRuTIQJIBOXmZcdh3rGXiDVOKDmg7gFZpIFfKBXYd2jtPTvb/XsLuLHnswFuUkFHatub3beyFafsO+Ao5lT90ue3oOF+rfkaUiS48Fhv80WbK5M5hqlnGD3Q4/5q9mS9/6oEaBUUBWomwqmmlh4vAfEqrd1Zc/pNN8F7A3ZWAp3nitAAty5AZpmeKAAi29h4rbit+dCy37bPFX5XU8z2vVLRwLdR22HUHWgZrmQZXPsDFchRIZat4D47CGMVnivF2j+lPTdV43b+qJJ55bhFZqBeIx0aRGnMnJHN85axoCk05XvadgfLulouQSPMsdu0B3eDZkbPtBto4kGugBmD3cCGaqyPPKC1OvSmnSPkskMvN379PKGVn4igzgnlmChguYG0SOuJKyYOKJcb9PXC8panB/ooyfrtWp/PsBXIy5X2nCbcCayBAIYbvQbrMbx3YGEcx0blnYBsZQl1UU9c87l3ATIBBYX/nOumHCrkQIex0fLN3uNO4UtvoxgysHwmJZ0sCu5zcTUAcC9AVaRbQC0B8VoQbjukxBZQjoCwlwSlVZl1ndH7Nzt7QYBQeZ6jAhoDRiZPmSlEpLNCdlPK9eyzrdM6WY/orQvEiWpjsKj5GCFXTK+mOyIRDk62+2ljLXd22mpWizbQN3irpZV9k0X1vp+vCqbnjLhXlo4duJbSTVvA5/1weWYpdCkE43MwwE8REvPxsmTUGlCKAELl6XKaOsA01IHvZ8H5T4rDDzsumBpt2Gvlne4dVwZBwfY+wEs+BOminUpumcB85JjmM6n1TQ/AFZ9XVwL2PczPKAPzjgRj8SVheg6tdhVgNtGzq7KzvA4fNkxzxnHZkGJBKYJ6TZBrxPIjx3oNgC6C6cK2PhsE+Yn7wtOHC5Yp44fnr4CPDKSmV0E+CdZvNsyHHassqMfINkMrx6kYETWufa1IJnU5rmyfOP/xFeGHjyinv4b+iuvZx1C02yYDe9vHYEJXM3u/Ti+K9V0AhFnLx98WthD6NiG/z0ifEpYfpdmLiz35mtVAUO/wiX77x38L7B8qpk8B8yfzk2+2IQj9wvVrRfjVDfmnBYfvo5UvaAtqSUiif65JPCGOtFaklw3hukNer8jfvcPzXz9if+A5OX/p62d6AZ7+PkMjsD8l7O8qwmtAuvaWi1xPFOVLr0xQrR8E+ZF2jydmtyELlk878mEhjfqtU/Fnrr88yM10dqRw08NkvASva9szD3UAepiJbg/iIfSAfPQi9Lig9Q21jdQd/J8h/tWCLqsBlECn3w/VcpC2+WsgYuZoRLyhSVjfORVJ279RAdkE2Ca4MmOdFGEVyHVqKfTWBzYKqhXcM3vEjWF/SqgLs0bTS1fdFGX9U0O3h8OBjp49lyi8bUqTZm/0TTRKhKu8hjxQggEuMluguVFatQsvFbk78JxeFDJ3Q6f3wMQT3gp03AnZDJcm6b09DdFsggWDczI6VmMwI0EghtJ6ts4br7vgzJjBKzOa2uwOQT53x88lJGOqOC07D4kpGV1E2xhg25tDf0c1ThHi0ZPX07Yg1udaLKD1g9DbPVngUiukpGbffEbWQLYA17NlA4AwUpBESCH2ufXaxFZjnrxXKjey4s26k9scGiVMduFOsfs6sQypOUHRA1xX3TbHqIEOHoAaeFSsnxvHqSXe7dkVUi0QHH8x2JB6uYK9niIsDvCYTQ+U9Toi8EaxUxG0llEmTlMjjNrH7EA+EW1evlSuX29rtFcG58X2noGOK3tBcFZF6+NpgeAUWyaPY6wNxEEQ1LFFFEAgzy6n/zcBqug2bYJbBhDVqQvx7A/MMOQTUE5drEEDQTEISy1iUJTK/0tU1KWgKoFBVdtTYoSMdOVKalGzTxf7s0zsnahUsCDveCBwY/XlTVAIAGLqjpfFG6MYTwNxhv/rlNj/3NsU2X3Ezeqfl0GQSMz+bGlW11TwfaaArI1dWjDQ6Hl+7NwMefcpCgYEuqhR7WUYZFxLe60DlG2M2jja37kimOhc8edLQtphGuj4YRxjD+bNLjyzq0rqqa3zOgxbTXRupAiC1aV6jTEHEB1MsTmUUhlQgM+u5vwiU/H9Tl0caAEuBK0O38GcRmMXNNbGqCYet/497RyTfm91CoCxUhyUrjPuAt5RLR8AQatJITMzaVp5sJQjEdhyCAxAczZAZqhV3K0rw/kIXWZUq7WV5IwaNDBAXBDSNQNW7sOwXtGYJmZpDZiUrfKcdFGpMOwXcVhbmdlPshCsj6ohcC4MqdFEfPzMtz8C8Mzah3VgdifVXjdxPtjeUIAaoJaFIkCE3rblxdq8oO/1PSPLSfNgkTTKwH3FwJM6BdR3hz6+lYmPisSa5WH/aurGA204QCCtuwTHYD8GZvAnaZoaYQ3QaoDQgc/qDrPX8kqpCHu1e5oBVUzPpdleOcRmi6xLp226TcergVSCBii12lajbzdRwqGUoZwS6iGSsefyEva+/BCRNVq2mT/bz2ThORjt7d80gICzoJdbpNqo5u0ANyaIVPZXFlX6z1M/a0ZQN2QYI0ubeM/2xPrT6ZmBmw5n0X52NW8DzRfPAguWjwJUY8wFnwfeS3ph7XA+Aq+/omp2WNGdBlHsGlCPZJZNz3z27Qmos7V6O2bkZ9LPylGxHPdGU173hLJHyI21qftTtbnSxrT0vVF22uptnSimqUOCS5gJnf5+QY0L5IFZ3+ljwuPfm61Y66ByAKsOFFh+YiDq+jH7NyekQ0I5RLbJEZjvbH6Il9SJ2dze92XWvnMevK2jRuDLv2Tt+/aBwFQ5MLZxajG0M5jiVXH4iZ+1We1yvAnwibXOdfY9k3tucXZbEeQvM8JmfYknft4oauXAlla0M/fybUQ+PNh6+wpUadcW3ALA+o73Xg4B6crJKIfuFPp3ZGtvVU700/ZH2BzV9loXhWS3hIlZ6wsgbwhof+76i4NczRlaGY7LspDeNlyy7Txg5gl6PlAoxyXmrbbN1ZN1SqgPBxrJZYcU495Pidlbp/24I+X9Q2MgbXkCdJrYV+1IYY64Wx+/QBpInYHpC4PcfGTvKgCAF3HP2umse0BcBdMXLu7tQ0VdFNNPAfNnaQbnG6BGo54c0BQoIcDtXUAoAec/7Jg/rqhzNIM1urZl7LzmJ3imy51/AbN3JkLjdEx1J8423GABLpXutB1SLCyXod7BNq3ZHVkac/A/xZFktfvpCKdO0eq2iGrzBUM0PVw1CmC9PAFzesSCQdUuzDP1NkAY/7bvdAquBiLB7X7MWSom218O0grly4HCDfVg4iSRAcA8ZTwdbqgKrPMElQDdBWoZH7ltdFjmCXe95yY7gUrtzvyghCxAd9bdKawVotI/q1QqjI/UzWhK4d5CyAOCondiP55hgAjG1jl1JvKejR6vjhi2zJZaPYs2ZxqwTNVmzrQ71eAaiOuY0cdQl+0ZLXR7iAPa7T1prc9xlQCJch80+vh4ptLUlxFh9OTQPqN4JtfsnBujAS7CuW7ORkVz9hrDwepw1fvn+SkDwSRcn+lKB9yzXOG2Y6Qttt6tK1tY6RRR4swDoDAgznNs900KpyAOYlhl6JvYLmUtk2y5B4RO147oAmLG0nAF3WLtCfJJURfTEgA4EJHjGUSpJBwLSqUCNFCBY0GJipqmFoRLjJAwHAMW/NzV2wardfulKyXIlND6No/gjwtImf2Kff4dHdr2/bs69RSgc2qBqjNzRCvqFNkDd3DeWiBkf3wvFgXCTZpT4I7FGPgBPAviqk28yrNlDOZoN2NWJxqQcle77Fl6mwofy7CTpaRTYrOBFFDmdCcQNwbHLajQ7gg0h60BrZ1O6Q6p1/DFW89IOyW1fXbttfH+/3hlysEzXMiVdi7C7zN7bFoXc2DLm9XWhTMWbE32/bzTjb29TDMxEwJqIkLiDJTQ2mJ5ANZ610cL5K1/JQFgAKliWjJKCSirlROcCvLM9nY4LMBVofmK1lcIYBur5YQ6TyxFsDIBL0BrDKZcEdYdOkXkpxkIXGZUKkyQwwKdpxYkh5WCVQiBGfhowbCvAY+zRSBbRvpcocuE/cHa3pgp9CCXNXxjWzAagcVA1c9M7o3B+njWCcgLzx8xFdV47fsQFWK1AQYtG7R7NkebvQTAAksDPiJYZmE+U6gV+0PC/kB/a/6cGeROgb7OwculOLcM4pi19ZpaZ71Q3EiMpt9VZx24iiugWcxBVqRXoZCglTO5w51uBdvThPVdwPSqOP/DCyRXbN+cKEI1CCZSBZsibKwhpm3Xw4T9/WKgFn20fAw8dypaOyMHAveHaM9na7Ny3ABge4xdwdeeeztxH2PbStq3umq4MzCWAolUxpag3JYdJI3M5lP8x9bx+YA67NVj7asLTvkY10TB1f2rDICiQASyOdf5AdjeV+SLIFkvYYq8AcfvtbUW02jB4mtB2QKWT/S/9wdg/RomzsTgOK6AG3nWgOlZcPhJsT0JXv+2AOeMh3dXnJcNP0wPyLpATwXvHy6YQsXLOmPLCfWWkC4B9aCo39i6vkYmpfoyRrA2Oft1Qt5p7HVRy8byvr7+O9r5D/+XgP1fZCyfBN/+vz+iLgnPf3vGfha8vBPs7yqWHwOOf3Rwg+N7+dUM+XZCKMB0qQAC8npfJtYSN7XXJasAiMD2gUKgsCxxCcD6LZN38SFjnjNuK1uKxVVISa4MEPMZOL8A599v2N4lfP5b2lm6srdwPnGdSCWwBUGjjocChJ+igTDcT6OJxnnJT3plCyjuFYI6K17/WvCqgv2ponzYEb4kfPjfBNOlNvD1+h0gf3XD7XWC5IkJtmNt7Cnv85xPxj46F2BSLA8rzscVr9cF66cDGsOwUmjz9p73Oz8ryvbWqfrl6y+vyV1mo1SU5ry0+ln+x74pNqcgbKX9uwULTnHzWkzAoBZOqA6UzeYsp8jAMAAubnUnBhCBHLw2rzvMdbIzctJWyyKtklvhHIOGZlr2KmxCny93JKZOgESea+5oN+fC4kQPGpnhNZXQRKGMaDWGjdaorGO7G2M7AMQzC0ZTaHQ1oB10NQpCIqLVanxD/+OHaLDNwLNycRueKZG3H3ZbzEW7AuooiPVPXZYpqjaPTh1qv/b2BAP9sj9wNxt/fh+b9n53quT++Si+45k8V99UhKmyhYIoSg0IAqQlo6aIkgOKDq1RRhqlX7Va5suRfg/UOgAgCN32/TOG8dAgDdBp6yPhXujKlIPxNmiwgFqDAToWENaB0ju2SeoiIPbH6/Qsm4V9mP8hO+uU9Za1tfnwulanPTuDoBqa2cCJYW4squnU8hY4vbEVDxh0yNLb/bfhCwJ1gATD8zX7QLMvD8Yr+LeqfV7gIRJN4bHRMI25cE+RV9wJKg0/b5nIOrzfAR+zVY8PqmWn2zJVwJkarMft6TjOkzRgp0nwt9Y4aP28nZZLpB/dzp2xECoOySiRJaKUgH3IIPNmhOyBOgZrAa0lVKmNSq9TwshsaCUjTk8es7e/dAX2xJZS0doJjfdh9t7aJgn6z4I05WwXl/Kg0wPSlgHxgMsdwsj5H/fjtwJqADoF2P8fBdVmTYLZuu37ajRdWK0dYD6wqmktdEdZPePnLB3t9hYy3+dAkQN9zlzgl/d1hTc26tmwVs8GaS0/QkZXMh23IQEE0u16YBWhCv/v4KoHvpU15LILjGn3y5eqncGh7T0+lrQBMPiN0uy81Zc7YJZ62UFZfB+3vdznOHbRKYlqR40CS4FaLbEaMAFVeB9yibOJv6A/f6APUg6sQ423DFRtfoVGIeDiQoIuqDaAMqNgmk7RAPfY5q71u2+9zgWtNVbowJ4oenuM1tKl2y18f3eHedjztJsXb0eBsIXuf1gZVsvSWEa2Ub7FQUpFcVBnDnjbQqrR0Ye9z/9umgwmPKZjm5HxM2rfe6s9j+uKNDr6cP54KQv/g5+dDe3B7T2SyZBjW0a7H+GYN9r+XptQ0CjOScFBU8p34MrKZxw8Awg8ycz79ZKOVkfuftndWrXSAXv+qgAsH1RnNFEehX1HqpCkiFNFiF1JWJUtk8YlKBUsAXJwsHTGggaYKnmiYveD+eBFLaOukJ0ZPwewGyvM2UHahadq4noiA0BJZb5yglq54ACQQ6TvQ0DrQgLt3Rr2s9Wq2kTve8RFJtQcuN72gE8vJ0xTJrATKmQpKGebk6sxx1YqErcMrPVcBQC9RKhExDW05A8UQKAyMdTo4sr3rr86o8yBgLLVj4vr8ZgdOiOFGlFiQl3o54h0sN37AlcbH4B/uz8v7o8ZWNXAri1Aa7LSSaAqa6PHz+BzSLsnwPd/E3/y/XfYkwEwsbXL/c+l+xZ+xvrzk/LvfqLFQxfSu7d37JISTctCiqBkDkQ+E4hRYxiUc8Xq511SMiEX6ogAIIhRPBsDxGM2f4kq0X524r9XkFu/ekL6sjfxEd5YgB5ntB6eQ+ZKckW60LrLw4I6R4jOLTslW24P1zYbUdRlQjlPROcvpEfrMnHz8Y0+CupCqnL2lilH0hNbzRpMbCkwRQ4v7h8MAeAk+cL3TXn+TCcsmoPM2hgACsQDDS+9AtPLQMvdgfm5kq4lgv1pYnZnDiYEkloGSXbnULw5DI2K2TK2O+tl/F5dRCcfnWoQTPWuwhuZe61mmRgoLx/RNiBGA52OsJ0FcQ44fCyIa0G8ZcTXjQ7K0sEKn6eeubTD3w6qGgU6B0hR0rJE7ODsmSq/RLUho37gOR0IolZ/45kI8OCxhVfvAlsgHxTlwVAjOyxO5xUHo7s8rzOmWPHXX3/GXiJ+mM7YrhPywU6dUimsM9YqrjtwOjAr6w6Sahd5aIJQCbrE++xlLjyEQoAelmHspDlJcrmxnj0lCrWNYzxbnVcKbFsxBTaenzwQsg1wrL81x4FS/UqGgmgLcnWLrQ6GzrL0nm7bsHnC0ODFgktbQ/FqddsGKI105pahMY9LnLuszF5gd/Etb97eKcnIlZmV2ezDTD8vNk5WC9WeT33T5QtZyw5Mz0Qewy6N2lZnCp8sP6pRsPk5stf71j21UgfAxdVGsKGCrx32tLBXAPxZPywEOtHePRhzByCuzNTnQ28RFbIhpeYo5WMPdD3A3Z8MsDuxp1ydzdmfK6bT1kxGRHGad3x9eMWtTFhiwS0n/JRP4IlitodoQW4/LHSegFsl+2bfoZcr5HgAns6kZdueLluGrJnAi9M4vf4u195ay/ry6pSoPLtuJlg1BAoO3theok0x3Gqzg2VQltDbWXj2Ntp4JDrzYmwV7mV8rupO19ptfPQSPVs4ZnvzAQBMZbJaBkkoSpIuAs1o1HYGKZGZoXW/a4lUlwn1kBr7RbRCd7EWXAz6yzFh/ZCac9nKUMw+m2OhArViS2bYekA8fRF4zSpgSP6rdtVP9UDSFqZlbGQvjUnUbMAp/wszkOllI+36ssNpu+Voe5TANhR7b2QLoBGA1UTbGEXhvDUQmUhWRnCwebXavvW9Wi2uZRyNraCp4vDVDcdlw3WdsW8J05zx1fmKqoKX64I1TtAQaYcpQd49QbABX/whHURgPePt64R0U6Tnla3NpogSA+opQI4JsrMODbVCo9Wdxki6cooGbAXkx6WVM0BAUNNAimpU6LIECncNF2s7geuHwHVuZxuEDrIUIf3vVIHAAB9FILd4B1Jq5HEuFZg+B7QyJH+NswPse53NoxHID8BYssL903RGjCGWLrnZDpkKBHXixGfyFlSiauKBBlyZzUavVTQHf4sCXazO03yo6UqxurwP7DPbrqrVnntJjd87Cs+ttCqm5x3ps/ujM1lFZsthLZhdOM78CDW9Fvqi0dYAGjClAmxPga2MrCSsWtuvEVROqwfV9GdGQCpuaj1jeU56/SoFQxX5qbAl5Y0U/PlxwzQVHOfdGDlUht9yxKoJKIFbqCcj1g2aDtgfZ+QBnNdJcflOcPsqohyB/aFCsmD+YvO8CuYfI+YvnXq8n6SptDswnC7MHDIYV9yEtPf3/0lx/vsXlIcZ128oQOWCU+na9y+KOAlef8Vza7Za0ToDL/+Sa1xUoGvEuh6xmkBavAlwi8hfHrBNiuVfvOCbx1csU8b+LuLzxzOO/3Gh1oitl/1JsX5dmu8ju+D4u4S4ojF+fE2UGfj07+wsnbimrr+q+O3/bYImID9WaFCkzxHpwvPASx4dOF8/MNaYP7O+tnhHh2iU3WPF4U8J8xcLeq3cpfkgEMQbxbnyQzU/gQMXXiID91mRHwqDx5nCcRT9YkBbBn/JqePsX8y62DIzs44I2yBIFZ+f0WycdbNk/fWEkRrDRNv54q3H5s8C+W8R+yPw/G93ICoe/vcZ5z9UpKtg/TgDc8X+a/ommvlMp+9e8TfvP+HzesD3Hx8BFRxPbM/65eWI9eOh759zwb/67iecpw3/+z/8LYHIVTG9VuTtXgflz11/OV05RiB2R583Jz3jZIJQLtbBN9nfVpfL1i10LlsNWLTfKegoJbYgUgVCCoZ4dUoUgIYcjk6+F3z3oreOCLfsFsCDo8Gh5ly3AMCM2s/FMrzMGp3fZR4taOwUBToVfE1HsJsDbeJFXospngF4c7kQCKr2zIBRgDtFrt/bL16O9NhhEzdt1AE1J74PKO4oboPfcn85sj3cp2L8v43BiBYZKt3KTNxhg7aNkWOjbQylDSjaImytcrzuIXFjV5Mtl6lCoiKFijll7IVwVAwVS8wIokipYo/D/XkWa5TiH6m2wP3v/OfRQJ0QmI03moU0SFp6YOsfa859oyB7JngIotTWE2tWQ88OjlncN5lcRwTb/33ug7bA8e3VAt4hCGgZ09gPKwAITheNgLLYsFMX7Z5b/jJwHJws8YtX6CBOu1fgZ9mKt++/y2x5HN+ya4qQpNWTSJC7/nR3n1F+0bJ/+Rqzuz5Pyp+L2a233uhMA86VCJ0GEbRsFioa48EzWvz3MK9xbOnhP6ezK6lingtEFMUQ0CkWHKJlcmNEVbFsgN23ZSj+7PWmjvjtno4SIckojF7H6H1RA6gG6nYMGGhp9YnOXKjDmnKwrP1xexuzuGhgFjNNtPHWUkal24eh4WN217Pr7ZFsWTpQ1kAac15UGv5n8+KHv51NxWxc0bJBPx9H0JHWvsYbM6fUpsL9lskyovJ+jSi6f1Aowq5pO1ir7+vGxbPeMGiIlQ5r08ffWRYiv7jPN/p+Bcgz5WtbZlgAr8lt7czajdsZaXtWE4bzLc5/Z/WaLqimE9haY8xuCIDEspPTvGPLCTuAECrmyBZ/0TJfvN/KUpAUgbdMhnFMgtxnLWHnWBDUIKQF3/2SNoBE4KcxEKysqGU1g7YMl/sno6gexxbd7/FSC/Nh2kSo77d9zRMg5FnrdtszkOilJebahDGTK8N3+zrwvd7WjK+Ju3PRWB4jI6C3iEO36zcG1MbDM1DNF5T7/d2fWd2GWUbgbIqW6R3+9J/r/V7s60vRAgvSsGvbexTjYBiIZD7rnW/p+7gZrUbuR2N2V3fzLzG4mzZ3HGPtn9XOBWZHkWrL1mlSLMuOJRUsKSOFiizMsFcFcmTAy3XWfS+1M6PebXK4E7Sqs0ICrL0mun9b+utdrV/UzqribABAynAuuWaalTcUV0X3jJ/7zQZOAASadSGoJsUBaNtXLZMrVoPpnU4EoDgfBLUKigrbHoYKtWAx7IBamZYCw57Bzf9OiXi0HxhLxOuYM9dUOdpnWRKMY+GvJ1gaXXU+WtZ46j4o2tyitSa9EwwcfClmRdHo7GqLR0C/iUCPQFyDJHThWsDPwq7RMDJQQ7a1b6UMDoAh3Pt6oVrLtYFl4dhlnf2MQxsL1L4+oYJwyoipQBMTRVIs0xsEkiptztC1ZdrxzeEVAPAxsb3aedlwSBmX24wSpvZFEhRJKpL1cPJ2ZlJ5z/+c6y+nK+8FCAFyOLCWcbLawjfniTuSOkXkhxnefkGDQLbaA1wX/pmIiNbZRF2AFizWxFo/34TqHFGOvXE94E6gdGMfD0r0yW3B7RuF2dDqWATz546+ecbTUdaGfFrriToD24Co1KTYSmCty0oKjQ4b9kibYi/cSKoTBsfJaHxhLQhrRp0T8uN0twmnazUadc+Itt9diKrt59gO0K6Iy0A37KQaxF0xP/M+02tG2AuH5zTDa3KBnk13qqOGABG6Tj6v6Ua1QRcs6YEYN4m01zZOGnl/NaIpVNdI1EqqWi87RT4EFFeKnri4t0duLNt7ombhacf7R2trIqT5zIk1ge8ONywx45on/HQ9Yc8R2xbZMgeg7boC7hjITrZUSmkodqsn9HEJXTiJbbBsR3Xl8drn9K1IjR6s7cSbrBYAZtBSQHWKsonvlImS/S5ClE+kGI1Khr6hyhq42aZy50TfOVra14Uj5O0gtkMv3biBOQ0qrpwvrpk3PUUNgFHh+EhSaE20kzDsEUoKmQddYbP+nI0e6oer9Wi05uxNsdtsjnZsNBs/bG0fiCufK13ZXswdy0Y7bRR1+/cy3zv6nt1NEXWa7ve3Frzw/QhUZ60uolXcyeD/91PsY16ZaWtBtw9dUWrUBAEmjmm6Sa+zPlKQIi0Z85Lx1fmCGNgTEwA+LBcc444pFKRQseQZL+vM3sdhuledRf93uFyBeIAeF8iUuK+nCDWRPzroAXoUgo4ThVYAIF2o0FvPM+pEBkdYcwvqoMqsr5yYGdxcc4ECPWNLHnqKbItWZrYLKgdQkfJAp6IcTHTLyxJAhXjWtnEg42swqphTetFq6tKFQWA11XnPLgFoQiFxcADrBECZidMg7OVX+3oWUeBhsbVQzBZCc6idltpo/UFaCzzS6p25gjtKpu8UnpGNW2XN+hys7zt+ZvPpSkVUZwlIgWkkRJ4jG1vRlUcyS1z1XKxmWgrPGoDrR5epU7CNuaGBIj4NbG57ilimi05da09jGcCADvh49qW4QMvUhVHyUaHHCpkLaZuhYpoKYqx4d7xhSRnlKJhiQYoVVXn+zCn3zMbQVnAEbfQ4t4xrvGYcf+CZXU4zPHCLrzuaGJ4I9vfMMLhYnB6Mhm6Bn7MQEKRVAEgVROtIoFOAQtgacMcAVDIr6MrGdR7m3z6nRrNpK0tww9DkgR3vv9USa98fy4FB6fQiSCbQxDo9tvCI673NaWDgMF09e1sQ12pZx6FWvrL9X8y1ZemluM6DqW2LIohpUwSBJJ9vs41igkUFiLt2AAfA4VOB/ATkY8D6KG39Veu/WSMzp+nC95eJflJ+nCB6RDmw9t2pwuKJhNFZV4rqtN7coIZCNR0Fap0oDj9xvazvA+mt7f3oJQGKLgYncvc9rvi8vg9Y34fGAqwTeoD1uCN8nfF43PCv3n9ECgVbTcg1oNq+XuaAfFixlYgf8IA9TNhPEfXh2ATf3vb3bfX5L4L0yppNF2tafgiYLpyT7cmCZAveD9972Rr3yeUjsPzIcdrPJoJ4Fjz/j09YnwIuv5buF4MZxHTRJiKXj2Cbr1SpSXMi664ejJ3g1OKt044RgLwo8H6DBEV+nfG7LwvkGhGvAfMOE8UC1q8q6qEivkZMH0NrdSQV2N4p5KEPS9hcURp49x8YGecTz4a4mrBRVYhF5963ez8D628o1PX49/R38oHjpAJs7wykM0A2bIKKiP2B7XM0gqw6BQWosuDwIzPAoqT81iOQvr4ipYrrj0fgOSK9Bsx/MHE6A3nzWbG9ox9WrJd5K8MKaNoG9J+A5RPFnULuSt7rB47B8smB/wGosOfIRybRgpU0OmOyHOyZZqp+5y0hRTRG6fxFUG4BOS9kBZwKwlKw7hP+65evsJWIEBTLlPG//urv8G+O3+NPv3rCj9sD/uHyAf/xT98i7xH/8R9/Bd0DDhf6+tX27bIODuA/cf3lQa7Rd2RKrE1wJ92vSuTIr7ZRGk3PgBb7JdE3V+P1ILccIsUubsUmUFqmUBSUtz76YYa2YbfM05AR4T0D3m+Ke9FwE5UHk2RBKKQnpFt33D1IcydoRCiloGUaWBsCBBHkhZmvYJRQv8879N8zGJGOD2mu7kDx9iRXhGvrD3Q/D1kRc3dqgO5UMVtgCFSJrP3xjJxtgL4jx53UYtkr2x+UyuyhqySn0O5birash9f/tvv1e7pl1CkCp6H+NqLX+7o648zg1ZvNywbAxpIOKgNiHAFvG1Jn0kTK0cSVzhVyzDg/3PDdwwsqBNnQe1VBVcEx7Xg/X/CDPuBP2wNyjqglmoKbzQOUNOQxyHVQYBTlid3eyWhwKNpszzJWwX4guVrW03+IljnXFIApYkRlPVvP/qz2/8GJ7OOAJiTmyCjGzIeJLFTBANO54aBlVRrwY396rZSto4qmRlwOhjrvfF1Qbz/wprbVnydwDFp9WufWNueTWQNpjgXpzsrWVMJMS8g9kKVvJ229h8x7cNGPJrampAKGYgBKpr2OlGwADHBdBM6zk35vu/Z5HwCI0d75DFYH7w4v0JgZjXVgdCbPKI+BnQcyXSSJE9H2E9vLMFWEuWBeMo7zjod5xewpbAAP04opFAStCPaQx3nHupuTOrY80iHg3TNbtU3JMrfdJj1LpImgoIsMuVpp3CuqAmWJyCfSd6eqbP1VmBJy0NIVa1uq1MZ8VORVO6iLl564sJzZeROVC/zT6jwjWiAgSsCyzbXcnwNOfa/JAoMR/JH+OrfhJrSmILBngZsUo+MusdlUkNqyay0zZFlrBsUYQCbenNhNu4prsys/ZwxMovCT3YMK6gajTsNopmhK9Azebe5838kVkAidLcjeqc6KrDyzh166EAGMEQFbo52KPAhoDWwMn7tqcaBmC2JsHnopgAXfHmQEdCdxZoCbzM6nWHBaNkRRHNPe6s7Dmz0tBkVKxeZQ8EsXwVqBd2hIr9yv3ZbT6956HqsSYMzHBAip4LJX1CWiLP8/3v5kV5Yl2Q4El6iqmXmz9z7NvXHjRsf3go/NSyayWqAaVAI1qw/ijEOO+AU5KKDG9QH1BVmoAVFgshIJVpLJenwdo7vN6Xbn7mamqlKDJaJqvs+NxwAiQQcOzjl7u5ubaSMqsmTJEgNzVvcPfA1t5s4yXS6wxyBUUWswBgcMwDT/YUO1b6yCFyB9v7itV5sQsQ/5++kUk+2QztL2QB1NfGej79EyTcp7jAvXWZwrwlxQ9qmVXrj/lizr+Rn7wPeF1c9VEaAqcwoRwNjp9Q6CtDZdNp3pXBHPBZITtTO8LnEA1gOY3S1otZ2NuTcGxE1rvV7rD2NT+OLVDlDUvi/pd5ofYoHxMBeoCObXY1Okbh0t7N+8h34etSmy75BCVWMH5cukLesHFQxTxtu7Z7yaLvjp4R4BinfLEUuJTXU7mDG6lAEP446Ca6NAJ4JNL4/3dpYomhZFPgDz3gJLMAHDoMX9Fj7P8MTkiAdKcQZ2Hws0msLunvb48iZQpfnNRuPGfejFRU4teDaqfR3os9XRgttAdgIA6OpG0dbwWHFzd4GI4vGbW8TngOExNFXmaqrE9bYgHjJwDhSlGvr+KRPXuNPc3Q8LK3D4jkmdy2sqQaezYnyir5FOvKfzlxHrkSrI+bZCcrD2oSZsawBd3vl+7uMYVqDu2d0AAZDIa9Y1ADlAPySkM1prKajiuF9wmBZcnkfUS0RYgd07tUCboMF6B+TbAqmxnXFXbZucsRp4zqWzMVMsPlmP9J1lU6/P93SbvB4B2dk6ssx/tXrn9bZC3i4k4SlaX/Vi52O82PMYAJv3BChrFTxcJjKvhEHuPz58g//t7m/wvBtxqhP+5fgP8JuHOzyWHeTjjgrqC1qv9DIL6u/nBV69/uggF6otg6tjukaT1DIlhYdKnYarrGunN7KHpuSKaPVddZeakxgs46cpXPmkfqA00Y5IlVmNwHpLxH+9VSooqw14tYUu3Ih1JT1BrOhZK4ta6qDGYBRcvpCNEeR3i6JlBgCv4erUia2jWr1/41kgtXbHKHcKNx1KZrrraF7YZIt1jFyoQ0TdD71JPdAC7bjUnjW19iP+ezXRBMnA/mOlVLepFTP7xkM6nb19ilF8jB6L0DMsveWJBybMUFIl1JzduUKtxjDfji0o08Ta4ZqAODNrrIaANHGwCAChq0kqN+l6jHCalFMknE4GNZrRWDHsMt4ezvj58RMqBHNJCKJ4PZwxhZU0F1FcCkECEcU4rcihQjRBH58gw0CV8C0dwrO7jX4ZXjihFowNdOSxCXKqOU6ydjr+Fii4yjK4EMkmwKpTtL570qgprrS73kirlSl7HjLeOoKZYy4Qb4ngfSQbVSdpc2xQe+a0CXg5Mmt/6gCIObPBako0AgUC2QHiCH1kxoKtDbDZ6/gswJXVAssh2pzbGnSH0WrD/NCABQ7IgqAegZjzmI3eNjIAGZ7RMgasNaPjxn/XPg5jpAPkGFKxQdpmbLf02zbx5lg4GGTZHXew1epqiwEynHPuWadz+b01+p1R20i97mqHPMyBuq+I+4zDYcbr/QWHYcHb6YQpZHw5PWEXVqw1YtWIuSYsNbVMgCXXoaVAvKZwu84bY8HWuqnle50mDJTyl2oP4soUrVeoKWrrxukz5Xj1LImDNn5toDnIXXgrmCNlzsUBqNMmg3sliuPf42u/B2ItSADaYe7fp+Yox4vdi/tXPkdqe2AASuBBOz5ZJtOB1iKNsplOFd4nGrU2qp2EgBI3dsDGzXUMwmKtorxWNQOifX36meHr3G1jyEpwpvD5PbBMl806X+ye5sJgNtcGTAZz3l1wSsXE8ZTK/yqCejBNgBAblRPgeVt2G/aU9LlrQLCDZAoUA3q2tDcpsBaDYjaWdoTzRsHA42HGlzfPmGLG2+kZg1Qc04wgiu8ut/gwk/IWRLHWiHfziMtlwK6CII0qa3NrB3ZkLYA5m2K11RQ+UrPdAXow5oxlSaozMQJFqlzlOhRtQWnZ8dnjubdnyjcjIKYoHTf2wz6mgRncMhlVOfoA2bl4V5jBTdoVdrMtaAsM4P+vfe16EBnPFAxjv0tet2VlEiigtHn5/LBu2lSiS2LgO1dr6cfr5CM1ImoUrv3M1j0SBbIWxLUg34wNGPLERrpYMsMCcdcQUZE2hgTlLZNuaz1eeO6ElWuJ6vg9MHaGjoogXgrSc7Y9WvuzqaJOCXmK2PZ+9yDfAeQthX29Te13cdarcXLfzwVH46IYLl24xwMO7OmHRZZ2M6CuPMcQBSkVvNmdcTdecJsuiIaAr2aUoijezUf86vE1lhyhRtuNiyI+XFjGNw2Q0nur7L4X7KyeulpvcQ1CZpdlwsOqjXXEseLfyx3bMPr4rEdgfp2u9q9GQTFQefy4ARnB5BAB6U5x9n6/9ViwDhQjbEiPO7NjpT+ZLaObtAVEw+sL6m1EWXbYf0P/Z7lT1EPFzZfPuNtf8Lv1DZYywvVFGiV6sKB+oUpwFrKrHobQupQAxH+ZnQX7iAv/7/XG07uIMAPza8YU1D+oOH8VsLwmKzKdYIwJnlnxMSB9F1Emq7tVquB7Eq0lFQaCT/d/8xr3AMvupgrq7LDjxHrDfbz7XhB/k2g3PBC1ve8dMrylaN/PaIB5nBkDxQsBEBVg3fUguIGqi7TMMcCzkm2iIsplR9X7Q22BbTorLkfB5Uec2ziL9YYXqHKd3+5mnJcBD+c9ag34Vw+/xMd8xCAFQSp+fX6DyzJAa0A9FugQsHsXcfObyvriozQF+v/U648Pcqtan8iIskvIx0QE5HklXcVazdQpYb0dUMfeDsapLTUJwp6iBYMJMrhCoxQlfTH2oIHojKC3UhBATBL9zhCVI9Gb9a4ivb2glID6OECy1VLZgYAsQALCnsawLBZMJEUJDAKoNoxGn7xqrWJc+uWNiZ98FITnzfiETlPUexrUsFZEayzfHLEo0BBRB4ruqPD5tmI2ridwBRAEjkW4FMTHGbofUO9GbOvt3NGO54r9twvqEBDeDhRSMLRyeCoYPlzgCpEtE9X+RmuzglqZCfDaVdVNvRmdIwBY70asN7EdPHUQLDfMzKSTsqdYRFPUdHpbjTQ03s5AA8WwADZQj4tT3wTVBAsgQJwKjvsZXx8f8Oc3v8NaE57KhClk/Bf73+B1OOH7codP5YBP675RO4+7BXkIgO5R7x8QXt0Bt8cm/w/AWvhUtDYnL5U1rWa5poA6xQa6sO2GOT7WqkYc/TWarveulFKv6J+e1cuHiLyzrLztF/ZUY3uJ9a6SsjlWXINbPEQlSK/zsCC3ZacSUKeKkH2eiNRt60HbOgqd6hlnIBhN2TO9azBKmARECzZCrtBCIAXVDzRcj5sJrulgrZnUPqcBQYxOhgrk6yxC8DYX3ufWnNWQAjJgJQcW3DuGkGlPQqlNIEUjBb1CKI227KJhitgzt85SqbDs4aaHb6WaaD6m9mwOwPVspCtSou27Rpsu11S9rp5odZfKsc97hewKdrsVbw9n/PR4j31ccTtccAgL/lfHv8UX8Ql/s/wIv1tf4z7v8clYDAKQUquA5sz2QcNwtWTUWlxJLtDd2EDLq1r9zb5otXjCDApGv+ee3aTxMKfOe8MOghyu6UatHGUS5IlgGHubb9b5hoqMqyAXUANznOrubB0N2oAbyT2grREMquzA37YziRc63ipodZJ1AsIM1Pdobdl4jrHeifu7kqqsXcuAFF8Ak+3r1ewn0DKscfGAivY2Lpsetk3Btu9DBGlZXSgwLAVQsGf2IB3MKTyLKRw1Q9bc+xBvbHVjrQRAEQjGnmfau5uxMapc2VMKASCfJy93yFY6sZ0XUjil/V8qRXqgXNtwR0yAVSmwBgBIimEoeHs84R/efY/bdMHPx48YJOMQZgDA/xh+jgpBgCKFgqd1wm/zHfKcOPdDMqGzcsVekDmzh24kwwZrhhjQriGg3I0oxlIoO2kBPADAghrPtjNDXWkDjXa8nyviXFDHgPWW5Q1l3AgV2efimW03CFRKoyI6qFh2it2XZ4xDxvk8ouQAXSPByqCQiYtUM4ySK3AVWK+pZQ9UW9+25cLiZ4nvPTQn2R1+b81XrVf3dF+x/25BSILFFKfzgayNdCpIT0QIKeCkSPcU8SqHAWUkGBAuAFSRbG17fXJYK9KloMaAfBhQBiBYv1zdrK/h5BFp3xN+TrooVLD+u/GSEe5PtpYMeDaGTr0dsbxOVpZV7F56cO111czICZajNMGiRu+287HsOU7pzP04nIHpU0YdApa7aMwEKzURCy68BKJwr5YBiLHiy90T7tKMV/GMIWQc4mLbks/7adnj/f0RtQaMY4YEigvJxweIiVaGMrd1fvym4OZxRnpaMb+dcP6STJ54JuU7LgYaDJR7aRopQgGnmvwcZdZ1vSGgtv+egZyv15CB3XuOu7eAIgCBRn92DYkQFXJj/vYcgdkAGntfnBip1TVA1wAZmP0LAfj6zSP2acVffvNzjE8c+/JmxXCz4B9+8T1+un/AkhPe1TvIY8L+gfZJ3yqwK1RezwKNStA5KOavuH6m9xHp2R4eJoTl4H7yZ2KGuw6Cy1v6O6//Q8Huw4r5zQ7rbUV6Cth9b77KV/TLxt9G3PxasdwKLl9ZMuhi59HZAWGOcZgFd38VEBfF/T+MKF/P0BRNYIrzogF49R8Ut//xgo//aI/7f4Tm5zTWZibtOi7mi4z9PSEDcgZ04feHlc+UDwTS49yTdR7j5Necv/QcKVj1iAZKnX/Ma6dn7tHTILzvU0L6bWLf4MJykiESzFlLRDknlEvC//Dup/jV/jVeT2e8Gs749fNrLPOAWgXpZuXfpx3u/uoZp5/tcf5RQs7/uYLcGKyOLSMEQTQ6K5F/IQUzKbOJZtzVHR4vtA6wdL+iDkPLuBAtDZ/Vpzj1ZD2QquEgUKMumDNYdixyD04PGIkeVgWwdroMiqA8WWZvNSdWf2AALZMrFuA6FQKgUxVgjmpbbNcCTLw/YUYoELlu9MSXAgkwalfYGnELLJX3195jRl13ifXK7ngaaqu6oYarGvW7EmRw51XRxayMYq6gw9V75tVetwU0x9/rtNSACb+GH5oAN503gQ+5b+pGkXLE34D3ClMNtMO3MeDN2Wjqqj5eFkOpkqK81oQoFV+NDxikYCcrolS8js/YyYrfja9xs5ux5IhcAuY1YQdA9nsKlbyo4boSjPLgtmV1AVed1Rgs69rv1Q3klt4YDH0Ooba1IoWOrlPmqo1hmTZK1L7OkzvlSnGWqMDgXrC0dS3+72ooqR9i0YMChdM1nYbV6FYOBKGv6fZc0vehr8ntZ3tWJ0ACm2J5Rlc36VExGhspW05rRdsfkmur4eV+3So5awsANAivZac0W3YpRMJVkMsgpPb1DEBMJKy3AbK5r5Y5aYZHW80i2QMVYhl91tKHDko59c33wzYei0AV6RkIX9OWXQNwRaX+zP5VCnBUQ/KnmPGT8R6HsGAndDR3YcVNvGA1lKLavsjZsokpkW7vz7N96WYcKp/FqfitLQgnj2UGu9BpsADrp1ftII6iARFVNmj/dg2hO9reT9PtpfeA1ZGCcrJjQKcm7AZTbZQsrHMKagIx/VyAbQO3M9j821k5FWjlJM3pt2nY0oWvxNzaQ3MOyz6xpCNXZnMz6bDiyvAwAMVbflh9EdWSK0EZ+y5v8REcEHMBQ2cKuBKz7Svfg1dquhvNh6aXYdRZ0c28u1aA18pXoLX3832YBSFcP7hsxqR69naTeduKmzQGkwM7CmtTIj3jK2i0O6wB65JwWgc85RH7sGAKK3ayYLSD5RAW3KYZWYMJ8wTUGqDluje11grd2vNaez9mszEN4E0BeWdgswWKCGC7m7AZ/34pu/eescq7ALlhIOggp/eI1dDfCwTknbRa87JTo+Taeh8rRHRrPixbS4dRvfjXbHVYmJnx72lzM3hAaFs6bBS8ASdCYOOu9Lkyc0gnnEGpmEFv9POt/2D36KUpTSBRN4bY144JUmogE4R1hX2N8N6kBZXers7XlrPQtuvd/R/qGRC00439crp9NG2GNpcb2nVjN21LGLqpuvrZFpQALPt+iH09ux+k2vxc2X6XiROlwMkIUrELKwYpiJ5J1oiigYDm8dLawmm1PXfc44dePAelaSQwsSAY78XAsH7PTgWNs93zSVpwVPa6YXVpy6JtRau2jA4A1vOaCaf1lqJXqGwto0sg+0C0ianFsUBCvSJLuYWazwOWQED2MiTAnru6yFMN+NXDG3x7usWHT0fIEym++WgaOKtAlVnZuq9AMY2GVRDP0mnviqb9QPouf1anDho5a8Y1TOa7gDqMqAOQTgHDk2B8VAM+BGtiprgpbtfNQgJYbrmzUpOkwMLkU1w4F/mcmJxzkcXA982vBPHrCfkg176qDVzb37VNm38j19SB8wMVmGwAhmcG314G5wGxZ+E1aQNX1VzgWqTTksdek4tPA9Il9LZKlfbKSwfHWDAcqbzsZSf7uOIuXXAcZsRUIFUwjgW1CtabPZY3E2rk+HqJyH/q9cerK6cAucxsnbAbES4jNEbUw4CaUssC5h0pl825CV5474Xt5tzsuPgO31WkU8VyG7AepRXPt5cAl7dM3Tu6xnYSPCDWtwXhZsU4FIxjhqpgGDNqDZifR2ZsDfWUk2C8J5rk7Tn8OxwZ9QOZDy2N/pENfUpnfkAyWsaAi8NUy4SUB5XYEEcaP904UER2nWITNEC0Ip7YpByuZKqAb/92EIwByyHR6M+GTFodLURRIY0eLVUxfly44afYane9V2CYM2E9q2tJc6Ek/8taSqC3FXGHLQDqlNyqSOeCsgtYd6Rcx4Wb9yr4i+Txl10/nEMEdEajBtXM7y4DMz1lohGtgxnaFdAcsJaIUx7xMR/wk/Ee/5v932BEwQLWtfwifcLrkBGl4jdvX+P7yw3+8vsvcXkacReB8MUbPl8ukLpZcC8DXAMq1NWUp8i6rWNCPjow43R6dPXnyHVBURggrKFRpqQSPc/7Tgn0dei1Mu1aRm3Lx4pwu0KiWsBsh0gJUGsP5e2BWEPJgLLu7Pjw2q9JsbzhPaXnXjve2vW4L2X34SXhYsCCVDDzvfUjB8EaY6PMSFUkgGwA1c0FlUCZt14RBy4qcFEDD0bre+ufQ691tMO1wmhyRREvpVFzGuiklsX1dkH+dSao0767ojEUsOljyy9hBhgAMBqF7ThsBHjcYeuUZXcUqaIrre2Yj4kK1zTvkeMRDcBqgE6r7wWwCpZ5wHKgavLb4Rn/9fHfYycZzzriUge8js84Wrbrr/EFskY8zyOWC+sKw+0NVBWaM3S7zmtl0G8UT2+nUg8JTRnWMok1Csou4PwmtGAR6LZPKttmhKwYP2VmyfY9M+b7o1GEbZHliXQkNounE5hvKnDMmA4LXt+csZaAp9MOJUeUhwHhEhBmQbp04Q8GLdrwHXcuymQZn8zsQFiYdahJUHNfL40+bs8kBoqWodfkNfsbaI/yjnS+4bEgXQriKUPmFVjVeswq5DRDckG93aNOFDqKRg2WSupgHQPqJAgzSDEutQseBTH2QUTdE6jw3qRh4WYNK1k3WxG4cjdBY0A8rwjPs82v7YVo7ayGBA206TI68FsRDSStJghI8NkApyLMqEwOUHBs0rmvA6jXBFqdpjko1cpXXJzGsyUhA+sn1mF+SEf8bmQt7l044xBmRKkoGvDj4R4A8JB3+NX5Dc55QF4jsG5AK+/3vFnnUivKYcR6N7Cs4lK4NnYJmgTzm4R1LxjObFfhjAwGMFybLE0iSuXBl+skzHcBy21owRfE/B0vG7Fgfs2C9SA4/ayi7gt9kirA7YrXr5+hKpjXhGXpJQcognDx89POWmOtpCfB9MkyPrf0P8qe4z88WfYtAnW1e9jiohbYeTDngkOiXPsUXkotCREWRbxwXdaBwIBTmp0SjCmRXWA9eL08wO0hy08YcF1e8fPTx4y4VgINZm+qKW973Wg6S2ttNDyV9gwAWUCSTeT0zeHKtqud2WEp2D2vqGPEejtsAl10wGUD4HDN9N93nZcNFdde60GQ9zz30kWtvpXiXctdgkpAUcV6YwDeoSDdrNiPjDiDKG7iBTvhmgeAb9dXeCw7vB2f8b//+j/i07LHv/nuJ8gra2Pzj18hXFaEh00rT5AWTmG9EWGt2H87YxojhlOizzXZmt4D8xcF8RyaGNn4SNbc/S8DLj9h+5pgLJjlFdfF+FEw3psPt9+ME4D5LbAeSWWVVwv3wTlBl4ThY8TwJJjfVujXM9JQ8OrmjBgqlhxRayAoO0TM5wHhdzugAg+vB2AqGNYuQiixoqwBn/7tF4hnwe5CCvD8Gph/vgBVMHyfEBfB5ccZw+sZ69OI8D4hngTH3zIbvt5Qa+T0pUL+5IT1kjD9akRYBeut8tywwDFeBLvvGBc8/invY3gEDr+lUO3dX18skz8hLJGBo5V6XCUSImngOPI7MFbUJbAd1rli+sj+vulsmhSToI4Vdap4+LOIp79HYTVXUfY9zXrh7m83u6de+25U71d8puW1IJ6ZlR6eKz79gwGnnyjSs2B4NBsxsj+x1MRsttm6GGkrNAHLHYPcdAFe/9vQywNGwWUO0ByakNrr3Rlf/uQZQSpSqAii+NnuE345fY9VI351eIOqwNvDGQGK//CzG3y8jJg+Vbz6ywVl6YyFv+v1x2dy4YdYz/Q15yV2OrEbgxqpCsvCe1PMswxMTVYzYFk6p43U5EYWaGi6Bw8jOfC1utExaliqSENBMlVdEYVE5VdF0p+9bqsjbR2dcXRum9D1790iJO21RY0dqHlxPQ9SIMZRVwAgIkuBC0HY1KoB9h2qkFqNKsksKxqd0bLUYk72i6QMb2iDyIoYomSBlSkgesN0G6wWBNCZ2wQBpbasZgvEwmacKlpAKE3YAe1gv4Kk7cCokdfwgvnmYKJ/hmPoF+rjzDGgw6pZUErAXBKey4RLHRBRMUjBYumbCMUA4Dac8eX4hLk4HVOu7+2HXltV1PYMYhk7G5NNdtodB1/vnuVQk3P3oMfnBormTH1GJGhB7ka9LwKa2AJJgiIEZVJO0KmczVm376s2oBFEUDeshZp4X75+PUuD7bD7mPvP/D3+u5aR53NKFWv/0ANSbUIH9kFXtAbQqMC+/qzWWQpp11dibWq7p+Dz8VKvaa2N3szra1dQ3r63OPtkk62133FtKLY0XbxYA9eZ/u4Ata/Y3p8DBkYjd3aL2P3Jy3WobmONilgENQtKDU18YScZB8lYNaJKQERFhBqDQRGgVFb2zE+MkFK45LdjIb5R7b/bsfCMhQW4zLIaxTL1Ndvrp2nXW31dZRbIHf0rKlizq4ZWJ1/fltVKrOVKiWJDIlRmrNLXeRODUdLR1O/ZszLiNfx9Tppz6k73y1Yx22vb9f0cC5uN4SPYs2fdoW7rwlkw/sfOSQbgSmZODl76vPn+F2vVgBAHSEVhomnaHJ5QTF/hBxx8OHvi73oZk+f3CTf1lFbf/1eMg2a3r7+nBTZ+W1v74bZmm40uQC0Bc05Ya0SQilEKBsmAALfxgosOWDUiySbrqZbhLj90IAIujrkFmDV4QCWfteuqzSdBE/rzh/b6XMBtH59f7drB14y1GGlZQWvHUkegThUyVVIpi2AYCm6mBWsly6jWjTNidkDE7LkDlf3Xtld1u5X7s24yuNvpbDbK5u+lD+TP4KU2KB4N+2ekM3JsDzSm23YPbc939Gu34Np1QabYz5sK+j225ZqWQebZAPM3m35IQvfPtutwu9/XYurmdv/uq2zurzGWXpxzuhmXrZ5CG6fAlm26bMba1lkotMVtTjbMnJevQTIitLFyBhnYCzqMzORmZ076d1yfbczEsoQhnagk3t4vfV0T4LA1nNDK111zQ3aF2ddzRFOwb2Pe52+7flzlXqMiOrvm+nhh4iPRT28/U7YJyjkir5vOF7A9Y8JUriwvgfsgmCoyS6k6QA8x/zcDsgpBsNLH34PB7J1CIjBNTIhVo6ir1cR7u8R2Xil9sDop8CTdbtnLWxdJRhNXE//u5pPjs3Hxe2P3EzHfEL3Hb2ZJZQ2kk4uVH7jt245vKyfZ7vmNH6cRyEl7hlm1Az3h+jOyKRHq4BNYUoXOTNs+X2MEml+qKuZ3ZxzGBUmqaeVQIf9UJ7aCC1Rlr0qRKY3a+gyHtUL/c/XJlTmzN5IpK2+pnBqsBYTXVgiw3AhOPxWqodkGSCdBOnVUXwMwv7Lm8IHGrEyC9TW/M17Q0JCwcGKKqZq1+Y2KcWQKPIaKYlS9auny9rJeXcvr2g/GagtorJZNdToDF5uLH0B5uKlRPfxwC4v5MbbJnDKS94J6C0z3VG8DuoMHW19lH1CngTVVZzpFdYx08I1iKXOFnBdABPUwAUaPc5+6WB2dZ7jYLJychbI3YTALcuMlIz4tgLWnAZgBhgLxaUEyWle53TGbcFrAOmxhBtOpb6iI55UO7RhbawUpFWEITRComDBYA6V3Jm5QwVZNuY+jKFFRp0yIMhsAQ881KHQF4hms9b5NuKjgd6KoKvh02OPL4RF34Yy3kYI8j3XEszLw/T/d/gV+NX2B//DpS8znAWlW1O/eQaYJcjzgCjEw6p7GYLTBTDVx3wdOfbXsQY2G+JvMft1kPqUYAmn1gGxwbYZ2J1hvpTnLXCPoY2Z7pOwYDMhNxvEw0xCotECmSkARZfCVYXVWVpslgmJNznvgZMbXqHkawSySHdKtRrTRGu0eq69vNDXLZlSLNLW/ZDWOQEJMAWEuzF6lAE2uyGTGf8m9TjeShhxPC6KJcnlLMRWhgvearea7zw/FdQRYGAa23o3b1jXulAFkIXg2ORfIZenf4fO8oelqINWxGiUvLCakkoS+UgytzdX2sGAWCzy0Iksuen22If8GfgBUpMXZQByrGS27iLwG3E87fNwf8G26w2/ya3wRn/A2XPBjOeOiASdNeE4T3g7PWGs04fD+DHzAa29TDxNqGG3vFtZlTu7Zdy2AchNxeRWo8nhDG7jeqInKkTIZsglgZKCMQwt+q2c/DPhZ7vhsrOcxRWULJPKB54QcMw7HGWPKyDUYIFgRPDMGrtF4cfth9uGqryM9VQ0gUDDa5wYYW6eXEWzBVICO02BaC53KJZ8FDnEx0MWynZIj5DBCloxw/0wHYjdBJ7aw8UDUnXCybYQ++uqoP/dBMbV27zlPpkwGCjPBsJZNEIr+yJJJo98PLXuFpZjoUgBiYCb5ypFxR5d16o1+L2ydVCfa/GajKwBwTccgKFDI0LMVriiuFnTFBdYL1Oz62kVxvBfycgso+llci+C8DriUhKoBO1nxJ+kBt0Hw0/iI74cDfpW+wNnFBAHAso04X2yOhy5qASD/6BbTeUX6dIKLCup+xHJ3S6Elc37LICivI8rEbEdN3faybSAzqOsNn8ep8E2zAECxTPVyh03NrTb7X3YKTFRLDzv2+D3uZ9yMM56WCeuSUDKZZ6pAuASkJ7J5VlMpVqPzz0mxvjJfKjHLPr0PvcbcKbSNxbLZ+xawekZeiu8L+70xrkgJZqZyfGbtYFiUZSC5r+ViLDEpwPQxm09jttfEvGAAX7DWha6xsH0xG0XbkS5crMNTYRa5UHCTgqauqGyA9rmyU0RRpAeug3pge7NWN+8BeQVbHmaFaIJYgFMmaetcbQzUygQcyBkftDvxHgBbSUqegGCinOFI/zisZKqlC4PJ3W/ZmeR9rPgnb75FVcFvlje4iRf8V7tf4218wp+P32InBf96/hn+H+/+1/jd6Q7n+x3CfcL+vWL45p4+SK3YCqytNxHLTyOWO8HuXcAtgPl1xPv/SpD3ivRMGw0F9t/Qnp+/4qLIx4A4C84/z/jFTz7g20+30HdHZg2Pdn7dKsqOmc3hic+fd/28C4sANaCUCZoq4u2KECryIWFdA8abBT9+/YilRHx8PFAt+pJII36MGO8D5KDIP50RkjLQLoKyVyyvhDWwY6HPY2dGvJj415Mgfzu0eSmT4viriPQ/RSyvgMuPOKnrEca0s7VYgPPziDpHRAdVViFeOjNWiQvPaigwfjLKc2Ums+wE682O9iDw3Nh9rNi/z8iHgLjEtrau/LxBsC6h1d5mKx9z+vDpx9yTh9/RZ8g7NDC4JrVzqIuH5l33PdPZaqbVkiiR5+X+W8H8Grj8NCPfAR9KQrpE2qoIE8oy0cwK1DU2n3Z5JZjfcr+OD7SDIfN98xvg6ReM7Q6/M9/lWHB3d8a8JPzqu7dIQ8bd8YLDsOKXd+9xmy74/z19hX95+SXWwj2cS8DffvcWZY6YPlEJXAOw3iXkecQf8vqfQXiqAgMDAAA9qwUuDi+4d0egDr4xKCLCDF7stVCGRvgC8B5/dOz7dZy63Nr2pBeoZdCmpCuOdFoQ0GH37sjoTumsznT63eBfI/1o1Mtgoiqe0W1ZZM/mWTDiCOY2U10jGvr4Er6pEdAhIAZSgVptc2LbDfEar/MMBIHsBlAoRBl8mqPtjgkAthExSlH1Wgq1WttcEeYVqomti4QBjBjSKfMCHHco+8jicTHLbnPdbxykl4oAI4WrBF7L22tmHCFqHzNRl7DSMYizNloY0KmBvbWKtnmQauIrGahFEWdBnQPmy4D7cYcpZrxbb1GT4HWkAMVFBxQVDFLwi/QBRQPrASLXWT2dCEwf9p8FAL0OV+0wsed3Q+WBFDiGxeoJy46MA1LfAWxYCcEFQ5S/955v18YPbTx4bZPfHxRpKNiNK3KJVFwU1iSK9v0g6vODvpdeota6cWY2j+l0Q6e4uFNURqUzbfPhrT9Yu2Hrzuj6nB/bz6ugILBe0cbU+5652qwYVZaOuNWQroRIJQ6tr2ETiZoLAzIZ4Fmqlt3yze59uL3/sVCISaugt35SDkytFKlRhZShZX1attbr9yxzAHRwAwWmQIuOdI7S1i7fe70X2CMS7TpSlJl2c668boq9fgXxwrHMS8I5DziXAac64RhmHMMJtxLwqBWoGbuwYB9XTGYwXy7ply9N1g6rAuLj4Ei6GigCbUJx3jNPkwWkuwp9ttqn7DacuFRYPbD2g5mOST6qlR3woPTrNUbPqIipYjdkxNC9ck6FPZBwH4XMmEUM1OFeBdTbSdh7gV4L2rJRG9GdVuPnn1H+zsGrLVDnAS7bWzHD1pxdU4mOqwBr5to67lHHBITQ1nwT0lEKrcnqAKui1Xe7wr2zgKpCvE2Q9+X1R1wzZFmBIVEdWQShVr7H22RFYSsdZ+4Afd5DMJX4vja8R/eV3d88v4sWuTC52xEXPPLWgH0OYOJYbtcFKptaWr9OFeQSkGs/OF6HgDfxAOAZUZ5xqQNu0oy9bSRRc/Zy4TkZAmRTT5yPCdNzhjxsVCJTbIG571fvoUwqOm1uNQVkjQIZFTX3M7NlqDNNg9p56jWPdbS1AfB8LCbml9gHeLJWScdxxRhK632txS9m117BLyjCMU6V62TPoKON3xpaOddVEuCFD+RTUv18FjSRMW+T0xXiez2vs9SSgQJNrVhoHzUJgolwyVopdBaAkjbgip813n1gWxaFjU0UaWByOhdSzG3PiHagpJU8rbTTUiqwrLzumCCuor1h59DfYR19WAOPHQnI2/vQPp8AGvWaKrXaGFvtmVqwC0BNidv6vAcDEAKAIQMQwdMSEUSRNeIpE/gdJONWVnwdgTfxBn+Tn3DKA56XEVgC4iJIpwJ5OnHMYsRWY6GMBM2XV4p0NhG/vWD5UUa8WbF+v4M+dyp7FqDcVCAo1iyoF0G4WfH18QH35x0ulkV0LjfbyXD+hsc+Lj4OPL/IMKy7gJRYPljHAlXgdj/jbrrgYd4hrxF1jpBzhKwsIdy9U1y+EMTDit244uFxj1ojhWEnhU5sF1ZKQI69i4RUAvTDYwemEAlIHL8peETC5cfufxrLzWuOLZhriuVw/04QZzGBMTTgn+fy5hxMXZ2Zwk+shU5PK1AThkHgrbgoauuZZks4VC/jM00GOxPLQQkmfG9A+V0vW8NmvN23gLKWOu+5d+o9f88+81Z/e1aWg+74MMubgLwYiBmshtxrn1UsxoCVlgL5riKcBeG9IF66n6iDoL5ZsaYE/Y6lijKyBdz5MqA8JdQp4JRqSzpOIeN+2eObT3dIqeA4LczqPw2Qc2Rsxlwk+6C/TH3/ntcfX5N7mIgGb4xBUz/NFelMK9homCYsADX5cKEjvN6iCU6EIuzPVIF0YdsGjd3Za8I7RkWjYJX9e7Q2KlVwOk0Yxoz9tGAaMm52M9YS8e5y1wYtLI568trMPPAwqRogmQG0iLQJ9KJ7FctiFcGoQGvGbIe205Ra9tLq1tYbwePPUqcMK2tMvF+d1995D77UqM0AjFaF/dTHPBNocAcirNXuz/6/WM/btSDM4TquVrVsWmibyrMCYo4+s188pORiaeq4hf8Bp5ZCrB3Glqbmwala1nuT4aL8uUIT1erCRjEtLMxwbl8hM+MVk6B4j8uB1wwrEM4BZUx4ShMOI8WmBrdGAJ51xGPZY9GIi474j/MX+PB8QDlxPmSaWIv2grZJAZbKMbliKxCdZe2QKzNusq+Ra7I0x4h1c+lk68mQr5oE2PX6bV9fEAaUjR4H0MDfVGCo2E+ZdNTEAGAtAdmDkiKQhYFDXPwA4rzEc0B18bXo9cFoAgzBDu942XhAFjx0Cr62QIRBPa6CXYITdJTW1TN6gmR95YbATCxrDrnOpBLIaQ5IBeCiPUqhp7BZ2416DyAsBer9VxsgsRk3obOrIw9pWVnKAKsLw5oh2db8uBlwbx3lWW5vJVQVbGIfTIFUrhwtP2zFeuE2xU7bz2qOf7S6Lamwdh0GQBWQoudlGgawpRPr9vI54pITTnnAQ91jV1dc9AE7UTzXgPs64bHsMdeEVQMBPgdasrXWGMfPqIuNJh4CsJuA5K02hBGMsWviYs6oA3omQFFHxTIa20UE1WqLQyY7IC7aFGWZFeHzee8/F8opk6LcZciuYH+YMZk4RRA1Ea2AvCbIHBAvrCOTzClRQ3yz7cMGRAFNJd8VJL33s6u5A+jKyR7sbs2ZBQLZnAV//pDpKIaVZ8r4bPNrAWrCa2YMxwSvq0UQCGovP5m5JnWyBiJRUCODXRdM+yz7HgPy7dT2QKPo1nplp2W1GusQmiiQmH4DNj2KW/bWXmHhfowigBil10oq3Fkrg2xsgY39QVp223tCb/UHePN9zYWVtEaOHzMxIQsu+4TySnApCZ/KgYwcfcBQL7ivig9lj9/mN/jr0xf47nyLsoY+nm7LRa4yXCqgnsS+s0g0RoSlUjcgc85kD6wGWpUd9Trc9jKApI1tWRSzj9QGkR7stOyt7RUxv+WWYmrjlDEMBXd7ZjaGTc9rEZZZ6SVAltDBItAmMDNrAPVUEfYZdY4IT6kx3erIjBBtL5pIkDMzggkIEYRncLjeAA4eSUWjcG+p6iqCyiQpM4IgSwfKzKha+6qrThKAnRNkB3hAwK4JFnRW+jFXvsyWWgH0nuv2s3g2NpvtV8mVXTrGiLAnO8XXuYQAHRgAT+/OPL8OA7L1Pnb6eVzMqXfg0s9mZ4dE4PQVJzkaLXVr99MFHeQHeiu7DKQTz/XlzsADAd7Ph2bjbtOM73d3OMqCR62IecFv1p/ikFbcTjO+HWvTudGcKSZoa9lfeS+YPiimD8D4xH6ww0kx/W5AmRJ2j7SbwTVkIjC+uSClgvN6A5WA+pzwP/zmZ1ieRwwDUJKi7imK5qYoS8R68YQEoJZNrEDbA6jAuiTq4wwFKVaclwG/Wl5jzdH6xgrSU0A8UaDr6RdAHSvK/YRLmCDPsa3/OnJNnR4M1TlW1ElRR7aeiwswfaCvsdzR91xugTok1IGZaw3A/IXiEgHvQLG+KdjdzljmhPIUUDMDfx0rUBPSs3W3+FLaHpQK7N8phifF/Frw+Kc2FVZjP98FQHbIO8F8Z2DDDccoLtLUzscPbHEUDLDk3LBf8XgvLYAtO3RWRqFadsjGNvIgF0D6jll2CFBcP+jEOMPd4rAC8mkAKjB+DIgra67zRo05zsD4LgISsfsATA+VyvHHAAEwv+U+rCP3S1gUh7+YAGW9t0ZAPo74ZnkLGUvL6AN0o+aScC7MzA5DxpQK9sNKwHio0CKYvwDyrWD6IBjOpLT/Ia8/OMid5xnz3COOh4cHAEA5DJBh6LVFQHNQZWU2EhVYb0KjMzJb2il55aAoN4XKmM8BJSpgmWgNgmSZUU9Vu0CFI5M1gQIjg0KPBRIVKIL8TEf1uFswxoKvDo/IGvH9t6+QTkx9h5kG3ca3Ka2Jip+T1luO8KSYM1ZHBlXpzGdN5xeOkB9sjf7Tf5cPlAEXqyNg9kCRVJrhBHgAhFVRVyUK72MbAN0N7f9iv3NwofUoNoQ+zJkUUKCPu6sN2uHuga4sBeG8tqwDD6iCsATIkjsimiJku3xUmcmMoQW5rsTa0F3Vlr1xNKk1BR/U1OukBVkJFJfYfkdYu9x5XI1OZplftgcBxSSGAedjwmD1WwEVVQMeyx7f5zvclz2+mV/hm8stzs8j5GwH5m5AjoDogtyapoIHhwuYpNRUG5tieDRl5DE0h68HuaDx3VdgKqjniJDpLTj1XiOQ/XO+d20N6UBEDrYMdVDE2xVpyDhMC4bIlRpSZtBzmQimZ2kGNCx2LVfMm7n2y14NpSO1SDKzimyr0tUYywDLmutVUJR3AjXxigZcmEJoc2Y3wS6CoJ48UEwIS8V4X4BqNGIPMrevivZzz8bIFmOxXs2SM9iGKUGtXctngW4UcsVyhcyWWWvCPYXfE9hv0DNcYnW9ZKtIC6K9lrIGMWfD6lQteOUXGtNgoGCPNuOABszFpduAMggk8SCSzP3kdsf9XrYgAi5zwJojLmXAqY54rhMuGnHRjJMOeKg7PNep98r1ILcqyjpzLKYBeTveFb3uJgVo3GSyWwbRWtQsBACvqOuroBwqZF9QLhHBaI1q9MdBseld6LaOa6vstLEYaDcVw92CabfidjdjP6xXdWvFHCPSo13AkDU/uqLXP273lFFEvVaKga4FuDMdQIi1LBN3YByM7QE9M7qKcrAa4oHqw+mZTkqcBaGEJhxTB0GdWAbiwWpj2ygp+SgGvChrrcTt88A1E3Jhay1hYNvWdBCsNwkI4PfPhYrMawBa7ald+7IAuxF1Gri+7ExXjJDkVGQPdt0ulKa1QdCtv8/70nenX9r8ZbcZNrZbNohTUhvwoAAydQWczj88cn6W1wGlBKw14r4ccAgzHmvETgo+1RGf6gHfrq/wm+fX+HTeQWdnHSlqVFQQmMzYBrkCnQJ0nfrPhog4V7K0ZmdjJORdd6rrXhHvFkzTinVJzD5dIuqajGprNs8yHf5sLUBqACFtQni9IMSCaVpba4230zOWmrAUZvZCrCghIMx0/qMFrs2+GmgDFZSpYpgy5jXS8bX+l3UA0jPXdxkIqAIdxImzlUbAVJ4jkG/sTPZ79mBF0H4OZbZWMjCcaNfI8KmQc7aaP56PDkgqrD48mbL0MTQhslYTX4HhKbMEKgXUIVpW1sFagVoGDplgaDpz74SZvaDLLqEcElQD6mFEb2lm54AEhJllBJoi8s1brDex2zNFo0nnndv96z91BOY3fM/4kSDXltWQLszcbsWrPJBPZ6AUQf2CbBYRxUfr+VxqwNM44/3dDV7HEz6VAx7qHh/zEXfDBac8IO4K6oX3W/OKKgUSK3LtSkN5Jzi+r9i9Xxs4MT4Bx98y0IpzLxFzAbgfv37EzTjjf3qaUMqAcI4oTwdEONCh0F1BmEo7XguAPEvLnsYM6ySyrRcW1DlireyVOqaC58uIy/MILcHSyBRPGx+A09dA/ukCXQPCA9vQhJkAVD4oypGOiDwM1Be5XRGGimUckPeR9OxfscuChoCyp9Lz/IVi/ETBqeVGcP9fVuBmZa1vDkh3C97ePuNxmPC0HyErgNsV037Fcj6C7DNgfcX6//Ge2d39+4qbv3rEwz+8xcf/hQJRMTwN0AVYbynSWCYGt2xzqqiJYF48s2fu9NFK2IypGmf6W3FVxAuFsZ5/HI1Nwve0/swzsPtQG+tCA3D76wXT335A+fIW9//ggDIIhpnngZeSxBkYP3lZAb8r7wV6W5ufIxnYvRd7T8X4tOlXu1Msbyt0qBjuFux2K5Z/+wqv/6JgPQY8/gmD3+E+QD4GXH4K3L2hqN5aKDJ2KQnnMiBAMcSCKWXcjuyFHoaKmgP07YqSKi7Y4fCNsVv+gNcfHOT+i3/xL/DP//k//+znIVcE3RweURoFBN7exdt8+NlZQWfDf7ahuNSkLdDxFjcv6ZBNzU6004r9Ypl1KxBQ8loF52UglRPAWiLkFBvy0ZA3HzD/rALiFEJHabeovhkyp4E2KpCjiPaeJmYAkNqR1II8tvBJz0Srw8oasmDZbKnaDwV3HqIYw1k+c96JxpqzX6p9p33xlRDB9edajaXTREVQdwmSAlF/c/rh3+siQT9U09d6yNohtvnjReguOd/FGjaiQMLBdqqZrxmxQzW4la5G+ckc8LrCnEAL9Asz+fM64G8uX+Bx2KEi4DZc8Fzp1JzKiN+e7/DhcmTtxcpr/dXyb/CXn/41fvAVA4AEpNjbcVQLuNRFX0xYwsRL6qaW1gME0e4IasRV6e9VgOv7xevBWz0hUNeAjITzQrDDafnzmljDNUeyElYGHj7mpAS+eC4bu/aezRw57Tfah14Kh1D8wwAVv2/bq1vUp9r10sl67jkTwxx5CcYk0NAAkytxpxQbwEPRk839e9uT5ihVYLVrb5z8pqgs9u9A49EUZsHPXH0vPLj5AYNaq61Vm/Ng+0s2WS2vQfWMIpdAGz8XR3Hhj2YrXclYfC94kGBortmseU24n3f4m8uXeBp2uA1nfBGf8H25w/t8Q1XOvMPTOiGvrHUKGfirp3+Nv7z89589khhzQzaUVjqm/ntA4aAVmn2mM0ugEWLDKdraZXjg0oLOLUhh9rzVCdr0SBaspwEls1/ydgbWEkiBz9IYQABaBsZZCaQIgqwDt0Obz/jf0WrHfd9xHqRRC11gY+votxtKCkwVmgTFaPl5Lw2UBQJ76Hqf7FxZV9tso6KJoaXQxjrkasrQVmduVHoJtkeq1xMq4hwMQS/GjDCwyIFKBffCZHWrc8FWVZw0aWul41kny+C2lkeamu0IharVba3HTYCLPteAARqjtGhPKn3S1uvd6iJhAK33Qff2PfEkOD9NeBcrfvXqLU51xDEs+CY+4/vMvuffLbcUYquBIIydDX/58N/hLz/+y8/WOesvTbRniOxEEM2OAO0Ma9THbBkRFZQpYVb5QbutRt2MC0uf2r4Sz3prW/9SBeU5ocQIrQFzrPhWgKdlQgwVSSqelxHrJUEvtOdhlRZIhxUYnkJj5wCApohZJshzwvAgLUPre7RY5r25BraOm0+lfS+VWYBBW+18HVmOINWy14U+TRY66WVw8C7QVZhLt5EGvDfhMwUkV6SLAKgtkPaa3JDt/daGznVdtmdPewYXsgsCBdlBjYacfe3b+VWUZVXtLBDUmwN0iNc9phdFb/vUwa0ydhXwrchYK1lLoL6FgQKtR3TbZ/Q5t8cJO4MILs8D3j8fEEUxDRnnPOB3y2u2EkLFKBlFAx7WHU55bJnPmhR/Vf5H/OXH//dn67zsqPsQl0Q2pc1/OqH7z3afZSfQpBQ7KwlhqCi7ivAYkZ6lAdgQQM4RdQncyCZaVAcT0ixoDEgYsQrWt5z2UbCuEWdBZ50BcGVxZ/KEVYCHhFAM2DH77EKEGhRhYX26BkHGgDJUyCU2RqADVD5Hba1Hy2wGQBZBPScq9C+CPCSUSm9T9wU6CgZjWizowlbShJqYyLq8Cog/O2K5DQgXy2iu12eTJ+sIsm4PESYepk/GqivOrrPSyEBNHxfrbe2MNvEF4yenP7sNFehxh3wYWF6UQK2gyk423nLV9VnqCCA4Iyk22nfzC5VM1LyPWA0IDkUQn+m/rXXCmkbsVoJXeednrINTNDqlBrbunAcsIeLxZocginMeWj3uJ9ljKbE/3xP9l+GJTJ/6wk/7fa8/OMj9Z//sn+Gf/tN/2v7/8PCAX/ziFwinlVnGWoGBzaj9pSIIU+wCPR4rWd2TI2MMZnkAlBtlBupM2W2nlJWxG5WatNd1ejBgZyiWYJnOgjAW1CI4PU6ACh7qEVgFu+8ipk/XwYf3glpviM5JAZL1LGx1WjbJjd7mwRrQaHetb5h9rol1CrDeVJSbinBccXt7wbImXD7uIAuNeDxTjn3/vvYA3JDQGgTBkPmWiQW68SwVWPi3eLDrjj2AVnflgYU7/57J0ggU0obzHQPB9Lgwe2sBCDSQxunX3PY09WtGQbVG8fBg19uf2MFM51cg0XCQDUK6PWi9T3C1taTF1lRR6KpI50p2gKIpvEoF8kKxkst5xL9+9wvcDAvevzrii+EZhzhjkILvl1v8xfsf4XweEZ4SolFt/uzt/wG//Or/CB0GZF3w//wP/01by5oSMArX+WD1r6rss5gCADqxFCyB1XLR+XelYfU+zIHruIkAuDiUoNf12MszrE2huQL1KaEkxakCy5gapW1dI8r9QOP/bIIjK7NnvoZ9PUKAcu6iWODUGO1TO50lA9Ha5jA7Jt1BNeeiqGKFUxjB2sxBSevzPZAFYSFnxpF/jQodA6oAQRMQKoOsTe0rkVPWDor1Hu2Dg0b/DE5dLpX1iCIUjbqqObQ9Ea32NIJB7poJWvj3WO0JnJq82Wstw2tUuuAZMOvJWyPtVTUBJXUK58YWAGi1PYDXnivBFlWr47WfLbUFuzUp1hveU1gEl6cJ70rA/0d+gZtxxv2rPb4cnvAhH/GYd3hYd/j+fIOPlz3KU0J6ikjnjF+Gf4I/uf0nEF/nH//vNkcVkhfIskKHBBmHz9ajWIDCVmjSaG51VOjBFk3l3JVDhayCeIm9fGOUlunvtG00m+msoFiB8N0ADQMef2LBq7BV1mUZWL81E7D03qBl584/16c7kK03r09hRashShdzas1JYBkKAKhRbSvy3nqyX4GsvFcdK/avLsw2jgPyGnAxpzKdBMOgGE7A+GntrJrSy0Rc5AsiKIcRCBSJkiUjqPVfNvBScqXCpoplYte2LzQIwmW1+twKWTO0Bsgl0hZPERoGhNOC8HTqa1kEumbrdWi2ehVeB4BcVgYrN6OBHrA+iQTyitWtOlvJdTVa/b5le0sGojGgRGsHc82hI7BbMZpNiWuw9iYB5zDh4Zzwr6ef426c8deHL3CTFsyFVPyHZY+5RILYc2g9L//+j/9r/Onb/x1kXZHrgv/21/83AMDw/owQ2L6p7hLmNxOfq9k5r5tzarti+sDnnOuAcohsqbEr7aE1gTTOoIjfR1IHfY3YeqlJUAPVWGUVjN8lZgqPETkp3n2a8C4q0iHj7vaE02WCfBwRL13wpoGQBYgfuKCrsYDSSVA+jUgn4PAtnd2tWnTe90DLS328FRSMMZJO7l9xDOa3inKowKsVP/riEad5xPN3R8giWKPZghyQn1iCFtZobAbS4yVXwBg29TBAY7D6W0G8FEwKlCkiHyKkKtJzZulJYl142UWstywnCovXL1rGXZw1JU1oU6raWWAsBBHoEExcaqZPY4CRHne4/OyG7V5uyTbcnzPGjwvFkQ5DKz/yEgvPcNfRv0MQiAEh79Hovxo2tZkzA+yQ2d5ONGA9MIgY79mqRUPCI26BqeD46oJSA/7tw9f43fgK/+j4LX45fYcKwffnG7w7HaDniHQh1YXU3mMAAQAASURBVPlP/9H/BX8y/58hzxeUMuO//dv/KwAyBk+jYD1G5AOziMMT8PbfrUjngsuXA5YjM4zLKwaxT5cJuUTsdityKigfb3D4HbORpyPX2/QuIizU18kHBULPrJYjA9J4CVY/Tkp0HYG6J4i36og8O6ppf3nngFGRlTb95m9jC3o1WksiE1lDIBvt+Bvu9fkNwartNS9vpDEpvM0O63mF2grJ6nbPEdMnQXoGnjBg/jIhxYLbt6zZP4wrxlhw0juM9zwXBvM/738ZsdxZ+6GfsB3V8GD04QeeL+uRayesrAsOK7D/UBBWxePPEi5fCMYHxeu/YG31cjeQmXMqCHPB5UcTLj+K1mKSz5eee+mP+xh5z3EcToq4KsoUcPnJDebXEfMb2oFgINlyZ635TMtCgmK9pW928xvF4buM9Sbg8iY08LJGweknFPwKizFfV2D/aDGc+UAageefSPMndQXKnmMPAGuOWOYB9cOIEhXfTLc47wc8XiZcLgNmGfB8nqg6brXR+99EHL6h0+B6J3/I6w8OcqdpwjRNP/xLy2Lptl7IHVSACG3LEKnJTdtB6KiiAgLhNTw74J/JihCkd7LIRFE1aA9SjXZcR0BVgSLQzGbZrU2K1YxtAyivk3WFWNKc+ndvg9xtFjdss7gA0TugZyl9aF4ipUEhoTtrLO7W7iRu2wdtgYqWDX+BXoSwyfjVnkG2eWkiDo1XQoPkLV1a+5RaIRrZ49bbbLgD9ENZrM3cI1fLpoW/433X/22iFZ4F2gS47SOe4bHPN7R8kzUEcJ0hNioisqAsAU8XypF/WvcIophrwhQyHvOEdY2oObS55HAOCCFCQ+rj2G5aGBxt6kHbrwpTuq2dlouEKBoLQEUhMHGBLSK9HaPN/LW1VT2ukoa4OQBSl4i8nd6FdPGw9P7TDpg0gQPt69Idm+tsM3rG1sfXKJui0jJ5DVXXzZoX+0AAEBVh7CnXKsECfrla2yrSM8EArOj283X3gsbM7JP08fY5AnqQWu1enC3ge6LUJmrVPifS17D2+rnPvnsj0gOgCaP0bIS/z/4K146uj/NVoBR8PPVqXWxtiYvzbJ1cXQJyjHiaRxQVfDvfYtWIx3WH5zLiaZ3wtI6Y1wS4erYqgkQEsZKDl9tbhGOzAQc8Q91ANXvO1sbDSg1UN2vb/+3v36z5VrulYPtSq00Scw4biBmUQm1zxGUeEGNFjBXrGlkTuW5YCGpT4ueGA5Cls2H45WhrdnvOMIDlHvXnDLmfR214NvPq6zxGtq8pQ2T54bYu34CaNrbbdeRgpI+vrYe2TlUty4s2d6RdgnbXmTY/sAc+Y/z8Pju+BUP9OX2s6uY6XgoTemDUbJT0s1S34wO02rzgFIZt4LcZz/aqPkdm64rZsFXwPI9QFYgoHmJGVvZcPK0jLsuA1bIPjWmCiBBGSDNu9p21Xn1x23v2LFeZevCj3pIkrIDOghKFNEvd7N/2/g3zy8fAauyvzqvC+6IOCNedVkVZIs7ziHVJbY2H1e14X9/NRtuYbRkKm1vpz2if6WfuRj9AQTaK/9nMkybFMBS82rEA9zkcgCB9rg3cC7bP1Frz8Igx8CSg1aH7GnetDwAo+0229sVLPrP9PrbaqDFtfzc70/ey+hm2vZ+6sWvi46Kfn82+DpT/3rKwtm2Krj734hlqBMsPol5nozfXkwKES0AVpZBSCVgqaZzv1htMYcU38ys8rSOWnLBVvpZhQCzCUr3trZs/67Xz/v46Wgs6F+ryrVkE82VgeyIV8zmwAUrs7C8bv6Jgs8hoQxGBmhXRklfehglFmNUFoBoouBYVpagBa/a7QNMfVjRF8pf14P7yZEPLmE7UMdFmp6hkjc0Z5OxLAHamOsjJ389rQowVQywQYbeOpUSGETuuobgaCFYsbtAN0Oc+pfT7dkZIWKw0QHHt4whaGYoa+6sOtC9lYp2xRrSypW0ddYnMD/jPHFDjtdBaIQUbO7V54prg+dNjlD7e23aZLZbZ2G4PmFtZmo1x3oGsFvcRio2DMgbLa0TN7iOz9edSIgrpcK3FljYjhEb/b2fk+gOG4gdef7TwVN0nYInQZW0iFxqC1XN1RzWdibxlo5144XWr+chWDzgHuPiNVGB4Vkz3xv++dOeYi43IaliJypdRcP4xA12sEUDsgZIZ+JB77VbeS0PexntSBNKlT6C/rg4Jvf630wqGU71qf1PGgHXPhVp2VqcYQZrAc8Kn+YabYAnofccMETf1vzoIJADDheqEUIVOsSksQwT5ZoQOVoflfaNcPbDQidIhmDpzgay0BDoknuPzAlkzQt0IWZ21ZRs1hY2zxOwAimXtY2DGbFmZ4bW0bFgyNFqWIgYWj4+2Vg0R9c2Y9zDFZ6sNFUWdBBmOhhoi9mS1LYkbvuw5vj4X3oan1f/ViLyPeFDB87RDLhHHcWmtdp7NgWg92NphI2whs6yQ2mvQZZP9E1XAMig6RC5Jb+tRWKvLtQvUhXNeR96XI2le+x1dqMycFg9MATTH3ddwHYgaa2T5qEZBWXkPaoF0zF3Uisp+3BvDiUa8Z9XVMoMwajF6feSGuXC9ETbOlGdeIrpzjX4dTRRAubs9o6pgzRHrkrpSn8AobD72m2uEjhy2oGrua1sH9njF6q1U6Gm0unIA6oiYtzWrpM55jW0L2ETINNm0g0K1el2vd3fl+MDPNMfNb7GSPREWayVQBGWKKFWtzMCy+nvzeCsP1urOqNW4au3U57Bu9qCr6q7Mrg/P/LuORP/rLuJTFTwkxcN5hyEWNlyvrGXMa0RZWdPX9GxipFDJOFw7lQGoxz3HcS4IF2tVtmPtV3peIXNBnCJttWfrRqDsAtYWOLqzYtneBV1BfeG8D49c166kH2djQUyk+zIzwv576UNCeYhYR4VOFbIGjB9MXfS51y65IzGcDHg1h3orVujMBYocasuw+BqHGKVUxJgZlYJgdpALyS2ss77JSLuMMeXmFOYQUXaDMSi601YmOklBbO9kCtlpjNAx9iyqBVxidbBhKWbjKlrtuWqzU2rMkpoCy0ysrYpnYj1gFWNAaBTgsOPnz3Nb0+pq5jFAQ2c6eH27KDA8rfyeKQIILQOeD9K7H2wCHwCtpdhoWfOXQLCPj2s4NAcvidGc7dy+BDx+POA5VbwLty1So5B4AObI7OAq3Ua5orVRt9v3jYnBUWVbvKkoabH71B3+DBaRo2evpQrGB0E9CdZVkL1GdKQqdjiZmvHF7Tn1Opy2Wkez4cGe0YVaMgH+6sH1c8LlKUEWwfhk+h8nrnNOBudxvZHGfPBxdGbT5S29QfdJpo+K3UNFGXp7RheFSWf6aPNdwOULfiZbvXk5VmCsOB5m/OnNB3yfbvD+cIOKhPAUCU4ZINjaBAaw9WGprH0WGCU4WjmAndkfz5D3nxC+eI3lFdu9lClCBrZFZCaoWl2rtM4RUijEBqfxh67S7xlkHaK1C6oIT9ZC6GZHHZnMPYIoGD/NzC4viWrQS0WdqFPigATZB9r8x6pAsHpFB0So0bI5P2sPZvLB6NwA0lNpfmyNwOVLwXrDIG38EJBvBMuRrvlcEpYY8f/65s/w8fEArQwI6hKpKzMLx+dMBsf2PASA279V6Gv6xuODYvytIk+Cj/84odq8e6AyfaLQ61wOWAYTl0oVOBY8/EMhM2tXgDVAQ7wCTOIT1ZBrAs4/KdB9RT1U6ERquzN3hicBELm2pgqkiuPxgmfsMHwMzPhaNwk1X6JM1u4nKuJToPDTTlClog6K89eMH9KZ58vlxxXpJyc4HftyHrD/dzuMj6DwYTQxW/frDXw6/7iSjq+C8tsjdFdx99UTxlTw8f6IfEnAvuDD/5LiqumR58/unWL33kRUjU7s2dblFQ3h8EQRrOGsmD4V1FHw+ItE8UXzdebXgo9/vmuMIveRRPm7y5cUnbz7a20CiQBw2lE9e/okuP31irBW3P9ywvJKmtBjyMDNrys0sD1rHaUJWGqiMKq43VPg6eeCx783sFWSCdA7YEs7xLlKz4xT1lv+bnhG69kLMDCl7+5nKxCWiMu6B0aF3rCOfF0S7ktALcz0axEqXP8AcDQ+VowfF5T1gj/k9cerK3vdVtgEQw0F7I5gF6ypiAt5Y94CpmWPspgoFRoK6uJOjV8u2wOSoxYviuEZCJNiNsVY/7yjkI6suiBAQ/ntAKBjiebsXKMW7nz47zb/dyM4mzOUOB41btCRVrths2S0DBpCQ7gCoDDEy787bIKJQsqihi5SggjSg4fQ6qd+EK03dFVWtIPen0WKZQNy6XVh7gwNcSNQZXZ5m2GwjJiuK+ffggfK/StPghewbKOWO0XNehIqABcpqFFZr2bj5tleceQ1GF3IG9Nn7YeRoNEoVBRlDigVeBonLDmiGmqUc2Dh+jYDCVjwU6E5Q02Btr2cnZC1Z1AGL7TkeuzIuguoCMLIL6iqCOY88dDswW3748tabc8oWr2bG4mqYA134Q/qpna9tzRw5N96WHqNkVkK7zvsgSppttdrZysY1ifQlqf2rPBnLz/0A2uLHFgosaJ6dmfzVd72CLa+1Gts23i4KqvS8Q4wB9XWYHZoMwDJanx9vtqXKJrA1Gbta5Dm2Hud4/b9zTmW7sjxPdqCEvgezRWhBGC19V16NgfotoZnyXULm5bl9fmvsLpHaXYANl+kj/PAThcCQvmcUFLFqU5E85VZFq3Cdb4GhM29iGUzJAT0mgqOWR0i6hQRqwJ2jrSyA3OiWt2cECWXapS0SXrm0xzx61rvLs7jdEPPDsYLnUKpBgwoIJNd+8KFVSYlGWURU6TvwJBnFxwkoI3ThuZzL3Xa8nbf8XDXnkUE7Uyrb+qs1M5CCYAkCgMxMcSMbq3S2ll09gnooFdTns99TbGlWDCQ0NdcX7dtzW72AbwspVRI7GKCtKMWlG6c3as1DZgDf23LexsNs3OWgfZ+pmLCWAGADqGNiwMnV/W42OxxA3a8nMeVQ9ttCZjd2+4Hkes9YeBFmU2FVTcfVsBVjtt+E3z2fFffGQlItJ7aWBFqZB951xLZZMc7s0ut9yfXoFibGrVa9FBAHYQNUBgX2tjgwbdR8qvCWvLAbN0GSFnpC7lGh2dy2TrI/ZIO3DQn0p8voPWB3s6Lq+WXyQbWszfawVX2gTZByESmGQQYUsFdOuM5jQhBUUM/dz3Yox6Dr2sBQlee1+Tio8IAUwCsGfX5BLk92nR6Xbf5Odb6ja3vBCVEiK1FWAcPMsmAUM0m52rAhj14ta4QItDbHeoYETaMH5npaMchtLPUwTFnSDTWmWXfRfRa/BBoc3W90MzuJNh4Sj83+JgU3DtUhMfQaL15DSgxYC0UFvz4eMD6bs+5MGHVK32TQpvwcp2PjxXrkessLsB0X4BX7INaJgAfpAW6YeG5MViXgFXZIkinChyKPbOiFvd/zX+tXNvDk1o7Hun+XKBzWwusDJF7KyTAS+amIeMk2kDQ1inM/e9o9xAUgoCQBbVwDDh+PFeSJQ7qWPHm9oQYKnYp4/vhiBx3zeaHlkG8NiP1UBHvFpSHEcNjxHZLlYWtjXRfMNzNKGvEOowop4D9t1SuzpZZLypWpsa5VCFFPF0YnMZLhYaI9Ui6d1is9d3IABRATzhYfLDeKMqxIOSIdFGMj4VihuazVWuRl54Y5GqYkHeGbwaBnBTjU4GKYD1EaEIX8oUAo/lEZj/zUZGPFcNjaH2UPTkRMoDW8pMLgXHPxtZs1j81L3qgm04UiiwC4JaZ/FoFtcZeGValZfzbBNmcSVakpwXIC/6Q1x8d5Ia1AnGA7sdWQ3H1amiJ06xCEyGZPqrx7AVlL1cZ3G0avLf30WZIVUDas2W01iOdxuEJTTK7O5CWNbN6luGBiy2sRB68dYQ7Ll6/5XQHd4rYUN0cXB93Ew7RJCgSGhWzepucQNQIEKvHAYPuZIGk0kjE+0SJ/zODm7gA6VTZ0uB5hcyrCWQkGu01A0UQzpkO55xbdle3QlHBjLgLjQBoNbYiVAkO0tqEqAiw44BLrsBagdLVnfXmQEO6UskW48C6vRhw1VZIiYxXywKkc+nS70mw3LImAgDiGQgexAXOKwKdhbg4gs4DNS4VYa5Iweo5N4CA/wnZENUqgETUFDHPEZdU22aBAAjaHPxO13UnU7FVFtHRVGaFh7XIYAeyBWQb2ngwsYsRnsXwfqLSshq+Fl3d8Irm2vYM+pyA7QbKwvWeM/+uTUVW255wGlE6M7vtwgW8N7u2Ba9SBcHHY0tFtSDbWzZ5KwdfV96GotOcGOyUCoQ9a6Dy84Dv6y0NZA5ADuwJCGNyHAPSRTE850ZZU+8dmhWNKi/SLZWaEE4FnHLWhKNUgXWz9oEeAPt9h804+ytwHmVZWy2v7ughymqKz0ZVF/NO6fgnNHqzB0OZAE0LoLI2NVTdMFHcafc+xI0+GFnKIRUNEGhZRrNHnCNmiFi/KcwGxgAIM1F1JPLti9Ip8m7fnKqtuUDr9Rh5uxoA0GmARkE8d7UUHSKgyh6nJpoXVsF4z0xaoxP58BZg/LRpI+NOsXIh8tmlAaEMKBQBzNI2WjBo2/WZfdVdZTrOiri63dQWoLRAFlxLDq55AMKA2qbDakXjzKypMx68v2ccAtIloAwmZmKH9RoHLEvAp2IMpcoymXgOXfHZHNEGmG7om+wTX6kia4FqG+cUsC0B8VpbpEh1/ZIoJBUCwlqgpTbmjSjg7Z7U5jo8X1inOw7QydbuODQQxx4AyIAgwnslMvBq6IjdS0WQrn4/PhjwtnHsGr3Q5nqb4RWgrRNxEDlTjKvadLtCsqss54NASrQsb8+A9rHta84DaqwZKBRQ1LJxinz8Y4COCXXHun4XtQug+U8nZhFrFBNu6Q4s7bcYoBjaeoMa0Lp4cMavHJ4VenZWgUBnfl4FrRWVa4KExRTD/Szz2vGZ9YTFMrHNcTzTifT2fJ5F3vpSrhzegu+Z2SUA2H2qGB4zyjhgfRbUmVkgjYJ6FtQY8T1e4V+lP8HzMiCfU2uh9DLb4noNeRfZwmfzckGpsDDrqIcJ8vOvUW8oRS2FNashV7iw2ks/on3ewfiNTYQC+dWEOhL4jxfarXrcAwGo+8TWjKqtxRk8O+zn4WLfjwH5GChlUhjsDo+KOHMt5COgQVvWkcA74K3eNLI9EOeHAWdcWGOu0Wu9gf23gvFTbCCGFEFNI8o44G8fRgo7FQGiAaeXQNAokh1UBwFbkERoKVfGd70JCJl1v1KA5TZiPZgt9KBv5drzDLz/bLwXaIjINwH5hu0n0xNtffObn7lWocw2AsD0LgDvA5Y7RT3UHqw0H4sZ3eFRcJEB57sB47Ti8l+cUdeI9P2A9NzPK8nA8Ck2X6NMzGhOn+hP5UMvhwwFmL5P+C5/QduXSIPegV1N3JenkJzV5u7V+uhqU+xVcB5OpwlzZICtu8KA83mEXCKm71iXnI/A8xiRTorxUS32ksaQ870fV2DdC85vRuoqVJjwrI35wrOs7ATPP2ft8eHXAbv3ZBCIUn+CvqAFuGbnPGmy3o2Il4LbX624+Z1gfhWZuU3A6Uep2ah06vXscYW1a+M5HTLw/DP6RBqA+bX7MmjMQghalxkvy+lIl63NnYGEQuCLGWRgPfJtYRbodyPPjJsCGSrilDGMGTlHrAA0B4THhDBL6zmcjwH3//gOeR2Bf4P/5OuPDnJlpfqY06XqyGBJ1tqzWn7IGfLrzsVwRjsQ1iybgdw4O+ZQMsChkS6DHVC2sHmwmjF55ueLtTXxF3tIqQnesCgbZ3fqtUl2U52TjqpnUarx4EPWRhcSNUEH+46aKKTkBtcFOTT2gyjsGJQjKWQjyKPF6EjPvaEyaU4FYamQc3e+ZbC6qFJ4GF9W6Eram9PbYOJAvFGBrCudG2+DYn+rCDAlSCY9jYI80oCKmK1nqTn/Og6or4m4hocK5EKHaUcxKtkKAgFAZGuVsFYeXDOpRxoFeT+SIlEJHrjQhbf7UIGh5Ruqg6E4fo1o6FEZLRhyFLkoYnYHyKhXCxHlVpMyoAklcJzs75bJu36WltUG4HTaq1ZMrsYJNFophXYUUukce6BL9Nuopye1LJS27Jejc71noB/2gryS2u5GVAogCY3i5/LzjooO59rBGMVnWRRXNtWApl7twUZYrDdnIYW2BQ8A8j4BW8GqCuv3KlgXoK4ClACdx+bgigkcwJy69WAOUtmsHcuUS+YcY4i4Ekpbu3PT+DWFzr9kS+VHU78GgGLOlNOWXyDd7TqBY4F5oePv/TPXzLZR2/pdABID1/52rqoilArNgNTYHEwCEILoa7sFr/iMuulZDHdUxdaGg3Ve90gan9uua5GcRo/b92dtGXcPGFvmuuCqf6jtH24+Kq2jEkTj79nOg99fqJUQBZIDxsfQygW8toljoJgeuu3kDaGDlea9dOAFlgXvdtkVVNurGhXQAKOQtbVZ8Ou3eVGwFlKIa8FA1rhUoKKpqvo6Z1sSGwJbb6RncfC4B3pWomSi/rxRAJbVdop2C/BE4GAURLq4WlFIYYs3HVnu4K3dWs9nz97mgjoOFFvb1NF6z+caBhPjY8ZdESiWp0ob/nyG3BygO7b9w2CgqYsIOnNhm913m+EBuNXmhrX2IPfJQK6J+9pphlcvB9O2rwBmVLNTUj3odQq5YLTaq3ymza1DV4JtonwDkE359er7coaWCqwLKCvaf0VROQqA1Sm2ukHP3qsIsCrb0g0CSKQiK3owEL1typMNlQlk+txL9cymtacy36Rs+56HnuWjSizBHM+wxbP2djTWPq+xQrI7rWzTlCfLbGX+n2cM+6NutRBC4RofrfRhfMiI54xh15V0g1HFmX0ELmHAb6fXzOTNgfWenjlHX+cESdmvlEGfsyEMNC09yC37AXo7sfbQ9mucKbrWfJgUUMdwBeaLZWs1Rp4R1W4gAutNwnoTMN4XpGcDLfe01WUihVmXDYC9KauTynsLlxUhBUDThnFFxiBO7OXsrD0H2z2zHsxX0UixISgw3VdM96SpulJ0MFZD/F4bKOTlWRRbFOgH+hrL64p6WwDPhoLBnli9JVk2tCm6AcbWA7BfmNQpo2A9GEBiaUxn17SkjAdNm7OJ3SAChqeAw+84f2QQCJKd5/nAVkohA/tvHPwSzIN0doy4vTfRpAuQDwHLknDcz/gvf/kNcg347y+/xPCYmn2QCgz3Rq+/Idg/3gP77xT5aIrAjamp2L0XjA+xzQfnmPtiS1GmKCFF4OrBAllnVoLfW06JHV9iRdixLZ5cIuJjwPSB11leAeU1cPwtMDxXA+e2JVdepqEoNwGnn3BfpRN6yyllgDs8K+YI5Lcr4iFDfnXA/mNBKPSDWt2x19uK7RkDGtYbJlsO//EBcv+E8OdfY7kZm2iaVAIecdXmj5KSTIB4/74grBXL7UTALQHrXWUS48RSrDoQwJGMVuvttdqA7f1opZfZxjxynNZb7esgA+mefZ4vppYtQXGYVsyxopaAogT70rPQ/i2K+XXA6ccBee3r/O96/fF05e3BZwbC1exqkNZYO5hKJReYIqi0eta4CNQoyZKvr+8OODOxTtllij0uFgQnBjpAd+KdutrQfHf+s2WoFsUV0uyLXx0147+50aUFtY6e+gHm3xcsg+C1RO7caQWg0gQZpJD6UL2he2VPsfTkst0vxlcswAJMzIGAAnYTs3zuCG3rJ80pclVMzpNlBVK8opH7+1v2rCiiOzW59qDAr3leNwj4QGe5bN5jn5MKhLkgBVKT4lxo9KeIMrKWz8UAQrGeXcGDXc57OlttnVO+Kg1r2XPDx8XopgoEL5LXvtkqtGWWfA69HhLRqTRoNXplEOg0QDIdRu/l2J7tB6jg3iO3i2nAsnl+7rIXXchAyYK6qmVJ/UDXXidpQaRnght1fqMM6/WOkrmH+GwWMNjB5Kh+KxEwOpoHENtMl1MDKdqjVwe6fzeEiqAEV2xfVEWwkmWNilqBaDSydHInTHqmPRIlj2eiwF5/GSxj28TOXpQEMK1j86Z+DwzA2udcJMkzYL4ONnN0PWmb4K8otNROxfdrudNf9fpzltHtGVxAgkLdgBT2+kxzNSZBsHugwZew+frqDjUajdPBDgIlfS23OSvSspwqagcfswtNOMIOEFzogNWR99eoQGL3JQA5eJ+PD9vvWF29EqjZ0iGvXja+cVawBtDr6/0QNke32VNrDTIYrdxEPzgh5tjP/HdDw/09m2tubXDPDKMFKgyIpNuIzXhuaeQcEzQnmKUGFQKCI1QRDm1dkSbt4Ks7G7GfIYUotZcJpEslsJutnY851W3dbV8uDGjrXVOAWi0fIuuVpFZgcUqGrXXHfVyZfFO6Im7HRag2DlwpMHN92v5Jsa3tsGSuFTt3rs6C9qwKV5IF+tnHVl8c1+j12Mvm843TDHRgwxwgY4n0M7nPWbpwH7V7Rl8TLhxWRzVnzCM6AYaxjZH/TFWw7RfvthCb29u+HHgfnplZqQZcNqonAG9F6FncTp3v1/GMbLXaWAeswqqWrd74GKU/v258iOFZ+3lp5wJga/wim2CzB8/N1ph9AdCYFVz/tAlOzfcSF6AH7ssTBezSA9XSHWRo5TdNdd3OEN+f2Zku5o8MbOlInYpg+94CqCFAJDFRUitCNk2SQv8Ezm4y3+dlGVlYK3tnz5W+iNPxRZCiCTOuFV7LLGuBhIAShVndGKj7oEC6WAcHbyUUu/3xft/uY3gGSxb7XaNI8a869nlwe9Pm1Q2Bz+Vm/riHBGrAwg9RQrl3BDqNVsZk6yEDeWI9cJmAspfensc7hKj7Cr4HeE/5gNb6jhTTXgrFc6aX3EgFkoF++cjvyXu2+qHgK8ej7OiSppMgrrSl54cJ6yXh38wjj+AT10PZK9YRrfcux4S+xfBI39BFqdz4i2e4R09sMVCbv+B708nqVGdgOHt2Plj2nKy8OAtVqxUoVaCqTbtFzpG1uJc+rzxr0b67sT0EV0rbrjLv+8sTOoDPs7Tf7X49oqYB00dtQLezJvIkkIFBq/fDTc/8nsurgHgIEL1DerPHepd4TasTDgXAPd9bo+koCBqr4fKWNYL52AGCMHtixubAxPJ0AJad2jrg869ZWizmCtNl744Hx7ZGBRLXoCe4JLOsKq+x9U6W9yOiAWlsT+W+JxpV/w95/fFB7hjbYUohgIo6Jqy3I+ooWA+BDYhPFfKgtmHpkWxpnXGVbnyFk1fNgNcoSLkinYo5R2yZMpx4eBChsvsxR8iFXILVJBJ1NUT0XBHnijqEdhA2pccCc27QKCXB6kfWA2tKXNTEs13MYhVIUeRjaoFwtD558sxnoqgKsxyeDQlGWx0fe39AfsgWfRTUg1XiWyBVYoRYtpXtgjaHhzusRSEPT6yXvTlC9xMPljH1328OBwr5ZNa1eGA8bOiYwQRN7p+AGFDvDtDDyAPCUNeebaPYRyyKcMk8aJYVuhtQ3kzIh4CQSUML5iTVRIPjmSSpHJPpY2koMIIg7wNyCkjnivRcONdjsMODa80NdTHBpyqA9ywOJnDm9DAEtcJ79v7Sw8Tgfs1b4J/UDc/4VXM0Peu9RYKNxsk6J3p60YJBIvAmLmSCFD7fzYGxTLUDRlIV682Aso8ESgoAELnTaA7miwDBhYliC5SkOZKN+u3lAyl0Y+YG12qBnSHBe+R9xwuzX3EuiBUohaBJFGYOHKyISw9wa+LBJxXYfVD2gjPnNi5Wu1gD1yCAnnLzwA6WXYLVjhsH0Nr9tLZl25okp+ZvAzivb/SaWnf8QQdPqjKz5WvYslqqyntzUR7fF54ta5RgZd2SVgwPBSmxpm7db+q8NtTbhpZn2sTQ5sxaB+RKMZxxE1D7ehJz5HM/+GsCyp6BobfVKTugTn4QScsYiPUd1gJcFZeJ24YKDAH5EPuzKYGrkCuDegtmnDY1Ptj8BbQgdt1LB3WylRustL1uL9zh9v0RFwYBGmACOdLZDLFT/llisgEsFA0QlcIf5ENEGS2wONme86Bhs280GMh1w2z08KjEhuzALhP3iSiw+1hs/iLWG2ntXVqJjFoZzEJHbHwoBqxyTdbR6IqlAl3bjrfi63zNXIPTSFBThLZbFTJnhMvSgcvt5l086NcOUHjLFBFgYtscOV3Q6tlFKEQ1JLZ/myLCJSPcPzM7fLtv2TKpBRgiexSGDqRJJSHA56yBDcqWGcOTnzW2xswmN2q6t0eKEXnnLetsfpt/oU2sjM4RKaN5B3ibtjoqcJeZxN0N3N+Rgfs1Y0LaxG/7rHqGpDFrfE+AzxNXxd4ovnmSVtvaaMqlXn1PXJTnFMgY0CBIp4J0KVjuBqx7ayPzxA/lQ7SkgDFjLNBxPwhQpFkRH4wRNV0H5XFWDKYm7vvS99BwrmSKberjnD7c1mUgfVGzP7dSHHKQ1uaGpQlopS9kRWjbd85kauyWbMkPA+pUBPmYmL11HCIr4okXrFOE7hLS0wI50b+IHqw6iyeF5it4Ta6zftKJrVnSaUWY177OVZFOMyCCephQ9wykw4VgjqTAEo/ANogAMDxl1Bggx0gGgZe8ZJZZ+b0DbLFTJjQQAgDqWZs/shwD4kobWKO0AM2BldZvvUpbQz5PaqKezPprX5Ne6mRCW+V2RNkEuXEB1jcMiOpk1N5iAcjKgM8BQ+8w4syC00+A/LpgfB+xeydGxzUbFgOKgapO0R4/8d/zF0rthEMFxsq2npkZu3LDvTC9Z3neeA+U76gKKPOOCsEG1C6vK9KPLpjvJ+zeJSQTRBUFpoeK8VNGHQZqHdg6JDjL5xwfBLsPFXkvePplBe5WhF9NmD4IfcsPK4YpYD0mo/9LB2Ur2VDrG5u8VYAiGD4F7L/bxAzCZAxsDMvAPbneMCBMZ/o4ece1URMZGs506er7PC/Ydk7x43+1Ip7Njwxsp+Zt2/KB1zn9VJFvC/a/jbj5tSLvgNNPuT5PXw2Iy4B4oZhu2QPrKwbMh29sDQ6klKezkJUB4PwV4671li2h4jk0gKFnagEtguVYIV/NdJPWABRBORCI2X0bcfytokzA/FYaSJaeYGwG2vDpEwHxyxeCuhPUU8J5iUjfDXj97zk+T3+vj1Vjh236D/+nXn+8urLRlAHzGZU1ixRfcse/O/N03vtgQdVQcbTsJ+Bo2dZB7f/0VhpbFDLOaBkvFTQhkEa9+KzdgbRr/b4WOa12yP7d/lhAArHsoh/aHijbRmzUUPsrrNebqGUjGvKJq4zO1Us4Vv0Z+mHc1CO3b/f/O6Jvf5y2KlqBl8Ik7cF9NUurs1XdHPqeUcuVyKq3afHv3apZegb16t78gNQ+r2agCH6g0ziF98FgR5sj8ll27uUUesC2QX2CbERwfNPqi89We37V6/sO6HTlyKD3qoeq4PN1ZNdvSnMrgwrPaLUaWPULdLqkU7xa+626cSJgtHflvWy/tgtZbYJoh4O3Y2MB+1X2vPTfK/rhu61j3e4JXweNZtjWtNWhbz7rwlkN0bc5aKimX3S7JLfZo4rP1tEf/PLr+J8geCkwddVewn9u/xef65c9cy3Ig61NBLdlgpAEFTyYYqKtcJEYpw02Wnt2J9lskQmwdeDkeoxELTO7WRfcT2yzJtvMwCaoaLQisyX6Q+NplM3275aNFwv2A6fIAR+/P+1OrUZpybpo1NmQt+vZ1o0Bmt2h01aP7KyYUKTZHr7Prr89D7Z72X/mIjTgOKpoW4OwvbHd91ubsF1n2z3d7LqdUQ6gQqUF2L6X3Gnc1h9vyw94cVs7AVDElnFqY+8BrNXW/lDGvffV27AZnNnja9TBzBg6Y8G/x8tX7OduZ7dnitjabp+xc0ir7WehWFwAQcSQ1UgRdt75+rbzc1uu0a4lAu+rLts5sgl2Kr6r7LYMzsa+XglVwf69aQl2xeBwpoqdiTXSaegik/xM82MEzc75tb30YnsPnSnQs9Nb+49NDTqA3p7QmVKexc3AZ+fU9uXf6+MagBrsbLD9HVcPWmQzlPbc4Jnq5RG+v/0+3cdxdhIUraQqFNeU6EKZ28C+rWvzucTLngCutWbH+nsbsOr3a0JVjUUQha6Mn0POMhELfm2/XHUP2PpQvje8b/rLbKiPKbp9Bri+Ayokc32XQTZzxzUazZ8tptjrjARoXyNX2drNs3v2r52rbaL657ZMhsbcavtIGnDQRUv7F9UIsx2ff7+8WFPtHre+k/msecebWo8Eg1vZTLPL9hzeU3gAwhKAObx4Jv6nDsy2AuhiVBvQBIBlyO39dl0xs1RGMvpYqra539I/rxEWXPL6mgmqtI4Soc9lp4vD2Go2P9mZQH2de49p3bY2AqiP4q2atn6m3Usdu//vVOo6dB/QE25dzKui7OPVNdlytGfPUSzxNdj1I8ASOc+ec+6qBZlsVaaNvXc1dwEWiJsdmOWq5KazdSwpVYHynNpa9yxvE9z06RTf17hyRduYb2qXERQSK8fLeiOTMaNNwA5A04v5Q15/dJC73I2oI1erGwe1elSIGHWyq3FKUcTTygysy7QXheTQDhaAhdFQop9lIgpbTHzAHzBeKMykiQrDNXET8mDiwHlGy+khGlj4L6NnFZQOkFE1nN7mB1uNHRH1SS5t0QlSsMPYMnwwIxdWDm77XiGqky4bVVVgcyjy+umsGB5zD1TQ3xeWTNQxhYbqh9PCusEh0egbqofMzJMMA1tMjKkfDLkiLCaokzgHish6DlWiVgDFxAZrWbSwtsmDWHkgyu/UTU2RwYAqayMrqeVed6a7ATpExKVeLfSyC1iPHPOwAliZEfQM5XIXEVbF9JHfXQeKPoTCDIqmQCGHYNl/o5S7cZesCFUwoG9kDaCi3cX6tg4b0GRh/TIuM1A2aZYgnS4eScfnvJkRtkO5Zwo3Tu3GyWmgilyvDRe4ae/Xfh1nEoQoJu5CQ6JR7Jm7ge8BMnpgoUKEGm5IDTRQlhMUa8M1PNsYjx3V9LUZcu2Hh2XWAK71OHfqlwowmup1O1iFiC3U+5z1rPDL4LI5YXHj9HsgUOVzeieAprJstYUtw+UgjWrPjG0DgZc15Ntn8/vYjf0zIvwOE7PSGAjiAD27nwuzvfGAkKz26FygKWBKnnGVzdhIBwqiZ4Ys87tUs3PFfhc2zq1abGJ26gJI0nZQlpGIfx0A9fr/oTtpaq3E6FzXq+eHBGitV4EyW7kINNEotnWmQDpvah1FIDM9EU2d1uX020ZhXGi7mQm251qA5A5boCNboxozgEExs2HYHLrCc8ACZhcPcvVVqWybVAfBMjgVdENvBtAyUdoZFv4sjqRT6Ku290NsLas/F21O3nM+SFOz2qcoiJ7Nqmx/pDEgXDIDhSGiHMlGiKeFGc3dABXLur5oBYREqqesGVgWMmumkQHBEK0+z8RzPACI0j6HXKjREAPrzwHqLlwW/i2WZfaygGXl2ja2jgifRQUsWQiCkK2FUVVI9Xo4zqU7I74GQgbSc2nq2gBQdhFlIrUunmtjkjjlHOCcxRWoketg63TK0J0lXWxfVo4VlhW6LNDahafiwwWyt7NvCCj72INkBRXSgyAfAtYDS6OmD/Rb1puImsg4GJ6MdbNSfHJ+nVBGZijG+5WClCN9m/HTAqmK5dWI+e3QznueXYBKoBDhBvBu5SOKtt/opIcGuKgAeQpX/UTHR2D/mwVQYH47IE+27g0kgNmhbPspOHW1sMWJJsH8KrCljoHP6dyzJ27ry6RWA94DJwewvCQmzgXh6QKdBuTbCRrtrF0zZKkUTQvSdC/KzlSYMUCH0PyxUBTxeYVURTkOKFNEWCvCTDZCdcaL9nPE16zuRl77OKCm0HxSjZa1DbTnNQYGL5HlUOF5hazAmE1cdBqxJqOYmxCp24F07vZ9OQriSrGpkJnJ81p57gVFmi3YsRp2rYLg547NYyv72NTLRhdyUoKAUpVtvoIFlBswZ70RSOgZYe+tqxbsRQCoDG6cZuoByv47QN9FnL9WXP7JGfWS8PwpIS6C/bfMOMZCZtF6FMxveeaUY4UGxfGvE25+U3H6UcDzz5U+iPnZyyueVekM7N5xbJc7PvfwBBNgCpiPE6QI5reKZRP0Xi7USCDLoCKsjDXGp4p8jMhHitHOb2ztPgfgifWqly/JGswfGFssd8yO5puKumObovGec5IeaavzTbF2YownXDyuDsyQlkkxvQ/YvedY79/VtifYjkuw3PJ36QQgAeurirJntjQsgnqsKMeK9BBx+JZU/MvryDNFufc0AnnkmpjeC6YPzIo+/qkfTGSQ3vymYv9uxac/G/H4p/RDbn4FY3GQuRgWNXExayWWgOVVhSbF7vuI8Z5lOWGh/7Ue+bzLG0W+KxjfRdz9RUId2d5IjUHmvYCzreu4AlpsjblYbADqJDh/af66qWenQ8bN8YLHpLgPFHUodwUItJuXR/oe44P28pf/xOuPz+SOYn1OYcYIZljQnDHJuqmV1dbPVRJD++BeItCyLGHh4aGJtMzm1Gh/q5hgjVh/SSmBBtJ8WBW0RsTevLshhcK6GlQqOjaQ2u9d0JEx8P8d6QMqaJBqpFGoybKEZtiloLVmaXSElrXSfq3NdQGOV1xfON+GsIvRaEUjugptgeTCXp+ePvHAwOtWrK6sO/hCB6ZWmJmz57Jrtr6gFhQX/qwhpiLAujDonUZgDFeGlQtjEyh4VkJcTKY2UE9TH4CrJtcmsJFNUIwX8vmzOUyhIUF+EHqA2yXYbU6ysJ9i2vy8cGLZYsqMe+W4UHV24/y35+D3uuMSVhozB1CATQDo970VkForKegtq2KH10vk+eX8+/6xKQ6ZgESNsJYKHVn+IZS219HYGNqY18TAh7RA/ry2Z9lcx4OCIFYfKWj5gapNbEPEnfu+l7YO2hWjw1kAm+fs68WCWp+D30M6+Cw7Y4GUWmbGB62BDwE9u/OHvBz9938DcB47a0v5/CK1Bw9q/SGjcH0EQLMiGKBRhwCn9Lptc3ptA0CsXEJd9Et87jbMCPfjqtV1exbWgjDuE3vmhrTYM5QCSOiBkw+nZW69JVyrgzUAsw5Az1BIY3O44yS2lhlgFkj5gbF2RoqtOdnQ9VqNs7IOPBRFxYaB4aDNdooscHWq6VXWy8bDbYQEK4vw7LCvW2dXbND3l4jKFTpt/28ti7JT9bnmw6qbLJ39sXYoMEq7bLKlvT7PNkzodEzJLvpltGURSAwU0MoW4dncvRznl3NLIRfLTohlywDIrCbSJtefdTtugKg4A6Buan+L2SCx+nDTSnBmzpb94HPodZrYnJF1EAQx56UqVILNF6DqmQfl976cn5ZyBB3p6mO/We9lU3/iNfeBgU2r37VbdrXQmljP2FretQywBRxLbT6NxgC8ilAJBk5lAvNTBErtisCvRl5TuXZUBTn1er34IivaAKLt3o64sok9KJKe9XIqsm7XuY2S7ekmWmRfFu2Zqm7o3dVciQUN6Glgsp8dm3Pi5dkDB/8cgJF+b2EtkEvm74Z49THe34YVGBQhMptQowXCVShU5nvPzp/r+mtQvCoFlCHQ/ioQrR69sST8fGzXkg44r+TidzZbBwacseGgTd5jo1RszJUXNgvwtSTNB9jOua+xDsxvzzn+csuEarZ683nOk5l8m8NG8XS/dDvWkz+X/e2aNwLsjwuWVLFWoF5IX25r02wms23gmQbSeKePBevBAmtFsy86KMqBZU1xBuoG3HS14LAAsjJxQ3EpO29F+1oftc1bu5+izFiOJi5ageE+IKxiatQM8uogXRB0ogCVTgV16fX8XkMqB4GGjS+iYL1yMqBnX1F2Yi2UvETyurWORhjDBg2sQurskJoA2RWUVVopZRkpFBZWaqCorxXpIEsZBeWgcMFDKJDmSvq/jCgHanYMz51ppoH+tvclJh2YpXuaSGsenvTqbJUdAM8+TwUhJ+w/VOSJAW1N6ECYL21be9xXbEvmZ6wGbSKVvr4lVAypYJxWnO9MDXokXZfaS7Zmlgr9z5XJjXMlPW57JWVmjDSHAOzM8V0U2EfkY2qOuxtfpyGVgQarHWhZkXJpxgfuHPt5NsVusAfWZHbRE6M1tbowfq4MdCY0Wl8vc8I1CNsZDb12ztu8cAJoCJth2xhSN6zVNs9WWMADqnXvzeCZreQv++f9fWUI7flh/i2b6hH9xJoRLwsdlWlE3TPbRJqgiV2l0OoLAVjblUqWjip0SpDS6+1araMHpEFYz7KwvrYFxaZkq6XSwbo5oN4dLMNlB+Cro80VembOM3VrRawbsYlVMX2qzQl1Z9drK+CZqsEkzp8KktU6bzO4bkS8RqSO0uqD1Jzzti6COSlV6HCaU1QjAGsVJMIaX7yz8TPqmg4McFlXB6j1pPQDJi4UhPI1xcPCFH7tMKYYR4FnxjTIBrix7KaI1SxJnyPYf6VTAhMAXbvhA9CQ9S0FyIEBb/vjY+EtJ7JwYFqWXfywu6Zt10inIiiDdY2COnmGm5/ryD6dgHZv6vXwG0p26bXHbZ00MbvaRXO29bZbZ96jflgQA2MTzMzaqAeoTlN+GQjYNdQyvk1l1j4jywosqwUd4QW7gvevABq900AgWSuB6yHQQfev3dDs47k0u9dqby7GOkkmzFQskLDJJX0ntHF2CnRN0tgLW0ELplvcsQyQRRCXAl0zaxUBbDO5Uiqq1cuRZWFBUAsWpa8xoAu8+LP7ddy53io3b+h0UipkLnROh9CFneyWyZpAo3SXyVk6aLRjZyq0teRfL0De81xwu1+CKz6bKnkV2uBGLbR1ZPXrhgS1+7lyIu07KOYixDxsihqV2WsSwfutJmgDUdSB9xZnhZxnG6+R14/d+2ylKP4qnAQxe6wxEGQUgcwLZNncYLKgoQJSCkEHX9spQo87tCyxZ9iddRODZXI3zAffR7V2cUg7c9p7QNBveDRWwmjZVhPcUjs/paB1X6hDMKCzz7WPA+l3Dlx6UBVaxtyFnzw4HB5oT/PNZsxEgJQoPLWJoS6/eIWwPwCBPopnS+IKQBXLTaTTNiumB9bZln0we24145FZ3bAoBjv7hudqgjpUAQ4OdCnYecJABe8UQeDesnoW1HgvZ1coZ0ArFDCbzak1auJ8Fxr1sZ2fyszM/d/fcYwbkOB9avuaFuW6IjsODbBXsTr2RZttidbv0uniAHUz2tzad69HZlvYHq+i7gaeb1EQrf612QHT6yATLiHMFfv3Z0gpqIeRNeIpAKZIrCP728dzRnraOmB2hgYwgK4v9k4l22N8n23/aNsXPEgj6sTUZnrOBC2GiPV2bL6nCltK3Zyc0WG22wJ+fy5nndCfDM0+M3Pf5740RXxqbLhfS90YOvTrHVA2NbhlVFRXzS9g4DaiaawQONmA8wmtfrElBGKnCrvafh25ZhrgGtibtU6KcBHk/+8dJFjZs+3RMgnGJ8Vwoi1Kz6Z0jAgEZlE//vlg9ZdKASPviydeNw4sr3zc7J4DUHZkYsRHq+XdVZaJRUaIw9OAw7eK5ZUwI7pTnL+KyIeIuCjrQXfA8sB9vN4qyp7Kx/HC+3z4e6yzXu8Y+O6+jUjPEesNs6zxJLj9Wz7vwz8IWBJVteOqKHvB+asKHZglHh6jBdE8u92/9HNzfFDsPnQQu6zA9CGg7AXxRKZIPAvKeWxtgorTlw1ArdZ6h8kYW2e5J4ecvo4AfPqzhPCLhHwEhgeuJ9/zAK8xPjAjWsYuYiUlog5UEQ+mFZLOFeshYH4jyAfzQ58ZgM53vN70UQ1g4rXTRZHOivUoePp5YBZ3YoCcnqlh4RlfTWbXV0E5H/Du+z10rIg3GTUL5MNIMbATjAFM378sf1iy4o8OcsOqkGmjLuovVQi4AWsiFVUNMXNqo/egC4s5s57hEGmZ0bhWyMpN5DLzYaFTVccIb67dDgijEXSHH60wfjhtjLgFVWHTt5RBuVEG7fNhYeH29uWKkvyPOUfVUJUYWp2AG7Bkjk8dKOE+qELOPoCww7VT5eoQOhqkPaBvdMhaoTlDUkK92aPshxYcMdDgaV53FqyeFsicmzfg7Sk0MvgVy17KvDLru5/4XN4L1+bzKtjIGSjMIJfDQDXS9QKIoBwG1ClSpGYp/fPogZ8YSs5edmqBbOgOvwDeY2ubfY/ninRSrMeEfJR+gEgPXtVEHcQDNdCYbltKbesILE3L70oMcKl+ugloCuAtkepgc7wR/rjq8ZkFrR6pWhC3VtRdIqUPnpnVzyhGXsNE587o/K7KGmxMqgMsglgouOIUfUfnARq/q2SOj5EDA7E7VRBFbtkSoLEwCq5ffruWaa2pK9jWdtj3oEgMQfZ7irMiPeeO6BdtgnWNVuk2AmjgilPg0frBbuyNOziOBOfKVkBb9sFLpoG+cIK279m+dzHhkpQgGj+/BtDoyx4IM4iz4EHALAWuMzEcC/ZHrUOEjkSsHTlfXw0oY0CUjoL7AckeeRs7JnZNZzG0ABcbNoEwwJ0pboZS+q1s0DoB92HZBzr/u2BOGC18o7H3WAytVGP7b9dAcEp4NIGvjWAMgTcBMHRQUDpA2LOrinoMWPd9zl0VtOsb2HsNbGn1Twb0eGsX+BQUQE29ttkYMbpgFUuKd1DFKVYcS7tOcxalAULX1Nz+PmeeeM1yy6CvmQGknZcaBLA93zK/jeJoX7wBfHRIfPbL0m10rdDjHhj3FnVoA2GkKuqQUCdTr3UFftsnjeq/YeK0ILaVUDDQbQq3m8wqy5KKgTns2RznLjZWRytP2tRFu3bHliruAfTWpvD8hAXQ5hwZsCmVyqma0HrItnsPAkkRUvv+vXw5IJp447a3rGfX1iOvEz4Auw+FNtMCreExI64V601C3gUkqcCJNoglVCCF1mpRHaDUSIedDCC1+zebmxmkFGNF1RYIttiNWfJzAcCMaE7sNe9ssgZQqoFCt/x3vKDZ8cbQ2WQk+z5SbIGseKnN3rgvE6z1iBux4UQRzzIGa00DU4wmC0cktKS5A1sCQCejh1dT+E7eerJAvvke+vSM+JMfA69voNb2BwAZUKKIz7OJr8UuQrVhhDiA2vZrBUQrwsOJZ4O/NiCO3O0gNSBeMsLzjHqzw/J6QOtuAGD8lJGels36DFhfDe08c2DO+52evmBf55Z9M6FR3fipzX5VD1Rct0Ywx64WLgr++27hvCwRZQmoKRorRKCo2LKjvBYzztrOB2YIsbF7sLZc2oJcTUD5esbuuCD/xS1u/5oihvPrzboceN/pVFFGUySu5hskwXqrWF6xzRfbz9jzVwOpzCZ7a5u4USi2/AvSWVB2inKrQKqQsZLdUQbsPhp7JzD4XV+x1Or4W+DwfUHZCdKZ5XDLW9Ko5T4iLmyDc/mRfZe1kpw+Aje/LXj4k4jLTyvCEnH4viCdK05fj1hfSVM6rlFQX2dIqggfJ4yfTL169DPYNQQ4ntNDxe7dijIFrLc8pIdHsB/2zHGJCajWW933oRjoURJraz1WQe1BqCu6u7+lATj/mOsmPQqGJ4pQtv1vez6dKOZbdgHLEs2mEkBjK1NtwnllFOSjIr8qCJdABWxlBjcsbBEoBc13n+4Lxo8L5EcTwbXRujwMCnkMVz3uawLSnmsnLHz++W3A+MUZqyTER/ZUdqG3OnD9lC2o+3e8/uggd+vg1wSTWsdVQXjLejqKsHHqGxW3KiXNZy64ONcWuElRMtsapUvaInC6VXNSjCLljiDQD4Bi1NdG24xACVy4fuCWsTd714jW7J3BJ7AVwGjtATaofVgUCaayZsX6jtb695ZRsNzwvrxhuwcnLVhS9CzoGEx9tiKYBrtk0qPUsyKW6d0KJBEtVzslLXBz5L393AYvBKrUbmnNibRolNLrwjxTNY2krQXLbm2zWLkiiI+1L0RzZK7qIEN3AiwTv32xPqn2cUjBxDEMPDB5f8/u+CZ1dF8DsLYMAFqmsWVdLxY0rLzXdDanT5VthOpGvs0M19Vrk2Fzmow9FkGfDS29PfvmEAZabNaGqGVz7P1qY+OBPg/GbtQ6jRUNTfdXdeGQFjhQEVQNueUhDavpFYTJjOi2Lqy6kMlVLIQ6BSpXD9IQad8fej3lDYDg4cZUIzMHBlYNjLzDYjWKIhALcugsBzJFrvhVGyd8W9crAjbi86jaMu0uKLNF+J2SG0MXWPP3OMofQn//y+9rE8v980MvZkoq59CGJJqN22ZAfC86Tc6RWhXWKzYwwQIrrwcqo2zmv69xBncci3A2cHAWiLX6gCnOvnyefBgQLBMfirasg2dutxlKsbpHdzzZ3knh4lIo2trQaEz92YwVAa8jM4CwAubNiwEp3rux23Jn2BTPCEauDzrY0kAcdyA9A0gkeSPWJZ4p63vmJSW1Bw1KgGvqc6yC1gfde6eSQkhHMa6w7ClaTeXVGiwWVB52gAjiw4zPqPQhQEWv2+r5nqib/wO99rztAVu3ZvthDAcVZoLDYkGYqYirtw5yQMmyW53uW/uesw0uIqRMS+3HRtFWY8m2VtLYGC3w2IxF63+sfT+UPcFOr2NswZef27YGmmaAB8ue1c2CoATI4ZTUGLFVEZeswHgNiHt2ypkUXTeDX3DVxm2lg+haIz6fzvCpa4SssfsnwWvqvYRDgSKcGrPNir5+t6wBjUANxlwyHYY8MUgoo9lWRfNRWkmO/UyGTiAJ27UE/h7wwEcaS02lZx/LJC1R4I5s2dmwrhshIh5vvWxmW6ZTerB/9d0i7DfuwIoI5PYGstuBdesLtCZEC2CbMBkXIJkgNsZhJTuq7BLqISCdVsS1NJ9IIag3O8huxFbzgvs7dFZRtkAxV/qjQZpgYlgr/ZAgjZklBQjuw3p214O0i3Y6uKK1HaK6ci9tkGpzF9nWZX7TdWVCdjYD91492QRXgaysDZe1kIGmcsVG0oSulG0BU/ODLMCsnsmbGDDFynkO70ZcPo0YV1PIbfvBx5/+xHIX2X/X1mJYBShgTX4UpDMDOtnsYe8qUgdTfK5bv95s+GCASgDCieBbnagVUUbF848Dyt7qZmHnWwWWO0EZE7poEX09WSPGB2YEy8Ssax0Uxc7J09eK5TZivev25vw2Ii6sd0fp8UfIQPiUSO0t3B/pDIR7Gxvbx3nPv4dnwTAF5GPA5TXXR2vJVLy0pZcsuM3LO+t5b/2vQza3MntAvUlqZAbqUoFlEdSJ5317mZ/gLffyIWC5DQ3kCkURz7SfEGOeJkEZBuS9UaHvI4PmGQ04KzvB0w0/423P1r1gvGE9sVTOTRiIaddRsd6ZOKk9c9kr8l4hO67xclsQAmFmdi+AgYAG8g+fu2G/7/XH1+QmwWiiOWWXkCU2I6zBKC820D3D052JTkuujXqGSqROcqXxC0ConZZMVT0GRboNPgQt6KwDUV0Gkr7gOBFigWTZ0aCEBY1WWfamRjZxQNtBXXG1mJKho8NT6QdwEMRLIWpym0xQCVBT4GxZtL0hICswfULnvAe/39rQbhX2bnTFwWiCE1cZEqcylwJFhE48MOJ5ZebXT7gore5FcmUwUJ1mmq7ozXx/BAZAzrXXMHkWLe0sMxNbtsGFr8JSoGttdTDtcKqKcGLmgBmT2GpydIjAPjbqGkA653ghpXE9JDN+1uZgVoz3mYIlYwQi2Jtt12+fMu3aDDwnD2Zg3PDa81dgvM+Q53PPbGyESrwX7pbuwWDClG432f0ysiarVmk/E6vridv+lgDiapn1wUVjugBbuNABLQfWPfsa4A0BAqsDdOf+RaLREfct/c17tVVHHD3IdYeoAOODWN9nDpyXHmxrgFzhutWCRQOH3OGCH+Ro4yUVWFeyCIaningmHbJOkQfwQoofKd3SnXYTzQHQafUAWlsUf1nWpkMPXJ9tzYqQpjtvAlhb5xopvEa1QqPQte+P/fuA/v0eYBhlVDfro72sZ7QEY6JURZr5+Sa20q5le90OIhTahfWW+9+Dqry3voc79Ab3LxwQb00kpQdEoViQWxQyjoCy7ED9eQAsdwkj7GBaFElrF/QLQDgZrVG5YKSA2bnKLJNUAy8sUyvnmXOyS80ZBbifXJWfoBLNUada81nXQ2jrl5+jU9bo/ZYVePnyzEk+dNCrRvTenoV2fIubsJ5J4Rl11M5PKjtmkrdME28JgcR/U1TJ703ZFm+TUdIhAFariWzO8qsDwmlBeP+JNvT2yJIJr1HcACwtSBDhfG+DBtdRmAau5VrJ3gncb4jomWBVyGlmMHsm+wbTDUtYzksTs9IhoQGiTuX3jK99rVgLogC0c4l9R82ptRIjv+/WC3ewEgenuRbW8uZdxHIkrdbB5rCI9R3l9bYCggSRzLbteO1oKqLxXKHLwvryyQyez/WiqEcHKPraWndbENB8ltJV/T14C0tBPK2kKafQWDplsrq8klrg64G5C1aluSLMBPej1e2VMXRasWdxbT+08ifhfia9z0CuHVp2BgCzLcfr7JkHFwM6cLZd9wCw3JCyzfZdHAMXmvH2My3IFTTfis5uaOdHY+YZkOHjR9ZG/z6vTdcUAG/1ZEFu/tEdQbr7EwUuh0ThyxgpsCQEk1xIsw7UQIjPC/2lNxOWW8518KyrB6b7oe0d1wUIRtlHrojeEtGA/XTmWZEeLkAuqHd7lEO6WrveGiydVshckF9NWF7zPd4ayvVafB1R9MvmxTpQ5B0z8+sROH/NTEd6DhTx2dMnlSKI9wl+yJEaWsnkiAEYEmRjz+uo9D8FLfunwepfI2m8HmTUY4EsAXGhENLue0G6KC5vBaevySwcHnvSB7AAzPzoahToYNnaYHt1eAAO37EkbX7NVmzM5CkuXwjWO2ah4wSrVeU9aWLmL1wCxo9s7Vb2YnsdePrTingRTO+k1bhqAM4/UpRbAnyyUqxz/EQbMt4rhmfFeiO4vBWI97segfL3zzjenDE/7YFPI+qgeP4Ze+iWnbYAUwP30eF3oZcLDRTQuvltRp0E811E3gPnrxjEp1PA+BhweRVw+pp+4c2vSQVuQrkVXdvHEl35SNGtMgL1UBEugrAGEgCtbMfHPV4EN78piIvi/Da22vA62VqIZCo5UH36UcDlrWB4Ag7fFY7Po9nBA5BvBQzduM6HR/7ZvaPA13oMmF8RIDn9yQqMFeF+sHsE4sw5CyuQSvdHy6TINxXxOZiQKqnxepMhQ0VIFVMqGGLBBQPSidRqZ9fU0UBr/GGvPzrIZc0HKZ6OTPnPW03TJkXeA1wzflmZcTSBFj8QXWSjU6G2/94EtkBDz5u6swWljoBvawLb5x3xjwBGqtABNCYsTkcras/muPQCe0G2In1mobSji5uaO/8+793q/aHamIgHGIKqNGAhWnanZRO6c/NZS5ttUtTHKHBsBIpGyXRY2IS6to54E5tyTmTtzpD3sezZAenO1JDoCKUXp2Wbf4VaHYwGYTEH7N78gPCgYLNmaEC1/b+1lahGid+g+dqCNzuMd5w7lzB3qrpnO7evmkzUzIyWyGbuXJm3Xm+jq/GXPqy/77XdA3x4/cF/C/g+1ev61za2hhq3rMfVl/hals8cF3cyeu1ad/izoZjb+k0B90yZOWAEnVgrpJVrMtheEzVHV9CCkC4A5vPTA2gx2o7Xd9Uk3dH19erruaLXz70MGl/+7GpO+r65ajFlVO+r9/seC2I2qWeqrupy/bq+Vku9yu6qI/gvAAam6LUxKdSy5T/0usramP1qtjN6cNuDXDrSZuh32u0b0GhtsPEG+vdSHMUCOLVsxd/VRkztwN0EFf4Hrka+qYlttZ0+njA7sQ3+1WyDoDNOFLyPELrAkFKQh3R3bXbiak+5s+6XtnV1lRXcMZBRa0MgWZjUM5aC9wz1DJUmzncFKEjYrr2hzppjk3fSHAx+pzQxEBcN67/Ta1uwGWcVgbjKcYr9bHtJsfePeD/yEIBcCABc9ZgGWuugCkY3xg5o9H/XWPCsr7/393wnx+BFtthfv6/WvVaebUPsNsz3paAFW16rW63Gf2vXmT3lPXWBFDQ7hk2mvK337b+99deagbpJY1qA4AA8FM15bllJO+/VgNq49Dlsgl2wc8jGwGvsO/3b2Auh64xs169Tga9KDFjc0DK6vr/rIJCo7bzb1lhWE7Ape4VO7MNa1JzMbKUCm/GuLQGg7dz1lkIOCNWpnx01KYELt03KNcZzd5MBVh9/bePDNRK6DQaaz9QA8hBarbqDKGFIBDddtFJNbyRYcIzQSz2yXPkinQJcux8Dswvui7Yfuh3asBX8NoNcH7mq9KMsq6/ogESd4qZ/L+9za5tQXezIAiuj2uYdz9n16Cq/Cj0YEHoOG4BZGtDQglzHW7c9s7ePttq91P7MGmgPy9jnXgVAqsASWo1o76VsIkdZWs2lX6et42T+cmXZQFjRQG9NwHroLCR1bZQkxtCSK7suRh37rDpoewaZQBKUga+LG5FKADJWgvB9G8Bly0jrZ5n5JkvEZRlQMzPijZIdfKzF6nt5rWBj5Bls74GsMXYW68LzBoGAbZmkZXm9fNMz7M5I6TXc2rKgGpTmulgP7U3jj3gBhoeA4ckAj6yQGiHq9eGsI3aW6LqX9r3DI3u5u1JxSIIqth+tnpsdYYB6tPjKgLcaN/sogIKRbt434+ysm7Aa02knKAMBjOW12TBTV+bECGoJmNeEunbNAbfZDlDXPzDK/ePpylWxvopdwMkWW1zcYApysppTaxhORcJe4B9OK8LpAm9poClgfbNHmQLSpSDMJjGfxKhr0p1TT98X0h4XayUUVtbS5h3reHzCHflwWmsdgZwU5x9x49RDAQaFxIqQFKUI8hcBWAOGDxHpzFqXshNEk4wPGRieCx2lzeEcF9Kml1d0SpfXRFk5kcwSh0VQZy5EUq2NlowAzMxuR6v5Y22nGb+XTkUAFGbogp2MZVPLWEnB1ToyG7pLdCqj2cti9UNae33XfiLYkCIl+P0lgnq3t7qu0oOCrZFVRXhaIMsK3Y2oNzu4cJMioE6p1eBGcJ0QIa/WTqegHAcsdwOpyc8Foor1xkRxJgqT5J1JwO+By1cV9aZALgHxTGGxulNoVMg+00F4TpBL7DRd0KhIpWDGPkU65uMALZvt4SJgVrPlDi+Aq8C0C+5oy8ZvW9K0zIg7wJ6ZzRXBnU5DnssubZxrcwQt0+0GpIyBTnykUuD2sPCWEmXH8WkGKgHz12sr7NdsD1KFmcwYmel+onENWZDAv8PJjWgARiAnQ3Fjr7FZ7iz4CgACAws/+OLsh1iAxqHZA7j/WWtX2iwKpml8XJVotTvbPq51I2yzBcVsHVIwDX0e/Hc+f8tKJ9i/w+nKAFusWIsspEgFZRML0lIBd4xevKQUQo0OVqXY+stuAZ7m9KurS3Kei8057Redgbzj37Q/ShGSXe2HuwLB0NN4pn1qB0M1R2Vh5kGbuvr1K84KSZv64cJg1w8aF3lLF22q+S2D6y1yrBZRh4h8d4SDD42xY1nMEhMzNjPHviIRAONAwUX/oligGmH3os3J4+Dyr/UoWO/sELT+jstrCo7osWC8WbCuEfPTAFkFw31AnAXjPTA80lavEuAZKT/LnMaaTVQk7zkW6yujWKmPvWD3gTbdWTiuNrwFAlToOFFYqgApoHz1uq9XoGXC/d/b3+kuoY403K66H55nshw8AFWl0rcLUIlAzgvXbs7QXKjQvDP9hVopXlVqYz409fBtOy7xoA1Xe60xTLbCWUYf1eOAvE+dcbBxrMtEFVHayWBiXuY0299sq0V7tt6aXzHw73SicItkYPTyE3O+NAr09gg5XVA/fEQtXVyjRsF4rpAncB2vFcurhPNXFKOZPqCpka5HtvbZfzsDVVF3EevNcB0o2b+Hp4yhwgDFgC3VP54rzb1P8RSwmLCbK/U22+2AjWzW4AEdaDHHuYys7c1vV8RDRgwVYySLqJSAfEmI84g4o9kQZ4GEFTh+UxEvBWUcWh27t5NZXvH6jRpuAXhYKPIVCrDcCpY70gmHZ7bTGR6tfZXb9ICe/bRzPn2a2cbQfBO9iVjvWP/awIC6Q3wBonvtaX41ck2ZjylFMYTuQ4xZkZ4W+jJDgoy0LS7A6awp0KSghbJm/10dPx/IVAuXBJkFKGRitO4OQVhOMgZcbgfknWB4rpg+ZtqT29hKJpz6nXcOVnJs8lvWiOabinqbEXYFb189I5eIh/UW6THSfrtYj5VXeXZWBRSSq59TwncfgVR0Q5O2uX1dUceK8UNEeqagUNpl5KeE219xHi+vqU8zPij234OBVuJ1PMvva7bsgeVNQZgDjr+lINnlbcAaeV6dv0Ib37YF3GRcrPbU6Ku0p1RCzmBGtuz4XPlYoaOhFAEoB2X7miqQp4hgdZrxOdKfnyrdmh3PfU961GSAUIC1rhTEy4gsI6IpJgP8XGO5ZWB5XXH5WpEeAu7+koGt26vh2fbSRKGlGgX77+y+D8DTz52FohCx80SEQeasrQQBSrq6FMHwpBjvWQt9QUB6Ehx/V5EuvSQzfqutDnz8NHNd/3hAGQX7dxWH75bmR+Z9wKd/ELHeKN7+O8WP/rt7trCbIupo6uegn1H2zKC+/fcXrIeED/9kQN6Tur7eSkv80U8QaAmmfMx+2sMj46vlNed5/EgG7OWtYJaAcpfx9s8/IYji/acb5DlCl4BSBAXAqqTj5yPP3XRiy7W6ApIFsgn0/67X/0yZXGnqt00R2Bb/FmnfCoS0DIChbahsK6NmxKr3vl0V4uo1P/DdAJoDRQeW39cMJaRlRsOGZtGRFBDVuilAVIR9RkwVIVbEWFFrQJ0EeY3QB4o1uW8o2TMHPfvKALdTWVg/4DVhQJ02Rkhd8IIIRwU6FWv7uFW7k7910ttASHeAGvL74j3+2cLWD7q5TlONbe8pn19/ez3L4LJnpilx1s33tPuuV8IqXZzGnST0AxRoh+hWCbQm6fTIik7NFQASWg11HYE6VYR9RtWEUgWIyh6hUZGmjJQqzisBCzU6pAKGIEl36Kx1km5ruOD3sJ0LacFmW4sO9Hig+zIA8myhz5dtDtZomfMi0gKebYC7BTa29WldndeWxxapjB3M4fsp4y77gv1hxrpGlByhyuCiZhOHqZZlSFwrLvzVGRn9mbd0aI1c42Vf2/zKClSn7CdhVsBKCoKQTnW1WrdBaBUi9z/UI9czVi/Hd7tebbP+INDwYk74fsUPBa0t4yUvv/AHXtu13tYKa76ITn9uy/r3oM29I7rMpkhz+vOO4E2d/v+8/VmzLUuSJgh9qmbm7mvYwxnulBEZEVmVlXRBVxcgBTy0gMADj/wXfhZ/AHhBBOEBhBZEqqmmuoWqnDOmO5xp770GH8xMeVBVc1/n3gxSJEp6iRw55+y9li93G9RUP/300wr0W4jeMpBZKVpb59TXJXvgvQ1wt5mOUjVzavdCoB+vYX+vwOi4dR3fTTaw0fBJFWbFwQqz8eue2YzXZ7aglQVUaOAln02B+6YG4JTOPmP7uQwCGSrSYcaruwsuc8Kpkh6mkwVFZ2p7qVotuMj6MwDNrtewZrdKL5BBBbw0+Pa2JhZoGf20Zb6wsRNkv/CAqDOaehMqug1s1+d1Vgc3G+S1jFtq8T8uHFX1jK0KHBOvqtZ/KIvrr58McD87a1qbq6oT6dTILQ3XJnhDPVbH3WtKlcKLVSyQNFNUBttD0dbYRM0OeFaLgXU9eSCzZMgW+icYpV9BCJ4KwhDa77wtVKNcw0Ac0SDXM7RC7tMYQ21REKf2XoO++coNbdvP6W02rAUu/rf/sd+3sbI2HitbRhB2Bfv9pCaXBFUIpTImADUleBueGv3ztPpLNh3+vc2eJ9mIJtl4C4E8gyNo5S6cgTphywjfnPe4Oc9cvffmZS2z3I8Spxh3cbOm0ai4Xvfa6l/tbHFAlBYBjGZ+82ptvPzgph+/x35+8ztmbHs7tZKxaEkFUiCu9EAcqfm5W60Ez6A3KrwxQspe1X3rsSAdZ/R9xl0/Y8wRz1F/F2bP4tKNb93O+qBiX81u+LDOYqUE0lgymkUVIBh70OooRQioRlmfK1TgTH8XR7G5pZsj1+e72vX8npwdowwJQTlWOBAofqazZfeyxwZqAzxxVZOeZdtaXr9vD3IpVnTDgloYy6TK25TXNUai19wyzVyoU6xnq/trPOt7i6tX+/4UtDEqAyBDQR11feg8W7mGn32ExmqNo2V7dwra6RTZPRG1fbVtTeZ7HbBM6lVUoXrS3sucXb0bYBDitSKdcgNDt2uOCxCu1hN9p2BJ7ZzxCPDTGTJ0kLBrCZdtxpwKEM6L7YOExn6FzhOXdfxgDEpfo5wtEI9iZ7itNV+iXcUv7j+CSfBy7VELoRajFvp1stUcV7s9W1uAqKDiP+H1x6sr5wq6Wq/ajFW0wAVRJmo1ZmyZVK93ksSoZsxop3UZGlxoW4qw1NYsHESoldX2yFr47/0wfeN1L1WzpwfGfKSGeG73fk1r/aAjYXy3IHUZKRVErnjcX/HF7oRcGXONeJ4G/Pr6FjUG9O+NGnAWDB/U6JaeIMPqnOYdYb4zGu1Rna98V0AHzSiGWJDHhGnprDDf2odslBC91o1ndRClC0AfNdM7Wu9EMjoL68NoBlAXM98NoCUpRTmXlV5cAX666Hfc7fVnYpmDJet7AaW2ec2gUa4kBAtcCoIrf9rhQ1erYe1MbTAGVWpOm5ZRW+GpCvBSwFOGMIM3c1qHBAgQL3ov2RyL6VFrh/KgwgGls8binQCDCqDE4wJ+mMAsiLGASBCtx9ncR5TM4LOKEPjB4UpvsusVCLhMoLKBirKA5org7RYmG2tXV57t+QRw9WOeFaUGAGEGbdos3bycAmVZzLrTMQ9j1j5tideMbtXxmY8mcLJBiZuGjvvHvAafpdcxKncF6Cru76+4Gybs7hfs4oKXucf78x7TlLBcIuBCVAUITNaKiTDfaXsId/g9u1g6RWxrEkVbB6WfUBDUhTWQDloWUAMhEayXLqynqDoM0qd1LfrYEEGsTdHWcZdoSq2z1ji2VlfboNWdlUDq8Fov2x/V8jrgk0y4Y/tdlhVzZfNGp++9GIbh1My1VZYJ+iRlTLRnqhosC3ydCLZUzrXdjM5f6bUup/TrOq+PC9KQcdjNOPQzRAhVCLkwLmOHnAOW2EE4tJoYZANkKgAm0NDDM9Ykq/PffZrAu9hYFzVpTVg6W+ZscrE9aXuar9qWQyLrHEbtVQ4m0Kx7snZaV9xaB8EPdNvrgKLJ3jbBKb8tsKS1f3OFsRrWoMuDXFfnnB8qagK6b854PF7xOFzxdjjj3XjAP+SAOSTIKWr7rbAGG1ShAJg5UX6fXqfpJRAaAAgQdY1zqihdwDQnVb8kglyBMBNSpwJ7DDTQ56ZcwcGzTcCOPqBS1PN1WmycumaHqahiMc0bBgIRaJw1EGCGdEnXpgfN/p7doL9nDcxvQFKnLvue2JTOIBeQ6Pc1pyxFpQWGAASrM7bac2UGaZaUjXbW2F37VUnfqd95UCDHM4jLY1GbHrVOK6WCN/sRIoSnlx3yErBQhHDQOkBRHyS9aLaxe1lAlxEoBXw8gCUBH/VR4rWi3BPqgdG9AOGSkc4Zd79W4NTbFKWLtN6w0+t+rePMPqa+bhz8tP+Xdb6lqF0oPd8Ed5wF/UvV7Fq/0li3dr0Ft2QsDCg7YXll50hVx/+wm3E/TFsmNJgE8xDw3Z8ELI8R3buA+tECCQveL28DuISWvXUqeDFRq9pXXecMBYODoCwMCQG0AFwMnPB9kQllYMiyrpswFsRxURsQVQWrHLu27wFAO0qg+Tt+xuRDallxXiq691etlT0t7Xx1QFysLaELQpVDQh3um30FAA7UmA/8aYT0HerD3kCLABLTZyiqIZBedO+VIQL72PrspktG/HiFpID60KEmrb/tnxU48Uyv23J/NgnOCNH66RqA8moBDwV3xxFvDheIELK12hlejViOAfljj/ikwpti9HP3azkL+DKv4OW2HzTQ1H414FGQKJwYkgi7H4DhQ0WYGONlh1gIL7+AJi9sMc33mrnjRT/fwFIG5ruVncgXzaTO99QE3OIVqL0GlLQQ+vesrAJf31v7agmgeCbTvLGys+RZVwNlCinbMiogm3NAnQP67yPSeb0nngn9k36JCxvlI2EuSgt3O153mghpQE8ScFdQ54DwPmmgaWJL8Uyo7ztIBJ7+XEAg9B80yzgfGVR7XN4GnH6p17v7O6MMT6oO3ACArNnuMEsrb1GboO9Jz5p9Hz4WpHNGWBI4a93++RsHRG1NcUAYK5bHgNM3QRmOO7Ub19cEYAfO0rrZdJ8AXhilF1z+4osG0JWBcf6Kkfc67t2T3sv45c5E7/T/8QrEy5rhroEQzirOxbM+m/t6eQ/Mr4ue10ntdD5W1GPG4WHEL/cf0HNG/LrieRnwu+d7PL/stT2QCaxtS0dIdA3Gq6DM/4SEA/5T0JVNMIKE4X1t4YHoBgHcqlZ6ewkVXiEgMajf1GyKBhSqyKfImxA1IWCLdDXo85fRXLRdAWG618larf6Kcrnj7xlfYaAfFuz6GSlURK74av+CPz/8gEUCriXhQ3fA7w8PWp8LRhgF6SpIZ6Wu5H1Sbr6h1XkgLEczZjtziIaK2Gd0XcG+n3GKFeNBhRDCZNkXWh2IGskObj1AJalYC0/Q2kh7SeC11paoZeLKEMGRjVK8Gd9qlMtSQPsewtbHzlsGfZ7J9ReRIpeABWv6narwLEr7BJTaSVZLk8yRagirouFkrXpoMQo2CyiZkxzYkGadTx1fdYCXPSEfVJxhuTOn/y5rFj7qoh92M+53IwIJUiioQlhKQBFCjAUlBgBB6ZsLTC7dAJougqYFNGZQXqXpqBRVDRWGmMS/ZlOUCugHM2BOq2e4XHwk6F7ZKvu2oI1IA9wlrz8HrL+iwpBiCsSa7SdrZr6dm5+arw2CGfUQSfczuj7jYTdin2Z8uXvBN8Mzvp/uMNsamWO/0vkjtcBBaG0P0RDHuF6/DN5QvYK6omBOqMisdC4ATeE8TNvAwlD3QABCWxPbrJG23+AWEEhk7TsponR3rkp/8wB1Q/3WdRvgbWng07phMtwEuj4fn2djgVbTCGCtF9sEvi0A2CrUejagVhA2CuHunLWin3W+qtVfVwMQyqAgGbqKw8OI4zDhoR/xarigCmEsCbkyPsQ9piXiaWGUxaizhZr58xZFiFH3uRjKZy8+TWDqtW0HAGL9bJyqgo+jBlf+TCTSaIcStderxLWnMM9Ff7az8oQt/dDm1wWonDmgGTadvxrQslBNCMimYyt85qwZRciBstcs95cPJ/z8+AmP3RWP8QKmiu+7I2olzKFr9toRe78+NkcHgIZga5bRMlxBANYAtx9mLBxVoCuyUvAqmpMLsGVQf2Kf2ji2L7RMrUQFb8Psdt2BAgsgl6Jq8PYZMAHzAplmBTGGDq2N1va8iAEy9Lb3fO1aUNJqZtf9AG9L4srL3iPdri2BLQGpAKh0ikS0VVU10K0GnAAr7b1Rdw0kUzCnovYV3ZsRx/2IQ7dgn2bs44yvdy+4loT/Rr7B+dpjWpTeBqgDGIrVqF0F4ZJbuxjquxsGABVBCYRlp61PqFTwBOzeKc308kXEslfhHdeVyAel/sRLsTaGDlD4wOo57euz1X8W0XPTAzCgBSc0abYj79hqgjWD7Y7dNtvLywri4JA1IzYzEAR9WnBIMyo0QIpcsYsL5hJweZUw7hKWeY8wcauxVDEsn2+0vVQ6yzY6kNNVLWGIFSEWlByQC2lLMgNyGmsoSgOqPGMVLxl8daObDLwLQDKAjzbjZy3lqEoDvWpyUSxC+kSgWUDTAs5m8+dF+9zuO9035hfWTj+/BZ4hShXlUiHPJ9DxADzs1Q5E0mR2IO1mIUCYSgu2tXe4ghFhZhV2a2NHSOeCcC0NnFszYtQCCTHKbO016JKuorubsR9mvD2e8dXuBaelx3eXI6oQ7gzUeXex8rLt0OqyV3s5LesYfl6saPcBazlTjFJaKyG9WKJGACqMvAemt6pqqwKUmoGsHXSuR6AxNYMBf3cqWBVfuGU7VdHYakcrNIhcqCWHVlbCmt0ug45lmDWIWmv4BflurcFtQJLVcEpRZk56AfpPou2z7pX+3z3Zmt5DQf7OEiRWZy6dINzPSGkdM2ZlcV4vPQTJMtl6T/7d02vC9Gez2v9pAC+qc8KFsdwT8tsZKIT6WwXtOaugm5ZnaZllHGvrO918Ias3TVelH6dTRnyy8ihKmI+M0xeatNBes6RAQiQse8b55/qcbJTe5UgWmOrZDVHAmqqOwfWLaN9TtZXQA2E5CPqPpO8TYL4La7cc0WRQ8vkhtUtaogOt/686t6U35exDBqeKnCKwMGgoSH3Gw/6KL7sXHMOIfZgx1oRcf4E5R4zoUK66VwHclOGFGeg/ZpRlKx39j7/+6CBXEitSd142DoPReLYoMNBQYZeY9/dyMeEpQB9qc1g4teeG3mKqlzwXoBBKYpRd2FA41bjyLDc00rUuQjeUHyQgdcZTqOhCQbCs31SjBbkd5hrAoQKpWusULeAe31gWovsMfW20IKWbSBLt70VAzoyXMmCeYqNB1Ki8fc6EMGsdiLZyEWVcFaAGRuksc1s6pTi70jTB1KjpBlBQUR+0YMqbfzeKolMAHckPDNwdWmDgtYJNedkykVpzWFdHXwRimS1F9Wml4uYKOlmTK2tLoZkNPSTqzuoekzpxWquLNcMVVO68WNAlbOjeoAFVOiwIseK4m9DHjMfhisfOGxEDY4n4h+dXuEwdlimqY1CxqmXP5qJNBXS6qiPnf/xl9+z1hE3R0SiPN3vC5yBvgh/yLPia1SOnG0IL/bHrFEXe0gYb7RZA9EPBGsfTispXjdvXfUUeLNllshq9KgQRIIWCY5pwjDP2POMujnizuyCQ4CUdlMoT17qbliW2a1cLxrTGyJyiqPXPSBUhGe2VdN3XpJRjzia1vzg6p8aSaB1ED3Z9/d6ImTEpI4FWMGH7OYLR28pnk2KZVgCaXfXsrNgqdWqaAw8haObiJli9zXrpxWSdo9aSiNCa3vvPmOE9gAF1fD1oaRlL0xNQ5U09/PPBapN2AHYFoS94fbjg9XDBfXfFY7oiS8Apd41xMpONdbFD0FVWHQ2tYv1/TV1ZNt5/DMbKqEAfoertZHZYWvsBGPDmdtvp3MoKUYbG1vZTEbBs+j0XUQZH4KYcHuYKGMrvyvnt8yKAU9bFwACjvFXQ+l7WdYi+IuwydnFBHzJ2PGMfZl3v3aJUzr6iFgOMOrIaY7RrYrPey+Dov2YJJCloGfoCJkEpjCq0OpS+PFhtFkMUfMwVsapyeh0i6r6/XaeOlfjyZVLtA5s3r/VV0KdqXe2Gniz7ATjs9PeupO/qscyqrZBim4O2vts+8QEnYygYeFk38wzA++M2wZvmjFhGk0l7oUJBD9fR0MDP9uEmk+ttaspOmQqxL3j7cMKr4YrX/Rlf9S82HAKGoIsFY1C2SAM4HHjzORCB5AyEoEynjY2h4n0gdcxrHxtdVkFbtLpsFz5Mp9qyuPSZDfDWeE4ldzDemRkwn8TVpXWOCWKZ2zCZOj/bme2ZP6LGSm9shUzA2SXx9TNDynjor7jkDrl2WErQP5Uxz1GZNMZGgAAxb+wprettzbYLaleBriLuM7p+0ZIWIUgV5KSgF08rxfumxMoAamVkMPLjDrXjVmfcRL2qND+Rva2eAaJeqkOi88SLaOa0TSJBUlCAxTpHKBCn1M0QTdF+u26dop0i6P6obIdaVXWYYCyJW1Boe8DzJPonV8iug0TtpABSFfp6F5sP2kTFWLOhqpRvego7Ab2ekLqCV3cXHLoZb4Yz3vYnJC74NO2wkKBUxrIRLKRKTSytWNDhIJakCBkS6oYzvhxt32XYGOv9pJMzLKsxG9W+gYDuk/nPTmMOUMYAr0r2ea8+QDoR4jlpkmC2OXWXpTOBy05AV0YYuc17POt6Xw46NgrAKpV4Oa46IvlgvkNnez1bwiQIUpeRc0A5J6AQpjeaqc079Tu0JtrGbQGiU71JQYZ6r8kRqYRlCWA2JmAUPSMK49r3KJUb4F8GFTiVBITvO5sT/RmspV4eAE7a0qkMOmbLnSa9eAbkagBoZ/oZk4EPvY6Xi/l6V5iuZ8wPEeMrnbv+va5nT9Qte8LLzxNqt85rsIzq/vuKw7cz8hAwPSrok63dU+0ICwjRgtkaCfGs9iVMeh9aaqkgM1UDIK4aKE/3hOmVzlPZq+8XL0FLFwy4qJ2g3y/oUobsJ4hQs0fP1wH/1cdfAQB+/fwKlynh8rQDveh5F7KuidoZ+8DGTZnCjLIpJ/xDrz86yC0dI7yfldvdJchg7Q+itZwoVbM0iVGC9q9zyfXaWTAzW70LcHMQtVfYbHJBo3w6y67GTtPphrZ7hjYa6gRgQzfzzaMBShj12pE1g9vHjGCQ77n0WKpmcucSkVJBHoq1FzIndKdBiSvROUJVbIJrBKQXiFGuACAvEWUKwMxIpn5XBkWgINSEUzqY8R1NHTEaFcjFhzYGhTNpb1q2oNJtNK1jKo2Cxuq0u/FsiqgCiQH1fqfgw5RbUNeoodOidN5pNjqzKSDGANlZK5UWTCvNNrxMwMcngBh4vAO61ALGOkSUfbfW45BnP9zxV+R0OdzWs9ROILsC3mU83ush8au7D3idzniVLngVz1gk4FQGvFuO+Mv3X+B67lAvETSpLLzXqXoQFa4ZeP9J74PDbQ0XYK0F1Pkny5yEMa/1Q3FDV4VRs2u14NYy8SmsAmKblhzYdSi71DKVOl9YMyuiGbjS6zqnAoSGTgNkdVYN+Wes6tKiTAGJit6KEHZxwSvLbt2FEYEqqjD2ccbv+keUibV2toP2ETYH0kVdvEeuq0FWn5MoCH3BsJvV8beDq6aqiaLMiCZQwlnaoSORjIYl5qBTY3xsX8r+4OYwKsLnzh4359ZBnJap8gxsCJAuKUgz61p2u6OKitQcVQBrz1AipVLnoj/DZ9/r2WAHfCyQXlturUGHBwwqoOZBMJpD7Ou9DJrdWo5KqeoPM3b9gl/cfcTPdp9wF0bsWRHQp7jDOfd4nw6akRdlhoRRDy6txbXbXSrkuoJA2mPC/mnMDywZXHp4f21aanPaAbRaXN4EudUyuDxlFZOyfaFMh9KAIgAqtGY1bTn2AAM8FvCYUQ7J1vnWuQNgNbpUzfaLBbckqC0rr+sw7RcMuxmHNGEXFuzC0sCcx+EKJsFpN6hAz46QR+3rWr1veViDCmGs67xT54hTQeoKUioohVEya2YN0L1uDqheg7QfexUwc2utJHc95sdOg62rMVya3TZbEgGJsQneoAjQh8ZscLuMrC2v6uNB7YjROGkpVnpRtfYqps0Za0DPlvWwBeVEgTxcR0jOoJRMiM2MAZEGuy5UJdJo+B6cw2i6zi6irFlBt1Mu0KLtsFR85+0XL7gfRvzq+AGvuzN+NbzDv+i+xae6x9/PbxFQMcSMS6igYEGLKXCvdar2jNmybTHipk9u1cDS/533BqoZSK09olcWCy+C9MnGMYVmIyQQuFbNVBIh3/WtzAjmOJadZoDV3q0ZEERnxgDpYjYhBGgvY1vnLJCyAgF6L0B8ZgMZBcIVxzTj6+EZv7s+4DT3mErAZeo0SJpVpZRYa5ppoRbAa23vxudycDRCaZtDwf3dBa/3V7xMPU5jr5jKjlAzQ87hNrgl8zMgCGMBzwXLXYflPrQkCFUt92mlGtDxdoHRfJ80A1sc3LIe9kVUwTgFXUdWTqUla2tLMv40Kaieoio0BwfQWYEXJtRdAgUF87W/d1E/c2Mn9WK6nh1kSJes90mEcuiMRl5BmTA/RuTBz2usazGo2E7eS8vi1ruMP/3yE47dhMfuij5kfNm/4JvuE37Pj/h9vAeViKuDpeIgiWXhafV14WdgisgPO+RNUDw/6PiFCTe+df9R4DoNLqqXD/q+3femmeFtBsMmoDrattpr4LH/PWH/fW0gh7CLUhHGL1SoiTIQT2yZTP3e/qmie1pw+brDfG9gXNEFND9ajfJQgaHosRqqAiyZtTQyVhx2E17OA+qVASEsXy0oqaBeI2hWOq68ElBWEU0tp9TnKD2wf6Vn4PXcq4pvIgRjcj70KlJ32e1RoKU0lIHpUTC/KYingMOv1T5Mr/RscBua94LYFdSi4DQfCPODYH5VVRDVWKda6ibo3xP6Jw2G88Gy3I/mZ6WAfq8Z1uk1EM/Aq7/M4Elw/SI2kOD8cxXw2n0vTRGZM3D/H1+A/+6v0P35r/D0z94oOGFzmXeC2puIXNaAu3sR4GUFu8qOMN/pvTjzsTtVdE8Z42OH8Qu1KfXe7Oz7AF7QNCvqTvD67oyHfmzr/L99/zXevb/D5dTj/3P9GcrCSL/ukU6Eu1kD6Wy+j0RpIqbpWfeAzh+h/qiw/6df/wlqcl0kwGh5n1GjXLr8xle1+hXKXrDtkehas9nELCI3Z78FEDcoG9bPVnINIaUibFLdgk1AuKjTT3nd9EUIRQhTjghcUYUQqWBBwFgixhJRijoyKmhiBmcGUAnV6nM8UGt1YoaKImpGi1m0v5NgdYLY0vwFrZBb6x689gdrdtyCUc+Gi6PE5IcntQxZG5q4biwfW0mxOTfkTrwryG6HlQjeg5e85tHafei1gwa6tM69ZuMJUqvVAWpwQfYdfih5RuIn16odEk73qxbEuchU6QU0FMSuoAsFHRfswoJjnMAQXGqHKowimmFhMmfInH+lWDhaacFiFai0a1gduXWBrP/1TLkJvhBUNExRTw12b4SOgHbAeK9JYW6sBQAteLh5bda8r2MytVs2p645xmRrgGy87H4cVRMf00It61SFMNWIlzLgUjucS4dLtjpTX7v+x9b0SqGj9vNtFuVHWW1D/5EZtDCa1L/dD4AmRsLu/Pk6ZqxiCt6n2MGQbSKFDQRyJ7ZWlcfYUgn/sdeW0uw/qi6gIWhK5cAtKPFT19EH/tHPbgTDCOqYbTK6q2rwCkzUzlFUqxnqK2KsiCZ+UoWwSGh/cmUswrguCdc5rTW4ArggGRdp9f6t96/XYLrw7AZkae3LSDRAILTn36qGO6i1CrPZpUxQaWsbGhBAm/1hdFmtxVdbwlkMFNHMkdbMoYEajvpXuNiF7w80xkIpjLEkXEvCM2kD7U/LrpUuUBAgWssHp/Qn3FxPgLZe/efIhEoMiVXxk0IomVGXoKInPvb/yKv2EZT7RmP8Q13tm003+046+QDZODNDttTgIj+2PT72uTRbf0Ppd5AGZp9crG273kMAYtQa3Cq3+8BtmANLAogHMDZnTZTFnqc6TdHYIlp7riJhgSsiVc3akqAK4yI9LrXHVBOmGjGXgFwYsmivRc7mxC5o615b13XGIFufy9c2j0Wp4A4WAhArmwiT2hhtwWEUZBMZ8lrj2kc7z7gpWDvl1r8DW957GycPHFZggawdV1h4DdCBtl+9JV4DOCftNympAr3qTlRhsJXoeE1nrYQ6B2MvUWPgtKy3BZ5tqWyAHQRj4VS1K4uBlrXoWsfiar/mUxkN84aWXWvzRah68G7rQDaANnHLXLf9ZvZb9VzqSg33bCyT9mXO6mQ2z6VUvX4MkGEL6ujeIdtXMP2HdsYYeNF6ZHvwaMwszzS7SrSL6unNovl069npa1z9RReYkk7AvfYBdb/lECcEVJzKgKlGRK5YqmVyS2i+4udMkWbjRTQjPWXwBpzvngi4U5BO/UwbhgZWognHbpmO3u7PfTNXUfbe4ly01UyYBeli2eDO6N5FGRfxQu1MdtusiQtVLAeS9kE3lyOddOzyrGWMU1TFZ11GyiqRoEBajAVDyhhTwZLM74wGenntrmWBSND8Pd9/VDS4JRfTJECqtt26jB1+oAOmxcKjoACc0iWBcNGSQWfXhNkjfB07EDBfEpAZvWVpyT4rQazntNKMyRhn3kGBF1JQy2qEa1LQQMFAzU6PDwFhEdMVsgzrtBF1orUModx3SPs9ahfbGvX2Q7UjlKAOmcYeom0KGdYSTOMozmscBds73v6p2RP7XekE2XoZ65cAp7EHAejYtDg2qJj/u+x0zngilAXGhF3FyVpwO0D9j0IoP1mj9+PXHx3khksGYod6v1vpnGEdCCyAt19xg85zXkWImpGww+M86oINGmjU44C62zTfxhrA+cEAAGFRC8OmuDUfw+p8+8v+3T0D8kLNkaRKyDlg4oiLHQ533YRjmDDViKd5h9PcYZ4iZAooQ8X0hrU+4dkcmnbgw1L/dlgkAe0zYioIUbn+i3tPpFkHkGZbvKA7TGo8orVrAaDZK6dRLYL4rCs13/co3q4gWEuPaUNBI0LeR9SkdMBwzSAw6t0AF3DROSOVoQcsqLXPM0CXCXg5K+UrGjLaJc3edtrOgpYKvkw3zk8LtGvVGrEQIH3SWhlrIeRBe3tZIEcCFOZWP+G1StMrU+q7X/D4eEYXC47dhH2c8Tqd8Tae8N1yjx/G1wgkOIQJWQJi0HoiyZ0KG1wIwzu5dY63Wb0YQRsaJy1Zg3mvC51vxR3iWR3COnSou9j2AgBIb7XUXkNHRuXbHr4ONgBr3SJt6pWg4xKvtQWZ2PzNixqJGpR6RIGAi6CYBHu1vs4yBWQWTCViEcYP8xEflgNelh7vrkdclrT2Ikzam60utpeLtANWPneWHMwJYlNu1DYB6sKIT6E1iXck0QGcMrDVc1gfXt/rpTYbUfuw1jqRByAWJDhF2QJgnvWwb32hN2N8sy492DIRHnLhDhFV5wQ0S2WUNrL6vgYEOeizpUJ+DsARrUyUWoHAyPtkB4kgLKrgrqrXAcueUKyevwwqvjO8vSLGgkM/owsFcw34MB+wpIASGFON+LTs8bQMeP9ywHjqwOdgLRmMPrVYjdSs90gpKvCUErhG4MVud8oNwEKtrQ3MVhn25jlFIKancLPmk+7x+UHLOdKz1tDpHEbLPlalQwuAKshHzeCEqSI9z5ot2UU9UDd1S2tJCoGD/1trnmrU9bFcIyYhvLscsNSAQIrQX3PCy9RjyQEhVGBXUPqo7VMsA8gmXkQZ2iMY0GzE2YSBWGvkHSNdxgi6xNYqaxtsuWOggIHe+/yqBz324KUinm/tCLA6s76fa28UPVvPvBTwvDQQgQqBrrAa6Gx1sgYg+vKvFXS+asYqJSCZ+q/3MXYtgGkGXXM7q0GkzBsiyH5A7RPI14UzJIrc7oms9seZQ64YXaPqRdTOMrf9KgAzvS3ovr404cdN2I53+YhL7XCpHd7PR3xadni67NRJPUXEF0K8aisoVR7VvVX7iPB4p23sTmfIRkiQqqD/9gw+XSC7HvVgtPEiAAPx0ilt1hxZYcJy34GqYPjtC+h0Ad7eIx8TEAS16y1DqS0RHVhmFtQGGuk6rx0jD9zmOhRtPeTnMBXNEBcXYZul2VhA1yfO2lak/mLB/jAicsVz7hGp4sFKdZ7HHjkz6CUiXJX2V4eKOil9nEgzi02YUzzIUW0F7orWJk5J+4daW6I6B/CnCJ4J6Vmpjd2LoH/SYKMGAJ0H7+rDuDBjmFYWX+kYZcfIvfbxdKC3+XmufO323H9nQIn42jK/gzcCVNIl1Ic95ofO2pzlxj5BAeqQsOyCCvKcF7UZ9x1Kp/RjyrUF12pbipZSMEE6Rh7CWqN91ay00991nZvo6F7X+vy2gF9NyhiMFX3K6ENGFzK+GZ7wNr3g9/Mj/vbyFlON6DgjM+MyJUxjpwBFJ7rdegu6FwtGvNTvMiKerkBd1/kX/+8RP/wvB1x/sSB9iE11fzFqcjbV5jxoUJFZg5+mYmsBYrjq/+PFQFnS9dm9VPTvJ+RjQn6rgVScBJiA4aOOyXTHGN9SY8Rgr+JUVI3OuxekE+Hxb4sKwvV6zn/3bxh/+i8/YswRP3w6oiKAhwwRwnE/4c3uAgIwPSRIIYSoBrcEDYbJynXCSOg/COJV98xyNJr1Xw7IO8Hy9YLQF5RLhCyEpXR4ynv1Z/oK6SrmNwK8Brp3AXd/x22vIOi1qQDjW8L0Wn37/tcdeCbsvtP61flBA7XaC+ZBEF4Yr/6/gv5Txqc/73D5mWjbxhePzdWvyzvLxhsAsdwLPj6q4eg+qUBXGPW80sWv6+P8p8qKgQz44vwzTG/Ut9d6VkFYBC+RMd+r79u/6BpavlD/cfhQ0b2oYKDSp/3ssz67or5K7auO06K+VL6rKHsCT9bP98J4/uGIl36H6XXE/TBiyqHVUwNASBXDP3tGCgWnS4/xmrR2d2TwxNh9r/3n8x64fqkiXzUyyvTfVya3VC2f26Dza3Bj/y8qTNVejsYVR102iKZnuqzmB9igje5fkUX2wf9viKdskc9bFHVLe6RsoEbwgwfaU66yZmuFMBfPkARMOSKXsF4oKM2HMq2Ovl+72nnRsmDSahNhj628U2pZbqeNuOx6UxOzIL5lh6HvVREQYCvN3xDEbQaBVvqq00GxdVaD3ZDPVzDH5rNMMFWBlOJfYe9lpf9YrRX4s2vZw7bAMQRFVo3SKMECJ1OIIxat4TWE1u/bkSJvfSBJ0euUCrqoWVxH/BcJGCXiVHq8LAOiIUen3CEXbuPeMrmbxuY3gTaxrucN7edHwcs2dtrQYTXjHW6vBxs4Q/n9kGjz0K4paPTkn3h5Zo0AiK2nmniTYbXav6oODBV1ssiegwA9LDNjyhFjSVpHCOCSO0yWHQFBa1WCOcvs2brNOtuwqG6e0R+lqiBMrSbrbxT8luFy5/Em0N9ck2HIKbWgvmU+/D2G6KtjiOb4tNpaty0/xfzYjP3aX/cn3mfXa5l+pts5+0Mv2t6v39NKTRbb+0rXXhW0Hf2vEUAUpJRbOYWzTBZR1feJCq6lw7UkXHKHZQl6QBQorcsfiTY2kMjWeLi5x/a6YeJUbTMjP/G7z8bx81cDYzbvWTMfgs8/JaQOYpgsYCaClKq0pOhjZcGu2cxW3+fZV/uDTKiZMC0Rl5BA0JKUqQQsWTO5eluiYjlxswTk9p7aPbvtFnVkNHFttjxTy2jRNou++bPqHljGIxvzCOs+8vHaqm23TO6mPtqz35qlpBUYanNEN2ceiIBSlHZMpGAdWEWiLDP1U6yGRv33nweCgEGbFiztb/7H1wIAuMaC94CtlgmoZte7LiMFtdlVCFn0TL5Ih7FaRj73OC095jlAFtaWGp5RNKYCfXYG2gU/OxyhJQvT3NT/AbfldiYVWbOHZH4GYIF8gXdmIKaWuV7HDT/+90+UX7hr0OjlRWmGlexefmKd6wdtP9sFlxKaPXebTvb428+pTfdf/vhe/IOyIW5IVZ+oVlKRn4URso85mlrsyjoDPJPu2f31Wf091Bx3z3p6/e3N/fzI7tD6l9l7AlaAEmglVNXKrG40Bz7zbXRM1nNDgi0T/5zNgfu12s2Cb+yQgw+3IBxu6MpiIowxKnCQ4rrO/TXViKdlQK7GHsxJlYNNwbqBZj4EG8YJgCYIJ2UtP2FTsm8lFJ4J5tW/YluD3ltc7NyU7bUBeAIHRe0c4HNvwIXppXDWMeNFEMaK0KvdaiwBQvPdvbWmUmGV4g4xNlzhNka1BNR8u2AZ2jUjhIoC9d2bjWax9lYCiuuYOTi/0r4J2RIgRSJo4cb0rImQ+6oD1IKygHDVoLN0n28g++qi1GGeNfnWeq57W8ugnw+LII4FIDRlYvdJW9kZqd/roEY1AVEAze93RqmvN9WsUb2avAuqMt4AO7eT7udvppc+8+dg+3uGlpgYgKximLTqYGyXSFftGgq+CkPtZCHMWWOplskVTYZwUE2BQzcjV1bfEQAsiHVRWNqw3UpPf4gAdfP64/vkzgXEy2o8RIBcES8qRBXOE2jKINmhWOZO+gCpK41hvdiKLJe7QUUFlqLqYqam6oIOYOXJa59amAKxO86byTQD720oxDc7jAo3a1+z8dQhz6FNwHfpDkzf4LJ0+HjZoVbCsJshA+H6cQceg3HW1cCHaWNwRBdbORQ1JmNEnQJyqkr/OSfEp2AbbSvGI+3g8IOtCRgEfU7Oqiw7fbmDZmlVVTKOmgGuiVA7U3Rb1DDXTtWKwwjwuKwBGqMh+Dp3nzku1tZGYgDd390eWvYZGjPgyonBuS1rJkjryjTjK0Gl+MWUJnlRlDacZ23H86j1TGVQytaysyL5HljulQqhmW9dOGTBLZNgrhH/9sOfItuBnCsr/XyJmHPE+eMOmBj9J1Xhg2gjeypAd1LBGX2GADIK9s3h6DROf3yszq8Q6WdgjeNP8/qxRkdbM1zwGi6/rv88hVvnyHtHp3Bb71sVfSYBstcvBmqIvLZ48cNbjZSqIpIKl2XCtx/u8emyQxczulisr6JmX7s+o8SCBZ06N522a/K+f+5wtYN325GHBHUOmDJDpgCaGDwrmqqiBYqoxtHqsmzP6n3XTSBDkM5FyNb2G+6ItPoaBnzQmuqsWOArHiDQujZtXAFojS3QxHe8FvtmDW/nmH+Cg8o+v8U+bwGB1Sl6PTvYRFBIqbhSgXwI2jqko9YIfrmDidAJ6l5VqnVrCY7d1Kj5gQQf5j1+kx9xXjq8Ox0wzRHluQOPVv9kQI7bphoAJKzU+FogS4XUTU3uoCgqSlnBNDLQEcBW7X6rlQAANSn7xmvOw5jRfUILysSFjEw1n+es8xTV64rXopkbE9DbBg3bvpjuTLmCqTt7PAuiBWvLGCCV8FwOeIk7xE5V7Uth7XkOaA2tADJUzG8BvrCKrrhzKkbpMuXPfBS1QY8Z3ClZSioBmRtdLFzNnl+UphZH7zm5OiXxWlRtODGWY2xrFw3IUa0LrwWNZ10DeReAfUC8KsKt3QwMFN4p56/2EeJ1/95eqO8gSeme5NRjW+9eq9heg7cdqq323KnMW7ulQTFD9q7DgPW922UhgjxEtelGafTOA0rLl0ZtG8eEHANqVRDud/SAj3GPc+5wXRKmHPFy6VVs5lMHnhjpmdE9Y6Xhe3BRgXCZge/faVDCG8/a9nN+3IMPvTKLutDO2hbAkJ3Jlk0cniebJ4bcHyC92XurJ9XyIW4K0s1uWHDrJUbxUsGTtPPd63SRXHBSEWz3bVz4j2co48G6C9QI1B8GvHQdLpcefb+0msLAgn0/I3DFx30PIGiNY6qoMWhv27IBYzYvbX9HKKeEGkzgigC6BMQTw1uRcSHwpNm9RmPNgvRcQAIsDwnTm659h+qY6PrOO26UWQX3pQX17rjXQMqC6rT7hiq563ovptbOfUAYYrMpbQ8EBpWK7sOoPplRzJErqFbE64xYK2TfY367hxAQzxnpxVSdOwbninAyZdsU1LZ7V45cEa9oZ5Ow1ld714ParUEvZyCcGTP3yPuMYTdjRMR3pyNSqMg14Jgm/Pb8gPfnPcYxYXnudSys5jw9BfTvaQUsZLV7+iUrm4iaMwO8+9cH8ALs/7rT89I+n076+3jW7HPra2riSrLJtOW9iVJBhRA5azZQfc6K+VWP8U3E6ee6XvtPMLVhjdTKzlp2OngiWlsaR8Hp5wB+dsX1rsPzx4h4CSq22AFgwd/89VegmdG/1xqsslN78YmAPmXMOSDGgrwEpL/eoXsGTr8s6L+5oEsZd8OEl7HHp/0D0olQOmWohQuh/6i2/s2bE97sz/gPL99Y7S6tvVgJmwDXwIACVaqeBKUDnv8cWB4L4qeA7slVhnVMVZVYA97+PWs23nrUnr9iTHcD8t78GfOPtJZf11a4ApQJ3QswvK+6d7xtpdX4O2Cowa2uu+4Do54YXIDLVz1q1GtLAMbX3Mqi0osu0tM3ympIZ4CfK5YdYbqPiFfB8FQbQ6p21t3kqHTl7iMr4+xNBg0Fb96c8Hp3wbcvd3h52iF2BV88npC44roknKcOtWrt83JJSD8kCAHvM+Flt2B6GsAvATFTY/7lnQa18QJ0T4K8J4xvoH3u/wmvPz7IzVWdPw8CABBpL0RigK4zaF5AQwKXZAEgA2xZSqAhnEIEsgxh3UWUPiB9KuBpgdSgFEwLcMWQQlXFVAfZ6UDk9aeChozCeOcA1kClWkC5AJi03sRX8mXs8CFpO45p0mE67ifEUHF96Q0OsowuWfZhGxMxtGE9AcgKkUglSBTQxIhXkxM3B9QDE69ZuampNZomlXVRl8GCbFvUYVnRndo7JFM1MOEN1Ts7xZKAqguVvC7PKcpN2MpAi8Bae9smfbO4clGHmKjV5jZxGhtoiYw6OD1upYZSFRVGmZSE789ZOqXCeP1t7YA8qHESFxoBtC7Vb6My3p0OGOdkStkFcw4YLx1qZtApWrAF7UccVRXYVRXb3HHQrHNgoG6cv59a+7JmIj0TQrmqGqkF9/pLRaHcGSQft03mm8gABJY2bi0ABm5rlao0Oi53oalQtkO1qIIpFQFZlpOMhcqzZhDLKeGyMOY+oO8ziATBxjOljBAYea6QhSFRlN7G2ABEZsgFmjFslAlF7ZAJNDPChVf6piHA2mzelHqraLuw7XrfPK9nbyWsQY4ERXHxGdOz1Qo20H+zTj+n2fp4A2vtob/P17K/XwTApuWTU+w3/28P37K1HpTz5v79+3R/ly5i2bOCOFaTo737oDSgVBGirw/BYPQ2ZyhccodP4w6nqcPpNCiNcFRQwbOJ5Ehsy3qv4Iza6w24Bd2rKARaRFkoYgwLrw1dKrzG/nbw7T2RIAuU0pqhwmwtmFodfrJ2WmTrVEiaOFWr3dyUp2yz+W0d2HokMdXQAsgCcDLUG/oswoxlYEhVqls1e+wIKyVz/msEKKzOmDNJbF5KJ5BekHYLYioq6ONZFqsFdoYIL06bxZoJZJuPopRjpe4awm51ZO4w16SOS7TgSHUvyAR5bP0ttZWVNGX6TqnUVOqq+Bt1oLQEqNzsi6b63fZeaHZMPt8Txc6OwFqfy9yCw9t1ADTdAkAFEzv705td3wS4nhGrJSADYNZM+/PcYyoRz2Ov/Z+XiHKKQCGEs6p4RrPnt2C5/TUVlOcTeOhB+90KYNmrDkHp8IwmlFkGbvejPkTVrFUV8PNVwYGhB/oE17lo9pgI2YD3bYcD90vcHwlTATuQF6mBp2LZd85au+kMHD0/0PwYIbRAJJ0INQRk6nDpA0KnWamuy3jTed/6CsmsuiDRWrEwQTZMsm0A0gKoidfMEwHhyuie3NnV93lNbksuFAVxAGB+0DZMYValZRC0lt2yYDUo4NcyXb7cWjmJ2ioBABeiaoJZ2s5HbXhUAMfLX3puPW75srRrAdDsfRXQZYRcryB6ROmOgAW5PGZdr8S6hr1NEDPE6uDF5pSyAAGQ3gQDe1OtTdTqTD1o54VQR0aNATJoeZyWyAneccU5d/hw3uNyHlDOEem9nj/LQwGiIFwJ3bOpyW+ER39URhLMcNnr+qVgf4V+1hI9mhTStZisPC5aO8zSqZKvM+iE1u4JIKD2AE/A8SLonmysdozlQJjvdXziSACk2TCv3WzZVBgAeNGfvbq/4IlEv7dToaPa63pK7yPCSBg+6Afne+2lPV4izlO3ProAwztg/0PF9SvGcTfh9e6Cf/n4LT7Me/zfTwOmIcEZDLwEnUsWvNmf8aeHT/gP9A3Y2vxsAYTPXQeYTeZFgZjldcbbP3nC++UV4ndhBWqqBattX6h+g2dml6PZwmjngu0lwGwiVvG77klw+P3c1jdoPQuXvbXcpHWc4xXAFUAF5sNal1wFyK/Wums2Zvt8r9nr/lNFHCvmu4D5wQCaawVHAt0Z0GDrQVsTqU1aCOAo+ObuGf+Du+/Qx6/wdwD23YI/u/8AAPibpze4zkl9UxYga7mDEJDvImYh8Dko0FCo1fd7q8z0rGURpVNxr5I+Q+f+kdcfHeS25tNev+MtUqwnoPRdcxjjy2yGnVeHX0TrOWdTqbWMn5Aa/62og4ugOF0kjMUokNKoj57V8gVQrPifKtA/66GfrdeZ96AEAfEUlLY2VOg5L62dEJEgsOD17oI+ZlymDudCimx+UNU1dUzQ6g1rJ7ihuxL0/y7/3onSrEx2XSkSWs/ApvBZegsSeWMd7OUUH9+02lpI/98oB8PaYD2MRpVNAeiiBp1E4DGb4V+DtqaOXEkDrlx0jpmbkAONiykSrj0Xm4CU13dRhbdy4TG3GjIhgKvOu9ddlz5gvtfM1rJX8KL1wk1AfihArAi7ghALhn5R/KAynqeh0Q9DqMiZMY1JFU+tVi69qJhImNGy4tHq2KqpXNYhIQz9pl3MeliQC5cINao2+ToXWSmDRMCuQ6tHEt3M6kBsJtBbf7ReqR54YKVd+ddbxqZRWoVR9h2oVOslaHVuRp/ZALlt/rno2ksnC0SCUkUKC6RTEYxjPzfgoAqBuWJMHZaYMJdkjAU9BCqcOmNKi0mApMIPSovXQFcpONRobb52S0fAIWodExVs2zaI9Yh1Srs6+ObwePxPGxp1pwqzPJUmDvIHX+ZUkgvvBNY/uYBKbcFoa7+l/1vnBTAH173pzd9bMKhCM6dO0TcwQrN0hPmOm4qyOxLLQ9WxPC5IXUE/LDj0MwKJZrRywhN2AICP4w6na495jqoavjDCRbPmTp3VoGsFINRZrpB51qDn82DVadn+nLRZ10xK4wOsn7Xa6BVckBuqJ0rRzIlRs2vkTTkKAV28OQeMiG9rQPcHX7PaiEAoQdFmZECCimR4f3QxYSZhrW3qnrhRu2rQ9ZwBcCro90vrhUgAlhyQM2OZVf0cohoAteBGVMNvL09RhabmoOUPEzcnJUwwxx0biqiyXnhZARgXEvTslway6/7YXiPvA5ytFJojHzQvORvIFnnNGs5WM+sCgQboSJ+a3VHxH2NWFdsLALxc5ab3swN51jmhARSlIJw0aPYMsvoD+hltA0XqMB0sCBjUwVK7riI8rRfrpqSnVsY4J0wUcbr0WC4dMDLSp2B9XqlRDre1z4Ce6TUS6rFDeLhXanaM6zP6XlgquKpir+vthfH2PWE0HYtcG61Ze5oLeAmQoOPkStIO1MbLogylLiIf03o2OyPHTUY2cCNptrkY60oBEV3T2QJvF/AKswa3rnrLEZAzo2ZCKQXYATOAl6gPdf/qgvpIiFzBXPFB7pB/6Fv2dUtRLIPtmQjITqmUfArKVNhQIkvvwkym1CwwgBrIh2iMDdEOF1iDKy56VlI1oJLW7JOiqLgZf0Cd7O5paeu+gdyzB8iyYfGobanW27nRo+1DTeE+7IFdDxkS0im3s1YSA55NF9EWXwzUITWKNVWxGkXW/vDJztO0Mj9qZ2MVgRpERcJMSOnt3RlzCXg677AsjI/nHT7RDvMUGyW3Ji03Sk+698MIa+OiAWmNwPyg58lyF9Dvet04uUA2Z+D+O22J02yO4+7QuZtY528woagyMC5f6nrrnjRb271A6cbm43KxbOJ9wHJgVWbekQosmb/na1Ncu2lBC/4AvffpUdfRh48H1EtEEqzBdVANhHRSe3H6uZ7ZYTQwcWScnneaqFkYyITxLbAcGWVf8HJRn/R3/QPmErHbzxhZUC4RNKmvP99rsHRZOryf9qCg7eHCqFlDngjxU1QRW4sJqKhfGiagn7W2lU8BH58OoKyAQJg1Qw4Ay91GhMl8dQ+el+MaKA7v9BxbjgQXthV73jBpNvP5lz0kqK8KAtJJkwXC+h7NfqP9n7Ky5tJF65yne16p2gZ8dC+CZU+YXuv3jq8InIOqvlfdm/OD1t8+/Qug7AvihRUMEADVYp1MKNeAv/3wGh+ue1yXiFoZS2G8Hw86diToYsa0RNSiANpy1ORefA7AKYAnTcR4b+JtbXiYpdGkCev5+v/v9ccHubmos5eLiVlYtsIES+oQUVMHvi7gp0uTOfcJF5AK8pyvQN+hHPfqEHpgZ1kAV48jR/agWYKtsExNQTOctsFcuAFQakT/QwaXiulVwrLTBuM16X2kFz00ZkADXQD7pMjJMc1IoeCb3TN2YTYqleAkB/AcLFtqxn8wmXgzUmJUHw1yAbfQEqGKzFhRljhWzXJN0lBlAGjqv/4i3GQyAFNi7dbsDaAHPQmQTgXxWjRQ6iJqZOQ7NdpdqeBNI3FYj1s9sAFQBS0ZNM5Al1CTFrDzkoFphtwfUPdJD+DF6G0OYggpeuxtLFIEHRVVUDGKgtoF5H1C2TGme0Vn80GfZzkK8mMBuoruMKv4zqDiO7o0BEtlPI89RFRxOHDFmJP2TltIlfAWQvekWVwAjQYYRjSkKEegDAFx16+BzzaTW5UO1eo3PTbwjKxT/oak7QlyBeW5Bbs6yVgdRnMw28uRZqNU6aJVx5Wz1SUGpxgCjl4ram31I4NRGCfLGtgfLkAtAFfN6mmdkCrClhSAAxBDxevhgsgq/MIQ7NMeL0OPp36HM6AKnZ8Cwkzt8Mo7QbkrmoG23riSA1Bpo2KOVm/iWQOnrnkARrnCVcE9AKjBAkJu28Ym0OdRHafiQcS8ClV5zW5jI3z+8iymi+6YA4Elb0It32+EVl9Oa0ZWAq9IuoF824y+z7MEpSrXpBS95cgonYpvLAdT3twJylDBbyd0qWDoFqRYMMSMfZpRTDm5iNa25BJwufTIlwhkBl91nacXaodDE/NycMEDtlq1f6iIBro/9fosm+J18jWyDkdYx4wWC4gss0C5tn3R1HwB8HY/kbbxaHNRxXxcallcKgK+LFpy0QcVYLIgutWs+n2qKdVAr6jtVdq3ZlWyaJ2PsODhcG3jGrni07jDy9jjaY6oSVFK37I3NZ62MGQMEKiSsga5K/KsooEruCRkjl5RQbSWeWVfKzbMS93UK5OVclivx4MGlt1TRlgq8hBQDNgJ5LVubJRWBWrI+xRbLS+INMjtVBRPHOCxkoibnt6A0pXLuoa1721CPiTwVLQMKVfQddLA9vGIErmxcyQF1EPUzNCRMD94AHQLWvJQVDGcZC2frQwiwTUr6r+cOvBLVLHAHxzA+exMNFun56ZeaDkmxIe7FUzcqM5qj9divZqHtpbjpdysr3DN4Iv6Aa3v8Kh9gymQVitEVmE89vIKIFwW8PcfIfdH0BBVG8/2UFOdLoJg1PyyD9YfW3tycjanjr0nKSFdxM4tMnDWqKUBEGLUSZAF6pQLcBl7pJTx56/f4U1/0dpGEP5tCRgPHXhR+ubW4CmdsqqI5V4NR3gf0b+nJqapasE+/tq3telnEGE5qiaFUr0FZVABSaV5CpoIm1DrP6rtktZAXted/olnQXx3gqSI5WdHpSkvFWHS4JYXDWh51PvlwABWQG0LQrbSkb0xU0pFsPKiujMRTVHfEkQohwQEQh50fuNYlDLdK2hT7ez1OkVnKbgfmPcCeP94Fuz3E351/x7vxiM+vuxRclAl3rImLACgDgKegP571ownzG/JQLoIcq/tZsoAzEdG3Xe6JnO4CXLvfp2Rv9RARplRZifNFOedziEvmgktPePylQZ16QTEqYIzoTvp/vXrKFjFmF5rexzKWqrhYFNjwETLUE7reSSswkjLY1G7+a5HbGCdApjCGojtv624fMWgX53RdQXj39yh+0gIV0L+2Nm1FXyYvsxAUsbAdOpRK+F38QGRKx73V5TdiO/yA3COkKjtjepOabQf6ABOFfmugCSAXgihAPxB14m2H9U1n4+6h/Fc1bd8ZkypQ1i0pz1VVU6WAFy/BpZjRbzoPQMapEsULHd6r90T4/BtxXxPuL5V3yoflOWqokuC5Ui4fAPr014BAfa/Y/SfLDk2VoAYUwDACgDFUdv9pFPB+CpiftC5j2cgzoLj7wr2vznh+icHzA9JBQBfU6srJuvMMT5qP9z9f/YRX96d8Fd//xXiD2l1khjgWcvgTvmIUziAd0rLX0rAx3EHtiBXKeZWl8tAPlbwTOjfM+K4ghxh0iDeWxZxEUx3AXlnfsxnwOYfev3RQa70nfW3BD6vo9LVjjUQTdGaZ7vKpgkQJe1dKa74uKG1wa+L22uvFCDZ/Gztv6eo0moouRhiGNVB8KxXK9hudBal+tXCmIpKuScu1spAs2hN+TFW5L06VCtqj3YPspUyB9CEe3xcNjW8Tp12iqYrfYo9tiKfGne1FgOCGwe2PYN/h0i7fpuvDYLckPPILZPrgZgQNAPDrPWmW+AB0FYSgGYDPm9Z8fnL6J9NNXjzksTIe83groqijooK0BeEvuCwm9CnjDe7C+7TiCyMuURcc0I2waSlBO1ZOQXQla22Qp3PG7RfYNlBdzj9Z8CakSpAWWtrWxDbxlXWA9SzXB4MLSZKYuP6I0EWIiCqg06LXadCKRwiG5CB1oDN10yjJ/kzmHT/Zs80SrQ961a8xD/LWWmlJaugSDHWAZOg44xgTIZk6D9kk7n87NoaOBFk0h6PKnykjn8Ltp22ad+/vRd30vT+/ZS/XU9ei/8jJW4fO9Fx1jH3de9jtTo5q9oTVnvSnC4FK1ytl+ABHm7ajTWK+Y1Yma8DD4Cp/S3WJqMGq2/uaXWIeg1w830B+oL9fmoiDB0rkyRyxVx0bopQW+9lYWDW1kw8re08mgBT9efC6tiIBkQcY1Owb4YDBlQ1Q0Jt7DzAZ+v9fNNayfYC57quVabNfG/Gzn8WV7AA5KIu24VrQcEuQWD6C0ZZhJdg2C24GMtWrMPZC7dOs4BDRRcKhrjgmCZEqsid3sd1Ssh9p/PtYmn++e1aB+C96lp93GfmT2s10eowAbR1AK/DDGuZQQuANs+uapabs5AJNVhwK0ZHFgHBbInfxw0gSu2PMxMaQ8EBuO17/RUY4u7BGn1qWZApikuEKo+LMoQUnBZQUBr2cgy6zgdqDv9yJ5Cugg8LOAiG3YwhZZRKKFVZAtpfm5FzsNIHteWo61m9nVdf3+0xaltWuh+XbII8a30DGWhFS1GQPcdWW0vOIHMhJAPBvA0HR27MmjZfvk+y6SgEAnYDpN8w0zZro5n0jeBcq5X3YL2zLJCBR9XZLI5LiTqiEBgjjJo9Dyx4PF6wTwve9Bc8pksT0tz3M047AW+8v7XWcxUJqqM6M8Fol/6+lkm3+3IxGActb4SY7JHChsXQQPqw/e7V36sui2BqxZxFGTKb8fbSLQBas5ul1UK3zgPOArQ1vArI2YJhgoBv/IJW8laqgRfxZm2VPtgfP3dXx7z0aGrB+VjVv0jquFFQPZZdtyBRVdseKmrR/sWtx3aFAmJXXm25bH1KBTxAmvECNPCSYKy7zwzRVlDLtQU0K6Z/w/xV9T+rjTnb3GjGej4q44hEGlDdstctS2lgmp03XAAa4d0tf2RD45kgFDSg3Qbetg7JWDTLwbQqrgklB0gnWB5Um0VSNSVr87OtdpaCgKzV3sXosafzoMy+KQBdVaaZYV4vlx7XOaFcInjWNVR2Nn62hvOgmXgNwnWu8k6BRVpURTiMmkihovctbR0bQGRZS14IUgnUARKk+aau7SMZcBZomDf7bsHGh9nsWawxgbcHSmdBuoplZyOWg/kjBEvsqZ5PvuuxHLiBZQ7q5p363+mZkM563fOlx3vWmy27amPu62wLkOp3ebvDaYnaUipoEuRy6kHvu3a2Ut6Ul258RAWRrN1mhQFI6lOmEyHPn/mj/8jrjw5y8+OAeCXgOresiD61OT5OQ+4Dyr5TyffrAmIgv9op/QQdEMgysXpLnqV1Q9XqV0TR6kaT8+DMs2m2KPuPGWEsapB2emDlQ9DG3I+EvFP0qn8vuomOqtYVZoCEsYwRT9cBu27Bm92CjjMWYdTSYSkqUJWGjPlrPYTDmW8cYQnQzeQ/cqdbCDTp9/BijqBYxmWWVtgtwTLRhE07ijVogIhm5qyW142uGghpqJkfkE2Axw7u9GLodCCUQ28HfoX391URFM3IKmWg6EFToXN1t2k3tG2ns3WULACRyCsNnVe0T5iQdxHXt6GpyfomLIMK7+zvR+z7Bf/81Ts8pCv+i+Nv8KfpPX7I93iX7/D9fId/jz/Baenw/Yd75GtE+BTRfXLK6Wo0fSzUidA14HPT6rVFQOMMuV6BTcsJiVFrpqpAUIF50fUWw0rvho39MkNCQN0nDSg8S+JUwEAtGOMimimH0gslKq2wOUaE5hxoi5CKJkbGZDWdZIeTB+0r20Ep1WSghjm4stJ+8j5gniNiLKjQbPgxzrrea0AVwtN1ABYCzdQO3KZoW9cAkM+MLUXfD0Sn2JHV8NZACJuAPA+8GjmjdXptCtmeqRYMhE2G0vsu8lxbwFl7bWdFU25OUAMMmJU+u2kVpUbMqJ1Ea+15ttrFIUHMqV0zup85EoHXteCOKoV2P3kXNzVbhOlB63Dne6VHyesFX3/1Cfu04KvdC/qQcRdH7MKClzzg07zDSLHNx5J1zuQSkZ4DaAHiZRU8UkEKtMNTA1sD+Qgo+4R4d1y37CZY58sVFAZsgRsSAblQmtUTV2wCsJYFrC14khC07OMzoMFttcDqUQGlbLqKvDk6EBXYG++S1s/vGMUyXGwUT3f2PKhTh8f3oTnO2WrJWYCuIvUZb3cnHNOE190FPWe87i6YqvZH/7tTjzIxhLSpPV2oqYxSNuc5Fr1Pz9hi3aP+ipOWiPgz10hY9sqz8hpEd1iFAMobB75av0Lb13FUm1UjAYGQTlkzTSKmo7C23moCOxVorVYMfCawBsNOKS7K0gERZNdbPbYBDszaRxRQ+16qlrZMRRkmKaiTelTmi4obKlNB9Q4Ily+D9r/dKy1xfltw/80LuliwSwv6mPHN/gmvuwuelh0+Tnu8LD1+OB1UYfOcQCMjjKw08GICNqxUttW+SGNvOa3NAUEJDJoq6ssJsmmtQlmp8PRyQSBCigoexOdRKZ99bMGtmF8yvVb2U5irUaVLy/g5LhQvWbPygZG/vEeNJiDlgFpdGSd1CFiOsWUDm96B0UHzDo3lBaAxz1wkiKpma4RWR7r0hHog9MOC/83Xf4lX6Yw9zwioeKkDLqXHz45P+OGre+QpgE5BS76sFyUXQGYCC4GX0MD4Ym3I/E88G+W4aFbRtQRc6drFPgGrvzSH288tF2hyfYY2j6azIgT0zwXdpwUQQTl0DVRQnRUFJOoQsBy0d3Pobnvtatu5vtkoDWCr7hnzNWDtgCDQzP5sJRaloBx7LHf6EDzreTU9KvW+MRE9+AyE5V6w3AvwdsIvv/oAAMq+qdzK3r7Yn7ELC4a4oE/WFgkRlWC0W9WxGN6tJSduvyVCyy7MXndPAKAt12ofQHNFWG5r7ptwXqdib9PbgjAy4rdauuVtYcKs4xkvFf3H0PqFl45w/hnh8qsF8UPE43/U+1nerHXhniCoXoJnjJZ0EqRrxbJjzHcrgElFsP+9Xv/6JePys6KZ0t4CnkwIWQPN059qlNz9ttP1/c2E9CezigcuATEVHPYTihBePu6BKYCGBbv9jJwZzy97lHPE4a8T0hl4+aWgfjVpjfrMgADz7w9YKtBdSAXXdoLxy23NFyCHjNBVLFPAMuocAQpExCsQrxrgxqtlXX8mxkIgpCfC9LaivMrgTxGH31Kra6+umWJ7GR83/pKoHahR/fz04qVNOpZh1vfVoL4sVWD4UMEZOHw7IZwXPP3FEU9/ZvvG/IHlDnDaS+4HjK8J41tl0g0/6DNdfpnx9uef8OGvXuPhb3Udjv+ww6djD+wL+O2EZIyzXBnXS4+aCXKN6icS8LAbMeaITy87SGUMO2VOxd/2eP3vBcuBcPmaDFTGeo9F1+XyqPuqJj3vvQwrXoDdD4I6bdHcf/z1x2dyDYEkXtFivdvPomxzNCv4RuhUDA3wRusrSut1Q16r9dOvrRPVpOCdwtXgUv0Or8MVS+mrYAkgHgBZsEMBQGbMOSKwIFcGQ1HQahnd9Qa2g7H+iCoUhd7+3n1rEynZZrbW+g0L9qwvlQ+SUzlb1ncTQJBoBmyLiLb+sy3o3Xhhm8yrkNEOP8/S+Zg6WvN58MrcKFc3as0/MT8CagGuj5MQtPUCrwiliwvVZCrKXW0O0evugsd4wRfxGW/CCRWMRQIusUMKBbTY8NfbonXcBGQbNPnmHn0MNw5/FeBzdWXSv8mztMBNgNsUEKooQmpKo1q7qPfgbW3WNjdYs8DbMbd10f6WzXoG1oDAD1ra3MP28G3BBSzhoagxFagwnKH3InTTfmL7qobut5YFzkBoqKuBLwutWTVs3rcZ8yYyEyxgFGo02pv32p5d7cl2vhwlsfnwzPofevl1GKvS8gYVbf83BeAbQamWCfTM3WffZZ+7sX3s+8vmszlDaMqGNQHSC2Kf8Wq44pgmvO1P6DnjIV7Rm3c7FTXTFy4onin2dV7Qap5bYLcBINaB/8PD8/lLNvacPsv43bTUsf97cNtYCXJb33+jRO6MG1+b2LS3IBOlqB5QOqBj4E2QlUnjt2FrqtGVZSMQ08ZiA76QiqwFVCQqiFwwtVSV7nM9C+hmXVKL5e0NtvbXzDlWAI+wZtwqrUFYu8fN+9Rf+vFc+WNu7ZbZoB/V7fv4s60NtoH5CZus9/TZGgdW++XUe58fBzyc3SA+Xysbq3pWOngAQ000UPuuAhgKXu2vCuJ0Izou+KI74d4KN4vRaT/QHtnG1+s3b7LoPu+0jndjrGzm/ea1HbM2prebgvw97WwkgLllWz0jViO1etLbz/t9iLbLMzCzCTH61zW77SVBbqu3F7M9WKUF0C2LXVancF0jm5/bWu85Y6CMYAYsQFq/6BCLCbDFGztSaWWmOQNK16iuibYXCpr2w/b8riJNA8Vvjot+/iZjvbXn/5ivamMJwQZwA7ze98bm2znb1kRbK+ZTMkGq2Fpe1eG3LRjdP3VzsrY/QzvT3Ib7GevzVKMFLX3Fbljwzf4ZFYTnebg5U/dxbvaLuYJZu0MIuwgr1vH3OTUxVfls/Wv3DGOLbJM9m3XuSvQ37CmBtf4RIK1ruqZg2TwbJ7dRAaDOMtOyAt01uM/0E/PWAPD1PoAV4HP1YV5Wv0EZXaYfInp9MVDHa/CLmDLvHLWdVSQM3QIRwjlW1KK/D1xRN/6miwGSQDPnTnuR1a9p64jQWH7aBkdALGCuqMxtDZRe/fW19eealZWw+kD+jPDWcv5VZTXPvtZUzNO6fXjmHHaGOqvD58VA0gYweccJW0coa7mM71cFxADvxqFCaeuabn9ixaGb8a6vKLYueAZ40kAbUP2bu2HC4h1NMmtXDSs3AWA0ZQDbzhT2DL4OfH1uM8m+7iQAYszoQP4ZQZwEZfqnOTV/vLqyU+KqUZb60A6G7UuiIr1K/xnaz1tzcG+TYhkuF9v5PHOik6YBMYpSQ+sQUY6d9UXTQbt+mVBD1zJcNRGmh7X9hNN8VmqM2odwVYGF0gVc0oCpS6gCdLHgoR/RhYIiBCJBniK6b1MTkFodLaNjPCl9q3btV4B9RzqvjlBlYHqllBA3RDWsi6kp0xpPfhU10edyJ8AzeYAZhqvRy3K9pRLaeLeDlMgQZs26owdW7ojVFxarsfNsufcgBZRG9BNBBk0FNM3ArkPZGw2wCgii2WCrB4yjIA8mCz4A8xcF8X7G/WHEN/fP+Gr3gv/y/i/xJpyw5wkBgj1NeB1PuNQeHWf0MSudk6zvZe9qjDB6lWYHPcgIi4C91sWCPZ6KUttiAL16AGQHfLJnGaemQyV9gnRaq9Nq0A0hbu2Egtb7qBPIkETrPLhKOKS1JmgtWURaRh3BgR8DCRJbjaqh3UZ7jKM+Q+mtfsSd6Q2FvVGSFluEpMI6vCiDoVbCVGI7kCNVPC8DzkuHJWv9IS2EdNK2EZ7x9+BXx2A9GAFzksxo1Uh2uNDqNDCt9ybOStgo1BZZD6aqn2n0UKvF0nNKDTaPSj3ULzcHMtMNtVy6iOI1Y9dFUX3LKDYwp4gqZBv1nDy6CWFDFdzYpC6p3auw4FzavJOoiEmOSnHLvbZjKj2Q32TsXl3x1cML/uL+e7xNJ/znu9/gjq840IxEBX+9fIH/GL7BSxnAJLjkhA+XHWaOzSm6GfPPDmyYEySVEK46luGyQMYRsNYqNy2EdgNEVGBHmHVvL0VrL0VQHw4ouwQyhWDXXSAfqyKgZdEa/hS1tY2DOUQK/sS1jdjKrtjQd2HvcyyiKhuBizSaN1VtXeLMALe7TWXeTdNVIJMi3XliLH3EaenBJDgEFVr7zeUR31/u8P3TEfwpIVyp1UJJpObIaEsDgqao1caH0WpxZ/29quyLinxENDVxt+cNzCNr+2a6AFs2A1tbGt9DvHxmW4MKPant0mw6W120ZlgJJKEBE1Rqo+bpNU0B3vZJs+Oe5c0FZL0cwaw03c+CZa13ZKDfBAM2h6XXTK7TN+cvCtLjiD999YL/8Zvf4FW84F/v/wEDLXhfjjjXHm/TCy59h2+nBzxPA164w9j3rS8rjBru7U6qEcBgAAZnoDurU7dl6Oi+ZlDfK5Brugx8zbpvXx1RDj3KPkLmCr4EEDPyqx2WfVwpuQTEy2pbfF163bOzCyQyStQz0mt0q2UY+aqMk2UfrQOCzq1TfTXQMMe52NqNK/XRncJ0FnQvKiYzvuYGErb9vxCulw7/7ulneOhGvE6aPZxqxFR1/dfCkMzoXkhZILOObem1XYyXW7VKBg/EbduCjZSE1anPg86FM+58T6ougKmGR12v6azP5wGTB/2AZgGpKqttet0jXgrS06g0/ehBqbS1H+ZqDDC9kPs9a7mWzROA2gVsmQf6Q93n84MK+yiTSAOWeC66pq3lEeeNwusOxhAESlIl5PRqxC9ef8T//PFvMdCCvcnXfihHTDXh9/MDvh3vcVp6pFAholFJzozpGjVDWFWUKEzA/lkVkJed7qUtK40tkIynogwEO7do0yd3etQ+pLwA6QWgHBAmzfhRBZ5fEeZHtU/LQR1OIdLa71mDifQMLN93SM/U7JIGjZtsM+u6dSYhoOt22QdMrwjXr9XWPfyVCiGNj4x8r58//j0j74HrNwWSBDRzS+JAtDY2jOoe5R86nC4B8SVgdyJMryvmuwt2KePLt88Q8829vLDsJlx2HU7TEeHCKIeqlOVCoKz+ubxaICwomZVq66VWmZSxIECeGUtfwRMjjhpDjF8U9UkWtU3dJ62RrRHoPtnPnkTbB30EQBF5T5gf7Ky6UitRnO7XYLtEwvUL/Y7jbyv23824fpEw31niy/bW/IDWYrPsxBhdbGdQh+5Z68uH9wpoxHHjPxm7qPm+i14z7/WsRSF8/3wEuoqP/zLYOQvNsj9FyEvE/E3Fz7/6hEOc8UX3ggLGv/3wp3h3OgAATlOHGCp+/uaT6ueUgKUyXn454rtDrxnZ73WdzvfKBOg+ErqL+mplp/Y9XNWe9B+A/qkijoJ0qsjL5lD7A6//BOrKQEOEGatT3236r1ZYAEuQCu0vJ2K9basGC+7g3CBOVldryJSLmKiSpH+/BmLFhF1cgXXZEcrO+kyJZnHzQM3xuBETcefZUY4KhFl7LRYA45xQK6MPBUUYxZAKyYR4oobkACsqof8BwEax2hRLszlEEoASNcjNA8CJGgLmSJHfIxWoWi2klZQoSqmBgzZ4tq+1Q68FuEtRA2hOy1b8wh1Qp/KosJcLfcEyAg4dqRMkximkz2q9tiIPQgCLaP/Qiobeusz/NrPb6E1GU6Z9xn4/4WE34t4O6T9N7/GGr1iEMYPRUcFAC3peVCjJkTmCGtwoSrnaINycgeKHdl1BgWrCRU3h1+h7W8cQWYVSdD6oiUJhcz1/NfEhO2BrEza6rbvTh2elP/t7ioBK0e9m810247xmFFbUmoqoinigxghwAKU1DLcMvyN9LgDhQZIq4WkEd8kdmARTiVhK0NZa1YEAdc5r2GYhbh/KkcbtgSzs69UdfWwyW/p+V25mAyFkoQagtet6wGt/b9s4eY1dC84+B16MAlv7oLZnKiApK8jQ7n8z8d5uC1j/3gQFAExpWG2CivoQpDMgrqKhmkrlNLZGEvAu4+FwxRe7E75ML3ibXvDP0jvcUcZAQCLCKB/xIR6RqOAlaVYg+CFO61hvx/7zn2nSSbQ+vQK0VMiiaukUGNg8r6Sgm6TUFcgAFPzxQLRjpeouWduNWWCqQZXoZ3NRW+JU8baGgRvmwuYe9QHsv/6+z95Tg9K1FLhCy3StWVM0m+72XMtmlAYnhbDUgLlELMKIEnBaejxdB8xjQpw0cE1npVgue0AMMONCqBCrhVNU2wXVeHaQRvdZMTAjTGtw0Gr4OljQQuBZ7bk7/6G1kpN1jXtdbxsbamOodXAC8f7Q7EGA2eVSQcum5tnteS56jbBpAbTNBJHZBhIgGQ3f92EVBYfaRl/n6rbNk9nhw4LX9xf8yfEJP+s/4qv4hH/dfYuBgP+wLPg2PwAAHgNjqRFDXDCVAAoVwmENtGS15cI6F9tlxIva/9LT5jOi9xYjsK3JXQpk3zdfpUZzbA0cy0NA3rOeq1ntcpiUCl7NX2laAMYkEViA53NktlHX5nrGSCQsO1aK6GzMILONJRkleRSlbG7WS5h0DDhbANwyy1iZBMbwqHPAh/GAuUYwBItMmGpEFdUaUYBM6ZlhsiBi1ojT2W6lX9dc24ItIN1sYV930ZaQj739XSpZNteC5KL7S4GB9Ux0Ft9K5yfUQYMpKgKpVf2HLXOqmk8RqWXuGovNmW/O7PD5iBqw6rmvj6gq1grQhEn3YZgEadT9uYS1fVec/F7JNFJ0jtBVDMOC1/0Ff5o+4I6v+DKcwCT4Nt/hpe5wqR3+Lr9BNgpzDIRSKxCBCRpEENThJ7ESlLGihpUR4JkwZe+YwrSVFFAuoI3AWh4IqYEBBhRZyyAFZYCyq1iqOq5OB+WyXj9MooCerb8GTlqWMo52lndY2VswtlJQECA/ZEhQkdZVWFXFpfpnvah0AhqKAhZRg0wVpqQW9GpHjID0QkgvKjJXK4NJcN+PiFwx5YipxBbsBq643A/IXbBggNBqchmIfUaIFbUSpBKWMQLnaPeqY1aDLlCeyLKZAtkXFQNdGKhaIxotIPPa3DBa6cokCGPF5cuI8a2uxWgJNTGbxVkQzPdfjn5GAOm0YHoVWwLP2Sqll1ZnXfdVs8WssdZy4ObrhatmhNNV2nxSFcz3qprsrCVXz/ayynlKoCBYXqtAGF/VtrCto1IZj90VX3Qv+B/tfgMA+DAfwBA8zz3OU4cuFnyxOyFSxYdpj2tOuL+74JIypnc77H+nQGJNqkAO1rmuGx/Pfc94FRWhmrUNm2z1JP7A648OcnnKkG4w50jA46I1LF2nm8FqR2qK1tycLLMApTi7A+7Itf2b5wIaF21Z49RQmINvvVbrXjMoWvcoAAuWRChG83WDuOzMAMfV0HoAqkHiekh4/YuKPgWUQqgHxpyB37x7vKUgZ0beax2Cto6wWqHFHS+yzYGGmDSqiBuDaQ1IHMXdUpgANJpCvKBljJ02mQcdk3SpiHPV6xufv3YMdIwisRl+WtSBqelWSAp9AKRvv7MB10N9SKA+NSeIimhvW1PURgoWPCQ0Kq4BHrzTOiZerJa021C/SBX6iqPX1kYpL9yoswxB5Ip7mvCaCzzy/B0En6p2KB/Cgj7klW2XBGXnVDkFLOLVxt0Ph7quA3b1arbg1mms2yCpi0DqlIIcgwICzBD22kvPBm4o+y6Os3leMgoa1aLz720PajWghZpYxk8xyNcsqDuUWINbF8Do6CZ4bIDO5nHcWYkXwvyux7hL+H0lxFjALCASTFNCngPqOaHbtKahDIRiDuU2cCcfT2xqnO1XjpOwO7/r/Vbrd1Y7tQdxBGTUYE77sKHNhdZXiWW7qjriW6ZprkDYzB2b3XDVcEDVMQHLQFrGq0jLNgoCKNk1vDeoBxY/8dJAjhWwM0pnc3CjCU7FdU5anWxRESkAuAsjDjzpuicgECGA8CfhgmH3t/htfsS75YglBrw9ntGnjO+niHzpNPOQtbvyNnPfwDGbhxb8RgbtBqCoyrJsaPl0nQG2FlhLUX+yAjJosWvrd8vU2gi1tigSQFHpfvA6ZeuF6z2gtwJ2PGkmWAODFfSiqo5bTYxyZ8rh/UoJhK2f+d4H1NZetQAM6xj7K8xAemYs0uE3wyP6fsEP1wMSV/z+4z3mpx50DYqum1qsq/N7r+FIRg+zUojuWbNqPt5kqLxnrzCR1V4TvO1Ku09ZJynMQBQDIaxvaJs/q+EE0AIonlUVuHZxpcVa7/n27IBR0qznN9DATgkBsJYjVDS7KPNiGTpWMSmncxooKkRa91uVneLK2LRUhKWidgG103OYF+urXdV5qkvAdU4Ys34mkCAQMBDji3DGQNYeBoREGb+7e8SHXnvUn+KAhTsU6xuRXm41HW7KcyzQbJoUizr9qvT9mUPkbb1S0ADCg3PzY7Svq4MyaOMvdk60kqqlQEJE3kXNzkwVbGPa/BphA7crUAXhWtDZPbvN7E7VgAFuNc2aKUQLKGoCkIA8qXMvwRhKbv8378XM+HDZ4Txr27HEBd+fjng57VDmAJy0/6j6K7jxUVyM0/fW1m/xlodb8FKVZ1e7XnaygmOiZwyudu0JrUer7i0BC258sHg1pX3LlHMWFFtvrUwHljCxbJTQuvedgkxZbpg9Curc2hnfu2uJggYl8aLrpQxhTVw46FRVEEsu6idMb0j3diFcLj0+THu8L0eMkrAgIJghuuMr/qz/AelVwaV0eL8ccM49/vrpDV6uAxoDXtYxrxHIPbfzw1/CwNJDgfNATUNCYoCUsL6RzGaCNvdvtkEE6QUAAtKLZh392oD1V91ry679t5r5u3xNzYbFq2a100lQetK6W/u8mGgeSOe8excBAV5+QThnbr52GYDznQaNlAkymu8TBOlZa5NLB5x/Vq28p6rg6yvCtZL6/B8PeEk7fP3mCff9iHeXPV5OO63XHWaMiwat4cIrnZjN7xDC8tRjYdFOIKECQpDeVM+NJg0oAJEfC+RuUTuwaEbYz5naaVsipYKrHzSDkDOQzoRoeyS96DONb1TMqntixLMyEYoBWn5GLDvC+HbA+euA8y+KjvuFm5o1Z1XFjiNjORLOP1cx3HRiCKmglKvNT1DW0f6Hinh1lo/akO4TtRhEWBA/BciJEWfNZtcOmL7I0D5PummCEP6rb3+Bt/sLHr66Ys8TzrnDVCL++cN7/A+Pv0cFYawJgSr+zYPa+v/Db/5n+PibB/DEuH7l7D1qrYM0prkFiH2fagwBZArI82ad/4HXHx/kLhV1pwdcPC2g86iDcLSD0ahU2kDYFsSszr77IGHStgcwpTuqAM0ZNM2quLxbuVJigkhas8pw8Z4myGNS7oBlZQNQdrTyuz14NKevKfw5DcOyvDW45WNVny0B9QcV2SqD9tOlrEXqkqBqtXUtuK9JDR8zUMuadVtrJ/TfXNVo5x2aNH/eoWXBtvfIC63jY0FGHlzAgdrBzrNmYZZ9bIcACOBJWqP22vHmnkT7135GMeel6kGyU0VByoIwqrAGna6g66RBITOQCGXnSpI2pn0AkMBzRbgsQGCUozb81jfA5Pd1DDgDMimCV4oGupELBl7wwAseuENPEYEYL3LWtYOKXViwj6sSssSKsvODjFAnQveRESY/WNForgQxg6QIu/Tdj2qz9IuC0pTThpZKVvMQeK29MocQQKsZWmt7/OdobYK8zy4BQDWUubMJ33z9DT3WA9ygwgSy2cU1oPXoW6kpq+O7VbFVNBHgzMgHwowBc6ztMKUxgEdCmtTQ8WI077wJIqpBu5ugOkz6nlZnaTS1m/prD3SjtkFQR8OceXPKlRoqN5lJRY+rCXaZI+oelc0b2cKWbcZ9UxvHs1LQah9QiVTkTtRJaJRa6/lJpaL1GwXhRxnIjdr1zTxZlq2J8fA6PupsEKQw5hzAJLgLVxyM2lbsYkyEP4k9/owSHvl7/DfxF1gk4KvdC+7SiOfLgPEUAdY1DnMWP8+2tKDAbzkxwjBAphmYJmwzuTRNIAtkvW8wiIAutWBqVewkW4es35dY7QUROAUFcBb1holMQTSswYkL9JSd2inPWFIW8JQBjtYay1tzkLUpUSfKFTBXCrvZSM/ubF5hBDpSJHrqBsyxx3kYQAzUjx26J23BFEzQqKHatDq1nC1YteHqngT9iyp8+pnTHGjLWMx3hPFLrWeTVNd9lYFW3xasX3oDeKt1AiA935YCrw/V1jdZqfYA6mBlJ8Em3MA5MYe+enmAQAPaIroXYq82aJz05/OiWfFd3/rStwz8JtNLuUJSQDaxn+5jbu0CnYkSFmmZaqoAFsI0R4xFM4kAkAAkYnwVCl7zFQVqUgfK+OFwj3fdHZ6XAe9iwXsh5EqgEtoZepNh3AAaZGCB0git/MRKbW5sqAW02uvU/IOi9pdQrRWToHZ826/ea5PN9tFSgCFq0EkqSoUKU2yuoMKgoswoWlS5OV6AsFRln/VKZe6eNYO17DsV6hq0jQgVQjzreiqD2swwKOgD0nUtLPr9Dt5XZS1czgPGUHCdE4gEp2+P6H8IrfsdZVvvLljoa31caYzCuFFs9564ntFrVGur6yuDYHmdFWjMTkUK4FmzuWGUtfTKAeYtlb5qxotLBc1a3lOTsm9+9DJb0tap4xik80sZjdkjBljd9CguAi8H8mCeiyBcK9LzjDJELHfhhnXmdaYBykKUwCidoOwEqIRyTniaBjyVHaaa8FIGJCr4WfqIA0/4Z933+FV6h7N0+CHf40M+4rvrnQa5n69nMXab9QbdgskSlKqqNG1WxlwMmnTYyGYLad2likt9DmgQumfRnq9PguFDQU2E8VGFQPNB57X/INh9W3D5MuDlVwBIsPuWEa+C/knQf1iw3EXzy7H2ebb5CCPQZ7Xh158XSKoYfpMwfNCM5fiVLQCjCXsgGy8Rx99WnL9iTP9qxHE/QUTP+7vdiId+xO+e73H+mwcIA+djh0Oa8XIekD8MWAa97jJHhDMrLd+SUXkHLPfGmrnq2irHCukIiAIeMio7cKfZdSoA7mf8m1/+A7673OHvf/tWs7iiZ2/tBAtrW6F4JUgxlkX181/PyfQiwJFw/WcLuuOMifc3woO+zgAV7bsi4Pql4O7nz7iOCfL3B4SsAFUYgcO3Bce/P+P0qwNe/qKChoL5aQBgVOZu9bN40YCbF/Mxilj2WWOW+R6QZH2CsyaH0osG79MvCvb3o/pbAKYx4cPvHvByv8NvHx/xJp1xyR2mEvCv7n6L//3r/w4/lAn/t+svUYTwv97/Hb4JO/yffvhX6N+pKOH8RQYqYfebiHQ2m9LrGvUgN9s53yjxBkjmn+jW8lOv/wR05boi/iKa5fLMFavjU3hVgwXWh9BgQxF7N5pkmV/pIoABsktaP7qtzb31XxRx6XVBekBXkxo6R/9bcAu0lL8mztaAS68rqwHOikJO73SU45kQZkPEijpF8azoQ7yi1SBu6coaeFpwVW/vXe9VIELtIJFAoEGaIRMAEtZgyZ+jqTH6OFpmFwBcwEWDVD0A/ABrAZeLGRA0U+7qg9v7swxLtR6MRABIQQba9xb4xeYUhbGsWdwNXasJX7HAa5W8j17urYA/bsQWZsY8JZxTh+d5h2/DPf7d/DW+CM/403jBAweMFvknKniTNOA97kc8F0a+RtBik23GonZaq+XKsy0AqEaFEj0klSpsvYHrpoWQj1mucDqstwPxQ7Xa/1uQL6vj28Y/kxUy2f0tWGtGnSJebxe4eHBFm3G1QKZlddu/6eaQBPR3NWgmZpu9b4BJteBgYiCvTgBfCcHoOX5AtnZMro6cCWKZp7aVNsG1C0jRtuUKYMZM1kzuZs9oLRi1VlKgNTvTWk20P6soEmXNlKzqr7RmYVzZ+zO037Owt/MMUzkIQA9Q2VyrbuZrc32v20MX237bvprQgjNGsh6up9OA7w53+O7+Aeeq9Ql7mvCz+Iw7LnhBATDhB4voQvPkoIFj1DUlwajEgZq9gMU8Na5rgn0veqQWnDpi45S0lVvrH+w9rz2zF53WxO37PAjw7JWYYiktFWGkdayAlgXzf29fTomtiQGOKBtGids9Vxltwbw9Z6tWsOe8EUNxB9aYInxlSBTUkgBa6ceUVzseRqzCOmaLaxITKVwdXgcw/D69NrNYH81WLyn2OdKMQSW9Xo0EimjnlmclXSNC69lXW0bQsdTMuAcR0J/Z70js/xsKMQTKNigVBqmBwEDfQUSAeVFAI65gJxUfTLsxQAOGTS197QIo6PlbOm7nvAbjmtCnibFMEe8vB/zH81d4yju8CSc88gWJuGW6AOClDk0QzHsrtlZ3rBkj3tSg+qBRNfuL9ZzXMbOFwAHAJlDagFXVqKggoOyiAiTGfJJArV+9z3GYlPlRh4BMA8pO+wEDaH+rzXOQQO/TwcvaaTssF2KiqowmDxpbOUen/lBNVrsnK3Cf9xs7v/EDfI2TMHJMKDGgDEWFcyb1WVZbAGOBoNlrF7EB1qxtO2t8//mawrq2vbdn6ZVySkFQJwBlQ6m2qXCfKMxOK16nUq9FKMxgJkhl1KDrigRWa6sgvbIFjAIe0NatUs8BDAEShzaXAFr5nJ+n2PiUwXrCBlO/5rkgXm1dDbz6jx5c2xiE2Z6xqF05jT3eLXe4CyOOYUQB41PZY5aAgRYceEKQhFkiFgnYxQXHYcKlG9asMVlg0lMbIwffNOA1fwlofp/u7QxsanLjVVCttyhVBRnAwPkrXW8OSOeBcP46qqrtUc8vXgDDXZEtURRm8y1tPc4HQklJAch0uy48cePnHQDwRUGl2gmmR8L8UIG7BbIw4ocEqkAmgojatpI0WynfD3gZOvBxQYgFH/MeT+cdxkunQlUF+PT9HZ4+7SGWtS0kmOeIujCiZVcdvCyDoBwqqBL4Qo2Z0MAyt8fWgtLnpVwj/u7pNc5TB5kZ2OqQGGipjLLNc5s/5PtAor4vfEhYLgHpuvHpfB/AP6PnOVXC9dphGSOGq9rWvNMgmDMjTHsse0b6yChdgLCsGj8E8ExIJ7Qe4xII0z1hvlcWajprsjDvlUnmfqE/W5gEw9/3mHcd8uuMeNA1RkNBiBUflgMKGMc0gQ8VT3mH//PlFb5dHvD/ev4zMAm+jC8o6T2OccLk6tVBz8vlQdmXnDdz4cNgTNYmyGvPVD5POPwjrz9eeKoI+OLa8kpZdTqxBMKStM9Y7ai1xPHDKMyqpFajgJPSS+JFUdd87AB0KIOhKXNFvGQ7xAUo66IoHaN6Y25zOvKBkAd1pPMOK7/eUcPtubUJgMO04f9fgHQGdt8pgu4ZsmgOc7wqmu/1vMAmQJF1kYSsP3cHt4Y1K1HswE4nNTZXJiwH2xCDWjF3WuuzIcpRjQtgjpgrx3nfOBO8ideyZpoAdT53WjjDi6hD2avRIWJQrZbZVENY+rD25IXFK5GASlje7NGUTKuA5or48QIXPwEz6hBR05YOKq1dQrwIeKrAXcByZ0a16AEdT4xMHZ4r8G3KeJoHfJz/F3hII/63r/49/rPuO3yqinzehSv+YvctXrodPr7a4/t+Vlr5S7wJ9pajIlrpogI8/tI50dOVSlWBnUlbCMmmhRDExIiIIPtB6VNuz1mbxdd+s+luwAxHNi1LQ0q5hyhlky3jpcFaAfyM8jrGgE0As16vOUOmlOciao2y1r7fjTSh5tWpcMff12nyoN1ewWTxte5GwYEwWybXaYIVuvi3Rhpo1K+wiGacmVCDgKHPsHjD8yCQ5B6W1S3b3qC01l+miwdR0JZMxeZLAFivYa1LKpAUUQ5Kr/V2QZptJ2Cpm33iWQAN9LjYdcUcJgHcRLaa7VoBo9muzyrq9EZG3a1aBOSCJ2GttwSROaFA9y6gvAz4B7zGv9v/HIc442/iF9iFBf/F/h/wdXzCpfZ4rgNeyg5FGJErqhDmGhFCBVJFrUCNwZxlmw+x8bI1gqpzyIvWIstiwlpdugFV5DCgdt4WJjTH3FkJxYLbMrCJnxlzxgK8sGQsh4T5LiDMgu4p4KaFxyaj1kTvNvtIomeJQ2OFcNFx26pSNxBl87czLNbWcuva11Yl6rSoboQGTVuwiBeg/6jzFMfaDlsSQR4Y81HtL59qCy48g+vPn64VQoTxFWO+U3RfgU8yxU6CdHpzpfiBTus+Nq0KNoaHBEYZNIPJk2YXhQkYlDXTVKydeQQdY3fCvVwC0LNtq8lQOwIOSk0PlwgsBXWXUPuowLWJjWldKyvI4WUuNof5oPsj79jONGq9M9NJxU6WA2PhDu8y4/85/RKHYcbv3zzgIV3xs/4jHsIVHWUMtKCAkahgHyZEC3Tdc1QHfHUcqQLc2Zyy1RyKBTlei2sAi67zLfKxBm9eI6u9aBM4C7pPGTxmFay8XxVVUYHdRxV1nB4TStc19pjaQztPC8N7ubIJEpa999s19tK2VjSwZS00WNDWS8oWowrUrEAjLbr+r28VGE8nt4nqE+GkWZqagDAG1BhQ9hE1CtLJ6irN7rOBOrysvsl80FYzVID+k1KF56MBNhHa35rRWnXFs+6tMhCWtwu4LzjejSAAZ+5R54Cy04w2TqvPEi8V6ZJvgkVfq8XpuT5PrD/XedG9kfesTv2lonvKKiZ7NJqjla8tPSP3hDAL+o+52XfXo2jMHgNJveaarxk8LuApI1y1/G5+6CzrjwbAlqT3HE8ATysAeDru8bdfvMFdnPDN8ISBFzzlPQJV/Fn/Pb4MJ4yU8FR2eCkDvuhPGMKCp/MOU5/a2SmBMN8pYNY9ax1t6Yw1wttAyux3KaDreAPO73+ouB6UBcATsPtQcX3DeP7PF1BfsP9vBxx+L7h8Rbh8Y4yTTkAL4f4vA4ZPFSVZ27tESM8w6r1e//I1YblX2+KMg2DgyPwgmF8XxJeA/oMGxsM7ne/xy4r5mwX93YSvH1/w/fMR8utOQcbCCpZUDeTCJHj97/Q8evrzgOXVAn6JSM+MxCrORhm4+3cJ8RIx36t42rIELCEBRTOrYdKgMA+C5aFg98UFeQkoyw5NfV8IZOrjZWYF9yfz/YMgfEj4/vJG7b31gxUT6fPyDBciJPNnnaGkGVVqTM2Hv9RnnR/V59fF6PHIqu2Aqnt9fjcgXhn9B/38859X4M2E6U2P8U1EmID7v9K1ffqlZsjDmRGvhO4ZePzLBVy0Fjf3hPPPgfmXI+LvenzxX6udL11ovZTXshelpb/+v1xBVfC7/9UB538OhH3G8eGKGAr+9vkNhrjgf/rq1/hF/x7/j6d/jv/j3//vcB0Tlk+D6tn8K+C/fPhL/Gz3Cf/6X/49frge8O0PDyqK+asRIVRcTz3kbL2prY5Be0YT8p6Qr2jJj/LfV59cnxhdHwTvAapIvzkuAa15tPOqyQ9iK3JumSBHPZ0CF9eAedvW4iZTYoFzowVuAgBtF+RtbMwzMSplQyvs/dvMlgdHmnGEzbg9Q6PxmFBIXYNkHQhzCmWTtWi/s3vYOme0/b7Pfr69Lq8HeMuWLWhOu1LWoI61bVp3tEmAEtZMVqNMw55F1p95jZ2ic9TuC7AA2jJtQoC3+iAA2rS5rs/p4g8EExfjTTZuzciRCQCYmLMGXjOhTgEvV23UvZSAj2mPv91/iQNPGGuHc+1QwQ0R7bhobS50jtrYO33VHDBKXi+2jkWrAWoZVdG12dbY6kDqXGzWoAVLDt40ZH0zvj4/Xu/sVOlGNcxk2cPt4U6NTtWcgc/QPnfUqmW4tt/7OeOhUVi3P7PxVyEfakaWZKU3eQa3iVFs29Q4LWlz3bXGyd5H69xukoab+5J2Lzf3bODTloLbxs4cdfHMrs+R1d6uqOjGgTLqZWsJEk3xk3RfVDLpewPR2q1ZrR9IlPnhe3LrM8tng13Xz28zz60MIWNVNBwDvrve4ZBm5J6xqwu+Wx4BAJfa41x7TDVhkYBcGVkY2WT7t5O5ZvPXORGsc7OlrP+UGvrNvXsLJHdA7SKaZVWQrhgtrdh+qpHArd2KzV0koAAkBCkC8vTy9p7dZjVaP9o1Gnthc//N1pbP1rI925aev/3cyqyBMbTphlKvjr80p6QBBR5QbZRFHZn3cfJ9t1UPv3nIKvB2FLC1i8/u08fb6+U+/93N/91OWHZXNrbnhk6+CXK9RGXLQBBjSWhXg9V2N0Ci/d8ED2EZNa8bhj7LTWlE1QHhYvXls9a2lRAwxg6lMH4zPOIpadZ2SREDqxLtYrb8pQyowvDbvRkjN5O21htt1Xp26rr38dDA/kZF2l/uMzT+LkyLw87ZaIG715ua8JCuc7IauttMvs6h7z8b57La+SY8F3RPoK72zdk+awsZm7cIbVnkfcqx3m/74+tV0BRbxWrcWpA46/dxXtc65zXA1YznyirbCja2ci/TC7lh5AQb+89fQtrOyu+1gbI+dysQsxX1u/GlsM5zGx8Xr/S13kCe9fNioK8DxKq8zGBUyKYeeOtfNeFJABICmpDqpgZb3AcMq8Aam/9SoWsRE+PXL4946Ef0IWPHquLOJHgIR7wPJ7zUXaPu++/IDJfA1o04O2fDGNnYltVn8Qew84/Wh3JdAbdXeaeABYKAg6xjlYC6r2rPokBM9bK11BQ/z9c16S0gfS62zDL/Tm/D1qj0W99ENPt9WRJyZnAQA/rsc9B7dlYlSP8umREmBeAlEArbfblrZrXjYda2Nq0W4rM1xexGe3NfLCpOOEZg8jpBwJXGaXNvN4y6n/r/Zkt4e588CBrTyy/jvsDm5etZyPw6gvram+cQM201CfJeDV87M1nvm+z6TcxwW15l+xNbW2/P4DahCSBu/RjAfCFpvZ4vS8JSGafS41J7jCUhF0ZZgjGnCN+Nd/jd7hUmExcMJJDC1riiok8ZU+xUHNYYTz8qTfF7NFbZP+X1Rwe5tYvgPrUgVFhr3eb7cCOKs+3l5K0fJACFCdHRNQKWQ8TaIgVNzl0CYblLN4evN0SvhNabr/RoNTYw55pnXVRlJ2bIGaEqJS1Z2wGn6GjT+dVAwheZAOmyokulW9PqKtawHrCAqSTa50sHgFyFmX40aUrZXhdzGJXO4YgKL2pBaxJMrwjsbVZmldROF60LW+6CBt6jehzauoCsNU5ZUSXYfZIe1mDLlJ8WlD5getuhJDWGNZIdhjBakCkMXgqCyfRDADBh+WIPCLTGMWu9igopEZZB0Zkw1YYCSiDEsWL3Tg+8YnU9tTOFyEvC/CFhYsFLAiRVfP9yxDf3f4H7bsSr7qJqkTWgCmOuSv0RqIEDbEqaATMkb68Idv9xzVJ6hgvZC+5SywICgPQdRKI6gm7EjaZXAyHv2WpfLAvpB4R45hPIe0beaW1wOmejw6mMPQUGoOJelCvAhGLZmuJiXcEPdbsnO9C1lhub9WKP26jF2Bgn3GZcizrvYYKJUNwGBU6TiqM051YdDV0PJNTolP49rqzqa4ZBCIsOXRk0S0Fi6zwQilFWeGYds2Vz32awNTtEoJ4ABFtfuhZ5yiAhlLu+BWUtO+nZLAPLyiE2AM4p/y348wDe6n6pCMJYrA/hGnRICJbZ3J44Vjvpa8Yom2SquVRdxVCzW3XRtUKVkH5I+Jv5a2BX8NVXT9ilBf9wfoWOM7pQsAvrCbjUgKdph2tOyDlsDmc/iDdOotO87cDyWm4AK12ZGNugk+YMzrMBZYAkpQuWQdfgsuemmtmEzrwdSg6ttZWDfzWRgjeCFUCoFsQ1NoCDcBsDClg9mWUGBdbaTdk5Si+kpifkzr3XnK0Xwc2Ls7S2EDxLq8/3de41h56Zc3oXVZ23LeC3Dto6tsueNjbSnO+diUpNHmwqvTJetH2L1wFT1dZnmQMoc9trYaq3TkhgFUOruvYlWAQQFBz2XqRuM4qV8cz3twgTZxXY8e9hItBSrEZdnbE1mNZad8oVmAv4oo64lwXwHBCsvZkHhJr5JvQfgTDqGloOATkK/urdDkiCv//6Fb65e8ExTXjdXXDKHd6NR5TKqCBtDWfAQBMuugGXfEzM8QHaeqmRzeknDaI2zr8AyPuIvNefdWc7Q/cG8MaEsETMR1aqpmcvRc/x3Addi52dwy8KjjgFl6e6thWyGrIyONtssw/h9ne1L6qToEFZTaI0YKgf04T/Nh0dfF34nvGAIphIZXrZlImIZsY6Y4650mo2ZkacBP1vagOvQKp+S7ViPrL6HwsQn3UPLkdCOeoXh6eIOgRczEktLwk0E3gy/yVqS5swA2EJSBdu9+x2YAUCTTU4V2XzHfQZ4nkBzRnxEBuovNyFTeC3tmQC0HQ45gdlsMVRg+R0yQjnBdXqy8FkVGjCMgTT2NC90+qEs2gGeccovbbIAVYgOO9VDXv324in332Fd3eC3/6LB9zvtPVk5Iq/7t7iv+5/gV1Y8DadkKjgnDt8mnYakEHHTn1PQk16xpadihhtg1wvvWolOH0HeexQywT8Vt/z9OeMRCrmOD8Cp1/oRgrvE8ic3umBtD51rwGLZDYwRNqfdAXmA2N+0Hlc7jToSy+Ew28dTANaDSUB/SfC8C6g9rC2VNI6KqQTgZ461JjwMe0hSbB8qcaYz0Ep4GxlH512H/FerfFTQHpW+m01n0ui4OVXgATB7nvC8IPaXC8fcFaPdjYh1BgwPiSlMo8KAOUHQThkyA899r/V+V/uBEsvZrM1y41UcYMam7pySyIUazsnGlcQEw7fFRx+fcHlZzt8eIyoPXB60LHYfQfc/brqfpylsaNqJFzfEqZXQN6ppkOtKjClAm2E8kMPELDcV+QjYXrli0PAIyG+EIYPuk5OP0tr5l9UTCy99IijMXEisBx0TMOTsUSsDj/3hB/+J3vkAbj8rCBaB5RXwxWnpcO37x4gmfF/vQ44Dr/AEDP+7M0H/C7d4+mHHjwR/uqHt3ieBuTKKEL48HwAfUggAFOnBqqMATwq7V+owhXgfY9xNjZop5pf/5TXH5/JDXaYOCpn2aqS8CMUtDq9w9CT1RkDnFbkNT2e+dVAUgxVI32bOyZYUSzfYI3K2YweGWVwQ+fcIGEqZ75mXJVCDSApCt0QRNkYlaR1VGvWVZpz3GqrKjR7QWuwXN1vMEO+DTaEaY1DHHkScwaLbhytgQLgNTQWoGivPadAAcEQZE0mE4hMubdWpcERtTZMaw2baF1up7VVpTNRI0fJzU+oaQN+1pWSWUPQOjxZA4R28LKqKgNYe5tuKEjxKi2AqzAUjg2cuMKyb7qGXvZ7VCG87HrkPbfgFgA6LmAfWJ+b9ozmYEYxY0nrgVo9eKtrNoMY4E2tIrsh0z+OIrtD2QQ4LKPqWU7Ipg7Ua3MFwNnm2JkLlgEipxOTZRWi1bA4arVFCv3/DY111E2fv6Gn9p2fZ0N1D6xBELf64PVQEDZp+0XWdQKsNDxDaj2A8+fcZhbg2TDe7AdYMAs04EcznNQCwptntD8tYxO5tRbzjG6NDEmsdf1GQXOadnvuQK3FyOeKlU0QxbMsRABuKf8ANFPs47zNiG50AwRs8++/W8eDsh6A3rc5XnRQysx4vhuw9IzT1INIsE8Ljt0EJkHHGVW0n/HsrZ0+u7XtmHnIeJPZ9OfdZk63r1KBWsymVbh6tWdDlC4HOD1ef67PVjoCVesJ6vWsrIwFR8E906kOuq0lz5T/6BloBRvha48abdQT2S2h/VkA2uzrJnbeApLxiiZ8c1PrTfbdbPdJsmbgfX9sgCNvESMkTXyl7aey2vswrXu4Vqx9JvN6LXfcWcw8LAA3QMLWpFNx/Z5LBTi0Vm1NECw6i8oDLbR5AJypQW2eamSEpWhrKKvJvnl5PSOUMqo2ESDvW4/1/IVwG7MwKbDhpQ2eVZQIPB/2CCyYBu3RfVp6/HA+ogpw189IoRg4ss5vO2c387wN7la7Z+PVaPGbNdZ8FQNxZwO7DRjI2ILmln2NaAAIoMB0jWR1rdLAkK09bEKMll33APfm/v39VRAWZWqFyc4oIkiozcYDblPXtd58HQ/4/f8GcoZR96P7VOyU0taHfLXbVKr2hmVCfQiolmgIU1WxK/E2NDrGy3EdF14smTAr24s2iql6b2IZVR3D7bpfQWE0DQ/tKy+oZQOGLcVKe+z8YWrXbONp4+stcDRg17VHVZe1XBWwoSYYSY1dVZODelYTWghh1PZFmuW3pE1n69ETHJbljBeld04j4fz1gFoJXSyIQdvbnJYej/0VD9Y6YK5B2zrVbVoZK8vE1553DdnYH/UzfUNriVhxewEN0uJF7UjpBOXNAsyM7l1oWgQqaCbgaO3v/GzDui6pALRDyyzqvhB0z4R4VspwHizQMx84TEA8C5Y7wnI08KHTe41nRry4vdIguL4p4FRRx9DssNt+gdmugmYztYuJlSgwUO4K0FXU9532fLZs7rbWlc235qy9iWXh1QYTwFwhM6H/oBT8+V6f0/8gVlCqqhVg01XsHBYyn88YdxLsmAUUJPl0RnyluhvVyrXAAH1La2uc0QCmQQHj69uA0tt32zNorT5MO4JQOkHdCYQE2OmN8JW1PZjV6GtbIl3/Wptr68LbaPqajitIqKVsZjs6YHwNlL1AdgUcKmIoSEHL6+o1AgvhTAOmMeH1wxnf7J/xPu31vK+E6Zrwjg9NZyHPtgYJKCY2CyvhEaKWuVaxN1q1h7DGZf+U138SurLLtFerxXSKF0SRmGpITO11YrT/HNoD5J0gHLhlvfQp0FAELoIKaiqynsovQ2jZLEUtBU5XaSrJSeteqQDxRO26ihKhyZ43yg9IfTwPbguQTPnSDwYPWsOkPcyAFS33QEAaNZisWN+uGaH0CVkXHnitbanmgFPVml+xz1PeOERYx2jbnsSDtTAV/V2kRh+XpKIjTQmT9XeKihCyBAgPKANjPqz1x2JReaO9EUCJICGCl2CZ9gpFjBc1irYePg9uhaCHB1M7pGDZBLEsRGvvc7K5G8w529vPx4BL7LEsAaex15otey0loBRGOUel2BQ1As1BrUAs1NaeXlsAMEJH6PsItrYnn79IRCNvazshUTMmpVdK23JQFdjaqUHwYIYqUKx9UZgMVCE0QKBRkIwaQkE0uw6g1ZQJtYOM8opSA2uwyvasEDRRCHd6tn9alllU7dbb/bR7qYQ4r8EaSB24MJoxNEepDAxjfGrQYAHoj14eONi/w2zIdK/fpU78LeDCTpO2ftJsNS6aZbODrUqrsfIyBhK0lmWfx0xuJ26AF2NbaAsMEyXL1pswWauzkMBLtHYU1hrEVWpt7Yk70J5lZ0K13qK6PrSWy+vmXJyOqh7EpVNnsF4Icz5i3LRKoFTBqYK5ou+zHg5Z1/n83CM8B73nGfBedxIBWlbEttExm3O0iYyZmnMGADIkCLTgrvZR1WU71rVt9UTeAzbvV6eDqmZplkJIL9rPzoEaP6REsJadiGjdoqCNmQZwer+5X4M0ByScWteEKdiWlukz1A5Y2FXm5WYPbunGOmdoDpmDG9s1y7m2s6K9aN1vGizq+DbaKrnTqddnEaQzNbDTr+HzxNaqZUtDFIZSPOval/VHNFu/jy0wuhQQE8rO1WA3j2MlQ95Cz4U7vE0eZz2veFHRsODK4lkB0dp5m76qQKiDH4DW6EZuwo/ruloBY6qaUC2LrYMIkPWsX3434N2HHj/sCtJ+aXsKAC6jAj3jqQfN3ALyLSXSaYB+1regabvOqxmWjV3Ph2TBpDt5ZLbMM1Wm6G2tB/VNepl8BIqzqaxd4HTH6xoTwEWuHCB0Bs72PaWz/QQ9P9yxZLPxvm/DyC3gKd1mGQhaEBmvrmi/IjoNiDG7384BDyRF66VBltV/1nryvA83TuR8ZOCOUYMy38gyTsAK1EDMER2ApY8Q1taKZOMURrJaXKz0TAHipM69MpZs3Y/lpm6Wl6raJ0VQ9gnYJT1/XOSMt+sZTem5Ab5yu0aEgXwIEN7BAS0Aun4tYREvpZUWUQHiOasQ1SFYvajul5Yxtwlhc9JdMCn9usfU9bjcZ9CutOAopoy/v3sFJhWqKpVRFtZlU9VGNNDXBZP6jQ2oQLRaD+2hy80O8CbIDRetx+yeLRHSp3YOSADmgwZQNQL42EOCAF2FdBXnP2HM90F7vY6C5UiYX2lGkxYVpNRxM3uXBVjQ6na3ACwV0g5yRplPL8qMnB4J86O+Mf3G2o520M4k8+q7se2hGmFZdx33fDB1ZgL67wPCVWtT53sy4Ssxf0XvIz0T0kWB5fKuQ5wJu+90LksXsJQBsUAzoqTvk4mQd5bNLUrx1fPDHtBUxOMpaLudJJjeaBay/0igCXj6VcLpm6+aCjoZyOl2rCTCfGDkfWy+UA3A9EqQ7yvSJ8bh15oBvn6p7ZR8jMOV0L+PcHVzYNUfEgbG19bK7lHBiv23hHS2bLH5+Z6ABK3gexlMo2iqiJOOBVVCjRHzzPjw1OPjh6MCBSftgUynHiLAd/c93j8cQSQIX1/NHjGul07P+KooTv5CMx0cBHmJauet/7yMqjOSno09cpUGUFMB4rJZYH/g9ccHuQJTNa1gIpTIa+amwlRtgbxfZdb5YJNsIk9lIHNsSSnBxQ9IE25YKlR+m26cVU/p86I0lObBkgWDrooGHZRwvT0ka6eI7RYZJZFWg6AT46I70g4nXgiBrcnzqJtoPq6Gjct6QLSAH9bux2gMKiwAFFO+c+PvHHRFYNVAK83YMpx+IJjBa4GzfRdnaf0na6eUHo4EqasAjApxWPzhtSVGES89q8LapvdoZdI6XENYtP5OHdQ4asuBMFalElkdCaw+W+XtrZdiYKVFRe3r6yIQVJQqFgZCraTOXdXxWqrOcyuGnwn1EjFNAXPolJYRNa1TzhHIBFpYDXFxgGBF8OJVUfLSG7KV7KCIpn7pDiUTtmxU1Kp1a4xGfa2JmxBE3pnDMiho41RHKlo7wAaQRBO9csVOr1MPi5hxWSmYTTVRvP+jOSeWIf48Cxmmdc362mgUGjjQ4oGzOen19v3OWNBey7beDTjRbE9Eq9eOaHtPqV23gWQLpjc3yl5Dbs4HGKieTdrSnA2pdUdZFS/teYLubVdBbZlaE+1pX/cT2Rvf/+oUmUN71OwkW7DoKpZcaM1kT9V+JuDJnWcrWbBssQJBmtUqPZs2wVrX7kGWO9YQFbYoHZCtkXs6qzOZjyq+oSi+IEfBsqumRmgO5jkgntaM2Q36vREUcwe51aGL1psT6EdjJF2AsFL7VAXWmARWg1t63YvznWB5VcHWnosKUO7Wtdid0ebUQTXNdJrgkdAqmPKZQ6Rq+WsWV+loG0e9rVdp407u3HaeGVWQgm3c1Sla17RTi2tUYRpnnjQAxWicTS3enf5tvGkIfrW+piuIo3ZSBKCL2hstabDPO6XaA1sHXmwdCxvldS7t+fylMYztF4JSwb1n9KbHextLD5w3mfcGFlT9Li4EEBtVTvc3LxU8qtBe7ZXij0m7KEgGyIrWxRzsts6h55CQzW9R2qCQNOXMalk1CUC8agCX9wH5GNWR3BeABYvbiIlVVOpHgAPM/zBfwzMQ2W0P8DnTwl95F5Cg5TN+781RhwrBLA/r+8lARBEF7EGaEQmj/ns5mFZGcfErnYcwCbqX1QdwIJpdqC4pTTBry3d0T+r8txpYQivvAbCCzzZvYr4OWbbO53vrd9yIFfrxZmJY2UDk3QdBei7I+4D5jm/WuYr1EOJVNMg1EEkdYg9m/XvN9gX7uftLkwYl6cVo0gZC8SRIp4yyC9ZFw0qaloIyKMjGSwWb6GgZtN1YMT+isfcCWo/R0lFTYHen3amXSKT+HUyxuWCt8TXxtjBqKVYpAolWAnZdwGNGmHpwZgXRrrCg2MdZg2S3V5SB/e/1Hq9fRSx3mqlCBebY49unAWAFtkGi7WiCNCZWC3QNFC1ptRlUgGo2XqzkbG1TtTouYdJnHz4V1BSa4rtEO1fui9KUTwnxmbVMrlNwdf6iYHlNCC+MdCLkvb4fANKn0ErCvHTPRSn7p4owV8x3AcuOWlDdRKmy3lO6apC73BeEC+P4Wx3X0y+A5VC1D3GlpnovLMhHQq1oQIsEQng9oVZC/x932H9fNXC+twDOzo1yKJpMukag6r7tPzLCBOzeVYRZkA+apEMFlv8fb/+yK1uSZAliS1R1bzM759yXvyIyMiMrsxLVIEh2s9Ag2SBAgH/Cj6hZDWtUn8ARpxxx3GMWAQIEwSI5IFHd7Mpk5SMiw8Nf956Hme2HqnCwRETVjntEBxCJNuD6vX6Ome29VUXluWTJG0uuX1wBCJx3shmW0fvQveqdL2zNWN8J1p/zMLbnCWkDzn+i2B8UaeEIn7HwopagWd8KLj/jd6XF9MrbBjzsyL854P1f77h8nvH8lw3pYWP1dBfMPxTOMZ6YnIsin+mq7R1bHuRnC+qWsL0ceE6PlKk2MzgW5QQZT6rUg9zMbS8XWDEkBQoAKD0v2QhDz1dgeyrYnjK2dzv++V99jSlV/PVvvkR9mcxvEuix4s3ndBTOL0e0LUFWTvQYZWZ66X6mo2bKIti3Hxejfur1x7Mrb5WthJkOUT3ZKAFzIMfeVjq1pIpmJgqAQUjccXVIMLOPHf6sZcDXB/zTDr6yItcyLCiWyNhFBrsBMnfHD+hObtqYWfIgdqwqAd1JdDKaCJIHJywgSh7g27+dFdSrwklwY/DYPI+onEnrRi16BS3w9fE7aISBeHYyru8VYq+KNGVxxAKywK4lU+juwFuQctvPx7cHnXiV6BuLvR/XowjasWDsY0VDwEad7CfVDgsMJ00BJ2Lh9xkk1dbMA/yYI7tJ7IkKUCf2i+XzgBCozEJlP5jZ3u+w9kEupor+bE7KUyt6tMl74mishFY4O5FJAfYS19nhHuYsw50UZcZZGFhXz04OWXaYaIWDvWq/Juj8jkGMr/n4CrienQu4058B2cCgxxI/UeV1mR1lHoj7TZWfaRkDrMsvyGw2A5J+D/wHIqj2BErIs1+z9oyh2D46fI0OkXYCFavkEVSgIXdxzyOZwrgu3i8uVgnfAUwONe/OfwQZVtV12Q+f+FUQFnsSBBJjFOL6woKvqsgWLEXwkelgOuzMWahVuqMqKsbY6fsoqEtCEB2BWfp8fbWue//Om3t+df8igtf9uICtpfMr+NzDwgDXIXptAtSGxnfm8N99LVZZBVpycCc410LIInw/ug4KWB6UhtGQMmn3ijUf3NtYwsF/df3YlwQmXKTLTiRSrdfH0StSAPYR9mpRP18mzwZjjgpu6wGWJkMf5dsq4Y8CZfRKOINq3uzIOgsn1WkY9J7JtI+Eav5dDXkxdM7B7PCMYPQPngmzZ6xMDAsm6Nd2uVYLogMWKUSzpB4MuXzLSKw4nN+ONHLdp5Zopn2kHFsPqiV8/NzlVYjI2Ya18pEkQ2+qiiA1JhXyRoe/V3PbLUJHMaBnPEHlPBS2FHvXEayiulPL39dZkCy54agJ1+vBRzAk5rzSyES4rVdVjhpy+R9gg1y3IYhyp9rm4HpFNMaUwHwK6zXPVukgTLm3pUgDNutFTpV6VhMTDW3u5yOIDofEAQPBAYaNwT+x52dAIlGJi/FzzZ7PZQHo/p1030mzoGnimKCJgc6AEeB2mjzHdrrOzmLInC57mmEJFoWcYQkRynjeFGVtAXnlFI0OYc5Xnq92JOu4+6Ca+f6o6PrxMXskaz9LAAs6xeH/ruevpdsL8cSG2vxiCYKwG38BXb9Pz8pCy3mHbDtUMySlGx9seua9Lu+IxgnisAokCGQTBtfJyIsydYk6yVHt18uroL0QCnL4vvtWnjD3iuDl864sQxeryZhVVNssWDf6DuWRFbv1HRenWjJ3v1dcYcUe8w/d1rSZKEwVoP32yHvO/Nl+RxlIG3D3K9qty1cZ7cgRV+uH7mu2zJ5kqZzGogKUhf2+LKTZNR0pJ4Du7q/Y2bfZ7ERgUG+U76bQIfSPAZ3VSJUQRSzXMduDFewMWrzfOWJUoSvt8Po2RTJMmzCAsn1b33cd4jIGZfV/v2cvcVsysMlgK6g3CGnms0zP1GVtsPfsQRcsn/UCThQG3e6aH9eTcKabXjL+9uvPkVJD3RNQFPKUMT1T1z61B37JliCVHBXUHz2p7Vw3AJE3TLgD7Q/EK//BQe6yLFiWPlLl8fGRa3ndgOkEPWTUU8H6hjPg9qME2VSbdMjyKfCOKeeqJgiWsc2rZXqaRlWoHmjV64GZdygwXew9E8kcyJrM3c0roLZJJIbQ6FV0Bl/PCtejoh4V5Tnh9A2z/fWA26DcNtB/wKDShLneNrZHT191UofGisF9ArJViNwgmKKZP/XgllUsH86MIBCqJ0TQ3gqrkafvWzhY/rnkTM8Os7HKtBuSVgRpzlHBA4C8VKS1YT9lDv8eYE3VMmExrmFz5egOC9fVnfd6x7E9aa2RRc/XijZn1JMZ1bVHDJyLSSn0XrSxF9SDu7wwWaDJyGZyDxS5Jrb3Nug7KoIrDQEEkdkjc6VT8ZvDsQLlwrl4rW6o2wrsK/ZhhBAHyhtM+ZCNaIoZ/zoTvlmPaokPPl/zwD0pWjXnxIzVjTPUAJjBzpuiqCcGBJEtD0bJIdAE4CzeEZi5E5zAPphDQzkn4EWQTPFA6QyOVdwxqbMfKQDTRZG1Wd9MHs5CDz5aEWwOSQ+oHr9LM7AP7I5OwBSV6x2hTEURBDx51U5OZsEiJkAyFXJAqY1oJi+VlfYpB8LAA9+o5uyAQFllSB58gFlwjyEKoAcEOYU/TDiwr4JdTQx04zX0/rmDyNmLjSOmpkyj7MGLaof6OUTVKoH7k5HVHEwHerCAcT37/t3AENure7WALoyT9Zs2bEADdu2lItkqdIatpVh/vkG/ZlYjqzkLKEqm0tTlYtx/v7YmOtWaOkRqevHqioahbMccZHce4AgLONwbOy8A9dJ2ouMvhpv3qjdEMBIvEiqqUcX0IMYDJMLUNYbM67DWbKMY1lr6550Ftwdw2qvFSJCilgjjtcpF41zcwPMNtUCZcp0mMfczzrs54WpJyrw2ZBsr5O0M6VoxNcUyTTGOhmRYCLhyr+YhUAs3a1UEqkNyyojXemIysermW2ztAZyJKUhwHgnTBxZQBCqqaVQCr+8z9hMDI8ASKgcJWw14kKQBFRc7N67/fT29jWk6NxJqXTfUbUHTCjTF/mrueXKUWGHysk5CZzNIKNnv5tfwfkIxpxZGhpNXID267TdZqD0B4n2+2z3/HtuO0hBIazE4snoVSsOJBsyPytSTeeH3FEO+Odw+bwpZuF6TtQzsd5wpO700lHPF+r7g+RcZUjWqWPWQsLzvusX3Mxz85rYelgTr6+jPCbMv80er4C7oLQJuD45Dkhc+BzaFnYOCsOEi2E9MJk8AOSyggQyqs2C7Q5DN9TPj5Iba/YCde5B27582PTRRDx1+aLxuzkBBVInLueHw/QKIYH0/9TnQgtDNaOD9+dnw87z78/Jn8xOgL90nTgbr7S0UgutnhO7Sb+k9iI4K45jI3rpz+FQJJf14Rbuc6XvU+Uafn35o2L8Alg8p/GGprKzrDuRLQk2Azg3y2YK2J2DJ1G3mJ6fN2pouQFqIPnr4h4b5qeL6IUfLn+v3y89YVTx+Izj80PcfCVjfNuikHKNWFOW7CaffsKp4/uUOzA1ILM7gbkf7mWJ9mdCmKeY2SyO6YHsg8urdfyPm4wGXr4Q+/8wA96t//4J2yPjmXx5Z4f1Qsf2sQl4y5h84evT8C9P5hbZsegbe/acd2ynh8S8S2gExShE6oDEt+C82mst7ldMGvP0bysN+7wUQ9rJCFPUdoJeM438smJ45z/byhcHbXyi/168a9NAgW0I6Z7SiePl5CkSj7gn5WJFyxaaCc8lIm6A8Sz+PYsHyFyt0S5AX9sCGrrgqpm2Q2aqYnzg67/kXGctnhpwVrvXlL1dMpw3bb0+YPzExICbnNfO8bQ/U62llEr68COS3JyLm/mxHfrMhfT3h/h+ANpGI1ZMjEGB+pF+wHwXbGztD1qqI37JtYHvDZFP9qfa4n3j9wUHuv/23/xb/5t/8mx//wipfN6y9/vere4iKiZPVVC5UkARhcC6EBtdnkXn/nGPVE26dff93BBGRtRQELbwp4la0V2EGSvQbB20IRPz7W2Y1aeyvGiGhoyPaQNgJq6g9iLt576vvGXsSx+f6EVwNt7/v60vihICiWuVCdu3kHWI/G7116c8Hgb3fDssQ6I8Bujta5jV36FgQuNhVBFF962vVe0yDFfMVnMqfwSnrfYg52Xy70+lGDEBAgh1i6AbNDbWPbvEMuAfF7pAAwF8//3v89dP/DT/5GuUo9rBvwO9MLKn90mUoYMgIQ9z3kcYYQDiZ4QT5+r0+3KM8+V45Pf5w+dv7RhRqbuakjiRNdi1RNfiX3NzDrcyD5FnD3nUSmtGYY3gPAnkB6dWPqFhr/64xIxxIDpN3PotEdfQnIYoW3P3Uvo3neMz+u5MXBHjxfvdmbqtgwXw9OIBMAKWofPA6vk4aRvtmLJN65UQRTHXj0g26LvSm/6z+hI6wa8R4nKr4m8v/C399/X/gJ19BECav5M7WxWXWrtOyImlP4EB64itQBV4l9b7QLMb+rj0jPAZh/jzaVXDYlEHm/Br8rN7uYXzHcG5fvbyF0QlQ+s9u77/DR6XDSAUG+xxkMvFCN3pstCPjtVvXS6O8/+g12KAf/crlwxOGABzJEt8nvua40RMN5nDDHDcXHB9LYuRWcQ8CzkB/vZZOJhayKIRd3vQ5dwSPy6InMccKI2VU+nrAE7jcXzUfgL38GgzAMDsTlS/lOvzN87/HX7/8339i7TX+hL55JTeRMHTSF2dI76r1x/Y8+eMKMOhAPy83shDrYXbu9dkdfCJxf6n14DmqrcqeSrFCQgSRfi+vzs14doMNu6CPm7Hn8j4953iIZ3S7NZxDX2+uE25QbXEPw/N3/dL5S5xkVAVASYM8/Gj7frRGfkYdnRe6JCn3IpJHThzW5aTPNYfJ+7gO3ReF9Gf2P+L7MyI5qukFJVJOG+jz2vsACwIW7a1tYgima+83xWAPxElPLSk3zooWVfzH3+O3MFkJq67JjY7xNXKEkCRjEQYigatFe3LC7rcVoB6Sta9I7K0nAEP32M/zRrRa2plgVRMITWrEmgAmwqT1koE9oR0q5FT7cw7rsU+sKhbt7Ybh6zU/e0A7ZNRDhqMiRpnxdRfmglAzoBMTL/uRrOr7AwP2ICr9KT3+O3S2+DX8YhsvqCpI1xTcI17YkWpJqyZkowevm3aSn7lMcy54QpsaRKgcHJXo+jHua/wT8sBAWpoAq97cfysShFqOvNjeMMkNsHoa318RUzP83lDsUj/ScYBsgrpkZENrALZnoy3RQae43nH91wY7a+itP+T1Bwe5//pf/2v8q3/1r+L/Hx8f8ctf/hIQISyoKvKckbZsCq0LBQMVHp60A/IdqazLk8TQZFdk6xsJgRW1BvJjikqp9/u4oicFPjr8zDPiF7uu9F5BnahA6wmAsMI1f+J3XT9nhmN61BgjFAbQFn4/STj6HljtJ+6QG9velygMGlPv4SkvVpVM7ihKwCN9Q8tZMb+QyfD6udw4fiNMa7szFlNjQNMkhC9sinxmCbidCpCA/LIhXTfoXFBPVj03SEudjFzmmEL5Hz5x4641WY8psD+w91ZfBE2ZfdoVxuCmmFRRzluQTgFAmwswJ8jWMC0VOiVcP5+NWZHVyTpxf0enJq+KvCvZY8E+hvkTq8PLuxzsuKPjEPBwO2GRMLDgWl8AvbKaUi566zC68QXwV+//l/jL+38J3TbsbcG/++H/YOtVrW+vdUdFzZhly3ju3THwZ2GFUgIa0gbCJVGFHjygQGT59xMNfLZMOAPjHlQC/dk1jHD/jnYwI1UF+SKvYL8wJWbQ6L3Lsq9dVOVg3ycSAU/I96Dw/dq7VYwImfUIA9aLLOEojeue105icvNdR6sKeA+YVVPz2roeSGIsyzpAizWuy4RRNVnMAbe+CdyECH7vSZHGM0v0hGBbAU0Jkzb2PAtsPpsAuwJePRd3pAaYKYDtIUf231+jbBK2p3DSJV+DtKu1bzi6peu2OkuvIFlFLILK0eGGO8dqpC8NaW2QdcM/P/1L/MX8P4aqYq8L/s/n/yM/kKzH0vpxHV7slel6UNQ7egViECOvOpUXMSZGslKS1EtCN4+GdnsgcaBU5zzo7xmhwQGFNLmoM1BPOpx9gyfOGkksFZheFeA6wNvNWOYhiahiVeYHN9pmPzzQ94B8Qtc7ZjXLWc0J6cHu+ibFffv5mp6tZ/1gm2KOqex8dq9CQcnzEONTRjgyQISOr6WzeM8J2jpE0RN8Us2OHIV9WrmjqmIufOP+yO66RoDLq5FFxrgLAPV+wn7KZodal2U7y04WRAIh0wOqkaxM1VoxhqAh7coRHltHMXTd2Z1Sh5j6Gvqonu0uYUuCsgLTpcW6awaQBX/15n+Ov/zwv4AeWOH6d3/zv+Pnl4bUrAp+wo09AbjHbSYUsD1UyDXh+Bu2w4xtINnQTRHMHrrcBsrC7t9HEMY5BUIfzo/2nY7wMQghHVLe1OF7wfQixnHS9b0MyqW397DFQLTD8PdDhjQicsqZ30kuCSPZMlSNQ0r9NZnf0nWLcHzHqGc8sTK+BH2ihb2nOIFhAapV/kVpl6fHFZoE6/sZbRJMLxXzD7slzo2XohF14ayxYYOs4lMPwH7fWHWXVzcDENapwPF7xfH7Rvs6EE7Rl+zPup+yrSuhkvvB0SYwKDWC82M6N+trdx9QCQMVxHkaEWTzCyvITuo3f1JMzwhfl/aOutvHcfo0jeT6UoB2LPjnP/tf4y+/+K+AbcfeVvyffv2/BwBsR8H2wL7M8iQ4fA9DFVBH1jcV6WGD7gntWiBTw+HdFaqC9fsjUktYP6+Q0w69FEzfs2L4NCdAge2tYn+oSNcU1efp0f42213OZPLVAiwr7QkhxRmaFOefN+isyHdU3vM/TDh+o1g+ZKwfFPPCXvU+zg1Y/wKov1hQHyeUa6aP+JH6dnlPRMZ+B/z2vzyiFRI4tdkS6t9PIatSefagwPbnivbFivNxwvouoZ4Uh18+Y0qK9f/7lijCBCDRv9IEkv0dEWgfl8Xtgfvu0PlyAfJakK+C6ZH76lXT/Y5nYH5UfPjvrqiHjHyZUE/98BDRxf2enghf3qtgnxuwM1nkwavuRhi12pihZ47pQaJveP1ZBZrg9HXC0UlxD4BKwvUDryGN8cr1S+D65yt12HMGfigoVxJQcQynxvOODM2A6dBkNgfA9CkBHxnLXb7iXpQXnh0/y3Um6VdeeEahCGSNk/xqNh244w96/cFB7uFwwOFw+PEvRBDjJnSAyvnLsix8L4Dq5C6ktx4zUgBCMdOQdyhoEOuIwZPNib2pXAyOtxMKBKQsWdE2gTA7y1wF1GUGtAElya1xNUXiEBV3DsZsZFQWLIhwiJsHqM6ImBeQbjuql4jekYS+DnlVqyJJGImeBdeoZotYn4lSyN3ieC9wkFhtDbLscHKC2/3DTZWPYww0HO3mQ7kTmOETq2Zni1kqoK4w9s7IeVMps9/587BqTmPjWUZgyBiPa68eJNEhIXQzhfMZjNzDY40ZZJ5uBpXaLKhaRoNGR89fKU9ImqCjdQasusE/Lp9jZcId7ugDVVt/k9GAWaZBplIf6+EECV4JCkZBd/zjWX7HK5wmDefc+5NvxrmO1zcYZziVg9yM1QwfkeSoBD8DEU+2LueaKWajw5NA+RxhND3bj4BiOzzbq/uIPref+Hvow/VeZpcb/7l4f/XvqKTdrF2ifPgyOiSJlcseuN7AxRMQxFdDgDuep1YE+8H7bzX0Yd8uZvyl4eYVrQZDQJwXe5MkErStjSRYCVH9csSIJ9qcjI7ohUYm9NaQIEgyQ+uO0QzE8w1/9NXf0S9piJwxOPCg1ANxZ7Uc99v7p4L4xZKaIx9Dv6H+v1FFybfbSb0EpCb9vfa+H+2zYhDcvlZ1EiQZgtzBoe9wVfREkekuqazUwO47ql+boY3cYfV7Fyua6LAesO8EwobeyoJBdRtYaRkWiFVTv+H+TDH2Y9SpZqPGJE+bNCq5UR03h39E3LDaILFnyWbUxT7Y2vbqntlpsx+RpK48L50skT/Lm8+K7RW90Y9QoYyr9TU6Md4ID85XC4YG25MkI5UZejgOZaZuR+W1PfTr+TplBUoDJHUY6piAcV/Aq6a560foLTTXq3D0FUzXoetAtWD5xrcZ2l+kCp/74D6QsHqjfT9H6HKdaZOiD9vPQ+v2KNqgLMCtcz+zXiELHotBNzgqIJ7P9Rv6+wJZFmt+q+s1dKb9fm9ATj14r0Z4KH29eF9uv/0HbqdMF2RAi/bg3889+n0DCKbWsLk23pD23fyzKd34l37+Y59dVhrXnUzRiH7hPCCY+L0pkDqetPRA31v1Yu20Ey8CliwM1MPo8AhSmQHJkN0wvX7L5odyigSTSW1cl6woU8VWBahMZudMBbQm2hZMDYe7DQsALRlNNAKP/aFB7ytqVqSNZFT5BYaqG2TSihY+eioVq+IfgHZqwNSQc0OtJIM6PGq0x2SrooYvZYWL6bBjnTPqlKOqmBfFZoRnWoD1pD3xn9VG66A/PxCFIgBIRVGPla7HqeLd/QVJFF9Pb/rZbFTi3jPbstmeQZ/fcB8IYjpKOQOHjySei4kwbuN3WH91w+GpYPdYwXxdvTP7YTOE5WBtIHU4B3kIt5rFP85h43FPojC3yc6as++nbuPK2RJbCZjvV473+Visj9hsUbVYJUvstyZzDxzxlVllhvZij7cTYEjuR+HC2lx9ukYkPUf7Yj7ZP3lP7u985YR2nAHrVQy4jykwL8c7fhvoZ7Bl3Horg4H0lxtN8SDMeihDsSqM/dSyyM7KKV3Zk3bcHMGmHE6uxIx7kOvX3x+AehJjMjbFvA232Ibni+e0Kq9XdYBQ1P4ZYGigHpRytUouoSo8OMtbEoZ4342/prMyA2uOPYDOcrsDSRT7XQbkBNkbynlHWhp0SqjvTiDRVLtxAvK1Ii0VqZYIVjyo2e/Yc6qFa56W3tPiWzSdFfNTpfKcMwmK3Mhl739MnPtlfcEtG3wmZghyL92h34+sXHqPW6okxQjoiweppkTrQJYBYWU5LYTBOOY/7QrZgOmlcg6gjXfhGnAeX3pZoC9nQBIkJ0iauhxOpTuQxrYLGOunatDBizmcqRpTnRklQoW4jqzqoENiB2e8AZCJNp3OtFU5nNwiDK0A2bK8ljiC8t9t1sgwO9unv7wH2Hs3NVmFSYdAPN86KiPMdKyiB0zL78nZH/fhnNi+OMQ8oJ6KIFkKmJzvIQCfb7jdU4nPLz5f2eDqA9LidZWQZ84crpyA3H+WlobpLEgT5VKqGou5xPeMsDPAzwTXPNkM3huYsKphsSQMx3Znsj6NcECiL6Yz5bHOVNThtAzPkmwU0k1SzUlMts4y6MnAbJW1dNMW0c/52Jt/M/80D4rK3pf8+ZT7sN9xlIQmYPokKM/ZSCmsym5kFt6zDxkcQQ/uRkKvxApoOdtzZeYs8sKRIm2cvWxylK/9eTrMEUwszoBOCqyCcumwOjTTuYb8cVQEZhnW2M7lzsTi9UMaDiLlrx67wz/KKStHvW9tDCQ0KdSISIIgR/tZYcXTrLYM2e+UIsGRFwGSTSywM4Gqt20GVuXypI+WFDDJvDZoTigXOjs+msbJqPzZe6Bt8jolfu/WGFAXawWoivJSAU/mZNOvWbBZNXAMenxM2nRu1NnO1JnPDOtmAAEAAElEQVRtEcHf+bPxcz24vZkrbsF/ufSKtSZBuXK8BdlW/Xe2T56AAoC9ArWn/qOdwhKmXE8PPCS+p7wkyCOzsPu9VaRttJnrvBu439xtu+v86QWAMjBt8CS+ObfO22CXdeIpVsCY52sfABTF+kFjJGObbM22ntgJR3np53Bsh4mgMvfEu/tn2z0REvGyJK00G/84DfeJrqeKsYfvJ/pNIedup80WRAK7Ly8iaW8tRvubGT7toWXBfspQmYFBDtI27j/Xy+3H4TvqhstXwG7zxUTpt7gvlRdnAHbG/M4KrpqgIRdMfu82BUHsqF4/S1jfWbC19SqUJva+13nQpdWmftwkUxqcl8IRbMngzT7Bo9n0DE39PXnVqBSXs6GTJo53m7cKeblAjzPa52/R2gr8yu+BunPKCW0Gnn8J4wcA5Arq7aTs8XxJkMeM/R8nrve7hnZfIdeM9fEeSMD+wGv7PHsAwDVxokUCWnZdY3NmfZxio19OhJRi/bwBD+YANEGaKib78/LnFct7ktC1Y8M6Kdb/0YZWBeXXB5QnOhDbNyeO3jso9mR9rZvg8nPF+jmry/NHQ8VdAEBw/yvB6duG81cJz/+Mo3j2C0nSDt8K2qcT8sSeXl0Ev9k+B5JCJsX5Txrmjwlv/pNgfSc4/4sFkhT5Hw48c2Z3XDbCrzWEnjNCd3ve/SwAuHwp+Pq/ehO2iXtMfb29AZYPDWkVHL8zv1IT9qWPgWwzsL2rkCaoTzkg1gG1tmkQ0zPjnjYRwUp/VK2qbYRijYHk/BHY/98PSJnw8DaB44Su/Pz5K05WmAZkCKvXBqFGmLiIlQjVl7ChaPw+qT35Gf6kuk4VLG8zWjlgPw2F0D/g9ccHuSLQQ0Y7MIiBBRpe2UwbyGrauMiEDftnuyMEICBVsExRZMSNbbEJBgOPULjJYF9OsuFGIkZNWMaFfS+kqHbCoagEJwbd+9HuewEHhleggEFDzHAdHTirOu0ndJImd9zMsfegXAt7CUZYXjtQe4pVGf0Z+Fx6YxR8Xhlnymmv9AoXUxSoCWglIW+C6XFFWnbU+xn1WJDWSqISaGDiZWVlx5W4FsH6kEPR1pMprU0ikz3i6POimB53W+cU6xH7KzZ+xCn/7X73ozmPtWfSAoJb+P3lIj8auUNYW0NabCxRSdCUGQBkQKFGN16xH3MEYw5zydeGfN7QDoXQO1UbWdAg1xVtWSHzBMwTokQNkGxjrJLsipScXl0CqsysrNqgbj7fyGhIko8+n4zBrmXcan/+BnSlUPv9u9L0ngR3IPzfgMm9JXVir1IPGsYeOCYJhnMAr1x2B4nOhMOV/fpdvm8qRe4E2T3oeM7NyWIgbP2hWW6y6xHotS4nqSra1UaSWIKHgUCLau1YwRHjCKA8p/heNEXemp1rjuiBSoxe8lcEua4/wjkUqDkjDBq7A+SX8Cz+fkyR7fZAfr8DUpWhxYJrkTZFGdAIfv/h9Nt73QCkcY4xEPBWnsFbaLQaQ73vK3OIQ/ArgsFNRoyhMLKhtCVACiCEOU4vsFnnHWbl5FkRML1yrgEGxA5n0kmRz4gZ1m4rYnRP7frFvy9tgmR6l4ki8h5wzRVaGgQpdK3Lc7OKAZOFFlBOCAfeg1+pfO/2IGF3REkcsj0w4CyXvkcqtGN6wE31LBx588rrLNaiQEMe59cSVeI9iEMyCKDui753643NwUxvfcA+99zPvQd3hckbr6DQAVO0HfDxc9WTKduQDPZzbXJiZoVynihnuTJ5yD43EkzWmetWTxZIGCTVWf/zIih7C0d+fOWlxdivm8R8PDsMYWGoBEMZVdPteVFC8D1oFDr//XssYN8rZGTLb2D/mHg5ztajdrnVzJaq+ZHVh+UDldNsEPUawSaPiO+fk1QRpijQqzuNTO6h3SJPAv2miDOSF0J4NQsrMHOLUWfxaLY/NygmqyY6Wof74M9jgcaRMi3aE7H7nY042cjw2nvgzG+Z+7nydXISpOlCm1YP9jy1+0qO0AiWaS8ODHYiWUIz5vMaOq4eBVqynTdPMGo/f5Y8bEb2c/jI/d3epDhzrJBakLsqDo8siHjrRisCPWZLhCnQ5OZ8koSx66HtAVjf8UyVl54MQeJsbxyGtQEgrfVkqel6mF7yVrfp3G4Sl0FwNdjbvBKumRaOamSSjEkB2RuT88cZ+9sj9kHMve1JE6HF62cV6ZIwPadOQpka/eKrIJ8Fp2+YiPp4L0jvduDpgOM3CdsbxfbzBskNumRoFZvRnqLi73PgZQfqW+rP8O+T+fVFkT4s+OzdC16uM66XGSkpplyRUsP25QX7+8x5tHvC6e0V/6s/+09oEPw7/AvUb2ekTTB9Iiu3T7Vwv2D9vOLhZ894/v4O+H7mXpiPff91xcNfP6NNb/D4n6klQqmnDj9ozNhdPuN+l+cCzQya8XaHfH/Awz9WPEtGvV8xTRWLHCLB62iFfEUvGE1OFufIEw250UHvrW8V5z9lAvj4W8psNQDKfq9obyrwkjk1xIo4XjxM1c70yRIgcw5/2gNvr6Te/Ybjm55+mQjjnhTt1JCWhMNHjtRz32R+Utz/RrHdCR7/yoNh6oh6ArY3ytFJnxBy7gFuEP6qxP5LsgKiPdt2x7VgUWvQD+JFHgTCb7+jbu9JyT8syv3jg1y1ykYSVr/MIT98YlZnu+c4g1DkBq8BzJHcu5JwR50OpTJoyUCD2hiB7rxocmWqUQkJ592Ub6qK+iKYns1hSO4kG9yiCcQD7oaAJ6rQIZmeNBQW0KtvzsznQblnHby64DCWELD9VhnqEGA4EUArzIbejPFx+LE9IwPg1CFkNu4DMMf4VSa8HQqdhWyfETH22e5saBboVG4cg1QV2NgHkZfueTgs2KvkQdyRuH5SLTNq8//cIavHhPUhRRXO18urCWq9ObjqTRDGTKb0Oam1Kw4Y7GecCTnO3WTFqhvqcqWB1CzYH2Zb+9ahu4UGVYpVbF+PnKgKKQYVVK9IaP9+68+rK7Abg52Pd4lxVomG20dK2cZRWER78OEBa6zF0Mtl8BJpCP6j8Y9Do4MsqeFmUowOiaJwjuw8VeufDHKgqcOTY98OPRnB+0eXV3+MNgRaggjS3ABEBf4wQPbts69fwVKaGShm+OgZ7QGHVXUi2Gz9y24gdPA1tb4ug4dxrXpiJqp8ijAgATW2YJcLpT2os3tgpaxD/3qiB6HjqEckdFmsoQX4CrlZjCBG8dFiDYg2EWcnDjg17zEIvOBGBEzM1EGuk5hwDNWHrUJSBZJyalomkuDwg8bzQABdJIKqcHz37sz7WKhm1dYIeL3fLR7OHV0+Q7OeSyfe8hEM+Uid3Wq3JZE0zYk/3/r9vXb+fQ3i2ibfmoHdDPp+Qq+g2Ezb/cReLlHEPGev1o2jW7zSdJNA8kBh7/8fzzygBMJODIEF9X2KShdMl47VSR9jhQxWcAf9Ec9srM66mt0qGvLIfmieh2D8DT0xnCnPE1lFt82JjL3WIxujpYLsp1fTmTywJOXaSJoy7D+JTvrPKKcNaMpxX8n7MA1KWpXyPfRopmFkikO54xou65sCrcOiZG8QNHYaFEFZEtpuldoCtE+s7jg5DADMn4YEyJBYUMBmyDNYjCS7uq/Bz3lPvz+nVzID3i3OnMv3+NryOViR8bm8njR1vV+uXfcDiOQ6BDH+y1ts6B/dckEE90dW6CTMglgFKGDb2nUsWZbHXryOimMg05O8zcjavEc97JtYsnvOKFfF4WONm3c/qE4dhTHCFqczK6L7kUrVg2qAPZZps+kaByK4xsCbUFarFGcZWjyk708kwKjD/Dm1DEkh25s6C1LS0N/YLSA1+8svpw6pc4rqMOH5LicSiBYAMXMW6Enn7Z6znfHMtSyXauuhkMPMRNh5hQ5ynleFXLl3rQjyMUH2PvYPDViuM+SSyRLsBZkMsh9PFbv5e2kHIc1Kxl/ZBO3Q0I4NsiSUC2W0FQCHgbvDz5wn3ZNgeZzxPYB6KZDngn1qeKwCyWpjzSSU6nKZ8H/5u78k4/uaoMfG5BUkgjeAiSW35S+fTsCWsN/bpJMzr/3yVcZ6/xaXnwk07xBhz7tmwX5vyZUDpwd4vCIKlE8Z8pGw6JevErZ7YPnhiCUrJjBgywuQrny+/cQ13O94JqYnxfFji/alsE9+lpVV1OP3cmMfXAbzVdA+ZaSdxSFNgulJcfiBRTG/jtb+DPsd/dD5Y+eMkUZdvZSuWxxpC/WCh4S9JqoCjOGqBjtzt1MS+kBS/y6pQFoMwu3z221d81UwvXBuup+9ckHoDyIvuz0qDiVf2U7UzHfCLVn+73z90wS5W0UymIccE8qmOH67Q7Pg+U9nrBnw2YbI3QCkBZGR8N5UALaoiIBRC5X//KRRpXIIQPRy7XTKkvX8TJcW0CYkG7h+8j4x5XxdkzIPSIAekJQXxf1vKWnu8K9vs43QoBC1CSRhATcUKqgPFTg0YE1IFyoUN/ZaDH5ohx1e5VVzEmaJCoO/RIFsxqweWD1JqzX1u1MsLnCDolVmRtOeEHAZDxAbIEuFqKIeZtRjRow/cQe/Avdfs2IVjnumUdIEpKsGeVTMd7XKaj1lBqe2N9tdwvIh9UwmEIRWbjQJZZdwyvLWjUs8byUpE7OcGkbJGYDT4hBPjj7xvh5pwPS0I60V29sZ64eMcm1RgW6zjViYJ8hhJmRpr9DWK7nec857bEjWKyQ1I4miXIFUSfSy2wD07tR2A7mdhqMj/Q+G4NMVSN54qD3Q9X1g4KhGYy/9M+aQppVyHkoN/Wx5oNVvAoE82M3p97NHsgO10RaUn3ZogMDYAc1pPvTkAhqgKTE5MlTUxJzq9ESZbxNoVAY5d7i6V2VuHH6fMVnByow7vGDWkk6fBQTCBxVLwEHVer3MIdoVohw2TxlJiPnGtgmv2aAjySC8njRFvu6QvXGcipFzcXSZxPgWV9qOFBGxCmijnKfNKmcJGPtzgjV32KfsxAs+kmVgBfdKmM93lOp9a7CkmrItYW+cqQjQKmVTsP41ywpRh+bPwCEjXyoefkU9vbwv2E6CYr3wAbfSnpDA1A0oEQvaETtDgBNOt+kJzZzJl1dFMRKhtLZwhh1qG0GuBcAkvzIn21ETDR0m5dfy3lZYIGuEgF6FctvQJus180w0KNNiBB/1yC8sLynsRiRdDebuPZ/JAqfX1TZ/BZmMfa4sGlD1ejDykK31hGI4RpQPbwdpR1ZW0zhSSB2aWS0AS5EU9PXiGCeErCQLInlmrOfT9rhlgRaOfVje0KbWk5EjHTpBEiwrX14YHztZlKYUldh4/vmWvyHtiuzOvem7YnbGZVqTBLJHqhKN5HYg5MwDfoXuO7Dv0GGEUNoq8rb1MxcQbH5P3lI4o6wYA9OTycux+yttUpMLS1S/bdBjhZwz8tkIYoxEr51dRnpyVKoG6RjQRwJt9xyh0YMRBrjTSw9Ox3M0P5JQ0WVZKiusmjgHtJ56+1PaASzmZx1YeSEhmZFUCSu6BoCLwDUpgM3PDH+5ZFaTsldnDh32nC/Ws24Oc14kyGNaETQgCIKO3wF3X1f6cRvldHtDkidvJ/CWC6mK+XHD/INiezshVS6G+5X3v6mAcl7r9QtnKzaSztrPVrsbkDhK1EX4I6bPdKfcL++BeqfhszFhbcy7VdDcz1Mj0XpuN5UmT0ZuRbA+cL1O3+8gGSWdfWe2lUqSQCbSJCrKy1sK4+E7sB3t08JzXhtwR8cif/8MbR2alFdFeVZwGiJbETQptjeOBhHUpwmHT4LDRw1fFROgc8PdccWndNfH6lUBdlZR8xW4/kyQ3qyobUJ5KXDYrPsQI0RdHCbdAE0Z+/mI+SyYH1kYWT5kBqqHxj74rOQgeJxR/v4EKLD9sgJvN7QL53SXc+Is4ASc3ynaXaNv8vVM4rj3O2RNmD9l5Cvw8ueK7XPvy6Jt3O95k/rFiruHBXXN0KWQ+HQjFPvhbzKO3yqunwPP/4zycvxHGrk2cT2lCcoLk1r7Pc9XvaP8P/wDcP93ZyyfH7H+WYlJMe7/SQVO3yje/ccL2iHj8Z/NhOV6oPcM5EuyZAcgR+Cz/9Bw948LHv/yhMd3hpK0mcf1jn7b6WvB3W9a+DaaqQ/ajEBewJjdHRq8S/dbRIHNCHzTJn0qyaZBvAbAyAapS5PNM/fpJeVM2/78SyYBj98Jjt/TV1ajcmbQ2+1Q+DKDX+FIB9fT2whZ+D2vPz7IdUIee4Wj6eQ8nhHbKAS+uYAr0FfwOkFkjvsP7a/UA7jXWfogO9Lu4HgGVapCpJMPtUkgifcz9uEBbnhgBsyMl0EOPNPvc3/deQVgmVLlwcytZwWl9yDdVDDs+T0r7H3D/vPx2Zmx1x991tcrvnd8ixn9VnztfdHtvgYKblYNFSJucI0wwvfPM3IWeAE9K8o+6IwkLfrSmF2XWEMPQDwQcChCm7xyK1GVjIqHB1+eeRWhlXXfZfDNR6jaSLwC0OlxMoeoflkwFkPTNdFPt8oIb+WVgDkstvLGHCLK6rHc9Pdlh6GYwxXzYYc9i2rTq/0cq0HxXn9PRYz5cAIwnysbSkl6H3DAZ2C66JXMjIUfX8/oE07cH4cX6cTKNSZTmFV49LNCRSHRwyVxDUF/DpfJqAR6AVER/VqdHXt4/7gGngTw58i3/W0BXW467K32z9QGpBwFTnc8fA8DfqG31wFMwW69FzcC4iRR3WX7QM9gh0wOlczReOjw83hkrwDG4bxds7Ea6YEbYA4+wApMevUdDcM6+fcm3vvveWmWgOmL9R0nr4CrOebilaif3mvx5fSjW22O6ljpHP6MSboI7IAgaskbUHczfuarpBsSo2Hth/twPR6EGEl6n/nRYIFFez/R3IBJOfbBGLfb1PWPVxmi2unX+4m/PRkTcpvQkwM/te6mq4i+cTmDKRZP8DR4cOZJhpFMyfVmyD8QsNC0i82k7gHu2DPZ4WJDgtT3xXuAB7l+DbsT3JI/qdmiCMp/l9iJ21TT4aO+c1n156lq89oH38Psxe13Cm6zeojPYwgU4TZCuw/hVTxe19EGXbcz8WT6bmxtHxdj1Of+fP7zppFMc0TXTdLKz9VCu5RXc3oLHyn8q7ECn6w63vQVmRgCQdQmY2HNGu0ykecSNX1mPfyw3w9n3BM6GAhrvLrJ+xkVmu1d4rkisSi6Lq+d+6RNKfycbl8lSMnGEX7juMSbsxbrrRF4O+O6J0mTMSCjDJ9F1zsh0yPCIHSLB8Ia+i2WLZLSTAgG4aECELHEon2XEpYcUwLQr+kjXOK+qtt5X6dMfxYVWgEZz8ZrBJrdu4/hyle3UZR/Cbm7rbbrBqAK9pb6fg122OVDzRcAzAeWwZ5XFmg8SSLak4DlQr1FIiN03gwF5JoY/BS2oSQnThIWk+q5WPGIa7ofh/NnBieCdUswtgxIYdI+32+oSwYuGT5NAQB0TbheZp4tI6bVopzeMLZuDa4C1OQ9qSXAfR3ta8/uDyn2NzP2uxQTKpgU6X6jo8dUjADOOQ4sHnFRTavrIkE95ph/rBlR0dBsyKdJguSNsG4mldpsKCVLTIYf7jbY7YGAukEAJ+tl0lIMgcl72u/oE9COAukMzJ+sDeHUeVR6C19HCkXrQaa8SIW1Hvp1eY0gJvV+/N9lQF+9/gmC3MYDnHlgnQFUC+GpXiXNq6JcGzObB7FM3S2ph6YOFwtIp3bFut3bwOSnHvXHAlkVKlWgQW3OFSLzn1eN3gRprLakCqsiUPEBQBZBMkjy+ctkvRMUkOXzhnZUpCuhTHScbUPud8JXsyJlRd0tY23VAYcPJR8kb4J9+IHPsj10AqAIuEOqgWaVmyB+cgF0uJHcGlIVgRTenyxWecwpYLw1TYCRzOTFKtYCGx0yh2D7AYEpr3Id+p/Ae14fEspiWdFGYoR8adjeZqz3VJKHj0bs8jn3fHujqG8a0pU04tAh4+pQxa0nAeqBZFSjwHMUEbOenViHe5mXBp9RKmpMcmIshpeGcq1Ilx1OkAafX1voQUhmH1e89sr+t6TA3pD3hrQ3zFYF9vOWNsF05v0ub7nWVPYKZxX1QJIGzwK1JlH59N4NLijCiU1Vkc4WZLqSsApvtQpiM1ZJyjm60TYjogmEkhZBc4NgiZ/9rjtBhNrYuJgEzrDLinLYIUmxTQVtTcCebGi89Opto0KMPkZBJ9bJwuB5ZjZRdkBsXqBDgzjr0JxTc1x60GyBjz23qLAnzwJbr9zKj7J8DcJLQMwBIfGInfmqvaJo68szyHsol4r8skFLQj0WZkULSXd4Zjgv0FmFkwXQuzOtW59eoDh8LdD3OlXKZgSy0qtZQfLh+sESLmkhZE293cAfe2hboDPYk49IiT3nzaKCITIgW2+C5ow2F2x35UYX5UtDvlB+3FiHEXX2ee2Om1QgqZCXwQylCvu/2K5Ccrm8DW0nu9sE5QgoBaYnQV4T1nrba8RrdPjtSHzFNe7Oqma1+bxWdbvjntSDIRQSrE1GMb1dUErD5fEIuSTOinyrQBWUs8B77eudBrHNyGLezyziTPhMTOdvuAl6bfucETcvGuQlTpDn+zA9bdRd1hYCINZJqp2FRB4FlxlWUhK3/qlhfvb97rLXba3Y/hpR2pMhABw5YcnjEYUy6qmb1+Age7XK92VETozrRtZ8kGRog0EJM5wkTlRRXvabIP7mK7zhWAQoBdIatFaMvehojYFI+R3JnghOKCupgjKslhQ5AtMzfZHtQXD5ygLFKpBrCjlMm2B+MsdOqPtw9WQR+4mziE1UEI7mixE13I/jN0aec6U9rO7XVGB67LrGR7Osbzoc2ddUKj9XjxyLpJ+ttHHmuLbHGemSeEbmBsliRFuW1M8MGP17PeDf7h2ezT49NBvJgm5XvGUhqpWtzzM+PLbQh9fPCtKumD/uyFuDPJm+8T7ULNjezibzDZKyJTpdhjUCOqkc0ZI2omu2OwZ2+dowf9qw6kRWXks2QOk3SFOsb3L0ywJ8zumFz+4jUsSYrV3nSAXuvm04fNyx3Wdc3xPtU4x/wRNrAEl6WgEun/Hszs/Ufxwv5EERn2d+tue/IALi9d0EUUW+GJdIrZDrSl98r8CAQGtZkBv9j8MnVlLbTD+sZaCcxfN1WN6TlOjum4p2BfJTxuXNgbIzW5IPAKwSvN/ROOtLgahg+ayZf05uhMMPivlJsb7hOEzaUY1Kn3O0uG/SZgWS4vTrjPnR+BDuM7Qorl/SLs7fJ5RfJxujpWgHxeWfb9QxuwBtgOZaNkoa0QX1BLT3G75894Lvvn9A/sS2tf2euv/w6wnlZcbymaL+fKEvP+1oJWF9l4FG39V1JdvV6OPILrauPCccecTnT7tieZfw7X9xgI/okkaZSpugXPuarO8mbPcJ1y8F+53i8J1gelbs2a69Avf/yPevD4Ll/YzLV4L1s51n8EqZancNeqpYrxPyQnTH+lZpx95UoCjkUMmsfZ6QfyiWBMENq3E92edyL+5tD5SDchbMnxjYnv+UyCdHrt7/SvDF//MTzr98wK/+NwntoLj/+4y731COl7em48xOb/cGbX4k+WRNA+N/6kmOsBcC1PV/qCA3GmwtQPMRMub4e2Yor1QwrDKQlMXn98Fih3gQM4AAIjMXzrq4w9CN2496vIbsQATK6oYGgf2+6dMYAkuFOTDWE1OPlgU5EkrRau6EPua4ydSQCi8k6PcfmQi7KQ9wo8IdozOGLErrz8K1HZ384ec/tR3S3+vXB0CHNmlUd8I4rISbqzhUho4NDJcv0Bhx4sQfI829zuaI22gEwgjVHOvcnb3dq40SQRczxMPmuWPht67D845OFYb9HTLVN1UxpbMjNn5BBYA5WB4oeXXKKwBcA+nO6s29KSuBMAO3A8hCR6y5vHdCkddwsh89nzuF8TD9eW8qUuh/j/1nTROQjBjI5d0RA9urvlnLPt9UXZLdROMNukKJpIln9w3GJlNDyopcSPXfakJVkHyipRtjPz6Tn5MxOz06yKNMBwx1lO/Rcfa/m8beqCNJVDuqxIJA26y+fybDPoolgupKAWO2mzAx1RTGn0GzVYe9H9Cra3B5li7bYyV3eI6ong+/U5GbNwasdiRv80xzMLH2ip1UMui6zHZCm1dKwgMCf5+TA9bbt0X11ytqruNsrZw8qNlNRXb19fl7de3YUxvz41wHo7w7VCnO51DVJnTQknxbD6ABQK0S77wMmsCzbsvl9+S9gd460GbLdh84pxGJAa6UhnmuyKnhmhsAznP0yg1ZKpktDzvlz/H6rI9y3Rh4/UjG/SPijnD/XuokjX/3SmY1uejJRQyV77EKztsxCHsF0qBT3am+Gc9l16IdNhkYERHjOR108rjPMjz363Pgf98EuHL7HoXdp50FVk79Xuz5dpP9G/uvkexlQsd1XLpVQn5+5bYfWP1cqZ+FHnS8RlWMjOJqCRKvHqVdwudwIqgW5IWDnFtAnkCysJjLOvgszpbsBI0Of+8BXdfdJHajKmxGqOP+VJvYE9dODce7DTk3U52CS56GtUFP+EBerS96ct9fw7m/2XPp6xY9fuD58aqV+4bN/K1AxzTa71yZ6JLNqgkuH56UHu6p2xHKss9fr0onOqqoW4W0cot08P22r7wZ3Si2/oChpQZdN1Rr06bIl2otVXxO3XiDTvrlyS4Ig02g2wsVBAnjCLn3to20VrRDJukamMTSEZL1+17GiVEWxQ4JssDwqxLlxqu5jgirOxFjr6dAoAzV/d1kpJA9PBJnG7lQ9oOEfoyEn0HH2wRUT4ja+SNDOOGwaSaZqs4aY5ry1WWdzMr5tCOJYjtPt3IHRLIpppjMDXNmYjgmqyTAGf+nFwbXe+UBT4mJIM5Jx4B46PvmfryjPNNmBand2k9WxfUzFrLUEA2pys09Op9MPaSYw/wjhJTZHwbF5LohPxDtlgJI9RYG4EUL2jlrSygerzSk3Ey+BwTg6J8MPmPovkmZrF77eWzHBhSFKwOpgLxcIfs9CyUzMz352u1v+Haub9CTQSNSNhL+bgdsf+vvhATdvv74IBdAkE9ZtUDFsP8lYZoS0i4RHCk6S6ovIkerGGvw0ZrHdzs3Z7EMIpCtV3N+JhtdPUjAX1ilEKTCoGw6VzK8HQWbjZHx6lm+UqBHQh9fxPUts53ZsvOt9P5bnRpkrlBRbEcB5ob5bkMpFXeHDTk1LFvB3hIuKqjXRHhelTB8QVphjt1+Z8owwRw4Pmtzg2XGVNAdiIAkqQb7MIfUd4McVd+NH26nAlnZx6EiaCf23aW1QtYdeppQH2ZmYj9tN06yV4AJaXWPm4HspGKGytgznSSkNpQL+8TqQbC+Sf15lPuaauY+72JZX6BHAYKkag5Zr3bVk/yIjEILDXX06GYwS4+uPNokaNL3XJNAp0wFbz2OKAk6FVZw91fevz0zagOcyGtvyJcdKSeyjfppagrZMxV1sWHhpWeBO0w1Ip3eX752x8mhT3ltyF5Bb2B1WN0qIpI1rQG58YyoIJRlJCWGoMwHmLvwO408BMFu3U4V08OKXBqO8wYRDTjZvpPsR5VVOSdY84pDtjEbzrSKM7qDasFSXvv/jy/ZgWLQSkcpOEOniqAdGNR5oktLApwToFFberJGthr6CaqsPPu4HU9aGCGZK1dpQL5Yv3ZJUdltxyne79VRCMfyuMEJ5ulZYn2Tt/5Zy8T00isZHuA5XKceJPTBWMlNFX0vzfFsJQE+sqIfyzBSPlqmB+qNQlIrdLO+g9cO0rICdzwbUhumpx0/9XLWZh9HokPmVbP0uc+OMnGZduTMwgpG2onwCXZoY1EtL3vsrSNTfFTc/OznxnTfLjc9v3ScxnOGmySOQ7vYb67Qu4p8t2OaKu6OC6bccCw7RBTrVnCtCVgSyhOJR9JihCfLcG6dCd+O9ThOyXWek2xwnITC4b4jXDttGhXfehwInOx3LtNilVWiS1LoMl8X2SrHSjnZoACTJ6CtSuscDLxn3r8nelhNTd3ZsYpxM3kpF0WtrBoGidVZYv1lZ78v+7Koc7P7AN5aFE79rV6OHt5hTna+anAhRCBuaDEnX4zZokul3J85Ek5KgRwP3dYD2B9mJORYR+/Tn5ZqyYQZckoBUfXn0gTkC3WbFuDyVe/nRhNMVtXJpsfZR8treiWM5FIayQJumUYFH+bIzp+GNUrdAUwLcPCZqrDK3GeCelJjNmXSfL/HjdO/va9IbzZMpaEU2rdaM3sPM8e1kDk1hXxLBeRCOfDxd7AlQQPmJ4E+W5V30dBZSJSB1BTVRhKKBdxBPlURCKTQV3A/JiOfyaPR5ozli1NUdLz1qRoZjvecB/rGEmYNgOW42etsskQiTp6n0FeiEBsRl6piuiAY8Z2RnFB/dGZYC1I9SNnuBPhyZq+hwdk98cYWDVaUr3fSz35AVjVawRyZOCb/0lqRL1skQLn+Bv9PPMs6T8DxAB04FubnivUXgvUtZyyXK/dufuSz39gs25fzlzlsl14K9KHi8m4HmgC7QDZDb7WuY9mDKZCdgWIQtpksH7+D+VrAXnrA4oFM2oDj1+xhv36pePmlO72Us2Rj/pb3ivUdkT2H7wFpCcuXCSgNMjUgC2pR1Dem25SyPb1ZMM9kb35ZZrSN+kwzoIcKmRquXybs99Tpp7+ZUQ+K9cvKs/FQUU8SwaAXFSizCdkQo4eP9MmqTQ9ZPuQINHlBRG/r/NjRpY4YpV5mjzpgfnExBOsj+qiixt5zqYpPdcJ+6tAgacDpV4V7YPBwNGBWSwi2HGdRM3AcinweiG9vG9pdhWzkFkoVmD4mi1mMuFfJNK4JKI8UGPbr8lk+/csvsbxPyC+ALvT/l/esTLv8efJku6d/vL0lwtdfaQXuvqnIq2J5l7Hd0beqR9r4P+T1TxPkeiCyMeMmIlAt0NqQr5Tknsk3ZzUY7YZMiJohESBb2btcSQKVNhIppJ3077I3tFIAW+yewaPBdEjq1koQlnjVITKi9rmASWfCGvZ7jeyGZ0a1MAOSikIzDcR82PHZmxdMqeFuWpFE8bgccdkmrKUYJJiPHQpr70IK7RBlz8h69qsVYAvI5I+X3I1quVpiIctt9hFA2owmfyJZU1kb5LKSzXIyIp69AdsO3M3srd0ayg8LYEkLAHSgSkKbM/aHKQyNWNwQELmmQCUEGo0waPYzk4jKszfSvCm9O1kerDax6l+DNcP3rDdAx77NBqmwMR9e4YqKV6YS9cozBNBDCmUBePM6na1m1QDNAkmskP6oxAWEU83+LT6rj1tpU+p9cEBk8iCc4eYQ4MhaWXVmrPw4ZIVBq8FRK4yMo/V78D4Sl3kBAiWgPYPdKyD9Gk7MUo0R1YeD65BN0wxWbw8Nx9OKKVe8OawQUWw1o6rgkjR6tTm2RcJpy1eDJe32PF5dAQLarXYWxkqlv/x8aAZq7j/zoNbn1WLT2H+F9a0HJDdDm9LR95/VBhjMfIQ0EyLNpFw9MIGRAsJPJ5rzFJ3MakgAgevnxGxu9CPzrZaAMLlmT5j3V3VIMde/O4P+M+/xbTBjZRXLkN/SF6/PYkTIKStvLXQ0GrgO2w7kHAFCPI8ld1gdJrnWze9tLdCSBSsImPJYtYl1yK5nDYK6Wiba/vZknM/KlMT1TcsOiFDfRAWbOq1cbmXGUQrjCJxoY/G2ixk2do1BbmSksyIdK06nFad5w88fnpCgSNLQNOH76Q7rXNCWZE6DBKHb9KIxVigcvkhsUP4Jx+r3A3Qn36vKPch1Nv+h8lMVSSX0K+GJraNKNgUK9XMkLJonOAjRFSHLflorUBXtZHD7xArizdnbFbI15CYYkSw344yEkDJWR7n32SGIpufY2qIxLguw4KTBKtO+JpbgdbmWIZCynq185XOnndUsAP15XR5hZ7UBadshW4MsG3TdoDlDpoIRxlnvCvTae/pZ5W5IzySnKkbk5UlTMknzGq5f17eC7cGCV7Eg9WpkYTYyJK2s5gCmhpwwruqNXSeCjBBmT9o7uct2b+P3rPeQY/Q8GOK9bW8V+7uKzougLiIIcsKHHQ9vrnHNpsLkWxPyiBSxShqdeVakEAzzXm0c7zlduu/iEH71Gbyu9+18jtrJE527oeW85xRAEHEVBdKym9/BJr18ZVKizdz3tNHP4zirbP6F6RVYTnhngoWlIrOXjb5kkNlZmYz749Vlgc8p9eS0B/M+mkxar1IyYOzTEwQYfBcB1CDpbxCJsPAPK49TxnBPrd9z2htkqWzNn2xSxTAujkn6DD1M0AHlmK/NoKqwGeLcKyfMk8Y+ae+vVAFWR1iKcg7z+w1v317wcpmxfX9koGsJbRhho+wS46jy1WWGspxXhTyZnN6bvRgqlYDpizPl+fJnFfdfvWBdM+qW0S4Fcmbl3QkBy7lgfuIsXq3UA8laTWRWSGpoLaFtCXlq+OUXH/FuvuDXz+/weD4SqWj2SqaGMldsb3Zsh4T5m4zTb8lOXO8S6qmRTLY0tCVDlkRfaWrQJqhXtk3liz2DF6gKg8BWXG4kkDCuH8tFsZ/YorAfWWRLO0mo8srpNEzmAMXI09zezD+sKM8rlvdvcb5KEPiKAocfGESTPFQGG2MkrjsiAVxn69OdbFTRrJCvFnz5/hk/fLpH+5p7Xs6031BLqE2IEaPccyEBq9mB519kG++lXO9C+PP0AkyXRt+7KMZxWvsRaAdEGynvl8n2OgvqIaGB5/FV6/nvfP3xQa4IZN0gtcb/d7IHP+n9MLKyJTHAO+2sZq5vJCpIEASF976JERko1LJQmgBkQbm0IbNBA+nsfVxY7ZtrOP2A3rjeMUNRbZj9flK0U8UmuTtNpwYthEVMU0VrAm2C1gTfP90j54Z3dwlTavj+5Q7Xy4x6yUjnRMz9izNZUrCBW4fQ1+FHzMpmIMaZnWJVzYDiHAQ6ex+CQ4B65VPNSdaSoHOCHskOcJMFT6xulZcdAflMQMuFwVRKkZRImw9QT3Tct8bxPmrrrUA98nPbfSF0p/CeGgQ4didm7FWTChtCbYHMxEXycTjeBwYgevaaEUe4UewVLA/UgBrZXUV2qKo5EbI3iAiawU9ZGdnhbLyQEZ/j92ZQVYe72drQ+fQMbSfXGMnQfN6ZB5RQRKCeLMERMHylYXZGuRjTZM4QlMQbYo6KG68OswN8hm+HIBukptDpJ6NmD2zp/Ct7zEWRCoWutYTzxlSkKgmn1rWQAGLrPT0+xsL7CX3IPdDlvJOEyY2sx++AXpk2+LWvn78nEkJWyY8KN28wgoEbEg7LdnMdh6BvvHbjHF00BJTy5rtNZoMAJfdz4WRrjsJIBhmMVoMKZNND7jgTBzboqOE5I8NugQDE2AzNYRRzZmP0ke1NQrO5ooAiAZUyDoNnO0QTOSNGCA0wTpknYK/ILyvaXNCO3pNra2VkOayq8gvTbg7hsTsy6zv33uy59m4SAPSxYNGuQWdAHWlwmhDxlwKp+jzVHL2KvUrbk5gOzYpKclTELfucWOkiYkGZzElEKNQm+HglS+nWEvaa8fJyRHspSIsflG5LWKXriRJNfTxEWQxSdkjY7R5uoLbV1kNlQDX0s+JJsrTZOtu6Q4E2F+CB78HeTJdYQFEVzgTPYHlwlgHqe6uiigJiybObHnQAPkLI91yUNsQd1Gq9lrIzwMWgj72Ko2PSZth7l4vx317NGINc2kSXeyIqUFmFaFO6/Y7hpcWS6vk2gL+BRxt0HKmPXtKcUN8drfJiCS3v8QNhiH1MoPkL9y2SG1I1xnuMLSfVK/G76wnTc409ubxnR5IYa75qyIwnjFgdJjmaByJeYYSCPbXOTmvzS3vFpqNwmgq2jRXcVjNbdZYcFbq0kwwoZk5bkOtn9QZ9439bIkkqcPg0IOTU/yMBp3YZj97rva/VCDtm5S9FIm7stxVt0CzIF1Y4e6Jb4n5IpjkE0AZfHyu54koa/b48qQFYgiUTGumJPCfTjEq36+wDUE3Xuy2uk0AsAery6gGm/3+dBHLqvcVxH0q/Il9ryKbUhvy4smJ5mjgrdUTdeaugvZ7+nLN0pycGN4dHQsO3O/kR4sjPaJstUJvVGOYFl2XCdpkwfWKyYX/DYDNdEsnXGp8/7eBcaLA6tx8lCjdpyJL0debn8hU4PbLSfPhtxnl7gD7suHt7xZoVuyVevPi03StefsG+cVRBXV+X9TKwJ2AT7JPiZZ2RRPHx+YTl8QC5ZAQhpAqaCuSSkV8SUmUiohUgXwRpy2g5A2Ks41dChH06RLkSXdEm4PoFbvyVtAqRYhOwHhsh0c/83HYnMd7Lp1o0g1UzySGIApjHBmLrehLkdYKWhO1kSYoKHB4lWsTWB+m20NoueR5tNFp1n5EEb20CtncVcldZsHs5Yr8WFCMn2+8AnDhvud61kF9ZgGlllXd7oJ2dPwqO3ynqxmeMvmu/lzmhTpw0QX9GAxHIcXfk7fGpNvysrceqmB85rvMPef2TVHJlWQnvPMzQ06EbEy8+hbLmqIf1Pt0YxOuXivWLSpjPmcJaj+aA1GSZSIG+9AoGlAQc+bKhzQX1VLjmm2Vmt9YDmZaQIICPLxB059+gIdsDr9neVOT7De3QOM8sK9KhImXF6bRiLju2mrHvGdtasD5OgYmZcsXLpyPkcUJZSFCSVmD+SMd/flHLAsIIGSQq12M2X80ZckKGvGgfz6F0DqdnNsQ//dmM/cTxSnljhiZf61ClZkCqRVBbhtwzzdoM5qglcb7xVpE/Xbu+F4EeMtqUI3CACNc1c8ZcmwV5JSkEgKjybA8T2swZdnU2g7DyMK0OXRoMvzMgTi98xv3OesVU0bbuUDCJAWMTtkTJkCjIK8wASgRSHhCUl9qrugLKxXWnAVWzvHsD1o0B0VTwOsgN9sJsjlEy4hcRjtGqjQ7onADtsuaGu829aZ+G0Hpj3JHYenJCFEgLHdybPktVMLy112DIfZRSEBn54PlJUDP3Zz/ycevBDJh/zaTQ+zo4/UCZKgQ08NtCuUmpQVVQLwXphbPy3HkvL5TVgCgOzm2MAHKFbU8QrQYmcwDfk1a1mYRenh/XjckVsdEqHugyGBTu7WWz7+9Ouzv4QcAUTMS8SamtJ4fsuzxRFgRloOwgSYx+8PvyyoUrcvgsumLBwKrDethn0Kt0kfU3R2rsZVJI6EyHO8pYHrS1xApWynbflgRxYinXyzn1ACB59GXPfTpC1g14uSC9f4P6du7VXwVSJXIhLQnZ9HCdWbLeSkI9MsDdv9yY8V9sjNoGOwywQNGIU8JpZfSuhTppM0i6y7+sDWljxUYO6aZ61wr1Bcci3FZeepCLW3IpQYypSImkZHvN+HTJqC3hep3Q9gQ8TchnwrX8HHtbwfzccPhhh8MoOUeW1aRyYYsBM+X0jm0SQyQkUTlf09FJEM5B12zQ7Gt7pV8Z6LVDRj0VQhiX2mUZymRzAwPd2iBKMiEktYAu/Eyzv1YZteqQ683Qq0JnS5u3XnS71bK136gT0zC4LTYqJ5JUdi2fJXvTp2v3o5nnJHqB7UNBuCZgMtZEuc02kq6y8h/s4bZODUBOCUhi/ecCtC7n4kFUFp6BBLScsN9lC1gRFcG8Aa0JsiED9lmi6lGtesoxHHQ+08TqRvKZwGbLD0/N+nNNlzliAUBTMuY6SoPJBEcaidk+2vjzFwnre+rseuRzcN0F26xIpx3tUpBXd04NsZCAZBD89TL1WaQKyJI4esWQJrK7I0zd5cnL6dIdbhU7dxao1IOgnBV33+yEIh+81YKOd50JR+QeIWDurhdDLvzfRmg6zn/mCLTWbcV5Q3q+AIXtFZoT2qmgZU5MgAKoCEJUwBIYjbB2r9y6H+hr7xDq6Wx2RTux5X40NXpFn6GOXigpLwz0Hann8u2qenrxdgmeMzJdJ9rOVQPW28D7zi8b9ncHbA8F88cV828+8vm/eEs/rg36PcsNCO3xr4CH74HTd41B7scN+13G9cNkCRkgoOXWo+psve3YgANhSOtlgjwXHL7j+dy+bJjfLtjWE8qLjRM7cuSSB3HrG67H4RN1pWrnI3CUzfag2N82lMeEt3/LyqamhP3bjMd/AXz5py+4ngq+l3vsW4Y+M+G4v6vYv7Jk9Z5ICudne+dZpJ4WtFnx+OGIpoLl0xHTdwx7miV/VIG2J+SnxFnYBVjeM2k9PY8JKx+Vxerr9QvzSc9AWoDrV4r1ix1i35UqrLotuH7V0D7f0B4LpicmCgKWa2sSIxsTkw/Ufz1h4i19y3v3OQrmAyHWrSimq+D+14wVLp8nbA8IPV6Piu1dAxpbuoi2E2TzO9IGyBGYPrviy/fP+OaHN1g+HSHXRLmQTlyln6043q8sdFyYTfZxQZefK/BhRb4ecXhUoqeKcTDdw4geBfuBfr4Tkh2/U0zXPiXk+oVg/axC1oTrt4KWs5HWkTwtPzbUrZ/p3/f6o4Nc2feb2nEQstjfXlXxwHQsm9/gV0CBq6dmiq4bpbHaGb1PAkKVzFlLawWGLJZXtLyXybOdEOGMXNt8Z7sNw9/AYdTVDEADjQHQs58tsZrrFluBdSnYUgaWTMjS1jPaVF7u4Nt4HXgwInCIzW3FyoIU+zcXwjOZoPMtZO/TJL3PxZSxO5Lxea+oTXQeR6ZVnUsEUL1qpRiJTPijHmgTPmskVeq9IbYfY0Cg3oPFrxh7CqJK7dWc5o6FRLDhgawrAg6hv3XCXD6c9VCG+wxnZVjDcHVKigouYI6hsYW/puKXWnvQq6yWaEPINgMkOjDNK70uQsWzdeZsmhHTqmh7QnJ59mu5offgx3qdI9nAGh2dGyRDMEv0NXrfWxgUl3VfL0HPYvr/O6y5Sfi5+5ZxMTlX20APcrEmyGZK/2p/G5wme/X5lSPrUHV3kMZ95UU9kOUzj+M/Yl7wbjBjd4LSIOeWIJKmkaxRY68OnWT75/vf91f777yyY9vIYrKlFl5DgpNY1cufx6o/dhZTtUq7I0lGORx0oEMjw+90qKTt01jl1QzrL0eMWLGvjMz0wNEyBBbaodv+nLXePpO/p1YmLgdkQVS1HeLZ+h/H5zliQEqjlFoFl33z2pnIxfZP1FpDbZ92sNoqqetw9TNjun7n2CpVrxT2KsgIU6Zj6Z9VIhSMXCoWZhfUPWPd1CpbyZI4rAS4bKeN2fpkiJNsvbMxX9V0Xqo9Scngwxy33Pcvxq8NFRSXv7wpi4wmwwxKb4MzKLktHCElkF6pd04DJ/CB6TUVKFoEUn69Ee7u90EYf+rnqg5nGV0WRfr9OurGJxWMOr6TYdmeuxK2BEUbKk+szNs/M8dN8R74szb1vSb07/Y8jnIZlfHK2dCi3RNOa0PSFv3Nuglkygye496153xbty8AevX2UOkrLBmalSRmxao9K3vQOfvYZCLD+tPVbHWKZ/H2BK9SB5rEKjieLPT1EAu+xNbNA0Qdx6YMerVVwbIVbFuGLnnQRQLZhv7yRQxO6boYkdx5LQcxOq+ynzhvxnov/hn7f2/FOvM7ol/QkD03Ns9kUIugocTnwxcZ/ImOTJAu8w2crwqx3ndFMrRKssToiFQIduVBd/R++p4oh0HSvWe+IzMQwUiMgqmU8erTKUyP3xR8zPse2zt8vz1RHM8IhE3Ukw1P9hZB19HV5LkOfstG3cvKn19PorrndisBrOgXkKAoA7Im+gNzo5xPiuUzIxg9VJIyVTEIa09auIz4yKO0OecFmDAxYXeEU7pyMkNeWyTmw18QRW0J+1KgG31LJzmS3GjnCgNV7PRt3V7yrBB+u+8Jl3Xi70e/w8+udPQBE6KA7op8oTx5Mcr9VSYwTF7OrIugAbIlfmdCsG/nFchnQZsZoPu6J0ckeptTtgT2ItHqQOSdtd5ZMsa5TDRxUo0mBBoyXu7bmT2GICDmnnRxOXd+BGnA9nTANyrYXiYmqK1lE0Akh7UJ9j1R7zX+0Wyhg6OijorrB+my7fdio1jXtxJ9vZ5A5kXsrDV0FI21fFQlCoW6TdAGFNvve/3RQa4+n4H5Dsg54K+aUiiftFTI2iyaTxBNmEoj4cABACxTsgn00FA+XBlEfnOkgPnhUTbRy+4VG5DsJ/Ea5WmBpoT6MN/ANdJaY4i7VxqX9xn7xIzVfme9ohYEyzUTumAwaTXWMhVgOdtyFQ3WXmSeyO3TAWjA/ENGee5Dk/OqODw29iUMAWKxHrRmlU5/xciQqpjPdObrMREC2TqZFAOfiuP3O+bizjufo54IrcsLjUUyOHHLgu2ukFjh4wKpDe1QoHckpUrXHSINsu62dokzwhziU1vA2yYjQPD+RiQbrVLYxzJCzurU9/D4/VDt8n40M6J59YoxjUU9MNsVVV7l4diPCIdqfPlhbBfz81fr324K78UJB08E9X6mI7PYOIp1gzaHXlegbV3OX67ALBxJURt0pzGJUTXuiM65O71mNPf7PmMZCdDSkB92DiLXA3IC6lWQs5BNctMIFMV6SMfqo3hFuQF6mniu6pAqtttpVYhEFdzsCQ2AEtqW6ARAhYPEhW9QAfBcUF/Nb6x2BKYLHbly5ngo2YH5pcNYx75ViDCedKchd+fB5ZaQVu2w+72hIUXAOD2yaqUeHGVBm13OKxMO6055FIFO1LqCSqfPnSCAQUJK0AMXxLkEIsmTAOTMtUu8Se/fDnkw8pzIuhcLbA0S31kk9cYJAvo2uYPomdtOgoLBqYUlUVghF4D97QmYAUIL3adRoEm6cRbz1lhF9R5kHzNRB4uoHfcjtQK7QrcNsu0xXswTPmKVXNkqklVZUgXUKnfNWIvLXFEzyV+wC6oyE5sv7tDZ/mdxgm8GHnulXnEouvdhu67fG6bHlUiOY4FMEoR743ia/c6yzi53s0InOkf5uLPd5GmCrAltF1yvDGrTmYZ9XgCOxUKHJj8zWJleWIGOnr65j9thD6o5aiUhXxrmH1bolDiOKfUz0CyoYd8a9VTavWIkAdNte4b3jHplio7i7RmLc2wOPrJ97mrMZ/MElGSIA0UrCdubCRD27qXakK87URAlQeo0wD8FUqnUmLhG9Jh7YimSlM1lV7qcW79my963aLB0d+KijQFRURZLxGSDfmsC9ruMGJ/iOsaTJHb20nWjrDt54LZCP63QQc7zy4a87cC2c133Cj1MkO2BusOPRhp1DWdSuoO2P1S8f3fGshVc9Mj7v29QAKvOgCbkC3D3W7YBbW8L6sznKedKh/3A5xFLgO/3Gdt9sr7bIfHRzKE1h7W8wFpOEG1eWqh39ErhandeMKCDq+eCy5qALSE/u4HmNcrL0E985jV9/ElPxOEGUi4NmM6sTpdLRXlesT/MePmTGZo4HsjRDJoSpguQvm+R+AYQPa9iife0A9OZPdXb2xn7B65FWmkDSRgp4QNKU7ZYZI5y86qrbDq6VSgX6ndvY6l3M/kXqoaOazYSDsoq3H4QbHdc74AgN+3zts1J99+VF/oYnvBt5uM6CWbYCgtyPAmRrB0vbQKIoiwN82MvMNTTBNkbpqcGZMHyi7eQqpg+XpHWQYYtmZPaEs99/Fawfw6s7whLnj+l6MHkaEwm0/JFUMAq9faOezZ/Szbc61cCud9w+PIFn//lGQDwdD1g2QrSIpgf+axS5Qa9dfy+YX5uqDMhtYC16y2dmKlcWC2dnoD5sXJ/UkY9gYlJAJd1QvnNDKnA+vMN88OKVlloKlPF2/srmgKPT3eoW4JuCbonoFSSSgHYrxO28wyooN41pGtCthm2yViCpRoa6KTY3++QS8bhB9q3yxeK/aEBv8o4fatY3wrqz1ZIadj2IwA7P7/NrFaeqIvLmXajnIH2dcb2AFy/5LmcnhJkB7Z3inrPavbpa0G5KEmldsWnv5ywfM7z63bo7huehfVNwvUDybrKE5MYmnEzfsftsVRg/pjiLFcuxQ3BWVqBN/9hgqYJk0Gn9zuuhaM9oAJcMzYL5mUzlMax73vbE9oXO75/T2Tu8Rvq83oizHk/Ca5fEXly/K10hno3NZZQS1eu6en7huO3K7Y3bH/cj0KUwIw/6PXHw5Xd0I7ZtPHVlBWQ9BqWZ78fHF0IMM8VtSoW0ZsMPb9ryGYBkflMDiu8aWqwjGDqgRODQEX39t3h6h9jX1NnUYNIVHJlF6vsKsbxETSsyaDC3TEKtuSN8Et3XD3DqRmsdIyZeg+2mzn9CrSmloEf1srfv1tVzyFz4/qrhuMtVSMLPa4nzFkXsb3QYQ89qLKK2m2/J4MQ723yalY4RXbdgNA6LMoMRYI7MsPzerBTEZngeE575pYRUJ7XSIB4n9/HGNQmq1B6EOKPiv6s0tSCetva0YlsY1Cgt39ErId3XPt+zwxeKDMqNCopNY40SfrTn9Ph300JpYatvwcsAIPy1slMuDm9WnKTSRsuEz6yB1QKODQwlM0qAXmL6mtA6A3O5izKQ/+wWAAQjyRKsjOBaRyxtRvk3mDW8XwuDw1WETXCHc+sq1UzYx/Bfa1qVUyhPDcJR27cO1FPXjlhF+VCVFn9TWrBse1P05sJJICvnbz67tv1HSsgoYdcn9j+KoZ9yrf7FEgFNVnR4b1Dtna8bpTi06AP/Jy/eoTowR+fYfy3Ixt8fYe1GpEevQ3EP+o6RaOCKlZN997DHszAYOHa9YonEQNunrpcBkKlV5luzkvsDYZq6KCvgXD80wbTY0J5d+bka68+eXUykArLcNZeLWgQ8tlaOJKpKZCLze4uuH12/+P2TQE44/uNARyu4/uUCCXulWwjz9O+LzLKPGEfvE/vExzsmH+3OmpE0fXJzfWB4AZQ2rOYtWtBjCRfA/9O38BXMpwoLz3ItWcZZHz8XLdRP702oQcAGlRt0NqgwzxoqRXwcXl7BbYNYj6KtkFW3B4FJHrQkQk4zhuqGnFTI/mNiJIwz77DSQMDHg105esBOjQQHC07kskRE9IRJUPyOMiCGuyMofs5ML0LsTMr1hefIGsKmHnn2pAgCsxbl/No8Uk9kafDfjg3Qloq0suCXBIgc6/cDXqJc45tDnh29BesIu360HyOnb3OnKSgca78un0jhYissaKrI3JLbQ+b2dLWddhrmVE/v25/fsIuNyBBg2U8fjfc24h+czIg//xoj73a5/3JnCHeZYYJUPNjdj5DM3JE59vwsx3P2tqNrxLon/Gcj88j9KlS7okHWIUsrYjxVQIg54bPjgxyL9uE1W2827ntVv+SiV6DXEgUbKNxfe2fNZ/QZb9lBJqjtoRaUye3FKCUik0B0Qyf+JDCj3utkHmNqDreyKPd7zhP3F9GNDt+LW0W94qVUsYX/p7eN8vkRvgvvjZNmaB2f8XPdLJ4Qm8rxdyEfuYbgJT7d7oMxT7rK1+gdfsijfsJWHJm8Dc8JmHBgH/vFiCrAJjsYjvsbErMJGY/vdzKlwrZrmdFVWsdaMPWFFqTtvS9cqSt+0O8XyGqZL+NG52B30dP/fe9/ni48rs30MN9d/IbD6c4MdL9jDbbIPfzBtGC7SFbtp009z7DCllxmDbsKcOTBmz0ppGpRyqzcuEYgTontDmhVUU65HDsAFMSywaUQ/TveLCTLGMolVmaOsDaZO9OvVT+O1dmQNI6spR1J0gaBiibRv+pO7jluVIppVvFDyCgAv5Kq1XCqlWBVDE9Ufm12WdoZevX4c9iVqVY7+/HvY+YsODARztNzhQ7Z+BQkJYd5co+1DYX3otXOI2NE61B1D5nPb0kIzG8vX1fNXbDfFVkNbhRETRjym6FVPaaSSPu449iLYYg2UfGTC+vqO6t164dLHvkctiY3Xa4SxjmKUGKBjV7OQuy9hEcANAOPAZpIgupiADllo1T5pmVkGw9yusGEnhlICWiF4zwJF93iGbUCw/3erXezTvlvLAEwm+qIF8T0tKzv5RLI/exvfM5gTrI91htYAKjIdv67RPPyXZH4ofIlA8OdTK6fy2cneby3BUX4IEvEy6DYWgGp9pYXSxX6yu8NOuB746uQ72crbgeiOjI1kvXH8KqBM4+aln3Yga8lYSWUxAQhY0UWF81ej+SwbhuhcucgQZI42IkT1BoD5o8aeFrHQRt7oB5QKHulHId5q1GL1fAznS4R3NgPSC4CXDs+flm9Gpt6fsFAXar+klUgDuBX8CZVyO2CWgfZUWbJcNqRj53hlVi9AYFJAIcZ8hhhh5nRB9nIbyxXFfIdaUYGpmdo09gMVleBPvTZFXTSkTBU0GyhImaE9Mm4fdYYJeuG9LTFXKaUdMhgkQAKOcNaNQ39a6YocvhMIrCyNsUWVgdYJXV+nz2RGCGKNpLZrX2UUKnh863f7tedybotFuQW/v59IA0X4FJDGXgyRyTnzYn7JhCvj1hwO9uwJn3TlZvq2bXhqopYHVpa/hRAsV1V7FRWd5be8honlDeKhO/lcnIcGLdyW7KEVGmN9qUABT+7fIOc9QzeR08ePFxNn0snIS9c4Zgl3O2BUns00iwGMm24RwEIscIrYhcyBG8KID9jl4aycssCFJ7tinx78ME8TkvldwceLLLVIWeZrSUkM4L5EWhU0E9FqsIAjFLvpE93xnUCUHnWr47XJFESTZZOVYNLcUIwlT77Fu3YW0S9kBL1xWa+J60K6ZzuykE5LUhJfb7BgeAt/XshHTvE8gWfmjI9zvquaB8LIEU6V41EzjTE/rvYH1uqxqRGH2Yw8cNsjXsDxPqQYIt14NPFes5zQlpzTbGSgK1xhmeRHD42L9om7CkRvSh+nrv6H236E57udSQRRVBXnb4OKDtPR0BHxMXUHCHYdYWvc/1bqZOz4THtizYHoxcz+TIkQbSyHWiCd2Oug1MHbqcDX6+n5xjRUJutweeFR8pRdm7MTtBOlR3sJVNrK9bfX0F5UwCqjanYJau9xN0SkjXDVh2kmau2w1KZ30HPHyjOHxqxlK7IW2KN38v2E6Clz8VtLcNUhPyQnLUh7+nnGwPvC9pgronnM8H/LfbV1FMUhXsbyte/jRjegGO39J4rW8F25H+MpCx3QnWd4ZYuQ5yfSWSY31PEqd6Ipx4/UACWCTF9y93WC4TOMFMgSpYlymUx3qe8e1v71iYMvnKjm5qGVIn8gf8bEU+7WjfHTA9JqTF2IKr++5Kn/Sq+PTPM16+Umhp2B743sP3guM3BVqApz+nbp/+jrDxch7bBbnPrh/aDCwfxGbocu9PX6fQc5qA+YcE+S6FfNSj4PGf0Rff72B8FnbujsDznxBpkBdFeTHSx3vK0SL048oFkGdFPQ3kXxfY/vC+kPpRdLt8/cJYk49GYFca0uRnsUH3hOmbCdOn2wAzAmbX4xvhzLIL9jdMRk8vAjzl8M1FuddivcsxXlUZQ7z/b6nnlrcJ65tjJAGvXwhe/ux/wJ5cPR6gh6mfWmd3jDmjszmfDJrcOVfb5HrQyCZAFNnGt8SIFSdCaOhKppmDbPMZey/osPCtxezeMAzDho4VgNEZZXZHwrl0giCY8+Zskj7uJRsRg/cMRkbbvi/tDhkkKUKM4BhuNXo+QGWZ1wav/DiJFoBgt2RFiQelHiSquLAgN5+3CGxHmKIAdHYOBfVuoqK/Aum6ox0L1EaKNOvToiE1Yg1rHPV+obQ2IOBDKeB1oop0JsS2OhzUlM8O3m89WLN+wM06BMrfD+2OZZ17sBZVyYKYO8h1o9KKjJb0g6cwCHWyTFV8xogqnKnTyXiiMjuU7komJD8nztGtrHBJSlGdjX7wvUESjaimFLA+ABDrH9FdCI/cQcip9z1Zxjr6ri3JgL1CcoIiwftLO8GbESbthHLB1octAaOg9b/TJtCqvYKiEpnNcpYOH0l+BvjHM7sekOdVY56vw+j7At+uNRRIRYCkMdz+Zv8lRxAQZ8F6m5oR48hiyJDhdcMDAERFFuh7Ej83Qh7A3jMEtPxAr/L2qqNBIce+XQh8nMrYL1bnoV9sfHksOQRUvAd/Blsv++qRmMX3wg1Drl2Xef89b1ijYnKzPskq3iXRQXmN6Hj1isSNJ1Jcv1qQj20nMZvzMIzVCdg9LwmKhpQaGO2ZTPv7hz4k3wvZKkkMiwU0gfbQ6J1saUI1J9Vh7x2JYPbCKlLeV8dKihhMN0WQRebMnrAZobJ+DosnLZvGPnv7Q4yC8XaIJEz05S6hLQuJ6FyexmSGQfs5h5Pdp2lFVFTj1Qan3cVJ7V4Tbk6D6zM/i4rGyu7rirAjbJbd7rtEUE64JkeWiCpa9Bx3OQy4sdlgf3mAE4Q82m00b9ASakOgMz7AaAf4fBoBVTK9w+qTBc1NkCtFDNXZ5J1dOTNZqQrJmWc/1tRaqOYCqRVyTdTvZsvcTnO/DbJs/eSpAt7ee1dWLLUgZSPk2xPU2YmddXoW2xsM80ElkiJ+JgCuWe6oapMTWFuUPeeYlLG+cEijz1QUZdpRUybaZgfqrPE5DzSc5NHl0VurPIhLmyJdK9K6U6aPGV7phApHN46yYFMaYD6PSpcRHeRnTFR4j79Y6xOBM36mevWb7WwW5KZiY8ZoP+r9jP2UIU1RvApr3wGz/UwMuqPOs+aEZcgkyATA1iZPyhjsuVypP7xFxO30DXrkFUSfrQBMUtYZ0GI8LN5e5Z/z/7VzFaODqsa5rgdrVduYkPNqZ4IGeWgUMWo1hEKX83pSTL9W3P/qGokvKHD4IaFcEy5f5dCfaec84Td/TwF8/MsZi4241CqoNaNeuf7luCFnBeaG7a1NEbn2Qg7JyAT7ZtDkg9+RGIIQAXOtR466aZ6POhgTvgDLdWIvrskaqgxtWApdEg7fcX65t6eIBbw+yms/AvvPrAJcJThzSFRKcrG0KU7fVUyPK85f3dmhUIPEKg6fWJi5fClYP7ck0PedtCyqoQ1Ifi6FkHD2RPO5phfB4Vuu0/IewMTiTDlr+CFO0uQzpb0lxPto2xt+/2lhr+pmPbG997aPtxPzVRjkWqw1OCieePTE5fa2QQ8NcmjIExVGvDspWlakZcb8CZEs1cx9bO6/KAwZRT1cZ7I3l2fEXGCY7djeqOk46Wuo3Le7r3doFpy/ysHcjWZr+X6Hrr2d8Pe9/kngynLd6PCk1AOFgRAqKh+lV1TzJjbv0BTxltCWCd9s74EmOHxTuEk7F8Sz6lIZtIpVfLIakYCzAO90guvdjPowo1pWFwAszIPDhaHW49LICNd7hLgpzjbnGQo/FOXMTINXDnp1l9VJJyNqk5EBDbY1FHBD9K+iCvKV1d5wtFxhqiA1PmO+1nCokhl0abeVpnKuDB4clgMLAsJhZQY5X3f+3Iw9xKBI8RmwXygn9qxedwZo9t60Vs4cBdBEkNHivuucUOcUa6CZzv9Y5doevHLw45dDBN0MtMn6oLyfxRxkaf3gS+nkBhozaQXl6o4UnRUyhPIL5M4yuO6oAnQI5wl6mDGg2+hItAYfz+GBsAaCAQGxEh9h4Y7ITohHvgraczFHwpvqu0Pkf8p1YPnNAswF3ht6Q4alnYAmKkjwa7qzrxFgSbL+yRBJgawahARp43NMZ8Q8ZzfiPsYqr7fJnOiX8mAtyUDuwT0Y4dWyCbm3gjwKEdDkrUF9L26CZUG2pJn3KOsGEmP4NYa1uYFw2SxPqDk9KQEp9fcoHR14ssIWkckd6hlYAi2cCnfc7bJMNPVeER9BcYPaUEQAGiNG7Het9GDBifD2E2Ikh7zqPUeza6sSKmk9kpH0yr2PLWSIB7UnCLzS+xOQH9krgqIzJWAXzhv2NZ0nYCpBmlOurJLVZ8o114a9rhvY/DMtdNLyYoHj0vVwWpmQ1CmjvbkHbCSXClgdgiBGvgAcqVEEmljqlia3bR5N6RAWmENEmcUm5oy5I+/6nBl8zeQPiApu7eOqot+zKsrL3pOIA7OplgQxNvAEGPHIAJ1sdBjalCDJ4P1rvQkSiYTw8Uys4jmk1WXd+0SlKnxsW3P93gw6urdocRhRH5RtJUolMSj2sSMeHKdK29FM17cpRaI4VcVe2E/XsgRDazj+1m9MduUUOrojlnpCk/ZWbF63vw+BYPAALjkkUHoiTmwtnXk/GetpzGnf2Z+IfTf9+MrWJCY7kgdP8wSUzDPjCYQhIQEVlAU2IssSpi8J/+Hrn6PuCdu1sJp0yQH9ZT+cYDulQFokS1aE7RvbvYDwX0KmBDFeKG8KvcASvLyHVClnRRJ0UdQlYX0qmM6C+ZPJd+4OJG2OYnrBq2rnADc3uPb2bobsBW1OHdmjDCTKAks8WCJD2DuqSWyusWI/OspMDZXXk3DZEtxRwW1AWvj77c0MsXL+dDZk26scjeZkcmPVdmHwKg2Ynip5RVKCWMK+2b3t93weLA251UhUqhj3iWqMNwHY98eebAuQM9enHgT7yWxBTqEjnB15P3nfKfWKV6let6IERNWDZK8ESw59lqqdk6mgQ5uBdCS6Iu0NutRoK9MBil2eiQB4+dNjBKAui15hLs+Uz/UN5fuyTFABA7q35DaQpwKdFelhgyRFqxl1B+ScMT1S3pe3KYKXNgPbG+O8yT2AXWfzIy4W8GSg3rNHdvqOsGQ/e/spYb8rmCsTkhCeudomZBtdJJk9xGpBM2e2sr/ZmcHzCuTvJ6zngnJ2Xw1B7LrdienQgvxZRj0K0ncT0Og/Jhvd5RXS+ZPc2GX2XbMKPp3d74GdT3JOQEiApZceGG9v2KOqkk0nILhrpCIquF1vm848qu2XMZsbotHHlHpVuU6WaDjaIAEnqa1m/iMZaf8WoJwT2ipI35GdfbtX7B82oAnSS0ZaBYePfM7lnWD53Mk+ec5lF6jPET7WnuxtgnxlFM7ntIrxfQOqQJ8kdK0jTOrJ/QvGY+sb9pIDwPzrCc35Qv57Xv80Qe6yAMvKEULHA1fLjIosG4eyz6XDQncS3hCuaiyEPifuByqM+RMd6sgCKZAvlTCYA53bvDSkS7XsBx3XtHAH18+P2O9TZCUBsFdPTBlFTwqFdXrie9Y3JBLJCzOezrQG0JBKZSP5/NJiQ/wlSgKGfN7Rjhm75NusfPRDWRDQEnBkX0F52ZHPK4PzkykzqwDQaCvydUc+WzBmhkXaREKXjbCttJqCH4ynThkOp22FBFLpvNLhngxmlNyR9OyMoKYMHICpNqRtB1pC8jEs686EQ4L1CwuK8nPbQ+5zbYVs1vtRbgLU7Q0D1752CENaLlzrNlE5tgLsDxrOU8+gClQU7aDmlMktcQ80MquRaAnHLAXB1+HjbjM4BSgFOk/Q06sgV4QZ0jGZ47NXRSIowgSrjnryQ6OylC9eETMl1vqYBicayav1LXmvowfSB5Dsx+f9DUEcgwoJGfTMMivh0hM1YrMeh75Pz3oygO3yPbIkMwCmM5O2Fo6KIyqkMsHhVSys5rz7NbTfc1rRnW+DdUWg62QhrxwaQOmMRoLI4XyslOuJqIToGQW4V9lg5BbgxWsCg4OFEFhM2T7vSbAWlQNJdADanCPI5S8Q614PicPc7whNumnlGhIyTA7IjXMIYGDfho2TIOFDm6jcvUdHTObb7vLdDUsy+eUoF8G0k8SDrQlWvXQdpJb1zxnGrnW73HsF9p3vj1EcGtVKPUxoc4ngqRj5TCvZgm3T5StQt2JnumeTy9mRAJYwWe1ep4x2KExkLDv11ZyhJVnQSFlL2wadMmTivY/9OmMbiTZAJjC54wHtFTh8r0PwRYKc6bmiTQn7iefh8JEkZr7Hca52RX66MklTLfAvvEdohkxeXfHzOYiMJ4Iyk1Nps+c0GePnGtCo6wn3u5U3oAc9ohptQWq2Ip/3IA50QsA2Z1Zu92bokMokqU8nEK8i2TqF3OShamtB7q7AUQKaWQ/oTnw1Z9ZgnK0gECwAbqr9/kz1hBg/1CYNx9/3UjOQsiB7oGTZfJ8562zERGhYFXBjAhbbDt02kgXmW5QIA6shEXwg4ky2ilwH/RRIDtMNFpxqZnCw/uqedliYbCnPHQLvo3W2eyONWRR572dezB8IOVE7F1vDCCH32cs+oWF9ELQ7CzJXftZHyM0NgNJ/mZ+0VxyBPhezEX3DPZGbvfHkrCZgeZcBZJSls956EJxfoUWQBM2qveVlhxP1jUm+tHXkQ1qIzKh3E2qmbCZzbre3GS0LyqVhetptTnRDJCubBOQ4SJ0S0I6s6E6PLLxIyWgoQEmoRtC432XUg1giyW7Nzhb5g6QTSw3tUXWWQU3yvbuNA9xP1DnH7xlg1QODu3pkJVWzIhlTcXyDryUskDWdXg8CzPzOtHOuLRMGtyPlUiVkP+3KEWeRM9GewAQwPyq2e84a5Yg1yszxW41xUdMTz+H2jv42kKAJuPy8Au824NOE6VPC/qAoH8iqvLzM0C1hek6YH+ljrO/Mhhk6s56o69zHUABt5r0d90QypqKQ+x1aJxx+IGTY0SD7oGf2Uz9zaREcvxWcvlWcfyZ4+Z8uSFNDfZyZRF9S+Fz0XwSHb0nQFChBe3bNwPaO53H5YAdRgcO3PTHlAW2qtF2h1C1+aAdgPyrKi2Ay+PAYeDqjs84mC5YA299X5LcrtnYEkNAOiv2uIW2837QB3jvr++4+sf+sHqytCZShw0fa1f1oJFpH/snGUKyiIEmp+50I30KVBFZIgtNvFccfGl5+nvB4YOLu9JtkQT5bKq6fZyw/26lvnnL4N/KSUR8q0v1uNQZFq4L9hUqmHjlFRyeFnCqJwtwvHqrgm9nicuVhuXyRsXyumD4J3vwt0Iauq9/3+uOD3N2wQq+MSDjhQwbVg43I6roAmf5wxkn4v32W7mYZy0xL0EcSaA8cfYQCACe5SjsVhAcwzvYY8Bogemk9K+PKxgXYs069l4gGIl892Lw1FpGEHTL/wcJbkkEbJIyK95qkdb+hf/8R7FBgRrx1J3IYPwC8diBoCG4y2K1Zlsfu2ffLCDXUr6u4qaSpCHTqVU9KoxkY6ZlQP/vsWQF08uqrWCbSnRrt6+nBKgBvPvdWWM4NA7SoZVQVDpFgVch7efjzesLNengQLOPaWOAdTKhDxVSzQAyWGUy0/qoNaDuJnkphkOtEDyIgI0BfT0IwGlJOQeLRZoEuMjgLnn20qqtXjpygTYfvUodF9spRVEmbB7GCGI0wyoIF1Qnd+XdHJuBX1e9FbRQEOpGUQTWhGiywThQUECgL+INxe283twAAhD43FglTYmX1FYEH9+/WUL/O4vf3E9amXppOIFS0MrChLNZBqVgiw5IQXfEMusPWVj1JpwrdORs6OUGFOaDs2UWHciZ3mBBy2qaenEm7ZeA3EFru788dobCf1P5fWbERtQx91wlqz+jX8BWMnlBlIORJsr6Ow0LaDNGYm+GvWoFUWK0VoX43Zz9QOgCkES7YGudsU7aUI3gXoFydQdeTIz0Qcll2pvie7lVz+mxvGhN8av9PchkLMpJDShFVdRnOlBpxWMwa36jrfcwJ+5f5GSeSSmgoFjRHX6AhgcaEDiuor86hy8tuKAyHJnt7yvDKazMUDoPQSMzZ94nbuFdy3xOb9jvrPQRARmxBR37sjbKvr74rEj4a3wnbC2CYyW36nYGWw/YRQa+z47dZO5pGAZ/9rY3X8dm43DNEoODftR/7d0SVyasLCgR0f+YGV0vouIpzWyVNozffSa/4JqEu2XfckAc2hI2L9qqSIXO5JRUC4BBbViIbypkPwdnM3bAEWUqgaBB8C2nnuD+2dWgkx2/g6xZAOvO195z7772Bzp1uV2UA2E2kfd3GMW7eL0/5HxUdSIgJ2mikHnwBQDG0TVodOfZjP6evp9unvscOSY9Z2EPAXU8lnp+91BJ93mO7QBpQVv2mETPSm5D0S0w+Q6+XzEScsbL7/TiRF/kMUq+Qp6HVxE2Ejd5x+XZY6og2iJcYt0yT4Avx6iWfl5UrR0yNvelS+neELDSgCYNpJ2Fytu14T/U/2pOyp2P4NAD1QbN+UKB/JvwNS0r6OBwtGkz/EJCEUdy/AOqe0cRIGRuQV7Fglc/s/lzco4oF/ZTF6SlFsjFG7G2JDNN23re7FNfvz8H7m15gMgVsd/bzc0FNinRO9AtX6ckrJ0C7KUYhfM9xC6PaPsQe2VA/bQLWItjvBNs9oqrra+pnXiqI1lityvpAHxYCpAsNNufFArIk1OcJk5HVQoBkLNWaBhkz+5lXoO3UhS1rBIMAevIjkEcua3wGn3Xbz4Ld69qfN9pGwQTD8pYynRYiJOiDW1KnZWz3QH4mv1I7WhbdFzT3lfUWKedX8n5gAISiD+16kWxrnggErnYG95OdBbE47Q9DK/8TEE9drhwhNE8RdJGx07Khdwdm/HcbTTPlyJLlDQAUMrGcraUf6Hqk4i1nxfQMo2QnzKtcbIyFj1QQ9hZGAA2gnGuQUqStclzC2wltYnbIs2KHjxrGRUWAFzX4oPWOXoDTt61vsgjmx4b50zBexnuqvHcPMAVAaGV+WdlPdjdbZYLDjdNaMf/2uVPAqyLNBT5OoVxbGA31PquFfc16KD2YURNeEZJwAeA4pQM/d9lZMbiBqWVgMgW5NzI1Kh3ksYIBgL1LDzMriWf2a7S7OYgm3NHz96etIe2CZc7YTgxwt7c87Nef75BjhZ4zh89vEpDamMdVaAj2O8X+pvcaISnmNyuOhw2PP9wB387swzhSYy0JNu/PmCRFcPqG69PhvNyffFHMP6xU3CdCmHTK7EcEIJflhopf1w26rdBtB+7uIJP1ei0bv7vkSJy4c54Xys3hqSE7adkw28tJCmDZqnJhxlysWurJiGT9iOG4WnUeQCQdpKQ+nmPqIzq8ly3t1ptu1fqbhETtzk2qisPHauRnepNoYQZ+j2pQVLMqg1xZJv691d6Tr8qK6kyqPh/Vo3OBCsf0eNdHEDtF8socUIDPm9jnKUiIUThi32nQSnUH32Dlcn2lCb0Cb3Idz7ZZFsBl2dd3q0itQWtF8oBkynRC58l6xXuw5U65w9TqUTlncLcKz8YWhNAnRaOfpmWgPlTEKJgQPjoOsnWIu8Pcbl7CPmwGC9kqcwZ9tWAmHPucWOEq5caJ1OsKfXcPHGZg3SDnKx3Gh7vgVpBGXS7XjefA1nIqgrwJnMRkP1oFTA1GtXl/K53w6XE13gTfA9s3D2gbkJ6pb+rbA6u8qpCJJGROuueJQ2mIxBcdBa6jFkKSpxc1wg6OnynnykDWkx3WDuNIGzvK0DnTjiwk9MO2U/5ypmwX619uDfll4YdsBnc7FujRYe6U6XzdWWm0sXpeNaUDXrvc+TisATYsEPbK3vSHI9oB6mlCu0/Ilx35sUKUFU4k8Mxlr+qbbWk8T/myIy+W/FEwaTgnOvqHFBD8lq1KZT10RBwgSErkmgl/rBY4DUEPZVzhkEYkjREmaB4gmwztXSd5RYJyTzRKXhUw6K1X8uuUOLtzswvmzD+1Uq5fjcqSytFKsm7Q8xVydwTuDYk2JoRMNsuFB+5+V7Q5IS+FtsacSQARLBw+2gie2lnnp2dDDNl3t0PGdk+ZjirnTrLBOhdcP2RWMhYbL1UFaj27aiQyPobGx/44eshfLVugNAHHjw2nr6+oxxJkS+VckWrDdlfQDq5XmNCZHjf6Am7WTgXbXQl/CdZLC7HEw2Un8mjuLVR+zvKFUblXpy9fUncePjXMjzvqIWG7Z/WsXJgoyle2XjlJ5JjIzcuOdNkghwkObY5kSha0uxn1WDhyqpIXxQN2gCzn7U1B2hTTE1FH+r4EkZ+TTV2/NP1s+rXNhO+mayKRzpAU2N6Afs7MOaHjq325YjruWJ9npKdiaBOeD2/Zi8DOk99KyLM0wfE7xfH7yoLBbCROpsfyhXpaDzPqhzeoOgN/1+WxvlXsJ7bkzR+pI6dLn4BQJ55pTzatDd1HsNm09UT0ZXsyPK3y3sszcPfbiv2YsL5z35vB8/GHivnThk9/dcR3/zNFXgRv/4YoyPU+saq8AOmpIJ8NMlwE558LtgfF/CiYPxr67kC78fC3DYdPDc9/mvHyC5690z8U0/24Cfw0MTAKqP6QZOlM8Ha+1SqUL4rlfcL1SwaHx+/pwz39MmF9p9jfVsj7Fe15wt3fls7psArKC8c/AUBZSOz19AHY3jdMnxKO37HQc/5T6tjDDwnybWJP7kWx30nIcSP3K9fHemyPPzA2yRf6ePud+cwNUZkmGk+joDc9MX4SQ3r4bGbaIaI9tjsSpEVCTYDrV4pz4fmdnhhkrp81tIPi8LMzfvbuCX/7n77E2//PhO0BWP8nZxyPG9aloO50PH06hSTq6umR1fc2CbYPtIUOgeYadmQPYfjk43n5pZKIzDZMJaNcFfVVwu53vf74Sq5De8YRKg6nlL5pEhlkW0flZiSv6opl5Vw3RGbTMk719nMe4Ma4Av9cZMMGhR9VMftV9AeZ8LujoIRWeFVZGwhPM0OqkgxuwMA5vkcFKXsvknZn3XqmOrNro/MlrGKJggHuNnir1lfMe1NbComKk9TK6oAAMdtXGbiEk+0QzTEjHVW/RgG8bdMarg9zZMExKt7nIcKKkn9nSj+qUERFd/h/p0BnBUCBrJDS4GySrkzj9wLLtFoPw9yApBALco+HDQ/HBefDAfXQCEH3ETH2PRxX0isPt8Q4clvRurVFfd1HSPCP1qj9+HeexfZ1tc97xSonZj3ba1KRkWiqYZBVjfdExfjmHvyZxz1+tf5AOCTSgAQl4dX4kYo+k9TPpGfePYuugzx6kOMBbmsBscRuQu33GnL/ai19bRSEoI5VpVhPk+uovmr83Mmhbr5vXPtxXV7pIgb5w/+L3Pb//iEv36O41uCg+MtkDply60FCUp8pCLSDWgaVVVstChxajCNxRyJ6cBsQpVvfaz87rk8GAz/Oa74pTokrZP/38MvXVZNXLxn31GZKj/rOodNpE+SkMWfZx6k5/D1InH7icrcES8MbpOvCILKxdbiBxpvNUKsiNUjA74O1vlov8FYZpHoF1+clx83AIPI/oROSVfxv1s9sUmsGdR8qUWGPmKwaSdHiPcM5jHFYVS3x4VCXn9BNw//f5EdeVyUdnuqB/dDmoL/LZ/A1HnS522wtsPnDDTKRfbNlU/2WdfdWiTahy/uBTjOS8j6qAF4BHuCA/jxu7zRLn90uoO4Y9KVDjB1tIYmz3n+0ZsmhFrcP7dcSdN/l9R75SKC80nFnD7iviTEw7zDegqFya/rd13u0PSMvhI5nUvj/vU+3/xnhxSn0tTnzod40kmojUsavnyqTIKkq2VAdgWY+TiQQrYc5UHSRZAEUg61IfbwO78OSEHsLaDwwnF9f19e6P2bD+75wTTpx5yu5RrcfKkKUkJOHjc/dEEReQRTpyJFB3l77Lj59Q4uSxXpXO45eXEEkLOusrGwBTGonoMwVd8cV+5ahFysOePGr2JrpYAP9dhIG3Wb3r0MxBej6GGAicvCzo0o38Rm9BzNsRgWyUm87yWrI1CJoyrnhnmhFHdbH79Oqpb53yRi609YoQ2MVtd3+STtsTIz7gIg2CG+9aaVfz/2ZlhmUp1VQrM1qrMSGbch8lmzFhLDVr2TQ7837WUMPuG8Wz6oopaIlJntShU/ihLd1Uf6MbEwoO07a6X6utIGLxXqyfQSpo7tivbxFD7YvO+xc3Z5rfyaviPv7/fdE37xqp7Jrkem5f1E9WBvgJSFfEVBznRvmacch7zd+d0oNU67YkhUudnBWMRrSQWPUUsQtMDn2hKbZzVY61NvRQkQAMTZzFu3ge/kDXn88u/JuAVo4kVZBMUMUgd2UUR9mZq1Wc/wXHg7vaWuFhw0YHRI7NGvD9LL3jPqNQuqOuwdeXjHFATzNqRujslAKNHn1sBtVNjkjZntN54bjd4xM0kNhdfl5Q35a6BzNxXqFCEFL1z2qQtnnFdopSM8Ls/0ze9qC7TF1AiO5bpjWHZpz7zVUKhe57pDnC3A6QO5ncx53y/gVtBP7r9JpAlpDOlt6OYGkKJuyCuEBq1d0rVKApiS5etl7NcIqKqLGgHh/4N8lsYdpJ1RG52xVCVN6mcPUCemyzFQGsAmaFqQLxywAiCpWu2vAxJmSUIEcKo6nDSk15NxQUsO70xX304rpi4anNzOu64TzpxOwJpTHRIIC21JR9v1K7fKRF0A3QO8TNB/C2U0bHV6x9dGSoUOvopQMyQU4GHzUYZxTsbVrHCs0FWASKMQSHuwrKi8CqQVSUzg+AKJ3uSwtIFrhZDUPIOwmskDLhIBTa4t+a2ddVNuTbJA30e5wOfmHZ/QcquUQl7w2czD8cGmc5WDqrlZFEunwVbdiznY3T9Bjsepz5dlzuFtJIKkGq+DeWwsgnkVGh9Urqt5POAYas88aAQSVMGirHAURnTsAnpAZoMg+bDmu5zN1q4aNQElo2frWB7guCbaYvAgZ/33aNCs0V/Z28eFQ31TIaUeZK46nFQKgZFrUKTfk1PDpfML5+UCDUXM3klWIgNno0DUn9FjMQfVWDSUCRrNC9gLJzfTSUGIbiY/uDkQnXFfurxFMBex7JXO7TiX6GF1WHM4JkJ23bv17y4UQ+LyyfzftijZlSKb+kKZoRxvhVVvo0HbXMX9pbdFWwPdx/zjGyDcGHSEB1/OsXDhSorzs/WzBnewWaBoAcLb+tO6QcdTZIH+aM9QY5ONnU+4+R6LcRv9iJAjAoKGy+gXgx0kbZ5htgOgeNoK9iCkcjOgX3uhtsdpM3gW/t2hrsWDD9YiK3a8HS3GPiEBHFZCJOs/tpbc5QAXtYUM+VbQtEXoGOkNpB3RhqOiQ/f1dxfHzizFuU4Ucpg1Tbni6HHA9z6gXVkfJVSDd8RTeEx1ewWZVjHKlbHnlL9BcOZEfRISVWuAmmbV+eYd0FqTzylacuyPaXNBOPtdx0L2+JpYsc7RMXjmaJTgLANQLA6tUmcwCgGwBdlRPr44gYLCYqiJfOBKnHgvqHf2G4w+VPYP3OciGIOQNWd9KnHepwH4wdexJErsnacDhk+nXJLj87Ei9dWF1WFYmqnCpfRZwI5ooXUgo2g5H1Dvq2pj8MKyNQ95vuCGanTPtATBHADLQPXyqmF4E5aUirQ3F/eWmNuaGM2FhJHZI9Dm2h2ItIgfkY4FOJLkURb//rYXNjODfbFp52alXDEUB14+pr68zA2tCwDm9Qh+ohFmxvRmeH0A1/yUdKx7uF6gK9p0feP9wwf28Yt0zzucCNGPrVqDN1GXzI8nCxiDS56sClINYT/ucI4tQiCRJjxek2hFobQjSPVHaJsHLn9Cvu/9Nw+FjjVaQmKDQ1BJ4bCkI5MaDkaoeGpCAy88atjeGwLjwfqmLBS9/MuH5FxOWzwxZl4CnvxDIntl/e3YuHLHn4z+JglJWxU+8Z/cVX36ecPkiYXlPPRM8DA3W3oNIxnlAmxfg4R8qpnPD5fNCcsgEbPZ3zKF1Fu3S9WGdBBmK4/eK6VlwWQuWdED5oeD+17RjLz9P2O+op+YfVrQ5Y78ngmD+lCA14/Cd4Pi9YnlvZ1etjcEI3PaToFwUd9/YyKpTT5Z5L+7LzxMCpq5kT9ar6WSDG18+o/8UBa9BlrYx5kkcEVVPJFDb3jUmabwQNVekqWF/miA7zxze7Eil4elv3+H6/B5lAp7+qkInRdoynuoJdU0MRJeMfE6o9xXTuwumacfzLw7YHhL2eyZFsRTMHyWesc6C5YNi/2qDPGdoykg7cPdrgZjvAzuT+0lQx8kZv+f1T0I8BQBRbfHMtWWd1DKY3gPhc2oBRB8RAKh0Jkagl9098yQ7nZyAklWlg2VGXiE94I1Mv/1sEjh0xisOabcs0ViB8SzUwuZvkmO1cETSwRq290ZnT4uN5RBwDh+Q1r1DNT3j6Ip/2xlk1sYZnfZHnagrJ1Z2r5sx/GbYJEk6M7VyaP1ULDujHeJnvSdqxiDtsCCioR0m6GS56XDsrKI79cQAADpXzpY9FcK9/CUZ7WjXccZGdCXvAW7AN/Pwx+cQ2+BocUIdyygiKTA3pKnS8QUwzTtOhxU5KaZckUVxP6045g3zccf7wwXfXO5xfjxSEV7J2B3ZH8BIJgDPaImRb7QiQe6QrM80eu2GYCZeKQFS+hoaXDEQDMN++rnw6oiPyinmjHOeMp2c/ZTg8wH7bFOBOoh3zNg6dLEqRCvv1SG3XsEArEI6ZkzNcQECQgIRNPSqWtoUaekzbuNlDkywdbvT97oCCJCV1+BkJOJhtjF+r46GsOTICHe2vka5oSK3c+FOf629ImMOP8B78iAcqlBkynv170C/199VJfSXP7/BZpvtsRo8Nip7CQYhtGXy/tDfpXctGwmr4EIVcrfjeLfidFjxxd0ZALBrQhLFIe8o0rDVjOt14mNL4u0bgy1M6auAjPOVUDTv6XKWVD+rWgTej/Y7XzkDW4OuG2flRhKHB0iqJS6mYv2m7vXZ9QwaD/C+3DnxkVNp6SPSopISa2QMvwCDNrFkmul1VoqAJt6Dq/Aqd8u9AjFWxbxC4BDMIHtShc8AhqEJxp5CrzolJyhLJm9j4S8P8umy9NrwVg/80auGxnAfTO0NlO2f/J3JojleEYuOid2oOwI+F93PTiSWADr/DpP2AMKJezxggQw2whn8u9MXet+Dqalhmncs+wQYszSy3ugZEkMq5LTjy7fPSKLYG+X8bloxZ87z3feMrQlaLkCxs2SyHC/bAo4Ysf5fEZNNDWSX5kTd2Aptc04Q6e7OfszQzdYoSyR7RwZarsaPdcQ4VmxkCeeaWUAxVrc8AVKsv7MmZF9b068OU9Y7tlTJzmkKPkLG+2pVeiuV9wLyLAFNJdYrod+PJy/rMWE/JRRwZmr0mCsgQp8kerQ9QakKH33ofen+TEQc9LFxP0IRGRP+DcrACcyWFj3CUhtzpqsVIhYWChImkqZ5BbdwRmwrgnTwNU1B4pUAFgOGs4GxSux2cEgc+/noUGj0Cq75K/DSXi+F8/cHVsnVKoQ4NOTjjtNpxYe7C5oKlp0y9+aw4FQ2lNyI7pFw4fhvSxp5u4XDTZ3VVy34liqd0dr825iOYbpZ2tCiI8MfUGe2zL5Qf5xyqZjOif2ynjgxP1casLwVbG8EVWHEVLamSVEfGuodUJ4JO9XmstjJt/ajnwtgfcei1/TM+82rQM+InksveHCcmRpRlvWsKufGQgw+7X385t8FYs8ruejbNj81TJ9WbPfZxvMYY7adKTF7pFlvqrv+nflK27o9CNYloVwF87O1TTYntdKYx4w7thqkBchZMJ0V06Vhv0uhT4mi6xVLqUz++NSU5mdOgWXmnqXK1gRt1BGc7EnWbxVLCmi3hTeIp6G6zQQnExf1ZMiDpJBjRcocQzZNFS9rjnGdaa5IqUEeBXe/EZz/RNH+ZKX7WwVaBdg9yPX+24QsipIbnu4qdoCBtK05x/eZfCbey/HNgqseUI8JchZMT5x+0Ex/RsV/tAu/5/XH9+Q+3NE5NYXo7LM6TwwWbHxFWium3WbTHbI5wnaQV8VUm5ET8WesqPZele44GbFNa1BkZpib0jm27xwJlWD9sgB8KAadHmsmb8UNgWVIvJoWAsGh2zRolSRUVcm+m9knCJhT5o62Ba3hXJii14mERVIb5OXC99wdKdQWAPsMVtnYc6IlAVMm7GouwLs30KlEYD86mmS+tYqrJCRMUAui1fsi5cTRP+croIqkB/7cX82CPA8wAMv8p3DomIzgGtdDRj3m7vw0DYKE5V2KDGgy2KL434ORCWgnuObTVDFNO/7s3Sf8lx/+Hk0F5zZjbxmbJuwt4+9ePuA3j29wvcyQl4K0SHxnOGWKoPkPljsjm0lWufSexeR9pKqWsNggMdgOTE7Mcw/ujLiHGU+/d0t2bBVQq7g4vMqJznYL9lz2KwNhcblROvLw3hL/rKbof4IZ5EiijDG53I5t8lETPQhw51+D8dNHAN30RtYBrjZWUP359wpHbfjLycnQGtJ1v/ld/HtvBk9pnbzHz1Brt9VzcPYkMASkScJBuelLtH2Djdsa597C/z+g9i57qb9neCkEkFs8v2wVeas/6jmT3QMoQOwMMJnDy+gmIAO2rZ3JJQQoU8X9ccX9vOJ+WlBSw30hamSpBbsmTJmGZRxZZDfJ/shj/1GSzhvA5KDdo8GdYjaxCOR4hO479OV806tIXWJZEgxrFo46+1BRcvzOZ1JyTfleIgMAHQgoPDAPkqhX657OG/JYxYciVZ5BzvGWSLBpFhtTZsnKiddz1thwEo1oz6vHsmuvkqLRIbbrSa2cGwtADpZ4qR4M9+AP84RIvCzbTYKlP2u2JIQFCAM5jGZY+05fA7VkoviYsmTM4NOwB3tDiupu74fkA7ugDkkMT3rtgzeQ+/pJU+Qz74lMypZci8/xNKaqliggCosDTU2mfnvAcpgo834NoSOzvQUARXuzI592vHu44IsTg1zenvIPFC/TjOtxxUsT7DODh5G4J2TE0BrNeq7z6hWtBE0zZG8o5z2QOdhMD5WCkXhq/rRC8xH1zYEB5t6ge0O+7EgisbZq9jXVBtXeW52qEl7t8jOw+ouCTPFK3yavff0DaeYoKfvs/sCH1WKtDFPCft+Jp6TpTZWpXE1+rAjgTmy50iH0NhkmvqoleBLykhhYGnFT6PzaICoRCAJAfUcmx7Q3pE8L2qHY+D1wPZrrFvMxDBXgzN/wZLjbY+nPkhdDb0wZ+92EVBvymYzm6ekK2SvqbOOLtoZsUzPKmZwu5VyRlkpfMhEf3wptZVpqJJa9LaoaqiFtDd5L7LOPSbQkoZeaVW6lccpHmwiNrRmQVSBbNthyg4oCUyNXzNSQS8WU7U+q+Pn9I5IoExAATvOGl9OOtifoNQNVkF9ITqmFY3tG6C0gUblT32uXQdvnNmXsX7xBum5In15wMyf3QDsv1ie/35GBf33HPb58maCZqMDjR7bPbPcSCUofX7QfGRRJ4xqUZ/bBbm8a6kOD93iK8hncr3ao8Pwr/mz5zILGtQcu7oc7SmR6EeBFsJ8U9eTVWj4Pq5bmc1lh4/CDBq8LAKwPYj3GtIe1Acv7jDYdcPlccP1cML0Ap6/5vMvnvLf9DkG6Vc6IPvsxKTy9AMevM6YXBFz98FGtuCJ4/BdvUK1flsg5yhAaq8RpA+5/LRGocWQpv2t7EJy/LKYfeF7S2ouCyflTrOWnHiUI/5zU0ZMk18+FM5KfBNMT0A4cEUViMd5bNsIr2QX57MSyEyv0f7ahfHmmy9f4nnouaFOD/tmK9U8Fd+8u+Beffx86fG0Z//DpHc7nAypmtI09VM8vdFLSp4LyQnbldpLusyf6MWr9xss/3mF6Zg8zlPtzFcHxW8XhkeS5+dqwj22ev+f1x8OV707QmiI4w75bFbJ0Qw9AVpIf6aEAcoQWQbWxNmlrdmAz9hMFKi8tDASDWkQ7WhDwJOYrRfkzJOEoBelBTksSrHmvq8SAGXuD2qVBifiLDd4kHpl/WDgapSS048TrWdA9QjO94kayHY0gFyVDpUBeLtDnF8jxiPb+ASiEA8paY3wHVCEOGcTMiuuUAx4NoMMSIL2PC7Aes3443ZC1OQNzZrbp4wZd1nDybl7W03tDPOWBsKUfPWNeD4kZFzVHv2lUzFUs4+7BQOOhVQ+ozCnQZErLbnSedjwcF/zn73+N/+2H/ys2Tfjvti/x0g74/y1f4oftDv/N9hWev7mHbAn5xebUWWDoREquRADLtQzM2YSuWyJl2WkUa8VNP+mQEdV9BybtCQAAvc8ZtxXdbYf4OJHETHgrnojQbpBhwWbr8h09WMJ1jh4zJ1bKDtNEv4/hRfg/jXedjQU1e9BjMNeG3jJwJcmUQ7gAJqRka0jLFhDkaD9w1t3aod3Rn+2Bz14DFh+JEgsyZXsV/I7PodorWiIMeMvwXocdp/5+APBRLmKBtwKQPfXPBEQUN3vnvesRpIwvTyR4tWW3/s1Dxn44INhxBUHF70baDbAoA191kbH40b2pMlU8HBa8mRc8TAtOecMvDp+QpeHvrx/wtB2RRZGz0j83+Yi9LiyeOTyxiRtpjh5KNv/YnVnZah8vc5iBfUd9fkGtAxd/stT4uB5jgGd7rEas1PfNP991UQNJZDh/1uD0qevcmz0EkK4r5LIwQXqi0x+B4WStIUOQ2yZCuurMhA77fp2oxOzI2pjIcae+tg6598A0MRkly87kIwBZjaRpKhGAeiDpujAtG2BVYXH0TqUdgs1d1VmARPIjbISkhh6JxE3qiIzF7Kj9LOCIXiXYNKq8knriyxOdI+t+BKJjlTgNSbemkIud7ywRELh9YWAnkJ0jSrzXmkEQ0Senb4h22O81yNZ0IuxN7yukNHx4/4IPdxe8my/48viMSRpKqshouLQZVQXnfcZyKNhqxjY3NE1Uv54YQpdxKONVSRxPlwuAYvNyt8SJBWaPZd34HcVLRCbGn67AZ0fsdxNH822VCYZng8kfJwv8E0klq3QUi5qjKUBGIxnQlKyHz4Lb3ezL1mJeNdeWiXifk8skr2A7uu5lAF0PCcu7BG+hcjhmNXIojjJBJM3cdqRNMT1XC1YtoDyzxSAtqcvS1gN+AFHBdcSMThn7G7Ymzd9ckJ4vwPt7rG8nvncFRBjoByrCCwxmw+h/JCBZojH0BXhPW0X77A77XUY5A/P5SkK7lwvt7Yd7tClxPOK6I+0Jxc5EPm9WNZshxkLdpo46kK1CsliVrRc6Qq4HXVQtyPXzooWBYLlwBE+bOB5HJhhxIInQ9KiQopjvVuTc4vHmUnHIOx6mBf/Zw28xScWvl3f4tJ1wLDsOhw2bFGwLEwblQobi9a1i+6DIV+Hs2cGfaTsLBWo+Etl9ScrVDhnbwxHzx8Qgd9Cp7QCUTThzVRjI1aOivtsBAa4vHK10/E5x9/WG7SHj+pm3fyh0Q4xCYhGDAc/pGwZUz3+W2HajbBtok+D6RUO7r8jPGfkimF4Eb/6+ciTQXWLgvdI2bHcpAlwfLzR9IvRZ3jO5EAgdZUWxzRR4qWxrOH6syFcNEkP52URZtAokIFjeCfZDxvJBsHzWkK8Jd7/d0Q6C5UOhjcrALtYCcUagFsbkcnlRshXv7l8rjh8roMD5y4zHP2HLXpvp8959rShnrst+EOQVePgV25ZefpEY3BnacTe/0Fs0xNE1nug3HzfZ+NPVCPnyghjLNz0zcfD854rts4p8LZjOijUz6OVIVPp7aWO/dVlIbJU2YH6mrvrtfYF+AXMq6Lq0S4ZWwS//4lv8F5/9Gu+nM/5k/ohJKu7Tgpd2wH+d/nP8XXqPT1XQrozF9pcJqILjJ5Js7btgU8qA97PXEyeolKtg/kR9cPxeUY/A459w6sT8STA/VkzPO8r3L9i3P2yG0B8PV94rjXiySt9ER0QsMA1DnTNwtN5cU0rsN1VoSaiF/3/DGCr8WVOyKksznX7IQLX+JDMSY9+GugG3DLQzjnoGYz+AmeLBKa2zAJtifmrMEtxl7FOCkyKIomcmrS8CGwJ2rFmAXG6dJ8v2R9VrEquKZsg8c2SBjXkAwJ8DvRI8lZ6Nt55GJIOxGhSzTdkUYeuVJq8arrX3Wo2vqsA8QXwGq/fYTWT4xD4QygBRaQyInFU4Ago17BcAqx6mgCNE8JYpxLqCVaZmMLbskHN+9Wne8PnpjLu04qr/f/b+pOmWJMkOxI6amQ/33m94Q2REZFYlqioruxtCNqQIaUELW6SFTcG/4JYbco0dNhTBhvgLJJf8Hb1gc0ERAo3mgkMTaBSqKrNyinjDN93B3c1MuTiq5n6/iMwuYUKwSg958uJ93x3cbVBTPXr0KLO3fnVSkEIlMlpkTc8L1rpfR/42YMeWvuHS5NVo7JooTiIx0vn3Q+KKKrwJbj1rKNLW+3fou5v/b2BBC+rXl/m9eCuHBla0rCnaM6o5D4hoNad1IGW+jBF5R+pWHuzwHvj5nnWQIohWz/OdNkUFCK64Clxlh69ELrzFlYu5bOmZ1ZGl2qjLkGpZzy0HSK/Hqo03rgJYUQXcGWuZ4+04Xwdi6j1d/fUt220AgWe9PTMXv/9z2pwFO8iCkJaGeBVAbFs1OWXRdQa0KS4bpU1IhWK9MGuORCiOlKTgTXdGZ5Fi0YC5JlxKwiUnLEtEmQPCJTSF5at1DXeWbZgDv6tGabTFq0u1sRYkRkjomxy/ZNYQSEcww3sgb8emZXBdCbmAazKsGREfH7Wf+7pmXR5J6VII5pAGrOaA0y42GrRlMmsfGUh49isApeP6LoPRNxXwhetr3OeqCU1ts5qbPdtYASm230lVaC7GDNgANh40vhYNBFZ2hf8pSsc9b9rzmGBVoyRvbC4y28ixb2AwJ8P2qQi8ZpznrkLgyiq2pwzM2ga77W/vhx4cSFv3gP9cMpoYV+mSUXcV3gIrRG5TF+sR0x+Jk9tSoGZhxiBy3EoNqCoIotjFBZ0UDHbQP+UdnvOAh2mHz8cdpkvfxEi8NtfX9+s1/73rWmBlBYmlQz5nDWWyK5f1jFOs9bqWuXXQMpQKufA1XHtbkCUw6BRgW5up27VfN7bf1mKr/7RnUaABtBCCkti8Po98/XKwQN4Ea1g6ZS+rmz9NSFCv59+BlSCoAwF4ZjbrurcD4KjcVvjJga5gImwuWNWy4K2doRoYgEbBbmteuPdRfM9z/VOga8McGXqWZInA+7I3MU1snisEaEcKNnxNWpDqzARR2lhnz7QAfFPjLM2/4X3GSVtfb/cPQ5aGebPcCpBjApJiFkVIin5YkFJBDBV9KOhDwRgWMhVsjV9ygqq0exJlO5jSSbsXbNZRW9qW+QOkERIIeHOenPbN8pKuvW/3G0F0QeRA/4jBMl3/4RMD+Tgrykj7ms7aWrXUHpv7kpUib/cZFiCcI9KJ+jV5sLHyMQc/Y7ojq6+Man1vBcshsK2Svy5x/S0HAy5dodrmTuF2XVZ2AID5JiD2tEFSHFBdXQ7WawPeM9c1Wpz67u17aocr8UrXM2FLr7X8wOvduyOD2+UQjDXHeyW1XBGUdmxt/SStJVZcqOYcz8Byx7pYKSt45XW2IRCbo70BIzbbq1t9hGhAmGfGpQAyM7A9fb2qKovS/0BSLLd8bViY4ZfCum+pijIoYg2QVJEPymTNvkC6iqUG/PJ8h0/zHr+63GOIGe+6I6oKnpcBuQbUHEB5EaMxK30hPoeiDhWhmIaPOJBSIRogWVpCUgqQXlZxqjIGxDkwnqwbe/47rt+frjzPwNhDx761UpBcIccLQlXU/cjaxSGipK4VZbOon0Yz7wR5tHqA2Qx05WFQE4iye4bQxAvE6WLVMmUmelR2TmepEBMqyTsu6OVgG93oAXEC4tmDMkBnIP2ioPt4gn59g/k2NOdVsjZDHi6ZdVq5MNuaIsq7G9Q+Uc59NuEmQ0XldGGG6e7AyRlWHpZcltUZ7xKzGMAKDAAMhPOmjheAo6d1IKWn+3xBeDpBxx7lZuAGPU7Xzj7QnK9yfyCac8nM1qWActezFug4Ux3UMtAegDJQ9YwksyFhApKBC/mQoEkw30YUQ1WHz2bURn5/Oppht0L5MgiWpGuf4lDx9eEZ/5O7X+Gr7hGfyh7FTvyIiiEsuI0XqLLpt2zU8BbbjGIZrLCQ/uD1D1LpQJSBTqBU0kjLZHWHZUBoQYxAy2rxZPNzLBk6TeyX6zWLm9Y0cEDAqbJYgxDP4MLGs1ovyqQVqfWkrbYG7PAOsgbcQaAQlB3XSdknlD4gHwLmG9ZvldHoykaFiRMNeZxJ74O68FttIhaoyrXgz2iqsavq66ZmGcC2IKIFfsUCAm+xYq+TGNcs75ZO6Zlwf95kJ6tfubBditclcoE0Z631jPbPTtYCKhfINAMxot6MK6PkVebbgysBWo1/y4ylNTPmAbT/u9VCRWmN2MXoWmOmg1BcOGKWZm8csc43GWEoCEExlYg+Fvzp+BEA8FxGnGqP52XA52mP46VHeekgl4D+s633TWDtQmWv1SRrB5QqwMwDcIvuSy5Qy9CH3YigYe05d7oAuxug33HM54XBkGdwu9QCTQYGNn4aWjbFA9t2X0Cj6VejGcepsl+s1bVqBfQwIAyrg0ZngSDSctuRMWLnAO06A9z5jkhwPkjrCzh8VgQnZVgWMh7ndR37/AMrCwdo9tdp73KZ4foEuhvs9RxPOV1oB7qONn0b3Ham1zBnyIsJwXjW2LO02Wy7ladIqeveCQIJgcGrB6KJHoFclnbuqAUokg2MWfj9tU8WTFtAE6wONVkt18KSCS9V0ci2TOk8I75MqIcB870zHYDYwIFA4kRgmRA5eUCYgS5s+ucOgqlj4JBLwFwiUqj4onvBEBbsw4xFI/7t8Qf49fEOv/p8h/njSGbOxerLz2gOqK8ljWuwuw0GnM0AgG15dmzRF6Z5tTsbZTjJ1pd+iGRiGTOs9h2B8p7jEc8Z6TRD+4TlrjcRNz7/cghYdhTvS2faUQ9WKuyM0dXeqayMstIHtjic2E+8IsBBfdYl8gyrHYWmagfMb5gtT0dBOlo/3sbQgQl0EszZMrHqEAHEBrTULiDv6Mz2j7NpY+g6TpaVdsqvqPJ8K4p4Mn0SUz+WS6aP4/XqurImwnlhprGnQBRETCRKES8Jwc6XdMwNfNIuog6HZq/jcbGfM4nBM9UATQWWfcJ0HxCyYnjk3i5dQI09XGiNCtNofgJ78lqPY12DEK9V7J9pQ7z3a01CP0eNatkpwiQYPnG9L2dmHJcvFLthxpgy7voz7tKEm3hB1YAPlwN+8XjPVpke5BpIT3DeWp+Z79KOQb/vJCii0AwABJuiaUTEC1mSUhS6H67aQX/1L15Qv4jIewLgxVxP1+IYP85Ix4zp/YDz+4hQFLuPFRqA41cR+cAgy9syJusb6+WD3ZE2YfgE7L7NyPuI5ymQ1m2ssbwHXn5sY/S2QqNifpPof6UVtK09s7TLPcEqmQXxQhvttFwvv2Hfde6149cBobBFTVxI+63m+3h2PlnbJO8ZCwHmW45f90K68XxPWvaWOZIurEv2PSiF9Ot0UYy/OQMiOH15g8t7o7sXQKIFzMre2P1zRd5ZyyQvwZwU95+4th/+owFloJ7M/lu2iTp9FdijNhOoKYPXLCsuAwChsjTbqQG7z5XCTXdc12EB0jFgflegP5mwHDt033QE04aKbj8jva1IqSDniHlOqEVwPHYEAQ4ZpQjSkIEvC0Ks2A0UgT1OPf716UvkHJGXiJgK3t8fEUXxeB4xzwmYrEbbk5lwu8e2c3pTkHUFm/J9RrpdsMSetsqAiDgr9r82cCYD0z198vScUMPqK/yu6/fP5G6c4CtRDjHkw4yVi9G04nBDOqs5+qUzlKNwXa6F92jIdGs4v2wQRruaqq/HGcFrLoCm3psY4NakdngLQgLR75YtMwffDo61TlfXoMXqCZsapz37tsbMxWu2fUZJIbKaq3bj9v6w1ri1y4EKq8lYv8t3If+/9d6zDKMsG8rt67lxZ39LHdz0ePXaGtZdCVBcRGN9PYBGUxLwNdKEG+Q7AhR+qwBag3px8RwPQKMAVVBrwFwjpprwXEd8LDdYNLa/X8qIS+1QaliNURtfmDeE5hit9GQ0xHZbG7TNWL++vtN+Yzum28zu6/f4+DY1VGkCGdvWTS4msVXAc5rXd7IVqsA2APTXb2uLDDi4+tsK9ENG2wtqNXUqKxNBNuu4ScPXDcrvQfs2y/1q3LaZKsJzXuNcrsS8Ws27P9f2c7ZZ4/pqj/2u6xWI04Lp1xljuXY6OU+sR/O6c8/ErFldrJ9twSQsi7utlXXBrwCQXubr0JwrcTGeHKBJUUrAtCTMJWLRiKIBL2XAufQ45Z4/X7gXidivjnzLQBgN20fHE93f2YMtq/1qTMKrF2/GTvzDfLzC6w+1744R2hForMnX4StAwZ3TgDa+7sg3G/n6vl1LIMmapRZBsRIUR89dvR3gd0hCO2e+77ra16/3sK/z7VUKg3xnb/y29dhsw3fX4u98bQBcnHH7ymZLfHzsdQ1U+x2f34BJe19rwSJWCiEu0CTtNfKd+/f3mZ0XwOlzBMbQsmdBObduOjTAnHhBKQFLiTjlHs9lxKIRVQMutcPLMuA498hLRJgJ4njA5n9XxmjXwa2uZ0qz8bra9Cv/oJ2NG+/fn7Gsz9yUgbdjJ/Y7y9y2GnC3twkoWB11X99BjQkgG3q+2Y3rFllb++LvX+2zg/JX58TVItk8uz+37TXZKHB/d4HYX16frtKA2JWpoaudf8142Np/Y801wbPtuLu/o2E9ZwBmWzU0BsHVtWHj+RgBINvKSkTWto9odlEDj2UPhtXKfFq9tD+2jaG3ZvIzudly9bNspTGzxMfOT5F1fcLsugKqglwifRMAFYKpdigacMkdliUyyK0BNYsxFmS145s1cTVVuq6L1WfhXLm2x7Ym/4pFFqSVZqk/vPtDStZD0cSA38ZEhWNXBtN8sPFqrWwUTTunsSEj2v4IWUy4FVZCoIjZFrQF8M1fl/UzPSjWriAMBVUSarX+8s3e+NyBLEDh3lMfD0Hz9wkAkA3SEmaK1p+4nT++xDefz/6z0ujDba25zQNQRhdftPtvg74Jwo0hELKtW2dHbM+PrV1zIMzGvEa08wxiZX2mlN3aCwGth7nbHxfrBdDa9zS2SBHUElEEBICELAT6I6QkS1CorWOFjYXSJ1iWhOxrOQcUAC+XAUEU05RQMmn4W5D7O5coEBWl43whKaSh0mh+gZc1tjXmz9pfdz/5XdfvH+R2iZSty8xgaSJ1WXc9/+5ic8Qb9a/wIefbYM2tYSiJIBq65iumO1Z0xmmvHWsvh8/M0lIBsKLuu0ZdjhMXT94HlC5i2Vvt1gAst6wV8l5gZcci7HgW7J6JuuRDRO32EAXGjwszABdrOVFI55Qps9bHnh8iCNMCdWqlCI37ceZBN1C4SqaZWV0/dLcZknboGtUz2Tg6bSiXq2F3Q54eTu1HaoIo4fnEz9wxwy5LWWuYu7g5zIG679d/LxXaBVx+MEKDEGm2zbnSwm2zZ1OVtqv2pG5pZGuFuCgu9wHLjawHal2pLmXc1MuejWZyiihZ8O++fY9vjzd4tzvhjw8/xLH0+OvHdyg14AeHF9x0E05T16garoqdTkSwnBYDkMsfsqB7sYyWPUtcFP1TsXrwgrCUVhPYqK8bKX71YKsqaeaWjW9ZzGpW2Oqm65Aw33VWf+W1g8w8bZ0av+Is1JfqBLXvKKByLjZ3tfUN1Ja93PQpdsNu9M060DjmG2bR44VGPnZWm9sBoQREobp0nO2UMBBATitLQS8TpO8siyVr7f0WdHl1aZeADpAlQy8TrmoWbV23OnVb89w2Pu4WXDst3N/3OnD1f3sm18WsUkTtu2uHzZgHdde1dhhOC/esOPtP22Fva92VLBuoEKRl3+uGFrWlRqEQ6d1e1Z3jXgCJKH3EeQ6Ydh3+sgZU+4Bz7pA14NuXA6apw/LSt3ZbIfPgamIx2YKADtDduqZIMXUHdv1Z9XZMx3gd3G6ABb3ZAxrWLPnYX40357KSPpgCyq7D9MXQao7Y8kSwWFY1nXWluintc5x5WC93CWFR9J8pFNOAxGDMnGjskAjWRUbBvBMi9T1bINROsdxSHTI9xybgUkaYLQJkNprUmK7t+BUIaGvQWQUG6kkQKk5XvWovBhGWfHjwO80rkyMEYKR9qEMHDB3BzZnnCHLhfrBAVVMABmsNViqwKNB3qPturY338QeodzG+QrFf7UNvNaQCPmswloj7ERbc1sE9BzpvmgLK7dDWCgQoOwenN8GC0RVT9vWtcKV8rwWPZwYy08uAhxJwnjt8PO8hAFKoyDXg28cbLOcOOCakC2sH00nMntM51MFEqDYBTZy1OW2lF8tgMsufXhYKGJ1mzlku0MsF2ybl5c0BSYRnO3gOQtXayFkgkzg++YaKx2zlY/Thjb3VCFx+QL8lHXm2dEdtdZC1N2dR1jlc26RxLupg683ay+VR7ByjiE1NphlyomBLMADA27/5uLQAaANsr60KN0GbfY+cF8hlok12NkxnZVObNaUdS6visaxrdvMcMmfEzJZ25a6HVrA0ZrN2gwDxEo2FkaCmlAuhkFR8tjWUwqrOr/S3wvOF998nOOiAENA9zbidCkofsNxGlCHwXJ8r8o4ZTF+vbI8kTJL4Ouj8TN4GhmYvG3gGdM+2P57Xvq2eOCljhfaKcol4XvaoKrgbLjjlHufSYSoJH497zOcOOkXIJSDMgu6JXTDYLsta9YxrULs6+zA2IiBPQmXsqshjAEa388qSh/la8+Lbf3jA7WNC/8gxmu5DCxg0AtMbKiDvfiO4+QX1Ey7vAvIoePmTCrydoaeEeCTDIliLz/lObXwUta8o+wi13rHpBIQ54PTjjOGLM5ZfHnDzcz5TWKjWGye0JEcoAC5A/8B9sHyZ8aP3j3iZepynHpfHAf3nHnEiO0kDML+tKG8zwlPC4eeBKr0z90PpBfO9YngQ3P5VhQpweR9wGngmjR9grRT9XPR7Y2ebvAemt6xRLSNFwboX7mnfc8te8Ov/+R4QYPyoOPyqUnn5lqJW40e08pzpTcTuY8bul2fUITV7cnrbo/Te5YP3cX7ngBptQ96TSqzR4qNKXxFtnPm+p7/HbHZwtfeFxjs9Rixlh3QM6J/ceCeUPkGLyafcVvRfWxxRBMgs2aiiqKeE+BxREvB0lyGpQi8RsgTgkLG/uyDngJeHHbx1EIw8Wm4q1Pug2xnD9S6oE8Xbzj82oceuotaAMAVS31/Y+qyMgsefBOQbxfBJ0D0plkPA5csBeb4+837b9fsLT1m/vyaWVCu079a+ko5cyhrs+OVS+M4jZzsOvUI300Vadqt0rOsRdwYaSri2IhIToPLDqHYrsqOdUU1mTqZGQKJvDncYOcHpXNl3r2rrQXiVTfVWM+5oF6upEr5fjILGQNYCsnOGzjxoZYvCb0VIPHtWzaEEroOJ1w7nxHY/2ncMuL1OzNU5vfalSgMbrpA+z5SUlcZXxjXr6JnXtTbH/NAUILWsjldYqQeuBuiImKOtsDjQBRU02IYsYH3zTFXo+dTjsQTkEiCieJkHfHi4oWy6sHYk57g6+xWQKk3mXWVVFYZLwm+ymWIHiPfHDdaDlaJffCY6C1tqAtasZjBarM+N/21ZFrUefBxHtHFh9smefePsODV/O44iAThlbHvUAhxH1h1rAx1adqxR3dDQ/9oT1AkzGpUwKFHMYFLu2/6RXq9Jte+F+3rbUul/LKPqazMEq6PlfbY2QdUiMAcMPMMSwvVY/l0zuH5bIuteEWMj+O2orkCR9CtLBO5QbIJbB3NsPirqFcresrxbRso2w7kJQAFb20qiRql0suJZgKqoQ0CVhHPX4cP5AADINWApAZdLhzwnIIdGFdvW3Xk9HhFi+U5G6KpeN/i6YRbBHdrvHdkuQbOsdXYpfvc1qpbB5Vpf9qyt8l6eeWSJSEzYCGjwflw0Q8WonX7LLnqjLkJnYxzR9rKaPckHdy5JDa9DZX9tE8MiQ0KuzoVtdp7osKmV6qu13/69sbNuL7fr0wEZ/13O6xrfZoMd3K2mU4G6rm2rzW3rdVMb6XWhUuoK9DjAE2ILAlog8zrIfb0u2y/WNQ5g1bswNlBj7GzKKjxLwO9ZP2dLEQ6+LBRsTWb6GroIMAfkGFGVWV1mD4BaBfOxByajKFv2g72eNwHc9tHsLNpmvxrAZDWiYTZ1XWvXp/MCvUzQuukf2jHbINbxQVOgjViWNp6qihopPEVxKQtI+82atGBoOazO5TZIAdCU7a9YCv5MXg5h61Z8LgVry6GkVFVu9OTvjoOfI9/NYGMFbiSYnV0DI3F/IcZ1vRgAckXr3wBc7uO0y/2fXBprQILb+NrsfNObgI/fhnlnZy57lXv2G2trqyUTBPDvFpaghMUA4JowvUmNcgxwrlyoKy5Kn+r1JWvLwzZsFnhXYwJK5fslA7rpja4WkDJDrwwOloB5lzDlhBzYCWKupIPqEiBTQDwxcHLqL3sds5SjOnZl99B8Lw/GBNb/WJtgloOuItKCCb+mN8DuIhhsTZYBV2yv+YuCcLsgH3dUUnb7vQf0kHG4mXCqgjoz69xqKHeKsqsUhoyKvGNCI7Tn4T3fHS74kPaIFy7udPaEFlrCZHs2aABirLgbLoihIgbFfEkt2A+Z960J6PYLlilASrB6W593MJlVBcNDQXWRpz3QPxkAvbEdXn6Ailbi4iVtxYShuiNWVmdR1BQwvVcLcsF65NFA5Az0L9x7DoRLVgI1GIGbDhoEy279fGciFKu/b6C6Z3HdZpgv7cyCOCuWA+crLEA/X9uFsAB6XkEAwJJKGe1nGgO0bRr60qqwNkUMOlmCQgE+magNUneCLhbUShsvS6BichbUwdoSAZtNslnPCiAqZCiNcVJzWBWkraNOsRKBfKhILxEpCkpHgCdvbdDvuH7/TC7AAKvvaOQsY1MH1mE0Ki1gGzNgvgtNZrt2cpXVgzV27p+5memoc4C8rRDAiWniF5X1haT2hIaYeiF23ll9oqs+Wu8z79VKdVwLABZOR+0EetMhXgrCmXUnvD80B+UK1QfWjBTKmvHatNvQyvobHbqWdZVpgSP4alkM3THjEJ7PdDw8yLC2NQDWGrJuM4ULA5J6f7DXWF2tj0tcgQcAaEqPKbS+hE4pB9Aoga/Fm0QVOURgt6L97YBUM6AhNBqQb7awKLqTzaEGpBOaYQ8JAOgsL7Ng2Uc8nDu8HEfUKqjWQP3b8xt8G+4RnhL6h7BSNszp9+L9OK8OMmC1Nb0gnZTtFwBMbzvEuWL8xjKmuRi11uZ04zCIZSBbEGhr0DP5FHUJqLuEskutRhxCY1Y7Q+V3q4Fi1o9r0ek+bP1QrQ6cwTedBhdwWzd2o/F30g6mmoB88M9TtNY1WJ1S1pVY5mMqCKfV+YMqWQqlAjFC9jsGRVsaMXDl/L8W3xHfC6prLXNnp/eWVhw3wcBr2qUdOo3x4LW4fo9Wv+h+wJVKeC7899ZxiQII56V2AcxQ8UAhoCPNEVvpXEoKZfFe1hY82KHozj9biqyAw5bWFBY66zWRclwKRU3YfzGgngPyKeIXzwMdpWDe8IWHRncUdM+WuZk3zn0FEGDsCRuyAqs5Uus/Z8izt2Fz578U2holM0BfB3pGxSeQuPDZI7O/2hnDpIttLMWC92ItGIq1m2DbVNrY/lkbmOhOZzqZGFNk3agUX+8wVeXY2ti4GA+VmoE6KJYbJc2pCnBmHU+19jNtvauPDZ8fDnh4QFs3a9VrYp1hE8IaYG5qctu1ZKAaQLMbr9eygaMts7KtK/fzcFogOvMM8YAiBkjfWdaMGbZ6Y9/rQGutkIsBvHbGlJuhBcVSKUiXD6lRUFXEWk5Ic+JbRtTFFSuBvzhXm1u+3u3XtlatgTfOdDAT4HXZYeE81A6Yz1YTOCjOO9pxmQNQhNnbwuxtd6SDmE5rp4OmVuwiQJF2udV6L641oO212kVqXj5V6Pm80pRf03atrRNByQiJRoCzM9eD39aVYQFqVehh0/bES0J6jkPeWYBm4xNnKpcq0OxRy6IWbe1B4sT+mPkQsewDloNYyw/fl8ZE66mSHC+C9MKMhzMmCAqw5tZ7SNNXMee7VISZdbJiLfOaXsjQk323aXXVxszON1kAqswBTXTO6sS34Ht6oTetfYJ2h8YqAKiqTE0F6nfEU7b2QHVlmVXuVReu4hytoLI4aF+Bsuuw3HbQyHK3CsHlXYTG1MBep3SGQgBfk485jWhYYAJ2tC9rQKCtbrea9IafDyErMJnC+C8Jeuc9kyizjvjL/AOEUNEPGbUKlm936J5s3s6rDwC43yWtB6ozIlZKMhkC3TNrSsvI86M7VTIbP00IjycgmiDP5kon2loVBq/zG/q9/ZP7Agm1Sxg/2ZboBfM913P/qw7Lrzr0bd+vWex0FMvKcy+mo2B4WH0SDcDuFwmfH77AcBJMb9ECtOhJjmjZ8sQ6zfmHC6SvwJTw//nZD6E5AAttxXKrKDuqUFNLR7C89OgeI3YfKkIBzu8C6kCQ7PDzgDgrzu9Tq+f0Ouv5jn7g8EjGxPkrQekVt38NHL4pmJ8C+ieea/FCm5JHskPjZHPQUxAJADQyu5gPguXG7NQTn7eYGGo+RKQ3e+TbHucvEs8zoCUfHMjw1lXpZO8fCApUO/O2PgbgjIY18PXkkQt3lRGou4qMgLi3OTaVZSrl0+bmhaBfOEaERZBTRdgpcxSTWPcIa52VLICdAx4+3PAsGSoFrS6J5/wiwDFacolnd+kV870i3xWEmwV1ipCPPcJiGgMLsNwrzj8q7CesCVBg+CzoXiJqAi5fcK2JAuVVSdRvu37/INdoWxoFuCzN4a19ZCNglJUeojykloPVU/XczHlnxcgBQFDIIqTnLbAMLo1Kumwaj0dhsLoxipoCcoeGQnsvwbwjbVM7Q0gjHUkB6GyqbbjoVsyC3N5qIF7X1m6fvYnurJmnRrc0ZN8zqlITQYz9gHIYSKly6po5X9ol1LEn/fnhBJQC2e2slQWd/ZbtBYCh56E6sceudonCU1URny7W35WZ9dbv1u5dBagxNCe/mmiGgzqOFHqtz9a58WzYth7R66lLeoWOVnO8Z6A7W2uoRVFOJhxzI9DF5jsCogF5YUBXk7XrsM+JF0GcTQjijLapGzqt1nLBMp40MhSncZqM0yXnW9JAx29AEKNWAhF+UGydIgcz3Dm2NkE6UHCNoE40lWNScprBcdrZjgbGewb7WEKl0VmjtfZpLU/U6rqMnkynAgi5UvjFgrTa0xDXTpGtUTqsFkPh37MGSY6UhSlTpGl7zQRe0Bk7AFif2y/PKpVKR/9qL5R1T3hWd9tiycd2+29gpSJvx92dLAeLfG/VumZdgKsaRYU5YZ5Zt4BajQLra730DBDzIOYMrXWvcbHgSSvjbavD21KZXbU92FhqAKqBI04VTlNFmOgsiRKUKYakhmJ1fS/SBJuY6TdRiQx0L6TobIEk/2xXFW4MGQtafI2v2TDvOV4bmKNeb1crsGUsXAVqlY5wNFYIBF5/60GuprWmrPYGtPTMPiFy78lCBD0u2ta0ZEX3vIrK1MEy1sHWfWYAF7JyTM3W1Citib0eMtHg50QRumpApWMuW5DKGTkbWv6WPdPEzXK2gN7W24aiXI3WLtanXYy6px4Q22e1cWyMCLuhLVgJUMBunpuSdQNzLLiWXKBDj3oYbd6558OpsvSl8Iwhc2qP2nEMUSpqT9XZrVZFHta6/dXx24jLAeiPWLNKZsfLwLl1Wx9nRTih0Z+bPSkEc0olfpUuJr6UBfHCczhbvV73LGvNmJoT/8I1my6uqGvZzaLQGRvRwBVsSpVlRh40Qv38Z2Zcz4ZoxrhGxmY0xNa3B1xUvPXzPzRn3fddMC0QlW3bE6712tGnqNYXvgkIAeiMCeifE73vq99KVoQL90I+HJDHgGUvWG4NDLFzQg8Z3c2MfOmwnCOACBfGTJeKMFnGNvJZxDIoCgfsKAaFaQYenhjMh0ggskso+56imm7/3Z46PThvasadbm3tt3ijtBnhyJKfehhYOyf8XVgKwsnOmkD/LT1cEB6eobsB9X5vlG0+R5jyumdfs4nMX6p9xHzH85oqzYrz+4h8Y/5IdoDdFpqJ3bBFZTXnmxHlkgiyryUVxkaQdQ+1nugFCKqICnQvXE/TOy/TEJRLQE6KZVeAKhg+RtrAy6ZsyjJ2DlRKAZKBOWJZWwepuhcKGGmwVjQL0D+RbRgeT8DnJ8h+hN4ersDd7rTS+mtPoCRegPgNM8nDA9DAKtBHWm65x25+JhgeFcuBJSgE6jmM8cyg3DO76USVZoC+fI2C/a85VvkATG/5fN0L58Q7YZSeoHy+r/jJn36DQzfj//lvfozuw5q9rYmlV6iKeA7MYJ4F+RTRPQvGz2yH9PzjgPlOsf+VYP9tQR4DpjcruzCdnf7rjJGKPAimLwp0LAj/tsPu1xf0u4ThIcGVwjUJHv80YX7D7+0S18a6r9fsd96TOee10AxQBcs+IN30mO8TLm9Cm5uwrDgqAXe3y2rnmDEaHFCLijrQDoVlTfm22mJnlwzKsrWxQofK7mCWaS4DmSF6ck0MQZ0ZkHYX1kDnW0EIFRUE9zjHXAP5VoFOIXNAeO6olPzFZJINXVO5JsBv7MooOP4xUG4r5JAx7meclh36Bya79r+hHf/wDwTpiwvmvsdp6RAn0sFDBl7+SDC/rca0le8lZnzf9furKxdDBJWOrO5HoEsm/b6i07ULqH1otJsIHohNstuQZcnSGhuvjrmaKJUdZBuEd70Rn2wFTPYbKtY7ykSrEFcakaGs8cLNHi/mhFm6nH3uLPNhRt4dr5alFbmulVVdfxcEGB1dL6vDWCqVks1RYguawEDDqGlOe5aUVoeosOWBOiXOaG4A4K1XSLmoiCdzHlMAQg8qPGdg7IB+RXUZHAggAcVqdby/qgZpKJQHxGEBhifSNz1AWJ+dQZsjhp7tWmuHYMhWYP0W1oCL/WsVcCXNQFEG0iH9tRYYWjYrTnZYbK5g9bnAanx9TfTP/IejqFLUAgJDx7pINVObx6u/Ac6VjYUrKbPmzQEVmNqovVVIr69ek9tUeAWNsu0OonJ9h4XOf5jXPp6t7Y3RLGWpRttca3K9fyWpcitFX0yEK114KIYZLcMXJ1PhFIEOPVrbn1pXIMWfe7O/vtN3dvu7bRsID1i3yLI7Tv7/vnda8FZXsMh/XtffN9pbE16Tq/e3YFi2/zZHzZwxp3SrZUGro8lRAG+XUBRl5tqtMTRKsItabNs9NGfc15tik8m9/jfvnS0qQgZbrVjA4aBQGABA2gGRTmjMAxVdA1pbdOKCMUDLDoSs6x9X0XZ700ouOFfyWoq/2EPBgjdXD/cxdRG1zmmcTuW0GkK3GfbcbY37eMCcfWcYKNkE24BURUwwZhWN8awsg1NbF3OACwi6HQkLyxbSmaCaO7OyeLZ2s+5SXFkSqhBEYPSsaWVtbClAzpCcmsMtk2dn1wxwy4a/Amk0UNjv+8AcqaEptOtoLZu8Vn3JRv/MDIBEGp2bfX6ttVM3NDbPtg0Kx0yhWBkGZVzttjvVNZKFwLpAMq1w4wGlNAq6r32vDZNazbar2eNK5lXnqvW2plXN5orZKKvXnTdrQ+kIeT9YB/98n9dEhyZAgcmBJm3aCl7S0TK/BhC6vZHIdbwN5kOu0JDYjzmEtZct40I4Xdj3W+lYO+d0+QYu+V7Pbp9Xx47ZVVyJ1zgAho2qPQQoN71Roz2YArpnoyv3lgnOAWWJ0IntxFwIiWy1gJDMtth+CiZA2QL2aBnZHLnuRIDdCPU6XEMndD/wPDjPFmAKahcRl7WcB8ZcwlUbR2bwWys5D0YrIGqaEl1sthTguav7kcw2LyXQde62oLz/u7XHCrLWO0dgGYKBxWaLHdcQY3IVgVhmNuwEIUf6PMnAs7gGXmSFrBnVeP4t1HnYWhHa3hSAamcxINCHYLRZfkawz/CWNk1EqZfmd9YokGjL0JiGzlaAKGqWNSgNAu07hP0I7RITMpt17ky5MnDcvPVU3hPYTSd+rguplUGgiazIvBdIlRYYatSmzhySnzemFeG2GRy7oCuLCScYuGDnw86ZddrOYijwq4c7xEhwuvYKCi6CZYZDhSyC7hnYfazIh4ApENA/f8GMn+uypDP3HlBRTmRiOA24e6byfrxw3kIB+o8RdaDeT953rTzB5wkAhgcyAEtPRsx2DXgw3j0RnE5nRf9SLZFizz2QpVEjmhK727s8wphdtsyrJZFEG53dwcoyAOVAcIa+uQW/ievCWysFq9stg0C6Cq2w7CiMAk0l67wzH/Ix8RmeTddmjFhkQLysuiOuLI4AYyBybiQL5Gc7fm/l66Ss7YmAFWgIFwHOPaZve3TWDhHBas4tcZanZG2peE647YyTKWhP3OOl/N2i3N8/kzsvEFB0Q3cDyj0VUPxgLgcuGma4aKg668NVeml0HA3aEF7vA+dqiaEhcn6grYdYU0I0WxjnyprMQRCSsFjcDoPyyI3sRfzpbEIRF8XwVGig7eqeZqTPJ2YuhghIZOsGE7LwGqzWB86d62mGLgvk5oB6t6cT93y+DoaXDDnT6a67jhmYyUR+Osv2igC7YaXQzZntIqpChp7tiKzXYqvHisw8hNMFiGxrpCkgffMEfXyCvL0HjPomU2lZwlDdyebmznszeOOGltUD6QUYH7no2PbpOsvriGHeyVpDNNERiRMN+nzDw7A/En3WhYX0UmgYpADdia0Z/NBp9CCgHQp0YDd1PiJrpiKAB5w5K1IozR4vRLBqpDPQPy+kR8aAOnaQ87zSXrfZcgA6Z2BUE+agYwpHsR3BzkBtCpAcn2oNu/3gdScoeO2EOiqnSGcKZsTj0uZm7evKIDBcMrSLWA5s4o6Ng+hIm79PFjSH0uuVu2Pl64+ZoisiqHc7tjp5MmjSg1MfA89qbcclbGhqMdCxWRYGC13Hgf++Wl4PApZMMZhoPaMBIC8GJljWfCsqZd8t2yDYX+eZPm/jtK1zc6fKHCOvSy+9YLFyCa97KTZXITNQcvQ3ZM+88jXLDQ+Q/skYCd11e4FmsyyDuma82G5EDPl3L6mhr1bv5+tbyoaK6YChSAvO47wBcsyZDIsatZmZ2zhV0gddRbWCgWzOgASOf1iPASll/Xffoe46BhDTCpzV3hkLoVHli9Ul5r22gFOKNIDLs8rMxgJi7JGwKOLLREriwBZzmgLKkNDqSjdB/BYYSy8RumkZFs+ks6WzYnisiLOif8yk5F9yC3DF2so4+8KzuhptvalSgC4XrullgYTAYLVWyPFMxkfX8fWVQoiIYW1B5Fe0YMDLAIDGbPB4ytu+QQThtDDb7oFurQjbWl9gzQ4fdihv92upiNlB7WzvGDDgAed8a7V2XrNWYGIyQP+gkItg2QHLPrasAp0pfn7tjU5nwKWXPEhVdE8L4nlZhVWiIB/oWI8PDHpqwnXPeqfZKTNVw6OV4Bgl2Zk5dFAp0pMKs7zVAMc41yY41VrXGNUVVdlvteshQw/RCHyyKTjO0Lc7lCEiTAXxxbKPY6L/sMlkO3B7/JHZc8smEzSUBsBKJSAVZtbkDY+V5431Y2+UagvKg9HZ69jh/PXIfWSMjjgpdh/opF7eCyQqZBZUSYgvEeklGP1SgRGoifVsw1OhE71UhHMm06cbGDiZTkFQhcwjNAaUL25RbQwkV9Quot72CHNFOk2shU0BZRdZy3eeeAbuByCtAnH8YBDsaaKB9qxTQZgzap9QbvoVHK1A3XeoY9oESNpaMGoXgaFD6+4QA5abdJWpLBbklk5w+WIV7KGtNBCgW9fUWu9owe5COjlBDf7Je2mZRi9h65/V6i4JWrc2OkI/tkZB97IGTyq09WxrVFvpku+BNCnGT9nsYYcl2H5aAEna9pwDot1R0T9l06dZn7/2AXXfAeGwAngbFfEyAtkGRAP9ABUTViqC3a+5ZsvI515umAXUqJjfCspOkPeKsjeWgMun2z30HyPiw0rPF13PJRcg7V/IZlpuIz79fYoI5bsC2ecmxIUimP/mhi7FoCg3ZQUzA/jaU8Lhm4Lbf/OI6c1bvPxEsdwpnn5CwKd/AnYvivGhon9eEOeIkLmHjjuO/e3fFux/cUE+JExvE+KsuPsrNMDs8t7PHUBUrORHcffXF8RLxuNPD3j8aTDbiRabxIXf2z2XZoPKmHD6omcJ3gEAIsKiGB8J+MSJ504eOlLlLcHm81aVtOpoAlNhpuji8mWlUNMT6eJlr8g3FWESwOj36QzIMwG5MC6oXWT5UAVg9or0ej7H/herwBZ9F8FyInigiVTjfFeArgI5MFstCh0V3eeIr/5lRbxUfPsXHc5fG7oP2kc1Fetgdd37Xylufl0w3wTa1Mj2TUY5AR479A8Buw/GyLQ9OzwquheeHXkP5M0++F3Xv5ea3IZqw1BqxXWNXHD0VVbkwbM31Q/NNYMrBWs7Ic+GbA4HOALqSKFnDII2JJaUEjZkdgfGGzTH6GiHvWbzPZ4xDotlVUWgnm52RyMGAN367Nu/Y1yDTncs/T3NkFvgWjdZp+3nqKElMTZBBiL/FmBsG697vZePc8EaUBdF6+kArDTATU2uOzEaPfOIq+bTLvHtB8ayCwhlld1fPxwNlXNqRXAny5FxR3B9aZhj0BzzrHDKpYvH1M5fw+dtGa/sAQTnTIXoIkS8T/ma0PP6LmVjeAdP/BDmvRsibHMObIKr9ozy3Z99z9Vodpvg35FZtaB7ZSis4+Dz3+ZVzMiLQiAtS+1jt46htuyBVAvaZBNctLo1NPpqo9T7c23X0mY/t8u5IVbP6WuSmVpbT1fv15aBvlqjTQ1pXZdXGV6/PBPse8YzCC0TqWsgvP0cNQOw/cyWWcZKAfN1b86819ZpZF2XJDSasgYgiK8TNOBFIyijb+v+ShDG6+2MNSBBGk1eKlbRDawBLksieJ9xWveEg2+0KwpIgES3p/4h63pr9rKBKJs15eMhYZMhfzWG8M8WAiywPaHrfWzHrW6ev6334o4gGqIvZZ2SBloBaP2XzZbrBvzxVh5r3agBDiqW2Xa6tPXIbSqbr9b66zWi2kR0tsyBJmC2vTY2+ju16dvXbNfwlmUgYWX+bOfB/7/UZpfb2eHAkvDZt47t9v3+PopggersMVgGdi2DKF7X1WtroydZmlPVbLfvjbAJCJr93j6vr2FdbRfQ1r6IZ6VwXeduZSTZ0X3HiBfv78qsrW6yelxLDp6Y81T4ZU5TvqqzLma/NrXk382wh/UY8jKQVz7LFmABVtvRxLZsjW/Xvtva4GyyIixxr87U2XQssPtrrRVtO6tubESx8hZhFrxGir7EiwO91+dbWDaZbJ8qY5C0819N5yOunRau1r2Pu5U0XI3vq3EU6ypAf85KQ1Js9r61KMrWS9ftswEYVMcXwBhMMCDOkxfqfkNY6w+3veZ9nTZ7FNECMM9wSZZ1/W2PnQD6S4IrexZsi/lZfVX24YKlm/M3mK/ptoiZbd3YPW1jlXehsbqu/QTat61/JPrKfmYl+TygUcjVfRfzrV7brtoBevF7pF2moJ9u/DI/g+yZrZyKbCc1m2H21zN4zblDY+lpIDW+GMYdCqBFWhucmgBv87OuM8B1eBool620x5gfVHAmoF+TQK2XuizWXsjFDe0zSi9YDumKteU2rEaB9mEjpgbL+q5z0mye/1hg3x8JaJhv63oX0bUvsvtFQB1Yruk2AWrg7ibX5fuLZzyufZKO4UGNAkksd6oDfRTMFIDSoKvWUKTadbHSTIBq5hCgmthnGDO0CvQSW6DbWhB1m3VX1+du8wRYYEvxtDBz4WpgIFsjyJJwl2TzxzPO/n2MCez78yZECQyE2QlltWlqN+JlB8XqvvGqyu63Xf9+gtxGKtcWvNaQLFAJbRMBRLHme2mHnxglz2lMHujSiKsdGPzjrXwAf68JKIhAutCcNYEinQrYq0vYSLunwJJGRTpdT+TqRALdw4RwWWiYkqHw/nhdIgLfkd4Tzgvk8QVb6qXuR6C/AaYZ4cNnHiQ3exp+o4PKvADHEylD+5GbbTOGDE5BIQjAMrjrcEu1IFm11fPq0ENjYh1XtgzAyVDXIJA9q87j8wUIAXXXGUKbUMaA+TZiupc1mxSB+VZRdkqxBMsSPv25AE6/MbpFQ3uMprzs+W+nXAYT4mhCMP6oQZAuFcPDhlYlQPdc0D+wndNyCJbdrSD6FFA6NvdO52pBcbVxiQ19b83DgWZgdBeMhr4ePKRAWQCpCiwzNAykLm88S0mRY+kZTVOwRtzU04FGynvOpYuiLnxeR5OdJki1R6A7rwHq62sVO1s/v/bJjIFRmo0y2h0rQuazz2cx44PVAC/assVSvBbXMkZem2YosC7LSrn3gGheQKWPCmiFikO5HUT61fEGoNNkY5aAlLg+/Wddt2aJY7wKnppjHwI0Ra5ta0HkdNCmSm4UxLZnAAuEKxWEO2YH1EACNTEl71fs9LTasQapDNu1qa1G1lVlvel6C3JhdK5ttYLZplCsrjCr0Tgr4tkLEEmxc4DJ132xFiLR6v7SqTYxPbZdM2dTFenIN5YhtMO/gTVX4KFirUuG0fFra4G1ghLXrpEHuN/pr2l0WhGB3grmm9CyHRopqBKW9T1xNmR4YSu4aJoKTQ12G5i0oLMg1ApVOuBhrnZ+UJEynRXDgx2Sr+4vnVdhu3R21dU1MG9rxTKqUpX1iCGsQb3NrSZbmzFASteARdKPLfPkgoLONviee9IusoXcbCq2nuXKBTItrMnNBSkXo3HbOu071MPIrO5lsufYPIMwqxYts1bv9tAuIg8RZaSy+7LnuTffWcule0Xes0ZLdoXt/j5TKCSdLQgyp34NdjfsGKDZ7mLZSR9HtXZSHpTHjY11oTdfpxoEna13/9z+qaB/mFD7iOWuR1PFV4FkRf+8CewViCfLzAvg4EHLkE7LqpI/jt+ZE4D04AAgnDPqkDB9saOPYfu0bjQqvDQhnYGa1z3GgBaNHRYK0D8y4xcX3ptkRX8qCLkiPZKxUPc9yhBRjY1TLcsYF0CzIgoa/V8K0D+4zQnIma1Rxg+kZO4+ZIIJJnTYf56RPh25JnbcMzJXRKmIxxlyopiZa3mEpRDYVY5jsFIqmTP3Sc4ILxd01QSg9mMDg1ArwrlAamVrth2zrvndAVClYOe0kCF1nvj6geihd6zIbwYsNwnpWJAezm1trz3MDYzzbK4Hu1wabMFi7ZYcYF9uSG/VXoGhAFNEemB7sd7ojg3EqeYbJGYxy0hGVBT6oP0T17LbYw/0PCkQsmL4tCAUxXJIZL/F1f8oRkMeP2ak04L5zYAaWad8eRtbgO3ryJlY9G8V/Qu/O52Yafe50RSwvBktWMN6hsZtFAlMX1TcPADjp4yaEpY7KyXoPCCXK5A3FGD4wLLC+U1Fva0U9+sL9JyQnrlhl/sCJAY4rhmR99w3+YZjOjxQlbj0ZAcWYymFBcAxoM4dWydeCMznWxqX7lNAOgX0j8D4uWK+Ezz/WQcV4Pi1YD7cII+C3a8i0pk1m1BmS8soeLnjOR8WUsS3Nuz4dcDl3Ygw0/eKs2L4nBFyxfSmo47BK3NRk+DxJz3yjtouec8SyO6ZDLr+mWJ9ZQg4f+Htxvgh3Ym2qwzWWcNqbMNimeBKnRppMuNUzT59ZaJ994CoYL5TLO8KZArY/S3rlS9fVsxf5ebo6qio70hNXh57hIswAH7qIfuML94/AwA+frpBPSeks2D4SKGx008WKn9fIuRFrY66sgb5hRpJeOA99o+CdFyz2LVTPPw0tuRWevHSFNqtvOf9pRMBifme7dhCpr1EIDuudqzN7V4YKFQvLwsWmx0rulNtfkl+JXj6265/f5nc7eUZO/hhaY6XgXgufiFGSb5qM1HXLJ0LCcj3oYn+ve0PsEIvQCjkOWhQqIZGjQLQhCo8IAruqKpRnc4zthTNFV0HFCa60sfm8LXMVzCHqYuQCdBpppNvSo1Xmdd5YXNzq0XZjmGrpXIq7HbXVQAFkNkyFJ6R6xUrDUihqFe0FWyDsxgB6dEUYk0l1tsGNSTfkP+wQfaWA53U/vladVmBjcMLIoWVWVXn3WvFRmzJnrUA8VLavRCxXoXESr/SMKGKkHnQtd6A2QQkAqwQv43iWt9ztSZ1EzB8dynDBXleX9tsgDlU+uoDHOlvFFJjEkSjDWsiZc9Rx1BWJPA7wmaqG2BD0WoY25qA0fZZZ4GsSKZenpIDCGtdplP9g2USPGBqwMuWBlx87USDtT3Y1s2acrbA93BGbI2rVEi0veFtLGJttc9XbI9tlmAbLKj1Bq4GIrlQCj9gfe82uwWuv++fYKzrOwDemqH2RPyD2aiGOG++wuNBP49qgmVpVtCs2Qpbs00h1LNLIoDGNajyx7eepmqfFSeK02iy7I0au0Q3GVpJm6DWvjdZANhs4utnX8eXcYfyIbbzsB3b7fu2WWHBNUquK0Dp49syq7b+aNMrrltWbb6j2cdNMC1goGnnAwEhe6PbHrvVNFmtuSmTh6JtvK4uA00kG5smRdJAXp9j/tyvRdOclXOV+bMx3NaP2/tdMJBiJFgDVuV+8iUnIibiGOBCad9pcbS9ciaVuusguwFqfdVbBtfAvtozu1JNGRN9RTdkLABqipBqr4+CuLF9a89otHNhCw43fQsDWJoAkQ/T4g4J2/TQSXcgnJ5LE/SZ6byHtg6kfY/T/q9rzwvrrBNLEOAaHXVzJnpW0edj+2xxs2+CAayBgC7Ug+fNbdjZ4/RvwDMLnD3PUsdZrzJDpC4a4DItPH/H1Paut9LZ1ucCgCS0z42TOYITe/fGyQCdM8tOpChCH6gfYGCKAoAQJBcLYtkDOEO7BI1WbrPNxPsat5rhtt6WDJmMoWZ7wdv9tCxtSS0z6/TsMOXVT/G6dmdkbDQnWru/TZ9z8WX0yv1psUADYdwOretFOyWQM1SkISMLM3Geq27ApC9X11QwATH/PFJvLdHifqixpphPkbbOZa4IvVG3/cbt3kUEYakI5wVh3yGU2BgWTcfB2F7VwU+zbS5CGUpt7Cu2ItuMg5ua77Ff2nF+4ykjzok1pgkbevGr91QLuKs9XlQgVUhgZj142+NiwUcmOFPTWn5YOljAQ7ZN7aym14/tYmCosW/CIqjinSD473Qm5X/8TD8kXgJqR7Vgt7vpzJpiBj7AcggNcCp728sblpIoUE0E1Os9g7CGPeQKKd1Vdru1yQvW+91AED90kpWJhYVAdt4TrM6DYNlz73ZHq3n2lmNmZ6WiMbEa9d0/2koxtudrGRXhsKCiQ5xCy/zKUEClcUFIFcM4Q1VwviRUGAA+CzAK9h0n79NmHuLMgeluZuQuUUHZWA3aV+gc17N35p5IJ3suK0OcbwOOByYK4oWv87O/estM2GcUA3NGfs7wwHvJOwCR7xmeKgVpD9KeX2EJs6kae7Mi5OU76/37rt8/yFUFrK0ExCl3dGZIpehQg1GOKimT/SOsCN0yWxkIlYh/upCml861iaaEed3gnB0uXLbi4cTUwYzwtiDfEADWmwhGuPHia6jCa1liR4adwgaszv9lI2QBQOsAlI5oZIrr7gUaWi/TshreJVvGTNvBK+PALK8Ju8iSV+c9F9KLijZEE4acNmESAFd9Gl0gJgR+ziYTI7lQUXHogXGkCvA+sXUQgDDzwNSgViRPAzwvNGY1MQvgNJyt4aC6pDRD5nQFCkeRyy9FmkPAAwOIZ6JfUvTaoESBLgAiszj906buFkC8VGb93ZH1DD+AGhm5hGV1Fpzu3WhtTnu3mqUGPBSlA9B3HL8lg2lYuzyLa06T1vXA34pPBau1aAevaHOMnAa+pRgPjwVxKqSwVaWT4m1HLEuPzlMpSjQ9BIj1BA2lQqw3MA8dZbNw2MFZSXMKC9dymLjO5Tyzprwp7Oq6fg6mNZ8z1NRmJSW4+vQVCBCE9Z3BRHQAaBYGw7VAL8ZR7TvLjFnWq7Vp2gTOtbIVSYzMYtt+kRigave4pTHPy3UQ4jYiKAMkZU3X6pThKvjzTK0LxwAWuBbQaXZqrNfKKADL/rb9XrC29rHYpVGHPbvkvSW7CFeCB9BEVMJkwR9wJUhDmm2EiK3dpVwBN2GuiEZ5c4GWeKltzqXw8PUaN67Rdb71e5yiRqtNnAN5KWR+9Ane6kcTgajx85ZeYvY8oNHw4qLGMDAqqoL7bloR2EZV9ktJb/Q+nALOa5grEngop4s50d5OLnigpM2mhKmgaTe4XTclezVVbozjCmTmgq0YFmtyM7Z13+Lnj4GZ7pQ3ld4QVhGoeWnMiOgKsZb1beKEAGQwoSuvu53R1G7Feueuys+2T0TWYDpnshRs3MJcWCLfJTho7PXl5UxkoqpgVgHmQD2EbE6psRkk296w9h5l5O/DtNLBvdQizJ7h0hVwSAKvOUVVBG8hs3lN04OwtlHRa6aXgv7zZIr1sTmEaw96msKy77i/5srvafvDbIQGswebYG2rsdAFMj5sfcRLWe/fGARQkCbY8fzqH3UTVGHNegcT18rA8FDQnTYZhk1JTH53sDXvdjiQfeSq7w1U8PXN70hWuyc5mJaIGqBTjdFTgUUQRZiZvLHsdaa4pCzMtkKEOiGbq/YJECCelpYh1KHjc+5HrtW41q23scwVEoWtq1JAmDLSw5nn99CtSY4uAssqdOXnVx0TXIG2e8qIS+V954pwZFsjiYIgzsDbBKiyAlfSrY4w7TiDVRkLtAQszz2QpfU/vaImmxREGWGgnCBVtijpXgguxMUdc6NqFgeNxerRARdHrH1AHq0NoCVo4rk2O1UOPUQV/VMxsTDalXQy8Md8hjwK5lsLlsUDLe55BccOIojnzJr6+VpvQDb9oMMk2H0u6P/2ExDfY9mPq64EKKg0PBYsh4DlQvbH5QfMzoWLIMyJgX+n9l3cj+M3sb2frA1bTwmIvUAzf7f7mLEcAsISWnsiDYL4yIC5DhbgVCC+OG2KP7u8E+QxUZRrAdIs6B/0uqsGgOmOwe3lPXuqbmu2Ae6j/plzNd1Tl2C5AZZbtkECBqSL4vwuMhh31twAXN5zz+++BXbfKLzsrjsqDr+aIUvFctthvkuYb9j6SzKw/5bxz3Qn1tLL1loANCpKFSz7tM6xWE30LdZkUeCzNFD9SMfj5c8zGnX8oSNjoa+o54Tzp4F+5ZFzVUajMYeEX3x4A1WBfjugu9A/P32lWN5UHEZmHOc3PZmvpuAcJ2D4xCD9/LW1HpqJBPgyqxFNUbkJrFmpXI3sELFNGJR7YLmrCDmwXntRhMy2svOd4PjDhHTm+hFd6e95pFgczxz68H+X6/cPcqu2w50NvDcOGcCMZ3SBItI7+iMnbroHShLrYUjUbHgyJ2UmEh+mctXfkAeB9eIyJ7GppkIQUAFDSdi+goMRszQUufak2cULaYRSFeFiwak73JZJk1yA82U17iJE5uw16sqZHujMiykll+aMSLa+lE5Fs16IV5TLGIC8Btfk4lhf3b5jiWiuazsKuxevLVBrPSGbWjoA8EbtuiwQayWkfULZ9LgMRYGpogeNOVTMUFs9WFLkgfPnbYL8EKuJfTHpDHkgytfVTpvASMg8MLoTM4npUijWIu4Uy1pDEQWaxYRzdHXiBa1uywPW5sQDCEtqwMb2gEBVpFNGMGVip0uFibTcRiMsJiYD0MGtm0y4txVp44rvpUyKMRC0rs5Q02rwoMoCFYrnLE0Nm99b1+zqki0jKkAnLcNKRVxSKFnfZUFdFG78V3vfgx3Sy+yZZxN58oB1SxnuzAG5gK+1n/H5zGHf1uz6v5NR0aq1NyreIiXRmd+qV7tIlLfa8qDLHHrxDLG/RsgtE1/b3u5JBAh9y0q0+yrluj6psp6pZfVknR9H0p2BwIgNFjjIpuaN+I7XVKHaeWpO+xrcbsZTwSAreY2fIPjYI7G1mAW4UvVadCUK2R4eLHvAtp3XmYdotedoWaOyZpC3wJiPfwtwvXBnO5eAOcl0mrTvgH3fFPKrKc33j3WtJwPYOiuuTmdYWDbSUpWgDQsGSm2z7yuwCFKGK9rGEUhTil3HeT3kSGnEKnSTLZDe2mVfZ7lYqcHGTnoAmdCATb1caAO6nqUKfm2BSVfN962wqaPFkqHTvJaWeAAsApRlDaC7RPucM5qyfhGqPDubowFxZRW8suy7lgqJZa1pLisLis8Nc8ZJC/RAvgj7MLvICKmflmEBnTkXHSwjnZt+ctVvA4pUERcLMtv4hHa/bFdVocUYTmZ7YdndoGBpkJdN2HuiBUK4G4AhtvlmYoJnahn5/KkswEUJyLiwVwz8s2zG7hU4V81fQKQDGt1hsvUSvJbUxBhDUfRH04ro1nrirWpyyIruJSOeN/a8nWsUTdIo6B8XxMvcyhukKsoQIO1MgTHcXHSI1N50WbUwxFhA3ke21bEaPd7HEkVbu6m6Hymw6HYGdtamQPG38wTsBhQrEdKhB9KmkN7ts1XJKdgXPu8Sho8V8nKCxEhzbZ+rKbRSH4ABNzqgdLQnoZCKCxGUIUJSQHi2rHeXoDESd6oBErTtj21v52ZbCreFRkXqKvISEE7R9hBf1DJ1XiNq54C/P1oWMZ3XUjmpJgRlNi1OhS0Pk7R94Bns0pO5FReKLfWPMyRXlF2HMjKTnV4WCuxFijtwPeR2f/m2R+m79lzNP/IyEmf2GGC9PfNwmYC6FiuGRdA/ZtRff4PusMPwrqd4ltU1D08F/ecZIXetm0DZATUp2wQtJubVMdCkXg4Qn3292zqsXLTsHsAx7Y+Vnz0nQDrkEU3MlCJCisvbgLyD2SdtY1B7YEnMoLrieliY3e2O2jKiZWBgVAYrO9ppyyQCaAmS/pklBMuefXPLqMiW7e2fyBhcbhgA+7XcAPlPL8xif9hj96k2Zlw8V/TfHKEiWO5Jc84jgYvuRTE8FGgUnL9MmG+tdGyinVATs6sdSGixgHB6A1x+yAA2vUTL9lqwCyBcAupYcfvDZ0RRPP7tPbqHgOWG/bNlCRi/DSsVOrMn8BIU4RyQn3pIEfSPFK1b7tm6CTcZY5ehKrgcbA46+85Z0D9XtqdMQNlXlHM0UMPG2Vhbkqkw3b9oA0FVAH0mU2jZe+cPQTlU1KeAeK6MBUpE7QSnHyac/iSj/xDRP2Idg6YSTvEqePLg73D9/kHu2K8oba48sOoaeMRkgdQkSEdD54uasY+ovbQsmxsQVEU8zddNyQGsdFHLGvvBFID4qv1LvFgdmh8CwWqGgrS2QPGSIedlzW5UXQMer9PaZo+NWqze9mexOqutk2bZpOZEutMOGIvFXheNsujofENIDZnd1IqJi1Sptl6h3o+4vQZ05GRaoLlghS7Bg9yybHJhM/he1/ppAFeAQTEEPZ2oiM16jUC0bVEi1k8F6VLZEsgEq/JgDoIV4OcdjVD3rNh9m8045CsHfPv9kisQZUXn3cmzOW4ZvIqG1jUnHuB85sCsWN6oTvuBb0CDelbGxpDjFwA1+l9K7BG7DeTmBRKMBqbrnDro0bJrfYd4Sg2A2NZe+vhyXXBtpocz5DJf0049i2nf37JCzRmPzOB5ex7Gf+vlSOY2e6e6BrfbLLFncbeX0olBzoBW0tKamJllIb8noysGzqirj2uluqkEe6baPh/FAozCGnLeaDBQpkDn5Wrdrrdmzqc5XAptarntnoKBVSkhvJzXwEOMTXKm4nt3TK3FUxMwERcm45+WGbSseE2yrnPL7npvYyomWg3uC+2Xt1hDiq3/stsMt0vtsjVJp4o2LjgYsJ0zC3p16BD6da1Btdlfn+8GlgDrd83LdSnDFszxtez9u6tCrH405Ih4nNvrWs2u7c14XltqAVgzqc0WAuEyr0rN8dpmoxgYWgVi0YN/XswVMQULQvXqd/68VzW+r8Ab8eB2WdiGrYB0ZX/mzR8NAum6VneuGzsg/lki1+t/XaDtPJB0DYy1ftQbwLPNp2cpPatditUUb7KPHqh3XfvcxuSx54/HCfEkkDyAPbHs1wHYfcs+oHknyDu2jEhnvi8Zzdtbi6m1pamR1DtNrIlKZwcX+br0OHE+Q1hp2WbL5eUM793eFKU3ICEA1msumWBxjLYvMsTZF8nes7H3KoK6Z71pvGSE2c7srX0B4H2PVZV/b5z//mGiZt4rG+lniSvUl8OAcLCz017LWl0LtIwm3aisBq40Om4ItGtCYFdFLLBfgBqZqVSge87QIGz1kq6Bou5xWctLqrYe1WEqCM/MerrAlpxyC85bYOng6DQjGvjO+zLGXXXHls95FaSHsJ49zf8i00FEEMfUmBIN/KkVigCRjUCl+1OZgEY8zQgxUCRrKdAhoo4GMFuHiQYkAQjI0BIQbZ/EC5Mf8dIjzha4WMu+dElY9gnjZO3XKprT3R3rVaka59WBPTDAmBTxQlZIOuYWxAKwch+qUGuMlpAhC6B/CIiXwDPAKLDxeTIgVxG61daLBTsAmh+KFIDEeR0/87XdMZP94uMkwtfZ+GjcAC1Wa42N85+eBS8/6rH7r/7T9ftMCVgF3ONfDUxWWJ3u8HEdGz6zQCcGTuOnNWvrY8f6ZPp/opaBqxSdO389Yr4JuLyjHxRnYyKc1haO8eK1+V6LvJ6/W1E7yUD/QgXj+S6h7Ne2dc6uat0kTmuZGMDnLL3X4NIvjWcqy0OsZnZkVt9bLaYzMH8coEIGao0MxNORAezxJ/er/yBoSt2s+eYzdc/aWGJ+f+KJC7rUWO6APDKZJDOD1P6B9+Z6F852rFFwfnwDANh/Zm1sPwrKYCrOd/SPx09r+8504tjri7UJOqLRxLunCA0Rz39DGo97W/EsCFNEdyQdHaIYPgXUl9gCaCjH3UuT2GZIMEWuGRdkI3vTx5odbfpPrJE/fZkQl9jWVFiA9BiRjkLgUQFRgYKtlkoXkEZB2Y3IM4B/hf/R6/cOcut+h1hjc8CDO1YXHiihVIQu0XmbmUXSeQaqolc/YejcSgjMBtWK+vkBdZ4Rbg6Qw4FGcuj4msqaDczLJrOkaGqKwIrae8an64A3t8yczJnGdl6IfHkAa5+ptVJcxFUCPQM79EZbNcdlAXCZ6HiHjUNUFXB6JSwwkQpRE9Ux8So/0FstSgik0s0LkBJkHJiZdVGrvoMaEgt/X7SxcMrmkoFpMoqrHV4mNAMAcmJWOn40B68zURWnem6CnoNnOoYeOvacw5dTG58rqqghjADagVv3PerYIVwWxM/HNUjzYN2cGndOos/d9wRdLai5GI2w71oLD++xF57ObI8wzdDTBaTLGqdiZIsO6brrwClQ5EVTgJwK66hjJHizTVaezoD0KzXRnSfLQmLJdJ5DQHA6oVMd/bpStLU1Mi+o5uRS0MOyEP56ALhc1tf7Oj+eLMh2LgsDQxEBhgGNRuy06si1rB7QbNH5UnBVlzmtziD3UuWz+dzaPkEpaOqxpqzI90/M4PZ921ctkPXv3DxPE5UaRzr784J6vjBA3u+u76UqIJs63arQyRSfNzRO9bE5ny3gSECMCB8yQs7oRLDzYGFL37XxbW2NbO1pzhxPgCl5YA1iNnumfcY0ccyirfMYEHzPbHpfr2tD2vdc0YgXo4yLcDzAQEhrhfQ9GSFXWay4rjH7jjovtBNDz99b+7M2nnpNyxeneRYHKxThhc169emZeyFGPo/ZKQRpthPFMospQfbjul6U86ZaVwq8BT8eNDqFsQWn28wyAOTCtZUSdGft0F5OzLy2Z0ir4JDZNM2F68XHE7huYTX0qxMfAjAO3OvTTJvg60rsnNoAW9v7awFwEJ5lVuYgS4YeT7T5fc/f+fjbvEkp0Mq5YZugstLHfb3YWtAYeB9b+n4uCI9n6OWC/uaA9HxgsPl0tNIDjoHsdtDDbl3ftULOE4GlILiqlY+R4xxjuy/tO+iuZ+D16dHYGmaPXTxryaifPqMumedYSkDfIWyYMqoKnC+opUBuDsDtgUHx80uzSRIEYRw5P/OC+viEEAPCl1/wHmaKG11Raf3+56XtW71MUN1kuH7xAfHmnuUpS6bNKwV6Oq+2LgR093eIb265Dh0g9HWypZIbMF1vKAAmC9eadAk1dpBaGMioQk4T/aORDJQ4Z6QH2up6O6IOq6BeWCrCwxEyL9CnF+g0IdzfQd/e8X4envjINwcGmQ/PqJ8/I9wcgC/erT5BrfR1SuHeuL+BFpDZY+OlfWclCufm72gUtiKaLbM69sBic6TsOxF2xjpwVpoxEjSA4LElBhrgtgDBgLcmvnZ7QO3veB9D1yjSzgbABGgIjY0VP70Az0ek3YjB1nID2IzeLHlTv7oBvLf7ru1LALIbm3+GEDjmLyfuif2OQIzvubGnz1DV2n5lDGYjZVq4njbnQrR+xEiWwU0GIKoiPJ7os+xHaOyRXmakhwuTFqdLA0kbY3Ls0HoUG6sNpRBEGnrW3du1+6B4/GnAt/9Zwv5XAW/+bUE6V4wfSMl7+nsD5nvXQSFwe/tzo9q+YTDoTKbhseLur+g/zm96Ctx1FFQqPdsNxUlx8zcz4inj6Sc7vPxxwHwLTD8oiKeAN/8a6J+r1bISbCjDCjaIWknEtkZVgJooyjh+OyM9nJF392wB2Etr0Uj7K0hHQf8ENHXfIJhvAUAwPFbsPxQTdqNImPcPz3tqzvSFAofUkyADJV6MqrtUdB9OmH50gw//aULtgf2vKS6VLopwJC3aW6PuPxCYmG8DlgOMgQGjIjN4vXyZcfejZzw/7hB/NSCdBPtf8/NKv7bFcjHR/YfSNGr8EgWe/7jDh/9yQegL8mWHMK0Be5yUpX8bn9Y72PRPGcMvn1Dud/j1f3GD6a2ieyajoXshcB9n4PZnaMzN0nHOiomsupjbcmtzNQPBQKb00RlGNgefKZ5ZB+D5TwVSBcNHtDEfPzAbni5kzuQiQCS9vPRo7Lp62TCsfsf1/3eQW+wgOC9PKCUC24BVKySbUxOtsGdZjIpXqbRaN05WEDqOEuk4qqIsz9BlRswVMmVTCTaRpsLgQealqQy3w2dDF4M5g6Qu9tCJ1Cm5LDzsZ6OUxbAOxZJJAauRP/NDLAToMgOaoFXMCM6QfFwd7G02iQWAAAQikwUuZqiqBUC1rkG6qyTPGagZWAIkjVcOq0oHDabUmc8WmJrDVSzgnBdoPQE5Aotwt2VmT1t2R9UcHoVoao66/6wJDdkleYCWng7I6chni32r/W336AeAobaqAzQnyJQRZrvfBkokeE/K1mD++/qq+mWOry4X6JIh2kHQAyVA0V0FbTLN0IVBbp1n+iSxB0KEwHoiAe3eVZhtlHxEzUfL+lQsG+T/nJ9QZuGaKBVqVGKozdtiDlDxz2UT+OuBDNfBpVZoO6CswD8IVs11H4u6CQgNndRtAC1AzbwnEUjwan8LOGoESlrXZGMeyPrZfn/+fa/vu8mj2xxXZsTaPdfAOQ0CLRegLkCZIWV49ZkbZ8OzwgbwSM4QDdB6Ri0XiETLtl0DBaKB7/Gx9yxxCBtU28EED0gSpBiI5IIF2flqa/ZMFZAowNzbc7lTlC0ICG3pMFDZzvH6bFSoLgA6my/KVzZ1aGwAMQssCJrkjUNWoUuB5mJ+dbeOlyqkJGDivOrMtcrAW9a5LAWaF6AGSBxoO7Vc2d+rdb48o4v2b1fcrgKE3p7rGXW5gIJnkc8UGVCqAx9KWyKaIKaqjVzsvm0NlgiBBf2+lsXYN4rVpr+2A7lAZ9YzIjKA1ukE5LUODRohcTa76PYu2x4qqJlBK4UrEiT3QCTgodYfqmlA5JkZwIq2Z0SmayAB2GTkzbY0pkOEajDV+yPnLQzr67B51lKhebbz08fTWAmlQPOJ51YGNPeQPEPrC9fxAo7pcoYuF8iUUc9kGsnlRNu+TJyXugcVKtbv16NJB0vYAF52ftXxqjsAagfFwP+fn20/dQ3EhWka1PyMumSENEMkAlOiza7azmUti/kGFVjKOk4OoBVwvKUHpgV1eSbIPSUoBj6fA43bIFcVyAvXfl6gdcFcNut8eqTaKyzIncmA0uV8BT6FSaHThhHRbCcaQIBqZ1gM0G5B1cTscmaxc42WCXbhuHmC5AydEzRNdmbx/Khph2qS7mKZ5Tid6Jcsz6jTzB7rZ64Lzc/22QWKBCzPKPnI4Hi2spNMJhDP9wyJM4HBEFZmkYNKLk4lgMoABCDkCVhmQDro3PG58jPvewE0rIyBLYtCC+v4xUtwtK6MoGx2cJ65n+eCxToMxNlLx1YA3PdYDVaPOr1ApyNELlDZAFzABjSr61y+tiMwOzMv0POR/647rnPvSDFn6HzimZNmoLhgYIBKj5x6srGmaQVAVZsGyhVoGidojfTLUoSWgCr0L+N8YkCdZtRk4NFs5QuT9esu9j6NUDFbVYOJQTllnet0KastnJ4fML9csKSK6RgxnQrCXEmBD8B8GjB1LhRkolpnAmtLIGspVDBIeVFMpzNQFVM/oJawik3NgqWyTd50mqkkfZxwOQZkAZYxox4j5mcAx4piSvtLSlh6C3IL56TOMNFAM0EBqEFQiuJyviBNF0ynivklMThVHiHFtFDkUYAXwMscml4JAHmp0OfKWvtFUIMwF9AJ5g4oWYFnQXgmSFOsW4A8K+rkiuFHXC4Z86lHXRTxCOCkRju+BlHcJVgkYtE1yIUFb6UD8mNG3T2hPE7QhwE4C5Ynfl/tBcXdDAF0BuanxdpsrmeQqGJ56lEeFqArmJ8m4NnPUrIT5Kk2+i/AbKxkBZ4y8PwZFXvMTxlLUOhRoGd7rhP3UCmBweZsHVg2LEWAgfhSAO3W4LpMinCq1ISoBiokC0tGwRysJOwI1LMiq6DMgJ4U8cjuEnPkOssZqAMAy/BXA7bLxl5/3yX6veoj372macI0rZvnX/2rf4V//I//8d/lrX+4/nD94frD9YfrD9cfrj9cf7j+cP3h+sP1h+sP17+X61/8i3+Bf/SP/tFv/f3fOZP7z//5P8c/+2f/7Ds//6/+7H+LbhGiTUMHHS1zYxk7ceoa0KhV6mp9TqMx6qpuqXxeI+PZ2qGD7gx99kzGZYJafRcqs4GNRusZDc/Ebqm1VpeJaIIItUKsH+cqDhXXzKJlEcWzdSHwGaYZ+vJCpO/2APX+iZadVO/HaLUq6mJT/mylQJ8N3b+7gTrdy8ZPjPLSsq63e9SbHVrNT62Qs9FZHDnq0zpOruq8nQNHop1a1ND5Ddbh87TfQbvEPo2nC5HqHbM2bL9RrxFSz5o4pdipwSk29Wd1Cq/T7Fyoy+ZMQ2AbjRAQzhfo0wvH7GaPVpuoVpdZKzAtKA+PHJ+xJ82875uqrtetXqlDlgq9zKjPhoL3vE857PGXx/8Of/X5//7ddf7mf4Uk/Xd+3jIOvfXWddGTOfPzVSm6FDdbrVLhVUSAcYSEAJ0m6PnMMesoHELGQ13HcZMFXL8/r3V8AD+zN/ro5bKqI0evDXudSTamQ0qtl7JOU6v983vxq2Fiy3JFQb5STl5fzOyZBNLifby26LzIK/qvQE8n1OMF0kXI/rDuY7WyA6PXt+y5f49Rn7e05ZaVCqFRreXVGK79YjfruTFDkvVMdlppWNki7X2bdeX3tH0+yyroPMMpu4CtuxigLlKUIuTmlj9rWU//nFU1vd33PEOnicJe4+6a9THNVhayPpOYMBhSj393/n/gr47/HV5f/8s/+d8gabymyW7LQPzZ5oX7vG7snFHC0XWkURu1uGVSt4hrjEZvjZCxtyxYt7Z88fPh02fS8IehrSFxW+G26HQmu8PtzPba1uD7utvOGUAq6+UC2e2A+1t+x+liZRlxtTveO9rPKLObmgsz8AD3+Wa9tnkzxWQAa2lIsf23zeTPE7RUhMMB2A1X4natPneamZFNkTRevxc/v3x+zuyJLjd7fsZlpt0ZB+jQM5t4PF9lQOX2gHq7p/r6wzPti9n68OYeut9B5pl2WUjj9DPUz1qdORd62F3R+SVn6MklOZ0SbLWkHenMVz5Ard+x21e2A7CxL1xLRl93dpeOA/7y8V/irz/8376zzv/L/9k/QZ+NVpxZO68h0H8JYK3wtsSiVH6uCPT2AB3IUJLFsqSXebV1QSCHHXQc6KM8PgMpQb96B+0jwnGmv+HrfPO32h6SnPl9KaLe7qEdFc5rF1rmLpwz5Dcf+Kw/+gHKYVuDzTp96gRkICvC8wlyPNOX2u9MwTpBY0B8mXnejgPy7WDCRrTVcmLmud4ckN+MaJoPRdH/+hH6fALe3CK/OyAsBeHpDFkW1M+P0MuM+P4t6rt7sIMCafnh2wfodIHc3EAPOxPEpMhYeL7w+eeFdnEcoPvd9d6bF9b+9h3qyDIiOV4AEcw/umfv3XNBep4Rpozw+Zlz2JO5puOAOlDQ05Wt1fqXp6cZ4fkE3Q/IdyPFoj4eITmjvDkg3/ToHieEbz4DfUL+wT20iybeNUP3A+eiaqtvXt6MKEPE8O0Z4VcfIGOP8v4OECA8nulLHnao+x7h6Yz6s19SsPVP/hj1ZrAWjQEhc95VBLpj7XJ8POPf/er/+r32/D/5X//v0GNgqx8Tdy294PJerE5f0b8UnN9HnL9g3aTTWtm73dv0sG51ul+7lgCwThy4Us/lAuRnD48Kpx2XQXD8oZjAHanRpLRSvXe+Y5axe1nvswxAdwIOvyTNevj2jHC8oLzdY74fcHkX8fjnAXVU5EOFJsXu5wk3v1Bc3gte/rQgXgLe/b8Uw+fS7qW1pgmrJsd0F5B3gvFzxf43C2oXML2NVgPO2lLPDtckdn8Bjz8RLG8K+s8R/QP7744fK8oo+PAXgvJuwfCzHodfaasz1oCmdbAcgDoq4lE4XiAdWBNw/mFFeZPR/7rDzV9v7l3ZgzdOirITLDs/I2C11qQ5b9v5pTMz3Ze3gjqodSnB+r4IzG8UGhW3/y7g5peZYmrWFun8A35mnJmppVAn/9+VkI9fC/KNNoXyvAcuX1WgAm/+tWD8WPH8xxGnP+aNUhgRuPlbUqNdNLH0oekB5Z2t1Q8VwwNp9iqCnC/4b//r/z1++tOffmfdb6+/c5D7T//pP8U/+Sf/pP376ekJP/7xj5H6PWLfrU6hOX+k6Cl0INVJzhMP1IDWAw7Sk7WlYOuQFKG9t1Swg7FGUh9rAE5GCepZP+UKfhQKStcOdqtzFSCRtqanMyd0v2fdR5egfTKKDtUOJXltawVACmRzvDw9L0L6WgmkXYgi7AIQrD60S3ze6cUOZxMIyQHAxlENCTh47WxoFB6NgbUsvf0uWEC5CPA4r06n8jM1qzlS9rOzOQKL1Sr2PXvzLbnVqK59NXug39CE/TkBoAboAlJ8/TWueqvpylFkANwbxe+FvIoK4FKAzursUoR2rEOSxZ3eCPT7dc6NFqgpQKQHdrf8zIvNB7iu2H+YYx1HPme4ObAG1OtqtnQOp2vXCgQF+gg90PmU3a4FLv9R/1/gz9/854Aqcp3xf/nZ/4nDZP9d9xStdGqFdHcJPKSdIqtpx/FP/Rqk2v1rNOrbQgoZQuKzbut2R+9xUKBLYUuRZD9z+qV2dDo6C+6dKrsUo3EHSOqArl/v2YEPVe6NjiUGOHvNaTJnPQGIq2J3e27lZ8fvqe9t+yTAayC3YyLDSEDLa89fi0spoP0N0O3X+yxq4xJJvYZwv7TAy+dW10Cq1WfZZ7dgd0sNLuvvGkPTqcseEPleNyc+AjJ4beyrwBhG67X72JJkRCKQvHbM6HjJah0D14PEAKSB91dN2cHHUiswex09SwUou1VZctDGxa44EujZjsVm/n46/kP8ZPwLQAIyFvw3H/7PHC4kpCy0KSmu+2nT6qwJ3QyJz5jy1ffIMELH3upTTbNgNNt2PKGeLwjDCLm/5/uWTHtbFa2FWwi0Mbs7aF/XPVEKReVChPYMoqQEUPpTVlrxtretolH5rtpltaB/B9zAviPY+k4AlHNkauPtbLuYer5x4DREsBTF6p5FTOiIddM69naWuc1d58GDedYUC9d9HyBd7wclWrF7q8kfuPdCXD/M16/P9dDTrrp+AwCkEeh2DCaHjnTIMKxr3T/oJfPv/e11EJZs/9UEjQO/f3/L8/10gc4TJHRN/wAlGNXdNA9QeA45cOu12SI8tyY1EMltd+T42r8lF9oMez6NwcTRKHqk+4FUT69jXID/+PCf4aeHfwiEQHv+N/9HbiHtkWKCQIGkDSCoO2s5JgsBehOX1F2CfmGgysx6aSmBNFIE2tCUUN/fQfuEcDRgWBNw84b3/Gh06Rg4hz7vbrtiAN7fod6OLEk6z0Dfob7ZQaJgeJwgDzN0SNBhhPQZ4c17bot+D4kJ4ZLZNUAAlcp1IYn/fvMWeP8O8PZOAVDh/Qev2NKIODFioRhMBPY9BbOiIM5WrmF0Uul2kNsO2g8IOUEQIbsIDBUpjlY2VqAfXmhPxoG1qT/4knWzjZIcUJEgtdCBniukG4G7A3Q3oNyOFCWaKMIF21MIAQoTrDNBsJp4xvR5QTrPQBZItwOiEnQrC6QmqCYD1wLnXiI0BqTCUgudgO6pUtn1i7cMMlXRFyBqRQg9gIRQEjRESBJgT/81HTnPOu6hQdBJQqqCNADh7XtAFenRBPjGPXR/y1ruLiCOAbh9Yz7Vgc9q+zpoRlCCVyWxfVMsCT/9o3+Mn9T/hfktE/6bv/o/AABuHnvkL0fkd4KagWJU2YYlvlHMN4DuBclMjgqACvQXhcxAtyhSrqgQdM8UpXKl3KgAXHV5pggV2wQB9x8zbv77j6j3e1x+MCKHgDJHFAHraHsgfQRuPhQsu4D8JQO7w2/YeujlhwmnL4SmdV8hsaKkAbUojj/scfqK9xAMd3E13m4B5KDoRLB/5HNe/gSY/hitvjhOFrj3gvOXVle8Y91t+htB/+szqgaU2LEtEgDpqRlRbOyiAhKB/SUgPzIY7yZFf6q4+XBGGSMuDyOmMGJ3FozZerxmBskIFPuqA4BREbOgC4rlIDj+/YxwWIBPI4ZHQb8I4qgonWB6S7fPSfqS+VzdC3D7Mwq8zrcRZRA8/1hw/nFGeopIf0sQY38GcEZTz48zkI4MUvWR66P0gtNPYW25lOraNzT5w5kB9rZ/en1LTZbbB0X8RpFHQRnZhUaMNq13wNIrhgoMPwPmN4LjjwtqEeCBgrHdSZFKxZwC5nfsJx0sqE9dRUoFl3cRxx8F5CUB//VGy+e3XH/nIHcYBgze0297hbBmqRxttUwmv4Eta+QyW11HaIIsTXjEayc8SBZZM4t+aJsKawtorf5zRfVfBcfzxpkJlvnZCi/YZ2sKrGdxJUavEd6Kp7jj4o6WHUqa2SIFMRJZtzYz2icT5qnrvQNrBmmLSDq6v2QGBSE0V1UjhQ38tWroZhN7Ua+tLatTZ20m6NzYodr3FD+x3qW8d95Hy75srib+UivriII5jZ5d2c6LB46eRVG17BRYI+rBlL/WA7clN8ESOEjiTqipRTfHqgidgW3GEgCizUuX+O+hbyJU68NsAvHttRHi0b3VnM1UkA0Sr1FJoAU4/MzrDNvVdwFo6tpB2OezZa9DW+8CUITnMkFzRhiGVfzM121va+NcWt3uugaZBWprKiU6l7kwg7udp7jWuutr2XWhc4acoTNBIHTWK7g5X5v1as/HIAvXQaMLXTUWBVqgJy5uNXKdiGrLAL6uUWXLiQFYFlQHZaIFEihrIONjL1Zwg4LW26r9PKyZtdeXZ0t9D1RdA0p/j9cNm2BRy4ZaIHMlnOUMicAgcZu5VLd3ugniPHCXyuBAXon+tLEXPpqrMrsyu61DVYVotXrwzTyl31IDXDLbs0UDM7ZLwtfIMkPD0BTEW3/oYo6pryv7/VXViwFuavMmta7CThcT5BKKpEC9ht4UxF2A0PdCSoz13K55Vjg5M0QMKInr2bNZU20New2o/zsIwZsQmEHyfWlaDi0TG8SUf0PLQuE8NcXlNl9+Pmyy/AIwQB6YadJ5uVLO9vtrbJuqzIxue0j7M/h6Ba6zma+zyy0jSHaUOLCpledel6AmfkMwJUHi5nuWjcK8dxNw5Xdjfbh9khj4WV1c1di32Xj3Adwmt3UvZusDrrQsjOXR1txG1JD1iLqejXbeqNcK9x20T9CiCFPgmjNhypSi2dLN+VErvDc7vTRQyMf7j3eReLSPeYzId/Smuw8mDOYq8ps9ku9G5EPCOGdma30ca4U+PtPWH/ZmqzOz7X72GeOmDonOYa7saT/SnnbTAnl8Bm4PfNYQVr/HFHdlKczWui0RgZpIUt13yIeEeC5Ij2c+cwXMULd5kcurFki7nq0gF2v/tfXzgu1jEVOLh4lquj9SgYcn1IdHSN9RGHLokd8eUPYd0suMcJzanEixQHSa6LcMPerYo+4SUBRpJvinm/OoqarbHmxtxgoF1QDY/uCa0Jl+qAC2Vnt4b3Vx3RDrAEEWYY/yfo88RraIuuQr1fMmbiUC7QLrsU3Akn3FzY9brB3ifqDg1gOZZMzgksWn5pMG802o4rzZ2w24ow3TIPSvZY9YTWirrG798JiRv2JGbdvz3Xu7l16g1gcbita+RwogR2ZZ42Sq6wtVcpnFNHGvCopvzUB/VJSOPXhVgOHjjPI//DukP/4jxNuvoIGCTlBB3gGlV4gKumcHm+l3dceK4dsLLm8PFoiJ9TYW1NvIPM6XgtOPKkI2leQF6J8YvEIZfIWsGB4ZCF/eK2pnz1WA7khLUkbB+cuKuq9Aok3I3/amxl1bxrpGQAIzi6UXazfFX6Yjs6LppOjOiu6lIn4+IQwJ/cMAjYJ0XPsJx5ldSUIR78i1alFUBp9vf/SIr2+f8f99+DGGh4AwobUdWu4UZVTowHuWU0R6Yc/z/ikjXAqk9lTO7iMOXx5xjHvU33SImQrQITOYznuKhQ3Ppq5/5jM//KTD5T3ratPJOqxEAEJxqP6orSNFHgTLDcfp8KuK8eOC8w86nAYqKPfP673PvWD8oNh9LHhBxMufV6haL+xAxlWYCXqVgd/pwAT49ch7wfmrivIfqoVQ2XfAMMJT/4g8MHzjlz0pNvHtDvGr+9ZDF6rcwE20yFpSmOJY7Y0msDDQCueM8HJm+4DbkRSbyENSrZ8aM1rmjO2Ha4MAQH/wBoiCy92AMgY2wD4EQIG4vDP5cW7m/mFB+nwGUkDe0+HyvmTe/y2cF6SDUTyNYtsOhPs9ZD+s52oAaozfFXpwA+0tAl5d25YpIkJKdN8xOwD37QsR0rFHay+kCoDUZqdI69Bv+i/yxuo4QIe4IqqeLAVWqtjmftuYLnkVZ6lmhL2Vy60pZVr2YqsIqAONdu3vaCiDtP7KYVkdUEqyU54fwNrf1A4wbxMUZsuAAahvblB2HYIrMrrRV+tnDMBbXUjmgYcQUPcDkAIMMELLumwDji/eMbOMjYMltt5Frprb+1h6P9C666wFk7bn8P693kqpBQllne9G+R+HlrFo82BKxO3fuxH1sOMeeHsDiKDs6dzkQ0Leh3ZQQIF0qWvrrkxqWnq4rOUF5sBcqSZvr6YKG1A3LT7aGIsgTAvC8byuG2MpuDiNK363cfMs4SZwkHGwwDmtAZBT/h0Y88DTnfDWpiSsPX/9mUTWteDr85WIUFNM9TkoBRjoYDcF+E12WzbPxZIEaQrs3hu0ptCcVY/DeagZhWm79xVIx6WJibTShC1wIQJZduvP3AF6xWBorwdW0ZdqTncLLDbB+GEPfWsqoymYHZZ278FaKklZlUtdKMr3XD4MKLtkLVXWzxZVxLFHOuzpeO8syM2F9OYGAobm2Lkwn26yGe6cVlvf5d2ebSzGgDyG1tJi7dvGno3dM0VX4nlTdiKv7t8FXwyw0/2IOq6lAqoJGPu1J2kUyFQQjIbbeln6Xmzvk+3tbObaKPYOvJoKa7Otdr5tx8IDaXX2js//Zq5hwad2DJhg1E4qsHbNTgZgLXewM8Yp2tp5piuuQIa1b5LKNirL2x1qHyBfHNpe8j6QHAsYHXBdk2FRtkbJ2no6h7m0VkTVA7a82bMiK+BrYAIzvJH02wbm6CYwTq1tF1yN3Ye9C8iHkWd1pYqxBkHtuSbCGM0O7NgOpQ9YDsyI5t0dpN4intgTV7uIsksofcDlHcVwarrFcOjZs3m2fexgh/Wrl2lY1aYBIAaUoaP/MyTuvS6gDjwnz3/vHuFHd1huIpYD79Pbizj9cnwYMXzaN39MZXUQOaZ2tlUA0VoxJVkVoe181BhQhthEagBQjXXhPq3WDied2OeYL+De9d+FmSycgDvEkayVuh8BsyvtHn19Wbuo8MVbrtdmx/3mBXVIkG61NVwblgQQob+2S1T+3SWEG2OJRQOe+g5hyQyeh9S+F2G1dbVPCHc7680ZUfuA8xcd6bpvIkLuEZcd4vkOGgXLDTNO3kt9uxd9/BjgKOLF+oIuHaL1M9YQ2Mc4JdQhQtMOwbLndWQ7x61fHL0Vke31MkRgiIhTgeRp/X4AcaprgFCBeGbgsNzgKhNXBkXt2e4mWdCY90bjveeZqQEUa4vMxGr0nrTMEJaB+529tIHHn+4w/OA/p38xV4oN7RjgqrWeyTvg8p6t/Ponfvbx64jTlzc4fymYvsyYp4CyCy1jKRVYbviMtVPUxPvonhl8uhiWVJgKsfUIVwbpUhi0Xt6vLZjCOSCdIsJECu/n/3gHjbxfCCnbYYG10wR0AJZgPpWNSY3MCC/7hOXmPc9oZe9YBOByH6ytD4EC7++bDwxaZ+FnaAccf/4Gn+M9xm8j4hmNTlw7oA4K7SrCKSDkaOuCdPLlJiFGawElQDoBx2/3iE+pqVa7WrUU0rClUgRKCtpeqgM/M2T6i8GAEQRmkpcbMQq8ooyCy3s1GnXE5V3A9EYwvdXWwkgK2uGX98AZEXkvEGOG5ANwEbYv7fYBy4GBNcC1FAow3wqWXcJ8y/Wm0ys/57dcv3eQu9wRadMIlIENkZthFUb5RIm4MuIMDM+FC61jk2CN/DsUIjEagPk2rNz9zP5Y+1+xbjffdqhRMARh37ToNbTSkNiyTyhDoFNzKShjxPGHPRfVnotxvlcsb8njD4eF/UA/9YiXgMPPE+5+3jVqhlT2hg2LsufWwH5o/RMPQZmrcfUDvNds3pmxz44uyYpM2GETp9oU4AAe7CFbRqvSqQjeKilar82+YxBvl+SCertjT79cN30oecCHiXXNuh+wvKUzFS7sV5f3HWpv4zSVFkSyBYDdU+WhwgMgUub9+QJM1u7C20adJ6LZX70h+AGugdIHlNGofcLNd/yKG2F7Betr5n/CrEhnrIYkrEauf1YMDxlxqugMOJi+2CEfItKxIJ0yx/KyGYso5jywP1+09gll1xFtU0UwlFo9Y+jr/Ot7sIWQoowJ+WDOf8+DII+B1I+FPdWkKNKFH7Ds2Us4LNz0Grkv2niAQWdrPm91Cem4GDJLAEROE8Rq4Vq9G2DO+IByM6AMEfM9Ha3LOyJ1yy0w31Vop9CbBVBBeEoIF0E6USo+nYD9NwPirOhe2OMP4P15UMP5FPu5fXUKdAw3tS3u3HYvBf2nfg3AANLwCgOEYg6mZGuJc55XR75YZsNb+Xh2q0usEzdFVIismXh/7ybYqyNZH6y9q8zWdDwYdONMyzb62IBOrEcrphsQmjOtItAhNqeOwE1A3rGp+XwbUDqavRqpRpj35iAMCggaAt36ASptnVRgeOiJol8U8VJaL07oer9hLu25Wg9W6+ENvA6cN9kXB9guM/TleOX85/sR8xe3yLvQev3VyEPQG9dLpcMbtgkfBdLZFDNvIuaD9TwsvG/2ygO6mw7pSCd8y9i56k8KoPV+Drmtbzr9EWWIDUCrMeD5xz3mO8H8Bpje0Z5rX/kdgZ/ffdth/DYhnRS7TwP3mY0nsxS0u2FKDXwCgDrSPvLmuLbLLrBf8si+s91RMXweTAmXY5lvOpQ+IF0K4smewdeb9wc3UFEAYL/jeO8HaIwIp4n1nClaGQhAKVsLcg2EUCtpYecCwNuncD1aoGY9lL3fbNn3yIdEldWirRcpAGaBGhjE7ygO0mE9F2rHMZjeRCpf7uhc8kWwnolc716vp5HZlDgJ+s/JbA2VP9O5IpmKZ01cO+llQVgqtuCreIDfcS14ICh5BUQ9Y6z2WrH6cZYA2NCniPy+x3wTEGdlhsmcP9pltH97uwx/rrzjz/vnDv3zgDwKLu+CKYbyNfNdQveDiP6o2H0zt3HbKpKGeUA88BzXYIGM2a28j+seNAf68kcRxYKE5Ub5fTfMnsoiQBWM30Tsv1kBTalqfTEVw1NB95KvbPlyw/MwLIl2OPGsKr1guueZ5rV/bqdqAuYbrofDNwHdU25tvzQG5D3HnUGXohw6iN5AE/0iFVjfX3Aerf5fg0CHgPn9CI2C7iUjnBaOCZM7rb1SvGTIrGsrnSioQ0RNTFyUQRAOCbKY8rv5CGEZyb5JofWNNRFx5JGJkprEgDJpdYHzndc4XoOUGmwugvuqwsCrt6DyZHWujwwounNAOkfz+UZmGz9MiMcJuu+R9xGlD1j2/JLuRPBf0wpakCKt6B/ZQ7eMEXUIwIswK75hLcXTYsELTWl3VOS9YL5XBkuJAZjuCvrDjOWSoN/2CDM3QewF0zvF/D7TlvaVeY7K4EeOEfEULKDkeTY80L/9/PeB8nXG8NcDvvxvM3tu3/AcrAPrQ/MBOH4d2DrmI33MT/8AKF9P6McF73YED3OJqCo4nwbUJUAvEeEc6NMcMuoUgd8khMzPX25gLXBgPrtAijS14bIDpnvugzAJ4gTc/AzMMP4o4tM/UFsvPMPGj8zGug9ferbL0ej+MiD2HQQBAsIsuP0bxe5jxeVdwPxWgOpBLjC/pT0s+wrtK+oNsLwHwini/r+PSEe7WdD/LQPXYB0rEBXdtwH9E+OY+Z0i7xXTXUDqpfkz/ZOi/KIzH497uJpNlgJ0E/fzsgdE1/7IeUc/Jczst6uVWV1NzIqX24L4HNE/CspOsXy9IHQFz286yCzQQ0F/M2M69tBfdoiTtLFcbumTlh6IJ9qq+V4x3zHDHs/SAnpXow5ZMb0VLDfWdmsS4PwfKMjdOoduWNuhJu7kuREHEBRlIn2j0RCiNFTJX5tHmBHShgaX0WiObptMXIGHmt1EVbIULaO2bSniaKffdyjCwwHgJrFfe2o9jxuqllEJJGtz3PxvVDrMCtBgmPPWmmZvx0iYtaQD6PeoQPLfoWV3m+Nizv22z6wsK73bD4Gwff3mYj1UoqHX9WeNZllNLn2MHO76Kqvs2ZvtfHutcrTPKRUCo27HsKK0hjYzGFwP7NLz/1c0UZEddJ2JEgV7zToxNt7CjVlGQ5O7yLlRboZgY7rNNrE9CK5QzjXTtq4Lv7a9Ots4xsD774OtXbED0RC2js9cowcrhoolSqer3XdNdFSuUjsSoIH3TqBHEWZSCoNSOISvkzW49X9vBNKC9SgU3QSjakhgFaDYei5mmKv9vzkdHmzBKKkS9Br4sL0t4PMzA1+55nWdY43cK575QeA+kcLsqA/7FYvBsqyNieDj7xTHIGgZ3A09Df45/rdIa4+hxhYJ1eTzI7OqjXkitidU14ALwvstYMbIxtgd/ZYp2nyfO/3+7DXZmuiN4mSIbY12wNu6D7NPEueBaOtKiaJjGQxNNXtROA4qAKJwrr2kwbPqdTMmfr9GIf+dl9o8VTQ6koMWKqCdAqB56+xpo76FgjW4b78nAEJRDNL34DYwW33gq3togaCNv3bRMj2+rmnzt5mmq3XuV+bYtfXuc23+AxHmFVC8oj5i8zuj5WkSFA2ttgqQxohoDIBqIKIFzsh1taeb9U6qtVw9BKngq83CNpultGnapZb1UgcL+jU49SDQg1zel652Ocpq46NAt+2MhKAaAtZ+8NshtmCkdvYnia111pZVW/8aWeOmwQNGX4v8qw68zzCrjeUaiKz3Iuvfwe7V6eD+x9aQU9LFQIBte43Xz8CfCel5M9ehA3TukzA4l7aXPZuxrYaoiT5CHqVR69bMGCCVa74fI8+hLWOkqmU8u3WNgT6PhvXPNuDWJK2Ozn8uHmxYhgoB5tDDgBysZ74Hklb37MJUUmye+mDZPtYbLwcD6ReCt60Vi5KuCGdfma3m2ay2L9R8pY3BKWhnhbyy11x6qw32rDrQoXbGgrHvY2Y9QuL3MGTaZ23WUMCV7yPqzClp36Xfs0Qg8BL09Xx3nyVwj9QI5PsCBEU4R4QZqEmhnUIWQZiEpfQ9AKV9jLMCVZrNCNbPl38UQRTRW9eorr6Jrv6pz2crlzD/1Nd2G/JDBykEscNi61MZTNTZRH06hbZOf8KAZOK9cnywfvElrvtZANh5BgBlVMvqMrsLKPQSmV0dNz5fUgIBnaLOBpCnNXMMALoE1F6MoCVYckTOAeWYIHNo5xMqIMfEwEoYOElmcCsZK83WnkEWG4fAoBzKmlSxwJMJie364XtLb3vM9lM7SyqDZNownie155/mX6nFFJFmTIqFQjPHqM7uS4nFGCZGFQXdkfTgvBMsB9pU+mdrwA5dz3X6N+s6rd26H5JlbefDxvdO7ktzLGrkmmvZ6UEx367rie9RICrqrmKpAbW3PVuCnZMCXQKWC0uhllsG4GQIrH6pBmM2Nj8HLfaiL4811vIxryt4/rrT5W+7fu8gN+S60pSaE89B08AbhRoysCOKi8oAsx2A5qzQ+d8ErABiEGBSLDtBfJMY/Cx1pRftupVq685RFcRzZrS/Rd4qLBhUeA9TWQJc9Y9BuaXzB+DyNiDOrBGIi6I7ZYSJGVApkSj9ywyEgPntsGbrlspMxzGvh60woxmU95/MCYon649ntRthqcx2zRnyxP5tetihHnaQaTZnrPJ31vwbfQeZZoSXTLXBw2jPa9mRPqHuOajxtJDCumfQG+eKcCrINx2mW888o9GHpQDdMiNMi4l8hdXptCCiJhaNh5euHShq466JWe/5hsZjuZEGfEglJSIfiCqGdxNirDg/DZAzkbAw0+j2j2uWy1kA031E6gXp0huSTz5/mDLChXRPOV3s4BuBLkJihQRuFL9PDtJmUW/qw9o6nzLqnhlpR3prNHTNaC08yOz1swBSDfkWAxFo6GsPa06OpjKYJxrbsAjRWxdrnSvp19Y70AM+qQoVtbo0m9vjBF0S0hBJJbmJTWFPKlH5cmGGPR2l1Uuw4TezKWFR7p05M6hPgRnxiTfkQZR2PDlkKu13XHSWGe8D4ikjXCzDaAq1cro0ldKmguyK5gNFjmBqw42eDKDRg5cMuVh98lblWM3JLZWOsGVs876DBmrLRMsg12GlykHN3JiD1pwy/2swYS9ZbYnGQBswFYhW6M5ojhHNOS09A9zlQFuS94r8JgNREceCIIplisASzFlQYA7oPlH4JU68N4KA5nxOTi+vV6CHhgAMaR1nYFVnFVlrJJ2q77RwH9eNhxdy5byViLwPKF2w9WM2bFhZN2JOtB/+GngIueNfO8vm+fsBpEtEmCKZChej8VVlxsECUIruMItZ3uw5Z11ooEoDuoy5459VO7FMlCJbr9F05FimExDPingBOuvbt2bEbY8tZS0xMAZAWCpFsaw0wkGT2gWKdRgTIcxktITTDOSC+MlqjLtEmvDmauO/H1H3LqBje3peCLyKkKLtgW6u7DSQCzD2rMm0tcizJdo8MSAvQ0A+mIM5BAZykUETKdulnTst6Lf5R65XrChRrIJg4Oc5OyXvOO55b0DOXun0p4owFoRApx2iyFOCnhLPi4U2Ugx0CwWISVr5RMsMWuAiaowwYzD5+dNKU9xui3BMRa7ABblMDfgDCFSmIzOby03CdE9aaBl5NhXL4LlDGxbayZVtwSzMNAYDsHAVjOQb/imDcM3n0PavWHxVB8H8JpG+/ZwRlsqgrWeWcc2CewCORsNnaRUoBKU8NxxUn+/p5O8+6CpyIwY8eIlQYNlSvBTEqWK5S1j2AeOnjOFnn6FDDw13KIOgfy6I54K8j1huI9K5YvfzZ/Zi3g/MpCvHXzKVn33NiFOKvYzNWGvcX9Io6V7Gpikg7BI0MRteO8uojsyI7j5RWCfvuQ/n24Dp3rKlz9r6q5I15WuIYypKenU4L8CQUEUsu+wsBVCFWulAl84BbEHZMYgrVHPOJQABAABJREFUPQNY7RQyFqQh40/eP2JMC/724Q3Ox7WMrJ4T9CzQIsyUjZzLsLCfbH+siBNthpwnxBBaxr9/DqiWFa+dGHhvIlidB+cEPsh6cz/8Gph6/uMB/UVx9zPFfCBFNizA/b/lnjn+MGC5E0wh0ke8RIzfsE6zdivtFwDiMWD8NtgaI7257Cv0TUbsK/aHC3KOOH7YQ6aA/iFg/MuEMNOXLoMg75UiT7cFYZ+R64DuSZA7YHrvwSfQ/abD8gNBPVxwnnpM3+wRzoKbbwLSC3D+Cpi+zEjPEbtfSwsup7eCw68U+98smO8TXn4YmAXtOSnpBIwP1QI3sTMJQOW+OX9pFOMXJh1qT9OYb5iE6Z8F/SOTCKXnTO++1ZZxD5ks1Jc/kpZ04dloIlkLs+kAz83aCcKNoOyFvWUvBMyOf0Zf4e7/3WH3qeD8g4jTn1oXgxwoUqsMUnmGEVwoHffX9IagYxkYqMqzYP+bBVBg+ZMeeaCta4C0Baru9+SbCh0qllGxvAdQBOkp0p+1WuCwz+i+XpCXiPo4AFmQjoHA/XMEELHcV3zx04/oY8E3n29xuRj6XQQyBXRPAXERxAuMak5/KUxkP4SiZI8pf5YCVtBubXv+O6/fO8h9nRlYaT78W52Kt8nUbqWtm7NiPy8DWiZCFJDOovdCZbEgRH0JwUhD7UXN2a0AoBBQlKem0EQZQlFoYRBdoQhB4LoTfqDUQVCjo4mrgyYZDekXzxZmQ0FR6XB4TZAaAldB9UbL7oaixsDTVo/kB7F0umYaPau0pZG5o23tU1o2qzcUtdRGR2z0500mcptBVg/wNsh54+krx4Zjbvcj27FdXy+ODKdAwa60GlcxepzXC7UMV881wNc42sQag/1+wpAKPueIogkleZ0ON78GzkOw9QQ4chUQUC1Dsjp63yc21GpmgTXArWDGEmjBDAxMaO8D9+YWXfesraNhTeDWlkG1A8h/Xjox2oll89yB8RgxrMCQiiIlQa0rm+Dq/jbzqoFCK1IU6usyGtMgW3wZaEQaVW7xoFqbQ+AZ3ZCtDlS4Jt2RB2AKnAIEBtlSaqux9/sKKTCLlyuulVvRgtH2/zHyMxsN2kXHKlDDFeB1lT39nrEAcJXp0yhrZsSzujGsdWzRwA4VIPu0BWMloGULtwEu2vyLaVSJ7W80KqIGX5dcG6W3eqe+InQVwzgjBMUUEkoXIUERQkWOCbWLK8slcg0RUdd1bb2+AuxLv7veX6+Vq3n4vsszjXnDRPGP3+zlavufAq4WdFpLADUkmUGuWvDbbogadotnc5gNDF2kur2N/bXtwtW+kmJZ0E3NITNXIFIPOgwA7Ua0xvROe2oBrjndzvhoYKnQIV8L6I3SawwEyYqA2jJVni2VoqtgjQncCMYG1LR93NrtrM/YmCP+x+j5V3O2yWC2tWg/d+DN2Uu1ZxDKE351nmlfZM0cehBp1G0VULtMPJPo5yugm3pXjZ7FlWb7amdg5WFBiIp+WBBjRRSFiOIowJzJeKrWLkbNfrZsUQOt7B5iuC6VkBVAbev19Vq2+xMVmqXw3U1T/eyzs6D5IFY+VXqsdDnLGmgEUH2vc2+uGT6vSbOxskxJGGStVXSKbgWZMC14dZuFq0yxA0uefWtlDbbe/U10crGyL6wkKk21tQjxPdiWtJ1NstR2tjd2WeZmCksFxID3XBFygKuthpcLMM0IKaIGcyPd9/K67WIlPxHMXDoQab6I2ljxrK5tLlsJyy7xzLRgU9UyU/a3M8TKKNAFqBfaEzGdA2e6OItQ1W309hyR9YzJNj9Y1+PKZlH+3LK0GArSuGAcF3yxe8E+zXieBzveAkoRaAktc4kgdv+rDyGvlm27FJC5IkSF7ML6TI3dwjFo60TVnJPvfmAZALkQLJd9bBnG4OytAvsjqEUaYNnWnq+/oCtYqevfCIrYV3R9xr5fMIeK81DMbyANGUqwxwPN33Y1BtgCBAuEcokoOUAmJjzCZOUls0Cy1ZXOXENlh7WOc9mMl89noJ2lzyPrfnCMLBlFNxsApy6y6ANtz57dX/RAlmAt76uS0eQMUdOH8DMRGxvBOm0LNisgmeeWBgB9RegLytAxIB0AGSr9jcVtjDbmrI+Fn7ME1rlu2xiIPYofQ+aPayB1XAESSwRc46JAUoS+QAvXNAqATiFBkbqMu/0Fp7nD8tK37LLX8YoCOQtiqOhiQUwVJVXuC6xj0Wyb3b/HjE1Azt29zbqTAuA/VJBbu4BYtRUHS11tRwsSYU71mTe63PjhzL/yHsg7be9pTwQ7kAuQXgRSQ6NchCyoU2CmK9NwhlzZt66CkyECpB5lR5S2f6qGZnrNhRsdqyfy7xdpvcFajaJvGlVmCpey0ooL0L1kuMDNlSAL1oMrHe3Z3Jh7LZ0qJAUEP+BFKPpxf8vfLZl1RSkyc1srZGYgJpYp07EHdgcb0MraUlerXQqCCOrQoRw6aEekuCZBFloWR/spwqXNiDYhkY6KnOwpBwMVgDCvmTwPCqQqkBU6CEGDba3mZt6dmqA3BXHMuBsn7LoFKRZMtwmlBlQV5BxxOnXQOWL82w79A5DOSkRMgbyPkMIaaRq2ZNnaDrgZVoctCMIlI53mtZ4NYBsfX887KkAi5+s+sEtFXIikll0woy2Y32zoIZsgICRgVR/kZ5SRNVu1VwonBEU+WKCwuBAAnaI4i1FMBOmSEOaOomquxh3WjDoph4HZQHBORBXDMxX3iIbT0JZBWn2OVEU6sa9bmC0TXiyTY+BLcKE4q/mUmlpmKcIcGRc/6tb61+gZIdg+dEd/PwLjQEXdswldGXhD4RkT/vGWS1tlVs9uybAe6A78hABYn0NmccMmKwKUoW8MAEfCnTIblnAV/ITCbHYTyTPVc36XWPaZGWtEQR4jqtmUbE7tfMf5LjtFGSt0XzDsZ+yGBX/+7gNuuwnn0mEuEXNNWErEp/MeH6aIemY2V4NYHY2wXYHdGyfZ5jxYsBTsebzmOQRg18Mzvcw8U/H9SsRs24YGYFABNKcqLmT8LjdWk2ZXGbiefM1uaZF1IEJcdqZ5EIw5U4HYB9KWZpDWJIrpLWvcu5eCeKGDpGZb4/MFUQTlZkDdJVKALeOlQWjiJ10BsySQEzB8Mvu00OFNZ6A7VyqFmh6B10iGxTKwuo6lLIVnSDMMgCvMp0eq16r1LWVgYONpir8CUEyrahPkk83eRQBQCsKL9aT2PfRKTEpqNSV8oLy9bQ65LMy2IgVUEZQda2OdEuiAGp/dKMHLmlVoddlu808zAwvTt1ArDwLAIMeE+NaaNDpeXlu13JK+Jm9m/NEPHjCkjF1akKTgvr/gEGc8LDt8uBzw6bzHtz9/i3AOiBOdhHix+3IatQD5QNG47nlBeL6sdsDuW52C/UpZGlaa0OyOi8XJas/LEDEdOmZt7VlYn82g5LITzPcV6UXQPxHMnG/pI+Q9A3pf855l1QDUkXWOGtyfiTgbM2N4AOKCBkTEuWL4XK5ARGZ+KuJTQTgtqGPC9MWAMgjGTxXdsyAfpN2Ls4e8dyXr+MlWGD7MjdqrQRAvGWEuqCaUBYEBmhW7Xy1gK6aI5Ydv+PqpMjjKBJXCXDF+nBHOVA/WeYE8HRFP7FBQDtSsEGNDaBeBfgVF3N12BWGNQkFR62/LFlVAepwQo0DjDhoikivmBtYC08+ytRzXgD8PwqSIOVy1E1SrE/czeH7bA296pEtBuBRoZwGzCFKmT5dvI+bbYCAlxzmeWUJVDoDsMrox4+3tCbtuwX13wSFN+Iv3v0R5J/g87/Ht+QaP5xGf8y0wB8gS7HwJSCf3DSLPnmWHMCYsb0bM9wnxXDF+uEALAHXmVUH3cEE59JjeMb3YEi0GkIVlUxbR7Dkp9TUGTG+pSitZsNyQAZAPZCSEWYBfsk3T+at1bYsCy7uMN1894/K2w8ubgSVPNp79mwlvb0+Yc8TTacQ8J8hTZ3WVivnegRw7x86CeALw2AHorH8rv6t/4munt0DZK2QWPH08AEtAmhlAzW94FsUFuP3LaMrJFvBZgHb8oSCPPcIC7L+pKIPg6c9YO+o+GZMrPMPq/QpQhWLxwF4hC9A9S4td4qJWV10x3wRc3hOHZ/10QK8VcWLw2j8pai84/ohrMO/UbIOzExW7DxUhA5/uI5Y3BXiM6J8EmIDwmFDHgONPFxz/E2Xm9sRzQRNtzGQxU3yK6B8Chgfg9hcLahQ8/XnC9MOM9Clh+Myz+8NfDDwPjoruRRtIF2ZBeOF4nH+UgaFyzU4sRdRU0e0W/E9/8jPcdBP+h4cf4PG4w7ubE35y/wFzTfj25ojnacDHf/Me6dk0SAZFnASf/+WXgLJWPTjY5qC3B+uR7Yb6ZzKuyiCY7+kTDw/aqOd5pIr2/puKMr1KoPyW6/cOcltQ6qIoG7TQ0XcV0MGZt+jB+pp8UOS7Aq8t8Z+rKKr3qawmKS0wqrMAWiH2QTGvSBMRxPVAdKQ0XmgNQyblNCzSxK8c+fN730qnx8mRfgteXxsTC3yZAajNAHhGtQFBC5vObxV+m3qo14L5vEWBJgtopxmYZsh+hzqmllUAKg8bVWDsUfvEjJ5n1lr9rrZAWtNAIZzktEpDkTfZ1a0SWqutjUYB9dpqF3o1epJnylqdVF1V3DxzC+AKqWadkSKOGcOwYNct2KUFQ8zIw5rCKxpwuu1wmnq8fH6LdBboZKCKWv1i9awSJcmByGyibJa4KmszzxPFu8yZdOEVOq0RQWRVnvWrWr3MoqS0mYHILr/vXxFBJkCrFeV9ojoVg3QdHSpcFEcB1Exkkr0fV0cyFNCh7+LVmm5Znuj1HIbmAhboV8rBV0FdBMHQcMlYEUl1BLKutQ9ZLeOv0AKIcs26Mm8TNfLMU7U1LOLn8TV9cHOpCAN1keuxBVrG94o9YC25GkgBrDRl74P9nbEIq7pxJN2qmLprQ+XjxvFRlkTUZCrTIZCyNpNOIqaKqbWyLzdCK6XWzkSnvD47brI7vdHbxgq1LG7fZxyGGX92+Ii36YRFIyoEj3mHx2UHEcWn3QG1MjshmRQkNVEcn59mIwRQ2HMDllW0cTdhngYOGJX7OyrdwYz0do4AeJ0t1xKDgJo2QGYiMEmwRJr9dBYP1R4B3RVIJHoLZX0VAyuzC0kosBNXoKWmAFj/8nA8A7Ui9IkKsK6qDqCqNrQ9LGjCJyFTbIc2iE5qulQKY2U6g9zvhsBau5ktGCNux19nUlXZv9T3grNXbDxbSxpTJpZ5gc7ZVLk382GAaBNLy3kFUl5lHsUol66EG84ZIecV5BBpAe6yJ8iyFe5w5DsprF7SJ9s+v1iJzLSQCh3dmbL7MPvldW3rWqdNK6OijhW6K9jvZ/zo5hG7uKAPGZ1UfD084m064jHv8Xnc42/6d/jw8RZVk+0ftMzndrgdkEpHo7U6qGfjLbCM8mbNEtQ1++UqzyLM5m5qtUlB3dQJmg8QHCPvGbTr5FR/o/ZFCg3VnmvO7alnvOpYga6a76MomSJSGqkyCiiCZc7jBMRz5jw4K8HYYvE4I3x+RtiPmN/0kMT2K+migBBkdTq1Z5cIyCuGx0IV35fZgh9S28NsZS+7rgW5jW7/dALOF+j7N5i+YD/vdMwrayKKdbkoDGJNlV0vE9drl6BxhGhdz9MhNsq7Z+lbVtUAJlHlHukS1M5qmRZWcEwDyi4w8zZV1CHg8iah9mhCNlufTY15v5ozos5StQH3ZTCQvhLIBNasvgM+TsPf1uqGzXEVu4phWHA7TNilBbu4YAgZf9Q94CZe8LPpPccvVLwcRuQuQi8RWlbQX1SbTkneRUQBlpuI6TZg8PVd12RDmArk5YwQBeJoo/lZTSjPz90tCyYIqjEJ80iaMJTlNa2uNTCIT0chAH9H3y1O3PfhkPHFzRFLiXgeJ+QScTyO/z/W/qtXliVLE8S+tczM3SNii6OuypuZlVXd01XdbA57wHkiCP4C/lO+zRNBgBgQIMAhCM5MsWV1ia6UVxy59w7hwswWH9Za5h773qwu4FYAB+ecLSLczU0s8QnUTNgPM14MF3wad3g67lCmgHjRoo4EQd6J7UViCa3BcjdKv8KKckwnLTzOdxaTZwJOQbuUdlaXnXbU4/eE3duK6QVjfKP8Xn/uqhxN6D8JDt8XLHvVL6jmc+t0AUdZ5YM2HMKJQQuAqEl5KFp8C5MmrXEUE1wUFdRlUn5xRyh5jSucPpNJsNwb9Dfo9ZXCypmvhHTWGA0IwFAhR6WXMGnhGGDsf/WIP331AX/z9g2m393oeA0FCIK4z0hdxjgebC8RpE8TahdQuoj+fkR+PCCMOp/nN3qm3/wa4Is3OmAKyNoJRxKk/YJl6XX8AyCVkFLB/+n1X+MX6QP+L/W/x1/NCXf9iK+GR1QhvOrO+DDv8S69snmle2Q8EW5+o2MyvrKOtOWJ1WIIbw5VqDjb8KlifMEY+7UgwVbkEiuWdE8VZXwWQ/6R108XnqqaPPpmWDpCNYGGGpWrU3eefOrBm/fSFpcQUPYV6PWX2vr0BGBhIDu/Sw+CdHZu2roRKMxqc0JaAMxjRjrZTmVdEC462UvPyGDtQnvSZp+fTgXxbJYTx+kHCWjj/LjXp6S1W0WkCe28KKR31xm8Dmt23wJVfS/19ctw3orCBusa8KcELBn8dFp/D1CbBBELcsv6vsyQ/aq0CgB1UCXFGjy5p5WgHhVOohxquhLZoF0ApNfrMoy8JhUAEJqQjF+XqhzqwcaLKMKVCaUIeEeoVtgovaDcFByGBV1cq+wvugsOccLHeY+P0x5TjjiOPcYpga1i7VBbJ/U7rKtCDzWvG7eExqFiQT2VrwR67PsYM8KsXEZKCRQ2SVpFu0fdxHSnDCZmWA2KIqxKiCWIkfiBYgOZ94Jy0GiTd9lsUnWh5jlCZkYRQtrAXpX3y+B9BM0VIRtGwxLRps7a/q3IBhFCOmfUyZSt9wzJBu3Bei++0XKpCpHKGvAilzYPt3ZKtGRgo6rb4IIO8Yape3siVapyx9O1ZyuNM2SaIDGaVzNvgnxLCByNQKQdR+P1whI1KhXNc9RhxUCzvqkdN7ibwyqvuNdW1Q3W4QKhdXlrYn27PoJiXdflZu05bBUG7VfOtRYbyPaUWgkChWsGEqRQcB8veJOe9HOE0FuH6dR1CLGiJm1RuKehz3GJGtBzsQRMNtcE27s2QkZNmdv1CjzB3dzD85fDb1tX1lAYWyXlBqs01ELp1oKBjr8XEwScisLuOp3nC4AcAoQYcaTr97P3bH+70JAYxJzJEBoqHOMJuSdu6VxVTLCauIugISy0w1Ub+gaCZm9Ez4WvgB/uD1tkjCWmPM5aAJqyFiIb0mAtRCEE0G7YvLGtqSIq0mfz3AVkqJjHdq9FS//sdqYUTYLrLqH2AXkXG1RZf9j+sqJygyRa16uSIUXcwoVWESByD3PW30uPM1xRv/a2ry7O/dMfDZMWOSQwCgHTLuGcOzAEXw+fcBtGfJEe8CKckahgkoiOFbqWDXlC3j3pGTVasOpLLUNVy1/sLFm3AoVbTJUK9r3G16gH+15wiAwZevWuttfu7YQce8zEoMmuIWg3sCajxzwqhm++22warAG7BAEMfVMTUA6q6k27DI7SAokyhbXYQBYHVVlFfYKNq8PeBWvB5LCDdNEcGIwPH5V/Gi66ZUazF0lPijqL4wrTLPu0FnoA1IFASedbehjtrI6QISIW0fAkaAdXs0xLRKuY+KSjPwD03Yq2YS2ixYfLSqUCQIsVkTcQdyHWYoOt87JPELpd1xcACeYBbHNaIZlhVZdNCvH0Dno1saHukVriBKAFzyBCsQKVe5VSUScMqurSoGvG56NapwgJsFjh0oR4IEDJjFoZiQv2ccaLdL6a58E2jUOc8f6wxzl0mC4R4cKIJ0L3aMlSts8q6zMT1qJsvjUyKNv67xhiWivdB9WrUCEyoyJURijK7aUytemad4AMOiDLnWilq0J5xVXnEhaNN0qvBXx5Oev/P3YIF0I9JvyX715jGBZ8da9JTRXCPEc8POzx6ftbIBPCmRFEC/l1MEhx8RyBNkJCXlwH5hvCfK+NK0eZ1V7XD88EPlGjNFSH3gqp5cxrdWCJF0LNZisUBbwwuic9s5ZDQEk6N8LoyCiNYXkGqJj+BQFkTgdixTsuq+ZA9+Tesoz5VtdhPAPOl897wlSBGiLyQJheaoE9nAGeuRXSFFat+cf5TUQcVWF+918UaVZ2+tn5tkKGgpwDvnm6A5FAXs2QzKBz0Hk5FIgQwoUxvNO5ffnZDiUpRWd6t0N/ovUs7/Tcm15w477CE34vMs4mGJUq6q20PGxZAv7nx1/it90r7IKi0c65w//r+z9F4IrbbsJcAqSrWG6d/66NxPkerfkZx81WOgHdg4593lks0RPmG8ZyQ2sRvcD2NisQFUUnlB8TFPyR1z9BkisKg7ksevgaF4izVj7ne8JyJ8qNMgnqshMNOB3WMxSk4TrLZBvceUyQS1CBooGUvmcV6VUVVtYqob9s0+RxRhM/8Kr7CE0sb9Q6BgLEjfEzAKSHWTftJa+G4l3Sw9V97ooJG/nLPQWDfe/pBMSoFhAWvAssYLaDWcIauF8pEVZLoKtowJ8icL5AzhcgRdDNAVeiMtgEa3aglJteFRwtmHGIsos51GgdGj84el34Dt9sQ8mmdDcJuoe5WQ3oQeTXK6ruDKAMeiBxNuuBAkDUuNuFp8ogKC8z0m7B7W5EsMGvQviif8TX/Sf8DX2Ot5cbjDniMibkKWKYFOrhHAhPTMT+JtYKID+bE82iJDEqpzZOgLQEltyqyZ71thO58gO0mxYv2toIk/E67dBdlTmhfGlo4gsG6k1Gd6t8zJQyAgmGbkEgwePYY7x0WPKqmuqczLxjQCIiFYQLXV+X816bUjDprpDVwiEwQLWHK6o2L2KfspOKSjXIXK065xdN9iVnhfqZpy2mGc2f1pNSsnK6d78uo1b4N+uC+v4q+JdRf4Y6AXY7OP9uCz10bqMuSEuEc1lthkSMK21ry5NcK2DVxOZZ6fPchW18XtuhNgJNPM/mc+1Yi2YW5NFSVIBos69q0EcImfR7iCAr6HEBZKGrsY6hog8Zb+ITvk4fdGggGHhBBeGUe6QuIy+hdZXIhFRAKhrDpnJKUlvnavsSZiBZAa4WE+qa10KEPY+GG3r2avPAOksuvuJWR07vaDzkAKC3tWGcnBrN8iIKYqyIqeg8Z8FTqJhTQqGEcjRepie2nnRtk8QY0JSBfey3nQqb7lxtP3ja/AytfL5wKa1rtnb86op8wfa9qdmSeKGgFWxc4d6UfIkZuIyopzOoSyC6a762IFIxNSI0/3L//VKAne3rnrBbIYKKoO571L0p724soyCCsu9Qh4C8D5juw8qV2xx/GjxDOzEmJFgDAVE73mUIjZcOaDeLrcvt1lT8OAMxYPriBmXHiGej6Gw+K4wwCpFWJvIu4mnuMYQFX3Wf8Fl8xOfhCS9Y/bI/5gMOcUKIBTmqVDdbN7R5NTIbVaOCs2gxeterYOO5XD1/5WGXtZgDtP1QagCSUW3oOslN33wE3RyQB0Yc1UM57wKWL1XoJ46w80qwvKg6b7LtL500rhsX7X7JoYBTQeozYqztEs99UHRQU8tdE11Ai2lcKnjSecZWYJQhodwNEHKYMUFY4xVepCW3wdSp07k26CpnPRfLzsbXChM1qphRPM6Ib58gKWL5xQuUwRJtEYAZYVTqVe1V3MuFCLeFPhn6q+dA8wIcz62wg8DAsq4DPZt0T9UCiY5H2UXkfUQYC+KTnhl1p3GWe7o7R7p0FruYfUsZtNggUZOodCKF+Po6sCTXu4VUVEQ0XqzTnNRKMD2O9rlRv1Y1aXYl3JoEy60hoSqphY0AQ1hwCDNexRNexSN+kd7jNZ9xyxfsecJ9eI1vbu7wIezx7u0e4UxIR2D4WDRuMYunrQq1U+fmu7gWRgpUAPC2Rxgz4ttHIAQsn9+i7ridAeFCevbmNSbNOyC/VC/Zsq+gpEVZqdBiw8KmAQJID5SbgjevjyASvD2/BMaA+BCAhx1On0V88eXv0XPWri73ePxmj5vfKkqHqlJ0Tr/MoH1BeYyIZ+2OOqWlJbmTWs7NtwHLva0lcxoovd53mNQ7Nw/A+HnVBN30BJYbS0QXQrgo5Ha5reofuwR0D7oG5oMmUf1H/YzuKK0AzQsAg0t7k84pdLyYoOjBYPHf6bqbbwjHX+i+t/tevze9oIbuyzsVKZte6pnYf7CutukWlB0wv6igXkWu4kWLHofvBOMLwvlLFeei+xldn1Ey4+PjHn2/4M3rJxwvPaaHG93DbxjoNZk8fLegDIzjV0pbCRdg+DYijlipPL0Wr+Z7bT66v3GjDRLAI6EiArcL+p2KSuUpIC8B//7dlzh0C/71q2/wF4dv8T++/Rf47e9eg1LFm9dPCFxBfUG+Z8RHRvdJ18z0Qot3/UdCMFSakCJTdh8UBfr0dUA+wJ69FjHKTYWMyhOPoyCe9ZzkbDauYROM/QOvn57kegUq8kYMwg5Z1olaR92sXHkZVSdqNRlyCqIdjEqoRkquhYybtVb9/OWWBTzLukls4MQOG6ZSIVzXzdgTH4fQCFSVzg4CAGgG6h4UEsEtWlR63yrvS9HNJcUWjAlrz52LHlRuXK8/e90NamJBDlfu9GfdCuEKTmgJAIWg/+eggdSmM3aVQHjy4QGrqWpK1c916xuXxnfIlndQVCCA1kKCn2UMk+5fJ1eDy9gB6YEh82pPwOBWKeIM1AxVEJ0ZOQQcxx5dzMrHpYrIFT0rn4vJ1Dmt3bMV9XG+zVq5JSC4l5l1f6KNQ3lmVVKhScC2O+ceo1YgkS22usE9GRTW+cRZWiLtvKzGx3KebtLkiPuClArYiPhek/FOL5pOOtbf9+fyLAloHEC//lZl12dPDH0e1TiHNs/JAr2WtOe6wu83UHvvpm67r62z6v8uZQ1ogLVAIILnkMurxBgAiNUDN4T1Pb1gU62buO06bpENz18Gx1onJa0Jqwc6wZMpQvFLkM1zsgNufd6bPaOtxc1cIFqFU7yLZAFmWHTfEwLCTJBEqJmRC6NslIwDtBPMG0U3HW5pa1NVutcCCwBDSYRriw67DqpYuaS+h/m4PutEt+ey8cltiAd4QK7wIOe9uRhzzWti1YTkou1tBA0+k4BDBbMgsCCGghgrcqwoLFfzGrC9NxAke3Jv188wnjmu5p8G71bIejbd9DoErAp5CJa8rd+0pKhxnNd1DxEtVApddcLbuDmVwbu9ISj/lgNQynXRVXg9P1jFTFoisJ3TjpjYPAdPaq+g0GTnhKD92d66i/tBSAXDCwx6TiviZVPMAdZ5pR1UWZPuFFc4drU15qI5BqsTO1d4BjgCyIRSGbkyzrXDufaY+YwCupr7zCpe0mDV2YBBZPOTfF9di08u8gajVvich6GK/Pwlf76OPDJ1+ppXOIJEhfBqXEJYboMpD69z2jl7kmx8gs4pJAGCoFQ9MMuuIgwZweb6dosiO1O3FjXOj2bz9nXuv3OiEdNG2VrjG9VRiKjF+O1YE+ZmmeedYNi88HPPiphVdD+nYoVMm2fNCtHiGnYVf4HGL1aMp1pbl1x2XVtHbf5m3+PJYoGwwst9PZAWwsighkpz4pX+stmb/P5839Y4TQCjTyg8mVChc0F9mbcCPGvHvIaVZ9rmgBfUGgrCO9dr4aXR7fyyKoCFkXNAloCpRnzIBxQQXoUjbnnEIhGLcZi6UJBC0c6/I196Fz2SVmf0e4vTWoQFLD4tSinivO5N6pUNjW08rrTzvzkSQBO4cgMgAiSk8bQp21Il7brulHeJriL0RbuGorGUQnwBBEHoC7IwWBgpFKRYUPuKPGii7Aq5lAkys34eAVy1s7i108kDUAPrM/OhztYwmHWtKxUNSoMiaeOkcbvaIDUdFNazstoh7SJXbnnltA21+wqrhSN0nSNoIsWz7aEmnOviobzU1rxLR2rIpiZQRlrYDtPK+9UL1j/hIkgZWDK156/z0mJwl2SYdM2Nl6iAOTsucg64zAnLHK/mMKAd2vkuYNmpqrLT51rYHPTauvdhRW72muSHTS9i1RDSmJvZnEiYr0MG0b2cSVTglEVjm0qQwisqZo81nhUbZzFK0aJ7/+VVsKaXjgXZ2FMB0kcGLwoJX/Zm1TZ4rCYo/8js9ScnuTyZbY0bsxu8Ipg1SvcgCLMKscxesckwfgIAq/Tv+hnTEnEZo/K3RuUmotfFBwqtMq1EekIYBe6zyOcZzhsSMDgXYJxAGIwv4k/S4bQMniu6j5M+h6VAiFo1D4B58K5qKzIoj5NPo3Zwu4R6u2vJHQDw06idX+OpAAAdz7qeggpAoEuQLoJmAcZJ+Z/erS15TRacj5hUbh8xKDx56FEPQ/MxFNLnQHPWJLZX7pd3VjXhYwibJH/n8uHUqieuIlmDEvtL0epXNC6LEJkFkMKjedGxD2NW241AqEmT8LBUS5D14JWoySFn1speVWgnKKCOjOMcwLuMV/sLhrjgNow48IRdWJC4IHBFFYJUJa/nfYvWwMWgw2KbHQjUMTIsmIuk13lZQKdRrRH6oIf5edSf2feoQZ+7BAaPJoax4XDRvKwCWyGplWRZq4DzHaGYwbn+EUgnAAvCISPEgr5fsO8WBK7ogkJNzktCLgp/IoIeLFFAxfjS3oHx4DSxqutNIygXnRsxgKbceIWUoj7vvgNSAI8L+rmsyT95cGNd3HGLP4YWbKLv9NDAfcma+IlAWmJVLUhQ7ricLy3xpa5bg3ORVcQrBN00YwC6G/09+x4F5edRLqv9zRYm3brG69d1bitfvFlWAA21UMwGwbmyfoBpNdmgL+YRSGWFLmvwWJuHoY69ckJp1mthQ0zAgsvAhNixesV+EkSzGIAwlhAwzgmXRfeThIJAFcFOrEXU7N4biWUnmCsUntq6k/pXPijUlCdBmLXLxKVCiqjgV8MnCRAYtdsZjHNT1BEBzQKZZshGi5+WAvTKAaVcESfWBqYXcNpUMR5yL8h3tQVxK38AarERtaCzSwv6mJFLQK2ES7y21QFglAndl3+g2P3pqPoDhx3q7R6oQLQOjHQRzQ5skzDrM93M8/l6Tl0l/TEoSmBc6QA/KCIG1vk6TXBxNAkM6jtQ3wGlQM6jrosYtSiZ4lqQNLQBedFGpAkPquAVtZ/DNIN9ztvcy3dDSwhc7TYsAveZFDY/xRusPLiZ0H+kK89ULWzyiuzwYo3NMbdyKfdDKyCo0q4KNgEqVleDJrbemeNCKtpTAs65w++nlziXHgMtGHjBKMnmOWuSGyvKoAEMFeWe+44rBNOLWAubgdRrsSVuhiiq3QbNVAUw8TVFQxmH+uFJfdp8rt3vDOoJzAdexTDts2tndkg3BXxYWrBJJOiHBSkUXG4S5jEh9Rlv7o8AgIfzDjnb/VnRsgatf3gRLUzakeapIJwm3VPOo+71b+5Qbjorrlh883jR73UBwkn5h0rI1/2qqeTKmgQsFWHMZqM3qXjl3R6QDjxmyOkMxIh4utPzfMwrgucy6h592AEpotwOqLuIUGY9M4cO06sDaqKmVxK6CDbUhSZiyiGvbm227foWQXz7qJSV+xsVrCrmDhA01mgiZEW0YAsToXl0GhAhLyqoWAYdDu8YxaMmVfEMQ1yhOUcAilpoAX2gdo1NZGquSBc06yKJ67PToiNjMcRCrowsjF1YsOcZB57wqezxoRxwrh32ccaUIhAratTkarpjsxCSNbkHkE65JfWOvOo/TBrbAk13ot7t1nizSNsvaSkm/riG9TffVJwOFmtnAFMALYTuo66Z5c8ueP3qiC9vnvCrw3t8mA/424fXOE8deMjKk9xnDLsZu27BcekRKZmoXMWnlzuMdYf4yNh/o0lgPDKqqwsn5WX2n/Qes1lzja9du0KfOS0KZaVsHWnSLvR8r99vqsSWRPefCPtvK5YbFXeSIEhHbkX66dUq+qlQdoWFn75iTC81JwkXnTfzrf7c7p1aD3lxl+eK+EkRKOc/ucP0IiCdBP3fqIKyw5YbdeMi2H2omDJr598T4ADsPgj2fxgxve7AS2zOC7UDFnINDsHurSJWSxdRhoB6W8C7jGWKmM8JmBmhWvJqU2e5r3j4s4C8F8xfqPRyepsQDepdehW9vf871YN5/98S8suM9JjQfxBztaGGegADFESL00FQU0UIFSlUMAnmGnEsPSKrIBUATEtErZq3hZFRhor8soJmRvqkA7Tc6Bzo3xP6B8H4kvH0pyoGHC/6nNxhJJ2A298qYmZ8qTZhea9xkdrIEsq0Le/+8ddP7+QCG2GBTeUNNik3MZd4B4zoujpGeiDQ5mvaPaCrblrjgXll9Mfu0ataXi3/sZddk9qf1JV7CDskLUFrcFa75qvgaNvhaYNhM69atp2eVeuJQFDFMtq+h1Vh5Ufez1WB1+D+ukWvlRqvtouWw1vHwcbCirJXXRPPE71bKFDpbv+aYPN87Heg1T2YKuoPht+/UJQT26rtBar/ZBVSMbiIW9wgEyRr9T9Xxrl0ONUeU40owijVMUdoPNXacjDbTGRTxW7Pyyp5BBMfYa3aMgOhtsqyd4tcNdeVan/wfMWr5dKqsBpg0FqwIq98AohVK6BRO7gpaMIeSBA9cW9/NID6watFffa3B+/1ev749bW/t3OswDp21IQX2KHJbpvSxmzzVL0b68m+2ByVqvOQeO2AAWuAs30Gdgs/mNtbP79nAlU/GHdHOKhK1HXi4ckuQYXVRHlKjadI636xFiDsY+zg1DlFCHXlc+l1bW5FoDZZP3KNrZsra8AZFl3vbHOcMqEUQq6MURLO0iOZetsiOs8rqN1S3exzNaBB17ZdZ7J/UzEIMwGtG+Hj5kJcApDwNc+/3ecPx9/txsgalls7oe3C964tgpiykZePccVpdx5XG0JbJ1fj7e9tnfmrb5UKeU7p8C5sriDR5FHPiPU3r+Z5qWuy6s+wPptT9lzJfnZro7NeI0M3V5t7rUO1rj9pnWKD2QFtvgq7kIqsVIPtXgRd39I+g6/mohDps/fjyTqvW40Fh3FKNQEmi4q0BkHYVti3207bM+y+nM7TRsCXXvEuuXZ9fC+nhXCZE7pQ8LQMSFRwqj3Otcci4bqYI+t7tvOI7Gzx80dgY2b35UWC7R5wRVPaPKcKnY9u2STrIDZOryEVrrhpDfWhf4h1bybWTm2fFnSxoIhavHVdRmfaCmz+di1u2aJ0tlPI9+ftPLB1WYNZ4m3E/drZk5X2E2a5soHxZ9s6urbQGufau9oOufexMCTPNVJB5x7lguaTfHXx/jycC27eu0Ht0FYdhes1dXXvVRp312lk7n3sZ7Dz8LeigTXQ9b7h82bTLd9+/4oL/fw62hhtvig6b3zf4wJIWf9u2jKFsZQAJsE5a1d7qgmj6J+lRizyw/jTVX0dgaJaC4zqe7hxqGuklRkjYmrUQZPcyNdxgXfwK35whpO5nsASPvHf0QeBECsO3YwhLEhUwKQIthYvmr1dsD+KrNMgn0iToCXI1bohK846os0Tzatzw4pwTmtBMR0Lc0/x32v7zWL70EJN/BCbZ0x19Vp1K1Jv3LDPiUrrddr7b6k3OiewQverGCKTWnMoTAKeDGXi2/pmD22USdvfmo1jdjShrGgEd94yl5cwqQAXePOeFdp9b8IV28nkFpPSaIeUahtfiWh2Q4pOsIaJ52SbdVM7K/6LPruaFa0gAuvqao4WuCJSRTKIhO7j6oAilrO1ZxOrXjvs8t2eKG4+35SiZQwWP2/Wso1pGdAg7LzoDzWE4z/i9U9gIRTA9mA51yaPriIS2hVUOw0NfupQQS8mjROmABRCLdrlIAL2NxNyZkxlQEvoshozl53efHpCU8uTSKgcUOMAzhXh41kr6rsecrtbE70KU2gUxMlNlTUIkRRR7pQzyOcFvMyruBSwdlYB5ekxqxWKqF+cMAFDv8JeDOopKRr0surEch/bCWiwZBc4WjKoaGdOhm79PtA2twZDyRn8cAKYUW8GPVzm3ESwxKrt3tUqfUDZx6YyrdAY/YduqKr4WEkXpZ3XKIlAA1oyxwXNhkL/tlkY14ABkBVW43Okt89ms/uoQDgQgqmb1kKQhfHueMBlSTguPf5z+hwfpz0+nPZYii42bOBtql5LejgEV6uTZvXES7WOpd7z/NkOqMN6/3NE8CKEP1tTJaapaPd9I+Ag0buaApor4qmg9IzQ6WqMJ92E5ntAbgrQF+xuJ8Toya2KDiWuulmQBkOlauIjYklKpVUldlFFwuDQNusq0iYpoVxMaRtXsNQmYFPN0mpe1MLEOv80LVr5dY4rURPBaRzEbcDvr3mB5Aw+7JWnW0W7rp78tgF7lkixzcmUWtcM3sFtY7tRLfd72XS9roIlVjErtVzRDvVym5D3jNwzlv16oNWwVgFblzH4hg7zsdRd17sJ+hloEE21ylrsc0OrpMMT46BdoTArhDaaQEw+WfKRGMsl4RPv8JdPv8A3/QskKkhUcK4dnvKAqUTsugUiwIU7kFDbQ8ui+8BVt8aLcVgDQsq8OdS3HS57NuyHnCZ31CV9vqZn1wSOctXOdGLUTChWOCgDGi+u7EWFtvoKihXR+IhOOwEJliUgZ8acg8GuGCUHoBLKsIFeboLQal0gKmbtY4EGmToxPUvKlS9t//bnFgzO551RlOvgu1oXtVTI0EH6rsFct3QR/0wXwAKRdm1jWNWSbb2BCHSz1wtZXIHWhNi84GDIHOlYET85q8iU/R5Ns9FsNkmcrYVwWYCJsdx1WPaKTvKkNQ8qjuNoBR0XDf7yoM2deKKmteACRlzqOodY5z+Ni66DZIqwZkED6DNyqzYJhLzXc14FRQjdJ8LjH27xuNtjLgEvhgumGvGuv8VTGfBhOeDtdIPLqYecIuKMBs+szsCpet1x0vldPfohoHamZm7FnXV+a1BKsOvPBegThIOiR4Z+hRBCk1zl+ALpqeD2dxXTi4QPfxFMGAamnmz8xQCkqB2N237GEBeF6wHoU0Yf9Cb6qHvxNCWUrGKC7kPa/FsDIe8iODCC7S3hMuk89wSyPkvmYd3ZqSKeMvbebR/iVbAXn2bwwxlyGDB+eQBE0ANNmyScdD3RQTU9+OkMPmusUg+D7gfGE3e7MZqz5qvMKC8PALOitbY+pClAdlAV90kh+3xZ9N9WZJIUFClHhHq3B24GzJ8dML2MLbnQLrT+nffcVMN935lv7fzvxZw6VNmbMiE9MjhvkiCsAbUmFv41RjhlhMtyNYae3HARyKIome7RulwhNARZBlBGxofjHkO3IB4qGIIP+YBvlxd4l2/x/XKLp2XA+/GAp6kHjao6DAD5QJboMrgXlD6BywpDLR1hujNucB0QLh2W24C8U/5498nt7VYdmRpZa3db1wEYNLqoOFNmoO4A6QTTZxlg4HY3I3LFX7//DP/z8Zdgruh6Q6xlBgphOaseirw44+effQJD8HfH1zgvHfISgKoJ6/TS1xY03ja0gXuYbx1VqGhSNw8CebkgP0akEyNeVIzK4bTpqMlvHOmq0Jf3wMc/J+Wj/l4QZqA7VvAi+PAvI04/L6CZmvgRqhaGwgXYWXwVL2LClHrNyw3h8llqdEiFEu91vR5UY6h7IpQHz3d0zggTOKr41NOemm4FL8D+u4ruSWkI568HdQIRjTUpExCVv7vcrkXlGgVyk5UWNwbgKUEOGYcXF0xjQj2FJhiW59hg3lQAnCIkCPJtQb5RXm7/Tu2CPv2ZQoPDBPDbiJoEp18Q8iDI91lj6E+M9MTIR8Y0dPq5ry7oYsYQdZ/7k917/MvhD/jLTz9HfqdK7NJpBSWeGTwR2FBZWuzQ/XN5ncG7jCkP6B51Xu7/EFpi60XGshPkPXD+Un+3HJTDfvdXAXe/KZjuA86fa0z0j3n9dAuhbYGhaqJbhQHLvKvZpjhOXIJgf5jBXHEsO0gJkAqUwoixok8LAgdMYRV3aGbNSVrS0jYxhwza+wfjudZ9jzok3QjmDDcf1yRTA5A1SQsKVSVCKEWDny6hdnH1mwVaN6ypv+YCzLNyVLsE8dpbg51plfOqI1y1rELui2gcWw36KygYt5c2Qb0Fa97VlVpB46SHd2+wP092zGtOB8d+P7hX7abCJ+sYqlG6mDKrPret8JFC3fQetpWuxi9uz98W6jbJJX9Pe25FE2pXtK5WZURRtT4AKJVxjD0uS8S0RJTCbfi88ub8bjLe1lYN2vlIPu4aVJgvnyXBWsmLQDWubuvEQYsNywLZrqJNkMcuzONBYTAvtdlypVjBqWLXz+hiaaJa0RJc3pTGxapx6xc8yNv+sWSmbOaEj60faD/WcfJOQVa4cRO3gXF6l7xW9rdKdTbfr7rF/n6lrPzaEPQCHXLp17R9Mdv729c3okdi3Nar6vMWtvmDe3GogbT3avxzAkrPmA/cgqLG07XqYe0A5zDBEQDAs+7NZq3a72pSpOOFECBDXOezYIXKwuY3TN3X/g4zIS9QDnoX8Xa8AYBWEV1qQBaFvcVQEIPCkVV0xa6bCCXr/ueH63Vl3IJ+348DA5YEadJG12PXEAx+4/68YIVBLY5osUgh2CBB9iA82GGclJfDUdD3GV1UUZJiEPySGQJLegHUyq0W0rhP2Ay57z/O5TPlWR1MS7Z+0JG5Lqo15EGl9X1gAYnByyHSCi2U4nOaU+syeeeXqqyd/I0V0FURhgjSpfWaimsx2PqKsM46QyKvsGWiRjGhJV8Fqd6ZByyZZ3Mx6C2AtLqNiwfqHLYEfbNnOsdsW8EHsFJKrKsEUW6lWplVIDKcv98uqQiCuyn0rJ1OQy+EiRAfA0omPN4OqEL4vr9FooJL7XApCZecNPmbNSlpXD1HVoR1DVJBO9v9TBIioOO2lpsq7rbzWYodEkCjDjnxzd6LrbsRTxnx0wXCN+ohO1iCW2wOCYGg3YzIKh63jzOWGrCkgC6UhsxRpI4KE9WswbWftStEVuuBNRGoBkCAsEGk6P73bJ/3gmWpCKcJ/HBS6s3rG7jFjxCBxgw6noEuWfFO55aU0PZ8iKxUKvMml2Q0LQaATuevCdZR1iIWmFXxm2BwarRCoLAp/WaAuCh6K1cQ6nXiZQllNQ/mvA9Y9tuuuiYfnKV1z2qnyVrpVSFY1a2tkNdVoK86n6xjeDXWfkZv5rB4QjtngFKD5GuhBHBkHWdBOGfwEhCmoIiawZKbhbHMEUSCuQb0yLiUhKc64KkMOOUep9LhsiRMSwQtmqwBMG6iFaSsS03iMZFaC5WdJnXLXuPS+ZYx3xC6IyM9GVfbY5mwQZw8Q1O5o4CPCwBF3XRKF/CizOncQ77vsQwV4Y3GKSI6/1EJsigv9BAmJIP1LHVFLAgbbNz2JNtKNmDNtcCsz9r+wYLYZywpNBssP5+poDlpdA/6dXexWO4Iy8sKqgH9kyCeK7qHRc8KicAho0ZGKcE6lVqg4AzQLC1ew+a6SqdqyqUzWHXS+SZBWhLGZivUeNtWbK4g1J1yjbeIyXQSdA8Z06uE+cDrvuvxd9Uupdwta5jMgtRlEAHzGEAzQQ7Avp9RK6GhdEURkLwtFM+aC8muqEYGR4QRqDdGF2UTAZtIrVsPFWVfkV5MyHMAvRsUxm3zce5Yu7dBtXIiV9yHCz6LjzqVznpD3gbU+BmGjtnkEwzwLmN/mHDpexVSE21YCqsgV90g7UovancVBJTUgjBeGPvfnUDlgOlFVP/4f8TrJye54ZxBN8oXcaEHBDTbDp2oyqWsfQUYmMaEEAv2NxP4rmrgIzBYhKBaRY8qqZqavUcYyWS/0Vriaq5s/JNcNdmMuqGH0zW/avVFnZQPMnRAr/Y+4bTohj4umhCkiOa3GUODAAljTXYB7eh68mCH0DVsWFqgJDEAzFpl3iQKwqRdsefQKw9upo3EfUrrz7XEwH7W+JmuDFpZg/HSB6327xTbripv9vdgG2EEPImVTdLmh3081waXUg5zhYs5Ua560CVTBXaOFOvBKybV76IOVAXxJK1Ckg8EFCAv2rGdpqj7dTH4aSH1K3T11iBAR8ik8yBMq20VZ1Wzi9MqhEaiggC81JYAO1ywiZOIdeSssELJfR/WZ+F+qc0vmNCULDXQMhhpqiAWTEtCLgH3uxG7uCALN9jmVCKWErCUgJwDlilCpgC+hHYYOzSKF2kCFN6FayI2ruTqgcRmXtA4615r3SMA4JN1pzfoBP99muaredfWjqMKalVlb/ev9eDevUU3kE8RWRPYEPR3/BCuWTtYpSj308e5dXFjU51tn+9JtfOFU2xcTIVvKaclXfQ9tKiBJh7jGzrPVtmFNEisjjGaJVkTYqkehJD659o659EKBptOIdleQZuASTnb5gMXCGUXUArh73ev8H1/g/tB58WUIy45YamM09Qp9GcoWF4AclSBEPU4Njhb0L1xJrZqqauYCyBxYzHkEEdgFc1yxeBNVxPPYHVm9eH8bcDmuZ3crVNYCA4JZa449DNu+wlTjhhzxJIDLpJQq1acUVWQBIXAF0Y8mw/hbPYn54pwKeAp695tc06LexFI0LGe8vX+53NkOx/dfmfMDa4pQ2e8W+XUbr2aXXhNctZ5u98ZL31jVRU2cG8r+Fx1lUWalRCYFd3TIMtqXdbOChfBM15vg9bGsOaT1m33/VwsOW4e58al0mBMu/5lkNZJkKDPPrmgi60HLkCD0zm0dROQSm8e4iJrx6gl84Dbl6Aq51Ep3QFZCPGiXSMC4/LUIy8Bf10J3/Z3WKpCPI+XHnQJphisHRJY9xYVzQtRwtp5FtKC63LQszheKqiY8u/lOtqRodf9o4qim4j0njbFg1VkRde42zV1jwAv1PiBVAljiqiHjNuXI/bGLXdBxMAVRQjvL3vkEvB4GpCXgDoFVa4duZ2hNeq9xjMQT5v9l0nnZgx2VpVWqJagmhH+LPxe3V5IOj2LaKlgi0HADOSCdCyNzlSHZLxXRZfB9oDGCQ+mOVDtPYi0a0tk4oRaYGF3qvCCO9F1PdJgy6AKflJ3Chk6dSsItIo/Whc4XApSt0l+7LnUqAXpVARZWOGnFe1srEMFOk2+OVUUiZAQrigeLqqpAjs6z13fQrnlK+dcxZD0jGrQ1FlAWVE78WKxUdQMJnRAmQMmAB9Oe5zmDlUIb+cbPM47fJp2GHPEw2mHZVGvV2/6FAbY9Bq8y9kUnbNZ3dnzn28Zyx5NR4LqZs5GBgWgCYza2t2e7cevCTFZUjYD4bhCnWsEnoYeMRTkKSKdCRkKQ45RHU9Kqir4ZvHu3x7fYAgZb4Yj3gxHJK541x9weeqB77oVGi0WW3aC+R54MP57W3MBEEPm5UVjnuVWCxqXLwjLTcXwjrH/VhrUVot5qrNBxv0VFnz6Z6r3ko6hqSbv/1Pf7Ep5QTtnpheEvNdzp3vUMZBkBdtAzfYxzGIFOOVkT6/U8zc96N6w3oPOVdUSUS5p6YDlXnOF+ZZBNZqvro7JfKdjGUYdKzFRrzY4Tt0EQENBZQHHitOonXPpBCUI0BeEvqBM3KwP49li7pMWrOJpszYtHUlHgCflPJdDBWLVRhKU35v3pB7hXQXvda8rlfA09bgsCf/r0y/wIR/wYdyj7NQ6Lb2YQCyY44ByYdSboj69S8QSko7jMeF4jkhZO+M1ArXH2swEkJ4I8a1ylJcbj+H0cJrvCe/+zV1Tgv5hZfrHXz9deOp4Ae21pe8S9iTSRF/cCgMAxJLcMgeIED6//4RXwxnvLgc8XAYEPzQc726QBvVGVQsintdD2nkhlCvCRoQECKDLrCbjgVcF5OaZWiHTDOx61H0H5Ap+GtFse1zxmD2ADRAydd2NwqukuB5AJv3/Q1jlJhhLUTsLlzUYkp0mptKromI7UPx3/aD2Lpbdy5ZPShYMCaCQIBNQKruArZKm+3fVoJOrBtG/06qgB4MXcFb1OpBWNON5ExBWg86a2IFX/FtybUnHWmGE3gcBrvSZzhrY1qgCYxJEpfkrNW/kJmRTCbSwlos8WGMxfzxq/ArvbsSRkCffUfVedmNR/z/4PiKb+6ma6AZaq40xgujZ8rAgQhDtsDMYlA5T2/g4VRCAeYrgUBEOFbu4YCwRU4kQoRbw5cwohSHniHBk9ZbbJLlcpImrNajyNq6OQTtN02JV+k3iO07KY9wPQD9ogH9UEROYONU2QZBFfZ3h/oc+RqVocg9L/oH1+61jrmMGJhXAKptyeuCVHz8vQM4acJaqnSnvvBVdP7Tl0m8V09lgo52pjxpsWIxaEExBukbthIoXcZKZju+Lys7XoLUMhirDFj0IHebWOuce/Hmhxu95XgwWy3q/Ye2GkqE3yGpY6lup15J3qhZ4inuc+x6Xu4SbYcI4J5zHbt02hBD2WX3y0IEnhfRwjwb/oSoN+hQmQodqSqKMWqkl7CJQgSwRRaUIYatbQMzYsL/0453H28YWWC3F1g64B11gVVG+70e8Hk445w6XnHBaOsw5oNaga3ph0KS2WzxBvT5HLaaFWRPccJwVWvl40j3EfWdN+ZxMHEd83Btf29ZnLpBErQjBZytaDh2k10BfTmd9jjGuFBArCEjOSk3Y9ahDBF8WyLxg9XDeJNYeTFoR84pisuv1+koB1QUSA+rQ2TXN6+8ahQCAJXg69o1Ks4HH1z4olLuzAmVPmO81yZ1vZfUnZkCsqMwTA0da981EEHclaJoJCvP1e5EutusBKniWdb0X0WImRxAE8ZKNR6vzviRLcishHyOWmfFxivgU12BZZhMgNHSAJNJ6hg1JtQ5AsYRcqRu2nntNPNU7UW1z+LysBWkiyBAhiODTBLrMkC7pn01RY4tokEiN4tM9CsKowWpYVFU47wNyErwcLnjRXbRrI4RAFYkrxhxxGjssS8By7HSeZ1Iru0mLalo8him0CuJpUe2AzuB6fVINDwA0Vz0zSQsbZZ8AAcJ5Bs9Zz/h9p11nE8mMM1Y1bttL49NsXE7WOKO4ZoA7Bay2VhLVco0WahSu5X5ATaTiR8dFizB+LnvDwJdPCvo5DMDEEXEZIaczKLxAuVFYY0N5WZIbL6Xt387LLr2+j3raWhxmvOnW4O4rusPcuIJTIUhIaPxKQ6GVDvp7uepeZTGJWszRVeJVO95YLOq18GzJw1gRFoVgStAgPI9atDwBGIN2bN91B1zmhGmOKDkgXyKwMJLP7U5QeoOqkie5K6d95c9aYH9L1n0Ts9jx6yWINZZ43GgVJJ37/pp+tgCnHumJwDMh+TjamTTddxj7BTIGxJMleaTUKtrNqEJYloCSNWb/3dMLHLoZ//3r3+Cr7gE3ccbvhhf4G7xB/rbTOW81pzIo0icPFfnzqraGj5bwsye5ApkCqKpgXt4Txi8y4v2M+mmP/XcZID07a7TYtdNxik+Eshec/yRrnHpRUa3bvwde/PuM85uAp18ZXNvGL++B6YuM8KTq+UJQyo3FCy5wxTMAqFVXjcD4CpBdgTCbgjKwJBP8C1pUCZMWU8RESGsE5hsGVS9MKsVufim2f1Hb1/ouw7VZtjpEsc9Ar1+bxk4bPqkCEYh9QdcvOKdoNmUw2tyaI7Uk19YWFfXUTifB5QsG7dVWT7Ihre41WUu7BcOw2DYkqJVxyjqv/po+w3fjLR4uA6SvoKHgZ68f0IeMX9NLTKcOu9sJX9w/4TR3+IAblJnBH5N2kQtM8NZEK0m0GJgJu++Au99m5EHRC65GXgMwvwTOXwniidF/xIoG+K+8fnKSC4dnWcWX52LCGg4lotaRQvHDVnkulyXhKfQ4zwnTFLGwrPDU7LvnJpiySl4NAFllq1n/2MEs7aBwmDCM06VVOX9RDNptcnsf1gRHUmxJAhs3yTlaCvelFeIJrEltXX9uDQjs2lzo5DkEE5Zwt7INocEitxBR7wakqEF+gxo+ez+yADZrxzJMUJn23qBytrlR22B0061dbVV0F/xokETrFuR9gEvZk1f43cQ8Fy0SddLeoyWSNkzssJqgoikAQGI8iRmgyiiSNNFOFUgCMgVOFQzQBLwQ9CAGDBoNfSZ1LYC4BLnPHe1Y68nn5utw/9HN3Gk2T/7vK5EbTcgUIqyd1WbG3sQFNGifHzsgVaTDrLYSJtZQhDGXgFIZ0xKRK2OZIuocwKMH/9S8J7dVW2HjaDn0ymHtfm0+7/zaAUvCDFmwhSZ7wpqvE1kVHJHVIsnnn9sS1Lomux4wPoOONkj1FdLAKlbPf96g+p5oiP/sFga6hYMWvTbxeeXwcpZWUfUAxXnbeW+drc6eX1AOlzjvGVq1d855C/zZLrlYclg247u9fu/o2r3zXCBRwLNGWxJZPUibXD8hT4pcmboEJpXf91sNQaFiCvclLH1FPhC4X4OieNFu0yrGo5DoWggR1QIot9jZjPe2cLGFtT2DwHshhSMjzFWD8WSHp1XFq1WuqQA1q//maem0SFkZcw2Na759NXRCcU7oOuY1MWiv50lwlWNPLnMBSW5zwZOG9hyAq+KPIjS287Kue30IWnSLxlF32HsMoEGROZIL+LKumzZCW59bRye4/oIl2S1hJut69UnXUFEYp9MH/LO9UCm0rhlXzlcKic33qnN9C1NuQh0O34zS/kZQUY+tQIvz/F34T5hWSHLVs/maugAgWiERpGuI1zlP2XiwTfCIVsjaou8lVksjFlDQfbMMapVSBl35vCikn7OqnmrXDFqwWaCJti4fUPb7VZQSbvsmFEMCEyJbz1+YF/K2667WPXq2eFHLURxc0CDezfO8EN6dDzgvHZxyMuWIuQQsORgMn4GZtbCgt2U8b/t31vGvkZBvkp3Hes2SgiVy1wVk2ULZs849R8gwUePFNnVdIi2wpKjrymIBFW2pTYHeC+leRKquUG7INbB2lN3fVzpPknVwpLMzSXT/oKWApk0hvGwS7qs9Uv+/QqO9SydNB8WL0TXR6nVuiJwa9G8YnLYUE5yrWqYRP6OBBjkGgHwT1phAdMxb4c6eE1vhqfSMYMWIFstUYBVV0j0wPmpDoWRCiaJiVFnV452CxH2BxIoyKjyz9IK60+JTncjZIUotSRaKLtrtFwCwrnQQQ9YVX6N+6drF1zVbVy0An+cn3SRrjxb/AWh0E5wiPtUboALTq4raCS7HHlPsENNqi4VYEKMKZwLAYx7AJPjd+QV+/3infqqHCk7Kg6VMGmOSaGHzIay8UbFnKNqRlUIqKGUxTzgxMickAeY7LVjn3jU2qOUAZTCl7awbIY/UEFnApiBC2tEX0j2Hz2xQZRtfU3jOe9tQbU9VuyCdA9rwiUhH9aReDoz5bu3gqsYNFBbNaM2KsgMmMJZbRZMJrXu5S2ZwBqZLUivVjVgjAKROn8F46ZDPEcgMvuhcygSUhRE+RQxvTb/j1opHJ0JY9LkvpLoMgN7XckNmTwiEb3vtYlui71jzJTOWc4cwZOz3E0phXI49IIS73YibNKGLlleRIFcGUWjn/TwlfPdwq3FM8dxKUGBwaQfZJg24JYtanAaNx5Y9Y3yl41s6tOJVuKjXdP9RUMdnsecfef3kJLfcdIhAs5Kh0wjKA3jpwN7dLSamM7KpaWlg9HgaMC4Rl3OPcrFN3hJhMqiAK7VtYR3OZegfgGB+a+XQWQXPNritqE7Ja9fFqqPUd3oInCe0SnyKClsKBH4awe8fWxDTIJ8OuQTWwFukVUS3gSMtuXWSZVOtB7AGEuarKNIZ3NbsBAA0FdBZodToknaxNofGlZ9kIKvsGURrNDGCFwOWPoCLIFx0TJdbSwT2BbzPqJcIPgbbzHVnL9Y5qgEoXUAcBbu3lgia9yBm65RIAkrSZLeKJYrQYDtXhXgGAtArjD2rgEg6BaRH3Vi8S3X+BRDvRsRUMHSLdj7NemSeknKdxJRaM6NctHLePTIwQWGNlvDzosHVdMvgvZnBnxXq5oFlvk0Q1qpy89IsBbIVHJtngA1SthSEkwlpBAbAiJPO6/4jIcwRy62Abyf0KSNayWkp6gmcC2OaEmpm4CEpvPrEZnmw8k8a5zmo+ItyJBWqKYMVl8Zl7fT7a3vd0cTPLpPdkyUKltSiS2qFUqpCiJkUT7XtprKhIWoFLqN2Ytv3Vt9kV1Am6xC2OZ5zG0vyoN6QB85n1wSutnnf4NjtnnL7Hor595qvJGUA1omYbxjLwbg1AzC/KUBfmp8bYoUMhDoH5BLBUavqYkI83aMHNAplDudse4kVwrBJRJrnr+05paj/o329RoZwUo/YC9A9OLyUUTvGAqAUtpxewLHgZjchhYLRJPnHIJh3EcscNFCbCf17FehwRcUw6/rhDNSLehbGUSskjqIB7Pxm1mTR96rnRQqihkoJWSHytQuoKQEEdCdBnTQ6qEkDjzIzMiI+HPc4TV2jnSxZublS16SJjE7A01r59sCn7Bj5EBD7gMaztXVAxzNknHQ+byH6YDR1ZOsM6HzZFCHJuK5ePOzM49MLhk5NGbTjR8UQDzm3RJZacmsWQg7Hj2oRJAcVIoTx+2nSdSlDr56itSq6qFTlsJeicOZkIlYipi5JbS/fdk+1sKj36+MFrMltTYAkU6o0pWvqiz5iE30Lo87DdKmrtUrSdeZJXhUVLnPvVrEOW0N9kPmsG085zDqX+BAbT829F8OohZdaod3SQSGQNQgyCYpQ85f113jq0P0+gRelOHnA6EGjB5TJzrH5PgL3EWGs6B4VQcKXokmWqxKbXgVtrLLCxyMo7fQ+sjSV4WBda/dhr+bRSTPh7Tf3oCgIXWn+z+4pWooVmZ5UYKgMJsoGtOQiXQTxImbz1CEdK/oPOlgKnw1Ku5oW8MMJ5dvvQV2H8NlrjT2KJeYOS64VbKKPfPb5liD7g933RsgP0Pk3zbrvm+BZ/vIFyhC1exoJkAheFN0WPyrioR565Nse8WkCPY1qGXlvdlaz8YSPM+jhqAWfQdFtYsVOtzAkgVFUSO2FklEtxqIFY6uGhFF9fc9f7TDdqYhgMa5k2YkWLAFUF6QUKFLEiz2ERkMJkxYVLq90DfQPVTm/SwVfJeWC8DTpGHYJ0gfULiIfIlyrRPU4tFDRPRLSUYuqyx2jdIJ8iMhmeRn6Ag4F9zf6fD8RsJwjaCjodguWS0IZO2xVYp33GU8ayBOAxSkGGehOJvgWNaFvQqLZGxACukygPLb72n3LKF8A811FvBDSo+7ZmnABw7cBvAScvy64+xcfcTwNkF/vQQJMny9Ihxldp3FYDBV9KGAS/Pb0Er/FS/zt92+wvNtB+oLuiwvyElD+MCCMK4+1/8i4+zv9/+UNtQJ0jVZBAGvyctKxFWaUR+VYH3/Oq6YAzGao6Nm+vNSCbjyy2QTpuRIv18r9EgTLrSr/hgnYfbdCp2sAym0B9RVjiAgHVlGzoSKcGLd/zwijYPedYPc9sHtX0L+fUPoB559pUeDwm4DuSa3Qllu953TUfXO+F9TXQPnliF99+R6/ffcC/J8Pur91GiLzRCjvepRdBd8r7BfQmODF4YL7fsTfTm8QPkXtxj/p3pePWpy6+TXw4q8nHL/u8Pb/mMFDBn47gJ7IYgRpBXEAOH+p77//Frj/L4L5hnD5jM1qUZNcnjUeml5HTD+vyHNA+m0PzoTxdcSf7D/g/XjA+3gLEDBlbdrUwkAl1E8dltOgCfShaMH1UDTme59AT3otvM8gFpSicP8yAMuBcfmMcPznGUgV3Ok6jb8esPuOsHtfcftfLijTGf+Y10/v5AJrBXXTeeGsHbNWsZ+NO1kNVkoa4M1z1KQla3VCpcKtGmyHWhMT8D+e8G428DahHb7rX2dNlgFokONf3yjRbjs0JAIpWDte26p269pql4+4Xie2/nreYfX33XZsf+T1A6l+T6ZdvOfqh/091mppg/1sr/kfehkU2A3C28vgYk1UzLsFVxsHrR0+3nQjnsfMpnqp4+bPxirAVkHnxZNcNO5hyayTv6rpdJ8WuN1OpjUBK0EgNmdq0s/wYWmNq0oQU+l0a5kGpd68Wk7FmuTRJjj/wRypVe/HOxjWzQ0zWpUsLxFTqDgtGlSPOSIXlWavc4BkMsgKrd2VrF3vBsWQ63m+Xqzd4I/Nv+fXbEmtPE9qtgqubmPiL5/7W8TAj81bsUTjx14/WD9qT9De5bnA1BZ6+vw+Qri+pu2rQfc3vyLP1pMHQ/Ij94DNs7+6frQ1f/UMtnsGY7MvrN+nrDzGH+twaRdWQJm1i58KQlcRY8UQc1PhrkKIoWKMBXOKmGun/LreeOoRkCj670CoYpwzQ52IWQeJwSX92poNC7QwseUq6n0LturckBV+7dxcVfs2fnNWDu9iwnHqqVdUgCoHreQuqrTIPgbWVaTNPq4CNrbPRA2AgXrdkfUkcNP1bOP/x9aB/56/NvP5ykYM0E5lffa+wNrJf74PP39vG7/2dXsOVwWbH7v+IloVNy/dq7eXDaQfQBM28b35x6f0H39tp7JRg7zrv10zTUG8dcql6SE2mw0vRBgyhptnq80NEkihVnwgUmh7MG/qYViu9vZaGGVImqz7PYq0mCAU/VqNxl2058O+n1fSNVltfLfaAdtnt+n2AWjFcS7QroIl9w4nBYAaAiRrN0ISQUJBjGJq4gF1CQgFqmodFCXCMxBsb/euu0NztTPlxQNa59rz+bS9dtrcF9CcDOj5vYm0jvbVfPKOn+2j1TjeXhT2504VDSGkfvOGdth+jUzTYBunbO6DYlSxthBWITO7139ozjbbINdU8G46Q9fndulUUqilxY/Auve3ePH5ttDiGr1Wh3DrPDBUQ67qemH7g8Y2mxjANDjanm4xqgDtOpgF+25B5IrpEDHFiq7LGLoFJwB5SLo329m0TXadG7oqN6F1ktv6Jdszo5/fjv7YFBUN/gxcfwYVG8/NewF6PrZxixVdV9CnBUPKqEJ4mjowAV3MIEDFimYrErOKswmbZkjVWE7HR9dzvKh+ysK2RjJUdMuQSS1xb3MRm31A/1zBVEXXG2fCFkXYfIQXfc7+nNp88voTA7Qo4ijMej5VAIjmH9tpTBYvSl+Io3741fzd7MH+LN26qhC1pDVuL9x/TmxvWAh1QPvZkn0CAB1rF30xbnVNPg+0iSiBsNxGQ8Xg+qwQtCYhZn3mpbc1ZEXJJgILaEZIaMizMBLyrHsbCKhBsJSAD/MBgMKaQ6irTkGoirYLogluFLXQI7QGJgBNqJOg6zOIBBfp9BqiqWt3Nm8LQcoGGePr+nlM9g+8fjondyqqvAfoJrjvIZGRjhlhtE7GpPCL7oGQbwgngw+WpUNhgXpkaaWFFufb6ALx7lb7vEUNl8OoEvZlCNoptKpcu28P/lNEHXrtdr39oEH5m1fKpa1oIgueHPOnoybDMWil3QIhqtZNyAVSrQsWlCPWIGkhrpxd6xgDaMk1bTu6/jLhKT0AtGMrg3WZnd9lcDcA2jllXnkXzh/e9yg75SqWXitVPBXjKFrSylpBKx0a1C9+CqCPoSmaQdZDuQki+CZuUJmaGLjpgJ2A57R2P6v6VaJHuyc/hBUOyGpF0nHbVMOiPKhqEuwSgPTAqOOAZV8x3yakIeMXn31EHzIeuwFTjtilBTfdhHfnA97O9xAClnvd6OKJEY/bAwlI7MrKeloqzEQhXTyXBpnUrmkE3+whJQDfwZ5BtwrPeJeRqMHlu6P6F+aFWyIzhgFT1+P3d3utrvnUnAL4GMELIZ1IjdAvpiq5EVZzyL9CDKvB2qIu8HExGF6+5gYCq/0Or/NPDM7nP0e73Qq3bAe7dgukVECqQje9a+bJnvF1pVQ4ic5Fpqjr9LDdCqvZdSi9OUBqvUqqBLVZX227x2vwybaWbA3EoNA+W7MgQhli47xwFsSRUJ90o85DQB0YtVOBBJiXGy8OCyfjhKJBYKX42Ns6ZlaVULcAcyGiXaf3ZqgRDzSEyGDOGXH0rq53zHQv5JkAYpSJIK8r3twfMcSMz3ZH7MKCr/oH3IQJZ1OkfTvf4D++/xLnKeHMeyzGP3LuTekBCiZMZTBCYdbggnWeptn48wztWC4Zcr5A8rrB6rUX7TbGAHAPqoJ4VN7jjAT0ylmEAGGvPOmagLwQckoI+4w6zBgvHfC2R3AoWtGqdZh1DPoHK4aavYd7fpLAlPELwknHVnoTCXTUjW/0VbumTbOAFJbW6i6ezCftuFIpDSkjm+fl+39Dxrg9la+bajoOQFsDzgmmXICLKdFap0xFDVXAqVn09J2+X5/ae2qH2c4hZhMg0mq4sMOI68od9iLA5g88+C2wwIdQpVpSQi3Qb/STTgO69ir6fPk82/hqUlN2G4SFwOhIGRQZnDehg827MOlnhtEEo0ihZ2MEYAEcEZBSxv1uRB8zvtg94TaN+Djv8TDtcOhnfOwXLHNE/tgjXFSsD5DWXaCqXMXloEIr6WJBVVIBOKAHlQoeGXAnhWm5op+UFwewFVIkEnJSAcp0KlqMT2QFIw2gS0dYbgSS1AKmJAFugTQsyJlRP3XgSbss8WLwRmj3vH9UO7u8IywHQv8o6I56LdPrpAJLD4s6U6Sg3Fy6BXdJz07ff7uEygzZJZR9BE8F4f1R9yObr5QrqJhNkAsJdgkIjHoYUHdRz5LLAkkB+UZVmNOxKCrOk+LA7aypfUTeBT1TcwaVVReExwweZ0gXUb56aeOuiIn68g5gXcvSMSocuVHAM6uHc1AEjhflatBOUY2E5Yaayq3OdQuakwlOcUUZE/ghovlzWhDsPO4wVeNEk2v6mEiPiriFsSA+XQAiLG/2KD0jmr2QIlh0b+CsiuItRoibhMnRFH0FWWeKSNB3Gf+bV9/gdTohfVHAEEw1YqoR34z3+Pf9l5jmiOmpV5Gyi64dYWB+scZsANQSjxjdk+DwoOu0DBElETgzgAhhQsQdau6A39s87437aYWa0uk+3H/Q8bh8YSq2AD7+4R60EKIlQj//8iP+zevfIUvAUgP+48cv8OlvXmkn9UUG9wX1lLQGVgjTJSn02NSjeVaEGmVgfKkd0dvfZXAWfPpnCZdBhYb6T+rzevlM15cFBohHAp/XxEbXosZE8UIoR15thqzWXnpgOVijh9CEq+JFC3Qf/hVh+sUMTAHhqBSx279WlKI3085fMs67CkkV42eEcCF89v/L2P/2hHLTYXrVo3SKqHIdhPlOz7j0pNcYrJnulIdT2eE/H38GmhjJ5kv/0cSwjCdd9oS+X7AsEcu7HpyBx92ML/ZP+NmLRzwMM3JhjHPCMkfU7wakJ8LDnxc8/R8mlDEifp/AS2zorv6johdaoSEQxperOv/5jfJe3eIp3yp9MR4juketiggPoE6wfD2DU8XpacD//eHP8flnj/g///N/h8gVARVTjfh/y6/wng8YXi64HSYsVa93nBPy392g+6Sc5MsvFvQvRvx3P/sdjrnHf/j1rzC8ZUwvBedfFoSngNu/jS228SLHcqMxW/e6X3V3/iuvn97JdR9Y8u6YCinQUsFVxSGEuSWuYJ0MtXWNyDpiaBV+V1P23wnT2m5XPkRtggWq4ExrINFwCP72pKqBS4ZME6QULWCFAKKK1fYHQBZNCMYRtNs1Owitchp8dbEgphRNWhdNOtGnltg2n8NWKbRkNT57KLzpJNS6CsAwK5fBAzdTld3yw1oVw5IPt1KqiVF764p7F9UDvW2nxC4hmKhX3ovaPsET2zU4Wm2DNo/MLEr8RVVAY4WrE7cgU9b/bzuofv1UlE/oVUZhrSCxdYdyF1CSCjfdpAmlMiJX3PUjXvcnLDXgbbhTQRT77GqVRb9W8eTFuL01AjXrWChPxJ6RV6eDQtOFNy2kK56aBdFFx5eyCqCEWeEePBMC6QZeO6tQLqQVrSimuqkJiie1fiizIxgEja9IeZOgBgKyQfCcN3xl6UNXf7TY8CNlc59TtM7T9uzyamMiBku84pub8morX1bR63J7oOedQf+8590UnyLO8912ArZdDf9MU5e9KhT5vuNezeJzCpbc2c8Qa0LtBbVMq+BHQetEtQ6Zd3Gfz2VP9m0dejfDobPOl1KBMtZk1w7mFfJGLQgQAooQbtKMXVxwny64CRN+2b/HZ/EJoyScao+b+BLfne8QeMB46LRRNTLowsavX4Mit/7ywjEZ/wl+nUSAr49laePfhrQKXARsVVdWY3eFtVKDpQoLwkhAFXDUwLV4MWsOSJcVqeDFMof8ubDMtgPjY67CUl7BFS1ubJ47beeSQ4l9/v3Yy1SK/8Fur3+WFwpgCBqGwp+rrTMKbT62Qo4r63vBhno0r17A5rB9fAhaYPUClYh5pNZViIqfdefsPcQQCw1hs+kgiCNlSPdvfV6b6jkbT87miM93qtBCzTSr6JsEXWeR7fsK124JdwZApSXEumZtH61rV8CFctQJwfZ7UhueF8MFN2nC17tPeBnPSFSRKyMZHPKyJLw7dpAJ67h5NwdarAUIwQMd8oTA9gImyFLVRuNH0C41BTCTzXHrZrJ2RoIXGSMQJ6BedDyrCWRxJN0eKsAkkMqg2WD4DZFjwfWoHL4aNGkrnSXsizSl2PWiRPnPrPQUll6h6qaA7CJktVPBKbVHXNa5H0yR3s+ErX86KQ+2DBESKkKtJhaFVsTnWWMq9waHI0HM4/458glAg/HL0KHskybQS9EizRBNDdzoJ+zdNmmxSePQ+luzaYD0OlbN2q19oM1ZsjlVNlD2TZK7Fop1TetehdaBFkfgEJo7RBmCiQOKKlw70sP2ha1IlQsVNXSb5s3gqKKTxBVdLPiyf8RX6RM+i0+45Qs+lBu8LzfoOePt7Q2eph7vclB1aGbbw3VuYNOJbgI8F9ufN3tAi4ETow6q8eEvCWgoMy9yUYHaxBAgScA3C+oxIZysuGa/92o44xfDB5xLj3PtIIB6ES9QxXE7S/VcI4WMtxhRzzm321HqG5COBTwV8GK6NwvQPQlmUQhyHdQBwdWot0JcW04vtXPEzhZZiw416VbNC5DOWjhNp2pjFbC/GzGeO9TcgRdNsrtjbXNwehnafZRB7KwWhI8n1CGhDDov4uX6M90CimelJkBWxeb0pPoBtJk//rPNrkzUZnKBck95AZYloArjNo24TSOyBDzNPU5zh3cfe12r9wv+zS9+h7/98AaX375CvKzzMsyC7qnanK4mCJyMhqR+xNuutCQBjA6guZcWEhcCuv2MXb/g07sb8GPE/DLgz/ffIqBilIRjGXBIMx5Tj1eHM3558xGXkvDt6U5dRWZVdp5fAuFmwe1+wufDE3hSylgYgdoLhtcXTMse6UmpV6XX3CHv9d/O2S3hj5z1z14/OcmlcQF2vQZNrFW5BkdxOEQ7ZHXz7z5Z9cC7J4x2SInJp7t9jVq/AHESJOMkUJXm35rGNRgjAcLFrIAsMHKoCZhAhwNINMijUpqQg3ezAChH0TmIzFoFNhEU2g8A7bTLMc+grlMpf2DtJvSdVlU3UMyW3BKtBYHBeGGNqyu6Mp8lrxDRg8yDJ3u5kiTZz1IpCCcTi5jtUIvKnVL4OBrEEKQKxNU26bKTRrR3zhzllTPXAtRFVZa3STwJ8Bxm6sJXJK5QTQ2CpN3U0pJdVbY1CGXR+LH0WknM9wUvvnrE7TDh6/0n3IQJXw6PAIBcAxZh3HcXvHh10mrRhwE0aXVtvlcOSv+eWlC9hS9pEqkJJOdqCaOdoZPajPCG2wJAIermIQnjuVGpALF2dEm5uR441k4XNhU2EQ2t7HHWjUM5Q3bomHcbiUKVWIBwqaY6mxHOswY8hgrQa7C5LZawtuRzM3cq9N6qrYHYXd1PgyIaJ1dEALKEoJTVz9nnqEGf9Y/9PuncVpEZnZNSauPfahCfW8cXcZO8bKB3V5A8D0IMKdEKPjtLHtpCEEUsFNECm1tEJBOFsKAnXEiN1X2O1vVPmKTBkVZIlKzdZO/0+b+tU96UxQHz4azg86gctF4FatrnFQ20/MAHKVynDoI4LHg5nPGmO+FfH36HF+GMX6V3eBVGfKodPpQbLBKwiwsuOSGE2jxqa9FiQ0m+XVnxpkirQXlBqSYGI1lCpl0U6gw1YjxKHmdI6oC7G+322pBUU/jlIqCLdbIH4zE/aKAVZkLpBGVMmM8R4czoHqjB8MmCBV4UwVEN0olZDOaqHxam0uzfJIU1OXXkjXdXTWBFuqQWbA1eLaDzZHuRcWQvZhvHtBYvxYpFgbUwUQRbETdhrIXHnrSDCzSkhItGtYKSyLof+7oJmrCqRZchdcxKTvqIejuA5qx2K/7eLjZVRNcBW/FEnJuLRgFqgRYTKFrgkrTQhjE2BE4LFCs2UHETEsxVOf/3+7U4XIH4NG3WvhZ00G80ITw5BkDme9qC/6iJqHfhIAQKgj5lvNhf8G9e/A5fpEf8Wf8dXvMJvx9e4te7N/huucNffvxa+bqHBYUFZKiXGgXLDdma1ftqwltOtxAdMxFAEqMi6hN0bQ7fNmxO8VJVQ0J07yrd1npOM2v3EPYOYfdJ50Q+DXj42FmApvNcgnbLguhaqUG9TiGKWCJRyKMwwHPF7ljX+CgZN9v2HU3WAQRFlJV9Uh5sFqTHGbRUXaNuS5iLxh4x2Jm7RTxoEYZn1Z3gs7o7DFNp+7HCswUEWfdmIvBUEEXne/3ytU7r84xg1yz3e9S0QSyYkGNNdh2u3JxXiHvbN/ugNmgCLZQtynvU7ljAsveuqSoal06ROWVPqD0BLMh3BTwxuk+sScOEhg4pvVkRHfXZ5512Z8NUEc5Zk9lcQIERLxlUg84J0uR+5b1qMhfHCjwYTzTpOTPfQ6/Fhnq3n/DZzQmf7Y740/4tXoUjXoQzBlpjuKUL+Gr/gD4c8HgeMC4M6VW0j011l2VTFJxhbhTA0897XQOL8nDDqHEC/0hxOcxrnS0njfV4Idx8W8Cz8ogvy4BoDSZ9gABdCH/5V7/Ev93/DP2w4DDMeHjaoe51D5G+asF+AngiSAUKMXhm7H9nmhGD8agHteDhGZDQI8zKS49nPQuPP2eNi4qATuoDHCZda6o4751sNGsvkJ3pQPPnXdc2WjFJJhtHQ8KFOWoXNPMV9FsYOH8eMN/pGu6/jy2ppgxMLwLoX3ymczBpUaj/qD/raAOdXwS2xHfdSFTVuRy0yM4zobDg9DOyeECh0WDg4WGPOgUMF6U6XN7u8e/zV9jvJ3x5+4S3pwMe/u4leCTQIFheVcgU8L/8/S9QTwmDrEUhEmB8RZjuI8KkxQRAO901atzTnYDpJSm/OFkhcgq2doDpJXD51YwwFBx2k4aLphr/6eMB/8N3/ztEqs0e87h0SKG0gv0hzNiFBa+GAf/rL3fIt53qAFXCu7e3+B9+/b8HMiFWYHwjkFczvnzxiN9nxvGXe4TR+OkFzUd3egXM9wFl2sSB/8Drpye5ywLqKyqZnUfygBWNC7KtgHHRlj6gRslhxkYNVSFIgG9UlugugnSs2H2jthLzix41McK4rPYBdsDRbF0oq+qLdUlBpElq9YRK1qRlw0eULq2WQ0ygRSDzDCKC3N9CUgQ7jGzoIYdBK4FPJ2CaQHbINB4MoyW7tGwSg7gGWq2SvzlYdAw333NV0MAAQkty9efMDmBcFLI0KaQz3/arAqkH9dlubQIoUFOf1QVN113F2QJzr9AvgnBZNCgaYuNztQTAP6fUxo1w4Ylq88LhvarYakn1IhaYa/WyRkHtBfFuxp+/+R63ccLP+gfsw4T7cMFAM75ZXuK34yvcpglf3z/gcRrw24+DqhYOFbKvqHNE96QHp1e2rriuxj30oH9bVKDLBNRVqKQFxMWUpFk5w85R4yKKBJgqhDSo8SofLzqXSofmd+fwWN/ImyogWcBGGoCGURPcBk/2AoPzb1z1mXlVeHURtPZMNv92m5+mtGxfLwWy2CHMYQ0Y3T7FA6Ytt7cUAGu3aoteaFxd+38TvOq6FZb8fL7bezeUQlHfUu2Ws/5eiqAuXomvcbZA1RAMylPSTRFiXYpMraAmUTaB/6aYll3wS9eeB20t6fbr9L99zZo1GGXrhhGpQBzWvY+zIE6izhmu4BiA2lXs+4xX3Rlf9g/4V8Pv8Rmf8bNIuOcDvi8nDPSAxzpgiObRGZQvpvutqRIm0u6uWV/IZOtP7D49SCU9PMUhsAbh9ReNE3C7Q/WkxQL9atYZlAUsFXlnnfOiwbsWybT7UkZCuQjihTSwt64KxKrDs83zQKgQpexs7Od4LqDTqEXTW/Wy5LmsHbklX9M5Dh1qF00Mz9bJZcIVh3te1E5r6CG3e7vXuXWBVbm8XhdaHPoMrBSA7Wvbyd2sM7G9ggAV3QqGJDqpUAYNai9Ub3osdz3CGHR9W+UfBnd3NICk7ZmwFmDUE1w769qx0fkAAmgmtfLxhHjzDBwWHuaK+DCBRFD2CXUX9TksRZFYRxXY8i669AE1hE3HXX+2JWZW3L7yKU1A8x4nIMWC+27Ef7f/NX6R3uO/iQtehj2+yX/AL9J7/KfpK/zV4xcYOWG3mzFxxTIzcNKuY77xJJ9asLtCt2k93wMaukMqm//wpsMVCcjrWVX9eXoN0AJcXbxoBXvtCunZWI7mQW8JD4D2b1705yVogM4LsH+XwZOqlYN1/NOHC4QZ5aYzb9i6Ir8MLVVDtEA5onaM7mFBePZsaJx0rw5KEQNDvaJlQ20x+hDPpc398HDUz3pxi3LorhJQj2F4LuBFCyHTmx3CVJHeHYFcUF4eUPapNR8AoHZWBGpCnxafeeHSz9y8PgupAFctOsQnK+iWHahGnUsRKLPaIJYMLGzFCBbQIaNSBM+MOK4FY0CTY16MbiGCmgZIIISpqJBWszSq4EtW1JRoAXBrvyhB12QcrShu8y73hLLTpJcqAUI49DP+/P57fNY94WfxI16EMw6UwRBUHlHBmCXgi/4JiSp+n+4xp4hSqvYKWtdnEwPPmiTWDrjca4fr8G3RIvhcwfNGSX/TcecZTS8RBJShIj0F7L4dEU4zLq9fGApQx7ghmRag+7sEKgnT6wHvXiqpnHbW8UwadziqR6BFlXAh3Pyhon8oePo6orxWEbb8ZgEKofZRm1ZHLVTlA3B5re4eGusT+k+qalyjJqy5J8x3VrxiVQ0GYMg5NC5qa5oFHSeq1A5gXgRcKngGZuNwN2Fb0fcd3wDjVxnpQ8DuO2oxLInRI3ZxRZpmpSGAgNF8nMugwkm1oLkR+B5SBoEMFZIJqIqQWV4UNA0IO3bkmMAjm4MC0L1n5HHA0+uA22HC43GH+7/SLvKHfw3gzQx5TAhvtVDhe453hud7QT6o4Gz5YJ9jsXA6Af1T1c71l5P64X7qlOZB1jG9E/zs6w/oQoEIYSoBqEo5Kg8Jf/WHL0Bc7bgU7IcZfcrYxxk3YUKIFV9Swbnv8OGrA97dHjBPEXkOCO8TXv07PTMe/zmwvKi4vbvg68MDlhLw+y8T6KzCaNGQBzUKyk5Q7jPquInP/4HXT4crO+xUZIXviUM4gTAFhaS0giIhOhH7IgiLTjDHiLu0t3cQWyufoNwOXgMuF4vQz7fLYfWzbFYIHsgTKScK2HCtHMa0DV43JSEAEgNop7YSW0K/d81otiC869ZkwAKctVNlQYonq7JJGrzTsElyG0TUP6/U9fNDWAM3/4yq942B0SyEYMGMdfuEBGFh7VaBGqSs8adgRYhltbDhDDT4j1eX+dm4F9tcRdrX9fNVeEcDjqpRz2Z4Q9VNuwwBEgOCdXm1u0uKuFoY78cDMAADL7jlEV+nD7i1g+Ih7zDViOPc4zRrlCFBlNe9hLYJ+mbDdQ3wACh8xMZYffRED9dYrTO36WL6PHkW1NK0ICyWABApEvRSQZWbvxegwatadmzG1APOTUWxkeor1PqJjDcsmnTJ1ovZ51cMq4CJz+utRQxw3VUt19+7KqoAlptuA+vr4J9gAZD7lG7mQvsdh04z2UlhrR9Pjp/P4c17tw6ud37Ds+vIVSHl4BZAA4DbQjgMCELGmaE25grVtG7Q6AHEdRJwNTa+v7mV2I+9tgmx+1g7tBT+npvh1uXRvqa+yQGL6J9JAs51AXDBLIIAQUcFkSoC1XUKVgLNq45BS2iWzfxqxRxpHa4aVdEZMWjRQ9YOg5gPMmXjdLL+briY9oAFq2GuiOOa1AgTwigrzaGSBpzjOu4eGFbnbNk61MIDgSdVuG3JKVuyB5j6rXdH9UxpQbIVIahufsa55Nvuhhdu/Ge2zxmwwuiPFDIcirxF2QBw5MJVoaZLuo+k2KCOZLYetN077Iz0zprSfkQVwxkrnUNEFZuZFe4pivDwAk01Xmnpbe85aVfR4XxklAi2jkTzgnZrmchWtNJCA89ltVravFT8CkpR8URos27bPcn6bMMI6/ZawB4KXu3OeN2fEKiiCuMkFX2dcRbgqQ54qjuMJWLMEfMckedo9iLbfcb++LpqZz8aAgUWuCIFYMqgcVauaht/m4/bZy5ivDUgd06FUl9JnbPW3a9YQwY/W+ys9LXnBUt459z8XhXpZh9HtCKyitn4iXNiqY07Z+0shqkaFLdezzkSVTTuu6YMrMXmshYxAV1LuRr03s6IzmlWtCle2MsKe1qcV2JXiMb7T2r9RtWQNH4+EeC0H0eTURHEnLXz7MgMRyfYs/C9SoiUCw6Y2rOecTVZYH7WREgiIxPgVLc4rZQIL6r5WQCxxNuu0ZFjdZeaQKDuH2KNjwovOIVR4xaPf8i6zTVRE7GkrMgUHgnlEnCaOjwuA27jiEAVHSoGKugJeJKKU+0xisaiTIJk9jzSmRL5hl5Uo8cMNhaiCWATuvIiQiTQVMGXBZw3qD8CwihN44bngHQClrtOtSw2Yka111jyyrfXUDguxtfU6xdrWoy635ReTIsFGF8wSlI+NQClb31U3rTaC617f3oE+g9aJCi9zjl1RlCHhHxQxIkrCitVbrOPVcsPeEUkhll1TtbiNbDcBgirArx86pBOjO6TQYIP0gpR6WNAeiKks75X3pPmpJVAZkGUzlpgnu6so9/pXpN3auETJkL3ya6x+DMjSIitqC4EdR4IUC9th5Mb0s/XbU1AHQQUKuaicOfphSXTnUHjTSyMC5m/r1onigOPTtREnRpf3cYy97ru66cOQoLuY2jX42tuMdvL49gjZwaGgulzgPYZw25GCqUJrKm4asD78YC/oc/AULu1LIzAFff7C7673AOfOnAmXD4je/YVwoKnxx3+v8svsCyuK+PxBYyqanoql4S6UUf/h14/PcndHv7QgUNROItCsxjK8VGCvARBsUOve9IqVI0R860+qHQ0LsvZF7KYNxgwvewAUgiKkAoMBa8O2kv6oIdxZOMGE3iZtStwp4bkfFlWOwmrQjfrBgus2itF1L2RVS1hlsAgt304XrR6uh80SFryauniUOitkrMHQIE1OJ7mlUMjAsQIqnYIONyafdPVJLdZGQGt4l93SQWTxgx6mkCZwfuufa5yFlg3mU43aecMQagJKPCiFjZb9eoV5quHmwcF3glt/nwGt+Lj1KCEZHBU9u521O66+xaGQw8JvQZvkxLFXFCnXCK+fbxFroz9ixlfpgf8b7t3+CrsMNDv8ans8Zh3+Hje4XLpNLBJgnhUyAsVNJGtdNTDLWw6pssh6LNn/VpLdAFwvrYQUn7Ts8QsV4V3BkYwMSSedazLEFCjCmiUolA779ZqsIMrLoRv4A4LJwHygZEPOo8jEdw/EVlhsah1hae5kE2p65r0zigzkNKaYHpyDOC5+vEPXgbZl+ziaUk7UwCE6lWA2MSXAP1ML8hAk2wpWN8nxvWafP1ah1eWxeyMAsihpWVTDFqyVkMTtNNla5cMfh4nQT0r/1C5uVgDYRMN4axIEs4K+fIDiTYJq1dx2z7h47pJcjShrcBiBapdb2ueW6f5mj9P63qyIa6VcCkJ59JhlIRRIr4rQKoVDEaiioEWHOKEY+gVBi20duvymtSESUzR1brSRRDmuibZQRVVgaCWKSmBsIFx7joILLBl0fvIGfGka6HuO9QUEM8F7quqvHPR4JM04So9DCKlnTKFHa7WLMo/14uqiTQYu0C7KbW2PdO9ZWmatRvaJbXP2k5VD5ZzUYurGLVbS6QdK/O0JZtHdB7RioZbuPEGHdDmbbE1lYvylxuCQecwObfdBARlP6xrC9CO8sVoD1fFJEXeRCLQnA19IQCTrR27tmqJPxFYNCHhMSMByPc9ABUOyjs9U+Ojdn2aKJWsCZgWc5QLHRY9yzz4Zysu0FRWIbg2KfwcqJpU+D5k9+RKxPozenZIBVIWxAgsdwqj7/uMv7j/Dm/SEWw8roc6o2LGt2WPt/kO75Zb5ZxNHeZzAqaAeGYtllihSgu5m3PJA8JupdkozJFRmRCOgDw9oW7oJyo4xRvNAWkJm0RGvQ3IOw12d+8zSs84l7B6tbZ9T8/MdFph5FRlpUtUfR6aSGiHWf2l9QyqvRUxF91bnBbQ5osJOZHNg2AdRQnbw4NRb/qWMAtBz4pjWWkezPrvMa/0pxAg+8G4uZZEVbTzwYUzeVxA4wRZekB0flezsOO5qOWP7Yve8Sdm5D6gBkI8Z+08M6P2GnJuFY/dKxjQOTu/SKb4jFYgy4Mm18M7R/owqDDC2eCM1ZNbadoWYRGEUa8rHyJQlRYRRqVLzfedxgQpWBxTwcuysZ+spgFhjRWCFoJKRU0RedAitiZShPTIgESc+gHv7g44xAkBgj1n3DNhTwnfFcGnssexDKhCYKo4dCooNIWKJUQshUCyQkYb35wJ8STYv1WhTLdwq0m1cMIlgz8dwctWSBAYPgn6j1n3p6hom/Pn0bqgVnwPQDYo80qhgnE5CTQzEEV9TQVgEz5MR0J60iQw3whqJzh/jaaq7MiH4T238wjwIgFw+/uCu3/7HvWmx9Of3WC+YTz9KTC/qgivJvz8s4/49Tevcfc/9kgXwfFnjHwAYIhD16GoCVjuK6SvyJeAcCFDEilS8/iziLLTJPDw24D+g+Dm9wvynvHhLwLKXtB9BG5+rc237lSRB8J8T63QwJnQHSuGDwumlwnnLxVmHS+67pd7Qf5yRvmYMLxnRdnYPsVvDd5MOq8luECW2hamkyDvCfMtmh6LkHGCbxeEWDEuEcQVl6+K2h7udD+GIVvYBB0lAOMXgnqXkb5P2H2vKMK8h+VWaBZP8y0BFdj9Xu1D+48aJy83yoGVIBiXiJwDLm/3oEw4fH3E1/cP+hxBuE0j/tXdtwhU8f98+8/w3eMtLnPCd4+37fgIoeKXLz7hq/0j/vDNS9z8npH3wPHPMuCFEwHi73rETwPqraB8mdU9IgHVnEvCqM+nfxTkebOJ/AOvn57kWrLmkM8rLptVjOMIlMRaUUsbMj+wORyxVmWtCivBqni22REBTrR3zkTzX3telRcBwbh8LhTkmzdZ161aYP58FLbBiONRn7/qs69tOLg/+vM/9vuebLSO7R+pTGy7dj52zyvtxUzkr1RGLWirBIE+F4V6mBBDEw2QNfg3eLirrXmgz0VWSIVVnv1zm3ebqQ5LimtAmYt20yiuASRgz4OuEz25Pvz0LRhLCTjXDqfa41ON2NOIt+U1vplf4MO8NwN2tgBsFf/ApuK+7Ui3rnRL9GjtAoiYvj3h+ctl8a8EODbdzhYslQpmasGNV2LVUguosCQFaPyJtbq//n1t12TohGpjHFh/pXVEN/N0C6v9sbn4HGLJ1s1pz4Z+9P5BvH5eCGtnapvEFbn+mo9duzZek+k/YsfiCAAAP1wT3qkGgKiBm4pAaUeLi0BM1KgGrCIj/utVx95Vfdm4SMoVl9ZZv0IobC+Trp+90yQUs27tSh/3ulbftwG5rlUPAgg5M45Lj8c44H2+QQmMgRZ0VJAoI0DwvtzgaRlwyQk5M6SocBYva9V6q4i+7UgrnWC1Emlj69DYLUKFqCXEq1UW1v1HpAnHcJEGcJCwBqTe2W3dNvj12GM3OJV3fUAbmxPfF1r3Hi2A9uffqAUbYaorv/DNM2rrpKEUNontMzSBopFaZQI/9tK5yfYromqzjmrw8aPNnNh+r12UzSlDJbRu87N9pdkobdXItwl0riq8REAcBTVrNz0s63MA1vmgtn5Yz+fnr+fL8VnnGUVAdF3UXrvoWjCqxZ+XBk8oaEJv8xzxYd4joOJDd4NFIpgqRpnxttzh23yP98sB4xK1kj8zaOKWtGyFeFpRyqcF2TwntdFieAyhMMotvB3Q9Y0IQ3VIO89Uab6ajRtdJ8AFzaFIrbcIZB2GhszYzHMhAEFhfw5x1JasLpoaScWvsAb/wHbN6N4hRNY1reszansM0NAs9rycbrE+V39m1kUtfD33/dlv3kd+8OyfNTO218mAmIAogj13koYk05/hNW5oiJBn17vZS7xjrhBmg+V7HAJFJ4RRoatX4kSbPdZFp370JT5//I/fh6FXLPDmpRqcWq/3Ch3joZbfb1a+5TIHnJcOT8uAxzrgto5ImFF5wad6hw/lgGMZ8Jh3OOVOu1+VsSwBJXPrmraxkXUNb8U/hdezjez/KBU/EH60e/W4RaxbqrE4GtpDdUJoddIgNEFDXgDZ7Ms6t8UEpbSoebW/kyCIJmDAev1+Da5PUq/2eXvmi3I+8xTwcBkgU2j33ZAiizbCinlZ6zMnE9+z8YlAPqwdwXYdrQtsRY8FEBeNM9TFlmIDrB310hHyLqgomh33PsaoWD/fXr7fVtBVYWorGOgUQecfiz9ve1ZEgloZ46VDXgIcZo1MEASQmH0mCHXRa+KJIMeg1CQ7C2ryNWENoB0hD3oN8bx+Zo2wrql2xZclomQGjwzKhGUJmGtA5IrEBV0ouA1rAbFWtZNKoaj3rVlxTiXinJNag/ZQH3ELXdUFgNa9lABK1QpMstEaAWS28fuREPXHXj85yZXOeBzjAlQgXInHCOL7IygX1P2AeqNdgOVOO1y1M04LaWWh8dQizPyZ1kVeFAcOoPFf5tsAoR5hqoin5TrYabYUBr1aNtDHQJCQ1Pj7dAaZPcVVsOfdmyWDTtapNNEbMpEexKj2PtvAxl/MQMfrhu4bPK/vK7zp/Jhy8hXEtIomBJ6oR7H3KSATUmjiWqcRvGRVBe47VWHswyqcYBtd/2GBBEL/qFCJGnTy1EiNv9I9aYCf9wo7CXNFPJaW4BGgJvBLWe1TqEPtowYN+whUIL0/AR8fQbtBOX6bg7PsFM5X+9ASZB13NIgCAOTMOM8J/+n0Jb6fb/G7+RX2POP/8eG/wb/9w89QC6MWQl0C4mNAPJtogWmmkG0+YVY+TfO03c4VUyvMBxXB6InQfTrhB+qmGwGY9n/rqlMRrXjn2mCIEIEkxnKIKggTsKnS+8bjgatx63zxytoBAOk64UIKP0/Sgp4GG6zKLwewQjUXL/LYfGVWeKoOrF6fd2ClNoixd98bPJgI1Ns8dTiucd5pySrEBrRuq9sVUdiMr8/lEEAU1UZoWfS9k6kmNY5jAoUAyRnVeYz7nXa4StXuXOCWoIes8CHOCXVm8BxAWbnCpedWrAFgaody1WGJZ+U2uZK12mDoftYSQdLiTdvbfI8AVqVr9mTNFWgFHNakUVghRcKM0pkARGAsfY9f717iw7hHrgGHOKFn9Z1LVBCo4g/jC/zHd1/gMiUsj71aETyxwqKyHvjbbkZYNodW0knlolz+MzUFhBQBfnYMWLBHpYAvi1oEHYY2FlREu0rQuRtGn8/WRboJWOxgK9aldSh5TSaIJ5qUUdG/WcwCpo/wwhvlCn4a10KHC+yMsyJsbnd6PedptXK72dtctJvvEiqRdoIvmhiLiwo6n3Gaf9jd3TzfNu+d2mDfk+MJchmB2xsVX7xCeZQVaTF0Om8dtWNrz9/H+awtIQ6M2ivslJYCNnEsSWEV87GP6j/OkEiI52gJ3fWjFDY/WcBsMqTpIrRrFej+IaLBYHo2HxyynYsKlPnY+XkKgKdsgj0d6IbXQmJRqB6IMdEe/1P9U+x2M777/A4v0gWfdU+4DSP+5vI5/vbxDR7nHg+PB5QpIH2MiEfln8WTXAWUTYneulAgFf4qrJlltU5XDYT4pFY424JZOC9AJ6jRkugpt/hBAiENAU5zqT23s3FbuMk9VOXZzyyvbfCKjCqDdkR4AcLvCXGpGphHQhzt3DBIrfKDtXDEc1EqFDPKXgOe+OkCukxXaAZHOjCz2brhuigENBXvuu+RbzqEyDqnbJ6SF+hMpb5aUaY1D2pdRd4s0fP9URWUo92zOkuE8wLY/sCTKkUvLwfwWBDfqSBLfXFAMc60drGxFsutMBnP6qKRmDC8B2pizHdqV5aOatPiY02ElpzF0dAKc10FrZySZQ4PYSqgSwUvBTRmgBWlogi72OIDPi+KPjOoefODXkRVsyNhIVXbTiftqNUu4tv9HcYc8b/c/Arfdp9wxxckKviP48/wH56+wjH3eHs+YFoiHp/2KGMAXQL4wkjWYEAwuzlDgHniOd/quHm327+XTkFRV9tiTrWYumMsNwHTnQp4ja/06/1HPTuGD6YCngjTncaCyw2wWKzdfWS1zxoIEtV2SJIgf1ZQgyBfolo51XUttM+3pFoFIfX7qgUjCBOje3wJCaqYKwHYfyPYf0sofY9l6HFXtMu87FmhyhnYva24/fWE6VXCw69UJKr7wDZ/9LOWA/D+XwZwBob3gu5RMN+SOiV2KmxGAtz+uurP78yfFWgirZ67LbeiIlo9YXqR0JSfDTmi4maE+jEinNc417U+Lq8Z4+fSVISVH63wfhVnFJQd4fJ1BgSID9pZlU67tfUUgaeAmFWpGQLUJ1aO6l4wv1ZkFY+MMBPu/xoYPgGnLwnnL83z96Yqvck4taefA+PXC/pvI978pcZQD3/GyDvg5jeC+7/PoJrw8JlaXO3e61557vb49RhxuBvxJy8/ouOMZBzAMUfMU8KrF0f8i5dvMVeFLk854puHO/xmeYk0ZJR/fcRyTohvO0XfjJrg1g6YXguWFwUvXx1RKuOx3KiThFGhlhMh7xj18uyw+yOvf5pOLmCd3AI4n8AObVoyME6gwKCk3R8qAEOQN+p1W0y6874af1Fgynz61i4GoImZeUHSZlO26lyzWNnArQS2mTtMs/mC/rGKn2gQT2SJ8OZ7LgD0vOrp/9zC4WAHhFdsa4UK/FiF04MGh5xu3+sZv9Kv28df/TCLjjMR5MBtY26CWkDr9mIBqo1Z7XwDh1bhHd5oQj4Or2JXRoRtYFYt9c6lAHBhALeHii7QBazX4sGPiVFVT3C3VRlZ/5aqndyP0x5LDbjUDh1n/P54j/nBYORRAKtAuiS7wz0ANI6rV1/9vbcdDSFNBtS2gNo8unp5J927MGTzyPlTjfOknGyeC6QKuGMdnI5QfiQIvfK8FGhQ7hwgkVXMBdwq2RRZG6Kigevz9wRgHD6boy1RWCvrKAVN1dvnKW3msye62+6XF21cIbYap8nhap7UAmsHYRtwbTttBiO9pjv4nLWBWkz4yq9n837ENu+suw1WezAQIfi40ioeAtKgmwJaV6DBw5fauvzqNWn388yuCMBVB7Hdq19X6/zauOQKJuNuFV5RBmaxwBmgmXEeO1QhfNffYh97RKpqrk4ViSq+G29xunTKUZxNgXNGgya3gkhbO1sIoO0BlgSxt18tMd12DlbahhUKi0HQvTvb9lgYX/bZ5zBQFwZ3aPP26kV4Nt9t425f90SR2r7n3r/ivuRWfFHOsO7rWLLyC50aYlQRp0hgXuevc8mvxPvc/xrPr9cQKlXaPGz/B9RKbos22Hacq0ASQUwUC/NmP/YO0tbj2ue+JY+aNMj6O7w+MwkqUsRzgRRCsu8X16uwc1Nt1TyZML/tbZfPCgrb11VXfZM0ObJBzPN6O0bacS6tW7x97ipiqN6Wy2OHUhjf3d5iLBGLMG7CgD+c7/H2dMA4J1XNnNUzVBX+bc3Y/HEItu+FzdLFnot6UqOdLa6XcPVYnZPs862sMQMJmUATt3kvtIrU+BnCYY1Ftpxzh1AKURPGcTGuJriWSM9gs+nRA8Pmq60x7b5hFfME1j11u0ZFlLNulleNbhFok3mLFWUZtQSwU1w80U20bsObMbkeNJufTQnddFiY9H0D697iXX/NvoFOi8c8lVaMau9XoWrO3nUV03Rx5NOyxkK1D5jvNE7yfbQmK2zYc2lc3MXe0zuuHoeAWvzCpo6vjZBnawwEhlqviKG0PMFtCXD2uNI4ka76OxHmMeLUdfhuvgMAPIQdEhV8O93jw7THeelwHHvt3l50vvNFBYf0mW3m+cYZAuRFS7TiFaAIhiZI+eylxXS1ZVoOahtTBt1zYfM6nSt272Ys+4g8RLgtXe20k85Zh0iBjQQkQRgyhmHBrlvwCXvUhwjlretz3KLSPJ6vvRjE2hKvQWlZwtQS4DDqmSYnnf8lEfJ+PcepavIYH0eUnQvh6T4hi8WySZPoMujeM3zA2t23s685tJy0uFRSVLuaLbqnbgoFvQpHesdxLbStBWYdK/rB2ScRKL2ATSDQG3rwyxH9Pw1FQ4hRbVeNF6b+xRc0OPmaFyk/FwYj12fE6I7A7tsJ48udCXiplzh8rYigdkC4WVBjRDxXUxNnlEHvJx0z4jkqosasmoLv413EPESwHf6mQoSlBNRCYBLcpRGXknAMPaoQ5jkgjwnDzYT7wwXv6w2QO4SJ2h4/d0DtBOgq+pS1C5yq2n9a3EEloPT4AZj2j71+urryNKuKnwvNABoYJH2C9bADdQn1dkC+NbL9bBL6BpcIi1UyOtJKUYBBXO3hVw3YnUjdJittDmh7eP65WIq2wAE0mJIof1WhotahOuy12j+Y8f2c10MkKIyT/N4skZc+rdXubSDv3dptwOQJgCe6z72d5mWFnQbrVMza4WqfETeJgCfkvpnloofJpoPu3nQuFhIW9XFViIkf2HpNPOu1ciaIiX75Kz1lJNaf8cOmFRMYCqcTgUgAiSCcFnDk1qWVPmhnpUvt4PRAKYwZvBDKLqIMvBY0qkMnVCRhmQccuw7/7tIhhIoQKogEo3FwUUkroFmrxi6wQllMaGrdpPLABkMDAEK2e9FDRLtwbAeZisqsz4pKAYKVKQ2G3ToaBdgKIDm02BUa9TDU4IkKteDLjcKVN0xNJVA/z3m8ghiUF8OmQIvWvV2fN1HS663mnWj8vpaQuZCPJ4pehAp8jWDwlye3noS6WNSSNXl28R7nkwMrJNngyJKxCklZh8V5ujo3wxrc+0tk7XYBuj692+tFIxf82dpvMdo6pKVol9GKYMA6dlvFzBZILNVspOSa+mDv1cbSEpDmyWvKsuJjaEmLQpj1Wv1nOOg1VPL5QMp9nwnhEjBfDnjaVfzVuUfqMogERArXL4WQ5wg8JPBMSA+s/nVme8Szdi+2a7cNZyCUHTXomRDAUWFa8fJDGGe7b0uuxIRpaCogLpuinPqLrsm97cUGN/IAxxOeZaBmBVF2GghqoAgUCwpouBYy44VBdbdyQK0z2pJbEVU0T6a23SXUXVKRnGm1khO3K3EfXd+LtrzSPq33vynotFeeIaeLFmtNiJC6DnwD5ZeP81XRU1JctRO2iYldJwHKifSk3Oa231ub19kSeIPcisAQP3bWZNtXAq+n+Ta4hO1volxEnm1+uiWRcY55zM1vVZ4Hyp6wb8ZvGwhuzzeeCrqHbPuZdl7i6FBJAuWI8hTwt/UzxFTQ9RmBK47HAfJJ7XjSqBD89OiQObkSdHJUQEsmraBVzDtXu61rl5QEQN+rAKJ1ZuoQwSIIl9LmgURG2Q9QuF9Bf8ko+4R8CGuSvR2WvQbfbgEnhMbhcxEkhd5qV3m6Z+WW2r5TOlXmrcVEBgWIoypb57se5c0O6g9pxRUixGOH2qlXLi8VgSY0a7nJCuRVrYWkGyAJoHBQxIQrpjOhDp0iwkx5GYCh1ASUFwizoa8A7ru2B5KJTLmjAmWFdmMmBIuf+NMRqALZ9eo2wRazlYry8ratvejjTpYk7/TzwqXqe2Xt7JbEyIewFumKqDtEMa/hSeOKeNF9rfuUEUZDym3jDmgsFPz/VgQjm+98nrUj7md3UjVpEiCeFoTTYr8DQBJqx2Ao8k0YmEwfIh4J8m2H8SHh/zb9BVIqSCkjkGDOAcus8M96SqBMiGfWbpYVLsMEdJ+kxS3wWoU1gfJga81jGaOo1GhIloWA722OBuDyhjG+YoyvgenLBbQw+ncrlDXvCfVoxQtBczqp5nqS91URZ7uC3asLUizY9zMSVzxcBjwcB5SFgSTr2QpBZu1OxiNheAfUHpjeKG+3fxsaF1WYsOwJp68JtdczkQpheCe4+Vb9uOtJk+DzF4w8AMuBsbzaYXoRMb0AwMDuO+3un78kLPerLoGPgZ45VjSz4rAQMN9ps2W+VfEoQEVaS6cw7CaUOBPSI2F4v0FNedFLbL1DE+zllrAIYXy1niHDOxOq8jwmr8WK+aAFn/B9pwl6X+GK7nIOdu3688WldmxupCMhnjvtsPfaLR5fAMCAkpQzzYUQfsOtQDffknaE/26H/oPtQ5FakUWi4PKZaiDt/hDhAluOXAnHgHyrD/u49Pj/fPoV5hJxvPRAJXz//T3+r9/fg7uCl3dnha8HgXSq0nyatKgvLpBlon4SzWnlHPDtb16Bss7VMGn3v/QqpJWOQH3m8PnHXj+9kzsvQJIrmFdTfCMCDxGIjLJLyPugcJJTtlwhgCIUTtIWNF1XPe38dI4iiQZIPxbRKRR0U4VBvepSmD77+vNMailhFiAATAlSNgERr8G0BeDSJcheoWR0ma+C4lWJlr3stX7/WSHAYcsALJjUoFHmRYOWjcCUbDrmANZrKmVNrO2e1F/PN3eooMKUISmgOFzVK5LV/4OVFG+XGDcBQLuGjShGU181WCqNGRRIxTM6g7QadLq9TCjLO101havPhGhgo9AjXdgSCXkcsDCwWNdHpR51Qav4DlY7HuNZ6sEh1tFYAyIPvKt19AJpUg3oRqXPinHVdnXupxcynMstBjvcUkdbkKz/bmIssibdykcguJG4F3C2MB+qALvqJfyxE+hKdMQSL/IiSwFMlEqLC57kbn5++3rOF7R7vXr/Vp1fiyniEDbiplCtv7tZC6gQDw55A4OOAQ1CTc9+l7EKXRGvquVuCRZXMasfvFoHAVrkko3/ohVqHK7mSd+V+nBDTmD9dzZf6BgavHX9/LIWnJwPlRcNTqza7nBAigwqEUQVbIdVOumBG2Yt9OUhYJIeOXXwh06ZQRMhZDJbNbVYiBdZ57p1Llbo5mYtM1YNg9Z1IkgxD21s7hVo3bu28TZPYNunUlQUQftZasmkd362/CkvHtWkUC/3TvR1XoEGu9MtbH22NRAoJ03CLgSeM2oX1eqmigoIFhv/RKhDVCGfUiEmbLcWNm29bXmvefP8UrxGzBgNZLu3y/mscHvzQif3VK+1Qe/bHt+nJsR3NZ+2RRq3hNsUTtrPwPdngwmzze0oKgzW+ONWUejEEA12wtkcUHVe45ROpY2h0yba3F+yFmgQ1/nt3UKfI07P2L58q7Cf4zkjPQGSzMqmM0GUZjdCKBfCTB1yEixmeRSeAvrHVayGisIow6z/ZiuIxLHC7TFIBKVTyJ52guyebF+PF2ldTeo7EK2Zak0BoQqoloacksgqUMSE7v1FBRRZOXgkgvBMy0FYO1He4QC5MqwobeaynjuAIN8oRcudIyRo591bub5eYhXkXcB0b7ZJpoDKSzTtDDI1cgLPhhIYi/ow275MzIrmCtpwkM0c8wI0MoHGBVQqqqEHsJgVYYqQQwKCwm/Zip5b1II4UmW7f8wL5PFoz0GTPh41qZUuotx1QBHET2MTOCMAsu9RDurBHEeFXsK74T03iK4nFGFSPnpN1PQN4rloUfhhAp8nyGBFL6CdS2SQ7kZD4XWd0GQokb4DElB3EfOLqFDUT6POh2jJdmRQVUipi/jknVrJxDMUthwJy2WHHIA5iUGQtaNGCyGdGK4Y63GBxseCw/eaMU0vGLknIKx7eYPIe6HQ4mIJhLrvIRs6gjAw32l3bP4842e/fI/3jwfQt7fqsR1U3KqGtRDgdMEaNWktNxV8s+DmZsS//uxb7MKCRRhVGP9h+gLLJQGFFFFnXXgAKL62R7WAyUQouwoMFfHXAYdvarvGPADTm6JiShb3xXNAPNf27GrPuHzOdpYAyyFiPqjgFVWzxHkoGD+LqIM6igBAZbXCKYtCg8NJGrQdJgBVOkI+6NnEmRoVwYXm2rO5AMPH2gpVAFrxRS2L9Hfy3ubEQYAgGL4N6N8JykCY73TSe5Jco/JjqQLpQc/IeS9AV0HnCJpMe6P63mUP19KdcNF7Lz1heqXfygfCxRqD8aLFhMN3WjA4fcnIe/UpTo+6HxWj04XRknUGJltz/Qcdi+mldn+9UDCbwvZYEj4c95gWVcSXSuCHiP49Y7kVPP1pQd9lMFdE0xqdZ+1i1sGoZrM2Izx+4ZERPin0un+vcfz4WvO+MOrZUKcfqer/yOunJ7nPX0VAJApZ3QTIvBQltlft4gkBdOPGXPpS+Oy6yLYVaeUVCKhoZSLMRpquwQ46XfBhqXYNBGZVx6O4ObS9su7dYSrG74NueCZxf2UZ8swjUSugslbogesgZptIMEOGDuLCEQCaT5wnS6IcS7HfVx9F/T0AoMsEmot6bzony3kz1m1GDKCiHWayrhR7wkFQ+yUCmpVIS2ip/UxDDhq8p1kw1LXiTw4jbMmqDwq1Q3WFAdUGwebLcp3g12odl4z0xAbp1U08LLaxZAvamBBPFqgnNDiMk/bDpAltOq3Kss3S4QrStgatwtSq6k5o941LeH1GV68tvNCLIF4NnmYNElPUIkjrNlpQQRq0S1C7rGWvh1UefM5Lq9z5oZ33aiy+3VA5s3ZILZjHVNbnwNCL77s1SQHWDozD8SrW7u3VXLV/l01w7+/tybD9v6kjb8ZGeb8EYCNKtU0U/PedLx83PO2NTZHUqsnvczqAdZ6kwfXWn2me3MV26MhAroiXjObnvIWVP7sst3ha54dB7amuBSZLOuRKLc3eKCsyRFwNetvpygWUg3Y9iBVKByBOQM0e7OpmXD9xQ7GAYFBPhQq5imN6UngygIZEcFXv2gon1IQ9mpI32xq3gCo9sRYq5jX4p6UAIbYEbfUK9kKddfF8D7BkA8Cq7uoBGevcq1E7XKVHM76vaVtwUkjcVlhFFWJhRQ8AkVE5bop9slp9RIYEPcqan64/A4M3N72DTde2JailNmRCE8bZwJ6Vcy2g3QCKur4Rgymu6zMWR+/4OtlYkbQ59qxr2+YH8MybVK7ZG95NrxVY9Lq32gBX8Losa5mg1rWIU02YMFcwMqRYAcifb4oQL+JEHRdHISCGHxSXnvM+VbBnc9EV2jnObMkntfGnCsijJaduDWMqra4QrjoKa3LrlKTc86aTa3PcFGNLj7VzJ4o0kCAofUD6wblsEOtcgUAot30reklVFwHZdaZEDjRBqXYGKYQzHjU2WW70Wtx3vnYCutVzrFp3xe09tHgr63lMG+76XjUq1D7O1qnx7bnpjEg7p2tSO7DgvtylAqJaITXpGbQq2jJKz5ogXhZV9Z5mRZPteuPCmnPEtpAa2eIOvkqUATTLL1pKK5Sg72yddZD+WoujiVda88OFy5SKUNu89/4AQRBPwM66utNdaIFwg5MWMvilPu8U2VBxFXye0YpIXmAKGufVTrvntNN10qy8ctVi0BJXiHB/HSpLUp72VtgwTIIhqx3NYrDnMBIkiP5NMHSR7nfpUfc/ntc9mYqKgpZOR6JGHx8rVrZitXfVqMVq3SPAT2fIfF4v1AdUAJoY33+4Q75EDFFjD4/7xlcM4X2jC5KgQWwpE+pjwtMp4n96+FNwFPTDjBAqnt4dED4mSBLUoer7tWDF5nYPLLd6//vfRoXlCnD+nJU7Pel1dB8D6lnRH2BNqI5fpUYrUoSF8ojTSaHswWgNENXaKF5Ue+AWN3E2S595M3ZJUUWAoUUm/YzQGe/zoOPuiIxSyaDG+my8uCykXdhqdenugQxObXmMWQC1ZyG6r221V9QqVa9dzOc+PkQI2Zk/0/oMKxCsyOcUiaYybXmSkD5bt2UqvRXRDHGoiFlobJldN8DQMLu1mOLwe9eOqR6XBLuWU8R/+N1XOk8LtRiVQm1dZQgwvd9hCgLqCzgK6sIqessAHxbUOYA+slp+WgFH9ze9pvENQNbpJROgyntaRcv+K69/Ggshfzk8TJxn6UGzVt1pUv4STVmTslfDCn+FBnt50MXlD6saBKL2grpXzi9VhcDMQq3yEg4aCPYPpfGOpGryuqrp2uAtVr3NClURCyAEjLpTL95wXkAnrTS26rXDIQ0Kp9fMDYLbXpvOlsSA/GIHSaz2GItuoJgNVjTNgGhXk6p1jG52kBD0IBBBeDqrQFa81WsJ66Yt3inwj6x2fyItcMovdsiHaBwuTfClsw3aifpAC3rczsDtRmhxqK12a1tnr6IlWMrf0CCOz/PqsxlIE97LqBCgg5qxUwZoyQhH45WlAF46hZdaEr4cGPOkm0a0qs2y06BdhSWkLXyqQPdYEKbaNnY3oW8bCqGJkdSgCxsEFDMRd2XamhQ2TnmDUXMlbnu+Ll4jpshMl0mf0f0tZN/rAR7dUH7lhtWOsOwY00u9j+VW4RplVyFdBS2McGaDKunG5AepHg6sVT0BqDBitqSRYR0iQMKAVZSkagCbtHtKU4awrBD5TXHGEwgiC27nBZKLBj3uMb2s1W7pkwXzFhzUqvylbiPiJqJj5/Yr86LzPSV9T4fL1qrWQaVaEsBr59fHX6p27+s2sdVOAwKZFUvBViU0zhOECOWQUHuF4/GsfM1qXLem8gsL2hjNP5QkrBQBh6g/5+m6iniK+uxtz3OuKC0ZCIwwRdQq4KT7EjcJ/KAHyKRQHBDsoIfB17Tz0x2rQfWk+W7qxi9t3teo0N3S6SEuQSu87T1pXS/DAwPTDJlX/1C6zMDt0DqirXzcOqG8ctCvOO0rL8+tLUpHWG70WsbPBGVflRdkh/uyqBqpMCNsoUcWeGkwoLDI0ge4Z7Sr3boNnOx2qH1Uz9nz3K5Hn2fWn/OzqDchH6JVKO4yr3u688R7LVSxaUogBNDtje5h+41Y4JLhKstg0sIPk86Hqw45a7LK0AIlYxXu2+pGEKH5+freujNxR0tSFRmjRYgtvFlRTkXFofyZCRSKLwq9b9Bvf552jtTB9jMbJp4BGvWh1Lu9fqbxFzU5XBN8AKCIFeZs6JV4su4/deDMyNkSXAbCReOD2um8TEdB96SCaclFDoMlk3NFmCryIeD0uULn0kUDzpbkDppogn2e67wrFyAdrWO+6eKLQ2/PE8qLPeZXSn8Jk66x2ptwo5/v0HUmdiaWToWoho+C+Y5w/FwDwbIzm5VdQewLaiXUhYGZkRel8TTUEbDxzzX+biJQXfeXsAj6T2XDTYUF/bpP1S6Akgo+0aaQWYdORR3JRJZKRekZy61yGGnOoHFR8bR5Ad0eND7yzq91OsX2SaKkc9+EO4vtnfGUwXPWNXQ86964G1Ss7qbXLrDPc4e9M7WurXOpea4IFluIJb9sZwc/juifLqi3O8z/6gXy1qGjwmwoVYwGIugeAvhMwLyAzSqp7oeGKJRAyIeIvA9XSWAYFe3TvR/B5zN4iA2Jkm8SaNA9hoqgJNbmiu2vQsD+bUH3sODyeYcyBKACsepcdK/qPGhSEWagfy+NW75VhfYCfNNK2RQtW2zDRnNiWCcMkLcEfP8eZTxu9uV1b4hHRp0GBFPjrZvo/3QLHP9Ek/Hd9zquNQlkVxCeAtJTQBiB4X1EDcDlyx3mnWD/oNDR+Z5w+dpu2GItYgGFinLDmF4FpCfgzb/NCGPBu/+2x/FPKtIjo/+o977/Ru99vtdkK++Axz/TTn2wAu/wQQVE07EgngvSJSAdLe6J2k2PFxWuWosGgsO3GWGqOH2ZML1kFHtuYVZLJp4FacdGK1CYscaU+mxC1DONsyAPmgAm28vmF4RlD6SjQaZn5TiXnrDcEuZmA2V0urMlpNHPOW3O0B7Ig2oa7L4znuqsSJy8Iyy3aM0cqlrA9saIn5vefV9u9SjLB0E9FJBEuCZN2QH51goHvs86PbRik2Ra8SVvKKRBVGkcQPrIiL/fWXKs8ym/yuB9XvnQC7D/jU608YuAsi+gS0A6E5b7gvs3T5hzRPlNh3S0WMVyC86KeJy/zJogf9+h+6TPermFcrj/Ea9/OuGpK1ijGZhbFZFcJMR/LgZLAGCBk6wQZXuVDUFdov5BEKCuktJkkFaYBUVg3UCEuVU7eamgjZ+SEBpXVqvW9m+Hr1TZ8Ai3pen1Xr1i6om8JiNr96AJkzyr0uskq+s4AdaJ/SMVCQ/MUlSIXAxrQFO8tLwGdACuktu1WwAV7nKRKFK+CwIA75YAaKT0UrFWruUqmL2CX7MNaPs/Xf8cW+ATZO1eGDTr6uXFg6obfgWB2DxMZ4PcmXcsANSZWoV/tQ2Q1rWFX1arbK0wCFeTVmSAHwIefLkn83+lQuRdge2fGLTTHlefQ8oVFOj/z9u/NN2WJNlh2PKI2I9zzve492befFTWqxtoAAQoUTSKFEWJkhlM/0L/AjMMMcJMc2moIScyjTQgzPQwCiIkmVFGAxoi0d2sd2VW5n18j/PYe0eEa7DcY+/zZXWjzIqmY3brVt7vO+fsHdvDw3358uUoVsGhmrUhYo7yGeqvQ0XYZdQ5kvlchK3BmehinQ1NNOVFyQFhqaTd+fPeXl8EHPZVrzZv1tvHIV1ROF9WXyNpeld0/ZeJJyxg1BfPfnst2AhS6bX9X193MPTXKNBO5/TPrN9/y+97Li3B8co1QKqwC6b4r7+k1774efvMIFfffSXUE4SVxo3v+97vbKrVUsX6xRWukhtnRTq7XRIdDlYNjRMBni1VM5gSNAVswhWdnd8HuICK09saXd8PMqCJ/n3vZcHo1XpX8NkYMwFACwA9WG1vD2KshQ2a7T68q5BUocUE70Jovegh++cyIPQERnSt1DtFugIIXbr20yIrRViVz0XkqpebvdMAYM/an7dT6AH4WDzxGSEprYmn36Os9HsJAZrS2t/+okrb1nQjcAN9MR7oqtrFKMMBLgdt1vEdcs0yaXaPtadcVxvkmbeeVahWFd76L79GRdv/2/OtAZO+Xpsk43vXr+secP0H+nI0YMarIO7P4oSVej+TbUIA1qn4Dqr6d6CxfNqUgLT6fACoAymSeWfPfsPI0mSUUwOwKVRkwoxF1/tJtu66+oktsMozlcGmdgrdF8hQ0A0Zw7CglIDcReQuopx4fods/lIUcw62T7FhFK0AVrUgtDrIDKC168B9nK1/MiFAF29aTPzO/DSFnGxv23pI31/FZI2ybwlzm26haEwz0nvR7EAjARwZhytbIHOlrIlrXNlNLjjlI5yu2T7KLpa62qN2aWWvtaBe4NMSPCm7eoUVjG4MFP9RJjDoAINUCm6G2YAla/UJ1re52k1gvOmjp8TP0XW/+SSLAGnPydkI0a7B/Xprj4K9p6AxlVRded6ZL4BX1pwqr5H0YBXGvrLfIcS6Al0Aq2qGUYsBTWFar5tFAG1JgxSaWDoJIBFh4vmnYhMBEjDfVdR9hZQIKUIhq56+PUQajFZpCRFAO8770IpYUg0MtWSom2xzQda94FXLBGtt4Z/lEFD7jtVYs9E8iiV51+caZ9IGznOPFvvKGjfXKEDHfe45iO9v2sZ6dvrPNADzzaaKvxCM7s48q+PM74iXgHgOpilgQnNxjU+Zo1C3INsYI2kiaGixqr9n293FfeNnBJ8l1ADG8ypQlTUizA4CgXONy3odZQTyQLsP1vurVoXXAKhVZFkJX3OKaNeL4D5S1/OteoWaiT0AxJNACqfplEGBRNZvCBWXGxYvyuhnnSXoVtWnsNrqI0MGtXD+gNcfn+SmCMTYqqHewxafzOF431MyZb+YWk9DGYOhl/y79pa9R2B5kxFvF6RYkVLBslCZS1Gx3HsVjhWvYtxzyUBNkciIHcjdUdBfbNe2QImOX4eIGtIaIFRlBXfOpJuOFDHxPpQ69qQyL4U9f/5ShQZzjgOrZjIVyGUCakV8b8haSw7qSovzkRdbR58LRDgfGDGgvLmBlEMzZlkK5Hjhphm6lb4WgvUJT6QJ3uyMel2Rnme4ciyAFcFPPGRd7TgU9u+uo2kAtV43YKUTteDIFXqBVgn0w0j7RKQ5hysmm2QfVyFG6+W1hFJRESBBUMXnzNaW5KICwweqR9aeSKoURTrb8+mDqUWjHV5USyZCTtEKPue8IxqkslZyXTVveLhO4gCs9GS/dwuYHRypr26Au71Vafh78Uxl4BoD6sDrybuAvKPAQRkU5VVG2GXc3FzwanfBXCJ7G3LE6eMOmAOYsTrdk45jCIKwsDqhKSAsheIxQKvutD6/ukm6riq3Ftx0sfXlXdHuu8S+Xlev3SYMxZQyncq4DXK9b2tblfKqsotSpbSCJ/b8SR+NTCq8B9eCUFmyJcAvWCKbl1r13ANvcRpdVY6zmHmvTkFsduiVGqtItKCvrVFaK7ObCtvLl+TCaoYFZY0eZ6PEyCBRtnJbcIjASkT/KK3fzhkHGgTxXNGd8spIUWNa1EqxPMDjghbw+4HsdKX5XhvAwoiJB/d0a/e2bNBFZW8a6ZSyoa6yUlnHjlXTpdDHpWBVVgZCARU1Wm/iwPEptTcq21Cwu53w+uaEy5JwmTssc8IlDAiXgPmeld10AoaPFOua75MJD/G+Sxdba4qab3Ol9DJE6E0HWSrSI6uQpCZ33JdeIcpcPzlNrQJfD7t2frm9ypKhQwfdj2xHeD5BSoIeRvioHVXliCCRlgRwzxmwuWUBmOKzdKRdN5GgFBsDoAkBKYFBAcjUiAH1MHDkzWz+eQPOtjnlc11BToDPzBg2YuvVEhb3B17l9WfuP7KKtXpvpfsBE+VpYFjFFfgaztl6Ofk7caJKbQpAb+B27T0Rom+qSawixeRDymYMm31fWKqJWGFVEx9Z9Sq7tQ+O9FVgOqxjSu72I/S8MnPyEJFjh2ACTsPXa/WLbQfJWksYp0hRiCUO6VKhszQgKBxIgS27iq9+9A4/vP2IXAPmmmBNSDjnDj/r3mCZEvJtxx7zLAhTQJhBqulC8aQ0KZYdW1pY6YsIWZHOpvbrAnKLIp0WnoddBPrIs7soZM7ovqUYWj0M0BSQnhfEU4YoUPZWmewTUCvK7Yi84/eEBhICyNoqsRI7lI5tHGEq5nMFtesoGvVqRLxkxPfPkHkhw0cE9XaHcjM09VapSrr0UldWGjzZ8v3jCbai7HvU1zvUPsCVdQH6yHSs6B4uZPMIhXJcR6TuB/Ye2+e1x1vZYztcMuquw/xmhBTF8JtHyOmC+voWyxe3QAW6B2Pz+RihPjApEvbihkiVfGenlMHO/glkTDXFZca23bE26nl35D5dDtZut2H3RHE7t4puMopmAlmNPbC8KkCqyE8J8Sw4niJ2f/tLlOkM/D/RnuF8q6ivFshzomjhWbD71vrCDVyZb1l1jBf2socM9E8AwKrm/AqY3iguX1ww7Bb8+59/jS/GJ/zz3/4UH76+gwwF+5sJfSp4czghScUvP7zC+XEk8yyz8vb+3wnM1CpH4ZRBcf5ckY4B43sCAceOfbb9Bx8dBSw3ADpgei1YFsFyAPINRarSkfHb2UbldE9AOgKOCGkETl9EaADG74DhoZLNl2hj8w2fWRkNVK2K4YOi9oLpNZPq4Gy/RdCdK6Y7wdOf0mZvfgmM3ymGp4Lu0fZFAKQE7H4X0D3Tr4UFyHv2SLuNyAL0z4r9NzNHIPZkdZUB1o4pjdVSO0AzEDvGqa7DUXttE01cy+b+Lyr232bMtxHLIaD0iqcfRsRJ8el/fUb37oj58xtcPulw/Czi8Zbg2+4bQTop5nue3XmvyPcV4SK4+XlAOumapBuIDasV1iyYDTuNp4Dd7yyWMXr6zS/5HQ9/G+j+1hNirKg1IIWKN3//OwDAd9/eIbzrUG4KwusLggrKsUM9duxc2iu6R8HwQVEuL9H93//645PcjVoln66uhzqwHtiwJCg4rU2ugrFqSApgBjJUjOOCPmX0qeAUOxwXcvi0r3AZfgaGZoj2OYAdAhb4vUThATREsgXMDvB7ot4JaogUr2oVgRUJ3yIWArTEmT0fgUqOYhXeNu4nrlVeu4bW14myotR+iRaMeDB8RRP29bVkeaPv3qpXjrC0/uKKNfjKRIACbN1lFY/xCocH9apxPYA21T4fN9Ke/ovqVQvkFQ0Z/v02ZH9bP/cWQY6TtiBWiomn5ApRW8tcG73aacFOl4FtxIaGBVsmUziupuQGOLUFkPhvp0F8r/IJTyivqzhSdJ1ZJ6utwyt2iX0KXZ9xGGa8Gs9McruE89JhuvQUq+3iiuQ6attxXWoSSL+ZS2l2un0OcBt+mZu5/YUXo4C2zzCG6wS5gRvVbEoAMRre1SLp1fp87/VS/91/18a7+D5qgFRwRPX3J7hXnxF0vVdLDNn7Vq2CgbWX1IMpgBUcr3CZOrIzPkTLCuX+3iq0B/y6+htP8v1XikJh86VDMD0iEw+xewydtU9k2nI6FyYN21cmNdxpu15N3Yq3NaQ6oI0Q4IFkPkKZGP3etXQf4joBL5/ZporUKLlXKJbv/c1BmBShqxj7Bbf9hD6WtmxL3/FxCZMFKawES6KwjAeQ0JU2BbEqdhQmQ1Z9q1EQq9+X+WOvcjlbxxMzByyC/dx9uW5aUjzRn2X1v6Zr0G7AK8Rb29gyXFSxVSFHkLWntdRV5Or3vRz8NP/WRgw1G7Qz82/aa36dYgnj9p9dZ8GU81r1N0qjVbd/f8lO8OvYPnu1liWsiYszJDQKUIrtZf7cW4vKwLEQZH7pCsjmCoxirQOsRqoxfrZ9aM4YsAfIR9sr6qhMPKJctRH52agxALOpDAMruJYqrkT5zH+3yqYluFdj6QS4Gy74YnzEuXQ420HSScVTHDAOC1SBZQyoiKgZCBGICahnYQXHD32xa2x/NmdNSwbNr6nCgWqf5S4LVfY1BnjDv+Ta/IxTkmsfIRrZvxuFGGTY2Lo9U/dt4iyBwv9fowkxqQCR6xGC3cvmM9T8kV876ZC1se62LSPX4oX89zKsfej87NUuvWIcsrZ18j1fN9oCW3aN5ApMswE/Zm/TAr1MAG5RbDRlvFjCbNX86lUz3xM2LoVf6mu3MhSauS1Y+8sXbYwF2LnG8whXrLlWaQ2wyj+aP68RQKqQvkJ7Vnw5Giiibsd72WeExHF7Pg4ozryOatXUOBPs9/5OqaT5SgXmW8Z/tVfc351xv7vgh/uP+LR7xuv9GY83O3RdwWGc0ceCQzcjSUEI67P3WCwfFBqY1IYLgNH26YZt2d5jdgbvRbZ7B5h8LXcV8RTY4gPYSKKKeAnrfjHcnN8L6AfrNcUKFqkx+rzn2VvXmgBXZzZnxzDZLEzQvXoaTRcjzIXTTXruC9cYkMwCCwFsAzImWfeSjV7zPtji+1828Wukw6sJa0eW+Z5W6a08P9OltnYRPsOAywgAgniagXcfkYYOXR+Qbk112QCkdKEqdhnWz/dYPE5rLF16BVzsr4DTJ4ugZkFahIJsUVB3/n5biypIiUOHigqSKN7sThhjxoeHAxQdEBW7cUGpActzDx+7VP0+C1qF+N/2+qOTXE2JfXmGWPuogVaBmU29L0ZUG7AepgIJgrBEhOgy3URjp1eKOijSkNGnjM9unvHl/hHvpgN+Fe6Ra8CyJJQimJddswSxuKVGaU4rZKIxl097cu6fFjtsWTmOU4EcF2iMKIeu0Uw8MXdKVx17openedMzuHGmHhRVBiziIgde5YJlTS5i4slDVQo/AKTjpGjVQevZmjheyFX/rsRTPDCyhENEeCbYvFykZBQTMaXXsFauVJsqompkZacYmu++JhKhRRTUIbGf0SteGypbmPxgAuLj1N7bKgCRB57TZRuVtGYeKvvYRB3iVIBLppMyymDI1QKZ4PGcJbd8nvwHcxqnjGQUOQozRMRDbFVdDcDlPmB+beN6LJjINxVNvjwquid7FssmcPSAFOBa2zidYAqR7Vk4xS+EJmLG+/VDzBxqR0R2d5jw6nDGT24/4Kf7d5hqwnMZ8LSQw3mcejzrHrVPiBMFuFj9YNWrJkGaAmIf0PkBHxlEx1O+Usfm7OQOrV/X+mEbnT+4Z80reOKBfr/a8FW119bGKXAtkGjVTrv/cVyTClXap4/G8uTQBtmL9NCOfY24zFffJ126pqRWC7JFViAn0AY1BMD6GdszzAwBrvrQ/bOisNd4AxS0nkclEABjTECVgbGPT9rux+3abGxDrdopEz20SAd0VGkPs39OaAlca/fwYN4DNgUTMiUlESmYUI2NSioAbrDS43ujCgeQhtRVSFeRdyN0nqHTpiE2xlVFerO33J+HKbcKTO2jBWmUGin7RD/e2bVZSwkG4PDpCV/dP+D1eMJ9d8a5dHjsd3haBvz83Bvjm+yV2pN6x/55QIymLyWiO1X0TwZqJQblkoXnyZTZ26v6/ar+QrBAh4RyY1XTOgC5a8GzdhF13xttsLZ+Xq4ze28lZ4QT9QXkMrMXN6V13Nt2vboE1YWigaorE8RHBzmwBHB0nQh0169rH+w8ynX9/9US+gowySkEEBYKFgGe7BDEkKxIz3O7Pw2CukvIYzSxHTsThrjZC7gCgKRUwNxcu8+iELXKd32RqKsSIPEq2ibx1y4g5Ip0XDagCZOyOFlinAQajB3W3str7Z7rmvR5gtvRZvKhslU52nsS180Tna1+SDoVpLzqhLzct7VP0J4j5/qHbD57rUI7WO1CKGEGwiXg/XmPr/s7fDY84UfjBzyVEe/nA+dELomjwIJChwJBhJgg0XLj7IfQEpDumboT4/tVZ4StRzbyDLwmiLR595qsQjtlxBaT8fmFSwammaO2DsOatIOfGS2xaPT2ukkMA1kA8cgKbHiiuJG8OgA7KqA3DZC3LFW1XvBMZoX2Cfm2hwbBctsD6BFKbQJ2bivBWAW1J/NGbe4x+2+JMqQzqcWS66qjMlE9tuw767tnvEF2GvdgHRN9QzcCr0bUFKieXRXpzQ3C2EOjIB3zC5ZP5XEowrm8wQDmAsQz2WX0vdqSOooM1Q0osAEoVFtS7xXdpnRu9q5mu66Ov6r52jM7JuDMRKvuWe4bvjujnI/NzvtnhXwTkJ9HdE+sgNUkOH5pTCGrMIcZ2H9NfZD5TlqyDgDLgbGKdhVVBR9OO/wff/k/AqYAOWT0uwVv757xv/j8L3AuHf7v3/wpns4DRIDDqzOmscN53wFZkJ5i0xTRyGcaJrbcXD4huNs/At1zQN4DTz8FBAYoFaDLrDbHi6DYLFlPxvqPAiA2Cjj1d/g+PHCt+0dW0C+vI85vZaXAVmD/jWJ4rJgPoY0CizbRwIXBXNR0/Kh4/S/JIM0j8PyDgGEn2PWC8+uIxz/l/XVPpPR2z9Qb4J7lZ6UjVYKnu4DpbkQ+CKZXvN7+CSYKZb6tN6XmyvguLMD4DggXYB4E02s+rDATNHn8acTzV/tWQXZVZI3Ah79/h+6nN+xrPmb0zxH9B2NfBrW+WCBdgP5JEP87xkB5Z8wsq/47+7aJvxbg8MsIlYjumYJ5Th/XCEyvuDGG90D9L19jvlPkryakvmDOCSFUlByAkX7u6XEHLQI5B4L+A/uLZyTEhSr9f8jrvx+6ctWWvNG6pCU6mAFHe0vPHgfJlUGJz64Up5SyHF3HiqFnBffNcMJPd++wiwuOS4+lRMx9RKkB3z33yFOAz1sMVRr6SdTXgrwxICY1LnqlOEsU4GKCCb3RbTxhraaW6eJOHRMueV6YmA0dg/5tIOuCPFvFZa8iNFXXNUltlQaX0Y+RYxei0Uedalkq5HQBcmaQXRXSd8Bhd/39qlZhrtCcr6pqbS4iADUFQ6llfY9ESClX74EI59w6RcccuvSseKhRdlCtJzRXBn9BoOPANRN+t3ruVFcU1JMaUeXvGsVKcl2VEPNKk9Se8zHrmAwhs/UJoQkIhUvGdsRB6BM0DBaEcM0vr+g813luoNx8qpBdQdcVLDfpOmHx622I7ZrIiSdhXs3x93WJ6ydYgQWezxacKbRT7IcF98MFX44P+On4Haba4aHs8JB2+DjvkELFdJOwqNG6NCDMwt7ziNYfAgTSl4FWvQ+Cq947FTG1bLsmVLQ+WRGrYmzsyfdCEJYcnLbqM3M3Qe3WblZ7XL+7rY3ZMMGczZzWgHUs0SYp1csEaF2VmDvrjyxrfznggRnvVxGA5GADWqDlAZ/65KJtIlctoe024BWXdd2r9p4m4qV2DU5l31La/T63a+9LVApQAOlJd5VSCZIBEHuG0sWVbm7gic8a1aqtB9opzB70s5/KAipHgL0f1m9p5HzS2o30Kw7UAPAWAp+j2p7FZjawVNJ4fTzHOnrCKi7e22+gDgC8OZzwd++/wRAyhpAx1YRdXNDHPX7d3ZviIveI9xFLccAG8H7MUATh/SbADwLECi1UdQ/TQiR97BoLoAntTHOzOwRQXCvVFdgMAWVMVhlafTaFpQgKaQCBW4CigTmzF83XbwMKaTC6cavgeqVtU/n1RM9EzXTPOagt0XSROLMpFygEVr+i1T7HXZ+gzReN1WwrF2A/AD1ZF2XH2ZztGga/X938oQ2zVYTf2YT2bM3Ezj31+/N9bzNXfeQalb8DlycrwvPMvZi4JpICaiFoUjuyLcgwMfuy6m5LZKyy5wIutVNoTwAnDKwiudZFZafNlZ8KU2H/myuLX1VKnSHGhDxcrDpjwFO1toJg1QtqJBDQOc0dPk47fDV+xJfdR3Ry25LcUgSaA8SAJs3WTy8UbmHvodCkHgX9I+nZ3dPCETwdz5M4Fch5IShz6HhtzjKTAAxcvhhDEzWToqxcHs/2vDv6QPNPnL++gokKRfD3WXzGPruFoPvTkc9kHCB9pCDTTL+wHOyMtv5fH+mDCsiha/ZHwSnS2RtDrWKzH1Oj4btWigt2xXPhWMRo1Vqg9SDnA8E2iuZUxh0OgNqzzT2TZ+/nDgUUwzLwIlwyXPUZwAoq9Loy7Ox348Rk20GIOEs7g7vnDNmAK9Xa9khBps3Fi4m5BazATlkFuLaAbGODCUWiAKGgX8ckNzyeUM8r9T6dgfCRPZrds2J4qJhvA44/ZiWufwwIEzCeFePHiuUQcHmDa/HX3nsj+ZnTnLD7qx7DB+DxzwLSTyZ8unvG//Tm3+Dr5RX+8/nv4vSww/7+jFeHM+Z+wXnscLl0wNOuVYsha5wOMJmWYuJSZ+DpR4L86QLkgPgUERWNphsX71/ltaJQ+CksaErAsN+nHVhieWEFXUPEcqOtjz8UIPwKGN8tKF1PMbGweX9dP8/7uYf3FXUI+PB3OsyvSFtPU8DlE0H5WycIgPkXO3RPNuayMl7RpMAirYf38iZgvrVkds9qafodE8e5tSCRlYKqyGCPr37gZ9YkyAflWKonrunlUzK3+geCBl7lVQFOnwtEI+5+DgzvJ6Szoju5XXHtpFIBfPhQcfPrGXkf8f7vdUxybcKJOoM2rwyB/iPvydcLauKpgVRt7SjOdfim4vh5wIc3CUsVJrcCaA6m6AXoiYU6Ju6CvK8I+4ySBcs5YqPP9ze+/vgk1yuLW5VhT/QsuNVqvZOXQgGkwshcsjZkxBu92fC8HkYf5x3+8vQp5ppw2024hIRL3mPOEdJVlENhX4uJP/gYgbzZSADs4LdD1q6zdhG438OHhouCSH7PZWk9sGr3aYHLVfLTKkZDC+pdBRMWDDWUO0Ui/Da2QlMEbg/2Oevnio3XwZLXvq1qirQvRjm42nKj4HUJeHVnyTKDQNIhLEixhB2mPO29ak0fIKwBOQMQGLVcVuq3izx5LiLC+bh79qrp0DXqsI+uCGeeTnXfr58DWCXRrs2opF49E9POV6smb9Udtbygx/qzgM0vNnSe4kyu+CpweffSAzCdjHAhNa9WwRIjxgnXCYtdJ5Lge3RBD1addr5JeBggaENor4VL2OBfqqDUgKl2ONUepzLgw7LHcxlQqlEL1ZKGIm2cTPvnBAZQGYhDaJ+vwaloWKlg1fZe8GB1Q2UHWqVDU2R/7MuXJ5k+PiVnQDfjgrbV3m2CC1wnwvZdK+XeqatGkQRaYCCu6tzmiUZojNaHHq6+o9HsURn4y/cs5Orls7y3oll1Wz3y3xNh0pM3II3vZ///bs/bSvfmvp1eDKDZkMwZ0ZVHvee5kwYGyKJtX0tg4ntle55Eb9SVeb0uZsWgOT1bz+CgQFTUpw6X5w6vToB0HcJuaEIlMs0QdGs11/1bG6WirdWhPSOPjS1ATRcKbC037KGqvaKo4OOyw13iF51Lj2MekGvAblggAlzKAOQI7RTLAVTVtLl9aUJTU19u4hWNqnShJaX+aqIckf39GBNE9kCUNsKOzyIAy2K920BqbABZfbXZnziw6bODtaNdOiuhfbm02etSu2txKasKw1Rf9UUFONhol++BbMBaJQIsIHafI80vwoACWSpSZlCkfQK6SI2EbgUh3FbEW218Sc2WPQlm8hTXcyms/4bB7NABKpHWciDn5QVDuOP5A5ivDmisEth1qLTbDnkFIKQoyq5D3q0tPxQL4lzSGgXhFKCdoBaOE0EWoFL9VS4TNTLslR4vEDXhssS14T0TvIrnpYlnUkNEVpDI1HB9rIurKtehIn5PBY7+OWtErQHIRu1VASpQRrVqIHt008lofTOp+qUC+ZAgOTKxT0wKo/XBN+X+ZFT/rDZeyZ67/20sGMS4tj+5L1Hrz8x1BdMUKxXafdiGPizJYqSAZkvut9Ipt/OnJisSOBPknCnQpsnupfD8N+aBqp1NRVC7yD57waaVjX8vtwm4SXwWLqrpgj3iv0f1cSZs43qdygqr2qziYJ9dY4DuO0QHyyvYrrbdgwb8stJuG8Sqr7WP9izWa2WVOCJeMqvxkWdMq/ICprGgUCsmuMq5i4/xe6//bmsPkE03U4tGB6M1bH5nOXAGbO0FpY/QxNFXSQTdIyzJUbNrAqg1AHmnZAFZUg1RnE4DFED9smD6RCCfX/DmcMJNN+FjOWDRiB+/+ojv+gXvPt7gN+/3QFQTGxTIjklZ90RFaJ//7nGZKHB5s7al9F93CLOwslnQepadoSSFz1kiK40ybNYq42qePGfpVqpxd8D8SYGooPvAPuVQViGybFI5YUYDjEWZ4OVRmG8oz8H+Qa3aq5hvDJT99Q4aFMH2+HxveiwHu+4InN8GzHc24i8yQe8/srqeTtW0hXxUjmC5p3FLBRCA0xeKy9sADYp4FsSLmFI1ARBv31gO/PxiFdJ0Ygx5eR1Q0wHzgUr0rRXDKr6u3F0Gxs8UkjKf1vGsCYBR8dGuqzEPYIn7jus2fVpRdxVhShgeTPCtCHQOa0JbZAN20f7LDdlK3c2M3W7G43OH7klQN5Oy/qbXH5/kAmh9SbU0tJnBuSe6rHzE42KHfAEC1ew0kM8u2U8QcFMID4f35z0+XHa46yf88PAR59Lh2+MBS45IfUGJivrcQc8RGijvLf26QCGTYuCceyBw1MRSUXcJ010HH8GhUOQbFy+g8AWrCIbiDR0R0KWsqIzTGZ3CmCuDlCWzyge0hKneH1B2HcIlI1xm/tu+J5LkYk9AE7ti1YyVWVQFuoR6u0MTCQIoCtVFfmaxCsv9bhXNARDtmrQjNVhVTZ4frDbGddTNVfXVXt6vAwGyzRGTk/fG0qMQVbaDN3nyoCsN+unEYOJmaDP3WH2oDTWF94E5eimr+E3dpau+JNn2Zl4l5UphFlt7yRUhADlGlIGoUjqtlGYAhogCeuGBmk5+OK7bQ+fs8Dg/1wNXF9nyaK5LG8GnykCx0Km1PiKj3iALcg3IGjDVhFMZ8FB2eL8ccC4d5krGQvUkNwPxYsinATg+u0yqIJeAVfETqENcK/gGvsSLBUCbajnHclW4KBR6G+9gI1JatVhknd38dGojfwS0f73ZsSpznmifW0Cgmgd1gGNerkbXAEy4PHhCLgTIdo5EWJW6S6RdA3byXCfSbU6u21Bcf4YKtHYlAyScCr+dG+2BDJ+h/fUi5xDIasf+b6VANvT1Zq8xsFVhphCZmlCRnDlbuVEpY4DPUhUfGfKixYHPoDNQRYGgQAGi9e2q9Z6mc+X4E0v0SgfgFtAOBAUXQf+kwDhAdNfuQU8XCDpoTWS4dB33X29VJN4oQahN75xYO0SIwQJAoKaEMhKBnnPCx5mRQ5CKc+lwyh3mmvBqf8YyzPjtJUFPkZUDmyUpNbTZ191RAaFQCFUpDTGWiJoV0avZudr6KWdWJ0GJHWTs6PuPTHZcyCmeAbnMtOOTPbeeM8fb7M8Q2hgtfw4+sqUBWw52iPU8dgEV3ZqA23OWhyfoNEPubihq5cBwVcjxTN/irS6bBIzrjHbeapRGQVYTEBQYM8B6WlU2AKHZRlPV9mTAgN+VTvkimI6B/ZYzKcoK89ORfl9UKeJ1mRlkGxU7PJ9az3Gj84+p2amItiqzABDTu/D57u1MNFBYxoTlhgIy/VOhnZ19jrWg7HhvZbE+wwurC8NHBZ6O0NNGXOq7j5Dx0PxW3XUGki2QWhGeJ0AV9W6HfNs3oBdCu4Mq8i6QfTYIR8DtKkLgHO1iaFjRgApBVUHNTN5kJs1Su3UsYnpOCJPTKRU1MvBUEQN1FPOBo4vSJaDbsxLviRJHzAhSLmwHUzSmhfs5mSIT3c0YtCYwqaYJYjZlF4+rl/tQYAU0t6CgnzHTBETB/MkedQgUqpso3hefLjwjSk/BxJkgn/YJJSVrk4qQxF5qMkPQzmp/zbuI0ktrX2BhwezWGDwNAAhATWRHDA+FlVMHUMLaGuKilZIr0sUT2OvvZasAW4HS+yMQA8odac9MBkLrW9YoWGwMUZgLz1pjuEk18S4Fgo1XysPA9UrWXuXb1I7O9qftXf5HOrNtLE7K0VEY2+XWRIHN+U3BMgnirSDOgv6B/ZHjB0V3XG/Sqb4agHxXIHvO1IYldfm5A5Li9Y8/4n53wX1/wU034VV3xrf5FhGK/+TNX+Hhfof/7Ov/MW7+TYflAMyvmajovvAWnjuki2wqpUarTcDzjxR4OyH+csTdX9l1fuSFXV7HNma0jrrq5VSyOaC27xcgFqB/MmX3ibFoOnF/lF6w//yIeeoQv96jf2KuQOVfYLnh2dIVse/g0tdOsOwDcxYTKt1/y2s7vY24fEKfc/dX3HenzxVlp8g3BhYk0r4VwPkrgsHxOSBOBOPGd5txgTMLg2GuqN0Opy+l2YMCyD+aMd5MmL4+YPdrUoQP3xQbc8SWzPNnAee3BCvKbaF//TohZOD8lrT1Bt4tWBmwZgM1wQSCxRSjBdnOCBWujY9E84pt6ez5GCMr7wkCxi9P+Oz+iN+d3mL3HZNwWQTIEd0j7bLZfAHiYvN+v1xwd8te8Jt+wr96d8DwXoHj9wHF3/f645PcTeSnJjhAegngaqitqjVnNLpfCNzghQF5KBwXE48BpQLLbUROHK9Tlc39D8uIuSbMOSHngJID6hIhi/dsbZKgQpR364BrzyRIvPocXnhOvw+RJialVddKlXuYAFwBfP7/PaC3IGOFpL3HlL00raojSkpuAJ2nrtfm74MIJLKfsaH+2+XPlaDsdjRR1ZUuHogwyrYaawcBgjbk0X+2VXhtFd24Iqjsx7XEV3jvwdasVdTmuq5fkOvAXgH1iv92/etmfSOTiLbWgMm+65q0+GcAK23VA7UUeAgH0s0qDC1FQOzZk5IiUE6C7ZwxP0zTxfqYtiq6fq0b22lUW/+5V2o2yrTbcTZNUGXjGKapw7Hv8W7aYxfvcMwDHuYRl9LheRpwWRLKFCFLgA/HrgBtRt1WXwYj9leUKwn/dt1bUZwrY1pBAx+R0pJ3t0tPbKyCJdvgPhuc52viie12/V5+32Z/ej/oVmynjera7gu/Hn8WnqiGwM9wxc4r3xRY4fVRFimgjOu4J/6O05tpL+v4DKUNG9tDrI/M99BWvbrNGnZRqIArW325vu0at4nSX1f99pchpm5r/vy94iGGxoaNnanwEK8wxdYF36vUAGC1cqMQ3ujdG9EmffkcKgDR62AM5tMnosDHS4+P3Y5VrRpxKQnHZcBcI56nAXOOqHPkeJUKHsbZrj+jgTpqzBJXKOVz434g/dCeUwprQOgViryxzc2+5PiX1Ozt972uBM/sGTWF5O16hM2er/p9v2xUXrR1BrSaLUBXRoj39MqL7wXQFJXdv1qioZDmVxVg9daSBooMbWmt5u+sehYQgFxbYoBg/d5OEKgvbNH3Tesh1HbPLkbmjJCXjIurV+CZDGCdrb71tb7vzS84MO5sFalW9ZysGuptwMEqDAbgSbCKu70kRZsfbqNp6ub8BRpDp9GUBayQ2nWKMvjztZRFgEUwLR2OS4/38x6/Sm/wmEdMJSFXJvUO3ooKK80a2lgXv+4mngi3d0Das0Y7m4OuI29qxx9oEpQxtspY86OKlbVT6zpBwinORSFBV3vT1XbVfWqMQFJet9Gg1exd/HkVJZgXOamh1LA+w6BUChddY4Otj/b/byCmV6e3L0/Coo0U9Io6EFjAFM5KLb0lugEbP87frX0wE6smEhSuqqZbe16/2Pa09d4CgA5WITfBTCkKSRbPLtXOlisqQzuvRFc7clqyqCJeKsSKMa6q7L47nXn9jKGMLq/rmvy+Vx55HoSJ/a4NLPBtK7S3MnASxbK7LnDwQwjMMMsTCr9aTF4hyBrw3XSD9zNZiZeScCnswc0mLOWiWWmXIaIAOo6k8fMV4DMz+ms+JUQBllvqpzglPe/XyqfYnPV0lCuALpjIkwZgPgipzblYEmaxgTL2qnNEByZzeRCEW1YU+4/Xe7CNFIrWJ9sJaowNHPS19uppWKgn4eKLkgWxYFMYMyFIUTvLuBZOs3YgMkuEDAT2vBhDxW1FViBGYwMYG7aBOxHm+1lF1eQP2yr0HfOlRoGPPGB9z+Qdq/9SBf3Tmhe0tbBhF76vmi25+whodPeQAZ0F03OP9wLTkqHd9h8CtoJaamMKwyKA0dHrKeEpjAihIoYKKIFFFwL7t73+eOGpPgElrD1FvQVH1nfmDlKmjHCcofsRy2c3rWchTgVpCsgX9vCERZD3Ecd9DxFFLQGlBFymDqepR1HB6TigLgFySkSwLsLh8vYSBboTMH4oHGMxcgEdEY1TMDUzn7967dDW+YJizt2SlFIs+cHq9OomyLHerVbNMfRarY9QpryqOBp6HzYq1FK1iU8BICouHAFQu4Bwzgiu+umzHE9TC8IRxJLezCC+74kwHoxukBXBht2rNahrxxEg1ShZHKpuxu7VTvX7J20QSgoMEGy8R0JYKhHSpSA+nCFLRr3bI9+wx6y+vaVDWAriuVjlKrYArVX4AatOhHYooFZEowZpn1qvlM8KblRsEwWqQ6IYRq4IxwlBSK10+mAoEfWsVOUTrEPWbcPuvuMYJplWepu4SFIuRhmPZC5cJmipkP3I52wVdukSyr5bk55MW4uzErU7kvJyeRjwXY44Tj1+e7xroM60JDw97KBTRHiOiBexwErZl5hX5/IS6fVZi6w+ROsXAhDRKMwNWa61UbudcukJosJmf5oybEs4waRAXH3UbFmeT9fJaAsYI9CRpt4qlyFAko1gqQx6fM6wC/7AegIlCOcWirSky/epokK7nrYbrBlnQxkTo+4hEWEnBY6BzXwXUSMa1abNZS2KdPFxFbSzVsUx8Ztmb5EsCniVdj/w96e5tRrwutdk3vsQUSN8JqIDBc3uq7SeTI2bQN+AK+6XilZqcECsjckhbRgIqB1aT3q738I5jZjmq4p6fXOHGvo1gb4sZE1Mllh5r/CL5Lj9/mat4gyMvwPSMeC4O+DX5w7fjhljb60LSvaBj8qKx0AUfhakCzbMBbXns1HSzwAugCuQsvIhjYVSjXHSPy70m5eF46G8Mmp+RSp9ig4ddQUu85rQteS0cr979WpD29StanyrqAr31GLng9H3xdk3uwEIu3WGJ+xMiQGaBlZf9xzVJLm20WCuEE2QZhOJVrAf0R9FEOgQUToHc7gui1U646xtjqMHU+lSEZZgwmGuQMr9E8+ZzB///GhigcqRe2jVQFsrY2HU2z3ayDtXV26/x3XUFNpYPjlNkC6hpuEq0FajWiMIhu9mIAryLvFepmqqnQFhDjZuRJoKK2C2shshoQDv7TMPO5T7W9SdrfFc1msH2viZfOiQ98GEK9k+5KON8v6AMgBQ9r6VKeK4G5FzwHlJ+OX4GilUDDFjqREhKmpfgRI5CuQs6B95PlTrgaydqba2ZwnkMayA2QZEkgJ0Hy+AKspwAAZgOUTUe1JX+0e268TjworpeYJeJvaULxnad8if3tiYv3rlo6TUJrSpdx2KaWHUZL7FVInJBLOANFcyHx6fARHEm3Flk6TA9gtnxRnIyHam0BIUDYz/WFld/RWr5wY+FopycRRg4uxVAXDDxHC6o2ZFNcprvAC7d4x78hiAEYgzY8DaszInantgNj/mQnAbXQQVQZgzwpxRh4T57YFnxcOEaFoALlqVHi/QGJFfDQ0cddYFn50inOgH89s98hjRP8wYvj1SoOumh3YBlzcdagK6o6J/qjjngPkVw5X+AyuWece4gAm9tp59gGN1+gzsfhfaaJotYFgGghznTwIun9qtVkueq0BLQHiOGD4wMZRKUcDjqwFDl7GUiGPs8fXDLc6/viH7ZiHoIYeKy48W2+sCGQt++vk7dKHgL//iJxg/VJTORyMK5nvuge5R0H/sMN8pHv/ewpuNfP5yZlErzqQ8d8+Cw68JFsw3q8CoBqAOwNOn4DzXvwzoc0XZBZQdlbPxm5FHbQLyATiLYL6P6B8Un/+/Z8x3ER//jKrv6cTzrA7A+WYDEoqsgEFi8hgWtOkxZaRWwPAuYPzOFJQXJvSnH3AubPck6I6WlN9br7GS7ZH3/F0IsPvGwRH6iekztthJFhN+on2LKpY912K+VZS7DBRWjDUC9YcXxD5j/nqP8XcRdVQbx4Q2M/r8uaL+4ILltyPSKRh4ZPtpAuIZpsTMyu18L9CeoCLM1zsFunvmn3TqobHnmNgRSEfF3c8raid4//cE82sqhWuqCCcv7ADjrztoTHj/RYfzmx6ogstboB5+D2j6e17//dGVLelqLw9c/edAO+C8Yuh9U17RhZjsdBBgCSg5ohZutAzgLB1qFdQ5AotAZkGcaPDevL7KaJuz2vRp1AiICKRbi7HRe0stsOQv2zU7L8BfwT7IKILtnrZ/+/16pdjXRgRO575ak5fzFLdwon1OTS5W8uKhBlkDjO1n+qXJpmcnsrtESkBFRbD+5BpXdN8pT6WTxsmnuBQdnjPSpWqbFdfWC6GpZrf70g0FLgWogRo+tuNKgGX7MnChvSo2830rkcuXlVaxU9LWpY208b7Bhd8ZLNlce8CBshlTIorW0/S9awK+9+/qs1/rhuIKsFrtb1W+z7/TK2ySAZkDSoqYwjq3SFWwLBF6iZA5WB+u2XHY2KSjoP7fmyXw/1aAIJMamhoF+pKGtr2fq6oUzN6FgNWLaizHQzlllAGsFq4z1b75PdtD92o9rQJAdrEnetcV2G1A/NdVnykGExqa3noUFQg2Polb2YCcLlh/kgVCRv/mqB2w97mg+Q+2CtrBZn28EF3pql6Vdaqq+ZmrtTKWy/deXrnaKOr631qFIMO2v3n7uVZBbsPgAfOnXrk0AbJM4w6zQAxBdcq8qqLR1F8+f1/zVrUWNL73tgrv/331XGA9k1RBDhdB6VLTIfRXzhFyiZBJmp2HBQgT90m0WYAumtGUS7drK6t9txnZNney3U+FgTShBazba68pcA6sr+WLn2/fI742/rtun/a7Xtn63tid1pMd2hzml69WpfVEVldf2GaaJ9o7wDUWm318dQ1Ov4yC0gdWIAavNKwIfk3SADGvIJABYmO7XvSYuq01Bd6X1U+3Y5F1bFMFuAllBeQ2a8X/u0mUVVcmj1U+yBoytf0qVOCEwMf4xJnzZUu1+Zfm0ykq4+J5m/VO0dTm7Zs2vdi8lxUwafvdfbwBOg1UrFatWASYIpYu4WzCV30qnPCQ0xpKVPMxC4NTt+s2UtFvfePXm9Dj1v4dVKho68o4h2c1r1/a+aPeSysCHwHHSROCgABZ6trisUEZXDhyq29CxoKucYn7AxO+RIwEjWy835X/8h5iW3+2e23iNB8NaQwyVc7mFKemBrD33Jgo/nsUxPGqJH15NXHGGuFG214hOHAmqx8V3dzn6m+bnW7OTgqp+qx124vOGikEKJuwarBFbJXlLUBoX2vtWzD17CrSEs7QijK2DspkKc5A7YH6Yv+3j45olFLZVCRdGMjjH1b8tPVCooIVe6uWNiq4ojEmRRRLDSgqmKYO6Tk0JWKA1UCkCuTQqm5RKvpQrmypjcmySl68cF8st4AMFRIrYlcAFSw2W0ezPw+CtVJ5H1LVACOOVNLOtkgnje3grzit1Xv6QjRGRZwqolevZaUmw6rI7D3VNT72+EEAV3xfRVZh1f313G3CTJuXVz+rmmJ0YeU6j3zOnBzAc0Ve7E/2MIuNJyLIU3rePwfM+nPjedH3GVPStffWfY7HBQGIXUHpbIwf0Pw+4PZqMVK8trfSy1o9NluVakwE2wY+OzedCudfq51tUUnpjsprd9stApkCpkvHfn0fifgHvP7gJHeaJkybytbj4yNvdlpQ73aoNog8PNvveILnRmRUW40R6cT5bWWMKD1vjnRjbRWq9BiRpYeL9KgCc+0hVcjlr0RPO2+zEVhleDWixZC9hkyZgyqdIA/sBa699wWYoIALd+gaOAQfLm5ocpgLsDg6X65EdHQ3oBxGM4QXVhy5k2RzmDcq45JblVAj+5xceTk+MWDwYPdKCGbwvhsGyg3pbz0mhuZeFLUzVF8ShRvgtIu1SqKJVVqXB6/JnOnka8hgKF0oQBNtk4Qs0NCx+rVjH4rMlQqIKaBGF9+yHpsQAKuoOGXKRwGUMaH2AfFSKALhfHCr9kphL5dcZtLN9sPVoclRIhu1aw+Ci3ItJg+A+LfTs0svWELBki9YYkVJL57fRvRLvDqTIlrgbwqtTZFxypv7E6Rg3ghAOpFS1n0MKBeiycvADYxMdK6zQyOdjXoGC+gr2gw7jgAwIZQgUFGgZ5Ditgyg0UO8g4C0VlZ6m71Zj7UWANDVTq1CyfE38waQIfNAx7715nLcyMJARwK21MOrOdDWb4hSIcuG3bClJ/rLKguo3v9IP1JsHMRyl+hHfs/LQYAwM0jIu4BlH4yxgPVvL9IF9oLUBw9E6Uu6U0U68QbK3vusONZL9x1kx9O09dWb4EmzmVrRRLUyHZJ6b5zvB7choLV0aK6k3tY1aZJi8Zr1KmJIKAerlBdWOuK5mAhNYAAege4ojZ5dS0Z4f0LOE/KG9xPfPSCICZd0iRV09+WelHgQJZYE9HzO1ZVQnQVigVg6K/r3tPMyRsxjb8AVfW9nojvxgua/fRRSOmlTyYcw8SULhYZNwQ76bRVpB7K/vyYB9l2zBY4PecGBVOvj3zy7Oia46i+WAh8JJqr0/cBadQcMMV3HKmGCRQGsdEmu5ix9A1rFZa7rOeD2KlSKdjGp+dWANocdaBoJYv4MEOjI+45zhWTOnV1uIkpvAiOmR9MCGnF9AiAUQR62ApAMplvvojObokBsFngL1N0PHNiX2IAXWwsNDtTw3GujslwAy+8pdhRWU4VsKtc10p4omBco2mNMBdHaRIcAIDpbKZPOJwrUnBG/PaOcnpDn8/rIu4jwfEF44BlBpk9Cvdu1yluYC2IM0MRnVIbIYGxnIkpLxeEb9ojXjgFx9yGinALO+w6XvSt3gX2NlwBZAoZ3Af0TbcYr5i7oki7a2gtaAG7PrPZoVP04K2ofkO9Gq+6wtzJe1gKCPzsHmfNXr5B3CemY0b07QruI5SahDoL+ISPMBfmmw/S6a8rIshT63MJRVOHpwir9vr+K4cJUqINRCtBZq9DxgjDn9WyOAr3bodr3llEgNa3ApJ2VZWCv80qPlGaXHsu1yq/9nUfhSJiElpCVnpW0MrpSNigkZIzBuJkJ60weSEDeJ0BNeagF/7ZHfVSSGsNEgWqK7E5pL7uE5fbW9jPfvxjzIJ0r0vMCKFBuB4Rc0f/2ETIvKK9uMP/gztadlfXuWBAnq2onXvP4O8YrPJsU/UcgvctI381YZEYJqz/vHgQ4WMJYef9xAsb3LBZc3gjynknl7c8dZKDNdc/W2mMxns+MzXvFF6+f8GevvsW/fv85vnl/h3JKkATkvqK8ypCuAo8dum9WEaxyDviL7jP2rffA04/XM1sFRl8WDB+VYnJJUFMPTYrss2XPAaGQcpvvC2qfML4zRqHNmvVNl86CdKINTa8E0300dWV+dnq252sgQ3cE4kUx3wq+/ffHtv/i2WMwAsehEZ+uY+H5XrDcUbV6fkMbSUchQ2YAjj9i5TbfVhYr7LvLEDDPJjh1pA2fPyNYnveKMpg69qP/GxPscFhIV3414/knPcLEyrYKMH1egEOGzsGACioyYxGUX+9wTCMkKS6fZ4RLwPAhIJ2Aw9cF6VSx3HQ41QP6owGjaqwq80NlYJ4gpp4cz1yO05eK5dbOEjvfXRshnbAyD3bABEH8vOMez0B6EtSLaVn0istX5hQXClSl54D0u13r4y5rOvo3vv7gJPef/tN/in/yT/7J93+QKa9fLLFpr5codRRosB4GS1Tybp3tx74GgVYCwnEC6sW9PNaSfAXRokyRhv5Jm8KhFJsLVkyZsJeGODiaAMAkxtfrE0MJyVHnwdnQW6AJeOgoVApURTCqGzJpnJhJI9abkeOIFK2/q6lOS2TfiyVc6xgXoI3UqUbrchVqgJ9dwprgbnoOXTm3VZqCtADCkWhSiit8LEI1rr6PbnKV3tJxg+Udg8d8oABMvGwRTQuErCdDrDekCpjUKCsGnFu2QE7zlS1QzTOsBetNdb8OETWSTlIGW+fJqoKyCllprQQFTL26ymjVahPYyJXiR8B1349XuAzscApeWIziGAO+/lf/DL/5r//z378JggkD1brSbj1w9XvZ2L4sRgM21aKQKDBQOzplBNLsaZ9kLUimiEQodHhS0BzsFYpmASmDus3aQlq1t6HfrSJrb/a198Ql0v48yP+eunAUa0tQyGwX4QmWqfBy7yZIYJILt20HAH4f0yHaiJUF33+99B9bUAhgQjFEBnomjNCYB7oGFx6lxKDQhWImeScNcaSdm/Kg/boaZZYD4Q1M8MRKzK9UNSr0hqKaK2K2E7Ah9973xr2/TQxgyuZtzFhRqyrR1moXuAzBADqfeezVsw0dugwREB7SnvwGt3djXoRl7ev7xZ//M/zqX3/fzvV4gpqsrhz2gPXStwR3g+bSNjaK597rab4IsCpaZpDgaHjxw28WBvqmzhgvBCO8YkDRQLt3NTtVNGEiUuoNPHFTE3+v7YEUUIPNkbXe1G0fNgAGlM6IcfZLR0E+9xHN7yoIQgHX4ERAAxghoAYCCEbWFBBCXX3+Vs38ZfXFzwxrx6hdQNlFAxItITQwIQhY1ZRVR0GKIlaeiaVn8L/cOGDJvc+EV23Guau1C3RRU9DkIjZxnu16y+ZaN1ta+8TxS54EWMuAJy4EBypnRLu4kQhRN/dVRlsOMynjteMoOgdu1KpsPIMMvLL++BA4ssbXiWCg4hd//s/wy//2n33PzimQtwDny/oMbRyNpkCQtPAMDlbh1CQtyVZhkts9ZWhMpNwGD2qBBQEV7O+TJRBctIpEdwT6B22JA4BV9GXmnnG64zaha3R9O7Prpv+WQkYVwWMBoO1BRqaC5Sbh/CZhGATpKVk/qqwAoalJLztB6AT9EHlUiF3bJQPvP0KGgX6hW1kxLlTY/JoIR3bNC7AboKFvAna1C6y2GnOsKYObjZVu9c3bnlroygRoirSmL1AGwXLPeCU9B8aPnakDm1+QQj8UFsY5mmjv6WLrHGxO92DjrMzG3XYb2Aq0WIS2u+nDL4oyRiw31u5yJpU2j2wFiNMmFhsiahDE5xPqh4+Quz2Wm0RBtcwzNE4Fkm20ZE8Qp3/CVc9jugC//X/9M/zmX37fn6cLUG54vsXJFI1nAo8hK06fJywHJinje17XfMDae6mcmzvfws5MoI6KN7sTPhue8K/0C5Rjomp4UNRBsX99xtgv+PD0GunJzoRI+18+9iipIiQl7TqzQNLOgYXxTn+sWJ4D8o23qMi6T6oANxXpdkGeGCtK9ZFVbi+62kYPTJ9YZTMKkvV9xnndWw6EewX59Dk/y+fcBvONnCxipmrnTv/MKTG1C8h7AXqgjgaEfEhIZ3Am7I2i3ma8evuMqoLjcURdAquSRYDHiHTkNS03tN26q0Bf2Zu7BGgHLHcF6BR9T8G+bsxYXgnyFJhjBUX/9oTXtyd8+/4O9X2/VkOLF0wEl08r5H6Blg7xAqQj0D8WpOcFw8eEvGMcuo4PY8zcqsQR0Mj8oHviYZAPivDphHKOpJbbRIq6wMYoMe6tnUKKYL6RtpbRipdaeD6Nry4AgHlKqHNE/C5i/NYBVHA87R/w+oOT3H/8j/8x/tE/+kftvx8fH/GjH/0I6BL7LE9CJ+iHtvcmFqL83vfUkrLwQjxEBBrVHKZJaV9e0GaB9pD40ND6z6LdcI0AEiu13gTeFnEy9LsQfdEAC1ht8wQAEiCdCQBkvr+OCY0qVbTNTEMI0IH9azDhEoSwoqhtBt8ayKqEtgat96MoMPaQxMCq9aa6smwuLaHgzTj9xRLpBcAQUVNs9OSaBNkqVsst31d6Uki2QWqwdcwdeyJqD8z3FdoptK9AVNRjasGFCx+IivWJKqpPvHAajL00UdkTQTgmQPxAAMqYbPA9e3k1CPJGCKhJxQ8R2gdIZ+s62XggH+fktL1CRVVRbeuu0Z6PgQLsCTXxEgcFPB4P7FX70d/+h/jT1/8Jhl99RFnO+L/84n+3PoNaV3j9JXXUaZCbnuo1gKUoUjWRCwgPGSmspBerGNYzK7fxzKDfUec4wRTCZbMPtg6ddqrGroEDOA1f8ANiTfBrRxERcXtW5TpBWoXKR2FJUc6UVmXfoDQyIa/F79MT3nFYaXEvbdbXbUvl3FQG/fcaBdrf68rCux5l1zXBEPawyUo5xyYJ8+erzkgQzLeC6ZWBOXtF7YHl0wVpn1HmCJ0C8sKDMywmZrPAgsyEOGvrya09eVYrPY32ToET62/u1srhSglycGVNUrlWK32K1brQwLJWQXVWgiqFT0JoKqVuc9sRIKLcEyEIikaoCUT99Ef/S/zZ+B8g/Oy3WJYz/m/P/xmvbb8Dbu5Zwd0m5LlYv1dqTBL2q1mFupJ6RBqXzxTlQxBFAyhFN9Q38xdxRhv3EC+21kYzdBthFUEaWu8qjv75TXBIBAJtczJDNtAyCcqhv9qX3ofoo6co0pc2lWhbS+s/xKWVCfjzCj6/aHvG9oI6jbdWYFFEU0+9ejn7x9kfBiY4YFJ2HX1f8LYeJiNNFGQgCBNnfi8DXkGw4DqPZCjkg3B0w6jQoUC6ComKGCuWS4JGjujAB0GCtBE0TWkXQB2pth4K1xJAuy6ZTIG9TxAbD+TibnmXmHTOVBEVAzL5S1yrcC5rlTYFoIsot6YO6wlbYDJcLUlagSwCTZx2YNTQ4H15TJ5++Pf+If70zX+M7hffYpnP+L9+97/n8o8JVbpVa8EAjvT+yH287zmT3c9pQRsn7mwBB1AAIJ7VRi4JdCZIVp9lpTlWB2zYi7ZtGWgtMjA20Sgt+G4+v4FGAMLap1sGqkIPD9S6qB0ZXD6yERXIeyqM511odH4HfNwf1Y4TDKQoxvelVRNRFdWYVSo7pO7z1gLT9pL7pJyBlJrKfmOXdZHPDe6PlaNcJn5GvuksgfKqof37jqJDBMTQ3u9JU6O5Bvb4efBfDlY4GCriLiNPEfWhQ7BKGYHA61gFQKsGovJatiJT/sq3g435sfNMFWrOxxlbUEX/McNHT9UgrerrRQyNAaULkASEH3wC+eQO+c7GHG19RQUCKnUKAOuZdP/H8yLOih/+3X+In/zgf47+44wyn/Ff/H/+NwA4PqabmWD4eZhH4OlHVMtfbplQlFGaX7m8pf0REOD6Dx+B+Q4on3Im77/6xZf41/ELrtvNgnJOwJkiaqd3e5yCYvd1xP5rRT4wtuTzM6BqUORGqGFC2j3x+Z/fsupahrW6W62SGzLP4+5DQDnv0J/IRFwOavGusdsWrpGDIXkH+LSV7llxeSO4fMJ92D/Ql14+lTafvX+0M9QAuOk1bTIdqdhcBl6nCrAcCR5c3gLT2wKZBePXLHTVXjGNBhpkgZwiPn53AwSFRAWCIjxHdI+sXp6/qMawEaRzwEwTACLYN7sIxm8Yj09dxX6cMT/36H7HimjZV2hUlI8jvn4cgByMYWej1CrzAAgw/i4A340Wj/PM/finHeLcYb61PTgC5TUT/PE7gSzr/oOs7Dy2BynGbwPyaUR9VZE+vWB57jG876zSDdRPYCwh030I/N7lRlGNoi1WBZ4nY5seE1AEeaescBtVuU4vztS/5vUHJ7nDMGAYhu/9u/YJMhVKrjdVVR8Sr60fVfuEsrevs18jpVV5p6gUhDFEenzHzeBN6bVbm+bj2ZAVS0LDzPlXmoDpNnKW1X5FG1yopHs2I/lYkc4VyyEStdwgM7WzALyiJV/ee+iz87yqoVHo1AGQmwh4RUfmDDlN/N2hJ7KfUgte/SCKYkFvlCYEhHnhuKA9A5/wfGEVR0MLwFwhzscsFKOwtbl+UbDsWXVy1TdNaNQDd17dUY36JJjvKXce317Q9RkhKEQUx7RDrh158mMFqkCyBWBFDBmygBDaekZqFMhAdD/MrGqWgUj5fJ+wHLiRh490vj4gPl4qoqHnZTRPuAMPj4cZcq6rWIy9WL2dm7gLrTuimvhTS8SqIlyKVWvMNhmW0jmGgD4ndCUQoHE731B0ASbQRKUssOvSaushrBUbpyfa9zlq3p2sXzGy59aDjziRndASWLitey8717apcXrfkie5YSO6okAQe18gwN56ZixIiZdCxUugBdi1YyAZYNWMWonKmy2TDr3pxXMafYxABwalNhLHR2s56IWeM5TbbFhgXUPvm9vO6/Hk2Gi/Zdeh7JOxN1hFyONmzhtsHeIaKAJAmekDpleC6RMi/uWuQIaCn/7gHX56+x6/eH6Nrx9usSwRy6HjEPqPCfFCv5B3gu6ZARpAmhGrp1ZpSrKOnXIwYbCWjLCi0V556Z4zwtlGLcECWg6IJtUzCuKWHePCPZ7P9gll14FietZSYTYtTp0WgRZplS0N0mjW8QzOitxsGd2NyG9vMd916J4WpI8XJjEzx0VhycwxdgNUerTeY1W2FiwFZd9DxtiCPwBWwUCjgG8RdM7C5eiU7uRiJIJtr7lXJqECm07Mao9/hiddZd0PIkw+QqlMkHbBRpzUlhShKGn6pUBjopDOBkwiPV4gJa97oO/W6rpqS3CZASkEa+Is1QDKwP3hz8H3hM4zZLR2ixj5/ZYMlibiCIKNHWmc033AcmPBwuy247YvPCOs0rPcKPSzCbv9jNeHM276CUEUQRQfLjt8ne6xnBPi1DXaWchrwoggWA7JqlDVElY7uzNoF5cJMvaQPhodnAlr3lt1U4AwVZQ+WtVFkc5MmGNVhEsmkCwBNUWUXTSbIeVeYWB3IpWVoElhBddG0GAuiKeFdNcd5/HmXYSMHWK/Q0o7bDVDyo4ja4IzVEqhKOTv3nHNf/Ilqgsj2VnkEwoIZotVYgn6dWdFnQnCXCkCqzZAJ11W6r2DBC56FxbGO8teTNQRLZmpHX1bvKBVq8uIltBL5r6JJ9Lx8y5wfQ1YXt50Vklc7cJHgjnLrSZB2SWEuWL83WYAZSDgl/cReR8wv+4RFkX/cbpaTykKXRZISqg3Iz/fpzaItMpgMMXu9Ez6znLXYb4Ntr/XRAxCWuZ8zwqkGtPc+x6dUVJGXWcUv5qRUkHfZ3Sx4NAvuBsueHfe42u8gh4T5HcR8YIr1o8DofFC30DwNCCIkn69ccHLbcJ0F2wOOdFl3a1ghArHW/UfLqhDwuXtYAJp2kAin2jh7WTL7Q4a9i2p3rbBs03H9l4mQyPMTAbDwF77uChCjYhx5PzkTe95PijGj8DwQZH3q1rx+cu6CvhVij8te8FyIzh/zkRpeB8RzxzBNTzQ/+CG/r//ix26Z+D5Twvuf/iAJ4zQh0SQ/juOqDn8WnHzmwXntwnzrftIAIGAG3oBUkXsK8olQnKHkIHlhr+XzkYptveRpcd4fzyt4LOaMvLpy4q6r4jPodGUWywkbn/A8Fhx+SRg+TSzfeBjZJL7WYV8dgF+M+L2r3hm+4xZxsYV+19H7H/HUaXnzyu0r1ge+f7504zD2xOO3xxw+HM+g4e/w1FM4WyzeJcAPFv7yNsZoatIjwGHXyuOPwTi3z5iviTEP9+Rst0JlsTETm8L8Jhw+A3X4fJ5hLxRhKeEm5+TLn18w8JU+l2HdBLkA0EfKUD3RH/js3l33yp27ytObwMe/zaZPvMrgijpDITJ6NJfzNBzRP+Q1lYKFwJzzaMEIAt23zAve/8/FPzJZ+/ws/AG3XOHsAAPX1Tg9Yz4mwH7B57v7t+WO46Xio8RyajV+UygIJxYES77ivzKkIdOUc+/jwL4/dcfLzyVK6Tm64qEi8e0PlH7b0Pm1+C9AFWhoYcO3ASkGuFaGMMRz82B4NSGkEkVCAtlzX0oOCvEYoIDdmBEQYXNm+s2SmxbQMD/I1ilpv27JbvAGnhvXm0siyXITYHZqx5GFW5JqABNjTNX61UNPGydlrzpiXQKECogYoIOfi1WVaGAggVfUZpyXR3QDjhv+K4AJAILGFAuB9JQdCwYdzP6lFFtRmsaFyyv7HZiRc2k7baDK2sLfHyt174sG33TMRhwx87Din/nXWyBrAqgu9A+A1cOf60EtPEZtgZQRQym0umVri62IFVb1Hr9mQAoemYUMbgg2otKrXj/KLKh04lVMVfHvrKFF1/g9PTFnpusgkB5BzNQPh9WbXFllEJTNoqqXH2Hut21Eq+jbGhjFJzGDgCxd6aB7UOvnKq0pFwsKOcb7HR5KYwUA7RaEutMBafeVosfYlznaMo2kUOz6auqsCUJ2Pz3tvrbaKaezBp1j6IZK+vDA7kWMIH9epIJlLHfXCFjQTdk3PYTDnHGJ+ORNKK5x0cV5JnzPZvoiz9Oq5R6pcUR+3ZtAhsLgSb+41TD9ZkKUBNi3Bz+utp8G5NibAgCZ/bMfS911u6xSVIpdLK5zu3Lqv8UlwlAipC+p+rsxX6nEpBK57BhrGx8+ta2A9BEePx5mVaA6xukC1HXPBhAA9KU1nXQxiZxcMyFfLZgjui6D0jZXJ+3Uxu3oiqtArMRtGGrxMaOxDNkgYIshLZmfptBUAOTYxGh3bcK3wokbCeFwCplsH5eb7do1S/f3zG0udAyZUhS5NFm2rp/M3BEo6kjd66migb8ioGWq036nuDv9WPGfljw6e6I18MJU0mYa0Qfe7KXgqImNeESqxYprvrc6RNhc0BhrQ2RbCPr0aw7Kt+XwQWv/PwNiN6zHbnutbPKbh9XX233uxX3ac/DwN2wqSRDBLXazHc/dx1QtP0TZm0Uua3IYZgLxFopWBE232ezkOtLSruCYkeiCELaOs8LXx9ArH2H14eVamuAJYUdccW+aVoJrT/0+j3Q1RVvxYLa9Zm9cyZlbG0b273vZ3OcxWInbVRyH7UIeKxltlvtHFCbCjDV5u8AYwJZLBdmJkDh9T1jmKUgmKiVxkBarjGxWsznzKrK6rTbNX0ln3cZPSFXZKzrun0omoA6VGCo2O1mjF3GzTBhlxbs04x9mpFrwHdDQS6CvIsIN9677UG22GcJajW/EgGqTNgDHhkTLIdg0zpM4GzjDt3vliE0JkYeQ/NNwX6mIa1niqBR04OKtU0ZuL851vkF7LmPk005EEBM7Zq+k9f4kqmXTor+mcl76dHGxwRnMBZjCFgiSEGmNQnJO/7/MgB64XrUXpH3AlkEH98fgHNEd3H2jLWlDIrpdbLZzkyIys7o7VHt/AgwCRCUQ2W3htHS6wIav7Ky2Wj73boXtjYeFmNRLN6aszkPzdXnUXD+JJIhMAe2hs204XgSLM8dUhUst+t3OXvRixHzHWPmdALqHNu5FU4Rx2/3SA+xxXPt+gqavbU2hCmgFEEMXMuaFLpEqAqWWxae8k6hnQJDQb9fMAtwftvzvNwVpFiBTyY8/tmAOlSkw0IyQDIGZQVbzARY7mgY2fbVciOIC3V6uN/XPeYCVgIATwlx9lidIEkZaDMyrzYnm/WKF8FffvMpykOP0WKOsADlwrXJO/53Oll4MfO8CAufR+0BV+X2iQt6Cev5Pygw/WHp6x+d5IbzBZIDqSq7EfWwY4LjB8/QtyTMBZx8Xlt45KgZTa8x37Ont3+0QywBTrstwxr0hGIN4rMnt3TA6XlBHSLigRbJ31eUnu+noAE/c77j3+nCHrbG7daVxlI7wXyXsBWlArrroGaTtGtlZStc8kpT7pL1K3etctiqbpG7ThstkfctNTUKncykf6vRuLzigCqt37PuOo5F2SWUXURYFOmY4aOAllsL7Ic1AeW90rFTgU1R9hXhZsE4Znx1/4AxZry/7HFeOrx+c8bdcMGUEz5cdjhNPc4fO/aTFqLI/Mi1b5ZUDfYosJq+cb4bx55H0pS3wmB5R4OP1iPhgT9HEXQI8zrOoB1SCvTPHcJU7eBcuUhN3VDASkS+vt4wkZ4VvKd3KXAF1PYae2DK0OMMuTkAuwGtQvmSdvtyFudSICCVcxVsgVXe+9Z/DNC+42R02DYWhckOh5rbtfsh1xKa9e9iCYUMfM5r/5qgpsi+nudqQ8YDAKu2T0TZQzG6vPcmWs/t9p402gzMTXLrVbAQwB4d69OjXdMfhDOrfZoCWSBqPdYVtG2vmPszazRwJtOiBLRqx0pXHqQpEOYDaUQIm4PNTc4OXu3YN6RjwetXR9yNE77cPeCL4QE/2X2H8XXGL6Y3+C/Cn+LpPOJ4SuznFEvCwPUNdrABbtuh2bBG4SiPtD6naj3v28MvHMKajFmAkS7cP+lMQKR0AWoVlu5xok+zSlU1Gn6QahX6jdiMUQQZMJtvMtsp+4TcBcjSI93dQHICHn2dMsKHZ/QPgQldF6GIwMDPcd0ABzdQK+KR/e9136MOHVx0LmWKc2kUTK9So9pBfY9qA7qwSWBC1qt1aaBCRaMt+75nEGbP2hxMnBS7d/YsBKjeNxwYuLoaJJNeEFBMaEE5sAKwZezY76yKcE4U67kfUPrA6or184bWmsI9Ww6bETcmpOTgrVwWUtBtVqvkAnl4omDP/Yiyiy2xXZk4gssbq7jcKfLBko6oCHNA/yE08SKAe2G5rdBDwVf3T/h094z/wd1v8MP+PX41v8Evzm9wyj1CqCiRwijZdClCcYDMkyCes656646Gz+gGkiuW245aCn69Bj4xoJFV1MrFelI06maPsHS0UUvGfPbr2udM1kZYKuKZvTHLTYImQbSE1iuuNYXW9hLminBWih92CdtwJx0XSE92CHKFnC70M/e3TNr79Xe9B9hHB7VxSGMkAGIgfFBpQWwZYACUNurkcke/nE6k5Vdj5pCOS2E88TYVYyVcBct2BpaegWZYrDpjI0n0PtkIKDSWG/e0Ii5sJ4inzCq3MaTSmZXKMsYGyPlzT08TJFd0TzPSSSxpI9i+3LLKEqeKbirI+4T5zz5Bd8zof/6O56KNhMuf3iIfImSqiO+P9BX3e5QhIswVCcCyj7h8IqgDhWu00xbkFuuhbGJ1lXaKSnpmuF0w7Bb8rTfv8Ho44avxI94kfk+B4JfdG3y87PA0DDhfIvJNQP9RMLyngmvZufhoQJrWZEoHabNO805eKJTTObHvFq0FhedDRB4H7tnXDMyHjxXpDGNjJIS8iZuigUGe1faCfAjGzuKZ0T8VpGNBep4Rv3vkCL+vXpGt4K7SBbw22VX3JDh8U7D/1RF5d4v5njaUjgR902VNdD0RGb6jrywGlF0ONle1KvpvIyubbwrQVfTfdBh//n2GJ0CK7/kLQfcE7H7nn8F5xj6rlSPyIupQMXx+QowV52OPOkWUpWOlemYlGgJcPmECCDiD0PxKJu24nlipT2dPKD1+4v1dPlWcvuJa9e9ZXR0e6OPKbwOWpw7LreL402wgWeA6HQOFkQbg8U/Iqtj/ls9/vmVSdvilzZS1GIzMI12nwJwNpNwzHouPRsftgdMXijoq6nNH1s5PLtZaRDDi/v6Ev/PJt3heBvzs9RuUEvD5zQk3/Yz/+N/5Gf4n/9Ff4VfzG/yfv/07eHc64N2HAWVWq+AGlEHx/KcZiOu+yvuI6Y2dmdaf7KrQZVTkgyI9C27/ks98ueXZs9xV6K6gniK6EhoTTIPNMU7A+B2QfrGD6/3UyOtw8GH6pKJ7DNh9xzN6fhJIiegeBekI+ph7MaE+sRFaiu6kWHaC+U6Ql4A/5PXHV3JfBvj+8uqLV8RUr6s0liAyqPXPQkOMWaFCQ+VVeIh4ABR8RFBZkV3vo3I1PkeiNAG1lcOwInUJCNbvowGGIOmKWCovqo0fsf4s3h9IS/MqitjvyCqU5CqwasGoj+pp6+OIqwU/gCdkimA4IirYqydC1L2NOdqs+6Y64QIZ/E67z05XBLkF53afJs6AqJY0KfpYMKYFQ8qoKrjpJ3wyHHGMPZ6XHjHUtWK2qaiyKk5BKhcT8UC0uAz5JinbIl3Ma/hDVwIF1ucZChh02uf4Wvpni+oVvU83kvft+bww0fXL+dmIG7t12qz/SghcPK3r2vv6X32Wfv//t+QXbQ9IqYAEo5+t7/GeIL8POiWBI5F+P633z9dUVofuMxeb5L/thyoKSXyDV1Q0+PxK26c+Hsurw/5vV9UvANF/Za1SNbGzGCwhWed5KizZnoXL6EI+EKCIjUHZsEFwbd+tRWCzb+pmH7tsf93VdU22j8VYBxptvaOiTwVDzBhCRicFt+GCV/GEpzJiTBmXWGxddb1vCzqrBTiy6YFtSW9cxTJaj23yERfYMBD0qjodilV2AlAXAeCsBz6falVxirdsM3jzV6JXfsT9bmMWXFVh13W9eomJq5QKFWsHCIBiFc7Sjdr51Rr7d4r9zCtkCDbGxdBfB10yF02sgrFlQFz3y/k9bHyc27n7kbAxmSKoURt7R4t+/z4Ba2PY3Eer4r68LzRhLQfXGiXYnk1jjGz+wKnDsn6fU5evWU+1Xd8VQ8UfW9io3feskOhYuS8DUANQe8HW6KsJ60jinNY+FNxG2vdD3OOQJuzTjBDZo6txHcXia1ojEGBVF5W259zGKow+nARlDKaDYW1CtjZeQdeoa5XHwWFZ1bBRxRg1qx34md6qk/H3PcOVDdV63mleFvxu/PXWBrzFQmDVbKviRzKq2jklArGi2hWzR2kvDkSuvpa25gl9KOv1tDPz951Dtoe9bxP2+9vqqe8rjXw2Drq1ddCVBefr194HNP2FKgIMFpMpGvPppdMkA2/DDJHv2ybXEi0GudJdANrar73F/N7tGrRRkhab1bECXeXomWoJbkfaLqbQeqOl0sZjVHSp4KYjI+dNOuJNesasCYtG7OKCMWXMXcRpqCh5ZRU4iEz/al0mBiY0arex4pwdcaUTozARSFn3RadNJ8LFoZx5Ur1lDM6g0vY9qnyGXK+NvW1iGABklElZiy8Opisa0NmeoRiDYOwIhCTbY1maMBM1ErTdT5zX/d9ii6TAIojZrlEA+J6e0M5F/9vj7jIoiyEexxnFOBqLQJ2REwUiihjoj8TGyLQ9qr4HAYS/5vvsvx10AtBYAQ24MIXo8Hs2YZzU2h3W+242armI72MI2oSLsKMNxYkAVhkEeQ8bR8gqJVkmdu12PcLwAmW0+dmCNdYThYRqZyNHke0iUcw3hxOWGjDEwvg8TvhR9w6X2iGFyvh8KCg7r4LaTQyFwrfZ4rNeORLURKH8DNZInVsKmEoD22okMKFDRdwVlCIokxVoXpyvLiBWOmAZ7Tl4WOfPzIHQrXkrVmaXFSb8eXKMEscAlou0Nrt/2+uPT3JFoPc3pCXOGXJhHypShPeGYSqsRAJw1VCkAKkjYCMqnA5Trdrhlb/uVNEfYcgwg8l0cXEM3mTeBUz3A/sqZqfISVvIUh2pwxVViBVbbrDS8ZBlQzSRz+hiSZaIej+QDyT3niAVoA5pDYL23RoYBTERFlIcnH7dxD3A3tzqyao5tzBXdEuBoDYKrnaRfbrWQwRZKdCSFdH6mo9f9sgjFfHKXkl5GBRiM8+uHl8RxJOgLgKdAs43AefXHfZpxp/dfYtDnNBJQRcKfnN5hV/U1yg1QLuKMgr7ADbZqhRgeGAVNu+I6rcKsqyOM+9ZlUhnU5qMa6+AIz/YgUiWIXlBrf9y0PXgBz9PYdTsLhp9Zw00mEB4hVlbguiHG+nM7OEqu4guCvrTDN3yQEMAhtgoi1hsPFC39mK3zS7CIMrHSh1GPjufGymCaki69wGVce3Xbaiwz9KttdH3Gx1JAYE22y2Dj8Jh9V6T2bmi0ZHCYgGGAwMFrMaaKJNX/cLCfrcmrBNAdWV8P9B0Vsaqjs37k1g3yP8acHVBECajJkbhHsqVTIho1cilQOeFa77pc0bkui0Hjp/IIysaeQ8UGykQ72ZoFfahVgFmO1GC8pAMCiRF6Cp8BuguLriPJ4xhQZCKLmTs0oJz1zXwpwX+iaIvwYW/qkCiiyF5grBWsxxQawffJhDPZqMcrq6oAiw7Usd93/C5MbEtu2vkMsxWKRVWZ4k8lzXw8URzAwR6IscxXAV6PEPzZrTKfgdVE9Hbrn0vdJsptCAqnNkDWcduTZo90PZkz5WAF2222IBMp6I9F0jFRlWdC8Qe0cK1GgIwrAdeCT5KYfUBwfquNbH3OmRBnwRxDlyrhX1tYeJnah+Qh4h4yRRNBK5p9ZF+NZ0p4FNuhjXI9zxfBHWfsNx17Tp8Xwcb57NVyNVIBsOWgq9dguwGE1MjayBkbZTgvCOQshyIrssXF3z+6hmlBpQquMwdzmEHWYLtWYF2lXaeGDimUOjHJeMH3QfcxxPu0gW/Pd7hsRvx/Jwgy9qCsg30p1tTdy6r0IhUAAkoPUVQ5hsyKlq/ZFgDG/dbTstt4yQyoCEg+JQRY1LFyXy0bGKBCBPOs/FdiwJGuy1jXP0XgHjKiC+YJ60Pum2egDpQUKnuEuRmoH08nlllD6MJffEZSVXk2rWKsVTFfBtxeUMl3/6Js001BFQohkc+wxpd3FJQL/TXbWxQBsLEfeHUZ47cYO/k9Mp9LFYb2gCbpKMThJDq/kLbZy73XfNFGim45PbrfcbUCbDK7Z9UGasAAQAASURBVKkgzBXxvFA34/Ww9tVGB+8E6VKx++YCWQry3YDlJiFdCrrHGSqC+avXmzUH8m1nmgYR8vbGGFkruwpgi073DN7k5xXdYWGhA8C4m/HJ4YRLTvj23S3qHPkoVRDGjH5YsOsX7OKCQ5pwY2DOYxkx1QPGsOCz/RPGtGBaEi5jj3kZqfZaaG8AMN1zT3bPrBj5M2oBI9b4UYFWOMh7NAYgFMY+dLsDXPjQ2w0c7CwLN8eyY0ECdp6kiUJikvlMpFSUXULeR6gMkOUWasJe/tk+nqj75hGyrP58fqP45ssA6A51oFpvOAdEm0UuGQ2A9JnW8aJmd77vTAQ2wEBiID3ExnqZX612SxosE8lG8Y3A+dPQkkwpwOE31GCY7wTTa0G+RJy7Pc5dhXQVoasUxBoM2DPBVE08F2pnolmJSaJGoNywl3j8OiEd2U97/rKweGHgWvfIKv5yp5g+z5BLRPcc0B0tFn2uCDnAaeqSVwBLI9dsfHbFZT7f4b02poFrd7jQ1u5bUnAvn7DnVw0cQAXiievXf3XEP/jit/jF42t8+809MAfIr3bQCuS3C4bbCXOO+M3xHjFUvBrPqCr4cNnh8TLgn9c/xZ8/folz7vD10y0UwE9+/B2GmPHf/vwLxJ/1vIc5EDjIoZ3FANA9C+5+5irgBFRPnwfM91zXy1tb35FaJnefPeNPXr/Hx2mHd8c9jg87dE8Dumf2+YaFY5iOPxB7TmyHqWMFoiI+RfSPATUqHv6MybQXejo4Y1HQPfI6nYELAMXG0r0sYvxNrz86yWWfZULdJURVhBMl+bXvrOeDFEQJwWiEq6P1MQJENbT1KTQ0XKwH4ULKWxlpFD7DjR/CDb4Y9W+4rFQ3T4pXlJXOqbF/ZHVUEoFa137McNUX5P/PAr0qjXaFar1aXtXsY6vuUERrPfhZzdm81xKtq+TFKz1eWfNgtVSgJ/1ZRC2YlFYtkKpABnRHAYEykvpTE6iUnFhRaUxauz1ZLOlWgVagdBHZenHfdEd82X/EotEQ0RlVhQdMoMOpRhf1ZxEyUH225Wa0U+tdsQCIM+zcUaiBAOsBsEV7oqz/Vr3aqut9tATaEjsVjtcQBQegFzQhIBqG/f/A57n2E3C0QTx7UnWdVJDCnNZnAlxTml+8GCytdDtP7Bz4QFVEE+Kopkza7LWuwXFYTDwnsp+loZp27Y7sexWlDKv4CfvnhLYh7JXQpvDoaI+iqiAE68Hw6q1XKmHBuNsbNsmaWMAZpNFntY188SQHrV+8LHRcjcEQFLpBo3lq+55aEwH7MgZavbRxV9UGoNeOPbbDsKDWgJJD+xsFvB87YCQqQqD4DgAL/guCZS4RihQqUmCE0qjPXkFOCu+r5tYXElOsgrutpvtg+mKz5bYVed8XlM+3f25JG9cnTmgPuwWoVml3lWKNVPAEzA80MGd9b7P3TSWG6r8zNK88V/bjReOu2sYIBI8AsP9RrF0iF0BS66/bvpoAkvu1urIUWpXE9qYndGW0dgGAlX+4EAv9vWzYPS2469dzQIrZeWDwX02khD9TyEVbKwh9CXuaw+w+luh5WyfZiESJrMq+Zqae1FdTrm2VHQXHuZRNYtWq5tZ+sgHEnJHCXlzbki6qZFoVZN2wynW7n/DF4QlzjTgtPVKsmPYd6hzZs09XD5hwYBBF3DQP3sYzbuMZpzrgppsx54Rn87Xbe2g9hj3tUm2sVpu9ajbvNLW837x3UwkikGzzayOgVkGivcpmj8maROvqZ1oArvSTkmuzi5JiYzoEpy17O0p8YZebJJdtFtL8rqQADYWxQRPSc9/Nz2crjhAIBJNX9iuaXW3AgThXxLOJGCXeYyisgrn9hqJtukSbCas+55cANQDIsnkeQjsPeY1fWGVn8iE27oTnKe2J1WZ/vhs/IdKq7QSGdTMVIhnwurFPi83iIgjnhT7gjomwVEV4nqFjwnS/IyhiImXb9oKyT2vPtT8O25NhBsJI201dacKX97sLfnB4wHMe8PF51ybOqQpiVxAjq1dBKiIqRpkxyoKjkEYboDgkxi77gcnzZegJiG+ug2O26HNbRbz5mzXRba+wOYfdn1djViSsExKsGs1k1Py1qlGU0cY3tpnu2YoWU0V8nhHmjNofTPEZqLturYxXhUpoCaocz1dJbhkr9PMJ/W5BnRJwsvahcs2q8b0m2MRrYgxHZ9BEINv5xOogbaeMHEfmcVodWPFjryv/jdojaGBA/6wYv1sg2rWJH/EYUAfhGZ2YsGoiOK0muO79rxoVJfDsL3v+Hg4ZIVU7q4xWfpcJuE8RmgPC+4Duif4q3mSUAJvyQXX/7lyRB0E6Wnxi/qh4r+lkokxNhwZINq7OwbhqFWynsndHziOuu9Kc6laX4tXNCf/hq5+jquC7726hGhqdPL8KCEGhKnheeowp46YjFf+7esCcE94dI96fdqg1YFkiUir4weEBP92/w8++ewOgRwt0C2gnZWW7xhkYP2RIUeR9ROkF811EvrFnvjcQJLGN4PX+jJ/evMP7fo8xLfhlFWgYALU1PFYsNxHLgdMr8m3hM+2NffQcESagHoD8OvPfJipz+5qHbL3hblMd2mjSFiP/ga8/PsndmyOZbV7uJ7etn1Ry4eGeKEBTx9QoOSpA2XUtEIpztT7NCERFMJ/iyrIlrlQp0oDYI1RtBNDwSGusG0Gpq7J4MkQgrgGWV1lc6IH0DQavFEuhWEJs6rMWtKUA7ALipG1ayxVlF9KEoLw67WIRTGTZN4NeUE1J7nsP5iJIp47Uwb1VCfzBRv6PHzqtF3ZRSLXKmR2GrLTZIX034+b2glIDjg8jEaM5QBZZRwb1Fd883OLjaYeqgsfdiHPpccw9LiXh0JP7cC43nJ+rDILixIqsVDrs0vEg7h89oDQDNtnwkIGaabzntxRnKDafN0xoKpTOGC4jqTZq9tIOhAXoJgb0a+LDIInCNwBEURDgYljez8jgCIgWQLnqajrbmKKNqJTkDO26Vt1qLxM10RivKL0qCTB17Dqwf8xHqwBo1a5a0WigcV6p+1fzPA208X41DUA5rOOi/CDm2CVWsKroSquq/HcNRFldhh8IlkCjiWKIoilah6ms4kO+372yYUIvmgQlWvKegiG5qSW2HmAxyVXUGBFyXIMqd1plFTrhSJWuJdmongxTdbueWTGZ7Tm4IESpghgr+lSQdhW5BDzLiFqECUAWwCq8JShOU4+qgl+cX2OqCfs4Y5CMh7JDHzJ23ULUNYBIpN2LVKAWoDutwafaXic9U1YfI+t7/MBXB3JAv0PfZM/Re/MtYHIHv51pbUgEio1+8AoOwYNo+6K2Na4tcTFwcNkkYF0P2fIeASa6XdzQJP1vMla4HyJ89IsnhG0uagDaiDR/xkHJ9A/OoLAKinJ2MQb2NqZTbWBCG7ehYr3q1wrjcWaSRIQZFpStQoWhUCqCwUdoFeW06eHEzPfk201f2eZetkJgfl8OxlZrXeGsUWl+jiAn513GS22jXLi44JpF+sHrRHcVDmwgbrAezJ4UbASg1oBz7ryhBTFUdH1GCYp8SXSaoo298OGyw1T43H7WfYJPuiM+7x7wzXKH49LjsqRGXwRWoHEViQOcVRBnbfbaQFk3j7Imt60PzoOjAOimj91HBpYezQ/7Xsqj3de86Uu1s670EVJjG/fiAmetOqgCY+6vlFibb66bcGd6u8NQBOmYm09DFOQ3B7tARXfM9NkOVm8wT45UwqoaXumfXXk9XgoZOgqEkX4nnV/40rjGKlvmme+P/qOJvdxwD3tQrcH6G6Ngtv5bAr3mg8KmnxNWFFDYXG9t5wUCUGIAArDYZIMwJ8TbztZamg/ftgZoDAg/vqVSsJ1Ryz6hpoN93zoZQRPP/HSqltRzDUof2ppqECz7gPmejBw5R5x1xO0nR3x5+4QuFlQIAhR3hwumPuF86VCWiDwnPE8Jl0uHv0hv8W1/g32cEUXxVEZcNOFD3uPffHyL09zh4XGPeokQ5TSJdCKoHbKi/7gyFcrgIkoUpCy9WAsVzB+wWrllvcbLqhyvwc6IAv6DKWlDyEIBTNBJKABUephgEvtVp1eJs1d79qKXwXvYgfmV6YE4gCi0vTIElM9eo+Yd8A2/Y/w6Yh56zCqQ9x0O3wRbfxsPY2yY4b1g/w3tanrN60pHKjfnHQEAKAWgtoDLfKcotxXpKaA7WcHERnV2zxyHyB5ctJgcAB5/GvD0w6H15yLwfWERZE3InSnqDoowC7oHvvHyeUXdF8SHhP4RFFW9peOK7zgOrUbg+Sc2I/lCTQmZOMVi/7Xi7ucLQunw/m0HyXyui81rLUNk0Ubox8qB8Wuc+GzKYJX7LG0snj+H4YEq1D7L16vayx336PibDnmvyG8yVNlDnC7A179+jf9T/AfoYsG/+9Pf4Gke8Mu7NyhzQL9fkFLBZe7w+LRDTAWn+w5DLBhTRn9Yz+6igqVQuOq/ef8W/993n2F+6tHtFGVQoK/AHHDzs4T+gUzLYmN7nn/QofTA848IrtW+QG2WLbJAh4q7L55wM05YasC/+N1PMC0J05JwPg7o9gShu6NQ4G7m/ZWdVeEBaDVK+kmw+1aRjwJoYgJ7W6FDxXxHI6k9kEf6re5REGcWxcoojf2J+Q/LdP/oJLfuOsQCyJxR9z3yoUOYCrpvZ6AUIHKeqXaRyrh2GAAg/SLZyJhzhnTBVPjWILDRkhUNrXJnWfqE0gnShbQOnwl7dWhackz1QUPTOm0JrtMqpFgj/lGgM9oMspDRDn8PMjVSuj11CmhaK7OG7nsVt/WjDmtgx2tC+x1KlEs7/H2sgAYg7SNCXmdOpnPh+BsLwkh/M/itAFKqVUVhiO96ACqAw+0F/6sf/Td4zDv8i/BjnE4DyomVGPQVaZehKjg/jDgL8ItUcCkdnucBx7lHnzI+2Z0QRPFdAeLZk3gKGAyPpDyc37DiOHyoGB4LBYJsVlgAK8ZhAYL1mc332gAJwA6LCQSgjPLGKu+aSHifqaiBEAo7lNfDOM6kTQMUDAAEISnChoLlI0cgHIESz0A8L6Qj101Qkgsl7/uO/+7CVpaEYQhtBA/AALjsUnPqKqC64cBkWzKIwiauhyhaMktDWBH0kIUzb0GknSM6NmAOrLo3AaR5Wh+ZrYV4kTgCeeDP0wmsLAiAeRPQwgMQIJ0C0tnGCFn1q9HMrHreKLqt54hVLVd2XisxXP/SSxNaSRMrGZJZeccEJs5RWDEvSnVapZCdFEDmig4Zte/a2rLPR7BUIIWKfb/gze6EyWDnaUm4lABdVuhd54DL3KGq4Lene5xyjzFmHNKEXCP6ULBLC5Nr4fWXjsX8ovQV3Umbr7rqtROs9ux70QAZjUDusVbR4RVJ8x/KIMJHBzm13JkKrTJjqHKehaIyVqVcWzoAoEKCCYEVhcx1ZQnYM5QUId57ay+n1kup1jsu67PuXBVV28xUByqdreD+LSyKNLHuElqSYiBJ1nU+9oE+O50KunNpCr1cmzXxS5MFZ4YsxgsgnYFjnVLIJ3E/xlmgLqRkYho1uj/gudJdZoSloBw6LPsNDdZAmVbJ9WQ7rD63JSZ+vriv72mLbH8BOh8btRkPUlNg3ujsCE9IjKHiZx6DSQbAtWeyCFGooiWtABBFMfQZJVWUJUBnUlok8l4fzyNOU4/T0qELn+CHNx9RbwTvlwNOc4dpSmxlsRJZTeY/2pgIs9/sY8/kikLm/i0YaLmyGRi8rsDyavNNBCw4gEdfXBODIoD01a3qcEkMdGjf0gT00nZ8VlUEBPjcY782Mm5W1s3lTUT/ThCPM7SLbbTd8oqZTPe0IB4XhGTzeyPH37WX8JnGSRoIjgqkqXBUzFzZ9hGAkCOkVvQPuSUstaPwy7ILrTetRmk9n2EB+o+KsvP59dpAZXiPsKlic4yfNEaUAy2+bnFGU1XmWlvrRmNpMMnMo/nmZQViIca66qVVI8sI5DEiFILY6VJR9gHzHcGH8T2B8Pk+IY+C4bGiO2U0HRbXb0hrb2zeA8s9q5vhFKCTIL2t+OntO8w14Zh7BKn47PCMpUT8ut7jvEToHCDniKVL+E28x8dxxBe7J9zECxloNeFpGfG7jzfIl45KsZPRKO8LVCKGD4wlxo8V6VIx3UfMN6tYmgONjZXmzDFvR0kbYLLI2ve5CPSM1j9MbRkxwT1jm0TSasugbZYtRDBbTMrzchVZrZ2gHAIIiuval61AHQKmz3bIed2Xh68VuA+YuojdtwGv/qJg2Qc8/i22P9S3M4bDjGW+Qf8XFfNtwPyKMWScBGLjlspI++uOvJdqIN3lU0V8PSHXASqx2Zsugu5RMTwqLq8CqcVRW0xy+bwAY23Ac5gonsdKbWiaAnXgOg4f6XdOf1Jw+9kznpc7yHsOk+tvZpQSMPxlj/4j8PQnivDDE3RKkIfO2gKYfN38ZsHuz3+L0n+Fp59Gi8+xObPMfzH/Qr4xLYlFEDMw7xXLq8ok92x0cVuLdBJ0TxndEeiPActO8PBnActtxfgtxwSdPxPkzypQYhvNNL3q8XN8ih/88D3+11/9C1xqh39+87fwcd7j42WH89LhdByB7wYsfcU7AMOQ8YO7R9wPpC7zT0BWAqB/9cu3CA8dJVZGjtgKfUGdA+7+u4Kbn59w+uEep08Zq5++oKDX3b/3Dj+6+4BfPr7G43HkLPVjguwz/tOv/go/GD7i//CLfw/ffXNHJ1SZBJeR/qh8AOqJ4MjwEVgKWxprQBtl2B0F++8yZ32XgLwHjreAjAX5XkwAD0BSyCwYPjBpnu8oqAgV7L5TYCWg/Y2vP74n15Q7UQFZCh98VVZiNLUxLnVIKFbFciqwKKDVgoU9k606yFXAzcZr6z/YJMiABT42Y7EFmJZstgBb0JLGNmYhCOomeOV7GPj5LNlo3yXFkdC1RyiPoKPeBCd+Va2CvKkYu5KwvxqNMbAK4AkwwIRG1SsWQsDOR75YL9u6AJsAKcJuGIYwWTCyGA14B8xzwi/Pr/G8DDifBpRLAubAuWtlVSuTTPrTZUk45w6XnHCeO0w5otSAaaEXqL1eVQBK7wEpq4oM6NbkZ9unxXsFYM60BUVY1wKKRslsa2cHb0sew4r8L3u0yj7pI4plF66enTMDgl+j21MUbwWkrQGtqsYv0vVv78ttz0CagngTjmkURGlI3xV1bpMgCqzS7XbgdFPvI99SrW1vxO36BkOHr/aAYDsuqdGXi1hPiyCPiqSrqq3Pcd0+AzUKswdFq3iatOtxNJ6qzmKVp03y59U3wGhca8tCDEBYAlQ5cmK7v7F9Bk5bDoLqCrgz4AqEAIAccJ56qApSqFjMVvMSoQsZC+vtBcxTQimCh25EVcEuLZgr6fqn3OO09NAlIBrQFRdsngk2/sjXAm2fr9UtXekI7RnQr4lRhwD6HFSvTtr7zYc0+qfvod6/x2mItG8x8R6pQAbHtkhR6AyIf3fVlriJgTi6tfNKDYCQ61ppVCrUIgTkBkSSStiSvuYL0fw3q9YBrRIqgLdtBMDmDNseUE+ejEWwAXx0Y25+/+5Tt39opWavFi+2qlVd790pyNoH1CBtxjg/XwlUOphjNNU1GV2T3Dyu4jJebV/9sxqYJ4hdYMIZjJZZQXq570/z8RAglAofw0UwjyNeNJmfjAHTpcdDKibUoihVsOSIYkCOZAEKE4DSKaZQURKfdYoV76c9fple4910IPJfg/nMbRV8pcM7OOvBPXxdi08xADBsWlOyuSkhgKfiydWmv81y+jYqB2ug6XuoDFa99pfZlkAbY6ImQR3C+nz9/bJeI4HngDYGDdT6oNIr1WnjVEh4sXF22gUUJIq89SvtF0DrL29gh/m8EAHRAK2kTmsKKN3q0/LBqWOrrcRFUas0AZYmuCZorR5hQaPqc8SSndFJqQoemCRqpDJpV5WJg7MoLB7hfkttT3kluUb6onS2/Wz7zXVRXLzHEz0ATVsEYMLrvlBUkHcJPguZFbDNyJuyuT+PlcQYWQ+Mv/KO9Mw5M0HNyvaprBHP84CpRMxTWun5oB1dngbMl4T/Kn2FX+1f4VV/wtv+GQ/LiJJ5BoRifnIGsAQmckY3nW8Cln3YqCdbcloU6SLUSN2cs+5fagAgCu0IrNWoVzbYKr/J4su48RkORnsF3/ZBAxxmRXQqjq7xAG3W2zzYpyhF0T0tkGWN/rPTfC22K4PFg9EAszlgkg6dcP526W1cT1x7If1sUgM8mk0JfdLy2CMsguXGz0S73MSpB1IV3SNZl/MrCkqJCnRhgiuZ/q4m7l8pjL+1CGqm3U+vrCgxFrYRwXySArUw2M8HbT5meeqBKhSwUlM3vgDTfUT8u1/g+HlkdVM85iMjzHV68o22dguxWLIMTOZ0V4ApQp7JmpOo7WxbbgwgsiKW5yClZ5/9cqvY310wTx0un+xZmBm4X89zh59Pn+JUe/zy+TUeLwMuc4dliahF+L0CLGeyGM77DvfDGZfS4bj02KUFX+0fkDXgu9cHPHcj6jEhnCOkCurE6vh0FxC/3OH8OmC+s15l64f/7ttbHC898mLnyRQRTwElRvxuukGQiil7W4zY2SCog01ReM1Z517YyDtwmkVSIFFUbDkoTm+t59l0kLr3AeXcrwU6BdQnYgTuEQKtfD6X14IybZOhv/71Rye5rswnqpDTjPB4BrqE/HqPahUn70lkAmKHp1EvYyYPfHkV4NUKWglvqvSxUfGc+uYBVToXo0AGQ9LXXlofQ+OU1kbZTMDiwcqg0KEyGNGAqu4UxEYTES3rjhmt1w0AXvdWVVzp0lcJAtZgiMITWGldAiwHm8Pl17Z5sQePfX/Vrr87ZchmLu6qWLhuJsa8oVG3awS6I39WRkG+A6Zjj3/59Zc04A8D0S2jYUgOm7lxRI5P9yOeuozn84DLiU7jKdO4BeTqd090Hqh0kqGoiYoYdXkIKDavsYmH2WFHqpdVbT1ZFTQqVTDK4fWaolXYxfp+p1cMBpYbBsBhYiWrduaUjOoJoSMLi6I7ArtzbgkX1auJcId5g0j4y6m0TqdNHqAHBgB9tAqrVd43ybgrcPL5oVFYff9ooB1VGxMUDKSIU10D4JY88Y3pVIzyH1vVtAxOsVwTMV+30jMgJQhl1I+B3qQpntpZulJfsfYKGy27WvDvFLb2bKJgsXFRPre0KUl64NR8Bqk+5cKqPYU/AkIfjJbnYkmbRMdAhDLE1ps/PFXkRdr8t3AJuDwMmPoO05JQq2A+d+zFOUb2I8P24qyopccSFe9LxPMwoEsF+2FGLhFnO1zkFLlPziZtb+vjLImQ9SqZdyratsocMilfLkbicyk9+aod/Y4rEro+Qd18VqMtb4IjyZ6QSBsDES/O3qDvoBAf9QpC5wIzGWGiVgLHN22AwylDpjOTrd2AehiAXBGeWZLQ21fIO36edNqqsxCs8xrbfl3Hg/nL20lqJ8DOZ2fyTChjwBIZbPcPdIxlCAYoSksm8v5a1KsmQHsmlXCWiPWMUWFXG0jhzwxVsezTuj8t0GcWASz70Bg2V9RXPzsCcHlNFNoPYVTYjGtbf39LDa3/UioQkldnqlXX16p4rYEu3sDTkNVEjQLmB4EsAYv0+DhFSKyIXWUcXQRaAuTEoCQUVi/KqFhEkfuKOSUEIXj5/rzHnCMu5x5lCYgu1JfNL2egO2s7a7hv10Dcq1zdkaDhdBc4y9SSXAePCWDwPGuqmVum1rKpAHeb5yrXwIH7/HQC6XNBjZki1gLBiqJWkKUAJq6rdkKAOtIDYP+bE+Rwg3LoEI8L4sMZMnaQm4TaBeQ9K7/LPiDvwsZfr2O+Sm/Jo9BupCpiZ7RUK7dy5BkrcKe3pObFaQVbu1NF6QR5H1oCS6E5abaVjsLzcU+qeFy4z2tnIoxJcfmUhjp+E1m5VTSG0zYRXySijT3cAFPdkUJpZRcw3XL8Wd6JMSBg57ONP9mATtMb2nr3BAwfzOcnjjK8+eUZ8eGMcr/DfN/T5h0wch9h19AdFff/nSIPFKzJN4rzqcdvjvcYIoUAp5zw7rjHNCUszz3E5mbyXA9I7yOk9Hj36xHfBUB/eMa/+9Vv8e35gHpOjbIqBUiTIEyki3YnrtHpC9IruycgHbl2ISuQOQKoRsFyu+k9N5E7mBJwMQGnrc8IBhg5QFC7tVrvFcQ8Wu+pBe21A8qBtuCMBcAAGzUtxKLoHmaEXHHpRtR9QPxY0P3yHWQjJDi94hnvVeLLq2Aztq1a+8gsWwPw/EPSQof3fManL1k5CxOFpwAg36DFrRRyEnSPCflGcfkBq/Xj7xLCZPO8e0H/pLj/WcF8CJhfAXVUasFMET6yTEGqOpRjj3ykDdvYFKefZKCvuLm9oE+F4Lb5mjzTF86fFCyvBPEpYPyVUYM/YSWlfwC6Z8XTjwPe/4OeI4zuOSZIe7YypSNto4zA/OVCoOjIObhlp4yZXmUc3pxxehwRfztYQYnnRI3A6fPY+svZ9sG9ttxVLLeC+vmE/+jLX+NSEv6r8iOcnx01EjwfR/w/3v0JTkuPX/7qE8gl0p9Wgd5mHN6ecLl0wK93EAU+3o74dPeMD5cd3j0e8MWrJ/zP7v8NbsMFX40f8c10h//yNz/B8Ze3FNB6SJAieP6x4PSDhHxQ5F3F+LuAu1+QVRWnAXk3oL5R1NuC+BwwvA9YFsFfvP8U7/YHVpWzGPuVYJveFCAojofQKvNxon/C3YKYFME0TuYvIj4cKD518wsKkA0P9APHHwgun1U7S6Wxe9Ri03gmK/PpT4Ay4Q96/fGVXAA+Z1AyDMqRVtHy3sKV6itUEdQ12fHZYw0J90Byg/Ku5STw8/282qLLQHMwAL/vColWxXYsjJ9cXlVpVBR9+Tl2rb8HOHCqK158rIvQOGrnKDUEbQwE70/gA93bS1bn7++T7Ze/uJCrJmzruwu+YAqT4hZoDpjnhGpVLR/a3ai/1jMlJuBU5oDjpcc8J1I9jZ/fRjT5496IGDiF2FG2NpqgPYM12ffDLlgs4km2Xwc2z36LoF49Pr/N4EkV6Vv1r7HsJtVv/W1q/TKCF9/58mVq4d8zAq92efVKPEhbgzNPDLciD5601s7RKkf9NobuNtvuV9oatFEVNqaiNlTN0EyjTrlxbJNMexy0RbPTVdiHyKdT3xoNt/Ub2/vjNbBzRbmztgBPQL6f5JrNhDVYVaeNe48xtNFgt69VnMP6L71ylMFK7RKgAOZEz6g50Gb9d8RMsrJ3D1FQUsRU0dStSw2YLh1K5ly3kF/YtwMIV5V+wMddQfi3bh5la0fYmIBXsdpeac98Y9ubZ9ao+JFIvIjRSo0+FjbPvCUT5ic9CaegiDT7Q1V+QLsPfWFzIN19Y+NXPzf7bnbZgjxd72VzGy+fJ4DmM1Yn+yKxgvsUufLNLfGooKCGOotjY5cB1tqxJmy8p+vraJVF+9N+3X3xxgf5vvBRZ85CEQXtt7q9bPYBHEhyu9XvfX9bW9/+gc8nWG9gnI0pcQkoyZSF7X1qyHrI0pTUw8LrWeYAVUHJAUXURpUISqEwmy6hVWD8zG2Vua1pmA21Z7Y5nz2YVwVbUhSsWoHPRkSuz9cX9+5/sFnrVt0KgI/xqh1tjO0dWB8WbHKB70ulrQXlGqJWXLWf2D7YKo67vYmJiW2fdbs2MLF2YUW3G7U9Unp+nVfDUVemy8o42Kxx5tfTN1mCXLEK0Kmdj9vf1XVd2suF9Wz7tMq7bn2A79OVeUagbVXXbaN1HExz+41g/2OPa78U+WnxssZ47Sxs6uz2hrDS81tVMvjZw3+LgaCdZEG9RHw47bDrF1QIppwwTQl5ZsIaz1SLrRZ7hsWBKp4r8yXhYR5xnqnvcOWL3Xa3cRfQfk9e2KgUIMBAPI+X/DPcJ3kc5z9zkHkT7zRAdMP0a+PIoq7MN2PJ5dG/K1h8zfe6r1ljXGOo5Az1md3tGbNaTdoxWm8xr9HPBFbcAFOGFl6PM4m2vfHbVys2DB4HX/tegLazMpvQxE5Rr/t7Ya06vh6eTNceQKoIXUEpAae5I3DmAPplVXpurBF/hkV4NsDusUObNrKygxQSDcCBIO8VoSuoEuD0K7VqPQKZF4D5t2JAXeV15sRWmd6AiTjLtR/LAe+nPZYaeVZ2lddoPnkqCeelg1wiwmmzwcuLhQegRlEuNaBWwSUnfLPc4xgHLBo5KSIWaK9cg8xnVAesE0yu7ISFPYhgLrCzavUf56mHiKJMEeJnhu+3OdBHF8s1kiKbUFWI2iZZEPnhv5dekfdiqvmAM3z8+TU/ZvnFlp1bOxMs/QNef3ySK4Jy26N0hlb7IHc1RdiO9BxSEBR55IBs9kNS6KZGBiJiQkFhUYwfCuKlIO8iKcxBmqBFNgpqtZ6OOCuiiTpw0bUhRNvXlZMJ3OThTHSve5R1tMHCEUIAHX8+8Ck3ISnr+W0UJl1RU69c51Ew32xoKWE9NPJekW9p3K7C1z2yIurUidrZYRr5mMKg6+girIFmG4cRxJBgCy4rg+BQWB1KTwF1EhQzwnhikz9gAUQUxrtOF4qK+K7D9J5IU+SyMojeHKJhJvIfp1X8y3tj00URL9qShLpFL3eCsqeDiBerjPk8rxcvTdKEC3wMhQZAjToTDNGpPccled+QU0ikUFjBJe45BobUlbCo9X5V/pkLZFrYi7gJivT2AB0GrGrXdHiotjhqjmTwXtmVyugjAuIkJp6DlfpmFW+vMG3punT0a2B/vSi0gTjVtm41BtJa/B4rVoDJaH9NQOICq54Bl4Go9vBYSWvp+L1xUWj2RNh6RedKYKq30RR2QNVE8QYfdl6t73SlSdu9mLPrNaB73giGiR3mUWxki1FpN31wkiv75C4FdaAwUhL2hcWJF5JzRO0CyhwIXlmVOp6FaPb2MsyjlrFH7UijmW8ykAXhFDmC5pFV5zC5/Xv/K9YqpoM6FUjTOm9UjD3gtCdXRPXgtAV2k/WX1pdVdK9KUmAq77X1qCuAOlTUsTJQmZngdAPVgtOZ+yrOLqjmyQN7XoAO4bwA0wStm40nAk2JVfuha0JT6iPgBAgm9AYASOvYAY8aOH7N1sioXN6z2qiwFdbSoC0xibB7MTEqX5+wqPWHVnTBqKMmFqLCSlecPMgx35T5s3zgHxhlDQKUHXu/OJ5D2RPcOTDLfZWOFRAg723+q2k6NNAqkjmS98rgxWy9jixL9O8jfewonDaWAZxhbAoTBTOFYA1CO69AvGQgV4j1goZM8Sopgt23q0DNcomoA1AO4YoOnI7seXKmQV2AsSZjslgv4F5xPPRMxqeAkAXpmXYeJwdItPmdeKHWw3ITkRsbgd9ZOgAdQbHuaPZla9FmzJrPlo2qsttS7QkKtNmXEQ0k85EVba5k5cgRsoDsvD76mQ32kdfV9siEIdU+PBwR8qV99XI/IA7RWCkRYddzckFWuvie7DBR9t77CBgfT1W7db38VSMwvwmoPathwwOBiGxJg48d6U4V6Vzhfdo6izHSVvB4vg1NrNFfyapp8y0wv/Z4xxI7O8t5TWg9nFADWAStDaqamm8oivE9xwadPu8w3Qc0YLYHplesQJZ9ZaAcFdJVjmabAgE98+thBpZJ1mQvC0IekV73DSxRAccINXFHCiuVnlVsVw9Oz7Zf0OP4ocPjoeC7+4Vg3nOHMAWM3wQMHxTLDUedtERMwV7ODsAc8KtvX5vCvqxn6BZMMaadFGD/jfneDXU4j6ahYYkrmXZqo5v4meEcgKDoHgLSaU1wW1zvomJiBQ5j9jl4o5FB/3JrcUswP6+WBGRg+MDRNy3uMpCXStpGv58rEMIVaNMd6aOplaGYXxN4iRdAZmmxKenoiuW24vJT+rD4vkN6FqSTmMbDui6NiTGjaU10702U0NXALUFa7gTPlgf0Hxjr5j2T6jIq6qFA5oD+O1ZNl1tFfVMxfBf5TCCYqqDmgMtvD1TD7xSnH2XEY8DhZwlQVp1rz3We7/jM+nexVWfJ7KM/IRK+JpGaFN0/eMTb22c8XgY8n0YsnnEpyBRKCswB52/3AIDLFxlSBP27gHhhBVI+u6B+N+DVvw6IF+D257Sp5YYMzvqhx1/98qeonaIelEnuUBF6jsIKophzRP8uoHuW1q8tU8DpaWAy/Ip9JF0sOOcOxShf7z7e4H/77X8KCLA7TOgTE6C7L54MgxfMc8Ly9Z79w0dB+EA/dnkd4MCgz9CNNxmlU1x6nv3LtztMukf3FJoej1pul34T0OYuF8XD31F89fe/wVwi3j/uUWtAzQRbMQeES0A+KD7+BxZ7WFVfFlnbygKADPQPjLnmO+YBjB0E+P8XXVkBBpVjRC3KPrCqpNd6visbYwk23qbDiuqaYw0iUDs0wlyp7pqEyohbhDBwrEmxUSIsY/MrRA1NcCRzc50vXx4MhWziDJZohC2qEHClnNnQLM89IlrVxgdqex9LHbDSr4L9dzLVt66ShpdDU8kMxQNRWBVXUbH260BlFaRxkZJaLTEKUKz3vapGa5PjhgB1ZuDvFaqGvgKr8/dZaGcGzDW5012fmScJjs6HjKYeWbvIub9qPWjbdQpgn9YeVwPtHdXeXofdMgtN9m/t/hxh2jxYF4GoQKuwa0LbNG34uKHWxRxiirLaTDEgwanJ9qp9QjA1VQdS+NCubaolEk6j9MqmBYLBk0YXzPbkroETvgYELdSqzFZrbuBGq6axTaOpJGsA6ZkqFPby67KDj8mCf5YFkwlIyuu6IgxYkOujoJhwEInzCvC2Wu2UrDKCM9Es+IcFPVaSs+tZl9Btnc/TEmcPfL2PrnpQpwQgrBrmQhcAE121XjG19zE4We19faBo/00AhjeeY2yiEmGxBNcolQ29L+tz2uTtZj9kUfjf3s8GMxnZmM7La2mJhfuALaop4AiZuH5fHSpkV0hVTQGahf3NYnP8vBLOEw7b3vCmJaBKgcDtKwZj5wRWQQHUsAEbtgiqmNhbwiYoX4NCr5i5kF80MMgp6aLr5+mGTaIp0HctdQ2cvaK52PeYHwoLjMK6Bl9eIXBanifZavYcGsuFzlL90u1zWYVTYLcG/qUTtN5Eq7Zot6GrdxWyo1HVp4jgFbBEPOyqEur+xdsA4joaTmolm8L8p/vQdK4ImWNryKIg0Cubio5XcJ1tECpBzsacEV+bYH6bLAcXWHxZoRVV689d921D8GWtZkZD4zVw4VVtXwksEUI7V+HrjDXA9r3UmDDRzslerYprJlw9KQ6oBe0sg7A3ObTzaKPTURSYZuiygjmlCxA/z5O0dghnDJDiaxX5YkJtFgOUgT7O13ud+4ymRNt16/0548WTvWjzrddqOSuhPtJMlOy2kDfxBnhPUEAO7ONzsUz3D2S4rN/TtqgyXtr6ne0EgrhUajQYFdX7EuvAAFv3BWEoNnqtcjRb6aiWLX6OrL2booAEjjLUEJAulTN6hechhPsuzAUIyfZpaPcesgIzRY7CIsglYrFzqxUlnoHBJje4UNmVErfQNvIpWeXVf4CrdfDnJhVIJ4IO2WawO+iiHndZIh0WtPi1sXqqGKCIBuQ5uNc+x/5ulVtZvx8BrG4lbTEYAGjHXuAwx1apdsXnOApiRKuEiYlhbll/rJzaPe+BcqiQWZBO0eI/fy4mCjVU3L45QlVwerhDsIpde64eo5qYn/tvn6UL2ZyNYXPfBnB6IWedF6yQobBlMEejgCt0V6ExNt8EizfjKSCdhCDPLkMvAd0jGvMMauBYz3ggTNZOyO6DNd79nh0ovrx/xH/45uf4l48/wL+5DGv1EeajgkJygExC0OeGKsn1qadN7Are3h/x7TmBIlwUxuPUi7jmCLa/T18CxX23jTUEwHGO1kNcerO1hcwGjuIpCInV0blGFKss5ykifctxQadPA+Zdxm4/4W5ceb2n2OFj2oFjAK39Q1ddm1YBD0CIBWrMFGRSt/05+6QICdwP/QNVpR1ghAI/vv2Aj/MOH593LL6otL0oFdC+4vUnz0ix4vk8IOeA5eOINMV2PkCtL31SY6lt7PolC+Ovef3x6spDYv5RViEcQCDWl1h2gSNlBiKanph4Nc4pBF6llcqk4OnHPULuWl+sv1zQoFE4CpB8JiHokCC+KNoOqTIEVhFB4wmLN5GbLPsdKYbxwmC4e7LDzgODqkg2g3fZEd1vVBUB5ls/BNfExhWFXVHOA65GtXYHlwzF27E/Nc5oFAs/sNuYhBeUwWooy5VIkr3c2aezQj8SfU7P7BVKVjlSC4TjRLSkRqA7hKskBF7hsKrplmISZjM4S/CdSurGGZaKimBAgDZqcufqvgYiSOW8MVGb8zusgZcHrlBHDhXSk6qnkci2JrT+JERwFqzNTq1FcK4d+z8vaBSYRTxIIC21JkEcIlKckc4TrqjtAWjKyX0AbByWU9rygWOCSh9a7/FycAEHq/yEDf3IFbkT10Nnd9QAEulkTiVHrgiVvUxUzkQbByFOjbbPDOIUGQs2oymS2lrVBMA+64r6GU0av5j4UVkDtBW9JTsBwmAujytToXbAcsfDpY6VcvWi7HPOASixIfwejHlA6sAHv9tAmw14QLq0Awy1JbocRxGsR46fwz6QtYcomJDT2geHNubBUWwpJhpTBfESG2jDwMfeN7NK264poO1JDzxWJ6UroNMSVln35Ja+5clPpEPY0pYdhMp7CnhUB3Gi7bWxot/P9HkASgmYY48wBZQ9D8ruCQA4joK9lhynpVEQdx3CONKWTva9KaIOHRPcKDaySlpw6kJqeR8wH0JThqbwmF3vQXCxRLs7roce7/f/x9uf7UqyLFmC2BJVNTOf9t4RcU6cc+6QebMyG9lV1SSrWCTIBwIEGiD40J/CP+EP8DsaIAgC/Uh0PxBVYLOqWENWZVbmHc8csSd3t0FVhQ9LRM08cugEbqEdCETE3u5uZjqIiixZsmR9xrCo4UiMYJoo1Hasgmw+qw1M816i7lxv1yFgDihAipZ9ntQoBn0qQH2b4Eegn11u192GLQeeG2UQ5CPnoOw4D432ZrQ/LAF6Tm3+2L/Zsv3QZo8bhbMLpNmpsruABb4aAmoXrSUXA5Fq9whYoD8JgqnqwoYQcNFBZhiZWUUTgfNAV/LKcHBnoTnnM5DG2r5zG5T7ubsNULf1tV7CUAY0tsw2K9ZEBz3g9YC6rraJfzNzWneW5egKYldQckS9JjKgMplK1fqtO4OFdpFrtZggUrhmaKlA3YA5m4Ar7yI0DAQ+B+qILAeK8MTZzkWrUXWKpBRmses97YYDZnHGGuwoIMut/+LjVnYRYalk9mzE+zwWTWPF6WtF6QTTg1OB1yAijGGlPOtqU9jiRJABTPd8/s6CN17crhcpVnj+qoPUhOUo7d4ctPJ6QpypsFoPBfF+QhBF7SiQJtdoOhdr6Yjb4zTy2cNEJfXaBwpBesBUqadS9qY2bedk68XsGckXgeRkNtEz+Z/YlQzsPvC63av3JY8o3r8aXG/dqzRNBJXNXFX30TjG24TDuk+UehO2xUlhNjXhTaaWZmfVxoCA7ZFMoThesWE8KeqbBWkoyFMEpkhq7lCYMX9iW5zlTpFP9L/6Zy9FIIW5P3Nv1iEBQw+k1fvPe+DwqkhXJdvF6tIdTEyvtAPTZ0B9OyEmxTwnlBzburp+VVHvMsJLwuG3HM/zzyv0UJB+TBgepdket30QYH5XUd5kxI8Jh9+FNTBxX8R6nOsYIXNYk2KJgdz0U2D+nJR02XE8pFpQ9TGgvvbMKGLdOxCr/b9yT81vyTxL59Co1cEoxAS4FDAA56++/Qy/+uEt8hxRR9oZEdBHiwpEdnnAwLWEpw6h0maiAt2PCT9eP0N/Nn/vyH6zbi+a+rmVudCfFuiSoJLwep+QQkXOEfP7inwUHH8nuP9LNR2fDssdMP8XV3R9xscPJ3yYH4igBmU21EGvmWJRL+MRL3pcjU8hgI8K9C/A/vuKy5cBT/+YWenDbyI7jFwEy4cdFY6HQjZA5DlUOgpI1dcO3UfLlA9+ntCA1UPGr17e4mUcMD3tgArEuwVdV1D3C/SdYN8VpFgRRLEfZtQu4PG1h24AdQS09orLiZ1Y4gQMj4Jy3fjnf8fr9w5yyxCQACroxdUZqmaQ80C1uvlEgRhHc7gw0RDTOrjDyYea3gAQwf47xf7H9XCSSvoUHdxENHJekWYEQ12naqh2RZwq8iHi+o6oYTKhJIgryAHlRI+/dm6wzZDYhpRCcYQwKbDpG+Z06+Uk1kd3/QwPdW0Hozo9Jdw6yxCquQGK9Cot+Fs56cqMA9CcBP93NcVZyWrKnGjBC8yhSldtIgnFabKWOfQDIF2A4YXF58vear/MWWnKxJmiUk6t2ma1t6hYo+CauMZNKwp3qkY6JGXHsWuCNWoH9dEcruvqJBE55yLXAIi1q1juHIU0Q2QpM+kr9ncjag0YFShTRPcxoH+mqA/VQI3OOtPxTL0glNQyXevCw+p8p8B2WG0O2Q7ChYUAjnPem3PitZTmbMaFhwtbCK3ff3PQwuI8C5iQ1TKjgqa+bMGqBG1ZYsBaFxS0OhyvZfNDe0uBs+SROV4rUuyILT7J9Oe9ZaJtbXiNS+2A/JCBThH6ghgtyBVQ3fhKcMXH2w+c7Tp1BkjLFLpAl9dyAY1G7lQ/oCLOKzpYr3R6F3Pi02WtTxWFtRtj5mK+C60eGcJDuvUmtrXodPs0UdiGmRxpY+dCMS1zxEkzRJQP1/aI+J69uQQ2nU3aKxkYwwALrYWMN2RHUKRdxmE3IwZFnzKWEvERQJkjljlAloDaB6PJA7tHG9YAKlf2EXE3QObVvmoK0CGidtGyrRVQY9O0unECUeO7dRzcwXahkDJsMuvZg6hthnetU2dMIpBc13KNKBAQGNtmsyQDqSiqO6FWAlETkLHRajB703qIKoOUGNx+SANpuou2MoJsWaFgwXHZEYQrO1v7nSIfb+cB2WhWAMIS2vVdqZ9ZH0FjMViw6VnyMFfE68wAxNrVuFgjALjKv3+vM48wta+82aNqa7l/tX6lwyaIgtf4Svuure2OC8FcjWitq9a9QHGidm8t2F1bt5XuFvxyZxJwe6HmA6x2oAHdHlwlcz77irjL2O0WnHYTzlOPs2lLqLVJqT1QbK8zQBJrlSOIPeuOu+T0oS0Q5QG4AEnWkqgkDcgoA7PpuriAo5+HtuY7MPPW5kXQP67BnQO+Tmn2QJWArEBUgHkdQ78fDRSC6p4nlH1C3vdtb7WexUb7blkz8HcejG9puFLIimzP7/5JpCJuUz73YDltAAk4owuYQ4A88BySRIBRiliQu+43F55kgoL+V5gKvObX71lyNQVeaUEu9x6ATKdahdfuLnLja7TexA34AXYfeb1lT6p53m3GYuD7h48siSsD93Wc9Vagy0Gdso6n2B5sfaQ9G2170vu0+zr2UhMG/GYv7yrKXQF+TOgfDdzfUfh0fzfhuJvxfN5hroLQF+wOM3KOWB5NufhNQTgtyK8dQkmQhWeVGFgcsrVw2/XQjT0vA5A+KA7fLoB2KLtgYKnN7YXrdXoHHO9H1CqYxh51sTZnSSFfTPgnP/8d/uy7L1C/uwME6L664KfvnvBX8T3EEgj9C+fG93J5yPjqpx/xTX6HsIQGtDSWogOSswmC+VaKithVHB+u+Px0xmXp8OPjCXlKrQwjXZmogp2zzigB7Oez0ZcfMoWQFmkskLCAmgS2d9NQEGLF8u0e4TkgJABWs+uZbliQCxi4M5NOTCYJ1+HwURC+lba/yuDAP9B/FPRP7mdhTRot1v4rg62yDgMgCn07Y9lH9P8+4c2/fUF+GDC/SXj9KmL5U0XfZUyPR+w+BixHRbkrVrJkY7qQRREukcJ1mzPU7Ub3ynVx+WrAH/zx9xhzwvOP7xFHmFBZRD5VhGOmXsAuIwTFT98+4cv9C/71dz/B5XrPOesMVXbgaSj48fWAaewRXnkoh4cJd4cRh27BqZ+wlIjnmf3p9x1v/Klz47CuFS+fy0dFvi8IP0b0T4p6vQUP/7bX7x3kxoWReEPcqw1m8omkemvwuiSsaHvj9RcAk1OD7Gf2/Q059gPVHfUAOvrbWgvY4WMGie1FAO9xGAqgdqhT9VCaYEKLDSMPLvYas41XeW/LkfU7ROZxE+Q5paMOjuBb5tYR6aBwyW1ezHeksuWAqf6FRdpCYR3kimg22lgA6W1KqtFWPCEUhWZmSMpAg9ZqBYufZGg1I+4AxtkQXj/Am/NkRt8CD6c5tetlNLVZr0+WDIhR6dR6YLrz6Yau9IZoJRM+isD8ht9b9kTzpTLQJi2O9xl2vEE/TDxTXtNKa/O5QVDEWBGCQnqqkNaeas9+0DqN0GnlpOEGIEboJhqpKVJBWSwQ8CyuBWEcrM13bEQ7ttQkBzvc8XXKmn/eA11xIYnKYJWZXwt4dT3cfY6kqGVBpdHN2+8TA1h3vAG7h36zn4TLUzaZH79WW+uWdaeThlY3lw+kFcZTRuoyuo4y/0uJWJa4zoftE6dPuaF3Oi0PE4EWWafRaGLeF5o1R7wpz1yHWZszp3EVffIgtLEhrPaz9vz9SvNyCjtQveQg+rpHY4k0oZmy/W43xr5OZRMMCoGJYMyOPVbKmtia9eExYMqFQDKAsGG4kAZqYyVKfjmAXANKhWnrkPIq0QDHqq3GUZROX4hUzW3AWc5UWLZXOfbQfVoZAzXYurR5GKiSf1MvqKBNGrgeuM9px2qiqQ6v2rJb/rqhZ9vcywYsULWfqdt1tLZFjeUgFGgxWYGVGeBjvG3NUrkQy4C2F3xN0znblIbYc5XesoWDgTk9a8iQKE4iUVHGRMy0CmBtKEKj0q7n2s1eb3sXxvwxFepcIWpUTgCtdVZbiwYSu1jPJ6+WOVVqOjjYyPWLxnbwsW9BUqMVss81vA5RWSt503t+M77+2to83uw2YNpQuhPnK1r248b5svXdbGWlLViWiEvoUIq1YkJlu5YgKDVYRk7aGtn25vW9LCltbm5zbdt/1cbZs4ka+B7PbG5LM/LJxI7KZm7dx/HzJJkIVRLWFQPNLnhNOmv6naHCn9UeUFhQvU8ofTAKIGsqa1iDAWxsiTswtWPfVV7P7PmAlZVm66ANg51RrtSuAzA/VFLFTwUSK5aRQjN6zIiRmaY6R2AOpo7vHRqc3bIpQ/DxGKKBL3Vdc5uWe1Jol7TZUMumLrfPt7UZy55rsnsxdlYCVMKGebROubdm41pF0zrYZoPXFmjr59t57XoszhpJa0BbdgYKuXvnttx1CsTs+hhuatLDwn2Tl4g5RQYSQ0FMBUPHsZ6PGTlGohSbfSKWQQyL1dn31l80hMZ6AsweRrbZyjtT7BbepFQ/n+jHXc4MOBxEkoV+6fya8OvnB4LV78wIlIDvX04Izwn9E3248Z3aWNuNFsHzZYdwiehe+bv53rQNzC9lyQxW3xjmXyrboj2PO1JZf9ghTAxWazSGVmb5mZc/sibX/MBAvzvuMmoOBtpu1z0p0dJV1sIGxTxUlCE0ANO/B8IAV4JCp4gwhtZxwWvNGzXb9lPZdkKA/btfa6BV0Opa80FRT9QfKC89EBVxn6FRcfmqQxrvMJ/YRaTsgPr9Di9xQP9klOadET8jbmtWl2hdIQykveMa8vteToLXn/XIe+CHlyNKCUC0enPhfkYVhFD57FWQS8BvPzzg63CPaexQ99SLCBfTV7LaZYmKoctQFVyPVjJQIp7PO1y7Di9Tj+0rBhNEtDNdI6A9+yRfrLRGA5BeWLu7HFdA6n/q9fsHudeMgArvndjQUDNeIQMoVIaMk2d++Fk/IMIEJK+X84W+QUK3vfMA27RWbN36x2L9POmc1RAeChtoMvRTtRmvOLpjvAZd02cVuisou4B4IsUhjkRaKAQCBh66HlwtyM1AuVPkOzZflkNG7Crev3lFHwserztMU4dlIv3HnUMoaSzpKo2iC6DRAF3zJcwV4bIw03JkDW56nSBTge6SbWQ6MGWI1r5I0F0pUEQl35VGI0rqn2QKZDhVx0EAd9L9AAZ4YAIrpTXObINQk1CkoQL9U0acK6a3HaY7p38yyOjOBajAcgyt75gDAsVaJBClZbAWo0CDNhqQt21qVNAOKLu6ZlXMgEOAkCp2hhCVQ0DuA/IUEWZHoP2w4kMXU7ArfYAOCZDV461DRD5snX9d6ZS2nkhnClaXJa3FxDZQ9EyeHrhm0hX2IAw8YF9HsMAp95UZtQwEq0f9NNNMSjvR8pbVWNQcewIzIXH8PMh2yozhHmhIHKRlWRvqbs5KtlpqisKwxgcPC1Kf8cWbVxy7GV0sCKL4/nLEj/OR3+/Z/Mx17vtOPSBwp68LiEXhAl/sgS2AtWyqiS1WWJPLoD4BzYEDgLQLiHNoGSbIml1xwSwp3ivTAner0fb2R8UzJk5vDquqahorf7fpl+l7Z9u/dQto5B3YI1DQBPHyHW0N/JCvdlgUQdiZnTEKkNfYqwrQKeLAPqnznCACLNloaEERE2s6VQhu5H204I1rPs6CbioIc4HOM5DXmp3xsx6pN7EpG9M4V/SPC0Qr6kNipmSjsqq2puf7inoqiM8R3QszfWVHYZ00Av1LbXbWwUMAaz9QBVTWMwSreTSwVG8AJV+byex/uq50sPmOf5e9Zw/FgDg08Gal8LqI4QoGseepIh8swD0p8tsM9BXHhxF9yuhTQQwVz9cdzi87KtDX2JzDOLkjugoBxcUp2WgAWU0Ajh2FF18myJwRKgNd7SLKwRhLFqwOLiTWsrPreVSsHVLpBMuJ873/kUJXZWfjOnrpC9p9+B6oEZjuBHEWDC9cqIuVrzQxI1kDNg88vLXTmt2lw+OdBLZOo8yCdI1Nldh3rlRzCH3/FEGdIxZlRlYAdD0dpxzpdJU+oCwB9ULmAsFh3lc1cJvU8A7SRB/QwGPP3HLM6Pgh2LzlNbtPcTzarOVdRrxbkB97dI8RoXJ9NzXdyNYZLTDaKtMrMDzT9pD1YCVX5wKpiiUkwNZhGRJEmdXl98SbAJXnn9kUZx7stZWd0JfgOmBvaQsuioPaxr5IFPCKMzC9U4SfXbEbMj4/nTHEjNelx5xTA9KKtaoKo5D+O6KVO3mw7EybkMlOyD1/1j/ndh7WPjZAIc6K7pVMsultRLEsZcrrXpFq11BguheUE1lqx28q58mcc2dvuE13gTLfd7UD+hfF8FyMXh82YOKtXWvg7iAowNpntlvLFpYTQUc9ZMS+Il/Zek6KoOwZTEoGuudwU7dKNoNgOSba7VhxOE7oYsH9bkJVAT4HO2IUjrvvk1CYiUsTKe3zkeJ72kXohhrE8w2Y7yLmB8H0jhSYOBIYd+ZiHIH8wwAXwUKl0Fkcge5jwgd9AwwFhz9+ZuDytMP5scfxm4Dj7xTnnwqmPyJFs3w3MGkzB1w+HLD/MeD47YK8D7h8FVsPWjG1X7EzsYE3FahFMI0dqdOPPR7+Y0SYFfMDmj5InBlLzHdAHRTL2wLsCrpdxrCjiFOKBdPS4fyaAAlN2VkHxe7NiK7LuLOa1etdTxHjTXArVhsdrK9wfRb0H4KV4sDsI32p6mehAUUOHqCa4BVW3yuYoJJk7rn40wvK04D+24Q6AP2fXHEYFvzwpxHXLxPKKaN/M2F+GvDmX3VIZ217mq2+yJgsfQWKYPguIl3EsrKK8TPB9IcLfaeJ7IDxc8XlK0vKfUM/LSZgOa0JwHxSdD3t5nhlhh+/2iM+C/C+ov/pBfOlQ//NgLAA42dA7Su6ruBhP+LQL3gyYGx8HlCeOkyBYyx9xe40tVpkVQCZa1w7hdzPiKni7o+uiEHxw59/huNvmaSaPlOUTfnY3/X6zyI8tRqDtY9mMxTb+jMTcPADtkZAAhA3aNqK2K1OzFqTaei1MPAB0FD+bXC2zew2VBhoNRTu+DITJC0R6plNr3HTqM1ZFFk/R+dzPbhusnRWN4eoCEkRU8G+W7BPC5YaEEVxATAvgfViRqNo2e5NcOFIMQC4XLz3jFQfYhH+zOvmAKCwFtYP6XbYhBVtXqmDNqZNrMLaI2BjdICGWN2I6GyRfaf2VDSa3Y1EuY2TZ3s9qwD/Tvs8TGzL1aEBd6rQHFMX32k10duFWAB0Cuko5+XOf1sPrlwIvQkS1+/A3/hqzlLARgjL/u+0WmDNtjqVysdt8/2+ttc/n2Rl2l5Yv9/Hgm0Z+Lsb+omDLsrDi4O9jpE4W8+/27KDutmPGix7bvdFgGq977aXG2rJA7HrCvq+4H4Ycd+PCFAEUbykATEqavXFIusY6Pq9bV9vX5u6zE/Fvbb0ZSjZDQJdM16FwYSrHG8BslbH5uv9k+ve2KpPwAlfw41mG8i0WH8n67po7/WxRmMaVPBw11QR+gItoTFMHKRRWDbb95gFuyJK5mX1deHDYM8uPKCDj7vPVbV9Yw597U1oR4RG2J9/M7a+r0WNWltlHc9NkNrGtAi8hYDXokFXwGSb+Wvj6v/coOxbhsnWzgCACzWtACjWQE/A7HWQm3NBG2rEcfJMrq9BTYKKlY0kanMGC3wH0q9lV5D6grs9KVdBFAHsO3u1Ppncd7Lu7Y19as9kNZHwftA3dmxdkM2u+Ho1AarWL96d8s0rBKCCtfpeGsDvwt/4asHqZux18zufp7W+XG7fGzbnf1zf6yBa9axI8okEEClmCF1LgrbrgOcP7ReK2d1oe8ZuNgTP+rFOzjOSasGNsxiYrRc0kS9fRl246VblvWC353n7G2g2SOyeag7Wmg+tFrWt809eN2u7ru935of8LYeOZ5OD7SVvJcUyLKN8bmwA50CbzamgnxR792f4neGTa1RrXVM7Br13hwmHYcab4Yo+ZgwpYy4Rl6XH69TzjPG6bgumm9+yPbu2j+VLabGShCA8y9S0O1xzZDtG/kzmf233VKvv3GZiPQN/I75ltsHOmJbl9bPBwI1ti6d2Nn3id9wAY8Zi0kTKMf29SiZNV6F9IKNwDkDRVgO/ZU61dV8NxBFFjLThItzrURQpVSy6njWtTWIHig7JZo2lAL058AiYzEBjxcF9H9+rBsRTZBQMcrGufymAzJwv8c8rVkafcL/vjzNUgWsaTPxOWFagxip08b92nq7MNGdNAPxcnUMD3sNsivrdWgaRD/xl2THArR2YbY3rIlQQlKlV2r2WQ2Wm8Zix6xekWBHt/V1XUIfAbGLhTbq9qag8Jt2268ZXsPXo+6mxvbIBndkBZ36osUObRoiwBnohCCKquDztMe06KkC7aBoABEXecXIcoPLa5u3LmQZSgax23mQq8bPLyWonYCWUPOfN/y6WM6rAssRmK0W4PsqOtqaUQBvt+1TBBJXaH8D+bXMeAKQKSQoxML5W2nMRzmHtAO0qUqqIqSKG2+fzTLX3lf6fev3eQW4+9Yh9BIx6k/fSnBQVYD5RuEMyxYZIXTK0/YFoRPcs6M3o8/A3tWOjNbL/nTblrjIIpGP7F68FLj0zyelS10ym0WEALro01oZyO0VHFwUGASy7nM7CvlvuQLizr+vBffPSdeAh3HC6L6xZEaJzb4cLHvoRX+5fAADfjyd8e7zDy2XA8tsjKQUXUzoDvyfOiuGptvrI2glwSNCOVFmXr8+n3hA5GpE4VaTXGToLdsIM0+ogUrCFao6EzcsumJLj2obJjX/ecxzCQqS2RiAbhZp1YY50B6tB5b3nXYRUFqTHZV2gpWchfjXqBqm9aLTN5rjtC9BX1CWw3sqlxT0TowJZ1truMAWo950UQHcFp/srliXh6ZH8HEmVm6irWO6BeA2rWIatV69Hi1OFLAXIa21L7YSCUJGOhgevpQ8bBNhEyy5qzps5yXs+Z5NYr+4YaBN8ceVnAC2L7iJuLbMVTHiqMqPC4Nhop5EKrQAz/mhZCjsEXSG0PY85hqmaAjCRQFFBGOnAdK/S1mR1IMNpOL2i7hWyzzgeJjzsR/zTN7/B590rCti/bQgZY044Tz1exkTRBqyHgrMWgtW1tmDfM7bKw37rdEqQNQ5QjlWYWNhWdx3KYHYhF6sbXFtxuMK1U6caKGVK0ay9pK3pLuve9tpEd7YybA1WoAXout6jBwMuxFNdidL6x5VTISXptGAYFkxTh7J40TTgQjZS1jIPsYBaTG2+5gC5W9AZJShn0t1SYvnIJIqMhNJVaxnkVFzBdA+ULkLygP1+T9aMvwQNKKwdKW6lVwCdOSsbeuF5FdKTKhg+CsolMVu8rLbTs/at5ZTHgv0arHpG0Cm7sQrYI5a/0yg3pQGhKPqn3M6duq0fBR0MaYHZ6liWXtlSqNLWh0yHwAVtkqnAVmuDttxrq4f74rMXPAwj/um73+AhXvExH3AtPYD3OF8H1NyRujmj9WVe5c15zyFr29fpWhAvuQFUTdVdBDp0KIdkDnLl+emCcWYjagytfr9FOgJAhWUslmkgPV/WMfQ1GtHa2zQ6dbHsmZri5s35JlZGYnMmQE2hOVQuQpaPVqN/z2JQ6SrBrizQhUIyyz3HonsJTczQ+8F2mXtnKZEO7AkIu2y9fglaxlQQgqIYYFMA5KvTw1chJJWA/ilApxm6rIyF808iDldBulZjFaGt63YO9Zs6UBujqMDwfUJ9jEbVRRNYc18FwWz8AlMvxspEUNY2x8mokU4t9Wt4qVVYS3x8XXeX2qjBLpTotbrLHal9jaoZFLhTAlMxMjNdZGVPWEZRE32wuVMsD4B+NeJ/+9WvcZ+uOKUJAYq7OGIIC/7F8x/h//PNz1EKaygpymW6BR50wsbO103RBpzFXJGeRyAEjF8eUHYB3WtB/zijDhHzfWq+j2eaW/LEgW0DKroLS7BUXG18radPF2Y4s/dj9aDagfQATCIra2dYy1ugzHzFWZtYKgDAha7sv8tRgT+4IqWCPvCcoh0PiF1FfzpjmROWpwEyi9VIYi31sVZC2imwBBRN0J1YO3JtbWFCqIgqQGfAzmnBVM3niYFaCz+Yr7golrseZdn6LcD5vQWBgdRSODgAtA4TUumHlz0wH2C0VQOllMJNpQgu3Y7RT1ToUDDfcy2MXxb81z/9JV7ygH/+3RE4U5AMNaAOiudfxPb8TITYv0egO3NslntjJYyCOHYtUNSoFLpywFgAPRTEQ0ZdAvU+AMhQEKIiTwnLpYfEitQX5CUiXJlIevjTD/g//fw/4MN8xLfjHeYSMZUEVcGb0wV5H/Hx6Qj9frDzi2ujHipqV5EmtyseaNM3jlfqyHgWdPd9QJyBw7cVaaz48A8jLv8gI5wjhh84b92Za333fcBUd0ivQvG0Cpx+2QHoWteC6W3COB2AvuLyT66QqIan83kxxuY7AMDyrmDZ9K2VWdB/k4yJUlDfF4QfO/SPAfMbRfeOzvTyNECWgFACMDKbO7sA1a4g9AWHP7ngOMz4/sM98Ns9krqmEKBBESZBniLOc48pR1xeB0CB7jAj3Ve8PV3w5eEFH6cDvv54j1oDdv2EFCvKXcDcFXR9wf1xRKmCj09HlDkiLGTEda/A8XeK+j9bJtf6wsIEFVrf2NkPQTqPyVoheO9WF1FgHzxOjDskDWzaoNCCLVriQeoGduaMo7V+cUfTEQirDVajma6942ABkjtcfE/rH7a5/paC6PWEn6K3GsGAKjKbFYKijwX7uKAPGUPIKCq45g5TjlgclSyfZCaqyXG74JAZ+hvFX6DVG9fO5wF0jIoiTsVErIw6bh+nk1KBSoTNBUnWHrxmAzfBxBalVRGIEpGt5uSybsmDATqrcQQFEjaOQhlu6xLaeGJzragIXUUVZY2NhLXgxa4HF57wOdgMi4piSGwcrotdKBjKFxXoFHVb64M10G0Kr1XxaVZlu6ZE1nu5yYZ4ACcW6CpFmiSsgZ3Xya3Zeg/uYAGAtLUE0PFDsmA6cm34mvU5276IcKtlP3z9r/MHrGu4JkD7yoMrqYGqETCxoG2d0pqVtCxJZKPvocs4dDM+717xeXrGogmLRhzThF3KmHNkTcdmjm+e3esDPVj0fQZZRZk+zbr7y7NhtQLW01WUCzigQqxO1Z+57TNBq/PVzfM52OKZAKcf84uxBsaGaopnzP+mWkv/Tvt3G4CoQFcRI/+4vdtm3j9lc1RY0AvTISi8hyiKArRnDKKIwerQLatbIzi3UZjRTV6eEVi/tanh+vQZagREVhBxVcFHy4w40BxmWDC3sWkz1prmKCvTxvbSTT26O8YKE1ezca3rOtzOO+v7dV2jtm6k+nU2gZ9gzaQbZVPnFTCpIKPIHVlfC7XjXHVDxt0w4WG44if9I97FV3Qh4ykfcOwmzqP1zfYM6pZt0tB+t2GWGQrZKRZof6uBPDUFrmGvz104F+2xZCNItck0slwHDTiru9XJ39pc7/0LGGq/CWg59wasGBDIc3C7kLfrWxobh2CwAn1tdcshVGiNlp2hrak+Jz6xm3FSA0gczPUbcBaNiH2nBohUlMQMjaq0zJSfSTxPC7atsvIgqPP6rK21jYPVm1rXNt4WMMWRmQQHLb0eFQAkkoXRQI0NgMcaUNNOKLdZfHX/5W94+X5zQcc6A2XmOvMsGt9nvkJUnncDWSIOciEzo3hT+mXv970z7Bd8OTzjLo7opCBIxfv0grtwxZ+lrzh/zebJmmneZlSDNEDzJpurMLEprCUeCqpfG0OJ7c84Lq2u3myQv0QNZCmCYgrmW1ZDW7ObzK9naNUo26hmYryWXNDWOcBnKn4P+MRXCYB2isNhQgqWGFDBPHVUAJa1HnER8299ifseiQSV27mQA7RWc18F5RPqRbDrxFhR+4oqJqolTtEm4E1WyjrBnkGsh9rKKFBXlhA88Cyw1kh23bA+KxTWC1eQl8DzS+hLedCuQ8W7/owUyupXKVqpzXK08YurkffsoWSYei+AYO20Fmntg8pOsOzr+lkA3WnGu4czXscB57JvZwoAdnOY2f6uWHcHD/7eHa743xz/En+ZvsA59xglYakRRQW7lIGU8RT2qBmsszeTUXuhP7VhZXjZjYxoJYa+BuNIwHR4KkweaSRQN4VbBl8lUFRe2ds+mDr78FwQsmK+i8g7jkG6CnIUnO5GHIa5tRz74emE2YJcuC+8p+3VYpnpGpGugXPRVaTdghK79jxdV7hek7YYCcJ9IkuA2huDKN4drvjq+IwPz0dg5Pu8X7wYOO9GU1Wg9v9ovuJdP+H97hVZI76xhZhixS5lTF1GrYK+z+hTxpwTyhyhI2mEteOa6S4VddxMxt/x+r2DXCkK3dNgzceA6YEqat2ZExm9tsUDHFvMokSOvAl9oyebwUyTNql3wAyUoRrLkTUUO8BUltdr5FN3QyOI1m8XADoLCPPBJesti7kA/TMX7fSOqXgPVspBsfxkBqogfkykdNghns6C/fcWdJjx1KTodhm7YcHbwxVDzEhSsdSIfZjRSUEURVXh37uKogF5JKWiUZ8qjJbGOk+NgjRXpEveDIqLDTATi6xGB1pFpABAFragqX1EjRSAWA6pIaPpQnn/8bOOh7BlX0OxOjcx0RwPApROwi31xAMW7ze3PTCotFg7sRppthlxFNrBjGAKx1WAsoRmSJu3GEzMI1qAV1ng79mLhtpeE55ed9AaSFsOitPdiH2/4Dz1mOeEOfZY5g6xY20MVOx77ftSxNYbKLsAGOLLNhNY+90KVpXDxcePdVoaiORv+5u2AKaiiXZp8Bpe0qdE10B4zbRYf0V3SD/xiVpGKK/PUasgTYb6q0KOst4vjJlgMvH74wRVwRgH6BywlLg6WIZEl17bOoeQjv8wjHjTX3GKI45hxjd5j6d8QNaIIWZ0saOYVKZISRyBdFYML7VlpbFZ79uDpFEMxWp3lgrkii3nThOj77BUSJ5Re9YxqgDpUltA63We/rfPhQdc/n8NFDbYAm0toyVAMCe2BedlLQdAXL/T91ATTwmCWsA9W0khy0tEndhCofX8dEc7OTWR31l2637RAtQlYJw7xFixH2YEcWxGEIIidQVq7URkDghLbGBOmshYQL5lLLD2OMAF1NyxKz3skGEQQbVpZiWXgwCqpnKNln0ORVsLJzqba52/utCYl14ERXEqPtCYNuniYIULIZl3arYPAOJUkK6KvE/IewpgBOud7D1P6VSZjR6qrQPea7zQgdiq2zY1WwDIAcuc8DTuEKUiQrELC37aPeLL9ITXMuDbyx0+1MCxtnMvjtqCIB/vtjfBteyMBa5zgfeFprgdGERYkFuNYVOHiDJYn1vvI2w9Mmuks0PA2Wh+WyV8kJng9VzensEDCwdAAJ8zQXSAegMC1M4ZJgYEWSlDAwsXAcaAOgcgVda4z4FZLRdaNLvS9pfvG/FrWLAsoKgagNjZWFRBrRG1RAa+KiinijoL4hRtLW8CcpEGpgNAqMD0NmB6E1pWLWSgfzZQ5Ug7nC7GWIi+JtbaXGebbYFGBzzjTEYPWwBxrrqL1UbvHT13v0VQ9qxPdWVglhjx/HB75Wyhmxpf+x4XrSwH9s6WVNEPGSUH5HMEZsuGxpXquhXK0Z5BV0oFi0Zcao9i599UOwxhwTkPGFLB3GXMxwoE9iwtixjlGG3v1CLoN+OtkWfo/OWpsQrEbGF+oNBH91zsPCDwk08dRdDs8w6grYCYIhUKVpUW6Eo7S6EO1JJN1UDdQMfX65gplIkVkPIA2cEHH2vzg5Z7roeXjwcrkbA32Tpcrh2eckBd4tpbdIJlJUF2QqPHK/cKAOwEKVXUKvjh6bRmwwU4HUbcHy/4EA5YXvt1rwTu4eUYmIG+ZjK5/LYrkC4CnSPCJK1bRd6rAaDKXqd2pqllaQGgexH6xb2PmxqNl8/ZGDkDINeI/+df/WPec1exvIWx7wQ52vnh5QpgIBQvlhU1xfLuzEGWZT13HXxIL4FCrl9M2B0YGDxfdhy2+wl5iciPPXQMSBvWXznyvMnvZ0hUfPdywv/tr/5r7NKCU0dmxxAzahD0saAPGd92d5iVnysWeOtQgcHozKYh4SKLagy+fLDSDGNeZghefp4aUJ1+xVY61YQ9L1+ExiRqbRsT9UCuHf306R1b1zmInF4CXn51j+desf/8gvvDiON+QtcVjGOH+sNAMOPHDlI7AnHzpmwlADJGLOiBoWL8kpM4/vKONiqv/sdyr8iHCryhMJd3zPj64z2+ebzD/DhgMJwuWO9698H39yP+mz/4N/h+vsP/uPsZLlOP67XH87jH44cj/qz8BP3djH/01bc4pBlDzAhQ/KfwGb6vJ6gKnq87zHMCzglxFNShoh6AkCOWQ4D+bYmPT16/d5DrFJ3Sm3rbEc0xc6EKqaQ+lZ0duGbju/PtAbFFcqMpx20PZ6dtLgc6reUqSNu+odbfTgMo218UIVfEMyXt3MmS2qMMkYh5R2OXLszejp+Tr+5IbR0qfvaTjygq+Gb5DHiJqAcKxujUIV6J1uYda3s1KIZhwcN+xB/efWCmRQXZDowoK/InoswqVlKNsglYtCyfOf7+3FIUYcpw4SuNAk19y4h43RZU1/NPBKFUhIWiDqIMXKo5MunCjO+0D5hPbF+Ey/pdYTZlWG+Obn6DptXeucFt7QouJnTV877jzEBakxilyFoXOIK6QYGlAphYy6G9Qg3BbNc2xepijlTrWbcJHGUR5LEDAuuiQyx4dyRl/DHtce56PCl4+INOjgeajibTGV8jqdoJqaICUymU5jQDdGh1WQ/IAAVmNIcHQBM58efZZupaINYZ7aoCnR3qVQBEE/cwh9eDMpXbmq7W9gU8SIICYVbEjuvFqXihCKpHy6kidQVvjlcAwPdLRJaIWgVZSOturVxMLdWzrTEq7voRd92IY5iwCzOm2uGp7LHUiD5SnAdW5+I09zSxtKClRL1PqjMx/HkaMGDWNFeEOXN+jEFSe1K3wpy5ztOqBpvGYgGiO758hq0zc0NJVHMCdm5X0CizXjOmn2TFPcuiAShbxT8LUhy4YqaTDj7j40ghB29BswG4Wn0Z7GceqNn+kyrQHEjFChXHnjbuunTIpogIADIsKKlgGRPqY0A1Cp/3sEa2HqLNXliW19VkxR7DAQLvLXwlgECBNY5tzcwIeq2RlLW3cHMWtxmCzTgpnI1ieyEINQ1GOpGenff+yLULUAPsuteCMGXS9c0pDhkrECJrpop802K1RZU1bRoRrI7Y74sKoNr2UV0CxiVh7Jg266XgTbigl4Kv+7d4GEa8jkMLcqneyr2frJVKmCupxxuFWDj9vtVBy8oy8FpSbx9XFQgmbncI7Hs8w0oWtO0X0gHlhmZ/w3Sx4LZafVuz34omVijV1Mi9nENXQM6/2wPoT2sMXftCJ1KTUSKzNt4qpLja7aZcZLOfGrsiqrWmUIJkkfX/AJg1UyEF2gR5MBSoBNbbZmn3w+cP2Naeo7LvYtltrjt60ErqoUb6MMMzRRsnYblBSDzrJW+ASGzGQHhux2tFTZE9aNUcewMG3EcJC/UEln2wEiGCv3EU9N5yJa5BbhvrT15O7YQAaciIqWLXL1hipJaL2OdFIZ0F62ZjNFIfAH1FFwummlBV7O+AqSZ0UnAtHVIs6LqCaagoCtQUaU+NsVHNpxLPmGJdf7UXTENn65S2viaBHiLLrF5mngEjKfy1j5AhtHvfMlz8FeeKOFbkfcRyjCx9EjSBrjDrKgK5Ufp2p9yBhpuxtCxbM36+b4TrJZ/Mtr5SPDS4kJ0BBbCaUllc4AmNPl+S148btRycN6G7ihgq5iVhPjOQlUSQvrureL9/xXXp8AyQQST0N6uJKYaFIpU1bwZI0XrGx5GCW1RitvM/bM60AniNJipLlYZH9mjNBzTFfDSQl0aj9FRsv/zmxHrXQ4EMC+olAVMAOqBGt2H8XPR+xSqrUvkm2SV1BSRQCUTKAIRdxlcPL/jh9YjzZUBKBXeHCWNKuP5uh+557cdbB+77ulccHkacdhN+fDzh+fsTdm9G/JdffIcUSsvGn9KEfVyQUoHdGoNWOzNiXxloW4ld7bWxtIIF1S3ZFenyjOYnxgnYf8sYaL5XZq47O4tHYz2ab+YMm5qA8XO2zYmvEd2LIM1Aeo3QDpiOHep+wqFf8P54xnfxhKcfBoQs6F4sBrNygtoL5juzTRPPPN0VyKlAn3rsv47t/NMALA8McPVYcDxNpEXniFIE82sPGWPrUez2pwW5AB6OV/yf7/41fr18hudlh++vJ/z563v21n2K6B8F518E/OM//Ro/6Z9wqT0WjfhxOuIx7rGUiGnsVqr5LCj7Cjll5DPLS2r9Gwzh3/D6/enKAU2x1DO1GoEZ5MD3z0T8Q2FNTqzaDvTWwkNXZ9MzRxw5Cyh2nLDuugl4DJUrOx5cK5WoNkfVW+2EIQLV6JLBqGBW27gqPosh2Fb3eywonSLsM6ac6Az1FeXI76UghmK5CzdOqSwB55cd+/PFgiFmnLoJvW2mQ5jRB/adUhU6uLMQZRvRaE/M5AhE/PmUDpFJLSs2wZj/O4qpwK0/F+Xnqn1u28+4ZWuGuFKNg2UdjQLtTm0wuXbvD9zGvC2Ezc/EnbVNNrkqKbBWa5MuK9jRHDufs8Q6DB1XcYpPM2pxkjUANIeoCYMFQOcA6UnLSKnidRow5oRpScg1QGtofUdrFIiJbuQlIF6rOdUb599qClvt5uAOAmxcBXBAojnHeoMQh4ybIHdFpm1uwxq8bp1GF05h77+4UgcVEKkIsrY0gq3xv/GlaEIvuePhpLuKbr9gGDL6SMpKTJUqmkNBDco6OgnrdSvsgKQi9Y8je1Z8uzxg0YhFIzopdJRywrgkqw1Z568msaybtgbmBYHOISodegFqWh1TrmVsyiPWvSHsL9P2h6PZjWYe10DNBTxclMbXfKOO+ZoycKGKtDrsrTMerT/uKhZH9olGRelIc9C4ggueNUhnaXXAapmV1qh+WoXA/NDwXqs3h+iWXwqgGDMkenBbqQZaa2Trhxxun81E1D6lSGoUwDI8vs4b/dXWMSwYcmpbd2a9VBpvs0xbGrrfaok+1rKCc674XrkXHLQMhcqsdSM8QVT6dn+FuVCRuHSNDu3lHRRXA9u49RXSU8FUBGyBUAR1DKjTJqPh+2+zb/xHVQW/md+2Nd5Jxq/Hd3iedpiXtAEXbQxcNV2ZtZIopCh7iYIDOo1JsGasvWd0PXTtPTyzaguk3I60W7XzuAE2ALyOrZWb2HpvwKSdl972Yks3/JQ6L5mCOCFy7bTaXBPvkQKwDhR0iDc06VAAWegsNy2Cup79LbjdBs0CqnAeZrITNvTQWm29qaDkgHpNkLw6uds1LUMPYO3f4n1M45V2vxyYXRs/I03SKcAe9EOsxY0FW7Wz7OVs69uo4a6oz7OS2WDvSDCrBzyrU7wcN/atruMcrB0Px54PsxxCU3lmr08GiWLnUO2okXB3uqJPBff9hGvucN7vUSqgfYUMFeUSATE/IpqxKQLMAdepx3fjHZ39sLLOigRkDTw/XcwxWLasJ6Dj9tPZG7SxazC5FQF0/yRAW89X7SLFmoSwbd5H5H1YKbNlBRznE5Mq3UWYTXLgUi04MjsUJ6AZVF2DW6eh+pnrc+jsqjgpUlR0r6tPqmJA83n1SdT9DWEGbmuTxWrDb4S5ipcYOeCsqHvu59hznkOgIKEIcDyOGLqMfbfgdeFCCruMKpGK4sG/12qZzwt0Xtl+82cVHbRRkfORdfX5xH2bXhiIIxirqwLp+462rgeun7NON+8NHJgIOrhKMcELJh60t/X6seM6tj7AzQlSgbcK2rLD1Jh5Tntv5WwOBtiZUXeK+54irlUF5ZqAnUBkRBcLXk+1ARhSqDRe3yyQoDg/7XB+3JNNUggsvh0uWGrEN+d75Brw/t0r/sHhB3z75g7/7qsdag5WJsf9Ua4R6RIQr0AUaUrZHhiG6smxlT7vStIQjpeX+4QMDB8IdHkJX9MhAn2KEIVZ+BgsaNeb9VZfO3y/PLRe4vMcofuK3CvK3nRVngP6Z9qlfNqy8DY2tkjrNOPBNTcPgCXg/HG/MaagX5Mq6j4gC+2976flrkJ7xdN5j//rr/8bTDnhu9cTpiWhTmQZ5b2NyVDx71++xG+6N6gaUJVlnF0qmHPEMiYKbxmgE6YA1Q7di2B4rij/c9GVaxeQ9wHzHdGeOsCCP9t4EymvIQsSTPnSkLNgKnjea7XRTAB438z5TjC+Y6PpNNmisuCJfQBDOyDjDBy+nhCWguW+pxPdB5SaWiYAgWJBtTexpUmxnALyLtw0aY4PC/7giw9skHzZodaAbr+g7mxzTWxLNH3G76U4FRd+/XHA5Zrw2xIw9Bk/e3jCqZvQScEpjhhCRrAMbxgD0lXQXSgJ32olDW2ntDoDAQ2CsvPUJcfB+6nWSKefdRnhZo7UhE5QgTiWRt3UIKgDDzA/yJ2KpWCRd+2JEMaJVNV65OGRznzmmyyBG/6AlpVxWTbJFSKCdKmNohbnzTX9M83BkdXJChtUz57d6cH8LHuM6VDZP3QJkGuERsXdgSjU0+ueCnaikEBKEBJbPZUdHyIf7NmuAZ+qcWogxTofPGCyIU2031TRQ6sDk4rWLiRM/LupM2+UDdUyISybWB3Cdi7b/wE3nGFT56cIS0D14MtqkcImTeaIOeCHN7+rdkC5K+juZry7v6CPBcduRq7BxIyA1HEaljmhxI6H9kgKEr8QqCXih9cjxpzwV/vP8NKR0rkLCyoEr0uPaelIoVk8gKOY0XwKvCfrAylpBb3iYkFrU0yuFqStAa52BK9I0a9sSdElm8NiVKrY6r/YQmvdSw7ytD7Om8Bm62hrO5SxBjyqSNeKMK2gEYNUtnHqgql2xg1SXQBkNlpvzpg5WPj0GuL2dSNUMphKbeCabyCRsl8oQkWyP+yfq5iXhDpGHhaww9EDzb8BDGG9mYvEURyQ69sycJbt8nZLcVbsflzo5CcCW/kQyUbYKGD7IbjW5LuwjrRaw3SF0fqUbZrgwIQ0QCJdZFOiUgk8TAvkOiMcekjuqJFlSHk1IEuOGcd7liz89PSMCsE3r3e4zh1e54gy0ylwPYEG0fu+EiBFAjd/ef4MX8f7NmZfXx7weNljHtPaKcCDNTV9CvDcEVXowjMwzKWde7Wn4xzHTNG7yuCm7jvMbwcSLl4WhFyRLgvidaUuNzZHgGWtVqfdW4ZpE6BYHUgH3ghaCOvmm3r2Gj07SygsLJeoVZCYq21nuUps2Zdotr9Mqz13cCwYW6E7e5mG2dFupZi2M8iWTzdkvL+jilZV1iumyCy8iCIG2vflqSdI5PoNsGtHge56SFid/7wHhgWIr2yvke9oX8qen++sjIrsI85h/0zwM+SI0m2YagZw1UTaaBMctN6kXmaQLaPbPzGjlncCPXBf9WdtvpCK8Ltn19ZgoOAingT8SdH1c1EDoIPicDfhT97+iF1c8K6/4GXZ4YeXI64y4O7tBe9PZ3w4H/C4O7Gzw0SnX8w+jOcev3p5i2M34/3+lcGuRARVjKXDODO74sByGQhSxZlzLaoE6z1x162A+2pX7b7FHFAFgxvbA2WfmE26i2SXGThOJhsndnoIGD8Hdh84Vq1LgJqQVCRLrT+vASV7zjsosZ6tvhfSFY3lki7Fgt5g8yrQzt+zghUarZTL5mHbu1Py6he47ZXMAKl2rggMyDGjNzA+CGmhw25Blwr+q/ff4IvdC351fovvLneoKjicJkypQ3lN7GerBETiWBEez4jzpd3D8PNXTOce6SminArkfqb/FBQ1B4SPO/TPwHJHMa00Co6/5Riff67IX2gDCDEFtsxaYO2P2BYvnyqVjXcFek04fB2QzsDLP6jQh3XPaQ7QhSnOsFgLRxOsExsbqUA+AdmVqz3QNYDmYT/i1E1Uo35NKACC1UDvPrtiuY+s4ZwD0mnBH77/iOdxwPO/+Qz9s7AnbQ/UzwQ/2z3iw3LED89H5CXh+MUv8b87/AWGsGAXFzzNe/zu8b4JiIUxMMB6NCDS6PnzG2tVVQiQqdGzaw8sbyp0KBB0DOotCSiz4P7XBf1jxtMf97h8yUReuuoGjFQCozWg7JR06MSxgAq6DxHpnJBPHS73A7Sv6O8niqGlghAqPnz9AEhiAufBnKtNZxgf9+6Fz7Sc+DsFxz2MAel7A8QMfMj3BbLPgFaUAwgcPBqr4fMJb+8v+OHrB/zHf/XHrcWWRq45CKD3C+JhQQTwb7/5imdrYkvEQ7/g2M84jz3kJW18RhOKfArY/aDYf7egTpt61r/j9Z8hk+uODOyw0g0FlZO/HG6DriaO4XVWJiJSIw0I6Sb83tZrLpk6Z2AgXTugTjD6nQsNuLiKiSnJGoQpzBFo1wODXt1kG+oaeC1zwHXpMOeInCOTbZEl/TWaUlxnoi8FhtR4hgFAESwzh/eaOwRR/HZ8g+e8wzfjPcacKL+9QYIaPdHGRwNaSxh/vlZv62JH25T9tnfvJ3OkQicGdoj6fapnP30Osf6+jd9m3lozc9lkJYGWrfFMiljGXmUdX4W2a/Dg8vvzw28VkfH78eBw43Px80aNFqO/SAWpZENhbGr0tj5lZnuCMvsIcH14m5/Nhm/XLABygeRN/bO/x+cruTOmjIcNOJCqraYKFrA0hxO2DkWbGqwHG7Wz/nsR1q5lRfUc0AhFrf4MN1lRn3tve7MFdNyB8JpRp5Q7va3WgFIDFlFMhVnuaActv9Zo9dFEqZKtI/turZSYv0iPb8Z7XEuPY5pwCDPOucd17jDPsa3TVhfpQAGEAgoChIoWkG+fa7s2WwbX16i1F1FY4Ltd+7dmB02QLq42ZrvvVD59v421By5Y7UTLzPqS9mCo8j/B+ny7MxcSmphIQ/Xzeu323fl2DHSTGW3rz+qhJVXEVChgFShg5WIUVdm4vVr/Xd8j8snw0v5tEFEPghPXeB02pRMBcLEb2g1H4m3PKhBqhZRAwTunCWPjUFrmxOsBAWbKpWJtwSNA9UDF1n4Dw2S9b8lY18eWvWJ7J4a13UrJ7DNZ6lo60h45VdSdWi0YUf6wpf8W0mKXQoP343hEFwp2MSOFQop4DtBiAFQDsGAgx0ZwqwhQrcb4Zv9iLacJAdj0HhNFYzboZjy2iso+ByuzB9wXAa0m17MoPld/jSIMK4m5UYDfvM9LCsp6v/67uCjqxICkVDWweC3pcPC4ZSkt2+dqt20v2dpyRhgETUQtCDuARvW5oP3KRaCVzCoHDbdMGF8fW9ZC68spMOBR4cG2WB2s5DXzQuBRV5vg//ahCdLOWQ0EppZKtfYmdmTz7G1Q1u9C80PW/2PVKLD5vc3yAmz5tp5/yIJ5SvhxPOLYzdjHBYsGDF1G3tOuT5lUZLbvCDyjtlnvHHCeehQVDCkjW4alxsDPWnuQrdBUY8p03CtpWkUVeXwp171YjbxlFtfxWOvhtwAf15uXYpnNNcCGYIO08grAxkZ5JldZ/UbPnFWsvtXt2YkG4KVpo4Bufmwom0B1M48eyIcF0ALEDrdrbJE2p40g4ua2rmtPrH1KCJV/AAypoE9MhuQakTUacClri0s/D258NF1tIrh3kKrVklaEqDfbglR1Qd6TFqspoDsEy9KaDcwCRWDA87pm7eDD6CGAnfHsnmH3VoWsujHSDzG/SxP7dnOM7XOW4KLKvSXNOmMmLYF1muOALh6Rc2iH77QkhFBRcoAWQegq0Bfs9jP2acGYUst+0jZzDK6lw2vusUwJdUz41fkd/n+7P8Cvx3e45B5TTkbRDUBUCn51ZI8EcM62az9YGUYZAO0YC7nNl7yy6OIEyAIsexq7MggByoHgTTAg3ufY1ZwbHb7jHGuI7blU6PMt1w45RaTTiF0qTOQ4oDmGNTaDJVaCIihaV4nmg9j+JmUbbV65wWA94c232ICKWgRzjnxm5UXCbGNkwEVI7KMbwtq+aSksj3sdB5ynHsucoLuK0gnCNZAqb2u9JkE+RpT49wtff+8gtww0QmkElnvBcsdMXf+RtKHpLTB+Tn5/96pNbn+7UeKiiKNCWnZMMN2b428iUHkPnH8qllGztLsdKP0rsPuY+b4DqThtMQY6DqFaPZQq0sUNKxVGyYs32uBizq/0+La+gaNeEiuG04Q+bVTzBBBrjVCfOyrXmVMUxgCtPaY+4Yeu4DkN+LPffYk8RYRUEbuCkiPqQMudd8wkpFGRrnzm0gu0AP0TWw6EpTKj1QXkfqUfr463Odb2Oze4bLFh1FAbd6cGNifaAydgNZxbB1+tvuwHE6I6AMud1YHYQenBUxopZ1/6APQepFdsVQa7S0V3wYrkJ8F0Rwqx00JdfbeaQ00QxJ2+NfsfJq6FuM+4P11xHXrMU8JuP+Pt7oogirlEjEvCNBGJ1iVAptCQIgCtVixdC+T5FbpBRLeBDvu0bYIvhRlkZrxibwjuoqbYasJETk/qgmUPpVGg5wdZFQjFDtVAA9EOyCxIQmPaTVbbZ+MRMrMsa7CrzeFNUuw9gpoipCq6Z4HkgDl2eE47hKB4iTuIKPb9gt1GpEuEwlRQsP+fGS8UQZ0iphwwjx3+5fQzpFTwxf0r3u9f8VdP7/D44QSdQ+v12LI1kfRaDcbQgN13c+w8YOGadhXa2kVyJa11ksaAcupvwBEPLKBoyr7BxNRqkgaWlX6lz7WT38e6+prXFRSovkZuW9u0e1UglAosYPYFQN8Hq7EJBPu2Ton93QTMNo7TllqKbd2goEn5D8OC425GFwt25hD562UccL4MyDP777VM+oaeqiJUQf0EWCgDHYzlpKgPmfOcoild2l7PRLS5dhPX1EuBzKw/9XlgVkWQBz5n3q8CWk6Lcqcz7+hAhUnQnaXZNK7d9d+wunMX2YMIdN83BkucFIcxW0u7CCkBKglX2SHvI3Ydga9xIdC4O87AccZ07ZA/9qxtnFZAKIwCjRGvT3tIUDw+HSFBcXcccbeb8HTdYb70pgBpc9oDq3w/xRjTaJm5pUJmL4lYKdfOXCgpoSm8CxA3YoOaAhkL3g7IXnVYgV1nCeReWtC4XdNOd71Z9/bqX9mO5NPSCRULgOcC0bAKY1mg271WpHNtNF2VlZnjWgTbcypO/FwejEkhFqD2zCjV3pg5fTUVZUEKBcduQtaI69Kh1IDLZUAe7QH3BTUpiok43gCjnwS56Qzo0cuUFC4CpIEKt8VEgkIR1CssoCJQ3oIkAzOqC3AlKunX3mrxItYyGrgN4R7QSB2Q/pm+UDThL+8bSpYZ5yGbKBXtjp0rM8Ekb8uVzlyvue7xn156xNOC65cdhkgmWb0XfPNyh28+3EMApK6gRkXJAkhg7XUVyBjx+N0dpC84P/TYdRkPuxHHNONp2tFnyTw7kNcsSxl4hsWrYnghyBcybTT7misDHhEENVtRFPObhPkU2B+2hHZWekZVA//vbIi8Y+1yHIHhI382vgmIi2L3sUIKsGQTqOyA6Q1tQvfCvVTsvF3ZUFyTcVLc/2pG9zRhfjPQpvn5UbRRUNlSzea7d3aLmt1Z176/fJ81ZoLaz4JAu8rA08oxulhwN8w4dDN+sn9GEMXHeY9fLW/x4/WA69whl4BliSh5Zea0Eq+/gZlTqyAdMkrPLDGUehCwM9z9mPnnM/70D7/FD5cDPhzfIEwBYRRbV0Z9fQVOv6OQ4/mnobHaCJoJYHTU8UsybLRT6Dlh923Cw3+sKL3g/DNec7mv0F1FfGZLndoB1y94bhx/EzA8Kl5+Iag/mVHPHXa/S5AKPC5v8PF4R9DEqNDPL1RXrq8dJAt2P33Fn3z+I/qQsYsZpQZ8c18ARKNWM0P/F6/v8cP1CPwwoL8I/uXyC/yr48+ajkvJEfWFrfPiw4JhN+NaT0iXVUxMA9lO+aCI3wZ0LwRI5jfVMqECeU3onwT9E+1MeWZG9+lPAoX1zIbO90D54wIpgv7HVb8gZNrw8GZuPZSrCvIDldProSIcF9Rzh+EvB0CA858qDsMMiZV+6QjsvzPas4kO5pMgWwLy/Ads/bP/jpo6y1VQ9gHaK5b3eQM8AeElITxFs0Vu660s6KXD80RAY3rLWDBdCUBOdwo5ZOwOM+72I97urvhH999gqh3+39/+Ak+vO+Tv9xh+jMjvC376J99jKRHf//YNcImtBGZ8D5RdQr12wH/315b8X3v9/sJT22AIgAuLOPJWdkDtiahrFCB7TzVtxqBlKS37C3DTlmFF4hCAYtQFV2qrSRpNxJ39VU7e0a717+BORd0gIUAL/oJBu6RZC8oYG1UCQaw9B7NcOSqkKY4FFK+9y+szYaHhWRZeJ18S5JwY2J6IejjtB/aMAFpG2KX4m/P8CXq8OuRrwOVO3/blmcImiORj7gf1BmWET8Gn9lKwZgQFUKECqxpC6/ex0oKU9FMPvj1waQGl3tDpnDpXgaag6EInDIDAejnP9um6xkIRVBuDGKgQWYqgTwVJKoJQUCOXgAlozb6lOApl4ISLd1WF5gyUTSb3E+S6Jn9mOgcawSA2AXWD/PKzuskC2Hq0fVIta1H6Va0PAFxJejsRwcXGNn1PbrMAnmmpNrd2j6baq5EooWYTJZhJUys5ogjra2NUoF8Qhc63o8ZiCJ4E1u3qHFiEZIelFsVSO+QY8ToMGGLGuCQifmWzmDaZXI3COuY1Pr1Zg1ta9vbFWs7b/6srJnvm31qP6DZjZg6Z08Kdcr4FMPzVMrWbANfvxVXE1xsgTwQOOth691KCkIRZSmCtg98MiVhGe5sdasBLtTXgjonNawhsP9RF1s0FUVDo34AtFbbQ8hpFq3faKoc2Vd9Ps+eC5qBLqrShKbD9mNn2ljkMghLW0oG2BqvZNLufGtdAQE1h3+se29ja2nC1en5U1vvb3ObKGlFoCH/NfrKesSJYf72wUAwmJ4JdQYBamR1IqdA+5ICls3maZf0+5R6qi1lPW5xj1yHFimWJUBdlsTXmtPAQhGfIdr1gs6a3TCgoYM9iK6o9D/9hQWtYlcLbErTOAWvmXJpjfZO4bvbXxnfjvHj/8zBXOKXUAcibz/sa367hXBEqoMlsamA2flVg3oxlXe1jYwls5ta1EmBn7PY4C6IISievqjDjPzPTIn2Fi/lsr9WyDJsvirOimrjUKlCGlqlgP2BZM7m+NssKaPmcNHbIJutbe221uOv4Agpd6/GbYOR6/ZUR5et7zXI21ttCmrjrAQQPwhax3vERJSpe5x7ogbtuRAoVqveoc4TEiti5EQAp+j6ZBZApQCsw7Sju1UWi33NmtoVCcFubaM/cgUD/9hXW8WozowQtZamQklZmgo/rZo26rXVGl5eWSEWju2oHaGN1MVvc6kU7NPAaoLjT9tUA8wwqE58nyP3QfMqm5myAbIjm8Cr3td+Hn7fF1n7bc349s2k+bi6mjpu1zUB3Fxe86S4oCPh2vMN56THnhFzIRqklrqyRzXnx11g6YJArXUVMWG3XdlkmBj1xKHi7u2CuER+GSo27MTbGl6vEE3hAKynAZr85I6B6Ha7dX5iA4amiDILrlyZwFBXSl1bmIM3m0walkWvaxzCNNh9jQEkK79ULAHWODXiVIhABdnFBkoou0LYjmVihC0kBeJp3OE+9UacF6TmijgHlUKFHsBf9HNq4hmAaLn5umbhhY45gnQO/jlzD2mos2/uqogQG++VQES/sqaudIt7PqDlgmXomXM7SkiMhloabigrZdZ0CqVJHBaTTqwDTQoYe1OjsRUzBmXYtmKZGcJq9Z503ZYJS7UddXTWEvG2Y+Y9hxspsBKzdkPnESZvyvZ+ZIdXWLujUTfiif8Gl9mQLqmkTnUkBv+snLDXi++0+MhZk3lsN/N/j9XsHuWxdw4vHURBfKd3hRezMkkqr/fFWIS5YAXsAR6LccNaB2duyZ1PqOij0UIAiSI9s5dP6b6kgjdHqEngIaHGj4vRRgL3YzAEVBo6agbAEdFe1LA//jiMQX7jg5VQafbPVAcWKPEfUjwP+RtqrB48KLNMq1qA9D5c6ksLZNqYX3Zt6tL+kCPqODlpAbWMYZ/47vc6QpUK7sNbimgFlf0AGAKXfCCDADoZIZLTV9mxUZ9v1N4cFDL30INjBCYCLfnhmi4zuZUGYC+IU4aJJ3gePGWlYO40KTQFlCAgzVVIBtJZJ7vTXXqAhtsASQMsEbQPk5cOAHy4J3WnG3XFEFysepz0L2ucOS4lYrh3wSq5/HAlKeH+ybdsjxGj68fbfWRudUs3YOR2HjgeMMreuAa8/4/41h68Lrbd06VY1zbLfBLkCFDU6T7VgdCHwooGtWrqznZG5mpOo0C4QRJoyAQTLMoZc24EYd9bO4tWyEzFgrgPl2U8ZNVVcph5LLCg1kOYNBtht7KGoLx3SS2gGUpNCd8yCPL3scZk6zBMVrm/a/WwphfC5856naLQ/ccXlsmYFfWAl+8+4pkJhpsedpeqOuZDVsKUme+2f/xsgEh+NWl5lQ+dSNJGYtSTCnK9MdeLW59cdLL/fm5IC1sLHsQBRsBwSx8Ac3TivmYpthkgD7VD3SrCw7AS1AmWMWCpZKkuXCVA4OKiks43XHvWSIGNA90xUOF3p7MWJmQvJConh5rQIs7JtmGVhy4VpD+0qkACxlhgQYLF6wjhrA0MAz0yHtU4tkelQdrRtZc8AoNyzqD+MwQS5AgUwbD8z62l/G40wToU2PQXoENFOfRvzOLImuhpTJ06K7iy25wLq0uEjTgjWu1UC753BbkU+ZmgOrPVyuqHZwfCy1UMAxhwwpsHoaGFtBYL1M9KEpOxzCVhOCTgkpLGwhjsI9y7AObHSAmffoFrQGK1XdgqbtSzrGIi3WJNW67YN7FbQEGuQfQOm8LWcogWiZts36rOaAqCK9LpAgyCfOgbzGUDl/KSZTm4d4iYwkTUgChSM1IC29ksf2r4M1mYoD7fR7zV3OC89cg14ueywLHHj4AbgGhBnQf9EEcfuRdG/Viqsf7LOh8eK8Q1aNkoW1lzGu4XBSuV6Ya9OUwwusdkqz+K0/sPbwAb0f8qxwumRPtZSBfgY1tZJsKzKHetc10zm+tyu3L6etbYPimJI0vrNlkEwVwMnpoCPLwe8dgMeuz1SLDhfe2gRaPFx29TkFvD/Zv00C5Z9glbBxxLwkgou5x3qcwfvjwvbI3FCA1PKwMzqVjgrWGLD3yOVAoohBsSp4vC9rZsXRqLl2FEp3caM9c2R43Qg8OAiRXFmQKTC6/IepNHg3Sy55ojvCw/YvLY2Lkq9kzcHQFxHRpGuGd52UgP7c26TCtu/HeiYT2xNBTU7az4U4J0Z6BeEUVA1NJpvnzLuuhFBFL++vsVcEn79+AbXqcMym3BPJjAthVnWMAv6R8X++4z+cQKWfNMSbjr3CLUjFmNdFGKk8napAS/ne+AiqB8G/PP6C9TXDodfJrbEOVKHpdxV1H1FGAPmN/SJliMDrHIqCMfMLgHWukt2BRJr6wgwnSMu76OJGXJehh8i5NuEdAW6Z/pS3evKxMk7Qf8IyL/dW4tP+vHlruDw/kydEBObSx9Zw12/mJB2GZfnHf75d3+C3WdX/B9/8ee470bEPRMfsqc6eFXBL7/+jKrtR3YJSGdB9zFgHBRv3pxxvg7IP3aIkwCvO8y6Q+qB6bOKeBXsRwb/x9/QN9FI4br5jkE8RJuvzHZooK89rOMglfX/3QvX6vI2IHQV/R++0uZ9f2Dw3QHlteebspUfOVASFTFVLF1F6S04vSZ8eDwhfdPj+Ct2vXn9Q/oph69pG9X41vRp+H1552uUMZfMgvi7gWwNE0iTyvghvgCHr3mWX6IAA88gzVS3d32e6bNCf7mv0Cq42034R2++RVHBfzh/iXPpMS2J2iKHiumdoPYVv3u+xzh22P22YysrL2Hx19+vJPc/Q59cO9ykWnbIHPGaaODiLNYgGO2QC0VvD06jablwAeB0EHOIrPfb6eGKeU6ojwxSEOj8hUx+O6mmtdU/rpS/FdU2HSQig0Uh0ZxWpwt1zNgG6+lZ+7XnJACrUQRCrNDcoXsJdsBYcfXN4BBVrEts94RoiImrndbbsdGA1t6H46tr7aDKml0opAKFcYFMGbrrULfTGfiwjrixcbW0QfGMd3HBj4C1l+sniGBz1mU9yD9FyaUq4rUgLnUVT5npcCKQLg1hOyMUE1iZM+qQoMn68z7PkFpRjj3qsK7mUgLiEFr2QYXZo23mAhWIrwE6CsqOtJ9cAy5Lh1Klcf51DkgX6zFpbaJILf4kuP+E3hbnepvx89szQ9acne0CUNw4K03R2uh73nuxDCbq1fnA8jlLMGfxHGhoxcWb+J6WFSmVzmRkyyApCqpRRSAYZawqggVUAGteHADSIKw9GYgGLktsTelFFCEAaqmoxsBceCjUzjIexQx3FSxjQp5twwW9GceWWZLtGGGdWx/DDTsDQKuxaqyAQCeUC8QcCXfqbc27wi7kNntbO7c5vnbdkWR5gK9vsgk4nqEFuGumsmUOltrEkDzY0G6zfpStzMKYSTeN7IVZEaAdLCOz2XSC1o82zoCOsLnnfTtaWoaIUgUFJjwFSyZXthaSJSBM7GW5rnMTEMoWkIsQ0PFlvShqa39DJ1i7CuxqGxcxwTnvLRqoQdF+70Jf2yCgDMKm9nvln2PF8HaEqmB+6YGFgbi3uyAQinavcbZyjcXSIElQdqTtNhVatbIARauF5HOr9WcmoJhTIvPmkBFRW6I4xopuyCgpoMyBfryutZB+b80WzhGQ0JhGTYHa96avbW8ZBM5f3tkzVisxiGKiVEBcsgXtRj9UwOsQfa9u/+99RD1ILd6GyZkStsd8nzXApq4/83sBOF9lkJUeXjYBMfidYSGQxv3X0a65kvxSEc8TqFHRQYMgWN28a2DUPjLIFSBmXdtmbesnxQZaQJQfZCe8jgM1BOa0tt+qQjr+ZD7AhUFKd6UYj5iI3dYO9a8FI+zcFgtyoyJ1GTFWXIbI43mKzMgKUEbavbh4YL7Jlq8YHPdhhDHAlFnm1RRAX/tm4x0wcdHLdF3XcwModJ0LqLZ9EEF/p2bWzIbFhbMAWVhCkk1TJISKYqI/qIDX0rlKrtfVud1TFeSZfZ+rjXe5JMQLgcXGgrEg0RlJmhiIkqnF746zNIEuZyxoElQDpcJUEMaM8HoFUkQdEgWZNvsgW+Ca92a3r4pojKk4U4RrfpBVid5Lm8yet5ZojV4LAzA2dbidAEhG569sT3TJVPjf07kL81o61vpXu8q/7ROpOyxHPnt30dZBgcs4sP6xcs1JAIFyUURRHNKCuUY8zztclh7ny0CV2Sny/eaXuj2STNGy/mlGuMxAzsCmJRzGCBg4JtHYP6ngYU/b+xzZHzW+Bug0YPcScPya6+/15wLdAfVYsH9H3/u66xvAAQCyK+j6jAUWhAdF6AtSKhTSChUvxx7zPetindbaPwnSq5UqTra+H+nX5B3nMV0UwxOabV8OvN77uzM+Xva4XAbUKuieCVDpfsEXD6/49Yf3OPwq4YI94h8pjmlG6li+0g0Zh92Ml9c98MjgX3cV2gPynJDOACrw7nBFrQGvmedG90ww5fITwfjZAhWqZUlWDE+0B5f3AePngrLXNcMtrqGD1p8879wH4bXiZEJ0R8GcA0Jf8AdvHzGkjH83f4VSSQmRKZrvzNihmhCl13NLpFAXMiBTQJGE3aPg8H3BOUbkzxfO3dc90mitpDo030ADk4bM7vO74yWgf6T/v9TQfCYN3Pe7jwXLkc9NX5+gsavol71CTwWh8+wacOon/GL3I35YTvizly8JXDoA2SnysQJRcbkMKOcOhw9sZVV2dr6ZD1c/kcz5216/d5CbxgLdW23kwmwukWm0AMvpy+6Ter3Gmr2lk1c79v/b1sppBNBV9gsTZfbiWC3LsTaV/5SuEebaaDQIcuNESjHhj4YWeo2wtjpRCgkBmgTza4fcReQd+8+1awwFy0NojghAZ1pM1CqO7BNY3BGKtvgN6UCRxrt3FDSOdMoArEXnEahDgIxUkfXsJ4YAYIeQ6w1i71lc7YK1WECrgaqdtECDDo0dHEbHChnorPaH47dBlA0MEEXrk0jHSa1eL1LhOVsbgO0teW1OWOvJBDZv1iqDQinutGlziqIC/QszHrW3Fj0SUBOzmni1DPidokRBHSO+fzmiFB70MIoVKhAusQW07e/ZnX+sjIMYb5x/jiEdKLW+0Fuk+Ia+au/3eahdgESu8bRUoBoy7bvP90lfgWT1rwApH1WgUwAme6sHfUkg1gYDG3o3e59WSHGjEhq9iz1G+QUMdpkpJB2R7ALNgrkIlphatqs9kgqKibwgKZY7l7QnwMOUKZoTAVhQbNlcCqWEBnq5Y+0iXHH0mly0g7Q56jamUhTIxlzoHBzzwNaz5bJSgrcOqAXPbf3ZdVzEjECX3NCkKcKzOmhE98lYYDaFQZdaAO5Z5qAmohYDnLLX2mYslZS6ogiZmbFmnwxQEiuvCNlAwkxHNGSFTia4ExOecWjLDUqBJK0CXCOZNSbwIxbs3fQvzxVaK1BWdKfVoWZtbAfNFJ/hvRsd1eZG1RV5dZ0L379bcMMCr9oD5VCp1gkGMHFfULuKegmoI0G3MogFPNqAIZWA0MSWpNXLfQrK0YGloIYrr6YLx78MsD7KYAuaVCnEY+BNCAqtihLoMAQ7Y5qD3AZ7XfdtfQudGMkKXNbSFbaCo+/p/Wel0tFfTrdHsHZh1dLaBJe+FgFzxiNW9tBmbWmibd7epxqBiWU4q4L/LV1S1sDcsnBxrHAxEiioBp3rWmpSK7rnmcGunSc3c2FrQGye1DoAaOA+Dmr71dpUxSvYw9VV0KcARcJFBsu2w+iagQyDRVg7OJsyqYE5aVz3ra9FuYyQMq23FgTpqhge7Qw8AFIiJtkzmBmtjt3b4cDH1cCtrJQGiGIZK1hHBDJy6q5ChoKQFF3PhaAK3nvfmWIvs/PtXHUQzUsb3F/asFyoTSFAHxvzLeS1JIMKrczHLruI0pOOz3XNLKCmCjkSSdCzKfSaFoavB+/3qjPPWYn1xrbHiXOdD3Q+42RjZQyMLQW9rTcDVeh3BAN/yFaooWNJRBcwvespxrPx6ZoA1KLMRkeCZtTs8NZ+vD92fmBrFtd0aSVQG8e47AWYFBj5u9oF0kKL2ce6apbEqUIqWVjzLrE397ig0dWDkOqt/Gz/yjFg0mVNKjQmkP3BIsjXiFF7fDQBwVIpeppLYElcX1GmSNqwUURdPyYs5jvuEpMe+x39AXvtf5tQvkgox4oqEYtRdR0UlX3G8iCkvQ4FGjssh2CdIYzm/TFhvJ7YuaKvFD5qzhuQl0QavLfOMXGsnANbYAb2pCZDh+OkwdlrAjnyedKV13SxRu1XQaRorfXiNz1+Ob0HOgbTbvM0sI/r62SaCgDCJeBffPcHKFUwPe4Y+A1U8d0fJsyJnw9BUasgP629Xx+ve+QakN8UlD1jkjiy1jYdMnIVLAe2buzOa7DevQAQwfIOtm4E8cL3dGdFKWsSq3sRxiZ1FdXFHLBIh98936OLBBDknWJ5GtD/aGxQi6nqXUZ3WKAqmMYeugSUnom7OAp0IUD38gcRywmtfVLZUeCqtcHcuFjuL6WLINqa81KTdHEAmuu4RuDpjxPFhU88L8VEBTUS0K4RkNeImgLklJG6gpd5wL9++Rmelx2+O59wmTtcPu4ZxA8F8nYmm+qlg0yBPcuDNEHCBpZt7/vveP3eQW73MiMfDgiJC7E7M8rOAiCuyI33xAKMsjpX6DFZYEWHcYneb3c18JoUYVcQbUHGWIG7BaWPkJyQLrhRA/MX0bZCWlu34RGZCrIsBZICRENzOGN1CW+vm6EXULuE2imWO0HuyX9PXUE/ZGDI3CAz6yQ00ykM18ANIzw8a1LUQ2WxfEZrdeCHqCayqbzlEoDmMFKwhcFjvCpqo8/AJMbpkMTRqG/mbJISxiA6XY3uMdxmZfOBh63z6uMIDI8mcmFqcD6uaVIMHxdAgeUurQeR0RLyXiyjH9u9Awxw43WhI9ZZutsObOSK6Nmv5P1exbJzRtuaC+JlAYIgHzsUE1kpvQCZQmKkNFlm8Rpx0QOwsM5CNhuCB7Hc1Ek053+2w60okCJkIx/tBxYPZTR0znuXrTWwa72ogzzFqLb9cyYlS3ssp4Ct+mjtFRgq0i7j7QPbZbxeB+QlIl/iDYihsjqyYRZgAkRNgGwpkHmBZBOySYAowQPJlYFZDUjJKPzC31MJ1ASxpgBEoPQVtS8mvEYnqV4T69KSIr+hoySmfMeb459WGi42t1EtewBSUH3PCsVnQjSAZ67rvG/2gAedyBVhzqixM6cEzXFubYGsv/M6XiulsNWCVliLDjQKYiiAznrDUvCsiu+XOJGqKdmQ/FqhfSKNs1SI9yjM7ImqfSKLASAQpsyCYWGGaxX3kRYocK4r1Gqkqx0apDiu816KIC9hpQ9Waa0dfF/GaXWG0kjabxw3mdxPas+dLum9TNPV6IFGrwymoMuMrdGjo4uqSXMKmZm3TIxYhqUnKyecFoI+wiD3cGRW4fWS2IItk8YfoyJNDG5qT0dIo50nZRVac+e/Ka+asBHpyqHtzzjRRpFZYqBOJDV5DhSAibECCVg67vWQKZxRBkU5qAV7tHsawdorYZCLoEbxX4FFAK1ViNuGcKGdqZ2gHEjtTNcKhaIYg4Uig+7hcz7jXAiIaCTI5kHEZvsVE2v0LHhjMVnAn8Zq/Y9tXiwADqbI7pTmOFVro1IbCC1LAbLzVM0mXhg41vs9yiF9EpiDe6IyyK37hJLo2PHeOB+uF9G9skSj7AnypCtQZwodnafIaybui/AaW2AVZjEHU1fGwoaaHZYKfT1D87gahcDrSba2Ge7pPaXVjvkzqOF3TUyM44MQCLh6Pa6p1JaDQvcF/S5jGBa8O1wBAGNOmHPEx8OAcuZzTm8ZSOy/EaRFW/AjlUFXW+cAz70oVppEWyJe3OlB7sTyBilCILUKcASCKLQExFFQTsDd/RVVBa/1AMxea46WeWbqhjR8rZWaB0rfIRRpwcD8rkAPBen7DnsDGRpQbGtXDYCEMxoExmaQNsa6AzR0qL3g+llE6Znd6q5ujw2UnSygOYhRM2VNBJio4f5ZMTwXXD6PWI5C1f68rfUExjfM/BLcsQRAz5sN52ICa+v54xnn8f2A+c5Kfj5w0DR6eVUFiiKOBcOj2d+R5RXLMTGwdyEht6mqiK8RdQ54rdRRqFVQrLwtdQVxWHB9TbS9CxCvliG39kT04yJEO4Rpj7qpi37z5wXnKBgRUBTIHuQqhR/3pwlzx5ZFp92E77s75N/toaOpKF8F/RPPkektMP5JRuzpj4egmMYOZYxk4oxWFmIgRFVbV1ExmwhR9ywtkC09/XvSx1lmsO0pzBIdNPaaVOD0K4H+rsPlJ4rlK66nmgwInSPO16GxE7pXwfe/fEtK8DPt7HwXkWLF28MV7/evqCota/7rjztk63379Eoxzv3nF5b/nAZgCgj3C+5OV7yAPrBGjk+aKBobFwVCwNXsSTqTitw/K/qXiqWwVSXbqPk+X8smwsgY4nU5Ap3i7ecv+OLdR/zZ5SfYfc94aXqjqDvg+PaKn795xG8e3+D8wwHIQopxYas9WZj4Gb8s9MsvDHLzUbnWK25848ayCwzA48jxz0fOSfcKax+liDOFgJ/+hKJUnrTrnumDLHdsLSWLoHsyoOOY0Q8ZL+OAfzN9haVEjGOHMkV033VIV8H1jwq+ev+E7z/eQb89IBRguWNLWjfRcea93WhN/B2v37+FEFbHqGVOsS7UAA/0VsdRBdZT0b4jkG6z0hFXVBlFWo3UPBNxcWMsdgM31zVqG6kRsf2sHQiKNaAyh9JrvtSyPJ79ZODDg0OqsFl5EapWeiF1qDT+hfLlyKFlOurAtitNWApoN1o7NREXgVY6e03AyJwkzzY5sui1Ot5KCC6vX9ZxbYi6fRZY2/I0wQDPZlmA5fQ6mIHxYKBltJrzoy3YcHo3wP+v4lar+JG/vHev1+cyM1VJqY2x1RI3qmky+lWpgNH52vfZPQWjQ63XQHPmcaXUvs9fy86Bc7nNbm1rcuJs2Qt35DaBpZRKB2pRlIUZMtZ8y81mCxbABQviboRPgjRl1FU9GC17hiI84LZtoUyxoyHAi95+NziXTmUDQHrS9v4tAOD1dN0jCIgLUK3MIEx0jmpFW4caiG43UaRwi+Ly+lxDzlSQjq0KtML2if3eMh43yKGtj21pQWNGuKDTVhipBbWyruO4rp3tq/WRVoVuHKpGK/27Xh5UNwfLx99U2jdiQK2ncsXtvaoCtVpAv2Z5AZA2mNZAhV6W0CKLI/TM9gWrpw+z3VfdrDkDXaSIUZ9M/6CueyJODOgd1GGpg+1nETAVZcObWQdbze6FCZAtjXvZ7B3L+K2ZCTIJtpldn/tW95OF/RlRyXoRmACUz9nt+nChHZ+PJlTkQKWigR2sKdzY2uq2i+OrssmKi8CFS8j0CKioEAkUj6mrU+9OlJoolW/P2tf1O2wtqDEWqtXbN3G8rFBbd40GHMByGVXLdMmNneX0irUU00YprR0zXmRPcIi3dNl1jLiQvd6Kv7R1kQFvm+NgznZsaWd9fNTmxrOWK6jQImhVExLS1e7Y/pWlcO0nBgcKtSy01Vy7XxAEmrWxm0QtwyiCKhFsSRW4zq+yBrnZ68w512niGDrFnaUb4RN77ll+YjzeurDZIcuWoDEbrCvEjJaF36pZS2ZGKGRBXQBkE/QzcL4qW2vMOTX71kxjFWNOoJVD+FyxtCW2/zd2iv3AGL1kmEx0mMuGYi+ZAVOONAi1V2bk2kBsHCiz0WKCMTIFApobwFp7JTCyoebftDHc7Dt/eX2ug4fNmQYBfO8f3da7+TB5t/oyW2B+y0TY/u2P4MwPYAUM1n0IU6eWVr6xLSeQT+x3s9kGpDkg2uao6Q8wsJNq7Lk2voDCadsVcbGyk2CUTmUWOgAoU8QYe9qjhQOUQ+L8nmOz7a71EceNTXcfbEjQTWsVT0SEBWT5mI+xlIgaKJqXpwgRxTVUQJmVK720NokcCzIUhuOMvssUfTNdCE2V5TMHrp9oLe7KlKBTYL083O8HtLJDyhaIdmp6K61oVHU0mrqfO62jh2UanSUk1ppmPlQsd0KNk47MHASeEaGreNgR7PpxPCJAMaSMIBPCacEyC7SrVFYOGyab+4+BvVzHvsOcLBnWAcV6y1frJRvPzkhEewYvN/GOGe2s03V9ws5yuUbopHjZ7XnhyWxnRDvfrucev5UHXC+96UJYOdvCjHIcGaBiX4BzwvAhrCV5m+sCaPWujZkEWX1jYzq0mMR0OOJVkF4clLXfRwalxdoFAQYeCaA5YBw7VOtjjKRIuwwJuvo3S8Bs7VVjxcoekfW+pRhbYyXm/J2v3z/I7aLJ2SvT9xa8unS6XO1QndEk8OsQTBjKAj4XBUliKnikytXEtHvuIlQiJtvw6KoZ1zVgcUpW95oRpoz5zYCyj0jngu7JEFw75BhopOaESVF0lxkIguuXA5YD39e/KIoFSZqAeGXavQ5Wy9NVlL0pKowMbsNkjtxOsXxug5A3UZApQeK+0Oh0kbRlO+zzKCgdbgJMtmfICEuBTAUhCMJEDyddy43z7MEmAKNsK/IhIjsKHD0zzGDSFazjDHQXXq/0nBMihQz+0tUcezPa6ey1Y74OArMQqojXDDGBGKhC+4TlfmBwPBVILpAxQ8YJOO6Qd1ZzYM+xHBLKjqIUbH+jRg2waTRQpbuSDlF6GsfuTJRnCxSsGTkbyxc2iPeDlocPv69/XhDPC8LVF+96zTgW4FIQFkJdN5Q/X8MBrQVUnNUoTmjjVPqAMvRGueZnnW4UR7aZqUi4DANrqApPblKTKKbSPzsiXZvBWmvvlAHu0N3OTQor4DNXRKkIJSAFQcgJUgLiBABW93QQZt0qUWV1AYWgiKeMECoDkwpSk6o0YQsJimFYMHQZ16nHdOVibgYvsTa4OXm6OkGfUrulKrDUm0BXuwjtIuoQUfsAp7A7tbWNiYMIbtS9RHhhwEfhnnX++Bkby4oV0LH7iDPr4ILVwXPcI2sNAaPcV3i9sKjRA5eyOvkz6W2SIgOizgAe375RWFcvpuBcKqT2RjcP0A/uwPE+yyBrj0g7JNPFxsGdoWpOQQG6c4FkRRoLW9gsBZISIKu30T9OqGFAPEakKbT95MItfHBb3yMD2zgRwU6vC+J5hpQOogkZEXqwcZ942LClUELtK9i9xIHLlQbdXsaeiOPqaDhYEHJFfJ24Lo6Dre81OGCHeTqWkDWDAgB5smzCYE5GFZQlQAJV2rUInYqFLc3KAag7BY4ZCNpwiZjYlqPkwHo0A3qqAPNbxXK/gkeso6NGgzOXoM7mWOmb3QeeX7WP/NOxlQMDI37HcortjPJWYS60E4pCRqxBjgVAftPFRBi7sa7Alfp5w4DSM+W8AIMcrQp0AUh+jgQLbjuCD1PhfACAlZygKEQrwvMFuI4I+Q5h4J7xGKE7M/u1PHQY33CT7j6oMS6Mlnpg9oGZZsuCvJpPsXCtx9myfkWRzoXjYPtVpgIZesim1ChdMrRndqn0VHzdqiznAwPCaG1U4gg8/MWMOBXMDx2WY2zBmFSgf2UPzeUo5nhTsX4CsByvKDXg+XXfaKeu+hsmfnf/SsG3FnSZLSq9YL7jedO/VIos2RneaLKq6F4Z0Kt0LSBw9kW+JNQiCKkCb2YkC0p833HOeE3pKtJuYf3uQoHPWrgPtFfgfkHNARpiY5DISMr1Sq9GY8Z4cBdmbUE7xMudaMPynv5Pd95GxsD0jv6JZ+kBGLiwccq3DrBZgOUopntgFHhz1glUsKZW1GqFNwJZXn/uQI3U1dYjGDX1lQyveK0W4Eb27Byk6T7Ehf6SBqy19hNtLwCoRJQZjYIphT5bmAT6HNd6WwcT6wbA9+FZFIfvq7HL0MC+6bMd8uZ9Lz8PSAHonzlI80CV/OvcIYhi+bhDeo7I+4TnQwcEYP4F97F3RpCRNN78fsH/4We/RhcK/v3HL3Ceegy7BTrcuErc+iWgfOyw/z6YsCbX7XIkCFm+mLG/GymQ+NIBZ/rPNwKMQGO5LQ+cn933ZIums6A+RqNqK3RQnE4j3uxHhK8qxoceXaq46xdMS8I4nhAnwduHM/7p29/g//vx5/jzX36JuMv4Z3/4a3x+OKP+VPD4bo8PzwcsH9m3r0TbF3MAsiB1BX949xFBFL/ZHVEyGZ4aBcuJGdkwA8df02a7evVysj2fKXqnUTC9IRvBkzHFyjZkFvQfmUmfn/d43u+wew43YwIA3V/uUJY94l6BPZm0wwdBvAIPf5nRP86Y3hzw8P4FP76+xZf/YkGcCp7+aCB7xWwdQQR+b9nR1+vEzvZXYPjI9yz3LMeJC+3NqSiGp9B86NIJfvhfK+JPL5DK8xNK0SsUgZwj8DHh8H3A4VvF+SeC+s8mhFgRxx36J8X0FPHx/oD62qGzloetLDDx3tIZuP91Rrn+/Ypyf/8WQjDHQ4xqkDcLXrGphVgPVDfM/h5g65SuiLVv3kaHFGYI4MGpHeTbQvj2MpqWB8P8mSM6smYZQMMWcr2p//M6PG+3ogoEa/WhkTWnFI4xA2mNkT1rqAJITwPUmqdjvQ+JzKSpNedWE2mAoV2OIHNw7OBrbTmw1qpkR89xS33UTca3jTHWjNcWRdoiSXXz3ZZhk831W3asrNksp1dKtIxByzTz3tQbgztVvCoDgr/t9Qly07LUWH8uLggEaV1Q6CCs1NTt5x0lT6MiXeoqzKLmCFcLVBZSUH0NtVsqClk4WF6vuM1KssWBH6abbMw2SwlYPai0HzQxGEPiNAtFgwKzS7522tx4Zj/rzVxt10TL7LZfbJ9jk6UOYFbXMhpe3+60PCqkq4lwuUOhFF1TY0EEZXshQaMwpUiZ+G0976evm2yufvLzTTz11z8nbS35/N5k/26Q4Ntx8d+HYv75psZyFVyBzdlaV+bZt5Aty9+CUvvb/696s2Y+/Z2vkbaP1edQ28db9qustO1tjay6vTO0td2/rQ2qEKN9ptXsVc712n6k3gAh7eXU7VkRIw9OZgz1BtRhEO335s6Y4lO77uMfCqCFjneYBVXY3qjZ8808bAG+m/l00MFsTMugf1K7qr6AfM+4nYAiFGkUP2/5I8YW0qAIUq1FCu+pZY4i2x9I0NaPWAI1IqqKzSdW2xr5n2pnxQ21yp+pZT39b197m/eKrMyeVr7CIGelceLGngd/Ll3nYcsocUf+5vN+3jkrom5vYnPrZr/UzmPxMwF8Ht2wRvx5UCtbstXa3t/uxWjzzvRi/akYy4n1liEB0cAnr5/fZrGcfcDyA8u0bWuHbRxv7KBRsLVI+07SU9elu7UpZHuRxgrtbvaCa3o0+99Z5mwOqEvAUigQV3MAltAynx68OPOHehfrmepnVOsi4GvF5lbtHgVkAMSltkxfzR4UCUXUVIBUEVI1bYWAWrdMEgBRTZxICfb4Oex/giLY7xDcXq2+Gj5ZMmuNMdZExOZvYK3jV9d1sEeEvU8ToHkd660w4aeMoGYz7PeiK/DpTBP3Yzyb61lccTtsvgbF1KT5UqhsziZLpZJ61eZHNvEx25dcC9Le02jautpy9j1mhj94V4sqqNYOKo5Yg3Oz+aGsc+KCW61e2/w/jdLUmgGe5Y2RUEHgLqCJkbG7B8z3CFwjOz5rUeGUJoV2gHRsydMH9mRXFX4H0DK761azZ7UWM2WPRv5ykcLg7cH8doPZNQN5tn6qCghUh3X9eAsp9IAGxbIknGMHAbDbz0ih4tAvzFL3BOaj+SRLicAcUCRiLglLjTikGdgBL9cB2Z7FfR7eH0UN5xoxFyanxNakC54VowvHkfZ0vuP+5XoXxM0m8cwpNrGaszfTaDbEGQkbbYDmh03BWgYxKdFaBBYmZeJ1oS2wMy6OxXQV1n3Y1m3vZxYaM6hGQcyKNLF7w+zgksVWoXh5J9o6hAApVSzzGqiEqLYfUlvb3YW+xZLNx93EIWXZAP9oX0N2CcxWTgosn7zpb3n9/i2Erpn9UINi9+OC/onZmPk+2EHMh69JbjMnChNgAQ/YilXQxw1aBDe31xioAEHZqk6I5vTP2qhHUGB610Nqh7AouueCUCrqno/ZanMr6KwK6W2tZ29lzWk6B5RdsNpPFpRXFdQHIO8UXg8hKigpoLWUScr2DUWgO6rLqQrKyHsPxwWpLzxgcrD2MwIU1n0FE3OY75lFHT7SiJV9gMYOUhJrmaxXnLctCQtrcWEtkqTTNdAszChCwQJ6o690r5yENK6ZoRqBWBT9i96g/1DbbCqmImuL0hxlqSAVzQ+IFFBiQBgzUBk0Bqu1DFfWM2oXgT4Bqug+XIAQUPZU6uxeMusVTLVWo7R2FKUnW0Aq77MmUoQ0APICQDc1Z5GIsVQKQYSFqprpUlrWEKo3tWfap6ZGvFUpjNcFQWZoFyGmGOUHCwTWT9GD+E8CK3BthaqNViKV6K3XTcfR5mCOqOOOB5P1bOyuYoENM2GiQLyyvtbVVsXVHjcUKypXB7TeuVVZMyqC0kVrUYLWzL5c1Yy1ze/eptoEJ9grl0rMnsFNXcF+P2PoMt7tL0ih4ofLEeepZ39oW98t4Nj2WAS/n8qXrBECLKCbfW35ASPQZjzokMTJgSmyQDzQ8h57zmpYBdI8GLQ9bPTf7lJbucJNdF3RaiMbAAJAd1y3MhVIpRCcxkgAradTJEvhvcdAyneM0JPTDuk8Ndo1gKYUDaC13DKFRhdR6oKpaLsKrSnJNmdUjarph121DOuFQlnpwr3HendmlnVZgLzyfqRQ6ZSK0pGBxkYt2bMVXq8WZ0X/zPeXXWKT9rRS+KIJ1bnTBrBOtvZAvpgw374CAUhXtlbx+uGQ0erv40jl9lYKEQT53bHtQ967Z2EUDGuBdC0U6uq8JU9F6QJiz/1WdqTx1Ssdhbp3D0whCVSWjhQ56fqMEBRdKsyCmGJ7jBVhvyAvkYyeRZBe13ZIvtZcEKl21FQIc0W6ZtS40si0CyiyqW3OFemyWReWOYyLGtVTVrDS17eua6IBH1Zn606/n3keOAcH5aqusaCDpU2t3ewCdHXMPmGMUNF/DXQVAYgRkhKT0XMxx5S10rVjBh1Yz/A4MwuWdxQ9StdNjb3wOWnPfc+a4rPtVQ3CrHNUlBQQt2UC7V6l7fU4KYZH+ht+boiaWn02tpgC1y8H1lInB3NBsAir7U9Xbcyb+hwxvQl4HEwcbqJjHC17m87MWrP2nfdee2mlRO7gdpd1XJiprojXDO0D5ruOY2KgZ3f2DCJ9Co1A+ZgIjAxA7RT5oLi+NVtkfeLjYcFuP0NEkUJFSgXX96z7D6kiGmOhTAwO0jkYIGo1ldn7cLKOrxZpIFjppTFBPMERPxEf9dY7EI53XAhckHmw0QexwLgIA2DWqJpjP612fdu9wzNN7sdoiDbvtYHlvrYgIKOqB7CPCKcOYa7ov36GTDOisXc0CJb7HgiCMKmxg8wXsJaNolZ7rny/aDR/ZbVvGrQpoi9HshbibJlrhdFfpWmktPNLjR6b4mZf09/TzXqvO8X4UKGdIj0HnH4VkPcBV+yBoVDN9q62fqvIAfodxavSwjPV6zTrY4f/4S//GCHWxgLo+oyhy3j+7g7H/9ijJuD6pyOGw7LWmpqomdeex0WxfDsg7wb0CSg9QZPLl5yH7pVjUC34j6Ng94H/LgMwviOQ0D9KazMaLwH9f38HOZ9w/i+B4Y+fcegX/PT0hLF0mHPCNHb48fGE//bxn7C/dqqACv7Nb3+CmAo+vz/j3f6CXb/geqSBC7He+ATTxx3+x9/8F0hXwd33BAhqb4JzA9kfarXTCMByB+RjpQikqfsvR+7vfCSzjaK9xizqFJgFw0dFd6EYr6vdx9GAlcTrlL0CYjo01p95eqOIB8Hlqw5lF9G9As//5jN0k+C7f7Zjxj+twEMZlPd9KpAlYP/biDgB8z0wvq/Yfxew/0ibspxMLTkKrp+npmNTk2C+535Mr4r8H++4j4PZh3urbegUBcDlJ8D0zgDuvzzQzQ2cV4gCLx3t56BrgkdNeX6m6nYrK/17vH7/FkJLaQddvGT05wl11wGyv6G45R3WA9k/6yp8jqqaMahOW7Nnlixu36yGlt/rztC2PnE50HEfHjPiSIfehQH80CCNVDcB92oQ4zUjjAJIT6WybQ9ba74sk5gTrWxhENHaBfBQ54SGWFFLO+0RU8VhN2OcO0zeQgiw2jmr8xS0XleeTWJdjimrGn1CRayBMui0mkOi6gEuWqbP65O8x62YM8wgwihhe5fQJxU2zNpQSgBWb6LMVG0CaM/YQtXK+9bxRhRgQQMVxJx/5AJ0A+ou0aE+j3SEdiwCkTnTka2gM54CYEGutyeJVwo8SB826rx0AvKBN01FVm2HShxZcxumYnQ7CwTGTEGVRsWTRrXervMwF2hVxGQOhAUcEEAMhb5BlwVwWdWWnSrVkHyr2fAMRkFraVTtQFdH8ZZVzKomBtRhLqQ1dhEIwvFd3FPWzbpnysqzkLIUtNZSlk30bFxcFIBYfRnnDY4adgWNNWzqiVAeAne7Ccduxh8cH9GFgsdx3zIF2tgN9vdmr/oYaRBT6bW4zuYFzkLYYFztZQ6mGljgdUmOykdjZmgMjX3g99ze4wqSkwXVPn8uCOVsiGKZoVwZsA7BbNcCLBki3aYu2NZOZeaqZXZNWfZGcdj2ypaF8Wm7GbcPBKvA/W92MuSVdt+ClVavrQYkmgr0UhvA5N8tpUKXTIXlzbjKUrg67XtDUAJ3gaUUXq/oYxSsZ2c5pKY67rREz855z9loQUpdbB0lXqiaMiPn1f4UXQGQ2YASC7pqCmsLoaUaFdBsGiwDUZXAjwjEUqkaQ0OmW21c5f6VKshNOdTGuquIfUWIBC1jqNhbdqBOglojxapMhKsChpqz/zZsflbKpNPyDZ23XsstYxHEgBLbHhUQEx5y+9xAIs8EmB3ZMqeoIr6uc8/Oh7I5HyKFp9pWVFtbvubamrDgsTEftCHtN5lHpyk3Fo3wTIwB4nWlRSHO8AhrhtszGGEh6NgunYQ14mZfPdOTrjyjamuDcQvMeltCuWEKbAJyyz5zz7DEhAGQNiX+aPPmAMRyIDjp9P+mh2Fz5zXwUA9g+J3XMfE+ijR/wvtWs/yE7ApXJK+bDK4HaFvqahwz0tMVdegQh3iTTIhzRXcB4mLgbwSqdYwoO4K/UoBpH2lsLWOVuow7aytD8bQKOVq2ThQxVLxeBtRrMpVf7hfiveaMupp4x3FvcxsAV7SnTWDvdoo8AiraFGyBW6COuL2tMQf42v4EMK/sFQIMaHOzZoe49gHYenFQxM8L+35bJ1udhwKyCPpSgHFCmPeoS4IOEWUXrQTrtpMHwEBSbT/5vKqNhft23ukgRd8H9D/Y25u/W45Cdeuynlcte2v3GRbhHvWzbRPg1wjosSAcMvC6Q//ImvfpXSBZI5Dq2wTHMsGXsJhGR2UAVwdFHAPyjzu2rdkV9t1V+qFyjbj/ZUXeCa5/kIDDwtKNjgGsgPe5e6zoLhXliTZ/vhNMbwk2zm+zZeBj81G4P62XLlibm4+K7kVYruY2cRG8+YuM/W/PGD9/QPmjABHFQzfimGY8Hvd4TT0+/nCH8Jigg0KOGVoF+alHBnDZzfh8r+hibcrNIVTrssfuLtcfB5x+FRBmljNC2Bu31bNaPTK1ByyIPNZmFKWaHXeatdBVEGV84bazuyi6F5bH0YcHQR/PwEYmJKSxwrj+6p5Z9/kkYBma4vANwYDLT2y9mUBctlZ+OlR0dxOWa4cwR3SvivFzoLzLyC+9sRIpvpj3LNcJB36Pnk2t+XOyI4cfAtJHC/x7BtL1IHZW2RwOLFWKrwGHr+mH5yPHCgDjL9sraDaD6yBdaGNbSeLf4/WfIcjNdP6DiQMFTgozd7LSYxVN9EQD6PRVcz6DU1Y4USErhkdtfWpbTyk7TOqV9U/pAjQqkSmlNhpWVmZum2MEiB92AaDS663IEFP3pkicK7ozDUmahGq2IZgaJNb2L0GbM+QKtDClsbxErvSO1ud4mPDF6RXfn4+YJyLbMlkbIVecBW4yH5+i8u4kueBJHeJKsxZhljex7mJFnPled3g4F/zba1viCFIUXVBK6HDAKWDFv2N1cBAFMASRaJ+0ufT7gaGAGoXGd14g0wI9eB0dEPJA41YUqBSTgQh0CKixu/lOovXm2DaWAN+fPGsNICxEwGas2cp0LXxma7/Ag8WcoQoq9y4KmTJQyk0mF+A6QlHIXG+ywRoA6ZzWaYeqt+CwmjlgDcKC1aqJBnQXbRkuUhKBEH0t8sfpjE2dL43dGjRtN6O0ABcWxHB8a8u6a8cDJOTK1gmuxK0RsaNxLrON55WOax3MGTaVZQQ2Hw+x4rif8G5/MQpTRVHBkIju5kxFRwZO0lRQ4xVrzZYF11LMCV+c0mjPs0XrPHgzw14tgEUFw5oNyu1rnrVRlPuHU/1sH6VLbQDQlnovWm/F6iozuSgKQaUMuiqQC2TJ0L4zESl+RqvV3dY16FVb0wAA30sOTG2EfFpNsF9XOSY1rZlsghGKlbqNFpW0TF3ZUjf53C3IzuveQYxs8+BLqFbLuhut2YJ/qYGAUVkzTSpqIKM2CmycK2344kCKtIO7JsEsa7AGMCDsnrn20xVNXT5a78p0qVb3WxpQ5nup1U23egVZa899XBWAsXVCVuji44MmqFF7QAdrgXe2wGDHDG63X3A6TGx1FBRdLDh0C0zaDVNImHPCPEfUxdrOOD3S2085pbsFrnYvKSAfEp/vmluABjMHTlV2dW6OrSBYD+VUFN11DY49oFYxR3/i8zVwuNYWTEnhHvKWTBxbGLAW1jEF4C2CuD/MSa+F+8HaT+lxQNmlBr6x5txq5k97yL5v9fSNteDrZlvS0faArkFQUp7dArb+LsoWLnNtjIFGCQUoWGj2ou23IGi1wgDiZYHuFOgZJKUrQeC5hBZQN4aAO5nzGjypMBhL54wyBOS3q8aHr/Xa8TPDrwYC4o53WZ9TP3/FSpykKPqnDKd0N58ohUbRrUmQDwkaDrTjS7XWLYI6sAuD906Oi6JWYL6zdiHJGUe0x5oAOWSEjoI9qoJ9t+Cz3Rm5RnwYD1hqwKFbMMSMbwA8TolmLgWe/Rvnc/8jHd1WL96YM4AszkLh79jK0Pw7q7N1oNJ7NPsYSpWWzWHwx7KDMkhrWQIYaysCMipCNX9mpsBd2YfmW/rP41Roa229ODhfBgq7xaUgnclS0dMeehiod+Fb1MAez6LmQ2zAdDRgyue52VuV28wx3D55zbW0MwqwThviwN+GfeFnk5Kams7Wg7279QlOvxTMmrDcR0gGprdca4dvyDCa35hI0NsZn332iqeXPfTDAZ5FFrVsXAeuYROx00AAe3d/wS8ePuLl/Q4vf3ji/rsGjD/s2VfcWasGgCxH1sBPD1QXZ1cMZebcgzxdfV8vIbh8ZWuqMggf31ec/+ECjBH9DxHpIig7wfx+D8nA+OMe3557vI4DUqgWrCriLqPcCdJxwRfvnqkwPrLf7pwT/uLDZ5jnRIXoElAmtqCMF7KMdq8WgFmArhEYPyM7gnGPMfXUgsEMhCmgew3oXpjsWx6UY2nrIcxA9wzrEx8hFbh8IcD7gPPPFMvbguUYrTMATHQvWhDN4JGaQYLD7wLSaL17XUzXYgEPMt0P474j2JG7DsgByz2Bw3QG0l/26J6ZOMzW2zlY6YADns4u2H9rfc+NzeGsXSlAfInYttpbjermnxkIaur0J9q0YAxY3yv+z7wHzkOkDsbf4/X7B7k5E/kPtvjNKU3WzqZaZiwaI65GGmNNMKlxrA6tf2dR7D5W6BOauIqLDWwf1oWSvAUDW+wwC1j3CaULK/XRAu1tVigU0mc1CrRPLUisMVidT24HpSZBnDuUQXD9PGB6az+PCkRFHApirJiXwF50BWtz7K4gRMXnpzP+8PQRc414ed2jggdenIhWewZDXGnRAvS1jQqfhXQdGrOy46nlhyQPBjsc7VBvdJaqjbYTZjoXpWcgniZFd1mDOhVBnJ3Dv4IBroQM0NgKYJlcV7xdDRuR9EDnwmpc5DpBxxH47J69fgOA2tFgZ9Z3wNSHaxexnJJtgmpZt01rDXs1oa3MrJJnb/I+oqaOmetLQRwz6hB5XaA5/MyKC2TJbL8zL9BcbjNcrc6ZLWykVGgMCJb9zftofcIYlISiCKM5gL0rS6+BrqvbkppjHozV9vk69w5GwxORXa9x8t6f1SjiN3V8ThcED28HcsQzm32yfVsRF2a01VR+UxLUYj3bhMEoqqBkYEmklmpfIYmtDQ67Ce8OV3y5e0GwU7lqQBcKDsOMaUlYlN+xtj9AQ6kd+IrzGiAFr3m1TEztOVdhsWCrWGswb0UldIjU6tJalgpgDfVCY1qb+uV63e6cWzDbplkNFLgupCKHsAFgKhRxBTuWDCw8vWsKRgkHga8UVofGVMTbNWxdscYktD3j2ScAzI4CxtLYUEh977ZazFt2jI9BnDYAHizos2BFVNd6lhiwFhfDWAc8oKVUZo+FY6JCEZpGExIHM9WCErZ3aePpz2OHHQWsEvIeLSCRAvTPsIwzGi0vjQScupcF3pv1pobY2SG+Ly3wcLBBsq4ZIBBgCyBYEAqgmaUaIQOLeNbMaKadYh44j8f9jJ/e0xkqVtN1SDOCKCpIsc81oGT2KYymbkmhGG00Za/Jg6xABOmxJo54nm+y7M4qqX0i9RYMFILCRKoEaazoXjNUBPkYG02yGk08jrb2O5+DFUTy/s7NbjhgqJHm21hAUK5lwwps/Zamji/jzPfc7ZCPCQlAPM/wdnEaA+o+kZLtdelbhoKiAdEtC2vnirfO0RRY1yXC3t1ZkUwgkKUCtGFlxxZGf21PO9V6g/yHa/Zji+P/bKUoud90CXC7YfvOgjo/X+NY0H24QN7sMX7ekXbqR3UibTddgcM3DE7m+7VkyzO/1UpvfO92H64IL9d2nzp0yG8PqH1EPkSysVJEPkWEWdE/UWUoHxNp8LuA5SBWmlMhHYOJ+W4dDw1AmMg62B1nHHezbf2Au37Cf3X/Ncba4S/C5xhLh3fDGfdpQqkBr5cBi+leSLA5XATdq+L4zYS8i1BJjb7tGUuneWMXWtkDEs+a7HRMEyb12mQNgcI8GxbE8GyU7Sk0ZqCDAYX6lUijnZMW/JV9wvSWIkXDkwW4l4x4Xgz4WdeZhgA59chHQfeakb59AmLE8tUdysASg+C208DIMFtpiiTkXTBRPrM9dka1vYPVVjVbb5nX9MqSjDJEzPcRKkB/VgaIDp50FCuCUaGlELyPLxN036H2/c158O7fj3gJA67vA7QDpnf0OR7+E33Cpz+KmN8A9YuKf/r+t/h36Ut891cHW+cuAMdA189NgqsBWhWnYcY/efgtLrnHf/jFHsGE2sJTaqr0BPno/8x3vLnrF4r8ppDZsJCCC1Ovd1DJwcF8AK4/4zl7+HVC9wpM/4sJ/5d/8v/C//23/yt8/IufoH9WLMYGCBkYvk2oXcTlQwcdFPuvXnEYFuz3M5ZU8NWbF/zv3/8Vqgo+zEe85AH/8rc/w/xhx9r0vkKngPQxNZr18FyR955dB+qBYzN/XhDvZ5THHt1jXEV3LegNI9WOdz8oru8F13tG8DIFO+sEw1MFnrmW8x54/TnYiuzLCW/urji/6XF9M0CuAftvKE42vbVSH8uSppeIt3++IJ1LYyQCbKFZBmnin3GmD+Znc6kB2fyT+Q2TSKdfBhy/rqidAROD7edl9VFVLEFxBfY/8LuXA7VcxPrcNxBbgOVUuY4imrvr+8i7lWinSPcz8pigc+J5EdG6dFBIlyJfZdMq6+96/f7CU8XoyqbAKO50Fcs7GJoLQ68DABjyxgPX969lA+1A9eJ83UhTrxGqO6OWtd06PwIeZtUyZnnNDIVSW+ZnzdwyoGr3W7QJ6ShoiNWCXwAt0GBd5XpZLYICKsPqrkAS67iCkLYcY0WuAR/nPZ7HAfmSqFrnbRBcCj6r1ZTY/Ve0zE/wGlU1RLSJ74jxGPzezCmW1aHwIMt7NwJ8LjewcXYwYKWQbWlCzUHY1kjGABVzNDfzoh6Ebh0a78vZJUjtm3CKWm0iW2QwKKxDYl2Mo5KKtWYMsMAYcOqiK/L5fLoTF0pYM9M2TrJUpKwtqKDjZwq4HtSKQKJzJey1ZM5t4voRYTa2gs5xDCapb7VhLl7Ez9Z1X8jtxgzmjCcHJiIgnc2Ns/9sPayMBcvGNEqWPb8HH/4YHhhsssmwDI7X+G5fLeu0ANHa12gCywcMIJKkCB1rtvpUqNRsG2GuFHBYaqTYSgnwPrphRmvorhEtg9sEV8oGpZb1mTxYaQyCNpdo9HUHeNZWJ8BKq1+fLSxoVM+wMFB1NWT1IMCdd8+IBwCBvSJlU2vo6wSBQVX73DYYszl3oEcNCNxm3FfhlRWcANB6YXrGMghQt+UdvtdrhfcBdmoeDBQKVn/drusU/KJmLzZ2018pWjZ7HWpfUxLsXnyMt7ZFtgCXrGtQCUDQkZcW+IkJQDEToQ3ga0wIWxPbIEws0GagbgCCrGPNe95k3+2ZBSAo4gJeJm5UzRlh703LKlgDe0Sl0mysSFJR7VlddKqqsEcwKOJSp8hekRmtrri1TmkiT2hBXRsPd3q72ACVG5GkrZMswudze+jnj/3+JnNWVue5UdedEmv2QALa2dJsvJ+PrexF2/zS3t6uG02x/T8sm2cR2TBmZD1PN/vWML32/a21koMmZvNVK6oKb8EFhEyxXEOg06QguAlf5399aW9fsmRmz8UApcpSH2bZaXd4/q4tbpz9FBvABJS7gb3qiyJYpnVLr4PCghKCHTqZM2e01FA21Odqe1MV2neoh4HgcFypjqxX9vN/PY98j7KNFwE/P8fjFehhjnkHVE9Fq6KUgFxITw4CXHOH31zfokIo3CMzLrnHJff4cD1gufTAzHrcVg5lly/GKmO2R1fqPGC1/NKAWxdHC9koyVvARdazOVpP6vbn03lUztW2ZKOxclJA2TP4jxNv9AYgb4aM13MNC/chNAgzuOYfhnkDsLc9qJYBRlMDL/0nN+nLxYEkY+CQaacQK+ny+yBIuTn/6lrv28p5VBGmFezUXWLQMRZoXun+189ZShNn7h3JnJ/lQKSlDFwTeUz41z/+BD88njC88LymwJyaf8pz3G3l/LaiCvDNh3v8d/oP8ePzkQHQRrCp2TsxQabkk2vDb/oF0ZSmPWhxUc9gddY1CeLVwJHeqK3nhP/H7/6X+PbxDnggbZlgKS8RJ7suABTg8rTHNQ1NKPNl6vHry1ukUJBrRFXBcT9B3wjylKDXCJmDgZUM3OYTs8Vlh3YvNSozldcd2f+Dos6rboYmljhSzViQD4DMAmhotPDaAeO70BhmHpBqYFwxLQlaA6Srbe+xw4ZAEJiJj2osCrLblmO40dpxYVHA7NFxnXsIqITc0BcCRvP9yij0DiBSgeWuouwrcomYJq4Jtm3jnmpMr+B72vellQZNAoz0BzUA2tlYJp5b+bWDTKFdj5+lH9xa0f794lsA/zmC3MnbaTisV+GtDqCA7klJiRMYeOTKDJFunBCjT9WO9C3SYOkIB9vsdRDMR2au0qgta7mt6UEAah+NqldbrYQ7OszauUPB4EqHjs7pUuiQdxEQ3ouLQJQhwKlgzKZao3pDyAGgXhMQFN1pxnE/o0uktcmmuOk893i87PH4wwn9Nx3ixEbR7BGljRIVrXaqycMb9TBdMuJlQe0jojvG5iywrrMCBYifqI5lM/RhruheMjQKljsKxKRrbdnuMLHusuwSPEMG0OGufWT2byKoUWOgU5QCtNJBE7u+MzGgyrmsFfFsnzsdgNOBqLkdGGWXEAozi6jA9LbH9Ib1BN2lwjPYqArtAzPtqEZVqhg+5hbYlENCvJBCH8ZCFMkOv9oHpOcJ4WWk0+YO2mLtkEIAYjCD0kHC/5+3P+m1ZEnSBLFPVNXMznAnd39DvBdDRg6VyawBBFEEiSKIJrnkj+CfqF0ta1W/gQAX/AHccUsQrGazG9XFJru6ycquyoyMjIyIN/l47z2TmamqcPGJqNnxFxGVQCR4AIe/d/3cc8zUdBCRb5DlsJDLCKQN2LO3tM08WpuGMK6ooKUwqemiHTzUZ2qfmoZW7YDzVkxhrOifOefmrW84/IvoFscgncoqqXJEBgyGusifwcySxtn0z4kIrioTH8DQmQB0SxBFVC6wHcboh9ESmCCQvjkMM243I3bdjF2aEEUx14jHaYNL6XCcelzmRJfoKSCeA4b33h6MVcVuprFCmMz4S91Ix/Wuwjlxsuu1wMCDbA007WKSVGkwF0PrX0n0ZaGGBRtDMQQwlGUMa59QU0A8ZY5ZRUumtKOhlABEhVcvTdRkoSzIL7JpnjddS1oU4DpJ7AcbjLFQrYWQG+55wAaAqE0nSAejzFVhe0svBMD8A84Z3soC4PiIAjLOkMvMpNXQe2Rrc1QqXEf/cf/QukkIUSwRCte6l8prR4aNtf14IBvEAzEODhprAbBgTRT9QRAK94rorZySF3gW2mI6l2X/CaTXy5StCBq5p8yFgVgXlkTAx8DlDO4FkCv3MGV7BFKAI4o54aYTMN0LpheKulGEfUbXZ2y7GX1kX8hgiHeuERXsNTmXiGnsEB4T4iRIBzPOOtn8zut5ZwnqzH09aG3jk2/6tkeR9kWzvtZPXvhvjghTL0dt8hJQWmIBrol0mBt1f6F364J+VkDM6rSZ1OUV+8POEd0kPpfVuCqFaoDJH6Qq0mGCxsB7iUJUL0grZpPm5omAnalJWwITLWj3whaTCiZ1zhTzYkc4TSw8poAaE+fT2ebD4IUaXYqy68IBABlHxNdPSCFwf+zoaO9xS/80I1xmlJse2LO3rcsaglHn57se45fblsDWDOTBdZKLydj4gknD7a8L0qkiO+LkRRfXzU+2PlVR7rc4/piImrf+ihdq3/M+WU9OQd6mVhSIrRhu5kzGcNp/w0lxeREw3ROVqT332DxFnKVD32d0seDNYY+vH++w7Wf8+atvcJMm/Hdvv8Tb5z0uHzboXqcrZG4JOhXjQyI76VSX9W/rVzusDJkYo3CM2BrPGX9OrQQoy6HB2vKzmliccQO8MANpZPErGXrq0qp5H1DvI+Kk2Lybl/WylndZsU67iOnFwNaFl4p0KShDwHR/AymK4e0F4TChbniGS1HOt0gTOY2yonVKMyhd9weGevCPqzNqmAv3hMBYWYqi/zBfxcjaMe5pHhFV2d6oAmXfYXq5QTrMSO+OwHxp8/zdPwnYHgX9o7aks/Zg+5YemO8q6lCR3nR4+vln2J6B3bdcf8cfBOSdIJ2I/KWTYvc6o2wC3v6jiOmhovvv9zh92KPfArhfzBs1sf1WmNl3d74vdn6zKNM9B3Rv6A7cHWwPsOcx3/Aaw2TI+2gFC7ve8RPF9pcdnv+bLxA/FeR/dMQsivGXe3QHXm//BEwqmO4JSG3/qkeYgMsnRJDfjRH/r/OAriv45OaIbZrxjz/9Gg9fnvF//ds/Rf7bO/rkGAN1emBy6C7g6v48s+D+L2mM9eFPAs5/PEFDQv+e+1veVZR9RXnIGFOFHhOGNxFhFGzecu0ffiI4/DQjngK6Jy+YWJJ7SjiPEdJXpCFjngIkR0q+zFPi8gqYNkTbT59zbp4/F8yuXT4wUe0/8MyeHnjtLqGQmdI0YJGMji8V0wtSoLsD1/nwnnHX+Kni5osDzvcDDvcduseI4YMgmawqb5g8a8ICTAiLsjILugPzHnel5jUR5U2HgP5vOzPa8jiCf6czC+S1w3+yiLl+/f5JrutrjIrVgg3XoSk304ZsVQ9Ul49wSh8DW/6e6yzbQjcnL8AqxqvqVksE/TMDmCSvDzj/LoUZAqAFDADgbTl43d8fwTUFxK3/qR3xjVIBa47dpYIu8g8A0tlqwDgnTHNixd+c65yG09p+FG0IbmvX0zZJrDY++1OVh/P6PtpFWzWwskLTkB7XPegq+LLCgBqtTD8qlWgQiCfUXpG3P47ktvF3XZ9Vb71dAOeLwCm1a73q1XdFHmJrOSYRMVkSGTV7GQveGgDhyLxPhaIWzK3Gx+lrVZZE0ehRDZ0zA4mrsXQDFvGSqv3cKr2IIP2pKBQVKrG9h+0qFJJsXRja5WshZIX3KozWD6wZSThyW3RZO2uU8uPn1Sr7uszv7w2yzfWq3/+5I7pmkuIHNNxkAguSVTVgrhFZQ0Nypxwxzwl1DgjWosDRkYbUOi3N780LIutXXd1nxHKPK+aAI3+NgVF8rV6veU922/e5G+V6vNYvR9R+y9gtH77a23Q13j6+H6O/9tlabe9yBMJQukb1XxWxvveduvwttUIRmpmPI3VrFN9bYrUEV3/HvPhtFVLbd/wZ+FivEZZ1+x626BEEZ0fY75I5YYG96XexMS3cikHSUK3f8fpNe8da3+n/7/crlfM9FK41Kcq2Z8Ueta7uX0ETHhVMJaGC8x3gfq4qmErEOCeUKSBN0hgXvpc3VNXR93p9bb62fQ5oWOmYf9trtS9wDMC9ys+JTMRzzfS4ahflid9azvTR+diYAo74+rlddWG72Pq4Qp/9PI7S5jTf60UTu4SVftgHvBXF7dcUstwblrN8rbmnTGG5bhjbQmu43ks+XpsAC1eV+zRqhUpavmsdF5QVo2C13ywFmPXzRWuV1V7NpwFLMblz6cQqDvFLDYGFqS4atX75xzWDx52LlzOezysUBSY0nTnAZJEsldW8VLCYVwJKjshhta9XQS4BuUaMJeE8J0xjAqxvpfcqvprfZTV/nHVlxZnmyi5o6K6beYq9UQSLz8kqxnEkSIMu42xxklOiofY53sLGv8PZLaqLsVczrrKJ5jpBL7L5vCkKWKeBthydNRNlOYub6HQ1D30NC427VEENv2JJcK24t6bvO0If5kq68/psdiaNsSlk/W9u6gWwyFqWCVh6ACePVTkHs8tjoo3lRCf47gAWz/zcsue3xLuLrwHPZtOTHnnTYSstAfTncIW8rWPoslxTOz/sfb6G2j0qGCsL4IFRvACbdxV5F1GslVsxevT3zm3B1RrjZ1J6UwJd8vtQcJMmfNY/o08ZpbKI47Tc2lH3WpM22q9fs7sMXxlq+r9no2O7CZ6aqZffO8Bk03S1LYFOIJsoC5DtXOjlo8+2KWxGvRpJ7YYywS37gjhF6FmW4oMVILTTFvdQM28f6pLQSJSae5dJzS6rOEqWZ6NwqYBJCOw+Ph5vsTeHiQlr7ey96xjC3Ox9rYiC7a/U9xE/N37DM/0tr987yS2fvoDEiHDOrDYNhhiZJqw7LFRfOhrqYnLhh54AsOpY+jACUTDfDai9tH+Pl4r+w0zO+s5dNRXI1Gl2B0OU3aBoZbRD9MwuuALBnHLlkiHjRNRtSPCG3wBMV8lrTueCGgXTAxHRNLJ3FBAw3wWUXlF3FUh0Uz5PHebAKv+cI56et+zDWJhYhQtbI7BSxOpEf2CTct/oaNnNi+6fC0JldVZTuKpGUqNal0DZAwygJXbxXJAOHDunAHeH3MaLtApB1cUeH2BSInOxKrfpQIfrKaMpoFoF3J22/e+6H9p8aOi6t7lRbUgCjZhsxkbhsz7IQldLgumhBwRNn90dBd1c0WiSsgQbGgVl2y334MmwgkjQfsPfS4GutY/mhNsl1G1HxEj1ivZDqnPmIRIDUQzXswJGLw1m5JLBtjGh/a4bv2AEJMrSutnGw81FJLPR9kKl9+BmORBElWgwlo3SdbeOdBBFD4Yam8MwlsSA7QbooitKBkQZ0oryhZVO0nubCqZTj5w5r4+px3M34HkeUJXIVq4Bj49s5h2PAd1z4GdY+5RoqE53clQacCpjyNqMzK6MbwTt0NUueiyD7mlBqnhPrBYHu+d2n+uKeBCi8a4Br7UhlwAWZsc6Aa4L8sngrCzJkz3fj19sUaacb05pXjMsAqhXbEgckey8jw2Za66cpul2AyLXVXLexSXBAEiNV64B6bvlWoyxcBUcfVzgAIjeWT9xL/hRW2RruqfO0teVlMo2cvadCAFll5C3iePr8ojAQNRbP/lzFRBlRyByXIIF0IZ2OoW29hHietvC9VL23RLoGjIvY+FeH8USJWnomEzZElyx5M8ocN2ilQxGjyyhw5QSXitwGnuEUEnhV8GUI0oNOD5uIKeE9BwwfGDAR7dcmEHgcsah0qcCABHOKPRKmCsLA0bZTM5csfVca6R0Yn1WAst8Nbp+HPnca1boZK3eLHP3oH4pigHwdlhh2Q+kFIQpI1zMxGagH0I4mV54zpBcoNsB+X57FbTWIaL0ofkiSFF0VsQom5UPAnD9e97KZ6VnbddZqD1L54Lo/gaRFErp7BwqSod+L6wGLyYsa03GDH0+QPOidZ0/u4eghxcp25lqaFK+6SCGkja357DcK4aIOFds3syN7RWyYvOOe9B0Q5PK7kgTGG8BsiRBtqdZ0FamiBAEddhByhZlCOiOXOdxNJMvS+jIVAqrRAvt/E8jHdSnFwNOn8YWEDZpgGnfZAYCBPkSkbMgXxIuQbG9veCnr96hquAXzy9wmRM+fNijHjtIYQsRnIHdd4xd3BxxeFRs3swLeis0e2o6caMMb97N7Uxf62lpQMQzYPO+IJ5LkyzVJJBBFsOxXIFH3lfeRcw3sSUy7tvh2tkw+lyOdGQfQnNXjhdYzES2jr8cWUcUFDfo7GNjiuVtRDoVdCeLHROLvf2hoF4MYR8Yl8xbfmYa7RnY/FahCZGooDsJQg4YHyLGO0F/CM1TQbuwJJywewRQU8D8YuA+cilIF9PJdwnGC+b3HoxFaee500qHt4wVkyGCNcHaQQkOP6L5Wt6r+YzQN6R2QN527Ae74Z49vgTynm7ymzec361dlCW28SzoPthaPspSZAFR2/PncNIYpAD7XwPb1xXzTnD8ge19gcnv5o0AiBg+8Lu6g+L88z1yAPoj9+AagekWqAM/T3vF5R+dEVMBakBUwWY74dPbA1QFl5xwmHskKXiRjnixO+PxobII8DBBAqCvB8STQAdAbzNwjth+zTY60z0w39BcKX3XIZ2kOX7f/yU3jryPyNuuJcVuplVNh9x/lyzOogt6vZspd/xqg/6DYL4NmIvlDh31/pT92GRSoG4rDn9YbT/lOV6fOO55C1y+zNwfzxHhwmRbZsZ36Wh7m/VVnm8UNQDzq4z0D844nXroX2yQTkB8Dnj+5hb9m4i7X3HdPv0xnbTFDBb9PqWyMMbYFkCkT8HmvaJ0pJXXaG0F01Iknm6Byw8yRAXp0UBBu09f57+pqPCbXr9/krtLSDMYXLiewSuMSlG+zgzGvBKxUIi9AmGIX1GEcYaL//lmaYd+PIzQEFD7DYoHqmJB32gHURda5dhph9xQ7buDQi5MxGTONM7oEnRI18iA+gMzFMQCTJqwMIhh6xF+RwUAYSU0ZwYxVQVzjqiHDjJL26fWRgKOaMVLRbxU0tWs2ud0I/YA9cpjWDYQMIAN2Vwmo1cE/R48mGPwUvtEOowH3FVb/1k3O1l/dkM/VhXwRZts47vS6npbIeTSgge1/rpw8Y4Fy4vjMzWxDREVaWN7dWBuTNNjWoc4+XisxtIReiEdkZ9d2/X5kMDp6jEgSLW5x3lYu8ik2w2z/BWkoWCicZkr3hsyOgWQCQKiLPNwPafMzKglG6arbBV5D2YErR3LguCvigH+cgjKxr61dKqe5F7TUdd6Zo5LpRu4O++u3uoV+vYnC+ocUEFZfa3CNkGG8KoSAaiXhHgMdAG8YNGYZ/9v6onWPSYbPX6tN/4NL0c3w6ovcNO+eiJrtOD1vFxTNavE9iwWJsCSNJAPV6/H28dMtZkd/UY01MfaerkulbyP3u906DXiJHQI5fzWdjjUuJi1LGwJYE1dboibf5cYHa4CYuux6SlldU0A79dfrvVco8+qiyNzt2InKBbtr9q8D4Xtvnwq2ZpkgQWQ2bDgKFcJPnQJfhYNtsJ7Wjaq91zA6pig2J4XJzOsy2jINmyfIgMgQIoFgaZ5E0PCyJhZ9kwpQBCBTgFaFPnS4SRACIqU6EA7z9SbyzEhHgK6o5g7/dL/8uqlNjcdEfRipCzjw4eJhS5cTHIQ3KlztTaNvdMQKStsSTW9dHWECDxjTZ++np+tgNLOIaO5z4XyDelYpFPzLBhnIkS5AH23aBddctIHM4mrjUotRsv3Vk8L7LoaG0/4wiI9av/kDLASliTXtn2ibzbnS/mNDKY2z2uFXkaoi7ABlG1CkXTVbqWhv8LCBzpBPFeEzMRV7cvdUT9eCtKYWSA0g7w4FrDtiiBvaADWHa0f60f9epvUKnrPx7CMg3KfXPpaaxs/SgZqQ7MBtEJ+mAqLOXO/aPLSEhBy3gtCEQbxs8CcUnjM3AheDidcSsJXT3e4XDrUU4KM9h5DetKZzupuwpUutWmc1WRMvEc/t62gf2JBjFrZ0KY+hLIYKSzKx/OMpodAsJ64hoS7h0au0LjFdLdQ5iEwV/iCeJohhzMw9KjDbqFEx+tz7soEx/YfZHfY5/9r4rnHeS7QSRpjyxkZAbx+CCA9i9BN0pFXqLOht2rNN5zCXHrBfGOxSKAZpl/zmo3k1N6yDewjPFfIqbY1fZ2wL7+3bj/krs3bd6TQj/fs6Vx6S3As6aVkx1pFddZXPKGhtbVnz1YppB47MxDBzjJLXOKZ9+XU12p60DIsVGaIQnKA/JKSqbyN1LBWKxBUoHNTMXOODxPQPRp13RB8jZa0J4IDNSg+e/mMl9sTXh9vcDgP2A0TXgwnZI04zbcoOdE0UwqGmFGHCvQVn7w8IIaKbx5fIT3TSDb2FeVCynCcgHmP1sc7naQZGsaJjtlxqphuI+adNIpuGdgKqWwU/aMgnez8y0w0Q1/QDxmlsLsGgRtqmEkHB3T2mMf+JEXczzRFrJSjOPNHkyLe8hfqJXCcZ+pi42TUYD4CtqjMViTYFPz01Tu83tzgMGygoyHXx4D+UbB7XXB5EfD0UCC7DBw6yCgNGGlJ6So5DbNJUwrZkyEyaPeCGfczRXxgT9WcB8SL7ZdictHjtSfS73r9nZPccRwxjmP7/6enJwBAHLMFCxWYC7WJwBWSIhbwiT2U2gU0GpU5j2q0vl1DxwCoDyttC++m3NA+L1hi114VqLuuJWWo5m6agDBlpKcLN7eha4GFhgC9GYDbzRLoWjJNY6fQNFDN8MQekkag2EYZz0QeNHLzKxXQjVivPaHj5oGVCNco+OeksyG45njMhJDOfEmB/pEcDT8o6EacgKINuQZY1eNGW61yYjPFD9EUUBKLBm7OoQIgsUrajJ9mp1eaNmYw1MZ0SOsgpfYsWsTL0jKibjug0oDDkd30bAeEJ5YdW6tQQzXzsDLtYNn3TcfajB+8D22jr4g5/gnGl50hXNdBOzcYCyw8+XNKX7UChwg0WvW/76CdIfnzhJIn1DIh12W+a99D08bGVRbUvyH/hahX0RYsyVyuqG8aIwtB6wM2WZJYTJ8LLJ+5dlsVEN2qas/HvsPpU+4m6wHeivIocwE7/i2fve7ZKpXryVvVBNiGsl0Oqf7RKtSZ1ceyiShdxQjgKNt2SEEF6X1C9yxGgTK33LPpEwuWRL7RZWx8EosFcSwNoWjjvw7oC2y+ugZvMbfzf4NYcms6b6fJw4sqvke04M+KWauCwveS2NXzhojtW6uxFjEXlRWNswIykg2hg+tmLUCI5lRsQb47uWpgP0BAEAYgTiw+uS5NCs0n4sRAzNEzVLDIp2HR3wZt2nOttSW6VTNqpZNDkSUrK3cDJCS4njFe8jIeAMIlo5lx2Tyvm4TW09oKm93B7suKgy3Ba4k4SGUOQAH3+nSu1kaooNHUHXFMLF46oqtCJBQBEHfltmCUF7WaP1GgITZ9daOJmwEQxxLWu1YAa0uiIsilw3T5Da0KlLqydCQakk7aDu9ljvv5Z6ZFRkmPY4H3Da59XBIDtaJHiPZzG8NVYrrQnRXeM3yZt0uAyfMucF2PdTGc8znsxeMxXxc1KogGBT7rxdQuGIPE5sFcoFlW7xmQDS12jfbaEK/t53E1122qOmulRtizcEQIUKGZV57jcu92ry1+qCAVsFabl/wTckXNE+f5EFCKACd+RPdhBO575G2E+1nUGFrS1j9lhEtBHSLm+55n4FRbAcafrfdXB3hfZbugp91ZLV4Q+OHpaH28EDUrgxWuAlDFWurEdaEXi7s4fKyskC8KqWtutPlpbDvUTrB5z33Q23Gpmd9F4VyX2RLrBJQd+2Vejj3+67/9CYPLMUGzID4ldEc/Y72dnXdsQDufq+1vnkjWzumrvO7SC6aX/VKQEEsabQ67hl0TGWNlE1EHxijVvBZkFxHmgO59gZwnhH2PUDpocMbCMkdqHyEvblC7QFOsQF+SYAhYOzdHGoXGS21zS4fYfDOkgAnzXDHfdZi3AmhEvB9QYyDDL3kPcWnXUROdaY0HvgTlQgDD9/Pxllre0jHZCAUom2BItpieMiM9jm0Na6kY3nNM4ilDDieUnFHnjFyWuAXCs6QmIHUAhGeOJ99eJKWWktfaP1mMNfCsr0lxeYVGW5UKDO8ZZ/qarAk4/MRjIb7H21O2VyDqqQEYPynQmwKMAfEUWHiZYaij4PnLhLKxpGgCNm85fnm7xMnNmBX8nmlP9kzZVeimLnNBFN9+/YBv5QGffPaEP//8GxznAV8d7jGXgHHuoAr8V9/8Af7f3Q/x7bs7hHMALgGv5xcAgP4d2xRpFzB3HSQLpgdFyOwnnC7cOx1d3n9ToBF4/mFC3kcioBdtbsXs7Q3gvMTrpQfKLdspaRHMU2J90o3rjov5l2QrjGzEHIuVtOZvNs01HgIzGSOdOATmNmxVJE1iANtzNQDzLa+texYMbwX5zQZ/+fUfkJQ2Gy3ZinDnzyvOnwVSn/sKLQZsnKlLB5hcZ3M9DzMgmYWS8ydL4V4jEX22QeJYxlEwPfWAcj7G0VrJmvyjDorym0CG3/D6Oye5/+pf/Sv8y3/5L7/383DORDYK9TARaFQnFSDmbBt0aU6KrX/tTFqTGzwBgZuLHYK1EwSjntQuIN/ElgwEC36gijok5F1i4niarRrBDT0dJuDbNwgpQe9voWYygURa3bxLpDs/Xlg1tVY16CLKYGZLxZIMg8iL9+4NNCzh4AfUWZHF9vA5IFyoSeyOTPCHRyAdSQEpHY0SugMrPU7LCVMlpXOqSI9nQATj5zc0ohFSYtM5I75j6aXcDEBn7Uusj5o4umN/l01CGQLSpSAemTjXIZq+NcCdqxsl1H9viEBPula0pNppiWXDSmw8k95W+4Rya+1pLDiVmQeRbjpr+SKGsArCeSYt2NH0voPebRolU2yheq9fb5yuAgTwkJi3vPbSwzY0Xnc6s70UaUdG063gAVZIW1y0t4D2qWkn/+bX/xp//dW//t48120PTf2C4HoC4+iet+kxgyEm+XVJlgJYVOgdRVwCQMD61k4epC1JMioaFboVGao2pEojHfY46T1jW2fRYD/XzJZepDMJNNLgjQYzBRo8UWDF2r+L1XVWGzUCIXNdlq2bRLmbJlpw178XdEdu6v2BQUIaa9NKAfgejRgiqMHWwMxD7GNEZo3WOpohAaghGTW8LgyBNTJVwSTHqa1zhdOFQZ+5lf7Hkm8fy3WuLUtxAQCdwj9GT31OmSV/KNZmKApKR3pkqE4V5YHtyW01RKcZMjQXaqf2rea5ks0QJzpuD7lyaLsIVUP0sq1XsULPKrn52bt/g589/ZvvzfP5pkMo0eQahW1aRFrhhgUCmqihT1YMozFPuGSjvLJIUfuEsks2Doa6t+RHF8TC5nY85VaAWEyGliRLO64VBUhTHfPyjHNt+3qTTGAp5rA9iMDRS9fWUVNp0pGJbq4q4BwEEAqDP+5BlmRY1b57sgT3zBZfdLy0pHaqV3pKWCLDdlrFDurYWmRxrqmdjYrShYWN4ohSXvYNAKhrBN6QegVN0tzMDACSI39eYPN2WnOFnCc0FF5kOR+VrKq2BlM06rq28ZUKhOMFqBWxY1LAhMIKCesYxJdJYACdN7LQuZkzNLpanG2rNiQoZ0GY48LUUQBIUDPCCnNlAQcBun7WGfj5r//v+Otv//PvzfP44Rn17gZlEzm+E6w9C597PM6IH06YP7/DdMf39I9KfZgb/8yFDIES2j3kDc+kOGnr0f1xZwj2Xq1MSJGWApYnfRaVhcmf+9ICThwBTGKMMFmekSrqJlnirti8z8taAu+PiZU550cmLprAGGyn0GOCfj3wcjdkXfSPNJ9xRCZM2loeipmnSdVmmubMvJqW/cyRyvE+GqWY89pb4oQZjZ5do0A30WjussQBFcAuIsyK/p1CTheEaWvxpTH2rAgjFheWIViRnXtmdyxLa6poRmtzBoogXjqIcp7VRKMnv7dwstaCYW8FSCDMLCZcHkghzRsrCs+e0LAdDFF/QOdlLFoCKEwssnVm4P7BJBe2BgBgMxXEd0/QvoPuBtbpxtzW4l9986/xs3f/5ffmuQagdLA+yRwDT8Abi8XmX9kwyeyeOIbzDc/6+V4x3xXIHEjFvQi239rZbsn74YcRhz+ZgQCk98mAH0CjG7VaMrNX1KHi/g8e8Q9evca/+/UPgbd7xMsyx+YbJsPe6SFdgP13LMYdvkzITvJsvjv87HzLQk1/P+L+5ow5R5zHDtOlQ/e3A+IowGfA//Llz/BfP/4UP//uFV3bbUs5vd4jnA2QsoQ7vEkNfQzFzusYoVExP1SgCLbfBMSzvb8ohg+K7ddHlF2P7/5pxPiDjO0vO+y+tnG2ORFm0pMlWxFo4GdqUiAHmPpqcWc/ijEdOL/zlnlIdf3uGLD9lo7QZbD4ogPKzhDjWFFytCQXLWZrRd7EhLoMiu13wP670nKCvBE8/9icpYX7Rv3igj//8Tc4TAN++e0L1HNCHIlKe6eQmoB8yxvp3kfEkdd2/sTZCXzffE+681ACcOL1xGfuFZ1R7svA8fNr/C1kv++9/s5J7r/4F/8C//yf//P2/09PT/jxj3+8oFnWSNuDfNd+1mJ99wxFaQ5BgAWUDK7VgpP2eTYA7kS7ppdoFFTEqyqzV0v5+9aOJAl0kxDubi1ISgslqRoKsta3eT/XQKQxHelETFRZ4O0F1Nz+6IaskComvDbOvMDaplj/N9M9BBenZyBWawezoiGRhkBEO1SgeuNxAZpJlF+rOaa2Ax2BwewqSfX3hnmpQDtCUE3nFeYKzGgUURVBQF10gU5ztByiaZYn6hKv2nrY75chQrqAcBYEC/7XJgLLWEdICA1FpWYXqCm1gL7p2yO/e96RUtMqxEZhBrC0bOgUsmFbn7yJLVAUCyK1xKvkpTnpxoA/+Mn/Gn/w6T9DOJyRywX/+m/+93xTUQbZK90WIvDxSmvUb1HeuwWQ6iik9aatHzEd+Hnh6rPcGMORCad1rhFkH1B3O10jkK3HKzyJd/2RJT8FLZlzxDsYrKNBEXLkfA9gpVDdJR2AWiWwcsNb02jTyZDbadn4HYl3KcNiumBRbks2VgmnyEKH/+il11vC8v4Vq4GTIiwI1sdv9/3Ix8zHNShgVMkrhEsZ9K3bjjWasKNtqqSLSm1JsaR4TVFf35MlferSjXD9pw48WK5vHh99J6wg5/vZbxmf1Xz840/+Gf7w4Z8CU0auE/5v3/0fAQDpkiFG5wawaM49eXetridMbjAkYIJm+6fvS2zzg7a/S9Y2buvWTa7B9tY22qh3dhcCM3ez/Xl9T9+bF8v6kKJXCRAHb9kfpdr3gcFGOqHtPRpASldAQxoAQC8c8/7JHB9HRXfmPk6q6ZLQfP8hLC9v9+YSkbbXGSIa3PSo0RQX8yaASW80l6Pac8+VrNyT7Ls9oZewOivWzAPTi7fPNMSfCa8V5JrG39ocpbgg9/Y5TTfva9zvT9FQuCtnWb+2ADi1sdq+7nsz9WGC0BOxIEvJiiNJUBFoQCQwCQHPuXjyB6X4o8/+F/jDu38KGUfO81/9H/hPuy1ESTkOVpQA4pJs7jrIvGHQfuYF5W2E9331lnjiRrYKQ4Qp22jPfvW8ahfg5pZQaUgugKV/vWjbM1vh0AoytU+LvKFybMrGPC/a3LHnHoX69qrNfT6OlaSOEFqSJQoyFy583jLZ2qqg42plguYaQ8kwWiiRH/E2WRWcd04JDj4mLBz5exp11n6f5oMwt3vuA3E2dH4IFjss6L4XE8q+B/ItdeOFD0B8DYnFhMn3IbQC7FJEt30omR+Lx5wr+noolR4azs7qUqPKxtliI4tTJVgRTFf3JCyy+/OYd4ZSW+xSO15vso4aNQF5JxYnymLSVS0G2AzcjD7e87qIP/zhf4affvbPgGlGrmOLW7ojUF8yKQDEaJ9MvgEgTCwszzdMpnjeL7Eu9xk744uf/VyPE1iADbO5KptzstOL3UiQBQ5eczoJdAz48OYG/75ETO832J55rx7H+e+vTYimm2hzieNRO+D4ebT+rdR2Dm+pu577inh3xKn0GJ8HYLIzLALv3u/xfx7+CV4/32B+os+LbAqZIODcqUnbHlx6PuPuSZZrutj+YwU3DUzA4si1VBMw328ILJ0E5R2T/uzMuGk53xe02f6y4qpulD44HucmbUwjb8HnyXc6C+pzQrws8RkL6E7SoeP09HoHFGBz5r1UN5lKpFy3dQvqrM8vI9JF0T9VhIil1V7H7a2OEd8ebnG89ND3PdKF4CXbAenSX3ng/lk2zDnKRlE3FfEUMLwxVtqJ8bq3gOL64/i2NkcZ6CbWazXh2uDvd7z+zknuMAwYhuH7/xANvaiARtKstAvIO9KwotMpzRgEupiZyFwgYwZCQIjSquvNGMYq/WWIcB0VsNBiPNirXvUOCtfBaRdYFX0YEG56tH6obpA0V4JrriUVAZLrbQTxPCMcRtS7LU5fbvmzsdJsIQRIx4WZLrpoX2YiXeVi7UCKNKqFL87lMERzGSWVy6q5CbSoHyyxtsDGaYnu7ptv+Syu9MbqlDAxqiHv12nBZd/TwAlowVM65UY3dp3q0qR81fdThEmdJQXxOC8JVUMeKxAD5tsOmgT9UwCeANcKrQM512+XPqJsE0KuSB8uwIl6nTKElpirSKMsXV4J5ls7zNc5YeWGHmYgRyKNfFZm9z8prpHESoOVutxX7SN06JE0ID3PEF2WB9sCofV+bMWSpnexwNK1cgiAstLq7TnCmBFOGbrtMNnzS4e5FR+0C81ApxWERKB9QOmC9Yf8aP3ZcxHYYV7R2gS1tjUAgG55vyXbazaEo6NahUGGCMqZWrPSCYojuk9oh5xT+zwwTWcGPN3BjNkUDSV1FCpdCmS+NkqrKz1bME0iYMGw09fts5qJzjpQ9wAvcS+SubYDuvYrvlTw9yoWuHoVMFjRRNYTtSVLpkdMEQjeoqS0ws+i3bV+upaNaBdRo2nGHF1cGQnR3Gl1DzaeXsCZb4D51gJE683NggEDlmQOoM1Y5OTr1r5fmvOBUcQrdOiBfoN4GSHziboye3Vvzwj7pf2Vt4iprte3/UF8bxAslLddZ/dnLqHW9gQA8j6hRpr4xVLtuVvS4H1K3cit+sThXk9qMudGFVIYJSvCWmsawLPItbtetJnMLGnTQcQRfxv7DISgDW1KI9v+aARGQ2fSBdCRQUGYsARaBdh8KOiey1JATAHTXSKSZ9qx5jcBFjLECyj2POJIhoUH30urLN8HsBRsWnGNnxkuBelxhPYJl8+37BX5IbOVj5mVaZTWe74OZN/4sxMR6MDAven4cyG610WU/cDnc5ggpdC3ovMWfS4D8ACS84MBKj8/jFyEZd/xDBerxLf5bYhWILqRt/x92a8KG37fIRhSXq1NEnvSSzXXeq0tIZf3T9BcILd7yHYA+i0QB+iKxjl+tseQFf2HkSyHuQD3G5ShJ230ZYeyiYhjwfB2RL7pcPxBhxpJq2Wbv4r4rG1v4pkLQLSt31bvCKARk9G2Yygo24jpNpDpcsmQrNRKKlD7wARYWRCVwjVUNpFa4HNB7QLmGyLB3SEvCKXFEnnDebs7FbZiK4p4jtDYmceFJbCFg10vETUqtOP87h/NPfdAhLE70/ipRsF8w30gXNgKyOm4rV9swJK8jrWZzXnCl7f8/XQsNPay4odkRTxNkKKkfgsQZ0U6FmgKbAvUCy6f9ggPnVEtWSQO7kkiLPqt6b7V/i3vAqQEMubGanRJk6xVpUmZ73FTRXec2z6ufUKcKjYfSjs6yFJi+yg3FGqmOBMRXY3A+EKQH0gtLQN/NxQmLcM7xfCkOH0WcPkECKM0c6zhUdlGqQ/IL/dcW2dv8M0zlG2NtoxZH0/AyhNg97ri+VNg+qRAH2MzkBpfKDQq8i4gjrb+dpy/6WyGRBdFhOlHd2JGqUxkxxd8mN1xYTPGk53jJuGr1iWi9oq6AeJFsPsV59z0rkfZ9LiZlt+fb7iPhxkIF74vXRgbnz7nGrj5uqA7FLz/0x5Pf1wRLzTRSidg+6YizopvNh2GLwveXDoMv+oNGTc086+2+O7f/xAQYBuZ/E+fAto7uq901Y4ViIq4y1RB/HyDZElkmJmscg3xc+sAwJg9eSN4/gnj7N03iu23HK/xJe9p+MBxmW+MRREdWeeZXitQ7xUxVZShok4Bea+o9zMwRkhNNDl8NlbFJOgOgUng0eMugj8hADoC/QdB/EUwueiSZFehAVreWjEm8PfPnypOnwO7rwO2bzKkMJ5nX1/S2MNzwpv8gHgMuPsFv//ymbelUuimQLqKzY7z9SJAnQWf//g9/ldf/BX+i2//CO/+qx8gHYHtd95yjfsHi2uCGhX5hmf89mvB9k3FdGvgx/w7Ksir1+/fQqghuVhMeFaB5/IeDwJXlCtHgBsF1JAYP+Mc7REwqDU9YnUEoC6UN69KehCsjgKJoAY1lOP7qX/rpfcx0tOuza5D9Hu/6wkrbdix3PMK2fJWQ045A9BaBoV5FSTahumVSqhVRNU+yzU5brYR0O7RY3KV5VC9vk5LRle34AezWPHAKVVeZQawBD8r5NCREqllhayEZfysgKF2Pa5X8u9cKtG6SqzFWqow+GvoliNEgYcUzQQ8MNLvJblONfNnAwiymR4BsIpwQPDKnpvoxOX+ltYbSvOg9XxY/Vk0sf7v7Uu//ztBrsbQx3H9PtddC0AX7shkVNdjpIBEaaiif69iSXSB2sb443ZKV9eFVXImH48b/6O1awhYmNBWKAiTBesWqEpZqv3R2g20r2sorieXNhfglXDfGz66zpW5TmsW4qi7/b2MPa6pxB99Dkyrf1UFD7/57ct60fas15/cvruKob6rf/xt473a49aJoVe+v3cJIo3u433hQuR3BU92K6zVgTbX8TAbkh0VEq2oWIXtv4JpZdbz0Pe/q/FaqL2cTyvn2eToulE7fLxE2pptrqlxmedNL+f37mv7Y6gztI9ra8JRv3ZuNOaNLPTkFXraCg7+fNf69BVq3t5fF7ZByCw6SFaaPvneURhsw6lreSlQttYu3oIOstCty/K9/rxXg49WdHLk/LfN4f/ES1d7krOlHElVQWv/1v5dFgRUV3vHleZcsFDVddnjVUibbYwHu79WxC0frTMbi/Wmp6u5sJ7njoyt3yOGoNBcxuf5MgfaORkCPyAEwFpqtT3Oit/t+9fsDtdsp+vrW5sROTp+5Y7s3/13fGTuqBysU0FDO53B4Ge/Fb2Juq/3Kz6TK3bDx2FLXeIK+fjC7Jkuz8TuR1dnZBIUmNbQEMZg6C2BAsOG1MdIoPK9VbycIx5jVF3m0/fea/NovSxb4R4tWa6oELWCTWPcKV0Q1x/nGmjV1uqofaZf13r/Ccv1ShtnuYr5nAHh2my/tmpjLsL9oRm5tem+YjAkD+J1ue3IBMMDfA1Ee8sAiwv43poEwcyvQheX+Cjget1/ZJhZg6AmBUyzvGZQkClkMbVfk//byiiOUg1pRYz1uVldZmNGVWKtd1qiX1nYayNZPVawZ5t977DP9/et5jbp1IAY4yMaxV17hY5MPGn4Z3v4JHh/2iJfEjozrHJ2UxxpflV6NM0vv8A0xsViDd+fFFBdnUEKyGzbeAVjYV9Dvm8lmG6bTJ+1m7TfD2BFkQo6NqdlnBGAMgcUgMVqfw7BpEceOkRQeiIeY6EhsW3v9PWTrWArHj/b9+WPz2b+XQel7nUbrWhl+5za+TeBzyzH5t7Ns5C6YQwK6SpCUsRYeRyIAhoQQ8UmzNikjLKhVIgxBW90nfcBS8zJX+d4xwnQjwGf3/L6vZNcmgR0DQX0inQ684mv3WBbYnq29jWJiAG1E9EWN4M00ois0pYCakDTEk031L10J1JxHDnwyj91vt5P1R4msGhbRABDVwAwmHYtX66QwBY0872hbSeikHlvrsndsiFLAWJRbN/x90u/OAB7NbPptPISHMVLMboRk/p4plssLeoN1u+DIQc0eSjbpU1DOmYIeJ/VkG83O6HmazlYEAKrs7q0Q1j3XmVAvbR/ajpJtV3cDFpajzgF4jhD5gxNPY1nsBxm3SNPHY2CvO8WK/8gyDuivPFMw6q1oUfZde3QT6eKvAuY9ry/MsBoG1hVjG1Ttr5ldcCCdBVuGGUQLKYGNPsYggWWZUmypNBkR54uNMLydkH2qkMH9JFIiF5TCK8QxqpNi1e23VVQX4cESV6Zt0OlY9uUOrDNhhRFaK2H7Ls70x6vChphNFOr1WHNAzEA/WIcdPUsr9ZtYM/AugqyCheL0xrDWDE8oWlv19ThRrX361T/GVrw3zbnqq3FCXV7ie6XNk+jJUZ1m1D6iDCCLbPWyZgjiRZYxmrz2otZfvC2wM2CnBDMMXht3sLAvZn7qAfnFc0VdqKeTTddo+BJtXZALeGDHaCltZZqxkeeEKzo7W4Y46gWAJp9BZ4sogyUqhLBzVu2cSg3Fd64nWuXSUw80+ghTIK8paZ06ARpNEMkm+e+3mNRzmtVyDhBxhmaM1CW0v/8agvZ9tSVVwa1zfTOz6E2xtyL4vnanEp3HdxIB7vUWDhSDDXdplXCRafb9f6hHduSrY2V2O9a21zSKJjvWC13jwYpemWM5SiHGyuJTclFBw5DcCvkhBXio+gPaMlUcPqXPdpgWrDasZ0dTYK4V4SRA9T2llwgp8Jr6ey5yzIn/NVQOKf2RkpK/NxodHkFkcsKzqU924iE2dB7Mep6VfRP5E86m4MB2goVTgFqjQqX4NKua7XWy64nonvJ1GjbmU30cobUSo+FXK/YF8WQfQCtPV7oluIlzW0cxVHM94xEPcmtO0NTHiPyE7Vm82nRTqepogwBZUNkLokwAegeAFWuqyj0hzhPV/t5nM0Ho6f51Ly3PW8mUt8dCo0AhXuzVGD7hnOrWAeEMkTI3Qa1j4uu3lohBSvsNefk1bMuNdiaJBuAz0zMIEjg5irc38PVXuH0fk/Ifd7AzqB0mtE9VdQhIdwt41+GiPkmIe/Zy9IDXm9Ll072uU5nV5gDKpFKp+C2orpTlhNQJbT1DTCWWc69Zc+m7tP2cUs4NbItT0OCg0BvqQl2Ha5r3CUIyswqQ3FTK2c+1CXOkiCQqOieZnTvTtA+IZtJlHevgOq1Wz2oYW8knqoQpYdGM09VarXTAW1frYN1rEhCQ7Gxkv20IYo8mfOuu/069VSHiuHFBSLA48sNZAxIR+7bGoi0htlNfIhicngjcEuDzzhXovNjgZws5hoSNC3P/emngrrTK+BF6kK5zXuFdhXxGJAOHO+yAQqw+ELMNJoqG2B8RRR7eMvkBgBqT03l7U+eME4J+niLePREWbmnBMZjdQD79FYgns3fpef3bt6p3btgvlEkZyl6shuB558EQAKmW4VMgv5R8PCzGVIUxy86zDvB8A6Y/+0LbD15C6RJQ+lU3PTSO7IwZRagRMTngHTxwrqxK98nfkQhxbszKVapgnzD69p+p+gOljwmYLoVnH7INdC/C41C3D3zDJkeGI8O74jSnz4LqAMTx3jhuIWpg0ai+k4tzpcIGQPjI2tdVAclTfnCZHm+XW00lgzSqMoOvwDMt3zG6UTJTZgU6cznffyh9dh9kbF/OOOkN3h6pOdGMWOyzTtF+AaNdVZ7wXTHtZuOnCuHHwXIJxnRXbhrgBwS0jHg628f8H/Bn+E09qg/ueB0ichfd0hH6rLTSY09wLN395UgnRXzDXD4Ed+z/6qiOjvkP/H6e0FyG83VHBNJratXwf/Vr1Q/0BMF/l1oBiw+4eOFh0RrdC1YNsqeG1ycwJ6YRn1S07kErJJMoxOqw4vm5rxG7wA0tMdRU90K8pYBTDrnq4PZKxpNk2GIF3UMbvvum/Qq+Zy1bdhhKqR1BwY+oSw/w9ajKSYvXg3lmDEx8ddShWGg3xqFf1xc8MqoOfZeaYHt/j2BhaNwjqyuUHFEMWtyC+IdqTR6YAvsVFH2PceieLAt7Tk31qAlmQA+ohLa4khWJWyHGtD0Zq5Z6BiwFtONhsyNS4M27YJGJgelh5lvCCSpHebckJAr5MLk3fuitldcHdog/XCthWrjpY6My4KkenUNApWwUJ2xSoCTv38F9rRECQvlsdE5+V0fI8LtcyFGP7ZrXO8HjmI4olNwjWrav4WiwMxfpju2snooH6G1thbCrB8lQasigjtF2z6BCUtbGlUmrDunucpVkO1tohpy4n+vx9ERG+A6qV8leQ05+2jsl+uVBe39bSi+jd2ypq6/52PEfrkHmzuWWMFRCF0+oo1lXQ4QTYBazzuxYg6d22F+2eZCXzge6cx7CVOApmoDB/4w2Ydav1PUCpRytaGUISK4B4HRQjXQ9VXFtXWeFLGI2AoEPgReNIEFkkGW8yBK63PcyD32rIP1xnX6roqv1dWzAr8LZlKmEYgj9xjus0yU3NRIXJPtr6pkHa1eki2BiALdSENrIeZMO5tZYG+osVfm7UxSO2MALBpRn3dm7IYQyEb6GP3zIktD031fRSsqqaFcDFS4+7S17/KehtoStYcbMgmuHOt977wqwrTvlPUlLFMyCvc8oVcFpSY2FsEutihEM43PjOLu9+kym4b0rm6VLB1AO0AHg1uK7d27jJgqjaeyQCcQnbSg2aa/mQoFm1uhsYdaoa8VslYLrSh04HlUNgHTTWiJUkPpixs0WYBshWl39CcStiS4jXkQQElWXd2nD7P62rbYYEJLnGuyInl05BRW3JIWZzgjzOfGmjED4ToLZxY34qqYRiq/tBZlTq31F6VT4AXadTZNaNHWy97PNDH0Va3YF1b7vq+Blsz6OlmBEZ5cuxGZrNZMM7ByhpuzcGwOi8Ufa4ZXKK5rXmKWkCvkeAbmDmGTgGTaUfcZiDZv7Rn5Gcy5KnyGAkgQRDsXpNQmOwGAILZPRsYRLPilZuwFWcWnAQsDrVM83JyRQsX7UDGNHbIOSIdo8wrQqC3RrJ0hZIbwu9N6QGUBd8rw7g3rB5tvK9B9dC5XSzihTLg3BXqxcxfLtZYNz/suL8Y/XKOAhrjEYZHo9IvdGc+xxyHcAGoSmiab4XyuVsAJE59ZMemC2M/8vY2xl7AcsQLkPXWyjQ4/A/0jIb2aOuQdk7r+icZM850tDQc+8rIu1c2/FIB9VnBFgyxj0c5tR0ALDFXkPElnYHgumG4CZuu5Xm/ZTitfOkCsH/HIgkCxGkQ0o7ErpuHo4y8NbW1Mi0LKeDB2Qu0VectnG8zUjAwAbdKmJVfBst8mZxOYPGDk9edNaIyK0Bfcbi847raYb9hrV1fPbniube3Oe6B8KtCk6J8EyUwYJSiCMWpq5fyVGdBzwofjFiLAdjdiSgllmyDFxqkh4mShpRONHadbJr7pLOhOinr+/1eSCzTtTUt4u2haEWqpZDbKmze2Bq42wGKoK2AbFdAagTdabkIzsEijtsNzHfyWAGBvRkMTAxR/UePRQYbUegryixTepgdBLPDGsrmb07GAttoxSdN6tA1Y0PqZAdzkUZZ7WZJ0Tk42JO8gRdEdiWbGU6YpURepJbWDQQzBUWEgFs8c5+m+Y2IxVtOkLMEgDTJY5SUyEuExPByRtXFR00PWFJobp7dsWqNQTunxiq2+2ELysEJFpCHBwQ+PUhHPNoaz64MLQhLEw4TwfIHuBuT7oSUpKjSLqoMlwxMTVWDROdUMTB1QNz42PDjk1oKiQ4dwZDbWFubMgzzOS8DlAUOYih2e5B1pipChx5rGKZeC0BXrh7wksO0dlug5dc7Nd64oWE4jDmiGGLmTq7XQKpdKwxO6eQcr/mhDCGpa5p8nksF6Knrbl5YUuLtqQKNoi/UmViv4tOsF4Il67dkawdu1aBDAaLEtaMUqOLZxaPtC1jYHpdRWRNKZQZsOsSXha3pNjQEY0JgD3GNoEKP9YtpVN35afBSVO21r9fL7bqzWGNpaEIXledyfJJD62II6R8N8fKz/57q/sfZdGzs+4zWnazE+ch08r8nMmSxpUsD0LsuBWjYV3R1PXq0BEipudiOGLuP9847GGmOAxog4imlmYOyFYBQoPvu6IZNgKXiZY8rqmcVTRtTSUA53OzU+vF0klnUPoG4YqXiQWqz9m2I9p0Pbs0O+liK09+wWeUiYud7zJrT3lN68Dqxgks5ct/E4L63RVkntQhlcEisWMQntelEmTubg31DUJdAIZuaFbK7IwdE6Qbys5reZJ/q/4UKHaQ0CDJ0F+KGtSQSYu70HGn790ihZsPusZigVVr4W35vvQ2zrgEyFQCTdPpN/29ttPTJZu874W4FUZKHvGoqMlUlPPE18T8dWct6jWzu64vILVwmt7RneqqJplTOQCoiKRIWkitgXhFix347oU8Fjt8Vl0wNjRH6OZoQU0O0CulO1fVKbuZlfbzhmOkSbu3wzygLYu3fL51XjioVi40xX3s5QOTe38XPRP4NO0jVxnkLQig3rFjFtDq6T3kgjq+Yybc8mnRW90V4dWQ6TdSqYAkJdjZ0u1NkyBOiGOlS5Md8NZ6jYmDRvinVe7AG/XYObqF35h8zL/Pa17RrXdLF+so2twvvyvcKdij82z2u0SmNetWRQ0NgM/mxqH+jDIrAETdGVakE92+94my4paNKN+a6HjHeom4TpJTsjdIeMcJqQdwn5JiKMimQoaIjSYk7v6tBMmGZKVspN39YTYEm2FQ7GhwS59948aKi3j3OYBWWj0F1Bv5/w2f6APmRMJUIEOL8UnDeJLsbPRG+nB0HeM3FI54A0KvrnwjF4HI1xBGiMkGmGfLgglEu7vjALMLEImE5Ch3AxvWMnqENAtuTfvR+8vVmYBEHJJhpfmlnQDS3mx88F0xhMusGb/MVff8YF/2nB9OnyrNNTxPBWrii1dSACmHfAdMcCC70erIXMvBhdSeG60MDfqckcdw3BfP7Jhtd/w7OvbJbPihcs55sA072xxobVfpgdSaY+uvamUVW05O78GbWheScYH5gklltWmod3ESEHTDd8VlKB7S96su8GJqJhEiT7PMn8u1gOkc4KeWPngJlSiVrxx649ZEE6cm5VM2VPR/bjebz8AAEAAElEQVSL1ch7dpM4sQIDlEn1ZW83b/MwnoHuSLbY5afU3ovGpYXbCMivNnj9zYDhGFprJzfZm28E0100l2N3hTZdvQSkeya883c7aFKE/UxCymcjymfAfjvhZjPi8bjF+M0O4cKeu+7wfHlJ5qb3Vh5fCOZb/kwqEfXDlxFl/Lulr79/kqvKA8SrWyKoux7lk97agVRKd4yK7KgArLIDRUtgpYC9yoSTuVXyVBuC67TI4CgIsKAjoOkQVDDMi1W8Jxplw+QvnnOjbXlw6UiBVKPFqTZ3SzfycWMnpye1HrbRKrGR1ZmWPGW+nweZRfCWvJYU2LrozYUBmqFaMheEyajblmBosCp6VqRakDeR1ZUKbM4V4VLgztakBMWFUqvakhiO1XXAoym2hLra+Hpi4fQpfwUzxpCkjbqQTgXxnLlxrNphiDAgk9HaLMwFCDQj0RwQDiPk+WjGJaQneVBcNgF5a5VAt4kXDwYMnb0FES6fAFGxv73gbnvBt7hDndgM2xEpMeMYD2IaBaqqtcPQJXgMgVb9KzRPxglhKEBgsKpx5S4LLI3jnXL1EWLjKFY7+CyInnehmfSEvMzzUEjJgxq1xtxFQ1ZuYp1Vcl2HstYHTmzbpR3p9fA2CSmy/YlV/JELsCF92B2ceS9GLRarIJveVgNN17y3qLv4EdXGVbLkyJG3eVlcnJdxqMm0XR5Ur+ZmCcHG2hLDI43CCrqWpJVh1Vbk423po+SGbu9y9e8t0YLrhuz/Y4R4G5WZlXI3RZJcEXJuhQBPgJtLbVHCGo6We/CPShSqakvIyq6DXrWUskPagju2t1Lc31xQqmCcE0JQ/PThHT7dHPBX3af4Jt5ivPTIxVuumXHeJXCtFm0IQO0iJJqBWa000froFaeCEMpi7AVAJMK1tq1PqBVWVPgcOKiW4CdPYM1kKEgLPLszs2Q+//YF/BwLYOKk6Iw+XAYbCwkInZphH/fC/omGeuFk0okuAZu0XIuxTFQEWCPNhddA5NjOKNMaalbmSasiZpgVotaiLQnmfSKNdiwIFz/3liKF62Mpj7BeyOukET4nGVSHoEth0Rk1hp5pEJRIdlJwGr3fX10KaxFYEul0zXRYJEN2XVNZZCrp+pxF5l7Gir8VPTODOY1CKUS21kMxoN5toDFwfy/1qlgax1Ux2dYik3VpTAXf38XYJKEveHF/RB8L7oYLNnHGtptx2A44Xnqc4xZ1DBjP0dxgBf3jUpRVSEP7ZC5E8tqAXzMW6ia08y2aq7sjPXUQVAjyxpMotqD24BGK1kqwdKQaU2bDPXppT4UlVlnvjxYXXF5aES9zXg5Piv5DRh2YQIdZbf8uTZNJ9oYlItYrvN4k1EGQjfofp4p0snPNwyBPcquvAfteVUx73mecgeH9vMwH+NmmyLuEsk/wojsLaCxc194S4LD0W43m2+A9ZENZkGencLszsp+lfuY4aFBNlkQjSrT7CaW2M8iNubxopZEdGPIuIDwMyJuI8Z7IY/+hIh5Gmlv2tp9PLPiGPgJBqWPtrMjn7fGs2Jm3ibEPlvPDez7PO86HOALdubbiHMB715lzPG0y9tsRX2wf0UnF+3GHUgXD/YzwALx/3EM+bCBVMN9yLaaNoDsB9QnoHwlghOcL5DJCNwON9aYZ9c1blLwYrMkkZLVZAtQ/c/zjheM6PZiBUlTknSWU4N+kSgPTC0X4/IIUK7qO+13uMmoV5EuHcomIx4DdLxLKViF/fsDL2yMOlwHTnDDOO6RTNPTRznczP5ruFPlVhowBcYpmdMZ4w02Iwkwkz6m+bCtDo6k8CE6fh6bp18hkvewr0lNA/2QUbNO9zntF2V3HDFJoItt/UOy/mTHfRlyqMTtGxmSnL4nOEuQAJCpCX1DngHkfkc4058o7ju3uKxZpn38KlJ1CD36e+J7H6wWYqHfHZW9yrf5Vs42jId/Wfkcj50E6K6YHwXijCKMgPfua4hrNO2B6UaFRoR0p3nd/GdE/KS6fAPVHF1yGAf1jaMzUMJLyzU4D2lgnTk8/f8Z5mbeKelMAGwsAmFNCzgHxGDC8iSgbxRwUMhR89ukTPtkdkWuAquDd0w7br6OZeXFM5r0VPJUGaCqcI9wruA/XHjh/BqxqOb/z9fdnPLVGLlRbu5yaBLDKrvdFc8pKUDUKA2k06IDSr5u+L+6U/tAEVgmCUZZEmvidGw5/NboBS1klnRZwun6lBUC2YTttzLVLEbbBf4QK8WbkKrmOU0UQ+Z4esekJxA4E0xBLZiJDvfGyadZNbLqVNpxW3eT/wBDguhxEq8p/QIDO1iN0lTw4UkonZ2ktnlww3hIyO2Ta43XG43V8Zk3rASkBIRtKZfftfTIR2PcYhUgTIzW7120PhFvU/YDSMaHxdhp+n14Z1mibYrSechtquMSsyWmsU7HpMnbdjLubM54B5FNCmDuOqzXfLr3w8HNNaV59ZYzARpgknidI/R3Kdr0eF/GfAcuasNtxNLQMHuwvaFFNPo+kHZa0dqcDpRRlo/iNHbgWxMVmOGQBZayQGgi4dzysF0O3Zdybq/CKztvQras5J62Kv8D+MCTGkhmvhFqxypGbK6paEBaNbA01d2r73bpCsBe9lLTCRkuWUgA2aWlNo6vEYI1gAdQai+0jK2rZVeIbl6JbKHqN2lcPvNWMRWShWa8DVad6+vryQRJpRYMgFZrrkmAHaVpFtTXoz77RFXujNW0USLzHPhXs+hldLNilGVEUQ8zY9DNKCRi7DtXNW2wOlcGpTTwcgj//37CdtXufCqQ3bZ7pQjUt9MRmzhStD+vqWS9MBWlz25NbnyulWz8IadQ0JsJ28ItcJaTRaFfcl0waYh8jPpdWc2qtd23MiMCCw3rfl6LN14e699Uea+vE9cihKILRuh3Z9ed5NbcyIGLjM0TO1xawW9LpEgJxyvqisVzvw63FkgKoTJiDrgoKIaA0Dbjde1zW0xp5X7+H/XljQ8tacRfC4mTAsp9j+X1naQURQDsWvPwc7CMAc4gHVvQ4O6dDuEpcfMzKjvec9xVpk7HZTvhkd8QmzuhjQQDn+ZwixmT7WvD2FJzj3us2uteHM7NSoDSpFGCagbpoz+NcG0vfz34VIrL0nKAPRoiKED9K0Kz/qye4TntUCPLWqK6GVlOv7QVb/v60MWry1tqD2ViJFT25gS1nb911UO+ZPGVUIc1DshVoRYxuHyl7sn2xGpXdPSJqF+j3saLcezxE4IBxjM/DvGFxqztmYzHIkrRZckyatT1XQzT9lT9KBtXiPW+HqGJxkxVzmsbWYrUKNBq0JmNNrc5YNV29FwiuGSartaxL7MgOCtx/o3mBZEO+i3e0KObDYmeEKDCH1MAWR3fjVNveDTAhwoV7Xd4wps2W+OaN0X+Hii4ViCiOecAQMm67EUkqphoxlYiuz5j2CnEEzZMjC0eKebakuy1kWEJ4TRGy3yGUCLy35zQD6Unaf0+30j6LRQKx+aqkcwvPoAYMzBzDWgRlTpgercNKtOBmFqCSVXf+skCToiuCp/MG8xxRSwDaegCmWxDdm2yczwJ5mxpiC6AVqdgSkg98fFiKcfEsmG6B6X7VHkp0YQKYQSNjWRileWFYMMldkOV04n9P98CHXd9iTk+oVPid+q5DMddgnQPqU4JkztvxXloLtNqcl9ESQ0/w8waY75bcKE7cX6X1SQYpwLfSmJ9rs05v+wNhgWJ64LONJ/493S5zxZ9h98RfYA4i6I7sfpEOAfOHHmn0Hsk0mwt+vd1ydkvTCcIK1zZ/pgBNCtkUhFiQHortcT1qSkysexpQjXPC+8sWfSyMXTYzDp9XxAv7KEthgSLfFITRNOLqa9qe8TpjvdIK/vbX3wtdmYFnIDpgm013ykZTCZi3AfFc28ZxZTGfaQAx7x0RtUrNkRSGvGVy4BMAnpBFIA/SnEd9AuS9b7TcfNOlQg4FoZqx0CrQqUZBFFVSkj3grxVhrMAZDPTWlC7PDfwAd73OobSKrWt5aseeuW4eEcaK5Jb0lgDUIbZAygsARPKsEl48ANNGhQpFkd4ahdGD0Nloy7nSYRVY0dQMRcgcbw3CSnU0s4TZtBmGZldjXro2qcYlyXZ6dt6YfloBKdamZ7bewxdrWXS/Rd6bmVQzn2Fynu8H1LRF7ULrdRaktuCI9+Y0cG4arOBUlIeMMBQMm9zc72KseLk94dXmiE83B+AV8IvnF/hq/gTxGNAdA2oR6ge6uJiBCalIqAodImpISLlCD8erlhP+zNbawPUYA1ZACQx2Wt9gG/vaCcbbSPtzd8yFUUPc8MP2EalsdO3aYa4BatARiMw5VX/eclzSKcCNQWTbLfRld8c2k6bv6VYrjE4LshsC2PLID/ILK9JuRBSPRGfyfjHKcm2pB++uLebBFhiYApa4m3mXzQdYoM1CBNcu5x1akAwByi6hlqUYE6fFLb3E1J6DqDIxG8QSJJtzwoAPFVDwPfMNke441YZKN4rqVA2p4Pr2YD0uBdelcOMIdIG5GNOwxOnqlrcDIOow35K+GmYG0q6VyxsxzRGLOHVbyR4AsO8n/Nn9d9iGCQUBVQV3/QXzLiIIMJ07KNgipk6s+M77sCA3VQGj6se1G3qQJQMFIMcLZNhCIhOovDV6ewaC1uYnkG865N0qopWFJticn3vBdMvnJ66FsmSYCCm/ugzSAgOiNvwTZmB4ZMuYaR+QB7apijPXGf0BOLdh2sXl2XgCbkmjH5LrFmmOqG8SA0ebwwyAuBHVTqC9GCrFe0hHshPUpCut2CiWAIuYxCBcnXfte7MzSSxQ9oTYk1vbVzzJbOvKCqJtLg2x6aUctWu+AV4cVus9rdrOKzJDLBm1+exaayShSUiurV9pQ+hNbqR9WBBzAAiGjDb0Gy1pJDMnNrPGtc6agZrS/ObFhFd3J7zcnvBPHr7CLkx4O+8x1oQKQRBFrgGHVKFFULZ8PvNeEKeA/rkifDCUaddxvLsI3fSQ0wV6GaF1Kf13TxPKdovSmBS8Lp+vu+84pgxAPcG0PXcXkAfbx5Oz1Hg/ebcEhvQNEXRPPLPjyPG5fMI2eDVqC6b1xDP/8kow3hNp2b61gPGhg5QOw5szQqOJW1/58wyIIO65p3SHTKRy15OiGwQ6c6/Pu4DxlqZTw1NtybUGoDswOXZdd+kDTp8k1ATcfKPorU2Pywnihe+d7iLHwu7ZtbEqwHTD2C1O2nqmx6kuhVYsUoEyhCsUGhV0oTapWrb1uWbwwZg3wdhznqDDe2JbLLZISMgSE+Xhmw5sw3R5RYNIR+mHDzPS04h8N2C+iUuxThYTrjTTYEsTi9EA0D8WdKeM8yc9jp+Tzjndkdqa9wodFLLPGPqMLla8G3fYxBlf7h6xjyO+vtzj9fkG8y7izcsOdQoIT8lkKDRqEgXG24CwFWjYIk4D0vNM+UDfQe7vIOXSktzuBGzPiv6ouDwIzp/ys3bf6UIHzqDDb1eBBJTO2HJ1OSfqGCHHhN03RDjnO9cLW3L5YsIf/+g1cg345esXOLzbQaIyXqkwTwPg8kUGuor+2w79oyB9ALqvPLGzR1oswZ1pnzDfAMcfAhoUmzeC4aD48OcVX/7pazxfBjy927Po6M7O2fTLQvPGrgK3v87onmfM+x3GV0Co9HKIF2D/Ncfi3T8G9MdnlKce6UNkpwhDs/tHYPNGML4SXD5VxFPA7mvGv+dPFdODxWUWR0w2/9KJ1OraAfOOBl36ozOggvltjzAGOMOzewrYvGZsePnU++LCfH6Y4JFVx2dy+fGEzf2I6Vd73P48YN4D5x8WaFR074kupxOQ3sLclXnudCfGHdvXApchzTd8z+Yt12reMfFtUkVY4i4s1rjHTTxwLw4PBdvNjD9++QY/2D7jPzx+hl++eeBqtEry8dzjeBpwf3vGdj/j89sD9n86YZwTPrzfQ8eI3asTfnL/jK/e32P+xZ4u71YkrL02SrV3ovm7vP5e6MpNjxgCP9EcTQMqii4JV3OOtA2RVQkeGGXj+gvAufAh8udlWIJPsR6DUKOx9I5QrmK1NdrS0CSvKHp12hFXC/SDkOFWluq11Mp7smCpvexjHGmEfvT7wb/b3r7St7Qk2+gvLWmOjuYwqasAJAnz48hKj1N14lR/4z26s/W6NcUaDUNiQuiT46oQYtenjgD672ApKrjWdP1+v44rcyMLOtdazZZciX2mIwDrieq6Hg8SrLpLe3pukprABDJS1E7QVJFCxZAykqnWqwbepniyvJpzyqK+t+Vxmm6jGTsq97H2ze7b6aWigFvzS5tHS5LHz1w0tWUAtSi24fscCWVBb9aamGoPyJECR/pCUFSzcF8/y7WeDmLXZajyVcsdfw4f/yysfu4JsSUmNAQVmpL9js3l6nk6ouLD6GifIUU+Tu5W6s980chef67wwTbUvK0l/3hfT8r3tSDOqOXUKtr9dNIohdXW2ZXhQ5Wm0217go2Rml63mdetTG2a+7Jfj92n3++C7AFahTWGzvRRiUhnGVjx174idQVDyhhiRh8yUrAgUQKSVHShIAZD4UUZdDhd1YzCSIdf9sdGZb3iQ/n9LXvIuvWHoyTfazm1ej5uBMMxRkPbNABiCZC3JWEQRb0v17UjOYAET4ToslgtcFgzChpCaevx6s/6+lThGPuVmdn6ZXtdYw/Yz/g8l3v7/j2vWEbwNWx7WGMWLfe1IJgCsf+Wdj4u1wKgIW2tmCoMKngf1+tHvQhZlvXXrlk5DxSL3rCsPSV8P1O+V2CmLkGuEtyr+62gV8RHP18n5q6xvDLeafTThblQO6AOFbGriKFCRNFJQZSKTgqyDVRVQW0352cvmWGlYzJVTWKghuzXFCApkJYfAz52HGttoVr8YmPcnv2yjh1VXQqRQA1o67b1nuxW577amujselzL2wM16fJ5lhBXgMmd7VvN8yDI94s4fuZvu2VOrdZCazGD5VrcGJOAgLTChw+qxwNOs3VpDAuQSxuxdfDhdOKmm/eKnscPvu8au8HlL+33rXULwqoAC1ydMW3eqQKGvjnrqV1zJBILLGuOrK1oDCE7a5wl56ivf0Y7P+32Ptrj2vNfjZGmhZ3h19ziW49bOksGE/fmlCq2Pdun9KE0tgLAOZ5tI4ipsj2c7z/eYsvmR5OXISD2ATrHxUTrt7zaXATPGS9GhiyoAxE3rQJMHCs3dgpZ+JzaeWqx92AbiH3pmBOKCkKoUCvOirCYU93kya/Fxke8hQ0WpLrFpb7WCtFW30fKINBO0UWbSFNYElt/Tn6/PVAyE7QwR8aPHmet2kv6+VKzbcT2DLUD+w7b/EYFv0stLgNjurKriOfQTAKrdwGxOMZzGxWgnBNQpbUC9GIZxIo4oN5YMkGQkAn2zdsKEZqA8Yv5XFi8QSs6+P1J5j3kPc2b4qM2qvSV94Qh11eGtvZ8rl6ClvRq9LXCvUlrQKkBU00YS0KSis1mZs6gYp6/EaqCUrmXzyVinBPmEiFRoV1FKYHtn+bIa1AAA+NQKUDMxjoI+J2MtPXr905yZa4ISo1avdtguu+txc0MGYmYAEQbxxddoxZrAJtjR0Lu0722AYQC8x0DzZpYwYgXLmrqdrkQ5r1VUOGIIi3CSREyfY1pGqlLTURBnydqm0xfWPuEvOdQdIfZKJrrwzq0JNRdUcNcUWNEXm2sbk4Rptr0saKK7rkYBYraD6zRhJmV6XqfkLfczGsE0K3oPr7usjmynQM2o+lt7N/yTdf0C+mcVwknmqU9dbpWEZ39METTPXbHSsTxXpprIUA9Te2XqpIUak5wBhuGT4ujswqQb4c2P1z32npbmp6VlFunTYVl8zL9nhvwkOLLin/teVigcLWlyAPD6W333QVDzPjucoO3lz2eLwMXoFUb3VlZrOpezoFVbiSs3T+/Z2QEAMHHj6gfJtK3wnj93hoX4xUPds8vA/Uae1YWa6/Ie6M+jqFRkkgbow27QZ/8TDMiqj1MNyNNxxtHWq53p4rukJdE25OVRvtdAmRUAGZApDHCW9s4Sq1pRecsBWW7tLXyQLa1HAIam6EFAfY39euLdtlp92QuiCEAC3OgjaHb3ldqcxat3PI3oe5Kg6hiG7v/m71UsKBPHuQMpOypJ1c233yd1cg53txPzegrnSuiGUaVPS94oednyEjTuLqlMU/IFcgA26ox0Cob8ySwNiP+d94Gcw6kfqZuFOHFhM12wsv9CT+6+YAhZmSLkjspSJKxTyOmGnGYBrhlcd7CWB+s2KuwulwT43wpguCIyVysGLCcbvV+ixBCczrusrakCjYlvZjmNEj/txrJKphNm0QGhq29gX93T0LTkAmoR4759MC9Jqz6oapRUad7zq3+kTrd6DSsYnrv2XSquUDAsdfw/fOPib2hly0wtr27CwxYjMK2Dlb9rCI9E6244Xr/mrheaIqlra/uvA8tKPUCbDE0k0nB0t9xrZXkhQGhrhCuXWhFNZ470tarf5+jSZTLeEBrz2Ug7TRvFknEQu3jOTs8KaJWUpYtOGt7ulHXW1IGwPu2k/aMhpY78sZAj3uGO/rmLZFXInO2n90VpLsJw2YmzVsFhzJgtoi4Dxm5BpzmHpc5QWd+WbX5FGZeFBOcvmkzpSpbUwVBiNFaCF6Ad8uzTwe2g9GOqHsYDbG3INFZDGE2bw3bA+nrQLRjujNzmRttrWEQFPFDQvdk5oK2FqZ76uK8LYgH8BCa+0BBDaF5R8QLJ8SSvAXI0NHpPgrytsP5BwNUqOkLRp/VoTO/A9ufZrZP659oZlgGukm3Z6lAr6uiiu19+2+ozS3bgPFFd12ICUC1OdXQa0tiZjvLQkFzzG1FAHPl9aS4PwSkUzXWkM2pJFe0xJYQFWl7fN0SHHEzxhoF5aWsCtqCeRdx+pRGpE4bPX0aUGNEOtNgK06K/jEvZ79P731nrfMUsQD9U22xpCO7ubU+s/my49ky3YRW4Mu3itpXICkQFTf7C/7k4Q22ccZDdwIAPOUNjtMNXl9u8Pqwh6qg6zMkVMxDBGrAdM/1k07A5g19A+adQDYCjR3iJmJ4NwJvP0DzwlgoAzBHjud8Q9StdsD4yqUnQP+e7XBeffKMy5xweLcDSkT/JBg+kKKdb5hYnn9ASvL2sxMeNhOeTwOmSwedA371V59B+4ovf/wWr7YnvDvvcJo6vJ8C8t72p3OATgGlV9RXpC3PN2QX7L4hSl4GxpzOMkhn4PP/54SaBN/9Tzocf1KAruJXr18gP/a4+euEOHqsAJx+IBhfVZRNRdmR+vs2JMQpYXzB9R1HwfYNH/h4z3kzvAf0cWMyCL6v9AppPiac992B59XxxxXaKeKLEfvNjOPrHeIlMebeaDtrVMC+sxtFegy4/W/Yks0ZTNMLoN6Qnt4/kYF38zUaky7Mivd/1uPyRYVMgu4YScH+LqF+SJBecfij3Ao0MgUM72ky9vyHQPnpBfLLDW5/ydal031CGQSXV4LzDzPCFBAvto/23MjzjmyyMEtbw4CdYz1QtpWU9Z57VL4k5DHiL+dP8bfDA/bDhC/vnjDXiOdxQKlCi5LCPf5x3OD98w75l3sWF16QnTn/ao/L21uEnSK/KMBOUew7tn89YPe1Ynwgmu5A0X/q9fsjucV3R20VP4hREWtt/PqmXwnL5G3GDRugbJ3exFnhfHSa3fDhhVHMXVbaZzbk12N5132sUEYNVqFOAdWyPymLGYzEujin/qaXX7M54oaqV9Um1wjTCEja+zQCKIKYlyTQHahbItWMGJbq5HqMvJIPATAxgwizBVpYXYNVLj3QWFfa/bOg0lBHmdCCqsVBkMi1WqDoSKsbADjyEtToR1WvDod2SFoiE3IlBVZhGt3l+TsSI8ELCrJU+l2f2LGIUczFrfYMJABQO2YI7l13wTbODcWdasIlJ+QSru9/hco4zYxzgQtwcf8LEAn4HmKl10lUa08BNLSufZd9b+0Y+JetJdmD0gJ/w8GvgXOkUTDAed60rcCi+RKuh5D5mXQvN8dlM4zx56kiTGJtTcl6egcA1ZAWQz10neS6ns9vW/z+AFkF7h5MX/V1xPXvUX+/PHfX4zv6sjA6ls+QIggR9oP1B/IZwCnIFddfqksxxbXq1RyM1/fhtFrX8TuK7gEShNXfUKhRlOrrxue3V5Y+apuDJXHyRIxVUg+MGFhWR5NbZRptntcNA+VhQwfCu+GC2+6CaF9UV0yMKIokFWE1BpoUtUqrnGtjuNjzhq3hGBbUdjWnawq2NutCCSpoc8l1xH6PGsC9Fcvcp56Y11J6EHHbFyApypyYmAgQJmmoQO04zrJ6HjXycyCK7iBYu1m7VsfbxKzRdFGlXu/qtTzDxZQKy17XGAe+hpbruErugMYIaMht4HiLcm8EbD/u/Lwy2qU/b2uBx/1ErH867Nxcvqu1VIk2/r5GG+MEiyTC16dThVcomrvS+3nrc97RVe7rQAiO7i17Dy9ElvvmUC77k62pNj6+/4mva088xIIjf64MtjEU9MO8oDIAco2IqI2WX1VQlDRqpyRq4BnoLJ+amXC5VlRmnkNVA6RE4JKgH4U7ITP5q+p7pjHFxIusJgvxc9LGOLiOOgZS6DqgbpjIhG1GjBXZnFAba61TlFsG51C2yxCbbo0RBrRiAQ2rlq4JbWy9wGH/Pbs+88L9znt6XxVqbZ1IVgSgad9dWgDFguoEJkQyA/HCIljZ9lc+Hbyva8SyoUFt7gJyBoLFhc4K84Kmn5GlZ6GCiGFdzpoV66LRpAUtnmxjZtpcaoidPcDfc4Q9TtL00NlkTx6rtfZWq728dnTwd1YR1FDtXJmkp+UcYWF60Xv6/ufIa+0rW/ikCgmKTT/joTtjGyfcpzOKBjzlDcaSMOaEnKPp4hUxKmY/lzrGx2G2fUth7dlc4sdrjqrUoK/HLi2xtgpISe65f3urKgDoU2bMJL4+0LS7nP+shkhXcb8/4364WK1ZME890jOdyPtY8NCfeD81IKTa5vdVp4zoATqfBftfGyjVYZHJnRX9+9HYBB10R1OGfE6Uoh10SXKV50or9htjYr5VlHlVUDckVyOR2BpZWI8TzY/qKslWm0seQ0kRoKPbNPqKYTNj2884phWzzH6vnWW9QlNFyAHbt5xrlwcWcpsW2QpDcVbKH7NJLMeCOPbtc2m8RuAvZGDqFbLLbNV5iXBNrrsV396c8Wi9zl1O5rE1BmZEYWSLSPeOqA3JJQ27vXxME5H/NGTUGlAuEahCBFaBTZdx042YKpHauQbMJTbssNSAPCekAwe13PPsDxfB8B4YIcAnTKLjYBSlSqOtvPsoLv9PvH7/JDcAmiJoolHRP89AtWDJXADVEog46VVyUQZLcAeibUSguKsUS17DGBpalnc8hJxqASyVQt80HR1xhJJOutyk3MGsbLtrnW2Q1sIBsCC20c74wSo0LCo9RdLxUoEAa4eB9v7ZKlZrKljtk6FCqQU8ngBNe5pQtJYhZjzjVV5HqKk1cOMfweVVD7rOUgscL6Yjho+vJdsW+HSHxUhBW9JxbU5UolhbhNWmGNHoFK6XFtuQ3Ewj5Ih4qegfJ6P1KHtkjQXhkhuKQpR66Yns9CXvDeiHVDaEfrpXzK9yc2+TqHh5e8LdZsRcIqkxovgwbfEBW5zmHnMNuMwJU04Yxw4yBboLJm0bilTSV8Y7HoCbyZyNTUMXpg7xZsfFbZV/yZmIkRcqUmCSbiiYRqIGjUYbqXurnVHue6DsiOBqpwi7bPPVArdzhGS2Z8g32gKdNifF1loAD/WGnhmFeSPI+8RAZq4ItRrqrG0ei6K1JbnqZWnX7XrtMlDbybUTrlyzGewIGsXRrs2pTJ7cOaWsbMNVQrmgOkRCWpKJdfKsdKLEYhsP2Of6ms4BARneo5kumGLmUFYoC6Z1DMt69PnWkvN1UpU456sV0Ehp8kRlQYjW9GUf29ontkRymmowmqX1AS/DgqTNe5hLr1X794r5LgOdYri/oO8z/ujFO3y+fcJduuA+nTFrxPt5h6wRb843mGrEpXSYS8QlJ6QhI4do9KVAxN96+MVpGTsJ1EhqFIRL+h7iGeZipiIWTEfXI5p+VQTaUU8slQdi2RgyPpiHQjNZUdTbDInKtjCimKug9ksFn2vH55a2eeBBinsuuCkNtbsc8ziy3YaYWaEzBnyutP1b0Ao4i0REUTrqw/POHHTrQpkr1gEgzAyeoEDeRTitkfugo2fM6oj2yVLcgfUQtDZIzRRxvKbJeQIolXUHqYq89fY0Yom0GsU+tDXeaNHAkqxHX5D2QMX28mTPpV8SVf9+qYJ5h+ZhwYQJmG+SyVA8cbfi5Vyb4VcL6mxcai/IQ2hIsgaa3ZSBmrvpRYH2iu5+ROoK7jcThpQRRBFDRYXgq/MdAOD9uMNUIkplsqsKICi8X6TMVuy2QkneWLJk7UfKYMZBWRFzgeSV8dRhhN4P7M9YiXCs2VvTfQck3xcVVZZC9LThPBxfODpbgaFCUsVuP6KLBe/vEubcXQW9AIBMRMyZ5753ysx9Jl3MjyQDpaNnSN7zHI8jna39d8JcsXnvSRD3uu4gSObq7W2NWMSmCywNkTg2oah9l6J0gvlVanPDzTqlWNJhlO1grtxtL7tlK5LakWlFOZVYDMi5JVbECVnMFwBI88JcmHfWBzmhfXYrPK0S2zAr+kf6fcw3O2OuLXuX2L6fh4+SFBufNVLr8SgUmG/J5KIHCuMAN5jyNTLeRya4Nj7OdFNZtIp5ayZTe2B64Dkv+4zQVdxb3PLD/SN+MDxyj9GAWSOmmpCVc9zZDLUKShHAaJyYIj05hCZMYQI275akcBwEUnqkx3tg6oG3vNR0BsqdM3wWPWftAB0U88sK3RbIOeK7//ZzxrSJZ/vlJXuTXr7I2H9+pJvyHAFRPJ83OI09bjcjPv3sLf5aP0H6mx7pKPibv/ocf7P5BCFVSFTUQ4cwCQs9d5noXw5AEbYTtHmQB1kKGgW4fC44/ygjnALOn95yrQ+K8JTQPQd0z7yny0vA2+hooH727q/dYdvW+8Q9yhP9vFOcvjAk9YFJePcs5o4ObF4v7FAIDZ3qAOSNUoOagf51BCTidIw4DhXIgnxTEcaAztyUfY/sniKkRPTPLF7VxPMvb3n+67ZgfCF4+oMASMB0GwEBNm826J6Z2O1+kRAnIvmiwOGHgvnG9uYTHf/DzYy6CTh/3iPvBP0HYPo3L7FV4O0/Mv8G21+6I6DfuGcOmlRDI0HHcltRAEwvKVsQo7Hj1Yibm5GJ7DCiDwX7bkQKtRXdT7nD87TBNs348xffoGrAv3vzJZ7nDbo04eX2hNPY47LbMGa8BJTSod5UPP2JoN4U3H52wDh2qD/fN/bX+ZOAUIDbnwNlhTD/rtffm/EUghvT0AjB3Rs96BP1ZuPSdF3uIMpKoKE2zreOFpVOoYm56wDQiRKW1UurxixJLisuxQKjarS9dSW+9gHow4JEVpD25kF7WCjKa41WHryVS2jtgfxvR6NK/5FdvgpMnbCATnZreaARgCajZ2Yu1Ly1TdioebGuNnpzNp1uQjMvCaUgjNYWog90RQw0l6I7YkE8ZZRNbNQnd4Nsz9CpsUbFcTTGq7Q1KWIUzNaM2kXwUrxKGoAPTJSqAKjC9kFTBrq4JFWmY8nbsARfVvnMG6PV7LmZzZ9k/OBH7xBEMeWEGCr+5OENvtg84tfnB3x1vAcAHKYBRQUfjlvM81K8qFNkIFQMTQCRV7osA9iTDr95D6Aqk5FeEDc0LNFpJR6aM5CM1pQimi4zu+hicX4LWVEaemeJU4eG4EpXSUcSoEQebqWZhRnVRW3TccTKUdOwzHV/jtWqyKVnO5I40t1arG+uWKKFSjoQn3NsBRx+0JK8aQps4eW6yW5ZA9Wq9c6maMFyS8oNjVJqQz1gcRfp2jNAyDuiOrwY+3hLcuO4JPWls8KKNxOPCq2gHtuQei8mLe1QBHDzN9NnSbFnbCwBdyBeIyWNGYKloBMjmkMqkR20qv+CtPuaWrRfrtVyLZsjQ6Unfcop+GVfIPuM2/szulhwO0zYpBn/4PY7/GR4h2DaxEPZ4DFvMZeId+MOh2kw6bFgLgGpY0VsngKr/ENEcf1aBILSvEJEID0ACebCfV0VpZu8Au6ca94B3leZCSX3zJAr0IVWyHDdOTXFrHQPtyOdvwUtgCtdRMmc81IE4UKHz8bUKNKSwKZt8mTO5gQAtpCKYdHyWVAOVYRa7JnIFaqlagiZrYlqjueOAjrd3hO0aP3WWxsvW5dSFSkbfbi3oqijtKvkj5RrMEm1e2Gwb9cjy1wUdV3iEuS3AhA8ERakzL1eBK1vN+xvDSA10hAotcKSu20XQ7HaeFgRtAwCjWSJAHamWa/IYEhVuyYNwGwoY9Ot+vetmBId72u+YeFuvq+IL0dsthP+8OU77NKEqURUDZiqJbMQvB93nOeHHaYpYRhmbPp58ZMQ0ORlXj2vlZlfS2wM1UzHwJ7QK4QrHC/Qh3vkTUS6FMQpg+wFk2LcpBa3SFG2ZQp+P+bwf6vQmwwERUgVISr2w4RNyjhsB8z7iLVmkZkyx9kZSYgKLYKYWewM80JhJ43e9lD3EUihzWeacc6oMeDyipISoj+hnWVexBMVjLdWWPLrmWi6ly4V55eJzru2loiuhqbl9zMozN7aJdi6YcJQe9IxkT0xXZ5HvNh3qoV1lfcYZsW8C9bCBlwIgqVtmJ11YRK+vyjiYbSWfzvr7uATGS2Jbfu4rNehFQbGBb2M1o94djlABQKqFTuXcdJAaZxLKkK2c9CYP1w7TG7LRpl4PEyQqEhdQdcV/PjuET/afcBDd8J9ZNHysWwxK4v1uQZfwpQeF2MuBKU3kBVcIUzcQgLkDZPc6TYgb4E4BpS7Deq0LPA4KXJkIiV5iZdrz6LE5vMjfvjiET/7H77E/c94L+fP0KjWmiqGV2f86OEDLrnD+9OW2ssxoargk5sj/kf33+KrpzvoZW+uvgm1T5juKrWqp8AidAeEfcawmXE59dAxLmwC+HxZ5s98p/jhT9/gOPb4cHMLmdiaJp0E29fA/puC88uApz+iJlZeTjwH/90Nbn5dkDeC6c73YxblaG6lqAPY+7cDcD9DYsVsrSz7D6Rp0yxO4cawZcO4VO9m1EPC7qtgDtTsiFK2iror0CqtOO46/P4Z6A7Wjq4AagzWfKMo2wrZFJQquFS23dn+6BlDl/H+V/fo30b0T6Rzp1ExvC9AAI5fdqiDFYbHAN0U9BsenJcXEbWL2P9ScPfLjONnEe//MQd6/7cR/bMiXoChLGwYGEMCVjTUTYF0Ff2QoVUwn5kQP9yd8dnNAftuxIv+jNvugn+4+wr7MOJSOxQE/LeHn+D/c77BvhvxZ7tvUSD4Dx8+w2MVdLHgrr9gN0w4bSrHahJgEpS7gnQz4WY74Yu7J3z7fIvy+gbb7xSXV4L5DhjeAbe/LijjUrT8Xa/fX5NbLGFNwXRo5L+EyrI0gxMG2KJARkTpiF6GCYhC230MPtNZppRYrarAU8yF1KxgSnsgbfMytLNRZ+tSrUsXNcdWp09bYmu0R7ZGoPyfmhEl7adRxBjINufAAMz72Cq7V9Ri3/xWFDg3EfFeqhqBbK0HAg0c4Tq0Rt1LaC1L8haACroN9TnNXh1ElzWJNZKuV3ShYOIYp7GGoovDdW+UVvVrsqSs83FZAkOx6iydnmEINhpC7o6DH7t/6hCt1UJE3fC/HZ0ovTTantNpphcWIPcWEPYFU47YdBmf7g/oQ8E2zpg1YogZd8MFx7nH04nB/zR2KJn0mBBWMCgsiIwMtCFscr5Uks3Z2qilbDdSse6reJUMzBlhmjm/O2owpFQeIApUBAvMucm5gUDZigWltjGJIkRS5ktisNwMvARoUapvPu2BcMyqUW6aphdodPG25tozVEvEV4mtmwrZ/ZVNor7Q2h+4Gc33WsEIEa5Fk2nfHQSigihLewX/eTF7/TK41nrRvfjve7ubbPQ1KdaWAV5QWb5PI9dsoyV9RLF25MQdyX3cqH+URrNbaJVoiGIbZvW1YPcXBVUWWuh6P6FiY5U9OKV0xVbIW97/fMN7L7cFssvY3Yz4/PaALhRs4oxNzPikO+A+HnHRHqfa413e468Pn+CcOxymHlPmxdLIIUCE9LYyFNQAJpCZCdl8447Rpre8mO9dEKAU6Cr4J4zN8XMEt0ktLNkNQLs32DT1ADhOghkgTa+vSImGQtHW4ygM6lHMcMapcBYELwwY/jCd0VpZsHc54L2h3UwPznQBC4A0BbEJEJ3aa9caYc7XZBkU68npFEhPDIoZZuWBE9SNOqBAtCRwvk1kXYD33vSAQi1x2TIByHu92pdHde092zlw/QrXpyVxnrBHK2T6OPucdoSOHgf+O6Zbn5VaXgu+XZagq8CcSTXsHFw08L5G3STRNelM9IwSoXo9pit6b9Mdp1Ux54Ui3xaEmxm3N2fs+rlJTIaeZoHvph3ejXuMJeE49cglIM8RNQfMkqDqKBKAyD6YdaA7Ki48J92sbN4FFNPNircNrJV7ur+UXQA6OztJhxWgsiVPnGo7f92oyxM9p3lqWBhGKRWEoCg1YCwRWsN1NaFtKODct2QQRYBMo5kwWfGmpyQpzBWq7Hftn1WtyBRyRY10JPZiTMjU77kPQneudv4Kis8DLHseEcqAeR8wPpBZEiea1LT9zua6BgA9MO9MD7wx9HhjKG5HNl7z+KjLfI0ujbIEVpMiZ0G0gmBz/3agtKKZb/H3Fd25QjIwv9y2Z+1nBIeW+kFt0ieTP6y2NlKU0UCPxmrwOZwEapxUpzerAGLJraOMxYvWlpwXM5OcHirqriLczLi/O2HoMj7fHbBJM/ZxQoWQmlwTZo14nvnf355vcZ47jDnRtEmDEWkUOhRoJ8jFWRxLWzhqoflsOIYgq2hVvC6DF6qM5eDo14XxzvnXN/irxw3CKDh+scSyAKgx7yqmU4+fffMpJFTEqIix4stXj9ikGc/TgP/813+Mw9MW3QuO2XxfiT67qZhLowDUU8KlCPQS7QxAO4u9X2+bNxfgq28foCU0Rl534JqvCTj+IKJ2QPcMxIlt9KYhQm8UTz+NcINPxsJLvMf8QZrMS2dWY7rTsgbnG86HvON4xBnon8DWmRYb543lHeDntIJbXzG94L2lg4Eqg83ZSVB6JbPljsy+cAmQ40DPHXMSPj1ucekK0iEiXtiX9vIpkI4B9z/jvUz3ivowI7zvsHnLgu0476CB7s9S6e79+AcJeb+sp/mOrMZG6++I3IYZGN5TApfuLB7cFBRrYyhBoVXwfNzgdOmx34447o94tTniH5h/QQHZCQ/phJ/evUUnFX87vsS5dLjk5NsPklTcDiPevxrbeEKALrEolEvAL96+xHjqsNkA4wv3X7L8aRtQrjR4v/31+yO5uQAi0D5AS0WYiyFcNOaJUSAaaRhgMH0ZImrPyRov7PfU30woJaBceEmhI+w9x9SqefHiCRdAmgkrVPFMsx5PJp3qGydFd1qMBbypuWtxvMm6DhHzZsPFvUrSOPDSEtk4VYSZ5hnzzhwirWJ4lVyv86vKiqHbtYeCVmECbPFl0yolp/lZ0CfWvsXo3NOz0ZHOwPCOnzneeV8/RZy8kltbsMPvsGB8LAiXAk0Bl096q0yStlQGwWTtlzxgddqbB5lOCalO45xZSeyejcq4JazoNv/FTH9q57TVhZrsyY7rwvIOuHwxI+xZnREAMRVMOWHTZfz53Te4Sxc7JDps44zPN8/4Wu/wt4eXKFOkKUkF6hZIG8v8FPDKnQoQgx2AZaHJjPdMzsLkdCxA5nxFb1ubN8k4QY8nSNcBL++hElhdHguNRzTRaKhbofSFiMb1xymSVfTzUFAL0dMwcfFW01C2OaU83Ihm8X7SyYN+n4Cg6Ygo9YF10RwxGOVmJKVSL2VJAGmbbPUx70JDXgE7hFbPCqDhGOxAaHRfO8jIaF4+g+YrRuUy4y1WD5XBt9NUrZUTMyxBPFvwZgWiMNcW1KuKSSLQaKpiRnNNiyjWi9qQQI1G0TtVSzrlSpPjQexaXxzKQi1tiPZA2k//XAEf+1pbdKBiSG6wQ9HQmOmWQeH0qkA3BcPdiP12xBe3z/jzu29am5QUKr7o3uOH3Xv8en6BN+UWX1/u8bM3rzBPiYWRq/iMgUcIBbJV1CFjLIJS3BSIwUa6oDkuagALe3OG5iUSXFOxiZgwgHSjoTAVaKmkZ0ebS0ZljJMsA7epiJuMoZvRxSXJPRw3gK1TrNbgIoiTtpeGAnSPckUZDpkmYG5eo0FomVAWCr+qwGtcNYarfZ3IGIuv81ZW6Cr337wFmhla4L3VVWFo0WCTZll6oH9WbN4Xk2PwMy+fKaZXhVq8zlxLzbmz3HKO9a+pzWSwbiwTW/NEjEih7D5YuzjTCbpDt9Pg1/pF7tWKeU8DQZcQrNHOvFOUncl4LPjFsxUxbVziTCprM3srCq11YUzF1doHg455pZWqHTC+UOSdQj8f8XB3xu1mxGe7Z2xixufDE7Zxxo/6d3iIJ/zF5ctGvz+cB+Q5Io8JWgRzDsijBUhBgVghWy7K/NhDERCFdDY1yYFUQf/E85/90At0Xu3nqgiHsRnG6RBbYQFaES4FSWk+5UwFKEwqIe083OwmxFgxJK6hXAKmTNnA1UtAhB2ATAHh4lU4oufdYaHe5g1ZanGuUDNaaojkJiJeCuIlQ7eC6Y6tp7ZvZsRzRt4llC1b+nVPBZoEx8877ruWfBLVR0s6AdMsbhX9Y0A62TNMgNicJsNoaZHkDK+8U9Styc2iQkVZG3ZOtUoL3DUQ7fSzt84OQlgbLUs6pShC9ViKIEU6FtROcPyiZzymVgD1eK/y/z1gdvbOms4MmFSgtYKSFuuIOIXb/j+rsTYYs8aBKIZT/ssGJjtR7hmdInx2wUtrg/WTm/f4tH/Gf3b7H7CRGf/F8U/xy8sLfJhu8DRvkGvAJXeYa2gMtK4r6BOpe6UESFT0Q4aIYuwTym1EOSekD6xQjQ/SjCfTxSRCfYCuRCjTLdCBtOUw8dwOPi4KbN4Jaupx/KFi/JMLdIzo3pqevKuQbQHe90jvB8x7RfnBBbubEf+bz/8j/nz7a/yrv/jf4vTfv0DYKqYvZsRNxo9ePWLXTfjLrz4DXg989jb343OEHiP351ZE556Xd9Kci6FMXsN/3EA7lyoSxeufSDU+/rgiHQL2X5k0RSLyPmB+UTB/UXiWFIHMAd27wPMJaD16fe/tn6Sdi1wTwPiSxkv9nzwhCFD/7T1uv6oofcD8IgCBSDf3W5NPVAscthV6PyNPAfFvBoQL0fe8ZSEmnY3R9emEuCmIf73B/is0uVTsBSodNHboPzC3efphwf/8f/xX+Nn7T3AYP0E6AfPnE37wgw94/eYzPPyMMc3lVaQ0zopP4ycV55+WpagMYPzMuKVjII18qNB9gRwjulPA5n1B2VCEPN8CdVMgwYFHQX07QE4B7+83OL/qcbzt8T97oI9CVcGsEV/0j/jJ8BZfzw/4N29/isM04GS6YnrpFHy+fcbtD0f7GQ/sx2mL49Tj7Ycb6FcbxCzIt4p8gyZFqR0w7eWqmPO7Xr9/kmtVUkcLEYX9IgEG2NasHEALQrjxLEG5VCBPEVrI0wdAK+9ILjjfp8BHaI16PCSrP46auqBePQgXiC6UZF4Ir5fUPA8icP0dK/fVRqtw+mHP3lctkIBVdvwaKv/bqz1MlrUZCQFON1uq6/zjlXqsgr8lAIcN39W9tPfzXpu+SHnwa6LLoNM4xUxPAAt6PzqTm74yL/ftVWyvyrqxyBpFdOdR8QpwXHSfazMXr4o61btVmRUIkQhnSgVdpM1+ChVRKmaNOJcOY024lITDNLTkEEbv1SlgAh3/vJ2JBo5p2ViFV4F6EIg5A/MeFJhXQePaZArA2tyGD3sV/Fqio57pWbKvWXjKwJDKiYyB0hfUIK2HmFYOyFX12ae+BQ0+9u1vm2OuGW3zouhVssJahVxpFjVEYy5I02rnXTB9oLRKP9eFtfESYDk/qRO8oj5aIFiTEAhPgLtkNxSpM3lCR6fRZkcPAJkI+xUjQznubjTEZ8L5fTVnr1yVl8qgr32Oo8LNRGT9PR89Zh/H9nPfWz5+ixm9VNAhG24Qtzb9afN8GQP3H+i6gm2XsYkzhpARyZdDgKIi4FgHPJY9vptv8ThvkHNEKaG1UvFLCrEiBG10YFUBUkXdsfrPirWgsh7Jym1hkUBihNTrw0LKSp94Nd+v759GFgwQJKyeWeWzrHPAOHfIZTHHynPkYevFA8VCyzc0tc3teaEHNrf49bMR/31d0M3GTlnOF5edOG2+tfUJvKeagBJWya0sSC6Uiae7uGoFnOxDFoqbJ7oOFU2rtwyUbcnra194yG3MQlkKWq0dFmB6ejeTknbfV5PA57SgFZfW+3bbz6/+2LOz1htrxkO7fvtv+S1roD2Sj38nClk5Wwbqu2HCTU962xAytnHGJswoCLhoh0vtMJWEc+4wTwllDty/XZfICcckV9Dm+9xVdl3QRWLgbTJKB4TOimEhQFb7tSazG1/P6ZUmF7YvOiOqJiG7SgHvpbz8GttiqLItRq3S9nMAgO/njlg4W61wv3eELcxY5rmdjT62dvvtGt2ErOlChwBoQh1cX76wSBhgS/P+cA0zRAErli7ux35ua2PzLEXMFY3YkeFVIVn6Ai0BWpf1R5r7yvvD57SfLbJ8hL/8PPP4oEnZZBkPwbLPOyvBvSD883/jnm36XDcobXKgFsNIO28WZsU6IFzuocVc1sEhJrZ726YZ2zhhCBmTBTYBik4qsgYcpgFzDThPHUoNnO+FUqMSK2nK9rUinOfL4Cg9bMT6mLoGH46YaytIAkxuZWdF3Gh7nOhSrDIGG4AlhrL7lBygo8nmsgE0JaAUonVVA42l7GzxfW2uAXONLNjn5RlxDxJjCrk7uu3xLfFc9n/vKgFYR5WyfFaLlztlF5LAorkOCmwKuk3mWXmJlAd0QLWYoX2HzZUyANKhGbKtZYX+XLQzv4mtQrYZWgIyYCwMfibbU64352WeO/AG2Pf0nPRaWWQfH1ZxtJNAihcl+fNvjnc4jZ1dCz/zNPZAUAJUaTXOGYjV0E8v/KxyifV8kizAISGeeZYR5PAxEmgOjPVsHepQ2SpsKBBRFBW8mW8xa8QvLy/xYd42U8znPOB5GnCZE+Y5ouSI89zhadpilyb89Ibi8cd5y7g+JxwuAxmZYuvVvtd9UlAFvY/r3+H190BXprmQm+1oTx6lGD0onCaE04R6s8F81wMi2L5ndWy8p8NqOgD61cbQBeWmmAVFmLkvm7AuAVFBO6Cq9cuTAiSz308XIjZSiTBKplbxykQjJWAgBahs46LXa46bMIotB7c7saqdt6QB5BvF9EnmpBpDW8Cun0hnCyLUjTAAQJpmZKF5MvkiT5+8/vaqgngMCHNAPJmRzMU2BkNMW0INP/wY7XiiM98kas4KTF+lRodS5E0g4moUZI1AttYq6cRgq/SCOnDhDM/8zLIhOtUdWfUk4mwIJGzRW1/GmqQ5yvIiffJwTPKeelUZA6p26F6ecbe/YNfNuOlH7NKEXAOescGb8QYfpi3enXf4cNgi54h6SUulqgDhmKzioyg3lYvbD4LbGfv9Bc8fdkDtuQnbGMYzK6PDYyAyt0K4nAqo7FIP2W6pzXXK5pwhuUC6CICtqvoDK3+smgviWdC/paHMXEGHulS5cZxTq6xF7wDgi9g2fXehXBdP4rS02XGH7HScmXB3sQXGauPtbsOO2noQmzeC8SE06pC7RLqdft7zOmFa3HTi/Tg7AavgUoMutORV/2s3NKhban3Qm1YzkMIqJ5rMecDntNRm8mNteWDIbHPHtqTA0duGOLtG0d4DJSpc7aBj+xHbO+Iyrq1IVhd0Wp1yp0sCUoYIMa1z00yb2VtzRLc/Gn08uWFLrLjZjPjy5hEv+hOiVAyScZ9OiKj4UHZ4nW/xPxy+wH/48BlOU4c8kb5JJHQV+fYV4YbB0HRJ0BLQ72bsXh5xOG4wh4Hma8ENXgRhB4xPCZvdFjJWwNAbTQFymSFzhnYJ2nech013zHElW4eylAQGA7h34zYgPibUPuI4BzRaZhWES2ju4TL7WC/u4msWzLolXHB6MpZAFpZwxEtBmApqolGPWHEVQdg+x4L9JskYfI5w7l9eCaYHbc+xFfCCYjJDoHgWdMeFFsgkyoxL7oT6SyzBf8iK+BxR9lznaqhC67No5kmODrqkhoZ+ixtz7aS1t/Oxd2aOu9KLud0DxpCxOdgfFvqzBkFKq8SqCGQGuhP39XTW5i/hRRk/U6UEVC/GyZJQrBN5FgEWV868BfInM4bbEZ/dH/DJ9oAf7T7gH+6+QhClDwEC3uc9fl1e4Benl3h93uPDcYvyfoBM0tCeOii0ryxYRkUwrWOMRA5qXzFfImqK7Vmx/yYL0emSMGwHYOXgXO+3KN0Abwno/gWu3cv7hPkmIp0qhncTyhAxvkzwllxqcp1aA0oBxjFBa2DBtQp0jK13Z7xI2x+hQvRzU5EOguE99/TuWZvW081qysA55QySdOQ8R+S8LptgBlBAGVILtNXMPfOWcdN8Szpx3bD3tuSAcLG4alcZ6M5m0NgKNQJYIO37ex2WZJj9r20+TYBuFfu7C0oJGM8dx8D+VIsvGi3ejuOajJWH63mULkZNvgnWRjEgTO6Bwn3c2684qhrNiElmrgmyaZQGaVi+c97ze/onQTqzOBbma0kLAMY0ps31rhe+J7lG318sdim6rrR4xWVV/935JwhQjJrw0J3wN8eX+PbxlkyFS7pKOKYqqCVAApk5AFrRsnicExR4MaFWwfmGniPxFGgo9Svg9ucZuCzw9f3PC45/Clw+UdTLUujLe3M4XmnG0+se3o8UCnTvWQVsvaMV0EvEGDv89fETAJz3ISh/70KvhddyS7nYU4c4wlqFVaCYsVMlZVY3FeFdwvDOtOgnY5dkzoPpNuDyRUZ6irj9uTFUbgSXT4UykcDWXYctKfDx1Yj9dsKmy+hTxuNpi+OFxh95VyGDtLjFz4/aA5fPC7Sv6B9G3OwuePf1PXY/79AdBZdvdvzsu4qnrSB/OeIPf/iGLFNzDX7zeIP5kqA5UJM+B/Y4ngO8l3ccge5Ig7/xVYUmhVwi6hQgPzqj/7MLnp62kG82TX4mCoyvaNQXLgFf/9svuDffmjTgHPH0zS2kV3z4h2BsVnhWDm8pOwiTYJ4i5VH3BVAgPkXGx4nztn8M2P+ShffzJ4LjlxYTV54NcopE4rcFkio+//E7fL474Jh7PI/kEP8/Xv8R5hLx61+9RPyQyHYpRODjD86QoJgeB8gU8LYILnPCn33yHf53L/9LRCj+T4//U/z18RO8edpj/mrfJCkIyjg5Vgz7CTfbEa9/8QLb1/E3FrF+0+vvxXiKCYFAEFq7A6+GIhsq4MiLmotdFUixKlemOYEmcx10JC2g6XBb5f43ILoAWrV5rZnx/nYa0VpTXP1aYMBHtNGrLst/O/Ws9LJoPpyCaM2ww94MhELkJHdkAkCdSaVzM6w2XI6Scf+++puNjnV1U3aQzA7X40qDuUb0+Dvffzzq2mFQ6wvrN8cPWK6FrTekVSvZk9R+377DqZsF/jzs97AgoGL303Rj64q0//GXwPQ8aEkqAHTRUNyQkQzBLTXgUths+jR17M9mLn2wypdYk+04GnKZiI7BUKPUZdxsRpyHHrXvTbvjC9oQ3t+2KnQVYEf2+/343+GJkNHFVRj8FbWxuwhUlFVSteBXFgoc6bF2P/5c/DNdT+QbUAW8v++6Ku0mUtr5w1iq//68a7/o5zSYKc3GK2d8LnmrzRxO90bPyAxcilebsywJIHj9mqjlaihuWP1xJDOxMtiq1HKNwiyI1jLXOfGMfhiWUn1DvT6eWz6/hVSijxED0evvwvo7V8jW91gOdfXzht5iQbNaYrH8bP3HX1EUfSiIoigaUEUQQdTzkDd4Lhu8HdnveZpTY7rIHLhOvJpZxLZYaY3XUyrYDxOmHHHqSBPSjs/FWyLVJOas9ZEYuVYWbUSALnGOBo7jNaqhbQ6GlfZZrPgiKsjWU1fm0Ip/TbqRl+QWtj6uNHT1o0LHR70sW8so75msrsnjc9GVezhRL2lsmbU5Udko8k2xfdb2qp7FVkkBanuH0928yu17XE3gSerPdxUQO1sG6vNLWpK7ltcsKK7tIV5cESYJPpchlmB9NCW9tVlzzvdCDQBvHRWyJfcZXLPFEETXr1a7UG+dguWeBNdz93trAqv3W6IvqaLriG71kX4Kt1bBO9YBRYFT6fGUtzjMpLPNU4KMSwEAgCGoFnjZhYVA34WUCrIhqXUQaDY3XysmFzUmVrLz2V41RYQ1DX1eV1dkQS0BSKlkO/iY+L5bBCVbm6M5cJ34n1bQAM/uYv0m1ZJFY+ysUVzqQKXlPY5GuhYc4Hypfn3OSIhW8zJGFPuTmwSqU+7fPR1c46agjBG1WpA4FIRUUWvHvT0s39fQUFuXV8iJaJv//tyD6BXiA7/sFid47HLNALpCR+2cEyvgL2eGz+sVuw+AO7BfFcda4X9JcP1s9C4W7bv0+t/XLJGGJPsej+V7FpkFGkvM2Sr+d1XBY2aS1UlZijs5oOQATAHNf8O+rwiLODTr09Ufuy4zOYOzByLba7V9qPni8BXPdYWKL3/KgMX8DEsBXVfzLY6mmfV9zWLbmgM+TFt8m+5Qa2Bs69engjpF1BDaPkcNvz1zjy8FdCGDz39tBfyQV/Ojq/T7setzqr2bR6oYIywquj5j02Wi6d2MU+zbhNAe0KrUAq+fNcB1scu4vznj5faE98MN2MOI55VWoqS5U3SbjPv+jGR6mKkknKcO56As7syJH5yX+9QIyMj7lA3aupHMc7XvMz6/fcaUI849tbliLtiaFLIpwCmgf6RnzvgJnbthSLlGM6+q5oA8iel7+ceLG6Vy/BuDx86qMAH9kcwNSsqU5/fsXkh2LVUgAG76CV/uHvHd5QanmWyE49RjnBPCc0L/ISztp7JgehURU7W9EdBLxCkMOD30+DxO6EXQSUGFIOeIMBJU011hAS6SwTN0GbfDiNedLvnT3+H195PkZjMnmYF4BgOMLgIpGX2iQOaCdC5GfeREc6t8R4e8/Q8CIGdOknSklqxtvlgCIQ/64ySIMxBGYHisiBPYYNwCBy0MAuhMqIBVwjVIs+m/6kensIo/E9y852Z3+gEWymWvqDcFdzcXBFGMAykneY6oc0CVBB0VuaOLqgqweR3QP2Nx//NNv2JBsHJAvYRlIVaOQcjUX7ophDttdidDZbNVJCsQvDetBXzpVBHGxZQEYCKi4iggmumSFG09G12LE8/sQ+bJENSc4jKfIQCjp9mh4pRSPxjUqvwgcuz0ojgaLdCThMQKVa3S2gA9XjboYsEhDwhQvD7vcRp7nI4b6CFxYdtiDNOircgbVoK6/YwQK0omPbfkiO/e3ZEOd1cgme6bKETmM4DNW6JzWq8Dn9bjGK6/kAXRMLdiqRXp6ULNogjCWKExIZ1oFJG33GQc5XaKWrRrXxcS1tQuWLLrtKF04vjTidOetfA51CEBnTbtnifCEDowtz5pzQ3XWnzcrIKiBNRtgWwKYldxs7+QHlhImb3sepRLhFyCuZcS3XXqvWuH/T4cIWtBRBEo6ASMzAPRq6xxRHMhbPS8FFAVCKhMagr7JLdgqlGEfY+wSrVJEUrkc2smKrIYl3gbsHUxzVvXRE8GZoUXfuKlNPpo643sa2fmBly2cSn66PJcdSaaWTXh3YE8pIfNGedNhz5kPKYtqgr+v49f4N15h6fjBuNhAGZBOBOpCuPKzGJQVADTqYfEitTnZg5CIxNFvJtQ54AMtnLQjoG3r1foMs8luyt34YPMBRIDJQghQMXbwtl6EAtas9IgB5zT5UDjpbFy3aWLtGTW0aF44X+v9/WwTnKLUkuWyYqIZ/oJ1ORFR3tm5oZfU2B7pLRoVRdDObQk11t9zHdkkMwPBeHO7Y4BscAjhIrLqUc5J0Ojgo071yovcvlbAxaDtR4MRASULOSAeIxXVLkweUBv81e9XYslnrbn1uaSu5xRWvx+ZEkM1J7Bma18XGYTZl2eVfZkmvfQNHpWTEhnXdrptWTB6OBxod8jLs9/KWbC9hHTOr/vcTgnPA8TPt8+4814g39T/ggAUDVg1oBfnx7wNG7w+ukGl3cbyCVieOR+4gkJk6NAJ9ENE9wUK1KkKY8vsgKur1ISNJJxhQCEMeBu20Glb+MXcoEOAu1C6x8ruZLVoDSeqjPHd3oYUDbsaOAmNGzlIbjIDnECto98RtOdtr0D8GK7BZ3GwEoXzk1HrcJM1lmclSZXCa2LghfbRY0Sb/223RwQFc2RmV0DaGzDM50Flbzj/tbtJ3z2cMB5TjjeDFCVhhheVKAhomjENK+oo4rFfOfCGEQjMEcyxvJtoW5zCnj+1R0LmJtCUCHLoru3OUqdNxoLLVrsAqC5F6czu0XUwVBgAabbVYatQHesCAWY9l4JoAMylH4lw3unhdr3HpaCvVP3WRzwmAVIZxp3IVCLvU6urwr0q4SxJgB3Gd2QoQDenbmn79OIqgHH3KNC0IeMTsg82O9GnMcO4zlCNCAcg3kCRNQ+IW8K0suClApe7U/Yphnv+hnPmwHzlDCfqH8S61uLKbSziDK0ZT8//DhBMrD7Vppev2y4N2shy0BmniNlAMq+Yvj8BFVg/uUe3VNoNHZRID0F1FOPv9Av8R+Hz1GeO2BLZ225m/jcvdDja2BmCx0F13QNfPaYeN+tOGox67yTJumTE4sxz3/I5553TPB0V9DtZsyHHsPXTGMu5xuch4q7HzzjB/snjJuE592Gz2M3IoaK9+EeUiPSkQ7K052g7DJub8548/oOb44vES6GdCeg7AiSyMS1VHLE48TChRf677cX3G8v+KreYzomSCGi6wWCanlvnBTDByBdAnWlt9ynz++2+NmUkM+pSYviyPHTQ0QpblhFJph2dGcX8OjuHgP6DyxsTff8ebwo+qNLI/mc+8cOGsx4aqvo3wf0TzwLH/+QjKuQ2UpJjQoOkBmjgYZb2kX8sn/Aae5wGnsczz02mxl/8vINAODfPW8wysDCT7QC0BSQc0D3cEFKFePf3uDmLzr8xfGH+Pc/foG7cMHPTp/gV88P6LqC8fMJoavYbSbkHDG920AuAc/fDniuL7B5ZnGvxS//idffT5JrDailVCK3XYIOHQO/aNTPQqfOqgESAxlwo/dadBdmNBc7D/q7I/s6ke4nrdKkwQNUaclumHlIp3Nd6RJ1kS1FIh0x8+ekLIdFD4ol0HW6lrfSKb1iflHY48sqEnGXcbsZEUTRJVqAn8ceUzBNUQyoSVFeZEisqI+bhgJVcyIURzO8QpgFwRaFB0TRgqF0VnRnVlzydrnWYA6ccar2/0Z1sQ08joXAgI9JEBSJgAfmfDNRHizXkjcMpJw+4i0DAGB4UguI7LvCQh/VILjSs3qg5BqihKa3azRrgBWuoEDTNlH/kVIhWCZKVGtKKJdIV7oVAhsvnAtlp2zXY426U6jIXWHyfO5Rz5Zlbwr1BmdWVNnCxBN5zullYnhFV9pccu2zAM3NVeYCuUwItSIOEZICugPpRKJGZRVp/erSaYXOr5CddZFCDVVoFWdLKDxAkNVYu4mUmPa6aRSrH9hO20SjE+cdA4KyVc7Xmwr0Fd12bo3OX2zOEFFccodcAx5jxdh1mGOHOguk0YRtfstyP6KWq64rqI5wVSFNe8biALlCc5f74lyUwu+iZkUNzbRnwkkCd3JvSEBLbNHep4JmSiUrJNqR/GyUNxaQGKyKu9eOTHJp8CWtYMTgrZJeBvs+D6JWiS4dHAPGS4enRLpPHzJSqGyeXiO+errD4WkLtUKCH3zidMwKVrETIHOAjgrtBJvd1Nqt5EIDss1mxhwjpktENUqJiBt+fPSqFU17vnYYD8w2GhX76ndA8yszdAkz2c3zjKaXSkaLdR1smBjwUooijc64nsshMwiOk6I7ZKTDjHzT0RSjWMXEC0ExLG2BesF0G9pzbyiG0X9pygFM9xV1WxH2nOchaHOCvhkmxFDxWm5wBlAlIetiDrRmXiyaxWUPUdOetzmepRVMpHoiuyC4gH+Gze2ZFFrtvVcuWiGmdsKtJ/FZiLukKwucISuyRORBVqwERQxebJI2/13H5y7K8VLRHTIRMkc6/ZFUvU5u2xxfB/2m348sztYp4jwxKD+WHu8n7xsGZI349nCL46XH5XFAekwIk82VutJFWxLTXKSFz6mLFbXWZoKFDVAjdXiAoG5Jz803HYuOZXXQF5D22wUEVMol3MtCFxprTYJ5CK0gCAHSM/+tf+Kz6Y7A7luach1+yB7V8MSgSNvP4v+PtT/blSVLsgSxJXtQVRvOcEd3D/eIjMjK7GRXZhaI5oR6IPgN/X38AL4TBMgnggBRILsa3cWq7Kqch8jw8OkOZ7BJVfcgfBCRrWo3IrIS8DTg4Nx7jh0zta2yZcuw1pJVx8qEzowKZaOqoFL6lpC1Ihpp/OOkUJo3binMVROeFIdn+9NPeouqGEffZ3y+e8Y5d3iKGZUJuXiUSsjZIbN0mIv5mUlQIWUjcGeXnYxUCWRDNIC+YthPuLzfovvgZfSfVyGq7K7RMUXEoQxS2eKCIoUlS37dVOCnItQqTUazFte9FvLDyFL0cqHx4a0A3z/KrOd57zDfiVrs8FSXbjTJ65WOgHauaKMgs1KMVkXT34IcBOT+cmDETcLQJzCAyxxxDh1OuUdlaiJTg89wJGfDrp9RmDAp4sJPmkhEoM5AgtcBH4wX/Rl33ahiPRUP2CA9qcxskBnkRiWQi7LDVh7jC8JmAuLjciYaKrEyi7jjBCRHyDuZmfuv3rxHZcJfvNsCz/Y59f6dzXdEVB/hAisXtmDYiHOcLhGVqQESbWQae1Gat6SP0qI/su6sll47eU4KuhxErBGOgVilq7dJ2G0mfBwD4pHaJIEyEOZXQSDjISEqreHLuydsw4z/8LxFfZYmWzjL/uv6hH0/4/EQsPnGq8Cadoi7Kvc+ySz2WqipBM85gIjxdnfEPk54d9hjZvEtNskAANqEmCx0yu5QddSobGB39MhladaQFS2rNO7AOq3DUEieAcdaAJTmwPZ7RtpL4dbOFj9V+MnreFJu0PF0I+dUGIHtu4rLa4fzl5I79B8cwiSFrfXca3YMAoFnwrTp8QEQjZDJw3vGq/6MjZ/x1/s3OE4eri+IfUZOQQohxNhvJ7zYXvCrv77B/d9kzHcRv0qv8Coc8X7c43nsEUKBvx0RfUEfM05Thzw6hCOhO4gI1xot9M95/Pgkd5pBiBoEERBElcM9C8lr6WZoZ4xd40dRBkJZoAx1RAv+7dBtAa86xPWB6idqya5PwkvyMzeHdZUoaDAKAAUqtkISFBTvpErbIGIywN6MwdTz0FcZGeCki7TZiJgGILAowGPTz+hjxoEJ5SzKh8gEzrKxlmBEDNpr0NTEl7TCbw+r+DvlvcrgdEkyTUH6aswDQbrTnkRpz6+6YlgFZI2PSe3922xQnR9n6tFNpKQC/dNyyNgaL0Pb0YJW8rpRM2swIe8TL9IhNohcDUB50s4KJGhItUcag8IpGDMFnI/i2KvOE6SzX4L+ia4OU5wF7pYK4bzrRThA17NB1hwEpgXAxg3IxWvgHIOoJ9sjZRAM44El2dUkgLyXBIsIvOkluZwKfGGUwQPBa8UeaCJFkC75OlBuXU9GCwTYc4MQkVbuo1ad7d43e7FCBrMUj4JDVfxkjYTpTtd4K/c2b8yhC0wFQQaKxy5jO8zYdsKLfrs5oLLDx2mLS45N5AhQu2VG2QJVOxft8NLPRs5sWxI8+UO0jpJ1OtZdXFe4FViWZIba57EOklX7G6S2Lca1bbbuq18S7wZJNuip/rmNtSDbs2Y/BFGSr1bogMKhcbX3ZO/KH7OTvRBOcnCUTl4onwPOToo2p6mTRNExKkMS3HOAG10r3oQzLQkHdO0S4MAoypvK2WN2EhA5V1GLBEyk3F0moFYntSRPYudpdQysi1PBg/tO72ORw9s6ep1wbmXeuXJxbVSZUT+88PpBNiNwSTbbKA+12XaPGlZT73+yYiWWDrIFa4pQ4CA3roYV7zYap1VtRgWhTF24dkC9zfCbjGFI2Op805eDnFtjCSjs4J3MP62hCkVhpZrLASjeAgrZ0gYJzluAouxzJrdwwHX/GhrDRgi1bpYeE54BrxBap+PenMLyZTY6o8ABqp9QerGpNRrBr+ZltiIMpG7RRsdpp9RsvHYrDvAngb2dMewBG81kfEU7O9cdxfleqBmHxy3+DF9IbavqHGf9nlNAzerPLwu6osEVndqKQubSIaKGgKfsRVFcRdfYKlcEcF9bwRU6G9SfZ+CyHKxuSqBLlvsxZTjlMXIXACK4qSDmKrPlB6/FCNeKGXlw8BOw+WHlo0hQZ4u/WDsOtMK52bOphpvN11aUXArX7ICqr+NH0VwofRB1/UZDAqA2lnY69kRtv0Yg7wswVERfkKtH5wrebE6oIFy0aEnEGGPEhYCiXSu55+pyqmhczHfUChtUCXTxuJBwqIVaJQq6cr3SgYoHUcRtCCUiUJWks3SEupqlDgKmV50qhDuYSrLxy41HP9054E4nGNgStI6wFOOLcoipEnKv3fR5iVvs3LUCW+lEYEdm26/2uZ4j7X3sDD7JvZpOHWpZOs0P+r0w4ThKshucwI8vU4d5DKizhzv6ts6iWcFtP6Y5oFbC3/JrBJ2fftuPosq87+T6Fe5brdjhgLqJqLwgFswMG4XBapYzQJkQj9I8qZ34UDp5/Jd//AKohPjoBH2gxUIrmFUPSYiHCnf0iM8OZXS4rIXVWLrDcyzwZ+kYYlY+LCkVKkoSiyr3bHwlvlqK7uKj2ZI6cwgq8DZfRKCOjlIYAwHppqLcFLy9OeGz/oDeCeXteRrwV9++RRkD6CJCVLVbOOvT2OHBCe/VZa3rGrdplj3PgVECw4eKVLx0MT9I1358E3A7TDg9DYiPXovZGhutChDGd597ec1wQevYFlbhwk5tYICgH1c6HmWrfuMiKMB6lxCGjHPsMd96QZe+ED/2SB2O59AoQC6RFuaFquhmVSm+Icy3QHmZROvjg/iRvBGEkz95+EeAWqGRpTObgsycDxWlEP784TNEFYjdvrhgvHSYHgdRtj6I2OoDbvE47OA6xvs/CZjeFPz7wy+w8Qnn1MET4zxFpGmJR7gQKIq6siA0ld98xBW16Z96/Ogkl8cJcD0QA2xuKM0J/OEBXArc/R3Qd2AdtA6gJV/mtCkz4tm4sHR1uJZeZ3bWJRBY4G1WEdSbX6R6Qdrdsg6WkNQcqkIXl2HqFT5VZPKY73T0gMIn5ntgellFNCRWwDPCkBFiwaaX4H8XZ7weTsjsMBVZyps+o/fizR/P2nEwDlZZHKrNjnMTNDgWeIAfqYkxLGINEiCWXiT8u2fG5n2GSxV58BoIyFrWzukXYbyTWWHxLLNsbQ5uC8xZD+giMLnSr4SEAE2CdGbfLFXY4aG0xMV4NnY4kXbW7LCOucLPIr7EBnM+16tETji0DqUTx1AjIV8INUpVuA4VSIRwdAppl43mJ4I/kwaL8loGbzO1OzcTLtsOWcWd1jEHOUboCopCjuy+N/5BDEC/JLk8JSjhfCnoACALJM3+Nz3qtgNyhRtnCZh2EbUK9NInRhgJYdTAZZYgp9l5C97ludBkpHW6tIATD0W6huukDpqYlSrJR5TZaVUVrvNAuLxehM9qkCp92VZxXlHGndzeXLDTQ3UfJ9zFEV8ND5hqwKxENQIksNQDwBw4VUnmrABh3A8T8G2BbDYRkSW5iSfWMU64gvIZnxbQqrtffITwz9Yw5CUoafxkto6sQgk9yc8/URe3DrdA5mqz7TWX1igO4kC0qq0jVmogKWhYsSJDYOMkI1nck3bMO1WfVihSIWAihUgoZ8mNDj4R3CTjRJwmyYAItbXRNwlgqNgQqswSBUB9QnQM5qodXcD3Baz8u8qaCH5i5wJTFvvmGFC3UTiJz7MIq+nT6s0GsHmzg3SPKDPCXBtiAHAoz/L8/kmQB9UvhYdlc5ntLverFXrSglRg72BQQ0u4xHc56YJ0ronu1E4SitxGs0nQVaMKWnQVty9P2A8ThiA++7PNAf96/w1SDfj/PX+F53lAFwpSl1EroQbdjySd1Kp2744i8mHXzA6YiwTaV2JaahfhLPu+e2b0z7V9fvaQsU5ahHEXaffV3jU7Awtix2a7gqnRD9Z7IFwY3aFoAky2Ya86yWLPkkTZCKOi62ZFBjFJS7KksGbJFXtqs3irqtSHM6M7VaSNQxnUjn7ocHhabIzYil1Y+HQHh3iygAzNPli7/tKNIIAERlrOHjkwsE/ot6k1sIgY2AgcjC8ebnISZxwuqJfTcg2XEd73oCR+mg5noIvIb2/BjuCPE2hM8HdbzOhADHSPGTUQzp9H5C3QPzL6xyzrPzhUkqKlUUqg3ZfSGwde3Yae72Faxu/VXvwYgEZL8ZPsJeOghkuGmwrm23A1oxUkcQGgYxX3dYGRB4a7Tej6jD5mzNXjthvxtj8AAA55QKoeN92AU+rwzlccVNmaWEWHGJqQqkAkK2qqAP7oUOcoyQokmDZBwv6R4UcdATTaGWGweY07dg7zDbVzoEZC0pmbVrSOU0X/kMHBYb6VESnjS4e0A8KoFK5VUVjON+l4Gx3KbySuimehPbjkmh0X3V+lW00WaFMXuNmhFYqEasWgJ/m86TYgz04qU8Q4JYfLpRPRrYuKS1mCfPEIZxKpEOX/l046wi0dYqCOHpU80sMgPuWrJ/zi9gOCq0jFIRfflI4z1NYcUDYBhVb+3BJch6XBy7JugHS9u1NF3gS4l4B/dojfDAtff5VINETMFsBtws3dBafDHYb3ss7lGCWB1AJMfpER9zPyhwHuvVdRT/Hnl1cOaS/X4QojbwiXzwWBVweJuw0xeaWAbon0JQKzzs2dpDBRXmTcvjrh9+/e4+fDe2AA/s3e4X8+/Azf//vPcfMt4fKZzDMuvYhYlQ4op4BTJnQ6Zol0T4EBf9bk8zbDDQIhn1LA+dBj8w8RVIFDucF418F/iBjeU/Nx7NDGFMrmkH06vZAYY/sdqxAbYWYdr7gROHapTgCwQ20dZT8UlItH912Ua/tqwu+//oD8mUNRbphEAYTpJwGpOnz37Qt030YpOGVDp8l5UIPMn51eVbx5+4zT2IF/eQeXZTTr8OaCkTbw70JrIrET5F3pPChUhFhQq8Ovv30Bcoy3b57x5d0T/uKbz9C9C1LkOsrf5icZi3T5SYb73z9jT4z/8bufybhLApyrkuA+RRFUG6nZEfYVae+QCqH74NE/Akirgvw/8fjxnVwTIzE4p5w0QBdBxRSfrg9Lc5oCSZFDvmglUiBx1CBs7W1Woj+W2K4hDotoB7fnr6XU1w+26nPwqL1TFb8lSAck+OehAJ5BCpGolZCSx3Zg7KLAIRyJuugmJHVAXma5JnVuFXCzux7Fo5/fOrGAHoR+SQxsaddJgMsANOElrUaiVYdFVdTgepZ4Wmu/KQRqgmvfa1gUCMNo90meJ12HdRdYXtdhGQlgcLIGJQOacFGNIlIAtwRMrfryya2huiSn0iETgQmXhMcWTsrbVtEBNy/DvNs98xJUOKyS6CTBNkc9nYpkLAyH7HVsFanwlTlVADJeYmWABtHUkVlXD+eWn2fhn68hQ6IMrNyWiqVIgOVglir3IoIl85xl7U0oZxHiWQo4pOMZWkFHDYcJjb9lB3SJWt1WxWRRO67Nzn1X4XzB0CVsYsLgEzpX4EiFv1anjVNBDBgvlpY1l5aNPVG/6/K7hCbK0D67CU4YVNmCi0+CDFg18WrtlyLAWhlWnwqq1KDSBgddjxSy9RLbZTimq844eMnH2BFIaQ6/8aCVjax+Rrx0DKgsCqE8a6CoEPbrLv7S0fJXoxVsD5HA+wpAjkRsScVPODsUApITGH2pDil5UX6dZawDTU64zzMvFJO1LXvXqhINIbIeJbS2bRM905FZVIQjbAlqGPVeq906xVi2+2TrD7TiTrv3RQqRjVP+yaPxsLUQUSM1qKHxbvMObWxVjSLAg77AReF0RlcRXUHninReyoCxRpxzh3PqZPTBHFBVfdbNEizIWSWdSla7IlIBJy1wNOXYlQ9vKBiDOhuE2JZCl1r2r7uyNenaif2Sr8Lrb374E0i+g9J7qDUlGnze/I1uX7NVQ0Vd7eP1fgqEytdj9gwu61QTwIJiKc6u/t5EgKDPz2LnlAE4CWgaRz4xWqfQIH9mK/p+VMWXchYdDAZ0bA8aJ9A1O7+2WQDgzSC6IQDYe2A7AN4JL9dimhhgQpmNFuHW/Fpue9p87JpjCAaQgVD5yi9ZR9N8tNk6TFdBlbXzxq5PPm/aBdAmCAqnqSiv7o+Tbla9z2iUEMfouowYM/bdjJf9GY4qDso7KkxwyhW10WSLwen6q+9un6Fdr34WkjX2lwVJIKguEu4goxW7jXZjnwlY7qdTOgO3mezy3Dw4+L1HE1UDWhFU0d1w9Tdtugbp2K3X22IlQ/Qskx9whSAwKLih066NBw1hyCSxSSlO/Etg8OxQIPZriL123s9m5wv1AUyti1dVVEfas1i+9F7NxWPOMo4lzTJHmtKKllCvfWU8AuS1Pr8qttn1lE5oLS4z4hMt+xYSa2W/rEPzCYCIB4VBC/SLDcqeVj8+OaQgky5susB0J0UbDljiN72XlLVrnDSeUkpI82keqPsM6qpAqL1DJofz5w42hvAyyniaYxlQWEYdTSWgbASFkHcVvC3IJEUcEQ2UfZf2YuS1l/PCGiXEQIoetRDmShqXi2Ch06ke6RwRVfDJuNoc0ODZLhHKrBooG5klPd9KV3JZP1tccw7yd1xEjK4qBcCuaZ4iHscN5uIxpSCFa0UUeK9j+7To0wRLV/6++fxMeDpukGePgTV+N4VvnQNNWkRp16n+pWSHmjzco6SS78MNphRQjhFBqZhVx5TlnTYZIiNnLxovHOBcxbZP6IKI4BUvry95mtgBt43PjY/7G7PIf8fjRye5FIJwcPVAsC4S7m816azyRSRELdLAhYH44Qx3uMC93AMYZIPmCg4O04u4JLotIVBxjHMR7sTgUDq3BP51CZApVeEARxEisUo2IB2tGuW7iAEB0yvtMthMptuM4XZqIhe5OJw/bmXO6f6Cr3aPq0Wo+HL7hMqE//T+J/j4uEMdvXINCfHgGm+4wav1MO+f9IbSShFttOAbLQlwhREmOVj9xNLFcyQjgHpJVstACtVZVfVZAjDul4QBWBJRSxD6J8bmXUKNDuMLGacUJgZGNE6owEycHmKWfFCD0lowfzV7zTu4xPAX7S6ukm9gOTipAsNH6bheXjnQTmXlLxL8Cl9J4AoGO7dNa+OryiBKwP5CzbD9hVATodxVUGBwcnCTfAYcvXLbZKyNOxO8BincBXBZdR9i0ItlcC5QJR5QF8W2q5wANM0yfsU72RfOwU8FxoVmVfR2yTdIJzvpvDRYrn2uvHQTYQrBmRs3tF2bFnQarDOIQMm8d0h7akFE3hGml8soCQRG2GRstpPATLqE6Ate9GcMXrpbncvwxFK4qQFzCSjVIfiKaB0uL3wNmvXwVvl4QBzcerxQOIntmKJ5G1/SoPd8zUE2e20B+yrLJbG/0pm40DUHU7em+g5q62uHtle1UxReBTWyr6p2d3+ji8yat7eDXz+LBf0KvbXrNUE4C15dAfIB8JEQz9JlbyrJvLom89+r5MiCNT+iITsagiFKosujRxk9SucxR1FktnmjBsfqnhzCCdh8LODTGTzZzCqAtz14Wt6e5nxVPGlFTP3slBgxLyMrwAznxf78XFWMbA31q1rlXtRhi0Juvfo240RK4SvDRAKXYbN63zdOfYi8eNqKvact4fJWuGLltoD60hIfihWb7Szq011C7zMGnzGEhLFE/NnTTzCWiO8Oclhfjj34EuAuDvEgMM4wyn0pPeA0QM17sX1/EZsJZwbOaArjXkURjVpzRe2wAi3ku0HJ8za0jhIcMO8X0S2wX4JwtwQSZisiJucleNUuswlvucJwJwvGxB+bgFU0X73aX6z7q3pa9oPeB0NXWRFmrc0wfJQzdb4VoRujJcD2Dy/3ziVdF/UDDYJNtk5i51dJVCWBztlwS6+Z2CwdyO7BoXsE+ifLvJeg6PLVDYYpwE8FZRtRuy3cXBEezkCpqDcDyr6HmzLixzPqJmJ8swF7Qvdc0NkZ6GT/mkhjGGV9BJlFqhGiaBRd1rxxjRNaOrlH/WOBVyQWe7Hlea9IJRV0m+6pzbu1blnZsCbEgjjbf3HEn779Fufc4fvzHqxQ2egL/uj2B/zJ7mv8xeUL/A8//B4A4Mu9cBWnEnCaO6QUZJ8UFQC0Ilu1DqnwjP0M9QsEF4HuERg+sF67rkkPlI2gHMK5gEm6pmI3Ag0GS0fbJdFoqZ4wvnBt39QA0A0wvRABpe4oviGcFzFM851tDNekQnijv5pGABKhKtpe+xETwrSRQmTItMrNFo1O5oxGM8p9LT3BFRkLON/I/QgnQvcMWLfM4jhgSX6sU2rXBQDjayDfykSGhkHuKshXeMfCpZ4GHB+2wOzgjw4+K2UlkyAWLhk82yYD7v42Yf6qx3RHCvtXQVGllIyvCVMlDB8Yb/5jQukdxhcOeUM4/bSi3GcRiJqkyBdPsnbdDwF4F1ADML5WZV9NWMNZz8nZoz4KAq8MQOpYuLWhYvi6Q/8RrdNPFeiUtmZxv8TCaAXwMgDHf1Px9vVz62b3MeP19oRz6vDLv3+D+ust/qZ7jX2cZCZx6nHJEd3Pj5h/ErDZzNioZkXRKRHTHMBM6H4xIriK07kHHzrQyWP4IHSH+OxRo8d8FzC+FBuev0hAIfjnAP8o6sd+4ibkWTaM/OWEzW7C5dd7sPNIN4zyuVQRDvcyaoeSnCsSD8nZagUAdxK9krwl5J1DmMS2qALzdz1+Pb4EHQO6Jz2bLnpfXwlCD56R7wQRtNXxXTMvFBPWBlL9mx2CFjLKIPGEcxVxP2P8EjDtFImNNc6cHbh4hGePu7+W2OX82QaX/QYbLVrUCEz3jNoz/Bdn3O5GHI4bjA9Ds1HqKm42E+76Eadth5OOYcs7ByQnEPCkY6c2BWVgTC8J5YJ/1uPHd3K9VpPXHVtHgBdYESUDuS+PlpBmSYAp19YxcLleD1xfHWoWDLgkSV7V7mWDrrW/gwaKvz3Tt4O49AIREBVlrcIFiWL9IB0t48l9+nD0mz+rkKpYnb0oxpYFpvypsBBpR8+qhy4zOGkV7BOseetKFl6qx0StstmCFVhlkpYoFUuVjXnhDloVZw3FbLMX9ffWJa1Yur0t+Vh1ci344ZXDBizZEGdtUGZggd62ypIlHRorty7WpPCvunS82ak5rW/tKuj6DVhywXqKDtadABulImOb7H5Ywrp8xvbv37zl17ZvRQQTo1JhC9QqFT5vi+1AvooQly5UGwWk93ndxRQxNm72f9W1XaED2ud3i403kQcLUnqdlbiRqtmwmXEzTIiuovcZ0ZeW4Aaq8PrCUw3I1SOzQwVdUTeXdaXVPv1kmVqipvMgg4xTsP9bF9Dsk1pRSl9euxvyHnxt+34pxBiioFXf9d7LS+k9XAn1WMIt1yhQQ+h8RUt813BS1KV4JPeZlk5s42uvPrcF/ySdPnbanWUGW+XauhYVOscayx42U1zxkpuyt62zrTWb/QIMgTvZOBNShUYLriSAZYEnl08dDi2fpUpievW79T3HJ7+3P4LMe7QZi5LML3ZePYF0DNSVT1Q0TitWGg/UrdbZbqV1dvTfNVCb6S1UB4bbZnR9lrEdxcGHghgKgi/wypNzVOHAyOxwSj2mEpCKR84ydsbmnTaIvRVTP+lyrbub7b6QXLsIGZn9K0JD5+xC/eGVerIHaueuPlsNpMq9q85NsQLKtd0tXTfpNjfebbP76zu2dNU/+TyfnCMidIVlRrv6cRPAM6indO8YzgFlEruxLu2nRycTGrx38R1iOySmtFyf+f4qvqOSIjUMRVax3CudIW4w7ysLjU4KQFmLWqqyjFLbflgLDdp9XRA2vOrw0eq+q5/21M54GZmo8Q5U+4Kv7Xd5ff1SP15X90YQCmhnt3Fua5Tgj/qCu82It8MBhzQI39ZgjMTYhQn3/ozeZWQV4apM4terk9jFoOxXMdc6XqHG86MqQXLFUqSo1pH1AFZ82fW9Fn8g77G2O175wvZdv6wbxSpKZggCc+nXb7Lcq/UF6NG7/Mzefx0f0PIa9jdXe7uaXgRgkyisEC86J7RAqK04Y/GW+uw2jtFsnq1QZHZEYCugKJQoF4fDPOA8dVLEmUWI0Hj+V2fuam+71TihK99pFB23/G04F93LTs9FgGJtkxGdLpY8VzucO0bR+r+NPbOktH0mWq1jV+FiuYJ+syHPPK5jQ+vwqt+w+Mn8dvQVN/2En+8/4nHe4JfxtXQMs2uCX6l6UbQeZpQuoY8ZvS9tFNlcvCS5lTDEjNtBeM/pHFtDSny2fA6XgZIc4Fg7ylCEmsXHC38ZDDlfnOUWEGSDk6/SF23Y+Kt7Z3EpAoBZX38lYGfrSYmAySFcdP5wUpFeRygb0YKQeG91z7GK+x0vvloRV60wA9H3ACCfs5DE99Y9zSRjAWeS979UhIkRLn7Rj+HVHg4M7xldEHgzTXq2BZZONQvXmgAdScUgV8SUq1f0FDe0zm+NxX/H48dzcodeulbMgJMxCzLSQbii3C9vQXOGyw4xV8AR6q4Htp0ImNijMggV/YcZXXBI+4C8ddoVqEunRKFFoZJ0hnUskFOxjryPmIcOfq7wo3hiEWOyCqrg5fNOxs3UXQEiw3UFzjFe3J3w1c0jzrnD47hBF4D7twcREfAVf/n4Frf9iJ/vPuJSIv7Lw2c46WgbmaNHcBO1SrslUdKpWJy0KQL6aRGRMmhvq5Y3KJMKKHiLLtH4b6VTBcKVU26OLODK0QJoHbEwoo09OX3RteeJ6Ne18Fc7oJwEktKVX4SqzLjD+ElQoU6dwS2wCxflY1dqY43soLPOg5+XETkLH1uu3/ia7JV3U1nk0M+f8IqjHBSUXIOvygtRq/LGkweqrsUE9M8VdJlB80oBjBnwAr8nL8UZOAd02u09X8ApydisGAEv4wDkvrNIzXYBHL1UiNVOw0nWirX7RanCnxLgCWUT5Wc6h3QtrNQKEpoM1OBQtfNjHFwLOPNGBaZ2DHo5o+8z3twese/kgPi94QOe8gb/eHmJyoT77oJABVmhPokd5hqQq8MpdZiLx2XqREVRu1yi/isVZdJEwLi1LbitCypB4For7jGWrpIJhLTA3+A/Ng6JjIcoPys9VNl2qcrbwW/CLm1UkAXqvNhc7gXZEUZGTAWMJTgzuH7eOqSNBNbBEoG1GMna6bJ+RoOOVYB0Mweb12vdH7/+w5UbDMthtIagXu3hDB01SKiPviVLCxrArwpYypPOAmGLR+V2hgCUlY8+jYDvwUFt3dSWTc8ghrYH/Vk45xz9qiAgBR4ZLmsvKsGf+Ag9H3rfOu9+ZBBXGOoEfm3jAcS8jHpzy1oU5WILkkVFNO7EzvH5hKFP+PLFE+66C8YSMRWBdKWVym6qXkQEfcJYAp6mAUm5btYp9CdVt/RA1eTCuu7+vLLxzIjHJQEEgJKXBLeh+zWwtRFHa/+2CGbJuSCd7iUIXAfhYg+LP7yCF2Px24ZAYFr+zp5jvrsotzZtXSuw2D31k3St0tapbsMCy5aizHUHV/z5sr9clikD9jnXkNC0FT0GO68qxK0aCgKjcX6hvnRVfIJxr5VrrCr7tve7Z/HpfrLkdQn4XaqahHhQrug+zG10FlWGuyRQrijbiPnLG7i5on8nomT5tr9CkAEVoSlg2/1QmG5aCvoyegzCsfYe4Lp0d3cOeWevKZoAYZT9ULplbeV+SlG+bMXO+z7hi/tnvOjPCK7i/bRHZofo5bOY3efqUODwMpzwhy/eYSwBp9TjYdri/XGHy6UTepHXoNyKhnq//CRr2rY1y3lpif2804B5sudzS2bmu4ASqSXA0z1JrKi2XCNQNovd2h43u7ckNynct3QKeVXxLpDsf2CNOpOzT8aiqB7GUbUBVJzOJ4bTjlANQFZkRRilI3d5rfdTu67xxIiHjLLxGF+qwNbMLVaxrm/t1OcqSCbtxVb9RcbI2CgzGXEl/iMeAHZekGWqPVI0bn083uIp30m3Tqla4bR02Q3pUzuPisW/Pf43PXygJbZUVe+0l/s7vCNEFfU6f9a12C9cCJtvHfLTgDLIHNZwIux+zUusWheNifNnhMv/agTPHpt3Ed0TI2/lbDaePXtCOsh7tHXZEqY7QcLM/+oCHwvy+w380aFshGMuibeelceAb379siHQAODr8z06l/Fv/+hvAQC/PLzAX33/BjfbCb+4/9B8/pQFhTaydHDn7HEZI8q3W7iZ8PCVCA0yk/BfC2F6IfBgmTwhPsgfPOCEGkiQgn3ai7ox3gLx6LD9VjbNeN4g9xt0XvjGLhH4mwHsGdRzQzMYBS+c1Kf9ZIQPFeOhA13k/dgLhS/tqflQp7OWrehVNou9xkogVZKuETj8Qt7P5jqzJ1BncZlAg2V0EoNmwvjNDvAQqp8V3giIDyISGE9A/yDIg/lG1mp8LcKO3QOh/7CMq3LFof7FHg/1Bv2ke3kPTF8kkGc8HjY4nAfMU0CdPFxXMGxnpOhRthJH+5ngZ4/ugbD/uqKOnxbXf/vjx3dyY5DU24JGr4muzZ7Vg5hyFa4iMQQS6FC3EW3QPdBeg3KFT1pNVWVeN+v8vioV7laB0rmObhaHLu9BqLFH3kp73V8yAIPw0lV1sPTSSqe+wkWBYIZQ8GK44M1wxMO8xdM0wLuK+80FniqepgGPlwGOGG5fUUF4Om0wnjpR72VSJVIslWet7hiXZYFAyv+9jiq5ws3betTluVJloUUd2S2/WyvwriuQTQFTk21zGgIjlQpMHghpt3AyWre9Cu/A/ra9VtCurnG4nASABCyV7pVgUrvF3hJVrbBnERtiHeeAoKMQIEmQOVNLxGmVIIWJG4wOLMGyX31uytZFNzgILZ3PVWU6XDRhGPUgvLAgENIqUDeYpgbpKPJvDr79nuckfK6g20oLEJQkYBJxJ3kuZfnupgzKVVQRnYebC9x5AoJHGQKYHFyuIB1NQ15tyiDLlkhFj9K55R6tIEmlh8Bk9gW77YxtP+Mn+ye87k74b3ff4I/7X+Mf00s85i2mErBxM4KrOGSPxA65euECVelwzTnIPOjZK2/GujRLgaEllqvk1jq5VAFf+aqKDEhgIJxVbs8DLCi3DqrYTtVEoPolMbAh8QL1luvgtCQVrlx3RuxhgmzGoWydApiNqGhKJ76Mk/j8asUjfaw7km00DGuy1t4MCFl9VJBAre1ZhwZ9bv+3z76ya2BJQGwutMzelEyGGKC0ChbVL9gIGz/KvpJAnwC3BEWUEuA6KeiY3WvnGIAktMHJqKxUmq8ngYrAoMZCU7leZ3L691HU7e0+WBfwWjyMmu8iFgVng/a2ZE67922e+VYUKMu+4mY34maY8LPdA173R1xKxKV0OOUOH6ctCjsJ+pV7HJyMt5uz1/FlVkhYuHPseLkHLGvubI5ykT1tI1KWD602bYVKoBUhrMPt1ogFtef2/6BjmLAqYKyeW6P5YAlimdRE+Pr+swUpQOsgUgXcamKBnUWto0wafJ8q3FxBG53hat1hLAnO0uVd1GtbkTYV7WItM1GhCIpFERutA9KKOCsUjtPk3LauFShrRkuewuV6fbzCVynXZpv2sDm0CICbKtx5Bkpd9mrKEqfc9Eh7j3ACum9Gse9tBx5I/XiFIyeoCFtDks4Lm4828bus/PIc2vlqQl5pK/shMOBXIwFLJyIvreAFtMJ17Rn3N2fcbUb88f23+Lx7xjfTPb4bb6QYTxVwwFSgY81k9bZuxhfDE57zBg/TFqe5wzQFlMkvBqSok3U3XxSFlYPeyX1qatoqZrguUML8KQO5X2I2dpDgtzf/KkXYdCd2E06LKKHsOywKs0oDMeXkwIC/AHDK0/Nouh0yA15EKsMFYD2bLPlGtHin6muLWnOYpKicSehsYKDLrDz7inDOKINHHjSpP1S1P032bxzGjVvOMQaSJt9R95PpBjBBmyISd4WzFnu30rWqQWLr8CR0CeMsNwrQqqtOlUW4bqX0PL4ENqOM4sSnZ62XDmU8C7LG4j8TaeyepTA630tzyE+E/rHI+MKxwBX5uxod5puIzX7CPEVQjggXLZI4id1N6MpGwDTV+06U6Oe7ii/fPmLfTfiL8QvUOS62tzpDaSbQHJAB5C5jIsYpdQhdwb+9/zv8JD7g/zz9H/HN8SVCqNgFMcL3rmImUWFPVZLeeQ7IY0T/5OAm4PzKY9pL7OZ8Qe0cyiAd2DLoGK3Jwc/q67LdD+VSq0AUlSgimkmSzRqB8RVhvtPO/yRxYbqtUjAFpDPMssYcGLubEbfDhHdujzlG6aBWAjuZ8MJMwCHCjasCJi0FWCqAr9CJM8B0D0xfJqmKj75de0twi3zOuq3SbX8MwjUfgLLnKz/gLwKZ7h8Y2x8y8tbh8FPfJnWUXQU/efHHxBqHsxRUTssZyo4wOXHueZIRfTZTnmNFF2Te9qmroCJTJtwkwrvb7xPqtGpC/ROPH5/klqpcGJaRE51yc+csa6KwWqpSSSVNgqlWuDHBzU4DctnMHGS0AJWqleKKeMitc9KmhzBUmVl2LXsdARS93Iwq83IBIG8DanRIO6eJrTrLVSvddQVdl/H65oR9N+GLzTPedEd4YjxNG0wl4PGyEUU7JXifU8Q/nF7hkiPmKQr3TeFtoupIC5REq/J5swQwJo1vsBd3BYFaJbvrxE2DFetipJ1WepWjQ1kriqvqfBm0spg0gWVFHVTt/poxnPXt1KGkrWvv/+nDrkdmTtrpK9/sNS0xdgkIO3ktSQwIvpM1XCf0fpTChmD5l0BrDWtyBeC1iFflNrbBEvC8kUO0KoeGRigHyC1dlxUnhnQERLhoVXbU6GotJKTqySC6grSRivawBUfeA10Eeyd7gKgFvVRrgw+1boR2wuS19DWCiGy0wk3j5roWABqUjgSbKgGbg3LNReDDAsca1XkNBZsuYdfNeNsf8GX/iIESnuuACoebMKJzAZfaIWWPS4kYi8CULzlirh6nqZNEQOX4/dkhPi/Jh+xLrBIDDQZX+6Alg2uoPqHBdKoHoNwtq+Sb2Err4OgBKXtKgr6rddXAASDUYtcC7aIv1VOAloSaIZwxK0ZB7VDRB8YNnG6o7cEr5UdG63Lh2Unhyj7rp8kuK1c3qQ3ogVMBGKwXisWjapxhE14RWKAJL/kJrevdkvOWYFtnbfl/d2LEY4W/ZEEflFUxxxLaNVRzJdaFWkHzKoF1EJ9NBJfK8pxcl2Kn+XedYQxF3MSj7iEVUqveLVAvvV6b+U2VwaOo2Oata11JC5prkOBWRlsIHDm4ips44nU8wOtg+495h4o3GHPEKXfIVXhbcw04zD1KdWAWUYvKElgYbNYU2JfkbZVIkiTxJQLkV0ktW9GH0YSqVnxz0mKPJTnGubQCoQXr7f1YOcyrgqYUVUhE6NzCDfUKmbSkOUwMn3mB9a/MMVwYPK2KobrvEIDLK/kD4xPK753aqPuNgiblFe1C16bNr9air/hqTXxNiKcVeeXv/CQdKCvustf507oW7WxVrm8bx2Mojpnh7R7FAKxUZ+PThKDjvsiKPTGgDqqxYFSRKaN/ILi5gvV3aR+Q9rLxzUdbokT6uSwJNO54LWhIlLzzyBspCFotqY17snN7ICTyDbEgM81VgdWC6r7i85sDPtsc8Pubd/hJfMDv9e+Rbjy+T3f4z8cvMBYZEVTY4VIivp5f4n3a41eXFzimHh9PW8wpIF0iMPpmE5QXwSSOAFSUM+sokqY+XJdCZrV9or6n2RHQilatM2sFe/XbZRAOvTQxdK30dUyQCUpZMVrU+kzhqqgCJ+eIU96r8YeDql7nXtTxTQ9AzktZZ9H7EO0Ku36zJ9uLeXBw+wgqjO2HckWbsQBNtFZk8gF7wfBIYiiULENpmAaJQVy9FgxqJOQk8YsfRfPCFHF9AsITNMnlKz8fT4zwPF0h0NaQX9MDqB7oHiRxTTtBKVlCZskHCMiD3KtwBIZ3ThE3ev3kUTSmZSeFwMs3e0FaKKom7bWQsSXpFzg01EY4oY0MpKoaAhr8mo4i6xlQtxU3nx8kFn/agkePuE3YDTP2ClfehQnn2uGX82s4ktnF3lV8e74FM+E0a9ySPXJ2qMWjzA6YvOwlItDk8fS0NYMFJxUTc6Tzz1mSQVN4Nt8+iWHXXuJOl+XzsyMcf4+Rb4rkSJ6xnrbiL8KpLl9MePHiiI/vbxDOPVBlhOA0RaQxLIrSJH9fD1GaMwcnkPVZECuCDtD9ZaOINBaCA/xDBEcGv5gRuoJ0lj1fIrfJKt07D5dDsxfx1ypeanVvLSxP94TaBZROx61GbWCcpDhw/ErsSHQYBDVbNtQKYvOLgtefP4OI8e67O9DFt/PVHTucf9mDKmEo1+dujYTxdUSZPqFZ/Y7Hj09yq3kagZ/UzkuCehrRRKg+VR3V6pS7JElsFcbJwaFGA/ZDg6ECN2VwlHl1a56cSwVulN/VzqsxutYJCZeC0jnknRdp+p0eFv16jIpUYLouY9PP+PntB3wxPOPOX3AXzohU8Dhs8Dhv8P3TDaZLRIgFPlScpw5flzukImIvSAtB3zbwOsmtAeB+SRD9CLhHXmbdGuzLW1Bsh8KqkwO0qnkNhPlmqWrWKDAT67zmrQQl6UaqK/7gWgfXgpwySKDuR6A7CcfAOmNpB9SONIhYIMT2YBIognUT/Iylyts6MvY7rRLOVvldBY9VurN+zKDCCBfhbJTBI++0aGH7vLAp9bf7HM8SaUrhgpC2TrhLjDaqyebRNiXHNQRaE5VwYYSxIlx086zUlTkoVmXFu5VxK7bzNRgPATzobNHRiCm6B5iBXIVrqJ3h2nlJAIBW2OEorRc3F2AuS8DFHtW6ekHg160LRItNWEJoAg61E85W3CTcDiPuugu+7B/xe917AMChblBYYGzn2uEfLy9x0MDfeC3nFJGKx2WKyCmAzgH+6BDOhO7J1kjuiZuXDsUirIMmHNe4bYpqMBhxjRKoG5fYHKvAqyxwxApVAHC4htgYN2bpZJkIlsCdwoUaVNGCf7NtCyjFBmVdRaV3gQuWSG1QvQUB9pDuNSmEbuWnAMAg56uHz1VEr4Jrfqs1q4mEC99eXKutFkxVwOYqChdn2RPyoeTffgK6o9imje/ongviKcMdZ2BO4PxbKqLOigx6UaogTqlIkUc0/wHnpMBIUNVs7WSmDOqidKG8Q+3FP4uifgHNqkIOtPOBPLfE51PSt9MuW41DK6J57eYZsqQMDN5nhL7AO4Z3FXfhgs/CE+79Gff+jF+lV/iYdji6Tgo4cDjOvdh5kT3FFuTURU+h3VMtnrTgQR+sKtc2axyJF47dSnSo+UVHLUiqQYs4XhMcFRaqXj9Xr51Apb+kPaNsZNahoFAWxVYbDUaF0GtAWzdiC/GigXTgFlgbJ0tEd6qId201AQhy7ycNnKx4RWp79vlsJqQENLyM/cqLyFgbjU2GpqKlwz1bJUiLXBqViCANt/1XuoU/7/TMRFqdMQktaTYkhVEGOAbwKtzxHw9wG7SCohVkyq6T65oyqFS4KcMfJ/G3fUTtPNKNx7wTqCsOktT7lAEiOB2fl+Ebaixrwc4rNcnOJ4GOyut0BxnNl/YrUSotbhhUvgw601zhxH6b8Qc37/DT4SP+dPgV3vgTPvcFr9wGfzb/Cj/MN3hMW+QqdJNT7vGr8SU+zlt8c7zDJQWcTgPK7EDnAGe8PKaW3AGrgLmqnfEKJmvnaDbYMLWuc+PY6leDqVtRyvjE1g3rhL5UComv1HPDBK8assMK3OuCUwGQ1TXq2ePSIuZpI77SfhkBZ8m6qdu2MydKXOjHReSHHQBFVRB7hFPB5psRHD0ub3tN/KRT6GfWbq3DeC8JQndkhKki9wL59xNj+JBADFxeR+SBEC+yd2okpIkaWomVHlaixGnb70srFjX/Q0D3lOGezuD5vPjNLPZpolN+luyRP4qvOX/ByLcV4eAQnzTJ33A7P0DA5gfg5Z+PKL1Dug0Kl3ctvgOkSLP7lW/7d75TZM3AS6EjCMoGADa/Cghn1hF5muTanEGoO7B7u0v473/xn7B1M/6vv/5TvHu4wX434n4jaMs/vfkakQp+Pb3AUTfNfiet4x+OIr42Z49aHaZLBE9edCqSxKAyVpDhLgSeO0lmo66Tdmg5MhCUm2o8aC2Gx4NQtfJWaAcuKW1my3j9pz/gT15+h1+d7vHhvENlIBeBSeMfdvAj4fbFEf/97/0n/N/8n+Dh6zfi154i5rhKzxwLbCET4pOX0TwnwCn01ydG2hLyK0Gm1q3QL0k7pThEbL6WPIi+mvHliyd8/fEeYx2kixwq6ilg+zcB/VOVedsbnWDCTpXKIWgmr+JaGxFLk7nDWpgcCT4R0p4xv01wF4/he2lmpb3A8PNNAe0ybu4u+Lef/z0OecD/69f3CM9LMr35gfDqP0v8fPo8yDiwQeHxPXB+41CndYfhdz9+fJJr3S0WGDKVRUjKIJ5CYndA8C0wAqxSVrGGuZFy1BoUs9RmUExoENBPH3Zwtv8HElGKBodalNvydnGwnz5MhGGICZ+HJ6RVFBtCQYlOB9BX1Eq4TJ3MplQFOhN38bNUWK42KyQXkso2GryMVWDA5o4CltxCgl2/JLYNWqbKg21gtnJoysCYlVNYNgpB6BSLr5L6C2dP3sMShzYT1GHpCrEGDsbNLaxiwsZrtO7SckjYkO21oFPWQKx7lr+rcan8SlVeq//MEto37i1fweecAyp46Y7w9XMk8VXRkoIGW/XTih9lwandG4WTxVOVWYSjFF/WgmkirlN/4+cLTN8Lv1EWRwJ3bwujQXsFEKGpiwbARfYMnHWneHlN6H1YvRelIoJVWiWuvdhn3vimGl466PxSCyZYFBq9jL7axwlbN2NwCTP7JrV/KAMuyl20fZCqwDeLCpPk7FEzARroG7IAGvQT0KB4Bnc0uDA+2W5mN8Uqx1p8ar83PqKhETT4sGS68cai8kxEGLQlm/YabImQQxOpApZ9aQUlMwoLKuUaqf2d+RBLbsvAbf9YZ8HN8vzS46q7LXtNbGPN2YQJTFUWcbcs+8teb+mAaLXZAkvAxE1b0cZgnbYPAO1mTeZT9WeTdGOplCVZtYf+35SsRbkbizjVmmtfq3Y6tZgJSJCrolJrIaU29gpADU7+Xa/tHCaqZn7ASRFIPqOTLo9238w/NuijFixdqHBe1GQDVUQqTTytqp2nKtB7e8zF4zJH/XgigFGKQ00OvtDCpVVbbuJJdvm02PL6uQaJbe5Gixelk/Oywa07aomldUpLp37bfD8gIyQA1J6FN6lBsAOLgInagp+hUEK1j6zehhcI4dUYrNXnsM9gxUoJaNGKTRjsPahBJUG8VP3Xe5wI3Ko8+r60XCegPMHm4RbOvNgrX72miKZxQ4tc0wq4JbkG33ZZfK7pdKwf7L3Y71xBMUih3ZP6Y4s/ls8BLeDXKPogkRzctOIXG/KhAgRuhbSmjo1l/7kso7WWa9XkTYts5vPsdQ2lVYNscI4M7ipCzE0AM7FoJ5xqRsSIkXtsfMJUEy4+qv0TTqXDMfc4zxFzlj1A2jazM9PNq3OZ5f8gtauVkLpcH5qWQqNQWHJsFCq1MfGdWsTp0UQ+m7CYk5ihDhJbNXErjW8qLKZR/QcVqGzmZnsyLr7h6kHQxHnld9xi31JAwCp5ZGSlPNlcYFP8BnuEMTT0SSs+qnCnUXNspExDL3g5SyhAhOXUX7SZ1Gr7fhK3XFgKUrKgav9aMF7vC6HjVEGRuX51g9SGvBVyqXV93QyEW0HZkCGvVn7V1lPWxqN2TmKMYPPHF3qJcHPNvgFDQ9k87Nbk8QtNxeZCA2Ibh0svcaWXZNiUh5kJ34z3uA0X3PUj8EJuwZQDjrnHD/MtHDHezTc45Q7P04BxjvC+ogtZIMpzkPE6DEWe6uf0krwRW9KrfjrWRVyp6lFVPNzFwY9oCIdWiO+W+FfyCik4nqYOvz7fIVWPTUwoTEiOkbLHHBgUgMvU4S+On+M0de01cZPhY0U5BtDkwBvpTufgkScH7yAzgpsSverkmM1XAjLAWjhwicS+oyR9qXhs+hn0gpGTR56E9zrfQUfXLfGSdLp1X1dtoOjebfxeO3suSg3wQN0KcpJbsKJ2kQk8eZzPPf7y6TNccpQCOZZilVAYXLMtO4fKALA2rspvuvXf+vjxwlNd1Iuq4JSls1Q1EbCA3aBAG4UCGecGElQAUHjbKlYqyl+ZlRvpnIxxsWprsKRGeAvWCZGVIuSNa1UwdhJAp51U7aaXLPDNIgveuB9MOOYe7+Y9/vX2G/zvhm8wuBn/Hr8AANxtRuR+RqkOpRJOlx7zUw9KDvF5SXBFOALoni2osw+r16dGIXMSpUK9JD32c9s0q66WW4K6+RYNat0qp144adNnWQ8Pbo4dlVC2FbNeh82EdYkabyCtS4PmqJPAgcOFG+SSnUAOLBg3GKnB2cY3BTxUkM6j5EpSAbsE4JcB3UGTcBV+ECEDSJCbK2rvW7XVj/XqvoIdKABuUogYdF2CA0hgSCY0QWyKpjK+w491meUZHcog90tGUlWEhwvc4QKbd9twroDYYKlg7WKRQdoUrkxdB3SdFHKq4ENMdI3GJD+LocE22TugMsLTBUgZ3HdA76ULZiJTwWmgqLaRCtxR+Lp8L+Ms5tsgY6S6JalNe7GZdMvCOd8VhFix6Wd8tX3Em+6Az+Ij7t0Zz3VA4oBDHfAP51cYS2gQt1RVrEEroXMOKJcgYjyTU16xOJ8F/s1X6psLt3uVAKi6bjWb1mB/vpWDQW6qBkV7C+b1+1BBQwEcwwepGNXRA5XAUW0luSaGRZ0UHGoWm6fKyGUFkzS1TIOK6+HXKugRIv7SW2UamF9UsfVOs3q18zp70NnDjQQ/S8U+Hhk8MpxnBFQpulwKUBncOeFcQddFBfQACLfKxuyskxLzI6QBMbCMX9LAqsFYmeEmRjzmxQ8D8JcEGtWvxg7kltOCQxAbDg5IBZil4EN6onAXpXiTi0D1S4VzK0iyd0DxoMCSwKvIlxsFEl07j9r7pqNgY7VAJAUcK/jo68334YqjWnpaDr1B7fxGCg5lX9F1BX2fsI0JuzihdwkDJVQ4nLjDoWzwMG8wlghmgiPGaexwOQygoGOxikM9B1Byq9mtKxG8FUxZ4IZiq60AUViLC1WQMAZhtSKgzUTXBC7vCONbbnQT69bWrRZ4i6AQaFuk4j4JaggkSLYaqI2o6w6CWiGWhMIVqJCfQg1XKs3rrvS6iEpVbH6+k2CmJVlDBfcS/PmL0+RHgppwBoIJgdAqUWUs/Grl7wmXvCqnV0fJmP25VVLIaLYMliJlVJEg+ZlQDwxpZHQX+xxulgKiu6j9rx68G0DHDD6egJf3KC+2QGX4wwTTDGnJeXDawRXF1e4xY0gS31gBv/YC9RXdEEbIFThLUG+xSY3ymoaGMsV4GwXIXmCOWSGPLklBb76VIFoKfQzeFgy3E+52shhTjXiuAyJlPNYNPBiPdYvX8YCtm+Go4lI6PKUBz+Me7887PB+2MgXPM1xkqcsmIBwJw0duPgbQhCsrFF7jjDzoPVVosQS+cp7Ho6x1GdC6ln4StMLpyyrUkoqrQpHoVVS5ntsCRyyK6KZxwgB3wNQJx2/za4/uka/4iJYolk6RXHav1R4blcT8KAHFCdKt9oz6ZkbsM9IYwKMHZYe8FVX6/lHiJFGtJXQHBns5rIqNuvTywq5AqBusY+J0vwnnF42POtVFVdclLUj3pHDnApAKs0W0mNHP3Pj/fq6CIhizoB29Q36xRVpxcomhKBfAGk5+Zmx/sGpFj/lEDTUiFDQppviLJHh5Szh9HgUOq2JS41tG2RVwqNJhXJ258ahoplm4wNZsYE/Iu6W7L/5FbToA+d0O57BBfzuhv70IyuA5AoXwP33/Ffb9jP/Dm3/Az/qP+HeP/wr/+YfPcUkRUw4gYhzmHql4PDztkI8RfpexezFjZkI6dposFvihSLc+O7hQsd1PcMR4/n6P8BTAoaK/mTBfIuJ3EX6ye8ZNcKkMMqaHO0a6lc9oyDKJRyvggMO7Pf78YYuXrw/4xf1HQVSkDsyEy77KGfd+i3/3/AeSVO9lju8f/ew77OOE/+mvfo74zmHeF/z+Z+8x5ohv+1uhF7zv0T0zxpeE6aWsY9WZv24UGwhnEbNKe8b8eQZ1BZEYh6nDz+8/4g9v3uE/PnyJv/z7LwBinP+VOKfwMSI+yyzgvJVzL5zEd09vCnCjwiTKo6WzjEwdPjC27ytOs9dithYDYPkEQCcHvjjws8dfv/tKfMxM4hsPhHgW/3D6XGkEW/E5860iUi+uxYz/nMeP7+TawxLaUpcDxVQ1P5Hib39CK5XT1aPxedaJsnYV+Lc8X15M4z91BjZOwhxcmy0XoPCDqpuesM7tZCi6VPxHJoy1w6wy5MFVMCAzuqoocJLKubch39a9WVcuDFqycuomqMFOL3r1QSosyaVVpdEgZMopHnipfpIuGmSToatandVCgMpuE8t6EKQCQ6vO8afdiPW1N9hX+/nqBLQfWadMuUJukxGU51wrIWePxIQag1T8qnZ0K0kjibgFvGzwXu3UWreQq9kALRxHAhaVRl4go9mCfoPpVLhUm+otazXWOtVkSpnVynaf2pfaHlegumueoj38ch2fBlVUWTb6UoBdrrlUed/ilr9bV6nW77Pu8ro1QkEPW+OvhaUIAs8gki+n7544YOSIxJLEVnbILCJTVe2msvCJsopNzSo01QS9zK6azS+diQbxsmqwBhVtj67s2yr+9jlsO9ROoJrsAVY0AvqiCugVMYocfU1Ox4hAeIlZnYETw2kwf1q+bMsYekCegIYkWKB2tOwzg9h1K5GJUBFiQewyZheRs6xlMXXNCaiaKMkYIb2lzJ82tvXn+g8T2tBCmHRVSYtj3CCa61El6y5W62YlRQqsjU+7qmaT/+RjJZ6z7tZ+apNUdI3sR01R2ZId8+WfdI1/19uaqrY3aOvi18Wutahj/CPlMMjWo+bHpxpxqh08MSJ5jBz0d6SjsKRTwEWutxaHWt3CnVr587Vtt24QQXj3rZCz/Fw6zgvVxCDCcg5R6yqVbgmipHgm9g5VteQia2F2z9mBlccORwpJo9/w31dIhdUevCq4AgtnFrgqmAqVRzrHHITy4DcFZXYoAJicKJqr8qmNizPuqSWsraP/yf0WyPenZwkvZ/L6+uuqiAO0c8ESXJdq69gaPHpBlSnCbIXA4TV6oSHJ9Dmlaudbi0t6HpkfsQKNQa7NDxMDmNBoJ1DEElmxp+pNaOgftA58Oz/DUuijYva9+BwODIoVIQjnfK4B59LhXHsMlMSfgzDWiKoGYb59LhJgz4bGYUI7aLTobSiEdZK7dCSFSsJrP0mQfW/QehCc8i5LZ59FnpcHCFzVsUw7sISTCRzlcznP8F5GxFQmOIjgIqq8L3S0zdq+m98hrPzNykbqYue2B5b1Xnx66DK2w4wTC/KZEwPspUcQFo4yAEVMrQoyFuOpbTZbqQui49POsnWNG1rBYjBCm63+afy15q23sYMqvgrnUJ2s1WLnMCZVs6+r1/gUfcFoSsj28xqN60kthhZ7rEAUwVbZxq69hnVyP7UlyvI0odjp2a4dVWvGAECwMT8kP7tMHYi4ISsri27CnEUvBJDuZC5SGKHZoXjRECnFtbiFs/grACAvyFFH8gWF4aNCR2mpPyM7B5bzQHykIiWJBWFqI0gJrcOJChFS0oJqoILeZ3QhLwZcoVQfgKOMWOpUU6LZVJVJAKmK6j/buEZzh37h4HJFu961dgb1BaHL8H7xg1k7veQlFnB90XuuUxRoea01RYdIEZd6c6lqcUeLc20UKqEhkJyNhCu6Piu/b/vFabG2ek1udY9C90WzLT2P/zmPH53k0jSDVPVFgnVddYMkDx2a0NRxQhsvtH545cSsBKjcSTsN2gXmLqBsOzQeQOH2Xk47ABwc8jaAHWG+cZhvjXekncq9ilh0VSALBFRfJFhVawlUEV3Bfzj+DP/L6St8nLf49nSr3VuHysDzYYt8iqDJITwLBj8e0OTZLdGYb7VTOPJV0mKjVYQvKZ/H4MCWqLQkwGunohPuYd3aoQS56Z0cGhi9VG80i+BEQuQuy2aw2YHt3tmB9kmsac54rYjb+FIGnwtLkgKSZCTfMGpfcfPZEfebsUEGLzni6SLDn6fXMhKqeyJ0B7HamoEMh+lFtwpi1nxEKCTKCiar9QmuwRq8qjELn4lah84VwE1VxvZoB4Csu64HIztCuelBQ4AbM+h4BvKneCdIESc42DihK0hyE8mRAwc6hkXWlAQeOklQ3Nbae/DWy4Ezi703OK0pjEfl7UYPUA+OHnmzwIfyRqr/eSd2l/fi8ErPsGkCpThMKeLr8z0e0wbfTbeIVPGqO+JFOCGxx8vujIuPeDfukapvNn+89Bjfb0CJEEap7vqzCHr4ScYgWUFh3UVkXqCaJiRWtXOUB1GuFNix7NG0F+hQ3jB4KJKca8EmRhntZcl68BXbfkYuHjl5lHXQGsQOKRH8hdpBawFPg6x/WjCzRESrhFZUks6FjWGqwG1C7Arevjjgth/RuYLOZ3wYd/i2u8U8RYy1h78sSR5oEYTjQGANCNYzf6GaAlcJiDfKBRpXP1ykgl82AiGXLhav4J3LLHFS5eKWNNv2CgoSnSZwHpclyBmYZlD2bX3YO2DoxDYVXQCvtr9G5pjYICC+PGrXlhmYsyARqsBHpfujXT0t8rB3TYSt7Rk91GzsW1WuYh6A8bMiQ+snFZSbHdLjgLzJePAFYxfwP9NP8VfxLTY+YeMTTlmgfI4YUw6YdZwQRUke02MAFZKqdRHxI6rQzgnavTHusKhYqjL+yobGe2qdWRtZknak3RA5j2wkWI28CJvcZ1CQwDGEghgLdooeOl565OS1aKmJYNB95hmuCoyQHSGcGfEkZ5yMllM/RNINCqPyEVXRvKGEOjS+VY1AHRj+87OoVfcz9t2Ex3GD9887zGPENPfCI7bX8K4FuPZwqarKMSMkEeSpnWoKzBW+FIF9BnHIFuCbxgJV7eCukt1mr6ZeXFXDYFVglHnjDDpP4OcDuExX2523gwhSAQjvDi3WQPDAnASpsOlRt/oc1WowQa0aPcrGK3zTwRUZUWOK+cgF2PfIO/l7Pwk6zZLj3DlMN2J/PkmMkG4EaeYm6cLUCKSbKkWP24R+SIixYIgZDOBvn1+jDxnn2uFFOONcO5xyjwoR8plrwLfnW4x6Bp/HDiX7RSRzjKoKTjKmxYmgjJyZsr5pSy2JW1MzCNf0HxMBvHy+JC7SwZaOF28LXr55hneMw3mQZMRJUhvCYudPxw1yCkLtYhmZ6PsstLCnCDeJLaftco4Si90Siy+MJzSf34qX2kkU4VGoyBSj3GdQX3CzG7HrEu63FzhifDxt8fh+Dw4OczGEmOitVA+M9066ou+LqGvD1oiQd16LnFKo8rPSbiw5Vj+xjsBtTJaIQNVWuKoBGB4Z3VNeUGtAo21QH2Bihf48g8uCKU93jO5RkIU1SkyaNwCTVFLOnxPme+Efm7rz8F4QB+NrOYune8Z8L/Zg6+pGAuDB5MGO4UdRf17mBi9FhbwHppcCP+4f5DmlE10B0xMoHvD3M2IsyMnj6XmHclaobgWmS0RKHv/PX/0h/l34fcx5SXZPc4R3jM5Lcvhw8RjeeQAe+Vcdqmf4Qeyxex/gpoj5RUX4yRnMwPPHHZAI/Q8e8Zngx4B02QIBmN7Kng+PHn4i5B2LyFIHlNsC6NxbkGgdeF+Qxwj3MUpi+XbEMCR4x/judIuXwxl/fPctfnV5gW/nN4gHwnRf8PrNAVP2mCZJ2P/m3Wst7gDptoJOAf/wZz/RXIMQs4wBbGPbVijSdbEk3VXMnwuqcncjMfndZkTvM/7ih8/wHx5/D24ouHtxQmXC8TCgzl7oUDryKBw1dlOKgT848HlQoUOx7Xgg1b9hRaWID6lRO8EV6L4TZJshfVxixDMDbPG9JsQE5HvC+QtxLDIDmNA9Etx7L/pBB0aZPonffsfjxye5pUDmmmAJGlfdW3YSuNBUQSm34KCpdxoc00H/Dwkkij6/iwJfC/LVyGj2Xg4i6pLrErNqpShv0YJo468alhwEVTwDXFi3zQAHxrtxj6d5gykHnKdOqopaXSwKS/STDeRWgSMTPtDOT+3kZzzhmivHknytR/u0altQ8RHrcAWV5R4Y9TZjuJ0EQ3/Rg3OT4VxFyu6q6oMq3WVSIR6CBWqWdKFVRey6WiFS/+HLMtbIfm7w0qsuMnAFJb3fjHi9ObYKGRHjkqLMJttUgdhdRK2TsgZZSmaX2XcqauKwFE1oqaTbB2rdbVMPvUgg1TZR4Tbn1BkMGEug39ZBX6vCg7wDKuB/m2Dab+vwtoR1Ca5QpCjwGx3dqt1i62qRJAIgEmhoqZo4SKGnqZOKv5Y9FYUXJl8qyBKlYl50ZmRRLh88g62Fw5LonnKHzDIs3YFRQegpI7FH5zLKys7tKycPf/RSnNFijInQmER96259UhVu/D6rvhNAdRFWsSLUFQ9xWxBvJsmltKrfx4zgq/CCq0MXCoaQkYjhg0jqW1DUurjaSWqwODOl9T35bbZgdk4LH9eq1zUCoSsYNjM+3z3j7XBEoIJIArF7HgcQMc7bgOIcykHsvA2JJ0uQVu9ve4hsgVbXuII0Nu0DRSawJ7jArZMlvFd5TVOeN+6rdZY+tVsuZeHbAuJ3S73u8FpyazxbBxCcwttWe0Q7xKL07RqKBloBFnvWRAQeiMLZbOJAAa3DKeux3L82MioaN4fB+wIXC7h2sDFhgo7xjW/4nvY4pAGbkLANc+vwyuVSU1Mmx6LQenEw8TCb+XwlsAO0wEJsabFzo26ApIhTO1X8ZRM8VP++MREPtAo8e+lG+01G12U4x3CuYtfP+Gx7xFgCzlMEw1/bLPHV2WkFXSv6VQ+wquw3v67CTJUAdq7ZtxRdhdslHRvpHt7fXPD5/oDbOOI+XvCdvxE+HAHz0AlXsY1TIoRPulYy25bhFDGD1bU0FA3xlWruupjpMloS8RvIL159r3WFxlm9f8qo03yV5BKz2nQnhfrzCASP2mlwalQU5YYDaJ3iBt1vWh8EG+lnSAnkAkoZVLp2jlAuMEVqQH2ecvdNRK1GoGyr+ghSZJR0zfohYbeZmqhaZcLz3CPmiPdxj8qEQx5wSEshJ1cRVrukgPPYCRS3KFKhCtfU7pslJrWDjNuxa1rZu63dIiC47FVDKcz3VTrOivThbUHcJgybGV/cHNrrTCmgCwVdyIiuYt9NuOSIx8MGtdDir0mKnLU4cEYr1Js2g+1D8mp/ZynimM9rVAFC8x9V0XBlYLhBUGdDzNiEhJtuxE2cZH27jYRTgzQObDYtSF7DKF1+XLpuZXAoUYpkYVbxNYaMDtfPVIMkuI3PuyogLN2zJXF2iRHOCTU4gR4rsoBMxK06oBZt+Cz+vKggkMvcztzqCV7F6IqOfZGEXPze8Ci0n+nOAVsIlLur8CePcNa9UADMdo80QR4lPrDiCKuAZOmBcldAswM/aSCgtuIVeQcw+j5h6BKe5p0IuRqSphA4OZRCOM5bHAH4rqDrE5gJuXgwVwwhw7sK1OuxkLUjXD5jAeCdCd1BYOchFOnyjk6UjpVPaujAMrBct6+oZ6GuNCRXx6C+gLzEH04L8V3IeK4OXDqAGSEU7AexpUuKqAPhdTziOQ96zhBcrHi1PeE493gGkLNfxpFWAneSWPYftdBy5JbQtrhKO8y+Wu4g5wJ3jP5uRAjCT+5CwU03oXMZ47lD913E/Nrh7u2D+IrDAFNzZifvEU+aP2m8JsVeal14E0A0vv6anskk18B6psaz2blohfRPRZ6nNJo8yBccUHfa5JmDCtuJgFy4iJhmma7ztt/1+PFwZRVlACAKhkNEU+EEtOulQVK8fjsLnFAraCqAr3AIsrmDB6MD96F1fv2YNWl1Gvw53eySkNToUDZex+vIja+9CgpYZ8sxaHLA5GBDz2sFUghgJjzNAxxVPExbHKceU/Y4nwbJSTRT5dHDG+9Qv4eLcPzqBDvDmtMytdhwYQQliueNGeMKwkbyt/b/tBO4WLovoE1GiHrIrmZlcSVU9qBYUXeQw312ICaUTQU2EFiyVt9aZ9egd4xWVVmPMZDqIy/84FVCaWIpplBdej0s9gmxy4heAv7BZ/QuY/AJ9/0FD+MWf/WwAfTwM2cexipcnkNR+J5rnDWDRRk0WXFyLdAvVmABlqTK2bgZkpE9VfgwFJ0EKpXh5or+Q20HSetwWYLxiTAOAFAXgS5qEPXJBlt3dVd7onW6nFsggZ8kDPJDzYAcFiidVUacHhpOul+sXY/SEeZb4c413qrB8bUiZuvCxSEljw+nLTqFugVXkdnh4ywKnGMRBeV3p53Ak6eAkh3qKaKb0ZAAVKVa66dVEYQXRysBtVbMdcYnqq2rrLUcrmbrsj/zraAq+tsJr25P8MTog3I5NeEecwBSQC4OH05blOKQUxDIpHYnUNH4lC5bRx+tu1TiAq0BCT/YkFZ2K1qX3y32VHqBbG42M26GCXdxxE0Y8TKcsPcjgqt4ngc8hwHTFFFcQO21GBG58XypsCQxWSCWVrRoXU2+DvIb5NWupTP/twSCi1qt2q12hpFkVJuNEVg/2BFoI4cttJnLfQfe9NLpnTJonADvwVWC/yb8RwyUFd2EWWZLlwLqonZwlaOI1TV630Tlrsa/qf4AEzX0AWsCUVQRP2/EbtKNcM2bP/Za0bZNXAjnY4/RdzieezjHeHFzxmdbxil3eH/crcZVEMZjBzoG6UYc6Yp3a5x+U8CX7cgtiTN4rxXW2rzXKlVw9oT5BqpaCvHnNyKuQ9uMfptAxA1CZoiiUhzmOaBWp3QBj8thAE/6hhocksLwzM79hKa42RA5hZv2he3VNsKnMBwI82YROBKBL0Z5mRE3CW93R3w2HPCmO+B1PCK4godpi8rAuBmQ2S/V/gAkVeUMl6pImhUs0q4p6YjAVJuYHhTyy5D1M4XztVhQq9kZ77ZoksyM2gWBCidabIMI3HdwtzdwOQIneUmaEsiQNs4BfbegbdiBtz14L8RON+uNrxUgQt1ElODgpoLhlFA7L93aKntaEGlRYpfg4C9FE2exE8pViq/7oOf+Avs1Mcy6YUy7fOXDcwo4wY4UsZlNl+CJcc4RjjbIGvXm6jGWgKkEnKYOUwrIsxdlWch1QGMidoT+I9A9LUVKpzENWDjBebvwvo2GAQKmF9SE+NhJQmRiUu5uFnEsJ/4u+tL8eNJxLgygVMKZCQ/njaCHsmgs2KMWwjwF1ELgjXLXLbmaJZFZw2/XwldNGMpgsbYNHKtirNBe+j7hs+0Bb4YjIlUEV/DT/QPcF4zHy4CPv75v3bK1+JYrMlaoFTuaajkUreevaAx5EPSVxD3ys1kRHlZEZiLM96FRHCQJAMoQmj1QkfgHzM3+BHXC4LyMhItPrk2zsFjTsb43q1DQsEwlqBEYX8ompSocbTmnV13aDHTPuo6rz1s6iO925mO00VMA/ySLn3eMvBPUFg8FORJK78B9bWgzAKq0v8B/RYOAgV4oQvvdiLf7Ix7GDd6/uwWIUe4ctv2McDfj+PsAzYrIUZvwo6x7DfLvy7d7AGjc4+klY3q1xHyUCcPf9ACL1k3tgXyfsXl5QSkOaQyoyYlGAgM3nz/j37z+Bv+weYm/O78FskM5dfhhjAhdRtcVvDvv8B/DVzjnDuGLM8b7CJ49/vLvvxD4dKgiePi+ayPjpCkm/q50QP5sVXRisf94kGLCfC9o1bKrQgHIhPnbHaahoL66oNaMqQtAAPpNwvg6wN/OiF4TSqUG+Ek6uE04DVq8KIS8kZFelj/UyJjvZL0AsYe0lw60ITqIgPENi7r5RvIFyoSgSJJ4Ut9iSuAz0P0g9m6ib4JqIR0XueiZ/NceP154ypJNADxElH0PVIFNmIIkOxJ4Z9TNrocFexE4oamC5tTgnWydgyBd4Bq9jAs6z1I9HWJLcKuTgN9ELUxh1roAVSvn7LnJgoeDE7GljsTJVyB3HjZPCwCOU4/zJPNvyyFKkKiJA+mYoHVXy48yh9CUeu0gLh1huhcnRWdJDAxeCrdAVOygsA1ZeoEacMfoX16wHWZRuS1O8qdYwNWhFhKV4lDhu4I8BriTl2TppoCU1wUAxYkjxCpZWSebfl7xboE2FLz0rlUd16rOJuddO+ni7rYzNl1C70X1sXcZuzBh4xPu/AVfdy/w1/6zFiwarzCMknTGp0kC3xcD0i6AiVtyy1WqltCAySUGpQqnYlQwfjfzwj3RkTXCjXKtWupn4VSFp0sLWji4pVsGoImnrR82KzdlsM6is1FAMGVlQycYlBOQ5Jd5ldg61MEg/nrNwUk3w6CgREvDplYVo1oVc1SFM92IEBKUo9Hk720mG+Qec5ZO9fE0wPmKvssIvuA0d/iBRGa/VEKuDqejQFYwiWJ4mGQIt41joGzjlq6XpwUX2n0svQT4LShateIF/qtiUh0DgeFuEmKf8fbuiJ/dPCC6gp2fUUH4OG8x5gjmDXLxGJPH+dQ3UTNUagrnUnyiq87zVSduJeSxhqw3eK4VI+z3ZveDcM1fbC/YdxPu4xl3/oIv4gM+D0/wqHi/2WPwCc9jjwuA0kcR5kpSGHIZAtXUJJdKBRkUH1YEEDuwRKTB8w16bjO+SZMCUiEhbZKSfQYNaMjUws0+dVY5nANtNjAlagBA36FuOwnOC4vwVFj0ENipb64MgqBnGiw0ZRlJZHSUWlVh3iLnVcFTx8O1MVqfiGuJIqhpKegIjV6Co/wyyWczbpGTTlfjiBcCHwMKAQURIODJMe76EU/jgKeHndRR+wLnBQrWffRws1SaW/HSOlZ1Ed8BgAoNPN2q8GBBflz8KSX19SqcUTZKl7nJ8JuCNy+f8Yvbj4p4EX7l14d7XFJAzr59jWNEzQ44BE2cIVD+TG2skBVbZSQHt9nTIOPPX8N8S6TG8WOWrkvZoH3eGoGblyfcb0Z8uX3Em+6In/Uf8GX8CEcVX/f3qEx43GUBVgX1r0G62D4JpMxN9ZrDrD7T6+xmExszzmF7Fgs8mLJ2JFaoGrP3lqQbF1dnMnsGWCkjTABvpKvCeXkNmmaAOvHN3oG9PAdKuSq3O9TBw18y/GGSzuycpCCz61B7j/hxhH84wHURbhxawV7Qa1KMFPG33K4PJPOkac6gKqNnGhqJtAPDAG8LNrcjcnZIhx4ohDIpl1Y/RtDOUXGEsUhyYGrLc/U4zD3mHGTsW/aokxcurM3sVCVjDgQ/emzeLwZixWcmwnzrUXrJX0gF7kTVVYSy5pe1+VwR3pHXf3F3wpvdEce5x2mO6IIkuYWd8CeTV6h9RUoyex2s3FvlQxIBXByyQvR5KOBIKHNoFAJLxq047xTRUrwUxtbFygUpILaKwOi6gm2X8NX2ET8dPiLVgMQed+GCn20e8I+XF/h//3ALVN9GDzYERzUxPGlcmBbDlWo2sxShquyNtCP4UWbpUgXSRvwfsjRKQMB062wJ2uvkjYephlMRwSnUKqMWdXY4zRW8qmb2jxCUiml0aAIaxqrnuGvULiYpwk2DPMcrQpE9oXaCDPSjnPvDQ5HZ0Zrcj3ce5y8WxAhBY28VuOuenIphSvLFg8Wm0rkgx6jFYdbiBnl5bS6ChKFJD7O+wvuK++0Ff3T3Pf6s/gQfHiU+v3TSXHl1f0T3quDpMuDwtAGPHt27AD/que7Fnw/febUD8cv5dcL2/oLx0qEeI+Kjx/3fVPiZ8eG/9UifFWxeXvDf/eRrfH+5wd9+/QZIDjQK+mfz04T/0/1f4D7+DN883GEeA/ipA82EdOPBu4RaCX9TX6PzBX/0+Q8AgD/7i59i+8uItGeklwU0E4b3qlKsMcgawZRe1iZsBWIMX3fYfs9ITBgjpLl1l9D1GfnbLTbfCXVz3kcQMaYS4F3FfjMBr4BNP6P3Wfi5jIbwiCdzBtCCpMThvAPqtooW0URAANJWYgCXpEOQdoxyY8VBQWrOrxX6fTvj5d0JNtppTgGHb7cIJ4f+gdA9SZd384PGPmq3eVBUQRBfUP+Z2eu/SCeXFNaDWXmhFZKsWGBlvjM4Fe+x4F8rmN6DoibExjeAa9UvpxX/2gU58KyDq4GcDd2WYJSa0uxCbud2MOiLLzwrCHytTh6lEo6XHil7TClIJX0WXuuaFO+0wEqVWoeojVjAdYBsVUeuWumCzCHMe70Wg+ap063O1GQhSpadJCTbLqEPF/Q+4zj3eDhvVMwpCBSmSpIChfmyTdOuQrZHFTn0pmq4XOpyK60p45aqXg2qLKuQN+EoXgsQ1E4CkZQ8nKvYhhmv+xMcuEFfJ5aqsgXh7eDxehBUQtlE6eT2XpxyJVTvNNGwtWeI+iWhbIMGB2JHpXNwTiX3CW3uJNUVfG4lhoNcNBGNKi5g/MUKrBPeZjdL4rvm1f4Gt/NqUantA0tgbVzKFRza9sgqoKNUG6yOo0CbS+9RdNZe66YHM2qWSER5rMxOYWly7zkwEgPkRfArBI9aaVE4J/l5tZnPow4bn0igSEWKOcZF5NU9NNhSGw8V0JxQg+VZYkAa8A+8HHihYrObse1nvBzOeNmdEEk6zlMNGHPEKXeYVFwiJS+JeIV0bxlwo1uNv1iJAa1sfg1dFptY3QOD8KpNmv1UFd9BFKEK60YUiEDdU9kBAJ7KVsWMZNRSyQ6BzdZJKtNuuVVWILQEmxgKDaQF4qj+cv0ZJDC+tj+qJHA9hYxLYRGowcEF/xs2SoZGyPkargzoLFy1de8FVaN0EVOAbqPflJIC72U+dPCAd0tHzC7aAYugF8mqG+yT0EQuFtijQ+2lGGhqyo1rZIIhNlLHWQKPdkg38SJdpmmM+OG4x2Xqmj/M+hw/UQsmrSgieSzBmagW0HhDJmhoHcp1p6j0dIXkER63BJlSXa/Y3I/Ybya82pxxE0dUdriU2CgxjiD70OBqmYDs4EcnPCeDiWU7f/S7JubN3qwjrgURh3UWiVYMtNcD7MzUwjAvvM6pBkw1YqwdphqRlbNv/OA2ziiplkKzb7spisZRKgfrPFnexra2pj5sMzhrR1fcXimQr/ay+euVbVuBmVZ7qsUh67nnQy/q91Z4tP20ijncsQK5qm2GpTjEWDq220E0E5RLTkxSdFFFZvmhval8hlodHHsJHlefb4kZxEGwkRqtGJ2pjQQBE1IhHN2AEORFhrAkuucU8XweJEaYghQCkxTnkUmS3Ar40bWEzLiidv6knVsKxrovmIT/nQdqiJcW/3QV3FXE2xmxy7gdRgw+IQwCRd6GGS+6Cy4l4sNpi5Q8SiGULIgFrrIvG9LLYNUk8YzM6ZX1EIi1niXdKqYBkEFw2lmUfWncc6UMREkW6lBBXYV3VeHfIlR3KAOmKmP0EjscUy8dtr6iBr/4cM3RqrdEFgs/mVbxFKnvN/8FiZ2mW+WVdmg+o43aY2pxkuxV2TMoABcGPCHvohTiGAjnCn8pwsnNS6u5RomjAIFwhxFABcY739ajNTkm9WHqD1InG6rq+tbImF4S8ghE5UnmjZPZ2ntS2LNwlnkl6NrGi+m5XAmNIlKz2KWgKoWa5HyRs2vy8BcnMfwutw5xnj1Oc4dDFp2Xus/SfQQwZ49xjuI/iwYbgZHuKvKWMLxzCCdZF1L7KCRji1xXsBtm5OwxU0ANjPGFoGTyTiDKpTh8f7nB0yjvDc/gmww4RqoO/9/DH+CHcY+hS/C+IvcivIrsUWaPkhzGcwcfKvK9wxAyaCiYXnmNo+XelkH9c78Uvog1n5gJKE54+k4g6fMNIe31jOkEJVOyB0dGuhE9H2lsVImh6oAxBdEziSu/mJzEiiS2YfPhawDKVuyWGHBnpx1X0hxgVWh0ssdoKPJ6oxPqhWoh5cnj4+Ne73VFTh7h5BCfSaHu8uUyo0RplNRO8i6LRcOZUT9psvyux7+MuvKcwNMEmmb4Ufgg1t2lUoU30AVUJcgbDNSegwbDpCXAz9qBzBVUiwT4O5tbgyW5Xamg1khIG0IZCOlWBBtM1lveUIIfCWYI3ji0M5BZxH0uk8MlsDjXovDetPzNOkhed7YkELNAbbU2BNncLKNdpqiQO50DFo/y2mVgFUKo4L0E/V2fEWPB6/0Jd90Ff3r3Df4327/Hn49f4v/+7R/jNHd4rgTAC4chyQHMceFicgbo4qUTlwjOEnZaxTsG8dGAfOGviMFaN8IqlOygRQQhlfNWCDrzsUMtDp9/ecCf7L7G9+kOD3kriUDe4JD7VihoSX3UGV/BoXSdBAFNTXV9kbK5wjHBXTLmVwPGl2FZa1IhClogQzWKAJlBg6gsBw0xSzXfOcjwR00qU5Egfw0/BiT4yauIROcssiW96+cxtyTZVGaJeelirbvFV/xQBkiCIyoMf5yka3y/Q9lGSW43DqVzbdRE2bAUQ4Ic2E45IgAwlw4oMu7DnzUQ7bWi2gekUCWZnSQB5k46wv4kwVC4yIHlp4UH4tOSRFnnKu/EpngUm2uJ4WpeYY3cbAtOnDF2Gb4ruL89YxMT3m4PuIkTvhwe8bP+AxJ7nGuHp7zFIUlhZ84BOTvMYwSdPVBM1VxEprw5SRMv5FWw4dCgy8J/I/UJS7Ji9II8ABwIaSe2nvcVYZfQ9TrrrnpcSkTvOjyPAwreSDJQgsAELxF8DrIufkmcTSXeUC7FSaAj40IIZeOV52L8bfsdpBvvBQ5qcDhn8H2D6hWCY1lnIoCKQ91E4esmLUaqAj6lDB4n8Pq0YAZdZjQl2i6C4+K7/cNZ+ItOkgbuIvh2gxoWdII/z6DzpCOzVFNhBdUXcSLpYsCjQaCb+FaU4CkPhOl+4W4DkgD4vsD7il45WafkZEQZS5JBddEigAWXDx0ejjLLgDTJNVEpC5jFn2virJQXTNK1Mp7tenxKd5DflYimJJtusIzFcBA12b3Y+eu7E7Yx4Y/uv8eb7ghPFQ6M5zzgkHvMJYgCp1f+4eRBs2siWOG8wLYE3kjt2g1GaOglWSxNyqP+N1NLzKkCJRDmm9XkAQLmO0Z5leC6InPg54hD6hGoYu8nRMr4mHe45Ii5eEVRQAVGdA8qDFO0EkRciBjwYxFV4uBQ+iDIq6272oeSkMjaW5Ji/DOXBS3lMiOcqo4P0n1CQCsoOmqQZ9NhEF+++PN8NwBxaPQnQVeoSnJhbP/xGfR4AO82qDfSpc1q327KcMeM2gXkt/t2/gh0MIMKowwBeSvFWuuah5Mq/Gvyz07G61Tlojd+pmctUkKU7qvEIYbMMXV7dh7pHDB7xrjvEFbifPMUUR+7liATADe5FQRSgvfuCYq2UA6mQ7OH+VYK7v0jEKyro0lv3i2+3c2EdFcQ7mfsdyP+15/9Gjs/I7FDZYeX3Qmv4wE3bsTn8Qkf8h6/Pt1hnCOmS0QdrRqq15okuY1Hgj9TuyaD4zexTP1KN3Tl5w1S3YroEUg7iQPLwG0MU9wJvWrbzxhCxlQDHtIW7+Y9HpXCc8kRYw4IXUG+JeQnh84UpguLUjBkL8ZTRbiwxJ8qhtl4uloYs72ZN4Tx5XK9bvXZGm3F/k5pEGnnRKxHjmnkndjs5t2M7sNF/PbxDLcSEsxbiGjbBAxPFZvvZ0yvIt79m4C8NYFCgX13z6KLYs2h+Y3Q5PgUEA4eZcM4vc6gyaF7cvATY3zhcHktSeD8qojY47iMRrIOYDhDqVSEUoC6AcgzMBHc2bdityOg7xOiL/j41KN7cJjvGLc/f0QXCr7/9h44BDz2G3w93AMAPvvJI1JxOJwGjJcO/NghPDvUDYPvMlxXsH91ErHBjy+x/64gbUhGLUajDQp89+d3H/H3/Arvjx3KvuL594V2k+8z3DajZI+///5VK+65ruDLt494vTniHx5f4v/x5/8a/SbhZy8fcNON+OPbb3HnL/i//MP/Fh/+/gX8WURXawd8/7OAuJ2xv7tg++YZh0uP87P4pOmlIvNezhh2M8ZjD3qIkjMcJIhNNxWsVMHzl4KMC68v8J4xnTqUkweGgvRVQhwy3tweAQCPlwEpCR2tTh5zFIFYAKBJeNfsGWkPdAdCeGCUATjfSp7SPTp0T4tPTntC/kJylvzo4UcZPbS7GXE+9gjfRrhMmF5JU8N/jIgHh9Iz5rsCSg7bbwj9E7d43hXp5s57h+f/RvSIul9HbN4RumfG9l1GnhZY/j/1+JdJctePpmyomb1zrUslHU3zREul50rlpCWxJCNjHCRZc7R0wezPWqAtowyKQn8aTwqfvP6nyaf9s4qjZg9UcgKRML6TBo6oFlBi4bXmT16LrMp+nZy1y7BgV9U0yQNFA/Qm9NFJRcmHgt1mQhcKNiGh8wU9ZXQqchNVYl26uJCE3Gb+MkDG8yEdbzRfV8XXh4LBpku3SkBpOXQXcaZV0qKCKSLwo9VH7QpWSJerghpHSP4th5fxx6xjUqKOEYJAUxYxiXWGq/fRuqE2J0srz0zLtVmhQRJ36WBIdV9fR7tJHCUTuIIp/66urPEc/6nHJ6/ROLdaAb9SouXV37C+Nq+uw4I2J9wDUdpekoGqyAVdXPkTt9xUZjSboCLFjQqFODKjklQXBXavwTNrl0LHYTlVT3bzEjgsxRCVkKdlzUtHWvFFg0fVjlsybNAgqfRV+ChzSXfdjG2cheMaR9z4EQPNqNwjaRepVBGcSklhbrOomtvAefmuCexqr8pirP69ehisakEVLIm7iaBVFfPisAhM2Hav7IRfxh5TDZhrQGaHwg5cBMK0UBfWtkkCcNGqKFZQ0kVkiq9s4Wo/KqKiTYvQ4p2zaLbZjvoi56QY41c+wJLdUlqhBoD8zGgCa9M2370SxLoarWLvCfH5tOKiX3WdP0VHtJ+jvVYrXtLSLcJ6/ar+zni1dUkEzGfbPEyusg7EkITM/GM1e6EF6rvqxLSl1C1VDTa+8jOGVmgzTBVOVj2UFw9wV5tIyt0g9v0qStCf2CPVgODqMtqrOsxZaClIJJCwpIlNls/FBDjo/00bomDp4mrjntfnLpmdG3oKrRAl3EX9u8hwLVmSv8/VI7PDuXY41AGn3GMqQRROCzWY+PrMJSvmmP1C7drQK/bd/AfLf6rXpNwZYgGia1kh8Nqif2Rn/Bqh41b396plzcuX/aghJfT3Souha7Nfnu8/QU9UtdcrRMVv+TtLaFleoyqHgDShtmuoq6StIQGsk8tY0Als95taZwueUF1A6pzQlrzw+pCX/W7QdD9rLJPXe4CvYPdmE6yFD/vZshba8Tckl8J+QyzoY8ZNGLH3E85VBDu3btZ5vYxT7XGow/XeNbqEjj2kpAX5iRQuq4ktL9fd/Kmag92TZuvmJ73ZNrfYi6Oo9gvcu6D3BdGV5subX68elxQxZ79w2lcJ96cjTMRXSKdgzYcH0DRNWhyzKrzCqQkGpbQUhq/L/miNE/OFa3tTIUJKBU0rZG3ntJxnRRFARnO5eqnVfV/OEG6jZVpzx65HGxQy1YGlI2xdyE6ea5MJ5J4JMqGhmezeQ2MCL7TBWkT13ztePq9uysokVLtEyGPEx/NGhKd0nGfJHjW5Jb7M8nx2ro1DbH6KoBRHSQ6rwvGPqceYgqAedD45q202RpOO8LGxc95VDD5LPF4IpRCy2tDWzbjzZwRflrUzu50cEkXEKIZEBFUs5nb+cyXkLCgHAhpKzXi6JVisKddogoV2g8mb6nNtVAbgOswt2eFx2uAwCbTaBHQtL7CYRFTvl5jGmf9IAM8yxjHw4s+z7hv2QGXWwrOi7RJAqpsD6NnZY4ndltsuomdDBii2nKtGaqMu/2uPH53kUilAiCC3kcr90Al/5XSRDRc8EIMofaYJ6zEUZSvcWpcyaEoCedvQcmA54WsZvKl0Yh3GjSq9JLdpI50t9gtfzU8AsUPpGLW3FrpulgBg4Hb4ugJ0j2KBMtycW6Bvi90COUhVM5x13MlWYILC2VoEUsyJEWNRA1THWzqA9wUMYL7RhXRi4KbcercZ8d+9/hU2PuFSIqYa8CHt8P85/QHezTcN2pbnAD4HgWpOJj6ihqMbIJylxV96EbNyMPVQuZ6sPKrphaq3nbgdGMZ/ZeW3TK90mLs6PfZLIAOIo/rH0wsUJpxyj3OOCK6icwVP8wb+2aN7FL6BH1k5P6QqbtQqOC4z3MwIYxFoci+J3nwbQVWq5MRA7gjzvTqrQQ6xpng9SXWyOVdeEoWyCcBnd1irZwpUPkhnoNQGp5RfroL7TxIDIgL3UTi7BncOwjeXhEYOHgveW2AFDbYMsqrraAlGvhsAIqR9QNm4FWoBLcjzI4HhUfYE7qo42VE6iP5ZqmoWyDvLiEDoP0p3SLjVynt5lp9F7VC5xFplZlHU071jTsxlbiqYHIB5t07kVBX8pgBeFCzJofFn45CwGRL2w4Sf7J6wCzN+sXmPu3DGzk3oqOAjR/z1+S2e5gGnuRMY0VOP8BjgNbkVtUFciYFcPSoax5W1cNaufyVEZYe8UR2mFxIM1ciAB9w+YdMn9DFj300YfIajisQel9LhUiLGEnBMPQ5TL+J0F92HEahFoXJE8BtqQhJM0j30aueGQkDnFgV2L9eYttQgsQKz0sMmiz+SJEH8kancGNeVLI2iKiqvuQA5i0jJauQEpaQdWIm8SBNhdxxhI1ZqF3E19s3QCZYYB4e6G8DRoeyECuCSdo9NTZdZ98eSeDX7Dosd+Vm+p0GqyQBQDxHVC+wTAOgQEM4OlHAFUweWhNSct8HmhFeIVXHEkAptw7eAtIal8CYwWtkHs5NuwHQPTK+LIIYGnVGuHTURtcm43Yz4w9t3uA9nfNk/4MZdcKgbHNkhUsHGJ8zV4+G4xXjuQB879E/uSrk/nEUIMG2Fo+wmtBEMi0I5qUI94DxfCQhZl6Ypm3voeYcmJlKHKrGlW9Q45+pxSD0uJeLXdI/vLzf4/ukG8xRAp6AKvcu624g8U7Y3FXhZ/yXkIF6eZ/DqGmXMy5VIkCbhflaYeAKoOPhI4AshAKjeofQOVBnxkJqPJWaJPS4TqCwdLpcr3JQkfiF5DePSAhARq9d3YuNEzX/IH2uS7SQmafBppVWhVunoVkbeCMWEnXTi7HMDaBDaqvBEU26FnqkWtJu4mB9JOdniwwyqDibQB3ntdFeR7jOQHHyS31uBMpwI4Syopu5Z7Hveqb1kWS+D9sLp2UIyhmZ6iQWeGBn5TniBtClwoWKIBUOXMISMzB4FDq/jEb065mMZ8O18hz97+AnGHPB03kjwPnr4k6CLWMe+9e9dU2ttiaQWb2ydrDBlPtQpB1x4r4DN0RbRJG6ND+4YtMkYtjPudhfsuxmfbQ6S5IIaBPY2jnhX9ng6bWSaxSkCyodPN0u8hwpdZ/HV8963GNBl7aKycvM3i8CnTwYPlq546aW7i9ey7v3HFboIQqsjRVEBgEsVm/dZhHrOCaZzg6Ff0Av6uLyVpsr46DDd96ACbL+V+2/CYdM94/y5+sBZ3peyQ70ssaWbCDiKLZYIXF44nL9glJ+OQq2YPNgzxq+S+E5FQtYHh3CS2Hq+E/FGVEJ9jqBtweaLo5ztBymKpE78jhsyppfS5X34sAeYEB6DjNYaOzz/8Ep5xWKndMMgVZPON7JW7uhB7HH+GEEVGLIIa803hOmlwnh/esS+n/H4uMOf/+VXcGeH/rB0NNgx5o1D1ZnAMRbMYwA9CX3y8X6DXZxx089wbw6Ys8evP97hh7jHXTfibb+DJwZuEsqekN8ASA7xfYCfA8a7iPNuC8QK3xeUqui7CXDve7jcI0RBTrpM8BctjEUCqlsQlp4wjxE+VIQ+g4aMUhxqdsjZYcxBJlWo8OiFgOQY6RLxj3/+OdxM6J8lVhQNDEFqnr8QxNDd38j7HH4PGD+rGL532H1bpfNLcdEFcZJzTN/swLEifzmBs8PurzoMHxjzrUCrawR4m0GOcbiRZmj/TcTme2rxZt4QaJex204YsVFNI+DxVUCe/3np679MJ9cJzIWVu0XMkgisOlpUinYJpCKxnvUF6AHxSZcW+rw1JFn+BoBCm2pYSP9W7bcunpuhlVQo5h+tMmRdNnYskE4VYipV3sfPS3K6ruCDJGjojoy0k5slFyVfVuG3hxmg/c66WS4WkANs7qc8eZEh33cTfj58wNZN+Hp+iec8YKoRl7nDcxoaL5ANUp2XQ8jrWe50bVtCueqeWyBiY4rsui05dBki9mRFJT2/y1Zw9QYp+o3qIoBT6vAwbzGWiCkHUW4LM6YswiluXipANbIKHxDqtAhfmVhJ6yi1CiKhuiUIEvigbJi8XfjBAC0VXwugTcSKJHDF4MURpiUJbVzbTyr/yw3V318hErQw431LaBtUWTu58lx9aVoCncYt1877mkMmcHFR010H2lbgNz6UyxB14SodAyRSGO918AmGCHVVsQk3Q2BnblGNdFkCZzejCXeJDVvpl1rwv+56CL9H95juh9pX0CbDBUY/zHCOhedeHLquYKNB0S7MuA0X3PgR9/7cXnOqEU/zgEMaMGfhD9PsZIyBdSOKBv9pCfTtfoud233SPa9r92kVuymHa0Wx7GUMBnSoewgFMZQ2iy9ohlxZqrZz9Q2unIprHXRLQAzhIR0FWkScSK7RZh5aR1TUPzXwb8rm+hoa9DfhOlr5Fi2kQbmB1gUGLagY45Zz+75aDCvetLI1ICOFslzXphP+oXZoG0LBtgcraqKJBqqfZ9IEUxPcqjBiK/BcJbpLJ6Rx39xStHOTkwJE0qKnCmDYWCvpjuufhyVZsm6EwdUFHii2YyNcTOiOymIkvNq3jX/rxO8Qq3r/TYYLFaEriz8HEEJF9DLu6j6ccRcu2LkJg0s41x5FK/6mXZDmAL54hFH8uClNuqwjOqqsA/ulkMck9EWp2Kq9MUSLwGDsVYXHvdr4xj6Ldrh0TAhilc9PaKNqSnWYa8BY5Mw5TH2DunlNRH43952X87spc9u9tfFRtNq3ZudoAb3BZwHAB+P9q3CWpzZj91OeevO7RjVZc88rg0oBrSBv5AicPJYZzxFt/Baw2IOeEwuPXK/VumSq7+BShbO517TqkmEVl+jrLigpdaysBblKcIpScIlU/IWauqn5d4O61o5Qdup/qomLSXwgY14Y4SyjO+TsDChh2We2Z0Cyh4ikCFq3FXUmeOfkjN0n+CiUgeCF02rfZXkJvUu4cSPOtcfEHk9pg++fb5B01rMpuVIi6YIBQF04d2t7MjuwqRTq0pbmYlXhzKqFHkDRadxiBxAAnUEdQ8E2JmxCwi5M8MQ45g65eqEMaGc3J+FRQhFPrOtBKmJGbHHKcvaYbomIZPLC3Q3Q+yIfyhfZf1nVla0rzkSIcUFtAADSEotB97Q/54VeZabuHdjk6W3dBkbdZ6Qa4CcpIGzeqejVjoSbGoC6F+ioy+rwCn4DeSeoMECUuWWCx2Y3Yxojsip3+12G80UaMLNMDmj23cvMVj4HuNmBdxm32xHnqcP8KHS2ato3npGHKjd5Em2cJXbU5yShUplODEBNyBJaGLJGk+2HvNECyI5RdwVf3D/jJk54+HAj83BNsdv8fZD9Z93UEApmCnCz7P85+ybmdDuMeB4HHA8DSvZ4mLbY+CSuOUo3NcSCaYzwU0Q8Siya4VE3JGOJLH9JhHiQeCztaYnTVqgG85Nk/r6IX4pBZk+PY1SEnozL8054z94B3lfhxCdC/6BF4jUCjgCOQI6MUAndoSKMFYffi6ibAvau7bnueYmdqpdrDycg7wmb3YScPfzUYXioKL2XYkcQpECIBcPmAk+Mw9O9avQscQ/pOQTIZ85bEVzN12PPf+fjx6srey/wNO1g0XmS6r8msyLuk+zUlEApejHKTkR0qASYFHq67VrghypdWBOisA1v3Fe7ua6wzF8yiJMDsl+SCYP3uJmUG7TAeERwSKuDq+q+PVqADzQFRIPZSoBtT1yCH0CdhnaO015+n3csgf8+4+72IiNRdPjzdpjRxyyCNlWgMu/THlvfYdKs+VQ6nHKHd5c9vn73AiU7YBZxFzc7hKNUaocHfd+dOFvKWtE/SZezQe36JcGlAsQRTfzGoCYWdBgszwJM7IXrEEJpgdy2n6WAVx2+O93iMPa4TLGNEJhGGUOSd2gjXKiIkzKYApNUQfNA8DPpaBVu/FzWQyBtRTFONpS9nmxwg9nagVeDBkW6UeNROsV+FGVPd56Fr6vQTgCKSFi6tczc+Ik0OxDrDlNIpoivTWozCvHpggowrIIvK9QYHNO46AaHa3x1SW6bim6VAEbUw9HgwGajfiSUhwin/5YkUO19QlPqa3+jNu4mIBZoEMSNGyQCX7LH2AFp61qg1uBgTu5T3ohtpDuVrd9kCSR8lZmfJHNuHTGGmFEZ2HUJt/2IQLWJ7nzvE861w8e8w8d5h3fjHn//8BJzChgfBtDsEB8dgirgWqW/8bTykvwzKSfShIC0o1s9ARFYQ8asM1d0dmLt9TCOUhENseB2O+Ll5oygwmqBqlRnATzNA3443+A8RxxPA/LsBfbDi49aJ15FfZTLUKggIW/9KmDm1sk0Fe3SoQVDZZBExw5tYAn+2VMr6ltQ0kIeK6TYf0MA9ju4EoDVgUFVOP1N1Mc5sX3dG9KxquKCnQP3og5a9bvN6GXCYs9q79a9hcE1aeXPIetlhUubLSsV4qV4Z/uozMKxjUcnY3Py2ibUZ3cLrcECd0MnSCFH/PtaefgqqY2rxHDQQHu3qIJzEF+4v7ugCxkvtxd4qk3Z1h6VCR/SDufaYawRg0v4u8tr/Or0AufU4eG8wTQHlA99E+EIZwncw0U/07wkhbYWprjtmu0vAbgV89JW1rUMK6E6NvvSz/FyxrBJ2A4TboepzTi3Waxl3CAXh1IdLmNEPUaBlar4lajcylraLE6wl3Pc7J8EfWX+DYQ2dsW6y6Wnq0kDwKrDCS3wsOwhu1lmc92j+HE353ZmS4G9gsfxak6um4v4DNssQEtKUAjcCZqBVyJvLqva8IsONRLCqaB7SiiDx3Qf5Izf+muaDUTHwO7FNW1h+TcVcVPdg0c9OdHmuM1LoJ5w1dl0RA2RYIV0QbUQqHrlpaNxIq3QnnWk21R8gyIDahseSLfA9EovpkgA5V7NuNktmy+4itthgncV0UlXqP2OKp7T0Hz6k9/iWHqcco+HaYvoZTbp+HGAuzjESVV7tUvo0kpXwZZxVfh2WdyoUQVsz7MDLq/d1fNbkmL0gciI+xn77YRXuzO+2D4BgF6rw+O8wVQCss7O/njeIJ8DkEWMxxI9Z3NEPaG24viSlBNzQxYZBUyQanL+JO2e5yYuxO1cdtqdTnsdczfLnjK7ocKIz0mU+RWiLA0jJ/ZbLAvS+3EB6EAoKaJ7Ej6jH2XOKBjKvyTh+38bW/G4RuDwCwJtEvjgpZimKJsSFh9CFTg9bADHcLuEmh3qhw5IBJ+WRsPxZ1WS0F6UlFnvE2eHw2XANEa4kySy8zbi7Cvy5OEmtxRgqsSExMIXT/cF/uxQPzhFHFTwUEEXD39wqD0jvxBRKIP9u6Og22onqBXEilQ8Zu/x+s0zzrcdpjFiugSxf1NkHypcqHBeRi92fcb4Soyxnjv8cn6Ju5sLXm1PAuY7B1QHfHe6wVw93j3uUR96QXStC1YOzeZBDjkEoFJr2OQNYTL0hsH2sdAlQybMd4z8UtVws0MBsL+f8Hp7wvMw4DD26ELBrpsxFY/3727BlyBjSfsMeOH18gbILzOoK+BRlNiFYy3n3/FLD6oe08sKt8uY7z0OX/oFccCLH6tu8d+7QagK3//hgMsbj7wv4H2RfTo7pELwoYKDOTexwf5QESZC+i8bnLYDtt/LSNBwBkBLt/e/9vjxndwoWRITS6A/6+42JcNaReAkeMCHptLZxB6CBPNUA8rgBdJDEqRQZaStKMmuK/pZhVfCZane+dEWWo2ht4xYk6m6jM0xsSgAjUOYtgA5gSL7SRViVRBjgUJqN1T3jCvcKj4AGpTTkkiBhLE6MQbtM7o+Y7eZ8GZ3wlQCflDc+t1mxH1/wdM84HnsUarDc94Ib0s94KVEPE0bfDxtUT72EsyoyJSfRfK7e2Zsv5eiwvjSN0gUExAnwE8VpSNc3toYBohRzeKE2S0HnvARtXMg8aTAlRiI2xkvbs7wxAg6yP3nu49I7PC/fPwCh7GXUTSnlYlVgveMsgGKdSpmIF4sEJZgOCvkXIICbhDm9eGVB5nfZ/eeassfFWpr90CSzKKBlp8IERLIuzGBUoF7PksxZtOD+67ZNbsVEQmQOdAb+T1N82LnRALRzwVXnLNaQZ/OywWuOldVZwLXNedLk9E8CMzez7wkQ5tVEaJ1u0SVzuDq4awJvkIS3QzEgyXPGvx2UMQCAzpXMyqscS0aAZaOoqn9NT5LpCtZ+9oBvM8IfcGr+yPuhwsKO+ner9AKxj/cxQl33Yik8xzn6tGnHS4l4pfnl/j2dIvj2MsIgMkjfAzS3bro/V7NLjUfcHWvNKgsGzSEQuuqdksBzNZCkkcWIa9O4NU+VNzsLy0hf9mL+oonFuVwNchDGvB43mAcI8pjp/OENQhtHS00zqSNP7EZojVQE6ex4FwE1CSYz8NCgzDEAkdJ0ijLvrLgv7aDUF6jdc6Mr2gZb5XklYZBuH5Y/fy38Bcl6CdJcIsonCMXUAwiGkiKONBCoFOhtcZJJgh30OZJaiLbOGqQZMAG3JdusTGDQfmyEv4jLeYwFmijFg0a5QKK8mgFOxEVsiDa5oB/OvatPWgRlMobIN3qbM2hAg7wNwl9n7DpZ9xvRuzijJ9tH+Co4h9PL/E0DzIqRYPmh3mLi0+Ya0Cggr87vMavH+4wzwHluQMlQvfg4EeFlV6EJtAda6ONANrVdSwjxLbUfmZXLjB3NE5rGejKzi0gkZ/J57m5veDN/oRXwwlv+yOmGvCUBpxzh4+nLS5TRC3CfaujV3VN5TPr2epHbpQhUllxV0hE/7IF8gsqS85JUpi1XKcVmlqSy1poCGobbXyE9fAk2eieGeF5bIgwK6hIxFXB03yV5NKcNSgTpX44J3aQS0NY1KjzT5U6EI4J8A7zrce8I+wTw/9wAtMgo8IiNWE942yGiRGP5lClNLTmkjZusCZQXRLnNbJDupG97SYNgtfFMkUjrJNcKoxwojYqpUFblRPZbFkLxrK35XvRIk66YdCLWa5N0QxvXj7ji90z9nHCfby04oe4C9HeKCz6G1MNOOcIqSQCXck4pAHPacBUAmIomFJAfPKIT8t5ZzSrBnNfFSHX30lFdvMgdkEM0CjJ13wLhUqicXmhyDlLaCzB/WxzwFfDI46lxw/TDcYc8TwNGHOQGb7FY7x0oNFrN1PuhRRG9OxwkHPccUO9ucJABgILNz9t3QItT8C8Fwh17UzYy5AWC5pK6FRALUCogDO6Fcne9qfpCvnIUeJpKI+V3dLJDSPgjqQdT4F0+xnwlyJiaKNHjUD/VDF8VMqM+pXjzwHfZ1TqtOEAJB37tyDJCO4poG4r+psJ8xQRHmXeuBVhxjcM/smIoHazVl5GJukCjwHdRdZgGj3mGIFZR3WWlY1rYyTvKnafnXA+9piTit3eSPxRLiKeNHeM7m5CjAXeSRf1ebtBOgU9ExkuVBTtcv7B/XvcxBEfph1+ON9gLh5Ppw1KIXCV0977Cucqhi4B98JnTYcOnBxOseCLm2dBLY1yD55OMvs5HXrEJwc/i2+3M8waTMt4I4F886aI9m0Vf0DKUScvtiDNIUn0xjeM/ZsT5jlgfhgAOLwYLvj5/iM+dls8xC0AwLuKVAehwjw6jJ8B0CRXqCqML3/6AW+3B/z1hzc4Pm6AcwBGAgfG5TPNbe4yhj5jvA0Y30is0x3Q7ndDgaj/2HUzdnFG+ZnD+EXAzgmS4nAeMH7YABkog2sxIqs/iMeCCMBl30Q7AYlTbXb9P+fxLyY8RarYKf8hSX6JRNzHpPc1GDJImkRlOg9yF2Bqg4AGhIw2T8+6EC0o4iWZlMBJn8YAynJoUAVIR0Q0nqlV5DK3TdPk89ewQIPFVAuKAOLa/r8+rCR4WAIOjmiCNTa3NOjQ8dthwmfbZ+Tq24D0mzhhCAmH1KNWh3OK+LvjK3SuYAgJDox3l70EHBdVTayAuxCoaidjFkc4qzS9GUtTFjaYr1sS9xr1tmlXzmaC2tpaBYmhh8WGwVE6dFGl9zsn6mwmNJWKzHckx6C+ioz45BpHowmlrDiR7d7hkyRLP4clCZXcUgm3wq12akxRVwJotZVVzLrAOjRhNmGcvhOYntPRJ4Da5rKJSIMg6ExQ+OUgWaMUWmLhPdgL9K29vXWzDJLpl1moBkNdZm4uKqPiCGWMk8yAVhsrtvfWh44WchWSDKBBeS2wByTQaQes7ofW5SNcJY3rvWOd9JbgboTXwj0j9CKws4kJ2yBFgJuI1hUCRNghVRH3mIoINZ2zFA4CVVx8xMO0xbNWd/kSZKi7Kj1b8E+rjlw8y8y/outjNmSjjshEm2zuqsLxqtpQ7a2oxSoYxMLA8BUb5eDu44TeFTgyOJ7DY9oIX3HqZaSRwbx0zWSsy3JIL+NUzB604wU0nQELXGzuqo3AYK9r72ykjQaqBk9VqNZafM0oHaJiX2HzbNujVnDO4LpSKfSqfqxrRpB/UyoiZGPCJpXbtS7cRxUrYvyGSKAVf2zEm6nogpZuEmuxpXV2zaZ52duNf6S+GgD8RQPjlX9vvGuF4Jv4zKcwe7tX7XDGih+qVI4FOaGd266CAiPEjD5mDDGj9xmBio6QEqGmUh3m4jEmEU47RlFQPucOjhiPl42oy2rn361E4NyqcyfnCreAyGbKVp0UYPZDrDauyaONBwEsgdcvtfXSQSCKfcHNMGEXZ+zCjI2f4agiq4PtY0ZhEuXS7IDs2tzPloj6pWu1LCxat1Bg1m6p+KtvbUKNANqonNX+gP1InZOd8yzgL7BxSR1QhwgqdRlf+E89FK5shRr24sNr3y08808fmhSHSwWUe5JvB+SdhFFU5awF9D54iM9WlX7z3UY3kMkCWGx9FZv4mZDPQbvl8jvz61hBFNu8e31Plxk02xov90GewKKwrYUgAK3r3uzcMWp2IFV4Js+IrqLzwht/EQW6VljGp3073uKYemT2orbNhKkE6eLOm6baCgDnFPF03CCNAd1sSJYlFmjJrd0i9dMuybq2MWxFCyQag823y2cUP6sc1y0j3xQgMPwuIcaCt/sj3m4O+GJ4xhfdE57KBpfSwYHxSBsAgHMVEcBI3BJcStQS29qLhkXplpqhIRWqpxZftAKj+ipWu7WimyXy4tsZTlF2Vlh2+nl8kvvl1BeUfY8rYUCD1DuJp6/oI5kX2kO2PcoogyAOijYy8kbmIVNRzvBMiM+EqRvQXZaiiLwfEFSZPm8VdVQhit7JqYDW6vkElOcOpauI2xkuMCZEFUrVLnioSHtpToSnADwEuEE0PSgRgnJky6B12E4ElkKXke6CxJWngHIKcl17nQHNMtpyLBFcCPUSZEROVKRWV/Bmc8Jtd8FYIr6/3OKUO8xFRqQNnUxTOJ974cf3jF2XMBcZMyqdEwZXRpoDvn66kzF12wIUwvhug6lu0T0J0pI9MN/I/WozzhWFAWg8GAjVFy1aSHLHHaMEOR/CSbrb8wul/ETG8WELFwt2b0/oY8JdL8Hf6+6Et/0Bp9zj+/FGwoKbjJkCaFsQY0EtXmbrRumwjyWK8GEV4UNRc7a8CEASAVBKrmlglH45C1pjkQF/dnh/3OHUdU3A7Tx2KNmjTHLugQnpoUcigAJw/oJV+Toua8NSGCqREC6M/lCR5086G7/j8c9OcqdpwjQtldDn52c1YC031Lp87yLqbiMCJJ0Hr0exWPVSIZguVZSNV3gqo39MQAXKxqN6GUfgLxU1OukwaqveDrwapQtSBjGW7sBwFShZHIof//+8/UuvLkuSHYgtc/eI+B577/O6j7yZVVlVJFUkGyRUogRBDQkQNBagH8MZhxxxoLl+gACNBY016YKkBkhQaFHdJJtFJquy8nWf556z9/4eEeHu1oNl5h7fvlnFamSDAZx7zt37e0T4w9xs2bJlLsrSjaZv2HQBhlO1Xowbx6a1sOkLMK6K8WNBXCryPrIg2tDMbfbTM8VlD1SvX50KQlTcHa+4mxb89P49/tHDXyJCsWpEgeDr5QGnMuHDvEeuAfMl4cPjARDFq7srjuOCrz7e4/phR4U5+zM8EqUbH0nZLgNw/jwC1VC7VTF9nzE8rVhejzh/lijicWVGI++J7tYIlDufHxvfsaN2GoC6V4yfnjGOGQ+7GUMsmGLGLlL9eTUkd14T1iUhxorhWHB9HhHfp0axkEoEKi783ry/PbCDUU/FRILovHpg6oHgxqG3A31YeVB6YXvIPcvrdC3Op7edMLrw/Q5QRbis0MsZxYqRct1wOF2IZzXvILlnbk5NYp0ig4TItb9LzUj5XukZLcvgDsGcnp7Z8B6EnvHzw7CaKBIqM1Veg7Wtz/TgT4piODGodUpxNKEaHsLMurngjh/QCiBuDlBnLkRDmH0P5R0PknyswOsVMVU83J+xHzLe7U54M15wTDNepQsCFFEo0vTvnj/Hd9djq2O9FiLoCmAuCUkqvn66w8mauKePEWEBxg8MboezUkgHtmZWxfj9gpAr5rcTlhQ3dUvmIEI7VbMFi6whRrDMkffTjgoZKmLiAfDJ/oTP94+YQsYUejB4KSP+49M7PM0THk87rJehZT4ArnMXxvLeqzUCAULWC9DmO2T2MGT2fpPhim7j0IPw2PdHq3NKnONo9itkW3KmplyHQGLNWi2QUNS6olyv0MsZuXbej8bY2QmwQ00VWFYGstv2b85SULUMaaEwTuL6fnmxno2lBl7+oLG3CKrPxsiJfT/wjVy7TqNvAJ37GFcDCTyQE6NCq6O+2muiw4bqavfkGXQyQHv5ShnFGtBzrdRE58pbjxx3Cw7DisOw4PXIDNdcEiro6C8l4jyPuF5GzKm0fpxrYU/2Dx+O0I8j6WrXXjcZLSs6nLWBAGKZf8CetbJmtljddzKmS57sGSeWyWjoWhRuA8tOqa0wVdy/O+Ewrvji+Ig34wUP6YK7OGMKuQliPe52iKEyyJ0DA3Kz1a5m7S2InGLp5yLniePtbARSNz3wlR7MmJCd11o6y8jttsqGnZK5j8Laa3TXhxGhWMY1M9tea0YtM7Rcb9Y5vd8MnVlig2mAjgn5fuoBrqABkoAiZPo30/uAYQwou4DL5xO8nj5kxfjENkHz64RyT62Qst/oLcABcdvTk4H5VkIVLeCLF2D4PqAJR9m4hoIG1LngnCjtRk0sORqfHQTk+mHLMS9b4B524CfvGOA6YOlOrKoi7liqsU8r9nHF6+GCL4YPAIBVE57KDv/q8hP85vEBxRRufWhVhf+vgv1hxpvDBR/Pe6zf7hEuYhlnliqNJ21zooF0Xvft6gCMWcnMENp0Vzeug2B+A8yfMhAaPwQDOwGNivVVwfTugmnM+NH9E47DjP/i4Ut8Pjzi8+EDPotP+DK/wrUO+BAO+OpyDwAYYkUcMk6XEcho+xMVKAdFbvRiJgXwES3pQX9Fbv5/+6dMNs4WGEIEOpn+g3K+AVjbSxOqunqgy2z89dOpBRSiiuE5Q56vqJWCT1m6kGC6AtHL7UbW4JYRkBJMT8AZQlyr6ay4+3VGWAsOv04YntNN+R4AhCKYvqeNckZgmAPKk/W8HpXdLA1YDKtg/Cai7AOGVxccphXzd3v6f5kbY5gy6qcVZYm4/28m3P+y4Lt/GDH8yUeczxPwTAAi31XUURHu2GYoHSrybsX1MiL82RHjRwZJ5bMFIVZopeiSvB+p22BLLT8o0pTxcLzif/76l/gkPeP/+e3fx8+/f8M4rQYMseD14cLA7LQj4H4/47PDE57XCc/XiXmSqbC2+jTg+48jMFUc3p4xX0cc/8Uex68qirFRLp8JLj8li2T8lqJ9wzMQL4qy5wFWdoq6B2CgLACEoSCNBes1QS8T7ePvX/Hq4YT3Xz1g95cjrj/K+D/+g/8GX4wf8Kv5DU5lwj84/hJ/svtL/Ov5J/h/zH+CFCrefPaE9R0TbGNiO74zCO6sJeJx3iGvEcikse+/oh1ZHowJcgooYUA6sXRMo4EdQvp7XMB+twbGP399xGlXMOwy65k/TBi+S8S97VwaHhPCCjz9ccanf/wdni47vP9+D7lEHH8ekc7A/IZMk+OvBK/+fEW9/M2Kcv/GQe4/+2f/DP/0n/7TH/6iGrRoGaptw3UAzeHcUjSbQIOao14tehE058hRMB6U0jIAjToZpddSNeOClo1q2cK6+bkFC+3Sfo/NMfTfm5/nlEJpIgK3GRexjOoP6kBegNpbiLIaCroCWGvCqhGnMuFx3eGaB+TMJul5jRBRzDlCZGANrlNbDDFprS+MrhSCoNq4tPv2r7ZgMABsLyGATP3ePSNKg6wtiGzZXFN9VJVG8SgSkEMECvCEifdfSM+rJUC1MoNrAa736W31QJ6VtbFrVAejEBIhlVaM3kRkaq89a9O5CdD7uNtfvh58jh3E2L5YBD/78C/ws/f/NX5wmZiIBoULQ21/d/PHfSQljamte3vtTRssy9r2TGOnkXuvztaKxuZDgFYHBJ9PJfDHcfYMbRedaSibL99NBjdY5ktEf7BHWl1p1VYbfJNJD6CKa6yIodfxZQ3M6nuaDmCbHaNvVh1MpCli3tQuCoBSgvWhQxNU6KIbuFnPN2Nq97llBIiV5GyR5RsBoWgBbrKBJD+sUWecnTBsMhIsIWCmLpfAdW6tMMT+3Ih1KG7u3x9UN6C7qELxwmhsXvtbf6bd/mw/WwUIbd5d6ImLxOsFf/b4L/Gzx3+O33o5M2GbsXUxtXD7mtaiKNprlDfQ1rtncDf1t44IN+VoY12wLOWWcdKo3p7pMXunvs3UbHTuKukQ7eDQ5pm67cBN3aRncm+EgJowIRpVsHlIovb4tdHgqhmxTt209ZEDirVXuCxDD3J9zfg4bdZ5s9PW11ts/Mk66gBPy4gqei26ASQ37c7cvjoulwAkgjnJhEhINY2Y64Bzrcg14LlQUdn3aa2G7hfp92trnHON1raoj+Nmr/ma3c6LPUtjoqjZOyEApS9e165mG7SzgoJA/ay3IOLPf/3/xn/88k/xg8vozKID1AJcHSKpn4G1X8jahtHFCdtzysZuN9sOo+uHTpG3siW/Z6DbzfbhW7us3R9xOn4LaHyvW1XM9jwTP5Z83xdtQW4Y2D5uK/rV7v9l6cvtEFOzy1g3c0246oAIRYG1ClQKp1UTDFLf/05L9YBX5Sa53myi2yi755rQgsRmM+01N6UEiptx49grxcNae0MKv42JYnDOJioQXOuAUxhxVXauWG0Agiguy4A1R+TrgOh23LPoW1/K/K7GegubzYwXYyo//Jt0av2t/gp9Ie1rfOPH1uRaG7Xd15//+v+F//jr/+oHcygFpraPFmRrIHi3ZSgC6K2jti0wX5xB3j7z5b1KFsTnDg7VkdlHTQpcyfyACubrSPAjqJXdMBCFlzTJxnddQaHKJSLaemBrKwVywNMzsyMhmNK+iZhCyFjQElEDX9vZDr74GMguOeJaB1w1IcB6lNcABNKSU6g3rWqWJeLr8z2u2frMqkAC237mLJDMEsybS80GepKt1XQbYGWEv2YfCyAze78jKTPFbT/1uQmx4DiueO8dThTsaBInJptKwrlOeKw7rBoxhoxdWlEn7sdq+1Tss0SANROAZaxhQmt7u1/TYwmzAIhkwO4268LnfkBzg30fSlCkxKD63HwIA3A3ZwSUQl45B7Zxyh3sb/FJs70vg6zffv2Ng9x/8k/+Cf7xP/7H7f8fHx/x+7//+5DLFZiO0HFglsvarsiagRpY+wKgHka2kwjSFDfjhcI/0WicdRCcPx+ICMwuBy8NUV+tcX2+U9SoGD8av136Qaus2251mQAHaEvf8TVLNJX/4zVcTnvzoCOspEM2OljwgJufGRfSZ4oJV5Uds6maFLLSsGvi8y054Rorvrnc4b+Vn2CpCd9dj5hzav3YLpcR69kKYG2RncMO11iQl9iNTTZhAutn6gqhcakYn9xZ8Bo3Qb6j6NNwsvmxjVdGq3kGLBtowjuBFE5EGiLZFYgK5ucJS1DUKtiNK85hwBALgxWj5V0vI5VPlwAUk0O/yk2gWQdgeWWiJZaF8HlKl05REHOy14MdQkbXSxfB9HGTmZOe2QdwK1IDIt5pVsS5NidWhwhVbQ5M3SX84R/+H/AHP/nfQa4rcpnxp//x/8IPiAGsL9+e1NJ67TZRtSjQSCpQOC9gq6wRGF94Ec3h8fpEz+JynTfnPxAVi0tH8H2d1eKKsnoT7LBlhLa2EGEFkrI9EwMHacJSTUF5kymnMJLcHK5QadlvOtYuhqDtoHEn4mnd4VrYOirJA7IaOmi9bksNOM8Da54ETWE8Jh4sy5LaQeQgSx3EBBuAuvK5PBOUD7Eh08OpmvOGlrXnZwSsUejoBzpE5a7y/scKSWz9EizA9UzEd5cDLnnAp7tnfLYryDXiZC2DzuuAJSceCCuVn+MpMMNidaLVDjKKf+mNo7tV/O5rin9CUaAw8HNnib28STHTpIhXQTxbBmjue4YUP0W6VISlIszFWrgVeHuJv/3mf40/uvsT6Lwg1wV/+v3/zexKZunILlG50+w3oq1zX76urRAD6t6OEQPUFGjADp1oQd7T8V+PgnyQ7hhGE+SLXNPe+9izB76eh7M2G70dQ9FtzTran5Y121D/y8jPGk+1OR7YgCPbFl1NEXvYiDNFBYJCa0ApiiiKfbIWKevElm7KNX5ZB1yWAct5RPgwQAfFU6VDVBfW+SEq5G5FvSREq+HyZ6fgVG2OvFS2U0OhQGMdBHGp0MigrExkt6x3gnzwNWD2BVTWdvXzeiiIdyuSCX2UGvDV+Q7fXo5shTFecc4jvr/useSI5zOR/fo8sJ3I0tuSuSiWOyE/cDs2djlka/OiTs8DNFNBuIxo1P14BUIUZNFbD0U7oOvtzdJVMZw2JSZ+VUBqxd9691/ij45/Ank+Yy0z/vTb/ys/ajegDHvagt2A9c7KqyLfOzwuCKcuLqimuKwxYL1LyPvQ7scV02sUnD+zmnOzM3kPLK+9nhI3QT4VSHsg2xhHlSKRw5PtD3My/ZkbBVZ6INXavbntL3auiSDNFTWboOPEN4bCdT2/YmYfAGQFMAIYaAtrDlir4PvzHlUF5zzilCdMIeOYZoKZNdx2iPAMLoCYCmIkrdRF2HRXUBFbiYI/RyiK8TFT5C0NZChUbS20QlZjVwSzf9LWeHoOqEmxvCuAANGEkhAV+3FFDBXPCwH4v4gZj+MOv5C3SKHilCd8Pd9hMYq1iOLxy3vsf5mws/Hd6n7UkcrW6Vlw+JK2O++57/xMFRNj2wKRDgxz7QpKUNR9bYkDvPBNfVyA7suFRa1lJj9/901GvKyAKv7os/8t/uCL/xJ1iMh5xv/nX/6fOQdzBawWfz2ybQ5pxjxLD18rhlPF5V3A5VMurPkV1/b6IFiP9C+9tZoLreaDZYGPFEgavw+4/zmD6A9/X1EfMvYPVzwcrvjwvMf8fg9ZBNOf7Tmef++CP/o7X+LLx3s8f8eaUUQGpHUElruA4QxcfnaHobhAFqBTQTiukC93mL6eWCf8wIA6/3iBjgX12wm7X45tPDUp1oeKfKgEsaMCa0B9P+HxkvAv736Kd7sTdmnF3337DR7XHT5c9yyzggFFoaJERf5mj9/8/GhBK7/38MUz3h7P+LW+hj4naGYwX9eA5RUACa31FQDsf5WgCVjvK/JeW0zh505YBMdfkN9++VxRHjK0RKwuBuVnowOtU8F6x7Piv/rF38F+XPF6f8ExLfgX5Q/xr59/jBQKfu/wAQC1fXKN+MvTG3x3OkBBMKhWwdNpR1r304B4iih7xYf/okCKNN/m8BvB9AF4+gPB9Y+v0FPCw3+fEGdmqvPR6PWrYL2vOL474zAteLs/45AW/NtlwHw5EADZk6KT700RfhV8/+dvMDwGvP41N8D6gNbFxv365XVC2d1q5vxV1984yJ2mCdM0/fAX3ks0BmgNRJ0d+fc6XVVGfkCryfWfE4k1+ujAukOAB0KAttqisvNecoYARUW9RBe0bRcRdzMmhs43hN4dhg2SsD0kiI51MZgaLUvgQQTQqcwWBFDtjwIm1R07R62dtmLNo0sJWHPEaR3xYTlgzgnfnQ5YS2RNXwkMZK01hjusdWUmwJtnt9852rnN2hQzbP4ae85qgbZT3qSg1WluM0DYZG4RLXM5KOJQUYtAlwSFYF0jQqDoVKlCoYbrgFoD67YssxWuxts3ymarKxILTjeZgBo2TpIjvYrNmErL1Lk6KhJr0Dzr4gfLRmDQ6lr6YbkNMMUyXKggsh9HBCSEsqm5BbqD36Rrpf+8tQDa/Nz6M94EBtvsL2BZso5MMWDfZLomr8OTVn/U6tSCj49uasz57NH66W0zmk0t2R/HQZAtkp6VTl8ibbmNv/37xhnT20dh0o8IoYvteC3unBM+XnbNiRBY/c6FwayYU6UqkMABEQFU9KaWcOvYSev5yz3pNsdpeFR399/jhtXBAeA6R6qQ2APcEGt/niq4rgkC4DqkJqxyKQPOeaTabAlQr1+x+i1XTpRMW7NFaLkONs7MX3X53G3+ZpmGNACgZTg3dW1+haItwym5wpWSxexuCANCZJsfbGqJKUjFIBal55bV2sTh5v9DC7IA/LDmd6O/UBPBkzr0zJEHuax9ZXZIIxkaLrTj9uLl83XGR3/WlsUEblgfrH22cyB3G+A1kvLynl86mm5X/PNsfSiY+ck1YK2R55Uh5I5G6xoQV6GEwmI1qYulKIMiJEWJt0BHs+lef+ssopXzyDZ9BFBdZErDpk2H12zW/nlq46BJWaMYK4LtuVzISNgsO5zWEc/XCTlHUuSyicBkaWeG2xzZUOe3l7Oqtmvda7Vae6rK9SzaB7c5cUV6EADcfG+rZSusBff5uplLVUSJQJwggxKI9F9ZT1xNAWUXKQDovkBW2nkT0ZSqFCK0INdLpJzlpZ5dEaMNGwDu7Js6cH6r8Hm12rjkjU3S/kfUhVXoNomBne38RF+X7jh764+mN6F9nJkZ72sa6PtBB/5hVtLYdf5ay8yuJeKaE4JMSKFgFy1xAbK51DO3ipuxiJHZm7g9LIL5FNvLz/W1ImjYAFbcN7dnNm4yOKJuZwUYycLRc2h20luPLCWiqBgYxZ9FKy8457GBr6qCcAkYP8JqVf2s3PpZBAnSzPtc74xyD/OvIm5Zgejn502yxUAzMYaej9tNhnp77hY6Q06fl1wJQoogIiDEEWWIt+NTYTX66NoCFaiT/16RrhVSAlzfwcs5qpXCqPkf3hEDQCsx2epEDKcKsd7lwfomv95d2GJnGoGckE78jBwLfu/4AR+vOzz7+aNKZXOrZSeNVdr4ke2hZI4twPSeZUgt87xb8fr+gm+/n0iXtTGsg2B9DYI3DlTOnOcK4MNlhyCKT3fPeD1ekDXgOUxtjefqaKpSZOmj3eOxYcZsk2nMOilCn71IU0iuE1BG1jqnE1ALoK/ATPYQW6LG11o6cW6WN0BRaQzOpvYc0PzvECpKAkSFQlxDQooFAYprSXiUHe6GGQ+H9wiiiKhYA8+rXEPrN68qqEuErgFhCQgFyDtFuDfV7DxAQCHB6bHguSQc7maciiCsiYKOynVNgT2K7o4pY5cyDmnBIa0YhozrYOfQWL2jITQEhHNAugjGR8HuQ0VNguUVx5GtUvn8ZSSL5G9y/U8jPBUjdIhtf5IKZMj0ZQZyQRgSdI4Qp5LAnOxMoYhghf0HM3AejOWd9cFzhF26s1dHRT7cqq8FE3dxQ8IaJztkjFLi1Cgo0eOQFeOJ2dp4YU3Nep+w3hGa9uygBt5H3ltWIDuFVVptUbSsajDBiDoIhRCT4HqNuMoOj4eMxzsKTF2vQwuCoeAYZQsQDbUtI6mgtQgFnKpQBApWzyYmMuRB8WAqu5cCqYoyRaP7Kry31nqMTXV2+qgNLa6jsFYRoFMDHjTZm//aAbU+j1ifR9YvDkSB6sI5D2NBGICysMYkXpl1dRryzbxsAtkmRGOUmbiwbhgwlF9gz6CNDhqEWeWND9rWSliZwY0LsP8ut7n1FleajELl0vuVbVEkV6ote89Qv7zmfJO5lTXD1TnF1r6EHux6b1bg1gGToqjGx2s+gAd07vjbQ+WDAntf49KdYGuf4MG7j+fLy2nTYQOAuOBVo/tZX0cEoXpw6pmtGnvdHMefDAoNAXkVrDKiRMX7NSGEHjDWapR1gKJMCq7z9gesdAjMNIVYEWOFDAXhoLhcRtSZCMZNbZMAoSrSmU5/XGrPxImwBmmB1XtS7I7rSNu+DLOgJnNup2q05QodAahYrRAD3UuqeLxO+Hl8w6DA6s8uzxN0iZBzRLo4s8L6l5oybrZ97baMWRbuhbiaarigtVZxiqGrzorV3XmNqQZXYuyiFZKZ6dz2Dg6rNqYM/yh7glZb/w18LLjhmHogUBVSa8+OGXDgKssudiKqCHOhPR4Cgb7U1cJdPM0VXp1JsN6xvkaTMUYCqaHVafiweualB1FNZd/KX1omd7b7QRef8hrdavcyXBR67aClXxp6UNWCWkGrgRyegHRhvdoKD8YHlJjwTQl4vOyMpkkQM6+RwjiXZPYTFPUAqLgpgI7MJogBKkgV+VgRkiBew23QqFzrkm1/1ooQvNSHGyIYqOUCZdsev2XHTKKzcpwul5eIVROu5u2Ggc7S6TLhfVCUbM+SA+QUW11iqx11NetlK4rjg3obGESb+98Gjvl9hhUYinbRR3V2gjt4Zr9MWX040d5JNltfFGHmuhYHamIilgAAL+u3kiAsBbiuaCJYSVB2odlzxAjdj8j7gfPm/XiDn0U2BmbXQ6GCbR16UKNCQTGKnhkIbt0WYiBY4UJjzjyJ134mBtMZARyA72uUys/8Dt328wWMvRCaP6Chaxq4KrdUru94kQY4xYsA34xs2fRqRRgqSgk4zSPmNeFpnjrttwZ8/3hAuSQ48wxDxe5uQYwV+3HFmHI7l69rYr9TA3vKCFDriRF7OtF/GJ4LUqNSk03nge74TIVzb8N2007yGlv5yRp5P99+f0/a6VAQglodJemttQqmIeOTuxPWEvGb714hXxJiAZbXZnu9c8NMuxNnaWfz/CDNZjiQHGw9FisDa31HPRivvt4F6ZHPm848M8pOza8E0kkaUyGuPOPiUllzfrHzLgrqYWQLxMtibdtGhNy1I/IhYH1jGVnLwgFoYPHjHwV8+GNBvLAnq98/hP+OFzsHvU+1iVnCyn88M339vODXf6sAuSJ9nyC/2OH7lWD3+TwBF9q+0x8V1tLniH/+yz/A5XGHeGIWj3uAPu3lc2kgWgNEB954LQJENNbK8rpSr+J5xLdzgkbF5UfVzmFpgTiqYPzVgOl9n7e8j3g/vcLj8YDnNyM+PZzw3eWA909H2sA5QRXY3S3Yvz3hKRwwa88gSgXmf/+Av9SHlvvQItB1aPTq9UG7PTZtB4A+SFhis2HpDEzf84zMBwLCkoH0ITbfsE4V5aczhjHjx28+4t3uhF+E19BF2PHL+mw/XyfMa0KKbO/5m8cH/H///KdQFaQxIwTFch2g1wgXmBJr0eR+BhXthe3iirTuHacfC86fJawPivztAXINyEcAQXD4jeLuF4Ln3xdc/pA8+O+/esD3ovj14RVSKljnRKHXHKBfTwiz4Pg1BaUcBAeA8+dkbVw/rai7ivF9xPjI+Tx9HlCv/1mD3NDEGlqgkUKjDOmyAMsAmQdgUMjk1Kzasgw0JKWJyrgwj59SLUvnkXS1jM3OHFcXu4jokAgYSI1PlEZfj4FG0D7Ha79kRaP2pecFshbU8cDXC5qwhDtsVLnl93kgug2sogdh1VRojfcSrkQiyhzw7EHt6qkeu7Kh5VaTo5FoEesvmc4HbDyMqw5DjGGPDgv02UuNol1OywtLRTXKTxmN7mqK1v58ftFJ4QGkRk/FYA7bOUJWQd1V5LG2zC0EECswLzJ0Z/G508ABsLH0udJQW6sLcvSl1SlIESRVqOqNYxFWhYwUoWiqv5ushV9hpTOUZsXwcSW1x9fnEFGHZOrZpsjpV3Fn6UWQa2q00oR5FC5wRI+nz6PGAIxDy355DTo/x+5VXAQKfHgzvKxHNEdN0ATA2E+QyGpTpMw9wKXqZ89m3SC6+O0OvgcNTl2G1QFq7RRIr5+Ef0ZWU27mDdfRFBWLMCvldUbeZ26DUFM9VqwO1k9/Tly0IHc3ZEwpQ1VwGkeoK4NLfxipQLqWlgGA2rpP7KuMwoxXmejoRWNqdGVvQb4CoRARVFMW1FR5SC2kC+UqKLHiWsfOpHBk9RoRMinDyRUo1ZyUK53Spo5sjgLrzZghpVhTJbA0BgMazP65unuF9QHue4ACNNqAtVay0KjnHvxW2oCiFOIp1ubKa21dKflFJvNmH9VKhz+gBbI6BI65fbb3mNYpmkNt9M60yazavcVI25yPgnI0wZX2VcKAQQTVAt1tDW4Z0YAeB8NatnJTM85soLZ9F9CBnG1GOEB/SybXfmfU/LD6/hBmDSpQNdDJqtKcIADAGhCfYgNSpAjysaLcVQIQV65FnVjD1b4yKHRXUS0bC8tWaRCzT2YncoWUghCYgfD2pBoFSauBCqHtbQ8C6qTQqXZgqQLVhEXE+lCWfUVJta1tDrjc0NTihaIiXV8BTb0a1pO1lVSYg8+aP90Ig23Oug0QGIpCFqBU0moBfrY6UyE7SKcWfBAgav3NizJo3axnTQxYZS0/oFHXGIClQuYFQQQhEV0se7Q9ixhQ9gPWV9Y2LtfG5PI94swi1nQrhktAXTuwVUdfbw6umwbAWFEASLb+q9nm2qjqzTep9sxmn52h0GuBpftF20sIWDdKswiGU0G8VKz3EeuB/S3TmfsmHxmYxSsBwbID1tekGtcqWNcE79hRq6BkA3NOCWGxNWePPQ4Z+5Eq+2NwxXFj8Vgw41loCqdpSwhQhK8A1UGbPpbBU6TaRQABAABJREFUypQ0CoJTcMum1n4VoIA1m4HrvTwNKKmiHgxwWnjfsETC9S7j1f6KtQbkxxHxicKF650inSkK1NSo1UFlfmE+8t5uGAZeozv4fesNy6rZq9LFxsaPnOP5jaCMHUSOs7Y2eU1zZS7wfs06BpSUEJ4XyHXhMTumZvsAa312x0Brei/YfUebV3YEXU9/VJDeXVB+fsT+W9z42065LqONqSUWfO0raEskC+TzGf+nv//f4teXV/hXf/rH2H0jKLuE07hDvXCN1LHi8PkJYyr4+P0R16+ObI91IRA0WJnd/EaRH9giZ3zcMH5MiEkL7WTZ2Z8jM/hyjcApAYcCeTcTfEHs+6MC+68Fr//DirwPWO4C1iOw3ieUJeDDUDCEys4OJ4rspQ8MkcLDFV88PKLUgJOV4ckSEGfB8VdsYXb5RDC/M3tw5b4sO6szt/OAlGuuiXgVE9DjeMcZOHxTUEbB46vI8p1MoI8+GEsJv/jkIz4xReh9XJlQ8ERfIBNjWRIWJAxDwZgyPn48YPrZDlK4tteRAr0sXaNt9/p3AMj3ynpbBeJ5I4Cn7KOt+8rnf6QP5Jon978s2H094/LJEcc3F5ak/ZLfW/YJy2Dlj1OFLsD4geJVr/68YPqw4vLJgPkhIB8F13cGCrzOCGOBmggpBdR6PfB/6vqdg1zd85vCNfcDJpjCbARrdWEH2ZKhGhGvpFggCOrIyuMmkGLOhfeoEzW0OEpDdCULMz+WMd3SMBnkmW8G9DpNMXS/bA5ai4xIcRRgDMj3Y0PJPOAG0A4RosZA3dZ8au8x25C92I1eOnVjLQroLCjWP9bV9PxzwmI9NgWmPsrgNq8RGCrqg7aAUrKgzoEO2EhV3mBoMANKjrGUngkIK595OAUqutrXx1kwnJRO/54OKhuRE1mrNm7qvYMXF9mJ0GvodBwBap4wB0V6Yr8yByD4vBunMnhAZwekOT1s1aStt6lY1gvoh4SL4DgVFI5rKA9u1pFQtTYuCkRB9SyUr6WizGoVvaHWS6nAmoHSg2L/TjGaZhOfsqywMxfa2gq9HzQPx75IVdAETraBak3MXqeTMQMmN+zM3LN+uVO/RR0V7IcPgyxt3+Nr10GQar1LJSuCOuAjzZFmMM7HY4aUzrYHGv55vXYQGJ6C1XJHuGBZC2rdEW/sDR8AMAgupJtLqpBJMcSC/bDibpyJAh8mVInso1b5fTr39SLogiSiYPAF8AFyRbwUhNX2iNOwBusbeDJUHpawrAG1DFwbVjKgWaAhtgBWqlFmKp0dsTlparObrIwHqE5L9/mJqwcu2PxcbxwmD7KkqlH6rQZaNvXU7kAtYBulDdAjuTZqMqr9WwSaItc3uN51WW/6h+rgz28Bw8geY7LygcIQmW3NFWEpaP1IK4OMUKisXBPZKdGpiQamlJGbNSzA8MGUxY3O6VRY9kAWyxRyH/uY8vlsHMyeulq6C7e1YNbWcLf3tgcapVk3QQp/GSIDWiq4arPZNdHpIijn1OhA7YXNnogXCwyvHuSFRrutJsQy3i847LpRvC4DrlVIb/MaYBcuyoC3LdMhULV98GyjfYALN6KvvwbkRiCdAsoqjS1VB230Lxc3qnMAXGDLQCTvC+qZJld+Ru1nTAcZbDxd3EgJRganFPtad5qy+oSI2VL0ut7SbTkPcd9bar2Qu/0La0VcawddbN9zLIzavW557rxCLtDdDrpLrHGeIlSAeKmtlENDgBSC37y/YLW12p6v2YX2LPx/r+muET2Dp1woamUpjc/tV70NkByY8fITBx3jokhz3+8Az7mwAQO3uDnfr6a/EciOG9AATM/aUeOAfgcqgI8D1iGRAeBKr85MMQBkeKajXyZlzXdlQOvU3wqCTDFUHMYVzw8rKbXPoZXDADw32TNem9/X1rad7aLM8qoAYRdRR0HeK9azAWpeg+7ZMm/5lQPKmelXmV0Eyb63Dvh5eQcUQfoQkUxFmQwRty0GNNYujIWKDQDGue3q74KwYQ9yvXG90N5JL4NQNAp6WMkaSRfrEmKlN7oT0vk1kMVhOiU1EjQr9xNtMEDAfgPOr4fOCILZMWbRTbdiEazn0fozc93mA+8vrECa+dEOIMbVlaHNbkxAfiiQKvjTX/4dLDlifVVRxoB6qLTRQ0W9UyAA65KwrhF6jd32jDQIzR9a+7mR974n+P70GKHPEcOzA4m2VtHnTbOgznR4itWq0oYELPfA0+8l2tnJSiB3FZoIsAdRliDNAbKElsS6PE/4dXzA+XmCXMyZCoqyU5x/HHD5FCiHinKoDAivxjS4K0wMXSPCHNrzAR6buEiaYp0D5lcRZWDNc9n1mMLPobAIfvWX7/Cr4Q329zOmIeP65RF335BtdNmRVScLs+PLqxV4deU4D0pAL3MN14ltlqpajXYGNT4q95XeZWAJDHIrMD7xTAYC8uzrDY3xEGdgOQbUL3YQBZ6/PJKpYsxQdSaRPS8CEzhZBU+/H3H+NLQzxWupASC+TwAS0nPft/9jrt85yC2v9uxbeb6yjUqMDF6GAASBlpEBQKmkLq8R0bID5Tii7ph58QA3ZIpplEkahS9dYLx/AdF1DlacpYlLAWg1MAggJ9wOzDIFeP8vR9cAM0hLhSZ+F9sv8LBL54rxaSViZpkYycGcGSLTeR8xv2YGZv+evTqX+2BtQOgshRUYPxiqM4KUiwoEE5FqKKTdVpwFwZDU5V3hRBeBXiLS/Yr7uwuWnHA5j6hLRLky4Mp7ayu0AOMJrc5TzFGOC7M6YaUIzW4pQBTkfaLTXyriTBSdh6lRdbLXQ/MZmtKoXdH6O3oGEugOvqP82+xh3NQ3t6yPZS78wB8uFfGq8Aw50AGHRs0LaK1ggI2zpaRf77/hwvB7rTEAex7ydWRGdHhcjL5sVOVcSFPOGbos0G3LCeCmposfroBTgzZ9cj3orVMykKEC7rgBqGNEaUGuIlZFTQHBFKTDysOUQmtez8G1Ea89wJTqhrIjxZ7FIirHQdEUmkKgU02HU4GsFToE1MQ1zBpMhURmFcKiSBs6vtN/2b5CTO1WbH8SzWuZDpu7rUL31qFzQEOTIAfSqeMDHaHXuwveTSeMoWBeE87TiPXMWqM4C6rJ1rfMkAe5c2E2x+oqBeD/B0E+DAhTgGhAGTf19InzlQHg6sEPWu2HZ0N8f1Jsx4Aed7Yty8TMLFo2JhRFOCleyiO0OtuyCdA3jvz2s9v6TbaYt1QFW3rpqpg+FsDqNVWAuFY6iK53oNqBGCmkSJWK+vyMulnn9TBRyXJeyXbYJQa0TxcGu0Pk2pgzKXJDQk2EcaMBnTImhGQqk+b7N5qeoa/prDgsdLSWezEqmr1m6eJz6aItg+cOVrVssNMExWojK3xd2DgpEOZqQWrPMJeJTnQ6M0hqwW4xSn3kSdzq3xuow8DSKZJNPMzWecvmVDJXwgIks53rUXD9cYbsM75484gfHz8iK/flt5c7/HJ9TcX6yShi1j4M6GyPuk+9rn8DmmwzeQ0M1H4/4wcxAK3b87wnoHnbYk2awmqvPzQHP8P6Z6LtHQCNNsr6VB8TGNNCW19uwH7uAbBrQ1RBCBTTyXbGxNWEmrbBWnO6tdF6UYF4LYinlY59MT9iXggOpQhJsdXW3uzBa0H5bMB6SM2OhKwYP8xk9RRlCVZVpPOKOsRGZQ6z0oexcSbQ6nPFwKcMXGcajU4PtDHTRLsnpc+bZ72ZjXfBJVv7dhZeXzPDsXuviB8qUlFM33M+0tMMmQvWTw+4vhu6X1H5/rBWZkleM1BmiUA/P+OF37ceCWqHVbD7ygKFvRoLpZ87rrI7PPYspL4BtAhyjlhEMSaKUrHNYMbr3QX4BHg871C+Tdg6EjUB6yE08K8lN7KBr1amlJ5mSFGUw0BwIo1YD7JhPxjVc2QmqkSr5Tsnsm4uJl5oAUb8GJB+Hjd7oNvyBlpm1psyoxuQLxsb3sp9tsAPX1umgMtb2pF0NZqxkuHYfZu+vt3mDSfF/j0j3+vryHM1BAwiiHNF8Pp5s2nlzQi8HTE8Z6TvLjestOWVIgXLGqvV0kYL7pKVvmhCOhNsqoPg+pYPd/dLtqaMC+t2yxQw3/v5bwHxXcH9j57w9P0Bl//fW9RBMfztEx6OV3x83lGheizYvVpY4vM0NcZLuvB+yrFCr7bhjfknmfe4PGgbH6nA7lvzN6TbBMnChK0z+5YAZIFOFcPrK2qJqN+NCHPA/JZ1rm48a1LUY4EMpPXGQHp+OEdjzvEMy9+NeLok1oyeTQD3dQWGivH3nnG3mxngl4h5TlifJiAo7t6esR9XvP94RHkaINeI4cK5z/eVGXITw7rKwIz3ACyvKssahkqF5ZnBZrwI7v98gBTF9dMJz0fF/W8Er36eMd9HS+Qwa58uiqc/GLHssjHz6IelE23Pda/APUsSxjFjXRLylzsCma9WvH5zwuPTHjhPCAuw/5pg2vVCoTXvRR1nwfiRNmt+E3A2qv7Dv09Y74DL763AoMBqBj0qQqooA9dUmRTXHzEruf9FwvHXHfSUChx+FRCtxWJLav2PuH7nIFey9uprq1V0gaB2M/5zgMFA2NCbCyN6tkQBHbOwqRO0ute6CNLVDuB2sKLThc2vabQQp6dV0PHyQ/+FMAWDa3cuGVCwLQZu6ikBy674PevmsG/P6caOBkAsYb0VTGGGuTtJdcCN49rohhXMdAVDUQMQU8F+5IG9RMtKins5mzPD6VqCnkFuVFR3qvszQC3YAu87XgUydOcd7gMLWm1sa2eT6QR53YQoEGZ0wRh11UdtAdwWvQVsvIKhpMLXxKW2wGp7tf502DjOzWFCf9btnNhziiqwAKIBweo4YXWHrU4xCIGalBjwtol5gSK5sxmdJ679j//OakQFt/VS3lfU78/bnfhcBACODDe03gCTVnNpCLMLG91k8RTwWkpmZTuwAPvs9rdnGHTrsG3GUPvr20GuQJ29LlI72KAbMMeYDFp83m73UqNTBv8e0smScTCLZwECEdY1AE0A6OXl+7o9V58DUtkVrSWVgS8a3NRQTCK29jNoKD3fL6iW3bvJ1Nb+t1NxG4W8tRvbjN2N3dnM6yYYEd0AAe19Pr/a6GNtD3tWrAWy6FnjujErjTkR+r/9vTGC1Bf7vkJUHqV2EcEN/U1yhQTbKyn+YH9CDNQB5zQ45dCBB7ePgQ9XweBLvdYQVmNu9OvOTLnd01BYmyRte2g7dm73EaS/zcbHW2ZsP7O1oLJnbeI3AogINJs+gK1ztfXYhMU8gGn2ZrM2NjS/m/NEtNE4Q6ioscJby7hYVsPVbN5bHb3bPBhdF0alfQHEeSsacVp7MRsfe8nDjYPv28Bpwm6zbd6aI79hGrTnLVafa/2hKXrW13RjF6GvYQ9M/OxuwZn08fTnb6CSiXE1gGK7t9qbX/zs5WsaM8xtcx9THkLa9gRctK2g+xL2uhpsb64VWqVlU2k/eDZ7CyEx0a2wACGRsZVO0m3JNrja2OsbQa+NPf7B5feSzTbHbgM8A53OZCJkuI9jb80udkWn1eeEAI+QBlnQWgA6dXF77qACKGAtYzAhJ2vDckgLUiisXa8BHxyk3O5Z++NlF/7sXPPCdoQv5tI1DrTaES1AGGxuIlgXXzjWvoap5QEAAln7Odvuxfdu7l0+AL+PDiRtbTT/0f94Rv1mHn28N/uhjUHzJ6WvO5uXVobhr1sMYDFAk2CJdJBnW2ZlNNft3mttqNBZGqSL98wzxFS9FVaHLK0Uwc/2kIH0HPH0/QFi/XQlAMtpxIfCmmfXcKkmvMqa7J5N9FaQUqUpblOIkAMrleu6Bh8jQLJCR+l+ho1ZWPh33TF4RRWsjxNQBcm0DrZrHra2wzMF5Z5GIrDrZWgJtLDAAFFBKbGxRzUpMFTEXcHdbsar6YrnMFILZBTUQ27PfV0TKfJqmeqFe6+4sN4agBWNlnzjAxitXjYlEL7mwgIkW5PrPiAfwOxs9Aw4fc/1aWyxBJWc7dxKSiEuAHmNKDkgWCmcFmszNEfsngLCTBGqmno7z1b6U/t4tlIKP8MG7WvOsstVgSIsl2lryUoeHAhsZ7jtS7XkJveBgbFbn/avuX7nIDd++wEyHuhApYg6DQxsTNqcYk2kWfkh7C0nZGFmsRwGlF1EnAvkwhq7dClE1u0aToLxOaAMwPyKaAc3pzs5Lx1P9ADLhC/atTkoauTBNH5coUFw/XREHgDZhfa6UBSoinTKzJaMAWWgCuD4yHrfvBfoxM+KJ0XeUGKcftsVm3mY1CRYHowC54GCHzpGXalrQHmdEfcFD8crvjg+4mnYodSAiwyoGLkw/ZCojgora3GDIp4z4jUzo5eMJlTogbtyJ4P1irAEqx/s/VrTud9v3jOTsd7REKUrMDxt5qAA08eKuCjyjlkzr4vm/HBlrvcReReQLhXjx8w6m3tm68aPGel5wfowIe870g4AxZzqGnFDZ2a22pzihYhkC/aUWSaZC5Ih/l5jiKKQZYXXHmqKwABgNwIlAd/aknFnvxQGwMnT1raF1gwsM2QcoGNXEnd0kv8PS08A8UIEpBjFN6zSRdPMuYiLGwp0FAuc3+GkN05h3GTLXwb5ISv0RX9NlgUAW4Vzd+BCqbdK3ptAfHjKkKIYxtDa9yz3DljZ3N4ZdT6jCSttaVuoQNlTNCJXQT6yRjcGoqlLiXg/HzGXhBhYq0sqZQ9cAZgoic1tqYb33L6mjTlsjVwqdqut5R2NrINSZaSQi4s9cZ0K6kiGRLB93OhpSw8CtqqnpMl2Z7MNo1OSS59jiBAIkB6sbSlKLTOmJi4F4KU6aVw2QWA2P8sdc3cIRQgsinC9rxkIgnB3RNQB+GDz83SGhImO5CJGxSXNGQDkMiOer6jHPfKr/c190KlWyFwQTws0BYQ8wNuuaAqkwBdmudYgiFUxfMNnbQ5UMUp30e5kbubT7cxWgMVFAh0ACuYI5kM05kZFmCtisd8Z/ddrX90hTecC78FOCmVfI+nK75ofnPZHZyWszNpqIj2w3UcB1AAVX/eogmtOeFx3nV2hgt1uxSxATmOjrOYdFS51YPbHGUXxWhAuudPRffxDQHkYkXex1TNKBfBtbeAkQLtZZmnjCaAL5Fgmha3zbA2aqfM6WC4EAOgBAFvYmHrolVnR4Tk3xXYVc5TH0MfVsuI1cg0P52qv6/u4PVsDD7ivhlPmGGzP9QBoFUiK5nNwHFirWaClg5Z1lxBzxfBYEa4Z4bpAh4j8ag/dCdJpZTutwM0ohed/E7OLrhQuSOeK4eOV+0QmhF3A+MzvWY++gemc0/4yozh9UBy/LNBABlirr/fXCdpaUEFjNITie1Ka8w9MJkwGjB8y6hiwHjlxNbHMZv/tgrtzxno/4vLp0OzK9qLfwTNnfkWGBX0q6WdtAYaTBYaBzAA1EELngPU0IK+RIoKi+NEw43929zUA4FoH/OryGv/18Q3Kc7wJln0NjU8rJCuWVwPHD2ZTZ0F6ClaaEFCt/tzXpBRfJ5aNXgRlYVTj+69lzCvXeVy6rffMu9v44aI4fLVCo+D6hhTXOPdWZlJ8zwdSv519s7HhzmTQAOQdWX5lZ0FZ1pvxDysgM8/1PDGrPT6zF653l0jXgvTNI/fHJ/eQKbJO19u9LWtnl8FKH47WpcHrobUzMeLXvI/5lTAbH8jO0wg8/7RCR0WwFpCuDCy2DtMFZBL8mxHLveDyOcft/l+PkDLi+Q8r0ucX1BpwOU3Qa8T4TWzMBigQ1SmwViccFPmo0EmRngKGj0w85bcEX1m/Dyx7YHnDM49AEeuYpQDnnyjiqwX69Q6v/p0FgUdjL3gglljvGWfB4UuOzeknBzy92WE8CYZHK2k6E3AZP/C9TnEue+Dh3QlvDhf86PiI+zTjN5cHVBXsxxWfPzzhmhO+/PYV6jk1rZ10EYwfzd+YBJIDhqfQstNN2ycLVIHhKSLMpHSz3RCwPBBsShcKx+Uj8OHvBqxHBX5yQYwV848iag5IX424+7MBZQfM7yrqvnL9AdBjwThmLJcB9eOAMAeMHxnkrqeI826H8TcDPvn/F6x7wft/IMgHxfS9rYNqIEkx9qeXHRXWVa+fraCOUIBcBNO3fM71GJCPkaKTkwKr4O4vAoannhwIq5V5CoxdCtz9Cth/kzG/jlAJkBdEy7/q+t1rctfMVDTAjRdAp94zZOZceYDrYhCAOWNb52XrENbufIsSEUkg8pJ3fSC2FCmoG+SOhgZDt1qmxBECvTUwzORt0BJ37KtRpxRmHCqKZaFZh6aWlZbmmDZEOzMwcIquFEWw4CzNzFSy9hiQsffWq059K2g1TsECgF3MuMaCFAtiTARRXqK7G4TVs0AoSuGHLSq8eW0LdKQHixld2CYaTaxGjkmxthjemw+wzVnoDAWvhROrqbO6uZbB9CVjga8WYYAdgLAUyFoQPCO0vd0NEtfvGw1hFQM01IJJsXliMG+S+2tmQDsOEBffqUp037NX/mVtgdw6Xd4exbNjYofHf+pqAlS6mRuRlgFscwK0QKjauDcDWG4DK6BnW1qG3uoWX6LNNxlPbH62mRNUUKXP79kHXJWZvMJ6XiKPgrDp4wiA9X+p0xsb2oy+PzVyzUsGXBDHv6co5fe9DVG/0ReDabRUcUXVl3O0GXPPcgaAmd3K2lG2vLABr/ySkBlcqQjKwu8Ny8aZcvDLaw6zt7CRboeMTiniYILNq//OnqdlW6TP71+ZrTa79rJVy9bR73OpP1yP4swC/1+BpkTgxq9cAFf9bShd6GO7zRSEzc+aHbfPr9V0A+qtXS9gLbgHYNod9zKgocQ9Y3i7PlurGaBlvVyNvY/RNrjv27hRmxc+b7Gatkap9nWkahloAJnL02mMLA0wJyEql06m7anaMy7NNll2Tyrr6rQK1hIwFxM0Ad8XRXuvUfQzTZ3ltNmPtHmlMWWaloAI6kqquC3lVksbAjb6BwLdgCptDW2PcaPLQtGo016m08pL0M+Z1qJMFdGzkZkMGVVjs4Ro42MDjo0tV4KTLpKkL6KvVtrtZ6x9NpF+W3O6fYCbt0PdxrfxlQaMyVpYSlVdMhYtg9/GXNV0GwQwMbstTZxsBxufjS1mP2MPMjxY49/pAvaGTWLK4d6WaHvjfYxenuvtOWw/VYSW4W6+izMcBGzRc5oRh4C4pgYW+XrjurXzCdKy/m2e1ecavWxo6OCJFK71knmOV2vLk6TiLl5RNSBAMYUMb1PY5rP5A8yoUxNgaHaHrDSFs6NuMnLV7Sp/FtYtuCi3n++MhWbDe/bIxXNaciMTUGJP3sR6aGi3SQpmyF5cDt40W+9zuNnTjXHlW6H5jvy7JgYycuGaqkrAQapC5hWIrBdnT172QOfZfFuT60PQxCDbeua4JRO3Wu+0lZd4/a4mZV9jAcfdWX6e6S4MAtOlQkPEtXINDE8898+zULC0ggKrmfTfuMD6l5v/V6TNrwaYKGWFIrRsHm3VrX2s0XyhIq3TRGOfiKJmUyZXtA4pPgZV0RgX6cJkWDpzH1IQyubfRB+d/aMW6AJgj9pQMYaMKWS2kysRU8q4H2YkoV8ra+jZTltzavGLd35IJ5qfYvgyM6QsXUwXEoVkx3nz5FO0bgEaGXyWY8Fxt2KIBXNMyDkAGDE+KVYVLJ7Nt3pYCDtg6BownAPEfHnPNpc5YrwK6+ADO7TorphvvdFCqn62SDtr6wAMdwvKGqHXEbLyOeMFTdivTsw8S+UcUDm9z5UUABHM6ps9TZeCsqcQYt3ayb/m+t3VlR/ueNe18hBwIxwjG4qPiVlc2yiSK5Jl88ouYd0niJqiHoD1wbk97jyaqMQuoey4gPffV6gA6VpZvzgI1kM/1cQdUHc8LWiMhvyHhaqsNVEpFADygdm38TGblHo/LKhODNQxdsEgczAkK7BWSGYgX/ZW86fAeKo3AUUyB7+MguWORejHr2hhr28iWxMNAnjmzqkmqSJENlT/5nKHuST2o1U7lDZGxxV0qYBLJF08gMsVcV6BQNVIBGmULzXJfqgh6oHInRvsvDPUdAWwAMNzvaGpAfZvNXQ+RYTVDKAYzdnox74R0qUinQvCebWMCIVspFTomICizPKmgLwPLYAQEVtmG6qcWgAudoAUG3oVSFLEOXJfm5q3ijuKrN1qLa88sK4VUnstl+QMhBEYB+iQgCHdOP46DZAY+u8AirEFMKBuII9AN8E+DyZBUkNQBY0C2hRiNxSRdij6fXmmeq4tO+wZQtkuvoBmKPqbZRP49GCs1RDboRmG2PoGy4vvD0vF+LTJPgLYfajQj2bI3ElqTgzHq4ybg+QiqBpxuoxIsSLFgikWrDVgLRaI3jj9GydPaEfo3BXIXG4cXEF/Zsk9u6+Rvd1qZNsQB3P0RmxOka6Aro76b8seHFjomUYfQ88Y08bQfvB9G2BN3dGxORalwscm8GjOmS9Jd5zse922aRDkXeyg4Asfh9koUJjH592ZCBvUHwB0GqHDBBcGbGvE1qRaA3aNEWHerDegOaB1lxpbx9cZ67dLG794rUgXy9L4GrbMWKPut5uyQHiloImU0Kjd7igBys+0c8THMF6K0UIz1dVDoB0Xm4+sbNFTzTG2veOgiGQgGk0VQCuf8fZI1QUG/RA+85bHZypn533AEsgEiKeAUoD3co+P0wGHw4zX+yuuOeG6DMhrIjXUBJ9u9ruiZaCdKoxAoZ9eHgHLdFZz+Pk8BA89Ky2ICaitD7GtP99X0daZZ3bhQYCaAJi2LIRnV905j/Ot11GHAAyBYGVR/m2gkTuu0cAEFUHe2zkb+7nT6hmt9ZkARpOjIr6OiXoGuUJMXV4HE7O8LAiXTBAnBMgLKrdaCVUMthbWjPi8NNZZ2Q/d/0jBhPXMhhRguJZmo8uDKTAXOmIunBlWxf672miqKjCFYD7H/Doxa3iqGC0zyj2BxsgJa+9C4D168zG07KfCbEzcBPLBxI+gjYmW7was94N1V5DGXGigG4D1LmK5403svv0hFdzXVHXBKgM245VMmHwQEy4S5ByQU8C1JJzLhF9e3+BffftjnK6jfZe2oImZTkEdnJHBFizjo+1n4VrVGKCWiQrWgi1dtYHcDE7FwCgmG8pgzLONXfX3eXacZwsZgvFKW5/OFWHO0BL4GrMNVJ21M1op+tdAz6xY7iPmV3JDO2bpVR+zsPCchACXdwF5L6ydzgy2y94Ai8xA159XRaCHna21SgaJtRKK5wVyrjc8zum9ID53YdD5Nc/S1gZp7Xt9eOIZ6Jnq3bdktq1HIB+V7IPvOdZ5x2x5mQB5iJACvPoPQI2K5ZVgec37zV/uuNajsk2N0Vvrzqi1AzOqIVPAkpmTgLpYDfGOPnCYzS4q18r4yKC0jhRp2vofw1PA8ps94ip4+v0tUMUa8nTRxpCro+DDH4vhW+ywsIyK5RUwPAkO33Ad5L0xUQZhnXAFHv/sDT5Mr/HN7x/x+f0z/vyrd9Avd6ivM+7+cIaIIo0F6z5AInv05joxDirMVMYLWvmU06MhFDl0ELwODOaHR7E6aOsEMZCl4myLcA24XkbMoijfTYjngN172qDxI0sVyHqCBZMRmkYcTn1efV/vvwooH0aEFXj/d0dIBV79e4VoItMnV6x37GGrCVh2NgeBYER5lfHJwxnfPx2g54B4libMNjx1QGG9slSqjMxQt/1i9b4NfCtoQCsns8/3f+r6n0BdeYTOYMCwpccFQKU3XG8HpirkwqBG7waUKdBBnwuN754GNqyG6HmwOVQAdOTi1XvaZoQ5M2DToQe0QlQ4WPucmgKCWo/UTHqSlAKZBhSj/ZQpGB1zJdJfmbFiA3h+NlU5NwGu13IWMHAXQR1GquFlD/DEGj0bZS4r6hCRdywMHz6uCLki7/Y0hEK00sozm4EIQVGq4HkdUSoFS1rj9eZk9cNRckWYmRFFMMGMXCHXlQ7ufmhor5RKEQfphwegtuGEVCrrq+eS9uNzQZjZjqgO0pB71nLQSYjXinTKqAPnlc44M6DpWum4LoZCqgLXzPHaDzy0qzsM3j/LNj6YGfGr1/jCHCh6hY7mst4kNGaBAHRaPaD1IGDbUiWXW6ioVGAwhzIEOlJAO8iak+xUOcDGHlDr1aqBiogBtdU5imUAYlXoAiAKigVFXjdcG7DCeWXQT4E3sQx5mElhpGJdYqC3zWz4fdozqwcwsDFzBgZ6gOEZdac66zbwsSsUBWYDMgYHQgrCqih7o8ypdjqkv6/VFtNAIwjKGnFZBoxJqHJoCp2q2GSecGvggtEbEwG0YDX2t3WrVBVUo/HLWtocBQssxVMKoJPtPZvDCqCJ7ig8S86gowebDSCwAM2BNA0Jre7PHVCflm1WXYTBt4QeuG0+szmW5qx4kMC55POrCqLaGm4ZEIE0gKP2NRFadHh7xQgMJnAUpQfI9pfG0MDKJnBizJZWb5mMSmgOOtcJ7SS8PGIR6Owevd1noQhRTzX3zwwr7dmWadN+70HWUhFPK1tH7RKBurUCMxAvK8LzDN0N0AN/J+sG9FwL73u6PRKZidk6+gpXLw77yHXi96rSEP90obK3RkEw6n5YOFkFCeUScQFwnBZk669b18CAuuIm0G91/WWjI+BrJvS5blR9u+dgNskpw7lGaPK+rbb/vGWVOeEe/NwwQGz9kk5aUSS0oK29zoLBbosFdW81g9YaSosieNsDW9MEPY0CmHo/bEiv7Y8bZW21QN7rZFUAHQN1B3yGnJZfKzDbhITQF3Gb3M24VQWkkrYcI+r91D43zMUAOwNaDRSJ14JwXVHHhPWB4E+6FsiqFqgzUBk2vcm3JQmkpHNt7L4v3V+xEqpWc+yZ2depOb55khuBJM/Qw2npDmBUbUDGuo9YD32Mg6JR+71sKe9D69U6PldEV3E2m+L3vdwFY2PQhlUTIqRtEOggrMOsAblGrBrx3XzAt988cN8LUPfMAHqms4zCpa3Beg4XxIudoZsabp+3UJhccLX6eDVWjwZUo7+nU0HeR2hIrNO0KR9PLKFy5p1GKzkTV6+2/uumMh9WRbASBU0b36MohgvHOM4Uc2Rv9tvlRvAIzWGPC58PIri8C6gjEFaiRppgfW0JaMT5VuNGpwTvDoFaUXeJa3Uhq2zLWBiegREE69Z7wfLKApyJeyfbeTJ+ZKATZ2D3oTRGHAA8f5FwiUaPPXEMXaDMqa/T94rjlyvKFHD9NGG5V0gRjB8pApb3fD73UT14K7sKPRSqIX+0gG+WZgPraAKDudslZjEV48Jxyi48ZiBSvAJjDaijYn5L2+V9h+NKCriv5etrYP6sID4sKB9GxDPfp7vKgG5VlrCkaHPPwDuswP5Ldgd4vj8ghYr6fsLxy4CLJqw/jZhiRhoKSgkYxoxxzHh6puIb16u05IOXM7QuDfaz+ZWg7mH14Rb0D0pV5hhaWYxT0bPVto4fA4YnQXpG00dIFwKUl7ehZaMhgnRWJiYE3NcG+AMsPbt8TrGqT/67gvFxZTlMEmhMWF4ZQOUBqc1DOGTWKV8n5FmaeKFrmoSiplVgDLbIUh+3adv6bzfRDky7vdiQuv7a63cPclOAhsQM18ax0sMIVyaGmAO6kCZaXu3gtVAUagDKRATP1TBDro22ImtBuACjUT1lqTc1eJ0CaIGx2iETN0GbAnUMVI5VBWwSw1qglknjvTNjG2Y1nugWPXD0WnuG1N9nzxnWinRBQ8cEimKHo0Y6fjU6qmHZ4SbCZQbAnVujNJSnAZdrJI9dKdG/5ohaQjv0tu93p7oOEeK0FhOdEnNgw5KBlS2cXKykCTg1dJ9GN+RgQclt3za+yP4tRMUclXYxDgSOVzBl1DAIKrQ5TAiUwBc3zoH91eoY6NgutQMKFXAqWo1EaJtoiNrkKWmPjri7yE2y9aD7gXVMHqiqQq6ZDlGRlknmQG52UYrM0oowCIgRLvIgqkwHxNv68zqmTaDCoDq8oMm3q5qTVrQxHfx9webCnTupBdY5yH5mzo4S1ed7+9oMa2FbDX9usXGEzYHX2TkFsbgDKe1ZAN6LbvYcsgLeasUdHnPi6uCBi948y7bfbadzMrtd54g5DihDQPYWFFWwzAPi6YftqPzqtPUOUryM38TonNuAJeRKbaKF0bPPSwgmALIJspyqybmCOf3G1BC9zWq19WrZK9l6Ox54G4hRKuoUUfbxJouzFSjx93nddZnMpnpmfvM6DR4s094IKmTRNi7MThZrkVUY1G74z2oshLaWgq0VD5zNbsvG1rf3+u+tdjQYKLO9gtlzHROy273VWk3U0AADH8+QyQ5yVoHXIsJqM2nrDRhw5o5lm/ysCGsxwDKZ+rQFxp7B9VZfbX5A9kQ0YNKU6G9aEW1KAUJRqyszcSp7TZ06YOGiMpoUiGC/+FAtCAioRaDZs9h9jXnmQqtYqxzuZackamC0otbVgPttA2SBYwcBsItwUUi331ulaKdZN1s/m03x8czbdU37ElxFfHMeSmHmU3Iw4UXtQVLaLmq07EgTNNxkcLft5fg8aEB2HWPfr16b6/tnm1EeNi7OBrR0WjpECGy8e2g0WAJAaEKNOvQzGvB55U0lq+3uvwSDoqwQAzm6wKIBCpEm4ZZ9Zf6O9blsoGFVBFvTcdVWC4sWoNp8OC02WJDve72CYLeVDTi7xDtONMXxHe2PM2ykWp1dCixfWhncFmMD+LqB0YG9JYsKMD4GlKtglR3yIeGr6Q7vple4lgFptyKHBDwO7JG6oGVigzEmXFMkLJXsC2eLhM1YPmfuhbpHMZaZRkDRz5c6SK/JX/1zbewsK0r2DZ8lZGIEzoarSbB8crCz3M9AtH3v54xGYUcdiZApQiOfqS82B4jQ2E0agcunqdmiZP143V4Mz7dnThlpS+JcqWpfKnQ3EmAMA8oUES7h1meB+QVA0yqJV4EegfXTFRIV059PmN5boLIXa18W+xkEYHndxdOub+nDepmNAyZlJ7i+TdYFwMSqBgapNd6OmygwvQekCpaHiPmd1fuebQ0IIEpRsCa26FtMfI16WYrbDQIVWkkxjlegiY8pmlZPjcD8OiDOzMAPJ8Hu1wnlQ6RdDop4CQiPbI11+lHA5d3YgbepP/d6j1aycl0G6KHg9BMBXi/YJwYYeY2o14ilUnVcnB25Y/BYR8Xh1wG7bxj0rQ+dIeO1wwBIZd6jCTlJFmMcUJE/HyyY/2o0JqNlue+45kgRZ+zjGdX5tWC957x7wOxnz/paCLSswO4bMeX1gDKObQ3PrwTza9pdZ1k6mLCWHf7s+ceQVTAkRdk7AOzrYrOPBJjfMrC9+wVw9+uC62vSo8sOWB8q6qRY7yOWN1RT1wjvAPufvH7nILcOEWXgDgh+CKeAfByM9mSDvxaEa0Y5jpjfjqiJzckdvfSF6+JOdG5qyxjEtSA+z2hZNoBZ5GkAKlE0FEV6XoBakd/s2eMN/XApU+hOqDCzGa6k64WlGPqcUJL1x7vQ45DMHa8h0pm3jHCnGgqdIMvWxrm2g8CppmpBmZrIRrpW1qHtejYjFEVpJzpYZ6Bi7YYi1hxwidXqHIRqaKZuCxj6u6HClolZl3TKkJXZ87ofSB1zYbC0R526I+9ZYA4KD5U4V8TJxDcuFU252hxFAC0bHrJi980V4XlBvRtJJa3KrIbVHgVY7dFcoENANhTc7zsfI+pA5clxcSdXERQodshVk8H31hetXhGk0rClkjZZ/jISPStRgIlOix/04wcAa7EgKECRwf7FGwc+kYbsQSySZQ/yLUXO10IdI9aHESqgAIvXzPgHhh8eRq3m1WjbOkRTAVWIUzXMuQ2z0UyNTtqyO7UHKK3mbF4hl4XCcIeRvX7tNeGa++/2VgPV5t+eG7ihwblYFX/Gw0EK79HRPO/ht6XCefByS8mzdR4AuUZkAGUIWC1TLgDyHLGzxvBN+MY/tm4yHua4SlEGcS8vEQIRgwEUNifu2Gz7dL90xhuV1YNUtcBLuzMA+GGu7XeyVjZd32Qj+DplG55rhsadBa79s729Vlsu5tACwPqKSCyFgGy+wyY4tv6tWnyeKufKM7lrhs4Lsy4hQMZ+DOgQKd5TCj/MM7n+exdqimKMCfwgAG6/Nwp5E3oDEM4L5DKj3h2AI/d9nC1wGwIBNwMXpCjSxwvtvQWoHkRLrkhPMwORXSLNEWiZZl8j8bxArisD3KEDelx/nKc6EVQja6iQ/mnBV7rwbKkpQCen7GsPopUZrHipzCxZT9Xl9Yi8D03DQKxuTDIdo7DLiJHsnJwj6hKBtTsa20BUU4CanoAsGciFTm4MBC0RgNHAh8JWds6gYrDAvSB3AzQCYeaY1yFgvdswB9Syf4VrbXjKgKr1su+ggNedohrzaQNkSFELwo1aGqVloDVyPDj2fH2ZQmNNeBBbx+48q9efAGj0PWFQhiiI59yYYU0fYVkg2bIv09jWqG40Hjwg1wDU44Dl7Q5QUsxvQGwB6pT6XgzS7rk53g4m2N6HWmCpypKsu9QYaJIrZIqoA0Hc4bkaWFDsvkhlbIEkpOluEHCRNg7sbGDrzmxgnSLPSA9wS0U8r1w7pSJeE+oUKQQXejC93lnrQ5Gmo7Du+f3DWZGkIu8Cf7a14bZeSVXmvxk0CaRGlH3At+kevxxnzCXh7jDjmiqu34+IV0E6KcZTtSxP9yUAjmF4usLZQxoCdEegOX54hj49I+FTxPv0IvDmXJRBKOCkvb48zrelHoxOtdnYru2hKLuAyzvaxtb60F7rJVIe8GkU6K6XVA1nT94waEkz900ZmSnPk+DyKW3d9F4xfaxN7FMKW/eE4oKgPes/PAvk6QQt5n+OA/QV12QcXwquWJbPns1Vs/MB+MlP3mM/rPjyX/8+Xv9sxelHCacfc/yWV32NseuFGrDETKJkC0izZYUjM6rVbKtYoFkm9pF19lGrQ67A3W8qpvcrTl+MEA3tmXmGWeB/Zis2CJouQN4DdW86A5ZI0qAdFFMgPSr7DG+YKl4md/kk4PKGmefd97T3r/8D9/Pz7wvmt4rxWbD/ii2onv8AqEmRTgyM/Xk0KZZDZWAMYJkH7B+u2H2y4m5acDfMOOcReYmQS4QuASUA6RrIxNgB+gcX3B+vWL9+i8PXGacfJcxvrMezrSNveZX3ivXBfO7CLH86cx7KJ0B5yIhPEfd/ERCK4vIZKeZlBMKe6uKjZWinj1yLl88i5s8KwoWCgGEBdt9xzc1vFMsXK3a/GPHw79ib+vo2GMuQYzq/BdZPMu3XJTKgfQLGj4r9VwAQsd4Jzj9RlImitlGA5RWwvqqkv3/HeZk/z4h3GfIXO9z99+8xfvGAOk5YHgTzpxXYF8yvI86n2Npf/WcLcgE06qMn2jxj2fp1Aj2r2w4Ec5L1xWcJIEFMBXjj2LszL0LaKACNsWVWYVkRbwjvNOf+/bCu1tqomyr4odgQ0Ixgqyf2bLQqK8Db+92iov3tmTXYWHibBc+89NdKQ58ANGluwFDGyAxXdZomQGNXBbUG1IUbJywmj2/G0MW2WGwkUEes4Q6IUYMNKHCaEm8C2FLO1T8vE9VnYLptQm+IE/y7N/RNz5jY50rl2IVVe6mKGTMPhDxYYP2d9ub2sc8Ps4lO3ZX2vFvk0TP7LhDxgzUY+zz8IKu6pSZu6wJ9jZjjRQBRWja4PWuULq7m323Omysr97HTRgV0evz2s0SVFFtVHsYmntWCaQAIerOm/b4FNq/FfhdCD1jUHGix927/+H2p0nkWW7svgrlGg1VmK7cBGT8EL+bWnommwbKdNh4W/JKGK9ASULcflw09lr4eg1PyWyCnt3Pn4+M/8+fb1uVVjl8TZmvZHXCfb14qG/r7zdrxDLzfr/qz8bOk0klXBWD7e5vZQuo1/o4Wa7N1m/EO6HWx7pxGQAbbQ4U/Dzb/BBgJxGiMEOlZboiwfyhsXdzsZw8oGOD2+nD89kukZUedoueq9q0li49jY2IEC/LNBi25tb/QWNv3sl9pbXtCQ+hgQ9uPutlb7lDpDXWWbes2+82Dsmb3+HqOre3toq2GnwBSz969PLPaHIk0m9/WBzbnhPZgUktAyQFLNoGQypqzkKVR+JtYnwOJDvxU7aUWcDthdrv6/t3YNhsrMaAkLJ36LZWLztlOfL09/2qTblTdtk9EW5lEB7v8WbFpbVLhZSWuRN0ACH+POdPdEbaNrmi1wCreQ9fmRpTZ1MhnigYKkvon1EZoN6RmWyukvqg/T4GlIKnbc9aEi5WUgH3E42Y+q9rY2GOMrI2l1gPaGYHa15r7IcF6V0tRiNS2Fpzh0kod/LZt7rYCS8H353J7rgUrw5AYIGkztoGAq7cDa8Js1cY5EDR4Sf0ThQlldbozBfnQs+3SA432eUALOJwWm0LFUiOuOeF8HbHOCfFiPWtbthzAYEw9D3gFpOaajdn6aTokyH7fSuEohmjj4bGeB+PNN/H79HVHB1s2LAb491f6IMlAVS81+4HPZ88LcEzKgEaf3o6lz5O6fQeaUBY/Q/oZqP39ZXQV7/467KaWydXBGBzuR4Rwc8ate6GLEFkrvd4x+Hz/fICIIhYG0FA0Qaiy4007myisAtkwVFqA7+vE/9jPKzim0fqge1AGy6RiMJFBU8cOBv45i2T6XptdqMP2e5WlFg6QjdJL/ARtjMpesNr6HS5otlDtNRR4ogaAgzlknoG034WaCosAZVTUHe2YRgaO9Z5qhLIGfreJa+UcMEtCrgGXdcCcI/A8IF7YC1ZHAlotK7wGXJcBIQD5YAK02efLbLiBSKFIY0PWBEhU1FFITgmAZDoFZQdUA1Tj5XZT+750gC4sQPoYbkpByNSwWvBzZP/sS0WdxLpmoImHtXIVs9dkj3L8va0iASDXceDrdWOfmi+1BpQrk1v5kzus96lRqsfvIhMTBdaNBo3l8ze5fucgN5Taa7Dg4j1qSCZaywCNAp3YTiKsCs1oWUfSdKRRhQG0g2fKFeHRkPi9pcp3vZ4UlhGJl5UHvymFxueAsKRuRGJg3YLRUcXv22qwmlGye6pTRD704RGl0l7rQ2nOjB/eTcHVn6nQONRBkRpCp43KV0ZgW1e67kkJiTORlnW1PmXVpLkjX18y6Q/xY0JYBLvvWLw+nBRxJSUlXBnI1sH6WPqamlfg/UceeLsJmiJkyfQ7nApkB4bPowqQnjYZdst818PAzGwIrIdURbyiode6cSylco40CFIS1MwMqqPZ8bwS5TfKevp4hVxW1LuR2VAX2Nk4j8mk9plZsKkbe6bca+P80ICgZdXrwCwva7tfwEFOe80FWwEHzyAxWOT/VxEiywApkdlqmy3zEZeN4zzFTvsrGwd/JfVQsn1nipt63wqv/+YHbYKjMcFbnTQqoI+P10Fa1gcpcu9sAr+WVS498GvOvzvMCQx0g24CZFv7QUhnVa9ZCyijWW97HentNgbuVKTArLRncT24M2cEVYAV0DU2D0BWc8ZGvj5d1ETLMlxsydcrYMFgGvicc24ZTFJTFbrNTlZncdQe5IZgVMENtbooYq6oKaDsE2luG8YJLFvr1F5S6WwPpWAiD+Y0rrQjdYzQQ2Kd9urIvymTOou4HdDC9jT+fPCDGpAiN6IrUpUiTmNAnANV6deC8GxzMQ3ANHTa8s36r+YchnbfrO/8LVFuBXQKWO8oYuelIl5nD5DpI854CGqMB0pIpvcnrvE1t3HXGIDI0oCu72DMicFbtwQGOrsEVEU5kDUUV2ZSJVfEDdOhTlRRd6pvcvaFUVCDlSvomFAOpBCmM2vxvPUYxkRmDPpZ4fRPFdoUimNszoyigLF33ImWLAhXgjhrEeQ1QnMAVoEYZS8908kan7hOWk2liTIOH68Iz5t5UEWYGXXp0DUB/KwqZqPiNZvTQmaH7keUiXTMdCmQrCZKZDoZT7M95w5hRFdLLp2pEJZNpl4oHFR2kcHn8wKpFeU4ok4R1bJtUlgvDLFs206aza7ozj9bY5GZc3kXjHLJc9B1IDQIRhsD3iz3oRSFnOfWLkuvV2iZ+5AFQTkmrMfQWBIagHIXbax4Ni2vEuYHCg/tv6OQ4/jItbUeE5b7iDRXTN8ZGDMEVAlWn0kWQGy23oHliuBAqDHAdAxt74Q100+K/H3ekSXkjJV4WhGfZ9T9gOXdHgpB+lgQTlfbc8wQ1ijQIaC8pVDR8LQinFceX5bpz4dgYjOC1q/eaoKH0yawE3aEmN5Th2N5iE3dFsqzvBjQlvd0dvPbjOF+wTRlnJYRH5/3WL/aI54D9l+zFjDOdNrLKFiPzFrd/Xq1Vl4B+dWea3JHZ3z4uCDkivL6ALw9og6x1x7nW3p9p8dqs8/FnrskQZ4cSKTfM1xqE1cLKxl54xP903hagFx5jhsbqFirLtcLWQ/8M5yZSdzeA4NYV4/lz8aPfl7B7DgaVVyU87e+YhCazhTKqqOgvLsHAJT9YMG/iaqWSh9buk2/fk4F3bAC82tF/mwFloDwb+7ZFugKXN6S+r//WrHeCU6vtLW6lAKMH5nhq6MFGYJejufamjPPZQAIfnRXZhvjlSrHZQROP6YScJyD+WJG1basdZwVr//NR8iX3+H8j/4A3/zJwI4d9prxiTahTBTRKjs7JwNQ9ooCtDpRtjgKVE4+mS3ZA+t9BSTgXBhYzm+AOqixLYDde8X9X1xw+skO9b5ienXFvB+BJeDNF4/433zxc/zF81v825/9mD1uDbRcZ7ItwzVg/Z59eY8rgAosr4H1nq8tE+9PvhsxPw7YReD5x9xPwwmdmi99DgiwBZSdteZJijkkrDNBtvREYO/8BWOPw1eC4VvO53pEW2clCMpbQJQ12Pe/VMz3gstnvKf5DX+XnoHx+4jD1xW7r8+4fnbA8x9U6JsFwy8nTN+ZbzYHgrMztW6WN4r5DZBsbRUTGNOoWF+x3RFtoYEedlwO3wfoY8DyAHz1vzo0QbF4BX70zwvGpxVf/y/2eP6jinDlutrmoP6663evyTUUvSFRBraxzk1b9kxTQLXM3F91ucCKf67XDrbv8OxCsp+tngVDC0pasJorHVd3PFHZWFmcy2/2pye3eA/uwBj6dSMYA2yM6A/RT1LY0OiiTp1sKGLgxL5sAcLnNedVtNM6/PIgAGBT6SKt0NyL6YPTXT0Lu8kGNiNvIIBK6ECkWlD3EhZpWT1AtFoWTUljFDGkWhplBwpmDxuaKv17VRk42fi2DI/07xcF1SuNeisGVrwU69jKlHvGuqOm0rJ9Nxl8bN7fHC30rLtliSBOuTVxqu0uCqEHkqH313SHoq2buMl+bZzhlq10cMYOwNYCpLUy6nPRAlhfnB6EOVLrY7vNvuHFZ9YKILZ76lL2m/VSlYyGbSb35aUKq2DqP5LNOv1t7/ltl6+X7SVo6Gb7YP9VoSDRD97jn1NfjFF7o9z8rAWwVX/wfM5Y8P2qMOTWbBkMGOO69PHdjjOYYVevp9GelVdp49z2g6+LYGI2Buht16ivdanacIXtGNEJ6rak2l6sYPZYKoABkGqBY1W0ns22ln/rKbHJBDg4yRpVO8zdMa8CsXpDNcGgAJjolxEMfO+J9Hpocbqx9uDWa6lb0PjDNhg3ome1O7Pywmy1LLoDHkMwyr/NLwD1+nSb4EZT36x/2a4rH/eNLfkBA0QsmG2edf/TxJTaWuS6ZmYnsIdiMZtUcMNO2H5Pp8eGPhaNLbMF5PpY6Cbl1AChbGCws0csyyu5UrOi9vV7Owl2T4HzvBWZbL/f3MOW/l+d4eK1t9nWvNfdWhDg49NAATOHdRT2ITVxw+prxUqCnHYqCqO8a19zpfQ/fqs2X7WxK3yuzLmMigoGgDVZ4B0EIn1Me0bB7a7Nvp1r3laoXQaGyYbR5u2hFHa2+NqzqEwBCzS1L62qwJohTtF/4Yc4mO6OcmOIbAB5MTsk1c48sxsAmKmvnQ3l7WdussAvr37LnM+kQFQEK6/KJaCUgDAHeKsXp+K6j9fqwhWNju/ndU3C0fA9OMTuB9o+8c4JP6CPt/EXSPrhUeKv9f3nqtZMVtRWQuTsNwywczxYZjb0fR5vx9v/XcHgQU1NvI1XuwFsfAQDKCzrVkeCO26P68SH8E4f7SwCfmjTfY8VQAdFGAtqZhY9XcxGJJBlZyxF1oIqvD0ShbJ4CvE+fsvcb//XniUUB63cD+52Uy2jCpjWRO37Xa4r9PnURAu3+hRuH8v4Ym3buAEMWHVQ1BIa62lrjwFAg32GsQ1qonp0XLqOSKOjqyCkigpgGjL2YcHoPHD4a9D98mUjtFT7a27mQ5gEU/NtPNiTsnFdZPM+5fwYqQgSK2nk2cY125geqgmIsgf1S4HKVusL3lucK4LpgXj9ryrXG9szoa1THRRxqPQ7Esfw5VWTZZsLY0CyVRUIijpWSLL4pXB9+T2FzGx4HUAl9ERqeFgF8VoMMN1DBwWWniT5m1y/c5B7fbdDMrTejZFUtLqKvAuGsivC0tUBoUDRCPFCaqfxODUGtWd2Xx2wDXZlrZCWke0UTorq+Gbv9cFqarVyXbHtLRhyAGb0zA3A+pW1QIeINES4gAtrcyJqjM0JkWwZSgHKYWhBj5hzSnVdc2aCtMb3oQDRFPnSmStoPQQ2w96TVlI3bYTyQVEnZlhwSVQvDN3B9Q2QrgQRrp9NVt/MmmfWwS0co8/e0elwWhXA542AbCN+z74Uy74MFuRFfilFe/iaeAG2Qf8PKcCgowkwwy/VaMO9LlqHiDpOREXHA6Tu2X7jLjQqjAoV2OpIhMdbAGDbd3QTBDcKi4IK244+Km8qWJZxvR8BYaY+zJkCDtaLzq9yNwLjyLEbWM9LwY5giFtsm+4miGqHpTmsLdvI3d16PLrDumaEpzPHcxqaxZNNYMSNZQ7pWoBSKRgUGGzJkvthZwJbdUzMIOTcac8euGWzrN4PdUgNmNLY2994sKaQjbMRkIfQmQDwwxh2oEebB2mOUiiKHMRqp4G846HUnOVUIUNlb705ES1eyHLQyGbiADA8GxiwmnCYB5yqbI2jm0DKl8TqJ4X/QIDdQEpv2dRNm+CJlyy42M+2BKM5rbVaNmvjWHsdrLczKYp4zt2mWYaGa4m16lR1Rs9qAz1g9XXb1hMAldYPtY7u7FqwO4u1xlBITQhLQLiuDNZtnrUGbHuBAsD6ekId95xHQZvX+mAHkg1dU723TIYHIgAQRrbpCaVSFMj2HySwDjn72nEYt//dRXNu95EOZHrIUjE+G03DbEqyjONNYGYU6rrjWk65AgtbCGE0DYDMc0NTQN0PrFl8XoAQUA4JNUYTOKJdda2FMjH4aU7xBmSq1jd0PVB1ft0L8lGsLYg2eySrACUAmf+OVwqteB1f3gfENTanW4q22n6ooh7GdiZ6uUPb78bwkLV0J8vGSwPBCURblxVc26WzWty5zG8OXObGxgoGVKJqo822li/+GSvrhTlnETqy/jMfqERNdX207PbWCWUG0R1q1i3WRPpbmTh11RzHuHAcyyhY7ofOGlFATNl7WDJkXvisKYHF8bzKPqFOzOTkXUB9S6d0eiJ7Zj2EZnt3H+ycuAtQCViPbDXT+iMnwXqXmiJyyBXxeUb4eILuJpQ3B47ZbGyzFKDRGE6rtRcaN1R0eEBZgIWZWwRgfb1D3kdIHiDXkayYrBDh+VQPpk9yzahjbMyD4cQMdJki8qcHuKhTmCvS88pxPCQ7y6T5FX6WMrtM4ZfLp8l8mR5YeKCVLop8FKwPVH+VU8RyOWA+ZqyHFXWJCEJgYr2jWNH0nhnK4awYn2HtdbgvSfVWhJWMFGlrzsQTzc+sQ+g+2SYIb/oWIdAObABEMoE8ODYQ0lTJ62hsBKPHYoyok6nke+sq9+ssG14GrkcXnFqOtraONoatP7y0Ni0exLTWQbsu8OTIZrH6dDmKBSEBw93QRDlRFXUXUaaIeFohz2fIemnr/P5nAO5hNa0Bs0yICqyvFPkOmL5jlhgJyCLId0DZVyACOgtCRcvghgU4flWhgW2PysTfORBUB/qUbOnDdmrxClzfCp7+kPtl9x0wrVw/y71geFZMHw2csoD18R++A/7BO5RJcPiSQXjeC4qDoypI5v/NKrh+yvV244AqkJ4FDz+nDVxsz1LXw8AJV/AVACqYvmd2sw7AN//oiJqAw19E1HFA/VFGuFvx5S/f4v/+7z/hGZ145qMayJYUOmaUO+D8uUJLgDwliraN9HGK0OgJ0OjZwwmYPjDTnfd2lqZb0MRVlEMWYA6oWZCeItuRCZ+5jorpszPFOr+7Q1hYJ58PVj6kDIapU8NWT9dPEtY7KkyjANN3DI6vnyjKXcXyEBHWO5RJsPt1QP6453jeK/JRoccCrVZOUCzAX4B4FgzP4IQGhewK0kQdiloJkq/XhDoMPYlhfr4UsIXQq4x8F/D1/3JCOk8oE7D/VUQ6Mdte51sg/K+6fucgd70LFEdy5Tjrc+iUqbxzJA6IqaOtjW/uIkaOnjVECu0Qr7sBrd4KfhBYEPZbMll8v0JQGj24BZ1b/9aR3aStDYasBZgXSI6QNXZHPQXkAwVKsJgaqFogHfv39rot1ogo0JCmlq3N2hT84sUFJ7jb6tgNhxf+66jAVClMkomEeIDE7/LFQTpL3pEOnM6ku0mukOsCPexQj1MbD6dVNmdP+70DMOo1n09hdVaxv8YPh0bVtDnvdAtHVDdBhgURFab0mSspk9Gd/NCMXZ4oIOXGAOgOD5T07Jt4couG2ng7QgYRMnPXTm+WQsXJMoXWCL2NSTDD5ctpiKR4CWmg3jqJYh09GGliEQCfTxVhRgtwGwoebu+dPxPIXKCnM/8djqRtWjAKEQgI5Hi9bgtUa4W6CoIL06RIoaVoVGv70h8EuOYgi2faXEVahMG4ty7xLJrfuzATWScHR3wPoGevDbX0Bt+u7EeKpx2+Se2w6WMThopSDOAoLi2PRvWPs2UEHc3bBkaeHfRMtj2XC3S1fe8/Sz0QbeNidcYtaPXMTFDIXPt7fS+osmdp0J6t3bZ6cUp6CtA0tP65daRi6bq3zNLY6WAEBNAz5hbstrHwYFj8sO7AlQvPiFrgVaVncI258DLABcD2AKYQ6gGWRvYhbz+rSkXs1DMVKub4BkG0GinMQGzr3TJui7R11kAku486JgKSxeyqUSF9HdYUkOaCcJ6BIKg7pgIaLX8rUDMFY/14plxYWrN9ZptXDZF00VkRTuzLrXeDBax2LuTa1XHtuYN2VVvudzSn35Voy2SKpb7WLYNMrQkBrKwlzNKziZE1a+wJTHsSFGx1NK/Q0US0PCtue8RtjpdE+PnowHHdeQ+TDmi1en+zfWEtaEDePjVbvp2nFlTb9zdl9QKKVpmSrwMMLiyZd3S6NLK2C4KW8ahiGeKVoj0AUI8G/gwdrNyyoJi1tQA4A6LNMKHVJ/p9R4o3+kVFZ85VmRiMhBkYn2GgDP2WdGVpBAEL2nynSQ6Pll2x+jhkUCeiVMicoecrJLL1SEvPWKtFwHwSO3vFgPTeZkwbgCbXlXPwekcq+RBMVZd10nwGAo3plJmpd39G0VoJ5n3EeiT12tvdxMfZkgR7aGSk5tnsrSAlAS1St/3eHbzUSJppvNJG1YkOfbgws5VjRBkrs1a2T8pOUbOw3byaGOep9DEBWlmZZ1Qbm+PFpVG6C1i2gGYh4DtEvHR1vSWZAw1bH7KOsfelx8angfUV9rNQ+nlU7HwT6+ag9rP1yHUeVtuj0u1EU/411iMBF/QAGGiAfbGsZ5lgZUFAvBD0qrvYgYl5hq7X9pyHbwqyKNYD1/zwLFY3Sbs1PEqfx2RBddINO4Pzm3eCISuGpwIE4Pq6Z981mSk1n3W9q9aGxiire8X6+Qo5Rxx/FTCcgPmNIE8M8NKVCRwKswrOnwbkg2D8SIAp76xUJ6AxBaj4TcVfjYAO2gE9OyfjAuy+M5Xj3YgyshcxabTeO7mPdboodh8rTp8HnL9QhEWw/5rrYn4TEB4U8jHi7i8D1iNw/mlmhaatawwVcSoYhoLXd2eUStG1cu12R5UBrxQGg5IJRqeL+fN7NN+VwDHXRZyl6QFJlp5tNeC/DgKNilfHC6oKPuyPrNnd2k7izBZ7kNY9v1aUgwL3K1tQfUdl7XJXMX52xjwfMb/iYhifSENeHrh/dSIzQKv0TPYcG+0+zsqSywCEpDjuF+zGFd4h5intcL1G2kxrLwXbI2VShEOG7gSXH/F8HD+asNWTYvd9QXnRl/2vun7nIDcuirpjrUMdGJjwcscFRk9DRxOMlgCpjbri1DzxIuasECUqKtYCwkWlWquiIZoxL8zQYBNkApBVb1DnFuC6kFG2erAaEPwzo0CmkU7TslKgJVDAJbqYiTmWTtVz1BGwDF8KCGuA9zxd7ng4xsXUias5QiOwvB6as5quaok+gU52EAwK3RXEXUGp5iQaoiOFC7hMgrwAYkFButYmnsAM9IAgRzok2zpPG5cm6gCgZXCNpqdh0/fVgQIYiBFwk8mSkn/4eTDHy9VWrwsDifsdShyYCbjfWa02jd38KjKjvachAnzt2AGhDAaWe5OLn33toNGVnAqXD1xP0Wp4C8wxPwZImRo1nK1Gei/lFiTZNb8ZUOPQvptZBmYiNaBlicO6qY90+qHVb97QlRvyXPt4A3RcXBEUYBDq9+LiUapcmz5fVaFSqJTrgasqD1y1Omp3mKxG1V/DL9kEtC7uAzoJ0ZzeRnf20gTrP13G0A7dbRBQk9U9L9pogRrYX09DQN4DTgPVBAJNY4UkhaSKIIoaK1y0oEZBEGMsXJRjbHvQeiwxePU52wpMtcH8oYMEVch1YW3N9sdOeauVNEnfL+rgDe3TNqCWECiUYuOEEPt3Ss+M10SgZL0LTfSi7DwbyjXuByCgCGYv2dKF66yVdgRH0m1de2bMnBM6BDw1y3GEjLE5jljN8d5Q3GiX7F52PXAtjVrGNV0rENIPx3PLOFBTGYfv2+31EmhRRTjsoDrQLs/MqOp+hIbAc+DkLJvUnTC/grQspttjZp47CKdD4rrYiuLZa+LZtQZGbNu+NGAyRdTaVVk1MLNQRgtCbT16VruYDkOj3RoQqQLUXaVTVoTZKKeUyQbFt+xIrGg1gipgsAZz5iOaQ9fq0UcG9VWB6PO7EA0MDgRs1/6GFUUUkL8PS2kK7q5IvaWB+/jHa6991hiAwVlCgjKRUpoPgbb8wJYVrTwBaDVncPqZbnwIMUBlEQz2NTUJ4FRHtVYimXWQ0XRAHODRIUKPe1J7rXZts1LbeEtFa03mLVKaQFgMyLtg1FHOi6vHpqtisG4DLtzFPRxR3hwQdgNJTKfF5iYBY6JdPc/AOHRFexvDchjAHvPWTcLZCcYEGe2My68mC26thnguBN+qAikgLBm731gNsu0L9nIl6FGTgVzWvi8fes25j3OZpAGWdaxk5M3a52+zlPKeAV3ZcdxQCepgoF0PsVC/wz9/AJCsxtTF8xaKfjllPljmlG36ZPt11vqws8dqEqwPI6Qq0vPKWnGR1vUgXHNf21bHqkMA1n7OV9O5CGvF+NQXiwPbBGsDNBpIOdGOjM8VNQounwSsd3LT49NbvkQRU/vtLIRUfX2jtzfy73R8pnT74R06ys7YJ3FqIAfAtSrThC2P8/3fSwh7/j4fFfnOfJOZQNDyWrG8AtKJbYviFdh9nQjceDAMA8Eg1vaI/VPLzupgR2A4Cab3lpwJ7DU7PFFEKu+Nkh+1BWNhUQwWC6xHjm0x5oa3Mup7TbF7rz3wi4BOAhl5Fk/fUajWe+qmC4PrdAIun3B/rQeu5/ktsN4rNNDX1Eh7DADnLyLWY0Q+AmWq0MgMtjP/8hwRxXrzHt1fMcZZIXqhVVCKYF4TSg3UW8hCmv5Cxs7wxPn0M9Xpyg4SAEC68qy43gP5vkKfmeCKC3D/s9jKOMiAcf844KufvwUUOHxk5p2lRkq9h5OBSRcYcOSbBwxwMxkmXsKRc7SaZc5/mfweaQNkFuiHkWdBdOCO+zgfFes9UJNCrgGlDHiswHkcUUpAzezrLEswOrzFNUsvw1x1oouzcA68/prAZ0SZ/2bh6+8e5M4V5Y4obZmYadty5XsD7N5/rWdwBQlo9KqQwV6BG1pImK1twprpjAKGegrqqyNKSuxNaLRE8SxUYXAgXosTAgV4DN1HCEZnydDCZvUQgY6JwkTPhd9nrSdQhIGQCck47asJqxTSi/IxYrmLdO4DN5Ybvjizhyyl4gUlhnaQxIWUHa8FpONLZbe0z5h2K05LgNTIsTQnWKOl9jOMxqEYntlzzx2SehhQDwPFZ+bcA1nAHG+HAQ09NkqcjumHAbArbo4ChWArmiSzeQpD6sEYABkS6i7xtU9n6LpCxgGyo3BC3lkLqsygL3+eiPQdgOUVPUM39sMTqSpO7UhnYPqIXs9RsDn4KDQAcK0BloW0oKmmiLgC48fM2gTvJ5tLWz9+za8iaqCjxAyuOQIW5LpTFBegLB3JCp5ZqRuHWZmZabU+a4bX2WkMkN3Ugw/K9rFlgNMsXRgLaNkryYBnDFsAEXvWNpij23rJ+jOm1DKZiNGCBRszv7chkTod0aj3ZWAG1zNWXW1RmyJkq79WgVjwttxxT7TarUAjrKki7ApiKhZzKyQG1Kitjg/B6D1nUhNVrC40BjpCQBfaCpu6c3P8eIMbV8kpxfPCIHYYrE2U9Ndl0uvb/vCsi3+XZX1RjTLu1IHGatgEuUGMOh4MpOEfD2i2apKN4qYCsd7U7CepPaCFtDXlWcItDTSMAogapUmw3g+QHJEutANi47alFGiyAC254yrNmZUK6NUofEAPuA00i3aoAn2P6RBakPkDBfCVGVg9n4FiLbxEaOsvDALKqz10iIinBeF5hcaNMJvfs9ABdtYN6eoVogVSotXMSaNDq5WheMAXrjxj6jSguNCdm7worcUNYLbZqPfVguG4aOtbXUZmCKtlctw2eP9BRECnirDPbBu0BGix7L3Nu39HTWj0zZD1tnSg1l5esmENqETUGBCDttpLWdZuL2ql6OBuvMm6irUkabjXkhEezzwH3J47COZnRjEKrtGndaLgoCsWlzFAE7Acu7Lr+mBngp3/OqPZRxecyrsOMIgCwcpSykjn2gNOqorSr0AApg9o5RBQC0iOI2RNCCJkvrQ10+2PO9JlFFzf8vOHZ8tEWIZrW1cdr6SYpotaC6BewqCJdbTzNAFvJgxPK4YvPzKAfXcHjQHpq4/Adx8grx+g91MPUgTIh4i8D5g+APFJexmGKuLTzDaMDyOW+6GBLQzsKuI1G5U4ID0uwK++5E198Rl0NzJzeyXQQbBAmsJtPoTWbgfq7A1p+zian+IlUV5OBVv3+QCsdwovtZAiDB6iIlh2Ky/ODbXgzwMb63dfrc0fjFU1eL/4ClK3N6wE7mPbw7Zf1mOwzCj9RjVavvg6Bc9cjYJyGJEPkb65m/eRwG08Z8TzYoyQ2AA7TT3Ybe0Qs2J45MJ6/vGE6ydMTNS9+1KeEQZgDrzTk70/cG3ziEbbpbou/byQe3BXB+4PqQI9wpIabH2FIMA4QEIHyS9/7wqpCfESUHcKPWRgjhieIqQKrj/KiPcr1l/tMD7SnxofecacfqpY7wqASEaQU5KFdZN1VJZg7CrSJTIQFZh4nWD6oDh8mzG/HujwWOBcB7T+yA58+3njKrya0NqvpQUYH1doEFw+SRQ2s+QZKgWzahSs9/yc3XeK/Xtlm6ZPvK6bZ+zl91Z88pOPuK4J18vobgX37Jgwr2IGGKjW0s1BZb2ydnV9YGukMBXEWLFWaetai6AGqubXKhQUXAOGJ2bR0zNw/Kq0jHUdsWGOoLGlkrFZTqMivJmRZUS8JgwfgHf/3Yx4LXj+6Q7zK2k+ZjoDw2MiM+Li7aeEmXkVjE8EudKszVeG+65LgBRnk9m2ywE6VFzfeckU/Qmv3Y2zIDwRXFhfsUbZk5nXVwr5fEa5RqRvB4gCeRUsAwPuMIdN2RdBl5CBeGGAX64EBDybrZHx0HpP0DPfCcoL9ei/6vqdg9zWuD105x8AGkXXgtwwA43WFft7y2DUA0dODdGGU1P83zEyePLMCSwb5oHIhvrGOqXQ3kvxFnoYLoZBcZmOEqpVfIsIyK+P0Lt9/37A6lCtDs4bwIs5/kMXI3LULe9D4/yTzsfeazRYfoDY2O3d+KPVCtzQVhREwwY7wE2IYSt6sRXjaYG3CTh4BtEDWH8mp2J3R5dBfGuDVLQhaqhoWV14y4RqTqZlUnwO6EBy7G4ogkNii4cNCgvAskWWhTB6XxlZZ+AS6n4A1IHfG5eeQWmovz1GNZEEV6vr9bKbdRgEGiwDvOUO+7Ns6Moa0IK5MjLzVp3es3Fk+fkMqMPKz2dGy4MeIDj6mqyXpUY6qpugGpYt9LUvImjqs8BNJr4tkC011xzSLUDB+TZHwpC3Vp8Z5BbkcHpdCPDewNsWYFtBEI0+pNLGtrXhmqzkIJmtcKcx9kMbfam0ALcNg6skbAOqyj3ge6/Nn/+pCmduv+zz2gCAzZjcvMbsQRuT7Xxsx9KFiURu/7y4GDhoY32oqXt7IOl7nb1BtcfIKylAbh8AB4FMoR2b8TBUVtSWrOCG3sx7sxnyod08i27WURkEuuvZ5Tq1s605r2TToH2eByxQ0pgDzOkPYOsZ8XIUW4NuL2ydyn7fgylb5wxIY888mt0XEWDFTSa3iVRV2khnoTR6vc2VC/sgmyChusNq2ZkxUX3VM7nS97ZnUbblEM02R7RA2APbZtsEDcQoOx7YMhXEwWhemTbC6Y/OAPFyFtJwYfbcAKxmJizQ3Tj/Ti3tNflo9bcoFZ5x1ci68FaDvrH3gH3eBqjsGf9KhpQpKjsIqnFja9DHpRoA4/V7ZbL7rDY3qwVPyixhqIAsbkQ2nyXOYEKnRmpfz40qngJKNJvubJmtbbArHwKKsYU02j4cmKHRQKZUY0O4LbHv60w0c/pVGoPBBexam7OiHP8m/qbANEIe7gg0ADcU3XJILShSr5v2m06hM6JW0n812trwLLvpltQxIR6PgAjKbkTdJ6OVw9rEhLbeANYs5p3XRKPpA2hwIZ6tLURnJQzoGb29PV+gLfNMlwiwLgm6hi5kk6V9VrZ+92Ehw8RVz5sNA5pPIsVA+rkgFntmJGO9dKPg55wYiKNHK3b1PvNrQTqj+4+WsfbSHs8Aw6jJvDff/4KqwdrXCPIhtjUEP/+dCTcSOGILGvaq7QJXtp7E5jCjCfB4ls19yTYeZmNcGIwZcOsUsRQDrzdZ6JUsRQ+cQ6qoVVBMawCi0Mr7XO8ZhA/P/J54FgCRAV9UBAiHT2x+AaNaB6STYPpAkGW9474qE3D+NPGM/35EmplhlcyAtg59PzUQSfw84b/XfUAyOi/AAM375RbrtoBV2hkpykTb5a37KJwXD8qRFHOOKCW4CwEJVkIXK7REYAXCNTSmjVTed1giz2irr6XmmTCLW4RJBRuXdY2ohRne1qLHlqgHtHlPuygmxNRE+VIH83SsXNW2p/JOcP7RgLAOBKFCf8YWb9k5rcEz86xjTddqvY2ltYoqEwH04ZHzHK985uFjQLlMt3OzVRhr9k/tjBR4MtPLboYx89gYUs8au9+WlKU6xkhlGRvtybzDBrDXNrfpJOxYM1oCcOv//jXX7xzklik07nc+UEK6DQJgLTuA8SO5+A2FBSP+aoY3XTaZRbVsgRodWCMwROhu4KH88RnIGbKspJ4A0P3UHU+go88rXycqbAYfKPCBLKRxGc25OUrzAgFQ3j5gfbOjlPxlZUA9rzzg9gMLyIHmvK53qdUdhlVRJmFTbZ8sELHK+81hbQGb0yLK1Dd4nWwhCAu1c44ISVGP2USyInRh+yCn8DrlJRTS0OJlpcr0fqAg1logT6z31N3EQH6KFHRZzUhGgXr7lbWYqqA0irdO3AzB2jPobmTGFxGwc0RjtOemI9WcMMu+A7D6MLTDpYwBl08SysRm5HlvDsddgS4B6RTbAq+TYvxAkQApBhiIgSVZWxAxnIHwnYlxvTKxEDtcnGXQggR3DKO0rH+PlPh6F5Chs8ZDo0z8HfuCeu250y64o9ej1dZZjaMHVex9NpBVMK+kEgPdWXQHPybLoMQm0tOUOJ12rNoo+67+3DKzhZRQ0gkTTZULMnlQ0QLECrlSuEr3E3Q33LRWafV9QzBRObR+Zk5pSjMRw5oE80PsFMxAh6a2MTQ6vtFfINoCXN0Et+5UUpGTVCenrouAjouzCax2y/ezGjDWao/nBXplTacMQwfPQmBmezOGDtx4WxukyPHxdi0OEPha+W0UaQfVhoiyY01/3odWb553NNhlry2A8gM+GIVHrcTKncA6cD+GrMAsEHN0NYAMi4jeesCc0aZL0ITPzH7lDJTecmI9BpS3spknjyLsvuCOIJ3lJgJUO5U5zrbtReBU2nTKFDZSJWACkMrotbXmvIvaHkyx9d915om3PBLbIzeBlQgExkDZOKmisL1NWyNFIXOv6ZUUUI4DyhSNohluAtmwMkuyHkNr4XRLewWzfYduJ7g/Od4eLOSjorxbEXcZh8OMKRU8hQmLCtSDqVbLBGtDUpsyKYqaE1u7L18AWGsnD+Tipqe8K8HXux0/Y1k5hhNFiqQqwoWZ2FZ2s2GWeBDW1K9LgSwGDJcKjAPWz1/x/NjoDbg4XU3MgucjacrrnaK8cs8eQBXUXUSYBbtvBeMjW8ONj6X1nRVVrNbqx/eFRr63sRZsroq14SkmkjhV3TCXSiunAYDLJwH1k9v9p0mhRl3UkJCcoWL2J13RqMkhM9iYX4Vmm8SEJOOqSE8L4mmho303tXUqVZFf76FvXQCKcxo/ngBVJKsHBUAhKV/7Coq3BYo1Tu9neDsz2gae1TrFRhPX6RMGYfesL4+XijgXlN2Ay1vaZa/5v76j6FC8MCOugaU+LIGQZnNb386VrLP1AZjfFrITDhkdrFSM04oUK06nHdbHEXKNFFjbZNRrJB0yLsD03RUoivx6or9iTDwdE4oJw1FMzcarFITdhHiYgBSsdSFBuLpPCJeMsBbU44jLF3tAgOnbBfGyIjwviAvFJXVMZIiYLgh20US96BOFtUAuawuQAaAcJwAj8j7g9EVkvfmO4CSCohZhCc4dC+rzjmzAdE7MpBmQtS1jSBdjfih/r4G+UB3Qesm6HyJZMT7xM4bnjOH7C+Q8Q6/zTaus+DFBnI2TKqb9ipwq1rdCRFSAOkfgUHD+aUU4Bxx+ExBnZkhDAS6fCJY3DCrEep36mTA8CeIsOP6q4vBn3xIQWN9ivY/48LcjLj+qGD8KXv9bzvFwZtnF6fcE188K4ilgfJR+ziszksF8tMsnAeOjYvd14boXIO0inn9MWjFs7zXbq8DlM0W+q4iXgOGjlQX+4RW744I4D3j+cGg2SIJiHOh3lExfJJwixg+9vEEqMD4SALh8BixfrJBorJcq1MpZAjRVxFRRa8ByHoAcEC+hxTL0lSi4VSbB5XNFPVTo1zRkNXXgf3lbUacKOWT6RIEtnOad4vITTsD0dcDwjOYrNxxKgTqS3Xf8teL+l1YuYSKRz18krEfB/FahbxfINyPu/yOfs1iAOf6KrNPzZxHPP+W4eBwTZ45FHYBy7PGeFKOJX/gZb+9PeB4mPF4SOwhUYfA9KHSqkDmwjdUsGD+QOfP4t4H8ezOpzBdnrfJZ7n6hePjLBR//1oj3/7CijP+ZanIb5dApAa6WbEhdHWA0Be3ZO1uMRMu7EwWgZw2214ts1E3WZItsB+n/tkP+RlzF2nwAgLzM8BjKffu96BmBQOTBMzO39wJ4w+7e4wwbmpO9Jlk21RArDZ7d4jh5QToRDZfeRkuqQRQSK1zNsBmbzW17RtJpRxTEYUsUFEXTIIc5oV6zthlzUuf6mAvogJFysqE2N3TfPrK+GD8fn814NeR/64jZODfaZsCNEdKXC0I7ktnq3RSt5YHHbd7QfasK2z9jYxM8cxMDANKZXj5JqwVphkgNvbWsVrXMeiUtrrXGYFxk61ARdEOFNOQY9cU6/S1j6BRaF7O6vTm9ee0Prm0mowXQwW+sv9Wd2Q1YtG2X1Fsh9Wysq1W2AE2Bmi1jkKyWU2zsYl/rZVI2SHeFwqgIoSJay4nmTxgy/gOb0DJMwEsl3pu1uc1E/VXIn7M/CtBqny2r7TWbGjaf+fLzPHP+2+YGADb7fVtz2eraDGVvW+4Hq29zq+5oWoAphQi7bg5k/7tlvH1YBI2Ke/MNm3v2PUg2Rc8sUzjNgCFf39F+RkzrBxnO9m8PNjeiMC1QE2ksAdHCGjlYEG7j6ePRskq/bf2r8kNF4W1PiJz3wOvm9dWDMa5npx63tbytyfUzwJ7HQcX2ccZS2GbG/HW06/zbRUmGWJBiQQj6g8OuMUIcfHNWjr9se2z5XDuLA2jMmza29rdGnnkaLaMd3PYbuBdCx/R+YCs256q/vr0GfQ3bFLA1Em7sAnwuIp9ZxNdj/56mjptZFuRqtwQI+ToPkEK2Wwp9TJjd7Vl4z2rerhF7jNT9lTqA3QuiUtVdwRYkI1pmYnt+tGyu2hkq2gG37cVDuz+fAigmspcEWO35NiUmWxFOP4c1Gihkdpit+2rP4PoV+ziqSGvJRxD4xab3teysg2DZOqcyv7BXcK2UaGduNVp+MnbZWBGHTcpKFCEowibVvmWb3TCrYD+znuM+Br1lpAlDwjLZxhq5EV3MMIVvtLOSX/vSpzO7Yv25VSMwDbfrz6bt5v78vS9tj6C1+dFw+ys10FbEfZhm4FsyomV+A/2XOPfvZZb+5WeiAQ9bCj1+m10Emh/uvmQIPdvI9wmTGAGABTJND2BGA3g8c9cyptXnDAiWhXNQfZudrRMP0eHswAjQSldqt7Etw2emSD2DaEGfpgC1uWl+nlGJX16N1RHVmFOKkLgeVQHN3ZBrVOSgkFBZP+vZ260d9zG2OQlTgQT6K1oDqts1FZTMelPM0TLB0ubbbYhTtmG+rdfBNkag+nzRnyxe15vNdxgq76udm6xprVFJ4XdfDP0caXYYt+eYr4VGX7b9GWf2yY5z+ME4KHNsDFbHyudbOyhAe8/PDRag9xhuM2dqmVwXarW5HncrVkmoS4AnTkSBuCriJSNeR4RFOM5/g+t3D3IjkaX1COQ7Rd0z6IzFAqm7jLTPWMIIqczGxQsaJcv7XnnD+y74oq2FTVMmXTMP7Hu2FIIrDxqVS4MwK2PUrCZGZQq1XtPL+kKjo4wDUCv0fOWBeH9kXcNaMH53MappAhAgsfPI41xY7D6xBom1iZZVDN3x0YDbbF+xdLsbRTNUZbLC+omLok6KcL8ixmobikasBgFywPQ+tIPCN42LxEimM64h8OCeC4UXvPYzhpZ1ik9XxI9KYZXRBV02jrAIkAsb1AeBeJArAp1Gfk7LnpND1sSNxgEVCVIK50kE2I9GWQ1NEdLp3FI8I0pENCxAvhpdJgGAYnhkf7d01pbZS+dq6LIdkFkQMulEVIXlmgrWokNH/ps10EqxgX1AvLIBfFMS3lzrQRCcjuSBSlLK7Qugg6AWQYg2NgHIGyqGFCDNaE5JsL6UTodqmSnVRnnrfXHjRnCmAFVZZ+cHvZ8MTjkuhWvDgRvP0AJQF58JG8+0WNsPz2IOrK3T3UClyZGtbmoUlD3HNe9YatB6TTorQQC5Aw+Q0Ne40269nkXvMnYPPNF5+1QGPAwrTsuI8zIgZ6LfW+PJvSVABuJiPQxLaTWHmiishPP1Nsj1KwTIwcoQvBZ5G/hb3XM3cHYIrLmPj11i9Yh62FFUpti8AO2z1TLBTYhpcCoXN5i48M4mcmJNja9zmDCJHdhGnYszM1d19HYeAs88bssAgqH/Gkmrk6oYnu0g9brlzVpvtmSkoEg90J6Ha6ApOJiSrDuBK++PBxaa7sLLqykm38yFtHEUEch57joIu5GZJmvlRJHBHTOZi9kSz9JfZs5Nii1zH85c+7obu65ACCxTybfBT1grYuDcUNDF17YAOzopN7Tl6dbBdHvuzh3AcSqWCdeJ4oEPxyumIWOIpQNsfk4GsHSiSMsUeqC3bW0iztM14SkHXeVqWeyBNcveQohr0Z7f7Yu6GN3tnvf1Kt7SyRWUPSt+0fZanchAoTItWM849ZZYrY5RbF3MgOzFI0PoIsxsPQekSxdFcfE6Bmk9OExnalmohJu5cPAMSmpjKBS762djhMxmH3Lfv34ulx1YO+ot+mw7lLuCshfEc0A6BQ75aPvpZBn+FcbWQcu+eeBSDgPqlBDmTAEps9EqgphrZzjl2hSWEQNkLkinzMB+ob/jbZqq90UdA7KQ1hyWYhTNATgOiM8Lxu/PqHcTrp8dAKFuiju6LlQ1PmsDbiGAfqDNaf4K0AKJsqPYjg59DNKZg1V2HLcwVBz3C4oKrlceBNfL6FsMsivMMURmc9IVJjBDpdfp0RkCFNiSIaDuItaHwdhyziLasW3hECFLpobK3lpIPc3cD8lKbAKgO/p+x58/kzF2HJDvRwy5Qs5Xrm/bH8P3VwyqpstiDrYaPfbNDt5mElVZd7ojI6cB2mY366DM4gLQC5lT8Skyk3lCc9jHjxlQIO+ZRU4XPn8+RFzehkY39awZQRezMclEkQownBLSaWDgPg5ka7jdrWaDDhlxKgihopQB6X1iRm7x1xh1VZkZlB2w3tv+y8D0QYxlV21NmW+zAMNJsTwIvvrff7ox+HzO8buI8SOZmqKwFmKCh59XPPwFacTLK66561sKTcaz9VIuXWvk+ScjtQ+uBEB2HyqGi5gQF32Q5YF+9/S9IH4VkffA/MaCrC8nXGRip5KkiE8R03ueY1xjFAJjWypgfudOB/8s5ofkzxb86N0jpliwS1QK/v7VHtc14enLe4w/23OOjKmZ7wgcxCtFuOpIhqcGUoKHJ66z9Y5MEa+HVol9vYGZ5N13BOSub4cGZJYROHyluP9lxvwq4uPfJmMxXbhuru8E13c7xKti90EtgOUaHp4F16cBUYDTj83/9j1vuipOHydwVIEI5F1hUmJXcDws3O+/3jHwnIBlABCA758PyKvVsjn1rgpV1wv9m+k9f3z9zOjTb1bsh4J1TgjXgJCtLn1lfLW8HjGeKt79q4CyCn6B//T1uwe5YjLVE2xzV2ATYYexYLdf8HxNKLsIFUU6d3S013p19Vl+cK+V9NYeTrnUcaKC8Xm5pWta83QA2LYB8WyUeO9ME6ZxqqGsCmgl/cv6ikqugCkgYnIxGmvObop8oo54GqoZ5SbYdCTK+fIgmEb62p12hBv2OoEhyBUYFOOYW2YLQENHpEjjsJfJnX+vBdPmyPDFAqk85GXTZqM5tmtmW4rdCBkitIp3zeiXOUNi6H8DEzwbbuicmrqvK6Zqimi9RXNBq/tUNaRtcx+wua6sC6qtbkU6iigmWHAxkRtDn8JiQW4xhxyAKmuRawodEd04RlT15qZn/XNAa5nia3BTk+lZ+YaI2dw2BFQAjQopATUDqNIcAqkWf659vrf0Pt9Hns3tQlabIK1lXrSh/k1kyua59fZ5WdvrAbOtDc6XOfp+HxbsAiBNMUZSuKwOzJ85T9IBHV/ndsg38aMN6ueoIV9LUEB3FcNxwdv7E0oNmNcEEcXDOOM4zP1nNgQ3ddQGIAj4s5Yh3GSe4cJctUI9w+XK1Jusa6N1b8dqW4fYJkf7uHpwDFAQrFYAO9LbSmkORqPSGureFN1tLJognx2somDGkv9otFUPeBrzRbtCqj0w/1vQgCJfQy7cw3GDiYHRIXCM4+Vm9/H1tgyaKtHoYMHJAJTkQAwQag94iVjrb2FNbAAbH+fN71od6LJCrzM/bqLTBmUWir26I4AMyQaOOQtC1ZT3BBLqbfCWWM/ubYTEs5gv7iGUyjPBx8vruWzPd7r2i0x8AMoA1Inj08STjkqhl1SZ5ZoK9uOKMZbN10pzonyfNGFG2+svVfBVDTDYDC1BEm1BqVPvvX98W82+9oEGHDcbZFltVypv6z0Arfdus082H7ZXQq7UU3Aau+t0bJ7Ja4t9naBQkCUuPMviqs3B4r2iMWyk9rZsIWs/62wNVqsB556y2t5sNtkAuJaBxubzg1GUTdGd92YjO3Lt1TXwdZvMmWgH6aP1Wm8MG5uzmgQ6BQxVe2lIjJBg7ARXq3c777dVraPENvj1+lCzq5oINIa1Il7tDDOKcnwE5HSBDKm1+Epn0qLrGKGmZBwXTwpY7d5MO1omtnZxG+TrvUyKOgFlT5DIs28ulBeCYhoy1hIwy4BapfXDlMZAi20/sfc5M5dpZk1pYwtk1iHmuwH54KA6TVUdA5ddJpilQ6StrQTiue4TJASqJU8EDsLHEwGDw2vkMSCljd3zTPvs5Ws7SBz6egnW03yUdi8aNnoUsllPwc9A89Uy/Zc4s94xrGh73vvchiSoEigIeLUN8DbY+y0INZvTMp7uf6gY0BkgKfCc25TNeFYwDGRJia3xOFNkyv1I1kWLgXgKLwvQoBg/BsTnjd+ztfeWmFjvBNdP+DOq99q/z9Iyva5FAwF27yvGpxWnH02sPxUwQTZUChXPAs1AmIVVRHeCsjADn66KdK1IF9aWz72nYQ8oPyj0HamxAJCeBCEL1vuKcuC6mz6Yr6fS66nBsoq6a1QNbK/d3YI3uwt2ccWrkXVEQyy45AFPeo/xYwciagLKgXGRB3WrK0ybLyvVwLZR2Zd44T5MF0FdpdWwTx8Z2LvmQxkpzFoHJmv2f/kR8fM7PP10R3DYBKCWB8Ya6dmAJdP1iIsFjwvXSj7y3E5nyhk2lp65JK1URJQ9b8eCccp4dbigVsFaPdPca2iXeTAbvfXx0QLXeGVLJ3YpUeSHgrgvjf3hWd5gzEA1LYGwKo5frcjLgr/J9bsLTw1E8ocnABqgMbFW8WjI6GnA8zlBskt8sz5HVkfyiIzPb1LPytlEtFq7Tb9LqQp1sYyt07QJ2vzyABeJGSFmbZU1dCluAr8AvHkFhIBq9R0oqwVoBeFC+fk6kI5RpgiI1dd5k3uTPfe+flvBilYzRGo6a4AOHrCaA/qQm7rsbiCVLVnz+lyDHRgB1VqdlB2DpuHZUOWrIeGu/qyAJIoKoChEGPS54wOAh/80Qker/ZlXOlAGHGjrH2pRWghW6yw9eDJVTohAkjlknpW0GkkARP5h96IFYS5U1g5iiJU0BzssvjClBZ/pxE00PFKFujEBqrYMZqOpqTuJvhA4RqIAnA5UeqAQrFXLDfXrRSZXPVBLNn+T9mbg8O80p9tEgG6om9vLnS+lo8IWWeVmPWuAqd+qMRaWfk+qPRPrAddLWpYHFlFuftZQ3pd0WxG229h8Bx1stHHcUr9IOXbKH5/JxZN8vZNaQyTTlTbTccUwZhx3Cw4Ds57HkcZqqRHz9YiPlx3O1xH5kjCeBPHCpvHpYuIJK53LeM29/ZKvx22wK8Y8sABec6YT4MGntdNq2fAf0DhrGwtSscINCMehEzIdrrkF1gD+B/b+pOmWJcsShNZWVTM753zNbV7j/twjPDMygiASsii6RBBBhCqq+A8MoUYMYMoAAQY5IRnxB5gwYcCMP4BAUbMkszIFErIqM8PDw9O71917v+Y0Zqaqm8HaW9XOd69HhJSnMHITue/e932nMdNm6957rb12SzQ4miYiCJGBVDpzfWYVYDSxB/efKmtXmMFXZnePTBSFlchPvLD+LqwRYQ2oS4DU0B1x6ZlYX7dQ1swCFqQ4ulcto7Rdm+6oJYVM1iKhzbsJ86yWZQ/d0SWbAhvRHfSgMQVojZZUqa13N39nqPc4ACPbrsDssk5EGKVWYKmQJVPFXaS3ffLkQwytPvqqHCVTa8AKhfuz7BJturImPwhrD33tlgmtDMWTW5qA9cbE+ArnS5Mai8GCpkgtgTjRng9DwZgy7iYan++eb9hiIgfSY+eA9MxgL52IVoS1qwTrEICiiOe1r/cKJp9cxXscmh1uAa/rTRgDqq3dNUOcsWL0fFKMGciqgDWsxzPfPw8c11q5D8YBOg3NAeIceJsjoqlVpI2d15kPjwLJY7eJlUyFePEgoF4lSNKlkN47xibcF42pEDLniQJuYglSrjcPspOSeVWnhHCzN5oir+Go0DOTNhoCx3hrQq0nPQMTEz1MzPd47ZwkbhYXCYMFr8XFi/xsS5Ho3+0EhMA1bIJISIFU281XNzr50JV9IWRoxaxmYgJc5wKqGJ4W2rO1QG+oSB4sAGddqfX9joJY6OTXQVBeJzKebrvTnA/absgTNjqZ0x+ZDFluOflhV5Bixd3tGZ8fjqgquN/NWEvEw3mHZUlY5wQ1RlaZeEYMT/yCYHYNApT7aUPXZiugOBeUIaDsXCW59KSmJ1kWs7suVGesJIlCrZAo1GyxK6zGinh9a/vDzt7MvrnwBINu7uVSUIuJTRkKHyuDoOGoKFZ3GRbARRmZgDXNGWPkxLO2AOjyxYjtlRERbN3s37GFzbpnkj6sQLn0INsppWwjKVjejhgFDOY35nz5csXwPCF9s8P8ZcGbn5ygAJ5+mLAsgerP7q9ot/tb6nUlkRFhBXZfh34P9ne23q7DMzq9ePI9zX3z9AdxU9+uuLyJyIfA7gKBtjQ9EnxKx0AW351i/jIjnJlNjDMQCvcpa6B5Ex7weynP/Ba4fM5E1O5rvt59tnJbke4XLGEEObfqeWLu82Ln3t5YoJnvf/3ZM14fzjguI37+/g3GlPHZzQnRDNYQCsa3Fzz98R4o0liD9VCBoJgX7uGwstZZBWwFFX1MaCuX173Uw8seEc3OeWIVZk+f+e8yCJ7/9DXme6LXPKOlBaZh5jjNr+hb+LyFzPGpE880PjD/On8huHzOFkKSgQBFXenf6jlhzQF5TjgfR9Q5IgGNyQcBwkWg31C4alhkk7yVluTRQKQZYjHkQ0S5XfHmcMbxNCGeO9NAKmuZ8z42u1TmCvzf8Nde/1aCXDYX58jVxD5e9dUMiQp8OyEdxQK7CkmCJbKYmAXnlPrOO6Ek/2NpvUrFHCJse3p6DcvKAKshMWbs2fdWTbgk0vEZTJ02RgYlyYUFiHDqNKC+vqGwg/Cz4pKJBCObuhlrQ6pIO3TLJMj7gGIUxDpww9cJ5Me7c7lwYsuO9Th1RzQLFZAlAAG4eXvGF3fPmGLGIS1YasLjvMNaAy7LgIzAeqOFB3c+KOJZsDeBklabmt2JFdQarL2CIbgqDb3ymti6J0odTivC8QysGfXhEagV4fUrJga2wZf1qGwHTa2kaIbQUDNHExrFcxxQd+xXJisdl3AhJauOkeJjqi0oJG0N9CiU2azhif3kpsdKpb0WFFhQ5cGcBbieKHHDGlejk609y99qufyzyqb2bZs42az1siOVvB36LcgVXNVebDKuLy+v05bI8Witl9xJ9cuDMV//WyRGxETCYl/7WwS3fZl2FK0ChJnRUEixFkI6JOiBAilyWXtSyRGel2PhPYI98xscrUXzfOteofuCMBTc3s4YYsHttGCfVsRQMYaCFArGUJA14JfPr/B8mXCZB6yXBDlHDM8M+MYnOv9sv2BtVUwQDkBDpdtafSkCVUhX1ESEmFl6c0zXlUJ2w8A2QrVClxVkd1T+PU2Qcexj6k6WtyhzUZ9sReGOINu4BaPFaSATQaqg1SNagsT3byjgc67Wi/MxWzaVazpcVlIwU0FYoom0pOZceQ21B2fUAgA093qzxqJwdkBbc4ArOWpSxLFYjoO0I1eWhATEyjqgmvraj6sH45YE8O0R2S6BDik4rhcGfTKS+lpv9qQXXjLC8Wx1ygMZIpYIknnt70upz4evURdmS7E5rpwLa4dmiVJE1izmXUQ6MdkZRBBNeM4F1coOLWlZB0WNQH5VgKCQSzSndoMI3maEVLHfLxhTxm7I2KWMIZRm18/zgPk4IphQSQZpjPHMteHCbZLVxHACAioTKU6HB/is1isSU+yIrTnnjeXkicbdSHX7XABPFHi5iaHSPCMsKfT8zLUxTewXv5ug40ARNaO9Ol2WCcNq65xOVvHaMw9yn4DpPW2fO8bphEZDjLPdpysInzPCnJHvdyh7YywsCmd5AUAcejIHMMdy8BZmgKjVph4maO7rfDgp6hmtJ3SeHKKlWQiXgDAbY8od1kkhzlyJQnVPtXPX6JhlDJb48T0oDQkv+wE6BKRHJmtgYkeu5t5svKC1IvKe5AAY4GWDNCzQ8bKi8HCCzAv0sEO9ndh2a2YC2kWpJJni8MoEYZ0S5tdUv/X2TtWSuPBODqKItxnjtCLngFoiQiy4PcxI0YJoUbzdn/DV/hHBnP6lJvy5fI6nMOFhTpALn6HuK1zB2KmQcea8rHcD0fETBaPiceE6OAxAmEhJnksTX/MWMmI0dO5vYbsg8zvgYzhSOLGxNoaA9fUOYS6kOXvJTmOiWTKpKEQF4VIoYHdIKEEaC4xBJv1f0sel+ZCwpJ9UbYhpKM46ECx3VHcfrN1LjYowMtG2e7dARRBeJ5SByKtGpa95ILthOGqr07y8iQjrgGFrDwG8/uIZ839+j/ufKt6PEfs/XrEfVsQfKnIN7FlaBct5gJ5cDPTap9HEuu64ALt3Nlc30pKbZc+EZzqypOb8Bc+JZMnp5ZXg8iX9r/EDff86AEu1Wubo9oH+nrfveroDps/OWC4DlnVCvBB9liqYXwcs9zC6tts9ABVY3hSEz2fk3+zw5v9DH+r5D1ibG+9WfP7mCY/TDqdxz1rXYzTEXREq723YURk4S0JIFf/NH/wCf//+L/B/+c1/Hd/++hVOIxmW08Dk5RQzfvT2Aee7E9ZCn702cIpIZx0idt8JXv2sQEVw/AEV3j0A1AFYJmMz2npytiA1UJw5QF8hHVmakQ+Chz9K1sKVCVgvo4snaaUF632fVgAYH0mhXl4JlnvzqW3O588MWT0GDA+B95QArYqKYGgd590bdTjyD2HiPh1NO8dbC9rrGlg0Wks55dzLCcg/ErzdHfHreN+Sn574XO+sXGqgD16d9fDXXL97kBsFmBxC580jKDSzUDxaNj9kAU42WAuNQZw5SduiaxexauIBQwRM6a5RZR1ZdFXTTf0t6xfRqbF2eXbUkRsBmuKqFCqmhmwKKiLWT22DFAAMvEVavbAM8Sq7Athh6AX8/vadOf0R7fCIppomoSJGxQ/un/DZ7ogkFVPMOOYR5zygqiDXQEnyzEyKZGkKZ05j9IxoWKmgiPqJoEf6uLK202qwnGplTlFzHq2esAkSAQx6WjZIrK+oR4u+ijfB7mgogP1eQ+gUvFzZismEtNK5kntvaHi6qLVyQKdLBBr7FkiakwHLAFOKn457XMT6FVvW05z5T4nLcO0JaUZbWnUbO1xlt0nfBNEkRSu87z2g+/2FbBvdxTYsm8m6OumtsQBc0Tq31FkPRF4EmxRFQqccbx1+O6T74tT+9wsUV6oCXsMXBAimbruprfOAyZ1XdeEWy867mEITNpgK0i5jGDPeHM6YUsar8YxdzAhSEbeqGoXBZxBFyRF6iYhzz/r1BEKvUeRYaKdub5/NEettUiB0mvG2vZKEwODWg9Nq9sUzvTV0mqt/x4v5aAi5awJs52mzDaUCaa6WuQ0tix2aneTrvT9iE1czJVZvAya1kqWRhV/ntd4AVLj2t+u1CXbYPmIvU1eQ7vfK4Ij2ui6CMkeiWpbtD4uwr7hTq4xKdCU64Z+1md4mTNdYJAJMVrPniRqgr1cfw6IQbOquVTlXPs8uFOblJz4f7SakzYEnTttVrAY00EGmtgL1FZp4imwOb798Gw2VGgxJgbEiDAWH2xljyvj8cMLNMKNqQNaAINr+DENBHitqFuQ5Isz9AOlJMgvmsjIZZgGvuC319ef9oT32tfPLmThS6nX5go2ZLivPQwxtfBzZ5/pS6GAtblyJ3wPiDQtGrEREDCVvtakrg/VSaVtcdDEUjmUyVCrO2tD/3obHbKvRoqWSzurlTOpBhL3Wg1AI4ErVnmT0jgey5F4vDzrp6wHIO0VN9n2QhoKpqZm607e9mpgLNp+/Y0uWtv4yELS2GmNRBmjqvdFLpRAYAA0B9bBr9aS0A5XnYwpEhu2M5B4srca2sZc2JRiOzIsnNj35J/TXRLiG6hh7PakhcNXFZAR9TEQRLaAtAqRE6v0QKg7D0qib9+mMVSPOZcRaI9d7oKaIBlhS39RS7XxkDTARJlLRFenINeZ1tTCdET/jrnyQAGhyBX1LkkxDFwKcC9ektcULKZAhHgPNexTofoDmiOBijFtRxhRaUK5DMFuqDZHse5bBcN9nFvSazY3eDqxoo5LGxdeGrSu3Rwors9r4axbAwaZEpU3Q9fUiaXm6DJBJMb8VlgqZPzmvqSUttAK6RMi6CdCB3uNXuTbIntvcQ+Q6R4UlSujHk7GJVqpXJiDfVJt3aT2v64DG/tEIlOh7Fs0nmR8nnj/KPTm/YT9c3+MamKBpftYKxFNAPiXE2lvx1Elb+815TSgloIlf2XDlW64/vV9x2C30vY1VeSwj/vzyJeaSIEOFiOKyDFgL99KaIk7rgMuaMM8DlqeR9nAgGOKIvkbg8io226HCWlycjSHiHVrcV1S7RQMR8k4wv+HnHFbqvBBk48+YZOl2KM7SPgvOGm3J744me431YIyDOghQoyUqPJax7iFn+/cA1J12/1wZ3Hqyx+c2mZbDct+VwtlZBz1Jt5K+jacBP/vwFsvDhN2Zn7vedF+Tn8kYyBNnf931uwe5I1Du0ArXy84Mmh3cks05OgkGF+KxYvrdB9KTy8RWA6Eo6T1BEQyxLEOCDgHhnBE9K10KZFXUuz3qfmBt7ulC1PZmT2dgzlTPEwvkUJtTLMvaHeNSgEtF2NYzwYxgU1k1VOuSKRoBQJSiU167xTfZYWFOfztApsrM/0IKlOwzvnj7iFfTBf/um1/iVTw32sOqEZc64DHvcCl0QJYlYT0P0EuELKRQpWdbFOBiZfa/Ip4L4tMFqLC6Kbs3Q/6cjilnoiFBBDUkOpCrNUw/7HlQmkCXwoJbC/6Y8LEAcZdIB1srwmnpFPBstKn92A4gp2dVC7LDvLb+wlIU++/4/ecvRiw3guGiGJ8Lyii4vA1oyq+DibMsPaMvik79XatlZgcMdjDFhfS8vE9N9KcFuXY2RUU/PF/UcLXaPAG8DhdZEJ9jNyIgah9W9FrzyvU+nHzdoGXTpVDkwgW7KMNeWiuhlmTRcE2l3gbfTrn1wCtID+yyoYxOtVUlmqnKxIYHehbcydOJgcLdATpQiIyOkMD7u5WdUYUO1hZlpAy+K5MiKEToUO12K+4PF9yMC/7uq69xk2Z8PjzhEBbMdcCpjrjUAe/WGxQVBFOiLJeI9CG1LJ7XwFGMhUmc1ioogPs5F7TewLlA56U78c4sGAM0Z+iyACFCXDjNhLZkXnt7IUv0KPCJMdxMuNcAW0uVRovbrJ+myA4glIrpvVEHdYAY/eqq9kXpALlzH9ZKZOPx0u2WKkQTmgJ0Vgi6IxiX2tC25nt50OvaAWNESJZW9cexWmDu9YAM9rgL3h7oYkmdbPTnitauyPeJhg4GOOrGvtCAruY/W9uOl5dYLWnrB71mYAXZDmvmXN3uaWeejtBSIaM59ik2RocW0FGK3BdSK3DJPcFmQQdpqNLbOx3IzPFn1GBJSk+2AIbCA9hVyFCw2694c3vCLmX8+OYDbtOCv3v4NX4wfMC/vHyFf3n8ElUDlhqRpOB+f0EKFR++u8Xw3UC6uto8VliycpO0m3m/ul2Djta6yN+yMgm8G7ug2pCgwRLA/tylso3W8cg1PRXIMDTGhuTazga5PRCBP0zQGImQLStkzYhnQ8WN6lnDyD2UFREFkgUTgN4T2upazTlNJ68NY+CbTpU2UdH2jWsqhFwxfFj5/8Y8KqPrbBCZg9dIdpNJxHgSjADk/SOwnNs6O/5QUD6vqAd6fq5C2xIYo0Klok7CcoBsDpy1comLNr9FRkGxfu7JmCbxXBDn2loYoVSE98/djqu2un2dAvLrCSrCNbkW+jSPR+huRJnu4WVDshYKUi0rMA7Ibw7NvmmKZrcj97wHX6aLoTGg7MnIkD2TOXnyntgsMdOhQnYFWgTynPhaAGPK3L8qGFPBm90Zh7TgT2+/wVfjB1QNKBA85AP+1XKDS0mIoWI3ZMRUsA5sGZKO0uoBpbKswuuTiXgqpu8pulUPI+pIGxEvFGnygL21iEsDyoGif/G4QgDUm4mJ/8uK8HyGl+mICO3wmFB37MNdp8j3V2UZiLHMwrxa67yhjZsr06MSkXXx0bhz5wCNCdDO/pmB7nDuDBd/b3rP9bi+PZCObW2z6iBY78hwa6rt6GehA//XWgjo7LqNf7C83yPeVTzdAPJ6wVoDzsuA89MELIH6BhY4hNXmwQLqeJGm+7LeM4h31N2ZQh6wzLfA+Sc07nKOfN9IhuZ6p0hfnLGeRsi/GREvivm1YHmlGB9MUCl1IcvMLpMEKf7NCK93rgk4/dGKcMiQryfsvgkoO2B5UyGr4P6nZHxpCJh1AAQ4fWXI5o2JJSlwPE9Y5wRk88eth2v4wQVfvn3ELmXs08okDRQVgq9Pd/jF02uclgHTYUXJAZenCVBgOSSkoWBZEuoSgeeEw6+4bue3lSKyswlX7RXPPxFbQzw3p+8Uu4eKvBMsFpSXHenJnJAe4C6vBOc/XiCpIp13GJ4V+QBcPq+Ii2D6Thow5O/1Gt04qyUFrJ3Rjm1fpQLjA1krh99UtnF7CtYSi2u3JmB+xXgnXqiJc/xKcHpVSEE2qvf0XpCO2gQs4wzs3pMBdfwxsHxWsPs6YXyweCIoUATDkcj0/hcRj5c32H8ImN6zRefzHwLlriA9xlbjnc4b+v5fc/3OQa5TZqq1wOhUTc/sgn9Xz2z17G1rj2DZnSvBEnFuOulakkILQL325aV4yJXzD/SgzH8nLmQBNPpuQxBq/7ejYJt72X5Xo3C6MbOs8VUNpsrH92NjFJIiCmtuBykYLD0WobjUAatGZI2kk9SAWgLUNqN4MbZtkFD6v1+213DhFo5F6GJURtNEVQtKwzX6arWHpALXzedp7zUcwtXh5I731ZgZCrjtiwcALm5CCkZojrBY+5CQieA69RHomZ8mXV940MCEbproh4u1OPq1WjDk6J+vA7mmuHF+AC0bFsHmMj2gbjxsjq+k7M0xbk3ea79PR9B8+OV6aXx8+fdrD1xe/vzq7/ri7+3n1PriR5vPePnnxXM3ARjpwiu6OdOvisksSJVIxCqlgjEW7NOKKaw4hAWHsOAm0Im+GN9pLglLTVhrYGY0i9Xry1W/146Qf+IZHX1/uQ5fjJuI4KOh9/39AtXsv98wFV6u8e21/Z2zH2JopQEA4EIznuX3GkNHThzRjRbkBF+3jXJer+ZcpALF2BZGP/bWIo5sSOi2tKO7H69x/gJtfXLM+xrftlPZMhbav339fGpxm+PE8+DF7z0Rt3XUXo7pC+bB1Zxtafwv5+FT1/bZ1Y335tf27Ny3coXEb5+FLwZirDgMK27SgtfDGbdxxl084ybMuI0X7OOKpSZcfJ2XyHW+svZMVjSU56Oh2zA0tiJUjcXgPWudbeQCWo7oAvAWQLTn9v5oJTyqLDN5yfL4aJxfjsHm9c6iKcy4aDv3+UwhAKKk51dPWmWzz1ktcDRlfK/JBNkGAun6CaKG7OP684vadPRAtbHCfOvWim3tOXvQ+xj3+ZTqNcl8r2Rpaz9YG49WGlQ355H9aYJAGyaZq5izlGrjZ7Q9bYfL1p0RoSZDm4Pfcs56QsCSlg1JVkDR59Lb1Xnw3xg6oX1hQ7bUAh+fc+9dHgSIkTZ9F1fsIm36TlasMNgOMPZZxCUnnJcBZY2QJVjveEsU2DO38TOUP5SN+djYOe+xLf78duartZD0YJ4MBusOsBpjb5NYQC58LKdMG2La7Eiw3/nP7Wfq7qLbL2MVuqBo6+qwqSbwtUnftpdPed/rqxZg5gOFUpms2AiduV/d/AlDezmnfS2wbCtcC08VK4uJQIiKqoJSNw/kdt39E9sLopx/UvO1If3rQdo694C7CXD6YLy4pALrkhhUX/n4/AC6v4pQhDXvozZUMs7uwgpkANZqzCUTX3XhLwlM4mxrVvlz9L0VYC15ItQD3NyfXUQbu6yJH5khKTVgKRGlhrYf/KysKqR9r4EMtAuTOAAQslhNtTTtjTLyWZF9PhlMxsBeyR4gis+7dUhwhiNW6vNsbVG7bL14RwYXR/Px4D2hhQAuIHdlx8wuBxO+os6Hsf2cVdDmENSiMNfCn4cfRNvd2bn2+qDXtmezHPpi7jbV/8FWS7TJV7HWX3P9zkFuuihbGwpYw3LiDdRBbbCv6WySgelR2wSVkShVOvMgc8QNABdtYsYxlGCIVwDG1A6KcMnMZpsyLNYMccUnEdKCzsvV4a2jrSBzGrdBhGdX6Thk1ire7Dol115TjVY0nCtKoXBDHUBHdbUFZZOhc2Q9xX1BOKyYdgsUwOO8wz9+9xOMseCr/QNeD2d8M9/h28st5pLwNE+klVwSZI6Ix9DV6mZmk6eHYjRfCnZBBPl+BymK9OEErBm6m6ATRV+Qaw92VSHPJ8hjZVZ/ZyiUO03ZWl24eFc12f3gIkUB4XluQjAtM+3CXiE0Q66uZmiq1PluahlUikJpO0CGx8z+XBYQhBXYf2cCPtUpC9VUlTfCEx7sAiYepkhPJm4TxKjX7iTiqh+grxeNinqxViSb7RHWjY9UObdShOOjpkpnrTJIje4Il7dx4cbVdj9Oo2rCF37vTgvM5sDOC3RZSVU0imcLoraXrWc1pFGmkXVJ8wI9nYEYILsdX5szUbDGoZaOANm8O3rPGu+NoXLqWQaCnR6alI8QFcPNgmnKuJkWvLaMfxBmRAcpOIQZT2WPh7LHu+UGf/74OY7LiPcPNyhnorheizt94PpIp3plG5ryrAjRq8K1qctMlNpqMtUoirKbrtqLXSnsqjnoIfB1pbJOtyodzWiJgnlBo8a+DIbdhlhrJ7nQ5ujtgSI9L8onAGB4LGyNkgRlCraWLdN/ylzXQE84eWDSai2J1EsurS2JmlgNivWoFJDWHGAUZVwJiDWRLd8CxffG5gD0huzFVVj7gSSZdKQrZVyglQCIJXhc/EbmlfZ6G0wNrJcTQwmbLQHavbko1VUC0uqrW0u4IKx19PXsfzen1RgT3qvbk3RZEUpp5wBr0CJKYQ0YhLVjeadEW02spXpu8AZ4M53warjgx9MHHMKCgIpjnbCTFX+4e49vljv8/PkNnuYJ335zDzkmjO8DM+jWOoIt9TalLj5NLta1UG9Cp9Q6ALQ6Qt//V+txM3YAx9cQwPD5W54N57Oto9pbmr24Wn2iz5edyxS/ihDhvMbTjHqzQ3099fqxIB2V9oRk7q3anHoc5oxwWa9suGyDaxF7X2nzVmNAKDz31NRv29p2B9zfn/NVCyEpYsImn3CBFBS/WS3oMmVoT+Y4zTTOvaWJC5YtdxF5Z7VqsxgThmh0yGSg9SC3thZZYbZ1P0TUFFDuJtTbES5eJaoI5xXyfGLd7esbnm+PVHjVFFBvdoDpPGwTdnXHc9br9fNeML/iWHkCNp0AIJoDGonufr6w7UysuCwD7g8X/ODwjENa8Pn0jClkrBrx9foKFYJVIx7yHkuNOOYRv/76NfA4YPgQMH3o1NcmUFfIcBqOPMvTiYJcMpvNvmSKC65dbE7HAU1cShXBRf9caE0E9X6HfDsgCVjmUJS/qxXy8ARdV8T9HmE/QacR+fWOc7ASya1TQr0duQ6dlm8BTVjoa5UpYHll8piVAoHRyn3KyNZCzlRowI/tUZYCBKxfHPij0BM5kpWCoZaULBMRveHMzxqzYjwy4b/cBpSd9IBmDDxv1o19d5tsAeWSjZmX2A9azmwlVBOFmWjjec7Prwp7spoSetlXnL8iy/LwS8HwyDrP5TWTgYefJ2gwobKARsk+/EZQv98RHTY0MS7A8BQwPAPDcxfyq4Pg/KWg7CrCbPW5Z8XhO+77d2vC8jri5heC+3+TcXkdiXom4PKW4krlwGeJZ8HuWxOEPQh0qtA5opwF4UxWAWuOaSvWxxG/LK8xGQMtBpZUecA7xoI1R2TrHhN3BaoMiFUBPA7YfRuboC4C0XBUYP+tYPcd619PP2SgNxyJipLByhZSu+9WlCng+UcDyg7Amef1egcc/0ARFsGrfz6Q8fBQkS4Vw5NgfAyoUXF5y9jq7i+A/fuKMooJ4wKXt9yD+2/Nbtm6XO4E5y8EOsHEvMhm0ggsB8Y2tJlcRk5LX+8sUaX0m3XTaSGdgfBIlu7xh2xrxJiELJP5DZrqNONAAAfB/FYRfnTGHPY4/IZJpHgRaIioE9kmMgfew+Xjs+pT1+8c5G4zCW68AMBD+6v6xPYaQzA2yELL1mp/LX8BbDORqNIoaeJ1K3VzCBs1qB3Ijn4A/XDxDCkAKGuH4U6OZ079cwa0PoHN4QrdQfKWBvZRjeoh7d7t/6ugBEUa2Bao1IAqig+XPUQUh7RgkIqndcLjvMNSIs7LgFyCFXlbUDH7AaENFY8nU9FUu7fBohBvuwTAhaFkOw4Ag4CcIbuJbYTqZvxKIbV1sLot1V7P6J9TCvR4hqTIz9hmn7EJOrfOqdLIl4ly4OFSrlCKkBWi1bKEYkmQ2jNyANssmGMmS+7zjb5eRBVYijnSEVslZEfPuuS/1Y55PXcIV4kNbNewguvQf2YOUFho1F0a3puft9od1Y76Bv+M2qmtzYmUqzlqoklBevLqJaqzRfmu1HJtbeYMCU7dZRbxo88J8Xrtb+na/jkbpKBll73h/ND3cxDFECrGkJGkMttpHmeEWu3WgKc84fEy4bIMKOfYxHz8T5zV6pnMAdjWVPq9eb9XwMYpUsyo1ubooyU5+PyyHd9tcBACWl2TR4eOeDmatl3//v7gB4HNp9HC+cB9zDiGfE9YCrAAMsVmJ+JcEUqlku5ciDQ4nT0AikD01gOBUrkt1gxUCz4gLWGkEAj4d6/lQg+gXlxNmMqbxPv6rmg1WezFy88LhfNzXZdrGZ22TgxVNtrklVK+B/9uXxvt/MUe2KK1vi79/2NsSbjGyNkER+3vAI5D3fze5k9giYGVqGAogBZt6J3nTYF+nkmxc0kFYyiYQsYUyFqoCI2pMAVS3xzZklNCtP6wcfZgqYsHXiUhgG4bt4ktt3Hbs297bX9m6r4AaEtSpBqzCHA+X5+dm89poo5ut3wcG0KMjuCsFozsho/un8E7z2vvDx7PK7pCtDRxpO38CoCm6u/jn611XzJEpfheRUPWrtEitM/U7RipJaMNqWgihOAcUOkaHTnbzL1/frDg1pPzbI8SN61lBGJ/VwAh8iy/alvmCUnr3Uz0MFgiXdo+g9prlxU47FhqsFbgaGffsGPyxu5fvXTF53Hjs9TIQBcAxNq9hBVNPFQFKAeFpophKOYK8LMPacE+rriNM4ZQsGpsf6oKlpqQK5kKek4YngLGR8H4wCSAK723soyVJRnxkhEf5w3bzALUyvIyPV9YXpNcicf3ROm+m5eViFHXPbGFAql8j678LIg0X0jKBNZN0jZpSPRNLPl1ranQGQs1cQxd78PXguzQ7rGjuFdbolHufR15aQKfa/M6sbXZ7CjXYx0Eyx3HUwpYbxmEbZMkXX+A8m+tQC4RpXDvqC14KSAVfajYGkadKsI+o55JB9exYng1Iy8J+NUOcVEswhKmdEKr3axeb+tJoVlba7U6MkB3f8nr8bWKlSepsT7QUO80K6Z3KxCA8XGPOlDQangsKGOwNjhKBDig6YWIMkBudbeiQA2tLtxFwoqzUNeAek5YBJiHjBAqhlgbwuvdTqC0+SLajyjl5w1HtxloNctBBOmkmJ4Kyhjb6yXrRleH70vPCyQnhDxAc5/39V6QD4qhAvvvFcOpNl/SwRVMgnzLBD7FKzmfajba5ySsTC6JsYeqxTfUE8JVi7w6GqVZ+R2ipK+3ftAvj50Wz9EXrkMXbwyNMaCtTZUzB6jqDdSp4rBf8DSxREYFxqIB8q4CI/2dqoHCf3+D63cOcudXgnJD7rQXWPsBIoqmlFYGNgoOhjZeQdXSD1QtPZIRNcn41bK+MbAGz5Cvq/Yhu8kcGaNruEOQYqv9arSQ04VZ7Js96v2emfKNjDyDsETkIAjkYhGB33OAFY07lUmbYmquACrVpPMNF0GcGRDJOWLWCXlvtB4TlBJRqAq+HW+xltgC3OenHeoSEY4U4ZneCfbfagvOuGDNcQxOxVaEs6kwJsva1QrMK1/nfTwdtd2NcIGqpsbpSYFpbHWb6oHBtHFyVJnJt9YzLwPcVp+bWN/Ze4UK4jkjzNfBGIUd2FYHM0U4vHWE05vCYs8WNln7F07VltrnyEidWHOHQPXCJmQlRHRFNhtWGTTIJvNfx06jkdJrcdOxI1xhpeFmXZbVmWkXAQhrRyNdHKs5cE4+cEffxxcABnNIQ7hKQHB9b4SOLOnQxz/3RMXE3rdO9YIYHQ4wxzd9nKBwmhgsL1QF45OgzOhJJ3BMmIQRbqHLgGMNyIUUn13KyBqwjys+rAekUPCL02v88vkVjvOIp/cHYI4Y3lHoIJ5hynpWs+dqyqa6HswZdrXcsPaa3IZU+xr2us/S6xZb0sZ+3uqUk+35aIiuJXV0U1+rAZCV6AtSuk6YeYJAhHsHgBpawxY610bZnU9fc6FUJqxc3dOeQ1Zc/2yz5pt2QIovaNG6afETzD6g2Q4VQJOtgdKN8XrDzLcO5heUjsA4Hd+TOWnu6Nz2sGtiO9XstzmGUkxYJ3Fs1VE7NaphjND9JoHgCLtqTzht6LtN0M7ne/O7RgV00SUdAKQWHPJ33IMusFYt8VZHy/6PhsZc6PiHycevJ3PqEHB6nvAv33+BMRb89PkzpFCxiyuSVFxKwnGd8P6yx7e/eQW5REzfRqQTkJ7ZyiauhvjYWULqJhMAQdHQad0Nm32u1wlEQ7l1T2VdWTLksvQ9nQJ0Gnt/80DGjdzf8bMNKb1KnG3E2QDQnq/cD8FZFGYHxAQImRDmc4yPVkdpyRVHXa/QYk9uO41XhMky4BrVzZUshSGYaFCfAwCWQOQ56DY3mDIuFJDdxBZ3T75GgbByT5TJHDbYOq50zDSY/3Ki81f2fa/WVTA9FipzqyXgBJg+BAxJMBwz4on7vk4MzHRM12s4MggTZ4AYyi3R93mAqPXNLfb6W9bgxuPS1wTQ2t60MfLvVSAdV/NvrC2TjLi8jUZBFbj2GBV+wbxeAfT9iIvbSgG+mRPmNeEwrjjejRhDNmdT8P3lBu8ve+RCUaNlHpAeqI4/PCvGJ1/XaGsCCgSr8axjhL7emc0wRPdi6y0G4O7G7FGFqkJvdtQCmTPkeOGeTKP5FiumUhGPC8LTGToktoYEEEuF7HbQ+xvkux2dd/PvdOAcSVXOa6kISzFEtQtQ1TEiFMX0LjMQmKzfugVmYa0YH+28kG4zXJcguwCiJWTiuSCspbHNqNvAzx4fQxsrUc7Xch9RBqJfDgK4IJROEVW6XdShkhq7CnSe8PR+hGQq7rJGlH1h9SZjvFuwPI9I342GqkaUVTC+jxjfs3Xmep+QKs9nwAKhpJBVcPi62jMFlInslOGkWG4Fpx9K01QBqLQ+PvCMuLwJbTxUgN23wPQ91ZOf/ghIp4A87VpJx+4dk7jzm4S8o+pzyGTESCXiWd8uWDGivA9N4d1r78Mi0KRY3ujV97KEgWJp05A7LRnAflgpCLuMqCqsvT1SE8NLH6YjUfV0Uhy+p4Ly+S27sAzPtO/TYwX+IgAmxlZ2RLXDyhr/048PDAwtGeBnDZWpWd4yvwKW24hsZ3VcqJRcExBm676yUxx/kLDcEwX2mCwUCnWVKXaAJ1rLwkzfNa6M65ZXHJewMkg9/7CybabZQE1KbZpZMH0fbB5g7QsV602AJml129N7IsjLrSDfdFsKMMDNB6L7x5+9wvgsrUVlvqmoe0V6iojfUquFNbnbIPK3X79zkLveKnTHCFw0NIGSsNIhGh8U47FiuQlYIC2j43S27UMi24G5idDDYnQTMy6oyh5/rV+gGROjZF05nQCDiF3qTlUpkMuM+vQM2U8ou0TDtBDpDCdDh4fEQynXrsrodFxhiwJmUdSyJkBTfxYu3rqvRGeWSCTkHKCroFTBnAZKi1/IlXhXBU/DhBgrhliwrAn1eUCYA+KZasrTB8XNb1bUMeDyOrYMYFjZ6J0IHWlN7hjKIHSQnSLofRF3bNtBtAeQy8rgf/uaIdEpMkoja1g2VHBPIoSpH9x+WcDlSBNGOld1CO2QlnnloTwNqCmgRm68eGFgUPcD+8nCgtwKxNMKWTJFIfbWIkBk6+9cO7rKE5Utn6jUGdYK1bCpTwINiR0kLSu8ERiqg2W4zKAnU5ZNZ3P8LSMZHX2cFcMzhW5oUATpUhBP2RBqUtA0CgS9lgorIHXttFyAY+6JG0N+vV2T+Lr0543REjUV6kG6BAZwV8hjaIiaqnZa+guEU7IioBpCEjAeK8rCNmFlAsQSKwApelBALxFlDThntigYx4whFkwx49eVNXvfPN/i4eEAnSPiY0RYBbvvKVrgaEm0YIoZzx7gylroUE+x13C6KqYjuNYjsiG2nhRoaAB6QmteKEZ1OECc0uyK105zFAGEKK/WbEmC2D9zy1TY2iNVCvkMG1PrFDir+4q+j3NFOM7tM1uLDL/3FrBtAhFDOHWTQAJg9Wq2QHxK/TAPpMDVGLheNgJQeWdOf+r1qNsaRNYRs3fv+CGDpSmhIw7o3+W1dLLpO6lDtLXP59CiFDQqlpTzZ3aE0kWTtpcHRFvhKrNRV4rynrR0tWxvIefvM2aLpkDgJQmq9RfmQW3PvChCkhYUCQeYD1kF5ZjwLt0giOIbueXyGQpCqMg5Yl0S8jlh+IYiU9N7IF7oAJLqbShQvS7XaXvRKdyH0Vrf1euAFKCtjoFIzhQRau3IkCekZGhrw213dSrzphf9VdJsg6iL9x81lofGwPIJEUteMMhVITqVntgCRidScL0ucRvkSq09YPeg2ZAFyQxoJBtCn4Khc70NnjhrQGFos7b13pIGqpaw7fY8mIAUAiAjWpArhQcB+7nSvrPlHNeDoyKaFOOTUBDJai1V2Mfd6ceyFlQk6D5BB3suoLEa4EmBYoFyqdBW28z5l0JBR3G14f3I+T/RptQbBm/hOHOdxAk1MmFZRpbnsE3d2koa0j5BaoT3uG6id2bmNHEchsfQafMC5FXwoQqep4wU2AUiW5D7zeMtTu/3DTWTHLB75vgNR2B8Kq09ENGg2NE6JZW67geEohi2SH4pQBzY3q4o5HiG5IqyH7C8GjE8BqTTjE5lBsJpQTjS7ur5AjnsUT+7MRBgD5ko2LW8GZFOBeM3R7N9u7a/4lLo+60FGGLf7ok1oXGuSM8zdAiYP981ui2DAkWcsyGXsQXCtaklo/mOABpVv+4G9u/NFcNx3lClFWU/oE4RdUhYbr0//fVniRKVq9jYxait3CReGDBKtj7RQfD8E4XuC8a7BT94/YRfl1eI84gwgyU0WbD7TnDzawojzUduLhegot1kkL3/ln5yTQPyTjCcmLy7vAk4/4CiZo5KD08J4xNFk5Z7E6e12GH/PSns3/29BPzBGZdzgsqIeAF23yvGDxRuXO4YwLqImZc2HX8suLs/43EJyLuxr2EFYLX1Zaeod+YfZTsYHdENHbV1QUxv7RlDhVaBLtZap1hCWMDyh1UxHhWHX5IhE9YD8l6M7aQYnhXT+4w6BTz92ERQQfufbwIur3gWeYDr7eukMjEAAOsdz+/584pyU7H/ZcLdX5LiPpxoo/JesN6yFdD6NiM+R+x/wzre9cZiFEtmh5kJB7IQGc/kPTC/UYqmHk0V+fMZ+8OMy3lEWY09pwJcAqYPLFvKO7vntDk/Dfy5/VXG+H7B5QcTTp/H9ruagPMPjBHwLBjfc43VgahxOVRgqkjfROy/ZmnAcKwoS7fnf9X1u9OVTYwES1ce7EIlfA3VvRTD0Z0k7dk88fdc1+R65t9rFr3dxUfCHFZ/JpmZsI9omGtGsIBP94MFagy45LIgfbhg23aBD8V/y1oMQbEs225oB1VYekbDhRRC4SLXwCLz+BQtU2djVFnvBYlY4ghUgZwJq6yrYB0UEpRZnjkiPZHfn56dygGst7GNZ3CKSjs8zan0zP8QoRIgS+2Unlrp6OV4jaZvnz2ljjB9og0RAHhtbf+ZtmSAtwTZCj64oy4W4KkIKcQiQHZkAB3RH61ed9MLq6GiyRFfr1kEaZmfoLI6mhuW2tAEFGWm/pA6uiUwRLX3NnyJEDs1l8kZqzUvMMEMvSra976/KkKnTmDUjGqoLJ09sTrp4AiurTc+lymIbqfAas9lS5m9ouF9Ygy2v2uBr42zJ4pK6cGDX1vgUNHuNwiaOJj9FhqdZiSoWVmjWwTzGrAM7BkXQ0UuDHIvpxF6TJAlIJ4YQLS2OS1h4IqUZhPM4ZW1MKNYAhNSRpVsc+Yo1AvBrY/GYoOGSwxENbeUzWpCawAZC94L2tddQ80/sUc8WPDvqrXTMdvncy2oWH9WD2Ttb1n/ivl8EYQ4YwFAr2f17em1j5bEUWUAK5/47LKjk0vRHc8y97lxAQvvR+rPI5AWVDtF34XhWhDk9w1wzc9rH6fI+ZKKnszZPss2yN/YoCvmiLNJVPse2gixeNu0JqrjrVaqBdtLpQB9ZpBbiinnR7Q2YG4rYCyeEHiPZUooovx8AOtQEaKSgn8mEyc9C+LqSTDPrBsF0ccKlrQzRLclUYDWY/yKvuz15b4srL1UYztVhWZTwPSx25bzuB3Z2h77vcDs8XaMDQlu2hUmbqhDbzkWvLZw0wZHgnbaOtBR2i0i7fdUwcVqOgsqVmPf0GZwAt2X3+oGBIEnzqv9f03bg87W+UjnJ2RAFyECUt1h7uet96uWqlCjY0qFsWHQzt62T13de2UALlURz0S0ZTUWkidekq1JG1cdAN0PKDtv4Wf/CabxWhRw6vRotHBvmzMmYGQvaFdzd1+p7lLvyb4WY8WQPbYVUPNEby/jMZtkzA8AkKjQGvCbD3e2LBQiistpZKuXVRBPodUye5sQ2FqqY+zovI+hl34VbV0aXDXc6ceNnWVrUVai6MEACfpruf9tpQtiifx4WrmOjhcG/NOAuEsIS7fdYcnQDavFRahEFcPjghSt7dtg4ICxCtK5QGd/SAIz4bLSx7RkEJNA6KUOG7aJAxSsX69NXRsiKDcj6hCR9xFlF1FGMdaHMRbMF6RvoojntSe3Aex+NaC+FdSJtsl9FrfddaRvshxH/GJ+Az2x36qLfMaZ+2i+3yg9V6u5XBXpKEgH7p3ltTEUN1onar5COglqiqgT7UUTa1W07hSuA5t3Qr9Vgfw4QubQ6kH5OgZ5mvp9AsB6AMSErB7f3UCO3b8LJwJMwViVbK1lfthgGdw1AGvAchrwjd4iRsUwMKFzGFhycpxH1OcB0rSGBOKxgAD5RjArcPwD1lufPyOSS8V8tGRxTRasDkB5EmjqpRZepgcxqnfx/cif5z2/Lj27mBuT09xjgKvYq603uRBEcLuVjCINAbKZGk1mbhPX1e6dslbbAk1RoDwNeJ4pDOrnqGRBPAfkPd9bR7e7nizr22l+RUBsvo9Yb6QH1Zm112GxoHZve6TQJ0/PEXoOtuY4PnkfUOLHdv1T17+FIBcIF4EkMFu0cCA9K+OBS7oopg9beipQdt4n0ughubbm8k1I6GztgXYjgqsHNsPsu6LQ0QX6gd+cqYU1p/sd1lc7BqADnVp9fAIeHknlfH3fM/z2mVLWFijLkFAOYzuA0qm0Z6tDaIpilF13dWAeuM67jxcuvnIR5HmAVPTi9yFs+vV1+kVYmaFKF0UZBefPSAuYHu2gCkDdRYowWcZWTqw50fGG1LWLCbp4kOvIZwxdbMjHToSogMhVgN/Gxf/dela6CAprcwGQ6mk0yuZ0zhmIgYm8SMenDlSFlbkAK5gVB1BvOc5hzl1Yw4OyKULTwCzrJbOmy2hgWitkE9i44jJQEU4rWQHZXhN3uFhxPT+fBqRGUMDhhUohQGcfHiBYEofOf0cf6QzTofPDm/tkQ9kUAMGC4pWIsRzP0MsFEJuTGKG72BwcQDjGOQMS+hhv2AwN0fSaXEcfAQZrunGKU2KwXRWoBVqlif60e661Ozf2HcFolfECxNGc/Nn3Afd1Hb1lCIDAZMppR0l/ChgJUvEgSpCOXOfpRCR8OFdSvYuSXrcZO1lyR0ZDsHWwQNeVNeHjcFU3q9mQFl/n7rS7uJQqZL/nmJfahKOuxguWVJhGyLygOrNjmvhdjswAPdA2tNhrdGXV69ZDPl++TkslImuIr8wrW3ptaaObXpgaxFofmdNYKwSBMZarfjoCV5V5vAJAFN4Xu9WKb+Y83yowacsep6MY9f5aXIrtpKxubfX759jGmY70FuHSKcGRKXH09vsPDPLf3F/bqVygy8Kkwt0Nn9tKH7bK5454qTMdqj3zhoWhO6PpuzCNP68hPxIFWIFQFVgK4glWA811vNwE5B1LHJJICwa60iogJWCOxgiy3s51ZH3/9CCY3ktrO8NehByzuOimns+exWiPFNbj2tchMXA9L5xr701utd9kMKglBc/XyR1DCd0eUOSGQaymCEy23tbcUfO2lsuVhoPuRmC3u7Y5jjLvB5SbgWf2ahTbhtAHmqKySfRsbMw2wSqb73cEV6eEOpAa6AJNZT+ArZzEEPiAPHHPexK9jKS8jU+bRIkPy0ExGO2NzjPnaHxCTzooES9v/0aUhG13XNV1vbXx84+24FKyUt13LUjH+Spx08Zfta3FuhuBKFhejcg3kU5xJnUyzETfYGUZOo1kp/k+EsH6Zo860Q8Ic25JSQTBejtAdMDw7oLwdEY875HOIzR4yYGN1QADHJjc8TNRk8JVW9NQkJcI/fUNZGXwxL71glApwHj4NX2g9RYNiYLw73ygvYpnag8U79dtomJhLgjvn6HnM+T2BnrY9bXgex2gCJdpFtSbCbJkhIcjy9BOZ9qP/Y62XZW/qxX68Ih6mREAjDZfrt8RzoZETgMDWU/kLBnxF+8oWPXlZ8iv2KayHAairu8v/OxpoC94zmxdFAJp/ENEHQPqEBuYs10z+XYwFC4jHlc+2/tHYBxQvrjBepew3gSsewYGw4kq6XUgsyRaLXA6FYQPR8S1t8r64j9d8f6/s8PpJwU6Cqq3TzTUUq2Pa/puwPQ9z/D1jr8bHqWp/Z5+KC3RFzMwPRQMzwV1GC2xBTz/0M4iT6YaSy7O2Hw2kUrJ3Ya6erAKg9blnkZWCrD/ZWoBT0v2i6N8fr7xffNbQxxnYP9TIrhqYrDTO36m91vVVaBrgKaKdFgRYsXyYUI4B8gxQMuIeVIsn81IQ8GYCqoKTs8Txu8jWreBSr9QCgO0+a1iuRdcPqPfs94r6lhbMOqMJ/UFoMDwJBiOZNuEbDF44ut2D8D0VCxZJ8jWwlEU2H3HJHQZgeWV3wu/o4wMMsNKgbDofWuLiRyuiosEWJdSvj4IitHQ73+2YPz+hOMf3eH7/wrnYPebZOwE+gdkBkh7TleW3+rdhALoicrYpx8GXD4LWG+MmnwUjI8EPfff0S9++knA5W1l8Lxw3qfvCYKMT4yD8k5wuReUpfstf9X1Owe5nrELKo2i3Nt9bIM2orTkvgerr7DgoGzRGlw7f0B3vKtLwm8OxpdohGf73am9QlNsY6cITBMdBFdDzQWNguUOsqnedaeqGyg+FBjEolL9Ocimc0AXpGq0bPudLkAMG7VS86Vl06dMChoV1hEtFob3OuDWcsLGzEWv2nNbprzfr+0wrw/ZjJc/P5/JM61qQZ0NYdiMr18vqW0v6g4/ngM64wyAhLWcjky0TL725/GPcRS3coCusv/uPGzpdp79rtLf70GwSfiLfyWXBaooAjxDp1dry6XcgyO4ZjCY0OhGOFjT+iZ/rv3+2zyhz9mVU9nmyZGn2sbiCmHcXld1iPWqfhSbIJtz09EPuZqzzVy9nDuAjutGSEjhWXc7yCwjz4ONzyZZutELCqnc80SvLAtY0PqyOg2W49mFpuCI1st15WupiW1t1kML9t1Z3zyXJT0+OZb2XlVlgKt6/d6Xc1B/y/xtkMWr9f8J5LEFZY7exs1ztO+pHXHbXtWYH9t1qmDtr/U2bre+TV64Wa5gzfZmTztbQXWzrjO6UrjZ9St2gdvtwgXfxFl8H4N7miISNl4bBx9WirAd31aD/tHY289fzp/PfxBmmV8yHLbv+cTcN9FBcPxoX+WKqr11ssTGiuUoTGCKoqlpVhMeiWdTw7f90lpGeMJA9eNzxZ/H1vfLQLDftHSkaztGWxstHo3b/5b+Ggnh+nzw7/jUWrsaLFtbPs9+zrjddIaKJxM+xQ7ZfoUFY+37y2+fp+3PVD7+9dVtbuxv0+rw3xnrLKxWMjKgUZg9abkVSCKLBEBQlCF2CqTZO7Xv804BABgordtz9BO2ArY3Y2c7NHHCdrNGzQ6ByJOTIrb75YUf4EjulQ5AMN9H0AQzP2qD5P8uQFx9qzLolZXlVTpHDLOxb1ZskmpMYrrQWEvuN/+FuiwoVp+9VIQgKLHbD689FmPbtef3MgZ1kcnUz7etNksITXVdXDPh5bVpRcnv9MydjWWt0O0CfbG/Ggp7ZaMB1Gqov9nrYBR1n1ezm05TVktIXn2Gr/1pNLABbR06k6Yx8m3OWzIiCq7U1n3O/Su0fxZMCVeT9M+33K2XFDZGZrhek6TDBriQmN8Te2BTUAlg4FQT60b9/tO5+wVOm23nkQdHPuxeBuj/X7spC5nrn6CEfU7ta64NqWk6NroyQJCisuxMRVCZGYZkIqPb79McUAR4OrPTST0OiGd+X5nsA6t4V0yOTzSmoM+d+fV1E22JArKYLyQM2KlvgEbjb5oV9hwMRE0JPXTAQRyxLWgtN9k33L5ztDPJJQEsgX1lPw0pLiMHSy0OUDE2k6C1RQJYc+vt1Qjk8d7zQH2DsFqQam21tjFEHVlnKxqw3ljyJG9uxcBBtyn+pyar9x35GR9b0k9fv3OQOzzbprCMEhX67FI0LnpYKtLTAh0i1luBQDA+ZlNM7aIq1eg2nvFVE4JBqQjPl27MgGsjMxBv1/OFh+xwYOY5F4gpNManmYfJYQIOE+Q0IzyfoLVCH0h4l/tbGhcXc4naAmbSaHrtRJgrwiUzUzcEhKlTS70RtkZpi1MqjVE8A+GdNjoIYDD9IC1ACiswPjuF2zJ1Z8EYLSC41DaurY9cJZqi00hjfFkhMDQ6shbuCrkFDEGcu2ExtOUK9XLqT3uT9LYd7qjGABlH+66ARh18+X1U5rIMMQ+jl+rCDc1XbfRwn+uwUVJutL7L5coJrDc7lJuBY3daekC02Uhe/xa8ptT8ZwBIzyvbxay96d3wjEYbcaMeVgpqhGyS7LkHt5KV7Q/cyajKPsBFgaBNTAjLygRDDMw6b5HG07nRkwGQMjtYLbUHcSYshWVlXalfIUA08IQaB77P0UDgmpKYEmQYeh1p9fYevBepCpkLNAbkHQVLXFyrJorKNRon+jjWgfuAAYfdllE0ATRRg/Fo63ylI5nOxWq3Ns6/B6AhtPrW1hoMMAEla4lk2XwAXXDLx8r+7uMUu0DX9nfCQ1xaK6zKVkylUrkZALT21k6+F5Lts0h0UQFAA+fYKNU6cQ51HIhynRfI8dz3GmB7aDBHbIvMSwuMSKc2zuyQ6OSspPDVfbJaWXcq3GYy0BEQFavHE3Q5tuGYvhfILKjRqLUmipHOaodRd9RaktKCm5BrYyfIuqkJVaMuvwjU9P62za1YstFbNOlktaI+bls0ckh0TBvyKD2IcUfXa6o3zqYakuIUTy97aPTYCAYaFoy7Onp3Aq8Dip6ckZbNd4GR3t/S2+V12qu3y2vJMBfb2RxnrbXYasyFINDDjiKKhpgrho8c8KskTzsr04sgsrbESrPM7pjb+r1K8l0hw9UYB5FlRMcTsKxUDkZ3ygAiYgCaEJKs1coKBJqGZr+pJVEaMt/mccumqQweWoslEyXcJsiDsWSaSOHKqgapQD3soGu/t+m9YHfhXKw3AAw5crR9K/KgEQgzMDySQpp3wVA0oitNGC8rhvdnyGVFfnuD9fVEO7YWrtcLWWVIqbN1Ru7bOhEliZeCeCktsGv2LwrqYeTzrd5Oym9QO1PJxiioJ+zRxL50iCif3aJOEeOxWo0oWp2oO5XuMA/PXJ/rLfUX4iWgPrAVTLrANFfY3mbdC7L3ULXgf/euIi7A7vsV43cnlNsJ681EstLDDHk+o94dILcUvwwzD+jy2R2AO8jMcdMxodyMRMWf2RaxvDog309IjzPid49AjKh3+83ZiL4HNmtXbm6AYaV9EYHUQuZb1W67S2pJL4pFUfBL8oQarXWXCNR9VmP3hfMKWRa2YLqlANx6T6RTcqXWSK70A4TsA5StMGVBWDLqmFDeftZsdjoVpDPPgDIG5EO4cv7XQ0BNQJwjxhhIw7Xr4W8PKAcGJOFCwamwSqvvPP1IkO8LXHshnYks+rrXAIwn2q4yCrKhcO//jDXG8WLBjPZzwH3g85eC5V6RLoJkdNTdd1xTTz8RPP+tivGBbX44APZXhpXe8fypESZsSzugAdh/XzC9W3H5fMSHP2Eku/uO8cf82sSWBIAwEC5G52XXBkGsYnRcwVoFOSrGDwHpWZBvFPmWDAU9R5RzxOWbCcsquHkn2H+tmN8Izj8uwFghT4kMzpVJzjJSdFayYP+1IJ0Vl7eC9V4NvGL5z82vqap/fis4fhVaqZa3WiKtWbDcBsz3AfMbMk0+/39fEOaC5z/cY7k3KrSh7NNT7QAjgPNnEZfPiHDPb+0zI5+97PsaqiZ+2tHxEXUIOH8W+CyV68IVsUlrNtM0sy2RCvDwp0B9nZF+OeDuL6/Xg6s2L/fA9EdPmC8j3r8dEVYhY2xhwLv/mjFTvmFCb70xO3RnwW8ANCnq/79aCMW592MMC5BcLc/bZhTP6pmTb3W1Cv5/WHp/QtZIAZb7t58BCgoGOd2sHXyO4MRgYiYCp182Z8eERojK0vuoOwozxFyZ9VtX1IU9MMXaBnWaoB3CVXkQV4EMEaKx0SehXvNp4hpFIYVBBmk/lqFRQM3Z8UUc3XGq0lFwC6CcstkQbmhDTRjUotH/WnsODzI9o+dZZQv0dSPW0miSmzpNldDRpAoaHneK/PJM6EuFY6fPti+QqwAXQEcZ/ICu+BitzLU7wk5h88sCbsTAzHatrRan0TgBq02qFN/aipv4rVU1oQ0LGDZfQZrgNcK1Xeee9fY+cHFRKiRm/r6pXK+1H7gApBS0GjarsZJtXV2rpbQEQzYKYaOLB9YxA20+tjW1uqzcXx7UiQAue++f+SKLzV9Jn6vQA60WpFiA7g65FEEAg/ua5KOsoAcBZexOWm8ZgU0AzSAhnSu8VYcr8gbvd/qpdJ0Fgx9lrdtzkdYtL7P4baw2zrSNIZMt20AMfbxsnTWEVzZj6Kcu+PqmZrul+G+Dhav9QvRGrlqabReiXCNt2+ewv6WCon1trJztQsqtwNoI+dxtt6fta918Rzop9bXSBtmydd6DXG2oXbNPziwp1tqroSO2jrxOLmzGp4l7lTaPjY7syGv5hPCUj18bA9L36Kh2psp1KxmfG+Ue9G2xGUv19lFWV1qDiUIVuTZr7hDOHaFKkXRuT0x2+4UWOLT1bUJq/fNsTLdzbbWbDPLXnkS5YmeAwZKPoV8vBeXaz/uztuTJVQ1iH3sNaMmullipCn3BHEDO0GVBWHNLTLugXtNccEZTYz38FqR4I6anbg9l815/v6nHqgDB7ku8ZATo6IKhPWLMhm29pYsDptnaXJhzua0739aoAmhzxoTNZl8rrA65MrE8LxA9oEZBSIFzVqWP++a6UkQXBkNSqpX5bDRIxGqLLYiX5fqzXD+kf/Bmn5qPUIcu2MXexZ6ERDvTUOxMrGi9NIkAGd3S2og4yjc9KYangpC7YrBGviZdaNvjOXNcpgQXmpK1QM4zVa+9FaCd+2XPrhax0G5Q9CuwpMDXgItYAmTjjWDLkSFAvAbJE0VtkGhzuL42a9DZCNqTO63dlM+Pq9f722pvx1ijBZ12vw4o1NSTIdF1Z2zvUxXZ5mJLz68VCEDZU8AtzhYYt7MpoexDQwm704/W0mh75RvOh9dPOm12ONq5nNGSeK4vk84WVNyY0F7hXPLzjJ56W1nPi8CyPPT78XVQJqDckrmXnklpHs70teoA6G1GuQxtfzWNGPevsvnJG5GtnmBkj+h4m6BWEhVnCiKut90PJJNPuf0CyMQrfY8HZfDPNmZiTCWgtdBbOU/pyMBweLakzq0AY0XcZZQ5oNaAkP2zBSq0vfFCgGS9A1agMRziBRifKtK54vImUag2W1KuALL4fVgpwY4lFvUiSM8rwvMF8Yc7AL37QcimIeDniwLrDdHpajRtKJFQT0a97IxQR1s3OyAfWE+sqQKWxA1ZocbS234vhcxAm5Wo6D0+8x6cugwI5yEqbnYLRIDjbURZAlAjQlL2jTe2fdlboiWi07s3S61u9NX+qut3DnJf//kFYceeYXGuLPCPAWqtX1om01saDImqiUGsNZBlJdcMjAPqq303gmvpiJMf9iLAsGNQe7pA5xkyDJBgtRsTZ6m1l4gB6o+ZuYLFqC8tIMSAcGeowqbFwkcOpxm8cMm9Abk5deM3RzQBK3dsVaExIr+aOpICmDiUOYN2cNZ9Ir2pCY4YarnxCVijpJ3aVIFwWVpA25z+eaGhvb9hzd7Sa93kMtOJ2Y3NeHtLFW+jotYSSJ5PUKvvpUJvbK2a6CAvlm2no0WExb6/FIhOff841ceMdagV4XgdCHgLI8nl2unfOHFeY8d6r4ItTZGOERGG4cOlBXLi7/f5DgEyF0zviXyGORvCah/1PENfOCNv/sUJaexIgYuohLNxugyJuKoZ9O/cCr3YvbogBuaFwjA+jkDPRjsdUWt/zkhH/IqWbAGD6GTDScdSS+VBX5UBcAzXSDDQPkewQi52fxYEhvdPGB+7JdEg2J+WjjDU2tSx21zZfLqCNL1OaSrZYS7X1MzKmuw2Ry5+4w6bUx69nde8thKDqzrYlFhja0JlstsBanW382adAkRStpej4e2eFFhJsSCTZGNNxRJn7d42Ae8WjfLL2hNtzn4+Q8jciz7ejsj6IrTWRZ3SW3uSbzN2UKP9Xhbaf2edPJ2RgI4qb9alsyDC6QKdJoRBgQ/81Wf//AS5NZQsVzrvVRHOua15X5saArwmuQWyvs49EWFtm9pcOYIVN+P4Yq636LVua5sByGWBPB35GfuJ9suFx4bE/ZfpQAMA4o72ai2IXv9+Mg7cOPAc2exPL1fRPZWMm9LjSOEXqdbXu9QWgJQpIt8korrn3MWVgB68BrTAXS52v6YmLUW5pjfz1wLcrfiOKxu3YG8T6LuIl1PfRbqius/9YMne5xPq4xNkHMhKMOYIVKEjGR1SK7CaR3mZmTRKiQm0FKmqrAq5u4Xc3tCmXmbe88x6ah/fltgobAkDoHcseGnnAb6uwM5rS4Z4MG9zPXyTMYR+3ylFjO+G60DE52AtDLJKZ+bc/KZgt2YyzE4RwykYs6peOet1EuTJFK2tDd/0XUR6jgxA5oxWa1wBHRLPwbVg+t70JIYIDQHh1W1P0hprJDyduF9t3tXEo8KydjZb4vgFgOtluwfH1J4RK+uXdaLCfHyw75/IRmlB+lIQz6E5jI5Yqqn/uiiRMxd274wu/CLXJAqkc4YsFXFOSGdLrBl6Ey+lqeLXw4SwFNz++SPH8uGZLJhlRVgS/UNTSQ4i9IWAplHgeh3l83v6PccZuweOnb65b3tcNi30ZC3cV0NCvd0xqBliTyZ5ne9hd30+rxnB9mdjI5jwINexXrFU0nGG9/N1to7sEkKuiGdmXoL5bvF5Rng4co3c73vSGUB4ukAenhCfEp/NmRUhNGVxwGqJgXaO5kNE2QWMDxv7YNfwDOgbQHYM0sZHBidl4D6RoggXdvAYTvQ7NQIlAZfPgXxQ7L4zrR1FE/8BQlPm3YqXaRIUEx4aH4HxMVpQxyDo+cehUZyHbweEhS1tgB7kVlP39mN6PQjOP2RUdveXivG5okyC849uMb+JRpO2+x4E651gflsxvQ+4/ymfabkj0DQ8K4az4vx5wPEPCHTc/mVgjepnhnZmYPqe6PC2tVhNpjp8b5/1zQANA3YnIpwuojU8A6/+NdfSeqOYX/PfwxN1dqYPTDAtd0Rol3uqPbtmz5aaPr8WrDf8/903RDq//3u3kHrLoD9bMmEnqLMiLkzU5H1ionoFbr6uOL8NmD/npqXaNmtz40yKslPHcUJL7M2vOFdskykt4M57fufwBOy/s6C6KCoEw5NAvx2Rnnn/eRJcPqc/OD6QOXP784CH4+eIs+CVrcdqdfvpTEXnuHINOHrPDYKuhVGB4mJvf831Owe548+/Rzys3LSXmbS7GLtgwOkCna2nWxDIMJho4CYYuCzA+QIc9pDbic6sU7V807rojjtsIdA5PdOQi7UygIsmmYJvc/xqDyjhWUenszkKKRvRpU9cnv2TeaFBE2GvwaqQ5xMPHq8DmRfo8QQZB4zPr3hf7sRbKwaoBR8A4m5qlOuGNF1l1k0YaFnpPNxQUEFOly6Wo3SW9HymMNHrO+gudbXBXDq90h2HEIBhsPsqNKp7jqU8PHF8Y2z1LS3YOLNlgYQARDroOpmTcczAPDeH6KoWyZ3VxYLDcSC9GuiIzgaJaMJIFpyH+JpzVIwqJ8Hoo+ZMxcDnnWufVwCuLq0AP2fJRFaL8lk8yDBn8mVP0/Tnv0KKO0PXSgtMKGzEzHJDtUMgncmCI3+NDKk5rJJSmy9ohdbYEN2unBxYQ+utNOyzucPtHkxASt2p9XUD8Dky/4gHzP65/rqq/P7Cdc1tYc9+XJtzC6foPjwzE365UNxjHBFab1oLMAcLDEvfs+J9rM1hbqjqdn8tpB+rrfl2zzFAbg7897xA57m/33vjmhOt5wvRgWkASkE9njj302QBak8wdBTcg8yeVGhz5smu7fh96vrEmkVVfk4pHMNpIoJvNHidl6vxlY2jpevKQNeo5FtbcTV39j3t/pOtsfMFdZ4ZmIxj2wMAOB8xkLUxjVeIZ/qXv8Bw+5rzvU0kAPweD75T6m2RWl2mBVjDwN/5Ht0kP6QOwAiiffZ2p1Zp4v7dJgvcHisXJmRdUd5/QJgm4LCjDbssJlQlQGWiTWcLcvdTDxBNXEkfrTTlsOdzOFUd6GuuFIjQzunlgrjbId3s+YxPR4oZDgOQEuI4YNiNTHjOS1+bqpzHZeU+tTNRL3N7v89tsz/T2APvFzR1sSRt2/tu31S5dzb7ScahB8wewJtAl6qink4IdQd5hetAU6yOsACS+1rUhevRSya8Zlr3E/fqeWZLuMsMPdFB91KBlqhpG12bAqxMk53P2u/hKuHEBIp6ktTbfj0846XAngCkTQ88o5DJyEGMlgTsSaLdtzPGygAs7hLiJVlynUGur7/5sx3KnSDNaMKOSQRxiAjzSt/FE3QxoL66Ya/VeUU4sTyrHijlXNMmyeGJZz8H/ey5v4HKwID6+cz5PewsqS0QWILS0Wmv9zwv7Ck7JdQUEC4VwZI5NR0YQFgyymnf7b63Y+6lD1vWQDH2gwfnlhzfzmlYEuI8gOJn+ZohMUTUXUJ8miG//Jr7Ldic5WLj6rT80IEKEYg/32rlMvcTVAS7nx1Rv/0e4e1rlC9fA5WqzFi1n/m25zVGlCl25oyV37hol5fptJ7dl6X5WZLcP+xsjq5urvQhns/cG86eyAN/B4ppbSn0cl6gHx6AaUJIkT6CgSNyuqA+PXe7GyPC/R1kHKC7CdgNjbnAcWbSJd5NKPuE9LyxPXalkyKvPCvCAqSjAsIWM2zxItb3nOii926to2B5VVHvM/JpbAFovCiC1d66/d6WKfn7NVi7n0dtP18PgstnijophqeA8YP1Qd2/8ANi10IIK9Ho+XOyKPXnAelUkQ8By23oaLMFShqJQta7ArwPuP3FglAqLp+NqEkwPhak5xXrfo+8p+rzzW8KhmPF/GZAvqtID4F0biF9l/2kSV+uA2n5GtASoN5j1um444Pizb94gqaA7/5rN8g3gGvspKNi94GlApc3bMWYDxbYpx7oO+U47wXLK2V5xXtF3gHPf8h72n/DoN0VlzVQmEpUcHlL9Pfwa8XuXUaxNe5jFTJL7aYPBettaCyROANQBrHrjTRdiTa/yYNqoq7TY0drJZg4X6ISslQy/ebXgAbF+MR1dvi6Yv8dE4rjI5NSlzexq1BnotouchmMbdDqle3+y/wCUPgt1+8c5PpB0vplbg8joBlPGYeOkgKW+Vo2CBsztd7kHGvunwG0wMCz3H7Is8n7Jx7Da0hLvb6X7WH7UgjC7luDsO2OZ0td0c8PNDvgrz7L/21Bmtbag432fR9TLCXFq98jl96XMyV0ISjpPzOnrQX/LyibauihzAuN4rI2JNQz9zIvwLJxBNxAG3Wo1WO6A24OnRt3rLkHzDAJ/5n3qgC8DtJbUni96JWgRAsIanN0OdB2sJUChQIhQvY7C/piG38PFBtNNwhl4P0QCgFa/bMM9TKVW90Gk9t1YWivHHZobTf851qBgramW1DkjtxWeGsz92KoF58195pSy6Cj2u9QAMSPkAhIIENPLTniwQT4M1W7j23wCkBGZWBdN/QrU2du1wbhbK+xwJfU554kaONg945x5N+blgUAehBbSjv8Kd3pxtIC9Ub9ss/c9pI12mj7ThdG26J+/n7fLwADOg94t6jq9lm2waj6Pv1EALuxVQib7wn22lqAkqFhaMEStgG8WjC4bclVtdOyXoyvxogXFuNqzLefcbUGggBx6PNqY9eQtzaO/retY1jPv7oJnoehlX805gNs/4gCoNJvC562FO/tLQfSvHxtNQXneO0cOzpHG5Ba0tAvT7xgg1CE2xvWkH/KBkfb85GBk+QClbWjoqo9YWPjjhA6SmP7WHyeRCxpE7qdEoH6Gsi5K3Ob3YVqCwJEvW5a+rwMA8dZtasjb3v3qikfW6JAsiV1tttsS8WvRPMV2hkhnsD0ewKA3QgdE8J+h3h/3xPC/nlWqhBO81VAKbsdg3Sn7m+QX6zS9tsVs8Ln1tf1JgHY0GmfM2BjL6WvKUs+yLoJmnyfpwitskGu0YKj3v6uUHUduO5TDbA1XTRVfnHVaWX5lCPxyl7nmoTdFDxBa4rVGkJP5nuS5LJSK8CVeXNFtA4BW6TwmoUSe3JdBC5c5J9NVgQDPcgmQPXfeaBmCuOuQ0FElyVVV7Rd9zP8+1snBNlQfkGGXdEekIts2pNJLyVSMu+i15dGlj1tg+dgPXrlzav+/arQ3Yg6JcZ56whXFwdA5eRoJVGWbIzHtflQMg6dHVGMzVBr11QJAbqbjGFGvyUeZ3Z68HtLEXqwXs825/GyQC8XyJCsDlosKW7nz6dKSFwHwGjN4TTzPoZIk+KlS0MCPn/b13GtDHRFoPsJ4fUrrltjH+ntgUCAtegC0FgDXlbgbdAaXXrjN6dZiebGgOHEIMOFhESB6T33nEYqKDMYs4C8AlY/CCh65dMCTA9s9/b0BwHzF4rhQXDzTk1B24NXaZTbGkmTdRGi4ZEBGl/D73Dhq7JnUFlGQdjxd9N3ERQCVJS9Bbi3FqgXO5oCkVxRAJniSM8/HiFVWzCs0ltnjg+sT15unZbL98VZMBzZHUMjhzrfA/VQLQEp8Bp2p+XHmarQ655/n786mK0gslsmIqbDEzC9yxb0j0RuvUzR3RVlh4mwKvbfUuE6rIoycIzu/pLrr+xYp+r1ymUCzl9I+10rGzhmTA8B+18n6qmcGDjmSaBvI3UFPF9oY6kFjSqcbxRhEezesdSyDtZaaAc8/8gVw9HGJM5A6yLiLl8VUszPFee3EfNrMgfSxdaa8rs1CkokYr7cc/1QDZrjVwdPOgjy8tJR/vT1Owe5mklBUqDR/qQYTUTEspRCKvLN3gaStDF9JFIoNzeQmz0N17uHF3doyGgMQBh5ALrjEwLkcLAbuT4EG5XvskDPRJdlv+tGuuJj1BSgEBBApOp8gYwj6Viq0Odn6JoR7u9ofLbOnWe2c752+qU7YlsEt73HEehsY+KZ/xg6cjd68BK6UV9WCx5XOtvBnFk1hHEhrU+GoTsLw0AHr1bo0zMdBEO3egAiHAMP5KcJMo2kCdu4SlXoPNMQOwLl722Od6eX6TyjPjyxF+nrV21daMsq137obFB1AAzWYwCmHcfXkR2j58q8oJ7YHsDHzZ19cZXG7X3lTPGgGHrCYPt9gB1Oiehq++HGWQQ4zkBPsHggY8jd1WXBi+YMNKdr2Kwb2JxVSNLWfqa/P8BPfj1bwcI2KVDNuZ2G6/fZvWkmat2SDZt1K/tdR7N83W5rVoeR62uLIvozWe23vghyRUNHupeFz+pOMjgvqhsH1cYS08S2MZ7o0doCMp3nHsRJ4M+3qCfAZMhkiY8WbNY+FsZYUEPPr54zGS38ZcBWlfHvmqGlQIbU2lLoukDXTGcrhh7k1k17kP3Q92Au/I7aHUUPxlpwPAxXaxGlQpEt0WFrQMv1WkyJSDkArCuD+5QgL/e2fRdR6j5nql2wTMaB63+rTq9q966QUPu4+j1sUSCg21IPEH2M5YWdAW2ing0JmaYeUDoT4PnYExa10ha/ecUAN/bva8hiYk2ej3lLlvo9B0P+t0GUodIv2xNJqRyHLWValWMbNyh9TtbCp/Z5tHEUC2RbQg1g8OLlNs+XF/Nn87IbUW8mlkMcz1flCWwfFq/Xt4/7MHQBnWCCZ7Y/NUbU/QDoAcEDYN9DnsxYM/BMGqjbND3sehDgr7lYIOxrwNFwrT2g3TAHtkq53nP6yvZu1prJA3c2g9sXHyc7N0WVqPj5AuxTO6Ma2ruu10yvzd4Oz2fIge1dmspsAdFA911EMOSKeEq95tWRPhHo/QH5buqfuRakf/Md9OkZ8uYV6t0NSxLeP9i87dBKoXyMBuqD6M2uCcfJWhjUHEYmHS5mv1e9ChwBWFBIO6OaKI75fIGOA+rNDqKK8EixpiYq5n5IDE3MrB4Gil8lq39dK4b3BVJJ/dfzmai7MSMaLTzzXBQTUNRpRHlz6N0b1ALczNKW9QeveE/PC6QUlNsJ5WZgAKeK1h0CaCUC3pEjXgrGbx45/gBkv2cyqDDIxunMs/2wow2bRq53mxtZC8I371GPJzJYdjvoYcfnjqGVlMX3R9SnZ8TbG6z3XFPpCQx0M+h7OQ3f9x0C6u0B9TAgPs+Q94/mN1nv4pn083ozoXx+gCwV6d2R54H3mL7bQQ5shyRHtiAqr2+IQtsV54JwJK273ky9Tnut7PO7rNDc7fnwVCHfGwX0wqC3KLCCiZPbX1eMDxnv/mzE09/NiM8Bdz8LPcCtPQBzDZk4K25/+gg5XvD81Veof3jBWnc4fJtRB8H5i4Q6sm617BhcVmvlEy9AKILDNxW79wXzq4hzDQ1ZVBE8/6Gg3NriAanSt39J9E4UFGJ6K5jfKCRLE0HztldQIFwCyg54+BNGWhoZTNUhtFaH+68ZMM1vmeQqI4O5dCKluA7KedkD5VXG4bMTTvEGcU49CWD1qONTxXKXrGWQQENq4rHDueL0RUC9Y3C5+9n30CFhfvs5NAFxFdRFGnIpBQ1xHh9YYjK/TTh9ETA+Kt7+4++AUvDtf/+HOP0Q7V7KpFhfVSACMgtCZoIgvT/hsBSEvEMZA9aDCW7dCC579gQfnk3TwDVUijTNlfVNRXwK2L2rGJ8q8n5AmQTrneLyJQPceJLW7zYdmUxh/b8nS4DhVDE+rnj+UcTxD4hOTw+ce9c1yDsG7csrwfmHFWKijkmZECl7UsDXtxVlflG+9Vuu/8JBbrED7Lw+URsEEbJkaLYAyZGRQlRTSkHNKzdNMfQwP6GuF1PqtENkXbuD6J/TtLkNOXCnJUW0tJ+f9XZ4tv6eOUPzGSgRMqxQDQCIAsi6QLI7yD2oolM3Q9czJI69NiY/Q0tByAJ1Z0RNzMXojZqJ7jTnPY+sOK8Rkq8Ve3mQbuqF3TmvbHYlMtqBmKA1dBEK1c3rV6ZdqgW5dUatZ0AiwhIgSJwDVYgkIJijX46NfrblmwgSdCWFQMrM+YwDNI/9eatC8xFaV0hJELkOrhwlE+tgrXlGLc8AIsK6uadaIYjXYwBwvh2Nyys/J5oibRgYJOQMMWe9VjrCUse+VmBj/nKJZ3eYhQIVIpby2gS5tkaW0g+Lc3nGEHwMNo6lJzGyjX8pPYDYIqYAtBagrpC6tLpjzaZ5XxkESRjammxBUav7NGuxDcRMQVk04JNoJNADWK1E7bZBbsn8vm2w6s/n6sy6eab2RtuXWu25OjLBvRuIYNUVyOyj3OqQYWuklPbsnJu1B7n1xb3kdD2e2zlo7neCIGxUkhVaGdRLBiSNvezBA+ir56x9Luz7pUY+a7WAqMbuRGcGH1SIX4G8QuvZglwbppwhYbDvLS/uG30+tQKIXNMi0Hwxzk54Mcfo9+9XTrQtQEvitGcpQEun2ndpLVeJmLVer/OUte8JDzxaQsLsnVNmP4HiArGLBbYEyAsEV4S9mUuF5mdDyRezDaHTnctp80wUbqEwXWjJAskXIDMgqsvCQCGf0QTdgOukkAfH2ZKyYaCNFfQk4pUI2ea+HX31wN/2j66LMVfm9hrVaHtrARsYG114TXYeXPh8sPlzVkRV6FJQx4m1mfn5Svlb0o4204Pc7Tjn2c4LNNRUVqOtLgF1HigSVS5XImTeV1mWlehnsHUXA1Su9x4DLkMnm62u/R6dGVBhib+Vdv7lWG7fv11r9kfzgivhsZogabm21XkG6oXPbwhs25/lBK2z2bh6vc6XB6SkUI2oEpFTQpwrynxk0t7GAzVBNQG5Iizz1XqvS0Zexvb/slYMyyPq+oyQA+pSEJYZmo0ev3SE96oUSQPqar6RIcmqERXsO0ptjtqZCO3hE8o8NpYAX7tC1gsUCXVaiOzmE/0OjfQjfL0UgSZTAx4GVImoJTAXtAJluRgKfILmCyQu0NU0PTCAys2W7KrWx1oGlHllEspRXNMe0SSoynUb8wLJFWWekdOIOBfExUoMKkt/SkwoQmZTzYI0V+jyCMxzGz/N7FselgysT/QDloU6LDKiJu8YYMJg6xN0PULi1PZtnnlvGhgUaH5CqSfE/ITzzPkd5kz149lAjBL6/sqsya25oq4D4jJD1icgDCiLQovVWM8ZdZiQhxFhLkjLiednnMznAAOWXBDKGaiCvChqSM2/jUvmOhRBHUbUjZhaWmZgfcRae4uT+fQe5XklEWoG9FxRF8EyULxqeSrAU8H6OCJ/WFFPEfMzfc3yXpFzwfqYsBxZd5kLEC8Vw+kJcj5jedqjvj+hPuwxHzPVgB8TiirKIuwiYUGuVEAoR4HxuUKeC5YYsY6BZ+gzWYDLY0CGoi5AMfXm8Kit7ZUKME+CNSl7NZ/52dWE0tZHQQ4VIQvdCDUzo8B8FMjZPnsFqb7WU7aoop6B5UGwHCs0AUsKPFreryjhhPxhwfI4NNRVVmB5rtDniuUpIT/ws3Gy9lrPvO9lF7BEYHlWXJYHaI2YjxFLCFiCkNCTgTID9QxcTgvSJUMXAaJgngbMhwg5Vszn98CasTzvsDz1NmB1UmSp0Kjsrb0KliNwmR9Q44j5ecdeuxpQkmBV4XwugB57kCsA8kLkfUmC9UOGPkV7zoL1ccA6sAY45wopgnoWzsUzkBZAT4p6VqwQrA+01/OxQI4L5uMO+VEhzwGXc0VctdWI5yzIWbAEYD0USBbMzwH1pLzfDNSqWFNBuRDwKRtf5lOX6EuFnd9yzfOMee6b55/8k3+C/+A/+A/+Jm/9/fX76/fX76/fX7+/fn/9/vr99fvr99fvr99fv7/+rVz/6B/9I/z9v//3f+vv/8ZI7j/8h/8Q/+Af/IOPfv7vf/E/Rrx/Dd2PVo9yYfZ3MgGp2epuU4Ru1R5LBR6fgWXu9L5xBF7d9ToRAK1msxTgTNVbcSqdZ4/9dVqZ+QUgk4mSOAU4RMjBqDbHC5AXYJwgJpyhL1QmZVmgTosR4f3f36KOCeGykIZUtrUtllmcRqIQa+4Kki/RhC3VBWDG82Iqu7ux97m1rH6fLQoVyEZp1e9bLjOpW2rIWLVaMADh9hZwuvE2W76te1zYCkKGAXp3g9aG6CpzrJ2a7HVFQ6I4Ts4cV+DjligxNCEbNZGn1qh9S2H0z/bvjY7oVM6F1zgavVSdKmzP5GJWaj1uPX8jMUBub6ka6rTdaUS93UNKQXj/BJ1JYf3p6Z/iL87/7KN1/u+9+h8hrgJdC8LtAXJ3s1l32hHishF6MnENDIMJdNmfqtdKuZu6NF0ydL7w/bsdkc15Jl3XBcD8PVtUZIP0XKsBC9d+DNBSobPN0TAYpbxTxZsYjNdN+3w40lgpcNNYjjGyjjY5ld33gn1fQ2A2yPFLJEMVumQipbOtjXHsCsgv0bSUuP9L7Yjli5p0qirbs7yoNxanLZcCPR75LONgtYyp04eLoaVee+ljIL1kgAij3W8w5er9ZOUARyJiXsteSmdxtLryzThtSwcAYJlJhbaab4qDbSjyIhyz1pJrQxv1Z7J5bCJnOTfb8Ofnf4afrf8cL69//8v/CdLuYNTf1PaM27smQGRovfgeBaDHE9vJ3N3RhpTCPRmE50GiAE0dI0KuCEejzrvN3dZ1+pxvEb42D1yAvv9lJRMBQ6LtXDPwSCqg3OybfcKScdVGy9fgvHbKuyrnZTd+bAMbqm33uJ9of3NXdW0iNgvV39UFukolkmdiaV4Wohd2B3BF+225jWgXYQMMQbUSED9TMQ69DY2fGVdlFXa/IvwOv18XzGushNLOA3EasdexXqw/9N0Bdb/jenCBrRd7XE0kR1Spsrx9jWzqON0Oz1Zu4/vaPysIz9tpILX4eLYyhoXzc3fT7b+PjZ+3ft/zij9/+H/iL87/9KN1/u/9yf8MKe2uW8mkgLInbb33aQ8oA6myw3tjB5gqts+XRkEdra4yibUM5J90zEjfPhF5u6OAlAsUUv9CgQjURNp0PC6s6bVa3XoYcPpqj5oE04eMeM6k1iaxXuwrUNBqgrelA3XY2BOgtW3TwPsNS8Hw7TN9nZsD6s5qV3PlWBwGtr+Zc0diExlLdSBNlvV0ClkqwlzAXpu2L72lWCYarUNE2dvvTAQrPM2Q0xl6f4v5yxt4j2opyu+dM+p+wHo7UKjm599BlxX1q8+RX42QtSIuFK4K3z3QH7w9UMBtsPritUKO7LagN7um3Mx9agrXIWD9wSvkfcTwuFAbxsXfhoT85oA6BqSHBeH5TFszpk7brkA4zdxXn7q8vOz2gHq3a2MAEayvJ5QxYvr+jPjtA6nmr62mc62kY88LZF1pk3cT65WH0DoY/OwX/w/85S//k4++9g//1/8bvP7VDoevC+bXEacvWU+Z77hOhg+C4Qjsv6+4+eWM9Sbh+Q8SIMDtLzLGxxXHH+1w+sJsEBnEpAYHquvu3mWM7xekn/4GMibMf/wDLPcJH/444fxVxfRdwP3PKyDAckv68uGbiunDShGwteL85Q7f/LcD6qT4/J8Ctz+/YL0dsN5FaALWHdeuo5b77zJ2354xv93h8W8NyHvB/Lmijor7fy24/4sFly8GfPg7RKWnd6ydPXydMX1/Qd0nLLcstWMdqtkvAdabiOU+UK15EtSAJnr09j9fcfjHP4PcHjD/5DOUKWJ+G5EnQTophmPFehdw/GGAFODVTzPGh6UJj51+tMP7/3IElGMXZ1y18aEwHJBOrMndfX9BeDhj+eoezz+eOikLrMGtEa2fcFvTRTE+VsS14t2fjnj+k4LhIeDuL4C48D58LvKBtbav/vUJZZ/w3b8zYbljXW1cKKJ185uMuFQM72eKtX37DvXxGeFP/hYe/uwV449CDYvz5xH5Brj9ZcX9T49Y70Y8/mRsrYmgwPhEejfAMdUomO8D6gjSlXdAPAPTgwJiAlgC7L+r2L1b8fB3Rnz4dwrqesKv/hf/O/zJn/zJp/ecj8d/UST38fERf/iHf4j/8LP/CMPNK+g0YP3qNR7/9s5u3B7oqIgLJyzMbEnhbRbCeb129mOg4QiBhmgTHHIz0JGoIw1tOHeZfT/MZTbj5IGkH+QWqEKki/dshUvsYNebfQ9kz6SFNFEIF5M4z6wLdsEI4Fo4CaDx8bYAIQDe8H2IqENAmdim4/w2NtnwbeF5XBXjY7G2FKY2qmhth1wcpAnDXBYq13pdmIvTAHCF2hYkmRKy09OwrNCbPfSGtWpyMUrrkK6cgNbmBeh940zaXpbM2h+An2U/awrZLuJlSYXmIL0Q4voo6FUTj3l65jp4fQ/dT6xnO55ZQ+gtjzZKlVuBDABdrdVFNoYE3ZO6HR5OrDMLAUUq9HKGns7I9YL/+OH/DAD4Dz/7j5AqA8Xy9/4Ovvt3WXcUVwUqay/iokinguFpRVgKwtPlY4qZP2Yl9QYTW5Vo2gRPdlXriRvPq4lqeMKn9tpupyyqMuBxJxVoQWATP8oZerHG965a7L/TF+q9AJ3PLRVEmKwQkU5JHwc+QxPhCqj7oTk0602yw4IiGXnHQ5aKjhyz6UNmu4XHpVPzGj3VnPDjmZS4caSjPi+oj0+WaBl6HaDfhwWnvY7V7nfbSmgr/vKSkuqKp9PIuq9NkNWE7F62C/LvrrW3XfEgd7OeP/m9HkB5/eR2fC0wcQVd8TY88wKsdrq1BJrR5i2AbiJE1eoXLaDQCNRM9excF/zH7/9PAID/4Y/+p0gTW8Jc/vZnePjjka03TBxjemRbjOGUER9dGwF08o4XUj33E2vhvDQFYO1j6I6ZJkE1Fc30vPTazlZ2Ys7u6sJCFiAta28PtNFRaLW1rpy9WtmMKfy2c2DT8qydAyn1FjXax/GqZ68HxxsbWF8dUHaptV4pU8DFhDycCtzaqSyK6T3Fa+Ilt3ZwrYf3VlANwEdK/La2NEgT89uePx/ZGE/qbGjXuqPj750Ltuuu1y1rt/17a0l2YUs4vdmjHkYGKNYf3lsX6ZCuxbA2dtwDAQZQhQGsC5LNLN3oQlu1JYd1NzKpaxoebCNodP7bPTRGKgifWdfsrczaWayKqhnVSg9yXfB//zf/BwDA/+C/9b9E2B2gMeDhj3f48Gdg65D30sRxoBTY2b1nS6OwUvQpPZizZ89ZDyPmz3bXlTKjWFtFE68KguU+tf7TIau1LyqgYA7XWDwXBFMSbn1g3URkOw99qquy1jRXBsalUPtkIpVYB57RPFuA+LywPZ6ffcCmJUcFKlAPA5ZXVse61E7LVPbZrUmQ94E1hiPr56jAytrE1v6kKMZjRZgV6VLYOs4owwBasJ/eHSEPT8BuQr335JpTd7XbgyhAUY57qai3E+rIYKyvYb7Ya4vDwhZPV9vCvrdOEWUKSJeC9IFtEucvD/zZsSCejZ58XqFDxPJ2jzoGTN9fEB7PbQyZzOD9hsva66kHE75bN8kq0B6yhWbga6Ig340oY8D0bkb8/gk6JNT7/XXbyVNPfrBNVcT6Zoc6CNKlQC8LtDBozGXGf/LP/vcAgD/7n/9vsV8mxAtw+Uxw+qFybUSzD5m2avwg2H1PsaA6UOBpfOT5vNyZyFMy2rGytlYKsLwC1nvF+F7w6qel1czWCPacLcB6A8xvSDu++VVFXBTrTaBgErjPyiiY33IteU1nOrPljAZBsQYaeWfKwt9WHL7NWO4ijj+M7LtrlXfTA+t7l1vB+UtpP+dzMsiSCvY4j1R9rkm60NIeWO882OQcnL8qwF3G8IsRdz9jkJ8t+IoLTDSp3wPAfbD/riKdtfVIX+4iTl8GQFkHGwqDzbLj58SzIi7A/l1GWBV5z17Lyw1bDXlPZA8WXfBqfmU08AeqE6cL/7aKQRPX4/0tr6SJYA0njvH0IaMOAc8/jhQOGxhAjw/A7W+KBf+kuB++yRg/LFjvB8yvadPKJFf2b3xSTA/FSoBAGvstn2V6YILj8tmAD3/CgP/VX1Bp+fRlwuUtWyV5CzP/3OEIpHNlG6ODoCwX/L/+j/8rPDw84P7+Hr/t+hsjudM0YZqmj39hQZUAWF4NePw70jdQFesNFZBO2gLeUZnF0hQot76tsRFYpjC23pq+EcT6DZaJh30aYuufBoB1M35Pdl21L2hoUOyKmF5fVSoVG+8P0ClCS2QdYAjQnWfnc1cjLj2TztoQE2ZxhDNaSx0zghoD8k1C2VEqu0ws/D7+SFCmfnBJ5iEbZ2F/slUxHGNPFKzVDh9zjtyBsYBFct70CjSkzoWohgR1x9kDX3MQMSSsb/YIa0Warb7YDXGbA22JpLqnWAT76wXETTKg3IyoY0Q8B4RLICJ1npl9vJmYRV4rkKuhAjaHjoa7bH+x8Sy1IfU6Dqj7AfFsrSp0B9zTKddSmFzejb2dkR+O5oAjxdaLUKO1ZPCWCUOCpIBYgHJ+QthmZS1wkqi4/GDCw58pNFTWPhRgfKBs+vAUsPsQkc4VU7Be0Kv1gd2Ix+hAp7ncUTxCBypJIkhv6u7L9RQR5oGJocVqQ09zTx5UqyOM16inIEN1g4Y1BeZNYijGJkYmm/pLNQdDi/3cg2ITvXFEHAMFXzSEJrKRbwaUKWC5j7i84fPkGxrNfEtBh3gRpGNAugDrITAI2KfWdzFcMtd4ZnAi3nrIlGhVFdVEuAJAZ3ij2CquoGsByrYXaktobVqstGCg2Q4Lyg479pl0Z68U4KXgQbEk1FXCzBRlXQFUTMHVk09bFoUHUo7Gq3a0dhwoqJNLR8Vsn0kp0OyoJFHm1kqtocX+b4qtKUAxvSEhlGI9rT+u5dYgWF4nPP1tS1hWHuS7dxHpyDW+i8Eyz+aMWo0eE3kWxGhsn+djoElQpoj1NlirCDr8rQ7SLqmKcFqpQGqJwivEyh1mGzfdjGmz+9vkRVORtf1ysTp4F9bbdAdolzmU3quSjBEGWvlmQD5EOvuDOf8/pAPhmf+wSGvPUQZBXBTjU0Cce/JI1or4PLcxhKOd/sf7w+8CGpNAzLlu6ty1P+MG+VZXJBdpKq4tueKJX8DU37v6v5qd7GMdusLrBm1uSUobJ+RqCUP0cXPUc92oEu99f4KiRImf33rAepJHLNk0cr+6Ir0O1n6lVqLhh9D2hXoCMESIDKwGVoWWnqQvU0I90F49/4Hgh/+NX+N5HvHhL18jXEJXGQ2BqEMC8oFIZzquwOk6wZX3RH4cFcpTQBkFZVDUNFDg5p59J4mSKNJFmtBL2ZkAlgBhpTPoaO34wPrVOpqgmKt8bxIY3o6otaRpQl9o9aZpLZBntjWs4PzU+xE1BcRTRjyvKFPE5U1kQuuBwTjPJQY/ZaCzev6BoOwV+aZCB0U8BgxPAbJ6L1UibynRZ4siCEthnaEIdJQmTqU5UyjnEZxjT/yG0GyKXCy5MaYW/Dk6XKeAGiPqaGrDwfqYPhWEy8pzdpc4LoW+VpkC8oF+ZJgHEx7inEmheB0Zh2qoqQdCblOFok9XqHZCCAFl8p7aFIqCahO2Ss8L5Hyir2l+LO0kem/5ZGJbmwSFrBGyxmYbFHyGam1XYkgINVAobJOYnj4osGfglg9AuTU20Mrvrbes4dQQUSODi3TmwllvqJBcRrF7I3oolYFoWBXzW8X0R084fncAMLDdC/iau58XHH4z4+Hv7PH4x4p0Bl7/ecXwVHD+bMTlc5v/ABsrvne9V1wmYPe99Z91zEMMvRyo4JwPnC8NaEGj2PcvN/SxpaIpBGtS1MSAPZ3Yx7cODP7rCBOaAvJeoTfZOnXQPqbPL/jRZw/45fga7131PBAFnr6n77fe8HviLBgfeE95JzauanuJbZ0oyGZmdALWO0DPTLR5ckCKYn4VMb+i8rMHnnUCgZUnIM5UoZ4/q4gXYa/dwDGTAhy+Kdj/+oj11Q7PPx5RdsByB5S9YjgKxicmssqO6zNah5T1TqBeqzxwDRy/suB3TJjubI0aEpsP1gv3icJkogyK46yY3hlYGCasB7C/+KWgppHiUhl4+59VTF+fkA+3WG5pC2sStL7baomFfcBwrLj95YLiuhB/zfU7qyvL3iY857ZAID6B7OHkzZ/TyeTv3Zl5Ie7RNrlw4FwaXQo/p0xmVMzI1YGLMDgqXDZOrDtfQDf4L1scbB2qxPfKWpg1m3ND97Z9RxviMHT5+is628uAuqIrCBuqxTHhBKYTHSG/QuFC94OQVAQGuPGUiQKshY3TG2/UstcxAGHoSp4erBh1DpEHCKxhPQI6ApZLRxj8cyP/yFqaY+cHTxu36rTq2qlzfj8hoI4J4hnJROdXYwCW0oO/Kzr3tWJna2NxQ/oO1SGJHITXr1rmWkUQGuUuNLVGR4J0NzBZ0TKqSmTQHDUpFTrYOhwHhLtbhDIA714s+MpDv06k32BVoFCCPWQgrpw3JmRsDFc0R9MdZTqlFsylQEGOMdA387HNTGJIVmwdSymboMznyZMvwEc0Ye/Nqtvem/57T9i8YCK0+XW1av+7KjezB5tD6ii0jyuARmUzFq4YmSKeLYlzFqQzjXQo/NOCJYDjtFQqfecNLXdDSwy3t9d72hM3EjZtpfq9ffJylLBlzWOzHc0B8ZYdxRMU6ZqGGVy9Uc0BhaGnFlRtkWAfd9UWsKijhFUg+eVrbQw8SK+b/ZkSnfvt5YrBW5R4yybY0BdZ0vCJNZE9GAHKCCBos1GSYUgXfy+F6xRVO0tCsKF/bb4PYPBj9pmCgzYN2wC3JR1Apoh6wsvQRh9Pp29v0fLt93mw53vPx9ppsfsdA+gNGtr6n+/GvqbXAqTeUqgnLwVb+ti2DYa33RBLDoRVW+9HOgeWACtK9VkL9pl/srlKkXP5kmXgj1eVAZ1cz6kHyvBkZ7Z5DxbMijZKMtWFOTbuPPu8tbkb2QqlI4MCjESqokhvOdeUzGMbN0HpwbHbWpiNEuF+90Sa1N6+x5+1lToFiG7OFk9wjAPk1d1VwqqNTZSeBFDF9uCSUhHnCi2KdB7w/rTHunqSTCGVaqdkn1ABNM5cl+v9CLlh0lGqMqG71E7FBjCUijT3NaBK1MQd+jbQQYw+7EhIgEZDmoz55ms5LAUtQenPuvGbpHWhCF1LUu0cCWwpVD+7b+cj29eB6y8I6cqqFAWqfkYqMJga6yEY6tQDi0azzIIw2xl4Qd/birZmVAPqjgnlsiPaGu92COWe54id487i8/UXam5JxC1o4G2FZK0IlUE4VJpTrElQDqPRyTfnk9p4mlpvtSRmOhXEC+ekjKErRIOOeZw5x/XQbQM/FK1kQCOR0ZA5MHUMnSYuMCXpW05N6Os5rJYcfM1OHmEpUKmoRhkvhxFlP9DXvTCJNDxn6EUQLoUMKLjf3O8tZGC9ZS/WfENfBaLQwQKtU6Dv4oSgxCBIKpiEycB6a+9VtPY83oJoeAo4/+YW6SkYgo/2usubgLzfYbkTDE+0jec3sSF6wUSowooWRGt0f5gB4fyG+zAuHM90gp0hwOV1ZDskuxzpDO2MAsYPfN/0vQCQvi6FARyELX40kRZbJkWCoJSEkAWh0E9fvt7jLx8mhHNAOgvX+4LGdCgTv3N0+ve3ZhuGDcLZzre+bhqiuzCAXF4L9BlkeTwvGJ/Z95rJBqK9u+/V2CCcr3gBdt8RHdZEtwO2t59/HHH86r77YtmC+5MgXnp8BkN6a+z3xV69sDFV7L9FQ4YdvKijn939tQDR8byj8jUw0WYL/eP5dcT58wNqBF7/C/MpFkW5Ha0FkZK6fHDbxj2VnmlDyyhYbxPK8jcLX3/3FkL7HTCzpUyNgnJXOYnPgSw2g9alclPSeeKB6/SVlh02OXy1P60+I7OXWNl7fRwdgjJZbcrz2im2nqn23q8bepostf/MM9ciV8ZMLgvkrD1DHUJHD5zSNSTotFEEls1huh0bO/Q8QBS1ADeibc7x8UU/KcvixJVy7yGT5h1XLvrw4Rkf9Z31jLw7cVb/KsWoMlWBZSGlaz8Zze064yu5UNZ/m3QIAXWISOcV8nTic9/sOxIAtJYHCDzA/DmRKzOdQ6AirdMVLXsZT9qk+DVGc/CMAuc1Z5sWH3p76BTpWhm0jkOrHYKiB7ROod4E5/kVKdRhznQWauXhXgx5cKc8BKKAr++p2mpBroTAdglaSUfcZ+Y3zmz1JIUbNS5EpcLq61w4tVUbtbsh1NX2gGe0w0BnpPKgjidD1IeImgKCuuOxDVo45+I1qk4xdkpyECAr1Gtq3Qm0+lJ1euDLYLD2QApARyYtuGttltIG7S8KBO2OTwty6TS6YYYyY0gajwUAFiy5MawpkAZ0unQ14SCtrQhiRPDWXpdLb5szDny9lVZQB4AOUUOkN0mwRkl1p9+d/S2F3pMl5nDXaaCfZGwK950lV2DVnu3ffO5HtHyfu+SBudAB2fZcNfsiTi31YLTSi9Cpo8SucyBPpppuNX2eOHLU/goJbS1v+n21cofCA6bue+ZfwMMuzXTCNQXrY1qas19jIOMgGzK7DQRVaejMQQrzhnrpSYa6cfoELE2B1SquXNeeNGjB38tAejNvjaY8pDbWHtj5uvU9JdmQ7WiMniG2khpBIkqWBOWQULd0UrukKsJMxzAuhiqYU+CJAd8bKoJQtTMW/Np0DtAUICX2fbllHAAt4XUVwLcxtufbsG80kh6J6g55RJ0SujovGvVaqkIMbfYWKw1RGQLyLrb6vOBslbXY+4mwyslq0eAaE5s9YLZCXDV4VYj3C2/sAEva+Xm9lYP2RMxuQL3bmXJuuU6cB+nlNgFovY3BvRqQgRkYnie8+7BngOTDV4C40E9ZD3TWxodMhdY3CXkiKh9XznM6273aGIXC5KSXJkkGxjaeYpR22p+ahD0rIxrqk04sCejrBQhnJt7Z4sta3oQARDS7oR7g+pwGtJKuckgor0YG0MUSK6UChWNcR7ZGmd6tNl7S7q+MDHAvn4vVY9patp4tpEgyWEpntaQvk5eOyrB3LinG+SYyKK0ThhRQk/kG2xyV5y8z92ZLotlr6xAQzwXxtDDI30ezy7Y9kqC8GhjQeP4i930YrCVTmSIkK4bHGbJkrG8PWO8Se4GObKc0PtD+lP2AfDe1euPtRT+SSewwcy+sd4M56fzOsovQ14OVodXmA4fM+1heDRiOGcNvnhhrTBGaItb7hLwPSKeK6Tt+d3q8wCndoko/YZdQN8yckBXLPTD/oLB2O1uiIPHeh+8ZgNYBjY6cb/i7+hgQVmB+qyifrcAcMLyPiP7YarWup0j/x5SMPXF5/oLBdTpbP14B6cOB53+cgXRUTI8VdRBc3gRUOP2XQd/FkdEPRKzHJ1MrvhecP5eGALMVkKLsFOkkiGfB+AjcfFuRLhXjB2vhtE8oQ8Dymi15WJLgdtnO6xlIrT0Ln+n2ZwFhYd1omXiP0zuu7dMP2Npm/EDkfHqsuPmLZwDA6Sc3WG9CS25erxcYY0IR54LnryJOP6INiOeM+P6I8XaESoJKwHoniBfgzb+cEeaC0493mO8ChpNiOPK+5jcW6Buw+PwFkL9YEd8NePWvOFb773oZAmMRKzuws8rtX1gBWOAaF8Xdz1dIBT78l0acvxCUnbKH7ioYHgRx7e9f7gSXLxTxzPMgLqRFx7ni+IOE448Vt78QfPV//ZZK0X/4hmUSwkB2iYK8A3QAyo4x0q4a0jwJ5hhQlo8ZaJ+6fucgt6NJXufGRUHn1bI1C1pmVVVajUJDMPxzKgDhoRxKbRl/D3bTqbRDGIBlUtEP/m2W2/sqipAa6s7Ay9v3ANdR2U02GBunvv3/S6Tgxc8YcKA7xgEN6fIeXuIZUPvjQRIs08+6FjZOlsIDExWW5UwQKZCaOkLRsoh+oG/QQg9qLEhRAN5uQCvfI8NgDqBArY0QP4fjqCkA1tvR60hgn9NocBYwe+1DE+4wRED8d5vMNIZkwXiv8+VSMMfMe/oZvVyj2MHsWXp+dlirOUa1z1fdfA94UFa7NxXpAEzYjJvPmSPvW0Rt+1lFoTPTiWFl8CaWxWwy7Nozny1xUEnNwDbQaAvHDs1Kx+ol8ncV3NYX76v2ehd+ipGOT1uX9p4gaE++pbNuxsI9AgHQetmKtwV6sd7bnrWgUXuA7vMUPOubAcSN47L2ALcFuu7g5mqCJRZg+RprtXa1B3q+vj8V6GxaL4m46F3oQkkeiDYaq32PKucB6Gsbdt5tmAyKANk43hrAetmtPXI0qr1GiLh4ss/m96M59wDNg1gLUts8/bYALyXbO5vX+t0by+EjwbePxm1jz91GKSDV7aH/fCNEJwKnFgH9QPd90J+12wBpQdnmCiBYlWvvWhOkr/3t61/a3aov/h/XtrEFS9LHtO0dzocYvfwKUXxRs12tpvil0yIKxFVplv3t9u9gDA+ud0Uo1UpPDIG5YmpUCyptf9oZ+RFaab3ViTzHj+fUE1Iv59mTommD6L14DpXN9jGqpdt0f01DxV7MSysDCQGK2sfZv3srhhQCxevaWAOoW2YF+vNH6Si8SLcHzenua7EJQwE8F5YCKV1zQOwZADt7F39Yt/FMVjT6oPIcV93UnRpK35g1ANRaszCHqHBWGses75323qoNqdJg31WN2bKpX22ovD2PZkBUoCN/RxqvUWDt3PTzpA6xITvB5oxnIJNJqBVlP0Al9P0M8zcEFuzaoMH9E4FW1uJqDi254yiqVCYAWiKrMTdo6+K5kMq/1rae2t92ZvbynYDg5Q5i8+tr2tkVJugofq9Aoy1D0Nh/wZJAotbmTekTBQB1iFb6Ii0o1sT9V1NAsHObolmwwEg7Um7sDk/yQYW+wpWJ4/ezZ6tAVDittobixcTI3Bfaon/+Vp/PFzZMnSW3MUz0I4H8FAwp5XoLx0DmkNeSBthY2Zm9mZN0EkgZmLiY6e/UCGC0mvMj31sGvi+uXGNxNpr8mWhlqw2NDLYakj4wyZMPBv6I2Z9izC/fa9Vo/nPFekNBKjg92l4rFYgnJqXihftIRbC8HgAMbRxrskRToW8YMhFd1I56S+G9k1mpCCtYaz/AGJbXdbvBanNrBPLriai/jQl7+HLdDSfahTIyYUTUM6LsbD4DsLwZAbkj4p3V7AI/5/zliLAqViuRiBd+5lID5jdoe5WlD4AcI4NDQaufhf0urGRr5cP1Hke1ZINqez3t2AaUk74u3Z7VAVj3DJqrSWQ4cNfo/uBnqwDrl7cUrAMQL4U2LIjVZAO62h4N3KRlL1BjuOJqX/3263enKy8rECYKwgjYvDcLxkfC+cMzC6lJm4iWpWQWto4RkoJlYWuv7wKAGYCw3kGHgHDOGL45AzEQlRsDa/dyZaNtcyTbgb1mio/sd82RVd1QAesLJ8YFakS4+UV6Vn0rXHVFU9kcui+cLzF1ZR0H5C/urJ5GSGuKAaEIbVMEDcKFxsEX0HCq2H1zYfZpZ83Kp4gaDxyv09zRB9Uu3OFBpdEcUawWb6KyNDOi2kS8MA6kCo2pUYl88YYlI5i6YXm756NZAEPadOU97Q0xcMd33Tg29nmOevDwJTpQp4R4XBDePwExory5MfQkAnZ/Xl/sqEtDVsYBdRfpYDxf+Jwm1oIh2QFvDkIFwmnhAeZoqjdOE6FaIQCZF4Tz3FG32p0iImUAhNnU4R23TnqWVugfVwvailGoTBTEnUCxWmdfc470IgTIXBCbIMVmjQWqQ4bLakhhvl5r9v+6paQfDlzPJqyjyGjKwCYc1QK+Df21iagFZtwlF2N2CRFdX+9iNa6lAhPYk9D2lIBOQFgFcRYMgVnahlIUE+K5AOlih8uxUIFzLk3sQ85GxzeEWfxQX9nwHlqhjVpvaMbWWY+bfdkQ1UhK3GFi8NEUyjsi7bWkbUzcQXXHpWqnzk0BNUijLbL+mwGsLLkL4S0r95nVy7ZA2r9nG2z5z0sxnQCQmeH2xh26Nofm7Lv920+A7Lo2gKPFL20UwGA7SAvo22U2AUIKIgCEhfY8WLweMvUVJDN5oiaC40wZTezH2XqMj0QMpZDlUFO4ChK3gVioJjBj869mT9s+2iAoLwO0LZtHLWCSELogD4AmlOVCSD7uMaL62rjMCMcC3U9XZQ4apdVLQtGSuhyT7syVkXVUYSEjJ85KNdG1Nic5PF/IkBkH6N2ej2tCgFSkvxYJ9HKQRpXPBXo6c28edi1p6OPQaMQe8HlAYNTjmlirqAGoE+1RPBfES6H/7GfiGFBjIPpXABQTQ6xUzXW2FWoFEu26VEWotfVRlWKsnXFowRrX60ABMmcE1e5nXSVPo+3fgdTSMK8mRtUDj60o4jbgl8sCfXgENjW5yApSY6xm+jm2sxgKhJlO73BUpAv9krxnEBjnasI7XVAmzIWo5860RESB1Ws/Q9szWxQxrGT9RFU62OA5qQFIp4xwYY1tORDhCJcICQVYM8KaqWQ9ks5YbyhU5HMRMs88iKC8PaBOkejQc6Zi9GHgfT+e6cN9ft9YVk6/9VreanV57jRzcsxUPNKbjgsQzOn3348PGelpMX0VsweWvBxO7Lqh40DNA8BqYY1xB6DeDciHgLDEVoqi8Topo4HU58aU0y6QxQ9Fewa+3hxyvU6KVRXURJS7TCyJI4JtQcacECMp4+FS+54CAGOd5LsRZRcQL0K/tFSk57X7sa3+VlFG1gRDGAxKAYaHBenhTAbdfuj+gYEecebaWe/I1AurXmkieJBdcke40rni7t9U7L+lCNPpR4pwEdz8ksjo/AZYb7WheCEDw4P0RJcC9z9V3P5ywXqXcPqSVOP1hjW+r/91xf2/esLydo+nn5Bumqxf7XBiomI8VkzvV9RInYeapK2TdS+4vA3Ie+D8w0q9jjOpz1sxLI28t937jOHDjPnulvRdW2txUdz8mvY4zdViDiZZ8k3A+z9NWG8VN78S7L6vpCbvGGwPJ4opTh94T9//3RGnP10gzwmH/2/AcLREllK0aX5bgXcB00NBvFSEkpB30vbEchtw/GoHpyLHVbEeSPPfvVPc/fyCOgQ8/q0JeUfBLQpdUUhKA/D9f3VAWAbc/rpierciHgLCygD8N/9dAEGw+5po9f77itufPmL+wQ2OPxqZtLCgePed4PBrT5goykFw/oGi7BXTdwHTe0W+IeraAKoC7L/u43T5TBAWQbpEMhQtwetsl2ABacjAeidWO6uokwJnwfhMsbHT5xF5z/10+BVQR+BX/7094gx8+Z9esPvVE5YvbzG/GUw8jGt6viMten4tOH1FkbPpQaHr3yzK/d2RXL8CJzlkadzv0P4YFSpIQzOvMrt+VaB7DLAD25wcpVOqNRCVCzQksHqmj5ydl9fLDLf/bOvwAw2d7BlnaShYy6T/VZ/t790oxDrl5+V7O+JJhytk7fVaGUaRJCVNLa3Wak1TJER9PYoAAQAASURBVL3xRYsLffmc5vRdqcra7wRoTlBDyC1bStqWO3YUU2iGVZi1FBt3BgKeVaTDKwWWbXwxRp7xNoQ7bA8Lc2gp8tLnobXI+G1z6UHp1sErLzaAiz7F/oztc/weZvTx3IhE9fu2Q6rS6RdFq8XdZvQ9m/0RSuX36mt18xxUrlYgancCt0hE/cTnbZ9tOzYvESsJ8LraFuDGzVp+yQiAJTOkflzTKp3OeBWofeLiAdyblQdoQ7u53g3B9XErlYyL+mI+t4wPv2cJ2NJsPzkW/vqNWE+jZYuCxStgYiEaZc6TMc5CcHIEgjFBO8W2rctgY6bCfVqU4+a2ZHsv/jyQLhb08n63Kcrtc3/qj18e3FkArDX00hDZrLdPzdWnGAv2WikBzsyRioZMNtT2I/TZpgZoDIStTXJ6noRrBWIXXWKSUTdjw8TJFTLuX/c3sfk+hx7k+a9eosJqNj5Go9dvfu82KH7CFr24gsXMrezaHNSwag9w/ZdeD13jx/eyvT9HMj3hV42P8WJtNYbKdl+2xIgF/gK0kqCNyrVn2cPqUQC6PsYm8OHy/MRciGAr8qjbNRqkM6k2qKZWsqw0bN4bFG3TNVu9Wb/inthfsRf8DNmOp2sP+EtaqYHZn9z3hlTp4i/V17ndljkwjbFT1VSP0e2CBQxb1hmFhHhvoXSbBwCNNqxEGj0gJHezjy+cnozSzyn185RzyLjdzreX553ac+s1YtvHafNd22tjB5vastVeBq/BtOTl9R+3hfUamQeYoFhWMrQQO1sJsDKrfi8t2JONPwE+n3d4aCiz+5mxj/sWySW7Y/Neew8UHdH09W7opiqTD8HaKzkK3DUbet1883Ht/gQeLCpZctrXSgsshai6FAITMg6oQTbCnn3P9GdiEo25a0FDeX2dbebUEcd5FdLMIcYq6fNJ+iTf67be2wTFRTGYkn58NaJ9mW1FmE1rY2uX+/5xZnspicEo4mg22etAa7LvS5s94X9geElF88m2voXX2TY/YwUTsIXPVKMJS41EJYuhsW2+Lb6IM5PtcRn60vd17GNrdcOcdxOCzaTseiK/jhShAgwNrdfrluvFBwkok6LcVIRzQDzzF+stvzu/EwqYKrp+xaigWFhf900vJHAMdaWtDoVJBw19PssElH1tiRdXhFZL/sKSfU1DwlDUljiyua0QSNDOZixcFw0Rtn3le7mOQNkxIE5nYI1APrjekideeT9SCIJQWTug2Fx3hlj/3L/u+t1rcm/2QCZqNBwrdt8a4raa4bMgIKy22JeKeKLUeatZ3Cxcd7jrNPAQFn5OHSPqD15xca8F4VT766Og3h36/1cQ/clDk1t3CmQLPgGqwu7Ha6euGRIzrOOAejNdDS6y16EZshYCEYAUIHMgCum1dJG92uoQUHbB6h5sISgRLVGr5fTD0gx+vh0hRRFPC9KxmCIws9utlcPF2hmZQrCU0lEwd7IbgvRxoNsOwRiIrOeKeFyJtO8Syi6xlmfHYnugQlSQD+zZ5YrPNVpGFUA6mziUUYdC0UZJaJdnHQ8jIPdNWCaufM46DGitDTZXPbDhliwZ4XnmHKUIIFqvR0MONi13+IbuKKnVySpsLK0VQfQ1otprI32olgUI7J0Z1kqKjpgRM6GwNNOZbQYnBkONutiKO6cNjXNE1AIUmU1UTKTXWW/qXhtjwVFXb7UTAxB3VzWnKKYeGwOQqIrcmAfb54wjWssrWxcaYD1wY3fItxn0DVrSWAGGuNSR6pKk9tgaMJVED5DibIwOdxSNCSCO3jmV3etRt4rp3tPanlPPZ5trvU4QSGjtdho66XXd0Sh+AlOBFeSb1BR/w+JzyPuOF22Gu06sIQ+mBO3IZaeWsb+mVIXsx+YYbWnLbX59H1rgowkMkIfUz0UPVoBe4mGU59ZWymmrrmYbgglrSH/tmml3vd3LIkTGa1eLlhBMCKhgOFWMH3iP4xP3+u6hIh2r0RztsHFE3bfakok6VJtPEQSrIQyXTObNEuEKsfG4ALVyPsbE9bR9Ppv/l3Tkj1o/1dz7x7r99gVRTZxwE4SpswTM8XfbqlVQb3ct8EatwDQg3xiitlZgRUtcysZEaXC7oFcU5V47KzZn4DPuJtJLN0JKGIjgtvZ43ibOW3xpty/y5hWVkPcU2JGLqdH7mowRdZ8a5djVravZ37zfnn1GZUNq/79NBkrURlEOpdKHGSI0KrDz84cK8HB019euncN1jJawtvNzRqsb9dYq9TDauV8bvbXbND479R+ss4EjmFaD3IJVS5hpipC7O0gdgUdbo8cLoilCjccbxIudARdznM1e9eDUhh4AJu7tdBLIpTT7pdXZAVyfeS/W63KFitVjRhM4OmeUXcJ6R9Q7nisp7HOB2Dr1FjVe/qKJCF/TRrCypJAr5HmBl97Uwc7ye2Nf5Yrk+hymmB2s3+7y1T00CL97sbN3K9JUFUBsQa7XXDpaVwZBq981Kuz4RLZGmSLqm11LaDfKclVEY/B5ssXvsyGTyjpFtf2mY7ra655ILiOflcEcEdUyCda9tPnzgNVrzikoJs1/Gc7afC4oIAmotq+9r+h6F5FvAsYPgiSkia+HxHrdD3Nj+oQ1NIqs+ziIgrxPJoyFlkD1ZO/wTEHR4H6x7as6BOR9tP7EPEe9JRVAlgBFutDKttKlkOFk1/IqIhjdtIwMkIpUnL+MtE8XYDgKljtgeaVMkliw2ESGPguo6ZZnXisv4u+ev4p4+KO3iBfTlwnA8auAOgDTe9bQ5n2AygS26yESfHlLVDLOVBsWFei31MQYH7i+1lvg6W8J0hG4/8uCkIHjVyOqIcaHX5NlsXtXUEfBhz9JWG+B/TfA/jtBNfEjKPDmP2Np4+W1trrymgDsgPNnAeuNYPdeMDxnHL6t0H8yoUYGm8ud1awalXr8QDXlOgasQXB5HdmGaOBrykSF6P8fb3+7I8mSZAliR1TVzNw9IvLr1q26VdXV093T3RgOZjg7IBcgwTfgA/AJ+QB8BP7hEgR2sUvODLizM5z+qO6q6rofmRkRHu5mpqrCH0dEVT3ureoGajEGJDIzwj/M9ENU5MiRI17nGzcKYN19R3v+/ItjA0jixexsIiV5/sxA8PynGZgqwjZD40R2x4WMj7d/JZAq2E+KmoD1bcD+b95hfR/w8osMJMX0TUJ6kcYqoiAcv4PZGRhIoZieyEiEBcJek7vfMdl292sm39Y3PCvSi7Y67nKgfUoXGEOPflI+uv0Drm/JTrl8Kcj3iru/FZy+3pHPASEHlBn47b+doP/t+2Zj5s/Am1/SnqSVLMn494ryW5Y4vG7Z+vuuPzzIna0tDYiETM9spt652kbnsXoM9odzcY1AqtyIPFcAQdth3OoNrBG5VEVaS3cAANbBLCY6YJQnAHBRo4Zyjy0PagUw37bIqUJk1+9F6Ajne1JHvEl58O/ex8OegUir2wC6sxH6AqqTORiGgtHoo/HWWz1jVdSFytHyWBm4zpPRQyPqISK4w1ZqM44olUEvMNRdWtAwZnUGx9mDLkfUg/VA1NNkAg/W01IAKcxa5SMpQZM5vJoCawoASKUaZUc1rbWT+sD4oWjy+5gghW00qJxszlDR1iurTdFE2nfKFEzSFEkDDejo9ODQjw5hy4p55s2f3WT6KeZhmXI73NuVMzDPDJyq9qDNsrguEe+0FqdtQhUjPVhftfm5UQe2wFSuNn+z10pPRoUd5m2s2fO5HpXAfRzUPHUPDJvydv/e760NX1fer9BrlP3y5xmck97b2uoVkyG0FiQ2lVD7KxTSXVvScshUqwiDUw8K6zCvPlZB0PqfigBabl9j84zEgE5dUTz2Z6yzyeAbYl4WHopSDfvRHrSIaQy42l/IimgBXqPQucPttkMVmBgQy1poG0bj7HZJDZZsWRn0uXVtgfF9LpBVBqrtuPYtKwmEm3m92Q8hNODlRl3Z62QrHdV05dykFwZt6UKV0bEX6djKjGtrACfMpmitEJgYnPUYlZWBjrxcCRbeHftnNodW+34cMqs3e2DIZsn4/EPmENYz2sdPfN+LsLZaB4AkABoNRDK2kKv7i4It3FShEm7a3I1ZFClMSjYm0+s6egdzRtAJ6AH6K/DL5+SGqu3BrYFg3nbkpk7aQCcNVh8mpoppJQT5wIeOLjIS6byMUV2rJYXT1Kz2PgKqgee1ZYXDCoSXvTMx/DmdLZTIcBBvM1tMEKeoAWnGphCC39+rezZ7WV3V3bKUEpTLog7BdavdFwLaA7un9VRXUhpDBlDZWsTbB/UX395EjVb7Kb6n0LKmUvg3Eu0ENhMQFLTnCltFuGSCgQsd1rArVK2e85pR58QyIFsvsMBMp4iYawe67PeuS1GPk7VbCnB/1oXhWlbQWTPBVEoXwfIpI24ZiJZ8aKCjj4H9ZUGQZwFr1OYbeCAZ19pbDyVnDQBSLRB2MMwzvTZ+wefNM7p7RbQkSAPv2v7h2tRAmx1cKAfuZ3mQJv3+7VyWlmm3X1z0lp1iAkSisBIlIC+MltMlQK/MPJVj6BlqYwZw7dn3Sc/G1qm3tBl7D0uGBbhbt5m2pjUI6sK2Tf4zClsS0CwLM3nOwpAidg998ZaZcwDY8yaWMOz3wcoJBdOT1V22PYZ+LgdmJWuk6M/hk7bgXwOFpF7+KGP+NpJeGhgYlqMiXQR6VlLdQw+4amLLnO1dxfwxYH7kuE9n3sPymTWm+51ge18hNbRes+evAtZ3pP0ePiqmc8HycUU+TciHhO19xfTMeaEKL1WET3+1IT1v2P/VAy5HNOCjKutRawKmc0AKgump4GFXbPcBT38c2OLnTlFnRTqzLWrYOO4SrT3Tna07a0VUFgNMToAmwfIdMD8W5LuIy3vOm5dxtmCgWtY1CcLdjsOJvWi3Z2sTtQLzc8XDf36GlILnf/4W13cB+QCUdwHbOyC+3SGiqI8RullJpAW08TrM62DgwgbMZ6PcHz0jzbmaXhTLY6Hw3BuCF8evFcsTf5Y3fqbX+qeLrw+WrRLcY9yT79VEzSKmc4YUtq3aHoDHv6iQDxvqOUGuTLHXKIgWMwIeSGurp/6vV5N72SAboNuGcC2YzgCgLXibn0pTBxZ3DozeyvS2NhoWiiK8XKFBmDH3mhx3SDzIvG6tKbzT0KqwDjNcc8+iev8+zIZimuqwq/ea89mQYoA90SS29geotdXbNHrdWngPQHOeHXlDTWRaLxPqu1M73Fv6vwIiilC46fc7fu900wD7NutZDwki5gBWQMQESyqghwUSTWxi27uhVKUSLQAszGJJYT0PH8Ke12pxASBsppJ6ZEC0P0wox4D9RKRLCutHXDkxbkpHyfrN+aIrS0CdtQlR1Clgf2MZWMveVEMgA8AWO3ZPpFWpqbNKQ2m93o9OniksPhxvxonqoa8y1R5EupMpA/VwEnMQSs/6mnCQBmWv5B+4wlowPRGxCjs3+PxUkS5E6OPLfuv8e3Az9FNVC2qa01opoiSvKa6uoJo7Q6FlVkdn1oGbQKcTAJoislNnY88gi312E90a18T0yiyoORnj941BMUBn+phav1+1gK8sTg23l6094PUa3bAWcwzssM6wervC+kTVXhPsjnMFN5MqSMW2uhN9/ezS3tf6rVpmgSh5aA7/fqJUPyxDMYqg8Ln7etCkUJmZHQKfzwNmqYpYizkzRlNzUavYP2/M/Lba0PGqPtaDMwX0ZxgCsfbOGzAH7XsEDIp8PzSRtnHeh/lGqUjnjMO3FOtoSu87RZO8bZCoEmCs2uvGx7VZlEGllVx4P2oMwZge2NasBXjjnhmDpTH4bVneHvxpEKj3MHxNBfc+roMT3cCciZkqKf08aK112lz4YdvHFOa4Vesj2ItJYXTXHvy7I9/qV0sPANvzqsLroxvrKASo0ep5Dkba+N07FYT+98Bi8B7njfKYxJhE0u63WkArFsCGYgHLbFkmq/mDtdGoM9de2BS4FqP1lpbNJ+BnQoXFz3f0nqcVCGvugJY/P0B7aKyiMPahDsBYxuTAm5TevkenaO2Y6i1YNjO7HLYMeblC6nCupgid2Cmgzi4WCTi9Ll6oJZJWCkCi30Jjd4SsXYTIgCjdAl+3dd+1HJkl9v2YTxF1OhA0qR5YcU1VW6Osm+aYOZVZZ5/LALGaWmcA1DnCaeiyOzgiqEGQ305GRfdgGD2bWNQCCNtDRdoz+X25g03nkua2mPBLOfBnZC2g+TneeqgpdW/orA/Q9iMKUi6c72GvhXU3wKPv0XrsZ5IY1djF0Jw6Hq2W11vTlIVrtgW4tjduanETe5nKJEhrhRRLQgzHIjCAtL6eh8+sc4QEQTmQwYRrQdgsAD+aD6vMwkq2OQiWOFAD7u8WyGlufkqwOSgmiOZga50E1x8v5otVhLUyEzre32C2jr/NKF8q8tE6Gnw7NUprCYL9HgC43w/f8bnzkfc7PRtV+ZltpTR2FXBvb7l8p4AmhAKs73ifIQPy4n122SUhXgiSHj5bX9YjA5m4MpiSqkhnghc1AeuD+cWPBjxVBtXrO/aEDTlgOiuACNQFdRaLPQJb8mQF1Pq6JsGnv1ggecH+YF0ets6i9CSTA1Hb24TLF0b/L4BcgXQmGLW+U7z8IiM9R4gyEbO+Y89oyfRdplVw+IbnwX4C2xPdC15+PFHk6a7b15AVyyeB6IR4oZGJV2D5X46o8Yi7b3qG3NuZvfzxHSDApz+PWL9QTJ8Z9GsUbF8vqFExnwMBRysd1QRcfiLsBRwB2ZldLQdB2BTzY0GdBJcvE/IJTXBvZ90K36O2r2Zgu2OPYp4JYCcV32Jqgf+Re3E6o1GhJQu2t8DHPz+gLPx3nW0arxHpY8LyiSDC5UehMYGd4q6BNnk6682e/H3XHx7kXlfoBmDfEM8r5qcD6bdXGuDpeSdiX7zFQCQNRwDJ1pfVaFVSFHi5WODhVN/UlHXFaccvV2YrLUtD58huaN2YKdh3Nhk/HhvqqYeBaw8z4ivFGZzuq0cKOQSYI+gHs/T6mrDubG0yU8TGKT51ojNXkVCOCfsbo26vt/UqAXTGHWlyeoAogBcwSArWbFyEbR7mRCGoa2ZRubrQzIx6WhBeVlKXR+fOBHrwQEEnqfUWLYxdjl/2injNzGgdJwam9ywUX98EbG+56OOVh+XxG6rc1Zn98/ywcbqQBqEY01VRF0FePGOgw4EDoFJ4w4McBAsOUaFz5L1VJQXcAALRavd96MCGaqPuOPihQ0BEUMCEWBwlnSNCqYif184McPVc1Zugpl1KFH55NPEYM1TT552I7GXnGiy1ZyJfZZyg2qmoIw23ZXUHxLpYO5vcM4QAushWVQZ4Rk0GjJ4swv0xpc5ecGq3MJNNz34InhxsGmsAYUFZcoertAzTqHCpKaAcE+s8Ese4GnXHUVwfL9nRnBStaAqfGgMzn6sFuHuGXklJF++B68EB0MZXPJNqQAJi7LXEDoR5IGk/0xjYxiIxEK+JkvX5OAa3dr/FsxE6OKUCPfGz4lYRNm2IfXBHZreMg603z+qql1T4VV7tyzEbHwMQXDjCkQJb34ktvsJeqBrqWTOfxzHLWaWvC/vO39Ub2QOu+HTF6R86uDDWLUmpZs8DHdAKMjEua6fi2xpun1nsvpwybuu5Hua+BxzAsMxtKx8Ys9WvPtuDPpwOFBWzMg4HlACgHmeUOzqR4ZpvMs+NhbNmhBdrPWXtgtp9OZ3RfyS+rqWtIQBDbVhtQC/nTZuGRBNJCgJvL9Xm3y8TjUMwyn1w0SYBrht0XWnPLQgWy3SJqp2JobFePKOVD4E1aQsd+0bj9PHeGfg2ARpl3Vswg50XOjYpGdhc+B7ABKj8fJ8sU14EqEYL95ZuFxN7c6BmzLaDQVB4IYBcD7PZHWsPlAJqNLrzlmkL/Bm9JmwAQ+ohMWh8BuJjscjM5jwl6N2Bwk2T3GavKjCfFdO5tqDEgz4Cr8FKMLpgpn9n2AlkenlUOU7Y3s090FJrnxPNFxh6RcNAsioEC721TVrZumg/JmbvbD7DVjF/XI31RdsbtkKAOAaUKaLOAZcfJeQDMD8rppdhrAuocmxCif6M7jxK5v6JawUkIFtAKxbcAmgqqmKBve9Lr42tExV4nbXjXTPKwSjQL5kUeysfQVEymfaMYHakzpFAgQLxkhugBdMBcT2TYC0i46akUi4UF+I9wejKANRrCIGaFPtRjMZpYNwY5GofK+/MUC077TakLhEyBZQD/SWpAbgQWMonrpXphWdEXAup4t4yKVhG9hhbCUG6FMzfXqAiiIcIILRs3H5iRi3swP2vKuK1ID5dIS8r9LQgvz3e7Kfj3z/j+nCyjCZw/C3PuetPKjRV7CvvYXoGjh8pkPTyM/pjd78Cjt8WHL65Iv32EflHD3j88zvUKJgufJ673wKHT4L1reD8c37n9CSQK7B+odjfVMSXgOmR3/HmlwXpnJGXA1BDY46EXbB8Mkrxe0E+8RnmT4LpmfejSbC9U+hXK7brAct3LopmJTWfSaOdXvqeYhso4OWngEbF8pH3MT0rjt9WJppsjlQYEPuzSGFP2XihuNN0rvj63yZ8+c8+4vPzEc/1jkHfoaJO4Hc/C+bPijd/naFRKHj1xrLbiyXkTERreuLfh28V82cPFkn5/eLf1wbaqAj2u4DtjSBPwPaQUBfg+S93vPvxE57/43s8GLW3zKa4bD2rnWm4vQUuP89AUMgaIFafnQ+C6RFYvmM2fL9PWD9UpHNgv+sJqAuBfw+Y6wxs1jvbKdr7HcfXAcCyKOqBcx/20NmqmXO4vQXqUlEfyHLBHiBrxOE7wf3fVWwPgsuXXAPOrikHfvfynWD5nP8rCk+1QIJBbTNmG2tMAHDTKQffA4gmzON/PCqfphtnvl0VjYbENjrD70tFWHOvu1Vl38yxN2XpvwPQ1IgbXdlFj9x/WiKKi9A45cmFOGbz3q2XIeu67DBs9YUDOms+nBe8E01HKwTnl/S/2/dMvKcw3oMHHo6Sj8IsLbMd4EqXUNbrhevW6W825q9r3NTouvnEOpDXRfpVAJn4TPloB5AV4o8Nu5vwhp1DTudtY+lor8LUdrVl+MXTu9rHk/MVgISm4ikIcDEu76U59nK0wbEi/+GzLUBwh/1WvMLeXC1TNWbWhsBDSkG6GOLqwgPuvI7j+loYZ3Dsf/BnYyBs9+HUxbFH7Y3D3+4vAMFe52vA14W1TxnraNUVey2ovVFhHYdQYHsbYIoTt68xCmKdk2XwOxLeaJG2DrznWo2M2zQJKYQW2IjY2mjZ2ABZ5p6d/SGhJhtDge2lGnr22rOgYx3rIEiig4ImqUZc62MNl7dMgI5AlWCsnQfQxUGcvmj35Z8DK1lQV26P6HNodOq2Htqcym0Wtw6f29bxEPiJGG31NshlcKY+QH2txQCJATLS8kuFSm32POz+XpuXEWQIRt+1feQZXG8XN95Xe67Bxjbhn/H37bN5sLaeuLmDUDfq0v4dHggKs+aYEksD3FFeEupMO10ldduguGUzjP8ebJKauI23wNBItcwyB+TF1o1v48pMlWfyw643gALv8VWq6LVtcIryCNaEYd5S6qyVYb5JR7W/zabXJTSHpExkKbR1bveryXAFt93DVhsFelqbLwW8Bl5VeuZ7YKf42aqDirfYGdZa0Ukv3fGzWu25HBByKrnX+4sCQRUi9QdtbKcxy6v1NNqtbu/jSufY6XZUy6+tj+rNx9+cCbBAPbTn4Hf68ww2woNcMIskdma6YE/YatMnAOy91mrKM9RhY1eKskRzLqUBTHU2PQSJRk9HAxxH0aib8h9PUIswqI4D8CBAuWPp2fYQkQ/SAlsGA/15RtEfwL7X+uiK0WdHVgOAJj7HCTDmgYCMl+PC/Wt16eLZe+3aDYg92HTa8n5PQC4faNP5B83BVoBsB/W17H6PogagFGG1hgWU7XXt9a/KMtDHj3oT1n7H7qdTpTtdtwm+WSYXwVogZgXmgGrnZn5YGBBNne7sQkkuyuTlERojZEpdU2BI5eoxIW4V8xNpofmO9xrWAOwUDXKRqf3exqtYhnlW9nitCzS+Q77r4cJ2F0jFtfWiwgQIv5R/pbMg7BGu3aAR2N5EBmIBrd1ahTRx2lHM04WeahLsD5GMgQzk5wlSrE7W2Ce+H1XQWDX5RGEj+q/cg2FngIvKWlHOD++5ToKinqHkXiyLs7wETsX4/HxE3iKwKAH4IkgZiBdBNJXhcjRw40yQPBTOW10MGAIwilj1jUFbvL5hBxYXAWPiiPeYTwzckQVPz0fURfH0x56Zdf+aY+BtG6vn96rQp9kFofA1dQL2+wl1Ya2xfg6tvZDa78kqsz1erIQgWdbfgFJRGYAubjbZpftT1cq8Vpa1lCOwpWi1/LTPNZLd6m2L2vyYnQn2+dt9aODGP3b94UGuKaJqYSCVzhSTiZ5dS6G3CjIhCDGqbe8fCggKjcXDCTf0PaNyCQDsXFR6fyTV8cJ2C7LtiN+sDf2nYqWpKdofKRX6/MLve//GMqBzQwh77zMuku3tjO1NRLoolu9WOF2oRqs9vJ87rV1NhKa9XyELabasaSCFMx9tIx24ASkNb+l4oNVhsM2NMNgU69VVFFICHbimQKuU2x8Cd7Y+Ah1QD2SuK/B8hkwT4C2VhpYcfG+gitkScX0fmWW+Y4Cej33zeG8xUrxkEBWzLC3QaE3BMnZSFNOzOTAu+LBVIrBbbfQ0iqN0RyqcV8j5Aj0s2H72hgji48bMrVTEnU7P/m7phg64Ua+U3VSQYQZxilY7VhA/X+gA3y0oyShlIqRdrvk2qAq9di48X3H4xujXvqa9XZA74yJdHMrXpQciNxRa/3w679IUV32OTbTqJuPb539UAJd5vnXKLGOox4UZLttrLlzmIiVqNeIuisMDZ3BI9kqn0q2Znw2qqCmi3M8oS8T6LnaaL7hu9jtzEFyxcaIxZKVCgIspiiqw13bfTQjLSgxwWdkSLIRbSjrQ/t+o4R4YDIG9Hqbeb9Lmp8ykX9GowuppgDop8ok3ls5Wu3SWW8enAMsTxfTKHFAO3MesVzXHJ3FTmxng+oiAK7+2AHkO0OPU5wdodGJmFIdsFtAoqI3+NwidlONkYJU5XlkJAHpwYgGbpoCQZ2BZ+rgDFFiD2ZbrRjsOf24Gay7gUmdmP+O351tmAWyofA7D7bgjwkpPSgdNBgAPQKN2w2lQF9asaYoNoHHmg5eh8Lv43rqwzrwmAhtloXPVbw6tBVLYB7qzCfM0qvcUUQ9GExVmZ/Y7OlzbA7Nbmno2y7UVvNVScopyhdErBVSTHQCI0RkeRLM8+Pd2Tq18Z2gDduNIi8B7ZOvkQGXA9R3teTnAss50tHwsHLgJhsK7w+5OZ3f66cQzQ1BbkAARFJun+LLTrqaI/cOJwIIFOAGAZtNvOJrOgC29sGaWjYSAepr6z64Frgxd58T2KWDGRHJ9VRPNYL8eJmgSBlcemMSIUWOhgdu5Yv60440FZNOzibPZx9aZ2VDUV3XVHtBaDXG+n+z5s7Uaq8zmuxjQAEg15WT/KKP6o4LU/0ABr5i9RSJr18OW+TlfHJFPM/JBkA+zrTvL5BgwfXOfbrZ3Cly1wDsAZQrmOE8UvcvcF3USXD4klAVGx+Se6SVJNm9GDQ473wsBM40ZmJ4L0qW2M15jYOtHtX6wFji6AKDv13zPzHf6tCI8X6g+fEgMcA1kKxOZOK0/5yx4+XLqYKXVfe5vKiQL0sWCzwjbqFYWk4D9ILbO6WyPHQBcYbZR91/jrNL/xGu1en00Zp+D/WUWC2jITKspGGUXSE874mVHvp+hdwnlwOw7gKaMnA+9pjdZDbmz0UTR2Cg1Bgw8MVw/HHB8zDj89orHf36H88/5u/mT14LTVu13wOXHFCYiNRfY3pBp+CwBENJpDx8JOp1/xrY/7EfLOTh8oxZcMiC7/6Xi8LHg+j7i5Svaycd/xjmbnkiTr1FQd20q3QCzkLAAs0QGQ49/TJCRIkkcm+0tfQnJ3fZCzbeGYHsDrD/mL2UPkE2wfFQ8/O2O559N+PwXXLvH35BtsJ8oWLa9AfJ9gSjBBckETuJmNaZ/ewdMinoqqCo4/Cq17PD8RIbm81dsl/rwdxnTc8Z+SijHgMuHgOsXgJgdljok1gzIKwfg/HMCrNMT6dp+easlTYrpc0T4OmL9xYZf/Ovf4NP1iH/4zTtgDaiPsenGOKtOsgBFMH8mTdwTVPlO8PTHM6QAp9/UFlSXmQHn9s72upUcxAtLE/IRuP64ImyC5TuupfTCNbvfG0vVzw97f9gFh28Ud7+tWB8Czj+PVF1eaHPzveLZ9mPr5GDXdOa6L5Pg/NPQqPz/2PWHC09VC/HdcfMWCS617g69O/oVnVZkl7cT+GFZe+3v5avxvTYOqj0gGTMbY5sU3mx/jSPK5iRoMIEYy+DVKVitAMyQWG/HKKjWl1MGB6YFuP7djrbFHvT532Vm0Ehj2hE61kqMCGxHToen4PVaiKUN5u/4twezViPzuqbS0cJWrzXzXsZG4WIBkoolGS1LpYXUh/F+b+cQ3ZlTA3nqq+APIIAhApiCM4Be39eCIcDFycZ7v+m9WM0ns6yOVgYGntGtib1n2+vFv3sYt9fZUl/DAB0YU4t2qtq4pke6aXvGYa68vuR2jF59n33PD2Xdv3d5JsfreV9/zpjZNeS1Wg156/nZX8yxrb6utdV5KiqaGq071YHAj7chaYghaCi95s+ny0UNQhic5/H5h2xl+zPWVf9jdm3MevnnjgGWZ1w8sBc0RJU1imqBrr09WasT2wdNjOR3XW4HBKzFRV+77X5w+39X+eU92hoaxJAorBO6xffnc/ZLQM+GRM5n63cdLdiEUVvFWw8MYyTDoIrwAz1J6EFrEw7rdri9xTUOPGP3u2xQeDV2vqY9C/5qbL7XyuSH1rV2oEfN7iJJr0X1TIiJoXlGhUG7WCsjNTvcVcz98z0j46BBa7kQjY2zdGdBdFiyyZzvLAhBAK9Htu9TDMJhtdtOz9S2elwfT/99tfvyTPC4Tzx7D/T7tntv55Ct7VZKbse3Z+acqn9z4Ei36U0BfZgjcV2NV/PkehStBY9IX+vRg3JfG743b5/t5qy3pQnAbJaDD7aGrFbSAQnB77Gb7cwBA8prsYCpwjPybqtdR+JGbE2Hs879iDHDPXyHZIWYAVSRJrbUlKv9/KiV9dcuWPgD54GLNfl4OLgbhNu4zJYF0T63+trW2ji2DhLCvVEmQYRCd45hmf3z2PdSCp3UkekCby32ap20mtUbv2gY/jJk/GO3V329yg/aevpCft9ombDmY028b653e26z6z3IfTUmdq8OBvjZrE4xsDXfWriYLWg12j6P0n+vw72NcxViFwBrpQJhWOc+Ds44CgCgze6M2i6wzF4oAtTQ/Zdh2eRTgA7tsdoYBr7M61NxAnQy/QgD6vy1LiLpIIa31vMzUyYgFrQer+IAiAGIoYRud722c5Nmb5qYmSu3Zw5YncxPD2iqv412bt/fcgfmY7jP3YXF7CFq/56WnAp9rgGWKtWJ2V9MCjXtGBHaebfB6QKUKqj37sz2z2y+hIn3EWQuCEvktvV1IS6gpLfjkNXOcjThztGnqsnmKdFXChtF3350OKNowG9jNWZJX3dtrY/2fbiXOhFEiTtVjFvZQu6Z5LYWh7OBrYXUMrmm1VPcTliNvu8PdHsUdiYD4iJtHQCC2kRZlRnnPNxrW7y2F1Vuf/57rj88yH1+Bt58QHhzD10mo4BW1jbViriaR7tnKhqOCLS1SnDhEMml18iasqxsO7OOU6KKLkDqbVU6V1a3pMeFRnPdeEDcnVjT24x4hLx5gAfE8nSBU5vKErC/TdyghYPoIjRlEeTjbPUzAGtAaKTDrtYMukJtcYxCH1IUmJjBZd0fF1U+KfZ3zLLFJZih4UqoKWI/Up04XccgWq2maeuDH0PLyIXVaqJ0h2SvPWI2Qx/uSK22mkWNATjMUEPHNTBrvL1hYL+9kWbAnD7RqDIYNldbzNyou9UzigKyo6kNA+hKvRiMTAV0CsjeDN4ozeXIuUhToFy/CNKzrYtWw21OaQqsxRkOWBcEgZh6c4TVMrFGJi8B00ts2TAPCjxQ9bpvKdc+1sJ1qnuGrBvFMYDvU2hThKaJc/V8adlYzldsdEhx6pyDOHmn0+t1tKJsRTFSNYHB4RO0VjFBLJNW+nf597kTtRdSit/MqClgf2Bmq0xoNWmtT6EZFtZUM+PurSxCtExHoKPhmfE6s9anLKTTsFecIr8tkF0wfySy6IJrRMfRKYUts1dxE5T/UL/cwTm7AbjGMXIHcxBik5xQ7mbkh5nrwZazOyTlyBqiHnibEzlpd2yKCYhUGF2O9SZxc9CK9+o95dKVgnthL2SwjHNYlIDBBAJnw+/GYItBEaBLavPTasf8QDvQppYlNPErFxsrR2ZB6sLWMGErBHlKpWp47jZFDgtkueO6OsxNrX6sO2zjWZTPZKyb1v7GRcN8GKUHnbLvkOuO/oWdXirWeq3NnSpwdce+wIWuJJeeJZaBKivSx2oy1o2h43UW7KYIn48cw3Qx9PkqiFcHEMiGiGttY+zOt/fwq4mKp/u9YH8AalToxLMjXk3EKPAAr2elg2viKpJDazeCUjrzw9e11SvLPJGmPwSPN2JhzlSIsQeMBl5xX3aWBt9MBdB85PlTHgokC+I5tLUshUj8dKaNbwqWr5znJroFtb9NMdjqOnWeWgZerN6zCQmagJDsLK0oh9gomcHfY3uIGT0KUbEjg31/MEEftYAiAaVEyD2pu+l6Wzcum9VsDzW5LHuKBK6DiW5NAdcfL1ARzJ+trctW2NZH+5nidZkssbEM9pUMtvCy8xw+TshH6ozEF55dzF6bj2A2oi6B4kGfr9YjNbFHqpXeSFZE12SwrgcOrvM+bDysxjofWC87UpOd6hj2ACA1Wz+KXjntHqiIF571dWYWLd8r8n0FqgEWdtZKBZY9IKoBPSe2F5mfjCFRrD/n0rU1PEiPZ+pg1LsFZUkM2LxMSwBYnTHeHOmjRK4ztSy/FEV6qVjfRlw/cA6o+KysXbznc6ULg97tJ1SOxu43H1smM1561nZUGNfMtR6yIr0AYa8Ub5uC1QDb2B0i93jqAMCNQnUxheEIAAGSh4RABK5fzgDmGwBueSw38+v+V9A+r+sbfu/yUTDnHV6CpYPtffxnEfp5wfw0YT+RTpvvFJc/pQ1e/ocZb36Z8YiE/UEQr6wpDTsY8FTt4LX5eBDWv86PMB+Z6vvH74oF7szO7SdBPk5Y3wvWDxyL6ZHMpqc/oQ2av464/yXPz/mxIGx1aJsUsb7HzbW9V5QDs4dh97OIvvmymuqx1YnHK3D8u2RrmWO23wmef0bxrfu/Rju7awQ+/4uCh1884gBgAbBtCet3R+4r4VhMT2wjtd8D+UeApIr9oXLuv+BcxZV1vygUmROdcflRwvUdtW3yidnS/YHnUnpRa+XEvVNmQbqGRrtWMer1ndp6MMAm2Dq9Rvy73/4U13UCnieEVZCeBelq+zIRpKonoMaK7S0DUgf5a6I/miHMuAtw+AY4WI103Ah2re/Q+wuLtSU6h9aKiqJU9APjqjh8zdfvD7b2PVcxce2WmWJocQPkcw+CVUyQ1NpU5aNY3S+Br/mT4t1/ziijH/F7rj84yK3XDfIuWBsXC1jtABeri9UgkHWHbhszEilRLMbpVwPNWFc2zhOvUcv8mYgAR1vU3h7GneLgmaZ+HiNGqnaOdbiLGcjrZgrMpR+oJj5DqmavRQXQaCI+kTogXWHDbQ2E11yI12TdoottYR4KUASlCnRHo9g4iudKy50maAdTLmg1hoCpOtsBYocwf2FjWgFMif31TADMHUuOvx3ak9eyoN1rQ6cCWNNgGS2Boz2w+0Kr0/HgxWuNHLEe64JGVLFGZhOJxNU2XpoEtUQqS7szDaAL6/TaPD94BdwgrM3uRfBee0l1QFPQRUBc05ChsvvLasEshcvaFYS0TnUhKFc2GLJrDuC4iFqt/IyBwtle+xqGKoV0XKCrG3sA7KI9nq1pn4FhLZTbgHC8b/+sYPS0OWA/hrbGy0yjIrlTjX2uwi4sZauW9aoGllgGxRkHfhDXyRyjg6LcV8hdhq4R9TlAqq3xAS2/HYPaMljMZtm4+d8tY9XHuo3F78ryjf2Abc7KzDUH2BqXvn71YM6c1VbBEWP/KiW9q/cRlJsAt693e0OFBTRj/a6P76v5GusLbUylaq+PTB64+/ukvc6BGlctB6QlG5iQECB2p6t9hlPj/XI6cOu77bbZgytfy8zst9975jGZ2u+r/tYt+1jRbdi4Z0KAYChRAegkrvv3fsbnGNqKeN2yB+PATYDrAWqdBGUaxMWqlWZWa3dgr/MgItiBC7hD4OwfA0WcZmWZIrG6q1CEyy7Ywb9KA0wCYFljUzgfg1bP6ESxHw/rodp6cRDIgSDvz+z7ydfCsCd1WN91UdRjhZwydAuo1uqBNWiArv3casi93UoTZ/I4Yag7ZKbL3mh0eH4I2tnEnrrMUjLoRa+7myzwKArZjJZvSu1SArDd0ic8eGd7OwBWBuGqs+Ltg/y88bEbP0MwgGX8/95q6ey5XOfDx18EkiOCcC23ejFjsMnOzg56nKxXtrU7dBXtAbRwgJ1Ca3WoO0fb0wGe0Tf7Z6wmKWALp8Hu1sgAtxz8TPYx4lyWBcibNMC+n9WWMbKAyrOJnYEG6ETk080OxBkuod1ztXM+7CxDYqbHzg87p+Na+jitO3Ca+x51m+yZ7mggfOpZSmcdedZLo7TOD7PZYfYqZb1p2ASYFeluR0wF+5pQs/USjrZedm0OuK91jQJV2l6t3SZosJY+Cor9CRpDpCbpiQGzK3HtNr9M9Ou8ZMuzjvkQLNDgfok721pBCKLU0M8foAcDDl7MqZ8VrT2UXfs9sFVpZ6+3WTq9vXCa64T5cUe6GvU7wwIPRVqNAj8DNdN+lQPvMV1t3UxoP4vWFSQdAzJ6ciefgHIkbXwCbW95m/Hw42c8r2+bDYkrASXAQLcaW/Y6FLBu+lihdwX1El8Nio+NLVCxLPUL1+Z+J8aSRGsrtHzuc1OTIHyx4v/087/Cb6/3+O3LA55kwRoOtKmTteh8pDBUa7kU1Gyn8CyYK+pzRHrp9qnMAftRkO85VjrRxyiLjduVJ3XYFdNTRpxDowvnA2MDr7d1n7bZiUi/7fyyoG4RYsF/3CxDP5mZKoBa3V5dKtR0RThmPBc1AvvbCo3A/Ehl41i1ibSt7+zss+DYW4nFTVriz7Uf0pUCYPlgCt46xhM9HvKkYrpgaDuqPciNts7djtk+Wb7bUC5DEur3XH9wkBuOC8UhLivHzGuapgQNNNy+6ZogzKg2m0vLfmFKnD9TphVv8+PtQwa1TPvATu3xGtOR+udZgQHxVxGIBbu31DQapv1Eh2E/cXM6oinFJdVNLXAVaFDEVVFRgbupZbg8aKyTZa0KU//bHRGVclRzoBV6KEQ/Tjwl5ify+l3uP2SloqBlyHWZhsCnIjxvCJFjSQXqBL0/3TrPSkXRJmQ0XC3rrGr1H2LG1WqIEzeSUxNKBKQIJjUERrWhNE5tmC61tRthgbr1mKyWGcxqhy6zCOllcGDMMS2LyYcf+LzBWw9MVrtqwIgfLhQAMKTY+CvuRDThBlsWLpC1PcSGZnf6NB2tKSWIvkKKYuwsEG9h5VexGt4pIeypjbWEAC27Bcf8/83ceJ9Md6bVsnv/GM3OlYWt32Fz4MZ7SpE1jIcFepystx8RtHwkqOFCCFKl1c2OQiKivecxFVWriVBxvOqw1p3mTmU9UmqCWDumBFRVVENf9Qr0eiZz0kcxHlvjXuupmawNvjvdCMf0tRP6c4/twlRpj+ZE1sNujqM7dk5vSgokJaV2Y82598cda0PaVPiQF29ZoK/+b/NjAEN12+hUtMi5bs7/+DhOYfRMp1MhPeArCl2CtajwoIZ7qh0eDSTo98l74poL22StmW6ZAnJZgZcrcJgBY880UaAQe1BpTJDw5s6yxq670AM3F+bzvrsIoA3zNm9uw8MASNja0iAEKn08Rlqv93d2aqMIdDHq/GT7PlKVshoKnO869Y0OndgcUBG1tc0xsAIAxRMrUI6RvcGnLmhDBVelAzTTcdEQWu9DFdOzs73UWs6U2sE1G/OWwVWlCE0DKfvrdKLK/k2gZHvHxZ1unWE6fNyTdPyaYyNWdxoADQZwGTOHjIvhcxjf2P5Hc/aditpKSKo7jdIc+ba/b2iYgmrnf1zZd1mTATQ+HqBT7artnpl3+poHFmWSJkjjSveeMWQbHusq4ODYcBEor3QAM383XWoDCMohMTudKzyb7++Ta+G9HVILCAmYsZ7WW2roFFDulzZ+UoqpojOjn848J9XmtU7OMFKjApsdtMwzUkA9RORT6AGV9NKQ/QSUk3uTXHcUAEILjLwOs7XFsmyW0xev72NzTsuRTjyigUvJ1vmVmdByUOzKDFpc+R35FBCMyea6Ad52zNv11dMMHGZma22fxZVrss6x20JbM3XimZ/OpjR9TyE5wFqsWG1hnSzjdVBU61Wqs2IKFaqCukVgCwirBQKWLRIbLyifI71oT0g4CGPiqa20zNTMw0YPPi8cN++NTZEdAnLV2pQxWDGRoLkH7D4/LtiYT7Z+BF2Iyd6/vukZb1FqvmicEDZFeimoofu17/9TxRQIwMSNCtvpIvj0/p52653g2395QJkF82dYiz++dz/yHijgxIzj8VueA9e3AfUIpLNi+cg6YZ+n9S39i7C5kJsgnaP5euZ7vUt4indN7btMgvX9hLCndpbt94L9DX2z+CI8n9/seHh7wfPjEVWnvkZ2fmcTATORosm+j7beQIUjDMCF1b9ynWsR/D/+/k8brrfvCYgK1Qq5RgImYplFAdLXExDMXmbB8i37KIddTXBKW+BXDhZPREV6ii1AdNA55D7uNQqu7wMZcZb4yne2ngHIFhqYXidA3m7486++xt9/fov1VzPSi3QQ3jK5ABCufF96Dq2+FsrM9/a+AiqIF4KeUmD9py2rv1KZ2kt0trcwZWjOlddBxwswXdl2ajpXsH0oqefpmbanHIFytNLNgwFEC5kpXrcbdmZ5x6RLXAFsHJPnPzqgbAD+B/yj1x8c5MrhwCzU5UKlztPSAkq2NzDBlEaeH/6443SYUE4zW2GY8I48v7AFkKtIBkcxh9qY8XOclpiGwLVWZnTN0SpHtmBo9Cjv94iOTpSjISh3vQF0PVn/tCkgXgXTi/PHHSkPrcap1QxER5l7jUM5KvK7grZCg0KOpGHtd0SmpjMo1rBrF0Z52UjxS3ZoFwU2Zr3C+WJjONOJnyIdIadXeTYrvwrYKiDBa1QNSdvMESusFciHrqzs6nSOHEmNjTZTo9FosilTvlCAAbBFalkUHri28RfWHcdLbeI2dQpQWCPvSSAHqvNJVcDo3OVAmm1c7X0BPOwECNUkFwKgKi1YJvXaKFsFCBspOPtdsOfW5vwBQLwmTCkSOhwvrzkEegsQD6zWjX2J90SBr/aeCOw7M2Zj9tHXL2L/jFcBbFMVHqmirU9uuRWjErkVZBKhUzwl6CEh300oi7WBmCzIPdLIlKMaSGEovzUp95rxkC1hloG6BQTUJurCeROjPVu2aKZ8PKbaHF3WRHXaE2vJbO8FC/69cHesY/YMjAW5KgHSaBRDoDtkeHVKpPZahgQAW4WYGFEopuoYewmB/5FUocqss9eghQ2NrXBzmYPvtUeeGWLNUe3sCps7NYr06CyjBDrErwMUq1mrc2wOHlwcD6DTm6RR5TyrXBZp7UmkSguMeZgS7S+V+6VeE+I0fS/I1csKrCuknOBKtyj2GmvZ0gLdGFGmAz//svc6U8AQ8Niex1PStGGVpSUGekqMaDWHvuYhLFtxgaIho+t9YMeWYXUiiFOjoBozZ3uwtX5ntVbWPsRBOY297ihuinDpQRIUjfbKINfVuM22Lwo19D4cM7QIaoioRQgkmA0S1bZGWoDrLBsfc898Oo3cSni4HyrBqtNibdK8vMJeM9DBR6q3DhkftvJqW477MhCAQpAW9Hv5SavdAuDZWA8kObeG3Yyte/wylo2rrrY/oQe/Hsil5x2yZZT7BfkQb8ow/WyqKQKIRpnns9UQWvaxzFZXfe2OJZTnQk2CsN0CAxxT9L1pwyGqSC/e59sAIyeVRAInosD0meKH5c1sAYudb6qocbKx4hpyocpQFOlpg+TKVlaws/ZabgJyr08V93P8eWrl+W5U7XwY7IUYq+BAZzjfV87PVCE5IF5iEyoq5ihjdQeb4xBXfpi3DKwLsD/Q/9G5AlERl4LlsGHfEvZrBNViFXvq/UwBUlrDJFSo3hSxKMKVyY6wGQ33NN1oB8hWEc8b97UL5xlByYF4ZCBe2UVjezvx/FZgeWQboPU9Wv2wzhVIijAVmpioqFWALSC+BKSLOdEVDexxMDCuiumlIh8CNu8nnUyfJQ4MiaRAFpboAdAQmUW/AOHK/dJ692ZSYkcRKi/vms5KpWHLBHtmkVld23sFwG5iQCboM70oUPg5+zGydU4FyhDkvvt3H6FffcB+l1qbpeklYX2XkE+K7Z1i/ZFi/k5w/EYN6KavR6E6E6B6UByq4Pj1BhXB5cOC/U7w8LHi7u9XAouHgHIQbG/pWxy+Zf1qfKwt2Hd1+u1dhMqE9MxIvU7A9V3sYGClGFZ+w3InKdzvd2+u+ON3n/A3Knje3W8ChVrvuJ7ijmbH0gttWbwaQPCBwSYDYfZpxV8848P9Bd9884Cnv3sDXSriHaWFJWqrXfYaU89cH76R5uurAPd/X3H/91tLchEoCy2Y2+8YME5P0pMIDoAOyuqaSA3OD92mepYYVRCtZ69G0pffvLng//jFX+G/0z/DLy/vWl9a/1MntXVN0H75SPDBmZiXHwvKH2UgBywfU2/ZswBYbR8XIHxXLcAM2N4oDt8JDt+qAQWMiU7PgvlZMZ8rpueM7WHG9qZCF0W8RogJVpUj772cKnRSHH/0grvDhk+PJ2znCbIFltJktL65ceNZo0lw/pmgrK/8899x/eFBbkqQODVk3R0SUvRqz6zFIYPrB7ErKG8ZIYXeHqbUnjVLqQWuMirXWmapZSfT7QOrieUgkL5KGg1pcsHrSiLVhOsSWt0BKWikBpQjI1YpApjD31L0qxkuq2XifXVnE/CD3eoWDuZkVFhgbs+hAFzl7ia46A6Wxgh4vzenunpmw8e0VAbCMTRUmDfhTgnHv7VXcPEPR921G2JMhsIDjc7Z5rsww9UpOWjZv7ijORgeDHrpadwqWi9gGDXBnCe1uagLHVSoOZy7dlEHn9cWNAk0JDQBCnP06hAoOXWSVFuOPQv6bf0NAiACfxYa45u60Pbl2jMrOgyMj7EIWmurMXMQY3fOVXtAOga97uR/Lzv5KjB2R9/vJQhuWrC0zFhnS1CFMTShKc9+qP2pEZAIlOiUSx8QYBS6cIegxoBQK2D9+9qa9/e0ewVpMQB0UsYpq42Tdmd0ROtuAlx/HhHINEFTIug1skEAY41If+YxI2yggDbH234u/U+r5V4F5WniOt2lIehOT24Bpq+T0v/uog62/v0ZAjdKF2SxQNzWdaOTpn5gAzD01exeo8WxJMNrycsU2j4c6yYb3dQYFlJZP9nWuLf1qNV69o4TAEiKUCxUtnamjDlr3vYHpbDfcRwoiz5/Pm/ew3pcEuM6TQ4xO3gUWo32GODJGP0baCdRab8QKDRltqya8FZe3Lmg7fXMK9cCEArtfYABM1EggzMLs/VuG0ZBnVHURsfFO65/9SCiBzy0swJUJZk8Ma2sA1ijwVpg5R5jtv0MmCZHt88MlDvIUhfuhWpZFaLjigQDmERQV0G5JMBsuRRrKWE4aJ0M4MkdxGlZ7iED3ajvQ+a7U4CHsbCMLGxu/HWizJaKdRNwVfwb4b7BMfaaUD4fWg1kX++CCiDfpe4wCgyMCTegpR5t3NsXWfAynldVG5gXRkDRmWl7RboUrh2jCcWVtckOLLUATdG6TADGECidodT3fw9w/fz3n9cpUondxbxCpxM3u+GMlABqCUhFvuP6ildSIzV4bZ8QNNTQakbrMD9eqoHEDK7IrZ2AmJ3cef47ldEFaMKurdaZPXy7P8g2SM6+cgCEa0RUWQJma4vJCGv/NUXS5B203slA0xAIvhslt6ZA4aAiQKoIUaA1IFwD4kUaG8mpsN4HtCcpOA5hu7X93cczWxa1ZZTVwaKCporMFnqd1t/sNegvOYDkNZZNEBH8zgIrn/MzO1jWdwCh/GyOO+ngI7U/vz0gv5uw3ZNhEncmL9ILbeD6TslUNHBbA7C+9bVMGqlTr+cndhFBEMxPVPVOV671Ogm2NwRfuEd8T/JIoIqwtADfg724m70JaCDWdh+aDkz6ZC3DdqOximIOGduWEB7ZJk4XBn8uLlWbUJYgrWRmrG/QdHHEBI28jVreI17WGWkuKG8VaSpYloxaBXtIKCVAY7I5Np0GNd/W3UBlNprtkbxkxALgwPWWLrynuPW583kvk0CWgHAiYwhGWnGwMV4F8Zpu/KtgpQefvrnH//30F/jVd2+RrPVSPgAt0V2FgCb6dwIES/KBYJYvOrcn8crMf52A809iiw8AY7Sa9sR+B9SBkQDzr7e7gDJN2B7MZlsmvZVtCvrcBcXluyMuerz1O7MxZ69otH8AkJ1ggWyv7NHvuP7gIBfLBD2asNGcSF/bC+tmnS7s9ZPJVrwHsteV2VozZFSttRqseQJkZkuFGPh55wtcZAohMONlFFE9zHQeNjup54n3smVg3SB2eBABJ2Vm//Ie27tEKf4TEbb9ngFufqjAA+uWwjlaoTsNYXpRHD6bUzEJMPWF45mysFM4qk6C9QOzCJqUUuZDwIBAWq5LhRNdpNMSjWJcDwkaKerVxCf88Jtnii89XYDLFTgeUL322AMh7xV5nJAfZi5YM4Qe+DjKJzNRuBvHGTBvkMZGsrRnDxsV2Yia3fb68zpYyYrpsbR6OQgo5uGOiCn9bm8TahSkl4rlnBsVWYagx51ZImRiY9UPFKALxDTxDbX2FQGth17Y2aCdKDidpnS1z8rKdTfKI1q9C+vAAzAZbdxPPwdl3IkP0lsIebbF2wM1calhgGOAwFqhWK1mC3jHjKUFJVoqUAsBpjGDGwP0dEDrlWxZgnwKrTbE62hc5bseukPYFLR3gT6R7RAyWQWoXC8OfEjRli1p2VBzdKAAikANbdVDgU6Cek2sFVE0WtdN4O7XTa1iaKUMDdRpQWQgNdkcaW/DJJnG0wEynXqGwLMH1TL8blinZ8H8aLQyU5uNV7SecR5AuqBaXNWoeAO7BEDrj+mUWw8CPaPr9bNGy2p04yHwdiQ4XuhIk9LjdabpZn/2wJHOJQrXdDH2RNyNkquVz2S2RTYT7iuvAtG7IzwjXhcTUfMWQbZuZc+sPZwS6sPhdi3bJbkAZwr8sW+tZWyTUazNTmEARwEw+A6WZXOGju+BYjTnJkCmrYShzpZNmJnBLbNgfeuUSzIMfA6rgTnBnCGnhovVryWhoxZKZUs22x9OM6yz2cgAsNcvAKcA2z4Sa60Sr7Uh0BotW1kVKhEyxb6WK5gpB3heuajiWFbj4JKVbHhdt2sWMPPPAMIzkfOTkomDQEKPhoY+NgfZW4EoS3Xipi1Lm67G3LCgti8UtICuU9SlrXkPeGtk4M6srP3ePI9ivYv9/AFoY26C+EEV2wPHYpn6sQd7mQSY2Q8UYKYrXkkd1ilBpTNs1vcLZJvYvs5B6QFQTE8bwsveA3QAcQSOA9gu6XmFzgn5fmbJz+PWWv0wmxrZ0ihQAE4FiNfCloNeqxwF5TS3YBgKZjZfLHVkAG45JWQrN/GgsixoAR9p3AocKiRVpIktTjYA+x6w/DbScU3UIGl1nV7PbuB/s0FJobMiHDLmQ+5BbpOyZWuedLapmmBgSbWSLgqOre8nrG8ippeKowX1+0NEWQLSxejqGqAmQIkKBPT2SQFAMvZCOaZ23zUKppeK5bsd4T4hfcF5Si/UOvE9Ww8VZWId4vwYsHzCECCq0fO1aYmwZpC2c36uN+u+RjAoVIIFTezPbIMUBn7z54w6B1zfpxt1XLIaCOikS21ZPGc35YPfl7/DzqqE7kud7by2szbtPIvSuSB9WiH72r7v+RdHbD9L2O8dlKKPefyGX5APAeXEvb48VVzfBjz/guvg3X8Ejt8WLJ/F7EhB/MR0/X0KKIeIaGJz+RTx/LPQ9nVc+5ro7Bdge0tfa/mkWL5jGcn+xvxhW8cvP1PkNwXLbyMe/hrWto3jlmLB/bRiO894+CXbGK1fitki/p1PzC6GXTA9FbZk+knC9rZi+RgwPXMey5H3pJ9nnLeIH/34ET9/+AxrWIo1J3y8HnHdE54eJ+iV67N4bauVCxDkEeQTA31Ir832OU8XBb6TBoB4iQECn4/9fAVlSazDTX0dSCFT4viNoizAy1dkWh6+E6SzYnqc8eu/+zminTeagO1DRbmrSI8R06OYnofe+PQvXynwiwtKDsBLgmSykzIEy2dgeax4+qOIz/+bTJDjWwJE7/9Twenvr3j6kyM+/3lobrJkMV0AYD0F7CfeC1vOAWW2nsVuX2bF/HZF3iLu/qcjDt8onv5UcP3ZDtkF0zPZFofvqrV4CigL19b8XFG2in/K9YcHue5smOMZcu1iDa+yMa32TqU7PP66+uo94/UDDtTN5wI39VwAePD/wGe1wM+pcQMixhcMfwBDFAYxDmmgx++4J7TMlgbtiEUcFtiA1Gnt39+EPX4HQKGCnrVzdHD8v3a6LgCim0DP3jqlTW8/s2VlX/3MNxgqiPq3ILff6222yxyhAaVyZDQMYgikY9nvxcfKhRteDa6h+HW2YMXaYTRZdAidyyGb6NlaER0Oix+eq/a86EFxpyuOA1X7uMkQdI5r3INNW2O3fRWFztStfsr3nvUH/z1efl9BALzKBg/3oi2r/DsW06uPV3PS+6Dgh/+21zqa6c5n2xM+/+ofqv3fOtB0FG1/tixssD07ONIdAR9tiPRxMBaHRlJjR8EnsawdwOBYh4DWheE4172kIJjzaAmy3gPS1UitJtHrK91B6fPDeWjqxp51G6nncKcaXVRlSCo58j8KJ42ocE3d4ccwZTfzM9ix5gAL90QLilvWfNgkrfYVrz50AF9GUGLYI9+ztzfPjD53fo3gze+4Wu39D71usPHfs8ly+8ftMFxw4/d/rQUppJsi6c083LSesKyvC9R45lxKZwI4hZZrAvz+IdM4OtFNDTkKFBGuUdDGz5+tnTHW0gt9jF6PhdfMsqbW6syHTFarxXXBQHeGd237wlkv41q/mW8BblqhAC3g9YCojWEc9nWyrB3oKLZM8Pi8/vkYvv+Hzkmf55bp1m6PXr9U0exoa6Vj2hbMSJgD+vvWqAMTvg6bj9Brq9U6PIwZuu99BvrYNJ9E8P1M86uzz+1DHQDGNjZVUFUak2Ycs1FszynlQT2jOt4bx0NVbKtzM1Urd3AWgwyf232AwS6OczWe78Pe9dZRrMnl35IVEtkzvUZBK+lovg/amm/fbaKBzgITG7uyRjhjbmTeOEgSBpbZaDODnSNN18De00vmBl+k+XduK6QFeTL6ea/spPtk/tmjbfLPVcvaB08fqvlg7qf5+1/Z5FGLBMBQmtNtye/yZ531E/xzBNAj1efDxiRFnSPKXWwZWhX0tjPax7GNk5u3FZjPFZCAOra8AjPK4cq66bArqpj9CIq9RDzvC7DLzffwjX6mwtrsdIbPCJpJAdD0OBSy046WKgi2CbINWhBnQA2aJVVQhUkrAJD1lgUzXjV18NqZjI1JOBy9Kg6avN6DANTPEgbCGrWB8M4sdRDeReZubIGCWVFYRvmqBCEUCLGS7VDEWBnSel43QNPimJrAXuoKlpZaPT9LBvnafEfFaBeJqqkDv2pHb1tzhu/WHDA/Up375atExs6gC+PU/Rv9lNfj9HuuPzjI1Wmi87MWhMsPOD/e6w9Ay2TMHcGHqrVl2ftrACL4IkYV850xINoAs23eZui7T/z96cifW6ah0U6HHohUqST1Yvm4I95F5EOyzctDuqaAEiLCNbDxfOWkZVNnC3lo81M9I4V2mIl2pbEWN1iw22xptcXlRsDQHze2rMUThC3DWwbw8xMzAMN46ZQgpyP0uLD2UKS9pg5qlx7ANQQeZoTtwHxNi6ER6fWJ0zNu6DjTs2J5LLcHmQk5RUPYu3NHZy8oadaslTYD3mi0zNLyjWjUj/2L1A3FKKijnd6WD9I2ROt9GW6NTi/4V2uZYPOjrCWeP60Izxuw7TcZLr1egXRkxjYys8h1z5ZVmKx9yp6hqyHwGxkEpNwnZqgArsnGchgcOnOy+s2++n0urE0VgRyW7nwZhdPbaY1gkqsUx6vVFk4BtQiyUZPqDogrvQodzfjidS3DvbxyFmsSwAUVvB+uJUXCbjUps7KmZQ8IT2RDpGehkt5uQMTEViHOXNAcEdadwi6vKcgNqAn9MBe25mCQa4qZHrwONNvqrUpsTQHAfFZUQ5yDteDQYAfCBW19x2Ec4qqYnq1dyG6Z8mhzV8EsctXeemdQw3UHXouSGjtFUn1kcIy1OxfOTljfD2ba94TbCe2OJg8iOjVe3yU2sWKBBlkmkQG62ckbFfE9A9uFe/V4QBDhOh/p4fZ/lYlZ2d8R9Go0lXwR6OlA+1try1i6SCEVaWvPBo6Apwus2R7QMJwfThttDiKZGBDWH6FSIJD2nLaX1LfQwAvXIXAnwgM7gOO8P0RoSKzrPcFU6GmrpQDxHFGXiqp2OK8BYaOIy/xZMT/XRmENL7sFpMP+9ufd7UuXiWUXxwmuRExWAs8kxO5Ai7MEnPoPsGYXMNaN1flZts9tX7rY2QMPwplZias2SmPYFPPTfgM4+Xe7fQVgrITQ127RJtRUzZ4zW92da896ORgHAfQEUF0ZSGttjrHPgzvLPs/pCmhQU4i3DElRhEqmAhRkQVyLtdfLkL3rUiy/PiOeTgTGUmCrj6JIV85DPk3Q++n7AbIC09MG2TJt0WIsNZvW/HYBBEiPK8LTFTjN2B+4ztNL6bTyObaEgK/rsfRJY2Lrr6JNs8KFovZTwH7P1+cD/ZJyQNM9kDPBkRIoDjWZ0Axphu6vwOafDzhdmHnd7wKu78UcWQAIqDJhvXq6po+DO7dloV8wf9ZWZkSHm8FDulSki9lKs73Tc0ESC7aEjnExnY71LdlBh08F02NEPkWsb8kgctHIMqPVY+e7xLZJxeomz0BdO5Bek6A+zzYHMF+Gmdu0KpZPHPTtDfU+/AqW+VIIEPlM00tFurjNRsv6ukhVTcB2J9Aw8d8Pxsgx5eewc+xJKTWfzPZO3BSnc0WdBLsJi/W6SquRFLolUshUIMVaG7Bf5wiV7ifnI/f26Wv6O/nEs/r5j0yo7E0ForLW90Tw4vAt5386M5C5PkSsbwXyIeD5Z++Qroq3/8sT4nfPePrf/hif/5S1tF7jHJyq7WUgqlbuB0xPzFw//O2Gw6+eUN4csL2dmfV+R32Jt39VkF4Krh8Srh+oNLzfM4v59O0d/j/nA+JjGvQ0FAjAfk/tnHJg/er+IHj6o8S65ycgXoKxJZW1w+8qoMJMJyI+ne7wy6DYcsSeI0QUKVbsOWL6HHD4uq+pfCfId1yLy7eC5ROzlOtbZh+XR6NJv2XJDCxgywfq/UiFCX3ZnjDQmtoNDOA1WVKpMGu8PbBt3frjDKSK9DJDCjPh6/tqWWGupbAK0udIWnHluj9+U5FWxeHbHbJXbG9OeHw4QnZBeiEr4+7vlAyYjbYmnRXTtwkIaOJn65uA+NUJosDD3yquHwSP/2bHcr8iTAUpVHz61Rvc/XUCjoLtLe8XO+MZTRWYGBPsHw+YPke8/f9tOPzVN7i+/xnW97HVD9cEPP4pmT/xQqp3PtleXW/jwd91/a+QyaUzIU4ddofJaw4jmpPHHW0OuAg0DXTOH8oCvKYw+vvbdwd+/3WDrhuDjxOpdl7vqzHwXlwoBd1OS6FkeUi2qCL64spA3UMTngF4iFBwQFpvKY/smlCJBXikQ0pP5ZsTepuxsXpfoGdexiFotbJ2GJqDz76IgwOkakF86kqtAVATIHBKMpF8Czhb6xt059syoi3TbIgnKXcco3TxWkT+LlqvYNKXg6HCHmT24NbHQErtxfrRA4shWxVe/46HVD7y96QU3wrqNPpDogBSMCqiih1UQM/oKlr/vrYeqju/pEe1/stjy4lXwSfrIqXVNMpi7IQdaPBcNnq898dVE1gaP9O/Ir7aI+CcvP6Zlsp1Hjo1t3/ckGVDf58UOtmu/Oq0KlKlBNUdWctuhoKerbcxu7lnc0w98+7oWsviK/dGg3MUCFtXs2zgCWy+k6AiQHKwtgxy+ww+5pFOE1KAjnRly+S2thC2D1GVVa0VXTBk2INOc4/bkCmd0J2RQmPPmi8+MynWRt/ci9VImm0ZM7gVRiX179RWK9wQXOlrUM2Z8rXp46bJaJhAU18cKeE3/Zb9dx4UADf7u8ZO228Kz69tbKnQmnuA6cwXt9sAvBYcJi50035jvAxgdEBLU7BauNoAC1RA8AN7zdsrtT8DY2hUKB8ZF4P9laIIgTarWg2WIaYtIx9alhKdYZDRylrGQK2YiGDLrHg5hIlXaSHN2Uta4kYH2utYKbpjCvetDZra/tSb/sAAGv1aDDyFMIDta1gas0dU6YRX3IB6rVbWARYHArIxAWoPcn2dx40Bbtwq4gvXgSYXkRrXAHo22caVa3sAOYbaybYWQw8Obv4fB5Xk0uuhxzU81sSHQrV6z1x0W9Vr5VsZQdEm5tXG5rpC5kMXe3L7e7U9feiKvjfZa9OQELc9I9gs1D7QIIheoiBddNHXAbUxuGZa5tuf1ebPSxmkGPA+2Na+LtFsb03U0/D6RR9/790c3Pa2tc6HcpsS14p0Lk3xF7B9EQDZbaKEPotT9AGfSxg40VXl/dk1Wn3zXoFI6jo/m2B3gbVzc2DORBHLxF6hwQKSYtk+Hwdfdx3Qkw50bdJ8F8AA1dz/7eyFuHN/xtXbWcU2hu3ZfGraZ2kDNr2NDANMX8tUks1qdePTsNeaDYI9L/8vxi5Jq1q/bitFcBq9DL5RGGyPAXMdNKLdcKVwv7d4pZAWlAKpdWKA5kCBM0OqLeV47Z/PZ2Wg5t9fTGBM1h15EazvFelFMH/yMxONFeAtgPy5vQxiet4hn58Rc8FSFPluakH28dcviP/wCfjLn+Dyo5nB8gQGs2tA2QOmvY9Ho9dPoFZD0vb/fCf9PN/695PGrgTmrV2OrhGXbcK+R+Qt8rOWHaUwq5yufW17Wx9RBqrzuWJ9CKhHMZvPRUOlf7Tabo6l2jlowlXots7PJfro/VzyPV9mAEtBSJXxiNflHxjkwtoT4ZoaoCLmwy+fK+K1ID2yR3V6OSKYmnK0HsPzWTE9lWaPQmGv6bGNYp2ooC6Vz73fB0ynDV+8OePL4xn304r/7tMJUkz8M1XITHVzLQAmitiVK5OI8UUwPa7QxyeWL2yh+Yjss0vhKiAwXoqATKwa/Kdcf7jw1HWFRNYA6jJDl0S68uMZyJl1V9PwNapshwOwvsppW4eZgemebw6jlsUppSl8ujCQ3h9RDzOFCa6HnvWqtdfutYCgBwz1MLPp+pKghtxNLxXRJcIPtG516K4hypo9VGB66hlcfu7QUgGcnHxkXViduMCdpsYif2kLOGx0xOYnKg9P54p0yfAi+nHcUBSC2oOjAFMYZT00BQD6oe11q/kQUCdzvF6q0UwCPPPs6n1ht2xHJc9+e+BYTGfF8gmdrmmHidNrXKxizEADQDpnotCj45MChVMA650YWg3WfK4ta99oH9IP6xYzDYI6NTIIcLRTzf912k+xHrxxpdPDrKM5DZVrib8zw3dkxlWuU68HBCDLAkQvOInNUZXjoT2fMwdkWW43iTEdmhMbY6/J9T6lN+wHX8fu1djPPJBR1p63gNle7/+X69bFaoIFubbnwpFjPZnwRNiI+vm4OiLrBtJFZ9r8hVvnvysqi/V0QzOIsgZgDYibYLI2FunF6TKuOGu9E7OSsWCgjRrLoz1zFFL/pmCtwNAyS/kUW71f63Nq+6dYVmF0VqUACP5c0pDLvDAzzX6Ow0EPNGRTrJ0SEsDGfVaekQcH2tepB+RDHTCZCaGNI9DBGQA9aJVb518KIOutw90OeW0+p4EY9Cp8Pj0r7OyLkLVl6G5Ey3xtTRQSxDyhlTz4fDSRKFhAUdD6/XpQPCVopBqueibWxqgFSkUR8qtg2j/b530QLdQTtQZGqrQM4AwAlkSsgNSAKShKhtW40R6KRluDRInnRzXgRYe17p/p82F7YlfgzGzKfiftd4AHEdHsjEB2OpbeFiSfIuImBEVualo9UJDWF74FPVVbYFBOCaNSvDv4cTMHHdJry/32FUBWlqVf6KimlWuqzNyn7uy3YNeDhwToDlPz9jkAZM2Qq4Gmi7U8cnqq9YnVIKgHa4NT1USApGe+r6Ta7Uf+7AY4CKBK+0NoWQ0HUznWCgcYytRZOo0qmGjTomWgpJBuHl+XwABsq5aCAfQVIfPfOhEW7cyAysywz1OzR9EYUtIEpFRI96tRUI8JGu+BIJg/066lT1fInlFPi/V/dzC0Ij1taPRuAOWYsD/EQb+gQs3GxDUgXhQhAsHq4ABpc9oj5n7RRnM/EMSU3gkh0ymvS+h9TWegLg7smwp3UshSyMx5TIib4PCtYHri/nEwLmntgXSlo48pWADKZ2DW1rUixLLolu3cAFTF9iBY3ySMopbJbCAdbp7t7SyyutWwK8K1q4qP+9ipmr1tYHfep0tF3MlMIv2WQUUDfiugBZABONcWuYJU0N2jFnvfrp2pZqKmwTRP3MdJZ+qabPeB7YF8vXswXvl7Pfvi7fsc43TbOqlDmdSH//mKlz874POfpB7ICpCehW71AdBkmfgzz8D9gR+/3QVoSLi+C9je0i9YvqXNvH51QvjiiO1NZ4jMT1bqYmyN+ZlnZj4Itnu3mQRxr18eMKcfI98l7PcRZRFc35ERcrqfET7PyKfIzPPcn1GyASKzYv0AE6iiOFewfq1FAUycm/Wdr3POj8+1BlAnpAp27w2eKIZackR9SYAKXsBs6Z2xzyhKa7o1C5l56/sEDRGHTxV3v8ltTuokrMWF028V82eqG2tkG57trQMZgHwjuP+cUQ4B67toWU/zqaSvqflXZCUcfyNYHgma0h6DiS2jUmfTCgqboByBxz9JkByxfJ4Qd8X+IK1e1oXYLh8E230yRgaszp7rXqUH3Ow3H7DfUaFaa8DzdcHzlRtOL4kq1gGYvpkG5hkQttQShx5DfPevHpD+/C+xPQiW7zoQTb2igHpVHL4RzJ8sQZWAPDINf8/1h9OVLysbek8JepiQ3x0QLhnp8zOzXCNibwi9eCDrGbPjAZgmHiL7EBS12gv7oya409q33FlQMiNczJop0VKdp9Z7kMgjAwA6qAFV2GTc+9lN52p04Yi4mtN+NwS5FUhnF1iiQW41c0JVv5FGSyoI38vs1ZDVLYMKn2dIz4rZeku5gl2nMJpTZ5khqHLsQoAuEykqodceOPVpu7eeqCcafPYoIwLDdgjWm6qgofcqaDS3/cQbThfg8LE0Y826i+4we32mKye66iUBDfdAQCTXgnDPtinQ0L70TBR9v4/te4C+uZi1td1iX1Gj9T0bmAta+vvq5IdbD3zr1J07z2Kwh6egLhFhTwxEhw+VeQYk4aYVkFPvVRlY5kxqstMpbT3q5dp+x5ZYob+vVkArLXMLgi1Sr5Z9iLFn37WyrYJl0yQltPSK0/m3ncN/mAFEyF4Qjfbr9DQq/Rm6eTWHc+LQBqdweq3SUD8IR6tTp5c7s8Fl4avVqoRNLGBm/7Sw9wA3Wk/LkEkpDrmawJE5fon1+rJnNKX0ZAFuktbSQ6O0npGe3Wg1tkZZ5/zXRqNqrIvgTrpl7tSGcggIfd3FrRJl9zUY+nS50JUHtXx4W/ZpANiGsRsdWhczGi8vXfBANmQGHjeAgwXBLpoEVctw+ZbrABbBC22O+1iTeKMiXrUp2utEx0gRIC4a6PbYg1DVrnrv9xUC9JBIy3YbZnZdWgBcSfVvG0xu//YAwOa+HtlmzsdaqgJG8W0Zv0IVXHekpAjStacSvE42nbm+5ye9aZczZqFETY/axqnV8t0UzHkgJ7fBorWbiDvXlbeZCdfU1HQbaFmJwLf6S08AFqpKl5RuwMpek8TaLMm0heUQWuDrvYrDrtCipIUOdHhvJSba19NYC1qTIAaBl/UgCgQBsmXSqk8z8onK9mEdWA17RT1NyOZwtTPfAtKQjVGiAr3zDBxsX/jagbXjsYxSGcA28/R8D/m54X3XXaSQveULmUVhWFPjGj0QqPRziDRiabWfPiZxt4w20Jk/Cu5zp40bRVvsNUEDy0JOCckzJ2tBeDoDuSAM9b/8nopw7llzd1rH0hsoQY9g+zhdLZtYGOy6aJVngXxNazCBHcuGlUWgGaw1VLOLa2WAOwcD+kwkZlbWNtp5i6liPu7YlL0401mwfKdYnir9jEOvPaXqPJ+vmKp22CqiiT3Wiet6P5JCmy7eU9X3pOD6gQHX9AhMX7OtIm24d5Uwk2WKsF6fPF2YFeXPbZ07Y+FqisAylHwYGzFeKqIINESqwA5rSlqUgWY7vT4TZhac/UPTYACMgY77wmCtVjDTZgGnr3PsLIPbHuirzJ++TysP2bJotneb9gLcZoHA1AC4Tv/fv4P+xTu8/NSAvG0I+iqQM8/MdKZwqEpo7Cz2aQ3I91TglSItcL18kVCm3s4o7C7SpVRHNlGw6bFg/ZCwvaGgo+sXXN9H7KcD+zHfMZjb7zie+RgxLTMFYQ04b89XBKgMcutRO7PA7cRGCKKaLdkfKlrf1eGY0gSEA8vsyhZYNpisl3IWyDWab0jQMr3w8/OR91QOSgpuAPa33It3v1Wc/vO30NOC7UeM8OIVGBGJ9KI4fpOR7yIuP4nY3ta2Z+bPAdNTRlwD0gsdjP2eQFOAkARUgOM/EKQ9fVMxPZN94cCr26n1iwI9VNQrQ7x8ANYPtPH7AzOl+Wg+oGsOCbC943xOzwzQq6mVjwxPtQB+fxBcvmQXGgGwbgnbZYJuEbIJBc02YP4oLbMP4do+fFKUyYR+Z8Hjn/Hv49dsSzQyFtIL7ezyneL0dW7nV/yvFeSiFCAXGvjCgxuBNViSiwWutrrcWU48qVtGtjmxABazBEZhpvy01yvRyXFKtFb2XfPvbJ/tdWRbZTuM0OvG6ACwBrF6fRHAA7pVRrMmb/lovzdEIa7WGHmjo05UuRs1jTT0eeHfLaPl688dmMrAQrJl1Kw2TJwacpp6bRNglKrYP6OCrQgaDY0Z3LKEFuSqHWq91YUF3kdpdLqGlrhIUrUi+6KQLFgeAxujr50C5tmC1k7CHK52qBk1R4PVSB7YN1B2Bocu0NFonRagww4bdbo3PFi3vy1L60h1KEAtfngz4hVH/mXI6lqwUK1Q3w1yC26LtiyxClqPxAbA2HVD60wR9bTYXJojqBw7DDS1Ni7zzJrdgWIpe+7UwhQJ3BiVsdMyh8DXM122DloWd/y9B+BOjxbBDeXZHEAeyLy3aj2RNQBqMYdTRZo4zRjcmhJ1PoSGau73PVNQJ3OMokJrAFbOrWfMGi3SqJxhH6K28bIATA8zx3KyzEkT9Og96PaTBdkHouXevFyqtH1VI+vOWwE8hvVsNVdxF+jVnVt3fm3te5ZPuT+8VKD1PS0KUZtDp5bbetchMPLAu1Gbb7wUNOq9HwhsiWN25NCDkvF1PKQsoLesbShoQU1w0Szb58ya027rnrmR2rh71CNc5werS7wAEhR1TkCygGcj40S9N7kzcGptvxPfQ2aXPeBne6+pf5e/34NbZ//4PtoL4sWU9z148mGrSpq1ZdZaVhN9HXgEx0xurz11oK61s3KgzqiWZRlq7pKpurpSc+3LqQVcu/8xQMHEOeJWDUyBAZgBQSqH28fJzkKNAToTgC0zwZyaeg9k713O+uvv1yWFzGNC/VysgFigwjIL7XvbtoQDIC4M1eYl0O5olJs2fdFqVxsAFoegz/eV0OH0NlukcgYTT5Ebx6mxH4Z94DTYOsFqyUGA2AGJ0gNFF2Xqg2BrpJovkHP3IwD2p512e6nVP1tplVajaAdQGdoCWmcoNZBFtXcJaPTlYMG1tLOSZQ2K+nBHO7pMjQrt4JgnAlopxVYxf8rDWWrnZKD9iVsP4sbMYWMoGUXTgzKNdNS9JtdBmf0UIKZITj0MaePXep078ywMImEGADZBnCgGRvDeQ9EOGHjWUgPVkWE26VJRFtZrl0lwfc+aTK959wxWnWjjQyZyIrWL79lsck1elMeeotU3T2d00NIp1UYlVSG479nl7O2ZimI+oweyPr5mT/17pRAsCLvbGDTadItrzB/hGYJWEjNeZRF4W6fxumHM+TE5zK/TrV0huyaBLhF1qMmtf/IVs6qPBmQbg9TBf7dXdRKcv4rNtkgl02V5LKhTQj5xfovpbxR7XTFbyH7jamwMe80cEBaOWXrRngkExzBbRtRBmGLn2+VHCcAD8iEgXf146kC8BiDYOqxJUU8VbO1jAWFmcFpmoNxXVAcrzI7sMHv9zcJMfAB7SgOoVaAWH2gE8h3X/7pKt/0TGTun/8JOJWwnyn26/+QNWmvOKOwxfG8Mtot1W7GOLjwvBOVYoXPF9ceC7/7lARpMhXri83BdKfQgwArM1oP5+l5w+YJ6EQ5wpRcDZ6aAYiVijSljPkM+cf2QXUN/ty5o59fISC0z20yFIpg/8jnrLFiPwPpesX8wm/o4M0+zc5+6QK3a9/l+EQUuPxG8/LQz+9QSVfVQUT95+Ue/B3+GfALOP0mNdfpPvf5XCHIzdF2BHCHLDKkLNAjK+zs6iU9XZrmAfogvBs14m5MpmTASM5OoFfKytrpa2Xa+73RggPByhWeCwyUwQDAVw9bi4rJSPGiZGSAGHYJtGiwNApl5uIS9IiTBVpn9PXyqCF9zUe5Hbqj5TKOSXtjWA+Dn1BjYimhhI/V8D6Om9KAQ6IstbKSHxBVYPlZTiVNbVIb6bxXzZ9LbytFapDjN1+nKFrR7ZtbRMkf6y4J2ELrDxiymYHq22ogXQ0cHRzisPJSnx52O9hKRD1x80Zz9dCXFdL9PKKfQUcyijTLBXngBcS2IzxwER7wZFCjqkhpaqrk7p1IBndFqcT2Q9YDdDT0CD0VRYDKKrTujrZar8oAJ0aX7rajeMnOtzscQZwDQ6wrN177Oc24ZL50n7O+p9R82zlG09d2AmcBgUycBDlzvcjVBKxOsEhGjhLKGXLcdMk/QZK/3jJkHwAAzt07DF+mq4qVA9x0IETIb3dT/tHXDYC1UYLae0U7z8v3Jsdd+SMOcU0PKt/vQENxyJH0n3ykPm6EuRFKF1gl4obORLqSJTS+kWMZrRbwMwl4+9Z4hBNie5jTdONCa6GyWA6lddWKz+jqz2Xo5KuJVMD1Zm6hn1iA6HVMsBvW2JYABIBDe1+rrRc35Nyd2yHjJXjpw48CZZebg7aKWBAns1ci6G3O4AQTUVsvqiomiQDUajtd2OVhTZxh6LTfz4peDEqy5d+fTvYmeofRgLqwZctkhlxV121HzkFG1dUbaacL+bmHbClWoKvKbBWWJmB43pC2j9d4GnXkUs8vG4HAmjt4dblvhANA5WTaa70+PV8j1Ck3RWAjDmrzukJcVrUeyBwYinQp9N9NRHbLk8xOfJ64B+crDcXmsN+MYt4q42n7wGnN3Uu4o9uHzUCdgvyeI49TkasInsQrC2jNt8VobkNNAPaAJSJUokGItr4xN4EyF7WHqDAXbo/koTWSoTLR12ybWg9GceGcXBW12zbNLZQ5NlXNkIklVTE8ZYS0ox4RyJLWUgISVvwSBzgkSCexMHy+834P15Z0jamKQ0rKiEyDoNWp1MtZFQsuUtZIct8MOTHJL0mk255K9G+lM83k9C24tSsw5Z4bLgVfqLOh1BQZ7Hl4uCNamSk8HeF11XbzcB1ZLGxAKAYf9ns9HKnpFOu8UKQwwHwMoS2wiSA78ymUDpoT1p/cox0gbbNRdLyNxEUbZuZbj84r09QadJ+T3x95eCBzf6cyMvAMwUgAxTRExZtb8zDXgdaHTC8887ztcXeRpggl49SCiRiA+7JiXHds6oe6BNYoAgwCzqXFThFWRGAUjrRXphe2R6v3EwHkOg6gk52/+xPWWjwfIiXW4+5sObgC2DgLX+/ULq69P4Qag8TUuRXH4RIbK+iYgH+hfzU+kY0/nepNN8vXG2nP6l/VdQj4ETM8V03lHAzQDUKbQbEKj4ucKLYJJaA/2U2gssfG8oY1hIJzv2OImFNoKFWC/t8U+XG7P01UbYNDE44zZEK8VYasoc0KZBGER5LsJee5gztf/zT0mAe7+XrF+EFx+7Ge7lcl94rq4fCl4+hMLlJ4ZfNz/8or5l98C9SuUhWAnacd2WAvnJt9VlMdo1Gz72clBKbIlDh9rp/qL4PIhULzp6P4DUBf+/ulPAl6+mhAto62JQWVNLv6nrYY0nwSr+R1lIath/o5totYPQP6SlORyttKme0W5q5g+Bbz5z1wn5z8pwMI+0DnHdk7rXDG9WyFBcTkuTVQw7ILDbwVf/T/PiJcd16/usN+R6v/pL49IV8XysaBOgpevFPuHiuPfR6QXy6i+D60EKV4E+UPB/RcvKF8EPP1ZRCkB9WmC7IJ4CY02XGeiYPMTfZdv/k3A9tWO+Clh+TYgXoC7XxfzWwL2O9p7V193xsz2nqBAOgeks6DOiv2e/sl0llYiIcVEnv5og5wT7n4ZMD8rPv9ZwPqjivJhx09+8hkfn04I/+G+9VQedSvKoth+VKBBEc+BQNWfnPG//8Uv8R++/grb//QeqEB5lxFPGeXb4+3ermQZaADWD4L9QbF8FNz/XffJ/rHrDw9y7RIRaIqt1UswRFRchZYvMgfFv50Z3VEqX8XEeSZr1u5Kmy27Ze+rFkREgSAy0wb0TIBTPZXB1OvWLb3dQq+z8YbgrVbQ0IJgTmhwiqW1hFATUnBqbUP1A4waxCBXstFLogs7qUGUaIGlI4btYDTKGbNv7PEmnrn1jAgEopVgdugLrCuswmq50KioboCp+swsnlTpyD+Ivqr2YEfykHEzao8H2Y1yOrTICKH21gX+WgcWBG3+dQiqZAjaW83JEIDy9R2N6lL4FhiAyGDwnzna+ioocNESF+Bq9WSKRm8TBeHDMcNVC1iQQyebNc0KqfaG5KkeGpA2ViJ9fafYM1seDDldNIYmKPW9y4K8Np4jxTRIq69smVu/QgdGPHgkvRxQTzjagWcvsjGzOXBnUbUBBjWh1Yk4kFMWpfCNOfutQHScv/FPHdaWvp4g6fZhGIpOZ5QenLtT5obc/i9tfRs4AhNliUCwrC3n2FDywM1701rCmQ1jnSb6ezDYjO/ff58DikwplXBt7fcWJ9+/WoA77GfWH7ez93a67H7LRJtbMyi2Vofa5NLnv1MJvQ7WhNFapqAzaGD0zQBQsV29Jy0D0xa0jlRjC1i9vUij9Y/r0Bk8oY/VzTr4Xf+WYQ+gDotC2899fVf09U26OW1v3Puc6rinwHGniJkDgwMjZrJe5xFkKgSCclXRx9hs3Gub0672rLS1TpUH0DPcgpZNdedk3HM1Wd2q1amJBYaVFS7QfbSRtA0e5DLj3YMlsl60U/tdGbyxdoR72Rg+3hbtpq7YnqvtCUUb1yYK6Psew3pG//94jaBbnYRr2QMTD4DGvWPrmed2rxHmB7wa+7E7w7BmNQWW0RiA1tt0WYbNWtuM7V082HERzZtrtHUAqf9NIM+zZwxmgzGcSvTgQfreKtNQniGtXVmrF859f7NjQA+OXFOhjfF4T9LvrWWnTMSKPdRJVRbpmVt/rt4my/4fYOUq0sB133hND8DrurUHfRoFOoc+/za3no3rrC3zLc0WltkWfe3P2/RNfHyK+3FoJTevQdtxnzYQtVGYuy8jhRRWMR+jsT38XDObU+EsGgMnTdCp2XxjLnQGjjbgwte0ZDQNCAde/RxrYoJy6wfBGQM2LGEtiNsAHgfprBWnpQ6ZfGf5OCtRSy+9KKeE+u4e1foy+/cAfQzCJohXE7R0QM4zuQuBuZAJ/I0CWh5w0f8SRM+YA7ffNdgLatigPUdjJGQhCyOolQLZeyuANUBM/FGTNvDPs4dlAbO4k5VRZAGyPW8VSFDESEaDVoFahhIA9jcTE0DH0PrSN/Zms0vC8jJxG26K6AGkXCcAUVk+kApCUOQcsMYE1GG80PeOg1Z1BsJSIHVqWidkzyia0rjh18W0gNq6jGgUfsnShLGaQJ2dkSELsAWOsb2P5Y3sRT3HgpQK8qRQE3xjxp/72Ns08b4BiGKy/6dYcDlos9PVRXjdJrh/Y7ag2Tm/79Ev+z3XHx7kVuXhkRLy2yPOP5vBlgS51TlKmZsjMVJXKagREK47wmVnMGAGob49QkUQzytw2W4PpdOBSPFpQl0o4BDWzLqXbz9B9511X4FZXnm5tvdrEOhp4eExxcGA8PfTY0Z6Cd3wFEAqUUC2AFAKXZWKfJpw/YJD6HWdYoFivquYf3GGKrA+LkDup3lZYzPoXjPkmaV0Lpietu64FUX89MQs4DyR6nSYsX840KBYTzmXvne0qwW3iVz8/LZAViI3cbNDcyca7LWS6TLU61bW6Ir1A52fN+gUUE4Tx8WMXLyWRtnyYDG+WDbIlJ7DVhAsm+9CN/VotcRREK+1Zc1If6QzEDc7z4yu2TIsgfUb+aTd+RGgfgEgMJMXr0aHOPNe4z5QzbfaAq2QFelpg+wV5W5COUTLSBXWf9ul17XVS2GK2EwcpdVEYoHkyeir9vke0DY1VfTWQ7n/jrTchbW8Y42jBwiHGS7k0ymhDBZk3RpNWZZXbYWq0vjXCtm7szs6iXWODNgH57DFDikYDcgPLtZP5QOwvVEisIcKuctwcBcAVUMzUbuwWT1GRHNenTbr9Ym9Niow8+373LMxWpuCcZkDypEo5fbGDtMDUBODbV0qSqCjSBVFrncHoKoZYQgpVH4vXjMo+wA+GMDkYljexutGCTsAKqHfs4vcOK630+nQOdHe+Wc352dwWgaAqtmGEbxatDmiGhVh5Tpn9oUHDBVqxdY5mRdxLTdOnlwzbWLOCMtC6pd3cNt26L4TcBFBXQQlWBZrACXyKQJ6oEN9zQSw5tTX+ej4uy3LFVJYd60pAMtkP1OIgZKe1XXRt0aHPS6oc6JC8bqZA2KnnzF+YkULGlwrQV3tdi2YfT15zZq/JgjKFFAOEft9aJQ7jRSZKkdmb/MHS8+YGmpOrFNL54Dpk7SMumejNIotg9Bp6tYSRrKBsJV2sp6mxlRwfQUHcvLB2n08eK0kHTbZBXr1eXfHDJgznT1qJ3iWt69zgrOcH++N6yU/YS2ksmufw7AVtDZHuQBTQl3ILqozaehhK5BzoT05mshNs0Uw8FKac+5aF+XQS1EaJfwAQNgeKBRplEqgO3gAIEXamRtWxWznUNhqe16okl7/cA8pCfhon3N3gII9P/P7I84/Xfq9enAO2I0xKJ0/8QwrJ7KP6hIhlb6Ni0iFjQvAA1GNgvz+hFYzvwLT44b4TIVTuW6k+785Mpu4JNQlYns3oxztu71W/FqaYrS30pleOJ/Ti9q5PARhlrmsTsOOPO+dhlsjxW/ynQEbRbC9rcCPV1Z87QHX1Q0UoDWi5gBZY6MebveCMlOVWI01Nj0n1t9eMqaniuuPDtATkwTz5wwVivU4RdrH3YOP7QPpm7IGKjsHCumEVSAaUFfv5Ul2ULKyI29dtDwV1BfpYyHgWKLPaytjmQLq27nt2eC0+hQs2WC3ZzafrAxbf67lgMogAAFxB9YHwfa+7y+uc7S6aGfolIOBZWbrp0dBfGJJwv6GY75nggruv3QlZUE+BoSJtY0qQDoXzH/1W+xXV6hilnbK9HnyQbBbO8zeSsmexepZ4yqtXvebfz1D/5u5sVMa6F1Nz2Bntjx/EsRVsT1QA2Z7Q9+szIL1PVmLh+/YUme/RzsjQwHCM1tPSUFTLy4z11JZBOtbaWegVOD4jSJerZ3OGz7D/IkZ9PymQudCRWVjGtz/lwRNwPaO/krY2C5ne6vA/+6MGBX3iZP8/OkIeUmIF9r0khX6QSBJqWZcBXGLOP6WPvbf/J8TEBTTYyB77BFYPhtdei2QGnD4GgjW6ub6wfwV0y4pDwWYKuJSsO09FKslNNChHio02byYCvTLV7Tf+T4jRsX8UfCjf7eiHAOev0pwNfd0Udz9puD4mwvKKeHy5YwyU+DLWxcCgDwD8R98PfQSnpAVy0dF/Wvy6/d72uvlo+LwNfBJJuCPgLvDhq9/vmO7Bpx+mbB8oqjV+pNsYIPFXncZJQC6Jvz3v/wFag2oX20EVi4R8hwRVjQ2RNy43svCv4+/5diSLVJbmcE/dv3hQW6QFrhoopBAyMA0BdDTi0QzzOBoVURTIqyJNSxhowFygQWFNEqXXuOtAqh9T6vTmwKzkDGwcXguRlMOvYZoqKcUZZ0QA4/BwfbHyXSaqqG6onQW/bAJpbbMmQZpvVbDThqoX5qA++OKUgX7mjjPhoI2lGoI0PgmMIBe9/Z8ACDrDr1c6CgBEFeXFUEdUG6+2LMQloGIQDlWyClDJaJu5KsFo/+WKlCxbK7VljjaV4uwJGvtfRydvuNXQ/8bkq9sw6PKeGwBkGsLym5qVu3fYSfaK9mjrH4f0sRrbAoHNLqp7hkaWk/VUKPAca5D5IWOrnlmq9Xa7GzvUQ+pZZSZgR6C3KLMVFbWUJXZa8N44NY5sN9s7hREX9MtM4domRHpKJTTjsXGplSM7VQ809t6jBraJShD9s2Aph/KAgP2OoWgZw76oEgbw5FOBAEqqgV0DgT1rJJOgM4KTIpk9KhqG6oUaWu9If7jGvV78j1pv1CxWpghgLy5LKNcvbZo9n+boxDVHCKipD2Ti1bbDStTaGhhsSyVojEWVNBsR6u/LZx7GTPz4+UBbvtdhYuFSVH2hmuvHfY8Xo2L24QhwAXQ6p80AnWpBC/MkYUIqtV8uRMVSn9vo1ubSRYDWdTXzVjMaC2xUNUy953CC6C1IVELcMJe4cIfLRsZ+t4GuK68LlGM0i0ijX3T6tptHFsm2e/HxzYFHojjeoCPceX+2e2syKzBrmECEue29eH1cVYAolAD29QEbGqUXvdqdVF1UcQTA28XKgFaDNTQ5dfzyPHQFiiIgGvOqO7+IS6m9jpT0wCPZAGu3Y8mKifXBCLd1WrOPfMR7CYsk9bWgA+z7QWv+QNs/5k9b8I8EAIRtmaoJWBns4PDNmfIFRL7GefBYsvQqBluDyTdbg/sG2bOtdt1y8LRwTfmkTMWzB40ISAvuRnO+5ZBThHcNPb/KdIeV9aF7qch6FftdsvAChRpoFzx8fF1Ln29tkz4zTkVu0NZjb5uvXuxZzv7jFrjmdFFsJ/cWTW/ZGTtWBDtQnNuuz3D0Zhqqfs8LUByAa8ojZETMpi5nRWn04ZaBdd9aeu8ZcY03LDiKDLpbWwENbr+AdcSvH4ZaIE/ArNe2et//fP9HqdKFefKc0SnCkyKKoEtVJT3EqzWvjPBfK304BSKxvRptmUwAy3T6mwEY1e08hkAI/gbzIdo61k4vp3lwIcp87AG0ANcjdr2d1OutvXetA0CUKyswOtjuZD0ZpwcqHI7H3aFns/QtQe5TUCyKcijBTG9H7i9tqBlwQFge8OAbP4oSFd7luBBEL9vuvTXl7mzBllTzX3ibYta6UHq50goauKULCORqljfRmQI9GDn2bBEWPJUKVqmRt82ID27ebF1zvY3dj+C9r1SBToXfPnuGVEUew3YMsEc2SlQ6OupqqBW2mWJ2kqv8kkQv7wiTQWrnKjifjHb1s4u1x/p49LakE4KORSEmXpGJZsdEfejfLzB3rcG7HCcuaYRADXdkelxBWSx/UzRKMkEPuLXnxHujtR4OLB0oFj5CNWT1ZSx3V+zg0q85Kvb5hLYc3h+rkjXiKKCIIp0yMhIcKCtJkU4ZWa/LciXuRIs2AP26wxJirRklBKAp0SdIqVNCTrYDMvyp9UV2N0fwz/p+oODXLm7A+LEbNRAIXz5MkJqbHSR6VwxPWdIVtQDEf+6sPl2Q1yLWi9BgSxsm4AopC4PQV+77MAIa0Y8b3R2Hu6AuyMDg1YXmdAUPoEW4LLRerkxbvLMlhg6J6PmhZYtZeCbGmWrzt3IrG+4EfY3gv2OTsjLOnW6jwByDQhXNmb3gMEptqEokEFq1DJZ9iza4X0POS5oAl0imJ5ZR5KPbGZPMQo0ZJRZCKL+iIDugYFH6E6+U3OdzsNstjYkiP321DIN9hilAgWd4psCMAUG8Ybypasd3kOwUt4eOW6W9amJ4xq2ivS82Ti60yAtOAllcIBcxdnpRwI6kD7Eq0BAI1rfV5QLqSoUWbJAhx4hswCZQRFSQIULYpizcTwQnbXzIhwXiJhS3ZsZLz/hyZBerLbl2QzatVpmWluGJGxW1xmUB3eMgCHLns1p2cHJVG0xOGuqrcbxhr4JcG17bbvfu9fh1grZ9vYZCAGSLdtmqr/hWhGunDvvhwmrD4tVgR3Ix0TH3wPe5nwrZC44Hi3DUQOdozxDbf3E1SgwA8VEBpCo2REPsi2QJO2mU1q5l6U7tUCjAJUDDw1mre0el8oasKzQDSgvRJtD40+aU98UU+1nQ+27f4eEYPTbwKDBQJzuSGuzH42KO09wVfdqcytb5bTMEU0QqLgTg762h+/2soc6A/ltJtBih2CZgfJeIZcI/S5Yf0gOUN2F7WSTtqxE2Ervq50i7VyQG6dVjkdmcVWRH2Y8/TwOwbHVVm9AnAVxCXR0IutifZ1LYUbcmR+iBDahlsG1ft86gpDBgl0ALuDz+mqaCi5KVV6dcnWYEwdGrVQlbAWyZegUUe6mmzkGLGCwbAmg2O/YU3J7p9jfFchdxpv7C6oKXmRBrYJ6SUBzGt3x4xz6eREqwU9mGIda7lxIY00B5Thhv09wpV6CnYp0ITKRTz1Y9GWok6KqtH7WYeccvaYCU/jRapZTaplc/zyneLpYiqwK2QzQtLlp3RBEqKeRIteR1RS3Denr3OYh2ly04D0ExMQgqKYeBPTMGJ0oB3fynQWVG0VfQgbqxeiC0gVJogmoeA9TOHXXlLipOEt2jl/lboIkZm9fvkw4/5RnxPRsn2UBc70KNFTUKaKmpTmeALoQVbFMbmNoGJBeCdi36iRrlVengJAia89PB7shhWiGTBGjl0PBy9oAGg9sAH5PvHAPV2t5E6/WgtD2u04R+uOFuhW2DqnGGphFT1xUxSiUeihmwuiA6qD6ni8Jco5UsI3MsERryeMgKQUFef7tb2aORRTMTxUagO1dakwWth1yG8fsX50AFEtuOKCrpGBqqli/BEUxvw2YnmkCcqYPWVPsAUZzjrneHJRm27AKLwmQrEgvXBded3tTR6/8MGpZKOvaoyBeC6bnzMDhgVnp7T4Ye04wnccA2jKbR20BlIOymhThfkecCnI+Iq6RFHnLZs2fGWhoBMqRZ1h6YaBeZkEBVWbTWhlI/snPgf0C/Htbo0lYgeJ0cQM/9zsCKvnAMyLsbCsk1dquCYzCKiaa5Gc3f7ffsUUmGYAV+13A9QOBwrAx8Hz4peLuNxtevkx4/gXRwHShenQ+mABSdc0OwXwmOnb9ELC+7XYh7MB01ubDbaYOfPyttSM7cS7DRoHW9ELh2P0N8PgXnvjgXIQ/O+Mn757weF3wD9+9QYwVP3r7jIdlw9Nxx14E+q4Cc0HZA+Q3B+xFUN9kyKEgXgSnr43tKSfUCTiZ8FSyeyyz4PzT2f5mHfDyreD0G2Vr0bd89nDccXdc8fE3bzB9l1gm8CYDu2D6NiHsgv2hoh7pI6YXMhGnZz5OOifs9+TRf/uvH6hL8uAMHlLyL19OKMtPmt+lIljfMQu+W33y4dcR978ukAI79wSXHwVsb9ja9PANfWxfF1y/gnQGfvW3XwBVEM8BaWf8d/1CsH3I+PDuDFXBalnq07IjxYJvPj4gnxN0A/aXiLAFHH8TkF6A9R1w/dOKdA44fk0xuYdf7kjXgk9/dsDjPwuYPwP3vykUDv4nXH9wkKuHxXasNrpVjUY5gg12UagQ6bgJfGYi2GUKwCGRVndl6wRH6xr1zHpkAmiHKGt1zYG5rPz+4zJQSMEAbabxCwDv0x3bUptTyUC3IrysRKuXCTJTEEvqBE2CfTYqQBEzqn6oMVjVxMVbDjRg+8bhVfMonCpBJTYzXFZjohcLKANacF0Wf94FYbapMsQ6vGx0oKcDSuxqmaGYk21zUA9WI7oHIlgBDHqtLhPgOPd6Ys+wyEBbFajE5jg0elYFA0Q/vL1uCKBT4WjyITXF6LQXQm5W9xSvinBeGdieZgaCFkSN6GwLyhsXv1PfGhLpiN5DBe4zSozIa0RcBXmzjHUhBU6CGe1A1oAnPlr/0HmGhMH7n6Y2aPmYsL7n68oiLWuWroJkGTZfU03RttU0G7ppGT/2C6vQGOkkAoA7Fi5stOVOb/b90+p0adhl28lgiLEBBeKiVKr0BmKA1sqgLUwQhBuHux4YMNfXNdlThYbYqLWAH+CKMFWcFga5uUTkEnAVymLSQUNzxEdUjgGgfVhzTAyd85reSropIdxeUtCotzb3danMKjf0U9nzLtA5Zq0lWglCuwStPstRQX1lONXbOYGfEzTfOP0QAUqxrEWhQFkkhRMpMgs6Wd9PE/uSQCChZ9e039jg9MPQ57IA9ViRHnaEWLGvCZoD0iHjcNzwcl6QLwdEo+qHIg388frCoCAw1dZh6DWKQ8An82zZXUU+RvYiDBT8QfXPU3j7l7gLQo5NrVtMiA250jYYFT4C3FsptD7BbaxjANV/+/+/B2gCaKJYUzSAYABw2muG9ePjqWCgcyVDpsbQ7EvLgFW+NxjFVG3c811FervhcNzw7nTBbmt83yNqMPTfnEenN442GKItgx32alln0n9VEoOQOSAfjVa9VTQ1f1VT1xw2nVpdWbQ1ngBk2vUbhvjwbwceuL6//ztf9yqCgMK5AzpoY5lynVJrK8VzCD24A4NYS0Xwjs2WBtOGcCCBcyKeSLez1+Yq2jaOavR8qwNPtCOtxnBDHxeRVkPWx0qbIJmUQvs3ZPLzwXrLC4Xrtg9OOTV6tNcvgnV1FMuKjSrstd8lEKgNrRZd+vjHvqdb+70A9uKNxkSbWW4Vzxuwk2lTxXLOxpAiBVp7WyF7Zi8pon2LBA4yWx7JXiDnKzBPiG8nAl1uVhPbf7SMkNCGYq4IS2ENqijmZVR4AvLVsi2V7/N6dM8KhmxlQQaclCP7n6ZLRXopKIeA6zvLaitfT8ErVyxnwCUjE8jjTIB9ek8bVAX5svBeJkGZtfk2bS/aXkZxBhLvO24V6XlHPiXUKSKoIp5pR2RJNxld3wMKQSgVFfRX80EQMs9OEWntk/Y70ljjxuCfIkyewQTKHSnY8WoIUwQQFfMh43RY8d3L3NqE1dl8ukdp1PJq9dxppY+UF9qYtILtf4Lg+pMTyh5akDvud2+F5BTQOgHb+wI9VkzfJBx/08ELZwPJ0PaPWVcmQa7vAsqR9zNvFds9mnBYuvDcf/M3V0z//m+g/+0/x3f/mvNJYSOF3gvKcbDTfh6oYnsA1i9qa1MVMlWypaq18BHMT4rDU0E2H1mDKWkDrbxheyuYf36GiOLy3RGogn/51W/wf/nJf4//2zf/Fv+vX/05SqqI7xSnacNy2FFywP3DFX/6/jv8zaf3WP/TAfEKnJcAHAviBizf7pieAkKeboRdXUC2TmRhlCOfQ08Fh68nHL+t2O4ZRNYJWJYd708XfLq8x/E3gu2t4DqT2Tp/Zoa2HAT1jsFzuirSC3D36810ZWZs9xRGfP7jW//BE0PbG/a9nS5sXQQA+Q7Y3laUDxl37y5Yz28oYpYV2wNZitcvFNtPMvB3E978tSdtCNhLpcZJugDz15TrTpbFJpgDyH3Gl3eckGueIKJ4mFfMIePjE9coQWFBWNk2aDorLj8W4Kcrtk8z0gv7hB9+/Yzw8Rn1X/wClz8q0BRx+CiodTjIfs/1h2dyKwNNiGC/j7j+iE6RWAH79AQk67NUDjwktBlqToqaI1gAWjrpKodQIpusUbK+dttI9eLB4o5960mpzGzx1gRe89WEkCYxp89quNzZ9WyiZxoCnTQqWBboKk18xTMbZRbovaFiwQ7/XZC3gabER6HE+S5GQbJaXhNIYI2Jq/0Ja4jMkfbaY8nWz9ccaWZwKwoYqIWdypNQbhKIQPNAz3SMwTIPNQI4iKGw6PVIws8Ka2kGiMYyNCdSAg1n2Arp4oYW6hQBneE11jx4dx4erkSL/l06RQvYew9db6I+3m8DUswJba1qEh36ajW6shSkJSMDyPehSb6z8J7IbjSKU0Pha2WGwIOaUdwJsKCG/yyLIN91dFAyD2XSZ0M7aONa4bVtTi9vnzkKpFj2tE7B0FZmyTXZvWi8zdaOlzmhrzO8N78T6bRoexa5WmY4hkYhl6IMgq31g2dPCfSgOd9jEMav4T+2HFEqKaUtaLR94k5Qq5VzMMFowI16YllDOL16o6p1mUKrn2w1PSZRn14C6qYWyCrvGRWolsVvmTWbF7F1Fz3rhB8eP/S5gJcKOF3QVX5tbNWABMmDSa1G8yxo67vZA6fcCOtn53NvIVETDASi0+eCGaoEH453K0JQzCnjMGXUKni5n6DJHSiCJ3pFY0BwGTGw1hiBKZlNVIwCa5ozQZZEB7Us2ihTrJsSqDE8fP2yhUWAVCrctzrnGHoGao4UIxzBCg8IIm2KpgDJZnvjbZArvsZb6QpBmyYaFdFLISpI5y8Wj/k6Ps4N8ByphOr9nq2u2bMdGoCwBuSnCS9V8JgyVAWlBLbHKtIyEZ7NdTXU3qcZnalk99afwdadB3/Sg0CuExPy2PiDYuBo2AiSydbXt2Q+D/vpsoaP7ZPYXk6Cn3FoYNCNQJMA4gPiCfbK+5R5MrqrwOutnbLfQBNYQGAUzja3ts8c1LhprWOZ5+pYC00dyomglRwK6W1bRF68PjO03t59oDpdtTEJPMB1xe9XVzpnqoMHQMOE8mEDtoB4nW7OnJoYTPS2FU5l7yBrjBZk+7OjPzOBH/ohTRQtBZR76idoEq4le/6yGJivQNxpF72G/JYKbfvKbLVn/xEEZYnsJIADNAXrJOCil7D1Kc2O93Ips6t2vpdCZk4tgTZ+7Y6p9z1n31mjxG7dvqs4qAGEtSJeC1wdWCPaOgw7kECfsPWhnoZxtK2OIgRzLrEFv+WARpVtgLKtq5GSzOCWv6OuRGoZW8nWZUMHu2XlOs4sG7ta8DUMzPd3B7SWWIE+VAdH+CgujikVRoUdfr4UyGSqviViOu7Yf8LAHHtABTPDnoH1c8z7EU8XC36sPjHuFeGSUfLann35VIEjsN8HXD8EXH6i5pf3Mqtide/eVihdbG4saNPAetKQSYNt45Hprm/mYwX7WtKPge3NhPinP4NG4O6XfA99U8v22pyHwswrgXNpwkasEeZz1whqAJhAGnv4Enh3/YRy5OvmJ+ptAMB6mbiXngjE/odf/xT/1/p/wD88PwBLgQTFN093+BiP2LaEEBXnlwX//vwzlGtEelDkOzQ2ZD4CT39sHWSsAUDcaaMdyMoH1rpXa2dYXwhArW9DA0J0Ap4/nXB5WRAvBogqEDbW3eZTf3/6mBrlGVBcv2Bbzrx0RuYoTuUK1zVZV4kMs3MEcdIFwLcB15jwkhakAuQ7oovbA5XOy7FCDgWaUtMEEMtb5SPnYb/zeQH21OMxVACfJvzH/FPEQ8b7Ny+YU8an65HU5lSxvd9QckC9RMhB8JID4kpwvn43Iz2F3pv4/RFx4Tymz+w97IJ3/5TrD6/JLYXN3mPA+jbi+ouNB+aFDYHjNUDONPr7nQcAxus30QgNgnyIkJk0NRX2wNQoiOZku9Fx2pcp1nfnofVhJL2OfRx39tJ1RNrFTFR5PO6FbSlEKPoDwDMwTZhqEMgJFhjsbw/Id6RiL48V+yng5aexCSGFAugaUM6JSq7HAokVda6kd50F05MrQtLoxGu1AHdD+PQMiCDME5Ai9vdHlENEvAKxaDO+ENhhzsVVEJCuivrMoHx/lubAkCYFlAMpk8EU1eoE1IULeH5GCyQBZh7iy0YxjBPHpzWdF4Ha2MhezFElFbacJsgcjbZYKL7zsvbxNcSOn8deuggGbNgcRytAzwceOHEFJPbNX2ZvWaOQpSAkxcP9BadlQ6kBpQZc5oKXoMhrxH7l/ccNqJuhlC56405RUWg0ilsIXFN+tYaWAfkQUN/vEAG2lwjZA2uoNtKLIMFoW3aoB2mZ17aGTd3W61DZFidZTbaau9mDAII7ua/XMWDNt46cH0xN4GpKrd6nOdznCwPauxPqPWkXDvggAIgB9UQhLqLgXcFUTX/HHZGqAlXBniNyDkAORptFb6lQBjBnbKlSK8I127oLzcEWC3xlL/z5KTUVT+95HK+wLDGDp3IkilqTglQRO0x3u5eZz6GrHwyDIzoCDjC74oCDAzMt08zx1zl1UM3p4S5StWYGvXsBikKPAXXhHISdrwmZoAIF0grqEqAhtsOrLKSt6cRAsxZBCIKfvXvEl4dnVAhyDZhCxd+vE/IhYt9mClVcBXo2aqiLefl9T2YjjcKpY+35tgF3pKXmo6A8kAkilU5meqHdUOlBSj4G+7cg3AQ9HRQoh9TYPb4OmwBUClbXWnu2d6AriwLYtQW5mizALIzUXKPB502KAlez9a6Cf5hQ3i7tZ+NVE8+mYAFlL49gOULcEvYt4MkkQGsNrV5Qdq/DVza+f2ZrNXVqfbZ1bGtdbgJ13kvIFelcbhlIKQAwYbyLoFSF3HH+1WiEktEya946qs7AHgXyCCxX7rN8ihCNjQrdavsGJgEzZr5ODFyzOsYym4Cg2XKvyYUqwmWn7THqte8hlhJ0hk9vv9LPcQbLtBGh0MRqAvQhYzpk3N9dcZx3XLYJ656wrRP2eYJswaiJxliAiwyhZcxlJz0de25Z7PGaPl0RG6h0xC9+9h2erguent+RiteKMnmPISsmO0uLBbhui9JVIbmDJ6QmM8MXN55dKNr6uJcloCxzC8oBACfaBl838VKRngamgq17sT3m4m37PTPrDKY5tuUQUTVCDqnZm7DXxpwLu4Fgfry1IJf/jqFCAazXiUHuNQI5IJ4JooWNYkFhB5YnisDEtSBcS/fTBCYAJkgvGfF5hcoB8j7BlZO9zg7mtMYHQV2UvUpbGZJyn1lN4vw5QDIzRvmewfr0CAvygVZT6M8DO3su/E8+BOAY2AbyhawT9ii2MoIKYIlke0wsB4MSsHbmTcjsTbs9TP0cETvn9j6nDHo6uBquPZuuSTHdb0im1bDniA9vz/jw1Qu+ebnD1//wFiqkBTv9Oa78zO2B83f/q4x0Ka1vc3xeEb57Il3Zrru/O+Pyl0dcPgS8fKUIf/aM9WnB4ZvZhBfJdoIa/XwFlo9dqFOq4vxVxOXHZPNMT7egHnvdcgHNTzYPFhS9fBlx+fCA5aniy//xDJ0CLl/OyIsFWrD9cdEmBlmNsRE30pqdmu09k8ssFuRabW/pa/n6I0U5kBXXyn4eJ6AIlm/Yc3e73uN//ts7lIeCwxcXlCK4fHMi6PNmw3zIWP/hhLu/jcgH4PrPNoS5QF8S5BqxP1R8/BcW8L9YEPpNRboos7cLKcPXH5Oen87MRmsEXn4iKAdgf8s5T7+hSG+89PKNeBWj9RNcX74OOD4Z2HZiZne/M/aQ+WE6KBj7Zt7v+D8HHHZndBXSvI+/pY90lRlxE1zfkt10/YJ+VHlbcLpbsU9LA+Tjzs++GpWZZVR2Xh454PFzQrwCp19FTM8R1w8znv5VwelA2nKtAafDii9/+ozzNuPz8xGlkOGhRZC+mXD8FSnny2d+7/mrBcACqcDpN2QC1Inqzv+U6w8PcmFOvB1YN1QxAK4gWpMfQkAcWKAN1bW3OTLZ0LEqaJ4v+Fpm+5qHjdanDgxgvcZsrGEdVWvVxGB4f0b7HBFqOxObGES7V0O23ZHyhIQtuLBLq7WQCkgmNq671wALHMFuRf4Z3fmw71AL2FvLiWrtArSjru3gNoS+3aLRqVizZOj5BFQrmg/r0GfOkN2mBJqGL4ChzBbst3rYH8p4GeAg2SZSYYFssMbnhdnOIVAIOw9G70eqY61m9fsaHCML1NtzGhLsggAhEBHtU8WfhVRRcmDGN3QRnRqJYvJmyHO6aSsF9MPS11m0mxMgJP7tdFb1YlX0e3VKOIEBwdjrmKwEpdgHADVEGOj9CNuzoHJ8DIC5EdDxdfm7Lv+d1yf6lZjJU6sN9eduQebvmmtbv5IB2QJKTHieGTzkHCjSUNzxf/2+H/g8Z1/U/t0U6bLsRq38uTmJBIV6ZkUqs/oVRH9pIATF6ENhuA8d17vVZFVY9txopaPT3+5PeB+vgyN9nZH7oatl8Pr7X4vd/fD7GMj80OdGqVhipugDIpaYkaZC5zCqCflIAyf88/y7w/CcCIMtBbjGaiUlW0FnMxgoaLZcDU1/3f5FIygMZfZK+5bo1E2/in3g+P7AGukbe6a4BRhcsajfMG4oyj5f47xU6SyS11fL0rz6sdvpDGhlViHvERLYZkPHAHfM3JiD72Pe7x+dtfB6TqsJCOntz1SktTvT3IVHNAgq6BiOmdmuUwCj19o+qfy8mxkQ2yvB5qIogp9rOo6lj0//uVM4eS8MvEawx1krTaTQ6LkAA44KEBgfzs/fd82pIEWCs3mNULXgwcSouvCQ+vbn9xtzRpVlKeMBoiZs6fNW7GbqTPtSTdlfPfNmwbrIrR1xANmz177mPain4BDXufff9WsU/wHQgCPgla30rLlpkEipCLm2mrSblmT2rFUAnUOjO7eavAayKurQLkaq8KzKAeuWyFjYA7QE4AecSd8fza7beeHq8/oD+8q7HDhl1uv7CEw5I0EgVl9+s2CVA6QB9FrFfhTQBCirP0ux/S5qr+trRIbvbToM5r/SPpPd4gBa2Cq81rq1xrLnbuvXAJu4MmPcfBUrj2JSoa+TxpSz9jTut8yx4BB3zLGwz3wRaipULtLx/BlB5raX3fAMJTcOPHlP+BgrxFpZfm/9Ao2urEGQwPtvPVYjWs9213FhppBBx/bAsZnOzJI7TuS92StSA13JErLbb62u+vjSX7T7ql6ewAd3wSQ/98XOIn+fayOQRSDN/hOYYmCGSDClVgPkCxpNX0NnPaDKDaDJzgXWuePiibo+H+p+32TjfQ1N/IqUfLVkFz8vbmZ3DAwZJ1gDkO+1A1Om3u/twmoCqj13OksDZjnhaJ/byszsqOTZ3TPmMHC0RkFdqPWBLLg8HbBc3c5LKyNst2jv10SFb4j9rPT1J3UAywwcnqeMIIoYKpIpW2OSpsbv51qNdo7b/mhtzmbBHjoD6B+7/vAgN0b+Sab4a61ynErFtLaYKJIhNGun9mgUUi3WymzMwgMxH6xp/BLhdR/xwoOuHBKFTpyOFALqiVQ8uWajUAtb7iRS38K6Q88XoBZIIuUFUVBPi23gcBMwxsuOcF6h0do7RO9zx82XXqjAXAzpWz4Rcd8frDeYKHA1BefVDI1l9sIOxJUGP5paWLCguRwS8P7+xrGLLzspzK4mvVfIhR5PPU2A1QaLAuHKrEBZAso0IZ+A/Z5om1zRAlyv8eBkkd6wvjURgCsN035P8a0axehESuTQ1EFHhFz2gmjCMJ5ZqXOEpgTZKpMCuQLbzkP20xnhs7QMgASjUgYBThPRchOM8PYE7fDwg2wLUKlIk/XqqgHP14WbJ1ZEUcxzxqaCOk0oMxBNTZK1hRFxI50rXuXmWX6IGqxGa1YBYqqQoNgXr+8Lrf4UQKOuNMM9d0qabRyMlOWy9FqNRsPwmqwVXUTEsj1yodCagyIM0JxnaE7fa5qyO6MAcJjpPOXCNkQpUvDMg4Zau9pwZI04FQuVwghPgrBzPa6fEim1dwUIinAJzICtgt7DEN2hiwJXo2y12M7QsFpOtT7EVKIB4jXz98IMSLQDh2JiAplMiEZIG88mdBUvw5q3+pliaov7HbNb4eA01d7z2evgVK1etBQyQZye7AqzKVCIytXHX9eIArRHO20KRWJibxVjAJOvFxf3ikZ80ET2GoSAiARFChVzyKgaMEnF3bTi4XTFS5zxsswIu5iQCzf38uj1isP6XjfL8s+4UbqZF+jLBXh6Rlp/AiQ6BNgYQOcjT3MGF8OhK9rqBafnivS0oc4R+b5nOzqgqdCl98j0tgVNXR2A9+N2FeLWckf7Gm9rfScTADPbkhE4Sm0upFZg3RErAa1qGUaIQOFlC3Zf5hCEHQgjkSMEbMuEalltOhahtSrzWmVv6xFXq621dR6yqeY3cbjB3pTKLJhpWnjgFnagaERK2nQc2K9XTMuhAyYe7Lpzlk+CSwyIG3D4WFj7b3TLpi6egpkQRXreaNNtnDVG6NEygdZC6GZNe4eE+xmjKnO1mmtRRbhkiLL+tZhIWXouqHNAPsQebIylnwogB+Q9YssJMSg+HF/w5fEZ31zv8Et9h/U6o3yOTVzF2/dxHVlmzrQWUCv3Z1V6w3bltwsQDm0dfTof+VzvNrbHwgScu12AsK+m+yykjZtQ2QgumM3frXYw7t3mUuHX9wCQrswmYlj2Lujo6uYw29vmYWjDBZ15n4LWesyzxuUQcH1P3+n024x0ybTBWlE3QbxysNu5p7x3bILtmWI2khkc1FNln9AUOj2yARTamAHeEaMssQN5nrGfKFZ2+HZDjQHbu4QySaNgxx3W1sccbxEGBIO6LgTY39QmrIMK1EWxvqPDXp7FmA+k66swaOmBgSK9eHspAwcSGvW+AQBrRriSMRUTx397v/BcrjDauu81aftqfiqIl4J8l1pto6+JUOjH1AXIB74/pYrDlHGcdiwp45gY4B6nHYfThi0llCKoK2s003UYikJnPyMirpX2YU7UpBns6MtPj4hVcfiouPzY1n9QCzDFesVqC07yibaDImwM3PPRAsRJsb219WvAyOnXitPXFY+/iLj8iyu0BBz/y4zpSbB8UqrwngtkLcCcWCP6hjWf+Y4+c3ris8XNsu47WhujspD1+PDLDVIVLz+esZ/483JQy2bSJ58eBRMEh28Ux2/Jmixe4xyBegK2r3b86KtHvKwTLucFuocOVIr1xD0WrB9sDb9E4BKQLkwOLd8Jjr9VpJXtsKQo8n1sLdsaiH4swB5w+g3H5/OfRqwfKupBIXcZukakF2Yst/fA/lDhwDa1MQWaKqa/fMSP3zzjr//Lj/Hu/z0hXRWHT9wDn/80YnunOHwtePNrtoi6fClNTRpirR7fFsgWMD0LglAwLBzQxkwKWjvG9X2FLhXz1xHLp4T5szZwzuvnG93cWjNqEJQX3ne0Xrk1AdcPDErjrxfUsDDbHIBnAKeFtfWHeUeOFZdqCUbl2tbImmqpxtirJup7r30+h/3w+67/VTK5Hhx2AQlbNEZn8zYBYjfnBvAWFfDD17OhPEyqZwbVyiVhgUMK0NLRaR4EAzXZe5MOdUSopOdJ5qHd6JHeq9ScD6KxdnB7DWU73KS1EZKhbizsAESRfcMY81MCrLYJra6i1YwYut+omwADb6vJCTuDBuxOpRU4ROM9WEUtMLEDpdG5YahiJEXCs8bRqJpE6/r4+yIOGdCNhwBVls0BN/Ga712j75Mt68ZUiqHfAdHElhz1Byyr7jVcweBBaw9y06hdhs9vByuaY8qpVgSrWRyhY2ZzmdGtUZtzQgpdX6c3IjiKHhR+71kZ+DCZxMPNv++HaoFay5ohi3UT/ww/r1YXGECEsQGzfj+B9HAJJh7lH+Zr/PU9/67MIgcGLnTV2rd4LZIlt/0zusKk/4xr1hFIr0GqSZBnBYLy0LAMalvnI3LumfJxnEQAlFZKMNb0AYC3Qgm5IhiQFo32RpRcGnKMQEBpVC+uAxqthnHVAtYqBtqmuKGLsQUQxTUk8XvjPdou1Z71fp1lbBOMpkh7G1X6a1+Nsd37zf4SNNS/Dps3iGKKBTFw/zVHNLqhRcvQtfrigQly8+VBgL1Ac+4ZSvXnlH6Ij6ixDH8PTjzQ74PBowE+Cquvtn+bg6FJmDnSvlbamDZnWr+fkfXfj+8xuzt+DgUQf2Bf+DqXYS0O2Qo/1GWz7KDNjyspN/BmGJt2X+M9eqnAkB1VzzSXSvZCFUjoe45gru213RyMNHxP7PcIdOdGE1AgFrhLy7yLomemfL7ExsCVt3383N4CaC2ohucSgOh7sA/zM8zXwFCLzO8eW97YS22cdVg7LkLlQxZDxV1a8ZImpFix39hzO0+GLHNjlQEQBGAUELSL4mPG8lBg3xIkKBlJqVo2xw2KPfYYrNo50s8pgcCo8dGCzmSEheJrfnhGXxrjWq9ooAjngPan18xqZ5S4D/Jq2bd7NapsU9we5q/5IAUMEjI7PPR0FLoPh+/hG/0yP4lnE5jR/4Gzk7WWnvyoCMme04KTNg7m7owZyrZfBYNfyDUUaqe7Q/xvgW7MfvLM8QH3sfY//SxycE7GDFSxTKT2tTPqDXhQqMP5z97AOzNvpwB1f09oP2Dt91o9cqiIoWJJmWwcKQhQRGGGq1ZBiUqQUW7tTAOrzE/WYmBKioNhZr1qEDRAslZnFaCzccYzXwxYUGdG9Y+7EW4saM8edgYvy4nCTZrmW19N7TtMZ6K1IZwraia4X6olH6z0I12l2ThRWL960zsw/2jMjIv2de21xKE4E6efV5IUS8q47onaIUO7ILWyKwkm+Oe+hXomlVT9tBLETGcTcvIgdyQm+RzvRnXX2GjF4mvR7lWDNgYJLI7w6+G44k8evsPfLD+ydlBmV4Mx2KxV1XQuAGIbm5tjzthYPim+Xzh3tnesxRXXGtseTU/spOBgjfvPrTTEfXBfg4ImMsqaWe6hsNk82RiVHJALwegpduPi2i4aulloptvsp8eSdVbU3+fjDtcfrq789ALRBMxEGcKFmc10liawFDfcOGsapbVcA0DEZeHEhayooOEpCw0PURYAEhtlw1V8NbJ/XbzstMYmpuJ9FVkfV5ixOh7hATAK26uETLUuvTsw6E3BjDKgp6Wh6siVdaiCVkc1OqyOblLm2w4ZS68Xk95OLx2VuL7j+ByERmJ+zBR5EqNpF2VNkR1OFGWpiHmjk+cZgVybarQUBu3V+j5SBIXfFy827pMvQDNetk72GdAHU2fNAGDqi2KiQ3bwltnotCGRauxiWAUIai1yKgBUOoY+VqoM4N/dceG/7MwghgCp5uBZFl+yItbSM13Bsm9BrM2ANSzPAfsbQX4bEWPFu9MFd9OGrAF7iSjR6CcKvJwqDcCjiRlYpiTk7tzSMPyOjTNNpJ/njOlcUb4hAyBcGdCls9jz8uU1DoIlmYhjXQTFMpSeXWwGxJ4zZEWMVot3rtbmiCj5jUrzQClEDECW/vNcbjJFFJqynw30fbiYlV1i8+etXMLGLEPyPdt6zto+dUrkkY6dVNZ6xhcyN8LuNSEKV55VG2syI+jFhjW37DGAXk/nTpMBUVoF4ZIxZQZEZfPDJaKYOmedBJrNsAKtpZn3QC3/f97+pOeSLcsOxNY+jdm99+u8eV30EUlWVlGsQqEooQChIBSgmUb6L5xxyBF/gIaaC4L+gQBBVKkAQZAGoigJLBYzIiMZGRGvdfevuY2ZnXN2Ddbex+z6e5lMIRJ1AYe7f829ZsdOs/faa609klnCtgToRio0RFEkZQUuBAatEPBAyRHAsI65X6fpmNtA+nfXmYZN0O9jW+gcH0rjOFvCLEUJ2LWAITVUp2MFVqvFZAcxNsTY8OGyx1IjGQuhYSoJ1YOXsaI2QJ8iwmxVrpnzKCyNQJQIW08BkJYgZS2lSQjAmCE5Ecx4pLmHj1F+MtT9rFdtJZxtExZF3QfU/Y7mLPuwHpCbJDCaa6eqWlsUPuuYra3YkUwV0u0CgMJzeSkI54kVrpw4hwe2XJOlIjyfOFeshVMbM7Yg0JrYreuDlRC6SS/3rl1S9ia0qg+rtxao+xK0e/EWFzT4aSZdsfFWUIoAQEaOKVxDXypkBiQntGhAHzPH9drQoGdBiCuYFCpQFvSWfVsgsPcEDYAE6nNrjghVMTzTK8DnxDYQakNC7x1vrKZm7BP1vaesmnMCDYpozvj+Cj73gSujNafmEoRtGJ7FQFT2Pm15BVnRCHZwa1MsLeL9fMDzssNSIntX7hSLKuJZTJYTEM8NkIBQ6xVIGqoC5wtQV0OeeC7Ic4PMBbt3Ozx9IHcynAOiac+dNuvsmTgz8HXqpAe8ULK3IAHzLZ9J2RNcjtZHlD1FuT48IHa36A4IBKCazj/MDfGyKXGLdAMxCa3jDXGqXJsv2unC7tIdpwCnJkMVdYjsk2ksAKnA8AS0E6uCzeZTd721YDk/0l0mXhjPMbClqzF73Uakc+va33gp8BaRamyXavt4S37Gc26X3VrxHJ4ssTDgYX6g/tDjlaZK8zFbj9uXRmAxumxLPOPTGQindZ5Tz8rPz8dKNl4WatYbWwmFqbBd1LiGxmoxWijVdMaU+aQT3eOnV4nymFs+u+UuYr4xhlcFYrO9UoHplSXVTXoVFwCWGpGkIYhiFwtuxhkCYKrc/7thVwdCNje/oaLXux3aZtrc/HHC8c/3uHzC2Gn+sCMDLhotVbTTTtkLdwUevE+4dyYIph917XGoNFt9/FXCfA9cXgZgitg9cz9sCbi8CihjRh3v1riteftN084KzZ0e/5zj9fb/q7j9/QXTq0w3bgCPv9xBA1mJTv11A7rhA8/XumMccv5EcHmb4DppB7mlArtfj/j2r77gHH/FdqW9K8dzxnEJkEtEmKzgYknb8Cjd8Ojlx8GMoGgy8fIjtnnLL8DwbNntbwZoAM6fA5dPM6bXNJCMLxHD71MvOrHlFCwJNOd8oDMVv/76Ae+fD4hfDsgnukt/+V9G1J1ChwqNiuUmoewD5hvh50Rg/E6QTorxA4C/TCxCHCwf2QNLVIwfBON7xXIjvYvC8I4GkqGwoj/fcx8PC7B7Z1X2Iz1z6iBmcAVjeLH6n1/MBftAVh2rr7qCEkXw+LLDfrfgJw+PmGrCu6/vEZ4T6qHh+AsgPwUc/ihIR1bx07ni5ac7tqkyKVadt6jC3/z605Pc6QIMexoiFEWYA1HwabX6p/MYrpAXbAKflsHqjCHq3TLdzYUr7JfpXqeJmhM0QRCr6M5GWesVCjucFmshYHQ2VtY8+V2gpxPbZuQEb53h/f6aaVrokgq+d7Cm8IYs9ZfdW5wVYouBiJX0e04v4ETdAeWGSVE9W8Bswb5rYEXXgEJD7AmtLJsdDGCCaCxKqI2p93KbLbED+4qVnVGSDBVtca2YtoG0FY1A+8DAmxoB6xvnNFx3IVWwUqraq7MAOkVQYZVwbzUEACKoh4QWA3LTXo3uaL8j84aWxqnyehIrys2qzYgEC+LE65kMgb0dJrwZT3gpI86SLdFtKLEBpsVQm6ekSK06YEQxZsAaEF+Nc0o9CQtzQ37OV/QMT3A7Ci++ednzVaBFUtg4n1lxKDu50mIQLfZni1790xSunEx9zrgWTsOmOtoMvneqsveIDMH0TFbhsg9aq9ibimUDEJQtRYIY/VJ6L0KpgigOErAS4FqruPBwcL3OlXZQhFUSQ59739BNpbdfrwilBco+tUxyLMiIgXN0CMg7mgbNQYCN9r9Xu4LNbUc+G+xgM/1O1E6njhGdgsNHZMBWCFd6OtGVSqs5mnkSYeduLvQDlS+t9kyDQLya1NkBzVzAgaUIqxGd/UGEOQTFeUkoLSCFhhxrN1oDwHZPVUBAEOimX96+xkGNSIdg+Yg6ixgggWPuphgIfh0MctNZV/BCN4GXUcTLPqCO0p1pvcLptMqWALV+u9BVp1gbAAm96gx4kgtIMbp8qdDjidd5e8MALLHlkCxsJYecrLd6MIp/gPcxvtJR27qEmffJGLo8QhpBO+/vnFR7YO1643JDIDZUJjtbh1maA22qjd4WSVpnErmruwJAzaaH1qukVQqTcJ+PIRqtC6uHwnaeN/t3860nkW7oVbMUBaIN8azrmrRxbkaX9hZLWwbKtgUfDZQs2Z1tPqVozCiF01d7n3sbMzfuEWElJCw21lVQfB4o53ovKItShrKMOC8ZtRJN1kTjwTpG7qnFzg/1Gze6auB+qPMMrXO/n1Aq5LRAThcML28QX9giL3WKMjozp2t8zTjKz8xoIJJXblsyZ9KRwLY747YX7oXxQhdcGYIl+G4QaIAaQAPCUZCarnwPB2iiAIHXqd5DdmFf8XheIKWh7RJbDdWwrk+v+JocbMumSyft1VBNpK/2So8luT2x2YCHLFBYUtw2mslm7Q1FoHEk7d0ZegG93aCoAoXPv+z43unMfTjO61j0inhg5bRVqwB/VF2mNlf7/IFIv/91EtMoqWW2APIew65ddxBZc6ThlO8PCrL3GhCmwnM48LnUXYK+YWvJuuO+W3Zh1ZtaFT9dCHCUXTCaPZBjxT4tWFpEsYpPkIYUKg55Qam8BmdwuGFX2MxBr3T2yu6YUOMaUKQPF9QRuLzl+ReO0c5GpcwN4H0tQJg4511X7G2mmtFM0UFrsPVjpcRtueP5iktEuATEM+Ozsl+Norw3GFtMAfN5dScGLP78YoIuAen/GTH85huEn7xBy3ssh9BpuJ2RJSADYbYeumrxVmSLnLL3aqTt5fY5wzu2qjl+EfByZ2e8z+2zoDUmuKH6uDBGSEdFPhGkmF9ZfmNV0OkNUG7JMAvvFLlx7tVRcPyJoh6sQ0LkmXf4kg9vuWUS2L1xRIFoZ73JIPQxYzkm7J/YhWG6F+gvT3i4PePpZY96SVyD2SVKXM+7KsgnYHhpGB4L5vuElx9F1D0pzG1QyDshGGGFAAJa5rRt2uy6Z7uheBGMHxhLyASoteSse+lgCOcqn0ev3FrVFUn7WYMqKJeMkivuhwtOZaCz/UmwvGlI9zNK3fHZnhTjl0eE5yMOw6eADFBhnlLnjzaBv+H1p7cQ8rYNypYF6cUPNQ+MVs2Tfx1Ar3S6Bk0t4PMDY76nCJrVT0Ud2KiYAnrT9wig5tZKhzyg9350nUW0PqK1AhegU06tb6js99Ry7QbSNw2t7sGRKgTBROuB1UhgZeUWHkbpoqh1pYVBLQmrJpS3xVmNXpCOTj3gz7YUIKNl9RaMtTGzOrRUoF4nt91N2tscObUquq7LgvbKxdWitRR68d50AAYx2teaEGgCllsiu3WyyuIkDOIWRX5p3T1v5Yor9V1puL7GHqlwh94GTUwCQq/UaYy9hRDgybJpn3PAEkhvaJn9x1agBGgvGccl4g+h4WU3YioJc4lkjKhgWWLvT+c9bVfTDBizICC4Drc063m6oSotCyAZMmSrsto8dx2RURfD4pV8o4AIrPcdUe+arUpohxaDig1lJlnSWIA4RYQsPUjBAoI51npGYyDoMVtS4G7QHyfpIuu6aHZq+7qFjYG0rrP73qsbnqza0TpyY5XCQKlrUgIPuGDujHFaK3yudQ2VCYC7Qmo0Q5/SOkjiiezVPPJ5UbmOXfOVTmwP4KwDN85wFoUb32leTUFk4NelCPJxbVVQqu8xALvUUJ5Qo0A2LZ76hu3V561T8MfUz+2jUAXmYmY91p+53+bGIMX+BHPQBYDlbEH+HgDW/aC0gKlELEuCXiLkwoDCq2PUyEnXDfueBoBgwtbkJrmmhM88vyQGuuZknY9WCXRAxzEd5d5RXRIAYNuf2HuKr705pZ8RXi3lL31/+vk4d4nGbgRipEFfCKRtutug9XLt+nVzTXfjL41sx9YNkvpz4TzNx9bBV8oaOI/cINCTev8lqWItfvxr6AlRWCrpZ7Df7YAa9+vuiJliZxCJr4FgvVQ3fFkH0FbaGudLSwxInXLWNvPcg36pdOaUplgas9+wWEW3AuKMJfHPsqC/J7W6tuQJAe1mxBXFWVbtaXAWRiL7IopAzUjGNcdbg6aWDBBqVsUrAiwBFzMsOaWMHCsuc8ZyYY/ocAlsMTLbXlMBZ+S0HCBREE+LsUQUsttda3993K2rQrzw971y0+MXXc8LB2qqVV5YeXaAEH2/qQP6+S9qGupROgPGX3FSDA0ENoxan44F6YW64nKTe+UbQPfHQCPI5AwvCNhiMDW6mI+hfxaDf4EM3BvTqaFZ4tFMykQ2nCJcPE64pl666Q3/Y6DPxYBiYwZ0Km0Q83YA2kDPhj4XgU75jWfu/aFEDC8O9K9jrMJnm06s+qmRjsySwYccba9YXnE/dolMmKXP+4sQ4B9e2vpcbV/2Dh6huDwrALuENoS1fZ/rsQdWBnMAQqgrTTuRHSGVY1dveS/ZwQM7F2t2b5GV1vnhuMdlSWZ6r5hKwvMy4rRkPB6tpc0pdD1+2QviRZHP637SDf627VQ2z+7y41toZB/TslfoaFuUyYzqDZOQsKwxiVfP2cqO4AJmT8z4/HNgMlRHc9ndKTA0GrYPwTp52PwK0td2uqjtA0AbgeEDNbR1FFwuI1SAy2tA/smPOc/OnPvLkflBPqmxbtiLNlQ776PHrbDe4r5p2jzZAtSV59juK/ccsPkkIADh7K5qa7gxIV3uOOnyE993ei0GvAL5ma1tXD7g85jyPwEuKxMqn6ipLXsDaxpM3mgxfGV3BKno7crKjeL9fxxQB0X9bsT7p4HU4qioe8XlLcc8P/NzhmdFPjXMNwHntwPQgOFF0S4WE+x5jfMdP+futzYGkblHND+YdhSkY7A9wM8fAMqeussNAFFki4fnB2C58wDAigu7Chkb9ncX7IYFT88HlKcBlzTgr59fYa5GsxYgnAOKDoiLYHrDHsDz3WuE5XUHdupgTJn/sSq5qw+/Ip4rhsfUaRXOafdkrgfrQD8kSD2gUYMm68GUbcJmwqhx4oKZH9Dpy94PMl6U9NxsQjtPpKwapTnQjKQmpNKAAiYGjc3tsR+hQ0K94WHnBhxuXqEw3YXYe0VBhAGJwmppa4J0JtKyHAKRSafjWcwYnI++Y6+x4aid4idqG6xaC5mFtLW2TzwQThPkYuZAOfWqgAb/W3rQ5vpZHrJuBsJKG+l0FO2Xgx0+ncrJBdMGTtRQDK2q7IlXz6R37r4jJanl0D8XaoeytRmKU7UqLtYAKK26V1ZUYMg076GlQNMxb0OhinSpiM8z2kCkVCNR7rLHqs0JQH5PIOO53eC031GDUVlViKmhLgHpGJBeVpMYlVVv2pJAghitk8G0zgu0+sluSe5uhKQBUhXDk03/i5tYcE7HiVUdUmP5TJYbQamyUmcbOrJdbohoOhAU7OdYFQuICw+2sJh513leE9oQgcsMnWdIzqRtOiUZ6zznKRqYwG8FVpvnJwB0YfJFEzmPdlmRDxf+vNOi5ldpYySHXvXngWq0lkmRzkb/NV15mKuNsa4abk8MVVnptOcvTdecx6uj3loIAJaKuAHJpCXEJWApZjYx0AfPHRV1NNpM4gOrd6Sa4xszzYP0g84lA06vcRMwBvthrWw1S6RmY2EMqQdH8kOAgSrEaIghBLRdghsOubvzqpkjwER/AMG8T6hzwBxJa/PXXCLmOaEsCeFEWqEo5x8DgsC8ao5dQuC6bm3tuoVQMr5rbUiXit07Vmh3j20197H2JZ64ekDsNExf5xpWJN9dHqs7TBo7g4kz+qHKX8T3AAKpZN5ABNjv+Bk52fysBnwodByAFNGGCARheyqnkS8FGAdgSD0ZdedugrQV46OvZc6F+T5iOQjioj1AW5kWgjKTufBxci7FWmPZftIBSf/b1pYbmHW39amwIjeszCIH/DzpCsU18fzQshNMr436Nqolu6x0ShVjVQnKxMySz4Pn1fho+zNLoCso3ZxubZ9tzAWZCtphxHJHQDNOtVduAXB9uynikCAGNGikmZybEvnYN2NXuGaXoAGdNusx4zwRAOM6DMBEo5hoxnbO6AnW7xRQ1JHrM70o5Hjh/d3seSZsl6JRtGlIJD0o7ZWt4ufM5g/WGKXLRa0KqRHdyCedyHpoRqMFSL8FpFfD8ota+yEjU1QgPV0gpwnlkzucv9ghLIpxmniO7yPqLjLptVI9K512FqvRkXcE49JFbU0LSuTvDeeGsk9sC2XxSBuA4cOamNW9XCWmcWIy2xJ/1oHNuFiPVpdC2NqvIa1V42Gt4vaqcmOcFS4LsjF4msVg3hZJM6zPMyu9GgRi7Q6bAWcIQL2ruPvsBaVEnB93wMJKKendPHtpROWMNIUsXOPlEHrl0uMADcmSNK/oM7ZZbgykFyCJ73scp3yktOr8NmK5JV1z94FU6MuD9XId+byqOUFLEZw+7HHOI9JQEKPSJEsU05RRHweaBZ24HhgrGACzrKBxZ+LF0PeJLVD9/LMEJEGyNp7llmefO/TWUdFuKuNpZQy+3DG26vrOyvGrO8X82jRHoNFmuVH2tR4b4r6gIlniS+PDskc3h4wzaduhkv1Q9w3pDxFv/s0FLQecP8soO8HpC8HTryLu/gp4/W8vCEskg08Vd789I304YfrxPU6f8+fnB47r4hXKTQ9oP5+6cSm4V4yPBLa4Zh3IlKtkOCxMFlWA409perb/MuLm94rlVvDyc8YT43cB+Yl7gDRQweiftTDWTCfSwfOzYnhq0GRmT4PNs7KepWGWHqs6XfzyWcXwP3nG5XmH/b/ZIc7A8ScN7aGgHBSnz4E4CcZ3XDe79w35WHH8POL5Vw3jdwGf/H8Kad1DwmKdYKbXNNJ682+O0CB4+fkey549mH1dOEvA23n6OoIELHcNYRbsv+Z8evlFg76ZgceM4V1kL+ubgsPNhP/FT3+DPz98if/9X/3P8M1Xn6BpxlfhnqdY4RxPJ4E8JbSsOH/W6FJ9v0CiYviLfR/76bWiTn8TIn79+tOTXAlrUK32p4C0rU0Ftwc/CpoE2aB5mdvpBm6I5Nx0d2d27ZFgTSjU0HCWxcPaN9eDRXOu6LpQp6ptAnjvCej6l95bz3rkdvfArp0BA1g3QbGNO16sAhCYmG91E/lEyocHeq7ZkuYbua40V68wqvYKhOsuNcVOCyP1zYJvvz4RAA3Rx9mo2+xx5VUJC5rt8v3ziApbsBKkJwlq1cluQjEYcuxJLvz5Sl/Y7hjC57UBHWBjZ8+7ay7B+2UbjdY3IzWtoyar+CpWl161iRA3110CZVfNvieK2gS6BOuXyt/rWnCbI2yxYPeXA0IIlomui0g8md8Ena7P6smQVUNa3DAUjAqGvII6fdx7JXdNbFoFQuLm2E4W1EblJiBgYL9NACKdqZ2y/P/Xa7sOPn5Z0KmN5mtqz1BKg0QLGBbZ/Lj2CrZrnf0P2mZvqB/RkyugsKCtGoXdqZB97a2J2cfXiF6B0it6bm9HUUAdWwXU235tDU/EkuAsaAuLbJ3+qejskk67rIrorciisCIquoIFXi39+OX3Y8/MKePBATUEUq3txzh2Al04H7QAsnC9lCViEkWJASU2lBpQS0QrTGY8QF+rUZ6orIF5H7sfqvo7hXnDUHCDPBUQlIgWONj4uNHNqqNnQusou1cFmOACkvl9i83ZqsXu21234XugSyB8j/uIctz/bc+oM0bM+EiM+UBJyrofsX2ZrkGhtakSAUEw18jP61iun8mvsc0G1v1+UwHt49w217s5mzTa3wqCgpvkXgwocbdzIRmeBj/2eT1ZtEA0FFwlX36d3ayj0/W5fimfCLZebH8V7SDrVi+qYELuzC1PavqcVp9n9kdM268C5LhiAI3jqlDA5QLer72vMQCLsC0FbO8RRW9NZm1CvD/8lRGaCmLdSIlyWsG97f7hld/eYgXolVw/Z5wCKj53bX6lNeEFAInAPDhzxABO6wnd6XrKhNzbmzjV2c10fK5ojgRiNiZH25drd2GASVwa9zUbfy0CTMbI8SVi+28oasZPdJ6Vaqwb2zOuzKj6WU4gl+C4ws26rir9W3PCZmur+n6PzmBYwRq92ofU28fZNbPCa8/T5ve6J8s6Jn4Gi6LKeiZv575Ls+rA55gm7SDpNZNj/UX3DljBrOsWX25U5Sal/jtu7BnKem0sYvgeua5NAQBnRtUId2MTAanovldv9my1GKObKKn9WrDYBILgvbi3w1CtuNvQ50RvYbkIWvUCDL8XJ35O3aG3woFaPJi5vknN9qRH0EJAmyOwhO7HARBs61ViYYECZmqWjoHMoNMM7DNqHlaad+PPnn40dtaHALh8NiK8GrDcxS71ksKiZn4Sa9do88JcmjWQ99TB2LyCLmpfp78I57ivB9etu4wBJvtzkCXMnAPOdHAwSMVZF8ZEPa/tpajDNXDKzZpsH9SNs+vWHIr5lOB8HqAloNyYplkALNaj3s5j7v+mZY+R/zeZTdkLvF1gqLZ1W1K/ZdJqgrEOV3CXlXJ+f3hmBxaegU71tznfOH8Z369zp9aAL893CFC8ezogPwtKiaiH0Oeoy8jCzPeVCmgWLClBo66SwB7b/d3i3b8fuvJG1+VI0+EbIv9upU50xw9NTrL5FQ+FTpf17Meqt6EQnZneWEBxXBEaP7glC2oNCIdMY6bjYoGyXV9pSIYsq2n8tG0oYSlA5oLw3ROpe/5SRfTqkSVjwe4zzDTG0YGonxQgv0yQqkSqM1skLLcBcQGGrxdIVUyvMykns5pRg2J4PwGtoe4zNFuFyGhhcrxwJuZEJDp5G6NAyp0q73ep6yEBAM/8d9slo3gU6EWw3CRMD6YBVXtWlVpUjYp4t6DOAe00sMAxNktaQt+05ntC2l7FCSUglGiJ+0pl9lYOzfRwwVojuPMzg9ZgQSANedIztTyeQLcxYno79kCNdCsFYIvR6GHlloFFOAfgFPrhxs8hCpmfvXk3k9Doh+miGB5ZvS8PI5abgdUIu8Z1pdhSmRe4u2soiuG5Ic6tb6zLXaRuoidLYqyEldrTA59gAQtAuorRCtk/jQs+n3iIxImMhfKwY5VoMtrykJmEeoJryYGP8QrQXB982CQM6mvY/u5Bv2kVNcNM3Nbnl0wT2w2pBJ3O4lTbODWkc13Xniq1Y+cZvQ0PPLBUYJqNCry5VguUZVoYmBgdFVE60EMwqCJOZpwTAtJZ0Kx/X7MAtrbAJKtvIvzDtizKtXAB3KEYMPO7tj7PdCFjBbCDIa6PUJYKeTnxWQyZSYEH/ZVaTI0B7XZPacRcEE6rDr+1CLF2DunMA3Exd0coEE8CWWi8M8UM5AbJDTAgB2aYk86m/z+y1QFbnTTuW56EBwMnY4RsuYkxQEM019WGfGx9T4cCbZQOltWMjaGFrAntpvJVR+2BpgqDJE1qlWuCT9TzCcZHOlaKm+qpQs7LOobeqs4NBV0THeP1/ufAh9NpS4XuB9R9NvDQqJKnuX+vjQniAbQDRgHIAsTJQVwzdxn5fd/DNbAC4vpZ6vdcLx/X66oOmjbOB419X+t09wYD9JSmggasdUdyQWe1tLjq2tIJvW9sFaVJolfabczLTei0RhqHgEaCik45zafW9a3iZ7pRI3WM7FLWWHHcVqc7w6Jtnt3FzcN2qwylgYmuAQnDM6mU00PEcsM5Ek+CkABouAIFmYQZjfC8JmbUhdLUL2pDejGasgja7Q7hNEOejpCtJvcyQ29GnrmVFZbtmeF7WHdjz5sWQgHrz4J7x/K2cD8v3CerGzAKGKBdAoangPyi/HMiMJ5fiu0lnFPLwwh9xUg/HetqsClmhmYV63I7IJSG9P7MOZN5qIUzy8JtjJjvWUHwczm9zAjHCaJ7xNuIUFm9hc0rJoFAO9oYGcA1PjWkU8NyGzA9hB6QkiK8GqzxQs1LQ4CQCd7FSzVTTXQJGO/ZaPrGZGgD92/vTSuNZwtbUFkMUG0O2OeVe2vxBgAlIExhA4ID7vkyvaLRZ/iuIS2rxt1jle/JJGQzD2pDfuIP1DH0tpFXfXYBDC8Vw/P6FqEohqPpfrOBIHvpyQAqJ1OtgkpTC5PtBHvfa/2xJ7du1OVJWBMmumFpHajzV5ytqCRMUiiRWGOh5YZ7lEbg8okivwhu/z3XwuM/BJZXDZoakLVfH5R9SksRpOeA4T2NY+uUESbB+I73ffkkotxYklsABOD4I+5J6Qjs3gF3vyuIf/gO+OItzp8dsNzSMGz8AExvgad/SAru/W/4PL77zyKW1xXp0WK6M7D7joBRPnI/dk+IYMUkjTTA8oLacuPIhJ/9Nkc+qdDbCnmJGD4ESGMcFifF8MIxne+A+RWf4f4bWQtVBdh9qNh9c8H58x2ef8F94OEvqYnt6/sm4PQp9+GyY0JJyduG6ReA+Q0f+vhdQDry73LZAztF/dUFGhr0ux3SY7S1ZLHlA69pegieSpHCrMDxi9i/1oGsrise0BLpwWVHOnMdaLh18yUT5KdfMV+7+X3A7jvOKW9BFIrt3ReBHhNCPzOBukRcVPCvfvsz/CsA4693ePh1w/ltwPMhQ4MiTaRop6ObOPKMagmYXiVoAsb32vcrjWRR/V1efw+V3M1u74dRZSXXtQ6ABTiOGjRfrGoaLV0RIwAw2iaKIf87Bc7SUdU1gfDEGCvqYUh5vzzXWQahjsurF1fIukJLYXPNQJqbmEU/gQ9l9aqwWovSOsXt46prmAFtam6YNFEJEyma8UKdb1gMTSwWqJUGGfgg17HUHvBrhiF4DEzpfglLjFpHzFm8tOsSgWSjnfbqqfax6lX2tkFh/HEGaoScEsxxtEdjDruewDnKFmRF7/yNXHt1VXTZItNbje4mMZMCJlWwOSOb66sWcJs5yRacX/udYUXFdGMksmk90lFcc86GBZneKJv/2b65wLWLnbbacOUa2t87bsYnXie4bWdB/mjwur+qUJNpzeMFsjqlyjrP3cQG/XnKql39eCz/Dq/vVX+dNmzoX9fIbiperHTQ4KgBvf1kbGsyuwaKaxDVA3zXsW7XoM93f6DOlNh8/6oa+r1r9mdC1D0YrbpXaNzkysCEq183IL0bsmzGu1cD+vMkMLG9DI3CSMP6dkrV78VM/T6A64SsNiabaWWNSJDeNztUMSaKHSYBUDci8SpXk7XKtamydK3rxxfzd5wfZFdgDQb918Qrg2Y8YyZTzXTOTpclHfU6yYUZcLQs/JkmKwMG3w84t/sZDUc+2lB8PMMPrIG23qtXthRm8rMFHtyYxyvIsGtoNvaymkEJGCRCV6ZCs4pTr7x5paoHpwZ2+I31SpSubIatZsyru+Y6L9sSvNHoyVCwvcifU5CenHWmC3RFYQJM4iF9Xrfo+xnbl1FCwpttgl5NAkCEPliWuyiTuk057OMK0vfmWQMCGtwBWPxrXr2HWMUR3AsL2NbHmDm90lhZifAKwrbS5ZVAWeoq5QE6sLBerPTxBNDPjU5z3PyoxxpeXWGC4fOK+3q8KRBR1Dmyncu2zYmdpx1YtuDbXY/9erydTdfIzibr8GHUzRkmLmOwPdUMyRxEgDlir6wt7bEOnHUg2gHGloTAm10fsLIXnI4cSlgrvi4v+AEWECvftheaNEU8BjOqigogziwL/Oy+xhSMr6L0hLXPw7p5TvZ/b/3yvZcvZUt0AXTWSa8Mg//vJo7QHktugQzZnP19Vn80vVlhMkafgzoFQFRIEmND+XpjvKLJP8fOctvL14H8m1+9fZbPVZ8f21jEb2mzd/ef7XPRxiVZpd73rYie4Eryc5lxF1KzcQy9WNKcPfTxuCjnkJ8XmrT34KUJY7D5iw5khJkxnB4q6hI7KFH3VoxZBPESDdjj58RJES/V7s3kHxVsc7bdI4yl5ey7fj4lRcgVGmJ/0y24HRbFcogsqBSTqlVWjGk2yH3HdfeiXOfpUrureN2JVU1tnVVArV039f1mqpSvx08qECaOX8wFOVcU7Lg+PE5RG7MAwI2gjM2mgcn89nxwEIvJvqxtkJz5M6gBqhvgOmmPZ53NRECcOUZYBDJ7dddA4yJQDZzXTaxnu+3fk0kF3azU17vpt33fbeb/0uezMzr/Dq+/c5I7TROmabXgf3p6spllO0WldfzwPFgVjyYkTtkIi03itPL0y42i7RswNISxXuWdpQQe9FERInnkYgMUFkEzoxin/MRz6do4qLIxdgqQi0LmhXTmDdVNU4QsBXK6cPO9Odh9VPT2POaAKRMhA9d79QpkVcQT33t+GMyEoEKWhlCt8XhTM6sKSOdKp8xk1ZAAXiNglU4znMoBAQntsOtJutQFbjQR5gI5GuXTr9erWzYB3GgmtIZyN6LsY9eZhIWVorY4bUOgLwFFRyAo6o0lIbN0qgmArsnhf2zD73ob7QeRDoFGPbbprn0AG2RiL9R2GFBHRnadpmeHsZQGOZd1Y4ocLwQ63IViTnJ7Lo54ouY4zgI0BtiafTLZeAQuFGpZ7FvBDqMULAhS4Dyjzmdom1E25j6MKJnohrkSCd0EIC0z6KhGu2MrBm4Oy72SsbCrkH2FBEWKjX+nirChqZzPA9r7kZczmLlDFub8CsSLzfPL8lGGL+ucnZY1MQDWam6wHd51uyLwfsWdug+sayWn1d12qZBAfXuzwDDMjUXi2Sp7wwZVB9aAf1PJB9BN065ezYK1Utd7UeX1bV7uTNud0HEd+LHKnhCH0GlxTLqM2iRCTVbQVTvjbs/R2Cai0El65U5lHUua4mVIVaQz17oGgQ6JGtvga0OZpNgB3ntIBrG2QwaqjAk0xwtrgNGMPmo6ejeCYXXa5rLNbdRogNlK3+kJeQC2fWHrGCEpID5P0PMJbb5ALxNK20CipcLb3Ky9Ii2orYp4CQhBUV5HLHeklM2v9Mr1su0bdFfXw7c/PEVIjfv5KaHOGSo0EVExc57M59aCAC1snik6SOIVXJ/XGiN0jNxbrFIt2wAxULcbJs4R163rSH8DRM41SkLCJpm2vam5pMQCHkuIoOgUW6929qB+LmuilaMlrUyyIcl+p5IZEkL3thAzAhMl00FqBZbKfutDggKI5rIeCs2XSL8T1KII7h4blIYnlpSJAmK9Hr17AQBKfez5qgjCAIQx9DnkgaI0pQwGVpKxFitdt+uVY99LVK+o8DRQKpALmQvlYbTzRDr903WtdHHnvl89j3Ymz9mMYYwSmU5szdM9P6rtJZYA6jKhXE7A5YhSL/165s9usDsL4vMEfLJDOfBsHB/5HLu+XGCmdcBy2xjoDabtD8oEJjcMQ0GMDfnmghAajueRvXcFCLFiCRl1F1Gs16Y0C3aFuvJOoewBaEV6nq6S7bBUrK3u+Gp7tshqQ+znmSf26bSyaFoKwD5DY0A95P582w4ApFPfpZoOMaBXH8tuZQqNT21di4CZCyWEicG8poDlzvxNzhXpbMaRr0Z02Rh4vQDW9VIIJm0BbYCBdZwV4zsYc+t6nOI54DzRoAxjpSxsTkwum71dsG0yscJVXbdu5lzpgk6R7vOIdQOuj4aetMapIh1tP7BWQnXPFi0dbDE9ss97DfSc6a0kj1yHkMA4+E1BGCvaiZ4K/EWP4xgzi0km4qQYH/lcl9uIFgUZbIeJ8wXhwwVYzus8vxPkaGuht6oxz5vJKmcv10zLl58y+S73NAzSKQCnDJnZKlEjsHy2IN4UlGZ7tgJoZJY8/0wQakSLrECOH4D9u4ZlH3D5lDFk2XOdP/9swPzwM7TECvD4YU2+eGYnnnuJZ/nuq4D6uO/JlUbg5ecsDkwPgnROZFvNys97Fegz84qA6+FLwfiuoQ6yyiAjAFHEU0BrA9JTwPDEsT/+iIfY4StWc12OFS+8pziR2RXdTT9HhEWx/4p72fQQMN/tkI9kRZH9x4T49q8nhKngm39yi+dfsmp695d8RsshMIcarSvKSMfolhXlZcQk2lsfxTMr2h2Mj8D0ioZUKwIC+GGuYwMCcPMXGQ9/ye/7Wg8FwIXxRzOaNduEAbd/xbxpuQFOX1B+kY7cg2//WAxwTJheh95dg3OKGtt6XyH7gtOvFOefBsSj4vAlf9bbzJZbehfkJ3PNbqzst5lxwvxKesF0c2d/6+vvnOT+i3/xL/DP//k//5t/wJKTZGLgbYXIkVetiho3qP+gwNAQdxXjbv5BaaC/zgrUUzSdpidYmwBsqUSF6nrodnTfTVb618XoIhV6PkPGEXqz5yZ/ntbrbwyy9cKvCQAsAdgN0Gh9MWeaNbWRxklQRTLKbjRXRBWBRAsImtLi/8CKsaOYvU1RtEQiBYQcWa0tlddhcKRUXQ2IgDVhsL/XKmUzzSDW1j+NyRkXiKKaAD1OFsQPQL2pkNiAJbOa4bNJsPbYsyp9AIikbgop6gnVQrrdVb9QS8pVBqi51TJgtQBJpfcfDVGgk43PGNFAjYAoDxJvZRMWYfV/9jUtaJvEURrgTsw9b/UNwRPdwI36d7/+l/jtb//P35+AQVYYqTWCK5bMkF2wovD+WdWc/uqexgyyrxj3C0TYCiaEhsOwIAUaCcXQ8C2Al+cMTRHePkmD9vXUHU4rzb061divscES9spEsK8BS3QdlPJqiiU0pCtbcNiD1jUZZXWyQUMi1bRpp1gK0I2IrirDPTlQ67mrvL4fqrr5Nfp1A/zZbUQn6zpRAFJWgI301cj8fYidNg84Wm1GR+ogh1O3sFZvO83WxtySmm3ll14CRK7jxPYdvg+1FBCQeY0Xgm29xy9nL7pGtFfNLMny56v83CvE36spxTU8sESaa9FbHXhVq1f9fVvw4CuF/p/ffPN/w68f/+/fm+bdxMm10f3rNt8X18xHFGuTUm6MieOfc6jIh03ivKm0xFQRY8OlCqnnjedBMKf9q/kjIAIctFdQZFYybnzeNBDciwESKrxFkuKjOda4dtSc6FVAmn82hoxfqmvpLcnl79peV9vaR1pAWUW0Z+XBsQLeOxxL4fMdrvfn3hum8me7PKBhPb+A7gPgTCSNkSBNUUQ02jU0zuuw40Pv1U2bN12zq84K2IytzV3YWQpD7AnYeWBvlWMVo6YGQ/o3vXN1c2+wfbbJGl34NSwV4XSBjhlyP3BdhDXJDQs2aw6oBWSJJHv2DT14crfrOLM3MaeZXCVIaA2/+eN/i998/d/i49dySNhdFJhJh/e+m+5fAVFWgCzBppEXWTiyqwiJPatjagjB/i2KV4czxligKnhpBBtyrmgtdBMZT7BY4TKAwkwKeW+c7MH2kG5UZrjRKjMR62/MdofbMygURTzyYbvZlxtndsM4weqKD3RQ2vWwLQlaQDcVdJlVT/4MOG5RkC3ho3yBZ2k+FYS5oo6RZmAb7bC7LieLG9U+++Nl6y3/8nG9VtejsoAClBL5mHLjvh0jXG7Sq+l23tcdOF72HGhSpXATPGmkbMdZ1z10W5lt5t/iBpUxWhwTrAom8M4hnYAh6E73gPl4KO8HIydsiIqmYkaD4Nlk+/vWQ8RbUUEoHWuZMdLvfvMv8e//4v/0vXneRi7FIGuMpkF7sWJ4UnPO5/lRB2B+cKNGznO9RIQL6aTDoxl6fQakXND2gobEOOxCEG954HPOL6RFp6MiHe3cED4bzwHmLFhumRiOj84c4pikU0B+to4Y5io+PAN6RK8u1j0wu7t2tdZNH/j86kCzWpqpNrJYvo6UfnmRaS3aci6czUT2wrNteSAra3imZMzdxePCe0qXivSysB3pkMzkVjE+M5GeHrxllfUIrgQq8rFh+O030Jcj0j/6T7rD9eEbFneWW5qfnT4P1opJ0UYlOG9UYHd2D4Umdn09WuKuY4M7MPsCl6i4uZ0QQ8Py29fIL5XGvwfuDa7flqqsg1iRQCqTegB4/FXAcqs0AJwJMo7vJkhpGF7fWjFNu7SgJXbKqfdAzA3D7YQxF7z/8h75N4n6XvA5zA+C5baxFa0AaPTEkEijrsXM16CAbmpQf9vr75zk/rN/9s/wT//pP+3/f3p6ws9+9rO+4cJpMXbQx4kTL1gSpSGYlsk2etMJSW4IkYGPAN01tCnpHTlWxKAQURyboJ4j9EPe0PIswdhlSG1dS+mibk2BVc6NWZPMjQFcU9Ctal1YbEshrGLZASIzk8urSq7/TmU4lY4V8dKoP5mNnrA5eBACImrXrg6PrBKH08KKjzWBl9qQXiq2mjMIA0JpDTgvuNI9WSVuS+PrWhGL0sLcEM8VYQkQ05NB143C9QBSBHoRxEu+QktbBC5vrhFkzbI5FLnApgfT+TwVGmKkgJoDK37HGVsTLX+FpXX9VN0lSzICXZ8NtVYLIAMALaTzJnM1LgtYDXCKcOJ1x5NThXmABTMFCEaJ6IGgGggRADTFL3/6X+PPDv9TyB+/Riln/DfP/wfYhIRHUFLXFipe5ShO2fTr6HQP9AQ3GuUnxoabcUYMDTk0REtyAxQ344zpPmNJGfXdYEYHtoaSsCokQq2e0XsdUd7O466T839v2/E4xdkMpa7o+/69TTV1NcsRaxlC6r6UhpYj2hgBwZX+1p/tVesRX3NXYBNBgysqcrA1+3d5fTSf3BU2Tg2SeHBrpOOlNDF3biaxLa/BtScA7vTKyEQ6LW/bOzNU0CBsHxGSIJ2o0e+Jv61HCcHuu1xVz71tlgMSPXAFk8iggf0gO+VnTVpCAMIkVzCmKDpVOR0ZRKWzsieht3/Zwp4p4M8++6/wq4d/An05oeiM/+b9/47fK5UnSkorGGEJXderMi7k4RSAcBE+2kMDckMYancLjbHZRzb+3/by1gIuuwwV6pM86GRAgCtpQX/5vEnRGAtMAsLJxnlD/+z9gH+Amu3Mka5zDejPRZQGLr6HunstJSo/cD0qnaoWKnXPaKQsypCvJRm+Zy+1U2c12xnj95viep/+Gc1QOvs/51RADEoKcQ3IZ0EtguExIEyytu+wZ8Xf3Vz61XUZ4g6YAYusAEuzSpdTsA2QFNENe2fdIzp1PIDAhlcRje3Q7vbsZjDGXr3s1xR4LZ0eX9EBTA1cv51aaFuU92Dd3kuvEi4Nf/b5f4Vf3f4XwOMzSpv6PE+XSsDTQINkOtRyEJTt2WAJLgCEcyCYc7tgt58xpIoxl6t9/C5PSKECt8D9bsKlJLxcqLGtI9vIhUlIcVR0dlU6ebzUOnhaHty9Cl0GAWOXeDLl0iUHa/085udxXy77SO3fpMYkCz3Ib2Yel48N6WKJanYwTRGwgtxdugIxhg5/N6hajFHYHs+ZFzP3wjBXtmRVOzN1bYuEujGUMwZFN+RRKxRI6EtvawAFUAM4Pw6WyHI9srfpKt3QwLGXwHmuFrQ7NbJFUvXTTICj75mF1WkfSxWCOzikdd4pwa9QG2pwNo71AO/zk+1b8km7Pw1gUhoI4mNEnegK3RKTh3QMK0VbLWYxuma5MR2meAyi+MUv/mv82ev/EunbZ5Rywf/ld/9bjtcMHB4bq7+aMb0VhMl62Rob0tddT/YWXlcTxirD2zPiZw2XS8bx3QiNilefvuDNzYk/L4qvn2/x9OWdJbs8O5c7xXLHsxV/4D2EiYCmV8rTmZXNlS3IKmYd+Jy8hQ/3Bzc3hNFZHcCmDnt8Rw8KJutkGS33zg7hz2kwd/TkwDHPTAh12+XABL2OnE77r/iMWwbOn3nVkT9zeRMR54DD0pCWiuntDpe3ievKmIzDk833RVc/iwDMdwEf/uc/hQbg+GOBpoblDnj+aeoUcgCIZ8WggrI46Cp9Ti9vCsKhoHwzwn01tgZnMgt0r4hjRZ0D5CmTGfjrHXQGbv+ofVy7zhsAGlAP0sfAQXWneccJGN8RfCh7oxFbDFb29KBxZ26N/nsCOUeUJigYcFIgvkR2F9mtYEM5kHGw3Csef0UTs/E9u3WMH9jVJBjo//feJ3ccR4zj+MPf3BwyrlH0Pmi+yOsQ2DLQUdEMYGhIuSLnihQaYmA1CwAWs/vf54KbPOOQF+xywePLDggZ7qLKgRSUfYS0iCimnWXGTMrXNskFSGFevNJiG6zRiklfCzyQx4QgApnYmkX3A9+jkorY6cKtIX+48JDxivKY0SQBOaDtoiFA7MUaLwXhOJGG7FTodABSglwK5MKWAT0h2ZEKLVOhYcYmYMZSoKVQK+V9UoGrICnMFck0J2GJhiLbQWdIactAGIz+YKx0bwauCZjeEmlKR9ugbFK6QVjNwHLPnm7pFIBLRdsFtDEgKZA8yQmhV1M6uv90BnJC3SUeIkNECJYMOI3ZaK8tiul/lc51h8CAbnQDAe1udt5jDI0JbjqvAZ98vD4swI0akJCgNUC3fvJeYjDX5V7ZskpGDw62SW4G2qhXFVyAwM3DeOlzffu6GyfIK8Vj3qPsMuIsHfknDTpwusJ6KJ9oXCYGCslWd6bUmkv6gWXu88UqRD1Q/Shp7AlurUATUuaqIEyF0oCbEfXAUkt6mb+XCHXzn3m5ph7LGpx2yrRHLylCx3ydAPuvtfX3+yW6+Y1T3UtDvDDJDVZdHkNAOpMmRenE6tju2rNmjr+SmewyKVjRd9eNxIkb7dKsxdNkQI0H+gDcNVSWwvZfQ4buR85prwooQQoNYOKgYg66ijAEehIkp2KuKGsUkImxSV6Y6BoyPxFp9oDX+5z268oRctgjIADnep28lcrKYwxXCRJprZvKglKTpELkuyrQ7hvyYUGIa3VrlwtyrDjkBTlUNNc6qWA6ZKhEkxGIodDM/sP8EQDlAb6Nn6iYCRxZLuLu8zkZkLIBeMJ18nrVMsmrYmKPuoHmKv4jg1drhX2qbT9S04+yiq5r27TZzxXraRrQ52/Xq8+G/O8G6Dh0GjYAdBMtv/y+Bk3OooAs3NPVK9im9wqJgXNLQNkHzHeO9PPzy2E1qurmg8wLup5aRhqJ9V6oRXpPVE90Fdrvve8Ptk4VsUtFtIM6fA51lwA3ZtyvLVn8OW8DbV73Zl5iM/eAlYUTtOuKO3A7EMyOWhBahuQ9kAtNoewVT4WSAGEbwPzC6haNeFh9ipMnuT7fQefb2HC3n3AzzD2pHUJFEEUOFQGKz3YvCFD89ekV/uIyAipog6IcgHQR1Bk9IYtVkY8FsrR+ntRDwvxqWBNfhXUB0JV9JOu4sTrrWt5qY8xe0csNnV6z2BnqVOxohkgB2E2K4cOCso+og1Pn0QEyH98OajiAviggLGrEI40j48X2Y5vT0TxJelIOIJS6ykGCr0Grag9M3KUowmRJ8F76HicBfb3Gi7UQDOi+LmGS3kkhVEvke8VO0RrbIqaTzSU7/tJEiZmPa1gajbywJt8tS+9FTLmUYv/NQnDLmR0NvdsG55NgeKJUbXqVMAVuoGE2evj7YDI+UkxTAfIzx7p6e62K7i8x34Y1jrGAP7WIpBkRGdsSV5wUt7+fMPzVdyi7H+HlFzT7yz6/fd+zP4z/HJEAUq74+Zv3+M9f/x5fT3f47998CgHwZw/f4s1wwi933+Jn+R3+5eM/wv/x9I9QLgmtJISiKLcV4VAwn/Z2rdaBITJBAkhFPXxT0BLN52oWTK8F5YbPJz9rB4W7PjNa27mzIrtksYJjPHOMl5uAchAsD4X38Rh794ey97nLc333rkKa4klTjyvqjtd2+9cV0oDHfxAxvVaM7wX5G86Zy5uAUBTj+4h4FlzeJDz9IvTEOU6Km3cN6VRRbiIpyBYbLgfB438E1Lvaz6rlvuElspq//5puwunsJpQOYhl9NwPyZxP+85/8Hv8q/wTTdHO1n3MOBpRDxTAuOM8jhkeadX3yr2eMX59R7wcsN4kV8dHieWND1pGtpBzgpwyQzy1eKGkoe1ZWQ3GJJc+Y5dYnJ38vGEsgvwj0zLGKF0vUb+25DuZKPZIVtowNyxuFXALCEjE8KvbvKoanhYWAqaAsq3z2b3v96cZT/vqYa2yLxjdTRzfcopp0DNAZuQaUyJN9TKxq7fOCIIokREgzKsZUMAwVy0gL8zpI76XmVSFH4N28oBtPNSW90ROn7UuV9DzTZa0UTQ9CZf09f0+jImpMPMyTH9pGg+wUIx4s6tQZgMj2mNdqA7BWTQJokBWxggfMahh4auyBGw0m4lqJ8/tyTXFMa/DvVQevPhpDlf2uLCixDfpqA2VuA4keuKzPlYcrUEaBG0RphPWUy3AUEgK0XUI3yQDgrZ061U2ViVO1ilFTiAdTANQOyQSYPbsd9IaSAUYbLbImJJaXBjsgumGGIfVeydMUrO8x7PlFyDgwOTtu5gjAE7Yq552u10dNj/TDqHm1uABtDlhiQkwVw1CQYsM+LRhiseCooWlAU8FLGfEyDxBRdHO1iPV+/dlv1912vlqAjRCAZVl/xlplkfoIq6rKWln1n7Nn0+ei/a2I/f/+zDTaXFQG/2pr2CUE/X231eOP9wm/XjXIcPt91euk/ePf2xjKbV+hNOjMHqEVoWtbVYAQGeA4zdS1Tw7crLoq+9sDAPt3CDBjnM2lRKE7r9NUPbHfJu3B1iFgukzp9yDBgqNgSbpVl+C0w4W/xb6bG02lX5sdRN1V1KeGVX+9CsT5AWxpyFfgAsD9L0WrEJlxhIFMUJ8Ta4J9VSWsdLp3IxhVweLAznjBIc2dqXMpGR9SQ7HAkOcDzwYUWfcAf/4b997eVihFAyXXXuF97/N1EsJaOfdKVDcVCVdzWvv9oY+JuAGOoldufL57b94+1+1vapmNR1Nhm4Gs7+vVaJH1DHBjGy9x9MkcgCFv1iZ6UtzbV3UzIbGEVizx3jwbWQPlrRmZB/8to9PSpHH/1NmOnigQ08h2amsx0CEFICgBgGp08cnGMccuBTC9kF0LHb8RPMnxgec5wkQOtr9vno/th+5oSmduMhb6Gvh477Lxlt145Tq7fUmxdj4qaHFtkwNsxmLzSGoNmJZE2Ykoxs0+fhNnpFCRhX/uhxGHcYYqcDpkAKFXc3vf1o2nQJdeDbGv7VBXkMpdv/25CrQztni91L02ACEHqlQWo+N2Y7V1vnviRD+CaLRnbJhBWCVhvm20te2RRspUWmKlnrRoZo1hNiry5v3CUtdqbQzwllsdONHttfFeNLFLRTPduIa+JXNPdAO8g21RBlpSV2z7euN90jzM2jzt6c+QzgAg1os1XBVPvDDiJpthUYixFDWGDf3/o3O5Pw9+nntWQNCdaP0ccew8WXU3TqtzOMcY6+dY4r4yKwBYRV1zhI4DNK77++69Ak3Qbg+kkD962y5jwt2yQDA/KOZXjXvIxeaYEBB4nHb4d8+f4nHe4/3LASKKP+YHXGrGGAp2suDDskedI2CyGSggJaBdOCfm+9hb70hjRTddeA/zHee62DMfP1i/VGPMtbgCM1KB0Aiwbp3ByeDgfl9HSorqgH4fboioifpTbzNYM3B+a884SW8RVHc2h9yMrG3mlPVt1gTUIDh9nrHcJyyHbTshXvtywyJM2fn88viJySIQ+3iRin5twtTjD13ng4M2yznjt49vUKbEuoQANfu5Bf5yCZguGZhD9xdY7iKk7lD3EXWUTqOnHHGduw4yuhlVMbDPq6ktgVrhheyCMAnSSbH7juNfDmt8DPDeeANr/tAZuWrngAhqANkiQg8QBy/LPgDICHNDCoKWPqZW/fDrT09yjYKqKa56MawHYhuY/JWRZeneRiUrUARNIxYFWhPsdgv2ecFNmvHTwwfcpAnfTrd4P+8xhIp9YtD+h9e30BgsqeBBHyfS4Lz644GQXBbqbL06FWStKFlyqwDkIkwidyOdCcsasHoQLVOBhHVg225AeRjXA8EmI0D0NSwVLO8THfSDqo2xV7/CXHmILESTNFNH2fU2ANuueD9N+1oPTjeW/P3ezcxEx7TSmBtX15YOGcCmz3qRLi7vaLqgm3s47Q1Adyn013LD6kAPqIPi+EUEELH/rmH3rqBFwfJqB6mKdFyoZ1FwfFvjPdSG+IHQqu4yq01L7ZREf+kuQyONS+ZXiRv3kUFRft5cv72Gx3XzdKMy12ssBxoWhCV1lFxUobuEcH8HqRl47x+s1pswQJaC4cNs7Zzs8Jv8QA/WeJwaFqmAPiW0SwRez9jfnnE3Tng7HnGTJvxs9w6HMGNqGZeW8ZfnT/D18ZZJQlZuQjtBtX6GbAESIKg90FeAc3ohLVbHvAbQ89LXp9TGSp0lUqgbAGebXHaqJ+9X04YFYc9Mc4QObOfi/Zh9POJ5gUwu7rBkzvr7emLRtcBqboBq1Puthrg13pPPc6Bfq1QmiKS2U0LQ6XTTwrZhKUBuB2s5Q6ZCmgTtSLBtOayV9w5wbKrw2ntbG4Cx2CFkLohO169jgMaRm6+39Jon6uiHDD3kntCSOWIu77VBlsLnF8U0mgzkYg4QjWiL9KpAPjMAXfahJyVkZZB21QPECGBGD6ClcG7GI3UzW1BEt1VPgEHSbujJYbA+3nHiz7QhmMRh3eu6JnUOaEisPqeGEhWlBIxjwf2rC77YPTEoCgt2ccHTZcRLGFHHBClmSDIGtvAy2i8/FB1YlMXmuQh0P9ozszm1+R6GzLU5kFooS0OYC67MzQ4jVBz8UcNrOM+8YhVK60miU9DC7EDG+nOdirlUuPERIkhjP0+2H1uy6m2wqs3v7cvb2HkVdJdRb0dAaXIota5Jvtga0QhpGapqQRbna1y8MsZrj5Oyegm/H6sURWC5NWMaAwDjhRUFqLGuIIizIJj8JB5nBu6HAZqErezMFCycT4wHbna93VN/jqpdlrNN/Osuoe6ZMNXBqhZtraL2JCUyQB0/KNLUOgW3SwUc0LD3larUfu8yWhuAv0a/f//8sFSMjxUtk5XgLI8WaRLlZjvlQH1eOyc8yx6nNOA573C7m3C4n7GXBV+Mj3iIZwRpiGgYQ0FpER/mPX5TA+ZLxtxGG08gv9S+5hEAuRSE49lkKQNCY0sklIZ6k6n5U0t6vdoftMdfYWlsmRRjr/qGmvrc5dw2QERXanPLgulNMs2uTcGyOTsN7FJhkpFOjMXqbmTHhZsIhBHeUQAN2H17gSyVHiNjRJgqTe+i4PKjW9R9QH6urKpLX2b9s+K5cM4v5uERXWoi8M4d7UidaN0B50+M4npmRWq+o6bS5UsIwPS6dQPIcb/g/Dhi/9sBcWabmbgozcxOijaYiZYDU6oYHieExxPS3Q7Lq926lqz9kf+/J/Xe8mm/7pvp3HiGGLAnhedO/KBWgd7Qd6d13nfztVNDWFghlNpQ96wsQzI03KAsK+j78K+/hf70U5x+eQ8o8Pq/597nwNblE8H0ScXbX77H//rn/xq/Pn2K/+tf/EO0KSKkhrIkfPX1A74sr4ElID1FaFD8+pMd0m7BN29v8e3dLX79+BZ4zKThm4dFfBYCcQCefsm/nQW0e6/Yvau4vI54/nlEWID9tw35pLj7qwvSy4zpswNOnyWUkRRYBPTWR/t3DftvZpR9wvkt2UA1M1me74XP/k6Bwc6tHc/QsjN6rbVlrDvB8afUIO//KBjfKy5vBctDszY/0vukx7NcS/dswn73E0HdKfZfCg5fWjujExPzl58ELAd0VCZOrE6LAjd/YJzYDUwFUOFZnk9Mktmv1tbjYsnewcbijwPef/UJ9dyjoo0N6YHM0PI4IFwC22qeR8TKBL8cFB/+QURYYgeDHEhTEZRbxhVhAfKLeW4c2AWnvC1AVOjvBkgl42e+b2hJcPw8IR8Vt38oSL8uePrFDs8/X+MracD4ntX3+ZVgfjCW0HnNHaBOdTag4Bz6HlRH4HQgCzSdFcNTQp1+GLT8+PX3V8n9+OWIqqGEAHoFTYrYbhagqmiWVBXvFQggSEOWijEW7GJB0YCLPW23ye7C8YDvvyxw6cmgU8JUrv+//fn2NwzaR2Y6neLsCOU2sfKKpwobs/s5LgLBisa6xk0bK4PilVn72Y4Mbq8f0um33bF4WyHY3ocY+hRIzxOvltn9O8JIUELRUoBYU3BhTtDR2lalBxl9rFdQhpsv5z8Usjp3yjoPrlF5hXqVrmG9V0/0W+bXG/q9u+60mx25ZlFs8YfNfPPnous9rIg0OkIIlZXeYdfVKxQxQK8EY22dCx5klAZ3XXatkDuJh8S/AUMHAbQiKDWgtvV9s1TchAkRnO/7OFPvZuij2/qvZkLrPNrqaNc5INdf/xhdvipBeliB9SD/+KVrMHX1ZUGvzHbjHK+E/tD79OsBA3gP5rc/uwVsfIy3AA7A9eWJsxvK2Txf1zWTItdyQ6zyUOxnm0KSoC3UkmpaD99+f3Ez/tGWveIqKd5Sva7MnkRw5eQegiVpvoh0paFuEgD+bZVcN+zaPIIw81pichRfOn12m+QC2DAWbP34m/hn+riH7aK+fh5sTaOddeHPQYJfnxtMGFg000Ve1XRzqkBsUKXmLUvFIczYhQX7uGBIFSk1TMH2dJH1Bj6edz80D71Ku9GXeisQ/WgOyvfm/ebv7Wv7GR/P4yAEBQLgem2+z+b93a0j/MDvb97XQY7+LDZrmJWtNQnsHgqyMQHcXq+dB1KxVqadURLBZwPlPu7j7EMR1j9OjUcVL6z2PQeyUkvpv6dkggT7/tYTYPtno61e29jYPu6/06hnbkUQPJltMAdavz+urWhMJO6z2quc7m7N6wzrtZgTuwYyDNYbX5+pz+8AnlOq2nt/E0CiPtEYnEAR1Cn26TOniNICGsTm+IQsBYNUXDTjLl8wt7i66Ps6VazAqlOQt0uxbSohwc8vW8tbzbqBYz6WHIe2nnlFEWxdrPPM7sV/zbS5W1dtB+37ntbPHXxvfXlip5szyv/tzvFXZqSeJNja2Zqv8frBOVKsp3VlnBgqn4+37wICjw2jwDaslVzOb5un/tHWmz6khpwLpjSsEiNXOjgNPnnM4oyWbRyIlTq+Zdz1e7IYyvxK3LyL98LxCmaoI7q69l63Ydz8f6DjvNh4EWA1ervPE/+zfaWImllN9Cowjae8ZQzHOoaGQ5iRNhuMqj3HJsASrNsGx7pWgbaA85Lx3XSDuURobr1dD8FAoZ4+av/8XgzZnCnVpEFrdU/ZQ35prDpby57Orgrro1jNz1ZQphvbJp9oYFFN0Hu0u/qsJaAeaAyqMWxiRF5THXz/w/Xe63FmRB/DPm5BrPqM3npnmxS7qe0VoKHre25jbZXN9+J635Qx2D24rkiB3m5OP7petX3butpIJWU4XmzMDOD3++g0Zb3+TGfieDeKPp4RHRzzNdwBVazvBfA+6gBEbOKQzfh5juiacT/7fLxrZqW4yWaz/Ftefz9JbjE9UmMQFhb2qxIF5swLyaeGuHBhje+BlgPme6CNirqLqLuI803Eu3HGOWcUDTikGb+6+Q7/+Ob3+LenL/D/+PoXeDrtEM6BVCxFp0A4mt5bnpj7HT/cNSb21E3LpfZ/EQHGwegzDViUFcPRKzB8On5Ie1sQDUKnPVl1R+UQrdohiPZg2shgLJ2AaFXkTtuYaz/wNZkDIRopsUc6KHu7GJFs1BtrIePVL0vKelA9mgvzNAMTIN4KZkikSjcgmdbE6dRoQzcC6dScskEUzdypjZzYdcdFHGYiXVK4aEIlkhoWmgDEiyGHkYGNTIu5J2/o3ZmnDBMWNdEhSAFH5iHQxy0AISBMBcN70uXcWbKOslLqLIH3jdS/Hi90xNOLUH9jVSqpDfFlgpznTlOX+lELoRghKfWxlqaIL3wOLUerPiTTs3FTd71hHQWLDHi/BLzc7KjLHc54nVm9vgsXvIonvMs3eBgvUBWcbvdYJFHkb5VobtQCHSNQDSBxAMD7515muHmaDO72O18H1B8F1ld0d/96tRZasVHHKGLVWuvVbNfSBkNpZRNUbfeHqhxLT6p7AGwoxWDglWoHY2S2NkgxoFOq7f8d7DDGgqRI13PXdoVg1DnT56saEGNUvBRIvwxGW1Nzw/QCth0Eaj1dISAIZTRGNYfSlpg4hFkRZ2shYM9ADyPczV1D6E66aDzA+1o1KmrfqyyJCtYqqldBCue0NtDJNK5B6UoPR3dmFUtoWdVrVtGKpN5eFsiyXLdr8mleCqSR5xpEELNHFpwbofC5qfAAqqNX3ATlmRXmcqMoh4B2aJD90o3VmjIJuI0XvMpnvNqdsdSASwdBr3urX/cT5r6HEKAH84ZwsM9pqEuh3jUn6J6/K5dCh/eeYNlcd08DAG6UJArES2EQt09XEoGVti79jAmLtz9pkJkmbHWf+V6zrx2BbNk32/W1cE5oirwnVWrsta1JiwWxAL6XqKv7TERWqmOTtbpnjq8hKHtYRnfexRXYyr95Drddg1iLGzcBA8QACDPtCRFJgHi0vcba5XXDtRyh8dCv0R1ot+3tPn5pDJClIRcGTLXGTstfpRroQTqNfey8D9x/wkwdvk0LPnur7DM2aQh1zSDS4xkYDmb4GHpS0mVVRoGVSufSOphmNAHQiJYi6k3Acgg4Ang8UHeYbyvu4hlfpEd8Gk54E1/wUneYW8L5eUR4n7H/mpq7bGZTdGw3ymbZIeaIlmM38lvu2ZYxPc9IH5aVfh8C2o77XHqeuQ84W0Ei2i7CHfRDVVQEUjptra0Ahs1JD6wDAOX+xgfE5CoJaaItCconY9+DWHmhLn0L+GgKqHcj6j6h7CNCtnOzNgzvJwzfMbHoMZsCCosZYLFRtfjI6fgz3zudKxkV9wnLIdrZzqXcDSY3bdXqaPt4FWAOqHXA8ylBLpGMnbTGPi1pj4XaLYsR6cIxnN6MiLcZLYdOP/ZXWKy38XY/njkmeYxmQGpJsZKWC9CvRhMw3UXMdwTMPcAfTlxf8y0rglcyq2gMpUul6dd5QXg8Qjatsn73v3qLw3lAOqH3N22ZWkoNrnuN+O75U/xvvvxfAlPA8C035PmLgnA7I90UhDvF5TSgzgQFDq/OeH1zxvNlxL95/hy3hwv+i//0L9E04KvTLaYl4fHpgPaSaYpo7W6CtaUsezHmBjoNeL6zVkvDHnEm8294qshHQT6S4XH8SWD7oxzR8ojlRnD6gufy/V82DM8Np88Tps8qvHuCREV6dYEIMLc9pEX6bmSaU+lNQRwryj6h7AT5he182iA4/YhJejwzic7PivFJMd8JXn7OPent/1uw/7bi+KOA0+cOqERIBXbfKm7+yKSwGUOs7M1/wyq4/kw8XlURLLd8xvmF7sXLnWB6w8R49zV/9vwFGTjpKBi+Dai7gFkFKor8RPpwuW3U/TaBTDzkdN+AqBj/OiM/Cx2qP2Fldfcd14+DXpQ7kUK/+4ts8Q+T1DZYjCTo9OrHXyaegXAZAHqSPt8D+lowfdKAtxPKMQNg5l73ipbU5odVko9qOR7HNJ3Jnqo74Py5oMwfAW1/w+vvJ8m9qjby5RowUd5wXHgwqQmrW+IhXaujXwElKebCS0phxFIj8m3Fz/J3+H18jWlJmOfEdhl1PaCvHCQNOdxWZtXaHWyDay3bBIZ0TsTAwM8C+pasobSJRHh70oN87+naK7uiALiZBUtwupGCALruPfCqj1ds1K8Tm4Cm8HDuDro+vqZtldqs1Ydp/TzRNSMhN9dSqyz1FkpgcEI0qDKh3iWEYvbuke9H6gknPzXBTHBbBNsp5IZmwWKwigHAPpLukNrbAgR/r8YxDgpRo8KmwEXoh7cnAAI2jFfA3eMQ1ypIvKgBA9GSWLpI+rxwxN+NVRBMi7E0BAW1Y2CgKdWo7S+nNQD+qNKzrc7xQ9CNZoIqvB1MM2OcfIqog/b2EPEs0JCwBOC0ZERpONUBt/GCKA27sOAQJxzSjEvKkKFRiywBa7siD0bsOYarC0SvXjRA94mJ7mVe265sTKiuXEk/DsCBlelglUcNAcjR5rutG9lUdzx/TYLWolUPN4qxj4L0HuD7nHS351K7+yzMPRRObd+81Mx4pNiBZparIkJE2cAvKaw+8r+ChgaRYNWbTYK7xnRrL0zRfl9NOc9XXbr0CrAzACCcZ65LW8dyM65+byJrEr+lbwJG6beqaV4rU24AhAXrGlH7nl2HVxggIJV8azoFgklom/GUj66t1Z6gyMfXZevZ26OJkiZGV1DA285oAh3YRa8M1qIxdLJU7GLBkLgXQFZH36u5+FHFiAiyzy173+bsjnZ9DolAWl2TeX/9QIW1j2Oh1lUNdNyi2z5Pe+HbjMK2FOC6Z8CdAGBGnwtStffwvf5gA0I80P943/noXO1f81fw+9Q+f6EKic4uYRXXtU/bSs96ZjKQQ1RWcT3ZiYAasObznW1wbE06U2B7TSJsqQKs9+tO+cYauh73TdLVmiXm6/mOwCTA21I4CNI14kCf62uF3sbAdeh2vnb2CACZF0hWtGDa18ZITP3e+/nsibmiFuExeCZTR1Ngi7gh4FIS9ra3DlLxKlzwRQROesRtvGAIBZgi0lmQjorhpXUJwKpRBenIBsSIdygYrCXP+wY5XWxPDNzbM8tETu/3hFBFOkiTCkFzbKRG7ldxVYHa/jusz8ZfcV6fsdNvQ7HKZFv3niv2ViQI4ZXxuo8Exp8myDRDb3aobhxoc9Kf2ZUbP/yZ2rSYm3l4pPUsNOwwFLseC9D9mXY5WbU1u/Ba+jPv+7pX4FyKRTdsVaDuQm8dduVQDnRmgSf6Uigx4HUnBAOIm/VwjxeeyXFky8jl4OPkXjOU4YWlIQ4BZeT194q5GRGFhTIBOU3QlyO0roY8559WpK8JDtQRvTfs8sAx3X0tdDeuguUyQIrrnIG5clPMuWKXC0oJqGmARsXNbsab/QmP5x3m4wAcLvgnr36HAMV/N3yOp3mPX9eIYwnQJQASoDbuqmufYmxi9zoKJANTJEAxPDekY2XctlC29RwDykGx3FAOttzSxdk1zOlcoSFB917K50Pf7diq8f2wY8cNm29tUIRMk0S1Fl/xqNh9UEz3wPGnBEh2i0BmOjqPjxUtpR433Pxxxv7ffY35/icoN+hVzTgBt79X7N7XXjlfDoE/Y/NSAJNoMEkMYExRDvx+OqLr5uuei9ZBHBWwTdAxdlPVcgpAUGr+Z/uMoZFVWglYppsFeSgoQ0aoihLoKu1GXPmkpiFWamWFucD4nj4I02sDByyuB9CNxOYHwfxKkZ8Ew5PnN7zHdk/qc7upuLmZcVLrl600KUNW4Dkyv9OVxdCsv7MU6rjrjlTpkq7Pkr/p9ScnuVoqFGxwJ65fgh2EAuTHGfkR1KGODB68gf1yMcdfK+nHc8DxaYdLbsiRhlN/vDzg/yW/xFfTPbL1WIQ7nC7o1I+yD4akVSYc/QK1B2pq7sPi+r3LBD2fiTQD3CHdoVjVNLW60sHs/23MVvXdbOpW6ekvSwLWAIHibNcot8QeenWfumZONsGvCow2HCAD9Vad9gisrYz8ev3gs2vnM4g9EQEYdKTnyRJguzfT/4a5Ip3jhoppToLZAtbkKBTRGwA0iClm11/WQ8Xvvw6CckeXXFEGcPV2hNTMuVJtbKd6XaVojcGWPxPVrt/shl4eAJs5jTRBNtpXf/TB3VrRk4M4VcTjYoevjd32IN2aGG2uSecZigsgrBwGq5b3+bFUAHVtgbmwek8Kh9GFLPgvY8BpGhBF8VR2GENBhKJqwKmuDuZaBbJcB9Zhrh0s6LpmC9667jZs7scC/05Z92pniut8caq8BdRbF+TufJlCnyudomUBTB05z5s5fpbDYHQlRTpTcxad4uru417FjGGlmxpv7Gpe+2tYx9vXiQwDkwif+2nV5obThG48FAXBEl/NsknS14Cm2fxujlBGJVoTN1rNtjqw1sGoPg2Iwyo/wKZ38JWsQG2PcJZA86rvZj7b9QIMwtEa4pIJSKUAGc3oy5Msd7sVXFUXu4mRBfoOlslcyLrxteQGeh+BB/16wEOKCeAGAWiCAN5DQUTc2fo24544spG8hoD5nNGa4KvzHcqGFv1SR8wtotTY6c4wimOfbz5GAgRNQGhrZbUCoZsKtg6YYDdcJcc6JPoY+Nyu+n0dbO9RzgSNhjKKoM0c020ssOrryMQhmMr+oatBDYCuAVarykk0doPpVmloFaCHHee7j69p7Pt8EEE8sXqnIgSZmnDvtKC5G4RhBcEg6P1nnWYWFq5DovBmDnKj5rQskCWs++7m9zzhc0CnJUHd555Yd0d1d4buJndcA2Re+5kU1nsDEOay9i+2irQj/6EEY0u19V4AC4DatS61aZ8z/dwGqH02nwppayVXB7K0wrSg7RLZVpaIU1PXyFQw0xhpgtFotJ4QnUvAlBQ1sE1QFMVXyz3GsCCg4aKP+M38Gf7i9Dn+eH4AckPZByy3AdMlIJ/MKKyRCUKdpKDlvDp2zxWDOXejtL5n+n7sc9dbtOmYeT8OmlRlT+Ng2tSpWfxhybuP0yEA1nItnzkn5jvrgXskK0uDYH6V1rk0r0BDcPfzJCg7hpU0vNJVZx0cEApoh4xgeu34MkFjRNulHntIsLUbAtqOlVNRIL+wVVvZRyz3O9Qh9J71vf2b2hypjBHrAJQHA9OCTaBC+m1/BTq9lgaMKkgT7y1a7+R0bgiLbqRN6P3MndEB8AyM5spMfwQ793MkA0vc/HMDBgTGg3TOpQPx8NyuTMni3DC88F7zsa4Mtcw2jWgJUQTxMl/RRHd/YFtHuucK0oVbZp2YXTpldWhKDb7wLBQB8oeIMh2w5IaXpCxEBIUODQ+7Cz7fPWN+iHg3LMix4l9+/edI0nA3XJBCRWsCXQLSdwm3f81K5vywJoHLgeM3fOC5Or3mHBnf05Rtegi4vB46Jdkp3btveCZMbxh33vyOY1f2wMuPB6QzsP/1gDYqyg2ve/nNDqUAe27knb0CAfD1iCLAcPJrlH4t6UQTrHjhZy8HwfNPEp21Z7ILTp9naPwc0hT3vxaUG8HlLaxdqIFt1vpSA1B2/NtZUGGxdnwOGm76QV8+Ecyv+P+b30VALQGOlvTmhuUNUA8BdPrnZj2/rqRo7yryWFBjQCsOpBL8lAKa900G3FXBcmA8lM7A+KgoB8H8lsxLKWTQivL7oQrSKZlLN/eMaB4GwxM11nWUVSs/8/rSJWP+9h7Dwp8VBfIT137dqVHEuQ+rCNR0wvtvFIevZ4SSUcfY+wT/h15/eiW3eOsMT9T45ZYDwcZvjpDjGe3hBvJ63w/hOgTEaW2Q3puLP2WUoWG6Sdilgq8ud3guI05lwC4VHFM1MxZOIHeWKzv2DcyAoYDogY23rmGlLUCNehRKhS7WYsWrh9t2JPMmGGoAppntKlIAkNYkAzBqrb38IPRAWvwaxVbZiqTKPtIC/shKSH8FMJiJINocgK07MSlgWANeC+Y9qPVWIQhhDXKXCrlc+B7euuhmDxkykz+jR3ngPL3mYemahzYoe2EG5aRfAlEXowbR9Y+X4/S2+Y73FyeFRAWEwVE4FyKxpa1Bp5sLNUDMadd7WXZadgOR+AkbAAEAAElEQVQRaUO/GdTYM5htLOzgbkNES04HZSAezgXheIHuMgNGRxK9yp1iD5yvk9yCZjSgMGSEcTDqrG0cU+kV1KiKkOjS6El2vZAZUPeATAGXOSOEhueFSS4AVAhe6tgdaFECZNk4uwKdeuqf1ZOWEHpVtLe3anR5XWmado++FryK6lUZN3ny5CEGVrXimix2fZUlu2sAI53iQvoNbf7HJ65TDWzJkLySnyJ05LrrGrqEFcjowWu7WpdynldzoWwovq/rFFjlmxbIhWi25mTuxZHU0St98xq8u9lUHWlC4U3UQ24IQVEU0CZoCpRbIpr1yd0YveE7E71eSdowXLZ9X3uS6Zr7TULTnUlPBbhMwFIQ5sVa4wwrMAFwXS8VSKFThDzA74kUsEoFXs7cr2Nc9c+1XlW4eIGbw6MpBBttoK1tmZn8JwDlwM1OmhIvGdBZLOWUsDTBu9MeTQVDKBhDwbGMmGpCNYrt2hrKkwjZABicDmJJDGB7oTFZeuV/3KPd0gzGq4htiJa0WlK0VMhW9+bvVRo0RJoUCbrLtVrvy37vAVisz6I7TccL5wATJJ6BlGZUaCa469pmVplYXdYxdUM3n+89eXH9ZGuUUARBuzGTwwoI2sqCURhrCmTbQDpI6VVPaeZCDD4bGkB6X0LTT03XieTH+j4VAFbNLTeJic65oFPAe3Bm4x24sYgqK8K2Z6yUTSBMFTLNpJi70eLioF1Ap4oDV9TW4GAZAAdrm9FhwzQDbuY0ZAJGy0QbUL+XIQGLzR9lsgSgu66O72bE44z57R7tk8xE6kWvqKgtJ5TbgBqAy5QRQ8O30y12VoI4tRF/MX2O3x7f4P1lD0kN7dBQbgNmqyDmo1iFwqjJNwl1F5BO1mpwaWyx19pqWOZGgM4kc4O+1tDudpgfBrgpns9ZhUlezK3YA4dgoELd0TgpFhoblT1jqjYA+cSAs4yCcstEa/eusvWgAZt+vtYYsNzyXM0vDWFudKEdLIFy+vCB5pLx+YLwfGY7rUzAprODhggM0VyfTRbyMkNqxfT6HpfXsTMERQUdm7W5632W66CI9wtiqjzSVbAcMzDHnhBrUFSrTqWzQJ/cdwBmRkV6dBuCaXWl7+v5hWug7hOlO95SzvZzghcWn1lhxP/A79WYF+nMBHt4LD1G1EgDwGGpCFNDOjJeaFYBpgyB1xOOI9TjIQC3f1C016x+hZl0czRB3HnSq8jnxiTriTHb5XWABGD4IEjPzlxkUljuGjA0vB5P+Hx8wj7OOB5G/Ob5Lf7y958gJMWf//grvBrOaC0ARbB7J3j7/7ug7CLe/aNsrR4JFuejYvzQMN8FvPxc0bIiHwNwooHU9FaNHstuCbe/EwxPivOngstbtvS5//ccq6efJZQbYHhUvPpaMd0Lzp+x1+rrf1uQnyuefjHg8qm1nNzz3Nl9E3olEgGY7xXzm4pwCdh/FXqbTKmsIJcD53C0FlDnTwLmu4zDNw2v/t0Z0ycDyo75QVys+4czwgSk5hpmLw0YvxM+F3tVLzQlYLqlSe/u64D7v2ooO8Hxx6y8tr31pL+ZMY4Fp+MI+esdz9PXM27vKHsDgOmS0T7SDkslINMuTORZLSYAOrywt/Lpi4D8ekJrAdMyIl4E4zs+NzkC224szdyp04mtDPffLJjeJLzsIveRJwIqcWH8RPCC+0Yyo63nnwcsXzDmi5Pr2cX2oYbhy2dA77DchNVv5z/w+tOT3JSoYa0VMi9dRyJNedAYrQYgug2rADn1KCwgDzsCEEGbBE2YBCSzQm8qmGrCYoY9dcceTaEIZOJGs04mr4hgDdY8wPeg078erYfutk+oJZYaI4Ntr3pCVwOLSMpmS2GNB8NaMYUheHUvcDfULR2mG2dsqKd1jEQrnebt1F6gBwcUsNu1+gNOodOePSnzJIcuDBvdnXjQKEA23ZQFzWsg4XpDMXtxrH3mvLgm6PS2KgKVAA3W963x3oiAYqUgYk32VcT6WoZ+XT0h6PfLqrUH7bqp7El1YxbrF+eVKE/0C8dHSjOEXPri7sZIzRICYA0UAiucIgIsm3kCQIYEEZvHYtRvT2Ts+a+DyDnpjs2hsCUUnzuDjVoFS414KSNRTw2YWsK7+QbP8w7HeYDMgY6mnTa+BuR0427X1F6nxLr5jV0LAOpWu/nY5nt9/DeJfb+n0Gn8PdElEM95kg0AyUT86wgvxnZtUxkDQvSgUCA1I3xknuY07CuAyYJUjek6SYyh61i/l4xVBdx12ivyRj2X1oAi5pAtH1EEGYR5FbdlhWRqkWNsrILEQMBAfI6vxkPU+Uo3Pfney5kZ/u9klMStLtSr0w5IANxbN3uYLMY5dfBnoWZNwYpYn8t1My9V6XTtSbW3ffLP8L/9tWWktJUFs7mZfp1izqHJKm2e2IYFpokDnUNLwFIjppLwYT4giuKbyy3en/Z4OfHgDDM4RzwRknUtwY1K3O2++R7XrmUo23/71XbAwd7OW/L4q8+rzeeJU5VldVA3eh3/oP+/G4+Ah64G9k6sB34GJS8fzYcoUDDBbWO6SlJ7sXvLAthQ+v17nuAEm1O9IiehMxX6vmv/d21rHUk3qzvttHxNTBTQQFqbA6ibfZNmP1ad+KH4Ynu29gdg69m/rdL3Zq5TgY4Drlo8eYIqPItXTfK6xXli7RVMSLNWW7hu3wXgB5kKNq4+1+Ol9bO4a0o3FFr+Y3uG2ZcKIIugLBGXmPG47HCTeLae2oA/TK/w/rLH82WEzpHmPRN1b+nC5GlbkeYHf3SdBv62MUM/YoyQ2RAB6/3ZxmRVT6WIVj1xt/kyVzThfg1gNTYS29PbxpQoecWNm76zXTSw967TKLfX7S2IAKwxjwX73lse4j8nCHOGLhVtN3DNCL7f6kmwOjxbMSEsDcNR1iDYzleeM7zGcjB65I7njzaBqgnCOh+dP++0dM5vdNqxJz9lHyEGhPie4m14NBgQb4D7tlWTr4kwVYsR7cvCZwXAqMtWYY/XhmoN9izh19P6mPAZsROIey98LG2Qqr0FVroo8pG05XJjlXWrRl89RntuveXOoMbkU2jiefg47fHv42tkaUjWIxoq0KZ4mnZoKliWCFn4OfN96qCbG4NJY9I43zEJkqqITbq8rBtCNvZYDbNQo3psmO9ZoRYF6si4OZ+UtHIBpnvuYcMT12jZhw7u+Vx1I1y/52Z7Xt0r5KagSYK7sLrRKd2dYfuozY0D+8OGGiBtRB15nV4sqvuA+TbSGTwBu29t3mb0fZogBNsEQq0vbmD1U+va95nFI44PFGhz5LxuAVoCyp65TjQ9cgrsWY8d0FqANqAsEWWOSIPi/EnodOB+TaBuuI689+VlAKpgONN9fnhSjI+s0i4Hgq7ZWrmSmsyz6/I2Yb61ThDRZHsBwIVnQh2EvXg9fF+AMAHjdwHpaDFkpga37BWnTyLC/ID5PrJF1P9YlVzZDcAyQUtBeDlh+HakVsUWMJFqzoZ4WuA9JSNIzQB8sglq4SHdiuJyGFFLwLSPuAwJtQUU68G4PFS0HBDngOGJKGPaUjiiVW6SskpRzJotbQJfgMHmbsfktTWgAJIFCkHbJ5RbVjjTYzM96tCv38124ATVHkQZUmktalrihOlJohDNSCdO4DaRxlD2iZRta4kQ5oZwNlOjIbIiYRrAYAkUANQd9ajpWBDMoKqbbTiN9bBD2w0EF1KExoh6P0JjQHyZESY76czEY3oIqJm2/C0xICKF0x+6ItwUSFS0OaLOAe0SEGf2/IoXoi5uErI9tJ12FirbjfR5VA391NXYS6YKeT4BKaI93DCBXaqBDtF2OO0Bfr0ZOtVQWoVMjcBKXINWlMbewq1BjhODpY1Bme5Gjp+qQWo2NHd3EJj9YkprQpg92pHrSnStiHOBpoC052YZJ9NKDIIyJVwAfHO6wblkfBsqhlDxvIz49uUG5/OA9ByQn8QoTFaxLqRBystp1Y+rAq6BdSqyCFkHi4EcozVAc83lJsDr1NROY9W+Prxlk+a4Bv1BUHcBdQy09z9I37A4h7lhlZ0BM5XfD5WIdigD0rmQNr5JYNuYGMQVJnSaI8oN+yvnxwlyKTSKOQxrsuOMC2vHIjOTx3awip7rNa0lWMsR7qRZB9rzLzec68utot6SApR3C2JUxMhDotWAkgNQwGc4rSAOWxMEpMsmUvUKVA+Uaf7APth5paQCrMZbJQazrcXdyFY+feE0mhIBNEAL0qv4IgKd4/oMm9Eac+LPnKd1fufEzyqr8Z5uA6MQ0PvOAghmxNSpqEAPRGVaEMtKvS4HUvJqjtYGhmPVJGCaMk6hYSr3+PLlDsfLgNOHPeQccXik2YcbWcVFVsDP5CC+7lcWg+st25rcGlvl6lWaVdfXZLaNA6uqc+2VcK+geoBadrEH+hpoiDLfS2c+uG6qZSby8YZVo/xieqkgiPtopkzcAwnmoLeBq7uEciDTxdsSwYC0eCnAXKxCuYKU7q7qe4xM1i7OjO98D/eqUTfkM3pczWytMn3SoFmh+0pncnP+1ZkaOik0T5SwJgDpoojn2pO+H3Ks7qwYMEns4GU1fVc2VsGRrJj2cEC7TQhTQTjNNLtbCrVqB+P1mdZUUyBt3daWilV0zxO2raG8BZbvjV1+8ZEHQdsl+znF+H7iHL5JK8PDqm+eqHjVsg7OWmHVDwIsLxmXKvjyeI/SIv4QHpBCw5fHe3z13QPqFBFeaAYzPAPjB8X4oWD4+ggVQb1j3LT2cvcxBOdmjiivRpR9xPC4IL0/WZw1dJ1ni4K6j9ZPEh38Hp7ZciZOFeE08+dHJsC4MIDXAPaUDetcKTsG01MilVSsaiMFtj7XhCWOgrQLvfLooCbAn8vHtlkDNB5iZjgg5oC6S50Knc6ty3E6HdqS5LpLkKbIzwvy04L59YDTZ/y9ODNbOz1Q9zjfK+ortn2QJije9gEAqjOkCPZIYSuiOFtVaVmDdg3A5TWB6uGlsco+KeKpcD4YzZo6YVLLO0MKlvyeJgKSY0bdZ2gKWG4J4A7vJ87/ZQdpqRtYQRVuZxCmgjBXeO/eFgPqjq1zxvcV6XFiXGAma307XxThRCOr8bli982M5Tah7LOZYloyZvu6m6u1bADBoKiHBuyY3IZEZtPvHx/w9cstfvLwiF/evEMQtWQr4rvnG3yIe9SnAenEJOrlR3Y+9USRSeP5M2D61QS9ROz/OjGpC8Byu4Lm6SS4+T0p4/tvCtKxoOz3mO85z6YH+vwcvipIl4r3/9GIl58Bu3eCh9/w/Hr+SWSl3kOeht63VVnQR7lVJvRvFnz26RPePd5Af2fUe6P2jo8N+diw3AQcfxRQ9sDls4Z2qFgeEi5vI/IzcPsHgld1DLi8ijh9HjC9Uey/Enzyry+QqphfZdRRcPw8YnoFjB8E49fF5CA0rsKZ15iP2gGZ5a6h7VnZxjECiKgAdFDETyaEyK4FrQXsxhl340TQYX/BeUl499evEF8iyk3D03+iCKeA8T3X7vyqQRPlN3Hi2h3/mCBVMDySCXD/2xm7P77g9It7XF5npItifM+xd7Du5WcjHv8sWpLKc2954LnVXgQ5sM3T+WcFaED9Q0I+krp++4fWmYHLQTC9bai3FR9ywvHHQ98XNtLzv/X1p1dymwISIF45qQoRvW4R4MGRKhwz2lY9+X/7ltAkQoKS/6+CpQaUGrGUiLJQw4Uma0XU9JZby2w3JvlexeTjau6WvukVKw9MTTPqh/UVmm630r9m1692EDoS1pKgjUSJ1CuigUk9RNmYWtApwUSYeH9OSWrDqmfWKGhV+4NrORgCQwMmFjjNwGdTkev0Z3eG9nu1qqmmTVXOKhRrdcv+ZO2wtgQw+A+B9+5VAB+XIGhQM/wxmrG5NAKGfhpds5uXeEViw8j8GJnsc2dbSd0EWLp9xmAgCF2f/7X2V9fPV9Nh+jm4raj9wMtblay9T+1P2HzGttpoQ9cd3mtAa2wnVDYthaaS+jzPiyVS5lwnCnjLDtkm5z/0+qGKLbAm4h9VXNSSdNnecwxrcrNFp2HPN6LTlfscSbxXjbxuOhKTDqlFEQaupZYCJFtiHtwcLHatuiRBixbgJ7r8hq5DFCY5Qhrk1Z14xdKrCYaE93XqaygaqhhsTSZQa54axA7yYChoFO2awnUCAFvKcw8QhOva0X1Pxq/YFB+N/fpz+oPzfWVoWOAbtFfz+mtrwqSeCG7+eEWt4XvzWq72Ne3AQ6eRw4JTyDoPNnNKjCnjZJmeiKlpbSvQKqu5noPOExvUi1G+esujjXHL1Rx2Zsp2Tm/vfzO+2zHr/+5jj14pVqH7sW5/p6EnfFtzMTIXpLNx+v6+MTHxIATg90KSjmugrFXdZuBHHQNBAT8n1+MRUgNCM9ZB2myIXsHE9UvtHNNkc9vf0hJyjUxwuY8DbWwM/q0yI3bPtQTgB6bgDxoUGWtKEYDgFdgf+F3Y/FGsrJmPn+PHz/OHXg1mfGZj7vNw+37ho7W1XVObea/OaIDtq5XSDimk4f9gpdrX+4aV1StClfrD85JwzAOi0FH8tGS0Kkyqikkaivbq6jYZ8vEgpX29H9+Dm83Blg3UcKf78P09ZasdXUGHNT7pQxrNlNLGrUXOJe+frElR0/V9ihkDuSFXwDomLdLHAwDb/RiLwI3dxOKp7t5qrc/qGNZ9NIDMiqo9tLi6fo9l1FqZOLYsLquyqmNWyMADwud3J87YmbMdNalMZLoDuKx/b+9Pu+u6vaHget4HIVjrY+9xSlv3latWUTb/pLIiK2X9Wdn+7aZ4Ufse67R0T2w1RSjWZD6apA/2DDvLbAF8oa/SOj6XOgBttGtUjnccK+P60FiUKQG1BjxNO3ybb3BafOMDprN19zBmnzMboeh9mR0w8ZifZybWZ6J8LzIlLA6yqrkmmp75Gexzo+u5G7qMzh3a/fn5+9SA7i2jNjlbJrMFgZ0AJCjKgecYzW7VmF8ryEVasQJZO2sB8GqmoIyyen1kdJaBM6GCxfyrR4hLwPgcVqr0OldCEagb9mIzDkERzbeo1oBSgBAScqyoLWCpAdOS6aBfeB8IBDu7+3gDGW+Kzo5IR3fGXplqPv894QzGnmxD7DmEv188y3qNygKIONNrCn0OcswIprqpl5u2IhrgsuezDfPfsEf/wOtPN546nSHjDeTmAN2P3JxUEU7LFWWOZjIWXFiCVQfqVJdbZvUuFG+7htdvXvD6cMaH8w7nacA8ZdTnjHAJ2H0bEC/A4euG/bfUQ7j7rAeLcpogxzOpXntWkrs5B4rphcDWQTmh3eyuNENhrnTGsweqwdr7FAa/feFmHjJlH43CQOSqjNLNPS5vrVnzodLp7BIRj4HNpVMgVc8WeFisAfUSu55zvo8rehw5SfKJqK/z0uecgIeEeGkYHuN1wNHBhgANrGz65tkyq0LzqwGnT9MVVWV6Y6jRoUEOxTYeO8BCQ4yKpQTIyVwjT5y4y0G60QEAQxGpVYsTjTJaFOguIp4K4hNRfVYjVuMv111ChDpLS8Y1B0itrHQDK9VzoemYuG5VtWtLqe0N64HvTsFVqdkqlUleEMhSoJcJujUqWRZWQJsyUTTjEjE9se6GNRhVttKoN5mJ2sYApveJngNaiFAVpNDQVHAuGc+XEecPO8g5mnU+MBwV+alQ47vLCCEAp9VMpycx9tnyPWMd5bXnhHZ/QKf5eRWwgXP/dr+CBAB0MOpbaWQJuC534Hws+4D5TnD5hEGF6/uc5hgugngSxJkoYN+YNBhDwA3fbM4Z3bUH5rYx0lRkRFgGItMLK/TuTtmr6LWtgJazNaLR0yw5nu8zLq9iN79okXSY5UZRbyuGuxkxNprchYYUGaweMQKLEIkceCq1TGq8Ox2yJUGEtADZOavBEfi46i83VWio0inZ98qN+3WvQrk7sGuQe1XS1ovT1rfgjtPYPfmtqxmPv8Sp39ukt1RgvkBrg9zdoN5YRbxWS5DBCmoIaHvvWy4GekinOnbGRgEwCcpLxnEJ7LlYBTJF5OdwdXDmM1tGxIkVkdVAC2ReOFMhBCY5fs82LrpjlUQq54c4YBYCmoMj22VhlGKv6HaDrT7GVtUymls5oFd+fP5o9KQcVt2nlqhUSjh68q6ANNKOyfChbMHpdRAzrhIfi4h4zj0xp5FbQ6gNwTiUCkseo6DtMivOh9SrdAzwTFuZWY2re2B+3RDuFkhwpgL/FlG8TBFhotdC6IEl/5SdoKVkARo/uw3BErON1rAY6LHRBjoLB4vB7+7Kf14QLmXdq0XYAk8E3Uk/sMUKGlbWkYNFvncPGe3uBt27wtaCBoEsCp2u9/P5kx3CJSKcS2f6iCrSacHKEoA5Bl8HylcJjXA/j88BbRY8HQ5YKvd1NcqmB+z5hWdkurCKVXcRl5/esdI3c77GqQEzevVfg6DdOoOMscb0OmN+lQwA5ZinY2G7tCiQkc/Oz9qw8L3qTUa5pZFPmLg2lvuEFhmvAKRNLnec2+WWgWXbkd0C188vAfVDQJiptwxFe6JXR8H5U66bdIoIC2mKbbC45YVxSTkQSI8XQbpExJkVZ8CCb1CnGKZKcyWjTrredHpF8x9/JnW0c8jkJi0x3hp2pc/vEBpyrIhB8U5uSHe0/t6hAMMjMDxzzyk7Ar6hrgk6LOhuObBFoM9t+2cbAkGzuK7v9Dxj276NJmecE+nMKpZGAfaZFOz3U3/PqyR5I02RxLMuHSsp3+4/sM+or/coJQO/5jUd/njG6faA+VYgLSDMAyDA7kPj2TcKpjtnEFAHe/pFIZvp64zhSXB+UHz65mldOyXi8ekGdYr43eOI37VPmMBEBUrA+LuBPgXmt+N61lDo3CvNfA0GID8D+ldsR1VuFeUG2H0jSCcaYQ3PTLBaBuYkWPYJQMLlU8F8r6y+T0yyzp8wfh0fG27/SJO342cEiMiQpMFTnJXtfn5Wec3+SgagNcG3394hJMX+Hz+iNcHLv7vH7jvp+lDSxbUDQTTQEjz8ZcN8K/jwD1eJGmDeB4HGW9/9pyPipBgf137P6cy5fPwsoBwEL39WoUPD4bcZwzfa6cpxAvZfUd54+bSh3VaEXUEeOc9zYkJ7/naHcAp4GRXPQwMWQXpmdXg0YBkKtBJR9w3lFxe0S8LNX2QMT9oT+uFZcftl62tbA3D+LOP82Su0yOeULkaVj4Jv/7MR5y8U4zvB4Y+UkbqJ38fAYMuCu98xDzx/BmOO8vvDY8Hw7oz5zR5P/2DAfMNF5kBFPgKbTll/6+vvx3jqEBn0J9d7tdXExtBeAF1n40iYU3iJdFCM3XYNGCtuxxkPwxnP00jUaA4IJ2oU0xmI55U+RZQz9GDDq7g6L+Yo61DfJhDc6DhJ91p7fwKGjk2LaXNNG+eVs15BZABNShG6XqvrWaxCVPcNumuItwvGccE0ZNSQoYHUIi+u2ZvDIZJgtKOyd20s35daENOALdtAxNDYU+SC9cqitzcB0aWrqk4QaGCluOzQkwrS3LQnuLvDjFoDlotNma42t03MkZlq95xkTVKUDothI/5wZA8AAxURJp3bkdhSgL2tQAqG8trXtlVTd2XeakudspajVZO1z0s68W6eaW0MWlszQ56t8RgPea1MHgQGmmz1Xh9VkWp2MyT0++5Dp2DA72+v1OiWGoAl9H5hUtaNUFStPU9AiIF9cbeJ3fpmNrf9Wdv9DJmGKyKr3ntz7e423R+tO82a3lU3wrFeyRrQe5y1HatDGBpCaqgxAxp6MAOItWawKnjGprKGju47mOPzi2hwQMjcUAEgbqsyXtkKDMKuqqXGzPB7aQPXklNOWaEzs6mhYRgKgihSrJSwbtrfeDTDazYn77BevwY+H1WBRLUAM8ApJr0C3UD5g1eht9Un3y+3c8nNoj5+9edr8/CqQmvJ2keJbu9F7HMmxp5g+edpbauhoNM1F9tXWYqxsbvauPpYtLg50Pz5WaULJfBr1uIgzLYPGBrsUo2eqGxYGx0s9QqDX7K3TjP3cAX7rnZdJ+xaPMlt/nv2dxVWC5SUu6uKn3khOCCi1muSc9ju0w8eBNP3UVsnhub3b9u4LTcEA+KFv+uf0dlMAEQ3FdUeGAg1eoEVaP62AUPGfFADGLxdz1pxXo2m2q5hyLWzFcTmuRveXbUbsmtQsfMnwFpdmEOn2AXKmuAGByT81eeoAXAi7PNtlPvvz+uwPrsA7vVig+A/H9kKy9tGabD3BID2kVv/x2c+uDdjolZfY+xsLdfzuoTi6n36/aAndT4NQwWwCOoSMM+JzrItoLX1B8OCHpDTDRooOawuup2Rtp7X3JdXV3vXYlYzukuXxnNCQZDXWyw17e/r99Cymybx+yp8n5bXtdASg022vlMgKWRXEQcmWNqEEqXLqofl7dm1RXOPdWXYQilIHQ3kLPy5urf1FBjT4AUr8J48DrNEX3ydrWdm2QvmOwbrcWHlZ7lVMhR8HeWGlDjPh1QQBNhn9u1+jPvVSNy2tThTFtQygS1psi4Avxyr5kplkN4NEhX0bAieCAVDpoRxQwQgLjnzTgO2pwnXbzBJhoZg5qYgCN/cbNLZjV6NZfIh1eKZFNjFZOtfcialevWdMIO8qSEEawVl/aBD5c/FuwUhVgCZBRgAh0yAqPkZ2DjfwzkiXgR1p2h3TNqHJ4IZ8z110SvIxzGWateinBP5hWdyOfizI0jT+59vYgO1uVV3TC7dbFUa511Lgt0HxfjNBfh0h/o55Ulx0i65SJcGqYEU7NRWlpZtOXUOwBShh4KfPDwiiOK/u71FfY6oB3NsVp5d/ZyDgzgVyz5hfiDgHyfpMbEoiwHzA4GVeGEC5hIAAqiUB+K2IA0VGvJakbZKcTz3kAJIDTFXHHZzv4+m7MqRzoK22FkzCYYPBhg4m7TaegzA4XbCOQDpzCS3WgU6FJqgaRRMIVobJDFZkV4xHzQI5gdg+XRBehmQTw3prBjfTZSbmB+Qn1UAMICa5cvb3LXBAIHn8OEFOQWEZQR0I5eoBtwtP7A3/8DrT9fkvn7giC3FKlyWECYzSFoKA47biLan5q6a3gnAWh1oQB0Vt5+/YJeZXLy73ODpuKPweQ6kynTba0cETdNU2hq8iEAPoyHAsYvzMVuzMw+KciLdNhqN1qmnIMpf7wdsewHqLjGhTqFXWQEurPmWOtZmyagj/3WvwH1B3i3ImVSCGBva0NCqoNwQpWazaXOSi+hmPhDTJzjdIQEQIh/SpAvhHVGhuJ4JcJgqN9K2MQqxoC/MRAGnT3eY7yKWvU2+RNc5TaAWIzXkseD17Qm1BRyHAbUGTOeM5RSBJazBnh0udeT/PfltUbDs0S2/3XAMRekQ+PqWgYX1BkXFSuPatI4BsBrrVNOjhkDHyQBzNC3ojqsia9uo09QrQRCBSFsraWaO1vsr/1BgE22paPh+UgKwKgrA9cSun1MQFa6D9XS7YXU8v5owjAU3w4woDc/LiJfLiMt5oN18kd63zAMVKWpVqromAA4sbel//nKTCv/Zzb/bPgP73Ok/fi9dR+pBhQhqTKh7VsuWW67d6T6g3Ajme2B5VbnZHgrR8lyRYsMpKkrIaHNAKBwDqUw4PfB3swNH47etfMTpSg2Ik/Rm7PkkSOeAwQJCMTMWsZ7Pmtd2FH5fNHaTrhWto2B6TXBtflshh4L9zYzb3YQcGg55hqrgZRmw1MjDvaEfHmHhdS7ChKZZUESdrvftUwA+N7WbC/VA2qmb5o69pbBpTvC+3VpKpzQz+bDnWixgqpu9rdOymUyiNehGkyg9GQx93l4lxykCc4FOE3A6I/j88nVk+nfNsfsSSNFO591WPesOWB5Ih5Kbgpgag/8qaJKgJ75nutBww6lsTOzNldfnZlgNbbgHtPV+h4w2JO7jy7VmVI1SiRzYSkUV8hEfV6O5UwcHQ4Tt3hJZNTWbnnXHALjc1TX4T60b2ZRzxLxkxIsFyIKuZ1UP/pNguYUFllwPW4Q7H2EmMrK2SFB0emuoDBbqjnuM08Y6jdIf605QRrrjTq8YsExvyMpJ9zNe353grSRqC3g67lCWCJwj95/qIBD6vl7MVToU6dVItm/R3k4FgfeIQLBOC/q+q2ZA2Sm49tZXfaNVqbENAt2NEAS6S18mzoGtaZiBjFoKZIlk9nxE2/X5pPMCrXP/0v7rE9Iczal9hO4SVALPeKC34qobffPwzPP5/Cb2eU6AD2iHBk0N+5sZ+3HGUiPPyYn7n0x0aWXfU2w0n/wcGvoJ0suMcF7QhoS22+iDLZkJan8vTMqDVXzLTQL2Ec0qngSMqJHzvq5uDicNrDRbkcGBxZaYfM4PDW1siK/mHrOEQI1fa4I5KNo+9qA8LIJyA1zMKEYzq1znOyYiXinVCExxbZsSZ8YZy4BOWw7F+sfqCjCkS0U60YdlfpUYZ0X0Cvsy8FmwTaBA38wYDwtyLhhTRYoV9wMrpFNNmGtEqwYiNVtnjeBTr9g76NHW6zV8Dz5xHUzyWHZ8X5FeZtRdQlX6d9Q99cJd2ubPM6/9j+OpmDxEgME6WoyU8tC3gue1hoFnyMSMNFj804aIdpMRporh2xNCWUtc55/d4vRpwPSaY7N7T0DKQZPlQBMqn5MQoL0fUINiZ27r4RTxu29fIUZFSjxLxv2COlQs0x7pGBAmQb1kVr6N9eGJFAA7+xX5xbThJZHFeRMww2jrEnoCe/qcPg3Do/Y9DQIsN9w70YDhfbCevtw8WYVXnN5GPP/kDp1mHoHLLe8l/h4Y3xvDYSAAUhfSM/KeRaiTjKhTRLsk/OarT8i2e6HRWglA21fIJSI/8T0ve4GOisuniu/+cWZFctcM9LZrfQpIL+t9AMDpC9tYHdi0XCguwO7fjRAF7n/bsP96wemLjKdfcj9f7hrPjzcT9vsF85zw/ps7xF3Fp2+ekGPDy76iWAvKONEle/8Vr+fxHwDlVYXsC9JYkAFMU4I24OXnDefPV7lLfg6Y74eeVKuw2l939CPIL5xLp89HQBV3/15x+DJTu342HxkroExvBxTX7QfeZ36uBIssea1ZMN8FSM3Ihx0ggv2XinhJiGeYNw2r8pvt/G99/clJbrs7AMcKXCaaGvmBFolgBQ/AZI+6S5aE2YFs/Hk3ntKh4ldv3mEXF/zh5QHHOWM+Z8iJB2+wTYyImyMfAbg0hElXeocAbZchw+b2xNDdUjsFtrtbwpEm7eFPuY1Y7hLibA2p4SZP+F5zekc3vEqkpmsoN4q6V+xuJ9zsZpPcCUpsKKlBs7DvrBjHfPaDCHCXMogFjJseni2bQQ6A9CEizsD4znj2FTzoFm6QW8qY07Ed9UUImO8iTp+FDeWGAvGWFTo2SFLsxgWf7o+YW8QQKy4l4fy4gxyNYhd0rdZb5UCNU2/Go0x8E59zDAJoQ6ymxYkDQmlsD2BGSQJYUGOJpyPSha7CDPhZ2XEEXy6LtYsoDHxS6mCLnC782jCstE9vTxMD8HFV6qOXREaiV5rVq4XQgEXZCqNTrrkp1MGcHvcWFN1UfPpwxD4v2KcFQRTnOeN8GtAuEaH6wWoBUVFLWJRmXLWuwIu7Jjtl1SsesLWwbZ8F8H0CaPJkqJq381iRdK5PrzjUgaZCLXkiyl5wyw3neLxje4ab/YQUG4ZYjRbW8AygTBHlkhEsQPbgwIP/auhs2RPpbCP/oHKDdj2IFAd+iJKnM12KxcCJaDRszZw3Wy19HWm2sia5wPS2QXcV+X7GuFtwM864HyaMqeA+XzqF/FxJsxVlQBQv67Wz6mxrVtEBuzjDEhUAGhHnhnhu/Zl4v9ZuirPRxXlSqYnVKpSylWuit3gS07VXS2S1cWy2DrGq3BQAIBgAaf4DBHTamjQDrOy2BTrPwOnM/CZn6GHXk26pDbgZGaRV7VX1FqXPkbozitZtRcgV435BShW1Uss1lQANXCekkZk7PhytdXhY1sTFdHpXLb5EmBDsE0Gu7X4HYGvCoklYFbS16QZObD1j1z8alX5ctVFr/2SgjQo5sLJ1e3PBzTijmLb+ZRgxndjWI55l1dJbJWW5l7XilP1GLXAOFugjEESZFSFL19xpk14pdVaCa8vXm0WfQ3UQzA8M/qfXtqZeLci7goe7Mz67eUFpAUuLOC8ZZY5oR8qBQrHz2NkOFqDXkYlAdMZxgcllxO7Fqt7BaPyRa0ZtXSDHtc/5di77nHdjwHnhXM+JCeY0Qx+faBLpvbUdzHNvAm+ztQX+tp+xLFBfBwDit0+QMDLBHDKppDEwnhDQXK5ob20YCoweCuBN7HOijgodFbhbkFLD7X7CIS+4lIRpSVjmhObMnNkA+sU7S1iLHbHYIgByKZDHF4T7G7R92gAZ7m2g1MxtgBqC/WYU1jivpQJi5pQYnFG0Mui8KtmTaAPW6whSIPcFn795wiEv9Ilw/4gaIKI4jQlARB2AsCOAUw/aabYtAvXtgnyYsXzYIT1GIJHqzxZNHI9yw30/nXgGhaUxbqnNDD4jZG6IzxPaIeP8WSYg7/cQV5qjVwv3dxN++uoDlhZRW8AYC97ujgCAPxwfMJcEb63iQGqoPKPbIB2AdQ8RqUAuHl9iTVSNgVGH9drD84WHi8+nMRrTT0xqpt2V3mUFYab8SmNYE+Adz7ZwNhO2MaGOEfFckF4mONtAo6DdZCy3CeNcEd49I5RznxvHzxOm18By35CPBhS2tQpfdzzH40wgWQXIj9axwxgC8SxY3u+wJEXYF8TYcHd7xpAqvvp6z+RD+AzdUdgpvT05cqO2Y2GcVxRxDBBNqEMwN37uj9NbSp+kBozv12XMeJ9zKD8zCXanY1XB8FIRZsXxRxkvv6xILwH7b8R631Kjvf9aOo0/WpW/mkPxMBTc7ybMc0JVQOaA8t0OqILdi3SXatlVYA4YnjkfLp+RuVXeLHi5u97fNBAZCd8E7L8xkHRv+/Ib7svxJARGK/eZOAE3v2/IZ8X+ywvS+xNOn7/F+ccVumvIdxOG1LAfZwyp4uvzPeK7jHoXkD8xSv6+olZBrBHhFJBPwOHbirIPKA8N918842F/wavdGd+cbvDVNw+ciz++QEVRC/vqlvuEuqd8JZ34PJd7k6ZFft113KEIHv5yxvDdGfWQUQ6pA0OaacC13LkvBqnrceYZ5uusZcod40w5lApw+KZheLa8z9pRasD3zvq/6fWn05UBOMXNgwa4MQpAfU1O5hxo+rWFyG+wRaqJFtEYGgIUQRRjYmCXhorFk9VpDY6DtQ2K1kIIUaB1Y+G+oRwBMMOKwDu2HqEA4C0yWDGQXtXwhukaQ++h54i705Klyvp/09969bbuFO22QqzPZm1i+r7GwyKxsuAoeRuAghVJBACxCpe7G5MeqoaQSd/kW0ZHQTuyqEAbYu99jkbHMs2Rng03mRULE3avfUKBctugQ0M4FKRcMeaCBunPpakgjJU976zC5RbsoqDRVlbTXVuy6wE/gDYDsOasUgUaCRSgEpiIp7lTxXWMhtCWtXrjAbwbVy1ErGVeev9fSWlN7AA6KvfkwbWgntlvWpEAnAPRYO7tq1pVzXuLbgKprvfOYEAhME2P08UMxbWG9EOsGGPBbZ6QpGHMBaegaNs9cpN4+lx1bU7X6jQzTPnIMMrX5frLcnW9buLR3HnaAm13V9RuGAWb2wz6iaRSQ18PinJX8er2jDEXvNmfsIsLirLyOdeIcx7QvFplAIh4ywZLEskcUANCuPHr0IAmqObOiSYIagDSyMPA9cIi5iRb2toDtQGIRhmPYgkuq8muEdOhAUPDuFtwu5uwSwU5ViSDnxsEVQWlsVVYc/ODnVyh+r52PAjy6hyrKYKwBNNUeuUzQGHXuqHiSkWnEasxA8g4GQxk+ehl4A9K4R8AMibO3WruycpKEWlzpJx3RsMP0Di9Z7UMA2TIBIW2SYODQlV7b09+HT3Jcp2SJmUfv1SREoEPVeHHKamMwU1FNj19e+/jvoevLWVoZ0ddqM9uqRXhB5wWV1doIsl+2G6p1IA/t+tq9HIj5gzJv+d7RXmoQG4Y9mTl7IYF+7zgZR4wlWimTdLnhCZBE4WEtdoDcA5f0SoF0KjGcgBasQSqmm7XaZN2naQn8kvRvBc8UffgteyA5Y6007ZjgBdyQ8oV+7zgPl9wKhnvL3tMi1dYV61xj1YFqHsBAls+dMAyWnUuBOuDTff4bj7mCXdgootAYFXmtX8owN+XLCujwZlWQGfHENAJpGnOi9HewnUiCxjoiVXD7vt6jJD9HkEj4PPE98NIynI8FUgKECV1Obgmt27pxVtA0OcYoLnh5nbCmBc87C4YI8/I2gLppU4D3/we732l7tVd5FjfjR2Yi8e5MybaFq8vrdMXWyYDpLrZi91bGYE6jps1tf6MJ8Eagek+mJMuz+35oSHdLBjGBbtUMMaCAMUIymmmEGmUaPO8jYpSV5YDzxHOI4mkwmOsKHfoKJ0UQZxiN+/p9HgDmmSf4K29pHLvarcD6j6R5mrF/FAVDRZk75SMorFhPxA4vssTdmlBgCKFirklA6QsEzcQx8Ho5q1ZgE2iCxsrA62KAQiNcYs0GP2Vz6I+7K+M4ryC7u/Zn6Gia6XpIdLWtmV2nsFc67X3VDVQbD+sZ7vQPyYfyc67krqA45pOACQwSdEVBIGgt0xSQZerhVlsfMHK4kWgzxHltiI/FAxDwS4XRKE7+/wQCP5OK2ACMXAwUW8aL7yWuo8ABiy39A5Y9qFrPd2YNcyCpEB+AcanhpaA2f1UBL2vdzrx/2XH8WqRPhiagHjifnh5o+u9LEzqT18MKHtgOQ6Q3BCHihAb3t6c8MXNEx7POyyX0AGNLgdMfJ/6khFmxkCuRdYqxjxsQBHIbLH9TUFIDfND7L1o/fxJZ0GbgeGRfWfLgcy4ljnmdRDUYY/wox2mh4D0olii4ovXz7gfL3iZR0w1YtwvuHwaEHPDh/OO7JyZa1QDc4ayF5zfEpSCsq83ACwt4Nv3d4h/GCEAyp1L9hjHxHNYTbxMxxsmQRSQbn1eaeDUdCeU/a2xRATx3JCfJmgJgIyWDK8sT18DYSJZUtTBQ0E9DP1Mdr+WOijSpEjHtoJ4/4HXn57kNvAQWmagDJ1u2r99u+sai7A00pcam4iH3br5llcF+WZGChVJGh6GM/Yp4XQY8FQD2kuGPPvAwBrRW2PsSAMnEUXwauDHmhzAkptI5HbTA5fJVOiUIDfz4IZqvaBk5fV7IuoUHA/+6w6YPqsIr2YcDhO+uH9GU8G74wGlBeyHBQfThABg3yqb9OUA4AB0HZRwg0Cwioj1M0Ru1GyeuQg1KWoEAOl6xd6vcsdqUJgracNDJFV8CJgeSN8sB36W67XqQTF8dsI4FOyHBSk07E2PkaRhyDzEH292uAQiProE1MWccEETn7bzCJKHWpjFWg+w/YpGIIfQEzlRVuXDotifZrYOutmbOUyj4cjWYMkrX6qks9UGfX6BXibI7Q1kN14ndd5CJ7HXsb+kNcg0r9UhS14lJUhYJ7KqQpfCCleMTKJjXBPpDRWaVRZLwMLKVnDttmTSYe+HCz4bXzCGBd/sbvF82jFQBudAqOtBA1iSe5kIzHhAuE3kP6IFul7tarz85QYZQ+hmQb2fs+kD+3VHWEVLML9i9WK5U+ih4vDmhP/4k6/xkM/4s/23GMOC313e4MNyQFPBZUlQBeY0QIuwQmvaWRpKmW19NtOqqDx4cmN+NkRoEUhlYlNHh9GBbAij69j8cF4dRWnF3zJbwNThugIt+4q0W/D25oTPDs8A0HWJzZLbuSSUEiFCemoLirldB6vihixAD4zzkTS+XhWLAVKsSm/VGIFRjEuFTjMTAtP/C8C2ZiIQa4e03csgwgpva/x7mjgvbw6sdp3OwOQlNzENewUkAP8Db3/WK8mypIthn5l7RGTmWquGPZyx53svL64GEtAI6UEv+if6J3ziXxH0pB/AN0IiBIESQIikLsXu09M5ffZYVWvIzIhwd9PDZ+YRuWp33wZOgwnUrtpryIzw8MHMvsGGYVsbUbCJtz9fgDRBTkfI8Qi7P8IHBN10TYTtKj6wzVM9jZurbxTLRqAdGo6HFUOuOE0LgyIT6hSrm/CcgTxTCwcwyNXsSVAjNU/MqCVPAsu5F5BowOKmLNfVWyR5T1lPlsv9SE1j1LMmwXKnPUmMYDOt1t1r6yg0afL+fG0A6tuCNz97xpgrplyQteHNdMUpL7isA66XEWXOPRAItoA06ft57O310GD325hLashDQy2K+qT+O2HMgw3hjv6yfKjUvjp9ec1Kd1l3O1/eCq6/qDwzcgOS4XhccJpWfHE449fHj/jt5R0ezwcs80CtYyZ7p5mSADJEYONndY4kekPkxkMYyxlGCuK9qGkwl/SY/ycthYyanIA0obc+AqDXZTPMCyrzWoDrAqyrz+EKez7TMO3+5PuvbPtw83ZRr30ScoK8ewNpMxDIUPQAFwHWAv1YoKqw4+jFETIi0iw7vao4dTmeicBGem386y+/x/0wY9LS95C1KTScumNv8AJPoHsts+3W8hCynwn5LmP8cEX63Q/A8UAqPRyJlY3S24bU28hQEuOJxRDBNMdfF4+5Bj5DKeLaU8Hlaz7L8pb0xem04udvnzCkirfjhX02B97DuYx4KSNKTXBmKMrRnL1mrpE0YOA+ngfqHQ/3C3CPrhksRTHrsRsT5rMXyv08qgcO+PBSkC6FrbbeDjQ6vGeBMl+oB8SR51G5N3zxRx/x5jDjmFeMWvGr0yf8+fE7PNcD/v7yHgtA9kL1B5o9IfHK8nrfbhgWoYOHF+mlAcMn7luAoc0cx+kDGXPrw4D14QhdGvK5AplSJUuCtLROyQb4PEhZj1ZmTHLDF0PX5vGdovm5HRKz8nbiNa0VUhrSy4L8sW7FnZ0mVwtw+MFgH2jsR38N9L/TbEgjdaDl3lxX6rIb38uGZyZkF0l492cXPEwzkh+Ap/cXnAXQp4zDtxxHGlByXrWpAT8kHH7gtSwPCXpSLHdMbsuJVPeeHCNaDAnuvmm4+/sz20b9fMRavZPIRLDs8KFhPSmWn6MzICMuHz8J1reG9U9n2KI4/vWIfAaWN8D1K2Xy/cOAemo4/dEjvrg74z/54rf4N8dv8DeP77E8E12sHjbGfp6uAv0moY3G/TX7XFkUcqgE5S4D9FFh2XD/5oKfPTzjL9evcZbJpYWcS+NHv8/fVxx+WPHxX014/vPmayFBV2B9w7wiPxkO33G/+D/+4t/j3x1/i//rd/8L/ObxC/z6/Sc8/OyKb88P+O3ffwGs2ueZDYbicqroxCJNsDyNWC8DntMB+tsDvvqvWSx9+VVCPezmafV8y/8OSU2+kqo8Phry3DB9WGEi+PhvJly/dL3x2XD8EdD/3wsggpbuUE4+n14or0zXBk1M8qlZ5pyQCsxfhJliuL3zTD9+33D//RVl3RgL/9TrD9fkRmLwmsa5b2lx45e+SzxcpB+N5zuw5hGJeusO0Sirxe9t7xMU4962KFpm3Fykv/HrhGCXCJuguzkaPFFMUc3vb4QwbAhjBC1hpuPo5dAweKXrmFeUppiGwqru7t74brtXJLfxjSj+eRJsMQa2/Xz8b1ixR0+/+H8aVnglC9goS2FT7nbmm3YRnR0Yibj5NTcTorlg8K9i0ERdsYEXYSFbjcNud4OtAWr8TNhGb4gWUJ0GpOK6VgYZfXhSNEXHzRy6KWZogiRHbPca1Vco5t71+zU63Omcr35nnwjI/nu2f2jo42+Aa3N3z6uBG1gTVGProNUUGfy3GWCVQaOuwjX1allt9yo9+d2baX2mSYuveYU3ELCYA0RpqScvx5hr4lVeoyFC9oDMe57VEbADKW13hwVfjS94ky+4T1cMUnugp7s1e2tJil7R7Lb7BjJA0u1a3z20biYV347qak84xddvrOUb7TQ62yAqxpLoEE70tqHh1TUCXWJgQbsE+n7Vby304l79hH8ODK4xdiMNQb8+2T8bkc+R2ta6DvcfuahX4yO38zJeKkxs498/9fqpr4v+4z//+mW2FavcGOb1+h/c2fS8DKhVgbYVf+L3u/+BxT7EsSRV3PW1CZDXzynuO6jgsiG4UbRpOSrBZCXsn1++cE5FghjJQh2dkXMgqyX02geXGGSpaCYOsHJ+9KPK/3Qzqd2eLk1gRVjQ8XGKRJBrExvKJOjoiwXr4ieey3af2Npb9OcLSDLkxIJlVl53MbYxC+rmzboTf4bYkDO6pYajKN83aIk3n9fXNvcdFjF3exTQjewkTKYAdCd8jXUuPAdaIlNBFOLyDKK2vu5266jPh70+/fX3gc3Yav8z0VZvXwQtTEY65TRYVuYB4ExanwpZWvvXfv/rCFr/E4H9bp+KMwLgNYzDxjpCzKUeJCGQLewen+kW7HdfBQ9sQ4MrwrElc4tzHFPFeFxxOsy4H2eMWnBIBSoNg1/U0pLHAvjsFeZygM8bj7NpTkaDM9udAabmiGW4eEcLFtniCN3GZpO1WafS95YsA4N5TjdD1oasFQrD2jKq8Zzdt+rbu4a1Ic5+/5YXW9GExcEIEWSnY06cln2q7I6tKEap+jMx21BgN3EM6UF3JLf9XDF3h98NcDh+ZzrFy754IoyZJBnnS9nuU13vHbRqaVsvZhM4Uhufy41oj6zfnJuJY5uEz7Kfl8oCRzAKeb3+Pqs469D6XLQ4APcxL9D1u7rstP5BsffHpYU6U+p+1U3S4L19rc8LgLEK39C9cSA03pvIirShAQey6LI2/Lic8Ff4Gs/XCVpjD4q1b6i6sY8oH/DzyYuImg3jVLinDhmWGGvNJcOKuvRM+n2H6zTR1p1BqaOvMccY+29r57lO+FjvcK0ZtSmZla/jrViDHls3cAwM6DmBVYG1hAQCjfB50rXUvh9p2e1L8GTXwcatn/f2TLtpIfwMiA4psWe6jIdu07nT0NvgsZF/bz05863xs2qK5ywodwPqdXPL/6def3iS+3yGLRVW603yIBeiCApA1op2GlFOGZGMEf2kGU+bPLAx9GSqWQT++4MJnS61NsHwwu+luUIer46QvEJxh0xTEqAftDShoiaVVX+AlQbF8kXulMZycBe/t5xouuvPS5oKURmKwQ3lriHfr3h7d8Ehk+ZzygvevWXF4bvrPZ6XEUtJ/QBQ+Hu9UBdB3SYQdD5r/gNqQBXINfUkltVxd/obgcsXgnwVTI9+KL1Jzn1vSNfUx6+5o2IYWUWP9KAU16JYUsZSMkQM67gymDPp2hwAGIaKsiRWjpRjYGpox9YR56B022io2QBT1IJuzjU+AuNj80POD53TAGn33LhjSk0jMPrz3Wlyge0wlIc74OEOWFbY5Uo0dho9cPHg5fXvR6JbKxGBvbGJbIeFXS6ATpDjEZgmYHLKkNOjIc4OqA2yFCgyloehi+qDFpSuArsk/Hg+Yh4zminGVPDpcsByHSBPGYfvvBI2xwHoFxEGWbol5lIqZF4ZoEVAFPM/p37fXbvrv1cOCeVOcX2n1O6Nro1VN0QxVhzTxQ9079u2vK/AseL+3QVf3p3xr958j//D2/8vRqlYLGG1jEErBkfBW1O0qjt6ChH9eE+IIZ9J21unBh0qiwBz8p2Zay4yQ11ZBdSVh7YVsNVE8cNoSmhTQjnmLfD2AIVa5GAsNAxjxTgUDFqhYp1irWIe4Bl7GVen/1ydYjm42ZDy+pH8TxWgqB/sCluIHEcsMDzvNN2K7ZnlBBw4n2Te0N1OiXldwDBDtAQSIbopR9mQLcCDdv9/b0t046ochcCUtg0A4M9qQFdxHbuXV8HMUVN4azVdKjXS1gBJaCdSwVtjEvhmuuLNcMWH8xHLeYRedGst4XTlfK1sHQQwmTOP082gV9cvu1YZQEc128S1J/MKuSxdHgM4hXBULA+K5Q33vfUOW1FSgcP3isOP5j4KXAvLWwb/+tWM9w9nvD1e8cf3HzBpxV3m2fa7y1t8mo+4Bt3XGIAxmNkxfbwoUgnIIT8L7JqxvqmQNyvn+yW71nILNMz3eF3dkdRZOBEcx0Qi+qXe1kvclArQsxJJORhSbvjFwxN+dfcJ1QS/vbzDD9c7lDVtshOgB6cMFo0RgicY5b7B7upGx2tbUDI+gvIjcb2UcOxFBOlSyK4CYIeR8yp0tzlxXq5lm5MDpSbtQG2jPl0A91OwN3dMjq4z5SkA9+Jg0cQ+7/NG6i46278GZ+I0Y+upE1vAlROzwPxSoGtFOi/Ijw3tOGD+csK+z+zwDGhRXNqID788oZkyuRLraKEZIKtuiYPFPti4B5/IMkgL9/n8UpHPK82Hfv0F7ynHvHDjqOK+FtGhQj2BMrbmKU6+6AnK5PThEgHjdv6XdzTde/f2jC/uzvjy8II/Pf0IFetJ4aTcI+f2Nc7rgHkdtkC9Sw7UKbuGenLH+mSQEWgVEGEwblXQikIWUlzzheZCutCfoydfAPSgMMl0eP04I10zynFEOdBMrRyB8mBY31ZgbDjPA2oT3L1d8DDMuNQBv7l8hbklPC5HLL7PZWVxXq4et3xReS8XaqfryTA8zKgrders8c7HHpIuaW52ZZTEpMZnKsWQnxekDy+w44h8zGhZMD6t1NeaT4pqvR1WN6uMo2FpyB/OXI7HgdrH6wq5rrDThDYlGJwRVA31NFCaNleklxm7TlnI54bzLwXXL3GTZIXs7/id4fhjRbo2DOeC5WHA0x+zRWD3yjh5se9twZvpilErvjnf47oM7HduAsuG5W2DFsHw5EZST1wr6Ype1GEh2roBG2nNHiN50jSc0QtLl18cPFcgrX54YmGpHoCP/xbuf0Malfj+Kb++4M9+/gO+ebrH0z88AALUP79Ah4qDJ7Rf3p3xFw/fo7SEb64PeFlH/N//6l+hfhqQnxOGFY4M8RrXN2Sbjd8nTB9YiNFVqa39ZUM+FXz57hl/9PAR31/u8Vt5h9YEL08HPD8ecfi7Efd/S6+bctoKfdKAy1eK888SlreALKTBrw+k/g3PgvGRcfz6BoAa/vO/+7f4L6c/x9N1QqnUyc8l47Jm5FOBmWA6LMipYV7oC2BVsE6URMhUIWpocwIWRTkaPv47ntP1yFwjvSjSLG4OxWJaHfk8hxc+v9iTqgiuXw4QA6ZHw/BiiM4VJsD8yzcAyBo4fo8e285vBR/+nexclQ2H7wWHHyhde/oTmvW9+duKdGl4/nXGei+4fCVYHg6oM4D/8qe39/3rD6crr2VDlACvzrXIWBn0q/Lfu7O0Vw3SdpjDBIuLT5aWaBxgQiqVSa8mUPe1ITuktZUewPP9pV9PtI6gAQZ1XbyeXYVE42Bnghste6K9kSnQzFhoCROcoC4nv57BkIfajXcAuDbkiiSG7673KDWhuPNid6SMJMjNRrrZZHjSNCaY4bjLMdh+Roq4LkvQnOMORAIrNDDZt04V/PTLr4WB/ZbgrdqwJj6LpXgPQADhzhn64AgaA6Gwwh3CnP4j4GbYRLwiE1Uj63oTeDXaQocdzzMRKQn60E9e/pCJHNQKXJ268wqxj8Qw5s3NZ7xGwvaVf6+iSrTucXocf922IQ2dZFQAo4LVnPJRABTBUjKSGulfRgpVoLj5slHjPwNDHXG4cU5ubXMMB24DO9VNw7ZDC6PQVCfpmu9yBCC2VfF8vkUhpA0ABkOaKu6mBe+mC76anvGzRKrvx8ZADwCqo//xdyB3ETBbJIjmn2FeOQe43qPi6Q60WyV/qyx2tCgKFh7khjHBhnBsew+r2ubMEevJbdCTiyVkVKJc/nVrjjxGwUZ9riYD1CC5QbN1VoPBqYeuNW/Z2R4+H27m1x5pD3f3aJ/Tbp/jfg7v53Qgl/KaXRDofXxGSttn/cQcj/eS/dde67r79Wz/H14M1HD7cyN0hdaELa+EurjaFLYokjua9sDfwORt12oAYOGro73Bpnh9ny5XYcGvsQjkqD4c4axTGJttPQvbgUW5+hxGQm68M2ysnHFa8f50wdvxgnfDBYNU3OcZ1efHpQwo3hc17mc/X2Of7ogumBigMCGBn0lREOzr3cdkQ8g9cBCBeuEr+v5GYtnR3ChaVrBaLwZxJP0uLfi4HvFcJlzWwVvd7A/m3YsVBmoCq8CmhnwsqN7vOIxC1D8fBkiHr3s9xDWAMScVQCPN3I0DAdfOhklevLpZkvdFTroVrK/Y1kv0xN4XeLw9UbRr+fzefL9U9NYrQZcFfGxXn9PXtbd06cPkQTnAQvO1ZIw6YEic633/iKJ43fYvCebC7pq1NqcG0nfBJjrax2ftmU7QYKzILbuloUti+n6nnqBkbC7Hwr22jcY2O64vfxhmPOQZbzOL8meQqzloxeCshaUwdsFuT9cSelWPVYKtVaWDFGYs2LeiLAQ6QtrlZzX2Ztk08uH8X9haR1VoxphDawhKujLjDcpK0JPzuWUsjRriSxn6M+lj2oTgwUhqMGZlXTEZpqlgNmrqO6vEB7r3cvciAuegr1M4CrsWFnBKg4j613YdHdx4EABkHJi0Bspf2+57u84Ra4GVXRHefz5YWVKcwbKjVejqiKAjg7bGfaC3TUvXhvFxZWJdT5BfHX1uorM22kQZEQAUU8wrjdVaxGPC+Ddi7I7++TqJvaDvE41FsdrNGWnIFu1h0kIUl14gGztFih+RR0qmAkWGAer0gbvTjH/z5jtc1gHP5Q2g/Nrb47Wztv7o7iP+4/u/x3M94KlMuJQB9WnA9L27y29LFJ3VklnA1cK4N0USbIBoQ9aGU15wGhaM04p1TVjP7AyTX4Dxib17gwId8V05EFCrB3MEXVicdN0LC/r8vinw9HLAxTW1ZgJVw1Kbt5bkM5qGgsm71JgJqroWHXBmLDynEtjQsE4xYTx5XQS28uZjbQayH676kci2hN6hJi2GfKGsrEQR6KC+x+HGeK8l2boveEcRIuTc52poxFfDcC6QSpA0TCBjHP9Drz84ybV1BXSEHA9c1K4TtPsTN2Fvgg3QKp2jDFhSHEdFPpMrXg8Ja53w39VfsMpQvFK8KGRVDI+K0+/pOhntJvKlenXMYAM1ezfmFZHgOnIRTedNFZh2t+7nrkRAUelWOL9nsNOpA8fKDfWckC5s/dPNQkYuuFoFl5UTcEoFpYx4Xic0E/zwcsL5OmJ+nqCfMnRm1UsL/OE5gvfimmCvpMn36tpabK1L7hnojJ/oUpgvtNUOmgfHBz0QFIObDLECePjYYArMD+qtEARFOAmX54w2KfJhxThWvFxGPD4eIUpHOvHg1ZoCTwOGH7Vr8UQNdRVYTURzDyuwJDpk1y0ATBdgfDQMZ3eZrAZ9ZvFBg3buL6lGw5LayBBYV+oKwyU53IxrpRi9GWTww2AtNPi5BuIakeYuoR0yur71pxJjAOqaXlsLkN18SgQ4TBut1JEmVgCJTLViTqlV1yXzGT9/OOE8VDxOB6TUcHk6AJdEXakng9EfV5dG/Y0HhVIrUYxA+MaBB96yYqOxiSNaaUO/lPOoDYkB/bDRr9oA1LvqCCMj7HpKWC+7xNgPk7ZQo3rKHNPflveoJvimvMW5TvjLl6/x/fUOv/30Fs/f3kEvCdOnaFPgmyQAPDM4CIdiSEL7lBB7MBx1oLEBeqssLbH+SSXMV9c0qQfEjXsD6ame7XqQSJdURa2G+ThhXTIu84C/z+8wJDdZc9ZCqYqXM9sJwPs7Ah7IifXm8ZoNeSgoyKie7ISeS0ugNObOrdbnNNbCZybbdfc5Wiv1tvAAq1aYI1fie5uVis05OcFgG7plvgZktz76PPXiTBhWRa9oADgdPKoxLxh5wuj6RTsMsMGDt6V4gpFukvfhGRi/ze4onLCq4f/zeICkBnsckZ8Uw7MgXwz5CqSluQbNP9MMcANBuRaXxLTbpHq3lqU0qNnmxaDS3UiX+4T1RNZQOe4MarL1iva8TD0wDM1pOzbIsWLwlhnFEl4KI4F/uL7F0hJ+8/ELPL0csF4GyDkjnRXTB3fK9+0r9uYooEYSwqRUsZaJha3zNs+luFZuAcZn9imU6sZHElRN7QZUQS/T1diP2nyyQyAnYHmjaDnhbz68xzfPD6heNL3MA9pLhhSFOCMoEO5Og7Udopti3PlvM2C4sH2IVOq+dDUMzxXhBMx+8zScsqxs7dU8Mf4piUXsva1BH89bscfZCHqeff20m6Jdl5ns5rgsK12Xc+Yev3vZkNB7rYt7E4TzMDx4G9jXVEZ2YQjPCTqBg4jCOxYVvvnuLX4YKqYDfSyuy0Bn5Q8j7n6vft415GsDGgvoaW4YngvC8A9g/NHGTDbKKZHhcCZLrhVBssaWhe9HBpzGgDto9ssbtopCdvO+xKJk1ob1mlFnBvF19nZQE013lpLw4/WErBVnjx6f64S5ZfwPj1/jw/mI6zJgvgxol4zxh7Q5Rnv8AnCPHj+QYnrNGbUzcWLgAVkV4yd145pI/oO66wXebgBKhBcgip6vbKMFU9QPwPVrxcUNQpdrwqKG31TFN4f7XstbSsL5PDlNNqoLAjvWft0QoL1dIWq4f3PFl3dn/IAT1sexf5+sI8X4kfvW+Ny884EX45xh0Q4Z9rO3vqezcNGmBBuY7OrC/Qf5ABNBOw1ogyJdC4YfLzBVtHd33Xugx6zuJcOC0LZehh/PGEp1un3aCuAA0ICHv6s4fis9sVzuBE9/Jqh3hpdfKeZ3inTNyJeDI7g8l4OWau4UbXXEf3f5NUEMP/vsmiAL949wCIbgxiiNWyu11NRbGk7fNQyfCkwye1ZHkU44H9JiuL5TzO/FPS5oVrt+RfS+Je55bTJMX7AoMz9NwKp4+nTEf379j6iNLdwvnz6ecD5POJ5mnMYVc/0KP8x3yFrxdrji7n7BP3z1BheceC8X3ZJbA47/kHtXhaBDh141f8goi+K3Px7wW/0KXXZlYPHSTbli7vbWcD4251/QP0Fm722bgHZifFHumWeU+wZ9v/T4a54T0thuZADNxMEzwVM94lkbpqngzd0Vjy8HtKeJrIRhkxPa0KDHgrdvzzATPL0c0JbEeeTPcb3jGK73vGbmGbtikTrKG/8PnkWHC/c69fZY0XYtX8lYmT4JDr9nvJxfuI+UI/D0p3zm2/5AQDNf6aod+0RdfqJ4+ROvPxzJLQU4HLtWBmakmk2DV+bUs/HGPnbxcJNg+ihI14TljSC9E+iSYBfSd3Rf1QYwPAoOP7ROy2FbEe8ZqmDV14wBUQOCimyqmwZudbT3OBL5+Azl26qtdaIhTkefsyE/0HXwrAdU2jSjeK+3rkHzamfS1h0WH5cJpSa8XCaUJZGS+q3eiLlNARuA4WqYPpE6N3vFMF2BoK3pyo2ijQym84snuN5WKRxxpQLDpwW6FLTD4OYrNDGQSit3ADAdsJpTzCYmFXpJTGLHCtUVZZmAjwNaNrR7oWOkH1x6VoxP1NquD8aK5Kpc5AfDeFyxmEBL6kgFDzJuXHl2B+K1IT1dieQMO3MoTxij3YpdLqS6nbC1jPCWEjLXjV6ZM9AaizDNmAw0A3KGjMEbDDj8Vr+513j2V85AQaeJ0oSHtE2IeNLZtt9rgCyevI+soujqGqQFkGe2GpmvmWN1VejsFE7XbKkHrlpb7w/MggxRCtQKHCYWeCKg281nm4ae4NrgSUrWXn2LBLdr6iY2R89TQUqGZcoox+yU4W2NmG/Sx0Qa+4/lHqsl/HZ+j5cy4bvLPT5cj3h5OiB/yEizeP9P9Mpn8rncMudzOIZ3nS7isAPn+SWSW85x9krz/WBp0NLYL9CLOLrWXuFGoCcg4kANkqBeEtoqmM8ZswB6LDgcF7SmpHE2IaWnxiawXb9IsBkA1YacG6r3rJRgnTglLFgUbDsW4+iMgpVus2F+0tGlboJGKpvVBru6eOpw4H5rXvHfIVjmtvrdGE1k61keBZDWNsOq2mC7FkI2DrCWbtkOUfxJ2tt6pGuBvqycP6/awuSLYfrIAw3GQyyQrKCr5zO2opxr8gAG+1JpqMS+10s3V/oMwQ0ky91m971z26iok6Icg8LLgKgeDHLPnr3jtELV8HzOWP260iJE6ke6buZUO6I/t4xiiu8u97iWjMenE8rzAJkV+YVtg8ZHp9K7A3Hynn7BIAjNWG8LUwRpIQ2P8xadraDFkM8N+YXruo1MutqUUJMwP6wAVPq52NwQiRuI72tV0Krg5fGAF7AQKQpU79+qqyBdot+poY67M1G8uOW0fM55D5KqQOettQQTN+PZ0qVLYEFwLUAe0cbM59liTu6KFiHBaMa5ffG2b9PUk1SZd8XKPdNGZUt618L3WNgKSwAW/PY/H+2k3NwtTKXiZ9jmzIs7U2K/3PAq8L0LSrMiSwA+DlhzRrlL0KGhXjPbjHxSTD/QZGV8rp2G2QbF8Fww/OCmLAenaLsbfB1pzKMFwBmktxZj/XNUOsoa+nOv7gReTwZ7KNCx4nRakJRuw0kbPr4ccb2MsOIdI5R9T1NqjE8W4DyOWD3Tv9QRlzrgtz++xfzDsY+dXpTF+QUdsYv+5ur7qyWwXYg6Q6F7EnAPyC++Byx2E3dpNTdpMneVFho4uYRCiiEVw/HqsVnOWN5tz80UuOKA5ZhpK6CN/Z+fBiLdnvgjscgFp1BDaZA1DAVfnC54N13wsox4BvfzeKUrKZlpNgwv7UYyJcZ9qw0J5WFgwT46FAwsouTr1v6vjQKoYL3PsCzcU58uaKcD1ncTA/vzyhg3CeDO3+E83QGMpzNbbN2dgPdvPtP3Hn4/09zKON+vPz/h6c8z2mSYv2BhhLRzj+m8dVAgrOKOuDIL0g8DLAHzlxU2NtLOZ/Fn6gioouuqAQd6ndXCBFFw+g7I54I2KPLR2xK6TC90y5SNcMzHR36vnowyj+LXmwxfvXmBiuH3VbFeM/A8oH07sZAuTIjaS0a5Jpz9ml7mEd8/3+H+MONXP/sbvMlXfPXwFb7x9yg5bxrlVTD9yFY284NgfSN9zoZRl66KdGUyW4/A9avWJUxRgCRYQZCDLAU33T0a8pcXrB8P0I+ZsrzEzgTt6AXwdwt+9dVHvCwDfvzmDVAUTQ0yyH6rRStKSYBf+zBUvDlc8XyZkM8KWTnvLFGyhdFwOC34j778DktN+PflZ7g26TrgfYvHeuT5VR+lJ/8RK4ezepxfw9UwPLGA19whPNqUiTF2G58bDj9y7R5/bNDV8PHfJMw/r8hPiuPvBelqPXFOqxHkqNz36vo/VpLbe4J6xbXS+KNFguujzwMk3VBR2qCwTHrm8TsGRcsbAH2wdpvLgq1a6IY4UptX+Q1o4cyoHTkGwO+v/nd8bWWluR966u/lwX9oVm1wcwsFoKR8AQCKQq/qDax5f7oIGhRrZpmnVHVRODCvNFtZzgMwJwwXolppIWobIn+TTYephYjI3kAi+i7iYrCP7tD2ZF7158S5Mbfx2a9L9aDRDwo/HPtYVqIqWr2JdxbUMaHogOeisHNm8NcE7ZJu6OVS0ROmbriiWxC0zhl2TT241SKd7pDcJTt0p6Hx4zVGQA4+X6/US85EALKjlK+D351BFACiWWawBQBqR8HgqB/gzz7oQ/vfb7tu05og4+7z1hWwTOOUPU0OvF4R6zRONsRW9qK7wg0LAv3mxpFmBozDM5N/bopuTlE8+IvxeE0hDWRvj/yJm6RFGw6gI7kxB6Tx2dWD6w/HipTpiDvmig9r2lDJ1SdhM1gzPJ4P+NvxPT4sR3xcT5hbwm9f3uFaMj6+HKnVeRr8AAB0jrl2G8THQbqv5JrTvwLNlsp1oW45n3xc0txYAIjDvjanckYRQt3YQXpfbZh1Slz75Mi2O5e3OuB8ZQWzG2Os6oF4PGNsdGXlQNaqmK8Dm8qHG2doM1dzNJf6KF0YCHVKcp9rdpOsSiBdSViYCRTNE1I6L+tnCFW8bOesLaXcFmx8jlhQk/dnRdC+c9oopPvfazst++49xRjQmT+f6BMbFcbmRkXpyuQ2vxjGl9bXvwlbRAXVvie104jX7WUs64aEA25O5EFuuKd7sETnZKDUV/cJIKWG5K7Z5c6ZFj4X5ZpQquBju8Pz+YDDtOL5NKE0xeN1wrpmlE8j8mPi/Zy3Pqjq7RZMN9bBvmAb1Lt0BfIknXUTFWp6LZg3vmfxJtx+xJkuNwaIlWuhrx2vvtCYSVC/y2g50zRK4SYx3PfFZQGWger7ton1AG8/zyMhaEuCXJL3ksXOUGRHS/Z5TDQksbAoAl1rd8QOLwRp1umZfIhbEaM7J8c+60ybfXLRf9bnpRR/75TYW9eZXLIr5ujFHfWC5bVECxf/vgelIRFR9Xsz6ftNfjFMP5IJtT40JsVtIAt2pT47naXvc+naqDmPfvW19VZK2717PWFpwBOvIz8vu8QmAWgYmmxGSOL0PafaS2pIueLheMWgrZtIAoB5EBzoalkyWk2wiWZq53XsTIXfPb/FZc2Yn6auV00LY51AtUi5pDeA9GIWJ04+c/KkiyBfPclJ3P/zBb0A9Np7IrxDYv1GCzgAvUjYBunvNXySzc03ATIrWhuA3NCyyyMu/P06MKFVNwitJaFcuYfWojDL+IAjzuuAp/PkPgt8jsnp3i0JxA1w+nxw0AWNkov8vDFPTAB4iy+epdWnLOdzfgH3tLV2Xw29EmXWawFKo9fEcejzXfoaJ6AkdyfgeICNGW23Zy9vMoYnMgLKKWN9SCgHJhDRXcNcdx8J7vDCxKI504sILNvhJWea5CftSLU0sNjlbYLCzTv6wcZ+qIUoHswZhH927O04Yd7qCDQcKkft2tWWqcEOA1YpArYHZCL54YUFmL3EjrTyLS7VM79X24inS4ZOFcfTgssy4P/1/R9DxfDD8wm1JBzuFtx/9YTzPOLl2zvIwiLp/EAPofW0Jbhcq/vz3pPCA5/x8JSRLq5NfZ/7fIj4ywSYPgouf3eH4yfB6fe87uXTyHPCTTLX6wF/d/kKKIL8mLh2cwOGhmWmNtpM2Kqn79uGeR7wuw9vsS4Z9U292fORDDpUiADP64TnZcL5+xPSU0K+0lke5q2lADdD5TouB58bGQ4moMdNpUiXGXWjNSNdO18JiD39yQRphukjc6z5DfPB9d5jsa5dJqDXdm2tTIAyUQv8z3n9CyS5eQvOKilCBgYp7KXXnMqksCk5ukFqYZ1YkZweGw4fDPPb1PUOaUbvqwrQXKYfOHMjxW3hYSZroQGQKuzhdNOnjD3lyoZiAJDrwn8PTmOqgK7eoyxt/Hg7ECUWte7EKgLIQrrdnoKTLkxSShOsq2DNA67TyACi8mDRx4x0JUU5X3hPd99u1d1uyjUItBqGSyOdZdhpnpohXwXjEw+G4YUHdJobdC5ox4zlzdALAtQULUCp0MMAaZN/ne+d5oQ0iDdmNpSjQquiHIClZNQj6U3sb4yeKHNz56RrI/r10f6clSisiraw3VE6R3Lrm90ZvOaFWhUY0JxCTkt9D4Yi6XRkXoaBh8M4sBVUPGczoDpyC6DTNf1nBHBHU09UU+KzD3Od2mDPz2iXKx2axwFmW5IrOUF05HWUwpYvtVGj2yOjCMDY/iYCvrQSaRpeGuoUFd2gHXIDTPOGbh8+1NskzosyaI3jEdRNN5SylPi4I5kZBkSvVDGDtQZZOWYYkyfA6BTIcmqwQ8N0KBiHgq/uX3DMK57OE6qNTrfxYDhxDZ4/HvG3JSFnUnyXkvHy4Uh6jjsqTh/ZzJ0tL9BpSFHd1sINPV/94PaDlmYqPpZeOIl+2MO5bLKHVy9ZK3RX5bas0EMiYnFufhipU/dZWGgJKPfsv8bPSqQHnVgwEkexLYFIlhqpZoKubWnzzrzH+Ds6+xx3k4XhpWL8xKq8zHWb16836tfJqG6JrDit3q4zn3XOkPFAKvN6i+Kjlp4QNy88YpoA3Wl0d8Zq/dUaAzIlHboXB3daMl2bH3bamRY0n2KQN5w3HT4+cKzn96SrDY+c48O54fDDSnpf9At3PRp7Q9KcT1xTqS8ze2eH4ZU06LO3/hqHTXc+jaT0OfJF7ZDcnCUcZjqFjrnicLdgVkM9Z0jJNAB6UmqrP2VUNTzeNby8mQAjAwBFcfiHjOkjoAtlFwzKIxEFot8p55EhX1ovZoT+0HQLknlh/JMuDWmuLDgekp8xhVIOR+sp88mQZuzzagaxEVLVi4mKfDaMn+B0M+1apjqxeBsJdxTbwnmTz9z/DvodgLYmyDVh+KjdqDCKVmnmmMc87EYzU2JiUJzN1RrPpNZg15m0eaVJWvfz8ARXALJR3G+h62+DtRJeAy32xwbMC/e8wwQbBya9pXJNxDC/nCHDCdHqLV8qx8CL9rpU6HVFtINTjRhhG57Dh4Z8oXFfG7mf54/qWkeO3/Di+99qyE8L9Lxy/obGd5/k7tZvuhTkR9eiPjuDQ+/4Pe8M1kYlCqhEcdnGkP4A01Twy7tHjKliqQlLywyCZ1YSadLDwnUVYBGiuk/ziL/HO7wsI77//RvINSE/s0BLNh1vrDvB7ieL6+m0AtZILUwXwfTBcPzQuNcetmQPAMaXhvxSXQ/tZ0zolFdDqg3rKfP34MV5YyJURwANOH5LDeD8pQCjQZ691cyosJGt5fKLsiB5xyLAdKBB6Ms84nlJsCY00ZSE5TLgyTapXJoF0wcmeLqYU3GF534whJobkV4MOi9bP+iRJnj1kBAdIqItWrzUkztzOQgApJfZ2WBcL/XhDZZ3I3TlXO0UaQB2moCU3EBtQNvRlS9fKUZkpLnh8vWAxz9VDM/AF/8d0d2P/9ER1y+lP8u0AIcPHOPrF0AZ2AMZ7xbU5wHDY/K2RFtxrCX+3vBMA7HT94xpX36RO9040MzpkYW8xz9RzF8QBR0/MRY+fOR1P/1R6mAX5zlw+bl1lpcugnrfkN4saEVx/uHEH8y29aWOAtDUgFUwfqDczz5lWAbmLyrsuOA6D3j67RvIKmx7OTb88uc/4P/0x/83/NfnP8b/5cP/CmLqZoUsCqx3BITyCwu54yO6ERMMWO8F6YGGguNvBhopjYKXX0TxleMxPnO/PP2D4fgNcPhUcPzdpbOYTBUvf3aP63t1pgTjejJBgOeHBLlbsZ4HyHPmPj2Y/80e1fVpQJsn2KHh8PUFZsD84xEyKzAY8kj54cfrER/PRxz/dsDhR285lJmwr28IKo4uOTMFlgdBPXIsAGNRz2jUK+bFtqYe61fe5+9noBl+/J+c8PhvgMO3ip//Py9og+L3/9sJ1581PoOhoR7BfdVbW0YbPS2G4q2n6vA/VpLrG5IF0hSUo6AiRXDeBOYZvZRGlMXt4HtAMhuGZx4WWrBRmWyjtkXr0r0Jj7WttYAFta7admBG/7A4IJPhtetiZyP25FCI4mSDDBWicBOVhKAXd0pi/LxxQ22iwAq0WVkRb4A0VjaD0hCaq977MLTDsqFdTJI4RrdtI8KgwBPF4tS+FkGoV7p/ynDjs1ZPgahZb5fABSto5zB98c9Wg0TLoV1hOYy5boIkA51GFyb/afEKoOupiVLYVqzAdrgFytURudfzLdDefQDuiZ8MQ6di7t+T0yV2Td8I9n1kAUDC4CTxz55zs9OKIeh01m71L/uf3X+5MahmIAiIN5E33RqoczyCvhmV7c+fVS/WqJe7g6Lv9w7AHXLlNmF6rXuLLzfOXWs0SWkmWGtC9jYB3aAj5rmbnGFWLDpg1Yw5j2hFIC+pIxhaqbtOV65ZasX9PnsrBXQNTp8zFsYetl2fV/SlkNYemtIYnzDgkT06GvtPIaqufj8pG+oikASuteivJzHXgWbctHtAK8ANFBcf4UYJkdiH87oum8NumCzQaCV0Z22be68Q0b2Z2Wdzar8eAoWNZ9tZBLEm2udrxxrQtCPakQTLPzZPXr932xVwWvMCiiCMR5hkeVJaDd1QKoF6rRYMDk8Cfb8S5c/GuBLZ2+h1sZY6kvdT9/16nPw5hc9CL0DER7nRGAr7draipN+GIU6wiMRbndSEYixaalB852AWOCPFPyv6xEZ7CEvo+yt9I7Z52/KtLCeemVZ/fhVAQjel2c9vtl/ZoXRCXaAuXnzxYoyFkceODQUT1wZzQNrOryZ6+0p1RtCqMNf/AiBtcXZmzgw3DrpdH5u5Es83Ka/22tdzOSn3LUdq+7rIewNCFqG5n8pn7yfe67xT/fefVW5ZOpYzE+fkMUMUarzgTER/l9HWQHLhrJMo8jKwz+etOC9l2y54FvtnJmVy621gOL18LuxQ6hs6fkq973kbM3sP+7oJCVNSbI7eK53gy5hQLEGb4WWdsLTUkS5xmjkA0oHVUK8ZFwBzapjXAYv7aOis3uLH9/SV66FhN5fA47TP/V4bpvFenm03Djyrtrnmz9mYQDLWcz2+AyQpN6RF+3MJrar6/Iz3kSLUevf9SKjwCddygcehlKOc5xGLO8+iCcw8AW/gmVfEfTQ2NHJPqw6Eqt+H+TPLvuhj7pn1cyx8agzY2EoOQsg4oKUt5hD1hVlZCNO1uUeHx0vRfio+S4TFmbbN85sWNTdIu1+r7J6jf7k6pZTvz73bvh87ndk80RLcxs0dqHFGFlts+XpJoOwjUSoh5uhniZgAN69gh4RPQDBTrPLfRPcSrFAeZ2rQI2UoaxPUmOcX7a7LEbPLAqSr4noeu+yu338VPF4P+G/Ov8ZfPn8FCRZi292TF7HqaFDd5rLtHnt9pgN5y0x6+/wz3P68oMfyANDGxCJlI9WXniNGAy43aq0HyhMsN2hqZHl1uST/pLEhDwVznSAXMnDW1S8uuV4fQFkTzIAnmXC9jLg7szBXB/Pwd5NGdoTY0Nd5Ft8HHVuqE6+NbNgwU4t7084+4UOm3t6ydjZAL/zu5KrRB5wMEOufc8Ma+idef3gLoaAJNU8kc0KYPFmSjlrYkCBj5sZ1WajvOsRGwD/Tp4rpY4GpoNxRj7GZ79CAAQIUb6VQpwSUAZgGAK4ZCVAtWgxEUpIT2sORB1cYG+0OFOoWucmJkSqMbzLWhwZ9mOlgdhlgjgSVE4Ob/OxVR0OnRQJ0RMsvMUjoB1IY5owvzQ1GiGJGDz6pQF65uetcbyg8+x6JQQNIl5VVHxFAgTRXN27yzbCRhoXMw1xXPqeWidb0A6VuG/H0iZvR+OiC8zuKzi0Jildxg0ZdDsZq2f5lgBTF8Em7MRYNpoDpE1H4dHUE+rxAP515AES1PjbhSCqjQBF/Z7BwcpnRqYwA7HQA8hFymWGX66ZJ3CcSkRgvzgDYUy6nkcWXYaChlC3AD34py3JrQNqsI8dStX9WuLt2uqkzF2CC4alA14Rw5AbQCxLBYOgFB1/A4c4cKK4Erc9RtEApLCnw5h6dvgxs7ZJUiYak/Q3428zA8ESTpfWYeyD0pBPWOXsRKg556Qd9vmSYkisXzp5p9vl7gTviUXdBXSrvM/RWvQgjuwCvX1SMMfrP6VJ6wYxj6q2TgD5vLLnJncX4VeqcVlLTTQW6pu7sV12bIk1Rl+2QbitPcHMqd2/4LmDRKtowuENwdhYHHdKJZAxPnO/jc8PwVDeashfdZC1bQhrPrDbYstwE/33O7lgKkjPR+lgfQC/u2LyQSh9zRIQIMEDN9s3DF2cfbGNvh4Ha81hTQRsOFkwwLEKakljd2ucbuhiyBLLJsUsLA17KKhwNjiAxdMQ+HnItSOfr7eeLUFfpxUBT9iIUbbviWKyPcbvehq4vSwvRZIBHzvlMVkt9HJGeSDseH8ULf/67Rdw4AzDN6JoxL0ISwSHrBoj1akiXirQ26pE8uFI309K5QEJDPqZOX4UB6Vq8ir+ZkYWeLoo4+3WgzTi3s/b9P59XlNPQg5KWGCC2rGTxXhmctIG6yTaAbWaGBlkVemUyEEXctGztYSwB6SyYPjDhGZ6jaAXX5IJrdZ/YBtU8J9iYN6d/M87lnIFphB0nUtCf/OA8HkibLxUyL9SLH0Ym/bEPxtwwI5urVia0ztARVWBe0J5f0Oq1z9H6/g4yHvsz4/nM/QIA6pRQ7gcaBZUGuI+FZaKnYUKlhZKhfMXmtrsL/JM7BwNAuaOhVMtMhKQwabEkWB+otxw/la2F0Gng8z/R32R5N6IeqFNLV6Ij0w9XtKxY77xdHxRzG3Etio9vjkja8M2nByxLpk7YBDILxh+1Iy6mQHtSmJJqPfu6OT5xDnQ5kp8DMNvMpiKZrxGTbDFNGGp12dQKDE8cjDYowp21HJUOvx8XJnLnZfPWUEE6Z6TLCBsU6x3HfrgAbSHiVCYm4Pns1+mF+XBM7/t4Avfuq2KdJ6yfpm0fB/oeH0luupB1l1Yv1q5c62khnTw/1550A0xWqKmmxlaKIT/NEJ9XYmQqLl8eGMz7zxx/cwU+PgFfvIU9TLBEbbaYQWePmdeK6Xu24pLLDMsJ5esH1ClBa6Jk4WVF+u4TbL30eT49cn5dv+AZcPiRz259k2CS2TJt4rNJTim/fiXOIOT/v/krw8Pfr7h+OeDjv3JqeITuHgeGcSrEsJ4UaSCQcfhgWN6w7Ys0+Lwn6js+MmkZn52x6AaUurKt4PBsGJ8cpX8n/j3OueWcsJyjUERmyrs/esGv3zzix8sJT9cJj9/c4+GvWPi/fmloJ7IRhjP3t3I9sG3c+wI7GeAeBT/85j3+z3/5v0eaBccP0pNawDXZPwrWB+D8R9W/xnh/vSfSqyvw5r8d0DJw/qOGy59UjN9kHL53dDmDoJnrk2MNLfeKcjiwGDy3LgWYPlXUMWN5w7xj+bpCDhWnhysOI30llqHRY+GJSPWvvvqIP3vzA/6r3/0xLs8P0KsCLweujy8W5IeC9XECPk4oCXgcGvJjwv3fVxy/W7tHwfqQcH2vNI06MmnPF57xhx8Nh4/Vz4iGOip++J8NmN8b1Nl/wxmYnBnw/KuRBpAnwfDI5/jyKxaOpw9kfsxfJCxviQAnl3Uub8j6vf/7gsPvz1i/OMB0CBzrP/j6w5FcAIEaRCsV8X/TYt6TzAbXzm4JppStggEwCEjX6lSuETL6wy6O+M2VlKZRe7ATCOi20WCrhEa1uDUv47gOTbHtTLtAs6M5DZuO8MAg0AywVV2jt5UUtYIVG3jlyRP27O7BwHbwhWlOvhrSNVCd3bVC+rjQhY1j1ysa1bxKuP2urJXBhCexRM3hG/Uu+YyA+RVC1Cl2XnkPWkmgEcG3L0dPwv3eowqFsFbvc0GAVUgBd+0O9U2uwbk6tXrdmcv0xI0V1e29IgHcfSkpY4gI8GsjdS36wQ4JMutGyXyNiOHVuAAbWtDpcdT72r5/qMWgYrvW3XXeJNI3jAbOnXC8xpXULPO+eFFk6IFP2yEGwIbmtt1n+fMMXVf/7CE0H14IkW1u71Gv3prE4LbuAh2BuioagFkzSjIWdKpXRF1LHb0W4fbyN619vOVGujKpybO5cYBX8s22ZO8zDZZsGsOIXyOgt908j1f0NgaYIJpQH42oOjpSHKZErtHVRaDJkVzwUA1K6/7AZrsgT2538y8o+TBxWrbPc5dXEMlxdM+Lc3HPUQy4KbBFESde+4KhOB0unvEemf3H9CitcR8W4XvvnZX7FOLnCpyxcHOD/Ydu/71DmTpDJr7nez2qMQEJJDPmMrZqfRT6uk51V+ntt2a2tdAw0vy6NvOmGKKvZba7dbfb03zp9v3Z2+aYG4rJrM6u2ZyR+x64RmAPajr3Hyhca+rrgjdq25ooBm2NJke2FWwiaJVESjEMsIGMJlldqjGSfmaQDSUKhkgUzzTmRIN5lVwr6fCatUtwFNHqbUu4sKOXyq6yzm9Jn+eBxqjvAy2Tmphmap2DmRFjgXjm/az3uVZJv/tsfvnzjES9G7A5owNJvVhnP3l2BeMj1pLFOrFXhexab5BcmtTpFi8YPDH2PeZA535JPk/881DCA2B7pqkFwokuLYo9WKM9njHAb3DtbwJMCOVZZkG/o2pdb8zxaWDxndRQgWZDtNiCO4vzjOX8TTPQZsW1ZKgYlnlAvaZenFM3O4u1YcI9LLaBQKzS7Gtn2sU3sbfa7f4Tex2LMm1j5wAwb6PG5Hj7hiVB3WlMpTSO/7LSZDIpUAERoRTLMuQIjxkNGoaZ/rjVFRqRHDDo8iWjMZ4c25Ch8LlKv2/s7pNMnDjXsDvrQuu/FbY4qdAlb21Q6E4DTqTZYCO/R0daRYqLaCwEhZ+KqXDtOzNOZt8Xwjck6VaUTUpJnRd6umQL3Mfs6O+3i0HjvIv2PHGux9e2oi5YrP7uBW14gFZF3bE+yGrYXbcnq6E5pZ+Io3ee2Im4w+7V/WSupIDXUampti2eGM5kga6nkD/Gvry10wQAyYIhNdznGZdhwOJZOGWO0tdT9w9YgOTFrQLfS53hoIsb8YWGuKHT87XyPevB2WadwbgVC7XQgLCOHBs5VPayj22GXoxbDO1jWZV6VRaWyKBgrLztB5YATBVprFDlvq5qUG1oXrAWAw3n0orkLYVizEjmMmRHvNPsz22hDjdfWVTVNcZMkI5kj0T/9TgXkgOPZIBW6JIgbeC5pbvWiQ6usF2lbIUoEJFlksz3q13HLd3EqiUAXlQU7zKyZ379h17/MkmuKKBGNOEwbRQg5cYusm2gUIUdRwTqlVxgH5XsgLSZBInrNjdEE80wflr8MG098BUApt6iQADcT5Apc1Cui2+YBrHKnrq7A08KH6KuDeNjRZoVy6JexRdc0gmWDNl55+lMkX26AtNHP8A8OC5HoI6sQh0+BvLMqmUEBOnSMDyFdtSHxU0uxA9bqU7j3R3saZWO2HYqVdBjqkHXV0gNsAXJrUGGjHYYAeVhYwIk1+ZSE0NdlK5sD9Gy8PLi8EUcMAI7NLZNEjDxFxDOboL8lEhlcHMKreg6zJ7YJC8eDInaWpGusZXr3FE6AJCYT0np0Cl0M5YdMiVCsxwbSUMTT1zlQgGTeXVfImDeB+qR9OZEROE1sggAmoC0S4bdDOWmbYUH57IWYMhQ5cac3LRJ58L5n+iQCoAtsJqh3I8oLqVWd1ImHcoDX080zNsFdQbCOGwJtyMmnca9o+ij8D1EGdgNT6VTwNDUqfQjWjbUw4iagPHshhsrq+RSraO1MZd5qMODJ9toRi0OsIpwO75J0lT4HHfz/CYI7j8HdNlDD2B3yWHcozKpixZS8BZPWlgYs8G1y24yZlkgRlRl+qQYXqy3mqGRC80PQiMCp7TJInQpDFqrsaCVz0Cn/q80WUhzw/C4Ir2sW7GihPGUJ+lBpSyFAboKoHkLdEv4Dezm5P755szfvc6ANcg4QsZxmxMR8IsCR9ezny+wWrvmFXtDnucLRMa+b9i6snhwd8SevmkpAZMX1a4rtbNmrj/LW9/RzIORB7XrzIOh4smFBuIn0vW4OE78/yFvc8CYPMniUoRoGxfO60NGO0xAEmexsOWHFlaiIXTkNIxE5wlsYfyoGJ5cE/+8uTf2Q1SY1OVzAxQoRyaPUWjUhfMcKmjRLm+mprONdM3leva5J0LdcGlI68x56fsBswnhmg9dX3hM7Gtz8SiicLU07h1Xoj02KNLMZ1ChQCKyAkh3wt0HfXGfNrJFDSpIVY19vwDZCwD5YpgemxfInKHh/gra2zgB5vulLAITJpn6VD4v2ABkpFzXrTBjxjMgUGAv6OkL0dhg8dDJX2+lJ8mrVTFfU4KcjiwoOJgrQZMHmOy5FrwdNxdmqdSLtzeJSc2FbJJ8puawebEyPATEz0kiuI30W6AXW0wBG7UXENooWN4QrR2eWfhN58JOAzsEf+vnDqRJO4PAkmD++aknHMOF53Fa6LXx3eEtoIC8JO8h7ZIBD+ClAPmT9X0MxqCznKQ/Z6nA+Gl77sNLRdfNypbspNmoIRc6mxvgya5BVvMCiWB+xzM+ikhkdTkTYMqQgS14+rlXoijAGIPvuZ3NuiopyEnYDU2xtejKcC2l7+UDkL6acTrNuFwHlOtAycmcgAqki1Miz9I9JMLsc1/sau7CLd4+SHzt1ENGGxVprhg+zkxqkni8weJW8iKAJUG6uIHcYYB88Q4AkD+eSVE/kLrf6cCDouURJiMs33MuXHi22OBMjpAt7VprtUxQx2RLMvIZuP/tAjHDp784Yn3L38tXcbR9o9gDjGcf/+1b1FEwfuK8b5MnH8q5EK3SqMukRryPGTbDqSgCT58aWZvxKHNCObj57AP/Hp7ZagZInB+D6zQTUI+GNkZxhHvYt9+9waeXI66PE+Q5YzhL70WeX9zR242zxBN1aUD+yJzh8B2T0/VesLw11G4u5ntGj9UZ+9//de4yj/k9tl7EPt5pBh7+kmwdXXyfdTOpquiFn3rYDLoicV80il4+71fg+L2hfRSsjxNaBq73R5xHMs1ssG1dFMHf/Pe/wF/Lzzso1UagHnl+YUm4FEV6ShgeY4PnZ1zfJdTpgPFjQX4p1IBfuebqQdDqVpxY7xSXL6fOZomxmb4nEttGYFXBo5vxhvt6zVtBiXPEpZvNMLwAD3/HHrvLGy8UemHj+VcZL798j3ISotrLtg/8U68/PMn1akjXxw6Z6Oo+qUXDpoeVjdrpGzm1Kl4FSoJoicCgqPJnBETxaoOeV8hrBCTuxhNmbpjJ3emqf17jhh7VMA+SLRxaG/trprnBNPdKbz/M4jBxB9x8IcV609wAc0t+3ewXyHYtodcxp2Kwvy8A7J2g+SbWA7pw4bsZbk8GzJs3m4ij5/XWoXJPw10LsJabiiPAoAirF2eOeUtkm7HqG3KofZLbgNBYxMJiE3JPeH0jS5dARfx+2rZJ9KQ5aHrRg9NNOPRspFzukzS/JyYr/ixf0S9JAVK+nyMAtm/tw3f/bEz7XEgj2+5EIrVHDkQ6KkaKXdqSLGALxry/Kce2EJmQrRAD4MZsROfCAPiQufN6xZdFl7oldDcBHLagzlsEsQpOM5ZAxpkg6M29SGuwAtLdqmEYFZYMdWb1jPQx6bSUoB7nCzoLQYshv1Ska0UbE/u/GgsZe2Od0FtLs61HdfTr3Q9IcZd03Y13PKouYLEbVKjPh+QJrgbiw3HpLXD2zygSJQBWFToouhFeAlpKKKeYSzyMkBut/NdE9NrYKqCjAMaNOs0MZAMByBcW8NJlpebKKbayR5fM3AXZk17ddNWmcGSpcA7vHGr7/AoTtQLY7P1DT8de4IHQPArrss1bVUCv3PN+qqhwmd14SokIXK4072mHnUaZSZoNiT2oa4V4tbm7cIu7549xSHtCOFcPhtGNWAId49pWJqDjwH3GW1/JWoGdpjUSRYPvb54ImSeLslZoa0gz/3+4BP0XbqrhhirKOT68WJdV7I2jWI1ma5zhae2oGxFN6wgN0UzjpA2GzVqhqqh+jnT6rgIG9UR2heSGtn8U/X4roj3aT+mPezK2f+/SnA7vbbVM2dMSzjpaQ2snfb++qYir0/OLwAo112GUEr4B+UIpwn4NpGvlubxjtVh25D08BsIgEsBnPcldRyvOuOgMrFI4z70NVu8Pvq6cw0kZbe+c5cM8qo+XUoIiO5dhCZaQF9qCdloOpJRG7+12yqgHav7y2VHqhQmOjN7yxwNwMkD8qLhSkhNrOdA9S74WKmnm6x1R1eP3FXqtLFLUSgSzI438R1al3MXRwjoplgfd9MG+T2vh3Fg+DLBkXT/dpSeOTGoh3Tyt1v9/uY/3M2en+J6/hl9H2zFvtmRXnWlng6J6YB7jHIh3y6kbSGU0RAeBNLPdm2X6mfTE+aosVnWWj/Skueu+AUC0O/RaAgpka1kybbp4GxrevTnjlw+P+P3zAz4CqGtC80SZ6DWToeHZ+nOj/hddd971xNGVwed7uRfUyVk955Xr3Ftpxs+j+tD4PcW+Bz1AzjPk+QIZMszYFxgjk93mUjW2j0rQtWF6mknjP00wy7wWVdyw4QItFDgjDy6zo2O36RHtVNGu2RF864ZIUfhYHhTnr5Vz4QwAhrWB7Wt8bOlLwM+pjtYl2Yz3dI59invr8NIwfJrZz9xli21k4adO6O1qdKnQ0RkXQqffevRkMlr0wNfK04DrJWP46Mmb0WRPbANcWLQwtthR3l9275njd4bj9xXPv0qYv/DnHO3UPIYNrw5dDYfveO/nXwjKvX0GCGkB7r4hq2E9eYskLzKG1tgqNbbl5MmzF47Ygs4T5wxM3wvu3fRtfGKiv7xl4lmOpDFDN9f86XcJ+QLM7w3ru8Y93R2f4YzUdN2KDxG7lBMR9XxRyCNbYKaV85s5WXSGMSwPgsvP+f913KSl4+NWSG0DWaDoz4Ab7baG4FIi7gfDc0F6WbF8cUDLQy9EAMD8hWC955jUg6HO+7j+H3/9iyC57NnIq5Zl9UDcTSQigPWkylQZnHSKlB8yFb7RsbwcbVN+0jzJX6yi7uh43bwpTu/tM/YBguW0ISN+0KYPZ1biT+zlN7hmpBTdaB0jAEFvg9HNFGKv9eBWKs0W2uAb+pkPIy0NYSp0k9w6khqbnlRz86QNHdkHPpI8CX1NQTbbgocd8tNNwQDoUjY0OJLGrF4ZLAwyTzTXispl8l6IdQTWB9A8oAKyxEw1p/8w4Q3ROINGjtNwad5SxJw247S9cAoGDy0LGm7OPWmEKhHLrKRnLW3reZwUcnDX2LkgRSsg1+5y7qVeWOl0edeporqOsdH4AeUnAv8Y2xABBDV4R6vscylnT0A8OK1tS0x38y0KGMF4EC+w9Gbx+7n7ap7wQWp/pr0YEu678fORBMV1AAw44QEwSIdJo3SUndorHlL5bH2eDxfOS3V35BT6wjUiMS9gqXTtYZijoDGwJs3fn7UnNoFWYzcnu6t2yAKAW6Om3XhIM9heW+3Ba5/7UYyI+dVan5/5me6p6wM1VFtgxrVMyi+prfwFANF+Jeg0UeV3lCtFMHitRCyj/ZW7wHcUd38fYXQGELmN+QYAolvS2pggSRR/gp4Wxnr+e52uHFO3cv/FPPs64Jq5MZyKV7AZcgIOI1tTvBrHfZIec5FU712LKqdRunfFdi2ZbdX2FFGp3tItCWmQsiWrvTga+xSwoxneIsBc3+iJFmlpZDDUg3YK5vgJrtPjYTt+ovYr6HFE9pyVkAHNtj1H+DMX19263CD05VJiTISsEteIoxGBlrrt51Ds+r8G9T4KMm1jGw2R4LnWtDNbwEJspbN+Z3cMGdIa0vMCTQpdOb8tsYSuSZCSoToLwwbARgPGDTHcnjVu6IPUJPr+Xxopm9VRx3geDTcFK4l78aIcv/jq7BJhYSrmtrxa6z1xTluRyxqQBt/HZWNDxLh1GYoCebpBwk0Eelm9bYtSK+w0VNNNRhRmVNIMbUg0DawNshosDSw2CxxZjQIKAGhPkGJObL4X6Enp4IlznbwH8iH1YpA+syAQ86iNiftUQ993h7NsmnQfxyioj488L4J1Eg7+NLPx4FHcaCgzUAXQXW7j2QO+t3tyLmA8JEBnPIhtfZyjHZAu9Aepx4xyTIAwuQHgTD3z+Ea2AjxifBzgOC9oh4x2GrfiDIeXTKBiGNZC9+671GnfYtL3ZSYlgrYmPF8mfByOqE2Qc0NrW0Ie6HbXl3rw34uW60bzFdfCA43tfsyQXxKkJMjaYMehz1uBFzh27A9L9JQRMwyXtfvU2Ju7rYCXBPU4oA1Kb4nrClm1zykJBosn2ibCGGYnH9PFUN46Q8kTjzoKyj2dmsePhvr3Q0cQTQV19ORk8t/Jm17WlAn/+MQ4YPG2OuH4S5MrePcCL7jkeF6OLDc6vad5ZP/ggclajdad3jZneSt4+tMD2iBYT7wWSusEdbLedz7Nnmyf1ZM8dGZlULTV6bCBzJsYzasS0CaaSD3+BfD45xnDC3D/N0yy61E6KiuViOh6Lz2ZNQXKvaFObH2DBOiilGoFyAMmeCyGE0wgY8A6Qh3jN3/p68ljlECF++dGUVIcNCssCrSjP/PG31neGdYH/pxe/dx8ToB6f1w11KNhfrd5qmgB9AO37uUhoeXjxmZQrwLaVvgaXoD6iJ7/UIIhvr698O+FsEBp1ddQgAlamA88/yKhjYLxMWN8HlEmnwu+p0b3luGZ/09D238kVn/1+pehK4ebK0Aa0R7lCifRQGBygukIgdIUQHzDWxsQlFlgcwvu1VifWLsN3YZEOli8fFLz35tGYE/fAHDTW9JE2GD+ux8Ba0jv30GPEwPwMmCYFGlJ3SWtZbbbyRe72eDjAB0fW0d/60Tqb7QOAdArxm1Im+YQDFYCkRPlYhSQ/hPoF9GBArOE0Jx2bfI+IMhpS2QBCJyC5UGxiPAZqaIdB7Qp8VB9WTyYnJigL2ArTm0QUyz3gvm9wQawrUwFqRKuL5VyWynOVyNtc2lOO3GKRlDPruWWWgsfy0hAS2W1fhLYcUDLivzjC+QaPRQYNNmJbjJyvhLdHYctcZh8nNxJU85X2LVAUoJNIwOrlzNsnr3arx4ovBpTT2itVkB9/GuDXa8MYO9OGyK9678L+B6wO7gA0JhNBObaL43k1nV5+ypwJCO2RyncV0Yva79nG5nkiidAQf/dsx4YiNIQLlWDXbRT7pq3NcoXcTQjaIiegHd92aa3tNIgxQ/kg6PsK9uf8Jp9/KLdTCzPtUKu622xydFOLWUzHtmP//5/9wZsYeLkc3r7EC9GxNxvDQIFUIFWkc9Orz3eEa2Ja/WKLWCoVWCVmidk6ivboBAhQsID1LqDaL6Eodrajd9iH5TzdSuw7F6iyjlbKuxy3ZJUFS7AoKivhQM6eiurZeGzf9UbGrWSAivCRMBlDOafLePA/qHNdYrtdu9opwNsClTVabUvy442+SrJ9cQlWBYAyEJYSamDksJMcz1BOdL8K10LwlcAtUGclmhJuqNsyFFsSB2xIlLfIE6F55kQ7KBdogUjY2ZVpGOmE25h6waidpz34zNpmOH9sEeJWt4MELteuxlkBYbnFenx6gnn7X7chgSbtnNGSyNS0ww4jH1Pb0mY5F8c4RwHvkdtDGD3hbHLzDlyGNniDDHeyrVUK1GdMUOuBfpyBkSg08izMsU4hWaKgWKdDDZVpEOB1U2vLJHkeGKWZjcQXMLptSF/mj9nHLkHhg3oBbaewP6ERrz/jiPXXbby2rnef99UIdet2GfjwD0gDKeCHRE90ocMO0xoN300AXm5Ap+eoQ93NKKq1lkG/cecXgrQCZR9WVfIXD2py/3nTGmCVCeeczqxIDC8EM3pTJeYE0vD6K7V9SAop9xRt+lDwfQ0c189Db4WuX7U2W2d/r5D5s0LH/kiOHxvLhnge7KY0xAu55aA5U57P1QTYHwxHL7jvlxOnJ/w5CSBiSv3aWddRSJ7YCLbnfCbr++1Yr0fsDwk5Llh+rCi9/wFNjZXjHcgv9XYNuzxBSIPqO+dsePjF7rW/FIxfLiQVWIT6qiAbAZrOkun5LcBuDyP+DgcIACmoaA1QfV+0lIozWEf0EhuzY2SGvK1orpxGJMT5ZbgWtlUDSlTMlfuB+4n3jLLEqnMWhqw8BxZHxLp4N9UyNML7Iu3KO+OgHF9taxY32TUUXG8FujTFcipnyuykM4voUVPAjtOdCCO4Z0NlwfB5Wsv+lUif8vbjHxpuPu2YfrEJHh9EC/+Mda4fimoR4POQPIkuJyIVN//tmD8uOD5T45MQJV0aEscO1MATyz61nFLgqv3XL0+KaQOXStdJ5oCEv2jRnf+gpTY/R6kK6AXJoHlzrrvC5POQElDQsD4FKBZ23A29xZg9miZwE1Qn4d/9YS/+OoH/Pv/x5/hl/8FQa/Lzye0BIyPFfla8fEvDrj8BRPx3oZtbF6wdNbX8wH5yliALSIFg3sLWRLUT9ILK2RDkElw/QpYfr4CVTB8yBCfi5aMfXrfRVLPeyBro2F+p7C7QlT7SiZp+3rltfwwYfwxdcCpZcHLHwF2V1AfKuqd0/8b6frjI8+a+a3g8mXG+GQ4fVt6IU+MsU5+qZgUgDA34lkqPeHNPt7mRBtpbI2ZLxXlOLFtFXx+DILnPwXW9wXDh4TxU6Ip7+LFjgc+x+lHwfBkPvaCOv/UQfL56w9PcpP6AdWY7HpfuQ193FX7d8kVq/ZR9ZVts4uAPilLCnEo7EyabEow8H1CSxOT/LMKsSMMnwXJ+6RKhM66YBWcBk5uLKBCOo8JWpjKzIY8E5nckCzpfxu8kulccho0OSIRFyCgscCeShv3YNaZbzF2LSskqLiRiP1ENRyAu0r6QRQo0i5pCEOLMApBHL4O+HQkg3E+tEqn8KVF0Mz6wRko196kJSrGnc4XGwuAFOhjIPxB9zGDOP1AvG9tD969V6zuabv7VzzfuP9mG5LQv7b9rkSrikB1AQZPZj0hFGxIKQetwUxvExQVzvk9chjUWbPt8PYenvuAdXtf20w8RIDEB0QDB/Ux3qEf8fH799klcd2YBujIeL9WvPqeGaIfL9FzbioMYmwzCfI2V90oLdahF516u7BA0eAIUyBY+0d2gwDK7dddM4+feM43BlvgZ1lOMLGNrrpnNMS/Xzlocx95tU+4kYFWonk09AIkgXov2320yXavDZ1us7nAN3fH9sJeadv6q/WGVXHTJij2uZSIYkeCu7/GGKoWa6f2NSKRPDQv9UafhigavX7tXZVfIUHiLBKI3D6GKER0tC1Qk924N980AHS2iCeGKOD8xm6PB1icqRtduVd/bfsZPvOgB/u+sZvrvPe2GUDFWPl1SWEbknjOJhvVLlo83cxT369E+b2+cdu2l/V1HzIJbEm5qMB8sWpMoCHDmhef+roEEFuzmWvn9bagEGZH4Swfe3rzNWme6Hs7vs0caffofmLf7O1eRLBGG6Uw5KrOyNnN7+R01d6GpGGjke7XXN9z9x8WRYDdnMZuXf/Uvn5zsX4uxloHtoR59/8CcJ826etGXKMvu2KQlgYMGXJ3pGOzbgVIvpc4aid9fVgkWXF/XhykOVeDVKXuWaSjpP1cEMAGz2Abbgv4N8+JU82SoB2HLaYxg4lfYxgX+vhJI421qXhMwiJO7FXRw3PfpiXMsTotvzlC6QwG8/vtEgU/z9rEAnp3l46iiPJsivZCdF+Wfk/dq2ENo0UWhuz1GBicAcNz2A7jbS9h/XzMopgbplZE0IEy0zulG/YIgKKY56FPm7JkoqNlZzrqyHcgwdnd4GVtbBkj2plIAHh9ydfeUhinAQhPmpiD3YCwcn9N1x3dOaVerAj39DDqg7WfnC9hwmnuDWLZn9POqfP8s8R2Kz4fm4MS4ZcQf+ooKAf/OThAlCNW5HPpZlyLoRwVsNF75O68OcR/Rwn0tGwb2NL3GyYp89uNJUn6cSR9TOyIyrOdX7ryuQRtmT4YTKq08HfrBMoeExMhqWDruuLXEy1tqo+FX2+68GfWJWOtqX+GZWHrHm/zVg+KchJ60YBgAAC0Kztm1HvAckNnR1Sn0ftzS806Mh7jFEjz8Gwod8J2hFW6s3BRQ3X/Gljck+cVSrQ9LUD+bkSY8FkCmkvPmCCzoKXVqdYFaHNCuIhvbbC4/tnnGvhMyiJc3+UgwNvMgkKzG6p6FC2iZ/q+HSRZAupFNt7LelRKPQxsPbnu1t055o7LWG1jX7XMGv0/5/WHJ7k5wV6usMsV+uYBdnqgAchphIkgvcxMRIdMCloPlNAXvyWFTV7FTHGgeNCwbrq+oBYt7w9og2J8XJFeFlaAps2ghG+AvlG2kfQtCY2jJwu9FUNOaD97z+tyapBUQ3pcqJX0B5TPnJz5TD3i/lCvh9Rtt4lGecsjgOj0PvarDNK0tG6igkOm9stNp/bBadCUmg3QHarXdbvxs6PSmfDlwk3v7T1sUOhagPOla5sECc3Rh96iItp3eEAIKHLxpEky6pCQr8D0gZvFesdKlgIw8zZBz6zyHb4nPTk0N52+6trMoCd2Gm1z1OJ8uUGhrDZS0ADopxdu6nuELykTnThUcoJUpxFfnZoZiNDV20t4qwopFfJ89gqoQnTgZ5+vpN9P4xZoAjT2GTMk6cYMSKnTOWOOdBMkeHCiQkTWzcE+6yW9ApCGNuWNxWARFHmyO6aOokr0D415HH+iLY3PR0409b7Gu+Q6EBVnQKTLinReWEjxeVYCka1b4saK9Db03ezC0F3A06UASqSzTcLfu95mHdGChu/BjVYcTezXvwt4AznuiGWgQUPmHy9U2LJ2dkN/j9o475t1PWs8ExrgTT0gTUvrAXgpriNRYQJSowiBfqjSgZGb+XCmKZEuDfnM9inhBSDL2q/d1hV0od8KK3wuuyLcOMD5jny9Rlsbx8JCq7uuwDBATt4OxdeQWINh3D4H2OatCNeXqCfSt+i3XBfIFdSnn8abZMYmL1IKgyw1v8+QHeS4Tj7fdtw0tWrorcssE9EVSxA3mrl5tQh6eG3pvPpZUNhCQ30eqGz07z1C5EZ1YnQozpfak1sATmFMpMBFSyP4voqNRm/GhDXmlMCQ43OUiUgbEmxUyNKQn18YoPr8Didly4r6ls+oJ+leBNivT7nOCEoyxKU8L5ce8ENkM7dLupkTqtKBMvYB2Y2PJx9Q2RIXAaSwdUMb+SyKAdE6SFYhgrMI8oVavPGxYvy49HlC+rFT1efKvTkK3Ih17UMXxdnXngJr4fpI6WYcYny75EJ5ttnzJ7738dgN1vr9juQ6ypq2AmkpHfUS6w1coR/PaF9+gfLzB75ffKY/2zqlzXTGg942MvFvQ0JaK1syTYrhpWL84I5WdmQwfFCUA51PA2VdHoiMDpfWNfz8cPTiScif6qi4/OJE3ezTiugy0LIAbTPnTC+8pzawLY2uDeMKrPcJywPP9+mTdffnzVWX3xuf+YzYakd6r1oT0lpbRnfkpUHOgGDMMRkQJK2ok3a9bbS7ShdFWj2Wmhvp/c+EX9r7I+m60U4OMScb8sczZF5R396hvTu6SSBYIIrkPoosKmgn+miklxUJQLpmsm1qhpaEcgSuXzrKd1UsmCCLQhZxU6koDqDTSPdt8Ni+snQZ0dbZgnve+p7w5PDdGfp8prnj3QATQT1mwMBWQnPd1vx1RfqEvhYimW+D0pzKPSxG75xBM7m8FTgkQaYRZgY7DqiHTHacKixtZ+6H/92C4emA4ZGMjXrgfZZJACjmN0Rxl7fA8t5R/qvcJDc9ub0Yjj/wnl9+kVAPCeOjYfpojg47rdkTzXoULG4KFgXh4ZlvPL8XnH/tycpIRHb8GHsFYKOhejKZnhXTj0yA2sS9++FvKx7+6hn1OOD69YRyFKx3ChwYl7bJMHxSHL7jmiquXR2eqMqoo+tgC3D3O/7M9+8O+PvpLXQByv2AclI8/0pRD4A40LC8NZT3BelTxsNfE8yJFlsvf5Rx/TWvmeZZpEMDpCtbUtSR490SE30AePhtxfGbBVonLG8SpAqO37LgfvlaYG+sJ3/D2XD3DfOhpz/OmN8JDj8Y3v/7iuVe8fQnvN7VPN+aKtqvV5Q5oTyxfVs6C4bHKDZGgcFclkgEumvU1yhAelE4Ay+/4J4/PHNvGS4Np99egNJQ3k5k9EU9bxRUb8263jMDlgocviN6fv4lxyKfgXxJGD+RcTJcDNOPq4MZLDR8+vMBl59zc5IG1AH/rNe/DF25Gd06o6Ich6oAnXoahjOCz6txvml2lEC23xev/nbEU1g1D+pOHN69J9tudcYmjAQafYDBYqf4wjygcBpo2tAz8V6QWuh6SF6506uXW90kYfp0KyOyHfK8bw8AJoXiG/Rn1dwdJTQox0G7jj/9c0X2cjduJsBn9EXT3c/JVnXtgVXdaNPb2FlHSrptfnd/k059aWpdHB4LMXSJ3bwgxsMRWdkH7bukD4UGWRjB52FtmytOy9kuUD7/d8yF+uq9X/9becG93cT+PazB4aZ/1muPNG3X4EnLjsIYz8AqbpOxuLbd74etfJiwwfXqWhvQ1McSfY6Iu4t2enQ82/3775O/3Xj0Qo86ct8USVk5i+fezcN2Y2jQ24D05rN8TegWDPWgCHyfvgbVmEjuryuGYk+jbW0zmolr8GTts3GM57rXAkYvY8DZI7shj/tz1CraKVB36MiW37oUtlPScN10lkIUBLrOPMYqkvD9XOuobVzuhu6KI4w3FOL4937f9PuLtm03r1ctsm7GqCe22N6zvXqHQNJr+mxfANAT3D17prMW2qsf9vmsXpiJxBHwpMvfD5AbJsCmefKAqzMGmifxeuvHEB/XdgyK3TXAkZQopJoJbG2wxj64NxVrw+aNEG2kbgbA0S6RLkFoSaHp1VjtC0s7phIp1rs1GT/7eo3Gv3cFT8oBdl+PgtEeTQ1KfOiU4xVrOVCBFoibt5FbNmqgrt42rGx7OvWpDd2E0bZr/QzJtd2eEV/7qVcUsWKP2p2bN2MTw+F+CwL8RByxOwfiGsy4B4SjfvxoKUxSDyxERCvAiB8Cxe3tKuLRKJxOv+s7bugIvhaDRfusWFcMD3pLjZbDA+FVohvvZRsyZq/2TsR9S6C1Pv67M5yt4Txh9mvS1Zw6+Xr8wQKPKi0QXFse65Yxh3lRbPu1qMvFz8Tn7l92U/BAR0rjcz+LOWJ+lo2h0vW61msB22c5iyGMsvgL3GejBzFZGv77BsjK81kW6vqILm6eFL31TQ3mwq5I79eI8IvxeWGv9uUeO6UtJpVqLHiGUWS1zawSwN6MtZ9dXcrh8dy+KJbQ20neMBCAm/UyHFbY2bx4Jduck9jH4YizwUaDFYnwCFHgCXSV9+9zeSQteXj2M7DF2gi0GAjXcX4N2xoz/zmnJttobADgbc44d27XRrBJ2sC8IK3GfsqqfU+7mX+yxaREYdGvqbrWM+4nLeZ9lgWXpwMOKxHHMjFhrEfrY9EGTkQxJrj5av5+BHrgjIC45xi3lulMXAdqj+NaeLNggWLlXNRCqn1are/B3ftjZUEevejl0+fa6Lze56/ACoADkIfKKZsJldMsdltHftT3cdvOIf9Ld/s9eE/N73m/h8WZqWsj0LFjw/QWXj730gpviYbOhgn9L+/BtvZrFZCivdDXf/bz0OQnX394kntdgJyh93eQnGErdVYJgKWEejdSizDTUViS65XUreaTeOuB5ouOAxxtVJBoxtCQAAzbhloN5US766gc8hfhRhgFMlfYIaMeB2563pbGhgSbEtLTTJ1cUiYQvgG1nNzjJdAud6v1IEXnsiGwDcCQIMdMxOBau2lWD+6FCUS4NDcVIBkARTmxf1a6VgzPK5HO8wwMGfVh2rSHhQm37FyhAR+v5klrFBSGYSssZIXdH4lgetLMN2QQoGdv0zDkzbnY5208H4CGEfWgWI8CUet9tKiz8ObP141KASHii4ETVy+O4DrdjBqqqPw79XwYYJqYyESyGFTLcFt2Snw/zLRRa+g/Hy12gqKG0O8OA+9xZ3wimUigxYKfxq3XbFJY3YJoOUykFTc64kq0utjR72/onEBPcj8zndgl0fvAJM1EB2xUtMQAzHIkXcZWICcGJcPjwvdy6n7Xx7rrtHhrqC3p4MHZdW6XpY8zWRONJh3ibUB8jDaLfyVNdnbDqJ1TaSQ99ZS7fpHrmXoyqUExZVX6s4D3df/TUm8pyI1BvmRszx+Anq/992Uab1AicxdXGYZtHgWCG88sWBul0YjFwMDUFPVTIDfKdaA8uNOVFWdqSuG99EK7XLk3lEa0rfocOSZq6YENpQPQW1GZ9RZXaF4ACmpzzkSogNskAiBFOZKacFcWoWY3ULxA0rxYBW1gIUe9NZfcMhZU+TseaHW9ZXy290K2wdGuKcO+uNslULatgyS4KXKABcs2EGENV9Vy5HkQvXX7ObALoDlcCk0CbYYwduLztl44aYleB9Hv1Ab2Q9XowektjgR0cgzDqJsEM5IWCxqzdE3kbjXBXIIQBVcIUN8euVYPmW18XoC0Ei3rLcQEPDOcWmyqwMEplEci57KsG0IZf3aIebRdCwpuZ0MELd49CPZnRT4XtrY5ZWil1pj7OTA+smdirGeaTAE6A9NjQ35hS6xudOXns85rN1VDa5vzd4xle7Xv7AxuZF+oiTnYuH5vXj0RUOjDfV87aLbt6c4G6vMvJbKAaiMzJydGVfuXB+DSpEtl+N4b2pmWDeXXlfN5/nKEpQk0ZSTltE2Ze6CjuFqB6amiJe/xuaNlkgKJjprDgzoxQM065VjdBM3CRbzx8/iMWGCpp5Fr6XlBfmyo9xPW+0zU7OxFUMNNsBlOytEpIc6nnpAMW8vDQMHWMZAbdoxYHrTLENJcvdVIJJP83HKXsb7J3TUVAMqXR5pF/XgGlhX1/R3KwwidK/LjtZ+HNmRIrUjnwnU9JI9dImm2XlgIWcPyLncqLoStvqJYOz4yVpGqRPocQcwXYYukGkkZvGcrPSnGH6+kV48J7ZAJesxsSRnMq3Qp3BAU1MQmga6V7Ymc4i4L2RfWpUsx54VtHd1Uc/j+fMNq6W7imS3wbBDuXway+jyxSLXQlHNeoWUnVvzv7zFmPqt8BsZPTv1109R84TMsRwGKIL8I7v+Wc+36paAemNAuk1G3+yZxTircwMlR0YO3DpoMy5cVSIbheUCaDfOd4PwryhymH5Q9Ua/gfuNrIM3A6bsGmiYJ2/YtCp3ZzSCfrfdatwTMbxLKf/yl056lm2pJEYxXgfzgbr6+rtKVCdL6QK1xmoHDD9afe1Xg3b8H8N+PqIPh8U8y6hFYH+g2n5/VKdOCunCc6sh2Sss76Trkwzf5Znz5EIkarw+k5pYDx276QEf/chQ8/ekR673c7LlpJmU7X8TXnvfMdaAuzsaXXwue/nTw4kO7AZ1qpeSoLQnDE6nCdTLUI7pmvU50YC5FIEWRneIdcbxUniP5stGQe4yfgMuXCT/+uweYAsdv6c69HgXlzrXabti76XX9eYi7O4P3LM1QToLndwJdEi5fagce4EUFoudkWNS9Qes/8fqDk1wrhXS5FIdu44a8itNgJpRTwtAMciZ1LOziqydR1DIwxWfSZog+oS2rmwls1YSoVrRBYQeQTnKtW+UHvgmuBea9yzp24RSrlpWpxroCjcFm/3WFH4C8tnC+FE9aon/bbcXdP9dNd6hpUAhko6YFshdBXKcNMcnVa4HM7P9qsgusduhuGKr0PMmrepFciSe6ljwAE8DGBIxpo7kGgud0MZn5eWFXD4BUINdtsNrZbmgn6i6EAIBkTp/y1huBYGugkrJDcH3cSnVDnMETS2PQH58fiYmjlFZoLnSjPQxNbQORkR2qaskPWzfdkcPUzWz6K5Irr5oip9s+tPvES1kFY7sp/3m1nuBGq5P++Spdl77XK/UKfCQqykAmgnARoEnqRYLmXV9CR7L1SRYGjGFmpUT0rAESrLwdOtL/Pyr/ha2O+phX9ABVvL9jmOOwZRT7XYs/O8lRmkN/xtt6rlBH1FoSiAqSt8iBeUsxn2OCGJetAHODhO7aBd1QF8OoBrh57gBY3CikTiONN8G+ecBrroHqleCd3iqpIV8FzemtbeH9sS0S6WykuVmv+oszPrqJkt9DuBJTBqC4EdsHRbOUHeLsbJP4/6RAGrb74qTxObkrdi0sAsmQt/f1cfsp7W+YW4mqm3Ht1kQwOOqugLRDjKw1Ov6KB8UjKXldSxdaxp9A7/reV0E2jCfaoZcifUrclFD6HtNKaLwzZKjoejcAItSXW1ZKUyqdnYHYZ7nGdSloceR50tn7cLp2DsC2TzZ/bwBQ69TpPpQ9OQDXK5St65qhuUGNzlsBp4+dO+nukazX+4e0duPcflOMiHXgRazQvm/MgSgWbHMA4Hhbach+/sIAmeL8YTEt7iXoiZzvrRvPxfOQ4ntvdwz3eQ8vlNzMmVfr2VlRtxPDtvt7hW71r6lSRgJ0unNvQVcAWOnPcHtfh9R026/i/TYUctsXt3WDHph1hoEbx8wHRTkK26C8eDHbC/d1ZPEgz+z/isNmyrJPopjkoyO60cNWw4m5sCVPFEnhCaVU2xJSFbboKoY0XyHXhYUfoSshWVdcUx258yUVLB1ODGx6SCdQAegtc5prE+m237jPi9+D8flKBeDaX2lci+tDxnpSTJ/oNG9ZUe4yi7TnK+zxCXqaYO8m3ttl4Z4TRW/XuGJI1LgbC+zsUctCS6fhJ0E9pk3vKETNImZMV/dbSDSYWh9YtISh9wMup3hG1DKKgSAAQIPIQYGFrcF4HjE207Vtc9eNDqW0jn6LYWtv5wkKz3M/kyYW4vJSoOcr53Q33qvojC2PUaPoAZe2RScDXUj9l7K1Vjx+B9h7JhppAYZHQ1odfTXXTYprsxsTz8MHto5Z75O39THXTRrqiXM2v0jXYbYkbsjIhFhOFTo0WBqo/8xAe1uAIqhnLqwtYYJ7uBgO3688B8roIBCcOcWCS/L5bMrke36rRJSP274Ve1nQzXtvW9/blglY3himD9LXbvO98O6bFeOHGU9/dsLHf5PYpubAhKOzXgBIJWobaO16zxY++SzIz3BXZf7ptN3BCwYJaBOABW7k17DcK8oDvDjCe83egmx4Ycw0PjdMH30uqgNl/t7rm4b21UJ/HNfapgt15mixGLyIaUB909BGg1TlfWTAjhVWaT7WBulu0LWiyzaSt+4azky2y5Et0NY7wcufFfLAbQSMJr3rve8tr8KzaLsI8b+NQIFUYH3D56MrPzcKIFKB6aNhfGnI54bh04K6XvDPef3hSK6ZJ1aZuoLj6AgudYjlmFzDmbtTZT06EjOba+EE5X7YNk6fxHuaowVvAtuglZPrXlZDWdSrFxvdKXkFMP6/TQNkSL0CaUMCHu58w9qhhh7k9YcS1JnkumFVdGMjBSyxb1n03gN46NUp9Q0X8M1JYxPdjyGIZuQJOmfoSPMrmtdsgd5Gt2UgIWYQr6RjyKwG9iSWQZ013ZKVjoztPtsPCTj6IWZQR2EAQB2liI0gXw2tsApvCdBFMDwm7zXZuIEGVdmD/3R1LYr5uHllsl/CZcYNcrur3NuQmQguC0/fPRVbmQDr85n/HwlRTkxoRajbip/dzdn+dyREzRN+1V5theweUqvbxBP1g1V7gNx2bR7qFD/HZ6tBJTMPVHbPIOjOTQUYlH0GD+mGHtQS+Gz7gCnW+wHqeh9qs1tHAZASTNqGXsbzDnOK/XiYURMnO+pvJCgxTg3QSLqiH2VpABxpygrb6arauNHU+Pvm1We71WD5etGL9/fdmZBZ9nUb19RbIHnAHEWOfTIXwZEqiyEim9P7PtFDJBEAlLrylrW7qEKoRRQ3UWoJG9XaXf+0usP6SufpjhTWLfjv9FxHmizGLnrhzsvWlmr3bJF86pgBwuKC3aDa1pN+EQWsdRonhpEIrevZAVCPvEeHS/EEIRHl2r8sImLzJJYyjkC9I/Esp4z1IffEVBog7q66tUrZ0JagJtdDQrlLLEyCB3s5irv8JmxFTOv/7usmEFxvz7HRJ90MqbqWrY9lJJIb+iVmG1Mh5kQYnolLYZqfaYpNXhPFBE8Q46zC7m/A0EbtaHQgaG38Cc3x/pEbiyyv92Y7jNs89/vp+zVA9NK/3gt43hYtWElx326e4MVf6sfF9XLNtYhtQKeUakVvFRSFh+4L0AuMoBs04MF1xY2xVN8/Wk9u8Xq+ZZ+Dr6QJN/frBd9+f2aQMpO2vjrKGa25gM1R/bXr+O7V3txB2ivfDKDTkcuR+jnzImYkerEvd6Qm5mAwAoAtOS6N7USS9X6RbRCIuLmLcrnDxE3ugLSK73+KetrmHADvvLArHIfGXIHy9gi5n2BDYn9ucW2ln9108LeNGuj7cLiJt1G7mVRnyxUgVbqpwutzEc8F9Xm9SzAZqbm9kgJe7jj+XYe7tp6k50uhy2xOkNMJbaQXiQ3a51Ib6a8SUhpT17Zi2wcsqxsbEQQRAz8LQJt0Aw8WomHlKE7HhrOmOG7pIk5J3tqHUYpiSJcGOwQf1McmaS9I6bzNL0uKehw6Ffmml7sZ8HCAHMhq0ucZnVUUMoagHNfKden32v0YYt7PFUO5bOceGFciK5pmyJDQyva94cWQvWhdDkQySwNjlEYjn5aZWLS7irUQGdUivSVQUJBpxmSQVTB6krglK2xZVVZBeZvQxLDeGc6/ELQJ0I/Zzw1DnYB8ZaLbEq+Lz4vzZngC7O9HpMV7Dq8sFNWR1wJhYeL4Q0MdXOM6UOdbx20Po6EWfz5+d72nXpeO4o5ysrMann49QH41YH5P52YAGJ4YwLdsWN5s+4eElKMB04/0oykHoNwDdiGNWyowXq0XUoKm3KJmPTLuGJ8aTt81XN8lnH/ODSZdGlt6fj14ux2F2ICWBcsdHdyvXwHrQ0N+EeRv2cc++guTTmzIHxPkhxP0aJj//Mq96XGALFy/9ei50scMWQXTR3oxBB09n4HDj5zn5UgjrcuXm5kZz11g+pbAQfZQXCspyb3YttvetUZhBN47OIpPwPBkGD95UcA/Y3jaI/jq+uoDdrWcf/L1L5Lk7hPc+nBAGxXL29zt50lpUCxvUhdcSwNO3xakuWI9ZSa+xsViADAw0O/GRa7NisqIKXtnLW9YmQtqzf5gjo2jJ7meFMTXbEiwN8etGg7c/DyDora1sRi5mfGQd5pnoAlrpfYj6HaezHetlL8fBL3vWFwvANQjg780Z2Q3ZNC5IJqF792gDdwUrYK90uaVt5V2KCTAdkGrAseRFd9AJ+Jn9tVrM/TepIHyFD9gTgPME7d8ZeTZvDfZ4UMEPnAnQHTaYToXGg/VCJgBcTFPb4O0rLDLBdBEp8ucnPrGg9CmkUmYz7VOhws6Zqmw8/kmoJG7O29VJZtr9l6ftr9/R7OtVmAcHNnKRHR3LSdsLbCUt0SwI4M89NqU0Eal4ce9bsltY/IfQQX1BMKkcU919FcblM6FESgZULMHRx74tySwt7nT17SwMNF1Q0m3QBjY/Vs21DPu4ydokZbTDToqrW09OmPOrIWVQu+JLbrR3OukTmei8ZgloSkOGFwFWgEQwZZ5h/LvWo1YQkf+JZ5bbazux/+LkLKYlH+PmYWRCPp3RZ9b5oXrnZxTpOZu01EgW7TrYEjZcZQlCnHVMDwVjv9avb0XqaJSG7CujvoPvPbQmYluiffzM9rzC2Qc3Rhr/9wSGQPxHPYBDwKCyJBBN5aDiPdJTMD5SjOunLtBCS51S7Zrg2T7HAXvyXTrwZeNGeub0VESXt/yoJjfaK/KBi0MRjdSjoshrzvEDUxy1ztFGjxYTYJy0JsARteg0bF63HVqjmLV056m7Mlko5RDS+vrkuPWXGaAnujpazO01oDV99nBA87dXAlGTFTO2bdvF2R64VIagFG3JB3g+E2Je2CcI7HOhPOu08L9GUsz2HFiUXa/9l4nkJFsqtIkLMk+lvj85bRuLWyH0sLdWgValE6pq2HPUIg9qGWiF1Kts6xMBO1AqokkAeIe9ppwZ36gFEpmvJd3GAgG7fpmjRZsa9uTgS5H8R7AeLnASuEj6YWvxn0j2sUtK4ujP/Eqbw4YDMjPC9qUUe5yT3BJ4+acrIMgjYYyCeb3fOaHH0iXk91t9sKlYKMLVgMWcgequQRlBBIEDda1iZyDABoDZPh4d3q8eUAp+pkOLVoIlTuuz+GlIL1QrsJWdIr1HWOy7Xn639Vb3FRDOw1oIxPGdmSsFa7Mad5YAWwrhN7bc7lnMWB8JFrbxoTrF1yf9393RX68wsbs5oneU7aBe7WyV6x5stoOTHLqkW208ssKubQOloixKCHmDL/s9PCjIs2G4+8XaGlYH0ZgUtBTxVAn7RK57r2wAFIFwznkJobxE/fz7u9iLM7uJUgsZDtt2fcRGjYq1rcD1pMiXzZ6drza6Nf/4QL98RkYB7SHOzKKNHTH1tlJPUl2tprUzATzOtNEU4TGiUlhaXRzUwI4pWwTc3xuOJ0XpEvB058dcf4F72O98/txCv36tmF4WLAaML8fkBYmOuaeK5YNNhhwqLA5Ic2K8TEkItyzx480kJq/IlOyvKloB4VeBdOPijYa5p+RymzfDBjOhuWOfXbF0J13pw+Gww9w0IhJaPE2RVHYPH7fcP+Xn2BjRnkYUU4J5TD0uFqroU5EE1sG6onF6jYabGguQYq1xvXGpNEAbQRwZsHhe+7r168N5a7RkG9hLBsI83DmOnn+I8X164YRW/w3PtXN7VxcBjHQzfr884Q6Ave/azj+5Q+Qv/gC518wXk2XgvQyo6Ujk/gM9xAQXH4GtMmwvinA1HD8ZsTP/qsZ5S7h6dcJ9ciWUW0Ajj8K7n7b8OlfK/7n/5u/QZaG//K//ddIz5xPZWLBZ/pBoSv3Nl2B88+Z6Mv3wOH3LywI/OwEOykuXwuuX7KoMX2gdvb0O9zIRqUa1FssDs/WWSEE9Fh0qiOLDrGutAD3f2e4/92M+f2Ap1+TFXX4ROr2+evEfM81xe1/tD65jryR/ogeHPSEzhPdOjIzB9B1IW0U1JLcgUs29K9v/qFjBAzWKb518o02DghfDJEAiCeZLSkT5K7d8GtTr9CKIdq3xNnBKtwuYQp0Bry3aDkUVNT+cxGIefASNvuhidmPSfVJHiYPXbTvwXTL6rQcr16+jlycvhZV/EBixV1uu8FOdx/1gL61TfMSGtK8JdBhwtU/Zq0QETpX+5d1jWu2m8Q7hPmyC8BotrBz/I0/+3vIichWBDrRPqgUJmuBfqnCcnaExRP20Ks0Y4KQ1O/Z5+QeCQy0/rXeC2Arid5X1DYkru4OKnVXZWGfUZtG2JRR70du6MFYONLFj8m+G1o07QyDSJZoIuXv/TpwcXoSkQSuHaIs8X7xh1po3r5s1K3Bq76BjL6aOzGX+/8Hqrv/nj8/ijh8HPcGF3HwhwbqVdBP9ACdARBJOxuE7xMIQI4ZUhSqfH43JiK7IbrpmxnP6RVC393G42f2f7zFjMW97hCuPUpK8wTX6wQNqqKvV9r+74ym4k9oDyPI11djHa9eVFAyDfq4N+Cfa3qmAliD7fcnwIMiL7zF3iBueuZ0cdl9npUCaz9REvU+0xGgtsFZOBOf93oSL1ZG4LzpC1sxUr9jT4P0Q55IaoztpmUNymS0jehz3aceGRN+gL4ez9iXVdEmjt/WL1fwWTuxn/j9eN/+3jtkUWCAJjRnuHQmji+P1otQsZlzrfZ13QBJxkTQn52Jr9kk/Qzi95ztsztb+jyN55yUTB7Z/r+/Qp+8X69xTwoWSJujuXHuJCEzOEt3xO+Jup+/3XU/dP/xavAseDeWMZ57jbZraMNB/TXiy7YqtY8P/DpvxgC788ULkr2lXmtMjuM9vSjQNfk/8dwlPhfoNFU6onIPrwfOwVI9nhj5zNsIlMZidzkmtlARruPmKD/XCgv1bRRng3BetwzAzaf2lErAf+9wywTam7FZfJ2H/66A7t93hlFHCv1r+3u2mHfFkM6Md6QmBIW8x27Ddk1BsTa13nIGwrUuBtSjotSho8Fi4NkwJLQhbR0CfA9oYZqUt+S7PyeN+3v18hiDXi38DC2u1Vx3e3NtwIJOz+5FypXnjzQhozt/jjJtkpn9+bi7nj0rYimMI48DY5liTn22TeYVDI3+uwocJi8k8021tG1qvvZfiN8DEN4U0RVgc2Df+urSo2PbDx7/JAEfBkwfWLQ9fksUs9z52RaxRCUdHPDzOwFSgFwFtgD5nFAnQ3kjkJVrYb33+Z64furoiXE2wIQUfJe1lROTZb06c20ELl9QltImXgfCPMr3G6K4jEnbgBtG1XoSLF/dIUAjUwJddtlQ3UDloy2SuqqhqaAN5og1P4NJmADi0gFnt0Rf3zYYwgzLGveDvXlUtMhKM9d1PcALn6m//6b7dmaFA3ImYH9zpytLAwu5Svfv4cXjwcnlawvPF9OE5gzW5W3uZ3OwiG76Cy/A3z6+h4ghfUoYnjgH6oGgYhQHeC8GrQJdBXUArj8/9WJa6LiHZ14rY85d/uWtRTsFubDoDUN3m44iIHXRvl/475eD4Pzzyen1PFdaEmDi+OaL9TX9z339wUmuTCOiX6OMA2BT35gNPjmzYH4nWN7BG2tzc5kfEuroFdPRq2qu/alHR3JXtrhpo1f8BsH1rfb3Dcg8enWVI1zQLNBVkeaK/In0jjbSgp1tH7Y+qFv/JsPhmzObxLtuT6q3ARGBFCZjbYjvsSq+D64tJYgH/mtH5Lh4oy8X7c65CeRzBBHwa9kONPbnMuTn6q1ctmSkucZWnZ4mtcFs3ar6qh0B1nkFnuctkEgK3NGavx1GIAmNEeZykyDIlRQ0PWSYDkyq5tYTLCACPN0OXuMBodWQzgv08QwbB9iJFY7uCL03PRqoo+utVpaFSCFAOlszYBpvg9t5YbsU9QBKE+T+xCp+8XYWgZg4Tc7ClXPdJa8p0dzH7zm0kbIWSNsMHCTnjQp6d0T54g71mHH52dALOC0BdZfkhpagHtC1JVrMK8eCPe7Sq+ulAca5vzxIT3DDgCqYCqQPcjcLF2tdBNCE6q190mVl64F+UG8Il15pFNOp3ZGcRdC5Fkc2d89J0alaPZjyV2yugBe0vCVFuP9FYj64gUT8rDRFm9QPiMrguwSytSUrUpRoZDzbQHV7UKebPjCeOXD7s+6y2ludDOQpdX195KYAxk/YgsbYUMNExBOA/LJuCG4gtWGYJTv6d4xtUItfXhCmOXJ3h94mCNgC+xDGGY3ONqFcBDcKrEvX4nb33bZLQva6WBEiv8m2z6gV9vwC27VWkdYAzR5MjVgfaBxYToo6CC5fag+Q2HNPvCfhdtBJC42XdQfQOjDwlmIYn9zl2KvacfCxRQkDrnrkfG/PpD1JJO6lURvUfD6HnrI1tNOIcjcQqfw0O4pr1Jv7HO4OzUB/3vu+xT24delGd7h3R/+WpBdwxBO8cmDPR2mGfE03CF++KrKfLbq0Xu2my/SOLbH659wgm452RiKwUrPY7o4MrHdFSz5P1+WtBTJknnfxTAGaI2UWfvWFaFC6UFpQl4w6KtLSNtq+z7/QHHYvirhmwPcMudEFd2R1l5RjyGTtPD4x8Xz/hnN2Xpj4zgvseuUcfbj3eevIcPL3cEkJRGB3R/RCmwIyF5pIhvSmsW3hjTnb3l25EvkPY7XqdN31RITh8rWg3O/252akKFYwOL7z5NUTpfFxY37QrAmOHjpSlCLpAZY3pAmmi2D85JR6jwHWE6+Bujy7mUuxp5m/X5p9HfQ4xmOGKTwddNtn94n0oFjvWXgdf/RzPtHwUTxQjYTflKhfHXuW58jaNgsssSXN/IZjkGeuozoocBoJSjg9lm28/NoSk840N2ilI2vc5+sC+v58ZHzR0KDIa0N+qT15x5Cgl4LUDOV+RLkjUhoMtLQwUa8Tn7O6PjXGBQDS6vFUMFl2BacAWnA2tvYaMuz9EW1UDE8rdKko9yOWt9lbD61cMw5+tDHBvnqzFYMa6BLcACRBfXfPeTnzfKZnx26/Pkwo72i2qufV49MCuSzA/YRyl9ke0l9v/4+/x7d/+ae4/9sB97+r+MV/8QHrVyd88788opzgJklAeRDUyqpAGzhfxicyKfMFyFdqR8+/SGgDW+nM7wAbHCE9NaT3jJfsmoEi0KtieBGs9w3lZyswJxz/LiMtwPyF4fyrRmOpmXt+fG4wY6aPjBeqkNbaEzEDXn6tuHw1IV/ZxkaaazafDJ/+leL6xwvyDwMefoOtP7QQoVxEUI6G5z/nGrz/G8ZqPLPYo3Z4BinBv6iwoVEjLEA46ZfCfZ8Fb0/arobD91wPwfqYvU1VfuE4xnVEay+tBsuC6y/vUU7K3rAGvPxigNYBaTE8/H3D5cuE8y/EkW50FhTzEeDjv47iLjpCHTp/MY7N9//N1xAD3vwVja2ef624/AwEDk+2FV8b/RgGFZQT8P1/MiJdgfvfVaSr4e73FYcfpOcxsA2wK3dcV4cfDcfv2w2bb3lIWO+2OHh8Mtz/dgYaMH8xoE6Kxz9RfPifGqYfFW9+w1yjHHnuji9EdctBsdxLN4z9D73+ZVoIGal+gAe7yYOBRIS2DZww5UAoPPpw1ZFPPEwPgNjMgg4Vk0K2zL1XLP3vfQVTtvfpFvwe6N2YcGhMhI3i+dmrGUR3AaHfZz/ERW9pvxEkuwkU72UrElpfIERyW2ac2kJDELdXBcldHNmaCNCB1JvQxHV02NGLz9rYhOtnoLV7VOD1NSs+/5nXVXlHazptyrV2PDhZDtzaMqHTFm8+81VbE/6sbYmoP9oNdfD32qNU+2uEB6Xg73dH5kCId4c/9mWfn3regXj1hMgT5H/sZ8OFe1SUSVy/4BqDA6tjfYNRoFXqsDg2Md9lKwpgd5BD+nwIPUz8oZEBK2exkQVaFm2DzMeUbAgBitw+40CrYyyiyh+I/+v5XtvnlNbd8+lD64f/3lyFRhTxHNGR55vhrAZAHRUVKFwTGfcJ73WqPj7k7d0mbzHvdnRq2c/hPc36NcrbEwr/pSZ0qfSgRHY6VAtEy6mzCPOd2Bfic17P9Vcvi57UPm9739z9uDbdEts+WP8IPSc+s5uytc9/fl8g0m1um9lnwGb/FWejtLzbxw9epd7tw1pAurpr2bjn2jZukO0ANSBcttvr9Rz7tyMJ6ptCN2zTSKziPsDn5e/TacWvx2YfpEbxYYfe/tR4yn5+AD1Ixas/Bj/vRgZItQfl2PbLKt4+w+nd1jYENK6n712KMLTZI6ZhGPTZ84z7iH+/ut/+EhaDLCn1v9U4wFUgoJxCxXpngL4fNevoLanKuwLK/jria7Zbm31v4efy2dnuenb3/h96tdv7jd+/+eyfaOfGYmDj79/sbejzKIrn1VtUWwLM25t0+nERJN+fLfuSc+MZGDatbYl9Cr1401toxLxBfB1MWEWQHM3sxaM1WGxb8aj/bqyrhL4Gwoyz397+LH71CnQ3UHzZM1p2soPqyS6diHePwnuhAozrTJj8W3VzpwWdfdEaOgtEmm9rvq9wbVu/3n2bIhaY4Iw5eMEznv32MzdIdxLu0b0Y6d9v1o2HdBc7wmRj5MR793mNzlYLs6suPWv4ybipx0X7wtP+TIq9Qv3ZrrW/X5ehqU+OkBLsC2/9g/ycj/1v93Wo3CzJ07CgTY0+H8ljnGo9tsB2uzwuspsSmfT4HBdz4ycifKaB2PocT0Q5U3btJsIrxN87AWlsqG37MEuAjYaGBqkK9b3QsMUQABxI8vY8/Tzwzz0wnmo5zm9sN1NlQzN340ENKc+Tljb38Y0d54/N4xcbGg2Vgpkjfr+ZfaMhAriBVrx/GLjFfTYwDqp9z/YzweV9AQrUYfuMchKgAVO13rFEGgh0zOa6VnMEncmoFJf5VC8+6ybd1AI3sdqAkmgJ2v1GdizB2F86G8v3AiLdQG4bW4H3sxv/WJ8xlqN4OyH0Iq+6d48s7gO0ZCLl4LwiIwN+Fklnbehs0OTx9T9uuXDz+sPdlZ2yAQB2GDB/ycrd9R2pCMsD0CZgvTPUNwUyK7QkSEHn4o8fQUe31VAOW29GqTTyCKMqaeZ6LbawWe+ceuHomVR3PvUNjdb9Ayzf+QbE960D21jkS0V+IVUv+gpbErbcQRxWskNZQDOJy8qKck5EtoBNt5sym5w3w/SxEqGY1MX91B9YUK2FED7/BiwbhkdBcWpJWmPSaU8WBjdjSM8zgu6D7DzwCN4i+XUdiqlAjgM31TN/T64LN/TDBJvAoMc8oAnamIhroDYtTCC1gWLrUm+Qrp5cJ6c5v7uHLAX6eAZE0B6OME2kMVdqhtgSyDeMlCCHaaOgBer6WkuaEuRwIDoU5lIrbfpvHHivM2ltbsZygzTEeLXGVh6lElXL2c2BdkFmKUBmX00bEtaHjHKiu1ybgPkduhufHWiIkp+UPfiMOizsD6uI/1YGYJaIsgZKGO0lohJnHpRFT8+WAUkeUPjGGKY34i0vbNio2/2z6y6A33+9NZqY+XO8pbhGYUe2qnQS6okGOsqSsr01O68T6TDrQ6xlJgHr2QM4r+ZpEad4CUYDzHsSWlAlqV4jdbZhC4r3KGUU2NqtTq4nuDFvOo1fb3/X55gU5bzcsSBs8AA9ApVY/3ukKsYyPkd1M3naoYT8vnYjKMl0Qhb4OSxOiY/5FgurO0Xr9nm13LxX9CnvIU/8vBnsOqObU9n2ubxcuU2eWgPM9dHqNMRJcX3PZzp/YSh31GfZ0CCLon5U6OqtOGJI/JBsg/YEQxDz2dhfOw6+FsEHesDBai9ug1igrw86dyuQAWkZkvmMhucV0ZqHpl+74NQMpu6AbCDdsO7e37bfk3nluN5PnN/uHB7XbMqkCAKsd3TYjKQFAPVIFb39ha7Ux2nloUsZDTpiVO/23gFxswzWda1ANkAnroFaIU+O9IS2NZgx00hjrl0hwLKb4h1IO5fSkPv5xc/RubjhSEI90AFXzwv3+pAAuEPsDQ3Z9a+mSnd+8+xovwb9bztOkJzoteBGZmijt7tz2co+eVbdIrBgdAS9WJweHiwJVdjp0K9Tatt8GMzcwXwr/adrIcqrdAF+/iXHPWKH6PXZpgZMDVh5pkgU6eEB5TPnawSONF80p/gyqOTaZuAayWK6MA64fE108fAdkBb+HIRo6OG7hXrbY0LoRPfFfTLXck+uUuypjkTqtZDmeD/2ddAZLo68rG8P0NOWwWo1DM+Nha136qgd3YijaNONbZSInCkwflQcfnBathd2AO71sWZaFhT3Y5kea0d41gdSOtNVtiIigHI/wt6MSGvD9MOV2twT502a6T5dD5njY+hMiTB+VPdNsCSe5Hl8B2B8ImOBDDlnOkTLxLozpwPbnNXTwPnhDvqWFPXrty4xa94ShQw7mBFdbp6k30h5nHlkRLlYnBQYeLb288fXkj6Vzr4TkPkw/MC2Y3agB0U7srVmd5vfhRm/+X//Maaa0DJw/pmi/q+/wnriPt5GItpSgfJFwVdvX3A9ZTzLiYWTqUKTIf31AQ+/SZ1uSvo311VePD49C+rjPSwZ5MCktx4bE5y7itNhwZoSLr9W6OLtpxaPfe8b7CrIz0T5mu9b6UrWz/Sh4M3fNLSkePqTEcvDjipsBI0wMr5uAynZb/+KetdyErSj789ekBqefZEZ11wYSA7PXCPzVw3t355hTelWXAVySdBF0A4GO1bUdw3PxwRZBcffK4bnLTEGNhbf8MS9f/6CWloppPlqAeozk9FyDAYT3FUYWN5x/ym/T5g+EQR48xueH+nSWHv4KmMdyKqYv6wYHhX3v+UeMM+KOgnGJxZx8gUYP7CIUk78zHS13i6K+YZheqyQCjz9ScbLH1VM3yc8/C33NhYBlYU8N6TTD9wXwkiPlGn+uxzZPu38Sxavjt8aDj82atZfGuokePrzI9i1gsW107eG8clN8pTXdfq+cGwWMj7E6J+wvi7+/COvfwHjqQYvn8GGhHJw9yvf0MsdA/96apBDZQF1VIjz4iHO7/beS4EIBlLYFJ1KvDc24mKOaiQnWFp46GgJhzGhnLAlPsSr01ocdaIrrQd0EZwdMmwiPawHzTvqjBlo1nNdeMCrk/ZvWp2wUpeudRcYhYMoOlrBSiWvtR4NbTBIVSQXbAOsnDUPpoiquL7Tta42Dbf64EZ9YBxobDPAgDaJ9BYnKAxg4AZL+8SnBxLRa9FIGd8nBqE9DOpdnw6qaMfcN92mQvrpdfbA+sjqMTxY7WUk6X/bkHld8wLxfqc9sYlXoLfRqxZwHW0FdOhorpUKoLqh1H7e7qutnvQGbbT34tXPf8bvsU5M6NrIAkU9Gupdg40Neixoc0KbuYm3HPqF3ccLOrKhpaFp2gqO9hN/dt/r1HdPbmHYigtAR6p6gaO0jvTsHYz343CjJYXuzHfk9ufd0VhCjNJdJ6U3Om/eToCHzD7J5XXGJq+La1C8qtgGUrD7dQNbpTrQhtaAykSyH+qv23m9fr72ao69fnV0tnXmR2g8AWysCd8v5OIFpteFl92/zRPs1/b5/Wf2LAsRdNOpSMTNOnUe5hBIzHOrfc/lz1eg2D+OINdKYzVPhCOxBuAJ+aufb62zGfqzPIijuIZ2ZHU7TRV1TqhXJeoeyJpsf7bn6DTvGGsPsmN8u2Tj1Z+fQqL6Y1OwsJYFJtpp7q/3pD6esX6zwgx0ssXmLcBrsS2hi59Puz6isW9HEp9cUuBtNurE+0oD5zfXPJGItAiw8vesAHvGBVu+7a7XGQRSGqxSt2ted5O1UEKzM2oLEzg7jrBdD15ev58/TrXmnrFLVBHrH8BIbwGt2N4jWqz1Z9e6VKAXXnobJmyVjhjX0PGG/0NOG/MnCQxboWfPxujz059f/2wRdJp09AUeh91+sJvQsR69H29/lQY4oyYKcjAmroHemgJIBp0qmhraImwOoIJAR9K8JX8RKOqyGa316ScMslv2/c6Dxnq0jXEG66wcaTSFssyzZmOi3c7/7iLsFOHw5YiCtiQaOllKPTnmL/OveiBNm7rB1pNFuK4zEtp6iPt0lplrFO1YIWNDWSa0T2xG1txDrzprJ1h2zd1UtQJ4ZMJYc+o6Xi0ChPdBA9pBvHAL5LnAWoK5AV6aW0/U6a5MaY2Z9fku54o0r9QFjz6Gvqfo0jA8rb1AQCnPsGOb7IrBXkAzPwultq17BkA0qnnMFT3cy67A6fOlz8eOJG/nEgtxLncZMixlhAkoizj+2cWlMTmxPaavu+7S/Op1/L0ADxz79Y5Fx3Jg8aYN1ouMeiy4n2bkVLHcZ5gBX797xmlY8T88/hLrt3lDfmOMQpbiZ7ldAMuCJTWYEO20bJCxIie2Ryx3hc/0ygQxfubGZC32fk9s0qVg+OYTLCfMX3zlRmLSQ4NIeMuRgNrp98DDX18xfzXi8T4zD7k3tGzIL06PdlRUve97GKemmXv5n371EdeS8Q/fvoMV7YZTbTRIapDBIKeCtirKp0NvKdSLtl6kzd4z95IF6z0BOJ1Z/NEiaMVbEB352fnMul/05x2eEtIMTI/A4cfSwTrqYynBawNghwY7azdRq4PdyCe0MJlvmaCMKXtHDy+B6rrE0PvX1gGwuwr7kDA+c19Y7xTN96boZpB6YZp7HuNLzmeud8H8ZfMkl7KB4aUhP6+wNLBg4ddCE6+G4SX2HXH6ONuyxkvXhrQK2s7A9J96/bOT3HmeMc+bRvHx8ZHrcxoZcdeKNmXMb1klWN4BdTSU+wabGmRqSENDqXwoCvPk9rbvZHfP84o2q6Re7XbX1mj2TR0fJ1egAFEVSQs6VC+ViaGqEA1bDSiOeO0DQ91tOK3S9XX//UJ7d7q4upPxXt8JQOYVqfkmeGDVMRwIAUAXsMn0/c61TtEPi7UNHYrXOyYBp28pwg/Ebq/BAwCYNysf2coovTAxlNIc1QwNpdy2E4K/V/zbW860g2/eK6uIelk/T440Do3boESao7vKv3nYXje91XVlIORBZDeaMkM3HPGxhgj7Iu6Dk3lh8UEVGOgka8fJb0WAVahRXiiAkDAmicAV6CigHVjBDmRXckYrC5o2oM0obadVTJzjYc61nohYrg8MAMpDhZwKUiZtZ20eEAO9EEPhfKNRhqPhPblsXljZHVZpYdBdDQzoGqkfMGwOqEF1Sn7YB+W4oR+SUeTgwcTPTKVt4xHB7mvTi0jA9uO/K0bE93TmGkirV8uza5RHn9tDg9wViBpK6HVmui7SxdHpSFAk1/JmES9s3SZuGohcSmjelkivhYH0ODCY2yXkN7TTCEJ6q7BNe2VBIQsEyJwuuuKWyeGuwwxqY95qR7xfa/9uetu+piJHIhvzdP/z8Tvmc04bizAAbmiX8e+0/b7tf18ADJy/NnvbFRE0aWhagdRoIn7dDbI/4zZlzA+Kcie4fsXWD/VNhR4LqW2ux4iCRVo4Z6OFGP0UWtfLdQlG7EP+Fixe0ogj6WbIo4HuBno0kj1Qdw7GXc/obr8WfXLx6uWGgp0lFGhtqdzPh53h1y75gz9n7smGaAtkybivH0kVayPQBkO7r4Aa2kEpPTkr2sS2DFoFdQG06C6YowHN5nQMhHZZd9Rgbv3K4uhh6KyUba5HMcmgzwvH2HuNRqFQL4UF2LVuLYacIqqe0KYLOkunI7hRlAE+k5V0Z/Y9aup7Ut/j/Rzp+27s34rN2PEmAfV5Hg75tW2FrHCfjXM30yANZtQlxuc1Jj0NFXVdYGW53c8DtYfrQq+OoLzhmVzeNNipIk0V02HBmjLWRdFUSWX2ADmCce7p8ETnNpkMmcbwZEixNw6MBYZH9X62TETqxKJSmcL7g54XgUIFHTLWzr63NMBr0qt3ZTiOvTdtmxTpwn7HLUxkzBwdcddy16RCN4aFFq6BTqXOhjY26MOKlLZnVh4qrmvytcu45f63NJ8xsX80CaPJkZ9tbhpKYx3v4apk811/ec97Lg05xsvXbLRBoskTUBOfQT0oLE80hHopPrWyF1ONbYvWXb9dw7ZHKxgjLgVSyP6IPcUS11V6oR8Ctc9eTG4GFEHzsz0Ag2gxKNWQzmS/tWPwB/1+kkBCR+/xlg3s6GBD7m3CeAY5+LBW4FpgZSHSdsxodZvn+WxY3gPlwddl86LFmwrk5lpTQxoqvn++QykJ68zP+fB8wnOuTHAetudF81cmQ/kiGD8Zykkwv2fRIT+xCB5J3yoA3gLrmpB/NyFdhIy3DGCWvr9ff8axGj8p0oV76vxFBpCBXx9gKp1RNDwZpqdGpPBnLBzkCyAvZB58/x+fYNklkY3JvjQv5hSXDE4EKB7/TL2AzjWVzoq/+tuf8YZX3/e+WmCZjA6bE7crd+0vdw1tErbyOW/FnADtdOV6yudg58UZ52ff89bDVow66fu/5hmXz+a5jLE/dRZc36VdSzKul/xjRn4RrCfemzQm2BA6oIeDNOAu2F5MMgkvDOZixx8rdDa8/U3D8Tu2vCIjFt6PmOdF9mJvz9Fmvv/la8H8VcX9Xycc/7pgeFFITc5wMlzfe1eGlqHFcPhATffyRnAd1U3ktuIa97sBac1Ojd9YIXX57JT/ydc/O8n9z/6z/wz/6X/6n37+jXGAzNTk1ilhecuK//K2wUYD7gryWKGpIaWG1gRtyJDGCTE804I7AtqgD+PEKlW4d9qwuc3uHU/T4n0sPamgIYLAzpuTXss8moMTrkvtf9/ouwIN84qEhHsvsAWkFbDThHYYSPF6uqCjOiI0cbiusNOEemAbpfUk5O+Dk6GcnKKRjJuMGoa7BcNQcW6CtbKKFwvh8CPRULTNGfFGjwSgjQnllJCuAr3KFpw1JsA90fUqv+mO0hawvzKIbPduY/7JDRBKJXIdQYYKjT+GMPXgr4eORqyQBnkhEmvXmZTJVKBL9ERtW5AWCe0+IfVEIYoJ4lQ5W9xs53Qk9W0ceFiIsE8sAJwvNKUaMuR0QtfbBj3aWKhAtBf6//P2J8uyLFl2ILa2qpqZN6e5zWuiyYjIDg2JIoqEFGcUDjjkjL+CGT6Cf8ARZzWuAacFYYlQigQBEoIukYhsEJkZ8ZrbncbdzUxVNwdrb1Xzc182IpFCE7ly3zvXj7ub2tatu1lrbe/apIhffvf/xC8//j9+YKckclnKQpjYQZCPhHGVPQ/9abeSlxUUpbDq5fzvGlnBHk59nJB3J1qyaxVfr5hGS2RZxWeg4HPgvIjT+bvSEum6kt8k4na/4UNUpZLxae3dXbMrRDtEDdbqXc1m/345XNmDaJvHGjILNDWRt1kHAEGBseKLLx5xGFY8ziPWEnG5DFjPA/IlAogIs1XtBm7Gpqru8LoWzEcEVdQxoext9m5RK4yb97VkFDbSa7s/nWIgRdmRrRUIZnfV4JgA92bYBNN+WdCvAR0VkSwBcbt92UU2dICYWrpaGtq4uTHQvlQJU/bLinIUAINF1ttWTu3JjSMdVA3eHI3vq0BIfN2ytNf9yfn/i1+e/tXndr4pYpQpYr0l5WT5ogBTwbBfMY4FOQfUEkjtXHnQUkSG3C3JYKJmvrZM0RIvaUgWW4yG4mGXcVOBNnuFwjg9/d7FxjN4EiGl2jivAC1uM4CjdMTg+BoDgiu2n2d2702U7srONugd7/aElcl5yIpqHcDl1mw9cf5ivFl5zhXOb83TgDpGzuNcBPEClLOJxlmb37mH/NsCoucCLD2phqJ1O0QSxBCmrfPkqJrzgrBmInwOI5AV4XTpBTolbFgPE3wGrI/9kVIgZxuNotrRSdaB3eRtn3e8fUb1tsA0LxzxNi/AujQaiBQKmyGGz8XiNr4fkro9bvQStFSKrpWKcHcLnUaeDz4uqBWlAn758D/jlw//8+d2bvcLWLfoQr+73irqrgJ39OfjmLEbMi6xIi8c0VJGdna2iWCatXPQvFve9ilMaMWC+ddEALHAj6vfc79ZRuliZxb3OJKNKuC98wX04DNWio9pMhrJGJFvWBiKl4pwWoGaEF1kaaa/qjt2O7fv1ygE1QwtKOHbu4K3b54wxoLHy4Q1R9SjYN3e7yVg/y2TiqbA+zImbcV3oKogJOkK2YZwAoD1JuLyiirWh2/Y1VEXvIStiwm7IQBFaNfZnkM6VYzvz2ZXu9bVrSkgZit2hM3e96to9xnr2DQENAXInDnvNkXU+x1fs1AECiJt3rHT2Opoom/LCjmvwBCR7ydoEBazirZxlCHXLkZl8P46DRxFVjvSjolwhZxm/Jff/MsftPPhpJgTkG974VWHiuF2RkoVx92CKWV8PO3x/Lij71z5PS46YrZCxnqjVpC03G5gYT0sgt0HxTkwcZUqmN5JKxppJHw8iKLkiJu/EowPitOPBcu9Gp3D4MQ/PyPGijIfkZ4Y719eEXY7v4btAcZRx98obv70CaefHfHpDynwdvNf2Zl8/HnA+ccF8RwwfuSs3eOvK4ZTbaiJ5SbgYki88y9WyFQg70YMT8Lv9F9H1KTsAO8qvnj7iJ/ffcB/+u5rnB5vKEK30vmWm4oyVEAHztUdiGB19KXvo/RMe3R9FXaOgbDwtWVkkSvOitu/LAhLRdlT8DEU+v/lNuDpd2z28My1CBmYPhjs/MAC6fDM+DHvOL+X890BycDuU0U6VazHwKbgDri8EaPUBIS54P6PnxE+PmP+2Wt8+EdjQ6F6Uuv5FAuV/A41AfOXBTc/e0D59Wvsvj1Dg2D3fkDeRTz+PGF+LQ3WPb0XvPmPMzQFPP9kwPxKkU6cn+zzhFkoAKRIKwA68q/MnxfNfuj6Oye5/+Jf/Av883/+z9v/Pzw84Gc/+5lVVkMPCqzq1zZUFhRE5JqIbV8ChpOQs2RQxS3cskxxQ4RWq64BErTPqbRuplRFzQIZgGxBfLI5c32mpWX/zntU0FmA7xNfBPFNLbXWrujoECn/U9G6lB48yDYpcziWXa2dH7uR68gqWhgKJADDUDCmgnW/Yi1iayXQmfCS9RAaxy2sFWkz4xABNvfL4duBgkcm2kAoXFd7pZiCVa88WCngfUhtipMAWteriTk5PC27aEJPkFuQUwBgA62pSohkjOyyhtrfW7VboScEIbWugGy7jX45fA4ASulzL13ZNkZ2JZsQjwVh2/EsLzuU4DP6g1f/W/ze/T8DVJHrgv/xL/4v+OwKXRHWLy2CUkKr8JU5klOdjfdxMd6Bz4m1qqE/jy7Mww6YVkuMYdB1AXmq8AKGVWUjOIPWOzIWMFMwph/cPcH1hBptz9JZWafRYScV3d6Bz/+u3JMNxqtoMDx36gA4TmBT8d8PDBqjKM5BscjIURuibX52GTlGg8UYW2R7ixgEurF1qEH4PaDYPtMYoEifP2fnQvnaVIVi87tuhxtRo6uuWVsD3zv16m9V5V5L4UoB0CHMrYurpd2aSIfHvuzUNpVm/7e4seOInuxWtSqeoI0XipF7XRQYR742Rvz+8Z/hd/f/K6BkZF3wLz/99/b+tRl2H3kFyMyRa3UKqLWi5IiyBmAh79w7Ps0ObByc2yW54salTcZBKwCCBezKz9EFDaEAwBTm+cyCI3PqJvkLDnVz9ElF75L6PrPvMaTmp6DKmdwbG2/Ky/XF8/Zn/qIT5cmGRkXdK3SsGIaClApUedbMSsqMCjltALAcWSCKSa0IJq3K7vu1jqF3dDdjSNg894JKL5bBi2Gbe2SX1P1z6A4HVqAJ2ooNTdxmK/S3LSq4fdsc366NEHqhxWHM20JPDNRYmMYXv8PXtfeqFbKUnuS+HGvm/z0MkFihWiEuQudJsX+X1Pf8H9z9d/i9w38LrRW5LviX3/9fzbAUqBmSWYSpI0x0ytakcrzhrMLu1pKglwhZgolCodkjgAY3doRNacU58NkEdlh8vmY6+T1ZjNLG9aAJPeUD44hsPLcEIDi83vdB0bY/vKNbjiPP/JGzeduMb4A+yURBAXCerJuIvaZ3aAxhVxirFedjBoqUpVBxu5uhAD7ggPNqKjs5QKMiHwLme4tBzA9ooMrCegitGOBrVpPDnUN//KbOOpxp62VPwUf/nu4LxOJEAAiz7eHgybraWL1+lrg4GM8uhVY/V/t+QgqoNzuiR6ZoSWpXGNeJcQqpXB7/pTZqi99RTJSxFz5acWUuvP+lcJ+6LkfRtl/VJz94MQpA0xtxMbgU8ftf/+/wi9/536MeB+Qy43/61//ndq/xAqTH4P+LOgrWYUBJFfOFhlefE+ITubt6k+lXz4nHxXNso3H8XI+L2N9m14GJCFWGDcYfBCUxEf706QA9JetA+rODJYLcd2WOqCFgskQHYJex2p5pSsaFcU+xZszue35+XLg+wxOg38S+RwEsN4IyRozPlZzWY2gInPgYoc8R6Zl5SdkpRx5FoI4VCIoYKlKomIYVz/sCXQN8brVkgVajGZpA1miF8LJXJqQLmhZJtBnwnLfuIkz9zNMgyDtBDDa32mkOo3FbvzdFa/MnXdOiIz41WKFMrDCRFHkUIALrnudPMUEoqfRHpJFxDcshQeMNNIDd1qTIe3/OfG4h90aMFEUQwe43EaflHjdPwPJqanQcBDTxKVIieK/rXWrfMZ1oU3lPu5o+aEPruvhoGyO7Yw/j73L9nZPcaZowTdNnP9dlBeJkQj0wMY3+73Iidmd4FgyPLsYB+MwjqhGiVXz01QgpiuFxRcylcQ5EydF1xwagQWDWm9Cyfg4e5oN0cYQyWIs9CUoQVJuFF5dIbofDs7IivX+GnOc2B5WjG7ZBkgUIl5ljVi6zHZjWjRzuTFQjbJwa/zTl2UmRjitiKhjHbJsnYwgVx2mBvgZO84iHxz3KOWF+zbUNObagczgzmHNVXQ8qqfobAZEmpNAOQIElM+hUx9VHjvTAPzzVFuDoNLTAhUGlBZPeBfNrSBT+AHp1/nzh+gCQweSkV+OSTWOD3wCgw/aOw5DayAksVh/+IYVfhxw+m0cMVmwJAXJz7ImHSCs+XEHjXnbpauWBLsO1OJFfgRGJRuOEmAocFNA1YJUEXQOwBsgckJ4DwkL59uGZIgrpUuBd9lYMCpvDUDlGiw4hNnGFmtFgkq37pXR0eSebQIVBiWRBkGqJp/O1jFvt9z+kz5M34+KqaE98ZbMW22fuCW5RaKaQR4w8AMPqQRS5mwCr9V/sn3FIC077Eec84Pv9Ae/ne8gl2ngHLqiGYIeU9nUCIDXC1TLjhUGyWAASzyvkUtu9qAgwkh8ua+lBeN4gNNz2vDPiM5Yv5oXHgUWjlaNZfERX5yaW6+5rKVyv3cgkJQRotgDFbdmSUrWAXmKEVivsuCJy9c6bBUubDpcMifuwjRkSaOF7N4vNhGxiBJPbIEYtUSBnhFwQlM9tO8pGLws7CpYkpTMT0+GJQX8ZFFkUeY6QU0J6DkhnC2ysaBmXinSm6I2Pagszg0MdImRgkaKq0U+sg5cuFOHxwL9GQoE1AHEW6GqcR4daRbRupBRqIEQveG0TV3WBPg9yFYBAMEDVbM2fhY+Ec0EneDK9MXuHoyrPuzoA4dWCNGTcH89IFhABwGU/43QccHreYZl3FHcaBOssSM+K8cm5sjwHhxOLYPlgnblVkZ56AAQAoVQq2XqhdWPvuh9Q4wiZC8LJRno4FN4T9TVDns+0zWLJpye3hSO6NEUgjV20CyCy6TIDKW2oHmKFFm3Cf3q+sLCymwiznEboFLkHfTSKI4McvXOZUR+fWAjd77ro3dYHxwA19I2EQBsX6ePiYoQOm8Q8F/rzBvPcnDelQM42tqh+ifVo/NhEiCzWgFzoj1EEkk1I0BRMfYanqymXgX43nSmg6WcEFGQaCMdr1IFiNLsPylmf916Ypk3VCahJsR4FlzfkQS635stQSeU3v8hOUG1IIKmKfBiwvLI2f7NRRTJIbzkklCG0OZ9lxzUZHjPSc7YxWcZZNyQBIZjWcU2VM5+Fgf/Pb9/j1XDGfxx+hP9aAn3EifzxyxdA2QekZ8IuXQ26JsH5C55Zu3cVuw+Fe+LYaV2SKQwa5oIh89wsU8T5i4gyCEVvVvqMdCrwRokoockhcyRRNapOvhm4FoVFo22jpNmLFQ2auNR+wHK/N5oXv9e4FIST8XwPIxEeD0TzlddHlMOA9LQgPpzYgT3uKM44BNQoSNXOlhiQ/Px8PHFs4u0RetxxLxuVoI4G2c8Oq4ZpmgSI0U/0Zo/66oBQKmKpkI0qv1Rg947UQG8QlZ3gktmpHD8FJsEndkEvXwhO/7QgpgL9dsT4SRpSZ8uVHR+1dwoPaLDZsLJTmy6KS2QXcXgSxD9lbJiP3AcqTH5rUpRb+nh5GPh93wP7dxWXV4L5dU/CWgNN2fE8fT0hLhVv/90MCHB5k1BGwe1fFKRzxXIX8fwj5gann/AzX/+R4PAXF5y/uMHlywrJguOvArmo1oR6vgHi75wY3lw412iXMsaQ8eZwRn4bMS8J88MEzQHpIRr1gGsYMkWZ8k7w7r8R5NcZ4RQRL8DwINh/z4Tt/CV1enbfMz5sTbAEg/R6fG8FuESY9hf/5hGyZDz94T3OrwPSbOPGSqd2nr6MWA8UPRyflYntDZ/T5W2AT7uQyud2/IYibPFMP3J5OyLvBNPHgvv/+AkaAtY3O5QxYH4VkfeC4VSxe5eZY+2ItPj6X2WEVbG8Snj8+YiwAtMjxduqqdfH2XJABZ5+TNG4dFIMTxzxNL+tOPw64PV/nhGWijpy7+BHA+ZEkeHlTlHnTQz3N1x/PyOEfuCSAqjNBpVCzHlcYGTvDklzCXcmabDqOFp1UoKyytWqbugdMKvIbY2/jY4xbkwjEYl1BYw3c61ChP6GAJxjxJmgFT6jEd7x2ghriPSOEl9jyqwxoIkcFEX1A1N6zC4CTKkgxYIpFsTQnVOpASFokwnXKKiixoUDsnE0+3cHgnUV1IUS7Cu10QVROldoyz0xonjjBXpXaFvJb4UF6yIE6ff8cv22iZO/h0M1ldy4l921vu7x+j3sWV69piVf0t9/+37erflbRrn8dVDc9t7bz/VArwXP9qfSvnUNhMuunA8XFjEoCkx0xqr8L0d0bC/rjjZZ+2LOvxIGBDHxC6DZUY10imrdLxUGzUHVBGvs367gFS/u9+V/v0zuf2jpVL0RufkZWoe5CQkBzU5Y/S/YxxUVggrBEIloQFTOnExMAurwEq6MtmZSGb1xi9le9s504w7a3y5wU/r3+Kwj+zddWzv8wX/eJssvXmM2JCINovxDryMc2W4w4vMrOG8p9K6uC08B+PxBWLIc6uc/jwJoRJvT+kPCUyG0TppXiamSCpQlIKcIXCLCKbQ5iywUdpTCy8vHoagLvQzmR5SBqUIaZ9zhuT5SC0AT5KkRkNR9nyOB+tra3y/X8Qf2ckMJxBf/Vq/3ilSFWqGIya3Zc950FipQa7fzGCqCKHINGGJBiKUpStcIyIA2tqYlOVa07ONmHNotV/ZHVA6u/LPbeRPdCfbvL7uuvhbe9a/aE/i/zsY3ia6+5Ln78rrI2vYM8Mv35g/tN4Mpf/Yv/mwCefRSzSb9HqItmvl6dZ9/9R4vfN52pFaMtJEYr7psfC3YJrBioUMTGb9I67wEK7r0NUDrqHDd0ETXAGmCZS1OQbfrz45S78R4EQjY0E60xzsb33QV13CbwxESTYzNfXPl3kN64YtErMNknbsAYBNf+RdV+3uQiilk7BOh3aso57TXgDooykg++lbMq1HOgDaijJBE35docc4VRl613aN3hQFHM9hnOKxeO82g0dDaPV7fryvpe8EWAAvPxof2InSbtvED9XaPiXz/6aZI3s7B8OLftnObXePEn6PbRjvb0O5BfV+7er53ilUMfXT91VzjQCPIya8Whxsl7krcrwJ1DdAqGNy3Gbc1LsD4ySaczPT1695ohEYZ9MTMKVceB3j3r46ABjvDPZav6LQLZSKWd1zLtqfcBuWlLXmRyIRdRxZA+p6A6ZXQz60HQb4dGWssXRMoXcjHzztLxOyX2fAXLCXilEcEKG52LB4uaTSEqKFEDYZLZFLXTGnjh2Br4Gujm/VpsaStg7z447+uMH0J7evX3kfb5/yQr6mpP5OQ+2sdOu0cYkeP5EkwRrE9xEagRm+oSesYwygHpJBSS4KQdnuelryHtSe40RNU+44+SYHwa9kgfNG4yGr0Le6l7kP+tuu3TnJlPwGrQB2+Kvyi40dW6f3LRwv2Q1a2xrNieqiUgl8oBw+gHabubMJagbUSLrKLLbgH/IGYUzTDyHs+3fVA3Hq8sNpKbqwp9V0o+d5GCOmGO7Ebgd2IehiQ9xFxrUifTE11ZGtdUgCmgRymLWdUBPnVAfl2NJgN12R8EsQl4DzyewiAvESEWHG3u+A4dKGAqoJcA1Ko5FSKNqehUYCBMekKq3A9s6Lmw801BoOkqomJKMouGrRBkPyAa4I1XLy6pzqlVKVwVa4m4GF/z+RUIZD/qoddTyQdMudCI94tHQeOK9kknXq6QPNqY0ycc20OaT9157+s7fO30DWZDDWwm/h6VXJvvbNmr9MgG96S8asdzgx0BWegfW8dEiTUFjDpVgTIIaZ8SKziz+xw1STAozQhhnSmrY8PfDbjQ0G8kEsULmuzb/UDU0xcRfVKLVGKIrZOE1BFmkS9B9TOU4gLxVNcxr0OghgUupIjjAW0J3W+JE8NBsfbNpVCNPSO92pdkpcBZF7pzFLk+isr4DUyCIwLEGYB5oBip2gMFbuYsY8r5ppQ1XjDNneuToqiXMcO3wRQ0UZ0OLQ12mimkBU6G3VhjOzWWYLg+1oUNk6JQUqLmwz25nZxNRplo9gtyzZg35w4bvvBqABRoGr/7fsBIBcRmUmlJXZthFCQ625whr1XRButBQBJ2OUCbBxKBSIgKfHs92B1HPj7U2xrQI5u6F3pEPjMfHRSUeDZts6QuK9iNOgcD6Txk6CeBGGJhH19EuzeO5yZAc/0qRAKBpAqYUG4ZKWI31oQM7mzVRPyLraA0bk3agmHemBpukZ+oK5HwTx23lHI3gGuFJLxZM8fUwpXCVdToBWhzwvSnrtUdMi5JVOSyVEVgxEG25sQYHqgngQk4HmasB4qHoeC3bjidlIMaUUKFUOsLFg2GzK43c7s1DpzUhncSWGgFheOGQLQ4H2tMBbo61mItY6PoBUTEALqbuwQ7LYAVlSYBtqE822rfVAIjc6DXCBBoNNA5NOzAvO8mWO93Qut/NZHuvm5OGfaWC6d4z6knpiKAPsdTWFr+/5v09g6uP6+rRA9jRTi+oECneZNQm5FP7/WL28QVo6yy4dg43sEZRVoJS9PDEI3PKHZpKPF4sz4ZXxYUWNA2dHe48XEzUx4B4W1Jt8n3tFwnQ735y4+RZtjXLPce0LicF7uD1dspV0IJJLzrpH7Yvy0okwB613jAUEUiOeM8LRAp4g4b5SEVW10VMR6G3F+HRFXxeE3K4ZnxfPXNsJQQFGlNaDaBjuXAc9lwk2a8YvXH/C0TPg23GBZEvLM0VJhFeizJxuAT8Ng940UteFZcfiGi5AP5BCjkk7GoifpWsO5QjdcvLAq0sMMHSLm1xMQjNKSA2StTRPA91DdJ9QUm2+qY8LyaoRUxfCwUtE6CPQwouwTnytgas5c/7obIGtFfLh0W44bobB9guiR89aXzLN3x9ixHAdouuOIrmcmS+WLe/ouS4LbDN1CwTKt3N9b6obE0OI1AGgCilNCuRrhhZZslR01BCDGDw3Ack+1/HAO1l1T7P58ar9XR+DyBzP+l7/7V/j3f/JT/M7/EDE8ZpQ9Y0qKEqJ1BEWBy5cm8rQAw7N/BxY8Lkc1XqVDUQXxgb7wfF+AoeLhH1K0b/dNxPEvbfrIrmt9ENlDEc/1EPDwTyaKTJlq8HyKSKfQVNOrq5gn4OM/Ejz8ATvUb/4d5/+O1mn8+A8i8u9eUC8J9RsbIxqYlP/m+3t8eDrgq7sn/ONX3+LX5zv88WlCEQqxFQXyMWF+FZBOguk9C8njJ0F6ThSri5w08/w7jJGmD0rRqAvj9bgQat2aBWp89gAMM3OhUIDz7xx5n3eBPFkvEKtAfIY90MTwnCq53tKe7n9ZsP9+xXKfsBwD4sozXhNw+jIadcN80CVgdyQSLO8iu8kn8pvzLuD5x2NLwlWA8pXZqVOKIqmWoSjufpVbsaUOFJocHokeOX01Iu/Z1Z4+0Oc9/2REGQSXL5jbEDFmBRIvIPwdrt++k+tdNTUvLbCg1P7XOzvFHT2dPRe2Ip4LBZyWDffSK28epFVAXPlPNpWuiMb18MsRSS7XH4KXM66rS8FhKYsFuJ507AfUFFCmiGrz1qIFSqwKBQbLCYB1MKCdO6iDiTy4xH22kQLi3Th+Hc2CWgKGULCLK7J1izMiB2NvL9lULTwAjLbOF0CLtG5tLehVS5Ox96RBqsFuKiAmYuHKnZoCyp7qzOGy6RKrUpylEtYsVS0Js4SiSuM4yry2gKLbhq+ZJcQ+cmqbVNgcOCQLzFcLjhrfrKK1ZlIEaqBYTBMZIsRMcrefzzoHBlveXm3kTu0VIvXvEARXJduqbTM7eiAU72KBDkbJtxie6bDGJ0LX0pkiAmEpzV6gaigAC6a9QudQSPuZekfUijh1gzx0O9dEe3I7dycTsi21VVE9+dtWmXH1HV4kc6YWedWh8eq08fOuhZAsyN7wciUL7VOlBUbBjMv/n91rfk5NCsfSN25+ZXLLZEf7AWzwbu/kKuy5bSvvCuOBk1NKbqFc37fNtb26nC+uCh+nc8WFha2JbmwT6BzP7Xq1P94WsfV1+L/xA5vvA5jQbl8vlpyaKfBzQ7dV73j793QYaK3AUq++S7f7ytfq5r58r6aIzstjN4bIAhOoeCQMHwBc8CzMFfGSe0AG+/qqhtBR+pFVKVoHdH4hKObUNBd8Pe0ReleMc9FZ7Q1OIzGur/9p6+tdTH8eLzqVLsSHtVz7u/4wzT/VBhao9gAcGhZWQTxTQEVDQM4ROVZUldbtki0X1mocIj3o33ZTqtcmXFjO/Leg235bNzFfLNIq3bJUFhMFkEThMU+U2+WdepFeaPN7b3PL1Wgq9llue6VConNnX6zX9ve3P6uVgkKltIRbh9SfjXdrB8/4rv03O1X+nSyZ9n/fzKr/rFPc4ge7j80+LVNAiQkhEQrXfRb9aJiJxBmegOkTOXDF2FpxJhwxngvi8woZIjR0VVyHAW6f+Xb2eYMferdSu4/3f4fw80IGkvH1vCvV+Izg6xQ9CUxrRVhLg9de7aVcWewFEILNKvVnHMl1LYO04otU9JnrHn4VJl2AFeQ1YC4JKRTcDUz6PqQ9ahXMo272pu03a0qo3X/Z8UvGGcZRFeAQr7pzFJniJvBOuY/vksoCmndY68DOO5SiUq2A5ZxX93/Wya5DQNmzgDU8gDDliXSzxiGEPxvl2ZKYQMOUxXVnqv5Wk6wxQMZIc7xsmgDgd9Yd50jJmYi7uqdAmHfagc28d/NhGmycUlECFAT8TKDNReZz8oO+24d/fyrU09bCDHZtpwo9ZhSLp+IsmN7BCm6ADsDx/oz/wxd/hD97/wbxckA6ZdTJxbuAOhqv1Hi6ZeTnDgWQ2Tmb6M8+ajdMZa7gYzIlKcJhQQgV5eOxjb0pO/D5Jn4n8nNpB+sdO7V9xBGfsXNZNWr73HxfgaCI5wH795ln1lpRhoA6Rbx5/Yx3728Q3yfu01GBCNRLxKUK8k3Am/EZz2VEMCHdaHN0VhVki3fjRRCK2LQBglF1Zz5/pwgzsP8WJrprj6p2XvE29uE+pc/RQLVkjZ7UE73pM7m3z7wjNsxeEqCVY3rSx5m27xM5VFEl2JjAnlPVQRrk31EKYWXulHcBee9+gZ+x3lCgKl14LvozEwWGp4z0uKDsB+RDRLoUpA9n6BAR3tIA4mxNyYEFbYqOKe22UtCMe7HH7H/b9dsnubVCMw9EqhQqwgYW2zownuAW7T8zJ1THyOrXUhGfZx5kLRIwJ5UpuMQRFPbQ7PRvkIfkMAdu5ho9GAEkA4OJmpSRVbcyBoQbSlnHCw/uOm5k+y14dPECWWtz+gAdIlyB2Q7d+HjBbt7ywiqG54w4B+Td0CM2HVD2CX8a32IcM3KmLHmMFSlWLGvC+jyQG3RQmwMsXV7bpNHDavOG+7dCutDRs5uJduCVMdghQIOTzHEpXjQIdn+ctQerkI8mXrNxnK5MuREakVw6x3VIBjF7ETCKtM6TQ8xkLeTpZumBuUiTzqcRBXJqRajYWXuQJd5p3jyDJrevCkzWeXahLf9v5y4rR+C4OEVNAeGSEZ4v1yIsMUItmQ+XzLFXC4sMLTAX/v9wqoirYni0auxcWnebCcbGtisgasqwgR3ddHYTcRsEgGDOgp1j5yp6sOBBgXfepEiHgGygKSxyCMfvpMDqcwoIa0F4nHtwa8+xTgGNy2rPvl0WLKvPyPTHtXL4uFfgyyz4sD/ieaKy8vvpgKdlwuNlwpIt8IwG+wmCOtGpefAntatKU31Pe8c6AXKXjAJhQY0VvkSBkGpPvlUhS0Tw4kghP5oJkYsq+ELZ3170KAW6rhBNLdns+0ENYhe6SvK8AFoNsWA89miQ9mKFnm2Cuhlr5IlCe71/hvHbkZKpNfP3xJMW/xMD7b/tgdG6XjZLtCjaaLTTBdhwuHS0kV3zgjDvkGblFk+AumCOAsOZh+WV0r35jlgpQsGCHH1QHSMRMBZwSiGKh74sNJRKjT0YZrdTWg6udlDXtEkGto8hCeqULKkGELSPibO10gDODRWhgJkIeWyzBayH6fNEF55Ump8s1pU1JEJYwSQ3AuvMGZNrjghBrUYSsFwG0kk8UK92r6R8oew7jFAKbPxF5Nm0MBByDrp/L6kBtejVGrTioQV6slJ9Fapthi4qfxeg/7xKVr077IrvQPf1Ql63DEPn5Nq4ni0CQvcTC0unC5paeYpUqr1wdqtsi20VTT2fa0zfKCfrlO3Yye3CYAZpD0xw63QdxnT0BgtGYVaE0xmh9hGI03cnpDgBFUjnCfEcbe35+eMn+jAvyLPzyOfv1BME4QSFMSIfeyAYMpV+d+96wMrupemEtDxEWzC+3lqBrwW30ildiyBAmziNv58GwRoTttSXGoUaBYGzZL0JUJOwi2gFBUexuFAbAISlYnyU9hllH5APFAJ1xdMCAFVwmkcUS3Yf4g5jZLF+LRGlBiKNoqLuFPmoWC0B8n1b9hSzCUtAMv9y+ZJVhPXIMy6O2gSOmpjO0OGpGoB1iUh3/L10KoZKoI+pQ0CZpoYmAdChvvasoIp0qhy9eFqoTi6CEgPipWCy4kOcSy90i7DA70gwL5YuFcnE9uoQGI4cJ6Ao0tOC9DhT8XqfUMeA/KOjfe+M9LQ0+4I1FDy57ZQsfrYmGKqLZ674jNNzQTwt0LXDAuZ7YT3RbXDgPXgiChXgEhFPAfHEWOPy1pKTkWdyXRL+b9/8E1zOIz78wwHDKVEMqChu/rLg/s8Up7cRj7/L9x4eGXvkHbDce2zCMzg9EWE3v+bYxXwr7PwWYHgfAYlYXxfUfca0CNGIIPqzTMDlLWfeDo8B65EolOkDY/r11r+zFYhWYPcOtp/pnzmjlt/l6SepqQ0DQHoSfP8Xr4CxQn92RggVN7sVQRTP5xHFYpW5JiSpuL8547ImnJ53KEtAnArSzYzlNOIcRioi23MgEtOLJPRfFNe0XCUFpBPRIQBaB1eqIoD7Yb4zX3Hs8GC3abVziAJtzLUaklaof3T8C6JNlpuI+vOjwcHZYZ/vU5trqwnGr+b7r/e087y3GHXiZtQomB7Mx9lYsvmVIB+Yv4VZ4PRT7mtOm8nHiLwPmDVBvqImRDHV5OWOk0u8a9/gzAt9xHpHW9m9w9+/uvJfe5XaVRfXwrm1QduXi7PB2UoPtoMlt6HYgbWLyLuIJAXx0Q5e44n6xdczuPiheWuEcwJl79UbLlA1aWtChvg9ymjB8c4qfqtieGJSVh37LehcGQuCpeQrmKmsuVVGXUQpPF0YUOxGChOoIOaKEATjPkLUSd+cJ3yedliSAtk6rVNF2GfUJUJOkQH+oaIcAX0KSE9iyTyNJ6/WnW0JgVJy3KBV24tz+IKJ9giiUpm2pn4wS7FquSrqOKAOgfVvV9X0rjdM9MM7eqUysA9CCHcIUGyCsmZxiXvTn2FVOmURyDqYeEi6GluhnuQGWJJbexfYP7+qqVqzC6VTpIOx4LQmgwOl3vFpolxmX2WfCJ0KgvDkIwfscu6i2flwNoESz4ns0I2zmvhIRXpcruDYLdBuNqUIHkBa5MNiis3fU0L6ahIEUQQT5Wgzywzy5RX+msypKZ9nXWlnW05djQESFBWxJfp1pDhIvAo0weR1TOxkzWsLZq/42VYB3nJnw2qjAYyrkrPgchhwniLeqeC0DJjXhHm2iE/AJDeAh6t1dF25kCe0xRfFJOaDdcGcB1l8Bp6icbNUUYcInxssVRFsbrSUCjlX9KhSrpOb7XP3LtK6GjR40/lsQlE8wBCDFX5Y9GFc4tl/hLyYYyvWTRNTht3+G0Ta72otnHMLQMahd738u7uIm/MTxwF13Lj3yIAcBmlss5JfXDoORFLMK8JSyJ1RFixUiE5gEcXoEEArKMhiHYUVCNVgySMh2V4NJpphM8JtOw5NXPnVktlodu5FzXaof/4z/pyz1ImyqDwQVkvioheOTCk1oO3BCCZGPnYFQOepeRIY+mdJ1t7VtUAiLEBIAp0jsgL5cn1G6dxVbD2ZrTsG+51fyaIlVacpyhKyoF4Y7IlakdMKCD3K6WcqkQsKJGn+s43ymUazZ+2HgxevvNMtwk4Vuh9wKg+T3KmPX2uQ/L5vfNyJlAJ5qtBlhbgdryv0dCJUfhh6jUKkFUuJPjC7usxALXxdcsTDC1TCEJtt8bn5em5GoM1Gt8k9yQ3ff0LY30BTRDofEOeEuALDicHW7kNl0pSkoaC8WxJMV0QFqBOL5WUKrcOqkWJI8ZINLUCV4zEYb3Dwwo3wDNkL1iPH8/D50y7FCnAarQ6l2HDVGINkG02YLhSO0RSYiFrHhQgZ49ntWOBr5w+A4HD94poRFemZCdT8mkI+UCKUXB0cCixLNJMRpFhxHBekqSBr4JSBGujTh4qy40z5kGHxITtvdV+hj6HxPuc7Jm0+8qRaYcALPSpW2Iye5BPuWvYUCI1nFlzUfHyZAvLRZ/fWDvVVP6/JN4xrYTHosjKeGxLCEIFsya0qEX8VFHbzRsiYDGlha2njg3imJmiILUZK3z1Cnk6Q13f0QfuAyxdsetw8Z44M2qBs2n6SHo86CqTxJg/BlIctvl4rwtOMsJ7b76+3gpCF6xd6sqUumgkgzMFG+QjKXpG/yMBoAmNBkdeIP/3NFyiXiOefV4RZcPiNID0Dd392QfqjXyH9s9/Dx39sIk3fsxA9v7LRc0NF3BeUp4Tb/zwgnoH5jUJuMtJQMO1WPD/sMP6HHeetDgElRHLJKzvX6cK1qCNQbzPWI4WRoOQJ16EXvWtUINE2du9rg/oDwO5DwfCY8fyTCZ/+IJgbZEw8PAP6TcL8kxW/+Oo9jsOCr3ePAIB//e1P8enxAADIGjGEgjf7E57ihKeHPXCJSMcFP3v7Ee/3e7zXW5SyOaAq+kEZGX+ViefAesNOtVQgfVMBIcTXC4BQRZ2YL9QRmF/xGcaLnRUAkW5qNLrCJkcTExfGpcffEJa9HAXLHSkC6aKog+DyVhpKBACidZVVmBQDaHQJbyKki2J4qldFJYRA8bwZPDM3IRa/fyIvek8/mA9AKIRux0WxHgMuXyh0YIEMBRg+UeNGE5AHYHjk6+vl8/jlh67fPsll+xEwGAQ3U19g34ANxuMdXLUFM15BOrPrVQ8DgwHj03gArUMk1MMkpHVzYJTJsn9/SAomuFEhAx1sHIA0C9QqHH5gBBNMAew9R2mO1WFedTBorg3vdk5rGBODZodpAVDreunQYVTuWONSoReAiqAM0NeHiDppj1cSOS8tsAIN1uEmZW9CVEmhys3RZMQrkwKvAvmbOu+mjFTiDRkoe+PwmOOHOX4o4TTqMDnD88s0GkxSe3Dj3LUYmDT4WKMtHFa1fY8r3lTdcHdD3FQrlUmr86h8/rAqtAo7AjpYRba2yn57X9k4FZPk90Bjm9x6twhREJYACIdtl50gnS0J2kJY1xUovYPnduYzPtXG5IRZGy/rpaADbOSObCq0alO11Tg2qAxmad/BuBEd5lUTN3urDG6i/CtxJotjm+AI/PuaYzD7cJXNOgbU2x0D5LB5VrCAaohMFIPYKCP/UCsUiHEvhY4TqIT9L/Z454AKYD4PKJmBUF03mUNtX5GHcARUFBitMGZcORelYMD0A0mpfV+NIHw58gCINlZiK9TCooN24aUttHVrVwD/P9rIGefaWnKqZrNapfPIXbhNLEmutfNurQPQoM0S+CfiGjFx9T2teORXKZ27KNwXCFYMivSXbvtUW0dDp4TFVMQvkf5rC7deM6SE9tneRfW1DkWbfXkgHg3yGPImIYyx27j5kXZbKZB7vtmTDRq9shuVd9KEPJrmgr1FKAwOtmO4ri5BQ0CUXbr+7OAJIjYdnYC6c7jp5uDc2otKK65xJF3gXggUYYkz/zs8RnaIk9K2XGDFxs40YZbUE/lGJVDafChChHwWNEGv0r+/03S2UESA71135ku3xahhgz7ItSeKm8SWHNnAIohTKraw5S2yIYS+B4Bu582GTMk8xQ4tts8RU/puEOYh0af7+2wf42itfS8q2VnTXyANQeL+EspCVhPKEkFY0ucj5PbUdNAY27xVcqPRYOL0bUA0/mCxLhgs0bBf4bKc6yaJ4Dg5gEVKL6z6uUwYpbS5mD4ZoolcOXy98o9a0c5nk2Lz7F1o0wWcQrZC3sYuvIjiMZMGFq2c8iHVVJqXDvultooCK3UmQuZn5ENAzYI1jcipouwCUqrIJeCSE5YcUQo76C7eRViyUkvkBixWKxAuRFbkI8g9tckBrYkh/cxrBS3lMyoJhrgD8j7aGUQfIpnxWZxrS2hr5HeK2YRxiiPdlOssgnqYIFOCjomILi/uihAFYzBnWQt92N1oKIRq8UI1kVQhSnCtVPxfC33zcW8iV1zb4al2Ox0/D8U9mfWZwGWSbuuRvO4amQBiJS+7HiboBm04PCnqrSUYg3XnspBdKCwm+1iYuPCsxDfW1TuSb9pszWhxasVHqGB+MyL+9Csst9F8lKBRplSNX25vMCguX9DHl5uKlCrWxxH6qwNSYfe1jvyccGIS+Pg7EV4A1EhOJr4fEGegDHz9esPkNh+0zYL1cUa+Jy9v+gSWONdOFwDXxuO4dAaWc8DDZYfTOuD9+QAFcFkGBFF8PO3xr8rPMMSCXWIRW2d2wtebhNM6oNYAiVawXoUNMtvbPCeJpiSKiZDmOHPNPv7B0OzezwTf546IHZ7pD+LSf+aCj76/Pf5bD4QUS+E51S47i8KqrWnCLrzZiHBdYuDZUyPzKAQ+g7h4s9B0jgxKHRZ28odnIJ49zyPyIM5qneOA+V6aL63CDq6jD3fvxFBZgAajJkxqs+Z5L3kP1B9odv7Q9feirtyEJgCTwtYmHNMrC57oWnUMtln3AelpRXqaUXcDljeUGh8e6RzKYUDZxQ7xEe8qCNY9H2DeC50n7OEqqGSZgJwU+cjOZVhJhk+zkd5XRbx0uI4GGkUZBcNzxXhhNdvn1a030SSwFeliI4f2gyXvtSVuUlzIgZW+eCKcNj2tiOeAeI6Ic0Q+WSd1FDqUAVAJ/Wwy+FI4CYfPD4p171YPQBWrV5cXGxgtFENyIRcArXNcdnQIHN4cEJeA4bEgrbVxVTREiiAoEC+5Oeh8t7P1tS7OwxkyLwwUpsEC/W1CZclqLtaN3fCmvDNmgdJVZ8yhOlUZAE1Dez9R+1mMuOIA+3p5Z9GTYiHPokZW2tuoHsDggMZxWUmMz0eXXY+EXi8d9lNPZ4S06105P3AXs2/jP4eZHPOry5sPBncmn9mSMRv35EG5FkUw3nPeR9SxJwE1sZJXRhCWkwBZGRS3bpAXO4p1VG02L6yYEWzkSNklvl/igcwgbNefEYD0nBFPHClTbRB9WMLVmjfOolKUx2HB8SwQTRZ4CtKToC4RdQnIZteElJqdt2doFcOhAlEhe2J+ynOCrJxtB4gp9KFB69ret6ptnq6fkxRB2iihtqslmm4XsQmtbZWTJRhnsFhHVQJH8sTAfWCIFt3YDISQYzjnd1n5+uOhJwpm122Mj3SXrDm3xFpCAPZ7+3mBlpW83WjohZFQ5Hy360E7iNxYb2MrIkPVaA8BslSEYYBsSJuyGC7Ig69AXzI+lR7RAw1ZI2sl1O4KAUBERAuYK0grKK4uTLikC095wuad+LyPBt9Eg9e5EqYHY22u4MZ3C7ot1IEdK90bj8jnzeKqLmRrRDRDmAvi03x9ny3JNS6o+y5LsFQEwy5ifCCvEAjQBKw3alw1dl/dBht0NQBlYrVaIyvXUCCcg80cFuNoUWzHOW0uCKJWPPCAxoumdZA2CmJ4pDCGHqaGSJe1dB8NtHuphxF1jKRutPOZyaKPKkGM7Aabb99CpzVF43crxGD1DpmXTKQPgs3MVeU+CUIo8ovxbmL7ApMXSqyQsxXFsqsap7aOAeuRdn81T7kCoSSEaYR6pQBAuTtCjwfzs6H5DheB4RQG0w25ZJ4jw9C6HWUUS4jZMR0+LEAUnL8YrdtoI/yCJSuWGDvNokz82xE57FoJwtK7M4Ahc2hWFNUUoLiy8wKMj0zk1oMlue7zN+eBw9zrQM4tEV08M6LpilAok8+yRu6dYLDsdKr2XVLjx67LgDoo5puIZSo4wcSKgjLArwJkQZhZ8Mm3Cp0qhtsFtQbg1xOGR4EmxfyWwXE8SxvR5EmrC1Rl80M+MzPvPMEF5nvumTrZs3jIpN8sGelTQT2MuHy5gwZSicLZRdYMLWh7aX3N1/h5jrUgPJ6hQ8L6Zk+U16cF8XFGfr3H6auRvvGRmhvpaeEIrTCS56tA+PgMmVfU+xvo7Y4NE2GhcWejDzUFlOPY40f3aVHM7mijjYqXHOJujZ1HQE+AHAPiqwll6Q7s8G3F45fA+auKeOEYTyKkuK7LHTjHdRbEM7ui4yPX/umnAeuNj3lT6ADkvaIGxXpLG3qoCcvNPeZ7irVxT3pBgvZckrBmtsuQ36c61SFWHg+/3OMn/9OK+VXCt/8dUI4Fw8eI8X3Ael8x/3wF1oDwHBEWwf4bwfBEn1n2gvkVcP7dhbHCY+JUi8w434XC8h54/L2KeiyQOmA4x7aWzumVABL6zQABAABJREFUwphiPLOb+OHhwELIw0i7vl8w7jKe3x0wv79Dviv4+hfvaUZPEeOHgPN+wMPNjjzdVFGDoM4RsgjimeMk00kwPnDt1yP/7L9V7D9UfPyDiPP/+gwRRT6lViSSIhjfR+y/Ze4xPFqRyBssAW3uNbvbFIcKBv89/Zjx2O69J8Swzj/RmzVGLK+JIjn+JcdDnb4OmF+xwAVlMn76mjHn4ddMWPMBWO6sC/7I7zI8E1qeztxrdSDMGmByLoUj0c4/5ucND/y35RWT2eN/Fdz/aSYlb8fm5cPvs4AxPFCYKu84eq0s//9Kcrcwv1Y97VWSphTmKnBeaVPlGAm/TMCqQdKSAIjtYOAv9ySlwYnNUJt4hjdZqqtmgkZqAZJXan2u7FbK/4rjJdISdaDzwrbCHyL8XFWgiWXYTatXk7cddQsy+7gNMVVHGGmf0BcXYGmVHINkXgVn2v9sZdqbrPf29bZG1bqBCOS2QBXJ4bt2CLOLbsGdwRAatE9t1McGntYgNlV659ODwm0nbMP54vO2L1fRgpirTpo/T3+P+DcY9A9w6AgBDi2AdhELvqZX0qWSIxAyO93Fxid8JlTjXTyg8Zz8G7X/9sCqwTh/4Dtv3qN1nCwZ8FEa7ML1n3lVzyvZYgEzQDGTLdyx2UHxhHfTUQ5WCIAFXKYUqxEoxtUC0CFxSRoaQUWuRJivLt/r2Qo9QfjHEhINBq2xpES9bmH7pyWitd8DVIhiENocx3cptl2Mtgf8fwNa4u7wWg/2vJovLjrl9u4B5aZrqjFAUrpOBjZjq2Tz2v7vct359Z/90FX9Jjef650jfz7bjqJfzu1VojgQgyUXnRftlX+3m7ILTPg3xqpBEW3UGGyft8uh1i3JtfUT8k/b+3giYT6tIRWu7h+9eFMp/OU+vsZN0cl9vvl63dgDbxjN/kOzb+327VXu5pvRxhb4OBT+/rUBt+8OpY/1Atz22Wy7/P6fps4MEcDggumigBJKX0fY+ARp382vrd9oe9pt24s+7qba2cQbJ3Sx+4R2zio6lNZ8ClUsBYJgz2VjTwXt+V6NY3N48oskmIUOaagdhw0zwfYvy2QBhti6HulTmn1fjXZ7qdngUP+GIgj952ZPDaZsIkLVBCLLaDNWhebb4w40f351X95B356VbT394MUG/rz5qnXz8/a7svHp1x0VR5YxGMXVM9z6spdiVf5zvzxH9yT8egyRmCihdH/q7ykv9DHah3issEE8eby18V3eLSaliXYWz9aNSqEfk0JfL6ma7Uu36aRAUoRYodojCJWNHft72HqWoa9z6wgN9n1j30hbNIcLNAGJBRtDLvH+7Rd+yC9vz5WXPwdYxI5d4Inxja3Ny7W12KcpnW/PC7c5813YoBUFuG5yWPefsQoRi74G1WkdkbZWJuMvv9jqbY2TskAxcV80T7jxN1wnNn80wKYwwBSGBRXU2/HXOQqQBUQmli0mt8TYu5h1iZBoxRJRVEPFxeLnFZMvXUw3YbK4cw1oo7w8QctA8WL4tuYVuh05tJvdYWlGknfAfBdRpl58jGdL+hY1KoJgXQO0BPJKK1CGhLkKO7MKyCr4+GQKzLkvoKqg1oDqAm1WHKhZrQiJJrLFcUrUnVgPprTuxmx+nd1fntlENJgvswKbwIS5JlhnFs0uexHSv9z23zb2Lf15uV+KM2crt2JypSZQc90DGjLl5XkFQaMYABShAtBGmYWM1tVuY86MXxusEO5/GjpXtHXt22jYH3BpP3T91kmuTiNwLuTPlFcm6tQ7KenMagHsgJaiiE8LpFbUKbUNnm8naBRCegXI+3SdeMrmYLBkguRkwtr6F+JfYbbq/+LD2xW7j9UGqG8GgjuE1SrkwRR6ywDk11S8c6MYnmqDNgNgZ8ATGgvaqhAaKGuvGLZDMIUmAhUWRZKK4dG7Uga/HtHghQANr0yADgZBdUemm8pm7ipukllho3o0v3feowUA/K40luxqj+gHb1gVw5ptdMYKuazQ4w46ReOMlc7RctGhIZrkPSv2TUQEaMmxLCtff9i1jdpEq0z+vqnXVqvol8quQIyoE39PTjM7bSEwGckmCCQCyI7dh1KAmZ0n2Q+oyQbNTx4kshta9uawS7jaMMV4TttOXri/g6zK5MOTCbB6zA4N4XcqAufxBfv9OpILab0g47puEvD2N6BTbAFS6+BueFxUn6PD5yEIqz7z2YeFin1xYQU+zta9sg5auWXLyyFgNTGYqDZkW9QGvS8KgJ1Y8S5YExnrp6jaXGipFeGRQjH65gidArnJmeOt4kK40HJnc/USoVJb6F/vzAmK7Zm69lPM4WyctW1diOqq55tq5l6w3npw4sFuQIqAXqT5DwjIyVoy7cgFy4ZEAaIt/N1HagEADNWwrL2DGSLH/KTEBCAXtPaZw5Q9gb10biANhPzdxnUUCqxpBlAVWguTX4eKjgP91kBo3Zb76l2j+T5iuTWOkkMUTWwkzORohWXAsK6N6wuAPOI1s4us2hJkhze6qFOqxul1BeOIhuSgEjshyXlvvmwXW1LpVJWttoIGYDmyU69C5WbOX5TWzUXgs4yXjchGYdfSOXdenMkH4/c2WJo0hIcnCD62J50q4pn8yXIY4JB/IhdKgyfqyGcbnmY+9+MOGhOGxxVxLihTxOXC/bvcMfDwoIYFGPqDNgcQaIJrsisMZi4RQc2+zzBolqAp86rSdw0d/syuMJ9tnMV46RGoAxPwZ/QkXgSYV0JTQ4BOqSWjrrTbCnwbATodBzTxPqBBmtVF/zaFyvZct3N5/fJE12Y4c/Te2rj9AvSzI41dORlo35OoqgF1CpjvogkVMZhtAZear1xBvY2nE3R+7vbWRkT5+Q1oApbRi3OC4WwdbdOt8MLZ9FQQLwVlCqZqLFju2eX1Iul8RxRFOin27ysgjIkad3DYBOhKm2gF/rhJMCrauT08spjyUr25Jc8JWEyRdJs0u1/dfVBMD4XIn9nEbyYrBpYADRs6BPrnbtdz+mjJx3t+5vya/FIijBRbZI4Yv7weKuLtCqhguQzQHBBcWMZsOOQeUPsZnQ98pukMjB/Z6Tm/YeAb175Gw6m2wiwEmF8TpTQ8DRgfV0LW/RwUio5eXV5D8YTYxTdVKaIGYHh/wmC2oENEWAr23y62vtr3TADCUjB+yghzaVB8UeU4PtevCLhOfgOF5hq02uLRYqMfL694pvnabK/5HsBr+oP0vEIufSSlCwkBQL4ryF8WYA2Ij5H+xuDKTY3bCsXOL3cBIwQgLdaF1N4suvlNweHPnzF9uYfGAXkvuHyhXcU5A+E5QJ9DNykv+oDx7Xf/dEAowOHX3NuPf1ggby7AN3vc/PHQkluiEpweJgaZBuKHgWiYZIgYoxmUCTj9yOKmkyBeEua3FZevgPGj4PBrissdv1kRlor1JiHvBcNTxOU5Ef11ZoI9vQsIZcD8WrG+yZA5QP7dLfOFiXB8JBbl1zVCP3C0Tnw7Y5pWzJcR6xyxroL5C8sMjeK2vDIos1Tob3Zc++B7XhDPvIf5LTN3Kby/6SNzm8sXgvOXiuFRcP/LypF6ppuRzhT7YmcVvTisvsdC13IBx5bVQXD7Fxn7by5Y70ac3yaks2J64Lk93wvOX0pLquPMDm4owLoX6AATXs0Yi+Lgyt+RvnL/juizsgPm1yycvf5PFdPHgvOXCQ8/i4a0hNF6+PvnXyyYdwXyzYTbPw0I579blvv31sl1vpkHm82BS6+q8AVonB1xMSCTr99eDstoYxSC4GU31ecNtk3vPmOT5ceFiXZc7MFnRZwpNKBDMPEQr0hYQlZ7wunJZMjAqNoUnl9C3rwr4QlzdAgzPAGW3rkArKMtppzJRXIeQQMPWmJfRm1OByqNr9OESiy5iQu6A9lUqJ27ws/l385PoAJud3AN1uYVwVobPwlQJvUvKu0aTFjEnX3t1fgrbq7aqKUU2liO7eO86oZ7oGPzh6+NwysZod1QS0gDKJyz5ZEBdmCgdf7JT37xCFc0/gG/Q/99MeETqRx1UiPXqEYqX3IN7PWt0r/ZhNY9bPYeQ0ts/d69ctsCD39WXrVsP2Pl1DsB1Z6rV+98TFcoxj8KgurvP266QeLVUAu+9nyzeLHE0Aabi8CC7M1zuOpygl/OIIwNcpUrYu2iLWWQPiC88j1pc/Ze2ted9idb4d/mS4J3MfzXwsZ+A6zqzX/z5kYdgFqETcokLEgEueb4+b1Y4k67sf06FzSREavE835rC9qbynErdPT33hZMUDetPeG6qSMfWhIQ0NqIPi7IRaWaArnxbu3wcBEn+gxCfRr8O/RkKzafICYaV66/p+9h9GIIs0e3g/4sfE3sCVyvpX1Oq66bjerWR0n/tZr47JhkaG+obau2HjgZOihY5zC4IKCtqVeB/SxqYlVVWsCEbVAtwlFWDs2xtrGWSg5bYNIeVoWryaujXVARz4SEDjvyMcvAz4J+HpR+dk+i9tn933nmMCCpkb7Fw0QGwTQL+qtN59A6VixuBIjaOKFGiehiZrTv2FEyRjX4zN8GK8hF6ed9pI+4QnL57Xgn157FX3e1edI+Iu7la30v+HfdJNHVxJ7yjiImPlFhm+S6cWkUFp3Ky1lK/jlo9tj8eItbhNSSFLodZxZVahLA5r627rq9xrsrrlDaCnGup2C23/y/1cr4cz7D1ok1W4mrIs2V9lH6OeZonBqd58vXb7vIUKA8beMPtCS2QaqjJccvnqdfoeiVDgKfA8+IUs2cQz+6PV6BACFU1BqgORKGCUCDIpiKdEMe+fcVBrhlx7POfQkLR4yZYkaD3m4FoMpI/xeyoFzCBh3kN+K2tLk59QRg04EFuhr9vNBWZQISbTxecjvTuy0RQRiW2hAfXlBp1BS5RsM555pFOf6dd7R1990ObW8IP8BGJjpyhE0fWQtFsuwqjmiqAo0Vw34llc45oh5Pbh65d+euUChCX5POG5uqoHL5ZUFYpo6cMJpJXKTp2gTljfrEB7f9OiiWe0W6UNGcXeeK25szPn6zbzDYLbLBee0uPhgXs/2Ilji2Tq7R+7zLXV4r6k1GfSavdzhXDB9nhKWgjgdOAShg59jG1ASbKhBnJS81KeQsGD/x3+Y3QLYCstgHh5XrHkQxpoI6ciGoqcKztCE0je0pl4DhkVSBsqMPCgsbWGVi0gdo2y91EOhiDZubgpCN3oFuwyEbvSejJ7gtyRUU93lWJKqmgxEvFenbBwB3mF8lwODNEMVyF8nvzl586MLCHh9QY6Ai5EpRNQDlhhoIITP5bnmUKManit33F1zeHhm32N7vMYIgHjJe353w/eMAsaLY3+X6rZNcseRWUkLZJax7aRV3UWLEa4y22CbOYMJG5TBeJbdlDMjH0GGGAGDwlDIK3xtosB2vUm3hbWHtBg7w5w3Ok4SoMDvo1bursQdjfmgsNxwk7cGRVGC9STaEmhXVkBUyBYSsGB4WSK7INyNqGwfi98CDOcwFAQV1isiJioC7D1Q8W28C8kRjlmLdcBsTk04CnISjVQY6t3Qy+IYFaunEqpRf3q2lUA/hH/FCRTyIVVHBAKl1v7M2BWwVoNxNwC2zhZawTxGKCBltVEqy6noK0D35Wlps3IN1dMWVMwFIrdAMyGUmp3YLa/NOmR8MuUBzhpTCrqgJ6+jNAT47UafUOL1tXt3Oulz7gfMQdxHrXlD2TGwp2Q7OQIMVCqrFpNW63kOC1F7Z1qdnQOiN6i5huTWuIgDN0sWmfJ2s4suihyUlid1UCnjEzwL8vun9ALBE1JPzJjqDdtB59z5eejFneC6mlGnwd+eHeeCfKPVeTJ3Q7cXH9PicxOpjTIpyRl/WVuiR1br1nnBFQMYBWogAGKyIpIMJu6h1AzUg7npQVocNBCVc79t2ECgQn4PNJO0HJ8cgbILcoQeSZdeLRiJAPjBAUrG9I9qTtCGCynk81BhMxRawOLWiIsEh3zxEKpED4kiCnjS3AL4UitG1RL4Xf2QwNfF5AdYTk815oV3PMztpMZjAVPwMvkmVzmFjW1RNzBOf73JHG/cOvfsMwtMtSCgVukly5biHFHbm57updcSDHZScAW3VdAvwxFAK9ThCk3DmoNmbI0g6pHOT9G38NsDv6MltHRgsEVonGJ5o461Y6QgUT3w2a4AAGymFBqnKOxOy8ACxkCMUMlAjRxqkS8Xw0NE3AvNN3oE1hVWMQxtRxuCIY2wo6qWAVgwpIBRWufXJkBJHroVYcF4HaQWKeqEPc8XMOBORsYVqcoQEtRU8ofOzKSzokwOiti5EVRO0s5nXKLRZHKauJu0FOLOp5vMMhcPxKbV1b1G0jW2TeaGdjgNUycl1So56udazHh9tBUDqaJ+XmsCVXKix4K/Zzp5nxzS07un8ina+3AvWI30H+ZvaA3czsjKRPy+yqWpW082YArU9duTYppOLTAnmV+kKUeNxST6Sw73eUMPhs+5xVsQB0CSNL+vjNRxWKMrzfbknN238wGDWFUwbrWoBxgeLNcqmg28J7nwvDYVzFQttEhdPLMokuLwOna5VjdNbtWtLFEXI1Oioo3FzVxZL41wwvWPxZL2LtrcC0pljTeRoCJ2xJ0oQQOaA9XEi7HRlcpVOTASGR4ojEVllgAOHZWfCousAPP+EkM2G2nN7jYa80l5Mg8IEdQT5xpMWG7PzXBCWgvnNhOUutufGztgKmd0ZWQKSDL2QtrZjHwJlXOJzmKeIuh86SmWIqDccU+XoL87jNeRMcHpJuJrqUQfBeghXhZD1Dpi/KpBVEGc7t10Kx4svCsh5aZx4ALi8pT8ZPwasq2D1F470A4c/j9i9Z6zg3TyPs4dnxfDM83m9YayRTvTP81sWVN4dBnz8wy+xvALOP1uBKtj/KmH3HZOQkBXLveDyBas1zjl3NIsXNfJO8fQz2o1MFZdlgA6K+TVvzn23JkuEg17HC3aea7Y43ovcZ+96EtVx/AsBQHGnMgFzCAg/3iNkxfNXCcud4PKVAvcr6hpQVnaJAU6JiBfg8EsufD7wu7eRdqnibjdDVfB0kyA5oPx6j8dyQN1VdpnNdKQI4ik0KLAoEVbpZAiGX1ww7Rac4w30A1FQ8SIQm1Evllxq4HMZPtGWP/5DIM4Rd38qVJJ+rmwyuHCUnz/ViyO0pds/te9lKJHlPkH/F18i7wPWA1+THPGwsGvsMReqUJQPgvGpT1SZ3472rCdoBE5fJqJKd9ZgEmB4Zjx3fhuR90cqrAOY31S8+QfvseSIx7+4QzwF5IcR76sgPUSeqy8AcX/d9dt3cquVBJPD5vjjeLGA2apqhFACCISLiCrK3mbVZrURDoLlGKw6swmkhBtvveOB4h3LMlmSBrSKZyig0Xg1alM1amewAI7f3/JjanQOBB3uesNNVXYKuKjHAkwf0LqgYtXNcS0I5xWyH3pnwOGqjdfB5ECjjxvgqAFWCEcLygNvBN6BUDsQgFUI3SNkr0NGKJhB+J5f2Sp/HO6s9nvSK/8+fqY5SN0olvJ9yp6wnzhXDmoHOIpHBJjsHp2DJWijHMQKVbJkyJL5OhdDKOwMy7xCz2fCOyeKLsAgkvDxEp4kAFQ3DhH48jWqB/YCiMYrGBsTrsiZmzYep44m2DTRgZS9Q3TUqmmWEFlxhtW2SOKHm/npDJ3I1dQUetdzATyauFJUlj6yxSvM1eYU18ESM7dPRR9rZd0ZV7y74iluOgUtMchE/qWLYnymUEg8V3ZwHQZt4mZN/j0SNrzedOiz24JYoOxcvJqsW9RETRI0FFLa1r7mAD9HRCBzhpQZmEbU/UA4OPxe+qxnDRQRKDthQ8cHwvuSbhLdeLE/riiontSyGOWJbbPraEPFL4JQYV17aSMsGAxuqvUbmDkCmvJvWKrBo/weiMpQVUjmrFp1vt8W3uxiapuu6DU3K3De7ZAgOUNVmWwuNi8xZ2ipkDDA5+G2BNfXe4gUBANs/wVCfs135aNS3OguAzkgLBExbxAA0as6m07uNEIxALUiH6IJfQFRGGSOTyxWSlVrCaPtxXxMbRZ3479j43sD7aj5bHu+wTUAzJ6R0OD5nhCkk2J80qar0K7+MQ2pAFiQ648g8EDP++vEkKrbyi6AwbKHh5YnNRQMrKLvMH0v7LnoGsbYZ1YWjryIVq1P9v3LqDQsd++wDsRidrm9H3UYGG3Kz6Z8dMEiFi9qYvFSVsH03hZiACQK6qw2+kYbYkFK3oxKGrBV3m7Ftg0agBB1BR6EgnXVEFiVNiOlAstKeLqP5tqM+WmzmB32HEIbddUEAA0CLWsx0R6zdaP/AEyqyi4RXbVnQrAefKoC7bz5RuVzEaDDZQchxH/DaxI1Lts+NIqVF1lC9o5GR59IsfPVffXAURzrrbSkUrIiXUzQchXUdfP60c6eHZW4w4q2N+scsPs2EZ5uhTpHUoVVMT4b7cMUlB2xU0YhJcFUZjUSHdbEqtATOA9qV/fjFzFKS0G6lPY8wloRZnsOMpi/ZqE6nlbI8wW6H1HHW8gAjFptj1gclYBSDWo7uuKqoNZoxRijWZnI1PiRojvzXcDzjbT97F3suADrUbG+Zqs4XMI1xz3QV2x9AbtI3L95R3HJdKFrl1IZk6RdC6idhzo8SpMVaEUuAEiCYnu+0bU2xRwXqNTdoUOhA1j42w3tLAWAmDPC8wyNEfVmbEWufs6LzQe389hi4PWokFcL6jlBKqHG5OmjFXOhYNFpA1debxRjBeITF6iOETpUyJFd6N07xf2frURF7APKCKxG15o+MbatKSAfmIyki/tLYL1VXL40QbH7Gf/tT36Dv3q6w/m/fInDN7VNVSlj5DgY4cJK6M/Irzoq8qsKpIo4VEJ+I2csawLysTLZnDjaSJcAWVk8b5zYah3jQNsLa1cu3n1Qisk+rIhPCy5fH/Dp9waOrrqPgBL2u9wp1lcVu+OCZUmozwwo1sB8ZPog2H/HwvHpRz0eRwUkKm7GGbkGPO930JNg9y5ieAKW1xHLfW25iBQgPXeBLG9Y+UifN6+e8JObB/zbxx2Ki1admWTv3lWEzMJSGe33niheu/x0BVbB/tuE3UeOFktnYL2JWO7Z0ONnsitdJmD6BNz8VWEj70j48nIUXF6ltq+kcl9zTBEwVEU+CFajHPhZMT5UpOeM5X7AfB/aXq5J8PxjwXprh77QFwxPvPflVkihtOS33mb8H3/27/FhPeB/+M3/hgWTc0DVAeOZtNa6oY7+Tddvz8m9LMB0hOwi1htWQhqkMrNKl2ZWCiWb6JTwcPPKVd5bldaU/7yaBVgQnwEXToJYx0mt6mnwR5fb3xKwgyVtW4jH9mrVTkUL6NdbLjRH82g/OEFoBUAYoEOY48z3Xl7vEG6nJgCiQdhlaQvlH/pDX4SJpFSvQFO0Kp8ZbJB3a6qDdVMB8/XxEUAWvHvyHq3SURPoqCfF5a0FFzZ+Zr1h9pQuiuFsXRLjpIgCwWDWdYr2XELrjL9URk1PKwNEC1jjKmgQZgCt8g8wIDK12CY20jrgFbhYwisWPBmEU+2QakF/6ElKQ7uOVIh2vlQLrge0wAkW7LbKvzkZqlZqO8TaZXxhVUWZApZboAsrdZhRmSJCtA7NENq/MekV5CmYKqRc2da24JA9OY2bBGHTcQe63QdzkA49hnUutAj3W+MLWaJtHWEG0c4R075HKqusmowjZaISg41O8a6sVEXYKOq279Wgq3zeKIRzhoXFnXip8BFJfr/DsyEO1BNtDhLXyA4yPCharZt3ceM3E6k9kLNzFM5TqxPXLtoQeN+baiNsYAJ0aiOCWBxJbZZqtW6MF3PaPdau1iuwYL1ueLvbjm1KvVjjV7Ck2hJMSclQDZ4BhgZ/J5TZ9khlSVWNHiBFTW6f4jt1RIOkty8XAETj9gfts1gFrUvcrszDDpmBb951P8nOrAmcVPMNCaiILSmqbQYo7dGRPQ0C52ecMr9GBJa9dMif+XXvBvnPNJI7HlUhq1rArO05NHiWFV7Krne4ysTuZ95r22dSTM8hMNDASv7xepMM5uWVOoP3ms8TtYTMRomIMgEIPn5FA9c494AdoE27oEvrsK3sZvXN0+04zmpq+b3Y6+IcPvNxC3nWhCvawlUB01TVGVB3eLumwMkBnpwCDTIJwCgX/DcxBXUft8KRQ4Rty0s/sIGNt32QcxetAkB1KIEMArUxWzo4r5wQanbR+gxuOCrFYbXV/Fo79zYZina/WSP43nWT5K4V6ZQRimLd8/yog3UkK/rrrKu+1a4opprsBf32+KJguQVQWZDw0R1x7v47rAyMXSEfFpSvd4o6GpT+Jara90xlZ8wV8Wticbtm6vPQrymynXPssvRuiV/pIvShApRd7zDSl0TgmKxrxgJtSIKQ6S9lP5iqOFrM4cXZeEGrI9RIm9fI471xZjc263abp17gdeRc3cRsW+qbj+V6SRdrhXU1FEe197Fz2Z+rxh1CnrDcdsilFzb8GWoMbU+4SOrVGLIo8DnmVQC9N42GzJFB21gEG9v1uEnH1FAK24sUOS8useC03pNmVadqI/csDvXjRWF7ynzU6MpG9vGrIK08M9mUAYAAPaU2bnK5jVhuQuP8+jZxbncdLfbeAee3VszL5IsCnF1aa8BzHqEqWO4VwXVOlF1ogL6sHAthwKY4SXQW1yVf2ACrQ8U4VazKRAgZUFClu0SFBoVMBbI3FGkAahaE70fEixULBkAWQ+ssaueK4PJmBN6MqAmYPvmm5vJxfI4g5IiLHiFZMDxLL3yHbu95L1jeFhYMTBwLDwP+6D/9lLc2sCgznKhxUqcNV978fDpbTGI+2+lvAHCaR3wcGB/XUREvAcMTbdvRSUQ1WbOriu03akqUneD0ZWp+o0wb97fdO5tGn1ROjVER1PtNodrj+wsLF/mtdYUBpGdryljOdn4bIa9jo4w50sJzN1drhvL+99/zTDz9SJAPjFHqpBiOKz6sBzzmHcLNiqUCYQ5IjxFh9n362Rb6weu3T3KfnoCbe9T7Iy5vIua32rg68QIcvi3Yfb9w00dPsHryoZEHy3LTV56DrvlQhifCJqrz+cS+tbAqWkaYHLYAkdh4UWD8hMYfaYnfy/zSDsoG4xwEl7fAeldbdUz9DdAr6Co02HgBxgcYlJoQ3fGJ/Kw6CDQN8CHlzrfzKjmTCmkHTHpmUhfmhLBGZFeZizbDSzv3wPlHACuQW8EGh4CquOiXBZ+johwU6xeZnbFHYuOX16xGj58E4TtCp8I5Iyy5QYLz7YR81wPZBqUNdkCN5Cwc/VAAA6Qw52tuaqnQ85mHxt0t6u2e0JpHCoL4DEV9PrE6OiT+LEbC4YKwg3CiaIokziIux7EFoFBFPiasN5surI3eoSqhB7omUlAAqaHxLtJZTcii4oqT67yaUlD2EfMXxarmhGuVT4Rg1UPCGjeGJhQg0cjxVOsBBlfeBKHm9LyD4EWcQLV9EvBjfw2EBx+w6YIFhyoCUjgSKT0Vm2tK+/D5jDV6B5rE/3xX23dlEBssoeQhlM6OnlAmBjFAamyFkM8KAn75rOEqiNkq/gDqEtC7umL3I5Bbq0xaYYswa8A7Ww4nHE7samSrkUi22KcwqG6wpgis4O/FZTNWIAEVhNVKBKv7GR1ePbKq3fggQK+UV21BlORKGvlAiIhcMsWoXs4VtU6sgcXsDeWaD7t/SRCX7rBKwWfcROcK5wqk2Eaf5X2fne2Ht8QKBEG5LahZEJ8C0sUOnpQgwyb4zxmYV0KoYV0ygXXygeGJImLQSoXMqqSUBEHehQZ/avPw3sqVbkK6OMqHgWUZBPNbVt4pmmTFCYPOu2+rJlQjVSAnPoPhqaunAla/qoKyY9BWBxYty8j78Hvxg3+tgjDy+8AUIGeNNsaEI+I0CSQH44CKwZwzZK2cn6oUpooAn3E1ikIkJ9CD7JDZPevQbaDOzrNC71xdLIA8sTAM9Gc5nBTFhAW9RuEFzzIqQrAunnWxXIE4LBwFV293BkGV5pfm+9h8ixeOy8CEPJ1hM2KNnuDCYiLAxG6/85MbtN9tG2joB5kXigPa6DeowZ3FEDNGG4KdN3WMcO0C7mVDUZgd1tR9JuBBmm6CHm3IkJrtzNoNUPSsVE4zUuFnL3evoJFJY3kjjecZCjA8KKbn2j7bUTBl6gWJ9qkROH/R+WRlsgkKJ+mFuAVY7oFyW1uhGUExf1kgRTB9FzE8XruCdj5YB6RMYnQZRXpWOGeTBS7aQt1VhLuVY1C+G5t4DX0a+YQaBMuNzbm8KOJSWcBto5iYHESj87hNUdDGZ0bT7xD6bLzQbJ/looijtJmX/uz8eZaJUFh/D4eaqp3TAHrcZ8+6KfJLXx8v+EL7eMeyD6373c7btxFeNNPIexzO9CcwZEPZERbPjjfP0HjO7NoaJ9yLpGUImF+TqnDzqzPid49oiJsQuuik+WxNTnvpCK/eROHz6OcwcP5SUW7N0GcrtE98GFKIgBLjONcI2vmm+hJnYHwiCqaOguU1k0Y5EcZdR86QvbwVXCx2j1ZMW28rdFSkp8BO4QS+pgL776QlG+UgqFnwtIwoVbB8lZFvI4tOLxKqcLNCgqJgAhAwPFMASoN1JnfA4+uA3bjibIkQwAJfHYQj1wbFdFhwfzxjlzLupgs+Xvb4q29/1Dqa+UDBpelDbbxRJmGkOOy+V9z/6WI0As4FPnxPAbPlJmD+EDvSM3KWczHF5zLSZm9/5wE3uxkfn/dY5gHpPx3w5j8WnL6M+PjfZEgWjB8Vh+8KaorUVrBYhkmutuKPI9PyjnH15TTie1u2uqsI7wN271jFzwYn379TDE8F6zEinYk6GR+tWXekiNQ2gd5Sg/x5tKKSFZmGBxZwl9upiRnySwjGx4qwVDz9aML8mrnP7vt+RpUJmF8H5F2P4fIOmL+k/e6+YVdbTDNm+qS4+5MT8nHAx388Iv9kxrhbcRgzbnYzfnO5Q64Bb18/4XQYcf7zW0zvWRQpA1C3GjF/w/Xbw5X9MmiSy4b75UJMV5c5KYcDlWHzmk110CuxV0IN/v/SKxN8vQWepVdiPUH0rm6rxkbhrDbpDpfwPSaxddKmytrgbQrKhxcG0LUIZOydY59FW5Oww2EFCwnsSvF8YiWclf/aOkSuJAwXUjHOTFgohuKXVCCtflBID/496FbY66+DqSYgUAEfVdGM3hKnNjYmWLCvDoNk4uBOt3XJEpoACgsQ7HBKNNK7Gq82RcCGwwsA4sgJ0XY4m2yrmlXh3VsE6zK5aEpbB910ebQF1fxHC/6137+LKKACoQhqUB44gd1ziHZor8Pe/L39it5W1auD1oNTCvsIrjoa1un2ijKHl0vn2Mrme9rjqcmCA38+HqwNL7pDvl0E6GIDaIqx5F7Szq/GVXiAvd1bHlBEPueyt+BcFFFoZ3FmwCg1cED4qpAcWwdNiqKNKglCHxCk25y4w7XXKn8eQrAOq6LO3EPw+yjdzn0MWRNQiJbwbKrY/Q+Tfle7VPNHV+OUAPjYHxXjlSZLZkbj6YdegWy2VwQxGndt4R4Jy2ZmaEMj/DWJ/8ZGm4iPwfLbXF3YvrNuAaJB8rfiahs720ruO8wWbqPo998+HmiBlfjnvPx+JozW4LN56yeME1sZGDa6h4mLiSlLlbH78Y6YgYne2Xfd+HkXxuJ/d3/uzoNBYS+i+XdtozgsIWpq0hsbJ+rHo0n+niaOYmoooUEgdkBDmaRi4TxH9yE+ls753P5+5KBWoFIhOKzaTL/aOjdFb3u+7LBKS2KY5Gpf662AE7pvavxZ/7k9b+8SN1SDzy0P3Z77mBhCu6lBge5rrOHpaA9RtBnZUirh2V6cNTE02OgJqpoy8b0SjYqRvtz/3W3MbbjNpQCuNqgqIaPa/fNna7EtXrtJVC5KG2Fj77Xdj9LiFdoLUQ597ZJNK2g273D72BffUWd8Q9pQPqgpx9O2qwLikxHM5uukVAzdbktznf5ejB26DxIrUKolRz7lYatDoFFRk0InBQZFTAU1BMYzm1FzGmEcZG16FNu1aHB++9P8Ccym6matbYoD2qNjgYTMD4Hj8Nn5tZGJ9cXa2vkdbDxL41+6XZsCORPZzfeV/uy92OpiYc3FbmLBFkdugnuP2bzL7njlrfBURYUMERJqO78U5o9cLFPsfLGCj6p+Fl2Lbs6gwg2nCHCUyHavu22EAtRV6Lvi9d7AaufsJoZtUH9/mfvTuNknQPOt286tx8jBimQhm5hT87/+GUxegvlpKKA54HkeUUoAoqJOL+wbIBQ5MlAtroSsgnShiNtqcPX4MeFDvUN68IIErICj0LEiTgUiilID1hpwzgMWo5Y5wqIeKvKF70kNBN7r/Iqd5vQs5J77nowCSSwk1cH1PtBsXTIQQftNFwplPT3tsOaIZR5Q14DRtBZCVqQnfndqjrBg7tx4R9pkg4U3ioTpSQBAPSWcFVTbn0Pj0Wp/tIS1W/E178XoC+j+Z5M7hNJHPK1HrkfxUUaJDZh25hr9sCFok+0Z2z/popwLf0GLK9tYK9e68Q0YQNqI9r2uCcgmMDm/mdhQAG2o5IiSKqoKgijC5jzQkcUL+j9B+SFU7A9cv73w1G5HiNtpRlzRDdscZN4J5lcDwqJtnIkocf3LbTBcuVxBfzwQcuMuuVcp66CsMCW1ActONGdSuHvHDhhx/JTZ3n3sZGgAxtNEG4Ysg7Y5ZOtNhbxaoEVQS+Bw81ShRYAP5M36hiuZVRV2OPh+ee0ngopBCXK0ZNuq/iZY4sECAIRLBmrlOJZdF7bSSJ5yHbrgFR2XbxBWn9zYHMbk1V0fNO/QknqkY5TMit340cRkZkVcuUbrq4kw1aU0nulwyihDQDGBFe/gFqvSEkLGLshwqiaUQc5JyAYxXksb+YM1Qx5PHB1xe2RHYKbwiIyDjUkJBou7TgqurmprFwl1gcC6Juym513nISQBUXKZ/MIiaBL6sAoyYWvyeVA0jhCTNPXv49zoOBs/6i7yGZ1Lg5S5UmIZ6HDXW7dvvrcHuVuOtIsrFFNTLDseGrIKwmyCNi4iZHuFQjVc93imSEydAtZdT3J9tp6LmuWDUn0wKWQs2B2te7dG1BqwPA5N8KmYnZdP4ID3QZD2Vu2eq6ERANj8M9kGsfCAAJC1IFiwr6EHaxoFaZbuKJND9z2p4N9ptgRbbQ944hSBGp1rDejA6ExXg09XNI5Qez/YmqeAGgT5mExSn/atgd1ih7rXgcFZOndYbDwHjB8V8fHC/XzY0W6WtQf83tl1WHCr4Nt3mGfovDDBjbue2ArRChiHlsyp9CSDc0v5374f2yEZycNXQesAiAVFFGKxwHAYOiwADHQxJUgiH9/XzZExPp6KYjTKddsHqx6b+mkKbQRANnXLdHZ+JK5GhzA5oD3km9r2BQBT/+QeqU4/kf7sahLGmJeKsBbkQ8Jy2zmWnrzkvaIcKvRQmEjkAFVFrgHBhDO8q7GaoNzwxOLL8Cyty5WeWcwIc7lK1tp4kCoI0pM9FYGOAWUykZ7I7oDTeTok0sYh1S5c5PBRrg+TD+90OFKnUS7sPA1gouBoh3SqCEWpDaCE/hPVYqrEu4D5tfQgRvo5Ehb+jCqhI+IyIJ6L0Wos4Q1K23SeuAjt+LSQb37cty6sDIl7wYXV9lMXnFpLLwoNCTIyrg4r902R1GZrh2Kjb/zccS6qohW448z/bjMjC+HWyBsy53mG3r9Cvp1wfhtw+TGhj/ExIi7A7ntg99GmMliH00efSSFkf74HlldMwHQijBJTpVL2EoAskGDxQCBUE1EhQ0VIFZoDX1cE8Tk2qLIHsg4JJkJCW6w0PHMs0XoIePqp832VBfpjQTxmhFgwTRmqgvNrQb4JkIcBwxNpS6efWDJ/EhvJJq2AGFYgFmB8LJCsyAfCD9OlYngq/buBIjhe4K1JEIV8ZA+myyjAnuddvAimD3Y+OwTciisualRHE5Ly+G+wrvRx5azVh0jbtGCZST/3SbQkgnBni4+sKeBIQN8/deR6DY8B8SxIVmCNMA7vUnvBbIooeyYt48cF6bLQ3IcAp4xIBWQuwPkCxAgJAToNwI6ChhTzAqlga/GjB0gB691ArrkVF1piAWB6LxgeIs4/Loh3C1SFM1iXgHAJTd/CZ5K74KVfeU8tFw2MJzQqfHatjwcqI7tjh9P2vCb6yRMvt0lPfM4/LdBELRMUQC4Rj9/eAIH2LVOBeoE6KmLkvhiGYt8ro0gEELD/fsVyl/D4c54jX/5rwlifvwZOP+Izu/woA1PF7ZtnHKcFz/OIT087QAVVBTWzwZJvgfzlgtdvn/Bwt8fHw65D5QXQry94df+Mp/IW4f9VDJ3Iz6Awk2B+LTh/XRFWYPwQLH7mvU8fK/bvCsbHACl7lHGPZNTGkAnnVqGQU02CyxfA6ScUWBsftFFo6gDMX1TUUTG9ixg/9aKsVGD69QANidz5lbBgNkYEDp+e7wPme0vcXynyTcX402eEUDF/e0R8ZoFLR0Kq4xMLKvmuAEkRHyLSE8f2Pf6CyIA4hyYwOX1QrEcgv+Y5Ot9FDGfB3Z8viH9UcPrRhKefxlag9iJfmRjDcjSR4PAb8uj9OcxvFMubCsmCx9/rkOrhNwPyTcTzMUFEcf/2jHMZcF4GXC4D0tsz8KXi9HGH8puEesLf6frtO7nBoHoNomdVrW3lPvWAnNwJadwfrxy2KtHmoIVoq2RuHb8OCgyVB4QnBtwvcOGe4h0YZSIIoAX7biweRGx/DtuQVQI0FEjkxiw5ICeXvbZqn9iNBoFeAK0eoPflUbXfse4BACZ0q1c7vNRpQY1V+rQyadYChB3fg2qdFQ4fBNC5Y7qpJnp1z6tvuq2aChqvtwA+N9hnjjoXRITVn1YlLAq5SsT6wcEuCBqPLpq4RE2CkDimKeTAZCoGuBARoWthI6bDJLdV+Y0/5uvzWYLburZcJwz9fhtXzbqpAK6q073C39epdX9MVfRqyHuMrJr6WBj1tQRalzvSHryT3d9XetfUK2xekQtoE2I4jLvbv8Pw6lhp7xKgVVGFQkC8KbTCUhMwaArZG+7rdn+JJ4J0RoiKkBTTkCGiyKmg1oBTFtRCITVUIEZBuXCBCS8zmyvCxmm09Yj8kAbH2j6yqhDt0GXYMHm1ZxKSonjnVXEVCAFodstOrtn6Zh1add/twJ7VVsXw5dVg1NHnEcsVhcGFXXwElXf/axKIz582JWRNgUHENsn/6zq628s4uwIAgZx8Dehd3PZlfSHcvqTbit87+lr4/bNT1O31qhvzGZ9SrEOBBollQZBJRjCe2tUeazbe1+uq02XPsHpiJi/+wKrPpnjeulrG/b+6H5htR+lLq/TDDg/e7iHvanNMjzTEgg6KakUiojDQxd9W5z0BNZtAmwe0m+fZBAbVb87OhqwQEdQgkKSQIJsCC9cjWqHERaZCUY7kKJv31/5ct75B3B3a+4mvsZ1/HB/mCAtsHgT6c0p276k/k+YrvPCmaArZToOAdUoBEASgoftYoAuxuT3FAK3BOL0V25m6V9D+rY93AasXe3bbTSLKQq+geIQa9zFR3d+/OD/8nHEO8sQiBSHSYhQoP5P5/tcoHzsDdyy4Y6hAQOsy5SLk6gHWiQQwVCa4UdmJahxiXBeeXlwagIr+vNhlMR9viSDpGebLY0FKFUNkopHHjBIi8hChIbYYyudtBk+SkkFVVz6/psJscZ0XDAAYBBekrFjR14u/wWIesaKiaO/ksEDGv7fFebdfL1xiuw4bPyGGxtquk2zPB/WYDtfnj8cso/aROyMLgXWgqI7HqY3Tu4lnnYbhAoViSDdRtPFlTWjNkAzbxgrgZ59eUbhUuQ+21CX1tRQ0ziaqIER2Hqt1LRtCT9DOT0dUbC+fqNCSKGhDTPm6hBWNHuExce0yA/ac1M2VidOuGLc3ABkIa+ReSEpEod1jCIoQa+tR6EveoO1dt4XpQ8HuV5+QD69x+nGiXVsHd4gFUyx4BlBLZMKfWSiSANSkiGPFYVyx7iOebhP5shYn3BxnfH3zhE+7Ny0+8sJ6m7AyATrVLhhryAMWvKg2P0Rg/MQu6qpo/NUymUDXmTHV/JpFpfS8EQdzMxkp2lVGK6BtiwkLIMruK+HNLGQ231/NFwQTI9wr6qHgze0zBMBp2pMW5s9JADWqIYYKGStUInzaQhtrJALN5DKnWRuNAEBDak1zQfp4Rnw9dhTJJsaUzf6VAgTjDbfHHQHdFdryyILL8MBmCtFFATlH5Mo/y5JQl4jhWHDYzVjnxGbbi/31112/fSc3xc47E3N8Fsg0QYKFG9sVKF2Fr83+LKwclh2w3PJQDou0Lm0+cOHSMyCrYH0FHnLHgroHnJ9QK+XOy0jJ8HRiJa9M4Qe/ez5wDEAZbcTEAISLYP00QXYFacoYxozXRxIDPu1W5ByxzAl1jsASkB4iVFhllR2rkGGlsMP4aEn6wOy+jhGhmqjTkpsz0kgxAorkUNF1O2bGeaJhsQCzKqECURrfk29EBz19Ktx0ITQ4mgZ2U+pDhGSqxMWZHDk/vHzsho/DAZcWdYo2iidgvjMFvjtpw5prYpW2ngXBIEP+vNdbQToXxOeZMJ/DDthN5GSV0jhZ0AqsK4WlprFxWprog3MXPUAC4Cqa6gFL6JDTOlkRJfVKXTFeriZ+x/QQ2akyWXuNLI7UBBtftNmZywwE8iZDVnZUrXIMGITFeHwArMILg5yhVejC3O2/dbGSB2Id0tiSlgDCinJgYJ5sLNDIwHn7HRpkdArwbmUXbZP2PD0hIYenYrqZMY0Zrw5njIEHSRDFu8MBD3c7XM4j1ocReeHGjrPDnAKS894XwnclCEKobYC3JyuiChQA1bppU+T4p1LJKzM7q4N1h9ceJLXsb5uLFbPdQodcss0XjuTg4DEy+Z5ZTXROb+OkqHeK7EBPdLA+p3i+73bjhQkNAGZ2FUXJUYIK6hShuwFNgdchoiKQUii6491ZVfJdtVJsyg/SlLoIlL1Wau2Fngb/YSLtnDDvzjXezcZmyOEHKjgrMszGKX2iquH4WKGXGbpc+rrmTChdKUiniuHBVFEzhZDipat3iwlvhRzgxQ7JCt1J45qGpQek3qkIl27bV8UJP5CzUElH/IzY8Fm9aBpgMw058gSZPp7K5AbtB9E9gKDGgBIjMFTE43oFg1ruE5Y5Mjma5UoQit2oQDpM5jgtBACF49OaANVcmEgX3STjCoyxJQPTR66Xw05pl8Z/PdXWvZWirdAigbBSdZ5u9mBIEA1uGgo7Mew8WyB2UcRzn1vNZ0vebh1CT2z9m5of96TZxz+p4LrrtlYgCso+gTMQ6StlY6OSGFbI6UL18RSJyAEghXxEitL1bviVOKELCwYYj5F+nYJ/ocMJA3UDXF2VIjzmFzaCQuMTUUI+7hAA9LiHLBnpQ8X4uIM8U7krPduIFmgTAPLEqaEDdrTLfFSiA7JATlzMsrBrmz4kDA+GdtqTklAvEboGlKkgjhUONRXtYn0OFw0+QgpoBVIX3RMFLveRmiWPXAMX+a8xYpURclzw1c0Tgijenw+Y14TLUJBfRZQcoOfI5MTQDK74HC/A+EwbXI8BouxsDs+GDrLi+pYn7Xs4ZO2NjErRHdd+kEx/5KPI0pmxjHeAy9BRCmJncsiAXgRlFWQw9ktP0qZrAHzG6bxpYogY0kex3AQst6bCvQPqBCyvKnRXIZfAES7F6DkjR0NBgd37iukTY6DhMQMCChEKmrqyxsoCba2Yvu90FX19Z85OO2y4FcF8r3lGK9fzl72IYIXC1kENXLN1TkQUzjzb3DbiRUx9VxkDbTRBbv5CEW3eaNkD6ccnLM8jpu9HpAuw3BEpFs8cOUatCT6H558V4C5DLxEyB/s3ZjGyBmgVyNLPlN33TBbPXwciZ44FcZdRloj8MPJ8XLnm4xOnJUCBd/9kR1f5CQ3ZVW53WPecN64BkAtn+35Yb/Ex1pYoaxHCtlVQd1zgKIrHC2cI7e8vWJeE8n6CLIJlSZhLQjlUPPzBHmqdWyIlWWxMJ0F+jBieBbe/YhMo7y0eGAXLXbJRZvQDZYLNdJU2OWC9Y7J792dEXz7/SPD0MyI+d9+pFVAjyhiRj4rLl9WKMCZAuzCnGR947uWD4PIl9+fxryriSlFH0jSNclIFH5/3CEExHBbUqbTCRAVjpLAEHH45tnsNizJRNwRTembOdPiuYPqwYnhKSJdocHJguY0IZUIdI/KBzzJmNHRd/cTziZM4iLCdX/FZ7b8lwijvA/I+md6L9KK7nUOyK1guCf/3P/t9lDVCvpkwzILlOOCy4zzE+jqj7l4q9P3w9dt3cl04IshVpb1aA6LxToEGqajDdXfWN7erYEK0BWTO2QqWkPmhQFhEgQQeLHqJQIQNUabDnh5qC4q4gnpVZSgDoaTqFdJoFfxLQB0qQqyYhow3+xOSFNxNF5Qa8N3zEU+nCauM5rBYrQk231YKMIhgfDLHZ0I3dQiQEjt0SgRIAQLjATaZes4wYydEMDyVBvV2/opkBht5vwlyrcsS5oo6BMRDgIqiqgCRjjJeeI+EKPeqpQcIkmvjGLrKYB0oxJN3xP77OA4n4qt11TQKfDQirLrVIKlWTddxE9h7cmrPRktlQjCNn1UjW8U/AVf8RPtd4EUCl7yrgw6nsAquJ5xx49SpbIfO2ykFKJugaM3AWAFhYBtyV6x0Rcd4qc22fA3YUcVVR52Vee4HDJt9UK5/r7Vo1A8XEJoHNHgijDPr988CkwdP+hmvzwOSajwnGSr204rDtOB2nLGLK+6HC6aQsYsrboYFH8Y93qugXCLyyZQnjbcIsHMPgAkqrLHtaxPs+bhKZa58lqkn4s5j8ntRq6hzfmMPYBhohl4wsAMxLNL4zQgA1j5qqM/l61yyrYgUDHHQlLg3cO46WIU0Xf9O64I1NAMhYpIrYIlf4yNX2rV4MQewUVnszDM5CNaxtH/fJLSN29h+Jt3fOo/L771uCiPKZxAAqCX35MGRS5NOFFVBzrRtv3KBWpIb54I4Dx2toJbsmn+QXA2ZARPw2h5W2iCjvUXdESUaAQd09O6cIowFxRXDhO8D9LOldY0tAOQMwMClc364I1XEOiH2NwXPFOOYkVLBlApiqDjvByxrwjInlMcBOndbaKO9CjCM9G9SqHzNLapsNLsAlhXerrqTgcl/PFOIr04RNQZIFfMjPSHt6BErHJiCMAN/vh8r3lw4dm1NRdRQOT7vPKxWrHTtA0vApSZyFDe13xptBmkFdSesw6O68YnY2L+p7Ce/R5/p7PaqClxm/nfaQ2M0iLPvcy/1v/Dz7WxTdh0tcVEreOS9tATdeW5hQfNrqHbG5X6+xXOhP98WLacRyAXhspAaNBtcz+CBsPOgUXDNr3qCrQNQdhVhLKg1IV7oz2olbHl4IjQ333QajNgIRU31B8EdLTapLJpOD+Qqznfc406T4DnM30lnhS4MgmsCx7qFAN0L3kwnpFCw1ogUKm53HLfw6bzDo+6hCzhyS0x110zYBTvzjp87Ppqv8ATKO4+CzpXWbqt8rNr2nWtGuK2G0ikP3vQAehFB7JzsZ6lY8ZOF+big8XX5/C2Q97GG6n6dENQt1U33Fem4oqyTdcikCT06RzHOguEkSFkRT10ssEZp55d4LFkr4pMV8IeIerBkbqs4bt+niba5UVmSy9egI5fQCxtue6hW6F57AuSIBlJoYDPGN+cIgP27gvqmJ2lf3T/hO71BWEeEmTFcvrWzyPxmtGcR3i740dtP+P7hiPnTDloEwewcmcWlpiVwFhx/U1EGTksRDViniiCKkk3otKDNuR+eaLvLneD0YybZN3+pFGNSoByGRg+AsMCBEoDFxOiGCpmsUGSIMqTaeMvLmpBSwc1+xjlWPJcdaVY5Yi0RGCvOpj6cD1xjVzuOC+yMBPbvMuK54vQj+z7WWMqTIYaSoQKa4rU1AAYmy4dvM6ZvTji/vcPyuiKssRWR4sKG0ePvguJi1q3WKqinBGRBmaPRxRTrnWJ4kCaMWCM34VbXZb6MCLFgHAtiWJELu6JQzrLVFTh8o9i/K23/co43C+HjE/fm+CkjfThDlglSBqw3EfMbNgTnZwoslrHnbsMzDIGkzYekS8XlVcT5ayuWLiysp+eAdGYT00X2XMFbgyIMFWWO0PcTwsLxeEQakDaXjxXhzYIQ+t78m66/B7iyccNC4OJ8JLdk+sBDJs7OLRILSgh7EwsctklnWJ07SkVXV9r0yNk3fXoIKPMAnRR1qJAlkDto3FPy5YD5LnBmnUHA4oWBtloCBPAhOeSWcxPNSA8CVUEMirfTM8aQsdSEogIRQjsfhoJTPsA5DiiC6UNAPPG+1qM0RxqMEwUkqGznIvJ7hFwZDJvjlJJQJyYUca7wAe295CtWeS5d0h+4hu4Ur/wz0CLvxRMUNM4wFZq9aiytQ9K6AFbJ5gvsdy25DQsQn3zcDNfTk00f6RHW2uFr/neKHVpjgZGkSFMoBd4Na6rGfw38Uzc/pxhQ4fibpPZ8vdJIx9XVZykwxo4eGsS7JZrTCNkQxcX5lIGV4mT3PD7YiKzsEC1zdqF3BlvHKnQb9sQhnixJ8QRBegBfCn/HRTMQtBc0DKrkMJrgUDdFGx1EW2Lm1xLf1rVn9TevgU4fwNe7RxzTjC+GJ0xhxRRW7OKKKZHb9TyNuFwiHWIVuABSms2JjQzMmciTh4S5dJhi7c/OFWmdq+vwrlAIyWqBkwuzbZ4xk3RBNYRGyFyb9CSEwmtfTwa8foAZ39GTIevkhsjouI5WjbBuCoRf+7oIJE0YyP+gboo1JmbVkpUUiUwA4Gq0SOR2A2BhpxonUWyd5HpfNJs37CpVne1gMtghFwf92gTMYemdopdIMSbXm2zH1lpj7Hsj98MPqm30Evnrodm5J9shM5jZXu7rvZPjECet5vMF0GD+tQiDqNI7dcm6WHHuxQ36bBZF6pSaH2xCTp78A4SG3WQMhxVf3D5jiAVDIGJhnSJyDfh03uFjPaIOAXNOdgjzszlqix1d923xskFutBs1O8181iEFxBggpVI7AGBhQIzX3YR83Gn7c7Hgv7JTRS6X8R5tbF2DJ+cuWOXJAzn9yRLotQndCMQCLD4/jxPCKqibCt32XN7SgbiYvL9QlHYywhAL7retwONjsXyPRxsTtLG1H8r2XNVfN3QVqWodb5ubqR2N4tDlpshd+BxUFME4yCj1GpmjSiXaMLEgP8uLs9MQaE2ERbH7UFFGznssiWM9yvvpGiFSuw143BJ9HJry77KQwoNMXiWsNuqFWADIWbCaym2cmSCxcEf4b+Nz143NAKhTRbhZMe1WZA1IKPjx4RMAYJCKFAp+Nb7GnywJOSlrx5kHjlSbf3rkWeG6CIQsBjtvrNrltuFiWFZYdk0IAFTyDkBT0s82orB6kYtQ0UYVSh4juk3COvJAOodm64T6a/Px+eD/toXJoxWqAC8QCWQJyImOo+z6HF8p7Dz7mXolBOXohyjINyPCEG0/23zcaeByaPePZfTJGisLn24TQ0SZYj+bBe27FzsH8dJHw9bEOpaIgIpRfBzGbvooOgYWCe06fRWRDGodL4Jv3t+hnBKGgZo1jT4lfe84cuP0OOD74YjlYiilRZCe+eXW20rI+zkgmGbO00/YmMm3ijKy27s+jITtC7ma62vrjH9nSIfE+FgH4Oln9PU3fymYPnnDy+NJRVPV9i1cBRIV4W5FiAX3NxdMKeO8JqwlYkoFt9OMUgVn06CZPw34K7wC1oDLG22UPNL0vHDNgklZ6PM9JpTCf19MG2G54//HM9fF0alAL+aWnaDcjYwNV9r6cmSOs9yLaQMB43eJiuy3hmAJCmyKeelZMH5k7LEegbyP7SyvEVTctuJZrQGX8wZZsoSrg5/K7LEVVsrgZybPhXSpSA8zwvtHlNsdHn/OecLxQgQpAKx7y03s3BnOlXvREJQulAeBoReB9QaoKWK9NSQOtEHEl1faRlmWhwEYKsKXF2gRnPcjZLEC5FkQLxH6fm/Uub/9+u2T3A1/Mp0rdt9HxFWxf2fw2rVaAgDQYi2QTUxKi1W4RHmo7N57kNAdODmE0iStpw+s7q43irJnYupJx/SJQh75IMhvCIEYnivirJjeXYBakW8nlF1kBVAseImCWhTrLIiBh4wqMKaMn+/f4xAWrBpRNODVcMbHdY9vxjv8SoWKcgBqCagPewzPfMDLncNImJgQ4sC5cx4MhyWbA8nW1aoUZZpGDDZnVdbaYCw6XAek6TlDSkWdUoODAxZQFkBNmKAEGluY0Q9HoIk0Na6YsFIlCqSn1cSn0qZjxEBbTdhmeAjYvbdk0avBws0ZF3aVw1J7QFMBBDVxhA0fGWBiGQvhnHnmeBPv6iZ7rQv5JG3Bk8+cC4u3D/sB5aqN0wfe8Pw6YAGhO9k2FYfZUzHPgz4dB0A3amgmBAQA8VwoxLMo9u8zwlzbQd441S7O5d1kg7I0yKZzxvImKLeuqwvBxMVhwWgdRhm5xoTy0r7Yndd2WFKMTFuCqFEYiHpQ7MnxLMirYF0joih+b/89vhge8VV6wE5WvInP+PXwCp+mPe6GC76/HPHHlwElDtBIPooGjk6KASgrE6+apSWTYS1XHKSW/C0rZF4gMaLeEFpEoSYmZB6sNK6fz5NV2ksdI3IYWsADEUwfFPjkHXnpFcbsya0FrtmEk5bSCjhSAuoUWgGhKYYWmik5c5bgrj1hbh1i94UOX7HikKYIxEB4vo3lkZEqOrqsTHBLMR5jhdbKvTAOQIwdqrwZ1QIXLknGY3G+mH8Ni0G9m9vcRfCAZpOQi1xxcjUXICaI8YLjzMRy+pgR59oE1ULg862jV7XtHK3eCfJOqPsZSxzs/ai8LDzLnz3Roy02yLUVgeJq89ZPLCjF2Qp+xoOqUYB9bLwo+iK7Tze7veLw6oy7wwX/4P47TDGjqKBqwBQyprDiV+fX+GMVQjvHEWUNgAxE6Iw2M7iywyUVmCqLk9uLvgScH7usNtYIkNopKjrFDUdXr3mY4vfEOd9hqYinlYXHe0LH09mEe7yoVcifIoSf6AcNgvWYENaKeMm0rQIgmIiWzZoOC9coJDTYmyvZNl2N6AmI+ThVxJVFK50i0Ugn5bnlBR+fXR6ko71ipG0739apKEAveAYrsJjauUYvnCl05og+X+M6ANgLigX5662N/sv0RzIISmW3kmKHm8q/KuphRNknaGTxdxtAx5UwQxYsabfD44oyBZy/HFpwO36wBG/sCCGPWdzXJ58DCrUpEgF17WPaINYdFkXeA8GSy2CIlPGxNrV5wMTcgpBfrhv/EwDsCu7vTziMKxFcAP7x8Ru8SU84hBm7sOL/M/wC35+OuKwJlzhQ0TRPjMd2gvneYPiOAMn8zulSIReeKxwPaDDeFBh0RwFWxfC4AJUxSdPUAMU304lfdj2GjrCz/e4jhxy+GB1SmWnfNbFx4dDtdOGaL7dssEwfee5p2moq0I5ZHAPWU0AJ9DHlWAEJ0JMAheOi0qVTfAgVZqzpdJZlSoAmjJ8yxl8/cHzbmwML65eCsGTUKWG5HxAvRtOaM4v6VhRcbwdIVaST+XFrBniSf1WI9CUqIEQ4OPcaqJUNlzoBRX0WeDJBJ17PPwUOz4LhkWdh/vUOsbIzWJQIxKacbfFIvPD7DB8jZt03HxrmgNHgqOsdiGw7B4RZUHaKp9cmwpZ4psbngDCnxhuvh4Lf/f1vcT9e8G+nn6J+w256PHNGav6dmQgA7FFjRD5IT26D+aXtVQRhKvjyzQNuxgX/9NVf4qvxEf/vTz/Hn316g8Ow4vV0wloiHmwUIr6PKI8RYVIsX2cgC4aPkbGWJWZlom1I4dnmCv9xpap03gvKHpjfMm4+/ipg+qS4vBXMrw3BtBBlsx4CoAMLaQvj1eWePuPyJYsB+28DDt8Ay33ApZKKVu9XyFBRE9dv905x9+cZ+RDw8At2UYcn7o86ArIr8MkpNfc5yPHCP3UAyg2r9csro1Wa0F3XcmGHOD0XxHePyH/5V6h/+DU+/QFjxvs/JoVi3VNENaxGoVkVw2OxglhqlAPf3+nMfTi/MvrpraIeKv2gxbbrFyuGmwX53R7j+4jlS8UffP09Yqh4//aA0zLg9Mt7TO8F44Pi8F1FmTP+BH/79dsnucpunwI8kL2r5N2SdhBbd8NgeR7EUEmS/60bQ34pOKNFOywBAPlaNMywGN9jRav0E37cSdMqIFy4dYlY1Vb0pM8ftK4UjSg5YskJAcrOls25jFKxjytyjfh2uMEaItY19nEURvBuHTft69Hw594ltSS/d296ECqZGzxk48M0MGgP9kO+Dhb8XgGueQggxw1d1EhqXyeHt738vdZVTN4FJAwwGPnHO4FxRZvn2p6bX9WCTVUT5EHr2m3HRognrv5oY4Bq6Dwv53DBftcr/U0YwH7XuDh1TOw0hIA4q8FH0HipTZzEYW5qZqV9w0t+AW/zq5CTw2CSzygUq6pKfw7eeZBWEdfGDw65V0ubGI3ZiYodsoI2b1CM++FJVhvBsBHJCM6L8E4yLOCGJTLKnzv0j/9u9hUo1T6EjFEyXoUTDmHGRQesVhV+H44YYzFdomtbeynyweTPuOetA+knpb/OII2RnC8FAw4Jtia5gmJBLzqZm8+R4oI+/plmUtG5Kt7l1uZngie4ZWt/CqBugjqv/KOP/yrdP3iXtPm2l90o71y/2JefXd7xihFikOWWcFYahajByrfvU6t1Oq0lYvtMjXu8HfC+nR/afGm83g9beBu5ZABCMIV199EmmlJtw6Dbkgf2wejWrRtS0TqrPhvQR4eodPpJ6874kHfrHIp1FVhU6Imyr3lcru3QC20VJqojG1NVQJVjCfZxxTEx4B+koGhAheA2zdiN9PFrSiiKRjXwKj+5zh0RAD/X2vrZ3zGwULbtktvFEVibPeGuTft7hSR99JPt38Z/N459s7+qTchn63/YVTeOcLr+HkRNGJXEOroVdg4Xh4f5fkG/X7/KBinS9naAopJO9NlNC0Tr9euv4Jr2c5/JW8lHZmARrikX9j1DMTH35Ik5X6OJ9H8vupZBIIPJo7s5WMLtCYZ3KJpf9X0uaEKMkgGHyHq8IQqgMCFV880Q/rvvC7fZsAi0UvwsQBsn2w8f8kkNApr7nmmwYCs+OFrHbcFHHEoFUKTxFcdQcJMW3KcT3qQn7GTFTlbcxBk7Q+cUK5rnSDtoXHm1EUPm95rvCHKFyvI94B1vLxoL/OymvSdT/A9rtc74JsG1/w8z19d9Rly1dcn9jAlFeQzYPpMCxKoNedOh1/27Nyi7mF86h3Y/zv31ucgNtePPfoqdGiKbexcQlRClxXXtzCu1Fz89/oxWvJEuYOfnmSPf/H68CK1G63BBVRQWgNtomECbvxJTNYTF9iqmHVEGWBHI0DPKWLVoaGcnCy7WAVdtNKktJUZgsUk2uoXRghx6Xva1Jc7bpgtUcMkJKYxNY8Qh6BoE6zm2Ykc+Sot5RBSyyAbmrdCbit3tjBAqLssAVcFTmXBTSbl6sz/hkBbcDxc8pl0rWpAjz5uQJZDnfZaWO8TV7tn2bplY4Lm8pgpxs6nN5cKBhN72+IpJrqCMkV1pv/w2ViCqQfBnrm2ZFIgKORFK7XSfOnB6BxsnaLG8733G+HZmqK3RwPeJMx9eAW2pjuYrhSYUinPkaad1CqivbpDWH2MdA4Yn21PQhp7y8aoumFXH0M6x7bjW7f2GAlJhzlxTClmioVpKjrZXbO9B2lki6HHLlXDl3+H67ZPcXIB8IST+dIPhmRyusGhPbAG4QIgOAesxUcnPAvS4AnGpVDc1JccWHGUesFeBAGxDl4DZjGR4JJxn94Gy99CI1SBH5HYJ1rsRXjmnuAcI36rWDYIgGWRlmARrGvG8W7ELK17FE17FEwbJGFAwSsG/Hn4X7y5HfJp3+P58i3KJwADMr2i0XmkJq3eOqnFmC+JpuTrsHW4XlsBANwBhNnjbwkHkkgK7lgFookxrYaC1kY3nAmlf35lrkHfSINSH7zLSObNjXirqQHEpQjz5uXWMqHuKAQFMoqZVjZfAA3n8pNh9qr0DaWvLDVoRLuzk6TRYEKPsasyZ3S1PCPyKAYhj7+B6kFgI6dSJHS4kdhBQK+Sy2t+sICcACHvopSCdKFjy9NMB61EaxFo8MAnG4w4W1NkcND2dofN5s54VWjLf/+GCw3cTVfROpR1sHDge7TlWjA903nEJTblRlHDn4QnXQaP0Q9yD92LzPvNOGhRvm4i131cgzRXjw9r2BudghgaVloyujm3QvjoCGCvGIWOXGPDvZMXvDw/4Iox4G36DL+MD/mz9Et+vN3h28hI230XRDhAGZ+QehnNm97XW6yTAKtoYug0jVwaQAxg0XDLE+XwGb3RYs8bY0AzeRUsXga7SkCOE3Fv1dbaO8lLhI0muggyAwkEA4iUiTXZwV3YD0qVXJLst2JpagtySnU2yK2v+vEiSrt2thABN7Jq2f/P3yLnx28U5uYZmkMtCH5EC6sgqdLqExvcuM4AbacWdfMuKczyb0IoHPfvAvZQ3CVDt3znMGdNDbbOXAbD7DVD0yp5DXLQXLQNQs0DtZymiHdbuZ0NWJAH0SSyJ4D6ZPnJfOMRRqiKdzR+fa6O+eNLtz79MkYlItaJd6Dy7NkeyCPLK9fvR9AlfDQ/4J9Nf4E244E/yG/xqeYuiAZ9udnhcdlhyxIzBRoyxOJV3THB3H6sJlBQrQFY+/4BWcKuHsUFKUbqfd3sLW1i6+0X35y9QDL7Ou3c24mvXfbLzD+NC/1NGJoTpUhDPNCDCuOXKPsmHrBhOoXHOHV5GsSnF9MkTBSukGaXFC6wO+Zdq3VUZIKVAYR1d6zKq3Yuotn3NBIFcdo0RYV4h55lJ7rwwGdhP0BhRb8aWBDgfO5DWzoD4xmMM2zpHKxQsDJLXY4De3wAXAb41Mz8OiEURn1dMHyPqkFqX3O0LCpRdaJ37agFdOlly4bzgCshp65f7PmaxhuvqwXzeU9AuLgY9twSg+QUlD3b3yWzJlHE9CQsGrS0jhTb93I0XwboEnOcBu3HFF9MTvhof8U+mv8TX8am9/2/Gd/jq8IjHZYcUJ8xrwodxIrfdAuiQFeOzF0+0JepES1B7gfzwCs0VYQwNwVR2iWe+JYbpOSN8KOgztY1HGA2uHEltiWtPELbohjII1j3/wdcrGG0lXdgdVuHzkQAMTxlhLsjHgDhHFj1s9u7wSApCS96rxwMdleP/XQfB+YsNZUmZmIRMpdv8eg8Xnguz8txac6OiSebeQBDUw2jzphkztAKBxaZMpqwoa99NI2wkm6BYDMAg33/PCqAubgBBOmXU87LZ54L5DalZXiQfHgWv/zgjzIrHnyfMr0K7vzISDutJajxzfJUOnsjz5+kkKDUinXhGhpUF4TpQeMqpYG3SSBXIHPDtuzt8HxTxY+J4tmdSG+sISBmYhE6K55/wM4Yn2glnGDPB1yBIP33C/+kP/i3+w8OP8G/+yy8AAP8xFnw4HvCT/Sf84+M32F7/+fgT5Dli/WLF8c0Zz+8O2P3FgDgDu++ZO3jxMu8jZtMZubxhovXwjzJ2b89Y/+sRt39ic2sLk+HxUbF7n7H/jg2PfIg4v0koO+D5J4JyUGgrDFtuU0DUaqVI7vRYcf4yIn11Rp4T9n80IZ3AMWkJmF8D5y9DSzCZEFtxpALhMbHgc6ZfWn+0UnzqIWH8BKyFgr2aFOsdES/DgyCpYHhS3PzVCojg8jpivk24vL6DlDuEArz994Uw7duA9YaaHsNJsdwILq9sZu0ojS4znOj0G1XI/OT4wKL5zopIvi/LSBHYYiMD816BVPE4TxBRnJYBOUfUqWK9Z2w2Popxkv/267dPcn1eHripyYtAu0n+MUdZ9YqCI1bwoZiJ2mw08SIDsPk3l7T3S0U502nZVvsdilgR14BqXIstjxQq8NmvULSJMIB9zwpsB6cDaMH/QVj9j1aem8KKGCpFSDygEm2dkdYh9mDaHKiU2oRKGLxfV95at9N/z8RDZFUrvaB1Z9prlGuk6IsnBRQn8grLhs8ZlgpZenImRjz3jh/fAHClvm2FUw3GSCVorjuFSa5fyw1p9+kwPg/4Nt0uYtYFfbC6tIBQjc/GG/iB0o0HFK0T0BMrEQC5GucSuKr86KaKBHTxG79KQVN03l6qFCyZPVmqmz/sLGp0uBmTf1dqZeV+M0LBl8I/V9Tg49qSqGpVK3IV0Q5i32cu+BZWBpxMhnD1DJt91M0Nit+zIgYKREQoglQMACZJmGTBTjIGyc3m+zrIZ/u8/XdlIcOFl37wEquMA+zw2NpSJKk2dEgTzQlUc4RXLhWtCxuyEiSw1lYsg4b2DNitYYfIA/St2mVTgC4d1RBXgRbjX1pAtbUT75r5gfOD3dzt33bPP3iFAJ8ZepUs+9+loM3Y9Z/b/vEk2xOQkKVx7due9WZZ2BQlEm3r5Tzjq+9atBUJth2bl7fldJTWAWI/jwlOBRqHzhIldg8BWPcKIzvOLGpach57gW47zsVRMExcu3/0rh/PDtq6+zrA9pJypiL9+YJXYcarULGTjtAJoubPWRW/6koK74XFnPpiEQCnYvj6UczDFmD7/O0s2/pwcV/ovssLMdaRb927qogbP+gF25C53yTq5vX0By+7oL4ebRyXePDa7yd6F9eTXP97m+BawdITfK6BoOtvvPhQ71Q7Wqnxzl+8xv19ZvHJzwz3M2o+hk4MXnPidxP3mQpUQfQuYAqtSAT0NUXRJtjFJLduupKeWPN3apIWoIYFjYPn9AZ21HuC0sS6NnBQFSAmwDUyHDGy7R4CPZ7RAA54v1pH97F21m98k2jv5A5SWuxyDBWrAgWCXVibij6XfHM+uqnaGeN+5bMriC2sNp/f4yye9X42MTmsRreKzWbF9CKqmc62uQH04ldDumk//xz9xGfHeaeaovmgfi7EhVxopwB5YusdU3iDoxWQO6pP0yb+aTbY/bMm4eicjS9yReWwVmz1FVpyD7UmjMXDV/Gn24BabOI+zJAppdtSe17+GPwR5koYg7/E0Ac6+n0Z5WZWpEtBWBN81m4TujIBIE/Irq5NbCkru8L+x2Ma7wi259nOIkF+TqhRMSzS+NbeYBpO1Ppcb9C6dSF3dBBfRSMNQXEbLxhjaXa3lIhTHhFR8cXwiLkO+FT2MAIQfVJSjCnjWVwvpjfS2rxjD0d8LQTARBGrd9OhNQ628U5rXs1c/HAXUaojOxWyymfIggYVrtdrq2o89ItiTYx5WPDg+saz9JRBfB+4rdgGqmgPr9mH/04A1Jyl64pEo7hoiMbxpg8fnhTjp0KY/bE/l4bgY90GeSdXaLr2mi3HXLEpLnFfejFaMtitt0IGquB5HhFEkXMkJTTYyK/Uufx/l+u3TnLr6QTcjFQrhMmYozuqsGxgi+DmT+diBwb5ZHHmz0ohZ1XgQY1vcIccWuV+CJAglLn+1INtwm95SI0PBcNTbb/fYIXqDkiRbwfkA+G4rqLpwkTrq4rp6xN+9vojfmd8h6/iI76Mz9hJwf94+kP8m6df4PuFXdzLMjSYQDoJxo+bii78QbsS8caSnYtagDhbVzOxE3ilUmmJlayZMNoNFK7eTDw4iiI9zKhjouCIcfwAtIHecVaM7aCwRMqDllIJF4qCuout8h4XJg7DM5rYT02C/TtF/cTRAsNjsa6RVQT9mc3FILhcAwmbQ8LuT4MAPuLppchUrVR7jaH9mywrcFnY4Rs7/AwhQI/7VjVV43T5iJXxiYHM5Q036/aAcAjEeqfIB2D5PhDeVl503qJ13FQxnDIDpHPuASro+APA75ECJBJxIBEYThVx6QIcHtRo8I5/beuGIOQ5pQB9wpWjaPtLae/kltrawgJoEb6PiwMl2udwIsckLEDYAcV4PduRKiuAsy54rAEf6x6PZY+nMuGS+3q7UmI60RG66IdKh3iF2bq5/kwBJmZm89K6WJbIqja4rvqztQKI2kgsqRWYC0KO0ClCizCnN6EryQpJG5/g3Vsr5qCodZjRk78h8r0L+SgapAm6hWPoo0RKR4FIAdK5GASvtISdh3ukP1TlfrX9Cx9hYgmr1soE1ru0pV6PF4rxGuXgnNyBXDfJFfF5QVhpp2X05yzQU9t4yEc7EAKTz7y3ofQ7s+d1k0CHyJ+lCFkLxk8rg/dnIk80BWwhuBIEWiyxnulnOPfv2k6Tc/kMzQJ7ZvzbnsNGubUO3CfpuTQl+ZastQOe9hPmgjDzeVUbN+MFSwbB1G1YTwnPhxGnOuJUJ7yrexRc8Mvla/yH00/wm8sd/vTjW5zmAefvDwiXgOHZ1SxZiWayrtzfI1EFIQi7eWK8W4DBs9+PCDQE6Oj+sdo+sPFvXqirdk9RLPmy4H3k83H/qtI57034yvxPXCv5soW8dammEKvUQdBAGHAQ2sbgfNEsm6QbDbLbuZk8f8NltYSA+7oVLefSg3qzD79fduU3hUovaAKQy9qSGB0Hrkvpe1bdZxgag+gY53Syezk8u81QlKrcFEL+PqQWYF9RJgDGEnZAh6VgOLkRXid1ooR1a+DIDg8qndPcfPg2+LegzW3bi2Ru5w7T90AWQBun6Fdc++ujKcx33QZOY5D/H29/smvbsmQHYsPcfc65ir33KW7x6ngRQVIMUgmkSCkFCMhGQoB+iD022cqmfkAt9aSWAEFqCJSQmQREJTKhFEllBsWIYES8eOW99xS7WmvNwt3UGGbuvvY5jxGJR3AC555z917FnF6Ym9kYNqwQVS6DYHmtRLCPG8ZxQxTFuYx4zDu8K0cMOSODNeiPmdLMa4749sMt8vOA+BircrHXzTsLLe/Y4md4VgxPGzQIltfUURjfXxBOK2IKGB2td2G45Gew8gFNwElUWSeelSJMI4NTTwbzYQXrDVvISAGmB61MDSmm9eGBxZk16yVN3C+RaHJ6yrhdmfTJJo633BARdWZQuij273P1N/saeZZ/5KtSHHHNi02vy3FSwPpqQp4ChscV6cMJGiO21/tGRfb2W1NEWDLiE9Wu0xgr/RNC9kAerR2NJVCoXss2LvmAGmQ5eKOD1uS6dGfG9JG9TrdzvArqTl8nSEmYXwu2A+palkIGYkmC8w8y9CYDS4AsAk1sB+PBcjrxvoZH1ku7wndV1LdrvAcOvyHb4/JmIIvTdESckj9sbC+jETh9FbAd0fRRErDeei9oPvvyuMP/4c//IWJQ/OhH7wEQCPhw2QO3wPfTR/y/nv42/i9/+T/F82lCemDrw+0p4T4dIHNk9YKyVjRswo4DC33AvC+ICIiz0bt/NeLd6Q3CLDh/z2MZsAQhAtshIpo/ve0jVb0HYP8bAL8JNQDcdsDyqs2fM0SWVxSCCn9ywM5qgLedJWcECDMwmbaPs6LE2XxCdHO9Ucw/Ye1g+s2I+LMR5a7g4e9vrF+2+mlYAnj/a8HdX22AguxaY4ukWUmznphYWe6ojL1/Rz//+XsRy/esfdCF8zO/4Z4tI8fR6dQulAqgshFco4Y+Cdf98ERtF/axFuAUcPn2FYP7I+05oiK/XbEtY/2Mv8n1Owe5uhhF0miFtQaoopAFYc3w2gOiVUyvXtXCLhQT8WxnzdxXp1IhS+EhEwMUNLjjxn6sLj3vAVY8bTXA6i9mFTMP0pKqMJC3j3GFQ91nvL454av9E16HE27DBa9CxiiC77Zb/P8evsa8JVzWhK0EuJR5WDjJ11/6mX97VtvHaV7o5O5GIPEAISoh9cDHukEvFwoyFTVnd48yRMRtreqdZRdZ9+PtTMCaM1LapAYkLfCwMRaSKor1hHORnopYJhND2RTBqJjxTGETUvPs27zWuKs76bPEtU7FlV2HVA+dek8iIMBijr0HwOcZOi8cRq/Z9WzplIzOakInQWobozgXUndeA51ocq1Z1KTIVv+aJ0HtV+pXUWCM1bGuKPia4e0CVAQilknV1mbEDyM6D9fOKbO7oEjFiQGF94nUMFF91eZABXT2u/FM9zPCZaEDOw11bVVksQDYJUAi1FGLgJoZrii/EMUFgFWBVQtmjbjogFOZsJSEpcS6obw+lf3Q1GqvOW8lknJf26qgm9d+3b9ELLduTpMFeP4ZYgj56jV7sNpsOuxEXAsPjg2s4/F9o20tSmksCqiPpcDVp52Oy/VToDGxZslZIpnIAdd399n9cwYmq6DWZibToVYP5j0QsHFQT3apoiotu2V+oXx8tW9ylzycAzzRF0zkIgoPDBfP4vohSllEa4uyniHR6uCZUHBlXjlbecVugA4gUroViBA58kQeh9VrulCRCNLFKfYVlkZdhO+PegOAuuhSLogPCyRnlN3ANW57oL+qZoECGiKR0CyAUzwzaEvWgHVNWEvEqgmnMiGi4Lv1Ft/Mt3h3OeLpPGG5JBNNkVbasDUVdb9fTRT/kU15TypwUSUmVIhcwexR3QMmDOfZ9KvLKc2qFBgbIrz1iIv/uT3pe+D6+eookds/p1PWADSxBp416WyppMFuP9QprEief48jyUSK9Dp5ZQwa2XLtiVvrbV+yBF4yB/x9nrTshNKuGBeFp1iw1hl5CvB+jO5oEs1TYCiQsbAG0llZL6+a5G1MiB5FbN8vlVFTrMVMdTKtZlUDKbW1hKHaNV//VndpezBdrJex9UfWIFXEr859P2RettAx0HwduEZGiUDZFcQxI4WCFArmnDDHhEsZ8RxGFA3IkKqzsGlAfh4QniLVpa0tnte++3yrpFqyEZaMMkbkHff8GASS2Sc6dvRBOrBWLxpsLVyxEmjHQ/SkDqyu0B/aEhnRWvl4UGt2OJ43hMvG83fdEEpCWEcmrM1GxLUgnUzsLTHprHHAKtRsYLIIGB4yfSXPc9j5qvY+ldaGr1fnD2u+et7tELEeA/2seQV2gmylBem8QVblPSRhK6CVtj4sue5tjYJStPqjrsHBpDiTDaJC+quCTBPRipy+TOYMJ0CeUf1sT/qsN2IBNVBGYwVY3sf1QnRkv9W1jMCc4KVdTK7YWvF6UgFWC2AkG7pttzE+Km5+uVgZxVBbNQG+XziuwxNp52xp0+npBKBMCh3ZngsC4BLx4ZtbTHcz/taPvkOA4i8f3+C80Ac6hhkP2x4P395AThGjtSSVhe15vFStDCar4CgrWLsMC6gdoR4eBVLYG3e7ITI7PEtFwRkQBhSjueeJ4zt9LI0VsyrObyPmt935qB0bZAN233JgikkIeKLLE63ub9QafGOqRGErpMOrM0lYfz5h/41ifQXcff2E5+cd8LSr7AUmjgp2vzkjHwbMb4crUVQIqtJ0ngSYiehKUTz+KGG9Zdun8QHIEaRkR7D+twoYXs+z209XA6/0d7NjUgi6ALTp6czXziWiTIpyt2HYryjjgF5b5q+7fucgN9wcgd1Ep2grSE8vehcpTHTIgjmlSE8oBbtvN3PeuSDinLH7tlh03xl8cyiDq1MOgSIiiwUZOSCsDUW8qrsr7lAIyi7xILLgJM4Fw3Nhf96BIlSVYnFmllNV8M+Pfwe38VLVlf/l44/wtIx4nkc8P+5Q1gh5Zm2c05UaumxOcAFr29ZC4+8BiWfdHMkZkikPgw69BwUAMCSI7K1uNUJTbEkEAGW09yoqRZy1uYW9z8YI7AOdBquX1siAzudAinIOFfzcTEl8DxyD378tsLBk1g6HcEXrBCxb7lQ6qy/22jPSr7f63WL0p7Zw+wCZog2iDOzFEO+rwEmVqABWaB4g00AEVaNJ/0doJNNg905qE2+NFEqo9Do/H0RwxQ3qs0aODCq4VhEseMpQJLikqtfgDqcNenHxCmMcWP+9YoFzPK8Ip1ZLA1HWbYdQHQYBAKvXra01rFZZrEm937uKEOk0xe26H2xoXdlTThEPjwfEoPi3N1/hfmBa9y5c8K8uP8afnr7Gr86v8Bcf3uByGVDej0jngPQsVbFSAyi+spkDctkqPbhHcK/H0n5uVG++JhPd7NCgOs/a3b/XpasaPc9pRlopmv6Z1Slfc3PMgRpg+qxKJNrmiRZHvIYn1iVxSizQtf6jsmyNtmp9QqvAWrdvNQjLARIR4xrIjNa7rA9kiwJqiG4QIMQWeFpLFhdF00ROJGvCaEvTKTKBUUKl/qZjgCYT4wuejDBH5jJDz13tudOml5X/zgNtttdGj6na8zhnOmWIkKCVThu2gnzpeXWoVNJK480F4XNJEADF0XxDNRVEJLHmihz39s3b9UgUAAyEa+sutUC3MNu9XBL+63e/j1fjGX92/Ao3ccafPn+FXz69wofTHpf7CVgD0mZaDRdrE3ZmQFKp2+B5JQufoyK4yQvUWwKFCRk02xYCMMgVQsREHuArsiZfQhMHqrWiANdpTx+XK9ML2TKC1wN7XXwpFK8JBdgEIWd2OhAhM6KXdTDH09Xioag2Rs0e+54AwESlM4+s77JsNg5DasJX/swmHCjjwN+HUBH464VDFLgPKEQKRnFkmy0Lt0NXI/uUoElrHZ8oeDbMzb7KnBHAxHKIAtklLs9OQ4TBAgO8iA5Vca2Lxct2gGRJsnRmEi3vGAi2LGfnsBr1uwICgNVIa2vFlf0erodDbd+2HrM8Y8Z7gZSIbZtwvwUsW8Tb3TNWDfjvwk9xCAu+WW9xv+7xYT7g2/MRD+cd5Bwq06EXdxNV5H1AmbwGmoHedhwYgGRAoExI7UaUXbqqE1fzFcRs0HaIVopDZks+DlAZicQ+E4nNN4ONBe1COpdGXTZ1b2ih2GCJtIU5QlZXob8eK0+29sluV0/OJubYhCnDi5ZHHON0Nt/KOl1oFGShurxKamvaxsjrEcvdoflxW4Gs14yrelbXEi3/Xj5ENOEpD/TcBYwzMH0TUQbFdiC6KVsLCMsYoblt5LAwoVLpw75HbFmmE6xnKRBNrdoRvP3PE8o3R4wC7iPrsc6170EhgyspRI3LAFy+ICI3vaeqsxTg8Sds1UXFZOvTvpCa7Eq9u/dMOoxPivFJMd+xzQ4AjB94hm17BuVICk0F65zwJ++/xH7Y8JPbj7hNM+Yy4P/68T/G//fDDyAztSrKYBoRZ4FekpV6MZjavSOiPL8WzG+sxn8ThFmovTCz5y1ggNjFmGKF43n+WnB5GxGXiLAkIrN3sGQOa5anB2o4DHvutzwaOh1BxeB71BpV1wZoonMtnmDphaAES1B0NlsKcPqO/ts+kw01vROcl9eIG6qS+3bkPJ2+DgCOcD2dsAG790z4lJSsJRg/m63TuD+HkyL+JcAOK4x5dt9aQitReTs9O4sAWG+lJj+gQJqB8IDKXCAzB0yeb2QIlhE4f831nY8FSAUSC0qOXIcroC/b9/2W63cOcuXuBjqNYJuMjPRwaYGJBZYlBXhdHG0+D+vhVx+gj0/AF2+Q3x4h84bwRIer3O2rkXAl4nDZaGCnBCQGWDKvPCCrUqgZWstey7xBltWCx0Ol+clKmsuQaDDXg1PBYAFGQC47fLMG/Nf738cYMn79fFszRQBwOk3Q9xOFsy6kPMQLWj1c1sb3N/TO+93mPT+nOuMefwgDmLAxG+jUNgB0ap3GaQiMmMOtA0Wiag2LJQakaM145tsJZZy6JECpFLZaW5ML4uNMaqTRcMvtAWWfKk2Ou5eOWFgywplF6+JtIzyDvxVmebdCpxmoWf4r9eLA7A8SGoXVrbqjuJGoCYZktNBQg58q4rCsVpO7Z/ZzEYQ1sd3MDYPd4URazLZji6eqetepc9Z7+i10iN7RrS1j1kJUIgYoWKggKEZFt9onSxaEeUP4+My37yaiK88XCq84FR1AWC2pYyiWB2sAqtPoQZbMG5/fUdAUobsDg2iA7+12e7SasvQcsI4jPgD4s5uv8O14gw/bAVPY8P/+8BP87MMbnE8j9P3IxtyPbH2RnlF7pLkYDNV4DZGe12oHrursYqO7EvmWq7Umq9bXaIp0gEWasx7QFFkL/+NISR/o1+DVx+ey0Pn2z1S9Fj7znszufJtYT7o08Z4yxLYvs0JOl2txqSFBD7agOpZGDdqNwlx/5n+/yL6jKHSboTlDRpaCiFGIIQLMC3TbIOPIZNkGhBNtQEoBYY0Iqxq7JSDvSX9bb7XW9yksyD2dUE5dkJsiGSPbBkmRiQFLmJCOZFR0t72R7XCQwcTNVoAUGlXX9lHeJdroYHsrA3LxwLBHgKQGqz7uIp4UswAkcO7Zfq00uvuY7NBsCBJpXYbsFqA8D/iLX32BmAr+6vYN9sOKxwvFdy5PE+KHoaO40tmY7gvSmcwh1OAKiKeNiamuBMOTgZ+9TIiHdaVu8NUSNjYvsVsXlhAoRk2Vy4qrfumKaieD6pX5olP9Ynyyoi/YCxa4MiAZags6Mqqcjnn9mSgFEgIV7FWhG8sPNASizvPGfdE9M2JAkdhKESxYQODP22tBO1W/UOysKJC+37YIWUtREJYJ6RIxvyJFMEIgDzb32WuDlQHueW7PMi+QTHG4kCLCYbQxYpASLltl6JSRCE6aUZOULNcoNQjSIAi5YPjuBCwrtq9usbwebf2Va1ZZlySulHunNwsDslCs9Z6PIcCyI0tYxtV9FWoGTB/owC9LxLIJTlvA+9sjTtuI9/MRAPCL+1d4eNxzeYqiLBHxFFjjt6AqRvu9rAd62N4xQyOw3qSaYCI6E4A9z9gyul22JMBMxtx6N2I7RKRzwfD+AgTg8uqAvAvYf1MQHi/A3d66Ukhl7qVzRjpnbIeI+c5qeU2bQiVCJmeVRUu8XO87BgMMXF2IMJ2YhChTsB6o1qszSW1rRPVawfhcMDyscO2LOgeDcBn689q6DkvBcM5AANbXu3oIMSlRIJeN+1TjFcvJa1+93zDABEoNAgSG2FrZxCMpyOfvM9Bx2wZlkFu6Mqt0KcCFAV0eBerYChh0uGDr+FQwfVyx3iQ8/B7ff/fn7CJx/iJgfss1Mj5qZeIBpKCuR4oXHb4jYHT+ikHc8Ki4+8sFp+8PePj9gNaeTLD/hutqvRU8/6hYu8SAdFbc/tWG6cMM/cMDzl+xlnX3juN8+QLI+ya6VE4J79c7DIcF/5sf/Gv8g8Nf4P/8/h/gn//6p7h/OCKY2KKy8xPGD0xcbweWp0kBDt9kpHPB6fsjzj8yltYaqghpuiiGZ0O7LSjTSOqxJuD8danCXlfsuAyWOiRgugfS44JhF5DOHIt8U6BTQfh2wP59wXxnrXk20sCpR8F7zKO1pByAdU9UdH6jyHtFuIi1KRWM3zCAD5mv2X+jeP2nDDaXG87XdiQyfv4aWF5LRU3Ts+L2ZxvS44ztcINtp/V58ii4fEUK/es/zTj8asblqwlPP6Cvsf+WD/3w+wHLK0V6Fuw+ZKyHgOXOk0ZtzXkruGyt+S5fMvie3gcMz8BlB5QfXhCiYghccHmLKGvAYAzC8tv0Al5c/15aCCFb3VkMgBgOH1hfR6oeA0tsbBgcq8Ma6KgBjfYZAry1xrVIEVrmuyjPagtWYYXKXs/lKE/djC8oUgzsAvJxwHpMRhWC0UIA9yA0CPI54dvnG8RQ8PFpj21jHaAWgT4njA+CYLLsTgchUqZskGwT4irGkhXimV0TYgAAWTKfJwpvpJgyn6GWjqRcoZsvqV/+fCKQYGPUUUNlKwy4LE4FUHuFapAuqVBq0AHAUEq7754K58/hQa0jVJUOqtf3506gUy39x7kwaC3m8PX3nAu0hCvHxxFsbGt1BPurUrvRxiwsiigenFvcbHOdToK8SaVysLWQtPY1ABBi/SzkfFV753U5UhS6ZdJnpZvbSrsTOpwdvZXMhtIc5Y6CWOlrG9er+JoQ4Xv8frqx8XZLFR2tP0dDATIqzS8sAlkE2yXh18+3uF92eFj2GOOGX9y/wvPHPXAJGJ7YkzWakmI6K9KFhng4lRrgXqGtqtd/YHNrnrP0wa/XZ/druqejB9vPBRC10gYaBUBKpUc70vTycmSW9/BibCrixvQsRa74mVXcCAby2ne0+273y6CqtHmABfD+/P17fG/4z6sd9WRAhERDcT9zecDA9hXWZ9dQVKeuQkMVt2EJiKBYgqo6YPY9V7piKfFnwVDpoBWVD/6cVistqhV56ZMD9T4V0I5FUO1gL0hm7aIcoZesSKcVTuW7mi+A+8i/r9+jPiaKqr7q0URYgXhifWDBgDIU3IviOY2YzwPKOUHO0dScpdry4Gqnfr+KTxG2fs1erXWQR/a5oPcqqYEavKGIcYc7m30pLbDI3mu1+3rl51VRNYDJCU/A2Hq8Ykf5WWTK4jDtgNoL1z+3u98eZa1iil2Az4GWazYAAIwD56mnVsdY59p9gRre2vvVk3Xxt8x3NpHJma3ikvWDhHb1xR48DAnYmrvDfXrNrOifTUqpSbOwcr4dZXUkFuhstI1HGRNczK2nFYrPD9B8FP5fLbPivCl0aQkP6RIZ0jGBxFCkPHaJA4+5MoBN8DiPmDNbGxYVPJ9HlEskmr8FYDPmmbUrchHJ2vrRLhemqa3KfEz7QB2oqH8VoUL3Og/kBvPvpP0eKZLG64im4CrBLIaQ1oSVmh0uuF6Tm/JW1OfQaf6As7K8RK6WaHU5Shc2iyvnJVj/dQIP1+UVXkbXJyw8+V23Q2j3olGAqSG7FGsLNaEUNtp/7xqipuFSktC8ZNQazEo73qykq7fnxtCrqytax4aZ91lGNNvV3fe2E+SvR7IaJ9R1SxQY2A6KEFuLq7hoB+SwFvP0NenlpOcSEPHWMvGCqzrKkojerTdAebVBLxHlfUTZWIstOrFHrZtSY1F4LSo1BQJ0VGDaABX8Nx9+ip+d3+LPHr7EZRlQshBxh1CF2pMVFqiWAch7xfyKnUWgQDgFxJl07Hhpc8e2j2Ra6OBjY0eTgGUSCniLvV68VoXo+Ho3Yj2Eir6Gi6CUUGuPS6Jehv9bMruXDCc+fx59Hdr7rW1TsD0MADG7reRcq8dCKnBRsPQkFnB6fbXtzSSY3wzIu4j5FZWU+4VCBW0YoyN1tof1w1x/BPw0AMsNk0bDs7bSmQLrsEC/wD9/eOTzQpmAKIOibAzKogg8KYcLk3JxbUnvv+763YPcZYU4PWIcAHtYZO70IMJNv2xs9dI5AboboYcdJGdm81KE7sfmJLkEu6s3msMQNja2D5eFWeMQKsohjnZ0jpGmSKTZbO92M6Ikwfx2wOUNB9aFoqYPvLfllSDcAtsW8R1eA6KQSzRuvFB05wKMH7mS88RAIs7cTONjweHnT4AqymQ0wzlXJE5UUXYJ690IFWB6tyFcjJ6aAp/ZkLzyioicrKxncxpfHWe7KErBjKYqFwIHgE5NOK8YNmZQPDAMH58hTyfo61tsb4/2mR2FFADWjHBaWyYdqMGqClAOYw3OxOv3cgamEWVMdJJNQbYcRpQUEIcIWUeiYk9nSClEAwoYRHqguq50GpK1nDjsoLsJ8nCC3j/SIb85XDuZy1oTBOWGrYiGxw3DIywrHxAXWjrvxaYJlSK2u7caMe3aB+wmUoXXDXq6mBrki6AMoDDWeYYMCeVmB0chayC8herUcY1nUyfsnHmn+/k+EUHogmCgGTXYfVDJ9fNJCgRSt6joyZ+lM50w0sACyiXgN8tbCrYMBRBF+G7E/iMzmsMznYg4w1pYFKRzQTwXDI9m7TunQ4fI/bus9tyGeNSWAm2NeY1pOe6gU7wOVr1Hs0oLtrZcHUkEBum+buHBaR8oA/C2JSxV2K7nztWNczFxpwJx2XUPQBdSjpFLexYXRPPPsPmsFM2A9n25fCI8Va+coVsX4AaBDFMNcPVlsqjvHWxotOQMpISYImRMCHOoSZb1QMcDQvGVMvEQgQBy2COEDHzweynQ41QZI6IKbN33+Jh5WUUpCPczP/tuj20ytLtDKkTR2qGtXfKufr4l2g4TypgQn2fED0/XwdOQaMf9igE6DSgWaENZ7+b1fvEsCEnoVKgJt6xEybYDE2VlTJgjMH4MGB7Q6pHsIJYME6wrLUhXhcylBpSe4KOzarTlvuZ8HKoAU33ePgEL1IAK4JkImLO6FURjHNX5Fjq9LEvpDnmzMbX+drNa1xiguwlV70CEivNzRm3XAyCejdEzDqSkR6HtFtQ5cHG1evnclQJxunIgE0XWDXqZacuB6z0XAkuHgiDeX9hWaByg+4GMHVt7uh9b4tW/0u7AGRoUMCoARuRRKj2ujHQKy0Bqqt7s6YjW8cpAGm1dOX8TlkCxUoTzjGhJ9zKy3ZeKIF7YVos9QU2AZea5vL2aqg1Ml9zGLbcyhzJGJioK2jlrwVA4r5Blw/b6gPnLiajtmXNbAoM2ig0W5CkgvyUqxNYrMEaLQC4BH++PkKDIl8S+2ksgavMs2H1Hp9drWIcntusKxj6rQa6yx21tN7hm6BCx3A22puw7syKqWr22nQFRgBSqY65JkI/ORDMfaAzY7nbUEfGcdFfehkKa5/TNmeeYrUkm97j/dLA6897fsTXibLWcU6sHVtOQWLrn9DnIfN544WeV0YVJg9XIWpBpgakGQEd38K2+tt8kHtQNEbpPiM8r4uOl7QGRqlPgQJBOEfFuqmVWJZn9rusEgGhF7/JOSeGFsP3jpTkHeScYZrLX5ttARNsTCR40FlJXz99XeJlCvFi5xlyw7RPm762QOaBM1CrYvUPrarIpzl8JTn+4QZaA1/8qYOd+9C0R+MM3JkppKtfzG8HyRnD50Yq/+we/wq8e7jC/ew1A8PSjCMkUhnKNHhfHkgyjDnMRLa8U8gV7Pv/r//an+JOzYH1TgLsVupjoGazVklobpsTgdnu1YbsR3CMizAFxAY6/EOy/K7j5+YwyBpy/TNh2UtHc5TZgmQhqTSa4Nb8VIClQBLox0PWe8J5QmF8J1sPIZMKOzzS953mVThybvAeWLzPkuOHHP/wOU9zwx3/8Yxx+nuBCTr3w1PTR7JUF7eCyIP33hmd8OjVfiF1VFDe/4L+3HeMW1yLa9sDHvxOhErHeKPK+oOwUesiQp4i3/zJgelBsk+DpR0NNPJRBcDnymeJCtkGegMffIyp795cbwqqVKcG2X62UjTRyss2efhJw/p6VDz4nlKTAzYoQFOE+YfwQsHunGB4zyqXLUP07rt89yC2KqmfdUaOukAoPVJ2SWBVTYRQlOvnXCIA5Ay5yoaFTf7RMY27fJxuqs0EkWNs9uCNaivHcmR12moig/X3Vh3RjIXU+kcYVZtv4Z4P3z4rB1aQLJyuubgi19jyUilAYWu3P4Fm3FzSbGhRVxNbuz2leQOfE48rZeSnn77UDdR42Ey6oNZ3FVF5Lu6cuO1+pzD53tZbEGoWE8Kmuh2dRgavkRI8+axTeS10j9l6jMl5/nF6jfhUdLPanu4OXQWe2ATD0JziiGULNRsYZZpxszLZPP+f6Xmy8fK19DsnxWvDYO7YCoDnMV/fdve8qiPFa3x4Z7a/PoUT+88K1UEUp/Fc2P1AxVJeOXTjZHrP6pngSxDMNV7zwcE+zWrbOFC6XfNXbs//++tyfe86XrwdQFXR9TEP7rM9MBP/OXSBUyqef26+Zl+//d31udbJKTR599nNerpPPPdf/mMsRB1fytiDhak34937u3n2vGmsgZNYUbZDaroQlox3q/PIzPvOZdU+H9rNKN6/I9bVzfPVYFhTWpOVv+w5LlGEzKrkLwPVrpgu6EMBWP58bS7eBlv2Pdh8a6YxAwcTkmY5GL+YRV3NaXXzJxQ/NuZbftoYdSup/XwOoF6+vP+/eGwAXoyPLQ9oLHFUvAfq5765n5mf2QfeaqvPgZ1Hhgwvsc81W1ZZ0fULi33X5c8QALZYAcvtsNev9WvH1IJmibFdChcFq5F/OvdvBq2dmQBMNecumEyARpujPtfJJDbQlB91W1iSi//H7s1pw2cAkoHLMtIoA9ucPUAJF08RqbsXR2v5sLY0SzrG18VgzsG6VNu1BmSNCzsipQIGgobiCuobDKshzpN1fAiSzxpBsHJbtAMCmjUrobb56ZoBrHfj4EKnUChhUG9DPv82vWoDr1HovIeAv0VDU8GJufB66//eWdCGUrkbxuiWlr4U6FXb0t3ZFtg7MP+w5Mgrf0xYImzBZ6RFru2/3k67OcbdJUVoiWkGWilgQ1FmpysLrAZnC8i5kE2W1NVeR3NLmQ8WEn0JDZz9nexW+Hpz6Ks3XLe0PAoMiyQKxABcCtmqxtYXIANHnLWQeMzUAGwo0d8/oP1fUGnJYXavTq1GAOScUL9cIDJB8/LjnUMVCnfJarJ8zABSlTsP4FAhkTAHbIdQAkGvN57VOAIhuSt1XjtbGmZopogmSEySYuOai2Ha2pl6uM4XpkjR01Afa65yzIatha3vZ/c3gSP3KZxlCxiEtQNKaGNCg9JkzzG+zcZQ2zl4n3J6zW7r2fXGm6B1M/JdaHVLRbY2ADj5/CkkFCLEKjWInV+NPxoHdx1qnuQrtedtAD8DbDTW/ymvlZeu2SeG8aRaGmdZXnPRzCsn9Ta7fPcjtry4zDKBufEdAri5VyHnm8/ghuqwNibHDRy5LrTWUIECMRMj8ABwS0bXnEx2i26ONuh2e48C6NdUm7BME0ITpPiMuAXkSzK8E2agdvvnSCcAFSE9OdfENCxMlAIZn0pkOl1IDCmYrMsp+IN3pslw/f+c0jh+korf51Z4HqmWFsScKKblY71Sp7YJcddYz4hVF3TaEF+rOfV2viFAoqSYaEmS/Y4bYaupab9sAV4GtKLx/jgfv7vDGCN0lZqjHgRSk/YC8S6zTNGQurBmau+DIkL6KDkVpAXKagOOe3+lI0ukCr+OU/R5XtFhD1nQcTKkzI357z2c5ssY7ywCJodb7lCgIWyLCszNDZKqz/cGr84LaVFlCQwht3VfHzdekCBHlq8TNVue9BVOFh+K6ErUehtbP8WKO/rISPeyosdcTLFeOpI4D100pCPOGosnaeBoyKBRaKwOpLtNHM3If5cqRGh6B4dkUhRc6C1zvheqWhs5VhMdbKvQUXbu/K7q9qiGrHVoqpBsHfxagOvXVwcptncARUnSOU4+oelJrXiwR170mxk/Wck95F0+e9cGXch94P8b6LDaHNRC2+5dLq//TFK/WQb06JWlJzdEBwGcMAcihtQ5y+ql/r+9PEWjaNXu7GSsiKNLzhoPRxuZzxDaxZUTeCetilgW6LFe3JacLcLpwP1prOMTIQ9ad6xSgU0SRBNywzj8+L0jPc907V8wPp6f2VO/+WUQglxXxYnX1rj3gz+fP6uJe3foJ3hsbPPy8tk2DUBE5A8GQLtmaImYxRdz0hIpi+TpnAkxroijOhXoTL5WF7RmkqO09rnNHVMuYUCaq4YeztfKZBpRdQyhlUMiYjDIW6noOQA3kmTRdqzKz08erKn0ASxoua0VNfZ36PrneA+E6kDRasA7RWCFAbZFSHSZtDJ4eYbUxERMr0xh5Nrx9zfl1lkoXYMRn7g+vlWcSM/Ozd81+wcQlsWWeKZOhvaa07W2cNErtdZtdwGSm4zY+sj65rA3h0nGETpOpqivS44yaxPXzMrI+PT4qwpzq+soj66T7zIqvd9kUwWx6cEG0mXWaVSE88n7Dam1kPKgLRuM+7sgG+8h96TTLvAvYdgHRvj9PAetBmgqr0p6HRaBnQb4M8P6aGshYmD4QzfGkTrQ64/GZzJwy8GwIGVVoDQDyPkJyMKFE1ER6sXsJK9HlMkUsd+lKxMyVuqUAeRfsPgu8VrUljejADk9bVXEuQwCiYLvb0Yczv4cBdoCXtrX92HyfMgR2RAAoihdAZHQUDE8Z6WExKntAiaHSOzUJtkOs90eKdKmf4/oyYclGKScLIk+BAltrK92JzzP362xJlRSQb3ctAIY2EMA6PZQxYj2QCRQvGekEsrSEifnhqZiQVkTec08VqxIsqTtXbezjzPrmPLU9Ei+oQllxVmx7tpRLZ+D4a9qYbR/w9EMi5+O3DU3USEbXcCq4vGHNZcjA9BeMTs9fA5cvWfuazv5ab6HJz9i9U8i3wPR+wK9/8SOIAsmQz7xnwD1+EOy/VaxHwfOPGSQff8H636cfCc4/2oia/maHsAiGBz5XPAu2SyD7Sxk47r4Lte5cNmAqQLwkhA2Y3jPo69veXL63h7ciDVkxfpgRTgsk32HbU1xqfstxl6yI9wnDI9WGXdQUwRBoIWpaJsXum4Av/nhDiUSs845socMvLxieB+w+JKyHEX/+i99DGYH9g9Q2PSXx3ze/oNL4fBeQd4J4IdjmNHKNwHOJ2A5CAatCltPyigHy4buC8X7jHBTFepNw+jKx3vfW/MLVSu4i93w8sztLEzGVFtwawqyBolMaGTtN72Fri7by+fsR6xHYf6s4bKwRX48MtKePhYyNj7Rrea9YX9tevh+AIhg/CqYPfL77PxiwLRn4p/hrr3+/Qa4faHWHSavP+W2v9QDHXsc2QVIddeRclUadtirbyL6Z/h0WCCBaYGuBYXOwhEZupQKprCMkBXLutwLRiMsb0mWKSLWTYaUDnMr1rVe0d7Vaz7lguL9A5oxyGGp/wjJEMnqerL9tCHTWPCMKijZpCCi3E3QMiFkhul3X625ELHVMLQtpSIr3nguFhlg6pc9aK+vjXx12KlwjmGNWnaF8jYb5vORCBwToKKalogGSCzAo1Og3FImiM6opQE3cwVWdPSDCls2RLHDxMI0REm3uUqTTmLXN57rxXmIk0gW0IMYzo0NCGRNCKdBnE9UZXD0zwZWGxWqg0xSQlXQJF1755HJ0rF/bQHPYPfOcbDwNleJYSRu7l/WFNra68bk0pauASNWcan/mvibNr565YAFkrc3dqEqnJVxl9VzNkbQrfPI7gI5/7W+a1RI7GxVlLxvC0taplp5SbZTeHinxINL3fAhNMbt069PHh1E5KgW6c2RqAOXJMQt+vc/q1bW9GDtDi4nY+Trv2CV93W4NYi3rFSgApNa6qLIffB+otLn354zxegx6W9hn8ysaYhltU2Imo6O08Xl52RhrTy/Wzmk0KhzbrE0ImzBJA0WYLbDI1zZblxUoGYJdC7a9xtiDf7NlalROKYr4oJDLwqDe1OKr3fBn+9weqHspN/qmi5P1dHAPyqqt8L2Q6/q4EnGx4DCW5rzEolCrQXL1ac9ssxTFxPqshV1VNs9mV40GXOfIn7M7a5gYJDIKv0+zzVBF2aEFnIDVjPGenNXDQKjUtaGgnXXGkyj7pUoKRHu7Ot4aoL1kOLj96lW+fZyHWMfU6aKkZev1fNk+64UeXWCvsrEGC0CSJUhOM891n2tHLMv1+qsq3l6rmK3G33rEK8BkgFoywIKGUsuY6AhzjYM0e6HjVwNXH3OjKWsI/B5no3Q+ST2rZ9LFw7xBSyR1tZu/q6VsKHANcNfMRFsIwGG0ZI291kuS3IYA0JtYqejxYuVKKVR7XQZADIEqg1Tnt9VkmrnYmNDxoKIMFmw8ElWJa3cPaMwcqI2nBaIhF+SJoo3VVCm4PgCU0e0pb4B1hcLXmw1Ks17VHTb/ydTKO7smagHieWWPeU9aWZ93MZab+z4VZf2MbfTWRfWsh4+hPd9l4/oRQXAITO2vaKU9Fnh5y7/gmhpFq8YMWTdg0i8JgIKQeSbX9evCYocJZU+gInqJAnzPG7JobYZchVjWgrAGo8DyDC5rQLpwXUiWhiYKPjkDyUgpjWqdgeFcjJZcEJeCdIlIZwaQu/csuVhuxlqXmZ5J9d32DAZd10OFZQFSgPEjkcD5CyUqXMggaC0QpQaSwzM1a9IlYHgyQaUb/l2sE4AoMJy19laF8DuHE/09udmgp4Th3tq9GYsybAJZHdrk+KRnC7R9nxRDBlfF7p5jse6DJQ+A9RAQV8X4kQmX8HSBnC5I56OBIgxkHdmOBooNj6QAexlA691doIcMfT9ierdCk+D5+9aqc1XEZ4pZxkvBdogAenV2A2wDY5LxqVT6bxYiw9RFYVJEU0C6C7WW2NdFHszsZ6qch3mj+GPeYThGbKVRqUNp79MotcVP26f+D99s/CuPnK94aUrm3qZ1O1Bcanu0sqlBsO0BKYLpI+eOCREAQeB9eoIpZFMDBliPVK/ernPzv/X63YPc0bqYG5KmQ7pGqvpsdy4NCVFtVNVcGKSmBN1P15s0BNZD1v8XGg3P/LqDNk3m7FtBcifmUvtqmtKeZLa/KEUBRIRZkU5ckHnHBeoN0QHUugCnbQwnKq6FRauhZl1w6wPpaqy9E6vTQMe+1uDRKUQQso4nOh/bKyq0UikZkMTMWp4iA2hV5IOrM2s1/MhmSKahq8/KHbXW+QUeOKEGhTTaNp6uOtshVldCMUB19BpFzlSW7VKh8nO0e9QYyRf0QCQKYBlQHj6G1ARwfpeV+8b7RHq7lJ6u1q2tq2vL9CO6zL07SSisx5YoBIGD19MRpUxnYPq4Qi4zZH3BSvDgqP/O3tkp2sZZlWPvCKS/p1/z/rMQINMEDGaFjA1RxaV69NHrOt1JrQGUtM83ej8mIgdlStgO5sQmHhie9csDazRdRKKv+YizNb7PPOTDWhDOW0Ph162rA8Y1gutOYoptbWk3Pk5piwIMXe2zq11Gquo6nU+neE2L36SNpSWvrpBX3/+WGKuOvSqRLUPPeQ01CK/z2ycTfBv0SLrPtaNp2hAxqPXHLVrXdU837+/NBRnqWqg119lQ7D7YfomAmlI50OxgR7OuQY0l7sR66KYLaWtxZjAk4wi4IG4MkKHZW1nJidP9VPcJ1yEd+KBAPNvPUkC53Tc0LEgLdPpSFl8TL/dxjLQTniTpf5ezKW9nIBMZ93ZRPHvEHL7OK4AYTYwZ90qVUlidMF87PTJj7+Pai/0EQ3HCkmsCV3djuy8x9K1PsDhqaaUkwQI6r8FztLaOpUhVbK5OQwookuqaq9RWSw5ipfq1GqAosweyxVD3zi71iRRPiOXt2n6oO8AZupoqvrN3fL+aBoOon6d+n7TL4uhuT61Xbe2FQksA1D0LcH8OqdUjLxvPBEtmyGKBAgCsVl/qcw8AEikUVyheEqcWdAGoOgT9tb2aEEqyvRha0nxiD0YmqwMqXRhoOiMrz8+wdaJrLiZnQZu35gMAWWNLClnwJ6qc85s9qvhg4VzVtmQ2BuKdBQCjXWsN+OKFQUSx2rpgIlIaAAwAMhC/ZeZnfNCaCNgmO/NOekUnHJ43TN+5JoQlXgog1rdaOsVnDyJ71DbOBdMHIpzb3pxZb//j+6sAkhnI8cwJ2HYR245qyWUICBvFqChIxe/rRevKfqjJNSYWBAqzqUMTv6NvhhoQp3Nm14VcKhgRH60jiNVLM3nAefaWRz532QLZsBRE6xqCopBFESI3RbCAWIeA5esjA/2nhQGFJ7HGgGW/51AuTPbrkJCH0MZUQaYZGOAOhqxvuwjvIxtWYLwH4iKY7sncUu/1DuDyJmC/CJXRAeSR874UJmzDgX8vt6SgrreC+z8YaoBDhV9BWQCdwZI9ZbBbInu+Lm/YM9VbCg4PUssB1xsmQvLEFmXrDdfmdhQTKDJEcATWW0CDUsx1BjQB939Anz09o9KJmYQE9JSAVLD93oqyRuTDgHgSlMlENbMFZxt9nDUQCRyfCrtr2L2s+1AF1dz/WEdgSYKHn0zGhjjQpfoI7N8V0pdXqQkRRzXnL9hnd7vhPpON7IrDX0WkU8T4SOTUa6OlAE8/jDh9eYfhREST4l9iCtKcxzLAaq8FH/8wMWkkXCPpopjerdiOCU8/GtkOKLOFTzoTqR9RcPNzrqvHHyfc/37qShPs3PS85Qq2JxrMT5x5H2w5hFrP7fRv1wTwPrlx5u+WO6Nub7R5472pwJ/c9+XnQ4DTVxGiEXnkeKUTMH0XURIVpPOeCszrQTCcgOMvFXn+1K5/7vrdg9xItb56GI4DtM+I+lWRl+bkajAkJC/QLUNSalSllcGZi0YBqIdibT+Tc6vJdXqbO1KeHd5ypfbWoK0UGiWzzjEIhlOhnPWBiyvO3FBAM/bee3E4FYwfO3EgR3c0MNBbVlKNxwiX+afxNWRyNQcnk65blQCXiPLqgPV2aNnSQuqARLUm7PRqysCM6PBoPUlzO1zLyMM7nhcGdzWAbI7YVU/VGCEwx2kz5ByATGOVnP9kLp1ma1etmfUgOwT2tfSgpaPQcC7MuSruPHVIXGHSg4qc7ghxrq7upw9sgBo8yMZ+q6xltZ3rdU44ogyh1ea5n5SB8ZTZBuDjBXq6QHOjnPJFwVJcaImD2Dl0dvBXxM4d9T5YrUFuQ/oANMRs3aCnE3/mis4p8DM3S45YYuCKmtv9LZmtujSRapL3EXkf6oHCdhcKrKRn58mDXlour73wOhQxFDesBeGyNvEn+x7x58+50nbbmiMkKzMTJzoOzbG2Zyg7mqFw2awFTevF6gJUFDCTmnDRSKeaIlUZpCZInf869i7elCIDuoX7U0upCQOJzcYA5rC+RMz7xJvvBX+PtHnQ1DE1gl4FEpXNYGUZV1e3jmsSxP/u6vhrLWZRiOR2X05p9r3gQYAFW2L1uViAhIKwUvCEUW/fWypCR2sJN6/A+UKb7giltauQ4oFfITVbTCBvSginFeE0k166SwTBL0tjZ8QIkS7oNbvkfYorPbUbe1kNRbV9ABFgi2ZvEmrf1gIARh0PMHq2tGBF6QBAeZiHzAB3enehUz2RjtmUza20YtmakJP1CvZgRIdYW+rUhGrdi5bsSoF0VQHRXZur4OJvZouqAu8ggLX0Yb9CBcqIsGaE5wJZMveeJ25OF47nkBr67eu2pymLAJlt9Rh4WRIi09txZWFsubUCGgdjFijHXwWSyeLIRysxSQFSWilNz7TQIQJ9a6VNEM7Wps5LTHYjynFi4uTB7N9+goZ2ZmNDKwGx5wqGKjMAFsgQkHahCTkrWiuebg+vdwPSKSKei6HS/EynP89vBqz7UJ3AuCrG+w1V4Ei19jbXIaIcxo6ib4JIMZBy7hRvPx+KO9MB+YZtxYj8aksguh1Iyu4CHnD6VBYmYIZzQR4E6yaQStNWorH2uumjVl8GcIeZfkWccxVZAoD4sCD+6jvuq9e3jU1WYkVYEdBo7fvYbkoVYSmYTivt4BcTtj2d/jI1dVcp/H/dGtqbd6GK4OgQgDUYUNAl5sV8wEyF8ewthJYCxLZ38mgB9GY9YkFbwDnbagBXxsie7rbeUlboFJEPbHkUloJw4vOWibzMMgjWY0RYAzSxdGd4oG3TOua8kTwEzG+Y2DqoIuYmVJeHgOWVUYEfOA/rTcJyw8DbFd01BZTAczCttAVlpICP2LoMDwp9Euw+ZoTLhjI3sGF+DZT3UgVLWdtqLBdVK1dALdNad8D5K87R/jemjLsqfIt4e6VtJ9AbYH6t2N5s0BAxfQiQjWVOEGC5ZS/YLQPhaGjeDUWFtot1dsi0w2UEljsK+h1/ARy+Lbj/g4jnn26Ip4DDr8i8dB2VsADhHFBeZ/ztH36LAsGfxa+wPQ0IZ352vAjGR+6bbc9n3H+j2H23cn8fpf5OlNTesALbAGwHwXoLPP90gxw2/PSH7/Cj4z3+n//NH+HunxZAgfHRx4TMhefvB1y+JApdDkxaOcp8+7OCuz97Rj4OuLwdKFQL2pbnHyq224L9ryLiQsQ17+iXafI+zkCZFPmgWG8ByRSPS09sEzW8P6GMNzj9gMmK258ppvtcE1jprNi9Y4D96/9VxPL1Zr1nFbgfsP9ltK4ZPBPXgS0H07MYAAhc3rI+mK3GxFSoYUkAS1A8MkFRJiYt/BnDJrj7i4Lpw2assmYPam/lwdDwE33QeBHkneD5RlH2GctOgDdA+FnCzS9XlNML//y3XL97kJszEJyYLZ3j4imInsrV/ayv5o+B9LYgtdbokyDZrh5NqSJOrq7sn/3yssNUx9SCzSoawYxKT1WsQhWWTYOJELiwA18EZhbtQJfZRKU82Df0BEBzPAroLK251UmNQ3OqLTiKc6k0wArGFGsdYQ4YlWeteTwsw+6F2D60fqj6+Lx0on3sRa5QSPGAsq877Z18R+leOP49+nJFHS2AiF69vq8r5pgr4L0QY4Qe9zUAVJEWFNfvKmwhBFzTgqUFGYA5gSEA02h9V1kbqJaF8iDA+yqimNP0UgBLfQ10QS3wiRiWJbhaEqNHwJ3iZ8G52uuvAqqrZIJ9dilAMQRE7d+i7edoAU0dTwsQJVlN0QYTMaCEPeuPpdYhVSTXDlcXuHDxHSZSDG2wtXJVm+qK3KoUsLmiT3bJkFwYqJn6cB2PYPT8FFCmhDxFhNzaAZXJ+rOuBYC1n+qps1ZHbZ5QN44t8K9iOyEYUtRBEN24k7nRzUMNyLt98vKSFrgAIKNFtVHf+5jZWAlXNu7qdV1Q0lNi187B/2Q/vKCH9yizl0nYFVZH7fQq8QWAyaCQG2o+DtyHBQC6xJZ4cBGaEvNWELB1Cr+ArN1ne30/cqupFiFKnK5tTV1bnhD1uma30/09FzBoFlPBpUmEi3GwJomIEkU+zFGy9Q5YklJ8TLpbKc2W1LKOZeNz2fi6cm69l5oEBPsSd+tcgiBHOuFIgqKx1eJ2QUzYtNL84mxsndyCasjUko19sqBYgOlj6Inlbq3UZ/HaWk8sFlzbH6uj1yHV+u+r9ex0eheNER6QEsDAwpMnzjTqrxCAoZtPVdLBLfirtmMrzX6/TNba2ubfqEk8wIJbH7/VkGNnwQB13h2druJHhuiFWTGg1H3ilE9khXv8avXH6si5vZeDgUbRdL/D15g2Vhsiz5xiFOUe3a9jan5JXBQlNVXfkoQUS+sBWiIgsSXjeyqhB8lkspEu6ihKGaSOFaIAu4nj0jGBfF/F4vuM60Y2RQSDPfpW1hM7dRoXdv9+7ogCJYYm7mYoGs8ZrnsXbpSttGC3+hD9edKpKgP1c4qtAVdU9jXhwlHobInuJ9o1r/W3xElJgrLn3G37WCnycWGQ475XGSMkC/IuIu8i4lLYQ1tYPwvAGFCsxcQUK1MKQKVCe4umKnzVuwIpoAQYmsz79oDTBcq8baF2bv10zzlfXk+G4vK1HixuOzTK7RkQEyGqTK6Z/da97vslNT5dBPoQkU6G2pXGnJAjXxhWwfDsyRUBkmJ4JIW4DAxwpaB9hm1T2YBwCURiE4Ad8PRDBuXzG0XZFWAL+NNffcUxeBogi4mrWQCtAVfnwXInOOURy1Gw3Fqi4Mw1k42qDDXF4yBIjxE5C37+7Ru8ez4gngXLLRkezmCQbO6YBaIsPVEgAeubgvUOGB8jxsd9LS8o0eqoA587rBFhMb/MBcgL6I+K1nGRTTA82zlmMd56CJi/f4P5deLPwXmFRgynguHZxNo6qj6yADlChYg0hDZk2wOAjXdnO9hOz8rbVhNEy4CXlIUN5p/Z2tIu/rHEcknAdowVaClms7hnzRxbdwNNDPQ1AtO39F+2oyLv1BgCETn9zcLX3z3InVdmXKeBDsGyMphw0aTnCxGBIVlbFqMLqnYHLelKkgvk6Uwj1NViuYNWAyf/Xeau0mkAXCDFW5YYSuwogMpAiotl64vRUVw8oBiN00WnEBrCFXpHDTZBkS164uPM4HZZK+VETXhIDN1ji53CwvXTShrtugLTiPz2DkihOoayZqT7GeUwYHmVKh2iNS1vAbiqIO8jSlYA0YxXIcUGaONn7T5q7VFurV3q+FogrCGwFq8P1t159s8UQTlMDZ0NgnDZIJYRpax/rIiPAKyP6uZQls3qqKNR3AvCwzOgivLFHfLxyMyxUXzycaz0bQCIzwvRAHfyggDTjijRugHZspnTCISA/OaIMiZsR4pMydYCGUdSIMwwpVOy3lydt5ut8EICA02nh3ogPs+oCqIxdj3AQJZBT7NWhfbJIB9bR3cr2uvJIbZdaf10c6V5Y9vaPPVzBBAVARDNqc4IKHtSlubXgrwHXClQLaMaNvtj6G1cCmS1/squ/uj706mHhupe9eW056zUd7+WlZTImwPpicGcQQD5kFCSCQ9Ylt4dAKf3eOsuLIVOp6oluGIT4VG9FsADgMtMdN+py7D+sHV+O7THxxbNQavP9FJwDKhtMlBQRZ90l1B8vaqiChZFQRl4ioXT3JJdfQAHVGdXh1RbssiDjWUNPG3t19ZHAhx2VcCN9yu1ZYmaf+gtceLZguZuHPT5BJQIGQfasd3e7sccfFuDLkqhEcDINhHheYY8rV25itVSBmEybyCSLueFrITLBTIM0LsDyi6h9o8c0BI/PtxO1/d11aHdVX0/CFU1wed0OljYrCfjLRAvzFb7z51aWIOMXFhfavN9hayZmJ08nlg/f9xzby8FMltg6Wi0CWxpSCxDUAbCGgTldsDmwYnZ9miOIR0tYemEUbTjaWnBM1AFjMJpRbx/Ru2xC5AJsm0UsHvJSPCEk5UR6EDUCgKqifrezgwsvXRIx9Ton5646RJ2UrKdIYKqWRsY7HDPbi2BaWtSd+NVsIF1Q3g8c624SN2WqU8xjSh3FCCs5Qs2zsXa/xSzcQ3BVMRzQbpkxIeFbfLWSx2KOGeIWn/WFCr1NcyZ9YX3tB9h3li7GaUi+DklOvvmCWo0sZ/SHF6uTc5lPg7VZ0AQyEVJKx0iSuTeLIMnOQQhNdS32g9VpOeMOJs41GSCmW/kqj6wXmLOo6Ixxaw2Lp0V0wfane0QUfYCOdGeljECX9wCIWA7ksGxHSLyKEiXUKnAxejdw9OG8LCR5jsyyJtfR+SB9X0lwRxfOt6XL2mHxgdSSdlvnchlOvO88T0X5g3QiO0mYL2h6NL40VSu1fdwQXxeaiLc7V7YhGJSdp+cF0GwJJBjLGWM0DeHZjMAE9Miw61Y/fVyS1s33RcMDxl5F7AeA0IWSEmQrJjfDlgPgt1HYHig4Njw4cykyenCsy/eQm9GSFGM953oJkBBx8u1rwnA0EZDugNthKOqEEM1N6v9PI7IHV351b9dkb8a8fiTsbZJjItieuCactQ7PSvGJyYD1xueZbuPiuE5Y34VidwmzilAOyoFmN4B44fQAqGNnyOZNbbrLe3t8Velih4WFRx+pbj9xYrn7w94/D3O6f6ef6cLg7I4K8aPhjRPRIXLH57xxesnYB6By4Dt3Q53/x+KRF3ekqocL9ZJQOjTlwjWxkbg+cfA84+tfGUgo2n/a6Ng27iOD4rDNxvWJ+qr5ClCf3FAxgG7DDx/3xhxycbggyJeDH299awpgEHxvR98wJvdGX88/hh5Skhnfn5JqO2Mdt9xPta94PJWavAcNgtFVKAW5KYTEdG4KOZXAdtOcP4y4PS9yc52AAtbNF2+BPbfBI5noObMthP2MD6F2vPY1Z51ALZX1hHEglfvTR0zMDx7eRVq0B28hMPGOz1TkFeDtvIgs0frQbDcSPUxHaEGuPedvhwysCXB/Jptsr74HzLGhw3v/2jC6Yd839MPIvL8HyrIBdoBC5gjLFXYSLw/ZO8cvnwP0ByXjo7nDmv9ff/eHsXwNjjmXF3Vj/bvL9o46P4SE6LxzIpadsUL5AHGNOje1yNdn9yb1xq+QDnrM/XIjWegLbvbWkSUq890lMoLuD0LUr8yW5anmPH25/TAJ/CZkNHoj+7weJBhmXmImgy81Oy2GMXq5TP6v51q/ElA8OLfV2rFIUCcopsCW/j493Rojag1V98sgJT2mRpDo8p+DjEzipiL/1S0xA5+IjGoFEfe12eQos9cThutbIL+Ki/WgzuhBfikXZSv+Q59u3pv/Uz7npyvg+/Pfa9/x8s9BVvXsf2heoj93b2m1M+wveIOpq/hYr/45Fm7Z9EX672+Lnx2fEsMplxqoioRkORzbU7bYmvyt03PZ6bjanxKASRd31Ovptpdn6yDl1/a73WjZVdUyynbtq8FAFsadAFCDLXlwsua9yqO9XLccv70PvoA3FRyKyJRURB7qU/HZ1gyABi8mZicxA6JfvH62oZKPHhmcHRVG23vE3Rtxl4GqoZGSu4SAf1VWmBV6aD+zC+SOvzcbo13yJ63yAiLXK3162dyG/riNW6b+6uvO315+Wudpm42iyUSoe49F9+Q7pEdhVMLgBsj5vPzxWTXZ8bhpS3x++xR0M89p7/XBahEWlCrWkWuPhFesqBKgtTgzkX8NFADQRUtWPekjgfPbi/wW+67e6Z6Px3KCdStVwOgetaXYsJ+HZK78QVhKyj9s9jZ4DWwrbXQZxZNgDEn2usqXdvEm9r+sXPmpY+T9ZPlWBHlKJz1jHYWFg62o7K+1onm8uyuvchtOF19t519zd6QcdTsWGVLmAtQKbja3ZuPYReAA22/OWBQDLWSrFYT3/yWev6g96m0mlBPMvnvvC1jVWLu5ru2EottPfGs7T7f1gLvt80fx1I+9RuBynDS62PB1m9DNV/uBU8AomRjAVhS2v0dsef1NlHuAxY0TYH+I23uvf0PbO59z7W5wBUbxO+1GJ200szgPieszpV/0lmRR0MB+2fxcba5dZZEWDpforMl1PJQxEugANHZ64kD4jnUYLh9Sftb3HcFaiJSowkaDcBuv+Dt/oSigm2LWIO2vYU2jtHuzXvthsXW5sTPgf3Ma1vV9iterHOnU7sadRnITvDvQiBooGKf62Nsmy2KIoUC2W9Y7ng2xzPQJ2C9W0sYmuaLhLb+6thYy8fetgGoNbFMEPCHeZRqH/JE9h77iAtkBXssWzuiK9Jaf85J+5kj3F7mI5s9++TUd1TAhCrz7X1laGsIcLuAq73jjUvSRVmWAv+92zibP5e/KNbr+m9w/e5B7osAl7WypcYa+nQC5hneckajZYiBWgNa3+e/UxNkWraK0IqLUwVTrxWx923QywV4txqaN3UoQEMoUUptwh0HUk/yccB6TFiPAfNrU4/bmYNhB7QUQEYan/GRmzc9ZQoJKCrF0pGGhjZTFdERExdB0iEREbDJrW2NvMZxN7JNghKVLYNU1bds1A7WhaCrt2GGcbyn6FW4sCUD62mcxs2DXc7WsqAikYbkDomI80ZFRagycz1E4IJKh3THMiwbsPD5a33albCVH0R2WBsd0TPx2+tdFdEitZb1MGJ1K2HJZADMC0JRhMczKrVxIGqnd3seIuelHrQ10++I6m6oc51HzsfwmC17TsM2PG6k7hyoaKcpUMW7dKdbf5A5ehakqiHLMDQEqqfUqbIGdF2JIloNmoxDXb/YAOx3ROwCaXVq+6Veqlzrhn6Lq4/75e8RAcLYvtscStbyGEW564FWA13l7zRS2l0UiEvg2GSqKRM5dAXcfD3OHd2+1hf7vvZ1LwK4plEMFYErI5H/9TYyYz3aQSJG6XEHwMHvpUA0VOVM76nq6tWSu7VY5y+w/iQlUl89GFdl+6ZsjIPkJQ1WA9zR+rWifba2PQhIjmrzRtVooK6ETgGpFkC4Wip0YC3jVqBr9ww2XtXB9BZSjrr2fVBdHX0aeRBMgzFTgrXGII0OQKMkwpAvETIKOhonP9/qPb3+1RFBEQBmp5aVatq+NgGglBacv7zWrTqummJLMuWC8HSBXtZ6FmiKtJHeki4XYDc2hE8pZFduWAcZls1qswuGxw3bMeL0dayIhwba9bwnwlASgAJru2FjbK3TZGWA4uhbmNGEgJy2fGvIj4nO1ICwoCa9yjRYaxtDl2xOShKsB8uq78UUNKU6fbVXt3J+wthEqoi2Wi30hWdheX3kujH9Awr0pKb8DDRGyM6EDx2VVzKZKlV4y2QBjI5uWjskT16IAEGtlMao264FMYR63gUfVnN4vM5VVhPGQWieh6+JkFpJje9LSxJIKZDTwiRl12qpZz74dd2T05zXrCiPTyhbj+RuSBeeMWE/QW5JWXWBnnIzEtGbImQbrh1B1UqvUxMfiqYnEB5PZC/sJuiUEBeBXjzR3FGjrdaVdfEmDCSm4u0CSIZMVoqoOZG1hju09Z2tRUkYgLI02mdJFBWKk6Gm1lJk20eErBietyq4lKdQuzNICCj7BNkUyWx439fXRTkhgrznWi+jqdOKB7t+1khr4fUiGEuzYrx3BpA932SaDMo9NjwsGD7SNoaTtYR7vbO63Ag5cK/mPan/XJP8SLd5YgKhYWZddT6O2MzfCN7Ro0tAy2bOegZCUYylWNBB4af1GDG/NjT6JIiXgnQyrYNNsdwNiHPEuGTany+OrPe3PVH9MUVNYFOEK6IBHsC2J5svmQ7MdmQnEO9fKzDWlelohK2gdGVg813EdiPYjqY+vBDQmF9RnG33ka2j0ikjPS5YX01YbyhetO5ZO1yspdSWgOU161bv/lyx/3bF/CZhuQkoo2I98Dv2v5mRHi4Iyw3m9wnjQ8buVyfoFJEuO2wTEciH3xuw7dt5sR1BOu7JuzowoMoR2G5JTw6imHNCDAX7aUF+E3D/d4Mhgwx4xwfB9FGRJ1v7G7D7eUFcSXee3yqmd4JXf7khD2zlsx6B8V4xnLg2z19ElJHoLBS4+9mG/a/PuHy1w+nrxDZBJlJ7/h6/q0yFugAqBihF/Ob9HT7u9tjfzMDfn/H87RGSE+KFbZS8tRbbjrKlUxmIzuaRwbrTd8vAezl/FWqykMkhAQoD8cO3tB/jA8+aPAFP348oA9WNpQCHbwx5toA/7wTrDb/n8EsyXM9fC5bXpVKQe2Bk/E6x+5jx8HsJD387IyyC3bcBceGZuk2C3X3B7rsV623Cw+9xDU8fFGlWPP0g4Px9JpyHZ75n/rKgTIrDzyMOv+Lcewu4D383QiVi/qpAX69Ifz7h7i83lNMLtt5vuX73IPcqC6oNaXCK77ZZFrW0DJwHPKu/p7T3vaB1Xv3pFUQ9nrLgt5zYJzfEyFq7IFcZYwAMNB0N2AKwH6zewCg/VnxfkpqgBeD1m8HeFzKNiqyF92DKhwJUdO+TLPq68eDra5tSYBbXewM7wtr3kDSHpyQTCBqpEpdHYDvQkMeZ3oQbYP4pbZxFWk2Uf4cjuS9QVpew995zakio9OjjFfqlNaC//h1Q62cC0NOdxZwrCiJxs4a1QCLnu7b38b/9np1+auhtDcClmBjKC4e7QyN0YL89SqqzhqdIgE6hZYm3AtlZetTXdb+2ay1uaWtQBQiWWnoZ3NozM6iw3p99DYEFDbqu8HYMjuwJcE0jvVr75Xpt2c/UXkMntu0Pzi1aViwaSusf0aEBGsFqV3NQ1ZgU4jTVru62MiOArgeu1D1c15JfXa1oy5IqKeOBmT5mSdtaZ5bUbtMFS9zBc3XlyjFTVFXez6Frvidtfq6ypACohN0hYj3i9dKOoK2xvqWNoNUGE8m15/RMqK8pe16v02dNqXvl3b1bkCkva3erE+RrNVSdAdI3hU7nEGpyQ4plSI3t8WIFXV++3mow3c0ZfE0UqOS2Fv66q2csvETy1w1SE6QZgrGWtnjLMBkSNHXfE8BnjUJbLrRxcS3IJZqqcptjTco/VYvBAiGx56m2J0ON+t73Pe7rub2O9UogywLAiuJ6+zSru3SWgqOzXiLjdC0XknEKmAcIADPxYS0Ibk8K6Zw6WrCpMD28TAp+0TbGL9kUzppRu28/G64QuVCZL4A55Ypu/pjYqSJL6Na7olHu9Tqh4tQ2BI9y0NZVCLBKStR+2DbP1UeQtm9qPetnrisk1i9v0+av2RRYM8+VGCBGfZOqjE0KsUTWUXsPXD4QINCOIaVEb7MlZte1idn5Wgvgcwv3pgfHrs6LOmZo8xCNYWbJGvH9a4ipt8vinHU2fLAAwX7JdWTCOlbzqVFYMr6ynlYHU4AXK41C4XOGVhterw719D3oQde1qnczqUXQysH6uSpM5tP+88WaaCM8MJU11x7TtSzDnzkIvDd2Xy8KC3SrT2S+RK8FQuVim0MLKvs1dFXL6/X7gm7v+tnA1znaTPFPYaLKzsG8i9hurJOHlZNVhpQnnEJpNr1bEyrWU/myVcXvNhf8U2t4O6Sbc99YUb7lSU11LQHF8LBVEbVgQoEqgpK4Xj3XTxVk7t00FwyPC/KeAWuP+McLSw+G4wQNgvFhRXi+AHPENEXEXcT2/QHbodk4zgen1lkHnD/77kGBgUFuLgFBFDEohnHDershb0LV9UwbFGdt1NoMTA8F8ZxxeTNi2dgq6fCLM7abAU8/ZJ1oMCp3HhkcOhpKMa0N8ZuPGKYvEF9HSOH4SOBrt7sMR1tZtkDmynZJKEVwd3vG2+MJfzkPKAPVkeNMqn6e2Js6zQxy8xTQ2mzRTyra0NBth+r7V5skXLNxZnshKZz78xhIER/YvicsgnRSTPcF6zFg2zdbEpS1+nFWXL5o8U9dav66VatCst5uyOcI0dDpHHDM42lF3sXK7AiZ94fAPrgaQIXtCORjQTiuyN/u636SDOgALK/Ykqrcbhj3KyAThocV+h8qyNUtA1ggmyEAhibpZCrJAGQaq/CPG1E+RBdwuUrkxVKEVqeLYuhjTwv17Ph+Yi3vukeYDCLSAmiBBKtbqwGQVISp7AeUITaZ+Jkobb6whkCsAH070LlOJwDK7NdyK4iXiOEdnaGyNycDoCFcMyRvzIbO1qOta8mjY2oORQBrl9UMby7QKdXakvrHqQtqsuUB5NPbYxUTeVhvEuJijokZdjqkubX1sHrE3gmSLUOezwinS62nrrVlvRDGZ+hi1ZFzhwqoTqBn8KvDCJiAhSDvWXfp7Ze4qU2d051ZVYSFog5Iqd6rAghbBi6CKwq4oV9yXrhmtkw0tMAUNs3pH1Kjogvrm8QUTMcHHiYURum2h5ZPIwMJDLC9B6sfUK743TuYXkP5sm7Vr2U1hKXUel2R3ObJn38c4bRg7YWA+uDbxu7lnBHVu5amrxQdc0KkAMOTMRbOfcKFz1ID91JqAqOWCSyr3Uppqq8usOL3pB4YRxTviRkb6liS0Wr2Pj/29Vb/su0E62009czEmizrcfmSbganqgdBr0R81ecUgAwDvAd3pcBaQsw/t69DdOffk0jFEDtMdOj5u+asiGddB2czaHO++gBRBDqNLcAGaOv8965p4HazSzjJwjUrQ0SxuXanLyzmkA4CDJE1uQvrvFEy/9TvGCBxqPNVe3w6e8ZtNXBVT1xrKUOArqbe2yUGqiidlxCEADkSEa0aBjUxFRsS76wAD3hHaitQ9AjswS1oZSfJWC+WDGw0S1QRrLzjPXsP6JqEKzy7vFeneqmBlXHUNWUX+9Tys1yQqBxae6GwFks0MCBMl4wSieBCpdY9ueiHwvztIMi25mIE6wsRoCZEGHK77+rAr034sLaz6ROm1Q6AvXV9/5tDi2ngH3+5orIK6vhB6uc38cNQ13Ctnx9CCwpVIaHtnzJEBhvGvqiqy2upopN+9lyJ/BWQMdXvFU8mBXTUbmCzDgThycSiAhBev0LMO+C9P3ehbdhPgDMLuuuloBEUVWSyBvGrVpS/9vR1NNrWq04j8t1UPwNARfZlZvCmUVBuporYQ4E8EVl1hx3qNbVMBK4HF3Xi544PAn0S5B1RpRBA4bdCxzWd2S4oXrz3M+8l75NROEML4EaKAspWDCWinSpTxLazHq+X3NDtQlu47fmh43MximyoAZbXH+aJwafOwuNwJ1juEnu1PtNGlJGfkza1VmoB2ys6vxS8YnCbnlk/zXaFBbvHpZ5R7G3Nc0qHiO0w0KleyWLoVdSzdVto+5prK+/IuugFvNiHlS8ejNkX58LPnbletkPENhp6djtVhkVtOWlJdfbZLTW54GUfOgSsh4GJPEPGyxAgK32m9Yav9cQvwIDde9aXjl+9HgXjk2K8pz3MewaBYeU6O7+NmF9FhG1i39sgVM/dFHkHrDsyHPNEGzB+CAgrcHkdkccjAN5HXAp2H3jOnX58AH58wGp1xOtNwG7imX15wx6zcVEcfqNY7oQBlTDIBIDTDwTPP6LScJiBsADxMTCQ/RI4DAv+8v0bnN4dEB8jbn/J9TK/ITLp9Z41xy6saWZPdGD3HhifOIdhzrj9RUYeqYMQZ22lJEmwPNk5EwT57R3O35vw/INQFcoBYPog2H2bcPpRQfrhCeslAe9Glsa8T4Ak3BeBiCI/DhgfgHjmPiiD4Pl7AfNbYHgSTO+l2p90Nrtj8yWZ9s1BizIAOhGFXW8L5reC+fWAuFBFejgV1mlPHNvdt1LbQ5aRHWXGR8Xpq4Tz93jurAepQnZcy4rnH3Y06gLMrwO2HffT7i8mxAtw/EVBmrWW5kCAy9d7LLcBec973nYCyQG7d4rhicmAkNXYHgn5QIXn+bXdgyX2xo88uy4hYY2K3Up7477WX3f9e1FXVl2b866l9b2zhvTi6sIeCFQkqLTMnDlQepkZJN8eGcA+nkhHFiHdsyIyAWUXaYznDEmRAdDzmfcQO7qWXRpJLc67RLVWF/2YlY79gJo1zSMpQOncJni544F6+NYohjFWwQk1pFpKYTZXuwy5ZeWcxug9JuFiFgLLWhZrPSBG8UXr7yjggs8K2aTRpSw4yZNgPRJJki0hZPY0rRQjE8aqCKInISwY1JWtVWQ3odzuUMZUG9pzdQuqAmUA77uiIrBAJ9o40+nPu8SWR55pFKn1G3kytVM7pIimWv2vbWTJijAkqOQaAJKatzUnTsTqEEM18nJSitroxDoY0OHUIChTQOnk27nheY/D84Z4dqGR0EWCdr2sP7UgqiJ/gchb3/LFr1pztm3tPRW9I/2Tomkdyq7BEhOpOpPqrbK0kBLTra/2eV1wbfPV0zadrszF06hdGgFsqIp8ce6dvJbsqC07+ue03pfMTHfBIkCE0+/RkxJjojMlqJn4ikTYoeqqfLXOMpgARTalzwvHMYh8kn/wZ/fEmvocdKUR1R45NblDGGtQVue+NFGpwZxwox9qDLWtQ97xucNmmXVIPaigdJDilq9qV/s6U51SDZqaUE+oCaXWgkiu6up0MfTIU+NBqmqqr/3twIOevQO7GutuXcuQQFqFze+cSY93FNP2dm3T5AFrAYrZ16se2r4mHRVOth6CAN6P1xELgAe5qfiKiea5iKBsmSJEPkb27PwM3pc7J2XgUFTnNfCzRbm+nDbpjpUmQS0MugpyUWskxeaoRxnVkmhSeB7kXQKiIJ5MZbrriRvWAgleV0WamatO9u2mSVkW0u/A5wkK5CFwrW+l1XKbIy9dO70rtk13z46a1h6uRSFwVIs2NHgv3i5pVBM8uTDQFWlCZh7QL4YIJrGyECAtFnTXRIN9DjwBplBXc/UkRgjArlvvXvbwAmmrasouNmUBC5FMntMDYIyrALm9oV2qQS6qcrm6XegSjzVJLBZEubpyKWY7LEhdOqp/KdwbaAKbuh+R9zzj41osIBSjwmeeuYmJOPoSyiBs4BkZNkV8pr1Yj8nqE9kWq2qIABieAMlsxbHdFBRIBbrTib1B46WwBMpQagr6hOpb+NrQiWsjdLRXAGZDIm1K1iomyffB7hcYHkjRnV/zXPXayDJorZF0Jeg8MRATtfEQUMk4CuKJdirvBxOMpAAVRDDeb0jPWz2PwlYQv3ugL3Ow0h/zGcphQn47EdXcQk0sVXaTB7mVycBnyiOFvWr3gQLEM5Bm/nt8KqQJLwxcw+LlFhPWW/bb3Q4RXovt4ybGiJKc27ruNDBK4nO63XCKehgYNG57qUkcKd1zRFtbpW2UPAmGD4rp44bzFwnrraGb3sv0FcWkpPCcSmdg/y3nnUgfkPcMduJFMN5znS13guVO2Pv0kVTt6bsz8i7hwx/tsd5KDca2XYDGgbTUV9QkuPlVxvR+g8YBl7cGhhmZ6vJ1QbndMPxmwPGXAswUPaKbKdjFFZfziPGbhOm94M2/2aAR+PB3EtY7rZ9TGWlCCq2GwL6/q2J4Lma3Mg6/vNT4o0fJNQWkU4Kz3dY3O1zeBFy+osp52StkFbz614L9u4LLVwE/ePOAbx+PmL8bDSCjLTxPA067EeEUMTyStgvlPpjfAvNPFqwfEyABYTH1c6tHhsBQUtojr2/3RO56V1C+XFAArN8LwCUgnSKGkwXrkyI+8R7D5mtMMDxlDB9nrMeDneuKvDebapFh3rFPrayC6QPPz+UO0NfWr/bniuGsOPx6RVgy8o7li9sh4PImYjsYG8+C3LABuw8Z0/sFZQgsEZzIItn2fKb1ps2BZGB8oD3eDoJlFxGy2/5/z0HuPM+Y59aX6OHhwVaCwjOuRLUGq4FVeFuHq1YjW0d5fKFoyhYL4crZRAxU4FSlaiRAehsAl9+XWicIosYA78ERAHfOp1iRqDBn5AODMKd05AHXB6lfhYOczpYJL8q6WXc6K9XNjORLQZT6LNIcD5Oj71VQFe6o0cCFRasjVujvXBX4A834XlFY7HXq1MU5M3HQ04q9HUQMkBIgMAXgcSA9yI2vO3VV7RqotLEr0Q+pgU2rVWzfqcaRvJa/N0S6FG68lxlVV2k2R0e8rUGkUnR1igzB9aQKphF4fcckhCmRbsdEUSOn7tj9S2E2VrJnQxWCBXE5Yev65GoucDXm1nJJKyIAb1HTO/YvUDoADaGy34sIVMxpEuE4eUDoz9N/Rr/XAFLwNAOSTFG17Z1K1XYVXOFa8n9rdCcO9aAs5iSSMqMm9ITGqrAEztWzFKvZc5ZAjKy79ID/BUoCALC2K5oaUlll8vOna7q2J8gwOrv9vk8mvUSvPDDyIMrbZXn/2kpdJrWs/rsL+iqq2LXMklJsr6IlV66E1wxNgqFuRjOUjG7fWCAXrc3TS8p/FeqRWn7QK+wCaAwKT/RY+yUPuKuwg1l5RyDCqtB1xbZdAF2w6QvaT4/a1gloQWUTc7Lx89rJ3BI8+iLBKFesCLXklidJXuwXSxZW1NrRGQvUWP/vgZzWBKGM7b7Dyo9lk3qjaHvCxNZ8pTNuhq70tc5ZW9LSkzieVPNgzeZDDX3Uuh9Q0WWnkXFMHAH1QUENVLIF5GlBbcMQViCuDfVP51x7E1eWwdKpl/d2uk902e/o9APQpkJbf63o6s9bAK0CoCahjKEzdOur2icGSyU1+mjuxgewtTgEiJaqPi051oQRXGeg/2PjWRW0r5cVA7axuxcx++BsbCkoWBDLjK20da5ThIKoq9tJ2Uqjxe6tLdbK/tLVxniyNwgkBRSwM4B4sDuNNFtd6VE8b80ps+4ITuvWaTRND7Mfippj8mfYjC1Whmaf4gxgFGzmzG972kdN9Bma+imMem02xwV2wL0g1YbaXspa7YoYQ8YTW4AhSp786NhmABozQumsVOXWK9Xn/ny0ezCnNe+7pGdEVWzu+8/W4GTTWueevW/sF7e15RBCO1eytZ+TAsRLQVhK7dVZE+8Az+H+Vv08ElQKKAJq7Wkyn2y9TYZus5dw7ijFtPV8oX+HJzjCab3ek92zxlWv0Mhtz8ChIss1cWS+XlmxrQvivCAvrfZ8vQHOQbDtBuTBEpzabHjYAJzRbI37BzbG6SJGm5VqP2vQpWQ7bvuAdAnYDseqoRFmjpUKMJxQ+6NuB0EWwXwXsO7pqx9/qc3/GBh4lym0Mh/YWp4F6xZx2kakIWN9XQAJePwx1f018jVxsf7IsbEdN+sq4UtwPQakO+pYLHescXZB2XSmtgPvl4nhQUHEfiaymEfBKgVs/yXY9kS4f/nuFdb7CYfv6MtevirIhwLsMvIWuScsTth29IPTCSi/HjA8MmkQFmB81pooF1VcXkecvxTbg219xpW9eLd1qmNIISu+ZnxgvTbPN/ej+LnLbcRye2AyytbStgdkJOIdvmPbnvV1hti6rWvGztH1RoxuPdZSCK5XwXpsdHRvTQkb+zxN8HZTJQGXt+zLW7unXATDk63Li83Ls6AkjuH8NiFfRvxNrr9xkPuf/+f/Of7JP/knv/0FQYBhaKJSqsz0u8Pk9VbrBn16piM/DkRngzBj3/f7s89gJj9A5gXldGbmcxiu0Zicm3DVcc+fu8PidXohUCAhBYpGLRvy7ojlthVoV4Vlc/oB1ACXjZK1Gr587Ch9hc6GizJgSHR4Ku24ZX5lzY2qiS5QTAEIaj1CuUHSOaMspMw4hVoN2a1OWu4MsBs8M5Ts38b6Yo5raPWT/rMhcV1O5sgXhZxm2tGbPVHOFK4Cm9o+pK8jEkNygBoMl4E0ar80ChZrCu7vS9roP9loZmIBQd5HSB4rbUwB5LsJZYo8JM4bkfmJHxg21rdsdzto3Lf7SAGXN4kNuM1oMJsNSKb4AtsnBPzln/8z/OxP/+mn63tda40sg5MX9bIVdYs1yYOXSrF90No5ppXyLHIVxFxRoOvPjNa5Y3sPPJ04Zylx7QOt/+hA+fsytNYawfy8vDfnwxwNZwRo4iFeoli/u2zCXSNbCZ1n1rF5+YEFkkwijahoZAjAvLIlmNM+OxVYyRlyVtsLRvlflXmjEa1ZeuD9hc3XOmrrl1rT5mO25TZPhoYiFyYPTLhIe2aFzaHE2Dnr3F+1LnAaUcaEKtYDMABCQYkUSPG+d46Yl8g9WxIwnLUGLKGjc9bLnfKNiYJ4opNNIS9D7VwEpbaQ6pIM1vZLJ7aEWW8SytShdlaPR3Ecfk+cM/78Z/8F/u0v/8tPlrmv02onPPno7IlSUFWfQxOtA8AESClNXM/PABGU3cDnOS+1vVOrf2zjUe2h1yF7r2lvaRTA1iIe8Krye7cMmRJUKBKUnknvmncmeFMTJG2eayDQoTD1d2tu92jPISZ8SAp5aOjpOBD96hJYnmCEBTQQIDtLRywgEe63PAL5QJs3fhTSSmetTifvryB9PEPOM3Q/cU2uubXKMltRtQqsRpQLzp7J0HsK90VUBX6fV1jSJpFSHBabu30yGrgldgKdvJogA9iWwqmp5lxqEjjFsyr/iwUAvU6F1y8P06fBuc0Bz00AiFfBdRnpYPqZLdmUXC3Y+vNf/lf4y3/7f/9kieddQpABkgvP3H1EPGfE909AzgiHEToG1hc+zyBzzMqdLCjNVgoV5wy5UPhyu9tBx2B9UZmQSO+eoUPC+tWB/b/XYrWbAfluqjT7mngosJo7itAsdxHe35YaEiwpwQHQt1Lbo7h/4IFjXGjv8wDgYElL8xeGZ6t33SyZY/WvLipG9heD1mJCZDCfBEBldK03PF/SuWB6v/L9xoYLGx3UkgQwuiuDFoWoNP/F+v7ObyzINbZf2AUAbHGFwPNoeM/StbwfUMaIbR+x3AaIRgabxfpKe39dT8ZE7vXhfkZ4vKDc7rDdjOb7xcYkEgZ7YVWrIaTjPZzoY53fCtY7KuSK8khYbniOjI8F6Rz5XX6uRtQ9T/vGtTo8BwzvnrkPspXVWVAPUGiKSTo+w+VNwHLX9pz3PRZ7tl/+8f8Dv/oX/7dP1vn8ZUG2tTN9FOx/w7HOO85hPCsGZ289FZRJcHnF9ZYuAM6e4OGZvBhCmxYmb0/fF8xvua4Y5LMlzvDcAtf9uw37f/seetxhfn2HkoDnHwi2G8WrPwG++uffASLYXu+xHRKWuwmaIkvzbD0Pz7Tfp/OAx2XCzeGC5Ucb5i8GfHg7IcwB07em5PysGB9p9JZb1oQur6UGgJJpc8swII+C5x8K8qQIKwWs9t8E3P2M7ZUur2nzPLk+PWaEnwWsR8FzCCiRtO5LYN/f7c8OuLkXvP6zjOUYsP6DE/4XP/45/s27r/Dx4xFpa+Wayx3jjt07xe3P2D4rnQuTC48rwpoptLas2P7n38PpR3ZGfGCP6TBTbGp6z6SXRutzq9aSR4DjrxaMH2fk/YDLV6NRtjmfjz+OOH/t616BACxvCDgd/yrg+JuCx98LWH+QoYMlA618M86K5VYwvzF698RnGh4DwkzkfztSiG14am2DpCjOXwQsd2Sf3PwyI0+C00827L8+4fywgzxFhCVi/21BXNCSaiEgnbiRHn8ckef4crl/9vobB7n/+B//Y/yjf/SP6v8/PDzgJz/5CWAiT59cXVa+Zp23jlIFoIqt9GiVKo38xvreq2AgOa3wM98XXnxG+5JrJEbMAcmxZTX7l5frP+0X7ihpE7Ty71JURLchpF4j9Fvut97ri2cwlMN/J8oNVjOi0n5WpcSBWqRfD66uJre/xAS+tIes3XGLkei7ozEVYZfqwPnhJrlAtDnTfl8V5ZVWM1Uf1f9pY+nOX/E2MR4DdXPigiYSfIz9fWJoOCqt6up5X4qSCKqj0DLYNm6+5orip3/wn+FvvfpPEH/xDut2wX/53f/+0znrg0939rcNVUBKfst893PxEg393F4AOiqp2q/lKlgWm7daFwzUOlRYoFSR3X/HMqxfUcflpaPZ0WcdLfYEU32R1MSTJtYQ1SRXjw46dd3+OBpb952tdysBBPq17Xswt3vUYAhtNCj6pT3xv+v9tzEhVSzUYO4KFfP7CzZ44YVdEXt/4GtqrWJApUtdt/mgoqUruLrSKtEbgQvCcL+1e75qU9UjXP5vQ8K0u49P5lsEUAtQi+IPvv+f4g/2/zPg3Xus24z/6un/eD1Olb7pe7NTTe5QLSl61RP6k+tze6ETVfnkdW5b+2fsxri+BkAV/QtMEKq1S6tJyrpuLEDI1y0TmlgP0Um2kyh1PbaxaOueyb1QWUT9fVbnE7a+fS66oKyxYOx/sztQdn+W7a73XNw2+T3bvu/XKdAF1HpNUwbqulWfS5HGmDHbVy9DYlxcytkNtYVDL+7TXVe/82M1vDhD0c1N8Nrrbs79nl+umbrOm2q5qw6rJaavzwzUef7pT/8z/OGb/yXidw/Y8oz/4uf/Oxt3RUCBiz7KRoZXVVVXrbWTMq8M/IcIRUHYhK2U6kN9Zv1baY+4fYntrKzsgf448ODl00+yFzT75+PL56DtoEiQ/eyF3+Lvd3vUs3dE/Hf+jzbmdT9ZgkO0sdU4zra2+zWpACRUtLq27ylAyGJIYlvf9XPUz29cMWnqPt60dn3o16ufGwCT6mzLwgiwBv0+Ti7aNZh6s6AxcMwnER8rtDHS/t+23kLEVTsk//5e3uBzY1NVygHoNFhJBn3RKubma9n2VBmklTRc2Yb254d//3+Nn/7wP8XumzPydsE/+xf/2/bcagGG1fCKAroBKtp8SANHvHSM/7Z7MPaJpjZ33ps3rNJaWHZtYzSiKj5DAZ1Gds1YiRLWJF/kODhYFLJWJJJCk6jrqESgrBGPlwlRFEPMWKMlvQJLH8qGrmTFylYSKktT7F593bFfrdXyOvtjEsyvYhP/E6LAYTUKuSXb0zOMKt/WOW14O3vXOeE3p1s8nyfoOQIFVVE6LtpaOK1Wq26CcGVn5ZSXDcH1O7ZQfSNnadR2pqpkAfZ7DkDeRSxvd7SVtpdqayxL7MDWQT0S/GzyPboFIEtdlyotkRk2IcvWzmdXbK4tTtXPtnbWAVxLDmbkQSCbYFkSJBXoDbCdAraJN5wubd16cud/zPU3DnKnacLk4k7dJTd7ZqI2q8ebl3YouZNYlBnox0dAAinFIldCLzUAtlYoMAEqGY3+PCTgyzccoCsHyCy3tfCpmW3//mlAOe4sE8nJXG8G6GvWaKSLGnVW2GJEjJZhBk2KGUI7yOoB4kEX3NCSnqSDiUt1B7XMub6uira4+JZZRT+8JSvSyTKiU8vqhVVwiQHrkYt8/GibIvihTgGE9Jwx3F9arUcB040p1pY8KIVIpAiRdzP6mgK08DAHAJ3YxkDEamWB1jLh4QK5LNDdyOcF4AhU2ScAoSK5TgsELHhxY1t4MM+vYkXLQ1YEE3MAUDObAYCUgnhaEBYeDHmXEM8r4i/fszb85kAECUDu1P5E1ChswiztRlXfOFut3MwsWjxvzMDPAtkdga3LFA1D3V3sJRi4fj3xcrmwrjYleHuhSr13QZi+VYt/zjS217yoT/fWOPWKka/v17+LJnXK3fm4I9IwNapyrVFxB6c0Y8/1iGpAk6n+sZ0TM+jheW50zSHRURgSnYLMWrSKygxcNwAdMEeVAUAuGwTGZpisXnorzA+tzAqmC7pDnv8OmfdMoQ+rb3T0YYgMOqxPLHtzd3WhnmArSmG1cUBPxS97Q9HX3Ch6nsgwWmqtEbUEljuB7EHpjohY7Y9U56xEAQbQkO+4T8dHWE0/P0dEK8W17Hjgh/NGtHu9puVzHZBx4RRlDa3EwfsaelDCg8qSCJa8CFuBrIKgCapDow0D0GWDljPX7jhwrCyxokGb0rNqE1jrKcrR7tGFu5zKrMoavkq91ha0ehLSndtEVBo9ct3viwLoQGYORLiOFFclCWUQaILVH7dMMmD2Uum4SCFSEm4i0nPG+M70EuYFkkujqw8JZT9WRE+DcI6MmaOefFWFwMTIPAiIdgYqoKqmls9zZniyOsVNmjNq9jKYrYpzhmxKUStnFZTCwMmFC2F7es2QZWOpxtQxa6TdU19fKnOmg+TJMGtdVIaAYmI9xdoYeakH96MFzqGtNxf66hNSzrRwWwJwT+RX+8bcKmiBeOhshanhepu6MiUsd4PV/Ur9zjzQrqcLHWoPftOHFem5QLaIkPZXZ3J6/4xYLkApCENCGoiAb18coUF4rtxfEJ7P0IdHCv6JsW7uT1wbQ6rJO3ZOED7T0s53nQbkG1er5veHS0Z8nlE1PfraMg9wCm2Q0ycBVMbWckuRJ42soSwrACWi6wmhPkAIuaO/euIlAApvo6cIgTXinuDUJFgOE2rdcxIMz6zh4153e5OQByAODY32/VeD7o2oMhZSDr22NWy83+WOys/TR60+AefffAbTFwFA1s8IjrUq4qVg2iictdwZFXgTxOyfYXtpYVJhebuDftkawVYqtxL9C0up6GlJVv8KBmNSUEUb8wSgT0kon1NDF9yhBcDp7EEhv0OT4PzDY/1+DcD4kDE8LBVcyFPEfOfquLZ2NmMUZqJpHtSHHJEwIU5ylUAc3wcczkRCpZQaaIyPvL/lJrC2cxJc3kS2ofmOY/3444TllmKs623B8CQ4/JJBx/5dZvnENmB8FKPYFpQEnL4KWG+A468K9t+R9vvw915BCjDdZ4wPMCajYD0A3/2DV0gXtiQSNZto7Mr11tatCxE9Jjyd7yB3C+7uztjWhPhICuvyqkDfAEyyRKy3wvrZCFRG2GKCg4YqihqSGYmKDg/Aegd8+5MAWYl+hxW4vGE7prDCVJAVu3/DRTbfxTqGGhXbTvD8PU788V/t8M0f/wjJ3AYdgPu/oxgeBd/7bxeM355x+f4B8+tYn5m0bbYRvfvZiN03A0IGjr/gmTHd055S14Zr0WnVeeT8phMQoXj/9xKef5oxvot4+8el0ripV6HWnYX7XiOwRgBRyejbC9kP3yXu2Zn7Ke9IU08XYP8brYyMkoD7v6vAVzP0w4jpHZH99Ey/bXwqGE4Fy40Ahbb7+QdkiBz/KkJ/ecDp71/wn/xP/hz/+u3XeNDXGB4D7v6C78sjsB65l4Yn+u1/k+t3V1cOAfDsVSmM+N258Z+FUHt8VvGoXmK/y5pXOqEHBLFDg1x0x9vX9CihIw3+u75liSsA+20OTXzoKkNgB8xV9t8zoIKWZYM5vWgc8nrV4N7+V/192oL+etPaglF7r5jATX/wSVZEVUi2nylqn7oytsxMFTbYSlX75D102UNTwG0/mzrEmd6f15bVNg2WyrxCZrdMARynjPu9oksJWf6B/9+CTo672kHMWmgplkGU5uQ5KlbRSBGrlcu1FhIA9Hwm7WdHmou3D6j35A6+O14WS2rniLkwTFi2Fsy9VG/z5+zZBD0iVdtgCYD4KfJUFFUFGTDknMHSFVpna6G+zhMs/vMe7QiWLHJBsSitP6dnqyvC+GJddhlHebnuO8TL57s6pRWxRUOQLPjrVU6ZWIp1DwIW9BarYTQKHPvaOnpGQx7Xfu3099azFFCDJUVgYBYjwYS+xVWPTqJLXFSk1mvVbO84evji6mvaNXav6cfYgsuetVAz/SI1Jyfh2k60+0EN8LHy+diux9a6uAqx3XsNun1t2L12e69+haGEV0glcEXTpaBZhmZTJu8DawiVs3tE19bGJ2h9H5j6z4BrlKZ77jrmRWvJhaBLEn0OEY6tVlRUOzot6hyEzEdymjtrTDkuzEjbYPl69Vsqtl66tlIuXFi8NZuXcXhJytUz2Vttz0kQYOvskrQ1DW2mplexbC3h7Gy0MdENlYqswVv52ButHV9NyNSkR7A2MQKpSuzd2VSkBZrSOf9u890XCg1t7q+KmtnzCNACNlzvh9onNnh9tb+Ih60LWlWkTwBNbANXLLj1wKC2rpF2X047haL1D/Z15rexLAbx5C4pxlKYEgXxeSVF31pYqZVbMZG+Apv1ole1JLwlyopyELSNZRljs73K/ex0eHSaBI6mio0DbAxrD2VX1UZb55ItX5dRa3k9wfaS0XBla7p5ETSqrttYT3SwpaLUZJ70U+Xf5fav7sfuu/xcydd/h63VfzoF3m37VRkUwPPc2T+h80HsTI+L/w5doq9boF1SxtvUuVZCHcfCtRiWzGSEf56Zv2Isi56h431L61nqVH23cb5f1G7CEoxh3lBCwrYPFS3UIEhOs48g60JsiU5yNY+OmIY6lmg90AVXPmacGeCOjwxAS6ItdhBBDpxA72ogmyLY7/wZ815RbjLympqfubLEK10KylNAXEiBzzv6BS76F2cmDZabgLgqJisNC0uiPY4m6JqA6SFU3yPODN5cJLOMlvBYASwBeRex5oiyCYaFY5OPCh1IM2bQae+Pfs5JnSvAEV+z00IQJGwsZVtfZ4RLwPgo0GxJhkR7qSvX3fSRvvRmuj51T6XWmWW8t9K7ie0/1yOQX1srn6cV8bt7xLc7aIzwnrUl8v0A61fHPRdhvBgtfOZclyQQW3M1OCa+VM+/9Vax+/4zLuXYGF6e6OrGggMCi4P8zLA5tLpsX3cu6qiz1e5aCYTb5GnaMIfR0P7ujwEV9dwT1DZ/FM5TnIrgy+kZd7sZT7c8f93+0Lfk+zxp9je5fnd15Y8P0MACYBmGdlp7lt/bdZTCALevZXTU1dSYebCZ1T7s0ChN5kx4XVi1sPFKQVnFqcRKesTQpPAxxNqmJO+CZYJbkLXedsZZYFl2TmyctaI5JTUhDWinqDfQAZKV9Tk6JGbSOwefIgqhOsd+cCAI4pltfrwdBF+AakRVKewwfeS9uTobTjaEF4qnqAhbbJihpYE1xGEagOFV/Wi+kRQKuIgSUJ1OtfYXIWdm/lNAHhM3+mFCzWCnhqwigNLeHoOZIdv214dsXMTogc1YO30z78yhdCcpCHC3a4eHanUqyxARvnwLrwWsVEIf38EUZVfF4BvanFsedkA68/V5iihph3DZEHImTcPfMgyQLFAPZN1aWtIAKUEO+3p/KBm6FrAG7WUAS5RQRK6DR0cPK+3YAkNP/IQWLNSey5s72hGtZ2swhbuIvAtY96bGaRQRjeYcVcEfBpWs4dJGg9mYdXZ0E6CzDGdnWEDoYmBlSvW7q1jIxPVFUR+gTAniiuIe0DgF0fZVyHXh0pih7QMXPeBhSzQqXF7YBVfl7euie+Vka9vQ9iONqIQWrLykEvpr6HSWGow5ipvNwFdKz4B6UEDFSg74odsh2EFuWX2BtdMCwsLWHGVKwJgQT9Jqvq1ustbFm01zYRivgez1nMQd143f5y1PNLrQ2XW0ItNom4N9ReWMpkAbA3Q30SmcrU1QN+61pZDbbZGaMAvnuZsLqeu0Bh5d/2WyYiy4tSBEg/XHTgE6GTq8UK1427Oue70JWI+hOp8hm2mzeciWDIwzIBsVLuPCnn/xUlh/uZCRpJHosu7H2vbN66MxMYGVd4n/NgEcX6e+Z0NWj9s4t2sBVrawcBXiGqzNbb1LUaSLqZurOcoA+xyrGirB8Qmz2R+fx7pP2a4HhsR54oAicnav3mfYkq09oktGUUal4QuVYl2zgjW53sbG1p1eo4XRkdUhQB08e5GrKD1qawmd9Mh15K3oXFtAXY0/tPOi0gQt8SXFx8n2kvcyvvIbAL0swG5siXNbt3liTaWPi94eoK9vyaq4LGSt7Ccgmq13m5LN1vge9XVtwZOIVKqeKIyiGmtScnmVUJKQ5XHW5tABlWYebF63PeszGVS19eU9JzUCshp6uDZ7EDaFLLD62Zn2axerDwJLKm9Gn91MV4BOJlBSRN4dDBnlWGZrcbPtgJISwqYYnjKD++QRsJeXtHmjACVrXdMTMJy53jUA25Go1vCYkRbW1m63owXeXHfxkhHWwlZLFmSwFMmc7Rg+ZRT4Zf5dXApKEQQLgvIuoowB603kmblv9fzpmdTSNTDoC7O0IHMxn+zSxLeImPnegSVnAm3+hYhlOife68KFrFFw+XKHMrqmg7FRzE+ieJ7WPeRMD29N1PpQt022e69ILnS0D7i8MZ/nOdS+sNO9JxHZNnB4WKAxIJ1H5B0QvhOUDwPShb5wiYKPf3tEGajcnc7AciM4f2lJtI2+swZgeUVR0OGkXW2+1IRHOimmB37m/U+HLukBo7PS3tVAFUwipHcD5m8HjLNgfOBv4oV7N508aQAc/4rK3bI1oAMKnL8WnH6ftjOcDQl+rdiOnK/x20gqrp0d44Ma65NsLbGAzZkI8xsGp+nENl7PP+G6m74LSGdUmvTuneLwKzJP5rcT1rsf4OmHiQrT3f5w/2O5Ecj3Jpy+DDj9iPTw9SgtYQtgvWUvWZh/JBarhDVCNmD9s1vs7wUqBXmQGvtAiF5vewbDFe1eGcSuN1LZIpLZMgsAltes3c27pjGRJ47V/jcC/PoWx078ivRlQYkBITP2cts0PHs9Pu/r8K8n/LP/4R9ieaXQH6xYx4LHnw5Ip2j7UTHeC/bfbih+9v011+8c5OaPD4j7GwrfpFT7Y9ZWKNY7FznXQNYdNt2YZhfvZalS6w31wOxG1arZCg+Z7rBSE4xhL1T3LjxAY5DpLRaIHklV1StGISwjD+z1CDi9lwaIG7DWB5qzUrPaMAO6NroxAMiF4iDYjUDaoSmwBmaJO9GZEtkvls+nSGs2x047ZAv2zGzADZg6tNNwTJyEyINlKz2wKMw0R+sPWanUQHNsekEdj8WMv8+aBUGYYe1TzGGCoOySlSqKZe4C1ptUD1yfo5AVm9PLLAtaaz7dQfH6SsuQZhNKCtasvIhAj+ZoOkprBktTQLnb21p7US8dUA/FsCqwaaWyNYEMrcbCe/CJKvDcqaUCQLCgOwOqSjQkA4oVkABJkcJr1orJBrkbVDTUE0CtR3fHv2c2VPTE/rh6saoJrEkVHKqtiQKTJ051Ukvm8LBm/zP1OiKfA8+um2Hjodk7BqiUwXr1KLJ9L4Pa2ILVPvNmaA0V8kxoSvw7bB8nudpXzHjzudwxrEPYKQ56Wx9vXVQDWUdnPenlLIrQ3TcsYIrNUGuM7GXbrd8mesBkFfsbov3MkGuvQRFVKBrK1LM/3FnJI4MCBjSodMCwKVs7FIUaRTSsscUFzjAIXNuIjaXi9VTOWgDseTvkm0mLzQ7nLsDsryFBVkvmOKJbhhoMuMBVEAbfDfHUKi5ISr3R+CPvAesGXRYmQv0c6BOewDUaWSzh52UsKRJtNHTXa/FVAL0dkHcB244tLxw9URsutfEqyRI5q7b1vjKYS08LbXlNWtk5NA0UKZo3UnttPzPJ4GhPqDRet31h7da4oZ8eyI33XNTbccB6YzVlnuCx9R3mYs/X7Y2uZtxLadD1Kr4aQ0uueu2qI8o+3AUUIiqWOAtLhuZmz1Epza5sDZQxkN4XpLa223a0K8zaS7XhHT7Z6KvOqKnMLwU6WrcsRF3lZDSl486E6YJRptH2pIL+gp8FNvathtn63PYK731CZ12BY6AgnSUaa51vauNZDiO22wnxtCKdLhyP4x66S63XaYekt3Kmjh1S7CY3VHtEHQWxRBlVc8sApFmgs9v+ti44jvyYPFnSOABl4JjGszm+3DpMWl46hA+GuCxU6Y4PbJuyhT0wBpo8r0+1c3ObWs9MUiEF697aBJ1KRS8hPLO3CRjOwG5mdmk7WsIArZ6/1lYaGjQ8W4B70dpXOo/0F9KJyZYyhtrqyGm7cQb3q/UTdjqxKKzHJu+zMoK6Y9gTrBS0DCZ8JYaY8qxcjyZGmtBKeVYfcws2jebJ3rlWSrMUez19Ngw8e4onTgCKlIkw6Vg8M8pAYbuN2HaC+RVtC+s29Sph6fIQLGUgFTvkAi956cGE8akgJJ6DeQKWV3yWMpBifPimYHxsImRxzojPCzQFxHmPMAupoav7A6TJnn6g2G4Uh18GpIti2wsuX/I10wcGwypMyEhm0q611Wv7NV2A6WPGchtx+YoBYnoWC7QUOppf6FGfUerHR8H0AVZ6wV/Fi1QbgUDkc3rwkg8mDOdXEetRsLxR/Md/9DM8rhP+7Z9+H/GZSsIaCobHgOm9+cC29gkw5fr+spjfBa6X5U4Rz4I4E4WNX1Hhel32gAXc4cxg+fbnMzQInr8/Yj0ILl8K1jsmTtLJFyn/ynvBHID5DbB8kSEbE8fBQKKwAdtRsb3egCKIzwFShMh3gVHMhUAdjBkwojIUwgJgz88AWE7gfYa3PUw8jgH6cLLE/gjg1YotDJBMtsf6OkOK4NV/H3Hzq1z3UElCkdMAbAcuzHQB4pnJkf27jDIKTt+LWO8UX/xLxZt/+QHv/uFbvP+DDSEWXOaAeA7N1mdg+jAjX5qK+L/r+p2DXAkmCDUOFmyaZ+EIa2290CFsnrH3eq+Rjo9Kbj0WTRW1P5mdktxTwyrN01uqDKmiHLBMpRpC4x+VBxZ/l4Qa8LpgSajOfTuwXNgizFrrLcKSm5oyYIGp3ceQ2AT+MMDVCjWAPVp7WkNs6sPhaCqFp4xYFtacWM2KtHJQ0mwKURlvpuz1XkQvChEO1UrVkmXjQQ7wAW08ATpoqFL6POTyntm3PHVUAaO+VjVGF3kaYqVjRUOleKMMLJ3h6TUVdd46Kho7OZhIhzssHgRvFqAIuuAKNOzLZ/qNGhrh6EVY+YGO6PoVNioAhoxKZQrmZIWL1Ze/pHGmkWu9/sy/O0OLtGDEVDdr4qXSAw3F72OLl8JT9rmfo9j5vqoIWHd4awrIB0ribzcDM447OgtOlan0NaCjjbcDPM52YLu6pCMhVQVXKtrs1E1Noc6/JwnySFTREc6Qg2WOG8045ALY4Y0CCBhshEW6+UYLTH39r109rtPyLai9npPm3NHhj62GdUwoQ+Q4Ge3Y6Y5OCaQD0jnFsDXpa9YCl5oU0BZE1DH1xI1PoW39Xhii/70nCFDaOodIowx7AsTqcPtEyFVyQaQ6t8GYKNVWidFVva5zXaG9WoopNrstV3feV9L4Qy6o6vUvL69B90RnLnTofD4cDXZas181uUPbXdV2VRGwb2eKr3NjjKCgIk5c64Y6mRN9JbCzAWnt1vmqtb672jJPkHnADgBKlpIOEeXA79+OqaLmPm9lsASD1dQWtDOEwaK91oIXfx6v3QOu15q/ttra2l+zq58FrgM3Xyu9mE1F6FrdeFwKwuw9e5kAtuicSRoLFip7pFLxmxP9kvLmVLkqVqJEr3oU0R+z7quO4i+WhEYUJklsrouJ8YS1dKJXRgH18w8m/uJ7d2l7V6cEmV8ywAA57FHuDsjHicydy1IT1aQ8Nx+mqvsfmUz1ZF45DEQMN2pF1OC1D6qcsaCKeF6vEobeOg4gE6tsYrVtHStEGurpVN3llsq0Xgcqnb24WucmbEO17lKDZg3G9hIhemmJdxcaymOoKLL/3BN2rf2c4KVt8/8vptsRFkWCif6MzV5WlC7zudZDgIMiYS0YHzODsNV0Cyygc/8MAmyHyL7BFoRo9/1+OQodkyBsydYA65NR2nheJVjhwSMfqowc1+0gtXd7emYwk55RHe9+T6igUscpoNgldIOg3O4aKNIJkJUhVrR2eL4+rx01rmUQcPtin50/tR+A1asHGKPAa4Op6RI20mGXWxc0UogOCD8kS2/bmYaJJwQN+WVNdaiBUp44n5oofuQ1xHFhcLvuAy5vjNGzkcW1vBZTAhZIToYKw2pmYXohAskRmhTbnr6wC0xtB9KLoV0CpaDaI1EYws51c3lDxoLTk4cHwb/4k59wfAtQdkq0WBTlHK7OcqgDYaGKm2174MMf7eu6Hx+ouJ0utJnPHyagADffCMYH0/2J1nroJtVzoM5pbH/6a7mzNTMq0n2ERsXylg8cn9lTN4+AbAHhLJjeWc96L2P0M2hlwkOj4PKFaftUOwHsfxOsfVPBNiiG+wB57hKjEbi8DbbGFTpHyNaeIT1GuABWHltdPpO6tk46BLmMgjVxH6sQ2Y2zAKK4/OCGWgvvJmxRES/OcgNkY7z29HsH5FmA/+6zy/7q+t3pygAD3OPBhKMyDfuB/CS2nrBa3MQaGF2JfmEaSaG1rGfv+1OIB9eHebBApdb7KjPZLlTSiYI4spn3iQijtsNq25sUeods1b5h5vB7v07P3PkGTxdFMoGiel8wW7TZIbenaMd6S5GMbR+sByvq4cWMppiUO5CHiLAFTPcBk1E7Zc32rIYwZmbIHX1oiJaNWYC1eWErDzkvTSgGIGW8H2PhYZd37kTzgCN1ivcHAcJesN6w7mJ6v9YMNqlBdPpkU0QXh7CgPqKY6AsFXq4OoEEq1ar4xvYAt/Dg9mCDgXeoKIMqM0HxuRMZ6+aCCLQJZM25ZTdTqNnnOHMMq0qpAvG8IjzNqG2neuXgUiD7iY6PC6TlAqxLDWZpuAJZDbkAhal1dWRqSJxLLTZZLWislztjHWrjPZ/psEYLFDww4OvKlLDeDRTguHXRL8vIH1ofRXfC6xLINHJxVqQzs57pzDYzcc5VmKYmrZwqay0c8hTb3Ni17aWKjpFao5hGy6wvhcqAK51tOmbFMoVLQ6IKoFPEdhxqUAlYcmMtLQBXvS6RMLXUT2jKQ0IZE8ouIe/ZS5b98ZpzEja2bWH7lhaYAKjIIIBafhDWAs0C2eKVAyKqiNZfuAxg6xMP2BXV0XWRqIbakDLvwkDiSOXYgtwaBApasi+ASYW+ZmU2ethW+Cw9y8Got9gyyrJC+/6hKUEHU7vccrUferasqdcl7nYMRvrgcIjVoa89Zx1p9BpSSwBKJ7RWbfdobIAuCHRRqXheIWtGGRPWWzJGnMq73ASsh5awZB0ZzGG0Q3gh5TAuwPBcKODynBHXgrB2+9z2YKVe11q+gLKPJnATDRWm48det5zAECngI4kMm3TOkMW9MK7jylyw9dwL85UhNLqaPaMndDxpqZKgA89LL3XwvsQ6DVf9RakGS7u5Ho0qdhEMvscMoQmznWFdDTCVou3ZjW3gOglOfXYn0M9S77cJBWl9ShQhzqUF+AV1T9deqyqWBJS6rquWRlaEnCElYAsRAnNwQcYH94uvd2U9bS7mDwxMXJ8uV4kZvT1i+fKI9S5ieEwY7q11jiqQxZhXg80Rz5DtzaGuDwBY70asN4H0X7PZZWICxJOwZI4F2qyzsXzGwWxIrGJU40PuUFRjdxWO6brnut7s7+WN9a5cBOPHcJWQj7MltaykKazA9HFFPG/YDgOy1YHmmxEajIKeWlLMa1b7TgfeWq74+RuB7AGErYP6J9KHCFkRLxnpTEcWYE1mes62hkysZwTmV6Y6r4BsGdO3W937xXrOBttDYmDH8w9GzHcMiIZTl3yU9jcTvI7ARp5tp4J4UrPNoSbFalCjfP1gCv5lpJ+y3MHQQWD8yGBmeGISc9t7EsJ8GbPTIfMsdXYg1AS93uwaxR5gIl8VsrPSKkPKIdbOL1GYK80FeQxYD+0cYf/Trmb5ysFjgiSDwWpcFeMDn+H4azJW3v/9EeevHLwhPX2zdmY3P2eAFuy9YSUVPU4B40OoTIr1yICViUXFEoGwEWkdHjMuryMe/xAs9XMBKUs4ZCuligsoPOb+iRLlJ6IouHzFwG27UehQsN2xfrXSuAswPArCInU/xDNtdB4Fz98PyHsmJtJZcfiN4ubnA9Ybwf0fZehxg0SFBEU5s8wDHdjF5wtwJHF+LXj621ynt3+SsP+NxQZzQZwjSowIGXjzbzZM7xc8/t4Op+/R3z+/TdXvDBlwbQhJVmdbWvB7+aqg3G1I7wbsfy1YXgmGv/URN7sZ376/w/KcIAsD3OEh4O4vySQ4f0XBsmDAxXBW7L6dkXcJ838UMX+dMXwIGB/Y+uj2rwrmW8HlRxn7t2fM+QbxzP3OhCVw+VLh7crkFCuzIWzAaG2CpBDV33Z8TzoBx1/z3FpveP4sd3yOvAPmN+wL/OaPgf37jPk24v5vjSiD4PgzMkHyDihRkU5MJJQJeP/3AlsI/Z/w116/O5KbIgNWz846bdAddKelOR0TsECYzhYdUzoGrkp7JVjSUTwr7dAcfNksC92J7ngPO2wKBAZh3nOT9Takb+YJzSAGd05RjVWVprdkdt9ImUhxqNSoNhj8uYKBnlOjvV7PAzunbLlj4Igj0RhQcTErx9VRmtBld/ukXUEba6NyOBWZVFI0p/MFKliFIiyT6a00/FD1oDzOggTed95HawzekKHrBdE5Ql3w5pu2/n9WBKN1XiFg2gVhFhi4sAiRMAp+aTLn2GnXql3gx3EgtaJH/TvhKadxaquxdmp7ddBfXr1wka9No4QLwPkCGNSqreUSIKKNmlm0Mhr44hdrCKjoCTMb0tAAb/UUWpBL5VZzCGytM5NmYgfm9JfEPRaZG7ka6zb+LlxmmeHPjYE9q6JzKgzlcRGYbR+QRx5O25HZWaJnABCo5KliYh6ARIG+pMzbWAWnydv6kdwlACrlu9R7u7pEKurtQlGVoTCyFr/2UbTAytdjOnHertpSdUmUq68pWilvpR66vL8r0RWnWfoh5nMNXO1pOoxc5/4cV1PgQb+/VVoA4p8lqm29b13ixJ/Dk3PRo3wf88Il3tPSgUqv997CnzAMejq4f0fp9tHnGAufu7TucP6vfWYZIyR5yYfPGdcdkYRraqWamJFkqYlL77XsTJEqohNMOTsCkgqQpdUI12dECxoHR4zNzhg7o68XDRsQhE5LfEGTh9eO9rbep9pr7tzO27p5KXDYbKSNu9Orvb4ysubXKZ6OItSewdYyB2K05THSn7EEisDO0s42eyBJR6ytb6Bt24qm+P35GLv9DjSTbOOnFfmioBrte6+p4IwVbzdWaeiqdt7RHnldotfe8abIBnvZDg0Ayn6AK+t72QsAxEsXCHuwqWDQa/8fTwyiw5IgOViQH4BgwcoGngtuU5KggEFz6PyXMgRs+/QCfbQ59P8fjDZrpVVVKKcAUE84NP+lZ+q4jb+ivNuaqboZthd8jnpbTueSwUQe2z0yKQ+E/nxXVGEaJqI7gbJuPfh9xNW/lzch5uyLr+2ONSP2vr69Tm9DHUXddh1dFagtSjQAeW7fr9LODtrJbmzq96MGvKwrRw1wap1z758EjlnoEvZe8iVQuDgrmWvSjYsa8m/3U9o8qs+P2wD3W7IJZ3UJKe4z2s7eVuQdkP35lDWQcYGx7sT6hJPq62JP241W9N79Vo1ADIKwKPLEgHE7GLV4afPh409EH1Yv3fkKPsGl2U5NgFqNqyd2vLykJK57Bz1kFdqsWWoiWT2xuDWxOggIMBmbzet74yz4nDAZVKArT1wJiuWO9a/pbONovhQ7f9h5cgrwcsoycpxFrZTGzhsAJmTWrdeAtnftvIhW1+0skHTmfcWzQMdY4wUAOD1P2LaIkgUISmQ1CDQp1iPHIJu0BgZAlKUE2yEh74iMa9CKHJehJdLkHHG+32G4SD0vfe2w3Iq+mAaOZTxJXa9MkFhCbse1BwjK6PRzqUk0CopppV1rBLaJqtzL3bWPEGYggGvVk6RhAfQ/lPCUHI88VFdmhlQVsm2QxQKOFBkIA9UZkrijw3WZIeeOV50Sa2Sc7uzUPHesAj+jTNbCwVt+2GeTyhZr7ZwUNiu/vAooI7C8oiO03TAjEVYxHr+2vk6FG4f8es8eciGmc5OYz9PEWi5vOZIYhOSJWfTtELHcmdCVif045YVZM9TMpyigK4DMLKgjz2JUTG8X4CIDNCY0EnzO5lEEQ1gRBWW343gvG5FXf5WjJ1EsGOdBnCcGuOfvWWuGHTNv4wfB/luvyWGWdvcuID2zTUicHaVh5r0WpHeX040880vai1bEjxvdEwtaM8h5F+B0DkezFRSbydMeYSkYHheoKpu7j6EifWWKmF8zGz/ebwjnzF5jg2WuPUDu1D1rgNvVOPN3hQyEUkjlTAmybShWu4hxYM/aeYHOMxAjRXxSJIMBAIq9VqUFxj1aDFhNOtdSZTl4YBClUeX2CSWGKrrhtOQ8CNZbW+dHII+k9+TR6mpUWo81N8K2vWp7niVXOn6tN9te3OeYINbeybP3lzdOx7HDdVLkQ0GYeY+u9BgWQRoEyRAEnQGJdpBbAFdrFI0dUBNbuVTqbdklJkseThxHTwYA7d/jwKSAoYz5kLDcRWYUjc3hTo2afWH9SmL2+1yMqmXCbkmw7aKNVzG2QKm1Y8tNMEQMRJyUWW2ngfcOlFwFnebYCyiAFUDENiusEBxO+VV0avGmRsoWAlLFSGTThnpfrM7U11FBre8N+x1CEeDRXnKZIbuhUYp9PJ0ybfW06smgLpFQHcctN5FAv7wOV6ggX5MUvaO8XlPEfZ0TrR2sxYKYM9sScfNrY8QE/2PZ5gwMJ2orRBeFKS156U6ojhTwkk0pxlQKwskC3RcidnliDVbxdT6hOopEbsXohlIRzbCyRZrb6nhie6jtboeyjzzujNJ8Vf8Os+9z5pgVVAqzesLXBOjKcbqyuXmKWF7FKrCnkUIieaI4yjYRvUkXE8hKAtlSQ/QcdVXQvheFlIiwUr10PZJGzLUPrDekjFPhvznlHDtDXXxeo6MtLcitpSGOdEv/LNantVgrGIA2UrR+Tpwz4oN5PVZWIfPahKf69Q+2ktk/rRi+O0H3A7abAWEpmH5+D6hi++oW6+uJe2jO0DFgO1LrYvzmCXL/hHC5RZz3tAlH2qLhfoZctipEWYzJBQB5fwAKMJw2hDljeTXi9D0q1o6PrFlcD6GKuBCNBOa3UhOVfg6mR9og/3kMqHRn77zgZ+l2YN0qB9+C1KmxUbAagyB5bS3XyeULQZlIFS2jlWZsDGoAqZRosXU0nLne82hr4yxXNq5EQI9kU433G8LGe9t2bOuiibXBsbJwuFZKpbQ39lW6FNK9bX1te8HzDwQ6oLHwEh1vpx4zkBAk0zVp4kel+iYQOujO7EmGJoaFyRaWfvBn69EC6NGDGK7nuDKQhJDJxOCyNCDDqN8kYl37SS5Yte7b/vOaX9kU1F8qVa/kyv/z5EBnQ09fC4r5uft3BcdfXCxQpqDX7v0AKQH7dwWH3yw4fT3iuzsKrDJRzuRBmajNMu1pa59/mhHezNC/2GP6yH2bZ89S8F7WO8FjTFhv7ZwvgnjhXGj3urxj0OtJ9/WWyPB2o1hvM8JKlDJexCiybMEzPNp5bLWe8cL5zDvum+0APH8/0vd/rQxyL4IYgW1o9psGISA+8TuWLzN2/9FHPJ8m6J8cEC+gwvQA7L8R7N8XDGfFdE8/a34DnL7H9RVmsf3M9TXfBayHiSKnLuqpbf2UZPo/Z6mtecIC3P5VRjpljI8D5lcR2wGY39Le7f57it7JVwV6IOKvo2J5o/hwK7ZmUJl7Lla17Sfu8YlJAUdJt4Pi8jVfd/engjgPcEVwV/eWAuy+5TjTrxRMH1nTvRwFj3/Iz51tOed9AXYF831CvLA/8nIn1u5IsR2JzN78jJ+93FJ86vy9gvLlDD0nDB8i4llw81e0Lee3AestRc12vyzIzpD6a65/D0guP0K9N+gL6uhLRKBega/RrhcoX/WiD2inlguYU+KS9hquOn14tpXKocFECBqqtR2UGZcdpcahdK6ZCgaNRGhOf82qqS1Oy8A7PU1Njt3vlYXqrU8jFcXM2JrMd57QaMv20Fqag1YsYJCi7dn88fuYK8onDtHLsi6vRQ7FkHXPgAPw9hvwbHOQ2kA7Dxag7Hi4xVNsmUwFSrY58Oblnr21bLtngz0L6fcm3S1WYSNzOPuMZb1/o+NWmhta5sszqGJJCbZB4DPIJghO//M5sqCir6Nsglv2mr4273OXKq7bBH3uNYViPSJAV3PF7/G/+4n8zHfVMYzXa99rFSNr1UpqSuHeAqAMlsWzOSSSy/VeAOiMek8ecNX56Wp8XiJHv21MPFBwZ9qNWDbHSHcFReh0Q2hIoYqSwcxpQT30fVwrgtOJUzkycoWsiq0oZ4RI375B2h+vYay1iZYlHrq97lllE0px9diwqomPG77YIZa1jVhRy0ZqYyz0w2WskCsRLfdLxO/VfiZEMcWdgM8tMx+fOg5owYKvda9/Lg2Nrm2c+jUeI0Q6K9qVN9SrH0tXu7caXd5P9359sYdeCoJJd++O5PTnQ2fTxOwJbWer8XZGTLEa3DwyieO6CleozOZZdQZzzQDZOBpyqpDqVNfWRf7saJ/L2lMxpgKdHypXS6XaySY1YVfPiUwHGxbQ1Vq8F/P7SR14Li0p0F8VIef4EWUmo8opnSU2JKQ/f6qYYiD6wJZEAcG8zLA2p18UwIxaGyybktbnYkbbNcJURQe1rcXKFmo3D1eevdonfoa+tK3SklG9loAKKKaWlQkSp8R7r2ZL5ogzxDqfSEUga0E4XdjfVaxDxLJWBkI7H9vZJlBgy2zFt24IS0aW2O45K+8jBWN1SN2f3rs95EgU29aRl0XVbg+j/79Uf6WxFGycbSlrYtSqtsVqzOTnqaIKaVXmWRdgeO21JEWR0O5jEOQ9xYrKoUCHgrwJwsxN5i1LpEjVHqg2zTQ2QiCA4D5G3Udq9PI5IyRBDKExGGJ3nld7Yc+wdYHfqohJTd3ezrsd/buwofkkgba7DDCUkIgXNkeate1Dm6eeheA1xETMbO9kUPzd2EFudyqqnttgVGTTf+5nTHbmwov9XlxZm+PQCy36XDVGSgtue7ZC/28dTeHdkH4mrCw5qaS055OVKD2vSJcEWWNFhCsF3fw/F2rVoWAYMjuGlmZT+nI8FTJsam1oRu0H7rRX93mDncVFaaPyXrEdFHqTkS8B6Sm09QyxBB0/x9lYTN4rSmlrrZgvxHWo1YY7gul1xZxrqXWhX948QwFcxj0kmw0duN4AWCKTIM381oSeLHinen9bb8WSLc322HMPLQkTVhNFtf0b54J0yRhOVjo4mQ0spACLAssbQbHFq8nW21S49J7JuEQECh0LlvA40yDbGAWtvmIUBpDjU6lsPGdLsa7X4p/B1uZCXYswSV0nGnkOY1CEMUON0QrVOhccdy6QZImx7WCaGpMijRnrFqBGi0gz21NRjI1nRpwV+A/VJxdDYu1syZA0Qo97Go/VJIkdCXBHFKg0TwBErrqDXWb2XtX9RCPnwYf/XpU1TlGIyhglyw8Frydp1ElgOzY0VQUoUwGmgiy0UFL8cEalL/O70Iwg/JA18QQFxOv2AipdlFnGzIbitpEcwp+/UGx3mc7Oxkzo8BQo810azL8eBGlW7N5RJj9eiKix5USojrgbRNka9bYIEGqRa2fwPCDYMhHHbPUghjCUfSJlIRH9CFmwvinA3YrZBoUiNsw05SmQ2pVRnX9X8YwXOhvRBILyPmF+zTo6olnW7NsL0fk4pHIHr0nQRtGBGtglTBgMhlgt1/Q0yVprd5xqlk7MdAajxYfFgtSirMXLWtuGsP8hDwF9Wau4rNCSDElDTe6Ity1aN2jO0GytskJgva4EE9bp0zHdZWrild4Z2f6GqGUGiqBMA9s5jZGiN0a51QhcXgXkfTOkZWSdgw6KsitAKkBUhFRQ/v+8/UnTLUmSJYYdVTPz4d5velO8jMixqrpraHSRjSabK0LIBYXCBRf8GfxP+AXkDgssKFxQAAikBUKg2ASru1FZVVmZEZkxvPEb7uDuNigWqmbu90VUVwuzpa/IixfvG+51N7dBVc/RcyaPlL2hfbpZ+KPZOExrUlSrzRBFkSlvBL7qy1dxqVUNswbR8XkB3y0tKC3eYcnaL6OILkEelKIDMeoJKZpAW2QPa9BBWTSh3LI3zAtXHIMorGNo851ygcQEKqy956PXZKkGRr0e3ulakLsVZVV2B8PNgtQrouvPxfqrjBbZAgbRJNqzsgpOdgjanqaHBa1JJyktB6TBl/a1WHFG1p6kYkEpJRMaajxEagntlpofjhmXglP176JMDhGQWWLRaQKmWcfL26Sp8zwlYIkrslaD04u+Z0uaK4JbmTpLBKWsKHAXFNGtasUbQcKy60BLAh2VxVMLN7X40oQCPSHu1WYj7ivCpD3m4k1h1tnhWVEur5Q2RZFo0ytao3qgcE2gbQmeE3hKet5YEFNMp0CZOby2nvSE+ZkpWt4UyKhrNGYCZVW3VFo+oY6qkFPkZVElV54MYSyKxtQ1B0vaKK9iNBQz6LzRHmDbf8CX52JVQq6iZKTBeLWCyJ31d+0zwgeP2gMZd5qo9PdmWxShCFkN+gUNpbzoo7XrTSO3hCqcLivrq8hW/bclHawWKRqwFe3NB9bWEjtn6++rPsD69fX9bWo5AtV2DpHG9KC89pQDuCg47n75HRy0p5zmCH/yQBGU2z2aANL9vDJK5oze9AlkCKCXdyhD17QfwlO0opwWdSSopRqJIDxmm8vaYzbfOuDW2TmGFd0hdXlYblVtdXlhmwEDIIHbJXifMR870MFb8qeJqz9568fVALtaY1ERpfLbZ9UCiLYxWYJS51DRGGN+rnt5vC2QrsBdJXR9xHTqIBKQvWAaFDXu7hX9ildGb0zVRkefNaf1fKAicLYdqLiV7l/qEFGTQkLeBV2nYSMAZIXp1sseBb4UTC8cTq/ZCrsC8YLltgB9BhYGLWaDaGcPAMS9QziJKkTnlVbdiuzTmqCkHisVu843i5rdUi2zLBF3pLmDVNaU/ox+JkOu9czzZ4tRjLbKUVmHuSn1K9AArIVR3RPFzqdiiaICQOFxAZ+izrnBX7AgeCbsvhW1XOkIh5/vlOFyzKAk6B4zwlPG/Mzjzf/6GlQEN38HY8FkE6dS9ko7HxfB7u8Cym8D9h8UpaYEVEXr4WOBW6QJqMWRwFG/13/Ue336OWN+rkwvXCWkhZF2HihAukugMYG9ILiM5DziYqj98wXdEHH8cg8UpUKnvV5XJwAWgj+a2JE9U2GgeyADwdBEmVryaXtU8aIU20z45v4GOTPi64gYCf7ewx8YaQ98/BNuSX2tUfjjSj8GTIAKil42rQhT6naL5iLLrX5mOOh5VZPx0hEOP/bgxWvLQNACXXg00aWfF0gQ0N2Cvk+qZwAgLQ7y2IFmwu5bhj/oZ8RrXY/ubPlTolZgK52i2+GRWjFYHOHwY8L0uoBMmIoSIXhq7T7+rOfKxzsHiCpq48NaICrBoYQAdwaG9zpfK0PFn1WMVC3PNHEOB6W+h6ND+XKP3s6BSoVvmhBO0e7zC0aZ/56Y+pPX75/kOtb+15w1YO87SMoq3GFBOwBUsR6tkK9VcgK0elcPohg12xn7TbK5CbCFwKmggFUk6ZotQaKWKFX1vmYVZJLZDUH1WmUoWek4rRJfz8+6sX5SVUfbDDf9EHYfVcTARWm0u1oxqqbU6TrD3yxagS2EPDlw1D6dWhnlvKhwDXAAAQAASURBVPYLA1qZ4kl9auVafctqxVGjBlXJVNoKqfpgPewFkM01UrN1KkZ5g1aeN2Om1Bwbai8YdwvOiRGTB0eCPKlaX+0dWsdAg1WIwFXBmzmD5miVfE3cqmptrXBpsG+fV9F0sa8XC95qfyoLCus414Nx+4woy9riWCs+S7UikbWnxyx5KBol93heBXJggX5KUFNM+1rMgESIcyDx63x0avEiMek6IFJLLBFlN6CAOAAolwhufVXhqbxBvGrSkK3ywjq2pVca/La/O+2UdlN7W/IgyLcJ1BW4UMBcwK6AWbAwUE4OJGSVZZjKdFnR7Xq/rIkbkdaayW1o3LWPjuuhvFZFJQDYJzy7PWKKHvPsQQzknVKeqGhfvJsIxRml0QowzXKo9RgBVam6+rvCBJOaOBjVhIibAvAW6aSkFmaVbtqERtxaFIg3GbRPKJmBrH3cbnIonb6H2gWwoVYqKtMsYVJBgcJMTADmsiLOAMiEU1of/mYfKm5VUy3ekl4RNGaBoYsVVVx7cWt2tqF119aKmptWxLtSzUXWby4RMs2AU5G0CyS3FPXHrXNzq+R7gcDav2t/eIGyJ3JRdflOPdOp0paLrPTDzoFLARdp/XGtnx7QA9gEe/JAq1L4YDS2vQa0aS+tciwkgBMgiBYoTm7tbatsHRvDSkts9OqYQccJ5J15Ptuccmxe4TWxMzrnXpCuNDjrxtqmA5TskLwKgYRHh3LWDyQBSiE4FsgirWDQlJNtvdVCJZkdSFPIr+JfXqu0xNxUr+uHU9LCbxNrgm4dQpW6Jyg3Cf3NjGXeoTwY3bWiA2c9e+o81WuyAIOgCvyV2WTJqtJp9bP8pK00Yiyn+vttzGuyW4+tWsy0AlZdn1V0TXmrNs3iaqdU9x4iZTu0gpwxibZ2Plvv5U9f6auv4e5egIYBNEfwpGJQeTSxqUnbW6plFmUBnaMWaDuvAl+eW8Ge54iqj1G1QcR6l92UII5VgNIT0qBJWWV3rEr6SutOO7ULef7je4gQznMHEeDu6ox9t+AbvsF5sUJEKEBS1praOJljQEIrNpfOtedcmSbFkaHhWvhpCYEFkWkQyJjBfca4m7HvF+TMWE4e8ALpdGLEFC6KGbwAeKi0daNEBt3fOBNQi9BO9Qsa66SFd9oKUFH9FottzgTtJdU4oziPeL1BBh3gbhbsdzNOpx7pEBTQ792aVBrK5hZS1ntFGU29nIhbDATTc1nHDah9k00pOutcrWui9UjndS3lTsV4uoO0Ps+25gvAuSBLVa9FK/5X9kBbM0laP22xQgEJQPMCsFm3rTkuKAH9Y8b4zRHnz/c4vnat2MGzoHuM4CXj9Drg+FP1IH35/4sqbGovjh6cTJTKPGJ330lD97Rwoa1tvAC7byP8KSLedGYhxFasAvbfRHAuOP1o1MLkkLG/mVAKYeo7QAi76wlDF1EKIxXdROLOASz40asHfL5/xP/n8HOk950VO3X+lBM19fzuaHtAXVoPuu+cPmPkW2sHYk0qK8orXp8lFcJ06sC+YHd7Rs6M/HAFNwHxRoubyIA7K/ATHpWGXYvmAKxYqHFa2sHUldF6axWAs7bJ2pdq80cp0NTayer882cgOkBeLujHiKGLCD5DhFAEOGBANDS6/yjo7wtKcIg3QC1OVLcFIf2M0sHAtorU6veWW0H34yPmU0C575pFXFPojrpPTC8L3ES4+soAMIsja0zjFlN1ZmU3FTsvKK9WRVq4sVznoxbote1tAz5u1kUt3Ba/mej/jtd/EHVl8l7nkmNciI3UnqHgL9GBzUtE+8yqv66IVkNpjo2C2ChZzAq/GwTeNoJ68w6KalUqgiWYeSdapdmVtkGVk/a9SrAgY9aE2036sPxZmr1DrfCxeU022kjMLVmkVMBkyrPdCrMno0emnQB9QddHpOSQstI3cy+NUiMM8Ek/mzKw3DikPYOTR/U2q0qI/lTagVp9Ct2U0HwrP6WI288SzGLJqK96f3qfxWm1JV5rssT7iLFfUK4IMwnywijO62LfEdzM4KAb78VHWYKUPIN2HsUzwqHYpmKTU3QjKIau64VYjhv0Hyryol9stJ0scGUTHBqiX6loDfmq72n3VhOEiz7IvBmrSsMkpdxL87q197U+r/qekhK2fbvU+sYJINaCQv2snLFSl933n019VbutaGVjs8MqnUcevFk6aVIU96a0eWs95k7nsgQBjwnsBKFLYBbkzEiJUSLDzWRzBSbbrhsTN7N0tH7RJsRVqcRAS3rEVX9WtL+1f0cAFqSsCbL3BZkA2QGSGOVUZe+pKUfq51ELtCrqyUm0XlNgCL9dh2dNdiuloj7PNv5rYiZt76jqw5as9IT5eUHeFbi7BcOwPu/zqcMyD4oeFYJMaIhrpYM2pIl1LSmyXhFwtD2irYmabAGohZwm6sGb987retwWEi4XmDTkZ7uDa6CbGzujFnKaz3JTri6K4ErRHvKtgkMISrWvFkPF1gSspzbnVuho7SSNqmmfVdWti2hf+cUch/YIF6Dc7Fb6t40HHCH3DmmnCcF8rb2Cy7UJ8PTWbmIBihbXlK2wHduVHmcBvyFblXqq/aR5ZePU9S+VfpshpCyU5q1eaXFGuxMAzhUEn7HrF0xLwEPeaWI5OiQLXopRUt1M4F7gll7Vj/1Gcb4mb169r8kU9sURyIqHFf2VOu7QYKsWCZpAoauVempCMmkUuDGj7xLSiwVHH5RWfVbkOT9Rs8erNl8EoCJUwuv3FI2wsa8FLwvoLuf7mqhsBYEuqLRW+FARKA3ec68LpTJ14AjFuQuE6uK9TCivFsNbQazuWylDluWCmeNevACNV+rM0Id2Fl4obW9aQxirMwGZDgMnayfJ0tgl0rt2TtSzqIy+CcORqF2QW0y/YK+DHPc6t9IOKL3O5fPcWTIvuo8XxpQ8cq7nEIGOvgnurCI2uj+kvWtUUp+l7TeU9RraPkUrzdzNAn8gUFTtkxIZsy/wXLAbFgw/ikiZMZ07lMjaTwlFZ/zRkjp73mnYCAHBzu5F1kDfk/nj1vhDR7iq7m9FuD4VMst9ZRKtXyudQPqC/RBxO07ofMY0epxPPdLSa1+taEEk90AcGX4WdMdsc5Ea6l3Xe92zq56CDKRbItDU9jkJxBAupVKvczuNtq7LKiakLIbau64BP8DIo2k6FBWIAtZ4KZyL9iMbu4da9mbj0gXVnQiM0tSvYCCPuo5wLBg/FORAOL3Q+HPYqzq4MNDdE8JBr7HUgpkDzi8dzi+157R7FKx2Qxq/VcGvKrZUAiEPHvHKqfL9XnUTdFyCxbZAGYoKHf3mWuPwqwTuMvbDgtthwofTiPncoRQGdQUiwHdvb/Hd21uENwHB5tvuW32sadS9FqTXN984nH6kxbnhvWzsj6yQs5PNmUyQIMiscygEnbjzHCCZIL0g3toaM9Gr8EBNHTmPGlOFJ92fj6+5rYNq85NGfeaNffWkm2NL9qjOJ7V4cgswPdckuVHAGcBDwDQ57D6f8XJ3xOM84DhXqzvVDIpXDBRVWM62n0y2TzQEmhXpF67+yTr/VVxNMH+303voFVSE2P0aCu7PwO5rawsNKypeXVCK08+KOx3keK0MhWpp5Cb7swiG+wyeC6YXAdMzbsUBjjrn2OjhwmR6MoLyH42uDADBq7gUczNWb+p4Y4cyBLgDgMkOmR/qZ6weu7lAUEDzAloIzUORGegDxKmsfBrcqozKK5q0XK8JLkir/fk6A6Gg22kgu3wcwCdutGUBa/KbgO5JofPuUJT3bf0jCp0bXXFJFnBsLj/pIqzUNkCr2yo8IUj7grBbcD3OOEw90qKVqbJTGxKQBhv+TPowHWF6Zok90GjSHHUDDE/qP7ncqdx2OBS11KGK7gjwaaWDufWRVG9TAKuQj02s6XWGjBl3N2c8352x7yLiNeM4dzj0O+Szw/LWwy28JkhZmuF0Ddrz4JAHgj8VdB8XiCMsz7o1sTFhlu0CF16p5dVKqJnPZzSRnzqPtN9TCxbhlJTKLtToyu3l7FgQgGt/WQ3EvZXWzGOSAOBMQN7+vkNTSBZjJRRBE45ybpNg8fozwIrodgEUNOhvzAVgTSANhaBpUVrn2EE6tbzJoyZSVT15vtMAdn5RUK4y4AtcV+C4oOsTmAt6n+FdxtN5wDJ1kJltY1HRBn/Wcd0a2JOhbqvStK6B1h/FwNoDuFJni9N5nvcFxIKYHZg1AQg+o3QJKTnMTx5lNjrcNSFHaFFgkxCqpVFByWgqsBwtyfVscyeDZwswPylI1KR220cqlV5tCG4aAXw+42Y/4XacMPqI3ifs/IJvjzf4zfISeWJQUVqhm9Y5uX4ONAjuGHnUudGqtUUa9XrLEJEaUNa5Xqv/tEnwN/TVSt3d9jmunouyLhyb227OjZ6sQka2H5cCzCrQRsygvoNME2SeIXkV/6MuaGJvVHBItL5dS+in2Rg5TimixmQAoAWanIGoSLB4Y/ZUhA3QAuYpowwd4jO1meM566FrCFjuNdjLnVoN6L5uVLIqEkii6AkJ0OncL4kgUdtPOJvAmvk8+qkgPG1K47LaNKn/Z2VPaKRKra9+UDTZGAsqAKgBW4Ymuc92Z/zs+gMelxG/jB4zB8Qr3VM0ya6JBaw67+GvHNxsYjT2nImtsp4LpLBV1VchRf84ma0c2dcAUFmLlq727FNT5U07QrzJkF3G9X7C9TDj2e6M8KOMD6cRH769BZ0Z6VERnnCiZmuk85mQOr3/muQyYIGxXu/aj0itxaQiEtse2yb2I2j90brfM/w5w52SWpJdew26oxZMilerMtR924pwEICrj3NjLuBC9EzRsgI5HCFlXh//j55D0ClzofPGRpBWgJFge4b5wAOWuyYBWV8jmad0Y0t4h9z1kI4VfZ4T8j5guVnRNSo6F3kpOL8KiNd8oQ9QdTAAYD4HsBN0fVQmTnJImTXJFU1E/RO3Hs269/hJE9q4VxZJ/5DBS9HCy0DwWa18tMjujNqucU53JKR7peWL01aY2AXMIeOzmwP+ybNv8W7e43/8+gssJUB2Gakj+LNH96CFj6ZHUlGtWW1COKttFwDEa+01dOcCN6VmR0dFwKek63LTAlZdLVp/86gimblfC2QyZNCQcbc747PdEzwXeCr43fEWv55eoUwOVBiYtLWgaiWoHaOoBV9HSL3RWm3NU9GCPGXzAHUENoZVRdABvb+V6afzP+71fOyeBGESpIGwXOn+5GZFu6vuQ9zpuR4OgqtvdJzOzz1yp/tYMGE1MQaP2xRDS+dReq/rJ6+xT+n1M/Po4WLB7psZ8/MOD3/kkUdBfOu0Za4oOttiOM9IO92Dj58TTj9L6N47DB+0tcmZKvn0zDXPVT+JJblacJtuGcsdYbkB5lcZlFRDhDIwPy+gXYb/tsP1r4DlhnH4TxK6LuH5eMJn4xOe5h5pCgALnDEv/ZcDugctqISjoH8suPrVE0rn8PafX2F+RugB8CJYrgnHfzJDEgF/1aF70PURDoLSE9K+KFukhl+hAL0WA4dxQYwe8bHXXvAhIw4An1UMyR8Iu+90Dzq/Vr2f7gG4+ibj9MLh4U/0PcfvCP4kWG4J6SaDF7a+XcLwXtdG3K3CiYCeEbu32h41PQ9YbmUVChWgf++QO4b7seAXVx/wK3mBh/OgW15XkKHjWby2PZRdgVirD2UyJHZFvdNO40gAiEcyVWlC9+QwPxOkz5V9SoUb4lw6tXwa3xWkgXD4MV/oB2zDklaPsRjGH80XdxJ0R20F2/36EXQ4YX72Bc6faXGldCpeV9sc+wdtB6vnTV7+Yya5G0VaqsERoBXCpEq3EDGkV7RPq9E5ochMTXJlrU5vhWNWCpbSgZ3RWjTQ1mCvHrqlk7X/Nghg/ldEovz1opV4Mt9dWgzdmk0BLa6ISuvzNBqZBv92fayKcQBaTxSqsTqv1kFutgMjOUTbgMgJGEVFnOq9GG05WY9l2tUHDKAQih3cGsC4Fgw3sacN5a+NVdFDmUx9Fp41qW+VIWrI5ypUIaBQ4F2Bo4K74YyOEz6GHaYpIAoQrzx4IYST+dTJeiBUCtoapBOkW2l09fuctJx04VNHgiJrQvq9XulP8nYSWBXfvrClc17M0YoOFkUBWxCvlFaUsiJjP8A40GfGaL21dY5v+8uNkql6+GjJLtGGjt/6bwUCWWnAn6osf/LSZ7wevMWa9MtQ4Haa1Dqv9GTHBUyCXAhFHJbFoUweNHOr+nOG2RDo+LYAMsuaFP3QMBQALG1tXNDFgXVDI4EjaXSaJWnSK6baWHpBNjpbSmhIrt2t/jsA2eiebq7KoeY72pDEGo1vxvfioV0mgYr86ecSCRwXXHUzbroJe7fgOkwoQvju+hqzD8hPzuTv0RgIxZR42caj9h61zwAaOnnxNQvSFOVdk98V7dLv12KC1GJCEy66FGGrFWGCKKpT+6ZrgmutCa14WOdZnYPA9+f6VqDHmAdk1lX6kdQQ7Lo/t3XdCiGfFG3qz20QdjBWBogl76VSymuQ7E1Erf7pjQ3i5Hv7gBRAEgORdT+ftVjSFGCzfibsmenf69yhUrSgaIjeZiraPrU+//p1vT3ClDwelxHH1DXRk9Kp+BqbyioxUBLAoKboKcRwrfnWliEzSuHmswqgJXaNHl4t84x10u6rJna0zqnty3PBGCKuw4TbbkLgjIf9DhnBkNI1Wa2sGf18e2yEtR8XteACmwNo1DMW3bCrnQzK95+X/r5dI2/PoTqP13MNQNtnKlrWlLjrNmzo7VpMqYUiHTPqzJv5ZEPVOfW43syFxhRhWWMOoxvXQrAwr4yeeh/MQMetmCNZVro7m7LsJzXXxs6oy7AXE1MzUcxQ4LsMZoFziiJ7l1fnMIH2k2Y06p9SCtESwra323OjLBbgmkI9EShUerWe0cm0HqTScu2zcmacYsC7eY/HZdBh8gWlWNwyqD+mJrn2XAuMEk1NWIiTFqTToM9bE3RTVjYv9VqgrnGJWNtGLYiAlQJd5ylHaI8xA+wFvU+4DjNGF7F3M6bs8WX/XGMtxxfrQ2NGvoyljGJNsqJexcOKcHofUuzoqTEKtmtOBYGKo9ZG1+wifwDgqfZZFeFSVH6d91xFgghowoyAndO25s3D1Z0zZOOEEJ429pSs8U3x6nRARROwcBIkU43XhJzaxGx2aDOvhWbo8wPxuicSmtBqsT20dHWeaoxNRZMgCCC9tlOlnfZVp73AddpWNaWA+2WHw9RDJgWD8gAFgz7Ja4oD8r5rwNK2h9ktAvpgPtnFnoHZzxWniV4RWLueAJ2Ag9LzX18fcI4BbwshZ25xviwMXrTQnnbr9XDUeRN32mIjXNq6K17zC//oGluurROb2028K66MGo5FWaUnDRpU2BaYbwqkLxh8QjT9ndq+oe0xVddGE0ptEdN71rGx9b1okluC5RgwCn/S5xTNrow+BDhjJbWCkiH4y3Xth4eh+fr74lUrA8W+VvdZWYtBxRPmG2Ua9HcjnBVnm22R7V851BaPldmp7MLvLaUffP3+Sa6IVvfjooF7zqDg1VqICPR0UkuM4CG7ATQtKB8+AjmDuk4RMO8URRMBzmdU79Ha37hV56Qs8I+T/r+MiHsPIQZGq5xdCcqowbRygwTkFV0SIROMYvMKI+DgwAuhe9CqSv+gggTNfmMpcE/TZcBvFd4LkYvJ0IvgmqjScqOH//BWA+vHqw7TqNW4vo9KIzXQr1iPy+R8o4mkQUBQCx9/BkqvwgY6mXxbLEJAGhxoIyBDSeCetPJPhzPkfAaNI3C9A1isNZoRrzu1/GGtLKaR9IDtE8YQsfML/vT6O/xvrn6FX82f4b/EP8WH4w73P3OYnznsvyb4ySignfq3had8EcCngVBCh1rl5KjWEzrGArIIoAbwNcBlq0rXin/9HrfkV6k7fkr6M52iao3WVheBGJV7SWvF34J/ShnydABSAg0DEIL2heeMxkeqr74HhaBWQvOKCmhPbb5AZ8noxsqvT/WLOpdz1vUCKO2ZaUXGSmn2WXV91X4ntVDRIshyo/T7/sUZn90e2ucWIWQh5MI4Th3i4hEfeoQPDm6xKt5SafmmOAsN5Kv/Y6P7/UCxQBMnDZSEM7hXS6laaaRExigu2PcLno8nzMnj7XGPXBi0S8gsKL0idpTRvN1qr1Q+EXLQHpkqeOGPDBeB4QOhiytjoaq5f0+Vthht3QLdigYUp2yFPAiICxxrNfQfjW9w60544Q/43fgMg4t4c77GX81fAOLhzoR45OaHq6JOrKiPMUouAh6vtDYQ2hivdCRZaao27ys6oIGdGI1ZDywU8xYuinhKYBTHK6VcRAOuIk2MiCyxreJPUooVF1VrUVHXYvNxO3BUJ5Kiul24TGS97tPk/UrxrSior/w93U8oG8JFBBl7NAssr72X7mAQiNF2c++aFU21rlhuRQsi+wIaMsgVsNPioiTWvK6QFnEmhjuyVqFtPx8eCpyJquXeKVpXizu2vmhJyp4Ye6Rdr/PF6KccC8IjbI9cVeYBAIkRF4/7zDhMvQqVzF6v7TppT9HRqTJo0gmg9DYCj1D/6IgV/QRan9HwMSuSWez6BGuLyaZQIMG154WKdBm9eBXtIUgm9CHh1XDAn1x9h//l7kv8enmJIoQ3hyscv32O7sm8oztuiK0yl0oL4rTHDo3SzEulwTJyIPiiZw/RKsrTEgo7u2ryUwMdwHrTs1KSeS4WzAN5UNGuZlNnhXP/NCtj4dM9qqopiwCkSKsMHcg7UOmBe3t0Vx38iZouAyOhtUQxUIJpBxwj+HDW7w1B23CuOpTOwU0J7hRV6b43IcKY4eaMeNMhXqvlUjjo/l+FlMTXfkoY8gVEC1zhtSA/Xs14ffsEEcIpBogQ9t2C3iU8HAZNOhZSVsECdA9iViQqAuTyurcLEyQQuqeoa64WnWoBDYzzC4/lemUAFLOdKx5AJsTZ40Pe4/GoCa5zBc4VlE6Fb6aiEbgQmnOFNxG23K+qx+eDa33fVDQpCNddC1ypro9WAJNWRCmBMN+4lmjWvbW/BxYhzF7bwV6NB/x4uMdPug/4w+4N/r/dz/Crjy/wxCPKg4eR/HQvdcBy6zdJrvXP7lT5tX9UxsJ8W5XdYYyetZ+2FqFSv6LXgK6XYgWtNK5re91r1zUKEf08UmGmajvFaWU9lNGvhdIkcIczKBXkqx55F+APC/jtIzie20e8+MsI7xX5yyMjmt3O1e+UvTW+jfCHBR//7ArHnwnCI6E7kLJOirJgugdB8ayqvlkL7ecXjNJbLGF7QBW4m5/r/Ok/kKL7QiZABswvs9KBbxYM4wJ3dQb9QtC3YSC8fdrj2/trzO9H9G+86i/cKmyurUZoYpVxx3j8g6GdT/6kzzX3hOFjwY/+pSVTd6KteFeq3AwB/IEhThPo0gF+jLi7OeFPn3+H/8Ozf4OnMuJfPf0Mx9ThfhlxTgG/Pn6G7tEhd8DhJzpH+4963qQBePy5josYyp8Moe0fgP3XmhjPz3QOzc/09yuyyREoUe/BTRluyti9yXAzI+4Jyy2wXBf86f/iS3w+PuKcAz4uI7Iwep+RktM8JVtx9wzsvivoHwrOzx2e/oDUUtIB2Wn/dX9vQrpOiyTdk67L+3+a8cUv3uGbv3mFz/6lxk/zjbE0RiAPmmudfqzjTdaD379XhH16Tpifq5du/wFN0Krp7gBIV8DhOVTkdjeiOwxYrnTuFYemxL3cEOKerZXA2kmPaAXlf+j1HwbJBVqCi5whlfIJGJVHqT3SrYG72EF0cZmV6sllg4p9UrqBVf7IgoNagRU74L0q7MFr1Z/YUNzK+Ct8gaRQqSiuVt1d1MSpqpNuqZutz08IjRpl99P6jYtcJHgQqEBCASgSYnRwTtZDomSACeT0HnJkxGibeme0l0Aoaa0U5qyVjRY8ix2cVkHb0rhQe/E2iA4BkOJsADbVxTrUDK0gGyJ45Wa8co+49zvsw4Kp93gYMkokZBO10AcDFNKDU2Q9iMRoxVtrGvXxzBoMJ/05OLnsu9omDbze/4WwwieCFD/Yt2XPqAqDYEOnX7+nc5JcuaQS1xdrrxwct348vYBa7t5kCoYKaVHXEq1P7Z4Am+MF2uRT6sBf/kydc7wJEq2SJl4QQsboY+sYS4WB7CAkSMkhJ1a12YVAEa1vpiWmVlXTiutKT66I7Rb1uxSAk3bItx47QxRy0kT70zsmEpBTpEJEkI2CD+h1SKzIBFoPeh7rtRHAmvzB0bo/fIo2f8JkAKx4UlENbOaRvUZeWoL7yj0iC+N1/4QijF92WQtXZq1VFSQvrILqGpI12VZ2wuVcvrjM7w3O5vlWFIuw9v1W9kj9rJrAbFgEZIJyF/ffkN268GwjRPl+EaeOH9sevEVePxnT9rNb5Hbz/w1Vrvvmdu7Y+6yWL7quKsJS771agBQPIBRwKNqf6JR1kYopKBd9vmQ0Yo66j9dWCo6GwhHwyd1c7OH1HoSwUs2LKrOXasO2qZIjE3JS5LXkogwU9Y1Rmx0qF9oRpYOSPMomEXXS1g2ARvWqLKWLM/IH5rbe1yd75id/6itwwd4vuPUn/Mg94Oh7PO9POMUOhwCzxtN1R7yZ420PolaEab2WsnnWdqUkouhb/Z69RxMAo+8/C2WpGFtAAOSqKq7/34o3ZPdVBehoM/c+GZe1GKB93ZLXXsULRG07N7cF0locq4rhLTHkZmPYWjYsgeEFuv8TVoq3JWxkCHGxsRBjYgA6D+AVSSKnDJjRR0VqomZORQhJdL5VL9jqeV4ZC6rUrONf+3TbcCRRFXHPkM6351eR9iqIs1WJ1WRQiyRFGLHQii6TwFkvPHVFUTqLwSBAiQISs0EaCyRS28srYklppbi7hbQ44tYtikAX5/722gC0tUhZx9e5gms/47k/4pV/wmfugFf+CTfDjCV5nMPQdEwqpT53tmZlswfT+v5C1XFAv/4pA4cIl9dY/970pJcq0mlnbRt7rD9LInCR1vcGLs7Yxg6ydUVZTER0nceqZbO2ZXAWIOj7Vw9kTkB/LHCzUsV5qT3JdQ4oO7Kyxxqam9br3T6LC4ZZ0CSy9ILyqH2/7fkIIJ2AxozQJfQ+o/MJV2FBEsZx6bAkhxgdcnSgGg84KJMJ1JDCLRpaGQQANqwXRUP9uaAEwnJtVqd+RS45QgVgextfIeRCCFRw505wJNj7GUUIJ+6QmQEvrchS2woqo6oWNUqwdQD7GSKER2U8qmURtfFr42lzzVnRoII4tUWx9m8LAc/7E173j/hmvsVSHBgC7zKc05ynxRJO70vdNLZ0f5su9rONQVC0aEkCgAXX3YxvYCJeAsTRrc/bCmClV4VyN2mM0uaKPe92VgqankNrxbJrLKTPsIpwwlgSlRW6IuL67LaCXP8+r987yRXvQb0GKZpIZYANmSUCpqRqyym3Q4n2exXmqWI8Fd1yDHp2q4fE00FtWXzSHjIx4YngkW4HSNC+3O0EoWIbbCiaNLLAdwnjoGIJ52MPiQw26gJXmvKi1RM/qziJPyelQ5nIVBlU2IjNYoas56z2+7XKKCl6wUtBOGTsSKH25VoPQX8A4tsRcZfRXS1wrmA/LvBOaWS9Tzi/CJiTx5IczucOOTPOQ9DKrYkG8UjIo86SOmGHd4Txox0YCeDE4DmAa9/QzV6fwzQr8jKGC+GTtsFZmZNZ0HHG4BJOpcNX8QWOpcdPdvfoOOEbutMeixE4vTZ7obMukDh6o/pI29y0r1MnMbEiJO5xVnStU4piNLGZ6hOIzbWl3jYyYThWJJiSoARGsn5ITlaUKGtwVSlPZQggx3DHBbRErVw5B/EwBDerGI9jpS4Ca2IAqO1S9XTeiu9USpz3ylg4nSGzjvGW3tz+n9afB6CImLO+rjqn2KhunV9F1lrQbRfEmuSVQpizh7P+I89FN2shxHMAnrxW1BcNwLpHsb5utaZyi87XlYq/QXJLPcFF1269PmiQSaz2By464CwY32rfxxk9ns4eh92Ix+sBTILOZxAl5IGRXIEMpKqAWVXGUcgONcJi/SJgpfDVjVEpMwySADcJwiNArsAle141QM2q6k2OtdfSYlsSTX7CURGLOTosyWF0Ea/8I37s7/FTH3HNC77un4FJEZXT7LBETajcAuSTBmpK+Vr7ZzkJ/IR24OnkRZuPtZijHrzr+mj+eFytNj7ZZItWsNNe5wwvlQWRtT+QAanIbsyX6tOWZJJ3q2r3plVEYoKUtUAjQw8saAh5bS0hYypIttaTuvdtE+j6DDaf29Sxj2djuth83yQPqmjMKjhzgBX2NDFpyVqnNLLKxklJ6aawP5QJ/kgY3q+JLieBOxf44yeIn8iaADI04GdlgLjj0n4GosJZRRjUVwS/KlESQA5pZogX5FDamgRtElMnyKNS1+IzDXLdSQtPDdGyuVSpl1p8YggFFcw6quCMm5SJQrNZELW9RAUB1b4twR8FxQ3gq8o0EFBX8NnuCX8wvsMX4SOuecEr94g/3L+D54yv7l7Bnb0JVrH15276X4FmBeNmQZDSWnoAKw6LBkO52ySrUrdxZVFUGmgN+qviZ+lUdVvtb+peVLOJ9Qwh0wkQR6Dg1+JtFTyDroULy7Ztsadun4sGZ80CDOv7awauZ3YeAyA7pdMOQftXl6x95EzIu5U9VQWoKGb4c1Y6btTik7Davq2CRuYuUJPJRJBEGG4X3O3PCFyQC2NOHqe5Q0qM9+crSGS4e4/+A6+iLBHonkqzq9kihmSsG47Wb7xEIAyIN53epg1J/5ARToT52mF6YXPzsRZiGJlUUZmDjvGyOBABXZcQXEYYI6INtdLNCIlN2N2LrgNPENpoLNi+XjpC9ygY3mRrgcHFq1kJJsEuViVuWoUydzqWvsu4GSf8i5u/w/9+99cYSDAQIeO3+D/+6N/it/Mz/D+nP8Xi+ibURkUtm9a+QcCfBN2jfmHZsyYCCfC2h9d+W3XEoFbYqz6iVWF8RWnRkouKYGsyoJ8x32gfvZ8sKfOr5VL/oMyASqX25wj34agDbaJ/fFoQzirsKmPfuqUA4M1/2qFPQRV1mbSO/iTY/e4EniLiix2WZx2oCPa/5dZrW4KK/pVutcCsHrmcrGdYgMPnDqfXa+FP+8IJtOjPq4UOmu/t7tUR1+PcWAkfpxFffngG5oKhU85smgLk5IAgmD5Xlh4lgpsYN78S7L9LmO8c5ltV4D1/pvvqzvpftbApTSsGnlqSXp8fLwR/smcYBBIK5OsBT8uI/+YPRtyFE+7jDv/q7ReYlqDnTSGEXcTyzyLiOSB8F9T+80oQr2EMlTVOKx5YPo9a8Mw9+kedr+lKgKJIt1sqKgp0j8DuuwxXhdh6h+WaVQW52g+dCf/2/Wd4u7vC690jvhgf8BRmXHc93vs9zucOJTicfi6gRDhMBDd75F6Q7xbdjBcGZcL5FSNeE9xZ+2urSCMI6N54/JX7HN1HRtzp+uufBOUsOP6EkL6YW3sQEiCRUDrBfKcsCHGAP+izP/5Un8/wTp9Pbafo7wXjG1si1U+btRDRfxTc/GaBEDC9CMg9YSFSBW87m/L8A0X6H3j9/khu7WMiUhQsUfMJFSbrHykXhwz1HVqVv76q9cTQ6f8fSKnPNajaqDaX3jVJ+FrFXoN/tASXWNVdr4YZp7nDqfZsrUXnVsVwZmxce/5a76ZR7CgLMGMNHnNRKlRFWpxDFSKgXMxUmkAj60K3pNofGdEJZEeAA4YuoncZL8cDrsMMhoBJ8HEZ8Xf3z7X6SECJjHRycEeHErSvkQTNs82fCemkggZsfYoSnA57VY48LcBpFZnZbtDbCuZaHBcEzihCuM87RHF4Ho5aXaYajAriFZmXll5TDeKrB+u2ZK+btaFO0wwKriHxWzrQSjXWh9UQjmq1UiueTI3a409qS1KtOaq8PgCtvJODO0ILFbCAG7wWZKrXIvNl4A5o4Uaj6+8H9cSr8BoRSrVgKdISrFVd2dZMpXiGsCkQrWwBMDcbipbwbw7NVpwQQiyqZEwsBr7a858Z/qTFkTbPZ5vnNcGds/b+VbZCRbu3TIqyWau1daAhudbrHNWfjhc9FIUcsgBn18P5jM5nBFcQfW79I8wFOTNmrwqGJXFLXHKuk1APuLzo56ZBVTGBAn9mSygJZCrAAFrQe/Gy/UevVa9XMqMIIVDGDU+44wUveIdFTnjuD3jKA4Yu4txnFW2ZbR6isg/0IGnoOmkfUK26V0GXbfW99myt14U1adwUZbb9hoBVMk2ERb3jtFWiChG1YsQ24K9955UdUJWQl4jWSy5ltRmD7hVSqNGdkZImxHGjwEwM2SKMnzIfqg3RppcX86JMiS6YWI89D9kIL2UtXolfe/Va8OkEQ0gqvCPaJ6WqcyYik7VvOxylMQEU4TJvbKZWyb7oSQaUohpIx21J6z0RQVxRZfXNSwNBanYIJQBFlPqGUHRsa5uBMRfgBG6vQVz2AUhaNKkBXLaec38iSNLAJxmjhxJromJjREndB8RZAbOymAjgmMFTgpu7FlCDAfIFt2HCy/CEOz4hUMGeZ7wOSnujMSGNzq7J9nNZxxEwOmYHQLRFBdgwOTKUbk9r4bUmuRfL0NmXjPLpIkBSDAlSmyWO9pha4rFJdjetFMJsQnlYqfHAKlZJ1Pbqas/UpvAn62u9QNs7SdezGBVZe0btHD1GUFRv+RJca4VQhpiuO16UZridw6331VGzOmxnblYWQB8SXownpMKIxSELISVGih54CvAnhj8YvXFWamBDcRdpomNbhlPt76OksUshTbgr2kW5FoNUKHM2apYzJJgi6Vor1NZ8KWxLSeBY0HVGyc6MnHRtSoVGjTEGAqRXJeJ6z1s6sjtncBYTx6woaC0GWcFl1oJR7uxsdK69t/Pap/iL8BZ/HPaIkhEl47Vb8M93v8Zzf8B/d/0zfDh7pKi+7ToZts8f4FmtDjWRpbUYkBQIcYsg7ljPOUbrQfaF4JKYIJ7dY51jNcltDMLazw4TkzQ0zbQecmdaFOcMd45NVIpSAT1qe5Jc7wGnziWci+4HwQO8hvXTjzJwVi/WansEAO7hDDpNKJ/tsVyrCnd/L60PX4UkFcSoQqDVV5YT0D0kuCnj+HpE2ut9uWmlo1ImpQL3atOZRm0jvNlNeDacMbiIzmV8OO8wn4L2UgcT6owMnhhlV8BXESUy8ORNkClh/M09in+G6ZnTtpbnCciE8t5fIPsrS6d+zbQ+7PvVr7ba0HUPjP4j8HAz4Den53haBtzf71GmlfWwf3nCH754j998fIbpd3dwc22pKXBnbvY8uvAEw82MsV9w2HUbtFvjBm0vkKaCDwG6x7xqQAS29jS0oiwn4OkwAgBe7x5x4ycwCTwVLMUjhIwEgMwtQoqel0SCvuqjHDtIJORrII+EXlj3k7SexeFAKO8C/Em9ot2iYrwcdX/Z30wGwgVD/y2GH9UmqIKHJQDxTgsi3YNfz3Noe8XuTYIQcH7pm/iW6hgJ+q/uAcco/R0WOGMdakukWwSIP7SBf//1+ye5pag/aEqrsAmz0nscA+OggU0NtGqym7NRltdglLJ5KxZRpGvQHsgqWEXnGUgZ/tCp9YOrgYtH3NvEPTBy8ZAxA13BdOrwzbGDLA7uwYETwZmflp8UffQT7AGKBv3Wp4NUAOFLqwci9YD8hMZHYn1ihCY40Q576zfkCMistg1xCCiFITtNOlNxOOeAvVswugUpMJ7vzjjHoIbYhXHueqTea2AXtUrPiwZ5YknnSrtaE6EWDItobxzb70ZFQ8nLuvkmAAePCcDwKuFn4wf8Uf8d/rT/Bm/zNU65R88JoU9Ydh6l12qam6t6G5qSYumAZPS+KuCgn0NIVwFUrhWBSgKHgv7JDv8Nd79WRP20HpS5g1Ge9LkotRzwU14VsFNB9bts8w5oCIA01e71ua6BUYHkDNmWRNkpsyCtqBDBNeVZSRkQ3Vio71ckrDIW6quukfo+1Re60kQ3P8NLgohDyKLJ6rVH6l1T4U5gnJ969eA0+nvOjHlSewf/4Fu/RzgI3KTUE14EflL7lCZCUkrrQ6wJCHJNDMuFirRSzJ0GmVFVyEnQhKSaP6AAlRXQe634d06LJvuwYB9mTDng7fEKedNfMS0By+KN+gmU6JBPmtDmgZBmgAoj+MrKMPGFmqgDm35R1up1KvBTVg/cWfs6ZHKYug7v4x7v8xWeuxNmSXAAXrgDphDwcnfCtASchbCwB09W0MtA2uv1VXVT5wVUtI2gMhiqHH9dk4Bu4JUeWEIV1loDeQAr+mvBs/o8l/Y+4jVJJ2896JviCNis2GpjUJvDmz3LmAjkPdgVwGpfNEWQaJESKdt8Z+3nZ1ZrLVMNR8paTMTmtUHT25wmAvoOzcZoibq/dwHia49eUVTXV4qcFiLCQRPeeejwsa0hQokMOjr9mQeGnwB/MOu3pEyFqhZeeq9FtWLUUUMDq72SONcKtVs1eyFqZwxlMbRSg4DiNYBrNlq+AL6ABxUL6oeIzifErPQ7Iu1jBIAcstYjslGdrYBJiQAw3EIop7W4tW3z0J5HB8CKwTFpUZUVDWrKwKz3QKJzVArhKfX4mPb4WXiP5wwAZ7zyj4i9w8uXT3hHQHnXgTI3obWqcN/QKLse1V9Y5yns7Gh0U6LvF+eggU97iQY0OZDpL5SGwtSe+ppskkHCVQVZ5zPQ1MOBNbkN6/xF/X5MQFlV2DlmiO+AsVOl9sMECR7lemh9z80Lu1JCaT3fYSwWXmZDI024qw8Q55oQjvbf+ib85GaY/ZsOijvrGPojISeH+/s9UmG1GYzOlipd1JHU11Ja60kdq9LbPrRFOGyMS2Dkq17ZQUHVrAGAZ2UJlN4hB+23Dk/Wt9ev2hgUCRIA53MrUDpX8JPbB7wcDphywCl1OCw9vnu4bkXKOu+9z9qzvnjVjZgdkAn8qKyvNBKWO69F2HNWlpbZBEGoJV+tPcNaUKpXfAnAMnm8O+zx18uP8I/Dv4UZSeDJvFYHjnh9dcCSPA6yQzIaeGUb1DMrXuu+pQVRrEXKzRp0i/YCV4FQYWuRsDXhFmOuVREuWeOrivjWddE9Gdsmq+ovR8H4Lup8qaJnQRprSK5V70Z2hkh77UnlOYEP87o/Axi+deikKumqyBQn4PCnz0FZz1NAtS/itSb+w4fS9kCyMz3uxewrCSkSiu8MGAKuvqS1YMNmm8SKTIaD9mfmXkAz49vfvMC3TrB/ccLd7ozH0wCZHfKZ8PHhFlSoCRXRQiiHAD4xdl/ruf30E4/jj17CLarsS4W1p1o0Se8fBLkDTp9pUuSi9fF2aO0BVdgoDQYS2XOdXmXMzwn8bMEpdViKQzckJCdIkwciIbiM18MT7scRx50mx5wBOjPyWJDuymaS6BunwkhXBccvVADKncnidkNIPwq6R13X0wtvSsLKFmRjmVYkXTwQuoTOZ7w5X+MQezzFAYelgyPBH7x8jyKEt8c95hgwTYw8O4Qx4rPbA2JhfPvQg+3s5KQ98x//DKBE6D+ugFV3r9+PV4SUTXHdCjXHxwHkBO4qIp88wsGDIhCvBeWqtCHghTB8q99zk52dfWVBAN2T5nt+1rWT++qmQJh+8UzjniToDhnHzwOmlzoP3cQo09p+8u96/d5JLlmSKzGuh48XRWWranLtg6yBck1w53mlvwFAl1RoSnfGVXSKGcgJcj4D0YMPHWixSydC8SMARVtVTY6xWFVdjh7hwVkjth6m7qwbjZ80KHKLIDwlPbTm1MQojGsDDJfDJF2ADF5/bqr3bSqi1p9Te3a0Yqmf56xyKJ5Qjop0FauyLMWhJMLeLbhyM5gE8+CxdA7L6JEK43FQP6xUGDE67bl86NbA24KhhsqiTjQVVhHvILt+fW5W4S2BLDDXCe4fGal47PyCPx6+xX/SfY0/7wK+TO/w1+5H6Dli6CPizoO9wPmMtDhM+w60EPp3rKh3PSSTGl7XZJeKIF45lNCbCFVexYxoHbtkQglUgHDWObLstbqlzfJAFT+hInDnBJ5SQySJgUpDrOI2IPq+d2dFcbeFi5wvaJzkGHKeUc5nnZc2N7nOz3mBLIt+re/X96lobk0wykblFtD/TwnU9yv90/qmVRXbrE5yBskV5luGLKaalwiLC5ijJjZwAkSGe/DwUZUV3az2Bd1TnecZnAq4UvKNIUHJAsHNmDQ00BA9XaMa9ErQ3+VU4KYMKgwaN+iUBccEmJ1RwugjBhfhueBHwyN+3H/EQ9rhl+EzpMLY+YieE7453+DDeWd0PYdl8ViODiSMNOoBwVkDNwjAgS3g3aDszqFaqoBZBWGywPUOrlopHRnJe3xYNMl9VR4xi8qvPncHZBC+2D9gzh4fXcGp65FOHjGHlUXBKnPvzub5W7RKG07W229rrPbvUVlFdNLeqS9dkVbEyYFaIkGpVp/1njiVhkYWx9rfXPvw697kSJPbLY3YbX6moWJF99iu0+CtJrmL2leJs57ylADvIfsrHcdSdF0U9Ypunrrb1o06ZzxaL2Od23SeITGCnAoCSfWmTQXoXVMjrcyD8KQIbekcUu61YswCigx/UN/n/ddqL1ALdW4u6O6VZq2sHzY/Ti1c8rQom2MxL/b9qAkPUbNdu1BDt+fBizQ0oHhSFU1ndlRdAYeMrk8IIeHV1RG33RlL8YjZIYmq0wLALkQEzpizx5IdTnOHpzAiL4wkWhn33bZIuiIsYGriXXyO2n5i+woxQ3bmweuM9t7+EA6xx5vlGnkkPOMRDhO+CB8RKOPPX3yDL4cJfyuvkE49IBq8b/UrKg08iyIPktbnpAUMWECvAV4t9Na/WzFnU4Ct3+dUadloqtLi9D5gGhxrD7isTIR5M/9qm0dwtuZTa5OSeYHkVSyQ5gTZDyiDg78/Q44n0DigvLxqartULaaiZi6MtchQmOGnGfx40nn8bGeUZAf0OudJBNkz0t6QUUvi457VL1I0/pCoyJ2bgNl3eJockAg8s7IAbuLKziGsfqUVDYQme/DqecrLJYul9qCWLhgFvsAfowpunW2dPN+h7FRYr3+0PkYCYH2QHLUFxntV7+9DwuAT/tndb/HH47eYSsCp9Phyfo7/Lv8cc/TofFb1eitoJnE4p4CYXeu/fCxXKIuiONMtw0+C3aytGJm5WQRRqei0JUCmmaKe8dAewWPAgYBfnV/hr7o32PGMG5qxWCV7xzN+cfUBngv+JjPOZjeGihAtWrxcbgXxSlkVw/tN//nm5WZB95RRAmES1xBOyib6ZbTqmhgUByu2Khpc9QdI0CjJca/esjxn9N8emi2VFkiKsoYco9zuANK5Jja/cs/oP0Z0DyfQJsm9/rKA9tr20z8J+g8R8drj4z/2KAEY36r/aNwr7dcfCN0TNdo4FR3bfF1QrKjHSYENjoTdtwXXv43IPWM22xq30zW9/zZjfLfgIQ+YPtNie/+VB2fg6Y+ukD5jLKcONDPcmTG8tYLmnQpDuokgi6D7yHj21wkg4Lv/lcPyWcLtXwZ89hcnuNhhuVWEcPiQ0T0kPP2sw+k1GZPHEOzabSUAGyikVGVbVBCE12fcXp3huOCw9ChCuN5NSJlxn/aQxaMPCT8ZPuJhP+Cr/SsIqdAhJ0J6VvD88wfE7HA6rTFgzgy5TjizxhzdPTXlfyrA7n2GP2TMzwOOr1njtKOCB34WlKMWxvIIFC8YuojBJ7w/7fF1usF07hDPAVfPTvg/ffFv0HPEf/Xuj/HN0zWmKQALAzvBn9y9wTF1+Da9QHjiViSbXhXc/vEHZY3+9S3Ck/old09qPxWv9T6igXgQAR4C5Cbh9vkBD3mH8KhJ7PJcIHcRvk8YxgVPb65w90sPf1arpBIIaQSWGy0iJ0uq3Vzgz8B0pxT55Zbw+LMAPwn2X0fwKSONAfn1gtkpo0XOl0Dj3/f6DyM85ZwGC2TBDWCBDq0J7pZCZ96KwrbBVB9G7y8TjVJWdMux9k5uLBTqqyEmSQ2KKRPEO6SkfXxaiaNLgYZKUY5mRl4P3hoUbAV2qifuxgNYvtfnQ60aV9UlyVvGSbWaqjS0PAhkl+HGhF2IGH3ETTeh44S9n9FzApMgdQ5z8Xg/77CIg7fDxZc1aM3AStU2epabpQXHVDYFhmoPwvqzlQLZej43FUsqhPfTHn83v8I1n/ET/xaTMF75J8Te4XacMC++VXUBIBq1ZElB0bKzJlmVighYsGgbjqrKAgh8QW1rZuymMNu+IUr/lO9JktuY583zqENklEhERZxaz2INmDbPuf0tonOSnSbrgBZliEA+KALWkNptiZ1boUNvttJEV3RL7O/2PaM7N6/F+jUoSqFgqOjXslZOhZQKrtYJhFQcxKngGkVuPmh+UkpbVUBsQXqqCEXG1mpm9V+l9je1gfTtHj9lMTRbg7qGbL6LFUCcUwEzABhcwugigkUOgTJe9kqBn4vO9yKbtb0Oh45FseddVlpQDUi3NOXVZkEgKABpO0EVhqtCWUiMxzjgXbzGvd/h6A+YBXAQBGSMLmLwEWPnEZPTfudrpwuvJSFVaVNVkt1GbKeW/zVZUMRrnR91vmEVi7noQ5SLdbEVy2kiYC350SSjFedqe8d2j6p7s4jOOdkUWtqz5A3LgXHpDy3r82dSOjJwuU9vGAkiaz9iW2+OrQ99RUwxJZAjlHH1E+UECBmSQsq+EVJKsDib3+eVFuXMc7uyCBpLMpbmcdl6Lg39bMm3s0KY7YuadG/Gru2LYjTMtZCovdRo4obOaV984MpaYCRieBRcdQpjOtL1wNa7q/Zfiu7qOkajtDZmS7Fr2Oxxwqzq14AWlVkTvKq4zMnQpYWQZ8bjPOA+7vBtvMM33TuchHAqPSYJ63UFExCqk1bQfH5RlKbf7t3uf+sfrYVMpR+LeZOv1Exa1zGwso/qPKg0b6OHV3XXhmRv1kpjbVzQzu33ZlOsr8kvaU860SbcsaIwsjJ+eBwgQQvXDFihmiFFdDztvBQ7Y9limfqZvGRrL+GG2lISUB0bqYwjLTb6CbZPqle2znNFPtRnV5MuyUChAIH2clerj9xXNpo0Fll9XtWKabONbqjfOu6lN80IYzvUMa8WUm3utXO0bg8F3mXcDuotHjgjC+NUejzkEUvx6F1e5zZpLMQkKIWU2VDY7O2ozaktUqoot83hDQumggVVJb+2I9VzkDJBEuND3OPbdItX/hGDiyjCCJTgIEr/Loyhi1huNF6RSQtwxWIgFTdSsc/ck7ELoCwJe2bixPqC17iprgmypKrUviKpzxrtjFzFotb3VAS4KGW78yDPbX6r1gu0P3rwm32qwE0m0BSL7gOyznM/Ccqgw5kDkK6c9dXrNapasT57N5mFU63m2PW5MyF80IJi92iJbxXTC4Tl2q0xW5vvWswpvkfugfCo8UHpNC1wJ8byZqdovhXLxFl4GgESE79ijdvTqAVtfyKUj4p2plHbBcPTesZWBfNWnLMe0zRuno+dD81u1PyVvdF55+hxKqzCUYVVxbdocS0Xxse0w5I9aMiaFkA1acCCOQakpOwcEICgzAdMDuEjN/S0oskqrEjqNtFZ4u0J03MHjg5xNMEz22spEw6nATE7nE+9CouywA2aM/zt6RU6VgZR5zN2uxkTFzy/OTURLYwZac8Wt6go3JI8ojFHWgHAemDrHlBbIzkCdGRE73DadSizu5zPhRAPHeJ9D/+oBaDU02q1KOt+t1ixJFiv7lZMtARlgs7PlYaeB4BcMXu+lY3+D71+f+Ep5wAyL8WUILBdOGU7ROzvmJSaWS2DDP0CAOo7TWBr0AEAyycHWBeUpsFohw5qP06RRhVxsw5e+gCU4BCvFEIn0UoDL4Jw0AqJm6VRe4ojEDk4a+BvKEjK4CdFm1vl3zuQ59bjov5juuAoZjgRUPHWM1ItFkgb1G8KcBvx8sUB+27BT67usfczftQ/4spNCJQxkI7hH/RvcSo9/pv4jzClgN4lXHWzVkJ9hyN3WMpOq1WikzAsgu4pNjN6rUQnYF40fgw6a0tQRCDttLm9BirbHqtfv3uOY/wnePPyGh39j9jxjH/ef4U/7b7BVy+e45fhM5xih+MSEMYZ4/MIEcKHlyOWxWN6u0P3nnUTFvUgdk+6kevc0U0p7dSM3J/1mS/XDsveAhaxogVrRdVPinpV6g5ngTslRTsNgVdRCb5IBGiatKrf+k1pkz3Zs46pIa009FrlPdoEXGZQ6NX2ykR4qv8tWQGhJbi1/9bEpVofr2Slajq3fs9+T1IGYtQEoFcxE5qt1BY8xDlwKugeM4IDwkmrpucTI15Zr0dvFE+jvnSHGlAV+JNS0yv9iadkTAUL/rdMC/YtONQNzn1/rCzprvY3Uj0A2Q6yUUBDxm5Y0HmlKBch3IUzXnVPAIBT7jFwxD+7+hJRHP77x1/g3bTDKXbIhS/boo0KxcnWcVXkBtS+a17WAlTtrQaAJeqP7XpIzUptfvMM8Jnxu8cb/KX/Ao4KXrgDAmU4CAaOeNU94bwL8KxqonmcMe39BS08eYc8ELzXqi5AcF7HqjGGNz1yFa1s87tYctbCf5iIGloPJhwh1976VHuLC3hZq/YVKVUa8aaIU8fFLISqKJqIsQo2/cvifaN7igio2L6cN0eKczpPq/BPjC3RFe+0laLO73nR+T10+v3g9d91n08ZfJr02vdd88FzcwEnLZ6UWdHx8lCLX7Ysnkx051DgzmVFHyxoFwD+sFj/qlKSaUmgg6L1crXTtRX0e629oQhcWrRAkgVMxRIXt7JB6jwfoGqaLGAuGDsVELzpJlxbUHFO2nLyatBeuo/zDucUbPmrKNt+nLEEj+PkUKC9ZnkwxkKnJ394zNozbOwU6R1kUFSnFipL58zSihCOGcU5dA+MmAlv767gucBzRjCJygLGsfQoIBVaGxccXjiQE/igQV88BiASOlEbslqwFaKWdFECWARuyvDHiBIYU9ebOJ2KwKhCOYHqTJc1Aa4iRFpA0PNg609b1wqSKYhX/YBarGiFwQIcTpBSQEPf5pvO1c1SYW4orTiH/OoWKAXuMANEiC93yINb5wTXRETgH8y+yIqhyAX8eAYFr7/XM/wxgWftN+NOkxV31vsZkqDrVDBxudHMx59E3Qp6rZqoN6kmbu4NVpTcXtNzQjgC/WNu6s26fqlZAta9h6OdgfanBEa8Vtuc8OSUzeXNK9ZxE3LKg/nCsvUykiC4jJthxp/dfosbP2HHC57KgG+WW/zufIckjJfjQduvUsBStDjPJMpGm3pjonnkTOCJ4c5mWWOB/3yjPaLdoyJzNQngKOg+TKBUML3eIV7rHhKe9HdV+8Thy8Mz/IX/Of7x+Ab7YQFTwUARAy8454DD0uPV/ohf3H3Au/MVvn5/q57JThPzNHlg0eI/FXVTUDrpOg7FE6hbCwlUYNZLtWWrgDzUssVaGtRHdn1W2tIi+sxIn4M/K1tneTEog+1R5xqfNfbMz3Y4vxpARTC8mcFTgn+cUDVIyq5D6dfPGL+bMI+j0sGvCfOtByfB+L4AAsx3hPmZXvPwTs+b4tD6ijkJ9t+otko4JAzfnSCO8fQHeyxXiuhOL7TRvsaP3gTrDj9Ru5z+A+Hm7wrSjnD/pyrEd/Vrj/ENY74lzM91caedjm94Mmqr9bCSAMfXDM7A/hvBzW+0wH36UQBH4PorXdilI8Qrbi1TblG6dO6B0xdAGtU2xx9JNQ+uCvJYcP36gH2/YFoCpugxnTukY2jntZ55AnjBeQn45eNnOKeAq7sTkjHNSiZQZhzvR20nXEyjYYzKfHjr8PzfCFKv9F8ATVl4Zkbc6Vgst5roTS/0HOyelOFRae+cgPjtDpEF/sjoFmD+IuLHP/mAOXn8t3/3hwCA57dHXPcz/uj2PT4fHtBzwq0/4SPv8fLVEx6GEWwtbogOh/sRmB1C1uta7gQlaDzpThrXpVEA0ucZnoDp7DFhVCHF2mefCFgYuy897v6mIA3A6TOC3K7ItbZb6P50+lwTbUW3VbG56kHkQVHf82dK854/S+i6jGWfMb1gyGn7gP7+138Qn9xG9xTXqqeUS6vi1p+TWkknr5XDGoxW1dltzxjw/cC6fu0TFK56rwrbhk5aLit+pYzwAjts0axTaqDYvMcsab74vJoAbILFLTqy2u9YRXX7/U/Ei8QB0glCl3HVz9qX6NW0vKfU0K1T6TXZ5Qi2Une1D6AiSMJI1lC+tUZpr+3XtqhbTVy2QYFokFEPxFZ1L4S0ODxOPd7NV/g23eK5O+AVn+Ag6DlhcAlZGLEwAhe1shHCrvNwJJj7rF6oVqWrolM6GJtxqYnA9tFvKkNNTKAVNerXN2h1/fGGGGkfU7NvKJ88k62q5nZ8AAvC/WXwX9Ev1iozNWRcIPj+swataK+Ko0l7H9r2obc5riwIobLGMqVoRdOJIkVZPSvFEzxUhdGfLRHogFxqb5uYSqmsCG7aio9cop6XjAQYSrpJZuva3Kzly3utY28VUqdqhewLOq+IVuCMjjM8ZzgqyMIoIGRhOBREOMzZY85e5zUAEWq6TLVa3ubG5t8X9yBrP9/FfdXvCVYRh6wowhwD7pcRD2nEUxkRKGGgiCgqz99xQsdKzxMhdNYjXwojkUPKBCnc1MllIzzSXsV6Vw0tEGCd2zUBpu1+uVkDdc3Wf9o9fo+FUJkydR8z5Pr/79cGlb2YH5v946JYVF9MihIBjbnT3qO+5/Z3RIuhrV/K7rHAkn2QeTpD1biLFTuM8lXFcyqj4+JVbdMsaa8e7NTorZcF0yYUV8+Wem7V/Uawol0ealkXBM4XOK8oV3AWdFlhp77qvF6Kw1Icsu3hubAWdSpiIJs5/unz2Ozbgrqf/z3PzxClqqyeFoenucPHZYfv0q2yFShjknXNBZfhugJ2GX2v8z1HhsAZwowVVdgeLVL7xzUBpULNU7oWbLb307aXzX7+vZfgYm9vSHxFcj85i5smxXafb4U6QDbeMxd2aFXULW1/f3MdjIv1V68F1gZTWTjaUrL9XGrzprI4av85LwB1jNrTzFmTJ14I7BU9rwiXm/TvxpKplyL2jKsHZd2HP42jNq8qulk8QMVag6QWCPQaL5D6JpAlgBMEV9CxIrWOCqLBb3PxmLJXERxLamshJ2aHEzrMWduusolTlcKoVPjtOb+9VkoFTAyxeI1ibuwVY5kq0poUEZJEeJp7vJmv8SyccF92m/3c1OlJsA8zXg0HFGF8GHZIiW15CUpW1f+6l9cAvo59E7ATLfLWNomLrXZbxJTLr336kkrBB/TejEXQvK+/9xA372/6AspOs1707Z4zeE1aCS3ZhrEea0E4DUA4KnV+U2ddRapmVX12k9LbxZvuhGyEt+Tyd9iSpdIri8rP5v3uoO2MQBu3S8EBoNrGkaAx1+rSrT37uSekgeAI5umrlP8c9Nls433Z9N3qvgSUDEUys4oYpuzaXi1CCje38RZwn+GD7u3nFJALY9dFRKe95lmcEqOq4n8dD2M+LMWcKBjIWzaM5o/Ittba+jbE82Jvr/N9sflX10pRdkIyjQcA7V6YCgLlllswmd2QL+hCQh8SDtIjJkV2nTm4FBMbk4S23zdGU67PQVsqONH6PWPIuUnFySAO4o3Ob72+FawVVlYrZT1PdfDX86CNkVvnWE7ORBvXZ/oPvX7/ntzjGRidVkyZVWRKpCEoMnRA8JoUTBuaKBFoHLUXsS5k623VK3O6aC25pDiBno6A9yjPryGdb5Qld4wYsyYtOWgiEkx1IN8zdt8ZrSWti1hpCwKechMlQZbWr6VoszMEuvZ56rVRyoBZOMjQ6wF/nhUFvNkZZcyoS4Y+6cIUuJsFdzcn/PTqI0YX8SIctT9LPObk8dvzM/zudIurMOOPrt4BAB6XAUt2eH/YYTp3KnCVWKkekTYbnm5kaefAScdBKeIDyDtFw0ejt5nQUP92Upnwmw7TMxUVcmedRPPHDk+zw7/GjwAAz7sTvtp/DQB4t1whCWP0SrdOhTFn33qMg88Y7ybMQ8b8sYM762GYBgKITcla/QQrJY2jPofhXURvRvWaJKv6Y6V8kmillOekPVjVq3Bn1beqbJuK9rWWsgqhAZfBNtDYBqq2vHllD7zZ/FsKUFjfpwsamM/zBRpGcKrUCqw0UGINni25FABESqmTigCL9TgyrehEDd4ARSaI4A1ZyL0DM7A3hCT11q+aZBVRq57PuTSRKT7Oa7EGWFsIgHUdLlGDteAVmTNGho6JofDMQKNFrkbfxRPSVYG/03n+i9sPGF3EbTgjUEbPCVGc0ZM9HjDi6/kO5xzw5dMzPE09HBc4owZNU0CODnzmZrOSOz38/Dlrkap3gBuA06xsi5o0bZMCQ/l5DGiiRo8ARcLxw4gvAXguuPX1OjXJPWTtrXnWnXEVZgRSJCwVh2/GG5xip8b1ZVAVyYG03ndE61m8aB0AWgKa40bUznb+iozVeVpMQZSSqFiMWG+pIVlijJJq9dNEw1oBcZME1PldBdSgCSvVJBTQfi5n8887Faorpe1vqqZvSH9Fd71fC5Sl6Dqyc6DeM0VlM0gf1p74uj66AIgHLwnh4OygJ5VjsEQpm29s8dJ6n/0kTWiHzXe79nOuN6RCgVSK6ScU0G60vVtFgqhY8OYIEjeFrQ0lkDjDzQQhh9RrhTneCJbnGf52wY9f3qN32ncOAIfY42Ee7RIEx9jhu8M1UmZMS0DOBOcU/V3mgHRQxWX/5MCLolPdQdlGNYnPgwd1Tn0tY/2ztHkuRJAxNNux3Kst0/Ce4E+Ew67Hh+iQzC92cBF34YwijFPqrEAZIVdnBK+U1FQY77lgWTzmPELYwR80iJFcEzRTaz8bOtzrPOs+KlNLDGVOcM0apQYpbtJ9qbU8oCYGpkWQ1rneElORtXUo50uWAaCClUSr6GArim+S3OMEXHcqxORXin7Zdai0f3+ILSnVG9P5WjoHdA5VsZunBH46ASnDnZIyXAJj2anmhD+aaqwjZLcKrXEscIv2haqKNjC8F8g9Vk/IouyzylKrIouV2hpOCShAvPZN7Vvp3FipvvWeN8lWVXGv1jRs+g/iCG5n88muIV0JylXC/nbCF1cPYBL89nSHr+kWg4sIVHDMHZI4eGR4KihQa7vj0mGKSoWsyXSlMyIRfKQm/hNOaoOkZ5YWdBW9FzjRvX57L1SsTcGo58N7Qjo6vPXPcP+4w2+f3eHrZ3e48Wf8YngPALgLZ+D6A342fsQf9G/xYbfH6/ERT3HAb56e4TD1SEEV5jHzWpz5JAGvr6b0KjDlWX1G1fGBMuCKKIOB5bKYT9AWFRI0xegNVZ9M7RbOtT5zcYzwmNoaEaPIA8a+cWvRAgC+/s86DDPDn2BUeaD6JxdHmF4A8/OC8LeM27+bkTvGfKdtI9rfrWJYadBzSPga4lm1Ubq1CJNGIN6qUFJ3bz3LDwTAKcXZgCVeCKUnHH+WcfwxAVyUoXVi7H+nP/P0hwXyfEH4ssft3+o8Dmcdi/MLxvmF9m0WO0YOlZ5tidj4VnBj6K7G34SrL9dCFieBPwHdA6EEh/n+Bvc9gJ+c8fr5I0QIp8hrmNhl/J//5C/xn13/Ev+vhz/Dv/z25xhDwj+6e4elOPzF00+RHwOaLoqDAhOhYD8s2HcLPj4rOP7I6bg86hk2vaQWy3DUZK5SxvsPYjR8Rda1dU9szumziy8TeEzAyePt//QS5Srjxz97j31Y8Lj0+HAa8eE04i/lc7zYn/DPn3+FuXgc5w7L5BGCtktO0Yo/Z8LtXxcMHzMefhEwfabMgzyI7U3UBGTToDmVP2hiXL19w5M6XYSDqBWcuOaY0j1ov/98x5jvdK2kXbW0BPr7gvmGERvwY4yto64vf/JIO4/xqONTVqOYf+fr96crxwiMsE3RKvQ5gyajQlK/Vu5lraILa58MYOjvFmEDVhGTrP1lkhJwnoAugPLViphCA1hvNFXqvVaPbbPwp9wqb7Xamce1b6YqKVf14UbhhAY5TVilBvlbCqC3zSfn1usF4FJdmdaKlXhB3yXsuwV34YzRRezcAobgVDpEcfi4jPju6RqHvseL/ghHolYChTHPAeUQjMaoVX+qKoZWSRGCClsRqQ0STIijQAUzqliPeRHSrAmNBAZfa1WmKmC6MyMDOJ56fH28xSl12PsZDgXnHFCEFOFyCVP2OEUVxWISgAvGfoH3GU+Tg7D2RFYpercA20r9FpX1ppBc+pUGU3tx6kutMpSGmK+6JlCi37TDe1tabchS/ZlNkiuGXFaLlbrINsFTQ1wBqGWQ1+JVnta5AShqRZrIN1q0/U79rHU+bdThiqzroCFzdQ2ZdQMn0OxAvlKgCJyyVi4HLWxwFoTHrD1j2+SqaBWc5tgquG0u18+rInFmG0PM2oZQ+4W3PXD1ulpipXNdfUdVXfZmmPCyO6JnLeY4KphK0CRXHOYSNNGNg6pzLgFL1M2XyCjO2aFEpdGweYu2qm60Pn82T9XN81Q6O9YA155lU4It0qiXdHY4nzrc70e8Wa7huWDgiCyM2RpRRhexp4KeE67cjCgOBYQnr4fJ7GTtp8wX8XSrcqIa1dscdLAhtfUKwUrP3FhoFFYxExUfqc+1XCQ3VBknn77qvN1QhNU/d7MOtuXi7TOuNM9K4zdxowuGTWXx1ISwQD8neCvcbFs9MmDqs41yCrRkhLI0/9E6vzXzJ0sEtK+nmBq8u+gxl3Uf3947kQ001s/zNWB0yuYwJISENwg41nvEGnRWwbHSEXJfgEH9e1+OB6UCU0ERwnG6wikGdC6jd9oj9XTqkZNDNqusHEwRfXHgkwNF0iDHlFA5mqJzRZANdaOY177UjVgcGYNFtx9DEZMiNFQAdyKU3uE09Hh7vjLmDYPNfgJQJHfXL+hcxnWYUIRxjgEEYBkTciTwwo2dUvUwKiuq9qVSEfBJz5YyaCJJ/dq7Vb1Pndn1lepbWteKoO1NF6rptj+21pNtm4WIJgTe+sjr3vYDaBjZ7xRve75tfXpW2loT0v+vayULtB3Dt75XMIBkjhDQPZYJSL1TASspoIMF3L39XiorOymLvk1FbWu3V2/CX2VlnvnJAse0jjdF3QeEybyH17OUY0FFxlbLMBuqulcTsAqrJXBUYaBsvyceKJ2qho9dxG03IRaHD7MKA04+oOOEVJye/RWRBBALY0kO8xQQzwHktOdbCgGGApGttwpCVCHK1hOP9X4ao84YKjr3DK0j9ftEAdyTQ0SP977gq+4Od32PKz+3IutdOON1eMSPw0dcuzMcBB/SHm+nK0zRwzmP7ASFpSXTlW3zKeNMk1tZGShFx7Mm7pzqObmZ1z/wEtIkuFRkuNLyYc8pmJAiaVGvFTRrYruZ49v/X76I8G9G1aopFVBA6wOu+jAQRvg4gceAtFd19nDIcFPGchuQBkYmglxTQ9aqjktFb/Ng7BLAijICfyJzX6ixiKF+1xG+UxS0zA6ykOnpAGWf8frVI969edXElypt/fjaIe1hasPSUF9d03pv4xugu09a/N85OBH0D9gg2vU5iLXpKX35/DlhDBEnH3D2VVFdvaD/xdXf4f+yv8dvlrf4r/MfYggJz7sj5qIuEDwzSlc0ya3iiL60/V/6om152c4tUUCgdJexe3Un6R8Efi6Yrx0wfDJvbB7yLuHm+oz74w3694yZgefjCXfdCYf4EkvymGePtHjkwjjfaryVkkNJeuYGlxvBgBJhfJ8wfHvE9PwGyy0DPSEOApdV78jNWsivyKpbVsZJpYiDatKra6ZaDPlZEA4FcV8DOKg/sbA5hgjSuErT1D78Oi9IVIwsHAXjh4I8f1LQ/ntevz+SOw6KtJ5nNFpjLhbcFNASW0JKIahSpwVFzeN2KauKZ69IC05nTWyd9vuS98CzW13UgCkebhKSops/eh28NkhFE1ld0A7EhO4habVwTqApXd5PRbaSUY+c094tQJUsbaOlmCClaDJRNyPvIJ1vHr46cVX9L+4J0gm8z9iHBZ91T2AICsgCft8C6j4kLNnhL978FEWAJenEzJNZmBQ0MZD+g1bVw1H0fuummwTVAqZWASF6z1qVtIDPApBs4k9uEfQfrUpG6tG3DAGPVz1mUwllEszJIwlj5xdchwlMPaawIBfGMWpP6WnqMZ8C6GQN7fW5iFan/Tmrd1hYA2ctSIgFadKUIqsKZw3+hQM4aOJcapCczCbEkA8NJmogrT+7CvMAQNG5Oy+KMg0dqu8cnWdQWdU4NXmtSZQVXXJWldhqO0K0oWbWgwjKCGCyXkYt9DRVZSYtAAAXyPI2OdH30znHR2l968Uz6g4VihgqYL1fW9/bmuxtacYNyc4rclwj+yoEJ5sgmkgRu4YQkiHTVhByah0Q97pxBaMo96xqygWEIg7v4x7H1OPtfIUP5x1SYZyWcNHjOkPnj0QGTWqpEh5VLMMfpSFczV4iKgoBVtQO7UDdqA/X6y7ao0zCSIMAhdB9cEhLj6/icxyXgH0X8cXVA0YXTSSrgDdiQQNHOClGY7YtNJOJxSjiomJIllQTGjJVX0KaXBEJkNYtC7BDL4uJ8+jfjZWwnRstCcgNKW1BfS7rc90oG9fCifbk1mLM5sOLzjOkvCarRIqOlaIq4tMEeN8EpKT+zDapqNfWkpGsSXIRPa+Ler3q3KnPxnqMzSNakyfWdZu1B52SFjBJ1uS2FjsuKNx1TS7pgrmgSLQl+zkDGav3arbAMmOd180j1SEPThXfr3We55uM/e2E60H3CU9FkVEQPsw7FCE8Tj2WtEeMDvOhV6qVUbyEgcSiye2s1Hk3WSBae5yKag5UlXW9TmlzSB0IaBVH8lXE75NoWrQPioQxc4fvumuM/aI9waznTRZuaDSTqGiWcBM8fCKg0qm/9yLbj4CWFOar7nsFg5qE1R5qQPfvygQRIvM6tzWwXJ7PTTyxzrEtQwdYYwJZ5zG8KnmD1qJi2Y2gbmUgkCWE9TNUbb6AZz0LpAtIz/eo4liUNdIUsX3Q9EWQBpBnuClbAlTWxD4VC6hVDbch2aZY29TVHcGLrImvBYwVRakF+0KMZCGc1CPELDfcUhRVBlAGp8vSCkHqQ10LRabGLLoOxVcavsYAuRPAqw3c3XjGP7n6GrF4/DY8w5w9zjkgCePDtMPbxysQ6c+KQIvyiSGzA80MkENmAWVC/0G1OhqFuwC556ZhQllaX7NOpk3hjQguFsgxI+2coYzr+1RELWfC/TQiFoe9W9C7BIb22EdxWGzQdjwje8Lnuwf0LuFrIaTodJqlNYn7IbpxTc4po9nBVW0AITSxnfosq8+uKuTrM2/JsGyQXiY9um1NFc+QUFW/bd2MvqHwDayZI7BREe+/7NBbctIdBMOHZGJxOs+e/RuH3HuM7zPK4FX0rGjGVW2wcs+KRLekRVsA02jJpiF17qx72HJHyCMhHEz13rQ7tGcT4IlBJ2WOuAh0k57tZHNy/7cB99++wt1XwP7bBSUoupx7QtoBpQN4BrrHigbqHjN8ANxZ0B0F8doh7hjTC7WC2n+nLhBpVD2auCMsN6ocvPzZCdf7CT0X3J9HLMmDzPe1ZMKyePzfvv0X+IurN/jddIfnuzNOMeD/8bd/pjZfb3q1dCyMYnE/FUJhwe+m5zrHfuNx9bsCYWC5ZmsX0IS2agWl54TTTxJ4YnBk+JMq+FcNivE7vf/TFwXSCehdj6dvezgAy7OC0hd8dX+Hb9wN7h93yEtdFMA0B/wP736qbY9RNRdECHNSsAZOkHcFjz/3mJ7dmCCUzqFgNPLlGqArzTfcpHtEHhSVXq6p6WT0H9XCL4cKJgIQUuGznTIAWq+/aDw/PVdUPe5URdofgfGtHhxxTyiDxlSDueH8vT7nP/D6/ZHccQBOSe1TKoIlZbUcqYIwREAIq+hUo7fZgZ00YUAXVMl2mlCOZ/B+BIYBCB7lxpLNtllzo5vpv2GHuy4oMTSz0lpL74As8Pcz+DSvQVkNfOrBmbIi1EsEXe1RXlwDAFikJURIce1Nq6ggM0pwzTS+VoLSjtQwe8jofcZVmPHSPyGD8S5eYy4e59y1JLdzGU9Tj/t3Vxo8dwXkCjCzilEI1HdqJuy+E3RPxYy6rbJWUdq2KbFx4jPcMbZAVIhQrjzyYFVnO1DdLIa4OlDRatjx3GNaAg5TrwIlnZp5Mwlu/ARHaoM05aC9N8ljmTzwEODOjNZrUKtQsYCnrLYhnRU5KzJY1UQL9DBjUipPRXeoUlWcHf6G5IgGErzkVRgEQO2dqui9zjujwGUL3HNRSnfwoJhQ7h9Q0nmd6PU5F7kMmk0pfEVsNwlIE3IyL11LginnRhdF5rYGyPwXW1HowjfXCi/z0oTPOLk1gV2y4sJZk55WyLAihwT3A0nu5lqBNRityXpFkquVl+PVZ7kmV6UGWboBpx1AfYZ3WsX0rD0hWRhRHD4sezzGAb97vMH9/R6SGbLwGjwLQFEre5SsRyQC4bAe1N2TimjVokctaIBZqeIpa+PLFsU01I5EA2wUIFRhnw8Ef2Isc4cP0x0+7hLya8J1N+PHuwdch5UX46D3w1QwuohUZSatdcBPgJtWmunaN4OGMopjrZdYgExGMWu9XqjrRDZVVgHPKj4iwTQNarCdN0h7K0AYGt8FVMaAnM+QJYKGwdRmFYmisgb/KOVCELDS/GXs9XOOJ7NbGS2RtD2byBLtTca8oZNKZS+I9W1W71IT7WvPsWTAFbBY0paKFU5lFaJym2DSEOy15x6oPZRkRRoysbd2L7YWWgJc10D9/Q3NWtE3DTDzwJrk7lXMsLud8frmCb3TtcxUcBdU1OpLfqa0t6nHdOgAK9hQMlXouM53wM6Kov1lNcmtlX03ma3dYoUM7y6KN8KMMgSdV1uV9E1QTrKxY/IO535AHD2u+wW90+IlAIw+4yZManlkFObep6aSi6wBXHvZPdS1CHse4hjxygMM8FzgLNkjs1fxJ20Ryb1rKvpihU3xKopGWZknF60mNmf1Z/X8/V4Pal33MUGmafV43pSSyj6ATKSrtnIAa6LOqejafDqh3D+Ab29QPr9RHQQTOmzU0py18AOA4g7wDIY9s1pwkOriQFhuA+Zbh3Au6O61mC6T3f9ORceaqnQxTQXBqmtRjwVXKaR1PHR83VLAc4Y7zrb39UBgE6rLEM9wkZtAEkdlu4ljLTpbv3kJouesqeQ/60/48+G3WMRh4IhT6fDV9AwPccTDecD0bkSz5AHaXqaKsut85wT07wn+bArFXq87DWTzns1SSotUrWBLBKmew0uBNxGt2jdcYwul+ApKYTyde8TM+MbdYHARzzpl0GVQ69EdLJr/yXCPGz/jsPQ4TR0SodlmNZacbdENZRXbm5OAqt1R1uKF+NpmUZNYmNiptaEY3bbZVQlQBTW18I/GcpHAyB2b+rKCNmnQsehiaXaW9HgAldWM+ubXAtfptfb3GcNvHyHMyLcDhIDdbybQeUG5GpFvulZcBIuxZrTFoASgqvGKg7mEAGmvdFaetSWCBFhu9DkMHwRXX56RR4/lxhLyqEzB8EDwJx2PcLT9ymnid/c3GX5SGzj/7oD0fI/DF6HZ6OROEB4JwztBHnSicQRufpPQ3UcsdwHLFWN6xjh+IfBnws2vC/r3E/iuR9w7LFeE5Q6YXif8X//8v8U/Hb/Cf/67/x3+6s1nKEVF+Iptonl2+Mtff4G/pC9wd3fEP3r+Dn/z4SXwyz2G07r3CAMSCChkezjDnzx4USunqy8nzC86PP3U25wHXK5zAjgNgmc/ecBp6jA9XSMcqalY9/eC3ZuC6Tnj8EdFc4m/7jG8F5w+J8w/XgAGHu53gBDkpAKQVTk6Th7fTHeaGpGATQAtWg8v+QIZCIefqp2Tm23uZ0AWjbeXW6WMj28UnU9X5n/s1V6IF2B8Jxg+ZFOvZlXbTlDCblCac+5p1Xcoejgtd6J+00b1DgfC7ruIEgjzbUDaEbqDUql1r8K/9+v3F57aBjViJ7UIGuq1fdVDcLEKfk14qw9nVdxkAkIHGgoQutYDRqm05AxNpj9efMSW7kdk/mKG9LiTem3Rht5EuVxQnytdj7w18X/ap2mfrY13stL+oAcNLwn+rEhEHvQh141PZsbh3OO7/hp/PbxGBuMpDpiLxykFLMXjcR7wcB5wPnegowNlgsxKU/FHre60RLE2sNdhs4bwSg1RulJNaK1a3SxWeA2UiyWJ1eZHQXhVO5tVjW657/WwGxOcK7geZtz0E27DhJ1bUITAtFN02sRUJGtQp/Q7+xPXw14qRc2q+7UntwVnbg1+sE0AgNZ39OkzqH1SFxY/ImYdRGsyABiNd50vDQVgVnXljOYf+j3K2yef2X5mez1b5Ddvf3aTGHuvP1fyiiAZzVnqdToL8uo6IVptrS4gwE3is01oKy0uW+JdrGWgUka3yVEdM2BFlrdfTxlNJMPGrIme1CCjEHIhLNnhnANm8iacpjS3x3nA8dyjnD1QCLQoHZWqCbxRXziRKiBnrXRWX7etyFB9hrTdh7YMj0Z5KxCYX+5EIHFIs6IpHHXTdQshnxmFPJ4m9cm76SZTo9Ve3Ll4vItXbe0ec4eUdJ1uKWmriJusBadPXyJNabZRzFrSY5XKbT5RGRmem5J7m88Vma+FDRFdxDkrT6uIFlu6OiVtbn2K8AMbyj1d9juWovviOIL6TpPb4NHsd3JW5JaVjksVTc55LZhsBc8aA0NRXjArwgxnc0zA9do6TeyI6GIpkqCpyNcEWgqBUNcHr+h+Mkuu+gYVZf4BOqts13T7oj1bm6MiUGTfgudg8yOKw/004vE0YD52oIMHmeWRBsDUkNpmd2Hv6846z/0sGyYA2X7tQKb0DKML6/5tSPYmoarJDgD4mXR76TQx4kjAwkjk8f64Q3C5eZoGzkiesWTX2DpT8m0/54JWvK3MIS00ljWps7YLtzgUrwr42udq9nbbJLwmQlkASzRbsB/WnnDk0hJ6wL7/6XPbsgjqszOk+9M9glIBed1AqSa0InC1OFp/1OmcXC2vcPkeNtbUGfuknjWV2l+Rd4Yq33pN4LqnYqJq69yiojoVlKiN70VLTybrm9WCdqV7Y8NY4aj0bzIqax0rVPTPs9H+7IxgNBpsfVUhJxV9Udql90rFX8RhkqC+uLnD2+kKH6Y9ptn0MApAidZkE1pYcdXT0go3re3k+0tv0ztsxUmof7Iwm3o4Ny0OvWedkHnQz+SFIGeHXICpEFJycCwYvBajYmAc8oCnMuBYenyz3GEuHo9pwDkHPE495mMHd9ReVs5yKcZlBcrK0qntJjVOIakaL2j05SamwwZGkNLPKyhRtQfKtie3ttPFvM6DLBfjdLF1ewfZj5C8BgVcVuRLGEh3oxagrs2ujQiuD8g7j7jzyCNjulMtGX9W9kDurRDh1msPB+1rXSIh7TTBCUe917gDwJrQzC96VEq3imCuRakSFJ2rQpFpgLWksNoPBULvrxF3viV7VNuWjL7aEsqkwlPVLWS+VSqwP2pSHa8YwKB9pKcMd61nPy2M/+HhZ3gXr3BOAUMX1eYqOnCBCjiJxuAQYN57TDm06y+9XhOK2hu5qTL5Ns/IqfL38ScDcjC1+eqTK0AagOVaF/v9/R4SGSEI0kjtfXJH63NIBImMvBPMRSnnepBoOwBgtdpcwF1uooi7YUYpjMNxMOE3jdNTcpCFQYvaRDmz9ymd3kdtl9Bnp2g7oCh0OLAxFnTvnW80vuWomhlt7sOKIx21PWD1VVcWgD/DYid1YpleBmVBZFPszkbxDoTUE/LyAznmD7x+f7qyqWKuKGjSoN0xmmoysKKdKUNOWu2m6ysNQFKCnM9r4kgE2g2KQgS/CgItUYOW/aB2EPdHtYPoO8huUBrvnIBl7Q+mOYLOCyACfzBkzgJ6MjSBgHW3qH/3nZq8B7d+3QLJLb2uJuz1PvlpAp8WpGc7zHcDSqCmBOoePSYM+Co6HGYVtEmZNQEwZbS4eOSzA50d+neu9VCo2JIujNorA6uqpYGaHVKlKlPM4NOy2okAhkJmRTUGQ7aK9cFtnmEVEgoHRu3/9ceAPADLM4c8FuxffsAfXr3Di3DEy/AExjW+s9lce3EkKtXUnwjdvfVWmCiSEJD23irVSvt2UwKSCgmJYxRSBFeDvE/mXRL4yao6hgAAsN4WrDSJSi+33uP2qmhSnW9WyRZHwNCBcA3KAfhYP3BzAVIUJSNa6Zz1+1lZDeQc0JsheDT0vyar3mmSUIMwIsg0K7LlYMkJ1gSj6xRhzosyDAx1RhWFko1tzjbwq4duKWrJZVZSVeW8JTifJjm1L9P7RnVF7fGdFk3AgwfYt96e6g9IGUBkLMnjsPT4sOxRhHBKHZbi8LuHW5zPHeJjB3/vN31CWtnluAZHrX8lq4UBJ8CfigkNmUVW7VNNeaUkY5Ok1FfKIFJ0iM9REQFSYbPck94TAxBGWghP3R7noUfvtDf4OszYY8Gx9HiIg9KsU4dYHJY5aKK+8XusiFVFVRqbZfuS+h+6CGgv5ynaHC9juCiu8JJWoS2zvpElriwaAAIN2olI91PqIPMCzDNAxo6QDSWUSJNXr1oJFNP6/AFgHEC7Ub/vlaovwdg0c9R93FTIBTAKtSUpYs+pahdY3y5Ni54jlQ4fPMCdFmXmRcfkB/biFtg/nkHTooJWJjKFufZBdnpWnGZgmvR+KgW/Nv8Yg+OCbr390xgPGvC6WQPbpTAcFTzrzvjj/beYS8C38y3u44g391eIHwf4R4fu3lTPj2vwSqVS/TSQ0cRCe7HcUqyAp8FhCQwyIUWp0R5rYFfvhY2RVO3TOOqc41mtV0rHyMFDWPua/KPqMxyWK8AJwtWCrtezcOcXnFKHx6VHyg5LUk0IWVSBc+2zsnme9AypPbgoBeIcnOOmjQEAbs66x8MSqyq6RgQ3Jbhj1PloZ3fedci7Dv5xAj+eIPCQve2p1ktNPyA81Xo3HWvyaXEHytrDxecIRmrCbbQotZmOZ73+673GJsxAb1ZEYvRkS+RpzmvB/tlNO2ewxMZYI5vv0gfk5zuk0aF7jOjfLCiDRx48qjURMtAdZlBU6mg2OmqjtGZtls2Daly4pTRLnVb42OwxdX1URf3S6blPSa14wNqjXTq+YJGEcxW8g7ZYdQm7foHnjPu8w6n0+Jh2uI87/O2Hl3h6HJWSbBohbqZG1wWA/p7Qf1ytFJsKtP/+uV7XGWVLHgdvqqwFcIR40zXWWS1qhZO0REF7SQluVkp4GTxiELw7B3AoWJ453PYTAhX0lPD1fIe//Pg5UmHsgyKg9/d7+O869B9JrXYATM/I/Hu1MFCTreIEadDrKR4r+2IpKEE1MgqoFaCU8URwS0H/Ua0eq2ZG3gfkTu2T3JzV4/txApYINhtBCU6FFomsWI12fpfBQ657pNwBv7KxzEB3ynBTQdo5PP1iRHFKNQYB4ejglr4xAZcbwuGnqi8xvmF4S1wBmK2UxqHP/lpR0/NnHaZnrOjsUR0fjj9i5AGYnxGWG6+I7m/Vkq2/J6SR1CJttAJIFESvP196tN7ZcPDoHtyaMBZNkivjsLIC3FmZDnHPSAPh+AVjeiEIB2D3nf7c6TMHfOZw85uE8XcnpL0DZQd/JPy///Uf4r8ff45nzw54ff2Eh3nAowxIyfbaAvDJgWfCeejxeD1ocniTUXq1wHILYXgL7N5kFK906BLUCigPgsPPgKdfELp7wvWXBX4SDO8jKBW8//MRpy80zun/ZoB4QbwSpL20NpYUNYHMA4EnQhHG8jJhea2JPjKBArDbzQguW+i3xgovd0f8b1/8LQ65x3/xqz/H6TwiRocUGMviwU9e+10ftfgy3ykzz00GTrWirIlPsSae/qRM1dPnQArqjz69YvTvgf2bDGHNfZp4lp0bvABsYlqUGcMHwfChqPjcueD8WcDHP1ZWwfVXBeG07h/zNeu4xv9ISW5DbZ27CK6a3Qrz5c82xFQDJ0rqOdp+rsglOrX53WZLVJGK7etT5K62Eppgi763oZjh8jC4+H37W2rVWGT15hO5DJ63FePt35+gNlVZTqsXhBK5KZrlrBWVlBwkkxorT07940xyexXrQAuipQbT9WsFzWxeW+0M0dwiEqyfjzaG2KC3sqLgovegyLCiaC5UBUjS67Sdr/YUa8+ljV09xYpWYS4EG6zauxUA4A1NsI2foYUkgGwgrWqdoaikbfL1kcjmWQPr/W/tJrbzpKJKWwSgVZ0MUfr0JeXy+db5Wq+B1z45bKyCmnVQ5Tv9u14tof6EStlQYg3s2tuI1DjIfr/e4+U8b6yFimBX5A9Y0UB7P7H3vEBGPn01xHqdi5QAZMKyOJyDx2McmldozA7THJBmD1qMkpy1CtySXWMZC6HNv3X9rMhoE3H63j3/wLV++nxZv8a5GOJY9wk9UNRCC7ouCyMV1yxWihCmHNTr0QThZLMGGyq3me/0941fG8fNbfzAz24LOMpg+ZQ9g3V9A5fMgvZj8g9Ou09/54LpsPmcJlq2vb72fV6LNPXf9ZqKFQYr2vuphZcl08SKrG1pw1s68VZ06weLNH/fffnNev60qPlD7IVtcbCsc7zOyRIZp9jhIQ6t7eTdssfjMiDNXhPMxfZQU/Vsc3mzB9Z+S5170oodKpZlCT3B2hfqev3hZ6b3UJ9LPSfWHnUym7Fq9UCRbLsnVPJAElXCVWsj+ztrS0FjK/x7vJolH1WmRz2f6PKM3+z/ZLT9pji+vb/6vOuzd2jn2fZV2UEGtbdzgTZJ7vfmTDu7y8X3xDEoGB0/CRiGlOZNMcqQdrJiY7uiT0Xc6llVY4qL89aeuSXc5LntHZ9aG5Kh4heMnWJvxOv4tFjlImZBmwsQ6Nloz6OidFUxm6POj5wcYnI4xB7v0g2mEnDMPY6pw7x4yNmhWqdQWouWWsAQE8r6dG6gJbMEW1Mt5tB7k8oSslhMNrFkLY7oe+m8borLS/08uy/oWi0kWJLDEhyitc9Es2NMhbEUBybRM6Gs+3ljW7Sxx8pmaPejc/dibRRd7yyC1q5l114Ll7ACxwULqMjmGdmaKQI4i38sPqL6zAEdG66CcOvLRX3OlfG3tYVSRWcypWU0EafaFw2LD6s3ebXGE67IolKqK7vqYoys3UI8kK2YJ9ZOV8XUiv1sMTHS0lkP+OYZiyOLI/U+3AzIRrMANnfanHCbz0iaTGnLIFqSBHM9afNvVn2K867DU0iYo19jWNY9pLJOJDEezgPmxaOJaBFM+ZgaagkDWsQDEtZxq/Zz1S4IpMWT3BdNaG3e0jYPqtufjStHY1kMAPcZJToF9gQoRee5M2aOI7X0Gpy2F5xKt96XEJbkvzffdT5BfXLTeq1tDGizJuyPeIF4GwNb69qPrs+P6v3XeWjCbO7MoGh5A686TXWerl83sVWbUyWsock/9Pr9k9w5Av1ekaVp1ko+E2jogW0wlDJg1GLa7VBRX1ms/2tv7zEr6iqnSZPmLqhoQaXe2GKmKl61HxWZrBteFedISwsG10qpjYrXzUPRr4BG9dtSVkVajxmbqJYKEzn9+mR9D7wmxWATYTEarpt1xviTtEUHAcSS2mJetCUx6DFoJWVW6F77EPX34402bXO4PCyqIll3yK0vBABK75rPGmXXquYcTZigQJHNIpDerJ+yVlTUc1WTNLeoUIYwa59QMsqCJ9yfR3zdKWrxrbtRk/XUY05KTRUAtDD8QSs/lW/fPemGpRsnNeZr67OqY0nUfF3Fs1Wv9XBnQ5s5Fav8a7WPrTcF5h2nm8xKVUSzEnKgKqBTpLEOatX9IpCqLylAklUMzfv16y2gJxVXG0cgJZTjSSmcXdCfb/RRgYgxHSqaVAtETIryikCK0jwlmgJ2VagVQ36ZFKlwm+QBWFe/9dG2V/4kQf+U4jovaKhb/b4hhMiamCCswnH1AK6bbzhqoti9d4hxxId9h2kJGjBnDZTLux7+pNVPf7qsxNYgqyl+ZoE/WeATzapkNmRUpAX+lcZL2ei7FSGvz11kVdQNvjEFABitU1AmnZ+5twSEAWJBFsKUPXaGoEXhlrBXr+qSGD6uSufb17YN4Af9KwVo2QWwBikWCFX7p/q1lkBfJJYaCFIRnTvG1mhJQbN/qgVFWlkG2/kCKHoFrKI90Zgq9f3qvKgor2MgGnI79sqCOE2Qp4NaxwW37rE2z+VwBIWgooXAKh40L2qjFX17b+m79RypCW5Tyrbr7jsUs3Jr91LFpWICFoF0AeWqV1TLmD1EeU0cUta50QUNLjYBdbUl8gwIefiTBpP8tsNX5Tl+657hX/mf6Phlmw9vO6XK1d6mTbHGz0YDbImtBfYC68fTn3MxN6okNT0C1uuponrGDil9aO0dtWWjqlSXoL2WLgJyVrsPXsjWhSYCBMA5Hbslq2d1TE4LU1NAiaxshZqg1/nSPsOBxqDiYtZW1BJ0xprkQdrcBlnwWgWorP85j/rs/DHpvYrYcyHQnC2A1PlIlTdeC5xEalNFpJoaVUQtTpBNr6L0oSHGTbMgeY0rRQyJBWTsIKPaCvn7My4YQMFDdraOrPgq3QgwwJOxZroAuR4bC6HZGFYWgs2tKprI06LMhs5cImJB+HACSkG626EMTq2Hztp6lXfd+vsbyroQ9L42/Z3unOCe5pYAqwWIjsn0eofl1phVSa1mxm8VeZrmAfc3AX956nGMPcgEt84pYP4wInx0rTDIkRCOMHqx7WGxJjGk4jVF7USaz3Vak1uOgvCUVKk7cItl6rNyUam9eVAqvPj13FAdBLTC0vyMMD9XX+0yAhAtWk7JYzGhz0AFz8dTm/NzMo0J1kB62VML/DkKhntB95iRdozlSp+hP+s11aCeRJBGjUm6Rz3X085ZQqn7b+4Jp886cBaMbxe4YwQvGUHEGAomNEca30ivoqxrwcbmka2/fNWB5wT/OAFp1ZAY3i0oL3rMz/V3/VSFvfS8i3tqtNTK0OjuFUG7+l1B/5Dx+DOP82t7tgd93w9/phoH3b2KDVXxoTrHOdW9QZPXp58E6+XVr/Uf9FpyR5ieMdIOWG4LxAHDG1YNjkXUI7ol/8D+uwReBPOtW8WOrKe3GBCzeyPYfyuteNgovgGY7hi527ffxUJImYAIzF9e4U26RrrK4JsIYkE/RogAswApMOjg8fThGSgDnenjqK2d9iIDThmPt4LSCdK+QIKge+vQf9R5evxce9SXfQ/OwPm1QF4siEcPKg4oQHhie76aQIcjML4vSlkOahd5HouSZVl0XiXG8WEAOUE3RISQ8cXNI/7o5h1+e7rD//1/+k9RCsO5guFqwTJ5HA87IBKcWPFi0CQ8XQnSTUHpqMVKxeuc40XPNe3bV72hfKv70e6XDte/TdYTreeQm3XP12sH4jUQrwu6R8azf60J9vyMMN+pNoo/O+R+pS8v14Q0cjs/c19bKfDv9fr9hadqr4x3q99iDY6ZW2BX+65oE3hLjE1VmSy4an1SFuAjEdR+prReqob+1mB2G8gbUrVVVoSzskGrhH5iL2JV/oqU6GeUlujKNGlC0odWGV6Rr03gx/r7jSq9QUOl0o4Lac9iJq26LA5IZJx0VS7zZw1+3IKNyEQriq8VFFoPhopyCVnFDNDrsB6HRu1LTvvV5mxJgNqvIFmvm1/HsqJqrfJf/2TCkhxOqUMqDpNTZGsx9eXVXJ4aklsb7dtjqpXMLRzHm0ropmoNtBNzFZzJ0oKo9jsVmd0GYZ6BrFUgirLOTaKWcGqhoqzP9QcnuiLfqIFlFaFqaKZYr7Zr9inIGVLFmQKtPbdsiK5sB0RR1iZmVucUoO8DAEXnPRXoutnQ+7fIdOu35E92gi16sWVYAKhqz99Dn+vvbef8p6hpTXaTBgLurGsgMTDVXrWsfZr+xPBHRW8r/d7NsIq5tLmrv4S1st/Q0g1az2RVbQahKKpTr8nxin5c3DeMls4NPWETNdI1RBdBfC6MLLwyFzaV/yykc32rOLv5qIu5/D1kUNaWbax0+/arG/pge5/NdvNDSJQ460Wve+ymgIGyovi0LT7WOdfGh1ekvygtH8CFl277/FJMKAg6n6t431Qp8YIqyPfpni+kyNd2PoklEIJk1+QtiLOCxKeoaw0Ca5ISzXpkyyBKURkMQ0DpPJgyaGGsiuKb+xFbwzaWABpaVvvhFOGyAOxMKAc9Qi+A1aL7eU1wW/+RFSia5Q6TeimLtH2yohcOa+8TiJTNQtTmTEvwK+PIb6xECC2Raf3ypPfIGeBN5b6hiKbiXYR0vgut6G4m7cfN1O5jOx8rOtFEa6xIdPEyEPr7fbTrc13VfW09GeKpz4XX+xZDFzafcaGsXZHV7T6VElA2NH5vz5nQEgUi6N5dSptzTbAuZuA4XzKFgjfLodLONglW8IlZP98xpA96BrfEv65vavff+i2ru4OhfxphL5bAjpr4lgKekomhaW+l9q7rvF7RGHv+Xu/TAaCY9Z7sXGzWiWSF9FSVl6W1iKSdxmAxdHi738OxwLuMJalq8oVKctL9vLZS1Z68hhZWBAu1kCOrxUyGFrFrsTqYojoBgNmOZVEVA7ECRX2GWNdZMAXWNCpKRAE6Z0SRLrFkN9sEGlwEQzBnv27fdnRWr+KKXFXfY3Ee2POmNUUnfbF5WWrvZdJ4hAZWlkKdO4aclwwUx3AWL8JUvpuSep1Dztn6KhrHQFWihQDpvVKjI120gwCAmxOyA1KvRS6edZ24qFOx9sLWvkshjTt5Ud/icEig4i0RlpYcL3cFeVdA0SMcNL7L1kPqpnpei61VTYQqmqkuHpqc1qJeCYAE0QJRWvuBeb0VFSM7ZPizFhnEESTD9k5pVPhwVtpr9VevTh0kSpOu6tBV7K8m+P6orXWAQ95lUCjwXhf24gskEfikqs6V2SN2TMGKImmniWK8EkgQyFAAFnD2CEfts81Xmt7wFVnSpr202VVLIzR2W/EAvDIk/KRzzE1ohYq6vdV7wKIodfK6TzkuuPMnfCnPEO+tpfP5hBCS6kVMvLJhCK33WRXWKxhV92e0vEP/bQJ1HoBTVqU7C/r3EanvkU1IjiessYshxGUowCNj/KAth+dXTseM1/ylqjtXKr1bRFOET8+Wf+D1+/fk7vpVQKoLoKurNXARAZ21Og/vm92QnKc1ufBekS3rEaPay9J1QGeIVj0ErQ9S0VJFfWm2/peaJFeVR2bAFMRaj059md1QS8BzAaZZNxnvLul4ItYLTNqPWKvFu0FRoiXqz/bW+7NBuCqyGs4FnAj9RwYVByEHUNC418EqqrRWNo1iUjz0AIsKPrNRgYrT6pgQEHdsvHdLdguagFOjuQnQPFNNeRdexWjEcwsSS602R/Wyi1cOcdT+jdzr9XACZCHMi4pknaPHHAMcF+z6BSKEKZoX15gxvdBgLxx0ls832ivjlgI36R9/2Co+w1C6NXGgomqc1S5Iff/QKkxNYIsZEmCCPLIuXob2WNf+Wejv0jBcJpY1IN9SzOwlMULViZypIDtcZEOAzu1kAXopoL5XirL1StKnic725RwodDr/q8jU5n0beuXN9oJICy81+bwQCNok3hWBrffVkvNymQTVtQOna7WOSTI0ORe977KhSUPHmqNWEv2sO2D3pMGSOzmkw6D7W9JNWRVeLRm2Io4KhlCj5YkFQ7m3yn/WaiBngnCA2znwXOBP1k/vCALW4o2tb5RVZbatcSvIVcSjAIAQ3CQQKgCxzT/C8uSRI+EpDBAhMESFV4pD7xI8FxyWDjEzyAlKLxqwWA9+SyyModDQNQA11KHZ/LV7j2yCMJWG3ZTEazuByAbRpXWv+TRRqyrGzGsS0BJdgdpflYvfkRIv36OiVVuEt+6BvjZjGoPCCoRtngKAd+Cr/VqA3FwnMWuC+ynLp4pa1Xm6KU7Qdo57BxkCmkesyGoh9WmBqqJ7MYHmBMesSdPG1mib7BJlYDK20YbVI0SAF9NFKOgfC/ykegEcHcQLsvkdsqGdqhyq/U3+LC0JEILZb5hVi1sTPxLtgeJkfstsCXEtiti8VWSrW3tSAWXmbK5XAitLx9gP4rQaXvto3aRib6UDCgNp9jgDiMnhNHdg0kSGSRAtYKroaWU8ACoAAoOCueNVNR+AmMuAOyXt1w4OpdeQoyKYbT5XNoNUiyj9GV60b1b70dfkvvkhG+oqALaCkvohytwgwOKMdX6UivTXsQV0rZloFnrrNY8ZdIqttUrvS10iyqDJhe5tOqd4MqZURXqDJifSMdJe0TwwwdX5xYAUm28CkPSt192dkp6FV6PWInrXihbVn5yzBvOld9biIc1iBtCz0R9jK/5eWOltYiJ/TBgYyIMilMWRCZVpQoInAorHx3yLatGDooX52hvZKPdGLa3ofQmAGIJXA9dkSrnyYEliE9UixOsAKt6EyixZ6ZVt5nJu+7q+n4poiSNQ4Ua7jWPtoYUF2mwggaBzGVMO+Or0TMeINGFcss59QAPx3Ot1QjTeAgB/ZrjFAwXYvYmWKIkpUltRgWH3TYg730AJNxegZyRLnLfiY3nw6363sf8rg8YspXNaQEk1OTNaO4DSe5SOkRAgvFdbm7/V6338gz1cx4Y0o/UPO2OTVPEkiYbRzED3KK04l3tn+xmB7Nk1sdMWXwPSabKsa4ta0qzxqOoY1N8FKZtkuXboHgXP/iZiuVZkOHeC8KQaHDmYZZBTUTESQho6eEuix3cFaWQcvtD9x5/0usXps4+jClBVoSOXBcsdIV5Jiy1LJyi7AoSCyEC6IpR9Rr9bmudzzgw8BoQn1j7bV1mL4ZaAl1F7mNMVYUmK1ouXVthDUW/3uNf5GA46H6p41u5rRn6/a/Tq6jGMYmvHtHMOn/uW4LkZGL51yA+DPgbROKq8WtSLOhNiVl2UQ+7xvD/i53/4BrPN8ZQZcnboHhl5EOTbrNtfUL92CODvHfxZ0fttm00TMRsVseZIuPlXPdyi6Pz5dYflRucDiZ53VPRs8ydB/0HBtuIEh88dqmNKVecuAeBZ50AtJgBotHh/1t7uvHwSQ/89r98fye26hmyptQWvwUUpkGmCTDPo5hrSd0oTPam4A13tQd5D5hkyL813EaWsSWNMoFi9dgs0CHconYc72Xt3QZNfJoB1U1CK8iZR3Sa5jd5kX4smfFVEE3VL2KULmrhkS5rmRQ+d3aAUpvMCnM5GoV6r/7WXSnt4jM4SCd2DUhp1Y9acqYolqHXEuvhAulkAK+LFURdx7nQDrZtF8azVS2fqjBsFy8t+1c09VxNxs4cRxyboIOApa8+Z75BGaubPtXrESZCixzl6PD7tkJ4CaMjArR4YMTqUzKC+ID1LKEfXqr1xr9c+3JNaGk0JbFYHZdzQGjfjoNVB83fbBRMssQqvrAGPEIDg7JC9DKLKoAcTZfWTU0GRToenHppm4XPRH1yHb4n/M3v/0mNNkm0HYmubmbufR0R8j8ysrMd91X2hIYqQyCZBNAFBDQL6CxppoomgMScCBxqwJ5z0X2jNNNZYE0EtQhKaLVIQ0ATYfXlZt6puPbIy83tExHm4u5ltDdbeZn4is4oXqguNyoFAfF/EiXPc7bFt773WXpv0yxhboEsREreWtj43fUxlGqGFewDrCh0GiPdqbO2FPBAfyWbw4GVLbTWaqcRAtfHt3wGdPufBjKGxWvg6sfluY9sC7dqTSI6KS+gU6DUzQeXBUcFtPagwCAtrNYcjIAFNWECToDwLWr1tMYpaU0hmhnm94x6IM9dWaysRgDVYWwnL8LJfn2A4916U7Rk3CaZvBDw+3rlASoKiMhhVMRVankhqYnnpJCg1YjkknEPFmEYcBybSdjEja8AzRtQaIJE96uoSLUCXtu+8Ncd2LQM03GwLs7ZyAQC91s8KX1rtl6MuQKMhqnz7c7Md1nZdbtSWN8FuS4ZshadeBJgtKeJ0+nFkxm0baLf+zizv0BiA457Ps03mWCLqpowFMAaBMhCZxtbCzR15BJ83lhuQnq5dFGvby3nLrvF5zybQFYTBiu8XS+A0Krb3Rt8mt8aBrcXMJkiuGD9mq6MaEDIDVjmiBbeuYxAyD+rxsTZFXI2CeW+UK6+RC2hCglPlhDcUzs+SbWsgU5elmrGdZd4OKRLBrGFocxiWajRKChlJMbRN0EoN6hywakLJAUtMGMeMV8cLVCvmgTVqTbQ1WAJWWZvH4D0gDGwlMmTOWbE+m2nJCI9n1LsDsON9eWKytR6yukRVAVbaYFlMJGyYGBwrENZCm7Ms7Xm5DmtfK7Ag0NP+IUBSgmwF2Wxsvfb5JpFiY1zHiLhk9pf29WLCaHVkANtavKykj8vVAkoLcNUQdleMLYOrTcdmB2DbwoMa1uMq4mUl6rQf+H3ozLjmw2QFEpB3EXV09NDorjOZSuHjGbKs0OOeZyzMnlgyWQDEC8uX5jiyl+jGjgXXBsmCuMQbqmBY7KyraEr4rp5cYUidCRZt113e8z3CLBjOggptaHi25MjwmBGvheJYQ4QERbqU7huACaF4LW1cNAHLXUC2/UWklSr9KgEiiillzCXhy3KHIRS8Hi9IoWLJCYuJDemgqJvArew4WeuRge74VLH74syg/NXORHV6YN3Mj6Gb6WLiX4NYGYrRso1lViaKVPWElgVY09AZDpGtbeA1/Ova9jhtS0CZRpSln32n7wYczsLesRMpxXGxxBtgc6MI0tkduw8UdwToq1H1HZ35YdtqW/uPYMFyIBurFtwwWcbnCk/01Qg8/yBieQ2Mj8Dh37/H+PaIyydHlJ1gfOb91WS+5wQsDzYeo1jrzIrDr1acvjvi8h3e0/6XgqEoQaDIv53f0D7tvuSYrUdg/m6mJsglQAeFHDJiqqhjgVbBMGUcdktH/EtAeg6Y3guunynk7QKt1M8BgLDLiLEvyloFOke4IJQn7l20azh1P18UOP6SyHPdsFi8Blkjxc2We8HlMxMwfOb5svvK5iKy1dDyGlh/UDCOGdfTCF0DLuuASxnxdjzjz7/7KzyVHf5vv/wTvH86IFwDhifuz/GBWYgljcASMLyPGB7ZEnH8aKKfl0pq8QOFxcoIrK8qpq8jPvv/XJGeZjz/8A7XNwHrnbTEEIT2Y3hiC8jDFyumXz7j/AcP+NU/GFAHtgxKV0u6ROZPhlNn8AF9TOJM0KusvR/0b7p++5pc4Jv9EbdXiJBhk6EHrE2E/7HVMW6pzkBvrg6g9SL1TH+tzeGTLS06kNYBACEX4DrfOmPubL7sP9poIXYvpigrV1Oz3Tp8Tp0rPJnkyN69yMww6n60mr/u6KKaMbb+s2IUC1WnbHQD0tpTCBCUr1/vSCVyKqXXOVAEQRAD6ZaU0ken1i2lO52WfGh0sY3DogIaTlMkpRETC0qEQgSWodTC+1guEZdpREwF4XVlA3iADbFNKfomrxD9bz0rpF023xQzG0XQhD1aD1ibKxFhH1xB6/l3c6kCK4jWVGWtgr3PVqSDVDZDcEplAKrKurfNuvwGJdSvugkM7f/8Gxtjr2P04EOYTJAWRP+a922BGHqgYa8VR24399D+xj6nibFtxX4A0pet9t0/Q41JISJM0mxo6m0sHdUIApHUg+8NPVoKExVSI+rEXn78GGYvveYwzrgBvr0OMTjVVbimGTz02ljfL2yroewrZ3Vczt3vIk9drKOjQz4mG+ejVghCp71UCyyl91x0gYe8sp3AZRnwMe0xxYyH8YpcA0UdYkWIijpWe34eUnlHT8ATS41mXYnI0glHq4ENc6/JbmOk/ZmI7oYe1LiTGl/Mm9vKbULDHNm26hyxFw98N59ZLZHo2gdtzDpTxoPNprzdSkysBdh2jbQkUEehZZqaHfd7dkSOLZLQgk1ZMyn/bqfXjOBMCQ9y3f63PVP752/74L5k9Ijc1hr7fd+Mp9d8A06XD4VJkXSpqNH6jZqAWbrobda7oCU+PHlTRkNQI53yRuOrppQfFHkRhIWRT5yNqVCsZ6hQiOMbtdlGa4SJtcS5mFBHTyqI2llhLApZzbao9EdXQc4B53mkNlGxhJ7Y/VogDvDZqqF9XjfP+b7d7zfMApEmKMPXqn8szydnMwyGHA/xZj15n+UuWqm3/oe3OdusB80Zmvt5EZYCiUOPLh399E4Ofn66MJMIMHa/wRMMrlzc+rJL90P8vsPC1krDKSKMgnjpQURjMEUBIqDet9LavbH14cK9UAfoEEx5d3P2VVj/VBNmeXHG6Mjkcd0l1CkxYdKSrICCNdWe5B6eTck0dV+jJu8S0cVf1JMk2hPxYj5LFa5xjUC+Yw2erILk1OZKx9frXtPsaDC7LbjWg1pg39qw2fy7yJTTfkWBdKGyrd7HVteeTgwuyp73ua4J53XAGEtj5HDrKz47PmPeJfxCBRdlLS9V5mG0Wa7BpjxtZWB1NFp1NR/PEGyNTMr6PqH6tCV5FahTYPXTUpsD//LqLTE7/V6joEoADmNj+sRraWdH3dg49zW9lK0O3H/LvbV+GYGa2NJGrAxgfghkYi2Aa1ZM79HunbTVQHS9Wo1pAcYPMCQera2NJ6g5PrC2fwxU4oUI7enP3pLZMqKtOzKiFNNHBlOoAvbcRmtrdP1kQN6TTeBrUQPrjNc7UpU5YFyvVWyNnSLrSq9WM3yd+EyDAlGxpoT3z0aVVABZcPeeCuF5L7ie+WbhTARZhwoZVqznEXKJ0KiAtfKRxXoDX6XvEZvSOtDfXPdgct1tU4GVIKI9Rxu/gtZxwhNkZWc9jQfF4TDjMK5Yl4RcBed5wL9//BT7tOKr6Q5LJZJbS4C+WXE6mF0+D22sEJ0Rau8/eVKT/sd6L1iPgA5APFNcMR8jNOwYpLtpszNN7JnzUVBHgZQBUo9Y7+zsRB8b0qRpF8rIec17zn28EiSpA21Mmf9m4evfSpCLy9VaAG2ojoMJRaQIxF13alTpiEkwtUgwez/Q+MLEderzCVhXyP095MDDqLUSyqU7ON7mxKhxOljtxrygPj7xcIikM8vDvYkUmbGc1yZ8hRhJpTvuoVNC+HiCPj0RiSsF4mJD/vdrBoaEcr8DiiK+fwLWjHqYWluA3seNsz4+C9IsLbsJ7UXz7Atmm3BVQGggqwDzW8X6qtCvCAqYVD9VyQKqIWDpiqYCKWshQpoLdDdAxwTv18ebshohQ6FDrsC1AlF4/ykgXUmPY71iN1Z1BObHhIvs8PDJCX/y9it8XPb44vEeOQeUzJ6K8HYTZrhcZdHrcMJcoGPA/MkOULYEkqwIzwvkOqMJHVkCwh0GrYowZ4QLqeKtVYLXF3mgY0EYM2oeFIgpyEQK5pQKPV+4DsqxO+BDgrxM3KhyLQTpAak7Ex6clELUF2gOj8QAiWN3ogOAjY/ifXLVRJ+IEustguvOuH+OoRJae5Drn+miWC3oXWydu2Db9trtSPXf7C+52LqpFdDKANdbHjUVdAvYrgtCVQTbF0Q/IvKOB0CNzFqnMzO5611oB1ictbEVNHRjWiejfxZYQ3JL7kRBulRjRliQ6AHatp5NuhBTExLzAMocUw2wwL4fHn4PpOgxgMYckMOAZ7A+99X+iu/tH4EIfBxII9ztF1wBZBXkq0AHZsxrdCRWEK8FyQSDwpnIUD3uUI8J4ZoRn65ACKiHkWtUAUCbIA1tlLB+19Ast6VuzzRKp7tv10SMaH1qS2EP8hQ5vzk3VInrir+Ho1ROSbb1L9eFY5oidEx09q/X2yAjpFt774GwMXR0HHqpB9Du10XhWo/RWoGLvbclOKUsFP3zZwGA3YQmHOeJGUeH/drSTYPVXbuomu8pp/sGuUFN62ioW6lw8SMJFdNHQbo686A7uS7gwmAfrbffeqDdzwdP6PDAdrE1Ki4LSnZUJSBdgTiHJsLnTm/YBFj8gSGKJqoWlgJ5vAApIr/atTXl7TeCSVbk/Sb9EaxFTlUUjTid7T2t5lyjUv20CsF8e846COS5sqTEA2+AyQB7plYq0oK6wDyL9dZtwbgyAEUQ1N3QkUuglTM0kb01Q+qLtV71tq2fIfSYZ0B74jyeV+BuQh3Y07H1st2ZDVwLA9daWwK9BcBrhtS1J148gRIDdDfxzNol1DGSrfQ8Q0PABECTUDjP+pyzpj0g33HfVwTWEIq1SVsy5MMTn/n+SKr+WlimpQOgI1hPyCLLfDciHwKCs0AA6H6A7tkLNe8i4lyRPKFtfkDdReQDqanHXy5QEZQdUejlzoUnySRz34TfcZO45/p2USOu8fmzjPGTK/IacT1RWX/6MiKtRP/miYyfdC3ACowfFoQlI99PpPtWIv9bpBMmvKRBUEyMa3o3QwU4fz6g7AXppNi9Jwq2PgCowDInfIx7vD5c8GY6Iwhb/Iwh43/6+q9xiAv+1fBH+FF8i1PYIz+zDWK8otFTXVm4TgmahL5bEkwfC9Ilo8ZgtYwB5Uh7Er21Y1WkK8sHlntrF/Q1xRS9fZZYyQHrlGn/uY3Mnky0R8XWapwLhseFtmqK9OV8na9qDEDzKScG/fnAAGK9V9SdQk3Ztw4MWkUZ1MWrYHyuOPxy7XooqpD/nsnMX/zjPc5/54r01xM+/39VlFHw1f9EkB8qpHDs2Ne0r59Q1CiwypZFv5daokSqJ7gF41PF9GFFGQOWh9gShC6YdX0bmTx6uk0ozq8F6wMD93Tmz/OO+yHOwPRVYMJmZiJ7+kCE8vJZwHJvSQEnfVjC++6vK6YPGRoH5GMiS+eJQfL5LiAeFeUx4fCzgPVeMX+f2Z94DkhXUn6HZ202mD1jGdCVkUF5nJV6PFWRThQdnF+PWO+J1LJXrbVTXA3NV8VVItY7nil/9OY9HoYrTvOIc5lwedrhrz7sEcaCaU+7uMwDtAI//L0v8fff/hT/zZd/hJ//d58zoH2TIWOB5AHpzPtbTXyNyKzg8h3F+lCRTkS34xU4f5oaaNXUriM1TpyqPr+hX5cPAetxQhktebR2qnk+CPKeB8J6x/Py/F2u0fE9BcnCIhhOgjJv/JbfcP32Qa47QNVOPeNrt6PJnbCN49Ac/Ri7E7XJRjf0C8CN2qvX4zSaXQ9m2u+2dTm1Mtg2ium3qpu2x9g68P5D0lvaYdnocLhx4LaiMWLqkiLSHXDAVAbNoQkATCbcKTrsHWvOlwUHlFQnXQFBWReWKkV8PMBNsDoEmMiEiff44e/P8+I+22WoVhORMUMGVEiJ8NYqwXxhiVyAYRHUOVif39DaB3EQgMazVM8+WoDp9DzLhFYXFNF+nw3B9b61m3H3Gpib9gmeQfcrCG56NG+fvdqbbNH5GLlOfF7dYXyJ6gC4YQG8vMQy6FuECkDrG33zPtJ/55dyENq6aevvWxBc//d2TRtdT80Zv3n9C6Gp/pHmOGzHBNggb9+C8G7/3fafo+yCsBLl1IjWNiUYhSpkIqgutLOlP9HxpyGso+0NEcCUKyX3OXHUR7DZg982J04/387li9e1v9V+WEoGQpDeMqtELKviOiSsBgG7OA+HqQJR2x5hkktbjZjL30vY3JN/tt/WxpaKI4eKlq2/udeXz/frnn/7vM4GMKed7bh+w7VFQl/avZfj+G17ZfvzlwmS7Z7d2taGzDpjJ3cK8Rah2r7f9l5eCBC9HBNHmVnnVHvSz17f6KcN5ceNvkFjVoDJSwantMViJSq+lTwpuG294e0TiFZo012A4CWojvZBsvm5J++c7fFtl1PZt3Xg6or0YjmNbtexCGSx0hU/a7yFm6DVptVUoYNA/T3UzoSmpLo544GOyIolX0TgLe56mQbF47oORmcnbJ+ZY2uK0n4+b9F74NYWbuaTYpcRnW8No6orMKDZD922I7JgGkAvx/KxTBEo0tfodk36mcUhRkvCiiWnauhMJZ9Pa9/X2id5j/ft1Wyt/ddp2m4jjO0RSkXI4Za55I9l7BlRZcLMz9zw8nMAAddLVQteHUWyHve+noNINwebNe4osEaeSSEoQlDUqO1nurFx4p/7DdsMe64e1Po8v3xtTRvH086V6gw05jOhOWBZIuYx4VoG1p5X9veca8IQii0lhUQvMzA67+aeAN5Ljf0zGxMBFgymfn81CmS0+Sr+Jv0sw+bvAFBI7uasRatZ7mOj2CaVmjDjZg+mC1rdb3Ax043rEVa0ANefw7uA5L2Y1kBAyEwGhaUyCNRq9f6AnhPivLmvAsDYV72dDCAq9ne2jqKQBBRtXWsXfXSBqpBrt6GbuXTdDmwQxzYePhfBBEd9qNXHCBvmpAlcmYq9Jt671457PS/pxsHoxHyto44yVMRYUXcV6x2pvM788XlhUOsJdfcP0Gjf/tzBbGbZRRQwOC+j3UdbdzYWyqRkNeRTg+Jx3lEYM0dope+CbHZQ1I5Z+o2lBpzKhLWGPmhroB0UbdR7D1qrtUKCcm6DJX9cwdqTutrWkXQhOgEWAfUrBlLJPTnme8JLHXz9uVAd0WAi1etRGDIW+bbucd96/fY1uUMCYr05YJrAjgjb7mzERKQa0iTClhPjALnMRI9SJLVmSAxWhwQsK+q8tHpEiaHX6y4rqaFLgMxG6THEqbV6mUbI3ZE/Azb3wYlurWD83ufF6NfaaiqlBUKJKtLLamnwQlo0wJ+HADnPGC7LDXVMx0QDjMTMM144pEJJca9BWA+CshdcP6GzX3cWwA8VaczQapnChRSj6nVhhYY+rAlhrgjX1Bli64tTM1NASLwuc4gN7U0fL3xNPEIlIVlPleL1k4kKc+mccA5H/GTI7BeqPMzSUEhbqULqbVSKTERgPTi1xASorhXDKRMNn51eHYHjDnU0oRLVRvlCNhRvE4x6j0BHdHVMrOEplTTQjVMuuQDzJgMfAuTh7jZxYmrhW6dIBF10CsA36hrTRAQ257b2wpDMQYrtd/B1uWOxj2arpfPkzFbFdhzMGy72OeZ8bj87WhKnKgC+The2EGgiVY4kO8oN3CLPxsKQPLSfAaBz6Eme/GL9bBMI1r86nFcgZshakIbYDm+n6roDEKfQDwDp2eX5baEaoSVzamFPaVkDwsKsbbHETzSHR0Qg19xLJrycwGmzaezz6pcL2Nk8SlZEVKS5olyiCbcwyZT3AQVAWQNKiig54IvdA0QUT/OE1VqBiaDV5koNTVSoJusnqEBYja1Sue9EFXI1RN7bnqjRUDevo2hc7bWnQ0LrGxlgyE7u87sNIGvtzIJt6ytXW345Ni3gV8h1ZVupII11o47gDwlaTBjQhac2a8Jp9I0d4GfAmonOpsT17QiuCOmZuUAPO+SHHZGsEPhzR1aHbwlu3Z5bMhWQLobV1oVrNoSN+nntAXdVUiP31pJlLVwny8p6xt0APWx/B6SiiMZ8cQcqrCZqpkzoweqsvNdko+PvFGVS6GTtH6JC1oDxY0S8wKiffE/qD2z22+pepNzMM7+bo5wC6t2u7QUsFcNTRjqboOCRfdinD5ZAKhFlF7DeKeqxcA+OpP3eHa8YUsFpGjEfBuRzgspAYa0L93feCaRGohGGWDWUdggo0wRZC+LTzJZwBzJbWG+4WTs+TwARz1ohMwWoGiMAtvcRmw8g4wi9szrwmSVGuht5phmFX0oA3ttSnWeEKbNEyTspACx1AWhPSgHGAfWOLYRkLUAA8v3eUGdttfV+zriwE5W4M5AC8sOODvt5pTCVoae99KBgeJ+Jnr7aIe8jyzNgQdN+4hyOA+d10wLNUTsPPOM5I57IcKomZue09nheEJ8BJKoyN10ABW2gIYxlR2AiLtXQFUaIISvipfZgwwRxINRWKBNaHasm+i5eu1tyQK12k8L1r0KEK50YjMWFwU7ZJ+jIe4/XYol2Iur5QJaZVEWYq9GWaevnT6ZGo04XtqdZ7o0hNBp755SwXiPe5YjrmhBEMaaCFAvezwcMoeDjbPsmKsqhQo1yyr2EVhZW9rGxQgK0jZ1kos6aTcU4KZY7JnfHZ7blqYVlCQCsRSLXe7xm1m/f09awFIjPH3JvqyRVEZ8XyFpQdwPqyJ+FS0bY1J4//IcL8Dqx1vWpYjgxSPJ2O8MTzycvEUpn4PhzjtW7vytYP10RPySMHxPiFdh9TcRtsLZJdz+v2H8VoEFxfUU24vAsiNeI8RFIJ7W2MYJ6Vey/Yl21FIoaAbEpHbea7trXM8Dg8vx5YMBtwen26srXaHXf6WpU1wMTe6P3TraAtyUbq1iyUTC/BebPM4Z3EYeztLI6CPD8/cDWPQe2BtJBsX5OBebXr0+4mxZ8+scnxD+teJonvPt4JNJoiZ75NaCfGBJ74oN5gjMawzFdgelDRdkJPvxJajT7MiqStVx0Orn3PBdl+53lNQflx3/5nZuAnosWkFTx/dePiFLxq+c7LDnh51+/wk9++RaaA7CvkCJIH8kuqANw+Z5ieie4+2si9M8/ENRJMZwEu3eCdFaM3j7qYaO0bOj3+JEU4/3XTPYvrwLKQVH2ikWZYE0nJmGiabakM88CFySVChx/ZsJbfwhcv79AnhJ2XwWUy98syv3tkdxtFvBbMqlNaGRb++o/TxRmEKCr0rozFKOhCNZL1w4qrZF1swHdUUGldopnbTeIgKTUnSigO0Tbe9xe27qtGA2RNRWc7Ws9EHCKm2VwxYJfeM2aKSUGgNRnq8do7X4sk+PCPGXkxqgJKJNtKFexE4pLFVSIRgY8m6xqTYYAD0IkN7Ftizs+6gg60A7Y5ui12jRtzrTTayQLQlL6UYZotN6Pc8BlHrG9mCna/gAta9WUcwcXJBJ4Xzjk2ijFKlbvMnBDa8t2W4C7YUe2FhQQeH2eB7zfuJzqtpn/5ohnOrbfQO3bS4XrQCuauJOxDrZrSatCIvqaualjVS4AD2Y3B1L7nX8WYBn3ChY0h28G17c3yPm7QcqsRs8D4U0bjZt7eomG+++/DcEDbmsZORCNGi4h9KyjZyArA8tQItTqaVt7LDsIdFDIVCBRmRmNoXXn0eh190CTo/fP9aDq2y4f/61g1iaQg9VZeY1YyLphXRiDwR1ODchrxGkdkUJFLmwl1JF3dIRisy+bSEcAUAVNDdrHNGzQn42acns+E8SRbUJNN/X1/kxbFNPns1YmScTqqo0O3K5fVx+uyrW5LoAE6LYv9Pa+XiKyQbo+QezrR52hs2hXpMfQ63eDkMLvezlx7oMFqyomGCWb1/uV3XvZznno/375aIbKNNry9mp/V9v4idvzNmYw5I+IaohUzW/rSDtDB+hroGXvrVUEWTeGJicq2pMS6M7ctyQffM583L18xh/d0HkqoIb2M1ETiMtAsFo6KUo16KomDGi1wnvOhSqZEiFUjLFgTYVt78ZgTIuuJNvQhbC9F/QkSDAkMxcj+qih3dwP27lhfTWnVFxBelP37fOqUW6EAxsDx2o4nRHQKfybOfRz3hHPlwmfWltizlEQGLNEk9UjemLDEewbG8r9USVQFbdqY3lpwq0GiSmFCwDodLu2AywoNn/BfY2B9rxpk8CZBvYZIWxuxYLpzISZBgCR7XKkEEl3v0gFTCSZ4RVf01YjG4pRZ1WMIYNmiylkicZUsK5/dgt9TtueSLS/zvbZ/q4isEe4lWtIrvRnUujojt9XUejAej+vzw2rB7donShEAaws86opYk4JMXK/LDlyvYvy3/ZYmpRCQqE/Z6up3OquqPk2tvlkrZs6YoG3I/J6aRFYVwIYKkhxLK7v0NtA2tryBL94KYslXWQtEOuR/VKgDgDS04xyd4SG1JBYqnGznKZGachi2fE5hgvR0zIC4/2CRQWLAPHM2tK4KEQZ+A/niulDxXoXcf6USKcLlbn4XrVcffD2gGrIvNXxx4XP5AjeNjjzsr9i8yjNfwZu2rLZemjCZysARzg3qK3csCttrZn9qaMCk7XY8lvg9JHifdRWD6qDYjisGMaM/bhiShmvxgs+mU742fk1PjweeJy5H2D+PCCoc18v7XN8PRe+Jh+AfKeWLFdUZ7EFNNqw1+UWL3tRID1GQPh/+h3dF59iRpKKFCvWolivCfI4QOwcUphfvwiyBaNDlL5OrVRRHkkvjlcmplQ87uj7PlYmG/hVqZifAdhe8tZcbld8Hl1h2t+LtfbWdxlA2mXkhdonW1f2N12/dZAb3j9xBqeJ2dTdSMff20KsmXC5N06/rsDzGdAVyLtm7JtT786qUZwUExGxdseJ6LC1BpAYqc78fGJQOgzWrmgP2Vtm97p0h0CEQZwhatiiENINi1/iipsAm8ubGqfeHeAoFv9Ie9DgX0LDE5YMLWyNcDt4gELaZoPQyU5ngAXl0hooayyoS8RcBboGyCUiLoL0RFWy4ZnKZWHVZgiKKTWmxyvkfL1tteROg4+Lx4RRoMddczaodmuHRGHm3xdpjYLpXcAcDw2NIA3dVuwSIIUOk2/IZoxyrxUJG6EprdKQ2TDnJv4RPDvvwipbNNzb61QBpCLU2sV97GIQQfppCyx87l0wx5ISUirkOkNqV2/TQmGndqZtKPQKQNYFWiORf1dh9nVh/XJbjW0pVFwGqGCsVnfr67wqFLpBWyt0zdiKT2x/dxPAAWzV5b/Tam1TcntvBt1pU6tJGp36a/zvPJCNkYrLaqJahY6q7902jj4PwYTlohAVd0MWtBmzMgjX98D1CwjbPMQINdEGLVzryIIwkxoTZzRxkvS8sK3OVmhoOw6lduTHa3KBts+dlh+yQCvrZocExCQQDSgrVf+kCBkVg6KWAT/Ha0jQnjerXLd6SUjnYL2ue59JvghMGhVr/VC0qa/KWhAu+cbZ1mlkzbBs6rQsqBSrSRVTRXdBq29NVPjzyoYB43s/F9rOTa0iAGBeWssoOR7hNMz2u5xpC/31L9kB7jSLGOpsQedGOVxzbsr0etwDGrpztmakJ1O0Xaz20Z9dLelXZTOPL4Ltzd6Wta97yYX0MuuPLZe5rXlxZM3+nuq4rMt3hD082zj5MvLkhHaxnHSinSrHASWYPoTZeO8HWY2Or6MCY+WzzOw5GhavmbWetotSgd6c5pskHPBNhoUlAsXmXUVYpxuE/VItsE+X2mqJtaLRxNJJgBrplO0DSlS8uyZIqgz0BNCZZ4+3tAsbxXQj/UAhKAdLHi4UCZSitAdiQWjVXhftS1XReoS22nOAc9ESnGbDDN30ddaCOV8vy4pQzQa82Bf17QODg2ACdM6i8ED8fCUDIgbILkFjQHm1b3Mf19ro2B5s8D6tLCoFKAzpWzeBx9bPaAkb/h1AJsDwYYYr1kJDT2SkQORZwZ7QiqY14Uh0OY7InwyIl4Lh3dlEuPg59TCi3LPGNZ69cI73FXLlPwdD1gEiygqMHzN272qrNeXr6Qd4vW6NoHMdLRhI3gZLIbuCcVpxvYwIz9GSI2roobS68HUJSHPF+CEjXDPqYUAdA7BWhKqQpWB8d71NAlgAKIX91zUKhhN/dV0iVII52gGuYq5BsSJhFSC7QJAorvNwQ1mvRejLOO14c7zUJNBDsICav+CzUJAuLq5nwj0Rrd1JXLh2w6oYHmeIKpH5l1R/f7aNqj5giakXLRO3gp3heUbI1/76OaPsIy5vAqYnxe5M2x8XWCDLMYsLUO3PTp9HQIG7nwrKF3fAvWK9V2AHzJ+AZ/HMZymToIxsjdVavFx9jKg/oLG31Tt9nhBK6pTWojj+vFJI6i0DoPSevY7n+4DTd3aIq+LhrzhPy30XlBIlXXr3wX5nujbDmT935mEoPI/jArPVm6RFAC7fYbIinYHw05GtbKy+fH5rCOXI9V6OFfFhhVZgvQxYLwNKCXgcCn50/hTltIlVqkAHRYFgeieYPtiYT/xcy38gnUFEdAA+/nBoiRnXs2lCTKYXUnZcJ8MzEwp1om/iwrSoQLyYjkliaUktI/7t8gP6IWe2CRpmUo7Xh4r0yYw8J6SfJoxPwNM9gDcL5jzidGLXiDrycx0QWI+C6ycRjhxvE8Yhs31eyGxbBQD7LxXjR7lJPM2v7Tw6+xnCucoiWO/47MsrzsfuHVCeDpgyEK99vf7Hrt+ervz0DD08QIaBAe5xx4P2+WyHlz35RPEjcYdbu9PS30w7yubOdQgABrRenSFAx4GHQrFAZp5R55mBhd7x78eBiMe8QM80jBLN+V9XIsebXpO6zdRv0DcV6VTInIEM6N0Buh/tEDYRlJbO3ARffrCumfUJQ2z9F52/vjXYLi2frjzs84mTuz4wiYws0BIhS0B6YlH/cEbrKTWca6dYAFRLNCcM15n0a3cGHIUZEryNENTUjvdDMwDMfikggf27no02NEmT/q4p2EY0ZcWpGmXBAtxqmeGWfWXGLWTt9UmeoQ9oSAlMbAWlko4OAIfdTabtpp+nJ/mzQGJpAcKNU7hNZDTqsTvJ5lDUlerem/6hum35UzZ/037fHZnW7xNAoxk7+lqZZW+iO42mHIAQsUWJUYN9XoELB7lYmMACFw+cG/IbKZ4FWOsiimW1ICAEq/sm66E9l1a4GJYutqaj9cb1mmJVwJrJqyN5krqj6uyGyvfS8EIYwOcVNF7e5iGsjIfDItAx9HoaEy+TLL2HnCVH4lIRzpZ0ehHk90nRRlcVmTju7V44F+IFMUFaP9Fg7RpofJllLsXVIQWljNCgXOeRgTuUdY1hBrPdpgTodD5m3229z2ZPTNxJ5kKhtW09t7FcukOMLsa0SdKJ9btua/EbNdo2f1ZyodEUk3MBlMmTl31ydV3p4B/2tBkepAKN7aDOWHlZpgLAadBOcZYYoJOjaZvEzbwwITmNRI/8fXIBTJyrCQx6IBvcHr2w2Zv1zSDDAgO/d3sPtprje+myUpDIxqWxEcYB1aihmrnEUSpkNbV+E1FyJoIrLstaEc7cO3VKNzV5rVbRvnRQIFWEga2nvMapMWTMjgdT+ZVcccPQ8CBvg2xCpLEp2pjEyLG3M8edaRcD6TWPzHXFmWu8DjD7A9Srfd9VqoaurhIrPRg3tfyWpImCant5WF6oDwNwZgdQ+7OACYtwzT2YVe3nvdci+zYWhSLhhinj50GxBPuWmbUJdPPdCAnJ9ifXpeQKrDOTIdb6MOymhhTmI53z4Zxb4NoYSNmSIQP3YGOeqDa67cskXNOeEIoUAUC4ZETrDaxe8uEIdZRWY7gte2gorSrqmz3mVxETgPEyd5G4GKAPO+RjosDjieu09c0tCtTC28liIkYcr/HdgvjhjPrqgPktz5awqimgsgSpqR2bE65DZ6DFsWAaMq6Xkf2ZC5CPYH3eRCSvVDr/oQjCNSM8X6BTRI0RMfdxdNp6T3bbUNaAZErMYeHaqWmiam9EU9Itkzn+gyUkqqCMGYAgXwdoZmArnkiLSqR7U0PrLB3S/IlUoQL1GJB3LD1r92U1zGGtxhLiPMZSkT6cuT5fH2gvXuhteMLnhoW3AVbIlImbOmD6SVJ60lJybsFemn0tGv05BsR70oXZy5ZjNL8h6nb8RcX4XPHhTxPW1xV1p1giW/jUL3kvZfDaUrMJCkRrYTm/ZiunXofM9/Y6Vyiw/1qx/3LF+hBx/k6i+GphEu7yNuH0e4rd14I3/+6KMGec/uBA6rcN8fhcsf/llT7pH+xQJgbgw6pYD5xrJhk80SCo1jO4jlwHywMTMtN7BqPOYNAoWF5VslYyk92YKh7uzzhfR8zPA6QIZhmRxwr8YsLdLwPKHpg/qcbUYTnK+BTx8OOM5T7i/J3Q+qBDOF7DueL6NuD6HVCDp00g/74msWAWyA8VKgqpEQlmqyMIjMAEtq7GQhsBGRRxCcDHAKlWR+t5E6XY091hxklYNjA+cr0f7mac5oj5jdsfujG+18sObKmUWb7Y2Es2v3Ghb1QHfs7uPWn811cRyysyB9ajnRfBmAHPFN/iPlUeZUcPckmPdvS9rC/s6a+5fnu68jjxsLI2D5prdzxrpeMuwvpVU/uVnTnhW6ezZTXtZ442mBMPoDtUy2rOltHwhgHh7s4ccrk9TCqNNwIz8whU4fRMN29k4yz4pRvHflsvKUIj4/3wNllUAL2+UgRI7vTbAb4mtr/w7FwKKHuqUPN9QDsqgjJFxDmhjGLZj2FT0G0qbIVKfaEA6VSQTrmJUNxcaya1boNstfH24GxFG786JhpUc4TCNWF4DM250CDIO7ZJmh4F5RdE5NYjX8Neo91Ra7SuDEwfCzf1KSNcC4KpWPYG6NqdYXNWtv0LkQvXm82/bIKrbyQsdJMFdYd7YQArOfb3bAiANNTm5RVGUw03p0iGRMR1SzcOwuAzbRyv/svmcLWa9WqHda34pgCVrYUX1HoxERS+7tcEd16bap8jiD0Q9gRBLdCl3L6/U6li7HvO6dG+bmpp460hQrD0vbRB1sVodTdiQ+aExyEinQYMT9HqFYkQTO+DKXpGaBjQKCyrYveuEB09seYszJlo+1bhdGMTXN1XXZDOBYz8Xu1n6vWmMSDMCWEmajM8kjI2PqWW7fZygDJZwJBip8GBqBtryyp27zNrzG39h8Xsn7EE3IGPQ2IN4WJMBVfwvS59vWyf8SWa7mPriQd3sDzgdGVZW4+NYWBrTsyJhwM78wJoIorr6FYF1DNI48C1XyzpFzZz3PYRE5IwgYv2OxdES4n3r6HZvhs01pOdPqebAPZmX/l8br/Xakm1zVw3xobejGMTnTP18lYuU5VJtbL5u1IaI0gBtPZKlrwLgCVwyWCKzzPCHBGWAfGaqL76yHW0fEX7XofYFCap9Kk4fpGRnqmsKVkR1kIVeUtuSPX2ZT43HlTaWaW38y8oRKADEKaBwZQQWY7XYFQ0aX3XvT9qTQxe6NDzveqQiIR7ln5VTB/ZDiedi/UyN5ujtaHasuSuAm12SK49GG62w5Ng25ZUvgdW7ueGzHsyY/Os7e82yet25ULbZRdrAPONynFLCoQAub+DHA7UDbE1EJbKc62V8dQWXPI9FVgyZDUdDh/rKGB7sgig0O+Jt2vY0blwXWgP9hPriVNPpgDolH1rfSRzf2ZNFLUaTpVIrSdGh0Tm21wwflx47gyxB8erQpTBo+xJfdWirQ4VQaCHicGZtT7ycgkNbOHi7X9ox41iunNRnITzdMD+Aux/RT8n7+noxysVyeNCRz9eTVHakh3JEU5hMIUU0MSy/LmbL2PU6pW+6PjYUSZf58sDA6/hWbB+iNAYUSbrf57RE/HmyHudZzop4qqYPhaMj/m2VMSC3uGZAWC8Vq4RaKuZ9qRIHahFgsogG9ZqSpNAXZRMleO8AUx0oMp7C/Rtz+sY+BkrE2E6jdCNuvL8e29wfR2Qj8CcA0Ieb0ohOKfaVIvDSraeByzrkUj47pexx/iZG6gY5dmZfWXXUTkp9Ak1EJkbH3kO+uvXo7dRYzIM4N85Ynl9ExGy4vhzQbwo1vsE3CX2zTUyoq+jy3d30IAmZgQ1Gm0AqqH6GsBndCbGzAA576zdUOQzh7X7qzIBTsdn4logZcCH82tIFowGQukHlusNz4J0YTDofaXH98ESh4rLp4mKyoFravzABGG6ug0AhkdYwo2fO79lExAm+e3n5oiPHwXpBHRFS7SEwjZZGmYrDTQ6ePNXDI3XKHj/s1eQVbADCbZhEZze7RFOsb3n+EEatXi941jHCxOzw7NaYMs974rWZRQsr7iX7n9aER8V43NFmgXLnTRRMfhjtfFW7L40mr+3ljLaOuyRt3bxN12/dZArd3sgh4Y2tfqZdW3IK4ZorSdW0o2Pe3hNLoAbR7PVEQEMcF2YJwarxQ2k3gK9LchuQhiHntkuBV3W1IKglDoFsBpCtQlumwPsgU+KUI3M6jqlzVsIeQuj7eUOlAkPCQC5ogdrIpCL9c08X6GPT0BKSA93/N28UETD7n8YBkz3pArKde6Uq61xDdID9zUza+sBVAjQPdErWVYiduva+wrvrCWMC22505oSwn7i55rAViyFznJgQgEiGE1QTJ7PqI9PCHdH1O+8sedcuBbWPnctuPJxvs7QXIhE7SY42qyqkP2O9LStc28K2rJawObPWzbz4+vDA10TjuFYmVN0uaKezk3IrInqeBDsn/WC3kbqu6DReMPYAz4PICUQmdoiTJtLpUB0E9BG8P/Wx1higBYA2TKxL+7hpo1F6QGqvHydP8NmzKUUfq7R1fV84X6M8TZwDgIg9v1XCjP76wZ5brW9mSrfywIEQxVDgM7zN+nRVtNpNgwhRgwpMRC1935IpFDrshpSGRoq3QJrtwdBgBBNTM72rLdK2j6ToZhqZQY+XqrK4K8qXD1VUkIajDVircVGa4l2Ixpme8AD6C1d9yWa2Vr3bKfHX3+W/v8XCQvWdQfouqIutm+9LjZnBpGlcj49qai1v7e1c8O6oJ7PfG5ryyUjSzogAXLYs57UnYHLBdjd989qSQImn/S4Z5u2eaUdNmYNX5N7svAluu57ypKScEq715lbDazG0NrDQPV2b2+RYKCXinBSe5uiLeK535HRkwvXrAfihnKr0123e6jWfsY0RtAKfX5u2hBIkXtDzH4shjQua//7WhGnEcM09gBtE4TdJIH8c5/PFFKaKMp4wwxqz41NYOgB1m2NvAeAslhSBYAe9zwngfaeoyc6/YzxK0We00CnjDcG0ibhADApcJ1JZb87oL65A3JF/PIDdF6Y1N7S1n0sbI3foLAu+gcw2Kub+zd6PQCWR0We/ToO2GotNA0ODz5Xnn3bIi4pFeFc+jxX5TMf2G6pPux7PaQFTfGSAekB6Zam7GMqMwM0PeyA/cD+s/veBkcBikcllhmQgq7wHsjyfIFeZyAG1Icdj5wQm3CVrIUI5xgRll66UB8O0DEhLAXje+utu5jI1X5EnRLi0xXy1YXCbp8cAQXS5cL5tXaK4f7Yz0J7tnIYsL7eIayWuMgV4Ur7mJ4nvvdpgZyunAOzM/XTV6j7odeO5trr8ceBaLWJcm57DmM2/+F0RZpX6BBRdwNalFVhjAUwqe4oeGaSPFw5TuN5wfgFE4b61TsgCA5/+H3k+4lBo9VKs+c6nWgEQXpe+Ty5sqQhBgb5ISA8XyiS6ntoHJA/e4AO0UCGnhymENR6w0qQ4w4a6e9QbBBMeFmPYixkFMRt8gVA3Sesh4ThnBE+sB3g+vaAOgTEdxeExzN0GlDvphu85uOfTJi/y5Y6ZQes9wEOpkgBDr9UTE8F64G9hdNJ8fovr5Cs+PjHe8wPbMW0/5LoZ95Z4ssCVQAm8GTiRyoYnmTT8YPo4P1P5g0CHfDxj3e47q1v+ERwYfrIWuD5jSDvgeMvFK///YwyBVw+TS0AdgRdKgPty6fRkk8wVklFOldjmoTW1sqFq6QA40mx/9WC9T7h4gjygka1BoCS0fQ0hifB+NESH8XYZlYbPn1koobUbdrH5TXH4M1fVOy+XvH4hyOef89Q5RmQGbj7ZUE6VxP+EqSL4vAFEzXDmQm1D5GBcbwygIYC45Mhm19XDGfF9RIwL2KJBt6718NK0U4DnrXNVU3A7r1i/FgwPkUMz4klB4EBbDoB4edDo0DHhWslrorTdwPmNxaUP/Nzdu+5jxzZz3vBemSAO//xDC2C3buBaOzHFfGyYv50j7wfeju96AlVll7e/TKjjAHPP4jIe5D9t0djg/46jOfl9f9zkFvM6bysTxgqAz/Egc5hzsB64UbPCyCJjtm6QjRC02TOjR1w6wIpK4BgCI79nQeYWgENEBka2uTO+LZPZMv8V+W9IELyAq0nIK/QnKAaEfIV4k74S9SuUf8SVIMFueYkFuNKbSmyLwIMdVVGjRAfXs+apQnAAFmv0PURKMyuamCQ2/62ZqCMkGS1xOcrNFuDOg+Q3KG2uiJXe25IRwzQwJ6vspyh+cr7WY2etwx97O1vNRfOT2QAzHpqC3AzDycp5my6aMz5jHp+QghX4Flvg3KfvxiJ/rwcp7xCdOQuUYWuzDJLWphgUPSAzbKXWGdmPD0oL9XGBhDYvYUBKnT+GyLk9aPrBZrPEInAao5+in09bcZy3dS2XOoJg7iKgXMOK7QarZK9Y4CcIKHX1t48cy5ApZBPc8J8p+YEQWLwUpf2M77PSkppHSDFf1a+8f4chAjJYw/CivGCamEgWgaoKrReoWWFCHtW04F4kYio7JUrNXL+AaDOFAFry95OPAkc/yDQzCC3AacVdiJ0xxM5ANlqgvPKmMScU10z1AI7WccXAUjp+z9s15RCS+YzIXB+KzjvFRzzEtq+0VKBPPNzIbRFNUGq9Y+dbe5zbHPX7mk0IbpS+DiNah96gsPveXu/L69i99Xo6dv5NKufV67vauML9PGqEVgS/94ceHXhKolMAecVtV4ZNEviAZFGri1hYmUtvfb8Uk4oRQFNtLd57vdWBbqsqCEhLAskz5Y8siA397IOzZlIbbSEgHLNN2E+37cSSAOulnyrxpSxIKipOcvAc+Q3Xf7eANetCDCstCWlGPJs3gnA+ffX+Xxt64oBQAb+/bpA8zPtei4GDRhtLjgPuUJWQ+Ctz7RggGKgAzsvt2vBRRn9UmWSoWZAJwjGb9/jL+m5stm7nHy+ncBYOpY8HFaophfvac73+Ur7ZGtRhgEKO/eWTfLC79vseQOO5xU6r5AxoyyF1O35I3RdrEwo9QDZ0F3a9hdBbg1Qmx/JuaOzYIJLV0vUrDNEE5AXqKQe5Ppa23Z0sPNr2drz+SP0qpBlE7BohC7sN6oSUaOJHy0FmgO0BispsiB32QS5/lyW6NF5Rg0Dao0ownritKxAVmvtYUFuNQR7NSXp9cxnXCryvEksqCIuRJ5VIqpGhFwQV2an6pJZA+xTNGeE/AwEKtTXEBGvF8hygaYZ2RDgtFyZ/LYSBVkKymyJJQvmSxhRwAA6LpkopSUeathBSzDl6CtZY5eLBbIZNU9EHtcVrW95EOhqCc1pYJCqaqVNFWG50rYiAjlAdUCNBDHEX1dY4601omr3iRjkmtq+jYZcF9Tre66b0x457kzV25MYFnwN1jP4tCA8z0A19kYIUKWidrheuY+dOVMHlFlRS+T8ObMC3HthXlsCEqqowwHlMgCFLA0AyMOIWtgnOCy5P+PGN83XEWuMKNeCspwAEazXFbUE1OWKsJ6hMqAO463fcv6A/Dwjq6IuQDn7huW5nE4KPRUsU8S8E+BZMT9fIbViOc2Yo0BPCpxMjGqR3j7HTZcAuQpWK93RJ6vBjbQP8Vkxny49yE0R6/MOyyTASREu9FtLJbK3DIKciQ4uTzNyCVjOA8rAsiENHqyyXaa78sGD3FMFzgV1EZRCxsBaO8IoBcCpIpxWrCFi+TigrorlSSDP2nIpiwjyR9KOl8cIebKA0VBWF0YKjxX1WtmJYQr8uw8KWQXrY0F4XrE8T1hOAmQGjOmqmJ8KypUClrVIEyaUAui5QEWwPCaUQaFXgZ4Ab7UZKksH67lijRGrsW/K3kz6aaNfkjledVYGscXG4qTQc0aWiHXgfvB5LQugRjOWCpQZGJ4qSgaWp4AVgKxAmvm+8bkHuYjAmtldZQ1A+XiFVsF8GjFcVqRLQTqvmM9XrI8jRcW8PdEJwIlJA30uRIKfEvICU2C2fVWAbF1EPBb9dZfoTTOuX3/N84x57s7Qv/7X/xr/5J/8k7/Jn/7u+t31u+t31++u312/u353/e763fW763fX767fXX8r17/6V/8K//Af/sNf+/u/MZL7L/7Fv8A//+f//Bs//8//4H+DOB1J9Rlio444XWx+s0M+BKpErj0brCLIh95cWRStT6wXYze1Lu3RO9sdsIYrnTLiZSMOFALqPlkRvAtDMBPb6jXFVCatnqFMJu7gEvxbnrfyK3h2TvxzpNUxkZ6Alv2JM+spyDWniuRwsl5vXneUa+8B6DU9a2Ytm1HZpBptBwCmkfU8TkX2SygSxaLtyixvCtCRan3Vm9CbFD+zl95jjumv63f2WF5FxItieM6Nrw8F0nm1dgRCimLhfQNAHTbUcqVC4HpM9rm8R6oMEqkug7+Wbz48krLAmiBLxRl1rdUsOd1szsDHJ6J+r+45HiJ9riqAKMivJtYynzPiNcPrmzlXrCEOc+HYt5ovhZwv8LZPf/nxv8WPPvyrb6zz//kP/7dI0xHem5Q1UIIyJd6rl5zFLipWU0DrSdcamds6syyn1614TVNYFcMz1STjXFiXN2fWXvm0VxPiUu3rQikEpUZPo/JiaGtVX6ybJmJi4ilqtbFdYd/WDRlI7fXrXWzZRv6t1bEYHU8qkJ6Xth691tRr3tr6zhlwxextOYCv8S26Y/cMoFHxaW+I3OuY7P5pf2oKKGNAa0EQOLaoQLoyi9jrOEHhp0b5NRrrxDKAOsW2j2DzV6yGiPU73tjd6KHWNiJcSxMjQqXYlCyuzht6TdcWpVY1NPQW7WvaBY44+j5xe2vIxvb9ZNmULzRU2YT61oy/fP/f4Eenf/ONdf6ff/d/jXj3ihTQ2G1mq8EbQ0PkVIA6Rqx3pIuFxep3bZzqSOVUnwMVW+dVEWbF+Gzr2+rVwlqA3HOurU5ys269Rcr2WTVKm6uyS2h1pNuhtTXsytwIQN6lvpY3n6PS6679595eStSUlIvtS6eztj7Fdm9WRkLRwU1pi9s33wNGsdZcKAR3f4ROCXJd+fvN631O6siztkwR+cCaqZB5WLntiTPrMluv8C2ze7MXKUrVf1cOA9a99VC1OS871t6xTtj2vdmNuLL+MCyZ5+z2Oa0mVS65l434OjT71danCyDaPthepKay/EJNz8Pp7P47HQZ2b1BFeL40BPgvP/63+NHzv/7GOv/P/vH/DnEgt4+tajh2+cA1USb6Jmp1+Nt1VHa3P3ONDIjTKbudd00BpwtKBcbHgnQp1CJIAtYQmsJ/6HYkrNXOiu3nC5aHhOXB0O6qcL0LsfZAXdSSLkxN/H+6KNKZLYx47tg6j6Se5j0piKy3Zs9OVwWGvU9NpFLuf/YMuW7m1Py/Nn8iKAdDac0m6hCQdwmAUvxqI1TWEGugIX7L6xGL2Za2RqU/k0b3t0xh2cYizpVCSteMeMmkn0/pRj9huR+w3ltdcuX71kH6WSdAzIp04r3UweuPK8JK9eQwF2gMWO/p97CvsKGVQcxGmL+0i6hDQHpekT5eufd2FI0qR9bK5x2RwDhXTO/Xvh4COFZV2b5qz9rceM4ImayJH/3iX+JHX/0/v7HO/8f/y/89woE1q9WUdtcHYPnTC9KYsf7qgPQcMDxK65zhHT3mTxX5WBDmgDiLtQW6re88/37B/nsnXE4jwq+4N+u+Umzp64jhkSq56ycFKEA6BUgB1nuF7grCNSI9UVwyXfi+wzOF8VzYTJP1Xo7+f0WdgDJVxGvA8JHre/6sou6KqdQHpGfB/kuujezU6B1QR0W4CsYn7tXllQIRmL6m8FFcwJ7Rg2C+pz+73qHVAru/li78v6seh4XoKSnYRECHZ9qHsuMz+PqrCVhfVdQEjO8DhhPPmLhyDXtdsK/7MghR2kr0VAEsr4GyN7HXQdFachqdlx0dSJv2+647Bf7khDf3Z/zqqwfIuxFhkSYIN5zMlhgC7ES9PAmun1PFefjA+10egOVtwfAY8PbfUgtgeRWRJ8H5u4LLDzLSU8T9j/ie109sHke1LgOKui9AFhx/kjA8m8DWALjaf43A/AZAVLz6C+Dhry64fDbh9P2INV/xP/xX/wX+9E//9Bvrfnv9jYPcf/bP/hn+6T/9p+3/j4+P+P3f/33E/R3i4c4234ByTNZKgaIu6/cmzK+CGSM/YGEiACanDViQi/Z/8snRVCnjzMUfMqAzofE0FkhaLWAxA/Aw0nGZ/fAtCMGchRTaQVbHgHwIWA88CYLR/DzoaGJJxaTHAZRhc4CA/PDllbT2Or75JYMHychDY/eOwgpxpWOQLhXheeUitGA8nGZSvobUnBxczGmYjtDd0BU27VkQAnAcoUkoxlMW1GFAOY5AEmCKHD/4ImdgHlZF/EhHf/7BHtfPBMOjQt7fHhZyrV0xDaCK5KXQuT0ysOCGUpR9wPLKpMa9R96zQi8sbM+m1BhXE4fQFbFegQGQnTZqGYCm+KgDxVnCNSNeSH3W4wPq3WiiLwwGnHpU3gzIU4CcKuJzNkfbAjf7kktFGDbOaa5UzjO5uT9785/hj7/7P0N+2CGXGf/3f/1fcqPs7hD2RyqueiA7BOhdak4EexjaOG/Ug13UwVuIuFADAlo/s2AtOdIZ0K9sfV/5fXzMiM+rJWHs8DQRo6bCW0iV0ykhP+yojmmJljoE1HHjyW7WuSeOPMGkRmNq7Q+K7cuRDt9yz+/eNgQVvU2C0WPkQ0F4zpA508F+GahY3bbo1coY7FdhZC3otk7P6wRftADSaUA9TtzTE9VDq9GFymjPEnoNUbrQcdNrBZ49qGLQItfS2pagKGvmRoqBlLuEMoUeuNm8bteyi2lIRdvjw6kC2RIVKwONcF5u1rcrh7fAvbIGjBKVpvjrdc4izdltbUosyGU9G8eYYjdAfF4RzgvXarRWNrkyQXKZ8WcP/wh/fPz7QCnIdcF//f7/yGFOO4S7e9oQs08aQ2tzUUdvuWLraBewvGXdE8A94H0d814wvwE0KEIRuICFN74vH2nPh3O15E5BvN7WOHb+JddmWArXlCVqEALKIaEMdP7y3pJprjA/9AAbMOfkysTdcseWExTp6AECa4ro7NZWV0bxFL9fFIVcigW8FbIzW3K6mkM/0ekfN0H5C/smlwVSF26iWIy+eUDdJUjcUGErxYPym30TaREAeh+xvLF6tIKWkALYgkOeC4Pdd1cmUE14qiVEh4h8N/TEWxCs9xHLXTAFX1L31gMdPae+8SFoO6bHgjCTcihz4XpLmzlQhew2Qk0mQiX5zLPM1/c4QHdWqrSlAFuSpa37Az3NMNv7XBZqTkwj6n4H1EpHXJjk+dPjP8Cf3P2nQIrIdcH/9ef/Fd/r1REiE5PmS0UsmQmbNyPyZL7JrjuMmoD1ALQ+2DAnzSiQ6SwtweNUxjp0uxcy6/rCAoSpIn0oPKMHjuuQeSYVqxVtwmObPeC+R/l0xOX3xD63O7QAg740kza43t0meuSiFJO0M76Oguv3BHlvbQIHRZgFMLpp2CnKys4Naa7QKaAehI7yORotuHRl6fZBoK0aJ9YOrxVhLagpsnMDgFgyAiyI3yRdATRF+vp2RHl1m2BQ603bavgugJy00VelArgq21aFglhJP8c+bRKLgL5JyG/CTTCR9118STJ7k+aD/47jH7+qSB8yJAIyKv3ITyJqFMQPBfG5tHuVCAThuRKDQKsgrUbFHAQVE3SMKA8T6j5AR+HXrFCwJrdRgl0VOQhzj0GRBo5hOJ3xZ9Pfwx//6T9CeXPAWpfmt+znEbrfwaucUDiGw6czXh0KvhgCyilh/PGAwy8q1oPg/EZQDor6vRW7u4L1iwnjycrHrH/p/Lai7ir2n6z47KHg673gXKg23HQI3wrWe0E5VIRXYOtLDKzlFLAt4wjUz7iHylWgK4tyIhT1CNR7BmmHRy7w+Y2gDMC6U9SHAt17EhDAQ0GYKrALQBYEDRi+4p7N9wIMrCwJAuiDYnnFuRUTq6qfCNYHQE9AeGL9akp8zXAB9Moa0+W1QmYgmc8GC3aX18D8PfOdKxCugsNXivGpsq70FRBmIJ1A9nq0VltvBPkBFIiy/RzsWHAfLApQqvmTb7n2y9uKcqxAqpCxQoLSd1BBfhwQZvd9LVFbBXVX8Xd++IQ/vf8S/4/9Hl+OB+glQj4EquqPvLfpvWJcKEiW94Iw0R4gAXgNlKNAkmJUYFoFD+8viM8Z17TDKgGntwG//z/6gJ//8g12fzEgXRXrFFFMyRqDAvuK6fWM9Zqw+4sRx/cVj38QMX9XISvrkOsI5M8zkCrW04g8D0gieHgHZDsn4rbbyrdcf+Mgd5omTC4Cs7nq3QQ9jAwwd3QymOWNrUkwBC34AaQdBGxlIK1A3YvCAbSfFe8pGKW1PfDvdWAvvpYxE7Fm1wxOHWWpk7V8SIJqmTcvEi8TF5OaKqkrefmhUQsdnaa45misMjBJZwtabDOEhS2AqgXmkpnBbfLxyRXFTGjAfboQKCIFEBUAgIe7Ns6sizKkoPWcdFVSOgPV61uALnQhwHpvqnTWo0sqML9m9JsPPMg1CdYjmqJgKADOQLyWjoZZb0ORHjD779Z9YMAf+1hoFBQ/6D14mjsCRnSMNUrfEFmCHVrW7gNDav1X3XlCUSpBBgGqZRojM1v5aLWUhujkfUCNwGgHaVgromW+JVotkwgECSlExCUglg7ra2SQwaDBguqBiKEHtl6rUlNXHPQkjYb+1RwPy7SJaK8VgWcMBUBnMzhSqCIQEIVpI+Y9hnfWaiN6fYd9+T1JvwfPbNLBt0DAA5XqDrMghI4uwAJZXW0uG5LbA7xgyqNEmUNT8bxRMK0W2A1UoRarb2p9eat2lN5ruf3vPPgzNVFv1UH1xGCtraSpGMICnHxgkMV9x7WsQVtNlir3AQPOF2tRGeSve09WmLNZup0AYG0K+nxVAaQEhArUkXaqIZHe87RWUCd/I5oDH9valUPd0Q8WgEc6w9rmVTZ/p6ijbURHSKqpchpyGCQixAANSmPl15D6uEaBxn5EaGQfSGevuOIh9yr/LyAroERY0/rbcXTRiL7O0eavDnZ2tNZi7K8K7T2FEQTlMPY9IaZU7HbV5lstqdPOH/u5KJB3fF63U/x+O+dscaEIKkCxJOvFEKkAANJYFr6++Yd2vtUKWdGTd14Hq9rq9mTLUnAWw7IibFszhQAdmKhwhKk99yDNxrQhNuSHCp6W8NgnhDU0td+aAju1DYEJmtRtmCfsagTqXpqtYKAvLUntXdE8KVCNOSHVWh5VJUNCtSsoF+3jbCwgHVIXfrNgScfUg9sA1CmhjpzjsmPCJl5NaXY/cF1XOyOLtrNUQkBsLfM2qCGA5T5A1NSlzV6WXWDf19HsrCMZZr9bMGnIXzwLkpqfsvP57WtbB4VkaW2ZPHlYk2A99ABLhYlICbqx87B57GdMGcWSkbS50O4n+VVHBhZ+/ojSqWZ7J7RkFFSa4IsmIF0F8iwbpe+etITQtopSsCddKllYc7HEwzfdSA9eRTvqL5kJBbdXdei2G7AzJ4oF+oLlnsmGdjYKWn9NVzTWTdAeV37XiNabEzIaYm0Ax979II5zGYSBrPlwKpb4LRboe8m2S2EMTOyFTD9IlCq9ADtchLl0n6QBBhb4QMk0nF6bXxrb6+KsWPcB6x3P5biGjsapIixo6sR1cuElQGOFrBMEQBrYg1Y2ijzLfYDeca7LxJrNvFfU04hliQTdp4LlbcTjH3Gd5YM221xKgE4V8yds8ZLOfb6gwDInvD/vsS4JiApkwe7nEXEB5jeKfGQ/8BCV7dgK0UZNbHgTsrVhugr2v2ICYHqsBIJy9+HKbhM3FCBeAdchqBaWpKcIPEXr381WOXVgMmd+qyj7ivF9xPAEAGy1U0bg+hnrbtM5mjK0zfNgQa9sfGKgIaP56PMDm0Pg8HMLRCe+nv3RpSGXamhyWAT3P6Ia8dMfCa6fZ8RTgBTOezWdteWBtmX3ZcDdX29imghIDcgXYfLI+q7r/QqtguF9xPAkyHfKXsWDoh4zJCr+4ovP8B+++gSXrw5IH2K3Q1FRTNhpXT0eEkvwMJHnfX3jAhOWUuQd8PiHO8RlwmKq2WEV/OzHnyCcIi6f8pmWV1wPYRb2tF4i8rJHXPk519eBLY8KA3LA/IVFoMpE+nLsDL28bg6+33D91urKy+sJYT/QsRxoPKR0h8FRvRoZ+Vd3EsGNHRblBgxdxav3MwPWO2YraorsWUlrwQU60RiGWTFY4BO2lCmAiJY7B4ZuLfeBPbS80LsCumno7TLk7oy5Q5/OaJLyUhVD5UIuA7A+SAtsp8faUAEG8jRyxQLNWoiIsAeaOd9OLV5WZqbHAeXNEQiC+PFCAQR/pmjKq7Aem+6oWP9GHurSDO5lJ7i+ZdP2vAecdsk5YNaoDkTppBJlaQj02dQNh2BKbbUFT2WkQ5AnQT4I5rdgZsoO3ZYFyjbXhpjE2QQaGgVVbxx5Ov4AUBEWBrM6jXyugIZIofA5JTHgJ1WISnXrIcCbsGsE5gfpEvJK4yK5shPBlCB5s2FKRXg8I9Reg64xNuefyCjXXpm8WN/pm+gU9va3Pdj1w5m/cNpPP7R8DUK0oylAOwwBc9ZTYDBaSNnTNLR2VDV643sGfE4zcwl2jcDy4MaI878NPhoFrgC19h6IUkA0AOgHTuYYUwq/Nlon55XUSj5npVCHt4syNBaFrVtulHJtDpBiV+5dTMAjwpzY2Cjo1dfjJFgPDOqp2Mh7hAB56gkIqXRSUlCjBZqhd7bdN/MtWPdUfUTYxIRODTZqDUQxPpttGt0Ts6EIQMHAllkzhVXkpsezknptyua4UmGUaedg1NHQ6KplCm0f1sHKPNRQ0UV7dyx3NnM1+nTutGxhSyHZtFbRcSBCnMTosKGViKjwYFsPnbHAZFpfO+5cO73M1/HWGRDLy5VRoKIb9EsAREQUtuFYqbAqpVIpfogo+wH5yORI33M2Dp5cSnYw+/yj2/q2DxXWL9CceGPveKIpuLKm7b90IdLMhIlR9nNFOM1EZlNAU06u1RgIt6JEvBFPTGr/2qgsuyozdhP7zkdB3Q2NhYQgbV+XkZTwGjfMkJZQo7IoSzRSo1pzbwFVQlOY7e1eetuPMtFGaKATqUHBwB7NHnjfX0lAEdrDdC6IFyJ84XwFVDl3Y2pjoFZuICGw9GSIpoCcIUNCmQZLZHF+14cBy0OEtwGBMuFA6nlCyCPS84rhV0/whKgOqeWfZFm7irJd85vAfvMXhYyKsmOCbH5Fh5StwHprFQ9+dHNMpTPXxfJAZVlPGkIFdap07i8B6RQ2foP5NiEgropk9rS4uq7vE/GEWsDyEOhw3/ckdZz7XtsmcepkAbf2gGJ4tN6TRv/0q0zS0OjpPdEbvyRbUqeogQGC4VIxPBWkc6EwUymohzsUQ9ed3r5N4vJLW9InXjZ71dlGbkeyokbB/MDerfMbOtFhZf9xrkVjPllwpLHvW/oVbHtTBg9mXQmXZ+D1TUDeu/osaa/zJ9psAtDPurBagqKiIfp5EoSVcxeVvW+nr9YGKpA6z7PJkyviex7A8mrE8rq73Wy5UxHnAv0kYnkA4sS9K8XZQgIon62O3bfhuUq7EcZojKEVIXdf8fpWIHf0pZfXFfWzBVoE8jgiKyCvFoz7Ffm7itPrSAT0YiV8CtQcEI4Z4X5FPidIGW5K2uol4VTMqRkrcI149aOK3buCX/39AevnKyRVhMCep2Elm6Hs0MpX0kkwPgJv/vsFw9PS/L8w7yB1wLoHrp/RzgU7a+UkiBe+z/IJUe/9LxmkkmWmFmwyiVG/f8XhuGB9fMD03t5nVcyvAs5/WCGHDHwRjTJrvuuBAXBNbNcTL7SHcZZGc/Z2QKLA3U+Ah7/KyMeA86de1sM1UyYGuXVU6K4ifZ3wB//nZ8S//hKX/9Uf4/CdE84f9ijz0JJomoDxzx/xn3z2Bf7Nv/lTfOf/TaZTmOkXxGWH+XVoPX/zAbgOPFz3vxLsv6o4fY8+et1XHN9ckHNA+dEd4qPgzhSYy673Cq6jncfqvgWTHiGzhVBcgOGJLMPzdwKW1/z9hz/vgSkAxAvw8O8GlAm4fJc053KswFgRvhwwPtKO78zZKjsDXoZuJ5vI1hyghfOyPPTkZ1m+xVH7luu3DnJ9sUsGKRwb5KkpLzrdxymTZsjbYRns4RzJ3TjzYRXIU2QvttUyjItRPtzR3mbM/PKTyJwYOoSwGhtzepIFIJZB9M/0DKlnFTo6AxQQ3ZJ6m4GUzFgtrmqN0rkRODaWvRdDkZaezb+532CO7pB6b0f7XUN+t88GMNhTyxxaWyTWmKghPpsgZzB0RbShGtqQB4s1zaA7pbxRIz2zbEgmkxqkg+YDGzuXUTsCB24YiECtVoHvae/rdYwVaKeio1GwG7L5E1WOh9fHKanpGINtRHPKd6Flu7tDyyCo7HzDCkQDM9dZoWtFBKCRB4TXet0E3QBraDf1rXXjVLd1Y86Gq+71SeqP2H60OSiw2QutxjX3YLN7a/3fKqYSHEF001Cube3tt91rqzELm/ckqN/R2drXQSj9/oAeoLRgoFitvNXrkV6j/d6BFswRyUTfp1uU8oXKLA39Zg68LjFF7pHt3GxqRGEJtVuUrifbHNl1VLvVkCZPsPh7BHP2Q6NqtyDCkxW2RcWFpweruyloqEILskT4KP6saq3bWwBUsUWxWQ9qY+I/S45e2wE0SnfmGh09IBjzRZNs5kJ62xvvpavKQPqlci5u7SlrVO2ZG2LMv6dD7vv6xe+B9lk3B5cvveprnjYzGIJLxIlooyTWremNzQMU2uyFZ7a3bAnf+42q7N/bvRvbZ4vG6+a+bZ1vkTL/+7hUNFaP1+hvL1+3hqA3e2K/8xprb3lzw+IBzFFOjbHTAlxfooMgW9sJrwdzFMrvt7Fp/OxzR93u5aZ2U/qeaV+OEqdu192ZkgzEou2MqHHzf6/FtXlpCS0R3r7v/RD6HBkVX+q2Vp170lG4PG3YJko11xBtK61AWJkQE2sfdVNj7+fHhpnT1psFlGVgcsTRGujGpje7cjvN29IcAG0vQA2tKnSMiYiazsiGsdPWf7OHfS1ybHrNbvCEbjubX7zez56oHXX2+0yCMukmyWd7rhCN9kSnM9Rai46AFrQyULPaYS+xQDTfx2xXOwttz7sWgzj7yZknTJyq26V2dkr30wJ9qniVdl9O3+UZq0AE4ui9M82fcGqmakt4EU2zc08NqHAfbwDKpNDEe3FfTizwFuuD3Xrn3tg7W/v2vmwLZVO5SdpyT/iYcB0wQeT35j5Vv6f1IIaii9VaB5RRW2KvMQwq9xDbSQbUOKJuPrta8w0/80QUqgHhIpAqyGnAvEaee0X4ZdPpr69rQM0BKIKytzPBfeAC6BKB4nW1PM8aG3IN0ELUTebYlH7Tc68D9bU2v03Ih8hAriiW1wnX19LtXEDv1meosAbW9kIF+Uj7IXsgGAOzjpb0EaLSvm+LMyMmQIpAF6KIy0M/Z6rFB4g9eRMtBnGmmPsCzRZacj0ugIqPla3lC8eo2P3XMSLudwgZOJ0mYA0tZqCvrahVcM4jEBXza2MYXmNnJVgJHPd2P1zXO34wQS36U/N1IBHlUAEJqFegXsQSY/w8HTlWdVTU1ZJgA/rlAbglhcPCsU4nziNrprtN8r+RLOwfjoCyU1yNop7O3Du+5z3pFjy5A0Pthba5gT0ep/wNrr+VIJeNqwGpARCjhRi9gFlHxfWtYP6EtIvpvRiVC4bIshA9XgXTexeA4AKevhaMT6S6pJn1sbuvV4S5IB8Syi4iLBXBRBBcDIlZYKfLCDAGrKMFQe3w5iYgFYivGx8ZkC1HZjfSVRC+5iDng2386oI9nTaUzjwwh7MiXgpqSlj3zHzsLwXxmmnoN765B5mMsmhEvF4LMEezVIpFyWgtYSqdfGuKLlcT9ok71CmRhvs0o44Jy+sReR+YyZo4zvnAjRAKDaSM4OadGXwHC+pDYbG8imXu1ASKrH5mPfJrfsMsNgMCjoEbr/WOheXju9iyZzUKsAPiQnEANVEmp4FDlbUFCKy/W1bSuXZEqV2oqxwmLK+HjgJF0h3KzmrHVjssjo7s0RCsRzINhhNwGFmfnM4JcamYfr4A7z5A9nv2A9XtYREhQ0CNgVn/fej0wY0DzubmNn9b6n144QxtCQeKhgami2L6aCjF7Og0WrbbxaAYmFo9avBDsjtxomhoT56kiaU4Hb8lcwwNINLA+e/IrrbDfUvLBdDqcJ2+GLIinV1IyOoJN4mmcN20T9nU2rWetZsEFZ0obWgOAPZ1BnoteurP2hw8T+aMnQmSj9oOGQoZdAdfzXGtUxdkk2L1yYfI2qNXXFNl7AFuPlj95sBkUZylZXdZ8047xoNOmh/HtcDEkQeTTC7ULr7mNHwXnHKasomn1CFYMie0PViNks69wM8bTka/mhXjY0EIFKmTyDY+eq00AKVCtWf+65gQjcIdUmjjsR5DG7uQ/ctq/44Cp8h6wixdbF6S2zJ7f3McgjMAFmA4VcQrqckUQWOdba3KA8oy+6JkkmAuFCMx567VjDt1dug15L7vPTiIKxCfad9udB/sudK1tkBchbTH4utrJL11fG89NBWoh7HN2bZftRr62kSprO5aI+m4GoRtV85X6JBQ7wzBL5uNFjgfLqbFAVQsx4D5dUA+khJ4i1gDCIp4Db08IQmqUJwQBUACVEJP0BlCWiY0h7JMwPqgdLTM8fF2P+kCDFY75iwWJp4rIEC+H3kmzyvbgSXuV1VLYiSBRtvPliRQxJYAEDMHZYooY8D8EMii8A0DOmWo/FzaeoGUA8WGvnpib9R5YYu8/R76cHeTAx8/KgZwv+d9wHJP52l40vb+LVlqCQS3nW4Ps5ijPMLYax6sKobHgGRtPNKZSEiazb4MJuSV0cXrWiKAD192EfM9k+LD2dZaUrbENnvuTCAVQHegvsNAZxVVEFcGtMs9IHcddCAaA4Sr4uhtSWy9x1Ubm241unoyFla8VqRn9n3VyduZVcQNeilBofDEltH7k6COgyWbjW5+qYjOCrMkPW1DT1IPz4rhZOeWOfO0hSCiG7lHoKSmkmIsN0BFNrAh73lP6ayIj0qhrYOhfK8zJNVmfutMRFM0IszoiQ9bf61MwyippURI7AnNeC2IzzOaEGqkXkBNgnit2H15RR0iltcDyig8Y0ZSs+ugRolmQDR+5HzlHddZvLIvq5cBVPhZRqGv9T4i5wD8G98nCkk9SFcAWAKmrwPiApT3qdnMbQ25RqAKEIcCfTdh/8uA5ZVC/ujEqor3O4RrgKzcN+kiRPpMeGl+Fcnueoz0bTaaI2Ela2A4V+7tt5yHX/2nNEjT1wnDSXH9VHD9vMDLugCgThUIwPAuYnrPMXnznSeMqeCr4x2WmWtQgkKiIsbKaVkj5vOAQdBAmfWOJUvxOUDPAcubgvkzRXqKGD+ar5T4Gp/b8aPi8GVFngSXTxkY5z3HL++B82eRMc6jIfd3fM34qBiemSRcjxFxBs7fnZAePkOYgek/7FB2inxfGRybHZ8vA/79F59Ck+LrvxMQSkBYjKY9WlLLE5uDJY2i4vpnV8xBUa8JMlu97a92qGPFmz/8gE+OZ/zi4wPOT1OPRkVbwJ7rAJWAOimFxK60/aJWvx8IEu3esY/ym7+YIWvF4x/vMb8WizX4XsOzzd0lokZF/ZML/tEf/RX++vk1fvzTT9nq0MZYhgpJFevzAPk6Il4Fhy+EjN/mOxh9f37hlP6a67cPcqs2mt8WdWrI0eYgrUmZNfHMkv9e+uu8joGBJINEiitsECNXd3RH3E8vJig2c+YGV7F10m/oc+jOmGrPlHmWZqvI14IDgTmfCpjKXEO8bu7Ls38KNgcvvJuN894u7YarVe5v+m8qqiGcaKgWIiz7pi2T2lCP4Nl4aap63AyWvS5ym5VsXnh/BhdSQsu4ClRroxi17P9gB05SKz8Re07+rG5ouhoAVXPMt3WjKgiogCHkN0hosDGwcZdaDVno0YPeHIQMCOtgwd2GhkE1VRpc0iWBkAUts1BKp4lu6BcelLUMenuenonm6zaO0OZnNxSu7b/9JYbier1ocARuexk6pNXcCJ9vR8U377tFK9s+8zXtzwB8A+UC+prtSAPX5/b3wdC39rMCMhbKBrENllX35IxadB5frP0Xl1rpwhb9ajV6Pg8+ZTYH+iJ4dZTF6fPR53Jrd/zzvLjKkLf+Hh3dUkfG7N8a1NAyha7Cg9DW4A3SIrDAXlsAynrqLdRie34b7N+g2PbcGyYBn09uRM229pQUNy62lLgYKFDWA2x+tgW7fr2w5S04NYSl/W57vRjTRvsN6IxdCzLFX9cSO0YZdzV8q8/2ve7oiKDeJobsc/iIcnMPvZ7R1nui048K6Aapczvtm6HZbL/X9jO5RaCzqWYbqu6iX9+Yv2BZ3nC7fhvKa+vV6crqawUb++c1i44KW90sa8a4NhG0799NsHuDrle9eX9fl26/9Ga87Cv2QEKD9j0V+xzy/fz5+b5ECy1gbXsWPanr4wPcoOD6AhXfsq3qS0/FP9+oXDkT8ZUSEdv5WaBrprDhC3sesjnCjtiHra1zf8WeVfwePNjn/moIv9/L5v3F+mGG1WpFzV46aiWBa8XLUSToTbLUP7OtBXUbC8DqUgW4tfHRhsR9cp8WI0Ftk5W+R13x2VFefo5NpNtYs/c37I6tDf91iIrtB5Ve+80Kjhf2vz3DhpHhy6SCNsn39KbkQK2G2VmAZCxo+7tvaGG0++L7+/kQhsKaURv4Yqj5NnmE7bqIggC11re2hxIazOi2C5Z07D8ze7IWlpuZrfbaenfiuU8JopSZ+4eqwOgIe+hrdrvnaxKUFwy0NkfK+92OQ8g0/2JrmnOhnNIiqCU2BqUokIx6vNjfk/ElTcVXioFH5v87EBSv3a6qjUNcNvvPkseIrLeHCBPU+8J9tQQ4wukB0Q3LDUCMVEQOQRFiRYwV05CRa0BeInQNmzlEAyOa+vAgtqa8Tp819c3W2POGRREDTHlcEJyxqZxLlvX1dehxCWofD45T9zvDbChoVD6fJU20CspqQe0E1KoEpmD7wb9vx6QCcagYpxWXKtCV9phsW8E0ZLyZzjgfBmp75oi8xnY+A0AZlImkgQ/m9l+jQMtmB9saihd2AInLDlLkhknS2FErEItAQ8Xn0yMe1x3CWKhdEvg5YeC8LUOEBtLmWcsPQBR1y1T8zW5ku37rIDeuFfkuMlMmnRqyHkCajCGlUoHdlzRyZeKElp20TTqYop9P1PiB7z89VgynDfUkUP5dDkQt04UiF2U/fOPemtqkGeThKSMlZkO2CFeZBIsFMC3zX4DpnVOkbTMa2OKZRj9IGpVTzcjs2TLp7ufcPXkXgV1k25zzYkIaCSiKuBYiXSYKI47ShkD0EoBbAtafmGEfLbt/5IovO6rA4g6o35mgUZqIxvIArF4/YIdxWNDrgQOMj8/Bj/bMpCah1Z4CMMsKq4/olAJNCj0wrVyzAM6Xtwxc3pNexjWjCPsAgM/grZbkchvYVadKG1IJgChfAeJpxT4rpfcPETIKpEZ0aipl3y+fV1AdhHMVFrIIwuIUGNJCQ1LoNEBi7AJI28PCgp860LLEqwITsNxJo9C14XEEV26/Nxqw9ENXjL4TFxpPyeZsAIiWOdMg0DHygHREdxN4ioJ1yplrvQxOcewOgbfDKOPm881ho/AYjDYFc74EyZNJm2DHn5OUaqcm89AKc257TncJYckIlxU3zr9fa4bU2ud7W6MYrD2VdGaDt+CiyALFkfI+tRr7OkjLqDpFSY2iD+HzhJmHeD4I4qwYT10oqyWyEh3tm2cWBhT5SMNfXpkhWJkhbQ6HzWfI3SbUROaA2ukhVaElAJawQ6XYjhiF2VuftEBoGxjZGJaJTJm8M1u6Y72V21ko91s6UBhPNCAu/Px0LQjnXmuOGLHlYZYpIQQrjRBLBEW5GQsV2veyC/AEXxPl8XVuibcafd85+i+QZDWuJ20IoKwVOgSUSPXf4XFhQDdFKALiaQVqQU1Wkws7/IoiF3rFRCRhAoNbZxjMjkc6cnUEbcqiPdB2pMOc0WTsJA29tj+sJubn6sFrZTsiq4tHVdY8A8BikcUGmaXCtUKulz7H48DgrlayGszeVRNUqyMFHZu4XTCU0aiNgDltez5AOEeu80Dlf6KuglgVdXIbCkiuvYwjSnOw854IBwIgKxk5FWjBZx0U+SC4Bp6Nw6MiLnITRIhTl3eJiQCxmvttMNTG0OjyTuMWEyQyqq4Lm4XM517veY7FWTbvJxgfBaEklH0A8IB4PSB+9cjAQ4T7qvRWTiErdDIUVsk8IAJFO5n33QmmT0PRFAAYHp06h6aO7/uALBjulzLxj2s0ATOn0lZFyESh06WYTxSb866R7ZqGM1+/VXOPK+fC27yUIx1jR5tFwflXWx+KVkedLkC83LJ1/PnavvVAv1BAUwUYT5XnHUyDpSid2qIou9QoyNuAsAlO5Yp6SFjvk7GmiMxpEuQxNbaRRmfL9LW43ptNT0SoawTqge1p4jkgXpgYWl4r0lnIFjOGiBjiXSOMFqltT1QTm8oH1gkOY2HgNieo+UQIinKouH4WEBYy/MLKe1oCgZfpI21F2Rk77DkjXAvqFHH53hFS2SoJRTE8rfCkUDmMyIeI+SFi2yanJv+3ou44Oetd6EjoCqBSkCtad4OtjkacK8aPGWGjsUCFXqu9PAjKEoCouPxesaCL+2j8EDC9Q7P5CEA6D9A0oCbF9VMyOtZ3e671a+ilKMrz9vxd342+DmgHpNi9B4o1aQDWhwDUcFMHGhY7n49KTYVBIecIp+5CgfHriOiliwWYPgie/7u3zT5FD3wVmI+K+ZOZiYhzgixC/69s9moRtvlZgfAzMgHWO7ITJQvu/kpsLdFHWo+C5+/H5kPFRVv3lPUYsJrApVhLr/3X7PLx4U8STj9wDRDar/XEhOX6ACxvuN5knyGBQl0iiloDahGEc8DuS66R9ZV2MVzAWg/RadETz4pyiTiPI8dlIB3fS46++OI1fvXVA16/PuFPPv0aP37/Bk9f7Llc7jPCUDG8viJ9WnF9nhDeUTV7fq1Y74Djz4DxqeL8ecT5u9QkSNcD4qJY7k04zRgsdaCgbUvIVKD+7ID/0/XvQbNAzpGuza4CqaLmQCFaW1sagfWOvjqZXyYk9oklgP4G128d5EpWczBDQwCr1Yt5SyCNdOLTiZs43xnMbhssWgG0o4eiNPDsP2d9Z1uvUQamUq1v37U0MRYAjT4pykxby5YrA3KsFSqJtb4lNMRDjszGuWMcr2h9u7xuK/ihELTX8PnVghwxAY6K8f1M4Yg3I2oSDE90LsTVG6HdQVozaYQaGecPm4PDka0IKOS2Ns8y8WUKrUZvPVh/Vj80tmIUfpAVaVQ9d1xrgqlA1iZd7r3aytAPsZbh3MQtGhRxrLRrKTbExEXIGtVoBapybUhTaRUiPFcbE7+CtGxO60Xr9T5LRlwLwpisrckGbfFM3QToHalIajUlFYEq6yaUBihK8UA9QEK8DW63UxzQsnpiAb4Hh73erRufLbqiwvXjmUt/XSjgQbRqM9wNfdl+LuzZLTBVy6wS+UJHIADA69ca8odmlBuiaz/zRI0HBJCN8yz9fTsC4AcXeoDYEFxzZKfYESMP2l5etfaAoNGaa3f+/ecNMdD2u9YWKdHOOJWrOqppaFSN6FnfikY7a/RCew6vL221imKOjiGhXBs8jOtOEQ+87/I0bO61z+c2i+nrG3AEANBoyqqlOyMMpr4FErHn3da5tRprS7aVSVHuC0/4bOldMVRMvVctEGcupOFFvf92vdcxWl2Wq6DaAaWMAH1N++EVCiCnjXMMtKSB/QlNmNW/BqM4NG2FhWrTUpmlrWNAKCw/0Rih1vc8iu//vt/SUm1M0FkpUW7WeGfeYIPIYbOe0RhC/ho+oLEVTF3W64VdME8jyylaWzdf5z6HpW7qrX2SOSgyL0AuJqaV0CQIgiV4RFongGpKsy3JG/t3PpcFWaluUDc+h5+TvqY9UGZPVsFN/frmNXVCOys8CSYbZK8OihyYKE1nAGsfY86/Pa73l/Z6fKCxjLZsKyldrLDXb/r99vdUoTKs/72jWkyCeQu0gHBHWn94tpZkIaCJfdkVsgI7rhco7a/7Fi624urEqJZUmDyiiBwXX0tuRyvoV7RkOJjY3Y6Nkhng7UGC9ZHHGPpmsbM1LibUOXH/p2ulP7LvLKyyI/LUtvNKVM3RF6K69owLaebuH7Wj9uVxZ/vJmTphVsRrYcJlH6Er+4Ajgj8bXSnakp7q68foypGBLBOhtHl5HIyRII0x48KQfnblPbA+MHmngz3P0KgliLMg76iaKzXcrJWwGtMGYuwongdlx7nNewuYp4KUSntudTQ+EMXKR0VIFEcKq4Ego+2rJ569NdF/YX/0jLJPWO+CBZcVQS0BvBbUw4gyDZa8IvL3knWiowK7QnTrAKgKymOCnAJ0sOSJWPJkm1zKFVG19Z33ZwqGHoZVeD6kCnm1sDrCqNl4DA1McrZlsrVy/UywvuIYhbMhfllumAF1sMA8wFBIRXhKrbVWFxtUewZDCY1Vh+r18GIJavvdYvZprECRJlLl6yRegMPJfWCOoWQ+87IKrgcCKTJvxN/cD7bgO51ZUrn7UDE8Vzz9IGH+hOjq7mu2/rx8GrAeDcAzgVZS2RW79wXDU8b5uyPWQ9ww4RTxyvVapoTy6QLMEfGJ2SeK6DH4LIcKHSviUBFEkQaO97LQIIRVMDyxhHB5BRsfACoIFkM1X0X4nDVFlDu+L4TMFa0CPCUgC/L9Fd/bf8Qvnh4Qz1xI+SDAABz3C17tr/jZkiCLAWl7teNNkC5cK/mhQFPA9U1AvCrBsADIrBjOQN4pW5nZGScVGD4G1Ou4AWG0C+JVoZlWjw0YXyKAicFZTaQKW4mF33j91kFuPiajgGozJirkTJMiR7ZBjUC1iJ4Qt7TgUQNvOi5AsrpQFR7AeQ+UMfK9s5o4Eh0mFVDkQtFrF80p9ubZdYqtZYT3woVsnLKNc1ptIjXRiBU7RF09VNEdKsndQQ6FamMeNLrYAWqlcZkrxGakjmxKHlbrr7gWOrfR23b0purxYnXG3j5jgzi1ul2jZHsg2nq2bpyiMHNhaepF5HVUOO2qZQPdYEWBGP2RtCwatBrQHOaazEmyFk8wIMopaxroFMiuoObBJsvqiQYXD0OnuRq9WFOE037cCWihbyBiLVPiWBTWAjWHyehcTlsuO8X+1RW7ccXdtCCGip988Rb65YSyUyyvmbkbPxhKOyXE3cSkwmWGbNSVG+0UPWjxtQFwc5fUaUc8aNFep7H7se1efR3VvpaY5YeJTTgS6Giq9n6ooxnTwgb0dYyoU7D6pZ78aJSkhRFHA+6shrMhj06jcbVcy3a6w9OCW0fsPFNv88AsNbOJqNrouN7fWa5UTdSNgNi27y0RXDp/mmJDuJzVUI5W638kWlPNcWL9rDRkq9Erfa+uHhxufEhL3nhAX5vKBl4kBJyWj07dBFAXQ13GCh0UJSnqwqBEMhkLYUFLrpGihs3eJQ03qJpDXFuteaMtiwDmIOpgbZMsqcUx98QK2IPWFe0nOkfFi3QrVdPjyDp4CO2JmHAMTBBvexGZiQ3B1YBv9A/fBvQs9UALSuKVhxHEfgc6sCFwbQ3zBmlJAVK4RurAwLymwFrXSsQIsKBoz6RCvDIA97YgHvB44kXtIG7LMfY1IM3h6wKGbX9vL1sSYXFBLG3UalSrDc6111IbPVm9Z19gcIc1M5kTQq8rd2FBS2xojGTtOH04kP3j/a3zFm11xMJQtmBoq2Ye5WHxAIoOYJz1pnTCmRO9XARtDLut2tT5ClgHJ/46Ou+ycB1UEzUqgyBuW0Btg/vQA5D+M2l2vo/f5h43qKJacFJ2DEwQlW1UPCBRICxkLUml+Iso50KcKh5D3yNgS7kk5rcIA4nqGhs2rrTrQL1j8i6crb1HAvRON3bbHHW3j4DV2zpahIZuA7BuCxwnHQJqCljvWLOZrlRHr4Ngvg82HhyHvDOV9XALCjDp14P/OmobF5TNvdg5u63/dYHDvAsmXibNP3KGAwStP3OcmbCoE2trPRHqegZt72yStHGprCuu2lgYnjgrY8Diuhke5Ka+DinJq2RiKCCXyJ8JW5dAgHgJCDPppWXoNssR8WbDnVZa+IBqdbiXpx1gdZxxrKhraC0lb2xdIWKss9ULn3vZHH2bCH09kU0gAo3KVoY1IuxjHyfbI3EGbXzb18IgN5K2GQKDnRAqrnHEuksozxHBkpXrUQw8EfqRIsAK6IaxsD5oU+KWFdj9IqHsFOtngIwV43HBMBSc6hEaIttimp7C9VOii1C5SQpD0JKq4SlieCaQMn5yRV4jhr/cs+Z75drLB2oHcC0IMFN4qiUVxddMVytm8oqdV8IiGH5G1eGyU5wP3e9Mz4LDzzlX9Y6B7nACwoV+r1x4Vjc7slcsEKz3ivzpCuSAOiTEqyDvI9I14PpWUHZMrpw/Z4CJ4GcG9y/VzoFVBHk/IKxdN2E9Cj7cDzeJouWV7w2jQxubQJ3WvQogAeWaUBRY89jH3exS2TMeyq8LkCri+4FAnNXeM2DnPslHMiPmJKh3CgRFSKxPll2nmv3bd9/Duw9HjBfOr74fUMeED5eEx90e9TRgMLuWnoW+BhT5QH2K6cvUlMpDYb6kRmAoQLpUlClQeX5QTO8CgoncV/PTqCOgSPcrpt2K89NkqHtoe89bmrm6Mlk2ivpt4Mm3XL91kLseIkLo2TJy0Umn8MBFgtOTaRCcauTGm5QN/t34iE73DEC2FgnpAuw+1lvVWWEbG0cDALRMuJQKmQvqLhqFCailG6ReX2JZzhW9TmOy91dHQIxnD/M/K5idM/GVkEFxl7VieUgUJQomkiTMgmqi46qTIc5rsSA30/mfRlK7rF1PWArkI7tM66sDWl/U0g+pbXa4HxK9lsRrCdOV2ap8ENKWBa12kMIX3aAD5virsFm9OdxSYRuzK9fS0VRmiowSrCo8kIJA9hmH+xmna4RUyxTZwVROgrHy4AhLpeM/SOPca+AmYeaX86QiKEc632GpiGu1YM6cWDuYXdk67xU/ePWEzw9P+HsPP8WbdML/Yf3H+NX7Edk2WFilOzS7iLSf2K7mcoWWbQshCxA2iAidIdsHd9Y2Zdi+b3fS6qDwSkyXwd82+25Bru8h7Y4Cg7XaA0phexcIkE5MlGCMyPvYmATbtRFyD7Y0CsTAOhXeiycbnObl37fBdWcBqAXOGxTX9l6vmVZgrWRY7Aau5dOFdHyATkuwhAbQ9iHVagFYokdtP2gMWB4GE20IWPc9ICWdBY2a52unBfiLq7oa+uVOnyfJQl/P28v3UKtRtEAXANQoX2mfEWJln9Y1IKeIuHB95pVOTshAzYbuWIDY6iDN85dViQSKoKlMO/LkpQlOYbWEU2i2zGzpGqBSkaaCcVpxroJqNVZrEZSZwacK++wmC6bdudpeNQa4mniryTVWSFy5NlBvbSZpbrCEJ+0138t+N9HpjFfF+My6/nXfA5WQQw+MNEBqgqwV6fEKyRXlYcc1XxTxnKFjwHwc4LXoLppWM1WsvS95q53cnDesmQLSlZn26ors22GwtRxntl5qonge4BoTQdbMdWxBK+cKpOnnAplX6PkMGQb2fLYETlv3asqp+4RWewtSwansvUkseqKhsFxCo6BYy5qwcK482RNWio9tE229Jk4gQRsduKGo9rqaQEXRROdIxgqJFTUkxheX0OyV9ximoCPXeVo7I4HoeeBzbdFDgLmVF3X3AGjj4N0EOiOs7BXhbmXtnTLxWTPVW8t1oChbZeAEZQI0hMA95TXSdpVJEJUUYDWbFSKT7xAgGLU9Hyvk9YJ6Thi+SJAqWO/ZHiieA5GqdbPeR08+kJLvwWWwpCZtUrV+sdYTdgosuUgbtGIULK+ZwBieGPTXyRLQlfMfFjq4NdIBroljVCbtyJjt03jtyXoEskEoTmXBpyHYMGZSyMD0qB3hHskAiOfMkpjW49UTndrYEHVgQt5ZeWGpSKdiNGFL4JtCed4J2y+mbkecWeDJYgX/L0WQTlx7ZccALF5DU7B2bYKMTZ1k9TWIRvFsPb2nyjrNx8hShtcL0pCx1gQt5qdt2QzFEnSVYnnDUy/PQWBN+HoXb9p4LXe2uYTfh+eK8eNKgVBP9o2b+u5BgaEipoKUKh4OV+xSxmlaMd9HPA0H1McJEAYydQT0S2m916VWhLL2TfZ6wXreQQMp/btfkFKa79iS682nZ3z3+ISfjSve3R1RnwYcfkpbJH90wg8//YAff/EJ8IuJgEihLxMfFuz3C06Xe8RLwPKm4o8+fYdfPt1j/KsdHn6yWNkB8PEPBzz/kKr+w89jS76FFSYS6XvcQLERxqqkXynnhPu/ou14/3eA/OmK8bjg4XDFu1++wt1PE1geIMgHJiKYwLS+vlEaJbrsGTjnT1b84e9/hfM64Eu8QbgGLK9Mq2VXUQ4VtfJcCFkwvWPpz/DM82t+CDj/gP5v/R731PRlxP5LIpfn71doVDIrKtg+x84Vr+/PB5u/SH+ROb8IFCA9h95eUrn+1gOQ7xTDqxkxVeR3Q0PKUQ3V/pKtppY7axl6FFQh/XkYCoYh4/P7ZxzTgh+9f4uf/+o18H403SPaE2/HqENq9G8pFJByod31wH/vv+ggnz+g+wCDjVP+ZGXt7dMOyVB3Na2UOlVgULx5dcLb/Rl/cfoOkW4frirG5gXmNyxBrAOR3/+/BblAdzYrOADVaDykE/YAt5rxBbTz9FvWxg0DJ8z9jW3AlifWTvrBATs41Gq3bu4pBmBCO8A8oHOk0altZXNwhJVN0ZnR7TSL2zdGq4VoYlhVzUna1G+Z7LvX9yFXQx8tuDaD1FEt3g9qtdrM2h2A0gMJoN+7blC75Y4Kkd6OaVuP1qh6AVaX2FEpRwJCC7QMQXTOvyNcNmYu7c1aGbsdc7CD7Yg8sk9wTIoQKoOa1O99G4wQTdh6WehoYtbm9LF43xQ8YQGYKU3DmoHHhQerC1GEFXi8Tgii+Nn0GmcrstKpAllYG2kbuKF7qkCpVObcIrkb5NzFsfzwbOMc0LKRNbJ2wJkK/gzueHiW6oYy5uvSsuNEyDygizwY3XnfIPitxchm7Bj0bX4GaY6uf79pn+LD34Lj2583kanNPTr1ENEClE19rahCi49XvXFit4IrLqjk/+aHSXNK6xSJ7JkT7WqmXY0TbS7aPXvGGWiIeaMqZRi9uo/7VmymCc8ZLdT3UjXKnDv9DskzPldS4iODEhVFujDILKZc3VgkbXyA1l5mS9H2a0Mp9t7UoQiq9B6JQF9bDDz7e0gwsQi5Dd6ciaJWAyohoAnaAY1yf0MntWSfRlDUROlwN4pRM9ZomX5HHW9YIjbGxWu/25onCoMqLdBtytumRK1GV24UfV+/jY6DZq/bOeK2RvvvOlOC84vplubYvqtP7mbOPLnq9FvXCtjOnQduvu6DQEajzfrPfa+0dW73nOgUqgWNxXpul1Z+sHkmfHNeAUu65R7Q9KTu7VxtRfRY2tLZEOKxqKjNj31voiw870wrxJg4+I9fCjR1+E0NvtPxm/5CsxObecv8qqshirGyHYoJSmlEa/m3nUtErh8mj/qAeaJ4S10H0Gwz0NdvmS0rGABtv0QPfmoffwaRfp74+wgqFBgEYmVOzpJwZF3KxjwK/x8vG+aWJ/WcyeHPt3ET2v9X2TBWNn9vNq0nKd12SltXrad9dtTWB4xrVofQEqkqjmArnALd1OTtXKpgza6ju54U8TZaec+vtr6Bhkg31kgWyNITYhwfWi1pKDV6aZl0n67R5D1pV7r/pkGBVKGjEJWMDCyBjBIVWROkxNuzovaz0NHtLUsizkol+w0QgO28WiK3CUX6We9+5Ry4wlSgKpjXhFIDlhxRa8B203cWHNBaLb68ngYEG7c3CthUAAEAAElEQVQ6kNWTD32tXJYBH9Ie19XqkaWXBKRUkaRi2i04v4nAEhCfmVwv14SLck/kO9qEL09HnM4T0gis97ExCzUC6Sm2hIAmgiheUuc9czlIDAB1rJz3OTCBIVwXLVFcBbUGyFBx+ZRzvd5X1F3FOkdI6aKjEG0Ml2ZPThE/++o1Sg4IxgRIF2mJI1fp1gDHuzhksSclJEvTFvS169o1w2MXCNSoRCadfWXrqdN/3V5L+z976toaBRHwaO121suAHCuSfW5TcF+57nUkAr3eAetDAQQIoWI3rkixYi0RTzphWRN0IXiW93ZPu612z2a8rCUTgMac89iOmiPd1kQT0Tp/J6FMgvGXAzQOiJduZ6QK6q4ivV6QhgJVwdMytWf3/VITkO79LDSbXJhwKNfut/ym67evya2sfcg7NyCOoonx1xV5Txlq7ArrIq+RPbVOxrm3XkxiqmwBanxzNONYdsBlYnuY6dEESy6sHa1jQLkXOxgKD6ZdbJS7sNCpTidm3vI+oo7svbe84sKLM5AWz8hKo7x+Wx/F4UTufg8ygdUydsOpYPxYEHJtwlFSjCawsoZLtjS3JjJDunKYM+Sy8Gdpg/quhQ6fBTRlYqafbXOA+bVgfVBUFy2oQoGMLBz/idSO3de0rF6EvhU+irMClU6oxI4WeWsWqZSvr4nGcr3n4ZaeAvIDsD/MSKHiMowoRTCOBSlUyFiRd/0wcgqU1+qwJxyL2eNCMbEw89Tf9i+VrEgfL6xpS9Fq9roQzfhUWXMkbCafzoJ3v3rAx90Rp2XEcVxQasDhkzMuzxPkMrJof1Y2vl8t6bCuqE9PKPna1nkZAusCt35vsHYbzSHVDeoHLMYI8F5ijcKs/asFHbahoYJodXbF1Cj9Gk5EsJ3qJoFOR7HWRk7Z7+/n9FaAIk+Csrd9uoBlm5sD3Om8gP3bgg+iEoXOt7EUWu9NAWmBxeqOTGxEskn3W9Jgu56bwFIpdEJ3o821Z14Y1NQxYn7D2i2nbK53rAWtCSgHjm8ToXEDWoha+nhvnX0KHplz6XVNxg5xJ6wmacJ5eU9mRzmwYXxIimm3QFWwLAk1R8RYEcYCArKCMAe2FYowahwABAyUCW5jIMVsQQVu+gSLoO4SacVzQTgvvVxhiAiHiODOsvnuYRVUO5DFHatN4sXZGFIUsmQyFaYJcti9COa4L72XsmRQuML6OHq/QmcstPryanQma2mSj9wr6drtplQejEvs2Wk6pEBwJL8lgBj85IfJbKCtKa/7E9qKWuQm0RQD5y9bIgTwQ7qzbqiKyWy0BmaKqTJr9M1NbaE7jgzmjE0xF3j/Twye6bPgzNFCY+noOEDvj0b355fM3oZlhO6StQmKTeCPCV1pKMd6RH8OBVuCFENtBRDCs4bwuUiWMxZ6cL5loHgphPdPX+47yrHVanAapwggSaGoqCooC58/fKBAUVx7+cKNCNHGtnitNQMxo6FPiXbckll8zh5IMnAgE0mDID8l1FERX18xjgWLCnIV6KgmcCLQ9/bMkfOjg31GiDf3VEZh3/tsSvFiyShDc2siEhM+po5a21rA6i2A0Mo6ADtPBa2NXWNNoQcXkmNrVzU+sk5quJCVFArX/XCuSFeiqstdMKVnSw5tdELEkyV2nsSlU6eB7lDXCGCkvUsXYHriWZGn0PaOVLZA3H+5cv3n3k4LoE+1PKSG7ALW/mthgEX6tSVeA1Bj6rW6CqPeB0NVaV+unwjmT6uVEUiz355EkAq2/ZqNSWX3GlYAM3utpov5bxcmL9335Lnb1zpLKfg1vxaK+6SKcFgRguKwmzHEijEWDLHgp1+9hnwxkGJr75HORK00AMtD7EGsAvuvM9LTCi87YH/i2IN30P5W6xfsc+rJhXQGpveBaNV9ADLwtOzpIgYDDFZLbinR/HQF4rVYSYQlzTZZj8NPIvAg0IHU5et3XClXgRzw9HGP83lCniNw4f5YPi1AUryd2Fruh5+8w/hZxl8/vcaXP3kDWQLiuwToAL0vWH9/BpaADz9+3RDRvEtMhA70Le9+wrW73APrEW1dlZE1lqEA6cnYKLuKcL9Cfjnh8PNgPWXVBDkVWKmWfA4jhv2K/HdXiACTJb4uxwnLJ50+LItg96tgdau8pvcR8qNDC7r5M4oh1sTkdD4Izt/TG6Co7C3pGEmL1osnG+35HjiPr/8Hvs/jD+knjx+FQmnGMNQErJ9mIFWkL0ZMH3ompOyB6x8sGA4LxpFr8cPXd5CfD9yjXww8cw0JT18rHn6cUXaCy5uI5UGw/INn/J3v/QI/fXyDdx+OGMaM7z08AgB+8fiA6zLg+jiZsJfi+t0MREW8XxFCRf5qj+FDQFilJRnKXpE3Y1FHCrfJKhgeKdC2+xoYnxTn7wo+/icV01eCH/zXK8JS8eFPJsxvul+W9wX/iz/7dwhQ/Muf/THefzxCq0AfqKOTxoxaIk67EWFmLCOZiPLua0W5bozTb7j+VpDcm8uzH0bzYy2EMlM20JBrDjaf8u1/7w4a0Hoz9qyY8PCpguBtQyIDsxDAjA1cAtwXjjl3nom3z2m/sy9oD+xgtFQ6FreD2TKwtrhl87akoFbAqDvtF1ZndHO547O9ilKAKkijWbmDpGDQrsmpbKYOvWNNBJMFRh+uREEq9AbRbTUmVnvUDksThmkOqaJRc1v7IQHEx9yo0J2CqUihYkwFaykQCRBRlBpa55it49OyZKH/u4+vNkS5oVPubNbK8TEUynusNhTGs9eWLcIaUILiNI8oNSCXgNDEiARNhGCTje83Em6C2pupC7dfHlD0dapt/cAP701wy/ffBJbBlkPoznlrJ+Bx/mBBv24Qr3C7h1r2GxuneJOkuXldQxrsd5vP8jl6SeP9j14bZ/7m/9u9/vJ37ab8uYX1p8myoe2L2TxmEbVT7q3EpD2CotGDt7VyvYbOUAzpY9NobYba1uFFnW8EWSSxIMUKBZDXiPJygF6s6y0qyof7ljEL6C/y8Xg5Xi8CUa552TyTBSdF2PR+O6xVbvb1N8b8xT3dzLvZ3JvaqWhMhS15xvev9vdwamBb+zCbH7Whsi3gQp8jbPeA3Uc0MZ327C3Ytc+u375Q27pw9Hyz//zsuEV89XY8FLTl7e83a/cFO+Hmu7UF+nUidhwz6QKCts6yq+Zav9o6MskCoKERW2S2rQH7WUO0Ghq9mbeNCJ2PbbPDGxvf5trtpG+qoIa0bn6+tWdtzH8NqvTi2fliAba2f3PPzZZVOsGh9GROLRGlUH1UvWXFy7328tqcvx5I9+ffsHOkjwdfyxd2hEOafb25NnZWLYF2Yw8MvQs2frr29cP38r0PONqqmwD2ZowdPbrZpzZe2z2nthcddHyxF28Q1GYne5KHP+8f3phAW3Mk/XWyZay4aTEb01hm0ZkerOeuU+1KvWUzHs1e+VrZCJRVAipe+nPT0307JW5fXGPEaeOB7xdixWB1r4wRFTFUTDEjRkV5ec6/XF/uu/g4O8tE+QOJQlR7W/fuGgEFCI05Y0kTQxLXJTRKuSoQUkU1iHt7Zt200GwP3f+frkC52yxNb+vnarwpsDOb16sHUJhqqCaRIUhSsYsZY2Twi6IIZwo5lSPvreQAsbaUjrjxrPZzykuUeHaHVXpi+ubeQeZQJXPJz29P/vka18rXSFCMY4GIQmxgQqJOBpkWG6MgfU25NgMEvTOdzSGUiZW6Go146M5FDQC27frQgQI3B9tuA5pMYAtkrlZwvZYIyFARxwIdWD7g+7Va8iVGxRALpiFDYu33v7E7Kmg6LGUMyEcm06Zpxd0wY0oZaaDPAqCxAlZrGQQvw0qVMVqo3T/2NZbBMgb3+e2qo7JtqMBAMz6n6yXViZ0IwlobANPOIvuepCAI+TG1cE59IFOqyABKtLUDM5fKfcI+Vv/x67cOcjWYQplvVhOzyHurm9hrEyAaxoxaAlbvoVdDl9wvVohvxrDs+kHTqbOAZmBdmWkpQ0Dcc4IdSW6Hg9G+4lIRL7Vl3kmRYJCYrorjL1hEno+9Zg8AhQHUanUcfYMbTKqAujqgVMX4MSMubCkha2m0q2aAgpDqgwBJRhWsJsijFVgLhWjmBThfIMPATH8Ua7OgqLuE9dWI5T7g/HlkvdaRhsSV5QDYxma9gAw0mvHJUN0jN9n4weoFDXmMVxDN3PDrr69jUwCsI19bLchY3pAagqkgTQX7MWM/rhAAuyGjRMH5OmKdE3CNbez8HssELDUQmX/i54aVhqnGAAygWuB5AQJVRgGg7gfIENFUZ4MgXcvGKWZmXnTjHOSA09MOl40KpV6ite2RJgqiAiKL+x3ip5+glhn4lU3fRrSjWG0o+1RaImDYKMT5s1rf4HiWhpjzzfqalixQVatpQ6tT4bN8c6+pDFR9XXjPYa3d4bVnID3Mx4E1amUyqm9Eo4MBaP93ASoaWemHb2CrGhbJwGofrZ3KtlZx4zzxZgTw/rhAR2nbr4VIrgcCRinUQNGhfBhQ9gHrPjSaVZ2A+bU1TI9qwRI90l5CIBRae/YP4rd41ZsA4OZ+zanlvDJTO79GE2rTCOhI2laKFXe7GVXp6OYSsMwDluvANXUKvR67GEvgrEhz7wPb1q6tY1I2zTFytHLJTTRLrWVSHSMQaW+i1VwCTHIBgpKB5WnAdSG1TJZwg3R4/TdCAPY7SAicn42qcx0Dgu0lt2819SCKjhmYpd/TsQxzDzK2Kooho7UeuUERG6VRm72XCqslFcjANesIm1RlD1QNCHNBtNKPYCrBOcVGxcyTBRIZAPTGgfd9WVN3KFqCQHWTINNWFx/WirCUG8eRtNXQmDWNvmzzBgD1OEFf7RE/XiBfvqM9f3VHmuaOc17ud8j3I8ouYD1wjz7/QKxVVWWfwqBtTOM5IGQydGSxrgTWCibMdHijCR3drmtm0LxViwtuiaG43jqMSr7GBIoKGSpLRBJbrJARr6jes9LmTr3GPpiYUdMP4Ji0/qEpoByttsTqObtCdWE7PU90Jcv6OdK6APEiGJ4C6lWR84R5GCGzIC3UACGKbfMswuTEskJqtTnqUE5YWKfm53ne85zLdzzn1jtlRwLx8VcGYtXPDNsvE4CF9XAAehA3Aos/iyc/zdsaHgXDSa0/ag803WGVlvilHY8ry6IgfH9H6L12btvLWzZsKXfi6wCUxNre3Xt2qri+foEwGmJKhDL1RL75Uy4OOT6aGKb5N2Xi2RyXinDJ0CEgDqEhw6KKvIvIh4DlGDC/2QioCbC+qkivyIypqyUszmT6xVmAFexKUGAlDExsxYVnajAGmitaA529o4Gobt4L5rdqa50oWj0WRAAhKO52M0QUS464Lr0VZUoF1zcFeaavGiOwFGojDBfF+Ei/Yz3yecs+YA4T4lyRziv3wJn2Ph+t1VISVDub735Kptj8yYi8C0gnAF5fX0ZjK1UgEf1FUtK2/ax20xaELClXed+o9o9PivkVKcHpSTB9FXuSIwKXz6WJSMkd29fEWBFiRVXgvA74eN1hzRFFBYe3Z1zPI8a/3mN6p9AYsewSg7LPLyglYB4nEwIDXDwqH3merq+ZZdj9YsD4EfA+4K4FoAGYvoyo7wJCoZJwGRX5vpdKQAAUYe/bKljyBARF3GfEWFFOCfEptt69EGB+SyGpdBbEi/BsH+n3jB+5n0/fZ9zhCs4AML13Q8o9ud6h6dpAWHY5fiDauftIJHg9CD7+MKAcFPkPrjgcF1zKPWtaCyAnvl/Yr3hzf8a7UHF5O5Ax4z5qEcynEeuS8CwKPSWrv6fitwZtdbvn7yue/yAy8X+30i/66oh/+dWf4+HTE/7u93+Op2WHv/74CuuacH0egTVguF9w950nLDnhehlRs2B9t4Os9BsAjs9wYv1wflWh+wI5WZs6FbJeFKj7aor49E/SVTB8jKhR8cU/3PE1JsraSleXgP/LT/4cIVQsS0IaCtbnCcOHiHJQXAHoGjC+Y9uoau21/Gz7mwIwfytIrvd9u0EvBn7BUdyoLTIPiTSzlpEusKDP37AbbUcRHZ1hoOVpXmkUwzJy47vozhaNcOeSQUyn0wRrMiw70utabR/s7b0HqNkMPxT8YHTUJ6j1n5xLV0mt0noB+uXiRQBI/cqe8VMLCIQoZc6QGI32JZu/Z1/DvA9Y7u3w2vtBvVHEdCM2MKsYrD8YgI3gFBvB52kjhrTSuYuXYpn22OhsdST1ZL3X3sdtKhgPKx6OV8RQMViPpRKJ5NYSUOcIMYpNexQBXBFyW/vTaGr2e9Zhsb4X3kjeERK/grB21yy3bHt6epBbAZ0jijssopBMJdzu5Pb30xQhu+kmY9ZqTi3jXwZ0VUTxhMwGLQK6w+/r3LKBzlRwhFsrmuAC15jcBoxu92yf1SJIoAibWpa0va45R2jZ7TIYRSr67/trsVnDLiTS3sNqraigakFb6bRE7wF6U2MHwJE/gf18K6hkv0cufR5F7LALFFpypsIU2vorO1uDe4UeeVCKAJo9ecSUrArrj52SWgcuutY/8dsQe1jg1TKiVpvSaq2Z6UyRTAVf5zkxC7nMAwVMitwIjnnGOK7ahad8XcDGOAgTMqJN1E4t6Qfobasw/+7vuxjSA0WwPuVhDhQHMjplq1lz2rbVzYVg++gFSnzDrvGk5QtnuL12qEAWyMYJUDEAcIucK27l/v2MsL+rBre2dm4mmKUBdK6BVrcZTJuAe0o3bITO6gG6zW5osX3Jdv3783jA66wQ/51RyuF6CN7OSgSIAFIwdWgAMBtmgVoZI+oUER8Fer4AO23v4fWIdYwUmLKEaRmBfK+so5oqwlSYuFKyn6q39rA10BCD2td2o963mltDFNHZEMHPHTs/b7QbkgJjbQ4XaZL8qqFCtkW72ySRjyvQ7cNLhMn2GG0OXxysRKRR1e01XfQOHaFeGcyjCmIAdN7U0Hlw50gdwODWHH6e6d35d/E5A2lbkrGY39IYUe3WpSfADVF2AZmbdiri/gHfo9nbzbqLl75WvSf6dm94gOtMiW1d9bb0oiHOTZtAIZCb8dIAqJUYUBCuYg0BeWdnROl2Soq2seDn2nPNlUt+VoRLj640BtRxbHXNHG8/x6UnQcUTZkxus3c571d3FdNupX5BCigloKx21lttMTcLt52YsjK29mVb/yz98z1w8rrPMimd9JFBHACEQHoyAMyakGtALhGrKIIoZJ+hEtkCqVgJQQXSTL/FfbIqJuK2k66/UE2bRWBZbWnsOFkU6ZFBbr4bUEYmLvXKh/C2ShoDqrJMAMCNz9JZMwaobLUAfJ2vzkxUxFUwfdS2TmuimE8pAiRFTBUSKlIimqcqWEvEeR6xzAkxVdztZ5QSEK8MoOOV556MiuNhxloiTrsBKhu4PzEZpEkRjqv5qENTthflOb3c89/hAqQqTWyuTAp9vfJg8fp4FWqqWN0un8fGaGWimYJwBtC8LcBYUWpiqcdIMSiZTZ26WH/eVwUaItLVRPQu5gNZS9Q6KfKd2RQVIKMladMFmD5UlCFifaXI9wWvHy54tb/ix9MR3nPdE+BpKLifZtR7wWXKDbW9LgM+vj9Cl8C5CUrkvQJs21XRmIPKmmh8Mtv8sCTv/LM7pOeA/CbgDw/v8GO8xY+ub5GXxDGs/Pzv3D3j47zDskTUkphIXTZsAe33q2NF2mXkOQCzvcbKsTz4bGdAZslYTYrLd2yvWSmFg5dSBKd3eyAqhh1FPGUNFKcKwLoGwALudGX3q5L6Pv+NrJ3N9bdSk9uy+NWzfgIXZQhXQc0JpQjOxajK18CFaBQVr7kB0Ope4gL2VH3g4gsrkKxWJu8BmfyA2zjaQMsKUblOrQbCHMnUDwYAGxVeFmk7HVqzUS1GZgqH062wRp7oMDTaYxRcPxmt7rewRsJqEwE0albrTRcEZT9QUMbVlV1RdjdC9Mg6oj3VQ2VMgFJ+P++IIDYkyhZYtZrBLd1Dl9AOGaen+iZzARjAnYP+jHUKDYVmTa+JQ3iWSQCMVHJ9+3DCDx/eYakR7+eD0ZMpmlBVaACtJ6873E0hG+acRrvBLA15dCVgb1UAd3pWQ8qtV7C3ihKAAQEMPXums1yHCFd7c6QTAKkwC7r6ZaZqqswrHaN5AWrnQ5AeLW0sQwHqxnGPF6NpxHaeMSutuHWCPPhZfQ0CGLy2Fw1d4T3i1rkxGojAD3YbwyREdFd6AqJck3kfuljTlnZu/94G3FWYbfUeeexr2sXXarK+1FXYF7MKgoQ2Hy3Q3eyTG0XTjShV++7Bb4rQYMiYzXnZUUV5eSCCu7zmYVePBXEqG/85oO5YJ8619f/l7U97JUmyLEHsXBFRVVvee77FkpFZmVXd09U9MwQHnAHBDwQIEPwF/B38QwT4a4gBSIIYAtPT4LCXWrqqMjMyMiJ8eYstqrJcfjj3iqp5ZGU3kIUxwOHu75mZqspy5S7nnrMJypQVm55kgK9/+5k5Iy5F5LYH7oAOCp2YPR72GYdpQRClzrMKahNUNRbjTJtGp0tW+RBLHrQRKIfYEQu9ly4Rzk9CHiEJCgDdEInckNCBzhVmQJodmnbQUHePFUGXaPMKlz+zS9QgsALJOVud/3QtCNrMCY+2bjYJTGyCCOXepkyKdHu09kJrX1vbXtDeYjKu30NoF+/VEwMhyzpPUQwWFSnV5HD9Dvdk3zCr2ut8e3Wg9/IVXqMneew9dYqW9KQdjFevziZTD9A+Dzr6SasIC/UvZTbnP5rtLM1gigHh7gikBC3s5XVZLM6tApM74UxYOJFHCEZz1ADERrk8YE1WWbLA7UFPVFqyx6tpRHTY0jabUsdgzLYMPMqB1WM9VEx3M8ax4O3hgqaCH5+PWJZEAiZDCGwTCg7zpqawoO4SQm2IVsltU0QdAu1HZiAUt7rCn8Hn1eT0wsKKPZM6rOyR80M6m3B/rrySr4jvHREic0T4PRvnf34dsF9g0jYc17qjBmaLyt7WHFk92nhJTpajRoBJ5QWs0P2t4+WBrRW+oVgT6MrP5CM/n2ZF2PQzE9lmfenWA+jr2qG+ZUeUjSYG2wjmqB9tD81rO0NYgHwneLYeck/2hWVdI06i2ZP6hmgMczNOBqBNm8EIIJrC/AcdqU/cpb0ssbbcR1zf2JyNvNdyVOiomF5f8eX9C4OpZUCuERcV1CWg5QFhMZivtf7EqwW6PsSfJUKg2nsm6wRD5pjvEhSyq0hjQbCK5TQUHIYFVQM+nA5Y5oTLZSSxUQ7AJSIsoSsUsFJv/e9LgjOdJ13XVkuC5ZXxTPQEB+8pXhrSY11t+gauPpxZCSw7+qt1YmUREGBhBdarjHEhj4j3kut+AEyxAxsiz/PXATrxXGyJvcgtrdXIdBEMv05YXinKGwZUxu2G08JCgLcblpGw7loi5rdub5VkWcuIT08DJAfs3hPKTJuC7ndqEFQdQSlIxeUr6QlY3zcaKLfTJrWKtaBNisPDFUOsOJ0nlBwZR2TPXNpnL4l9mkFRTPar3FlC8BqAS8DwwkpuK7xYj10E2P0gwI+p3xPvhb5TP08GW/fXgN3v+flyVFzuGUcs9wnzG6B+fcUwVuQa8eG8hxwKzr+UDg2O+4q/fPce76YTvn/+M7x8OLAPdSqoOSK8H9iHuklWx9l8vZoscUkfJcyC+mFCnpi8EQF0X5GT4pgqnsoeTQV3hxl5KtA7QuCnoeBx3uHj8wHl/R6ycGxClj4mLaKjL4b3Ce0xItqSdF8HjUgaNGB5BeT7YIkd+sXjo+2d0c99+lTpKeDwLRElL38xIN8XiCjyA3t9475AJ8H1a0Gw/vtgwXXd3bqaf+z1Jwe5foCqrs5k2DjHwbKttUa0KoShmN6cQ0ycHawNNMQAEE80ustrIf32OQAnrulmbGxxWLO48crD0HsaQ25Il4IWA9rI4KdXmS3orANJPepOkI88JEQFulDbqxzIkuoMxKwI8/pFOLHDmb1p+TUndpcEYxDEuXYcOq8tdGSbmqZpZKZySqxWOqnUNADm8Ndd6v0bEKAcIwl4Bv/SNWiXQ8H9wwW1BeQc0WpAQSKLsN0EDTPH3dmw+yG4CZrqhnHUN3vZ680BHoaKaZfxi7tH/Lev/gHfLw94yRMDW1hMY+mWbd9gWNCZHbcbSYSEY2rvV5iBF1izeVkDqnkBWoLKYGuQcgxOvJCubaU7Bw/JaHA+z4C2gYF7J2jJyuA5FyBn6PVWQugGHeBBk+8ydeigHah73SQVNhqK2yC38fucAbCNm8y/BwoOj8vuwNrFsXkW75cECKt0qOkQuoPkcMSVEMQO67RG/WI/c5hXMKiPuIOs/FlcNqcRGmIRzotVCNcFYvMfrVpY/ZRom4o9g2ANgZV6q4w5vLrsqUVX9wZz2jHAHYZKev8aoENDnSqQBC0EoiBNDibY2PX5gu8Bq0abU172ocP+ek+e9dLoviKMFftdxt24oKlgLgnVEzktQA0VwGSR9H4fZ3PvxCd7c/SrVegMkimF89B8DYNBL6oSvlwausCyAtEJviwrHReB1GDICCY1nMXb2y28b8gTefyPQkuBtrU6Ey8FQQsrCE5Ks+3p95ev5cZ16ba8H26LSZV5QLb5uxmcsxz1NnC2igQTl4JO1GQJL65rQdsbi/3cbu6nRZhTiLWCZBAph56HRTBE+73nX0ZBsQRcunL+Rl0TqBoEYTGYtJAQTQWIl0x7dFkg5yuTNcd9n7+w8Bp6d7A9UBlopdGSiLSFADYOLdeQAgixWd6IUZJGBr3UsZWVYAxux5XJgbJWckW342QtNpZgKDtgeVASiBgscjgseH13wevdBf+rV7/DpY3470//BbWhrxHhGuDQcrUKsSf9fD/VibBTIpsUdQgox4h0aUgWuIZcbe1v5tDmxCWHCBX39giS9aQr7VreS0+UtIFrJl3WhOXaIOewCb0JpufXgv33wPBcbQ7iakuDEdfVlQOAFVNL2hihoBTpQaK3gPTqwjbA7RVue0bfygnI0f0IPqvvt5AJx29joGayERRRRxwrH8f+NgivE0k+pQjqLJAs2H3gNcoRmN8J4gXYvV9ltIK16zg6ossGWQ9xzA3hnNF2CfWw6tIDjsJqto9I6Fl3hlgzJvh8FMxvneSMCcn2UJD2BV88nPDLu494yRM+xgMWk+7JQ8RyTsCJcHhRnoXpzLVWJ6zM2MqkrLcYUDEDJikDysfYeh3Ggv0uIwaSFO2HgkNasLSEnCPyNfV1Httqz8V4H7y3FxBIY8vb4buCmBtVABJb2fKR67QaspCM1YpxaRg+nHlWWqLe10Y6V6RTIbQ5JJQ9/WG1pItkYDgD02PbsGBb9X2XEATUQt80uV+/UgxK29YGS4LsFfHnZwK5/qc73P1WcS6C8xD7OpYKTB9Ysc0PinyvaDvBbC1Y9XVD2dPA0MdnRTRkYPrAtXX5UrC8Mv6c7H5FsAQEA9F4YeWuIyYFKG8Ldq+vuD5OkA8DdFB8/fCMfcr4Vh5wmUfMpxFaA7byl+EcGAAdG3BvsHoBNAcMPwysCJ6ZKKnFf4mOQjn8XjE9VZRdQD5QLnN54Hplgs3WXOQz3/+6AQq8/28E5cuMcozIDwH5dcXXXz4hhob3T0eUPGI6ZOxen3GYFnxzfMIhLfhnh/cIUPy/y58jfhjQRkXeRcjCREG8AuOTIl20I8w0MNHRkmB5zf3PBF+gROhdQkwV8cADeRoKToXZ5Fd7IgfuxxlJKn5/vsfjeY/5ZcL0PvRzXDZjoglY9ky8Tj8KpAnmN0rST5MpCwswfuI8nH7Z0F4VhE8J04eAdAX23zPpeHkXUA7mQkfF8CT4+n94oa3ZH3HRBB0U5YG+3n7PItOcKjkYvt0R0g87L/8z8cr/tMRTsllwHmBsss46WOa/2gFRGWBoIDvzVq+v7gQVBhsc2oZ0xyosgQGENEBtc9Bp4AGhESi7zcG1edHRX+/NN38voxd0chvIeuDdsHVagLHN8KiYEzZY6hH4rLKFXtHyHpfey9Ua2Wq9ryKakweHrkg3PtKDed5jmxqGseAwLbguA+brQDi4ZVnYI8SN2TP+mx7MXmEWBuPOROiwyHQFhmerRh0bnenIRv+lJXzMR5wqe61UBedlYOb/GiGL3cNgQ+EBWaf9Xx2PLlBvMETBevBy3gTtboTsB9xUBDN7nFscTKOPyQdnevXq0hbGzHGX7hT1wCsSAvOHXt53xvvX7qiqPVeLa4DKg1d6FrP/sTH1w6kNQoIHH3+DwMEYEKQBzaBXW3JQZyGnHI5l9UbrfTbnxAOTZrA4h2057KbFde49q09iN/RgPuiaJIGwj2x15HiohMFKFR16v51Pv2EGt+sYSifnIVlHg0pkkBfW9d0JYMbWA9xhKGgtoMVGeFt0DxPwfnSN7HU2JDC2cl/rflztVYe7xc11kyIMlZqFBmlrNh4O5SplJb6R6oGuj9dm7ZjzrAZF6+QkzX8n6/v83kRtDyjHr2j3X5g0M41pFcRk1YVBOipjrXBor2BHlyerlaRtn71aCsAUO5mFGmlMWNB7DR1q5Jnmz1ESPcFj02xLp6Nbe+bdxsSXl8M8pa3JnP6RqrZJgg2N9r3I36MnY7b36bDz/nwDe1M9yeT3EQLHvBXC4L3tRZTtHKIBzcp1nfHd108IXSf35n59EMaB8zfnDiGm/nFA2UdDBgGu7a2HirgrGIaKWgPPhQAmOtq6PjvMtH02j+b0b+GMDhmtVoliosF70xTYrfurqSC3iE/5gFMd1zW+hM5kTpIca5XoTpGs829rSQzK58gqbxmqka5H6NJ6rJz3pG4zPeLNGm0aEAOdzmS2kpXdNWDrBIoAP1vKbaBrr7BwHOsUUPZhZeQt67x6kiBY0Vnbev5DLbnk578X9z0ZtJqWFQFlhFXUs5VudzRwTX7us92gf7yCm7Y2wn42qAVyfp31dwG02R781R2d03KgQ+sJzTgzQdLXyyYB02KA7BM0ho5A6RwZyv0a5krmbE2QmqyVx2xYtQrsaGdTVMRdxeEwY4gV5zJiaQlqDxaE8Hiv4HvSsLea+BmKjS8khmZqSlSGo7e2574AMSpGs+dRSJb5nHfIFlyH1KhHPihkFt53Yc9l8Iq93PbDV1PrcAI5J0qEbM5XR/0FQdsPaENEuR/ohybp9qyN9FnjQt+TOqiywrILOsuwc9jw7Gk9cer668A6BiuvDDWEW43shXyjeBEL5g4M2sK8Vjh7IulYgaBoJr0YDMpeD0wE1yWg7gPC1Rmvef/BCK3YeqibJAE6Usxtdj6qJd6B+UKHuu4bkBo+XXY4p4GcGPuZ9z4OqEsEnpKdvethk0baznYlvLkcmsHwHUEDTB9suwzrOqpj6GoZHYZvcYUUmw9NiDNwfcPvirNCP6SOnpIl4Om8Q0qV/c0hd8kzX3NRFNc2IMKg4YPFBTODzZZgCB/zZxJ6i6Tr0UMByehwXqjgek7QcZ3/Ty97/FX7su/VGBRjqEAClpKwLFz35Wh20/3uzLlzrhkmmtETnM6E3lE2C/+dToIcOBZ12hAAq/QzK14YH5E9nmS68UrWZC/IFAXmfTI74GuIspzq3DH/maXcPz3I9XPDg0nhATs+WfXC+xZVGORm6j2FSrKGUMz4HtfNqAHIrxiY5VcV4VgIDzQoX91rD1Ddi1KDoA2nipAV+RhR70jaEK+tL1aFHfZeuTEZGHw1Y5oKagms0jSBVkG+JEiJvUSuUSk+7pneSbqDJwrkGZAazAGJdK6tchRyQKh0VoPJAsHgyt5PIXNhpRLmKEUSN9SR2dGYFdUgpW00+Oax4PX9Bd8cn/CtvsLjEtkjmL2PRJETMKggPAJhUQsCvY9XegDSIpglD4RQxVkRPiiGZ8H8WrC8pVFLifJAz8uEvz59iaUmVA3ILeDlaQ89J4SzNbAHGrBQgOEswEKHZDi1DuNxg6oqiJfGDHFpvUqrIwkultcD6iiUcXpaSFwyF8Aq9vmYkC4V4+MCjQG7fbQ5lhunuBPQNEW82gYX68ct5hXfvJ9QUneQhwthbvlOIBGoVgmFoBtbJ5sS6//qB05RwvM9qFVzAAKhHO3ouGTrGzZ2v5jduV4htuMz4fE6BJQ7VrbZk8dEDoMVg0PugOVVo0O0Y+XGA0NZAtJzMEdUKPEZN620AiIxrKLs/dSEbg08xJfWnVV0iGkASkPIBagNMg6s1AzJZHEAyQXSBHqc0AZCrJsldtpAxvDhuOD+eMUQG1Igu7EzBdYS2S6nsffDupauV6J7T65qt0fcpLRXas6t95+3qQFjw7gr2I0ZY6LnrCpES9SAZU6oJRCqbPT2cd4EXJ/ZSI1ibOeEC8mi3fF2kpktS7EisDpfmLMMS+29qRAg5Ip4LWgpMOmSaO9cC3OtwHOeQ6bkmlwW6kAH4STLeiiWQ4IcE5qtdT+YhpPLZlhf5wIMzwGuO0kda1sqhSQ27hB637n5ztgmYIhE4RjUaXX8u8Pv1d3FUTDmjVhvm+ugO8zSpXXmtw06KvRYEIaGdk4I58iWFXcQzGluG2i3kyBmy1JrWMc2DOs4oSlCCpAFhCiPQw+ORBVYCtfaNKDeT5C5Is4ZUhtaCGhDRD4mXN9GylSNQJsAeTfj9cMZMZDldc4JZ2MSdU10r06LwZO78+/mwRMaV66XfBfREqufbbRkXDIU07FBdxX3b0+437GnLpeIZ0z4W32HpUYs1wHIgdDGR0tOm9MfOySf37kmI4B6SEBTxNwQnwq8r7zFgHKIDAIKK4lxNtk4Gz+pinCagVwg04iw9wRmQohi9nP1OXpgD3SmUskVupgcX4xchPYan5nkW15FLEdBflgRP2EB6h4rM+yG5IcBO9YEKtZAwINb2l5d7fu42m9RIsTqnmuNqAdBXAIDzcVIpizZ2yuUAhTzW3im2Hm9Iz/G9PaC/ZTx+HgAHgfuualRCuVe0Ba77qHRlwjcu9n65Hbv0YNcn4NwsXncBZTDRHm/U6GN3tO3qzuelbvvK+KPTwh3ByyvRpPPoU2LWbH7YC1Pws8d78/4i9cfcC4jfrzc0fYYbDzF2mH6YaEtSefVjgIWtDlMOgHIQLywKt8GGpg68azSDSP4MBTcTTP2KWMXM57zDr9/vkOtVIOIQ+VZNwToMmD6YEjB2YNUWDsczH8Brm/iTTvHzVrZ9MqHzFYsfT0h3yc8/xn3wP6HhuFM4p6SiBEfXhrSxfzdcUUYqFD6LGYm8ulXGjkeQJLCuC5YWQQpM8mgCezAUsH1EoE9sPsXT5iGjFgjSomYrwMwT5C2tu+U1xUPX73gch2QP+0MwWC9329m/Bdf/4gGtvD8+HLEfH0D/WRn1ELbVnYMYOuhAYFV13CVTpSW7xT41QXjWHB5v4e8H6H7BnmzQBT4+P4ekhp++dVH/Oz4hAD2TP+Hj1/i/cd3hOZbCxgGxeuHMz49HYCniTDxL68YxoLL9weMHyMOvxO8+XczNAW8/Dx1HVaPDepuTbg6yV+YgfGR63G5Fzz/c0aEh98EHH9DXp98oA24/HgApoo3717wsJtxLQlLiUzg2EJ+JqMnYdjHCrkEDI/BbCeJ/jQJ4mG1cy0yIEUA4pkymeMjsP/QMD8IyiGRsNBQJ8vjgI/lSPTJXUEYySNy1AWn64h8HkkA+bMZan3oqoL8aUR6NjIrSzTEvWUPv91h/CS9pau3ilh/8vgkWO4JO9apIt5naAPSP+wwPgrGT0D8Pfud80OCimB8opZxM66b5RoxjyPJDx2aPTXke9vTV7nl+fgjr38SduUtlNMzujeEJe5QFFkP5M1r21exzV56lqB503X/PunVvv4+/en3dkfJnUx3rMJnfyIQU8U4FMD6IUsNKCUiq6AeAquRyQ6uDZV2zwKZz8zKkzmxYXVE/H56dvPz7PsfG2NxmKn0e+7ZYqP9HiKDzhTaZjC80qD2nGvPj8O6V8mXzThuKp5OBNP7Mf1Xyn7EpUa85Am1BcwlYSkJOhvcZxE7ZLQLt6+BHsfFe1y2MErP/og5uM5U3QPhLitlgatJLXEtbYiR0NjHEATUTF7XhWfpu1yCESmtUNpb2A+Am7Xbobm+VvvAbN67nQr/WdlUGv7A6yd74x99o3l2LreEzSHb19n6b7VKURvZCyVTRRhYzlIFWoioxhq6ZsFlzZYx5t5oRdJxkCqIA3ujQ+SiV+svvZFPkc/+f8NWKzdVsD/4MniwmCFu9m+xARb5ydvXn9k8b1EDfXDdZm1sGD67zWaBrcOUq5GTtBbQOlRZ1mDvM7vUL3ezfiwI96D1s5fVzxnEWZ8njAF41Y5mOpM2plF2Icnt+vI17hVdZ7wF4IRfNw8cPh9Ie+tndlYaAKuudKkPu65rs4pwbXWUyB+AdPpg/MR2/6GX720F1MqHAl3nMaKvcx140KepYpwyrgq0Zkm/ALgECSvpColc020AJDAxqBb89qq8j4FxAPQx9N7zsFl0zlo9xB709fdHQ+cMrKw2q6y6vIc6iuMPDUovl2/H7/ZPr5SoQrHagc/PaX6dfrbeadelBlxLwpxTh+P3ZJ2zlDuPw+Z87S0UUBsbsIcfuKnmb9sbtj5DRxb5fFdWc9XOqFC0E97xmnKD1gAAl4a7kS5rRIv0aVB+toZ1zQBm9wB4q8l2P/u56FUdOMrEz/7t1uljvY6vtwgFANjs0a3t6T3oauf+9js3Z02XnRoUGBsejle83Z+xlIjzbJmpAMCqMQrp/YSaFGVnwbRyjujkW9Uw0a4nb68KXKuhyO0Z42eygInLyKoMAm5sWoc+WkKb7UkWQGvAXOn8fzZ8cG4E3XBR9AW0HQsfvyB9kXWf0qu5tvZaC8g1YgyVySavEinbX5qK9XuyD9fbAByhs1X78Gptv5cbvwIrjL+z6vOZ2hBWhmnfq3+gKiVqyh5Y/TYmDhXeirJKY25s+vY7LPEXqqKMJks2KWBIvCFWjKlyXJQtEHVsUAmdZ0SyYMkJtZBEVCyJrwBaCXhaJgyhYZ+YDD7vjAhxO//e8uJzt7VJkeMgm8PR7a46Mqtw8GJo2MeM3CKaCoOypGgVCFbwCiMJnZ7Tjv6LwAi1KmDSdyT1spYOQzf6wmsD2xV7ggpAu1Ki1OfEodWE0uO2j93nVIAU6ZtfC0nN5hpxralLMwF8j0wVuG6KQoPtXyuSkAwPvZqKjS/Rz1azBzoYL1L3t2m7W2XhDkAPZlE9AcT916zA5+1X7vjpQMQMhL68r1sv6Hh12ZEmbNOjNBJDDNrSjgIy36GOAU4Qp4k/C7NVii256z5qMCTRT8hi/xOvPznIzXcBYSc9UNHAitH1C6Al62m1wU4nMyg2QF75ihfF9NHhWtxo0ycaynSKqDsSQDjRxPC8EqsEq564REbZBYSBG384sb8kzhVtCJhfRXMsZO3ZOLIynBJJCP7s/hPejBc8lwlPyw7XMuDj6z3mJWH54YBw4WS3Ox4EHQYiHPh0FrSLZVkTTOoDiEuzLHwgk605a14q02TEO1yBlpGzzP3I7FLei4lR24LqhoIwiF3MuBtn7I4L8pJQykgnzrLKvpAqBPMD73d8MZhXY6O/LIp0Zoaq7Iz1c6MZGhZBjRTjBnhoXIwwYp4Typww/j71nlixjeKGYHghLCqdSWZRELtAfNmJZcEjovXdeYUm5GaQWsItpQFtNDicOTRhaRgKDb5aL2iYqak7NCUMKaBD4tyh8CpRmDOwZB4Y43DrnAImK4XeL+qV4JAFwZIjfnB1w7lxkuKVa1Ij+8HVmasNHuxVUrxEe/+6zj2rrUGgbe296/1UhRldNRikEympWCbVeszxOmOcCt7cn3E/sec4QDHXhKfrhKUknB53wBIQLpHZVvD+vdodMlDN0Hf24qoIC+csnQKRCqV1SRU97NB7c1tjhSYXIEa0w9TZs93Bc6hXNCmCfB7wrIJ6mPFqf0VVwXke+0GHoaEFfrA7Ysr9FzJlseLculOMAEJfrMrv8ipc1CC5jgJLHFFywlkUEprFNIpWA+opsQL+FGiTvLJVmaV0KKlGZvTTua1BkhIqWSX0JAQZCWuH0ooAbZegEwMld/gpA+RET+z1jy8LM+R5wErmtjqiXE+FPAGtASlBzDGVTYUrzhVBKnQRyIE90hoc5srvcZbbbcAuCguC1CSLFCGCxFyJ/YC92mX7RH2OroRG8XAzZ/KzoIwbcA1YBGZTRZDvI+oUML8SXL8w6KbJ1v3ii0/4+fERH+YDnpcJ53nE82mHlgPq80DmdwuIw5VQtVAoJRUqkF4IvYvZUC2FaCHOkdBuJ57SHVZelWiceSFK4coqr6YIpIi6H1AO5FeoE4nVHManjyM+zRHT/YyH45VOh2J1vq2VYgur94pR5zqw31eHnXvS0GCfbTOmkmkTXx73OJ+nrpO4ADhdJtQSEZ4S4kWQTjZHjoqoa1+gKHqleSV24zXqECBxRTHFUhGtatvXKkCSwabA4hFCgKZI+awhQmpDei7m4NHOtymhjSaLYsFEcp362iD7PXRZoOcLtF77OldBP0fLbq1aeY4nXQFcVvscHHLrAa+S6bONticWdAcZ5kTXQ1vXbgClWgCM7+Pah2jote4jnRvSufLc3QXbx3QkkxHI5TtyFeQHhbxacH93xf/5l/8G/9vD3+L/9e4v8T9++iUuZcDH6x5zTnjZ7QjrtKBdjw31dUbJAemHgTb2C8Hyeg3q4xW4/1YRZvQWrNqcjGstYDA5I1heD2jDO0NTRXTyz6YorwLmdySwnN9V6KiY84DfPL/GnBNyiUip4jgRwabeEjI15AdBXXh9wkWxEjL2wI7jne8ie7dNxoQcEua3zDT65+cJOUc8muRhEMXDbsZcEn58fICcKQOXrtJbNDQIhlNFXBT5EICJz3J9FxBm4OHXBWFpmF8nlL30tpBg8wlVlENE3VuLiSVpxif+HY27wX/XkqAceB6muQFX9LPEiSSlWT/5bIjAvifWHmlfx7HSt5vfKvRfnTAMFcfEc/l0mfD0vEczUjnsKr741SfMJSK/f4Pdj4qwRJT39xjM19SwoinTbyd8+puvkR8a5JsrRBT1ZwvOXwjip4R0CmyNGmkT4tlg7gNRJLUKW0oCoB92yKJGdmXvfZnIj7FvQKqYYsF9uuJ//vQNfvP+NUQUu29OaE0o41cFf/7VR/x3b3+N2gJ+nY68Xo3ImcF9PTRcvgp4H0f2kz4p0ln7ul4egOVfXkzijmoWdRpJ+vUsnaRt/BD6GZXvKDu4vKnQQ8X9FydMicF2lIbzMuDlaY/rMOK6DJiGgp8dn7FLGW/3Z4xfFXx7/gKH79VkdhgT7n9Q3P2u4vEvEp5+URGvAXf/wDV2+ZIEYm0UlGPA/Fbx8JcfEYPi4797i+l9IKGYyTZRc1lwHBe8253wW3lFP6eQ6E1KwPCBgaT3LhMJaz3Arya0EZjfKK5fNIyPgt2PrHo//QubY0tKjI8Bx197/zV5KtIFnaskWMJofiDi4vmfAeVYcfg24vAdJYt4eAhwjoiL4O7vA47fVeRDwPIKKP+L6eRuKmu9T3SQ3gvV8nowuLZXh3bYn2BU3dUyTQ5jYrQuBmkWtHsahZDXfgh38HvmJwqamIEtFhAVLm7vlbghQTGZohCY1Xo3nfH19IRj2WEXM651wC5lPC8Tvv2wBzRw00WvyK0ZK2b3sPY8Dbx/r5T2ipFl/G/77+xPMLIX0w/t0hiWce6EC7cJOzr69veQSMxTgmWyBUDcSKJEoIn3GbunirXis9BIOkS6Z9sEzJIXQSsB1WEETVBKQLkO0GtEOnOTuCyBV26lEQItBsGSsgY0WwZUD5yYEbUewypWtQS8+kx9OLD3y7P+XX5EehArYDY6NEKCmn+3sXBKNXKfDeOnhAD5SSV3TZ05gYtYErVnltrqvP+kqlfpHLZBUCbc7Jk+BxUQOCnNhvSieZBp+6P3c/tnbWw247it2rdE2G8aC6Yp4/XugtfTBUkagjQsLWGX9riWgQQcIVmWO2CLxKibYJ49NYo6M0OoogYXC+v9+e05m6z3pFuw66RTLVk1flvh9TGsAHJAHQJqC72yWlsgs3EvL97uC9ms6Zv7CZZd/AMIiR6wWSCpOaxt9RK6tIo2IRt4FoMbuiOC3he4rRx7JRXOqgwObTNtuWYtnWQUXvct7ylwjRrBF+G/m3FqMG1uILjNSBv70ZMxRtxW2wYeHSzqsVdlLySzuWGF6G0z8c0rep48s0RH0Zs9D9j/t/I+uk4XbLp6wrJ65WP9/TZI8InoVeWikKDQkDZSIY3VraEhpIa3uxO+2T1iHzMehx0ehz1yjVhCRL4k7tehAWNjonmOtO9BWB3IxpkmXiFnK4DrSHcEQgDJF7P1gddGNuVQWNF2iH4IXU/QKxjOeg4BOQwQUfYRtVk9vx8c6Pt9TQIwgxE2zrP/vG3PZksauROyXZeoAl0i+3+Hik5wZQyzySTo+vxU7fuyyxh5QsLnuctg2T4KDF5ETUPXCKfII7CRydJ1yl0WhWeh3e9cezKBW5IBtEOc2ftcIc7anEzCLmdgIyEE2PlvPWD9Z4Fj3LVZA+glqVcfdEXJwO3gWgnqZEicxnXOBMDgQW9ce0zbxr73pGuFRia5nYsD4O9iAzKkExUOY8Hdbsa/2v0O/930CWf9B5zbiE95D5G3OKcRuUTkqKhLhC4BkhqmfUZJEW2kJq732bvt83Ye5zfxSmwzDXbxQ9SQAmQGj12xoq+v6gkX64+3NpBSAi4ydJJM8crS9mU9nFBQPk/Wcd/yiPj+u+GL2Jy5q10G2hJJymtLc4gV+30mVDoHxHOg/3LBTXWVPeiKMDF/0iID3aSWRD0V5DtWHrZINfelvAobIP3aySV0qu9NW8NxTfw450bIjQFwoWYv2+Bar+R2KUpvFfLxb+ufOgLfvH5GDA2qgrlGPL3s0S5M1sosaEPD2/0Zc034Xt8gzoT2h2zwdGvzKwdjyD0F7N4rpARcXiXI2DDsM/larhF6tZa4wDMzFOtLH5tBapW+aBOEC40aWxyZNO9Jlr2NWWgYhJXR5TQi7gq+eP0CAHgKiloDXk8XvElnHIal9/hCYXI8gA6KulfMbwn5HV5ws57boHi4vyCEhjkPKCVg3iW0EtHOq42IM7rP0Ub05GrYVTzsZkypIAnHuhTuvaLAOYwoLeC6S0ihYkoFMTR8KySZqoP5fZGB4fBcEEqE7ho0WwA6Ky5f8l5phwTlruFn988AgI/6rmuGYzSn1Dh6hlCxjy7vAUNoGnnYC9d+vFJeNbkedBSEElEnMijrrkKfEyH4E7WWZV+ZLKkCPAYMLzTmTr7W9yU251fwYmMFHgra97EXdfyNYQ5ch0+K/Y8Z4c2Asg89nvxPvf7kIDedFbHRaSo7w6Qrq60OX9raLs8SilWmgjlETryQzroemJah84yrZzv9YO1ZATt8gjmWNzCOICQGiII0E9aw3EmvIotVOr+4O+Ht7oSiAT8sd3g9XPCL6ROubcDHcsCP8x1+eH2HHCbA6OghQBVuXjmTyfj6JbM63uPVZmB5iEhXSiIwC2QHcBCyKavS+Vw2GnRD5H07ocyyBuTijecQlEtExohv9RU+nPdYlsQeKgUhEFM1gSkBAhdkyFwwrt3ZklCA3vQJt5A4NePsB0g6M8DNA8XBW1DkoNAcINfYm+bLwZwCJ7VYvCLL+W6DEI8fyIasQToJWb827PAVZrVFtQckMSt0ZnUuLAVSFfXAfs8Od24WLADGuMvevlitzzeuC1NjgO5sLmpbmVDtFeYKGSzbF1emO4eOS+WScIfACbs8Q+tOjK/zuABaABV+59o/ZNWBtunvtM/GhciEUEyGptpeSYEBTmVwkkCjB/B6+c4CpqQ47hfc72Z8tX/G6+GCfczYhYz3yx0+zfteOQLA6qjj8JROECSgOIQTXA9cU0p6/qydVI39eMRvdRZVY05VqWuvm0Fu25hWhkpz0DucaxEoEs4ASqEGc8msTmih8Q6L36cTg9BQd5bjuHEYG3plN0XahbVPn2yKmkl+5xAfh2gBHIvhmZpyPHRgfZD23XbNXmmvXLtI0kmNglUHSVrHa5AV22TPejLIAoO6Zuw7lL8bYksiLIUH9kaPtcOeau2BABvB7d+bxIJUErfUKViFSyyzLBtnl/GCa1Jvmef73jXivDQrpeA2PesuqeST4Ws8XoztNfNwDUZEVHcBrUi37WHDyLtCIGk/0ktAuWu4++aMh92MPzt8wi+mT3gznHGuI34/P+CSB1yGhMcWyBrcpAf6bWIA545MPdhWeBTsf0TvRauFrKDOLiulQSDGkq/Quz0wDdDI6i1gcxzZJx4KeRE0KNCE/UtmS6BAvSY8y57kKXPcBE6rY+woDUA6uVCwqg1tGteZVznThYs4N66xdBUMT2TlrjtWtFsK7CdV9IQmOShYRUumeuAtOC1yrXVys0IOCl6f96aWZKrGqyCF6CqXF2pRDAnS1vlV7YoDRCg0Mo1Xx8RbxU4p40RnzZEOlevbHf8YIccDpCXAirnpqsivyDAdCjA+8X4plcdqRdcULnwGJiKkJ+DHDOgL1qSYoFehpAnKYpUe2zcl0G+QGxQax9rbdtI+QGpCm8j4rpbQBIguqCPRZyScVBx2Cw5Dxrf5Df6/8QUBDf/t4e/xXXmF0iJOdcRhWHAtA37/eI9rnQAV5MyArD0UtKNQ/qwIwpV9fm0ATl9F2u9N0olwQcX4VG6CqXw/IN9H7nkjHaojEU8AGEhUIdFMipgvEXMAkBokMcC9mHatAmgtAAsDzrCIoT0c6aEYTgwSW0KXQnTpndXHMC6KycYrAXINwByQU0Ie+WCf4hE6R+x/nTA+r+5PXHgdklkJ6hR7X3uoiukD76ccAtowYn4gR0e6oBc8ILEfGjHzDMh79tTuPhDtlC5MPJbDgHKMNs6t76dO9mX2eXgpPVHU4fxO8mh7zl/zW4UaMVC6AL/9t1+j7Svuv37BECvqTDbfrgF9SvgPf/0N0AR7NR3diXZGCpBOlrQwYlhNxgCd+FktDToWxMgg2AkcdVDTraW8kCKgqieD7dw2s1MPlYmQnRUtUkM8FKRUcSkDfn15AwDY3c847Gb8/O6xP+9lGfA3H97hr378Arsx4y//q9/iUgZ8++Nr5DOD4uG+YpkTlpcB8kpQ7gPCHHD/94rDDxXjU8Lzyx71GjH9ljJWo8kU8szBGjuEFYUTFsH4Q0JeAp7uJkQZ8fS0XwM/q6R6kiW3iNIifjgf8XzZAVVw+ZL7bXjmNebXQDlMWF4J4lPE8BIoe1bJeI1vrsiPI8YPTOb99e+/QIyK+jbj+T5ADgWH44zL8w7DdwNaAn73+gEAsMzDmqQ/c80srxTzG5jfRNs/PtEvLUfzj6JCFspHnX7Bc/fubygwTn4JxfBEn6hOQH7gGOUjq73pwusNZ2D3I/3Y4TGgVDJMn78hX4Rkrsvh2XRyD4qnX02blrlNtvaPvP7kIHc4V1bIohDaZvDbdAKz1ANWDTlwYaSLrrhs73MYPDCww3NYHc460YEiThvwXlw6ibeBr1dRXCNXjb0OMMNRBTAiDndkEICvDs/4anrBp7zHqYz4+fSI/2r3W1x1wA/lAW/SGf/h/kt8slKPCDAMFYdpQS4Rn3AE5ohl5AEXzgHjIx2wfAxoSTE9KmRu/f5VBG2XeK+XhRA3g2gBMKdA1mddsPaDGBlBuAoaIvISkJ9GZhKr0Il5WBBTxXIeodmgAzsGLZ1MwY2xZyCtmrTt7fKNDBi0sJjj6UUBYSYvnElmoUlRrVLt30eIwgqpIzw0WGDAAQkLnbKy3/SsiN8HDzBnB4VYMLpgzdwfSE5CyLAAFWgw9l7r65VcEc4ZOkS0XbJMHD1LwsVHoDTClsuadKDjtd6Pk5b1yqpljLWtQW4w0gl34n1d3/aHCvs6KtAsW1p0TQY5NAswBEP+bH0HIaGbV+pgsOUg0JAgGrpDrFFxv5vxdnfGl+ML3gxn3MUrXkeKVP81vkDdNE1KauxRt94IbUBJDAL8uQmpC51pVWdBugh0sWpVCmuAq8rAK5jjZoMiVa2iRfkgR1tsyTzCwntomjBnqz46e3XhPbvuthPvuI52XJqtZ+n3we+0RFMCqvf+GEs6YdK0H817/LzaUhwuRgMfL/wulwK5rQCsc+3Vu2ISG2OmzJhKgAwe5FpWtTN+N6QMohh6gGrPYXqrDpuFKsKlMEETAsnsNs970y+qzeS6HGpgb6mN0mqHdQ9uE409SRDov3Xoqn+NBbG+puPVvRerWFuijr72bYY3XekgxwW9ZYJVYiEDZbSk1lxB+K9YNZ7jSqkxtnR8ff+Cbw6P+OXuA75ITxxbBBzigh/mOzzHCaVGLEPCck10RETRxgZpAiNbhe4rZFfRhhHDKZBVvoVetQYIiZfSODZ2/rXDCKnDBm6qXRvT92q8CEYQiQKsYwsAWAJyG4DKirqKAlNbkz421l7pckQVbN1sCf3cgUxXopqYOBDozOCjWR83FQyMyKcxKHGYbpyt3eKifX9pcFUEudFYDcaiTKi7IRiU91OTrW2rXFVjpZVrQyi1IzwAQAdC5aWYNrqjbYTJBI0R0kwf3JI/vSVCff+Ae2G3uyGQSueGbEmCuLBaVQe2S2kkFLgdKsJLZMLeg1wA0dA10c7kteeU49bZxxfpaDEdQEkuI+zzREG6MkApe85VmQL750YmLojoofdfJ0G+W9FcOigOY8Y+ZfxY7vAflp/hF8MH/NfT7/A6nvGxHHGuI74YT8gacFoovQKAPCcCDHcL4enXAW0JUEm03wmY39CXSVd0mLpaQiM9zkzKLyRTw6/e4vqOSe545cbIh8j2M2VyBM1aaaLSeAhQjgHtUFFFseSEEGzuVTa6nQzQHB0jFRhPDcNLpd7zIXDuDvTpktnPNhiZkFXZEIBwMa3lCLOZnKu4AIfvFNNTw3JHOZZ0AXYfKzQA86vY+5Y10YedDG5cJoHuBfmezjmwIns82e4FmDpYUrgoxk8zwiVDrhloDW16hbIfjJiy9USxeII2MkmfXjLwBxz8Huhukp/5dQMKE1rxCjz8dcD8KuD6MEJ3maSJiztyppv73UC/MIISfiPHcjgJE3NCPWlXgigH8zcvQjTIQ0AIFV4k0Qgm54p0W9JGMT/AEkT+OAFAUsRDIUlTbIixYUzU6L3kAaXdQQC8OlLq7FfHj2gqOOUJIorvvn2D4fsB+Z+d8H/5F/89PtQj/m/v/w+QS8RwP+Nnr5/wMk94GnYcxneCJUfU300YnzKG54iX5wHxOeL1v1eka8PjP6c2MGDnmwW5rFQSVREvYmRhAdcv6UiE3+0wnsTI5pohyAKqRHJ7KJmYz497SKU8T5gFuw8mw/SF4HIHJilPAelEOw4A9a7h52+f8Lv6Cu0xQoqgvN8jp4bDF2fc7+fO6Hw5TZg+cM5Opx0+jRl1jkgWyO4+cK/MXzXosaAYfDlcDDoPrFJcFtC3SVFfVaQPCW//Z5Knvfw8YXkQjM9McNeR8qx1r2hfLdgdFlyedghPCfoh4Pitmv0NPRa5vjOkbLbq8ok+VtkLllcsjqaz3vhZf+z1TychpPzjWcfuEJkv+7mzr+IOIHtEvWG/O4QBEBHT0F1hNF4B/nxzODHBNgAIVRlPbshUQrFMo3Kjlj2ABvz6+TWelh3uhpkU2wCyJjzXPb7PD/iYD4iBUj15SSiZEJuwU6TYkKaKGhVqcgtNgdwC2gwu/gEINcI1fD0jGq5kV9ZxoM6iwTd1ivy9B3nCICcJNXoBWI8DF0LdUUpILPuOBpRrQo0Beo6IFza1s/pgVXCfD9V1jjrxEjaZRLkhDQG4yFePC8wIzeiwVs6lVbiqQde3ZE3+z8hAic+jHWZXBycpM6fKKmIhiJGQaIdUIVFmQ0pDvJYbI98lm3oFj4ed6FoR6tCgXCHXDCnVKrkrvK0fIObMe3XEIXZIm/VuWXqHaG/JWXgPt0yWTqIFMOs62Oec0bFngr0abj1wHOPWCbPIqiy9AtrJ33StSCw14lIGfMhHZI3I1gd+bQPGWDHGimQyIpuH51+Wn4HBfiBKQoKRE8qeakWdQq/0iDJYDoVQW8oFCXRIXO/RHdZ1TYdCXUBKgzDI0QgyICPc8vgYmZDbg5Bvye22Ekk3ToPAKsroNipmHjAeGGiwXmu3YRboumwOg+i1YhwX7RXcfn91XT/rPXPd1MkD+tWh5Zs5nu5UOrmaJkNk9LUNVsEDoIh8VqfDdjiyKoOD/r2bv5tC0aCbdU49K85Bl4SpdDJ7NTaYk28C8G6Htz26dRCkxqDZ58lbU1j1ZaJq23Pr4+kEWaJehde153ILgbcgmXA+QHSFSr4sIz6lA851Qo6Ja10Trm1AktoZupvdF6IaGYsNTzEHeKoIqaEeGua3gTJsjeuzFIGVTlgJ6y0ElgjyOYICUdAmyrA0q2h620Eo7L+XBqj13dcddSmdyVQFlIULHEPCtdc+TW+HWdeds10COklPPhDmwV53KCu4wZI6XSLFbIbLt8Q+L/a9ZoNcwkf1M3QJ0JFdGgzdYb2GbVhhzJ7g9rYB2q0INfgxbL/2imwAMKwuizRrM3HEjU9eb12xoHi7tn1aBvZcDi8cx7JDR02JzQdavCE62aLLgq0didajaEzkdZIOy09XrMirCkzvGfTHi8+RIXrEbRIr2h2SazanJ/qsP67LRxXB83VCEMW5jsga8akeUTXgQ73DuY6YW8KlDsgaMKWC6bigFqJgJCj2O5IFnYJiSYk9knvpthS2JqSrZBA1kV/veN6eMsJSKDNkiY61pWa1fxCsHBUivU0qXAVSIupRUMeK5q0kxrTcBtoKEsKtZyp/yXUVF/o9Xrhwv5IwYPNDzpb8FrbtrBBwC7wWU6E4BqvEk6AoH9YElLcD1dF9UAVEUEZDu4xr9TgX7g1yM8g6Hm3VJs53A8I+QfJElNcQrBCzrrWULTGVuJfCYgkfgOem2T9RS16NA+pmzYdLQMqbREU2fy5QykYyq+V1BNq+wYUl2CZlNmlgD640JrW4v20tjGsRytuzyhwJPQ9KzVoBkCk5l858fo1s9VlvlME0AMg1oLYRepex2y+U3YkNKVb82f0nvB3P+Nvnd/j26QEiim8vr5Ck4X68YkoFj6/2uOSA41jx7y7f4FQnhNhQ9pQfDELm+hgbWmPPrYji+k7w6Z/vkO8F8UQ47OVLg8UKOu+G9+GLywo12hb2hdOm5Y9kTo7CsetQfeFi0hrw48sRz8OIGBuOry84zUeMj6v2ttp5Ga+y8ogk4PI2WvKg4pJZqKmHRiK8qUISx3Ep0WQOqbaS7wENipYZWEOJXMpJKWlm+1GXATopNDVyIkTbNyMs8Y8VcVm4ti/vApa7gOWelf/lQTrvzHDi+XIdB1yWgPCSkE5ck44Amz4o9X8H30OC5XUzP5hrxgt79AsA/C/Wk9udRD/8YCxc7oBghQ9eeVDVgRuAEIoGHEM//NLFvVNCkYaXtf825M01sR4CnbkO6EYvWC+upHUj+YExfQLGKHgZI6EnRfDdb9/g+13FX/78e/z53QcAwHPb4cdyj785fYmXPGGKFff7GT/OA9rLgAxA7hVjKri/u6C2gOs8oJYI3QH1LqBcI6AJ8cpJH84UtB9eGuLSEM8LpDS0u5GZ7xQ6rDJYf0UzA5c8QEfA1YKr3QceSPNbZjmkgcZDuHlVgPGJEKR0BYYn1xRsvb/KEwNx8Yq8GdTsQRVWJ9aGM50EOG/Gtm7mxzZAuhj8XNGdeP6tFmRbZvNo2d4rHRTvzd72XjusS3Q1sB06vB8QckWYC3BWVqdqYxDjZF5+MHpA2Rqr6gAQ+Z7wcgXOFwbRTaFt3UUaGeS6rINUMZ/KqhbCDR0yq3pdt3HjHPmLhkttHBxabU5lWwOlmDfVCKDP0wqBVsiywrWhCk0B9W5Ei6sUDyF9dJZP80jiJLzGECq+3j/jOg04lQmHxOd92U39AOiMxkHRmmAOYz8UwHgIpVB7T4qgTa6ZFtBGI1pbGsZLXucAgE4RdUrocHLhPpbCBJB7FOUAhGTOdCDhVRuNiG7khvbANs7SA6Ue2DrCw8jKPBBxGKxX3WNT02rjXPmhQk1Im29PPliWPl618wkkI+CJ19tAsgepPoee9IAS+uYaw2afPKDmP8QgfgEhAFqSVXJtHS2F3pQIIX/ev2jVchhywSFtPbit1f5fCRvQ3O/PHe04r857KEB85HwvdyRKihdC+VakBfpzODKHRFzNnCHC7RiMMoAezrDD2g5YR3tY9V2qIp4zkwJGgLXixdEz6tHgsXOjUwwBPr0cUFvAx7sD3qYTnusOL3XCS52QQsMUTWu5ss86TtQ0POy4B5ZCR633Cb5acJ0a5BIhLWI4ASqE+g7RHOtMLVy5YfG1fRkTyh2lVZygaUUjEepPmDzX1vwmIN8bec7VEgf70LPoAN87fbxFDvgaC0vrhItu0ztKoFL+hIictfeYjyq361At2WYoq05wZUmQBKJG4pWybz6fmgTLHQOGeGWgW4ywJ1TCbr2aGaqSRLAneThu8ZTXPnQACAFt70kFQj2d3AshQHcjA59S1wC3svKLGLFNftZJMJ4U44tiuac8ngcicQHkk9yst37uCNjSEXmj0nhW5TtDKRh0cXoExkdWwMqOe2p4ob1Y7hhIOjHR1sZ3UidL9m3XebpaciEJ5X9nwfPTHktO+PT6gHkc8PflC8yWzDnVCXNNeMw7lBbxenfB3Tjjw+WA9x/vEGPDV/cveDVe8HF3wPM84THusTQGIOkczJFfAxtRXv/0DSvCuw+JRFljMIm2dT87B0XnPihrwOftSMOzIM6C5Y0gHxl4N0PqiKDLNgJiiTWBepJEaV/iAq5zGytfo/EQ+RlLvGsAlresqBEyzirx9InnRzmwEuutLpqA+ZUl7M3mO/Nuukr3dcuB1dlyAHVjE+2ma4eGwny5c5LEE99z/npY0WAApqeK8VMx0jFWuuO5QC4ZOkXoEIlauyxADCQljORrQGGhpBwTisPuAAxPgt3GD3M/OqWKFBviS8D0XnD9UlEPFRIU5RWgVZDeD4hX66V+yCghIRsppsu+lbsKORboJSE9Rp6Tz4nJsn1FOC6o54T4SKjt7mPDcFYLrF2yT3qCQAGMnwjhmqPi4YsZQRRVBYch4//45t/jf737Nf6v+f+Ev/r2K1yvA5YSsR8K/jfvfosvx2cc0oJf370GAPw/v/9nqC1gHAl3Pow866KxLVdTUQGAy19kXP5MkJ4iph8D2gg8/2WFiuL49wn77xX5SDRFzNzfLpcnTfH8y4D564pwDjj8A4PP6xcN+a5B9hWDSZS2a4IuAafvjzgFxZe/+IR/+eYH/D8+/Avc/0OFKHB9FdAGGIkj90HZMcB++ZUxHQ8Np8uEEBT1dUaIijQU80sF12XA5XmCPCdIAK4/MyjLNeJyPQDBJUgzvnz7hMfzHvVfv8L4BJx+oWhfFrQqPbisx9bnHZZki2fuu5c/58+cG2XxJM1JcPyNmi8QUQ6RSaXrWo2Ni+Lh7xbGA5YAPn0dkY9i6CzKjZZDNJQMMJ4UdV7t5h97/clBbsiKIK33c0olXY8u66Hg2SYXVQ+iq8PZvLHeIE/baoPyZzBYs1ewnFRnFdpG/z7ADusGZoErIA6X9ixAVZIFVb5ZmgI5oAXgeZnwfj5iHzPu4x0+lCNe8oRrTZhrRK5hpTXfpM6TiT2nxN/TsJM9zp1kZ2okSQqb7Y2XHK4huA2G+ssDeKsQuG4c2Y7BMchYexLBn3kFwAW5nTDG+6CdlOfz15Y9cZtVVnN+mI1df9erl65Rusn6+mdXoXncPGOv0sKd5fXa4nOrlmXXdYNtx4aSTYGOj7/HZYX+CKTBNWExADByGOm9LQLZ6Id2EqO6PmtnUg6MF5qADLM3VXLc9CrymfVm7UK0ZwsdCsiDVdfMuD+330ez3lerlPX9sBmXTrrk+rZFMF+HDmHBADznCWMouNQB1zJgqfGmUuprnO1um2AtgMFyZL9NU9CBb+jQydZAmGmABV/unKjB3C1DKYKt7ARJZLwn1XqRLJkWMjex6mavNPSKYkeMeFUBZn+C9Kp+rwyajenPZFU1FfaoN9j3xLWa8wf/9MB0Xffy2Rrt4xlvf+77wRNwK7mYZw/9fWKJFsNE+pyL9ArVVpaFEaUH2oQyd6kJJ7kDGAxvil1i5CVcO7IiKKy6EDOAID1J1Z8Z6/zxP25ffT5p99fgiQ/MLcrv8QDXe7p5npju8va77eOOGvKzJS66Qi0vXOffX+9xCItVciMudcRSE+aaehIH/XYEuUbuD+sP9KuKkHG4Wl9hHel8aEZ3VD/nzflHX25H/bubGvx3laEKZs/7GIJOxbaa5QnIToaEdR16JbQnw9ptANUD2aIrGc4fsOndtm8qcpR327zP99lnUnD9cQOMhdcCNktK62Zt80D9bJyC2YW2Wa9erbU1ROm39pNrfk7m+FMJM2z6iKU/X688elBrz+wV3o5WWI8G+4517Il0cEi2ye91dI8iVEFzcjbf/474iLgJfPj9yrHQ9T6c+0KNkO8x7/BjvkPWiLklFI14yjsUDTiXEdUqoy7Tcgt2opzJYci4TgnLboCGgDYHBLPnqOu9OcMvBJ1EDVjX1E113v92gIn5gM32vo+BVECvkRXeysUhjpixilmvBH++TtTXwjqeTobnZ3C3mo1+FxFA6Enovs99fvsP0H0IT5p6Mt+r9z5fXs3s8+h/7B4gnDNxpnrfb3/grHD/oKWAMDDAbSkgNCUKanNeej/6et7f+gGd2A5m5yJQSsQSm83h+rzqbUBWIOnnVWHioRcY3PepAp0jZDb5G86ytawFkvZl83UBY3vXdbw+uz+2adEOLueIx8uOsGWbmHObcNUBUygYp4IYG4bYEERxqiNCPmKp8cZlEmEhSlWwSwVTLJQDrAGtBcRIjpYWbv0BKBg/BOeZYYJXE/09P/+pYmHrzXSn3Z8jYRdbyprrrKfGNpQrN8ZlGXAuA+H8hmBUI7DtaxhgK4nbzAhgCWxF1L4MugRqP9tM/k3T6pTIEhiPjI38EVVwWQYsS8Q4M2kfr0C9RIQ5dAQD3DcxwjCUeMODsl2/Ohi8+bqxe7MgREsizcaXYv5Fm0L3t+K1Ii7RfAyiPlpiIqTuSHTabA7+c15/cpA7vj8jHCl/o8HozRUdCrocQ29a994SZ66LVxr/4YV47m2WXjYBmRuw1alaD0VWf7Dpe+OAxWtFWAoDF4cH7qI5aDQI6RIJE1MuwJYF3/7uDX4/PeAfXr3BP9y/wbUOeJx3WErC83lCKZGZRnPyawuA6dQOkYGAV72aHSzlmKDRKk3F+vImVnWH58TzKwY0k1kIiwmD7yK65nAEwhWIc0WcG6ZP3BDnLxLKnr1o0cSU8x3HIpnOmZMZqfcvF8/OGwTAnHgYy2U+WIVrc6D0vjs7tOqItXdLmf2ePnFOymGFDdaR/U6H7zIgwPw6ESpmh/wwN1AvV3B5G02A26u47FlqiVTjGiiA3in3lYs/P7CPZbTerbYf0HYDpDbCwb0XFLAqr1V7S4WkiDpN0CFATJwbACsDdQZ+b/9dCkKskCEAJxOd71UZoGQau3QhoYwbb4ffSkWHU/FgNSfBDo3h3G4OU0IKzcHvzgINphRFvJTe4+eVuybsj6WmKhCvjVB2k6ASFVzGPZ73E+pXAXoELnnAd6cHVBXMOaG2gCVbANCEsGVlTxqAHhTEVDEMFSE25KBoM3V2IYQphmzIyIX9om2XEFKAzJl9gxbAwCrOztypBpclKVRAMsmlNnofFdBMVqi5o+Xxmonep8vaO9gGYZIr87AKSyNBWPXAQlETWUFj5lptkZlT9vnaetDVyVqTDasTpebwOcw+XQ12FlZHqG1QJR2N4p/14AP+3avT3yVWhgiJCsng2KUARVp7EX19t/X/EKEcFtBh/gJAQgBao3ZoWDNB4VqAPZOW6dogykpzNNRDzGGFdTpzuiWwXFary1tl7YmXeK39OdyGq5N82eXTSzUJpU2Qa2y6GoXVOP8dgLCwSidtQCsBx++A3UfB/CrgqU6YDyP+h+XP8W+PX+P14YJ3uxNe8oQfTkcyLM8DWl6Tlq0l5McJGBoe3p1wmBa8mq64G2Y8Lzt8uBzwnCYS5kXaW8p6bYhf/GXEYFvW0zhXaBZgMsSOBX2hEkHgMnkI5mjMJLnJh3V990pjoS0cX3jSe593HztPpNWGeG2QISAfb9cghGcxRLvOYR15TbHkcqjmjBTrxduzHzlGd/i5TjURtkmYo815pp41BN1O9kSh7x27D6naW02cQ4NEXYGIcEtSEYaMbr9RK7kTNjB9TSRAkhDQBe0BbMlB0tyQtG2QMfy8+xhlkpuPSgGGC8fg+jawwmiV1bgA02Pre9WDg2bEbB1+aJDsaEgfaYTDhqpIJ0rk1XH1odwOEKlAUrAa2BcZqmC5F5SHgCwD/vrDF/jhcocpFuxiwbUmPM471BaQCzVFU6yIQXG13lcJik+XPc55wJvdBW92Z9yNMz7tZjxfJzy1e+BMv0gqq9/LPfd/vucc1aeAeGn9vKpjYD9/XGUHncEeAIYn2Hrgz+uOEE8AmL5LHUGjYsFORmf4/YnN/cyeeEtD3q+EefHK76sj/XQSAwbjhOG+rztWWocT13NPKNZ1nnw+hmdFOvOsP3/t2T13ztGJx9pgPmAyX9WCDxJxsUI1nrieyVHDtVUOZJeNF66n/GqEvh2No4Yknuk0wvv60ZTw5SUjqGKoCtG5j0u5U8x3yvmyOKfsFcvjhCWNkH3D5Sv2V6II5BKx/47PtbxSlCN7I4f3ieeOr+PEIGb4FDCcIuKF/p9GYH7tbQkMkOrOetyT4vqFYFli94koveNJTtrTw3eK6bEhvUScn15RAvGh4tOu4v++/5f43f0r7GPG//6X/xENgtyoPftvfvgG12Vw84v7/RV//vARAHAulBt8PV5wTDP+Q/kKl+cdJDZ89cUToii+ff8ldt+xWlgO3GPH3xAafPm64fIXFXIJRDhY4QACvPyZIN8rxifg7u9D90k0AOMngT5F5PuAeheh+4rD6wuWeUD43YB0FpzkHv/mPEHmgOdfhTXxorQdoXD9Lq8MUWMtivvfJkhLDPwmoO4b8lui7qolJWQJvVCAGIAKTD9GxNnaNe8U8hzx8tsd4kVw/FYxnhpCDsg/pJWPI4DcEANQvplx/+qC598+YP+9dPSi6EreOb+xyq8hK+KiGJ+db4P+bsyK9FLRpoAP/+WAfA88/I3i1d9eMD1X7N4zbloeiLQ5f6OoXyyo04iwBOhlk2n8I68/OciVa0YY2EtBmnNq3aUzNynpo2WtrmwyqLJxWJCZrWyfMUL2Cq1uAtkNPK5XCTKhUi2tBxkrAEqnT9a+0l4Fs0BaC9jkrMxe1CXgKe3wY7pDbgHXZUBpASUntGKZLov+aqNVDrGytSsoqvV9Aqzuwsg8PJPekiBATb6AFcStwWYvknvB6BlRD+xDaQjnijZEhNcRZBTEmhU1g+w/IyOafV2vIDoUdg28etUo3I4x78nmr8Db0Nbf2b89IPAqkN+/KINzVpWt/9IPcXP+gNhJOpjhwbpGrCfn5r62l462iS1b731vkgGJwrH08XV8PYCtFJHrNUqKWKsAm7KbVwaLIRcEBuMyCGHkd8fsAZqwFw4wmKsym2xyLn0ubJx8Dfstsu/AAhYB+5iSoEnosF5UZR9GkF7N22aCg7E3x8xDhUzAlN/JS8IyJdQmXZanlMgsew0dqqkNRCaYEyjOEGp9LS0K6tAodxLAyq5LaMV1zlhtl5UMaTt/VtHtFQz1JJc9gzKQCCq9QNkz015JFxtntzP1D/TeflYCkM8quTD4OEB4lPg+1I1D3j/sn1n/36G3P33ENZD1z8jtv33OP2cM9H3fnT8PhHtpm/PTP+caiR5cxbXfGf4+T4zYGGznhOuq0UGxloVue5si9oQYXw7TBYAwEmLHrK32LC2w7uWbimezgZHNdy11rbJXRzysY9J/19Ar11IaJAhSrYT2hoR0Iqxueaa+MgCMoeKUxy4L0YqQOdv0Q90pMBNp2uMF98NsxCYj5jHiNCpqWZNWnRX5D6xt+FwFnxNbS21TdbfxVUVnj2eLyK1czRal4IRm3r/nzifs3OxIJiO6ksKExefV5mDkdf3zwHoe2L05L0Ing1Nhf3xYlQ1q4tkdLImyzrnFlna2eIDyOdrBkTJEYX1+k9LRFXC01w1qRW7/DtwoKp+9b4vaKIBghcan2e3wukZ7vzZgJFG066yUSb9vakO3dV8LkI9x1d61ivh2bN1B9vHsFT0LkLv8HHBTXfb/x1kRJ/ZsaxGcryMrVWNGHRdc8tB1xL2q45rirYU++HMhcqdNgn3MCFirZk/xzqqRG5tuwePnTLPb+2tRus/h/o5ukyJ8Cga5E6hRnanBDKBXFj2Zw8rPOj6+Jj+b0nWM7fpui6glzbMsVMKdneFaLeD2uolUAFFvzqJ1vSqRLBnIB7FEqAW3vi8FqBsEwOc+i/NkRLMFwc79uDQjXQxAowKHylo179KXAAmBjHfGx0GaQqu1Lm04FlpS1MDzk7bHkjemSIAAtIlEP2gbkq9GVlwNDPbYo755Dhv3OAuGZyPiem5oESi7CG8xCwuwgLrOkJU0LZ0FsRqvymDL0c7vdCU8dXwJKM/G7jyw0vfD+YhDeoO3I6U+s0Z8ygcsLeJ0mTC/TIhTRRpYud3HTJlEKBoExzTjIZFiXRcGbUNomFIBqnRGYN0B2tb+eR0Uw92CrCP0Gm7mtB4U9b5CX5Lp7aITrjkxXZuAtgh0FMTYIKEhWK90PAeUKUGaIN8RvRY26737DlHh1lXaCmXO1XyEENBKQEsNThYqsLkH0MkEs0OgWTAJi3QG42RtJ8OZfg8DXFt7i6CpQoLiMC14ErZnheythrZPrL3sBo2iKwLCuUtcKaSNQD4C85tGQkSxvbRwbTRbM+3QMOwKyi6RpX3tsvqjr38a4qlCbbqwo25SyIrxMXOzloEMimnNbHqfFiUDLMs7hU3gA4yfCit1Q+hyGnHhxq9TWKtbIoCVsxlMewBhDqcFBJ0QQwAdApqRHYUMOJmMRkEugjoqlnLArx935jTYbJnOncwR4SJoS8CHJUISBz+l2itdtbLfqxoNdqciFhr64cxeLJgT7lBkDYK2Z3UmnVn9mN8OKBNhcnIMvXrivR+sInFBoAHjRy6wZofF+LgyWt/A5BTWP3qbKJjM8fHKDAMmoYNhJFIuo9MGoA7aBeN7sAwTbs885C5fT3CYy1ZuRCMr1m1cN2+ctZMTFO9D67IYzLIHP1Qc4tgU5W6AHBI3sznedW+ZPYeqWo9uWApCqUBTpJcFGgXhknuPIxuCVjpOqS66roiVFVJmqaJla6P1ETtEcD2ICftTC+jtC7e9tls/zPrnpAHxUhCctTXQ2oWG7vwKgK5rGjeBS2kM6hWGXFCDEinKhd+9/LjDjy8jvIcCAkhkCtElefq6b2BAHwDcFQa6wOpAOT1+YL8W9Up5HYe1tTESAm7QU4dfYZvcCatB9QPeGZZDBpAVMtJewGDhnlzp0Hv1Hhl7tKrd5riuIJrSH86NUOQSSPYpcuuQiPREWB3QK1yrRrcgDNqda79e7zXMDUBEgzn/HlN7UBvESKPs2YEeBNVBgAEYPCH3WfC7Euy45yvoUOTW1jWsSvZOAJ2gx3tye6/i+tByviBMe45rYrJoHY91nGXTWqKJa214Kjf7v1cbVG8SeSLcn2LVC2fRDbltoP0CJEEdxvWZPQiyPdw2QWWoDWWfyLQ6uoyHoJwjqgCfTvf49N09780cOrkwy+1zCSPVQBO8PO1xvYx4vOywHx8AsI9LALRDhYaA8kI2WdGAUBOr3cpAPSy0FzpFtJEsy82SAB0m3BSqYYX3G0uxNk/ymePwGeQzzqtUVTn4wvGk0EZ2ysazaey2Pqk5DANRB/koK6wy4CZ51CZ0uastuRirrs16tyuTEQ5d+2wPcS7RW2vSVfvZVAOrWdG0NPOD9dSqrx2r3GowBEtDOC+0na47nCJw3Ns9Oxww0GbNC5EjTsK27ZWuiljI1N2G4TPoNMc2FO2VbRWBnpkwmJ4ox6QRmB9Y0XcWXQ9MmxFveiV8+7M0q1U+dIUpi9s5xdBWx1YUvaK8tloxYIszJbNaFsxtj3kaEaeKx7GgNUG1XsNgUIllSascmv1VazA4KCVNhlAxBhKzYWhE0Ixk0koX44xYgOkjesHCfTTXHGbbh/Tjw6WZpAIhyc15ly7sb3WUDgDEs9lXC/SlrXJO40vrPia8QBKEW6AHXnS8ucb9fLUEZgDRTRMlTTQCbWc9uuW22BAsQ89gZauIwHOq2h4cnjnv82tBGc2HuVhRJdJOuazR+NwwnGwPWCK47tmHmM4Vw9MM13xuKSDsoo2TaeLaHne/UKNgFwSDt6pEuSEnlGbHewOJn67sEc9vAKSG8JIQL6sNgAKXn9EXHZ4F04fY973a/UoFdu8JQfZgLF0Uh28vKMcBn/4yYnmtGJ7IjKuJ49EGxfUr+v7v/rXg1d9e8fLLCdXOGK+aX94FzK8E17eC+Uv2geqgQFR8/+MDfvx4j3HK2I0ZuUZcLyOJ1H4cMcyC8vOGN2/PGELD784PGGPF17tn7OOCfcw4BG5IuUTgGvCb372l75MUl69bP58h9GNCAQ6/idBvj4gGmYWsbN4t0dloozNNu3oAum/lbdLhFHH6j69oD1415FdMMkAFuq9Y7hThKeGL/1EwvjQ8/1nE/JZjfvhNZBLhSPK08RHYf2g4fUU28Lgo8MNIBvcvZ+wPM8JbRYoVz6cdyvd7rtO3ikWJNtDEghRRPESpLPf8vjqu9+9VZTRBK8EQrBwDKehSYR2BUoF44tl0+TLw7DGJwLIXzK8jxmfF/VMhus7ac84/E+S7g40rbWCxPndUID+PlFE6Kdp1Y0j+yOufJMiV1ghtyq1n9uPL3HW84hhRdxHlGNdsXttk+sWJpyxIKA3pZYHkhnocgEPid2+kIxoEEtYqHGCD6wHU1imsHPlgwUEZ48puWYCUPXiz/pIG4ErnxV8tAuU1qOvWqe0FbWaVcXkQlCEiBIWERlKTEqAlIBj7q7+crMYJUxyiKSABRx0DQm4YLgVaBCoDYUwAXIh91UhFdyKaER8NJ9Nje+AiGV4Uhx9rh61uXyS3MqfLqkBxNgKqYegSFQ7jCtkC0z0gBq1zYfqe2ZyNJMKcIw2EGxPGqStETNeAuffQqPfWNZRDQN5b4ObOgDMGi/WSNSDkCigziAiE+sRLYSBuh4Qztm4rbcGDgMtiAaOR9PRxXjOiUnWVwsngWnJIU6Q0gssrEHq0qWZvHLe1T1R6/yOAG8IxHrSeBdBuOLCBsPrBHlxeQ40VEiTSMd+4P3tc1IJyQJpgCAHtTL1Mwo8UOnqQLL3K1vtOM/s66hEIHuQ2D3IDvF9H/fA2ljyNZBpvYyBkOAUES15pCn0ufEw8Y92rAe7YW0B7A082p3IwAgPX1/UqbpdqakyohaWu6w7SgwhWumQb662BmjLo0MTDjevQqpkNfQ1Itbm3vUnDzUq3hLB+j1W1b6oEQC9ougPoVcJ0Fe7Ljf3ovV+bipaG8NMCsjn2Uur6Xocyb3tztxXI6wK5ZkRLREhjy0Qb7Ps9wHUCr0BiCjIwV4RrRpsS2hhX6Re/l15FBsRI9yCyEqjkTfANWztThIogzLUncwjJx5ogqWpESOhQRRLVkdRGU0A8kUW0jaYvCIN9bbLBbRDUvSUbzwk5RJQ54TJMGMaCuz0zVLKrUJAVvl7XfvcWA+LVk2gVUitUEtpuHUP+zsmGhAniIa4V3M/QTsn7V6MxmwasmXOxJJLZzI5gsHNXar0B23RZKglMUCaS6Gx78rY9p9VyYAXSgz6vQDq5Y5iZ+GNQyqRInTaVDl0DtlAIr26DYH6IHX0R54o6mdxMtb1a1mdRIyuU0iBXOqh62NFmmowW2oZ1NkZgAOSqhDKH9T3rHrJkxLUgHNKNY+vjIAYTrKN0FIIUknYNAlxfR0sEoyd+1h5pfpcn2Hq7SYAlHWtHLmgMvaUpFAWM1KuZrJgTT3UUgCFQwuKyLZywNgfUKeIybdBszoMQGtoSodcIRIWMHKu2RFQAL4ljcxwX7HYnJnRM69TZ8yk1yDWaLq33qKq3kSTuc/bd6nqeebUuAt4c660f8aqdWGd5sOqXE2zJOoYaARQSdREVtp7j2hRiY6SC3s5U1caugclh8xdlgME7FTo0yKGiFUF9HiC66dXdJOxiXhMTAO1zMMTZcCaJ53IfO6rCUYtdcsUSr8NZsf/uijZFXL8YiIQaBRgU43ND+nACItv/gpoNDcFs66ZCu4tY7iyhdx4QjdhRNvaTgyN2FhJlNrxYMCwMGuMsJL2zM7vuFPltAZpg92PC7r1LMRmnzIEfHT9x3hySnmZF+v4J8u4e+W5E+SIDOtAH0tVv1NcLEBTDZcT4t7/HfvoGp59NayFDKFvUBsHypgHvZvPNjOvm04iWBZdpwnlolCU6RaRKLfNQgPx1wJvdBXNN+HTdY5cKfnX4iDfDGZMUDIFV3t6qmAeey/uG+rayhzhTxcHt6+H3rC6fv444/8xM947r2furuzSe+cQaVjvQ5cdMd7YNwOUXBXIo0CWwd3ZXcfdwwXO9w+F7YPfdCS8/f4183zB9CNj9QDb8YgzOw0mx+37GcrfnHGdBvJg//rOKL+5O+HL/gp/tnvBvPvwC//D7A/fFQwHGBhjBW8va/bTlwYsT/J6QN4VAS3agysqePYI95rbk0hWdoDPMXHfLK/qUTlw4PzCBAYvTWKji/C+vG65fK/W6T8zy1b127XE5R9NtV4QL/rNef3qQ6wQ/AZBckU6VUIuBcjh0ZDkC7nB2GLIR57jjQhgOe7LalICRrJoeFHmpI54LYqQ4t1cvO3yjrtUNHSK6tmSvEoWesaZjZk7EpmIUnQjHy/zgBIdzgA7Ew7ujKY1ZunZKaIk6i2GoaCUASwBML88rkVvnX+PaP9U1H3v2U1AOg/XmSqcth3LW/ABpo8GNraekM69WY+wUGAvgxrEG7JkdkumZRYPCbpmH7L0OI/dDSw2O1KJv5BVqFjIgwR0og0dcCNdV96s9i21BB2CG0KrZLiuUnOW193Stjlh/WaASZ6u0q5rzY46ZKiu7yhtQ16WcErrkBzGxjKNqo05u23jAm+5+h8vRqaHe6PBSEOfQ507q5pqy3mcfUkccGOSIX2mDi7Y6pAChGXGFHQK4SeR0Lc7g6ASrYk+0vlLI/gsA9SKWVbSDzarxWATq0ha+zrb3q4BC0E4JdY6oqZHR18bU0RAdNq+33+PBu46mrxwDvHLiPbl9TVlvq5NbAKyk8lk5nl4Vv4E/VkKaO0mOuo3R9fAXPocHSWptDFwHXjFjVU2tH6WZDp4fVvVgdkzITOskWRD2o8KftW/mzTi21Ql2vWdfIB2eaEEO/82M/gr7VWhpEFsra1/8dh0r10IMTIYYfFOKeW/OPuuvusEf78ZV2skdf2UPOK8fjbHb7kWkE851uaDSOG2b5w6LBSA291LZc90JVMzuyGJMuU6yxWK4IV0aDcumi6Cv18bEwnAO1tpgVaezQBHIh5C57uOV9xavTMZ5b7DLazBwZ/VIAbSgWK4JH5dExvpTYq9TXiv9XoWgJJade5YgWNdiA3rwQhtXJwacrpPqLKyw6g9gdrGCLRHmDLoWLXt6N/37CgZ/Tta1Sdz0wNqCpWASRCRCxNpeILyOQ1Jlx/ePj4Lx7G0Qtk+squ4SJ3UMdiat7PwaN7rDXimt2n1xshhrJ1Hs68TjGE/OAKsDX+q65q0nWseEjm7IG9bi1uzPus7jQrig1IowV6RL7Geitw74uZJmQ8NYYOc99oQww4igdD2b3KZYUqvYWeZw8jaYIblWq4Rt/IyZFXKyrm8nj+PYPgvEiWbhQIUCFAT6LS4lKEAZGtELS6DyQpSOGkGhoz8nErVdc8LTdcKcE/ScmNC/Su8NZGuQJXA9SVjRu3u8P73bDlnXmgrt+LavXCPZanuy3saJqAbt1VxPevga8vXGAJqJrXzgmTKcGuKilnzwypr9vfMKEddxC2I9+SsM23WQu9Z6NYULAYNg85ccGVd2Jnm1QZwR8mEB+8aJb0mwWI8tJfeEPZCL8rz+2T0LDnOBt1A5ykPi2ncsuWF6bOQ3yQ1tTLS/tfF57LX7QVC/BpaHZs/AcRg+pL68ynFDaCSgHJojXARdBYW94vx8OQjKESa/RB6L8sU98uuJn1voZ5c94c498PlhhCh5Bq7/5Tc4fTOiHG2bbnxkwqdB/XJ/2ZoORVDuK/ZvLrieRoQnsmiXo52ZLxH/9j/+HMM+493rF8TQ8CnvMbeEKRQEaZhrZAW1ATqSm0OqAJfY9VlVgPkL+nDlEJAsgTk+WeBeeTylk6DW2OWFWmJ1lmcd14pk09BttgYHs9Ue4BaBviQ8n+8RLgEf/2VA+uUrtAjsv+dEXb9wNmo+5/nrgDrucf5GML+rDCRP9FtCIOLj+/M9frjc4funu9VWjJQ8LSVAZvYXw2y+J2Xyg6IcG9I5YPzIfZbvDfp/ifjxt68wfEw8PwYgv1p9mpD5jHXHPZRM67pOwBwC8h2TyflBcP75bm1bCJzjcGVVly0KLCh2ZGq0YPjVTwt2/9jrT5cQ8p4vEYS5YJwLseH7BGcMdlKADjExpyxkg4D2ILghngtUgOXNhDYEUsQbJAqAaaGaHMnrHfRuMNkRHmphZhNfmxLaFCG5IRh8T93pS4TXhKIYny2jvWefbLzQoDeHRQI9UBELwKRXZpUss96zACDfB7S9MMN0Cf13XtGsIxBGQTXGZRgBTxtS18wEgDYEFCMKyXdG5mMEW3XkwbANWqdPaqQ5a0A8vbTe29pZAH3ezLEAfYTu1EoF4mfwSDV2OQRzhBLhPnUC1AySRkDHBqmClgOksRl/SUB6EewcbhzQ2QY7rLc0oAWkUa3vh4dBXBTDCyFTec/NG2f0QL5XHwwW6Uys9ZBQDtEy5oXOc6ZF0ikS5hgEOg1Qtd9V603UAJQZermQeKoPgt44I53oJ1cyW58XGrD7CflhoM24sjLspGzd4bRAB7YHUBWS2CsV0boT7oFTmyLqRA29NJebqp465NQOQ6nKewHQ0o5jZpWjYKRB7ImhI1F3nEuvXGwhtdueojYCWoBxMamGgdCZNjXooQKN69w1mDvczJ1Wd9AQIZugjfDmYHAZOxgnhwiufp4abNIP4rgQ6ohNxSBUsGe6k8nYs/de/nUOvLKmHjBXRd0FC7DXZFQ+KhkVBXA4a5t48GmMcH1WQICLIl3d8bILWbDlciSsSLnDDgBM4sXP+kvi4lJVrBh6YMJER+BjiPDgrwos1rxsLJvc7wwivUcR17yiFVRJRFUrtG4khPY7ym65vYwCyQ3p8QLUhnY3oY08NrqN8B5zqziHWoGlwjWQ0RRyyZBcTB859GAQ2yBwKZTHSBEYYs9++zWcY0FVIZA1X1epl5rO6DIEQELNdEg6c78xtDrCwuV66gS0CZCFcD4VoO4Jr1uETKE6B8RzQHSHrXrFaeMQd2c4IEyJST1LqDlBogagHkh0Nr8KWB7WKgqwZs19I0qz1o1NRcB7meiw8t/pXBFyQzVb0RmpN32/veJahIz7iwIvtLfLg7C/P9IBa6aNqYHOOyGJsROGaBQGCCPXYU8ODStxkp/JLYWeGOkomk1epdstSxC1RPu8wowBga1ZJ5XKhfefItf3bkA5Um80Pl/NptfP1vkqCReuFbLQ9sdLxvgY1uppHzOTI5zraj9EUA4RSOiJw2A9soAHUJ604nlc9j5+RHrUUbqUnrzojT2P14p4ymxZ2nvjqwfLlrDyY9yDqEgkgQfRJTCYTSfzJcZbIskWLcfVvJoFFAy4eH+68Y6kFyLv0gsRQGHh84k1sEoTpDPbQIDQE5S+FvzsYAsS91k50KaNj9SQXV5Zv2Zb788DXm9JcV3mbQDp8GhHp9VBUI60scPJie4iCw+J8j5rfx/3k2RrFzF/hElNamB73+JgkpZ1AHTyXlg+W1w4lvmIXjwJC3pVOxQSZsXsrTSKOgnmByIHWrS186FheCmYXw84fT1gODccvrOpd23pYm1qtSHMDbI07L878zv3A+o+ISyV/tHGbr76jxUfvgbw1YzllFB3rIQdf8M9d/ozVs8okWd++CWsSTsBxlPD+FhQdxHXElH2wOkXgnJQHL4T+tCD4PTLg/mpgvhClFi555iEmQi/+/9Iv3t+LTh/PaHugXzP89SJwNZ2F0DOsRecRNeCUTpm/DfffIt/+8PXmP9uB6nA/FWFTg3TtwP2/z7i9MsB8c0zhlDxw+UODYIoZGI+zyPagcgujLYBnwZC8jPvNd8rpl894zBlPJ8nXHJC/LsdXv0VDDZMrYPxE21V2RuU2CDwCIAmFl6G9wnjo6DsgPyqWZHNFoElFIZTwPiJa/X5f3dBGirG/88dXv9VxdOvIuWMLGgGgOd/Bpx+CdTXGXdvz4Rtf7+DCrALitIC3j8fcX2aINeItFiCY1dwd7zi45lQdZ9nRDvKBchvC+6+OuHl+yOGx4ESRn82I40F6W+P2H8fGY8sJDVb3lRgULSBZL51bxrJL8FQr2BrTAKWB6KpaCvpg5V7QqfDYuf1wmQ0Jb64h/J+lWu7fqmoy8Yf/yOvP514qlZgsMPcjbUZW8/0r+4ILAPSLLjbBFKCnuXl9yqZRKv2AJcEFAEaqae27YVbYXtiVQ7wcyJou6Ffo/epVRo4JzZy5zkUdFihbBx9AB16sTL8SWcG9e8PRVHNYHg2LJgEkt9rhy4L0KY1QOmH+mcBhleeVdd78993pkE/VLxvQr16a4HkZ2QeK9mUk0RsgqQ/QBgTqpE7JZ8rGp4WwUxYVGBYq/LUSl7nXHQNeG7uQ8AeKrG5sOdv0Q9S7dWSBo5jl0DS1dH2vlXtCZO1esfqscAlVXyttLQhcQrmbDhcOcR14oGNk93WYHcT9DpiIBTrGarNYNT2nl5Vs+RC2yQSfH15X42tDb+GGGR5JQ36RzZ3W4O+fl/KjJ5Dy2Lmeq8AYcN1/Z1DN53ISTf+VDACBVHL0hdAkkJq4HdlWZkoNw7LLUEM1kpJXfvXOH/S57H3Y3y+F8S/Ex0WLSoraeomqHZ2WRLW3I6r34MzfhJKvJnL7R63dd4JWEyfDiorjG/Tz9isr8kJV/q6X7dUv4bbSL+n7e88wBUjEWISYu1Z7Xa12xKPHkix4fIrneUX2DDQFjr+Ptlh4xV1iDOdWW2WkOhwZ1uHm776z199/QUGDlvLI61x7ZhTvD6zMlgZErZav54MYsxn82UVUTV8uVrSir+zc6MZhHwxsJHNZwM6n9wqNQVj6Oc6720gykRlFfTsvhhiwT/b5+Zmcq2lRiM62zlgmXLpTrBLZ7SNqfE91yJWAg/8IwPtz+BVrua2QszBsvG3ZKbCKkNu1syOc/xtfKKjF5SOmr8aTPM1AEJiMd+HvHE/s9GrXd63HYr1ydfb93I9/CNradPW0ZODIgxq3U5uEQuyqXJVpR0PARgGSM7QurHbAEKpJFH8A60ACu3fBcCS4243pP+99QU6mWDz+bLfb8bHk9QdEWUJzN6CAxCCn4KdoetZBlhAlDdVt2BarYreahEyEK7BAkNfd9ZrbjYnAMBsPZUmWSWL0K+qwmpv26ytjU3nnLi9ojoDrGe6qweYretBr6zXdtnGNtjQmz8h5jN2JMFmXW5fvZ1n857+Pr+/KGjTbX+t95w2JwEN9m/r9USw6lqziu7AymI/cwA4ARuTiKvd94IHIJ6Toen1xL7w2mKbxQseN4iUfmZyfbRxTQR7C57zttzsF5E1yf85As9vy8e+BIN6Sm/pCd2uyc389rlIrIKXY+z8LKJsXdKBQXvZ83tUDNpva6/ulAnhFnqhxyGr5HAxu2tSafHKPdMmY5nvN2Jjt9mnZY74zfNrnE47jMu6NmHw+rrjWH94OeApTWgtbDthsMyJfpSsP3OyI6L9uL5KiZhjo9sVGRTHWSGDIJsPwsosNhI/XEc3dluw2be2rorZiI2EWd3z+QGYdBp6gcm/B04iVnkuIQfMs6GMBiYmvaVMFXBiRUeWhNgwDQUyNrSJgaVsUXEAUAXznPpe1WR7o0Ykl0gCOm9KWIKpNzCQXve87VVbS73lwZAN7nM2Wx+s1KPD/fvYGUpCFLZupO+v/9TrTw9yn0/A4Y4EP520wSqqVdesfXBIcuPvuiXw3wl9KKuAxLkhZiPPKA1tjMh3vN04sRneiaU8iFIB2oEBbbwWhFNBeT3h+m6ANBNetyAkLoUSPUbc4U51vPJQLnvL5qcVSuYD77qBzvynAShHy97NnBEypHHChpd1UfDZSE7TouD6bgBUVxp5d4Q6vMsyvxN6NXbbq+hOmvcFb8lDyh4ApDOghYIu2M7vFlZig6DsAvKBcMvde3QSE4fleBV6cdkWOzTqXUV6tSDEhmEgBGIue8RzsGzMmgUOXklxH8Ces6XVYYhNUbYOf2PlYjixGt+DI1v4HuBjCCgjnbp0rUinDI3sUXIJkt6Dab25bZ86BFiyArlALjOvs5tugjC0BswLZEZ3xm0UbbAZ0IbTjNGqalJuHSudBrQdIdKycEHoEDvCgA8MVrgagIVV3jBXVv8chr19bXrQe7/vNKzOa24kVALHbjhbn+ie2e9gB7qvDQArFN4YrcOyslt6b7ajDniAxxtosvcHulHy7Lyq970alHHxUxVrgC+gZMBBOmyyV3TF7mWhcV3ucXtd6633NcPsvKCm2BNcfb3ZWEPBXmE7UDw44j6xwDsCbd8gh4JoguuqgiWMaDkglIi4CHsXCzqZUVxYtQ25rfMLuw/YGIn135lj3QODvAa5rhvbIb8xQEeB2vu60y8COFGUoWs8SFAQuSCtQRaSAkqKwH6EtAD8uLm9y8JK2d2BLR/bZI4q7XojaqKTnThc3qrYOqwBqJSGkALQAlAqQlmguxEYvV+e+6TtEvTguHQbB0ftWOVXssmCRSEiIAS0MaKltJ4tIXFsAzA9NbSzdAeDTJ4WPFjV1A//uCiJUgSdMG94FkBid3z9c6FadcIhubL63CpAvkt89sr5V+vbJ6zSKlC7lYXWE5PdQTB4pWtmO8zQ94Kz/Aav+Bcm2LSEzlXRSffMBtS71O+BpDdiMGU6QSGTlKR+MyNExTSQwCifRiAHLK843+Oj4K5o32OiimDndTVcsvNGiALjU70JSry/lw6jraNNoNdtRrA5tjH1JAEN0K0ZRADCNfOal5mV22mEHvcIpwtwvkDLppL7eIFgwJrwlLXtw9AWnczsdVjPG6x7VHSd/7B4kOu2iv+vo6PGgOmRElltNImdUXD6GavP6cIgpewTq/Fj6OR98UqCznSqGF44XxpZwdQQ6KOAjvnwLJSjcodaaNs6cZkopAiGLCtqBxakPBOl5o6nP2/IHuyudoBQdsF1iKtjLOt5LY3ImLpDRz6wbYn3srwCXPvX59dZpf3c2CLVCGEGXEmhV8steQBVDGe+Lx8E+ZB69dfhkG1SBl6DQkcFpoqQGoaxQhXIopQUi5Q51EQCu2BkgoAhbBbFMhBhJ5U2piNC0mex67AGAhrYR7n/WFENyYG+t8X8HD7w8oq9EmEhTN7HlGg1+kJ1T+KpdMqQp5m+9qY9EKAPKw1ol4Td9xGv/rpxjI68r+EFSJfQAy+NRHBA+TwQPqdKuJFyagPQ9hXzO57V8cpeU4BndGqCct8wvJ6RMSG8T0gXYP+h2vMk9rMPDKLDoth/4CA//SpieQUWTrxgtqnytggMvxvx46+/xnQRTB9NgrIBEhvy1xn5CyGx4P/vHrmsLTX+0teK8Itrr+RrZSA+vLCSujywElu/32OJO8hdQRoq4lWw+1gopfV1RDkA1z/LGO5n5McJ6THRf6jmqwufQ4HOXeP7JF5oF7zSOb9TzP/qwuD240i+nwicfhaRD4wtmgK4r9AmmD4GTO+B5TFhfj5CpwY8FMSBkqbVN3d0P16gQbGfMr48nFDeRjyOO+SPO4yfUl/jGoDxQ0S9HBAB5AdWo/E4ULDBUKusXHN+dr+nscj3TDJIFcSXiLisLV/FYNrRVD6GE3D4nlX85c6h2Os5qwFAAuZXtEv7Dw3j+4o4R0ACSt74VH/k9afDlZ3UxJ0pz7BWXbP2Klat0x5UQBWK+JP+qm2g7LDO7rybYXPok2fZPofWrllAHsrOVsvsGYlc3HHcBnwQbKAx1m+3jSksEOskE5kBK40os3ghm7NsWQp/35aZr7McC1DtsIiLAp9lJrawUT4Q1qzIZ/fl1a9tpsgPiZDEqtrbccYarLoDlUDZhIDeT9hlhnzAN4aCD6MYRopyj6kghIg5caEHy1StldzNPFlFshOHucOO1QntY6CcF5WNbIYlJW6qgUE2TpD2TJ0K+1kU63pSuFNF+HqXK6mV8N8UbydfdYV5DnITvPrvue7bLYxz2ycZNz3ijk4Y8NMAyKt0Yg/ftFvobY8fADPSto6rdlTAVp7kJkip69f6nDhCYZsscm4Kjpk7Lu7geaJg8/iWtHAD3quQ22HaOIrbbP3nv+/Ihe37rRd3hRtjzSzXzX1/9pU+Xtvqx03VFL5G8JP9Da9+ACTpSA0xVYxjQWsBeWD/k1fk+h9dn6FnG3WTfXeou1XZfdw7nNkqhL3ib9Wpbgdtz968ttWuTXDbfwY+D+GO7tmGNTjdTkNt7Hl0FuZthWBT0UWzBEr8zIiL3K5TX9MbGCircPZztX0VpCd4pCm0V5Aar2HVaVGlEPwmmGASa8OVYFUXJhy0EzuxvcTm299XOJ7BkyRmx1diMqtm2OUcjt97Bj+3BWJBUyCcDVXQdaC9uuVrZWOrHSEjNp9OaOSIA//u/k+vIvdeRXSnkAnMtaLqZ7Qni/p09rPSPpeUkLTUMKSKpoJ8odfBXjP+2fJa9H1jVfS1n5zXDVZ9IrmerzH+ztc296atw88qUn6PrPhtIuHPX5+3lGwSMPrZHEmtQFjdHw9w18oy55bJvjVJAmUi9kYve5NgNC27zRypVcmY7AjZHMZG1mLXhfeKYIf6mhpFgPbzkfrTDRgCGtgSJOajOMDIfQsnovTkvPe2Q8yxdrkeWw+igJqsTsj8WR39Gdb18bk931YzbypBNl8tgmR8bb0OlIoMXVbI2IAdksr/fDb/IhCxz+hmnHzP6Hr9tfIlK1rQ91e0cUgNYWiIsXVVjDqYDOWoPTj1YD7gFnnk38m1xGRHS0L+gBsU0HpdR6eFRX/iu3Bt0QdyG8Elbrbfba6PibfbJAFOXM+cy1tb3Ly9bgmIV0KP6yAoB+MfsQRERyLZ8/jacNZrXyft4nZLaaPG9YyvV+nbki1y9A1zGPucdvmzqn39suhkkH+3r2ZXPj/Q3TeJsyCdVlvMawpaDQhDRdgp6jIhnaT3f69cIQYbt2prKwGot+gcDh4QMuOWOkTUoBg2bRYdTTlV7HcZ+TxyXFR+ulbMnnthpvtIVrl0BvZpl1FyRFtGRJM1a6ZhzkhZupqFs9XXnfFMiKAFRYgVIRCW3d0E4ZxpAFJsGEPBmAqGoSIHW9teeASr6z2ZseOkssK6eTYBWqSfn6zFru7RVVb6meLxirsZZqc6l4ECaQZaFRS3d5vzEO77gWcdCfs27Qv/idefXskNAXKekdzBDoHVgstCJ2hIHPxpgBqE4AbaXNmXmE6bgxrrAUnHhxs3GbtcWBqcLMkdqrpjRtGZSFsKaHcjQm44/m7uwS4AZrarIpRwcwhBDE4x63qw6Vqt9XK7ExP4ZIcCHL7nBs1Hox3PZA7spAnK73UGOTd+wWBNJDloHVpGQhKKow8nNXkGwOELdW+OQTSoh1VL/d/AapjCov1+1YZeIoNyQpGNQMMCkzYIYDITLuperSeyP4vJRWQAuzEjxYbDkNFUoF8KliVheZpQX0hARqF1C2YrDw1fuV3m5eoBoWWWA5DvvTLg76GmXNlF6N7IZS6Um+rEJ0OA3o2sMCzMyBVjOHUpGYB9OxBBOQ7QuwGTKsl5/tA63zhFJM2x6lwPIGwHlwoxxkyMhm6wRJCosneyKqtpHojUSLIa61+MZ6bSCW1MwGeBWX8ZPARBIYtLHPG94k6A/7G1ko+BEBsjLOvESxunwqu1Ds1E61O1sodaUsgrtty7W+fW34vuaPtB7ddqg/XiTgzMl6PJD428ZpfX+cwp7wZfQGK3rB0K6PdS9qEHAJ8fOF5F6o6p/UXGWGO7NFHaOK+skh7gvjuekWvEfB1QqqBNinIgYV06o491ayBsyDgJUBTboKQGJ/dQdD1eO9y9fSCIQpX6nM5M6pUmACuJ2mfrw4m9+vNZgC8KBNcSrxXEXG0agpcMjROwn4CmSI9XrrNsA1uV6y1XVntThJqdktwgrSGoYsWQexBAhlnsR7TjjjJuxgLb7D1tjGjGLC9Xs4UpQLFBA42J6AeDKLuDGzLHqB4Sibp8/RpTbR2cdGZFyXDv2fssoHUehlWPFmYfSeS3fa2tHDa+XgX08Y7oRHpkq98kRNypNIfc17RsoXeB95OPHB93DKJVd3w/1DGg7Cc4EuEGJdd83mlbiaihpFizdd4GxfUddT/bpIgCxNjwan9lkJsj8kCN+JpDlx8CQGmszf6iDJSpGOydMA+39/RZsrMzADtJoAWRIRtjssOunVth+/kYgUSbXw2ZE/cDJFeEpwvC+ydozpCUINugNiW04x46RNTDyL22NIwfr5CqKPcT6j7yzMvaz2Wp6P3P+SFhuYu2Psj4u+wT1RGK9sRgmvl33YV+nXitN4FZNJ+ms/QviulC8qE28pwJLw3xWlDe7TC/idaXup7zADprtveXirKnNjm9hNv6xsRxOnFd1ZGf8cR9S4L5tfQgnPO22n9H/Sx3wRAH7F9tkfwmGg2xltlzOz/cOv9imt0agZq8Gr4G4O6z8M32XI2O08oxwrOCrNzaHW22n/jecDglN4ta36GOQtss2hP6MVVoUJQpUvpReHEpZLlnYWRtQdv/wAp7dO1f2/OhWr+234uwUiWedDdb7WPYRkFGMnSAAlWYSLHftTEinSrSYojGexKSzg/REgWKMVdyzYwRray2tw3A8VvF4bsAKYr5PkKaYnokrPX8ZSDcuG6KMgZz98KHFPq8ZQc8/svVdsmZGYde0LDP5Aey7oYjZX6ux4LlTUSbBC/XiDhHXL6UznLvPv/zXySgAeMTsP9ecf5GUL5gRlIHvjFcAlAE5agoRwZuXjkcHgPCDyOW14pyX7n27hTZxgEC4w1hgLj/dzvaLHP5nG1+eAGOv6Uvcn3LZOH4GIA2IFTgw78auu8znAD9hwmnaYIcGuqbAkkNaaxcPgaTLgKebYtgeLIzOymh2UbYmV4Ey9/dmR2lDxRn+v91YntUWAS7vxppxzN6NZz3I9BTQi4BD+8e8YvjIz6d9pDnBB0b8j+/Ig0VUyp4XPb44eM9yvsd0gtJfxGA5V43iBBy/8x7nvlt5PrXj+S7mT4Cux9oVDoqRAXDZKz0JrWUH7i/xyeiW5c3wOnLZiRZsftvrlbR+/hdUcMSE9fXgvnVsNqiTbvrH3v9k7Ary5IhhY69xMjg1iBxaMqfpwDpaVxmvHr1LFcKQ0fpDko/yDz7DHTdvw6FDvx93SVKXDSFzDzMCWETpHNB/DhDh4jyauqHZSgNrTvf9ixqDsDcII1GzjP3Glh19Uxi1zEEDLJSCS3JEXlPw5eMtMD7VNKpIV1dLiHAKUjd8e0V5toAST17zAVt2UXLLBLmtl5fqjDmsoAZwE3WvAvS23eufcb23AbDIaTP4KoGa3O4tDQ/LDgm7seOqWKMFYeB0XUQRd4H/NAEuU6oiwcOCl027IzmEHr/Ye8rEQbudUfCKTInr88WrhUhCuqeEXtYCoOZXSLraBC0iayDaWaWVpN0PTaYU0xJkkDCoUEwPEVIiuZkfRYZ1U105uvTM18OFRUBtDDQBToMSTTw8w5hdrZPAFIs65DIOhzUZCWEcOreD/Z55Y6f5j7wrVKZkpXRg0Pek0NZ1ebSM4rdOTJD0r/VqzMBZGnFum7cqW9WOWBS5dax7jA5qz72njU3TNbT1Pu4ogUhEx1tX5f6+SP3YG1zv+rBhh3Uxjrb+2Fl66TZfndiKquAr33CvgZXxud179ApGmLFq/GKpUX8mI6oObA3aZReAelZSJs3FVvn2+Da9qr62Jsh97+dDV0VhC81ZfUmKCR/hm6xVpBt/9g2KGZSAkykAGt/uCqkFOBGKqsCQ+B7SiX0c2OLV3KrxiB5WxWvtbN/B0f3fD6FI+WFOPfMYoSo5oAa6qYInKm5oxI8oRnX5EwP4t1uBEF1ZuPN2vAqZk/sbNaPS3l5ddd7hqi1bG0e9XbeVqZVfyi9QT9wvNbqX4dKbwPcTXabFROzidjMoZiTGcHMfVmTpnFpfbw8eaXBAosNasi5I0SlnzNwxEwLSIkw+5bolGji74Jot+enaYQIcE3DWt2JDDq21+IaIHRTB3Jn9IqU77dNwHuDolJA4Egv2gi4raxc4yScug1yCf1nD2s5MNHdoiCUhPHxDH165mejl/DsFQN0Gug7jN67DITnKxOdd2Pfg85070ngeCkIS+myPyoCWRp72C2hsgZza+LNbYrLmfXqKFZfYm0RUaRTgQ4By8jrOPu4Q3I7N8c2CRiZqHDiMCnA8ESnvveTWnJVimJ6boizUsFhMMjsuaFOgRrMNxnG9XmSaVTmA68fqsn+7XyfWctHJYtqOdoZb+e4mA47iaFA0JXb8ez7ju/t1UQFqgWZfobVHVl+Q5beJmPgHPREU1gTsb1ap4CEdmOiYlRoqChDM4lJ7mtnle7INADjI2UZPSHpNsGTVV6hCpnVs7KLKwzTluHKUo4uw7ZVVYCsZIzsV+W5WY4RdRAs9zzTp08Rg+nOa2Jr0nY9TJ8ahpeGfB8xv2IP7vhiNv/LQNI9L3IoIFbUqXuOc2icNz0A+euFwfqnEWExgkirgPvZXPaKtm8Yx4oxVQxjwXwcoCFgfh0QMnB9pyivq60poS87VaAEDP92wPTExJskLgxtQkRMdN/Q+qmnisPDFfM8IP3+gN172vrZzpY20U+u95X9uk8JembLxf73XlHmfZ++CVgOium94OHXGeUQUPYJrXK+4wzMbwSXr1nkGR8BKcD0gXvx/HNBerdgmgpe7a8AgKfrhJwT5iZoEiE1bkhqb8+DuADTe8Yd1aunGV0TXQeFXAKO33KvXd8GJpQ24JYw04/cp4xf7D/hX8svEC+CMgHffPGI/ZBRWsAlD8jnAeNjQJil59nbxOr88CQYXqznHqAvMahxl0RIY/A9faqW0PR2D6DOAO6lM03XHVskwgyMT4rrF4C8nZGnAfM1IS6C4Rkmc4kVGWJFAd9z+Y7+YZxXber/nNefDleeRugwohOWZGf59EArAIl6X+FloTO/c3bOCnR4AGUxOqTNnZpAZ1iadohnm9aKGiwocvhKvmefjTsEGgS6YzU5LBXOGlrGuAY9QM9EtCSoU+gB3E0/oPWmAMxqxZl6jKLu+GwWnBlsUWVTt2WofwLN7QZNqPNq9+LGzb+rB7sL7yedxQ4+3mS6cuLVsv9Sybb8eUnfjVEd3aGi4Q5Fu76cB7saWRH0jOxWI04jmF2rgk8ve8TYcBoN1tYCmgrKQjp2sWCQwQRNcEsAInuAHabS5+MG1uAOpv0okaxDFJR0aMy6c60xGAgbaGcbN9l4c5xdyxFiLIfDeigAAHKBXmdova4/a80CXYuautJ96Gu/v5L12TZmegn9bFCNa8XXIZ6qhBrpZ1sx0FFs9n6H3nvCJJS2oiGEUh4yDdAUUA/GbG4BkzM0duZLc+a38GLA1o2Ch5hidU4Va1+VZfLTDKj3ec9tXac2JP7/Xlny7+lBOfcttav5s3Rdg84OBXL0gcuZuJNiXwFsHIUIbJ0yR2J0aL/cIjecTRL+MYfmb/q9trCiZeFN/Hih5kFKDW0qyNcIHbYwce2fX9fPBnZmdiwqEBxe7oRk9ore5+lwTkVHqYRifYxReg/WtufYkytb6D4riTxAh2lAcNhnCLjtyQCDV1vPnIuNnbzMrMo6qy3Aqi6wQgP9OaxlBaqQufA7UwCGYEzHZo+HgBbM7hqRTWAfxx9O7tgQd9u5HUOsdtw1KH1tOEKnWOa7Rdu6lnEQc9638PyuDeuXVl3Zzy2g9TMKij4PgNtm+6Cik+c5pDSaefHkk5gzGTJ68Oswsl79tL1L+4X1zHEbKdisXz8Pwi2KwpEd/r5Gp63NgvgcsciEcox43lGjcikRtay2WSMZ0KMA0RA3tB2BAdxc2C3iZ9wmIezj0lFL9kxS1IjVdIVfDwE6scWjJz2M2dtJtVj9Z9LEYc9toozUOA4McFOCTBO2uvcIASisjIYs1K31nvcgVHQ4SUdOOJkY7yGgjiNUnEindbgzE+RicDoyfbfdZrxVoTFB7tK6tzcwcoex1n1AvmO/bljMd0iCZn2Y/nK/p45rgCyNVcdwlW6/fJ7pD6zzQtirJ7IFg8FHoa3refqeSrPa/tAeLLNiTbtX9uwP5jpX8iqYEx+vYuPM78r3TgBlEekWohgECNp1ah3t0xOBDRsZxvVs6ntN3HaiJ4V6ct4CVskB+TJAoqKlBhFFc3xkDpbwZO+gbO4jnYg4S7OadBD6mRoNQtmRHVgLBmTL94IJ569LhG1szOdErf1sHgOWVyPXgME3HWHoDOYAOoeNv1oE8iF0Nup+ZloPfN0747XZrwgqd4BVymHDYJuugvT92AmWNFkCewn9nJYG7H5g0uma9/j9NUHND+R4cizqoyDkSB/aZWgMtRcK7QsA6jr3hwHiJaxw+kQ47pgqfU5fxzsG2eFKoi2NQD0KkKieMn4k0VO+N2cYqw8RZ67D5T6SzdwIApdXti+n/pFuT/PBArkqKD/ukQ8VYyqIYUUJbF/uF8TZgvuw9q3WnSEWL6Y3HdfgDkNDuQee/iLZ2GHTPmYJo10Dporfv9xhrr/C9TpAJwWC4jSPKC0gBq6PtC9Y3lI1QNSlVemPcX8ycX//d5S5u3wtJLYytEZLQNmlnoztrR2Rz1N3HKPxkQmH+S1w/YLs0u4/t1GBICuJ6AC0ZOeRJUi97cL3g4pd/w8Wfn76+tOD3N0EHQjLlMsCzIaVDcEOmEjykmtGuJyh+wl6HHmQFHoB0sxhN6cXwsOLgxZ6hjGWSgjKjjCodK2QpTF7Fb1Sxc0+PlWkS4FXeqUqgmk95rc7FIMi8SHMOxHCcn3SOKr2b0VfVGUPtP3GAW5KSQDro9lmrl3ewQ2R2u9ZSaQoPAAsrwbUKfbejW3FwZ2BaJBM0WCkJe7UEna0+6TIB8H8BgiLYPpUMZwKyj4S9mLOIBnh1gOIh7VAXuyeHDplmWcGoq07YwBMfkYhOWD+tAOi4jJMrDQFBrJ6SYizdOmM3lcJdB3UUAlBpi6wZdQ7s6w7hNoTBl2iIyuG54w2RsxvCB9JZ/Y8hZkOSxsjyh1P6XRh9b8cE+o+oA7U1XPSj5h1rUrljPbxI+pGcoKsy34SRcsUr8eR5ML3jAN0NEKTTPkiWOJHVKFIVkWwRM01WwDNvpXe0w5WpdpA2QIU9MpndxLN8eGhGVAPA3QIJL0JdLhCbpa4WbPNsMyxyxx4T07zHqyyOkehKlBXsrTgkNvcLPgz5IOuDMadzTVsHMNupMxBUiEMNwoAalZqpMPUkva1KUVAuDnXTyhrBrz3eAUOWWf39B5lxXp9cwZXiKD0Z1kDcFgPnNuFNcANs6CeE64l4KNo70EfU8GnOaHNzii+Bsjr4mCCKOS1mi8K6IZIygMP1+7dQo17gFIb/z9XBpr7oRM8+drpuoru1GwCobLj/6cfBwRPsogtiM1LnGchRkr+BIHLEOmnj9DTCeHVA/TNA98/f6Z/BFgFuZFgrTbIvPT9Ic00HQuD3vkt5eK4JsUcXxKvbANaJzLydeTw7zrFPs+MrtBlWrJB4NNFkS5AgQIH6U5rbx1JglRXAsA4K7YJhrU1xNojDDordZXw4B4Ka4JpG2DcJF7REy3xavvuyLWZjCSwk1E1rERAtifawICiJ5EsGaJ9DdnaM34FR//ERZnwkM3zK5M+HnyICkpOKEvA42GPGBrykhjkKoMSTYK6535NXmVIghIihqIIl0xpnkOCtMAEt5NL+RjOXGOeyAulIp4XdIRMFNSHHeoUiMY6mTThjraN6C3p60aq8hwJgnK0AHjiOpdpgh52ZAr3vRIFYSnArFyXrhVtPerhvFDSKlfa7yGh3k3QgXBRTySns9lh24fpXG0PeVJ76Gcd43wS5mnkmpw+NXMawxo0zw3LfcTlXUC6Ku5+WxCvjS1YKfQz2NdkZ8Qe1zUX66pZ7hVRZzPdJh875HfHOY2zIl5qZyR3sksNVmEt2gNRMa3ZaIzkeS+WsKBFme8YQIVFkF54P8OJfsX8haLeVUrjZIGajyC2H7e9vE7+ybYaJh68SrSF2a52kCbNK6OAFSOaoNo5oxdB0wRNirrjAGnlGpcsnTh0eOGzlR39wHRR7N9X24MbJ1vZ7xpm7o+yEzrv5sNxX2sPAqTBCiTatdy9x9aRDW7npHF91AE355Unhbn/jNQ1NyZD/bYCie4Wkd77KhbMUlpJUR4qwkJj2AZgecM9uP8eOLyvWI4B5SBIJ8XxN4TPn3+maIeGYMkLRzuGBbj7HeHsL+eI+Z1LS7FVYnhRDBfauDqStGv/Y0GdAk5fs9qtQjIrAIinsJ71lcWdLtPU6AAcpwUhNLzs7iiJuFfE+4yWRwzPtE3LW47H8Cw4ftew3Auu76TfG/euIF74HNc3YUW9DYTbt1F7D+02qbi8YqU4fYrY/zZieR1weRjJabBVNdkEamhMchNhBNSDUlv2riJcA6YPtMl1Dyx7ShmGqUL2FfXNjKUGDH+zx+69r3PagHCXEWPDx493+PDjPVACsGsMci8j5pxw3C1IseLueMUyZVxeJuQ6AR5QBiC/qcjvFIe/G/DF/zSjHCN+GBPyHX2zfHT/bvNMQE82lTtCxuNLxPSeY/r0X2ccvzyjXQcU0z+mFCnH1gmyNCjCNZD0EUagGxTDU0A6ce2WAV17/T/1+tPhyoA5AnTgMBiupFgporaVLMKrUtXCcWElQjJhbjx8YydIgFPFA+iwHGepdOjP0FiZM9bfrfHucLjaaDNSWAPncSUWUWM6ZCWIPaN1U93rxAbe9+eEBOLZU0EEDUPMCmSH3JhT0/sX12quOrzl8146dz6wLpx1oIGuZ2sHQM8AJ2pw1XENKKkjF3oVr1c27FC8qfbZvbRNoqCO0g9Ux787O3OcgWaaoGUQoAm00UEV0wZz4e64uH7qCjHwxnSHUnJdcPw9ceD9y17R9aSBOxDYBgM+dgI6TsBNANBiMOIKC/a96hPQA8CdCINVALLfI2gEnu0LUgSClX42VbdtJb5XabfzGQQSLQrbZp46YkHWipjPhevq+pzbod2JtUSphelZWbEwReUPrCdDQ4Q1ceLrQxNQLdHQkxDb25TV8bgJBpt2ts2QW6+AbKWgUJVkXyodHre9p20lbtVdtO+sgt7W+ZkR7dDqm3FBdwp6ANHvl79w6L006a0Gan2wW4hY36vNIHhX/r+NrJZrCZijQkQRTD9Ml4jQPDGw2h8GnExQ8L4tYAqykoUBQG1QCRAIyZagvTIZjKTsJmhOYR1XoFebxOyDr7ttRbxZT6hu3sPPtlsUwj+SHXUZIhkHoO2IRKifGajoqAZAhPfdSYSM5ErNUZegRFNbRW61eWuCZFt9/EO91X38fC3Y2Litow20DHnlnvXkDsBquX9P78GtDnnc3LtvRYetbitwDj2sjXPi8LdqX2x7RhWdVCZEWeUWzH47ERCAnrhcH9T+smDlBo5vVaMOb4+CdZ9uJ9BlZG5tpvfjk6NCoJm95ZoCrpcRITSUHKHVCGzqShbTAyaHf/oe7Nwca7sCfwE4kZqTO2lD78nlDclKkAZ3JKXbxDYwwV2nsCJUIhAga4+/a2o7W3IzDfUNLJ/yVqEPr+RiFURLOCX+XlDZipUif5a4jm4qh8BPEnydCbesLTgul7PV6iZDMitXhCza560NhAli6Wy/LUn3dTrKzP7opudz24LlsmZo67279GE/e9XXN9aE0fblP2oKCev+kkaNb/8et3tNYPJd0p3wrTayVCEMvSP5wOCzM0ELexbDrb1y9IUjI9zWeuDWE591Pdu7/+aVVDFfT1l90yXYelE4WWUfE7tnPyPX9X0b4G4LG0Tb8KL+mWCBrCSgxkAiK7NvLjkIAE029lA8cbtWbxUM/oG14DAIOgriJ9Om2m0grPLeErBYe0OYBemR2rnemjd+XAcgHyzYs17jOCtb19Tmq6NB3MfDTTFECs9ADxDXXmqg7gVlRmcgjwapr6Ml7xPQJkN62TVKUQSr9qkoUAMeLzvkHPv3Oks3z21bHz7PoH3gfrI90/cjOlKFsjlmi8PKyE0fRTZnPMcBkYWdaL2yeUloTVBLRGt27UL76YnIugda1C7R00YFTJrJe+HruBYf2iUBSYEJUPc32u29h0C/RK8JyMEWDMev5ojWAmJsGBqJ3Kah4BrH1a8ymUSp0vV7nZHf1zmTAp/5mb0gZ3thg2LqxZNrxOlxx8C7CmRZpZNQ7JkqIDWsFdzg1V614of0ineLP13vf+j1pxNPqUJOF1Zw9zu0V0dm7z88ArVCYoC2xoPKiHjCy8JM7XGEDgHpU4W8nBkghwka1p6tbjwF5iAJ5lfxxtDzRri49h8KpDArlu/Z1KxZWJmcWB3OdwFlsmxdYT/K/Iabqw/M2ZrK3YkGkM7ae1E8az6/ZmZnfOKhND5R2NvvCUAPqtKpIFwL2mFAM/KAbvc9OBBWGYNVFbZwGBc/b8kMNtAdtuUeHZ/vf66vA9JeemWYYuxe8eY105lVX9e8RVr7u/KBCypd6Iymq2L/+8UqaxOWi7Axf8POqgFdCDudAtJJMDyRKpzVbIPvWF9h2FRQgyUI6BjwsJVixtcql/GcIbmh7RPqPpk8g/ZN3obQq9Rbht+6p15l9Z4hO/haBC5f8nnvvg3QxyfIfg/55itIW3qQq7sJmnY8YWtdYflWAWDFK6w/E2EgEIS/28D1EDZ9g1PqMNawVDpwBklzh3Xbv8pARaB39K7jYoyMRVnACRZkePLAPlMHrEQllhAhS6r1HZmmqEO6vNLT0poM6gGu9a6GrIjXgvgyQ2NEfRgZDHnga44fdQtND9KCyFAp29STDSahAAjUpKu8FxzA2lNlxrPvC3BfbBn4enCrdiDBnB0n0VhoxKMwqHFZiG2w5RI+u/eshKeTIL9E1AlYzlwvzQ6ZqL5G174wVhLN2dGVUM5tB7kMCAuWEKzCZvft0EgB4FUvGyMVI1eKoffwwxxqjQEYQk+UeQDQEm1GvjObOQSuUVVobdC29jTQWacz/PlLowCv74F2hNbWE0Ia1wBWY2SF7JLX7xAhgicElPsJ5W7oCZKe8AsmK2WVRk0gActcLeHAZ+29xp+/xPaHVXAdvln3W+iU9Mqmo0S2AZuvA2dwdCQA723to2Qig7wPXRbvUoBAGCSAvqfbEFH37GGSmb1rUg3WFYz1eWGFSKNQSmHniAWFw5O9BypU2u588ESO7581gOr9wr4+s/bEj9ga64GpoRfS1bgqFkFKQFwEM3aogwLmZMQzZTbSCdh99Io3UVhMDtBhbAezA0URW70JAD2Ycg1xiUzYwM53b73w8zAs7Pmqx4FVzJ3LMIXOrg41jM3B9sdotn2ICDHS/zidoW1F5pCoaoImQXxZEHKxYDoxkb7n9dhnzv1X7gY649eGcK1E2ow8VwJAG98IN5XaEM4LYgpIc0KZgHJPSKVL+rUEzK9ChyQ6omo4AcOpddbhNgrqFDE/hG4Pxc4FlxbsUlQBcM33UGFtyIJWgDACtTAYkRd3kLlHeY7Q6fS2qd5jZwiLobIi3zY9eOnaEM5tPXOSkIyrALv3m3uzc9/RZ/EKoBkiynxmBijaIaM1bpJfW4dZ6ZOEzKSVo3wo2QWML0RiLA/CHtTCCmIsCvlE+zu/E7SdABmIp0So55uMODbUWfs+TVez24aGaYlkWwyy3aD72Wh/ZzUpM+nM6OR6ANpkvquR6oTckM6Z6Jx9QqsRdYrIk63zI8/srita1ALVlRjs/8/bvyzLsizbYdjwiMjMqppzrtfeZ+9zzr0HuA8SFGAmAwWZsSFTRw39EHpossWGvkA9/YdMMppMJI0yiEZQEimQwOV9ned+rTUfVZWZEeFqDPeIqLn2Aa7swFBma6+95qMqM9LDw93H8OGHHwTxibozukTUwUGGnYj69ray/9JGo+0P/P7hO8XDXzP2rTOwPAFf/Pc7VICP/8GMy1cmoroC6VHx8NcbyjHg+U8SsBToxvMirMDxW67H+tYFJHnN+V4RvtiQl4RymCAFuH4p2N5VCmFOHDUzPzNju74LyBN7e9MXVxZEgxI7e5+wF4HugUncNeDlr99w7SfF+gGk1K4RiIr1C1Jj4yUAhgKuH7hvyqw3Z0m1mLgXWWxdJqCeKuSYUfOMaaWd1YXxYz1UyFIgJSEZU+HlcUYOClkDJHOkkJgiMtk4wPXnO8Kpn7128qIGosFhE5SFSa/sguXXE+qs2N/zoik0awW0SVEWxemwI4SK9eMB4RwZi8+V/cyPM6ooXnJAmojkvj9d8PxyYM91APLMewnfzJg/cmzU+SeJ+YICsvO+8321s8DOH8tDnC0SF0HeAxD4TCQL7v42IGwL8onn8ch08kLW/JFjqtb3gpc/rtBZoccCCYq8TwhFsN8pyocddR2Ylv+G1x+O5Jpqo9ZK0C0EKi47ldPpiVEGJNehox95v3HEhRfVHMkQMGnwRM4ludu18C//2WpJApVarXoutwiH032qVU88UFZvxxwKFq1K4X88HrTAgv00/WB26qE76JBNLbIOyx6GezUEQYYqjVifYB8NYdfiYPhwLd4/A/SNlNHRgjpZM3hEu1enrDL480OtV6kcKfN+WiZx5nQ3CrS0ofN+fRJIPXWZcKdZ1x6kNiEPz/IrK2GonZqMDARDvEIxRGuvCFuGWsHidu36M9MBHWyUzejPaXjOtm7VexmL2fE8QfUVwuUo7lCRhgneNCQ3F7tP3L4CCy03I1jsfZvaa62kiDoF2ZNES76awqx0EwoFNuetF14c7dHAPdhRRbN3U9+sUdszrqIm+NPX9FWxbjCunvC2/eXInXhSrK331EeICfB5guLJ34j6CNr70OQG2XqPK4YCl9v3DapviafnWV7NDsLDRoTUrRsbUo6Wot9hwBr3nljUC78XDwObotl8t8H2td/3sh5afw9G5KDQ1+D7OkLgN4EfoTN3J3pTyR/sfBS38L3wb7q2to8GW5VgKAuld/szdnq93Cx+SwxaAhwC+uxe9ABw6B+9uXbbv23fOFpdYc/ox5LwntCrBdacb9sr8NwXg3H7OtceSLc9aYWHEe262cPjsimIzlsxK2TSscXZHW7fAGoxFHuiHYoSwa9Oo/Dn5NXxm5tUaAhNiMfPgYb8RPt9SzxRwZET0A7iDvdM27NCoe05LfQT8QpIEW7jOCByGdZSYrYx7N/2zIGGajWk0W3LfIMrPt8+e2n7v63rj9msr48llSPaVaeeBIrYuW/ocXs5tRu4tV1DoZv/dZ/fvmY/95pl9eqlztBx1ooO1+w+2lEjK0Jz7fo5HHY+/OL9/jbxQCrQRgK2fa59r0+GACvZFyMzIACNGuwL+RkCaHY3rvVoj75mngg2gRg730NRVLDg58FrCfRv1a5FijRBN8De22y6rcsQ3zXEKvqz9TMPrbCjpe/htpf9bDB759xcbYwE+BgblU4tfR3neXyBbo9hZCgAw31IP8eU+7whybbOoy92/ybVUP8YINPwbIdCs1b/XYtZ545c+l7Seruf3P/VRW09e7IOIfI4v1RsCByDqYp4ziz0JNLN01lakTmuHFUkGUTktO9TaTY57C0vSosC0VSX9+FMStZvja5XUxNM0IptQeP2DLFAJKBUsk6IIHOP1UmJLouSJaDuF5kkitmyF4TgKYjvBdukHhM227Pnq84CMzuryQuQTLq9xU4KSMGPQLiGjlY2n2ufP1WkiTNvVS1fUiFqaTZQZyKrcWghkzZyy4ul/b1pw4F27bTqWKGFfdEQgeaAEhS5BuzF0F0fDWSMzLY/BG3+M2M+gYbKQsI++K3BNY55mAr3fFAWr9KZZ7om3MT/Wty+CCTuNgNXRSGxQgxhrpOJI1pb5N/l9e8myQ0BMjHDCteNC2n9WlqMDmejJtr4lFKRHq90ghXQ+xPqISG/YakyXjLivrWDpqaAeohAVcwvFXWVpuTHQcOCMAGXD6kJKNn53RAxr87732URrCcx9b+KOrFa7UlfPtnDsqpoPrECtN8L8hFIV2D+aPQfU+N0MQwPJkOpSJ82igEYpSTsxUYIaB8FYhaSzhyj4eJZAFr1utGTIKhZEdwp+8b1p2n3vr2RfiDYAUP6hkIns0XhPZFWbL9um2Z6UYRnVnnjRsd9/cnSPjNdFfURXOThAHdzF6MoSVVTSXYn0SnJUrSpKouN9tGZlMaQK8LZlIaXCIlggWTbIWtCXJxG54El30+drphCHwni42XMCZcJXazDg44okGVmEL9niPZsVq4rZLKgxUWo/GWUOgY1lYFbUa5vQ5P9FFRgzwjbzsDptLQRWVx7o92F3nPNcVL9uQKvDmGgFynsMwTS+rb3U+Boq4WS8F6hvEkObeRE2AXhiWiDB1Aj8hQyA/NWKAhCYTdVxMveA8ZgKMjGXrqGMjeauMCVoz2ZTS/FWgdCt8krb9avtTSakT8YNHTjJsEM3ebZo8mEPq78/bBZjxKGcSg7VQvJGjH2gx2804UBUp2Jco2FooYIbs30MVt/u5jQSY0CcfTer91RSQuknVoOgIyFJnRmNlwVUgtVwQVETo2Srwidaj3YhRdE2FPHYCiY0jdEIPMEea0k3pICQ7Es4JeGdNE/6UjPV4Vcd4hkyPkKvVwgywK8uePvruy3jMb6qJOJv9m6Ywe2h0CtBAsIpfYe9PlT5ki2UhFM6MxtyMfz5GNoQ+X3B+7x7X1FOVak54h46Xun95z7vqNt7fcRY/I+PVekS2norSh7cVGUEwFEoFNAWWK3fU/ear1JrurkFfhqzzMAM3u569SZG6i9nSTsZBABsB5AMZGSrsZaoyCf0PaFBpggnJgojzbWUlzrzT4Rp1UjILW55bTlVhi0FpmwW5X+qs3XuChS3Cv991BoC9cdrhzPNpLY1kCMhh/2yjzYxvopKoOzgQ4arjYeLYT2HlIWFB9JaD4g3zP536kLh/1hwjxNVlyTxuoAAI0B6WltmghSKtWW72ZoDAh7Qdh26JxQvnpH1PIlN/+0LzauaLWzy89xQz+3dzPq1wvpxTaKTzL9DbQH2mVmAnH8HddxeyM4f5WwfFScvmHvp4/pQaUt8JnYjVhxzJOZcl8R7naUS0L4jgFBOfAsiitZA02fwOinVJM3lPWJvYmjAFhwNNWKHwB1LABges4I14L97Yz1PacbpHPlGjxEZLfJdr/8N5WWx+wFqFZQ8wL9Z+01oQMR1y/s17I2O+cmsf5Za5uYP6qxGcwmbO+Qlhta3FKTQl4iyhaQHiPSi9hopV4EEEOEl8fCPWR95tQSYQwqi4lxGe08GEDTFJiDtMLUfmICFLapJbvxwgsNR9snmWPk/OwWG5lXJ8H2BtCk2O8Cyt1MAOC8I+aOcD3/fUDfV6PAamtzmB/pA117wMfn1ElQ/8MjNALXr5QiQRJY7FpARXEB7n4JzI9T76mMwPUDtVIO31WEzPE7+4MgvQRs3y4QFVx+qrgWInZvvqNQWTmAkzRMLfr8s4r6wHUonw6QLSB9ogZBORHZ1MSkudGFgcYglCyQNTCWWWk7+U0l8LIm9nUGQHZAJyC/ZRN5+uWE6YnCW9t7nt3LR+6T6TFBY0K8kv2Y74Dzz3kOH38ZMT8RdOGYOtA+dvbWpiv7SsuBcVM+WtvKpwn7S+pntdGeAaDcV2IpgQldPhXkL0Ga78ok9vqzgssfKebvIo7fCPaz4LyceC8fiY6XE5CWjD0HxLPYHgioonj6zQOetzfGuOQ1HP82QVNCPiiuX1fEs2l7VLTe93wS6FSQ3yjyAxP66SkAWVpCXI4UwZJNEJ+CnSfe/8/iyfQkuPs1/Ux2jSCzI40UMCsHwTop5JihDxnbMSC8RBz+ckG5/jtOctd1xbr2xqHHx0f+j1Fs4bMXcwFSRD3MQADCZefIAuuBETWKXu3oL5YZ9ZBQD1MLctLTxt8VBn/hkFAPVNUNqzXxx8gg1lAaCjhwo7rSnVqPjyOi3icU1JLkgz2YRdFH8vRq19hzRBqUHQiTAldBuvh720v6QeCvcN4oXhECA8TyuQiNJ0EhV1TrHbjpvxJpybZaLgUwKfFEpelqqP3bEVnrPWiHhYDy6yAoKQnQ3HvVAL7//MjZdz7zT6PRlAQmQsREH/A+Y/vdzCC1Vb51CMpKR2odqfZet7BlBniJypViIiaaglHNudkkF6ORKW3Mlj9s1ttdAiQGVAWDT8BGFHgFVwHrq/agBLB1iYKiG3QHsg50iN0ymRjQhEpG1oHZKat+bkeWPHiw698TYfIQLcn1HqqBadAPdtLv8iJN+KkhTyP6BNy+D9D6t8rMBJd09U7tbgiAG26kQbDwgJbkAmh9bzr0GflnUvRCKUBUAfWA33rzRSqRIFsjBLDg5ZVSQ3NjVWi2RM/UZuOuNyg8piHAk57E+X7xIMnXrxwULuLT9rePgmg/J5xpu3UKbRl6G0krs3mSua9HOYqp9vZeOn/FlTOanblwo3Zse2J8jWNyOCrFGAsT1WPH5yo7C2T1NKMOFHC3Ybe1z9AjRxiKompBteQm45UEu9vpQMdHjD3R9Z95jd5a8qzbBl03o+sbnTMXIBeEJUPXAISE4j2Ra2300v0EQ1wsGLSAOE2BIn3VkkwR9oB7YhaZpHKeIAPdOivKqQKHgrqF1ncGHfqZ6rBO3sahnnAKaaPmq/nglYVaU6AWADXORrW1s8B6H1tSbH68Kes3aqcXePqeb8sZgTIBY2GLCYK3HNjyq9HqFgZszs5wdCPY83cq/M3IH7c3UCGd+0zhlIum2+Bm660K2XyTozhFrYhIcSSk0M+2XCn4FAJuZzezCKCVasRtvQroF8qg1bAXyHml/aUImSLiKQESG03V1UnrzABLA9h/HSoqKjQE5IGCo0EoLPX4DKTE+EVM8DIKwkrRqXqcunDlXqBZUA6c+Rkv2lTum683ey/HgPUh3DCtGgKLwe9Y7938wvaPy08S1i/sXP+dmdxMX54GwZ4mIugv83dYCo53G87VKpfafR9jGfbL4gArNDMm8n1Tht7wpplQpNHc3b9QgdnG+V0z9N2MfCQVerYiDu49O3b77/HH2E/o9i4Ge2o7mzx+0Zb0loMlN3MFpor6YuJmwqS0akc+2dfcz5emTWEoUrr0PR8gCGuAFm0zSMXsnIcM1yNuivRC/4tiwmkLlV5rEpTIPmQohRn78x7YO8o95ihcnQMkB7Zm7AUyRTIrYlfYpZItjO7ve15boSQnhewrwuWKPEyFyO8zwiHZ/dveykaZt73s33O/cjVxrHxXoYeCcglIzpKxhGf5SCG/6xfSY+8TkC6C+aUgXir204T9jgWz9MKENr/hHjx8k3D8tmJ9K7geOzVYJwA/WfH+zRmfHk/QjzPic8DxG37u9l6QD/TrOlUij2Yr8CRxj33m8pV2rUlJr47RWASwopdCDgUhKaATUcR7Qb4vVHJeXYyNfpCxsKn73rHYsXwU3P+64PI+Yn0vzWbcxqZnA78mabYMAOHKC/dtTHVky0MOpc1VBoCYKuZlx7pOqNeFZ+O7HYfTjvx0j+mZh0x6jER+VxOeU8E0FeyBisUAkAvR2vgUMX+ULh6npg0hQP45eH+IyPZe8Yo+rSUASIWaSNcIPTMG9BF/NSmQKpBjGwfWmCZWkIMKR6/uiu2eomPrm4B8sv35wme0GnIdlwJZCupLxPIDUC/4O73+zknuf/af/Wf4T//T//RHv6fJoEJTUgZ6INbGp2w7A51aGQyrQiae1GpVQ9kL4mqVfOvZaXMVI8cTqI/4sYpUyArdmGy26xGDvS9qCox2GGt3OI7EuEqfmuhAtaDYI4uwcabWGJSGbNXObImvIZRMhAVSWdGi06pMAsSk/522Vx2VYG+nTrzHRpMKQIleabTK6niq2ddbX4A5GhdXANAqI+rBUCRvH3ZwuNFJAXAGpos0So9TL1ysh5Ea1xXoB5QoN0iZWMW6pXHyM0YqsQfaPq/UxbgAoJxMYTh1eqoGBkjtng8JFUcAYC9oCB0piOx19RnJANFBBApwjXMlmwpt9KSc1/2vn/45/vXLP//cyB21chTMr6klHrkhAv59tZFKsm7DAgiTW+/hzbUpijOJt+TC+R+2nmFcQ/U+O1/D/nW3bxgy5eJh1VBr2olTPsDKoFGKgn2s9wG196924Nth2IWspFFGmIBGK0KwCNAQwgGVkUZ3L1A1pVenYM+xJWSkvDHAQqR6eaMZ1cG27XDuM2HtPhcPdI3CZFL9HmjrakPho7Z+Jx17qCxQi5u04geVYXnfwXxEcCaKgMmL2TWduQVHVpzw0Q7O9KiJwZkUzmwGAJiIl6gOdupJgz3fOXX64ZX23VQ5LSlhfzO5onmx9QloLRe/z85l35mczhOw7WTiBKd6CXSZoHOCXDbIdeNnLxwhRwaIQo4H9hnPE3TPHQE28R5S/q1wJuCebYkY0CinHoTB1GfDhJATwjbBRVs4fkGQl9AQa87V1F4MUXuGSQHrSWThzQJI2wOkStkz3Jh4x9VQPrfTSP+tYP8bkeRw04PeUG7bz9FU/qsVFolaVgv+oyXz2lRkO6Wb17jf833bKAVLnOoBjZmx33NPq9l7OQdMkTMxxZR2p0toveZNPAu+f30GM7+UtGIJoc/29WKJuz17XuxV5rmcp4lKyjuLETr1eICiNxXhuZqfVDj7RYNwAoMzHdwWDT1HCMAy216ILJhV2rhWK0YX64dXaesXdsW/fvzn+Nff/5ef2blG+8zDwtaUA+d4But/JyursyM0CUpMtrdsTNBezRcJiqnlx2tB2CviNSKN4pWByU8vXrIo7b7r5avQRt0cf8sZlT6+ZGw7qKA97A987vmgZifm43LA9Up6Un6oRAJdAdcDVC+Sll68k6qoFke1+eaWoHlSV6eAuoyVGIHOAaqxJwD2R1SRrrZOhbGSJ+uNji9o9M+qAExZPd/d2rkmoBwqBXFOBZIqjxRRlCrYKxCv7BdvdTex9ZmAsAuWJx5yFNWUNranLIL6lp8zvdCHxiuaiBKRTlsz5bPebfyT98bmA/dJuiqmF+1UfpEm4hkyRxtOLxXpCrLTJmmFgzpbMV6Aeogt6C8+FsoS9hHlDjuoYVKBv/zl/w1/+Zf/18/sfP71hHjkeTE/CaanPufY47v9LjRxoJFSiwqgCuqhYn3PmDudE4sJntge6Hu4ZkzwLu8jwkPE9SeC9T0/J2wsPNSVhcn9AXj+IyLgotwL+wdLXC8JP1zeQKYKebchTwnbdQIqsP6kQE+5dTWoVNQTr1Wupn1gOi4agHynLWbAxvvc3ruNGLvv1wsEwPzJnntmzFsXxcvfq5BdcPo1sHxiAnz9wEKabAEqipefA+u7hHJkfC0VWH4IgALbWzIq4waixA+C7YvMZHyiUYUfJkxPgT3Cb3ZM1i+bYsXHpyOyqRHnNQLXiOUH3uf1mLBPFbooLl8FG8PD+2+K49qPpcb8K6ColJ219LVAaz8TK/JsocccsTPm4gbgY8L0LFh+6PENFK0dEgjQkBoIVyNQ7/ne+Y6J/v5G8elPksVe9AfVkeB7bWcagqJeI8JjQnwRzGeOaPN57/+21985yf1n/+yf4Z/+03/a/v34+Ihf/OIXPISiVWqniHpIkL30oeqtQmuerDLhBQARodhU8YOP8+q8CoxcoPcH5PvZDo6MWgNwb4lfVesH1eY0vTcpXRXzpx35LmGbovUM8Nq9ElqGij+CAj5nagZVzKaK+pQwf4o9gRAeRNEcnwshYPMAW5ARkGrFtJLmxgQWTMYswW09W5fNgqIjdA4twa3RZ7kOD6HHJO2wdGl7olVG3Vn796vPMjPVwnpkcEW5bjW1SEHYSG9osyLt8GEyo/DRPtFk69slXbneZQnYNPQqLPqle2B9qzxpVGWbgagxkAoTgbDWjjj4moEHQzkkyBwRn1eEx3MLvBECysOCmqKpbQeEvWL+tEGDYP/6QFl/u55q1VEEtD6zUCr+7PRP8Kdv/9fAPCHrjv/8r/6PvA4XlfLELcaW4EKVFOrXvV0+JmjPZDh4gpsi9Djb9wqwVSIJKUBK6AGg2dvYEwTghmZ0Yxv+skTUqSHlwMOyzqOCX6XN5wBsXlRglpHvBbmaUqBXRJVJp0bhQHBHJ4s05LDOiWjRU4ZcVgb6rS9tWKsKSOXhocEot7GrpVK0BhznUwQloIlQNVVxoAXgdekHmSgr3OXO7NzuUyJ7OOoUkWMk2+MaEKNAz1xAJqbBaIikpPpM2rJEUuZtXmi1fTOOO6KqpgcPniyrjVtyYTFLsqNANXAfboBcs62J9bJOERo9iRIWBmwNy0zKZrxmxPNmTIfECGkKUAiF2oolvNkRL7Rn8Genf4I/ufuPISEg1w3/+e/+T7afN+D+CJ0SfXbO9r4Tn9GcUI8T4mWDns9sUzksGJXFNUVgmdHmpgMUnko8I1ynwJHufLK2AivoVCsQSFDoSnp8PgryMfb+fhsZAxidf+mIwijE04JlE3mKxYRtMPSzmS9n9d3Gvl2rUSqNKjtF1MC+cg1Uai/HCeUQEdfaaIZOyWfiTuGs8LwCIUAOiai2PWsVoZKx9Y9xFqglVeZHdQI2o2iy34xoScjc19tb6486FkhSpCUjTQXX5wW7TAgr7ytuQH4WhD0gbrX1UXofnRprjkhFhRqdvykAR0FexCedkX5bSFOO14z9YUY5BqQzIC9ci3pM7ZyWqpC1IJwNKvQ+V7E1i0TDWgvPiARHgaapsUZgbUByVZRDhAS77s2pomj29Wdf/m/oz9cNOa/NziG2x44L0drTDCkV8cXPYybTXqCrRlOGAtM5Qy61+eg6BeR7Y6BdCsKakS6xoRqO0rfAexG2CwVLxGYiQ1KB068Uh9/W/pkuQAc7ryILG9evCtlYh0L3eo1kqBSOOkMA5M2OugfE80SBGC+aWv2LdGVjyxidcLrUJpLEs0aRXnbIZUd+f8R+b+eWFT99Pqu3bcTdWGpVMT0XhDkgboJ0ZdtMPlrSasm9mLYH6OI6gmhiO5IFuij0lBGmijcPF0yp4LonlBKwiyJHRU4R01MyahovqZgGSTqzDQUVmIwhlK7s/dvuA/IdkzNZYcUTW5udyVuLWyxu2B6CJfO83v3EosryqWL+uLUYrkwB5Y6jxaZno/TvFXEtJnyW4K0AdfZ1FORTxPYwsJfErudq/ZFHfi1upkZbK37x5/87/OLv/W8RtoqcV/wX//z/AAB4+BtFOFqR5erjexTTE/3y+euJc1iXHru0onkRIqWHinKfURebz7qhFQrLSVHvifjhkYXo65e0tctXFeV9RnhMWL4VYBfz7cD2rmJ7D6QXgkgaFdOXF8xzxsvfPGD+GLD+NOOrrz7h8XDAemERYPnqjA8PL3i8HHA5L/RbU4XuAfExIl2FqrvBkiWLd13NuxwryhFEaC8sdB9/SyZWumgTYEMF9FBx/KMX1Cqo377F/Fxx/RBx+VlhzHxlwXv74w1l4ddUAf1+xulXLPw8/WlFvS84/vWEwzc8x+LbHfOy4+3dBUEUvz7/BPEbYH8LvH17xsNhxZ+8+Q6TVPw/tr+H/WUGtoBwYSHn8B3tdH9jbTJLxfUnaMVMLw5LtpgksK+5FWuytAK8+yWPW4S3gbgKylWa3g4ZA4w/4lWQnoE3f1nx/r/5FkgR+4cTyhKwvk823s6qtC0m8OTWirFJkZPg6eRtE27LPK+2dxX3f+8RqoLn706Qa8TdLwPufkXaeZmE4m1/h9ffOcldlgXLsvz4N3MBUOhD7fBDtCpoKb23LACo8jnC431OFQhjQJwiFZaHCjJ/3v4ymhpAI3VlRYDJZjnGhuI22q+qiZP0oEqKsCrTVGSFjdBKXr9TjtoIB9tAUoEKF+uxipUFSGGv7XNbsrcX9gEkKsqFVgCokFo73cuEcdq4IafUCuCjdWgU1n86WZUl9uTWgzsx1KvOSqqPH4pjUmSJwX5P9be4oaEk3t81qup6RZP3Zn8blcfVXHtltxcfGsXWEzaj5vpYCAZ2FKRoaIcnRbkyiXR0a5mgjn6Jfc2TzEF8oSGO1uPnVFZPFJ2O51XrOM1MzGoAxpETqmhjsoy6ebOQjqLZ5zeb9t8dUB4fsQOgI8MmeEVUT1FRISXybVvfHBrlyXsV24GE3ifb0WoLIO3XpZrNiO29SkfXaMlDIUc8yA79TxNL8b1YOx2T99WLWg3J8vuvZmiv9rJ4/ycM3Ym0ff7aUDTwQonZEJ+t2bYlNv44NIFFqqgIc0EICjFHv2eHogTe/+j/bK+heODtDk1ApjpS4Tbt62yHiyPuHryLIbIVNpbEP7fbgRRXXx7sxGydBxCDxhv7NtsnMhraM2b7iH+2JdomBCPia6ik52GCSGi2xY/1z7CFSZY8+/P0AuR4rabUfLMHghnV63vCYG+vX+ZjA0yoZrDN5oMqWnFnnMHs7ShNLMRor5K9aCLN17/+TPbO2a34KJdVIOrnVuhr335PW5IXdvaeQwSYoj/+vp88YYLZexQogiUcFDvzftqWgNSbx8LLtL3ndLeyWFHWaXqBm0SESqShDntmsMuG5A2HABXtWRwJe21quJzrbi0Eyv/3+wqFxVgxZkIbGxHQ/aMj/CKQUOD93RwJRFRfFBy9JLg9mETanrnp/wb3pdO/ue+kIV0wmnfIVNQFpkZHvnmZyn0rJCmLblJ5HkMFARmokXGNu/qNrQTtGgWAOiLvzAu0kVGeQPiM2WBnnTOm3Ae5vddkZ2BWaAZCFlQ468WC0pXxSjV1fCYk9l6ZP6R7RNPLmPqeC4Nt1RlDEZmfpSmQXaeAQlA0QSauUTrXxjLwvlTZ2ScfZyI/7JnWzsxA36Px2tua2mgjZ19YciJVbOyawEcjiQASFFMqmGNBqSaqNRVUFZRMpoSUgYVUFenMhEwDBco8efVWCN9cntyG4vvPY0HzNZFtGsGECPnA+Fdctf1/12PhOrSWgMCiRdCAanHdjZ0LjL4cbGKEHUMWywUXcYM0JNeBm7gq5tUecgBa/xbYFzsrC1bsCzV2R6W9snhIG/ERPlJ9D5s/WQPkKZpP5GfnU4/rUMTaTezY8i4vASQxKfF1jqtALTnx99reWmxaAtbrhPQcMD1SH+HpsiDvphIMoFbBeZ2xXieUq9l3oX9vbMoje9NlF4SrPWRfk9pZgnXm18tRWhwthlLHc0AtgufpCFTBG2N6hZ3UawAGAgH1GNmhsgdgF8Q1oBwH+/Izx2Ifj2/WnRtBg7LFIlEM6poTnvcFKXAsHQQE4E4Eg7a30hJUbJwzLcaWiFd+ryYAJor18nyArqFPj/HravFiZwt5PFUO2uIjR3OD+RIXndUI7D+5B6Jgv0soS8D1Q6BSfEAT9lTf53r7uRw3amtYhEfDajnIJeDl6cAfXyPEgRjB52fxv+X1hwtPiRC1uV45WzQfPuvJ1Zt+1ApxFMwu1oWoJAjwzKCi3h+ghxl1ITInlft9fBUTnJouHN2jEVgfYquu5aXfnih7UVTYi+vO3Tfk9BhMmMl6mmymVVgxVD3p4LYHabxxpzrKmYfY9FwxfeKbqgj7THbw4DyvkG1HfXeP8nYBroKYC7BnyJXiPUGT5QOCYChqnmNTVYxGL0or6ZjbyrEE63tL8ANaok/REaH4yn1BuMt4+3BBVcHlMqPWwJhCgZoqLncB8TkinQNSdTU+ijZIZoKbXjJEFeXA8T0eaIZdMe8UDlrfEJmZnyqWjzvyMWF9x0p33GqrFmlwFCb0wFxZgY/PK1qfqwWTCMD+9mC/ExHuJiIva+7UC+/19aD1QIqZZCCagIOPaDr8AEAUeahi6t0Rsu7QywU6NCjpurexP42BAPRk4CbpNWbCs3HoXXCpMpkFADlf4Uk+ACJemyKoIg29YdBgvXROsefPUxBDjG6mA60OjT5VZtxIuwN+yAh0sx7tpLgZvwM6HwW4H8UDawvMBgVvn1ns9ENnJSBF6DIzUMxERFtisiRojHDhGYC9eRJCowi3JFzQZvKFwn7d1sdtvYh15gGBpNZPTHpVPGWEWPBwd8XkQyEBfF/vkJ9SD2qsJ8ki7B8JshnceCAYskKMAh/20AoJTeFQ0YoQSAA0IKKiioAe3dauKYWXJkoHoCFVOrHAF7aMcClMjCYG6mSBMIiq93NfX6c0iwJzarYSV2Xdxns890I7DArV2xFCWCY+TxdHOh3sethaIrlCys7ZoWLBsIsNLh59mTHdVNL47z6/tye8LVg0YayaxAoo3RbSyj4vDwipDxDa/nH79mQxbmLqq8FQe0G6SPM9QE8oOT6I13F9b9SyMyBXNSpqvLkH78eLLyvwwvWUy0oE+/7I4sRm9j5FlLvJAtLhGafu7zR0urXbZZ3QmAmtf9wR6qCQg41xeLc1sBoAggdzhRTVuJKCGqw30dtJ4tUp1EzIKK5VrRBrvWvuO008q9yZZobbN4By5FifkJW+3VtvfO+QV0qUttSWWOY3B7D3tbQ52/6s3T6cwunv08UJXQOiI+9i9HcK7dF3pOcN+vGRYoKnIzQ5J5Nnc1lIkWaLS4AE31vSdDQ8n0OKqHcs8oeXld+zAqW8OWF/YIJR5wBNEyQrpscN5ZiQDzw30qW2ByWWwMWr+X9DMTQC271gfgamp4KwE2Urs2C/Y2AeMrB8z/vf7ywRjD3Z9QTahZ3YllVbgC8qEBOa2d688l0RSGvo/lo4slGjYPkh4/CrJ2iM2N8foAEN5ZVs44WiIN/x+YfcC3c1ce8dfqiMWx5s3Jez6RYLrIHWq+jKsvQRiiCKu3nD3bRhSRPWnJBrwDZHPIcF+30y0R8WeZfvKd4F8XNTTEQTJtTFAqX7jumsNpeYD709k2A97wGYd+tf91anChx+KI3Ft71LnV5uMY0o2C4VBLUo5NWMe0f762LtMsJrcTGrGqmNkq6MVcLeGQJSFYfvM9JvPwHzhHqcEIbi/PkfXVF/e8DxG8H6Dli/rIgXQfkr9kpefiLId4r5E9fLk57qxamkWH4dcfc3pJjmO8YV2zsqNksB0hNju/2OrT/Ti40DVCDNBftEZkHYgel7mKAkn8PjnwnqP3pGqIL9eUa9Brz7G+DutwVSI56Xe+hcMb27IgTFviZ8PN9BzgnpJbTErrFxBNCvV/zjv/cr/H9/+xXCf/dAOvzM+0kXFj3Wd8D6NR98WSispYlrnp6B4+/og/TXC0hlpzL09KK4/ys0gE0TIBqRjwHLY8D0SIbN5evaktxwpo8l24gFd1XB49MJNQsQFeuXBZgrLpcZ+x7xt3iHGCpyDpBUkU4Zx8OOUgOuX878vecJ4SUibjzfwkodHQ3A+eeKfF8RVkH46wNCJD0YoWsPeWyX7xTrF0RZ5cOGmAr2jwekx4iwWwuDommfpBfGFNu94Jt/coIXFGsSPP4HFfLFFeFvD7j/a67Rft/PW9NltX9YYasKdROyIJ4F0zMQd8F+PbaAymP6FqsPccO/7fWHJ7n+cipnpTNtLw/+g1VJARtp0H+m9ZpWBbT2q2rBkv3lv6I90G0oq1XHWmU8dIRxFDjg+w7vBXQeu9EjAeW/rYrq/TDt98Y/w/W9fnWUalwjc/ytqjEEfBUMWJP2aiKGDazj+/JGgjV7+yHl93dzrwFEtawSWrzHVrT1NgAVVbkJG3r32XqDz9GvowKq7ln887WJY4VsVM2pQgp3fBsNMry8MuNoGCyIRERHQAqfq0cdqh3h1hKsX1T48/acmqBMC2otarYKqM+hlEnw2YZxZK39+7UR/Vteo6Ly+OZjFUq9oiy3v1eMqldIs4XbpEhL3rlurz5TuJaN4tTsxS5fwSQo8pclOPjiCBn6wr2289/nUH4kkQEA75G9+bq8WodXEvBOa4QIFP6shmfm+2C89/Zvrk8LiEJFShVzKpgCbbt92uvH8toXtIzh1T3Y7wYb5yDRrs3/Ht7Le4udnQDRxupovS+/x2+0+xNfJ/492ono8DURyP777dPHZrTfH39UAv+0Hw7ddmMAYuxJqUgr0hAqpBCVi7C10Vn+rB0FHT7X11ehA2rZ7c/ZBvHmfFA4aqSOqtsaubn6udnsxBkOGUSt9x60NhTrlQ9v/ZLR1jX4XvCHqjfPrPWMZhYNRMTEFIOdg6AIk9nz791C4x5zXzsgDi3R9XsL9s/EwB/e1Obv55Rnf29FR23bGdb9RLu3hhbx58X7sX0UmLWZuDLvWJik7zaRuH6otMCT92kMkxA6O8k/e7jP0c7VfZoXA8OPr2J79qZdoQDPEK0sxLz6+WA90S2LHZI6+cxHsz/3xq6HoqYUJvhNHVv7PbVnNvz/yGh6Pf9bBWRkefFMbhk7rS3CzEuq/Y6xv5ooZe09uB35M9/q7Udu844qD3ujoSWCltCxxxw3aIMKIE7r9n2V/Fy+PYP8PnVYh+YjB5GdZu+wz7J2kxAr5lAwh4xVEoKxFkQY2+S2bv19Qjaf1Jh72tuwDGFqz8CeR01D/DC8mou3YkSjxpideMx5G3OYDbnvsPXU4Zxx1lVNXROirVcxgoaf3xa7iAIVveVAdk4xoDLjq+sOxl6cgLowFnO0vq15IXDiP9dYJTZKponNWRwsFkuIs8GGV9dcERSL++qkQBVMFnexPYzIu1ZhG+IuTMpMEX6Me1uIvEeil5sMn4NWoKmJ53IYgn62LvD/m6iYx1HuJD3McKaEC3KZjdTIggOEaL+qshBQrVClQLB+3qJ2v4GFJhe69Ba5eeaHX1feC0SBxLg/2IPfc0SWgH1L0GtECQqAM3DTlFFDwB4SyE8AalT6RrcV82tSWNwti3JWvBUuGpJavYgP6KSY54x5zthxsOeLVgRr6+X/mwzsq4DuppkyV0xT4Xx1LwT4ufpjm2mI6bg/bX3tuUJ4drsd6Oh7bsk9v/f1hye5qsCUIJG6/WIHfqi8SQCkLkf2HGpGC/T0YKqUxQIF7+Ey9A47q7zRKlatH2evEPP2TTHsGFoPC5Vg0ZwC7P+dLuTqanlCQyvDDlZwNwCQthk4joI7oE7SnKCPDJmfegO/Hlj1LMuC6alg/u7caakAxTNMpGX6dCXgdzpYhd2dm9ouUfg4R1FFjFR1LEMlgwiANPpap+TRGPYH48BPCuSAWgWlCnKJKHtEzQHTcceyZFwuM3ARsOEeKEpVOdlJBY9rRZ0Czj9lNXv5ISNeM0IJKFPAOPh8eq6YBAgre+5ccKHOgsuHiJpYqUymkh2sgbxC+mEAEAU5WF/rcCAAtwHX/ma+Sfh8piCb5yt6UCxIa+3iMlYgyIsd+ruJouVORWsvCRBX4QTQxgjtxr1J6aYvESNdt/Xxhtugf9xG/vMxGMoJ9vAoGv04OIVM0EbchGyBqVd21Sji1edcKofPGyIq6tQo2kgaEkin35RjDxZ6YsY1J42urx+p4uaol9QPPP+7odvDvwNQY4ROM6DaqP0UYjPFSgRD8HnPceO9ORKvwdCpYoiuo6om6HB3WjGlgiUWiCj2nFBqQK3eL2JIt3AkwGfPQ7w/sLcRqFMWW7Brz0ZtHqupWWsg0t6d9pjEdWV1AM2n3RRznKYZA8pdgD4YAjUGRR4smW90Ib52dkQ/eE0VNgrkFPvBkBJnuKZ0S4udJuCFTAa5v4feHXmtezZErye5MvP56c4xLDgdyHDIhYlvjKj3Rjm67pBq4zE82LYWg2mvQBRsbybUKJjOiuklc2/fhXbN1dAQZyfEjSdfnRhkxxWYH4kmlQPtN65W7Byo5G7neiQTwCM9DyChRGXaiCMlhTdc924bKQCOiBt7ASIcSWN7XkqFVh+5Jq1/MdgIIgmCGvpzDxCkay/WSrHg1xV4P9Gmtnes0iMqSqFgVEq9DaVWgaSKcl/pt9QRbLE+tYBNpk79rtrm+RKF7ciziqDcJ56tU9dHaMGx9+NPREbjlewEKBAu1o8dQ2dmGBoar7ndd7OnVrBlVCW5IihQoqAkVo3qSOHflCKDE68tn4yNFe0cSWbfgUUHGQqV6dOKeDAhtKyIsKwxGLp9moHC8VpaFLpE5DemhH8/w9WWZScTY/nVY1s/hID8sGB/M0GqYn7M9LnzIJi5q2/5AaF3Z0smWplTSz5CZjuR0wXjVZHvBOtMgaqw2tk9UXeBCUIY1rgDAjUB+wOTlOnMvw8/VMzP1eba2zMdEkP/9/WP7uHILASoywHe8uK+qQl9souNtrBb8dwS5iY0k4jg3ow/tGJUnhV42DHNGQ93VxymjC8OL1hixtN+wDUn5BKw5YRaBTpXVA1Gu+9xEBRI5wJv5+A5GJARMBVF3B0Q8ThDWneNI6s+PouoLH1XmfizeaFmy3SumF6MrWHPsc4WEz0WxGtGvp+w3w2RuliP9vAl9n8DqMDypEY1FlzfhWYfPKels4ba+0mPuwHc/7cH4J0LlSnntpqYImATNJ4Fyw+K47cF69uIl58FlANIa/6B6PjLz21U54lo7Zv/CZifgec/Fly+MkT3QsqsmKjX/FGw1wNwVKx/vEMuEdOZCPL6nnaSzsD8X90ZZdZs/x54ThGXrxXpywtqidg+LpAcMH0K7Bc9mMhT7AhsfluowfE447/97/6M5+XXVEl++AtgeuF4sXLgWbH8NiHswOE7xjT5yFGNfk5oAnYbzZbtrJieBdOzNHRfKnD8rWJ+Vly+FKwfjJFgGiHe9yuVCG9+U/Eff/UbfFqP+J//xzdYvhecf1qhX2yYjzu+fPMCBfB4OWBdE6a/OOD4G8H6YcLT1zN0UoS7nXXpqbLj7EGBVCHPCXGPRLcvAikcG0QmD/tr81Fx+AdP+PL+BX/1L3+K6Ve0UYqwRWzHGTlHzN9GnH5Nu7l+xZi8MaGSKTT7Hp5s/FRUxOeIfTshAHj+BVFjah4NJroJ4ouNzzK2ST6xgO1xZZkF159lyBbw5l8FzE+K/STY3lgBTYAyjiD7N7z+nSC5VJwMrPxWJhWsLAn7F20eptN3e09VMAqe/U4p1t8LNMGqXFl1rYBXn6WCqrTCAczVVGRbFc8WgUGf1zrQkt4bRMirfq23Ea3yEzcgC7DPgIKU0bGPg72x/GediAyURQAJiNfaFKJbb5JRoyRXyu4bLVGBgb7Je6cjZv9LEGFAZHNaWyXeaDUt8SueyPD26qyoS23X6xWzqgItgZS2oJhiwSpUKvSKU/AqpwWHHLvD2W6iiuUjOONQ+B4VaIG69+1KHb62VWiInKt2kCZSoWYPP1Y59TXDkCfdollMCJx25MmaeqBT+s/54RA2vRleXxHaekEB5Ax9PTfUX670bD20qJXqs2oU/LGw4/vCP79UFnlSvE36xp5e7xtzpL54pdptlEmmiqAg0Kwq32PsU/B+u2CVMI3KwFdZFXYb1uJJmP1bgGGrtDXzL3S0V/sfgBU7AIgRIrTjsd/vs0QX6BTBqmwjNSTJGRmIPekQS1IcQXDaTMjmFnaidVXMUQ69W2N/by6BiLajJskua/SVzrywtXCBuACgSrAgzBCuGhoq0PqEzfZakWBAcpstmLJ6U1MHLBlBtz1LAllZD1Y55/fqFNqh4X16RAuHlxXHfIapFgrneDDlCS5nQwwnUIqAbtBt5/4Kob1PK+w4yptiT2jFfZP0Ima0oL8CUlcWML3YKaTbC0D2TBBISVbQqEjPOzQG1DR1XQVLcFuis9HOvJ9fTFRKkrae0o7wdTsefX9T6Y4g3d2+7xT9sHv0ftsHrRBTIh72L8AiL8A1KRVIEbJbMuUPrZCiP6KcjTqdARVFSFTwrgBgSa6jEbRd+jStMoDmFaUEqIqJrNVG02yslsCgWCywCbtdAg2cvWk2Eiwaal/m0PoLX1fPGwJpSBTVNAWuNeHovauE6yT0v+vt2dj8ibPA/JnZfvB90gQnV20JstsFlWil7V2iorE9Pwx+Xa471U0TuB8Hxj5p3BESKq8nkIJdlniDasQ1IK4B4bwjPJ35GceFhZ6Hpc1jjRc2mrf9Z760qYpakXxkqejEWCJuFAtqSIYXzvaexKkxSaSAiOVrhozbvYHXTL6U+ieVCej0olh+2BtqrgEsDsj4jElF9ufT1j5YjGC6Ae1ZxV7cc12AOj4jsyc15NRv3hkdGhXTVLAsGQ/LhkPacYw7kh1YpQpyDbT56vbJC3OFZxfMDDamsCXsJfAsrcaGc9sWaUwK3t+Px4xOF276LMqCgbfcABjo+qAA3ZopPheH+7X4xVsVvAhRZl43fVrFfoqtdcfRe1db74Wnz4P+u99WXE6kEmsAgRBnYYj1E1cm6OmSsd8zwS2LTR2o1jJ3x8+rBzIljj9UHH9zxfX9qdlIQ0ltz3PiCWnnh4cVa5xQbT8Wm5V6+Ebw8MuCvAhefs4k02c251PFw2HH5QrU64J4ZYLp/aDlSF9ZhTYU7lkQ2X5zwuGbiP1Okb/cUWyvLk8FZYlsWS9MesPGcUhxV2xbaMXRaiBCnblX8rsCOWbsYWaRIHLebcikMB+/zVjfThSCnXoQFXb6AH9eOlf8/PgJVQXphcWF6xeCGoiivjtcsJaEjy9HlByxPArufsvgJ58C6qIoS0BILHJCKsJSMC8Z1yqoKXK07s49FP2Z2JkWEnB/WPGL+x/wl+lrxJXfq1Ggosg7Z+guZ8H8xOJKOVWLe6hR1HIwuF+gvbCnn4BEOSjHRQk4SgigVoDSpnhdLHK0dcZw/iZA7jI0sBd8eqkEMg3ggGAYCPdvfv3BSa6UAphYj6uiNrVZAJgSNAbINsSSfri1gNMOfYC9X+29zTG50u4rymP0Hr4rMAXr+3iIn817JS1VGt3ARZDShSMjauLYFAAmIT6IPBRwiLJVLTBUHN1ZhQxM2y1ac6OQO/XkxUVb1NAbNRRUa+hIjNGUSOmy+32VvPs8z3TmRvX5iaGg0QziRSDZo1pFkYSXeUYIiuWOEVMIFVtOyGtCfOEsyck49/MzxaSiKS5CgMNHS1otSGEfF3uYnf5bFs4vrqeAGlNzGjXZHEsfhQFXzWW2EXcGG+WY4GNlPJFl324vMpSZvbweXHn/y0gV4ueRvhPMltgrKTdIrlMEEQRYZiYiObWDjjc8/P8QMImNCYKPBPI+1Nj7mnqGrk1tttmGv6/THj35AIiI5Nr6xvh7r/6ojTIQaT2Xngh3NT1HveyjRG4DC7Mv3zfxIszn9+FwH4JkF0MjCsJerEbJsvfS6qi8fc0R8KIQLQg+NxN2SJth+3uIGiW4aCuMhSLQTZEsWMoHXlMockObL5eI7z/dIcaKw7IjiOK6TRSweJkwbSZusPaD2UdfAPZZ19ISKESb0SxuX9ZfZWtQfUzTRB/j9g6BjRiD0R2BWqioK8Xs4zXd29fPnq+058kgGQJz9I6IeFDWDwi/B6kAEpAPse8dLyi4zXlh0l/bDiwzwvt3TNDWjcnKnrv/dRqzFzf9d/fMJK/SxwkAWVO3dwtw2pxbK8JgTlCAasna/bqje8HsgUUoaSrTVGTuyD5gvl4F6az9wBkS3TrR12tyP0qbacJhg3pzY5gkQ4Zc+TpY0TYFQCZjUXjxy2zYJgvoPLUxOsHFqVJAldB9jz83teBa+jkSsgArLKjqATYFtbQ9xn2PACLqFqFZgBwgK9U4g/nVuNKf93m3imh2XmNoZ5ufQdWp1l60GdSC22xqjzTc7x4DoBPCXjHZedfo31V7r7L36s6xFzJ9f8VX/jwOSJfyw8qh99c6q8mRfU8EvNeXD1Extg7V+wU4WmySqaqsUVAP9OfxsrM32eIArV0Juo28W1ioS0EQzsfGXmiJkvWkerLTRQC1F6StqEeRlsFHR2mTEbwPzYWbHE2RCizfh8ZqCZkiPnUBUKUVRVw5O1nfnq+ZFKoMR5vGsJ/SIPoIwIWyLEFk4Ti09W7UaHsvcR2PkeUS/Fla4rLwexw5YyMeZzo63XtiWZNCdvZpQhS4A4oG/PryBlUFHy9HXLcJ18uM+jxBdsH0EjiT9eLFImnaFWVhsY6xjA7Fx24iLWmduoBp/x7/LnlQnDX/7ON4yhxQ34vtK/owZyltbyfg3QQVafe93fUROiGzSFMnWKGPyWdN1B7g5+DV+d59XH24Y/EwyE1n1fRcUD5Z/HsE8j2Lj9cvmAR5rJjvIraHA8rCZ+N9vxD2fy8fFfud4PoT2l8+CNYPCyCmkPwI3P+Sfn+/C90/KOOJ63dHxJeA+ZEx9/MfK7afFIqOBo5L2t7xucyfiLSmi+D56YD6MuH0m8Beahv7CRWEK6A+WzYp5qlgmgrW+4K18jrT9xw99PjnwFONjV7t47o0Auef8uGWucdAXihLF0CvLBAXJKQr92qNgBhJZ33HYiyZFlRnjmc+mHJU5BNR5nC3Y0oV/5e//gfYtoT9y8pxjbNCP814LgG/joVh6JSRYsXT/1Lw/OecdCCZBQdcI6pEYK6QyN8tjwfMVvQqdpaJsU7rvccRpFb/5tfv8fH5BNmFdlBMdEwF+zU0tf8a+fX5u9iKRwDjprgSFd/f0vbjmYXUfLQ5wJVorQZAvR3Q3qLcV5T3FQiKkCpqDojfT4hXMrCuXwr2eyt4BuDyNUXI4gbMn3Tw9/g7vf5wJLcUYBZDBBhsSi7QdQO0QnSBWMVft50IwmFpQX7rLzV0pAn6eCJRhsPJnAp/DzYmo1r/YkWdEyAznU3iQSFGr6xJkQ/dqUBJmY2rDUKf6IznJ35tP5EOcjM0fAHKZP1S2h2fVNJxqaYoLYkGGPy4AqpsmYe+H5w2dukm0bF70yBNVn6cX8XigHJOlEVnnH8bUA7SDLYWzvKtk70h2AuVDxPCXPDh7QvmWPB4XbAZ7z+9UFY9vZBKPL1UpAsl76VUhKtiNqdNSpoFgyZ0QGptQD5E1Fmw3QfK64ceIJUFLVmCkiqx37FvYXmsiEVRDgwewk6qqEpHocRUVstBbkYCqQX/LgbhvQQamewtnyrVn+1ngqEYaogh1eqEs21VG8XNXzLOxfXEIATaqwgRWhHIrv1nPDFqe6X2RMH7HMNQAPF5nOKFBKP0TbEpUNc5Dn0/NkqjKPssnHaZQQTY0dsCiAc3av9xk4swZcuBsvWqRHZDZw2ssDvKGIug9R/+2Kv1gQUrGimDp8h922a82nUzV+3BvxepvM+bCpCOGKAVosT6lqECvAQUzChRUe4Dgij2a2oy/MEU/MJqVPzNEhpLFCUrx7wox8S0AoO/vAiVrMgyzCN2dd5ejAGgQva6hoY+cdRJbfTkhsMamuCoKMA1a+OVhpYM0tj5/iw0oCW7VAo1JGNkP/hzEun2Pdp5ztDDPXAKTFovq9mzGcUyM8FN0VDf3q8ol5VUf7f5GRQVbEyWTvVvBaBobB4I2x82ubG3UPSW7V6VglJRbATQsN5qB3ZRRJ8V3nw0v7fdcxSVJvv5JjyG/lxcTNCVyJ1S7q00pgysKQCTFTpSsDOJ859REqmutnfpP7mf62lmAhm73+8+yP7f9SaKIqj10z1YxTyA47dcFbcKNAdoFeAaENZgQY7Ngt5ZQExrRbz2xQxbRTxzocqbGXUJLVlRsG2gI3vS/ESZpPnxtmcc7QuARhdDKexft+cv1fa8J85BUE7JkCxptEv35/lgPsbEFruGgbcn9f0rFe3vNn99VLcfC24wQcIlkh6/F4pCTomjuEQg605xwCkB89QTilZcBIWCkkAlIT4vpC4PBaRQvBgTbtDLPr9Sbaa9tjPef879iaszu292JV9nKi0/uN1borUI9geLA2wPlApIAOKFQSJ9CM+FdEGLW/IpIF0rPwM9QQubCZLNsa1/XViJ6yrE9ny8eGtJrr/8fHY0cn5yiqggHBhg+z7cH5iIhV2gNSIvCSJUnv10PSCXgMs6s2j5PGH6nvaWjHqdLtrOMEd+OI1AsRSQtu7P0a6tF3Bh0ypexxb27GzcoE+5kJ1JbiiK7S6g3Aeki4uhEcFVEVzeJewnwfxcMT9ylFw58OxlUq7Qg6AceTZNL9YGN6GJjnoy7fOt4+Y2JShvFrQC5uDvp+cMfbT2PhWUIxOf7YtCX7NT1HW/CtZ3ph5syXQ+8WeP31W8+5cvuH55QJ1Y1KMgFou/6UzK75t/+Qk6RXz6B/ds1zG/EC+C+dvIv58ZJ5eT4OGnT3haTtA4Q4OiHmlL82Pkvj4L8uOM6VPA3a+4xi8/5xgqJv0ckahzgVgv6JwylvsVW6rQTxNOvwwoC7D/R2c83F3x8XcPSD8koxEz/rl+yba+EUSCstVl+h3XPp8EKqEJPMHmuEM4C3e/59pCGFcsP9Bfnv+II4Q+/PQT/uEXv8N//+3XePwf39OWvl4R54zyuxOmjwF7mfBpPmGaCj48vOA07fhPfvbX+Hp5xH/17Z/iL/7nr1nkNcXomqh3Ez8FvPnXZEhefwLUqEhnGzNngm5hc/AKmH4zYf8+QSKwflEbBZvPKqC46GOkb2gidw88n+LKecv7nSC/zZBrxPI9baccgDIrRzStQ8E/gHFjAMKHDV9/8Qlvlyv+wZvf4dv1Hv/Ff/sPkJ4T8oGCZjqTZQFRXL8qCJvg7m8CTt95kVRRtt8XdN6+/vAk19GIWvn/IQBBiXB5IgAwyTssFtSyb8XHwTT0F4YO6UBnAvqm9SRwqGBpEI5t8DEA1akqYP+vIQChSFMk9j4L72sD6BiBXu1mAKkQExhQC7LFKL0eUPGCfnxpGo3EhDb8ACBKRUrZZ2ImPh5kigOq629Io2sIEzxJsUPtevv5Urh01XuPIxqV6fmyQESxrROqSbB7UgSgVUGpTqQIl2xjZRx9C3DFYE9u6xxQY0C1vsk6VP4dQa8z15G0lN7Hy3Xp68bKfSBdFObY1Su99n4DXcjfvyON6IlSUSJs3g8UaRu8T3QkKADeS8ce8Z7taS6ddmHPFEAT4hGgB/dOOx4T3IGWCv/Z8c8rCvONSTn1DwGhUJmPXQFOa+/oBdeRMjeeILaq9Y+81Jimmjrt00dRNVGHap/hCedOlIIHuVMSvfpk9xJscduYEAWsL7D3n1YoQkP02P/rBSBDAIbkA9rFH7z63eiTAugB7EmzgITBqKWPlFYf2BaeyNg60G11dNXEQQD0hMxuqSG5lnhyHrFRac0WvSJcd6OdKXu4jIltN+XXpS1IvHkJA2Sn4+cldCpV7HuoIX7an1cMgO59T/EepRcIar0V2BlsrfvdAD1wfiiuVqAZ7F1HmmlDeZ05Yu9t7Ss3r4pW5GkJsiUmI5PFCw4j/dLZLaTjs6iqo4+EJ11+GHqC0Hu708WeTxiCGnjw6n+6X24+bErtXp26zH/Hm+CeNqy07ebz8VkhSIfviY3QUWOPRC+YCoMDZz61loHKs0h9PIXNtBSrwnuCG1e0pL3RXcf1SWQY8Mysbf35TdycbSws0I6LIXIuHNZHr1gG+CN2pV7cAxgrWMEWkM4OGZKNfJTWq5qgjd2k7utbcsLPbP7LRgXqFEnJBVikGYo5IXNWcCtfWQHGC4sAyCrzcXFFkc6Fe37uvcmtaGS9xD7Wzv2Dn0HeCtIoxkGaHx3R6n6m9X97TdIp1Tzztd+7L7fw/eOFc2mb2M7OEUR83rf2GDILIO09XvmL9nfkPPNyDDcIaCvQOyW4FWnQ7n08z3xGtQYil40OLehjtOzfdQbqUhFTRRBFqQGXbULOESWTlu+JVPN9FqdphI2B7N9v92dCYmXqLBgVGBun/+0xBe3V7QQoEa14JMWflZhd8fNqEtv6vdk2WHEun2y0pV0TFbJZtCsLrFXM+vLNHzhS3x80WmFvmowRWEF/OPQU+AzxfJSW8KgAsgmCUWaD9YyGYuuwoO0xCJkE29sZ+RTa524PvUUnelL8sKDOkcnPnfndAsbQCiCwyOgF6ct5gTwnzB95jm6p3vrxChuPY89UzQdacgk3wyLQLeB6nbDvEfuaoCvHL67viPLWLeIZ1Icox4pgLBe1Zwn1Z9dtSvJwNuzSWhPLES2OHK81XsC11P592nvED9894F/khPPLYsr62t1s0obgl6cJ9Rgwvyt4mK5Ya8Rv1zd42WYTAfNYHcBjgsZEBHTh54UNEJHm8/OJtPAYiYzj9fqa7ecTuv9YBds7xf7A+3b2h+xAMJGWslhS/Mz53DXBpn/Y/YD7GdVGO1nRFQLszwnfz3f4dD7it8/3WPcJUsV6800orgByJoKsx4JyBPK3szEz0MCCv8vr34nwlGSrXtuYIKex9b6cCj3MgFM7Hd2ZSFWieEOxnh2iA3LZSO18OLTePe+ZaiMHpkCOvx0SACv/sICJ3G47bGywNwTYHqI1+wty4O8cvucA9Hitg1AMf8bn3UmV1n9BWt0QAHlQ7S8BnMLde2nZg+b0bMUQQFuQH/YKuezQg0Lvk/WW0blIVkwvpVFYXODGofu4UeY8nyxQ2ujom3NbqDhbq+Dy7YlGZ6/4ElqADLgj42ecFJg/Kn2yJUwanYJXIFuBpoDrhxnVRtg48t3mLVoyur9R1KSI19BoUreUPVakyiSYLtVms7EvRQUoh9gq/x7ob2+YGPHCKXOfT6TopRexXmrpCV8gZWh64efv9x5cSBOe0n2H1oEPsa1QSRSfilakUYVuG5pwiwhwWKCnA1BMRG2g2GuKtz1iQE+I98yk2iiPzLgsICnakm81ZcTgBSK396xU5W7mp+0QbgvTAkILqltBA63yWhN4QAUeXumq7eDp9LaKdKWQBlkU9iGe+FvyQ6ovxagaTfs49z2+E9FTDW39NQkLJVMPfAEgnWmYNUXO9asmGCW9gFMjTGxH0WaHmln5LL0mzmbIT3DELwqglT1VqkR0rADVEHYA4sl3EtrpLNgebJTHEKB7ssv9ZEmPCOJOhgUwtERUbSOE4C0KwQ+fgPVNuHlPRyc49xAQmxEKC1RQiQ6k65D8iQeQQmRyXaEpfZ7otqKlUW0PCbJlhFyAfafI1A7INPXChtuzF76G12t6PpymHmJr4yDiVnj9SoFBnZP53mFvA6hqtmG+2u+NttH3hH+vUWX9emqFKItr+WjPXWC+11FcNfaAtvesc0A9zbT3zfa1UZJZ0OWz0xSoU2CjnG6DNkfOh3UT/jtevRjg3wstIapJUKraWjhNmT3BuhoFPFsAaKPv0lUwPXIPTxdto9sQAOTez1qXyLPsvENKRTlOyHeJx5mzrOw6fYxNmamqyXsCRKUpi4oqZEDSWoFLLfGbI5PirUC09h4sL3yaaBhH0dDm0xnQZ9gIEzvbrnxONUtrDSoBLSgHgMNpQogRmjOwblDt/jxcdkTJPJuroi4TpBSET2fu9+MCPS39MZWC6dszkAIuP7tjkFes6FwpgCWBhWxRRV04VqS1Sw2FhbIE5EUwKXB43FFTwPo+WQGhU7N7QQJARZvvWiaBmAJunbQlnSrc91K7CFuj31oxpCy4oeXHVZGutVGL4cUYR2CcFouAfIq4fEiQqg1VbJ97tjF/AEION+e698QyTuF+2u67im/IfPb5jusj1iZT31SEhx3H44YkFbtGnJ8X1C0SSAna/XlG61MmKwCYbA+3lg57BkRImfgFQ34hRMCzIZ2kWZqIUAWmJ0OqFtqhFDIBATS2WrrqcE4JMAF5KGT5CKDNZpI66+b8NceBSfE2KrNzZ3MoMD3bGJvp1d4rHPkUL91J5tSzr+1NwvV9wPbW5tG+z8AWMH8TkS6Cu18plseCfBDsRyan558akm5F4O2t4OkXs43d5P1vX5KafvqN4PgN98D55wfkg+D8taAcFdOTIL30c6cm4Pwzz+wU5fsFx19FvP0L0nY/HSicBtBXiNFrw25TP4yB5yOg1AVgL4H2ugWOhd4NxbyvSH/+jFIE9ZsjdJuAhwJ5v0FfDlg+1laMipNgehrQ8mqx0Eka2s5eU2B974UpbUXFkIHpUbE8Vmz3AeefcR/PHy2p//UClQXpnjRtTBWcZy7AXJHf8D6W30zY30a8/5Mz/vTuO/zLp6/x7fkO3328h6yh6QCFLJh+S3HRuhBNDoV24q14osDlKwBfrdifJkxPqRUb4OtUGDddf0L7m555P+UfvuAf/+Jv8S+//QrPf/kW8SI4fMM4oyzA/oafd/w1R5jme9pDuavQqQL3FTIXlJcJ8bcJYePvcp8mbOc7tl58ZzpNP6sUDquMZ8I1YHoSlJNi+Y+e8f50wS8fv8b0HBi7/4hY6O97/bsZIaRqCEEPzElf1n6gSw9YucJjAA80ddnXr6EK54dEq0JXUGAjDNLrtQfvjmj16/T3Qetr8K/7YdTUJpXoC0Vi/FrRVZudFuU0LUtSR4S39dTq8OGf3Z8l/AEMkgQE+14jgcOBAUdI45BcK/o129eMoWJrYdepQhR5lyZt7vfmg+nFPuvmsl8/G1+6MTlJaKiT0ymrDaF3GpBXe+psVKWinb7V+jotKZQhQFW7zeQI8HAdr+61JtJPglo1XGGVWWk/xx6agU4huEWm/v95Nepx+PHv/9j7/R5k9d/2c2KVaKdxyo+9tz1rH0HVf9m/6QesU2Vxg3D64dsQI/vdhnC1v1+tlSf0P3ZNjty15BwNoWsjaqJTI3//+rhtNiRo/LHBvSA6MgZWtn1ovAdEGR0Z8wLLzRraOlnCJ17ckcHmHXWJ0nqcvYjeRo5F8ACOsPf40duyNUJfo9CZB14V9uTWEY86MwjzUQ5CUJ33bb/n6+GVeQqzDRcRwmcIoyf19J/DszBb0df0zxHFH3729+6j8ef9VcEkUHkKq+9H4BY5GvzZ63d3KmV7pm4jzcmZD98Z9Dq13M+MUD63BxdaG9F8Xu+t3YuSRo30e/YkQNQauC0EaN+WCjsLfsxG2pnjzxD9bFTQthU3gbKP6fA1FPzIomkPiEbfz+t1324FJKNOUozFbmW3bW9+9ubaI8+aRqO8WYvPzxNvQfD9VK1HsWZYS5G1u/gZKxSxClYbbFRan+Ut0mn2QXAz2tAZBNkS7Th83+14bFHxZzxcsrNaPNEdWRNkV/hCvrpVK0Y1ZXxF8yVtDIo/a/flP2ZStg4+Osh1GKKjfq9s5uY9Xl+T0dQ/s3PY+4buD+XHrqcxqLpWQChcL5F+f3xGvd2ktRqEIdR4/fkq2GrEVjgRAlnINqrGPhsYaP2Gbt7g9mek2ymvQ7vis/9JLCCUmfGf2uAAsuIGJp30P63VZzgHPnuNZ4TFHmVRlFNl0rFbUmQOzsGWaiwh3xOAFTT9/YK35tXGJgB6bAOYL7NCb7SWncb+Mnp7MSQaAVTktSJwPjqz4PZeVfxss2uc0e0yD35oA1z3Q604ES7S2mo6Q1La2sDDUz9HYWehfT52tKKSVkA2j9PtnC+CagyupnOhaOyXph7u13sTy+DGIFtblwzngzHDYGvge6AXt+3nxhjc/2d0RVNpqVLJ0sRi1zrheVvwfF1QjFYuhaCNtJF4dLojSOTP2p9R3UPLYYAhFvBRShHQRakifzF18lhxiDtSLI0x4/Fgi3MUiGaDYoxAPoPAPe5MFvM9KoBOtOewmn35yK4AMiWzxSNBW5yjKthdWC4BtZitDff0b3r94UmuCClspQJxbiMxmtjG44VIjx0arIon0s3OG6v4IbSqqQszeQ+XqFV9cx/h4AhpqMpepGNqUu1O7xjpZn6AVmuA9n4JDdp6NgEPJAMksWJWJkETAbAH7c3YTchnOFw1EXGKKw/Wcpp52J13rkGrihtNL1qVNCjKklCWgJgC4hQbAooKTNcMydaXZ0kCA7SetHkm4tVRVqHokAFSmFAjmaHVKCrF50d6o3+vhrLPmA6IQgnmmVthwYxujqhzRDkG5AN7oUmdEGxvWJ3tB4cSaYuK61fA/kYwPVolULtTjNceIOwPlESfXjIUgvVNxPZGGupCCrfVU479IGDAwI1Sg2D34Nf+lAOHo/uLyAuIVAFGUxv4KPPSUVyAvYchcIwK0ATWqAKTO+V5SAbE0PweRA1J9TBjmih/MFEy4CZ5AJjkmo19FhTrINyDQU339wTeZZamJOiBUTBUkP1uaFTlEbm4SYz8oHTFi9a6YBcWAnSZ2t73+WkA+9HLQgRwnDPoL29NKIeODjjdtCy9B74FhmuAHgriUqgm/jzRvq883NMzRTT8UHeUwe1NE9snwmponRUD6hyhc0CdI+lmibTNmsSUIulPbkTvFKi7UI8GArgfsecUdlNgDwJdYkO6NAr70lsfLtjj/kAf5cFGvq8oDwWyBogGBg52GNVdEAZkX0NneNQlIsbYGQkjVJoiRQMvV+CwUOTJZ+O6qI61KTT7doRynvisvV8XwM1cXXXRowoNZu9iSNxgn5oCymlCa0mItJE6CcJGsSRea2j35ihU3CqclutFw5uAIiumM1WH1zdM2Kbnjso0il0FJCvSZW/92bdUbiFLwZ/1luEtOG1PDvTcOgVgPtzYRlPTF7SCaHGG0dJ7Mp2pEC0obaJEltRyzxrlcGeVn6JqJlx0IPJ3+FgRr9USwYCwVaTnDSjWf3tIjAc3Inv7PdHF9U1AnUlRzCcWVvJ9hVT677ALJ8UkDMwIIB8Te8bWSgE9a8XRyOfrz7UXdSyIMbRsv1d+1kkQ3gGu4ikVyGcxdU5BOYsJJvFn9pO0REbPF2BZIPd3EJ2A73l924cDDmtAuOy9bzoFBGF7w43oo8UjxZhnLhg2PWdM352bjxhf0w9XpGeejfkuNcQIoBjQstVuU9Jt2FsQphfF8lQby0YD45ExoHbGBsREyRLbrRqt2bZ2E5YZiyJmd2VmUDq91CZCRoOFCa/ZvgiCsFYcv7W9FW5jKtJiQ2O2kAnkysXBAmH2yo8JYFn4nMfEQG3Uq1RBvUac64Jf54CSI3CNkF1aYE+/zstsQqA7GmKrdsamtceD7M/lWmk0xpr/bkZT/i0Hhd5nQIHrIXaaqALlYpogQ1IRV1LaNQnygUlJWnlT+11oFGXvXVzf2dnx5Y7pfkMtEbUIdI0ITxE+6hJVIUf6kjITNQPs3ncWhVAV06cV8ZffQvJ1WF/GStMTE9v6aULYgeUHnoHbg+D6IWJ+VBw+VoQsTeDw+LuK6ax4+Trg+pPuRKUAd3/LOGF7C7z8scBZRJKB0++UCbS34j2zd7wsuAdLiAABAABJREFUoJLwJJierRizAde3AeXIDJStb/zZfFKUhwoE6s2gAvkeyAfF8oPg+L3SJ93RlufHQHbLxAKFfAqoT3ccqfWTFXEqqN8fkH69QDLw9Ce0nXTlte8PjAnDjiZq5And+l6RHwrm7yOOv+mJuAbSl/c3HOl1/oq+9/AdCyfnnwnv464Ah8q2ErPfOhPFvHu4YkkF98uKr09PqCp43hf8fz7+FH/77TuUx5ko7mYMjY+00/2eMXQ6A8v3ZB1lTnLF/MifOX4jiNeltXfVBJRThR4LZJ8QNo4VCu82qAJbnKn3cJnw//zVL3D+dMT0YmOQrBDAMWHmggxNP/7GC8fcS/t9xP6gnItsiszr1xX1UBGfA6bngDopnv/EKMrHAklsxVMFytsC/LRAFXj59oSXfIfpwh7sMIEtkdd/X0muv4YAoIlyALfBuf87CBQW3OyZ82NT6NV8VyY2NMADo6ZMbKiIx2Y+ImYc1QF0BwT04BCwYN2UddlCZL8PIcWxSqvIQNF6FRzJ5dxYS8Qt8PaATIpCbDC8TgHIgJTSknkAjabYXlVbQMuxJNpRWmWwFfaCGqIFUfysOuRg7eDx9xWrOE6s2IQiTPpWlkzFKv9eFQq7J5m9pybuaiN36oCocn281cSTcZfB1+RBGAOVctBWoUZUVmuiolqPbFj9jdAOfa84ssdREAyBECiKqeomyKC6bZUiS6RZBdSOCkI5umJIpJk4MBp2NAIAfByKxHBD5RRTlG0IlQf31l9OKnIAMqn3N72K9TbQv9kXIzvBGRF49foRdGccZ/IZoqmemN4mVUDfHmPwP/Z8O0MhQIbqvqNc2tZ6FMvh+473a3+3fezJaE9mAbdXp/Oj72GM72mX5og70NXPh63ONbQgRYU9XDB6srEWxqqy309DSoYeTjbH6KvEJrb97nS4W+VQvfExvi6twCP47BmOz9sF6Bo9NvXigwe23u/iSW49KORgyXwCArT1dLZxan45sauaO3Le7HtE1USAWqH7zrFYbsuBQUab/1x7gutjj1iw43tojLeBvwux1WFv2Bp8xp4Yei9dk8B7n0fETL0Y2iiBXpQY1vizNac/lcFPigf0YsJ1zb4VYcsI142fkwbUW6R9ttg6iCqvyb8fvKhltmKFQnHGkF3zaPNd4Kn/aWhM7QwEvxfSSzsFP2TpCIoxZDg33gLsUlFCnz3sY+50ib3PNNOvuWJ4WQxJnYG6cO6hLtXsLjYadMXt/mXiEFpRuflp8J7U1WCH/dH2k9v7rCiRLlQjBUlIaSNlte7WP2nJjNMpmx2VQhOIETo00ZU5QDehj0q0b1WQdqx9r7otUJSQmhOO/oStQs4rblBfbwfZ1NZ2gizRIi2xvrmK9EKa8siqaD3GEZYMKXxqggL9HLU1alRoQbtgT2gd0W6o1zAiaTwDXDUb2ueVt5aW2uMqihxqGw2ZD3Hovx1EyVx8z5Laxp4KZpujgJef2RPgrBqYm4HHVUWge8AeEjSHRsenPUlTB/ZnxuOG6L5/LVTz9c6wC72nvzizrInADXHExPEsUNjYxX6WuI2OzA/OQFeUYLGG6m1bkPly9kEywS1HRVg4JqkUjgDbAejVQAQle6YmrlGdTSRJAUlAqP3sly2jfnpE3S7tWdfE+ydiCuhKu5rOfI/tLVsQOKVDESKaON3yWDE9ZVy+WFAWNf/BtZ9eOHZofxNJM69MZuLVWiTOrqpu12aItCN+8eo0caK/3MN9/3vBS1Nt7WlSKGpUZzIW04VsHCKqyikfG/NIJCDujG3Lke9zf1rx8dsj0ougzIr9Xo3+ayyoZPGqxdgjMl8XhZwK8EPE9KJtbTnqyK7fxKtEuQ6SaEf1WCH3Gaf7lWrgP8xwRFlDwJIK3h0v+OO7j/jHD3+DT/mE//u3f47H64JySQjnwL1jfa2MX3wevDYRLUBvxN7YfqmYITcMF00KmcZNo4iJm2ObLdbPAZeXBXKJt9olrxkYtk7TC9mFZeVz43nZ/ZJGoB4L4n1GXRfG4Aeg3mdIUvioRxgbWKaKh/sL1j3h+v2MdLbxRZHphwb8+xshpPcnaDA0KxeExzNcsMQDJv9b1h2yCavelT/fg338ONpkKolSdKB7AU2IQxTxkrG8otnUFOwgNaQIaJVCR6PUAt2xyupqh9ERK+mBplf401UxPVf4SBygo8MevIRcKZ7lyrMhoM4JajMvUa2ifTc1dNYRYaIWAdtDj1LTlSgulRqtn3BIVMowa803Z1yFFDp7SQGHL2v/uUanUFOnzBiQbmsw1zD0s9j97Sw4NITLKWYuHV/5nNqoGjFH+My+AK4VN6dYL1c+hhu0cKRktN7Mq0IfYUgDPzOfYP25DLI1KikYULt+oKYKCPsh48WLE7YBfdNGIVoLtCC2vXxEEPBZQA4Asm54TWFsP+fJsYjZGyxqex2BD2+ramIpjG7FPqspc48JozEC2NeHFpi4mI8HXk615QeYTddBidaCKu/TIH3fbUXhY0dakK7sLXcFXV1sjXJlscrppol9mJoCx0tZj30r5liy6+JgjRbtNBzcXne1SmI53CJdAA+B+ByQtwOgQoSrUHQhbDzMXaHZ6alxq9a/7M9LUA9km8haiKyn0EaGOOpyQx3bBSXYgHplL7hksd432nS69rXm+ktLnlyBlYF/fz4hW++xEtGqwoOtLAo1QRZNFeUYUAurnGPPWTuo0dHu6nbu/rm+Oi4OC0UCgd5TG5lU3MzK9eTW94wlGm2MkAf/Qch08D3lgoQtWWNhRA9TS/bj1ZNhX1+l3WRTExcAEnowDTSbaq9gqJwnov4t28bzk6LaKBO3OVfanp4zZC+oS0I5Tiz8bJk2a/6q0amjANNkhc0BkTeWQl1u97knvmHTNgrO/VvcKpOUGJEXD7gHV+G+W9EC/l54QqMq+zNvBaqBthyKQtZqn+1ouPmR3b5uduhJvyfMsEQEkz2zFFGLIhnKEE0HQDKQzqUVaL1Q6urwnFFqn29+Me5oBdImkujbvtg1BrsAu5bWWhPMHwxBdZ0DwpsH2tq2Q0aNBeVn6RJR59QKbXqkLYfMYnu8Zs60Nx8WoiIJmgDV/tO3N7aBbMWOKTY22/S4ok4R9Z3FRGLxyUJWCFGogikItj1gP1qxzoTmmjCiJ6xAR85sHdIVqN5ju1pMY8muJ72OEoddrXfX/QEZU+UQqMS9jjQdt1kQvDC/xbE/6IXk1srhSSPa2ZvO2uZh7t6PmoGUgXIB2TNus9L9uSt5YxfUPdg9S9/H9hwdHZ2etflbzpTv8RgFD8lI88Q/brQ/32PlaIX5o6IcKws3XoQvjDfjJTBBO3f2R5mHGLD2P83GBE38yQutTO6YsNY94nJeUPcAzQJJiumrC5HrXx4QL+xJ3R/4vOPFWRvSRoOlS6FmwD/8U2BfgX9hl70I6mkscKIhgjwXKVoYMtHmbArPKsDzzyPCzmLX8j168VCB9a1ge8O1Wb6Vvm4HwfMfC0KJSM+M14jMWvxmvZQaiZyGHcYUBPavdoS5oJQD9QcqIDtBGe9DzncKPRSsHwTuyI+/M6bDAdgOHKFVFmNorYwR8vOMj2tCPIfeBmC6J0SUFfsbvgegRgummBQEVHqOCfMPgtPvMrb7gKe/R9RyfgTiN1ZI2FnwXt9ZUTDSDtJU8O50wa/PMw6/jUA1dtoEfP/Hgjll/A/ff43/97c/M/XwCbUEgj0RCC/A4XsWk65foTFK0wttIR97IdL3K5S93dcPvRjF2dVkC2g0VoAA20c/77neKlTrF5B1UGdtyuhl4b+Pvwl485e151AR2L5g0p/vFftDhc6K6e2KECsmm+Gu9xlX01LCFoBVEK48y1rL4Sb4uN8DmahvvBKxThfe6/4AlPgj+eKPvP7gJLeeJtS4AKoIT1fo8wsQI+m5gxCNlAp1VNYRXxfdwasEd0AgpFb2YADAUPX039EChJwRLvvwDUG5myFzQI7RVA61Sb97MCQV0GKVpIP0XgOrovo8s3zgBXl/U7wq0vNO0Q7hgPiw9/5cCBgsDNekYgfqEpkkFEFNAftdag303ptDeqYlcUJhgYZUBg+GBlETsUPIFWEtEAo770/t0PCvfdbj4/ftAbmtkx9gpTrKbgImRjuTYsGQV1aMWtkDD1IRuACAFGnBv1oA4xVGaBc/mqp2JUFDbvywSDbeYHtjsu6JdCcN/Z6IYikEnEEGMQQgKkqJCN67MQS93guGGDGqcLbX5HKs2iPOsQd3M1GeGPu4If/b0a8xafYk+Mf6eJ3ePM6H9vdLVu4MdtYLHbyzHRiA9IO8JdWCz+ibTITRxjT5ogR7Pp4Utzmstm9CqT3JzRTY0hShMQKJc1PbrD5rUfAg0YP+YJNlGnoZWDAqk1i/ml3Oq0fRCxK2bx3xscq/FB7i01OAsxkArxzbuIfs6LTdVx5QDGdZzIHiRjvbDDQG1CU0dNVbAurUgzYsgM61qSD6DF4Wbmi7fsCO9Y0RwSX61dFuKYpUFBCKTjgDQQ+lVY4RrVpsvWOoluxashE3acEgYElZSj1RLcMiq0JNHEyuO8cCBeFoLQCyVTRqvdvkKDgGAKXw51K03/Pk3YqN1ifZkHIPRFNAOSTa2JpbgRMAmSxT7IH1MDd6tM0xqPUeVy/iNcaN9S5OZ3dUdis21ilulS0me8H+5Qn7Q0K8FEyFhwMRW/QkPQSjmRsy1+jVAfkUsN0ZPXLvQbEGfr7TTasVdziKrmI/BTQUbGQHDP7dkRVYT6b/jBdv2s8WH8Hj66VN9K3RqyOLLKEqi9FGnx/FiEbELEzOINDGCnIlZ+9HjZfcCtREi1NrexFT4q01NFSyn4Ho/VhCbYUWtbnStgLjpIOG4Apa8lunAL070j9dV2ju57H34dY5NQqyJ64ATD23AlcA6wapCWFORNaqIgSOP8pvE8JKOqgURTxvFlNE1GNCuGTE5xUyRYSHCSV6odKS5LuAUIDDNzaPWhZI9eS2J/3dzpvZt6I7VFsfblydZaaNAVA37oPNisIhE2kD0Pr892OA3lGkzFHJ1tfulPvYfVTXsbDH0c5QR7hA2nlk/+X8WDneyPbC8pEFpXy1xNv7NgU2Gox9oLBiTnAf9iMv76mcXlgoed2qNu5733vpqgirQibSqduIyEVRDhWYrQi9h7avpHqhlHO4nYqs1rpFhoH5oQE11oSGcMdVATPDOil0UmAXlBqBneO/6tsdP//wCdec8O0vD4grE41yXxHPAem5t9iFYoy76478sGD92RF7SS3JrTOgBwxgAyzphiWYTHRV0BWYff2N9j89kt7cnnMCrh8EdSF19vC9Yr9ncqOzYntH+zv8NgI/MHHcH/h8j9/QF10/UOQrgWdzjcCbDy94OKz49bcLpkcr0Nrs5HxUxjzHAjkU7FWgIWJ6Etz9LRkcT3/fBJDs+ZV9OHPOEUCkUvAQJ2JngtsKQQuTQFcU9kkt6SxACFg+KQ7frNB4wP6Gfvf0a+D0XcH0VJCeNlx+dsR3/yihHC3+tST3w/GMX+tbLN/BxlnS9j+9mXB5M+Hx+Qj93YFx17FYUZn+PV4DDt+Snv3y9wt0rjj8ekJ6scTzIM1+nREBkPW4v2dM4mrrKIDARo8eabfxMdma9MKi2hlSDmZskf4YAUBQhD3g/q/P0CBYv1iwnwLyCVg/KOqpAncZp4cr/pM/+mskqfhvfvdHeHo+YjrtwGlHXhPCx8niNcaE1ajmugXUq1H+X+gf5ifF9KKoKbDQ/+8ryZVrQbBGHMmFwdPrgN6DNqdJDVQ1KUQ0uXt6JV59Xq7/vCO9RlED0JBR1B4M+UzalofkrnjXqvmC1hTdKZp22fZg6cj9wNOGalYPRKeOIrQeLqf3xEC6i/eMGaVUMufA3qy+B/rO2g10mm0mLDwoCkPSYhXOtr78/HThqJyy+L3ToWn1xEAa8uTBdhsxsdtaiyO5PTlqyGp5dXi40MTC552uaoiq9N5EC4A8SFILyuNq/RA2p2+kw7bh807hLux19oM9FDrMdPUEhxWqfKLj0KUCU709E4uY8JAdnB70ekHAPz9F+9lX6JZTNgEmrUjdxlWZ3A62yYQ0vvp9U5b1f7fE8tXfTu18Lc7iFGDrH3KhLBcEgKO89mykGKqAgf7ZgkJphY82WL6hNL2i5vMAXZ3V1Zz9ejUF68VkLzH2npATpbUiSAyktqdOxfWA1hNHL5JUAI2CBH9G9r5O4wf3R/D9HABVC7qHMQDBRzC4oIb9PO8Nt8gf8BmbRKfY78WDzJEebrZEZEBQXyjc4IG/MxP884mEU8GdjeQVUoMFLUObAtAKVzWiDapvo1N4sbyUQNE/R1R8zexHWvLg63BjayFgFOTRGLs/dSEooym215jYqrI/HQDSAo2B54B/z5PYohCYEveeP38PK5g05fxAOnVvvzCBEW+FEbDA4pTxsYgzvMLOtfGAvakpQ3oftheBPOe1giQiEx2iuq4E7Pd0+zlihYJ6mIxGFoxibQGm9jVvAijmk8diJUX1SJlNV0VWvsdIuw4F0G1Av4wGC1ifeUZTmw2W4AYvACjQpg8ArXDgheWaAnCaoVNoVNh8kkaTlUrkY3/i2Id4pWJu64Ms3cabqKSzWBR8vhYPNLFGD74HFLbZrIBnqYCqnZFBVjla25LpSoyFjK4fQPYYVCEhQAZ/3JB4Y5L4ueMP1udXawrQwwKk3jvs9yLZEiUFi9dVITpBdk6KaKOyHK3OimDFXU/2OdO1P5uwVURPTp2y7pRuK3jcjnWzpFS1raULqpV59CX0iXFl7/LrIjepyBZfOF0z88zzIqR/nmuCNLHPFs+ZDVvbEp+l7Tez81ZsGfed/c54PXxf/n5Lcm1NEHoc0kSDqvnKqkjedjXW7uzRj7biCv6hMNGMV3AcysIec9i5KkUQL6EVUMdXb0dA20e8Jm0JLsdFAdHGVBYTbiP44IshQGCCFqw3EQDymwKVyGTY/NxNR57ZBQLb3OJ6KzwFWByolsQfiawGUyAOpkvh75kP0nRUfNZqMLVr7/EeR3BOL4q732asF84OrxMQjz22IArYn7PyeOnCckOP9rYnvFjRkbF1H9sDc7u9cCeNbbi96wBVvALxEiE1WqGFNxavvYc7rvbsRTs4FLWxH+NFMJ15Det7o/rOvK58FFy+PuDl64D88xUSFPtvjsgvAWUOwIeEfAw2+5jaN5qAy3zCv8KXqJeE7R3tuu0TAZ5fDiiPMw4fA2pSbJP07MwQ1/PXLBhoMh+SlH29pe+B6UmajekDboTA4sZ7qgugQRG20JBunV7HPQrMFboGxGvoBcVhj4oC158cWCS785FcjOlLDSgl4bye8F/r30cIiut1IlthDxSYcn/hhRFF63snI8TOn6ODLJzI0li1+XYv/r7XH5zkhpczRF1iUQCjuX0WuHvQP/QxyfnKgCcGol+qLQDShwPqHBFWqwbXCmy3aC1OM+oxQbaKuBdusiX1ijqAuBakZ8JGdeLX84kUDFdH7AdcT+jygSIKaVXMHzM0ANcvJsB4+GWJgLLy3xIm0KHVhQenz32sRoFKH6+QlyswTxxZMIXmpMosnYZpVbb5mde23zHZSxdWYKsLTw2HwXSuTAQ1Yn+we7/aoWWOuCxojemSGSwtP7A6khexcSRoNDpfZyK32npMeu81EYv9SKR5eeS1Xb7sfPxgqLWLYThqGj+ympuuiulSWzLghQ5RQJeA/RQQN8X8xLmGcWV1brK2E410xmURDpG/y5C5Is0ZMSqOy4ZcA56+u2uDz1sQ5InHNiT289R7asfIckRTAeiULDG0dXKxHRuZhRCIYomQzlsq+5ib6nhfX19LUUtaczEExRBgR4LVkg2NwNECEUsgHC31gKK9Kmiz0YJMt8lZWs+MC0vFzcc0hXb4U1CjYnoxZM0DZafyT9EKMDZaBUA9zE1IyWmQ3j5QForqeK+fHzIdgdEmhBqycNyJJdqi2pAHXhfa/2uwJVVpTl0qqP5nz7gV0II/d6+6d+rpa0ZJOSR4ISoURf0R4L0VSS5AWDvC6DS6uKLRYCVz1MZI4wyhQmNlAaAFrIZuz9KpSFbl9EBfgtrvsqjmTSpjACtVbpWknaqVokU+1Yo29poSkdi18HuWwOq6sZAxz33sFQCUAn0583vHAwseVQHNGGeoi1HvZd3px+eJhUxvZakKbJkjhKZIPy4CDcwQOde0soq79IAO6O0dTqV09JLIWm6UfU2CWgNKFAi0zWf3wstIdy5HtlWk5w3ph43JzhQbWsN2EybCqJXvdeC5UCfhoT/M3eR1cr/GtRcgs80b9H3pCG7YFcvHinAfGg3Xg8HgoxhKR7+8r9X9G/2q7Z19SD5NgTVcM3SKyPdTQ2tFFeUQkSOfS7pU1CK4vou9v7OQuhcvCc4Molig2fquCGvlOBkbL6Y2x15KRXym0FO5n28LOsFEjIKJvrgLczaQ0O7DZOjZW0UpAtGp9avFDT3JzUC8ZOjTE4WnjgeM7SQu5KhzbMmbqCJerFixRCtWWDzhtgU0FktcC8JWUJeI/YFZVIqCuMfGfALQWAxxLeyJngLKMSLsFfPHDY0ZpUB6yYhbtfafYEUPF6FDF1/ze7XirCOH+cjxgm2UoMD6VhXpCqSXXpTvvdCCtFX2YlqhxQuApCfSluOmSJcKCAWL2qxXlU6TjmiBeNikKQB7oaYx3tCLPF7gL7P50kEZGpYopBcLxu+6ZoUnwX02La9FLhRYI+vIQIEDxUrTWu2eurCbJ3p+npSDoDwwi5Odgj/Ld54coVN/hwS3KZGb/wlbJZPjyLM0XSumM7DdB44qOoAquob0QQHMFWGqmOaMtUQEUbz56RPyTwIuzwv0nDDSgJo2g7e7FfbQSh4KkuYvAD6X/V0h42cKRnWWlliETCro9oEPaH6MmD/S1uJuYqxNd4Xvefqm4O5f/ArHDw9YHh8YD54Iwly/EOxv2uVa4iKQoDYTmGPRfHbz+jIj7+zx9+cSLQkri9qZKtASbG4tadwvf8Q1mR8F6SJYvlccPirOPwl4/HNay/Q8tCut1strCr51lubL0otgfgRR0zeC5z8r0KUiPkaElcJUZYk4/7zif/8P/wdEUfyff/m/QjoLtreC7UExvQhOv9ZWJFQRTM8J67cPSDNw/oVV5yeyWXCNyN8dsHwXcfc3pHyXY0C5qxbPKfYPGfsH84uB9+vniY/ncUExCAW+1g+G7BYWidIzz5F8D/rSXTC9UBhrf7Dink1ckRN7iF++PyKdI3xO8JhQqwAf/zzdJL+8Dmd7RIhGyL+aaC9fKHCqSC+BfdGLIj9U1LlieX/FPGc8fXeH+EMyAcIKLBU/+foTDinjV/mnmJ4sf9gEuv57SnJRnMNkSe6IbgFoKK6/XiNY8VXU+GPJcdDbyC1G+BzeJhDjKJb3N1lgeiOJP2w2ryy1r1tlio57QBCG3wvej2UPWFr5GDcoMUSIdikpsz53TkOAzFOn2tkhheTBPgYKZFdq9Qb3aqrPfjjdID5DX5dkW75W7bQqSe3JZii3BhuKAXRjjJ/Zc+kBEL/IBbkp6liQ5gUDMUn4sLNyRsEU6esDorCN3uYHda43VAunvTna2CruRVEGyGbsV4MKRFgxj7EihkEMZqiA8v7Qg/86mJiIJaOvkNhRVGb8OtCq9e1ro1AX0P9dh/cZvz++LOkcbbDNWB7f56a/VvrB678ThLbV0Kv+s/7+N+JOnnCqPQ8PdLyi/SOXyj0MUKqK10VJ/+4PVAY6rtHxfcTUDYIDsGdDdCwvtG+q34T9YUIiLcAb6fg3//bkzpEv/33VRq1ve8Sfh/d5xuFzvU+40r7b+hT5nI3utrpbn2ceEBtHcQdf2EYz6Y+YxGi3w2eIzYqMqMAMzlDOgoqA+Jqyqn2ft0KVF2TGD9wzpA7FGn+FQahq3AtVyd55be+vmQjOTvDvja8QSIOCXVswxCgATXjAElJ/Xvy9fm2v16qNpbJFaMyHG19hxTS3jwHZbzNii62T7+/gSFdsVF9Tu0ETInNWjnQ/3f4OLPyREGAokoAFinZvg7001HXoT3cfqf1epJp5OBW/tea4b+v+24WEXq/ZZy+zHT8rQu5kD65RR3moUI6OCr1Gukff2pDcH/m8m1+yP0EhqVpRhz9UTKDE1/iGODYkmE1h7NWmCntFkHq7DrZfRFmMCuh7xduF+ofIDXvAfRCA5uM0Co8smwfdEiFHj4d10RR4+wOd2YXHfO/6uKCRkUKEvRcr29i+6P7dztHGNkMr5kgFxGINL4L45/l9tDPD703cfnCDKtYJyMHVwV0AjJ9Rh2LG6H9hdtLOOn/e6rYlrSDUfHzhRbQe9EEwk9fcf5/XK42K3n/fFu/1HvDPzQKfq0618nHt+h/O/gVRLngc6s/FnrH5nH7O4PYzh/UVj1liRRRFEOUIF/+Z9ly6PdywnOD31l/iXYNqxfxz6PZjz9MZfMWZAlvXcpDh5xrrKvrn2r/vjqiH6SbOd5ttz8Kv/1W8RVq6MfKuETkLJlexBtoe8PYFycJYowLqSepCX61ROFbIfXvl2QxHbAPfp3p8b8+8Ju4DIrn8WjnApoTwPALMTpNpYywVmwXodVHs94HF6KO1e0VQBFL62nkbncepyBZbALZntIFAbh+uuQBjK6IAYY1DUc+Q5tTvBXAWiIEUlz4KikUvAXYyE1psZAyFeCUDJZ8CSiHLS6r0n/PimO9Xv1SzcRY7rYjQx4zzFXiP5WD6DBOghwqZKuY54zBlPEfXrAHCJdgQh2BxLHU5fHze61a23/f6w5PcIEZH425SQwhk5arqlDp6ZTQ2I4NAlwkIiy2SBfEuUGLV8ZoCMEeE646w7UAIKG+P0CkinHdMP1xalV2T9Ub5+B1zcOJ9o61/VNpn+vzJfJBOGxZ0BWUA+chqb3qpSC/91lUAnYkqTM/FEGc7FLMhW3YvGgPy2wVlOSKdC+KZPTjxWiA1IB8jq69H9jZINaGCMf6MPsBcEa/oRh2A9UGw3VEJ7fhdhUbg+i4YYg2rVLJ6cxMoO6BYFNOZ7016nSA+7ogvK3xkky4R+W4y6qbagaBYPpWG9tZJMN0Fq4qjH1rV0UL+TrrcCiVJVkzPO6Qo8t2EcogcWXAuULFRE8EpJ0pRFisI5DuuQ8gCPUfoVDFNBUHUmJJCaNCKE3WiUMr0aFQz3wXu0KcEHBfUkUNVKqhUJmQeeH+u9zMaFZk2LLQBZx7EjmQ0kSbvucxDdOSH7ojymmATggVBJmvtfXVliU2ldKQzjYhsS97E9pPyeafdlXp5PfmO790Ss31A9K2AhDHYMMS6ThFBLBEAk6OwgVL+AmjkiKk2dscYCy6S0NY99ve+6c8L0gI2wPrRg9GVIoPdqsC0okXhDe3dFK5K68i074eW6DhTwXuNXTgEds9BUJeI4pSwqyIk6w2ZpAeHN4EHr3d+NoZFro3GGa/ZaOfsy3MaZ60BIdVGZeQ9KKuWsdOw/RWi4nTYEELFYcrYS8QPn+5Qtgj9diLFzgNIRRt9Fi8Z+nKBN07rKMjzwydoXHpyAEBSJBImQqbNnong5gyZJuD9G9p0KZCrvddsQY/3RO3GmbNxUqRJM/Gtdwci02uB7BzXE3Il0jgvTAyrMXpiQNiCsUhi9+fSA3inC3N/BcQAlCm0fsvXyVTYK7ADca+IL3vz3+1vgM9qMX9gI/Bar6n1mztTiPuT6Ec7awIDJwiRosYgcaR/VfOLRPl9L0cL9DEkN36f2XQbaD9MZKZnbboF7V49EUkClYAIQDXyzN0raeGWiIRMv1JjQDkapfasJqjSUazx/UVJW0xXXn/Ivd9Xg6PfRHTLHZHRMofuA5tYD/89omUAEJaC44l2JaIoJSBfD8BmAXtAa8khjc3GCQWB3JliTakYBdbS08puEqHIXDmkXjSpauezWhxi2hM+Bi25iF4wMTQlguYUaGHMUBeirunC87McnPLsnxOgJv6VT7H5aqALFQG8p7j7ODfc0JjXN52q6aIwzhxwf7Q8amu5otCOYn7MfP4ZbfRh2Bh8UjODaJL7Ue8/rfMgcFm6T13fCbZ3DGLrZBMVHtT8VsL0DOsZBjozxxR2wf7O/Y4270WV+ROQngdjyxb0D6/pBZgfzVfH4byw2IwtWoLdYqm51GF2tCdu7gfsms7A9ANjqXgdnokhzXE1jYdz6QCD+Vhnt+VTb5lrCZvYvRvaFbaAGiowV0isSEvG4bDjMGW8O1xQVfCyTexbz8FEgSguFHYTPFoZS6EqEBn/1tx9d7rynIdyre5+KW2Uz6gF40rP8Qq8+YvQxkdVS2hdDXp/4JqFDMgGvPw04vruJ93XCBpCLpXj2XzSRtypQxCyNnZiPimuPy2QLeDwm3SjY7E/APubSlqvzY5NHyMVlGfTYpnJ3kMR5Aub8rc39HPlQAVmjWJiYmjiXVQ5Z1vRfs/7nz8C0/eK6wfBp/8A0MTZxdiSKRgL9ntFfpOBqeK//Ks/hYiivsl4+g971UoDcFnDDXvx8nVF/ckGPSdMHyNkB6YX2tbLn2ScvnrBOZxwvkwN7JIqmD6GzmJItM03f0mhzOefB2xv+NzWB65ZvnMfyphk+VZw/Jbrffma1zY/hpukNb0I0gvt3UdLPe4TrlUQzrEX362otn5Q5DvF9Cg4fGdIu/X2PvxNxem3K85fL3j+WUA5AtcvFHWp0IeMuBR8/eER/4t3v8NTXvCblzco2uFCSRU6KaaPAQ9/zTF0P8Q3eH6zMaf5Aq3gqreEhd/7+sOTXHupKucnvq7Si/Tg1wMGQzAa3cuq5g2tG9ANd+a9kk6KZJ0DwhlUTcQEnVM7YFqCK8A4sqQJN/kleoXFHNUoYhOytD4XTQCKkGZYtPWotMqjSAuMJdd2MCIz8fdAqSYeHBTlGA8ibdeDVvFBr8TmbmQc3SqI0FYhU+GTVPTAnhVZ7WvplUpDDsZqkV8HcNvHErLP8WTAghJugkoFGiWoKQrayIiwy20lT3kgpotaEkWBFVeMlmKFgVwBTO2awrU0QRoewE4tQ3um1RyAJzNkJ6r9+RFb9eDJ1zW++gEXthm5qUMf+Wd/xvcOvQrpRR01ZWYdg2ZIK4j8XgEqf3kQevNB/tnxJsH1kSsY0FOpSvG24bk31WrfMxENxQ07EXUxJWVHf+xSPrvn9tn+qrBorLYP5P663TdjDx7g+9a+pv29G2rhXzdbDUVanSEAjZbZetdqR5q62qYH1ejJTivCDMmN70krCqAoMKH1WwHSe94txghGuW99YgrEixWyHMUdPkNjZJHQg2mjWt8i/f0w+twsSFeeU8Fp2pFjwdN0QLUKckM/bA96fyZ903BCaH9zXVdgjuiK4Pb8jKIse2bRzqnMKdmMaIGcSyt8dCRVuq06Iuq+3IWPjJrp42xQTE3ce4WlP/cRda/DKJxue5ZcOZoahaMajNLXmCbul9ym7Bnf+G9/sFzsjlSIGyvbLNi7+Zqx1BMP/x2vfnshSiqgVVjdB9qeCxt9HqIJwxUP/nnfXrBpTAj7XVhiHa+1oVdkK2i3de+FHRLMdu5YGxGK0ejsFXcYpVdu96rfmsJ0HbShA42l0D7fExH25t/0tbf34b4a/QAUCEExp8yeexVU69sb0SgZft4ZC42Ro9pHYfln7QU+11um215dnrm12YLbo06Vxc3JfSYD9Vi1TRvAFFoc47oDNYfGEms26OthqHoxhIJ+g8+2GI0yer9uEzQSom7S4xV/LiPS5joTTURzTFCtuBF2oYrq0Kft8zQ9XnLdkR4/SUOI3e5q4lxT99dEzSqQlAqzLeHTm33hwkmdQYQb5k2An0283/jKD4aNkzBU0Eb3+Msp8I1FpP19PqMKDXvSabJiYlgDQ7jtRzIXyAQIViyGJwJh6Ff+ESah3Nwn0XJnKURRxFCRpKKaUVdH0kZ/otxvYXv1GcPn+PU6ocXp5vspYHvr4zPt7aw4Ea+C9MI1zUdpCCrU7N2LT5aI5hMVs8naMxt0m/Sza0BNX6PhGhVyJFrtytVjfF4na1dIleJJBQhGU6bujbKHOQh0UtTMJFuONg7OGIR10V5Ed5duKKkmRYUjufRb5c58wy79/FVeLxY+iO2FVfowUwyrZlKp1ZWI43AfB8W0ZGxrZCK/Ui2Y6yCYU8F5rrzO0C8ybGxT9EJBegGO32yQveLy4QgxtXJNjNMKuh1CrBjyzKKlF3Vk72eKBtuDK219fvZia8S2C+/fYyV7zzor9Figl05Vdr8SdkV82RH2ubFf6qlC54o4V6RU8LO7R/yTN3+F3+1vkGvAtUy45Al74ViyGhnbTc8EOsMlYp8TBPzssAlk7fHNv+317wDJDUCIrAZPiT2N2imiemACKtdM1MoPHhGKOaTAQ1WqIbEm4b+xch89KaiVqNYUUSeOrEEKVPC0RFkKq5GkKKAhgES0MFTZddjchhIVqjg6XdZ7dAEL8CNRSiSnHPF7UgCBoUC5EkmeZv57vX0KbgQaxUYHBeS72GaApXPvXWFfFXiAGP0oeMW/oB0yk6urDSOEXEHQqQPuNEaagR8q3BFoBgy1qu5eke8n4H6iUvRGMY14LUBkX5H3DPHm0NaciLEXA7qDlQpDKmqj46WtQp6JeNY5AgvVVdPF+jvH+Y1qFWIRxK1i+Riw34GVO5/ZlwXIAaUGxJRxv6yYU8TzcoQWAa6G+AY6507LRQ/G9oyw7gjVVQ/Q5uHyQqQHTC5m4l8T6XR076WdqOAphShzYz74/gF6IiDChCJ026bNx150cJu0glATsBkTyCGI5F4BxoKDRubwHgDwPc0EAg3Bx+WEwt5zRz0b0mkoSqPTTJGJifQ/jnixR0qI4jhi8epsHpPlJqhiDrbR1gc6j1NagyEPnqy64A+r7tqCkvE9pSjStbT7cGTYacrqVFR7Ni0pgQJGfXMack3SZibGvdO8Q+ZnBPMDDf3z27VAWqdIupfPxbX3dtSmTjwI271XsHK9R1zWGZcV+Ph8Qq2C7XkG9oDJGBtEI9BE3uJGX0XbtHnQQ+AoxxOQFlKTU+q+2vyr272kCMx3RGx9razPVtYdsu5Evg5T3wujivOwP8R6kxEC9NQ5TpyjXYikTwGYKGzV+rsPw3N3unmKTewF6grx/gcd+fM9BLA4qwpRIiFSBLJaMr+wvxwAoqnlkxFEIUEUZR9xqZCJY1jUKGTFBNzYxiHszBG02Z5xNXSu9H3IdpmEuNpZVhmYNrQIRNXC6r31vJl0tUREyODwnmUixqaIb8XkVpAEOs3Tx4gZKg0F4rUimG8Iue8pP8cajbZS3DGesyVVVijw8VshwAUkm99QrkmdjUHlgnRe4PV12gOK+fOqgn2PHK1h/oL7ij7CK/zTC9HssFu84dT7wf7qMiE/HNv6MZFjr7L3W+vRaMZeYLQWEUdw/ayUqtToQF/bsFYk97Wh+2iO/uD8+bhWxPMOTQFxCX3/e8JlvYnrG9vL1uPa2nsGH5ptnFrciLy3NamwWZ7SCsJSpAllUYfBNRKSFVqsP/hcW0zAe+v+Oa7Sg3gYS+TyqnBxMS2SiwleqmlHRGC/R0fei40ZMnaaI6rFaddWDOIzsL8mNNGeaoXc6Wxrn7XFaM6GmZ94EzUJ6n1EKIrppZq2Sd9bGrgv50cmli7eRiEhbSKC7Js2psOlx3ksYNl1FGB6zJAK5LtocVkXDY1XQS2CEhVVFJtOyDliyxGnaUdVwfP5gH1NkGukKNJZsPzgNoCbxE029ohL6cycmkzTxZhuIUsrjkE5kqdOlgx9pE0//wIQFdOx6EwTKM8Qn2xQjoAGtVhTjD1B+nFLjm2fklosOH9N+uv2VlEORLTTXy0NcKgLsD1wDJBUcEpCBcJObYx8VJQPRFinp4B8VKjpk5S7ijoL8j0LFPEqmD/53qPLOXwrmD8qtreC61f0Ra7eC5BBkV6Au7/iiJ2yADURuawfKvfUS+Ss2VOGmHCYqtloYSya7xSSKQQVCjB/F5AvJ6RiyOdJ8fKGa5MeA87/r/c4mPhZWcBpIKkinyj6RIVuruHHP1sQCrB+EJQjE+bji9he4Npv7yrqUnH9iU29ALD8wHXYHxR5BvKpQo8VcgmYP3IGNT+PPyPKZzo98Tp9VGe8CkImul1NELMcaAff/8OIxz95wzE/94pyUOB+R5yoPQIA317u8V9/+lOc84zvr3fINWArEaUKlmXH/l6xquD5bDoHT4BeZ4qH7cDyCbj7TUFZ/25Z7h+e5Hq1X4S0zMnoysYB0TmhTpHJ6mo/P44VSQGCCoVRvg6Rjs4ofVJyQ0RhY0r6SBK5SRKagy4WtHqSu7iDp3NJVzqgnvRZD4Jqp2PWHvSzWt6Vid0pjr0/RMsq9G5GPkaEEhBiACpn6PnP+LXlA+8jHz2RIHK6Z6PlehWxmjBKSxZ74A+FHeYKOYYmeuvXGXcF9q5a69W4hir44aU96CPNmEHn9m5GOQSkS7V5XEQZECiGoUCrWI+JP+dOdvGuuCvStRJpWC2xMGQrbAXhTGGX/PaIOlGgQ1bOqKzHTvsBPAFjkDVvxTZwp2xBYYxZ/tzdtGEOETFV5FShEltQn49AKIJ4GYMCS0DXDRhpnD+iBjsmczf7wfvMLYh3cSYKBhiyb0nuOCqGhRxD0VrvVmj7RFUhGz9bAueYYUxwrQDAcQE94PBeGu8jEqBR0kfhj7EPxiMtDQGyMjGXwrFRN/12AzrSehXNLkZGBpPkADkAYvoZXlBqSK0XWoCbhLz1Zhded4W0HnDO/bRDdHgMrsodd+0Cc0MlXHJFMFushppxLxi6/XomsiFSir6uYbO9PwOSpCW2TdnVigNh/z3OeJipWZbI9200diWCM4e+V4XrKlWAAmgOyHukmNIa2Ud25WHVqFKV18nATC3JVSDGnsgOSK4sEySYA7GipYuh3fToOoLrSbDZOQD29eYMmZKp9/o9DcnGwPoRS0bqnJhQDkwNT1TKIbXRWL43iq0NkVlLdsckCX1/jHsBDn8a24WPmOhLSKH3dNmItHqYup+KAohB+kUhNgddREhgqFMvxgyF0IBOXeYzcJEOD77NJGym+wwrtFan5xsSKHye6Vp4fhx4D+nq/Y/098n3TOas1+7r/ZDwoiCfaTCfVsMEnSxQ3xTeplB9BAmkTyzQzvpIzxvHPgFoYmLrxnWcEhSx+81i/k6kvXdNFqCNfX2FQU0tRHBLCSg5Nt/e6TxohUoWloz2Pe67ofBO+xXku4R8Cm0kYGsxUmXcMkfoFFCmQH9zLQwkZ1KVk7E0NIyjhwr75kzPQgOsWCjt/qSwEBAsKVErDFQEFtEHf0yE1BJYmykf154Q+tntM7vjZj+nnnDRDkvsZwJRoWCtEwVBgXKYkE+kqaYqQGVbBgDGH460guyouCn3moMETu0d/Hdn0aAxhdxP7yfGU9MLZ+hGe27w7clqKwsrClQrxrsoVUNmxQrclcUfMYHCzhZye6UtbG8TykzqbrpmFrZszXtRCjfF75CBw/eFM6zXAtlrswtR8BxRrmk/R7i3p0cKi9X5yCRXzC+IFQpUiQDGAC2KsgWsAK45odSAvEXohQlu2JhkHn7gns2mYswztLfIhSHJdSppU9n1Q9KWuixE2sLHgOmJMdH1p4TQpx9Cn8lr6x5tosV+p1SIDoCrXbstlAM6Zd3beCqI6tuYr3xU6KKYvws4/Ya+0dvO9rcVel8Qf0hYHoMlWoyDn/5EUd4UpB8S0qOBFVWYbC4FOgvh/qDI3y2coStsEamqOHynePibDU9/POP6pcXUhmICBJniqpifeJ/XDyzEbV8UxLc7ytOE9CmiHBTywB7qWoON22GSy5aUytbAJz63+ZNgema7lhcWyocdkioO/9MBd79U1FmtbRIUhloKWykKmlK0JuDyNZ+JTxOZL4LDt2rjNF3RX4Fjwf5WoIGU59PvSD9fPwD5viK83/Dm4YzH5yP2coDkPo+4LrbfdsF0pj7Q9oYjOeMqkJduX3Wya5sUZ5u722xsqliOe18nBR6vC/5Sv0BVwZqTdbJGKIBlyjjMOz7VgOvLgTb/YgJ2ZkfLx4r7vzojrxf8XV5/eJJbqznm0IJ7FQE84PH+KhFgmXvwOyQH7Kn1SrZRV1VJjQvCYMpnhEZX+62tJwpiCLA5Na++euDv9EK1DeYjbjT2xLfdjvW4slImrX9UzKECaBTqkIfxEh4srJmgWRCUA6ulHshLruwRGOgscWWV3iX5yZFHmx0L4KZPgRW5Hig5OhUNwW6o3nBbk1Xd80Gw32lzVo48QTlfzoNgDwzjWi2Z6AiOxtCM2Omujeo8xBAqruaL1ifVKZvozygxkYIhI9GSKbcd8d7FkWbuNqbo92mHN1VmBZenBWuacL7OqCUgP84QU6FjEsIDNmQYhRrWe/VqFNBo56idvug/4zYfLQlulEZpCEbrqa1WgEkBgpmPt/I9dUSJR9q/rUGrGLbZu2bnts5qNnfTkxQ7+kd1ZTUKI0wITDEiXEzi0Ao7XkjpNGhLAF6pygRnW4SAWyPwok7/WqOu70C0n20BmYmq3Qp9DEi7BcaN/lRhLAoA1tfhtqDXvjd4Lfbv4bne0Evd5IZ178JZ9rZZmRgqOnJo/096vjY7j3u1Il1FQ/ldJG9IFl1/IK6l0cwR2EOqUTjH0dDKsMGojXZfhuZqEQ5VV0sMKqzny/twYaMgXBxOzeYAqh4PyUC71tLtW7p/l2BwkOsvuAAg0AR2yNWi3+5tI4FTt3zEVKWf8c/0cS5qz1e9eOj0VUtcWdz0oo32BGd4zoD5aKApwLbinjiqBKRrhQvROJ272UuK7X+dRq1T7PYxvDQEo0hzLTwo9CDPUf5RIM1tO9jXvM4glSga/bkiVKPlB0Gp/NuLUSFrm3faigIZEK1W1HGf0deqXX+UTgsHWl+/ipDN4BRsL0SozWItagXY2thEnzEytPt4XpSd3UArCoesUK0Idu63NdHmgQxdEdRrxOW8oBbh+IkikAt7yNKZdL64otEs07USxd5LaxnBNEFGrqvtAU/A9ocJcYs8y0tpiHbryXc2AXDTOuLsjPBS2/fUbDOs1fq0PfATC/CJmiZLjNmOE5tyfCuiZT6HuFkBQGAFCCA3mg7sDAN047/rbF8vfDTB1nYsBJZFWIRHZ+pMhrCrgOyGAe0P4BniyDuTeEERKzTuZJ69prED5uudgWZMClddboXV0Ecfjmsbd2nsFRmSXJ5lr84KY2M1lpNd+zgiJ51rU6Yuh2hJGItkjGfQztB2HVVtGoGtlxULOmXb9lbw+BVIL4bw303WzyrtPPYkfmQl8fzhZ5Y14vunO9QqqOcEWQPimQrTcShuJBtJND1nhKcrfdacUIfzJewACh9lnYi4xU0wf+T75DtAExOj61fWT21zUX3+7y0LEpbQA+VYMT0GTM+h+7YCLN8DEMH2holYugjmT3yffAJ7gQ9Er/MRuH5pZ2oZ1gO2RsLEs37oCb1sTL6nJ17XDkBEobsxybYIZI43yyfeJ/uoORJu7JUOu2D+RGXtfATqLCgRqLP2CRATEK4BBRNHTE0KXSqOxw0hKF4eD9BrhORAeq+pVoddmppzs6U7JvMhA/E3E5ya76OKGC/yHqsmTGeqIucTkW8Ng3/cuuhmORrQY0WZeAkoISFeAveMMAFWAeIFkBKw1xk/rBHyEnH4noi5syMyYJMeWPyBx2UqTTC2UdAz+mjIxQRzbcOp9MJk2SPUCpVbTtj3iP0yEaxxYVormshzwuFRbJ9SaHD+KJieGauXU0JJE/4urz88yd0zqyeuGmxJbJ2sr3KvkMxxBeWwdDQI3SFWoyCrz0UNQpRjz9DDzH5bCyI4h5Eohx9iukwc+YDu5Lz/haM/aPst6PA5dKZazB4cbcbS+lYqDeJ1hdFn5U4vium789BnCch5QzhvyO+O2O9Z1Y+RyFO8ZITnjHKcoMdk1K4CTYJ8TMgnbpDDd65OaA/pzAOizIZQ1U6b8fEA4aKYsqLMFD0Ye7+m54r0krF+MWE/RQ6f/1QbdVqFAV964Y6pMVDp75rpFLxggNHZKYUgBK3CckMBt8ODB5wFHZ7kAl2kRRUyRUOQ9/4ZIcBVIB3h+6x3FnYY2ffLsUJnhWyC8B3nOFYrFsxG8Q6rtKDg8D3Rjumltso6psRk9PUHlQrkvQX0ABri2ijJU+y92Eand7qxBlO4swCqHvlwnR5307/YIHmwSpor2X6CRp28UYq1PsRu150u2ccdAGMfHKvVntDdHvQ3aKo/r5nPQ6tCMJxELswiwrFBYgJbCt5LrhAPCqUH9s5KaGiEuJqhHUiu1G2Br4s2VZ8XXdAERGA0qRZA76Rl+T20ecJ2TS0QcyVT7XbZbs0TN6Om8hCuppdERDEaDdRfnuSiKsI1E8mxAgcT/oJx3rcXQSRXhPMwHi0AOE5ECw7Wq6e0Wan0UWVWUqOuPNiDqSK2JNfHJWzWB59deK4X5FAVWnZoHT47BuiaTevAgt0Y6Yd9zNu4B8BAkhQ2Il8yBYTNElynwk8W0RWFqDsO3NLunZ2jArGqg/elebJBNU5P6G3rv+pJ09gpgWHuys2AIWNH2nK6OhKpQ4GCBT1NgQUNF1GLwnYKWHA7fqR9j+Jynphop1ya/Xja7HRlRx77hfd2DvaVeqGEezIcE2qy+b5K1DCuBTVSNE6DFSZzT3Ah3c6bBkAr3ASICcvVJaFOgX7QRzXNsf9sRRt91XrXRxsYi38tWR2eqzO8cm2FIgSi8ZJ631tjd4BBHFVBI4r1zwUbRzc9BYTNELkzUcDlUzUBw8zPuWzQbYNME/R0gI6ECitq1KIoh4D9KEhrQLxOkD30mKQh2dLEhOKufS0BjjB8WoEo2N+TjZReMuLLBjkkaJzYogFugf1EhHI6ByZPIg3BGWnG3uITL0AwRJc0XYHYmEEXBWsimQcm0ZIBeGJpvnJUtOYeAGJiT+n0lBF/uKIeJuwPE2MHcR9MG6yniHzg3okbL7TGAERnbwFjq0ydmZynK+nCnakjVoTp7WEcndgTKRbuu2CW10+dJo8zejtHchq3sRkWwLUoGnPFiqXzugNFsb+ZsD3EXmiyM6axigz59h7efLCLFyAGj8FqB1yUoz/rJIiXgvl5R50irl/OLc5US2Ba0S5pZ+kMs8pxjbhej5AqSC8UMJo/CZZP2n1HhcUtivTdBfjuB+DdG5Q3b26S3HRR5B2QmQnu/mVGfYo4/YrFE6ex7+8KwvuVOYYoSo7QaMBRMtEt71mtFHLSu4LpVxFv/6JiPwrW99yvd78piKvi058l1IWCTu/+dUZZBE+/iMhHAHdcy/Im4/JeIWvE8g1Vg1v8Yc+hLortPdHlcAmILwHzJ+D0DQVdL2bUsgWEq2D+GDA/2jikt4yTj78jYy9dtQERITNhu/ttQXopePz7M/Z7QyaTUYQPtNv0IgifEvKdIt8XyDHji/szAOD5mzvEx0Qb3IG4kfIcdmB+6rF6KIpLDVg/0Le9+QsWKT/9ScTlp3y2cRP2pF4EuEYsH0mvvkKwv6ttD4saUKVco+2BhaN05nOanihsFnajkUdgfc/C1PyJn78/RZRjRDpzZJJaIswimbC7o5pgIiyx3QnCxbWzHzUC6SoN7SV1mXunoqJsEZAAPE+QTVDmhJdpglwDlu+jqaP3OJAsB6L3ZRE8//2KelQs30ccv+PZuL2ZkLd/X3TlsVexMmDzfltHJRShBzXDyCBHBb366ZUIyZUBsy49yHQ0wWmcAh6cM4NBVkGkVcS9v4n9eSZ6Y30CXjFl0ugHCg/ROlnl3R5g2L16bgeaOf2mhOiInb8cqQYandGFmVpl1INqGSqGilaV9T6/NsA8e0Avhhr14L8jXf1A8vlcDaW2wJSbCK0Phg6lb/obZAsWuNRKA/XG9dSR3PYcLYDygM0BM597yKrnbXDc0PpXAarbESoTOyZBAXXpapy+bk0J+wqgsopabH18dmLYPEGxW23oVl873gNaEuQBzA29LQagho5wAT0xNRtQO4ldgE1tDzi7oKYAsYBTkyU+aVDhG21ofJmip987i0jBggNDYJKxE4K0nmxnKzR6uj8rr9ZbMOHiB0QlpPWZ3z7kV9fkz7PisxdFgoZvDDbqlcabREk6jauq7xd/9o7U9sS/9U8P19ZQPeUFvBYlYI+b9iV0yryO7/0qQId+bu+Gdoz9cA3Zfb0W+nrRxguSGzT+5plL9wk3zygbWWAHdBVolsZccIEIMj6kzeZ1W3dGBoNLN/ofeXgA9RXCaNvS0Uq1FfRfDUBrP7HeV8TQCnQ9YLFigreYeB8sQAr466W7YUTQ3inGE35E1GX4fen0Vwi3q8+IJtriH8C9UJMlpNns2f26jzXy5zO+jKI8PiuxsjcFZayFRP3UNn9ll9sEgRq7Be09JNeOKLfPsL8Ki7tNOMovy5A1np960/f92b4FbN1fO/H+e3yG/ftj/27r7R2LQ76HxtYFEfZtj2sGtMKdKG3JmRCOflf320BDvaSwOClFGqOpzeW1vmZHFhj02diLFMk8GNgG7eWJylbNPwZrfwDPOmfBtL/RaPA1AgH0uWUKCCKQMhHxNWpvnYIluMESKW3JSbtWF7GUngSNLRqtBWhE/MZH5j2Ddr4BuBGeakX5BDTthuDvz3UPW0/Wmh929xOFvttHQzmzRvv+bGwwTwgDAEsMR//1+iUFpMiPLsh+x38vWHJeIe3+fe+0UUQmAtbjqX7f7vOJHgsUigoW8L0QDwgLt+Ybmr/NIL3WYjvv2XRmU0NwqXLJy7ZCc3Bf6G0SYnTLApTs56PFJpXXUockdyx0hA3WS8trirs23YcWP3po4Cy4wdZroq/2cY7lJbK30ddviA2qCW06YyLtsJY53zNG+5147fUcB+ErizkmFlnqRDVmUmf9+jyWxW2REIAGRZn9Wdk6z4p8T3QZcwXC/4+3f+vRZEuyA7Fle293/y4RkddTVV2nq6+kZpocQqAoCZoH6WH0Q/SkP8A3PvKJv2H0pH8gQRgIECAJI4xAiiOJwox4GWL6Ul3VXXVueTIzIr6L+76YHpbZdv8yT5MtVIMOxMmTGRH+ue+LbbNly5bBtCy9f7TPt0KNKuwgb19ztuZ7ltTmqA1A2fG5l/uAm3Zd22frwMy6rhAArQHfPR2hyhIhn59gNmp8WtcobfXtCzuoz0WHHuh56Qufn/TiumPgqVEh2c/2da2TwchpX8tAPLZRINv9dLMWFkXZKJVvGSRQUIxrNLvfbse0jVzTLubp504A12nzUtCkQAS8BRNbQ5rvYC26JK/rS7ef7zaxC+BpnwuP4X4gFfWD128c5LaHI6JVdcuSe1ZKjGKs+2Ft3QAAQVD242qYFF0cKs6K4YlZheXVDpoC0qUgXAqzuIb01120Fw2Q+7FngLszIkQFWxIsd2zSDKDTIfIDF3jdUyUMRZCeYnckpXFRev2W96CKrh6pa9Bbj6NRp+n4tD1reUJu2H17wU3tJtDr1kJuPCQnUmZiVsgJN0qIszCwHC4UiPj0sCCyxgypOz2hKMJTZRC/j5bdE+gQEJeGw7f2u+5xVZ4sLQnafTTl59bRWykNrojpbSVc+Ek2Ag+hAOkpM4AyZ3d5OSIfzOFot/s8nhcKc0ULEF28Rpmhl1yB2hBLhe4ntHgHMQVKFYoLLHc01nd/wdqnyxehI5O9mfgVnZ7sAhKsX1udyzYIxIL4bXsU1DX61JQMqm3ofZpFunKyU+n54aQ2tiltQAxFPSa0KfR5XGmHbX1nEdzUgwpbl7CNFcwACfJdvGnj622wmtVl9F52ugl21RwsbA7GYjSUCtS8AVScFubOjWWYCThtsjmbIM2zNGRYtD630pwVEAx9J20oWquScuAecFpmKLrWu97Qgm3fmENwI1KFzfpSIH4S5HqNLEXPGp03y2LpYAyRavPQGteBCDBudAbs/i7W0vehMkhyZU3YQbgiCxtnLgBqGgY9+2fUSTrJKzjYRbssKzicAGqhrUCGbgTFiODS8R/O1qZrYT2aVEWYK0KuFIXyh68NN+rKMQKDtcIaB9bkpkgGwRbM82z0EFH3qTt1KoBEhQy3Xnm3J9XBBTWtBUFXcvZbB+lUUVctzncBZeJnOLjlc0A1T1kdGh9/cC90p95qtIcT7XidhHoRS2M9qXh7GGEw/sm6cvArXFm32abBxNYoWNTLRCqzOVBFGyPbn0VrCWPOgShtd3BxqE1JyA3jPwjaZJnnE8/Xejei7JMFOdbC7qkiVEf6ZQ1Gb0AZXc8Qte+7sNRCL7yNkWJ/m5KJkHXNKpvT5syO+Jy537eBvwEfLTGbL7neijC61oDb+yqIqlY/H6y+VDqzY6gCvdC5m77XXqYjCgznhnTZrl9r+beLCMuOz93ICpMNY6HuE4alYbiUleERaGubCUs1A9/dofZ1VwObIJYdPWP+vimtFsvg7wKAAfHaMH6kGmpKglYE0wcG1+UYcX1J21d2HFe3dzdUUc/+WcDvwXIdrRVMIAV1274sCKDmCLdeC0qbka5K2l8Bdt9dEc4L2mFE3Q8dPIUA1em5J2bG41wx2P3yYfVNwol9QjlOguWeY5yu6BoiLhjpgXy6WNZ1G5Tbs6fZNATmhrAo6p410GK+SWfQKBlGxVpdOZOpDmKsBto+7r2IXhds/mGZpJ93rlsBEbbBWhpqCig77tfd9xVxbpYgMdXrczEKOdtW1n2wtk+RPpkp84fCFpNxrpAvqNmSqtG7g6zZM3jA4EAwekLDxdTSVTG9z2hRML8e0A7AbjcgDdROCOeMuKnJzfeCMdPvGT8Cx19JZwm0KCh7RXmoEBW0DyNQgXhlHez+G9JDy44Ba9kB+QVtyv4bQbxGDM/aWwLWHSxjGKBBsbwpCPcZ87JDPvLsjxfu3+WFb0RhayQB8uuNjcgB4eWCu9++oKog50TzdSQ4Nl+PGJ4D220aOBJn6S2f6uTnAoBkYljGppMWML8StC8vmGvAu2lEvCQMJ3Q6uMWDXJbBWAnKulOIQp4S8KcPCBXY4/YaPyhe/Ann4PnLka2xrrRfvtbbqHj8A/7/8ATsv90A/YlshJaA+W3D9QtAJwb6cg44/rphuCiuL+nv1okZZzTS2TUo8r2ivsnQ7wfSmpsBg4Vt5uKsa9ZVLHr3AF+A/KDA2xmlCrLTv5/JAvU2TGFeqcuDqTKHRRCF920vCltjDRWqgpLIBEQDwhwQl1Xwa3mhvd43LLaejCqug9r+xprAiYK6/ADy9wPXbxzkaqTgCQxBEhOJ0sRDtJlxva1bsMPespvqEu9RV8d+pNEMObDPrTtRXncYTQI9unOzrXcQ68lJZ5DiHOgtP6oHuLuKcChoOaB68+/ZnstikU5pboAWQLBB6IUOMkR6Bonqn7aZrpxBHSLRjGDZ0K1DZ393ZDMasgphnYNY4OpoqtOOuqqx0hlWq11zmluzF/AAQM25inO7dcbtcPFxu0F0Pr1kM87+T1unyfuMWjbnNtum2CKMdHgrFPHzLJZlQ+DBRoodOd06s22gxkC6EuVZroaKphXd7si/1TCnK0VTemuq7Ue7I+hUtE+yjQgWgDposW1r5Vkvy9B5ffnKArBM87QefBAehNqU6F1fE+LD3bM2GokWM2iVVU3bsYpROp3dnUNH39hPmM5k/wyvb/E/gy1GOEjxQ/k1u4IAGev4+JwFG7Nmgkrb4WsKwMQYmrXjWhpCAkKhIIE7dVtaOx8WtwGHo+ce5G7Bn6ZdLffmsn3Sg3NVBrMAHJjYUomlNgtAP3l32/td3AS4zUYEULzOT17/nT4Qm3Vie5D4pq5rx7Lt63NjZV8IrNekgRfbclqrL6f4zEpPdnXd4CrG/64MM7AGnpYF85r5bb0dbZ4YcyDc7iVZA8R+WV2Q2lrTJmvLuU+ypd7ux1F3ikxtAvsNO0HFUW6s37uZL3uk+nkGYctu8CDHMy/aQP2HjT5Az3ZaHb0/qzSQlo+wZjY9q2JXGwRhiB0gcnZJb7/mImSbDHZ/TnFbvcm2bm2xr8dqe9YAkl728ANXB1b83Xztj6w7XlH1NVheWQ/ixx/HwqjLa5/YDVsFIFqv62c588nb9XR7CCBY+wjaRundyLSStjuc1uwBgK7k/ynApMq56VlcVWzVlXkeWomK6qpybsDkDWgSbD78M3xOLRhcb8rAJfQSG9blwd6hU9RNwMhLEQhC8v4rPR89uN0KUa3PD6uLVFC51s87oyc2ZzCsXQ48eHWRMzFAGUsGDuOaefRls2E9dNtZeY70ulXVrnzPm27+pMnv470dK6cXO2jAtbSOkbN+OmOmB8HaWWDuJzjF9Sbb7duobvc1uvhXi5vnMRvr/s82o96f1ztMhPiZ3+AJgK6FEWAMRD9PDGRd2spCsv1PNpasR4Vlk11h2v0X/5NArXYMlUBMoL0GILWu5xpsrq1ljCzr3lnXtX01dMFCKb6OrCRuk6mto3amUN+LlgV11kA5WDA4NYSoPThZSxqwgjamSIyobBMUQH2JBoRY8fp4xlwSHsFMsyv0Ph8IEtXJ/IwbZ0Bu5k+xng0trWVcaazQ1lAOpOenq4GDzYVosd7T9z+dMgsWOS91t+4pX9shW+Z5gPVF50sTSDFQZeIHpJNYSQxtSj/vRbqgk5omizQmmOKlQe7Dzbrh9zdboD8vv4KBJ6smBPr+dJ2K0FX2FdNUUEtgviOYonzx+4kxlta95f6pmNGW2NgSSIWJCU92OVvQALs+NwPXnvi5HGExId/bS/DcNv4wD+3z6zcOcsN5BoQoEkSg0wikiLaz3qAmRuIKg3UKmF9GaxmAW8NXgtVJoNcW1V1A3Y1wxdLt4f5p79AWrbYlMstXd1yAxRS/iMSawluwRbcYR+EhMwD2RZMDkAM0RpwXIkTTB6JpjozXKUBlgFTF+MGcSKft+oaOYmOxOt7MUHAmh7MFwp8cAqLA+Mx/c+pbnBvitaDuEvIx9TFDxgoAqFIQBrbRMvq4x7lheCTC5NnZfKRqabw2pHPhoTMGtBS5IBOD1WCqgi425ZkH8YWuQD0OXJBWoxLmhukRiNeGeMk8cDYZ7bZL/Nlcb1dsFGhkjwA9TNAYu3Gvx0gUdie9PpmHhPZ2KcZCIvI7bxyMxjFM52p0Gvb0HT5mxLkiPF8J0gCQcbw1GPMCpB3FdIDVcbIeoe4QNKvBamNEfohEOdPqnDerz06GqnX68ZSAidG5Czk1gQXWPNzaGJAPBFGyKW66cnYbV/SyHGgUezBg/eR4U3ufxjlj3RuN7PDM/18KEMeA4eyGVQGjeSEq1M4iFIqFuXr4p4HKp+JdFGOp/F2Rvn8puiSQSgRYXDnZ2BpczLKKESmAYq1bhGsbwfaJAyTiDqI5me6ghhWJvykzAND7AccIPRj4Urh2e5AX3QPa/Lw7fJYt3fbCFROPwcbJ5zso+8ranHirFbV+0G2MrAu1AIBnOA/veOW6dmclVKxtacyRSVftaqDxwjo0aczGoVT2uA1CleSNU9SpqMGEdyLHQRZK3RCwszY+VovKFm0rXf4GGFDPWtq8Lg04ZyAF1MPQ58Mp+Bo5n+XA+3tgWw6G4lq/QBV0dc82uoYBm87zPXigxkvotU5hQUfzvS5fGjNFGnZ9bUljrz/JltmvBtzG1XZx4Yo52UqRRI2QssnOBxffa3ARQ4KsFBmSYu2lFAyIfd4d/PD7Nz53uR/pIBoTQnV1cuoUWQvt1FPPmgfpyt1dhKdxDwt07U3sW2AuvRVeOdq8RAISzoTgniV7KZyXtV2U9b13arvbhDZGK8sw9eLm+0C4HjqPWxCGNWANC7cgVcuZFRwurWdyPTgOViscDVR2mxE/XiCPJ6A1aKnQjVp+elwQWoK0hnacsLwZOyPDWVadVVIUZR+w3HENxCufJ98L8h1Bp/GjdqZYg1ipAPf3/Ga6edZyjFheJuS9sD4Ra5Bf9gRtqiuWRmZsXcEWANqOAH0PUIS9JSUo2vOAcGaWpI4EolzRNszWlhCw+wbMb/eI91PXRPGa5u3VwWWbi04XhvYa92qtRKQqdu/Wz9gqOnfn3fZMsHv0f2tuw8haK4eAZSTYP55MiM1KsfI+dbEb7y88PDErrw8J3mVKrVf08Fw4nztve0jgLs2K6T3fd3mRLAEDS1Qo9t+yLVbMxlC0gLjuAvL93sYEHQRg9trGCGBHEVjWf0ffpb+nzUUw9fS6XxMyq6pzWzVh7CrHBGpCOMCg1srt88xWPtIWktpvAmWemUwURgIi19yuQXdAvWvIDZCaUPabIHuiL+G2SSMw30mvpXbwtRxon8PHBP1+QFyA82+JndW8R35VEY4ZbYmQa4SKMtgtgvRIGvQyjcivqGSQQoOK4jAtGELD7g8K5p8l6GWEvNvR//zxzL65/3qPu79omF8yBvAElxTcAKXL8wgsAYevgrWIsjXjQVsE6qGx5vzZWio1QcvsYDC/4s/XHf2reBXEi+D8I8Hliz3VmX9SIPsKfBwwPFGduNzT5odrQCgcx3KwAHyvkCKY3jEQrMbOUxMNS8/c17gLDK5NNTtejCpsekL3fxbQ/mLq4C99Y9qQ5V6Ae9b6Hn+tmB+A809sDq2cEVVQqyA/jxi+43qr9w11UgzfR6STYPoI7N41lJ3g9KWgTtp9I2kCfBwgmYJpUgTJWhl+VikTVzsmWMW0ACAUQfo1z9uWgOffkT4/9frJjf6K6zcOciVn1r0A7JM7JMD73W4RUcts1V1g365hnUA2krf7NU7I/jse8G1ipoD0WPTsR88qbgAcDU5BA8od6RVtYhq8JUCnxsOiGoUWIF99VIwmcx1jQxTF6TKiXAdUBfI9nZJ09Q1DB8opLiHTmeBMONrp0YRYCxjpdV9Ou5amEHMWHCVvA53bgIZ0WScUoLMU5mL0yg29gSoRHT3uGd3Mw6JOpF3JVRHOFuQOdMZwSD17lp4XNGtnwsApkKG4MJDZZhtXym3tDmq19hcRoMNvbRS8JZCo9uxk3SW0XUS41u6c9FsPca1X3IimSOOhXyaTSbegsUVD3+oa6GzpiZ6pJlKlbPOASOSosv2FnGc6qj5vKeFGdTYXYBCqL9fGnwtu7Fe6paaAuo+oY0DeWx3hdIv0RRdU0TUwdDQ41AZ1YbaN4qk0fhYpyf7+dJK8fQSNLQ2zRgUGPqOkhpTM+TcjVEug0t0S0DIFG4IpWZYd11DIDIIhgFaCQlS/VajV70ixbDvA9RE24+HrZZM1CqaI3oYIjIbYLqviIYM2o/9aTQYAywDKJqNLurFEQQ0cZylUo12zo5vxNTS2r2ERYKP63K+w7tn+flWxKsS2NYvcbCzMketBgL3jp4HtusDVEM26MmC8d20A20MNJlNkdE7PuAMryu97MFRdhSDscmddMgOLXqdpmXbUCoTEPrkh3j6bB/MerOgatPdaVQvIXODP1+SnavVb1VLvZyxqFLd9ugH3PCtRJ987RlkK7Afoe76a898mR8Rtne8qhp1D0YLWAsrjQFEuIiurPQwEClZQz9FljltqZJrIkiFLZv9fL8EZYl8nfHAbT1jwtV1XqoDXHy5OiWUKxen3/UexnpNOuZYqEKsbLRasemsgCtIFeP0SIF08y+nKCukUy7isWWmrOljbOhl9uPcsBiCHtNJcwdeSKD2Aduo7lkxtjrgJ/jfZeYIlHIOb1WFgUDS7wnMIPcPktjwsTmFlGYOfbWsdviLMBeGRLSVkMpr0+Qo9W5sJbaD8sO2Z80zQDkBLAfkhUoDpsdywSHpAvYMp5KJnSsuO/SQ1UOnVn92BqXht5u9Q5Gl8rAhFke8FyzEw0Bislt5EjwhcbthmCWj7umZVAQz3M14/nJFrwOlCSeLjfsaYKt6lI3KYoIunodEzwmNdgQfWFivKXVy7QCiQcrOWU2a/3H/xIFfRs/qqMHDLNUToC3lP2ny0c8rWMpqtgZ5JUgQrnhWzYV0ACsDyELHcCYaTYnzybhoOnAjKLnTbES0QlaIIh9iDVTVwJhjgQPAcCEm57LMimehfOURrlWXzvDSWzylWX9b2TxsD5nsKZrL8Sfo7bOvigzHbivkCXvrmvok0ABbELrrRG1Da8PGRHTyqBcjARqCr6ibzdlvy0bfYpKhimToxoM38ZF/Lw5OQ3rpnABrvM7QB+YmHjjMoRM2Xh/ZMcDkAywMVlIfHzQeLIl3YuqYNwPxSgeC2WyGHgmEqWFSYUFLAOcLxStX0ZQmoLiolihgUu1SwTxl/+PAdfmv3Ef/83e/hz/7yS0AFh59d8PpwwTdhj/13GRoGxCV0Crg07oVi2UC5RoSLJa/OliRI6xhqADPSkcFFyGT4SPF357u0Q+PPICJko4C/zYi7ip+8fsTDOOMXx1e4ftgBQSFDg5YAuZgqtWd8JyblwqwYnglI1ckyzxNQDKjtAqNWRgGgZ/qdwXf4piIuiuur2AXBSGUGliM/7/Ct4u7nJ4TfOeD807hmfT3LqwKZA6b31vropQJjQygRwxkYHxWHrzOubwd8uCc4IvMq+hkvAeki2H3DtR5Mnd+Fe+tI4TNgBRa6jfFlVMDyjgKcfkuwvPYzDGjXv14u9zcXnoJtMKcgOaI9Rqj1fWtx7UXm1AV3zL143BtSpzOAxj5q3mAd4ETjjn/34Jb3kX7QedNzd47qjlnbNjLlP7yYEWJDyQmtCl6+OONnLz+gtIBzHtFUMKWCAMVXeo/nQrXQYk2vy56fxSyJB7l8nnJMiOZou5PgdWzeZy6acqU20prFs3bu9FsNmosMRevL13vq7iI0EHWNc+uL4oY+Y4F3p7yY6EUDEe78+rD+jh8QVxrlZhmK9Jx/0GAC+ExVk58p3YcEwIbkTaFWY0kHXqDC7I232ggLA4b6YmfUB2YVXI3YEV9EWK0ipflDVuQlYLHDNh/8gwGvW+rBLdCzX94vrx941ttUowDjwHfeiKXolu63DY7s5zQySBNhn2dYw/NyCFS5NqXuYoc9bIxCZiDJrFtEu2xAigUQqwFVC3rc8W2D0ZSHVWmzHJXGeVK0HY2tTBUxNRwPMw7TgiiKwYpUg5A+cskDlhLxfJ6QzyOqBJRZEIOwdWr1wzSsCpVV2e/anIaeBbLsds/kfgooN0A4UHAhIakNYoqgGgQCYYBvzoJY7UbPfFo94I2wjtO6i7JNhtHfOOeW6VnWfXJjRD1jCcAzrqSiwlCa2+cnP4xBnmeKwlK7wrhnMNsQIaGh9wJtm1Zn7jR6aykwMGAWt5ngjWXD3Oibw+XBTWexiCH5Hgh80p+3O3x5/XwNYWXo1QpxMGIbg+cCDAO6IvRS1meOa4a5ThF1zzVZzGFa7sRabdCur7U6gmhlHlQpTuveMZCg07cBbEUBy3G1523QTtFEYjZLomJ3XDAOBYdpwcM4o0FQWkCuEd+mO+Q5IT8nqEQEd/aydAdREphpzYpoa6sNka1CQuD6NrqrAKRYqFCF3YPdceAYVe1rvVN63Uk2QSOYc83PCX1PuOCKlLbGyZs/nfXjdcO0mbf2eBv8eQ8IPytW9Wh0ELaN5gI48GpBrjT2S9+ypYJltjUF6BjQgiDsRr7bboCOie9v/WljXss3vKTB1z56sGPzP0oHG5LVlQUv0THBHQKUFsB/EuSK1zQ7C6Hv7QakBBkmCBLwwf55IuOGbTPCSlU1oZ6WuJYBQIW23GmJHmSwrQcnaH7J9TScYToHrC3rXQnEFI1NK6QHi+aYXl9z3+Q7ZWCyb5BDBYIiRoWI4nCYMQ0FL3ZXvNmdUFrA85FBbhBFMAGej1Exn0a0y8iaU6uLjReqMfdesrauViVsrsd6SB3IEFW0Ka7Ch6CjOpxazwa74vfwZICbr+3FwelNULvxSejgm8228QHQae/NMrQQqz1v3P8umDXN1USE+Dl1CLaXtWuGrHROB6QI1oasSGr6CsYkEfV2XfQtyXDiWq77gXvBAAydFYO1pOrv5qVmQfoZ4VnwOlFTAFgZJL3204RRpdKh5xgYULJQbZ0AdOiftX2nlgLkxYF7d/kkC5/pm4XMtTu/tvebOK5hBkIliyudIspRsUwVITWU+3qrIVLYO1caGQxMVvGbdee0eDXQgvNX9rT/w5MFlpl7LA8JC4Bxn/Hqi48oNeLpPLG9zDFgrgH7hyvGWDGGih8fnhBEMYaKIIqPeYevr/f4cNmjPlSgCZ6+vsMT7rALwPv/wUgmA8mJpkoOE/ICxkcgXaIFc/ShymGtjYaN2fAxGkCLzhZyHYxQQDZbZTni8BQwPAJhFkAGtCHhq+fX+CopYNlfVNoFsbnXyDkYn4D5BbC85NilKzA+N9SFIBJjD47h5ce0q11rBb7GyS5hEB4Q8wo0uaitx1p1B5x/FNDiEfnOWE6yZoZDFuSPE4bHgPQMhBHIj5GUZWXiZnkQPH85ohwsSfkUSPnO6HtaqrGw1DUDpCeg6o76SHWnqG8XDLuCtux7DbGXK9SJyZx6oI8bnwOm7wPq9XPmwg9dfyNBLoYEHRMzBpeZh/+YIEr02WtuXe24TasT0ymVws0/PNFoLPf8nWSy3y0aLcIWlyipPSz05+BpIj1Dozv/xmcfGsKh4KdvPmKXMj7OOywl4j/78r/H//rN/x2/LA/4333/P8apjtjHjCQVS4u4XEboVFHvBDoE5NOaVWPhPrOKMgDhPiKOAeNTRnzOdIatvqeOdGSkFQqU+MG/rbHaJTtMGOiGrEhPRJ7rRISxjBH5juJQvd3PuMkKN6CZQZWqJifOYFIC6bnXV9zF/vPp3JAuFpSObCmRPlwhraHeTaTRAmtA4U7Vdn25Q++BxQ+0T9EQoFPE8mpEHQOm9xnxeUHdD8gPJNgP58IsmFGvg2eAYRnNIBg/Lgi5YXk1QVpC2UnvMRZnHgxO13QFZmmkMqVLRbhmCseURN9LQadoAjN13s4HuG05YUJTADod3A9GrYAoDW0bSGurowlKDMDyYFknQaeXsmhfEHLEmGQ9vGTtE+1Z3Dqy1USZjMo28ZBpk1JW/lAQp4q7/cKDIFWMqeDvvPoaP9196K8QoIjSkDXi3XKHSx3w33/8Al/LPXJMKJkZl3SiSmHZK+ogGC4wRUbtPaFlzpCZ9dLdUbZrW4vd/9+VtycGOCFXiNNW9ywIEWsPsdYLxpUZ7DS5zHZPdPQNDDInvqvOKnomq7crGwwl90wm0OlddJhbD6hvMq9Wk6i9FnF1UknVtkDAKLxqXxQyUmbhSl0/NwRmsIU2BVGgRiX2PeLqtmuNGNcdNQXUemoDQ2F7sD6/VTE8mqCb7c/e0gq2zqMYbbmiC05tQDLNBbBAUCp/V4cEPQ5k6FirmboPyEeKnzl7ZnlpzIKJipjp5DWJDihYkLtjawqOibE1LHD3rGSdeE4sDxbcjpbV2jXE+4wQK477BUOq+IOX7/Cj6QkP6YoX6YymAec24toG/Jv9T/DhusdX4z0ydpDKnpVhEaTLJjulQBIGAQCgY0BNATIScAqXgvB8IWghzmig7UNYW4IxM4pepiNVIVDSu3fmMFXt1HsXeWqDAX9ZVwqu1YXXiZm2+LxASkN+tWepRQbC2YSTNgwH3tj2i7b+bzdgS8NNKY0LLaWTIOYZkitiB2VW2y+5oh3YZoZiZiMkBbQdSzTiXCGnvDIUABMvswXpDInqCu+sKfUWPRD0MolgrXq2AE68shzAz5huZ5xp4ICJB+dNISlB7w43dGWdEpr1WXSxJTqxgQyy0XUP+JXvLKidmLHQoRnYAcuUcz40UfwlLoJ4ZQAINQf0IOvzqQVHlZ91/YJtMvRQEMeG437B6+MZTQVzSYih4e++/gq/s/8eg1QMYQ1mmgZ8s9zj0kbcDTMe9zv85fACzx8GaOU6j6b4OjyvQVSvnzMQz3tIt5iMeluZsd4n9tVdGHSF3HqJyfXtgLYLFES61B40u65D71Rhc95bw/XaVAvURkHeSwfxVvYan4s03pWltv82Y/hoLY/uzM/ax/Vzrtrr3AH0swKwIPiqiL4ODUx28MlLodIV1FUJAI5DD+YdaF0DWs5purL8oO4S6jF0X1UDSE0/UDxwfOJ51SLggnR1FOzeN0zv6+1zngsTIe5/eUmMvZMLsZZjQjoVpA+2Lu2KC3VL4qJYXgiubyz7uGsQFUzfRoQTBd12HxTntwHL2wiNiviS/sT93QVfHE/441//CId/tgca8Pi3GtpDgZwS0plU1Xrk/MezZT0HRRmB8ZFtawBSslluwrZgD2+f8L/63f8Hvi93+Kff/wEuZcCXxw94OVzw/XLE9/MBL8cL/pP7X2EIBR/LAZc64F98/zP8xbevIKHh+PaM+Tpg+DcHjB+Ay48UH/6ThvgUsP/WASnOw1AI9u0/KHbvKtooOP04ouzXPR6vYu3lgN23xm7bw3rnAm3fIIuwjVlX3eY7Th9pI+LsZVFcd/meAFY6C3bvCDhcfkRAK10Fu3eN5Y9TQ8ssFRs/lBvhRbSAfC94/rJBp4ZwCaZxYrZEgTYRsG0TQbc68csVlQlMCfJdQx0Fly/Yis1p7HXPZwszML6LGD8IpsdGfaOdUaUDA9Q6EdwDDEBrrFOOszGtEv3V5QHwXuGM82gjyx6YX1fovuGnv/Ueb/Zn/MvvfxfpbADPzGe5vrFM9n1DOGaEDzvc/VKhG8HBf9f1mwe524yfCOnKVpN004JFiQRB1+ytJqAlc14s2C0H6Sl8d3rUgxF7p9uaL8AL33s94sAC+V6LODZEo2sGUbzakcL0Il3w1AZkTfhifMK+TngsO8x1whgq7u8uOF0mzJcIDdq5/E4p8to+L552WljPapcGpGC1WLrSoMxxFRUgM53QDZkGNDFqsw9raQjZe/aBiGHRXve1dRCBNYCFZ6ywqjaG7lwYWuhG06jBInITpHThEc+eufNwQ112p2QNgJnZpOPP59zU9WyDCaduWuZOFL1erKOwliljz1mOjzMD1LMfur73Kuyi1Psyqkp/XD8wPONR2uow/UD95M1YmIKpB+/dkRMK9HTaraC3MmEGysVIgAajuQbPesnnVL4++ejZXK5x6ewEInkKiUTxxdD8GEi5D9IQoBikIkpDkIYIRYXgHEc0kLmQUkVNES3aXhwEzcYsWADA57D13amsRnFUvXEs1bMUW8ruhr7YL6dmWT3iD14bsYpVxMS+54Gcre3bmvZ1Pfl9AtZ1xqF1JL6tgJM7Xl16+5Pp8AyUO0/bbLDZvBv75OwAVdYcecbOL7+PZ7j8nztzwG3jus9dRMLrXf1P7wfJMbV32dCUJZf1M4cBXeFhS88UWSn7zlrwd8MnlzmzZc+Ds+yZZW2joo0NaBH5HuYwEtFvSRCsn3rzFnK+tlwlf4tO+/kwADo0yK5i2i2IsWFIFUOs2MeMfczYhYxBKhoUk9A5fTmyl+HH3Q55P0CXAM2k/XIfmcNtGaPPBMPU7HbAyliI67isc3hbs6ohWDBsYIoxUzp4APSAAAoE9bWon60tcRvc1nXm9q2L8Hwyj3wGufl3Zpb9no0xoVp9rvee/3Tugf5vtONY96prSyhZSKtQi9mIT9qZ3IC7pXkFyc1+UV/vwEoxDAaQtDU7Lpv+3P0KPs4EGjzDDmH9s2xQS4XbfypHd6Gjso4vQEfN17e3seilIP2ZI9rCNdDr+Tz42QRsDsS5MrRnIV0FVoMiDA3DWDCmgmADk2JFFEUKtON+DVJxCAuaCvIQkWrDY96hmmOtAwHYNgHOLHAdiFWohs+i/nwQMlnEMoRN1zMtWl/jtmEHOIvE156gizq5INVWrLLTv902R+0UUberDfz9tW7X1oGsQ9kGMWAlrCyI7eR227g+e//TWVNYv9f9i09ZPMbU8O97KYpUINq5J9XWZbndfw6ceGJkbSmz+ovNWTubX93adERBQ1hbbNr6YratAhmQKaL6AKRA38uueAGGQuZhS8BgQHkeNgMAW+de47k+PmDsgLnS9pX96juiENihWBDHAYrezo50I0VLpOhrYPKpJaC8ZK/ZGBp+Mb/B3BKSNEyxoLSIU5kwhIof75+wjxkNgtwS5pYwtwG1Baia+KGt35bs+QWrrxA5Vix1ZMxRDqZtscSbbKiXSgJrPNLFbL0S4wrEazDmj93bxsPXdq89tlihi0w5a0HNVvo6MHYrFKynvzL7yt7n/jyrmJY085FdKKyt7kr3MSP/v+6YTZcmyEdZSweceh61g8z8IAfTV/9juXOGKTrF3etmXSitq6gnoBiw179v80NmrUJaQJwZ56UTRX8/nk2cwJgtfjp0JpEC8SmgLROm7wW79wX1us1C/dXXb66ubG0COs10TxEqmanyJkrlspAbZPb6UBresudLt2NFvM+YzwltHFYRnMUmRDio3vDcHSP2D1OUgShM3SuWn2SEqaLlQGrArmJ/WDDEitwC5prwn779M/yt3ddYNOGfnv82ppDx9w8/x7lN+C/e/Q/xF88v8aPDE/7o5Vf446cv8K/PPyX11iY5GyU6LESdRe0ACMy6hoUZnnA12q+Ch6+hzRoj2j4xa3pqQG2IVdlfbWQLIgDdmYjXSuEDu6RQKh4AgmUC6j6xbYFuRV6qUTgVzURJ0gn9EBZVpKeM+DSjHQbU49BrsHwRiwKSK8J1gcaIupv6c3XwQS3zcMl0Xg8jNIYuJOOZNTc+IW9qVkpjBrehI6/9s91BD9Iz3HUabA4CN59lRlHQBWVcQY5okAlWVKv7DIHQZkCn5YXTFZILdD9BB4pcIRdIXVtOQHWtPU2RYA4AeI/A3c6ylGbgZUW76mEVxIECEgzpTGQ0hGIGbEuv2hysdSTVqewF+ch75nuFjg2YKoKJjqhNSAwNMTSUFnFuI17EC17EM4IodrIga8I5TmgquB+uuN+T8nYeE5oE5HtmF6bCFgLbnnxtjFTv1gSJslJyRdhSZUMzVwcPvMZ1S0lNq/J0mFcVct040MBqvNfFv7mXX0ZlDrV2+nkX4fBa4LnBFW97ULt4UGuDbu1GAEBm+6xpvPk8Zgk2lDDrd8x92ViDZfuGoN+mBZGzNgwYcGdcrd5X5fZwcUeIDrb0A9vZCn4gOz35Boi6VisdcW+9QU4XaGt08A88VLQ16Lan8ZCgOQOXAhlHYDf130dZA14vCSj7gOtbQTko8muKbEhQpKCodwGn+8SDe7ZejztzwJN0pfF4pSZBPkZko/i7omedlBmuqULGhuP9FV+++AgAmGtCEMUxLngRL9iFjGheQJSGCQV/ePgOeR8xhoI/i6/x9LxHPe2hgO0liq/Eq6LljSNtYFmYCym6MaI+7Pp4EzSo1mINvRZbLjO/J3s6s7uh1zy6yFLI9Yax4kJRCFi1LARr1tODiABbFBYAbETfbsopAKuTDt1+k0q/qbvtdrYyaLxs9oE484o1h/FpZkZ/ImNLvX2aAHWfIFPsWV73A5zav21TpEOgCFVVxLIQXKzM5HpmsYWVnbUGzfxPDGwx0SnRi+mBePnIznyPywK0RsbNywdgztDHp5tMLgAyz+YChIA0BGM22bm6Z11nOVgmweiOGhSYKoZdwTgVTEPG+Trhij30up533i/Urw7UimXXLGOY79EdYggw7TLe3p+45SwSOwwZg0V75zoiiGLQiBfpjC+H7xGhuI9XnNqEb+Z7vL/uGQTsq9XzkSo5fgwYTHQx7wl3uNpznQJpmB6IK0AZdHT/qxml3GtmvVuDNGO4WFDv5VLDc0VYGvJ9Qj4Ion1WD4qVjryXnHmXhBZ5pg6ninhtvVTHhRYhgnwfUY5bNGzN/G/blVE1m1owt8KInA9/F4iYRoz5Kx6QmtBeNZZdKASjQ64IFy+I5fO2Kd1kjF04sZeW2D3raOyA4/oMceF4uNict9Ar+7QpXQGQ1cpQKuL3J0guaA8HyJHRaT0MqGV1/o9fNxwuBelSkO8S5ncRy73g6feCdVzgz+UHY+Ic1GpQbepVcLpMOF9HtCo4f9m6+nJ8x567IQNtAcRqwNMz579rhewVy48LZKp49eoZ+6HgYbrikBa8ux7xX/z538VuKPjt+w94GDN+fX7AaRnx9978Gv/Zq3+Dp7rDn81f4FIHfMh7XOuApZIi0FSwzGQs5IeGZmzP9MR617JngDuc6EvMr4B8T/r3+cehi5VS7Jbv1f2rBIpECZAeI+IV2H8tuP+LgnwIOP2UuhEu1hRNL6CNguuPGtq+YXp9wTQWPD3ugacBbZEOcmgkyzTfBXh/3/ufc/1c3goub6xUrKAHuKGYyFSOSM+CuDFpKoyrNLC+GgCWNw3h1YzL0wCNA/dxsrVoyTkP/qUZlV7X+9Ud8PR7sCSVAio4/FowvV8p3nEBpvcEvR5/P2B+3ZgNP7nPRFPS3i44Plxx+uU9xseI4QQcvmbJw1O9x+n+gHT28lCsPmBlrPXiL5kp3393xfRn36EsZ/x1rr8ZujIAVKUgkmU3AQ7iNvu6ItQ0ZF0BdlCkVM2YcSA70rZBL9wgteR4tF0dPQUkNcRkdA4JFJIKDWIboqlgkIr7cMW7eoenukOQhmOYO0qaW0AQxSEsGJ0bbQiuC5SwjmNFGtfejeuXNAARHS3vTkQX5HJojt+TokAgtbj/nB042/rQ7qgDdDzDipz0DNY2OOgZL3ce17H1e92g8FYHSHEJr8dsq8DYLQi4PldrNnfSaRZdIVTXw7OPhb/7tvYVuM1IGG3TM4Hbg3RL5fT36evFMjBygzI7khX6ePQgZxvsOLV06/wD/Ls7b1Zr45TCLa2PN0dH5zUYiucedNDuyDqt64fGtGfnZXs/m09DBT2hxC/pjhEAZA2YW0IORHoDmBFotikd/RXRjhCrmJhP4vzcZJWMzdAQIFFtntoGRbx16jqdc/NvbPFj/+BCUp6lStopaX0YPYD8NKve52Qzj80CblCl+eb36+Zz+gNt5tyeY7s/OrrpWegGQCxbtwV6IGuguzkg/Hf57wKV9fO0mQ2z7JhnM3sdrmcWwkrh27IWOi3QgzKnc9tYiK/hzTNoa1RVTolZxj5m2/0WCLZs9kwfZzF19b5v+L2Oho8NaSxmQsxJGxsBwhhsL6x7uT+7mS+n8/eWcJs1iagIUZFCwxgrmgrOmSJYWQOyRkQlW6Fteom4TU+hYUwVITZ4Jy2NtEWftR7xfbzJZuJTW9OwnkENQPAMoPbxv7H5QAdZXOlaETZzR9vZW2+JwCmUN/Xc/mh1s5bt87sx+IQxsdo5vl//OwA02+Pewsio93x39HNlrSf3zJOtY3dEsJ4ttPkCQevv0muu43pW9XXvGe/u/Nmj9ZpMW7+fCHoxa7Kx2f7+rUFKvdEKQa3Y9j3v4+Y/b6CG06j7xwh6NqbbYhvUEBp2Q8Gch9UJ7Gv2k5/fzoXfN6CzcfiPQEoVh2FBbhFzSb3WFgCWlnBuIyZDt3ydBzRE+wKAanTVMFQ0CWzfoZvx7WsAq63oz21ZHZVub7bXllXFv0tfV1umCYCeYaJdWpWJO+jt54aDnSaKJCJmZw0YAtjtwX5/PTd9HdwOc/+cvrbsK278In9eC3b7Dfozuq8W1nIKb/UUha1U6mbPA5Axofm9fEp9TGw8dPO5Lo51c0Zu6N3++9tnu7laA4rV0Bf6IZoCdGPQ0rl19XEp2lWG+xhsfIs2otebQnk+hdjoV9iaamODSFizeb6OGnpWMRgzRgMQgqAERdhRaOrl/or7YcYuZYyh4B2OmOfBfJeApg1LjcglokEwCBkNs2Vx+TPm53gWV3me6sSSn7BIBxQ0YPU3dDP2CmCn0Cy9Zt3ZjzdZ0Z59Bdi+h6WCnszYZld9vloEBavGhmksuNvNOJ0nLnfBavcUZAFEJhXibFTfwFpaP3O8jt0ZoyHz7KZmwbpm27B57r7OFDE21GRZ1A7Wb+Zus05jWf9NbLzazoUj0etkt9d6Tjso3SA19DGCZfUJfjfAGZhwoJ7gZRtif8eeRbd3Y99sYDg1xEthwmkD5vy7rt88yFUloqoK0RF1ML7Dhg4TsnbkvuyElLYJROhTAxRYLgP0GpmCr5aVW4iSpKsrK7qFMhGeiYXWKibH3gTl44C8i0h3GdPD1RJwEUUCagtYSsQ///738G/HH+PL/Qf84e4b3McrqgZUDXg9nnA+DHh3PeLnH1/j+TpR/U2A5WWD3Al23wYKqmT07IyEW+e8jXGtZ/VxCuFmhWgKKC8of+4CVFDtdX5qqqcq6Kh/F0lwteJMJD6Y0ul2nHQIaJPTo6i02VHY/jMR5cUeEHSV2/KwA5QZq3haVrEpVWYO3PB/Slm2DICmgDqYwQ3cuMFEtCAJ3nRdXYxlCLaYV6cIQFdb7Y6UZXe2DjACs6GiXDMwykgwsaRO/+v0lU2A65m0447BfK6Qy8I2QrlA2iaTayIu6hm4WiFNuhPlbaG21A/2waSStxp1B6lBEQ3MIerXMqDW3sRp3T8Y1JkxlQKEa4CaoJiaQEo1Z6m2gCqK7+cjzmXEx2GPd/mIfcz48fCICsHXywM+LHu8nw84zSOWJVrAaKqvVXr9hrMm2KvMHPEkkMIaPGtdx7XRQRJaqU7/UmXNrQEFXd1bbAwD+rpyhXKgIcy349DFyABoBrqgT9gAX7rSRm9qyD1wMN5XM2G7ntnNVDvWGEhNtUwsXFFWlQGgr3t39IJs6rT5OV7nJyb8pP49BQMdE1O7BUak19gv91TTdKGxTluGHbZgvbQfvp7Zk0uG1ErnZ9MXFKrAOAIpQUuBlg11eaMiruMIiYF05iF11U6prDmPpwXhEqCvd1gmZimoLCuoPwJ2u4xSIkqOaFWAJUAWF49iyw7WxDWKDIplO4KJxV1IjypHWG0QX7xODSFWLCXiLx8fkGvE6Zm287SM+NP9W7zZnfDl7gOmUHAXZ2SN+PnlDT4uO/zq+QW+fzygLAkYlE7OhePHeiXOTd0FtOqHurIeVkdmoCzLp0NYA2G1MgOnb430NDRyn8RzRjwt2DIQ2j5ZBqexfjoaC8L3zcausg69wtWsfQ13wHdMPAc2Nalc9xXpE9X6aIJQFBWqdi/lnrCWUJ/adhVBO4yADmbfaNySt78yWqUL0fX2QUlW2qSda/2eQVAP9BPK/UCmyiH0LH4d16CjToI4m4KtZR8gQNuNkCFCrlS/Ri4r08bp1bV14AvttnxKU0BLA2RH5pSfE11gybf4DAyPrOnL99T4wByRM73CIVbkHCHXgDBzP9SR/kioVv92oN0en/kOdWKLw3wvvdY8FGaxj9OCP7h/h2+ud/iqPKCq4Gkmm2KuCSk0vBgveDOdMLeEKWRENHydX+C5TnjKE0YH+Q9AXhLqxwHxTOGs55/G3uM05rW0ok6hC2u68+7BsDOv0pk1vRos6xkDa+eTs3eYzZre566i2gaxXsb1JsB0gKGOAfkgGM6g8wqg3MUblXav0afTzn+Pi2U7b6LbTfBr7+Tq1QS8sfosm4Cb+wxsJWSOPQJtaj0ke89V+FE0Ip0adlWpP2OlZnWXel1wvDJpU0djYw1rkC3NKLtWJ8oMsTny1s0AzVgYxlKKc2WfXQMmRQG920MPEyAUyGqWiW49qgMOvzph/sM3eHw9Ih/JHCgHRf4iEzjMY88ixgvoQ+8jVIGXb5/w47snzDUh14ivPtyj/WqCFN6jHJUBpdFmw7L67tIMwFH+e3keMOeI97s9rmPCNfOeKTS8fiBz4evzHcdOFPe7Gd9e7/B/+O7vo2jAUiOCKH60e8Zv7Wb84vEV6pNFdQ1AVOy+uGA/LVhKQikB84cddn9JNe3lYd3P6avQg93OUtuQAlzduSWgPA/QYD1xFzIJHn9/7L12uz0R0wg68OyCApgDnv7yAU8KSBbELD27DAWmd/QR6k6xvFg1LFpid5g2cHylGItiYiy1+14gxdsx8Z3ileJUy4N2xhcAxKeIcj5guArGD9zfdeIZQuo1kO+A+TXXFNv9rHujjfRT4yzYf8OAe3kBXH7ke46+zfPvARoY4CI1AOGWzt2A8s2ED08D4lWQ7xT5CMyvOXZtMBZmJkARrxSthKKrwy8PgvnlgPGLhMPrCXW+Al/j33v9jQS5UirpQcMnt9vUc7UQVuEpq1PUqECyF1kipNjGbhYgWI86CnHwC7IiFs3pnpbOhpAvXwHIvWI/Zswl4nod1qRhC/j6+Q7fxwP2MePvHWYMUtAQ0BBwF2e8Gi/4+nyP7z7ckfZsHZp1R5Rd34deL9QNtyOH/tdkzZPB4LEfGjfjA9QdnRTN5qjmCjQTWxo24wgacB4ojiauzk2n51SjfwZBnuiYuMKqgIFub7+isFoP9jAMpQExUJofQLyWVUHXnafSiI7BAvYfqKVk6xevIeb3Q64WWKwUmW02k4eLbA4f7e1EsDmYtgi5Z4PUjOkWpf6sXs3WKoI5X7VZfbJ0engszACgVma8ti2EVNGrEt1B9ADN3mVFs22sDOFE8/WhkEhgh4EZVuTP0SvLoOinKQC7n++PUMDa3kGgxeiFTRACaW5VBac8IteI0iJyizimGYdAfstzGXEuI64lIeeEVq2Iww9+G2vvu6am0tWw1t6JBbxhlr4GATXKlmXqutgTVmfcKczRmQGfv6vXPW17aALo9GjA9p5Tkz8BXETtmTyoRqSykDvbFlQDYH1L5cD2TKOLpnnQEbSLZzmLgurIwmfbZHYhXjMuiAbe9O/xZfj3IfS6N2cGkOJP9e2y43N2lkj0faJdjdP3GEWiGiSXW5rydv3HQL2EWtcs7qc/kyI0RGZ6t+O6qcsUEUB38D7ncV6dhClV1Mp6Ka2hg5bwrJVgY6eqgRQrbZcHo9WdJ0d6jc0bFNXappQS0Z6pjvshHnDNifT7NGMfFxziggbB+/mA7y5HPF0mlDlBS+Bcej14z+Bxb9WBeyhkQfOslvCYipmCXmq03y0L52b8/HsOnCwZ7L08MfjbzjvQ90Jvt7dhUHR2gcLay63lAN2efeLr+z5xpdXbdlgrYAkRw10CdKAta66yrOjroytA29regki+JlD5JaJQMeq9A4p1ZXv48veMGIOr0EX1WsTqPI5+JtqZtQ1STbRNZkP0RXppxPpD9vOt2XpfH4IAa+wMgg6E+jv6oxaC7E6X1ahUSVV2Oyg1oto6D1bXva3xU6FTGRx8LUrF0/3qpPbsZxNMseL1cMJzMfqpAfOqgqXEzpDYRc7td/keURq+Xe5xqiOudSCdOTboUNBaQCsmhBPpKA7PFD8SY3F4lrOO0v0uR+XU7HAX/roU9oA/Dl1ZnZ0xXEEdSKdChtP9SAXuzHKszvDaTlFAr0n2kqxa44bt4/tjw2ax9d37h7s/4Gew/b0NbDMULEBnqdAKtmwzowTe6qoebqyDltbWPy0Bzc5tqdwXssGRnFYthSrtnqHv2cNk46gC15DpjDm3jwEExAOZIF7XHGajR2+AMPotm1IBO0O25ih8fEaZvsD1Dan3+aGh7RTDkX3o2jD0jJt3DAkLg/LjuODLwwecyoRzGfBdOqJeuEbyQ4PuGmoStBwQLyz76D7xJssZKkH5BuC6MGt7uowoS8Lhbsab4xm5Rrw/s4zk5f6Kw7DglEe8uxwQRbEfMqZYsA8LXiWWXkkWMkYqoJPixfGCn959xLUOmGvCL0qEO9F1xwzp9F4wPirqSNCnr8PNmowLkC4MFkNdk2heYjDfbRg1m7F2jQeva5YiGB6ZWW5JOzOnDVgp1F4GsGsUrrOypGrijSyFIajQ7ivCU0T6Cz7P/FpQBhvjDIj1jdekHBeb07Cs4lK+p1pcA8k6CYNTAaQEBNdX0NUWS2Uv8LgwwM1vCj/DBMbSA3UyyhLRSuj2r2fHFUjPHAsVG6ek0NF8qkU62OL05OmjlTFZO8H5NQPyNgo0JLTrXy98/ZtpIRQpsoFSET+cuRGHZGnpDd3OnLR04cvUuiqkciEJho9iqWnttZX8DEE1iflem7ZYc3OjSHgRtFRBfhzxbonQOUIuEYiKZc+WE/M4IMSGfxt+9Nm7pFCRQkWuEfWSKBG+uFO6OWSdwrRJzopyAsrd0A2tq/B5L1xvV+AGNlg2sWdbU4CmEd5DUFQBaxpOhb9V7Vij8PmUwXG6SA8Ob2jQrgTYH351UjQkOjgpdPabZwnY03FAuC6Q60xHLeyMhkZD2zMIAGtxxYL6ot3oA0C5GwGxpujBDogWe0AKQQcFeqZ3c4B5bzA/7FwG3etaoYBYW51QA0GRZW05AVfbNWoPSoPMC51Dz8K5A9gUWip0m+GqDWL1QIixiy9psv835d84K4YL65SGSRCsF2KtzFxqJFo7nASSaUyjydr3rLP7twYUAKux4De4V0JUFATWYTRBBpAl4XoZIUExTRkpNhymBZdxwIe4x7v5iKaCj8sec0l26NgUKgA3NGZstmIZgNXgKlb6snh2d0XQb5zg7jBuTgOs+2V7IrdkGbIIOqVKhoNug/8YoMK6vuD9HD1YCDz0mKWxFl0ASykmjr9kIJQCqJC+68mmKMAQN3QeJZixdZw7WyH2A4vRF624C6NtM3J1Itjlmdb+WbBgZhPctkhVxBZXYbU60RnmxrTPFBOmE2Hf4cC1clOK4M+8dfot+FUHrXy+Nmqccp0hsNpGB3P8Pj0YI3A2nBtCCQaECOJXI747v+R9o0KWgPTEetx4dfET1tOFRTHoun62UVrMQDpxb5e9nRWPCXMh48Oz11RuBsrjiOdzwrIkXEvCGCtejFc0CL49H3GeR9ZtLREognix4NuoUWr0SPMt1zkSA2dc7XyKKwDic2xAiHr9qQMgDpIA2PZAJmUfPXDlOqCWAwQd8LjZJ6XZ2amrNxbQg0lpXv+OdZ1uPd1mP+9iWIlzCOCWzl9ZwNCsFrMrk5tAmN/7c7qaMCixM76NVJH2vRCMot1py7acSG8jmFNHCyJMkRNq2bqM3j6o9wA2VXOqlQt0P/VnkdqAeeHeHQba9hAg48DvnfDZ5YCLlwx4EBOyIglVaFsUxIugNbPJQaHXiCfsoZeIYaE95w0tg7vn/49P2h1GFxqSQqVVgO8+v6Vi6lcf7vF/Wv4Il2XA9TLePKfb6FIjojR8CHt8e2X261opxvP+usfpOqK1gFr4pQP1TxIE0TJs+RBQK9kgzLoZCywD6braKQeh2whICwiFa2E4EexOFzHwHaYyDOgYoCZCFEwjobo9zhQLyw+pK1fHK32O1sEYCka2MWC2XrjecsvPx+HZlYw/qc0FoBPHtYv1gM/GTHPbnE223oaAFsDa+SGsgEdV6jy0AEji+16b9fxUBpljhIPTywt2e4hZ0eawCottxKXKYW1F1TuLBADJfUrpyuvM4NJ3bCmgvdyZPTItkUvutf1IAVIbO3KUtVBz+fI1NLI1Z8hAugTUCbjWHRCA6WPowVYogExgwDM2fPd8xLV8aftVscwJ2NvY2JAPHyOm91T7d4HAfKcWMHHMW7R7iuLyYYdL9+sU18uIX+kDag3Ic4Kq4HoZEWJDjA0pssxkSgWlBfzJ8xf48/AaKTTsf/qMy/OE8NUEZMHXv36J73b3FG4bClpl/19RoFoQV68RdaGYXH7Q7kuxhlitxlaQ542QngVpDtCEhUFavlNIE+wfFeMzwasM6+hR3I9YgQ3qwBAU7j6WAuNHBoDpCqSTdqCBthSdwZUHCxI9C21Z83wHXL8Awgwcf0WUh903QEB8UACsARdd77c8sA47HxU6NTsnGNB44iUugvGjmLAUny2dBPrO4xA7kp93bDRQDdivDMyhK8id7xt0svXTBDo2yMFKLy6JoMUp9tZ+ZW8idwt9B2/JCbX/XwkL/87rb0ZdOUboIGwf9HyCDAPw6oGiVNFQuChdTp4bTjq62Kw2N50pw81DzReIBVBprQNxZeGYAT1vAs/AAZUiSB8T8CGxAPpMo7K8DJQ1nxj0flUiHq8TWgtYloiUGv7jH32Nn+4fkYsFx9bXCqL0Bd3f3WbfYJsApMjU0YRhejN7QwiHCO+H22nOXgtYmgXJkeJVuSE9zQzGrjMzjOkFyjF1J9qbc0MFshTEXKFjQt2lPlaiWJ0Cd34aOupNsQQxul2wgLn1YFmHiDBn6PlKR2Ei7OrZOinWVmJMqHdcTvGUIaWh7gdIo2BDPcaeie4ZzyCIc8PwXA3dIYLKRuVOwVRzGkKvZ4Ew41L2nIc2OmIg3VjHOSDBeiqaYwRV0rxzIcXtciVS7dnYaYSmaLTUAugGplULdlJaA9wglvlaex7Ha7VsVYBGRR1pHEtGXzzeDzoUomveNmRbI+EZgeaqipsgl4efOedQtEqHpYGtmGQJUADn4wCZKuZdYqN7c5AUoLOm/LM1sf60a4Drdd0ONG3rFrdCVDS4/DzWhq89dL2djgcKgDnE26DRnXFzkG9aPZTGPrTqnyUdOEnXSvDHMsTeDccp8M3arhC9b73XY1QFzhxooUe/Cl4F2gcpjeI1alkb/55Iz8RxHFb6GNCgMRr11oNYWNZOEJcGXPwZ7ZWNTt8Go8MlE5kylL8lOkTl6GuQX6T2MEBO17WMwev8P6VAQwSsO2x0/gFALHDxgfPrfAUczKkVWphtlWHgupeRDlVpGJ4qwqRoMSIuwPEvBfW7xHYJDw1x5gEZFq73uNCJmMeIdGVTeR8P3QRAISvGR8/wUOl7/BjQTmLUbK6Xam254syMRr5G/HpOCFHx1VggwsyvNkGZI5AFYQ6IZ0GobrhtLXucbU40xXAE6dI4dwBFoWxOAa57SbSTbYiQ2mBEiU7HD2bbe0DsQlPWq9QpstWc+XhpkC0gxM3aywgU6ONEmjztpMRAxoBnVT+9nPUgAW2XeA6pUdyrkubeGICIlwzkZvvSA+LN/cxp39YfcvJWwcE6MrBvRTrt8tMOA2VHOm9XjzfQ0u1QXNBZXAx0DTBeLIObInQ/rnagVODpBMwz5ChrkDsM6HUVn1whV4TzAg0B7TAAln1UCSYKxD2VLsKEtWWF5BqAS0TMQDC1UAcE2whkUFV8+siAMB9Dz4yQnso2f/lecP2pIhwK5u/2yNfj5uFApXILGtAETyoYU0VtgqUkqAIxUo/0ch2QLwMXdLE1PjTUKAiVgJMmIN+ZrXel2Sv3Z7o2jI+Fc3OIHWxrBsxLCb1V2RYIWV5NmF/x5eoUu9JwyI09tSfagXhuQAqYH9i2xUHhULQrN4fcgAwsLxPyIfBnTtb/e7EezqdMxlrcYTHgP9i6r2PorQPDxn8MoohPFeFSOsBa9wPmN4G1ywY6xrkRqG88y5pS/KlFwXRpGD/mXn7HRAAD2eUuoO7o26arGhNKuo0BaMuvb+mDMXAwhoD9rN7UgLJkTJaC/HqP5UVCWJStEJfWqfp62KHtEgVCn67Q4lkR4PlnE0ISDCe18ilmI6VEaLQA6+pnM/+jh4o4VZw+7HGqB8hUMUwFZYmQHY2QmjjV9F7w8POG60vB6UtSasvLCgwN6d3A/rgRkH2BloD03YBQLBO8r6inhLPRjiVzjRVYycehYrhbUMeAu2lGbhHfPN9hKQlf3D/jH/z0l/hX3/0Ez7+cEGdBOo/QwLY084tMoOWFlTBMPPfKOSDMDH7za2Yj9ZG1oOXYoGNDKQEyE0RlO8X1zE5XUoPZVozn9/1FsP+udl9XEzoA64G+szrigt7Gy3303XeK8bRNQgHhG9qY66uIfGegTbL9KzBGCSvgrl8o5HdPWH59wBf/TUO6NHz8vQHLC9Kn60i9ALUMbbDSnOWlor7kTeJUUZfQ2ZAtAToohifB/S+MYWGtC9ljWLqwGAX7Vi0mFWB5CcyvXEiW67q9KIi7ijpHljHtKu5fXKAATmGHdrVe9hbk5iPHcX/iGVx2xgQJ1nt3U9Lw77r+hoJcQ4bHAbLfr5mx1tjX0rJyyVIRw3PoiG2zAnwuDDuoZDVQPaPkgidAP0xCVgR7aY/wWcPlP7hx0IUHizYBGjNqVYFT27FovQSU1PDr0wOWZhmuoN2hhwrCvPl8u7+aY9+zjht03v9sQyByvVWPNUS8180F0uMArD0S3eEYB1KrNpPag4UQoGirM7u5N9sFbKhtALz+UWHtbtT66Dp66c++yeDomBDuDlhVNe1zY4DGxsMURGD9dzXeGvf+3IZWskcc6Fgkd9r4u44iBa+vEelUnrLj/+d7ytEDG1Ssbr4UtxQ5p3SrGxg6PjdtbpQB8U0WxKc6pZ6ZWYMzBxK00z+p5KzQ7IqJwlqXTfBKtFw7NWz7/De0d0PEJHAeY+a9VsEMQ6gjKcPSLANTfDyJqM9V0CoRuhhJKXQhCfWF2oRZ3LIJds1hW0VK0IPvLiHvgalnhKxmGs4mcDGkwL0n0ejiP0RR9iHqQMw6N5wXUkkh4XNHXkAqvme+ba57pqoogoEe3sakz+Vmjdx8AbgRh/N7/0AMcfNzWJ2bnpEdw2bv28+Y489m58Go61zzdSe9x111Sg9jaTs0Ns8MrLRtbAKJnnn2E9rqa0tZqfcSgLBmQlSVgcM4EAwKVmftIj7dLqw2LlqWJc72jUCQJ2TWeVH1fO13Cqj1j1zHS8xmKbwm3GyAtTzBYo6Dbmx6k09sbkAJCTVZW5wt0ltW6vRnmUjfTx7pegbX7HqLQtakP29d5+O2hc0K0nxGwW9AF0WL6EGe99N16uXaDmid25U54JkwcB6ViurbtkNdxMpt/idrl/dW/t3LAbb2TxVqe5Y0ZBsH+F7Wzqrwtk8uKiVDRDVAzVvoQABJTnlde4s64Fkm6X2Wnb7ZRmZI6mjUzxtF0rAyQOzrBkALQvV7HbhenaIcI0Q+yfg5PTzb3g3o+7if306nF9zUHW6ZRr2FiH+5HQfMIb2l6N7Y92b3vQQ0DAgzlff9POA6DwZm2/TNEY+nXQcpAdbCD7GawyHdnjML5TaenyUWYMN9BJ9r8bOZ8/npWPG8CUDQVdDR9lMvK3O7bPZBg+unBHsAOzO7X8fPd8q0s998HG/aEwV04U/Zp6790UHXG/+HLJeeAXagtep6rlhWNCy6JiwMnNEokEIfp42hz3MbBOWYbuqEXQyT3RTo0Otm3/VgN9CeN2MEevuy4Vn6PGxLvACgpYBg/HevjZbC52+HCbIbOivDffGeZoWdJyPWmlOVXgMMH3+gBzehAPHdAB3ShuijvEdbBZ2Y9aOvVqwWuGvpnDluXpcrCuglgeAhE1qauN5kbJDYSHFdEqQJ2r4CAzdTuQ5oLeB5nCCiOF0m1BJx3TN0GVNlN4gBvRbY9xa8/Aqgrg7cH7c1f2HWrW0YmqgCL1vYiuBtqbe+b4anYGeRdk2Bsgfbi4rtC9N7qCbqVSdbw7quf2em1kmwHNf9AWBlceEzV/omyMzPI9IiyAen16/3cSXlTgW2BGK8Au0cKdg10na4cnbdKdpOUffMUAPoALy3fG32Pu4n9lJDGL360CBVEM725DmgBmWAOwdoAx6bpZeXAFSyOsYn7cwAHxdnecSrIt8JA/Tlhxyxz6/fvIXQkNAmNntvhwF4eaDhOC+Qa0YEEGJEMgrhOAYM53RD5Sg7Lg43VCLaZdUpWtBuaoS8lnM4M6NRdizw99R/D4p8InawDLKsix+gtPy4SbsH4KvLG3w1veRij+YK2qGTnkh3jLMffoo6bA4RoE90d6QCUO4GoHk/KmYv47XQObHG3u3Anm9hrojPbMWDKNCU0PaDOURhDdSEBrCj7nbw++ZCZo3tVmAJKfRMUzOaTTwXxNPM+hPLMrvj4sa2vJggx5HzamImROsD6+4C20V5y6Q2REDCWrvWa265UepAgMPFGNqwGgRswI3tXAGcz8sXgnKvKIcKvavAHDC+o2BZnNHFylZarfmt1u6jO3RDgk4jD8QrW06gNqDkNdu1XefHPXddqegquy5mIp6ZZ8Y4zuhOgEZBzCZAEVbHPV3XOkyAB5hnjJw2J+boBgDagPGZ2bFmvd7qYAdnEyQLfgD0AKidnRoe0eKItlOUVwtC2gBGgeqdWgXJ2gEEo08D6PXOvqb92QA6rpqI+BMhbEYN5p6S2jpNnmJOAtRwG0j2TOyaqZKive2JBxShrG2GZDBqrgEg2xpI/9y4oZ4DIJNh5mfeUEttjEUF3prE63j75RRPy0q7Ei3naptFtc9zYRYHbwSoR6sB0g1dybKGbETPPRIXron5lR0Ug65MBfVM+0qlcueoDoGujY+Dr2cx8EOEokgikPMVqAvXWGDZQL9qhd4dUB52CEtBOFM0qY+zi6tZizAokE4NMQoggbf93lg2sh7gw6URlJybURMFdc8+gCErvG7dyxd6be5VNw3v3c6h22ufAwCoJ0F5SqiTIj9E9tidKoOsJZCm3HDj/AC0P2VH5UwqSApSYasMjYIaIzQ3Pl9ds4kA4IKA3HeCtresRNObdS6qwAwgNmBk3a6OsbfUSc+534P2ZFVMrXe0U/GSIVX7Wuz16RtbLfmT1lExrHXlLrDGRoTrOaUWGJfKYDCFvhdWASrWJMtSyEjaDdAkyMeVNQRwHPMxrOcQ1nllRo7nfj7SfrFtCQHLcmTG0oG6sHCt0V5ywnUMaLbVqJ9gQnEhAFOCIgLHPaROfJ9S7Xvj6j8AxpriGk4NCHMxwDV0AUHYeeXAKlv/0MeIMwVk6k66s+clVKsKKc/pMm3AHHP8W5LOWEtnxe6bYKJzPMPTWTA+wQBdowNPdP7CU0Q+H2wCGTC0sWDaFZxkpO9SBeHK/akDf45lMlzjrigbF+1Oqu/Xuo/9vHY9lTWYCz2QlaKIyox/KGyH2MuPADQTa8oHE5c6BYwfORbRHNRQ188vezIsQlGgUJwuFDs3Ewi0mE3NMXEsCinITn2HrTvJzErHi2WTTM05znUVEWwNYQaGR/pW88uhl1f1s2RjJ0JRLHcB84vQbUa3QwIUK59ykNiDIRWg7hnglaOiHRjEjccFtQa0P9ljeCJY5SJeHXDYRejodrYi5Ma1mgKuv3Vgq793maw/EbTdiLYBgFsC2r31wB24hsIMTO/RAQAmHMTYlIo3/y0ACOZX9Msvv5WAuwVognil7WyjkBV5pzj/WGx9sfZ7es/zaTGRKynA9E0ku+FNgYy1B2z7uxk/efGE9+c9Pjy9BBqwf3PBj1884ZffvgJ+vUMbE96VQHD+eYAsAY+7HcpDxKvdBaff/YjrdUD56sDnA6i90AxpaYBco4EhinLH9b//KqCNwPWnGTI14CkhPUeCFBFAUAIRLoi06Q87nBTTh/X8OP04YH4pyC8s0RMUyILhxDG9vmHgWHfMaKIJ0vvE9ffM9XN9JXj6fWCrtj6+J52820VFB1/dbsZZkH4+Qirw/KWsQadYUDvLysrb1NaGzLK55YWg7AtQmblOV2B+o0ivr5jjBGlkCBKEIgAJBerebHYAdDDbnZkk0buCw8MV83WEzhNCEcRTgF6YSWetcOrik8sD98fhK8XDn1+RDwnzS4rpXl/R3xgfFfvvG+bXEeE/ekbKP1B78gPXbxzkfqoCq9abr7fk8Do0mA8oQJgpMS0VCFFB6pxYVned4E/L+NzgaFMito5O6BoUhbYiGD0L5ShD3dzH/A+PgtTao8gcbj621xo6CrKR7b55b0FfiMBaV9El+cOK/DoiDWt5fCuOtDr9SE5NCKsj/cmlIpvM1Er5u6kj9EAC5kTF9Zl8DhXSoaKO1PNV0GIAIjcFBQ58fszp3NQxrnUmcnsfuwhu0HlwwQkeYOiOkXYEeh1nDxjrTklTHBVhrGimAnyTZdsYg/WDQae//xufT2xMVrTbREqCYCvtD5HP5tzrQeENxxqdU62CgEZBqLYeJr2G26nsql1U6EY1eDNmPWth4mfsaCWoBYhQtLytIcO6vnwsxQ7dge9USugthPhhQBU6RTfZ7zWu6l/M3thYitCQQ1hP1AzL2Di8sqn1/Kzljo/fdjj9M7bv7Z/Xg2JSVql2bc77Zq3qJru+/dye+XXKsVFAvfWKMkbDVn25/7xfPTDVz7/Xkfu1js3ngYCUqRoqB7cHW1iztn0vCfqBqFGJesP3Bg/BriK6GbP+HFtWB/4a37uhN4fPfwdrINkvdxz9uZRrWgVIsyJeqRpLNVI6CiuarATnsFlv9v8uxEIRH0UogqZrX79tkNsfxSh+GgUx8plroUgaBmFJAtbfuWF+uJ2x7/vUO9i6fsYmkCwcM23a13LPcPb0xzp+PdNyM66f/NXPSe+Rbs+lwHpwbuaEtkvtc7SvO3G73vD55QCIz90GaAKALVPl03N9XZvS94uXzbgasgbWl1YXXvnsGbh3W2Iv3DpsanEHqwvbnMku9tPbvFiG7LOVvcl+iyrIbkIXxPTSEsXn86Bu07Zz5+9b3b/geozG5EoXBuz9wLezDLA1VdxO9NeGZ22hwCcJ5U7LBkCAOfLzyD6x7IpyHALsfLSzhFkpZvRr80iVtrdn6fw5Ntmom/PRWUlut1ww6QdsSPedbNyYkf+0B61YxszUfuNqq5yl09sF+XmNzfHq+hlNO9PI62vd5qzqtnTYV98FN9nG0MFOGyfbI9rWshm3X/35g+1/XYemuwcD17d39+jzKzB9EO1j31mAMCGhEQQso0JSwzBUCrVt7bjfS3iAuw91M1ed4WHaDemWTXXrwNqSCOhrxjVDO2jtPxcBWE22KFAOntFGX1f+JdXO3U3Ws8V1n7jAmp/fIRsVOyrCYG3lmthxzDmifykoOWKpFDCKWfp8UXNn1fO5VooNTqmiDiY4W4HOZFCb3M355uJxYRETesI6COrvw9XYQdqb83X9uwvh5oPpoqTtGl7Fm27sQAAkNWgTtvRpXrJhwPjQjApu+9fnTC0D6wrhFq94bBLndQ02We2WNHT676eXf18KqFdRpc+l64wg0t/uARxgCZzNmooKDM2OFwJiIfHvHYiz+/a1rqswljMInC1xs3aD25F1HP7/vX7zIPc6IxQ7/CyrK3VFk13sAtJIIStU0VNTTdQoiNeG0Wob5nsT4FAzlomGThVdEdMVKMtOukT8+LQGEgCNoRsZCrlQWXDbh6yOPHDc8VYxOl0RhNnlvBX10CBRIDVaw2hDIDfUN6es+OUb3UUdAPt7VdRdxPwqIV0Vu68bs67XTKq1CNouwXsqigiq1fX1oDQ3qytR1MNAtH/YiBS5IbIal3jKkIsh8OM6viimYHwcoWmlBPieD6aCWqfIJvBZICWxEflpZqYhBdLpsBpiHQID483hQGRYsDwQuXfaTrwIpg8MYOcX6CIZbXDKkh3aRnMsXiQ/VYSgwK4gvxSUJQAmCpLOoCPtTmxVikxdl9Xgiax9fyMFpGTJ0Jx5CqaEbQ2XZIsgt5cqa3sBzleK0EYBCIQAWZpl7ykK4o4PDQvHKpjjFqwOiGt+Y5T99LcxEDvwRmvlEBZ0B4sPuu4Bpz6VPb+hopDnRIZCNONjGWDPlmk3LEAzQoHGVQAoWgYgmPARndDQ0WenmvWrt3DSdU/7gzalyFSfA3NG/cwJ0hXbwzV30bBe374bbmmA7mxt/+1To2gORKit12a10VRrc0MIgQFwXNcJAPvsDK/PBUBADwSBvA7RtQNapN2hQ8RANt+tk7pFW5mtRY/dNADlTcZwyBSOWSyzYqrqtTd8l95+Y/p+Uwd92MHbCPk65Vy09U9tIHIVbgIiudtDLjPSvNzSxW0sKPITEa+FomDGMNEgGG2teDCq5vAD67poo9H/lLVv26sF3JanRFht+yfz6Ie41+BZG5MQtY89g0LtU6hDQ7lTxHPA8GTZwZODTegBgEZBY0TH9icLM9AaBeXIOu8YuH6kGLXXsq4igraJfQCuLUwu/76u6zUbzWBVLOvupR4hK2QpCC2gCdtZtcn+9DpvOwd8LQJAPU7oAnt5i9Khl8tIU4RzXtkMANlYwebJlPB1YMbZWTB1l9AeLIJVnnnLXTDxqM0ZaO/flbHNAWTGKJp9UWZKDKCsx4Z0lxmsXSMUAfVAG1MugvZs9dg+jk7Ddwq9KsL5uo6vrXttBJK5Z9cD2sV7pG0U9q1mDaVhOGdIU6T90OnX+3cbZxhgdmKmffUM4HAygTUvudmUpPham+8D1Vax2up4YXbJx8pVVwET1wQwnKSPZ52YSdZXGTI05BzxIR9Ye34TkIjV4Jm4TjTwRrhHQkQH8lWAkEA/wINyH6/Gnqvjx0xgY6LNaxNf4IYiacEThWL4LOlC9lI80y8coiCOFNvr7baMreFikWUfOyOmmtL2aLWlLsrnzIf1OT0DrF0A09lGABCH0AXMQm5Uir4fOqOEbcNMGwEb/87Ah/nV1o5jBfBAIaJ63PoMzIxBgeVthRyoE8AlqygloJYIDJxLqcLWh1HQRmNVndvqR5gwI8UXBelcEXKwmuc94rUiPa+iUz5voZCBIFdg+t5AA9N8CAv9vDqAtfGmieJU2pAZfJYlAiVwbRZg/MAk1fjIGtPrW8Hl9wrCNWD/jWD62JiJGxWxMlCWAQhjxTRlXC8jtFFk6pftJS4fd7j/y4B0USwfjvh+OmKM2oOb3d2MGBtOANoS0GrAzz+8ZrvEFjDPA8YPAeNH7p0FpOGmhwUKoM7Rkiecj5bNryhA+hApDqmADhY8RgUCUI7V9lBEqMLYOUjvFKCBok/loIhXalA4QCeNe7kc1kREvAhaJqKtkWD2099uePwjRTwB0/eW/Fu4tpwlkq7A7h2fq+zpI4pSNIv9dVe/TTY+4/AMDGcCDpcf0W9wunrZMxsrFdj9BffA8kI7lTx/2EEqW772S4EIoaZEA4JrgmTzuwxwbueEkwXOYirKw9sLjvsZH94f0d6Na/sxsxdSBMsL4OPv78iU2Fup18TvL/eCFgPSGaj/33vkecBf5/rNa3JrhVSjWqlCTJTEqVGf1rjRKHABIbrzo0BVlJYQd2uwts2I9AznpnaDDg1rL9KsK2Ilrsy4OhZ1J+yBOGwNIujcGAjmyIZWIkrxKsCODEuYo+UO2BahYd0WOupCZGKDivhVADS2Iyj7YAs99F6a0GaCJYzEOyVO0JG67pBtHBgPjNog2NL6vI4qbqicHkCJiXdpEiisRmrYIvlgyxQLfNrgQlf82ZArZM7AfmKfVtWe+fRWAf35etBih/OOm7sNQDDQoEGhAzO15b4Cu2bZVxomFyXQUYHUIFEhgTVumBo37yhrZtOzfz7XpQKZrTzWLJ2lHz9tlZICaZxbaL82dOnV7eWBRIrc+P0DFUFJAw4lgfXd2p+rsxIs5eoiRACsbvX28rXvTl60DI5oYJ9dC2g7W6D/aY7/6E4ZOkUcgQdxp4P6h34ay3sG2gNiGM1aLbs+wPrqii8fC+JsvSjWWi1bHwB60rC37dkEuFRToSMlRgmHCKnCjSJPTqv3mnPPLK2UaqzBtd/XRZoKIJniW5poPEMDGRiyBn43rVxyoWOd0B3rnkk2e+QtALboPnvcEc3Hdn488RJ1bSViAMR4t+C4n3G+jlhMGKxnKxKZHk571GCBVm0GKqrFAcJ16zTVXov2SYptm4VJpOTLJTMw2NahiwAmPOeAg6aAaqyaiHrDXOlg2mdryeq35o19E3QHxOs3pQFxk+lYsw4WqDlDwjJFoQKtWhbM16B/sGenXJAmMxvnSPI2E4RAcJMOIj0GF4GjqrOiISC48FiwcQYM4FoZNQRv/L1s/Pv5ttloDat9EXQmlNvzLvAWhUCB13V5vbX43jf7F8x6OZtKLfsfA6RVgiDO8BEBRnOiWzVFXLBeGDAWBAHRsmeg74Bcs2xs3TPQ7WyQzRIjoAm0SVH2up6LG+obhoZxYo/lFgO0KedgWOf3sxSu24RAu+BlJrKpSVz1OeSWseCidL69NwrSLjj0KUjge8DHHzDHOKILmbEGTyG2N5311anBTSHHbcqYf4Ri4nkGlPRMiQVR7jc5A0QDIBMgQ0NMDc11F+rmHQ1M61kl+zwNggbtZu4GcBP/odWPcLA45IZ4XqBDRN1Nff5dOGnLNPPSJKd59/pYs99hqdw7A0WfuCdX4AFG9fb2PXUAQmenmR2JnMbqzIxm5rV6gNv4A83OJgGa0j4GWwIuZNjLJhTAeLvQOvBrDnc5as+ASUNnD7ZJobu6sdMBbbEEwL5gf5ypeu1lRSo8/+PaomqbFfV9FEpDC9FIggbugP/ewYDJgeb1nPCxcuAwzqTOOgWe77wZz4H2syVZjwT7XbW2MGpL1kvD0lmRLjxgw11GCwkhJ6Rzg7RoYPqmzCYoYnSwVVCXgGsdIaeI8VExnBTpwvefXwmWV9ykQ6oYU8U8FlSJaCo4XZhKD8H8LHu/fKCNrhMwjEQgFqBnj3l22nMpKdast7az1c+bqJAdg9yW4q0vL6BgZ2RSptxXhBwpDOX+p+0DpNu9nBb7vSMDyvBqwf3dBR++ukf8ytv9GCD2Qnrt9vhEACbfw8oksZZGuJ2J6zkpSpsznBpBeK+lNSCt7lgKFS+C8ZFJv+U1BcFkjgjXAA1601UGCrY79bXlNcwKnmuJ44YmwOzGDdDU8OLugp/cPeEyj5ifByqa2/p04b46rcnIOq77HABLHBsBk/03/0FrcgdoZM2QHibUu4l1A7mYInA0BDnAUWoPgMJcEUpDOQ4o96ztibM5gn42qXYDFGcerMtDZD0iNhlVp4aID74afVZ6YDs+aQ9CIQy25CgdAdFGZEsqa4DiFdyIY6Bzb0atJQE2QhkQ0meYYaChrCNwfREZgF8YxJRDgJqqabq0rmqHKKhDonNlKD2pCuZIK1jvKO4UC3RnU6foBwYpIbwHnUYFomB5MUIexhU0ELDOw50NbBxLHzs/dHIFhZTlpqZVx8RgPEqngnrbFBdHqLtAB38gOlitxUCwFrQSKeP+8YE0Hn21IIwVg3moMdIgtibIS+oBIQCkVDGOBaVEzE3QEHufMhfyiYEqywAQ9hOD2YHPLbUyswusYMKQIHembBnkNhioDVBzeoKjIsL7bdBkrw/d9tGMl9pbJ9zyssAd6IHXTdAGggc9KPrUw7N5a9rXpitA9xLLvl4IUni9oUZB2dPAbhWVQ96IR7iqccRKw1QuuNYc6V0P1CaKfDB1TM/EeZsSP3w32axgbZwQxZxpRait09O81VawmnUNAh1ZL6hV11Y9TiPdBCnsryw9Y74Ncp0GvdLsFagmSlVbzw7CWQ1efyvS20W5WJB6+xgLxttglCOjcLZE9LEcrX7lvkFlDXKsiS4pXMkyTsJD++5wxf20IAbFJVHxcbkOUIR1jjK6gnuz9kdhKV0sCB6AmbCU5mJ2JaAjDK3drHO5zkCYblTEoWq1jcIAeJNxJMWJ6yMsdCrbFHsWqgeQtoa9VygMYHMQwjOzwQ7LZnWM3s6MN7N7YRv4yu0+yAzm0knQZqDmREeieGs6sZp53u+GRgULLtxhF2a+ojnBLrgmjXPgvNN0rhgeTaRqjOta9+eam51JDIBrsjpWCyQQQPYO0PeZDpG+Q6JS+PZyMaQ6BWgcbgIMD2aC9eLu6vJu23PtX6zTTus+EhOG8xZD3eZozw67PkbPcFnwX3bMZhDUoZMTZ74L2TdU+HS0XyYGA60w0hoOGYcp4wxgmSfWUF8JNLvgDmu612fvAMw2kN2MkcQAmUZmaPOtWn49DhiqIp0Kz8+ZoE7b0Z7XwwBg4PlqNZBtjP387MGxcB9O77kPp48VYeHZV03wx0t0is2jq0errBmfONs9rZ9rt6ueybD12DUdLjQW9fsRZWy0JQGQZVWG5fivtEkK8xgwaaUTzBhZ717LGI0fDQCw4DguSgBb6NBqYN012/LohtLNLNFyx4dPF8uMjrSH+RCQXu8gTbu4lTNf6iRoD07VN9ZHMhFK8T7DMBE4tb1sPx45IcFB9iSooEZBKAW6OXd8rZDiS4ZaS5t1bi1LPPBvafUPW7KA5m4DfnT7RnXscTSgRdj1oOwZdUwHtvMLid+vKliWBBFFHUkJ9TMDAMqO9dnRat5dtK37btj4BGZHuJ4CdBONLS8EKVhQameFnx8sZdoE7IXv+fQ7niVc2RhY6APrwNI2b4XjWe94BY7/Yk/14HMF7DOTiTOVAwPI9m7C04cR6TkimcqvZyShHIN8NM2Wne8PwdOHwypQ1QThKQFPgvyg2P/2E4apMAsZLPOorEm/fHcAoiIdM+JYsXyYEE5Uln7+g8Jeth8D4mJ+VxDk+wa8yBQrfD8iLILxUdjWznR+qHrO8SovK4aXVyxhZ74lVvE42+cdMHXbWSyJJsC8TPhwSkgfEkGHQO0ZjQaaXWkDnr8M67wsVOkuR8X4IZCyb3tcA4VZ66jwFll14hzFBkwfCPDmO6ovO6BG6rOd6W7fkgK7BkkN++OMEBTP3xwRn9YzqR4a7n/6hClVPJ52KDneVkQJy4WezjucrmQCDW8vyJcBtQ3WhYEZ5y21O1qZSt1zzJcXivpjtjAaPwjaDY3vr77+2kHuPM+Y57n//fHxkf8zDkBk2rgdRuT7AXFuGJ+t0foQV6fQnBKna8VrQZgzcDcg3wUaLqsH6NncuCIj3oi8jtaPbKbASUf/eh3DGrQ5hRCq1gB9ddw929qVUA3V0cji/Hgxw2qCVV0Bz9scGOoFoDuupPRys5YDuhCSKqwfoCBdFONz7XWZpCjHrurHgGTjJJnYiRolEgJS15yWpnTGGSTHNci1lZbvIg3RokgXUgzLIfR6UK+jSyc6n+LZ4Fwp2BMEcRN8IRh1DuhUPc5vWOlwtaHEiHwIKBOFdbbF8ETwKTd//NEJ05DxxfGEFBreX/e4LAMOY8bDdEVTwfMyoapgzgmlBaTA/mlLYAAAgG2MqgW5kwBYlRHbYWSANA1oY0SYi1EOa88A6JAYrDRG4WVTlKutQWHIcCA1ESnd9MntPxulr3eA6xzKvnrefsR7V9YQ+hx4b1fJpMtW2Sjy9ptjE9DZurRWS6yJXFVN+68YvQaBmXMiY1YHaihcqALJq8PVhads/7lKIiAdyNnWdIh/hlJQRaogyrqWOoUxO7reEBY6j+I047rWJTcT1gkL1X3dwfS93pzaHDwgRs88NGvvAFXro71RhK3scegBjvj7NF0ZKGLiaQD7WFcL0Lx1lKvdBmtrlZxSx7WunaYsKHfA8qKh7Rviw8Im9kEhQgAnBEUK7Afol4jixe6KfcrYpYx5SjgtI96XSCTTesTStnDM2hjo82dBbwvUlEG5t3EqDvcKmjS0xmxeaSvFTc8X4DgaGLQGudLWTKUqGRGi9n23fXNhABIm23crSOM2VmauAWfhSBCIqbuzptwDBO6FlNvKnjFRL4DObt2wftw+qwXB6WSlMDPXcFgMFHAqmItYGQjUKdEWSLhyKvsMrgyJHuQ2d0oFuwCkJxDs8HIQP5NMKIZjx/MI+wTvS7qK9KwlH51hE1JvLwVQYOcmi5XYsqQzmIAOMLUUEay9ULQzyedHcmXP5BjXEgHv/RukK6Orixr6umzaRX5WW8fzsE1APbC0J9xnaBPUs1ECjxnTrvS+rRIVh8MMAZBLRK0Bx/2Mh90VS4ldJCxeVjHBYNkKmS0LDdDuus7Cpk6+28wYbZ0vQFbUzTrPh4TxWRFPC2QpbH84JIhRusuBYz88F8RL5vl9sIBDsQmsCcTs3pMiOzwWSGkoxwQ5MsNWdtjQay3YqOv4AWtA6H8646FOgusrozcbmCFVkTKAJhjfE0jOdwodG8KV/XxDYWarZ3D1NmvnWXd+T7C8UOQHZU/Mq6ygiGXgQgdtaB/zgf1Wh5Ox5qoySEp0nAFg957tiK5vBuQjB+v6OtlcrnV9/p7zg4NJPBPj1VpJ+nNYwqPB1vXMc6mOguC1N0q7K2HjQ9lZpf3/GWR7icm2HIIZa4L0zYF5O9uaMc3kWCAGwIfYcH+YkWKFKh3vYAPrNf1eL92UasC7VHAtiawFYaas7RTtLBvKv4lW7nnGDOeCcK1oY0QxHyLU9RzWXFDKAqCiYC3CXO4t2LzoDavAfQXPBAbTmykHxfwTUtLGrxPp1gBFzAQsM1AYK0yR79kC7PCN4vW/uACqyPcUUY0zW9C0CciW/Z7eRWYzz2tJH9el2v1NUGnvbD/l2fWedFpYO63p24D7Xyiefzsg/m7DNBS8f1k77RiNJYfpFOmr38+Ypoy87DG9D7j+pOInv/cOT5cdlucHhDN6jXZ+AO4fLjidJwx/PiKdSckOiwnNDasNrhMwvJjx5ZuP+CoqrnEHmdkfnjW0Kx/QGRk+B8OTv39AvhCYDYX3nN826KjY/ToiPQHzC2ZZ40Vw9wv+/ulnCrydkcsO40dPUKjtQUW5Y8zgJZ0eHB++qRhOpJMvd6TGlz3fSRRkjbltiIq0K9jtF/zRF19jDBX/9fw7KHlPKnIF5FDxv/jyT/HF+IR/+t0f4KunewRRhNBMrF5Rm+D993fQS8LuzQW//eYDvn0+4vn0AF0E00fF/l3tybD1fFHMCJAJOP9UkX50wfxuh3SJaJ8Qbf6q668d5P6Tf/JP8I//8T/+/BvzAlgQK3NFulbrrxfWuxsd2QAvUh8COAGGlrKlyqowW/aREtJAd0hdgMnrDPxAp+H2INoWlGdrdP2ZrngIYfF/swwYlJzyxgPbnZ5qh5Mb+lVsAT2I8AxysdR6MIEmb4wto1jP3E2tYQR7CKIxAxO1G1w/NF3LqNcEmoFy2iezINKHV0cqQ7YhGBUaFsRaUftExUYeoOaEb2hgzFKvdXNQRZgDnIPsmSGpnyg2W5Dh15Yi6JTCGIC2oLeN0mDCOnfNamsbhtjwMF5xTAsehiuKBpQWsBi0uR8ySgs4zyNyTmix2cFxGwQ6qsygioeV2DtjiAyurmtDeI3BkkN86j/97p/iT77/p58tc0mx1y6JyGff94mQWqmiGkAoajOHUGzGTDq9Fk7BNydYQuxrbaX22S18PZgzDBVPsHKNY133flGp3O4zGH04w7IDpgbYrG7H1tlNtsKQbH4+bjK4aCv4E00lV5Rou8/BFgDwNdRrz73fsKy1Geugo1Oz+M62z10h3B0QF76Rdd03qzWj6ul6U65zghLaLEtpgIsEWTMW2+dwBzqsqqudleJOtWNdlVltpy23gfUoGFoPaoehIBoFa4gVQ2iYYkGDoLQAVUGUhqaCuSZc8oBrTqhLhC4MWPv4BKIHvbWEtcnoGVpVrtcNdR8A/vT0L/Anz/9PfHaJbGifxtawd+dakJvsroiwLtRZJ8LAKOR2wyrZOpzdTtufdVppn95apl9tO/72702ZyCur0J00QWu8uSjtjQcQWjfnRfUA1J07GoumgKvpbm1/G6X/bP9q6OI2vY/3wXo7mlhgnLXX3bcxGa3Z9ppiZWsY4NtF5+wMgIIlMj3CBIN68ZY7Zvv7eWe/s23h4qUpl7X0pZe9VAPn7FyGgaQrrdXWtQFL6mI+ZlvbIF0QpCWw173NaUzV6qC5jvb7BYdpQakRpZIuOnpGqwXUCiwl4cNlh3mxXsRBaUeq73t712jnnjYrIZF1kIIHYvYSteJP3v0z/MnTf/3ZMh/OBRom1OOIEBnEaYx9fmJuRrGttpdkpRT7+EYyuELluBNgJNjUewUPm0xs25zfYfMwm3UH0A7zh+zvxi5rA+i32HqOgQI6UAquaQks67Hx0yQUBDQGGrNPliEyB7EN67vA7FZLgHiZmD2ICoHx/GqPuov9WUNlkOt7pfWafO3rk36AdNqz2lrmvl3ny0tpys7W+7iWDfB3ZS3ZWR/NOhXAwFW7n+N8KaxaLpvfoapzM/At9L0sVXvLI8/iklpqWghJe0eJmBqGoWA/ZEypYAgVQRRJGsZY0FRwrQNKC/g473BdBsxZUGrEUiJKjgR96jo2EI4dVbqt7Zr7DQCkNqTLuhfc7/3lH/9f8ct/+3/+bJ2TpqybgFJRdgHz3nxUmxdnqYRFEJ+i2bCVvej3CotlZvewBBK/XwfB9S0VfpuBf3Vyf087aN4GXUVMG/qXrxUNvHe+53uHxdczIIEUZES2tlmMyjufdgihddsUZtbK9/WXlOdurNBdo/p7akyYlIAOHCY+KwLBt5ZDZ/zML7lv0plMhzYIlgf+Xn4a8Rf6igy3sXbhVBWCf12nATRbDu4sL2hIypGZ/BbX7LWLTdaJLAtRYHhk4OzZ/ngG8vcTBkvC0a+2PaiA+J5rfs7a+O44h/mwJp96W7tPXVsBQiTD7lfPLwjIp4b6YuFaFWAcC/7t44/wp+ENfv10j+tlxN3xireHM4oGPF53KNUMhijm84C/aC+Rrwmy8N2WB0GLEWnWzjjxcRpOirYA40fBPE1I53Dj3/77rr92kPuP/tE/wj/8h/+w//3x8RE/+9nPgI9PkIMAQ2Lj+2o0qCFCJXWaE7M0lel8K6CvB7bGCbVhfE+hE6/zWh4SG4jbRqeBpuHx2omYN5TkJJ8d+FKUtZvVa7iaZXo4eyGzWDwEWFsLOwRGBmHlgBsap2e0vEepwBCx5GJKalRPKqd5pizf01iMH1kzUI3K14YIr7liOwNvL9Q67VIBBDtZRZV1spFiVPw3Tni+Z9a0U2yiCz9Y4+Sd0RQync58lF7vgmC0iKWhRUE28a90rdDFHUsYoqqWDStAa5Ss36ee+WVtJAVLQlYM54ZQuKnqyCb0bQLKq4Lj2zMzWsJs1u8evsePxkf8wfgtvkiP+Genv43/6t3fQhDFm90JpQV8+3SH+TIwG2ZOTUdOPzGYnv0PxWoShoj4dEV4ujB4svpctb7OMmf84f0/wO8//I+gIaC0Gf+3n//nvOE0AjX2jJZn/Pj/BACgCrkuK01/N8IpcNvaRhVmqjy4JUXZvm2iE9vD3MU5buva0Z1jkfW9ve6jrxcFBjSEGrgW3IhG6QdSnegcpGfOrzfcdqeWbSXQqeZEy8GalQbur7Lp92fOkgut0LHh+3imuu0S2s7G3WuRvSeisz6CQPep7xGoou0SaZrBDmmjBtM5Isq6pbLlvQNHq7MFYf+2nhm2emhV9Do8dYe/gYFDFLRA0IIZTumg21Z0hXWiYowM2gQ9FMSJghtDrHi5v2KKBXfDjF3MmELFMc0oLeKxTPwz75BrxGkZ8XjaIS8JeE7M4Fb0g787xtdizAvuS+RCimYIpOvZ2uNAC/7w7h/g9+/+PgBmcv/Lb/63/FZKFF9bFgj2wG7k+/hR4fXruVB0LRfEhVRP3Y/QIbJW7NQM/EorYGIHce9F2oEA6cBbNVq9Uwad3kyHU9be6Vb4rWXNShCcXOdCIxCs1s3nUtQcrmYZqOI9e3nolzvuj3Kk09FGZlriJSA9myJn4p/joyJdudbnV+y53cs+CjO4dZdQdxFe/gHw+7Gq1YLbO1kQ2saVnuiOktuF5T4YY2Cdd88KsC2Vq6/7GSDMhll9aRup9xA2pRTM6oJsik0w0KnXtj/FvOyQG+ouou4Dyi6gHCwLYOcIhob9LmM/Zvzk+IRdyrhPM6bOewQudcC7+YhLGbqjeb0OOD9N0BqApL0OLVi7rdZ1JyL9DF/naSBTrLjhV9pfVeh1xh/IH+H33v49yHGHohn/5S/+NwCA8ZsT2k93mB8GpEtCGldXSFQRHhd4v2G3+fGc4XXR3mYoH8TAQdYxliMRcgciyp4tOqSR0hyyCUeNq31xrQpArGWi1dJZXd741OgU3zF7ylYt9GvqBKi1biHgZzbHFKulAvGjCRSOQNutbAaNQL7D2qZM0LPyDETRAY10IRg1308WgHKdxbkhnar5H7aevXbYfJhQFMPZbL8FVPMLBkHpQrZNKMD02GwPm5jZ3cYeXLECMEaXDVUxPimmD7Xbca5XzqGKWEC++obMfCrZI9aiy+m/fs37hOvL0IPrsgMuPzKtEACYGSQddjN2Q8Hb/TN2seDL/Qe8HZ5xCAtexBOuOuIvl1d4LhP+3+9+B091h1ICSk7QBrQcO201LARBNAIyW7vAhbXFvbxDgHAtkPMMpIj8+mBiVMCXf/S/xB8+/E8R/tWfIi9X/Fflfw+AtPbhGZgeSaNPl4rrmwEfXlHYTTLXYXpmyyrWg5pvaQFu2RuQmgXDM8/T+TXXzPiR/1aOwIc/TJAGq9FlFjnfeZsssVrgtoKPgawknFdARCMwv2mIX1xR303YfcOAuw20l/WOpQ7LG0GdaNj16wlVVrxreBLs3ilVi++47lNquJ8WnF9eMQ8jQmx4Pu1Q5oRBPbhW1lVHxfU8Qs+pC22efy/j+MUZ+b95gbf/MmN+mTC/JsNi/4sB0gZcflqx+8kJVyIQgJDFpYljF4ol6GbGB/l1ZWbawaxdxXi8IueE/P0OkgPKnaIeFNN3Afd/zhjFA+79t4LDrw0UtT2ZHwg4ch5sbRX/noFBV7KgLm/Zb1Yqf7YlmHO57hUIMAwVrQl+9dUraBO8/uIRf/D2HV6OF/zW7iP+5Pkt/j//+vcRT/QxERU4XvE/e/tn+NX1Jf5fp59hySY6IoC8GyHPE4UqhefG888IAt/9ecD9L+sqHKfA+FgNzE9Ip3Tj5/91rr92kDtNE6Zp+qt/wARNnLraxsRDz7ILLu2PAAYd6dawdDEnoB/A/YDvVOfNz38SyffvCVYH2Rpwf3aZg3hDHPeBUzBra+qz7kT0QXWU3f3GIL31kQ6KJsLag0HR9mqO1W3wqZ2mg47cb4OKH7wEUAjbn3hGIwiFcuLqaHvNAJFVQ9lNut6pMP4sXNSffKbX/ggoxmOOfG/lsjn0vRavZyN8PLeUMQtQeu+4zTy2JkipYUgVUyqYQsEgFYMUjKg4hAWHtPRsbc/aKm4oFVUEWgIpt036XDo1yX+HdENbpwB63dlmHQSNVNj1DNb2MjS+Xy7i45mt7VdrDH7FUGVZM6+fZtV4b84v15MPkI+n24fN7yqsLnCzdnypbN/ZAZ9G5kKvCfE1vR0rF2nygMTsJ/eT1/w4QKM9eJDKLKhne0PxNb6uA6nmRFndn9chE8Xx+dE1m+siVp4lVYVY8KhxBWgYHJk4iSPHC9bssaOTCgQI38OynxtW1zqffQw3f//EVpDSQ6P82X7t9mf9EiEQE0UxRGZtdzH3AHcfF9zFGbMkXOqAAgprLC0SUa6B7BdH/OvqgLh9gjt5qoApx/6VlyqCRFatfcpK+BS46S047M/Ies2+1zdUUbfTHQzblpFsP95tgH25Dd1mxLd1n5+OrWzuAwHXcOfxKzvSmbiLJFtQHhj7uu5zJDdztdpl+xpJA60KSLG+rZkPQ3qXrqyLRlrwzTnmbA0YS0N1tSH+jv61PbssM+5MhZasv7hpQbjwlANdjCE/OV/MaWwpWKbSwJmezWU2yx6Fz9WZJWGTjROjMG/nUG7OY2zmNIgihoZDWnBMC/ZxwWAoXhC2dvKvqoLWBK0E6Bw5htW/0AOm/q6f2E5nw0if1K0NtnUeRkiYbm339mq63tcBt7ZRp+7sGXBO8Hk20bVBHLT0+XJRphvH0fesrxu35f4Z23Hd/F2268X/zX9vQ7ndZv+3X11w0H6edEs134DP4jXAAND7dfYPQ8/udp9ou49snLbZP/+e73ON2s+3lSlkdtnql1nDa37MYNNp7+drLijQzJ6vjBY/27R/dhfT3Pg53oZqnU/cZog3Z6sDwhpu51tEEQNterNBGaRiChlTyBil4qpAbhFzG4yhA7Qa0HKg/1KF6z0zyN3a8zjrWs6w/Wgrm2Gvd/dngCgRKUwIYYLGRpFTe29vsSm2zj1x0/LtUvN5DVd794ECRwiAlJXRQvuo0KFBXe8hrrXmIUtPTPUFbe8VinTQ1ddj3fGzmwlkQqjDIlZX3qwkYjWrnDMIfRq2dHNhR+3UctdoaQOpswC1XPJYARV2LqheB81SC93R2GgOkCLY7qkQGnJS1DGgbvR42FIMKMeAy2EHuUSC6faMmhRo5qtDuN8SgKEhjJXrWgUhktnVNq3AdHCth/Vcag5ynrlOfN8AQEvelWD98jZPddcgTVD39JPV/f9gQJdnkK01pK/Hvvbs/2NQjIHMBcCSTKaEDQCoZKQ9l4n+jImtaRGg0LZvM5JM6OntuavgObR5gLig99XVsNq+f9/1m7cQujuAOvRGa1pMwdaQUblmSC5o93uUhx2kNMSn2UQBBga77i+lgHpYm8uHYg6EHdzrh6Kn5EN3NvjiLgClDwGsnTKHC6tTXS1rWibpG0wqgHorZqARvcDene8WmfVMF1Mje8lFV+4bdGzASOXfNBY8HGZc5hHLXx4R1XthEl2nE6aoO6uxM9TOBQQAdEqtB7jlGFH2rHlMz9WoNWsA7T3cqmVwnXJXDoq6a4hX1ua2yOxuS+gF33GhSt+2BrQcI+q069mU0BpclbMdRqNkWQYgKppRZ+oUep1k761lVELSQhTxMeJ6PSK+nfG3fvs7vBovOATWTP358gX+HF8AAP7nr/4YX+cH/PN3v4eneUJrgjiYmmSOPCiyQHJAOrG4fjgrhkujUJkIBIp4ydw5ec0ofBZs1gpdFsgw9PZC/doK9NQKLaUHyz27tXWyrO6UAYU5YlmgIUCHgGhAQBsETl9uVrPVtpTFzdUD3aZE8puacVudiBsn+ocuX1sNa28yFctm+fOjU0WaGx1zkuqeWQUdTLjKQYVimbbMADZevRwg2KFt9fAi0HFTayxAs/8PIH2yjZbpxuqIBBPqqRPp+HVYM7f57pMDbZGumNj7WmOt1y0gJTBqQ1fi9IDM5jrMdhAPnC9nMEhVoBROT+N+id4+aATKELjHxtWh1CLABBynBfsh4+V4wT5mpFARRfGQrvjx8IiPdY8/P7/Gc57w/rrHdRlwvo4oc4IuAbFwnNNJep3QcGlrGxwAWGhv+R7uaJgD6H1DS+H69XXVNtG+l3MA0HkGyvZeArx5Cd0Z/bZUBk7jQHs5RQZUpUFmhjHhagJDU+yMBFehdtDN262QMkiGTpybOZpG47T6c9ZLc622iY51ulg7kMHUsq0erzlolGwdmChHndwhsHXuNOlhDUgUIL14VzEcM+ohIN9FYAnQEJEuJkRy9nGjjUsXZpV0CCjD2iKFdoMBkov/cu15lGLPMK5ifc0U88tu89yBmSVvMyN978FUkcXoXszYtQG4/mhiRu9KhFwSg9awVMQ5c26HCJi4Uhup+B/PnPt6SKhdxIoLLS7MgoUMBBs3HRskNlSrQUyhYgoFTQPmDT/3Me/w7fmI6zLgehlRcmTW5HmlbsZFuL7PairYinitrMn14DPxmTUG2iAHITPXt8QAHPb82esMbGpyy8MOaWmYvs+I5wXh6cq1tuOmlaVQbG0cCNi78JSANFHTqEgz62in99xD86sBdaT4UjlsqMHNAiZBz3bVke1FotXJxYVU0jbQPnl9Xd77nkEXB6oTbX7IVFpfHvBZqw8vPWFpkvsB6DWYLQHlRwvSVNkeplI47/KC5+nwfaBQ27JSXtN1c7iIoOwC8p42/uZ74Ge2Y+jCUz0YVWB85lpiDR6sT2hAG4GrZQk7g+5GYAkrECtkpGkgkyxarX28GvvDBC/9/AHQS7FEFVoa2hSxPLDeM13Ycmh8qkjnhuVFxPNPOR/DSRCXyNrnfUWIpL8CwId5j6c84eV4wSEu+FgO+Hl7iw/lgH/5/W/hkgfMhZu+LBF4TgayK6Sw7cxwsnerinRWTN+zRSPb23HvUIQuYXmzgzRgeJwRnyvCPJIVFQTyu18ilCvwb22d74AyCdIk3VeTpnjxpw11IF3VQY020NedPpLG/f4/BsrrgvQ+9dZDN7XNVrbkWf/lZaNI05NshBGl21ipwP4r+rv5uLIlLz92u2uB6ClAPu6w+05w/LphuRc8/r4FsYEBYXyO2H9LX7buLcA6EpC8/lQx/1igQ0PYF8TUMKWK3ALnbL/gchnRnkdAgPJFRhgqfvz2EV/efcR/9+2PcfnFPeJl9YWHdwnPlxeII/D1/yQRrBmZpT583XD4puDFnxBAzAfB5Q3Zb+UIYFrHq+4a9K5CYkOIZOHFoTL4zhHv398xwF44Tu1FxnjIuEaKWmkEsjEK4jUiXTiuqa93+tfDY6DQ1EIWRLkDpt8ic/Icjkgn7u3ho6AeFPMXFUgU6AqxIX+3Z8Z5CliWiJQaHl6dEUNDDA3fX4/4+nyP/zb/FvZDwX/6d/4YDYJ/8YufIb+f8PzhgP9j/rtoTVAN2EnvBqSTID801n03ioNJIy3dWbbXVzxXXJiXdpNn+uFb7XX4/+HUlZNLjRkVq+EW9WqNNV7CAzwARgNiu5wADyiDIQqh0xlWpFBW2A+fIIO6BoX8pTXYFUWvR+y/25FHQ0V6Ngor2lTXOGFbf+WULDoWChk29KBBgbFh2BWMU8E0ZLw+XPAhKN7FQ3fWWgIddrEanmiooFK8YVu/eJPJEJjgldz8e0f+PRjZ0NkcnXHKXUu6Znntz64m2PRGsEiUaJhYUN/jQcuIVDv0+7OBDhgsO72tI/X79RZQQkRPiqBVwd0w45iILjQN+Fh3mFvC2+EZPx3e49xGXPKAyzIQ4ROlgmAlGhpm9vB1wyoe2LTNMzjLYEsz3l5WS4hajVo83KL1tfFerZla4+ZnVelw8QU2k7MGTT3TIDTUnVpliF3rzv7nY7fN+PRMlmViPqs3+mTdfFZjsb0UNxndPo/+PQcp/B62BjUZOmlNzdHE9i7frw3WY9paIzDTZGs+CRo2wJYAa+/iTelBz2YbOBL5/57BdQfGkWBvUeJIJrBSwEVsmiyQ0gjWzfh7boEJvzYqyxqErS/83/zPYKNlcwNsbIt/HtAz8qy/rZhiQQoVgx3qURqmkBHqDqUFov85Yc4JtUQGyTbO0la6Ysxqqpirc8lg/JM1/gn40tdvH99PUBEJlqVWYMnr943d4Oq+nXZsA6xBuB49flbWNPaafc9QygY4saDSMw7dkfXaOmx+Dhugx8GgzXu7cizr1WVNImzwqm0LugY7WK0eaSvE17PGSZGGihAbWmwoIVH8sAfH697s5QMOPia5PasMcLt5ZquFZfnEyuRwEJZCLA4O8vOcmSOmGC1igIo4zdkyKZWfSyVdhdTAs1exsoAsY9/ZUlZHHa38RG1+NW3mFeh24zOWE4D2iVaCZ2z9Wmx9LyY65S37PJu1teVeS90zut626VMbvsUka+VXSvyqFVoqdKMirmMgWLhY4OyU+8EYaC5oBVggLZ3R5CJ2va67UPW5j5VlqNpoa6k5mCIAnNKODswDDHrTpXYQaAXdVoaWnwOkb/Lc6CJViU53Z0z5lPhnCJgVNQaONq6h8ZCxmzKu87CqooqiXq3ERrfz7HT4dV/mA9dqXCgCus221zF09W3fKy2JCSVaeVQHCBn4tElR7xt0aMA5Isz08dr2vfydmoGWuzVpsNa3qtWM2/lje4/j7aUSoTOBIIDO9C1CbqY+G7qqsmQgVgr6qAkHAkBTQW4BsQVc6oBrGzC3hFOd8N18xPvzHtnGVYT1vMF7iiaAivAU2epLuYAicVa6ty0zaUNA3UdIUQyVtP1giSIVQb2bUDeK9N0vNLaMRM7l9NFowxIZTHm3EEEX8Kt7xfhiRn2KSFexdfeJXwqfV0XbNehGLHO14+gAjQtglb3Z8NG0WfrNgPRtRDoZyPXcUE3Mr2eG1WzCDGAEfUI19fZIOnNI1MAYx0KxR1E0FcSgACouAJMOSTHsM6Zdxs/uP+BvHb/Fn398jasBLGTYkeIrjb7+8oY2VCwrmS6K8f0MmTNkLshf3CEf97aP5cY/QASGfWZ9ceXmj5HCk3lJ0Es0xhbHMKRGwaxDQr5nQkv3DajrObYFf7xPbd+zFru0qHjYz4ih4bLfo1ba27RYJn1okLFhGAtCUCyi3S/Uxs22HzNSaFAAc404zSOulxG4u+Dv3P8aU8j4V7ufIMsEvUZclx19pKRQa1+ZrizflF2F5kDfxvbAFoRmy00xO8L3DM8Eonob2P9QQS7GAbhU6PkKGQfWLqpSNVmEKp0WAHRk+G5a6YDNep2ioQ2piyaFTeDltMRyF9ESVfhcLdhluV3QYSsqIkqkM10bNr4F0rVBZ2bVyu7Wqa/TWosC2CFmxrsNlsn12q8Ioz8CSA1haNjtFzzsZswl4VcfHjDPw7pgiyucaTfYbUCfTLEDy53+/sjm7IVZMSozHJoCmoAqyYmy6/lOeuatjcDyyrLLibXJ+bXgSQKVFxczZlGQ90BMRtH2sVT0pupb2f36MJkz15BObT38+7NaG4+qVrd0u+Hiwvvk+4Z6pPran3x8izFW/OnwFkkaLmVAsdM/iOKcB3z7/p6I0Mw6lnCJJqQFU5NkzVO6mOK21X+GpTKDMg1oO0Da2CnXXkPcHZq2cWyAFUEGiOon5cHf6doBcMqzZ81iYD2u1/wG4e96Pa0IgBEyNQBUEKb/Jx0ldeqJ1yWyT6DXj1rWfgydTtaDLzN4nT66cbBbXEViuiKqOc3OlqiOODqoEzbf9zEJdpikRiqoMPjXHNAWBj11BINmFZTCrIRarWodBRj5zCHTwV+FhgJc1bOzOIzulk1JNx+oKJsPgvmNoXrWDkkHBYaGulCALRQBnl18gYdCnNlqgsFCgCbt6rXpUhHP2Q6L2zVAFDxAaqOmANAVn5urovdMpQ8WOuWnloDvTwdMAwVJdrHgwTK6v7q+xC8ur/GUJ/zy8RWuOeH0uINeIyQTcZUsXO8ZGJ7YT3A4N8RrRcytr10d2PpHclnX3cZJQhBICJ1mBmvj06/dCInOH2u8x2ZfaKkI5wyZF7ZdSZHrvQFhqVAL3ESZYQLU2mQEG6c10OztOYy54HPPzAAdhHhpfT5631G3T37IqQOG0lk61c8Nw5Xa9nNHX2109rsjuP2y9SRWTpFLRDGgph4bbdhdQFzCKuzW0G2h19tu1fK1ClDB9lm273VKFmAzKPZazjqQTlYOgvkVn4cterRTyiQHhKt3CZC19ddCW+AAbq+RNCCK7AYGirrned12ifba65k7zZrz6lmltR7ebNSVExbvgVoEmon8iwz45nKP5zThWgfkFpFrxGyiO8/nCbVEtOcBMpuS8lX6GdGFatIqvAQB2n5gvfMl03e4LIgXrOtcFZhGSEpkLMwLWwmNA2QT5JZdQpoFyArdD6j7F7i5zM7rNKDuUrdDHuB6CYSvwXw30JYNVpeagXSyOsLJnTca6TCg0z59LtooKIhYjgH5CIzP7lgThPbSJgfpXUvDWVtOYVSxgC+stMXxvQVSW79C+L1aA0oNOOwWDHcVc064zgOwK1jeBMgLQT0ExDPZMcNJ1xrZtpZA+Y3ZZieu7IytE14tO6PMLpZdxPW1YHnB4IFqsIpwz3Y77Y5U9nKNEK/FM9rs+FGQLDvugEfdC9CAw3fN1owp98LrStdAWaNATBOi+4dKkMzV3cvOFHK3gIQCMjTUGvDdxzukVPHyeMEQK97NR5zKiGsdcCkDznnAsiQGMyo0oXVlHspiKvkF61fmfNe7kUG8MfUkrj7N+J5Zm3YY0A4DwjUjPs4EY7y3tV3HrxTTbKroHfBafbzDN0SCTz+OOP+Ewe6jabsgNiznAfsPAftvGxkKD0zssF0ls7F1BBCUCswKnL60mtBnsNXLSI2DMgFPts3GD8DuO9as5yy2lzh/rpFw/UJwfcsQZfqe9v+qCe1YkV8V5FebF1UmTXCK0DtFnBpqiXh+nIDU8PL1CcNkehsqGIaK+aEgRAvsRPF+PuCP8QX2Q8bj75z4+88JqIJ4oaibFEF8FtbuvsrIc8D1dUI67wDsAAHmFxHXt2QohAykx2jnnUJTI2gaFKP18J3nhPk6QD+M2H9Fwd3rjwvpzN9OmH+xA+4U+nphWd5jQlik1+c2E7eLV+Dlf8cxzPf8t8uPFPllBQLw3VcPQAmYvomIF+lrevogOHw1og3A5ScT6k6B+wL9w5kBoihKjvjmuwegCdJUkIaKUgJaCzhdJvxfvv6PAADPX99hfOftPDegtXWFqAOw/1qQfr5j9v+B05cusDp7s2+DIFtpmXcQiKbPEK/sElM+7WP+V1y/cZDbxgQ8Z+j1CgA8TLzNhAh0GnvPSW8kXu5IE4inDMkKYr0Mbh1Vi5dmSsvBDmz2Pm2DIN9bzcbsB7tCDQWOvReYmsCC3go5CYM3NtEe0GlwAHodgtfSWhqdYjLg+xjiL561tC9JlJS/3814uz/hL59e4PxxDxjNEOCCZ60FjJZsDr7f3urXvBSzo9XmqMWlUYHQHfQoRtmkAEYxcSDn2OMhY9pnqBnYmhqWXQTmgP2vUhefIA2OC0oqIFeOXZwbEeq0OvHtboBUxfBxhlwLBUs2LSdUsLYI8fpHNRS4WnDtytPHAhHg2w93CJsm4aVEaBPS2K5mtBU0ZAsNzfAUKMGerf1CBvbvK+KldcdSqnZqWx2HtT4HdNziaWEmpWQKv9S6ZjaCYJ0IOvcIDbB6xB/EkJryoBnp8LjYlNQMV6yFzbGUAdtsRK9/EEOOdQVsdDSDWVfV4jpaEDC31WG1ddJrnXiub1gLnvFfwZCeIbMMERSd7qhbR6U/qH1FRRgake/YUGNEu0aytEcatWZ0SUAQI5/dA5o4gwe+rMG4l28SnPI1xGf2dV52DIDyPbC8adDUCBgExTBQ8XKZE6oMaAtpd3ExR9MAF1wtkBpZy+eBvCjYl/dTGruiZyE9y+LMlOaZ57QZV1tmYmsWSmr95TJSgAHALhWjc1Z8e73Dt5cjrjnh6bRDzRF4HJDOoVM3ve1CyKT6DadmInW112UBYBsUB27qQtDl0ysE9DZYMUI2Wvw6DNDdzuj11j90U2PulGfJBcjmQTqrwIK3vlTs97w3egcU3Y4aDcnXmGe4NADVhNHi1baNaQ4Ey4QRSdd1nAV939dPepjznbECgH7qNQt0ndkSPMh1xosiRbYqqy307L/uKmoibb7sKfqzbYkCL42xw9oZMi5OFGY1Mbz4GUDSmQoGbNUdkB8a2tQQX2SkVHsWKS8J9ZRMBZRgSDtJD/oRFXBKs503SIBWZY2uoPfn1TEw0N4uFwv0wuJMLHtezwwKW891ulkmXa/miBmgomwZcFpGLCViyYnZigb2u6yCeApdDdWDdFLw+I4tCgM3A2LaFBm0LoVsqnlhh4cYgSFxbQ0JGAA5VQa6YYAko23ZVXcCFI5VmxLyXQLb0lg9eyKg1aaEuv+EpWNlOZ7ZBFjao+H/x9ufNkuSLFdi4FEzc/eIuEtm1vL2B6AbvciA0s2hjHD+9/yE+TAjpHD4oYWcIRvgawAPeFtV5XbvjQhfzEznw1E187j1HgCRonSIZGXlXSLczdXUVPUcPUrb8+SV40BMaDJYf6N4YduCOvO1LpyZT1TyDRtgrHpEm/1coEaVRpsC4X6NGgnmQGHFkAMRH3wILW6AkGGjdg01B5QUcHd3xU/unvDd9R7flsDRZl9cUatgHSfIlRT9crBr++ToqbkAgaFpAevDbaEvrgpZeR9ppt0tj6Qmr2+B5asCHSrifUYIBAqGWDAmKs9/uh7wMhxRqwBuN3Oib4hAtRjMe0LLE0cbSQGiJeLZ4ko/Z32sStgU41MGmXrct9spYDuFJmII2Hno52tS1CxY5xF5KsDdFWMoeFoO+FBPWHKiGn4JjGGq0Hd4H65V8nx2t7fUpFmRLiwQbqfU9Sncx6kiXQrS0wyEgOWrI+oQcJg3hPMVehi/l+Qevy0YhdTEcpDGcPR+3un9gvi8YLt/i/MgyCOVi5smzTVieAEO7wvyXUA+xIbKShTUU4WOBdgE6SWiJkX58QpJFfH/OGL6RrG8EdQ3TIjj1zMkVOjTPaYPinAnthZAOtOGtnvG9+sDR0ymzxGPv+IzyPeCbQhIX13xy68+YckJn68HrGvC9ocj4iUgH4X03zkhfUioo2J709elKr8v90tTehdRvKwjlpwwpYx//5NvsJaI53XCdR3w8fePiE+xtUJtSXF4mFFOAcubBwwvsZ09271geUvQI14FsQD5XpEnBWz0lNs3AKNODxg/Btz9lvc//7JiOG1Ifzfi/h8Un/+NYPrzK66XCeF3A+LMmGMbFdu9oj5mjL8b8PZvFsQ548Nf3WH+SrB9UfDLf/Utvvl8j/Jf7pGugsN7JorbHWfQjp8U7/7zFXWM+HQdsbwNuH5V8B9/8Rt8d73H7z89YFsiBaOyYHsMKKcMNePcasKv//AFtAjG7yLGz4y3ytH24MyfqwOgA3D6B8Xbvz5j/uqAT/82oSY++5DV9CfsHJ4s9jvSb5aPsPi0cr65xx//zOuH9+TaYHaZRiK5JlrhB06jU6oSQRMmTgATDeTaerkAc+j+Kx6kWyDUKIA7hIQ/iDZ7LS69yR5Ao7C5aI5GHpRq/SSkYqHRUti3onZoe9WUiVq7rujBO/oQ65WHxfM8QQBcloEODWjKhdWFKNRQidqr7PkQekKopGWWyZJyU5GmEIEnJNICbDaM2z0MvP46eRJiQEyleI3MEbJYYm1BHSyG9QZ+r87mo81a3MX8/kzqlNgDta9ue0CtlKp3xWgvUtRd0BlWQblGlEGhLjNvf2K0Wb6mPuh9n+4MbwQ2dnah3hfbnpOw8m+CPK5u2v7fgkEZB6iqoV/ZAv8dAgYAJUNzgUSje4bY5qY6bZPXJExoXXEI6LN0fQ1HKoL6uBFgfw89Sc2H0GzBf8btpo0/8TMTFGbizzm1iIFzmdjXVUdSRVyqXpP2AotTRirITvX4RdGSb9K1ae9+4QrwEH9FWWyvlmQLH6EHWomJ8J4+ygoJP18saSlTMDEUo24e6ZjzSaFTgQwVcaiQwPE83/vsBFQ1VWVFC0RdUX3fv6z2mVw8be/RlYC5CI6ENOR2J7rS6JutcMW11WxFG+WsZ1XBd9d7PK8HfF4O+Hw+Im8R+ZKAHBDn0JTaxQKhuMJmbLpSqVqwQlaC7JkIqo1efPM1oCWsLjJ0Q/20vnWx2YVqkpVMiPdrK8AwGGsh3tDmfdyYhgA9jc0veA+47sRIGp3Yig4tAfDRNl4EgRd+0IsMti+Kfbb395WJirZ1l+zuE+iGpKjtIzNkjbAJX9bTGwTbnPAZR5RsLBKVRidjEEpqlfu5fB871doLVZaU+72UQ0StsaNzhoz2BJfiID4vsk4VGBQhFvpG23vie1K6vTUBGCuwhABUS3SDqvl4o063c7b7cLjwXaJ6qTQVEKCh7ZW/E/ymBM0nySaoKwP7j88nxFhb0bLk0HQUZA1k5CyCuLL4mWa0NhMWrLlH2Q9a0FTWvRoWSS++cTnerCkCjAO/FwKLPjskN2yKGgPkMKBM9MUQAZYdayEGnhVrtfM79ESn9KLwDSVe+r+9aPLaJ7q+Aflr/KU8WWK8kqkRMlpRqCO4nuD6HG6gnIjy1skFbnxfAxRC62eHf7YoWPwIRN5zTFhywiWPyLWfU7WKURXBIrghoS35elUA7eO5+HzCpi059D76zpiTNl7Gz/b+CAW1BqiLoqlQddv1N/JOxDLc1C543YmASPMj1ealm536z/iUjXyKr3yRtP72VniO7kcE+RpJix0r4sBEXExsTUSx2AzcvEX6jF2xXDZDBS3478CHrxuNwlvXpAl4eoEF0InBZ1xqG82mxwk6JtQUoNKf4fImokaquxebhxo2UElZgO3NiHJMWO8FZbTEbHGnAjiD8eVnTBXiZgX1BNRDpR1dw06YSlBXb0FAO7tCNj8kihgZo2730lqNOh1f+r/B94PFy3xuFLwqOeL3nx+wzCOqJV/RxZ5ywLIM0BzaKJ7z5wOulxExFURnwIlCVbDZeBs/l3MOyCuVrrQE+p0rfX+cBeMTN9T1hUrjYaJauI+o0+j7UiE5IECQ7yvCF5wNvswD1pCwDr1gibFieww4/zzwORSePfqgePmlQAfF828fGAvbvhme3XcK8jJgOAuWLwZISUTXFYgvAb/97i3KJSEBVsAViM0j3h64mV8uB9QkuH4lyA9kYf366R22zH7cWgu2I6dSxIcNd6cF13nAdh7BWbobNIRWoJUKxIsnqbRr77Ff3go+/vs75lCVhezxmQyG69cEMPa+ykU2HXgpMaCOI/K6C97+idcPT3LnBRhGSLpvwSBCQD2NPDSMuuYjhFAron9tJYJWhjuK0YggXWrzd3XYzSoLHlDuDlQ/z+zQiRswvJRGdXS6lfescoaU2ABkNATJpbfLqNjeFWCq0JcIKaHT27QHYxqBYtXa8YkOe3uMqEHxUo+4XiaUNQI+s24i1aN8Dl3hWIg+ThceBOtdwPyOqORwpfz59StWzYcX0uHiyuTRkx2nQHnDeTmQ8pO+mpFibchoyYkH1hwxfA6tV7EdDpHOBTbvbmsOJSDkYKIfdhxbxXN7CACMOmYHfhkpTjI8bZwveJcMmZeGTLjvJEKTUKeKemLCNYwZIopp4OzcdU4IF4qReHLr6KNTLWoEQmLfzh6Z9B6o7X5AKIp4zUShXB3a0CcVJsIaBDFbouAI7J66vCwAElQTk+DRMiUTndIUQYS2MFl2tDcGiplYMqEi0ClS5MuVTM1W/ZlK5X1tj7T5ONNWvLjSNnzweXAmPFQcxQ6GfrIa7fPQykTpfx2UgXNUS1qBsASkZ0GwQ6Un0lbQ8fO+Asg9qdVqCqmZ84b39Gan1jmKIbE/fwoChd7PCJAdAaNlZ+vTOnJdthP37Ppo1KeHgulxQUoVY8qIQTFvCdsW2/s5o0FFEK/dSeYTA7CmAunPOAqRIhcEUvcRckM/3Y9aAdBnawvaXvD7ksrABpWKmjlVXEPFliKezgfmlNeBdLwsGK6GYC7ShsdzPiHpj46GiCtv2kgmmRfIvhdXtdmmOB3fe3JdfCoMLNTsgiIpBbLOLNSMA1kJIqTVAvTZmb3oOiQblZVufb3/SQHb48ikSU38RZggUfld4BRB2jb9RJwV4wttrqb+jDyx59g2tGfSBKwscF0fBJefVgb+A7NZWVg4YACJFpSFjf1CwZ5jGZkLBU8wPg4oMvCQNpt2VU+3szp44kwKplSOQ4nX2qnC6IFaOSZD+5h0qvlGL0jVgXa+vGOfm9xlhKQYR6pvbiW2fq6bBEqNEivS+ql8DrAUYKiAtkTf7i/f2nK1/kiNJkBVYfRzs28Pqi1A9H3uvbRQFrMgEevzgFbUEJCyVvhz6cxkJWx8HnGmfe+TdhecGs4Z8WnlA3ANBBHoEMmqGRJnNq9W2Xdfe5iAw0R/fLkyynbXsFbUQzCRxN7+5MJ73jIkRRHnFXWMyAf2BspKEb1QlPfa0Hsvepgd7dWV/RHtChMlAhiAMDKYjxuDvfShIh8C1ns/h25/v4xEhsoIlMfc2pFE1AqOAmwBsoRG1+2sHNtL2VgRc0SpgsthwMswYS0RIaj1wSZUZy94YmB2pa4rYgn4IPRJjk5qZUtFXIHlgew7qf0s4XggC4gzg3h/lcJZ4UPi3NlaPbkNCJdg+7cnz8V6coONe8kHPpS4KNLCPT49534uCLC8S8iHACj4XBU3mgDBAA6i7OC802hJ21NCvS84PFwxDRlTzBhjQQqcbf6yTFiXhLpGyEsyNhbR0XgJGD8Znf3C/cR16gAGxU6LV9x625QVOvL9AMmKeCETTYeI/ObIAtUQUH0mKYCXXwiGyJjP1ypeLbnegPWBSNr1a0E5mnDUJ2kFF6nA8g64/DeK8VPAm19VjsEaFXjIkI8Dxs/BYhillMOFAm3Dheh0mYCwCEKi/aVUcH5QzKtQN4ZuAuWI/oz8US08S72FsJwqwimjnhOu7ydMHwPe/B8UGH3+MyZosgSUZzYY14MCWTD+ZkTIguXLgvxmQ4iKNBCmzxunGZSXAbIGjO8j3v5OezEmcfxOObA48PAPBfNbO9tGRX5QXCZg+iiYPvBswpcLa2srVb2Gr6/473/5a/zt0xf47a+/BKpgnQiahFQx3q2Q+wX4uaKuCfJxAq4R5acLhr9cUX59jy/+U8R2J3j5ywKNitPvE+5+X1tsXQfF0y+tegbGDYfvAurno9mw7gRphWOgvl6xvYtY35BSnb9eEQ8ZOid8+w/vEO42vHlDwSl9ZFnzF199wp89fMD/+u1P8fHDAToojm83BFF8Pk0oS+Q84TOw3QHLV6RMTd9FhI109s//ISN+jnj4W7ZA3P92RbxkXL++w/wjT1CYwB+/pdBmKBbTHxnP5u1VdetPvH54klsr1Y9dYRbgAbEXh9CdRL9q740JTGz3CrySqw0il5vD4Y++LLltVThLFlrhuXQn3EYeeKV1JxBRJmC7s1lxAxUidWBVQkZtCn17dGvfZ+rD2YtJw+cYeMhsgRVQV1lNpC55n4f3o0noSLKLU9zc5g7l443tetp2FDyXAI+pJ7iMa50ug05n9SooGOM6RWC/ti7t/xot8GsCQPXZRvUTqArKKaGWiOIqurvfbZ8jvn7CihsoGx8C5cfFEqdUemAEJSqHiFbt90N3L1azPxTa9YqhUfBgH0AlZVPLzj6tb/F7r33ysP/3P/Vy2miMHP20t3VLgvY23r5mz8gr4u2ZVTQmw/7n9zS6/XU5RdmVt+uA3tM3VkiqrUKuvld2+9bf35OCAG1BsRaKhsGDKrcv8083yPTNvkO3hx2Vnc9o96y8Qu+/d9MzqT1ZVrDyrxRyKDnynnbJM29mZ7PC//RxQrxXjdoLY0PYBXNWcBt2yDPQ+7te+yp59bf6fdh1qxhKwv2CYujE5r5BWn+KJ2WuOtwGpRdHcl/Z7v7lfeJ7Ya3XAluvX/78G9W+oqlu22foawq095vvE1xbZ92vwX5N9l/b/bsjRdKSo/0c6b2oTvs1e7aO4pYDmtgeTPGX6JAllUqBGb84F8Qjs4bXKBn0F54Y2GeIFz7ch0YYUmM+xfew+8OIZmPter1oGwCBiT6FW7aS9zTpQHYLRC34ZzuHjyJBFqIpbmO79+A1mg9XR67sObV9ZfbuTIXdfnNaeUBgcUTsa/Y53n/axnTtXwK4AGVj4lixsolMmd6F9yK6j3PEPmQ1NNBsvAD6x6Tj9yJRsrPV/d+v9gYLDJWtVCaE1JgRqgYIy43I1b6A5dfD7bWjL++LXK/WA3D7QS/W+xlm/q75R3Rbb+0nXmQPOz9oCS52YkiqAjirZec7b8S5Gl2IDnpZBjynicJ3W6R/ch+qYBH89fO1Vi8B7aeO3pPc7+E25rK94Pe6axGAdF/OP2p+vftIp9431oXHTGbrexG0/V7yWMnjwcbMMXPvSLA/Z9rC/j7gZ3Khf0alDy/KUW9S7HohWHJENZCjFaTzzt7d5nOnu7dz0l/V7BbdRzW2hvklj7lbweq1r8Xu33btPjfVi4xbA3w4Kzc4BV32+xBNJdkLkaJAzdLOKPjzhLMb+Z5UzRb6sqioma0MAAvQEDvnXtkWH4Q/Z8X6hhekg/ntAM7THhT5aMy1if+G+bv9OnicCAHE9gpJd0RMkQNjmajNb6nI92yMoEFguwN259y+tUvBon9QBHsotQS8bKQ+y2bxyVERojZhrBBYACglcGRdddelza/vz898ZAGpxY3BY7zdGbCzB4rcok2mAWiXpOqbP7Frhyh1hqxlp41t8rMTIN16UCBqa8MC0NomyKIg60lFWRgBk3F/zjV5DhYgJVI0d+hFqyb6G3o84ZMZ6muKzJ94/XDhqVygk/XDeFAPQBaHgfzO9xZnweKRaJhGYXUUoGJaEGz3qVHgGkXNDNcdZ1wV6WoBjvUt1hQRCjA+F8SZD6aJwZgXcVGC+SvB/BXV3e5+9owhFpyvJohxl1GPBWUNyKdofaCU0w8r38PpU2ETDE/sLQo25sMPfo3e42BU6AkYXgTyidc0WwLsXPRgdG2pRHWr9RF6gMVRPxSaqi5q4e/9mCGH0vq2SPkx+tglIqy958pV8qrNP2Xg1tGNfVLv32+Hv/8RYLsP2O5CR0UC8PwL9idw0LvCFShrIgVvu++2EFZBWCLqFJCPBUDGtiTULUKeU6P0JEPi8oHrFpdeCY1WrR3OBemcke8StskQ6K1S5CUKSozMA5WsAplXQBXxMu92xI7iubPZcH8P1NDsu51Ibu/+s4ZwSVUiC06rC7acladZWKshCAEI0kQy1HvQlGMLaPD9/X04ufd1s/ecaq51F6SSocAe1nxi9a5MyoryUDE9LDhOG+Z1YG9fiKiLAIGoJ+24O5nRqmj5SMeUlYFQm2lZWa11kaAy0VF54uyzaVtw4c+hgsI57iaa43P6k7bDxeXx/cDZloQclegtgDwP0IVJu2zB7E52FP/uO8LGXlciSR5A7KJAYXU/2NzT7W5n5/tZqEA/ZKyo0ILQ3aGkSRFOmaCpoylBIebQgvUkxqs0ZEvsGTtVefrMERdxrZbk7sTThsRLskRWNrPf0n1y663dv5z+2R4ARdoQI2RZoecLx2k5ensYoWmALBmyblBVhAtaUtwKTOavGupqCVI1qhuA7mPs8IqmBQDYWsJEfFTJ0FkKdAiteEaqMZEeDeyFmr+mj9VTgYwVx7sF05DxMh6wpQFYA+Qp3iQTTS23KIbFC4aCOtGOvTWFP2yJcDV2ivUdudJxMt9ZBgafri4r1dVndwmXL7tYwL7rmS9HhT5kSORIOqhgfp7givKSqU+QTPXT982epVPHflYFAOs9b3p86UUDPbF1x/1LTT0BaEl95sZsvfORvkUj/Xk1kSxSaZVih4MSnRDF8vkAuUSOo5kNyb3A+vC4Lv55cVOMz0TAo42GCi4womQtOMKFCmBZIdeF9jfQsBpzYVmppRADVZalV3GHzwvCagKBu+TAP0tg9poCx7OoIr0QFnXBuZArZHZxKdoURSGBRbv4Uivqmp/wtqJ0MeojDOFMgi0zeZECDJfaEisIsN6H3q8WuNYSKY4WLHCnyJGLYaqJU6rpJABSe08uAKSzAIgoywGfptHQckuaB/cbYm1Dt/aK2jVGyghcvo48G+4sWcwwkU60QnQrrhvzrNxV6LGQVQSwSF4EtUaskeNK1jUhGqPLizn5TnuhQOknuz9Hs+UtcO8FExds48c8sZZ+Tdsd7dhH3/itS2W8wT3GAoJeA5aXCdtIujz79pmQv3w+Ir4fzI8xvhqeBHHlWBeiUlawVLRxYXFRJPfFyhigWOwQF+37AEBNAcvXB9RBMH7KSC8rVFkEk9J9fLoCownjDRfF+FSw3Ud8/tcB+aRYfrpheFiQ/r/3+On/O2N9E/Hx3/F7IwRhoaDn8Ruev5efWJy6APJ+aGJA5aTY3mXIGvD4NxHDi+L8U+DyV4o61tYfHr6dmByDMYnvgZagRYtTkv19l4FjwbsvnhBE8YcPjyjXhOFhwf1pwfzjAe9/emCMlCokKHRlmxucfgZr4Rj4fg/3M6oVmtd5xPTrCXEGLn+x4e5HF5zTCUBiAv31xj32iX2w1x9VnH9hSedAx6s+dtTsKGxA+naEBqW/y4L8zQH/af4l5BIxfGQ/+vjTBe/urvh8PWCZB9QC5ExNAxi4o88DLtcEEeDll4AGNWYYcP63Ky5/VSHvRxy+tfM30P/MP9sQ7zPK04D0OXI2730BJzRExFk433cdetEtC4Y/EFavf37Fn//oA4IoAhRP64RyTcAW8On+iIdxwXHY8NVPP+M8j5j/cEchtYJWNHFNjfFjQJ0U648y6t0G/W7C4R/5OfNXijULyjggLgnzjxTxYUP9MOL4e2MgjIxh08XORvt3/pe15P6fkORa0KTRJbc9MbXDaF+e8lmLQKtE6RCBagGbgg7aaIwKd4wKjoSghxOL31oQDKtSKzpF6DUat/unVCWCF+lo9Vjw5d0FQyxYMwUDgnH5q5h8/cqItVe23BmhVeiAvWqxVyvFgiRtVam4AF4l90p6qxbtqzW1h937Kp0723bgRdhIF6vqAoZcGGJk43puhieLU7rtWjc6mVDAfgrVHgg2fyEMynsRi6IOFugl8PBwYTBRFgX2PV3VkMTetyj2mZ5XEsHFGlrF0+maoqBoFdAr746kFyBs1ptYYq98Wk+O005bP5rb7l5Z2SnIf+yVjH7+Gknweyt1x2Dwsp/2v/3XgrZrQgYwuk1aQKm0dQVuqbS7yqqjn/477RV6ktH62L0P3UbraGTlbRgKDuPGmZY5oASTp8fuepzyaPtNK9cfEEvInc7IPekJcUeC0AIJoj9yE1QYpNrp5/49U4KWAsTXyLDtD1H2afUEGtDV2BMN1Ufr8WsIiAedlpRqZTLFQtKO+REF3pMqlQyMMgHej7hf973o0A3rws9YASCs2kqoBjb1iminh0uj4olV+p0lEjajA261IVtyY1cMbp06CU+ogFsf3GzFEy29/XpVvleKwCpGa46QVNFooDFCAjesVIWWyt+LRll/zeApaGq8e3v+3iUVL5R1tNxtiMl+tULOLknUvgfUlLbrxAA9pIppyDiOLObklJiwoSccdGe7fsNscX4BNAPyKsEl2tiZPdXYYV10yn6UZtj8dDC2xC11Y78et0iuBgvabGNoBRN0G7dDnyhN1IPFH+2IcCISLLW/r58x7awR9HnUe1ZC2P29u/d9P70jdu0cCv2+kZh4+fiOxVHFaohQdjSLCW5ctBUWeF+087CWxlhoS2b/rz6RoFTOxB2GzsowDQatFdhWKEbIIDf7QLaCEIvpErzaA+B9whBvjdL2HgCylyD2gGnfPs6NKtrYocK7z9wfHXaGunJya2OyNY2VBR/v6d6vL//YORyUxTLzK1J3z8w+R72DwzQXJDSXyOdhPltytCKFGqIFGvzrc8b8uezOJCJeXTRNlH+j9rNr/2qoTFRT6ed5rQBqpR8pNWDNETUHxF0fLp+BtjMibOJHyc3NezGA81zJmPDxijfXYnEY0c1+be388Gcn+/PX7q2IXSevt1aBrqRlQlgXZ/GEI1QYH2o/X9F/bt8F47Ew7NyEGvPAWVaRe7eMgsF/sVpxYj+G0llAK8UKx48rICNq4pSC4WHBl2/O+Ix7HL69AuFohfruI8IKTM+K5ZGKxzX16/fJIAoQ1bMxQYMriz8WIoKpoi4R8RopBHnguD8p0kTR9s9FBSx8RLax/fnjRwQo3j/doSBxbuthwXHcMKSCqkKGSxVsVaA53m4EO4slsHdaa4BqIFvw0gUOj+OG6yGjHCPqpBhOHPezvSQAgnpUyJu1tQQgo9lW2xeW3LEQZoK4s0AlmcAe6fljKrgbVjzPE0eumZ+vW0SoXATZ0LR98p12W1RgfFjx5v6Kb7c3KM9j+3q1gvrD/RWft4B6DW3yBIuzETJYa8HGnKRMMH/k+VnFl4czcg1Ya0IQbcXVNUdc84AgivtpwbyxrTAusD3U2ZRSDRAUgQwVp9OCF2FRoSZAD0CJinxHJkgZKz+rMgmH9qS5tX7YGfa6Xv+nXj88yW1Jgv37dUC1ZaBWVpdqBWKEHqf+/YaAscrvr3jJiEIF02L9ugCsD9YOukBkLxRuLABNpZDqszylPQiVwiHX611APvVAWjfB8zI2lbVh4GDmukbrY43sibvAhivb7F138EmRT5asTjRGH9PTKGzVEkQFjdmcH+zv4aytD+T6pQUe5mDL1GnJZWSFmAmQV9IZ8OBjgqaEF+uF8k0ersFUolk5u3l8B0CFiWc5CAWoTB03RaCujk7x0Cs2oyotDD7WB8Hy1igwTss2Z1VGcvLrEJBPNNCwUf5/u68op8qAaCoIQ8UXjxekWPC+3mOrAkjoAZEhJEl7AMx5Wh39dhtJ562NqwLQEwKgjzcRaeOumniU22+pra+2vwkFquCjgdx2XTU5pRYYyX50yz6wUgVM7CgsAk1U/mUfXDABHEv8LMj0g9Upy13QBg192Y86YiU0NKGM146ec8uqzWylKMx2GSDXSDbC1lkKcVUqcHvQHAVixf502R1O5kVqtI9Y2F/mwY+IoG4etPG9O53GAhB4AuEULqMgWTAdMoDVnOgAYBFoTZZo6K2dWwLABYEF80wAG+UvsnIfVyDa2Klq98j3ZHYVLDHZ7qTt8Ra0+XMpchOIt55dtWDsWBBOGacTS76bHcZ5Y8+bzAHpLH00R0GbgRs3bcyTOgoQAuRaGy1fXChrzzyoygKEq81G9yf01RILbmY870+LFCE+U1QE8mBaC4exB1hbgcYI3B3t8yzJXTfa52FEHdjLG2x0hcbIgE/QEEFfo7hw+3nQFzdFuOiNvZcpEtUtinTOqGPA+iaRzTJ2FBRgAjBMGYMJe5QasK4JOKfmB8MmNoqAqAoLYby2Khb0VJggFK8zwPbF0sXfbqikicJoUthT7MFsbAKG/NlgQhp7+/ZknmrM/Pz63dgCJ3Dr2nqJJbjA8ML9t7wVILLlhoVVJgEYyfwJ0dZ15fvl4561YAiVJQFllN3+dMfRbb79f3BU0r5WAR0qTm+vpMVVQa6RyNdUORdRBKGyV8/7RauN2hjcrqOgirEmSmVRszJAc8SvJbIxQA4TfbL3j5v/lVKhpVBY8DhBX9EiZc2QFZweMHKEUj7x7PRWAFS0OdRlooHFS0asFeU4IN8luA4C16AHolK4ZeLS1wfgvdZoBWD7uscvce7im9uJDz8U2L9NV2RC6zePURFCxTgWxFBxzoxZpAjCzKA0XRksp6uxwwbGDVxH/5vCQ+Vo/lSB9N0A14fQyA1QDoBswGBjnZy+6gmmF4cAR/t9z9i5ZUh3XOzsXgI/z5IQVEF8CUAWXKcDLkmb+nYvhFrx0eKWfKrsP84u5CRdrEYtdrh6MajvMR8JyX5Pvrkoup14Mito52k+KbbHCn3IHEuTCk4DDfmbp3ssVwqOauBajB9DK8L3gmU/z/18FtBfhFWRZk5+AMC2OZh2RdPvoK1NH7fmT9cvDoiXjPQ0Q7e12fj6hmg9Z9MGxIcBNQkO78kkWK/3+O5wh8MMfPr391gfBPmoHZG8UCMmLhXBGFOOtlI9GIhKG0u/HkFhIWB9FKzvKuIpNzV1WSKO3wjShUlNPgiGF2D8bP3lFs9xwkllW8P7Actzwv/49K8hqSJNGcc3M0oJ+Mfv3jKWtnWs2arLK8f9+DMMmTFnyMCaJ3x+P7a1T0WM5Ubb+/R0Qp0TogDpJWD6hzv6vDfsyYUCdY6M59fQ/KGLGw5XQ+CP1o5iuhp1YFxdjhX5bQWGiq1EfHu+w8vLAfVlQLgE9jcHA98itUkEQD1W6F2G+CxgkMn23fyA+ClhONNG850VDJ8HfFoiadijUbALz93yxYYCsKUySys+agTmrzeEseAwFPztpy8xpozTsDEJHyq0Ci6fjvjV8wFhqIipYH0ecfcd/dn5Z0SM8yLIZ8vZ3Ff844jLtyNiAdY3inQV3P0jN/72wFxhfAqo5yOGlSxEUVtD8IxaH3nWLV9UlP9awlNqwdX3+sL86z5nMRcq1w4DcOB0X0dkAbRKiCcKcc72HoPRoMSckFFgK7A+BJQjEK5MuhqdxP4uYzCBGS6Gc8Q18fc00bmjCNZsVCdrjN/WBDXxhvRiCeIMm2NmsvhWzSo7I6kD5xnGK4N9VAsRFNBKx9z6p8x5stIDjOeK+W3A+qbP2RPtgT3FetAojCIWEIxOaQyGRu3oeGJGYhWzdLUHJz1BcQ5/mTywtOuusORPLZlnsA/AqGUM6vI91agd6fCgTBMPZW8+lwJM7wNCBrZ7AFNFOma8fbxgTBnvDry45+uBSrSC1o/ogaErEHrvnd9L+xME4bpBZs7wrKexJyVO33TEa0hEUAaDYyxxlK1AS2nCKu0VwveQXrUE4eYnPej//mZhAg0ARjOVFBAQiPKIJXNCim9prIjb5JZfczRcbwJhJnRemHj18QI6yKiIQTFE9n9gCQjX0CiETlOWzH1VI4sfsOpfSwLglE1tQX4Voq8ewNWENqalsS+URuK9Id4bhaqNnufjhjiDDx3NN0aCFHRhN0OKvEoqmwWW0lErndBUztn1ICbSw/fVjK52bUmwWqAOpR37vMvW22hJe7A+LUcC970wNQFyKBimjIfDgqKC53ogy6IIdIlIM6ugFPvQjigaQyRda0MbSpAmAtcTRmO57G3O+mqb0j3Qg38RIrWl0ifv6G2WnRgyFTkCLjIJAGBMiQIdIuo4sJ9x4SBxCrtVYBra2Dgm1gKq26Gj3P5xamiWr7vAxFiq2Y+05A9DhFwK4rIBYZfgJunUUKG9jGNpgmRVBdVnym7SFas3frb/KSMFzrz1Akof0woahYgsZ4TuCib2mSq0MykCvBj12kfhmHiaegKF3e87Pdjsrg48O8b9CLNAyqnC+uqs6Do+M0BcH6WNUgG00VlVpc0Fpjq37cvB/LWP5mmK+jbqSfbX588Fbe/F5ZYJ5PsBAXh7d0VVwaeXE/IWSSEcKkfN2TMPNlLGR0PFpTbRyWpUaCkCSEDMViwMahej4FBiRRNAG1Ifn+L7IUX4aCEdB6ju7BygWFUuwGGETqQm5xPnVIaFbSBhrQhLBYKpTVeFPC+QeUM9DCjH2NoU/L72iW4oagwgT5y7b9izCUhlt0KE0X/zQXriuDvziguqpYpgqvJjykix4gz0/n4bPRZnXtf4pBhfOK/UW6q8CEgHbLYSec3DE+MQF90heKCI2os8deAzF2ObKKTRqzUBeWDM4cr9YuFg2IAYBXUDNIe+Jqtgeh8Q110BCH59Fh6KQAaPSRRyzNAYkS25JYKGVlCNwoKWKNq8+Hww1scI5HvC3+kcCEzcUCzs7+DJHaCngsP9il++/YQkFMdaa8If9AF1idamAyCDYw6znRkB8NGW+xYktwUmuRVh5fxnBIHkETeq9rsxdunzAlHF+uUR230ky2feINvSfjzfKUrmMygDkE9s9RifFMOZwqmuyH7+KdHdOlUr7jBmjKs2BWgGlKCyclJIjq3gNn1iPDp/ySSt3mccp40FxkUgi+Dwge0IyxoQj/Rhw6VCqmCtXtgmmyC8cFQkFMB3pNzqXxa8ubviu48PKJ9GeOGeTsx8mrUque+SwvaIdFXE2YQKPf5OFHHzaQ/5ktp+TRfBF/9bRtgU3/63Q7MTbCaGugg/UywhrdL8YrpIo9PD92Rlz/DdVxeEULFtCedtQr0QCR0/cYRQGQXnX3h+YjlGUEx3K6KNtKsqePruDnJOGF4CZ4Uf0HV5LgG4BK7ZaOtTBIiKw5sFw5Cxrgl5SyhzhD4n1LHi3dfPeHOc8f58wufnI6bDhmiF4pAqi/LniDgHlENFORWE54TpkzZRqXDMKFPkrPvMWExWAx4CBRXXtxVxiTh9Q5+/PpIiP30SDE/MebY7Xrar7jvbJ98B5aGgrh3I+qdeP1x4yimer8UeXEwmCCk7NkZF/TASgWwFcc08/EJATQE60PqqCBEJPxgd4fGgwAzIqwT+CqaYGzdWn0izkv57+wC1BcMBL5+OHA+TQzfkjXSw1oe7aEcVrYrv81+JxFrAaT1avG722bEn0KiVHthXM4DiQZP3NhrFZLGDENoC6z1q58mxO1WNaIqVAA8eYBeI7CqH7nT3QYqfd7AEquROXbtJpEBnX02Svkw+V5KOYp9wOc1ANmmBYUMZBSYAYJUpUwUUo3a2ZEGsErZDAjlSiYqYRAW0PWsdmFFpjL3CvuRW/bcPaRRKp9bLdWUfrSNetVdEbyhtjpqZcBUNT9Aobo2WLz1p2P7Ihqx2HWGHBAYY21nYFhr88wxxyrCeYn7de1Z9Vq6I9e0mG2tiFcawCdH6LaAC+Px8xHkesV4ohOAoq8/r8wTXaeGhADUzCGr7TQEZedJBIbgAAQAASURBVO8aAHUV3NLt2+nCnhyK0XAaUqRo1f5GcbHqK6DQwkpt2Pj/yZJr/znaMg+a1hPv7QNWFXbRleYzilVHrZ+dlL0ecLTk2EWmhA7X+8Bar639SlyZlITCx+79vy6woJk0NpqJuvlZkcqpgX2viWoTmoouvFNBFoDv4YAuOBRgbR9my1ZEcMEomVe46v1NL7kykd33KpLK8apAY4Wf9v1CZo7Mt00xOnZub7is9N1DBFJgobGSXeP9+a+Zu73PvPurlhhYj5oKkO9H1EF60GUONV5ZCd6K4Ho3Yk2piYzoHA29FYyfPcmy6w5oI4AafdTo6sOZSfGN/fo12+PwFhZHqpzS7tRH/4y9zboROLrt9+K+OwS0Xi8v/jri25LN2os4YQWgwv7LSdvvaaG/xUBkDVAiXVsvCvv918jEimheT2AcaYtXo1z6qLGwYxgdORYEY8VsIiQhVMQElC3w2e8om77GVJVlkcHXx315R8kFdYi0uWIsGbdjF0GrCllN1X6I1loDMhbs9+QVv02PI6oXLWs1ZWBlW8ZWrW+ytkKNi/KUuxFy5Nz1sPHnb8QO7Xmm2XyT9qT3xuB3f+8Lme4XgxXM8sEStwLIxfRHjgH1gFaIvS4jWQtLNERTmopuOne7Xh/483E/pUHQi4jFHwIppd6/qgFE4C+Mb8oISDJb3HZnhPSWj7iLzXwckrOo/LMoXhXgxUqPZXwMVjAkjKwKCoSyeG6JfrAkuYJoc5W+tlZUJQLLz2qqzgYc1IEsA4DuVcbuh0PpzzMf+D71VJFOGafDgvu0tFnnWQP+Nn3R3BEL89KuI818tj4G7vWz958DQCbGw6HZvqiPY9xVrdVi1aqIl4zjXBDWQh+8U3JiTyjfe7sTLG9sb+adj7DnHxcAATeABYS94Os95x+X0cSdxgoZK8L7hOkDf8/ZkaSrAtgC5jMrbDJW1GPF9etEfQub9jBMABDsHLbtLADGCg3hlh4ugvnzhG9cdC8pkAXxOe6U2q3nPDLerseKkgTzVwFhIyBUozEyrzax4csCOfAwFaAVXWoCrl/Exqaa3geUoyIfTUvEYlqrmqOOwOVragyVCTdAUzkpmYsKnL+5a0UEKJktAK93eSt9WkMA1aGDQu4y7o4LVAXXZaSy8ErmmgtzNbFCi/kamAYAAwElCRR4XdeEdR6gs/UvV0C2gM+fT3i5TNTzsR7zGMj8i8ku9FBY9LS3rkuE1K5HVHKARNgMeVjMBianBhSkFxaUNmPH0U/xDE8zkKEQQ8M92W3U+ytw+rsBZXlFzfkTrx+O5N4d+0HzahYdr0w4XsXGrTg1CKoIzzPFS8YBOiUEDNhOpP9g6EENAh9CWmx+qo0CkqIY8i7otoUQcOTNcM4oQ0A5xNbr4rPPWoWhkgqTN1aFnObiyVm8CgcVb4p0UaNhanNIfihPn3nwLqv0zW6jh4Zn/tz6wIPDDzIpRlO24K465eHCJGO4MsAdLjC6EqsdXgGWwko+DYHBieR+uAxnBozrG8F2MmSo9Htz5NnpSBrRhS7sGllV5oiFUDyYorhEk1a/3x0S1WhShZsuZF67U7Yacpy8l4g9EgCwlIRqvYohFmTvLw5OP2c1zosdgBplr970S1URSCKKVYfQ+rpkzdAQLLln8M0kIDN4+vAJ5dNnSEqQcYTqqyTXgytVaGbSKk5T3lObrXdc90IouXAf7IStRC0gsJ6vuBVUK/g0xND6Px3dc9GhsHqSYslMFSBXBGUvQ7WxGDV5MYDvVebAma3XiCww+mYfv+B24xRZF2VyJF9DuBHiKaZ6bbuBf+0S2Db6KbHfxCmcrQdHiJaK/Y4KA4K49X3ixR8N2opGYgmQj6PRILcBBAydOvUDg4khq4tMXB05ll79zxbYNREMBkP5nmOLenCq7EESRXlJiGdSvZMxUkgbskhhNfGa5hIt6A2g8m/EzZ5UZRCabARN2LQVnvjRRtcDLCkV1MNAv7DmRq9kcpqBeaEGwf3Jem21zYNmT8IuyV02602X9h4oytm53tsOQK4L9HIFUoKcDkCMqPcH6BARLivk5UIE+f5IXy9UTtdQQWGyCA2x3Y8UIJ0L4jWjHBO2B47iSZfCxNfmSOa7hOVNNNSM9D6oQAab/ZgZ3F+mEdvYbSG+UBgwvQB3v+O6+kg6itJ1BJlBRkAtguFCO8wn+tHGCvEA1fxl2AAf2eP2XUa0XluuJXY0RWPhxF0wXxXVBMfC/lzbuxbZ2Ylw5BAADGd+bXsABUasd5ejI3pRWE1lNpxNCNAopfnA4KrP5lXkh9p6+CGK+HHA+Jk/J1aoYl8ukB8q5HHFkCrmdQDJAhUpVqxG4YyLIVvFglBw1NLwUmwtTKBr8eqB7+MAifRTWOh3fWa1F/eQC+S60sca9RgA7XzbgG0A6q7QqIr8MCHfD0gvG9ITI7G4FPqCpVghtQKZNksdD8H6ZkQdyaiIc2lodCvqBjHRQ2V7j3YEG0AXPfICcOlJonrOV1lULxPH72ggrXNw334QOrRHJrrr1Zhnc6T9LKSyxxWYPlbEDbh+wdaidDHUTYB6z2sIKxOichRsAUCqyKeAYMU6jSziO/K33fEexk9s3/KzQ60gDQDxmefzds/kcu/Lp4+kzodNrGWHRXOIjZRJRt02ECCuHKu4fAGUUzVxs0o6pukw1ETfqteeXIoVUdc3FjA/aFP1BUgfjXccf1IOAVoCtimxfWhFK17kkwnQPWx49+aML44XfDFecIwr7uOCTSP+1+GneLG5v2Elo4j7nT2qnuj286/7WEdy2cscUN+wpc9jzXyMKIdgTEJj2hwTJCvSt8/AxyfIwx3Klw8oO8bC8CKNdbh8KTj/nGOCDu+lidJx/KZCZouHja3nz3N5J1jf0A7KicWF4W5DGgpwOeDhNwXzu4CXX1pR2Qs91wBdR+ixYHyzoETF+ZdMzMqpQMeK7QPjJ2eHiFG94yGjJi/cotG9pz8k1I8R+liBhw14GnD4NphvIdq8Pgq2e2B7A9RjhkRFtn0SEym2y4cjjr9JyEfFj//sA35094J//PwGL5cJ28ZgpA6K889on8OzYvrAtVi+oCMOxr5w1kA5AMufwXyYmO9ifJ4fKsLjBv044u7XsalsA8D8JbC9qSgTMH9thXTbc3oqCFPB48MVv3z8jE/LEZ8+3EPniPQSERYW67eHwrjLtISwCpHbQMcTDwU//uIJAPDNp3ts8wC8DER83TdlAL87QEGkFAcy/VLgdIJhzIgp4M+//IBf3n3Cby5v8LunR3y6ctyqj2XEEoGk2N5U1ItgfOJaLO8U5U3G8D5hek8/sLxhLOfJMBkGFVIDk+IRWN9V1FGRngPSVXD8RvHmVyvqMuNv8M+/fnhPrldCszd3yO33vydsAgZmvg9NfdZVlvv7ivVoWIKyF5JSGIKKVulvwgC7j3s9FmEfmASjVoH5M/thhY3Xvrlh1UgXgLmhGu0CziYiJT0ZCUAPboDWjwqRTt2p/Xv72Jn/w4ojKyT7Rn9z+rbB1A9GZ2rVXaV/j3zWfpjeQCh+LwHszYUnVU4LlXZQVIDooljwb9UyTIV5XiRnv0giOii2yRrSYYstAGxEgVY2ssegWA3JbTMgd2vTgkNbG7/PLs7RKfOaWFi57VWVRqH05+ZUe39YMgyQcWTwH3cQd3sT+/k9gvvHXv/U9/xla94ScBMR8oAe0aqSsEHx+fZnxVR0mzKs0wNsb4gllCEL1PtqxVkF/fq8+hZn66+xMTXB5rDS7nnQBnTEaW+wuliAZ3vGUTg/mBo1y4ozrac492dqrcjtWcP/tvvhG3tl34KFApCqRDsTT6B3e/2fennPFv9xuw/bKJbIg6O6cIP9LARNGOg1LbwhehCIi69UINfbH3T7v0madn6B1yRN+t8Fp5rIhaGzrU/LqMgaBYIAJFDITIT2vEdy3ZZfFybHZEVFr2yI2aazG259dPvZYMmG0aR9D2kKFsTYg1GBIlgC0RVSsXsO+3Xs9sxEH9au0H7chNrcv7EoIEiXgLr2YDZepQXNnogChhoH8Lpf+Xe+pyFUVgi6YbS4zRSzPbfJZtO9r/7mlgR8Tm6n7tvcT8KRIO1sgt3yaAWQAY3aZo873Vkq4OO8Xr88gdIIm8trft0Kj61PcVJSYg8FjQoI3wfS99j+eZkt193Zwlxeut8HuK9s3zVbV/Cc9/N77xOC2NqabzeWjhdyWHSwM9iL6QCa1sJAf+7+sl3b/uf85Wgq0BPc3d7gHOrAwp+1lXjhPGza9mRD7QsgaefPqvtRaQXtZrd+Vr+yLf6e/a393yEDugryNZGBNkdSlK1fm7T8bpe+d5tQY9aO4O5sXzZAzpHXuZpoThVShPMuzim31+SUfT+b9/a2t5G2t0q38bCStcTf251Nm9+rJcR7NpqChd3KGGU/HrExiKQXFF6/GiMnKmI0depAsbJt9mDKnkNAQ9egwLIlzMOAT9sR1zIgTNYS4S6w7safwPyAXUsThfL3tZ9na4tAdgJ97fzTrk+wb0tpIwlTZN95iizclf4eTd19YHwxuLK6orNTXIHaYt0495i59dsX2i1mUAV4Y3VuKLvnHW+fd7qaUBEAvOG+jzNttI4CHYhUzl8BYRFMHy2WKUBZorGtmPjCE0obsZfvgJAqStLGsCkHQS1qlGtbgOcBNfRzK48VZYytAKhJW9E5Bva4b/5M7J7KCMSBBbUurKYUrCwgFXfjz/lzLZPHoj22qcYmujlnfF/u55ULFam9naCusYk9zTlRYDMLGZQjoIHxorYqGhAWtgUy3Jc27xoARbdKuI2z9jFHABAUYahIqSAKRwk9HBeUGnDZRvyX5y+xlYjDuCFMBWUcjAkjkGUX5wQ0wc64AHiKfL4T939qIIjhNAc+3+KTMADEi2lQrLu1C7dx7D/1+sFJbj0m4DlDzlfgMEFP1ijpQZSL8JTSkgMx9AEpQlNEPSTUKVmgxgPGE95QFLJVc5jJElEzysX6bVtDfqea1FGQEU0YYR9lqKnxMXEI0dSPLfgbXgwh2HoiKbWjp45ucq4fDy1WwoNRk0xkYWN11McsaDThqk/dQYla1TJ2h++9UWXgDDNWPSspuZkVorgqxqfakRUBypMfuE5L6weRiwnFmRX/Mii2e6vuF84/rSLApEAhGiKbVQHnHvy4KAArU5x7pV+uePfujOO44evjGWuN+NvvvsQ6J5QlotgA92QCDG6kYSONbUPCM472aKSDgm5fFiTIDKvaowkRxUUb3a0FRxXY7hPyicPgx+cNUEWdEjAmhDVzvFWtDJQCAycdBeGLN5C7Y0NepSbg4850cgZKIXo7+Oyn2pMFpyzvZ0b7XvC/fXZps8WCveS/FHBUSgyQmsgmmNmnw4XjPTqFuR2agf9fNcBVPocLUZE6GKobKcCwP/QdrY0LMD2Vnkx74WAXeGkUjC9oCJQGHnrDC5GZfNx9XTxQ7EFZo1xXAKaW7bbeKJsWpHig2MeLaPs3Lwa9V83V9/yAdZT4j72Miodq1Lva36cti9mYjzGoA1CPFcP9evNWIbDncQ1WiTd1ZIAzBzUwFs5CSs/LPLUDNYRKWtQS+wFnvsMTnZrE+rG4532ERB2ciuzXKy15YFGwJ0biImlizIIoRsnKDc3V2mnH9f4OWBQoG9HbhWO2dHMebYSY+JqcTL2mVt6o2Xk9DsCBbSnlmAAF0vMCuRTocSDTwtkInuz5faXBUHUGZZ0uug/23B4BBRMMFl+s38zGujlq5KhYXHbMBFVqHuRqVMAe1HigFUD/wiJj+F7g7MI67FlDD+B1Tz/HbZBtNm9kD54DsL0GVrM1wJ43+7PyMfQCqvI+4qbIh4D1gfunWD9WWIHhU0RN2sbE7QsI3nfrPec+Xm+7o71vD4r8WCDHjHfvzgCAz08nijCOinxPNlUTMLTEIsyCKgPqXUY0gbVSAmf7usCJECUOKxFyn4HbipbmB71HuU58nqkUxgBBsD1OXIPzBtk6fVmHBD1NvXCYK8XSUoTWCskFUjvlS48JoSrShTRPVFDUxfxTmDOCtVJ5r68UnrnDE5/v+nbE/PWA4Vpx+Ib3vL4djZljcUN9tbed6mtnWFpuqxF+RpaDYDNxsHTpaqXeLpLOXpgkr9fbJZpOgIkG9YSGrR6ixn46V0tkgs2X5v4bn4DxKdLOk+0F8+F1sOdXyJrYq8pDGKRq4HUR0RUTLERDvVqRfjHK9EVu/H5bA6CxaeIMjC8VoRCx0yQ85zLYspF9n0u797jwWhu7bebtxoV+M98p9C4jTAWHacOYCo4DEd2/n79s7BZeg7Y+aJ0jnuoJ58uE9+cTxpTx88cnJOFkDgQm7eNTP8ecLl1GQdwEPmrRWRgNcQ42Gq06QwWteBi2uhPT2iXKSZDfHhFOo/mc2wJXflSshXtu+qR4+18qyii4/KiPYqkJmD4KR3cVj1vJDsyPLJYc3vfrLFPAWUdsp4SptR7AVNf7fj79fcDDbzI+/WXC5euAekl49zfA9Fzx6S8D5q8BfL3gL/7Dt/jd8wOu/8tbpItgeBHUdUQ5KJYfZ7JAzkQ/D+9JaV3fCk6nBVcAy9eh2YwKoGOFDhXDx4R3/4uJaS48O5bHRNGro6H6B8WyJXyajxBRHKcVcxjbWrtOzWIaAdujYntTWFjd+Gd8ZruiRrFxYkQx1do8ACA9R6RvaVP5ZHvY4m8pvYdXAwVg45sNachYvz0hPQdc1oDfCLDMA+JzBKog/tkZP377jG8+32P5cIRToGUjUp/O1GrYHgU5oINIObS+Y00KWcmC02D9yWNFetjwcH/FadxwSisOMeM/vvsNNo34f/yn/ysOfzdi/vMV//2//1vkEnH+6ojywn13+Ia07nIkS3T+mv7p4W+Bw2fFp38TcP6LjPQp4vCB6/PyC7bapEufGABwL7/9a7bOXb+E0bIFl68T6rofffCnXz8cyRVuSq0U1Gl9dbvvf69f1xIC783dIwyiRBO9r9Gr+I2bD/SAx9EAUfSZulY2QQ+2v3fJRi/jCBFGGx6Ex4UVrWRBEYMae5NdRfI1MtXe2yqKWoFYQMqiIWxho7P1kS7+cgpcS6S9ipbcUdoP+PtbJbYpggqQLOEt4y1C4A7HFWD94N1TnkXl5noarc7pzZ4wiAdGlgQMrPZMAxXY3k0XbDXid+MjSu6c/p6YoSPu1U7FQg4/gD4Wwscj7DNebUuANoNzV0Vsz8doQHUwZVz/dafU59BKrFLM1hwNSwGiAzQXQwdeQXR7NMCrSP75qg2dbbb8av5o/1va/9+o8u4FhBSGVjjd2hICSEtwb97b106M5q9oitT+rEPoCZ2/nA0RV86l3IujNFq+BeNUPmYPGns+9+vLOdUBtqc8UWhJrvZnqOh7GtL2fGcr+FqhB8E37IOe7DT0OKAJEN0gxv6ZjhhZISVoD978HvcoigsJEb6GVfx71ffmsb72MZ6A1x50ahFsW2zzLFVZcXfBKq5339+0h53LcYojrJASYBRwh438um0xWlV3519vxu+4Ly4szfsrBei2G7PujIdqTk24p5t4lTEb+Fm+fmIsmh600fdUE2qLN75bQk90W3XWn70Xc/b7onY0u/swRTBqvla0eZOhBf2dAu/PPGyVaJ0Hh7Z0bUSUP4/MgkY0JFeaQJkSvcn9GvbPDua2m+nufZgvVbs/+7eJIzpNvbXX+J5RK4guvF+otKQawkKL+n5K5hf8/fd7xZN6ZyuE3bmUKsJQcRypqinBz1PtzKjmI8wsrDBas6CaTZYSUEsgdbr0z6P/381E9uOt+Rrz4YaS+hpA6NdFBSEG+sTgNo7O1Nn37aYItJnR/bCoMZgPYOLaxq/Z3pJm17Z33L9DIVoak6cOAl1k1yJw+3y7H9rFMIXsClfTBUBky/y/24D/Phlg/Y09kVNnykB6/6vbSu4FxvZ7hQmYM9Na3/v+j81UbUmY2DmS2XPpYo+uS7JnEfQRTrZk0p+t1n4OiLOv/FyANPuG2bcosIEih/tzwYtNEgCFdv/pbIF669M1aD+r0e+XHElqf6RYkGLBMW2IofYxjM0f9L2DIsASUargCiAPEc+HCWMoTXeB96DNZn0dEGlSN/3s0p9bG4nkRcqq9NleeNmdi+1MBmMbF5d7/WrtDYF+anjKCEfSS5tv2p19Ull8qCpW5IWJf2o/z4siXnk4Nv0X9bOL2h8qpLGPnzLiNTG2U0FavA3HxJtSxS/uPmGtEf84vDX6PgslZVJgrEDmCBw1XxacvQk0hW0X2qMfqPR9sNarxcVqFSrRYlrBGqk6vGzp9lxX6TZE3I2MRZWuZaPa9E6g0sb+OePT1cibzeUe+7vgZWsP1H7m+5kBUQSjvssGyCZYl4SyBcTCdRiGgsdpxvt4MrsX+HzdniNI80GlSt8KcvuHWjqmwhyAmArGVDDEgqoBQRRv0hWbRmANGD8D8xpwiBumlPE8mP1m5j2arI1MjMGQFGlRDC8V0Ag5ZdRLgPfQ10FRDxWlhHbNvibNZta4mw4gTZj1n3v9cOGp1VCnwwSKSeVbpxJDpyO34J/BUj1xXlecM+LnGUgB5TjcQNGSbRi8ApMd5tkUDTudw4MFyq8DQB0CR05silQoYFUOPEgOH9nn1VBed0KAIYOwIKNa/wut1ZMGV27mBfIapidWg8uBqEDY2BesSTDPEWXoQj5ltECh+igeNMQAR7S+qcOHfkhtx9Cus4yC+V3sh8auuifa0a59AuWDk7MdXMOTYhAeZKSkCKpVFuvIfi2v3garvLojpKIuoJugXBI+phPO49iEo4r1Pmxzgqx9rIsrmnItef/YOKuMX7TDxYKi4SlgfOb6agTqLhgWQx81APkUe3UTdP5x5cGsIkASFEMFyjFC8oiwVcTr1oJ0qeBIiXkFtgy9XqF74SmfBbrllhO1Ag3AeaKqRHk9+N8nFJVIjVqfLYw9IFuBbHS6ewq0aEW6ZLh6rg6Bh50HU8GDRgvwfJ6kn6YKCq/ZSI5kvbt1VwRxVkRc+L7RUIU6uK0RZWoJRZB2ODsK4++Jqg2F8n3RGQ+7QN9tyJSTHWXbB/txoaKpV0Z97+3Vg1vwK4Cuxn4Yu3KiBkHNrIpCOXpq35IXso058sNF/QCSXsQJ/oeHzbZFxFgxTRu3r3IONYaKYqhLvEpHrgGUleNbgIhVLUK0AyldrMp8kSYO42iP+xoGk1zDOrAYU0d7lkkhY+hJZGHvq+xVZD3Qdzv0P4AljQVt5gcAuSwQ50cnjnuTqoCNyYBRQnUaoENkknCZd/uETlkAhLUgPlfcCGIZ2hxKRZxzKy7BiijsUw+oo7F69tS8SERjeEYrZHHN2ZMfloA4my+oHrTX5h+bvZoSbpyNRVEZ3JcpoJzM1zcRNW32l2zjt1FAz2oUNmk03rhWC1idqmx/7+7lNf2UX+M/0upr1ffCtBNx9J91cR/STXtPLgUATRwIDJBcnbIlHXZmNWaOJRLY2K6jS0QJwHVXKZegQKbeQpypIsr75XVtK/tE8zzgvAUgKMQEfcIcSBc34ao4a2MmsZ81wltpKNrSxbDINgoIa7R1dnvnTHQdE8o97TCsu2JNCMCyMh4pBVi3m2LO9jhgfKoILzPqYUR+PECHgO3OVcQrIrqfka1SRVwpaIjYi1NlEKzvprZPw6I39jlca0M23ZaGS2WMsFSUKeD6LqIOwOGTYjgzPkmmou7+05la3j/rtiTa45YyUfQmLsD4vGN7wQpvNirt8jVVpNcHvufwohietdkQgNYb7S1brvYeiul9VPZy1wEWSLtfsWuamZDkic80mq4J7cb9GwCw93h9MFRrqWYbdmZPwPmecZUUSxa8Rcz+UDOFFM0agXpv92Cin/keqNHQpQHQqTZRuhgU0TZjVSZe9WATIzb66ngF4DReEM0sRVCGiG/CPWKsWOaRY7JCH0/naLrHqnUAVkdw0ZPDUCyuHPz86OsUirKotdWbok+ai81vLhQGND+nHuwBOP6BoyC9qPH8S9OeKYp0JkIbMp/R/JYCUC7Kdf1xRb0r2D4kTB+ZeI7PLII8/i0ACMaXinStOH0DjM9UkH/6S5uDOwDFtCjqhUb14a8EIUds9xSiKpcB/89f/VuUc8LRppiUwGJb2AT6Qh4rr19x/QlwBW306fcPCJeA47dWVLNnS1G2ipoUL78ITeOgFVCq69AAYQnY/uYRmwLbuwI5ZYTPCcOzMVwedSdZQRbE9DHZuWX+d93tF4hNeeD9RtNYaEXz9tCltQBSv0fb3xoA/W5CiRP0ULH9MrNI/sSs0dHl69894H//Lw+Is+B0MRbnRGG2858VCrNNBXHiuMh5HRCC4u3bM0QUnz7dQZ9GVJgOJdCo4dVaBp/mCd8+3yOGij9cHxClYniz4On/Ahy/uuCSRzzPExkgn20MqSmqiyXjfs49/SvB578MWL4sbA1I2nIrB0yGF4632u4Ey5eK7RG4/hRAjXj8FfDFf97w8pOE539Nstm/5PXDk9yNjScustP6bX32qCe3UYiUFQU2E4wZIsrEJDdcZuiQEMyxuZhV2AoPMGWPTB04N/cGIQYa4huuFEgpdwMwUVY9rNXmBiYgKoZzRlgK6hhRR+8Pqzc0Dz9I6xDbIeFOZXtIOzoaK6PpQkqV6MAk71oxfl4pIpCmhsr6geVCTmnuSbVXgWsE0kaKjlSq2xWjKQkLIdhciGnuFZuOCPnhpC2YkcrPzAf+f7qiVUeLiUR5fxoPOWVBPAC4CoZ5vzbcuJIE2ALWeUAtAR8BBEOpQiDMJtuusmSHpCMevgm83OvK12EO1ldH6X94Mu5ollXBeDE2Zga9F4rK2trozbS1QOqUVenCyj7BFhzVypnOW4YuK/Q6Q0u/aS0VKODcxSCW+AX2XIbA79dym/h6wudKtoZq6b5/0ZWdLfpsfcTBqvwiJtITrFJqRZwYzVFa4AtDe0NPsMNWIVvl3jN0rebQEEoVQbpS7Mftxmev+vvuh5z3qrAwSVkr96KtadyJPgEWGBkbYt9K4IGJF4P84Gm/t1SkayH1xxQl05UJSbueIXBdhPfOG+iMEDVEO/i8PDBY8c8WK7qwrxe9f2xPMd1X8Q151QCkwF7crUS2X6SKOrLSCKBXZtWCwhGQRSCFb9jQbRvxkeauaM0+c217ky0KFMMphwDXGWjCJTb6IBr195Ya68mRGaIXw/YMg1e9irJtfQ1TBKaRVWu33YFFHB2ijd4qkDnAhdT2ibRsBXIljVN9xjRs/+dKwTcAOtGWxUR+dDKuOABHwVrveamIsxLF9vaVpSDMG6Sk1kvONgC14M8Q6BBYSLV5p7KZqJUIgvp7mg06UtUKqLBRR9L89PCcEeeCfD9gfbC5rkaLa0iZaEfovJYg3Sf7nlPrSYxrNfEzNNpr8jngSdo67JEXFAZYGgDxXlvbq5K7km0dd0Wo3XU48N/2xCbQQcy+fW8pYAqaPuuzM2nob8QRXY0UqQH3UFw98MPuj9Gxp0CatZ0RNVFY0sflaSDFtI4sWtNn+PUqilHi41yAixdiGHOI+3RjEOiuv7ZMAagFcpkh04ByYCyQj5aYjpFqtebrBSB9v1QKzlXavFrRI58i2giYrKghoIZAhsFiZ/bAAktcWACnZgKT3HxnarMXbQrG0dBfsYJLObIlKgSFmlBgS4YWsnC2B54VcWWyjKqN9q2Vz7EMVLetI0f5aVSksyDNtSXJnty2RMuL6cVmVdtc3zLQB+0Zbc5GGa5qRZ+unptmJm2tp7d4oSiiDIFMFyvuhQyEBGwHmwNtPiysAhmteGr9iDBxRckUAFKj7scFNo6JyUo9KjTZMxSuR7A//gqhIg9KpNxYeC4k1IL2yuKcVsF8HSFBUVayFiC6K3qh92tbgdILryEDbWxe1TYSTRQc1VJtj2bTNChiRSAWenBFi2FaklsKpPSi5fhZkUzlv0wUTpJiAp4bcPhYkM4Fl58MWL5woTq0VrS7+wXncoc0mz9+ps1Nnyi65sX2dNlw/H3B+nbE+ReDjRXsrYKyBWiqyD9bgaDsG64CLAH4MGAwijkpwvQbbBvoDkujojxmyFiBl4T0KSJdBNNH3t9WyCbbt2Esb3ctLpWJeDp3HxpWwfH39JFnjdiUvcRx7v7SkWKIYniOOLy38YbOatiNfxRV1Eaf5/qHjbThfNe2yA26r9bnq5bkShWkFyLt288z3rw74+n5CH2ZeJ4MFaiC42+i0eJ53taRhaJyVMQvF3z59oUirqKYt4Tn8wExKn7y+IyHYcZ1GXE9D3AWQT9PnK2lWLYBl6cDEBS5BKRYcXdaIHczTuOGtSZsOeJwYXtciw93MZCDZeefFOhDRkgsMPVcA+15xAWYPlvxc1SUu4q7H50xxAL9uy9w/IdnXL94h/XLgvovzHJ/uLpyCsCyG5HiwbuwhwbT2CgXYV0ZVNUKCQHxskJyYv/MkIAYGHgIKQ+vE1kPvNO1dFqbf2+PNgGsxBZHAehMh7MF8/u5uUb7lZ06rwaBeK9n1KbcG9baKHNqIyZY4TS109gdIa83GPpgEAD4V0tu7cx1apAKE4Xje209p4AdDE2siuvSqq2G+HjfZh0CUSULAngQevDLDNsrv1B+rlgwPrwE1GSjIKT9OJxa4dWrNgIo2FoUQZGA1WgfqsLHNnPGcLxS0bH1eMJ7EDoarrsA3Ye5p4shBQJL3PrGSYu2xChUbqySXMJeUAajJ1pC4yqtnmQ5Ug8lyg8VhNp7D+V4gNQAeJ4bmPUIQEXZwUZnOTshOSdIWlB9I/5iSBWbnneJl401UgTYKFHalgePUMgQaNN1d88r30f92drhq5WBhYpYz5oS5RVeQ7BE0ZGgsNaGBHrPPPdZaIiYRhap9jRgjcZmCB31agmBX7oF5p16KvAqj9stx3T0+/K1rsaU8B5KFx0SpxVWs6fdfttTtjot2p8/v1Ym9mq1n/fg3m19hw5osKVVBnd1iahbxOeNSZJaAITngbPqZgvADYmFWl/7wsAxuxR+tj1n6pbx2lGPvXI7YOiNxL5H4An5zv95UCVAHS2Bq476Kwsjjfprb56S0eHCbdKryiTWmSpbZsLqwoJe4KkVsoFJqYlesY99b/TgnF37PXjikQU+PxaAFUrFaHkVWllYZHBibIQxWDsB7dn7ddt6DBQXirONCssVPvPaiz6CCtWI4IUhQ3ExoLW77MViEC0xdVtSrnW0NXTaXNgqkvcRGb3N20SgQHg9n7XuAgB7z8Yut70WNhaR2rV4UWP/2K2wpEZZ3aNwoYA02opetAFaQLMPLtz21f2INZIvS+JjuSZgo7Klj6Xxdfffj8ZICiNZOBoE5crrTmcbZXO1aQK299uR6HvP7s8TZ2+rIZpnBRJD++sQAGN9+TmlQ2yFFqnWy+0q+CFAWtURSDPttj7cQUUwvGyoQwQktaIERw4G7qlA1g3MT0JZ2J6eo7GK+t5yIaqwMU5pjIOFiGFcaitmhK1gAHD6AxNYp1V6Yc370AE0P1lG0lP7upvibqWysDN0PDnmOKvdmePJsbqIGBPXfOB6D2ezWzuv01KtP7yzybYTn1X1BBcW3BYyehpaduB4uunJC3dm58agE8NCpBo6rGi/560nZLrZtRtFGiqoK+BVm6b3EXb/r10MKCxCGnKwgreyVSKvCR+fTxBRJBMSzPMAF7SSJn5l7zehrX2YOd++pkhf8ZIQ5oB06YVMH0XnL2dfNDXhXaHi5o8XkHauGbC4xeaDlgNBovFjbXoNr19pVogzPGydQ+FejKs2hXCVsfX1O5qI5wHna8TwKSK98HdcIfr8Y+rp+Dz3NCumj7nHnlZsmN+RMZCeOO2iTAoEO7eFXz+8t3PNztzpE9e+THwPFmNoOMN3ydaWMUDIVAR3Wqz7Dx9Z6THj+JE+KJ+A+Wsreox0jsXmgk8fBePnBIiNnDLbliyImdcUNpjGCbA9+n4SJGhjWnBqCXohp3oCynaadJEer8n3n7FGRb6nD9At4POnE/A0YPxExeds/b7rW0U50ra9xYAFL0H5zRHfvJ+I5g6Vax448eHzfMBWIuOXoQJbRDoHaFRs70y5vAg+PN1hfZowfEttmMvbyNFR1k74SYHf6jvgnBAe+wQWyYDuVLa9mBrngBIS9HHD3WnG89PI6QWVhQUNAWXiGKb1DVDuKqDA+tePKLPg8UmxfXmCqGL6JqJs/5V6cjVGSM3A4l5IWvAvMUCnEZoCwrxwrETre2H1PDiV+TAwyLFZd9DYkiDvlfEqenpegArU08CqvOeW1gcGUYSFozR0TCiHxADo08rDa4ioiT09wWhsYWWglUfOVpWttkAuDFaRXYsFT+ON+BGr8SC9xhMxYaCuIg1d8CH33t/A9UJLcmsSTE8Vpz9sTESs92soPcHzRM37ZTyQH84Z8WVFOQ6oIwNL/1wuic3Os+Q2ZL5nPkYUtSB7Y6VxcTRL+/V1IR5uQleNExXoFlBVsApIAbJfjeeI8TNH2oxPFpxY3+TwBMTZEKnU78PRLzHHmWZDMbxIbzNx26zk5iAo0lIm6wG0+/VZjHfvZ4TzgjoNqIeEYNVPFUE90LFFALjOwDRB7u8gNQEf7DGFwLJyoJIhfCaoB/UuNpVLC6xgaKvbOwqRKglMWls/Y6mQhJboukH7bFKZIpwO5nTlFrM25BdAMJu2xDzk2hIbH7fjfZk1MWDxnjTJtY1YCsGKFE4hroIqe9u2Gbw2q9QVPONS4MUVqKKcErZ7HnpxVgSlwJkKjM6vLcF+1RKDfCALI86lsSqkqiUQvc8TQF+TY8C+KCZqAkcQDC8MRNdH6eJupsAYF5ha7S7BjS1+YrC9As4vks0zCT6I4YliGX0smbaRTKT1UehthrQ8H2pFnEW5P15qXwP/W9CoyWJJPf2c/fFDRO1noiJkJojRRqBAtSNQeZfwjWO3jVc5mA4JOiXOljbhKVhPOBfMEtImRmVI7rrRnkOwAl+EHkcruJSegHjiCfBrW71JtJtaLsw+FA25D1tFqLuio9lDHSIZQeelfa0JH9Z+7eLK6KHbDQBUZw6tVo2OghoE0QJQ30O7HJNJRCV6lxQmOhLgY2Hcz4a1GnNhl6i57XqC5vvSkNi4AsGQEk2srFfl2ijo+0NRyIxGp6tJICMBEnHlSnRbcSZRGdEEjKKNhGttIIbW6hIY7AOQc0RYAoazYLjAekT7HwVpmaFwIkA5oyVDe4NOV2A811bI2Qf/EIKjvAb3644Gkc3kY7WkAHWKLEibL6DdsmAjqxU6tsyiZYxsI9k9vfS8oU5H1GNCPG+IHy8IQwLCETUGPtsgqGNEPkaEJIBObOs4r8C6IV5WHL71a7ZWqhMVbtM5I14yyiFhfTvYfue9x6Uay6YgLBnhuuHhaQWiID+MjWnQih9eVPH+3SQWvyjStfAsM1scqiIsxipYC1k8Md4wyeirub7BRiLmA8V4hgswfS6GvlhyfmUrC5PmiDIJlgfaZTCatDNfZAOGC4PT7USUfnqqmD5lQ2dCp9UHoesw/zY918Zy677XRuAtYDA8e1Efu6Ca9PB8R1sPBUBBm/XszLXWLrcJCjiHVVdgPdOfL8HPk9AostGUc51mPX8lyIO296ybUNU4KIZPAcOLq1rzcx2ZbT5WvMAOjEb5bsWi4jFeBy/c9/grLgXxZYUOEZefHlFGwfC8QZaNPjfcFi2Hl8qZwt4ipzx7x3PlmM2XjDBvgBw5gziCAJMCw8eAsMVGRSU7gMyD8y8E69tqrQuC4UmgkmgzlhjmI3D92hLID9aCMHoxjp91/Ebw+PcF+SB4+Tlt4/RNxeFDxvImYnnL+bzrI9fx7jeCw8eK9Z6jqfbjrJorMbS/MWYKcPoDWwQ+/FXE/LOt/XxFRT4xt7j/R8XxfcbLzxOe/hXt2RH34UnaGMwyslC+fFH4PFciQA2RDWjjM20bIx+A7W3F8BRw+JbFq3z0oPP2pUkR7jdIVJRPI8KnCcOz4PCBffH5EUBS5K83ZGFxZXiiuF+6AuEKPH4LhI2MjXzHEVjrlwVlqHgaDpjHhFoFYSrQc8T4mTnI+rOC6X7Bch6xvgwYv4t4+Hvez+UnA+rUdYCGs2B44lmyvGM+cfyDcKxp5BnbGIBCYCtsAdsD8PX9Gc/pDuMT/fryjtNQylGxPTDBjY8ryucRP/qfKk6/nbG+G3H50QgocP/3QFm/v3Z/7PXD6cqViC0Pkf03rDqzD/L9/1O0ZFR64LTbyC34Ul8sC0ByD2pgjfmenN6oztrPeJLsAbL3hTkywu9po3wAQFhDq56qUZVbsFgrpPKAilvo1WgBg5HaDyVWlsyp5kqZ9gXQYAmawfptFmpBS7j5S5a0y62ja/01e2qo2r27E/dDZ/d9jjQx0SDwPfeCI/41Onb2+zUxkh2V2ZMeBmpCaXcEaFXKlHukroJxQaemOdrn+YH1+DTa5d50nK5pDl+Am7ET++oQdgdIKIC2kQn++1aEiGYPAQ1tvAmyfG2H3QiVPcIFEOV0MEBvv/e9r+3t2v9///cf+7r9fOuldpvef4ShvG7L4u0AFQB8tJH9Uq7Y90JSrCMCgUwBJq1m+6XvOVGQoroPqoFGEdwLVrRZuo4y74J3Cp1o64fks7XcsO4oawrs58A64OIBWUe8zI/s+vX95/YV0f3zDxtQ7V64gGh9W42GHQAd0G3K97RdL9mYniTBhrjvtv6Oitl7+vs9hkKHzECrX58rKZO2qB11u3ng/b54AXa/SgbDXoSrifS97r0NzgSo37On772caePjU/w93F/bM75BbE3RU2NobqdRy02QsCW4xW/K709v38d/f99/LQxkg1SEYgjdq7fx99IUbvZH04Ron0H/rnV39ojZuaEqWrs7lT+yz/357c8m2j7wekSb04xhDIvvvdT9Gv9HJXQEJ7hoTd9/JLTc0qbb8y/G0EEP8BoTZ3/9FQ2N9Tm9rZXGxyRBUCz4j9Y7Htbuz72Y0z6/wBhNaAI8gt1SCFpy25gdvpa19y9DjRklvud2owL9sfuaCNrZ3M/Nnd8NAkjg++xjDaAxFWSrN6yCprLsl23+TZT2DfC5S7jdqHutCAA3iK+v+b53Xko1lNrex+7fKdkcmdWfL4A2SqkuAXHU1h5C5Lmar4ah2zxf1GMLX8PSnzvQmQvB+gahaAXkG2aO2Np6opR5RnDcnPV/m3aB2zRpnDsRH5GuRwL3V277t3a+N1gv8Lndst3JlOz312uxwd63d4YE+ucCkCpN6JLXK1Sc9XaSQtbC8KItaQWYXA/GHmAfLYj2J598gZasNiZRi0U6ouoo+B6t9aKVo629EIjOOsxW6A6hrR+EiTZigMYI9YcKmAAnmn4JgQph0WhkbJuc3baB43C8SLJDxF2RXWrg+DG3FYGx/wTzF4EK3HfK+cNrQDWmWdsf3iJEXg0gLFZQT4PXuN4JpCas9+zxZUGOb1Am9jtDSLne/54/XIqrmZ+w+c5lJPChAjKJolLUqkS4eJlGtB7ROAtbHI9kJpL92FmMUtFmzLY9sBsz5ToIdQA2s+uw8PPXN0Ao7POWxZS3D8YKWgI0K2pIQOBntNF3qyIkjmAqgfcgNkt3HRRhDpAaEIKh26kj4XUAUdhUkbeEnCMV87eAuITmIyAcqYUqkJUiUGVEK9w2lDYp8qGvezs/Evv084n3FTKQrOhZDnwfnSN+8+ENZI7Wh++6QOj7cRWU5wHxJSKUYiBjxXARbHfWeoh/2euHJ7nzBkQbHdSQAe3VcxO8QQhtZJCepnagAb6Bd5e8C9r1MKJOEWEpiM8Ls/2HCRoF8bohzJnO0fpwdCD/pU7s1wq5Il4oGCHZqJopoE4R8ZoRXojuOsqRDEnOjwdsjyPVBq8ZIVeEmf096cwIoQ4mZhWs79Sv35xtOZLKNDwTSQmGDtfDgO0+sfI/MuF2IQpWUK3/yAQKhmdWa/MxIR8D4lIxPGcL4hzhVtQx9r5ndywmsuLCRHGtreJcozSD9CBdMpBsTMz6jtTlOlIYIhRSz7wKL0mh223wwEohncb4BEPQeH9qn6fReo/mXSAbvBerO8TWX2fCCwCdUBnDjbNxcaN0NfEj/32nhRclFe2+81mV8Q8PYQ+aY4Qcj1zXbcONUpHTpf1ey6stVmtHddvPWAHG5zeGfq9igVwr0AAWmAt/Dzw84T0tRomvU7J+xmLvYSmoKlVEA+8DAIVSnG5alQfh0Qwj507n3Iw9ESxSqLX3D3rAZIFpunpm2p+35GoHcW33BxHEuSAsxQ5h6d/z37PgpgkBLey7rSlAdwIzt4JTAXUIXThMuCa+5j43OWxqlLjQApyarB/pxZzxCQ3R9er1Daqp0mZFuhgVAzCjGy/G5piNirjCBpmjj6rxAkwWDNdd0crWUIXCNOm8pwP7GgKQzlrYq5dGpyh6UccKbE4/D2tpTAA9DLQVgLRjR2bdVvf7t1aKr60bGsU5Buhhoi3kApmXbi/u2wP4c6r8/XmBxMhk13/Gk95cOuogYomotKAcqoYu0FerCOJlRcq1B+6qjZLcLn1MqKeR9nhegKqop4m2pLv7yzYJwAWvDA2MVYGZ9krESXqh0ejAe/2GfCLrJ64V8ZLb+C0GbqGJxORREOeK8f0MqKIcB55TnkQUbaJJ0a6JZ8ttmb8hoMEE4XZCfE311IV8RmmzzAuEBS7zrd67WEdge+Dvj59pzzEB1Rk2n8gg8cC9TR6YFYePtCNfo/2rpn5d++80zYhidsqMzAqpLPiGDKQrf5BIoBjboTbEu6nvAwhbYQwQpSWhbNGgrcg4dBvbqeUvbwcMHxTp85VfSJHqzP4jxm4J9rdGorqSBGFl2EQb5o+rsHgS52L7sHSWjIuX+Xm2ZIQlk1F2GloypkGQ7yO2E3tq07WaKrGNebtmEyqsu2voK+yfU6NYxxi/F+cCzs3VZp/Dk9g9BfOLimro13ZyvQ+14jbtsQ4URgIoQESqvhoSHLCdrA3FfHtc0Hqv3S7WezKIxpeK/fx3tVajxjjYIZw+SzcU+kqpvEcNZMflI+AtV1qZRJQD5726om1+0O57K1rveTPSIhg/d38PBaZPise/z4AC2wPR8PSHXrRwUa3zyrUZn4F43RVIdsmt9zXnIxM3DRT9YrGTdj89FwxPpZ0LGoV92FEQl4r0srIFaeWZnq4TpLC9rt4dALPRkvs1bHcBp7ni8KHi5acDrj+mH1jeMrk4fjdgOCeUCZg+CcbPinf/+QrJFfOPJ2yngMuPAi4/U9J2d+Ndkol61QTMX1Vc/qwCiaP2DqliDndQCY3CGzIRXclAtuJWmYDzT0i/3x5ZJHs+AS+FyW0Za6MJiwLzjxTXHwGn3wkeflOwnQKubjvmLocrmWNNvyIC89eehwDjh4jtsSI8bCiFCO1wZvK83dHnHb9RbA+Cl68Kk8k/DBiflKOH7oyd+Mw8pY0GmwT5qBheBKff8Rlcf9R73A/fBqxvFfN/c0V9GfD1/xBx+Fgwf52ArxfUjyOOv2NiWU0pPi5oAmYu+rXdB+RFsH2liIeKd18+4y/efMBvXt7gd7/6mvofXtwZKPCEY8HbL84oKnj5zSPiS0CyYky60MdqIhssxQpsZCVAFMuXtFOKvgnKsaKeKvCjDY9vznh6PmH4/53IrjgQWd8eK+rbDeHjgNNvuXeXd0B+qBi/Sxh+9YAwAp//HfdlsBYk72MfzgHhDwHpyrUrx4ThZcP07QXnf/WAz/8qIefbc+dPvX74CKFagcEyhlJbgP69yqmYemxgcENRjR1S8Kpi3qrt9ruvqU0tEc6FtOiKRgP14duI0uc3esX35toNkSg71CLzvcXQ2KAeaPfol2JF/HeZ4k1g3KqSVu1zminRVkdItCUtYt9y8anWG7V/D+AGaYMnFP67OxEmrh36792sKa+vraVYkKXdiMU+22+JqmcCoCN6vE8QuegPuB1OrS/RnHejZ4ve/Iz3HAOsuFFNEb1KX/u9+DigjsrdXosoGKSir1+rEruJ2Xru+5zaegEM2CPtWMutUEn/YU/StP/7NdoTwg1F8nu/a7/TktP9a/++r75+c537n/f3sz3TkAgTvGqjWKqhFi5Nb8lOG0+0e/iyKzZwjdyGd58JW19HD51a2ir+vV/dBei6wqztySgQt3OnTTuSXl6tTbuY22vjmqDtNym8TkdIoc6YQEMYqkgLpDRoT2D9fSsgrVTNL4d6a3OeLDSRlDa2wz/39vL67/Zg1Ec7NJRqv8vEEyy7DoeP3USKF3i023Wp/XnvWS2y2zGve3D/mA362v8xJNOYEc4QoGOR2z/tfQpEQ0esdoVQvdmEZn8tyQBcbb0JVa2Z7TH22bJHmu3nqphIkK9BQO8Zrgq5OUd6MuZ23UZWeS94Qiv0NDRxb5e+pf1LudKmi6/Jzt8aAi5V+7EncsPgEVNQlSScXW7vfbsX0cdTWSdDu+7af74mT3Z2v//qetsYMJW+L/wR2mxTikx11K7rGdjj3yUkbVTdzk47cue+V3sRqLhN9/NDDMUKxkjaTzq42Uiw388VLtzX7HnvR1/7UnSWFUrtQmopfO/nWCA2hyiAworaRsm/7bfks3wt5tZ/ADdFGXUqul23i1y99m2edLnAUBhi013YMz9eo/7fZzqgMXNCoQ1qMoS0MOapUZrmW78AdLQUPY5wOr4n4aH0BLGxb5qdoflfxf5nnDnkNnQb5+nednao52sK8P5WNar94fv1NhSieXwvaai2BmPcbLLTPrEEwxSuy7G3nnXb5e+nmSYSVm1z3f/YOjEOkrY/W3xnm5HFn14Urr5O2L3f3q783AU6mCS3RSdHFsNW+xkTmPxIJf0VijZNI2QgvqyQrSC+GVGGHaU6aNfYUBAR9bE9AcBUEFJFSpXiaDZGRyxukJ0gE8DfqRGQqSPcGrWNhtFkCRoAMeGvmqxVLnZba/oZXlDeHLk2xeJBoEdDM6v1rO4LHLDPHng9rpMhfgbZfXhs7rYXVr1Z01vKNP0aVdZBFowBB2koWMeImtjaUB2RVWntI277zpxxllcTLGxplmKMBe/GCz4OJ655FPiMXk0VGCvSVDANGcuWqJK/cs+jOjBg91sF1WKeFv4Myv2y7ezREN+HacVlnprtFHuGmhQh1VZ44PMEdKiQEgg0PALlwOAqPIdbkdDMwoP3reurmFDjH3exf+z1w5Ncp8WkAMmmpinCQewhtCo1e2EpLtVoax4ktTvbWclG5c1w5c1pCli/pnILB2MbajQkoriDGcwUjaJDaoeKQMfEg3AuQKlUYHZV3UajI+Kg4wCkgHDdcLisPERXQxWOIzQloCjS0wwdIsI6oM3YA+CzaFtiK0CdIurIa5PCDRM3oytdOkLgTn4/S3BPV0yXgnQxdMYcmiMOkjmWQ1SRrhmupusIVm00odjo0kRb1eS+2QdSBsHyzu4l0/HXBOiBDsOrLSGzEugBevCktrCaGZ3W5hvU6A6n73I/HLNVcIeOhkOBtLHvqgXvdYf2XSviFQ0lkULxhFYxd3Q7SKtAe89pMOGQG7py2AUkHvyrArXgZn4oYBReS0KiN8LtCiC75A8xkvoM0H7KChwP0OOEGyTNX45kOQWyJRpEW4NdX6PDRxujtRW44jJga7Y6t4pIm5bahIPaiK998Cf9gCSqRQQBNueUtrCzaQCiXqypkIUcZKrt2vxKP+kr10st8G3iOcVUgwUIe/qxGqplh31NgQBM2T0nADoE5DTdLKHsgi4XuuojtqQVbIji94COImpAjdpoWGEz4SNRhCAICzDMHpzQJl2hMs36SkRE2+ifFuQl/iITNityeQ+/HYgAWgHDhWSanbab7EyPsFb2QbvtKRDmbIW7vZ0DUgoR1px7r3gp0G27HZXVPqfbBkqFnIl46XGCTgO/lk0A0As6ie+rE5WUJRfznZV7wUYZtRYWp0D79dv/awioh9SS2zY6q7CfvQZ7nzHd2A1yJTJXKvuDRdrekaXQ9qOdFbbX1BNY0yjoaLkl1vu+cevhd/8yKJ+rZG2oORIR2pTZGFgHjkMKG1WjtfY95UkO96W0vS0b2w5idbskDbzY3omLiQyOAdnV6vyxFQ9Kg+kToCUR3i9GXQWgJ588D1ovpCfLpvQd517A8SC/HIIFSPZsLAAPWRHXnc8A2jnk7I2wKdKL9W9j4hzGJds5wvMZQRC2AXWgcnhYK8JOgCqs1XzPBpkXtJ7zIH3Sw054ikXxzswZzgUaE8ob9uVuJ+p2pAtZU9xnET63FlU7K2WIKMY28eTA2wTU2ikqgCBklnlvq9QAzYCGAfWYUFPg/eyS03StGJ5rs83GyihKNfJlRQjBrq338dcpQo+JtjcT7Y1zRh0i1rcT8iH069wVf4NNIvCCUztfghhrSuDtSYALdhkaKQKgNlVctl+w5xgCrIfQRlRpjAir4vHvZ6gI8l0kI8tIOHWw88/8K9DHE3n7B4Cmfl13LK5kMVSjTyrjk3JUbG8rmiJz7cE7kwdLMlUafTSulqyu1FPwF9Wrpe2ZmgTVmGfTJ57lZDz4GQ209hclwyes3a547mk/s4qfA2K9/dFQUvqpcgiAjhzLZnZVjuyPjtfApKxUE1zdM9C4r9fHhFAUh2+NrvyOLWnzFwp8wb1LaqoA/+1j0z2BAIcPFcdv6TOy+Q5qW1hxpPAz8ssITcAyTkRMTXT08EHx8A8FdRScfxyQT2QJ5seC+BzZr2sJHQq1VLxfxFWN3S+FTYDMntinX0bkO+D6kwLJgoe/Dab9wvvuPk6RrhQq80KdSsB8T+Ocv66QL8wniwlsXRyB5bVcf1SxPhqF/WJfHqkvs74B6mQsF7PFp78wP1Wsf3wijVsKgL+5w5CAD/9dhaYKWYDwuwOm54CwAuUInP8sA2PF8e9GpG+B+UvB8s4SXSviyFQQU8WHlxP+X5d/jet5xPAhImSKXNZRMTyu+PlXn7CViMs6YF6HVsyvprpdty4+G74b8DJHiAq2NxVhFdPOUWaLnujngPzhgF9/OEAWwSS8x2hrly4R5SPlp8+/IPU7/3TB/eOM8/KAdCYzItrYr8dfkcnw9GcR15+Q+j8++XhL5kbL1wfU4Yj5bWzM03/J64cnuaAxemCu60alWQtiiC5ZQP86qHE0aZ8c+Msq3tgKgghKCsh3FH4Zt8qDKIAJbiKFkTMQiQZGO5gABtai0iqsTQRlT5FWT8aYsIfLyvmPnpDEgHp3QB0TVaHnrSfaJlABITodbBSGbIUH4iG1IfYA2miXgIqwCefCejAs6IeeJXj+8nFKTltllYj3GwD2DtQeJPmaePDWlBB3S51mBVwZc1PIUbBWV2gFHXuyqpyojVzqfT5tLFBm0C8FGF8sufUeIEGrKA4vmX1QdqBVRGAXKACmTLla9cyrnQHQarSfjfOHa2RFOti8S/7pfdx1CNA49GTM+wwteESMt0WWluzWP12Nr17G7Hb6R39OrE8GgMwLdNsgx0Onk5f8PbtvAmtRwHEd9jMl9GTciiSuBosNLbjryXHfbxoj40vfg37/vkf/xIvriMY2eI3WtuLQVihOFPhZECW1c9dz573qujM+qdx/f+wKRKsFWqGPA9Hbdd6PJ2hoJgBHm72YJNZ/48gSQXbpyacdnmo2Wo0epQqgGM1TiVIEmxXdquNWnY1G4Wyfr+iq7ebnKgLEUJOmhFq0od7fQ2+yNvp368kr1ZLgBCD0/tQdOs6xOLcFFAGfH3KG5tyKNFotCdjNyf1TL51nQAJwnJqSMWptPo12G/pZMFof8HVuxROOp7II1u0VuN0/FcCA3ntelEWc/T6zNoM6xPZPqCJkm3PtrAXzx0x2M/fhOABD7IVJkeYfdHc+eaHSad+SK7BuRPCOY2sDUUMu25gipRF4a4rLGO8TIN+7baRWtK8XL2yB4/KARs9tCstWwA1LBpAgpnjrthesLSW08Wy3huCzFOtkScLKNd9rMzQqcCGdNK70504v3VP/sblwXS8uSQmWnNk+jqEVt1SEa7psTD4OTJrCWi3RVdIxAUShUIm3+tQUbpSxJfv4lAysG3RegCCQ+zv6dlUWJgGyc3ZFyzQXIA2oU0I+JmwPREfTOe8o9kLEHOb3KhdUgwApMNaIdCzONGpIs1MlQ79vBooBJVpckqQrFlsyxEL2hjpFJt5eGLD7lFygHht5ESgIauQIpLhUyMoYRNbMEeqDYDt6wcPsJ9vZuVoB2P1WNdR8CDayDC1+IG2YtlMs7kiL0OdX7ePPSm+xaEUAZRI8fHeBiqBM98DkBRDtPtDjnwCbs2ozmS2gLcPOX6olv6pN0MhRaClAPSnwuEHXAKzpZi9IthYzRSuutzjGRrrFVXtxpoDTF5K0GdgsAHCcko9FugEmLBHiWcGCZFlDY+z5a9/7CpitRLTP4WeF9p5htbhylN4fK2JigIVxw+7VxvhUxma5ANujAAlttmzIgGwsHlxVKGJ0YRH3+FFxeL+iTBHrY2wCnxBr1VkVcWChwEcDakATX5w+K+7+5gPqwwGXrx7og44UFqp5glrRMhQBCtrIM39pJA2YTBGuUx2ZXOY7Bd5sqEtEXAXTc7XpGrYmliboyuPL24ryiT2nmhTl3gvF7vgI29ahP8tyX1HugeFDxHAR84H8sz1WlPuK4UNEOnO00PquAlUwfRD7PK51vAgO31EMavr3z/jZ4xP++lc/xfBh4Ezdwucd3644Hlesv6NoXT4C24832uJscWVUiCjWNaFcE+TCkUpSTVQzAdNhw188fMD75Q5P8zuU3O3I21eaJk9RpLP14Z4q9FBRESjipT1WYsUViHNo7YuAXbfZQ1ipIp2PwPyjinqouH+c8e50xcvhjq2VVthIV8HdNxum9wsuX98RrRdrU1nM1wXBdgrY7gLHoHoP8b/g9X9OkrsRPZBSqTqbYg+itwxZPUqT20TXIecQG31ZZvbPIkboIG0eo1TF+Kn31gKwwxOtBwbiNDG0fphGSVNtVFTOz1PrzR37LEWgjwyQCTImKjVeZnvvYtU/bYeYv/i5ekNtVgum4jUjLr0nAIb2KmAVs+59w6ZtzIs72LAWOC20BUqGPqQXT2ikobf10AOrjoaaEzYaXYA2h1SNbuL0Hk+uJRtKMYK0hyoodxWSBSEHINvIngjEDahZEISIryhnZQWv8rtzSsFswDZY6sgGRVO8euMB/T4A5gHMYD/0fuQg7P2woNeTXU82bl6O3jo1soKS/LWjnUgJcmITPz7a78UASeP3UVAP2n0Wrn8vWK+vMrOSYeAzm1+Vn1pydhvo+2xQARqFrSc72lHmFFCHqT3vGxq0akd5h9632tYBgB4GqIx2QGbjXQUg9uDK154GKvSRzsTYIXiiRsMsvAYp1hcaAupxYOCj6IWLPeUVaMmLKoDK5+OJnic0AFjEsTFHTsWCKsQEYZogh1qyYb0bHpAOBZAqbaRPQxNGsKATmLwAu5YJz82yIhiViXvVkmzrjXXUz/v4PdANwQ5at0mnvzabvDULyW7nHdFp1PCNQakrqr5+pgBu7dHtYRg6XdfHRaWEfSsGn31o/6+JfbUNFR4SCydJofX2+JDr0gqCLbF9uGt+vxUinHpUd8UZALJukFxQcYBMu6A0mJ8PoffRqiKeqbLvLAg+Y0+c7e8t065tH/raoijirscX4LMplryGy8YzzVHi7/XgA7JtJpIkhu4GSHC/Zc/DH0lLTIESBmAQxK1y/F7ZfY6h+2osDFEwkWzIs91eCjfnT/te5no48wXoyYPHcOyBpX+sUdo5SQobA33aqf3b3sd7PcOmSOdyS4kNaER771n2Aoyav4eiKWPX0wgX94uX3FtInHkFkJWgVrQUYf+tKXOLzUGGjy5MCXLn0Zr0IkdKZCxoAXajnOLzhgQrCGwToCN8JjVqhU7UzJDVChjR4wLeh5hvaWiCPRc/b+oQUI9MPFubjBVya+yxw40YmaKd/TUGJkgbbaEC0DdHSD009gGZXOZ7q6GNVe35R9ThCI3CJKz1B9+aMQW16NNbUQihJbWAtH0rXhwGz2r3Sx091fZHRZEW9sKnuTaFZk4yMAbW0u+d7BhDkEeuTbp2uqIXERrF2Oy9WgLuSS8UTeUWKtBLakUcQOnjBQgzaavwRNfuTZMl15VrWpMVs5zhUNRGU4beQmXJ6LDaPQ5kUfgzpc6KAEIWndNPfdJF9cQ9CPKdTQKZKyKAOISbsx9gXEmGGtecs3MjZAiQIaDm/pBjVmxvyIBwVee9cNThu4C4MInKJ7Iw0tnONpuFff0y4OWnx14IUz4XF1fys1ZGxivDC4AK5Hui69evAsJ//LL1x4YFOHwTkZ+PGM+C8cmfKde4GH3ZY1LJ7Bf2Z+siWY7Gz+MIUaKd211EupJ98scq6HxWZC/e/x3RxHKgP9weK/RoqPwC05Yhou7rHy+7vWwiWhwJRN+wPWr7uWDiaK03OxP9vv6YAEL+wz3++v0J6VOCFD6D9S3H/JSXAS/nAZMC+U6QT4rhtCEvCcOngJAF6zbhehwQ5oDhKiiTYv43CyRWVFMIv14m/A//8BdW9xWUHIyWzwKA04y3E2MQ9j4Lpg8RcYlUhX7QntwKOI7LWhzryN73w/tuL1D23y5faBMFkyp4eX/Cy6cj0sdEpWoF5Ew26PWLhPWe/vv4TeD0FWMTnH8yYB9qlINgfaOo625T/BOvHy48pRYcu7MfBzRREaBVWdn30gPtVkUHoFNsIyDkPNPZHSce5GNCHSPCkhE/XvjzR44lYgIcEJaC8LLxWnYBDwAGHtZro8HUPy0A1PGAchr53pZ8+HvmMQIyMEFdt0Z5BbIhgT2QA3ow/hpN3Adjeki976cy6Q5bbYglqxeFAdYrdNDFtbwh3SuG8bICRTlO6TQ0mhEUncZb0RJcDiZXVGXAQnEeetHXfTchA1hI+5HkOxvQHFDPgbn2YIjfwiAJcKU0bYktEwIfD+CVaw8EfRPY9ZZdz4vLnDqCoZ12XIIAEw97vlenbsdrQcyb9X51NMyTRreFBu8ta5/zbM9Fp8HmT9orRVLwU7xFeT0AaAnizv58PqkXfVQ76mko77+osSCgJQZiKJVYwFwfj9YXvkOPrPevjU8ZBxYA9kmQF4omjuEKa0H8bCJVlqy2wNt/T8TYXRS+aV/bJ6CtR87WdV6BFCEikMRgDT7vtF1Pf6/+x4MaJt3VGRYb2ww0BqNwg4FvVY4UcfTPkudoRS+ViDoCaQOkVoQSsN3FFoA4U0HGCs0ehEqzAQYadOTTk/U3+cFncy89SJXMPe8jzHx2bXAbLl74qb0/y5NAR8ob4r6njPOZhVyJjnvi6wlQfVXgyK/miZsCJ7bctBNkGBoVsf2Ms3JS5JzbWlsBxf2jap9JCoBI2fkKnWcmFilB7o6ob+6IejqNev8qhVGq7dtw3qDXmUr0p6HZvlYBptgCcQ0C2RTh+cqE5O7YKMiSdolOqRTJWjdgGjuNdd36OgGQyP1ZkRgoVkW4LI3yrPukdfeSK+1bhmS+gQlGW81my/TX4WqChVNioWitLZHzfcbZ070vs+3rPTII2kvTdHD0RKyQozv0hnlK8+ttTUejqFqhDxIRRiBejSYNBixO9wcAV8JviKcqabKhI5auHAxFp3AbK4OUbyaf5chnkV44/sR1OhACheRUkd6fIcsKPU5dUOyyNNu+8Z0pEqVX5XNzXxxiZwHsfj5+fkFYAd02pOsDpDzwd2c7Bw4DagyI4uc5OB4qiFFX7SxaM5NQux8///NdwvrgtrhLBLICA9uHGmPJevi9lYG9dL2NJ84BEgX1xPghLhT0U0ETJ4uuEh17m04xBel0Ka047IlkHSN8hq8X373XmE7VEF9L6AH0FiigoZxU9+3xRfsDP88Fw3NBelmBICjHoSXlYanN1gXmxwLnzqpw3JQLCJZRWhGRFFyz8RvaPRotv06VNOtLaM9AE1CPBRgUQLL+271KMyxGYVwhxZJpRbNvJn+Mg8oYG+IMdeGpDI0DysgEP858rhTu4nVEe+7jZ/qD7T6RdZaAPAaK1L1sN365TpEUZkErnPh4JTL7Yiu+5F2SG1bF8iCYv1AMZ8H4yRKPyHPm9DvF6duMl58lnH9GEabxuYuFAcDLzwMuf57J4FtIX338FXD4XHuBAUJCWQaO31FU7OkQUU6K6wQs7zhTd/pMlHx4QROJ3OMYGijWpAegjLzW4cWSqKxUWx4EcVakRY1KS+Gq+esKHRSH30cc3juog1b8AOxZCamwj39XoAm4vovIR8HzFFAfOUvQC37jE/3pDdvK7N73gI8PLCflWKVrwPRRWpGwJcXFkPO3G7AGHH47cAyV9Yzn+4rwsys0B8Q/TI1iv90D5aHi7d2Mz+WE6aMgnZVzZw/BKMLA5efA//3f/QpfjGf8T9/+GT4+n7B8OCJ8OqBMCv1ihZbAmb/WtxxX7hcv+IcMyAw8/n3B3W8XPP/5AR/+SlqrC0D2RlxYjChHRbwCd99UpEtFOZDpcP06Yv2yQoU0eBRg+GZAXCkGF2c09ieEo7nqIBieFPf/WNkXvVTkY8Dlp4LtTjnH+NnEv76oKMs+QP/Trx8+J9dpinsUa59kxgAZ+gHAwz13JM4Pv9ARUP6i9j++2fc9XQAaUlc9uNgF3IaUAOgBo11vo8kFNGVYtbmnfhA3ey5KVNnRVn+fV4hIe9lhButzEgiRDx8d5KiMoh3EaoUSHhaV6NuO4ucIF5GpYhS30JE7Q5abs3+FKjVkC2jjLOjEFGHo/bn8OWlOwYUAJAvq1arYgffWOP27W3dqjW9qDUA5BEqfmzqeB+Ut4GgBgH1fvQACyNZRewFaEsBDUvucTD/HGl2utuffeklrH6fjqDuqMDBwiiXQk6tcIPueXKOG3vRH+vr7PTUUaee1HalydKGhWa9+doe4dcQLfczBa8Ru91mtAGMjg24KJL7WZefp/Vuq0FwRorS50O2aqqCpLAdwjweFuJKE0fH7feL7rxh70avdm7kKo1btX1RilEZD7AJpvl92SaCS7svfE0OF0ffW7a12WhrQDmbayk4wbRWUa7w5FDVwIzDIZVEkm9J4G6dk1OmQte//dlPaktl2LfXVxaHbduvLtB5k9Yqx7wuYz3plh46stz1iveJNkMefq+0FLRVwWvjrnlyRVqhsAW4MnSLp7/8K3ZSJTAcJgc8+BLhieBP48yJQAGBDAh2p0yFBdKK/NP/DvePXjcbuade0WwO/dqj2mcAh0Aabwrns9oTtRysw+qirRj/en2lA/321YsJuYsC+ELR/Lo68N50GdD8FgHZrY0EobENa7t7f9f7J+ormWIHVg/Puxz1gJ0PBgi1YkG91vfaqDPQB3NBFG9NGBFDTSBAwMVZ7ZipWUPNniH5/Zfc8WiHYWk0i6ZAA6EeK94Ta2m6l7xf3zbt1bf72ddFh3W5t4Y/ss/ZoDhOLL+afnCLNhYVRpPn+PrXAEUquFX2Ojxn0vVlToBBkVUM7uTbNL9nvtqKDF6HdvhMXfy+SyJ81ZN4nRNjMZUdDNbEIuLeVpurs9ufXDfddCrj6rdqeUDQmgp+vrh3gAmk1SlfQ9lihJcm7Z2LJL+ejxn6+g3FD2/dW5BYTbaOeQU+AiPJ7/MP78D7nUADMZJvl0+5rq9GXjbEg1a63CrB20SmPc/zM+GNilbLbg3vf3QSV9r9n6z1ceozKn+3xDhwFGzzmMN9jolVNtLB23/RaUMx72zXu4p6qRlXv52pN0kcqBZ5hGnnWcR0VqylHOythfRSgUinb7y8+R7S5wYuJlCVOxGgFB/Az8tH0WpSI5l5QToWMkKBqBe8eNzrlvByAGkl/jwuf1fVHvCa//zoKNnAdhzNQF36t2mdxigqAYfcMzBZ5lgPrY2g94E63L2uwdQEQgFh2aw73tfx3m4ObuXZ1A8IS2tcRgOyjcQTUKhBAnxO8v9sRysbSC4oQFWWkYTZxy1nw/HKE5oD5a0V4tLGFC+9newDyyVgyGqAq3NMwGy1AnSOgNiKr8prjTARed0msRirbL1+MqImq4454q/WR+3W7UNt6F2x+tz3fAqTPwZ6nMRdmQZr770D8PTuzQAOp5jUCeUq0rYHXlI++V4DD7yPy+i9LX394kjuNQOCTdOQVtbJqrcoAYxxYPV9IR8O8UhH5/gQdA5Xc1twpegCTCgCQQsVCEZS78eaznboE8R7VgHpgRT/OmRTmfTBtTrUdWquNJRoi8ls2ScfzhnRZe0AYAuqJdNCwGhphyIkfyAD6oeuzSUfrDwYoRiJAGzmwVgQb29KDOQu0lkKULsVO8TS6V7hmhJmDwOvBdk8Fg1aRNlqF44V267QKnIJUBzqg4YMh5oE9EX6oaPQATKADK6ZxBdI3CRqUM7IA9jKcjNKxgRvWHk8oPODzQbBOguFMQQ+p2hSQv2dHO2qfJqN4roWIWLGgFeBIkCkS0btmCjAY6hPm0vuhK72z022ldHqb5NKRHAuu9ZhaYCzrBj1foGXp17dsgBpKFY3GWbXR5XQaGNSvG7CsaMJTIbTvYd0gGyv/OqSOothrP5OWNxTaz5jWYmdAjD3hiZ5wepAX+uHZEC1Hqj0wtKA/zCtwYVAvZpOaYkdilw0YEpkVIkDkvpTrynUaEn2AryfAay6AHgbU+4nX732Ntp9lzaRui1iiYD3UQ+D9XM1HDHTMEgqZD7knb8GCgNpGwQA+S7IvKteMgR7tP0+GHNq4lbBxP4csSGf26eSjwulSGhT5DtY7KHChtzQ7pc9vunLUlfa194SdS8/kzgW6+Dzt118huN5CIRsLgYhG4zS0SWptbBYmKqUnd06937yYaPZg9q25sD93XVGvM4ruKPSG4DbRNH8Nhj4WBdYMWXJPKgzh0Tf39IsuEqYKuXZfKlXJkPDn5R9pdq73R4ge4GqzAvo0iCDMG2QrqIeE7WFAXALiywBtDIz+XlKsTxx2PqWIfX+30+RloWibxtj6ZGVhT3NrNfA9s2MnecFIh9T3sfA5uS9HE1HLzQ7aWBtXEAdQh8jeyOsCAVADEGpslOr2CkC099IhMplaCxG8FJDz0FBcsgV4z20WefKElUETfcoucLTPYC+gBYQRNjvYkintwVg5Jevh2iBFqTsxBgQ/+4GWAPIfPK/DZeU5Zy01Yc0mMpn47LT2cx3gGhubwQs76gjtPvFdVujzC9f3eOTzcjt/XawAKGJZB6Kx84bwfKVfPlIwU5aCuBXUw4D8MPLsuhh75kAaMpKgIPaimgDFxpmFrWJ82iguZcwqTzpJp+1Kvd7TDAB56hRnZzRx9jOp1JKpi7GdEtJcMLy/AAG4/vwB+S5geC4YnjeejxfugXoc2hqq0/EXEyDcob/+fde6GJ5WSKko9yPKFMmQuqxck9NkNE4ibGUKjWYMZbKdZm3XW6fQBMcYJMuuv9VG5GwV2NAouI3WrV44AYaXAqf45kmQZo5a2u4Clrc8A+JVECEcY3IytshMLZFgPYdE2Xpi5kXQYAlLsMJimZgUDM+laYF0+rk2OjYZRezrj+cNw/sLdEzY3kxtRNMN5TgKtnsDf+zegmnNSGbcQoV08/2xtyz5uLFke6H9zrwhfL5A8tw+J9u8VKcBa+B9Ds98r+Wd4Po1k6nhhb2jT/+aqrjjZ2ljmB7/i62PnZkQYL3n765vSQ8eP9OHXH7Cax3OwOn32hJsxqhm/4PY+jLRKQfF+mWmfsYlIi7sZz1+o7h+LVj+uzPSUDD/5h7DM0WR8GZD/N2EH/3P3EPPJWK747nutPN85HVPHwm0+Kiy5a1g/pIJ9PTJkrCroD5HSCUdNq4W31bzl1VZZLWEbLjwXMvHAID05Hqx52vx8PagqINi/BwwPHN0l3zDosLyTpFPHMvp9N0YqUxd3m4oa8BwHpEuAN4HrNsR+qbg5/+33yKFir/7//wC9/8guPxEsf5sw3S/YC4J3+kdli0RILEiRdgE8jlBqo0MmonYj88V+cDM3ddLE3D+ueD8s4Tpk+KL/z2jDoLL14Ex/Vv2QseZCTDAnwekCdGmq+Ltfwa2e8HLn9H+po/sz/bEtUyC9Q1/P1245+oAbMn6mh+tSBgYiy1fVswRuP91wE/+xxnlesGv8M+/fnhPrlOoKtohz+RUboOE76EJr5Idp8N5QOavohDU2yDFzyqvAgdpTryaiEdDTR2VsutQQylcTfa18JXTQRsltaEOu+tsKG7/sni/zw6BbsG2BeOQV0mM/bwL9YgdGp7w8rPtfttn6vccZqsE7pVlsUscX32kI2pehW+jHQwF4M+YU7NeAirSCdQqyzVQnQ/ADfrbfvfm+vD963j1+Jswi98j0Cqljj61nzMkSUph1V21ITF7aqV/9M2zsuffeqfbGlsgW3fPd48U7HoHv/d6jca2m/pn/v36bfZ7ZI/i718uWoPdz1a+t7y+Xv/MXWX3xn59H5byx9HFqrf2DHQKtyFzEhwNFAfm+r34Wov2dob9Nb9CPLF/3v61ouwPVvRrqSCqrNIErnyEkEBboO/rJOC+k6Jt7jCpxUCj2pmgjghQIQ0Z3VOUWsU5AQECFVNvN+GUm+crHR1stqgKRYDPAG+JcNs3ihsxvqqGKhVoEzBAo6KLo3e2Tjf04f3f+/+vhuC27+3+bdeNGL537Td2sUtiG5232WuAovae7d3v31CnYcmtPzvAeuy7wTe1eV/bJl5kvigEo1eiFR8BmE2/uqeAW9v/Y3vRfXb549fc0RSzLW9J8bUEbvedf728WkdP+P+UP6i7a/FfqQKE22ch6v6wo3Y3NTKL74O3JFtbavfXXXwH+J5L/t650fZguyh01oDv3z/28ntxvy3SWBj792v25n88FjAfvW834Q3u1vp1fPEnbNdfdQzQ4va3c7JOm7bAFkBDYoMVLjTRp7WE5xVy3RDOohzn1thfuyXdn5f7pfKExkX/9n7Z7OJGhEy19ZX2NwGfifv9kmg7exYDcMMS8EiQyvOyK7rZfRRncKDFD3tRzJt7cOYZDPUxFfvbeMm2Y7EL1tvv81mgrQN/ZxffWIzhfalU/kYT0env0e3SSS3qW8kSAAiRo7h7JvLq2fjnKvatBGjPsTFtdiI+uvMjjcXmayS7uKX299/7ioZ87+OyV9fkdgbVLsK29cNWo/tLAEnpD3xUi8L689HQPbGvIRKplQSkiqag7eOEHF2j2Jda8kwDrwksqpl2RbWiDpmAfi32yAcK4ZURwFghQSEa25ns1xVTxZAK5ug9+n3t+/xpYgv7cTt7hBBBWxFPE1BHCiR16jeayBKLHuYHfO0thtXQ7+PGI9V+lOnuZ3199rTlYM9XsbtOAHnbGbDdYzDaNddCMIaCKeWGKmsEwlgQguJ5JVhXmojWbk+YT1PxZwJr1fKL7n/79bde/yyIS4AKQYF2PaVfA2DPVQGdWXzxopHHWXuGBO3HPwx9P/qamI20IoP/PICwVuj6X4muXA8JitSCLFl4omoUIEYiMo4QTTaY3WhfrCrugqUh8meAphIqy8resnFAjQeirtab4pScmgR12h1UCogJMjR6nVrVePdSQaO+pWdD7VR36EhtdOrvBSn7IK5UyPOZwcbxAB0HKhuaMqhcOEhN744U+gk+xgItqW+9vD6vT/bOVHvy5gHorqqvISJcVkw21qicRooRHGKjGkHoDNKV6DYdhX+2J7j2DG1jHb7l17d70iGkAOmZF7U9kOYQZ9mNDrIDx4x5uCqGK9c+n6xvdKmNqgB4YMO/w8LigqtIA/Z8dEdLrJXqe4ZcSiaC7zMLdUwIs4n+JOvvAih4khX14YA6JYTLhvjx2d6TXs0RNh0SKfZ5Bt7b596foMPxlf3QIfOAKQwqRIDj4cZW2KyiPVG3xBL7PerBFYA2y3YaDKXETVDOKuGtCApt5Eia3ZJ70AWwB9YFpDz4dzqnJ6MpoJ3QVYFaiOjtESxHCNUo4d6LVznaRRU94AxeeEC3U6ChXojS2g9gBZr0xAq0RoEehp0Yll2fj77xOb9G6xd7b3kVODOwMDsaqYYa1orBDsE0m0KzBGwnsYoynerwYr1Oozbxiyay4Y+s3No7A3MeknWM1AJwRe9mvyB6XpX3mEJPbP3a938ssJaq/FmgMQKQCxkh2NmH/14IaIrchmo6hdiVZ2UcEEQQdAXOdnmnI8JINEpr7XT/JsqGm6RAY2C/qxgleSk7GnAgk2dXrJGtsK9yHKAnE4qze6zHgaNRqtqeRJsjmu9He6aK4ZLpw47sNQ/nuffPegHLe443InmtVmH727+HaowhDTeJQUOz9wUs13bY9bPXkf3sct0goqheXI1u15UsDO32TjstO5pqZU+v75No6E3rLWcC78yeFihEgdqQ9LAVaBGsb0aUI88sjhoiSqBeQKiCOHkw52wG7kvuIdgoFLSCDoORTisNa0W6mBJyIYoVl9JYM3VKjVobTEBQFWyJsFggeFEE2DENbF0N2a8H0xKwMyKo+4NKZoEqMA6oY6JbcUp8zlAXNdIKSICkhH1PeBkDdDEm1RBRH47QFFBOIwtLRvFVQW9hulKMLFw32uSXRyxvByLdhrrGufS9bMKIrW8+BSYZq2LcClCZAEoQBocClCN7aWuEjU+iiJ1k9nWKIaCwM7SeRkCJkMYl9J7eGOhf7DpaUmmFS7VRV44KVo3AEMi0srUrJx/RRRRboyC/nVCjUBhJmLzUQTh2x8cL3XnhyRLDSPZMQuUYxaxI53wbU4n724D5i2TjrKTFLdFEZlwPgiJh9v7WPzx9YA/n+sbGv1QBNto8jVtR7iuQFPLdgPEzUAaLZSrPg2CfU6MlFqZj4ixDajvw/uLCntR8YowVV/6+RhMEi109W5baZ+AKkFZAXrZ2T76f/fzw4lhcuU758YA6DsamC6344HOZRcmO0qcXaL62ZdUAqmEfbUJGBGfOaoBPvuhtPEBYgLt/DD0ZtH5RjhgDyrEjyvQ7wPghYLgAh49MVpcvjFoKqjBvj4r1qw2yBtz9Q0RY2ANaDkok12i28hIhWXD3m2C9w0p0HkD9z/e4RmA0qvnh24jhhfew3pE5cPhUgY9Eabd7+qtGwX7D69neKPKJveKSWaAuB4GugnSh0m+8KsZnxoTVCk7bHfvCy2h06hFAZTvP+iioIxBWE6zKpAHXgfepSVAnpaK1JbpQIrgq7OVd7pjs6a9P9LODsQSu9Be4o03LIvib/+3ntL9KEatyUNQ54npN+OvvToAo4n1GTAVyKNjeMGEPi0ABzAc+vPlrsjqj3Tt2xYzDe8X0VBpTTZRaJMMZmJ4IJuaTYrvnGXL8jv5veUdF5XwPO4eAu9/we5r4/TLRlgBSmKH2uZmCZnGznl2bEDCcmW+tbwLyibb43X84oi4C/M/4Z18/nK4cyf/mSB59lZzYIbhlqi4bdY79fcBNVRE83HSKVhnlIUB68wKfrwuwCkuhDSa6dQxtfp6PrdHknHQ7YHNFG7FiD61Vh2ttPTmNSiiGugA9SH2V6DraIrlA5wW6rqSzjjZHsvJQ1pczKVmmmIkxocZ4i0rbexKRDi15aRXV3RoB6InQmEhZuW6cZXk6AHccceFCTK1CUzleYN9nB2CX4AKtwlyB4cLm+joItkc0YwSocNaGqLeqGykh/nk+K5SHl4lNbP2Ze4+M9yN5oh+uG6m348BAVtGSgfY8cuG6C/tJRdGojftn9ZoZUIeIfIwYyu6ZNhQm7ASaRjQFFsBUw1P/Hfv91qu4E5nStLN9/3kf++DX59/zf+/2g9QKhQux2GG/r+FYMNCqg/58VRGyXc9+/m/ZVcra9fP6mkicI9oAblgMnojaS1zMao+etPXe/fs1ShVffe81+gLQT6hCphH1EJkczAZH7av8hhJ4cs31lW7Du2vywLukwAO+WrANc/yRFcoatfV5kVoJCxb5980Q+/b+/cC6Qd0EVhxQuyav6Ei33VIb1fUGwaq37+V25BTeZle5tODGk7ubtQTgtFl18TUvErRnEo0x0W+MRbNg1/X6+b567QskIkxwvQhiSGUv2NGGZbExKLFTWZuolfQAXjIaYsv+f6Nwrpz/CQUpuwKuqVGzBXhVVLC+cr8H76v1n/O9LAKf/XtTkN2r5RvC52BzNYq9lIqgNq7G18RMFJ50+3q1Z2qf7y7C1zAEe5aGeBo1X+3rPpcXjgTbvnI718hgLK6ALEpmw8bAO56IqHEEnNFWMw22DmQSef+WIzYisKq7nasmduWtQP78NFvxMpg4olr/ZO09t40G7ve1F2/UvS1zHeoYWUTY6m2Rbrdf9r2xGBJECnSxedCOXO5stZnFwMC2PdcxteepwV2/2YX5WDE7c7VxeXNgQmNbTSzOYGJ3q34NAF2hFx3VC9KIZhCxfle0MSiOrnmyWL1ozcfW5sD7bHFX5aathBu/2dTvmy1qEymUZK1VhtoiCPIUgSBI24awZpTjgHyIZjfaUN86CEKtiHNlHLY/CrxYFQ3RDUK0bimtQCIGLJQDxyKWib2euyu/EUICegLKfnCu0XBVlEzV/DLZubhjLUAUGCviVKBhIH01gbbvPbuwa5f+Of4M2r14n66h0DWFNrdXKmBT7c2O/X0YG5PZRDsJDRBiPFynZEVtbftB1ow+vgo9Zg1qbQc7lkQu0HWF5q6xwB5YJZo4KDAQuKHwmfmz2u87FCA9EXlc3ko7/zgJQ5APexvm38mSOs5b5u/UUVHMt2z3itNXF8yXEfW3R0TlupcRqJNCp8ri2wvH1YxPTFjnt6HFndMHPwd4LdMnxd3vMsohYH7LjTU9VcRVsd3Hm15Xpw5rZBuSngp0CwjXwAK6IdLBqPLjs+LwnkWd9TE2Neo62J+RBl6OgNN866CN2sxWJkWxRBrK9SwHbTGDZMFw5vrlO6AeOF5oeOZnlZNtIy+uK8wH//95+5NdWZYsSxBbW0RU1ZrT3O417h5REZEeiarKIisTIGtAguSAf8BfyVkOc5Qz8hf4E5wViAJqwiKLYCWRYCEr0zMywiPC/TW3O42ZqaqIbA7W3iJq5z53OuABGnDfffc0Zqqi0uy919prCcYfucbyQZGPfLbIAbIK0hOLKutYkYYMSRU6CsU0M2O5uqtAsJ5oBcpzRFhCo6OHTM/a/XcX1CGi7K2QujAjkmfu9ed3EcutIFT6QEsFljuCL2UAYL65ngBf3hiQMBK9D1kQXKHb1nNc3Y7RkvpCinPIvn9yfC5vBWV+EWP+jtcfT1euijCv19YojVomrFAP1sf4orcsnFcGRckshNaCcJptkzZE0xVtXcBG0Iy5qSrHhNesXRGrVQz2ERoT3OxcCpUgt5SRcLFKmPdqto3EkzBHJyxKcvsMD46cqgVQdCUG9i5u+2VjgOgtq/Xj0D6blNwNtdh89xy1k7rpqTmMcDXZK4XS7cEtQoGsGDsd23+soaU9gHZVzFAqwvOmUCBejaIVUBm6ITvEm7/tzKgwA2xu4t5QTjECofrdQupinO1A8x4k6z+5SvS39FiASNVJe5AMdMTTEVelEiqfAXtgUa2gsQlo1QL8sGQMPvcchX9m5VNajx3fe0snVH/fbcDqAW0UbG1XqMBcgbr2wNrnP9DvzxNLvz9PzDf2SH64eH+S903lvVw947iykl5FsN4M1mOS2Ue+TZ62Cb3dU2NaBLm6LwD9fsMm4C+1W4Rt/oj3Kkb/d2F1ebsfbFBeWP9+Y0pskwDvSXQ6aimQS1+7bfxgAaNop2X514CmbCylInqAnaR5XFItliche8l56GUD4+Ms0JXz3Oe302e2r6Y47UGpWrBoBSTO/Y660ppng/r4vPA+13GA7gbrzeXXXJxITa1at0H8yyR0o64tLrrkz0kE7k3YEm8f0lIgYsmXoYedqmjvqZl7zYGD5IHYF7R3D9IAIqgirY+1IZbYIH8WPNYUUA6hBZQMbni4xUt/5rSOklZUbHM4RRb7PEndjo33eVsBtfkMe/GmqeRvtBZgAYcj6fYK5rcua2nrN8xcS64L0NpsUIEsvcAoJtDlAa3bGQ3amRlFibCOqQfgzlYIdl5uKVtZMD6uCGtEU6m3z1IlQluj9+PZffn0MaQ2WC/utnjG/TzQO/TSkaoWqBdLkDUA64p4xvW8nlfEhb3ITaTrJ/bCLubI/8Tz2ix9pNhcsjmjblVo88/HDyFAdrQEalZWhu5eF6l9jTLxqBN/NpRKhk3bJwEvsuT7Pfsf59USdwZ+noCKup9tQbkZkffst04Xzo+yi9xb9oF9z7aXaKDQS7U+wtav696wU7A2LLTnCQEqrCAiCqlu6dQTWTIC0OKmtl8EdKrzSkX6ptbt8yXxeiFAegLCJZMVZTljtEKhBrG4xIardH/ZOtDLWjIwfSxERW1fpwVWsJ7sCiCa6BYsXgOGExNnevbK1Xns8YZrLrAAz8JKfg6Acm8ve4GsQmaOCFalm8C49LnPLAg9yG9Bt307WDHB6gIvbZ+GZ/awxkv3GM4HrsHhIXd21Vqotj85k8RYI8YI8b2OA0lqaN3t4bosYaFfdJhN0XvH30mPC8KJTJbw+hVC3QN/x7cZTkD4TpAfI8pARFcKezJFrR82qVlcEkEbHn1uauthXW/JCLn9db1iNOU9k5EaBadveHbGM5ki7iMPDZjXWwhosZNvuMbjApQbxe71BesaUZcJUMHzzwWXt7ExEKEWxlVg/KytOPHwZ7SiGZ+49s/v2DM6v1UsrwtZLCfX2gCCFffyZUA6C4YHGJ0e1j9r6+/7gOGZ66HY/cPm+PgIhPe8zzKhU7YtNi4jIEWw3kqjIMcLGWFlpw1RjUUxPNCTmUUTJq5MoEFxr4omYhVmYPwUKBR2X1m02BfIUKHPCelTtDWn0ASEVHm0nxLSxwQX1tSgyBqggyLMvdCRD8wRymRU5DUiTwcrRrA4uh44Pw/fVUyfC/IkFLw6gomw7wFLH5c6UJ2bhVHOr2pFqUbdttyigTYGjJU9WoFaiqLsA+ZX7AVOJ0B66/nvff3DWAidV8jjM5GuIRlljBt6nYYm9MERCLQ8USA8zxSM0AGIA30SHygegTf3qNGSltHEJ6zaHWZO4PUmmaw/GmLpE2u5DViP9IgbnyzJXfkzfjCFpcJ7O2U2D17YoZAiaX2lNp9cHZLdyyZ48vsaBkiiCI9OAxwtU0SIU65qT1JdZKZtdGns9kIAlYXPJp5ynFAM4Y5rR6OvKKxO/0yhJUX8Bnr1yHqHauIzqFEwPqwIlxUII9Yb2zRnRY1sGi+jLfIKQLgp9ionEYP0rO2eVFwxjdcnlUp68VxbRZo+cJm0Lxcre/lSo6YtrIrLRAq2zwN1h5HzivDwbGM5MohKsdG+WyKYzF7GxE8cCUMpFJnKGWJorRwPXVDGXynQ09KEozAkXPXvuriNXaOsxQon6OwFzytUO/1zm1BW8DMjkRsveNQNKs/nwSTXCzsQO8wsQat7S/6X0pOsly8PNuelXYtYUMh7l17EEem9QpukwVFgdRVe72WXBCQG4XJZjL1Amr5EIUMigIlWFaCaEJj3RFviAP8aLCCQukmUYYGAWMGoWiFBrtYH0X1L+C+Z1EQNcN/RRglcFHXmfuFFmmZobxt0WDZzv31G/5rPW3iC6+hURdtjNEj3LH4pDlUqvWYB7iNjsjnh4kqmquxsAZ8/G2GxNt9LhS4rn6kLg/nLEFy+wlXhTFwDQQQ6BdTdwALBWoAM0oJzgd4klOOIsBSEh/kaPRVDllW5r9pcERHoYTIbkX6tGrcJN4P89dbaORpqyucxBEsCs4+xoXg69iLZkJDvTEjwtNjc6fPG1e5xsZ936r5qozlrtuQ8JY6XCGCez47QyZIhG2aKfw0A23RygR52KNO0SSr7evfiTxOl8rlrCa6UAg20DuGc63sshD7kfkb4eo4PC+ITOpJnib8q0bAYmYikswdq0nvC7G91QgwL6hQjEQY/8dItaIIIcFpZENBAdHbNtG0SYSIqAlk3RSy7zqv+5va90M5NIl9rHw//OUe0dxRTkrn0ArvPuzTZPLcbWVbIuhJp37wanXboFixMqrXtva3QOAbSVKsiPQeKYwntlNTmskY7Xy4Z+W5C2QfgXDHMTHJdUKpMgvVg47kqykARnDr2xCudBJNRZ8skkEHw8hUAJoYZncEgoc+vzfPnOpOWFKoxNWQIZE24jokIE+MkllgCk4IihHls1GBnT4UoqAituCWFxVa0xF0wfSqYPs69oL0t0FmQDdg1iNuKKHY/XBA/PCO/vcHp57urfTYUNQ9hgQ58ltHsSPKO11MmsWSLCJkzzOoUETYokEsqeF+vt6Bs+9xrEkjoLVdN8wVoasbBKPvrHQsc6VyRHmfuga1YHKB+K7Zn12HPgoIVXhoTJAasd1S4jZdK4bG1IFxWaIxY7wbUgZ6icmFDan11i1rGluSmU8X0Pedo3gnWI/fAaknIemvoZgSikHo6nFksSLOgRsX5XcByzwTl9q9nY9LwOi9f73B5HTHfC85fkUk1PBiTpHIPSWdg+hhQ9sDznxXoWDG8T4iPAk2Kb1894Gme8OPDiKqKy7cFiIrwFDE+EGGsIPY0PijGp4rHXyScfq7YvRfc/H2BJsHHfzxgfltRX2Xs7y64PI/AjyNwAYbveR2S2WI3PigOP1SUUfD8bTCadUW9KZA84PA9GRPev8sJCgwPisP7guUY8PSnofnAMjZWJqkt3haKoF0EZafQIxFkqQFYBNODYnyoqIlweZmAfMN4YXjsxRYCT4rpE2nYy89XpH3Gbr9giAUfz/dUQJ54DzoqYlSIKOQcsXsv7Zpq4nopCqSngOGZBf31vhpwRVYDRJCPziphEWB5VXktF8H4aPvYLQs8c+J1734bMT7a74CFgOVNBZQ0+HRS0r73HE/vufb1D6h5zxsbwwuuldeZ7ytEA9IHQfn/V5LbKufT2BAwOFXHDq6auioqLPiWagHQvBjyBavA7zuNrdbeo9o+sCcWpO9skjlhtUEDVbtWV0S1hu0ykd4yCPs6NYkdmgCmwQ681A/HqxtVJi0tWbfoNsXe86WKOqbmW9rsiQz5ETEaqqtwepIgIA0pSkc6/WCHFRKU5aw6RlYGz9aDlkJHJyxwD0sFhoBqlaa4MKGXoo3SK5mm5t6X3FBkBb3gMseOweRWHIe3XcxU3fs5msy69mTApfCbuJWjL94X5GOca0tafKwblTamRtG5Tgg7HVin7vUpuTRFTgCIl8x7jAJNyYzcLVidBsiQWr+W5u4fSrHcTRHB5rIC12iQB/dbFNIRPH9V5bN3tWSnKtp7Xb1sN28+ssHnGppfYDXaUBcosU3FFJ9dEMD7BSlMYj3AZfO5Pp4vqa5blsLLgoolY9tncSWU1AZMrxLmraKui6V8ga5sX/71amXcpkbsWeY22ZUWILXx1c2z8NuzNdYq5roJZGDxYRVTk8UVovW7RFb4xnY42M8C6NRWJR3wamxqv6Yv9plGv65GfXwJGW8KDf4MtsU29GcqMbBQ9/JztuvoxfdaYcjRauuP1SgQRKijzyId3TUEtKmIby/X/+kFFN/ntmNlfbeOrFfrSdQI5MmCsmT7/QiUISKuvG5HN/p8ARCIPAFoyOdVX7CP15A6uwLgmHux08dkHK783Rs13n9tw5LQ7dftvVWk+02n6znMwsf185Vce9AfucfEy4sChqF3KqAa8JYFsd1Hrx4E9+O4AgUCf8ReKPD53YI2n/elF3riov188mKOz0ff23yt+r4SwrXwXaPOb9a3s138PX3faeyDvr+0RLVYEOfzTzaf6wmU2WTJ9vP9USegDAEyxOYpG4pCV0MzPTFs2iG8VlGukWrfD2tlEXIIqAEoNyPqmCBVMX7K7FV+WqiAfTs0xJznP5ADURJHg8oOZs1HBMqTBU++xPQ0tmI1COg+vWttVlPqRQMF38/OXiaG/OU6RmCMDYWuyfx1AzbK8Whq6yH3uAbqezOgrubkYlkqGE4slg1PVtAOAXWXACgFe9TEJic+A+ojSNuT6xSBVwfUKXLubcWZqgUitveqSCvYQHy+su8xLL33PKy8zrDa3M5olFCnVcvqY42eGG8sm2TpFpNUDPZ9GARBqmJ4LqSi3oyQ/YB4Xpv9UzBKuxc7XwryNQV+gIrWoT9XbNT606WgZm297AhijKkNWKKMifPeEpyNZQ97VgVRyFjyVrTLa7mib683wHpDkabLuxHxkthCoCwouKiUq1X7ONIKiGdpOtvaWvpZzb5W4P3zAZfLgHAKCKugiHgLNa2ElAU9KBN1SDB2IcfcVbrdcgifEi6nI8JFMDzQ0mc99utxkbDq6t62/tKzoM4JwzPntiYistUAFalMeJcjz7Dxs9koHWGtTtrmQUMpbZ7FiwAhWd8paczLDVDtfB6eGGcz5gbGB8bhZcdchhRnztf4KaFcIk5FMEw8G8rOUPrXCy2I5ojz88D9frJ5bEtGViAVtqCsN+BaffQgiX/ixeJ4X2YV9FaPivU24fKaFPvxU2j0dL/vbYtXWFn04FphmyMEbU0S6efPQ6juXcaIOhhD1MTkysSfT48B6Yk+yV8w+37H649PcoeAekgUkkihVeVdOa5M7KvBXBAu1ShWFE3Rh0fo+YKQEnQ3QceEfL83CuoCyRXlOGK9HViFPluVXAGF9YrupR/eCTi/DSg74PJ1RbkrWN+bfjosaavA/ntgVG7oOhj66f66HggV7YmIBZINZdmNFvzQ5gdVEYzGXI4Dr7do86drfbDZDgJHI6NRhEPfUNKlIFyKCW91UQVSR9iznE4r5MMTf2FMrETviZjLWhFOK2QINBlPgnguSJ/PlP6/GSFqYhaqxrknIk6pe+fXK9Jzr8iuh2DUKwZX57eBVCBTpe3JAM2h/aASSySi9eCE8wq3LfDKfTBKq+4tSHH64Dig3hol0nvOhIFHWEs/OF8dAVXEj8/AvBA92Q8MMD49AyFg/eoGZccCQVyI6OmBXol1Ih1w+O4B+Pi5BUytJxsAIlDjQJGjFBjIOOLoSF2xQLe6hZEduha0ySCoMUFK3iBvZA1c0fuymuUHeoXdep/WAwP95c6qbJM2y4+wUkRg+kj6UTpHiA4Il8LkvpT+uTLw4TgCXStROi8wOGXSqN8u1uOB5JUwz4tETFShxRKm3XWCIG4BtG5QTKOGu8VOC3x97dnabVR0/zhLWJvNgicP6L24lV/gGBolTE2lPawV6gfz5ucAxfCIhmzxOW2SjBcxiVOTm0gTYCi3Ei20XuNup2KB2stkE+hjalZX/jw4lwzVXgwZ2FpZbQP9GHrhbVMU6KwDXKHm26CojhGoNh+UInAAjF5s6FE05H/J/TkC3MN3iXuXo6fx+h7rGImkZLMAiwE1RtRBvhDdYXXdfBjtgA2r0b1m4PA9kC6O1IcWkIYlcy+otVkIXfW8G724HliYrYNRJ+eM+HhptHypinrY9Xu6UHCAvbI9qWwJHwA1JK3unSavkEtu+wyCI7cKuRgDahxI/RYKCgpwJWoVPjzb+Brbx9BkHSLWVzs+J0cgQ18HL19hoY2W1MDpV21dSQ/o894QyU2QNj0UUkit79Ytb66KHABc7MwpyTqaLZCwdQHZ9p+rpNyLKqxO0KLK0P/DBB1iO4u3ApDU7KgmPthF8pweDgDyfOGZXcoXKG7ZBWSTBK0jbX509SIsWtG3JmkFq2jneNkb4+mckZ5W5OOAZcf1uR65Hg9/d8HuN+8Z58wL5LgHvj5YaxUDvTKgqZs6YrS8qtDbjPxolkyGOMaZwi/xUlH2AXkKDSkDgPnVgDIF7N6viM8nxhh2D56QxucFcl6gU0K5maBDwHI7QBMwPBSkpwXlbsRyx3sYH0r3pd3RA9sFo2QtLLpHQZn43EL0vj72XqfnlfP5NEPOM1u5hmNjebT9JiaUgc9ACprd4HI3YP12QrpUjA+5tTm1l6DFVToAy01oRV+iYUpBHdVGC09JUFdBOrP3r6ggPZswV2DxPp2BdK49aA9AtvaJ5j+ssGTUinJJIBMrF8Njwe63J9TdgOefT9Ao2P2YkJ4z45anhfvBYdycR3asKM+ZuuOYDh9OZGts17QqpASkj2fQtjD3mGVMqN4WA67V89eC8zfVfFF7wiEKhBlMGhYgLIp8EDz8BaBGYZYCLK8K5PWC837EpxIRLxHpWZvlC71R+V6e4OYELPcU+pp+jJg+8brTs6DkaGOqCEvA429uEeaA6QOf/1oC6sRiIm0p+XtSeR7M0qnVUphoQ5gUAaSmp5O2vSrvgYd/BJRjxfghtrM97ww9tcLS/jsivNET+Elw+hnR2enHgHTi/rgeBcOT4u4/ZogCj79IWG+ZuJbS901P8qSCbVAf/fzn55+/4b8Pv1Ucv6tYjkzy46y4/TWFa3/4ZyOef1ExfgrYf8/WgdunYDY/O8yvMlANZb1f8c/+7G+RNeLf/A9/jv1vA8pesdx5cM7CwPiRz/v8tSK/W5F+GHD/73ndLUHNRJIptGWswWPGsFtx+tkBZUdLpLv/qL04F4nQei8tBbiA/Q98z/k1BcCC2VUFE5oCjBIdgfM7Qb5VjJ8Et39T25m0HihAlc5k200PFXnbNvB7Xv8gSK4astV9G7Vtvm778JOvGCmGAguMAbQei0D6U+8TfJG1y+Z9BYZmdYXUOilkLKhTZPXANrEG2Vti2WTAHRHeBtFejfaAcKOO6yIjFAVyypxRxKyy6fQcFnc8iN/YkvgYbm9vk1yrox9f/PwmcPTxNWRL4EEXWnWkBXg2Vl2ISjfvtxlaozULozaqyJqglxhSsvUO83u46icu+sX7vny1nmcPehp6KUYX3yCMDdW26/5d83sb1G9+tyFHm74k/zlHkpjAbZC0TfKmdl3eK+7ehUzmK1C/fE5fXAuwoble/3BDmurvGDKf4xYY1ZEbc5n4txRSf2AVSqL2DEIkeqAmjXFwdQ0BfICGpvReT3u2NsdROScpbBW+uIdmb2T3ot4XDXyRCH9x7/7aUhM3qD1hJ58D1ndW1OY7TER1o+hst9THzylgHcn1uXTVC6Xa0FyncPY10/egpoyrV1/u89i/V/t4e9HqCr3e3uPma1xX2osIG6Rr+2qMj59KmH9i/rH/58XnbV7qiYLPR7m+XhVptHb81Pv4dUhfU/pivfl4eRDuY9+oodETAB6YZdI238MKhIH3UUYGYTUJggkiXbERtn+2FleekGIzR7Zrwq87oM+XEKiC2+5rM2bSexm/GAdDvlX9WeH6GW7FlzZj7fvNFy/bfynYzHmr6PRPZ/14Yaxdju2B6klqFWMu2Plje3vIipqlJVDug0q0fHvP6EUUcVqvXUP7IWcggYspKF7OUR/bLxkJgGs4vExw+b0XC689tz6+TWXbWSabuSpNEEna+maSY4m2F55/Yp/m2Pbn3fYBG5f2nu6LvJug49DiDU8ENEnr66sjUBNFeOJUUJaAvBdE4TyHEjUKdlZtKX7aFpDv1z6n8GX8sCnct/njzDm/h4BGr2+WhsO1zkdbu0CLNXxv8/gB27PddAFcGGu73tr5snmJau93DNL20mZXtilq8hfsGuxZSrumfl/uGuEMNC/kRJeT2fzc1s6k3fPL6/Szwa7XBcXkRXzyRVzg9+2sGT+L/M/V8+o//4U9WbX/bPYMspn6G+TJWDFi97TyuuvIeDtWaZTRzkKyOWm1wRbPRvq6Unla2Eom/Xcbiu7/joAOFCPLe+9ttYKD2epw77GzxD4/ZPR5u0HmRQlktWe6ecacE7bNZMVwcrsgG18A7gneWId1+0fa/zvCm/cCtUFx391uuWnjshkvwOaV95naz25jBE+ANfCM83EuGyuf1tbX9Bc2E9qfh4/zGiCZYFNZA055hGq3huN+pG2cgqHNvUVF25hLAYqNtztHkGHF4rJeInJgXlAmxfAg1o9uSDoUmKWJz/o4UyxMGmDQmHG2/hoTcbB90J6jnzEuxBdNyDas6B7af8Drj05yyxiQhxFhz2pcnQJQ0egMV0GgL+w08mdSBNYj0V9VWg6YcEfdUTVYTT0Qin5THngomnH4cgTygU3n5VCBm4w0Fqy3GWdNVPKaiXbVkZWDFLu8vwvUxMcVMmfolHol2ixY5PnMKrMLlKg2wYCyTxuKEL4MZLXbKsFou7SisN7PYonYSkQQItDjrlXsHXlyoZTy9paUj72pK8+FvTDgNbhKpAqwHhJUDCH36kcQuPgMN2ZfvBvEaTsxrcpzuQ8bqksPkrhxwgQjSLVw6XkIq+Vi6IcUPuuXCZ8L69TjBL3dEcV4nl9MOBM5MaQA2kWkNAZgNzZUXqN0mtWcG725HMeGKusaaDcVOCaSIrCsCO8fEGr/7HIYIGnkvTi9LRPxoz+c0JrAhTVCAMxqQFx52ea4ilAYx17sf2QfseQKLLkjpvYMaiJrYX7tvRcFOipkVxDGgjJH/jkHxAuRnvUsEO2WVGHOrAqrWl9ngKtrso95ox5tRScBKDK0sfZqBR6nRr0M/J2Ob6iSlEpEsILPJnrS4GJEhmQ/025MvR9+83KU2cXEuMETLXRmgLMjGBAGCyat6GQBnT87qbRYEQXKXjYIC/eVNBsd1Db9L5XQTeik9c2Q9lQQEUpFfGIvqCwr511LdNHRKxvrrWezNjGdtdOSLcltXrAeNPqzEmH/oyrRX0fLbLzaexbbP9bMHvSWGPe9qu4ilonoQ1h7a0mYrVUjmZq+ezLWSuEngNe3UalvFH8B2RIuzrPawXjw+cb9Il4qQhb2eL0lJX9+W6FTRTiuSGNBLQG5CJbHAcNzggZgfArQOUAWCjHRis1EzXw8hnStFG5olOQKnPSaFr71Z/WiSeS+BPRgV4w6qIM0NoTTpF0/ANkKj+umd9TaKXQ3dDFCLxAFOw98bSSKGZI+d73WvDeZ4217zTkjLAXlOCLfDDbPSytISGBAFM3WSEbO67hYMls6bbGdCRa8t5YAWOFMWdQWEeguoQ4RURVy2sxbEehhQj0M3POnhGb/BfQzdi20H7T9AwDC6XJ9jvoz8WcgPE/V+v2pwF+JHJorg66r9acvUO2qs9OHgjAaDb8Aw2Nu9jW0F7PxyNrQzGLiVB441zEYKiVI59rYNgARyvrmFuU4Yn4z9QC2MrjNB6IT6z2tUuqhAINidzvjsJtx2Q243IzIpwTRgX19Y0S6BAwnxfDEauhyT0ZReiqYPtj5djNe7XmeDNYxIq4DdBqw3nA9ukZJcBq5B6BAUzSXKQKaGiurJfLgvEingrIPWI8BcVaMn8jCq7sBehiB1/svrmUrwNZid1dQFiLpTAhYKPGxp6tDp3xvvVudYuxJyHLLvsJGube+3Qi0fTteFPGCniy1eb+JTdqYaF/bQ+i98kVNXGtGeFqg+wH51QQVwfSRaF96XCgYFchu0hSQD9QmkLKJywB4EU4UKLcTcDtdFV1cYT0a27HZxVkMo5us+vMvAxKA/ffs3d1/qFiOgse/6ElbnM3myVgcw6Of7bzf9Bigpwl1UFy+ybTeiRHpTMru+Kg4J9rzoAK7H41m/wbAWLF+teLT6wApgnAKcO9cHSqvObE1LR8phJROFK2iFQ1VeD1Z1ASU0b5mCRLZXMD8RrHeKdIp4DgXnF9HPP0p59f0I7DfsLbirJg+F9RBkHeRiO6ROjT5AKx31WjDAlSii8srxf43AXd/Q9Glj385oE6kctdRm52mU4tb/gN/b8X0QXD7a4rEzXfsBV7vBOdvOiW5DoLlPpl1FcffrXbKHjj9vNLjd6Yi9fhZsP9Rsd4M+HePf0rxQgEuX9UWm/NvFsqWV2qxmAKXSD/1AUAiQ1AT0eXxoaKOgrxQqCysFE1bbwiupLPi5j88Id9POH21Qx2AV/8+Y/fjBevdiPk+4vw24NM/qdBBsfttQnpmG4G3RIZMtPjytWK9rYiXgGjCVeevQnvmADA9KHYfC+b7yD7qdVNp/j2vfxAktwYGZ5wwRqPxDcitBfzlwh1VQcGpeN3fk9m7qJMlaiK9Ars54Hrf7nUVoOwYFMWhIqaKMhXUQ2A/QKH4kFcKtuhhQ1gqrC/TaJZJ2s+2Pi2g/V5D2MwPrQk9ad/IeaGbDd5QYQlmL1F5j01VU7Ud2tc9hE4Tsg1WpPfSwhKQaMj6VdWVlKKwKkIprcKDTbDUkCf497BBOXg/VUwcI/BrwRNz9c0GPV5+UeDo4heEIaQC8ADNx9U292JBoLilhyc3QKvIudVSE3FqKHC4QlkcAfO+OB0smaybObcRGkGM5rM4Q0tPcmuS5o9HJNWfvQ1UENDqwwK4LXq+6dVzGn/rM/c516xDAFl/R5U6gZ53O1b8ZapIuxXjWLCIYgXjSlph8DrLwKBWk0BLR18bG8A8Z100C0C369hU2VuBqcrV/WBzL+1nXyaEAJrvNExF0pBln4PqVlK5mJepf5725E3VNrwNqimmUmtqORq8+ik9GJM+/2rkJo5swUtDP/o1t/47WEAjgLwo60tFEyfpAZttKWItBhsdgp9CYK/2IBce2noVGwrVqMetmBL773lxJ9gk8cTz6sNePIxaOcdDZFFng3DVKIC1Lmiw/Sj392tK2dv73moYeMGhqWnz+y6Gx2osA7Ni88YDWfbbcRzLZp5jKpj2K467BbkE5BrwXNgy4Gq0LelxxM8T1WLjUWuPYm1MXA0ca+7FFSv0ODW8qZ5v0aOwmZtWsKHuBK6eNRWU0X5WnIYbLerYzPNWtfdx8/Xm62vLbNjsLS353CJM9vnefnJdLrLzpwjEaMm9cg/AkRY719rZ7VPEzkmucTunou+90sdLlUWQEAztEEBCQ6Hb3LHCVKMfA521YBTnjtJKK/619ROk7V3e8uCFDW0WUQWaM1R7b25cKjDAWpgodlIVTWjRlXWv+2ClIUseXHvrg1NYw+Z7dUrINwP71wCM1gbkPeZ1BMqeAWA40tdyPy3YD7kRjs4A8o4tV2EBANIZWdxnIgoFxkwxxzLFJqLVpkPqZy97EUNjL21RaH/OjZ0V+Xlq81CKGijftVDCWq13kPfEwre1VyXptkyub1A6o+CL1yb+kHYt/Lu5Ckyb91JsfrD/1ZPUjo61RDpfz2lnqamwLYLv/aKwApuvdbMmtwCAfV44rwhPJ5ThloVUZU+tlEqataulG/vRe3mjqdI3ZwDt16BjaOwBZx7UaE4AF1tMAK5cGjavfKNIFyCegeGkGB8L7SsDETpYP74LDJGSDcCSLQ1oRa98AOp9pXDRFBDsDPV+6TqqrW1p7Q8iQNgXpGFGXhN0nSg25kl5VP6par2vCnlkUuVJeEN5LW7VyPnjfdQ+LmUC6s5smgyUyUfOt917+t+WXXcLoc8yr18Dk9s6gWJKbxbUc4J8SAgZWCLpzpCAdKooQ8R6yz7YMmnr5Y6OCG9iXwBk3e0rNESkM8erDFR7nt8wqQ4r1aClkipt0gtUprf9qCa7jqlA80B3kzMwfaoIa0DeBxS7h7rTK4Sc80SbvZYKaHG0ORobkirc+yBA8PaVj2iOK1SKBsJpRtilhmYPzxnpt58g5R512OHyJgD3K9JQoT9EKly/RLjFzvpDQTVhMFerbiwM+514qcB9RD4AeWPo8/tef3SSW0f6qXlA6f2BpPypVTS6IuNVYBkFkNgPEKAdlJ1Co+0BuzBJ3ntCLZ26aZzusDDxS/cZb26f8ThMOEVFOSXIp0B7HJ8wg6DcjKyKXTbBodvIREcsDIXaT+aXyj5GTeZRp2gKe+1lwS4CsE6pBXwQihfEi1Wy7eDkxmPfs0BBFqIt7kXsSVxtStPoh9QGjdbIDXZ4KkhWUPCx9M/UDWXbhXvCykldJ15omDdCI1WMQiG916Dgi0NSPFAYItKlNln9MJdONb4aJ+lUcXuFbD2hm2Sr/S2OmgBSC3thL94rPRmCA9p7rKUrB6+FiU0FMFgv8rsbjrNZG2gKHWGtFSgz8IH/XG/TZnwtEEoCKckoFBynsBTm4y8Tixd0yJ40glGoarMD8cCvDjwI8z5Y/wjVDknJEmgVhKAYUzbgJKDkwA1IuemHLEgX9jJJVSZITiHcPAPaSdR+rdu+2K3QWZSr36XwRmxzqCEIPt8q3193XTTG/RG9x7bZOQFNnX1L3WzX5P9uNH77PPOKbkguenJbRk9+wbnt834EFktoenHJ1t22OOPB9GYeugphPFfru+/roPlkGoopOQAoRJxeCHw1SjLQgpQrb2VVYBiAaeASf7F2msexau+LTZET6sV8c+9MVG192dAKrcJkwF5lF6GmWM/2DxbHBmOzNEroXiG6IytlyWg0WtnsmT4GVkSSYKIrmSyWIbtVQETxRNiKimHl+vJbUBWUKsg1IOdIUoT5FC63AUCiWMdlbQlkmyM+Ftaz2ij0jrK3QsTmdxzV90fm+7mgIyojx3orNsbiHPeuWHgK1zFBYk/+2t5ggTNRXioSY29MlGjnokpD3B3JdZ0Ln7dU7I0tuXJWlY973tm+5YGyIWEhK6YH2x89KPWAZ5PktufXVI8rEXNFQ8DlvCKeV571u/F6/1CFzP18lFKo1lsVwezL4B66wLVQVYrXa6dNfm0/K25DuBs5ToedIboXYO7JnJQKWMA+v04obxLynvvjcGIMI9rpq62Yu5B5oFMgNdxF0AZALX6pIwP+8SFTwCkGLK8n9tUWC6Znt9NDD+Izn0m9ROggGO9OeLd/xofLAad5aEGgBku0jRnlz2x4KjbHApY0tlgqFEU8s9iah9hiJ/Y4VwxPuRVHVCjCVe7Z850u2vfLQRrTy4u77MPlRaQzFaalsmcurIp85HVfeblbscBtrRwlbm1OnrT6/gvfl506StotrfPQxRWTJ2PSEJ/xQRFnEAV7YhIbZ36Ge502L+jA4j0/D0ChyM1yn6j1cuZ+PjzUfr6vFVLjdc1MwZ77uwN0CNeFO4BMC3s2za7JjpwyBRPbY1wWVkV6sr0jhrZWxWOUxOfb1sCyQi4L9P4G5ZCQ3XoCaH2ydQRO3wqefjGg7BXrG/JZ6we+f9kDyx2fs9vXREMlo/Uv571gfiabjcgeP6Mm7ileqHMrHSiApwS9X/D69gRVwecxo+QAVHO7CEAIFdgB9WZFzgEaJowPpFHvfmSRPp1tHBPRXhfFgxKxr9FUnecIqcD5bUQZhf234PWwOOCoPkzAU7Dcss0xZPb1qgSsMiJkY2dZoi8lYr0BfvinrkQFQ299XyVaG2cvSHFc3RMYQgulT3+ZWqGFySQwvQ9tLdQEPP+c/2DxSCGJDL6Qgf2vEzQlzG8L1q8KwjpgfGBy6+yGdBLoLMh3FbhdoXNEeIxoIrLqe7sgzmRNNRcJMGFd7iLmW8HlK97P8TcV6axYj9yElnvg+//tV7w/E7R//JMJ86ufIe/IDCijYPhbMlmkWG/tiZ9TB2A9coyHz4J4GtqY6ERqvFQTj1Pg/C5gvhuNefeTtaiffP3xSW4S6M6CE3tI7HMwk/RVSN904RgXaIEFaREUcBpZkfSF0pIAS4pdfbMmQT6EJtrgfPZiFQjJAlmBccz4av+MMdKe5KkKQhm5MBsdR7AeEtKlID5euIkEimd51V6ALnpk1CoP5txsXbSaenQPWGuiSFRNFFTpPqc8GFp/FmCVDKvsBad3dnsh7IfrwoAnFB54qCU+Lp4FAKqIJxOXmiLpm/4Km0PGAiOq8rIixUZ+4YaeFZq1Gab74oyzIq6b6qNXxCJwuac6WlwEcc6Q3BO4L/rMtqimo0OZVBHZIEjttmz8SXmmkIlakovDrouOeJLrgeWqHYkPQB0jllek840fFgZhIVCt1Oda6eO5HkJD6x3lYIVrQ6uqiuj9Q357/vmeBNg9e9GjIz0W/DsSnzgf1BSV3Y+uCWuA85hJbkGpAWXIDEKGhFpYbAgrbIMxRMLm7E8m4VtE3L4mVaGowGK0KNlYglUAo/Rqc5Q2HzgnhAhoACpouRSMIuo9fALwkHZEyj1dfZwCcGVfNG6QGxPh8bncxKc8kI+bYo71djWWQuCeAbASGhcFVa1h+5ANQUIXGTJFWwQWyuJMWwegJ75NeTQKkdImwBRYIPNx9sTypxIfR59UIckE0irHqaFk3hedIteBo4S7iUUAHy+Rhmr6OpPLJtkuBag9qcg7QRws8I5otGWpESG/CExtr0/n0NotoGqie+XqOQZ/ntks20SApVA86SahTnLVZ8Mkty0iAECpAbUKitHOyo5R4noEoAFxCRi8mOjopzNAHBUE0VPaoGQWBzzIjdoo622f93GCNHZA87AOVmh0QZwgbL2R2lB8HROT4ehonz3rCs43t7B7PvfnKdJo/Vo7OuM9fOVAoUDJpNxrgCnL2vhpRC9+9mSjVc99G7QgHuiJQqNlWlLvTJemCltq98dtxQNA5gWyrKQOHyzicfHBopCSWwwgRaliXSvEyTJ+774+gM1YpOaJ3mzKXMwv87nqbrQ+ToGmweahXS8A5AwJPdxZbgPWd4L1hgFhfpTWy3dlaaEsmGrt6r+NvTUImV6RyAuFVgri84Ll7d4s+SyYtEJoWCviHBFnCrpItmdrhewUKr7aPeE5j6iVX9uq4bYeVfB8jBZL5WNE8cKHb+Pm+auH1Ci2MOQ6Pq8NeNAUkPexFbSiWeTkgyWploXWJC3myntpyakG0pSH52K/F3uhRARxrkzSKmm5KuCZEWHnhqFGuSe43oMrVVHGgOXInyNd2YLxzMQrH2xsEsc6LAyoQyF6KQXNu3extpSAvj5aGFaBUHs8mS6e3ADpabFCMeddABBTP28AtLGESFd83zIWfPJtimdce6ZQO/CsTxcK7KCinV+ysg1Bq4KFNe1nwbJCTyfI3RF5H5E32XdYBBjR6Lz1mxkhWsxQAuowEMWeDE1cBOPCG/JCwfRJsf+QkfcB6RRaYaHdt/e9FoEGRdkrvKc5PgeUW8E3hyekUPDu8IxcA354PuI8jxBRhKAYYsH9/oJSA359fgdBwvSBIpri/aFhUxgCWpFgveG/hycAT/z/+Z7XNDyj/R5GQJ6BtPaiTRnFfF4V40cxoTJAtFsIMfkjury8qpj/JNOa57vIc8ra9pY7swCC0ZzRGUl1ZByUjxXPf0IEN508gQfGJ0ORD4AOwOU1rXnCarTsgYlyXIDj3zPOnr8CDm9OuDzdYjXRNZ/H6cTPX+8Vt3dnPD/tEAyV9vVFlWfeX9mhFeCcBr4eBPMbwekXBek54PZvgfGxYj1yji/3wNOfUXV7+sgE/PSN4PSNXwjf6/D3XLPLK45zXHjOsJiE9uzCyv04H4nq59tilk8RKBSucrQfgK2F/9+vPzrJPX0dEfah90fYhARCk6APsSdREkw0xoQXtkIOTm/mAPF7oVQmxQlNYKFZ0yhY4RhNZGcAG9qjIueIz8sO53VwoBPZgiImmZaYXVjhcT/Ipny5FkT7/0ZXM3GtbQIVgGuKiPchKhFJKNWe6YLAz69JsB5T2/SbAnEF79UTBg/QVM2GyJvRSW1or0310//NX0RLJtorMgFfbmPbnPg7PFA0UsGXyEVEnILRXvuhz3uzpNif3ebzQ1ajrHT6tfuuNjsNsLiBos1b8iogbW8WrtAXKYUJl1fmVSEjlR/Vx6JWYLUE0+/dkQALtEKuGD/2Hi2dIv2e1wLSoDeoGiij7/LnfvhqghmM+32jUegAS6pUEapC0Oe1vxptHLD+VLve0Oc5C0XcSOLMjQlQxo8ClBIwrwm5WH9YCZ0p7An51fzcPCxPVNv/GwrpY+WtBVtU0H5WYyStdYzN/qoO14c+EXKr4NfK63ETzpb883m0e8f2enow6/7HV5ZL7Xr63G02NBuasgvKVBOt8IKcHwqkqlkV22mHvpHa/biYiNi4ulBNHcJmnuPq+ltvvdOLNwH6FSq7tXzxsXYqvlqLwvb3PMD369vO8xd+tV+IlbSvG+dri5CDwX/cbYoVQkQ1lMikyNCo9hvbudGuvc+dbUFCLdltvxs4P8PKkr7uBLUF8mhrTXPAuka71Dap23nTzxygDhGS1Ojo2jUOts9l46uKTR96YxC0sUQPRh31Soaaxj43vBArWTFW+2wAKGJ7Ca7GGPA9XeDCHzBPWf6eXfcW2Q/obSh2DrQ2kRSaCnCzUXn5UhZmrpgKAqCGDXJmzybw3kO1go2tIdp+Xe/1bf8Igf3FPtcBeCuEF1zov2hzzlTEr6ju/ny2Imu+LxVjBvj+VUrvdX9ZOPVnu32WwBWLaL4X1CMDUKnsIWxtKJXJUVgVdRSUXYJTItX3FOH4hUq22mj9oETUp0ZXhRUNmu+q7VUhS+tJqxBIFWhVPM8j/u50j/M6YBgy1iVRFXfuFFAVQ1jlhce1KvtrDVl1PQK2HNg+t0uNTqziSa5gvSHVkRRObZTkGkFau/q9ozGZWqHL4pewmH+sBA678N79vvn5HgCL7admV+jjC0DHPoHdS3g4w5Js/mzZgVYzm8BeTPCmTLwoF/nZquTzZz1x8vtBjyd9j7f31MAxqPsEGTbnJhirifOuPd6rFXVMdg8CF01scZDCWm/M4i0oJJIh4BTasJiAYuCeImJMLGdaGaPM7S/15gBMtK5KpwJs4qflHVlxcRbS4lMFVLCcBmANGGwsASrUu00OGQxo1Nr1EFpiK0pkl4NANC4fYNZXrJl6oUgqoEvEh8sBMVRcckKpAZdlQM6hLc9VIk6XEbUEyCW2RIu9n8D0qQBCFfF8AMZHIvZlIpILDztqf95NuErRrWpgIk+BxZMyCeqgLaEtIxOpMlpSPfGX4kzwjL63A72Xn9DWJMDxolUQcPpW2/oALC8ZKsIaMX4OVsAAdABwZtxRIfx3BfbfWe+yWbrRp5ZxoL9pmAWnj3ukdQOApH4tYQXGDxGPuEU8s3cXSm/k5i1dDBR81HYmqADzK6LIGoDpfUSYqUKtgZ7I6y0/b3iiF/D+e0VcqDdwxfSzeAsgSh5NLX5+bXuI41sTrz2swPTBWIgLmb9x6ePMdkAQZd/mQL/n9QcnufM8Y557j+LDwwP//suClCorZwsrCFLoyxUyA19H/YJx96PN7LLnwnFhi7AqvY8UpB8nARaigBWRD0ZpcE0xE/Yc5j0TyToq6l6hqWJZEr5/uGnXG0LFel8ozZ5N8l2B4cRey3w7QqoiPS4QpUCPXBYg9sO7TpT1T7nS/iEGikf5YdHUQhlghXOBDJH3KaA6pxJhW48sAoyPFBFI59L97azPswnywA/G2ijMDSFyhT70z20TzEV3NrRkTqiA8ztSYLf9A0T6WE1RoThGXHrw7kqEUhRxUcRZW+/nthc3XXhi0HbCkoVgqPhphZSCepxQp4RwWSGPpOrpNLLSnCur+SlCneo9sMofPzwB5wvvNTLx0cMOje5pFGXJhfefIgNoQ2Z0YFIWTwvS+wcgRaw/e42ySwinBfr8RIW5cUCpPQm+vBXIEdCghlB37z2xw5IUqgCdu+KcP7svihCemDg9/yfWHM3lxTz6yDIYJq6v9RWY5GYeDqUE1CWy38XPYj/ABQ3t15H0SlnyNVJetVvW2PPCkNq4d0soBuf1JqHskhWXKGmfpy5K5r096VJbAiJVUUXokVm1BfBiIkE9yK8NVRZD2nQ/QbdiVFYcA9DsgvLY/Rbr2BNgCLDuTXl9lEat8XnvPtrxwv6lrfdzC2ZXD2o2jzEFlET0po1lECYppi6qIQDTyCDdaMI9OA/XiZUjU3Z/iJHJgVmXNY9j9xcehl7QaEWgSqEdLwg44ng1sRgclVKAvCJvBHlO3wriZEGD2QgweOd+vn8PpOcCQZ+zROQ3A9P2JbJZHOWHSGvDboUgEaJfa0WZRvPDRStIyMoCatGEEiMkWqBWrbq+Gv1zsSR3Zy0xRhuPuYJCDDYH17yxqNkx2XJkfZOgyYbC7IXCOlK0bH4V7fywz7Sgv4kVzQXB6d0ArtSBN0UFBmUcEN0I0bEFwyi+XihoVkc8t+Klkt49ht66k2hv4boJbgXk9Ly4KKQlV4paBSFp63VyEUcVQahGaRUg3wwNVQgvCl5ihRL6y9u9+Pc8IV1rtw6yeV8PO97bEA2pqgjzanPE6MXnmf3SyG1Ouy9wOFeuJ6fsvyji+HlXpaDWBVpmrJv9/PytAq8LdKjQGNlWEIC8tx6+7wXjI5BLgNTUChnei+m9vM7iGR4WaBAsr0aUKfUz1RInL/ZJroyFViDMDJplVNSJ1/vwuMe8JkxDxnFacLkMSM+C4QS4WqtGIO+DCYVxL3X2SToVpM8z6i7Rl1dg1NmKOgSsuwFhsXap2G27Lm8ClnvB+BmIC+OY7NYhPqz2GaQnigXEavFARTyt1ioVr4qdPnZ1CLTiARBmZ3wQxChTQL6JqJFzWYNgfK6I50qxqDPjvbwjy265pQVNnNEsgHzfXm+AJTEJGR+UaPYmGQ6W/MaVzI3iZ2TZnNX23Gpi7/qSOgUY4DgPn+dekNoyoe4PWF2MTwFULw72GE6LsWJS4LMXMoMc9OgsAqNJnzPCZYHqgHIYrE0o0H/51YQ1VYTHC9J3HxDWHqff/8VHfH4YUD8l1F3FlArWJSF+GKiYKxwvqaT7Ei1XBKFNzu5TwXoImO+4PqrtKeMj4/Xzu4D5tVB8ad8qXjw7Floa5nPADw83EFEs82C11c35DEDniPQpWcGI57EGCiHFWXH4j58AEXz6y3dYXil274HbX8+YXw+Y72NLkERx1V9MFhtsXiuT2glYJ0E+EBAjlZh95RBhn+1eUaeK4fUMCYrl4w7xOVB46q8Ze/sZlScrtgi9rS9vFfv/7BMA4Onv7hCfAnRUhEOGfE64+TUT6Kc/ZW/r8GiMOyEQNzwJ3v6bFePnhTZB9wHPvxDkX8zQTMGykDnvhwfSx9cbxqZq7aLTR9oojY+A/g0p3GG1osA9kG+4KNyT9/bXGRDg/CYhm7jV9J88Yf3rG7z7f/EZza9YFLh8pci3FcPH0GyXXv3bE8IlY329Q9mF9mzzMeDZkN3de86Zpz8JOP+MbM0mqHXLXzn+reDmN4Uor7M3LIHHHizaZesTf6FJ+7tef3CS+6/+1b/Cv/yX//KLr+uo5IxnANYH2OSrI1AuVq1UaQElqckbFd+rN3zx72hBtHTKgg6woLAHYa2ZuYCJQxGUYnQfJeIlVdpB0f/wkG9iB3YQtV4tgAmTsCrXzchrS6y2UtY6BIpBwTb2aP0kaUs7ssNDWQQI4KGpRa4SIJ0iK5s+TlvUxVGAqv0s8VzXDuOGlCU0y5vWO+39PTbmKgBGuZLvpry5BRwVaNQ8H2v73dZ34ujL5no09THv2bJfm6L1ZrZf2vzMthLvVGYP/s0PtCG92/fcjpO/R0BLjBrClCIDpw1N8lcf/jv86uG/+2Ja1gjIqLaZcVxVgDAIgiiqUSjr0AWqPCBtQZe93GRj+7VtceRqDbQ52hUGGdAINLvSZ0DNAZqFz3tTcPDPqdYbKVWhmznTxvwFonf12l5/E8YxOrUjuMGrjn0ORbHDKrKQEzIgju5cDa4lIVFefnIPYK8Q8N7fezWOL+ZeQ3KFlVBWbZ3y4sgWL0fqZhraGlGb961fUV983u94tb0E6FVNC6C+GOcNOn7152ruvxww9N/ZivVsXy/XT+g/o0Hwq6f/J371+H//4i3roMBeLTgW6MJfc4SwjIKwvPwstPVDJCD0e/Afsb5OAJ0p4HN+8zNizAhHWcIKVCE6BKlkMdYIrGwTcFqcP5sarXBnqFBf/wIgGKXRCiqbMSMtn0m3cauvxlFTsN45aeJE/Wc8MXf7rkAqlfXnAjZnXCF7+zx9X3Irvfrie9u//bWZh62v0in5XiBIPSAVy/OlGkgrvGh3FpCiTZyKfYnaA207s6pTM19eynZ/be/xYh/ZeulufkYVaFRw4MtiDNBRWn9PZwFZMtUKRT6nKm/Ck4tfffp/4Fef/29fvG2dKmSoQFLUSVEOhuaMaogzx9nnvCia9Yc/g23vvrss+J6IuqE9C4zt1BkfbukUsheAOAxaBXm1uSBKyrIJa4bFfkb6HtQE8zZnv/cfk0niiZsl2Zt93NHaqzggoO/nsSeHPvRicx2bvdKvyZ+VOGOvsdp0M2eljYNk/1Mh5jVbvTgs/Pyw6UMuTnHexBluP+Jzm3MG0OhiYbyvamexn6Htb7XnvbkXf7ZN5Eg7vfnKJsjGur2sTcR79mHsjq2LBKVVNnuzcM7KBmkE0NSuG0gxBGhNBqb4euE91Sj4m7/6b/A3/+6//mKej7GgWdBERUoVtRas+2rMEBsLP+dajKotMarJVKozC3ldqIoFiTKiob9QIozOsOH7CNY1cmi3CS4435EDRRVtL2f8qdCJ++x6I1jfEbBy+rCzs8poRb3IMZSXcxJoyH8d5LqIavO72Rk51Vr6sxjGjBAUC9Ao8GJ7jO+7ztgIK+PuuACXy8C1Vvuc0sLIr8bNOG/Wsxcm6wCsNwHAaEJSRJslKBCYmGs1/aO4iRf9utXRaIJU6dK/72dl68216/Hik6+1uAguTxPS3Bkc1SjT7flsrt/3nTJRZT2UPnccsXXrKbIurD/aQZkNebOMndkLoDMlV0Ct3zmsgP5DC0/9i3/xL/DP//k/b/9+eHjAn/7pnwJjtQ1FoYOgHHgjebaK8cq/awJkZNBL5EQbNaNFhIZW+qAp2DOrUTA8Zww/0OT88u0RdfRgqCKdBcOjU42oLJuDIgegrmYvkQPSI83Vx880Vh+fKtLzVhBDEU4z+6MANFGX8wWyRKQYoGMiyrtm6JBQDkYzs0RvuRsw33PDLhOad+/2sIgXIJ0UVWhg7p6mYVGqkz0uKLuEy7c7VjQ/Z1ZejX6nMQKuyrlurHg8AAiBdq/RBIwOEXnfE+8yhnYieBCfb4HlNSP+dOaGBsaF3IgscCB1wAMN2/BnNKrcdnOpk2ANiUj1c0bzEy4gHdzQ6Hq7M2QmA9n6RsfN1MwV4fnEQHRIwJ7y/N4bKmsh4uXKsm6bsrXhiexxq2NE2VG4pdxQqCPvYzts/tH0T/EXf/5foby+Qa4z/tt//X/ivewUelehY4XM7M8lgsvqXR0tIB8oeMD+LCZvdSAtx2mL22DRbV2cJSCFSBCAhtJLUaRLNcoQn0t6Dqgz+xPLUIEcIAt7vDz4d8XUOgjW+6E9h0bffBmMSj88v6D6Gd207ikMlY8JZSfWv+S98jYP7NAjWhERZ8VOSMUanqwP0dGsomRMqJIx0ZSC+bdOoV1rSwBUqQ7rfbyGBtE/kkGzb67rkYHnemsVwXaACzdJL5RVQE1MQyMw35JCuP9YWt+ij42jxM5MkZfBDjzRk4boomq39mniWKH31Pr3HMkdEjTFjjx6zyLAIg8rd0R1U4LuNr3MQLeIatcdUI12mdaCX777X+EvXv8vgSUj1wX/zff/Zy61GwXeFMiuQE8R6YFV4Di6d3BAujXWztwF16QoxZUASA3ALhG1mgukllbY0CH05/VCcI5UyYpQAg/qke9VJ2B+zXNGzhHxFIwa5j1EagE6C6KiYLtC0MZEcIFDL3SJAuG09LFfVj4XU4OtU2yBMSleEec3RAzyrieUTSRrASQpyo5rNsausB1yhVhQgBJo4+X0WxWz74rck41mrTE2fQHfT8NaoUU2feZi/pNWvHGXAXcamNQCBDEE0FlTHuhw/MIqpCW6FkRV1Biw3tDOKO8YDKfgY609ufVzaKskvt1PnJ1wmYFpJFtHFXK6MCbbjW1vbhZAF7OECwJs+mihSpuhGKDHHepLJX0PilwIrVb88tV/hb+4+WdAqVfzPL6ZIQeOv04F670VmefIfbRGpNmK1Pec+wzwOddCZuwSl4q8D3j+ZgIZH6QmU+nZaL+mTyHZrLjKZOcGkJ45v3RQrrk1YF0CVh1x1j1QBfVtwboKpvcB6YTWLgQQ0e3nPyhUNJCtMzwsff4E6edKpDtDHei6UAbO4fGB73N+Y+f4Rhyx7bVeSDFape+7dQikQnu/Npj4I9n1VdvrLeFNl0IxyrkgLBl1d8R8GxrdEmBslPekSa43BhIku59KFKgOtHbx+dwStmp6LZP1NEYmZ8Oztr5EFxpzZWMmQUTVgirn/mDF5RnGvFsRnxZ4kUwDeDain9cuUBlWxfDxAqkV5WZCmSJ9jk0gsewpdpYuVFd2C854qYgPVABa3u5pn3Q3tOTeNVSSFY/rGPCL//x/jz/5s/8Nxs8LynrBf/s//B9tCXpyLpCh4pu7RySpwFdA1oAfno64XEzwRwV5icCnEaLsUY+XiuVe8PCXBfvfRrz+71eoAO//ZyN7fAf+gQLhHBAXwf43RF/nN4Lljs++PIxAVMTjisgFAgBY5xHxM8er7BXFqguiIMtiqLj8XPDwywkUWiPinA/Ap1+OWG+B8zdEv/e/DZClJ4xk9HAvfPzLDEwV8sTzY1u0qvsK2RV89fVnfHt8xP/nN98A/+EIhIDjbsEYC56XWwxG953vjAnVxNfU2EScX+kCXM43XPcHhSZFuAToMkIqcPqZFYx3zJu4DpkvlGNBuQF+87+zKo9lrTpWYGZxN5qq9fr1iuG4Yn0YiYLXTge+vOV5c/x7we5jQRkpsFVHQXoGJIdmw7TcAz98xX8PjzzL7v+tIv3rAesBOH8ldu6xIACADKvIPlsEwfJqQlgHfPxPB5y/oYfu+GAJ+60VGkbPCYGbv7Fzw87XaMWT9Vbw+R8FsgBPQGtz9X/78aJAWV7Er7/j9QcnudM0YZqmL74usQKRgaXG2qqRKgG6WA+FxxlGwVChH5/7QLX30uu/AW60dRToWcwr0y0ePIDs9BMeMlbOqMKqURFWicwwOWTSVDjYnYbZeleK9TTECKceajXxijUb2lt6Qun+hO6lN3p1y4N+Ux6zRQer+qQzehUyCIpvvGdpgh3FBENa4avCEC+0BETUgouKhuCKeSDyM/vhBAAK6ebgbdzVklTS2fRiRSHbLF5Sba8sobQnby8RSz/gQ/XrVUtMAwVoamXAG4NtxkqUI7nNFDbJUG0JQvPgdGoz7Hk4ShI2CK892/ZqfZtg78z2MIcVPcMEGfacO34v3lOxy6hI/JhFUA3hEg9sCtEo0o/QgmqYJ22vulkA2D4YjQLXm4KwKQChI9ng5h0gqKv1QBVpf16+vOoZUftz+KnXC8rf9v99vJ2p4FV3R3LZz3JNL+l9UIZweVXz6uI2z92ReOALloRk/TIpV4Wo0MKsBWS+ifSE1Pts6uhVdv6cGjr+xdsKOlphAaUHiq2dAHixMH7XeG4KCi/7ZbeFhMZsqP37jmL770ravK/9Wqms5vrXvFCxee/27KK0/tgQBgREYChA3STDSRH2GcMuY6mCerG5ZXsE91lBglKvSjttvN2qIVlR/drRChSK0Hqltj2tgBXMjEobTfzE9/UmppOtkrtYVd0/0yrjEsB9X9D2I/F55Mr0I9eizMJ9e/NsXJ2WqJG0/a1M1hJjxUuvTPscbyhIFLgfYQDYy1gE2PQ1Cjxp2MyVeP382vMC0FShbe91JKSxUjYJd//bWSd2ZBZ025YGtPMMvlLsdYTN1XyTj620+c8+3T6PfawFuGZphD73mw2W358XfnKx9gg6Foh9r2kD+PxvE9SS7BSaH7qPkaDaGYlGNw8aEWLktWz2xmHKQCqkbAeK3+QcsFaBVpuj2hO63o5irhGbs0kD27MgwGC9tY3B40icj8V2fCrf090eEBRYN6hW5hmuo6KkrpXwkgGkxmq7ahlQbQJ/ksgscBaa7jrl2sXl3DGhjBvtCf+IbPeyaSPQzdbViuFRICpfbovVn5v9eEVHcF0Qzsfa2QfKeVssmfD+QP88Mg5AUaWJC54CQF3ZFkCLe+oGjQ1ZmT/4uFm9yft9ty/ubXp13eGSmxWhClrR0l0v2pllBXhqjEwcNxXGMLHvm20srJAMgL9TpbEDuNf0xKBRqe08kjQgDRFxSj/JuPD5NcWMQ1rwejy3cXmIPa5/Pk9YHg24sbcpI6DHQp/l2cTFdlQS5sVYEr12tDedKRTUaOKLwEWfRXgTbssXsu0hk1NNyPLQoZLiGxThXlFyQJ13VA5OQL4Byh60mSvS1iyfW59HEECOGbvDgnPZoxZhb6v/wlARx4Jvj4/4J3e/wV9/eo1TPXKuiCKINhQXQMtpGqrse6cxYNKZglnVUObiat72+2XvjEq1OMX27QTmUoMi3mdIqMhzgmYWfRtLz+4p7AqOhxmfLukqTmzXOGhb25yf1mNvCGr7+qhYX1WerTPBm+mhYv/djNPPd7h8ZQi4Id6wAgEUqMn1kMiOXI+gojMCQvFCk68fzqlkxQCPs0SB4cyC7PJKzOvY/dq7SG9cTNzWxgvry43mp19/tPDU8e6CVQbkNWKYMo77GUtOeP64R5kD1luS4+NC5CNkmAiCH9JWFbUKctklO8wpZFAHl6wPqHf7JrLhNJy4VMSFggmAQA5oA6olIIwFYZ9R1oBVBpQ5QDLFlfJOMI0Bca4YHmgnUW8PkMPUEZhSIdlWp6r1AUXoNKLuhybxjsGSKuHDsBWCMna1sEaDmT2B2wRJtZvO60Qf192PxOPTaYXM7PvQKUHHhHyk4nJ8VgZq6eqIs+TDqFyeKIvTSqVRoOrIQ5ICHGg08wp0irIwodKqLZEBeEDD151vZmqITNFGpWr0Hlh1d4ys9q4g2nM+ofVfWhAj5l3nFf7yhnQVRwykArLYM3L7FBNvUesl3SLcUgoR5CEiNN9Ou2ZXhg2A7NgbJ+cVQXsFphwLplvFfr+gHAMDoiVh/jAiLKTvtkVpoglQigdEt2HIanYLhtZuenVlrYjbYCBYEmkqy615/5nPjLQ4bYEQBKg7iruoVaOX1amMsI0xICXf3NGDR5FG3b6ifP+ulyWKrsB3ectNsE4ArS7Q6a48063PCoj7iGT3GxaKfOmQgORBoO+89lGLtutr1FGfF8EF7+x6Ewei08N68kM6ESv/HqjBuMquYFgmC1aVypptzib/XHR6IHrQUWMw2pD2YNOSu/Z3DMBEOWd1saMg188goKGxTsHUFCHTiI4cCPtIhUU/CZljY0UdjdECztiKRTWFJjjH59EZAjov0Lrh/dyvONxmHKYFj0FxEQVyQF2CCSqF5ofpjJw6EvVu9D9qhMB7zpCAvJuYJM+Fzz0Fo/eB1LxKq7WyMwqaI5KGUEoRyBygQZGPQBg94QCAgDwrhmfF9JmoSLx0wamG5iqZQmSbaRPB0yEROd+PhuC68rzZdg2C5Uaw3nCe5xtLDH3KLk6DE0yfgBCY1FYLomNQYK1EjjeME1mtQDkk9q8GdCX/rYfu5ozYUvBaGwlgdg0sMFVrq/AAr5hfYlJBrEC4MMhwobVmp7GPZF6takGiNjEfgPt5vhk7cl/Yhym59qR3m7hv1jH/f7OnWL+uZLJwUBUYGNw3b3SnIW81FrzwY8hgSxZiQJ0oqhSfFZqBkAt0MdS8VOim97zkgJu7FbtxhaqgqiCXgFNQrFPC/CZB/HC2pMIpkbvP3MfLGGiBIcD04IFYb+3RAMRCxgMUWF4NwKuhUQMdRURlcVLXYMV422MioI7EOaUWho4cafWze09leu9VjeeM8PEJmEbkV3sirBPn83DKVFVOwdhM0lo4fJ/MB8Fyx4C2TJwH8SItKPZgfXgmSBCXHrcQzQ24vOU+F5ber+u6CWHuZ54Gge4GYMf46vhd6f3lTjUWYHhSDM9MtubXG4FRR8OOTAirBejxQiVcCO1swgpMZxbQahKs9r7bZyuVgb33WXsi4b338WJFgyTIr/ZwkVKBFVmDmItFP1vrEJDf7ol4RyuOeNE+VwwPG46mwFiJ/FunAa7r4UCDa0J4bDW/oor19Kli+rTC2SxbBs9lHSBDpVKtAr/+9Ao3uxmHVwuGDVpxnkcs84ByiUQDK3D6KmDdj6gjkN6zv/uH/3Lf1vnwKEingHgB8hG4fF2gg+Dylkjcesu+VilMnjQrShxQhoq71ye8OZ7wGwDLfIAsguFToFfszGe2vApY3tBqCHPgWnqShsDSMhQYPlCoanwE4llJb74loyLMwrnylHA2G5148YI7Y4H9/QV3hwt++3yL3z7f4nQZsbxj4eX7v3pL1sAsWI+cFGFhPDc8M0nNB8F6h1a0DQt7luuG8ahB2/dcmJAipZzDa2UvsMdB+UIrTLlwTybIwr2g7Ox9Twmf8xHymBAv3CN8Lh//rl/n+V1oKtKkJqvlXYBkO7uG2g4aUcaX+cg4ZXiwgtPIGKVZxK6W063MCwDB7oMiLnRXcTGyfOSa2n8vmD6xLzgfpHmFA2TcQYHzN4r13Yr6KWF4IFp8+VpQk+LwG8H+PZPqvKeA2B/y+qOT3Nf7Mx5kwhwG3N+c8Z/cfcTnZY+/ugwoSBRyqEyMUrUAtAWJPSN3L7pqyGhYiolc9F6Xsh965Vpsc2rS/FYZ8VK5AloFaaq4OV4wrwmnJaIkxZpJ1WFCEjAEYPzEDbnuEzQM/PzFDlu3olkzD9vDwATXlAm9t8WpukR+WL3l99AseNQS263C5fZeAFYEpRjVRZWo56Z6XYdICwkFwtm8dLd9UYac6mDIReiLqsaOQFA9jtWY1lMBG0dIQ+A5lpb8Wr9OyKb43IIuC8gqEJZqypShB1u6SXI9MamArAvp4W6ZIkKlYYD2KeZHXG5GqAjS44zgnsZrRlObFaF9hVVYq/kB8g+6Gnau0FJRJXSqnQsFbZIpWVZI6cG/7AuOhxWvDuf2tad5wvscUC6Rxugwav7gz3hDE6x2UCrHp6lMW+J25a8KNITZx7wluRdF0d6fK0WA1arZo/meRmHrwDnCvdBc5r5GId0F6AgRfL5EbOnf7bVBkNuXDKEoE/311Ob4FVJrY8DnDgAsVomTPzw4HhI/r5RGi+NzqazyB1YJG8Iv/HfrA6vWa2Y9aFeAhiXkrfKf0FCVCqNFKed7HUxgaeVh6YiN98xdianA9i4x+qj1lkixMXV1700vuQ4JjbIvcj3OL5DYxkaIsd+Of28crtCCxjrZjlHoCW7ZxVY0EUVHDUsl3XkjyLM7LLjdK27GpT36WoJVlAVlHohIRuHaUmwE1jjOjpg0ZfcgtAkazRLiee3zDmg9oAgmDDb0pLEJKBVA7LCvewabYQ5NYbFMRBEm8BnEmWJSGrkHuvIpAFO91/5nSNAYodOA6kVU+9y8Y9CdDy5cpkQwTMHZkx9f7w21M8jTUa+goFWW09FVgZyhywKpIwsZQRqjQTbtGlsrH5YyYxs/p+d7glsm7ZRPD9StwKoXXktcFeNTvWZMBRcTsoqQPU8ACBvNhbIPLAwVKn2mzxdSvcfhKrjevPOLf3rgFzpzyvYhiaGLzr2c81b41sH2SyXDCjG2NUhvYBCNcFbPsvJsWZarJLeWgN244qvDM5YSsdaItUSIKOZUcb6dEHLoVHQL/EIG8BlNgGk5su9tfK6tXxP2s4wv2JalAeZo0Itj2wQLWVqCK9mC2rRJcGsfSmddhRWIp0yLozChTIFn4+MzIIKyu0EZA/IxmEcoBYycfVPMkaIMNt8D59B6W6GjAjcZEivW5wGycL3R49fERGe0dgXAWA47weVVAIT05zRXiPbe9LBu5l0Q1IExlFTF9H6GDgGXN6NdF+81LWzXyTuKY5FKbXHMqIi7Qm050uIghc+tjmg2Y97nT0EiL8j5nsULSs8FcaltzfUk187swsRVJ0E8W7sVemLpoodeBNIgWG6ZwKcThUV534CsivjM+VinRNeOrAimjNxiS5sv7jHMIoOijix0lFEwfa5IjwvqEFGneNXzuuSEkBRlz/c9PU0oJWC5SxjigmAPI68R5SlB1kBEVoH1jsmIWkJbB8XTf8JxS8+0wJk+KHafFM/fBpx/QVrtcs94o+yZmHn8oUWglwCtgv244hfHz3heRvywn4AaMTwF2uk8KNJF8Vx6W9jwaM/Q4hikfi4Mj0b9P6khfYJyLNCNdkQ8WcvF2XxtA+MATYr74xlv9yf81fs3OD/uIKliuJ+xPg/Y/ccRcWGMU3YEsDSSfUE/acH8CsbaZPI4PDIZ88KURu2fV2zuAVYIs6TtoCijdvbLhZ628RSMYSGooVqvsu3PSwAutHUKszRUWQpw+L5ifKg4v4s4v+M8IsNOrYfZEna1OGa41jmpCU1AajiR+UBxLLa2uHheMruxYnnB+KAYHxXnrwLOd0Zn3xfIGpCeFfsfM05fJ8z3PJco9tXHan1VcHh9ximTLl4jML8t0KlifBigH3hteSco2xji97z+6CT3aRkxHQt2Q8btRLmrAMUwkHef79lnMDyERnXzDSc6cplYNWD/knZkTenjN9nh4VVbPxhqEmAXWfkzld8yqSUZTKLyGvF0mlDWCLmERqnwKrd7fpVdgg40cfegWAuzOPcWDQBUypdUkza7BDCVSx4WnSqpyYJpJR1oubW+zVlbT2AXQ7DBjUyKRS05tuQNgd5zAL9WYmDA2aievSneGRkNlbUE+wvxnM1h6tcSMlqTN5U5+/V61RDgIeEqczw4Ag9pozhJQQtWHFkMRm/TGIHjnsiGV/AN1dVaqXpZAZmqJTR2vXlT8d8mCEYPbtSpkx0a+wEIwSweWEzxPmUaraMHabVCVoXUjuTSz60ihYpcA9YSGZuNBRWkA0sByioIuz7HulAF4BRajddWDh7keS+so+7NQiioFUK2GZbNE9uoMSjSPqNWQX0me8KLLEAPWDUFts55EL1FbDcoUiucqFqyJX1ObSjfjc4laF5wKJskfEvHs7nifay/9xWC9bVt6LC1AhLhKjmiMIEfW3vhy0S0CUel/u+QOY/iIobkYtNv3ue/F6JaIrOhdfLNtoUf60FdK7TQNgp+n0619qTX5+uaOw3f/3ixaM30/9xu5D5muTBwdBTMvL2bVU8gs8C9MZu/c5AOHG/RMunHwDonzKtiigVDLDjuZ+QScQZQYkAdUhO1KKPRHAuvrRXuqgW/VpiDFcXcT1ZqhSKaKJ3yumt/di4GsxVc06TQkS0DGCvbYRKr/L7OIKQVk0YVGtIsJX85hm1eOwrO+RXPGcF6zgPUzik+wjq8SCD9f6Unui7I4vssETCjZh0mFmIcyfX5kVj8gEgXUFLzGvb9wHv9TAgwzgUqsc3P2JQmSQts+7uhFaJ8Tp1y1wN9Fv96guZrvHoRsLWM2Hpw0ZUoqPsB4v3HS2578NV4hwDZTWgaF/6tIBBwPUtV6EI2FT+MRRQV1yeIfZ4Hm29Zjd2g0MAeR/7sDpIVU1FItnMkRohGwERYQqwoNeB5HZGk4jgseMaIeT1gmVOLDbzFidfLP8tNuBJHIY3V51pfB65Z0Z5M7QV/V4AlI8f2mGp7WGKyIHujrM7BEvleQHUbtPnd1BLNsDBIkf2OBV8r8PnfYa2Iz4vtEQPXWgai0m/WaZgv5zcG8zUvAjlz3tQoEKMqFg2t9SusDIpVGAC7bgFgjA1XQR8CsLEK8mKY6ypwXxFUsX5ZQzTTifMwizGZVkE5Geq1hKZJ0VTFC1HduGiLQ9o69dhE2T+93kZks0pz0S5XOeb870yKZpMmMIVFf/7+sHl2xgtZZ+lpoUvISJcOno1W0LK4o+4TykDV7Pi8QosgzAmEgjdnuJ0JrkfgtpPuY625F+dPn3cIh804qyDngF8/vkIUxfunA+Z5QJkNOfI41M88gVkXGltk5/3L/Mx8FMyVBYVwdoCKz05yj1k0WRI4KjBUfHg44P+9/AzLkhB3BXWoeD4UIAdM3yUMT9KsjbxQJ9Y6sI1fXYi2DmByvTCu3n1vbY2WSAqkMWJ4ZlueEBU/fLjD+3jE+jBBLoHfGyuwWO/tYDGDUuXbqbarFQDihffshVBoV1wOWRAugUzWtSfqNZHhqUlRDhXVGHnymCyu0FaMb/t0ATApdm8uCKHi9MMR8TEiPQp275XOKEf+yuU1WSbrjRVnJyKqEKLbYRGMn9mDe/lKoN8WaCCTNmQmkWENWA+C5d6KzX72BUF18acYWr8twLUfV0V+Uo5PpMWQVCAfBU8/Z/zg2ifeQtasG08Bpx+OSJ95toVCC6M6UDvg6Reh9fX+gwtP/a7X0/OEP3m94OfHz7DOVQyx4LCbsQ4ZeVpZOUp7xEs0HQlSotKFG1qZmLGniyB9WBj42CQeHmbIklF3A9Y7CgW1voqRlcP1ECiCs4NJf1uwXQV6jlhPCZIF6ckqs26wHLg4swrWu4iwbnoiqiIsRAHqFJtoghji1Uy/l2J/g9d2y4eRj5QS1wQiD7GfGlkBiPtLoXnObpMeJo5M1HTgAqtToniB0cQAoBwHonOXQvQC6EGuVRjFgpgKtL7oL17aNzdXOKWwizfVq1XLiCqXyWiLJnLk9hUAoNIDzFB8wfJ7TAikIRE6RdTDwHu/ZNLVThdgXsyCQoie75IVOOxgcDETkeYx6ciRJvq3hlwRThdoDMhv75H3RoUvykLDjW3K1qO9cyQBYDC2oXFKUAyxYooZuY6Yc4KqYL9fkIeIyyUiI9jY9t7FkBXR3kYjoBUoYhXfQusoQW3Py9UUASJOIQOMsUzN2IKWbSClgyIeMt6+esJpGfB4vumfZ0IdwYIvBkcBoSTIEJqSOP922ndCTbFR9n1MdUPjrLEHHnzmgO4qEa45mICOtSn4MFqV0Xvp+TVPUIWbuCoQYvMvVX8WuZDREAK0nVY8vNQ/3woojaINmECLBXAK9p0omuiLK8FDrYCzollz+LVKVbgXcL+o/px42AniGqCn2iinXn2H6HWvofvdGo2y3T/Qk5zLDM0FMo3Q3WjvV/vHu3ZAzkQiJ/a2+75EOj4T3LwPPTm3pMbXjgzDVSCeTwMui2JMBfthxdv9CXNO+CEcyYbZDahrbJQjyU7RNLRRuUbDUgBrMwFgAlSGsDbGCqNvqZY4NRo5WitEKIAWC+73BWEsGKaMNSXUpwh/+O61mScBwL7bCiC697X1y7FNxMYxEfn2xEvmguT9duaH69ZEUk1Qzb0y2/wFC01xU2j1QBHSaI4Igny3YzHleaGNiBC91C0V3xPuYsm5tWsoAsohoUbB8JQRzyvpw0qqHlEMIBcxSwxPbqTVMNjLbM+5FSTZbxYXJiRMsljAWA+cN+5LzzPACjGiKBIgNyMkJwwfz9y3vf3AXyLQaQBk7CJfXrhy9kgQyGWBPF/QGAy+XpbK9xsHsjesDzcsbG1hQQ6oh4TlJhjC55YZBwzzwnWzmyB1Bj7yrdNQseaEB93h1f6MV+MJVQWXy4ByTgwfRm2oZY0CHRmcXt5y3pJGq/383hTpg4uDicUFuinOR1jxmz171Ww/HMHFQLuRm5sLcgk4YwddAspI9FxNQI+Uv4Q4K25+kzE8cGzrzQG6H+DtU62wfCmQD58RhwgIM4g0M8h0unsd+l7gpLswFcgOqJkoKYtOQAF7M2sEBgBpYctNMITT/XpbkWSTZM9fHVB2Qougua/HJo4WuCeIFb68qDA+EC07DbzecBFI5pyQbKhrRo9fFkOczjz/siXMNXH8iAxy33LUMp1h7W+w5BWdTWJ7uhfKW1FdDLUvCvesDhkYnrj/hM8nzvH7G+jA2AQLBdYkBGAA6k3AepeQnguGH1cIgLRLKBq7joGxGiHAcOK4xYVirWEpCKcZWrq3yvDdgPJthBycQQLkOeE3v33N53tKBH6CsthUOjW9JgUGYHwQ7H+omO8DlntQkXwksquBCREC6P9q+wwUCBNQrd+2jkR1w3GFREX+cY/z0xH5dcbtN094czjjf/3Vf0AQxf/lr/8LfPrxBnKKSM/B5np/Hl6cCStprJ4Mlx2f/fRecPyNIu/p96pRkNHbqHQwRfXbAhRB+PUOsgI7u+8yKRkrKlRbj0wMhzPtcnafKtaD4Pln3B/33yuGk+L0LmC2IlG2NoawAIMKdu+B6WNtAFjeCy5fgQXbvRLB/Txg9z3FDee3hT21wrH0Hn29UfwvfvFr7OOK//rjf450Sti9V9z9dUY+Bjz+IqLs6NNLkVKOWzlUhLczC1V/t0N6Fhy+U9z8/YqPYYT+F9mue4BoMG0jWjhdvrKNwOIkqjYbWn9hgaoOXCe7TxXTxxUq3K+5Lrl+zt8Ap58D46fes1z2FN/ShS0b40NA/C5cgQ3Hv+U9PP654vxnGcOPCXd/BdrN/gGvPzrJhfWzLBtDterCGCqoVVihZKzZEJGqhjRtUBlYheaLvnkPAu1gdHEeDyS2QkhiFSRv6vbqlGsx+YHSgpRNwNoOG6dUib+nokMgVu3KTEwkCBTaBQdErhAgwnzS6AntM9WTadtEW3BuB1ML3zdjoMpqqFs82MQTbXPZDtUAFwnxz/ODw78WMrhprkDwCrKpzrqvomT7Y2iYj7uiv3e77v74GfDBqtaBASJto9CpwVUN0aESNJEgNVQzNBpau/1cr8RZNAaIoTD01w3Wp4mu6potQIrudWnj5Am2+Jzk9XqCcDXm9qoloNSAXPl3qQJVQQoVMiguQ4UORl01qqMHmv2PPzCf0z0Q5UPB1asLHEnbYDo9fDuXYNpNtMxymfmr9/Lfc9TAkHSxDfTq1dAYC05UiZi6GE2wZ2DjGVZ+Jkz1z/szry/g5R971qoNscXmT6dodmSnv5fanvtyowA6jZPzlTRyChmJMiCrwNUm2tD2zdcYrPr4OPLsQetmqNTHyxNt4KUV0k+h1ixgeTCvPdl98btO0/zJlwjpzNar2AolQpoy+/GYsGzbIloSsUU1/VUEOQvWEpBCxFIilnpNgQM4BmUSSNRGyw9tj+ibeLMBMM2FZstWDHkCWk+u9/iVwdDItj4ABDWBLaA6OmDI2ktbkTb3PMFAbMVLJpCb8duMM2tU0n92Oy7K+6uggM2VQnq2/qRNZbn1W6riilrsc1+kJ4TWktFePmZKARZUC/qzcouwAqjvaRxD0HI328dt9glHl7xYSXaFtjNquwZcxGj7chs5p24CesWGcpEsL0r2QbD/r9rQ1z6um5/bzm+RK79idRq+z6dGd7abtBaeRm33c1zBs2AraLct5qyhxSmMXxJyDQihoqba55OgFRe/mF/+T0O9JYReQHHGS9gwXnw7t7XiQffV+3oQv9n6w8A+ctfQQHteHA9qe2yKuyCTAd7v62syCBWurTd/+5keQziDAkWgOVwdDZL7M9N+O515ZjGKo3d8zxfPdru21Gi4a22I6Mt9Zvt521fIZOI4BbSd7Ra3tL1oe42bP7IZQ38GTtsuLiy2WRftPNjMoyvaubVo+LXxjDGgIgQWbat2BeYUELxNx/b8UJjwh6xdWd3iuDpJ70G0Mayxj32b5y+CZ2e4SKz05jWnjDAQkqpRLT4WyIqOhHu8vmGnkA3AuB62TVAzgcWg8TM/021mHLVsNj1RESKFnIr3mCZFFEVVwad8QJKCFCviPqNkgZ5Dj0UVcP9b3lz/f1EgnaTtwesBbGnJm/BGYG0wCp342QhKz+kBUFOaV/8MIVMBCaQJF0G+CNY9Ve2z+ba68ne14hN75tEKLs0D9yBXZ1Z7zZGSIie2A9TaP3+7JqUIsAT85nSHKWbIHM3xQJCPYVO4tGcX0SjUOlBoU1VIiz5aAntJbDk7WR+9snDg/fruu3t1zYomGOwK054E00Pb4g5TNo+mBF8H9vnXKC0WCRcbb5Uv1rh/VrAcJJ0E5ZH3vB7YC/+HvP7oJFeC4mkeUfQOYyyYYsZcEuZ1wLpGLM8jsATEmcifCCsukq2aXEl1SWf2tOgQjKLLxVcnAQw59UGIM+kbwYR1ykDhk7ACwxOrCrkG1J1SbKhwcuW7wh7Bx0AT4nOnKBazJBqea0NVEUiZCt6TCxAZLYX9dHao6BiRj7GpIYeVktjDo3lEVfS+vqBNGCGdWUmNS6/+RQFCYX9GU/60wyHMGTij0xJFeEBk8HpqBbwvww5ZwCrxlab3bp8xPCmaCFXr0eUYpIu2DSoUU6K2oMhpCX4w5p0QPfFDBqR3YOg/V8yOIy6K6cNCG4WVYyhSoTUQ3bGqu44DcNgRvbMeFTnNRD2GiDomJkUxQqeEfL9n5XQhWhSeFoSnz9D9hPz22IL/sBJRacUEwCqRgCiFIxqCGATqytsA9Cnh6RwxpozLmrDkhBgq7vfkv12OA9YwoJQB8SJN4VX8vQI2J5IF5S2a0asFLlmt7yq0eXO96PofsQpfnSOezhNqFchQDVCOLcDVKKjKpE89OMqV6Kib2XuC6XR8S4SJfnPsymi+bZYsx1kxPpitjsbmz4mgLakUr6yveiUy14KQ5Mk5UTXvKcVaaC8EmNVI4tq7FBML6rYwAHohw0TcnF6pgagLwMNnue+oittKNMROmWylU219ZNtXTRSt47pCYys0KtkmSWULwSbIBtBsg0RaD4xcFuB8sQDflC6DiVkBpLcGznf+gj2ngQmB7ia2W2zQo3wTkU3EaT140M3ncHNIiAA/35Blf4VzQL5EnKJiXgc8zyOqCgs7xZSWK3vdLu8EsgpFaBZnpFgCvI8UWjOBtbDkxgwAAJlXTN+vaGieFS/Tc8Byn7AeY7PGKYYCxKFCK5AvA3ubpgoNAXnuVXNH1XycymFksrPSHodFFbvZptxtX4+xWWT5PulBS1wV40ceyHlPqqQjz+mZAV7rFwPPqDjzWuoQWXh7mq/mlO6GXljzBOGS+5wBIAgsLuWK4TP3mrobUI4D7Ypsf+CZxaThJeXU20uG82ZsfI5acScuHB/2FfYkwS3BEATB6LLpDAxPpSfFAdAxQffT1Vxv7IQ1Q5Z+T1eJTtn0MkTuv/V2jytqs8UCAFoffz2McCscKl+HzjAxMRMUhT6d+nhves+XxwnTfcV+uGAtEX//dI+igvubC5ZdxMM5QS8RZadYrJDuzzdetKGF9HUF1n0kte5zIfKbpJ2tefIkxm5z6eyefNgk0AIWCxNvNpeAEBR3tyeUGvCw8vwbPgeMj4YSPaGx2pb7hLBGIqgKExWrdKeIoFXez16jHL4M+8LKuEQFiMkDzwgNcUP/latE3OddF5oEoOz9RSvo9J/VIKi71FHPmUym+DRbgp7I9JPY4pHt2adC5Ntpy/HiRRBDxydPdojcNrEc9YIOXT0gZBF21Xz7/R14fllvcTop9h8KwqIYH4jI1jE2Rw3/299bsjYWIsXnBGWfUPZA2CXGNkNg7/gQANnDKe6oFfFpoXVQCsg3LEa4N/fpXcT8RhBmnldATzCmj0JROxEKk6Zhs8ABREUaC9ZzgDxH6K7i628/YYoF3023mM8D8HlAMuGndPGkjAhsvhFclM9+90FazKQDML8pwKsV8Vc7fP3fn6FJ8P6f7LDcAfEsTbApHwswVKRUkFKFvFbUu4D9mJFixeNlwv/1r/4xVAXH/Yxv3jzgB7lFXgPCOWD3ibFpPjCpbkKHXpRegPtfVew+Fnz4Twc8/GNFehLsvwNCpDBWSUB5s2J3NzfwLaaKV7/4iCiK376/x/o4wC2oNCowcL8R8xpeXo1Y7wL3hXcrEID5rbVBWjtINQpymANe/Y+C3SfFw58HPP6Sa2z4bOsraKNnTx/QGAfrjeAsAAa1/Qa0qcyKsEb89b/+OZ/FJ4p+LffA5V20/AfNFk6TYr2piPcLag6oT+R6y9czECs+/yzh8xwRTsDu39ECLd9QGGq5VzK1ViKvdQDmd5VCXd8J9j8qLq8Fl3eMKccHPofL64D5LmB+LZjfKOIs2L3nnFlvKupdRjkN0M8E0w6/ITA0v1YTVOWG4W2SLBSQjXH/KwX+A/D8jeDpLyrKsjk7fs/rj05ytQoFG1ZWY1KoWEtsLWaOogK9ElArEIwC0iqmfp45nXZT7BWgB7OObChaRd5FjFoVD0RzUXpPlycWagmFV/68GkoE2T7wJXLi4jH+qiAKuclMtqbqjiBFF6xYGdCqUahDNvsL/2MJkautqWwyxjbQfTNUxP7krJK7ReSaqrHyfl3Ft/WLWHXEE4KGhlhvFXsqYFRNC9y+jPfbZ7lolbx4zlv0qLrfXLXkaouO22Hckh6jXV4heR74uZ9ktKRqiCZwJRZAWmKxZmAam99lQ29bZb3/cQXFjqT7XOvoimRByZzrtYZ26TFUBKHJeknVVB87Pbu/gY2NI5Q/8T3eZ3+mjhBeD/hP/KlCBG7dihRtfh5oc/6nXtdm9Rb4v3zeHmRuhsWri149jbPQVma0RLUhUtjMI7+gn7gQQ9KuguCt7Y6jcNX7On/HazMXWen0eUzhEN88O9rLPpJG76xojIOXgZZXSGGxkyervV9qs85+12uLWvu/f9/3PchviNCL76duSaFWJa3JPIyNQus9NWSNSEtwv3gEWVDXwLm03fKsCtzmUwRKUESjgsMSQqeN1whEW+MUf7Nn6XOiaBMV88KKmD9lyLHPj83ftIQL3RYOaKyF7Z7XpoGgjUuwfjqBoIl7bMe9AhhYhNgWKriH8b7jYmdXAllKUGpArUZ1977MdjD3Pa0VlUq1Pmi/b+dny++dN6232+/NGT8+hWxtBZXWp+zj5gJq0QQBm1aC7est0FbYnHgxHy0J4N5E9Gx7RrtdlQYTfNquzNaC85Iu8lM3aXM6+DOwvcj29W2Lg0YT+hmplN/65e2Z98/fDKpurqHI5vjhvg4AY8oQUSByXtUkkAGtULdFAXvM4ggR113IVgDxlo4m9GY9u77HbrUKrEWIrDd+v9YAEXosx1DbNUHUfl7bfPOiqVZwj/PPghVafC24sBr68wMsUTDUKWRjYkXSWMVonN6bfLXxeuxh6763W/nY9PNOozR7JmfIkMWipCarNt2SL86f7UeK789o808SGhPKi23lhYZCY/x5wpu97abHMTWCsZX2vTwUtaK82fxs5z0256ez0WxtKJgIIjCQp5COz20loFOBAIIvXnRmn+lgcQs/y0URVUz8SMzKzMaY1oumL7CJWzozgKwQR9l3KeM4LPgw7LGuEdUYdz6XGvssWtJmHqfxbOM/2nIKQLSiTHqcTbxy12OEgsZiFLPqCqFiHBWqghAqiuUQy5liAmretCHWNt+hm6TW54dyMogV79Nckc4ZkAFlX1mUgTMrbW4GRUoFOUesJSACuJ8u2MWMT/s9Tmugyvli50lSSKRNnwDIU2Vr5KSQqUJiRQ2RNOA5ABfzeh6U2hyrIJ2pIVF3FagB0YpfPk/ihWrM1CpSNL1T6WtBbe+NC4XfmoZIhdkpqb2PENjzvEuAEKzlTPkg0lCwm1YMY0bOEYvuEGdSr/MNDP0lKBJXMbcYNFYIATC1VkqQBSmMMYqhya7yT6DDYqgAntfS50ZctOlDaCDKy5hBWnsfzzoCofFScXk9oO4qNPwBZwr+AZLc/HGHJxkQxoJxysj7iGILKaWKcMf+gHk/oj4lhEvA9IHf56I1oZ5jINL3GYBqQyrjpSCulRPuBU1k2/uw+1SNzmH9d8LG6Ssaoe2CjqSKJ3rapf8pChQR1wqZCwPvKUKrss+sKBFcp8pawNISQVuIw0mRznyA8lY6Agqj2sxe0aWpvG+OjeLiSX1RhMtMEZpphO74yPwAY1B7HZT4e8Uz1YfrFFk9LOwd0Ki0dBHB8MjAp0yB1blNcpTmrgypwfpL52pVPipUS2F1yl8arVdo4IaYzOS5Jlh1jAetYBOMiEARvhBD0hBI9fEeXIDjHxQNAQIVJhHYQ6d70jfjkejWepNQB1JMHBly5dYWmIwAVKgmF4i06RCvYqJ0CljPEU/DhBgrxlQgoniaedKEwGrpMtZGzVYLhjUqYzyjvYUCxHOFW2AAfo+WFFgPXyrKavDApH84UamyjAqIycIfhP0la0TeCFNJFquk+oa0ORgAvqcMtDLyOeO/OxdIXXt/p6v2iphKZGhzIu+5uCiI4sEmryMsFvwvwGgMCQA88BGYHOZq/tdE0lo/Yi1MgnxuF+v43wg1yZK5BncCCYJQKlzh1tcREZ5+79NDxXDaoCe29r0H14toNQmQ3IYL1sdltlO2p5QRbRMPEc3HDQAFnwAmL0NkkHTuwZD3GTehnYNZM3gxx+1TAAaCKbI3VwTuMao7qry3XmmhAJojGE30zlpEsvUuqQiR4xj7Z9hr+CzI+4S8CvK+QG4WAm45MtFNirLjmk8nHk5uybQejEIbKtKFvedAgnueBmcOmJ1XE1vyPcD20rAqdp8rylk4z8+CUBLyQ2Sld1SgCNLZ6FCztL0776Tdo8ACfSsQfkH79sTL5qCowr10yz51SlXmXCJixWBYM5ByN7cPKwWqhmdT+5+r7Y0Z4bz2Z+5JvT1H9q9p61MGuO/1jSeg7l4c01URzxkqCWEfrijJLtrTrLN8TWtPzEJRyIVuBlcJIdAsy8pgdLVoNE4BVCmEV5MF7S3p0zaGbX4DrWAHoCOzL+mrYTPH7ZnIeSFrZ0zWS217pDE1NAXb191eDZu/bZ4LWAjdsiC2nx0V6xrx6bxDrbSEG4aCw3HFGAvO754x3wxYP02Q9ywq14nJKMDALz1TBXarmMwxi1fFh3SmtsLuwwJZKsohmaaFWTZlBqcaBOdvBPmOBdVaBKiC5/nA+f4QiUDOtuZEsAjjid3HLnLUBbAUCiHNvQLD40o2QZ64ryVrDQi9v3jdswhfJtIWNaAF1o0ZsHY0G+JoqUAGItTpzPjD2W1xqTzbgNaj34qIKaDejL3AbPoiYRXgGJFdg6UCKHx/FfZa5n0X8gmLYniCFXOs4GR7vqsq91YbtKBcTalVk6s5b5IKB2oFqGOk+jdg1neM0YguuzWbMBEuJhq3UEDK/XJRK+phRDmMFFvdMX5Jz2xDKPuhFeyLiQX6KyyMpwDarWii4i8CsPx9xH4/tn1lGw+uR+5Z8yOROrxakIaK8zpgKRGX84hyScBUMP+skoGVrE1ipsJvNRVuwOjCmz1lfB+hn/YYnoDHv7zFug94/AtFuc+QOSCYvRpWgSJCbkhPhlGUT6cJ+XEABsXh/owUK4oKfnw6Yp0TpDK+OX9DK6J4QesXdfp0MmGjT7+MwC/3qAnY/ZYCTudvFZJp7SZZkD9OyNNEK7AMlD3wP/3FgHG/4rBbcPvNJ/z2t68w/d0A2tUZO/PMPtRxI8J12SWiynNoc6zuK+JzwOHvBgqDVcVyG7D/XjF9ilhvTKsnAPESgDMwPjAu8aJsyEB8Cig22GVkwlhH7uHpJEC1/GkP5L0yqV8Dhifu/+utQEZ/PkeemXcZkhSlBJzPI2NTFci+4OmXaGMKBab3Cfsfe8AYViD8rdj5DCy30lhMKsB66+uKE8PnC2w9QoHxY0C+jJg+kSVBBWdqKa2vK3CToeeIcAkoe+U9VJDBsAothD5wLUzfJZT1D0tf/+gkNz4H6C6iZsGiwDkaHc2qR/tpwRArPguFDaskwORRXSGwelJzFoxPYMLh9jM1WBXekbqeiPkhLZXJWxgD8h4MdK2J3gM8jdrsJjwoaf1iitZzoXZ4qAgFSwbreYsA5szeJEuwmpJrQKu4eP9L2Mjer4fYq4iw6pYFR77ZN4oPLECp0uiuMq/AvJDKZb02XYUy9D6+bVBTaRcgZqOBgV+LS7XqtLCq9VwxPGV6YqltsIOP09baidcaz4ymyt7Ubys2KBhQpVuxUP2P11Mj+/e6MI4FPT4uAW1Mw5KbeA8FiTbBkQdKsqFjXyjQkvdOGTdfZRPdqYmLsm4Cf44Rx5pJLpqaqAYLsDaqrGEWlIUIl4giDRVVgdlFL4SK4ktSbnzZ7tn6GRwBrGJ9E2WD/kW5SnClVKAQCeNcT8wJEDDUgpADsllIQIRFJeVccPqVqwaTco5egLFxrANpkGKJdOtvVc4blALBwMJDNK9VAe2hcoX3BAIRZSRjwosGvY/JkQGjtOVe2QsKVj9FmMyqNlGpluBue4xUe4ILMOnNRDekmBiVVY0dYWZBpVdNpQKy8DrUqutb5LWJiggsuQcFNgxBbRQ62PMMfJ4RpoK9BY2CAJboigiCKoOkTU+XZLvPIVGcpypkXiwZMrTP6DBqVH2I0DsYSmX1fdrsQ9KC/WJe2FsbnkbjFNA/dBggccT2lU4ATvZcA1APYoC6EEEN1kt1kdaX4yhaHQXFKIG6KgDu405Nr4HjgGJJqCOAm6BMA9dCeq4Ima0QZArQ+qHsgfWGe3u0JLdR8gPv24PvPm+88PciyQUaK0dyaXt+UEXdeTXDEt1i54eqtckwOHVVYz9D4qUyqC+2ltcCOVspXKQxStpnl9IKHizcpWvtARd82wa8mR67YSTizTkPK9hY248VZhxh41jYOjAV8FoDyssk1wKtVhCMHSWtyufXekyrNnshqfULtHarlKzmAPDFM7CeW63VPHkVsqx2ZsU2J9RcD9Q9zkfzU7b13f6OPSB3xoIYC+L6cxW1JMwzz9pSrAAeKC749njCug/4zRqhny1eEc4jIkQUrmNRy/dfzj+2chh7JLMVIl4q0sczE/jXRwAj4sLgGBWYPpNivB4pogm1Z54F6XM00cfOmmlsJAuK8QHWlqQ9DqkgepYVKoowZ4QninuFdWCQ62O0+DUH1hOqYHnN23LvUj/j2Q/LdafCZJhzoBf7RZX2RTsWqqLWPhcViG4XFwU12HP24mhWIHfxnyvWzcoJP7+KLcaAeXaPj7WfdZbIxoD2Oao9dmz7d0R3v/B+zVV6wL5Zh0TQ/dxhIRtGb/bCalCeX2KWZXI24TNTVA8A6uh9+Lb3Re6tZQpYb71dyqapq84WY5IMnvQA+aYCEVj3BhC8KJYBgO7ojyuXCN0XjPsVMVYsOUI1oeRA66pdwbhbMQwF9/sLigq+++Eeekq9NUM7W9H3V9Jj+dxP7wLyUVC/mnFzf8bz4w7lHIkA2p7J4eQ1RlGUNSB9SijHiuM3Cw7Dih+fjpgvA+oSWXBICj1QdCD8kCAXwPVMpHAdagROP1OUY8X0Q8T0kefE5TWL7IfvzLv2E6/D2/Dofz5ivou4+8UFf3r7Cd/9cI/h0eeqAKKYPgriWTdIsmC58LyNF4/zKGgVMnD8+0pVfmvnmx4qxseCp58POH3LeRYvTJzTme1Rddj0sc5gbK+g2nMyZNStCisFsuoI1EmbSJW3yIQcIVUQT3yv5V6wvGEvthZBboqhQBgLptsLag2YzwN0jkgXYP+ewOF6EIQKjA/cz9cj6fwamHDWBORb2gx1LSRfs9JYF+mZe0l65nVy77Di0jHjcHvBGTuGRwFwBD8fBZIFw2PA9EAW7PgA5OX67Ppdrz86yQ0LoLOgwvzDQkUMtU1kVcG82mIq0iD0RvsDSFOzYNjpnO7/1zZN53/Yr3Mjrb1iqkAYFWWgEbFk69/wJDdIC0ji7Bu1Is2ONArzxUslIlQUujcZfkNGiWj5NRcG5VEAV1Rs4iOerFr/67PSo9CTUL/mRlfuh1NYKuLFo0d7n93Y0MUtFYiJzApUJoiwBNjRuYYAKHtf6hBQ1fzYVj+YXvjZFkWyBGx4LIjnzEA6GoXQe8UyEJKaV67RfgZPCGxvyBxfLwC4GbonTCwGFMh5tUnNwFfW0n1kPfF3BWUL/psXKONxwJBmOZcWYPL+Qh9wAO5/2ahmib6AECDviJ6JKrBQ6bm9lHMqLxExVaRY2vxWFWTt9LeWVFiwFcwjNmSOAfvGzC/WVGebWJlybgGWMAaOYwjsndQkgBKNLNmStGpU4Wcezt6bNDyzqp7Oyn68VZFO/DwPRPo4W6CqStpT8j54C+xz7ckfvPrC+xlOTOwhofXqOnLU+3C1Bddwmp0he18IADW6+E8kJcBV4isF7FVfaLFSRys6RLBQMF/vEdv/hysoO9Uz+3122i8AhEBqGC1zTOHUiiPbBJqWW9WKQzYPzasZFS0Qaf64tVIdOQi5ddv73VDIm82NfysEo4A5BQuogT64eUfWCG0DTMnxaJSzyQ9Hs3SR0A7SPrY2OEEbtQsAYmR1fxFAsyJnaRYdLNahFay8BSDAWCrFgi8XYtq+VLnOqiCIMJGIFthmMkFqZtGQfYUdQWalvCd4Ps+7MqpYYsXErs118Fpb4isC3U8d2RRBuJTe25g3aH40z8eAtqYcYXRV7vZ5riJ+RYtm0cKfn4ZwTXdcc6diiwA5IGYWGst+YAKc7WdzRbrUzf2gU49XbouOfDaKqCd9lcGm9yVezfdVIcPm36au7H2ofl4GBMicezIbApoVnP8baBR73bITtghutUTfkHwXC+zrYJOsW6HJBdXcU5m+oUxw1zsGWvkQMe52LC4NA6RG4IMN7VNCOVJoSoJiTBnDkFFqwCqxiVKFSP9K6Y8I6y0RICmCaIXzuHIORrPMeSl8pFFQjhPCmFAOQ7Ocmz6yYOgtBekM4H2gwusu0I/z0dCdC1qS2wJJ1RbLhNWLjzb3tZoIk50nQ0R5e4uaAnVNFsY7GgX5EJB3LAhDiYzuvu+FZA1oRUu30hFx1LQHZqGQFSZWcAlZerE88NwD0MaTrAD2EacTFcPX26ElgNG0FVyHxem0wzOMFdXjrrhacdkKkyHTp9f3Rcgm5jKRTVGLDwUmtNljTo3AchtodanG0Hixd6FKpzoPrC5LsYKkdjVwFy/VMbUWCo6Di1MJ2YOfM8ouYL6PtueYuvC+gwfrrbEHRm3PhnFQgE4BdeMzLWsAjgoMpP/WEpBzxOnzHt5+AAH0EjGfEj2i92Sn6SX2n1EKFrmgUjpdFzldcLGMgGbB5TwCH0fsPgYKGQ2ALorzeoNzADSxQI0lmB0R8OnhgKeh9LYrt0esXK9OT6+TYngQTJ/JROD5ZglWNfrvZxtXe97pRDXqz3+ecP5aEeeAdOJ4lpsC2RU8PO/wPy7fAJ+IwlItXxuIFZce23VhOkWdbM3MguEhIc5UYN+KmmkI7TweH8SYprAeXhZtllvB5S3zlnys0AikmYylmk2b0uer505kZ3MtjYrTtzzPz98o8m1BuNBDt44KXQOJqFOBhIL1NAKXgFoFl3XH+xk8D+E5sB4C5jc8b4dn7v3rsVPluUnaeFhbGFTMdlTYH3+x8VkZb7PXO7QxhQBySjjHCXqOiOfQmXYCK7IollfAE2Jbr1+08v2O1x+f5M4CnTkI5RAwpoIUCwbjS38+77B4kpsDKauW4FbGxaT+OP0FaMEzsKGY2YYOoKkLY+5UNNSKNEQAE+ooiLNXetFsVLZ9FABM/Km2Q1MqMH0sSM8rlUkPqffRqLLiFszYfLXoyhLLuJDOF1YqIOddRD5wJu4+2yFjaFAZeEBH85bbipHE84r44YkV68MEDQH1YGiLSAtUACYl4fFMKvPdEWWa+H5nIpvr3QRNgvS4Ij5dEKYBRZNtBLRgWO8n5H1sPVqhKsLMA3P8cKatw7tb5EPsFWJw027PCwqMRnc2NA92KA7PdjjVa+TSzc6TKtLntQeCwQKnNXcEwgSm3DvVPeo8WdYNjciTJya5o11QP1SvVOKsGlZeZchQsR6mHqidM6R0oRJRQBZBvUSUKWOXcktwXXVZPZLcImdiAhGijf5IYQvOo7DINY2yVshsAzsAiJb0W16JBQiu0DgIRAPy5pCviR7MkG6qns4VwyPN6OPTguZfapRJ9kca3VAE9TBdWau0xMyRKCUlj3ShinE1dkB9ESznnuBS7Zr0Tffj5Tyyvkz/UkP2BQYptLn/Re+qBdcy8zmFm31HfAAIFMnFCTZUR26wfT6KFV9kNesbQ46cos/NlrR3VLPdCMCarGetemXYigi5dqGlTMstHSI9RTcFGOQCXVdT37T+zReJLhGt1JBd2s5Ip7QWS7IsQVsPgrLvjIV8VCxvvLeJQVzeB2DanlJ9XLe96ki0EgqhIlof6ylV5BwwVyDnRBrdZWvFQTSt2JaVirb+wJBrf76be/SiDkQYTwQTJMxmkyFoyXLZhWZt098DreUkXjaCYQH0u/aeuiVbUmXzxtgC9eaAeuhiLaJAPC2WgI+Ik4tJgDTDAwX8wsp9svVdqs2l6kXPwsJRtLXkSKZfn1vtbIo6Tt33r4nPgyGh7gZUY1CwqFKRnq3dIG/WSUCfy2J7bWMuSJtnpHp6kmW0YDUGT1ErKAJhZjDmvb1SmEj45wY7S5AisCpRKxFg7O08fX9/sYadxVEVTSF8HODZhAtpUUGcc6MmoiN5ZxY8gyAfKJZSB0W54VjMdxHHw65bEG24luOngPU+oo4V47Di7nCBGIVyzglF6RoRYsF64LyVlRdVDkYZ0YSwBsRZMT3ymcfF5zoZI3UQlD1p1evdAFEmuHVk4ebwXUbZRTz9PKKOpA2Pn0njI2OBRXJHd3w/2mo+UMSpIixslakb9gTRz8Kz7m7EepMQLxXDw2IFCRYZy5/eUFDPj9wZOPxYAAVOXwcsd0xqXMCvWqCZ5or0VHriFlhckKo8czbFPh0isifhnuROZFuNDxSM1CGifD1h3bN9jRaGFemR2b3T16cHQVx6ykkWBed12bGVanyoGD8tyMeE5Xag1dGpWwC1WqklLHFFLxYp59VyB6OU9yAiwItJFe4QQt9goEqwOCk2RpmLXcJ+L6zVeg/987k2w1yQzhesb/Y4fW2qt3dd8wCglc76upDBNBZqFMRoLB7GnDn3vSzMAowFh9sZ6xqR14h6Thh/mxCKYH5ToIeC8JwwPAg0RNRhYPF81Ja4SGVygp9fULIg/tUO6cQ54IrHTfRtDcinhMNvA45/T9rp5Q2LQoPZ9pHKDpSDIt9WqCjWTxNWAWRXIInFJx0rcAkYP7EoVA60Bjr+neL1/3TB6esRH95RIM6dPIYn4PB9hoaE07fmCftUMDwUnL+NePtPv8enpwOePuyAAAy3M2JUXD7tsJwidj8GxIshjealK4XtKq4a3BKtANSJz2P8NOLm14r1KDh/a5Tk2QWzBLO1t0zvYUAen2sdBOd3gvM3Cv1Hz4wpTwlYA8LHhHTiGHtxvey1F52yNNfLcqh4+lPGnunrM14fLzjPI9YloS4BckrQIojHBdOYsT5MGD5HpGfB7kfuVWezHmKbGQvj528qmXqfeC9lTzHIsLp1qiWikfONqC2fg8efosC6cO2utxShGh4Djn9nFl+PARkD0nNAmLdFMCDfMcm9fFWwvCKDa3z4AzNc/ENYCG1flYqAIopdYqAeQ0WMtVU9GGjaOW4VEkdCADSBIjcRFzfmDpsENQlpNGYTA6AlQMGq2GlmNdX9PLd88Xbz9iBbZcQTae2BaEOcNsGnRkNXRBqVilSVF0mgo6VOETWpbJcHihZMMEi2ANDFbkLAlWfiS5THk/ttf58Hi46KVjV16dp/b/P7/h4ha2MOe+ATirIPRfZNBEoFKPvkGUSr5PF7akJbgnhGo2NvE1wxmp3bAVXzO9VxuEIzEAPUM9FtfxcqXGGWG0xPqNrQiLB/NFhwZ3Q77ytx2kfboAaFDLUr2dZKKuyaITXjd72CnYS7lJFrwJIjCgCJijpVAIHofXXKvLS51xEXSygSKaiO+PnLLUSksCIOWHDjSYNwM4JK93WtSsopuMHERfta2qr9FgF98SwR868bk0KBJgjGi7FD2hA58STUxwNo86ijxGgUYA/+GdBubrKiI3y1ksL6cp5uXy8T3VbwIdIdDPXq3/f1R0J2e7tNoNj64e2PXr13D05cNMaDNCl2385EWV9c7++6D/93CJBh4N8vE9xNryqrgTZ2QCtQVOvVrtY7XCb3ajXhB7Mc0aSsmgcXHYpN/IaJ1AYldiGWURloiM0zK1qGUCGySTJt727tGK1yjY4iarXCgYvPbaJcgIkOAIzeB+vIj5CGLkRyvM86GjVry34gsluRzqU/89rnN0SgY+Les/S57vO97ZF+H5vfl7W2IolTUBG4T0pRxKqNhnn12lLtX/QDS1Voqf05WCKslbTelhz6Pt/mjb1B3KxHNeaAEk1qAmF6/XuNFZU3LQcxbuZeL6IyqeJ9RkPvXGXfz2dn5vi9NobBdo77OANwavLVPG9ob18TVy/Vdk0qAXnHZDDvSJnz+U6bE8YWiH09o1RIqNAv1iADYjVEe+eCUwDUElyAuiLrVIAcKPzVqCDbh4mGbLZXZbGbRfHrrzc/ae3UYoq7aE9kAStIdMZCKzL4s7V11oQrrYjBeW1zZYsmt55Nv95+0ZJZEG0J22aLZt+jodR2L9FbUla14iZajNaEpgzdc2YMhK0Igh7vOKtMTOsE0Vq9As8LZ4WUfafx6nbub54nQwbfr+25DKEXoDasDwAdwfVltd3H/G19HxOBCsccPoVtrP15XbUgCazNizGcuJeyFx6A5sDAIhlbtdS0RTxu9T5zFh6phwCLV0JSaCioaWxFIGnnXb/+mBTTsCLngDoTnV3veaF6LAhTQV0Dykggw6npToMte87jOirRXfe+TX3ut6VQgPRgnu2BvdN17GPf/hQmaTUDsgjPh8Gu6RKhm/4CWUM7m2Xl3IOarkibC8DwaHZDlb207XMV5qHN2PXj4wHLaUQ4R2hU5CnRSsmS0K0gLMQYREdgyR7v93WHLJCVLEeqIKMrlYfestfmnVghYLOBNOHCWTDPiUv7FFtbTN6jMQOJssoVKy2sAJ6dGcOzNc8JT0KlshAqiy8LmZLLZaANn1l8Qnrswz7ZinyMWO4jGRD2Wd4TXJM2/KGJMY4scMVTR6id/VQmew9rnUonIJ55rp+/4niWHQvxPGM9LrNz0lhlYQlkEJhnfXmxVn/X649Pcn3RRwBF8HyaME4Z97sLppixlogUK5Ylsh83KfJeEQZm+6H2DVyDYLkJCFlxeFoRz86HsAEyi56yI4o0LQXhvKLuEqlcAaQLLsDwTIMsRzg8KeJE4CYQLIDRFEzRU5tAQpgz5OlFv9RhYlA5pUa7YbCriKeV1N+JghghK+Lj2jYuCCBDaJSKwVRdw8xKZzyvPUkdaS2hE+HueJ5pHO5DXrVbL3hSfZkRlxW6G1FvdnBLHQBfJE/tNK69UODBciid7jy/25EytXJcNAlOr1glnB4KBSIsgUlJEC+RlbFnbj4uwtMDK0V8mJlAlgkyJUAE+dXOxnBhkj9EYExdpKZqFzXZM5hydU1H4AC0A76MgX92gYJTI7DcAnXqTfo6KsLNihAU01BQzBpFzibyNS9XlhNbekQIiiEUjLHgkBZUFfzH8ga5BIy7FSVV5EtCWQZWATOfv1PN+Lyr9ZsE5AEY1oq4FNsxenAs2YosZwpBeY94HKgyG2fee7X+UwCYPnbqe0vOtgh3taAdAbJkyGXZ9O0x2UQWhMsCmVdoitD9yMPzXJjHeCAOtEq1H+xxrr34BD+cSqdie9HG/1h/FlYiQuoqkZvE2z/nisq87fkLsM9cexvBFiEzCrxGQYiR1Kpd+r2JiM8p79sdntk3k3c8dJMJSQ3nSiEWS4a8yMT37vfZVMVNcEr3EyA73v/sEtWG2G4RMLtXARhsHHcUWXMxrJH7ZhkF6w2pyvmoKHtF3VWE4wqJpB7XElBGE7lKyfwb+/2WESi3FeHVgnFaEQOVXZ2ZE0VRQuWaXikIEawnrvWdWwJRByJSNTEICMXS6QqIch6gGIOgKvdXE+kaTtw7444CIt6rLmUEhMFKXGpPaBVIzyvCM+1Iyg2Rarcqo+BLQpgL4keuMx2isQgqLThKXxsYBwbsS0bIAUi0q0EhWt/Wp83psBR+7nGwIqUl9V6k+ImCjawZWDNR2uPOprhAc2G7QAi2/3FuNCqyoTaixoyoFeFp5vsfd+3c6PPHzwxlb/hcEC5EzXC7Y5HNL8+S6nip2H/E5nM9IamW5JbN9QAKC7LXwLPJWSIAXH35SjXZ55zRN1sxAoBrCgBqdE6q2pad4PKWgdflHSlzbs1WRqDuay/omPqwns+cMzGgy5Za8LvSek2OwLv9EwDglGmZdckDtAbc7GfsxhXP5wnrec8kz5gnrdVIPeCXZl0WikKWSsq4eZ467dstmzw+kcqeXAbFpoY8dBE17/X3M4goiyHwZiOjSbC+sAbyJJpjrz2uDtbrrbBiJUWp0qWgTBH50IUFVYDpQTE9aLuGUMxirfZ2mzpSTIu0dhsT08Vo/bELEWSnOwPAUCrSM/+Rb0j/GD/x3F3uR/p/7gLqG99DPElycSl+lgbBeoytbSDOHMPLm8FQL20tU6EocrT5k4zSCsD9OBuTxcdL+h+qzgaijPbtth/4S2E6FqSBQ4D9Dwvik9n82PgDPLfX29T0QABaThVjKZS9GqW2QvdEOMcpU+gyFZQSUPZ75H20dckCVruUUXE4zvjm5gm/Ou0QPwwotwX/2f/813gznfCb0x1O64DPuz0u+wl4SLj9K4718k4xvr4gBIWI4vw4YfzbESELNCqZBjYI3rYSF+Dw7/nvh18qzr9cER4Sdt+HTt/1lqZifeaZasXrK47x+J7oYpnItNvgUhgfjDWkivPXA9Yj1086CW7/pmJ8qji9i/j857QzTKYG/fBLgUpEvAD4N7fYr0xA6wicV9J548zeYaf/l8kKIVPF6ReK87eC9ARag0Y0f/T9d2RgBGvNGk4C+U5bjCCFdPPsIkv3aO1DEMXtXwUcvq+QGlDHEVBTSa7A/FaxvK7UwRgqwlPC7a8C0kUx3xv9+TN7e2skyqpBUE8jNI5Y32Ts356xngdMnwOByGVCGUZIJOslZK73OgD5dcZwu+Cp7LHedDs5ikvVXuitRHF379USV4s9P7Fl6Pym79FOTXb7r7u/qrj/tw/48F/e4/R/+Iy7/QXvH45YlwS9kO3birIRQFLIVDB+HHDzt4rLW+D084qy/mFZ7j9Iksvg1iqLtnsNoWAMGVPKXPNRsUaFVkUdeVDrbNUsq0ApvFJn722Vj9bDqpvyhb8MFdIXle1GkdlaQvjfFS1A8R4pF5P40j7IeoyEAg2A3a9V7gVe1dDWd9auQcEbM1qt+wqyj2STgJTKAz4XopghXFe0nc61rczXzf/7dVf2+rVis/8MgcXrgF6Nouljashg27mFdFhXhY5Zr58NfLLbtWUe3BqlKU6+NGNvtG+jyLogBJy6Y9ej2KA+fn548NmQA/vjH+F/W+W3GlW9VfgjUds6WJ/HUJGGghiNaeCVw1IZpGnFlf3E5qDjEPJ/xpBRNWCIxdonK+O7IqgpsVrW+sI94PN7svu3SlqD0zfPvT1b/+jAxRIKLayawMgQUGC9UN7nm7dzZvMZPqc8UaymSrxR2hWfY9UWaPF5bhdYvGwsjX4ZMnu0w0rBnS01sX12m3P93mSbBNhc1+3J9vtePic2qJeigk252gVnrKVBrASpNlat594G+OX20hRKXSPAA1vpSIz3nH3Btti+fM/xxN2/Hy0p2Cbz23vb/u1vLXwk1Qp4NckXaspkLFTS2iJtG2LknLlSY39BAyezoCImWxumsRCchSDKH/fiptllaeCFqcCQzX6NAfbv+uL+GoJ/nQRyX2aCFFa7PmMbuB2RF3G2SJ8sGVhWiKa2127f96XyaCuaOI24bvb6FFksKUzIWbnv6GpDR7Xv3+LP2feIF/vtF69toWcLYLakEFaZty8XhViBoY1f3RSu2v75Ey/ta/qLeVqlsTO8oh+KAnM1ajTv1Rk+kp16/jvu6+U83n4WXs5l3qsKID4GXrvy97aEQ1NgD25jK2hbs3W0fd38LNue2tgjL+57Ow1CtWJlwFITlhKbN3QQUvYvsWKC3yOPAAEAAElEQVQN/Vq+QHJNwOmK4aC0Ebneg7XNzbbFKSm5LOYYSwehB2e+VZrKNWnR1Yq64focRE88GlMl+/5oe9dVrzAHXSqTchWBTGJr2daZ7XluDdbQuGxz8UWs2VwwbA434cUs/XnAmRGcWzDKfNOJcJ0KoKG5/v9SFalexxf+vW0x2vdJGL3/5ZHS4yT7e4O4bVHHHhNtf1fauAcPtl8g2RxfA1gqKGTqLJrq+4eNzWa/7MitsxMUOlTEXUYI9JoVIZtMN5YsfPYb5gcAjVQzHkNBCIoSFIiKd7snfDM94pQHFnWGjGVMKCn2MQyKGCumIWMaMpZ5QDCrKz9nmnWnn5268Z2vAWEs0EDhNNkoXvNa7djLPK6lcEy9cMqf6cwDBwqi6bx4P76/V1yMGltjb1G00C7v6SoyfmYvrqO1Gvh5dbvXbp9/FkgRCjsNRLL9e14UiRfqnpCyzffoHq+wggwR/1qlU9yn2uZUnKmOHExYKhh1XgXsvY79jCCFH42tIIXX8P/l7U97ZUmSLEHsiKra4u53eUtERkZkVWZXV033TM80m5gPM8CQ4D/gn+VXgh8GIAiQBMmeXqa7CrVkdmTF+ra7+GJmqir8cETUzG9EVheQjXHgIV68e93dTE0XETlHzhFXwQ5AtLHMd8bsqes9k2HpLjQcS2d4IKjRxI01AD6flj8Ebef8du146yJbDOwZOLgcr/8bF4U8nxHyHW7GCa/HMx5OO+TFk38rFGY7A61A5+1Ly41RMP6RIeIfneRqABucbxd0fcF+nHEYZny5e8QuLtinBZeSEEXxMRUGWQrkHHF+PyIeCcsPD9IGRUUw3yXEkZUHVwVOz+xX6h5tg1y8Gu+eqobAXgXUQEVgUm3X3BRs/f8LE4NtMFJ3HerdyB7ZHx/gfm6Ezcv1hukBalDE40TEqE8oh75V9LxaHa03TV4GxSlAYcqaFiSEs/WhDB106CDT0pA1HDre3+my9kAFC/SXeh00pWAqndLowm5rUW965JuuJUWkDvStkhssuc17JgXDA5PzdCorgmqJQpgK77eTdfOOaII8UEW+GyE6tN5EKYpaaS8ik6v69u05YeHqceqSIwJS7fs8SNoESLULWA4BeSCyVQdDtgYiW+h53fOpQ+wrvnj7AAFw7m8YLMYISYlB7Qe0e6x9Rdizivo4DxhKQpKCIIqbbkZ/W3Cce5ymHrErWG4L6iKQSmq7FGmJfVgiaS1mr7Cdj2vwyjnZkE1DACXI2iPrUzAKe9LrSnuWl0io/13EDicLjg05aoq+1QYyRWgcgVIRThd+RIprj6FT3xIrdUSVfkq7bhukH8BWzPE5y2BMfkpVBNZ/83u5Wm9c14hpTT48kTVqLiePGIUdpIV11vvn6pZgYFJTAPpogZYFWQtVEtv6qdLoNMED0lxXdWwvXE2FKJxTYmuFXOz6vGix5JWhcSW0AxPvKewn7ExBeaMJEC+lUZSXPc3XiZyymKMumJGY3IagyJk9WXFR6ML1T8XntZijvULGgsNuwq5fcNPNqDB/aBXEoOhiQbdfsChMOCRS/dMUl9OFSpTB/DU10z9d1ILXQnTVe6nRpdbyEZ8nuLp52wMMiUcuiBt0O8zWz+m/c1k4blURn1Y0X/sEOS/ony9XiZmj56T68Y9acU4m6411i7gp0FIuyqpyfV6IQnfJFFOtl9fmLc+ozX36XtUZejkvwJIhIm2vdzYDE/C4Xp8qwsMJwff5TXFCjWUEEZR9B+0CGTqXxeZpNLYV10vZd9BbN9nkeMQL51tLrjPWwu+LV2vh2dyTTIuJZhXARQLtv45Yuz3b1Tw3MUjuNbEVQQE791JAvmUvad6RgkjrNEXeW8+eJbfSkV6vpgSuQXgtbh+0OW/zQVFvMrqbGZ/fHPHn+3d4LgOelwFFAz4c97hcOksqKvU23pDHqQtZNM3uJTA4C5mICi3b7Hx7UTj0czY2CjpMB6NAVLHcdChjRFioo8A38hl7by+1HLiWOlM83epTOG15ue1YY39eKPp3ycYcY9sQoiDf9qjRRI8a7ZaJW//AGCXvI/JIl4tkPXjzLTP+4aEgnk3vwaiZyRh4y01C6ULzZ0ZVlEO3FlyAVvzj93LPyoeuJTa0KlKEQlRpOXDP7o8V/UNG3kcsB46xC86VQVBHtut0z4yF8hha4liit7aBhYnK/T+dDQU20Z1GjVZrPVMWDOJU6NwwRAIWzxRfKzc9ymD3eykIVvxrSWgF0FsblRUrRBXdY0aKgvk+YdmjqT2TOqqoe8Ydw7C0JQewNXCZE26Oiv7ThNpF1CFetevIWFBU8OGyxxf3T4j/6gFBFO8uN/gwHci0DLTtqXMExoqnf8H9SrqK6dLhbn/BP71/jxgqvnnqyEyzZDU9B3RnU8ndKaQKxg8F/YcL5psbPF92GD4BN98WooF7c7u4X3UbOGcYE3kBKR+A/hOw+08V843g+Tf89/Be0D+tBRd/vwrw/FXE6fOIOCv23yrynnRpBzjUXC+6Z12tfDqOMaLRYlVae2O6AIff83nNr5j0DR8EN39vqsM3fL4UW6OdY95ZPmFb/vSaMVL/oBg/VuRLgBS6BOS9QPsKF8bNO2B+7bEb2xzqoERwnxL6D0zQh0eyKGonWG445nqWqwJPW4uPAZduRDjFNSm04srwPqA7wRgl/FH3rkN+Snwes5gNJBPj/lEhKnj+lVD/YABOX2yKTwpIldZS4grs6czrmq04+fSriGX3BS5vAx7/5jN819W2SPrPz/jsL57xcNrh+H7Pa00KLYawL4r9jxXdUZAXwX/Cf/71XyDJVaCvGPcz+lQw9gsO3YxX3Qm7yEV5Dh3mkWIOURRDyphywt/PEUWAMqS2AXnyWHrvdcWqzurWMu4T2SWipEBLhr3S365PrLqtgM+ApnjaAn5DnipaIFlTQD4kSKmI5bpKzqpnMQR7o44pQtGkywRgBxy4il3d0oNi0r6Kjd8aqDRBmYCWBAJMuDUFhGpJX6KIDYpRmf0lfn+FVSnxfpg1EWkJvlu0eFKaQcua6PLg9lmVFRhNYgJC1ZC62hCtrQm8b37rNdl/LLCvgwkWXQoFS4LRjpbCBDcX9maoJ0X1+sO84lTVqHBYqan+zBPnT+096LdNrldSHxIDIcwBNbAfa5cWnAI4txqNc4vkciOM5o87LQmqgkvp0IeCXVowgOqclyUhxoAyZtQQefi4CIkp9Do9KZ219fbxa3QNyCzgFbF5ocrxCbLOXwAIpEWqzeGGtjpKFjbjY3Oi9Z5vfGc96RS1QDEKIK42beJgboPjr/bZXBNXfeI+J1U27Iz15xrCVV8YPNmwvujt+uD8WT/XA3aiboZGZDUJwp8G5ypCgSenfAvgNkjsKfd+G/aNxSaIw2dSAbgSsQeoYbpWqm6odGEi14oHnoD7mvNXdnp6uE5y/bkBQLfO73afxakZaCJPeQSN2TtHUbVVZaPZumllcE61Y0toXti6aARCUgxdbusia2hJrghR4a7PqEr0JQOQzDlKITX+P6CoZrvTKr8K7rO+B1nShxS5D88V6BOqWyq5MNqSmcDOEaGLa+Lr/3XGje8Xs9HWdz33zvMMOZ7JlOldjtLmWegaBbVR3xfKWTb01s6JKwGwaSbVXwTY97x+S1ZqnyAprEUkYE3wfB0BfA4htEKlr0eNurIQvEA0zZwXtk5cu0FSRB17a2fg2SXzdcsAKn+3CoO2MrIXN57L1blZvZijm33Ea2RBjHXjcxRA8vVJHQOuY4rutLk/L1bYeoGm+hpQhY5980T3Neye6nmMWPbWcx43QWtfgaEiDtyTiXILSg48hgTX+8vmVQdFGArGccF9f8abdESUiiAVVQXzlFBOCbWr7PWPFfs9z9rLued3pG4tzCcBXHPkDyH4NvcD6hWjICy1terIoUPtrAXA5pJ7yNY+AAmN/SVLIc2+KmSgA4IOERUR2smqYBpNiGopK5W1KBSxeQ1LBWIujd0lRZFOTI7LsMMWtazgs1ARdM+kZHsCGBalBV0Q4JCM4YFGry6urmz9qyLa+ny5TwSUIbSYIizVWFPc89zvlqr6BTLGJnro97bsec6mC+MVTYLQKSoMcHA03tDdaGyodHEHAvb2UyCS8UorTHoR1+wWVcFYaCnADVqCGXKF1mDrxpaRupjRCsqgKKK1ni23sQEiTQCwV2AoiKkgxWqEN4Eqba9qDVTCtSKZx1dtbiWO3yUn/MntJ/zL+2/wcdnj3378CpecMKaMPhj4lAVhKHj16ggAeHjao84RMVT8YnzCKff4/u4OdY7QJTQV+JCxos4BSMeM+OmE3bsdaooYHirGHyY7vzoWZqu0OeVnQme9wPmGLI0wC3Y/ZkCTnc0K1woow2bvUX7vcsd73n0PDE+cL/M94GALIowB5N+z7rMqjLMAbb3aISvGj0DpsKqfn4DhodiacQVs/skjla+3PbOu/Nw/EYVk3ysnIH9HW3Jak6DuMlDJRBSjhSOwX3f4aG4ZF3OACNzHnOGxZaI1xfGzIJ8jC5a6Kbgo0J2A8R1bPfLB4tHn1RLJbSi7oyJegJtvF0hWTK8GLHdrrAGV9gzzzvq1I6jLYz3KnJPcu+c7oJiS+/Au0pd+JMP3/uaM/+kXf4e/O77Fvy9fIi+RosVLgFuvdnNB/6DIeW0/+YdefzxduQEtAQBVlSsEX59fI0lFVirP9iHjy8MjDxDjGKS+YB4i8kExveLG3p04kfvn0gQJHLVrAlCGakitFBEBIMn7M8v14Y7UNkzJnGSsOhfo0KHsOyIzFRCpTKRLbVXX+DxBvRK/ZEgUYFk3LEepmtqpH2qF6pa1BiTkNbEw2oqYTZB4AGtBrGQGSq1XTYTBUktoDFmwsdC+YzCxOUxlykCkKrMGQTgRcdCxY69akCb25HS0hkyLIA+0zPANyClicQbibL27XUDz+F1YdAiGLnZHQZ3YM8sDSNvYeJ9wPBsqHSPUxQCHvsniEw1bgPOFQdNuaBV5T/AUgECN0sKe7WqquFtKDMDEV7uK4dUFn90dcZo7PJ+IZvz4fEApATcn0K8xG5pSNz1cxXYQpSpjb8nu8zwghopdWpBCxb6bEUQxlYinOGLpI+YpMFnMNDNXwYri/hzlz/+/+aqucwH2vNQ5Qg15tQDSkCtblA05lXntB5INCqoxQCzob4rWjsD4evPg1cZeAVPltGKKzZ8rOyJfH04Zdi6iz+NNG0ATo8kF0PwT+nL7nc34uHAPxBJ8HwtLJGQx1C04R4YBCdFPqm+WcVVQbslqZbKoIRrdqJJyaJT64IF/XefWVuG9Fcv8WqrC1G3aH6fR0lsU1/fZ1vl6u64w24pw5p26pU564J/vKrSvkL4i9lRGDuF6MTBZiXwm2dQ/7FUjoFPEx6c9Tn3GZDZkxdtQYkFvrawxVpQSMHUVNQfk0CFMgrCERueKkzYbqSu/a0/0tvfsxUS//Q1KixCgHZPycJzWcQTWxBNrfCeFYkN8HpUX7MmtzR9Hb6UqMC1rQipC3+IhNORdY1iTNqcm++/VivBw2jww78W1uTL018/YCzVjz2Latpi3KVC99PbVztHtYmcRkWco0XRNtv9FQR0iyt2IJsD3Ql052Lm56hqAwHFdbbTWwdxQSxtzwZ6La0P4WNi6llIBL8CKcP/evnwN+Hhs+3VdcFGkFY5cFGW+tz7FmwoZCy9hilQ5d7sbY1rUDsB+xzFdrud5PAnKHJFzxMdpj788/RKLkp48xIxhXFBVcHu44IvbJ6gKjkuPuUScTgM9PDvF9FqQLtRBCDNI7fUEpsJsngpcfKkm2288FilWsLc9O+SK7onXmQ/pipYfL8XQlbIW8q19xXvPtSYrZG+SncDAOvi4AyyeBUGcChkXizMmKoUL1YqAPe19uqf1XA6i6J84f7rnzLO8JkBYOGnK/boW9gEglIowcw3UnohzOJXVMhG4EtJr+2tWJO91zgRGlkOA1J7ovmmJ8AOw9jNrgIbuOjZSHltuveTFzqZ26/up9dX7Z/qfl5R3FbAH3vbrMK+IOAp7g0PA2ppVqzHQQEaRhDYXSi9Ybl8UZBREmgVX1py1BkyXDmW2thtHnOdCUS9/9KHiMBTcDxcclwH/j3f/FFEqvtg/IUDx/fkWD9OIUgIkKVJf8OXtE2OYpcO5Ch5OO/w/f/gNHo471A8DZDbGQmF/ajpSdCmdmBw9/PmI8OuB6ucdkHcB8+seUhTjB9cX6DGfiYbOd4BGqvpCyAhKR4Em4PRFhzwC/SfuX+cvgPMvI8Z3wO5dtf5gJpinryrqviKeE3bv14QWCow/kukQzzwrQ2FCt22p4tlF5DHvxOixinThXhIv/N3nr5Ilf3xueaSVWZyBukkQxQsVUfls98HiYyoKl2+soJOAx18nJuRWOFhuON+7h4DwbgAEmN4C+SzoTjxf68AiyHJXmRQbmwpKcKeMjGf6T0wiz79ZgCoYfmDPsxS0vmMpQFoUo43b8SvB9Fohn2gDFBdag+neRS0V6RjoJ5yA5aDmlMP7W25p7aRGQ6ddGvfx5UDUmmCUsUdvKtBXXJaEf/PxV5yTeSOiKMDlM8UnJMSJ4qp1etEL/wde/0XoysA2Lq/INeCb53sADIqCKL7YPeFP9x9xLh2+u7DkMgwLfbtuEqZXAd2RIgdxqugelisKsXjPKkBqk9OgCoVwQgqshBplrSFAIhCv/Juth5wnE/ww6mJRmtovQLjMwPlCcaRzB5lm1MuFn5MLsLDqLkYzc9sDDD03ukbDqatoifWVOaUozMXQXjDYDAIdqZAnUyEFuVToZYLEABn7NYneBFoAoKNTwkpDhmSaKRZ0N0JjQDg9Qd99QPjsDfL9DhoUMkR63AKbQJvPM4/SGs6hnNRlFNSJSW6rwlZFOhZaDm0Cn1grogjKoUPepfVAVjARLkqT9MvEwDP0RBl2lmxdcqNy1uOJSdjNnkGezYWGAqoCS2W8Pg48PLesV//qTiFDxa/ePOB/fPtbfDvd468+fY7T1OPh0x56Snh9rEApUEPh9CrJ5TipoVl9JA3oeeohokj7ij4U3HQTPhuPOOUOQyw4LR3eXRKKJIRZUM8MHp3C9bLA4ItpDcLBAK0UzhVPSA3Z1A0CSPp+MlXpgDATKZfZigUAxFXBR1MBCAHaWzB/mSFBWjDN5Hj5aYBuCakAluRi7aXy+e8BrDC5vGIswAJ1Q7F0pNeSi35dJf2OnvVdo7Q6LdnZCqhEaZ3S25C/avcX0ZCv2keUHYXJ5hvOlebFaEwFYIOCzLLawuga5Pu9eI+ci6TJZWkJLqnFth9tkyR/LRQNcsVwD/YbaqjrvQpCQ8O1CyhWQPK+s6a+eD9jt5/ZT+sBkYqhsID3fyElBtc5Q+s2yFTgEjDlEcsuN/Q2mY3QzTBhiBm7bmno7rKnuvincEA5J9SjtCQ3Xaop8b4o6HiivZ33TtG3JK79bDue8wJ5OjFB3o+kNlty1Iod1dXRARWzaLI9thUPYUmjrLRh5MyCZt8Bt3vSnOcMNaqt02nFKcXCxFnOE/R05nwfh7Vo4yJiu8H25eVqfWifUIfEFpuH4/W8b3N8M2aepOcCnWe2VAir/W6N5VYuZaCISTUPVG/1UAH6p4L+mKHJlFxFEDz5nQoZGSE0WiWsmLu1C7oqgKmyQDl06zmkCj2eWeB5fU/hOm9VcJVlgCJbta5rQ4TFDC/oqSUmxn6ZXynKviLeLuj6jOnYQy+BfW5GMxQr6pROUPcjz5nzBbqp/KdnQZkC8hLx6bTDX8fPWKRMM266CXe7C4Io/vzNO/xPr/8WH/IB/+vjL/Ew7/C+3gBLQB0VU6rAR1phpGmltbYixVIR64LaRSx39H8NpaxtDlboLQdja00F/Sljue0xv+LZ2T+SZunilmuMwaQQRdlOUgqQO0iXIEs0ob1ACmsf1uJLS+yIhjrbR0XsmmgJVLtoQoIF8cwkrfaRVjfHFQSQ2QQDfY93pd+qzVfXBSLjcSZT7vWIGgVdXotWXJNxtewy4Sun/0pOCEuEBsWyF+QhrfvZBr4sPQV4aifIO1o1ppN5F7s6eEYLntXmi1OkXWPAk1/+cC1qYvt1ARSBMyZIXGpjY4iJ1Km1kWmMcJFR7SLywDg2KIBqiZDZRsXJvsMTbKCJAKZQMeWEWgSY2CNKBhQsyV3385AqbocJX+wf8TcPn+Hb715jd3vBv/qnf4/7eMb353+O58tgSW7FOCz4i9sf0UnBD8cbzHPE6XnA8d0eco4YPgTriwXcxzxeYBZ6jB0f/hwoe6D/IOifgGWv0BDRP1fsf/sAOV0Q5jeYXvd4/iri/Asit/We1x1+36M78Tkev2TiOb5X1F7w6V8uOHx+wuVf3+PutxWx95KoAJ9P+OLtEz798HkbOwIzLLZKQdNHkYxmQ+M9tt2jojsp8o7Jd7yoJdIKKcGsfgKOvxJ0j8D+B9p24VVi0ml2Zv557WxOjKGXfUCaFP0jixxpoo3S858E2gdFpXBfVNRbFsv333a4+abi6U8Cnv9pRnqOGN8zAS+jQofCuR4r9Jiw/zohFPOi7RTpSAT49CXwF3/+Haac8MP3X2L4xPVaxrUYlc7A/V+fEM4Zl7f3yK8z0rFD/0zQb9mHtSWqV8gjE9cyWqEiwOzUKvI+MMnOq0L8/tuK/qkyoX+F5nRSOyDeLuiHBfOc8Hc/vkE11pmqtKLl/FnB8loQnwOGjxZL/yNef3SSK4tAjgmTCupNwNBRit+TgVfdjH2a8avdJ/z5+AMeyg5ZIz5Jxb5fUErAOQytIb1GIJgYkQquEwBDaVavVAa47dD1Xh4/RDeoCYVncF3Vy7UpCV+JGGyDeRHIfmfBxDZ7gqELyQK29WBuL0Nr1HoECdtvKvz+uxacN3TGqamOdPjLaX6bAHHruXmlRmtIXFN3HoaV5mrX3rwITVSCE9O8BxNMdAWN4lOjsPcIglBqoxlpCmTDbRMPQxjFg9urccMa6DQksrYqliy5JVeSEhBiK2awdwsc162FEeTqcOI8QetvQRboFPDpPOL3l1f4MB1wmnrM2QNt/8OAWEQgsj7vUABZAsoSMMeEc9cx+Ddxnvv+jNf9GUPI2MUZZ2s4GeKAp/2ICUA5uyG40bZqRRCheJkHtTYfvDLrlPDtnHJE9mqebn4eptzmWRM283m2TbQ27xWfVyJNybfNJX/v9k9LdKOh/pug3GnHQENYt2JNP3n5/HB074UQ0c++ttcC8F5DgHr0YUmRWqDWKH+JY39tzWC9oxGoMbS9iFV/QfBCRPF/s2vzar8HtF408sR0+3xUVyq1V48teb96vv5+L2oZmoUXW08bBsUqqlIBLQE5Rx4Okb2EOUdoFeQ5QqdIVLWNOVkG/gqTAHOAqqJKwkmAmAoOuxkiLOTsE9kKQRRzSTjnDlNMeO5GLHntm2w0JYHtvf4lwFZQqd3Ltl+2rkEzAJtrxXqVN/8Wld6sW4T45cs/p1GBr1kB7X2WNCJG2vtYwialXlH8t0wLNaq5v68VPf37NnO69Z4DbY5v9SNQ9Xp9btft9r5EaD3VJRZHvYhraJEnptz/xFp/1n0xlwCpTJi9IFhcdCrbPA5YKealAiag8pNx2DCYnD6uXeL8HwdLfkK7Hnk59pvxbIVc/7HZz9REpMRVzsMsKGcWabUIEHRlNcD+rYgJJhkS74yK7bSYA5ZLwiVVnJYeXSzNOkgADF3G6/6Mr7qPGMKCH8cbpFDx/f4WpyrQY0KaAsRyZxWelRJAOrg6gs8PDAuFqLgXYqVTB1j8gJbYOTvEnQ3ILkMbc6KCygdYK3RJXGqlAmUGtAN2XRuT1p6iWyE9j5VkpaJna7XYnNm1871oO3h2ax3Pz9qnVhgMMxk+TVhoE8NpZ1R2i+3UgQIRtpKYbkgsSgDCWVm+ZS7a9mveAJrK8rJ39w22cARLaBCEtjiqhuICTRhsc1Ne1BfVta/V9taGvDsybUMPa9kIAWvRs51NuFq37XOtgFSs8BBmA2rMemZl5oDFees1L5XKzqUGTDlSGdzaQ1pM/OI1PYz45qbHaenw/vEAvURMfYenPKITtlndjBOWji0p+2HGu+kGAFpsJNaSiCW0pNstImsS1Fv+PV7Q+mz9+Ts7ym2Wyt0IGbpGAw+ZBScpwHyw8Sv8dxcMFaPNSlV07xNO+QY3R7S2tGVPJLfOEY+nsYk3deeKNNk+mDjXlx4tsYsXziunWZfRWiF6ItBhhvWaM2kjBVcRz7ze6VWE1Ij5YIJPANLRikEWW8QLECdZ78dsNVexMW/vsQXWkd0lZ/buagLmG6oUu+XlchsgGRSNKkIQLUfEya4foLe59dRyzwS+e7zFskQisxcmyaXncypW5Mz7hCTWDnCMCIvNxRAwvSJDYrlR6FCNjcHLjrO0PnMAZh2kkE7JlBU0Gv51gQhAUguZBCkxnp7mhOk8cP50XIQ6B8D6wWtE68n+z73+6CS3ewbGv+dhf/k84oMoUloV2f7J4QP+Yv89/uX4Nf77/gnfFeB/Dv8V3g23mGvEu3SD36UDK0NqnO4IdI+BVQ0TctEA1N6piFTaZKLG4ECOl/WiQoCOHTdgS7QY8Je1By0QOYquaNynTfDicmBExvDZa1QRXHmGWoJbb4b10AEQ5wxMgFfysCkByqbXsH2HBUrq4lA9AxfksiaHXkkvpaG0Lck9Xdbq+Oa6iFBkxKWQEvfqFuiIGmBTpRclejW/Sji/jma3I43C4L0FPjGX/UrpiBd+b95HBNsAG01VeOC6zQov1ha1ih2OvSVAtrBdlfr5BD2diZLcHPhcjPqmhx0gHaQWSFk4fh2pl7WjbVBTc7PGfI3sTcAl4UO4x//7MqDkgDyvm7j2FaVLkKFvz2V70Mcz0D0LltBhXgIeqqAfMr64e8JtN+Ff3n2DP+k/4FU84Tac8anu8dfDL/Ex7xFDxcfLDt/LPWbtAQmYPwZ0kVVqLCC67RZSjeZKlWEpm6TU+zzdX9VYCZ5YkoFgLIFtcG+ok+5H/n3JRpWrq6r3CzokRUwify9acu3CU/Z+BWj3BGz6vEOjrHlQ3JCfFtAKpEXY1p+eIiDJxIO4VjRnC9DSmvB7IuFB8TYZqEbntf7bfOgaTRAiyLuAZW/2DrbXrEqB0g5kr04zsgZkqgiu7jstnK8pXPc3b1FstwTaqN5aE1orUKgxNKQY/bTqOhbj0PpUWcCSnwRlTf3TDsmQgXyJWABkE5zKS4SeEpP1C8UkaK9WgBDJFAnradE9MugtvQASoCEh7yvyVxmDZNwPZ3w2HPGmO+KL7hFPZcTvp9d4zgyknmPF5SZRARFmIJ85JlTkRQv8rpJYH6t5IcpsNOJW7LnMwLJw33NKuhXC9DIBOUN2O6Km2+KIK9VbT29j3QArCmmJqHaJRQf/vsuqdyAA37vZE9zSS2pnTB5jJYiwJ9ipz9abtz1XWmE2WHuN96B7+4mxhTRFqF2vJx/ew6y7HuWW1kMukgbzjnSPwtoJ5jvrZTXF0eUQEO4D4mJ9YhUtidxVRXoyhWZ7TsHs7bSLRtuXdR3vemgUhMczEe3dgHq3475utkht3UeBpnSVEMPWlCc5bXxAhMxFBOdbrtnuCdCzYFk6jsOBtGX/GpjWgsyBQkSO0teyFhHBhCY9CcrS45IDPnXZckyFiOJunHA3XPDPDt/h/7j7Gh9qwigL3uVbVBX8cLjF17/7DL3R+QAGcTlxtpResNwler6eSCHtnmgqWftEZBWAVqOZG00Xnq9nRffE94Vp08IBJp3VUEDuA4oEQKaE8PAMfXiE3N1CX+1XzRAFmiieVZs00n+2RvfcFl7rlCEtOzYBqUHYenAumw1TaN04JuRDQj5EhFnRzyZulUmRdgcATYLc9+t158qYoIvQLqKMaUWHc0Xd9y1O0Y77cHeici8LN6YTMlP45/RFQBkMxer9nknhDDMDcXr9epFB1oBbYV7caDofVLG2drm5rDZmuULM2qx2FAQrNTTGgVQFZo4Pz5f1/K59h7JPKH3AcsviVJwCwrygP1aM7ylgdHmrKCMQbhYMuwVbHZBSyECIDwnxZFaNxtRowI69Dn/TIT8O+H68hVRBqkDWHn/79BaP44g3wxGfj88IYNHy47zDf3j/C8w5YZ65YfRDRtxXHOsOolRKppYIcP6CtNZ4EfQPaImrnB3FR2tDVAGe/sme7VrFktaT4ub3MHprhHYm/DUzE3Th0v65ImRg/86S5a5g2QXMd4LTl7QACk8Jl+MBt0987uOPE7q//HtI3+HyX3+J+T7h8ibi8lbRPwgO31XUKJjesCiy3BJxZW85z8r+YUY4zZje3COPbE3onyqWg+Dhz4M5dnDO3PxecPt1xnwb8Pwrru/9d/SfXvZETcMKspPmPMBEnQTLQVF2gGTB+GPgeb4D5j8D8r4CqaLuSCWmwrVCLhH9p4DhIxPG5QaQBOy+V3TPaEr0w0fB5S/vIQuvaXisOL8NWG482WaSf/yyR5pIs9//fUA6A8suIO+Bh78Aym1GuFmwGxdcpkOzruoeba2ZbWjZAflNBkygL0yC4b20dkcVZWvUnloNqIK8JLy9e8Cf3X3AX374BZZvDpwrn01IXcb0nEizdtT8H8dW/uOT3LAAwQ7PsAhqYc+ES77v4oxX8YRX4Yy7MOKoJ9zGC051QB8KYqhwmfn1z6bvTCsE1pwd5DrIEGFl2HuA8CJwEgHTfguutklj22gLVBVwZcftz+pGYQ/AVf/cC5RppeTq9Wazra45AuRojn/Xywqc//sWua6bf98iYg1xNmpmS3YFzY8uBKATuDKriolZbDyEGRBx03Z5+CC85+oVUas+tf8Gp0taWdaG2w9Vu8Drw2R7jy/7mLfjGlwoyPqNXUH6514v/r2hW2Se2rP0QJCiIloEOpsSQdIVhfNnEwK2DyZUtI2vpMAk2VCJIBWdFNzGM27DGb+Iz+il4FN3QJSKm27CaekpAhEAtxOqNvar+uJ67wgCt+bhv4X12rb3/BIl3M5P3fzOdqxevtdRJH95EC5yTf3evv9Fhbr97MUaAmydbtWRXz4vR7k2yU+zdXh5rS9RrfYla6KpEGNGyDrPA9fZGvyjzXMv4jSaURDrqxI0ixx7TvLiO2V7bT93TS/vVxXuxegMjp9DNdu4/dxn+lxW+zy1anAxsYqFHphQQJdAtk2WNn+lbj5PZLNWSe3SmYdQqzYvglpJeU5S0YeM23jBm/SMISyYNKEPO9wOE5YccU7WQ7xBA/+zLy9gxLjO8e0YKnuwnW6/jsXmzz+E/ANovbk/u99YUcbbXvyzt9fyku3T5muARLYINOHAF8/8J+Jivh62hU8AThuV7fe42FPB9Rrw/R64bnsAWmGHego23+2ZwBgvCEo6fl3XQTt7276phoZy0qqj/huK64o8X7carLZ+f+h5XD+vxtz6mTXuvZQhG1JRwMJzFiK3ah9QYf7NLFK1Qt5LNpGC/XxZURbBNHUIJtIWQkUX2XpyH884SMAiGW/TMwoCbrsJT2lkgR2AF291c+656rIjfuqMs22C5WNtaKXHEL5XeXLozhDykom2KShzfnF+q7OeBOsRZvGDI8Dts9uHYRUHLNpEz1y4skZBiLruO9vP3zzf5s1rCR/K+vsq0ixW/Jn6Nf3sPrHZ81tirIYM4TpmrJEepKUn9ZW96n4dMMcH5X3kddzavn61n/K6mr/8Np5xbQBwPpKFtbleH9fN3yXourcEaedNu00xbQxLCKWsP9cSSCUWJcmqMMauS0AqQkufNk/4PduhDL6fJ84B94d+ngfs04y3wwmHNGEIGfswI0jF3+EN3AWlqtjHKq752mjPoHY808qwGZcqrffZgRKNgvnGQKxnRZo451vP6ySoJi50Zd1kcyVkFllCUSw3iZ8loMWSAOFCAEWKoaZeNAsEP5YdnTbULcg6aYg5kUGLYTd/1gLFevu+t+adruPqv1M3v6tM+tKkyI4SJyLFGsW+0/dvjhls3FykDmLxt7EG1sG4Xkd+pquhok0PxWPhAvYcZ1Lq3c/b51r12Khbw05Hz1usmgh2uG+yx1PYrB8yR21NFCFA46yOaIKwzq7031NQrV7RWqDqNnytQMkRYQ6Is7T4R/+3SnK7k0J7oJquRM2kefapYEwZ+zhjlAUFgmedsChwG844xgGXkvA0DUCqmF4rjaFnPhQaEXfojhnh2Spol1Xkgk/BAgw/yErFVlmWoiObgMZeuhso8jRnilCVSuVN/2yjW6HQBqSJ/vjPPQmYF4RntL/DkmXtO+iuRzabhrUnZSMYgc0CCvydUDOv2ZC5erdv3yuqVBzdse9JzjMaNazvrpHrUtp/per6s3bIWs/WEHB5HbHsV5pvGYD5FeXWu8eAOAGXzyvil2ecPw54879Ea1gnYhBmE57y26qKcFla36yrVbcq/Sbwb/cft9sygPsb4LAjimF0qLbyDD3jBatRUoP1oFZ0VRE7UlI1BBp3d+smEC6sgmMJCKfVKzVmQZosCI6RNh+b4DNeFHoEUJk0ZAWmOeJdf8A0Jjzc7nCqA36VPuLPuopJn/BFfMaPdY//ePwlcg2oc0SyqnIznH+JZqmy31qt988D7fSCCuk9i97bCmDbv8oxu6adoWqzrGlrBtiINW0+s1Ygbii33hO8s2KJ0YER2A+uItCdewJcByXtvrxQs2kzuEqWHQlujIoAREPmiiUDXTLEd5Pw+2Py35EOurOxsiDGA9E8GLLVseLPg4cbdliENB87pD0A5oHn/WmmoCvrPtPW1VWAvx6w8EKc7SMtoa8V4lTbVpDTNt4CXD17782VUs1/j8bpThWDAukpoE5CQbdg/nwLD850Mln/XCE9qZSaC3RTEh0+Ki2iO7Pe2nGMLue+Par7dMaf9B/wL4e/R4Qi7BRP2uH/Ev97/PXuc/y/HvYQTeuhDwYctSpbGpyx4fdqFGTtO2A/rui1autvQwwQYyGoz9fKYFy8+NkRAYZuvtiTRvtMyWUVRLJ55DZNXANlfR6O7nYblo9IS2S5jhRI3Ku9J5xzmcJX7XNiRN1zXcbjzPW7ZIQXVkWoyrll96l9h7Lv2St5mojuDv16vY6GOTsgMJhadoLpntTx+Z5znMEFUZd0EoTMJDhkIiphYaA6vR1Xyz4XU9uqcFvPswZh0cHXcoyQJSN+PHL+92RR0OYvNnGktp59PM0iyQUFq+35YcoIEzACSBdaxZxiAAYPmhXpOUA+hXb+kFJqIpZPROO1Vo5v2ey1Cos1mN0tyx46VHSvLtiNFb8+fMQ/O3yPX3fvAQCjAP+0e4fbcMb/J/wGFYK4z7h8ntA9CeKZQfr4aaU35tFQh46Ms7KjVV/tyTpCEhTQhqZ74nnudknBbIJqH7Dc8ll3T5ljMhdTMAatqwAqascOMo8Ir+6he+pxqIidz0oxsqFDvBSkh4lI5XFBiAHFOJthrgjTwjluonOtdSNvEnGb5+lphlwyQu4Rcsc4ZsosFJXa9uCWzLrThMUMtQvQ0CMsBd2HE9HwuxHahaaF0IpJ4kE0sNwIloPY/sa+wOkVFVrLTQWGwudd2HutEptwUDXhnpcJuxdX0zkjnrKBALzesqNSdB2o55BOBeP3jBldrd91SSTXNtd7GysKHo4meKWQDXVeg31+pC5Enck8CxmoUw8NPZb7Ctwu0DlAzhEhSysexbkiPJ0Yt4wd4z975R2wvKqoNwXxKaL/wLjouw93eLoM+OpXf4t/sf8Gv+7e4zfpI36XXyOK4ofLDf79d19iOUeKCi4JmOh9WpOp8Vb+PWRB7RSXz10RmeuBvaxM0qa7gLwXPP9GUTvF/V8J+m+qJVoVcSaoUM3Fw9E6NVpq8cJCDVCbF92pogyRgp5FsftekE6KvAOe/jTi+MuI9Od/gTIKHv+cYyATlYqnzxSXz9fNQCowvqOQUhnNrSAA09sBaZ8Q54rde8XjrxOef1OZyAUWDG5/Lxg+VfbXfhUBBYYPJhx1VkOleS/zvWB6nVrRjmuX3xUWoH9g4r7cqj1bQffMeZklIEwBux/47M+/BPK+YPpMMd9b4TIyzjqXiPle0B1JoYZYD6/RpeNcMX4SpEmw7AWXt7ZXJS40L4xKFStiKIZ3AfVJML8OOB0SwiLITtbpAFQrHMaA/kHx6t9ZDGB7Rt4z9preKpbXBVIE8ZHVVTUf4B+nV3j/4YaJ89sJmgP0wwBMgv07oXiVFTvL9NOiy8+9/osguc7qA1h5UushiKEaDYILetJqVmEFvWRkjcglAJGS4JQiZyXAJ3Xy5uKK1n/a1Ptakihrv1U2r84UcTUEmyTV6TH0vTXapgf4LnCzCb6azYMF9bwelloaZc5ENuTmAEQmldUEFMLMgCcAa/X3JcrjFURTaXUKtQpWerbRtwKA8GT9T0NP6pqJmLAYYGUgU2X0wMETG1a/2Ei/2MQLVkWkT66SJ380yft9xZ++fcDX5TWoOmtUA+Pxy3w9JzxRl2gQcNSfIoLAWmXeVu1FSOXqU+tfuRoveykssAorNTaUak3qZADQs1CuDjIpAmSBLHJVFZLsPYTen3SN5HpfQ4ysQtUpoAZgyRFTTphqwqwJnRTchx2KVuxlRl+e0YfMglWRtUpp1/OzL08ACgstFOe6nvNX1j8+Nk51dW9P1ZXT4X3eWxVXT6C31h2WYKmjlJZcqfW8tue29fuy361bu5wtSvASYdsicX69fk3bdbFd457MbwRqfvKZm/e7uXlDCHzZJjF1QKv42xTVaKwHV2b1zT55ldUTX7H7l03Q/+I+t9dm1O2rZN9f3mtb13m3tXZioSCs1jMVgFjvZUMZmOyFzEPOrQKIosomOJVmKyBqz7UUMKNdg6I0KXBiQrRAIB3nvuaAnKk+20nBbTjjTcgYRfA67HDWGf96eI/nMiB13qxvw6F6lYhdjdd23u0G1DFZMfDF/N4ilx70ekIJANHm0ZYB8XKO+NzOpmwPE4nqDWWpWEWl/P1pPSta8Li1LFNttOXtc23CeJ68ptDabcJFqGbsNkrhxVxXW5cIjZFQEWh1kgvQ61pEaonENSJG+xMTDdwpk9yBxUvA+r0CIDtAF0E6gzoHkarjomhiavi5vWZT2Lla3nZPEhhMC6ier9H23ZdiWpvnJMXEoxydXkjpjua7SuqiQJO0rSdMvPb1GaMFQXHivnXF4Nq8pALIpLOKsldZ77gXvepObD8J5CJ3IngVMqqeEEXJakgF066izFRrd6vDeKlUbhdHzAG13k2p2hg87t2NeU2KcNtTBduHWahOCwDxEnieLWsiypgiWLLImEH6zgo+67z37y0j0e/WV+1oTe/2Yvb80otxUm19wgiGoqsVzKYZIQUEizFW5W37bL9P4CoOaPZIURCWwjYbE04sY0C8VIqPvnwJg3Dfx0NHumkdOMdll5GGjFoDarY+3QuF+8qTrDRa661tya6dF7JYS0qM0JGFq9px3rmVVZyExSqAFo+BvbXItbWliSqF2lLA0sfVQ3eu7TxwhmI1WrOja8FqQelke10KyEMA5oB4cmq0DUcGBcwGACVdMcBqB+igCPsMPZmf+SxYTgnnQMusV/GIr9ID/lk3YpT3+LPdjwhQ/K/ySyAHaFWUYm1TYkl5j5UpVy0m2rPIHha5alPTiEYjz68zpC8o/Wj3urpMjIH7ROnQqPvq4Vzw3MDPX6xopAIoguGBwkbPX8WmUj29JeLa/+kRt/sLfvzhDpo71LEi3CxErM8RsrDPtX9SzMq5pYHtk5BIa6mlkib7+QytAjklyCLoHxW7HzNOX3SYXrP/u38wV4GNuKiPW96TjdAd0ZBU9rNyL6odsOzI+osTC9OaBHXh37tnJuVnBWPrrkL3NocrCzv5UG1PEnTP9h2JWkmAjfvF1KkDzwPxNeDIcdj8HWxRrJnnQ04m5GUJeu29MCGoMz2G40Nt+3RNwPON0B5qp1TGv0TEKcBbGRifR9RLgO4qxlcXLCFCLj26Z0H3pOie1bysFXn5mb3hZ15/dJJbe6ybzQykdx3KLuKpo/fWx7zHU9nhQ7jBQT5h0YB9mHAbLkitlGEiEYv5QE2s0vgEqe4RawG6WADbUFsPFIqiWXbwF5vJ/BUlOFeq/Bry1frqtq8XiC4qq8xtA1FfgfbrjjIMPb9PlYezcHMEBLDetEZdAa6CFXl5GKtCsAl8p4WqexWmSOsPoSKcZoTz0vp6UaVV4L3f1z3waPdDpHV4ZAW/9lzQNQIQhQZF3rusu+L9cQ8tgssb9ozEM6uOKoHeeIAF14Jyv+Nt5Nqof/LisPJ7ItqL9fcNsVYLCPzQWEVN7Hm6UJe/D+BqCwIdI/KOh1s6c4H5pkUEI7GH5JFvKwPgFSdHiTAv2FpOUDgELVjn5wXMc0IIiqdlxEMhmjvphItmfF8qfix7AEAfCxdxtc07rNOHTKAXQSSwBsgxXqOXpfL6WtC9CbBFmnrsVTD5MmlsiKFe0yVFgHFAs0ApXCPiSbb3jm5EqrwIJN4LC8DVWOXlRnSF7DK6uAo9/TMrP1MHU5PeoHQyzVf3o1uxHptb7iUbp2q9crH5ybXc3DZoTd6WwM0aInz0/nwqD9Qw1dVn0q91ez+23/jPtr1R22fhFCAi6ZaYhbiOtzM0HGkUsQPH5r0FmO7pCA0ogyImIF3EFHXJrpFMCjIqWiGric6o0kJow/vxoKJRW30rqqQsB6nYBwZ3LKQqPtYznqriYz7gw7xHniP6hYlGS26BlYrqQa8MDAaPZ17HkiET92odTan3+cS+7HEEOgEkrD3r1s/pjAWpYWUOOto7LRAsK8sBYG8vwM8VWcWQtki8P8dSyZqJayLrc5r0w3D1rJtAUMDaamF93J2vBVfV9vnyInnkZmM6D0WRPl1aQiBW1PTvr7t0Nc9WWi+DUhfT4e8r0FXUnSCjMoC6vEz8zOvUCqvbNhw5TQjPF6Jbfv7UClfab/69bd/iuIZLBs6GWHvhuBWobc9u/fWGBLbnQCSQvakB3TOIjFS5UjL1Nco3YVXS7TqqZjuCbC/XlQCA+ZYFrzpSXXY/zPhF/4Rfpk94Ey/Yhx4XXddJHzKGmFFyRHymT2lTbVVFKBXDhwXDR46LLIZQ9yzSpLPZ/XgBzBPBKIjn3CyDpCokBaTexsCs+hAFdWeoqdvv7DrULqLse5R9b5RKItzeSxpKomBNClhej1agtoTLkGONAfmzm804VaJyC59PPqS2R0CBfDsg9CwEaWK0fqXDYM+6ndWFAX86s5BFdDmi7BLwi7s2l4l26krdViYGceaeSZR3pUE27+SkwDlhuUSEQ8bh9oJL6lGPkaiUeZqmRZmIWdLm579URRlT85vOu7j+jjDmiWZtmV/tOK7nheeCxzRmTdncJMD3rv2/XOMtwU1rgTNNvJd4ISPD127/UZCOfaM0t/Xq9cSbnbGGbI/0nysQnwLqMkAyWXplUMRdQUoV/993f4q/evwF/se3v8Xl7l/j6+Ur/NXxl/j+cot56oAiCLuMw80Fp37Ech6o6/C00mqlAukoCJ+S9YoC852dWbIWncICDN8m1JRQe9rmhKJX9+Pr1+nJ3VGQjorde/ZEz/cJ5Sa0BLL0QN5xkKZXwYQl14JuOpKVdC43+DAckIrpbswRegwQtT2yAvNrxfza5kEWSG8I9OhjqYhnYPcfR9QBmF9VICimVwEqHfIOrRVpvrX+Ww2kLF8Uux/WW6yd4vw5C5HjB8XwQErzcpCm0qyJvrzdM+dL6Rk7Xt4yjql9JSV4CpBZoJ1Cd4XtdwhGIefvlx70rq/A5W1AGfrmuSuFSSnAeCEYZTwsdi931+fLVvFbA+/ZmQfDR8XwUHF5FXD+VUA6Kw7fV8RZMX4Q5LOY4F9vRQQmx90ziwzza2Wfbg6Yvz60Qk4+KM5RaNl2ZhGhTJu49x94/dFJbhms36dns3Y6AnkfMd3SWoXB/x5jWDDKgk4yRllwG87oI71GUYlwxYXwfpzMmsY3uhSAHNZgIIMUNUMmG6VFhAnulloWI9Ssabz3IjxfIBcTcDIqmtqhssq9GxqWCwA7oB3R3aoYAwyATCjGRW+kKOKJSWdJnfX1yaZ6Gdo1cfIIHIFZB1eJ/Low07yQJtYl6N6o0NPCIGrJDCD2I8q+5+e5wm2iqIRuBIzEDrX+gYJKlzcR8y2MKw9AgLKnOisCcDoO0Bwwva1YZkH/IGavAnTnlTqjIsiHhNoFpLN54E0F4SVCAv+rsM/LvQwBwAQn4lQopFSsyqtKOiMAjcno2ZuD3p9FYFO/BkE8K/MHU4hOJ0CeKRYyfmC1bLoPJrSlTBiLfe/GQkiDHbwVRqmxZHeKmEXxlAc8lxGPdcRFj3iqBd+VG/yY71A1oKeB4hWKe9U/vklyW7HDaJGa4lXCI1Why0Jxm6Ff577RNtUEc8TZB5uft4QDWJNkn8tuZ7UboDFCLhOkzGtyEGw9lLomYW6NEgPXUlQGurCCkD/TF4h8Q+qA5k3aknpV6LwQkfBEthMgURBILUlZFW2H60TfA0StUEe69nHT27I+09pZ/6hYQcey4LpYBV380FPaQyz1GqXGpkAhGyqrF8+26HQrYlWKr0Wb920uC5At6ekS9z1d54J2lhB7fjAXo/1FdL0hc/YdlzeC+Z7U+O7If6vRmBd1vR4tFVquizlr1RxYAzMORicV+zAhSsWsAQWKSRWfao93yw0e5x0VnGdsegz9/doQLJj4nCwF8kwGThM861LbszHN0POZKuu+BiJ9UeEWc47yq6kjizS7MdKCFwq1pUglZn8W2fzLJ0OwgieXoX0XBa8y18TebXCMxiu06OEcvZ4TPhfECqSyVGCi8FATqQoMSFuivkl2SZWMCNMCeTzy83YDtF8LOpoC8mjo8GLFxKoNCQoZm95EYT/VUFjsDwGuJH912RlEmpa6Ohb4mj2e+SxublA/u+e/nSa0tgcTPVS3OfP3bcXx/PlsE2Ev4nix+VL4/0PHRA3g+psr+mNFvQDdiWO+FW9p6JF44qsr1Xyar5PcDEQbq+UgqKMCY8V+WHDXT/iie8BX8QlvAjAI7+fJmk+HkDHGBbUIumNo7SfVvLRlqUiPE8LxzPv09pe3O6IrlwXh8UzUcuh4rx2FpOJxaj732kWI2xyKtAKK65WEKSM8nrjfRUEQwXLbIx/iOg+Waol24TM1z+35nglv95xX5eC5oA4Ry10PVPtZqSykAcg3HZYbE6ysfL7LbYLsI1x1XswZAyrXhWk/d4oysbkskKmgJno55zEyoVSj3y61rQNXrhexfRgVobCHtaF8CdBOOcePEbII6q7gs5sjPojiqRtQlzXJDQVI52oolKxJblH2b3Ysii47ggNx5nxKR/oe1yiY7zrEqWJ4OPNcsrlcb0f6wmZF/6BXLWpcF2g4jCugu39yvBB8SGdlzGK98uMHpUJ0WBPuapIioop6sH5B1TXOA+w5CnCksNHyqgB9xX6cEYLim+9fQaeI09Ljs/SM75c7/Pb5DR4uI/2nF0HXZ3x194gfY8GHpw56CUhHe55WYEonwe4di7fTK0G1NhdXGO6OXHP7b7nO51fA6VeGxGYmSOnEhDhOtCOSDKSsGJ4Uw/dkVFw+u8V0L+hOgu5IZLXsKyDAfMdnViM/Jx2Bw/dcs+PHgNIzSVpuLOmeV0ZIjcDp1xn9mwumjyP6HyNEaSWUecQCIug/KW6/KTi/jvi0J5V3vmce5Mm8RtLEQybyCnCuDR/ZypCeJuS7AefPR5S9ov+t4vbvzphf9Tj9IpEuvdsmufaZIwW2preV9N7I5xvOAd2zoOwUy8GgbdPpKKMi723e2Y8ub5i47r5ncktxNhZ8gjENQzaV6NHErCqf41VbtqB9V7oQ5Bw/Fow/Tji/2eP0pWL4KLj9mh7fowjqs7R2meUWOH9VQHo3Ra7m10DcZ9T3A26+Zix//oUi7yuWOwUCkB4jdVX+t7IQCgt53lSj80UHaBHkHHAuHU61x7EOOGqPUkdUBHwqe8wlrmesVaDjbPSF7WC+RFlt0+MFBIqkmFCRYNcCTnHV2EyKbdj0A12ps25eq7Q+1qBjo4QMAJgKdFlYJfZ+ORc0UV0R5s21NzP43rzdZPN9tsG+TAIZIG8epCcrrl4LUIEagEpHWmuK9EcFnwkktoRWqgsuUFQhCCi3P0jrCdDERaNWFdWowCKoS4cwByKhy4b6uNmsXXgqFCYYDX2InoBh9Tj2qqf3bMEQWoC0PqPpSeDDUFM9bUmbje0WgSdtkOMRF7BvQoQ2jGegGlXTVeD82uOsLYm9KppsXunMTUWTI2K0U/LXKfd4P9/gx/4O3+R3OGmPT2WPpzri/bTHx8uOnnZWIQsLq8Lidi6O6pQKlI3qq88hC8LF0UwPFF1t1pHRLT0vXY/VTyNxrAUe/x2jSQvWtcBB2gSoW3plikRbN3Y97TtTgKK/puo2BBfX8327xkUgnmRsLWM27xe/d1fhXZWqrj/PEwIXoGoBMPebAEEF5+FWrfiq18HmdqOxJ1rsXPkC2/WJKrSawEvgZ5HiJyv6tUXUN9cIoKHVDZ3b3AuDIz4rFXCNmMBfXHRlB4ipiZ7XubZen/09Re4vfcck62hfZ4wa0nBX+hwWKnp+e77Df+y+xEWtv9QG6rGO+H66xYfLnr1wVlBkoK1rr5raPRXXKCAFXWRs+7GoQrOhiDGwfxiAe9y2OeHzYbsH27Pm3+2/WzGrGJpHsEeaWiskZ/6eJRN2e9fP1oNV64etY1rRXRO/YpuBXtObrXVG/PkGqpajMQ5wfRbVDQpW6nru+Fy2BBjVfZ39w+29tg83+47FCzcBNUZgDghGfVUrapDyzs+pXUAoLC5LXj8XfQdvpfE+fKLKtFziWfnTM7XZ7L0Yz/bXhoJ7sWtdHy6u5OJMYVZI5B7s165iaAzQ6PlNdOpl7GCv7qSQA1EnUSBcBFUink5MFr5f7vFjv0fFGRVHPFXF1/kOP5Rb/DDd4mHekd3QETGX6t9pcyBKczmAUyxtf9EuQvcDdFO4agVPL0YaBb6J59jPXPVXMvtedcfrraa74W4J7sO7qsgEhFzRPWezBAoMkBeybepAmnA1/23X3ZC6fr8nYy7G5HTThqAD2No0+trwtiaoIoBJo8YAjPTl7R5n1D4i720t2TjW3q+FFEXfg5sKteEPDcm/BGhvCbECugQ8nEdcpo5iZH6UWILo4qhiFkSegDciYKHPN4BmU9TiNS+iCFBuR8i+X8+DIAgT9zpvWatmh9TCOeU9aeWkdWuk5tIxWWzthUbFaplim4lGsfqVfaiz5rZ05V6RLPnKBwBDQRxKs/o8WZvOce7wH05foqjg8/EZhzTjNPU499Ri+PF4wNEsXVCBzhDGSYg8+nlKQbdtMs6z1enNotviMdhuYIlWsEKCC0P6a67A9AuyA5edMzhYfEln0rdJ7WWyFiKLGRDg8irYnub7pp3xatdo80ED497504DuY2Tfa0XbV1sIk6g2rIHouibSk1scbOh7OnEO5h2T0zhFxDmgf64Ev6yIXCNR38svhtbyoAs/sxZeV7FEc35TW+8qAMgkLPZYMqsA4ocEqYL+E2OAsjO0tJD67AVQpxpPdxHLAZje2Ly7YC0eidHMD6Q1p6NrHQjCElsLF2BzswPyGJBvWLgL1v873wbEgfZDNQmWWxY5ykA2BmwvrxFAJXC0bTP0hF4yhazECgn1H5m9/tFJbjoBYVx7wtx6BnNATgmf5h3eLaS/RFSc6oDfz69xzAOOy0AkFxyssADdYybF0CkcRm9pQb/qVeXYg28NRoGzIDE8noDTGVIr58SSgY8PDAJe3dFKBVgDyBd9QlfVNzus/LCWaYYeT8DNARhurw72pmgMwNWavTenjB4Q8fskV/ZxeKXSk3en9jgtztGhGKDVREwGe3QWLNbbDnVIiJfMKnEQ6NBBO1ZUo5nOuwBUWAq0BpS3gunWqb32HEVQe8H0pgJDRfyUMHzgIeGLwEUFoh9wAvYyV6Vxux1k2rGng1RLQHcUI/EeJFJ7EmoMKAM3pGBedJLVEA9AxxdTVWStQFuyXHYJZeT9dc80tOf9EG1uAkStEs176U48uOJl48MpchV4jh8KSqBReJg4DhrJQIcok1i8QQoFUSqKBly0w8d8wO8eXuPjhxukx2gbMa070kURp4IwE1HC0EHmTGEcDxg90ZOK5v9sVEdJFMXRzmx3Znvf1g/SE2dLfl96FqtRg5uia62QJdL2xNElF+DZUBCbt2EXgcFsesZuRT5LhY6pBTgUgeOcFpfj3BaDmmCQBc4xsBh1OsN77AEmJNAKSLwS2JJSWAi5EuQRIl+B85m2OGjBfDqth2mFNsEa9qxtDi4LKGpHlUsokZLoidg2kDZ/XEVsyRxyIZJzGK6T1qUYWwPX9w6gWUJsix3Z/IsDICIoqaPXIoB0IipBQThFdyJNORQmLyrg/fNmOWdCgKQEKQH4aNPlXBFQLUChb3acBeEcUGvC3/zwGX483uBvbz/D1zdvOPxgMfM/fvgCD887Bptx/bx4KcbKKK11IswV4ZnVeR0HPu+GeFcEQwhlGJiUAsCyQM8ZOs287v3OemYTE1RHHQP3SFHSvlffSq4f2Y2cW/PMOZ4zfVRjsO+LLbnUIGQNqVIQzoRxOKfYCxnPBfE0cy5sWTeZ+5sOHYtTFxMLHDr2Tl6WphrfKPfOGCpl1TqIcU3cRai/0EeEpaL7eCZb6KZvHs8u2MMzRqzAxzOyZEE8C9J5DeI0sCiYTgW1D8gHnjfxbCKHniwFoWaFKq3rYkC9N5uaTS/mT8QVxw4aBjJyXMTKn1VjdnDsnHnlrCvJFTqk5tXaPVsB14LEkGlf57EHlHtrmEkjbSi/i93Za/xQMO0phgIF+k8B5ayYZIdp1+PfvvkV7uOJzhDxhPflBv/6+Gt8Wvb4q0+f4+HEJLcY3S5kL/zyXNcUoLejIf+2X9szKbuEfOjQFIixnv0sLLDlKN/02Cq8aiLrKV1mhMcTdOyxvD0wMe04N9I5o/84sSXLit11tPlymhEvC3Q/YHk98sw7zpClIN/2mF6vQlNIQLEYwymK1XpfQxYmE1mRLgUysyUEcVX6pZZHx0LZYnEOAJ1J0y57stv6d0eE94+or+9Q/uSWW5/Z9eTDiOWGVlByLNDEfkDXSQgTY5b+uWI5BOR9aME+BJBLxKcPN9ApoDuZBgdglFaYpYsiniv7qQ0IqFEgXSTTzYpIHHuizE1ItDJoP/1qDw2MOdKJYp+euM+v+zWZtgSYQAgQTD/GxbmWux7zLdfw+Kmsz0KYjJACS3qvKijMJBZzu03mYtaK9ioHRfgEDJ8U02vgcH/B0C24G8n2ejqOqDHi8WmP/3v5M3x+c8T/+ct/g32Y8a/3v8YPlxv85btf4MPfv+J8NS2T/XcVu/cZj+gYE5mFncpaXF1ugLxxMeC6teNtIcW1fyKjzn+mQXD+jMmhJ5jLLRkKUGs7i0D4ARh/PEPjHqcPFAUbPii6s1pPL9/39Gf8nLBIK3401qEhzWxRAoaPAfJjwOEbxau/PiHvIh5/03OeWCKWd7QejJPi1d/wuqd7S+B69tymE7D/saJG4PGfBCy3ahTggN33AcOnZGsWqIPi9GXAcpfQPSn2P1YDaGC6IYLpleD0ZcXbP/+AOUc8PZAt1b9P6J4puLa8KUgPEfd/xaJBnCpCUTx/FZF3THB3P1phyuKa5UYwvQamVwr9Nc/i8thDFkF6IqA13yvqL2aUU8L+G17j8MB5Od8xWaUgmyXNrwQaE2piMiwVOH3BRNzbHE5fKMqXE3SOCM9MaF3ZOSxAfeyQTqsQFv2iK9ITRf4gHOcXBIk/+PrjkdyqQF6z6iZDr4BWwTl3eFpGUkygmDThKY94zj2elx7nuQOWVQyAH8r3t+Z8q2ySHimrH+c2ePHX5uDcvqTa5td4Ipvf2/psbj9n+9/2QWuwhBhXhKv6Qg2t0qIw9Cis/6WSMoyOY0FUBRCIAEkAmlrltge5NQiulbA2Vo6Ubq+9Bd9eGABEKlRfjBf4K14BB7QdBnGiXU6cGTA3VKauKK4jPa2yWXWlVYmi2Qu8VFAOwaTc2fviyJeKJR5WMQ7mZXuNfL9I1Brybc3wtpj4b35/m7nk1Tn/TGcgNA9l0sG0rBRY9jRZn1tmMUCyACbpP+eEc+7wYd7j950F/xrwMe8xLR2tXOwgcNpzu5dNrrd+4U+fE+dwXdGf7e/+3OtnEM110LzCLz/9fv1pMvzyuhyxbQraKbRqdVjqNaomNi9E6Qnsn+NFhJ9bdz93vQ3dvEY3foIEb38/OHrrVE4rnIn3zMAMze2gNiViJrtrMYQV7H9gTF7+vyep0aKQFJpqbGM8bPYNL3LR4mPzmZvPbnMY23+zv5S6Bpki1uqxWZeOptjYXD3f7XcUJsZqVgxwxNuTpBIw54jj0uPDcgAATCXhlHs8nwcsl4RoVVipsH7Al4UAbcn/1X3+HMrvc6S+mKRqiVIRoLf9z8XANgyPtsZejmekMBQtcay0L+Gnz3I7Rq4Oa+0fped/w/Lz79mKZPFeBNyM/sB3vGA2/OwatL1dnLVRbF0VJYVbYTT5zf5MIV7TFFhZOLA9nxQ1Xee5/7FroYiWjaO3z2yfZ5B1nxdZYwD/f0ckFw61mG8xgLXPvGCd1aoQrM+yfdSLBBowpkFViAqqoKFJbaz+wH7C/cDGZ9P7KCrQKnheBny7vMJFO1y0w6eyx7n0ZKZNPS6Xjn68FeueUvh41Z8zP5CMCWMIBKXKsSOyP3mFn0Fw/WVrWa0o0tqQgu9Rvq7c8mkTI9lnU6Nkk3TVusYuPkQvt97GhkGbG61FY1OcVx9z1xsxhNo1VGw4ADXU0pK/5mJh7IUm1GNjqXHDUmkXZfOhGjK12R5EOVbhIihC65GwyNpv6Fuus3f8MQSL2cyzOBpiDQXntxccNlGzmihVjUDsAgV4CjVK1FBxRw8V0u6pUZYjg3b4GPna385jOy9W1t86Bk7Nv9ovN+peTgW+ErzcvEKwfQNAKfT7XTRi0YgkBWPMPAusn9MfgttKeT9nWLCy+ezXvPjjPbbNqgnrubpdN6WTpjS83rMnl+s5LIXfXw6doZ9olHXvW42LImc+3yvR07rGhL5PhezxLtHkYAJ4taM6fROfVNBqJ3FcPZegzzTWP671YcgxvH4b7XMTi8BhYYzt3rkapBWiPR/aIpZ9yihVoDlQKMv0Xci+8r3Q9ogIlBb78P2lt6LOtO6TatOvLAGNfmzzU16sqyuRNpuXvFdt4GYZhN08Sa7ep8JEuEawrQAAiiA90wYL2BRDgjbhxMZeqKR+pzNMPwhEeP8Rrz8eyT1W1MEWifXnrpQMwY9PNzgvHZJ5zwVRJKmYSsI3375GeOiw+zFg9yP9svIhos4B/eOCMBfkmw75JiIskQJUuSI+XtZeP4AVLIAqhdO8Urx2YxMQ0S5B7u/aZiAX64/yXqxWLV+T1mZpMi/tgEAQYBwQwitg6NeeoYWHhY49rSIaZScgHyJKv8L1aVKkMycc6T8g0lEqYN5hKBVivZU69BCNVwJBIRPZq32CdNxYY15WoR9VyGUx5VETBCoK0QyEgNr3pKVlCjCsi0NaX0F3pCozF+O6wUoFUchFES9qSE1FfJ5WZErWfgQNgcrPCto2qSLfjSj7gRtEb3SvRSFQTPcReSdI54h+NNRsruzHOZs9UWfBE0A6dFV0P57Ql4L5l7c4f97zfSYzvq0kqnARusVDd2JjfLhk9gDe7FFfHVA0AX/D99FawEVWrF9RBcunhDpFfBTFlCM+nUf87cNnXA8qTAgeRsgUkc6C7shNpik7NjVGbYGDjv0a5G6LLbVC5gqUsvallo7z1IV1aiWN3t/j/rmbftftgcied0O7UloDIn+vJRKu4upJbR1Ss06A8EBYbhlABRPmcJqZGIVSqiIuBaikWoszJFwkaF6RLU9QZTfyWuwepbEaYrvOhoKJrLRuEN2plpSkU0WYFGUXMOeAmqwiHgV55uHKeQ5bE2jWKnGqCBP7aRypaurHRgnfite57yEFesYWVHL+0b7LCzoQIMy1IQDNfsODTxcg8mASgHsiSq5NiM4DWlHO7QjYIcQgDFgPqDgV4HRGKzRsEsg4FURRqCjSuCZw3RPpT/Vz4GacsJSI3z69wSUnfHreY1ki6o8j0knQPRI9TGdFOuUVxbEe4zC7am9ZEXybb5LL2hNbf7oWZOghhz1a73kukL5b6b+WOLfjz0We0jpnnHGCob9K/OH9k2GzXvzVd1he7+Dqw+wjNNVVEYRLoYXIwoHWnV23Wf/4Pg5gtTKyghr36pkFmcOOaN5SoHbGUZQQULu3kAvwrPAe2DYnlcr5IoJ0qeiODLLiwmAhntnn1aj6i1LIKXOfdKQqXqz/3MQC646MjHjJCGduorpldRgrSZYC7SKK9Qc61bjsybAJiz97ax1yFCs4s4cU+nCa1/kSzDJrkXafVAqNLXj1s6s7VrivazHbpi3rRcI6z/MYuLZnxfltwPSGgjy6z4h9xe8+vcaP5wPuhws+G5/RScUhTQhS8enDAemHHsNFEC9EbvpHRVyoR1J6WjDRUkZZzMoV8cMRqBX19Q3yTUfE3c90S1jyTYfaDQhzRbzQpqkO1q97XhDOC8rtgOnNq03hF+geJrKAfE+MEeW+X+ePAsvrsfW9tjPVik3xUtAdyabKo7TPhQDZ4rp04X7oaK0LrK1UcjI1lrsetNQhG4sJQ8f96pKZEAcmBzp0wJ5U1P7TxDWXaytS18jzvXbBEjo1b9h1zGgxA+RRUUdF/zGQcVaFLBXbC6Wa6u3EOeS+rh0YEywHOjrMtwHLXtAdjXa8CfTLGK72c/btemGHysuuENySMuVaC5VjUfapsYO4H0lLijyR9XilRmcsKLpnMaGmlQLczts5Q/uEcttj2+Fz+FrQV4/VAs6nHotbdHntoy8YdzPud1Qf+r/98F8jiCJYRjrP7M3dalk8/WnA+bOA4aPi9V9l5DFgujP/WLPmi2egewS2wl3tv17vq74eBc9/YvPszD/xwjMk7wTnL/jlux8oRHV5HfD8Jzuj4fJzj78SlF5x8zVw8w2Zct2RyP9yw+TUi9d1AJY9EAvFklrRT0kf/u5/2FHl+IYPcXzH2M1ZABqBk8TWM1r2lcloVMRTMCV1fl/34O0M3HfPn3UQBe5+Wy2Zt3G+Ezz+hradr/42I54rplcJeSdY7gQPpx3Oxx7j73rEiaj2cstcYvzAWGx6DVyiYLlR8x5WpKMg7xUP/02BZMHt30QMD9z78CzoHwXyO9KlL2+JbI9m1xOy4LjvSHVWJrXzHRPQ5dZ6vD05rgJRxu61J4U6PQt273ifH/+5YHlTIbMgfjtg/CB48x8yahK8+99FTG8q9DZjuJmwTAnP9x3toc4BcozYfwMcfig4fhEwvQHKpl3wH3r98UjurBSCyuBugU1lTIF5SnhSj6cqoij2w4zLkiDHhPQs6E5WDbJmZxossyJJZM82XRPdiD+DcrV+xGmmiMlhv4pbAHD6LqpSpMmtEbwXa9t3+4ImqLVuKpc8mFtgtQnSvBfHqVWiitIFM0Bmlab2gKgYMiKtWhUKS1bi6qkAmnVDZ4gF0D639XEKmsBJo5X5y3vCmrqpAlkp0uCbjFGPXY3SfcmcKt6UBzfP1BvTt3+akm6p1nfr11mBnop6qkA8WwAfxaiVaIm+9/bUjj5lUEFcQkuaAnD93DcVZgEg0ww5T5DPblAjEAwNEEe02w1sKtM2Xx0ZUQuKah9RWxnJfq9wvodupeeEmc+gzhFzSlgk4Tz1aGbqVYA5AI6oLBy7tSKO9Rq3NHw11NYTGH/mOUO3iepL5sKLnuWfVPN/hpnAQki87qd7+fkvUBFHbr263eZ3Ei6hYoevBd5BQ6PttWe3FfkxFsCVCi6YADc7pe09+rV5onaVwMv1z4XMibAACEDsvYIvqNH6xjuj98488JLR8cKsDd1siZYr6PpYOKq9gUCcgsZqcGgBekuSbI1pYJ7MdVShi9PG7Y8jwkFXtMx+TrsPv29OZMnhGjwE2v7Z5luttNGJ0b5rnROh2FoOa/8OBNRdEBLNoygLOEuH09xhOvakBB7Zt+P9ZETGa6NvNvq2F1C2c34719rFCLwMrnI9l2n1U6/XxmaeStnMB0+mr5czGtK+mVc/QV/90lJo3uD04Ebb12tvegtgEVZgBYwAa7so/Fyj0iOzoNmQLqc5O8smBMvc5Ho8vECbCynww4aeXyoU9uwFJpQGVEP+JKBV+NvtzkbtLZ48GrXUnpkjkBqEbSfz5mzanK0NRVSq5TM5BdQ+s4wBeQyIQVs7g/eorjY3VnhQWT2SpYOKXVvStTUFYuO7fr/b92gAsu1LVyKO26QcdmYURbSibTXhopBof3ieOkxLwpwTSg3YpQW7uKBqAC6R83y2PsCJAWPIdpZFQPx+ElAr3SG8iCc3O0hNjV3SrgnupxpakdB+QNTSrPk0jMh77os8GyuLx+eZZ28IQIdVt8MQ3jJELDex2Rzp9kyoaz+xbsTtAI5N6c1ju1brYcUG+WWPpLPlamdeuPYcVbhuvB9z3TstwbNip8xrgXO7l/rvtqRIVpYKnyXXGvdUbYlPmLmP08KGsRY1X5RrN14vf+85Lj11SuIMNK0VrN/V2j5gRcQEo1vy30vPJIAo52bfVjsrDd3zApmLSzWUc7vkPfn1OW79tRVM9iu86MC1VlMwdgpf/ZMidjwfpDBOKQLkEhFDtVoyE9ouFpQa8MMz2wvvxgldLKglrkUFe9F5QzB8BPqHDCDh8ioytjQacLD791YCR7EdAXTGpv9/PtBDN17IeosTiyouFub7WroopteCy1tFOjHpRaRVULmpqN/FZi80lNo8X6tKO5ecRUDwgt/lCfh0H3B5S00aesV6PGzPMHDrynv+vewUZVeBqEBUkin2sSHo0VBZH8M8CuKiGB5KKwJpECw3EcutGhtOkU7FCqqBisRLRJ0iumcWABo9+gh0j0pq82v++/KqQocKvE+0EApAvF9QM4GrhrQvBBeHx0ogbhdQKtsR0pme6mFa2/6aHdRBaTU6sNolkYJnZaTuTO20obBp4j3VDsAhA3NHwOdRsfvujDJEQOlTHseM/ThjihUXAeoUgWOgWNVZ0T1mhNc9NOpPyF1/6PXHJ7m5An6gmnmwZKD/GFH6iNIXDKMi50iKD4Dn44hahH6BdsAseyomxkuhhL4A2gX2LH40pMsrwBuV4a06I4n5PXsVjR6kABpt0fpCZZqJzvrL0SQRNEGSl8nAy9c2CRChdRBsMeSKsk+Yb6kC1qx5bFHXyInu9Ein77DPK0JSgEwR0VAIqm9uxLJyIWoqgjqmFvS78ISLJ7XxAVb6UnWqJj2L07FQZc56n91vrxoCAGySXnXE1w85Hm5hZg9uHbpWvQfWPVE7E9ioYL+V8sB1mg83e2C+SU1MJJotw/l1QJoUu5lzoIwJGKIF634q2PfsaK8huWL8yAPWE2ffSKoKkDhf5cjvmm8CcAgYf6CRukwz4sMFqtM6RTx49sdumzaLFYDOAUtKdkbzsFejlsSniHimL5oHRHFSs4So8B4mRBMDspFzX2MXqpFSm8cnHH3doCluidIQ2W0QM5nJb9pEuVcJJdZEwRNp+zd5kTW5EEwzuXdBgYNVTe2BsJJqjIWsCIVJQHAE66VIzbbn2MfduVk2Pi+DVQCtj3r1YbUgWpVoiBWOILbhKQOHPPIe4oy1z8voU3E2dsSlIC61JWduCfITyzEwqHTUxV9lCKgDgw8vAuSR84fUKDAxsIp8igGhVEO1Ns9AhQWY7X17W0C0g8tpiEUtuZaWSHlSBlgC7s/75SO4FERQEyFdKvpHohLckIHpxxG/nyPSuOBmP2FZEvQSWZ29MMHtnmmJkC6V+5nAvL7Lum92Cfr6bi1szEujWrNwwLUgszFufG56D+72lQvn6LxAz0SoJVmfbpfYu+0JdamQZYGqzettkSQqEOyzgwfmtOgphx7zfWoBf40wKhs3rDgRmeuCqeB6L2uj9m7Wo/ezu8jdpqAq54k0WEtk6YHerWsDWAsEwKqxcFra/2sUrzc3b0+NAr0Aju4XR+aOTGq9HzFciBZ6IQsA0rMhq1GojZArZLaE1lSA601HVs4Q+H1hFX8BLLhPimgqsk7XjYaAs1AWEcRE5/wcaUUL5bUPrmuhEBPrAbg/VxMrdCFFiEBzoUhd12HrB932Cjsj0klQSkDuExXXB0GIBQ/PIx6PI0JQ/E16i5yJapXRzn1hwNk/FoRFzSYITdVYg6DcdpBsxQhjWsXnmaj3LsFRUKmK9Lw05drac8/v3p3QxCxTRJgy+o8s0NRGDQ6QFFu/tigQz0v7nGp98K7267oX+W6E6IA6RCtq2/hF0keZjMECVoFUqhqnyds/qHZMWjz1T9Lzwuyx8hlItgJjXeMctlMwpqm3oxVSjBnkhf6q6J+qqQ6XVjTUIBhzIT21k4bI9g+cQ1K4NsMME5W0M0GcEsu9bKX023lrQ9wdK9JZ+F5ZYwdPpEUpgLTciM15S3ZGwP2n6enMZFvgPbgK2BmjlXVLCJPFBnioWjGcRbBlF1YHE0Mi05lrcdkTEMr7gHozUDxsiChl3dTLAJSb0JLP8JBQ9oJwo+hTwZzpoPH0aY/Hb265XqMCQfG03yF1BfXdgP0PofWJAmjtatMrwYf9sK53rKJLtaN9jQMnoVAp2Iu9tQO8T14jML6zmCIByy3njrMKvYXOxb7CQk2NZACZimL4IChHzqHjL5OtC7TiSJyUaskjkA2FlCwoQyRteOYzW9WIBdFYL92zYni0PcicDGrifbIPNuL5V4LzlwVhCm18NILWxSMT5jAB/SNBrjxa64ix+qiLw5zo8dcJYUkoPZ9xGRTzcw85xQaUSBbIQnGp469WinFYYBoaaAh1PAnq1yOSjfV8J41psEQyWwAyUvSJa+rpT0253ujc51/6dTJuCJMgvOtQdhXjl1SuLL/vMXxcC0+owOkzagZoV6FZgF4x31dIDnj+zR5QYPwAxDnh9JXgOVSUHFHPia2sVlSb3gjyjvZoh68FZX4RvPyB1x+f5BYFvEexeHUA6B4FsQPObyOCKEoOKJdERLJQJSsu/K9GoOzEgv9qSS4P2TBlyHET3GWriFoAsF6IbfauFrpBVzVYkLHpc1H31gUsMbAAeslXQXNrUvfPeokG+OcNsSXTUrlxuTVNGcQSIlbiNFrAKbr2a4ihuFFQhXYA4ZTgdjY0F4+0UqlGZQ4BASMPhy4a/ZhBMp/upvfHqdl2WPqBxEADLSMNfSC1KFkgUa0y2a9JwFWvSNVV7n8w+rAdGqsPXGiefdBoGyAPmxrXXozllptH/8Qq0rK3g+QE7N7xECi7aNQ5sycCWmWfQlsWGDzM6zWKoFZXNwxWACFKV3vB5RX7g8oQEUqFXiaOf12T3NZXYlOpocBWWZUloM5mbeK9cTkACxv4u2dBOtEDOsyk7QWzo2m9mCJEY/z5+TMzFWEAKx03pZ+itjlDQ4T4qnY+0pypBm5Jwk+QqhfIr04myOPoroY1qPaCkqwB5bIPKJ0duiYgoBGozzY+hupqVsSORQiENUlsif32uhyBe4ncp7jSTVvhxua0hjWBAzi208KeMPc0VaDLrhzM9ZGiJ+68VSo9qtHdKynEwQIvV82tWGGAKkAEagpY9hz8UFhQqr2gdKyQznec55nsPKQTD94azUJi4bwJORBRsoQ65EpV5bDeF3yd5dyEefzaebhKKx75H3peW5KrPLBfFvPCVCCJEFu8VPRRSFfsuZiGjwH50mN5E7AMGXnxBHft3e+OXqWuJtYFpIu1UliCxz2rB2pFeDg1mnH7E+2ic6HglBfo0K9q4u05V1L4XRDQk9uUgN3AJHdeaHW1LKjHkz0AL5IG88pNrEjbPsxEl+dDGROmW2l9X94rxV4kwTxFonkLrfSii4o5+u+aENsizaJMvLb3Ms3G4ik8c8IAHV4UrSajxvu8LopwmVgE6zsmiRXoqkL7AA0dNK59fnknfL6zIh0zgokASlHI8QJ5OgLjAL1nz7UcL5BSUW93KPuey3+xoN/6Quf71PYB9lLxvwzcNsmGcO+Pxl5Ip0xa9BBRu8i8yNoo2qsogtRVv0FghScgBM5Vp3+25xMs0MoZGjqKh217+bd/LTB7DEG5RGitqN6nOEUycSqMHcDCJlWZFVDuC93TgrBU5EPXFIElK+pIQSQ+/BFhLkjPM8LzhHq3MxTDz1DaDspSUPc98k1HUaT3n9ie8voeuh8gS0GaCs/bu8EKpMau6SlKGZaC+DRzrY2rUFk8+17J55EPqXn1OnOrmE/ncoOreEcUWKzHkywwQZhMkdiLNosi2tysQ+I+OytFsKxwpJb4MiEUlENnCCnPsyZOlBXdMZPyPeW272sgeidVMb3usRz4Brda8aScjhq8cEfj8sgiD4vNaGtze4/pWJu/umt4eMGwTUmzo9la+jQKt31cnNCKPI3i7Yg57LiVFZ9Zk1wKejFuSkTORibTYQKczlx2fN+yCyi7jj3AXUDdzPPaAfXGBJsCkJ4FWSJCqOhjQQyVdmKPCTdfR55PN0RP8xKQk2L8GDC+t387WCxre8lyB5wPRi1+9iSce83lc8F8Z+zAThFmWseI9dDWBGAEix4LML5nUeH0Jem2UqQl9GH28UGjwqeztQtcLN784Owa85IF3xMK0D3xmvIITG8r6l3Gq8+fMeeIUzwgXAK6JxZqa2+PTQEUJtjdSdE9FZQ+YtmLiULxfl/9zYzh60+Q/+FzzPeB8WBZE/2aFMtdBe4W5HOCJiaqbkXp9juuEF0jcP6CLDM/z2sHyDkinkITfXWQLO+JYIeLYHjP748z4yHviU5nth9SnJJK2440OwshLMD+e7YxPP064Pz5+j2agPltAaJCTrEVtONZMNeAwzgjxYKH+Q7DJ217TN4Jzp9x7tYEoAg00b1gyYLjLyLipBg+VQwfgbyLmO9Mw2YK1mvMe5jvgfoWGD4At7+vKNOW2vaHX390klv6wDyiULConhUhSTNGllPEU9rRu8suFqINLhc7YDpLbK5FI5iMybQYmmWL1xEdr/RuKZB2ODY1WP+sYp9jG5p4f5QHHa03xg9jq5z77/tnO7K2S9ffFxl818HR20AEN6Ed9u6FGxZDKifz+8s85OIlXwk06I5BIC5hpby1a7besVxaQCACbAUnmtUECr+7S62PsHbsLyZKvPZGoYJV/ezvtyqYWe64ZYVfi9vuOE+OohgC759xGpT3EC/3DAKWvfX+CFrV2Hs5INICFfftqkkgPZ+HWxh4H2SzhrKXFEO/gyXXWKlfGvlsfJOtyeiGVkGGCWW0AW2fuU3KbFOyiiJpftaHuVkbUvjvYZK1sucH+LIKSK09l/bsgjBA3s7xRmX2xMrG3HvKVYEQ158DV3Ma4rY3m2QibZZ/o3365/HnkiJ/74XnLgUU+JwW83QrO2xEFywIWvgM09n/ne8X3YijeH/iS0Etvy5/Fl6Ueik+tnmfwLaQYLTKFj0IFJVULwGg3vZgaJyhMl59DEu1/ifrla82L7ZCSv61HYikWMHHrYpg6G0eA5YDMN/ZnBu0UbfqwANcz7Q+SJOvHVNjVbQ535LbLX28cr6HUqHV1pPfV/SK8yYY80Hy8YwR0M1hEezzvajmxRzbq5tC5RxwOg6oU0SczGrGAhDvufJzgWizIXDZtQ686WyDZpbNHNfN3BQb+wAW/Y7n63lhe7XEAPQ939/1RLZsDoknywsTXYRr1k8T5dmwg1QE2BGhzIdIxoKJXjjdTgNR9nkx/7+jQKp9Xngxr33t+fni3+t0a+CKpcBiCrUVWoHH39PTtmu1LbG9x+3lNgWRsCiFnYpTfk0pf6or1bE9f6Ke6rRXMOn0Folt3zkCz7syxIaQlYG+s63YZXtBLmaLcYIJvq00aCyk54aaeT0BpKs64g1w3fmZIiuyVjfiPqTErUyJOiQkP+fnBdj4nrunbTDkI1o9M8wC1UBttOB9//asE/cBTMFU8hlkx0mZYAANqeRi4LkXt36OVkARKzQ1Wy1PMr1gnYLpfCj0Zt8KGOuZZImknVlUAbeHrjzP893Y1jqTq/XMcSaWvzTws0i1NeSwBzTqNdUU0tChkIHlNqKMAd3R5sp2LjsqaXumoq5xWVvPROQRA8TsUWjjptY6sSahoopqxUYkgOJ4ZCO47dGWGtud0Nwf2LepgFKPIS5MgOOyxpyNLg80Wr3TSUsgGjUfyMzLN8B871RoZl9hlib0FCdaFxYrDraWuyJogjm2VzcLx8w4a/tyscs4a6N7Lzd+RqyxWZwK62lBEPN6HrazSPks/Zmepx61BsxLQl44z2tHGvL8ywXSVWCKjNmrXWtchaFq7wsJSE9i6uz8p+XWmC6Ra8R1etjexeJCyWj2XR6LLfs1HtysmMbuA4x2bkXclvTa2Ta9Yt6xtbdsLTdq99ABdazAHPDw+3u2wQSg7irmjjlK66WuRCvdSme5ZYJbRjvHe67B45cdyvAGGgS7Hxx5hTE2SXuGAnpKiEcm0yGzGOzxkRSy2p2azTkFdJ9IRw63gikGhLIp4jkd+EyLIsDWbOD7a2/Ub3OuSSfe69mK1sHa56rH4AE4f87zq/TMUfJOkd8UghK+vQwVJZDVkY78vQ8fD5Co6ARYDjbmlfPALQzjRVDEBLMshmbhXUwp3Mb+KfH5eywR1IAtoJvZG+3z4h/z+qOT3LyL6OBJEP2UysAHIRHoPwTUp4GDvqu88FQBU++MM8UADt/n1hPCO7DN8TwzqOk72v4E0BvOg4dm9XBd/dVdz4rmlCEnVrlxPDOI343Q/caIS61PF1gT3BRXD0QPRJYMqRX19oC6J2IczgtpW11E7QOWAxvFp/vAoLbnxqFJLTBiY3r3LCahTupCvGSEh9N6SX2H/GoERBD7tNLftpYTVYlq1wqUAUG7ZsCOdk0J4QJuDEOkzUuQ1V/zWBDmQupdn4gAPHFWLnc9ShQTqIBVgjOgIC3TxEhkKqTJpcDguucuFSYTY6kFyKxyP/8ysRpofRs80IA6ANNrX5hmJ/VM8+2w2OYmZtdhCCiCAEtFOE4MBozK0OyJuggkE0EpFVLNGunOEMgbtN1UMlBjYKLoRZTNecNEh5saBYm4kMsoRg0ToAa4Z2JTp8vsOY8m7lWjIII0WmRPciNCXhiIbVkFXoBRXdkJW2TTe67t38WDIE+Mt7Rjo2zp5QJIgBx2FGNr4lJEw9p3xMjPG3quCUN13We59AF5R2ricidNpKEF/0DrVwwzMHyyKmWyIG+29VRsTm+T7O2r9VOG9b62Ce7mPqUEo3yzGLL1820JryiCfYfT+RhMY1PoscKJobZOr2JRYU3Kxa97N0BDb0JQpPrmHen4yz5gOVBq//xVYYBjKFG+oepnPBPpjxcgmkWDo7r8nhV94b6nm7/zZyHmVmSDJbaU3+fB7wFtMEriFZ23bpNcQ1kASEktUZYM9m5lQc1APAaUPCAurBA39U5H0HxdFaNtDrSlis8TWSjRIRd75lVp6ZMzBHvaCrVrCm0O6PGM+vgIEaEAVUotOZVqYk+bJLAVKpdMBHdZUKcJEiPC3S3g3yPsDdSxWxPcACy3PfIh4vw2Yr5n8DK/LlSItGlYRgoLds/A8BjafGnnRs7UrfCzauhZUPP15JoPQGubaVTqWiGPzxyvoec66DtUF7ZyoUH3q+1XQTgvVjjVU5baaL/8MjTKO2BzpEvAfjQbL1tvG3unllRHovF+3uVdQOmJ9EyvLTGKaAUPiK7n3Qzu5ZMij5FI3WXhenSUX6wPOAaKDU4LtNq9GeuGVFEyJdg+wWLpcuvMoIR+v6NOx9Mz6oaZU3oAFzI10kVMgEtYqFsE6TmCzCFFOVQgVXQ3M/trP+7QPfM93TN7BMvANqPmxW1F+jAV9GeuzbJLpA13EWoohIvZhZmCTOWuRx4j0qUgHrk/lbc3UGGLEduXAFjgV/tgwbt5FYPJWh0ipldsH+ofshWua9tLEK39SC3INYG65SCMWzo1Gq6yKJcUZQrIe0Gc+FDDophvGfkOj4KxE6KQJqIny+a/SwH6ZGeJI6SCOGeES+b+kMSS3m3iv0nKYcl4YiwAMCbZvSsbJBgt+eGc5p4XT4zv0n2HPIaNlog2uzlHWlnUsP70S4H2AdOrhGUnOP6J4PILrn8ZC0Jf8Pr2hC5WfHreYZkS8nOH7lNEDIK8J00fxpxoave+BIMJ2EWgP+pGrNOTYsbIjkjPt4LpMybj/SOsPaQgPJ4hYwdov7Y0ARTAsjGpHZBvCxCAy7HHFDpoCY3Uk3eK+W3B/+G/+WsMIeN//pv/CvXdwDli65m96/xdTYrhHVHesADdWbHsBJ9+DZTbiuGHaOgcLB5kX2Wa1KyApCWwGk0xNwCl16tn6ImvBiZQbgW4FcLKA2126usF3Xc9xh9lRZWd3RRIG5abjPjtgFd/yYLcw7+aMdxN2I8zdv2Cj897nB9G+okv5KfPd2J7CwWXHJ0uAwWVwtLh5veKz/7NhNMXHT78d2xpqPsCJEV4TOgeA9JRsHunqx6CodoQ0s7znjFU2TNHuvktcPd1xvGL1NqR8gFwNF8U6B5oEbXcCJ5/oyhjhY4VSIp6tPaCk+Lm24zaC86fJeTR+pkviiVSsKt2wPlXRGu7Dwndo2B+W/Cv/vl/wlwj/vr7z5DnBOkLQ6E8IGTGLvq7se33l7erXoGjyDpzjwk5IEyrKG0ZgRzAlq5IFtTu24i8V/YVR6XIrCqG72jN1JSrt4DOP/D6L9CTqyuQWmH9NmiqnMH6HzSAVFsBUCJQWNXy93lvxFWiKuABm5hQiYtzvAxyS20CKj+xV9n+HoCfiIu8oOv99AYtwPfD3t8XhJYIuTR66JUAT5MUZ4O2dpWVEFHozEOiyeTHTVXCExoT3LmSP98G+HVz7R4MZUtWxDdIM4QH1sq+ctHD9sEmfGTUSC8uAAxoQgzX36Uw9LSiiaY01GBNwvTl+OoGTQ3Y9Pnw2TPJVmhfUdWsaGxhVKN/A1ZpzwLZZqAhbHbEzUvWKnezJ0prFWyr9CdeLdwunG1C6Ztu9XHFOs/Frstj+7qd01jRL//vFnXeonL+eolU/uS+wnXC6+jOdsy33+HPJABX4kUvv1t1TYq39Mjt7wa0qr6PY+14mJaB8329NwaMTpP8ySPafC/v2+fqZtI3i4s/0CfQfm8zD+0zpWIVPAKYoAaFvGhE1VopzGPrURQtkWxUf4lAEiao2zHztaYeHKEhqVdjlMCK7ibJ1aqowjnUDnsRqDFd2svQZf8+2WoGxA1q59/pap3huuedn2VBpuqKpL+ce22vYIAIkSZARcE1gQbllNsK4pm4mvdNAfgpUuhj1oqGet1j2p5dvUb2Xx5ozVqI10+F8c1n+DOvm/0wBmiNkNQZPRnwguBPKPx+Kf787BnWTqG9UgzQxsj7BF1Ej8I7L86prd3c9hoDsH3Yq9rui/W9fZn4TytOWTFM25hUYx5xfPxxNg2AbSFsy0gAeD0+1tuf+Xs219QsQ2SdvzWi9f/V3luFYHOHyWezQPH3er+xSKOz/sQWz/fEyqzMWRdO9XfGwtbC46V20fYVymY/sr1JCgNx2eyRtQBi2gp5StASEJ2OWOwsVUtKNlTUl7ZsYmcsab5eHdGfslLsfNkqpr8UQ6OQmCV52fYKL3R6clhXPQq+B0RL2z3bHhQ5B4v5iDN2YcBbdpV7VuB114FVLFG07xK3KmvP1Aro1faGhryHtSVHVhowWu/eBrFtzJX1/1Gu921//lKlxS3+fhd2rJ3vdZvxqw7IaBvrFmfZfKaIHIDKFrIaw/X677j+Q1+QUsHYZXShIqWKkrmnr6JYFsMkHi4hU+ysFX/seltvsI2t7+PNFjFdnyWAbjQWbC0XNQbSOvl8fm4TRohCl9AQXqixT+x6LiWhqqBaCyKRTFnJNf55xtRye0n/95CBOklj98QL1z5/19aI2d8g+P2sazbOAlgS5KwQyZvwZhseRKztNMJn5kkxNuyi2l/H2Sst35cD50mpYTNO6/es7DQCGv53eLxgn5dvYusRlwrIhZkoBbKY3DWqtvDNrSDttGwoqrdGePxoZ2ubN5szeqslIiaGqtUKnYUAUp09HjGAKRkI0N4vXOsCIFJpXg6A7DM+H59xzD26rqD6+Ch/f+tnzDYpE87K657Q4u1N4fOK8ojNPQVfM4D2nMdZLY+EUDDPGEOhvPiQP/D6o5Pc7jkj7GvzFQvZlWcrSse+hbz3SR4az979r/TFZFo3d7D6eTNADgNkWhAeiXQ2NT43en95UIiheSEYAmo9trvhpwf8toIObA5+F7sQ6GG3/sy/YikI08L+pb4DXu2s0iSYXgUaYe8VZaeIn1/Q9RmlBNQSUI8R/SOpGxSiocVOGDtS0xba7CQ7EFowuukXbtftY7Fk4DytQiUAe6kAIpx9AooiHmdcJZyO8CwzwuNW5Cegi4K6RBRTiK0AQh9Irz4tpNMFGtezGl2gYsbwXWif1ZSXA0Wkak/KzXKnpNAkAEmhY4FE5WGqRJY1BlJ/klN2+LFxrpCJwhXldmjPpD2zjr1J+ZAafVwj6UYe9LswQL7hh9ZhvWZNEbpRVw65QCZWpmsxBG4RuK+vVBMy2tBIWpILGGpN5EAsMJEAyDmvNMYusWCzRTa3QbghrFcv7yv0uVkqKZlVISlu6JhmT+BVXlN4ba+cifICwDAwiLJ1Qv/CYijTwD686CJKgvlWUUagfDYj9hV1CdAi0FOElNDoVumirf+8vTyY3ya8NodlydDjmWOZ0tpT//L927EwS5UmqmW0S3FLsLBGIO5pzYRADEXE+h3+ObkAXUQdE+eAmf1q363JhfKZVvNYdDRT01rsQqrsaYkKEUU1b+w6cxNk8Ojfvz2UAnN85f26irl2ydgKYUW4RtLqykDKUdld99ZJ4TViXtjjpootjTOcZuCWIiahVPSPxXqHVlpomI2yd+B11k4hYuqHz0bf9MRyKpBNoqkhADvu53g6std420cdIinJT6c1yRELlsE5He7uALUEr2b24UqACwZqiJBY1jPC1pDc3vJ+DflXVeAyQfqeSsXgHkI2RYCnh64Mmfe0ikh3M7o+02NSFM/5BuFH0heWA9dG/4DV0mXouXaG3vq6yyoq1UWjwfMs0+MZqAUyjpzLIjxf7DqgCnk+k3pdKqC0DNM390AKVNndsJuCKhkiuiZU2iWuLztTADsjusgg0ROoy2pJ48+uWeYl63+35ML782tPqpz2CtwtCKmiZu4HGQlhDhZUo6EYtNRK7bPbEiyVxUwrdFHAqBjymNgGsA/cezppPoxOpXSUHCLc06oAT/ZIPhVES8C9eBlnxfie45xvGLSGBdCzQHJA+i7BlXu3PpOu0SBBEJ8WhDnz7ErWImLrNp4WJoRnCmcSSdU1qY9kl8TzZg/aFhaq2TT1CXnsIEUxfE/BFy/myVIgU0U4Aelh4nO56U0QjwlRnA2hNIeDMggurwPP5ANQbJ6/+uoR+2HGh6cD5ktiQH+vWD71kK8T0gkYPxakc4EXvzVIsynqTdyqjmndy2xvLCP3k5Z8VUU4Z/5/rqtOhVHy5TyTrXFDYQFHnqG1Uc19zKQSsS5Dh+VAsKB2HRP/qSJctCWRVNAv5hYgyEOA9J5oBxRj5My3JiBqRVxJFX2fkVKxyxeEUBEiWWbxJGvxvrOEu5LRNDwWxg091/PwiWKrPj41UmkXQjp1XBTn1xHzHWPpOhBIyrfsaz58E7G3GFDmBaGsA9KdGG/VwY49AZPtZ/bte9FarFgfTwH/v9/9Kafd+x7pKKiD4vxLJlDpJAgTDM0ngtg/10Z1hwK3v7M904pN+x8q7v/6CBVgeUWrmumOxZKSqNQrFY3BN7ynqvLjPwl4+ucL4lPE7d/RZSMfVvozYO/fM+5KJ0CnDrKs6HG88Oy7vDFktVfoKaHcFnz839sgFcH8acAc+zUBs9ZC+F8trhvfK3YfeSbOB2o25JEFgMtbwdM/idbWJ+iehNaoZxYwQlFMd4LTL6X17MYZuLwJmG/Zm7v/jjnB9NqKP6rs6QfQHdGcRxoLEraHdixE777nhjR+pLjp028Exz8t6D4FpHNEjUSiy01FfSDzQYr1U89khtRREL884fXdCb+++4j/9ubv8TEf8O3dHR7OI56ed8hzgNxmXO4W+vaeohW1uHa6Y8D4sWLZCc6/4N48vSnQsUI/JYTFHVWwAn3KZ1R6Rb3L+OyXj0iR62taEvLXbzG8v6AOCctNApZN/PoPvP54JHcukN7QXAtGYlXjgQuV3wzNZSUL6J44EMVoGm6TstqprJ+viVXx6PY0RkfTGNBUN014BMCaBBT3YqxrIL21GrHXKpnvJZ5NsO1/d6ETrySDkxa5UL3R+vG8z6V6xciqZiFWpFRoJwMm/PGiphpm3xFwfaB5Uru5XldZBrAG8QCa5cxCkR3EgEZlViXV2zgrTfHTKZed9Vtmqgr7GGq1AkEQhCAvC9OkcU7ZRFFsfHKFmNy9MiZdxy2Tsuw9CADgJtLa1xbcq3LMvKKkiVUtTYBaz806RvYfp/Run58ldq642aT+A3BVcfSPkhfJ10v0xCr3QCUQV7nzpa6iFll7b9JamXQ0twkRFJiEvV1jBZo3aIpowihNkfXF6+foGT83d6sy4A9dG4eGdutmLvu6sDnW6G6AUT03xaBSr+Yi7DG1N5iMfAgVNYiNj421jUGYlcrBL9HDly8Rrrk/xMr4uZf1wmkM18m7o2U/sWlZmSFNXKVsgk5HoF6ijD7OqtfIXNu/sIqPWPBMFF/gNmDq11XXP+6h5/sIUf8/MEaefAMrsr5Jjltl1a7hqpjoQ2P7pUqFbsuqXkQTYVFsKpAcjEnDQATQTcAK1KTtwErTuq9x/teGoK/PyuZ5zkBVKNLV3NZaITlfF3faPsnePVWxZ1PNmmqTILXTX9exMlozACJaVemzqy/m2Gb/dzpn643evESY4LqXpK/v1j+m2PQYBzRNCZG1LeDnXrUw8exXxFU3qLMXqnSaAa1tzfJZGgV1ydy/u8R9fV6u5rEAbX21Np2xu76O7Rp9icTbdzkt14VBtr1sqoAE7gcqwh5b35orGl2U4yONxuoxwPp5uvbAG1rV6J6bBBOGIjdbEuAKJZUYIJs5EieFWN8bx5UBWpoBiBp9zlgWVtjpHtGKlltmzvYVrKAr3hvdBsySdrdmagU0F5yMLUlFrq39p6G04PkjZZMUF+vXrhU4jERQvSipCpQFkiLKnr61tXPFcCBMLOZcMz6w7oUCjP2CfbfgU6hQFQR7niUQRYlmc9I9zXA/cu2k9UuuqJlRz7dotD3zmhhfcB5VQ63WWK7NsSW3Qu22D/MnaL2tEZ8jNbL44KhYPANhrs3maGsNic3aVRGIVR29uNfmVoXRfCloeVkSggA5R9QSIEugM4Wuc7Rujnenm7PYo2zBOi8oY2IfeFyLpGHe9MHbXt/ino7xUWuzsfUsdaUrtzYS/2NnkViSocH2Mkdis6A8cy/oZkEogpKI7EVsFHwtpiGVWlsBBSA1VpTU4jwK0qSI7x6hKaLsO9QY12sSNGeDCP5bmhTdiRl4vF1QzUYyTqto4zqPSJ0GuFYdAXbE06mtdXD6vX1vXxH3mUXm5457mD+zAFCo78XkUl5b/5Bpn6hkj6hYGjIA+XWGXCLSmahs/6jon1ZqyLJPpEwXA0eKtXfuFXERpAvP0zzZnFOsa3bhhJJhnQPXLXUrPXv8WJCOBc+/GqBjRR1CEx9zJHx7VoXC+FoWARLQ9wW/PDzhF8MzRlkwSEawM09VgCUAY8GwW5CXiOxKxx5vAU1Px6ndzmRrQsCblxBH4TUNCukrdt2CIWV0oeCcOryPaO1PP0fc/EOvPzrJjeeMNJ3g1XJX8/Uq9u7Nnmhax4phyFQpc8l/BEE65oYwOkXKDwKNRCpkKdY/Vpn8zZa89R2azQ6wHggX6/1qoiYFeCYSLDd7IqB20AgCB35DxZJ5AU4XVsTdi3BhULZujLUJhcSPJ4TnhPtTxu0YkfcR0x3VW/NwAAIw2EMfnirG97MF1WBh4Gnid6aI+vqGB/u8GA3PDi1Hrl1t1zZ9haEWHX0THVlFKQ3JkKW0ijhygZwu/CxHAv1V7XAUQTA7nngSpEcbG3s2/nlymhCeL23sNQZEAKGLRBVy5X0cz4iXCTf/KaHsE3bvkql8Am1VXHGz1yAnLhX9p9xsGaCs+obLvD5f++PWSdoRdesfF6gAwzs+t3zokHcRrhzNTZIVrd23x/W7c4FsehXD8xlpkVZQ8PnuFk5liBRR2bzWoNPsOeYCubCvG/PCOTsvfE4ehPtztnnYnkkQ/nsTqLHA3wsTXsQBDBkLayLku7CvA2DtO96O99Zaxnthk91vJrocHk4IISA+TkAKuDn0mH/XGVret6KVVKtCXzLiVNF9uhjKsLHFepnMG7omTSSuMljcrrcta6Osz0eswNbWSy6AVMjjkdupXT9SashYe7/3bxra24olltzDgqzwfLmaa5iWlgzRD7pDeOgZPJoi7u47oih5HzHfmqLGdoMWIJ0LumeyEMJEhD1cFo7VNtnwvc3V1ucFOFrfYoxAEHTvTL3YFFU1mk+vTQOpwPD1R0OYvGC2XpDkjPB4Rnie1jEPAYMh4ru7odkkkVbEfV0q0D8uvH7XDyhr33JDVLeFyRDR6LFVgWWGLhnSJegwoNFutwVKU1FuyakEigjGyF60nNHo/P5yW6qZ96JDZ+0ZC3QpRPBftinsR2gChu+eMXxTMX6/x803A8ogmA871LRGW18+K8b3E6mIJ67rcJrX9QfuJzhecKUKnktLuH0uyn5v89R1AaxYuWVhABDrJRab0zovZJuY84BoXJFMX17zwnutdZ3jtteExxPcqgyeHJ8ubZ9DEIRSEE5xLUiEQLHEFDD+yCSnjBHLTaBY1zhiFQ9kL146Z4Spon9/gRTTTQjBBN1KKx63+3ZhPVvfoSowBezMGqzse5Qd9Slc5beM3M/H709wVhJw3Xselopg1Lr+sWB4WH+mAowfg9GfiVDFqWJ8v0AqzOdaVsprtf7Oquy5BedXPM2MhfysvDDG0d1AUUlZe79bD2blONQhohxoSxWP61zSFBBOM/ciL1II2w+2BTftIur9Dq5knHLF/KpflbWtgNk9F6RzxfCJby1DwHxDYcrLv/sCpwj0CzBmbQlDnBXjx4p44f7OpN57ZdFo3HEqCKcZYmJaKmj/pZUJn2ntw1oo2RRBqTGQEOZiFmMV8ThYX3FHamklMyXkiuHdeS2IAOgMrfV9Voqie5wQjhPqYUC+6a0Ax/0xnaqpo6+OEQBII11oH7b/TlATxdaWAykDlWEhxqrYVSJy3am0th5R9l67Kq77kEMtLpgyZM4IVuiJU6WVi4B7eBLcfJtx+J7PZzl4gYAVicM3Dk4EaOzpT22vuCiQ3dNWMHykWvP0hp60/SN7JL1AlfdAvgdgntYqQPckGD5ISxyhTGRbX6kxEltvrQmKAixmnd8GTP+nr0zIkXFdf1T0R8XzrwLOvyQi7XaM588C5lv7jG9HpEUwvRHzziXq6LTW+Q6Yf5EBFex/R0/YaF73W8ujdCQCXT9XYF+glwh8OzKzPhRoqui/69A/SItfamQLlih1g7ojxbHe/4vR1irH2dX2wwT07xLCJGaVBJw/Dzh/Fto1Ta/IBgiiRMYviuGjF4/5c+5PgMyg1WVV9M+K8SO9cC+vgqk7E1QZHhT777PpzVAh+/mriBrJvtj9tkNcADWV8dvfCjQkKibfGkvpRlu7XbwIzv/pFv/Ldwf8u/uv8B+++AIfjnuc/u1rdM+CwcPSrkMdBgQFxsUKWxEsEkbg+EWwsQPwKBjeJyvc8BnlPb2OAbNVOrMwomMBTgnf/LsvuJ1FABW4KcDjX9waW1ZQ5gL8X/Gfff3RSa6cZ4rmTPNaLV8y6sdPQCnoP9yjHwf6yI4URmKC9aKCvhGJAbAedH3XkkyKLQlkmukZOfaNdqWbIEqqAqczg6EYSOdaFtSnZyaUQ8+DHPhpEOmoQS70XAyxBRSNIrbM0HmB9B3kYDYLz/SyC+/5q8NuxO52x3uwauvW2qjd/wvPz9ofUG4GhLkgTHNL6t1SAsWCcKeyeaUbIP0tRVaQK9YAsRDtEAswpVToNDFoipH3mOIa/FswJRdD02qlsbsHQZtxk8vMcTZ1R7EEXJbIQCkXYJpRn4+QGNCFgNQlDJ1ZF7jvcdWW8LXXbkS93XHOPB558N3sOY/OMz0la2XwhjVJk/3O5mFBPHJOhMcTsGTEmz26mwEyFQSjwjaxl2len3/rBbV5fpnMNkNI9Zx5sARTNG5PsZQ1GH1JLRbBFnFSH2utVIMt8To497UQgqG+m0DMf8/QMMTARHn7PuDqHgA0r1WxpKgljX5tSnRMVVYksRrK6+wIgAq1S0bqEpJ/ryPIEtZA2BOoTVICgM8n/YHtx5kZ1s/V1K434ljqibfISsn257ZJoHVZ2mepKmQcOU8cyYPlnV1iwOi00U1CAQC46DrOA/cDnSbShjPXJ0TauPKaQttghxhwSCw+6cQEUrqOc6QUjm+wQpXIuteE9f79mevPjamP98w2Auk7xJR4bVtPcP8cL9C9RDJzgZQL11UuwLTxig6CbrfjPjHNpLd3PeSwsyRkk8B6Mc73FFvb6sUGf27b+5oX1MuEoEMbP4W2vQUAtNS29sT3cCtciAjHJkhLztfzJENLZULcJdKkfVydyl6r9WcHKi+LQN5/Qv30gDQO6MZxFevaosu5rCJvnqzudu2MoXYBKZfX3tQFV0ruQUib3hTSvEiotba1LuNAESp/HyyJ1nX+8kcvkIicOfd8PDdFJrViWSsA18rzr1phKFjhdzumIohnUlGT2TO1loHNtbU16clLzsD5wn3z1T2FuLaFLz/vLhcWPXYj6duyoqDykQWmuBuhY09hqkdykWUcr+0FPdHd7L1hqRCjnsZTRnq8MFls7Cj+x5WO4yUjfv+J43J/gzp0cE/i1lIAkD3U0fowXDIL8tPMfcKLMzu2A1yhEW2/RGtfKUNERDHrq0wxtsTzB4/PaJ7odq8kqdicjhH5YIjc48wz9L6nGGBGQ4LjmX3x8eMJ8nxqAp9eoHU3Bmch0HGBxQwALNwuBXBKcrQkIVcCHdMMqZxPEoJZRK16JLUnHTjAkl4EqBhdOYXW364L97VwmiE5ERm2MavJWuQeTpwHtoZiCug6FlyYSCvCcYJ8ekIIATKmdh0IgnguCLOJgF7yeu9WiFSBiaDRvqnse47dgxVsDJBRE2Vr80IV6WmCzJnJ9W0PrUAsqxaKLAXSmQjbXCimKYL8aoeqAelpRjhO0BhXu0pf+9PS5rmmAA3r3G/aINWt3UiZnd4weYgXoHsEHMX2JMX7sCEUAh0+KUoPLHf8znih0FS8qIEPofXklx2ZAbTGoWjT9EYR5oDd96Tv7j4QaTy/7aG9Up/CBKXmO2koav+BlODllgWC9APFktZrFfSvJraQ5UTk9FiRThXLTcTZrIRoRQRMAGJfUI4Jw3uim9NthnQV6SjYf8eCVZwVeRScfsn76o6kmT/9KuH4p5agHqVRwF09On7iXEwnXuPlDVHkeGab5nIgqinG3oqLon9isrscBJc3Ys8KjfUnFUjHgv5hprCk9iy23jLR7U5KGu8uoQwBWQSnN4J8UPSfeE8wSrNkxc23BfFS8fQnCecvSBFebiugsiLQnwLiHHB5G/F35TPgscMX/14xflhoF7dzYUsYq8vXM1qxa75nUWJ8R9ZHnGihWiMai2O55SY4fKDFJgCEoQBPCbd/F9jaF6XNz+Mv2Qo6va2o84vY5Q+8/ugkt4nCbBFBEUjft6BGLrhGP9UCEaMdy2KB2DaACIIrjuz2EHQl5VyuA7hGeanwXiYJgVYoMSJsA2x/vaSobpOMFy8GhwzeZAgM4DyIqxVoTdkWoHhPlifejjJtk/kX1yFLRjxZZbvRsoTfueltw4WbIMaBY2jJpgBAHVkRPk88HDzodIVSS4gU4OduVUhVcWXRdD0Aa0/w5rrFaZvh+v7XZx0QDnuiLV602LILt5TyuEn0HIFejJ5XGby3gKBbD88rlNKqvrA+uPZ5hgSFM4MG70dzz8ktvZA9uZvl4UGkf9cmeAZwHUR50uGJoyUqDWkCNmiIAIhMLI07vQ2+Aaz0YWBFI35GP13VAvcN6vWT+exJwE/fvCY8fp3W07q93ithKu8H9+uFromyTxMfk5cJvyepIWw+r1sRpp8RI4KPgyFR+tICyVRsr64zbBAxv48WcNv9lgqRYu0H+QrZvDKnDfb/vk9IACIg2OxZslkDmw2sFQ2qFQH8Zz+nJg1wz+qEicmyABI494FNUr0G1i0J9H345XgD3KskkKGwff820XUWQKA1nIbxGkXcPq+UuPZNzE/ypsCznYf+Pp8rvn6ceeDfXUcEOzteJsBXBafuxbHl31le7E1e6PC9wXpVWx+qr68tWuz/tmSoJ4t9v46VJ2zbNWTop+QCPZ3WRN8/S2VN/H1srCigy3p+iY2PJqxUW9s/BbjW6niB7re9y9f89s/2efnf3YParZ02KKCzTHx9XRWR/Hda4amQ6tgUzssaBzTWie0jziIKoelGNEbCy89OCbLbQXZoxSpeY1OKQbNEW16sB18fMV5f94u15qJDYTaGSbDxCGCiEJgYxVKAotC7A783Mf7g3BQ4Askk2YoV2RPDbm29GHtrjzJ7oLj5/ZYk8/nIJaP/OK1FkaFv/fc4jCz+N8bKmpxrFGCgZ2qj7KbAj80V3UnovWvJLc9p8N6Hniwo64Wtnth6TUOxsjTsOdWORXW3Tmy/nwLKoUdIAeFChwvEiFDT1fXGS7ZWCJ71GgLqLsFFLdPzjDBtYrwWJ1VEKW3zkKzNIlH3Q0sy4zkjxEB9trqCC37NUldhNtLJOW81WS/wcYKmgOXQ0S5T19ClIfXucBEj3A4wGMOhHAJUDJG2JNTtnOJkCH+t0EgnjFY8eL5e36R8x/bZ7VnbPF73FFzFzccvArogzYfVnSW6I6Bn2tNsFYil0PNao6J7IH1WlInnltpKVgaLEbULjfEAMbpygbWmEX0knZl2TLVXTPfmznAjNrGkJYvRLIDKAJQdqb3pyHU23QPTvaB/IhW4ewTmr/ftfpeDsCi1D41Foub/rEGQngRz3yPMlmAJED8lQJmQaQSqrCKC8cIlXgbg8joiH9CEkcpoY2YMzbynHgFdQez3Ov4esAoy3fzOrIAGotz+yjsT0FIbkryKd4WF7Iq8S7i8Dg3FRQBOnwdMdzdMKD8WxAm4vE2ogzC5HW2Psv1gPgQEs62KZ6wsEgXSsykjW4FiEAEwmBWUYr5PuLyiarhrzmhk8u4orRcUXGSw9oAmaRZRteO15z0a/d3bP8b3gmXamRMHWIwTewa9faYC448BZboGCP/Q649HcnMGEn31ZHOoyX7HJPd0Rj2diXqOYzvAEAN07KExMji4TExKPYAxUZgmtuHUTmD9DEcKjVIsVdcDzy1QvH83BOB2zw12G0D/XDLnr2o7miNexYLDYVipwTtHefN6nZ7knqfrz1sWJv1dt1biXyB3suTWJ9V+1oKG0A58fT5CYoTsRlZfn46onx54mN0feGA8PqGeTgj7Pa95P6LeHhgsdN1aCXafYE+iOz+IbPL7c/UAD1jpdEFWRM7/3woQreCQIscpBtSxX/uJtrS97X1uk5yZ9hH1eISWgmiJkKbYxGKawup5WgWU5oX3fHto94EYWPW8zJybFmDKS0TRbDq2yY7Oc1OHhFiRwJGRWomu+Od4wuso3GaMdb4weNqOnSeGOTMp814uE5DC0K9z1NHSNmd+ZqFv1Il1O7/8vU1B8CehszEVFqgqQkocG9VWSPDPuxozDyTbOtkgeSlskE1Ze0EdmRLzN40ROhJlk/MEPV/s9jbJhd/bNjC35FYLP09z5ufZuEqKQNj0G9r3rhRobSiB/v/Z+5Ne27YsTRD6xpxzrbWLc849977Kai/Mo0ogU0kQoibJICR+AD2SFh2ERBcJITohJLLJH6BBByEa9FA2IRGdDM8MyEwyKo9wdzM3e/YKe7c4xd57FXPOQeMbY661z3vm6aSFomVLOu++e88u1prFmKP4xvflAiwzx9SfrwUzL4IBT+4ggLqHm/Xi7MdbqOXV/AhQjZRmO0dVoYUBLY6smMrTmXu974COFVMphbPm62vbvmDztU36qJLcSYaB+9Yrgy/XEmCBgQXIKVrSrJLcaWszY1yhsp4IyRk6z2Ybu5ZQAywRoHqNoHHCNUdShMCA0pMrVXm+qK73GwSy23HM5oXJoWkmkuhlcP8dlXwEaZUPrbrOmTvPnsS6jOvceOXeK+sv+oV1SNDDwEDpfF6Tuy14ZmKl9bwPdh6Nea1wFzr4wcfVA+VtAB4isKVH39jll4kPQV6/29fK0LeWCC21JShaog0wtIZVdU1zuJEbziZztk1mzrl9Hmoh6ZcPv9n1JleWPdEQiXgAaGvmmePu/+aJk9sDNEaEh2foh4eWrG5zobRVnkD31oZWMTX71ZAC+TohHhbu0zAubG3ysy+tWrVhZFuM9gnzJ0c68U8zE9gqa0uKkQnWI3WVUaJRILw4Ry2oDnPmd+y7Vv3lo/PPcLoAbz8AQ496f9PuB0FQbxhwxbkiPU4Mcqxvr/asuqtY4AcGdCUFxKUivmeAG59eoOm6hHq7tyBVgBSQj52RM1VWfcfMBDGAcGHVdnlzINGUOaJteAHMr3pI7bD78gT5+plEiPsdnX0PsD0x5kH6YYfp0zfIh4jDFxfEd8/WY65WVeX9hSkTxmzVZVSFDh101yPfDyhDRPc4I7090Y7dDmjtLEaW6W1L0QPqp6kRe9UuIs4Z8u4Bst8h//AWyw33fAqCeJ4R359W5AEAtYJDyBbUDz30pmfwf+gorQi0sYy/fqBdeHWDukso+4T5LqETc8y3/fZdZC5iXCAPTKSJ2U3t1mq+WNDs1/MfZtx9Bey/ZqVwfsNgon8PhCwYHiplfcaKeKmY7xloaxIMb0kWefk0YPyEOsDpxAC0O1V0T5lSeYMgD04wCxx+rUhng51Xgy8HBigkTRIsNwyy5lfmYytaC3MaGShfBgai6WSESgI8/PUKvJ6Bf7bD8QvKfw0fCLmd7oH5HvCsTLoAw3tdq61BsXsrSJeE5VaxvC4IY8DhlwHpwoDceVvYdkmJMAAk0N2TfNDJx2rPz+6eAmQBllcV8umI+YsdXv0pWnCc7wrKEBBm4Pi54LM/PqEOEV//7R3mV6zyUpOWn8/PZsJhVaAJCHPEfBtw/j6rr+mZRF3nnyjK9yakzwf83r83I04F509vkPcc43zknCXrxpvuaZPCwkTBmiwhMVr3xMqrFGD3QXHzORMUy0Ew3wZMb0gWlp4pY1UGYL5nIuH4K0H/qI1sje2ATBosNzD93oo6KFCNgMsUOKQAdz8r6J4rpvuI5x+F1pcMAMudIh8Uu68DXv1ZRR1fJLV/w/VfOMgt5kBd5kd0yFfZPnckUSq0XqB5gaSeB1IIYOUqQJcZqgEhX6DlEZh7SL/lCif7KDOqFcjLdRa5ZX8jFDxUsFifJiIXewhQ9eqLPW4uzRFt4vKNxcAOzDxD6wXICZIZbGgegZqBvEAkAZKgi/VD5LxWbL+rGqwK5IVjIT0Q14y0wyBblXD7nu3/22drztByAhARcgedOyA/o5Zn9jVMHSRXaHlGzReS/SwTJC+oM9lOJZtmcA7c1dsgF2Y8t2NfN4470F5zJWMB8IC133HOCp0GJKAG1NQBVYDMIJd9u97TG64/E5EBWc6o9QStFTEnwsXJg74ZmwrJs1XjZmjJfGZnS93ev/3ZIKkacQXtyzN0WbDkNUlxKc/osHCNSIBo4DzU0eZ9AfI28Atrj6sQy6F54pqqsN8J32OQVUCBGiEhWcDD6jWWgUFCLtC66Ue072lj588h6zrXzYG3hRNL7Di+Ph65QOsI9UDL+8wcXuoZ8JfVr8361OacZ963RD5fEO6XzTpWr2zZWKIItNsBSJA8WTLAKpRbWPWW7KkFuQb3LTOJ4Px7JUCw6SFsY+DVPXu2TMSH5gJUC3LzyyDXv/I6IGiZ9k2gyn/wipp5fxp5L/VFwCayjpu/TyKZA6WH5DNqPUFKotMqAuTJYL+GwlALFOvm+20PcY2yCkaW7MhgxPu7tWKpztYBXJYndHGjUQtY0HYBoLSFksw5LQDimizKZ2iZIdLZmg9Qm/dv6TxvqlCQZP3Cheum6cNoa1tpY3Q1Zsv1XnDtGqzBKteyB7mwcbTgP89AzZDc2/3q1Zy2ed1W9rdr0hEMsYfOhCOiPNsZkTnfImuCK/s4GWopT9Bysb3OsQyzAkjX92EVZs554f2ajfCEhs75aixE02oHfA1vbV+p3HexwzViStd5CiytKKwK3xAem72fyzpGSiyaYA2koSQRU0nrGQ58a++yhcDPaQtyl978gxNqfoKEziDThorRSrto34dSr9dFXtcDqmLZ6ORexgeUwHMnzjPCfLKzKwE5oKYBVSPilImSQodlmqEi6OYJMheoRlSNjTRJRVBih9oJ4lgQl2KkTpZ4sHUUZ/ZgqiaUwARCLXxNmSc7tzJ9GSSUhWQvWoiYqBpRlL2x3TIxwK7SPqcldbf2OaDNM7Vpx3W9mG+k3scNAFWQEwP2YFqycc4I8+qDaQhYpgVZwlWAu24e+1kukOWRazJtWoJ8/pc1IaRpwjhGFAkI04g0PxPJlWdISJRC0biWU4O0SjC1RoBlGlAgKOOCNJ+AElFSDwGQ8wnIM8qcMF4mBrkma5PmmVBkRNQaEccZsjxB0oxx7JFjRBkLurkgzgviclrtYBDUGahdhzDT9wA6zONicOpNW5kq4pQRpwfbuxU1JCzThOUS2Ws4PwFVkceMqpE6x7UizAvXKrDuE9c4s89eNuzKy8MHzI8Z8VmxqGAWBrnpDPbIPivqqMhTRbpUzDFieUgkXXtU6KyY9wFLr5BFUJ95RI7njHrJWBBRa8ASA+YnViqnU0E5V3hFcn5OyB+4FuSRr3F465IUuTMG0IeIkIH5SVDPiqUX5L4A54DlCVAR5IeCIAuW5x3mk+2vkQHVHAR1hxYUlRGQ0ybIFWARAfOeiiwkiVoeAnSrpxvBdV8IrYYAcyd08YsiZ23rXQqAZwtyh4LUjSiPe8wnvi9/EH7PTEWO+TFgPj2hzgnT0x45KopBhGsGstmIJsf3LNCTQi8KHQvmPmJ+Cqizop4YqC67CjlMWJ52mC4jwpwxP2XMvQfIrI5XgwOXRqbH3tglCPKhIGTeH54VpWhLkgGAJsGs1AqeO45fPQvwBJQJyB0JpeanADxtglwLu2oAMhR1AknAptoI0OIsmJ8E+qyQpwo8FSwxYX4MjZQMwveXRTE/BixPBeXCdsPyEsH14hK9KvX85muaJkyb/qx/+A//If7u3/27f5W3/u763fW763fX767fXb+7fnf97vrd9bvrd9fvrt9d/1KuP/7jP8bf+Tt/5zf+/q9cyf13/91/F3//7//9b/37f//7/1OkgbAiWRboODMrtyPsTC1DJzmTjdR6cQG0LD1JaNZsrEPY1HtFk5EYzazSqrFNytBdw99ESGIhQviREclozoQt3RxYmZznxmzZekBfxvovMoytZ8UqBA0S4llJ1za1S3cD9GbPKt9lZq+S9cg2uF8IwH4g5Mn7OvoO2hlj9GSM011iH49//pKh5wuf87jnM3ilsq7ZQs/ce6ZdUgSMlEE3jLLsi5qhz+cX1RaDm93cQG+PhKp9eNxUfAE57EmIsRkT7wvUEAijmjPnoxDao6XyXqxXSx0Sa3B03e+gQ0I4jdDHZxKHvb4jhOQ8cS352G8vX29D3zRNw+l89b2tErMfUO5IGhbGuVWy/+zdf4A///DH31rn/9br/zHirCsEz6a9SUpZHxOheAFbGLF6lb/vCeMshVXE+t35pdYL6NA8q1RTPoUVrjpxL4SbA3U+N/DU9jmXC3QpkD4RqmooAM7tpnxjnysDWQN1Gq0yaj3kMVpf4ovx9rViEO7Wt/v8jDrOCLsecjiyYlBZ1VEbZ4nWx9+qshvYdTaW3RiBfuD75tlg1GhQ6DDYc2/6Gq+uGCH7A2GMNgcIBjUvFXrhehcj1mnzse2t9WvznOKQz4nEOISbKtdAZ3qrXuXzufNxdngxQAh8LoTx9b0959Lu8wqxEiNhwIARXpUVPZxiI8PyqiXJgqxq68nJDfT7z6b/FD/L/+hbQ/Zvvf530N3dQ7sOshi0355DHM5pfa06EZqst0fuK7O5ut9B9z3790aSbKnNtfiaCmG1cxeDTrpNMJIzxADds8VF5pk21udhW3X1e/J5sme8urxCmSLtVVXINBlRU11tkrdAOGLF0BDSJWthqLSTtbLlIwT2QPb9+l2q6/mzH1AP+ytN2jZxKdq5mXkvVdc2kHnhHtj2xb+8YuD7G3Tb3u92fVuVBVoFVh3erobUKBU6zrRJXdd6v1sF2GHGfnUJOvTsJXw6AyVDjod2DkA3CgT+/hcILLV10fbUcQc92Hnpv9u0P7V7dlUE410g2Q8RKQ114nsvBPzZ+3+AP3//D741dP+tv/O/xO4Cwkq3Y2zvL8cetY+I54zwfOG69flz1JU/y2GP5aM9UIHu18+QaUK9O7InNVdqofsVgLrvUHYJ3cOE8NU73u9+4LM4VFsI8dSOLMsapFVZ1VqowlKRnmdWXGpdFRkm7pV6PkO6DvXH30PdJ6SvH6G/fsue9xv6bHqzhya5/oxcoEPC8npPNuVzpuSQXVIKwhPPVT3uqfXs7+sSym3fWIUBIJ5myGmkf7BkIAaUT16h9BHpaUJ4vkC7jlrN9ty+/tTssp882xNTAJI2XWborsPyeocaWUUPc6ECw/kCTQn1jmdb+HAmcendDfLdgNqT+R4VGN6NZDo2uTkdOjIwB7Txj5eMsGzO2SAo1kNMXxcIU0GcMlBAG6hku9boOsYZ2iVUIwaLz3ObNx1nnvFm0/SwJ5lUCkbwE1D7iDAXdF9+gF4myK7Hnz7+R9/pt/zt/+H/GvmTI/VlrU+y6Tor4bhxsh7bcyUZ0IEw0SY7t70UTXe2duvvu2fg+FVF6QRPPxaUozFJV6B/J7j5vBB58MzxGF93yHuyKM+vCC2++WVBKIrHnyTMrwixDTO1eN/8kxOkVDz/5Ij5xtmKFd2pYvcVK3rL/YCyC3j4/Q7nH5B06fYvKuKsSBcyty83CWXH/uHlII25WBSYbwi77p8Uuw8F4+uId/9Ghe4L+i87pGeyJg+PFXkwLVshDDjOitJLk+EqPce3fyQLtWuIu1QXAMTZqpRYx3plqAYgiv6B+vPLUbC8UoTJybHIjFx2wO0vKu7++SPKvsP5+zuUQTC9Cqg9sP91xeGrBbULyIeAvBd8+GlAflURJlaCuyfB8VfUaR4/oqRRd0KTOY0LRQadQbvs+P8u61Q73gsAHL+s6J8qysAxlgqkkevq4Q8i8q3i9T9V3P8n77B8csT7v7ZDTXzGUGB61IS9x0kNUl0RMpAP0hRZVIAyj/jH/6f/Lf7oj/7oW+t+e/0XruQ+Pj7ixz/+Mf7ej/7nSP2BPblO5uMQLesl0sBeUzh7rZMBTfN1j+oWDuuBpTP6GiTo6toe5FtolxFINFIr77cJLxzX7eH20iny17thFmFfaYrs/TRm1ub8xe/4nMbU6EF9Xtk7vXduQzTT5Ir8IF/yteTEyz4tYHWKSlnhf/5+dy6MvVWGns+g2uQM0LGnTsaZfXdBWl8cHe4CORwYsOcCeT6vUFNVyM2RyYNsDi2wBtDu8FiQefW8u2FltL2MdtDvGhPplbOy6bWT87iyePqz23yR0EpawNqkOV6QuDRHYtsrZeunakatvNdcZ/z7v/w/AAD+B3f/E8T6G5xNvxrML1zBn9V6uaXv6Sg3eF/9dmC1/bem+cyePYmx9Qc2AqpNgCnb9a0KPV8YHHbdCp32y76D0HdKGMlu2ETv4PwvS+v5bEGOv2bbgyqh9SLrOELnGWEYgP2GuKgUBnaebHBtyC5dB5Vb1uBtn7aNWYM3OlvxyKCvJRncdmxZh30dbFil9XKBqvI+Y2xj3xIGImuvtfc8/uddPq4W3Erf8xm+KwmxDfg9WbftH3XiJJt7sYAP88I1tUl++HNf9Uw3mOyGmMmCM0VFDRznrDP+nw//FwDA3/vB/wwpDJt1Z3Pla8OY7eUli+426NwmD81eqQdf29f7Ht0mCLcBmf99C0/3sdtAZpts1DYAdtu3hRZvYZIitFMxrPa8I7MsAJOLq+szJZLmQbVJOLXPMsmy9eaUfb85r/342+doa3ENlhrk0gmynA06BiZOVFdyJz9vXp5fTion0j6j9bp7+8jmHr/rfZoi19KSgTOdx5aMai0Gm0SN8QZckQ9uE8PAVaLZA1Lvm5XjYe3X3cpMAStxlN9vDOscmMTYVmqpnX991/Sya5lRM2WVcp3x73/9fwQA/Nv/1f8VupJWyZnt2ASyXDv5UFMmWPJ6ltVqcn0MzpbXlJRKz+zXVZPNQd1oOv4mV6sownm6Sh63wD4K6pB4Bortgarsk62VJEQ+XpukqUwz+5glQF6/In+FcZioB1Gb9+iQmDCpFZTVAeqO/cLxaWISxZMyRmoJVdSbA3Sg1KAsxYLyvt2nqJIR+TLzzN11JJfa2VmtCijY+3yiZGO+P0CN0VrmDA2hEWmFC5M55YYM1fF5Rnw4QVNEvd2ZZBrJsIKzFquNvck5Sa1kOT5SmaNJOb6YH6m6kULj+7Q3VYgxI5wu0Bigx91ahFCF9gllx7OJ86TNx5BMrWTtIgNokHyrrbOtvyLC8TIViq1GsuQKeffA/Xd/h7JPqKiUrCwT/l//6f8eAPA3/xf/O+Bu1wJSDTA9VVt6O1BK6EEwvFcjBCKc1TVVPViVwsCjMVILIam1w0rAVIDOiKfynsEdyYVsno2kKc4MoMj0LIgTcPiyUmfd4OPjRxGXjwPSRXH8kgR306tAyZ7EgD1dgP3bQvmujkmR8VXAcut2w75vWoNuUfaRLgeTdxq1kWvlHdA/AvtvqrErC+pGl3Z4D+zeVkyvAh7/WkUdKmQJ/I4L2YnjBPQfFBBLBvQkcopG4uWaxK4TnvcMVptEk/+5uboTZYw0AGUvxuZMiPXh64rjL06Y7we8/xsDe3uPQO05r/2D7XHByoTs3Zlg//PuvbFB3ws0CYLNj887ZdJs7JxBWe3vHVm3NRhhld2XFPZjT6/BzkL7vv49sHvvviNh88OHgpAVjz/pcP7MxvCR30nZKbUAmCzMw4OiTCP+4f/1f4OHhwfc3d19t23F/x+V3GEYMAzDd/9y64S8cLRZ4UNz3La9fC5LgvQdxr9WoPIOJaMdnNoYEMUkZMrqDG6N1O2Rh51XakySgE+dIC/vFbg6JHRIq16gZ3C9sqzaDndohUqgE7jN7uYMvYx0Tg/7NUjzANfYJnWkFqH03eoItoMuQoNCptLIfDQbw3Dfrb03AGQxBynxQJSqQNS1Mu7OTwjrWOQMORoRVbE+ZURjYTWCm5daminR2G8kXsgYWJuj4P1JTZLF14I9EwCyOPYdSSXGkf9+c+C4LCMTIruhOZ2NmdrYZsWq/b7uuC6CMVdmyOmyzlfYpCQ9+ZELpZ3auuX4BESE6E7dGtSqk0Jt1oxsHDkPWHztqq+XzbO7BizXkoAEUOxpE8j6b2HzGmDlmglbJutrpl2RtJIlufMd4yb58iJw9u8AuB4ASElXwarEAi2hOZ5qLK9XlwedYo4y6uqEe+B1ZRKUvYkSWkWWAfRm774MUIH12UqBRIXLXmmttIIelPp3++tdosntT2HPp7b+vU2SoazBqS7sPRTZWeW3rHPsgaSxFTMZFy3xUNZklM9Z1131wLYg1tfItscxRra7L5lraBtYbMdHwxrg+hy2ANGSJXZSrj2sFU52FVJPXUbgap279NaW9RchmS0SyKjm8KZVo9wTZm7bvRffk53byyTOyNLqgah7TL5uVzvb7MdGSq4FPG5Ty2hB4yYg2jIZV5i0R2iSZogROO5Rd4n6skZc1b6j1pWJuFYL/iwgtaCq6bhuk6zbOQqB62+xvdgk2ooFuhagpUjyRvHPLK2fVVU2RE5WdXWWZABtc5nz255fdU2o2nmp9rvGsbA97zwx6RJ0FlQDMKmrsD7j9ndOELksrfreUEqOkHDCxhAAuUZvaN+xKvx8bklWmCyb+FnYkqreg67rv/keqKv8kwYjL1syQhEE6elj1M15ORcjzJSVLdjHEWDA4YHGEIHCJJ+aFrHOC5NzjjgTrovaR0gi2kYKSV2qj53SWRPTktZ9h+WO1d4wZ+o4b5LkEgJb9BdTlrC9Lksx4qvN/vDLpPkcgYOqJFFbMnQ/kFzKn7MowjS2ZIH2Yjae9xAm83ummXu874CdXO91kxQiK5Je2SnZ2ldLQpebgf33nmMZImpHqbX4fiGhpEn+xIspVPSJbNdVV335mwG1C9ySC7Wfw8WZnhNqT51j2UWEXBFPhhIbyN9Se7NniyIamVbZd02aSAWIY0E6m/zSs3GYvLqBdgN9o+dzO4/F/CqpivLquGqTJ5MumjJ9NPOXNNrYvVwz2gG2HtReS19MOQ82lpLLKpsZI7A3abwokA03yPSxQvaKbSk8LADO/IflRlFu6MMG69XMezQGYQ0KySbRlIGQWfXvzgxmFgtka8fAKo7A4WcZ3eOC8ZMB821A3m/YmYWB0+4bIFpfpgeQHljvvzghvn2C/I1PMb7uSVB1y0CyJt53MaKr2gFSIkLRxtKbRhInLUfB5WMBBIgTyY3S2aqPEY3UqPb+mUDZKcpkTNFgFbkmVpvLjvtZlN+rb2YM+wVq5+z8bgfRiDAL+melVviPFMudYnhr5FaLrsGuHdFltwadfk/+LHkP1EHRPwmOX2XkfcDTXUTpSRLlhFmuUT7fkbyq7NXkfdAqqiEzlhresw/dWY7jvCYh4iTUWa5oVebmOi9qjPRiMkC8X6l2xgqQDwyk40jW7nwALj/MQAC6dxHpLFhugeWGDN/HLyvSWNE/LCST+34H7QC1ABs+1kFYgR+AOAq6S0EYXxQmf8P1W7MrIxegq+uh+9Kp8csdD3eOsHHkPGMbNplaJ4gx58Z1yQBYpQ/A/eHqK6RUGmbLpmkKkIPB5hZWIdtBvMlat/v2CqfD6fq0ZsyDoN7sUFOAHHvIJ69ahg8pYL7fNYKBsNRV62xbxdxWJh0u5pn8nUkE+BVWAXVZdk0+iAdAQr41CNMmIwMApQ/IOy7q/onZkXgx2n/wtWGpZGE27T3tkrFfD/YdoY2nuKPqB76zSe8Hk0MwCPGWCdCrAvuBh+YmANYu0bgblLmGvVHrRxTL4IZDv7lfcyj9+28OgO4bDB4xMOtuzojGgPrJAaX/CJoEeWf6bcb0JgXUJ5squiceSp7NTU+TwaGLsZ6uhDxX68wrVdsqqv9yW930Q37L1Lt14OxHNpWmtjY2AQIPRToDddgS+YAyBuOyJjw2lX8JAZKHa5Kn7f4Uoc5p361w2Bihx1XjU4AmKaEpYLnpCWEbSxOxl/N0XTXvrGrgDi/QqlFhGBgMOnNz4Py1BIyjN0xrsOyZyc77aEyfll13BtGidliSJRUTM+7N+XOirC3bt/204G8YOAZeRVOrwAJNt3bVILb53gadLWHWtb+3BEiMK/sw0IIM2QYM22qVV4l6EqVoLpCFGuRyPFg1pOfnDsYC20XkY+I67y3hYw51mBTd04IwF8QPZxLHjFPTRb2qMAJwSKh4CwTQAlyIAIc9GVKd0bPIihzxy21BDGwfaXDTzTB0kfZVpEH5vOpVU4CakyhZrwIEBg+eTOK/6a6/SnjBgzuYrd2ObwhEDYVg3xuQP76FfnaH2keUfWiMue07qiLOFWEshJ/OmdUuf+6XZE3m0LcKqcNPnTV9U012p7cOBnlMdHwdklqjoA7G9PmUEZZq2X4yzMbnqY0nRNbgLBfI0hkKJqxzu636+fr0gNxfZwQ5Mgx2Fq72iUF54phv1jTksI6/jbvfkyys0qqxFku2CrXqKn1z2K1JAPucatXFukuoQzQnLsL1OOm8mgbjqOgeZu6tSnsePKB3m7qtdF5myJDWZ/K59ASWKrQAMKdaxWy8qUKIKQZon4BEPUexIE+DvQ4w4pXQzhioIL/pUAbauGJzW4bIymNefR8o10DZxbVykytCpH0RVcBkZbZ7CwB03wM/+oz3Y/df7nrkfULtBHnP8U/j3UqIBMClRqQo4sIqZjKpJd31qAci7qTzZDX/rPsEvemhifq+AFY26WMHyYqyj5ju01UVymGN8U1C+tRYzKMHYBEhEwYejAgnGeIh3/bI+4g4dQjWglWPgzFQw/YJAxxUcM9WQPcd7YuAhJylNl8jzGw7cX1eREE5DhznW2vlsWSZyg5RXjNIPfBMFD97UriGd6v7fIIaeMZz7g1NtvfEsznzvWA5BkJbe66h4VHRP3F9OPQ2jnfA9t4tKtGywuPjWRBU+NnCmwkzpYFQgd03gvoQGfhuLqlAPAOoDHBXmReyiM83TEzGSdEb0VBeON4fftoB6Ewzlay48ycLZAq4+fPI4GcvWI4RISt2b7kW+OzA+OkB6XbA9DoxiFWXIAKmN6y2hgUIE9frcgMAK1ycpEf8bu2AGhXzKwBB0T0EyidtubqO69pPF1t7t2J+I1bppIXfff4s8B5+3WNJPZxgrb8Ix3thYFmd904UZUe94LAIknPOWqDYlCo9uK1W9a1AvMB8YODh9zs4N26cKZe0HGk78v5AiR7wPuNsdsueIU4kGxMjzSq9IB+ZKOielGMSCMEuOyDMHOPuWXF4X6BRMN6HJuED+HoCahR7TvOvM/8/7zkfw68TNChC9vkxxMANcPmeQJaIw1cHxIvi9CPB+CllVGui1JKPhWTC4jUCjz9JKNNfLXz9rYNcXRagK0BnjsSL6lX7/80B4r0Xcatnao6B7jzbTUe97jvUIWG563H5mKuyf64Ii2I5UC8KoBEPRdE/sq/k5UTEqaL/yqqL7ohYoKUhMFtbFbEqs/pdYqAsAAJ7TPJNh5p4QJSBmz/O7EM4fxpRBmYv4sRsUv+0R5grKfTn3OBH26sed/DeG2pN0vDWPmG561YYG4DaE6qR94LJFpz3AHBjU7C73FRIFuy+7ijafWL2KM6K7lIRJsUggCy1BYaeWJBCKJhkq/o4HMzgWS4BpOawxYcL5MMTH8Z7iszZq8cB5ZCawLlGQT50JAV09rZdgtyQen+5S8y+FgbQcazsgfFMe0W7Xz+ctIvItz2dwY4H3PP3Ei6fWnbxRlGTot5YMuaUEC4B3Slh943d28KNefuLiCEzQNLLBbphKby6YqQc1na9p7hW0D2oNymeFtACa4bdYOKu6dfWQxdRdy4kT+O+3ETknVCLzqAzcaKjsPvQI52LPQeDTFkMXjf0dPgnk/7wwNmDaTEIY12z+9olLJ/dIR9iW280xPz+8SOxLKKie1YKkb+3IOp5MthVWcfAJb72Gyh0VeiQUAdKVFQLcmqyLHego7McAsY3PPTnV0DtFWHhIdK05BwmVYHdW8XwWBAnRXpeGqxKFJZJt2TPvDCR4QkUC9rEJcm2lzv4MTDgNdiqAi1z38yc9ZijwfFCgx1ptMCtrgkKD6QcMilLYe9aqZYMYjVKJkIF63EPHSKmTw7Ih4D5JrCP6ABMH/HgqIcKjWTClCUgnQT7rzuki+Lm8x2654zuiw/AOAKwJJ/EzTPE1l96pTlu66PeHVh5cOdwa+89oQCw4thRWsf7yRCkzYH2CeWQUFPAfJcaCS7UDuCdHdiZ40S7SsbvMFeEUulIGoRP+k2grdqcv1YJWZi4anNkQZimgMv3dri8DtQ+NP3A2uMKqtc/KG6+yAiLIj0TxuoQ0jCZtIoH7BbQqgC1j6t0iA3OlZ4oYMk47q/plaz9W2bfy442anibkMZ1ve3eVdz8wqoQ1hcY5tVxl8UDXvvTHO1WfRZLMHmgaYFT02N/EXS2gH3Xo94fLcnEca59alUOBq9i1TKszLLmxMtSkUSw1X3fwkddjqfsmNgbP4qY7gOWG+DyaYUOChwzQldRP/RITxHdg+D4RUKclFqRY0FXrOqaWEW/IqU/XSA1tt/VoSMMdynNVxGASTAJQNA1sbobaKM6apsC4F4QS/C61E2QNt+iQJiZoDh/1mF8wwqfBw+XN9Rg5RqHBe6Eny5HrqX+qSLOFbpUhM2Z7XMHgMy+U0G5G3D5bEcI4cTXTffR7AUhhAAdWUqlsMol5rCHYn6WQUfFfDGH2DabZb/Lh0R91bAGqazEqMkoAcue0FQInXcpQNmzgub9ppKB4R19Fa/cpJNi94F7Px8o+5P31GaNc0LqO2gXsdxRridOFWGuqJ1VTFUp76WKcjug7iKTCUttkGaoIjhM+8A+3BoD6h3PprznZ8Wpcjz3BjcWFhbcxwy276Lbg01QW1NEGUJLpDl8OA9i5ytMCkdw/kmmv9IbSurXA/f/Bdi9TVa5HBAKcPhiQvfNc0s0h43f0j1xLr1KWCPPz3SmTdm9t17IozCwsyCK76XfGAoaKiFbP+b8CtAEHL6gNit9E8F0J3j3bxakVzPyJQFTwPDxBf/dH/8cf/L+U0z/7FPs3isef08wfaQ4/Epw+4sMTcD4KmLZC5ZDApCabqyo2c0IXD6l9M/ui4TDF4rai0nisOKpkfayDjwD44XjGn50xm4/4+mrG+T3qVU2NVIOR4Xaq+mZtn+6X8cMAMT6g8teMX3ERMHhi9B8jy2EWyp7allY4ZoqBwa6cRYmooUVV42sxsaRgaxXW7sT56c7M4n/+JOEh79REUfB8ZdM9l8+EeSjYr4HLh+Hdr6EBegfuO+njwTTG0WcCFvm3mEAPr0Clle0a8evuBbHjxX5riKegsUxwO7rCfm2w/u/FrHcKOIoiC9pUMxusCoM1AGtt/b4ORfU9Nqq5QNQjhVyP+Pf+MkvUTXgP/vlD1CeOsS7GffHEeexx+VugMwB/buAOBJO3z8pzp8GPP9+QZ3/Cu1j+JdRyQVWB8egoO3fgJYpZfLZMqa5WoUoULsvhJZx1k22W8r6/u1VOma4lwOhEB7QUlcq8FBVfOvSfYcrjVarFgFA65vwe24HnVAcOkgLPHwhqx1gNKSWxVjWfgN3xAn/iuuzbMcmbgzhBp6p0bL6QRocIu9oSLLBQ7yJ3UkCpFhArGB2V9fN5/0V/C46XyFQOLv1HikAYVCmCZDM7Pe2GiK1QkF4qVcUGizNn88rkRaYAn4P0mBEmhUSrSJnFeky8DCnz22bfhZUBMtMeZYdVomxYNuDnWoOb10Nj48BZYssyHBf2Kol7XO3/YEpAVtNSl+D7ph13946awbeqiQp0bl8mfh5WbH16ofAgj6Tikicq+UQCM1Ja/8LoC3hwqDXKhjCw/tq3W9gzl5V5FrfVJT8GX2eff/YvGnwNbY6Rld77OU+bWvB/twgKJCCVSDtOTs6CZ6kqLa/dRMbXD2PHSaoXPvB7qN2XEOQirBENAF0VWC+tiGcQzrVa5uAL9arB1v/N3z7M7ZQ7IZGMbvSEA1CG1AGR0iEzdrkfMWJOqnSd60Ptn1mdK3v7xgMGwsm49QOVc6p6Is5cgd0O09Wbbl6Bl+P3uO+fV77XNTNOAXh370VQQQSNgEwNsFm4U2xkhFRkzRh+xrXADMfuP/jqAhF0EQUR64/18ukvQK36sa2aviOwfJ/8558g1p+J8EKY5aWAIuzPbOhV1pVdjNmuhlXn3NWha4/3M+QtfIglvmXFhD4D+DBgpjjzWQupS6YNBQlNO5bVxTCXQOgda1Ob+3Btsot23UfrBrt52A1O9aJJfTkCk5Z+3B1DxoFZcf9nS4MJnxcglpSOdtZrN5K8OLQDutZy4CQtt1BMmpnXIM7+jkX10SC33vTxW5j48nY0Ho+0aQGX+wHP8d8zr2VypAEjkDY6uR6sm67HkqfjFSG6x0msSHqNnXNyklFayeQYi0GhhK7Qjf4mHm7iNtXG7vVUV/tenPwZTV57cy0n1C0Vc/qEFEPPVFsFgjSFhkEvtJ2c8w3z+yv2a7lghUKG62/r/e5UwQIyp57wu2dBkHp1vPHz3bvaawDYcbV/CXxHloBNJi05BXcHg2dVAGDCuPq+2qyz0sWgNpZLNX37mZ+Zf1MKQFxrFfJT643W8sKhEVb4hi6+mTun3GchN8ROd4iIIxzscqfCAKU7pXfh7exbBaeB7juL3o/5nJ04iBBKGvFsq1F9T2sVAMs69wS2SINFLIlcspWTaxVIF0FUkXfZ4ylQ6mBvbBGHhTmNYmpuvpt+bj6t82vtsp/WCg7ky6sbi8HPguEvuK6zgQ1KfIrJn1RA8ZL3/pngbWCGi921sxrFdJ/n/c2/hEIRdbKrg21mF+km7O2JkDtTAMAyQJNaj8+R7YXPdA+cC7EgkTA96e25w+ztPhC7EzSxAA5Tuu+auxswipo/546vCS8kgYvrz0LB7WjNBCRqIDMdi71rMbO9z3KLvAcHKXFPi9RpFAGxXExWLfN57puNi5WVKAKvjjdcV1cIiWqckCujC9kZ210ObKoY9VlEpIJdPmOM+87rt8+yPXeOsAgdJbp8wPVoWge7C4F4eEEqEIPO1YyvUrXRZIdANYyuPZzSqbjqhENyjG9oVi0VGlN73kvrVF6W+mJe4HUHeJUKKB+WZv/w1IRT3OrHrfK5kgCCRiRAReHQcem2ioOGgSdaVANDxTJdmiHVOUz9YkVSQvwPViqPRMDHtBKFUgXDIKwcRyEEBEX0dZEI8A+AZD57WQQAXBBpjMrymKGzjdm7ViVZjWC35tGIFifVe0jRA0G5U62HXBynmjThx7irH+vbq7YNN3xgVL0nA44HcrlhtVBzlFA3gUsRxgBAAy2wnvtkmygggGiDruuZKjcd4SpWkYnmEZgd47Iz8wCq9BxjJcVrixVGtSFn0/DkZ5n4OGJwc/xAKkR+MaGP0ZWjUpB6DrUV0c6aMaGe9V/DLSKx9ZpEmPiRRAGyQ5jVF1hUF1A6ZlkWA48aC+fCOY7rIFRBeKOY4gQkHaC7hzQg9WCBo3zaqpVaK/YSc/jyjD+oo9eSkVYuNahYnuJ2cPdOzpXcaHhjaNV9LaQTX+mIEBIfL9VkuvtvhFzlENqyQ8aVWnBvQc9YeYc1V5Qzahtde94z/yDexGIc0TpeHinU+FhbjbET2aNARj2aIiOwD0pF2t38P7yoV/Jbfxnw5YM38tWKfPqYB3i6igFZm/zfq3sNvOpQP9YEL4pkBRQuoGOxpmMm7ShaU2I2BzHAITBe6X4ZwUdAFUgnoMRYdAGtMDQbXFVtP5h3bC/bqr9dehQD12zv6Kg/Zrz1VgCuHp2KZueY7MLrGgGRAGiKsouYbmJKL1VL3uhWPwOKIOi3BbIIujfB4QZ6J8EeVQMj4TrbcfvKuD2vdeJVc3NZois/ZMWhJQde/c8+804jomyMPMM6x+JVohjRXde7SPngfBlrieb2FwhAaj7RPjzEFp/nl8eDHhwnQfa9RrZ6+TkJGJOfZjFeC0ABCDYnNYIPP+wR8iEMoaswFgapFkdVu8emHtj0ftIpSUDxNANDkNXI6wSpc1XVKDvWxuQB7jLbeLeTNKSFF7Nm2/4nLv3gu60nssaFaI9JCvi0wiMVDGI2yRBFNSskCDozhVSA2GAu4AyKHLuoJ0iPQZ0z1znofWxBYSOa6fZ5EWAspYfdDfQVwkB9dAh35rfYkniMFsry1LIiZECysHZcKeVpwNoFWDtIqZPdliOkfYrMeBKExOSl4+CVS05j/kAzK8qpAD9Q4BksrfWiXs1LoWVzQciddJ5abrvTtAYxuv2rLUnNdqziI0nzCcwf0A3rU7Kf+/OrJam0TR/zd+ZXneYXyWkU0H3vBCiO1gSz2CKZbe2SSXrlSv9pgCgiriQTEYjezRrZ/2DgwcyQE2K8ROa9P5BkM4cq+XIIIPIAK6JMPN75o92DMgs4RsWQxXtHRfKKnSbr1xRdhFllxBnJveDEWcBQNkloks2hQE/W0rP58kHPoNUsut6TygU6J8Vwwex85Gf6cncsFSkE6vMy02yM4/z44FuyED3nj5A7cl0HGYxmKfw38E5DHbOOj8ButjOLoDzOr8Blls1VAj7YJdXfu8MnJwoKCwMHiHA+LGs/nRhUOVkQLu33Ce1B06fRuQjML3h3g5TgJYe/adnfPrqGUUFf/7hIzydB9SPWUmMI7D/WtA9mW9UuG5KLzj9UDC9qeieQqtI9o8VGoH+IUEl4Ph5xat//AHTp0fMtwODPe9PjRzv558AP/nXf4VSA37+Z58CTxH9BQgTg/d8ZGB58xespmpg8iGdOQfzK8HlBxW6q0AWJtkyYw1WYtH6RoE1AMt7YPq4WpBJCPPyacbtxyfMc8J87qFjxO6LhDgB48cV5T4jve3Qf5CWCELyxI6ieya0PI7A8KFaIY/2JE5EOhWrasPigxIE+19X7N9mzHcRTz9mL28ZAE3KNXEoyDc8gwGgexaEiUzO+bbiggCNnVWHFcN7MiDXweKPvRW7zLce3gP9E4Nwh5k7IzIJwAxe3lXoKeHXX32KUIC9nQ9jEZxFEbuC+/sTnp736J477H+t6M7UcibUOiDP35X1//b1L6eSC6wOjx326vHpBqqmQRDcIbR+HHeKGOXIWs2MniqR5tx5D6hXMH3CpCp9wEw8uVjmiRlLRbCsVE0CqWsFrVVnX1QrXlaOX2b6G6y3brJbhYY8LNbL0sbF32R/etUBWOFPrcJqmV1z9Et3XSmqybN4uHKWPRvcMrEWyLXfCZrTw/4CMwQbEXdtju/mM6MANawO0fq4rOhmm6dkvY0tq/wdY+jPZ31mEliaIXxBWlLAG9gZrNj7XnzWdu4Ae3ZVyrhs5sedf62AeiZyk/hef6zyX/SKvEs3MM6ry7L/gvqdz7p93RYV0Krc33GpV/ws4NO2Bnydb5I2vr6FqAbJQDSDyN4bwdUdbSq1V7+zKsQ2g+39H44GaJk4H6tNFl2sV8vH8FvXy6qI34M7Y83Zlwal4j5Fo6u/ygJuMpSeSXQoE4AG2/f+GcACbdFvz9E2aA349u+dMdrHaVPxug6ofNB1rQ4m9pN4dUPT2iv/XVcaraLoz6aAyIu+342NIqTUnPqyWQ9GEgKsTqMn/8J3Vcm+69quCSOAgf1VzRn81rUdS3jAZ0GmV71aULfu3ZbM6NbMchlImqE7ssDWjom/mkBuL0etNLsFfOeTiLCivWCdr5eIBb8ntfER4bRD12TSbG0Tc13t23eZBf/s1pdp9i7KWsm1tVrNCeP71rOpVQi+dd7YOvdilH9ccBkPQz0YQWNLKjqC4qU9CPYFv8luAW3+VbH2z26kTGDPV3urAmzQF96L5oyhpWePmAS0VgN+Bq7vwX0IkbVKqqzg0t7Q1gURhEQfI86rE35V0fXPrRWo1t7yUvlgU813QhtRscpsgBZFLAqE0s6u77w269/teI203UEENXNMHKrn8156Rd1XSBGUiyKqIXWKmMMtrGi4nS1OZmX3vyHSaj6VrDBpKLzW2l4jVSyY0XbObNcYiwLc8O6kttcF8xEcfbZBhrhvEpwkFGi2nHvp+vzdrhONtqgLDB2n62cD63pW3nN7tqL8d29xEWmVdZTrtrWV2d3/Li0Y8j0II9DZIim2vCeOZqKMirQgRypQC30NVFJ51C4AqAjWbtb8K7V5MIRBq25tgiWyGBOFoYIVfabra7hWN2diqypf72tP/DQ/NDKYK4IWoHllLE78vuDzsGmVaFVSWyNhMZhzz4CnDBbwBE+m8TaGlPE897jMHXKOQMekhveMOpz/yhf3X3myrzJoUxELtoUkSAslh0Lh1IWszd9zNMQQMyYkSGY1MyzmExYuIj4L7bzbYCmsRornsUTbuKEGhEoCzpeVTPqZvNc6cMDjJdIXsb0qAkisG8QrXx+GgtolK3TRfoj7LcLzKV1YfXefKyzmJ09MpIkCeVr3DYsRSgmwQ2h7tHa6Miyrz7Vc+cYAn7d2iuWWRaF0Wf1Bj8HqmjuCoxlq1Ku90qSmNv4bAm1Csh7mlmjJQMkBISpiUNq/ioaM8PbNOAn0NyhHvrx+6yBXhg48cdQqkpYZtgCgWnY/XhbEE6V86p0RqLj2V0Q7lFv/aReZlepDg9TGmb8ru2A02YpypN6TVB4Mc8/B6p6l9X3EiZPtjnk5pMauF6w/qTHcGZx5S45ESFBFHCsDp6m2z9IYrxAihCNRNy7Y4RRG63G1Cqcmn+V1h5Q+tEoWobuC8Q2Nd7rYhhM7RDjAFugKnb8OGN9wAZcdUM0bcmgH9ayUFa4szVCthtYOhFob26R2EXVI7O1aChCAemdEENPC6twG+ue9SPCDr4/N0a9OsgBu2OluhbaI0gaMH/FQderysACNzzsA0GD6heZ4G72/9+yKBWhb2nHPWNcOaOQLMGjKvGZfVcD7filbYVedZsS0a4REYdr0uAZbKwbbl1LX3j//nEpYLKdMCIsOAdJFgyWt4+WkCJ4AaH3XSaGdAkXQhdVgQ6TtDRUh9C5ghQMumZUHqQ1B0Kq6fn/2d43stwwzOVdIzb8yTnrPXZwqwlQRXaah1OuKmgW4Uqr1Hu9aNUS7YJl0IjKcHKz9WODjcDnuB3OKkl4lekSZjZZiY1QFCQo4YYMdomWIUOnZhzUbuZNB053xXUo1LVRtGsVQxZW8iJDZ0uVMvHqJwKC27BNqFzDds5pMYog1iHOnYgunV4mQPLCKcqJMiQ7RsqNcUy8ruVAgJa47EtcwUOqeOW7RDo44qpHzkD8gtKrmhjRpa8/Hiba7VkgXUfrdmsQoel3ZtTmn7AXYy1+VlcAu2tgpRAvCVBqyBYFBUR7Y3+1Mjc2B3d6PBzZ+EKo5kMFh+WFde1dvdNuiaw+qs++i41dlRRDqQ4bC8VtKaDaKVSmDiLp9VFbUnLip9d9uqpuE+UXUjv2U81FaAKEBrSdqda7c2UeDw1F+Q5ujx0Cc9i3vhTDD2c6Gos2W1z6gdispVCgVUSld1zyPbyV0lD2rPQn8WvBpe7k6yZSfcV3EctuhdoL5yERE3hGJUawXC7Le93RPFEO6AN2pEvo98nvLoYcMRHv8piQCP1/sLAR0AroTF8taZfLAwXgx5soKLEAm6FqBeu0VMcCNFrxfJ1OrtRbk0iEsve1b8xV2HcTRKLvI9WxBclgqdu+rEWQxibwcVxsOIaNtHei79K9H5CWinnbwg4hkO0x+Uds0WeVGES5ECeR9MmevAwoZgmUpQJ/amevrzeGPAP8einL8PKA0Z3TZC/qqFgBbL20Eumf2OHuPuXYB+RgbT0ONXJP5sNphgAyq7exyhELl/+fjuu4B2vW8SVBK5jmQD/RdullXqGKmk172EWGuSBcyEYdMe0ZlibAWDRRE6QUAQl6UsFR0ljRwlErtrT0jSAt6aqIfFTLnZrpncFv2rIQBwHIHoNL2xsnmbgoGf/X9SRtSdhHz6x6oICLlQj+kdoL5NmC+gWmE2pnxEVADEM+saseJgUBcrEfb+o/beet2eTPfu18rdt9wH44f21lriYTl4wwZCvChw/AukpDbyH2mjyrw0YTw8x2OX+i6zwqQJgbs9V6wHFiRr0MFokKGAgmKkgN+8fYeeUkolwjkgKgC7YDLZ1aZfR+QjYMkG3fd4VeKuz8DNBpB0U7wzX85AcIqa/+BPcQP/5WPyA480T/Oe7lqcUon4E/+3z+x89BQAMtaqZVMP3J6zar87i0RMd4+Egqw/xU5FaaPCvRYICdBepY16SArmrImIHRCu12FftojUZJx6jB/eU/ipkERhCgO3AP1NqNLFcuxYPyY/jmleATLCEjlGb//pqJGrpOX7SzxUpHOwO6d2j4NDYb89Pu7RgJFewrUXhlgfmCVlu1wwPgpZZHCHBCfI+quYvzJDMzc82FhH3DZV2hnkOI5oHuXIAU4/Uhx+rHACRu9RxpgVZtoHLMvFkS3JJMncJeAnAO+Od8BS0C8g6Eg0Ox990ypqb/K9dtXclNcIwcn2NGVNZGZNnO2LxMPUmfB88syhe5EANhkCAnfBBiUtUqPZRE0KX1AywytOHuLtZRGPXgfC8DvTmiZUQA86BRkZATlUrwHh0YjICzsgQhZEabCIDlbf0XcPIsTi9QKga5kKyGw6rnJJvKGwAAyrZWsZU8HmYeUIDrk1e2XJXnUfcmdbbYAaKfkXtkB0qNlb8WzksEquZ5F9H4s64ty2E7ddah9JBnXrFAxdl+1IDcXqz4xU6WdPbcdFLULbbNtoZpS6RAtN+boTZYc2HM+XaRaX6xO0u0HY1WsEO9DdcKbYnJOldk9VdtoAShqmVtzpFsFbOsce/XsOyqQumSgk5WdeAv1FWnZMykFKmX9dzGCFQvSvYFUcuE8bIJCtUyiZ+O3xGII1tOxK0AOqCMbVhw+zx4jMecktHUlqKxm1euKDueIAa1Di50YTaoa7FIQ/bXK/nTo6ngzwN0EOy972TZyO7ozOF0XGozXK9UuWeBVXe7rTdAb1qx/7S0T6XmiAugkbRt5LxFaWtLGtgut7UqLQFRWCZuriqklCKpgy1S9LgRfb8YMbCy9NVGfsexor5YDA7jljuLmNWkj0YhnuVp7YWYwlKZqPS9MQmjHzUJ41MYJr8bgvlRmNAOdIq+SAczGtyx9NmfLfgCgyYvUDVQZABYLiKwSolbNCyKQCFQPHgP7z1am6Epma7cJvh9U2Q+6qQBv1zfXts+9rx1PJWNFp1gyzrPFzOHJ+tq/7PIANxdyDdRK21cqJAoDIg0QY+IEsGr9+Z8Gx5eqjUWVEFGvPkhjlq1W4dRIZ6nsBd4aoUK7Vzu2Z3ANodkmD/hrz4o274FnY61qFQTuke4EyHlNlqB6NWJ7lgay8aolRKzaxzXOsfD9cTVeVk0lKSJbKZy5WNMKZS29WMXHUDk7YLmrQDVHrfj6p+3wHsD2VcakHabCZMmLJQD4/reKhsWpDOpX+9ACOQtGw2yVW9+7Lje0vSwh61XarQ1qyKUKyGC6kaWy2thFqDJgKfvYEjZSgf03C+JYkPcueUIkzmrbbW6PFeG44LifMMYOUzdAMol2nJdAo9tlfk46B2tpCPx81dajHacC107XlqTwZJqdOQZ78J5bLiYLdluCZS00eGInXsjiXXcdyqFjMs8g6t5PXwa+X+Kaqyg767k1Ukwi61iMILHaOsn0W0xSZvYAnW0qTa/T7jsY2Zx2FhDP9Tpv4/5nS1Z7sgsrWkpha0TXKpGhcNqzVxszH8fA8yffKMqgqLvKMYxqr2H2tQyC0jEojl1AgKltLBV5H7EcWLAJjxWoiq4qauSYBrcVhfDicC+oygDf5WKcCCqOFWm0BLP7LK4e4EMhQH9iUlpDtH5XRYFAe0U8Lri7ueB9vkU5ETIPs0f1UHB7O2LCDv3jpipuiEVHZNSB94qoQFfR7TJirJinDnlK0DlAphV5oAEoNwXhkDHrgHRh0JYPRGvc/bzi+PmI+b7H+DoiHwTjZyyyHI2dufbA+RCsVxUIFc2u+hVn4PA5iwbzKwbMLVA36SJNlpQDsHvHgFmtbQRKgk0SX3LdEt2zWbPNP6F/pEFbX6y/Np2VLMkg18T8imO2vCpAVxF3BSFWoK/IR7Vz3IpdPZEwYWG1tvQB51vnzFn3KH2BivRE/ep8O6D2EefPukZS6wkfT6iGWdA/otmXsgPqXUbcZ9S3A+JZUI6K4/0FyxKx5D37Zg8FMlTEvqDrCqZAh00qML8pwL4AU0QYA33WvRlnYaW6ScaaD1cTDNlpPkA1aPhCP6nsOKaOzk0nnn0Y8Ve6fvsgNxeg60HJm2QwDVw5NZKVTubNATAon0NfGFxh7fnyQLSLZuxD67UACM90p8hhGGIZ7m3TfFi4CFDdeaATUkXWzHym8fmu3hZnRhVzKIHSKnTtsI+CsGzJkoB0IYkMgOaU6tBBOwsElgLto8kjSGOUXY6xwRkdKlIT4L07tV8hQd6w3n7XWXCLjaMI8+8rGnQsLED0asJOIJ03h1um5Xnm4WH9K8wUmybfkiFIzVGr+w7SxcZaKn0HNQ1Elw4AOO6lD1j24QqiNL0BpjcFmhTolJWZZGvmqUO4cJIlk1F0HxhUqZDhcEtS4kFdY6iulu0VATKukhA+PHFkD9LWgVZBkxdphEV2hf3AKq4Htl7B9uq8H6gpAH1aK6jbIEqkkblItsO2MKAMlljAPhLmZ3PHnjwgTEwkmLTu5sBBc/acuCuMZQPtteDXSYE28lANeutSUUtm2ticP6mW+FkqurM7f/zOdMmIp8VYXDdeK4AV1sbePvZCEhaY94nkadbDxb4sWatYPlS6JiTWiu4a/GgCdKjm3BvT+YWQpEaKAO7/lVSNY9H6l2wvX11bWLknJl5Crivnv+1vd4pNsooSEGydmF6zt0WHinikpl5eArQIwlNCvDAAiRMTeum8zs+a0LIq1WyEDjHACVVon8iE2QhdgmeqDW47W1+7V93nBTptmMO3tLMxQEKCSl1hT5YZFkdNbGGA9vwSAquB1r8s7ogawctLYj2A6BpAWuDSSHCKQK0HCvC1bVCyygNOPZmI0ObYK3NSK+XbfN6c1LBLaHC+Ctr+XNlr2cH6Jy1hlt3+OSmYoOwSQqlIY4bLxwWrsldjhpWk/PjEdVD61ea59iKfkbee92gHfQt27U8ATOIOdP7DKERn+DI0tIeKIO2CnUc2z27Xsp1tDhsHINH3wGrjvC+9JX1FyGQvsvYr+joPa4DrDKjTa2C5rag3BcePz1AFprHHkgV47BAvTHaGheup94SbBR8AWgXZq+IcJyIROqmNGGXbwtPgk67jWTbtE8U0vE1Xfgvv1V1nKKAFoYsIJtPjHxrKeoYhrOtZom8XaUlqqboJxDimcazow8qajUJmeFE6l3UKqNrhfb5hhct4M9Ye8zWwg1WomeynjyWqaNwjnsAPfO5QFBWUadIrPCUa4RRJlGD9zmgHY3AbUxXdI5EZ8TRDptxkg9ZFjA1s0doy4iq/kvdEHokjjrBJUNp+r3uFDoUVm+e4Jmxapeo66Fj2wYJ6Q+Y1RMX6DBoDJNGOe9Jzud+1e76SCAPa+ewtS4RMk9h0ure2in6tdJXXGRIrYleRUsH9zQUiii/rRwjZgrI3gX3Oz04IaSSfm4RK7UNLOrag2voxnd29ewTSmc+33FiP58g13uSalM8ULwtkGiEb6cM4K+Ybgd5FEjQpP6P/QP/jlAZ8yAGYgtlUNMWS/quE89Mr3Hwl6J8zkSl7IpZO37fz7Y1iuS+QKaD/NSV/9CcLulQwjR10Cog3GR//6Amnqcflz+4gEw91sWRe3qMl88LCtbTc9Y3RWopi+CZCI6HO48dMoMWJSZ5yu/oNjYvmYrJGO64BRzix79sQJwcfI66t5x8Knn6SkEYgWTU7H9fCGcZI9us3igYdF5DVOSlws2B3M2E89YhfDA1tI5V7Iu+BclAsr5gckTkAc0CJSlmhSokhKBMpUoH+kc9fBqvgGhqk8ZJYWwSTbev6Gj/ukHfkRSDTs7FIB098C2qvGD+2uGCk8QlDwX4/43wvWIYERMXl1EMCkD5mpF7PPfQSUR8Tlikg2r3UHoinCFyouRwmS6jYmZWe6efE0RVdmAStUbG8po9E27c54zomBCGK+JjQnbjuxo8EZbr2J37T9S8nyO3pvJNSn4ZQPJsMbmDtIsorc7Q3h4PDSxwiK5mBTJCV4W7Zr3Av71NtvQplZfFips9x+4arb5l/ZkHC4k3RoAi7a32aDI5+dE+t3gafLpDLzINrCutBL4IQBGEyYi0LrtMTYdlOrgOhcwRVBgUzD4syhJXMKvliXJkz/dDQqNYvggbVDNmCngAsN7XRpYfFT0lg21PJJnT+s7OwLYcN5ELFHE6wD28gIVC82P1OGTLNzDPUHkiCYoFwehwRTpkVLavgssJKj8qrGc4OXGzDTR8XpI8vuL+94K+//jWCVDzOe8w14mdv3+DyNGBMxBiniyCUDulSkc7F4JrmaMuafXVYLeAZf23JiNoBBdKSKmkEhscCrwzxTUIyElXKyWwyorI/AKljMGhsvGoswa1HbdsLM2eE8wjU2hx/ygYZMY9XnyurA5iAaJUzx+v5oRdnPmcZLABTuXaELEOdd4KEYIHo5hB39vJtlXoT4LLsX/i2GAz2HSAdK/tR1+y5OxLxeUZ4ntDg2UHoSPoYBKxjtOnly4eAZW/Z7gEWENoa3ZNMJ85mdLEJdI2KX/0fIyshqoIiQF0EkkPr9WHlc4Xj+6VBSJgGQGK0Ph97wbby7AGRj2NDUjAh8y3IZ7CEzsB9vNwYpO1Nxu7NiNvDiJ/cvUcQRVXBXBP+6RefYvmwA0ABeU1AeTTUyvyiJ9fkfCQESJ/gbLSNdbJU1OhkZYSThQVNiiQstHVhLsA4oZ4uENPHvn6OAEiCxA0ax5w+RErUhLzRoLTeSoVAI48TmQoTPCmixsSqrvd7B3cy1z1aMtiDvF3T2aoKNv95D8iwZtEh3O8iyt2SCxvTrd1Ens6AKvS4X7W5nTxvKQwSLotVhKjB6rAvsUoKHcKMMGWUfUe24JmHptQKLMqgMykLo/75Nl5556zJNJvzK66h7tHYLhOggwfA2p4VoN2HWJBwyNAi0NyZc8MMkDP1hgjkSSjpvhjCIrNVQLJJiPkaF4GG7zj2fb9Ws92R5EKoAExn3snxqtv0waCbAzB/XJDejPj+6yf8Nz/9cwDAV9MtzrnHP3/7CZ6fdpjC0JI4DWq3SWx7YrkxXtvv46XY/pBGxlgGBj7B1kzjCLAqV2udqAWQnpq2myC37Dt0pwq5TIhdRNnb2tV13r3FyBM0DdLsc+QfZ8GjVwWlKs+pRSE1YjnQnscJUGMo1QhgjMDjGjh6f/jKq7EGP7CgJseI1pNq0OKwSdRJocQWusDKquga2Fny1+cvqKJ7LkhjaeOlRnoZ5oruw9gIyVArZNfhZc+4t5Z4Ur7sFPObasnrCokKPHSID9IQOSucSKC7jN3dhPFhQDqzGlR2K1LH14omQQncF1JZ2Qoz/UdvNfKzX1OA+r9XhQ4R831iMmjD9N3G3c9/Q0owIGWi8vKZOeo7Qiu7zy74wf0TigpKDTj2M/7rH/0MXSj4Pz/8bZSnY6tA106AL8z/3fb+iu/5AIlrG52TV3lSzyuJUkDyydcWuL/n/JPYCwC4JsKcSVa4rEFuWBTzkcSVvr7iBNx8bvDpIWIqguD+ZWccKRk4/orB0O5dQfecsRwS6i3hyU9/WKGvZ6Qh42bIeP7yBocvEvIOGH8UsO8XPNU9ZAo4fjbi3/m9/xD/7Pw9/Ht/8W+iexIs4NrUriIfCEV1EqzSM6Bz2xkWYP+1kbd9qpj3iuEt2x/qAMy3fNY0ArIAu/cVOyNbOn8WoRXoR08UOfKEbQMhA9033BsP/1rGmx9+wLvP73HzLxI0AfM9JShFgXAJqPuK8qrQliy2GQL32I+//w7/9vf+BP+PL/86vvnn30d3YiCOyoB6/KRCdwX9/YSSI/CrHeIEzLsAPYhVMLnulztDU37JwlLeBYwfWSXzAriyBHv7ScYrFSh7toA9f5+Sa36mlJ0SYaPA8C4izISjl/sMeU7YTUwCDLsFrw8X7LqM+TbifB6QP/TAruKPfv9r3PUj/uGf/wTyLqH/ELD/mlJfpx/wrOqeApGYRmJWO0Ge+dndyQo2M+H2TjapB0F8M+H1qxPePRxRHnuo9SNrpzh+esK+X/CN3iNOTDQsd0DdyOn9ZddvHeTqpiIk3s+5cc6cbORb5B8vP8eza2qQrFrbgbUeIPw8MUKhOAkgYT0QCjM8UtCquGt2Fc24NCfGrxBYwQMsG2rOtDfDd+ka5uXBggfyXtnwDLI9rzuDjdE0BWiNcHpt9dcKWva+mqFmP6aRTOhVPpbZ/o6Of4NYRaC2Aw2kNo9MXkv2vsPrjOG2GuhBMYKuxt7nyyuBW/hPy3KzNxGJWVitL+ZZfLwBRIMvDYDuCva7Ba93F/xw/wEAsI8LLqXD++MeqoJxIiPrtpVqPfzEgm67d6swqBOIWPbUJTkArNlbdxIKroJByXWFsPqPX7UApbS2Afbv8HvXNVBbwEsCCzGImMBh/J7MaWPk4xRXyLP3Gjh5EqFrPpj2Vlvv7FNSq2LwuRo0d6kMpqtV2oDr71Zllcv+3gJh76XMta0bhE3QpSvM/+p9lvxpPkyUlgRYGcQ5LjTM5hzZOq+RToyTt7iB3qITyBxoDK3CVaC4fu01W6UvQNi+4/NtM/krgZlcz/mLANdfS3REsODNv5f/X9zhM+hmvMm4vznjk8MJP70hVfcpD7iUDj/fvUbedcag6URMlqzy7/Ufg5e3SlfcVAV87NpzoO1RQvddA9LWWIyrhMzLq1bmWGR16Jt+qtr4e0XWh2X7OcKgDxrb+7QFMgxAgzKZkyZBqYLYc53Hydo1Mm28VB6IrbXAnksTgCKNH6vuNseYBzgpXp1LmshQrahrNTSs997s2Raq2WCMpmFqyYKWCNkE7bA1yD7F0CD3K6EWqxYQoBxgLS2+ptYAt6FyejqAiMpAxdZ9rSB0XLH5sb5K4dw0aSWbD+0i9/8Whl4257W/LgArG3WBLJu+dBuHakoD7Xk7JnNws+DNqxN+cPOAnwzvEKTidTrjXHu8HY+Yl4Sp79u+rD0rcliqxexCcpet72C9rk7edUXQBT/bN4Hg9mqBszeIZmyh+eKorUCegLKz5JL3dSYm+zSx5WZrg9Y+S0tEBI7D1T1YJVIKtS5rEhTrUfN1rtY2tBLssKeTPftK4qosSEu96qu9eswAqJL7JGAN2FgBr/BkEETtWKL0jFoLA5P+GzuXFSHUVpgAwDOiGKeIrvvQ9z8rn3SkWYG0XxQhYsWQRu4LKMzOWxtOCNSDzTf1qtruRGtlp8jGaivGsxI2ZHplZ/dpCCIiDSwZ4H5PBkS8Z9USIl5kccbqIW38B7TkAmBnSVIcdjO+d3xEEEWA4rYb8dPd14hS8ebujK9eDdCTJS0j0VVSImHFeTNu5oPyLPF1bb6E7SsAKAtawNA9UkGjQZab/7baKioBvHDr/Vn8bBRfr87NQmIhl4fxddwCwkFQrEpI1IKgewjIpcdyG6E3gaz+HlAtAaeph+YAUcFl7PAfP/0YX423QFLK8ohSZmgM6B7pz6cLGnNxGUyS6EhfyhEg5aAodwX1kTquNa7BHiuDTPyNH6XGhC1A65l3+wNlwlSqNLiyTAHv390gPUR0J22JhrbPAoCoCD2rCtoDWgV6JrHV+/Mef37+CA+XHaC8t/Ej2qv5dYUeCmQoiLFyq+1rQ4MsY4KM1IOtndsu7qdstqk72X2aRKps2pPmo+8bO5MSLPkNW3eC5dafRdf2DNurIQO6CGoVVBXEUAlI3C3QV4Kuz9jFjCQVISpKT3bq6Q3nPY0CnQSyrOuy2enic8AxiREt2ZMuvOV5CZiWhBAq6q5Al8DCYRac3u1xCnukh4h09qSx/kab+PL67Su588QqUIzAUigZ0xjv1j89QwrgysHkYNCB1gyI0fwTj025CN9cUhSxD1iO0g6ElY2VE7X7hiQr7uy2g1A9QNo4NR4IdRH1I1sBFUCmU1S7ANmyCnqmsAWmdl/KgAJ2j647G8bMau2xt+xcBAY6qqFUQAKySMuslmHdhHlPGAhMJw3gJgyXQJiHwX7U8O06VDpFRSALYabFekXCxN4FtcbvxrxatTlazDoTLhBqXrOoiRAp7z9kQFcbLEu7iPr6iEZaVbFWdnysi7bFvNwC+bbi9uMTfvrmG/z05hv8t2/+BADwrtzgVAfcpQlf3tziH+H7yB9uENyAqs23huu5dIiR6a2SXINrIg+byr8nOkQgWltPTgsuzzP0dKZDGCO8xwkA9HyGRqu+3t2i3JE8Il6WBl2UWlcZFVUjcrJA0uDATXrCA3CDDlJihYd1/7RYz/rGUFfLhj1Lc6oAioZ3JyMXsirUckibakJp61o2ZEvtHrq0ElA14bvaei1lzmjEYjbWHgS3ANk/y6HblqBy4rKrXkVzUpc7IfmEHx6yrkVdpM2jG3wpfIaayEiKVL/VOt0SPtYHB7A3EggNfkiDvwkct0Q8Zg/4ffWqP239DgvqX1byYVnLPXX+ptcVepPx+5++w3/to7/AT3df47+x/zPMCPjn8/fwLt/g7XTEz0XxYb5FeUfZr9LTtnWAJV0qq5Qpsu0h0oFzvelq+nZOzAOsh1soTJjECxM3ahDr2HeQ3YDvunSagaEz7es16HCm0mqVfkJia3MqAQv8bTglhc2+AKGOoo2kTJaCMLuET4fS837TeQ3c27pVHtTBEp55CM3ZqlVR+gFSe/QPC9L7M9923HMPLlbd6E1WpUiD1zPI4b3HqVzB8V1CpiZKzISpoP/mhNZ7LoJGTujbQAT5GFfNyD0z1cudUo/whp7pvOe6C+bUbNdvuWG/Uxoy+iGjlEBiIgEP/xSgY4Qn6RqzcFub5C0IADDz7Kw3A526p6lV5cJsdsBkqqSwB7/ZqC6RB2ITdNYhUfbE4IwagOWVYrkr+PH33uO/8+mf4qe7r/F39j/DTgpuRTEqsGjEH+P38LOnwdYuER0aBN0pkyAqyNrvrRxLJ2PMu9BkKJwR1IMcyr/VFhCvGWoQet93QCmQpxOkrhUuKRX51YAyRCzHiPmWa6o7q/VD0mbkPWXuKDXHqlucMsJitvUM1CFiuUmboE9QI4PjsFQcv8yoUbDcJbLhFyCfhQy9RwuEn9CIyFw7c741PdAPZPcuAyUUFZZoM5tbrHe3VpMNKoqwFKSnCSqCcuyaNB2Zm60SulDizyWnEAy5lhkclzuTVVrqSpxptuCqpxdWzb+vWDV0AblE+hmFKBW2FfD3xaDMoaMd3x8n4Dix9+/DjlqdlvQsmcFOmATHz6UF8PGckY8Jy62hMEbC+qspbnAyOE5xpq2Ko8l+OZFcrgjjDISAcuxIgiRG0rewwlgNUYdO8Xv37/H3Pvon+Cg+44fpPQ5hwQ9iQQXwL37wGf7B8Pv4sy8+hj5T1mi6s17bbxRxzmvSMVsSAsD0piOyLzCAzcbczJ5MaZI9u19UXBUY3FYtCjHyKT3sjDl4tUlxUeiZieWy4/k43YWWuEwnwe4b4PhlQekJta49MN+x0AIEhGzSnoUSSa//Kef/6ccdLp9FdGdppHl46vCcA2SMXOvf7PF/f/xbDKj2BXlPBF0dI3ZvI+7/ReV6Ur5/uguY7gPGN8D0aUE8BRy+sDPh+yP+8NN3+MU3P8TuPSsn54HLsP/A3vnzZ4LlFZ9reMthyDdoPbkA/d/0jj73+GlFTcDum4Duz9l/vH9bMN8GTK+tn7Wv0FQRDhn7/YwuFtwMM8ac8M2HN+jfR5xwi/9g/AMsDwMOlXti+psX3N+fsMf1VbuAy6eKWgLKwwB526N7ChjeA2UvmD8B0FXMt9TH7Z4UN58X2oUjz9n+uSKOitNn0RAHjBsEQPfAin3/oBgeKy4fBQakaU1Eaa8IiUjC7pljc8kRuQakULHvFnxyfMab750RpCKKYqkR+8OEp9uIfK+oP1GUhw73/yghXbTJC6mAnCJY0aPzPXvZXe+3exLc/kVFGQSX7/U4JcWwm3F7HPH0vEe+7Dj3f8o+bG/d4LkqKLPgr3L99pVcb3Z/Wan9DRVbwIOMF86jJ7Y9oLSL+rjWr+twoMKNrVUodm+++ZZkxYW2rzKOHrg5tCWGFrisMMuNAaF/jCatIvjWczXZm6prn+M6OAwG2qG7Qlpb9t2dfK+8Ji6O2oEVkaQvvm/z/7ADRPGt17UX8Ms2f1nvu/X/+OduowYLVlu10avYygZ7QsH8voMFvv7h63hdwdJgQXyn2HUZr/oRr9MZ95GO6aIJARVDWJBCRQgVjRHZfrasdi27HjfP5oGSj631uLVnFXCO7bAQP6x9vqqlql9Wcl9I/2gQ1pLFo2e7irZx4vs4Fq3C+cJxXD/QnGfbyCJ0Qnjw0Snx17WMLzZrvmyyuY5AiMykM2ivUITrVbCtvrZ53zx3tbx/raxy2vM1TeSXfU0tWFyf36tLrSfeq1vRAtiAlvlv3+HrZhP44sUwQ4WU/ZsSy1Wfsr54vX+cbgJ1v+/Wlyjfrgj9pmszr/7cTqjkGV9JFcduxqt0wZv0jDdxwaLAu/gMADikGUOXgbSpZFugvvY/Bs7fRu5kTY5Isx+NOHdr89qPXgXr6siMqrjqxwXwLXKeq99dV8Cv+uK3C8uIXQB7vSFySNzhe87gtEWssuK9ubraRKxBNqtnbqd8fFaJKIWshH8egIJ95d/qqd6eUU6qZs63Rqta232KI2nKi6qnzY0zybcqatt7ZntcsqFTJmaCwcCNwKkaqmclThLbWn/5AX5Vrdd1bX/3i90b3jw70MbFWTD9/1EqJJCc6wqav0EtvDy79mnBq3TBbbzgVjKOQfAqDBg14zaOGGImuYgnr5JAus3Ziu+4fx9T2xvtTG7b1/+Cts6/9dyOotmQWvHZr/crg2drcbBzv26QM995uT8SQztHG9u272OALN5AW09uzzVa5cMQCy5b0liR/dhu622tSDVCKV1bsmoSY1C3c6wSiePHGfedjdkLP23bj9pkIDcoHnhPvaz+U70iAdUWlDoRUxtqP7sDrvkkBNAqyDkgxooUK1QFi0MVgy/s9R638O1vrRdbA86qHLxiq9r2U6veul3conSu/BZpy6vJHwXFLi24jyd8FJ/xWbxgJ8BtGLBowZt0wqv+gpjKZp3bTxcQN5wEXgwA/HzEtU/TXohWrPGguCUVw7oOGoFkCtBN0/qWwJFIPqz+E4y5Xtw+o/WrNmKwzdnCpDNte3epdk9g0LLhCpDZEsFGmCeTQGdL0OxJuAkjfmrydr6G3Wb6frf73fIUFGMbbuRzbhf8mSODc8JmXc5GWgV3PUM2n5uM2+JZkcbNWdPWhrb5KiUgiCKGihjquu4B1BrauNdOMewX3O9HnJcOc46oNZAEVQUhrA54sH7kOPNcaPvH1pBUIJ0LCzlHt1e2noOhKFqFk3BhMjT/pn0CIAvqFBGrJ3IAGAw/hYogij4U7OOCqoJT6TFmKhPEviImEk+dxtjO62AqMO38k9WvqYaG0ApUfYHIKUDNglLCevbZGogjCzluq5mgk391EkJYFmhmD5be7rFY9o/ZMjRoSDPGbkSrvSbXtZ8iCrTnLXlVKI4Z8bKg9gn5mIBKtrgyrxNz5SSAG3Xt6TGm3UCReID/Hw/BaLdZdY1PJGKph+6qOtOosGV1MJ0pT6MQm69oMjZ+kUmZBjpkGu+SrHIBtMpj3kvrS2R/k6LuSDYSbxYIgHzqgEWQngjt4IPZ95hRzkeKoXvvIhSshlczQkZ6UTsrgBoMME2VzJFLRdl3aDpzALzPNNhBIQWAVwb9kFwK4oZ4SL2n12B7W6emdIKyL5BDxg9uHvGv3fwKf9j/Gj+Oz6gAehR8qAe8W4742cMbXJ4HJFe+iTSw3VNFOi0ou4R8eEGEAT63sz6WTqyiZ/0aBc1halJMqgjjSrsvhx2hWcsC3VRyw+0t4SHmLIVps+CiQEOE1ggphfJCSmexJQcCWI1ri9S+z/ZJLAU4gdVPI0WJU+W8FSBdHCqEluGFkDgkjqtTvj0kvdoXikKWyB70wO+8ajOYZngfMgD2EIfACiKKQR3NIm0qwSvEs1oSYKDjNi/syQwBsutQhZWb0gsuHwXkI0kQoAINlWx8AHQOhKEmhQy4dpTMUoVFEB4jaqeolrGWWQhvNbh2nEww3atcwkpdmArCZYGcjJbPExeNjdrGxJxfBsDuPDjO5mVgj00izP99fUkfMl7FC+7CiFchoqriD7t3eBOf8enuD/DV5RZxl1EO3ZWjQKKnZEGeVV2NYKX27EvMO7Iyb4m2HNbbHMLt/ztpVKlr68VLyE8pltTQZvsANJIXsT/DXCCXBd7LuQZC0uyHbCuFURByXBMkYpJZtj5hchtbyDVhkHo1nt7Csm0PqQZ9Wg4Jcr/HVVA/pLZWw8h78TMGmczVYveqKRDmCLDaW4E4LWgkWo5U6NOaKPVAKa4yMtJsEDPr9VCBoWB/yzNmPPXQSubJciyI54D+Idg5EqEpogyK09ADSSG7AlRhZcR1HoVj4Y6MS3vEkXIvTsiDqgjZ9mwI0H2/rt0qLcCthwFIgVDoJfOsM/LHdVFaArnXVmX1TXrJHd7lI36vD3gTIzpEjJrxZDa0j6UlkJ34kA4LK2fpUhBPMyuTu9Qgyi4lRp4KoOw8gOH90N6xF9orrf58GgID0BCg3R5aJuAr+7Wd+elZEJYBGhIh6bM53IHVxzgq+ocZ20uToMTEvt25IEghQ2wULDfpShVAxKtyXmleOUPCouiezIG1nsG8F9MRBdKJzzK+joCYZE/ka7tzRViA4Z2tqU93WA4Bw3tFmoimKzcDv7ePLcAJY0EZAuHZifcbloh0XhDGjLrvkI82FmO52su1i1iOCWUnuLwhn8jlU0U+sgdXRYGu4nB/gQhwftyhGKuus6Ums9lhoe+kS4f5icScYZ/Nn1oDTKggPgXsf03kXv9YEQ26mvcRISuGdzzMvTc57yJ0CIgPC7q3JyAEtjS0pK4F6kK2anHUoUNHjwHLIayESIVBjHQVvTkOQSpc9vyrMuFUA8baIYVKxlmrJjupYsiR8Fdfy0kw3bPH2c/y0knrWe4ese49C8zWhIyPodti8i04KlHD6hedPwmobwRlR8mY7hmQjEa62T/Z674v+PC3BNoVoK9AFfRfJfTvBd0z99blTcDjT2nfbv4ioLP1mUbCncWAh8P7gPq8Jo9Cpg9KBAbPq+WW7PG1Vzz+hH2W8z1tff+BckmHLxR3fxZQdsDlY/Nd/2KPX36+x93nDPrjTK4ch7/Xnj5vvPAzumcWvKbXPEvSTD6EfEBDkqEC4RyMtZefc/mYRF2NVMrsX33sMH0z4LKrmD9KSKlg99kJ+Ay4282431/w7m6P9zsiQ4+x4nHc4d2HI+pTx4SJF4f2BRIruSeUBYv+ifMSpoAa12C7uyiGby5YXu0w/0FiRT4EpD1lrZY7oufSSZAugrufVey+WXD6fofHn0TkI4j0VKKl4gj0DwKgRz4CT3+tQDtWa5/OA+oeCKL4Jh/x68sR45Lw8HhELYLj7YiPX3PhVBXUV4KnnybEs+DuTxW3nxfkHRUm5jvB0x8QZRqmgDCGFZI/AONHwUjlFHpJmC4JU90z6XA3I8cOtU9Xifx0oXxWmf9qFYl/CZVcALW0Q7QMoWUYBEqnagMdEbHAbNsvFULrXWz9PuaAypwbvEwOyaDB2jZ+TYRjxEktkBX2tbpj1DK8stJoG2RHClAXpUSOObgah8YQvXWy3Zlag1+rbvn9vqxsbZ4BHiDKaqCcya6mVUqjdgZr21WgJ3MfAGTt2Ic8S4P96sYAtuxq63ey8TESrgZps2yZuvNbSd7gbMXUqhJALPvpz9q+SxsxmPfttWp1WJ+XmclVoN37vbyvLKWKu/6CT9IT7uMJt0FQAZx0wajsy30eB+gcWzaNvWba2Hylj2vSpM0R1oxjG1dp6zFkRYV4Eai9pyVbDL4r1XQwt9n/zuBoFvRcwVi3le5SLDhEWw/rGAS2y3jw62NaK7Dp9YPLNDmbtAAr2UYFghDeFEmUE+e6IgRsTTCDJpSsKopg9+D6r+L3l8vah+z3vdH3lWo9r+YwixEgtcuD+WT/X4Wf58Rd9kw1uZyKaeo535GAkBkBag7rAWCHT0MA2GtbQktlhVBn7yUyQqNs2dgrRIgaIVIxzWBpkldXc7id0+3lVT8IXurmrr2rPrA+NoIgik4yf4wg5FbIvnATJwyRcgtl21sEW+9OeOPPqdqqT151rJ0Pjv3ZflZ4jyMUxNe5KlhW+UsOCa9yvPjs1uaRK6iPy2BALGhSoFVJvALKtVVXdIh/pLWCSAEC1AJut11my7yPO67Bjt/PtsfekQJliC2gFwXnGCDp1lRAyafVSXTW4VYVc5REBaRWku4ZfFd3nQXCXtWSluCocXN2Aa2K6wQ8oaus2gOYQsdstSckBa2NBJAmD1GXiGJngVaxbL/1lds4O2zXSYW21St/TdM998qzL12VFZHQMaiVi7XoWDX8ZeXX+zcdIeNzUVQw1YSCgJ0kBAScK5ELRQMCrLfYrhoBMbh9yMy2XLG0y+rUb5NHWxZqqUA1KJw/f0t2e2JRBJoipQvLtd0KI+cjDgnR+o/dZvhZL7kgPS8Gv4uWZGJVKojY+iF8vwoDf0JM7V4iq4hbG8GEpCA2vhHCYwEGbq1ncDKd0GO4kvgJ5ktQzoqJm5r2RkQknO8uovRxHcNgLQa5QvqwIiWSGKGpneXC5LtU+kXkFUFDB7n2Zt6bLb9R1NsMsv8JJCqOuxlBFNPYISuAbO1FFXDSOSpiqDn4bCupG/b8NucVjT2e0HRtCWpNATJXxHHttfZ9WZMhRC4TEELrV/b+9Gr2vLVVecIS2BBk2rli9yNBEb8DLnGqAU/atX7nEMgZQeUMoFYmLmBtM57MczWENhfBbIZYRc+rjzYmrR3HqvzNPpu9oypIvHKKliOgR/qVlJlzvWG1Xl/ajKffSxh+cEKMRNDNc4J+dcMk2kabeHltPumvE+LE+3L0gVeJ+R5jlu9YdYsTjPnY7cfqry63Roz0McuO8dIzQD0pjl8uGN8kEkglRffA9d8/ufyT2c2GdOA9BNNWj4uP0zq/YpXLcsPe2ngKDQEasiJ3THAwkNzaObaYpJOg5ID5JkEVeH17xk0/45hm3HQTulCwlIhSSIw45Yh6SUiPsZ0tGoEcV2kcP/PirK2lgUlI3y+KcFkQDn2TavMWjjKA2rYTiTcJU87o355x/t4rju/eeExMd97ZqcMCnDtBeD0jxAKtATlH5BJRNWMuEZe5wzwnlIeOsdPNhFfDiLlGLCVi1y8Y7xfkLiHkgOHtgnCboBKx3Aj0mBGGAswDC46AndmWBGoJeoFMjHPKbUV6VbCUAA0kwnX/KmRFf6rI/6qC3HDYQ3Y7MquC2RVmza33qjlJFgy1N4IZtiGxKjDO6+s2WXOAh4sURfdhhMYAuetXuuy4bi6NMCdg8z3qTgj79KiFxveUPqIbBFIS4isyV67yQitELUzOf8++tuCB9wbCKov1vfUbBt1sfY3OGG2TssKAQnMinQAgHxXhuLDvtgq0BsgcECZCNNzAueyGB+4UubaNbszL3pQfTyYkfmGmKFjWW4plw8ZtGZyHv+sn+pxoF1uQKwBqinbou6NaWSXbVoYs4HACAw9sahV8frrHf5T+AL8aXuNUf4GKgF/MH+Gh7PHV+RY5s6q3JRcBgHxMrc8bVYG09mtttdtKB8AOC8CJvCyDdVpJOdiru4EthQB0yaDg6zrS88W8bgaD7iA1aQ5zCFmZvXamZJrXhID/24bVeFs5lFwRLuyJ1jkAQZipbI6etEDB4am1s9+7oe/FxsCzyHSiJEekLiAU9jPJnNkL7/fqwa3Pe4wMCDyw8daErbMYpLFNt6RVDBCN0M3+IPkRjDROUHZkGoTBfNTE06XQyMXRglYjMnDoi6+H2gFi1tH7ddOZGmrpgoYgia6FWGpzeq8qj0B7HgbwaoRSfu9lnbc2Lvb+SritDtTHrcl69DPlXkqK+Pp8iz89foogiu/FP8WiAX+6/AAfygF/cXmN53lAniPSvDoLsENt256x5TfY7q108QSCOT4t2HFn2vbstpVClYnJqtBSoRvIstzeAIcj2fJTIPOqfZ/D4sTsWpNiqvaCpBAVrqs58/NtTbUAyyvES0H3NBsjcTJ5mG/Dqn1cPahy/oLtfKzET9b/VhRh4me1BF4KqHbcbbXR0dhtTCLG1rn32Dd9VUvYSK7kLLDeaCcRDArUoE0z1derRkA6ju/pPDDzfUmQhWQtYmy77tizTxCIavwJOSBrh1BNgmFebXmcNn2iF67zGgV6SHSKlgqgQmbbu2ntrW8Vumx7yM49pAC9OWyk0QBH9DDAt4De20AyEMaA89TjYdnj1/kWv8o/BwD8PN/hbbnBP3n+Hn7+4TXqJRF6l9Z1GseKdKEtLbcDNAbUgXIYZeBY+tnRuBMKjJCMyawmJ2NrPhSyS7NyTRSEOGt0W+jSbDltGz+/nSVOyqQwfoT1ihNtQnCSzUBGYrXAitqYFemU1wp/oG1DgMmMwZjPNxB+AOEYILZ+lsPGMffAL8B0hyPSPkDKEc6y3p/ob5VjTz15Qzo5UQ0lkBjsDu+vUT8IVgU0v8oT5xUBZZ+MHM9sgNq5bBU6nSjvgr5CUsW0cJ/VYjZ9DIgXSmyl84ZFXQXzHQlsACA8+f7EeriBRF1O0uQwZg1rUO5zVw6p/XscFdoHlE9e0U5PRGZIUSgqIGGVYrJWIHek46LUoC4W6DpqoAi+utziT8bv40N3RNUvsZMFb+KIWywYa4cP8x7T2CFOrKjFizZG+NqxQt89FpRdwPLaJA+3yUT4OrRpMeKpbYFk7V9ly5Rs/IiXxZZ8JOGYZCb9l1vK2lBKB5i+x4AuHxT56wPncShADti7UkE0FvcZ2P+ShSYmHeir156Ls3Ycs+6Z33/+PigN88TAEEqySQYqrCTm/cr6271NcMnE2gGXTwKm1wPynkzILiMYMhFhKgPmV4LlTtuaCIsgH9j7yYJWYFD8wO9b7oDpnktr90UHDcq4QBg0TncB871g/Jif2fSdT3H1RW0vxlQgAnz5+WtgDujejPjBm0c8XHZ4/nBgYrIrzCeninzPZFCYaE8okxnQPQnSWZBGVvMhwPA2oDwHBCPXml4FnH56T+SW+fzLjckvJiA9xiYbCADPP+xw+fgVLp8E1GQEtVFZoX8i0m18E3D5lGNbptgQURKoAFFU8Go34o/uv8HjssO/kI+Rl4QYKk5Ljy4WHLsZT+OA9GWP/oPg5vMJ3RcfML/6BM8/DMgHQKaImgNNrjEwN4mmnZ2RWRDOK/FaGAXL13uESVpSwtFb+SCYXiWU+a8Wvv7WQa7sd8DQk8AGoKh7VRLybAOlslZLvZJVXu1R+0gZn7NBCMUzqJF9IB40zhnxcWxOEyE4HswZA2IFgmG+V4avtRLgWrPFcCaxh2nPgU5tBQ7fFHTPBSQmIgmDGMwtWMWSDig9m1ZBs+BGh46Omyg1FAtY9QAQ5hWq3LKNdq/sMQAQFLvDjFqNcKQIxLIzUn1BMKBj/w8Ah4SY9qpXiZdb0p+HhZCTdAGGp9ICUalKCOe4sGqUnBadPgABAABJREFUAiGt43wVyGjfQXepEckATDw0ApwukNDhsmwCAgtM7WM80AV4WHzzfMQ/wWf4Zn/EufZYNOLzyz3OucOH854U69WyO5v5LPvQ9OXiXFEDtfMgQHci9Nozom4wNRDOXZPj+9cxaAeDr1XXP40Bugly6+kM7fZACJCcWwb9qvppEN9vaa8aQU+TUXFI+OZAki5xD+WC0CCz5oDa65zIydmbEdAInZwkSBOaJrHr0IYZiHM0qCGzuT34MWRq1W8HfaocA0vYYFvtLWUTKMoqkWT9ITBo/8o+vWZcSURiDvLOepeUVQASk0jTbWMSBnQAwpXfg7qgVbScPdLhRuypMWKV03I1H9wzG5i7JxwAPpev3y2pViP6uA6u2ONWDX4ZrlonyKAa8OGywy8ur9FJwffSB5zrgP/P+ffwYdnji/MrnOYOdYoIkzS9PjFnLHgPqEFpc7/2vgBesQayJXC8Dy0u3iJiVT4nifIKnwfzLYDbtBvcHKCHfatahamswQ6w6iKLEMVigR/Hjw6kzGbPPcjYVgV9vc8Zcp4QUoToDjUF2tulrglQI1+TJMbMLdC9wVitsuUOEyodUsCZOmvLzlNDN0C7YBV9egKuxyqqjFIt2JVaWb2txrZuPapM0ipES1sDVRwKqi3ZwGQqLFAguYdWwXLumtMvWUzzctUQbZVqQWNKD7Ohcaoxq1rfWBwtSJptnU8VoVTqUCer2hXFNpJhwGVwMYcOW+uQLAVYwITNfmcJDXuNV3vjCst2hygsPF/HucPTMuCb5RZflT1G7fD/HX+Mb/INfvbwBg8fDpDJHLToQS6TrOGSUfuIcuiYyOjIxO5kjHVzdnglhM9Nqax0sQSEJYfEelKZxOh4/s7LNTJHhPO6sdcNRi2C4akQ+qzASjjJ7w9TbmtebZ1Wq446nL57IglaHTqUmx4IoJ5kAKAJogFxqkinYnuSNjjk1M75fBB4hceDIA1o1Y+8p7ReMJmw9GxVtmOi1uiBc51OlfvKAiVZKtJloQ927BpUl+0DnCNksb52IB8i8sF1sje23HyWOgn0oIi7ghAqsvXV1RyoAXxhm5XDtKWwoieFvtjyprBC9rxyTXDZmp82oyXtAN9XfNGWl6ORmT0XxKmgpoDl4x3SWNC9PdMOVEAQLDhb/QhuNl/TCstLIR+ErkERaAl4P+7xJ6dP8b4/YNGIj+IzPom/wC4opppa0nIY6bN1Z36eV8CHXNE9zRDtUD+hrmxYZCXyAh36fLC1ZraNe9XWV6tkY032lwIJAi3xKmAuR/M9F9oi19p1pt7zDxT54wXhIWH4im1A+RjgZH/+vaUnYvLmc+7daElEwq0BQFEXQVSSGIWsOP2IFcKyDEzwCBqhVndiNbH2gvkuQy4B+y+NMdk0iZd7xXJntjmg7UWSpAvqYG1+d+zR0RgpQbSn5urS0X9JJ8GrP6tIF8WHm4jlVUX/PuDwBefl/H1dZYWUAW750QgtAXhKhNlfgDBZci8xgE6JbYjDrzoMbwXPv3fAr7uC8dJDPnRMkO0C+Tl2BenVhLJQVk9yQHoKCDOD7+7Z9kPPNb17a1JfO5j8HKVInaEYQv9eI/277mndXyrA6ftEqlWrFlfn98k8P3bvCk7fD7j80Pp1ZvN7OwViJeFhiXg9nPHfe/0neCgHTCXhYdxBVXBZElKoOHYTqt5h/6Xg8HXF7hcPqL/4FfC3PsHle/SNZBIIpJFexRE4flktoWDPsIDnj50PYRL0H8LKUZAAZCBUYNnbHM2bhf6XXL99T27wTDjhRnHMa9BQAR0odyGlAhYXuJyJLJWFnMIKKf/RdrpXLPLaH8a+OH5WmIE6pAaL9WslP1ozc9sf35QN472Fbxm7aTD2zloiIUnZhslJRkCosrqECCxLKmTujO4oOzzHnKma1oqbP6sTE/i9SxEsc2IPbw7QbFAb2+SerZEKCBS6CNQyfe2ZI6CV+Hz2NcPgcHZouzPga6RBMf39kfDDVrlanVOvcAXTEYSyf0ocDueXAg3KCbQKVzwHFCQ8yR7zkvA0DZgLg45z7jGVhNOlRz4nxHPgvdvGVaLa4FUPh5WncT0gNLIi1J0s6LPKt0Mz0qQts910Nlnw2IwFrpzD7bJsV4PgbyC9KNdw3s1r4JCZv+RqerMWcMs2GANW6L+COqbgASeBzKRM4hjTrjlJtQOkB4pBdyBAiEC8BKDEK2jpFrbJiq3JBllFS6quVUzAouSALaKhMRR7EOz3WxXBYDmt1aBs38ckUJilse+1xI/7Ng6hF/6b7xsPnOO0VnVaxt8ZQT2p4NXczaWGRLiCLHvywoPibdWwBfJiQTwa2Z07fzBHcLz0+PJ0h6pCGFNdkznfPB/xfNpBzpGOnPWlrtrOoSWKWpURQs6ODYlJ2IyTO8RMKLyAbPu8quKKcGo7HrmwCpsr7daV04kVjbNJ0GxtqJPwbT+3wfXNRjKglPY51Ja1KnFhBkStZcL70Mm86+vfyHTiBqKGNQCipjMZ5eO8zj+5FbDCiq2lxhlp+Tobn2DGdNOC0RJhbtd0nSv1ap0lXFaEjlDj1pAK3p/o0GOSjbD/UhQb7UugwfOtcpbOoO1ySb3CdhNWHR2BVCH27Fv9eSaQKo+runnm7Z4HgGJndZC1bcfmST1IqkykQOjIQ4Dp3OHz51foQ8F/3P8EBQE/Gz/Ch+WAp8sAHSPiyMpE3Kzz2gnqPq37etNqxKDKM1vSzjZPCjdWaU/8zoa8moslKFZ2clkyXLmBc1+B2EEDSSquSGzASmCcCgNmT8xgPQebrFYpkBLa3oyW5HddYWx8hLY/2p6SlmQIWaFQpJHtW7Vb1RaKKQSUPVa4tjHIR7OXg2ANBOwnXbiH4lyvUEnbc1/tJ+RijNvX9wevTk+1Vco1mm76BmllS6Rt+1oFmCLCOTQZMGqhOrSerw0z7DUrb4ja0eHvi+P6TFubponrxX3L7smUODa9/b4vrmz7poWDn2MJ2apwWZ1GUmRBZRgDagAeTnt83t3jeRlQEPB1ukMnBVEq/tnTZ/j64QZ6StyjGwgszyxLjPXRqsibsQuW0HCY7ez2A80ONrkst1Vt/QeoseWTvX5N5oRZkAqDBk8Uq5C5m0mPCiyGnpq4yhHozxBdaMvWCjJxUvs7J5qVWzEbxvvLez5PTTxmmrpJANvxOtq02vFe4mNEPAuGD/TRxo8tqRU2hZtIu89k8NoDHBbODUkN+XnpKSC8i0wyPPP7x/sA3DNATM/ChPiZ7QD9o+nxztyfGoB+l1GKYJno35DJl0Fa6cmzIGKtCNHX4rrMFIBkQf+WjP75Jprqxcof0mTDRiIsl4NgeuOFON6H+79kTuazRA8Ig6CKNnQPVVnQWhYdyamJPlh819kck5+ISTlBfA7YfcMxv/ywQI+KLhXc7y8Iovjl/AaX0qELBYduwXnpUEvkn3qDaUoYOlbpz3/4Gv2bIy5v4irx5LJ4RmRWdnxtPhKm7vexPTuDoZxEWe0NHVERTTVlD5TvItv9juu3D3JTNMdoYRVqXtaZjgFlt0PeR8TFYJh2SVWE8ww8U6LE4c4vL1kyMFWS9uz4GpkKBIXZ3+EaSsR+BzSIkPcwtH6GSAhHGdAcUm4WDmq6mFMTBdECpmCSMO2gyOboBAvgFSt77WVGWDLlPkzyo/Qmot4FSnA4SZBlY8vOnrWAZfqT7X6DbwJoEOs4bvoQFOhmC9h8QXvgrsDwnq91p8IZekXXzL8oVhikQdJ0l6CqrMQIrpzA2idWOp4vCEuG3N80IjEd4npww4yawS/CDCRQxLs+kuClpAHfHI745tUdJFUMO1rU5d0O3UNE9yh8BoNr1s4YKKtJJvTMkg7v7X23CWUQpItieJ9R9hGXN/QY+0ceNt1zIUtdH7DcRIRZKddi1clWuax6Hby9DOYAtCpg/Y5KgSrH8Ao6byeaBAawYWsVGYC0qqkI+4C3UGYAmEGYaCJTciiKigrdRSwHVj/mO6OTP5oEgFqgfxEM78QCQSPPSYHruxCWrwUNlqr+jF69BVYI82ZctDfCMiMZYlWbgWHItTmRGnTdb1lISgLA+8fTiZUtwo7XdS5euSlAMegie1HFCFK4RobHiu60VmVgJDYNseAVyC3sGACcudoDWlVWIkWgu36VWAJY3egitlDOkCuSZcbLEKGBB48mYPkw4C+WN/hVf4d/vv+EwZwoag348NUt4kPC7kHQf2BVNloShhDdhJCtCgMgzGWF8HZrsB+yon+26bDqU1gq4qWsVVZVysPkAs35uj9xc8k4QWaLM/qOz+/vl00bSdG2Z5zUpUF8fV14QsRtUiDaRqzPTwC4TmUwSKEsmbZeBILKPtoYAAU0CULHfVzMHrhD4FA5dxzYd8Yv6c6hwUchzIiLKuI5t95i13dfK7uh/X0NAO01g5HYWAWUrQFEVIRFWw+9O61ltH7+THseTU8wjqxopJPi8A2llqY7gwR3hK5RasSdG20BiLdidM+5BXaiFlOVDRnNhvgRY4YErLJUW1SDoTdEhP6+VVYBkGBpE1hItWqyQYjDIshfD/hyeY33Twe8mw4AgKd5wLgknN8ekD4kdE/myM5MTIaiViWMZAWe6lVfe5zNcTWSSTo3nlTieKgQjZVyQXqeree+GFrBYPpLhl4uJJ7y4Zsy9GZv/bWBUoUiiBezlefMoG8jn9byMt5LPmXIlBFCMGg40L27QMYFuutQrYe7kak5FN4DSbt3ny8piuHdgv5BML3ucOnY4zt+TKe17PSKxVhmkk3GUVC/DuhOQiIeq+73H6Y1KFJt8PpGQmZ9xxqAeFkQHk4IMSCZTV8+PqD2HBt5qm0vS03WQqOrM2oJTLLGVtQqSI8R/fvVeU1n4PANWXkXQ2SkMzC8c7Zcjq8jNIb3iv5JW3sXz7Bq64aSSA73DqcZ6S2N8PLJDfIxGcKhwFmlWzLOksVk3pUG6w5ZIXNFTZHVMtC/SCLoHwRlDBhxxJ+fenS7jF/e3KOPBf/J/kcAgP/sZz9A/GrAcGHAyB/ORy0wSC0ow9W7H2hIQ5gvauecbwKHJpO8aW3BcRsvhljIr/ecww8nhDy2dZ4eA4aJPlEZCIOuHXD+PpMVABBOEd2ToH9QLLeCsbfzJgekCyuBeb8S/kCA02cRZUdf4vgrs0VnRR4Ej78fkG8U5VChcyTZmAW5yw05Z/It7Wf3EHDz84B0Utz9giR/05sBy435rhdpfqRUYHjPNdMuBfQ9Ibl14Bgffxnw6s8XpLEgPU6YP9rjF3+3Q/54we4XPY6f8zn23xRoANIlNttCfXPFJ3fPWGrANzWgLAE5JNQpoB4LupsZXayIsaLW0ALQOpBtmcEv5//1P1Hs3mecP00Y3yTTHV5tnFRCh28+n/D+j3Z4+mmB7gr6W2Y59J/e4PgryiKNP14QniNe/YnJp4ogC+XH9r+umF4FnH9QUYe6JtZShXQV4Zse939iBaMIjK9Dq5je/hz4/v/tL1Bf3eBn/6M3GIeK14cL/kv3X+DdfMB/+Pb3IKK460fcdBN+8XSPU+5xHnu8XSLqOSEemaB9+v2EmhLSWdB/YCJufmNrbagIfcF8HyAlYDkq9A0rWHXuEa39QVpMxnudX7Hau/uG9q3sgPLRAp2vCQF/0/XbB7leBdxk5gGsFR81MowXVYVGerNkwjTd4XwJnXSHO8XWAya1wDW+/DMbCZG9ncZ7UzGABV1OCNIxu6bYEJpYBs+F2rGBOns/R6vSeUUnCImcts+1haM6pHJT1fR+Fz6LtkDWjRm8+pDZeB7yelC40++Z0NbfsnEOWL3UVuHyfpYtOccWSryVcWjP4NCq9qxrIKCgVub2uQTrYeTPiM09rf2C9vtAoomwAGVkP5PLXoUpXFfzLPBqmVWH0cEdydVhb89eFLXYQSbSMqrBe62LZ+8VW9KsNscvelsAYGUR3lzbPseXr7fnbFItvi4iYP/59me9rP6C48YqdiUKQui8qdhBaRlVAK3aUQ2i4hlpBgn2Y9kwTQLNfvgHaAiQl2REDZVgY+5kTZtn3TLmtmBoW93Deg9ci3Tyw6bXWKxft2XArRoafL3bn+LZdjOCzvrtv8d3TMFvvLZzB1zvAb9e9u/CbEsMcLbjbVW1XZXPIXOApohcBSfDO8aoqFUgE+FZ3nfl+/IKZbG9NgG6KCv5rVcPtj+8cr55/0u5tr/yuLzsv4YFf9ab1+S2rt5jf93YcyeRYjbuxfNsXiNeQb26F1yfG9tfWUXLJUwkwapi62fUaJCtLWrHzonWi+/35H/f3luQ6+q1/a6hVr4jV7CtNEoWYBGIigW5YIDr9s3WektO+FhZRVqu1v31WFzxH9g55GMGS0zK9rzajrud2w1pYzJwqzxVWM+TSDjMmgzdzI09Z5yBOkbMqcfb8xFVgWnpkHOgvvuMjcSfPVsG5bPamoYvYzjaIxQ7ipQL/WqPeJ+/B3IezLvddFRNrWB0vxmDUlqfMQD6J4GyhK333OH3MDt1RdqF9bv8bDLovvs0UunsekDL89R8omzPYHwHKiDhl67n83YPN4RWUvbWdQoF9Uydo6C1P7mvsnmvpUjXdo8Urvaaoy14P+WqpaMpZISNrdN1nYcC1JlyJJoUo/SolWQ+29e09axrxdR9FNf1ZsuFLenFHN2gDeK+3vCL8Qfa2eOtKp7Ed8I+cdRh0IZm2Cblq41PgwFbYO3kV4CgGNfCAuAp7Bo5qALQMRqiwALceZPQ2M6lIVCkAgFOTLYZU9v7HHu0OfX5c2I5qdfP/V1XWNb78cAdwnWkURHPoVWO2/g6qNLmp5ivUBORF1tppLB8+9xtsjwK2rzsxSf6smrQZRjKzm0gUTZWAU7aJIiYJKW/Tm341cdxXoBY3agL+/Tn2kjy7JENRYNWNPFqJiUNN+txEcwlkvRIDYUjdg8KlBIoBZQjSg5UACmAFMrv1G1VcuMftP3sFXX7vC3BqyaFdBXDwIzPZBVq/p5j4DbUE7qt5VF1nQf7bu+x9fFChcHBWSTyeAcpAlGazzLmhFwjxtLhtPRIoeKQZqRAiLaqoJaAOke4IkaAS4q5JJ3YnGGNt4xwsfQK7ZSIxBabyGorfbwqnxGy2kOpAKYAnb7Dh/6O67cPcq0PdcskjBRRDz0ggvg8Ib0vLaC9qlwtGciZh1HenNgi62c6xC4E9raoIp74vWHK6L2fpsGHOBLzqx5lH62XR1oGhaxkCt0VyBhb0FWjIhj0gLpOXqlhVjuUivDhAhln6K6nDEVgRVKqQk4zn0dkJbtYChCUQ2NVUXSU/3DirOGBxmY5MLPJylBanX8zAoSFGPV7saw+sJILmV6uV7kIg9C2AQDLtj0stngsaElWvayWiMiVpEo25iok1ql9utqwMBbHcuxJGiNoPRxkFQyNGRVAg1MGS77MrxT5VWGweQ4QDcAHdtT3T2JVLV/8inQxco3HBfGcKSF0TAiLwdOCG9+1Z0yKYnjg+mg9ilNBuGSES0Z6sPkdEuquQ3p/hjyd4TBcqSvyoK1tk1j5zqB2G/zFuMKN54WGMmdozhAkYNhUcbHOB4Bv9Yw6pLPJ+iTC6LVUyhaFitqxQrTVfeSap/i2LDSs+WCQ/IUVoz4IukrHqcIqh3NmFfolxMthyDGwKlgsCMqsZiFaH30Xr4jj/P7DoiY6TqbHfBHr96EB605cH+nCnkMPYLewLn6eQTwv9XpNWvLISXcIrypAVVZx3QkOwoTBuKzPJebYJyMXsyBNu8TeU4M/agjsHYysALhsDGB95yYBkUY3zkDJTNDlSHNbjPV89yFsSISsWm06l80BbpDYYMyrdmBmIGhth2STWJrWpKIz93J9bcav6pqse3l1CYh9g6XK4v2rKwfCuma5D8K4qYD6mA2JVTXjWgi5v4a6b9Z5628UW0MO8wQ4bwBqH1C8Xx5o0Kw6KNm6B8sWR4XMAf07524A6kKHBmIB2bhZC7Wa804pOdjzNoi6VwSbvbS1HUJDXkiuiAsRC17hp3i9IBRBnD05K6xePHP9xkmbPqqvI3d2QwbzYgbvQpXGopzOFXG0XvB9hGhkJbBqOwMbt4IIeS02c+c6t1dBlM1d2XfIh9icaRVguSOcuAxEiridJcyMe7l7FIQ5ojwFvH16bfPKdb5/R3kOthPwz/TMntcrTdNMjcgaIyQYi25R56YjusqkSLoL+RfiWK1aZ/OI2OwwUWAzkBLk9gipCXjLz5JxsrVKht50muHydw1m7z3nSyGCw2xCmAsRAL6HCpEirR3APl+mGTL0gJBQq+xJNBQnookaU3kQEip6kGt7mj3Liu6ZcNI62J7ulLJjQtgr1Pt3taEAKIXV8/zPFU6qGZaCOkQsN0QXxJFrt+4TtLs1abCZ+8HPHUv+1BSQd7EFOlBWZ8MiSM8CfdtbgDOYLjDPoG4iUZFXZlTZ3xmyogwBcZCWwA8VCNaf2F1oy1DAVje1ICigzb0T42kXUW5uAYA+54cz6q5HOXa0OwOaqgQnUSBzBfahBTu+Fr3nv0ngFMXune1NBMwK6Cli+tBjSorTcQ8EhYzc590zcPeL3GyztxGt2qb86c7VWqqMGEg8+NUG3+xOK8eCKM+H9DABASiHnntizPTZVKGHYUuxgN17xW5iP2rtAsZBiAYA5+32Z8Dh1xXLIWA5MiCRXSFp0gL0p4rLLjSSo+Vmtat+z6Wnvcp7g/0WIJ4FspAHYXgv2L2vprtLkrblxtGUhng6Cp5+3EEjML1W9hIXQSkC7SrkmKEAzjfskcWrBbd3Fzy+O+Lwz3ukZ+DuLfk4AGB6ncgCvttBA3Dzc0B/2QHK+T3fA+//ZjCbQVt483OOxXwX8dUvX9PmngN1ZHtKCaUPCemX3RUKtHumb1OHiNNuDxmjEawJHv6QQYQm8uNosp7hpBCTTjw/DUhjT5TKLGsxD2ugF2dAnhPRbuYrxFlQjXNm2dP3G95bW6QFxMu9AH1BfbXg/b9O6HS4EK2Y7wvi3YyHNCAffshkwQwcfhHxVf8a/6AG5BIw54gYaddiqLjMTF6WJQBz4DwNDNqHdyRcywf2DOeDInw8IYSK5bmHjgmiQvmogcVBLYLuWdA9Assdq/1xZAxAQl0ejK55vHur2L2NyEvCL/Gff/32Qa47iQbza5Auy5CGKfNAKRXIFuS63mQp0FIh8iKYCBb+h813gAaOIH6B9xi1XqqABh8DgHDsUFv2GwDWpnG4YHkr/6JlPRpcStZ70QDrqaqEZKYImJ5ig//4Adet7MpwRsfiPWb2KMGIVCIXqwZnVaOAdRQ3IIBn97dkGy6HA5izYZnCbT/ymg3ZejJgEGPOSwsMozBJpMaG7RUc6/fUGlv/Yct69pE9e8ky/y1z5JUAc75bFkshSvp39WpFX4ExGiO2Z/SMbr71ba2BblgIJ5Jpob6dPUvrid3OXTBY2wuacVZEqpFoERpZ9t3ap7cs5miv6+7q+q7gYBugbgNdT/yYw6Db4GIbQLb5+Y7A8uo7aptezdUINKolRtaqhmfQmpUUsJIk1jcqhJFIMR3KTeKiglqZ23skiyO+o8qmbUykCoObwIrwtyregKELDMob+Kyk/Kfj6pn7VunxvfsiU+0OeLTAvXZrNWgLA3JW5a2jtq3aNUIwD748iPeNKmLOrVxlub1f1rWYPZHU+uUsmHLIrDPtOmFYMHhfvBCyGmevSjlE22Dwnp216n/TZgXWiq396ePTUDNevXixjtZKzPWYroPrVTzjHnBY62b+v/W5tV4hOzhGcYXFqkJCgKoHyr6uwooCULUkibSqEgBKD7V7W+fXW0+qVXK1U0r19AVVElzTfMu9UDtBsHUg63Za5976ggE0gkNPMrQxa2O0rglRWH/rOs6SgSCKuKmW+rr0OafEBR16nj3Xa9yz8cXjNq+wFMIwy7DCTzXRBocMCHQ9ixuR3hqANxTCJvPv50TtQ4NSBgvASm8Q6gST1kEjP/GEaTQYDmGrYa1mV5K2pFEbI7LLqISlsqrjZ/cGXcTPsu+ojgZgrzXtuu2ZuTT9Y0ccaQgr2qeSeEe7BN22kzSyKVsTS2GlJ24qnCI2rxWQTeKxunzWuoeu9OUBNFm2ECC1ZyBjc8j2idzOWjWou1ol1s9SD3Y8MezeuAQlJDiE1qLEfSBrgJQYQEpVhBCsOrg+s/8uXbRxongQH+ew8b2wgjVs3W/1oL2SF2Zc7U+SeGFFJSxo8OCGSoDPuz3bxqFvEkz+/S3RwfuPY6U/4JJWgfJhAJA+VMh5pFye9FDoanPa/tL205Lj3bq2t3JunpwXtXtb1n2qQZAlAgEmV2PFhEdCYfONze3Wp2trhHvVv4tKGXIVCMd5VYJo972UNj/kk+C/0e+KTPTYFUyPuSlP+LMp2DP6rNi9XQDpMN8asWHQBg5yHoMaAXg10NciLCgW9/XWz2YVX6BlhW2HzNaMsNhYR20oNYck1wTUvgLRfVQFkiL1zHYXQ1u8fv2MP7h/h3+cI0R7xFkxfKjonjPm+4T5JiAPguXWYc5M/C1HMqjnPbB8RBULFPbJaohMxI1AOJHAK47O/8DnDzO1hSWbtrUjyip9d5kiZGZyEzByqE7b+tZOqY+bFMORGzvvB/bdR9pPLUIkRKhgS9bme7KATPHrGgHQktxx4r25zGBeWHUNXUXcL6xAP/Zk9t9nDMOC8V5wqj3iGLD/StrzP552FlsISqw4dx26WEgsVwO0kEARxeyuGNna0ybZ1it2w4IQFMtTz/v3dRj8HHZuCsUCMdkpfm8jOSu2fwKfsX/+VyghpOcJol1jl9UYgEURvYLm1dsuXffdqoIsg9/h2IuszJ/gAYVakT5MnPDnC3vLusRqmTvjIpRAEFYZ40WASohVWOwgNieujmsDODcz/1+NITMsQHTHwZgJ680AGSjPIDOfS7LptfbJJBrMUSuKMOfVcTEIVFBt1UYAzUFmg71VsSZzyqwq1CDK83pQzEbF7hDh1pMr1qPoRiiKDQ+ZdfOxg5OwsMl+w2hoDIv6as8A11lZnZGz1tbX65DNaoFuSYJ8GABhU3tNaOLmLtLtF0XsBeXctwwu1BrqK3s/4qzoTorhoazfF5g8YZV/hWo603Z6LggTqwPLMbbAWMW+X4A0huYMuTMTx0yjUCrQdXAoPV5UciUlOuIA9feA1fGfFyZxUloruI2AqtKhDAJxaP6LAFqnGZgmyhft2KStOXMe+g1Swp2qWqEZVvHyg5EOjhN1UNIiWCAIBkpBjRFVANgBbwRHRKTX796P3pfqVey+Qz0MkHGBnC7c+53JShkrc3OqDeaoTsxj8EYIqzT9ow/C6jjF2YM4rA5Ac0YAQJB3WJ1pRdtTEQCcuGPTYkDIGtiD68m2oGuVUpVJLBHOUVir0mq99GWXUAYjhukdNYB2wLcedIMUMQ9hwa33F488iLqzth66OFoCwAjdGhzSxhBVkc50blbNTUHzRiasELaK9XUWgIlqm0PpO+gY17m8SqbU5pyzRx1wWS3drL1vJWAssG1QNw8o+q59h1eFG6zQK2beLtFF2lF/TVGEidX2eHJyn4Q8xJZ1FjXHtAZUUchezWbSnlNyaOM0A439XoZIAg9nlp8DGfFh9tyTHt6v733Fvp6HtWfek31MQEpzeOmgXAe56aItuCWLsq7yDYpGYuawNr5xXd9ydLkaXMu/YbWTUiLkMGzORLsfT5a9JNbzRJBBUzUIlluyeU6vwirbZPfy8v+dIMgTOO13Sse2t+oce4x1VS4A4BqsagE5db/dbqDdk1RB8kppi1ZsTuz1ULSqVktiuRTUNsjd9QhzRvoAIIDIs1wRHy5rsjoEkwfjuaZd4NB1kXusN3+ii6vM0O0OchwQThPPiBRbL2waSwvi6z5Bshr7v7S8mks0AY4GALUmPUASQKsgzwk6RaRRGkETCRbJTeDj73b+aq4rq6DtnyMDxJoE0cjGNLJq22SbZqAMa9UzTQo11I2KYLmhPA0qUSwNtSVMSGgESnBkl7TvLgN9hNZ2pWh6wHlnAe1MW0mYN1ujiIQzxM5UgM4CsiCo+w4iR5RXOyy39NfSKRsU2fbHUskXoZZoamNv9zSg2Wzep58/q78iFgB0z2kNzhf6X0RD2JpXC9iEfmg6FbJf38QGW/ZAPmQWA1yRIE6VKA37vVRFPdD/gSVMqByS6HcmkpX6dflEkEOEFKK46sA2gf3XZK4dXwumOyeFsUDdKvLjx+wflkKfrAWxgm8VgzQarDkag3Ji0Bcmjke6VGik/1WKYpdhaChgeqOQTMZnPrNAT7FBgDUA5UyuC70pCF3Buy9f4f3PXyM+BxxGnnWnzyLkk4jxY8F8r+geBcdf8exbDrTP2/UWH/ls3RPtdSiK8U1EPjIYRSGaIiyC/j3X4fgR8PjXM+LJ2KAd5m0BWf9NRBkU4/dYye/fRYSnYP30QD1U7O9HhKCY54iyRByf2Zc735h9XwTnL26AAuxHrr18AMqrQnKojwLSqObrWwImg7Bk5yHq0JRVygey1i8Gj07Pth7Q4WxSnegURZWM7XYEL1OCnqnvuyTFr+8GIqWeExnTvTCVjcug8l4vn3EfxUkACbh8c0Bj899VhMeI7tHihsfYkDrOGu9cGsut2Uo794b3DKCXAzC+iSj/yuDK88TMUUqQrqNDrgpcLJPpzmKKq6NcXjhJG0er9dhuM+oxAqUieHD7fIbWAtnvSY7ixDwpog50sj3bDQtwgmVEVYDkzMi2WVvW3LJKpbceBtNuBLiJyqHnAfE0Ui4n/P94+5OmWZIlSww7amY+RHzDHfJmvqHeq7lR6BYI2US3QLAghcOKP4C/pHdY9gpLcMMN91xyQxGKkEuQIEgKGlJNogtAdXeNr96Q0x2+ISLc3cyUi6Nq5vFlvqqivBaEyM178xsi3M3V1FSPHj0a2vXWkbQxr7aErULrrppllWeRriAIoCnvNbXCzZ01kVAiuvx9D4xqNIMQQ3eIFzQHHBe0z2hKneDs2HyMaKMAWq+Z/4jRR03gK54zxW6sWiBVeaAAFKfycRL2p0zSgkoP+Kv1gRbrHeIYDMX0wT56N+Ozzz7kuoyPFeP7FZpCo8wxIbMg72rtFelEx7K+GZHnQIdt6+vBw+DBiAewAMeZuB3GQPqtUYuvXkMCEm1Y15VBekuKM78WBAg+EFi7bTvqnxJsCLIZAP+tlwvq8wlhntpn4HzpyfE4Xu+XYhWKGtluZlUZDyJFBT5oPB+0CVDBetWb/QevNAokCMQrly+qfI7y+76sxwnlOCIVJQV7GIgie5IbpO2FRgWzImkwIRDaP2nHVNGjHTmVzZNcDYAOHSn2IMj7tNKJB3e1PhCx/h4B4JTSRtcs370nJnRCCvaWQXGtLsy1n5NZp9joZ6Uhz6Qqt0Pf0ccKxCAt4HM0ezhpH59i99qUYZfc9yW4bk1R3mm9Vu1UA5gkGx3bKm9ecZHoiW9P3FQEMVE9XQFoKdjPyb3qwXUgIPrsTGnJ5/eyHEK351ZJmwYCNcvaqL9XbIgQ2CsXA/Rm5l4uFbJYtWzdmDgOBBOL7X8GQ2CQOgACQT1Q9KZIZwE0exFP5NDYDMGef02k1QGA2IxPrhW4DyyBd2E9Z6y0We3i+8p6xaEEoCzwcWAQ8CBuN4pFYdVVad9nsmvq6buX23eegTJEDKeK8Wz70XpoiXYTrHQmQAMnbJY7gR9L0LzP1KYhkNrKNh9voVlek47m9LxWafJzE2jsCzXFaCad/NnhRF/u18PKUu2TEwDUOaFOtldsrnxFZVtMcdqq7sSJQqtWtIR4CL1/uvXn0t4kcyxg21fDAKwbwrJCb2bk+5EA09MJuiyQ2xvGFlNEnXfPXWk3ktijXIfIZ5+4/sXsaMhkHKmNF4IC8YnjzMpxRBkCgjMHnF6tQB4IoMXVRiOJn1e7xKICugXIFphIrD0ZS4tifMgoY0A+hutExH16seqgr4VV6/PBgUjGVGUOvVKoobFXoObfHDRRCu6VgUlScAAnc71a9RBMhHgt9hzH/j1nK1Q7IvOBfYPJYoZQhFVnCHTgL6STNPDMz8A6JUgKyDcJ203gWl5YeCg2ViYqoE4B3u1PtqeZkm0BYOrhXpX2altLSlc0MbWmH5EVZSZd1VWpNVIVP6yKeM4AUkuqCe67z+o9iixsWCuE6TSooAnCOZ3cJ3hUm4Ndd3Le62tSRhumFRRpFcxf8wx6+innzA4Pgukj48nxY0AdFOubijpWzF8mHL5izNCq886QkevnphGkoibFuOwEuC6MI9u5+Mh9/viTiOefmBjd2ZJKYzMSBCRw4rTmy1QhE2fq3vy1t8gwuVs+43l8/mFBfLdg/asD3v0rFpoubxKTV1+HCmsDAG5+SaB5uxGsd6zyajL7LuxZvvllxfyh4Ms3A37wO+/x/tMN8uNNq6ACTPimjwQHjp8/o5QA+dUdpo8cAbQZg/Td3TOqCr683KMukSDgpw3pXaTvz4LxQ++VLiNjuOFuwZYGrK8m1InFDJ8aEjJakYtnHtWVpYAJpT0vCnW6hktA2YTV5blCpaLMVgBRQNeA+Bhx+BXPiWUhnXz4RCpxo/NvwPiJe+j0I9oTwQ1hr3SNBD/eZMhcIO8TCxteBAm4EuTyqm2+4T2UuwJERVwGjJ+AMgvOP/gfcoTQMAAhXgf0AK6EpHJhUCVGfQvmeT2g2lWO2jggT3q9X9cqsBoD+1w8IXn58vd3dNgWTYoNXi9CKX4Pfgb2LA4PjqqjB+a7AB1OAfPeLA/62wzGSI0pD0CDNNbTXsTDXy6I5EGS92Lt//iBHtrICMDR/njpxlGtwqUJHAt47L9/JUCl1o9piDo82Y7CgehqwY/nvkGstwc9EbaA3wPsVmGNPej3AdX+aurWQENH24FdtNGVSdt0Kp/Rk81G4qUacsXEu9YI2IzjTlXlIsruM/LRA1muc5kC8u3InrWTKdjZPcpl63NgAVzRcxu7wOxOrMrgAXtKluBGXFGSAaMFGrBTCpMoEyQTpQqzpIRwmCHjyIoxAJ0mUsi9iuvgUAjGnBAmAqoIa2zy/uxlVpsbCsRWgcNubMmOGus9oE7n9UrmPtE129edIrSoQocIubvh18326xC6urnZUVtGp9OJEvCpPdj3MVcOLHn1qgtdSPt7D5ygWmK8cXOQkRFQUVFnS7J2Sdk+iWz35s8rWILeKkR2DwODvDoI8hR2qr7fMwZsl9T7PqT6ZN/H3nLAOa47Cu2La/I+eV9fiMBH39B3BCABJabr1gQH7azS1N5v58Mkkn0jCgZzZvOkqNWra2lP0OnHpXZbHoeeLL2khG9dmZf2EHqy3Nbc7GnbUU+/7/kY3T1dWKrOF7Rkra5AjRHbMELOsQt67VoemrCL/eFhLm2dAfS2BVUIxNg50qr5ewGi5ruT00Z3bRruknaUspbkZes3tY/f03/93MkHgj77aq6YX08nY0IgQHJqtgSF7UG05KZV84Hmy8VV9f37AIGUYHZu1E324Po52Zaaj7LQpQW7L9qW7S0v2DuoZcCtU5Ilu9ASmtAT16rbPEQhMV7VIH0knPuVrrIfr32VnWk6JMg0Ua37JV3ZFeBfguq3R+A4c78FMsLS08YEYnRQTHo7likwUwhQoGPoANTk6tTULOCMcwBFkc7Wa552+xp21qvT8wzIzgpdqT5fqlNKQcphcVu2wHDyCmFPyht4Ufqe6/sVjbYbyq6vPvCsZOISkUtEm9OqO9vdxW1X/gvoBQS3Ee17QYeeNLr9N7B7syDb2z8irijL/uz7eyWb621+25K/sFXENRiby0E/AFUbLb9MgYrmJsTjcWEdAFgrxP7ldNBOx0cHpizBpaqzwkcvtXjOgHm1mcoOBux1U/yZ82+lrswYGr3f9VwAUFypEuBF5VzwinB1vsWzUNrGKmRhZSLJ+dNMkIZHwfjQq4n1He87LIJwicgHxePvGE30AQjmW/fPw8WgnJreFe75vfMXI8oInL6gGvHha8X0wHWa3rMqv7xRNNaWCU1BeH9xsT2/BpSnBJ0Uzz9hIjV+srVfPIYQ6pQkYLuJ/foCbN4tbatQOgeXt3SW7R6UFVmA11FGwfI6NIr1tx9vkS8JmDhSaH2XEY4Z+n7C9IF75vTpACgQb9UUmy0GLoL3z1SfL2sEckC+EZx+OHKsk1XwXU9DbD3TSXD5OCM+B0wfWR1ve8HieWeRkf3C4intU5BnRX6bmXY9R8jGe0FgDhSPGbUI8k1gJVcBORNYbuCAXtvqXhF9u7WzysStAN6DKMGLmoCysle4TorlLVpCzkKFtWoE9i1z3Bj9/Wa+B2r6FAqMH8XGOv3dr984yZXbIxcsl47SmwQ9RNiPm7M9vGqV2aEFa232oPeBvejlk6cT9PnMxPYwMai6OfCg2w1yv+qXMvpYtf4aqYq4AtMnzsXaMikpWbhoYQPufk4hjNO7yPmiTrMFETmIQGpuQigumhLWAh0odOXOhwhnsMMXKHY4ho3y92qjJmoC8hwakhl2zkkqK5qiQLpUVqoG5+0rpkc6vPM7Q2CjH0xs3BYFxUA20iykIT2GEp+qJUIM4qQIe7AECH5gDwE6EE0MazHaLw9QUjY90UWbXVVHwfqKYkLxws/2aq5Y0Oky5m0zbk7N4d/DuSIsiuSVZKlt3cOZiajMA6paFd8pVgII/HlXlDFguefG98Nku2UlLp0qRhe1MdpheDhDz2e0CtbeDocEXTdoKUxE55lJ37pZpXUA0tyqwAB6cuqvjdVexAgZlcGSv/80Qm6O3AdOiXZ6v/dI50xas1GiFWiVgGj3H9Zo4ITfN9HUejJwY6GdRauWx8VosDu7Y0JltHuvdnvw04Ji7t86J2C+2wENQJk5XuCqT9zfvwBxl9ju1WOHXd+QV5k9yc2z93iYiNwIbPfe0yMomyGbK+gMJzI7XDymqW06NdYDPe+P24ySmmBBcWzJjCiwzRHbLYOhzUCc9V4ajRrNlgEYbccD/HDh3Ob5Y4ELXwBAWOo13XRHT/ZeVdkKE8UYUW+n9ox4XbSTYgEb19f3UuHoIQHpe8X7DncsmhghKUFqAB7Rvga3K78moCW3uCzQXGi3QSDzRBsIgS0cZQcolAq5rPw969fmLE8D1LyK5cDJsiIsKzAkVBtd1BJkrxguBeMnIC6Roz4GoJ4YnIYsWMpAIaQn8ys79eJgfbNX/dUwNo4zFCYK8gS7FwryhCv7rsP1vHNPCDVIS1YdFdjTpJ2Cns4MgOtIURrvF3b/XaNgecN+Lt8j/FwGAeOHgOHJfjZF9qN9yAhVUc2ua7T+Uqeww3x3FISlkOUEv1aKPUEEeY48G2dWNeoICnsN6ArgRaC5722vIkJhgnDXVT7vqQpOES30fTw4arPbNtplM7ryEIy6aW8f6FtEFWFhX1qNwhYPE9viBXEfyzQaXZvCb7pnSAwRGnoJMSwZGgO2L+6AAMRTJsNnzRytMw6or45WLWPVLJ63BpSiVCBF5FcHYLQK783EqunjBTpEXH54RBkDDl8tSO+fUY8jtldzO0MBtKTIbQIiDbQ8fC0N4Nsr5TpYXW1WpQYKasbVNRBqEyZzRktr7ch9f7HC3218vTVBGasmD8+MOwDXEEEDVPYq/lcvj0OVdpIuZKmt3uoxOBNGUQ785bBKt/vaK0/7+MgZMABQjzaqyQEeBZA5fmx47ECrwkFVxXpvfZsHweUz3ktc0Hx3mY1iPVMAaXigQvjwAIxP2pJZjdwnHpfFhSBcPFcm2Wdrt5ioE1DHgO3IsDuddsyciAaM1taqRr8CcE+li1XcZ67P8ETGYLj4CDRFqBVhB+YwAeT7TR8Ux68r8ix4+gnXa3gE0nvF/KHi8OWK59+a8PEfAjpVHH6eMDwBD3+U8e/9g1/gz758h+m/OmJ44sgz0rIDtoNY1d1s6sz1TCc+73wQ0qaPivUnC8JQgf/mgHQWDM+Ku78ELp8Jnv7xBfNxxeU0QteAMBfMhxXLMmB7P0E2QXoOkIeA9YcbPvv3PuGbb+8Q/9sZ8cxZs1KA0w8FKVVc5orLG7IoGJsCh68UN78qyAfBehcoePX7FfXA54wKzF9GvP7XwHYEnn4bqAdFscq+JkB/MSMKK416LPjf/JN/gf/1q/8v/nc//1/hj//170AuEeMvWPXcfrgiHDZsjxPCE5PL56+P3DhWoV7eKMoYUWY00N7ZdmHjs5/fC8KWkE7Aq7/ICJvi8iYizxbPL9ryA9L4eysmANR7xe/87tcYYsEvPt5jWQbUpwFyCcBU8O7NI0oN+FZvkS8R8TEifSQgcXlnIp5n0wdwzHqz52uVVaeBNzFfS1aHJ/MpY0CuQD0WrJ8VSFDEWLGtEeHPZwyPgN5SmCteAg5f8az2fKwOwPJaMD4CN39VUXZslL/t9ZtXcn/d6wpZ3aHjpXJG417c4SUKC3Q0QOywduXTl1WAF5+3bzWi2I+hSllb70XJNAanSLiKrzfMx0X7wf3ynkTg6mdt1lwU+ExeGppRrFZDpsZOIayGPquLeHg/X6u29c/WYOdGEMCQLadhOqrdaD9WTaomza3Vexf7IxDdtXC2BKJXYtV7RStapchfjZIn9oy8SmfO2YUz/H4c1al2ALf32dFceL997cWRIqt0qRhKD/s8+1oTq2nvaWsHsGC6B3hszYIh1i7yFQYi621QvD/fEM3eImQvU+iCTt/3aoG4gTb+/37YWLW1PQjYhTqdPbx435dU/r2w1f5ndxUup4iGUjlHD8HQT3M+Psy99QJ2elRTjhW+19UYFa9aQa72WBsnEqVRJf17ZeZhvEfbezaPqwQB6Al0/wI6i8JiYTVhFU9wKYNPe3Glx9abu+85VlgJymznO/5m9+ydGXLlV67t6epaHOkPTD5EemLvVL3Wi7uvJNcX9wtPgL7z5e4f98/dbKj1gl5Rzm0PZUHMcrX3UAWiL+5frw+KvYbAd9fCEtJgiYlfW7UbKAp5MSv6196Pg5sA/U6jOVdQkKT2M2D3fk7Ro6JxNF/AKk08A2l0UE9b325wql/YCWbtt5gvifQKLPsuFXVkJcWrK9j/7a33Rl1vldhdQtzee5f0+ffwwq5q7GwFNdEO2dkv54eyelAnoBYPaoCrUUfg/2vstMpGU7ZH1T+Y/2HSZ+CwU/GHDlCqtaFyEg8nEVw/m27Dnsxf+ZfvsYV9NbdV/a6ey46NpX7GmC+qnC9bI5M28TMgKEX59tdnwm0I+PWvVqK2z45CLYpNvvujxSpou7YLpAi1ii4yZ2fLLulmtderd/Xap1dtTqb1RGtoNuJMJ6iy+DwIMPJaW7Lb1t73La4SzObjzV/7mUkqtbbnLhUNvC5jZ35J2Qtkookk+agj93nN79lx2VhqtjeKgzmjVU5tAkAdFPXQkz6prDpKhrF2CKxEA8SvEmw7i5rSfeCza2wj6X7QOSmuqVDGfQzGnymTvqgm7h6+xy9hZzPVfsyA27aPQDr5S6DXgYmu2C7t+rmu3cf48+V7hNYaJtWvTRrTxIGKfSU3VEBWPpd0YWKtoY/OadV+u7f2WcUqsQsgS8DTNqKusVFjW0/1QEDM42mCmL4+aLoywcamYQ0cn2f2USOBFI9V1UQo/WHoS2FYfxxbwNN54timiu/8yZnV4c36XNUAwu1WcPq8syGawJhoG3NTpoBiM8CZbGpj3gE8WzUpdOQM2nMZ8XW+x4flCDlHPvNiDq0dKLtnn9xJ0i2WS7D+dWOj2fmNisYsgMImjrg+gYEwk/lGa2P0/VYTqJVn66FJMcSCIRTEWNnWk2yMjwDLllBUeJ9q+6+YEndSU/qX9lz3zMy27spnvB9tR3/C36FuQ0A2dW+tgpwTdPV4xt/T4wJ7j2LnzW4v1oQrFfG/7fWbJ7mlAmHgjML9GCELYnRIpMU1xd5C5cEg0GnsqswmXtL6U6zioOPAKsCQWDGo4GgE7+8CdsFXaMGgZFL6JAjURhU4QqoSWi+FP5DtwAc7fywmlLBzJnbAeE+ozsmUntGdqC3+5U3E8oq9B8MzH0rxILwFHHbZu3+78YxPwPhQSKN5FdqBQAqu9eQGQGd0sZJKivL62iwtAKiKLQhQGfSF1WS6n3lYbbcBUvucUo0cbRS2iuFhhQ8Z935np1o5lbMdCAMrW2WyvhU7HPgZlF0PRrUifZg/my69l8BFhpoRmw8oc0S+iT2xrcCsYCAdApNeG2sAgaHVaAe2ir03YAIBHFZeDsEOuBlhU4wfV1aMxwHyulcltfSoSHMGZITEeK3A6d9fN1zNwgWgy4tdGGPvWS/G9zOUXHO2vSSNrvwdJWex3lwbrSV7un9mtVtLxVAUQxSMDwRh8iFgs/4sDyYbNXypVsW0REr5uVIraoyoU2pJbUs+BUb3YjC8nze3DxaCHZTeK7ynrjktM+yC35pozx5gA+Ykk2C7EY7/OnL0gCYOlYfyWiQLh9NfeOCmRTq9vwBVA0QMrW2tENzXraorATDhI1GlCngQqyhxzcq4q3BZz4jaPGLxGaAbWRRdHdP26MEVTWvzOz6eDGvt1ds9K2VMJrTWzaBMrFCXiZUBjR58drsfkkBjMWpsNVMTyKAIxkLRnIEMqPah6t7j1D7fRdQcXAwTpHT0TGOgPwZYtfXk1X/+RUuJpkifv2WIUtdAjxM0RoTnS++LdlArmFhZZfJAqr6NE/uU2SYxcQ2Gk+Dw7W67FGB8JOhTB0E+kroYz6X3k6oSqLFqrR+02zAAwnYHFxjLrs/imFb0gHwH5ph9t4PfAIiQFWI+SBNQrd0BQNs7NQHbLf+dDwqdFDVVyGTBf6E/X5UVnjGJ9SVbgF+lB8eJFT2piogCFLZ6dBVWZxeRSlvuBpQ5YLsJ2I7CcSF3TLTLwQJAACqKsIQ2OgZW/WrtNLAAqwiV8HfVBA/exe6FQGqwBJTPu9m+9YSWObRkhlRNewYHC97s3CRlj7TOUUHV5dNKmzSxvytwaV/VHQPKnLjHn8m/q0OEmjZFKBU6JetzVsT3J8hlgc4TdB44vuZAv56eVsjT0uy43h6xvSM9cfrmTF9btDPBSrVAns84nUvTwag23i9eHIDg+q03oVUPgyVFe3HK4dyVnGvys1NR59jEpBxkX+9DW9eavBLP3tvlDb8+f8MqWZ4Fpy/8HODnjZ94lg/P2mm8BjQ3iqYv+SQob8zO7wjalJsKnSpkKjjesGdi2yJqDcgPI+JzwHoHxjGL4PBtRVxZtXJWDunhHOnmiV/YOhPLYzkf56MBuLwK2JyJE1lJ3t5W6GR9Tgr2PJ9CW1sI92eeyZBzYTCvtHtxIh8C1jvOCR4HsvacZq/ivsHAjMgksUyu+iutZQtAS8LzjbTEmHGTNDXtciTbJFwK0qczJO9aPpQMxnRRjJ8K5l+dIF8cUIeIclDkhesnhSrgeRakJ67h/K1yxGUK+ObxBzg+Cub31cYFceTQ048DLp8rxo+CV39BG17uuc7bDdlO87fA2z/NKKPg+cOAMtKeahRc3gmef4vAJj4NWD5xzI8AqHnA+RIt4eb911lRAcy/Shj++3uM1YEjtBgyXgSXTxOQFI///gYUQXwKkCp4+qdnfP72EV999Qrzn5EZFc8C2RLqDxbc3p/xKDd4lAEajF0gSsXkzew50vfH+w0hFvxf/80/xP9F/xHin8/47C8Y456/4DMPDwn5FCmYVoB6W/GDH33EYdjw2fyMIIp/8W9/F3UZEc+C6X2/D54/wHYvSM/se40r7TkPZHGurwnuDk+MSfz31reFSXgOQBboXcZWInINyJn7K80ZclDkNeLjL+7J5lyN1bmaSxJAB8ZZpYppTQAx9laJuPL5a+A4pbg4eEVhsdOPiALNXwfE98CyRqwKxOeIw5disRGQb7k3hicGkOcvCHKND3zG0Zit+SB4/GlAWf821LK//t1Wcveo/+5rRJQNzdXdiee/074u1+9jQiqQ0GcTNu7SC2TY++j81Sh9RFPExKbUqlmkp5BaUkbSFjTCaLIFZY6NL956uCKzBO/Nc8VHd6ye0OYjr8dFpUhls+uy92pzW71qu7t08utd2t7eWgFAEGtHVFvVQMGfn81BV0BEUMWDZsJrXplVC4Ku0ESvBjnKVhTiaJNXq8U+b3e/2g7I7yKiOngiEvrPG7L30tn7NeyfnyYGsH7RPlfxajyN0a9ceRm5tur0fr29etOq6MqgNRqwIgpWLYfdltiPjfjbXlUJK+2DKK29BywEE7BhAqvez7h/qUXdNbTv+ezKq+qjUztf2r8qnxnQ5gaLS6zX1FC4ptBqFM5eaUEHE3Zr26v89sfep8wBxWia2xGWbKCBLlBAM4NiJgC9qtTEcHbIHD/P7McqWl69aEmAIf91qgyMTZavokKSoGbObONwdyBAoAUAKAQke/tqa97vdd+rdtW/1noAeY3es1UjbdwpQhCg7uDmvSIm0K9p/7Wr+3dAza9HtSUkzYatuq7GnHCaa3su9v9xA78vO9Tfm2T2frIU2CLt1sT3fdjZXX9YV9Vekd4rXitpzTuw8TujpFplevf1fb+xv+9OAOtq7JH3LhfSMFtFyoJJB2LKIHYAV8RzQU2p2Vb/XAAOZHgvXNwFw7FXe8rEw5XXYX9ZFTVkaQF+678r2v2c+7rW73hdYW9sBWP2sIeLFQQkRZqp5JS3CC0CHThioo6kR4fWD9x9tMACa+3/j1z5RyIwCFxHgwrVexFBQ8rdtv1axO6pml2WfmZfAba7R/my19z3vTSb2n19vx7OfEpu39jROHFVLaAJ6dWZxH5rs8nvYxTsX9LPDsn281bZ7voHobfDbBl6WUz0MlyJS6HWDtRsGZwva0DNJVOAzcYMdhZED2ukcE45UmBRrNoYqgCCzqKIA9VgSXagiJoH+V51RZAWO/ja1ihtykCN3b6rV0oTyEipVl2bmPyxVYvPoBx2oZsf7Qp0xXx08Gb3b98vpVVvCaDoVBEOGcOYcZyYnC2xopSAU7JRYC5Kgx5ftAq/xQk+2soBHgYFLszU4xtXw7/y4eYX9FAwHDaUHFBzaLHQ3n5rBHFpAWoRa7XSppvi11gGgYpdm9lYXwjfKGhAXk3dz4RdK4D3iTbgeLM4yF2RWIsEAsJSvuM7ARhlXU2pOTMudeaIASVkSJkQlvU6BtNGGR5pw+lsOinqQDSB53JToY+xFSs4xYS+oQ6Mv9NzQVwE2zFQ7d4A6DIC9YZxa3zm+U1Qy9iICsbYvmQ2/zUsnJeqgXFBX1vbC0WAsWK4XVFLhF4mYANe3Z/wTz//Gf7LHPH0i7Hp1QQBEBXHccPpmJFvXWRj96ycC+/nu30vfxoRTwHze8H0qUAltIqqvKANI1W8mi54NZ3xO8f3CKL44/GnzQe4rgoZF4yX85GzyN3Gmk7JSFp9m1NrvpGJqXLe8aZADAipIhtzsFZWbEMqGIaCvEbEp9gZlQB8TnMvndszafsInbUJtN5crzYXYx+VWaCTQk04gONBBbIFxAsBGMAoyQPjH45zUpTZJ4FwbYIxOfJsdhf+Dr/uS/73+qm/7RUDsFVoLgzgZ+sb22w4tQdKXr2KsR0a7JURo5aVzlQSQTXRhrDaYZELhYH84BkD+x9hvXQ2vkKW0gQJ/b388+PDCs5Zmlj9A8Bkt7ZqS7Sh7qwKMhDw4DYfIiCxU4piD4bWu2AqaLQI9ktJS7JUusOKizVVJ2B9xcsYnsw4RirBea+fKOADq6sluux/leaoXNFuuF9RSkC9xB3tA8AlUHDABEA6Rbg757AqRxwoUI6smLeZuImJfShcF69wZEMfPYlv8x6NNl3HCgwV9QBsLseeuyCBD+5W65tOpkQY12o9dKX1KIVS4bMo6+yHX0SbsQgbu5HYp5BnaRTAFvgIel9ZbX4Y+SahjgHDxwo5ry2YRumIKKurxkiIEWKqynq5oIlRpchk1wSqxGntQ7JItLKnFsCVkVYFxqFXcJ26njNU1YSrlD2++4TXkwyA/Y+FFRsXLtCRyW3cKtT6btuB7TSzrEZ10tb3rNOAOjPJEWNYVEv28oFVs/Um0NGMROvc6bagxqg3cWECMDxrtw+RVvFUsZ71fTCsPYDyWbQ+V02NYoOokNEO8xE8EBdWcssIrHdyNW+xAUsBXUzNg7XgiWAPRHjABGy3CWXuc0LzvPuZWVEn9xMW6F3Q6YXwwI7CWI78u83HlX1brXprNLv2vPe5p4BV0MC+SfZ2saesiejZAeR7ME+JKOsT90jYyHRIMXQAJSXsVWdxWTkDXMSYAhsQu8ZCq8xuGbJsZNjczs0eBaBugvv9SNuSLaNpNmhAYzyIcu71Zl+L8Rrssj3kgmeyFcStsJJ9HIHI6pdeLOFPPfj1dXagLBiFmb3wijz09henGfI5W49Z7D3XxSoTmuhrO0hngaeNkvDxXWVmMuGq2hAGeFdBgz/bfVtIsEDO98FQ8fb+hKqCD59uUDTwLaxaViYCU/kgiMnojFGQLhXDU4H3uAJAuR0bI4DVG209/WGrSCcPrggUURUWRPLHysCxWAAyeqRn51uwIGuf7HvCrbWp+bu9+zX0AMpBBva71oHVsO3Qq44w0LdRVWF09E1RsyAxo2dSWXg+yJA6G2G/5k2ES1tLkBiNXnJF+nTmDxpjzOJurvmrG8hxJiXWfGe8MMHQaYCOCbKxT7LOiWwZZ6qliHI7oRwH7nmj0ueRZ1m8cM54nQdsd6aiu28nCeA5+dGd1wtj2n3NAfTz5wNEh7buPgmhCZSByet2A4gKLsrze31boEnxFCIunwWLN5yezOA9H+U6CRzoezVgJ+RJO3LKZd08MRGUW8U0c47mmvlMag2o1bPZnkC73gJ7x+3MSQGD9bZS8VmbkGIdyQRoo7aC05P3oBbpyZoAbIIcEimwG+0tv8q0eyEN1XUfwk5FmgwkxlJUT66YLVbZ9xEDZOGUA8f3xFpakcAnUvgaulp/o0ZzuTh+8ZM2gBoCpEtBuBQydqYBmro/326Ak1eV7wLK4R7Lq9ieows4xrFPuZg+oFFe17vQAYZIH9YYFACOXyrmb4mmPf3Q2Qk85w5fKW5+SVbKV/+Eb+J+Mp0UsQDze0XYhi4EJaamvQrqRM2aclBs7+hY4seEeGF/76d/gFZ1jCs/Ly0EFsLdBq2C7TQCS8DhGyZVj/Ut/s+/vIfkAJkVRUAALwIpFpQakFLBcp8h54j5l+xv326pUu2vsArkrw9ABcbC/XB5qzh/bsyqWc0mBdgE5bZCDwVxKvjmdMQ5D7hJK8aQUXJALExm13tLdi/2/G5J49fA/CJsgvGTxfCZSse0K3QGUFSES4BuAzAofbcAH08H1CpYnibSxlNETgo8JoyfuGfXt1TUnr6JSGeep2UhU276lnabj0xA6wSsr4GwCOb39KXLK/6OWJwdNuDmLyPZG68Uly+0sUqlCs7vaPeXLwr0UCFLaHRv7i3FdicoB8HhK8XwTCbH9CD/A6orB4OLq1GQ54Fo6MJkQbw6sqviqomQXIlM1b5zVKSNa5BSbJyEVQligN4coCkYDYcUzyYSY4H+d3rJckU4XfplrwMdzhTsgOf4GR+VEWoF9qyPJCZ6I0jnaqIDaL0d652N0DHKQI2AmhKYDxIvM1AnQ7ZOFojeEI1KZwbGZeh9L34ANSdnfVGsZvWva2B16/64YNkSLplBrITeS0DVObSk23umPPiICwUMNIpVsW091ZNcYbx71oYAbzeGBBuFLDiVOqBx+WWoTNCPAjVqTOt9XrVR/iBCYKH0cSpeZWyiOYD1yCV09WxTLIRAR/Tqy169MRrVMADpCU3gCB60zIKaOLtLXGBHFVc9uSkRZQyBCWuKNkvXwZsAiQG6r+gaC0GGgcH7snDcjgiDd6PoAWACu68iq/Jw3ffkyq/Z1C0psj2WS7f7MUG2yo1eYTNYCT45ddkrPbIVQATlZiQd33o/Wo+EmL2bgnc+Wt/WobMO2OdiVJ2VtsNDSNocN4I3Clk96OKbB+vF9iDZBae8J9CDEliFS1KFBEUQhaqgDL1aVw78nPHJ0Ff485ZeNdyDYfu+6sDqqSZS2320UbHgo4G7doDoFswpC+/TkXjltVQYuJPrLtHHlV33HndufMkVV73LXlFPrgpKIMcZKB4gNIQ/CGpS1IsgbgZWiClvupiYsQtYFrffW1dAaK+oFVprt02rwKqwmsW50CbSJQJZONe5UZK9Qla0gZ5XfwAmET5LHWg02vbyZNm+LLlyrNCQ2EIB64NUQGpEMQnV1rcX0FRxw6atUk6AkgFJsB5e+i1LcidpCvEOUJYDKZb5TWZf1YWzdWUDYtpVdCsash6Fvq4KkHXXI4u+nb2Xil9ET/wUCKni7eGEUgMenmcUn4GpfAP1CpDNbPVesrhKF3ky2y6HiDo5/dL8qinqOqhYJ0EcA0pm4MbMRBHHyrmE2YLvQa2bQtq+qknZru37QwQiXYRKchcwbM/ZW1/EQduAfKA44HZkC4JX3fZ6Do0RdDJBFGGi63ND+Se2WOM7yWCE+TXtyV4wICwXVlydlRB3sUoUlBtLGmtvGQkLbdiFGWVK/Xs+3kt4TfWQkG+izUzNPIq8xSbRP5UpWksRmkiksxQ8kWrAHTwBJgiZZ59r34WR6uD6I2pgPOzabBta+4UmY5ENinC7IURFHhLyxv7kcAntc6UQZGmVx2pg0C3XMixm++a/wwaEMyCBwJBGRQmKedygKsg1QFVYafJ9YkluMDADQKuUeq9i3Ljvwsb4oflnA7iij+EBILpTnnb/kBhMowp0DZAlECy9qYi3GTUL6tn2jdrIptzp2WogsO+j9JyRHhf6mCldg3ZTpCaIeMXTwbRdJToyVoTsRv/YVhtECF4VioZCANkq4vNC2xojJ0/Yq0yAHvle9BGJz34XOzp7pAy8n+GRtlZGYBu9Mm7XZYKKXiiY3xNMO79LePhd/tz0kXZ2+FAwfsz4+IcTnn4/Q4pg/lW00TeMAcZHYP5gVPgfErCd3ivGZ8623W6sPeOQEYJCvh6QngXrG0V+uwFrwPApQk9c/7hSkHU6bFiXAeUUEE8B4ycC7ekkqL8csL4Cli+KsWUqEBUxsgKZUkU9bNjWgOkDwZN8BFmJ1VoHz4LDV7R9b9M7/Ugx/PCEWgL0eWD8dokIBchJMd6uEFGclxG5RHw6zJhjhhoDLR8U5bMNqED9xHiz3BZgqshJUScmgBxRiibqVA4urMXkE9ZSEi+C7Z5zhQHgchnYJnKOkNUA4aRIzxQyrKONaDoUAHxOZWQSy+Sae7DMgjoxGcZYEZ4S5vfcH/mGfiSepU0BmL9VlBE4/7gifX5G/uqA4csITRQPraNC3qyY5ozleUSJEbIGJtmBSbUUwSxAvFQMj4rDVpG3C/4+r988yVUFphEyDuy/3QoDlzYTkReIXJh47ahDFIYSHkSOthaFaAEWOkMPytRpQwCDnBUMsCZDp/fVrZcv6zGEB1oi35Fhb+ogkYlTWAtVHq03xrhKLdCHiQA4MigZPGgHaT0yIdvPW4WLA6EVMvfBx5KlxzS7YOcqGHJKsyUSPscK6AgOADyfR87mFYVAoCv7GXz+r9N1IErapJjT8nE21ZR5RxfUQkPbPRAoh9iqGOlize8vqWbmrGUL0CLccCfpqmtOWWriPUbnKmE3VsXfz5Ahr3ZU9hiWOSEf/XqtyujJyIwmhuBN7y34N8TQ0T9fX2miUTt6296WQgQQWPXSDuLwewKUCi0r/+3JqiPw3mMuoSsm+5q5TVuf7f73ECOrwTmT4hwj4L+/vzbrz9Ut9+9Z1QtFEbdwJeB1Reu3PSm6u6aqQLM5o+ePVs10aqRT6K6SW/BgDt0GyDOxylDo1QMX2dm/GK/tkkgPRGxrSiXrA9kSImNK5EpqWVyvAy5SBdGqDn6yq1Aan1UlMDD3DzXao1Mmw6popudtF045XgUqNq9yQ6uuifS/vQrhNKMgCrEeLiZasVPGPWi2RIy07tCFVUbOh84HsijK3PdSPth6K3AlfAU+i0ZFMiCkJbgS2s8BYM+3Ke02+3OWQiB7hrN31WY+iwXatn8Kv4/MXk9Z+ns3xXJXxQ++SPanmgKsCw3u7FQ8UdglyZxFro2VQDVK6YHhjobc6KCVIBrX0/zL3l53+8d9vYMIdWQggWgAogE6bdzLbv60VNjMcwcujPqr/Vpcy4SU4C460xgGVVCWiF893qHUgNVUR2Vjf5lU71f2vbRjZwRgu6HqcLrsgJQXe8vprK0twUBIFwAMGZDniLIF7qkqkCwW+MDmYHZgKnhfpm+TfQKP3b8tse2zbu2cSb2aXsYOTnrLQj4yAHdBH09S1BVJA9oz92fZqMO1G6PGAGzKWblDJAC17qjGIZDSHQLURxDZWoktopQK2fqsXz5nYx4kIdhT7WwJiorUQcXC5wTlWTc8ZQOPdqwKT/IMkAhAE1Z0Blww3Yc6cYRh2BTDTstBo6IM0RgHPFvJupLmL/agSk2A3hRIVP4B6BNttEc1teF4kWa7dbBrcRuw3sVGBVWQYVR6HNL23BLx8HhECBUhGuMgGxOtuH136iTnwBpA7wn6IJAEU9JHm9bgKtTiMRzQEs6wMeHxGbYygLPYBUBklQpFUL8deb8nO1+sWLBnorVihHhBoPtstRnjeyFFV5jebtgS57OCvaJbJkW+5Xs7E8pH/0kF1vvYGUoOVi0ZEiu0BIQdA21+Tz9Dxgc6vXQVNCZf8fhUrODR9yjFP5nIBS8euX9QVtK3I6u9wxP3aj54a0dEnpiIH/+aMVFc+5nIf7ParSH00VHR6d4wDQWB/HJGTYpUPZ5WIAfEc8D4kef+5W3A5Q1n/G5PE/QcMXyg7Z+/UFy0xwbr64rh3dmqvQNH+WwRa0zYttjAxPUeCEWw3bESiyJsGYmCUyII1XzRXHBzWHC6jChlhLgIUwUwFby9f8bzMuLp4YA1Kn453WNOdJj5hs9z+HJo8ZEGRTgHYAlIz4LhQdr32tzy3J9VjYDecEwQVvppj+0BQAtbuuKJtOHttUJuMsoaGsgiGws5deS99wKGYnktBOtXYPomoBwE2y0T7zKhJd/DoxjLyApysQPGeWXy7iOSoMyByjlhqQI9RcRnxmcKutM6WPw0AnUI2G6N9r4B+H/i73z95klurdDbqVN0XHxk2xolrv/sLnnw6hOAOieUeWBi+XShCIvkHgQNqVVgJFfIx0eKprx9BT24kI8l0E6N3n92BYOuMylIjvCFjYfEHvmj8iAQT5UjZabE+9vdRhkD8uQBPg0vmoJdMZSMD1tRJsHplaLOpnocFdmCbTcYn+lahl1QZwIDjVarVj07WBJg59h2pygT+6q2hwmIijAWIjYXoq/N4TdE3KxLYTTAnmtBfKyRzUiMXfSqFu918gOTc/mu+m4C7FAk2hWXgHimVD1pzjCJfkFZDUE2sQWVgGgz5tpoFbHnZYJA6WmleMrtgO0utgO/Rs7qqgMDI1ffZeUcbQwBRcCM2nZGQ6VDtqqaV0FVsZdvo9iUSbqp2qghr0YEVsBKgRwOkHniz+Tc16VWvocJreleZMoT3P3YFrP7Zs+ZgZcejDtkgE0Tn6oVcs6sOliSLeeFyXU02t6QUI9DYz3ws9CTB3uFTDGUmgLnZo7BaMrSe6/9T1MY7hWRNn8t9CSCYAp64DYIqvdLGZiiqQcB8YL+HqEnbmET6EKmgg4VqgFYSafxGYZhQ6PKeY8qAOiGxryQQpE3B5B8bFZ73rYecTWxKjGBFjfLajaVY6PAs2S7C+IEbQQALGGCAPFCe3N6fbBgNagiXKzNo80dBp9BpNCUJsF6K03ArYxE/bf7Sr9lB66P4QDQetKk1kaXbglukJ5tAdDjDGBAGwVnysfqglyLifmkaIJYgftGFbJuwMqRGc33e4vK8WAgaLYKmfQKW5tJWmjXYbiik0KVn7nRvhEj22POWwe/7JZegp11ikZftcC4cLSIxkCQLFriUNFYIQ7GMPAzH3Wr7D2LnUGgMVjbp0A2tF6l4JUnBzkTAZ5Gi/a19v3h+2jf5+Q+/hzx4as7QAVyDiZgYoGmBdstAEiC4cT+O42Cy5vI3uwgFkhaECkgCGr3DvBM8xEmsn9vNeqvV7yi2zTPrvRMimDbN5Z07+8vOONmz0pw0SATBHI7JVVamrZFvkGrGpVZsb3loo7fRoRzD6YAQFc+C/WEB0xEsWXo5QItPcmtKZAldl64B5fEVier4KqNK4SNIdMhNvG9RnHfKsJp4f3ECFHz1ZBGuXZQBQBg7DQAHMvnDIRcMDxeCEZPsVW5XbMCe0aTamOgaVGOqKn0ERoCGVmm6tx7zbmmztqCCIrZplOw2/6fKm7enCGiWNeEWoLZOsEdHQHdAsIaiUs53RXSYrC4WoKSd/ZgvtEFrqrFQuEUoJcJ21wR75iclTUwwV2dIYPWcuJ7KWwuwkMRpG5/FFkKWc2mYfRsT3L9jOE5UyYaXh2MqSdoyrnxMeLwZbxqG4kX9gWmi2J8sqR8dHsG3yOHVtHvStUcaxUWxfCUkQ8Rp8+jJZDS+pTzDWmx4d3CkODrCVEF4ZlJpChw/ozFgOmj3euaIacLfagIwg7Muf+rDac0cRas9rO29UZWB+IoqhU2sVFraNM/8mzj+gppzdeEMr7v8Awcvq4oo+Dxd4SiVjeCy0IBq8//5QZNgucfcOwbxcqKgT0GNi+hXWM2Ybm4AuGDYnxggnP5vLMfZQlITwE3vyQj8OMfAfl1IeX1mwHDU8D8Nf3I6X90xv39GZ8+HoHHAendGf+Tn/wNPi4H/Olf/Ijzd4eIBUDJAbrw/Ll8UXmLb1ccjiu2NaGsEWEsuL25oKjg8Rd3SI8R8Tbji9sn/LLeY7VKqrcujccN/8HbX+G//fADPP3sHlWBr+o94sBROvlNxvhVwv2/pR08/S7/Hh4JKE3vFbe/zFhvAz79g4AysU83Vm5gnz97fMMcZ/l4RyCjiCnYAzUHYIkYHwTxDKxvFa9fnfBxC6gDG5vDElBVUGbmFV5k0Ki4/JDV+Nu/iDh+VbG8Dm38Vj5yj44PjG+W16y2O3jc2pmfE0XTvDPP9nV4jtBLwPjIhL6OwObMkpn7LB8Tyiw4fR7w9DtAWfH3ev07SHIZnEuuuGp4jxFNIdkrB04T9D+O5lf0xNQDbhH+29Flq9aqCGQcIC/ozg1N9cPNBST8kkRazyMTSJub2cYq8DO9eitl9/ueCBm9slWw0EVdGgWmGrpS+9ecP8/+JHSUu72P3Z6+EOSRXcBjKKYmW55qFTT7t2aBIEAr1eeQBfESuqy/V7csaW6CLRZUSRGEHND6VwNaT1rcJdseLGoEFDZ7dcPVNXs1Jayu1oYW3LUmfEXrl/WRNm2mpHrCZKdv7IlKHUnz9eTbKyAuPLGvyOzBgG4n/fBt0aZvQv+81ku4o3GWXfRWnJJc8HKerissq2pPgl1Abf/a//++t7ZdqLS+RhkSb8nBHoD7aQ/k+DXvg3zfT5H/L1Ypo3FyD4Zs1Wu/FA/gCiDRlkiJtlaYrQWvvPuzA2nxDnDA6WY7Wwbac++g0osAq1GnxCqfu9/126ygvL6gHUSyGJWsvDiAfY+p0TgFbTxKCAyCKOJBxoFL8/NS5cqOukiaUVIFDYRqFa79muRe1Wr37geG7bHdneM7r0hEVW3cB8EjXAu87W3d7Xm3zxviXtFofF25eWebL9g133s97if3it57ETRV/n+MzdZglWjZ+XyNgZcsPdFxkJL3HdCU8gEoKpPwIbH1xX9nL1Zl44ak1H59tt4cP4BefXb6rlh1zH2B+1tPQgrXu824LQCMdaObKSMXq6Yqf3bf2vy9nQViK+ufszsD9mI+3HvSPlut2i5ZmkqnOIq/92Po+4fiUcxiwhyguWfXotr2pwbzTS/M0UGlCphgmwIZiIX+Xb7Hvvf7ZP+1du9RmCwK+uxh6fcOq+q2a/cAaf/37hp9vby/nzORjUZaDfR2244RHAHhv2f26oDgVtjq1FpNDCy0BLd6e5RiZ+9gEryLT9r30d1fr/Rd32+VQD2AHLpt2rX5H5/v7N+XqpAYIKYw7owVsf5PAgX7a0X/9+5awLClgyqwytAquFwGhjJFoCqcMtCes7R/76vyuruvtp/8Z/z5pV3vqX1N7BiVjawFAMDGN/O4Ab6/tL9fmwm6P6ZDv6iw9bgAqigT16TpnLhP8AkAFrdAeN8Iu3Eue3B21+vvBQ7X+9Dqdg6UOfXv+Vlv91FGApasdElToW7jwKKaqJFxBnZ7q72Pup2gn/1A87P+8oR2eEKfqFAV4T1a9bYOAKrVJmwvQUFhsH08in6e7J/t3oZaG0XgbNk6AOlk76G76vsoWF5F+7zQEn0CfbQxZ4k4QwRQVic9Nona2BuA+aMlWHWa79HAeBUUsw0NCq0BT9uESx4gUaGpIqSKmAp/Vjyu59profBfWSP0ElGqYJtjJ/0FQIStU+1aWu4B5C3il+d7PJxnq6ID5XFAjamv7+68dr9erGodNsHlTFAkLLy/OgDbHQs8Ylo36zJAQiX4NNM+yuNAm5oKdKiog9k2yIIjOAP7mwAPXOzL9wdYwW5tZFPXq9CgbM00cB0WC0oWAmPudm1PI2j7PD/7uMek5wd2Du7ZJmUEtgMZhVfz7v+O17+TSq48PDGRHQboPALBaJVGFRLrpW2iIp6clgJZa0vw4AG3+sErraJhkDkQBfnze6JWhV/z3jYdIsrtyErd44pw3toBpEMC3twD4IE2fNrxuSsgOyVc/5lG5bTAafxI6KCOsdFSXJRmuYdJ8BNh9N4U77elMAoR9tZzGJVIdTVkfCPCWQYGT0RaewSTZ/7ZOx2q7aHTmAEArC4NDyZ7bgh8ugDDiQfhdjQanqOIFyFys3OmXg2NG++LPUSkI243CTrQCY0PaM69RkCqydt7hQvmvBUYHtGAgTLT6Y2PPLCnT8UObkWdjPa1C4BUgPX1CE1837hUqJAusz/0vMrREiL7fE1AfKQUu8/OBNDGEegQu5LmkK5EZ7EuUM+YPSkMocUMEjknEVUpLhWEfbwiTJCrQqENbW1VDX+vlHof4z6QD4J6GOGzmVvgtgEtEQb6QeciPy/ZDJZMhNN6dQi2gCyEXj1z2488xSiQxP4/IHZGgLiAlPVO3GgHe/zt3Yntkr+uHMkgImQe6sXZAwOr8u1wc9tKfJ6pKHAW4MGrfbufNZtp6spJUQJMaMWBEGkUz0b5UmA4VaSncpWgtMCtKNJiB54F4WXZVbWFQWK8mG1e1AAgjybREs068cBwZc79Sy1IqYeBY0y8ChBJU96r3/pnSwGGR69cwQ4bTwB8ZJE2QO/6A62M2ex86/4Z9ij349rsb00RepzofxerPs8jcJiwV1sW67fVFBvLYJ+sSFFWIWqlj57ICiqHodt7VejdxKA4kyLK4IpvFJ8LW1hqQu9RtGB36f2+ewBItGI4ZdTFfLjNMvdnlS6K6iMjhA53sKDVFWphiSIC21CC9dw6bf0K3NktaBntTHoB8gD23KwXn2eAQM3unCoZzz4WzgJXD8IF2G52wbeADJ+jUeFcHbVKE8RxUSZPCvk9q9aeaGdZgKpi54D7VTS6cBkEadF2Lfveya5IHqAjgBvz63ZWSRPQ8apsaFoPGmjLddBW6ZZGm7bndObYirABw5kCV/FSELfaW6dSBOYRKAn4iusczxl1nIH5FrIVhKeF4KWxb3QeUG4m1CkiHyJH6z1tcLVeAKhjQp3ZmxvWbPbMGb0+dsyr01fiTJO3fphIVlUMpwTJivHDgnDaEFNAGtlDHxaKWImB8pIrwpbssywxXitipYjidgwIKyuGsgcsdwmZxwyeXIRiVaNzRPl04Hl9UAbHRp30lpGGke5Atj2rzUFAT2g7QE26uWs2OMAtRRCLQJeeGZN2j9Z24e0uIROgWV9Jo9BKdhuzZ3uxthUD5GulXgoUTffBE0f2NVogLtLEQul70JLrdNKr84WxWOg/Z7YYV8V6G6GvWAF2MU3J3Hv5JmL9LCDPwOUzaXuEmi2KfFuAsUJMZ6LFY/YZoeiVcGdYK5kGNwe4HofuJjdsdwHHrwvu/oZTRPJBMJwqjn/5AKji23/yGU4/ZCKcLqQqTw8FKjaabe7PTwrvsY1UAiuuzqTwym/77M8y4s2G5+GA6SNFEKdHak18+r2IyzujLZ9tBOFoMfFRoZNi/Dbg8BWp8Oliz+qZ9rK8BfSQUUyxOWTF4UvB/A0FAstRSbF9Y3H3U8Ljckugsgry84D//hc/gABIUwZmxd3NBTfjhk/nGc+YUZYIOdn9PgzITwnpKWB4YKvQ6RzJ7NkCR2WKoqpgy5E2uFKnQAOAryb8ycNPES4BwxPbm4af05ddvlBsr8kY858PmWBL/mLDdLvgvCU8XSLix4Q3f8K1+PCPgO2LDcPXAw6/Ip3+EmcKqd1m5NcV8ZcTbv8qcczTP3oGADxf7hqz4fnTAciC9U3lPbxdkFLBehmgl4jwFDF+CA1MBMhWfXxlIEOk3cbPL5BQ8XxzND8imD7SJ+Qj7L4I6NSJrCikijCTdRq+GS0HkvZZ6WKJdOL6bveKJ4vd5m8Yf/19Xv9OKrlaKyg8RUSy9VQBpKZZwN4UN4Nn4haI29/yfYF5CzKA1k87kjoUlsLgW9AqvtUEYyi3b79vo4c09B0ouaJVhrUHgOrB3Ivqmhg9qb8iEJQzeB1BlO4AHOXgZ/lZID2edFGB7wl0GoJUgT36SxqWXgVQLngT0BEtT+7iws3grRTYBUNNTt+Dh9EK8btkwRNnbaU3kGJl6wGhwcXNZPAVCLsAG141tvvke/dKcLVeNZ8xFzL77Hy8wVV11Za42sxKJl5ofSb7yta+giu+dv7oa7+G/egc78UELAALftH22cUjhX20srMH23zse6sAYk9kAexn4rYL278c1GmVLEt0hcl3HU3IpJh4kTMg/OW/97J0va8YV4fFdy8PkhKgLkC0Z0DYj4daOdy+9J6uRvW19SV6vt+/6M/jJUrpya/9zL6Xu7MLuv04Ysj+Wjv890g/rv+9r5IJOkLckUNBqW4H5lg3QYxijAO9WjsPFPcUUYqGoAEo+2pS8KrS9+WVIkQ4PVjYrYHTb71Hslq18qoPWq6DZqloPdQeMIXS17sluN/z+L97cTsfbBVP3v++TOn+XDpF0yq5GqWzDIr0ylhTW5YrBg5QeqU3xk4L9b5K21MapNHsmztqFSv7UyqBUvR1dJ4Uk169Ok8kK+163F2PYRI+gN4rpgwspa1zR7fAatdOEXl/jftK574qcuWzsPOT9gxDEVQbl+H+jD1WVm0x8ZuXbJRqgjy+Zxrz4gpgsgAangjzw3v1E7ugxtZALCBdbI3Md15VWHX3Bz0Q7vdrQbCgJbmxakuavndd9lUjgNXz0vesmIAhmRPa9h9chA9o9nqFrhhgrikwFnCWi9tm2LdniH2ucsxQ4vcQxAT60MFxBfvEfW3BGER3YFYb1+Qq1pVAVhDtNu305NqfcQf1pSW9zX8bK84BPok7G/VEyX2MWjyzY9o0doBV6htbxNpRJJoNuu/1WMJf18elreHueUaCFXVi9c3fxxNaZypc/bpV5Fov6e5vb9NQa5/WXZLrP8dJDtrOmeYn3a3ZOoQidDNrX6vW7x197fmn2y8aG0eydj8O/kwZmZDXzNjMz0pSp9Hm9WpEY7npbg2rCkcUeV/yzo848+1q/KIzP15WcgOawBnAWc+SFfJ8hjO0AD///KwAY9v9llHbcxmtFQjo5007o2P/twwV87zhPM1sEaomOAUmtOWmWrvCzpYEjHFTNRZTv50GfOxEVN0HAb1Huo4Cn25WRyZiTb3fP6cIyikBUTHMGTEqhlgxxIIY+lm3b5UCOC3Ce5bDxQHFXq285AE5h+/sDzIaY+uBJlhJv7VufuarFRDEEkhFmjPuby7IJWA7RjyVG0hNiJuNdTpk1DiwNWbj5wBAvVUm7zpheKJCMQCkUKGpok7ul8TWicBxCBUx1t6iAD+Pel6wDTY/GGa0STFOG2KseBwqNJnmie+nzIJDra5kr0CqkKEiDQXFfe4uZ3BGbIAYsOhFORYSQsaVMPDf9vp3oK4skMOBiLDN/5RajZZl1uc9JqX2ylOjcKgh/IYom+Kcjn2WnAZzhLkCKbDParAeosyRA8Ua3P213Q4Ic7IDg58dzkQ2nX7kLymV1TX7Hh0GD5S9GM9eJc+l6kOgozlaz5OPVglZMTz7PdpbDGh9h1eKe+BmcjEqn8/rX9/uiJbsna476jrwzRn40HBrVPLwo8WY5uDrxH4OjWhjX3zNXCxAQz8sONaISN1aA+KoEE08ZKbAw1Td+Jki1QSUg8BYEFBzEHGnpKuRiOC4VPbQHtkjFLaIuPZKhPdn+TrwWWHXM1Y5a+uBdNT1VZ8zFza7FkMZG7UURK/TRZGeandECsh5g54vZCSIYN+Tq2vGS+VXSYnV2t1IFgA9ufXqqwgIilgiGsNVBQVAU6TVMaEch2v7cMqTRvjYiThENJpmC/KVNP5paMBR631fN784W8/dYWitA2HNaOrDSTo12t471Ir0BMTUTx6nXEkBxk8AwH6KHdObqNzZgrQWrNrhmATrK2mJLQKFN3z2nfsxD3IJhDAgaomcq1xawLYPvn2kV6dCcQ/CktpQQBXQAtQYrHdtp2jakhWjegHQiwUPPhfyRYDuwA+rENraAzSKYWcMMJ1yH1dB8N53FwgzASOEXi2G0euGE6uMYWM1o1HZdn+nZ2V/plXVYD2hXIxKlW9j11w9rCEBBfx+SvDeWd33hwNAZHLAyqpVcgEqMVsfo4j07TUYQ8KZNTFQHTkA+tmxVdnZm8tWEhfMEwXiUtD7hE0g5UTxNx0TVcSXDeH5zOBonloSoym0kS6KADWfIluBBEF6UsTFeq5H0sMxMHGNC4MYKbQVDUA0/+SvGhlYtQqHB4xZW7+2sxOcmiV1F6hbcAP0ADJkouFMNKzCanZK8JLnTTnwmsq0CzIj95DPUEwno5xZUhMyk4M9DXK4VOsd5TqEbJ+zKtK5J0eeQPg55joS7lsdwNy/PLDbf79V95IYy7SvaVg92LbA5iBNWE3PTHxc9XQwO99Tc53qqyFAhtT8n9TdSLjTAkkz9+WYaEOqjcXignDxUhr4Kov1jB6Ha2BEhOKLqtb+wb5ZFwhKF2bxrW/TRXXyrp/Zg/IpotxNKIeEfKC/DwMruvFSjFZNNV3JlSwIEehnd2QJll5Rzwf2m6RzgTwr8hw5UqfSNzHZ9L7V69iCgTaZNXGB0V6ljTa5YrvsEps253kHAjFwtwB+4pkbL6GxARxgdH9aRjDgtr72Ro+O5s/FAXgy4TjOyoNjAx88QVNBXGknYZ/g+t4FgNhjCgmeRNrPeptH9X3WR+20ZGXd2bh4wmjxjmlAlNfS2stQyfQ5rP09NTqtlwiFfkqIRRobL3xf/6Hv383GaxrrUHbCU1Dg8iZieR3bM1lvBnz8g5+QPj53UBlgcv70IzIV19dGec28jnQBxgee4ctr6T5Hun8rM7B+nhFuN+gW8PztEYP5se0ouLwNrR9z+jZ2EDGzos74joFATW5LHUR0kPnwtaB+HJGegePXZDhQBBZY76Wfx36cnhnvlGOFTpVzWh8GaFBsx4gtKvIWcTouePp4RPhmgEysUIZYsb6fEU8B223FdrPTvSiA/uSC+9szPn64wc/+5Id8LjNtfng0UawvKuq7FeWcoBJt//F9Ll9kTO/OWI4j8s0AHSvmHz7jxlTHtxyRYsU0LChvA97/B7cIK1lq9f2EtMGqpW7UAt0CSoyIyjWMZ+Dyr19ROPFQUe8yjq/P+Oz2hA+nA56+uoHkgPqzG6wFqPcFOBTUm4Jz0t0BYGBv7eBUOAvOv7gFFLj5ecT00XKjzPX3cVDbnaIeC4U6P3FM6mpaHxEEPtKZ19oKHxGQzH529/Ga2D9eHNT6O16/eZILQMcBOg/AZWtOF8kC7JfUyF/Xf2jBlKP6rR8teinGAkMTdKhJoGIKx3PA6nL7FzvgJKJagkuKh/Xb1moJ8v6QYrKh6Aqm7H8J5ujqriJp115IsZTMGXrpTLShDEMTUopl53wBlNL7L2rqjhKwwMR46vxCv7Z8JIXDq06tQrqrXsJV8gBgj6btkDh3GjWiqaZ5j1cXgwDKkQdR2KJRqAVFGVSFjevsKrutT9dRNaPY7PuRGCzw3z7zNOSK4VSx3QSs9wEStalWq723j2zZVwvSWRGtZ8R7ltKZznG976igU6Za4JTRlOjqAKiNJJBCRIz3UYBl4UFVBuxHCOm2cmF9QZ1uZ4lCs+iXtg30vl0X8YmBdH4RqAtdWWJQ54R8O/Sqjtsd+v+3PvJqzAlT5RUtROZi5KU69d/URRuLQti/DVwDN8gM+jWmjlI7SKQA1ATBpKLMgmhAE6+FlC4GVwIZ0Q9ho+02dDz0gLkKARaNDOQBByeUaHLyw83tPrACCrSkoikbezLoz8yD/tABJg+2YEijVEEKgFrfSQuutk5565UUbqS48pnsC5KidLr5sO/N7ZVclS78AxHXp7HrDG3E08uesQaI7ZIM2i2z+VbVrR7g82fSYnOnu/ZZv1Zn34hwJu5+hFCMrHa42rh/z6n0e/t2INBV9MVGMsQAhAgVbXRKjbG3nQDQJqQVsN2YHRkgEC/KgCfQQBTKEXDLBh0TahogUMiagaqotxPqmJDWDFwWJufTCIUluZaQO1uoU2XJjIhFoWuBjLH1gzV2QlboJmgKziKI4XpP1gFXgmS+R8NmAN+m2ETaGJx46c+6juw9rwdmibpI669yldrqjJnVAkIDUMpolNDU95Dvr3JQ1NuCNuPTxKKq27mDLwoCvDbepw5OudbWP+dJkwv81SQoBkh5gKwbUItpVOCFD1QgQNFAGKA9g5csHMCYQV45Fe6XjsNIC4jTRY1iWft7+l6oSgAlxS5othcSXDf4jNo6UGCPNpGajXqSE3JugA6p96y8Oh3WK9OiCi0KgZoAos/q3gOLhikJ1yqe+Z4N2B0DgIQycYwSjCXQenQBKjovVIHW84XAkt7CdUwaADLZtILHwtFNgVR7ZzFRaI2CdXmS3ZQDjvzYbncHKBh8jo+2f+2eve/SK7k1clYnxTfps1mZQ5tv7mNYovUm0qeRHr8Pblty5zYioPCVgSxMiBX13lS0TJSNSuDSzhuA/tB7/PYJuJj/VLNNT3C9X9+TS58g4MB5yCD5y5KukPXqrHYxUWfDrXdMABnEc2+lhf59vWeiSyEtfz5cu3RBr576ZbdYq9toG33o/rjfIrYjgWdXQ1/vBZ/+PSZ7w/uIdOpxk1qxoCbOaNXEsYvpTL/lEzXqwPvZA18UFAXi3Yabmwse3t8gPEXEhTasiTTjOijiSZCe0c6ruHCUUFwVw1NBWCvOX4x4/sEu/rMzMWRBPCmF7y6K8ZO1ChxjE5X0m9dIvxNNZKscAQyVisUnY3JWMtByUpwB4Dlh/BSw3Sle359wGDb87GkEToECshPFrYYPNK672zP+8O03+K++usPNzwPKAbh8XgiMfhCkM+3geLfgHBT15NNL6N/C3YY3dyecxozTNGGcNvzR51/hdljw55/e4dN5xpAKjsOGcKv4+icBZYvQDyPiE/VI9nOW2ecuqFtkGhZpW4cvSds//U5FPGR8fveMP7j/Bn8m7/AUj8ACTO8JZjyngHoswMw/EhQxUZA0fxyRnuJu7xKQDRtn2c4fa2OKOiOvGEAsE9c+ngUhAnV1hIl+AmptXDu7AqS1XDYQd1TU7xW++O7rN09yEytK7nS/QzfGi//fUymsTwuqCJeNB8hxIoJ45KxODvau7I15NbbetL1wyx4d379UBHErbQYuq7d2mJlqYci1BVDt90poQc2evheMAsVrc4l4Cwq2CoHaYHIbCL1TS6ZzVVQIkPr1epO/J7++6TWyglsNZXXqBaICRilqRiC81zBaUr8TU3EjC5VOKM9oZX+NirwzMLWqMHXaKQ+ukfSMehbEpBDlwRkX5ew5Oxz8UK9RmsBBu/XaUaa4aSvPlYmzWuOFjijPAkxydRA5lWdvRkxaBHmOQHDHxwM4LteV3HTBHoRqVZB04fOvSZBvIjQA0zSwt9Yrn3vkfxgZPJuwTqsqqTKZvMp4PHvR6/9/8TUVYeUsgMH7EI2lID1gAw/AmsTAGq5tMMXYdC5Mxp2SF/rnKIz6th895AegjRuSncqtWvTuCUGooAiI9cshmPCOCOJFkWJPqkQdYEKrXF3R43Y/15Lm/d4wx6URKDdEEXfFHegW6LgzkeUmZiJoYmwtabTYrCZDDxP3TrPxsZJ+eGalhX6Gh5EGQQyKcuGHR6M0awUTq30M3xI2aYBRMlveU+y4TzvVeE9RdXuGGMXJD3MPRHeia1xDRYQh2+5ffc8rGhU/XSriZUdps8RFjHEibU5z+W7wHyYqhO8YB81efJSQ04PdviI61d4rvmoq0QGtqlqtslqTcG5rEuSDVbUNIKtRIVS260BBFNQ89DUXQIdojBuCZpoCcHfTmEGdkWMVsK0AQXvlMIpVl822FYirqWwvfM5ho2hNMf8GbzMxm9XA5BPP3fZalceDP5slXmP38wAVS/N9Yd/jUOlWJBGwVG6M/RnhCbQLS6n9IXuGPWg8IwCdCtIxo+SAXIGwBqwbq0rDEzB9UmdyAwDyTWxKsG6b3absvCyKEExh3HxCtEqk97ZzlNveXu1ZeZ+xfV7I3QF4X2oDJu3lgX06803cd4RsLIWF/rC1pngFNwkqIl1ELldB//4ltUKzqRGffU/6gtTO7BrilS331gFpnxsX/nydCRo5QOLPiywvaXoSUrhtxIVfkifCAWHoY5QISHV/0NoGkumbxFsG6q60jIGVTGEywP1J8L6MoZ0j/rzi4lR+uoE9CBmX65iK1Sezc7t3p442e7QQSwOQZ8YW+b4gmHJyFKBmQV7ZWtbAZ+mJVigArILbRJn8PY8KHYB8wyQtHDKOxxWlBCxPEzQL8o2JKcFilyQsgtg979ta9pTcdLKkY2OckmdpNM/g/eYr6zf7RLOmfv30B1xXRMFmVVrqNFyDvXk2ZkfhPqpJEAaux/DsSXf/XGcHcWQX7byEgHIcgDxT/2a5Lvmut4L6iknu/I3i8E3GcA7IN7QHn2WKypiQ/Y5qyYRwtM1uf4XSthvBl60LhNXBzvHnhCedgQrUuWKrAGowhhQAla7KvaGxA9ZbJpzbUSxxkwawtdakFXAq9XZjrLFE8ablNcW88sGeTQXEqcDuewdFMF8bz+afzV/F9xQbCVGxfEYl/W9+/orP/xwNaDfDqez91ggsW8KlDDi+OePpD32DcB8sbxTbPaD3Gw7jhloF57sEFIGeqB5ezwlff7hDjBWH44IpFWSNeNomfHg+4PTxgNNY8Gk8oJSA8jzwIQyKclehF+lxg/mW8Vv6ofTcAcKQ0SqiWgV/9bN3+KvtC2CoGG5XbGFE2CLSieDG4e6C5TKiPLLijWNm28pzxPBJoAOajg8/AFTURmh+IM+C9RV/TgeFbgGiVuyD29X1aC6PF709QB08u9HGLAgGWP19Xr95khsNKV02+JzENmfRkwCTrW89uU6ZtMBbtoxwWaGHCdubA3TgeIeaOPg6niryHHH6YtgldYagJzE5dwvoWhJhl7dVpI9naArIrw7QJAiriTgshclttlECAIIdbFcvC9oaJWRK3FjeRwmFKx+ODxvSKZiARmjorVoiCjDR9R6RuPKQrpUHR7Ay/3YjWF/ZYHa/56kiHDNqDihnG1kAsGd2JmgfzgHxU+gopnbaWRnFDgkbaRQVMheEsSDFinHMqFWwrQm1BuQqKEfhsOggFMyJdLjHsyI97SqdMWI78MCOF2AoeqV4XIf9wcmDNc/89/BMB7/d4Aq8CJva0PD9s+iBo8bQDoK4KuYPVuKzzd6vDSbaw4ApXWpLtGoQLPf83vE4IIUIFIo3aO0HhowJMtpYiVKgWybroJTeFuIBfvQkwCO6HbhjdDoFGAwYjbMcDb0fpI9EsDde7gLyURo9jz0i3p+nSCuT3Ga3TlFGpXiWz6GuRrnzEV9OSY28BlGr1gHs/1NL8lNEnQYCCtYfkRLLpCkKhrO0ai1AwYBidDdHstsM0IpW4W/PJ1hye1s5uuF2w53J85cSUGugTRaB5gG6GjJsSXdxBNNpZmYjdQTWd+XKxoeh4DBuWHLE08MBJQeUhaO26his94MJLwQ2iqcy4bek01t2wsaRPOXA/R4rq7wetGokGs8AuSObzthoiX8xxWebF9j7aL03rusGCADYM2C1wVgjq7agVXI1ldk9MmTJiH9pSDywS8FeYU0vK3B/pG92uy0Vcll4//PI+aG5sJLkI6t2PeSwa6T6LNe0Dkyq801COZAS6/SyJpbkQNRKf+K0P6lAPgb6skvlTNGWyFpiYsKDOg2dcWNJQSis+splpc/YAiQG1OMI779Xr4LZ6LKw8e94IsOiHCLWu9j8C6RXv+JioJmgjaxyFWwHKctkc3mTGjVUUT7bcP/mxFjZbP0MAGtARrQkEhhsVqbTO32skftDCvpU6KgINxvSWK7s/BRn1C1gSQlhEUACxkdpgRgDxgA5XAfW0UbCeIBPAyETCqbI44CmA3F55vOEGqDpFeAKOHIZMsevSO1jXtyXGYrGZCe7r+OZIpUsHimK4dkqq85E2alt1iimCI0GznznFcyGQyCVeaEgX2sjuawUobq7gb46mmEawywIXOmc8UeFnGi8+YYV2Bop1KXCs6qMgsvnpLqmE++HbC76evpHA6q1+zAxgTqyk4xODZjtJ/r8qginDeFs55UDnV41N42SOvE6sDp4pxBLmKTYdTuYo8ZOW4A9e2NfgQd68pePguxCU35G31ToUHHz+Ql/+Nk3eM4jvnq8xZYjztWEjc6RvY1jF9w5fEUQNR+ktRu5nW9vK3QqOL454/XNGXPKuBsWfFpn/Ly+Qtki6lBRqiCUAXjg2bO8kh5/7GjSbZ0rMDxXjjC8KOJScPrBiKef8H6n99zn/INW1fVEvPgeTxyjMjxT8DAfGdCnkyJc+POiFrTPfO90UkvGWYhIJ+DwTW3FARWKRaVTZYvWwj24vEkcU5UH7reT9LYke13eCPQN5/7O3wCHnz1Cp4iQb1CMcq/CBHO7EwxPirufb1ABtpuxC4jqbo/C0OfQQTA/b2tUhKcIXQIwVcihoEwV5U4QniJe/ynP1tMPBesN2VspwxJCB3S5LsOTMQd2x1i0o2q9F2x3wKaCcE9Q4/J5RTlWxKfY+zaxu7ZEgHsYM1adMDzy2W2veG+HLwXTR8XTbwv0j56xPo24+dcj4gVM1A68XgWsbYjP8bwMOOcBf/DuWxx/+Ev8zeNr/Pznb6FFUH6YUWPF/d0F9/MFKRaIKLY1YdMJsgaE5wg8Rmyfbfjx208YQ0GuAec64PT+iOHrBI0DsvmGWIikltcZ4VBQnhPPy00wPAtkA6aPLB6V2cCLwr1KfQa2ed7+6Yg3/zrj/R+NuPtffMDTlBHXEeMjCwI/fv2An337GniauK/HCg2K6YljobY7B5PQ7ejObN6A4O1Wsf10QUgKfU4cC2b2314VSE9ypfngLT8V9Cl15JhE3GfoKWJ4iM0H/V2v3zzJ1R0s5kHOi4ot0J0jLIhsrwoGGT6PLoWmOsiekACpEXUM1311YmhAZDxVmiqlo4+OmPX+3v1MvobIeFJiowRI+QH6SABLYPcV6n0Fd9f832/2+p6lKESspyva79SdoIIFvP4ZrT/GKwaJ6LxMFdNhQ84BDtJKYOCrJQC5V30cQXcKEVJfr5oAPRSEoSCmipgqxiHjdl6wlYiTgMnFHKASUDKV4ihigIbE1aFbmYq0AD94kGRrXEwmnz/H9XPqgRRp1EAXJum9lXJF+ez0HF/D/Vr3n2mjiPxLFYhBG60IeJE471BZfjNY0P4C7ED/fquE+YiUfQVrP+8WoK25PXmQ5K/A6laNppxrCH6rFgkaNcsr2GKqCqGoJZKBoE0b3aEtueK9KvYCb/yidDDKacxtPV4kR16tNpEhAZg8bOGqgtpFUAQhANUTORgVeYeat3sL9rfZuYwV07Thbl5QVbCWiFz4OVkiylBRZy5OEzizwEEjE14/1MqskENGmjIOM5HUMRZMKWPJif0uW8QaB+gaUbIgDqxUFa8EjFZhdIq0ovsO2P3UnuCrV3qk27FA2r5re9r8F4TBa6M8WqJu4Uer4DhVC+DvelXZg7W4VruO2ipaBJN8vaVRgvt8WgC1s1v45o64mQ01Zfud7VjLiRqFue8LaT23btvq1VL3v+aD1frta+yVyXaMKK5oZ57otP51P15EiOpXggCNceCvIEC1Ssr3nEncR4YG7hzCS1DN7ycUvQr4Cajo1c/vaVZeuXUxKFcJJqpdkSYmoq6kWmogUj9GY4wTyKRSOBoW0XpaAzoDYlRgKhjnjOO84DBkvJ7POOcBXwPYtoRLEVSJjdHTE1dwBJ2BrsH9rHrFD61K28fi2bOI3jPee8edNlfNPqugUUUBGJXWBOSk2zB9jZ2T1orSWBTm85sdON266rXvEtDWzP5+7SuSReZ2037Wn68zGET6+W9095CrUdjtvhQoh9jXw+jHLnZXBvNHIxklNXcxobLKFYW+0TLd5l0ISO281cTk3kQwxYTWmIDzkBVjWIVMJduKRPaY0V5ldzZoAAw6g4vrNcbNy33gL0WnFPo1o193e9YCICqGWJBCwRQz7uYFS06cNypAVbadtX1TPbG1ns8Ws7DNRMcKGU0cB8AQCua0oUJwd3PBmhNOTxPqEhtduF2n8mwSsf7csrtmP7KFNFJPAL3K2OjI4fp+gd5S5XFbGdm2UsYdzVLs56W7XN9DFPYhQJpO0hlRzuKwc4D73X1ofyYEOyv93zhAYy+/hw3AKm0R9DAQTE82esYZAtX6SwOw3scWO3b6NkGd85vQqobxIlZd7/Yi1aZ9AE37gEkL14i6L2riW4AaYODr06q2BrZ5/FMmizENOCPV3xfAwpmziTttQCge58M6bmytzxHLNmN8JGhRq/2eATT5QBbE+jwCa2h9x2U2RthUEeZM5eODzQ+vgqfV5syCKsvxkKFVmojTcVpxNzCmeQrWihOUzEwvVlXGO6qCqBWlBgx3C4mPUSGxQnOAPNPXhLlgmlecsxBUUPr1MAB5k+6TbX3UdD7iU0AprAZvRxrztx9vkdeIu+Dgi+JpHVFybDZaL6QW16TYbgXbnWK7pxBePAvgAIj/5Y8/B1RVJrg2VjRsaECR2DP0WBBAz63MnnQD4imgSGKbQ31xTv8tr988yc0FCLsEMSVczet8GVzEQJEHEciykTI0ROg8os7J+rQc5RfUFLHdBuRDwHZrs6Fu0PjbokCYGTCFVTE+GvJrCqh5jtDPDnR4Iw0hLIUHeRRUa3zGTCOVjSNy1HdOUaK8u8OQvcKkUsdTbr0YPngdZlDVaMnDiUmCBpuppwDg1C7eQzrRyW1HIiENwVSwUX4uuHt1xk9ff0SuAaeN13tIDJJ+/ukV5cDXAFdRdkdYDob2H7hJ9VDx7osH3E5MaosK3sxn/PTmA85lwJeneywl4f1wwLIMWIcRa4qIF1phTOhVavAzQlYc3hM6KxM3f7wo4lqRjwGXGOG9yBBDPQe0KpRXe2GVLg3crK4a2Ga8rb16IFYtopCHBbrKpMH7tPwgGB5JpS/HxANMegIQV1d3ZkTlPX2yi5g1F/KUkjDwjwGQALHe2i5QVtsYiquXivXdxqvgq44EcPIxkrY5CLaDNKqHo8yisGo3K3zpAmg2cRHQpuOZIy6cavcdpdxd/ySSibK9uB6o9fcAV9cqW9klMYqwZIStokwRmCOaGi7s0N0BB570OQ2/qXZbMuqq4XLMmI8rfvz6Af/g/msUFZzLgEsZ8NcPb3BaB1xCRT4k5FMCbFRWPIlRo6xXwyTqZS549+4Rd9OC3719jx/Nn7BppMy/RpzLgLUm/MXDZ3i4TPiQbpFXtkSETUD9joA4CNJSWzXJxwKVkQc+/UBFV2NFG4GyF/Qo8+7QR6/IhSyNttdGAp1hYyIq+/ZevJqt7wGJlrT0JNcBDLYoMHhJ84AwDOzLLcWirv67WLfGTNAh9aTXhE2cZq/DiDZCyIGcgJ7UBjG1ZMF2m1rVToMgT2Ru1MEYHAnw0TA+DkyKohgdbnzu1FjnsWsKrOAFUPjN++t2x001IS8mBteJjJxX3meK18CrsSJ4/QFlIKU5LBb9G0iBlrxJC3QBdJDFRGr4byDfWrX1dsM4Zry5O+EHxyekUDDHzADobsJaYvPn2ylCtoiwSevbdmpomZSjMsaK4fUF05TxO28+4EeHB/x4/og/mL7Ep3KD/+70I7xfj/jX0+d4fDpgKRPCFq8CynimDw8FkMu+DUEbcJIPFC7iHreA+LYLyaj59TZSJO3703sCLJVnsWRgeuy0eu9TTWfSPcLaAeSXAU2j4IOJrrcRaOQ+c9vziv7LV709IMCE/GIgQ0FY8QTA9g7rW/fxQIwBFPFpRfS+uiDItwNOnzNaSxeeTXkWxisjz3RNu/E5ggZoAvTnPpqpqU6vFcNT7S1TYJVYbxPSqWB4XK3NitXb/OoAHQPCOSM+LSZGxOp0eXUDneIVvdqfl07BwDWCCqRZC2rnJzVQpSVeWTE9cP2XV2R4MQaAUastTnujCHPBkApSqHgdz/jB/IilJvxFeovTMmLZEvIWkdcIfaYWxIIdE02AMlfosUCSYjquSIkquEUFKVR8MT0izIrfv/0Gz3nCf/HXv4/L88Bk9SDtHHJKra93WK039twLImUEY0bDve7+prbn1fpOJxudt5KBtr7inmzjjhKffav2whMMS5RsDryDtE5Dnj5WzB92Nl7JXJGijBEOwVqBAhwUJVOvIjxdoNOA/O4WW0nAv+F7TJ+0XROgePrtI2oSLK94P+MTq8hxU+iZ9/b+j4iqcW06E3C7Ezz8A77f8ZeC6T3w/BPF9oMN8hQxfx2bX5As0IEJOXJAuDD2Pv2YtleOnNmKmpBOHuNZvPxIZkwZ6Uu2W8HpxwqNFePHwDFH7xU3XxaUQbDd8F4mW7vtjmNrPGn29jwAOPxNxPQhUETrqbY2gToKLp+xGhwXweHPR5RJcflxbu1NUGC4X/D56yc83M54wi2BuiL45sMdPo0Z05AxpIKfvPvIa6kBVQW/dfsJPzl+xC/Or/DxdECJFRhdoNcEGYvgw9MR0VSex1TwP/vdP8cfHL9GhaBowF+eP8P/4y9/D2WL+PztI94eTvhreYPnc4JOFfqmogDYXiXIKhie+Kd6fF2Bu7/iHlhfAR/+iDTy8f9zg1G5TqcDr+XLr19xjJDFJOO3bCHKd4r184J0v+Inn33Cx/OMp796hXTubAkKkvJz0rcs90Ybk+riUuVAOnfTTDEmB9Zu/1QGB+IiGB8EQEQ+mPDUrpD1t73+nQhPAXiBpkpPCveVI68gvEDU4f1RL77sAgSANJSM3Ho16X3lx+QdmhxAKqMhA2K0oqsGP6Bf167qwCocgO9bvNbzuI+gtFVZmPhID+ivboR/pKgpdIpRZXiQNJTPEUdH6nnrQGIfwXFacT9ckDUgGWdyjhuCKL4Mdy0A21cf1NZRAisJiABSxe204M10wimP2GrE7bDgNi4YpOIhkfIy2WDsvEZo5EwwT97rALasemJjSCBUIQPvi31W1mvla+qVO6tCeDLuAjrq/299lvrCQnv1ymm/u8X279lacy2N6mmJX81+fWjP0mlLf+vIie/Yg1d7Xz5sNKVl+T47f8lwcHDEgv+6q4hcbfwCPjszllb9jLRvl45/cSE9wNtXc/fX8/LnX75eVniN6UCU1VsEGGgiXt9fG1PhyZh6hVPa829U/ACEqEip4JA2vE4nFAQc4obnPOEwbKx0DQFaA/JQoUNAhRBjy71SVkfS8NOUcRw2HNKGt+MzfjA8YNOISx1QIbjEAUtN+Ha6wVYDPg2cFacFTdW7Wg9dzYLgsyKBtld5n9hVTTvw03+Az6r1xnhFzu89Wo6ouz0hu7eyhLbvNbMvmyn9vb0pfn1uJ17ldEYBaJ/feeINrNGrAu9Vn7nPyvU+WkskfMav/+3Ah1e2GlvDtlb/Wl8L2JHR5hzvhb+qXYe5aogwwa0Kwd7uYJRu4IpG7ffw0qav6Ai7+3XQ0t/TErEm8FGVoxGiXoE8zb/t/0TzvUERU8E4Zswp45hWpFBwiJtdmmKNEV+nG5yiAaMJqFDUTQyRZ2VLrbKAgTT8eci4Hy74fHzEF8MDfpg+YQ4bvhzuAQDTkHEeCvKgTTzH22ZCAipYZfleO3Jb8kqjLZkzctrrhdvU0M2oVXnFkgJbq5ef52wbMnKuwRz9Hn/ra74XtdpXBdq4tResA/Y68N+t39ZFAsGy5tVYw7Y3AG/d8D899gC8PcFBXR3sebkwmOFGXh0TsfcSXFVQW/8o+jnhyRZga2Kjg1rSAzv7nHmx98fGOtsDBi/Xs52f9kdxfU1XzDMTGWtr7W/l7x+0BewBiilk3A0XTDXhdlhRnb4eOF+0mH+qg16BVToowlQQomIYmDAPsSKKYo4b45ZQMEnGU1gxDBmX6AJJxiJSNPD/JRD2HV8ZYXRzAup9P0s/u2T3OxaTqvZq6FXosHuG+zVq0wEMsGerGosfLRHOjKHq6M9XjfCwizN37DH+zN7O7b3tHK4DW2PqINd+V3uMxs9Sa1lyWzN7nmqL9XxiRhgK983OTlpbh438a+89qK1ZP7caI8/++LozyRWj3NZuG1n6Ne+epRe2HNhoNry7h7iw3zmatolY73rLKw4UqY2LreVYEaeCWgSogmEoGGPBmJj8aubJU6twHrMKBgC344IginMekCvj9aqCXANyDajVfHlSKGwPR0XOAWrgDQD8YHrAPzr8HEUDNo2IUvEvD7+FSxxwGDYc04oxZTwPFQgKSWRx1LHSji6x7Vuv3JOJAUv+FfIsGB75zNZ7Pn+pQD1HJvf+SAuNWC1BH6cNx2HFJSc8+RzcF/ui/x6aWjrp72qtGL2QAzv3y2hBwEtTNhDWhWL/vq/fPMkNQlR/r2KI2qpB7TUOKDejBQuk1vnBo4b8A0A6lYaqlzE00Q4ANjcJTQ2uzDZqRFk1dLTY1SgBO8DtoGq9LY4O23w83ocnPjaba83AtgLjgPzuDkSWCw8wAcJazQFxLFI1CsieMufjAcrEYJAV5ortELAlaUqZ7vCaI41owUJNwHCz4tXtBT84PuFH8yec64hvAOQa8LRN2GrEsiVoJvyYb7RXdYRBvw6mVDsVjMcNv3v3Hl9Mj8iVmycIaRYAMKcNQSqyBowp4fQ8IZzprDh3zFBqF9Cyaw/ZFCczECo3Wb6hpU+PxXrzpPWpNaXHYs/I6M7sxenUwBAAtZlbNQpC5LMO2RItj7yMwhbWepV0aBDoFFtVIqyFQhwHoticq4gd9SuS9rObDSreo+hBhRY0Hsie+hsCZNg1KnjV6+X82933PUALRRmb7CqCGoG8S3bjBQhVEEqFxcW8vyT2Geb/VSGbAnpdhWtBvV+Lzd69msvrNNSmBi292mt7l7N7d6O8Qj84/eXPbx/8dwp+R/v8sB2GjOO44fPpCb89fdvs8VRHZA34drzBL3GPbYuQoXKgeAXKHQ81PzhlLphuVoxDxhQzxpDxKp3xeXpAkIpRClaN+Drf41RH/Dy9xnMaMU4Zl9vB+pykqSz3fcn+uOG5AJUsBYDIej7GvgZ+AFs1wme8NTGuFozjO4GBvjAPvqdVLO1nOSbCKJQvBPJcNKweR5Q5teC3twCACaD7530QD0Buj0Ca0fQT7G+dBV7ll42V25ALq2AxAgP6XtgFgU4Jjov17h08yEKj8pGeasCZK19Hfi3uVNDdhsoQIBFUy3fNB/+72tosGxPveeDZotpbUtw2R7P3vX3bZ3gll/5CCagkH2uxq35tjLJUTVfg6LPH9w+x/xNBMU2kbb6ZTng3PSEIg/zq/ZkqqDWYUroi35ISpuZv80FR5wocCm5eXTDEgptpxWHY8Ps33+AfHn6B1/EZN2HBRQdEOwyjKEJggJKPakIwAq1k+dCnCqSYuODKJIY0We8DR+sxdr8lG7qwlnS7LxNtrro6bEUXRbQ1KaP5eOs9lawYHkzAMu4YOs1A93uF11YH/m64FIp2WfJFsazKSv08EDDxX1824DihTrHtAY0m4iNAelgQLjZSzduopmRnGiuOYa2NMTR9Kl1ELTGG4NxOi1/qHtwBylQNSGPAttqmnz4q0gkmzBZa8uFAV9i0CWBqFOBgNMnN5/wKyt3Ee5msb23XohVXY5xYu9XwlCFFsd0makF4UgRrBzGaOJR9kMtbtFFCIaO1GtTBqmWtWgmMrxa8e/WEH9084EfzJwRhoruFjJ/cfMTzPOLr8y0eLjO2LaKaojAD/91rqBimjJQqbqYVYyz48e0nvB1P+MPDV/gPD3+JAsHX+R4P9YA/fPsNfpYK3n+4Yd+jVwmzkBFyQRffUtqygyutWm1xnotD+SSJkJX0X/R7Z7JkhZhRES/SVJEpEsV9UQcmF+OZvsr7y73X1kdV1SGgzMbQWunPNESUAfDRcwBatVmHwOkmtSI9XICytKV7+H3gcKbYHEf5cXNWi6tXp4fbfaeT4vavGXcsb4F8Y8mKMvG7/YsEKcD0gf5h/BRwniekRYyFA6yfFWCqwBogpnchm7X3+bi/EAEBpm8FN7+oqEMfbymV1enz70U8/vsbUAXhEiALabHpDFw+Ezz/OLZkFmrP2HQs2ppPfv1oPjQf0Px3mQSXz6gSvr2uwO2GnEf6xaSQM9uY0u2GcdqQYsXzOuKyDmRNKpDGgvmw4m5ecDcuOKYVn00nxtA1okLwl49v8Sdf/RDn84jyaWQ+cbMhTRWv7s54fTjjm6cbfHx/gzJUfHb3jPvpgoKAX22v8DY94afDt5jDhk8/PeDjdsS5DMga8NnNCTEoPj3NKL84UpR2NM0d87tlBpYfcPrB+SfcZ2GRpukRbO5uPlLcKS6C9JwYp40EVNfPKuPtLSB+SDgtN/g3J/ofPWbkMSBspGrWkT3MrdhYTGTszP7m04/B8U+/5DnkRczTj4CnLwqGDxF3f0mfeXnHfCCaNgWB8Q6S/F2vv3eSuywLlmW3eR4e+A8PilOEVqNJlh2C2ALngHpIpPY9l14N8KDIqBdhKxwfMAVEVB4YNrZFKoBCRECjH7SGJjG3bkH2HkUHcIW67oP9Nhag1o7kBkMa1g06DijHRJqfCFzdkMIutaGdpB9dV/5cyr8OgipGPVwUZbAdqGjjcBqi5pVO++NB0f18wf14xn26IBTFQ5hJu6wRl5yQc4D3PVQXrwDfsx5NfEdI7ZumDe/GJ/xo/IiqAQWCU5nwVCYEqUhSgQhMMbdHSKVGmNohnQPQE3WKJBCdSltt6LYPRfdRCaUKJHHIeUPbGg3KgiRFR9ZKHwUgniAJo3Wp1o/csgZHiCxw32ULGgUK4dzDhSWMfBObU4UlClULtC5QJOTd/BXxkVNa0eidAUyEg3CMg1V/Xu4+3x/feZnt+7Vf0Xu9yice/Ctw4fiSPZLexDPEktxSTcJSIOiJjPextUqcB/WN1mwJjV/XfmSM0/j0+3qDpNtr7PtY9G9xQsKAuEnCCwDhzOkxFtykBa/jCYMUDJJxqhN+NrxFUcG3iSIwISrK4KAEDUlUGBuPhQnukBFDRQoVU9hwDAtm2XAfLrjogM1oAlPMSFJZAZgoJOYUvNYbqrzwBDsgdywOHdEUVH08CIDmGwB05oJ0n+Q/8x1UcpeQeoLNqpP1Q5ugUu9VVxO+q22sDubB+gNxTcW1Z1Prhlpp31m7wJoOA9RF9dwWnJ6vyvYUS5C59yJwiNAQejLyoprvPVRtXNqLKn5jUgAEKnb2z8Rrt0fb/ShcFwGG5QgM3MuVVE1VtIZ/vFiHHSV5X7H1G1ObE83e82rzNIMFaHzO0SswILAKoIkh7isNbW3tf1KoGGPBMbEKVUB0fy8ZU1WY5Aal4EcVoNr4tiOp+ONxxbvbZ8RQ2ZsYM94Nj/it9AGDZMySMdqie6+YCDiubeRitsoqQLbPDlSORsv3IBdizxPS5+MSwwCGnZ3aPftZEcDzz0d99f5HNGYQ/TmD4LBkSNU2R5k/TH8uwcGOHug3dWZnPOzWvNaNPl2AvJ/Dkg10NXBdPMl1Sv+T2buLTTmQ7aKYg2B4ZhwAMHmog2C9TSiT2e0GhNT7HT2Yq6NCJ/YD1uH6zB6ezbbtvqCs7qvyHPVqZLNhB1MqhYp0iKhDRJkC1teMW7xqFdaKsJB+C3/vpSDkiu02teqhVBDEKuDn2vm+3gvHA0lXL26AvN+X2Lk9Ke4PC97MZ7wZz7hNC6xTGlEqXg8nHOKGSx6w5NRYMrxg9yN2n1bBHWLBnAhcfjE94remj/j96Sv84fCARYGiAUEqfnx4wFoTTsuA0zxQaK4IQrXxM0sHDP0sIvvDbQ0IFW1clsckgNlv7oy2vaqtM4kgZscbMJzo+7ajVWdNvCoUr9IC6VK6GOpGFKn1vrdYxs5cBWSvA6DcC0UUuq6QdUOpPU7Pn20oXx8wPFmMtSrCoDtBPO7buCrEFJyHE7+/vIkokzamZNiA8RPtIq58XvFCoExy3484FAyHDVue2tp37Yj9eUphqfGhoBwCzu/c1/C+8xF4+6NPeD5P2H5+06ZmhA1Y3gDLF5lg9MVo3ItcnRdqld923ravSYtPCSYB2w1HAw1jwTbWBtjLyqBcQsW8m1ubc2z3HA18uRsXvJ1o16+HUwPpcw34k/WHeHp/5Oiih8ii0y0wjBk/unvAH919iX9Rfxsfv7yDCjCljPvxgqqCxzrjLZ7wOiwY5AP+8c1f42M54k9PP8Q3yy3uhguGUHDZEtZnzrPe7pjgu53UQYG7jUyIgeJXp69vEN7v2lZin0QRzxSxKjbvtwaFHjM1gN6PiBdunJoFOiji3QYdKsqYEO09atIWw4r26n+ZaJdSBkyfCJZkazktM3DzxTOecYP8K4L02w2FcmtCG2v3/8/r753k/qf/6X+Kf/7P//n3f9MTxr2Yk/2t82jV0YCwlL5pgX6AAf13jRIWsqIKm/BDqVhvAuo9iIBkcAyNsvk9rlYRUFOxy0rHnmFIPE/VRnmy2YmhZogSNZZA5FykgiX5CBxnaBSk5w1qvTlSFJhTD2oSK2KkWFnCbEFSQ6mNflVGNqvv+7ecwsh+TB4WYk4zroBowPPjjC9VcEgbfjQ/4CHP+Pp8i6UkPC4jtuKN6Bl1i9BqyX9SNqwnNr9P84a3tyfcTxciqhqx1YTNgsDbuLSqwloithr53qIoo6Oc0q5bBiAaSh9asquc72cVVK8kseLHRve96AERf2kJg5jjHIQCJE519t6xTmE3m/H+T7DnsAwBacstka1jtL9DT8iCAMq+3RqJOvnrz0//En/2zb/4ro2HyD+/7vU91ORWEU2WBNReNVVPip0eZnP54kZlyRBBBxKIwtVM9Hx4MgGtrScNvhZhzfB5qaTMBYgFo2qUJuH/8DoM4PlOhblWYFP2pXkQaD25dR6g0XouG+3YE7x9JffXZLi2TUIBacEBza5yDjhvA/7m9Bp/HH8HgxQcw4pFE75eb/GwHrDmBL8FWBIQhsoKlQXx07Th1eGCKWW8Hs+4SSsiFKc64YQJ78stVo34VG5wqqTrA6BAylSQAQOsDJG0+Z+ae+AjIaB6YuaJfTVaGHbOvZICWlebg/iC6sZn122cohloSp6O7vv7s3pozy6ggRXX82hhyR0QbI+oSCN3QBV/fvpj/Nnpv/6uGW8bNzZiT3TdXhw4GhJav67tJfG5u/4KBF3avnshDtRaOGr/kiigJkrho77Yr+YiRH7//HfYKoPxrQC7Kh2iUB16R6/nNXG9Wp9uqWQ7RCa6aMJKDt7Qf3hfbp1s9NHoSbiQhhp2yZrt5XabbY60IKy0mWVLOG8D3i9HBCHtMkCxacD75UiKWwlM6ISJIqo0e2tq4Yk3NoSCLw6PuE0rqgb8Kr9qjIWHMmOQgkNcMaVsNp6x3fisV+trv3CdnFbfRBt3AX57tAUYzrxvV5OWDCSbr6pBADu/uIYd0HIdhmBiYT6WxFVtw9r7UMPK5NSfwfXaKgQKXT3xIKvDAXOf4/7nj/81/uzh//0dO9eJGiB1jo32r8J4odm8+2fLfoIlI36+o4KaBOrguWA4d0odK9sWeAPAKn1Wu/fh2rmWzny/aP3Qjcpard2nKtKptOsrc7Jzoxqbw/Zh5txnqbH1bu6Fpsrk4CZ90fLZBAfznN6vwgQgz0xuEpgEhU0xPJkQTLTldiaDACGx+lWMsVKMmnkuAz7lQ1v7qoLHPGMpCWuNSJZALPebAfWOktDg55sVX9w9YYr054e44c1wwhQ2XOqAv8kHPNQZf3z+XTyWGc9lxBgy5nHD+Vigq6IWnsU+wcHXvV+U+V57lqHQtRYDfHpriaC2tTLQYkLzA92ZMZajqrPpt5ieSLpU9hqeC2MY22t1TKj3YwcmtT//dKqWSFPPAEArEISt4i9//p/jz77+L75j5+EhQezcWu8FZU7Q4AwZsg0adXUiyLUdGbcNT2j9ssHaP/KRNrHZmKY6MiEmcGZn3nPCtkTEuw3z5ycslwHb8wBZAsJX9Ddt9FQETl8k+NQOCOPB5U3C8Ax8+tO3kCpIPru+qasL9JuIeBFMnwg8NCX+g83wjXb+RqDekclYRkGY+RneM58P/F78mFA/DAiDYvm8QLIgngKwCrYw4/15gETOiy0rk1wVIISKKRYUDXjYZjzlCd8uN6gQLDkha8BlS4iHjFKGRqE+HFe8vTkBAH5+fo0pZrz54QPGVPBmOiFJxTfrLd6vN/ir+A7/Mv0OXqUz/oPDz3ATFvyfPv2P8RdffYab44J3t8+4mVY8/86CdQ2QM9WW84HaDXVU6CViu0TkC5lq45mVcalAmcWmjwChBIQijVUVTwIcgOF2xTxu+ARgnRPBCxvRVNbA4z8RnEjPgvkbfv75BxUlcUKOVMH4CRieqFpdTLtieU1GQXoC1j+9x1iB9TXtIdqzj0vXLokrUJZfE2O+eP29k9z/5D/5T/DP/tk/a///8PCAn/70py3BRanXv2CVJZ0G1DFysy7luz0uXvXYBylGxwuovKEzUIahoZ7DxahWNgOVfS4CrZxT6836pJdUqg06jVikDX7HJrxuEQDVetSCZcsBdaaSYXxc+n0CkCiQGOywM4poUUTvzYmCbGMDpLKCK1Wxvk3YbtBph3C0mzNxGwLcxEB4KJaHAc9bwLeHI5a7hMdtxtfPN9hKxLIkaA0IkcrLa1SUzOB/uNm4IYtAa8CrmzP+w3c/wyFumMOGqgGnOmKpCbdxwat0Ym8jBGtN2ErEWkhl3uZqRg3SPgbiEVHQqMNxYTC+3cVO46kKRKAY3ZOIJp9XS3Kb+I4ChfL78YIrtNJFHdhbYDZjM5TDJXPNDzzYRYFwWu2UMjQ+DT2AjQFSKRoWUkB2QTAAf3D/T/F7X/zHqHdH5Lri//Yn/1vbKQlNYK2UbsP71776FUJPBpIltGu1bvkImLAaWqCnBG6kYjiH1kMBAbYiqBOQnhXTJ+29Oo6IGuIbLoygmsJtCg2MAcBEBCDqf154LSn1KrPbtwtPjaR6SibCrCmgHGeUKbSkw5XGW0+870dLXttIH9/nLXATHkK7hKfkiNMy4BdPr3DKo1W7WGV8WBkU5eJUBzQ0OKbSkP4UK27GFa+nM+a04Yv5EcfA93iuE051wmOZm5DDphGrUYrGVHA4LrjIiDzxWfserkanZKDOCmKx6m3ceitE0B1DBWBVI7rQiYMCvib2XBx9NgpbyGpzbrtSsldDUZXjcLIJ9u3JIyJUUbcKfOvBcx8n/Tn//uEf43fHfwTdMu38/H/k9y4rJM4EYSqMFUCaslM6ueiRSS7cd2u3c/t8TYLtJlmgre15tcu1L3mV1oW9WguDAWfel+ZjkZyaGRYDKJcCKaXNNFUEYB568lFrA5V0iCjHAaKK+LAirJkCRa7I637dFaCtfaUOXQzRk1yvADWxQQdsHO9U9BELRg+DBqxrwikNAI5YSsIQaOdZI96fjzivA0oJkMh1bfjAbMlWLE18R4Tsh5/MH/EqnVEg+Nn2FnG32IMUHOOKKVIUZT6skKDIpiiupngpQLPPWsXmFfcqdSgdaBkWirYUs8GQraqpJihY0cadXd4K6g0aK0WMvlaNUhwswU3nbAknE1bJmdc0RFLhcmdPOXARi6Offr87XxQD/uDNf4Tfu/3H0GVFriv+8w//B26BOULniDxHjmWx5DGsneXV5ixn30eW+Sjp63mmaKCff7JV9vutnMvqIHdXi3UbkTYv1wP+8aGr/7uyrCsr+32npxXhtKLcz8j3IxOniyXjpUIgbR60bBGDxTtkh3FkD89HtQRDcP4soo4dVHLGShlIvdZke3BjYDkagY9jmrQJMMEAzzqx2quBlOOtRpzygE+BSW5RQa4RT3lqSrJOt8crYzD4lrHexXd3z/jD+69xiBtepTMmybiLFwyScdEBf7m9w6/yK/zxw09xyiPmuGGOGTfjhtPNim1ItPMYkG+ZyLnSNI3BKkRW7Yyb9nErXv1LnW5eJjRfVlNPkvY9rICpLNv0qfkbQTxRUCk9F462/MS4shxH6Biw3SRstwFOnQ6FffixKtJzRno04cx3QwMvxBiFf3D3T/G7b/8j1HlELgv+7//qP+Pe/xSIQyZgPfJ64iKYv1Eb2dJHVhaLzXzkzO3PFdNDsbZBJo+XV/z+5bdXDDcrtk8T4mMkoDPwnEoPjMHmHz7if/nTf4O/Ob3Gn3/4DA9PB+Dro9GmKbxVDoLTD+k/xk+epFLQbnhSvP1vmPwsb+hjgz234ZHVxvFRcfs3K/ev+YTn35pwfkc/HoXPa33FimSZyayoNuNVI1AP/MX564jxI/D828D802dcziPCx5nJ1UrR0DIr8rFAckBYCXKGoJhiRtaAh2XGVgMuK3txL+cRtQqGMeN4XPC0UpwLA/D25oTfvvuAj+sBvzzd49V4wX/8o7+62idfXu7wsMxYS8R5HfDT1x/xP//t/x6zZPzVt28g//aIjz8e8Opwwavpgh//7iec8og//fMfIVwGlNuCcLuhrhHylBBWweErQTqZnzfmgdtpOgE4WR/0yP7k4Yk+9e3dM35084C/Tm/weJpxeZgQzhxfpUskGDsoipCGfv+XBefPAs4/5jSBfEOk6Pgrxe0vMqv3bwPKLDh/wWdz/EXA63+rOH0e8PgHbAmcvwqN/s+WPcX0qMjri5bYX/P6eye50zRhmqbvfmPfyxQEYoqsmmKjP1KkQigp7hWY3UuHyDEoCnyvkIr1TSaCHq0fZC9aoqoNHWoUWK9uvBAa2bFQmYi8oLaSu6XX1YH9vYq033FZ7hbofA+4UAd+owWkXsHw6zS0ogVJLJr5dCX7bMVpGfFvHz/H0zph2RKKBfwcQQH+PwAZKyRWjBOR+2yjKQDg/XqDKWTUUdgYXyi+cy4jHvKMpzLh43LAUhIuOWHNPIhgqpB8do7eSatMVUM4+zqjUzFbskoHEwpQvWlCiSm4TL33dbh6tfdweJIbds8X1RF4BtahKNSq5mqq2VIrg16/hCT9ORpN0nsmNQTEkBBkhOpwnchWxX6eqFd1ZT/7efdH91Uwf3nyu1cft7XCTsa/0batupAuxkJe0JLLYJSrlvhU69Fyu89EliXsPruoVd7E6Kfx+jr2L7fxPfV7T8N1VDvu+lDb7/Y/TmV24SmnpUNsbEawqm4WlEvEImO7pBQqnhPL7K4CXqy0JFEhU4GYuEkIlTQu+5NCQZLalJQfy9z+fsgzqgYslSjrh+WIp3Vse6pqT1r870bJDkIBGe1rcZW86W4N0P2C99NB0Ois/r7Baa+7pK7vGZCKvKvaNJty6jnQqbiNRWNrHmDA3e4aqyJIREgHIChEV3BAK4DJkkObgeufpan3LgKgHXlvmNOQU6DvF16rVgbUXVEelnhKO6xaMq4d3ffr90CvASrVq7kV3l6ACiaoe9GzAHhzs1ZjL4Ru0y1RsnXTFFAH9uzLVmxv2FKZCm4Tzfo1Pv7qa+77ak96xdpsRAXb84CTCrYtYdkSUqx4ShMUwGkdkDP7E52ay1xF2/+PY27VrzFQ1GepCac64lIZXBWE1ue7acBaE57WCVuOtPESOHbORXm+Z/86Q6H11Fftvtd/VK2KuFsDT9T8ayHD5qP3P2HzcUD957hXCKRIa6rzar12wGd/vYHTGKDSgHLfPyFXBEkIMQBjgtRduFOAsBQMxnRoTLL9y84F+Pgzm2muA0e++RgsCYBYCws1J3pyG6DARa78YTmYKzabaGIsu3VldX3/Ba/CGbB2NqBV/RmgJeZA7Am6KPUmjM3UWRTaEjoxSrKLHr30e64I3FpLgC6CuGqrrjg7B2Aif3qe8asS8DDN+DSTeul+00Wn1hJbjFGUQMtsbSaqgqqCKWXkGrGK4lM+YJCCTSP7EwtBnG+2W5zyyMpZDYxttoG9vi5UFMxw1G3QzzE0sJ1nlDRfLRZfFO+/rax2NbAy0LZr8eowq42unOwgV3ABNQfBQIaCKFqQFwwkcWYI1xGkRwsIWpvojgLdN0eBHG8QRRD3bSP2+6FaldQADKl9gse8AcEU85tOgo9It3233LHSVkePzRRyidgwQi6Rwk12NLXzXQUPH474L4ffw2VLuJxHlEtCCrD2K/riFvPuTF1tr0hhpZn7DLtqr7TxbGUE6uTMMj6P7ch53WEzoC2LVasNhPAj0s9u+1qZFfmWIMv5cYZuwSZ+7Efx+d4gkINAQPCcB8RQMaWMsg0tlrDUpwmwpSkj3w6oE2OTS0kYQ0YaK+7HMw5hRUHA4zZjMZ/9tIxsZ9kSPlwO+H+d/wARSh8+AmEsrbXwcZtx3gbIUFGPFWEJkOeJGhcDq+355lpPpwEbChaxqtss943rpjxeJkS5w6enA9bnEfIckc4Ejep9BaIiPEbEE/u3W9xzDhzQEIF8o9juBec1XdHInc3X2gIUEBe9sj06Pihn+AbOqC+yD2p+/es3Fp5SF9xRJbo/cQSHTgPjjI19YvUwIBuC3ioTNtszHwfkY2QlY6l9kyqaYnG8KG5+VRgMrey/2Y4dLQUM5WmofyVNLwXoFIzO+YLeFoB6GFrg08RLWo+iNnRIQ+AhZ9fj1lvHjvx7RY3VA0sGbNOx/2d30DtNycSpVJi86y5Q6z0TijhWPH464E++vYFz+0SANJEnX0pAzQEhVRzuLkix4s3xjClmrDVSmVYFf/r+C4wp4/PDM+a04ZTHNpLoeR1RqmDNyeLn4OcoZC5Q27QogroxIIkXHn5lBJb7aI5xh0jvYwe735oFkugs/TmLdrW+7Ri46Z5Ztafj3AVYCqOhG1qRfMRHp5Pl+xlhK4gPF4hUlDpagBGbUEm8VKK0Tj+0IB2qwLJCau9VhFagZGipkHGATC9GB3kPqwtMAWgKtUYdRgogx1ua2I0HJ1KFIyFUMNjB6rRsPXXbCisD/3jKrUrXApwh0o5PK7/ulx56ck06q1HsXoI29u8mOqSkQKv15GqyKkDmSANSnAJHHqEj464QTQBnf+ASPQZAteJNUQppcagKfEyozwnPh4Tz0ZJdsblziYmsqiClCpGCeOQ9RktwY9DWgzvHjCEUZI2oJeDjdkTWgE/rjA/LkfOgDW1d14SSrfalYjRxBSJtlMJedqgCkLn3lwRPuJqdoAfg5pzLwMBifPQkF3ABGh8ZFDYGnONTbT5EozBQzxX70VBNaMmqNqxOjp4N9fXOShETE3+TXK8peilB5olJ7gd+qby5R3pYoU8nApYpAUNCvZ1pr6eFCfBko+BU4f0CdR7I0FgrwlZaQrKv4oYMo+0B45MtmNkeqXNKSt6BInbx0iu3UCCspQkAum8uh6EF9cHE49T2ndtxS4JVEZ+3lnzrEFGnhDJHxEtBfLoY3TmgBKLM603ogNLLlz9vT359GxU0vxVWJkLRKvmyJdQhYTkoLrNxWVPlowsEaVxp3LdnCNV6zBU344rjsLK3NzDhfb/d4ON2xLfLDZ7ziPM24Lwl1Bp6EmHzpkuOqFsA1oCYGUy0NhAHdMw+/Qzz/U2xv97DzIDWtCeMnZMMMPFgNZ0IUPt67IP9uFo8YOCPBPpRUv83/s4lt+falt1bJMaAMrFX2duS4rkiAuxPL5WgxXhg/7jvja0gffvMJDrFNtZwD5a0cUIAqfcHJpk+Z5TjkijI6KOBytST3LTs7B/9LFzuBfmGwk6NnpzRe4pB4Z3xwwKNAdv9QFGYdyNqFMzvN4xfPfM5TNctNDpQUJFnRb5qD2tjaBx4yYrpY7kqApQZ2MbQp1kkUhk1apv3zJuhjQ9PpK4ziez0di0C+ZsZW53x/qD45liw77kd7hYMQ8H5eYKeEjCZWOCY8cXNE26HpfWRVxU8lxGPecLF+MPHtOIQN2yVTJy1JHy8HLDVgFwiqgKfHo8oH8e+P6M9j0IbHZ5JX803tPvtlvRKIHQ7zQAisN6RTTV+VMwfKraDYLszUHqVvv/N3sdHMnhcCdgBalcMrzGgvJ6MIs9zZPywIFw2lNsJly9YUAorNUTy7dh6wX2/+HPIt4xFwlbIYNvtFSm8nuGEZovrneDx97gew7Ng/qDAa4Iv1ZTX1QCosFRc3goe/ig3+q5UYPoqQkrsZ5/AwCa03vvxX01Y8ucoN4C+ViTw/bfIGCFY8kkGj72HJfga6RumTwVlTFhfV9RJUVNgzGnxY02CuCYm7jPaSKftXjF/IxwzNArWV7ExQBzrCqvR6ycBkmJ9W7G+BeIpYP6zCWVSimgFRXiO5r+19YzXkc9hXQZ8jDPeHs94NZ6x5ITL8wgtAXHOiKlgHje8PlwwpoKnmWM/iwq+Od/i9+6/xW/NHzFIwRw2PJYZvzi/wsM645unG5yfez/dl+sr/O+f/qcAwKknbzPu7i54M5/w4XLEz759jZIjhjkDc0b4k1u8+1cFTz+K+PiPN8hUOD6qCuK3A6YPNu/2iw1QIH4YrF2I/okjnMhUePzqFo9yi/Q+4fDERDadTJH5pwUxFcR/O+HmF7RzZ8FN7wV1iljeFehckO8jnn8cMD4Ibn5ubVmLrS26GGG89CQbAI5fFdz+d9/i8rtv8O0/HJF3ys9/2+s3V1feo/tAC959KDqrD9hVOu3rQRss2ESXdtf8HWn7wnleHmQDDAr3DpqOyWEytOC/ejLSqgBMkvXqA3V3ndKR/6BdkKB9Ta6utVGCdnTVVmX2f7+4PwBWoVS7dn8PE29AVx6WLKhbgC4BsrIqw+BbURIFuihMYsYRK2Lof5J98GaV2VIFj2nCpaTWd3veBjxfSK2ohTLmLegv5sENbbkWv+B9ilpQVKXdU1/b9qN0nGDw6a74ClED0IaTW/LbK/O7gMGAEoIBoX2O1GrJXLeh74jKOFq9v752P7K7hj28qEzEinFNmp3snrn3tTql0yn8bh9ghaKPWrH3ruj7wXvOhHm1NdG2n3PKZktwbX8129xVkpvYVGsAt2rQy5aB9oHf83W8eO8KJn+yp3CJJQ24BjW0/39b3vaM0ehWYWPfkifGJQRUsQg7ADVQECwIafkM+tXiKksKBE0hPECbKJu/zmXAWiI+rQc8XCbkErFuCaUIE9ydw9QSaOcvSnbqeVLYgQK7l1dUvicVajasQvun/QlxEKckWkX35ZgPr96Kz6u9uijt/qzZe/d9++fS9o9qp6rvq6xX71txtUnMp8tuT7HaIBDXIrAqk+z7u/152/UEZxjs97sF96RFVqiEXrnLPcHtwkJqvshoMIJGq/7OK4C+cf8sfF/H3T7U/vO9IizdVyifF3Z/XZ1ZHnf6lrfrbcPsPdAODCAcbKhqo9lM4Aap2nlY+LuBisghEMRJ0Wj5oSJAqd65s9NP64xnYyUsazJ/Hq9JKVvgzGAbi9EYN+gmr7/Gzr8zwkf7s21tBLY2+xES3qYQrMXCq/cuSNb8+6/ZV7r/+strePm/zsDaJXga+vnYF6ISsNmDfO0Z29c8lolWvQ27eMXuv63b/phx2r3ursfelxTfDvY0sSfs/GMBXOSS6rovbE8teil69UwckBS1c2Hv079ne3i/bmekWXLrrlN3icd++fbncnEWElkakgVBtanT89V9MefXRi5xsTPFno0AGENuI7UAsHe3RKw14XkboUrNkFMkQF9qwGoCnA7SlxJQTfTIK29SXvi6Zn+7e7M9WqPvUW7sxkTy37H7pcAjrnxBE1gTtF7WK3DRfrY2vQygIuzELV88K/etuzGbjU3lx9S+KvaykmvAot8XK6Mcl1eTtJY5wM51GwFJFXxW/6VKj8mcgbAjtqkAyP3fKmjq0hrZ+3nlZKwSrs7gU236NA5EAC/2Gux3BouTg9PF+TveV8oRSICPV9wzJGnfevV+rNRqX1tjzfUHCvi0E00KGcgOdH2akgmUP6cRc5pwyak5Ui2CgoA1J5y2AarC8UMAstH1nU25SWT1tkxkJRSrBlcmpSgCRMUqjOglKDAWCEABt5LIAsqhYa9pIyMkmhK0iEJGA4KH1AAFiTaaKir3pLoP8mchkDMfUFz4bF3DAWDRAogYvN3SnqcGY0z4GWprWEfqNzRyja0v51TzucSzXIGuIStkWZn/dZLZ3/n6jZNcWTc73Cv05gCNU+/jCkAdEzCiVSVqJPIKAcIQWtUzPReEUhHOGQiCfOOjPOp3kiZPdOJaMYIHmI85IEXHflCZoIZg1V1DNqlAKAiXDFk3wMdiiCC/u2sq0FIqK2Obc3B6gOdoczxl6BCwvB6uqspl5EDq76O2tVcG0nNl70UUZKNhIJqRQJAqcPhlRP3WIwZ/6Grl/4htqMBYSVMGK7AFoNR5YG9tqRxLUWrAliP++ulAm7MIJ6+JiKqCzeS6ow60hIToTZt7Zs64TELB3s0Pa6LbcTUBMGWFxme7edUl7g8U7Qf9+KjAU6cJ7SsAV1RvNWn9w/+Pt3/blSVJsgSxJapqZu6+9z63iMjIrKzO6kv1jT0NcjAA3+aB5BcQ/Dr+Ar+AbxyAMwABDojp4TS7Z7q7um6ZWRm3c86+uLuZqarwYYmoqu+IrG4iC3TgxImzt7u5mV5ERWQtWcK6v3jJpuytLTFRjxaQ/oRj7bVJ6eIeZ+309VKAOljxnKFuhUfKqCEPTs/XyPq+5oSIQOfUBMqaMq/3tXPDmhWCTsdUEdRDtIznWIvG+24OfQVrxapHYGybAjBOuXEac4E8vtxahymxtrJa7TpAETbhPtHFlTf05qB1qp7PHWAHUHMC0Gi4AG5LBsQco8B2AOlCg7i9JYVKH9mXuSa1FgCKOiUazWNBPGTkPRriVfHm7oo5ev9EztkP6wlFA57WhQIoRkO+XGbs56nTNIH+/wpQJES64MZmvxsoVTWC9L+htVNDGl0YxqiBwUsjxkDCnYGgtCOFgiRsJ1F6wCpAq1lo94ruuIpwvVW0GvRyJFPAa7219FZHYaM9k8uKcrnS5pUC9RsCED89ATJDjkeujWWio98SHBSc0kNCvhtaZQ2vskRjuMjNd0MVOEtD4VwZVrLePHO6FkzP+eaaTlEWCzzgStIAQgomgmPqpDAbHWBBChGRFtC4aJqpK8drRnreUOeI/YtTO0+o9MlApE6kwAGD/bFEhTuRnNP+HlEKxU0v1p7h6LYOJvLR+2LX2Zy2yYLehXY9HDOOby5IsWJOGdEWkbNvPl8OEFEsE8fi+8932C8TsAfI/orOZWucAi69pYevb/eMbpWvhfVzZu9Zj66dVm7XTVe1893nF2TriJi6b6fChsr3E23k+Rc2tnYDYGUXdpZXQCcGbr0vvULF2SbmiGX7vEgTVxK34+B+laHcRA+RNOJCm19Pc183ANleFSinhP2ht+Li3NpevVgJVegBSzsDfa9bfXCNQD4wSJ5eiAZ6UqcltEzjAADpyHYv0drLxI+ZzI0YkN8dyWZ6Wbk3IsU9ZYkt2XRD2xdp5zDXKc9ispiktWrMC1FmlhyYg2sUUw/WpPRazrh5qQFbfDAxMLDdwPWWXqxmd/ZWJRElKOJSgKW0RE4QbQyFl8xE/PO+sEQrJ3x+OrbSKygQIvtON6ZCFdSXdLP2wypIz1YLKQyS6twFL+fPt0kAjcD6JrSATlSJdoLo1PUtfxev/JDvdWevVWPvONrd3FFbJ2UmxX4/BfRkoCKUBClLG1+oohwi6kK17LFkwmugufcK0qcrafd7BnK3nSHTnzp+t+Pz35/x+R/3IC9sgu2t4Ckm1InPU5Ogvt1RBXj6kxnruwnzZ8Uf/TcMPtZ31gJyhvlcVl+7A9O5Ih8Cnv6+YL9TrF/QR50/C46/QytJgyiuHwT5jgnudGXAc/2CY3b6G8XySEXqz/9gQk3A4VvaSW9xE1bWldYJePoTwNmNRMYZiOUj8P2/iO3sDasgP6i1Hq3AYaAaVkH8YcL0IgirzW0Fpk+R6sJH1uJODxs+vH3B95/ukf5qhuzAVmasx4StnvC9vocuFdObFVoDyvcLwiXgEg44B6DeFZy+PEMErSfup+cj/pX80o512/OR52atgjQX7J8XzN9F7A+Kn//Tj3izXPHbxzc4X2eczwv+389/BCjItsyC8OsF6YVj9PLzhP1OEB8j6hqgDxnBkhz5ZH715wnBfWvh+M2PYzLA26PBKM/aanqlAMt/PLRk5fULS3RZ+YP7QNNjQFnFWpBx/b78MVWT85sCnSr2d4JzESzfRrz7dxUagae/F1AXYL+LKB/eoM6s1/5ROenvef3hSG6t0Jr7ATRmwqsC1lMQADdh6FnDqoAE9psLe20HFRGCiQclQEog0LLk7qQ7mqWJKpENpWtWxTJe7njnysznHPs97ZmiKttO2lKioETcKkyvpvdPxaug1QOz2Cfc76FY3UFHVfx+LAi368SNdMRQqDwmlpVTdMd5ejbELA3f4XTWANQcUAIAz9AoiGSV0Bz8YvUwqtxc+ZyAHFBSJf1ijQgXo33t3ekH+v2HTANwk5UEDwUImG0SBiwB3eFrQYIYLXfA0Nl2SG++J7pK3kKxg/E1OhD8bjFBMm4cR9J6zV3oaOsQ4I7P54GJeOurhtoO817stPdXrfDeuBoE3lO2UZFN+dfv0Wv/Gq3yNeqkve7ShbQ0BdYrb6UjWkazv1HVreB3jYFPwI8y+ZILdNuAUiCO4k3p5qBtf1swUafQ0JbXc37TMsTWJAQ39Uee7VVDFJtj6tnVSroKEwV0qj2RUydBrvwutjFQlMh+pSLa7xtoAW6UiqKkrG0l4umyIGdTHFdBviTIi0HRLsvtKIKtU7aZkBbYjowCoK9rbU5kd5K8hkuqNkdvTMq07wHgKH1TgfdkRlVLmFjSQgQy0HrbywO5CgZ3QSGHxN31au8yMDHkP2fobu3Bth0YWwhdVoo2JQpt6PSqbtuYCpoCA/nxdsz51ySA2Lppqsj11o6mYD1Kbf+ptlpH2Svi1dTRJzqCXpMLH/KArvhcevDT1jpojxhkBACFSZ4Y4DXKLRgoCrlskHRAPg5ng01tS25YUO6lEz4bOtRTupPQaKeG0HtrIVINpaEKMdAprtamo1htfbEFpnNACBUpFqow2+KpKrjmhJcLaf3ZakL38ww5U/nTlS/bOlcOHpHEPqcjU4Zfy/XjzvCIRnqNqieT+9lgOgHJaxthiL4FsxmmQNsTG6Eo4l4tAV3Yu1YEmG6F8BozhQ/e5oZbz2t17axvRl3sEgMDYmDm+LngiTs1wbEbBgUATaTO+zhA0dqnOKvGW6n5czlKDTCpUReOhUbOddwV82NGU0ofv8+X3uDAeQI0Pq3AuqE+nFAswRRyac81BlN+VLVkzytmxY1acGRSvswW/M0WFAztDV1kzRPe0WuJ3bZZ8Bt29r8c/aE+5kD2zZGNMmmigZwrvjkJFcezBlwLEarLnrDuExM4WzDEUpBTRTkQ7lFjmYVzJP1xImIkRRpdPh+5rseSGkfT/fwqEwPhdoZlwfRSEbeKy4eEsoipgfv643vTyrVeFgo1QV75SoKGitckDWXkWg4NLU6rIj6yRKVOAdWC45sAV9CCXMkKue7d/o3nhK3XeM7QNCN/wQ4M4SVCCuts93ubO9c/WQpCUOxvEiABp28VD//+Cfu7A2pcSGG1OlkKjgLTpWL5mLE/RDyGxJYvR7auLNcF87MxdUx8bX3by7HctyhHY/kUqklv9xHbG45hOvNzTBTaki6ALgyQvJUTFJBH2r86K/I72t/5U2iMmrpUYKlY7tlqKe+J5VOZ3+NIvKvOSwXKfYUsBcthx9vlik/piHhlMFgOAtSIuJKls70TTF8U1KrQlQkeb6O0VqC8DwhB6ZcUQd0ikGnQ3M+Ru4wQFSEWstcKBaDqBLw7XPD14Qkfr0ese8K+JuBpYtJ8rkARTI+C5RPtrSthu80vJ2eadkVwIu3dLjDRYn/vpsGTaQ+vH7i3fY7DOWL+HenN+cQ5CjugW7c5ocCEFzmmHDdge6vQWaHHApnYBUaCoj4ecfw+oybByx8FlEDVdpaMWCLjNg/+e19/eE3uYYHkQMcp0MhAFHYkmViFOTBpFEQA6mL1toK2wV2h07O8zHpbjUkuDcVyukZrlWFZXD8kQqZTVQ6pCS5EsQBrECySKRGFm6dGM2WAW1vtlx8UdYrwlhkwZ6TOsSkFx71LzrcX1z+d/w00MBvrWEJWlAMDUbHsdk1UVrsZY6NS5IMAh+6M14kGyiF/3QOKAhsm1gFMGXPKqJpQCsVMKDoSIVdKjIctNsdMYUbfNnZLEkQPNPrBdiOUod3Y9d/ZHHkgYI6W0xVvqF3KMSWa1X8+FWVfNQsePIhwwah6SNAYrE6MzkaF974EBTcKuF6yIlhWP1h/s+pOutPFamXmf+ij3OYgF9y0EHK1VhdYG2m/hh7VY2qOuvdL1iQIa0U8WzCT5da5Guj2rWf0EBCLsRNUPDAMxpxAc+YczXI65lhrLtNkStEW/It0589Ulltdce3oiP+cSQVPhjCz/bov6A1d1unX9hVhY12o17QBPWicXpRCBlYP5q22arTkyUCHlKiY50zRKVHkGrCW2JgKLvywr4n0m2uEbAFpFasB6td6TT3sg412cPr90DHt779xigM41+Y8cs93yvBrWmWj/OXaEgMcD5szc/7DRke2BYmNBq8WcBTAmCiyJgR3srUH3HRobaCXGeHAmi8tBTogXOJK27Uy+XflutCTJXRqaMJ9catw8TEID0Btzpv1x0blep3Ytq0Fo0JhOVjw7cFLMLo2kznNgPQhszUoNQD10BMHa7Fa2mRjV8G+wQregEIXN5Ta0D/EQEGX+wWaQqvTL8fYHNHmjLZ7uPUjA3pix+e4JXT8PVkxP1vAYIrb3rJDTJjJ+9F6DVItgpJiaxFXAgV1XrYZVYHLOiNfJ2gVbC8zUIH4KRkLQdo8NREbxe0aF//OHqz480GBCkGAUkVcOlLVxsCQWfU9OvdnhVg5kSFONfHf00tF097wbgQz13swpoz3Lq4W7IrPp63plijzpWQ2xqmV7e9DQjwdza7XmyA3Pl6BdOC5DyCcdyDadwpaUC2Z98weuMF+F1qLw5GhQt0PbaJFsCUgWRCL4rgaqmx9VuE+DNBF3Aa2j9r55Ojy9tUdgDuEvSI976y9TKR+1dNMFsBMu15TAI5sVyJ7Mbs8rAP3XwxpFlXEnfuYrZ+6w+v2uFHxYXoE1ve3oZZKH8ipse5c+7pjOyKgeCmIWn24tSnkllGc84wlZjxuBzxviwlgJux7BLYA2RkMsPwjAufYnksUFL7ZrMWNlQaUA7q9dWd/QdvbPcChbfC17WwdJtIDVe/3HmSyLryPV8i32iuesB8ZHoAFclezeVaa4YliF5zUJG2feSlLWayFkJ+3Lsa37WTYHGfoEFiXA3B9FyC6QCpw+PXUghun5YaVwcn6QYEAyN8sUO0t72oS1ENqaDLF+Dg263vB+g5YPgXEK21m2NhCpuwJeo6YPwmWR8YH5y+pc1AO3Y5UZ3rutt5mxX4fsN8JkUZh9xHIoIhsrf3iFXj3r8m0WN/xs2E39exdMD05gwDIM1FcJMV03PHlmxfkGvDD4wm1kMWIyuts7wuTI8/G6LoGVCQ81yP+7DIjf56xXIm4L58siLQevmURxEhhwKdfBqx7RPztgsO3tMvzTMN8fV6ge2BrnuOGl6cD8N0CFPqVJSrKNkF2QXwJLdH05z98wG+nB/zw27eIj5E9yqfKNWEieedfZVz+SDA9BkyPZJXuH2h/4seEkCcsT4LpbHW3dwqnDPsmrwmoJ8HlFdBEQS/BLkA1VWYx0Uy1c81jhrFMx3sWV2sxhgocvyG7Zb8PVHLfmCiYnoD1Hdl7YWcrqzIDl68P2E/s0lLya4fqp19/OJK7zN15cyGbwQMIuRothpQLz4CqgL0HJ3L9dRPSyLwvZ6Emrme9oouK1NocdhjdzAWsbhAHc3JwSEYlCoaIoDvfAdA5/SjbKXu9ySw31VBH13Y6gJoSyjG0zHfIPUM4vnxSmwT2xgbY3LQmmmT0p7Lcor8jkgAbD2YftdOjTVABO+k6xeppY6iYYzEhKSJZtQRmra5sGzE/MsuZj6QgSCGF1FWqoUN217N9xZx3Ry3AZ0sX/dH91sj6HKdLeVsEN+hBFVo5dulMsRqnvMm1HxCeqPAAmmqAdrhVHpAa6DA1RNFOZVEAe4F4napQsCSf+PmwA40et+19DY+Z/z1D56nVJPKD0nvgjgGxADpF7PfpZk3WRAXqlgRwsTO8etlYYS8Qd6SCMBDwOkSnCBv1MuTK3raqRl9WaLDvrwCsLRCG/qE/UoD2/Rt6ogl7QRfNMqcg8v7jRiGIhnCZtoiYYRvpXvweYHrJkK1S2Gfjobjf8XvnZ7YMK4s0eihbttiBvzgTAAih4u6wNdGpooLzOmPPkUJSl0SDbzVf06eIdO71cE0FEmiOuk9ETSapP0xMjQBmmFKjdmTXWQHgem4JJ3Na41oQ18rgz1uXAS2x0tr8OEo5UCKZsKiQy3YbVbWFZtT1UmmrgkD2+eYtEipEAxTGMLD+trIs0JyBfYeOtPzJDnvvv1kKVCdoWJhQqj0xFHJFVUuy+NqwZI43bpfCGt1WF2wtL26esXBdM6EmLUBVmDqz0X6YNBNTJdUWNIfzbjTOxN8Voy0XhRSyjHRJRKUruD9UGSijoiaWGZCCSFXpfBcbGuXKnrzpPkd9kLWt81E4UENfG1IU07XS2bc9tN0HbAEIhibVaM60AlIFISpbsmR+uW/hPUeycbYEvRC1CCsd//mz2W9LNrYka7/V5qC2ej4Anm1Xc24cGa0Q1uiJlY0M5Qft85bUqeDvw67A8N793souzhXzp60j/gKUu4mMAEv2cO+YrVn4uXQpCOvexvVH67/63nPGDB+qLgnhdAC2HXK+3jBz5PMz8G5GPS2QUhCuG9dAkBuUV0pFesnY7xP7xnrORRz9pD1PRt9lj9Xaz6DMdSBVMT3uCLki300UyxoSIR7c+h4a50tyBYJgv4/Ii+D0zY708Wyfo20udxN79gJDgJSASsEftkoc1kHpZ4D3d270wm1wVi1BoZbHDbYHXChvuw9sfWi+TciK6VKNaRaQ0UuRiNJJCyYAsD48ByAqJFXsknDJE+Y447zPeLoupiwbUbIn5slScBvudb8+NxR56gFsnYBy4lpM3udXzKcxsCDsRstvgpmKvEgTpfT+z9NLRbxklGPE9sDaxzL3pI+fKV5iNT3TN/UA0YNZqfT3pLI9kLfo0yDsy73EFmByvI0RYoh7L4Uxv2DbSbs/TCjDWVEOiu2tsbsUuPtrNSEmjle8UvxseyfYv8gI54jTrwNCMQBlUusFzPaMnvDwHrn5CNRDhaaI43cGWq1c1/HCMVk+KuZPGfkUsb2LFDIKPTFAsTY0tWsmlHgGl6OSwXg03ndmvFCtfGL+LPjyX50hCnz6x0cixMZ4TBdg+UQq9PPfY8CsS4XMBcfjhl89fMQ5z3g8H5C37mvvbyu+/sff4fPLEfnfP9BXXm2BXQKqTphfpLVBCpsnaO3z94IoijeHFb9884gAxb96/hPEX7O39WHKUBU87QGyBhy/2vBPv/wG/0a/xvW3jP7zRN9l+hiRXrgGNHHfvHx3wosAx7+aMH8Crl8C69eefQSQFO+/fsTb4xV//ldfIewz8n3F/P6KkiPmXx+xfGRLyulCITKvza5DvXJNgu0BWL/kuTU9h9ajNlwZHLtNcbX8Gi0RkWBlK9oZHe5fzfx9ehYcf8dzfX3LRMHyUXH4TLGw9Y3AFbXpFwKXL0IrBS2DLuzf9vrDg9zx5Q62Wj2T2KFjf9fZspcmBvBaQEIDVbgA0PEQzzYZdSOFxulvgit7QetFin5QsjdqaihXa+qqwQysH6iCJtYzZMd+WlgG5jjVH73Ha12C1TNJdGelq03KqDhsQR486etBbe2bxWuRb7KNl/6drOETCALrDBZSFTQIag44bxNKDTivE/YtIe/RnKJg6mnSjJyvwht6njtH6oX4FrBPPbvo1Kgw0Jd6SxD2/RSvI8VPOYhmNMURQnP6vQ7bg+iRSuyfS9Lnq08pkIDaqGgBDY1vDl0PuhrtzeZD4uARjs5/m+gBAfU/AXTELSHih9WNuJQ/bqPbWdBhN+VU+n5jIMLtNYTjffuzBgsQZFiLIZBqBTTaMvGY1J3wVwH8+GriWUG6w46+T7pzhB7IOhPAH8frtX2eYKIkamNsjI+wkYbT9gIAF+vpomuULGFfSdqQMkVkANc9NbGpqoLrOiHvkT3hrhbQ7GKJG2nOj7dT6A67P7ft3XHr+zMFS5IOiZ3bgUOnwY/zbLWn6sgl+vsa1dzp8cPnXDW7iSTZnHDuhzUkQgquq31jCLYC+jwO9ma0u/oTdo7fI0AkZRlTPybqnCCTok4RZeJar3PfW30MfH9wXQS3CyMih3GdCBxhbZRjVTKBAgMfhe3VNrb2VkdJckUQQ22DibyFwXY0FJL7whNEGG2SjZsUsK3wsCV9vYz2sVHS7bnbmoqAVulzPdSno9l3SwTYHhJBY8hUQx8g4JquVBUHQDZODdCdqFbYWaoRjHIn1fbN7s6koFEnFUDXRekJSQuGwzgnr9Z0s5XVs/YM9Nq1fmIpAX5+S68HFTHxOlNR3od1YfOoAmDuQZsr6Dc2gvsPpunhdbuttYtdR85X2rrXom3LRC2CKFA4gyU2BeXXrA4Gz2isrEbjnXzMfE8DXZzP9qOdh3UxpNWDluF+mgJ5sn2r/sdZRp32Tcql96YBbf4YGBtCTnq8QMrOXtJT7JR0Gytfexp4ZrI1i/T62yEZ6M8Xts6k857noViCw2y2iHaxI29BZPaVyWr6KMiBiUg7GzxBAQDXnHBZJ9QSUHJA3SL9FkvqeOuidEULRAG0n4vRwzUpymz+mWl8NHEt34NeVuNCc0BPaPgf+1ljRhQgqDbV9LjS3/FzkGfe4K843bgxa8znnYeEh+3XsRzItUx88tiCz+fDOogcFyBxfsOQzIlXafRbV/rXaAktm/eykCIL7YkDKbCesIr1XcD1i5mtee64RkjVZZ/YemRgc/ki9D3sJRqzYr8XXL+YWjDr9+V9osvS5w2VtaDTC3uba2QSZa9c6+Eqjfrq5/nla17A+3NXX2dwv5zv1SQod4AExeU64V9/+3PmWyyh6BTd9Cz45rs3qNeEw8UQ5gMa+u3zWZOdWe5+euAewXWrgu+e71CrAJPi+U8qyqni8zN7RstcgKliTgVbSZhiwfMbZ+HxovlNRT51Xx0AwrPFSJNie2No9+yHEteJmF8kqaIsDDRDNzdmA1iDX6Ml4woQ3B+t/D1gPpQCsnO+/BwNWSBXiyUMAJuegVZyFrnPgzECysloz0Odup8pdUErl6iRycP93nQC7hh8L58E0zP3VFwFWPGf9fq7UVf2gSmVIk1BmUW0bB7rWiI2Q2wabaoFHfZXEmynqTmbALB82hEfN9Kdj4nZ/UynMJ43yHVHPS0od4vRoAqkVpT7hZlNIa1OqqIuCZiUglPWeqPOPpMwZ6T27KkdVv6c4mjgbjWSc2yOY7wW2wCxIQ4AKNP/yA1U5l4HcoPYoG8eV5EOuyJdClSA9X1CTSzQXx4rilGnAoDDdxy365fA9s6MpLL4/BlHnKOiXCOwB8SXgOlzMJ49FxsNiqKaOEqdSDPyfmkaSeOZH5XNwL+icxOMBsSsGRtzAy6SZNLhq2J6svpSoxCriZE0Kf0QkA9OjyYNLL0UxLVY5lDsYOUA1UinlIE/UfV0MUTUaOg1JOhMHFc8QLRXQ48MSWs1LhFEK4dWQDoWtjsHyAPbyF7Q6vRko9nXaeijGPq64rpXy0T2hI1/Lj6vkPVVasq/6zCxTs0NrNeZWbJG4M/ggXZqyDkA1nhM1iLHmBByXslGeJ10AFrNJSoYeCcYVZ8iKJotM21JBtZsSGMsaHb03g0dOnoTBSVEhK0gnuk9pScYesbSAq8BjhswndEOVdqEgA1EAM6irQ+wKlAvCbIFE6Uw8TNrTzC90AlxNsK4KEir0V43Gbrj15AqDwyGxAjnlPPqAWsLclQMFRPUFEndvRTcio558DHQyfdiDzOsGaPDN6fZa71FrAY8AfNgylWZ0DPntzlLUbiMjWIvRVhrPvZ/tu/TGIBlRj3NPbgQIJ8S1/hA43X0Ma1E4sXGyp/fBXbCPnzPT71UGbS8cv4VgM7cV07hpnBVYFDg47RlyLozWLmfUUWaPUeuTMCGwDIHQ0zUEjedIhgsgWd91w+Dw29OWTQWy34kyunJSAaX5vTsoM3whIKaAJh2RzolZk/aPjEkSAOQ7xX5RHGQ/TKxTsnaxeUtou4RWAPiOSDsRDSaqqvyHl3wqiFxxqKpRi+FolMEjZaJHV2AxP/26TEHP+SK6SWjTmxJU6MAm9mVwQlUc/Snx8LSC1+LAJy/IjtrHWWsry4FEgLP68R5rtoDAsASZJ4QLQUa6UQ7MikKhPOO+s13kCkB0wwdNn19cwecJq4hBaTw+9Z3UwtioFa6tCvqTIocBMAj64lrIqWSLWMcbbO1FOXG0dYAbG+57ubHTNtnCTBUQDba8bIYuy17kIRWs87AgIyy/HZp617FBMwEw7kqyAeqlIdrhrxcuX+spyhrPPkdQSmKVUyMqSz27KvN34u1/kvodeXwNQUks9fe09rrjKcz1+T6VrCbAq6XMMku0KvVjmeBTmr2gp8Noni+LlgfFyD3ZE564XpPFyYr06Wv8/WdNMqjFM5ZWSheWB9oe8pOg66JDne6kpZLYUxDrWOn4Y/K36RcW9vIQHvnwmpkKdXut0w9EFZLIJXJEluF97ufuEB6+zOOHVlM4cY/1gQ4TX+69HsFWFoR3911HzV3O3v4QZHA5Mg+A/ne5vbKv8sRTUwIAEUX7frb+4LDVxe8yB00RTKc7ujf3f+lYn7hHshvgf1NxeOfco6W73n9/Y1if0emjLMM6sIgaPlIn3J7S99VdmD5RMDl4S9XzN884/jVHc4fZ+yngPPPTbTt2WqMr0Qh1zdCcSkB5kdLYFvyCWCtsK6C+XNE2AX7G0GcCvZPB4Tf3aMuCv3VBdOcIZtgfqQN256PBNiunL/9DYCk1F8w/YR8BEKSxuAoBytBmRTrpwNWBebvEuJVMP2LZ/zX//LP8K9/+Dm+/bdfQiNw9yuirUEUn7cDTvOO+Vc/YMsRj89HaBW8/fqM96cL/urb9yh/fULcgNPfcN1cvq4oX2fIseBw3NmOcU2QoC1vm6aCfF+hM53dal0kWN8sAONtRGP/UBCQMYD3zp2epYN1nuQXIKzA/DEgXtjiNa2K+9/wzLu+E1y/EAt8yRB5OYG9ey/CGuR2pgDbGyZU4howvQDbG8Hla/5s/sULljnj8m/fWdJGsTwryvZ7sqqvXn8nSK4GQxNeO8xj5lR6YDdS/Nrv3HEcsn1Oa6FDLzdOfr/OrVPUvjqJ9c9ztKs7ew0Zs0CgIVbD7RNxQg80xtfws9e9E6VqM2StybsdAFoYkrwWT2rXqXYTop3aK6PDoS1D2eqRVMG6PP5pJUsCaA6oVam0uYmpaqI1oR/rar1+BH5/lsX1MWkce1uUdSLiRoXYPm8uFtbonPb//rg3wmBwB19asNDRA3v+ILdOr8LQHWmIlgogYzRZb7+/rZXXa8TvW9DYBj853wDwuvH0+B7t9+HrrAtKyM26avWZQaAIP/1dbRLtnosCqQdSAHpazulucaDZGdqhdjBLsJGpSvqzgPv11Zi0IDk4N+3VmPlagbY5HefYkwa9fhpt3TZ1bF6Af/ne0U5zbwhusLVRhdpK/pkCor8ZdPRF+xCa2E5wSpsFtMHqRZqgRB7mC2gJmHZv45+Am/Xa6lY8azv+bvy3Z3g9Cz8IIzVEb0B7RtGQ9ntfBx7gekBf5Uc2T12IbEB++3ru9yquKVAq51/sYdoz/PQeaLRhT1YZlRcirVaoCWT5ehjWwIhW314XfZ1XDIyPgBvBHNh1fDGM+8qetdXzj1s1CO2FXd+Rkl5D3+frR3txXJPt/z2QcURFbgLBUXSoXRewJEa3cbTZ9vMwlLjoT/ztTtUeGezukWs9O/IirR7Ma4NbwFt1WOh+k+golX9NZLJSKhMhY13fuH6c9dCStH7O1XGu0QKapqfwupxoWPctEeFzZ2g+Ww4N++GnXmZLb38mPaD9PeuOZ/9whvq6Dn09Q3sCp61xHy9nYZVxjeiNDRgDfr/HJpRV2CpLJTBp1X6PXuLh1wp+Ef+5tOQvxrXnY+//NjusUaiY7+eD2Fkur64ht9dqgl4tMSz9mnbWtTYy6j+XniQYnmdso3Vzr35u2NrRKni2kottiwxwvS1RluZPNb9qUHh2VtBr32q8GbbrwnA+D2s6aktO+j2OdP6fYiq4/+Vj0AXyZBinvhd+6t4cIXQ/5Ob6g6/YhTwVYqw7wJ/BWFa13qjO1kmYuCoKUblFI4Hm54VVEJ8iwk7tl9YzW2FIOIyCCj7feC5W3ByEoZgtWoUBjZJ2DPjn0fxNaqaI3St/Xg6sMS9DeY+PXdi1lRs5S6Bd+9n2pFNq9z4OTCDQP6jFSjwcYSyCIgFJeuLARdcaGFdhGi/SbR1sml2fwP3jxgCwmEWBEBR3aUUK1dgXXUl8tRaeXl4IUF25IiDa+yQohdSqNGE/Jt0FWoQsTRVo4aStOeK8E02Gva+UwJZGiyKf+l5q62xYD77ebvaslSN4LT/A8QpGD6/F0N1yy8ZjCyGF7Oj19KX/vsUP5lOUyZNNHKdaQivZ8fFt4/yf8frDg1wR6GG5MWw3h1nV1s7FBS1gcLYbmTIJgi3oLnGPGydGckV8vkW6WvDq3xdgASxb+mwPAXFjixipau0P2BYAVRGvBfFlh4yCExYAix8uHhyPWeg5tnrgdGGGuiwdAUhnQzRKz8bVyJY6ycQp4pUq0sUCkuk5I1wy8sPMjK+YAS28/+AZmCHTiIAm/U9FOlNKPJoRUKIE6TG2lihiRmB+pNNfJ2ZN4koJeKlAvXCu4oVzsN8Jzl/bJjaUph4VGkiXTs922JmRTtdqaIeiWjsHr5sqs9EjDCmJl4p4qUPGGkTRhc3N4zNR/PwwW72eOT65dFrWEqEC6z/JAzlevO7OnT7W6OkUiOBHr7F24QzB/DghTInXvm6Q2tdbOC50AHN+FXRrz7kYa+FGaMopYMFaKpmScD5S8CtspdMpw6td24SkMrzOttXkTkRrdbHncbVaf2m/dnNIAWCvvOdlApapIbvtYyKsXfRbcWrKapw1o7+GXaAhWqDKdT+tt84RRViIhKTzDlRtbVtaXT3Q7EVcC8JeUY4RsBYhXucOQ1ndYYiroFYq7enCKCSsAeEqSFfWmYfc0dvpRZsz5AfXTc3W3Gt5nMFQzSGCMCnEhuXgAZHR1nyjb9qcSwXipXCdevJKh+/ONgfRa7Z7kHeTyDPaLRqydDtPAJratrwaS3XxGf+s2y8FsGfUpydISgh3RwSNwCe77jSRzisCVLYo0cA1JlEgmRTPGjva4DV97cBSF6bpAkOdsaIdrfWA3Ne91eLWZUI9TbfJMAVkK7QFxwivURcF6hwRGpplNYC5Mxzay5E1o8NqSLfxvaI5iB58u5Iuf4gW3IoSyWjoThJWFpzN7pmuAJ0y9yQsUWHrL2RvT2TaDHbmkbkiiOdAxGmxe8qJ329nZ1xJw2f7Djp/83NFuhINKpNAVIgcoSffajI7bm3oNJCaqElRL5aZD3ROKK7E/ewKpLRnCaEols8Fknm2jogUqdvGWEhWOmQB0+sSDsDONAmN5QAQiQ1nUBgssT47mlhPC7qn2J4rrmrPZOj4EhEe7qmjIAIZyk9kLwhlJeNkira+Q58n20/5EFDveX6nl+6b5ANVcNO3aqwr2uoyB2AOSOeC9LKjLBH5nrDS8mlvTATkCo2mZxAC1IR4wq6YV/vcMUCiYHeRquSMI5B6XBVhtbOzKJB7mzcpivkzbXa5n/lnYevEOgnyYm1w1mqUUUVxJtbZ9wnXalms9tiZKmJImQLLI0U66xTa+1bzX+JG+vL8rJifFflAtLXR5YNNpDnEqoCuEb/5iy8A7QlLMiQ6JbIlT5VjPz0XlENA3AQF3GOtxKsINCvkyqSZ1wOGVZqA4H7Ha9bJ9tKzYjpTzTUfpe1VrznmeSm9z63t6ToFZGOF+e/cdvDzBCn8PPa2YyHzjHA72VoICZooFRWbpbEpXgffpJMWyHlFyNe2zh//tOD9nwuOPxRkR1MjgIXPPD+ROei+yflnAR//yx3hmIGXCds3J7beuRvOKACXLzmXdQHiJRDV+0xUfPlEu3n4yPe+/JHg6U8zk+bVAs1vqZ2QLoLlE1HRlz+u0AScf5EQr29aOQcFVi1wUrIKru8CWw4egHyqcLEwUcXpG6L7GoBsdjVsQFLF/ClgkwVxF9q8COgPC3JU4KR4/lUHeQBAjEodV7Io/BWv1D6AAttbIuEeNGoEZKmQWLFNBOgWAP/Pb3+FdU+Yf/nCeRfF43XB588n1OcJ4WHHVx+eAACHZUepAZ8eT/j+h3ugCvQhQ99XzH+6QlWAv7zH8dcJdYrcjwEI1oru6fqAp6AQA7hkF+C6QJJi/9WKmirq7w5YvuMZ7uWQYvvFO6bUBdjvK+JFcP/XjBH2I1kf6wdB/fsXXM4JKjPShXTisFFUtKmtm80+fhNQHqXtielZcfxYUCbBy06djXLgdb1ePj0HpN/dQQpwKGitv/Z7oKw/cZD8xOvvpibXBaMMhfhRNur3ZNZalsAPf88aAi1T2hVCB3XRMcNvGdiGAAh/RkPOw8oNpXdZYRYqWCsIHX1HOPJCxCO07+ho72BgxOrskmVykqNGdKLSyp+PPdNYoO20riFY2ivCmiGnQZ7ZnOOGPJkz1RLzflCYkZUsYJsegHWQdvs7WDhvX+l0trCbeMYkrb8fnRRhss5ub78zAYA2X91JAqT1P/MS0lAcFXZ60zCvnjUVAbSa8a997gdEhQrbGRWpZSuDmtNcFGEvVFOOnp22z3kwaAchXOSpVjpMbf48GBB7JunrqhSMdati/UjRMrU+ntozubZuW3ZY+n29pi5730dsQ4DyGpFo2bXaA6XqrWl6YKyRVE5v6dLQpCI3CIon9dr3ixhtZKCR+l4Mlsa1RdCcTy/kcolZlbamgiUg2qWs3i64EFD1ZzRn1pC19v7CdLaUMKAIwizmgGTy2gwENKC3gxjqEcOOdki2jP9YE2gBS5sryxz2bKw246+RFC0fw7FF1m0yztag7UFvJ+I1WAAGanNl0G9o6N9qrl+zBoYEBOtWb8cGsHEeE4B+fzbOmjMQI1tJjfXZI8pZFdAKiUpatAmsNU2BiIYKoQ7joeiI/Gskzqn2A2Kt7C/WGBwAbkS6SPO34FG6gJfnBzQanTUKg3prxYSiLDdp54s/V4WMCaWfYHm07zZmjtsK1xdoz1bphOVj6Git6z/Y572bgLo+RMTAVulO/y3DhWu2QiCWRKCj1cddnClkNYjRgq10LsimDt3mQrQzmaQHuMyYWxuHVBnI7kAtMqC9tGOxanOyywwiRFtFWAuAZPRwQ7qNegy4rQFRfkPFfyrQ5RhZXV8lvVyKoiI1jQvA/AFHJD2xpOCcG/2Y6Gmgmny7/jDntQIlown/ub179aqRdWu0b37vAkQ1JVBr/VX7eUc7b9TRKTT0TLbakq29lKSX8gCArJXUZRchCv222/yhO6UIwnG2s04hPRm8mejnErso18g08rXh9cBAS4LzYfp3QQBkdMDC90JhIosBBq/rglWhkEURd0/uBmzqrC30AK0OQ1+pJCt5OKwqeo9Vv2e/32rokuudVG3iiH7eepCskbZTo0JNqwEAdAK0AtWf24La1wJg4zz7q/uCw5E4ACJ80/DZYe035okzRWwOG2IO+pIO0NzofIz7x/2mamfoaM8fcgNBRj+8po64TmcmCubPO7b7Iw7vr7g/rvju5R3imYvPbXywS9cZVt7D740bE8txU/MtaYviWrG+m4GZ54hmJrPctXafWA7CNj2HgnWxTghnU0c2O9UZTvz+fM8SI8Rbg0LF4x35FHF9Z0l1279xY4DankloV70OOp8smWEK3Dqss7h2P859ZV6H6Gg09hgEkFjZAuiY7TqCzy9HpFTw9u7CFp+Zyvn1nJAeI3JSdloRRbSBLnuAnhOZfHPBdMj443efUSH4s7+8R7yYHxTtHIKt72oAm7NMjAlbF2A5bXh7d8HfPM7NNlNwijGM12qrnRN1QkuEpEtt4ngaFKfTiqso8t0EBCsRk46It31erZ9yRkOCGZcMyRPlvbMLie2bHVg+ck7ziUkN9zP+E8VP7fWHB7mV6p8CtFo+CcEWsjQEIV4KTt96phEN1dNApDJeKgfbHZjRlgQQ0TDErfqhOdT5SQsE+bt0rjj4nnBE1jYoa2MFohGiSwsgANCZE6O4maPU6kGPE1xh2YO3UBhMxWuxSXaRI0MVKrNKRBe0w/2W6YtXu/YSofFAdPilNDEOAC1Q8nYtre1DIXJQo6B8APKdBQnZnWavZ+0UCxdlyItAPPtjm9VFCWrb/FyU+SDIJ9aflQMnJ1685lHaGOvM6zG5EBoaEjLYL7JSUVBDR3gAcD6VSB6AhoTaLxv9tglIRQChB3X+ORSnLd325IQIymm6PXj8UApo69EDAg1izv+wjRIhPcEOJGs75bReuzcpdVB6NKcsAKXSqMcrjf6oNkyKkbWUWCaiWbtLNA5OeTWEYmI9JddiaOqkRJBvg5oaxQ5JrtPmvDQH1ByxPVuyyMTeRKG/R5iKAQIdSkmCeK047P15ALQgO+zVxKX6fLjIy2uxH9YYGfKohoy2hIEp9poq7KgWi6CAU18MaXKBNq/rdUXL4s5w7fcZYHWQO8Wrgj2HO56eVBj3UKPhZM9+ogU3wYTWgvWkDXslajMF1Hm88eElNtfRxmcI9n4SybXgFtaep/1uQKAkVyJYzNjxPZ7MmRLC6QTEaIqzQ2Ji27jsKtF+PSy0iVNsvXHLwjlKV68NY4DaknejMzUFiNi+sMShq0SSm6aQNdMxmye2AApg4CRodbM6CTBb/SfAfWX7v0a5SahoEpQ0AUURTX+hzhH1MBHBO7NmQxJPcib2qtXSxU7TgjlgGaizIC903OO1Jx5dLMvZQpoEVULbc2wBlaFTRDl0sZ+GAFsClNfrpSx0/pgwcb+6GsDeaoNNfEWsjteVyh1V9aCIAjl9g9aJ67nOSkaOUwg32uEaQdGeBMTKM8ZRuc6esnsyISWOVW1zryI8r4Ge7BmXvCc9o5A5MP68Jf0GZ3gvcFYVeyTzPsJWGEx58KY9yKkpsG2g93weS89jBGDr31gLklkfzI1vt5ANiRDc2FbaJmNvmEM20m+b/+I2HkA9mPCU1+1OHtDTSVcB9vsEfZewnwK2BzJGlsfaxYYAeG21CzSKakscl0NAPgSkS8X0RCYSv0es3lkNreR6Wd8yAI674vCpNtGXluATR0+1UYM5T7U5+mQp0dbFOSDkfn6LGvJyCi3YCiuwfB9Qn0JT75Vi6w9EWzEpEUILSqYXt7na7K9TVrc3qdUYN9qj63Jt4L4y9NXbMUK02SEPdnsCyBKZWXH8wdapGGvOBLtiQ+/RgunphWy8cjdxHmNPTHRtEbKbKNjHdRTc3lYBjCXiyaLpcYPsBfl4xxprV68OQo0boe8Zv3uEzhPqwxF1OCAP/25BPgHf/cuEdAEO3xNRv3zNhNX0BNQL8PyLhPynE7YH4Pr9Ede0EHFNiumZPVrLxMBSYO2WNuDl7ynwixXrN2yRAwHOP7P62afAVpk78PCvZ5QFuP6sWiADbA8B1w+C688U5VSwfDCF1r+8x/Ebaf5ymQXylvN7+Qq4/Iz7Yv7EfV6eY/NtNQqefxnx+CfRBKq4nfOJc7q9VZS7ivQUcPyWwdb2nvXZ0zM1PMqBz3lTjmABbJ0V+U4NybWa0ye21KkTqbZSgPoysb7c1pSkipLYCWKOBUUFT+cD9j0iPrHNEpDw/fQAifSxVAE9J4RrsBKshJoW/LvvjlBRTCtVhjWZnsikKG8Kg35rkShbADZj45hNunx7wuW7E+bvI9KLn0ecu3wC9G5IGFwEd8+kdpcJ2B4i2/csHK/Lv30HL+HKJ66psDNWqDP7Al+/CMYehXXkADRRhfrp7/W+t/PngPkzMD0q8p0QKY6K8y944/HK98WVZ1JZb8+U3/f6w4PcUiF1B3KBLhNEZngPz7HZerwWpBc60+UQLUgkZTSula0bHI2yTMkNPc8cfBXQWfQg1+lvnuWxDG+6FIStohwiKSfag5lG5aqEcKQo0tUCLBMMcuRGLIiHCGQ2w2XiA417rpapBJqSar9xIJ0Lg2F7prpE1EMAKu9TVEklOnIs0ku2Q8VUJi3LpCbu45kpKYDsgIpi/UJQThWyBySrg2i1tbkHuF5r0IQGhrrcmrpRBpxqUCnOsHK3lhPf7A2dx3oR/1NnoDRlUenoT1UG9dIPK0cGvKWEqAf0hhqV2INcoBmNalQvCvpkeFshiDn4W0arL41o/ZKDHcYePI1/j/R4JI/27RUiJAKKyerPA5M6IwtBFNgLggetNi4eNHnv5TGB05S6zaETAPCC+tcInggVQRNFUpy66VRHT+a02xYGv2FXyKoYv9hrN6UwyNUgRPaC8Nz2YGII4tur+t4D4l4gOx3FOls7o1KbIxd2yyz7/jT0cngyS+KYKnULcmtH2APXZplpyDW9CqoLF4aYw+KG0CnxLnZSJ6PQeCBo+zFYzSNAWmcwW8FMqDR79KO6YRcL8XpjNQfFUNywV0siFNSQAHn14JaZbygfxOgmw3iPzJFA9F+E7BNBYDLCt4cHxxUMLAGohkbj5fUAWAuhPp+D93/daL+rQiZSoVr/UBPK8TpF0kPR6vKoCj/Y7JZACtBroS8YGXRLAHWZUCEvdn54kKtkcCAElnNEWIuD0Pap23EGGWqZ4orwUi2z7nRMo4YeJ+S7hHgG4mc6U2FOqBLhremA0K7ZkLUChFpJCUv0Zhko1MYg8XUw2pK4VqPq19YBwK/tdaYtQGq1jW4v0RgJTeFZ6MyoAmmnPQ47mraC08bzgYHDWEPogXOwZEyZzSFMAk2VSUOvd/RzMnXxpOlCh95plZqEPdsV9kyRz+l73ANgsyFp8zEYEC4PDhJF+poC/2BmvGMCirYxxBSZgFZAQJ0LjYF2KwmDWV8vUbpA4DLfahCkANThXHGbllkDdyOQWNHW2etg1xH+nngegnSgJX+4Jum/3NQZe714AGCBSz4K9jvB9oZ2bLpIsyttTRpbwSnh1dSl8yFgPwV+x+4lOyzPCmajwlYQrxnlkPDy84T9TnD3O7Z5qUvAfsdEjwe7rfRgY8J/LC3yNRJ3ItC4COLKvVKOPKPLTIEuTwSyXpLXXt8J6gP9KK+RrEd70DMTOdMLcPyutjU92gCICWUaOq12/nkNdSiAZg9kLaEz2CYBbiAhZ/Y0oc9POwPKtwll4rqvM4BnYP7kSvGc5/R5hbxcIXqHfCDdQufBB6DFZvlAUFRvleVnV0ucoSXswvOV7eF+cUchoDPFmTQocM+WPnEt0B8+QT68Q/7ifuyUhTd/UfH4v1asf7Tj8Jcz7n9dIQ8Bz0dFnRVljtCguH4pOP+qsDzuU4Qgoswcr3gVLN9TJXl/4FpNZyaSnw6Kf/D19/iz9WcQnaABWN+z/KEcBOVZMD0pPvzbHdtDJBp3oq3a7wTrB4X+8QWHOePD/RmXPSF/fMDb/7C3crL9GIAQkI/A+RcV9b5g+e2Ew29c3NLOUJu7y9eK/cuM8BRx/J31YX2rDAJPlajyY8Dhe9Ya7w9ki03PwPxZcf1KsLoatyW345U2c09AuaPys3eLmZ65ptd3xnCpQLiaLxPon+skrP1NBUvK2EtE3iPKJWF5CZifAIjgOk8WtNr3X0jDT0+kdRMIjGSY3JNhWRNYr3uomN+uCEGx7xFaBFUTxOpZq/kx83cU4UpnzqMn5+sEXL4mjdtVudMLcPhIu0wfTFBsD0wvFAvLJ8HLLys7vExMONdZKXYlwB6Uwrf/MSEZk57K/MD+xv09JguWj4rDx4JrjlRXPgLblwWYKtK3EwUWV+DwQ0VZfw8Q8+r1d9dCyKkULnYyvixQY/bMahYF1l9Kh1pMInw3H/UDIXCSINKQu+aMRDFWlVHZxGlDPWDTIL2vLOyQGOh0NVpQ9UrsQlMAjnN7Jim1URnc2YE6FcwyylYP0mhtFogTrZFmxNqzqVrwBXhBMINFHopSSY2qkYdBF0tw+XegzPwdAnuXEV0QeF9RjUAJ6PW7L2gCVKSZwuof0Z03c0RYc2jj+CKNKgf04LnPF5oAiqvOSbVMZqHz1xwac5gq7LscRXejFYTBT+jIRJndCdRWr8L32HhmZjnhLRZsbkKpgJXY1in0+jH01hayV6AUNLrziGYGsQVY23XZlsqeW+lwwdgLHBsLeLRaRlzbZ1vLDKMii/L7blol3SAagYG3tyiKdA69xsqzzz4nAFpdklPZgwZ+vvbHaIIk456rZAR4i5WfEnaTbAG7JZq4JhQSlL1dnab76rPcP2hrQJ1zMCa0khgtlcyF6rXgLZD3i/kH0J1mc/bLAtQiSB50euCgrz4H28ebeIxhPwMRxfHm7Rq+Z0ahHUevW/2pWqJDQ2N2hH2oqzYURKKNU3v20FApT570el6uDWmqQD+el1GI5gb5Dd1JBkDFZlXS8m8+oqxNDNx/UnmgA7CADi2h52PeWndsFrxZIEyxL2ewVOtl68rdCm+RpfNkis6eGDJ0L3h9u4mR+Dq35Iev9xDoiNTM4HasPy5LNIa8mPK+MlEU0BXRW2s6sWBVb1rSkapWMZ3NZu63dcY/NRUNXXPRn3YG2hqLTqn0Z+r7tdl3o8+3nrvt4nITxPJn6GdF7ntFPUEDNLpkMAGVsAHpTA0Kbw3hdW9iQlZSOM6ducSzzJ2Vdr6Nt+dUSx8aC2aZSLM5Fp9D2ks1SvSPbKRRvzWmfi1LxI1tx1R5JoVQWx2+Jw95n6Ul9gAwce2JPHdGbb21tVsrFXpjR3ZbImtMIminojYxoMR+zm5b+1mPGwYarHa72ToXRfI5AYiczEJmVfEAzgT2PttZ2pIrilAK4lVRDxwz159w1BdRUBf2lHbdAgCNRRfX2veiB+XVfIhDaOc52RyFcxaAcmQST4c5VtubY8spV7+t0dqKWDCl82igmGgpByBkaR0YXjNFoNLOnxF998RmS1baHhHrm04RIv6drm7XOE9xI1LrlOWWyBI0fwqw5ywdIauHhIBDa4WIwPXdyxyMESKxJVB4v/SF4krqv8ZAexcD6v0BskwIRamjkjtTgXudaza+eYDOkyXN+zjud2T2hUfW86/vAvYTEW3JVBM+fZuhYQIQbY6ZvIza7dV+T9SwzlZiYYFJegr4q+/eQZ5j8zWo2C6N4RQyO4XUWSA1QYVoKPeIoqwR1xzwzR5RSsByBzz9vdQSCE0nww1K7WuhHATrB/6uJekEkEtoiUAAwGfzyx+5l9MLUBPXnZd81MSArSyALjwH6oFzHvZ4i+pmaZTcXMVaJbF2GIDpdwjKHZFVmQvSXBCC4ofzEaqCNBWIKLYPkUGzuawUxZLmt0Hp/+QTGqXaGZcuzuTv3c5U4ldvzRWAemelYkVYnuYMn8GWwfwq+mZdc0QTcH1v9fDb4EPUHn/UaMkAAxikCLYPBdObDXmPwKcJYQ2okeuoxu5nNRr8TtadBmC/C9gfBNs7CsXFFzq382cZ0GBha6b/jNffUQshe5lAyU1Nlx0e/KZgcuL8/fw5I6ylO7h7xbTm5nhw0IdG2YnoaXxeIbmiPCwoBzOsRiEmJazXNDSxqEDaLcAMFOtESB+lo0ZKT3re4RL4EDr65X6mEbpmyFoQ98KWORaoIQD1MFkGvNNGG9qzseVQOU0NTYzPuR2YACBX1gfVOZG6HELrGSdZkfZqB0ikE2a0outXQD5QeQ1FoHOF3O2oe4BeJ0SjOdUI6ISWpZmeadTn50p01Q5fJgm8jkibMU4XQE3ohGg6FyhRMx2CWz9oKRISrwV1DigHSv9P321s82FiH1oD0GiHhtq0g5+HhXqW3mmrEZifKtKF2T4XEksvGVIq6pKQD4mHgCVEZKuIqCinhHIILdGArI2uFC87s6YtOBicopGqpsr2O6n9kgFqBWmpExMmYSt9jqv29iRVEa57Wzuc/x2y7aRBD8I/ACgylQI0RjouwYTOUkBZ2IKpxp7AmC40emxgH6BSyVpwZdYaiF5ZINbqE4c6Og7IRCesADf9Wo0mKLuhiCHceNxhy008rKExFrCFq9WoWMLH+14r0ILeasroxRrfUxiqrzkN2owyAGvL5OtcIRN7rLmz4zS7EW0zKBQuZKF7j/dIp2F5g6MfHnBI7rUloXjw7IhuRbjY81kiojm5e0G47IZwcyw111uwPgbb+7RjN4GiUWpRqADasv4AvGdyW6uqRK2q0fQmdFTd5znG4YHHaymp+VMCQui0/4VzT3GwV46eeR/pTOGw/T5BndL8QvsdrjukKMrdjDpHJkmqEpmThffsznEKKIdk6Dsd9P3e1rmJhDFYc9QchraFhqiFzMAn30+AJqQzRQYhgnpi/VD1uvQkUJBZQ5q0QK3shAFtRdgD4kq7EVciZL2OUeEiWLDxKncTn9P3/YhCW1LWa5N4bnWnxZ3zOpOGppMhN+4YyBCUWqLBWSCk6lfkgzR1UvZkRQvC8kCz94Stiwy1RJAHY5UoYbZgOa4V3u99fLkacBcWQ0vGkKEV+7MPJUttHSU021hmIpHpeYfsbEHC8qK+VjUxESPZvs/GPVTF/BRaqYYm0v9l3TEKCeLzE+Q+MMEy7L98pP05nMk82x8m5AN60hc9sL9BVvdbG1+mAA0Tmgqz8izy5J8o13axdlb7XWxIidOfnWq5fuA4LR+JKNWJdnF6AaanLi6oUTC9ZKTnHXUK2O+nG9q62rzUGFBOHNN07SUWFG+qmJ7ZujAcYkM+pXYBKh8LKcB0zkhPK/Z3B2zveOY2cbDgwYciXQX7yWijM1vR1Jl+i0YlUnPMUBWUpwlSBHXheyChqeV7+64WQBXbEG6GhEinKEWj8uRri88RNqMNG9U/rsDyQ6fii5KeHlcmIj3wD1ZnWhZB8e8ze+Ula/lugt5PZJBsFUViS164b7QfBfWBIpQUbatNoDC+7AjnDfU4IR8jNAnWL6hIFteCu19fUQ4R2zuuGbKUFOWQEL5613yOkDvqcPlSkFa2namRIlB1UvOtBfe/2XH817/B4a/u8Pb9CdevFvzwzxPZHsaCKjNw/UqZOL4rbNNXAtK14vi7iGu9w+EsbYzZAhOtH33cFNPHK1SOkEJ/fX9fsaXKUqOnRB/sKogKrF9WXH+hCFeWw0m2HrG+B83mhx0o74H1H14RpopyTkAOpP9+jIjXXra0fOQanp/ZcnJ7iLi+92QsA7uycG3uDwo9ZYSp4njaUKtgu94jrqQNT0980Hy0dXZgPfr2rqK8y5BzxOEbY0PcA3IoONxteHO64mWd8fGHe0hUfHj3guO04+m04vrzCft5gnycETbB/InrnffEfbAu4J74ckNIyn2yEciSAmATyDaZHeS+KB923L2/YNsi9ueZwXREq2AaWUAqjAtGttl+B6w/p404/ZaJNt93bDnG90+mbO112dsH4E9//i3+6tM75H9/QFwpiHu9I6AQdu7LMlsZxFUwnRX5AOz3AZeviPDXLeL4vyyYH63d6ZktVMsiKK/B1N/z+rsNcgHc9Ja1fzdasWU8m2x1phCD1+7C6xhff4UhW46a3qBc5rR6MXSvq+AAtAy51RhBgLoDoj17Omb+W+ZO/dmk1YGO5W2uatqcfHtWCohIQypbtj/cTkj7uTtHr14jytXGwD4n2tFcKsC6Gpo5QuakNNRgcI68wNv/3X4/OmwY3h9uvxsQAgkWVHhw2+p9GxKOhuI2MRKnclWgod7+3TIE/KMzY3PL4Pa2N6fOodGWAYGuAarRkN3RKektKqqjDtrnYAxgidj6JPwnNpFqQ3DbvdeO0rrj1ebXv28cC5W2vpuw1DRO2PCyQ7zXuuPmT6dyc/3V6O8Z6VzDY+mrtVmHn421xuMef/374eXiVGJoD+Kr9weFtwd5TcWWG9Udf053+O3eIzPMDdnyBval34876O3SvsZ9zgHo8IYbwR938g3pZu0xr1m1r3FvEdZRW7t+7XPNx9Z+3WZP0JDRBnWFzmCoU7C6uNAyxbDhEmudo1VNYGcINmwNNfGmohBUBsSVtuSmNdHvew06Cu29FtBJVdaMhV4DiNrrU1sd8kDjlr1g7Avs+6KdCTYOCmnP4EGBQlo/3jKJ2XL+ER1s0DiXQ4LzRy+v8TZkTtTWgp9HbndELXGDjtAZ+ibDeLSX23C3B/6cY6JV+jy4Tb0p8XAGjQW6rf7cgwAPctXGy4cr4EcBZ0M8gJ6pH2y+M3Oa3YAFuX5W67AHDIVrVPT2+9sxbjai9LHognfSvtv/NFp4mzc+v1Q7XDKYMLSz4fbLxocdWFf+86omSmY21cV4xqRlMpS1lQx4wAIA7GnMet/UEmi+Rvqa6M/d6p+NfjyivHxDXweMHGoPPmUcAzT03m1gsTi8RgOf1dFKNW0PswXlx/Pi99zWq/Q5F7XnNN+n+SyF41d9Lke7NtiFUNCTou3I6ghXX99DvWz7md4ebwKW+wBAtKQnBCi2PyZzD3eB8fbgwoFwVKvNAdDaoyhaSxmq+tv4bT0Q8wDX6fz+HIi4ObPJ9OgJIQ9yqQmA5oN6G69xvWsEu2Cm3seZiuyhM3NaSYkx12I3bjUKoqNwNv43Z2gA7ZgL7g1z39BvQw3uJ8oAAQAASURBVLVJv7W6/ClA396jGvNtHLu4oSUQSxFoVJSk0KoDQo1W2lcWtOSHM/3USij29wfsDwwMvC+yJyc8Ad58k9FeBVgCt/uKMiC5qIAWMvmws58yxaXMxolQjFV5ZlM8iWrczqzpZ+itP6BFcH5aoDlgMmQ1bGiCl+XANRx8zLKY2KfcPAMAxFhxSBlbjghJ21qvKgihYpoytugbp/sa3lYJSp0dDXze6jcd0MR0/Rk4GZb4z4Jti6jFF+CQgAC6Cnizy/wOT8o4Y2VkwIXsSTqj7rd5AeqCRtO+5Km1/uG8A8EDcnDuqBEkzV8IxURvi2DfInTzunxP9vNoLq/G9297/cFBruQMBC906E4/vNB+zcDajWQtitkMB5GzAiwRNTLDU619Sesvqmbvc0X67plfsyTozHqxMnc660gp8qbe+SDIR/R6VmG2lH2zIuJ96OhjVpQDBVbCWhAvzPw3uvTCerG4FkjO0JSoKiZoFM12uOVe56uT9+Xlz/1QlqIt86+LBWdih42iC16Z4MpopFmjhvanzrU5/XpJTZ2QThKAwIU9PVsBfRLgoNjrUNu6ei1SHyfAEEGjWbtSqG/06YXtAdpL1ZBdZkMpvML2Rs3JnyLKIaEcIlwRUSpprgD/7bXRjs5f3sd2bwBpiNu9n9a2wWYW57egopSOKpqDGqbAP3ttqM1+nyxwDNBlbs4RhqbqmjOA1ANi/3vPXHb2bKFWovIAmgq4BfSSwXrQXIFtb9cRgI6Y01T9M1Ns60RyJYpva90D/2JZfV/3pHtwUPwgqBPHBgDZECaGJLutzxgNidF2T1x44P70RI5q/8zM2mAPGsR/V9Fb5IzLwhFdlFcopAlixQqcElwBFECnwxiKyz8KnSowKabjjloDytNEKrpT+AZV5YZyKY0zjbl0h0vQEicQNHpTKPS1myKgDQkFR5jIcfrOqPpOBV1FuOZb9BscQ43CvT6iWFGaHsH+EFtQpwGouyImGnd1tdzFGC1rpCK79jHHuqGpB1fOWbB7aG3e9kwU93WSA4DME5qgmu0BAW01Dy/OY1kiW7QURThvLbkDVcw7hT3CXhBeKOteDzOwBMhekC47msJ0CMZOCHC6fhChWMaBe5zCNdKR/EYxM8GrMhy8EQh+cLSAmmNcDu5EWKBm9fP+s6ZWLQKtsQfMlXa1xY5DwNDGz+2479m9IFogQw0JQboyoZtPHeFxQbVytPZvB9rz/U1FfciQpEgz91wtQgdnUtS5IyeeaGwK11Yy5Gij14w7CybuivCZZ6S3SOkUX7TPTJdqaG9tKFcLhtyx8YSei8u5gx6sBtWCcNdnUFvv+8nrNW1OhUEIWUOxJ06MbRVW6nnclFZUEGl3ZtDSRQpFAdky5HwFSoGWCi29tUr5xQeEyhZqGlkGAgDLRxqA6YcL5OVq6K6heUPtfZt/u+98Iuto/pTJ4HFb7onLGJDvJ2ODDAKUcdiXsJq3I1qCuSYgP5hD/CTQC1tXTc9sQbi94Rm6fMxtj5YT28s5tbwNl9UFM0BVyKaYPhdDcQfNipX109HsZHraEK47dE4oh9SSQR7AOy06rhVlDtjeuEaENMeZJSRO0Vcrn6GNhaFIdTFl2bsdUEF5nBAvPGPyCeZHqCmJcz7ygbZBA5oiazr3tiUt+flp8GUC3zOduebj/mqfJKDcG9vLEnbTY0UohQFAJhq23ZO6na5dVVcjoFkgkXvUz5l98QQW7zVn62pRTHh153dPJpJXDuHVughNDCmu9OnyMpTF7USFse0YWwilF0AezGZWD/4Ey0euy8e/n/Dxn3xJP+6JIk/ec/vwgxrSzz+Pf5Lw+PcKMBfku4T9ar6HKPIdsL1jYHz/l0C6ANcvBOsDa1Wf/v6h3dP0LFQNTkA5VuhdITX4jQBZMH+TMD27/9eDUJ7hAjhSvLOOdvrdBMiE0w9EfB11r7PRtav7nrYWBiE8slPQ1g/nl6rG4THiw/9EtsPlA/fl4XvF6ZuM9V3Ep38SUKNi+egtCgVrTt0Oe9/xHDDFgg+HF7xZrljvXrCWhI/nI87rZO5ety1iiRlPzkgl6yC9kElw3SfuKWNw6lRpkgIghwJVIHya2E7xY4J+TkBQhES//fQ7tvpZ35Hq7edHTcD6gajx8W8Clo9sEdp8SXOHl89EVB9/lbC9q9RICYCKMgYJnKw//8uvgC1gOnDsj98qphdguxfkO1ufVvs7P/l5EwxYEKAuXIffs6VXtPJEigECGPog/22vvxPhqZ8MqQdka3yFjNbJQawvolY62WpOYHNEgZ5pVYWsmwUiach0STMu/vJrVUNvq6sGe0a0ugG2DJFtGNKNA9QzazeosR9GAvXeprBgETS6/IG27Lk4PdKo135v48uRgSqpZ0kBOlwW4Xt9XsvQ2wHY67dsYUUFCiA5cKMBRKAdcbbxH53/1jZFhYjwT6DhDTloc+uOi20QV7YWtEy3OzbdmAxww1CL1FuqoDlQWhQBFVUCqgd185B1UgCiDX3vNZfM6DkNGUBDFcWomZKNbpe7eMyNYmgM8LrJhri1tWBB+JhBfa1CnEsLWBEZLGgKPRB2uqo7P2Nmti0KC/Q82K31dt0IhjnqQVxD721Nwhx/okbaPyM+N/aMAVAXCoPtPcuu/qhFjVEzfb69vqMhmXXYOxA0SvY4Zq9Q4B+18fJry7A+HcU1IyqxIiYmL4okeJ1iOyQGlKXtPTt8BIYSio21BwZ+D34d3K5vwJHcganQqJl97AQ2x2W4oCcKAnoyy1Fgd3YbYmm1eVZ7J44q6+BMGWLA2ptqirMcdymVc1hMYTnbOrdJJKL4e15ub8eXIWHeIgQAxFv8KJq4WGMniCLuhYHfnofnFsimXT38FWuk7ZFaLUBHY+B4D+NmB7vP0uaWP3O7PqwDX6/mNEoBFCbEM6Kz9v0iYi0YpCGX6gjv73vpYEPsu6mqPZTvlIGbMyRZGpLbnlOhsyIcWMM1zaRx7ohQ1b7nQ3de8eq67fm1/35EumNTc+ZCZ70tGtMq7tpqrF0J/3UiuT2no6lFDXEmQtrQ2dfItyWWilHP64Ru04KgZo4lheICYDoO7Twbl6d9t9c39/Za9vOcaa9ybvYbAMockXKA7NqTU7DEsioD5D0zUWPBTwv0/av9jGxnswwJyW7zxdYOa1IDIir7D9s53p4daIFt+47h3PdEnBRDo5aIeu9BvbXUC4k1xOjrvtlBC7BYc1dtbrlPHW1tWgnDvpG9Qqy8JnoyyOx8XVLTEfA5dh2Fjv6i9/gd94fpHqhyMB2cjJHXLjK1ySabYZh4P++ATvEP3Q7cCARW7bWZStvqfWE70qnd/wjBAlCWhnggCQt4dVOoB61t7Qy+UzJ/0Rkxtt69l6kjlqUCWixws3FrdP4g7Qz0tQZre8lSIwEWdJZSBe19Ljc+iZdttJpVqz1mxw/g/LVQXfgjk/AtgWgMDgqhFqRLwfSlJfCiNkYNhrVJwbDQPqtiCu6JAkkhA9NjsNp5gSqDNgncHxLo87FrR/fX/UxXAK6G3YDMYgAKgPRs9OTK5MTehJ8MNa86JBp6Mt3XTGPD2doKu+D0Tcb0lJEPB9SFAe/8cUOdFz68oAFEcSW9ujEgQ79/AEihYpaC+7TiOS/4/uVEdeWoCMFYV4Mb0nw6BQPeleswndmfeJtZN9zsR6oIU21mrtt0aTolkomKpguD3LKwrhtqZ8+hQufaNSkqrE4XjZlJQU+189mEQJMCURGXgpgKtpcZ8hKtdRfBtrCxz26ZA8px8N0LWosw74Udr4r5aSxReOXL/S1H8evXHx7kxtCceUyp1SGFlxWoCj3OPOgz+95pBHTxQg9bZHthEBICgiM+4+8cPbo7coHOPSD0utFu3Djp9Y5F5L65nfIHDJt9c6SGNAYeHpk9a631BACEFOjoWzsLGv0VCEDcUwtIVKgy6IIF+Y61oi62NL6Yca6QbXCw3GCIbXxbrKxRNFT6wP/fHoxaEDFYOgBzBY6Fymp1YkP1AogpGvqzi4lNeV+zGgXbvVElD7eOhDpqrIaS+KNUomvrA2uo4sp7bsrINTR0tgVziyMdFfMlownRAHABEjSRqYB8F1rrJHf8WZMmN8a4NeI2BKOJeDmqOCdoYH/W6XHtzyahC1EpWJNbq6mGDzVcFtypqv2OTv+tOFQPTKHa0FrJFNHp/ex6myBBvE1uOOI20IVJ5wzdgbM1Mn7OM+cQNEGe5D1ijT7eKHMpNMSpBSf23eM6lFoZtItHm9qfwVvUBBhqyP3NcgVBnSZIKQhXS0xNse+TSIOJrUBjRD3NqClYewahOMdBWu1lC94DqZsycU2tl8moQXxuTUBZLHvqoj4tGYWmBeDOqauHesss1v36uAMutlJ1+JlT8YcyhHChWmkL+gGuNdE2vmqiZVKBaPWe9Wj191G6psBCZygfuOd25SEVNtYaMotZm+hacAVVQ1GZVLHAytS/fdxZby+IqtB1s/kT3PQPjbHPZQj9WhVA0Obcht1OJ+1rxwNVJiCDKXQvXL9TbHu9q5OLJVmG7/e95K06Nu4BBrbGxpnHNd+DxGjJStYV5i72Z/uoOd0yHJIB0BD7z5S2ux6t7m0FZCtGnRzE4mDP5M6S9XcdKcqaYkNZHNFt51ahcxEDBVjcKSoLlTV1rkipWGm+0Nmugia60ux4d9J8TCjy18WhPJBuyrC43QdjEMoEl7a6+BbovEJyX6sINxbXkHmQflmo8Hr5RHu+3/m5hqZtoGLuxIre7scTEMWSD37t2tddtbZTpCULot+rJ1OCQJb5JhmQnreuIO9sjBSQDZUMl7mpxE+fyegaS3dgw6giwEYVYNbkCkqcurK6MRxob8n6yodwe40gnW6ruBEOCxmYPvNs0ghsb+hBS516MsPP3OPEcoc5DMEXA3fvYR5fcj87BNSPMCaJpoCKChxTX8MC7B8OwIcDxeO22u4boB9DlgTnlrWig/iZ0J5vDzYVO6DZgsII7EdADxWYKkJgImNfE9QEojQq0jng8B0/XxaumWzOe9wUyydtiHFDTk/UZdjvubBazbmt4UYLt2AYIsgHW08DpThuZDPsdwneBjJeC6QEBG89NAbzATxfF97Pdk877r7azZ5ta5nOvUZBOU7QKTStGN87ncGi7TwMxZIRY6LudQLZ8oU1AYdPijd/lVGWgPNX1DgoRzhmQADENFY0AJevAp7ngNM3EadvMhHtPzvA6axloQ+WXvi3WveC7YFnKxmUaOh9nYH1iwKoIF4MwfsUEL5b7Gy1OT4qLl8D8UIF4FBgitI8x8qB9cHnn3EDTM9oY1IOPmbB9jnH/vxLKilfv0yYP0fe3wkdNfW1Ufj+w4crrnHB538wY3pJKAusjY5g+zDj+jYim2ja+ecB63uuy3KwZNaRrZIQuTg+P57wry6/xIc3L/ivvvxrpFCwbT/D/jJj34P5TQp9u6MeIsoLO7mUhQFivgcuP+dzUthrCG4FTC5WQXlJQBEcPgZMzxyPclBIsTZcO/eU61t4yaPbwuX7CJUIVGB7y3VXDgys3/wF65k//4OE6z+LiCvw9n+OKAfg8jPlvPjCywLZBToryhcb8h6wPs4IhYmBdFZsbwXnP6bPmI8R85O0ParB5lwE6/twkzwusz3X+spv+D2vPzzINSelKeBOkU7BlbQ5XRJUIoI7Yh4EwAISETpUG38nHjD7Aer1NFNCPc0tCGiHTVW2DxgPX3uPO8lidLOx2NrbiySj1kp2Ck9tYlfu4EuuaFSpCEgpDIZiZBAXewAiOwVVyiEhL5HZ0muvSwPs8IjhNpLEcIAKoCAi5K0y6iSttUBdKNzgymrNmRAgpIr5kFGKYL9GKupmQcjSjOuY5SS1UymPf5QeDNAnb4drNcTA/xarQ62JG5/NokFjlngzIRrlCWiINFtECebLFfHpinqYUe4mNHqXj48Q2cqLNCTea3M0oNVISgESmBSofnjuAmi9Mf7e5zNcdmalU0Q9Tv3eErjmduvZWQp6d3ibH0eZtHbnqwU7oa/tIHTKdkMRJm0Iyg0VWgQIoR2ynPshUL5Rdx7e42vEDZyNmdecj8huoyA2pBFw1doAWJLFHZfb9eiZ4Zsg3O6fSCWAOmS6q68JBjS+T7hvTODKny1nUr1DQF4i6++StKwre1kPTok9F4JCYmUdjgkBtSA4sp657mjMDncEaxTIYO1qpLEcEwdlIY2GyuT98y4E48Z3FJ0B6CDLZYekoRduNJvUqFba65FLhlgg1bP3dHJcWKkc0ZVWBU0pMu5A3IXRrzvnHgSoWpA9rCF/PjGb4//ed9LU49wjEZgNqrY+kw2Az7cO6FOuN+q5AgZHRGeGxJWjF7EngagUbmM1rq3Sr6emleAZY/aTVQtq0A53oh7OiLA64KwI1lbMA8vbGuBxH0kLytWDvWDCQVFakq4FyX6OAT2xZddU/44K0l+bHSgU2ArSKeeNCWDOvKCh1nVhIiclZvcZ5AJqf3ug64mYppSuaKwNquYSoSsLbasnT5qNqGg055uXuK31gDpAwtB1wFG+H9Ev3Pu+DXT9VSfBfgwmWGI11nNHLsXN64iCwB1QJhh7/bw2uyBen54rzWF236DSP4iBYmoDkisvV8hpor+iXmKFpuadlgjdJ0itFCyLTFLcCBAKLAHoaO3QHtGE1Vo7O/9MgFGU+zXaOpZhTm0eUIHpyp/XmbRdySzLaAwmtQBpceV9jnW2NlrsuFaZHLtYz2ZLNvuebPoNU+hnob12o9dPLwXTowvrefKMz8A+0tJpv4DpnTCBXo7aEDqRHugiKGQpkMg6RVWBbgHIgTRTC6gOH9lS7vKldBVaBeQTcHyurbxKIyn4JQH5SLVbBjLSqKnSkghy85x16urWnmAL1s6PAXzA9FSsJaSiFkvKDij1KCZXJ1PETX2eQ+WfUeDNfVQNgmrzErY67CNTVB6SWQQRzE9zv6Qt7mH/OfMnUajs9GefsH9xh0//8MQWNIsFS9qT4dH8wZc/pphSyKElWE+/QWfWzXZW7vyOvLP0Kh/Rfk87rXYPCjmy0LOWGXGj0NHyg1FQV3b3+PRPBfu7AikR4TPPvekF0MC2RB70b29NOOxTPyMaazOasOqTsh3XFwXpzYbzccH2JjR/JdiahAMmBdBJ8eHhBR9Fcfl6wv7CADFs9Lm3h4j9TlAOBTortvdoNcgQ2m887LbOA1AE9XnCXmZ8jhVvfn5BhaDkCLlGhHNAXIH9bcX8/oo9sZQPauJrE1DuKvCwQ9eI6bvEpIIjz0FbkCsrRdrmJ2B6UqyRwXzIQLygfa4sAxKvXB+SgemR78kuEjcp6kKxqMN3G9LTim//N+9w/dMVh3+/4MO/ydjvWNIhCuxLQE1MNkoR1Fjx4f0zcolY72ekF/bkjlegfgDufvkEALie36JOXQzOgSqNiuvbWxZEWRTlvqJeeznh3/b6w4PcnZGTqNDx2Yz+khiVaPQMPqMlHRU7LcMvO3qwcIMMiDkHnvXnAdqEPIoiqqJWEL0x590zXvE63GfodCtSPmC0Q0NmdLgH8L4a0uCBiy0qnSL0MLMVhd2zZ454CPJwS+exxYqLUWnL7pItPQRGgnZwNKEu9QBFeu1VAGtiI8wpQ6Nv1zXiujMT43QCGG20iQJUWB2iokwwGXppDhCfiU6XghugNiMOHrwvvIdGjxuoGX7wumogHRM6dzwAb2nMXvNcDoZquY8ySTs0gNtDwanWEoC6A8FQ1UaXtnGpMzOwdbJr3y/Aabbr0fhKVqrRvUY0x1cxbpXVprYg1WvEnCZqwUxrX+GHaQhQDKipo1cjIiu21hrtT/o+CBhUWm3tb0TiedBacscdpTHAHegl8INdYR7lsOZb4qg/tt87Uq+758+7F3pDh/MAy5/NklZMcGlr26JzAubUgyF31nwsK1GbRlf2NabCANdrHpTqi6hWj7v2miIfI3caHS0ZEyZOJdMAE02gIc1Hfi5epdmLFoQZPS1s7vgPzrMPpx2iDeEcKbEpNnp0KIoSuwhepyTa9FsA1GyU9gBkrNm6eZkw1Y8YAcqDkKybyRz0euv850z7XSvElb4deQV6Mq8YLU6E5Qe+VhPPgTg49lDhGI3MB6A7cWYL6pyAg6DOgX0mLaEQvIerJ+Y2DDTDm6+BK9yXu6kHnIbOErWEIX7axoR7srZELaI0lAQAqgVC7Xtsz5OqaUrXucJb0kiA2XnWNtbZymtGcUR0G8Yzif8OBdBdUNeANU4MbJ2tsHOdt4SimfaRtu1BR5kFNVIdNx/M+b+TVpPYXkeenens5yH/Hazm0YOW1ubPbKYryEse1rUh/rIXSAhUxrX1Cjt7WZ4ifb+7HS99Lmu0msbIRGmdAmTu+gQAujp8CqgiN2Pg9jSEcJvQGOZQagW2nUm8KZFhVJmQdkowbXdoe2kUEGt1rUbjdqVuKdqQ5MaakQlIwVokKkL09YgW3NakTOoYVZsMkj6nTHSZTVq9HMjG7Oa5OOaxgL6YjZknQDwJ5/113T7587Ue0PYziCBdKvRKVLPT8nuACzAAmFF/9HMijrSjo+BZeUPnWSdi/1oE2Q/6yM0t54T0QhR2v7M5dUGcoX58fQgtuG3lDZEquflttTXJRH/YrRY4iCm7Wu0yOJaNHtloknZLVy7YMOiGhM1q7lO8fWb0c2BkM/AB+p6vlpwnoyggoRId9nIvLzsB2T8A912rEXc2z1bgzXF1StChLVxrE2nBe35/Ql0iDj8o8pkoe00c1/VNIO32swnNZSDs/P361tp+ZhhtG4aeSzszW1nEBJQIlr/B7MlGu6Ybg6H5U8D0wvev70053ajhKor0FHn2Niaa2aJNEIcEURPQE2txlBy46TYlborD3yTkTxGHF0G8GIvzTGbY9sBnaGJkq+DpumDfEsRQ+DrxC+NKX4r1oUxspmci0+WkyEcFikDPCUiK4/sLDvOOz59P0McZeY/48/MXyBowLzuuD2RchkyEsxb2kN++KJBNMH8KWJ4E+xqw5xlpFSzfc7zynfa2W24LzC/a3nY2mLd8qhMskScdLT3LrV89KJFLAQI8cQUyUy3Q1D2gHBXPfxRNN8X8/MQyMn2zAQ8CbAEf/+I9ZBMcGgVdEEQRV+D8528AAZYXzvVYG87+112t21/Ti0A/RZR1qFH9W15/cJCr6267IfDQcGdoYp2cTsGQowgxJ6O1EZkCdBITlrKNWbU59AgB5W5GPprAyVrQKJdCx0l2hUi17FLEfp9MSAlYnqx+yTZjMaeWPZm4UN35H0WjEIzyEzsC4BQfZtsScH/szh3nrdOAKlusuHBVq1mxlxiVyYN8WLugls31Q1rRs3eK1tNOFEguInLloVJjQJkrZI+IZxqkerSicHQHUbylkNHWysrrlgUsBlcuqpHS433K6qzId5VGqwTLtNjvvW+uduMrWRvSXu35Q+ahg2K/y6SG10NCPkb2UjOD5qJKLZiv/dDQRBpF2Kim1/wsRzhKpx0CQF0i1ZkXtt2J14rpkTvHezOToskgUw05aOs8ZyBZYFAVuu1ECOLcA19VIj8mqKOHuTn/Lbj0dWCOcgsih4DZUbM6W6IlOVMitCSAZ3qT9a8ssyCDDqgbKU/kUMFO+/eBB6j4XAA9WAFuUUFlgNvozcDtcwz/9vc0tXQRBsdVO3VQZqK2h4RyNArYPgT/NoehKKpKb6tidbkADSz/x+baHJh4Zs/DsNIpkWJMDVtLTeRnkQEZBluEDN+hAhTLcE5BSEVU7e24zGaFrK1XMANwbRn1GzpnFNaI5wLEQCXLgUpY5qFdktfNFWpxNQRgH4L15Pcvbd21umpzwNVYAq2+GmilHBoDZJnpGI0CVAD05UKnvCpwWKBLup1rm2/JtSd6lmQ2kwnNdLlCHl+4bo4LE5trMbXq17BhdwjzMSGfKDBXDEVMFzrW4SAo1ZHdwZYOVFtHxIqxP6DA9FwQtsrkZxKErSKt+eaZW/sva9/m8xKqObFLaDV5HsgzYCD7IF4LkgfqMdoZt0P2gnqYUE1QrbYaMen3OkmbXwAoqz9bJApQ0WqmXGUzvTAodbv8OtAnEm30+0laf8U6AzVqC5pouzme0zPVVt1BTBeKfUhl3WbYKloNu1OZFYgohox5AEhKq0ZBmNhCqxy9x3F/jlCA6kljE2hpfS4TUGD7tQhKCZCSwB7bRs83kTu9nzln0sfVdTKm6W9xb/YMKVa2cjpAreVcemaJSmOdWQDr/gWA1m/ZWUF6mFDfHaAibBNUaqPmj8rS0WjDjU3jiY8IFKWITVwFXmMs3hXC6PnTowkBFV8L/WxvCF/WhiDHK9sx5rupJcE1kl3mAbBOvS93nUj1DpnBVTFhwflxp/CUP5MhnWOSLV4rpifus3wX2xyosNQivXSUtywMCOpDNifHEjk790c4Zh6Zv5tw/NZRO66P6VmbIE/IROmuhu7uD9opyApsHwqWLy6oVZDXhLxGpOcJ6YwWFMdNm211hs78zDZKPm+idp6MyYSsiFtGnSNtlrNUfEg8cPD/t583MSUFJIJByZ2iZAEQmDjNMF+3k/+9z/j+9oD9C4qNHT5WxGuh+GAu0BSh8wQdkpZxV+BiAVkALl8fELLi4a9pcMpCG3b+WcD5a8H0Ijh8hpXuoZ2Zl5+xdGP5NHTPUGB9S3oy75HPVw7amIW+PsUSlelsvvlH2pfzzwLOv2Syox543/O3EYuJSFE7xYJrUFDMk2SdwcV73N6QEj1/GpJ2lbbs3f/iiQz+vXwqOP7mGfnNAd/+l0fsd7R705lr9fxyQN0DYup0X7cm6VwR72ibJQsO3wvmT4rzzwX5zvyOzxH5qPjTf/Id/os3v8H/Ff8cH58m5C3i33/6EjFUvL274P644tv9LepqoFMJiKng7S9fUGvA+u0HPPxlxfYgWN8FxCtw/1va4vMvgOm0oewRdWOmwSnf159lICrS54Tp0WzM0ajUC4P75fuI+bOdA1b+PuoBhAzA2ivFK7A9BOTTzCTgGpDvFJ//8aDlEhUyV8zLjq8eXvCrhx/w3//6Vzj9tzPmZ8Xlq97rV3eKX33xP9Bm7/f87sNHxem3Ky5fz7j8LDa71/aocg3MTwV5GyLfv+X1hyO5v+flgjaiaMGCxgCUSoVZgMECYE6a74ghcGzUSNiCFjugzVnQwbB4prgATYpe7FCFZd7MSW09LsfDYqCy3QhswBxWUQo6ua8/ZHdvEJXXFC6RrhhdBsocABejecVaRqttcwq4o7zRMi0D2tlRLr35vEeDLWveMp9qj2nBzuhzar8mgCb4UmY1lMuc6dePOBp0v05FPxQaWvJqjOIrJ9zmugWqdt9tLmT4eWXA7k5ZsD6ojsyP4z/y+Rt9HWgoYqtLG9fe/y+v1+iUyi2CMN5L6KIJTlfuSH7/TBuXljX3Cecw1CR9P/hzmb/vB1DIg/Ksjb+LgTUWQRiCBu3v+Ukq4oDQ3tznzb1yDLwljngPXR+P+CroauPQA7rRYb1BqWxddY8BYAPy3trB10QTM2hriVQ43rM7af3vOtHZvmnbM1AnuQ8dgXGhG/xoTNo6f62s7GPowi5+T5DGfHBaud4Ecf1eGpJm72eAYIetZ++D4Ef003axn7BTvl7bezzh4uvrdm386Nqv1i3Hdyg7KaSQauyovaDipuTEM/Ne++/XFG1702vGKoAgwxioz7PezrUxZyikVCneLKEnHyraOux0X7ML9DfJSnBK2E0gKT3bPdTg3uwZ39vw88PPwsGGx2F9NRs3iIJVGO2LN+XohLf7ccev1ec602BcszeJSu0lDQIgsP6XzB46M6qAFr/GLdrYnteCFSgY+Le1xPt0m9BaqOXA6fRg1s/z138D7azyNiw2JA2hbKVOMZoIVQ+meA52ZoxGIZr7Uy9PwIm0PuS8V0PEhrMBt8u7B/ue1JtTt1f+HqtzHddjnV6d9dJZJP05LQEgaBToG8aCdP9gLOvy1n1+z/JqT/Yb62eA1+vrEGyP5RsMstzHsQB3Cj2JaffAZzJfbQwE/bvc7oYuNKb94zyDskA2Q7PAKHDapNvgV2eBd8/wvsL+h4xBm6SpYpoKahWq8Ne+53xP6+vl0c4ftLWkqkjemke6v1fn2EUeh7Xq9cGtx7Ct6Tb35kO50x4KGvMIdusUxAST0T5XM3uHe//3hsBPkWwEL0epfaDGU7xOXW04HKQBEk3TxO/dSiqa4FnkJZ3dEYqNt7AEbnpW07uQFkSNbUTFEnXORHQ/vBqbKa5gSYZ9b7oI0ovfG6+x3XPRk6GC3u7JH7DavAV+XzSaeTlwPDzZ7WuozoL8sCCf4g1Dssz8fHmaWBawoQuDTb7GHGgghZzlNfasjtWZGNPLPuN36xu8XBbEl4gSgJfrjBhrP1ZsvXiiutaAvUSWqiTWl7voqibg+s6YZ4eKKSpK7nOus4l4+rp2P8YZDsHPCmm+kjr4Fbr6uPtF7kuxFla6W7P1cgkA5hsBuges1xmfU8F30z1qFawfBOXQkXYJNl4ikBdt9Okys490vktM/vojJEGFdl+oWIvF14b597z+4CBXZmbx0WiNoTkYKkIKc65Eb+ZIg+cU1dpvsyGa3oJh3ZmNPO8I3hB+HhBRMXqrbQxf7OnMVcY2DX5xTtb0wjclaxcUr52eVC1wLEuEqAluWFAq607q+1ZobBa2wNEkyAfL3G+9hZCoGurGe17fMZNKlUp3FNTokIZqj0ivwsQPYsuwVq8xeZBm9DUxe+lN1aECTYpyVzjOBewbtorVl3SaWzi7A9iNcNy4CD3bUg6Kmsh/D/c7kYXn1JyrFnR6QGG0EtbF1YYcQcEWEECj+sEFxNwhUkW8VIS9I9pxrZjEW4j0LJOjXGFjhunwfUXcifq4PHxzRPwwVsBVKXHhfOdTRwBESZFpDrvNUZ8UrlsNgYyExdLrzkAw5gJCgPNpxHshBjtVRQCjELZXQ3RDN0wNgTPKqTtuSlRFkyCfpt7nWcyZKNKCAakmu7729h8hV8TnrTn1FDgLULG1vnahlteI8w2F2u8XYG1lE4sbxjwA1VWPgT4PFgCLKtLLTsGpJTaWhDrCYXU1vtbJROAB3f8NSBZMTwxy04VMB6r49RpKwA7Zqm28uL7RlB9rAvfNqUD3gPAUETKDrk4bFGhUhN0OvSjUAxhrAjdDCT34mRIDxoHOLpsrDo+lFXTOeG1SmEdFTMnanjlaiwSNPKjDXhFfGPVpGBaXtRJSCW1sHXHuTAQbaH/EFCHzkfO0sHm8+D2PdZgWJKjX34qzXgr39t2R37/uUI0oxwnlGImCbbWvFQHvL4oh2p0VQdo4nScpXM8uztVR+r7X41YRVm3zK1URrmTUaKKooYyts4LvdwVV/rvHW6b+/y2YrhVNKTYQFQ6tTRADmnjNgNIBhokwxmtu9PSaBNubicIfaXCanC3jjrqgBbjsIwgsH83psr61qECq3akThWkYoP9p11XsDxW6VHiLB39pZX2Y9Zpi0OutyQRsZyJAuhSEK9lJvmJa+YQ7O1Ga/QtbAbbCczMF7GVqzhqdV55L/p0A13e6aHOoqQZbEJ9XUpPnBNcU6ElPJovqRBvagtw5AYeFCaf8irEwT6h3J+gSUQ8T8l3iPrzY/JkgnNN3b16WoNnuUpv3sFv5URAo2C5ovw/Nz9AA7Hdc53FjqUNZqIPh/okUZWtxo4xzIXZqqKOPYQNktUSPDUJc6SuV08T5CqDgIYfXqKbGnMoV4bxBp4j8MLF1mQmCSaWQEOdCgUCaot6Tqlgn6fZI0eiqooF7YfRjPBGjto4W1siq+2VrgB4Lpqlgv0TMP0QLEgzBeTafQqT5GH6t9YMLRdm1Z6XYz6SkO0fFfL/hbtlQakAIijUklMNMtoQHmaWFGmjtfRbOqbfqC9YOMuRKRlgS6CE2IcOGAtv9lVPA+s7OZbPZnpgqh14K4wHE/KiYXmpLYGpgbXfYK6YfNoR1x/aze6zvJ4SsOHykyGE5hNYWLU7RhMFudUTK3BMY+4Pg+oWVLtwzWfXufwbufpdZAnHhGK9v3RemLao2xmETTGeO1eVDRDkCd7+puPvthnyKWN9yTK5fdNvhezpufP6wc7/mI0XBwgY8/Dnvc33Peb//a8XhY2m1ztd3AY9/yiTd9ERE2f3ZkJXigFNPGqQLUe7r24CXX9I2zZ+lt/xT4Pou4dM/Yg/s6YWljet7Qf5Am/Tm36Ru0wTYH4DtpJAsiBtji8P30sTzLgtteHoRClJ9uUNixZ//9gv8x/olpr9a8ObXwPo+4ax3TZCK61eh9+Yf54CSA54uifb/XcXnI+89XgX7G8XTv9gRl4LTccOcMvY9kgWRFPEDmSj5cWa9ryVGdQHymwKpgsPfRMQL2/CEjSVd0wsTz9f3Jmz7lnToeKGPrULKus/n/Cm0c7HOiv0NoFERPyZInvC4LPh0fAM5ZXz5f/gbKIDf/McvMX2K7YybnuzaETj/XFEeCuqcsN9PzffRAKzv0M5PJmaA9SWirv954esfjuQ6CmX/P2ZWAXRUyNJCFDaxtxen1fXPep/JZipVqeQaBfUVOuZF/6Oy8ohY3Sgh+kGibuxxc+iNAhmtDYjCgh27XmWrDkW8pZ+1LJ62z3tgUlPowQiCUXkBVKv7Mgr3TfawBQvd8DZKkaMelm2ps6IutW0WwK4BRdhDoyhL7tn3pkg8ZsKG/3caW03KjEuqSFNBK78a3tvrKMeJ8Wfs4+JZ6RtH4xVaJFWBDK5K4QHEfoKAqPzofgVoYjwNxR1p5wDGVjgAmviPhNjH1tHV/xSKO9TRtmcZW+aMCstAz8IG3DAFbl6vv9P30IDuOLLEZt5MR7aM9PhR2wfB61d2R7ZtklwEp6Ilo25ebW76fr65vwr6H+OejdLn0TO/jmpYLb6ONsK/x5NcBku07Lr9ef1vfq7fXQ96h0y4I7h5QIJ8X3kWcNznAWituFwCfy5cIjF2REv6frvJ9Pt1ZEBOSn1lVwbFWdsXaq192mhXX7vSmAyedW7BvK3hZr8G1EaHxMGPkFefx9eME6+nTa/m2FGasZ5RtT/X6zVj66C9z/aRptDFOIBmLyUGhHh7b61Uw2u70O1Eq6/MPRNfDenzsghH2R0BbKiP7/tagSIQGBrz+5Du4dXaDfkycvslPQnHceQYuKKxB83NDmhl4C9GeQY/6wkcX0s/vc5sAQMWSPVyFfi697pZZ6+0a0n7N9x+RACTUrk/mEPtCMCAKOvrexrQK647S0KEwOtYgvgGPfRxt6OJNaypr+8CBKHTKBE3jIWml+HMoxF9b/dG2z3u8zZUVt5yo3b/et1GlmDUOZnYlI+D16tJK1f60doQ1lIy6DZl2So3/b/V1gQA1uDaGNYIPm8a9oTZ5sY8c+TW7Z2NYSuxQP+do7puG9qcD2jr6wQ6fC3b83odXkssmkPZfRhDkmzsRYBYiRg5Eh2cSebLrpUR9O+mv2K2VrTZfrHPOqLma6QxFXxMGgMKXaCtSlsXiOB6nCokKtEy0fYnBEWO2lDSHzGF0K/vvkH1Uqlh7mG2qiZpLAPhFu/vs8/19W6MifHgsPXdat4HhkhDc832OtjR6uBtfXlyMGyBx/N+u9abLQGa0FtZFPmhmpJwb2cXNw9uzS9Kfh+AM1qiq2sHBnqhAOmlU59FKZLo360BVuc6rol+L7RpABP4Yt+h1sqr19sXq9+uF6Vqr3SbEQrvj/6AWi2xJWFmfiFF9KS1xioH1q2GDZieuNYc2IlDMO+MgZFJ6SV0rFnt/+Ya5t4JE9defp4ge7CadFsnpq3Q9vBcIXOlLbbPIwv3R1KUxPgpXrkeT28vuDtsnfGl9mxguzkAyJhbgonzoLZ/TXD34mca3xP3rm3U/CYrbXEmhmuYOJDStov3IVYm6eMqKBWQwqT133/zA4JU/Gb+AEhk4mSpqNcIb+lU5wosBWVIHvka8jZUzS+qlhS+zef83tcfHuRGIhLNsbda0xYQ2EGHXHv2d4msNR2ddHfirCZGD+kmqK1TbKhpq4kpClirGKdalCMHbj8GW9ju/Hh91/CVE9vHhKxIL7lR28QcJaqRCvQ4kVVl/W7rbDUnoR9sGoAqwRRJiSR7U/Rqm2Q/8nnmF8X8SK/Ea8DKTQ0wDMI3QYWlKwqmq0loHymJXt9kTMe9ee+1RJRLBPaA6ZEF8YfvFctn623mtIcW/KHfv2X+x15kCkV4TCgfp+4vOTXOjbQfSM35sIPTkAgVodqo1Qq5wyLqxeruUHKjyEbaU80Kl+rPT9IoIcDg+Fd0QSFTKmYzcMuMVjC4sA3h1HZ1sZ/ozog5rlfWaUmKkAHhQghGwbQ/r+m8LuQRElHdUjvK68GBBw91+N00HEqVY6GLt9sBIKwFaz2CJdHAZyCoGvXLxZaMSdCC3GpiIejBro/zXm4TSUBHlVuduLV8KYbkiaAeEjSyZr1OwVBXzk02xGc6V8RrBWZATEHFnVHOSX/mmgLKEuGKoDV2hKvM0iT0na1AyrxCtoBkCqN+EIuaquyu3OvgHoI5K62n9UrnqCyDcx9pQLJlUDFZL8uzoVK5o8TRmCAMNivEA0D/U3vLMIWNQXb0UIjuOvpdFbJXJEtO+KGqQZuj4/SshvasFfFSOiPERUd+gpqpU2jtcFxR9Ucte8ZX1aH1VUFcb+te6ulAscBSWq9NOC3V2hk1sZ4pQtOR+9LuG0KbJ/bcrImOLYhKa4WrZ/IebM2avQg7MBtbI1jA52UVYeO48Bnt+WNAuVsQ9tJtz5hcE4FORN80BtbCRUGOlgQDeM9TBI5kflAhHqgLF14rP1AQ2YMHKtodvijIR7aFSFfqQeyngP1ktv5gaNSpQmcPGKy9EOU/usPqtq90Z8OpaK2/cjXhRRXofbf32AU6ASHVG/G2uAnSWVo7jVB4nyHrj5InGgIFIaPRWAWABOb59nKLJkXajGrq0nGthgjxPtc3kTXxlmyMm7bvTZdK5z8Kyv3SLul1wm7LazQUfaUCry6GZFYF1s2iskDb7Ov4zQF6mhqlOF1yPw9VMT1ZdwhvcRfCkFRkYBXXwnZHlqjx/RMy7d8U+nkO8aQMz0dH8iFgS+iDJxHsXBwTava9RK7YQmx6YeCTjzwn8iG2RNf01GvOnWXA/VRJ9bufUb48tMCp2UBDm/PRe3TBrk3bvHyuOH5LVkI+0fZ7R4YDGCw0DRO7dpn6c/pLA6B3BWGxFlklQJaK688zwjXg+E3oAlUzz7bWJmgGajDF3Wc79zaKqu3v0JLBqoJtS3gKB+QcsL7MQA6IYCCTnqnsK1kbOu0AREsiKtutSeX4hhha4gfOnihKgdGirD33xEb2fYGGivr3TC92nly6ACr38BjI8szKbxfIic7f9ETWYTkyeLh+YD/f+6xsoxNsr+UxAuGZEdDnmeAB1avLDFy+Sgi74v7XBdf3AZ/+uSnqrqaQO/HsnT9GHP7mDCmK67s3QOV4rF8ckE8B17cMcu9+S/Xpy4eI7Y1gelEcPlaUWXD+OiAfjEU1k83gomIecF2+DFjfTv0ZFHj3b8xHs+RgvNJO+HxpFOA31HKYn3oiY360+TAVeU+eEc2mLWJQpaYIrdgfzGdHD14BtB64+Y5tNq8fmGxILyasZfcWCrCfExMuRaCi2P75BYf/7RnICeE6oawR8fuJlOcUUFMH9ujD+ffTFqSzYPmBP1+vM0JQ7HskFT9LS9IDQK2CcAkNVd6+KJAsSJ8i4kY16+lFcf46YP2CCPH6SKbGbmrgqIbWZveZ+/M1naNFyUpwZLear2aKzOVUgS3gv/u3fwrsgtOfT5g/EzHf3oPCtVA4RT1jwuE7wf1vKq7vBC+/HJIJO/drugDLp4q73+wo26gs/Ptff3iQG+gcdPSKBSXqTrln00uhwxAseBw5+2r/2StkZV/NaoISLl5ESpfQR7mCqFTWXhKnaDUaLYAxZbHodaiW+a+OHCRzfFewbms3ukdRwIV2GjWqIw7u2DuqApgzakGJCg+L6zs6Qx58FKP2hAzM6hmmYNRjo8bsgKuBVru/UWAkbO6wc0NOxx13p7XVIV/WGWUL7N13MYn2R8XyuSCfAtY0GBT/oz4vaJmaVidlCzA9G83lTltwKao3tc2e5X2NdEEAhTDTubPHbP/d+EZ+n1Odg98DAtJVu8HRjmKoiawo0GhzRIRpXNr68iyiG68gLWtdvDdqEGguveXESP0EGNxGC3aH9c8LMuOKCQwM2/MMwQ8McQMDCK4pvQlO6ODf1m5p6vQ8zxCHrNbzjON6U5PoiR1rp4KhNrFlw629RrtHdwRFwHo3C67niLAVqv8FOvuaBPkYmYQJtvaT9QQMMFEybehcyAqstSMU/mwpmLCL7cWWPbfDLLrRBMfJDLlM5qBrv54Gf3ZYZtwSKENPVc9ZhB1QGeoDqaBjQYB7lGiIA4xOKRZA+/Ul166SPsz3TauoKmQnjEmR1FvsMEANkFrooJ5v2SnlYK05tCd1wl4ZTAwBZl+Pt/9UTyIEaQ7Ya0bFLQSh0FwArQzWs1GrTWlZp4h6SAhXNNpve9Zc+JmZSUHWi1lJgipCqcZsCbS1vt7NuXPmgUagWILT7Qy/x50U7mVHFahsbyrYfk++zFMA5kD03Pvbxtt97clMqInutCJJNMTQ1zLQHaDOQBnOgSD9PouJ6GVhssECCk88lUkamlVmOlk6K3ud38yhsuXKcNZ1iiT3rp8tfq/OVqJNt71gfXahdm6K8lkrIKZI3vaU7yN/rtFMBxvXgQLvc4zca3Gdxs5EFt8vBQi1WpBKexiyJ7fM6fc9tvFM1sjEX0uMKO2nAFS4dqpiUbLxPbHstPx54hoeqC9lSQhWUxm2imD34+inrCYqdZxRohmR4AiS8lzfSH3XKSLbWeHMgbAVJD8HDVUNmehna4vnvxdQFBOGepVXiJ4fTxktCZAuBXXi3ob5DwUB6VwaPd5bhnkCUbIhf4eA9R17Q8cdLSil44pOw7WtlE9MrMertERCeRtbL9QyC+Znm381u+zzYDX2r/2BeChYDhsd9RIRpgp9U1GnBP2WDDS1ZGfcFOlCu7Auwfy6nnhMl74XnaEABWoO2LaIskfIObXWUq0HrlG+WxLhqq3Uh4mrznbTJCjOunPU3BDYeN7RxAdrYMIy90C/RrSWWSGjiUs1ETGvh/V5KqCasiUAxfzgdC0oc0A+ReQD+wCXGSg/dJ9GJaCOh4D7c0Vb+Y1WIG5iz8Vz+/i94vjdhv3ugPrlhuW04/r9EeEcWOc5V0Ai4g/PQC6Yzg9EV1tiRJBPVB8+/LAjPe8o8x1/dgXmx2I9sgPpvEtH6MriQT99I/ZUlpbIm54Vb/4iIxTF9UNCPnDs0rW2M59MHmlMDG91mc7ml1ryyK/JmtaeSB4FVjUM2hzmH6czA1mn3ecjkN9xg8RrhLdzauDRFnhPlX7oP/r5t/g//dH/C//Tyy/xf//1P8ITDgh5RrrYuojD9wFtD9UkQGJyfX5mQuayB+x7xL6xn7TmgNZGCIBq7zRR31VMH67Ynxak7yLShdTk6cLzZvtQEK6hgSh15nhNT9LaKLo/f6PnYAmncsfPp+9ZUrO9odJynewcWwOWv54Qr4LT3yjmFzVxOrlBg8PKEpjpSbF8zNiPUxPK8j7M6Uxq/+mbjMN/+AZ5O+M/5/V3Q1fmyJqzTJRLzqZcOCV4Gx5SfqUFZI2C5OJKUwROVOOsU2SG1um5qVvJOlsDc8vIN8fYs5/oGRtXUvbDGkA3YFbfJCbbX1OARDtthoxkqyc0NCzufO46BZRj75XmWTMpaNSGmjjxXhDPRxdonCxbrc2R88PTqSHuPE1nQK/MqJYjN3H0FkKimFIh9UsU655IeQBaY+ztwsxdjbdy+f5y/nu8upNk35/pgI7iT3GoZ/Ggmxk1V33U5nBIrj+uZ0oBquYIVTqeWgFBwA0ddhwH5Rx6MOX1RY7WJadeWZAeNvtuuwenDQNAiYnrCjAhG6c70nFL3jZlSkDtDrOIUIm2FKiEm56rvFjoDtJe0ChhIvydMx6iQEMEwsHu2dewOyRD703YGLgzawGlG2ooa7vGwLZRXwudxNbext8zUqxfv6TTXilGUJuemVqgVI5UqS5LaIrl3rohHzmOFwDbfWr00ZDRUQ2777jV5kSRkmhJkBa0St9Dk0IPFTIXpLlgXjKu04xchNQfYaavXIkEeRIL4P7WCkT7/lFQpwnRWSss1NDvCUBTgzT0Ntrf0zPrsxqVsdaOaoLXb6h5LgBKCwIlRWDLhG9sPTgVtipYlx7Q15IKpFIjIGzjvDLAlbENlCcoWskI15OruO4nS5QcJgasqsC6QXW7XQYxABKBeYIeltvf7QWxMhko685WcbPZ+IM5uq2WfHS2bG1Vo6IJen1bQ1058t7v0GlUOqKYJpDEsQ8tweDjXScPhgqTkNbGRxS3CuH+UiZ/FJ5EogpzOYTGLNBoSu8HNKdofNEJt8vZ/ommWi9DYBWsF7w7s6Pwma/zcL/jcNxQa0C1WtkSEoo7vIXJgLiZqFwxB69y7IIFLc5uYr9BemohCyARZY6Gpgvibg7ERRp1MF7V2hQ5jZ7jpMk6CwDwllAqAaiCsGbW4A7lG17jHw4JWgLgqDDcIeezJEFjLnSV2zFzNM4Xv7sllizg0CQoNnf5YMnoJSHO7MGOV3avqQ/b/8vOkqhyN9G+HyYE1wjxvTgk1VtLKtdKsHOuLhGYorUy9Jo9S2gNZTtjP1aeb+6sozE3ZB8SJxi0RFb27g1TbCVT3D/SRHFUhsDSAzWjYHuiHgIUo8AxkWjsGVvnjR1nbJp8J1g/TGjiRIIWFJZJcP1qgdO0PemYVjWaIwOsclehU0UUKsmmVCFTQSkBOUcgKnvqWrDs4IUa5TtYLbDb8JoE+4nfES4BtXhUB+AasccE2QXpObRAKhQgrGgUyDZGPkd+jtqz8efgOeznYYTVugoZK1UhW0XaWLdbNDbmnCgDFD3TTvmYRRd8MuYg20fVHnirIO6s+y9LRJ6j+YWeDOq+kCfoZC/QfYgeamdElQNrcaWgqV3nI5/tqoKaFuwnIP52wT7NmC8MljgPEYfvFXo6MImTjXGxu+CZraEoePrjBXGfsT0wwM8n4PxVYiB8ZyKmAibhkiIvingJWD7ymfY7BlDIHpCaPa7ahMviZ8XhmxX5fsL5ZxQqcj8krmTQeP0zPMg1hemwm59dAF0Un/9XZqfWYPbTnhmAGH2+tReyeILCegQp9gfSn329loMC9zvLcuw6z/uM//bTn+KbywPWncGpA0lhB7CblsJC4UHvihJ2do0IO3obzyzImer7WgQICjEU9/K0ADlg9taJN1kymFJ2wNXqxw+/TZZ44f5fD4qykDm3Kv19Xyu0vcD8xDG+fmkq+6W3pktnrq20RJRT4FoW7pe4K6aXgrhZ0t5iDkCbun8+AU+/mrDfs1Ue148CJ0W6Bip+N9HV23P4973+4CDXs+Kt9lCEztzzmQfj24eOiioheXVHcid6UQ+J8uci0AOFWoodEk1dmGMBgIYD5gRB+e98CO0+6ETzvdGyngC686sD0mXtUkibDY02HM+ZLYCqNqEJbw/g7VfymwOuX6RGM1GhUY+bNppOOQCXn7NpdHwOiCsncn1P7vrpd9ocaGb/+qEWigKFmRcocP0QGeRWGukQAQmK07Sz5kQUL3FmwKBWAD971i60TLAfXgCag0mH3i29/c4yNvnIjC2U39vqBO0QWz5lcyo8AKbhC1uBON3RHN9qLUmC7g1tE1EohqChBSLS5jRdmNHfT2xWH3bF9JibQ4sgKEfWV7Xa3L0ibBkucoYKyJLaXBEJCh0xnyOwsCWQpnjTbw4A2wjVCon2vh/VMjIY8UOmMRzS2OvZENFxvQKkBhuC+9qJJn1QqSZna77Xn9dei9J6yfX+zKNio9fBsmBCeM9DrWWrj7eEi2wKFYrGldPUaWrJaWhcF9vbngmFkM6jQod5ehFDdcNQa2cGfHsVgNe++FpmNSl0VqS7Hcthx8PxirfLFZ8OR3yHB5QtIMtkbYOsJdZuCSBH2DIgtQ70dH5PMBG2dGENSVxpWL3e0YUygrVTmC4V6VwxfV4hudK58cRW7uPotq6hm6UwoCwFyJHrJ9mfIRCMUYgkClrbqJACwsqETbjSXnpdtVOGm9BVDGyDY2UVXFdiLV+EWdYI3J9mpBige4auK1QHSnIMQEy81t0R5c0BTqmWWiHnFbJnrptaITqhxoMF06k5Ya3kwxJWXtfEFifmtN3Fbu8Gx7VMhl47vUw7o6XXbgpiUKOu9t6eZQmcLwu4gqmi6iGhLsmc1x6ItZpRVKPn8+zJh97WSROQT4LtwZxbb8Nj9zK9CObPGBxl7iX2sA5MsGTF9Ey7sL2d7HmkPZdGQGfFF+9e8PX9Ey55wpoTztuE57ggTxPyiRTD6Zl2d9w3wQIBd9pb/ac5aJKl9RssC2jrhuDK2TjzZ8Xhk5UD7drYHkRHAvRuguyVZ2MBgzwB4ssGeblY0oMtqOR8pS05LUSjNtpjjQH5YTbmUjUxGvC7PGGs6Ai+v+oQ4Nr+EmVSo8wB+0M0gUYLgBa7F2fZjP1D94K4rn3/ALZ3FnOiphbQt8+YsJLXQkoRqAnaySVTXOthuhHDLEvAds967MkUY0dauQsbzU8MYPdTQF0Y4M7PhojfsANYWhWfrtApYrY9vt/xXKubIMS+/9sZUmlaqzMKBtTfa1w1SkOpWglH+51ieyM4fxkao8ST3KJEel9+7tE27ef0TF8oH3gelFmBhx1xIouj5Ij5tOLhsOK8zngpATVW5BMRHO953kpNbL2Stqyd5XZkAD09+3NJD2xMRTZdGJDPj7yn/UTkUSoQjDLZziITGwuWUGxzALSEQkUArC1WWSJCqYiPG8J1Q71bAMzAEtoHDh8LgrGZeuBsqtszE5FSgJhr96XAszxsBftdwvaGDKlkNGci0dL92LUgPF8QcqdxhgJsR2B7UOR7RX2bgS0g7Amyo9VI55Ngfc/xfvhzIpCeyJheKIyVLorywKSnZMV0HoRUYRTkCBPdkhYYbrNgfWdtnt5U1LkiXgLCLsiHCrzZUWTC9My603wkRTo4OmoJdKnSqPPTS8H0F98Cv/oK1382Y79jAF8TWwjNT4a4ntDWAirJY84sCJugvMv43/8X/xZfL4/4v/x//iuEvzBkyD4TLybGdrUA92qsgsAEuyaFvt9RE2tMZY3QQ8Gbtxek2O3N03XBf//8K5QSUHJE3SOS2QgXIAOAcqTPU09cd/HbiOnZ2mRakIs9sEestZiTQ0VaMvKaED7OJsja9T2a+YwKXQTrFxU1AXe/DnjzH7nHNXDfX79S6LEgPWy4O634/OkE/e3C8oAXro+73xUcv9nwOR+wvbNk2YFso9NvFcujtvaf+U5w+ZrIbroqps874prac3ubOo3BxMfYGinsLCmoM3D9IiMcMvbnA6YnoM7/fw5yuSB6Nt7/jdn5N5ZF9ex+RaONMXi0QEABPrlnPUGnHJbc+gnnv9FtgV7zZ6jojygyAJpohv/bgwB12hcpD+0tjs5VQEbosyF0/UcuJLIH0l/zyWSxDwo9VshSUMsER46iUyasOXLTGLFsUHspGk2uzL7Jmd0oB2CJt6hcFAUmBo31wKxPoyn6uCoQDdl2mhvHx8fShmkIdjtNFrbpuwKmXzds/cZbm4GBHisqkMg6p5uWQrVCEBo6ALcNQcwqWexVmQ0S9X6Z2hwU1vsqglotrrdrMuREVFhXMFDsnNLu1NhOFXl1bQD62uEa0LNWa9voi3qLxjZOfV8zDWFt9bgKVy9uwb07X5aMa/T4au+3A7nX2qKjBe40+i3U4X79O8d7CK83y8CUiJ2t4H/K0o1YvqNhLguYVfQ95PTEKK11QLooYrXrJ6uns2DI0YexN25dSJU6HDe8OV7x/nDBh+UFqoLP8xFAovEeaaVhaD0z2BBvbg5Lr8aVTpAjwV0EAy1hEDd+Ll2rIVy1CeHITsq57KWrtw71uON4i497jIb88pnFUSZVQAM0UZRKLGjTqpAS0PQCXi3Dm3X12uh74uJve0l3xG7WRx3s4vjye43B+ienYX3j5ixoe80DXat/FdWhFvDW/khVml2zM+4Utn97kOtOv9VnitVu1miJJrHtXJTnTa6tT/sNVbvdA9d4mbzenHa2HHjQ5iOa811Nodh7P0ol4tFqZIvenE0jIuXj5Iiduv0JrDdPsWAOmawbURQVrFNCLRE6Kiab0BXPRke2hcyLoVbfHXwXgGltaeysDFsfX1RTrM49QdZQ1dHGlM5aCFtBQ0pNMbzZk+QJ8GoJ4uGcrV01mO+xc7sOq7ElDcyeOU1Ue1KJLB1pidvbP4Otc3aCv4xtxOxWgKuE3zBi3I4HW7thTNjc2uhx/3hQyi4Lhhiq2SXT7GjCcn58JbS92tqgOSAX3YZxHFRgbWNit6Fq53cQ6GzOb1W2LfQ9LGjBLcbvDUL66OSBgSXbTeWbyW4iPPlkwZgp1cLWze18Yfg+Zy5wrYekSKlgmTNSLHh3vOL9csb38Q7rntgbfUJDeVq7Rwuq1eJ3yRS/YrTCW5CIhsIBZu89WemtUOxP3OxGLaHprLp4LdwXQ2kPKee2n2xPBFTAYsn23oDuv+aKEPu+5PfYeW5n03jmte8RD26NteMsA3t+nsc2P753MhC2zIT+niHlVpGHdom2AIUIpNh5rFbqhcYOI7V6TGSw9RDpt+k8cc3bGnLgKBsdWy0xzfOVwVlZui9cHzJkqsDLgvRMQ5h1Qnwh2MCsDc9jhJ5w2S/SGJIQMNn+5Vvsb+cfCUEBlhiZzP+2fcZaXEGYYZRphUwVa0041xnzsuP6ZrbWQdzrdeZ1MwAZ+tgX0xHwBS/CfaqJi+blvGCaCv7kix/wbrngr57e4ePzCSkVpFSwh4T9TUSZA9JZGotSMiy450IPrTaXZ1FxYlUVKw3heqhTgJbAeTbb4vdXSuC8m0ZOPAtlKQrnpdGRJ9Nk2AL2zws+vUwIT4mK1gVNE0AjGX0AOIe2FqQyAN3u0c6+1lJKBdf3AdAF+x3vucxU8iYSzERVa9kHO592ILxE1F1aDW+ZBOXDPeqWgL/Gf/L1dxbktoBQlXVYx5lGwQQ/6pFtJMJWED6TylzeHpldz6wxa05RJaIBALhaJn8OyCb80Ws+pC3utFULtBjk5GOk8qF6EXqnFAEwqhTpHQ0NBBD2joSwnRBanZfXS6L1y+zBaZ0tCL3zTLmiHCrKseLNV884zjt+mE/I1wn184R05kxuD9IWW3OUHJEzW0X6FWXzr18pN+6bHXGuOC2mbFcDdhWEULHcr603nBZB/eF4c1CETMqlFMX6YcJuCKyrFM9PvTcbBJjOAfvLUIOsgyiJOQKhKNILx6kcY1esDDT42Nh6IhRlXawHCqrATkcjOBJmjrTG2PsRG8oZdlIc4zaI+1h9I9GFgRJnVKK2RoFGMfL2Dcw4DQkLq5VlsDgcFqWAolJT/3eM0MPcAwMRBjBj8OiBhrMSIoP5cDaBtWXqFOSdCFc1Mapg9Wfe0kdyZfZ2eIW1z4Gv8xHBBYDWsku1iajIdSVNc0pQS0h5OYFORJ2ri8tMrKlzKmCxzGw+sYVV/nJHmAvevj1jTgWfX47Yt4Tr04Tph4iwMzMdduD0O2F9tdEvKYzCMfLAh3PDdhPybsPhuOOffvkNfn54ws+Xz/jZ9Ih/t3yNS57w+XLA49MEtZY6LTiZrW3WpZh4EZErZEUIAt27mqT3nb7JstshP72UFkSFrVjJgtXDbjsdnFJ6wsDX8OjoWyCoKXLNX1agbBBdmDyxNaORZRgtcC61JVAYIP4E3dbWWWtBpTo4UG7sMAT59oqxxWDcg/aPFHtAse5EnT2AtqACuUDvjqgPh/6soD1GpP3uqokOfdCOs5a7B94uLgMB5ueK9MJ2M60sovBz03PpyZv2WRPa+eECOa/Q04Jy6vWT0AApG9kkuSBu0eaBQc2NbTEq/vYmokwUQymzYHsH7HekUOpDRlwKvnz3jDkW/PB8wnqdsN6xPVJYgeUTD2On34ZibeoC24L48xIBEux35vzNCiSyct7OV5zqjqwBS8wIoniKFc/3MxR0ikibA6YL0JKPyhZKoSjyMQB3AXEDDp9pR/YTg/e4+r2hibekc0VrMeM2xPQw4nm7rb/2OVeFnC25MyXU+0OfnBih05Hra8uIl43BpK27YGPS2lqVTgWFVTo1J373hF5tFH25UBgqWFApSw/kxj8MTGnzdLCJUsxzLQW6JApbGVsrAE0Xoi4JxYJJFxzzPRVuykrc1qNR66sEq1s1mv5u9PDKZB8ZRQwItgeu9+lMdCNdK9KlmPPJ73XaeJ0j8vsjg4sDfaKQeY7WKSC/mxCvFfPHlQx/S/7kU2TSxsqWShCUIx3n/UHp+B8r4sOOECpiokLstk6oe8AeKToYN7ZtE2eGWeCYrn1PA2hstv2ONNV8UhyWHffHFf/yi9/iF4fP+Hp6xNfTJ/yP51/hvyn/GE/XBY93CSVETI8R07O2tlmQXqs/nUn3zQsRWe/z3JKXWVvnhQYmmP8SsiKt1UTWerJ4+e6CYO3G3Pcoh9QYhQCI8G4FOFekQl+hLhwXjQHV7E9cWS4Rr1ST9T3lSTRfQ7S/6GyViXXP8+edvvLzFcgF6c2MeBfs3AwtOQ8B4rWwVnbP0OsVWm/LT+LF1w7PoLiSDRKysZqSCfr8QEr6+Rcc6+U71mVePwj2e8X8FFhmt3PsocB2H7DfsT3R/qA3LJflB8HySXH5UrC9q6gPBf/wT77BEjP+w1/9CR7+Ui0YJTtsv+/JuOkRuH6p2L7ymlFjIlri4/nnEecv37EV0QMH0e2iC5Ttd4r9iww0bQ1Qc6MIMFXEU0ZKBf/h8xf46/gOv3j3CLx7xG8+vsX6u5OhpO43KjQowpVnU01q7di6TYlzBeaK8pIQ/+MR673if/fP/h/4P775H/B//u6/xv9t+8c4zTt+fveIXCN++HDCZZ/w3e/eIH0/mdJzO5Xb2tBgglCTBYwCoAjSU0S8CPY3ghIV2EJLytdJoXYU1kuCrKG1ED38tdGNPwjOX3vil1+ZzoJ0iTh8Axw+GfOgFLIojQ6+Pgi2e2ZH7n89CMIlwfULoufpzDW2P4DtlFLFD8uMeGGyBEGxzYrtPSBFkJ45715CEHZpbace/oyJeO/nvL4JyP/iDco2A/8j/pOvv5uaXHfoBoTTAw9YJq29dzgY1ERIXBjq5uVxgtMuhwbXLTPuqJh2x56BgZIe5YhkQ7aG2wYP8BuRGMAobrBA1x07C5omD8LRD2i/pYCWsWTfTUU9KLBUHOcdd/OG53lByZGT7IG6q2JmflfwMRteTdxnYvCsc0WcK2IqiIEPFYyuPKeCfc6oNSBnRUFsWb9hBG9qrQCj7Xi9iGfy7QMxsj8saUi8d++/enM9c/SlvGp6b/PIumTWv3UxGfu7VMuCWpDaarcAlzBHEKtHlNsgbgiMW41iBQRs8eCfZbZ/nLOh1u/16xWSy2sEIm9BoEa9vwlwg+DmwRvKCwtCLBFUcIOy/hQCB7yaM/Xgy8ZlQI1byy0Lclo/0/G6r56Fn7MNEdD3mypu3ulButj6dvVjM7h1UYSFdbJvj1csMWPLkQzBKVKVFtroZq0OraI7uEDLJvp8qAGMIbLm/GFa8W464316wRfxGd+kNzimHZc0mZeAn3BwB/tRlNRKcOzdMeP3+VrsiSBX5o5n1hpK6f1VO/tjCHAH+9HQLCt1cDQcKXbEd/jjcyEipjqvnV5Z6d2yp+2QNHk9r+PPjPb5o9crG8i5D7f2xtdyQ8CrOUdy+x0edA91agDXpbcE6SiQtHXbkDBH5QaUt9l1Kyfh9yuaYnhLjNnecGZQrqx99p7sAty2YjP7YKgdwPmt9r3/X97+ZNeWJckSxJaoqpntvc85t3mde7hHk5GFRBWRIEiQqOKEIMFfylkOc1TgJ3DEGb+jalLFrlAFEKysjEyPrIj0/jX33tPsvc1MVYWDJaKq+9znngF4gAbcd989Zzdm2oiKyFqypCE1ZtN9nTfhs4UOTTxkzHPG+8MFS8q47AmqgutOx9XPqNdMHDFzP1IpxzWqAdQiiIokFUkqQlAsAHINmMKCFGoTX6sTs95qyp1ee9ts+F4RvJ9pZZ9WR887a8pfSwc8msjTuPZdubsxFcY1EgPnwsTG1Kn3o91sVHyr1bW1oZ4ItIFX90Ff+QFi8+f35EyVtm+s77TvtSYSNM6rf9Br2zz6JCPiO96Cf0Zbx912+RryvabDaz24HsvhbmySdtsTsgdh/v0WEDkN1FB3td+1pLop/TbRr8rkBIVzpL2v6570+xrPuxo76lUPdNKnOTNZPjHJW6tg14Q6VdJoxWpblZ/X9yg+O0tv7blCRBFDxbvpjK+mJ3ydHvFlfMYX6QV304atREi6DZbG/eRj4YJN3j4Oyhy0BjRhJ6+fbPvO31cZNIfdbbaN+VqAbYeAddz62olpD2XlPJl+EW0bF0VrgWlj7yKYaKyAYfzt+fz1rtfSEjqjOOTw7I0B46ivJVwbHf/VWc8uJMamWo1G3GjG0sfZ1nU50FebJoG6avBEcbT9KIhRAFS4SnFvxYjBJ7dns6/QSdnUG0DVrmYddgCmN5NNuJLlWTY+c2UXz5kbyMkw1TsvLD4wYq2D3E/xh1dIUEiqNCWmKh+mimkqiLESIBLFIe04pQ3fTXe4JreBNqRJCW4NjD8pxu9U8wcDffAiDlgp3sYzfhYj7tOKGBQpVBxiRg0F2xwRQ8X3U0WdFJL7+eGxS2NeDLZEsu1vW8uSBVijtSZCY6cJbDw2BuZeexs3JWNH0ZF8P57tM6czxWr5eNKAgxLA2vrIcpx41UGI0deDnZszaec+B3VSVI87qjESFtrQsA7npz+7szZ2DPaa358TUP5Azv/19afX5E4mDabaKDQoCrlmfCZy4wiD1brUhQqtzfi+ppFJn9kae0+6dCk3Sp03VGYzLOyzRcQvXIttNCIirWaxKJ25KMzAVdaRYqWog05E3WQtzOq9mVEORgVS3NCA6ySNklEOinoqmN+uWJYdX51eMIeM39Q3qCszacGQkxoBRJjGkWB6qTh+Z+1arO5Rgy0uQaMQlY3OwV4CDgn46viML5cX5BpxKRM+bkf8u99+jXxJiIG00mjqgU43cMcoXZjZTM+GOHg7I6fm7EC0wNzR23QxdMsUZscrbN3Y6mRCOCUN81NvakGbsIevFQsExHmM1n9WAMTzCuSKeppQThMTG2s2OqC1AdkKJGe4mAxE+P9KBzCdAan+jGiJBncqXGX4ht7mgacqJETIYcEYXDNYUKIVE7O/TtFXa59x8zkHoqd1jla7279HMhG8asiBmJovhMmXvr5Zy6BToKNvLAZpjAXtAayjzCvrirFnIOdOlx2eM4BrpL3VMtkN4TqY4uZRUQ8VU6yIsSKYN5Ir604g5jiJe3hWb3kIZiDNqc4gJW+WZjA9CM05IBeenJMU3IUV7+IL3sYL7qYVlzyRnj914Rqv73Q6GmoXa/I1DaAF2TUFqw8ckmTGCBBXMfbEibd/8nkXoUCTOXvwJMsYFMD9CGvtMaVej+tjH20dvLq8PZHW0CjPLUGUx+AhmLhZpZiVJ5wUKIfQKIYQIFwzs/6v7bOvGlej5YKHo5/+OwF4/6+Tkx6wQhpCwnIG99K5luNqdWeJn58uFjAIW69xbnwN8BCsSRjUKgw9V4RLNpZPgkx3DHJfVugUUe5mIAbWxx0ntLr8lkAyRNfOBE6Qq3Lb/dvhXg8Vcsx4uLtimTJEFFUFxykjCKgQG1mQHq8m3LR15VQPvHqLLGn9N8NuAoF3GfNxx920YgkZb9IF93HFb7c3eNoOmFOCHNjDeb9QkXh6UsxPaOt5vOK1YhlKSQAqnI6JWVKGzckYei/7ugsmDqghQKIxayxBcVN25AkdF0Jz5fiJbSl0ohiTv0cKEK5k9jQGwsgIeB0omV0HKh0egHtuIgK7P1AMKZ0rwkzV2RZMZnptWgMw0Dhl24HDDE0TJFekb5+g84T85ZFq0MMZ6OKJLZFgYpWu0aEIFOZzIaIgra2dKB1Gd/idOgmQGj5d6CR6K6m4eauhzs7Jx2CBZW3q0qFUqAoFAkGWWmtFthOVVwEQA/b7hLpIo9vW2Bk5TiOupuot1pokRsFh3hGDYp4zW5YERZ4qyiUinROf44pGr3Z0r2l+iAed1B+pCwVzthzxXBY8lwO+t2zWJAX/6dvf4feHB3z4dIe8BpSjYn8jqFdfk50m7YwfKWyPqBHYV0e8eR9ppRNOijhF6qanQoVoF7erQLQzgUyZBbqwf7LbBEeF/apzpHaMLIBauYQl6dU+p0y0l0TjKZyUJ1eA9+4ZAoHVWF8zyiEhHNiSrE5Ekr3lYFli6wbhZVbetzSsBfXDR8jdHfD+LVA34Ac0Oxoyy9MOOzA/WUlQAnQRBjmRtaDbW8H2FsDXDMguOGB/IWp/+hXXyvmn3JxxjQg7MD8pjt9VhEwWo/tUYr1Mr19Ir4t9Svjl/+PnCLsgXYGXP2O7n8MPDJjrR7Q64LZ2poK6BVKIG+XcFlg01NfQT++xHK2ULl0FocwoB8X+9Y54zLh/YA24X1MseL+cEUTxq+e3+OXHd8g5ID7sKFuAfJwYsFq5zPH3grvfFORDwOWbiHwELj8H5KEiBAbOuAeuPwPCKeM3+zv819d3+PX1HUoVXHPCr17eYi8Rv/94j7wl6HNCKBY7nBSyC+aPpAh76db0Asy/Md9/Zo/i6zeK9YuK6Vlw+Pdcr071P/6OSsbbnSDfRYRNsTwyAby+Dbh8zc+OFytRuKdNn545f/kAXL5IFLrbmCDdT0NywXRNAJbzrF/Q8br/u4A3/55ze/55oT34foZsgvf/Hjh8UDI7rCZ+/UI7XT8xCA8XMvme/7ICyZW9FdPvJzKlVtb7j3vyj11/OpJrRp2ZSatrQYVcSxe4AW4RBBchMjXAqsEySb3WRqUHKDfUI7AVhWxdKL16eyE/wNUPcDTxIYRwo07XanqU6p01mVLnmkllsiwpVVOL0cwoSNLqh0ZU0DIurLNSyFLw9v6C07TjflopbgCQR1+6YrH3v/Um8SED09MOtcMpgBkUMcS1PXRhPbOqoKrgYVrxs+UTKgR7jfhNfIt/q9+QniFUpRPvZWsOF7RTkOOVxlat3YPTwEXBOik/wOygd/pmWDPbLoVAZ9MCA6hC52QBHqgq64GBZyk9OJTBoW61gNVQodDQChSjUK57Cxx7DSq/D0Gg3iPXHXTznxROG6tGi2GKLGe0Njy9jY4p1w1rtv+/NLSuI6sesFt/0CHIrdYqx3v2InTqqQsMAbbWHeUERWs08oBqTo+LmhjKopM7Y0IabdXbZ69DUFQBlNKyxFpra8XR6yqNUo3AoEFY4+XZY6/bqrNRLKMiRBr4thdUUC0rp5PejKPXqLVMLdxJH6h+QK8JMtp9gCJKxUF2HGTHEnYcYsaSMuu8vRbKM68tSWbjYciRK1C28RYBDglSvZVI7nWcY/Df8gYMlsYaZ0dptWofXxRm1htC1JkO41q6qd8ebeXIdLA5UqcvD315xWxsu1NVoEq7f5lipyrb/pdaPxNVu7kCEzU3SUofqxiaSOB/7OK4o82zP2+jyYH2h44rD1LaOqCll+0gUxP/k0znXgqTOWKJtBqFJQDXvTNKg4nJqSWB9ttkWkNuh2dhz0XeW1uPURGnirtlwxRLS+YsiUFTjBVONApZrS0L+l4c7qcjHn4v9r65YFl2zLEghYL7uOIn0yec64wYKmKoCHNBKSwjKIuJoqi2z7gZ+6JIq9EpzeF2HYZxfto6/qz2GmhlDgDXrPU+ZjD7mm7Uk5eyZ6PeByYXvd+2CaZx/9g9DErcra3WuGDUkDj3BZzhY6+tc0BZxJyxCj8gO1XfAv2hhRT/XVoCUvYCebkAqqjxztqcMPGV1trq4jxQDXsl28kV1Z1pZej/61rzuL0a23GOLhZwGXWeyQa0pFBLBklHsVxzojHNFO1+AgCv4W/vn5m4buwtoAW3LjCliWgXBCxxsnGMoSKFCkmAiEJCxa79OVtbFmfLKBoLwynEUhgIS+F5VGtArhHXOmGtEx7liCAVP18+cqnFaslHqxlUoyAL6flStAV6KcNEKfm6Jn4KmAp5Ra2CmBTOQIvXDA0J5RCaX8OH5Yavc2p1zW18C1FVnu3WI34OVkJk69p8ALUEtXipAoB8R0BHXpczKanN4bL3nwVYNxGh+dTYFGWbjxnbUmc54PmMeDpCT0vvf237oGkbbLR9FPixBF7UFvTmIxPXxxPt3MdLQg4R01PE8onCY5dvuB/jlWjl9ALMz4UtuXYykVzQsUZAj51iG9aAh/+ZyajzTwL2B9btBls36SqokdoeTajQmFZeUzu2q+QeAqLtF08exc0EjZR+7r4L9vd8w/1hxc/uP2ErCVuNSKHiy4WtaP52/xLn5wUxVczLjlWntnbTmUH28buKh3//gvwwQ+OC7UFw/cbWW1CkWCFLhlhy6FM+4m/Xn+DTzlKOvQRUnXHdE/anhTTinb64pgo9FWAL0OcEbUg5x/T4obY1XmbB9WuBHgvk44TDdxSZXd+RlXn4WHH4fsd0n7DfB1L0zxVlCTj/BDb2/OOsPDGgjUkWCteGzf6dLMCdKTKnvnYSg/P49RWqgvQ/HXD/6x3XL2bgzQ69RkzfJaRnwcMvM46/ecH69QnXLyK2naCJK0nXqEgm/plPCrzbkJaMt/dXxFDxu+0LpEvqCPYfcWHG608OcuWyWesPJd3Oe8rOCY0qAxBdsDjNVUlDUcCy+kQbtLXP9To5F9IA0DJ0NQaEGU1wg61gLCBLAYjaHazI5udAd7rUBI2kUKDpJlixRvfNEZUe0KRraQiutwfKx8CJX3rAKpk3/vZwxRQKnvcFe4lYLxPkyifM99w8XmOQztaiZDN0LpmxCx48M/s1fx+YeXkLqAUWTlmuEDznBb9b3+DjdoSIAqlCQ+xjH3yBaKuvhaLVMiNXzI/7rRM7BxRTgUzPu2W3S6urHSmUKhzbtj68nvl1PWFz0rXRcsRViafEP+5U+efY61jXWhAvuTuRhr6o+TmOIHsQcEMTau/hmpqs3ZZsA7o8UtgAomg/cjVhnRT7OBjdUmFiW4Z0eM2iojtpnRPex1AsUHFV8B64gkrBjQ5oKuAe1FZ/bzXUxAJYf30xWqcqME+QZb4N5F4/WwrsldtqFwfHyBJPMlWcDhtSrDjvE1RnbNa/DVtAfAnsgXZFb6tS0VphqADV2BztIKtKyk1Fo7h9v96Z83/FQ7zgUzni43bEeZ8QkqLMpPzU5KIKRtGc+zrwAFfW0sYcImQyltBq9OGJGgBeDzuyD5qtGJHXXDp92QOHGDsrYAwY/ffJUXxp9kaua0vatLXor3N7OiYxRoE/kVYzDAsc6EhnolOL0fM9udQX8e1z7Ib2p0j0LoB7PRjaEcLNfnZ6MP+Bjnw7PdUCrRbkGdUqXS1x5qivUwhbkMv9ocnsc6l0Ui+7PQOgEAZdLoBjdsP3TVgzA+NodkmVgVe83d8cBkO4rM6PLdsq5FAQE/u8lxqwFgrkfPd8h/U6YX9mrVFYpZ1RI+3V25Lw2aQhMM2+R2CaCqZYcM0TPu1HLCHjEHZUFbyZryg14Pc+vhUmyKONAeV9IMNuIk8mWIMAiCX/2lwNiReitZ1yTlYUy0m4NlkKoZWJMbnU9kwAbTUA6JJYb1trozJj2xGqQlO87S2O23sQ6yrg6Ln31/X9EiyxgardbobQaMljUChVkc62lrLZ/h+pVVRn4hT7zDd30Dm1JGjczHHd+O86BWSzUzCWQbLvq65ZEL1fMYMXpyIXE1tLV23JbXfS89FYKhfuGUdxIWgst3TlggpbtTYzoJ8FKxuy5LAoUIcAK9haXH7YTYfCahsnaffmSUc9Ftw9rFR/LYIYWfq0xIJS+V2X60TH/BLY3WFjLed09kCJDnFs9lF6QCbcn3lNuMSKS5lQVTBJwZtwwfflHr/fHvBxP2JZdpS7gPpsDChFE73xQF2KIqiY2m1u60DFz0uY+r/Nme0b2PpGuBXoqQiQKSKIoC4R+RhJ418La7mHmuvWskkAMVq6eHAd2E7L21N5+QrZK8YCsJKvINSRKUuExqWfs15GBfAMcb2NSvvhv/NgspwmLH/+c7IbioJOEK/9XrC/5TzEnYkx94PCDpx+S7/OkWFRwfrv3uAaFNPemW7nn9pnrOajGABy+UZw/YpMilYCZL5BMIQ/bAJZOd7rW6tRL6AiPYDz1/HGXnJw+TlpyqhLYKBcBVNlezM9KKqNU/O7lWvs8IPi+O2G+lO2MSonOyuq4IenO5zXGadlw/sD+7796vwWpRIwmpaMkiNb8awR0869Uo6KHIDzTwKk3mM/Cc4/FbYLEqBeEkpQYM7Y94jt04JtmvD/ffNn+OF0wrVMeHskJaHUgBgqtrdX5BxRzgnYA2QXxI8JcRXMHy05NiS7nn8WzT5zzaYzEH41Yf5I1kJ2HzzAapUTX3dljLXfUVndBQdV0ISsei0w7UEqjE2i1V9TQ4IBbroA8VOf73wKeCmHlty7vk+IV2D5xcHOONr3chDkhwXru4jLVwROpidwsfhxEK3tEwD5MCNPE77fEiQopk8R6cVipnKzzP/o9Y8Q5F4hLR0dIEcueMydngq1w9iMd53pIIWtImwV+8OEfAxDSx80GrIoAwUATW2QAjXB+qAa576aeI1lwOLOGqOyRJQj6XrpJXfkw+sK/LOb42kZZT/EhT+DCOIl837vE4pRHLd7MdEpo/wAlBYX4OvDMyoEv35+i5dtQn2ZMJ25MfeHingRLD9QiGd+tv53q5piohs7GRY1efv7PVCOgxiCqXDuNeIxH/Gb8xu8bBbYG73ZLyIXVotlzcy9BhegQyFPpHPoIVF8KAgwM4M9fbiQ6uqU3NcLLQDeq1P2wr5tKbAdQ3O0+g2FLSM8rwwONnNeDzPqaTbkktnScL52cZ9gGdQXpnd7QGvpPP8ZAFkLJJo4RLIgYHDqWH9A5yFcM9eoHzCjExykrZXbDWCHnwlVsEUPAwKBiWXBEJU5otphWT3wGemToaOuzlYgWhu7oy/uDIIH5XmDXFYmBZbUaYSqwJ4b3XUMdCECPc1EMVYqMv5YsMsg17LWQ52iK8JCgDBVvD9dUFXww8sJe47IG3u4yRqQXihnP710AREaWWa568SWGU1hVxngUkgHCJFB7sf1iKwB76YLvojP+LDf4XE94LJNCLFAF0CnqfWfbMqQhkKncw9wZd1uEhNBFbozcdIYHtb6SpeJVOBXLUh8HdJRLkwelArslpFP6TZZ4jROR9A98WL9k3VK/H7fC97v1hI+vBlPDBnbZZ5a6QcAeFshANAQacdqRXzeIHNCPMVG0WtJmyCQV0EuZGfC8rgAi4mSWeJEUwBMOKXREh0NddTD6sRbEBpw0/sWsCDE23Mk2ye5O4COcJeDJUBMMCZedoSPL0CMqPcLbcG+c95sH3pbO6gSIVk34O6AcjKmCert3gbXMoXVQqPj55NCDxXLYcc88/ApKtj3CaUGvHw6Ak8J0fr3xSt6ognowa5aQGp6AtkEqDwAqJNinjLmVHAtCd+vd5gtyC0I+GI+s47NkplSYKrIffwZrKKxEWQtkOtqZ/IMb2HmZ5964mcd9n4FJAUriXF0EQhKWyZbpo12arxY6ZEltetk6sRThGwZ4ekM3XdISnzPlKC2ntrliSOpZCc5JRp9LNWRX2fKCBqTh7R2bTW9UoD5hQGFbAwwNGeUHz6gDEFuPU2IVQzRje28kUJdDN39PNSm3J0PVqedogVbkYKZrshtwkHV6tXCTgYV25lRUChsFS5kVBbBfgyIu+LwQ2Yw7QKFJnTF0iAixsHEFutMOjXbyew9qWR7qSyhn+2lIn3/AuwZ+asHbO9m+x1RMwQm7KfTjp+8ecJ5n/B0OSCGikPKmEPBbgFAyRHxMTJpucFaxFXMTxX7XcB+Z0CFl2IltO4NTh/Xa8QmE64loSBgCTvexTO+L/f4drvH43bE3bJBADweZgZ3KtYjGF0TxASG4rUgPtOeBxOWCxvr87cvD9jeTJ1iXrWNrdr5CaCt27AHitYeI/JdaK3JBGj2rTOe0JIV6orutq/iuiM8XcxvmqAhIB5opxsDQEhHVQuqyyF2mzoEuqyj78kcMQVaFYoHSSVKHP/8S7YQWnfrzc5rewOUn1TUu4LwEjE9shdsutCGPPwyY/l+w/WbBeevAqYX4PRbft9+b6JkbxTrl4pwFSwfDdkz23X5s4L45Yr8ccbd3ydIZe2uJ4LCBsTJgmMBtnc834/fsp3T9iA4f8OxmJ7QmCOuTH5cdtQSUA4sHvXkaJ2EHXQmUq29DEAKx2X+9SPWd19if1NRThWIZJRdHxdcywHX91d8fXxB1oDfPj1gLxFBFKfDhsenI+RxajR7KP31eiBglI8B+ajYvs7087YAudi+E0XJEeljggbF3x3f4+P9EV8cz/iz0yO2GnHOM0oNWN5xb32YT1gvE/TDjOUHtlE6fl8N9KoIu+Lp5wlPf23nxUw7d/cfAg4/uB8/1MaCQS40UMTuXFCOAdvbCDVhp7iiqV5L6UFuNfp6KEzKxZ1lZTXFVo55/I73l84V0+OO/c0EKVNTnL5+IZjOitO/rtjuA57/gjZgPwbEh4Tre8HlawqFHb81QChwzbjIWcjA8i3Pn/3C988fBfMnLwMaWEj/kesfR3gKwGe1XSPdDmjZKKdjAGjqjY0CW9GyoABuBAcaQoAhm+eIhz90NJqNZQ0p4lCh3tvVs+wYPieTFgt3jPyeB5Xe9uMWiMDqULgQSgXC0ayeUNCkrBG/fH6HIIrLPiEXq0ly+7OzrsqVlNshZaitWhA9FvJ7FocIpHDTbhMeg2KJ95ik4sN2xDUnbB5srKF/p/KenSrqVD2Bt1wKoDAEx6Z6BlFf1WyNaKVId6Bg4+6eXa3tcAhb6SjvOLG+bMwJap9fiCAgG73HKc4j1bPQELY5DOg1pgODoCFpBXAhopAra0LR14aoduQtOFzp96ntGb02srdHGV4nw+k5rif/W9HpxMM1trvxcfGWMaTBmhG39JXk3k6Goi/SHWzP7Nfhewaqn1PGxYOv1wGuB/oNlbLgRRU3GRMwm7bmRJC5BORMKXsqpDOL22ppKp2Tns22pFZWdk+alG1enF6VBWWNWGXC47Qg14DvDvf4TXqPb7cHrDlhywl5TdAtIjlNtKCJt3BtDfOUgnNl0ZD35rj0tdIoxC4q4g7Oj8xdu8KP2JGbce1jrRasihAhlBh6eceAcn32fa/+n/1ohWszAs6FIQIbbt7T2qOoQtvPfuQ+x/sd6crD99I+hUblY/mGq0DLre0cgr3WCmO8VElRbWeB2V9nZ4i0OtyGQntyIErbj341xVR7r3gvd0+S+eus/UxTJh8PTVuDKIK8JwKCJsSTS0CuAZppw+NmdDYLPH2s3ba30hYRs91mh7MLsAiu6wQFEEVxnHZ82E4AgEuZ8Lgd8Wk7IK+JPS69TYR/V3teBura6l9NQMfrXtuzKcszFLdrPwzOvCrCtbN7GuW/2Vc1R9Zq4feC0JgK9j1TukmmYPyMAfmiMFLoP391NQZW9IRI3x9sy1Kbf9Ha9wy2UEJAOB5JO3YF4LYGnA49+CY+JJ6sAVpZj9aR9UXqeHXmgCfotKvpOprldaTu30hWY4DbHg6jb0Hl484AsER0YZDrbZ8kd8ZJnVNLesd16DxgCQikwLITqwdvIlntqA64ZgqpzYl153uJKDXgvM5s77NFSwx0/wcNWDC7rmhMn0bZ9gCkwnqLBnzajvj9+oCIirVO+OX2Hj+sd3jZZ37fliC7leG4zVC12kgGlGTsoTF+HGmln0nbFK37QLCSiLDbGO7Ks7T2Pepz6sGSJ9zYL53aDI1WDvcdup8otk/EatlFBbrtXH87A3ZXZ2ZtbSTTxRbcqO7vtam+bjy4hwDx6r/jz9p5Ct8f/QwSBdKLoK4J6ULFWz4nA5r9FBDyhHzofXHLAnibnBoNwDnwRrzNTNgBWYF4CchrpOrw1daSAbPlAOv7ilebTpuAZTkA+c6Uxy9AgNHzA6CTlUGJ7avCoHu7Zz22r6uw9c8XZTeS7Wdv2J+6ArLTHxntoJdTVRWUGlBKQJoyplRsTtD8fA+uG4tmB3ufrwEIinjh9+z3AVMqCKHy/ZWJoeue8JJmTLGwRZYKKqT9fxM4i0C1Fkr7naBMQDRV6XIQuGK/U//Z2onrISnfWxegRsX61tryGKs1L4G/H0oqfMxCZs2vBlY3tpKLyOM/itnaDOgmBChWBQTIdwn5GFpru5DAksk7YD9FPo+t45pIs44rsHzgM29vTG3+3INdTUAJYCsqj3+aL2fHUxjKU/8j158e5E6J6nGO2LpB89paW1jsxRabERIF0r4j7AVhj1YfaYe0otd3+CFTFcnqGxryqNoOIi/8xyHZ4UtBpLAVRKub8SxwEzraMunWySiZArQ6JKvFbU6CiUrUqddahMwsbDFkoxyY/cJRET8k/IftayAppvuNymvOv7dNGVe0XrNNNXESQ2H8/2HPz7HJR7TeXbIJLh+OuE4Lni8Lfne4t3qXgHVNwMcZ04VIGsDFzJYRJuQSMKDjzEaHrSKeN9KPZmYYQ1ZMjxuDSasvbS1OlnRDTW81uRaQamQdnVyvpGEfZyDGHox5YAmgHqbmRMlegJ0oAmqn2ao7uLC5qgBQiDwNitiooFiYBc4uKOS/i7kiXDJuVLJrNbGUYCjfQMlUNepQBKap00z9MgdRgH7gvgr8xWpcgSF+9gPSM83u+PnadmRBbRyNTtvuKwUgzbd1pGNwC/TAaQiyZN3Mor0KhPsDw2vXJUmjpry+ag54vC6oNWC9zqhFoFsAiiCsrNlx6fqwK1vyXGpzNqQWTE9sn6NhQlFYL15Fugjih4S6RHzcA56miqKCD9sRP1zv8PhywL4myA8z0iqYXqTVmcSrtsDUa5lrjZBEWtqYyGrJN7WkT0tyKJz6PQbATVTKkOC+BgL0SMojLlciUNaehoekBZeOtlaF5ECkywMwX1c5t/uXkVp8M/iVaqApok4zbZzZIkcV+r1ZQFWVTIzBtt30gB6FiUoFLhufa+G+8KCmHiP2h4SwVUyPLONQc5Tq1OsLvSaNgnW4yRv5/mC9fW9hQ9SKNSiyF86R13UWhR4mom9zr2sf7Y9WtqRrjA4LQlqizcST4nlvAbvGcCMkGAoP9HgOKDKhHgUpFagK1uuEWgRyiQjWTuX0m84OAYzmde2iRWw/x3Mw7kw05kWRZkF9EVx/OGBbZuQ3EcuU8el6wK/iW5zXGS/nBXmLbZ2zHk6bUqw75KJAmQLKFBCOCWGb+t5WNCEpJgLRxw49eGyU/i2zTrVqTxIF1mO3tee2F2CrP9sD3h+33nkLob3Zb9kpqqi+d6JR3y2xyze8cl78u6KptYfuA8iVLX/qErG9TXCmi2S0YAPzhPDNVwh1Bf7OnnuKwNXOFqXDxvrX0BIeTRcAHN/puTZWgreAqmlq4+v9tNt6L77u+54sQZAurOPUVTA9M+Apc0CdItK5IKzFAhoisvFl5170YMx9EwCsE00o7w7Ip4jpKWP6eGXwOTH5uX15ZG/zIynXvR5XGvV9Oyd8WE44zDveny4olXZ9LxEvn47QSyRiVYCQhT1lV1iLIN7n/FxbD3Wvpy3uwyggWRAvAaUKfvXDWzytC/5t/BpLyjjvE56vC3KOuD7PwB4wvbDtiSePQqGQkxRtLe1utBFcpNOo3FIUh+82zuVebpgnoVK0zs8BBKCcZtQ5QnLF9KK9zjlXxE9ksMlpIRtBlX4l0Jh+4WWlPXZWT61N3DHGANlnhGsm82qZoO9PLJ3g8mMAvJdGl269Xw2pC3uFXjiGfokC0+OGcN6oTXCaUYZkediBu78DmVR7RdwU+13A418F1CPw8rNA6qjR1utMtFUjWYNQIL8riG82lClhyxPiFbj/D8D8zJKGK2bMHwWH7/kgV6E45fnPKuTLFfV5wvQxtkQ3lH2ZdxWs7xT7T3bINSJdInQD23BaT93DlPEsaPT49T1baYbdAu0MzC9o+xUKXL4KeP7zA+nXWTFt0gLR7b0i35dOXlEh+ywH3B8L3h8ueDof2MXMEE+pQM6CmgXpmc/Jtp6Mbbz9zf4u4P3hwiSNJ48uCWcAOUe8rDM7RSwrqlKEKpeAWhno6lyxvuez1SVYIolJhXzfEdx0ZvJnf1BsbygmtnxgwLh+VaBTxf4uQIrg8PuA8m1srbxgDKK2PjIwPQN3vy2oSfD882CllxSaYjkCx2B6BmIClqeK6Tlje5tw+UlqbZxqYhATdmD9UrF/lSFbwPQD1Z3LwqTK8YeCt3+b8fSXC779L2gv3/xNxGwCcuWuQlOFHAs0BwSjcEOYwHBV9H8gkPuP2Cf3NaLlWVTtmaofe18X4LCdDuDHXt5qEodsVwtwTfRAYfRO7bL2dNarObCGGLgRGBz8FvzuuA0QXj8n0DJGaplbKYpQBJrHQ1EgW4CiohTWOLX2JHZ4jg3Kb5AO+L9pld1BbuomdmAEACUJtAZsMdnjMEmQNy6MsNr7a/+ONkUBQwbcMjhJmniY93aFZxGB5mjSY32N8gzjOtJ+fS04GiP1Fin/zKlB/53L6I+vHVHJ9jDaM7rATY3rj16OStZXq/OPvQe4CQLa64efdbEsGVBndwj/yGWJHQhrBmXcP/5sxjy4eZu3dgnav+PHEMDxqhWoAe0NoyP7OtD19apKuvawhrkfqZhZqzDAzQxwxWpZWhKnmFOeTThuREkAQHwfu4PZUS6AioJFBU+XA6ZQ8XRdkPdIefzN2iLsuKGxNKemzYvYliJV8wY5b68BmlKZj6X//cfWxuuxa2PdE3Gq/ZnhjrVqS6b9aNuf19cwp6T0on+mIRk/+jbP/FtW9jUr4j/6HPI6aEZDQNVR6PZasyUVNxR8v2cANwFhoyh7KYHPTbPdyjX1I5uo1ZjaHmiiKze2Xfp+Am7PIw+OG2OGdrYFj5lrWSdm+1W5zmsOAxLblWXHFjEjmnZjZAZb7+8PK7GhbSOatpeIECrWdTKmQmCP1Xx7Xtxcvo/9sSazIxYAaxQKyr2a1/EefTxdR6AFAW7Pfsz2+rzWyjkADGlHD2THM+D19/vrbiZ2mLsfYcd4Mr3NGTguGv18fXVmBOPD3Xz+uA74M0eDR/vk4oAuwvjZuA+f0RKBzpCoMijjc4wbChs6Y6T5SX7L1Wpw3Z69Xvqj1gTQNBMg3Eea+nz6nPY5HuyE+VQownpcC8irCracsO+RpRzZAovia3uwry0R70juK1sxrHVf7/ua8BwWpFSQwkTNkjWhltjaoYRNTDFXb57lM/M0lnaFPoahtaoa7M3AXnOWSht7Q/HJktDuQ1alVkGmDklby6qd+WBz4roinJeuiH+zJobEU0tmu122y+1Qu2o/10LpYBIsEY1ciNY7M2IY+7CxJOuzdSvmA0r/Q4SXQW4AeA8VqFskmOUCm76uRn+22Hlkon0IihCUOWLzQbkWnbngzybD79DElqDAlhNKCZiqzashfGQyDn6I+yQgmrnfd5sg4/yDnwEVbDWiDKU6uQS87DNKuX1OH0fxc8Hsi1TpiK8CUgQv+4ycjU2qAIqgbhElFRQVJHX7LMglkC1RAv0mADpX1CDIxkSLq0Ai0VnJpHVTcJBotos2NUHDqKRmT2oJOUs0WYlZe1yfO5uX9lw2pi5uFTc/P+18tj1WrGSizDCKs8JbqAKG3qcK3QVhH7rJJFuTu53xAqiw9VnTqijozFD0QL/do599f8gOv7r+9CC3VmCy7FYMTfGyBZLuS/sgAZCVGdH9PkEj2zu4CI3XZ2mwBVSkUXW8NU2dWY8THHF1o5MVsbgc5+D4OZ3IAwR7j0aB3h3gKosAIKFww00mE6/a6bBu2Ny5M2GDmvqGb71yF4XeZR5uawSqIOVOhYkb5buXR4qpuCFmE3oAAiRBryEJVu+zCHQjRUGDIN8xa6qPCdn776ogZTbjJrKlTeafRf9WM5TVKNHR7psHwP72AFE1QQSgNOfAxqgq0kfttR/a51qrsB57QE0BdJGeXCC1suZxz9DDDL07ALWy8XmtFNOZEsd8Yv2TurMbQ0dM3UEba7iKoh4n1gBXbYhOneNNTa6j1FDWLDSBKl/TawFKr+FiXVlsFF+x2jQ9LujKvhV1SShL6v5UNaqTtQVqDoehRpL7gdnQU99DLiClShRtH+qWxZ2j1L6fPfsGxPp1sDvWlfrctN+HJhrnv5fMmj0NAslE9NPFfp34fVWAa6Sio1yYrU0vzNxNj8D0xLqO6czaknQuXZSj7SUezqw5A0WSJqIF0yfbZxvX+fnThJfpjnZhFyST248bvytdYOq9jlJ0OmBZYqe9IrCNSQUgkZstKOm+Uj/Ps20751yEtap+3bRRsRZNvmas/UPrYTgGuADR1RC4ti8XQAJknrpT7uJPU8LIZhgvlnjgxtHkd6Cf7Ob4RBcyy8UCkQiZp/4egMyc6s8Vm5CTGh3SHeVqdWgQQTlarWse0A0JZp8iOkWftdHxTPV4R2DHpGUTorPnrMtE5G4tNywGKUqnzlvavGJyvBYOa8GaZ7FFUE7TZx5z3Dh4+WKOVxBICchVcE3UOdAtAoVZ/fmJyKq36pgfPUDne8c6qTYvACAMjPUMQKXVdJbzAWsCk1aGgBGFNQR3uxXM0ejxGg8gZ0jUyBoxMYdCAVQTsaGa6ysWi32Pi/3pFBCshY6czS57r2fV3ibIanJx2SC72h4oFlTOHP85QQ8zkzm+P7ymNwXarXHObH6ooxD6ugBYQ2ysMFeN9rWzfKC9Zs2l9M8rFgQM9jw+bfRbJnLy4tMKPU7Y305UVb6QcpxPEfspdFtS7UwWir2wIwFti9dQahBEE3YUU2LXIMgn+i3xnJGeVpTTjPIwAZV2kf6DoBwi0kvG/Lszx+E0U0V/XN+VLQ89ecF9zTXn61oT1/D0SDQTXx5QjdlUk3SkcBdIFuQt4grgQzgSwf14BLbQaMPpTA0Rb9WiYwwQYG2XeuDkSUeYsAzRN/pOez5gnRdcThR20yz8riyYnwLCRnRqfuReKpO13ZKEscaW476QXeJte66F5yrM7wjAdkdNEE80xGtFvBbzq3pQ4udvGJLJn9X+KQX48kNi+6mnlUjxdQXWDXp/Qn1guYEHwvVA+1kPCeGOrYeCn4PGJCpLRL5jlBCvrN3Ox4AaQ/MPKXLGUefZZj7Nupng26tbddEvBS5fRFy+6YBG2IDTbxWHDwXr24D1Hdd5eTbmk9mh468Tlo+J9Nh7zvvlG+D8E4o6lQNrz6u9Z38gBTm+BOB8xOFCX6BORPjqpIgrBSKXD4L5cbq938p7ix8mfLe/Q7gGO6cB2YG4MyFRDkDN/h5pSZf9XpHv1Zhk0mqHda5AUkjkIP326YHrJRWEoPjw+wd8fEkc6ADURbE9oKmrh81qS+9MhGkx5JHCyQjngF//zdekVgNEeT+REVh/XvDu+ES1cqlYa8KnTyfUS4JcA9I1IN8XpHcbRBS1UgAuf5iRzkL9no+MGU7fFrIv7hlkejImXoH4wlarYQ2N6VMOuNmXfqUL24dCgcuX3DvTk2J6pkrz9pa2ZfmEASwAnn8eoH8xtwQDe3Pzz/a+QqMiPQcc/s2CdAaO39Kv26zG+/JFxH53QFkE978gs2R9r7h8Tdr0/d9FlBnYH9gZYnoy/+5ZTaiXPmXe+x79Y9efHuSqq8ayBqy1rvBMrDkgY82ho611CigHoSjMakGAEm19PSFSlcIXIsDchUVkFIOpaDWLAKwG1BxGVRBasPeUCshkdSqWARvRGq+ZeI34uA8p7sQA1ZWj1X+u3ExJ6YBsoaEDfJae/afY1K1BdQMNALd9PHkICGgEnP4W3EaoDMEy1dcogIGWYa5JIKLmzKFl1FrD9KTNOWq1SoHP6E6RVEUMAT+qOBxgSInRa1+jvcrEBPYM3Ywq7kHrtpOm6ZQ4ex+zt5YRtfvx1jg3NZXQth7rzIQLNvtZSqwhDArvu1kOPLx1Y21en2MG8DdtMkbUq1ag3N6Pv0/NuQTQ6PaaiUa07LahYAB4P6W/fxQPanU2CnOW6o2oBJkQtQX8bSyGwOEmsBoDpBGhdFTvJuusVhdZWy2YGCoRo6DsApkVsguqr++NzlK8er9QmGCI1UQ5Eu0ORABEhQnrYFm6vSIUdypJF9ICwGp19Ao0GrmA37da0mjjnmLNlr2gWgbbMs8VwWoHtSUQ2qg4GogAREsChPZVdJS9x63/2+2cidZopuMiKfW14mg8gFESsNGisyUvYuz9c33NOVqjt+uz3e/ra0QDzICq/cdRDZ/vtqfCQMsPZngr0Eo1vN+zB0We4TZ7VyeKw0RTmJYa2pjXyRyE3W2bJU5SQLXjx2vPbxJjbost6SmhAGPJQeJzODLpa9+F6hwJ1slGwROU2j+7qdir7bVAirWOf++gczwBxUpqUGydb9IOXcDsuingen/zVucKe34fGH99hvWMFgaVldl5bQkxkDpYmBHvLTQ4AUS3bDKCMEHWUMLQgm0AFGGzwDUYotXskFP3Q7AgkYr8mivCaue6l58Mte4uFCVb6CyoXBiku8idq+SvgMR+HtzUwTqi4PspMkBxhWcVR/gJM6hIO5MAMHA/M8FdD6yhFkegtfJcGVsIbTsQF1JNs7U9cjErC2KhPC/zIbQ2J7wXtPkMa0bVaGUC0s7TNt9VKYAVBVIIT4VcKcw1J1vbArmy/Vs5MrAPuUIeX2hvTnMbi7Ze/ayot/dDUS5PehKxDBsTRGFfPCPSkiTO1EERaAkoRbHlhG2LwDUgbD1wCru02rlhGcNruzX02mIyRyyIToqaxeYEHe1Lgt1yjpKNdZYF8SyIO+v00sUCidmS+vZ9SWGdKIASAhyhbqi+j0sU1BhQl9CAAjXghfXY0s7ruNb2c7Hk+A1zYUBkmTQNBJyKWglIZZs3C2pHRXMmKMDkcAqQUhFfNr632Gdb4sZR/GZDI7hfjXHnZRUNcfY995ol4d9tdqQcGEyIEg0MmSJtyw8r6nTAfq/QnXatqtWqgzTV+18XC6poC/O9GuKLhuJ5oFMWRZkpLBSvPJ/TheKoNSl09vPZfISLQhPptjX19RivilBiQ2N9TXFtE9ENInRxhuRhmcHvMKaNRkBPBdOJavW+YS7rjBAqkrVAlJeE5fuAfFLkN4U1spOhpf7dgoY6OuLs45Augun7iJq0Bb6kOwu2IlhSRoBChD5HvSbIJSJeGMSVk2A57LwXgOKGl4i6JaTCIC+dQZG6rSLsE4qVCJVJWikBQF9IMs9xR0hHfUlqDKC1EMoHxifzE/209QtBPiqm2c/8Pr77PZCPLCdLL7efW5cKLBXyKeDwHffv8XvTsjhOKEdBEW0qz4cf2DLq+hVQHgqml4T5UdkD2+KZdLbAdkUD5/jvVxmdP3D96UGuOUGOsLWrOX9EiPwwZV0rpa2l8sahdgBLP5A/o9YOQU7YifrKNdthNdT1OO/Ma2u3TNTQ+/BZ71EP0Jqaqt+7B+K5mqgFGhIccoUaCihWtxNMyIUZc2BfLQDIAr1M4wMwC19MlfDZWwrozXP6GLnR9rEIuzWOf9S2YDmG3kev+8FjKxb1xa3uVDEbXU310H/ePk+ECn4juuK0naKdUjgKFo0HgQdpboycbtYcd7vJFCGVCFV4YsZaTwcb+wK8XKyH4rgznR5pgg3utPh3p4BqAVCwHpHlxFrFfEwtc+3jEkyi3bO5sSjksjb0TAenSK9X1mUHAab5JogRDL1x/XD3QLPymZ190FDnP7Y/fTwbLcrWfhmet6FTpTlvDWXeXSXanMAyzFVKt98zBlXjFQRSKzQDYSusharA8klQrrY2q6BkYA+O4FKIJ71wjafraJCs1jJbv0oRov4D4g0TRAm7C7oJoh0mXBcAIJ2mWPk+Ssprp9H5tAnYnsjH2pfobO2ClAmPpl69WS3nMDlNudRYBABaTW5TpR6R8tfzCHSasidNnAapto/Gq6G8oe+V1wjuq/XRAsMI1MN0Q7f05KJgfK0CMfL7tx2Q3lWdiryGVNta0pDQekOaNkHYFdM5o8aAfLI9tw/JolfrW8x2IArq0RSbLbhtCO2YCBvGQ0D7oUsyheyd/t9aQBU9/8oIAbUY4HNjegrtqvZ9UhGisNWVBQ0aTU0TRJJU+PHVkpL1HCGVjptkWDsDbdoKYzLU0aTG3IjSxk6SB9L+rIJ0AR28guZUNEqi0iGYXmB0f74u7h54deaClICAevMZdTLEvKGLemtXfS5cE6AagrtlQ7+tL7Kjr4LWEihshkaNommemLHXy+4tjSyZY+eBAMBmTrq/z89yEX72zmQze+lGNLppUUSlEFBrTzWFhvIyOTAwfmJE46QDVOROGQrrB51Y60s7xXtpwY/1uS2TO1727yUA7xbUSBVwP0M5MLSRdRLosaujh93Om8NMNPjFEvdWGuQBjgqgd0eOYVEEFOadamcDeZDtSU1HLT3Y8/On3JGBUI6hnT/sTe1Jb2B6FuQyQcOEc1zIPLtKS8gTyUUT0kqXSurklUmdsgTkgycctNMbK+z8giWW0RkKlYw0KRHxKpgfe2Ds1P/9RIqmU74dxaSt7/uaFMoehCYaBEvcdIS9ie95cGjPIKpsvVW5pvKbhe/PFaLREH9tybiwZiyXzPE+TtDjhDAlYJtZA25ty3oN+ZDIg/kgUwQmdJBFyLLgC2wZrdZWzZHzap0CFLfMFzsTwigAB+Dt31XIAbi+5Rl9+g27gewPihwF13cBUhfsd9bRQ3jOBsvyuHjY+iaw5vMLozJvTEZ4ycb0gpYY9O4IcTW7NgGXrwV1UVRTOt4fuN7nj4LlkQHpbHPlgIuvhf1ecP55ZWubszMJGIyLiyZJRyzjyrIMKbD6UqWA4BahlwRZA8qhQB921JpQnyaCRwXY31R2SUkKTYo8cezTYyR1NxiabcydCqA+MLDLwkh/zEeTvqvA44R/t/8ECJaAzAFyjrQHSZEToEFxORtbyIRl41PsaPTXvMfL1wtcZTrs/A5PPkyPts6dsGdIM4U8LVngrvhmdfSxs5HKQkArXoDT75jUcoV4LzVgizai88fva0e3J8H6PqGcFMsHag8k06VQSxTnI3D4Djh9V9r9bXcBOgHhfsf2LkByt9OhJTUE52+AOvNe50dFWQcw7I9c/+Agd11XrOva/v34+GhfHm6VEUcHDGgN5NvEC1pbCG954BzvVndr66Jzr3vA7LQmASDrBtl20ltno216O4pVAaWzI9eNtLuHI1ySXkPoDk81PMAzgUbVdMGTOk10+v1nQSCRB1MwR8b7zjFzJa2eyzM/TrWgfLdifqoUIMkd9QbQkFMA7UByClqyugpXaWwbLbphuJ0zd4C8biYUKqQBMMW7XmPg2T4eRhgoQej1DG5Yc+1KpzDjywJDNHXBUumwjGjUgBRqsp6KpQLXF8g0oX75BpoC4vdP0Ge2CfH2E7pMPaGSSPFsDodvhIUCYt4aoy4J+WQ0odk3P1ERb8ng48wDpKJcztAlQucTMroDXS8rM6hBECQAsD6LlQtVDRnC4GDI2CLlVeLiRn32xxA5oItXtAzyEKz6YTkiux7AGJqI1LPJDa11wRfvOZwiMJtAjX+Wz5UqA7kAhGskMg46KzVGWz+s9+BBJ2YEqQAaBxQ3rBQMga8d+qEMtLQnaGBzlK4MmChixLUaWr0daDtaLaetV0/ADIkbp7C5c+O93IIhjKR28sBNFcBeOrLk4+bB6zAPYnVavfftK4R2DNg8wB1ZJxLa2mnortYe+A7Jh1bnNa4Tt7NWC+nqxuVANICZXt57S+QN+1aDopQdyAW5dLuu1xU6277z+TcEqSZBXZxVwtYdcpia4E+9su65IzxugOjwBuu3V5dowVqxQLq09dmSQGPSMaglGkNz6lpywJMBbbw7MgdVtvDoo8b37dX28ZB0AtGSkDwIIMxVsjv6gnSm4zQ9cZ3PT3rTS9Dp2yqKcMmkw/u4ThHlNHMc59CShtGWRLwyhqt7Hz/er9nhwn6kfQ3DgmT7/ASo0sGEjuNogYyiCb5xmIYvcXu1FyIjwQSorlYakaL1TPYA1g8h7eUT9pk3bdYc+TWRQtY0Gs05RY7XukFzhsyz2XhnD/Bs9lKDamI/Kl3Rm7VbPO9rFATzM9g2TJBiRNWMCg5URi8lwHWDpGyJwE4FjmuB5IByCM12OGKYTdHV1a3zAUaXlRsFWa9Lhd3LfhcMJSnWQiignibIXhBfdiAK8sNsiY9OldXT0tdsBUUYQ2itnaRUtsjyvS2CcpygBysRsKAj3yXUSES6Ru5L91EKfWqkZ1IiR/Vzr69LV9CeW5/fsFOEK24V6WWHrAXblwfsp4ko61r5utbXl9+PRZGPvR6YFEs6rRS/4XPvRzrVNQH5RERvucLUWXlex42oo39WTYL91Peul36FDDhNWQVIG1qyx5l/wVgMbCFYUb44YXuTyFoyJeMyT4AA00tGPGeEyw759AzME7afv0edA2IKCFcbtGzJ7yOTMnHLrXQK8ORTtAR4YGBhPa7VkuIceyvRi52lkvbafB5PXlUpKPkKXYEy2PM3v3jBy392wOV9QDor7n9Tsd0LtncM/ra3AiByrj348ZxjMZ8lsL/t/gbIX3APxd8mpDOFJdNFm1ZAr1m1NXNh4LR+XaCTQg5keZR7lt7FC4NHqRXp6kaPAXa6VKSXgqe/mPH0zzPiMSN/WBAulnBZBelKwMgZRQxyGeiyvZCS5l4Fukakx4j0zGepp4x6TTj+OiFswPUrRXmTyeKKDEbjVKnE/EyRwToryhFM0KyCAAXmivl+w1YXFFcDd/XmmcmZ9BiQfhfhdbMqaFTyclTUuQIBqC+sfRRT7p+eA9KZKsrrl5XB98z5P/x6wvyIVhcrhfuogVZi1PEjmZvTlWexWjxCCnBt8UE+BDz/jK2Clo9sa1qj1f6G25hAg+D0XcXdf7jYMySUOeDlkrDfC+YnxXQ2cGOvwEQWQFkYnB9//QKEgHJIACboJLi7W/H8LmJFItX8qZ9hGjg/+esd4VNC+TagXv6A3/zq+gcHuf/lf/lf4l/9q3/14790Zw1WF+XIk5haYZDW+5XUOwBqTqrVq9AXGkRKLDjTAGY5ASLCoGMKVciUOh06M0PU6m/3Arlu/O4Da4NGR29EUNig/RYVbHWfGA5U/7dl0EJR1KL0NwM3ZlyVh4WBDC0AFjTaBfu98d+trmVAE9wp8cxhU5L07KNTPIFWl1FMqhv2WSM9QTAYHyv2hg6U8OCBsjmkEyxT5igcTJ0YaD0JvRVLRVct9SA7FyJA89RRwjFQ83F+HdwVUjkgQic7sibQM/+exXf6cqtBhcJ7x/F5pBkZsVjcqeVBpdPmK1/vrZJ0ivjby3+PX3z7//psiYfDjNZPNKUh6O4OtliOpo2F0dh97jRIExvxWj0R/qwq6aNSKrDjc4SvISSeAdH+xynJ7rh6PacJrjVE6/V4W2ZbXfnUg7lcjGoZGnpJ9fIIVzGMmyJdYU4tnzOdATEKTMhguyBbQ+2KwrpXXyseTFe0zHpbSsJAmUkIOpqjOIKLGbR6Kvv5j6HkRKIsGWGUL+9D2V7jjoSLo7kzLwLst0kJJsssszQkGpoSsisol9qTDm0MBnrwmBAEaA9NQG/82Y0o1RhER1gv3a4Q73aTgU5AXZiMoV4Bv+8X5/8Bf7v9D58PVBgSS1MClpntSYwV0OiISdrPvdwieAAt6KyG0g/FOqEFQUFMY0G4724ydGanyQJRK03oCR6dp5vXNlp55fdKNJvfkMmezLpRCPc2H8bw6dRwQ7rUE5SCujMAlWoBaeZaDyO7JaMLagDQsZ3UyJbwI672v0NmrsP3itsyT+i0RCRj73aWeALSa6UZnDHo9TIaJgak9Yz25HFrPVQw2BJDMj24VQ/cxRzranNm56nbn2K6BuNazoU200V7fO0Cfd9NiXvmtVK5PbfbpTDUX5GSG9s6dNSWbDCzrfZRv/j4/8QvPv7f8frSe6uZvG7UVZiTlQWFm/YtdTKEUGnPmq2qaIiTO5SAIQ/a59gvr412FprTlF+viRpZUiN2jjXq7E1SlL5QBRBMKd6DdNEheev3tNucggG6RkFe+IK4UjSzFvRA3X1LS3CTmUN2zXT2ZI4lO1MgtlFN3Ggc4yQo1rLI12y6um3qjjjMR/Jx9vFgsKXNj/JxVOXaLjNawodrwcawieyE1sKk9Wc3XyqsBfGyM/l0TGio7W4Bb2Mgcd06M0xKbb4CDnNve+j3/Rpo2HtP9Dpb8qFYNwFPGgHNRsJZCYHz3/KfyfZukLYv2nhEwS+e/jv84of/Bq+vckw3rShh/qOv0bIQKSUaePveOoOKuSczzwFIH+jzxc2C9UiGQ0SnLEsGZOf/VyMFxRf23/YS7fgUWyeEGmHlgdLGkm1vIvSLiPUd9T7KFnD8TcT0hObvSR7WUAHFqDzYLlzjTI5HBpdBsb8xH/j7BdHeX5P5E08R5a4iHPZbczQr8qmv4wY2CRCeEzarJ29r14SSgrXw9KSNJuU4B0VdeD9hC4jnQGaCb6E2XxyfOiv0UBh8J56J5aDIVifMfuH+7NYzNxht+dEC7omf5/6ZCrC9iSgTtXo8kE3WCqpM3Y6q2P4MaEmiMgHbu7nZX4383HTmXiO6HFEO1FjJR55L61vB5Wd3KLOwv/YJCBfF87d3SB8S0egJ2N/yTD24AJ0PSbS1OZ7lf+T6Bwe5//Jf/kv8i3/xL9q/Hx8f8Rd/8RdoAjmqwBQpFiGAq2N5xjgf+LBS2VzYg0SKXXAim5MKtIOmITEJpAmr0nBY1lxmo7Bd1kZ1khAo0/58Bt7eo767A1SZ9ayl0/8GZ7Ex9lJEE/KJXHThYrU+y8TAJVd2idFeO+XqZcujUbCBjlC542mLMV30trdZMNGdUkm5nb1NkRlky2iHOUBK6MEpmBWhwQsoRgNyh6geuHDjSqQh7GpBA8dXbcEo0LIsI6V2eubrZ1QWqFe0BAMpnoEZzcczdEqo9wtUBGHdoNeVxn2sr1Ulsl4Hx16kBQak2bJNhRwP1v819Gx7o3UFIFhtQwW8hlWjiScZUgMwm4wkyHfW400VyN3p0CioJ0OpjhP+6U/+9/jrr/53wJ6Ry4r/6rf/V97b/T1kV2ipkMOC8nCCt3MYL64FHk4BROvCJQ8HWwDmgHqMFgRwXMTWOVs47Qz2/EBz5xuGjKt2pzEXBlHe3sivEIBSiAxa0HKDeDWkrHSk0IOIfWeC5eGutXXyoEtyhAhreeIeoEGbJL07z8EMbbpUE/UaHCOzD40RADRRLtkBpIBowYmr6mlidr5GTw6p0aEqIMxAOoW2BdS+D3yveDLDgz/leoEa9S5bgslRxsbasGcb0VxPuJiDI+cr50CE6LkqdN1oa/bMOl0R9msNAqddohQgD0kKgJ8ThO2FXlH1HZnXFDnfxpTQJaIcUlNGR6BTVIOXK1h/RqeKl4K/lv8M/+TufwFZFmTd8F9/+L/xa+ZkYlMRelpQHg4MaM35cnGRsgRIYbuk+eN2c5+aKI4SzIYB5hDPFpAEitjEM6mr9c5QrL0YHZm0ViayJtpzE6rDMqM+HGiXr1tnOxS110dojI0SHZ43yF4YcCaq3TvN0YWJNMys2Uu9lnB+LHTGtoj9bA6NK0OaA9OYCkVbMieeh73urarMsbtRoR2SMXEHa80xZsqHAMolKOzf8XXiCH2d76dgAoL8WSjA9EJqKZ3IcINkxa1276HaXvQzeE79fK+wtaPQOZECq4rgNdDn2pM9xnCRzQ7VPZvWQuqsES9ZOC4sP6n9/V7O0FhVa0G09nXVWlnlu4gyhy4slwT7lNBqTSuAKPhP3v7n+Ou3/1u+p274r/7u/8Jt9vUD0vcr8PEJOMzI95OJ+oTuMFa2B1zfEDE6fpsZbNuZn+8ig8XBGfbkfUvWWyJCqiJcGViV08TylaoIyjpx1ouTIt3qpnfapfTEOmtPMmhMyIdoNdxTX18iCFtBuLKdTLF2iuHKBMRk+iLlbsb6xYw6CeIuqNEoickEnhYYUkU7u3yqmM4V8VKRnvnZ6/vZ1lNq7W0O3+6oE1uL1UmQj5HJc/NLqJvgwZmzn9CYaNu9Bene73xDT9J4YqACIqzjq7Npopgz3ui8syBk7oO8CNKqOHy329wBKoL0tCL88IT6xQMuPz3wvNkN1c2KaG2e4qcrpLBEAqqob++Q72foaYLMsfsZxfbRq9IfF1ksdxPKFBH3yhaSHvQKzC4r6hyQj36Yun3wYLKXl0WnovuSmyL++uf/B/zlX/8fkU8Tcl7x3/63/2cAwPWLmW0nE1qCi8E+a033B8V+z6ChHCvCKpg/8Vzc7xX1WCHvNrx7+4IffvMWX/y/E1vEvLf3GIpYV2nJxrjBkofA9hYIG3D8ln7lfkef4fC9YHo2FHpiT9j9wf1V2tjLN4LrTwtkF8zfR6Qz8M1/t+Lw6yec/+otnn+e2tnORAb3bVx7e6ty6FGaRsHTP61If3ZG/s0Jb/6GjIjr16yhnZ5I0T//mWD6+gyAavcAUB8y6tHow488Y8tCW336VUC8BqzvKbzkIm1xBe5/yb3z6Z8knH+mFKu6zwhzwds3F6RY8f0vvsDx28AyxhdFTRR+UhO0rTOQ7yqW9zwkinWzyG8i6mTqxZuw5aaVI5aFzz89KuYnxfZG8PLn3Nen37IN0PVdwNOfB+z3RNrDKnj7N2Qo5aNgv+eYOk0733Ovzo9kV+Sj4PGfuBAcx366KJaniv1EenuZBdsbrpFyYOzx8ufA5ScJ5ajY32egCo6/Sph+FTB/VCyPBY9/FbH/syvqHjB/XJDOZv8UbJF0L9D4I2jGj1z/4CB3WRYsy/Kjv3MHUPW22B/ALTLrWeTXl6plj9Gcyq4KJ6gYFBa1I6wtwzzSYT3bXCtQy40xuP2+iptep0Papgka+VXMCVc1tJmfoS6kY8Gw11nF8MoBsSx7NeSwCTcA5uwqja96Vk/7719/Tvv/2995+xV37j3j4vVcjf49BN2NPmtzM7YSYhCAJqCihjiSgSifoyItgDKnvbpzVG+SCTAkrdU6BmkOu8/NzXw4UiPK5VAUQWpDi0SlO482J+1+bgYPbRw8A+diOp7pVBHEkOgEK2CKR8MgG1wULNjGsBbTbWZ2nHeAbxP/3vE1BlmqzY+3ZBGFBVOe4v/xddzGqu0DoKvjAp+Jg+kf+Zz/yNWctQzoziykMxX6Z5kjYgJqvT+xf8iPf66Oz6dgDak5mjAKkAT/7B4odDEKvQlKfW2789/Ed2xNO2tCKlAtA8vly5pGp8TftLMar8o9e5Pu9URC/fzl/WHDq/+3Rfl6vY5DqmpsD/38s/0ebP26XejlB7a/nZLvb9MAkQli9Xf9nroNcmGilsgbXjYmCzpt3+7RKOjtPuD30tc+919oicLXCMiPMj1u7nFIUg6vpZjMsMcCGgun6QOMtgXo9YuG3qgoXPE0ZEVa+bzV7GswdNr/7sjBsE7c6YZ8/iyKG9vZgjKgo7O2poGOwsgfK+S3Nc4+xegsqIAmttPqCcEknEBvEj6S+nj86KXa6/vH/epjGkN/zeu5e3UGwNZWKz/JoOqpz+fAUpHAc5djJc1u97PK1/jn9xsksTe5yK3zYXOur55lTIr5d7a3CWx/q7GjFC6O4oEc7HZqEsgU+h5x2271xk1gy++tgiKEQGOsfDZ+YfwbN2eu13SyjnsYv0L/TLxsoShcTFMsmA9W/F3rsFbVk5UY2AR9zBxk4Dzq5wim3/9oWkzDpI8z17d3v5OobW8E85FaGy5P+vjcWHK+BX/wOYOx4Rgs1AQq8Jq9IhOtNu2V0QYA4HP48zlzzl/nfqExCx2J99rnH1Nhdt8Owzi+vrylUbPZbV2g+cHNlzDbpL4mlLXYsiyIU2QiaRjzRjU1389Vtb0mevxOlnHZWnR/qQjrQ1WIPs5cK+5DmSVGax9j57EzU3RgLULJggEYJKXrKz/bbFadYUkShR4LgNjaEfoecqYQB8v+tjxDa8tpGh+iDHwhYNLcnj1kbbRsifRrvC/zano6dY+csxxsbYrV0fo8oYkHuv/NceZ3kSHga1bpz1Xpre4wjPVgR9KVvko5AmWmWNdxoXDWVQWKgBqN5VaBOilCJosloO8jwOfcZ8rG2JlWvrwT6f/OdqhJkI+CkHiDZZLGkHDbkCdLIlQgqTNa+dkuhjWKdDUGnpV7AADmCmSWc7SaYUeFY0EtXpNPYa/8koyBSf/zH3L96cJTpQDXC3TfISkC749Us5tp9eLVRCdcYh80/hIVsD5wzASWVr/SAi6fBLW6p0vvGxd2BlAUjQiohqyFdechuxGNwrazSbd0KnW4bkQK5sky/D3zL9dMZDAafSq8ckDdicugUJEr9J2SHWTcuC1bzzfxs+1ZvPk8BO2AzYfYqH/TJ2tV0tDsCIlqrYRsIXm23hddtkb04g6O0DkT27yFRnQ/hf7+wI2E0JFcoC82yvYr4iZIi3taNKzTc4ZkU6SUA7xXnYt4SIqsw7qsFHE6zoAEwOqqdd2IRk6JAhs+tsMl295UZ/V0oNO5sh1CvT+gPJhQ1c57krUg7gXenkRjaHW06Vqhq1M7BOUoyKfQDL/Pi+yZdN19h9YevenlAoSF6FqMTUiqBRiWCOD4dWOC5igpyhSonilotdzFUMheM0rIqFaqGEu2uisXbHEn0GsOY2iUbk2R7WHOVyZ4jkdrCVN74sH5T3GYz+nWDEgkAq0xtKDB5ye97BZYTu0w9N+F3INZF/IIF68PDo1e1ObaHQCAwYdT9S2wbA5NuP1DqiDXKxE1PlOdrc1WdEe/B7luoIkoAk7ZkkrRlbSqUfIqarE2VbkiXnaircP+b8i3P4cqXF0e9hwyT0AJDWShQ2pBsFagBu6ROAM5Ez0HGhovTvVXbUwFlML94y2AgPaazy5bky3pYOrBTqHVUiCYWPceXomRXVcyFpaptS9rv67aFBzrJEDimEtRipPtpdWRqTEoVDq673RBUaC22sFq7WcGR9NRb09kGkPH+3Y72ocYWhsbyRVy2Wz92hjYvHgJgSIATY3e7PJeEFfurxiIwG5fHyl08lIwPbo2gzn/1vbLg3NxYTVL2qlwHXhQ2VSdzQsPe6Xj6GJDhl41J9QdRa8593PD9lsLomqvcy4z130+mjiP2XZRivdQuEqbWrnPibGPsb9bgKqIV7b4ElMA5jwSucBuDJKLIlkNqNNkdZ7I2tl2SPFWPrYnYuhMCKUOgB6tvZAnBqNAKxHdVgvcAkGj488R+S41J0jUnLXB4XSHVrL2/qF+1V4jPf3mAx1X329OK4XtG3MUw66Yn/ie9R1bWsxPBWGtCKtiLtUSCx09p20S6FtLklw5R9evecDOnzLSs43RYqJeOvoLQNgqpue92WGdesLJW8q0PsaKdv5qjc0cxNXKULbc/BS4iOZmKuh2z2lVc7LNhiaKybioTciCLBEaKciULkOtaBTklKCnTt2VoogbUa06CaowwE0XarBc35FK7Ar8uqPVv09n+nmeYC8zsB845x60tQBHeqDmvtB+h1a3XO28l68mhF1x/P3GOugA6P0RCAHzp9zmoLWSzPSl6sHYOssEFUG5n5EPkfv9SmG2sG9w/RZN4fPEaAHi88buZQHwumovYapJgHnocSt8XU2C9S3LD7wVJIVVU3t2AAh7aiVtztjx6/JlQBJBeiGF9fKVdGquuj+kmJ7YDq0lxwREB4Ng/7Tg8W6GLIpP//kVWgLSd5N1UGCP+joB168IfMxPQNgUyyfF/FRwfR9x/ilpu3e/oc3yrguerArFzuVFcP1S2ZrorkJShYZg7bGAb//XMyBzSxikK7B8qM0PcfE+IuOC9UtAduDtD1T6vX4RcUknpBcGcU7HxwtFsuKmOP1aUH44mp/cx1kFphRNMad87D932yNFUBZF/nIHtoB0ScgHwfZgSPkWMP0+ocaEj2sEpoq0mSjTHXA5UMDz3d9UpGvF9/88YX9fcfjygv/0q9/jmif83cf3uG4TSlBDWAswKfIlAIiIq2D5QL2IyzeC579yij731+Ub4Po1X3P6bUW80HcMuxirDbh+Kbj8nCh6vJo9lB6oTueK/S5gfa9Ekq3V6+XL0MaNfhbHq4mTbWQBTi8FL98kfAwzE1Iz64e3t9zz+V5RrhPwknD4XnH8LmN+DsiHgOsXgvPP/2EBLvCPEeRaTZ9uO1odoW8Uu1qGy7J+rb2H1Rw4SuviJr1eo2c8RYV+uaOgjmq4cTHHXC6D6AhAx3C3tjTeekSVP1ej/0VTwQMQt8z6u4geUHz2zOaE52p0o8DaXKtxbBnQcntwdbVd3DiOI6oI8HCqibTdhqBiyGK2QNaSBgrIVhsV2R1BIsc94G69z8bAIbrz3w+JliCLsPHRRmFmIOsHizlpeCUY45ROVWtSHvvPkzATvKI5iu1g8dqjloWuTJ44vS2EFoTKkb3xbkSSSiEqNTi1Ti2TAggUdaBIOSW+o4FA6yU7OFkAgH2HzjMERFpZAxRaMsYTIU7NbRlK8XvoqHGjYA2IBDwnqnQK2OvV6nSv+XN0xe9PnL5NZ1KNwYDafycAfzY+k9d5DghLaycCdNRAtSN9FpgK6BSGKBgTN+zv228x7CYq5Fn0RmfoewgFlh23v4N0xw3oGe2+XdqegTmjwVuXwMazMRD8dWgKgWPtURPI2GlfHNUNjnAh3NqAVwhgfxbFDZvEXxujCbB58PbqIbxlkOpt3W5LnpjTM9b5OkJfrUZZdexKNIyPzeWArDbBvCF7Tsf+9r60VGDf4DWtvtd9zHySm2J+oI3CpQwIvqJEaXU9rbwEfW6rIekC9GDOx+7V2uSetrPgtbK7Cxzlvncl0cBxf75KBIxzpAqnlYshdKznPUAlIGb206yTAmp9Z7faklZs99Kp9zefb8/V1of/WkHar68HC2A7wwQ3+8jHxoNeMqW6zerBldl4E5FpZQQTXxs3ZtHVGA9qntlog8KrhA7tRCCybXaYQbs9U5x7kBpMGdN/5zX9joCp1f2LJVviME6hB9KsC3aFaOlJRBNAGxOK+uosRR0TA4obDYhRLf/lAp2OkGiJKL0NTNzuuP5ATaS+NlEpO+uRmQdvZ6XNBfuGwhRmeai6cNX0hBbgNJuroC/ky7rC1MPR64+NQTQiMKOdbKyLKPSFijFRXIHXVbLBtVRRITkCsZdPsWyAQfp+dxu4EzGyFjfnwns+RLpjljgnImNzUDDYUt4rUSJ7fWItpzPOggXC0drN0faYXU8eUPcg7KZO131O9aS1wtkNqoq8SFturbzJEEFXs+Z64pprCJclg31+q6PzAkPFC5Pxqgy+WrRVb+yX7AVSq/WgNnFKO+dqDLdr2Kc28Kwqi9PXOQ/VVKQ7Clq5TfwcHBDlfATSDqt5hpWkoc0PLF8SV/ZI1WAqxUG65oVyTaxfVLz74hmqgo8v7xCspRpr10lHDVmAT7yX+bFg+f6Kspwa6tvEiAr3WxNAHWpp6wyUuwpMFSKGttrW3d4rW9s8s0+5bny27ocM4xdZtxrEGJbXimQte0jXBhHd3eyrlQSki2J+NiT14L45x430XW1+3A1TzO8zKKbTjjxF5GNCvKIpNmMFvz8wyVtngdf3l0WRH5gAn14qpucMIEEPBcdlw1fzCz7KsbU8asd2VIRDRtVEUV/leKbV7NabSrGuF95jOXKe548MVstMdXNXThdl0ImHHXVjz3QUUqKDPaOfE3UGVLTZxLKglZ+qodlOP59emPCbHwumjyvKckJYA5FtYwmw57JCJ4Va27xgrVZD5nvrNOFc8blT+AeuPz3ITRFSgjlzcQjUHF1hnUs5+MHsByq5+IhWCwF0ClLoTmrYpdXdOPxejgl1iUSKNup4Bw9MrFZOlpkO3GFhHRB6EKUmdqFBGDAB/Byn3yxDj8uKHhDkagsytnord2569iwgWI/NpmRp2dMmBLFW1mb4M8so3lJ7SwR38IP9HXsbipZdMtqO09SceqfSabhijbLLRAn/MVvn2VoPdkFbDRfIQgXiMogCCIBibRqisO2KZfxZK23j4EFuMdGRLaOpWAJEcO11zUEcHVqAmWZD1KVUvj7GdliHrTR6Q0PeQcXLcuABxjo7U1ceDkWOPVpseeNUipD2M6IAAGtca2X9jc+BJQWquLN/GxSpKus8zUFpCO4czHkDXBQLEISkAAKpLcr1oFNkH8rReY6hqf4yeTLUmh+P/VG8nZDf02cCL33sbyhyIkQMVYk4OqXX58rQZx6WFtz6fhkD5DS0FrPE1GeiWrF/drcD0tEzsVouczqdxhZ2c/ob4jM4ZR4wmEO139sBHwGNRjO1tgHhKMN7gvUtrZ32V/t3oBpLBOjq1Z5keJ0YAehEh+kVih47jbytFdsXWtH6JpZXQYCpvOs8MaHhgcIwxpwTgU6GtBp6KMr6wrBXHD6dED4tkBihOUMHhAu1QtIEpCOROABNnTT2A1+sNpotirrTXqfYbH71xEIk0thq6ioP4OkFzdlBZFAsNSBIaeusrR1rCdeSV850AYBcbS0obf34Hju0x3lx9V6dTdSuqLVK6nMSr2yZFTYmjFrLKQBOORQ/G7Sv91a640FSqV2VPERjGfjeH1ApC1zSq95/reWJEh2RqmR/WFDjSrTbPceDiIF2e15hbVpgLV60OTQq2m2YawPk2sfeFI0lV2DrCRbemAUDu2d07byKAXocypo84LX3eDcGlpYMzn+y9awMqtWFzxo90YLgwXar2xnb8xTzI1U1FGD+OCNYjfxn4m/v3gDLiWfD3dJUyf18LRMavTUY3ZCdEGDJMrFawh6kAnYO+7ax9233oSe/C32i/DBD9trQ1jY+vgdMnwOgXRT/vQCSAkL24Mu/X4ECtpC5sg91Obo8cqB2hAlrkbapdFgvpSUMR0RUlLV5XgM+jntDji2AjlW5pl+dpeqBRyEbDKpNP8Ht8g2d2YLVsjCCLcsg+nUFQlTsZof2e67zliDyJVYBwNGn/jNXQNckqN53OPVg8aZErQEr9gGeYBGex+Gldt8TaEJ4ogpsmSJmp5l71BLB4bxDNqtnP6Xh3rQFaL6m+hnG/qke4IoSjMjGgPFyifmxYvq0tkTQLV0ZTMRYvWa68mfXL6TVetaFbIE6M7CNV9xQr6cnYH4Ewhbww+EdIMD0EhB2a+fypCirNN9+/QJYIQASEA7Y7q1DQun2bH0bkI+dKUCBVf45fCeoHxPySVFOCcsLUUeAn43kbElYGxwKn16+jNjviSwzUQOElbbu8oVgu0/IJ665crBArjIRJZUCXIAFsitawibs2nsTFxMYdDGpCGxvgGAu1/QsiGtAvp6QsrdWYjA4v12xYYF+MpX+R4Eak6TMfL5w4Vg8/mVCKBHnv8z4yZ99hIjiv//+57juCZ+eTqh7gGz8HDlH4BLZmnyhRsrlayap0gV4+JvI5NFK33N7w3F3FlCLuWJfd9zLAuyC6RNb6k1PTJQePrI+f3qJmB65ZpaPziri+L78NODyZUV6CTh+yzk/fxNQDkA6R0wvE/LBBKWMtadJ23xUNWBiUnz8ZxHPf74gXTjfdRYcfgDK+v+nIJeOltLhGzJSrvC3PyRG6N6EG2hZY29VoxoYQAxZEc/2uciHDI5mOfCDJlVSjrwNhR2QdGAoWKLzZD3OKsR6ymFKqAtRQdms56LJu7volItsdMdGISBSqJO16XDK9K6QnFjLZ9mdULQ7N6bw5/SbuFfExw2IgnI3ETDaPTgFXHmvoeGWJdJovcz850Ow2p0aZj5g6KvTP6HM5OXDECAHIJ+AcuqHWKebdgNRJ3TFZ3tRsVYiqaLPQSm9Li2GHnSVyv8PSqc80KERD4RyQaNSCusjeBMmStVom5WOjznfTdXZkwjRA1oGuW1cArPwGs2A7dqdo4Et4N+JGOl3jqJZAFDZ4gXjgWhj1jLohij23wnKFBBsDkOuhtLfBg1Oq1Jf7wWs8RC2Jmj0YgBNjGqsKfdWN0GIRAEUyxgD9RBaIupGCfV1ixyvrQMaNbapBrsSs4gdssM+aSq2EU7Lel2n7K9v18AA8HqpOoWmBOtUaReVGoO5sQXU6Ow29DH07H85Avu9PyestobGtxRPgHhAOIyzI85+GbsAPiYhdiGo+opFMqwllMIS7zCs6XENBblJRlCsKvD1/rpkzv6UTG0zNJS8ja/X93tgamMiKkxelYDlOJMO7XM/QsGlAovZ8iE55+UNzlyI7gQpeg9I+z3nz2pyojQBELf3okA9g30OBZBqitbRA1I0qizHBsAOjm8IQ30m7y9sG9elqUzzl5ZQ2Xa0lk/guMjEw6VaIiVut2sUIJtG2rpmAIEa2vrxuso2dAFW/2j7wETmGOSWHtQmD/578qEpxqslhyuafQDQqd5rbUk9Z6KUxcb3aLTOB22ZeiSF7OZk7+bUgvtMrxaXCxWsvY9xu/8QTOgRkO1KpNtthq9fgCwpgCUPTtlfKEr1GXr+Cp0XpTiVbDuTEwdwzzl6dvB1Lj2Itmt0xjp6akvY0JG6GFMil5vvBYD69ogyHejcLxSxGplk7oCHTdjPXjti5ErheQkNZXNBpYZgFLT2fuUISBXMg9DOHhKmlwy87N0mBrBERSOZWN4Oz/wMMiEALYG05CDsODHYTtkLZMvQOPEMdKQ40ZaoJWG9vhaW3ypLJMvK9giUgmXQfoa2UhH7HGkoLM+Dphbd5t18wcJ9otER7p7c+QyMEbTEwX7k+nZV55qAXblX8kmR3xYLcnm/RK2JOI06JLobkDK0MCs251KIEsHsF4BGhb1hYZnvFtbSGUreXu0wM+l7MXG8OVEIMFgirirmrUB32sZ8pGBfvHjRpLZEoqP9Pi5xU9KchyTKfuc2ytC3rSL+8Aw9LshvDjfDWY8KPcME8niO7ncB16+ILpb7CjkU7CmiThHpAhwt6PN7mM4mXrcFKupb8syV5qcXZ1MRRDn/jIFzvEbEPWK/83PZ7b9ivxOs7xmIliNbWi3f8/4O33P/7A+C9a1gOlP8jMkXgQsO+R5L52KJVAaxYUJr6RlMvGx7a0CPDU+dFfVAu67WGo5+LpOA07O1iftkvligzxhKB380ADop8r0Cle+ZnrmI/X3J2r7VWfHlwxnf7hE1JsRCZFUqacrlwHMvmGr15Se0Iw8/fcI//+K3+MXjV/jlt+9Rs0CvkX7+xhpqrgFBnQwJPig2DShHwek3ivtflRZ/+DleFmlJOPebuuBhXz9hC5iemMw4fse+t9NTQToXpEtEeomIm7VEXWs7Q65fLCgPhW2QXmg/H/8TYPuqIFyD9Zr3TjTSErPu96qAsVaquP4l90n6YUJ6Zvuo5QdFeZUQ/kPXn47k2qEnKaKG7hSVY7SsXGgDC3DBuXCMK0kCRLZGWotfZRqD3nhD0wlbAJbIGLAIUIeAxVWSVSFnlzuWdoC2+qkp9WDhJnDRnt1zZLfRYK31iGepxYMGQaiA11n5d7rjFnJ32r1G0Z+lCR3YouNr6BhUz7IqWs++Tl32DFP/WUNwC9hbD/y5fHaiwKidozOClq2dCsdVzZkiBaI2FMdr024y0cKxRzXn3JVal7kdIq2W2sfPM9at9nAIwFprj9AOaFdZbaiwfU5HAM1BFLSkgDsvpGR1J8k3PCk3NjnRgsoRubCARgAGNf7Z3rbFBTBKp4c7rbHR1P1evT50QAyKtf0Im9OZQSEBgBSxZWpoFryQbnQiPchUgXg/SFPSbc5nEHjblJtAzIN5+Xx93Hz+MNejqnoTUfGWKY60/cie4lxq//nouPp4tsC3H7S3KHMPGIBxL7y6ZeGYemsMyexzp4taXWeAMcSb09VpahaIeN1kDVC1gHUfkh+lQsTo4a4QexMUEw0H0NWSxzZQHlS8vmLsiYUw2CexMXIKoyfELPh0lNARJQ9MAduzRhWVUQDr9bXvdH7vT7aXRqR7GOtxvBWsCysV1duUwey9ojuc0WLFKljfRNY8PqOJlLGdG24CoSbS0RI6AIIO5TGfB6n+XsndGe20b2NAjG2apnRrc/z9RYmCBTTKdUtAqp9nvp6YpBTba+Ko5IKb4DtsHBjWPkpfz6qQZIJ+il6/Lh5Y8b7YD7IrXVenh/kcRSYMNFkP+hJMCIVjVHZrv5Lp/CJLsy09qVsRzmanczF6fLhlgvj4qnLvz0Jl+21gBpjtblR9759uiPyNEJhNR0veNORRWgLlphzBnSILoLpYpa/RP2zPJCskmashsM9HQ4RrQqs1t9xXQ5JrBEuT7DwG0PeIzYd6+w1bH47CAS7u0teehgB4ze2NojraXDRtBLcBnjAoemtip0izHEMDBlpXCqvb9Lnz+WlUXbvf0OjGvG+51qHcaaDyivSyLrH1YHZAA6BHGLgxBG7i+4plIS5E5eepM0P8ZwyMYbW9LsQD1EWBqQKFgTn3op31k6JU6QyIHW3deHKec0fValdAbki52vj4ECn1PtoYR+ndOCrtkMKSDZaA9PfBmSQAvDNHHDQLHO29oV77WsPgCvOoQlnYO5h6HrQR+33CdCByHK6ZrEa7lm+Jml+/CEgXsmfKAuQ7RTkwCYaShsRA95fqDFOv5rjtJwZSba/BApLEuuF84H2mlwC8cNx9/v383k+CMsUGvpASLU2ddyzbAIgcAmw7w6BVkD5FJOvpXGbB88+Z3UpXRfi+20SppGqrEGiqAQgrWj3urqaE/MTgNZ8UmAXpIkh2/62dzoE2k4JMHEP2gr61MV0zp/8+7orpUfC7X76HbIE2QrUhyOWg2N8UJmuK+dkXfk4KFUvMuJ9X3N1dseeINUzQElCnClQBrPevqFDlGvxe1koLru9ji0Gc7q6J+3x6zCjThGQ9Z7cHQT4JpkdA/u2CdAXmR67C7V6w3QsOScgmCuyH68FyF3ZjcD99nzA9MylRxcpo5orwMWL5zvbjwWyCJaXqBOixsjwomh9RaDw8qeF+xGdilX/g+pODXKkVSCY64U5nMgGp2BE0D2wBNPpxvJL6mY8J+RQ7XdbRMGGGek/cTHFl8EAqgUKUbWzi1TLmRZsiKuYEDQHh+QJ8+ASZJuj7N70Pph/MEwMAHahBjaJYK9sineZ+AAXcUHQb8rsXq2UM/TD29kf23F7Dg6Kt2TfgAQPblnTqkI1lEKN68/mnF2atpIThYNEmANFU7rSLSbiQRHM0gXaA1lmZ7RO14EQhC4VRyj7RUC1c/HFlVs8pHMHGvI2XH3omdlQPpFN66wepbOPENhWGPE6JrSpqhbxst44n/DODBZbCrH8uwDyhzNa31WnoMd1QzpqxtoOSLUB4wNXYs+7bG742/ypiDkK0c5mgddhFMd707nXaYT7d9p4MUDNuFdOnK9ekoxFOQVdzpCZBPvjhzaxmtD6CcbesYVD28bNESrhmIA/oHgCvw1Gn5A0HMLSydU2r/bQD0Maz1fOOnzfUsbVkzmvqtgVoLdgVgR4G+ucYRGtfI2ro5o0ysQfJUyCN27/CnTn+C55t9wO2vnZixYOqwX6YlH6jwRwU8mZD3SP7nlq9l3rm3h04Q+Y1BaCYYz9FYM0drfVxcqdClfWsAFkAIXBOHKlalttnthILD4LbeEmATFNH76t2lowI6XBzbPVhDOaDJWxCQ0yKtdjQIcgPmePcgo5XiqCqCj1foNsGefvQKHRj/TrHxxID2oPRsGaK3BzSQP0bbH+1zL3VhuV7ZqM10EFJZ9BBs0Deqe1SK5polA9TUdwg0ENSc3gY4HJlO7PTkQhjG/sKWQskcu3WZbpZyz42Ym2NfD0iAJhJUxebEylKWjMYXCi6Y8vSE7ODgoYcSVHsDwn5EMzBtwUMGLWMyFP1GjxLYLDUwdQrrV6PARnnWSfWMyEpZCHSVaymSjQ1lC40B4zBBh1Os+cinMfHF46Hi6BNEyneRu9GrU2kDIfFyioy8PTCObI1zARn7Em3ID3J623VRBgsmPAXTCeD4wcme/18M/p7ncyxzRTk8dIGXx8tKQpY4qLbC7lsQDqwp/KQIO0tsohKSZEm4EU7r1aSwgA3ndXqV9nizBVFy5EOXFjZcqNCW51u2O28NHuGEJDvJwsGtCdTggXTe+FZKRPR1mSt8qr5K173KqYtYgkVb5GXT2w1Mj9mhJfcz6EWeA7jUhViPaJdXyJ9XBGuG8rDAdsXBziTSUCacrXSFdcgiWuBJsE6TwyMzCH19i5Q+nAjBbxKTwKk0pMCrPGjjS4zsL2x9kH3mXWPe4Su0caTBrwcuR+oyCsNpRMV1DsG//NTwfTI9mLBgtw6p+bDNhPilPWXFcgF9e6Aekw3QAZFqpR08Bi7L1kpqOolNZoCZK+YPl5RDwnbu6UlV/v4c6z8bLMQnsFiZHnZ9rbXNYsChx8ilu8XhDUjPJ0R87V93hf/045P/6sDzj9XzB+4bvd7wf5+hywV4bsJ6YVtfZqY2wTA2v/URRtqq0GtVSZFoZAq8kPEdWMgo7MiXAMefhEwPSsD36MHVLyf6/vQ/C9XTMbZbJ6VH/HZeK/pzAD1/DPaz+kZmD/2REu+B17+kgHd+3+tOPyw4/yTCdcvGTinM/vSnv9MUBfF3d8L7n9bcPki4KwUtDp+y0Dt+oUg3xG9PX5bu2hcBNZ3RInLoqgueHnlPZZFe1Ii8H63t2xVF7IAF8Hxd8DxtxP2B+D6NZOP0xP3RL6vuP+zZ+x7RN4TyhpRygSpwDJlPKQrfn76iDlknPOM3z09oKhgigVTrPjd332B9OsA3QG/kXTm2OYT/duQiYACrNP2M3f57QtCOWG/W5CPgss3Ak2KL/7Hijf/9gl1SSjHhO1twvf/PCLfKfbvgwmVKe5+mwEB8tHaBu6048fvTdgOaowjoNxVTMcd6WnGF/8m4/JlxKd/xrWQrvR39zcVeM/MhiigJUC2SAGslfMsFU29+R9y/elI7nC1rJRnlcUDODMUTufy1wdAtWex+i+ARj10p1aAItJR4GwHk9cVBe+B6J8dGjXW6zhbFtTOwo4SMCPYfCgxb9cROBcO8WfxoC6ARtERGeDVZwyXZVX7WP3Y+KHTi8w5pPiLozU6IFuKhgAMFE5SQsQOIrSDrAlV2YHjAiftPgIMYetz4LLeABeVU628R7AjN00kIgpPK9EehA339lkbnM+ClB8ZFEcOmgBEuDlcWAvq9+9rxg5WeTWWzg4yJMBp2C7G5a9nQBp+fJLG+la/bf+nvPoDtADPaV7j751S2+oifE4Sb9U38U37l9cB0Xgf5uTftMX4McRuRGS91tkRl/E1r98zfq8akmYBA1zRNg6vF+mB4Ji7GANc35NxQCfs/Q0FB8xRQAtC8er22m36noh9bj3r5y2PZHittPfY7eiPfHaw+/8RwPUPXmMQHOT2568uEaJ4RNr9Rob5EEWjiKah1twYHt3mDuto2OvVkVyzlToGzz9yL62tlzkaLfB/vR0++3e/ZwqrSHPYx9IKR2iqm1lnXgT0xEawQfcxd9DWx+91MGu/UwgaxVyVz5FMfXxcX4CtX2lBlSoghsh0dOv2PaNNabTP0unQCEMpwyDuxrKIV/ZW0H8mt+M81uuK1X99NuZuLwYUt/9OQdGWccGj0cVvrvF7h5d/ZhPaz3ytCpASRMqQjPoHXMZ6aEwFW3PtzPYksYvHeTlC+BEbGvoe9zHg3Pjr7OwI4pmE/ii1MmFoIm4tiFU6XLrjpmYyvGoRxc/QhiBqMsRocmTd6LEzmGAy4TC1s4poWRoCeGnK0EwACBlqMjy/CJMvxqJyRLjKkGyFrylfxLaGPKk5XrEHvO6b3Yj3iMDbaREVtSTesP9u9Sx87Zq/pEZ9tfvo44a25kfxrTY+/lq3ZVOfY3/AOsKfQv+In09a99jeq8+5/1ybX9cYYa8QVQ6s9rPM68JfJ5hVx+17wyC48XtenR++z9uGE8ATCO6bOfvuhqlg96cBpIFbAv3H/CcVtDpbryNVARHwLE2XQtSYJAMjsLV1qYBUorglaaMrs0xt/DL+RZRTUBcLmP13ik51VgDZ9swEaAEDGMC6JKArSkfW2fOeTBCr+Xq2ra22txyDIa68d6ctS0HzE12EUm3INNpSMGTZ0eSaBPupA0f9jLKl6YybMsx9QEs60q501o/PsWvktBgnKlKo2BFR90Cb1EiNAatR0eZYkLVgmTL2Eth91NhojTWyD/fhdshMX/GySXuWMgvUqfsGBoQdQKZGkKyF1Ps59A4kpT9LAwJemRTvauGxG2vrueb2y4QUgPVNIPJva7kJjxUwJguKMFVO2TWxdHIlst+Q+T/gA76+/vQg1x1ZE+MhsmVGqyrloy07GXZzsszhKIfIuEPQnKFQLKvnk5B8oIB8ZHC7BO+zJYiwzO4pUcjB6ZwePBxnSHzHPebUJwO15LojrBsD5ANbGtQ5NVqJ19iFM9DaUUSBt7DQxNoLqLIlQLZ6Qm+rYE5iC8qsR13LxI4LYw5EKoo2wzg9bagpYL+LKBPgURE3IzfQds+MxnRm+xMx9KMmwfYwLE7lYtvvbVNPymeatAcnRn/QCzMn0yNrCzShqcxdNCBuwPSSEa47kY5MxLscZ0CBWEpDYbCxNYOaUiTEnMosEDt9ZC8cI6M2e/2XJqKmDWkXAZaJxjhXxI9nIgGG2juFtRwE+ylYj0s6Fm7s9qNgeyA6st+hGZpWg+K1eyJ4TXdTQy3i+rbRFF3R2lvXOHXOHZgQqgmWFdQpohxSox0CaEibO7R1ImoeCn/e1OXOtn5sXWogPaUdbFOCLhMkF8h15TOlhJGm3A5sm5e2hT0YcNGe10F8eWVNRHotHsCDOUXI5J6mr/dCsQ1HwMQc2fE7RFgPNlBuu13pdWGN8ofuDPX78fmCoZnMVteJFCRtTrACUdn7LveDph2Y5ui9dvIE4LivxjRw5HYQO+Nk1vZcOgZZTuN26rIzO6wdlT2CoYj25SnetGBpCFcKXENz6MFQ4npvB53CROakH6TBaPkK1iqWgh9NgEwJsizGDolIl4JSI4UxXu+HIL32H6zrExOgCSsFOrQdquZ8xL7Wy8I2WWwFJQh76HTlYPY8b71O1NevO51Os88Ut+MaNNqxrU+9OwIPJy6XFohaoHDduHYfjtCUmrPPNw4P6olM/15ba3EtwFp6HWQIwMFQ3jEWNxqnKtdSObCUxxOHgDRkzBNyZSbLI27KtisClONwtqq3DkILrjRZEqdYkOj9GPcA2QXpzGx+XLsDGFftJRxTaH3GNUbg4dQC0vbsIzI6mzgUwLXpQdLkgkfD/rhBVEFxJP+8QBtel0Qk3NqplCWaM2rr2OzsSGfcTzDKPlp/YFEubSZPAm3jnFDrDPw92v3IeSUDYY4oE5HUkGkD3Ffxi+qgtJn50LUu/NzYT3Tqr18Q6XHxmzoDlzu22Tj+nihlnbhf5RCQ72Nbb1KA6WlHfF5RTzPyPCHMQD1OkFxbj92wFcjzemOnxc5AZyPoFFGOEz/z2VtBCfJdoibIORPlnQLqFBA3E8MsxiiLAfmOjCV5mCGHhJAr5u8vPGPvDHnOlkwR7qsqQFlSG8v5ubbEs8aeuGUrMbMDE+eMfVONnTDMtaOWsHM6ZKBuAWVsfRaV6rUVCEbfjBsQrS2Mi+PNTwXx0un3dQko7yiU5gCKI9jOnFIRlIfl1j745UneIJYwAWRy3Qvt/hHQfJ8ysd7dy6q8Z6knJmoS7PevgofBHqWzMc/uHNTwPSuQZYbGfra//FnC8fuK+1+zFnd7wwdYvk3QpI2mzP6w0oIjgOq7o/Dr+qVg+4prafldYuuZ5r+YHxSBl78u0FQbcCLPCcv3wVpZ8lnSlXW8558Izn9REC4Bd780kaivWed6+lXA3W8r1hJYoxq5R+KmZDdOg+8WgKd/InjOqaHNUmk/QyabomyC7Q2wviNluCyKWoCLxR3xAsyfaFfX98E0DvhZrSerWsIgS6v3bWK6FnyVRaH3GVpMn2ICtreK/Q3HO53p25QJwAyuWwDbecb0q7klHjQCT+cDfnl+hyCKJBWHuOOr0wvWkvD3373Hdp4QrgwYQybSjUA7VA5odcJ1ArZ3avoNCo2K808i0nqP89cBj/+UMcUX/6Pi8KEgXirK2wMu3yx4+gueV8sHQL4H4pUibjUJXn4aIRlYHmtrU1onwfom4PxTtgLKP2W56PTLGdOvZ6xfKH73f8qQS8TybWz9iaUC01NA1gnlTcHb9894ejng+MsDDt8x5hIl9f7lJ4q6/cOi3H8cJLdqc/zqq8g+mBoZkVwTVpq689XrVnDzPman0FHIaAe5N0C+QSEFNQbWw5pT2j4nWToB+MxJazTMYIbqFfroAUFrTQP0v9vn93qDG4rmj/iPfM2rGMKySy2bCo4H7632j3GHNvIF3miaTi5/74bcxC5bltuFFNwg1aS3mVGDVCQw8y/ZpbtJISkNMfIMld1SNnqbK0E6Au5jN4yz2NjpTGdSAmxiDRH0bLX/cefHqK1OC/esMsqO4P1Cm+Mp3fGPoINnDuaoglonq6+Yu5Ecs8ztGuZQRKClQvNuTh9aoAvITa/GJopimS7Old4EHP2DX617AdRbgEwcz4bi+LjWYZ35jw390sR79fFrIlItm1z75wAt6OL8vAraXmesx0tvF7KUapTfYf4rv09EmMD5kebdDbHwuvNxaHQIsD0wFEBfT9QQGDsCRpQePcCNXfmP9zWM3WvfxZ9Nb3/GlhwjLCAdpXWEz9kA49iMPxtVll+3KAqhf77vAwtwqTIb0EXphoM1dXsYnB1nZq+xOWzvel0Ob6gyGhjn2QNvQ3A8QfmZ3fJxGwcuShuyUJSkDhOFafdja92d1oZEDogkA4hhbD+bl+FGfPzGnznlE2Af0iky0ST11essOVu7/W1BZGPm2DNVYNQ0cDXxVrObC2s8DQn87KqgfW1ZbrP36u/xZ7QAtrEbYIFEI6IMz46eoImDnVD0g7NS2EOKtMC21Vr63Db20xjVARpIA5Wxxtb3NWzMUl8/N+ef//36zG0od+17zlBcL+tgSxW0ZGErrRlqw/1nrDHr68sfvz2PodE6xdvyE6AnrGxPMGDgnDQabRwE0+xn4mqwLfEBeMsm1i+y5hQbwNYY2tYWUZWeDHWxQgps0ua0c1VsjINRtsXvsd4mGQETuKutVKTV79pzSlWUZEJeQ4mRRvNVFHyvJ1LRbUedAmnTRUlHd2PSUFW0II3IdV8P7G9KlLVCWo9qr9Wvthea6Nnga7Rz0c7Etq0U3AzZ7t02j7dahCG43u7FlYmhMAGqMiROBHWxxMuufZO5z2J/V1dj9iToDYKpfX9DbiAm+kcKb8HF9RqHFnfdHoyMsLGlo48X1Gxuu8e+D/gisxmD41KOgvi9YvlAMbL1HZ87bGgdExy1jVtHIQETvVr7OO73Am+Hx2ANqIsNmQM6UaGnjOmQIYEJkDUz2aSOfFpCp/XJXSqPvRDhif56ZKIlZKv51Fd/0NeDs2HyUW/HysbPg3gIqD5/0jZ8iKC6dBbEC25aLZWZiYSa1Gi4HAunwHvNt7u9jU0Swf6+EtrPygLUuwIgQj4Zq8fReQC5BugWKMTkgEsASg445xlzKEDMqCqYA/+uJQAre3d7yZWDOZqAeqjQS+BZisEfmhjk5iOV3/c7QT0VyEvA9KKYP2wsHVsia5fvOYbT99STcBGzMjO5FzcFnmxAA/2zOps43Kni9OaKWgW6LZgfFddvFG++esHTxxPk97GxLVzcL+yCUgTR/MV40ZYsc//N65r/Idc/jvBUrayF9VqKIE3FV54roh0OYa808InGIF2qUWBDk+h2KmmnDwEoYL+lq2dae6AFAUWrTkBYA+Lz1kUaIm6a2rtwFINWrk49HdBQAfH6l0Ll5WqOsQfAIXQ6Znt+NGceubAubRQoGekwQaiYqAq5vDqkzMGoS8R+n3q/QuGiihszaq1tivBQPPxQ2v93inFFUMF0tp53Rv8AOI4BYgdvf09bL0UQrqFRQsizVxzOaAYq7EPdkFBVUXJFfLoyk3q+Wu1Vr6Xt9YUMemQvdAxLbX2M692RjvU+Ot12YLpCKSIQgfKwIL8/Mjt9iLdJBTUnQ5h110CxgHFdsV5EbXyBIFaQv0y2DjKkDHOUEmSq8ADFlVWdGs4s9HBoKOhsF2X9mTmDoSjg8whu6Eazs6BEE6wlkRnvQ0B4O0HPASmbivVKB2pUjr25V6e/erLA+hu2Petoa4pEY0aUbAi61Gt5nTpsqI5OqYv12P7wtiB8rzmBXhfs3sPB5tAuEYVstSlzOvvBx3FUDua4A5/xVGx7lslaS1gNIxMF2ilTfhVpga4rRDo1SpSBYroW9gLesvVfHdCs+dUHRqoeS6h9rAbUVtVQU6vjRBzeP9KafyxI8JcF1rVTBC7ciA+NMZX3pdXU15LTlFwbobXc8oBbh/DJk372nWXyulMgjMGYz0cxAZe9Il4zZC8opmHgbbZa0sHrRu3znfqUrQ1OyKwdCiu6IzPFnuACuPZfK+HPE9TRuuM0OOP2Ia8TE+Da0ESFd1FtGgs3LbA8OSGACwC6roCr4cICPU1L3//a+wYCbmYtMRnBvpxRUCUwm49x7dEmx6siaW1iQV6W0hAxq7kuTo9tCWB7zCzQc6TAz/UWRXEEN26kvbYWfZ7Icae9sRFCey7ZS7MVIsIoZWRz1drr/z0QC9IjlldJN51SsxVhzVRvNYGj/dRFKxs1vyV2cOv0GNuLf3MMy5FaHbpuCOuGUNa+n2aKtyAIa87uaQums7Y9UsVtgZqSPMdpfvL9YUnMCkzPDKbKQZqYUp15H9NzgFig5UJKGg2lv9aWnHZFX53plsWL9W7eC+28rem6TChfP/DMfWH9mh6n3nrQ2gTVKQBVkc5kQYRroSK9Kmt3xQK7rEjnHeG8UbhqIb0/nXnm1kT/LArantLUmUvsGR3Z9ULQapgdrS0L/UEpiunC9+dFoDO/39vDefucYMGDi9LUuSvjywgyVLPjYmfGLghFbvxEvseDXda445CalogU5XMCvc+7obgAUK0NE8uy0N83JuatplztnBfl3IW9IDyegVpR392jHCds72as7xiYJGsbuT0ElIXtZsgWsBKqAISV45EPtsc9AZCIdmpgpwtqwERICqiDqJkU5di/S1jfSGult7+pbNli23L+LmJ6UsTcRY/2e8H6Drj7jeLwISMfJoTnBJ0U+71aP13eZzko6luqPMlLQvk0oS4VmCric2xn7DQIFZVJMD8C+NvJNAJonw7fCeqnhJCBpz+nOtzdr+hflSNw/dpFsvgnXjj/Xoda524fnv6Ctm/5qAifqObrSvTl6GPEz9kf+MxSOeahAIffc49v7xX5pLj/+4B3v8jIh4CXn4YG+ngSWIoFtS8JooIatbXBkmtAuArijhaoaQaW3yRcv3+LGIH1K5s7O4fmVHHJE35zfoOn5yOmOeOvvvwBKfQ5LvcV5b4iPgfELcCTIQD30PqeCPLhO2NyTbH5nE9/RTDr4W8i6+UB7G9m1tjOZIo63doD+N10lvYHwfpOkS6CsIUmEgZwHDUp4jkg/3/eNtbL9QsqNT//7VvETAo8SwcZa9WDos4Vsgu+/zdfImyC7Z2gHHswrAE4/VpQtj+AJL66/pGQXGZEXcELgtaPNV0EUbqT7KgGHYtKwQ5N5rA4fQPd8bcFBwFw7VmgMch1AZ/kHtjo1PhhKwIkfkyjw04JmKfbGopSWkN6gIePYnDiFc24jc6lU+paKyOhOJAma1Vhh7QEAfbahUqG8VAR6IENnXVX9sKraFRvd0b8uVGB+dMOKRXl4I2gtR088UqazijZ73Rw/4wmRNXGyzN3vN8yMwhYHmuj2AWvbwBoJKtQyGXjveC6QnNhr2LQmexrxb6kWLuVXKDrxpYmD0ceEq+RAD9U7EDTEFAPEdvbZAIsfH26DMFjcTqfNHGpJkZh2S7PsDuiXKOYaJYySB9UCpESBYQG5KsFXJ5dtX6P3ozeHcY6xZahFquncjpc6zdaR6qzPbbYXpqNjqpAfAl0ChuF0zMUw5gNgSmATtkrJuIziHvpPEGPM5GuizmBzQEdkhOlQmWow50SxXpq76tJ1Fy5lytugmZx4aop9SDK5tYF10QAidLfGwXFgsO+fizDPvyMNeGKmlILmGDTWidAZ6oo9vpOaePt2VlSkLg0Kb5iAe5e+lh7kOv0Yw/4TXVWAQaxXnMIMMAtlc/s9DqnIe8ZN6JVnnjwBxufOwrqHFp7HhcuK5MpkvoUmP30OlwXwtCGeMhQr0ehLH3dQsifM6AJWo2In9+kC+WEjXYvXHZg2xGmiFpiy7A7o4T0MnOsKhAKD38PTtKZwU3YtaGCGsyOWsIw7HJre8BgHCKoxwnF2nMEV3rcMm6E0AD0QDe0NchAAs15Za2k2XEIqhj1FUP7EG/lZGrXzTlWH2fp21L7fggSoNXnhYmvpmhrzxb2irhV/mxQq3Yk0LPydVZTE7UA19kS3kqlUDAwZIHXwkkBorF0XEDQE9Q3CbPXrILcbaIH3u2s87UswuRBQ0kVUqcbxg0fxB8U0Gjqv3tpYl5q4lJl6T7BzSXj2YmbhFa+r82JhipbB+47MAS5RKAjkMG+tUcmkdPFjgRHjLMlAxzlrBZ8lop8mhhIV0W6MLEar7y5svBenDLrjnSj6kc7izZtNFlPvHvrprBmrvVsdtvP19OM/c08+E8UsmR/aopMOSNArKZXFNwLlc9e52gBJechXHZ2obg7QO9pv8Oa6RQ/zB0Vh69DC/DN59PIuWq/tyAXQBOQiqsgPjMpvx+j9eo0RC9KS9A1W6OGfCeKYwJgzaG7QN5HXABkquKKiRm12kH7w3ZxhqQGthRyhlVYfZ+96veeAooBFHG1RIOj4CbQ5vujMRGi9US+ZibOzheoKvTLBwMwAq5fBMRVkWw5OloWdsX8ZONnPnAqYP11YFmH288aidQhaktuQMg6qTIkkQv9412oypxPJtz1NiNMhYw6UZSnYzsL04WBx/VLYH+jOP4emB43zG8i4iWgVKCcKtu4q83TQ8ZXXz/hsk1Yv3uD9CzIdwwo41UsiQxMFwa5uwlSpbNifrTA0GKG5SPt4PaG95BegLf/M9fpp38asb1hYOV1xtj49/KB5Wn7ierJ+QSsX7Gs8fQ7xfKpIOSIfCUCecMIESK87u+mM+95/kTbu70FdKlIL4L7f/0D9q/vcf76RLqx+RGg2aFA0pUJH9j5KyD6TSSY4+b5mfQDkzLXr4DrX+5kBGTuhRgrthLx9HIAfrPgej9hfx+RQoUYHUIOBWnJ2MOCYrRwf66y8HyYH8V62ZrtDMDznwuu3xQcfhvx/u8L4lYZS50CtntSoPPJzjDpQW4+EqndHhT7u4I6B8yfAstljJ2QD9y301PAm7/lfn7+C8H+RhHPgtMHKye7J1Je7isp7kkhUSEfJtz/Pcdwfa/Y3qG1NJ2e2M6orqND8oevfxwkNyZICKgirSFwXK1uae8BGmNFOvkAjTCkD2LIiukMhIlGkT/sg+uy3K2oOaAhwNEco3I3EbVSP4gDcLDm9B74G2VWXZiqmmqtaqt7kVyhnokeMvRSYLRBE2JYGdzXObEXXXPOAqlyfhC3Ws/uxKpIVzr1DGGuRLiztj670f7t9+JiMwIauNZpxAQrWr3emO2GGZIZndZWpS1MyQJ9SQgbm3zLzgM6bDbm9hnR2j5pEtRDasqjSIGnmSO17rzXajViHpx5PWOAHhfIdYOYKnALKIKwwfrYxmecg2zj4f7cqKpptWzeD803nWfXPcj13mIIQ1AxrGlSNPX250PrF8naUX1xJxZGMQ92qPJQDHb/1XoadnEmtEBLjK0QAMAakTfWQtEBHYgUXdsLBIGOut/f61Y07sCXCtS9P4MjL47IeB3ePPWAdFSZHcffFWy9/+c4bM5Y8IArBIg5mn6PTbF4SBI5dS3kakIrbXggEbhBbv2WSt9P3n7MBSZaoiwpXExNk32J0gHslLZemyuO2hiywPkubU/72Hlw126p1F5faMEhoiUacjaH/pWXbgGPugDPNPHRcu7rrCr0wFrFekzYH2ILbjWgKbneZNsM/e+1UujBk0hbT94fVyyI6+83Z8lUt1tybPeESU8iiAvpJJ6AGqWJn3GPCkIh5Syuhsj5+7XvmdfosDrjJagNU9/rjYGgesvfVY5j8MD7mpuz+pnSt/XlxmR1uF4CYetj/Flbo8XagTmqD/RWTq4QPNDx6zFZn1O2RmqJBZ8P0IbEjbbGz8fQgil7ZrPnfs618gh3OgxJ0WT2KHuyjIGBbAHTE7PscYMhw30cPVgkGEbnXVY79wYEt7X+mRJt+NUYUz+iaN0SWlbj72wePwO4oPzQ4t+uuu5JQrKPTBwwSmMm+FL1hFQbA6UTxJYcHJ8wJKf0tS3PlUmnKUFyxfTMPV9mYaxpAW2wIIOBtEDtzJXg98fgzNlSo0CQABakARKM8GLCOY2p5cMmgFgdskwBrt/BcWPfYWdKaBDEK2s9Wxs1Q1ZVfE9ps8PVegB7wpxIuSVNV7KpNAUGuFOk3yFCFWHpY6lJUB4OcPGqtv/b2Yy2Lv3n3hLIKa/TcyH4sQQUE/hyyr6fcU7XbEk1hVGTTTkcaGwQ/73AA1wZznibw2yAys5nUF/zQZmgF7RzkkrJZgNqJboINPaLNkZc7f6kM0pybSyThux+8x4QQbmfURaeH14jPPYx18CA4qLsb+oodi7mm4khnZYwDB4loYuxepI5DD3G4wqUN8B+T+rs9MzgbQPZL9XEuqZiWiDZk5G2pzaico9/fcL61ut3BXI1yq2dDzlEfHg8oeZAnZyJz5jOoe1LgPtLA+3edGFbmuuX0ve0gyB+NnjgfabezPyRB1yZydrimc337Q8MrJ01VA5AuavQSXD+SSDd2gPSAUSbP3F9b28ZnI0JYz/r4lVQnyLySfD4v/wS213A9gYWqNN3U6cD2+dChYHZDojy7I2rGIWfytB1UkxPAnkhGn7//oycI9bfnSC74BwPbAG3B+CgwFSxl4gkFS4qqOeE/DSxe4SxpUQ5T/WgqHcFeZssuen7h4GvxojpmfaCtbTU/ykHE8wrwOE7zocrZJMFyb12+G0ykECbaJeooi6CcrI2RsZK2N4q8vtMJDkyKC6LsWWzQEqAhgpZCnTWNr/xSip5utj3ZO7f+rqc6Q9cf3qQWyqDRlOeCzv7cHoNSbxUGtLmUJMKSCOClrVVoYjB/EL5+Tol5GKCDt6va7EgMwlqGXrZVTRp+u3dDKmK+dOOcN6bUEtzUIQiVcUCYTf04bzRqTzNDCS2coM6c2Xw0FRJPAxyRXxaSde4W0hBWk2EZAps/TIEwq/VYxH7QcL2DRUhV4THDSNlxp2kuqSG5pTk6RWgFjFHsjQevbdDaII6hhKWo/aD0A4TJIWsgukx2KKCFeKzJiNaE/VQDB2unj2cEK8BwYy6U7HDnJh9vq4dHXT1XU8CHBboISE4CgDwtSLQ4wI9LT1zin6QeosnyZR4r1NfH8VqpbIfEoMTHXYgbd15iUmQrqST6LgLnJLrf+wSQ+adbhf2Aq0BFaHVZAC2yfdM6tNamIHPtjcwobg69KsAl06PABbjOMVKMlEXp6mXQ4TmYIepybQ7Wjr2F+43zpMyZyAlCqy1Mbfny8WSDnSmsGULBDpq3WqKHJ2tRO5v6FpWP81AQIkYpEAxE5/3KTaqnGe9sdM+yFoRdGi5FENT82yo3YCOQXlf5RisHx/aIe0qp3T+FTJVSKqoa4Rco6Eu0rKqfK9iespwJew6BcSLjY876753/W+naufh5z4mVend1leRXFUesjkD6wrc3UGPC+fwevv5Oifs7xbkY8D1bWwHhrMq3KF2Nmh7HkdOh7Ea15rmbOt5OMn9MkX66j2L3RlWsNWb1dB5n/MaA2O3iTWcqCDCFAVlV0RxOqf0eRnueaSS+HOVA+1FFAtazT7eXHVYv8o1JsUSZat5p64SPbBCYBoL9X6GLobAKjpaP9SHNkQsVwZ/Y+AUSe10iqgnbVWA/Y7MmnQeHOcxUC2ggmX77o4SBhMw1CmgxoB85H4RVaLf6I5xS+hY+UnYIsIqKA+K+GZHeZqQLoGCU+Zc36gEA3DEgfW7BXK+kqkxMVMoJrhWD0eU04x42WmrzQ7c0OtLBaqVqpwOZDh4cD8GuiE0Zksbc6tXLAcLHBe0Fkma7DktQTK5Y2nPL5V0T/brdPo70c9Gjx4TU+sGPbHtUdwrjh8K8hJwfc+zc36iTxE2bf5KnZj8KMaSKAe2PCvuUM/uYKsFThzXuljyJJlTfvGz15zUnl9BOUUTHOz02v2e9nV6Logr+6ymT/Q7PMlSW0kMhvOFz9v2rFOiDRwIu2J6XCFbptDVw4KwseRKp4jt3YI6mQ+3VZQpIB8Pdv65xkq3x/4M3u/W13o04GN6qZg+0R+oc0DOoZlFF9P0/2/jB0sMbLYG7guQKoNT5Zr1jg5OmWQdqVoygefn9NzRd3VBKzCR5r1sZS2QbWey1/w7Wc2O3c0EN4yVF3JFaH3a+bzx8Qq5rCydOEyohwnr1wfT1uDrVOhfkeItN8nI7Q2wvSV1MxuVtkYgFJZwpAvXu0xAVYHsTKwRHaz0ufaCMJRZTS8Vl58Krl8o5ifB4Xubiycvd0Fj+6xf0j54XahU9pTd3gGXn0irRU67ID2jU4MnIGwBez70xM5MFmdYB2RdGBxJEdz9vmD5sGO7P+DlzysFZb9jAO5rid1YaLfmjxvCVnA/nbA9Bzz9ZcD1y4L4EjA9c3zX97hpeZTvFPJuQ62C5zgjrILDt4LlgzbBz3gB7n9TkM4F559M2B7oO+ajHWUT9830Qnbj/gb43X/Blkt1YsAVrRykTgYiJaV4VLXAbAVK5p7j+lTko2D9qkBPBVIm692r+N9881v87vyAX/7iHvOjYC0TrpfIWui7jLgU7DWg7nOz3elTxPFbaQJX7u/Hq6C8zXj39TM+bm8Q94B0HXza3wPzJ2mBb5kDLl+ztM+ZBMffA2//fYYG4Po+NgBpf1Nx+Dbg4T/0jjZQUvAJdCau+2o2fAHKT1Z8/fUjfvh4j+3jbOcYWYzxhbXD+1IRU8F+LNjeM0lw+q0gXRSHDxXzY8F+F7G+DdZy7D9+/eMgue6UVcD709FQDQGKIWY3vS892MqKWEszeB6EwTKp1UraiEJ0x6OJlBRaV88auuIo3Enza8jMtx+NjqkdxI7WeL85PxrFVINhtBQAkOSN7aV/viva+huDcJgGlMSpLW401RoetyxsEGiI9r3a6G5+/y0TrLxn8ZrobLVfybNhr8a6AGgiL0PAOzqasYU/PRBzZMEv/7dTd0Y/WY3WCvQspzuojnapdgEM//krRIBrwR/YH5fOJBuQD9lrAWtqpYsG+P23YFdAOizMOEdtyEpHlrQ7XsP9tBYvP9Zmx+fMgnhRWHsjCz5VmwgW/0hzdEPWtvbc6fd7dvEBDwjEkbDKAJHMiJ44aWtyrL0FeN8pMfB61RKEbIceuPKH0tdwe6HPw+37O/J368gKDN005LoFQLYW1GvzhjHuLYksoTAiMMaxlzCsw8EZclVab+nRUMIqpItZo3X+QW+d4Cj6UAIhPoeva39tTG+CLX+OkdrextDGJ0Yghj5XXqsZAnSae/DlawyGpMZwa698nVsfwVEkxNexZ5HzwX43vF/Hf1pPUlEiun/oOV+3FXEqYRhqOZ3u6vWpt/Xx5rBkszeBqOGNqJsv14gmthay2fORaeDJg8nub0cLkBrC6zbFKeWvaJZtbdu9ajAcu1igNQENybHslUKGuVPSzau297f91+a8O+3e5sxp2z6GbmdC90dtLNxGoBthdNtwY4PNnouAOgZ+7trvahnOoNfJDl/3g0hXrzGOLWn9B9tmWeDoaCPfb+Oq4cZ+OOpO0RwGDTrf2hGyD4K1/bI/juSaI95EXao5/24jbz7I1lrFbeLJ9lUf6OHe7LUhMYmgOrB4xH2WPn+Otms2URohdVKKkt7nSLut8zr5WAlaK5NxHgWGMFrQ0/wUbXsHGMoF/ExBL4OCnTn0TXBzpmsFxL7Q/aFW32Z9wOtEujNgSXX3S4Y/dQooB9d2YI2ql+E4GupnW9Pu8FpmF79xn8rPFrOzNIHdP2Pgrw0Ba7oh7tN4Pa4JqzUxoPr5H4BBtWT6hU3kyXVMvAWYlyvZWaZUL7E1TT9VjQp+I74WhHMxRSCnrvoOwBlD1JchWt0kEGxtNcDBSpXGsgOdBDVw7VSz76w5HXyPil4m9+raHsjG8fFpSQ4DBrxXrSO3/E6uGUfmOouGATfnHSZiilYrHFeushuhRy9BnO1eC9F7JrFiYxF6XX2dAN1sjOweAGB7P0OKtZ45WovIGztm4MywDkIWrGEBRGkf3U9QBprzJ2l1qI7w+3P6azkuTGLHaqZtsn0ktqctsduShUAr6XNU3BFvF/iCKOJz4LGz015IAT6uR1z2yezGsBai0XgBbDlSzPuSIOdIdNjOgXjtyX4oEJ4THg9HyB6wvhGUObbSmDq5qJ50EMl8IfeXAQapbgM4dqYzUEg79/PNxzxs2vxXEXQbvgec1xk1S3dGhH5BnRm7AUDJ9BUbC9X2myfQfKzCK5frD13/OEhuYf2ZlGLBV2VNZwRRzoWG0WsiysGM6cZs4PS4IX44o54WrN8cSQeqzMD5SVZ3ToYrpXmD7z2yvo4Ol2C6sNYiHyIRhq2wngJ+6AhQFNGVCKt22o8fIlWbAIMrmXoNMapCZ0OoEIHTBO8ZC0ehrC+fmDhJWeLgjBMB8DYJ+RDb2UsFzEqHIAXs95ye6WnnMxjVU6oiWTsD35xN+KX0TYujZzukGbT0Qsdh/bJCp2rfaQdQ5CP5gpsfBcEEFzzb4wuTTlxFuGSElyt0niBGz5OXK9tzeFubYhl1oDv564aQKfD1mXHOpdfhLbG/z/5WAPtDwvVdtH64PDS3B2bU66JseQI76KtgeqGh8lopNYVpqay/8FY97X5eK+nmDMjE2uHYD7GWsd5rW0ve5gdO24MpDHsAnSsieM+LMFGz3Y/BM3owYwh1KByPIAxKw54gyUSocuFYD3RqqPba82Xu1ExzXGXb2/2JjXlDLC2TfTMvPv5z6t/h8+HUThfbSUAVE7+qCsSAuhAVCucdYd2JQFgrpRZAbZn3vMyoIUE80+6DIgLkWxq5Vra/AALizsMnbCDdHmwbAA3ADqgE0vENwXXlyOmsTUmcpwdFcMRr4TwIBR0iXC3dfFhYf3i+Qs8XBrLLQgc/0dGXifWIEgITDeN1PDBo8/p0oAUKepypRJ4CqXaDins5EOVyJdcbh9YO2rIo6kEh1rKgUbDsJHckV2uE6hBpecBYWe83vWQ6uJFzG3bWsJECWHiQGm29ThFYkiGjfY6kqrU4Y8sXR9o8CG+UtyMP3XRh0i6uoFjOXlhDOAfUQMp2yIr0aeX8uGK7iVJpjNA7awuy7q+CZAFMzMrbeYWtIICJl2oaDcFUl3mDiirBGM0RukyNWaOtRRtRLQ8U0ks2ZoX/Lli5AhFGCgpVaAaRoilYLaj04HAIQN0J9v3SaHwvjlqGG/qy7IL6nBBWiqNk5euDBU3pXGm/r6Sr1jmSWbQk4M1pWKS+sIw9s5vwl7NGrlw7enekvkUKNzW2Y1lEyIXnwDyhvL/rdGhwLPNdQj4G7CfSEbcHoC6vAlkxRtTBAGMr8wA8kCBKRWQ3c52nBJnn26RV4j2q2euQFViB+VFbIA3QNpclND8GCkw/bDz3toSwR3i9bk2CuE7Ix+5Qb28F5z/j503fst6xBYVm+1mjyvlLK89et50hK45PhkZb8Ns0EAJrayGddux1wm24iiJtTLjup4R64B5O1kanHBNwTNjvOfbpUtt56kywOjMxtN1HbA90qOdnaUJmvvZDAbS6UrS3GSwAplZmsX61QG0sa2SLoXhh+YD3Cs6n0BSt49Wc5QKKQzrIkYP183S0kChZyDDNCzSbrgJcvprQ9VwUclWEShsWnw1dPs2WPLbkzSSokSU8YaVvFabYGGuwwNhbgqksCCZ8B9vj8+Pe6OEEZEJL0jB4YMAllXW5ddJGk2Xih2s2H7UFXa0fsAAowhKbTy/QeUK9X6Cl+ycf/rni7hE4/p4BtlQgz4Lzzyg8dff3EfMjfWeAbINy5JkSNyKrtDVuk/i9+x19qHLgOROfA5Yf+Dzrl5U+WBGoDPda+ZmSAdT4/+PtX3tlS5LsQGyZufveEXEe953Pqq6qfnFIYjikMKCkgT6M5gdIwnzTP9OfEGYAQQIECBCgwbREDUVgyCGH1WR3V1dlVuXr3nvuOSci9sPdTR/MzH3HyazuBpJgADdv3vOI2Nu3ubnZsmXLTFgO2L3T+DQfYKCOxs5h1jMjHwhf/dPUxIkcUIlHRnykdn5ffa37JUwVYa7Kstgz8o7w+BlZX7jew/VXBYcvzyhjwPEnO8zPoomT6vtztiTXADbVewHSPeCCrPMzsr2nNqVsD63ixkd9n+l1Rd1VxIeAaDHo/q2el/Ec9BptRm08En7515/og7spKFcEOWj11l0gkeDxtEPJAeMXA3bfoZ2hYQbGDw7c6PXvviOUcY/1Grj7TwuEBOnOEmMDMIZ7INmo1/FOq9a9JZRw/7NoLCO1oesv1F+ePg748CdoMSVn4Nm/U/ZSYxlZP74wEN9GnB9uwFVzuRoFsheABfJiAUUBThHyYWiJ9haXXK8Yec/W1lpbO+ff9voPIzy1eTn65miI9vs4LCA9GNYf1r/WopQoU/XzJEoPD6PGEelwdkf+bAEc4a6BGiUSMCed0OhdAAx1tH/Xp+9FWnGi/vuO+qksuznXIion3yqIGgQFqRvEzt5H9CK9F00FbPT+xL7u44OcFqjCOy41v0nsGspkh59VkwqbvL9Ak3au4FKVitPKsdig0D1Y2qIkW4MS4PuVFukHf3vO1Sq21ZKBFpBJT4KYW5DTXtWdQsUPoY/tPmFQUKuQe4Wlo1BOx4YjRoOi62LDw4UAVEHJ2rtcdlDBBkOQYM699dS2Sop8/9qY8L3eyk3lpI0L8Cru01f1dZTWU8qrNAfRRgNgY4dErQKmFEl3vnZzXj3xKpqYOFo1wR4mrcykDdXWE0ffCxZAtQorA23molz+rCe08Mo1o1d3/fk4ul/RAnenagIwW+mb1+l6+j2r3lbYjV7aRBMH8TViafbk42o8CRBDerXPV1rflvbaUVNQdAqvIrI9qP+bbRN93U14r80j3lYOAa0C/kBlvAmCIaP1qrOPCQqmgrjdlFA7NyqRKhPalzf+UAioO4EMCodu32Pbo/9779P2tlTrfY9AUznfAIOUO7ADABjCZWW0vZ//niG9RceJUPN//doUVJR2jX1MC7VkuyarQAfdA80mXVGPYSAkEFYGSvk+ZdZZPu7DgY4UA5BKG4DF6mBh0/9OaH2QXET7gwN6paxuenG5v//31tnOyB98WUW3izzplah/pRa0Amgq7XUUnwinbIXNmJB26VXBZS59P5HofoFRr5sI19Pr2bJvfKqCf5sZruSOKr1n359hrQoWhu3h0v2K0++VnuxAiLRYot+HjrqTAGABQrlcW93PuExqA+NiLvSmktsYN1X9gI5C6+vmfeROi+7+RsFtLgb2poA4RXtfvea873uPMoxlBR2d4+cywZhV+gzJacCsPlnnyMP61P2sEltzs2HfkxfCYXYeb56ZBCg9t/bfF0tAvf3Lk80WD3CvqNek5qyzsc1+t8yZjR/3WbPb2eOuoNx8vscVIo3h0VoZPFi3WE1Eg2MBgNwVlMPSq3dPWWluN027Rfq1tBjG2wkCa8XXW+7a2CDzXzZ66GK72r241oSajoB9X1QBrXJp82Z/bdzmNrby5MLONv1/e47yxDcaJZaztAkVfk3NBA4FuNcEqJ0PNl4GsQIITXm9VSQ3MY3azyZkELMhkrY/JalaPFW6+OxeqUNjotVqOZHp7mirnv54IUG16m97llbBW28qZJSW9POJO3hr1dx41uQ2nJVyHyKjngPCIeD8ShkO7RxaBHx/Bq5H1LBriucXr419Nt2Q1eNbIOz78wPsTA5AKNqa03p6o1e1LfZY1OemI7WfK6MWMnDWli9EjY/DUBFs7nEjDpqvDrMm32WkrvLsz7Kdt4CcDKi6XsFBkFddCx+H5LOa2360mKixIndmA6t+bpwF8Vhwfs0oh2p5k7YLlB2hjtQ1FLg/f/XJ1PZM26cEhKQ05RLCE19vfzM2Ux9tbNHf8fXjk9wYOg2SqG0Qd9ouThDmAp6KJXNRH/L9ogIhuWof5hAtkAWGez0g5xdBey2zIHqxw7J8XtFGLvgm9Zm86nRIWXRL7YtFNqcsWVViAYgFLCqOcYHOm6N2MZx2EMcuyKLBhyl5boLYpjrIiu4La9DUR+/Y73vSFtx5sva6hA4GSCRIZvBcMGxHD7Gud0sgolWQfUC7BV15B+Qr9ACCrSeDQ08YzLF6ZdMFamogBEhDQNu6rBvhoSeUZNmPwGg8yqrqszQ6B58ukgCJQVF1HyUkVSsCNtuw97z1BNefg/d5uACP9yfySq0JP9+qh173em3emwkBUBiyMuqJwZ67/lBfK6BlAx+9Amj/TuijmXgtXcXVQBG/y0bXFxPEsd/z60clhIWbs6lJHUA8AxBpaDQLem/uRqAkfP9q9WUHa1N/lR54ymH3g/fp66504t/3xkDZRRV4W7WPHLDEIjiFritvAmi0QEmMChWHa9dUVZiqHgbQmHrSQtTee6taDqgNELPm7GvtAawdOq7ITiuBoVUWeP/HQo0N4gckFT34wmT6ATZzuD1TC8QkMMiF7MQq/yGADtpEJdUADmcs2Cgh2tKZvS/RGQMAfAyRjIPaxyGpUuqgtPy8Z0WaE7WKhCZ4Cug4cGOLDZ8fKUlQ9tZrNVPzSTToftQROlvGQgFsFFJXEgWYNcFpjAUHB4uAZo1SONpIBa9yuOhS7T6OV0GEorgZaiPJaXH2imdpQiP5kEASTXxIe7S9v47anus+RW23s2O8t56YIcQ9wSVoJdp/z3xtWGtLOr0yWxOBrReSbP3AQN7r2JRwrkgPqyYiyZPxBKoRfT686S7YmkGgCaWDj1thQe/bLwIWILkq7MDqj5ON0xDpyckADYBbwGz3s6jqqCosq0/n7MwjNCVfXU+rWE2rXlvygMvGOOWi1dhaWx8+FtOPmFfdx7uhCzC6knuKcJFHAnSqge2PkkIbA1fGS8GpNkawWHITpI1KWg7q1/kcwBO1apNXuPX5RAzXV21dL7ITvz4Armqs1StpVQgPWutB78fjjvUmIh9CO8eldHvx4MuF8OJJsP+qf24d0BT/xcHEqhVHTW47gFvGoMJtu9ASWxIgVg0yL87RQKgwu98E5QDateYDI4+exMZ2xgPoFPEgLb7xJLxGmD/XSreOVVJQ3yvR3kMsAToJAIT1EDXRsHMKQKtS02ZSRC8m6L17b7MKF9mUBBtBRJVbnKJtQRuAKsEEswmceuXJBQWpilVNpSVCJEAdkwXjHm+xqamb2juJsoyWFRSoiYVKO6PMN1oyL5GR/YyA+r3zm4T1oH6jWmxcEzrIhx6b6UGvvjs9mzGMGcscUXL/YVkZ/JBUBfi86oQKInAMYBeZBDC8jSqMVIH1irA8s0otoFoh2/iPrUf117q2p09UVXj3VtVsS9JqswQFzyQAqIzMCqoef16AAqQHRnpk8Kz+p8W6wXpWyVgoZ61Q15HsWevfh68rdu8zTh9FnD7Wqv74nlF2AvqTR3zy/AFffPcc67c7gIB89BE0QRktIXXwQDo449R/XgXTi4DT/+pN2+udXg/kqH2n8azXwgW4/zljfi6qUvze1vZefUU+ENZrwvpMkJ8X4C7g8Ki2FyYbK2VJe5hMwC0RTh8p9Xq91Zmy1UTVwILhdkZKBbWSzpi15z4MBZ8+u0cVwl+9+wwQRtlrD7f7Ps6E4Y6aSJP/wYfUkluqwOErwuHrgjJoVbqMhPNHynA8fKX922BBXdQHnF87MOjCeEC6Z+SDIH46gUPF+3jAw88D2FgAXqsS1jik3SOghaih6mxlALUwXrx+wIvDGV/f3+D41RUAxvRKJwUM90A6CpZrwvHTgLL83sj34vXjk1xX4dwqMVog0NALgfbdno2maHSP8DAr1W/XqXmAOt44aQCzXrP2ZVgwCnSnwKUP+vZeMXc0NWw3I11Uf/QQtWpAsT4C++yaFL3TRn5zzBBLTNhoe+j9M0F7UBT93jzAChtj0wMfA6l6cuv/Bvp7CvSaqH/PKWw0F9CUW/VMA32HEi0xJoLPZxUiG1BPjTLgGzqcqaFy2tssgB0s2tugG6Env7a+9t5dAVRawOOIqI7fsEQQ2sDRetwcCHCBJ2YNorKKPvQKMBRZNbGHmsgCQLQeKS8EN3oP62YJK8AzQa50k9JQEXcrQhAwVzALSmGsS0Qho49vq5q/70XcekU16VLRLSEY9d0QYe59wy0x89/LWsVkO0Qpq/pyWKyKmrqAlop7oCebLYBFs70+vqT3T/r6oVLbn6r0qm0FDvRcjCLa0sFNLXa7Eq0ybTZeh4AyMoIDWYQm1tOYC2K2KFA0HNL8hI5eIavoalWu9RRbktTEgCo69dHtHgwhgY/PuehjhgVTZiPIpI6UbA1z//lu154A1MakUPXqcqniS6RBuojSxN3+w6AJ4jxDiEGU0RSWqymY24iVBgo5mwFQsCeYInvgluCWUemSeezjsPz+9DlrMESHbGrEvr9Ik0sWyKAjCZpSKEFHHflrWwZrwT+3vUCC5gs5b+xMzOZdOC6nJ0CfJm/VPsP/rQE7gaOufTrpgem+KCzWGgI0pfjGLFnRZ5EbACEFFhj2JPYioSm1g7Bmm3q9tVXI2hmRLTIysEZ9pwaDYa3WD6+BfRmVCqfJlWyqkQQY8Mir9m428awGEGhPpd/Xxd51OxW9RuRqn6kDtMNq7I5gzATa/J4/rwo44JeONsfbfXlBYwK5j6LVAIwlqyhTDE2TQtdONMj3cXzUrx2AqYhLryY5K8LPJX8vn6MLAxGSVs/qYEnFpmr6PdYB6TklScA3K9KQMQ8qFEkra1+sJ/gOOLhi/LZ3uNm5NBtvfiOL5omDvo8n3GTijiRiKrl+FqoLo9L3dFg8mNekd7yzMzahJ/BNLVqBH6Xamg2F/jCLEDj1KjMVIDKpr2nCRzBWQ09Gt/elMY0nzwSQIMPaniagsSi4J+c9TrEkIei9JEsWve/OdSKo6J51QB9k1SOytWoUbF2j9OgztZOOTGSPGam16ZAF56WNBCIEx/j9UUr/d6uAWh8kZUBmi2kWa7syEVSl3VtZMXYfI0R6TnniHVnZCrmA5hViyatsYhlnsvi6a5Ibmj1IJCw3hOVZj/latbr9HmzShTSGH1hwc33G8/2Eu/MOp2lUsy2MXE3EaFIBO+QMrAyaIyA9yY2PZIm92vT6THo/7+bM9PsPC3DzhR4Up49H5IOAvgZ2363IVwFlCJCgcbeQtc7sCXVfMbyYkJcAfrdHfOwCYP5qts8aG4dV2vjH3lMLjHcZw7dnnF/ddAXlE4BKuL6a8I9efonjMuC7+wFl1Xmu25iwmDiSVx8BdPZi1SN9uiEV0yoKAjZlYMe9kkAmwvhBhQzzYcD6yQpwsvY2QTzpvSy3sERTQPsMeWSEmRBnm6kt2qJTRkv6WZPc9YawXgvWG9GKu5A+ExZc7WfshxUP04h1jYCxV1Io+IOr92AS/OXtG6zHAeWgCsqaKZKxXxXYgo0RdaXrGnwv6Xikm1+dcP54j/PriHwFLG8KaFeQP4zKuDLGRI1AvrGk/h1QrSUknvSZXl9NuN3NeJsK5jli+XaP/W8vq7J1cHaZ7QMXBDXqawXw0fUj/vOXv8a/CD/F//ztAZIE+VonNUSbh1x2wPRaUP5j0ZVlGCDBIy9qCWdYand2ySpxT4ILSQE47FriK+bwFfXXfrywSENMWuIc3Pl2eg9no7/tuQWvbOMZtLKGVmVW+rMF64FBZIGYVwoNwXRhkdaUvqU6G/W6DAAxgYM02vGWeuQVDP1gtOpdk9c3Zb9GqwmEetCBvsHmt9VIkH1AYAJH1vVbsiYRIyxBoAv9GImmuLwo+gHvt7AepzpAKVMX9Bevgjoyi+/Rvlqg5hVPE2tpMymJtOcNVtVDMLEgaTbSFhGsgX20wNSCn7pT9WohAi9Flap3sdGqXHBMbxRNUTYseoCrfLygXFWMzyfEWBG4gkkwpozIFaclYV000rjocwF6oP9UeEgqpEBpwGNoyWP/fgd6xICdTrfeBIZWxSNtVzKbVJTPgzO3l9ZzbLapUYV92wMu6GxQ74X0CpxTe1owFFjZEvBDbUOJt/cTotYvrmi7BcM+6mO0AyX63mbIlb1n682Fx5m2mXoAwIYeb4Vd4HN1/VWe0O7gwTg1+5GLddWfCYv2k5RR7YwKEIPZfYX1zMFGqfQDzQ9cr7h5UdgrBt+j228AAX/eXg2ilPrXcoYLljUlYw+OnK7sIka2l6qBfWXUwN8T3Bq77/AenjIK6iiQXcHVzYwUCg7jgkCCIoRSGY/TiOOHHbAwZFLwSfebLorkjIs5uT7D1+6vMS+2Cc2GPowUgKsdQKT7dpM89/5T6vaxY5QAtBmeUCYGNaAK5r+1p/t7dO0K8D4aTVT3qY+kapW1qCABAFAZQD6ywEVv/PFV3acdcJE2qq0kH0vVE6b1WtXyWwVqcw7VMWjCZuecgyeieIglL8EqccpY8aBe94PP6JS+D90PbGxtSwtVRX2AhHTyFBGqqB8jgoI7GShGZeMVCJZw18BKs7W+aq3cMioPIGNUXYjrkDInHKRxpXFyIMev0ZNchiUBm2cTAnAY4f3QErmNR9IKntp1Y2Z58M9ofr0eKpAqnt2ccbObMV1FzGvENCcs9yOQCfIhIPp6Xagrb1hQ2ypoCsgHVfoNbWaqGp2aXwfJAfSZxn5uSz+PmkiVMXKENv3wwfaxwCjDakNVlG3FhS6ofQ5yehWS59pG+eTX16hDQL5S8R6Z9LwvA6OOGsRULwqYUB3cZla9z5Z4AjadwK//cp+4CrD/HmBn1GYf6bmsytDuu3kR00vY3L/tqbILoEGTwTp4EUNAjivaGoTVxNm8gmlUWRcgdeCDV0I84pKquXQfXwY2BgNph8sYANM34TnrMTQXENXmD7Tyq0lxvd2DTI1bArc4se/JbiCt/czuuQGTDqx6Ymlnew26TbzdSnYat4xDxue393g+nPBiHDCVhOM64H4acU4Dpms9a5ZnEbsXz7ppb65F+3/bqqFcAAEAAElEQVSptbbomUZIdwEuILVe6/PlRa9vfqF+Lp6A3Vu1q/U2Yt1rYtaEhIKeQbxqxr7UHWhlXXexGHOglmyS6MxbYe1Vn5/7XkGPaSrw4Q8TwmdJQQFLjqaD/t63f/0C/5ffPgdWAs+myHtjtjIBVDTB1RhA2nniM9nXnwEPwWNIr3QqAJyO0nQ6yKa33P+BPry8F6AoA2m5VTYYGXi9PBPkGwVM5BRBmWzCiel9VFVrXp4T8F7A31SEoMys9cZa6wrplJN9QUgVMWhBYlkilnNSUbxQkCvjy9MzFGGEdwm7t4R1IqxrZ3hRBtKjMhniWWcTS9DCD1z5HTqH+PFnB+SdjbUSwtWvIoQjxrtepZ5e6c+nDz6eS9WhdYqJVmeXHHE0FksIgnWoWG/Y9idUcfr5gnGXMR8H4Bjbkc5B8PrFA66HBS/HE+6z6reE64y6qoI9MkG+jYizoJxUFTqv26Dk979+fJK7HyAUG0XYaW48K/pc9nqI8cIISQM6XrR/rewTsE89uTBKV6NmMSNMOje2DKyzvhgoFnTpDD1NzOKkS5ZHraIND+Zgq7SZcOS9DRUq+kGaDEq1wxpOv7HDyJyyCzmEuWI7y7B4hcyCICqK2LTZeT6e1w80c9x+r1SAuNaLAL+OpA55FYx3KyBAvgrIh4A6VvDMCFNBOq8t8W4KiJuYCNAkK9qBE89KR/CRTNNBLugyKsSj6KA32bc5c3ZYKnCga+rjCHx+HGoBT1Yqoh0QLTGK0PV1uqYHHxkAaqtESmTUMTSqqzbSV4TzikqOqBuVqYEOuq5hVmdVR/3i8ryiPM9IhxU/fXWHQBVTTqhCuB0n3KYJvzvd4v5xr2dT8EBga9hPExs2aqkGp9X6x1vvrNOYWy+SwB/sxdxN783OFdu5mjrHD6DqgTL6HL1WbVe7clVWqgDtQqtCkVUaXAQNQA/OLDHx4N97LGvYBPhW/SmjJrnxXBDOBlZ5cGKKiL5ny0ioluT6aJKLMT9PXxYc8iI9YNoG8PDgRJTWWdGr4lYNR9Xr7zQo/f94riZupEiC9uBokJEXlbHXQe92HVYt5lXFKlpF2i6eYJVKpzVuq/Kk9MkG9jgrYdQxTHKaoMo4AU1h2eaFtj9JA33aJGvVK7g7RajLqAGwr2+FJgPloCCO7AvS1YLPn33AzTDhj66/w8t4xFQT5hrx749v8K/lE8zTgHoMqIvaE8UIkVV7iZvcJ1RdFGoPbrdNeXHbFGTJeo0MuUq9lWCTPHCpoMVECVfb64GQRw+47aOeKFC2doSW0Hm7BGClF/BaEQ1sc6E/94c1qeCI+xEune4MsdFHLfFBS7Q4C9jUf+vIDWzyGYLrFTd/o4miV54Eea/7UOdAauBEJAqI+dpYpYEXRii1Bf3cWDFo9HyxUXE/uH8skOeVEM9AKQK+IiVuGAvI187HfGQijIu0UXveaxhOmgSWw2AsAr1WngvCvQp7tb3nrK0YIDubgevP20TaLvapV4AdmEqMGhUI8bE21eizZbC1s75XsYQA6LZR9hV8tWLYZfzixVt8sn/AnhdErvjN6QX+7duPcJ4HzPUAkLUUTbP1+AukLn0dfQ8WHYe3XnFb09Z37i1Qfj6bb+Btn6lV8Ht/N1pgV4beM6l0YLV1B4+dwimsz6f1XhPa+D7ORq3NNic3V6y3I5ZXQxMvAoAYNVB1unf3tei2ZcmfFg40ECljaGeNV8DWG73ucO4VwBpV4CdMVX/2oHs5zLqfis3F7AwkZeOxj4+soiMQb7T9aL22eMt6gMOqAlkMs23Wr4XFChiGiVfrb3QBtRqVwk5ZRXdcLddjg57k6vrzqpVZF4IKU9U9UG1cEIB6PaBEA9LmDAmM5fkIiaxtd0vt1fMKBWUNmPLPdhBAKe/6/1s1/1Z5thaybYI7PJvxjz//Es/SGW+GRxx4QeKMRAW/W57j3z28wbvpCr8+DlhjwvSCcfjoFnxewQ/ni7jFGTIuVChRwIuO0qEClD2wPNczN57VXk6v1c+lR8H4Qf3c9IyRr3ScUBkF+apCkiAcGeFMCGcGv7cRlCbulHdAHaHjj+x5DR/0jL3/Y2D9aAUmRny8rPidP1VRrHBixKMKM+XXK5AJz/9VwuHrguMnAeePNXFfnitAGB+UVVP2Nn91EMheqRb8YGMD/+CIn79+h68ebnD/3RXKog8hzIR4UkBpXTxZFtz/sbX9DZbkjoLlRdXZv0bZXl9mDC8mLHcj4l1EWFRESyIhnTUWXK8Z05sKXhnxpG2b67VAXqyQKYAWguwqrp+dEbliCGqL6xyBh4SyLwjXBTkHfPnhGZYlYv814+q3FcstYZnsTF00Xo9Hm0V8EqRjgVBEPBNqpjabdn4JrNcBYVLq9XBfsfv36mvmZyoMtl4D06cZfGK8+NeE4VET3PWKkA+avEsSLHNErQRmQYwFfJWxWpun9twIPn71gNeHI/68vEG5S/Be85gK/snrL/HH+2/w6/klvpluAADPbo/IJWBZI/IaICEinrttlw1L4G96/Xi6cq6gVuNHT2KUo9bpVF658L7U7csQOX+1QN2TgCdovs/L82Sg0Ts8cKqWEFVTdTaKnFRD0VqAT+gcYlw4qdaf4RVZMVSWdNMjUHdkZMnxtqckbtBdtgMR/RB3WpX3lnoAqf1c+v0ycKMdb6u9CEoJ7oIZPSD1ZKUVFR1ZbuujhzLbcHWnYvJqfYpbsNsS3C1FWfuCNn9v4mNp81KpVf48SWmBj/c4ArgQTfJr3SRIEkkVUEelxhanexkC2g4Rs4MyAGVQtb+4z9jvF9ykCUMoGPYPrcJVhbGPK26uJkwpYZqDDtyO/Vq06vZDQWZtQQPsoLsQjikaWQgJuHJLyPT+NmsrouI21SimZkewAFWkB3c9+IeJyugPUXW03uzcDlLefJjYZ6FAn02kSzv3ahVTq1x7f5QzGryyqOBPZypcHOLYVNfbPW6WzT+ybje7HqbO7Oi07M0h/ZQ+7kmvV9Qt0KSnIE9LkNAEqGhF69n3YKPbOFpw26jSDnQ4YGABbbs292NP/RkAsvFgbfTMtnJkya6koG0a9hl1iCi70CpbW9pmeyYRisoHC1iGgpQKxpixCxkv4xGv4wMmSZhrwv24x28OEx5Z8HhIKGIgygWzYrNw0pFe7wulYGAIlPatz1NtRv1V3yc/JLjm1Fz363HezIhsnwXUrd2RNGQaQjq9q3SdARFuSbPPB9327DfafGRU1EaJpaJUX6UsilK8W7IKQLRH1KmdbQ8Eqzi3akzvG61JJwbU4CApIGbntFnPlrRFaqq4F3YPNGZIYz4JvndeKkWfGkjTxqz0AnyzfR8R0kFL8+VZE3ylZ/Zn7+wTyqrc7qOS/I1bZb+iafA19oNQZwEYKwFAo+BvQQixHtA8srESqAnRPKUpS3TGQsXhasH1bsZn+3t8Nt5hxysSFcw14tfDC5TKmFJtLUJ62Xo20lN/Xvs51vopjSrcAE/a2LT7EY8jCJ3q6j9eL32Lxw2A+Wba/L69p7MzAGozRf1nAGXLgAUkAWQaH85i89hAgimuN7qzraEY4LLRAtGz0uzMfEsd0GbLt+s3BoD7/DxqcqqfRb1KbfFPjc5gUOph3gVwIIS1dmpwWyd/uJtzwtZJ9RR6zMErECeY/oWz98x3i65Za8XgvqeaKBPakdnWxVtXAPTWFGjBgTbaA+1l50sb77Rh8bh4m0TziZbUeqtYbRVsuy67zjKa/xjMpw/aWpVSQaSKkTNepwc8DycUM8gPvIBJELgipIo8VGOQsPbCP3nFs4DGjW9kP9d1DeOx27KoG23jbzwOVpq9Jclmv7yQtsCsFkuK/Y70CrpcA+uVIJKCcTUC1arGNVXbE31WfQMCi8blukbGSFu4jQFqYmv2jMNssU4EquUMYdFGOR355OeCgFmQLIFEZjsPFGBYbsk+U4s9JAqMgwT8yH3PEpqatzAQHhlLGBFcQbn4uaB7xtcsnPVenaXFBSgzN0YTFsbxYQcOgnlU31mXcHFGlMyYTwkyBezm7o+2WkhbUpzSpCOWK7ffvucoK+Dfr5eaerGwgq/xTEjvFQTwViN/H29tBBh5jqhVNVIgQM2sVWNsrr0y1hIwDAXHW22v4iAIoeLN8ICfDd/hu/UaWRgDF7w8nJEr47wmnJeEHA4gUXbq8ACUv6P41I9Ocvl4AgWlq+nMWKVQ8Mapufz4eh0VLTd0r9GWA2n1hNB+J0wZEKDsozrU0IPMMlIbQt0UdqMa0PhOF2F6rjs2ngXDY70IJAA1jDJqVWEb1LPRh13MiLP1jFXdJCTQKkui5jBAwHKln5f3ihq2RI3R5rcqMqvoZzTJbiFLUIzW6dUbd45cRBvIZ1PDFAs4n412ABTwKQOHiJyCOakKsQ0qhijnvXHobZ5f2RHq0hUKG6XEE52gzk6Hz1fEU7moUrZROZ4EMEMOYwveNRCqLTEGoAfIvGj1ZT+23t32TCyR96AgHwLyLrXGeFUzRXOGDTG3w8IV+NLrM37y6g7PhjN+cfUWr9IR/9X1v8HH4Yz/+/Hv4c8+/BE+P3zA37/9Cu/WK/wP4Q9wut9hvRp05JH3C9dNBm/CK1IKqPSxJiX1SiqqqDq2B6asib0nTgB6D2zVsUJUqub/RnfUGdMCBKfvdepj6w8T61NyCu6iYjIunFDLpbGzBbVi4zBakGB00G3QAKBTwgdNQsuOMT+zoNyWxMVB1FjsWdgh6Ick/YAPoqJr5aNv4iwY33tlpCeTF3ZzsW9NcCjy5XVveiJ7AGLXYXsvLIoqh8lt2yoOp2oIfVFhsC0YU/wwtmcGNKrmhXiNf2ap+twP+4vkoYlMRRWXkhRQbgfknbEXjNa2Hrj1JSqAA2O26EgViaI9ONaHe7iecb2bcZsmvByO+MX4DT6P77FKRAHhZXxE5ILv5mv8Mn2EDw975P0eOE962SGAWsMS+j2IAGtGmLLa+SEae4Yu+0eZmjIjL7UxPNpz3FY4KpAeM9KDYL1JOL82JVqvbOw10PYgcks5DJM0BWEAKsgRdXxbjZuExqm+W7+SFJXOew1AXOQnGsrugFkZGOuNMRYGtL/b0Hm7jdUBJAu28h5Yrnvl2SMhfW9q9FYXSSyjgka8VNWecHCYLKGxa5FogouTMR5Yv0dZ1fxBDGPVqm2X7efDnolgvFdWk65hNdaIbmRJ2ntPNiqOiqlmrwV0nuEUZO1RZB2hJmIJMHXRHmhFsKnjBka9Tsb+4E7hNj+0XgXUqOd02VmAGvyaceHjy3VFej7h5mrCP3rzO7weHvFf3v7P+Dx8aM/4Jpzx2/MzvI1XOJ1GZABlsHPI5lRfaGYQwUd38VyU0se27tT3XZgFcdaxhE14zN2LPUcHTHRESu0VWWOTlOTnv2i7pCUPDuLUAZhfKICz/5YQT9o+4XTI9Ub3J2cdV+QtDG7vgM6rvGAWGdPNz3ydU21JWgBqNF0BS2aWW8L00hJK632rPhPWbL9GwnoTe2IqQLGYxgsPVH3v2Vg8AoaHiuFDbsUKP8/Uv6tYXaN8k4paaT+z2uT4UMAGQq9WIVM1XK0+pke9yBpgVWE9Z3kSpAdXK7U9a3usiWeKVpipStMQoSUjrlptU/G1LYqBpinTVLbtfTAE1VIwJl9N6hf03FWbYrvtMgLzS6MQJ+3Fxe2Kq9sJt/sJiQtGzvgH45f4afyAd3WHu3rAQ1VaT+KC25sTTmnEen2j9G+rgG9kaHH9RcHymWC9pkYbraJ9qyTA819m7L864fFnV7j/WQCKJcZVbarulLKa93rvVAGaScd0tdY7B0vUBw33ar/HnxD4Jycs3+2QHgJqAqaPdaSOGi0hHBnjW/d99h6rAYd7QX6VQTNj91UEL7qG51eMfFBfE2ZCfKe2MH1UUfYVw9uA8Y6Qd4SlKONKtRjUTs454TwlxHutINdRUBhYXmiFYPg24PoLi4MMzN1/rezQ+RljeaYxxO6d5hW8EsouIUwaq+c9YX7lcakCAWECbn6loMv0WmPadE+gErXtaBDE+4D4O21VXPaa3LMX8ey1nhP2fzkgnmxckPl/b31wAap0ArAAx08Z0xtjZPZWbaACu7eC698WLDeM8xuNp+ZnAVSB4UGrwNe/Lbj5wgCHRChNENAq3yet6J6CjniKjwxeCMvLgvh6Qq2MMuk6H6cBpRI+vn3Aq4++wvv5gN/e3eIwLvinV3+B/2J8h9+uL/A/3X+GV+MR//TFrwAA36w3+G6+xv+wfw7KwPCYcfW4Ii9n/F1eP76SWxzatI3llS1DvVr/mVcjWMVdBNDqix88vlkc9UR34NsEtQkEbHq4xPrTvFJVqyH+pD1Jtc0y7O9Toz60hojaSnilTOkjCnv44PmGbAW0AN9pwltKqSciEDQ6SkMYSQ+CunpfiSa4LcGIm0AuAiBCIOnXLv1zAQCzJ022jL8P3BBHfRRpddq00xsoS6dSt2BNGqJ8MRYIwLbC1V7cBabE8/wNxZFkQ++EPseGLlsV15FS7791xU0HOmS76d25xs1hEStiLBiDVrZGztjxijfhjI/DgJswYeSCqzjjRToBAPbDimlIlkBToxX+8Dq6vdp9uhKlmD2LPasCHeNUBJCq+hueuDnyxoJG/f6B59b6VYgAEqviwQItRQKrJbYQP3TUyLbJhcfQTqcEQa/HH42XfloJr/8RS2z89zxgLwMu7FwDc9tLqyc4/XsefDnNGiZEVE1vgdp1tKv4vn1tK6ub56NVcWyiT7Vx3Wu+HrAE3BU3pSU7bRSO27iLiP2QjfvrafV2W82H7U+fOet271UwZ4JY75dXDbWyRa1Xq/V7RkPBk9qABAABoKCo9BgK9mHFPqy45Qk3vGCVjFUCnocTXsQTqhCuhgXnUZUnpRSATUjt6RoD6lM2tu5JOAO9wugB/yYW/t77+PMBQee3btZ6EyB1VkD//1Y1Nda3VECKMV1IgKQfXq3n0MHCbaWlQq/T15A8UCMDMYFmcBKogZft72Hjz5/eom8X8UpmD+CrfYZvACrG3IA0xoODv9v3aufm01eFVp3hgJr7ZOtnzLg84+xaWgU349LG3X43QoCadInNaq/Nx128LsCcy2d78X1Co4grK8Guk9XOHcCrI5ooIhjWOtSfifYLC4ah4GpY8TId8To94hUf8TKs3tGAG56wCyvGkBFTQU4B0iTz7bq8ytwW3YCn2jU/+nguaiItslBrdWov7mdVK5379fraF9FWDNsj7g99TyvwgcbQcOaGxxkOovvsTiHtXW+2LNBevk380W7Nq+Fu237GBqhyMEljALQEIymrSFVzO7iz7Y0Wv+4Mq9xpEuGMBxfb9D2HxrQyW3KX4owZT3hhfs1t15lrIlbtE3hVusLAZIIB/QYqbO0G+h6tqmtgZWPvtUS7x1LE0ADQ/T6F/oy3bCEmbHVZ1G6tWBI728lnA7cqKPdjy3taxcYdCgtCVH+euIIhSFRwyxOec8UsKyZasaMVAxdlp8WCNWXbO77vLvdr0w+wOEl21ka4M4GiKuCzKcMPl35OosbA2lvb7cCrgJz7WST2/Gr1v3UNUipYo51bEah7FTaSzLrWFuO4DyMyIDVYkrfLqGtCPHfwq466T1pMYTihM2yU5YLOhhCL61mva84RUvvD8AkF2FXwUFA/+A11e1JWgMdw3messUSedf+HWQFUBW0scQ+2X3yaAzzvsHNt7r6gVUbJ95X1yUcdgSnm94MB9Z5f+H6sm5itnctR9Wl4NZFCga6PwDR7Krjwhe+BAPVk8VLVmeoK1vV2Ft+fZHuSzA81VoWP4BNRHwUgZ8ZqbX1XccFUEmJQavaOVowUceAZh7jgJk54GR9RwPhQ9khcWvxPFeDHBSFvs/bf//rxSW5SZA+lQsaE6dXQgzXeOFv/wElaZakOesM+r6wG7UUDAB5cplrRuHwVtcoRu/pee7h2QJZBML9Qrnw0pbY6APMtg1cdPE4imJ6HhnhskxkhoPjsK3vV6KIQAEgrW6p0qo6r2OB373XazpUK1v+2XtsmeuB2WBTrS2tUBTNKXgzxtUOpVjUiYSAeteK0rQ5qhUmdeFisCjGGRkvgVTB+qBjve5WYM5AepKFmXNAqgd6P3O4/qQGXMcAVQoXERJ6oq/sWAS8q4FARQYG0GrAa5c3p2E7VJA386sAo1tOnSZ1Sojy5zTtdq/VWg3zvAeCZECbvRdUxMWAASbAuEb+7v8XjbsQ+rJhrxP9v+BwfhQcUIfzp1VeYa8JD2eFcBzzfnw3d3Gvf5Jot+NkYRwjaR1srZBwwvd6pAMj+CV1tc4h7cDl8WEHzpkLoY2YKVFjL+grroFWVFuDY3/lqww7YnmEVGD1wIAck9LDXmXru7LglED1ZtaC39ApQo8c1oIXBkbQKdsAFDbQO6LQ43z/O3MhoFdtm7zu9dldQ5Ayt6hAh3MYWxJAIInRdAP1MZQAUQ881ACciwMZHuEK105LDKqDH2vaZ37v3xKtzF6T73JklRSl1jZ1Q6uXNbYPk9YmAzRM135bgAvAEV1LUPkYfjWUU8PWgCsp5r/tuventCrr/oL1aTl0OdiizIIaK/bDi9f4R/+j6C7yJ9/iT9BavQ8C7suBBIg51xst4RAXhkBYMcVSbKAUoxeLI3qso09Keo4wD5le71rO4FQjhLM2G1PeZkjwYjKr0eKOBev+aivz1fZ936MrvUQWSJMHGmPihb4E4dCyIUo3133lHbY2c5sblMjHwDbM9h/SgFh3p4Umj/UxJXlEn8+8KoKpiZQ+atlm9o+T6PbNJ9wPFk1BBOum6xcl8rQNREbo2YtVC8wc+Gs4VX9m+V650vBRlPU+VdaNtNH42hlkFR7aAQksq/NoEgPUhOu2WzGZljKg3WjXi0wI6L01Ffws00VpUFGQXUVNo1F8RaILr9G0C1mvGcmNgzkGvMx8UoOQM8KK+a73ua8srgKptCYErbuOEZ+GEA69IAFYAR2Mt7MOK22HCm9tH3KUdyvBcR3rFCBlSB9RhMcd5gRyPqD9/g4fPQ/OLHjw2kBEaGPLO2AXFgUW0Kjs2NuTJnApBaRXMVYslAKePBfmFVqjiUTebn7nrjdElbUJAv14dpxMWrWbmK/8MXPhuD2550cpT8++A/p7HPdmCcKtYuyBl2ztQvwPS62CvQFuy3kStrKrDi8Y7mLUSzZYMKFil1Xsd5VMs7hE0EN0mYKiIYn/VQW+oDGSxn47BAXuCoP7j/JFeX3qQ5tvVD2gswYvoiK8iCKVX2l1AqvluHxtn4E41jQSQsTBKQRlD08XwNrhg+3S9jjrqbSTkg133td7HelNRR9FYZXFgyaqAg6jSrD3EFAo+Hu/x0XCvdk6EZ7yC6YhpeIt/cPM7vF8PyPUTlMqYVyDdzaZ1ozPW/XX8NKI+1zhq/umC//0/+h/xYd3jX3z1ExyPO3xX97h69RIPPydMfzwB9yp0wxmYn8PGvmjsxZnAs+6FeoMOtonu4/WFOsjz55pAShLkt3tQJmUqRFFxpSA43JyxH1bMbwLmnyUs73d48T9qf+jDzwnrTQW/XPDJqw/4cnmJm1+rNs+Hn0fbI3pG5CAoe7WH8a3G+fkAnD/Wvtx6k835aPK7nBK+LrcoS4A8d99Xe3I3B8hOcPycUUfB+ioDsWJ+kRDOlpRbISGe1d7yJ0Gru4tRpyuw/1Yu9uP8nHD8qapd77/R78Wz+remaI6eO6iIWm9fOH0asBxUOWy9EWuRoaaef/W7grxnnD7u7R41EOIjcPgtt75vrdJqXz5V4Pwq6llnJuPMqbInnEc/EELzZ03rYfHRSXrNda991EuwXuWxouSAcooYvlGHshiV/K/PL/Gr373C7rDgj16/xavxiC/XF/jnVPAn41f4Tz79Lb4tt/jL+SN8vd7i//3NL/DueABV4PQm4KoC47KClhl/l9ePF55i1oDGmvnXg6Lh+XCZ5Pb+FGCM2gHhVVAdBVRbVaMF85EQTzbPbNTN2w4fugw4BIDOxrPSfOlVXGG5SETyThXl1DHLRbLbxCGMwusCV2CgFEUqq6NSdoB5skrFv67N/e3QGHTsQT0rnaStCzaHkyFT6Yg+uNuQFa9EA2iD4dtolS3F03pzPbDwHiLORQ/mg0rAq/q1LoijUZxVDEiCH049OPSqKmdAivVweR9tZNQhqIO1pJDE1IWL6KgD7xtmUlBkkwBsxwQBBjSMpFSZofdqZXO25aYAQ4UcA6iY0EEh6Ngl7bGrlXGaBhAJHvIIJsEXyytMUcvvH8cPeFeu8d16jbUGXMUF6xhw51RXD+Q2Sa72f4pWaqOqcWpFwh3Bxibh665URXmkdr/ez9wqXbm2Crt+jZpjhKGPZdRDxPt5tp9VjxqUa9M/erDlz47Rg19LToXIqphW0beSXOuvssCFPNhJXRRG53Fa8uWjCNpF2V8rXQRfNQD5qgM3IQCyAmz9ZGXoiR1VQjhfVhEBq6xmj6w2a2hrJ+LBt+77uNYLGyar9nmAqgmUUpQ7UFQu37s//IvqPm0TYPJgaYs+4Pv/DgwZU6Nygi/F1PJek6p80CTP0WhXUG7ru7ENYkHiikNc8Fl6jzfxHi+Z8Yz3mOWIUxHseFV0lAcMXBCDHuitJ7cUyFZ4Kufejx5VwKlsnr+/3K8r+8MOPyYIesUS5qeoMTzQKL5tLmeyQ9KodI7WVrsE72OsZpuUe8tC+zupj6JsdFBLVtsMSjt/fGa7V2O2yDUZGONaCmWn75uvxJJcVxHtZ1nb6/kyGQH65/rPh8WrXDZL1c3L1sRH0FFRARyKAilqW66yzGsB5Yq6N5q3CdDBEgo2UKfAlcb1ubYpBBaUXrBrrGLfKm32dbCCjyiiSW5WQKSpJ/vPWduFnr9kuhf1Yg1a+8lIWG7VF+UrA0UMwKEzAYs+u5ZcmQBMA1ao23NCRSJCEWAVRhXGyBlXYcHtOKEKYYpAq1hHL1X0a5dlRT1PSp++tW062xqZ7XAmVFOd9daRsOgRxkvvYe66Cf16/e8ymC1akpufF9x8/IjTcYccBgU7VwIqGXURqCvAQ7c3El8LMVAMLcn1KlNjzRh4re0Y3R6Vfq9AEJHaYqOKu+oqQ6mzbOw4hvlY37/SWHggrRLVKDrjVLxaZDEYpOugsAl65cv2HV51sb3ivT1DGxMpPukLDdZLmAV1r0l/WIDhg4OYaGJfLv7VxgYtKt4lKegf33u2RkTevsYNpNFqlZ4RYu1oVG1+bhV4c3p2sUD7UwetOpZBUK4raK9qsXXV/tJ4smSQepIrQghUcR1m3PCEhIoAQiLBFTJe8RGfpjskKvjr+BJD2GGpAJ9WjS14s4+hoKnYM75+fsZ//eKf49t8i7UGfPH4HL/5eAQJY/q44KM39/guXSP/9qDJ4rWg7KzSbH2xvGqc5SOwFKxWu423C0IsiFH3//H9HvwQNaY7VG33CwIi4Ho346OrRzAEkQv+TfgEvNxgOKodylix2y/46PCA36bnGN9npMeM+58ZvTfCwF7oCL2FsP+akB4Exz0hX1fIUBEOGVIJtSTdH3NAdkGksehSWfIlC8NVjtdnFXWs2D2fEGPBvMsomVHnAJoD6mPQ1o9sceleWj4TJyDd6x5w7YmyF6yvVwgnjO+pMRCoaB7Co/mYJGDRfl9eBMOjgsjrTcBskymU+WJ9s6akPH4oBrZqG4izS7WVTenpyzP9jHTSVp0auhCtn1XeaubtoM5EpQKkozIqeOlV/Hxls8tTBXzCzEBAqqhFwYV41D20LIxaAspDQnhknN8Q3nz+iNfjIx7qHr9ZX+F/Mf4Gf3844F8v3+KX06d4yDt8e3+N6X7EIJq3lTvS8Y1lE7f8Da8fneRSzkAJkGWFUxaL0RtUYVA3WCuxP6HUCJNVt9QB8iIXgVwdGKCEarMKNWnU9/VXNU47CVpzulOgmpoqoD0iQFMfLDur3FIP2toBtaKL3zKhkqBeA5qEUEtC/SBfb/RH80Hs+kT7BjzBX9WY1mjJij2fPl7D5M5BdiCYSl0xenEEqEaAVYG6qRbORSuDJpbAAGplezaaQEkkFBvRFGelX68GQmiv4macQNEECJB+YBm98+LlAc5cEJwS40IjNnqpDhFkI49kMWpBsUpcikpzIzT1wYZ2b/KDFhjcqJofAGBWBLYcpAtlbSs1AkhV4bEqhCyMUx3wUPeYa8JkXPOP0gMeecHX0w2mHPWZlNop1dserqIVASLtQ9MqswZtTnX3oINXRT3T0QKJkUElKlhjs1KfrpVXbS5Q+Q3VXakngrKlkFVDtmGDt63StqV/+fo5TcsrXDVtlDAzwefHAf0zy6iHeRktufXrCWjS8R6YqC0DEFL6uPsfQQvwWlCUtEIXCM3WOatCuh4aZjttxIkGkq5OfCH+1OjA9mejWO0iBSABfIamdJtWUSIPbKtVWTWQbPOQ57V/72K2rJijfdKn+zS5tdmtDV23oEpiD4ayqZqWwStbZgTbfeD/T4aIB1UxTKGgCuM360tMkvDT8IhEE4oIElWEDa87ckHgihIJvN9BSgXWVZMS30cxgoLyevPVgPPLYMm3BfJ+adnnexJG7kwQKgSptbV31CH2RM6ZAOY72Uds2SNTUEsDKknq95xJEk9q425n22SyzQ8etwuG771aEG7tAW4PDdgJMOo4mg/vyQtQrIocZg2cGzveaOTbB+Wj2TgTyKpgvBJqEMSJQMn6aJcOxigoYH3M4hmLNCCzjhEY0fr+HF0XUmEuWFtLWHAxn3ILMOveMVCmWH+727OYbYYBYAbPxsIhUiZC0tFuVOzscfu2qQq8FD2frY+R14oKRt1Z28nOfYkgXwngwXMQZOc8As3uy6D3hKDA5ZwjPuQ9EhV8Xa6x4oRVGKsELBJwLgPmGhGpIoWCiaHzoEWAZdXM0R9TCqDrA5jJlLEVtCsWbPrIEa/O62QB/Xqcu0J3Exky/x0MRHB9gCbKF4wVMOhNznNCWbR/TTUFqLUzNX/qj8bBS3ryx9ZKafW+L9F67/JOe0cd5PBpDzUCaHT87pspq1J42Wly6z2MVLhflyW9LuhUHMA30FyiMeeKr5cBVl6pvtb+1zgVExft26a1C/m/kwML2icqcx8xGSZl7ORJK81hFaRz7UJTbP7f+nNVQEmFu1qbhVHOGzibgi7zqtoMkhgSkj1fYzrU3jMM6H7KqduAEOCjGpXVZ/5cAFmtcrwrEGbUdQOIVEKIFc/2E56PZ9yECVc8YwXjKBkfasBdHfFQ97rtqKIKobhPWzMQA+pu0HMZm3Ud7DrWgP/nwz/A+3zAn79/g+M0AB/NeHyh4zq/fXuDOkUszzUxCmdCfDQQPeqz8r75+EC9zzsA8UjIX+1QomAeBGBBup1x/eYBH+4PwDcjJAhev7nHi90ZFYTjOqBURq6MvAbML3Xm7npTldIswHfna0hmTC8j8iEoKOMFIissYbEk6gYGFqsyc810MeJee3PtXM0EykGZQTZjHnMAn+liD6aUcRhWpFBQKuM+H/RnADx+nlqLXzyabsYLQZkIwmx6IfosxveEeBrgIk8g7fdHFYwfdAZsPqhStFZc9dxbnlErFOx+NSj4tJPWNkBZz+bHzxKoAvtvFcTOO8/DqOVgrpkwP1d1ZC/uCaExNbz3ugGLKxCs9dXnfHPSz/XkuPkFtnUtBJQAnFUj6PxZgQRBfL5g3K04C1A4Ig0Fb+crrMIIqPgQDvgk3uFVucdD3YGp4irM+MnLO7wdD3j89iXiSf3Z/AcvUeY98Gv8ra8fT1deM2TNWgEgDdjqoNVSFQPSSkS6p1bd9JcG91AEt4jS3BbfmJYoJT00t1SWMhhyYs5eosmFOw3HDKEMZiwP+nPLDfXKLHqFTKIq8gKqlKbUM2oDr4mBSoSyh40s0j8ODEsE1r1VIdIG+WJNGuOj0j/yXiBjBa2kVCTpIi5i0vhOkeOFMNzb/ZAmImJU4rCwfm/t9GVkS3CJ2nBynfknyEOyHgzoqJREWK7RaG5h6mtJIiALJpuIhvcVWcLSqgGeEC4AUkTdpwsakCcFvGSw00ytGneRFHCv7Djw4X2nMCeN2xVpKFg/jOCJIYOgXmdVyPMHobEWUEmVWgHkGrDWgFMZwBC8zwccy4iX6Yg/3f0OH8oV/qV8jiUHPSCLVaS3VGUAqAWIAzAk1H1E3hHyFWF6rUmbm3U494A8TOrkalK6b6oCzFmTnmTVvMitP7NvDD2Fe1Kp9NTqkviA9rQIkLPuoTBRCwg88d8muY0V8IRi7IwHpddbMJ02lQk/tI3NUJP0JHdnNJ/Gc9ZDu67cer221SwAjQrXVEyNHtZ7daGMjjFob8e0bvqKbNyUC4csSgFXOqZR5Dyp8z4r+90wV6saoNNnoyafnFVYRgNW1sqY/66IVpAToVX5XYl6Xq3y6acu9f/3am8MynaxIElcHTVxYymUnQnWjYJ8XXTeQqralzQH0OKVBjugYwVFpSuPISML4zfTSzymHf5k+Ao7mrECSBAECIpFkpErxlDwMAC03wPrqmfZBhGlGICYACasNwnTaxWbKAfp1Wzx5M0ST2GtHJ4VpPQg25V4tZ+XzJ93Ub2wAIC0HqEy2FD7oKrRIoS6Y7Ur6uPFqD4BZUajOltFigqZ6mNPiB08a1T6Km3URRMwdIGY5MGpBndC0IQsKt0wmO92IEL3h1zYufcp8gIEIiDrM1Z6otlWFfC0WmW/V2c7S8FAgCImROfKtloxUqq97r9g1Ocw1ZYQbZNnr/I4vVTHeG0cQdX/+JxmKrWNFxIiHXc1BtQxKmVxzh2wYdMeyBkYovoyAz6oVswvQhs5UXbmx24yOBVwEI05AZQarBqhvrvsRSsEqaqqaI64ywcAwJfpBSZJ2NGKRBmTDDiXhKUGRC4YuKiv89FuawZtk9whoGIADclYOQZOH9Sn8Zns7LUqeCZEBsTbKrJswBt00GG1nuzYpyx4hXS9NlYGi44GmYNVcPtjUD+tD9CTiGpFqG2fre/FFgOZf4/WKwixMSak4IL3smlF2hLeBnqqrVIB6k5AzxdLBFjBYtGz3Cu8KARYoC+jPiM5ewHBE27CcCegqZ8/JRDEKN9UBAGaLLoC+QXITQrg5r1W5/YPApIKORqYcFZ/XnYB6aD2F88VLiiqVS5p87QlsoIlpPRjH1GnhRGlixSr7KalgOcVItHGG5IKBAYFbsLZgVhjc410ca76+mq/uYGSouuJsSDtMnIIqKtWcv2MTCnj9f4Rr4cjnoUjdryiCuEkhG/LFb4pN1ilh+xVGCLGTlpWSAyo+4iyEcwUq8jng4DXiD/77g9xv4z49ptboBL+8Gff4I9vv8WfffkLnP/iFhyB/GoFMuP6LyLGd9KSm3wFTK8rUDQ2TY8qaJWvdM8OHzSW09FBgmef3+H/8NN/if/bb/8hvv7iY9Qd8E/efIE/PnyDf/b+F/ji4TmWHDAtSff3K8GSgXqbMe5XiBDeHQ9AIZxf6xnjxSsyn+V9rWBgvZU2IimeCHUFSjEAa1c1HvcktxDCAytAs7cYeyKke6Upq8YPcBhW3Iwzwq6CSfD4sEM8qQ0eP9e9mx5VbOv0CWF5VUCz6hCo4JTmEbvvBLv3Bcst4/Sxto/FI9qYH6rA8TPG+TOLUYLOAC57Le7sv4x48ecVyxXh/o/QqMecdZ/PzwnjHfDq38ygKvjwi133uZtcCQTMBnbFs57flNGKJOVaz1C/7jDrvZUEnD/SeI2ynr06V9v8VRBQqBBhwM5IXjT/u/nZB+yHFYG1IJBCwSkNGIaMd9MBxzygCuM2Tfg4vcFzPuNtvUKA4Fk84x8+/x0+XO3x3/3yJdJJz+WHn46qrvxn+FtfPz7JZZUuF2iQII6C76WLpQRpDkypYAxZuzhUDQS2MRDbA1oiUIk7SmYUGc7Que6m5iqGOhKpCIIrVTb6S8Vl0M79UGgvAVqVwoL1xm1H/101QMvzTFjBKw+N8tPWRt+zJusji7rJnF66HS+hc1o3vV+bPknvYfTB6C7+AwAyBqA8qTD591z118Qb/GtOcxC750YRcmVlV3405UDYqI422smDL5/7CbSKJIA26xGwNatqJwAafbklLHa4sq1F9equ2VHeGVpcGKXo+tWx9sN2U1HxD+Sg4lOBBFkYWRgFrO9tryqESQZMdmj0Gcp2b0O6THS1PAxUTVDzFWG90gRFklW9S++7an8cucs6OoPG2BFkS7ZalStskoBtovlD9gp0FsAmMHBQBmaz2z+9GtifjVR7hNwZDo2hsHmGPke435sdGAz92+F330NmW+09tkwJ2+MuNPP0vgA0YYOtYmj/nv2P02AtySUTB/GKWFvfFhhevtH3RpkB2CqB6w+pnUvgnsBuRdg21Pv2vR962b6Up+tiz7caVRdW2SI2+hrJxXoB9jMsiKFg4AyGYBUFcn6zvsIqdwgQMFXc1QNWCSjCiFT1oBFAvLWAqM0Ib/dj9Gudy4zGnFHfqtfCkyZv7AqbbDS2oL6aN/2kztbwCjwVAUW6DNrp+zaj12Nf2NqxHxX+jByRdp8NDUK3Y0ogAPvPGZJeRjGUnFrA76qt2wqupNpt1HwTbSrt4nYN9eGAv4dRjll6xcjPmaq+2OdtO3CoLR2uuG03ahoG/qKyOQeg61ZdJf3iM7aGtllSn19cKtqoN39vryKLXh8qgXwzVIBXU8x3WqSBlN6DrR+gz71rC6CPULE15VQQolajpFW/0c4jtXf1Lxwrxt2KMWYUIRQwjnVEoow7OaCA8d16g6UG5KrU5dzKPbZuTzQWamQ9P1a13RarjBoMF2ajoSvIwgTgpOvroE0DDyxeaEvNm/jDgMo2BcJ8pWR9WGWnB9hToUP3916Zb2yH6KCMMbw2/lRZDWqkPi1hW/VtvfZh6889WUeLZdhalqroMyfxfUuKRpAmw8IdhKiDNCCd1x4INwGgTUIOaLxw4SpFA34/y4RtNFDsYNbWjutAkKgJjI9/qlt69/f6z3tsIww9J6LtJWMKtep7YpDTmS3u5FWTO58CQAWqcl4FNTIYVuBJWk30+LeDvBarBEYpDtxBmc6jCh6N0doLoLHJUAvuZcRSGW/LNb5en2OVgKkmPJYRbP58oc3ew+Z8hD5T1zVYdhHvpz3mNSqBhgVVCEuNaGMMWUBJ5wA3cSzuLB5nfZVR7aL1ckdA9v7s9DlOa8QX8wuc12i2TPj6fIuRMx7XUT87RyxzQs0MsVZDFMJyGsCpIqYMsGB+qYUfKlBlZ/e3LTaR5muoQtkzTsNni80qwDeaQM9DUvJSFOyvZ4RQceJRk8YroDzPCPsCIsFaAu6WPeYcUM/GBSZ7b3FhQmpMUiq2dgZW1QQsmSAh6P4UtF75NjXD9mM46sggH0UUzgESBcFGMIFhgoVuzz0mywfg8XOtFlejKrcRkZtz1ttBLvbqKpCiask+1tSpy+43wqLhTU3AugPydUV5uYKCIEYVEy6ssZiDxYgKDJxTwicvHnA7Tvhw3mF5HJCHACLBYVjx926/wWfjHSZJ+NfzZzjVEav1R42cMXCGJJ16E1abOLA+cZq/5/Xje3JHVaChkpD3EXlvyMJHRRu6reLkisRlD5xfMNhEMziL9raSSqCHpaLNud3Mm3UDdlENCCm1bwdTRivKvUfQqvC6UfwqPWZtyKhVyAgAijbUQzoCAaBJ28NHpZAfcmi9iRKMk39VgaH2eV6EFrDWZOg6Q98gEmSo2t+66vqIJcCYWftbNiInzqEPc0WYq1GnlPaarxIkEMIpt7FLjZ4zdFEkXnSeWrZRAy6YoSgngZbahlSXnRoXzwV8zqiHhDxEPRDmDBgyqodAT271sytoXpWizKwJFxn9tOr3VNgkIF8r5zxMRRPryjoj7JZRdoT1BphfaS8HZkZdGHy1IsSK9ZxAx4Au3GXJQAVCLLi9mpBCwXEdUIUw7yIOzGASRCotMNLDQpBCxQoAtWqV+bCDlE3wX8wjsWC9jjh9Kton/FypLnKMoFkdR12tn9L6X+OkgW7eB5X6zxVhsgMtsNHGvLJHKs6S+vgSiWgMAf0lMmeqh3oLUCwmblu/BQzYBA+4TCqpHxQ2naALUdktCxtFhv2zlDlBo5bJKFgwnz0JBCh3FVgJQL2ueoAuuvfFDgl+msH679tYBrGqkI4sgfYQrkYHbMJ10F5Fi7dbn67tAdicQjTQB7aHKuDjith+z2n4FhDLaJvfaJk6XkVtWCNfvWcXC9r2O/rf3qPe2BZeffYfCR31p7GCYv0e61mvQX0Ep4oQVW32xaBcorlGZAn47x7+FIkKXsQTnsWTJb8jZonYhxVXacEHAeR0VirnkC4Tc6OlgrSKkq+18lauKhAr4kHVa6cPI+R9UoprAGCVcBGgDozV1I59LnfZa9UjnlVApIE6RvFzQBAeDIoq2lIUUy7d2KuBMB7gex/eyhtbj6K+YCITNepaBzXp301p3EBF78HtKu7GvNlnte1Vq1nlUHvg6vvEGEQ12T6xZKmKzZF092HJKZv41vJ8UDGqR60y1n1EGyNWfV9rkquAoTJv4sl6wIwS2/puHTDcgJ19X+kXwimD745Aiii3Ow3il6KVrVzBVW27zWIvate0ZNC0WEIQWjL79OUJrqsq51FVlL3HS5Jgf1gQQ8XxNKIsVtEy7YwGKic9P3eHBZ/d3uMqzc3Wv1lv8aHs8dX8DO/WK5xLaoEzAKxFK3ZIUUe/LQukdsG4fIgYrEWnRusZ3FfsX5wRY0HOQZVY70fIh6hB552ubxnUb6dzBU+2x1vbUQfzq6nZ5ys0XY4OzhKQKvi13lNdAqQSYL251XrrfCwiVRN6sepMvvJpCN2nAdpHuSSAZ2C473FEYyx4HLaTtu+Uxm4gWxQwV1WfzdyAZEArZvFso10+nRGHnn2uQphDQDgyDl9rPKWtUCoEFebabELXXzdqWKq2zKxVYz/0ggZVBq9s7VMbWyNgvg0oo8ZGw32FRG1HEyLs7grCWauz4qwbx2l21BSQffxePKofyPtgbQcJLvxWTAA1HnMbGyiJEbLdk/Vg14Fwfh0xP9dnk28MRDT6Jtks2CqM6k2TVgF7/uoRL69OysqpAeeS8N16g1MYsEjAQAW/nD7Fr88vsQpjqVH9Cgmu04ITE7qWBC4S3hqA/XcqcnRcEr7b3yiAGisCC85rwm+Pz7B6L+cg2B1WlEIou6GxADxhj49q38sLwRw0meRCWK8E5bXSMPleW78e7/f47/ELPD7sQOaP/+3XH+GvxxetqDCdB9R3A5AE8aMzQAL5+oD0bcR6W7E8I/BYkP/eCWUJuP6XIw5f12bT8zPC40/MpxvAyAshnfRMFROeCu8jqDCuP7/H//qzX+Gb6RpfPDzHEAp+fvsWVRh/9tsbhBnItwX/2Z/8BgDw3fkKD/OAd18+R7wLGIxxprR+AMZEqpa8pntuTDcQsFrSN32kdpIeCPtvYIwn7Zk/v9Z+WSrA4SvNP3bvq1ZSV/255YYxPVdhtHREi7nbKNVRMF0Dj7+ooEx49kvG/m3FOukZuC2WLLdG6Z61Gk/ZtInExhKR6if4VAFn36UH9RGPPwPWlxkf/+Q9/nc/+Vd4nw/4Z9/+HA/TiLs5aF5ztWJ3PeP8sMPwF3vUIOD/5T3+4bPf4c+/eoP9rwaUneDhZcLp2YK///Pf4r88/Dn+m/t/gv/r2/8UL8cT/uTqGyQqOPCi+/VQsDxL2H8nOHy1oMzT986eH3r9+EruRnW0BQfWM0bRUOHi0ecmoPafF0VYOor7BOEPG8qPv8RQENmgVo4Gk/fToVMkN1WwCwSI+vtRVkGlbQX1aVVh+34eaHUagNiIB6DL0Pf7aFWs6lnF5v2311F7cuHX63Ll5L3L215RC3A4siUEHbW5uPYL1LSrpAmRJuPUn9HFizfrdJEcabLsAY1XjHWB/DME2ndr7y3+s/Y1Rzl9rYBW+elJmX6DrCICoPVdNlESQ/Hc5lIqOKS1OdIqhHNJSDRirhFzjajWB3Cqg6H/l/cgT6on25fTxiUqRYNYUN3uNojZtvLkFEFzwy1h1YCcO7V48+f7H/zk/z1hkyff/4HLvqx2X36v9Sj94M3+wPu77ZjZXL4XXVRyG4vih97af7eiJaYXo4e8qs6i+4afXLiDK94vLmgUNGxsymfotvvJTxLR3/fa3OAP2sKTPeNzLX/wVdVuZXNd9GRtSeBF6X5p7ivcf0DfJwRBYKVQ6S1qZWS2pu0qhHlDbZtqagmArm3d0Kz7RfsIMDQBFjvkjCLNoSKE2gC7NvJr+4f1LQWdHrv93g/amui9UiVVwa2bCv4Tf+nuY+s3/8aX9EBfNudQo3n6WfH0PX/oQjfPwgB9XULAxlhtnt8PnR/bZw5fm26/4oE5AIJc+KFWlXJghnSN9Xt9EzcmtdP8N7fR17T7OVB/D3niPFzZGYDtU2kjsH4YidksCPUqwsVeF6BWRmUFMNqZ6C+3EasqxaA9tkyCakH+Q9lhqgn3eY+HdcRSo2owgFCFsFaGM0Ha64fGfgW+qBx7nzug1zj7eBzfOqRVaYb2hnGQtk8ccOxntxnL71smBpidnkgA+Af9zNZ2dZ6wbM6YjSHKJibxM0R6TNOei69vO3/ta4Am2CWoLbc/T5TFoT6I7Pl5Jf57Z9/2tTmvcHGN1MBZssqMi9o4e83vffv5W+C2CQ9uPuvi3OEfiG0uzub+vBqroFXAdJG0paUCKWwqJhvWnMWtLsjU4z17fll9GDH6WWSvGCr2cQWTsm+KEE51aMyzAMF93uFYBiwlYCoKvA5e4iaYWOD3bacmgM5iyRJBzgEyVKT9ihgrSmUcVy02yKBAppjvE+793G1dvU/ceti5krI4WBCGqsywErUtIzNKVUq1a6bUwlhLwBCziiACDSD0Fy+EcCYryKidxWTtK94XmqWzH548SwkCn8LCsaKNxYJNJOAFu5CxTzqOKRgaL2xADwt2cUWubEelbg5C/xw4kOo+psXpNuLKbbboL2lOBAMUxVSVtXXVe7fD2dgLq35fAaJqYm3c963Z91Y4kReLj729RhxMNcCU0M+VAp2n7K5jc+a1/eb+28/IzUsIQNT4I5DGIIErmCs4VlRjINWq7Q5UAAbhuAy4W7Xc3ybkkL7hXBOOon79tKpI5n3eIXJFotJjF8IG7Pobzp/N68cnucFuRAh5x1hvnc+u1QsytE+OrJLYxRYpmGiOKDKR6qY644FS1QCr7Anag3UZRCoFRMATo24GYFMF4pERz/pA5xcuXy9ARpu5CtjnZCA9Ug92gNZ3296zOSyB3BJyE3owo151Q9DMCDNp0Lk52KkS+MxNEpxN5CFf6z2FsyJ+6YEQtzOO7b6dmlYTtz4TGNVbAmlT/shqmHbgxrMKhFSjG/NakYr/PPeAk8jokrEnGwKsNwm47QpfNTHy9aAV9/MKWjK4Mp5SNmUMEIQe5MDPYgF2Y/s5XqrZgt7HesWtgims6z+8V7pG3ovST+aAVQiYGTyr8/Aq+s3LI252Mz4+POAnhzsc84hv52ssJeDPP3yEUhlrVcc7hILnuzPWEvDd6YDjecSzCcC8qFNgBpVND1fOpipiYzIqQIUUgeeO5HtP7LbHtAYCRgNmsgUqN9EcMm2qrd5ziAZ0OKVEJq2GSEJ/SbdB/0y36aeJtr84b4KFTfDvY1D8HrYvXoB0bxUKo3NCAurC2o81KvuCMhmla7OX/DNWPcia0IHoHuAVSEcViFK2giD4SB8/QIiawmwbwVQALY+ZjRmIgNYLTO3wcbBM94CAjedaB32WldArMVW0Su4jn1JUp7rxO2rTG3/jQmXbntw2c7dqL3oMTQGarN/Sn2+YFOGtM7BwNOEp/QjKngT0hDulguv9jIELZmsGCyQaHOUBuQZ8Pd1gLQH7uOJ2OKMK43EdcT/vOv2vzUzd8AH9HtiUQq9UpTJdrSAWrFPE8jCAzkH7co1uRSIodUOZtQpu9mpp1UNbRwZF7fGuaMJ6be7iQkDRM2Vr53EmVYTfJqpe/W3X3u3XKXph7vvCmTlh6Xujiu2Joo84HjtrSOfABpSFOmWzovdRbj6Pij2eRe+XF2MZZFNWtjmJfobVQFoNsiCm2SkbXUyo28gPUOD7OC8FleJJWQl1YNTBPq9qxZmNqVDGgBqU/RPlCg1orNLGvUlITS+hjalbTacA0PM+aW9us/1qgXsIqEkr9q1K7wIp5l/imcCFMdMB00ZgjbLpVJCDKoLx+YTbqwm7mDGXiFwZU0kN2AGApSgVfy0BcwkolVEqYV4Tdk/HKG7aFeIxQ+KI8myv9rsCsnJPcoQ0pljZ2ADUVMA5a/tP3hPwTINPVyAdP4hNbNBKSZy0v03H5Fg8c1PBV8q6yrMJEBatZtPCILcXW3IVF9Sebmch8OrCMd3HgdR+g/fEbxNZ88UNbLIe3fSo+6SMpDTGUwDugu4B60+OJ006alLBsJoE9RSxTLGdI3wKRrHUynUZ7TwRpfh6XsfeppbUdr09oCmUu61XQTwVhJls1JoJUE26tumsZ4YrlXMWpKPakwNANRDq6IlDj0NQAK6qH9CUq6sgvl96vBRV96HR802nQxk7ZG1GjDIwltvQZsTzAqRCCAv3dRZ9LrwqlTlfeVuTMqKWHLCWgKs04xBXLDXi39x/gmqOzoGbKoT7eYd3jwcwC15e6fzzOgDlxdUmDusmP3+UkYJStMIM7H+dsLys+Nk//gavdkf8+ds3+ObuGiEIrj95xDxHzO/2oIWQzOacKdN8VIsftO+UZ4B2CoXVKeL5XzGGe8G3NwFvfvqIbwEcTxFIFTfXZ9yMqoC+CyvOS8KJRvBEqF/uQYWw/4603/eWsLueMc8R01v93vFPFpz+voDuEoY7Rg1dabnuKxAE80iYXwMYKsYxaxjwmW6KIWb88uFjHNcBj/OIUgnfPF6jCAFDxfEnqonxr776tA3ZAIDbTx8QPq+4e3cN/nZQHZ+rAhRC+pIxvhNtYbtWxoPG8zpKKE6C8+uA5TkwvgNuvlhRE+HujyLWaxObNE0gOSnTYD3YngzckkFeFfRs0whMrPbwFeH6y4IyEs6vNUDcv60Ik2Ddw/rHTVTK7IDOGodOr1QbI57UdodvKnipoMrImZF3hHX3JPaDABPjt3/5Gv+nv/rfAqni8OKsAMLVAjksOH17BfmrHdIgmD4pEBbMf/ES/48/fwn+ZMLP/je/xlwijovmF//nL/4x/lv6z3BIC17ujjiuI/5fv/tjxFDw05s7BYCOAenRenL/wHpy/z/4W1//YSq5HogGdYRNBVcIxFXRK0JDcfX3rCJKpgzroyW2qIH1KPkBIhWt0tc+3pxWmB110ASNF1UFq8kcbgbohObwmyCJB9wbJcDGV9/0vnpFFbC/7ZepQPs7ijq+lpzkjeO2WYnBqANc9PNUcRJKEVrMYRhHviX6TygovYpBDR1rYiKbvidXEaVsiGsw2fKsQkji6889CC0Dm5iJBjd1FzpqlsUobJpkhzM04UDdIKb+tzt4boesqtCS9vd6wG49lNXEfPqoGgsUC4DJgmhXcsumcpipK9UNFWEsuN3NeL0/4pP9Az4Z7vGeD/iw7rCUgPtpxLwm1EoohTEM2t8lQpiWhLxGDUBL1epsNoPzV61WxUBPEKs+2wuUunb7alUdT2YrtDrjFHzq63/x2iagZneUScfgtJ+hiwS1of1/A7jV3msT9PjnXXzNv+5IebHEwO2tKmpIYmCO9XDB1Q7r998fFfr8t59Z+3s7ra2xFboLsYv3IEU6km4UR+/N1V4pmzH6A8i9BED8sIaBCiATrOqf872kwt+r9p+5+Hvbo+tfZzRGww+OJdqsAWfvuyPwzBCv0vnHCCCghg6HUDHEjMC1BUJARa6K8q8l4LgOOK8R+9QpmuecMJdwCWI8vXa7fjGwTIJV05L2Jy2rJbg2D9CrVzVojNUrLB7U602wje8pA7eA0O+t2bDTfp/mdLKxq835sa2kbn+Htonr2v269u/BgmBDmGmzX6H/dtAJBNOD4n62uG+v/Wf0PQkgccJKs/8m7Gb3t61EAWj2vrnVRrEk3oAiF8tB7f69ksWL0vtdsFEfzOb9K4AmNkQou9gYDwoOSRNLa8ycWvvfW/E35jZ2RcEoqwAzowmzuf04yFkdxNCbDI/KZql7gcSqviP3iouwYD+uTYlVg3wVEQSUjuzoPpNgrYx51d7CXBnrGrD3/Qcoy2bz4rWYhoidJ976YWdCS3IrWeuTJbKkxkfcn39LZorSZ73dg+2em4BlNh/IQEwFJStQ2OzXgELetKKAemLbFFJtPbeCVf4Kqwas1Vog2vn7fZxEr3Ht1wdbB149biIVgVtdmIZQBz3vaeWL9w4W2Dtln9gp9NL8SbPjQhAXrWGgklbGxdh0MP9PWQBT228+ndSWldmGBv6jotGdVSzT3tvoxK0FAG7z5kva16DTD9YCHAaUxO29NMn9/nq7lkYxYL49FwFC7okBCZoQZUsWWJNXKcq68apt4oIlB3xY9lhLwGJ2PoSCMWac14j5nEAMTOMCJgPNdgkuwrj1F3QoKEcd00cFGO6BciC82h3x+e4Ov5SPkKeEeD3jxeGMd3JAOXEbMVmHjX90csQ2PqlorMoq+mzHu4rduwLkgJthxn0acYwVlCr2KeN6mHGbJtwmbSmDqN+PZwWb4lHXClWT0nUN4JM+j8OnZ3x8+4DfjC8w887s1Q4CFtBQlOlHek6GUMEs2JtCMgG4nzUmnHNAKYx5TkqxjRVyIyACzo+jMqZiRYgVr5894NXuiP9pSZjvkrL4hgpZWJPDo5iqtjGQrEXm8G1BeiioUanf8ShI9yvylbZ2rs+q5kxRICF0ECpalXdHrW3BKcWqV9NtPMyCw1ezthlKgrAqgDef7eDaTs8vF0ZdbXyfVpyp2U9YdJwr2yhDj5283QGw5/XIGD4Q8pVgOWTwfsGYVqXB52vs3qrY7/qJtvQN3+ww3APTp4L/6qNf4rv1Gr98+Bj38w6/ffsMeY746KMPeP38iPfzAXf3B3CouB1mZfJYflSDvm9Z/4Zgd/P6D5PkDqnHxbM66GKbAjlCKjC+Y6SjtKC207Z0k8633BYS5hQ8+HQBhTZDF/b72cArR19Z+kzBDeV3SwFtlTYGqKoKJ2ftWaAqYAsgNLHb3OYmQUhHqz5Y8F4TUAdCXdl6ejUh2Vb3tIKwqdLZOqRHFzbogYAH8l719YqWzuWqVgFRGkZz8s3pmFP2L3vPViANmrJWnXxgenP4VdrBEeZi98WggIukQ6laUKRzS1kLtAl8OmX0gmq3CfZpLeCq8+rIgjrf4PEkeiBEQ6GS3n+NgMwBwqGtoYphECozHiaVjasgzCWigjBwwe0wYS4RS8o4zQNmRKxrwHfnG4gQyhSAhVXSHdCE9mlwyQyxOaq8VFVYdZtkAk/WZ34mpKMe0LwJhqs9I62+937A1pNoa7Sl1reE2eYzy0qgOSioczawxAIwBXUEXglx4TZnKgQ/mDz59kDC7NEdptNuGj3OKlqaJNg1B91zEpUCVefYk9bar6l9Hum6uJ0qLcZAn9mqt9Z7wkvVnu/NmrR+wGK0Ywuya7Kq+qoz4nTkgwZf/nvcKHDS1rVRKIPaXYNsLWipBOAwaiXM7VsEYIGAQcmqL9GC+mnVEQ6ACqt5NTSwJg6iB1g9DJDASudhFVCQs659jZ4M6Z6qAxQ8YD1gBH0/lI3QHFPFUiPu50OjnuXKeJxGTFPCY6i4t32Rc8CyRHw86R4UeUpOhd6zjUVKJ0F6H1B2jHMhgAX8GHX809T77uIkVonVQ7QkDfzae4qttUhTlG70T7c56dVXv08xkT5Ag+h06r+3fYXFkznrf3MbLsYOWEzAbvQ9A/OBaEkKoM+gaS3Y3tmKfDidOkzoFH9Pkq0/cjtODPDgRK8vTN3Hc+sHpc7CF1UBDxtBDRVmNL/a+rx1/4baGT4XI978usTsx4XugBaoS2TdVz4GZBdNYJBt/fr4LlcZF9aqpYKr1BLIC4qt7TmtMjOkAulsFLiABnzkyXpWd3bOFAUEauoKxHq51JLZZL58KRG/Pj3HeR5QKzWMZnsZeQ3tfAMTkBIoXGYpPGWQCIbjqDNLEXDa7zClqmfCyoh3oTHCGoBt1XUy0J3cvxNwfqNJczqKJptRwXZXb6dBIPcBy7qDz8LWi7HnP2lFu4lGyaaKJgBbYWDb0qXP375v8zURqdMB7Y+/j/ao2z7Jbk8wNWlPwsSSVkt2TM01PtoesAkMPr+ebawWKpBm2uw9tdEO1gMEVZT1ub0+FaCByqw+uOwcECMb2WTrYLatIDdhvd5qLaCNTeNVMLpOiYtqGogUFo2lxIozEgjrs50CNhtAVVkWorOpdxF1DKrzYO9HFUinirBQ820tgd7EugCaMjCvpNM/rgswVOySigcySf/b/lQh5MI4zQNyZpRsvdsQPJx2qJVwmKBnoJ+Vmznu/C41hoT7qzAR/tkv/xBhl1FNR2NdIt4dDzg9jBgeNHGTpGeQsMUsI7C80Oo+OYsnitGKgXqfQIVw96cEXhNkv+JX719gnlMDih+mEUsJuJv2SKHgw4eD9rGyYL3Sfb/e6vOsg+DdF8/Vfm8zyCiyU45tTKYWg+xZzAzJBB9LVmvEWkaAgMexgGNFSAXDUHA+Daj3el18tYKDGIVb6cvMVdsV1ohaCV99uMHX9zc43+2QJo1Jy0HPxPUGOBVVf95/K01dmyqQ98pOnF4RpteqU5NOu8akiI984VtUbBeoa4/VIF1BWWLv940nZXzkHfD+T/fwZFT3pf7P/IKwPNPpLPHYgfKyM5/gn0OaK5xfRfCzgPMrxnqjgNl4p+tbBos/dqqttKWIA4AI4XgeVVTXmS+jaogMY0b8RxMCV/zjV9+qTxHCUlR86tXzR5TK2KcV7+YDlhIQTIjt2+MVAGVDxEkVpvMVIf/HSnKFSAWIjI8SjdaCqsFmPJIlc/qH6gbpLHpQzLes80ZDN450Lw2h8cHebWgxenDe5swJAFhllKQnhwC8P8WTXKdsulNu4yQE8DEdW3TfX60PQAhh6kGFziFTB9eETgK1KSItscid+kEVoBVID/2eAFxQRsPSDy+9dtHZhZsXZQHXnqhS1qHnOpRZA2oxunKrDkBRTyGv0lYN8G2t/TN4tfmejohbhap6v95WmZP6GJzgY3iI2yHZElxTJ5RabXMRELvDAjQo4lUadVmFPqjPkoUlXQnav1cIkgnTrGBLtmB/H1e82T1iD0EeufVtrUWD/XI3gIrSIHklTe6bYQu+N0aoFEjOCGs1cTK7Z1b74VWp5vEozX76eARDbi1p8WqWBhSGMsvlx2mlGK3CxSTApIF8PG8SSVG7SWcTbkmkNB7RgFLnmfp99ffWipe0URVlMNuYFdFryaBVf6r1uiiAA8hTJ2P/5IyeoHtwtgnUSKRVEMIqiHM1GfuiSa6IBduioEwR0HnRRHI/ou5UfbaOKlYXzyp0VkNqc269J9eRbTrr+9R9RD6ownUDfuZewVJgx8CbqntJGQv2ClC7J4IMOuieiwA2O5RWHaUmcYSOVjEbioyyi3CxICENwqL0pAoAhgcNRvKBLma2CgNiz7uUHvgHEiwl4MO8U8rmqqIk5+OAekwoLFiClRmyCt3F08au5YmNb8ZnxVPF+C4i7wkLIiQI4iNZkqvAIK+avLkvp6qiFe7HuQXRGp2WUSl7rRJF3c6D+bySCNibYFUTE4GJLXWQwgFRXqTNhtVqCbWgPJ2ULibE+rVstlfEDnjrOwvQUUmWkLueXaNcOjhZ9eDfgkBswh1e0dsGybwYCLAJwnXMjDSba0GaCHjqyKoQIClowMLGBBEo0GkVWvb32fSWPmUxeI+U7ntN+qqBsGyU5joEYPAeHmNU2Iiulj0yerW27fkNCGDvT2sFGV0ZosnOdm5vjYR10jXPe9sPHix5ed7uoW5QjSEUvB6PeMwDTtNHmB9GwOn8QSsrMFXymm2sUamW5EZc0PIB8LSA5hXpeIV4YpAQ5n1ECYJwZPBq7UNHWxZGP2f9TDeQnqE2d36jSfr4HWMkjXXiWSArUEd9QKnS92jxXiFx8Mifv/t2H5eyfbY+j1UsgVWAWvcCiVwUBbw/MJoAUqsSm2JrAztdkRYKLDmYUweNx9JRE9zxvfrX6bUKYTWGUNYE34VF47wB3Zs/Bmh2uw1a/fI2mtoVYdcDY72y+PFUm5mJsW2oaLC9XvFmX5ldCxBOBfFxUX8whN5HvomlJDBKCMpu2DNq0ECa5wqfcyoE1DFYUq6CVM6KoypIjyrYOT/T57v1FR4n5oPFr0ArntBVRhozRmPlOA2fockukbaArCU0fw4WIFVACPMpQTLjZjIhUt+DG8ArvWelim8SkjADV78cIDzg/FkBbleUzDgfB+Ax2ehKYL2Fiq6ajZa9oL7WAJW/S+BJk6486PNN90Ep7X98xjiu4POAh7dXuidDBZHgfB4wzanppcjdgOFe57ourzOw0xFLIVbkrw84/DpifSbgPzxjP6rOynlJbSqDg/MkAE/ckuM6VIQzIz2oXyw7bXtbryryIQN3CfuvA+ooWP6gIIwLnl2d8WJ3RuSKXVjxuI744sMzLEvE6W6vhZDHoOAPjPhCNrqICYffAftvM+pImG9U+XvdK4AyvxTUNwumOCDMBuplgI9AfFQfkQ8mQMWwfKoDKWVn45s2DNIwEdKDqkE//ALmr9CSYok6wiffFMT7gKu3apv5SqvEaitoLaQ1AdML3SPHz1VIbPz1iJvfVHBRZeOaCPMLVpFWd82bEH85J8gcEDJa7B5CxfV+xv/x5/8c//nhL/Gb9RW+WF62qQ9Mgp/dvsc+rPh2usbdtMeSI0JQoOHxuEMpjMNJK9TrIajA8d8xe/3RSS6fziBEIAWEpSJMKr3PhpJ7NdITNUCFRQh+wFvC4qilOWGJpJNxthQ4z4U8ebRY1oOHJvpAPYja/t0rqNIoZa3K+kTBrx1k6MmyVxo9oNOqFpljt0rtpnrHPV7RtfLKbNbDCJ5YkF1jC8xh/Uty0Y/bXl5ZrQIuFRXcroUFwEUvsWc1/R4Auw7YArowjAvNjKFVch3h2Qo7UOs/pBbwiP+/JxgVNnDeDkoTnJIdaQWpVQeoCWbpekmrBLcqRQXkAU1MAAxg0I9g0l5nyYQ8hguxqSlHnLP2KByXAWthPBx3WE8DsBJ44U4FNoo4jUPrSWyRFqDCDhIauhtPFjMZFcsZAd5L1W2m07SculkGPfQu0PgNqt8pzrgQxvEKKVXr2XKgRp4EQKKOC6seeJ5Mbq+nU0R7ktuqT9nsq1EU+zXEyRJnu/ZWAd7Ylleu2ks2e8H3kCUG3FBMp1VuKuhb2nAMhmORVhuFLytMES0x/cEXkVLNaWvHsISa2sWz9Rj+oCjVtkkH0OoybD8E7c1G7XtCv87wkVFtTQq0tcF8TFgJdSsUaOg0506DE1aRWypAWQOO89DQ/nNOOC8JuTKWJaIWRp0iaLFr8fNSDBTcIP365pf/pqLjANqomlUPVKE+A5qNYk6l+xidS+pMAr0PTxbdx9TBaay2r6n/LNADe6dPBVvL5jsLAEsslIFAbb847btGQUa3c2XRCOSk+yJYL14DLS1P6sCmmJAH2jmmF4f2e77nALQ16tUSaQlnAzRr31etDUbQqz4ECDqQd0E5NHtsVDYTg2pjhrCx1831OVVYEykDJsnyG2fPmDCI2oifFX4eKNDUhHK2rIbafxbRwT7agDib6ppoa4OuCXWfBzsHl87YkRUIZ0YRYFoSTkPCGFQMKlfGN9M1TnnAukRg1UkGvBjLx6YpCNSnh1Xvu4moPaUBUF8/r/7zpD+bHhk8q79r88M3gkEO/DXBwNgTVZja6npD7Rx3e+XVxKq3gmfSTawJFW3ilQZM2r/9XKCigEuzTXFfiqaY6u1e8M/PnXIvDMDUc8OitlocdLWEtV9bZ0H4XHWqYoCPJewW7yngayI2Fis1WzS/FyxBZGfwOHtnM1M7rAJ61Gtw7KOPloOxLex9N49WwUGyPdppvFpoqAC4nzWo2iqW0ZlCpGAnUFvLABsVGgKlsZseSrcHumAp+pnXiifm71Q4yZ7jOWAV4LRPiFyx1qC2XQLOOWEpAadpRF4D6imCTzrXVVgFsmhhUxJWQEpSUOB1U3xIj0B90fsxlZK+uc5K2g8ugBg1v0aAWHtFy87V5n1/MpxeTIVsvrQCIDzpB+QlYCVBnQMws47O3BUdE3Q/AAWQQZQKX7TSWCNAK0EkYAVQB11vn/E6349YhoQ4ZMRYUc8R0WYzS6PC9H3CM+s+NHEoXgBkQrkWxCFjTRE+WojfJiwPEd/MEfeHHYZYsBtWnOYBD+8PNjFF85qwoBU4yr2NRrLYMR8I06vQ8gnJ5iMEqh9zVhZUm96yN7vYqS+qES2u81zJGaXZetLbSLvWBiJNz4DEKrTuz1bVUoknm21uBb34SHa9+vOFYYzNbhe8AvWkLS3LDbczordz6meq/yGc7gfkIQKmlB9mZTRKIMxrwGlO+Bf3f4B3+QqrBMw14ly0EJWr6oU8riOO66Bj4iohN9bCJmwTPTOG+76Of9vrRye55cuvEd8AuNoj3ReM7wJaPxpZ87SJT/jm9oDXHaqYejJVvQEhakjEBc14k6w2io0nvoYkiicrRp+TbM45d8frCH6jv2xflp30wButqrVecZs/FRaxQeD63uncE5ka+7U6QuLORQ1J2sGX9+bQLfDSWY2EOAn2367gUpH3sfU36ZDoomN6SBNEBlASaxVKlCoGS1KabThKbodhmLUXwnu4PNCsTKgmtuOHiAulUNWqCAClQUtoAdGlUQioFFSKKu5TtVetEpqwWDyu4ClDIivKxkbV21QceTVBFQKGB12n5Zp1za2fWVaAF0YdgDkkLIWxLhGToUBlsdPXRjPE+4DdqQs/AFABHVN0lJuD3UO9GCFEMYKC0j55Kdi9kzb4HqTOyQNaP7D7AWzJ7aj7Ie+B5bkJjhm1qwUnbpPmUFr1wGYluzNr11WwSVTd8WkwEOZ+PU0V0Q4EF0fZ9jl6YN7fW4MUiQweO61ehbbQ+kPKcEm5jpPtD6MmavAltgYagMRJkI61X4NVgHh9Wk3Xe5ExAaPOLqasToCsb0rGAKlsVY9yEfy3BCxxC17avFab51wHBgZWGvqmktYCedYERL9mSXYR0DSDcoGMg47d2Xxeu4UU4DTPMGXUyFqJdh9V9ZrjadPDSuhjp0YVuKmD7jmwID8mPGTGtBvwsB9RCuvIk8LIpwhkBp9UMEeTK092xA7qVUEbAFIqZJvkimhVuhTEqSCcox6iRZ/x8EGstQMXvcxCZgdOSbXZs+6/874H5k8ZMt3g/M16IEFn/bdWA9GYB/3AlTbuYHgQjHcFZWTMz7hXuKyiOxyrBZ/S/T61B6yPN5LiIVZpUiq9JzW6l13t38+RpzNr/X1q6HuasyAey4bm7NWoDWsCMAo8tBpq9sfF6L+BLGkzmx5UbJAEiOcM70skYUCkiRJ6m8FWud4DFWf38GKUf1dORoCMqpaK1rfqIjwAL8pYqENolTKtHFIHKnK1ICxYdUKfmV6XrsPwoL5ivWKlnRY1pjoETNcjPpDg9jDhkBacc8JXDzfKVnhM4BM3USQFZ21fG3AZT3qNvVd4A1qSrjVB2RWwxG/4oLaw+0607cRpsaznuDD6PNQDmnDkFoDnVcfILM8E8UwY7jYtJbOtwwhdR+8ndPrrhnYcT3bWWkLs/eV5D6wjIU7A7q0yotaDntdswGYo2hJSA7A8I5QARANnfc5kDYT5Gbe4TOmVhMXsuFEZt7FX1X3oFdpg58FqgkphFuzu6mYahO0FZy5ZFTRMSocPtvZ6n3rGlFF/drgviMeMfBWxPIsQdHCpDnQx5WILFi3XjBqBuCOUHSNMFePbSZNrJkgxtkGpwArESRkLyc6D5aMrzC+SJeQArxXh/qwtVocBdYgo+4j1RmMZB5TiLMBD93m8AuNDtaRSWzjWax2NGGZCvFP6832qJpimM3SJBCFUlMKY7nagSSuS8UgoB8ES1I/vvg2IJ2D/dgE9nICbA/LNiLJR1b/6quD+E2D6dIX3fIczI3xnYn8rUDKBZtaWq2J9mkGwvsoI1yvWc8Q6K9OBrIgVJ+2fzVeCel2Ax4DxHaPOQL6KWBcGPwbEM2G9FtAhQ04Rt79U8aD5ucb4y/OK5eczZA5I30VN6K5YRdAALC8raCHsfjMABMyvC9Z9QbyLGN/pPlyv+/4DrBhg8Zz3FPseXD4CXt6e8M0SUWNEmIBnf64J+/nNHuvNDvMouLuqoJmx/8bWZFSGQzxSY1sN92z+QHOV+RUwvWaMd8Dzf59BWZCvGCURhnv1aelRRbUkAvNLHcdV9uqL40kZEsKa1IKA4RtgvC8oY8T8ygp/u2L6RGHTFkDIO2B+qajU+E7fb7gX+33G9Fxjsd27gjALPvwi6s+7S8wA3ZsY6AMhLPr+x8/IkkvfpxqHpgfg6quqvfuIxmhVUGR4Tzh8VcELY/o44pQZ//39H+HP6I9w/fyEz27vsQsZr8Yj5hLx796/wWlOiKEihoJ5jVgnteM4ZlWht/hgvK8YP1TkdROr/Q2vH9+Tu1Es5FLV6VEPZMTG05BIqwjp6CC0AfFNwIFhvVjoM/U80PdeKu5OrVVWPaFE/1wPNvzQcYftQcfWaWOTkGxpNReIO6Ql1dv3aXRRQ+mFADJUr/cBqsE6ihpsRpbK5BOEpH0PIKviWBJiswuFDH30IHp7YMPvyVFOOziD9WKJQHvVPJuxw8IR+SfJWFOe9n+TJ1vUEhxXtL14WX8vgv+CBQkiLbBrVYXwJNkIXTirPcPW92SABfvf1q9nlWe/f55VBMkLzTWTDs+s6sQ90ODFbdA/35NFuw9f523CsqXo1dpACc/uwrqhyAtagN+rO2jUU0dzQUAtAvbyg9tf+8zt2qIDRPb+gAY0rf/cn+nWJj3J3YiZ+e95hajtFf8o2vyM6Hrwiou92j5vmx/Ze2tvrSit2daDW1WYGoJPtmc0GMalfQOd3YBui7QBVZRKRp3Z4CIzmxzm942B2gIF23ve/jx5dfuCsiktKLu4Xus5FfSgzS4YrYcRm+djFcOW9PjXLBlh85fBqz7kfXqK4AsBmQUzJ0jVcQ1S+KK61fq1XW2VnUr35OZ/6GWtD059dIqwVnw6yAF0dNftowbq9h17sFGjNEBpCzC2Z7EJVLd21fy1/d38qpV32PqYGuCzyoatY3T13O9720/bkt7mozfXJGgJbA3q10F6D6DLSpXbN20wmnY/gkZvbHuXcUHj/P4sLk9ML99L6sbe2nWK9YZu/DvQRJWeJrhN7M6qtI2Zc3mk2Nc2yTtRs8UGbtr//9Crn8HmG41hpf9WkSEfE1NWpXajUhMox6zMhFNMGMKozJx5wLoGVSBerc1khXbHuCK3wBgicnltW9/SQL9eyeViW90qGmHdOBJ7X/1hXNi7tp3oN3nW+5KgApzVKmMMaLuB+81M3Z8D2iKBTWyx2V/Y+lrfAw3cdDaIspeegkgMgff+dsCz08e3hQOt1IrqTaCfNfo9ty2/js72cSCNrOrkvl3Xt8cT25d+nfuhQ7hYVxgTYKsHcvkGfT3a79Hmvc3OhUXP4uCVlx94+Ux06vbTx9k9OZN+z4ssxvLRMD5j1O/N155NkJTc1xChLAFTSMrAKSb4M65aMc6k/tzsXBYVJ3RGYPM3MShAFuhCmT4sojN6Ta8ArsbdfCmhznpmOKDRbwoqbDUWtedMWqkTtBn3YkDjFjzjhVDBrQ2Mqqhv4s5G6UyFzTX5x1YoK8Oenb+3gv3aJscLuqDb5izR54lW9fQzx58rAAQb29VsP/equwTSDoiRzDdtPqdSax2AAXbNZ4pfp7EnkmnXmK/lVfV3woRuq3bdaqtG0/eeextFpYUU24+rfq8sHZRt7THS13R7PZ3NJNjO8m5KyR57FICddmVr6myPOqJV/7VKDkRQiwmBngCr8rPlFHb+8mSq9Vn39CntcNpPECHsojIWsgP1lbHmgJz7YeQjzdy39Gv8O8Qx+A+Q5IaPX0MO15BRx88Mj25ANuNPlaHQxFWCYHUqiT/kYI3te2B+pWNlvArhFTcqZArIthm3SM2EVgGsRhtzIw9nwfh+0xPlRkVaPeVFN5Kronk/oh8gStPQZLEp+m0cvotb9EostTEDyaqQbCIsirh0L6KJtf5MQ3BX6+/MTp1hhLUizFrB8kpVuRouqGE8F8SHooI8DV23asZaETcVMk88vYon8LVxehP1w6cFKnqfTn/K+wAaGGF2gZJudHWMkL0lM1OxQ8gocFZZKNbjwmvB+O0JMkScPtujDIR0UiR4S2/za0rninTSje+iFYqyEQBG3hPW5xXyfFFnX/SQGD5QE8doG9gO9jABvAiGuxV092D3LaC64UNsAAE+rxjvsjkLoysvtbEXQHo9yxXbver1rzfAem3qyoPbEEGSWPJN7Vn0Z7U5EJ5scgCNHh8W7X9qzk4skGlB5RPmwjaAhjt8D2g9QDG6eRZEE5Mh67XH5ueT/WzZ6ffiqSLMpdsS0D5/+JA3yY0GQ3xaQbV2ISdjAugPUbvd1v8/WgBkglMquiFdG4A29uvraclASza26yxap9WKQ2oVbCoCRjFwx1gURvUlVB21wgQZI2SIcEE1p0XLhtKvtG6jceZ6ofYqUXu9APVXvvaAVnTTiZBHo4clAhVG2ekYsOUQQFa5dbCPqmkhGIU+TBsAriqLArV+Dyhr623XHc4rDt8mlEGryc1nbvxfjdT7y5MFCQer3EZRpoMlAW3UVtXKRnygBmIBllgsaMm1BGC9pgaOArAeR30G3nMYFupAWFCK1+GrFSSifiYA4axVekmMvAsgUD8H5or0UJVhsA8XiWBrp3HxvqoV4VaNWkVZLXamdbFEA+w2vXu01otK7kXwHPo+0Tew/behm4dJs7A6BpQxgNeK9GEBmFB2ASX25ylRR6/4mQKgs4EMiGAC2Py5kDEhctV5pZvEm5asYnD7pH3lkZv4TlgrULQnkBe9jy1gTEYVldlHChkd+KzPTFVAgTFXpJNey3pgAwMj8kPA427Ew3BjwZhWo8a7DZ14knYWtzhDBGF2pF1AawbVjvzz4xk43ECSZmAepIWzgobpZP6T+nu2xNbpwqI+u+wE9aDnnCRWjj4LJOi4nXywuGUHoGov+/DBAsAtccU+x0VpnAnggmXbgJIX6QJmVTA89HOhrT/0PeKpKyR7MktFE2DOGqclE4mKZ2dNWcGBeluJs3YaK2jjY/1nwixIj+rj5xfqOzojTp83AKw3EetNT4y2IJ/GJNJUwHVvbf2iIJ41HlqeRyy3nsTrHuysIqNBM2F5MegeWowh0Sr8GhC68FQ1Rs/4drU9qzdbrsb2fFXnhL53jgy5ap/5jtvYp/nGhdz0ObmOQRn1YdUECA1Yx9h8Yz5UhJdFBXwWbhoI4awJRno0tXfryZ5eRITPX+i+jKTgvr2Gh4zrLwXxHPXnTavAiz77rwlCAfkKWG6libAKE5ZTwBoSrl+c8PmzDzitA96f9ljXgPl6VHacaOIrLJhfVlAmDO9404ak7ICYCvhG8PCHwSi7YhomBP7NoNe2tzOieOuaPs+agPlznfuW3kaM7yLiEUiPAtoTyt6TPdvbTcBRUHcVUgnZKtBgwZIjZAqqEZSBbM+Ks2rklBGQfUGV0JK63Uk2CamOCjr9LAMsGL+KbRQXWX7y+EnYFJWA3fuK27+uWG4Y59cqshvPWtFfrwVlrwJW7mdqUt9TdgQqAbwCu288SVWadBm0J56yn5vA1Zf6kflKK9xlYMzPWfU/TrpOH37BJvin9xRPhPGd/d7eGLYWK5RRx5yGiXD1O/UlHkeu14THz9mYofrz508r6OWCs4wgE8g8/E6fowr4CR6WHb4drsFc8Vu+VfFX+9np7R7xQ0C+KRheTZBKWN+PCGfG/jvB+N2E5eUOx08i8t+xKffHC0+NowZ5Qcuz/WABHPWuhQAzQtlUYnysRBNfSIJ6nTXpRNSgP1jFk7R/qMJQaz9wWCELDw7YmzdEP4uLXFCJG7LN3Qm6fHtDDj0w8YDDktQmmuB06U3P1wW92VGydkjq74elIpxLo+WABczcrtfXjexaPDAmm9XmgiMwgZwWiDlishTUbV+UozyrJrrgfi2/D9QE/OChFvxfvOwQdRRIVupr4TRdm+8V5qIKhk6ZA1oCIlHRPl4L6LxcvDcAG1mELjZl6xiW2pwnCVpfLFXdiBBCOfTxDx4U8WyKkPb89XlaEDFbkrkWyOplL4HUp4MWoYluLghzNToTayV+rT0Q8WTGAIQmv54UFVO0zz4mCOA9TV5ldUCmVQwv/1xUcg3Vv+htLf48Nglu6cAGYOtKfW39+W0ru65U7smoj6LSxLf2/VLFFINhwEVt4jNdYVyMnleUmRC5/SxPi67rflBRj2ZLukeeCt2IqRazX68pAsNmdX7v5UGUqKLwBeoL9H+bWA4xtVm6kkkTUmMuiPdzEVmZVQBm1Mi6P5/2qFO3/R9UGgcA5lYx79RxC+pa77EqjdYiKGbnXg3hRXtlWwVH0KiRvMrF3O1t4KbLSaDv73L9XlZ/RVkd9JamfrF8LfB3SiJQRzHgUjTgt9m/vv4KlmzACAdnLMGNkwa5eY8LtN4ZNkK2BWj7APXf2ne02LURCjHY1IIrABrDJcBjYntUGK2vNKj91cGBRLRrZVOMdYCvDqEliV7BAqvv5NKT20ZJ/d41U/+X7T8HmC5eVRRksXm3CoxlZcXsFTRslV02urQAsIqcn72e6HZNADsrYEGa7xVf96J7rLYgX8EWiPWMwVhHDiZ5VLFhPBCrDVe7/1ZVN98Uqs6i9bEzpVq/FxF4VUrt1k54RuuPY2/lsPM2j/YIvPfc99qmF51yvmCXeUU+TtLeS0ET6BncwAk0ZtMFkyUJYDEKUd+/eoYBlQUIGnyTCc20WAJoAXHeod9rC9oNQE8OnADBW1BszdnaT7x30n+f4QmD3+Ol/+uVXAX8mdCqStlis2AJNWTTiiWbGEUslit+lta2RjUp4MP22c4o0tElff87s6Vdl+2ButH18HtSsFVVyFshhND6Cp8CnFrRY4vXqFXmNFQ0IIkZZc8oI2NYq44Tcj9N2nPucUyL3zYxmz8nrCbO6Ge6jf0LDVy352aVMMBAduuL1etlVQ2v3IRKeQNw06QglYMEqvS7CeU3foPWinSsqIFRRgLtu80AlrQULxK4nUDP6qxU5hQKPj3c48Oy01FdQXUfSmLUc2zjpOpeQLNWhy/OHIFSsGPFepORR0a8DwbEK+BVRiBfVx3NU6zqbDZWkyAesvqnryPCuQM2Dm4IbWJVa8sTQPcfxNgUtseKAlGe6LeWM2d8CkBBQSo/c7zwlL1NLgLhRoWwhGNjTClDU4FewHu9NfYf3y+QOOBks2/9+ecrtHMTe88Z9HsuApc+EMZJerWdgfMbQt5LKwgGAygAE55ib5HTRDY9VkvQBflGlCGQ0cTixIt926yQARkEYnpD0aZhUBHkfVQALxsQVwCJgt1uxXmfkPds1Gcv+qmtnY+MxeaDe8U5mPI9zYz0qPlNCBUFDHagZxbwrM4s74Cctxv9979+PF25Vq2kFIEkRpi0mlJjR/47fUYfoNOUl1stm5eh05PpGIEgkKGqQmemPjtRLgMsNSxqfVdeBmtiP/azDRG1Kmr1OayrJSelH2JcRIOJ2pNcnqsmloZCt8MiE/hJ07sqpkqjsgFA9MO16oxaHzIOEcRzwRbRF0MJXcnPl43XqrZt1JqWlPjaEqHsU+u/0s9T5yKRUVrwBkOT7ZnZs/Cfb0GPRZCCfqiTUB/xtGpABAASkx2Slhg4PT0SCmnfridAfj/Ver+oRtDVDpIYvAiiaBIL6kEzCDZj0O5XdGdc9KCakxEGhjtGXkeduXbSnux4smDWHPiWIunUL+/RRAiglDQQ/4EX5WLKjJ68oFU0FE21YLzR3Too4A4K7EE/QYz1UKNRzxZqh0x35JtAXzTIg/QAKCxaWdrSf7ciSv1+7aC0wEdH8bD9vyVPbl+igYsii2z23feQ9lfprXCp4A9lk6yJBtf+sRYUuK9AEaUDVyhA5oCMX2P7fA0yZDDOX9Vh5SBC3UX9LOZeCWa9nzqEntRboOKHnjMWytAT8yYEUwCQKpOSuH3z5RpCbRNjAoaoYEfRwA7JZt2lcJmk+B6nDfuiGGhV0eacutiXJ8vVgtswVezElIBJGQthIcTH0OZuk9kMDLgJCxpFDiLdzudVk03AVGd/APESAXIPJGFrV0ZuyZNX/+MEo3l5gGd+OwgQLViICrKpiIfZWYSqh7v/tnX1IfdUBcO9ffTaRcrEkqQ4FbNFbuASYGu56nryXBrjoOyi+hzz8XBZTtjvNuDIzywNuAJblT85E6T33Hvvd6d/+t/2Xn5WbMAOXgraPGevvm77m5m0OuqtGRtVedg+4mJn6ajDW7kISGoLwB2oFNIgp4HJ5OAIbN61ZinsYlxLaaN12r7ZRUsElDFENmbI7w+AjlYJZHtP/UI86dpvwVgHT1111imhxXvlDaRgE3PkYoyddGnf8dR9n1PYXV3e157nAiwrEIOCX7QJd6YFuNb7C0vF+IHtfrrv5qwjXOrodmH2ap8p3CsuWA0IixWSAJoCyMYpCkETXFjAbcyIbYUzzN7GgU3iiwZiql1oIJxmwfBQtc/7cTXbVrqqg7Y1qYaIkDIfthTmGoH5WbAKjOpspMeCcMooh4j1SoFCTcQFPGu8wjvlZ3LWn6ei8UwDz8nOBxMWVcYFI54r4rk0+wCj97kHPxs2bDvbQ6rcG9rat75/Aki0apnHnnDWpO9Rku7lsvbkrQb159pfbXtysYLDkOB92byYqvshbZhyaD67a6P4e7odCuJJz6aaGLzr5/L23GjimdITKhBBln7Wh4mwLlcgAZKNiUkPgt2dKtzmve7/9KBx1vBYEY8645fnjFDm9nnnj0bk59rvrueCPn9PkNORmp7I+E7va3lm4E4l8GPA++9u8P9d/wDrErE+DPDeXo1R1CeWZwVvPrtDLoz3tzegKahCuRZgMf1Ox8CwJa9lV1EOQHhkDPYe8ahp6PBBCxLup8JEmOOoz20AlheC+WXzlhZzdPZn2UtLvvZfxg5GEBDfJnw4PVPVZQOqnEI8vQHWa63G4yFqn+uVM4aUxp+vCMuNvl365R5edZ1eab+uT71IRzGfq/vi4acBH/7wgHAGdm/1fFueqbAk5V6A8Rqdt76xJZcSgcefasztYnPLraAcKvKt/i4thOWDMlyufqd2cXrNmF7pWVsG/bsxCyzB5BXYf6e+Oh0DagIef8KYX5g/NR2Y5Zmy9do0AqsGq8ien8uE89s9wjG0eCpakfH4GSPv9XfCFzurktv+HMzmbirOv1iAlTB9ed3ysnwQnF8z4s9vsB56ge/v8vrRSS7VarMhK3gJiuJFQo1GA1os4XMhKAuUykCYXyriUZM0MQ8VYCHkFxk0FsgptqCIPONqn42uumlJrldot9RMRQI39E3rE9MeEkOiiyMoPRGDVcOCBcVCTv+qT0RXjBrMsPlrZHNSHQnSgKtGk59fNKHiXFVAavNedRdRRxVs8tEKWg1jhEazoRYUeYVOAqsq8gYFasEVwz5bnSxnASa/dliQ7mvWhTSe9nNV+7cnWopiMTjp8w3kB3Pf4E39E+hGKR7MAqUy+JAUYFguAQdXxfT79Hvq1S607ylirc+Js/Y/OEK1rYC6PbbrYKe3oa9pjJDd8L3pKvo71RItVTP0vmdalT5VAVAIelg1RWPuVVpoYqv9KaLUVnPmgDm1ov0u3ivSP3tr9z1pYUPhnYrllSMXinFGQDcyad8r+wSyIHqblIloEuZV1zrYgX7Wz5BdQPWfNxQ/Psz6804bruYfjGYMaAJ+MZKH0UdIMVqC2+jhW1ots1Yhc4WMoY2sYlbUu/WWs6Ht6Hbt1M9Gn2RCHakl697vHRZRQzfdABm5Mzt8TINVaJuaKtBs1lVmy6j716uzXvEWMhYG6Q0zqtE9K7zavO2T1zfXJDtOKiZUhqRB3xl9P9qhFSdpLRVb5WNYQMur+pxaCigEgAPAm2PAabRVq3dkvm4LDGhAKPC2EFVx1eCS2JF4+1hLcGnQERJ14QaO1WD71gN7AlycyMHE4cFHjaFRkn0PhFNWkHWXWhDqgTYv2fZT0ecYbYyIrUWrrBLavXl/N4DGMiLvqQqEumwOVvIgzGzKfYq7u40/VXtD3wOTBqSN0r5lTxgjglYD3SKjpqgAX/O9neng9+RMi0Jd6wBAC9C3r9oCdWm0W/Up9WLtfO+VQ4IkNmG4qn3BDpaJJx+sAVDSxEOVritolbZOvS/dEn0/zwDQpr9NkzpRgHIV8KBgOJWNfZvol7c6UVFKOiwB0uBMR74RkYrDbYQEZV1bZTfMRUVkQj8LOFtF0seFefJMPclVRpIlTZm1rWpftAp0Dm2WuhWWYEMQmjYD4IAQmoLz1r4vkr7W7qPrkx6ztijd60Eub66QExrToaagLQ4CDA8VYakoA5tgE2G5UvB3/1ZboeLDinBaACIsN5YAT7r3w1w61T7o2ZMeM6hUpa9vqpva0uXrqn+nY0Z4XFDHiPUmqR/OsEkIOhP3gqlheynvtfrotiRBxZs0xmNwkFbdBtAYeU2w1OIdt3mtCm56JS0+KS4EWPtZUXY2VmhHLRYB0GIjPTcAp2pyIcRHBb95ZIRVwYDhLoNLRRn1/WBJgoMXFRoCqG/TP5E1fnEfA1HAZ/hQVMhoVENKsz7reKrg06ojse6P4Nyl+ufnjHKrokRxAvisZ4i2TQlIWAcArEqhz1fA/Eq/F47aV1tqxPl4rW1fR69Smz8y+65jwX/xyV8BAP7V4TPcnXd4/+4a5SEhnBjjt7r36qg+Z31ewdcrSh0gD5oQBWMj7d4J0qNoS9oIlMXAM2vzKnuB7Cp4n1FPEfFdBFdjdqza9lj2FeGOcfhK45/lmYkTvifgvcZnDmzHs97L8kwQPj1hvR8R36mycN4LaNTCA1VNntdbQXokPPtLte/3f4+Qn1WAGFRVEM7FGcuouc3pY6B8NiP9esSzv9LWhvVGBWWpKMhVo+hYTIGx87QiHiYdTbZ8sgKZUe+URl2uK2RXEA4Z+/2CZYmYbgbwQ8TLfyu4/osPKOk5pjd9FKEqgluMo/+HsADjuxm8FKR7zT2On47ItwW0EMKJgar053xQ26ljP+drEpSXWdk6HxLi+2haHnofcdJnPr0C8psV6euE/VdkrQ2+13Vv3v1DwU8/f4svv3mO3a8SQMD544q6r5ifM8ISmgbIf7QkF7V2VHqDVgfrvXC6CQgXvZ560FmzNxNkuKTvYLWk0g8WQRNSAbpT0MQFjboT143DFK1mBJt55s6zelVxc736plDKoWhVuhxiC1K1CVwTRTBDjM68DcC04qhjfTxoAHBRIdB770ntD6oTWzDuFas2TN2/V0SDY8AoaD0RlEi9OmABll6g/u1q1GVgPYwbCkq9N9oOjhboNQpdf4bupBs9dhvM2wB1ST2562OK/HkKaNXnoAcfutHW/v9PRXJ8zSn23koV5NGEm0qfe8mupC3SAuBGVa8ddNkq8+nnq03TNssN2nOObYDnVERr/AeTJr2BGjUf8ORJrykQgQYTfHlKR2w3ufkDdIR38bmDpm5ZHUTBBZ39YlxCq5hu7J0VsdgKDzT11s2a+x7x/bcV5FJAwveAtORAiIDsPdXUEldaPIoXuPq6zksm+4eh7A4yeb+U2Y4/FyECee/uk5dXm3yPbL++TXxRreJuz6qairgHcRIAeF/fBADb/YfuM56Kovgabmi4EhkXhIDNZVcipTeaz2j2FdDWk0oFz9KenVdfnIZ3WS1+An7kbh9A9z/9AiqQMyCdlq9tJ33tPdHy31QghVoC7SIZNeih7LNcG1q8EkRUeMLVnRsoSZogCBMQbVv5lvP3sGpxu4dNG0kd7FotyWz5pz3ftv42Cs3X31kJvo/rZi9uwdGnz9u/13v+7GdKB0mr0eUJvlc2b7Wt0rvir1w+E6f1+7U7QAts9mNbn26X23PMfX4DYfxX/LbdF9u9VQBkmgZAbNR7mlc40FgDX6jGS+K+VwHUgW0cXqfNr1cBVLkBjI1dJUBnC/laSmtRYQHIRGNUNElQjdWifg/tzBElbyigaL4szAYYldJ63ykXXKCWHFRFfMnALjZf2M68XDU5Ed48bxWWK6NXMey9hNqzlqpAj0RBGf1aCQ2Iqv1P892bfdlEBDfPUpW+tSWkVNr0WBPqYWjPxJNhr156FZE255VX1lzbRPvpGZSjAvGJG1tBBQulnSkuWEXW5wrw5blR1Y/xrGrFPFp4WdEAnjgVvY89d70G299+nnsSp/PeqYGD/gwg1Gx32+Ljzy4nA9ATYd33fap9zvpZqh+R2vs0yv7Gpr03Ws9iaWe6VxhdXMqTvvU2oo6MvGOUpM8kXwVQUe2SuCgIU1IAkyjtdlNMcPtwCrJfsz+PfOVzfP0s7bYiiSFr6K019sp7bUYJRs2tyRg027jHzc+P3pUc/2tf90kUZd9tt10DAFkZv3p8BaaK96c9piU16n4dBOWgdtB8f9W9Ikmw3lgv8FEBjXwg5B1d+NswETgA1adIHNVXhRbrez4hVv3Uc316RWgsFoECIJbcFtuTdSPstN7t2rzdre/OOzRwZvednmHLjfrGsADygZtgW43KUm2fy3oul7uEcO77U+e6E7DXnIRh4IEvLUuLxSUAyB0gBoBwYshMKADKkMGstO4cBO/+kxGnj15gfq6aATqxxvzCWav3CgLpnqlDgATG8iyh7AzAWRTQqIPumWxxf5i1PUrb73rLh1Rll4XFizX67JZbvYf0QOCcdO2e+3XIRdzFE+ObD9eo59in0giArPtTtUF0TTdyBn/j6++c5M7zjHnuNIj7e+ORrXr6tPxkYFAWpA+TJhy7CAmM9Sa1RW40N+Nol6TGjlUXyQORmqk5NFT0WU+Wtyk335DdbBSOUzX6mx0wRrnTi4Nt7qjFEerIbROamRWhXHY7zM+CCROpc8oHRZOUyuRGakttlJ00ZYTjJmjkPoi8VY3rJjhhlYxvlEG2Q7UI4tFHIHTnq5SAqlQsItR9UvTf0f0Y2uGhcyyl0YdEGJ7klb3Rs2yt8p6x3HDfUADoTBdBc42kwgXiB6a0wMWTHU1yNUks3sfSgn+0gyRMiiDnq4Dzc6WWdpTegwNpVaJq1G0/eFV5Vg/AeC5K/8wBZWDl6+8U/EgmUpN3sH5lDWpD6SCCgzAkgioFUiqwFOSN8BQNEZgqpJReIa1ajQegY2ycEu7UR9sU2pSvAX6Y0EZdaOUAcNXBdpgGpTB7QKtqsWrrKnrjwI1Yb7bZ5FkrMK2C5P2vbkNBaXtCpHCxfYYHb243vEG0W4BnQIs/Yz4vWo0yCmT7Ewl0nEDLqlTYcdAAMBstf0iWgGgS4EELYIm/75ugiThtql2ovhe4i1RdUP01+Kas/enwqqn3sJvteXKoQVQffYPNHnMGBS8FFx0JRL3aU8pFpbntdeqJUBlNmMmqECqIIxfBC6+ive2bZM4rXSo2p4mmgm7oomex96y1qsJkVedcex/cqnZejOkBAFUK6roC6xl5k+RiSJAa9L5EWiW0jhakGgW10cADIe8COGhgUgM1wJFXRYGb+iwLeFbFTV0vtXmv0nnyojbcA9/mm1vSrpFVvlIQ8v/P278sW5Ik2aHYUjNz9/0450RERmZWZdaju6v7AkLgEiK4IAcccMIP4IhfghmGGOELKMI/4IhjinBCggOK8F4+LoGL2wC60Y+qrK7KRzzOa+/t7mamHCxVM98nswotUpC7RUIi4py9t7vbQ0116dKlw9OKcN42B5dOXZ9oE5xSWFNANtsXZ4KRbG9CMDFeSgfFbE25o+3lDC0gNjsuRRHPq7VD2/RO3AYYtUfwBMFi+3kD4AATUaPTUTflKoA5svb/rhptWeiW4QJkVVO57IEBGQRo5SqhcL2WweLtwprrsmfwGpeK8cPmuolsCa2KOkbkXeznklAsilk3bx8mOH/CrHQ6OTjXxXo0bWrIbRzSpbTvYyYfLVPnwGRc9Dpg3oyPO0TpKRN8XAtbFtUZmBeUrT2fBopRPVhbGNvT8eKiYtSTkF1soKVfx0V6nD1BGjNtlxYD58eKmiqwBKSnaGu5s3O2rd8acBIE4ULlfqfDhqwYHrPtgYQyhZ5AGCPyjbGgVtKXy8Q6cigzuF6y0d5zUUiNTSxuPYS+zo2N5nslWBurtv/WSkdeOX+KTc2sZZBlrQiPZ0AVMUaIZXrLLlEA8362/x8a3dc7UYgJx+V9z9h62VRsICla8FBlE6hVEw9TywolQA88a9lVQU092oL7m0D/Lve2iD4m3DPdTxWgnekO9JfRAkgFVAjGrEcDDDYgRt7xGre/ykgfzhDdmz0iYAOgq667bW417xTqClkx30VcXgeki2L66PPfwao8ABIyYsjIpdO/5tfALgPpmXu/TFYemBTb9kvumwHmZ+deB60RwGAlhHvYBUnFd+VnLAH/8dvPAACX5xGaAwOToNCdsl53ZUZXMiBroILyriDvCuQxYf91RFwUz18K1ruK9CQYHwWo7PcLnwcA40fF7r7i8irg6ee81+GkGJ4V+SjIs6BOiuc/LpBVMH0XERa2uCk7Z5f0g12qYHgQjB9MoGvcRvnAekthqMNvBHe/zJjvIh5+wezr9EGw+87aDFn55fyG3+0tItNJMD5GpKeulhwvMA0HO2uKja0QjNHAFmVMECqDTg9ylfTyOAue64B8XDFOGZ/cPmMIFcPPCwIUf/3NW+Rvd2wBGUkf371jidH8ivRrKUA+0M49fRmRDzwr4omtnOquMqgU+mA3f5Vw+Fpx/lRw/jHQ+oMqM9jDo7SYrIzA6QvO4fHXiulR8fHPAk6/WBAeEuKFdbuu9jw8BqxfHZGytACaNeIMth08AIANMef3vv7eQe6/+lf/Cv/yX/7L3/2GjbO5rYVrWRQ7uFjn051AwIzJpp8ts7T94G8bsV0LcMomm23r5ns2AZdROXsdJ+g4135AXb0CoFZv5Ci6qn4v20uH3jbB5tlcrbM/mFx/f6NRm2MTAUFgfdymxc/1szIAae0hgln2refttVN+H1bz0ejGjlSGPnZddAQ9EH15u3apCjDY2C4q/ywEAhc6YUaE9WKhPYsCJonuPSYJxWgSUpJGQFSunNzWo088w389WY5Qb7MEzB4qQmQA7MEy4Fn/DZXTa65Dd5pVBH91+f/hPz39d/jeayNa8r2XzbtTHl+OY6sZLsr1UmDGillWjqF9lVPxcg8WOpULHcDZBJ2AbFgCth78z9WYKbTaNUXgSqi9hs9vgvvUnbuWxfXX1b/BtajKIBroysHb9b+9p7LJjG5fPsSbDI/+0Hd54GvGle1TNu9pP0dfpxsWgovyeAZ3m+ny7FfLoDUbJFcIOX9m+8LtgI9j6PvJA1F3jFwBNJhj10THRBk8tTnFVTCjPm6bnwMdtIKxCZrt8+GtHkihfy+Av67/I/5q/TffnwMf4qoWUPV1pH2oruZHXi417X98fwZjbVyt69qd3Ibyb0pPrr5ny1AwLYGrdbjNwLywu1t72tgkMLtotkujORlm07YPuv08UeXN3vNMioE8rQYV/buuA118by9JALRR8qW1CdpmsNw++b/bOJtdbeJYvkZ83QvwPYPUHgZtP2gyZ8vGh8DJZiM6U8NBPPHr+nv7fmqtAT3RHr2NjjLT7/Pbsvba5k+gxv6wIHBzP93ubZ7BWUZb/6J9v+I/3f93+E+P/+33nz0aSLZhQrXvAGgbi/R95eP9A2aLDDCQreA1uNYaRbxl1mZtb9kJLzO6Du7CWFf+/60gJoANW8juwUuY2jjYjVVby77mLTPZzhQ/V7XvizY3imuhS/mBc3hTNtXAmBSbQWiZVx/fKNclTFdf1q/fmBuKXhq28bPQ2GkelPe5CQVQ8yNrRKMnq2oDM1pJVpX2QV9nbQzA71UrTXGwvvXntYygswBa2cvawYteRics4zEb4SByz/Bre7aW1Va0zPkPZ/6lzeXf/u3/DX/9q//r94fUbO1Ln7uN7cpgi8rZfF+88HvZF9r2UzFjIZu5SGoZWV5jmQceF+dE/8ZsvUZAh9q0dfy6Ze4OZZiDldP0uYedxyJg2s7Xl6CVFkDQxtrnsD23tyYSWGmGXX+l7311mKmBsjPXjmRLiFig5cJrTnlvGh5VGs3cgbAGzth1AXvPar6nD6GBjc1+NT/EaMtiayODgrqg3xgvnQ3lZRS1BuQcsOSEEiqqCkJjwtl4Tdpsfh8XzvNqnUDynkwVMsbsXNjV3gKqCGpKnTLstsLYKv4QHbxC09xw5mfIoDZHod6BJltrNl5X523lfInA2iL6/iAY8/d5/b2D3H/xL/4F/vk//+ft/w8PD/jZz3525Vx0hVYbWDD7kPexoU5N+CK48pcYJ9zqFFrvJUOnhSPmanWAq4YC071iui8okyDvwqYHXG1ZEtnQS/1e47mwDsJV8vzfYCaILRlskW+fr7LJOsSdYTuBpaMzdQwUA9m+NjTQkClMUHfc4K1O0FHTbHQfoyeqGEIMO9RS4KxNEa22KVeU/YB8iKhDoKCOUtma9SWslXJFUHcoIVb34vRkUz5U2zw1obXpcOPrGYriCG7RlhXIxwAoEOdINHyurZn7OkYKHhyJ0rJvZt8MUP5OKjDds00Qx5zXSCfLBEZpNWassda22bylRzqhO2JOn9+qftvBGVdmOaMHJLuEX/z8f4M/Lv9rIBfkOuNf//X/gfP69IQgo32HMtMVI7McMUCtVtGzKe0Yql2dMhsdJazM6LrjpnGzgYtnftGEqxyUEDW6aAtkPBsNc/wDs+hLpuGxzOY2wBRX2d4NVudCBN8P6fba/NsZxtgG3UYDlbUiOK3RMmK6G+hEBsu4bmpw5bJwumJgptcvYPaDg933astCe1C7DWbM6QjBDlpPEAdBnTbPJMxuFAs2m3DChIYUksqGq+yCqjE9hgCRCgmRpQjGDGEf0m7X6hCasEreWVuKg9EbR6oywg6PkBXjI+uBepC6zVpynilMxdrGuA2ozVmC1SKHlZ8Pq3YasRg4VhVBlQyEyu/70+N/gz+p/wSaM7Ku+L+f/0829mTCYM2cwzH1QCBIq8P+XXET5xGt3syVTMPZaKu173nPvPjiSCcizKQ9utOvLUvkYn3NMSybDLqLI4l9bmbk3MoJNuulBQgBEO2OFw9bYzh4ttbOE6cpSjWxn1pRx16PWPdcy8Hqtl2PQKoyhsudxqlDbNl/V0L2mmKvj5elIp4K7fku9QAk+Pp1B1nNIbVnNxCMa707QbwWeo9idBvPPWO2e+kdEsohma2siJmskXpI11nNXbC2P0LWwo6ZTims8QurIu+4/uMsSHYzrP3thLOr4KcoRARJNnMmaHWyADqDxZk9xhTil5vdrxW/mP4J/nj4R4Aqsi741x//j7zeOEKnHTS47eYeXG+kPVtMFKFxmjaUQpOSjaJoDmMoYC/IoMglUljlElpbuHS+XueuCN2cwNpbEKYz26956yvaA28fGOHKx8td2pznuplP2rkre67utGoTpeIcKIYnq7M2X4h7s7Z1D1Xkm4EZ5Lk2oasWUJqj6WUBdYzIn95gy2KgTWD50nzcw8s5PGO9ZdcAnX21PfscNCwj9ymdXavXnQ1kN0d5eFIMj8B6S5EgZy+0+m0LsoIlRFqAFLsoFACWX9gaXI9Gz4w8h8qIFgxwsNFAnbDSrnvfYVHFcpew3iTaskVbgNHWf9iMgQe3je0DtlXMctVv3jPPYan4s+P/Ar/4h/+Ue7LM+Nd/+b8HQAGi+pZqu1ugxdk0h68Vh28KHn8Wcf4CSE+C21/S5p4+D2RfClBz7AyQCKyfZMiOLStLZiakvhshWbD7GGwMODdlRxE0oNui6X2AfghWbw3Es+L4TaEfeJsglXYl39BfclDGhYvWO+BZuceGB36vt5XU0DOooUQo+DnsFeODYPoA63Yh3T4qMD5Ym8+Z470eAh5/LtABGD/yd3kn+PinZGZMH20sFwb7031FuijObwPmTyz7WqT1qg6mBu/2VSXYGuigYE0UcsqfrpCo2P3lhMPXytaYR6738Z5r4/JWkO/A0ohzRDlHzPc7shoeWBdbJwV2ijpV1KNCloDhiRF6PrClZZmYySVblf7I9F6wf1Q8/ongsy8+YJfIDlhKxG8ePwMQUUe3X4KwWoJDuTfYsozlXsOjr3FgvgsYHhSv/jwhH4Hz57X1BAYAHSoQFeEUkZ7YD3qwNTt+VIxPinRWTB9X5LXXnv++1987yJ2mCdM0/X3fTkMWeyajHdINrUBDFSiJD3iGwwMuVbTDZ/vZRmVdKYqgEil+5GioG1hHGV7eWqloqMOmtsjrbokgWZCErePbUWN/f6trNCSmId0Atgg1YPdU6Y03WpYF10EB5MpszlqZHdu2Q/Hvct8oCH+0moKlO2/JA1JzmkQ7LVYJYPEL+vd8ry+ux41mtKt9r2QgbZu823tZb2fCM3rtxErhIdxpPjws8oHUEUfP/NpSgXISxKgUCMuCJpRUFVUcmr0+oJpzu8mS1IGq0gB6Ld/m/6igUI6PuwAyTYh5gEgGygZxLgWI1/MJWLB2RVPeZHJ1c1+eqbY/Idv4Zj/U+h+vuWzUfA8MHNX3TGjFJvOxcSgKA1o1anIXH1JIrVCvpQrCQM1rm9re7I4egJYJ3CKfDYApta9Nz3YGMg1afaq3AfL1r30ergfTQIvfifRvPiO4ojZe3dsms9X0AHx/eAY3duQ9+poJtrc3jIKGgJvAkAZpWZ3+fGhBEGydu4qmN3N3GlOngAnqCXABj1aX5YCEgXONFRMs2LXMEoSoqsTNuKHbPWdXbMfWs/8AENJIB6DGbtAANLGvupnXzThss5QOLnndWtv7vs6FdkiApv7sr7bO0b/TWzBsv8Md9FZ20dYybKJ6ANuF6kyCpmWDXFhq+xxcT6q+x7Q7mdtlplz/3GMWWJr4mcRA9oJ40Km9fMHpjboZF/9dq+XUtm/bWm4ZTQBWD80B7DflNls2LKPGNjIb1TNeaM+zHX/PyjdNBmijLfrep3q6GrilbR9t5981HHjO0/FfbytkFaRnp9d12hnnp6/vDkAHU+Bxm871Cs+YuB31PtVJ2nw4Q2fLAGmlHggIGGwxbAYgBgb2W6A79HOSStrheg/xtiw7IYBRClEBWQEJAlm5VcNidYQZ7Xyr5m2Ji8KZv9JawG1AHYLz/nxoPg3rzS0gsnUr6vYYm2CpA+9tH21qPgFY4GttsKbY3+97wuaCYncOpOGahWPXb+BXEJY2KKxzhY25B5leH6+bPxtbDnhmVtu5p1ZS4nWzXj7QsoIZ0EiqNoRzEVZFLrYO3FYJrKWPgcul7w3fE9v7qGBrK6+R9fKW1hZq2NgpA1n9HG26CBbklol0/jhXK3+jwexnGBpgKps5a+dCZcnS1t9pNP6iCFUQwkgl8U3/83RWrAbgBl8DbX7RRb0koUwV8SzWRqsrfYfVjLsFx3VQILAlUKnGPKlcH+7PxZmin2wto+2sbZTorb9zsU4ALr62sK5Wg1FSdTNOJs5UA1BTxfAkCB84n97+xm2NhdXQqMgjbTgzoegZbh9ORcvAp0vF+Fhs70Ro5T0Oz9rA6rAQTNlmkdljuCIuvsF8bdv+a0yNfs12C9s1GoAwFQJqlXNYIxB2TISki62NQGErDQAyQUrJpJCPHymANb8B6t7Or6GSSDdEivnZWNWBdGwAvRZcu916szvjkBbkGnEpCX+3q0xoAd2u+Hgqmh1uWjIr/ce8F2spZuB+Mkry8GIi/J/uK69g7HHh54bHjOHDBbJu+lT9ntcf3id3XoEwdWdDAB0D5rc7u1PWX3pxtxviUKgYR3QEbHrcnBkeDhWkUoSMvkEULf1dE+vBACCdXOxpU09SHDGRnmUGmgIqgHaQbjN/LE7fOEVuM+wZ0lk72mjf7/SHOgjyMSEsFem0EnEbvE7LHLWqiBdma10EhW1f+j32WlE6T1LdQAicGgsFymGAGA3HEcCEagasU/w8yMz7sKFEAeueCtetv97GEPpzu7NO6gkRsvEJpL4Ks5NSOwJbI7PwpGmG1lanGWTxQLfvcvYSoxFSEaw3EemkGJ8V6SJsteSCUNb6wtH7plZra9CBFX+JMiAAzJCZ2uF8N8BbXYRzQXyYEZ48hSyQbZ/cYejBQAimIMwsQI2h1Sbp5tpOi1cVqNCZqUUQVDGYwxc8m7g9dCzD1X/Gz6aztc/Z0vtKhViLKy7G7jzKQmXRK4E1C8rqRg11i/hzgdtj5t4GqQVnKaAGMbTf9lfL9m33gznI88J7yZbhGhJaQNw2kHvVG6ffam4b1T51YKhnTW1Ova7NMjg+D+3rXwTwpGGhOYN514Msz6i8FJ4A0MbQ2xM11XHPiA+9/jabeMP8aqMgP/Y5lsL7zPuA4RmYtFBAza9t+1uH2NWnbTzqQOXmMob+nD4/W1BPiSBf1Wh7C7Jh4EfWrXw3COaUAK81ptp7xHKXsO2ReTUuzTllXZTdLClwdj9xsWfbAjd+2Dd6rn8PW8ywJn/DcGmqvwCioB6p1OptS4BenoBEm1B2EXXqLAsHHzrl1rKBlrUhO0R6K7kN1djpsioC2YhROQ2TfmAwx7sC1rvU6fnbPUhWTmyg2FWNqQcEh6GzAwDLrIFt64QsqOUYmu31bIbTh51C50BsGYFGw1c0sE0KhWmcIllHaXMA5Xmpg+3J0O1rTYLllhncfLDWHXug3BagCC4aERbB8Mi2F6LWaaGynlpq6uNrveAhaF0C2voKaG28WpC9YRRQzV4bw8KZU0gRMo4Ei2OA1Bn46MtTIPNCO3Y79Tq5hXPtWaFm19wPEGD6wExhmYxuZ46iCpAuPL/iBa1FjJcJeZBC2mJ3eh2wlWJn5z41qiKwsbnV9oPSfkD9d8B6E1EGOpJ5L1ZXyDkenhiwZHi5EK8TIpB2DDrzPrKmuqiVFCikkJE1PK7MxggDWI3Wfk2YRWQ2qyA9Lczs2f1riBANV3tgK1Z3JfIUeubZGRZ56mBOYzMVIICKtTpara7wufKBQXC2ulFmf9A+vw30Wy01OI/S/CWyEvKeQQLHu99X2cEyX4r82gKhIsyenULLMJNtKJBaW8Y4Ot3c9387wxWS6QM3nYhXtueLrx3tdcnwtWq+XRLUuz2amKOri4IZybLyHCgTsLzWhp0gAt/+M8W3KUJjBqJiEeDhj61OMto6vRCw8WCoTop4yNjtF5zKRKB0UJT9ipIDakxsVTQIhifFehQsryyAtdZDVA02O7YTlD0wv7EIS9kirA6ADhSn9L2UDwI1Ox9nQZilMQLOXyjyTUV6DEhPzJyOH9HoxXUwGysOQrGd1/kzZYlflTZ+buOGZ+7r6Z5K/7v3BfhL6vM8/zhiPfTzsI7Acpuw3kgDHuJswJezNypMqFFweUM/gf43f5ee+azzxxE5KcJB8fSTgOW1Yn27QuaAfGAm+fzjCr3NkOeI4UOE06shgA48e8tegZsVWAPC/QBUYH5bMb8FpncBt3/LllTLawbSOig0Kk4/Drh8CqyfrwiiOOUR3z7f4LImICnWV5XsQ9PYGJ54/2VC8/Ub+9Oe+fyZYL1VjPeC8Z6DNr6P8JaBADB9FAwPZJuUPRp7AyMwKxm7o7VKLWsA/gf8Z19/uLpyXizL1TdWjdIi/fRMgSHYwhFbxArr36aAhtCofK0Os1DqPV6MjhLRVdBKN3p1FBOAosiCK/uyHycRM/FA0fugWr3tVf2bAF6L1WqKtrVV5iyoGKXhUjt9ODBTp+gbymm2/vmaBIH8K6MeFSJuHrC4Q+UHAfoBy6C0AiGSPu3okDnYvIbdq9MnFF3dGR54KIrQ+DvdqkwdYakjPx/N2W6ftXorb/MgGahnNCqiZ3HihQa0Ho1SlxjsOPrqix7F5nOn0Eh6AqpAnwJ7ggUu8Dq4+AEdVs92A2iyhDqERiHy5yw7HpCOIlGwiN6oaKWjugOWY+jtGNaCcLpAH5+AlCDDAEK9NrwpEdUrpWUrGbx73zBpFKIyEsRpIikmXiFlk81dwMA3e5ZxAwIYha0h1Sudw7DUng1yWmOunYIcPb2OnpEDNn0iu5PttPZqbRYawOTlBLbutt8ndqCqCkJV9my2APSH1I5RKwWo2iAKkCI0xp6x3L78ZyLMsvgzGfXTM6qu4t4yMMLxZVa6Z1KB7sjoxine9jrcBgHbWtCrulYHULaZs40XzuCWY1msLRGNPddxvlHUQaGjBQ3uRNZga1wxnKRnjz3Q92u1+naj5Y2hBfkuUNJr9eyWLROkG7sgpXQBsBh/sM5camWQZXNbU0CZIm2EtR/bZljb+MHoSYu2vrVsS9oBhKaM/v3L2vP5PYACUBWtl3AwETWvuVRshN4yENxm2uHi68PVTrsN71lOd/h5RvD6rcXa2p/zqtd0Oy9erHc7PyQCWoEw216t3saLtnDLeHChNAK3LwYlCor3TG/1X5bJM3XrGgMpbEWRrM9qvQLZwKA09LOS39X1D7bCgWHVniUu3QaVXeznoY1hnnidbHT8fENBl3KoCIcMrYIVgKyCOEe2rDNb5t/paxpKRyQsK3Sg4JbTk/tcwmyNBwa2T1KgeV8r0oK+RwNoZ8aBZSW7Ebpl5ohA1gzMSxs3guQEVdaD7U0LRLdMlvFR23vy3pz0kWPd+lWv1+cjgNanvfWrVg+2tI33VuTKbRAVj72UoSJWZcsiAyvrIBaYuTIt9yTbfKCVMjQQ3+9J3H6ELpBXWMsX3GcRID0sCOcV5WbC+nri9Y5su5NmKqSGlW1sdJeQD4m22JfyXNjJYGPut/5A8+Wc4QCeR+uB6ysuL4DfwrVcrA0TqjYWgWfLIaRJTh/tuW3qXUiz1U3i+vwLRbFE6SrCMJNi9qOOQDko8l3B/tMTQlDUKqhVML/fIz4F5IVBcgwKpQYXvH3l1l60fxo7qxj1v4ykzbdSGuWzNKqydL/A2RFlP/D+lwzdUBriUntSaGRwggrEM+n1n/7ZO/zjt7/FX3z8DL999wpFFOfPEwOXB1PKzVyzyy3Zd7orOEwrdkPGORi7M1Uc7i4oJWCuO9QlIOQIKQzi8tH2+RlNlyHO12JNyyvO1e5bwfioWG8NrFs7kN3OCMseeq1ricD6JmP/9oxLPSI9R5ZB3ivKwBZCTYtBgJgV6QxkZUuiulOk54gym16HrcVoYqjjY8X4uCJ9OCN88wHlJ5/i+YtXrYc2gNZuytsCsZyw32fb47IBCPc9rpDcS9XSU2jU5fkTRX674rMv7vF0nnBZbyhi98mMm9sLHudbDA9kiy0mmFWjQixTOu5XzHVEPHHRrZ+vCLsC+XaP428Lzp8ELK9hDAVThj+sqEPFzS0pwWuNeHjeIS+R6vHHghpiE3LzrPb8Rvo+djuj9MvXV0qauybWfQMNPHMf4uariptfz7i8HfHw82htjzhGq40xz6d0VdP9+15/eJAbOj3CFfoc5aUhicjHgDwR8fUaRTG0WsHJT+eeyvc6XGZ8HQEyQ+Hjp91AdpqyNkTd6WGsFYnXFBvYYgsegHVJez/cvkdt83uo/HnZ9XS9T2QoRrXYKAV2cQFDMzOzbjWm7jwD3UkCGJyUrRWks6+bWiwigqCC8dYB2fx7vaVzsu7Fski9tiEYTRZiAe+G2rbNfAHoh26hSp9sQIZWPx0BF09xtL2MATgk63fnGQAGzWXSxr+XZAXtO2kGWayPlx8wZRfhCtVwZ8CyexTJEay3RLOdHioFqOb8lYFof0qCGAs0SXM2+IwCnQbIft/nZLtktAKI7C0aI+oYUaaI9TZ2Kqw7k5HZ7e14+5rt6qC+zo165Si/1Rj5752ORSpNp+v1msHK4MV4c2wbROf6yquwwFEHZqHdqWlBbu1U9uoiYQWQsQt4vRTbeSkG1WpF/WchQEc2fpOV9Qcy24kVwpX4y8vva+2F7KZabZ7Tj1N3eEsyFNPtzsax3FIvSXvrNL52aEof64bKRgY+vJ42OtlVoOPzYA4pIK1/YrY9lw90/HXozn+9RKAI4kkQRRod0B1a20U21gpS0j0462ut1d8B37NZaWbtVx2Emeco0JogIQBrhuYMVAfaNs5/rcAwQoaEcphQDlR0rZtrfo+yaGPZ2tHYmmWQqn0etqCBj7Xbce1Bcly6psK2nQ4nWyFgRjo9rW3ePOBptcMGZBJ86HvTs5xb+0ZFYGMuWPa10UM3wIvTd9XqdluLn1IRvM4qBn7Gaqm3YmpXYJBTUtcNUIT+zMVUoX2t+xz7XoA5Uw745kkgtrZ7sGDnV6Pu2/BXOlTsr21zZNkwZnf53LWBLNf7qdV+Wl1indhPsh4qZFcw7VaUErAsAYqAvKc+RFg6iMBg95pS70CWs72cftpAK+lnS3TGlp+3CrMHPr42lk5vPs8Q3agrn86AjEBKbQ1oEMx3nWqoAhOD60GYKDCYDgWfg4t58KDNnNtGla99nYdi92WBro9nyyLm2nwZZ6Ns9RdgZ221+ldnUGyDsbDSrNbEc1aqZ7GczfZi39V+/bYXrIygjoGSF+vANTowsxsADM8FXktLsC2ww8CmfeGW3XOlgu/+hTPsrJyn66OY6J3tbe5fbedjW5P2XZo4916G0mjZiW1enBLOZxZUpwlzwyF4TbPb+MrgRKPg8ob+Vdl39lk+VsihYD8tqDXg8bJDXc1qe3A0q7ECbM94OZQBR25DCcpzn5ep+80+P0oMrJW9tERQ1e4TVLWx5PnvrCl/pYuiPpr9MKA9ZECL4Lt3t/j/rAmn04TynCCXgPGetZBlx+cdngThkX7i8Cioc8Ip7nGZRtSnAfEpohbBPI4UlssBkqWpGNeEptasAUbzl/bMyx3n3Ndw3nebNTyY0JITjipaoqxvAPtrCVjmAa5ATF+Mv48XQFS6nc+0ISV3cTj3s+rAPtIeiAdRLHcBZRoxThHDbkC+GTE+sA2U38N6FOSjBdEX86mMGr3eAPMnbL0zvWfmmKwA3fgfwhZJXps7AEi1+ZLffXcLXSKGRYAK1HPCKU6AWIY+qomBCVuEZUBWQc4ROEdM781f2idUA8nm24DLW8Hy5cyj6TEhnAPiqxmfvXlEFMXzOuK8DshLRJ0jsHJ+UaXRpS+fdjGsdO7jgQCcP3ehzwpZKTQ7vyW7oPuSnNPT5wF5t0PeiXUIIICqARiKQBa+N+8FZUPL/32vPzjIlcF2dVUgkAJZrCG8i7vQKPPf6QJM73uQxtYviujFye6oraR4tmL+BRifOCJloiHwDe5tNlQADIIaAqJlc9XosqraDix3QjRElCGgjgHLbWRftRtY/YkffDR2UhXDuaPdy028OhD8kEjngngp5giEbsgLKWyyVtRdQtmn68yzB8uF982XHS5Ok4w83Jpoh0gT9dpmnz1wmV+bw7M5+5tTaAdcvBhtw9BLOhI+ufa3H8Qri+tDtkM0dqVBP0BabUPhPJUpkhJ9NPriZAb7hk6/BCCYGlyNiloEkpOJYAm83i/fRNQ1IJ5trlM/FMNK2sl8Kw3902gB46UfNKKC4ZlZM58znzcIUHcjggiQC2ReNgNg6ztxYHQaSO/aR1xex0bPaM67BelODeztURTDgrYGKTzFe40LUVcHE9yJ9XZLnPNNjZNPUWarDIjXaypgbY78pQNagFsOA+rI7JZTauvgzoOtMwsCigIqAUkrBsuotYDC9yo4Tx6EcWABFJDSvUvWyqiQ8bFQtEd2E3Q38b0h9OC4ZY4rAzL3CZI0MMEDDheZcIqmr62rbGELcm29umBI2Qgf+T175k7699QIyLbdSe3gxdZBD1k7LWoEVkO9810FjhnjfsWnr56wloiPDwfkNaI+RuiZ7897Pks8Gw1w7sEWAQuCdd7SRi0wbn3jPDgwEQd9AgZb82XHXo2+XuLzGbB2cCLi0BpfpUL3A3QcUO5GLHexg1MbIAyQRqlkD0bSndzGOlDTSkRMl8FZC1snO1pgOZysXq2BBn191RQgMTTKteSKYG3sdD+R1i3M+NchIO+NVjlJF2Eyh2cb7MFYLcNzgWRte7C9ane0yy7ChQylqrFIAtKcET+eeP3J6PgvFcQtSPA6dlE0em0dAsqUgEAQT4IiH0KjIruzSzGzHiSpmDMegPXIPV6njf1uc7V5XiVQ62J4w7kHm3W0erxF230BaGUhvfTFe8UKQZwdUO8yhpsF05Txan/BnBPerxFVQFZXYEaxfrCz5Nn60A6hlyIE6dnuQFHEmvyMMRqnMb7SmX7DlHkW8p744GGpBIasD7SaQKFuWgjph3vg9afQ3QgIKY95L7h8yrUyPHGMqu0tlvq4E6eQ2da9KuoiJn7U15iDar2ECj2740G+BfOkXhaEhdnQsGT6CIeN0CHQQJVipSYUHtS+l9RA9tV8JAdHXICsbADL2jPlUIrtBAOY4oWCZ/Obwc6CoZVoMFtYkZ4IzsxvRuRDINtoHuDiVSjaRSu3tGQv8TB/xevwfZ59TAC0YI++o5VJPW5KEuyMdGCH1HFl/83V6sNvGGANT91H8yDoKlGi9j1OG70o1oPg8lm3cxAg31WE1wv2hxmfHk54WCZ8/OYWcglAUuhE+sRw2jCygM6wWTneAuG0CpVt/SzrdbYgC2Pk/8vkPktPEsW5t5LkcynkskLyhj0F+s1pJth5+RRwhV5UQH454ZwYKMXAVjf7b8jIe/hToLxZIb8emRE/C3aF+2O9DKjjgPFC8CovAUscaPsvrMXPNxU6Vsg5Ynh0wAptn6hQm2X+vAAFSM8MrtdXiiUqhvuA/bdiGU4T6MwGvjt4BLQkTDwH5McBydqQOgACsDRSL0CYO8sizoqUaJc08jnSBbgcgcunnL/pHX2L81uu6/PbgDgPSLNi/22+yq4//mzA8ob05OEZVkdK0PL8BVB/fsb544g6kM6/3ih70PoxYXu0JrIwdKwIx4xpyri832H45QQXW1MB6mNEyQIMivrlBVoC9BKpD9CEvwTrJWF4iLj9qp836x1t7OUzwfnLgv/lf/U3eFh2+It/8zOkJ8GruxP+tz/5t/j3zz/Gf//1T3CeB9TnAbKwLWBcDMC/LbTxbwAUweFvE7PwR8H62t7zowUSK/R+RDgL6qFiflOAHBBOfsbRb1heM1APiyCeWdawvqYeTjwPCA9cO8udoMyCv8/rD8/kijAbsMkwOHqjRr1oEtGGhpYdGMz4oZstQ4e+cN0gVeOvt4PBFgMNpDYnZGs4vkeFbOIWthsULRuzpT0CZvyLIeR2KBUztq3u04JSR139nq6yFUCnVm5EGcSERK5qsNp9ojn9jcKMzXXRr1fHeJXd8gC3Ias25o4+8/odaQwrmkPPAvBNsOr34o/mY7JBUa+c1Q067GPhKoYt0+3zlmDiARXDWCCiTaBGo0A1XBn75rx7HUvoc9Zq3LbCSHbw+eHgwXcL1Bcgpr4mWusfp9v/EI22zY/D82IMAWYztr0cGxXNi/Gr0OFCH49GTxO2O1I1GqiNb1sbys/2dhPaMwT+j5Yps79dQdfv04WgolF+XYBn87qi5WoPEGWzD9QonQy48P1MXtWWXUYw1cCAZh+8/pCgVG77yFN/stmj3o6lzbn/zOa8t+ThGsw7ac4Oa2s2z7ANch31F7AOP6IFti1z2OYazaFvVHL3SuKLJeJO7ct9GAGNipAqYqQYUhAGMdKyw5txfzGkV23GorRAv45W/zuRmtgcQ9srgF070HkMxv64yrL/rpftA6/drRsgy4ON71HtKiAipuB87YC0Z2prv++DYMJxLYPu7/EM6ta+/tDL15CzFDbP32zBxpY0erqDT0bDa/vxhf3+fraawVITs/H3BGkAWGcmdPvS9kFV76x2vQcbCwJwgasmZCfaggLvfdvakaE/j9eGXtlBt3+bsUfdzNl2jyhsL9o9+COLtPrJHnBvHPIBdNSGipQqUuCfEimcwtYdff1UY9B48CMKiniptmf2Pe9MhfbZoTv7ogpdWZoS1tDX2absx8eWs/FiLseJc5Zio/6TBYRW1/k9XQ4bzzL2sWiBjND3aC16HPSx97Szdjvt1deedj/BARij6BN8iFd7rs2vM6hin/utveIEotMlvQTGs/WF9rAitDPm5foXa0HEPsn28yDXGl8Ofsjm/2brm12yfuWsz5U2ZgyiQ7Pl2zO/evDq5VLBetPWPk8SwBIBs+Xi7Km2gNF8Nc/IQ9DbOikao7C1CerbFxosGzna+I4VMRWMKWNKGVNJzLY5w8WA/upCdH7mFb8+GWs+/628xnUinKFjdr09Ruy/d3/Q2WwtaSMwO9RRrrwLwD5YGZWvHW3nec92mj2xDhh8XwVygCZtnS9c0MkZDOIq1VZrC/DfUoFwEdTCLiBlxwVy1SIu2NzMG8bbD/nR7jdePf9mH3i29mznQGAf6yGY+F3t51JXp0YDQMMq8JacxRiAwwMH34Fz9rRF+ywDUaH4o++rwlrits583dbrc6mBkGZTyliBqKiX2N4rK99Yk2K1IEAT2AZr7HtE1gBFRa2bUM73kG9Smxf3yb2couyosKyD4u+eXmEpEXVfsIaAIIrfLK/wbj5iyRG1CmSfCewWZoo1AUjuYElbp2R28PvrqLhqdwpAFhsEWwMagLrZtFKl/UHTy7A5zGh6A9d8hd/9+sOD3DFZnR1bqXgja28onPc0EP6qo6FrhehanNk6YktvYwE26zjKLqBMRArDSgQ8nbQfimIZUqtpCi5k4c6/O0p+iHiQURXeaqAhrlmRTqTGhKyIK1AGAAd+lUZBgWI4A/HMYMID723Q6llGpxR1EZxEim7RhsA1cSk4JYliLwAQLplo3sRWFWGtwAqUKWB+O/SArzlzRiHbSwMTNIHITmVdxPK2AArEZ+tTNRhCtqKJAjRZ8NkoHIshUgrSI0c/ZCwz+lxtDHgP64GO8VbMRApXW9kpyqQYX8346duPmHPCnBOWHHEqzLjrqCilH3A8aL0uO2wMXj8FHLGTwjW23Hk9km1sB1Ug7f8EUqh8qAKkR4WcTVJuS6MFoKVAq1Fuhc7Vuhcsr6W1NdCgFEKYXSiBjrSPQ3cueisMV/BsvfDQndO4FkP+WUcclsJMlioFg2y9sIDKPKyNg6dDAiLXU9klBrrmcLOFEp0CjyMaij3zHtlORG3fBv7sVJuCLC+i7T4UtgYPbOfijANNAXpLafswZdaFmoIvKZs2l0OCxsiMl2VlWnBrWcDlNrKdQ/JsBe0JM3Wm4uoOO6e7v4Q/D6XXvzqbISxe32RjYBmSLZ279XU1h9BF7spE9kqjgI9AtvpE2RUMY0ZKP2CSg7Y2acFrjIye2AAyABhgPaUj6iCYX0WKiNyRecKDk8Cb99CLC1BWp1AGhGDUKp8vn/SwjQwBPR54sJxnoBzaOK83TsMG6qBtDMMqGJxVcxJoVURjSFz3xbaxXmpzuP09TkvdzpEzXLyNiSuX08YEnlw7Hiz1MNLWWibwWi2310c3gEPs/HlWa3Pg19kslQ14xEyOZXlh9h0O2Cg0BuRXe9vvvF+p4CkcmcEF0DJcrkzu4ETrye7BROilBE1Mb2C9U9ltnAGbA4299cP4kS1rHOB0jQWpzGLEVbuKtdsb2WT1hI7xNkviIJ6DhWVysAnIt52pMA0Z05AxxIKqgpgKVAVlrKiZdZ/OWEingACzJYXU7zoamGM+hAsAdcDchFQArLMYWyhg2AcMp4rd+5WZ8LoBI1Iym10gmxS3fv4J6sgWQutNwuUN62vXW1IJ17utY8rMwnjPOTt/xkV0+Fpx/G02ZhnPEM+ytetsQK/VhJF0Qcu6pjNZX1TfDfD2PcgV8cMJuh+xvBqhicq823WqEVh2RqedzLn0s9mCAWpOaKv1c+bE+MQAer5jtnx6qBgec1vfziYJ5qC6iKTXr8a5My7SuftmCoWsaqwi1n2WMWB15ptrmcSIqsByE1pQ5crFee9BhPYaW3vm5TWaLWkMrQo01dxNoC4ZiKVn7aBWNxmB8YHMkZpITb0KCtwO2R6rg2L9fEXcZ9zsF+zHFa92F3w2PWEXV7x7fcDlPKK8n5AemY1cboXaJuD+G84Fca6YPxlwfsv3JNMwWW4Z1DYhxINiectFNLwPm76o0oA3sjciwhSQngvikqExoBxHlM35/PxFRP48oOzpd3k/bE0KVcH6ukCOGboGYA0oN8DymQJVEJ8Chg8RZad4+gUFnY5f0W+qyZSUL7AyBI6Zi27FizAbtwCnLxThT5+wLgnpr3ZIJwMqBgrSHb8i03O9676oWAug4jWvakD2zkSiAhpboOzoPx1/zT3/4R9XfP5n7/DNN68QlgnpIhgeafcc5MgH4PIpJ3x84PeXHff24WvF2/9hweXtgG//maDsK27+JmK47yBRGQSPP+XijGe1OVbs/rJivgt4+invN+wN2RJFeRjZaszGigCK4vCjZ/zJ2/f4u4c7fPjmFnKJ2P0mIq7Acjug7AbIVLG+zcBQMexZ7K/vdohPAelDQjwDZQ9cfpyhqbLUIBtgUwU1KS627qQQEDj98YrPfvoR7z7c4Lv/9kcoO+DLf/I1fnJzj7+5/wT/57/8Ryg5oswRcZfxD372NQ5pwb/96idY30/QXUHaZ7aQ+jggrGT21IFZ/HJbuI9mKlSzRFIwfSeY7um3nb6o0Kki3q4IsSB/fcD03ZbBZHFUZLw4Pirm1xQyq8vmwP49r/8ymVw7iL3oukZz+hMDjjr2xdGzfNq49lfGxQynB7Vq9Y1NqGHTvw2ukuw0SgBX9XLb2kp58bP2Hr8uUctQ1CbErhU6QqU9Hm09eVu9TOV3bLO3zXExJ11MZCSgbpxMu37p10B0ZJWcNCKim+cycRDPTGBzDXVKsGfPk7KRdLas7t7qAq34v06GIsUAOckmc7xBffI1irXNHHEs+ty1wXZk2RE3f4swGBmGgn2icpu+mLYt2ng1VbZ+vpetEPSWTx7wJ4IYVTaiSrWjTGIOwLbOEaoMwETwvTY22uFFFa+93GbMdZM53oyVI/O6AUI273EBlVaLZRNwxRQwpdfeUsbqbmplzasP8IsMBoPD0DO5YTsRm+/X74+z15x5DXlfEy+usfnbg4wmPKQCXf33AgmA1sC7zWCdrt23FIWOXDdX9+p1XZs6RM+ee81G2WkLcvt+xg++QhaoZWR1s2632Ucfgy3yv82MeGsuzp3Xm3QnrVH4I4BAR9G2CuqmjogOsO0X9eBc+zVC3wONtREt4zQZoLXTZne3SLvXhbea4hf78He9NAqQuQ8ctPKG8c3xHAAtamwQC8asDqJlDQtYb69Cx9eQ3tY70oV0NkHU9Y34XvF1zwD6au1ts/0NLHzxNVtbsfk351gbqPCDGeOX69ynyjO5Cs4RpANN9TrIeQmW9Z/3/XIlcLjJxLn9cEo+AcL+LK1HeQTKvvK9zxFqFGbdJgDtXG0K17beVQDPdYoqqp8j2NjbbQYFm0yEOWohVoSgCKFCtoi82fHrZ0bPlgEdhFZFFbmaoy0bqbfj6g+kmQAJaba/Y3H7+R1CB74A6I4CeC6+5Nch60zb+fG9SQOusqcEa/pYbXUeeqYObGrly6mdAds9sJn/FExboXANGlhzJb6EzVkX+3huGVCdKYeuzCto4Ix3lWhUWlvfNYb2PvWzfMOiaYDflrVktqKVXrl+g4M50eytm2i7HQfj2/NE1nfrAJTR5kF72ZLXboaFlNiWqV0Vye6p7Q+19VX69ba2PDjg5PvsdywhFSCMBeOYMaaMMRZMMSOFgjEU7IaMUgKKTvST1NbH9l6K99tmgBSCtiCkrb3QzzfdMxmhQ4CuuLIJbf4j/RsAkFKZaBoiVLaZXDEfvPtEndWiwKBIY0EWmAaGIkyF/34eG4imu4J6Ds22e/cTcT/BADAKnxr192ygTwHGMaOWYJT5vl8kA2llUqPsBVWtL65nfDdrurXr3P7c5rMlNCqACHyyP+HD/oA6TKg2J6HQxtQN+CkVGGZ+Z9nD6tiB4WFBPkYmQHaV4LuZffdDXFE9rDT96axIp4p173uFG6plcn1/jR2ogAC7ccVnuyc8zDt8HCrUmSkWGGpW1B0QDhkxFdweL6g14OOHCV4/Hi9o+9jvr2dyuUbKDlfgPsaKTw/PeH9/xPDE+3w1XfAnx3f4649vsTyPNqdcxHfjBa+GC9JQkAPXUogVtQjZGYW2og4U2sRQ+dl1Y3uFayVe2HOY/dYUIRYMQ0Gx9eX+bxs3dbujZrNfxAy/5/WHB7mqwPkC5AL92RucfhSaIIUmpeT4jn3z3DDFGWyoPhNh8/rXRlsDkU0vPg9LhdfheXsAik5Uy2zZrQjg4hUyeP1kbC0JvJWQ1n56SVYERw2iqSqmviKlArt7zlATtQGdyLBxkraKqN4P7opWGYCaFGGSa0TZM0fPhT1/PSNZlVnpCsjM39U9a3mdvq1qrUqMnktVPqqx1VGhtxlhKKinBFkC9Cbj7tUZCuA8TahVgCUCmQ5xHWhg0mKF+Ms11WpLgRufej1r3nn2iAYtnbU5Wtv+iU0QRYUqfCWhqmCMBaUG1CrQNSCeAtJJMJyIdrKXWm2CXp49qztH/KlKuNx5XaZ2B2NnGdOF97hmOsbJvntL7W2vSHqtbikgIkCMEBHUXcJyQ+RfzZGro435QDppnEnpCAtQZ+3qel6jOIa2ZrcOj4MLLkzT+uJaP1oGWD0AbOUCtdfhtjY9XpifWbujMQBjQEWFVG8lBUQoGlihPQhphslo86Q7bgINVaqhWksbr4Ns9LUoiM6esH3SmBbbfegByxCbUBxVlX2P9DrUPHVFV0d+y6QUs9gXhKnY19l+VKMR5gCtgnIJiM/RaEsmaOEOooB00o0zGi9cS17T644YJ4rP6iqrnt0i0qxQsQBXFFUFT5eJW8l+XlKv4/XxDC5O58vOgZVIsbBsWdWyJzOj7IwSOnggGWy/CMpZ2vrulHTh+tjveva/9CyzzBkyK3RZoMKsSj4K5k8UZaS4EKJCLtyngKnZGu23C6QZk8JrczMzPd5uydcZoEjodrCtH1sjrf1OQAskHWhpLTjU95X9Lmljz4RMZzIWbW2MgokuDSdtyvzhUjh/o2Vdc+2OewCoMh02a8Uyw4EZtnRi1jIAUFXEXKG1trOAwUbtZ1TqAkLtpegCaRZ45aPg8pa2udwWOg62/CAKMadfhOfBZaiQHIDM2q0wU+ykOYAgO6kMzISmC0HGdU9ArIluFSBazTD3nwnjDBunfRakB9aFLVGxnxbkEnF/2SGXgFIEWgXxKWK8FwyPxtyavcWfqWavBVUGMhZCr6POR8Fq/dTLjnuq2jqXyt7yaoB6mQTrMXXguaixlarV5a7QMrehrkNE8dZnwYBcBUXipgqkCokUREQR1JyMVYOrsp35la2XirZOG3DqoKfZ9/17X7t9LpwlMj6sgCrbde0mpHNiA4ExMRu/VNbtzqVdO5gQZYUFBgbUt2DYApDpgSyEVge70bvYv+fDxAvPiPV2wPwmMjB5KC0wcBbXYrTVIQSErBgeK9KlYD0kzK8T0qViejdDijKbZEJj8T7TF3KBT6tDzfuupVB2ts4/yYhT4flTBXGomHYrVIF1oc9QLglYzbleAyKkBV/rkWsiXiiUCZDd5jbHM755skzeM+fNNSrUyjLKzgNuRT0lnHNASgV3O66jXCOqCo4ja73Pw6EHSU9kQg3P1TRKtDEm0tl8AFu7eU+GAn04C+wtgC+jWiJQLIDs4pWthd5aEe/PqHd7XD7dIW+Ep9Yb4OYbxXSvePx5wPOfLcAeWI60IXGfEVNFiBXYrViXBP0wMvs3KcqeYkHxPlkGVuFlX54IasHqY0Scgdd/WTE+FDx9mXB5S9tz+ovXnB8rixcHXsynHB8Vt19ReG25ZQzh+2S9FTz9jMHQ7tuA9MyM/vK6Il4E6Znf8/QzoUjRruBv37/BekmIN8z8pjPteBmksUK8PCQf0Md2Jl37u396g+VOoIcVMhWcvoyY39CWpmeureNv6lW3gbwXPH3JFkJ11BYAk12oGF7PkKBIqaCUgHq/A4rg+TzhP378DF+/v0P87cTP/jcPGKcF63lCWRKOxxk/vntElIoxFpzzgPv1NYXAJuB056JT3DPuG8SLYP9VQh1YZwyQ0ROKQJ4S/sNXP0LNAU9/ukKmiqdlwp8//BjnhXWOYaiIA0tP/v13n0NVMH9zwPgxYL0JWBODcj/FYjtrAlZli05XUs63FXWnOB0qzl8IdFSEmxWiwPpxh7wK4sJ77+UwivImQ1LFfNqxxvgIlGNFTVs0+Xe//vAgt5pDdJlJJ7xDo8BqAOqelD0NARWBkto5tOJvHhraMykNpSLiIkZ9o/EJzRGQAsRSES4rEVnL6m6dkqCkkrU+oACgjhY7AsZN6/U07sTSOSb1JhkdNx8332VOV1NANee9eq1EsKyh1wqG/lzfy6ooA3kvgIeA2ZQQAFTITLGVuk/wZuqhKJPHYk6RNanOB0V5nSFTwd3dGdOQ8TDtsFwG7PYrXu0pCT7EgrVEPD/uUNdEY5OIjrvSXK+v04ZIeiP2dFGkc0XeU8AooB/grtZcJmHNVnQxLLQgrlbBWiJiqBhDwRIi0cMs5qR3Q+rtc0JR9lOseqW2mXdgS4HJMltWK6xBoZM7BV3xz4v3gY3z//IVNmlY+79YoFuHaNL30uZRE6CjtiyeSt/czFz0YEPF1rCDGBbUOsqtzdHsTIEWdHJJbO6LQbsA8N6miMze9iBAgbXwGkO4otx6wNyo1Nqpiy/rKrsQ0nY7SWtpkw+kXTZKtgDF+oY6OCGrBd9BKSwFEFSwlky9ZZA0YKplKzyjOBKVzDeVyH4AEBTDYcXxMCOEitGokmsJqDVgXhMVX2WgEqaxE4Lbgw1Q1ramGgiXlQrhhiQ3ITjlZLoIzzbjtd3jIlzvxYyACCCB976t9+3zotegi1Fmi/eenkzXYOSa06jAWKEVqKsBBu6sbYL2LSgiKZEJkAGEDrqhFK4Va/3E2l8b66ki7DJCVGQdoIuglp55bBlCz9hY0CuVfcGlKNbbEVS7B9sDAVQWlw2IsHn2xhzwemgbj77++X8Xc0Kt3CJZWTtYOngDmJM5c+3HudK5WdnSrcqL2kfP+BtzpkwbeyBofTwHAVsGVTC4Lhas582YQzfZtv6drQ9o6d/bWDmRYkfrJwUYK9Iu0xm11zAU7McVVYHLMqCUAJ0yCSmXAeVEWpXPyVUGKAmwKnTmI7uOA8s4wDY1jelgmfTg9ajaAop0pqfofT1LFZQaUWqAVgJLaUEDFWNThEUTzZO1sOzJz27LGJYR5mgryrH2uTEGDktYnFWj1r3B21zZ+VkKtFToskK194SmynzvvS1U2aMK+q47/jlH1ByAuQenW6p33rOMI9nvvRykDB2w8b64w2NGXCvyLl6JeklVhNMKqRVlf0A+2v6YEwXXjG0jK32BENiOsCJYJpjrvAKIRVtmy8tk0pmBliTOM8sEuD+Hp0IgaQNMznc8g8dHGxdX2TagIxRFNRaH2JmsUbDc0DfZGd3aW72FCwN0TBHLgUKNeerUag9w85E25vaTZxynBc/ziGVJOO5nfHH7iFwD3p8PmNeEc6goOaIuzLDpGlp2mb6HIs6CuGoDaAAT2lxoV1xw0UXDXHW/i3cyONEI1j5WgvNssaRYzZ7v0kqGTvRxJZDj5T7elmprf1hvjl5rPgJ1pw2UN+cOmujn1QX0D+18bWUDAbR9pwtwM6HsAvKmVVbdK6ZfKW7/+oz51QGnoSIOFWkoDQgWUcRYMaWC+xKgzwTA108qZJ+B+wHxHBrlHe4juL2yZ44z+7wef3NBenfG6fM3yAf6+ftvpJ9DNg7BM9RC23DzV08IS8b5p7fsDGL7vewCyg2pr/GXAft3FdkSGxCOdRkE89uK8OmMUIHz0wRdIgFwWD1ytaz2gJYVVkHrJ52eeR/LreD8OdekTAUxVZQ3C9a7gHJPrnTIwPQhI11KY66txwHzawNt7ChpNflJcTzMuN3N+PLmHk/rhD9ffox6Ssg54uPzHuVhxOFesLwG/lc//Rv845u/w//jwy/w1eNrfLI/4Y9v3gNgO59386GNeT5uejZn800m2sv0HDF9AJY7YP4RD4H4kKBZSZ3+bgJuCu5+9IQUC5YS8c3zDXIOdBWiYr9bUWrA08MeugQMD+xDXCOQbwK2nWCCCV75HgoFSE/0EfIrQPYZaSwYp26LlyVCniek554Q08iyRR0q9ncXDKng+ThyLewAHStUN47o73n9l8nkilhDdkNqRFCSGdss0ItlVUdmNLZ0MaeXENFUUw6jIwcRpHMFzGmOsxsA/V5w4hsimDKxBmEdItA/56/ogWhXApSiPJBnd/Q9yLCDSHlY8MvtzzaDu6WcvXBUytQPCKAH816X4S0cPPvAoEXhLSh0P5AxYP3yXIinFcBvKV0jEPYZ027F57dPuB0uuBwGlBowpYybNGOpEd/gFpesuKRKaoEqdARKUuQlsp4iALoCcXGqYK858iA2m/hNyAaLOboerG/fjvMdZy54NUdq+bDDr5aIYcq4Pcy4rAl6SgiX0JFyBwgEiFOAZkWyA4PBojQksFG3jALicyGJ0ZrmQPqoBzQOZhSqnYaFmVJYr1k5z5Dakf+WPS3FUF57viPR5zpVYKhQhObk1gjI4EZUegAJd95hByAaSOIS+cyUZLh6uK8F2aw31v3VHuAalZmU6woZrF+h1QW64A6qZ9HQWmd4n8ytGEoLuCqwpaHxg0CjRL9Q9mZbGxOfsOx1OhlIURIkVoohGUVcXHjGvq/t6UAlUY3SDrV8FKxHZnbUxnw8rEip4PXxjNtxRgoVu0jHY6kJuQbczztcloH9O9eAugTEU6dFXf3ZCLVoBCrkKnhtbI4NeNYCO1v/IQt0FdQ10IgLWrZNq6CqYNs3udsx6SrZXHjNtoQCKktuywe89cJCSpC34OoBCXorloFrOzDqvg4W/TlUgRhZyyheK+62zVB7UTp00QOmfk0AraUHD1xTYx8iJPbMtVawRKJarbnChLWoHu+Z1M0G7GCO37cr8dq6qUGgMcGFNwjGVSpytiyWWnbeeqvX3oM3iEAtiGzATqmQKr0cwoIwSKeMawjQOPR1vtauE2FzSYCn2tbJtEfo54ZakO99tvOe/SXLjgBGnArubk/YDRkCNEfbHdXbaSFbYB6x5ISSIzREaNTWeiS4+MoGWFbT//Cfc90Y4GAgVBn6WeP37P93mmA+RzxNu85SKAFlDdA10Bk60AbGi+8T2pM6JsgQoWPoAEfzD9AoqXxohYyV+2ehjYlWFuUgi7N9ggVaUKUq9/GAUBPw2JdUs/lILaPY2CMqUBXEWBFCxToS3Oz3pBAfA6HiK8cGjSorpqDstdVl34Nb78nqvc8dzAlLRZwD760ogmYMT0ZrHSPKLvEaiUwXt7HVyhR4f9c+TFjNxlrLNiXGeLW/8s1A1eZJqAyrivUmYj0aI81YKmKAW94JZABCSeyjHIHdfUGYjdkhYWMPBFXDRqDRnNlR2tyVSRE/nTGMGcdpwS5lvN2fsIsrUqjYxxVrjTikBUtN+Ob5Bqd5xFlH1AuD67wHgqnix7PVdLZsJ9ddXAmauxCT11fCgh1nnrmOTDpbosI6C65rxPMy4pITHuYdqgqelwFric3ZrwmmS0L/taoL6Rj4MDs7SLofkl6UpEUDwHMgAzJ3HYk8hQ4gqtnGww4QwfBcrpg56YFsv9OXO8yvBcmCi/lMJeQwVAbsophlQJ5Tq9RKDxH6ZDZgR38lH6WpHTvlGAIMz4p04s/LFIG3e/ZrToqSYMGuYPrYM6bpophfCS5v6U/tfnRAOlOUMl4U8+vAWvkjEM7BACb0YFk4RulCls70PmDRCTooNFWEU8T0LvQYYwJZEdafV0e0rLRU/n7esd5z/TRzk+SAvASEJ/Z2TSdT6l6ULSt3wUAkZ71w3+3eSbNhLVg3+/wrfY1SA3b7BWXMKDnich4RblZc/tGKabdirgl/df4M98seS454fz7gaZkQQ8UUM+aS7AyigvL4HXvK5teZwe2HhDDzYLl8xsRjOAeeB3cZJfLZpAhQgcePB5A2zMGta2A5iARcZlIw05ihKWB9w5arGhRyjuZPcn1TbZ+6EMdfW3DrvYD3BYebGSkyCVEs0RWCYj1UaAgIq6lHVyHLugac3+9xFmD3FBo1Oz4kyLIB53/P6w8PcnMBJAEDW+LEGc3gwIR4MAtFWA6Z5DQJjRLlAQ1RNaKVKkbD9YztxRzkC+slPZvZXgHQSGpSmCnIk1/tkQ8R6VIQT/nKaXSD3lQm1WpUAiXUQ5beaNvUwlQF431GWFnUXcbQUC3AnBVxZ0oaWl6sMN7Rum3tnFO3RLvzdFXCZNTWfEgom8NRNgE0W6JI61dYdoqbmwvudjP+4d03eDs+4dP0hFfxGac64X2+wX3ZY6kJj8uE0zQSnQyKmArWJWHNwnnbHFQNuXf6ZrQsqtEZpaDRkWskIr/eMOMUL8D40YXCGAjFOaHGiOVVxf1nAXmNSA/RJN47cpz3QIiCuATSW07S6JzboLbVmXidsnkaYSxMjDuybPKmLZtqtTJxNig8BGBZoaczdNNX0fuhqip0CGxwfmCLGE0VMlVIrKSAi0Cjtkxv3lu2oNoaL2iZzbjSmaGjjga4SGE7CSmWgd1maQ1Y2tYRs0aX6ImAB4XTltlWpRsEqQSMggsTwJDVxRBnp9SZQFFbky6sA0AldMEcr9cykaa8MyqVfUdYBDsQICFlK0BzgCzR6IrzFVjEqdOr/tXLkWt9uQXWVyZWcLNiHDN+9uYjXk1nvBouuEtnBrlhRdGAVSPmmvDV6TXulz1CqLhXQTkliHYhhtZYPrPOsbWSEfSaUTvQOYhASf1nLqKk0RJSK8eojBE5KiQQLVcV0vJLd1y2duSqnsyd+w3rhL38ehsBjBVYBeEc4UJQLZux4/e0lmtLaGtZndKmFdgioqpAiJBpBAJab0+/Nwl8FrGefLUC1cA7Bn+KYuJJITEDWIIf+NoUoqFASAJkIM2FmZ8hQCxzJaVuritX99fUaCdjLJjNrVNE3seeJSyK4ZG1bUSAKWCYzoWg6WllEGviR6KKaHuLZ4ww01gqwhiaurQr/q4HsR6xpNSFRbELBAXjXFsruAYamWicrrbXZUJwwNWEsfKO+yffkHaZD4o4FUy7BX/06gPeTicEqYiiOJcBj+uEFCpeDWzY+FePn+L9aY8lRdSQOEfmsIdFKAq22l7cgogr19a653lVwOfjB9GyNVD+32sIJQNRBeE5YpEJGBiQaxHoOUEKaY9sIyqtX6XPZZ1iK/FpOg/gdVwLotmfoWI6LqhV2IM3BJSZ9Fyvj3UwPFj/cFWFDAPbTNUB+Nq+XgRhLpDzCnyxQz4C5aDYKoGqMls+poKHHFEmCwyMgthqJAMdWNovtMxUXCxj5+JZEpjZOLFNT1xJEaZehAEga0F6BgHOUoAVSOcVmgIuX95iuQ3wfp6t7hYUvqmV8+oikQ5oxrmQ/WRAQgOKHMAUwXIXcXkdkM6K6aGgJvaIrcYe0ci58OtmWxt1DJAM7N9X7H9LlhhrQztgScZC7GCoAf6uqaBBUY8F//CLb7CLK5aaEETxz17/Ev/1/it8m2/x1fIJADS7/u/SF/jmdIvf5oDlfiTd+MbKrU5AOHEO60AbFqxllvfiXvcs+2hlOpu5a6VValmoBFKWI1DWiKcLS71y5gdqDewPuxqYOLJ0Kp0U41NA1Mq1nWiX0on2aN27n2M9UZ11Ewgicj10IctgpTV5b5n2p2pZaEG9ZZA7fpgRNrT86SOVkZe7iPnTitv9gnlNWD8kMtv2BXWsBN2yAIW+C1QwfhCkC8sllrcsd1pWsXaHHRRDYJB7+Ibsn/UmYn4V2TYyKjPUhwI5R+y+C0gnin6ls+L8WcL5y4L1OWB4ShieI8bHgnQqePoy4unnavRvF7LaOsiwDCz9lsNvB6RTwHKnyDeC8UPAza+4Xs+fcr2lE0uQNLq/hZahnt9YVvTTFV9++R6necTH39whXAJ2X4fWVizOXCeXN1z7x99SkNNtYzwD+3csTbl8EtiaU2G9wxMeHg8IseDHbx4xpYy//fYN6sMOb768x//uj/97rBrxbx++xF+cP8PH8x5riXh63mG9JIRUcXN7YZ4tEOwfnoD9N8DlE0H9MkOCYvzrAbvvFM8/AS5frJAlYPjIfRm/OOGT22d8d3+D5XEE1oDw7WhxCMcLo7LspwpWFYSh4vbmjBQr5sOMUgJOH/dI3w4tloNYCdlYMP5Fwif/YcFyG3H/pxE5KaabGV++fmC7UBVcMhMQMVaE2xV1F4CPAwYLxqECgSB8ZDA+3nPuRtN4Ke7P/Gdef3iQCxAhtPYkACeUWSZX7+XhQZEO/r5l3iLf5+0ktkiuv5xeLF6P66IkbqTdGdpkgaRUhDUwgNhmRQSQtdKGbH2nuAlEVm01V1e1vJHBLgCrs9j0LQ1Gr9gIxDhlsWWAHPk1gN/RPKlGfYWritm1kgdk/cBQo+qWUdoB5BncslPoVDHEgiEWBKkI5j1Xg6iHkDHUgjFkjCFhTBl5DN35rgIvNOehhk5bwyYIeZFNdyozxwItOPa5rqM0510cQBdAqqBY0MM5ModKOgJ29TIk2CkzdN4FAIMpOqimylgE1dGeOUDWcJVxa+IrKaCOitjuPwDjwExAW1Dm9Nr8hJXXlYXzphZ7ei2NK582UY62DsT2AsPRlpH9oVcA5yLYf66Eoxgkf09wJwgdfxMBoYJx6Ou02jwECzh9a3jWtlGjnZp8nUF2ZwwItkeMdjlIqyMsRkUj7d0C/kH65+wAj2u1ANmYHj8gHtQowMlRdtZIYVCMY8ZuXHEcZhzTgskQs0EKbuIFa034Zr3FuQyoKm0vcEFKy65zAOyv9hayKV6KxzVhIEFz/v3nV3bLgCxZyWTRpIDVGants+bPb4PnbYZl831NBM7q7II5G2UmDV9crCODteC2d72m/ior6rW4to6uMroiDUjpgAMQZkGViBIUmMCyBstC+/17dqbNnaABlf5sVLfuVFjPYEmtXOuewfU1V/u6FQ+4VY3WbwNt66edO4110Ndto5mW/qyNJQGYAFRoZ0R7BU6wr0234U1Y0ew5UWdXiiaFP6yxU69FIVHM7rmB41jUICjeHsqy4KQxkrK12y047hbcDDP2cWFWDIIkFbfDps7UjC5NgDkrm4xrAwGd0WLjIj43eLFO0OfVA9rgwZ3baZ/TVaBLaAi8VsEPvbx0w8Ex1l3z+sGm17NEYRbECJQFZIQhYkmJe2cLEPl92lmqwa4fAmQYgCHRpm8mNl5yy7y19ZYBLNSGqAZM1RJRx8wSh/YMaOVUEK6raP3PveTE9UW25R+tvdy27MNBRQfb54LgTKWBWRIUAIEMh3SR9rxbsTa/J26M60nUBjL52Gov00rGCvOAWTwo7UB963JgdOe2NDZrhiyb1EouWqnMxj54wsAzpwBQR9LRMSjWGhtDIZmBWDWimO9SVXCpA1aNWAodZAAmTmVzoq7EvgnKN2NENoK0kqar8putzyxoe4If5p86R5wx0nexI1at9nx7njA7Sz9N1HRo1goJL0siDHw6g6VdSdhbNpD149nL7TrfnjdXgn12VmNj4zzb5y2Qnk/TFbXaA2uJlb7rHGhr1UpiPKtt4+Eia2Xa1C/b7/KBtJBtOz0EOwfngHQWDE+K8Zn3V3Zcd+ESICvnpoxWFqIM5ssxI8wB431A6//s7KFmA2w9m45MvPA90TK0ze65KrMw4bTcVctkmg8++OQBi3X8kMUSPuhj3fReEoAILK8iqmmF1AhgD5w/JaDkQA6KMFsbtHVbGGLBEIrZ6s7KqRDkGpE1YD+sSLE0FpgEMgPU0CpNPR7QhO5feLwxKdLtinxK0EfrgKHoApgBQDDdpCyNAeH1sADXd0XAeR4QN+UyYSrIrwNkEQz3ASETxKwl2HhKK9mEAPPThK/kNQZT4M8lYp6HdlaIn1mytZekwHt5q6+3lwy43/f6g4NcLRU47qDjgLKzbKPRRTQpylGBI2uJxIJdf9EhUAzPZnwt8GmOlfe0sno8TRHYZL9IJatXO11TaFTPsJR2gCBS6AMA0tNCsYvDyHYnQUi5EV4zrEbVOYSe1QGYJdCAdCpIp7XVFEGEdnKIzGTttxRONGPkgShvFKgzm3LHBSiDSexbHQcdgKE/vwBOac57R1lJA6kDsLyqqHcZw3HF6/0Fx4FZyLkmvM9HPJYdolQMUrALK26HGcE21Xla8OG0x/M9Ofdx4aIanimgsKUC5x3ndzh1gwcA2GSO2mFvjoNGomRQNttmjy60DEN9Hsw4+uGogEijkTQaWmF2D/sEqczSRBNQKab6mHcmTLQnzbIov3t8CFfqlH4ASgXWG9aTpieDw1MEpiMH9jt/vgAEa0exVIwfWfOjkQFy3gszUaWDA+lsQUb1NSBwxVv2i1TUwlYazSG3bCCESolNPArgWi4MCCQXc+atjhXoAe5k8tGlQtbMDNISzUkPQBQUJASlimcT33KnxYAhMRonagXKxqKYSBSMTpwPgYJIt6SA5SPXeTRqDyBYjgy+HCSYPgoZFkFQb6wVTAo9yDXnyB1/7wlbdoDsC6bjgi9eP+A4LPjp4SNu4oxTHTHXAXfpgi+Hj/hYDvg3jz/Bx3nfbr3WYDW5wtZaG9Vwd96ZqWIQ4s5EGfqhXrwW24ELA+u2DlPrI/jEGqc6Keo+mGHre8QdgRrp/HvbJW+JQ5S09uwNnG3CvRJW55DyT6v/e6BdZasoRVNCVSWdbVm5XsTRmc0yMwZAGUNTU52+Y+/j+S1pl7IKwhxasFoTKLhhPQXTRbnOJrIl0pnXT5fCumFsbEWxda35WlStVsiFgjySSb1vDqkqwrwaVZggqxRFvJQr6r/bpjiXVq/UlvFaIJcVuh8pOGVMk7bGhecJBhsLc/qzt7DaobXd6uJk1u4uJ2MtuKpqQIljvzdwv8fnFTgOKK8TSz+MNpuPinxUyKsFf/rpO9wNF/x09xFTyHi3HvGw7nGXZnw5PmGtEb+ZXzUwJwaqHSNVaKEt9DIRBjzK2tvSS3C2Cr2NTly5LtcDnaV4FqRLD1pY6gPLpghC5plUFuGycvE1cyK3ZSLuK8RTbu1P1Pa/PsLqZUesF+l2SwD9uBF6sgAA6vcZKExVuBHLcUTEDR9JBBo6Wpu+uUc43kGHyHWzwOqO4xVro46Kyzj0tS4WMEQ0DYj0zHZU3pnBA4I2/94ya9nUIm8ARckVsvDsCfPC5z3usL7edZZZVQwPC4aPFfluwvx6uLI/2UTBwrrZxyJARAsa4lwxPLJlkavgr8dkYL5QhCywrU81VgH7pnL+W+19YR9R1+2IM8X35rsRcWGGkYE/y4Baf+8kWG46MA9hyyb50QVTKnj3fMCYCn58fMQhrXgqE361foLZAtu5Jtyve8wl4f3lgMfLRALUzYq6RJTCbJ8rcE8nxf5dRRkF8ytPCtjYhGv6MAQoG6VpLrLNmWCgf3w3IOQBeW9CcKJEuKoJq9r41wHIMDHMOWJ4KIjPqwkrSqP+hwJMH5mpzHvu1XwMkDtFRUWcmZnuwS3aZ8sYoKIYHmnLnI0Scl8EZRQsnyjyLYMY/dUBdVcRP50RY0VeqYWSxozdbsXz0w7hXWJm88sV6bgizxGYI9vFPfF750/YJo8sSkV6Cij7hLAqhmdt9rAmih9N3wWMj8Crv74gPa94+MURp7fc0/uvN0H1SD8groLLZ4qbL57w9O6A6T8OCCvw/BOKq4bCfUcFZ/pPw5nzGBegPkgTtqq+V/f02WoULG8Ur/+r91Qp/vYGWAJL5VYB5oAPDweUU8L0gWJafn9kSlUgWnuzAbh8Kt0HE2C+qcCXNJT1u4k+/izQ3+yQ3674xY++wz6tSIGt1sYxY9lRQ+Sr+Q3WGvGcR5Qa8PPbD/h0esL75YDvLjc45wHfPR2Rc6Ao005bOUidgLpGeMlg2QvWtyv+2c++wl9//AQfHz6BKJDXhMfzDrXQHwmHgvS6YD0PGL+eMDwCTz8H6utCIHAJUAWWpwNt282KNBa8fvWMn/zsAV/dv8Lp//sW6RkYHmmU4qw4fZbYBs7a2x3+YkTII86fKh4/W3k+W3JLdgUSa/OPpQiC1c/ffFUxnCvOn0SsN152BKpm/z1ef3gm17MvTUWVflPIaKp8qqAhMLS7JVScChy+X2Prh6I7/gA61eY/81KrJfMLqUNujs553aLR1FqLFGBTi+hfpi3751ldf587ZwgK0WitSdAd9c3NOiX5KsMZtaHPkvp7rtC6TeDR+u1aINQRKlIHJSkFMwwJdVS0QjBrorJtIDp6PYXKLO7Ss52eFZKM7yOczRmyk1z7z9oceaxa+3OLZd29Nqytl+XFQHk2XzY/svczYyqG9FQAAcHUBsMiiMJxoqBHB0yiBdf+vZ7FBeggiYmYtPmL8cWDb26xVMSV4x6sNixEtC5Dvb0CrrLgdPCkBRWq0rK78iLQaPN8NTS+cfzG9cXcyPUfz9KVCglOVWPdsLcmatmsF1liD6hbgOsZtReZVuD68PXsVo2GCdi4aDITUEC6vSfffmCv9Oft7+l0dIXEihgr9mnFwTK4QyiItWJBQoWYUzTglEdc8sBaQVGsJVKkxDOR2sfVMy+dOixtL7b1uPmzDYq3yH/Pugrp7QG0MU571uvn+70vz9gbOOCAD1V90RXL7eVBrgu2XdlRf6yqqBbE4EVZy8u2Xb5HA2NNhJlAW1ikU5mlgzM1ScsiKtAC+kYPA64QWDGb1Fup2f/9PnwtbrJd7ecAAZ+qpKVubHa/gPBzrJa/vu6W5ePZLq8NV4UY02L7QTWnqZpojCb0bJv4NnF2Q4Aoxb3EFoj63gRA1XJt67utNVvrMHt+SAuOaeYal4qqgcquIDuhIOBcBlwyawPXElBK6IIgL9fZ1rbaHiibNXxli2RzzmzPL/+1PXfInGMRNYEcACOghspv2QSNGRFddIu/pP2kAntFZyywhu8HDn9fm9n9hH5uEhgP3aa/HIc1o/XSRfdb4uzgtNtWlrhsAZLG4rBszvfGZHO28DzYgEzl+77O9Wc5WE3AUgWhWrrda2ubOB36/b/0n36o3t7LAFys0PfphoGnL30Lr7s3P6OOPPOu2tHB7P9gPozb/PX7x8WWSUAQSTEOBSFUUherIoWCKWRUFZzKhNl0FXKNeFwnXMpAqmNh1r1/+ffnIWTtDDM/f6/mqX+ozWt44WuaD6FqdvViTItq47/xaa/8I7MVEv077NzfZNZhVGopTotmMF2LQEtoIqDbljB+Rl3tR8/evph3BxPaXll4fQEQI8W7yCwKTS/Cz4ywy7g5XvCIHcoSrs6umsioall6E34j8IqW7YTjut6b2wH05teilThW94ET6I8G+qbd7zbVXevxC7dJwj0SVgaxTVdk0xmkCeE2DRvFcVyx1tDq/FtWuwrF5oq0sfaGKG3tph6U5x3Hgq2TGPjeHsiweXgcmMgwtftSCEKm0P3zIRbEge3XPi57mMoK629Dxk2ccY4DxlAwC4WqcuYN1UG5xwJZbrAaW29FhVSRQsUQK++9ApoFy5xQq8CYv4ixYg3a7ZXHbMZQgIIgiaBlXsdU8KPdI96dD7iYWKyvTxVBmaxUxtZoXEjlTgehKKLvu0BadPO3ot+D9ASXl7V6xOoxwd/j9QcHubKfgHkBnk/Y3exwvI3IO8H8iaBmQH7DfnRssQLE3B3/vAc3fxakszSqCxRI52pUT22by2mfNQYGJUOEWq+z4LSzF4YLoCOkoVPOmJUTSGUtZi2KwSg2YSnwPnLpOSAUa78igvVuYKCp198NFXOyWNeYTlbX5DUw2WKOREn2sLKRNmm8gBfa935z6LTaXBFPvKeyH5APsaFlRPyl99gz6u95HTCEgs+HR3w6POLXyxt8u9xiLgnPZUSuAU/rhLkkfPNwg8t5hH4Ysf86bpxiNGGDdO71RcuRC5wGgxt3eN4oh0ailzUxazs+oDtv2oWrpLCIvwt0EWnTiA0tcTvO5uyngJJAcZpFEWpltjkKNCSUSTDd877LKFhupQfY5sB5FsBbHyVr8QNX5ASM+rPZRSUDRo8Kc8bwTEEa0sbdOTJH3wxeo9MFoAZBBg/cUIh0VViNIozJkN2h36zhwDVwlVFVu88Q0HrmipDpYBlcf4aX1HenhoalQEPtNYkANASOz5KvM7eq/Rq7kTTATGXzOFjmKgJ0CLuDWCY6kZKB4dn+ftq0mfGaX8skawpXQZbkgLj22kFvS+aLLUlFEoI67uyvNeKvT2/x548/ximP+LuHOwrxWEuT9WFCep9aTZFn3ePCOUgbkToVq0cTOqgBwiUi2gI636vRBTGUc+Z963xNcD8brd3rrWZK5ntbCJYt0GZEq1NtdN6ilpEJFKuzIHZ4cruJti+Brgq9PQw0BTJDI9eNhsC6v6uoU9i/OBeMH2Ycvo3I+4DT5xyH8V6A++0BxSwPDMCIS9cYgA2HBBMOGyzgNHpZsNrachgBNQXmlUr8OgSIISFeg+tzAgeFTAE6PFaEGFCnAXWfrvZPTWQuyFIRl9zPB7X1N6R2DeSKsOQ2VqQds61VXCqSCdyUvSnZ77T1PARYizu9E2hhZk0Kg6woaCJDAFqW3jNcatoAUkBnxanKU0GIFZc8IEAJ5kjBx3WPpzzhKU/45fMbrCXiu9OBtVsPe+g5QuaA4UShjvGejmc6Ga3WJ+alo2DOfMjoXQE8U517WYW6I1LYSk4ya5LJJBC2d40WYwcDHy/u/HJ9kCkREEwckroBhuob5VQq1/h0b47w5uXU3HTa1KBacFkHAYQlGnJeyG4ZUs/sA9D9DrobyEiBCSMae0mFz1N2Sg/JA94gL85mWKs4c4K1l135eHJt8bldabwm0tkjwDIdEeAwAdpFJeth4DNWB18Fy+sJGgXpUrD/zdkcW9a6xjmhmvI1BEABa88zRdD4PaGx2cjUUQxPGRoEl7cD1kO3JaJoSrRlUmZyDUzXjfPvonZhAXYfbV8buFb2AVmEGd0N4AZYZs3sea2CENjxYUoZP9494u34hKc84evlrvktT+uEv/3wBvOckJcEXQOwki4ZV8HwEGyd+3lKkaaaDKSzQHALQGjgfvZsmIO0Gruf4qB4WOVqDfl3uHiPDoqc0NplSUGr9y27gPxqQj5G1tRmYP/OKNnH0MTe8o5nZf3bCSELpg/0v7zfbVjo+3ng1cCiWqFDRDlMV0d3PgCHvxMMzwHza2ltZPI5oSyx0ZPr+wHLeY/RdB3KyP65r/YXiChOqWAOOywfB6sr7+100tnOQxNAffopA65yqKxlHnjv82vBt/90D8l73Pym4O3/eMHyOuH8CbtVLHe2p5+573fvAp7/0ytEAE9/TPu4+w7Yfx3w+IuK8U8f8by/xd3fJoyPBcdfXyC54umPDjj9KCJWNbaclUxNivOPzNeYKn79zWvUHBA+DIhrX9MQIKaKelBcPmdWsa2XIUJqwPwJUP7rJ+ymFVgTShHkrw/YPzKWeXzYU8Qpsu2eLvT5kQV/+dvPMO1W/MNPv8Gb8Yx/8tlvsL6N+PXzK/y/fvUzjGPBP/j0G7waL1g14JfnN/jV0xv85sMdlvPA+tkswOsC3GVrz87vlhN9+OVNwfIJgEvE//Pf/Snv/0CthPjtyLahtxU4ZtRzwuUjv3N5pRT6mgXTVyPqpMh7f44CRMWwyxjG3HQh7k973P6tYv8+4/6PBiyvzO5ZEide+PfySqFvyPq5+w8R6y1w+mmmj/sUIYWievmGLWc1AnUUPP48QnKnfkcLqHXDWvl9rz+crpwSdKZQT3i6YHzYIZSA9cYOD1NTdKGBdrCK034o0OMoAxQI1Y1UNXVYv5j97UhwuHbem+Oyyf5e1ZyZuM+VgmmuRI4NuQsrg4mY2YPLHR+NgrJPKLFn3cSyZE0MqNKx1LV2oR/xAE0az12rAE5rMR59o39tXt46Jszm/KUAKaHRmnu9ID+PysW+FPZvO8QZr+Mzfqlv8ZR5SHyYD1AVQ0YDLqcR9WnAeB8wfeR1ne6z7ZuanivrDnaxoWcillmyFiD+PE7NxtmoQD78hibyObWj4wLrL8o8o6u5bg8jD7zdsBOl00bn1CBIlwDRgHhm7768jwg5okajMJmD4jUHVMYE8EP9cl/UKmqpUPPyJFcTbhGrcepCQHXiA20Fha7EsKBQr3VWo0c6Gmv3IOXFSVqUzIPaa8AdsBEPfNOG2vyyztLBHafuB23Upi3l3hUdsWZ4c/n2OV/n1upnS2cOVwq8/KMCIAE5uNCNtMdsGUBHDJ1GK5tNEIQ17753zPFvVF8A4QWUV1WQNeDjcsBvn26x5ojTZUR1pdcSEE6xBdzeG9P7SVJ8S+HIsYgaumzAVlWI1WVvs7mtX6ADcebso9h+sPtt1OTWw7Wvx0Z5jYKgATivLeBifWyv1/eAOK5AEm2AFLMpYkBKr3v1PaQBXZEYIGgSY1t3bf2XCl1XhMuK4amiwb1CBzKsaMBUHbnmW51M8WvJ1cWp0EtxJjEgAKY07j2jg69FA2WYObEoq61d3xOw4N/SIUrVaJ16YAygnXAhV4Tz2tcyAAypZ3YqhYo8cJZKwEiMpURKa0WZotHfTFBlrP2eQs8cen0Z11cAmioCWoDrarYAvgdUaAQkUak4a8BSI85lRA4Fl5Iw54S5JJzWAbkEPJ8nlByBx4Hg7MqSobgA44PtQQM+XCSO1/WzTGBmmUBAY04AjXGzAXHc3jtAU02Zll9ndZzWlsfrwxsjCpbhSrB78fZhBmSoBZPGovISFx8n1npznAYTsWltkWDr0jOca4aaKObVaxx4zeT9wk3Uzc6yshfLEppTbDZtm5n0spdejmLr0ufZfIoOrFomq9Us2h/ptrGJqA0GkHttI4CyjygjRc3i/ZkU/Wlg+0QBbZy1XwoKhLlwT80rS30OI0oyUMfPmrnYPQxNpMntRmfnWHBr5WbbjJ4DkHEm9b1pioixGaKY2OK2K4Jn1MzWVstYCwPdu3TGm/SM+7zHw7rDUiNOecTDvMPz447dOqqp01vNZGs7uDLoCgufheukZyevM+w9kPfa0zroFXOn1RTbnvjBLHwFUFme5/vCgZe23gdBmSLKFFhaVRTDczYQeoBowJLNXszAMHPfpJM2oFeTWPmctZSbqCjPxVGBMaGOEbVsQMikGB8UN79ZoTLg8qn9Yg3QopCVGcvxIWB6h9a3F2B2b5dWZLPP65JQ9gmYWXsZMrD7oNh9KFhuAi5veU6vdxV1b2rRgsZYxAAsr7mn736lGH/9EaKvSI8fhO2abOxZi6mYvgvIN4rlRytQBMevBhy/KXj8heCPPvmAf/80oUwj6kmQPp4hz2ekH+3JJAsdsGkZ4H1BmAp0iaiPA2QNTWy2WkcYAJBQEUWgN5lzq9zQ+RxQdoL1VvE/+/E3eDs946vn13icJ3z9YUf/fAH0HFESg0MEhWqgmaiC9ZFir/mTiClk/Gg44VU64f18YL/YXcHhxys+HZ/wm8srPKw7fDztMT9MkFPE+IE2K78G0q5HevkyINyTap7fFFKAPw4Yv43Ie6B+ttBPfk5IJ9rLcgCQBemRD152ihKA8b1gfGQJUpms3GWsCNZ+KkYmF5YascwJn77P7I/9s4Sy67XpjREqwHLDc3O8Fxy+qThrwEkABEW8RKr0H+1MlYDqei4R3b8E5zS9wOZ/3+sPpyuLsOfixMgozqzBoNMlTSIe8v2DKmQ70CIbMDsqRmcPCNmVNmH1Q/kaSROxnovanBq1jJLMhU6LO+X+qmiBgQ+bIrZAs6bANPlamNGy+kONgnjJCGvoYiWbl9cUefsLwJycgkZJDisgS2AG57wRHAp8/joA0z2bsLfsRbTaTHvWOnVJf6eDdBo26z8+3B/xfBnxf5F/hJthxjenWzxcJqgKirLX2/l5osLtU0Q6B8Qz58zr+ljDAxPYsuEudCqa4AhgdWr2+4pGoWEP0O5MuciIP3OxGiKnQjoyHuDZHlwdEt8fb2nBljsW8VKZDRWxXoQ27lCEM66ov0TTr7+TTpzS4V0qpHZ1ZTGHV+33YVXEUDGcgtWMbubZREiunNaGgwhBlcEG0f6q1ion5Ao516vgT0oBSkFTPsbGiW8DoszAecbLhXJ87WerX18ZOImxGTgY9p0GHLT5Wi2jG6QHyrlclRCEXBEWRUza6iRC5oHfae8b0SBgQ/cLQCHI1OZ0ExypeDCqlhllBiSHhBOAX41vsB9WPK0Txpjx7nLE8zLitAw4Pe+I4C48xMNzRFqE9XNPvu7ciWbvwp5tMBppoGhIlb523NH3gC7AnTY+Y5hJH/JAJW7U48V6ysIyn2Hp1C4XMOI4M+tC4RmuaSkF8ZxJFVxCp2RejRfnLSgRbDE1zsZksN8jBkjsjtCVYN+6AmGEjCOdbwvuxgex/WTOmzAoEkP1HczJ+46Ih1UxnNTsAgGsqL1vpDg12daFl4BIk5pBz7quhWvRbCJUgRjhYlEArGbXDRO/NFrNqaylow2bIJ/jUhnMbpkbXgfqvZvNxoasXD+Vc1fG2Gj00ZR+nTJ+5RBbYIsKakUsgBRmBRjUCGmNZvskC+pK1fmz0ZDfXY4oNeD+vMO8kLZWLpahXKgHkB5D03lIp+6k1wgkNYApb7KfbtsTKZPi9Eb0dR5s6Bq9P4N9ph0sHIwRc0LL6DDTGxqweF3mYmrOi9J+5Mosm/i4i523apoOeg2aCFAjbVCcaYurCpD6HpAAntuj8flzgZRNEVcuCCfa93QcEJfYQJvGzrhwz4YcGi3a+5p7KaYL2uSd9S8Vaf5KXAw4m2lD8z5egXTO1PLSET5b4P7MlR3v1Bg+9u8YhR0eDlP7mda+n9wmaOhCmVL5vNC+37YUZQAYnokg+RmYa+jAhqAHcNqBBJgNpTotmSZe3wygM3aKiRyuivGRAShtiVBleBhQJnZ4yCXg//3+55hSxm8e7/B4mijWkwoWazMoiyA9c5178BKy7T3HBROgFYgF7Dtvz+yAc2OPWR/wK+qvAxq21sVBSw92K4x5mBrlWgOgELjmDPVdLOA2R3+rbcJ9YvoxmZtregBLXHyvuE8aGVSmcwXUWCK+N6tSofvCDgUxCrT2wCesgvmNIO8HlB3PvnwEytuCOFbUnQBVsFQGfFtG3fJhj784D6jPA+Iz+xA7ELDe+Ppl5nI9CuY3lmmbGTTmPYVQwyLYvaddOE98z/PnEZLfYrmLrNMehS1vAjso5J1YvTLZSsPDCKkE7KQym/vnf/5TjB8iygjMryPK7g2kvsb5bYQmYLmVxiqsY6XtfUzAfUL0LL2Psalne7JtfTbn0ISpho8R8cxA+PIp20b+u19+wbZ4S2SG9Mnq+ZXdDupYkV4vGMaM8+MElAQdKobbBSFW/PWHT/DL+9cYU0EMFe8fj7b+DPxVwcdlj+9ORzw+7RHvTRH7wN+HS8D6YYf0GDE8UqQv7wlIIQv0HJFO9O1VFGWmPV4+LVgqoMeCYZeRo2IVi71m+lzrq4rlNaATgQGJFWksTRAt54inecQ3cotaA55/lLAeqagNoR7LeE+m4nrkmh/uBYPR2RerrR3f0e76PosXgRT+LN/wcHJxsPQsTVRsuQPKC3bP73r9FwlyMSQGAKBqIYPcCA2K1QURCprxc0TUEUEXLeHM2qEajXoy08mSxUQ6lA4gVYwDdAzMCFTLRsHR8wVynqHTCB0tZedOTlF4LzER6dGI1/5JoFDJZQWGhHIcgSCIJ4pDMOilc9XO7UhnKF4yg2OQolJGtkOCqcHFmcGj89c1WKB4A2SlyEB6zk30hMhsRBCqzpWJ38m6RzvMNs4D5oh8icgy4t8/7ogiLYEF3qkiTAV1iRi+HYiA2sE9WIaGwXiv/XOUm+iateQQWC21AB6sKqi04Ae/1yulTkfuXg6aTH+c0QSmQr5OKr18tec0R4ZBpdUsKUVnoirW2wHlEJtz7yi9U8VcyKwmZuuYEWXw6hlTXVbodhfF2AGWXKzHomC0Q2jRAEwOyNicer9JHw/wDKwQlIHWlXvAKD0HGqTxnM0Bry2LK97yZVtr668gncYMACkyMzMOzPDWagFrgVwWdLqzMFDw9zgl2UUU1gydZ4JYe7YoaP1VPcOVK4GtSJAkJBN0irBWXD0gbKCOAE0xfIM8aNhc297nc5dM9n+IAtGInAXv4xExVnzc7xBF8XyasF4SKWyX0DLsUgTjR/Z/DKv22hFzWIZzRXRgwbINrlydD2G7bPk5G/6WtTTHPtaNkxXpeMeVjnoLcpMt5GBtGAwQ8ayfZ3Y8k0khE7bDieaUawgNJGhtnNIm8E09gGc2CI0GKUGhMULGgQ9RCq6ApHkF9hN0SsweW1/Z3UdFTYo88fuLI94ZGGw88x7Qqe/VdBI6tbYfmir6vEl3lc3w+ppXuV7fzi5Ys4GWsZ07jQlhQWkHqgCppKtKLnZmhL5fqvY9oxvKfOslGppYoSvQum0cH+jY58VatyW3ZQzMaM829+/2ysps4ilTabUopETrl8mDPZiCcchAWQV5jTitA1QFHx4PyGtEPaUGlo5nG1OjTKazZVdnin1B0Pq0O/DAwIQlOHUMFtR1Zo7PyMt1vv279egMQDU2g2eYvP6t9Rh1hdHN/gmL9Sn2PrGFQI7GCJ2iUWK17wcnqWx1E+BBIs9sGgyztzDgcBwgZvdk4/yjVsjTGVhXpFd7xGVo/Ynd6UoLnyWeuca8Lq+Brxbg1GrtcAodPDF75Wy0uFbUGJBvCbzGmW2OvEd00z8ACKqA6ydceCD6WgoXrmudIspxaDZBvDdwYC0zz1uheJfCzpENyGP2AOggx/CUMTybT2HZ7ZAjt0gAM1KKqyBXQ8+cuviV6210oa1N/WVWTPcFaQwEKwuF6dYUUbPgEhQzBjw+75jd/TAiPQWse8X5lmrY4cS+sbvvBOODYr0RLK88k6utfrUm7gPvSw8bF7dfrjrumVw+j98oGjvDxTXdCa+WWAjPMOAPmF/DNCfUyVrwbOT4VBtI0bP3sL7DAgkGilTFbimYPnJMlpvQA+8IjM8V40PBeoy4vAmAMuEQV64BfT5BMsHBsAHn4wwGZROQnoDpA+c+TQU3x0t73z2OWMrAa1oJxvAuISwJ0wfB9EExvxE8/kmBjgrZs1XNfNpj+hiw3gjmtwzCp/ehsX3yxP2z/64i7wTnz4A6Ks6fB5TdcNWTOC78zHpHZsj+a8HNNwTCHKxUU/2++XXF9J6gUZmA9RCw3nawWCqp2svb0sAJVMHwwGCpa3wwe0mwzsvlBPJoZRSBjMPDrwX7dxUPfxxw+tMFcomY/mJPn9VVmyvXgSgQTyxX2X8547ObZ/xqfYP1HCFTwSevnrHkiA+/vYNc3LAJ95ipuvvrw2WP9/dH1I8jdh8Cg/fXFGiKp4D0GHH8NfDqb1ac30a8/5/T5nq7QO/rCwjWOUCniunzE/bT0pJedQoo+xXrkqBfkya/fr7i+Prc7kNEm/rzuibkHHBW9mSvWfD8heAys7e7BmB4BG6/KhR1NZHB8Z5nRBkpUgoAu29pW1crFYhnjt16qwhvV4oVA1TtXycMTzxzy62izr8nWNi8/vAg94W6cTt8qiNZgFphuaNjwZBd3cQNTaUSaIai0XW3rR88O9XoSPXaSdvehzk1RPEDDxSrxQUAb/dD9NWcqxig8HrBikYRrS8cL385bdToyioAhkhaINARt2IiGisQZqrCAR789SAgri9Qa7sGRUxg7Y2AuBpiYk5OqQFlK8Igygy1KCQHZjtLRC0CWS1za5QebLKP7fAOPpfanLT+3WjG+ntiIC9ePpeexXeU0rO3XqfF4G2DN+jmgNGO8jfxjk2P49Zqp9buyDnt1GXJcX2vRJXRM0oA10syKhTQ18nm5TT3UEipUMt+sxZR2roFTHHbnUO7fh0scbaijV8TorCD1C6ERr8Xaf9HLtc31OrMNw/o9ecAtsJRbZw9wNxQs3t/XFJyW/26hOv3GTWce0vaZyXTuY9iYmpNHMyc4sX2QNnMqe2Zlp3OzNSp+POD5QPBmoCbUxIWICSyFjQGnJTzlZ8HyIVOUGgCFIBUQ/kXtR5/2vYlM++b+tUf2uO2hPw3vobF6JjbmvO2fjMQjTLcrmNEFNmYLKdlhi0IYNdsdeGN72zj5K0iRDoq5PVmRds6eLm+mH2xteJj//JRneViVHivhaezuBFYQ79O66OqgKtiN6aHCwt6BsxBM1+uIldten/nKwR4q6BGpVe1eZHvj9Ema9uAE/+ZZes7K8LGOUbu/23JAjYBQTVKqznSkoFgtane0ilYrTfbN/WzqwkaNuEgq5U0hetiQyp2TsQLe4sWAO8GKgTnObF102xKoBnwvshx4XO1LLKNtzNyOmjZn9ufCTCWjXbF2bbgN7Z7+2rUZfX75v7WQOaDf77bM1zZgyvRH7dzFRCp0Go2p/JzAttnCo6ZmLJsEAaFfgYAPVtmoE6/4ZdnKrP0/iIArygLA8StTxFg+3Tj5vh+D6sJHMbNWW9AhQfgfax9frsmgaZgjB3adc/E+pr53r1vCBgMskO3mbZ+4kJ77HOtKTDrGAO7E9hnm4BVK6ciW6m3RnJAXqAhtnkPRleNC3q21+ZTXhxPPidI7HeeD8F6Bvtn+pvqwkHUHIDKbCAUFHd8JGMhzl6qZHNQN3tuUyIkMLbApn+5P/dLn6WxdKoZrhVWutbLjvw5nXjiexyW1W11v7F3heA6pc2UjI0tlXbetJIruw//HEFdAvFOlS9juBI6o+igQMeEMAyk4O8GdjxpD8dSIcDqpA3wyueER+1dB3QJfWx8X9s95T3PkDIB8RxQs6JKhNcte92+B49s4ch5Sh9JQ10PLBlzW6kWnEplYEMWkO2zLIgWVsx31K2YTEjKmZ0xOqDGOmayMEF9CLtxTQwEW7lF7dduQe5mT9d9BXasW0Wm2Fx8pp3VZNnHCLajXKS15yNg0pk8ZQDg9aMmLhVTxTrSdj2cduyxnMXYXcrsh/LZ6xzx9fkWpzzg2w+3yO93iE/WlkfAksdAXyY9c8Lm1xH5YMy3ebNutdeax0tALYJL2GEeB4SkCLGw40QOfO5DRd1xPNjyqGIYM4W+QGbIckmocwSOK272M5bRFNpXs4FFUCfg/Db2ntO+/Wy9lB337fBEgIFMVhsDE24tjwM33MD1nMwexAvtQJn/M8GHvf5w4al5AYTCIc3YAs0p2n0oCKtiuQ2YX7Ge1CXRAVugnukTXDmFLu8ez5XOrjAoLfuEmgTDw4r4PBP9HcLVfWkIFBVRRThdmGVdLKPrgUIIzPIq615daAQpkN5pCozB37utn/SXB9IzU/p1Sqy1Gv3U7dkdBraC8QHYveeCd+W/4VTb4VQmC2iN9kwxGr4vnQop09VQq8K2DestW+e4kfGstN9Dp84ZEvoOpuq3GW/zJYr1wgsWSNYo7XBtiHpDJNENo6+JbbBsiGo60Zi72p9ebL5tnqvR5QA7PDNa43aiZaRhDs+FQmBOxxV0QGHT9zKs3dBrFKy3iUIq5uCPT4rx40oU6SbB66DCfmoBgJatR4ErJzucMyQFUius1tB7xrqyHdUG7TDMNOK+uYM5pU5zlaymEEgHXtQCmWrrfkiQZYUuRGnFhaeCOeXeSsXpnACD29WywJaldSe+Kzxqa0fU3uMBrAgkRT63O6S5cLonZonZrqsgAdh9JMsgXfj8nlHwPR9a0Lf5eztnUlj7bEwJ70dcs2J6YGsr82B5OIRE21EHoAK7p0AkcAHiWds6Beg0ODMknTzQ4D2wvYwF+C7Q4qJxBta1gNHoiV5uIZWiIGLBqn9vdFCnBYBiTAK07L7vDwYi7pDBMiSl15C6irYH0CV3cEAjJAQKxRYadLZEI+ujb0qutZaFNyYLXgQ9KAVYrW3PkkmFKyaYZvV1nonQqK09hwsReYDkQMByw+zO+NgziPG0wMWlrrL59nx0SmMHGgFmbYfEjO6yoqkgi0AQrYbalMO3TIdknoyxIRr4sw0camUt7j6i7phWCEtuNcOt1GKhR5OsjysE1rZEWyAZF1LF48XaQa38G6pNAEiW3Nd8rQCGZqPZdozZg/Qs0JRQvk6oSRF2AAKpYPEibW2GFZjec/20fonV15Fiuq9GG0XLCtYh8F6KBTklcutnOmbFGFF04vnZskOrIQZwBUQ6Ndf7kFblY12dC8WCpsUDMPRA17L46pRZL5MA2pkra0U8U7JXX03U+RiN0bVZRmXojuxW0VY3Hq1OCYqx7a/p/Yo6BcusowcT9j0uMtd8FVhQZdle7yU8LXaWnzvDpUZm5UitFqRTobAcgDoloCrtlWeujaGEXNHKOoIwW90CMu7jcuN9+BjgpkuBzpYZN+G6uhuA3YB8M6LsQ5uTkBXpaYUsmcFyCNBE6rAGZkq5HpnhbpjWCuze0cn2EqeYXwS4HjBJZ02tx4DT56FlgFtHp0DHGM8WyC4m9lP5u/QsGH4rPZNqdrmMZlseYOCBrTEDlqKxBTSxvVQLbswmvyyHYtBiYJUFsN0Xdf+FZQVhUQwn2Lx2cIJlKNrUYOc7rufhuTZQYHyqTQPCwa+r+1gE8Vzot9xEeB/6eeq96AFgjfQd1rsR4e4Guh+Rbyfkl/WLD8BY2XpnfssLjb8ZuEFt30hCE9ETE2FSAXQAzm8K9JghjwmHX5Ml5jRg9q7l+XX8FWvZn/6oou4K9r9KOHyjWA/A85ccG4LM3DPrLTC9B46/LViPAfMb1uVO78loXG+Bh19w/utvItJZsXufkZ4z4hyRrH1hGbkvyl7ZrmZS6FAR7xOOf2eJJQO251ce9GnTnnHfeHp7xh9/+h738w73z3uc73eYfhURL7yXy1sAUIzvo9WZcy3mHfUZ0kkwvVcsrwTzZ6T5DomK+Dd7sgKXS8Llt0egiIlVCnRU9kaeA+JTgC6C//TrzyBBMf7FHre/VWuNCZZuHDKJTA8JN39Xcfkk4MM/MN/5QuGu8ZHPfHkLXD6j3Rk/GPNxDRAdcPlUsb6uQDZQdVIc/ugBN7sZv/27N5CvdlhvC/CGg+TBcPh2xO4x4PJz4E9+9hV+Gd7gw3hAXRhkx0x2w+nHFvRmAjsA2jkyv2YbycO3FTUB5x9HZm99D8/A7m8SamRmX6OVCFRS1g/fVpQtI+z3vP7wTK5n2fxl2QWX9adjowh7MxRmhIjkSctqiGdCHLz0v90R/oGsQ0N/gzYb0YK5KORReT/RUk2ZtaOjV0ivZ7E09gxHq93iqLy4cwABAABJREFUaS+Bze5dhODqXuyABuikNUEbsT6VhkjGiIbk8s12u0tX3yT9dKMoagJTjQaEimjF2J5BLAsQBg9CaVCcfiN2zz4+Tu2JTqvbou0i3wta/XOeYevIJxpy2oJauXYOmpCAvcfrdreZhi0C7vS4rSDP1f2V7phpDEz4eZaz+hxaSxG1uXPhIH+OID2gUXeqN/PtYMa2iHf78sxnrqQbRYGuQEWwpPImi+gwrc/DyzW+GQPPtLQ6xB/oT/v3evn63WZoN9/xPabANiho2UL9/u9ffpd/ZVU6oAu9EqemqyGcwepqgzvZipZBgAUrV71Nq2LbT5uZTkVcSf+tC787LFyrDaWdO/29qbHaYDtY4kGHG9/WSsbH3a7t1N+rYQqb9c1HfLHWPWOgjdrZEp7qzhKuMvut9mtD6/tdr+9lmav9AZXoXSCJN3v91iacszXWP1QbsM3cV9pNioBZWxdryC6eZA5oWXtfx02gZ2MTWpZb0ffXpi5QtqyFrW31wNeBrG2v20Z5tz0fNgHuD2Xkt597+X9nPziYsP0OARQsi/AMWzDxu+DCaj9Q4tH6Evs+3M6xMzVaS43+eYj1eIRAbW3XyIVCsTsx223rfnGFeNqaAg+AXUxJW895kwdvokaNJmvPCWxsM77/t7+24kNt7jdnga9phJ4d9vOrnyV2Vm6YKq3GVEz/QGHMGrONVt/p/xYHjLbP4H9e2rnt/cfIoNHmOBSFZm3z6OdEjWCpkWc7N+u6aUcAQOzj5n9+cFyrsYAq50pjoHmIwjSNj2dVSCn8WQjQqg3M9fVzdTz5GnP6v6Lt3cZ8237c7ewPfF9bi+aExxlNR6FGC1BNbK89q8/3D4110w/YXM4/U4R7erOGPDvuLxeVAkDgZGPze3smH39t4E/rVrG9LbfJL+bm+obR7Y7dc8vavTi72zgVbeeDAz8AWplAG3No8w0Bt8n2e7cFZgO1sFsGBCjRdFiMpcCb4hfXJECibgwCLOvm32lTv0liiFpGfAPe5r0C42ZOfI0LWEe6X7HOEV6OFc+CMJhtSnI9D3b2uZBb8HIJ+JoCvP1PA+qy2lqw+V4UKxh4lULQnAKUQmFCuzcH2qr707YvkZ01aRn9DXMwrOaj+d5f+/2lUJl9NQZgY+4EtBZHLI/oY+drxn1YMb0CFMFlTTilEaWyHEQrxdJoK+0BtmvSk0iXCAVBz3QGVBR1MnZDDo2hWBMTheutlXU92Xe7DRd7ttzXIMEWbWrhW7ZCKQGlepaZa0GVf8ocmeEufb8uJaHqNatTLfbQqHBWZD/jzVcaOmOV4JUCycanbPyVzV5xv84D4e/p0vyO13+ZmlzPDplAk1Rg924F2yHwEAqrYnziDY5PRNRXKzhn5k67k7ExIJKZKQomBCUiiEEQIpFobwEgG8ceQFdOnO0gCwEaTfjBP1MU8nhBo26KAEu2DBmgh921haxdrMoFitq/raYozNIciWjp9Ak09HEZsdyw6ToD/WvDD5FOcRKg7DbPZoejWIYyngEdAmoakUEFyq3zpoEiMBrYFiFetC3CsACH7wopveac14EoodSKaOisL8K4VIS5oo5dNXs4mSBODYCEVoNaJkE+KsrRYFh7xtY7ze4her2MDW+j/wha3Yu3dWmbdUOxZWCVO9INsM6tMptep8hajudM9bhzgZSAsrdG93uBxhEarA5LgOk7sGbV5gtboZJSoLBa2VxIgQ/Bsvw0FqEoUUWb1HhhawQP9ofKxugha8vYpEtFvLBNVWtfZarF8nxmhmkcehZ5v+v7ztYk1mzqyka7Xx0tkO7ovczgej2iUzU9gxukr+ucobkAugIXm6iU7BDeoU4DA9DTQiEjEWspFKmYbmtLitWn1c0a9Ex7CNAd6/m39FGnpBZrpcHMGE/ldOacheKBT3c2SBH1jBoRdFc+BphNiZfcjC7H0GxGDMDAViZlCr2eWpg1YJsHkIIbgXXoc6vR22LwIBoeex24B9QwemurZ7NSgbj6fFr2zwIdHWITYmINqa3HGChOo8rMa0FTyOb8BmO+0HkuozSHwG2VugDZVoAKgOxGYJxY9xoD95SCNtdb3mzqInMOKKNa31ja763T6wd/ulhWJQjyzQhn5ZAJkBsY06jBW6AHFpSkQAemFCBGiu8EIDxeyCiaRtZgOitBNywF3zMhQPeE8L1Vlk4jsGcxccuer33vV2vxwx6SiuGpWLAZrgMs7VlKUY69Vhj9H0atBQIGBnAWBIe1Ip2KObHCabbMv2fNIWwtouIMF7RgMqyKwbJD6Wysl4V1nwDavvO58z90RLtSqzN4+Bmej24fG6AjZuf3dEjlXhFbBt7upxA8jItArcehRqEIz8o1WPZkS6Qg0FmQTAUYAMKy0hYdpsbQamvX1kZ6mJFEUPYDyp61ruvBPcR+/27jqO7bI6dySAgyorUryoqICjxynbgTvR4Dlhva+d4ZAJ1aak52etYW2OSJZz9bRcFqXBXJ1HRp35S/TwKFQMPYbH9aCsLzDHk8MXg57ps/g8A2QPSzFHLOtC9L5noy7QWMA8rdjmf7xA4DomisuDCbbsgUgUNCNTpxyIrpw4oaA+KB45pM7GU90Gfz4EijAJ6NtDNaMhAvnXoNsbrbA1l8d78s0ABcXlNZfHwA0vlFxkD730wOwECfzpChyBQDKwd36gYE8P60W0AeUAwmQLkeBPkoBtJZXJu40DQJsIcF9QwGpg8EnlyJGVYi0YD+rvnY6tMBQBd+//DEjg91CE0FvA5cZFq4toenjPg0w0vyNAgGY5jpLVWZYWCDGkAEszMAz4D4sEBLr8mdPiry58B6w3MnXaiZwVItPosrUDftnDO/L++tRdqgGMeCdaykGF+A/bfcy+utYLnjeHjQevzKuoAs1p2gKIbHHtDA5jRY9n09MOF09ze2v63sTF4bC2ACLm+Z+awxYTiZSFwUpFlx/G1mHfOrBAhFqfbfVgu0LEAdOGb77yrShczSy1uOXzpx/dzvj/j31n9WAIr51Y09qWxvg7sMzYLwlEjJfg4YH9g2irYY2P+G9u10eoWn3R10KuzHO0cEAxFcXTxcBHJKKMeK+uUFmgPC+6G1F3S2QHinvMY8oE7A6YuKpz+pwL5gPKxYnkbE8witwPzWzp+gZARFYH5bIUUwvad9yjuFHgo0s35fsqD8h1s85DsMo/ba9UoK9fTrAWFh7fXlpxkQ4N/87U+gc8QA1jY7o2V4Euzecb3WAfCyAimkspebgmUVnD9l7JBvFThmaB7IDjgolp+s9I8+JsSLYP+d4ubvMua7iKcvI/L69wtf//AgdxsgGlooVZuhyzcDSuRiiXPPpng9BcwBJIVBTYBFW9RP4ZlKA241e2GtVMxTEN30bMz25bUtsXbnPQCNdgxACsVM1AR4mEEVtPoYc6qIqGo/ZL2OzBF/2MYUYcshOyRJubFsiAjSkYdJdDpLZBb25av1Nt0IXQiAbY9J1AqtsbVvERtX34x144zHWTE8A55ViYsiPRcKYnjrBnUBEguI1Q9h+9lar5Bxpx7WSchyNUpXNdqLjpViSgNYZ5C6MmszdHlzCJmzBpjycvJMhB0WQdD6FQINVMCWmrNxZumYCtdFsOxLUXgZpboAlQUw/jkP8Egv7U4RswoWGLasvwWJGiCBQX0wBMsP3yYCUoHW+N0yNkT9tK3xsBQG0cWc7HmB5kxqsu0vTS+CEnfit5nYdYWW2qnGsX9+80A9wLWgob3PAmCtFahc+5pzy7ioBbRwJydXGrG1NMdc1PaZ0OkPq6L3fOzBH+nmBKzE9lNzTi27pgIDf6SpVUI7dfKqB6OtK9I4uc5JAadtCkvtYi8+5/a32jrzNhx+bXfwXUjNqYxe3+Tib8GQ9pCZeWhZDs/w2PJxUQ7ep16BP2LBt9exiZamHt7AB58nbBx5Gy+Of88melnI977f5/zlK5qwk4EiUisDNdMsCBo2LBNlV6k1cOxHRYW04LY9u+2FYPejg6+Nfk/Nfvv+fpmRdRDG7Xnc0p0Z1EosLFGxNc3MltnuDZXfFcdl7QCQJlPNXzuQ5WNMujK4uNxO2ZrzXsiuPO1aAX2Dot+/rSUq+CsElZRoNRbPQMeQmgt2XcH3svMOEHY7auKM5uwHob2OJ7a+a72Cg4FJ0rMvaoBqU+tX9Pu36zW1ZNtjVKXlNHQZ7O28SQM33PFVy3h7RrkmASKs9MbWk9te64ogU2rne+ueYBmYcCGQ17OE0X7fzxdsAuN2b/7PIZB5tWW9ZCAqwaH27KO0fbtlFW1PbW9z5L9zUcRm+23epdRGXW/34fYnAaqCtBiYP6/Q8xkyDMA02jYWqHN4zX/ygFmWzD2wrMC8AIc94EGui0ktFaFUlkKcViARRPS+vQSdCktxYrD+zdbfUwAVBqZNpM3mvo03aFu83rjAgvhAgDBkYLznmlxuAspkmbZLn9uWPdyCCOWaCs1MZFevlky/IO9DY5vBzh68sDMOeObdxrbb7zVasJy6LaqJzr4+SMtmu7CVpN6q7ar2urE4fJIJ6sparb47tnpSDUCAOyU2j6EnZihwCSYTti/hfbT2VeJ13BlhA87HRZEDA0VUtNZ5cfYxFfPB0bKwrSXk3tZtUIRQTbSQtzqclP17D7EpkmtShFkwfEtV/SbypcasajbCQE9rg1lGZl2nh8J+qJP7i7xWTYqy59kbj4ItS5AAU0ZYAuKcUBbB7l3F7d+ckY8J58+4vtUUtNNFsXu3QnRANur++MSJGh4D5sMIpAoxNeaWgaxG4R4Vh9sL1jVirUIBwI/MtsZZm8Du8KTmQwSUnWK9FSZJsvR1IWYXre1QOQKH44z5MkCXEem5ZzVDAcKsqKv5rHvg8kXB8bMTxpQxpoJ3JQBCADcfCFCEmQFtiexbLEVQH9lLVweFDASe1UrASBVXXD4VLK8qVGwdZ6GC8wxcPlcMtzPW8wB8HBoV2duCaQLknuUODo4B6B0HAoCxok5KYDIAdSwIqZIkUwR1qLj95Bk5R8xPN3AwYvywIO93WG+A/D9Vn1x4n0IAMq+Iz6ynI+rohw4zOfGCboyCYDgrogsPKSc9nfnv4dwdBjqoATVyAlsmYZNBlbW0DCrfEyFR7OdcsDwoas9iiUCtBqsFq4sh+d531BV3gStREg80r1RtxVPzCgyRjdoTwL4MRDgnN36qLPQ26xisYXpYCuIl87OSmJ1zEQnQQeKsRSAKwqwYS4VUqskCZsy9TiihUce9HUsoYAC7yciEtZp4iRt4aWgZdkAdBnNYlKzhnaAOCcsxYD3y/8srC3CjAsXoqiMMyQcA6YG4dgcoWBY/Tx1Z9cxvdxLpPJQhAIeE+LxCLuaI2oFQR8/2KMYPxlf1IF74bHGpgARs66y8xqWNh9W3bmtyJQaIpPb7Rq/LjGQk9oBOConr6aI9ONo4BMw69pocAEaZFgiCBZ0B2E2QnLqD7s430Otufe3lFy2GXE3WygfAJspXQED724NW2ewrp+465XAaAQn83hiBNSM8z13UKgSEM52pBNKHvJxgq+bZBJK8BlZh32HObQW8TyoAU4G1+/Q5E6K600fPVKE55x0Y684Ws4t67fSGwCyGCLyH41WWywJbD8DKSBVPNYehRkU5sJWA09CdHoVFUHaGol4E0cEdc7CiORHb+3aqOlF+jnPrl1z1au7VVIWlFNqmEFivGgUyF0TrNVtHrldm1iwTbVkCGb0Z9sbL87W+0mHWcSDrpYIgQxBotczX5v3jE+tq1kOADJ2e3p5tQy0iTWrjEfqzqYEluRgg+cKps/pCFNpmtYAeCuhhItshFyrq2+dVPBNstt7BlG0tTwxdvXyzN7z1TFgLhqd8FZg4nTA8W5bZet5uX7wH4cfC5mcOBnm/a7MjBLgUcbQWdhoaWOkgXCsBcqpofREAWEAcrM6vtZOxPqqNHadoQITfQxkpLOMgZD4ILm+709JounD7JcBqzr45dmGT7fZAkWBQr5GtloF0lgNb7ilZSXcHrhPvVVwUWPtctZZO6La6TgllsuyYSANLGQhxPTTbtllTYakIYgBeCk2EqrcilPYMWzbCdqtsASwPmNzP8Ayus1kQgPWWisjpOSOeV8RMbYdt3S1UjbUQgZSugKhyGFCn2BxvDgDa+YeB61Zvj7QFRRFqadoe7b6t1tefV4K0uQ1FGQBb1l6HgPWQUCdmzfCxNgqhVAY67L1soLoBzABVWx1MGZ5pE/I+AuKMh824wZ5D0LJBTs3l+uL7W1nAqlegucLixI0gZo0B2YIbro++hvOBgULemVptUqhl1tqrAmEOUKsjdLDL6+9h81yN5rulKfOXzkRT1JEMobBWpHO24I7nc2PvKVonkK1a/vae0kUxPTBDenm9YZJECtXpEFE2itKnHwWUVwx60jNrXb2tJWIHE+IK6Mky9rf8fDoL5FGA9xNWmTAJA1kCHR4o03EnkMlkS01kMwxn+v3rUXB584LSunA8lxv6jXEBu4isfhZynIcH1pE6aNx0AcyelZ0gH8huk0oF3+GsBrh7b0s0wOnyOmA9TCaIZHW1Bl6mM1A+0oesoyKdu58olcw8mQPW1XoRK9q57+V/rktQh8B1YeM7vQ+Q70bUQZH3fJb0xIeoI/vDogJP3x0hp4hXvxQMz9qec7ljHTTtijEMThHPvz3iOQBIlTTmG9q+suearjsmoXRUhJsVUOA8DFSM/vIJf/b2O/zq4RXe//o1NCqefs79HS7M6NchIKaKOlbWMFucpjW0BFNYBPvfUohrfiMoe85f8e4idn6sN7wXVCC+5/n6/HOCOMNDhHxgmyaWmkU8plsu7cI9dv+nAc8/OSKsVG+O/5OpK5cKKJ0AuUSEyI2WX02NrsLNXhGWijIFLDcMmEhfsoyfSX/HReHotNfiagxA7Em761qnSnrnyfuC2DU3QWpzKDwAmFdSMW8OpK6ptj6MzcGbBmYFygvn0uu+XIV0Q2vza0gO0BCMriRGSyHiNDws0CFa6waxjBcaEh8vDB5kTFB/jwUEzE4Hc1T5nXGpwAw7jPnsTUhgBtWUrZ4kZMVw6o5ZDabyV4E0V8TnlRTRfWoGSaMgD52K4vNTRtIM1iNpP/kAzJ9UNmMEyOUPdJJkQKPHucPg4KU7JTWhiaakM5p4RKtL9jjV+8mecwMfRI2+cjuhTAHj/YJwf4KOA8rdBG9DATC4ilpRRzGBEs/MSVuvpK0mdGUMABLodEjg2vIfmwMhifPSsjkKZsEEqJOYc2fOZUGvC/VA3gI5D+gkBAsy0hW1WOeFQecw9AAfIJ36/8/ev/RqsmzbYdiYEZGZ32OtVa+9z+OeB+8VSUOiQQgWRKhhw5YIwv/CPcPuyHDHDbuhhmDAhP+Ae+64Y8A999wwYBMwRIECDROUpUte8z7O6+5z9q5dVWut75GZETHdGHNGxrdqn6sLHYKtk0Dt2rXW92VGxnPOOcYcc2GKQMtx653WTGdUvc/GYftMX7bHP18riFxXQBJkmjpjUbaSLgB6NodEsh+Ci7dZWZC6T40qzflh79Q5t2I0a90NzSB1Wp07DbInJSmsarUdNwe6z/dtkXTfB9uYcC1pCkwHCLaprpXryx0DExERM1rrQFl7tWhlTYDeZ4ShoOYA5IC6ChIiEBRl5j2cPu1j7XljzXG3druzolFQLSXjs6BDhy4iAFi4/+iQaPyLUDBJKTbT0Fs7yF04T4cIGbqtv27zGQCfY4GW1rcrDWMJ4dbQr8oyWhY0yxAr+9aNRd2MPyld2RTfj3Nt7ydr5vpjQnsLWorRsonuG5JlLI1ysBJvn66Q5zMkRejudr72JYQoltidEXltNabVf5ZMzGotiEVb4MXZCWRlMK1Ah4gwUoDO96feOHKEivmndq6tXBcNqVwyQg6IYwCqraGVVE/fO31PvAnmLHrjZLW6s7LN44YmtvXdGeMCNKG8nbTfL/fA9fuZ+3nsjH8FMAcMnyhA41Run2cCO7Nt3GqUTYTO/jhLpgnvlMr1eDe1+rCtssHKXGvPR63msPNGoIM7bhTQzdlQhOsKvVwhwwDdT1DZ5nlYC0S472i0fGxFK0enMbZ3aCkHxRfUNpeJUm+sEs9V7h0rd9aqIUdxrk3YMlxnzunDbqMkp8BUgS6YqiIou4R8jAgLqa+NTWT7GUCnv+4TUcM5c19xWr7tE2y8tPMqlIpaSZuWtSKcLm3t6BBRpogigWWpznXrAwVTbUpF3kXA3rcO3dhEHqPD2VIV9ma3zKzVzNqk1vdOj9/JVoKvswtDBoZTgedlN0BDrEGyrbs+jaSlQPVb3IFBnXxQ1FcZMlBFNlrJEhHFfBmgeWTJNAvUOGLX66U0X8oDqT4/qtlnVZHvIsoYMH5SREOz3fyWVjecewlErA83Z87vma6K/dcLyhCw7sdtzQqDmuWQsJbNbrl8T4FXFToo4iViOLHvPJ2o6Vks9JPKDlhesw+mj4LhUTF9YumnyxcJH/5tWPDQbJhqQZdi666YbamK9G3F7psF+N6E61s06jD3BUAia/Zev6ymAM2zeHjaSnCNj7b3eXmhe6C4gjKAVYDL9wFZgcNXFCVKJ4JejXFge68GYHm9+RpSQVFjEYSqSCc0sKEOZqeKzcFsJKJFUDJLnEG3tlFt3Ks0eD1hDyIIpg/A9EFxfSvIP2F0J52IYF+/UNRDZf3n9wnjo+DVn68YnjIu3x8x3wcs98D5p5ZiVAQoRJ7jt8nmOYW08uvC/ToReRfL3U2p4LhfmBf8wHPo7/3gZ/jvP/wJ/m/p7+If//w1NCnufvCE3ZDx/s/eYPxVRDko0mAKzJMxTwWoFtjnXgocv6pIM23FxdWRJ4GX6oLwTAFMPOrbgOW1YvjDZ+Q1YvjnB+zeM2LF9EZBWKjanI+KOimu31swHlaUnx/w7p8J9PJvyskFtgipG0RKZ02DQGpk+ZuqzeBxGqc7sn0tzeD0rZUbeFiMbihoxrgLxEjRhuCqG2294R4YbWgokhlVOg2AqcM2Y8upbCYEIZV5a63sin2/RVDtAGrd/AIhk8o8SwSj+xgq1EpfrJXoH3whbO3wjU5WCnD0ZUIEAIKgNjooGsIajQZZhk74CkRunSrgdC93tlrz3blzR8Qpplpbvm572W7j7Y0XRENx27wwBTsNWA9E3+j8Uo3UVWvzLjTqiReY70sE9Y6uO4N1nyD1ABRFmKm2KqWymHoUSulHj3r7AcSAgRYFJCCM9vNnnthev1NKJbWkz8ltDqUZXx4dd4rdWgwxYx5lq7HJAaOQgV91M5CaQ5btnoZqfUbXtDbISwS3b1/v4PaXalPTbd9/WR7J6cr+uzafOwe4IbzdM/tnVWclZB4C/jHdou7t38Uc3JfvATQEp63buM1NqiHbvbr7+fduaGIA5ygoXNOjuIAjT6Ch2wVC+quVcDC/S3Wb6xIrQqTHoEGhJcEFE25fCJuTALQ56S/ge19Do02Fd6udGYEiDLz0feRjAJgImhmM9rD2ftb25EJ0S27zQUuFasf7yQUIG4IkpXOslXRJd3SbmjfQ9uwEWJ65G6LWTJ/nhUFJ3m4z0La+6fZjYGPn+Fxrhr0AYLpCkGJnTd3YC34728+bw9zVxm1iHK4+7udBrUDlWlIECGr7W162FTBnDEAMCBaMRPW8NKPHd4HJhiqm0M5GDpifbxxCqmFv+X09Ov5y/265oilYmSq9PbvC7aRs89nOEA8IkZJPtgKiQsaKNGWEWFFLQK2BZeZ3dGTqSJoby4O44JWdJ/7oAui6nUGcD9jOk/YSHCNN4XYR+Zroc4YN1Q9FUbNSg6dbe018xajtnBe3e5mfuSFb2SLAaiJ7Pr6tI6NdqxlrPl59OoKXWXKH2NF2D5SpCGmpANdECtA4tICpO6kuJKcxAse9OcATNBkKeLb7djoDzSHtArkAaEcEm+tdoEBF6Oz6mVZAVeaF1Gc97OiUT6k9dzjZHunOogVamJJEeyUs/VnldoFYqs/tPPMgmO6sZBGA7GirjV8w9WZHcQELHAXfB3zfRqPrBkXTNKBKtgX9zcHyVCin4DtifTsNlX8iKZ9V6ERo3pxoX4N0al+uLWmGfRkJini+sEZBmYgW5gM7M14sBc+QYq/04CBDQ1utH2q0QH+B5bwr0+TWAs0BsUPuh0eBDnTo08VLtghWONODDmecme9ZJj/sAC+JxP7aUnEkG/NvrqaWbuNlitRuH+R9wPxmbNR0CJp+Bhkm7D9Xis87WHobJ5AGzgGEDd334N/W2Wi2rkbe4/JlQj4+oAybHoWzMNYHzuGeLVgmOm1SgHTmfRx9LNM2H/v9SktoNZvLBCyvHOWXJgblARqs/t48y+qe/gs+xrZXhGuw0qJiitVUel/3Afkghgr7Ji+2FgDsNltIk0IOGSEqy++sVpZn5IDkGjDEgvvdjCEW/PrygP97+Tv400/v4OKR18uInCPF4ARAFSwLa+GWCdCgQBHUk1W2OBbkIljuOWfdsd8CgexTrguOZZm282c+D9A14HBlyofPxyb0FxlY0CRYlxHrMWE8C/IeqC8X7m+5/vU4uRb9ZhScBn88EVmtr48oU7TDgFHDdGWkuTm0S22bhuesNKNoyS1PgRQO26xF+LvLTIR1N9mGZRu+o8jFKGuewwmg7kYmWq+VyAf8sBfIyDpjcp2B0wykRAEqdzZraTlcEKHDDGxoVDFE+LoirR2dVgT5YUdBpKUgnlZSisaNAg1V5mvFEVIU8WQCAnaAhSUzZ2xIKMeRG+XdQJSwKNKZeQDVjE+nRcZZm5hUHcRyMjrxi8DDvU4dQqksVwQF8jGi5Ty5neBNDr4JKjetzskNu4w0Fqz7AXMcEGbBGClkIUWRZqK3ec/FMD32svpozxPcRk6hivn1gPrFiOFUsfvFE3OJjAZZU0B9tW/RUeZzCxBpLElR1EJRDSiw+6ZQtOXxioYoXTKkK6qOENHEfxKFlrQzvuV0ZZdcE8IQSZffW8mqM4WO6kQEv+WZVzSqbLiukOu6GeNmgHk+dwvcaNqM695BDGFb8h50cmO+FGjOQIyQHXdtvc5AzlsAJQaitYCJTZkzEITGoQsALQu/k9KW82tPbsjuzJ/oNBKVBfcEQeecvXTg+8tQYoks8aUhQEfWeAwrGSGNIeHMBXW2SIFGOg9AZ8RjM05pOAjCtcBp8J7D3zupKszdKkb7lywQC+RoUqRhqyGnCiwqwCm0Nn12CeCIBWAHX98HFXSKLG/OHUwvc6ZDQhNVsgCMWpk0MUSo3u+aGB+p3pvhGC8MoITnK+qyQkuBrhm1c3J1zcA0NeNb5rw5mQCN46DQ0dQ8PcdaKfLFfK2MeFpRx4h857Rfm+dzhlzIRoAJATqiKTYvPK+7zZOiLCEUGfhzUSgP6Mhqe6g5qtozEyLX4s0wODXZ536tzDlXbfdU27MlEFkVqVs6g9uQLgBUFLJ2gQIRhP1A/YW5kDkUAsp+K9kBQ8jqFLlPdTVbHQklnY6iUlvJpM64tjml2JyrOgboFJCuBeHkbYptjXDtusGNhnA4BTQfyFjIB4XsCtKU8QdvH/EwXfHt5YCn64RlTJiTYr1GpBNNiFW577roW3NmzaFxNkMb05sB6YISQVD3A3olaplX4GrKPm48rYboxYChKmoMKCW0NdYCm4mlp3RIzEPvL2Oa0JYwJsIxNXoxkU4GbbyMi+fH9bTUYIidM0XEArWtWoKNuTuyKhTMIi2S50F6Xoy2yvNKh4h6dw8vZwYA6WlB+pC5vhOD5drOBlsLCshSUBMZWQAQZgMZsqPUgaWLwPMn5IrwuECuK3Q/Yn17MGeMe9n4ccbwfkF+2GF+NxqVtEAUWO+JUA7PBeOn1cr1WEk+Q8TQGAxoNOd4YVC4DkP7XN4ZtflM1kJDxgA4Qpr37ItWcs1o0r3jHK+8d5ki06qi2PhRKGk9ECWuozL/1pwEKNd9CIoYK8YxY3kAyjWhPgfmi44cy7BaHnZr3PZXtTQvqUAZwsbYasGhAWUMWO75LrsPBXHuzp9IQVaOjwFDi2JcGOArO87VuCikCNK1QOZlmzvdfv7ws4ol0wnZfaM4/uWKOgguXySUkf1RR2D/jeL+L660KY8c09P3A1l6KxAyBTspnMm9Pj0vGJ8H5E9kKNxQtQFc3gZcvgjIewpfhQyMV64NjSYemYHdewbJ5nfVAiMB5cTxHJ5Jj57fAi5gGi9bt4d1E45a7gXrUXD6Mano6Tlg/2vLw/3AdMDHXUJ92L6nAY0GPH0kau370HoEnv6Q82R8DExFsnq2WAJ2Xwej6CrqlwpIwPhENHx+R+bT7tfhJl+3DkB8M6MWQf16jzgD6UyxyjBTJDasiuUukOb9BUs/5aM2p5MpCoJyrMhBEa6BJYB2iu998Yiqgg+/+AK7rwXrg2J9CKi7gHXMSKHip/cf8HY84f/x87+N08/vu30YyB8pZDvM5mAWYP008nev6A/E54j4nLB8kfHFDx/x6bDH6ePRarvbuZK3wMz4aMEZE6e8vhOsR5vXX48IC0svTZ+KleC0IFbPNhKmQ5Udy1TOb4By/Dfl5HqE+EWOiNMRZS0IzThQJl6bUMAW3Tckyw7hhvR8B5LVrpcHpTm42qPKIs5H4N/Od/aP9JS53nHo0MybZwc3qr+jc9uzXiBf/UdunBL/jP1Hu890uZXuIL9EvDy3iqIqXXtN9ANQvobAKJO+ePk4r8/WRD9etFP7KIkhj32k/DPESl/8cWOkhbu3n7XvdYGp3sC9Efgo/J70/aVoRmAdpBn1N/d049vtGtV2wDqtyNGzuFbIUjfa5HehqO02yiBGrRCVDZl3GqyUzfiuVu6i2Nw2+qAYSieKbt7jdg1hc8q+06n9rsvn/guUttH0O+RVfB4HGKoX8N94fdfz/6q21a0/bwTWXrwn8GJttN/bGFSwv4LNj6wmaGKTuTlan7elobz97X09ef8O0VRwOXEb60RergFrs8/j7lVfbgm34jfdn+6LLWdZuu8Am+HqInm+6aNaPiWDdzcBkc6Ab+u5ggi273fgvHMqKAArI9O/xxa4aX1Z0Yzo9rnqezRIiVIAgbuGrLXl8LoYUpvzvq9XwGtvi6FJN2vuJcqr3f7dXtTXaWhtbuhyjwb75UJr/dgbcvsSoXUa6i2tWm/3f2+Tn1et/21/DXbvolDp3stym2/a5222MWvpONrPYf18LvlY9Eve2niTpuFnBbAxBwRk35invBnj/LdWaQhn6B74nduACN/RnWnd0gW23MuuLf49Tw3gQ9ifopwbVmrnO9kpLbhFZo7TwDe0H7dnud+/v/x54B7dao67o2y5xa2Exdoz0NDW7ZZeZd8x5LnPTXZmVntv14p4MWbtJ7GfZ5/bKtrmh53rBWbjtNthg123Z/zW/bpiC2R2KHa/V7uAYJ9+ALywA7DNtX4PdLHAxkbw5VAtAC8uOLrNZ7Jatn5utcXNrmk6Fy9iF95nbJvvI9/xmZeX0MFVFZQSjJJp88Pb0/ZuXytdX3S/a5+x978VMJQbM5FOenhxBm7vdrPuu/uQbmt7em+XdGUHpdXHttsmuZl3ddhyJ6WqBX7iFhAWbPnWLkxX7OeW0nPDKNSXDEGgpRC4uFXdpqb3qyPfjdLsQSblGiLyTqVrf76Pq4v/lQkoOwbo6qEiLNLur5HIH1M87B6G4rdxtfFqzEQxdqGQfehph3WNkFUaPZtMD+lsTcBFZ1mjl+/TaPhFoBaQ8/7x0kytj7TrfzNzUE0IbmbgpOzsbHfsIyjmlSV9/J3CynxmDYK8Jiyx4pwH7OOIdY0NFW/50j6/xMZEGSQjK4vzkNojzE8+XUcGF/e2htcNIXdNHy93VHwOCSBVICvR2rAIalLkXdjOBuvzprFQYWliAoxs20sy4m+7fncndxwawtlyVYG2OYbHM+RZGIkfInStrBHfHYZhzhQDidIijB7B1yE2+q6LCnmpGA0BsKRzCtzoDb21XWbweCS1lYlw0ZxSAc+N2U9NiEd6gwlAPYykv61OudPP9s46JqLETssTOmF+kIeZ5Sfy/XRDU/V3ummvOy2eK5oCsDNhgkalUojWppAIBYZnPtdzguKlbIXpjWoTlrIt7LjlkjYakAD5mEinK4rxU0adAuaH2DYVp1mnK1dGfYqMjAYuuAry8/WUMD5xMqcLtjp7duh5kWeAiyKoR8OZe8Q8nbhtSFVRwIhp3gnWtzuEbI5qqUArdonmhPr79kXb3ZCRpVKt00WdRGwOdOhKDJwvpRDNtxw+llB64cDZ3JVMQoU7z3HJiCfZ6GIWBKKR3KH+7R6k4rta8g0d2dGpYqhUSlyLpUDPKxoSCzB/d7e7bedugmAC1txyeft3VTXnSa0fvW+CsTV6tCy/sDKM2SG5QJ4Z7m6ot+W1A53h1jsdzcFz45N7SzxtwyrKSHAYYsuhgTnsdYzNoJHq+Z/YAg1Aoy475Vw7tFwFFjRJLTgXvXQDBKKC9YHjVOaIufB3EvSGoh1WZ1CgCTFFQ3Y2dXfOjSZ4JWhiGPluAHTwBjOX/LywP8K2n+kQt7QNf3Ymoiru5HT94crdWirFrQ4HRE3Ao335sAO5fc6CYC5f3VuetKFNcs1I5wUaAsLO0S9DyNuctnJNIi1Hyuc7yyCZQ3Keia72p5btvU0J+boiXBcicgfmbsplBlSh04g6Ju5jOdzs7W1OOyW5d6Sd2tznp/saKYX5oNPAtqwZkgvZSsedqdXmlgPdLqVTppVq4IDtOUNE3UVj5KDt/clp+U7BzLZPiYD5otIoj67M3pzfsqUBtLmsm2DN+jBun+uccOSCpIZ+7gIkojka6czNPyyCJQzI+4ivpyOuOeHTaY/lmlCXCLlExCsNqFbOxdDgdK43jncLjDpC5Q5IEEbmp7AZWEAz6IdzhqwVFcloxx44NIrsuK1xVToPCBtroAU6uqBPG6YYUIfhxtlSRzujmGJrsaAJ2zo8x0YdZfvNOVC0mts3gnrN7qC4XZw5//L9iPU+IV0KxveEpTwXt6QABCHb62m+sanqcUJ5mDZ7wQM0Rcmiqds+hhRbHn1778A5z+oXXJeuG4IUgHHYbBVFE1yrKaC+2yNcMg5/8djypzXR4E6mSL3eJaLSl4wmQKWC4VwRL31EkzReBGB4Kth9PWO9H3B9x3SPVnqtUe6xBULsKqMLElWMnxbUMWJ+u+k+6FqRDyz/5BRIBDoRw9lEzQMQoqAWAaJgmjL244pPz3ss54EBkEyUPz3LhtwqkdV0oZ3izAWyfqSVxgnFcpgVWB4iBZt0c+zGJyKXy11AGclkGx8LQi4YP23nN4DGNCpjaKkCLmrlpQdVKtmNXZpVmaxqhpJS++Fvj3A2UY2Cy/cU+XVGXAfsvxlRR8H1dbRSSaREl0ka3TguPNvyMQCyw/V1wPKKTlYZFSELdu/ZtvFZDbXFVv7Iu1C0rWex9Aav29rKSYLObT4Ay1uyrobniHRW5L3lVB+B/AOgDhX1VUYYS5vq+BCxf8959/zDiLIDdu8Vb/6kYLYSQmEF9l9XxBVY90SC1yPLIoUVuP8LjsHT3wCW7xXIIhh+M9BxBcfx7meGDM9kpA4nxfFXAVDB/muWLHr6ScTlB9zY4i92HbLfTWqlbUOknEyF5Y66DEkEQERYgN03HJfru4h8UJR9RX6bgRzw+KevLU2RCPPwLDj+XLDeRVyXCZdpxD87j0hjQckR9YsFekqYvokUj/yyQKaCHBPqFBDPgv1XZDF42Tpfw+NTRP3ZA8YjcP3pgjUo7v/5hLtfVVzeBsxv+fl8Ryd5vWOJoeEETB/tJuYMn34ieBr4btMHNZYBVafv/rIgXSryTrC8Jupf9orapwD+Fde/njq5gKEDnSKoX2veUBP7bFg28RJR0ABaVm7MY+fk2v2bAWWGchMuCUAr6F5hqAgdT9WubX6FzQBykRsAFJoyupmMlsv50uix79OorN+JGrnz2Qyz0h3I4kYm821cNU/M2ZM+zxNmGKTb98dnLjU2NAiGEhZHbc1TFUFcLV+jcKH0OZJb3lB3OFelvxWkqTPHrgxLy7eyQEUfhQrVci2CMIclBsjK3AUvrN3oyEq6TZCNmnbzbkXtoBYEP4y7/vYcIa9pmrI2VMqj+kSJN/QUEm5zu90BqvWzsbxtTPfvYgZ5COacKW4onVXN6bH7eVkgj76HgOpLz+n0PWvAx8fR4VKBdaFjOwy37ezap147Vemc3FwuluWGn5Xnkd55vrmdRZs9YUrr5vT3BkfvmHi7XIXclckDDRIP3Lx8FnqD1O/foWUCUGW1c3IbAiOCCibZqL0TALQyZLUz8F84I325qIYyweJla+TfRpcLKw/EFhWvAs2BUdOgLVel5Uz6mjBHJBRtxqaErT2i27lBQ59GcYlbsIldooghsKxTFD4/GjVXtnfZ9kCx+a5bwMBKsTVRsZZ7ux0DmpJRol7MH6vP6UqtUoyGm0w8ycSgRKQhC+7I8fPdGmjvuzl2WHNrZzNUu0BfqwmcjH7s88CDmlHQrLmXY/1ivNvaZcfC1dRbs7q1585PQ3yLtHq24vfq3mV7Fj4L3GwlqbhxMnWCOc51cMof96mwVtYlRoBOdBY2VgTv7ayGtl9geyYpoFaf1VIjbt5PFaEaiiSb4R3MmNHIaD0QMM8DQlCsS0KdI5ADZDGKXbefNwPe53yn8qoCVIQXiDMaOnJrAHO/rnNAzHpLP/erC7K6cJW/f9vrK7Z1/R17pkbi0805hU0fE0cLc27pUY2B0+1dPB9lO0d9ztueys+ACIzZOZwvI9/7AqZiecBK0OyHsFi6gpcFEgHudqhjZN6p20B+jvoasvxjBRgYCFsftKC5tVNFABM4Ul/DXX95YKocB5QpIp4z5PlMbYDDCFQ6dDCHxHPO5aIQOJ2YbI5oehdN4DFw7IfHivhMRfR4H9sZ31Dg33YJttzKpbQxopAVoIVOdhm2z7YAhSNwRVArzxJV7rFDLNAqwGzpGlk222VFs3tC2WyZdKUjW4YIDLaOCt+/1arW2BDCll5jaTfX1xR9q2dbl6WrHe6B1xQAAxzcBmvirN5PHtzrzv4eMa0JKA9sezrxfC87RThm5N1AMc6R9OKGNqv1XURzQEnDFohRR+kQK8peoeu2f4dVW4UJF45yNM/PPd9zHBUVYGNMAa0sJZWv2Rhvgwub5vvCWr53CynmSyK6CAYgmIZAkbH918D4MaOMAwPKSjpzulbkXWIe74704HQSDM+kGT9BoFOFLBHx3KG2oEM6nGvbw0Lm91CB8VRZL3iIWF8VxFPA9C33ek3dkdXGkH9cl8b7RoMd1zNVl6UA4V4QRpq8MlZoDhg/BQbJ93QopTqd22tcC3IasAyRegtjwXpJDDAogKAIqaKkCh0Y1E9GoU4XG/uJc8nXxLUK8j4jDQVSJwynivmV5RHbvqCBtXDrVBHn1PK3Q2HlinxQ5LuCdEoYHhlYWY9AGH0uSmMdeD79S6LKb7v+NQlPCXOfpoFRdkMLUOsmZmNILlRZeqQ3ah3hsYi/I13qCcilAiuofAjbrGNEmFc+x6TTAWyIxphuKWKOmtVKdc3Vc3xsY97veXAmKq5qDFY2RbbvX1bEeeX7OXrVOeMAePg71cCR46vlkDmyVmpDFhuyIVTH87wKGEqjQVjTLzCHMF5Wi4hTZVaydjmrtUXHt5xFCg6Ey8r8xsiDzw0H1u7b8r34Q75PuhbUVRqdN1VgHEKjHABgYvzeDwBuYHUU1KioS4QOAfGyIbjRykZNTwXp2YqjT9w0PE+4mEJpHQPWOBDNMHEqNxK9LE9NQD6ERmGJS0CYWeuvV0TdAgVmcK9gfc+qVpohIbmx4DZVHNoU11w+c0RvHQEz8ucV0IUiNJOt8v5zIkDYqLAtAn8zTy0S62OUA7Qam8GQokZP7Q2TZbVgUmhU0P6+Xq6lpxHrsjJfNyXm69ragoihy+ZkqwJqaHMBc45bV9i8DgGf5QMbqt2c7Fqb4E9zlj2A0weVXiC8kiJ5E1Ggsqn+QrUhl2Qu1+ZQSKlkbZgQGMvO1GYcej/rbtioUY5AzoUiZrbBxlWhV/alfs01UBNPaxfFCAuLoMeFKo9x0VbPsZXOCVQ1Zx4wUJzyZX9XK/PD3JZN4CRkRR2mLWfdDHNHWxvV3hxwpz8GC56pGK0/gLnZ07SN1ctrWaHzAtlN0DuK38jK0kRUpr9FRHv1W9IOjaKLylq0PiVSgMoAcWZOFEB4biBFzl/THKjTYMiLvVcM0GnkujL0VJPR6oLNF69z6+uim2OaIjCN27oVd8wFL8vAqSjEjsbmYLnaeTBDEzbPLK/YA6g9ot7SEAxpj+dse3bd9v5cgVjRypPZ2IY5YygVdYiQagIlLgzkAdI+MOmXOZyxbqWEGk3Wg37GMtIYEIbQgjnVRD5g6AqEDv0673FNe4gCgwKyogmkTN8q0qxN5Mffe6P/aaPh9nT8Opnjm7ac4DbXC4x+yDqr8bKVXOL9tdH1vUZ3o7iqss6rBaKbIGUuNwhX/HhBuB+gE0v9lbuhod7BxeuEAof5kDb2U+foSlUmI9tc9nxYt1dEqXpcTXm5HEf2f1ZMH7kv5Vf7m6UX5wJcc2OBUf8jds9Q6BiwTjuK/zzPUATUV0e8ZLr43G311+cC0bwxSaL1nwXHpVZgXjFYEKgOATVQKKkOgnJIkPtjy0VvDqzNyWqMmrx3B1GRSkU6F4Trijom5DvL1/W88GQshzGyuoIAaTaHxyjOPo8afdn7XjmH5nc7iALjI/clLy+ktud7GS4NsBJowHCikm/cuThqxGMOeJr2wMcB45OXf9ocO5hD5HnnnhfsNeBDCa0ggxvm+srG3kyJMvDdg1E1AdacjSaypUmQQ2wMumCBycYWSLihsUPJXpKHQ5tD2jlgdSASNjxXnL+X8PwjgWRg/76awxKwPO6we2/vd6m4+xXPnsubgLITyMy+9yAMwHIwFBNVHH7NgEXeufgSz6H1wM8QJOF4sTYuML8hArz7WnD3q4z1GLDeM+93eGbJqfP3BJcfcN2nT3Ruh2cyR8oAhAmQkyCsCTUp1kvAMuom4nQWnL8XUQbB8kCF3vlVQLoMWPfSxuryjiKBZe8OO6CR5/p6tBzkJ4HU1ILdHGP+OX8/IORg7a5o4FXt9sQCxDMd3Ff/ikyTvAtmv0oTuMoHc7L3iQHKC3D3y4rrm4DLKKij4vRjc0iFwffpfQS+iS1gAABhID6xPLCEk79PHRSYKuJUUE4J+eOAdA4m8gboVwNqGjDNPAvSmeNh8QXUEZhfCctv7RX5qNCpYAhMpXr8tzOefxo4nxe2L53Nbgf3wjIpnn8MpCvr8gLA+EGQnhNLAy2G0B85V7655xr1YBPXP24Ct3/V9a/HyRWhQT4OqIcRkqvlCkhDZVweX9YCOV1oWPjmvRtp6JihIgGk0aTAQ8OVZ+eFxsZxR6OqVMh1Ya1bE2eB0946hcZmwHppjHmhgE4yGlRKpCk7bQyg0/7CYJfrjFYewR0Sz12wn9GRBpUzd9FyANbNsAI2JKszFOthpBG6AqLFqMXsA1JOBOPMQvEYIjDBHBGigCEw6l5HsTrEtxSRJmo00UP1qGtoYj3SAgXb4cji5c0oKgHDs93TbcKSIBrgJYM0gk5vFNZCi2IF32lIpSud3PRcMH5aKA5RjOb0tNC4eBhRdoF5IObcZiulUeMW/aLSoCBPZiApD99xqQjzakGG1IIWzcDMVpR98aAAaWjxkracPpFboZKSoV0ijTrC6DRjMUdtXaHXKx0Jp8G6Ae1R9qik+7pD67Q2r43qpWLGgc5ajBSJMiS1PRswpzRwPdncb3Tj/nJU2MWm5hmaM9+xFGCa6OT6u/g6KERiW71Kp0lbLjgdYEN5U7hxuluuaOdMSalwUR9nGjRqaifss9WB9J2M6J0OoVG9m/qw6ew1Q9gMNMmkbyEXog9JtwCVBTSIHJhSYLW8MENyag0tPyZkaeqWns+oNuZeLiDOQDox+jqeajOAnJbsqvIYPCfL9iffZsLm3K77rYxBWImYNFXPwnumc0G8ONJtgTSAyEQIrU64nK9EC+/35pAGlhCSbn/rLl1X6PkMmbZ9uQUIr8sW4HNmRYcWtfs5OlbBvh07SrOLuIFN0DGZI5jbetJpC1qSoh2aI9kcWZEOwQPZMF4KaNooyFvQVCy4Ye3vyy45WtZQ1xcBAF+7xlBoOebN4L8V9/G8SanGElkVEZuB6kgZ52KEJEN8LAgjS4VcARkipLq4Iff6jVLaozjWJc4sMVTEmSoAgwwCOjYyF0gyOj/MQGpzHajZqMEBGD9tARhXP/WSGbuPBXFWLA+xlVLxq+kfhK19Pknduc2TsYW8PmaR5tDUUbgmsxqVsQt6KVqOuahRje08Doudk4Apk1tgr9vP5emEMB1IxT0ErA8JYVWMH5bmFAJAnSJ/tyjGtd6+iKFuTRzKnW2zATiWkTn/kU6iBsHwuCA+rSj7AfmYGMCYNzq/zGtbTxpjm6dOYS9TQJ1oyIczVb/L3YgyBdtzvBqF2LoyYU9bX2IlsqDCeacBrSRiLhSGGxLKu6PVdzXK/C5C7ifufVbKyYVCdQhk1QnPU8AEoDJTFsI1t37agiEmsDamVsGhpbB9hlLazy3w6QGRfIhY7iPiotj/+sp3t3zmFC3o7qWNIhFbFQCrIilQroBU7rtLTahjxPgpID1zrtfJ9hZzuNNVMZw9aGkUfUtDafmmwmGHO9cW/Fc7ajTSPkpXE9q61LYveK3hYkGsdKaSMVZnwmCz6do6CQDGZo/W3NGVB8H+qxnjv/oK+Hd/gucfDZAKTB8L4rWgphHLk1DcrhJoGD/MRD+nA9fmAgtkCfKee8J6ZJ9OHxTTY0UxJ7fPmXZKcbwC8kTUzp3cvAPmNxXTtwHTtwvCkpC+HFFH0lmHU0XZRYQfn7GeRuz/bKQ69MkCxxNQsqXePfHsjEtEGZn+FmdO68sXJmp2V6GjIh8Dlgeba4aQzm9ubVoHUDTxHSiAxcBIYwqYAr1G4HpQQID9bzimjXJv87s4uj8Lxk/Aw5+egFxRHkaUKeLyRaLjOLEUJ2svMwjy6k8qjr9aUOOE65fsz/UVg6XDh0i0+YmiWe6U1wHcR4uy7OFxBXJAuND2jFPBMGbUDyOmb0mBdipynOlAhxWmbM5SrxoY2CijYL0H1ocKfbfgx9//gLUGfHg6QFXwoz/8Bm/3Z/x/f/5DhH+1h2TaRB40LItQYOzdgvI4IJ34/PERzamPKyd5OVTormJ8c0FKBc8/e8Du185IxC0r6K+4fncnd1lNJVOAXBpqqW7w+tWjNF5+x51cz7tVhYgf9tpyX7c8Lj6HYhNoiBQdA3vjGJrRDMBy+urm9YvQuVVlHqPXRXTD3tG6IMDL8im5WIK2wGvwes5iEyopJmytSgDDkYOe1qq69cELSlHrJzdma9kof7kaGnsbgWX0khHkUMzTFNlK4i11q/voNGVb0RvNDe1wDnW9HUNXoQRaZP6mhmDhYsAJlP/OsgkIiCFcZ235K56PWx3ptkOiju5kb7mEKtyo1zurNetBgUTjSAqRaslAKAEqirKLkLuJCytbRD++GGPP5XJnTsygXnMbG6mdkyuk9JIaGSHJlk6fR+1O7TThRizlxdhKZXmqNjd8PrxgBTitDCLMq+3moprhKpIBpO1eQPud5+VqMobATc5jNNGhSKO9r5tqDqSurCfNB/lksnURpCG4n109iut95I57T13uyyGJtMj2Z3sFQCQmbP1yc/kw2TrXAXTw1L5vtP+2F5SyoWAV297RoSCwkgKcm5ZjX4xqZXm4arRjNen7kGkEMS+tNueWDgTrYDe6m+XHN2quObh5b8jDjgZPNbtaCswoMjQhK2pmGkCr66y6IYtdP/k+S8fTUb3vRnFlXTm37468p88podKwpngbpLN+1Vpvn+uBjG5OeIqC0xtbvqCxGzSGVv/5Bpn2teU0Y3Nc+hrlkurm/ALbWoTZL0bNZhDDWBnFaPqWb/vZnARwU1rLnFc/S9RywikWZXPP5g5ca6Gfq17maTC1eqsD29NHXbXfhdZITdduDAB0Dp1kvqfvpY4S+x7qpdUANBSyT4sR5dyMl4qwSnM+XVmT85LzNs7sTOol0CkNC9tA48gDQb5voalWuIqzK92ue+7f68GCOcUNM8s1rKZImrE58GpnlwcB/KytFVIDkS7L2UUKRs/nvJFc2hnGcQ0c91kQpoiwxpbW4HPA6XBbSbtbJ8NZVoCd1YbY92j+TT+v5sxoH+zw9vBEVtl0F5yGz3kG24MqEGgDuEq7j6mTd1pajyP5xd49iH03Moj0Yh33wUZXJKcierVAg7bgZ7NJWpxxUzsGxIIl2gLodT9AY0A6FaPJxhu6YboWHH4jNr82Sj7HwYLy1VH9jc3gYlZhNfr/WgBlSkxtzvA2XzdhSnN6BQiGHI8f+e7DM1qlirzn3Bye1Eog0vZox5M/tyjilToeTpN2iqUGOkvVJRYUkBHQQOQ3rNpSW0KRJjbk5SPd2RdldZJ4ZXCef4D0XBFPC1xIUrpzPs6K0492mN/9FJe3sb376fsJcY2o0Vh2tnXWJFhejWZnc83XBMwPWz4x5wV/fn0ruL6NSBfF9JGdm3cb1TlkAIHKx+lK5zpkxfAckR9ZdopMgdDGqgyA7Niu5RcHjLNgfOS7pIsizRX1YrnWyUrbWE6wDoDY+Hm925qB+im0YJoHlZ0GXGwepgsQjN68vOY6p0o6z3oi8EC4aFP01ghIx0bZhLoATzHxUjgIRCif/uiIuFSrdgCjAovlefPcX+45v8skuL4bUAcrxaOC9QFANIGtQQGEVsZpOJFVk+9sX10EWJPZK3zPMkeKX0XFeleRTgHD063T6GuQOiFcK15+K52BOAdcxgHLFxFrCawdrILffLzDN49H1MehgQHrHd9leaUttxufBsQzA2WbCDGDH+shYD2i2QfXZ8Lc8RoaOyosAu1LSf0V1+/s5Or5AuyYKyjLSnRkSCxlEeRWJApgNNwMMgwUUaq7AeUw2GHpKIs5sNcVsqzQFElXC7BDDUbVK0AJdLZDYMmS3sHNlTQ4YHNOh0T622BiPf1VnGY90KHsI+8AD02vu7d2Dmwz3llzT6pCTOr8JqfIUQlzcHWKhu5JO+A0mNDI1cpaGEVQjzvkO5YX8t+5MUbBAdKjogcM1u1AcKpiU/N9YYAxx47OiDydKJxyfzQxIzMw6wgcQGQmwBx2Gt2AAs8WhRpkQxraIbMZiH4w1ilyzM+r1Y1LpjoJOIWTmxhlx4mWMQKXj4wmhUUwfSBaDJDqBEkoU0C6FAzvz0THY4CXQXJHUy6ZfWLGgpxn6PlKlHWw3dGvwF1KgE3kSZXsAlUKPqlCxpE1mB3F9HlnfzuN1kVzmuM5Di040i5HzFI0gbe6sREqDXWFrQeP/Kui5eSWAi0FMhTmFcLGLAip+DB7rXcoe8f7ckW9XCHjANnvAAlNjE37POIYb5365mRv87PlvDekOBBRALaglDtU49DEgHQiyo95oTidly2KYVPVNjSniQPtxq0u4cBoi9cgxpqJRnrAQwRYVtJqfS14HmhRpPMKnUmbrJEH6zCGNj9JU9ZWvgrg/I7XjmLpiIS9X7wQqVkfplYOoiYeaPMrO5hHbFFjc6zTFZAMjJ+M0lcFYTFjdBq4z3Z6ADAHyPc4BsTq5/na3aXPF+D+FXDc0+m0e5BqHGh0O0pljqGXh3IBsF7kiCib/0xvyrb0KCtCIHPBfh4unuhnTuC8cK3td6jTjvN2WRmwWOKNkQ6ATqutDQaRhIhxLRx/n78+R82Blkart3l7iPyet9vQLgDQtKMztRbIlWk2jkCHpyvPrSG1YIEzO+puQB0jS8yZAy8r8wrLboIrnXpucDDqKkWC7HmlCwCHAL2ftr1lLsb22UTJbvKh+72iKmRVTB+4gdYhUgiqM6Lz3jQPzhXxekvHdup8+KTN+bu5BFvAMhIJKNMmILI+KFVCwekh2RCuFRifBHGmETzseNaEolwDTytk1m1er8XYTNhKO62zpXBUzpXalXmKgWVX5gUpBAZGfdoGQU2pncnRnDwPLqja2TSx1EpYK9KFYyEX3lOHtO2nvr1eXZxTrU4tWpC5xsCgRgrQ1QLfVjax7Mg0iY8LwmK5mm7/eJMNXKi7xHO1gIHvXCEzS7LpfkLdMW0sHwaIKuJpbfPSwYay23RRwqJMUyiViOuOKQLxTDvJWQXU46jcJxtLjOlV5TAgv5oQrwXTV0/QELB8/9hozRAgfZox/vk3gAjKm3voRL0BTYIcOSfDSsEsWYutoUBxpysdv3BdjR1BnQDJaXOCzcFNF6LL6zEhHwKCBSwBE1ArhhTOijqSbisFmD7ROVvuI/JeDP0VJKHNKkvGGARljsjHSIaAO7cjcH1HpyQsVtpRme/oznW6KuJVWF4zbCwepjXULdCzVgxPGXUIWF4n1Ajs54Lw9Ufun/sJobNbhrPiw98NuP6gIn0Cpm+Z1/jpb7MND38G7L8t7f5lF3B5R6eI4lEVp+9FXL8HxAuw+2YrhQMApx9XhB9cIT/b4/4XbGeZIlMfigKZFNzlFSm/b/7Fivh0xd3DK0iJGM5qZaiMMp8FZcc9YvqgOP4KLVDHXOKCuFSEJSJdAuaHgPkNabzFUOawCnYfWB4qTxzf8REWYFYr76QI181JBoiG7j4U1DHh/OMKvUaixxfFbCWo0kWx+0Tken5l9unOzmhjarFOrtt8HhihbXx9p5jfCuI54e1/XTB9KhRmW9Xmd0XZBTz9OFFo6UGwPLjglGJ5EMxfCjRWyLsZIVZcJzZgeAYefsYg0vmHEfmuYHwfsXsfkA/A9QsLTD0lTqxdRf1yQcaI+CtpqQDeboDvlS1YsN6xD/e/IXqvMeL0ByNqFZQcoEuAvN9BzoK95azXBMxfcCzKuxXDLqN8tcfhlxZwCfxMssDp9UvB/FYZsEiVga1fjybkKS1wIhWQ+TvOm++4fnckN6YNyQU2g8Hzxvz/0Tm6fQQR7sV7pLQ7jAE0qmmPeLpR6whYf704yJs6YYcqUDQk3LajN8y7q6k192iCyOapWfSsfdfac6MG2Lepp3MC8OLvohbBdXpb/xn/rkX8+8PtRuTKIYaWs2cGnh3Y/FxtqG1DrV6iyDEStfG2u6FZaztgA2gvG7DQaEYwg6bGLcLKhm6f6RPtPX9LFWZYbVFufgANWWDUSiCDJdZPZiCY+EcdgGIInBRBzTZvejGabo5tBnjd5m8vetSPoeeNajdnXs4Vn3NNqMYdS2zz8eUcb2V/rCP6/MA2yJ8/iz+vdHYRt8hv397y4rMAUMPte93Mxe9wfoJ8/rPvuNQRsn491toM6c/u0+ch8wb2887pAEgLdTRKHamx736XSrOv015squ1Jtd2Ha9UcRDfybvYwACYOROQ/IAbSj7x8CGlwQlr/4kg1LNJYbvvTUOLWX3H7t4uxVKPXMSpt890CSlKAogKxvJhSXQAJJvyEbW5a/970S3uv3zKX7GqK8oYitL2tKOCCWY7AtnvaflWFn2ljbvcEoA35uR0XEYEibAjWy/nRz4mX7e4DK/7vPsWk/9vf4bf797f3etlO1S0X2d63Idj9M17evwta+r+9TMp3NkGV46jYgiPdOdnEll6KSXmgrjsbXTCrnQMvzxSg7X1NOCnScdAKjmWkwI2asxDXFy9oz206FIKWn/1d5Vs8z9Hz2cpEdVC+u7R8/ZCAMoulwWgT6/EycGqou8S6BVfq1sc3c0OEgcmOmaMpsbEWLIjztr+Q6WT9ngKp3+6sKppqPgyVdsRD/OxwXQNXmTcWl1OOBXqzVLdxt/v0Z7LveT4d+/1SAU+z6MsjfSbwhu67LjjYqORct62MXwtC2ncAiInESKmQHNo83BgO9h+1wfZ3CxYcM5Ew6iboLbvB/7cPmtUKGCsLBZsOgbEdRDwAI/AyLczBja392r1DCwp0607MmQUsrQukSYpRahm0DIxFVNCJLhVxCm3MmzJwZKCuDkwtq8PGhig77uVlAuqudvYf5xPvTYeXQID9qlrfeP+0YNEWAHO6NIBWH1zDbaoS6wMrMFRoiO3sauVy4vb+AAGK9ejzCFYTeiu7w/lGhy7C0mdEt2aqbkh0h/qGxZBT4RwLK2nfYbV15fuiopUTgqVE3MzhsAn/AWxfdMq5BYYhJnDV7HJ+BjCG1MgO3VINva/QamGLi8VVztmt5rONe+V+Jbav8tyWNtbrg42tVxIxJw5AE0DzNAAipIIQOb/Lzkpjdt4Zq5hoc8ghgOaAXAWSP9/XQwZkDVt/qomNRWmCVzWE9q5lFEQo0wqLUil8FBNP6/vfxxlABUp5kRpnc7ZMinzH8aiH2mjSMVViiMYQKHswEy1JtzYNgUZkcP/cOeDC5waTvvnrXL+7k/vFa6hapNoP1VIRni/8/zUDpTJvdscR0sHowob8BtWN4uOTxsVJQtgUl93RM4O1HSi9+M5sKp2GjiKXjdbmG+BIwQnkQkStVpYQAihOEgI0lxsdJjj6tq78THRRKKLSciWi5yiUU40kVyoSlgq9P6DuRriSstQKOXUoM9CcAY0R2A/UkHFkdslI356AFBmRDRH5SGGm4PStXJvyYis+P1BYISy5lcqR85V9vZ/YXsshBhJwmMyoq824k3nlmXpeN5EZmIGetnw0DYLl7Q6YWB4gPS+MDk9xO/z8gHBjOFcOrfmRXqdXZUOz3ChavsiQXQEC6XzlGrHkwWgozMWoT4DYaoz3E/ulOq3oVsVarD1aFRgS5LCH0xabOjJAAzwlOkZVoZcrf+Y5qj5+tRJxqpUGMEAKpufN9s5t7/jlwnzeG+fYDH8vTdMHSEphGZiq3OlTIg1fpCkwK7BRfD2n12op3gYS3Fix9iYyLDBNCP5+yl2tiVp0Ql5eakid2my57rqagFEMkN3utq9yhs4zAyodAocgt+VeFiv31RkwbT2uueXCb21k34Tny42h23Kfu5JJTX3U6ZxNPwDtfo5SNiTY95AoLc+0KQcDlhJQmddW62bsevsMFW01X4Xzet1vub1lAJa3FfVQSKlduTjyndpmH5DOQMgB6UKaVxQ7nD0f0PNbfYg7R9HFxtjvt0E3vTsAkE3R1S/vm/24lS1yRNOdviFBERqLgLKPZozYeOp+go5p01gQy5+N0s4OlNoM8YbEFuvL7qzQ496cOLt3j5o6U8Kd3sI8/ZsyYZ7P4Q60yCZm5UEVz3Ve83ZGJDKBsKx8rxhsTMH8Xru/Dolnje3jjeo5FwoYOtIepK1HR+S2+rrezo1q3nJ5k4l22c9ksb4x0aVgDm4rtXTY8VwtRmHNQEDenAK7T4Dv60Ttg/WZFN0osM4I8svbm0JLO2nsEhfhCWgUwnwAyl5R3mbs7mfUyvzbWgPyNQJrQFgSKdMXM2bnivEjz8syReRjQkwCGSJLyFkua51Mh8Gp7fZ3rRtrq94foFcyBOR8xeBMsP3INVyIfpfjiHxH1gsZWRXpwxlyvqK+uoM8TDZvqIQtdxMkDyiHEXUXiWY+zkAAyv0OdQhW63OjnJISTDRNU0AeJ6o7mx5JfLIybNOAOhly2vd9AOqUGvMiXnPT9JAgCDFAC1kG5ZCIBn68UgBsl8iWWY0Z5MrHVl5Kg2AIQjHHOWP45hk6Jqxv9zxvLxlhraTL2zzyHNj1fkDYOe3ZltrIEnI1SQv0MS8cWykvW5NhLUAWy+stcJVhOgaRSOqlIH2coSlgebeDRkFceC7WZOJNxZBnGE16iohX0wTZJUgZ4DVgAZgqcIHOFcPJHLrnBVIrwlww2hg4W2i9G6BxxPVdwnInLRizHgWXLxV1p6h3GWGirkkuAgRFGCrHJUxIzzTkp09cZ+64h0J0tNr7Unm5IMwFO08NjIL8wzctKNZriZz+wCjZnxLFtq50UNLJ2n4A1uPGGy8TsLxhwOL4iwB9ZCmg8VmZd3sUoAK7jxVhrVjuI86HCfuTOXpOEU6u/kzhot17ph7kI/Oeh6eC4am0nG8GDIR5zHdsR1gF06OtV6On54nJzk43j4vi7b8oKKPg6ScR65GU1+efkFpMai21A8KieP5xwnpnOahXMccW0KS4vhOsx4h8AOIzy+c44LQ+CObXdPZ3HwSu5F1GwXoHlJ2iTIJ4ZyJXf+OCsgTE//eE8ali+sj3CdmEuZSCUMt9xHo0ynVAC2oT0DEhyyvzlA9frZA6MLipQPxqxHDivCELgeWoAJB+nAPyneL844rpfcAX/5z3fPxpQD4K5AMgNUITcPmBIl4Eb//rgvGp4OPfHHD5gWL/leD1/29G2Qcsr4YmlHWVAB2AdR4AUYSoqGNFuaMqc/jRGf/+T36OrAGf5j2WGvHpssO8JrIvPyqubwWXH2YLcnB+hhnYfyW2BsXGnmkQ81vBeq8YPwl27xX1+ldFrLfrd3Zy6zQAmdRddeqnGwdmpGqtpIHZhNnqRJrhuOYbuqPnanhUU7sw5WfoxEsj11GYBHi9x00VV5txzrxWtAhio1MmoxnVujkXft9s9SU94oiwCZ8ADX3wyDJFXtxwM6QnujeHGwOtIUmWryghoAoPVrX3litIgVOlenS0yJaVnwiqNNRfoh69sep015w5LuOAlltpkR0MAq3sdfWotRmgUpjz0hCOEJgD6uhwCib+ELYyDAq20SKIHHttUV13dluujb+vyhbZdCGVqIhjseAxN74mzW/R0xvkIAmAwNxmzxUrehP5hioE7ryELXjSV2z3y3N6c2Zk1J0v72fVzdnzwyYl3Cgbv0Tzbe40Eac2dtFyW7T1iRv67X4xfjc619CM0JxXIr9deNPfB3W7p+XaihnffT4i/9g87hFhb7PnOoplfDtluh+Sl2hZ9ed2bXemQs4UiPPvx3hLtVXmu9yUQ3JHyT/i7a9dG70ffK9o78b3dYeQQlR2rzXfBstiaEZ9KwMFbGwMU81+MSqGsAtzOC0aemOwWvSYJcSU+4EL6Bmy5odhP4wAtnQAm2eNsvuyvxuqr8Agt+hjikTTOocewFbz2xXDuz3G88Z18yE6dNwc7IaCstSTgAEnL3uluJ0XDY16yWzo5qnPTfUxjy5u+B1roUdi/Wf930Bbl40V0c4T9qd6OSzf+4qNb+j6sEegDU1S28ddjyHU2pyKzy53ZJ150IvIedDN9xG9FdMS769abZ51e47vEWJzutrkM4O7nb/Nwbc9UPp5Ze9dtTGC2qs2xhYgaZuczFnmPt3QqX5ogiIEomaFBx0Dcd2icJEhyZtDVMzR0CAtkMegAL9685hgQfOybTKa7Cz29XqhqrdODNBJrqbInG6RRzDgocsCWVaEdbB8aN7Pzw8d6YzJup2ZHsTlGHaMJkU7m+oYt/vAUrfa2uv2M7/YdS0oIZlzSBC4tvtjxmyMpuwtAuzShkL7fKwAzGFxG0Ntjsu8tv22JmEesAmx9RoNzMHWJgAY/H29KX6mN+YOtrMX2NapGmqWqylVR0sb8TmlJjKWSOd3levco//aSp8VZz3l2lIi4hKbY+66Jax7zD065MrgVS4mxGkO9Mh2uMOdJ6JwYVUSWgKdJx268y3YThcUMVZUoRiQGnrZ8s59vfkaMwefzBHur2GmjV0PI+rkwStF7Q5TR/7CwhQA7/NYuMTXe6KPbTpNdNhQ0frE1aSxB51c8UCACQWdQwMZHMX1gBZgju7FGAlJUIJgOGeEuSCD5akAGHJsYmTDZgv6uvGc/t7eiwswPGXEJIhfhlbTN+8o2sU8VpB2b+WcbuxE8fWDRsH2dw4r/786yOLKy/37BXD8jGkoVVB2ioe7Cy7zAA2TBS3EKi2QQq7BVIpH5n2XPeeAO7ecAwKvGhGsDFdcEtktWZAuzB9Ht4+4+F8wxzffAXXiJjF9pP2SvkeBLxecWo98L89bj3OBxhFlx/eK1wwNqe3f6oEBAeoa7PzgvNXI3OWHw4y/c/+XOJcRv4ivcc4jnucJahR9shYEGCv7eGDbWXddka6sIw24boPAc6ApkKXAC5T/t12/s5PbcuG8fAnQkFSnCTXFSEM7W2K8H5piUcQUiYRWsMyQO5SlwEsUAbDDpzu8UbZ7uhEUt5w/nQY01Vo7xMVURnUaISFbbmVtkv2yrMDzmYa15Q5jHMwJ7gwg34zHAQ4BiW0+jd6bDM1ZM8JJt35SvjPAg5NiUhR3QTVEFqYUWTbDWeYF0SLP4crovNfAlDUTpe0u3Y0IQ2K/uaHX5YDKdQFK2g4UR8/8vT1fzgx7FEPAC/OvZUibcQVgOs9whAIhAGVFMlTY36U5HUBz6ndWHqkvy8HIYMTdr5LlyESUIW3OrxucFZgeM8LM/KhwXhsazTkQW/CioVQpAloRni6bUd8mdoV0uS16uQCjGUWl0vkKgQhpkIai0uG/dS706lyZsolCwQzpwdHh0hyQG1GpIA3FVHE0uHaBCXNkgRaouXmPaFZ2j7a6ow0QzWuOsjl/xXJ4c24O+2e1bb/j0uI5hh1t2fJ1dV62fgoBTWEZsD68DRapCUS5mFCLTg8jA2Zq4luGdgvAtno5pImnu1iuNBydbsZTha4r25ZtvQ4DEMe2n4n3ZRAGwjx4YU6WuDp73eazj0vbfk/n5ly4YFcYWQpnvCwYLbf4bkwt/04ji7eXMZogiTs+AFQRlwzJiuHTFfHb5y0448FFDy74/rgufPY4NOetBTFeXk71XlamOfjeaXtCAKBXm4/jsO0FgClYe/CA60nc4HI028ak0dFLBS5Lc1R0SLznvG5zyeZRY+34uzpa6+O05o2C5vtqo0C9iPo2B1ZvyrTcMmrCdo8QIHeHzVnOZWvTmskc6M69Jsy3FoSKW7pz5yS3QEEL8L4w9NWe7d/33F6ba8EF3bwf7MxRmH9TiXCz3A1z1sUrEPge6Ht8EMjS0att3taROaEyGyvKaJE3aRhL5lodBzq5RRGuC58/MQ80PS/YfyWoY8TdL0fUUbAcR5Rp3KiRhSWJSONcLS++IF4zYM6GimDIlVTqy8q5aWMsAHAyMQzvbxPVk7Ll5ArAc6bX5BgSypE50SGnFmhJT4vlttLGqXc7wEq2OPJdRpsrSgcqPi8UVlFlaUWxnMNaEM9rQ52Tj7Wth+DzYLBc8JbPbmO7dsGGXCF21moMDVl0plVjLRmbLZwXJJsndc/3Drmybuxl5dimiGC5uZqY5x3PGfHMYGO9J9MpPfHf8XlmhYtpQJjICAvF2QW3rKkwZ4THMwBgt+QmNtr3P4BWAYFtCO1dUbhvRakYnirP9gDrX7S8cr96pNxtrnQhQhsvK+S6IqhyD5au36w0m6vzy1ogH594Xrx9zUBaAbVXoExXWYG7X5mys+WeT5+Aw9e+FyRA08ZoCGYuKlHReHUm5Nb+Vh4tUNsmrdVoyoV9Yeyi8LwgXIwaHsNNUCasQDjzmdGcNk2CxVR8PfjkYkmSgcMvWVLm/hcF46eM67sB5y8D0gV49acroMB6F7DcB+y+VYyPnKN5ojPiJXGcGpxOguUTFbCnj1ZSr0ZEEaz3Edc3ESErjr8xtH0kO1EKLHiths5v+/n1dcTyIFhFmBcaiTLXZKjqjojfqz9dIQpc30bkKRFtnWE17xUBgrAAUqh8PJy2MaiD4vz90DQy4sJ3evoJkeS8Z/8NT4LpAxCvinhVjJ8CTtc3CJmlmtJFMb8ClldEZZ0qHmeYnoegPrOW7/wG0EFJbVdg/JioSzAKzj+YoAF4988ENSZo2mjUvYPOPmSAY3ovOPyS+//jT8lYWO843vkOWIWo7xf/H1L0pQLLw0B0+lgxv4v4+LcPbO9FTegSKBOFwfAXE1zYzZ1QDcDp8S3+T//Vf8Rc3Ds767MARbC7CpZ7zrXjnzDCks4Mcqz3wPUL3jt/4J66HqU51mFx51wh139DTm5DI13cKZhR7U5uQ1IUlDmrpCkCdBhjtFwMHlA6UhCB1GCjNC4rsN8BgckCN3l1wIbuuHGlCmRrw5CAwShIvZFhhr5OHvoQGvh+4C8r6uMTRXeOx3YvHew+5RaCaUZSKRtVcF74ftNo4gxmtAePRMpm/K2wUid+6G20PDlfb8pmkOpJpyFYAKD1xbJCT6cN7ZAAcYp1F4RQc2BlNfqy90EupFerQl14KgaoTxU3nOcFOs90DLz+pBvXpzM0Z4Q3r6F3BwbMTABEnvk7d9YwjCxdA5AKrkonwJF/G9vR3937zZ83DihvOC/ihxP7vJhDEiPblyJqumtiCLLmDVnJBfp0AtaFlNqpD2tuzmqdF0BGzoHO+cPKYINME/O8qo+xOTXutJoIVHMgK43TME0UbXPaYqm8J2yvDQGSzFBzrnBP4wQ2KnSvHgrY2EX7uR30RomWnjrch9i1kmYKOvKaybJwtc3tc9sa2jqpy8HVChlHyEgRrobI7oBNAMycc3cS2320Of3qzzEEhwb8xN8bcuy5WbosqMuKsJs2x32eeY/djm3pL3eAPfgQjKqaM4MatQv0+Bh6e4BGv24Bh1Komh0EwYS69HJBXVajQptw137f0dfNuLHSHtGCaNNLlM/mkYhQvTsG1NMZ+ekJYbdDePOa+8rsgmbm7C1cp5CAcNxzjnZt/+yqNHo1lxuWgq7rRuENAdhN0APF0NT3/g59aekk9qd33qhyvX1WZs4Nnbp1b4GHVoPZdB8870xKacJTsHSAhqyKbGODTUn7MxS3OZnxdh4D9u/tXGkK1h5sLKbMbgJGej5zP7X6w+KVA3rH8nLl2rM9aRP0Y1BHxAThurYosLEEvKa2jW+votrOW/8ssKUkxAgNyj04+x5kz/Pgj+X0SdWmWOwl+8Jxz1SO85WU7XEADjt4qSoAplS88pllIN33fDUHi6Wo5HyFPp8QQsRw2N0EBPwc0pyBC4OC8nC/CfyZw+3q3mKCf3KZW9oDRp5Derm0estErql2L73wFECnxhwrFw2rOyrOamFfxHNGeOb5K88c4/KTL5HvRqTzivC83KTv+HiGhc6ljgPqYaCj4mkzl2VLF/KAoNsBPifvDnRExdBJQ+lcs6M5rxc6uXK/25B+X2ctPae0z4ZSoROdeQAUsLTAuVwXtsMEOeMhocbAz1wW6M5KRBZlELkUyPOFqHaZuDZSbO2g4BnfT4UpEHq2ffV8oUN/2LN8Ixh0uAkGdUrjrkweVu4n4dOZY39/QH5zgJSK+ImlKXUc4HXRW36453BaKle45sY2jN5nLdBEG5CCchQ+rY9P0GVFvDvyXZ1hVVmLHKoYvl0RloxyP2F9GBHWiuHbSyvj5kEgdeFTV3s/XYBcUL94hfkLq5vsZ5qxQSRXOre6zYOmM+El8cYB9ThteytwkwvqeY2u3k+RJn6mGoqYFsH+N4rhojh8NSM+XTG/fY35NdV/9z974nL/d14h7wS7DxXThxX5GHH+ItG5nYgIr68q6l1ugqLxSudFFET4Fci7gOWeiOT47YKQK4bvJ6x30nK/g8KqFTCgAFWsR9ZudsFGDXTsGso4kfJ9+Nkj6pjw+NMHzG8o+hW7OsxULedGO5w2WnO8VsxvE57+RkA5kMobFkOJD9rQYCnA9K1gfGQpqHSpyE9MI0IFpk9GtY/R6r6ak+2VGCqdZxdynd+wTZgKzVxJm4DTq4DhrHjzxydIrnj6oyPmVxRn04RG0ALQHPP914r7n6+Y3yR8+qPQ8ooBot11p5g+BLz+rx4BVVx+fIflPnJ+TAXrveD8A6o3jx9J/Z9fMbUqXoHhkejvcGZwYHkgm2H3Hjj8JmO9C3j6CeeF50sHEyOLV+D+53TmfSznd4LlXUE5mR8pDCZoUkhm/nHIQFwqhX//GtfvjuR6Lq0fsi8ik83R7PJoW/mVYfgMTbihI9dKg2AYDDUr7aDjJuQyWyZC4YiDHxxmnIrlfvmBBsCM1mqiCpWOlkdI54XUtIa+bFSzFlXtI+5AozJSBTpR+cuNDqPz3LyXFw/sHXQ3BofUcnqbUdnUqS0q6N/7LqVU719Djm4ord43PUrbELUN5UVl8KJRAZ1q7jlrgOUbJv7MkXIA2O/QylV4vzid1K9xMDQ9NmQGIhvC5IaqK1T2Ed/OiOd4le0ZZly2fFlHaWplbqMbgZVlfMRQf8W4oX1tXDdjszlIpZgxOt06PP087v9fAqkcNiZaFRIqFHHLl3XacYw0To1W11gD31XupTfKe1QXaM6hmKPQfmfBp76ckJbSqGqNpozSUCl3dLzEUI9Ec17VbezGsSGq2uj5EZAbMioavfmlI9dYEnVDll++K2AOUNfvMQLJ1opq59h3Vy3QLDfzZqPn2d/rAu1Piu9AOl39/OXPADPS+AMLMtlc6x3cXqSvf3Zg2YuWy9pfjgp6Dq1uudEymIbAuvJ3Hjzigzl++/3WvxKAYkE4D+z1a0sEGFMbb0f9JCVo1M0pArb9wtuXCzDbPtfTxGGGhL2ndmjkTT8uGyq3KUJ3Ac1sNT4Hmx++Vn2/EENttOJGSbefZ91n+/Yhhtvg0Yu29Q67o59SleeEKlzErN2PnGe0urXW/w1l6anTQNvjdaQDLPNqyHS9PSOsD5uR7SwBv1qQSW/ErgBsDlQwllMfZH2pXeGOt1pQ0PpfjQbfFMo9uAsYM0YRzvPWLnOe2ceR6vP9mVO3fHYGBxLUWBhQpWPg7+k518CG2tt3Wu676raPv1R9765wXq1t5kDau4eZ+2FYLDhSWJdYRKgpEoIhjB6wKcDK7/HfClQwEDPwDCeKXolsOwq/62j/3TjIdeE7l4Jg6CnPXTG7gf+uu4Rw7eaAxdzDasyvEKA7U5jxqRGDvXPcaL3mMNe7PfD62NByr7EbUFkD97A5xVzfsp1h9XaetVJNAfxMKVvqxMNde28FaOs0J77c3kssrcyYEIrtZ7pnQEyHuGmQjMkCUsYEq3QOb0TtTAtFU4A+HPjvqwWVx4GOdcXtPhACwutXXBMpQlYqqYulYDlgUXdkskhRjB82lommAJh+QO9Ia4ymHbbn2hqiqYcbWtuDEoG55mJMMe4XHlytW5+9uA6/VsRRO9o2S/yUnWx0biWLAlaiLu/ZvvC9CfFhoMK0gu+6Z2AzXRVeQi8foymwowlOSQbiRYCaMDwLxg+kmA7nSuXqgYyOkBV3vyoQBZa3I0sYPYgJdgnpryrIe6LnydeYUvlbE+m+ADA885xJF0HeR8QZuP7ovlGcw7qhgFTrVauFLFuN2RStFnLAeghgBQNgfCT1eX4NzPeKkDdBpDqyRJLbBTXxOxDg+iYCb6geHS9b7iwUVH4GWr+FFdj/2tDw57Glbc6vbQ1UOvLxD/aQoliPodF8XVzK6elklMCQW6pdD8/Ycs8FiDMZB1KB0x/eQQr7HAqkZ2D4ZqAoWuG9kpV0y3s6pa00aEUr9TY+KeqZju96FyheZQSL5UsqYE/vA4ZHOvlx5twsyvcbPwpQI6LlUwP+N/u6OdTAZ+J9v+363ZHcZWX4pD/sVJuxohYFxmolbyCkBAIbmtijUH6o+4G8m0gpXi3CGyPgAhpBeCDEyNJBud7UTmyo52WFDAP0zQMPn3nZouKlcrM87PiVpzNR0tUOGMvhbXm65hQ1NBZmiF1nIlKv7lF3I3NQjDUFo1X2RkZDI70EjYsTDYmbZdeXdCw7Zz6YIJQjHhmbwwo0quZnzkEp0OtMI+CwM+cO5rzXViPW8+7kMkMu142CGyKdPTcoh6EZHoq8IQ6HPR3LZW1j1iimjszYuPqY09nc+qch44Z4NQp1Z8Q1w9cFYcQolGr5H02VWxoFqiFMtVKaH6DxmdBESvzQUi+gBkCmHfPOl5Xo/m7HezlS6Mb2d608N8wsyCCSNg0uVSBnOhUNZbN2TZPNmxe5hAFboEjrhhxbMEM1NyMVq917sL4WG+M1b85md7V/aWeYxtC+L2Lfc8fbUfMQGNwIAbhcgAXbOzmroNHGdEO2Veloi0COByCkLRiDzYHEOG7PM6q4BzK8tmr7fFtrdfuZsyskbA6YI7P+ytcZWi4UyjoevtNoQBDIy1opFkxiakJqTjrR4bAZ247YtwfWFlgQc7Ic8W5rVwQC2+vcSc0ZUCLsst9BVblndciexAhEAOOAkF7sJxnW9xaA0c6rFoHuKeAi15Uogxn4L3uj7aE9mudBNA+AOHKYC6B0lhtC7GPl3XG5UozwsOe5gc3JhgUeJYSb1AgPDrUgpz2zIfEWOGnOTowbfdf2EHVUBcXKdei2V/fnmu1HOiRIMFTb0nTE84OzpZj0YmNODfZ9wAOxfk8f7xShBwpzhVyA04LGahAx8bbQgryf5V373lgrqZxtX7plW7T68B5UVSXF12ntXd6ngsEHIq15W7fGDpDd1PpEx+E2zWcatz3YA6T73e0k8nXpbYKdMao8U5e17VMSDnRkfF54MCWMW4DAnfubYNzngVL59AR5M6JOAySvDISXwlcXm/trRj3sUA8DaaLmYLGup2xzPhdEFxHzfksBNUW0fOm1AN98BOYZ8sVb1IdDh7QzJQcA0ke+m8xGaR4SP+vU7FyghwnF6MbRS9cVwnGyZISnCwXeDvwMq0mg2RZ1TKzvm7Uhwuv373B9lzA8V+y+puEScqUY2BhR9wnxtCJ8OgMhoN5NtB6fYOdB56ib+KdOA5lvjwvw+Aw5HrD+8DVjrYunnMHGy1IUAM7vaGUVfe0aaqqWr1zuJqvdXCAXimHWvZcg48QNS7YygaHld3pubXm1R74fkZ4WpPcfef83D+ZU27nhqU4pQh9ek4p9ZimzALAPg6URiaDsE3IAxg9XxF+9B8YB9c09dEzIE6nXrlMCsTEXoO43YVVZKRwWvyGy5mJx5X6HfEwIS0Vqqu4BrdZ3Maq04GZPff0nJyQrgutK7cvbHeY3I7yWLfuKDpjn6a4KLPcRoUQ6UPa49Z4IdTpRkXy9I924mrKwByVCBoZHwQDB+AQcflMRl4rhkdoB5++NWO4Fd3+ZcfiX71HeHPH+373Deiet3FK8BpTBBJ68jq5a3eYKpAvzSdd7Pu/ulxXTx4J8DFj3ATUBn/5oMHo4EdR0tlziq2J8zMj7iPXIeufza6COguEkGD/REQ8ZCFlw+Eqxf5/x/u8MqG9W6HPC/tcRYbWc1ns6fhA648NFUQbg+ScB+aBEqg319Fq96500JWkVYPqkePiLQpGl+4gyAucfANfvaQschFWQj3ELGgOGnjOHeS3sfxhCXAfB9TXrMe/fEzUN9t08mRr0TvD+3yFifPiKJbn237DNnqscVsX4RIbKuh9QRpZTmh67fVaJXIelYn6TcH0TAKUjXAqwvinYf3lGOd9jfKaTOz4xmCNHzqG7a4F+BXhZRdb+rSyvNFeETJE7L73417n+Wzu5xQ7p6/KIIsN2oDp6aXROXc0Jzvn2QBYTlAphc3I1Qi3UIHk2A2mF5oGo1HoFNKKuCkVEWFejuCboksyROVmUPDT0V/MCkRG6WIR1XTbKca0AEtScWsln6DoDNUNrgZTVorOyObl2b5dDJ8XRnNwVqHlByAvborp1sx++dphTdMu5JIy66jKjphEuq06J/CvfPwSrUalEY/rDvBlLnUFWZXMuANK/6wLkZDV+NySuKZmKQD23eL3SGXKxHgmQMN4a/2GAhsHG13NPVygCJNv41MA+UIVmGhNSKnQdAOj2/Gx9UQYTG5Mt/87rF790ckMAJLWxaJcdip+pH5cun/szNCnejOtathyfS37CUME5oSMkG7pR7Z3zwjBZKWj1dZtqsfBddIUqc1rcSG3gTM18/1KgdWVzTQGX1Ghvpzsrdfu7WvAIFkiopUOUFBITkEdAC8ffP6MVkAgpt6wEAIxme9AkRCJjnnLgTq5IWyeQSCXIKtB6gdYMqakb03zb19WM5VqpYh2E30fiZ29qFAuaYFa1XFMENlkiJDPHVfNiCB4Pm61vuneKFjYF36U1qdbWJhFjJtyIIVmgx+/dj4GELbjhN6yF/2vtpRO7sM2Ws8a+U+t6rlOtK7dS738RvisETSGk5s+Q6oawexBJIii8FyDS0bRVoXWB1rX14Vo3Lf7L+oghFBNwWrimxebWyznS9nqnK4cWAGy/WzPfa/WkncT55oFDH1/A9gbWNtXRDDMP8OSFOXFxYiBAK3MsVbkHqTl9xijRfDHnKN0iehqg60CDLxNZ0zVD00RnxHPWX1CZVbc9DOuKvu4x/CxR3fLpl2VjMPXOpnKf01xuUcYYAOHZVhEQ1zOQz9uaE9tPNUARiRxr5+T26Lr/7CWS267YxtP7DfkM5LlbH4C5uBCZub7WzLW5TQBInHhuw5goeYWuV45xnFjeJkagWOCplluhteyK18natc1T5GVLCwGZRXUBVMTOxC79KHhKjbKf+nPRGCw3+/n8iDQn1DgiLCtkvQI1ogZSUcUqP+g8o0RLoVoLUAXLnJGFqQFpebZ0idtgiGqEqgAFREuXDKyfoCUj5AFlLWhEIVOVBoC0XLZztFYAA+qSrYLCyqB92iFfB8QlI+ZnBrmWhJJGxOuCsF6gYUS+cl2n9QmSF+hSUIcRVSMqIiQrynIBcsZ1AeY5oVwLsJoadwmtVJNGQVoWhOUMhIi6MJAe8xM0X4gGO5DhqusyQpMgrBdgOUGmgmUW5lJb7V0vz8S1Z2kLGoASUBPbGnJBWFaqMs8DtDujw5Ib8lxDuqkaENbte54i05zcecE6jhjWFWl94ll+VSiGbQ/NZsdKQC0LoGI258JxSUxDq5n7Xa1EM+syIyyPEE2oi6JqQEVCrQFxLmxDsDHvAyO+FcwZcX7kz8IMLQllmLEm5rUmD6xZIMuD9yoJVRLWus3z6+kDhmSBJXMSl2mH5XFENnElR3Nhpq0jiCEDLmxWAyDPiuu80tEoRLHXELEi0BHNdE6ymfztnZ6A9EQacL0UQIH5PGANgus5I14/olxXzOeMRQTrqCirYnkMGE66lWtSoF4r4lqRT3zuooJ1r5AiWJ4r5JSRa0RZiVKue4GTJqGAXhR1VpRrRb1UlCpYnhJyFppuo6KcBXpmvutqyOf6WCGnguXTgPJxBp4T1k8RITOTSkcAJwBnop1lUdJvnwJqVdQnQT3ByrCxXxZIE4qCAPKkSM+sGJGVDv56EKxSIea8yiqoZzRk17fQmknnrWfcCO/VhYi1qzr3ec1lESpmZ8ESARQGAcq1otSAMjtKLKiL4nouiGvF+jxgFQFOCjnV1n4oUC4c53lKWEY6uSEDZQXyx4IcL8iPBcszUOYKPfM8yBqgfSmrCP67AvrMGtVhofBgnSKyBqyZ87y8sIVeXqI9lPFXXPM8Y563xfNP/+k/xd//+3//r/PV31+/v35//f76/fX76/fX76/fX7+/fn/9/vr99fvrX8v1T/7JP8Hf+3t/77f+/q+N5P7Df/gP8Z/+p//pZz//D3/6P0OcjlZ6wiLhQCtc7TVYZckb5bTL19U+R9Ci3V60HCKQeQZMidDzYNUos7KuwJJZTsfojGLiRVvug1G7jJIGYBNBcv/e22RRfZRCAZBp3NoCbKqgfbT8BtUU6MMd6nGkMMPjM5+737G9TydS8moh7XW3A75826kjV7iwBLqIKFIk338cbuoctj4U1vW7iV7Xyr7oaVtD2ijC9nPd8Z7h6Qp8+MSvWx1IPR6YX1y00Q4bNdgoc/XhiPXVhHRaEH/1LVErF1ZwOnNPY/ccq56m52jtdb5tb4qbUI59Rw8TdAiQmWIYUgrU1KRlZ/WLe3qh08yfTkRgpgmYBs6FNh+8xvGIf/Xxn+DPv/nPPpvn/6O3/xMkSRs6ogrEBDlybPXpRBVlp9EGQcvTE0P/8sJxTwnYWXT1ZRRKdaOG70lPxJKNBokNPexFZwC2JcVb5N7/fcOwKDbP16ZEvJU4MmTEKXDD0BCj9jyj3Oq6tnY2mrVfORvF0pE6ozWKtLy+Vie3vwrRz7CfINOuUbkhm0AOBZAMHTRqrLdTxtT2IV1e0KqN9uZCU/B7A10uduho1b6+rA8Xo0729GgXzjqfUC9XSNzo/DIa46FaPeOUgNiJ3AG8p/2ufd5RzXnhe/Z96HndPnbjBJlua0v6/oI0QsbEebPMbY5AAmQa8K+e/yn+7NN/gZfXf/jj/ylS2n2Wd/wSDWSuaGl7JgWxho2m7MjmmiEpor57hTpGqrGeLhu9vtsTdL9jaorvMz1r4+Xl+4vvfT3Lwy97hopQ9Oh83tZlStAv3kD3ibRNq4vacoKHZKwfQ82nkQJCStEd14cAYAgyxUV0z3GUy8L9NxgVuhTAVe93I/efbl1Kzvjscpq/j0W/93jaRd8Xnlfsl9NYL2QZ+f6I/qwwFLS+vjMtCe6rzD21HOJ52dJlvM0pGppkY+fntSui+zkdwmdz58YGGInMyXWmOE+KPC+7fUyWBTBRJG15sYmI63Xl76NVZgBu0oL+9Nv/HH/2/h9/1rX/w7/zv0QcSIknrdXGRpgrOf/oFZaHhN2HBcM3FJzSIVptWdLjmf+6CUGpCHRPsSbeC/AKAJIr4scTsGaU773C8mpCurCGrtshKoJyx/q6fam9aNUaGqqaQivJ5+hfyGp5egn5GJDOFdP7K+8tLOmmKTS14ZAp0uY1jdPTjHC6ou53KA8T6/4mIqbpxHIvTq5CAfOLAZavGYi2ysr83Xw3AgqMX5+Y7uQVKvp53Wu2WG5t2TONID5em3CYxgjY+0pVhMcL55yP8Ths456tysa8QJcMuT+g3jPvNlyum40JoB72qMeBascDxyvMvUgdNip1rQgnfr++ukM+DlSc/kgRJl97tCmkUcBv5rnljNcxsX5yrgiPFB9zm2Zb2+i0bmxO+th1fej50flhhz/99f8LP/+Lf/TZPP/D/9V/gt28R7pooxT3BCUviTN9AnbfVmgA8p55mHe/WjE8LvjZ//iI/87/4M/xy6cHfPzz10ingOMvgPFZsdwTbYwLhZukoOVZXr4MmB+IDOtApHH8RATy8kPF+qpg/Cbi+Etri+WDTp+Yt5vOFcNzxvJqwKc/TCh7UnM1KnZfCw6/KSxJNPK9Ll8K6qS4/zPg1Z9f8fTjHb79uwqo4PArQboqljtB2VM0aXxS5L3g+d8q0Klg+HrA8CTYfaO4+xUrfVzfsFRnyHynPAnyTpAuisNvMsoU8Jt/P6D+8ApV1vqO70e8+pekLE8fMuJS8enfmvD8BxuVWwNYNigwdznOwPioOP66IO8Cnn4SUCZYyScbp1Ehi2D6iCYW1pfMzDtgfUPU9/7PgOlDbYjv9V3Ap7/F7735Y2D6UPD004TL9xVhFoyPJIpdflhRp4rxm2T0aqNYL8DuA32mb/5uwvyjBcM3A46/MFTZ2knlbODuLy5I//JnwJdf4MO/9441gR8EZQD27xX7ryuWh4Cnnwh0VGTri/2vA/a/UcxvBKcfV4QMHH9GRP8mX0qBslzxX/5f/rf4W3/rb3027/vrvzWS+/j4iJ/85Cf4B3/4HyPBFFSnwQ4hdy7RksTl6nkvncHcWrEdnG3Dein68tJ4Aajsd7lA9nvonWWfvxD0aMqF7jSq0nnt61t6zifQlO9au5xKbTlVzSk348wFOPSwa0IWENvovFSNCUmF04Xqx8vKnKYhQe7vmIMypEav7sWaAGziTJ0IixeT9+81Fb4500B0AwloYiafHS5mQGnc2utKrwCgu4mGznWmsmRKZpRIozx4zlJYCssDNIpibe3WcUB92AMVCPO65Sib8bbVTTZ+vquAWq7XzRzx8fd/57IpVXoQpOtPHTpBGD+0VFGnAeU4QIeA9Zha7sK8K9h/teDhjz+hXE/4R3/6fwAA/IM/+J9Tgt9UmxE8V9Xyni4c2z53Uvqaop672PKLunEQaY5XUycO0kpgvTTy25I1JWCUQiGv3Y73yPmz9fJSgKWVl+mdP2u/O3HujLZL7HchYFMklk0YreVmrht91uewO/Pftd10DuNNe/t39hzb3hF1Cv3kDmXd8mxfiFqJz43+nfpneF6tB8eaE9BT5O35vj94P7uY1JpR5xniTq47csFy0j0YYArXmwjWi/2wvbTeON8tD9uDEPsdlUnXTJXVfk6Z8adDgu4H1CFgfRhRJop4LEPB4edn7P75L5DzGf/o4/8ZAPAP/uh/gaQmbDcOvH+t3Odg+6MHNN2Z6R1tb7crRvflhbp8dyQrCVdZBkVyYR7hELc9DKDz4uq77tj5vtWUr8vnivv2Pd/r5bLw/KnbWtT7w1bGpMKca9vPh7TtMzAHYYgUyHm+cP/djdAx0SC1AEg98PwLl3VTxLc+cZ0A3Y+8l+dqAs2Z7/OcWz6r74G2ZttnxOupdnPZym/0wc/wfL0NAiTLS86FmhAi7At/ly64CqAFPKTvXx9nE4BSL5PXX10JHw8Y+DkLkXZ+tSDAd9Gsfb/s/x0DlYdDYO7qdYXuR+SHHeoQUPYBdRAsdwHLWLD/5Yy7P/4N8nLB//NX/0cAwH/07/2vMX1coU/PXFeuwn/c0+F6GFGmiPHDjPjNI3QcUN4ctv42R6jVeFdSNdeHkbl8M2mVkrXVM5WZ+Yh1TCZwZDoRzYEGA+Xm1JQpIK4V6YPRgfcMSGvoSoZVhddyhbLOrg5he27R7czbD6hThKy1iTXdBKArUPcJ6/1gJU4KUBTxyjI6GkKXhyrNiW9zw84Tb1s8LZxPPu691oatYx1TE4yic1gRzlfucdN4o2ehIbAUoAid3XmBTiPqccd5/nQxACJbUGeiPWpl2txZZLDGbjtEFAsqxCvLOHruat8vtE3QKOa+R+mQUN7eUT34eaaIldtnQ0J92JNqbn1Y9wPKjsBBPM2kY+6SpYfYflAZRNQQuHenAB0Dagqkjg6c3+uRDt71nWA+rNj9quD1n8yo8xX/+D/73wMA/ub/5n+H8r0RdV8xfIzYfU0RKRcqGk6KOPPv8bFgvY94/MPQnGENwPKmQl+vwClh95cR8Qoc/7JiOCsubwOW1xQFigsDMfkAaALLvZhQ0frAfkxnPp9KyErF5TNQR2B+Q0fm7s+B3QfF9Q3fLWSWuRFV5ANFospIanE60ynVAJx/KCZsJJg+KK7vBOc/XCFzwJv/MmD6RKc272AUaLD/vgDqQDEpF1kKK6xUDsyP4Z/dezqiZQyYHwR5Lzj9RJEfCnZfJey/4jt4/fJ0peOf98x99dxaUd0cwxmIK1WLL99jX04fSDFe7yjCtbxSrG8zUATDY6TT+Y0gndRKr3FM84GBgvGZok7Tp4Lx2yvy/YjTDwery7uVHWo5wb6teUw9b+8cVliZIKpDP/9Ukd9l7H4+4O0fV9RIVWUAOHxdMTzmRoue3wz4+DcjgxMDUCNLJoVsAbo+M0aBdGV/LPfA5QcszXX8eUC6KK5fCJZXit17wcOfV5TrBf/F//U/wadPn/Dw8IDfdv21kdxpmjC5oNHLa7Z8qXTPZPoWaRSEOW+10twQqS/yl3oD0FWLXf3Vara1jQbYnJX+nm5gJ2zRf3N8vOSES8bX445KdVWBlblRXoeTUbVIEavC0jqyZuYqjKz3p3bvcBFGmIN8t+FiRlgrah1ZWkJqhWbb7OcFUnjQ6yCQap91J9ANwsgSRM1IUIUoC4lDFEihbZRe0/JGzGoamhCDupiWGRCSLdp7mHgodvUnm7rm+UIhpOPe8h9LQ539MFXLQWvq1Ga0iAnDIAK6Bp6NIQAvEsc1bqJD0hs8nYPmBp5O44aa9Ord0M2gNsNUBdCB+TNhzuT122FeJ8H5i4iyE1y+BJbXATIe8OYX5bZ9KQKueBhxKyzjc9GdmhhNBXYzwlHMoHMlaiub4oh4Q3SAbe67AMYLB7U5gGIiQvpCvdiRSFerdIPfnS3AHNO+8zvj1Qw+uVxZ7qgFFW6dWWFjbuZpm5vI2+8KmQuberOtDastfHMP6wfNeVPfVmVudylWJ7cz+vs61rYPfYbKftclsuVr95/pAym+j7Q+8IBLQF8aSsaBgbbrzDIxJqwliMBg6K47FsWcbNXO8ZYNQXSH15zjmwCFty2lVm5Np2GrDdqted2xbEs5DFhejSi7gMsXAWVijbqyC0h6j/s/3t3kWWoIwGI1hJ05kuWmbirrRLpxnlAPFP6hgbY57LIKWTg5G8KskCNLhuiYUPaswRvXspX+aeioGcytNFu9DY69RAd7Y92dP1fC9UBXvA0iwksywQJt/blhed9IYUMvK9DEnvz9PVjqzrcFOTWYgrHfS4SsmRBQnT0jWw1Uqt3qls/oStyG/tCJsDaoQtZOWM/Xgr0HRRlpFIccoOa4iuV0wkSiIFspHniOcM+ksf7WgQgVrC7nzfkr5ukYwuj7LorV8G1rTbYyeaFbe+C9nFkjXWDEax070tdsgA7RDJWBh7ofsN4nlClgfkUj/fpOkO8EqSakPx6ALidXRaDnC8o37xGOR4SHe0OKE22YaqJGS7aa0ZHOxhCsjAnMOLRzDaDS6yGgjAEDzDB01og7MwBthBNzRf3crmNsgkyhFJRIBpxm3RzFMdl5v9V+DUtuThEAxHVjGDRGU67NCW1Kw+68GWOlTgm6ixTVGqkQHM9EfL1Grdds1RhQJoomhZkMCA22LyhM80INfQwIa25BIPG12a3PMsWtr73MYn+u+pqdBpTdDpoEcjXHOcUNBTUHF37OWEBIw8D3s/Fj0MwcfVt7bZ4GoU5Cf6JGQJPVFTbhqVYpIgSUw4CaxJz6vO1DQZCPDDoN5sC3taBoc1otaMDyhrfMLndwXeysjIGO2kSHqOyB6/czhjczrtMR+s0AnLqDXYH6ZsXbL57wrb7G/tepBSYAKu6Ozyx9k04Z+RCQD8B6VJQvFgy7jPppQvr1iHgVDE903IYLy+yEEtpaoAMOzG+pWrz/WpCeiCCzn4Fq6GRcADkzUFJHc4Tf8N3LLgGimN8Krn97hnwcMH0g2unqzfNrRfnBgvwtf8f7K2pSrA9Ehdd7hewL0dUZGJ8LQgmIs1hfAlIUw5MLytE5zwdFmdTAOjqtKHSAx08B0/sVy+sBjz8luqwCyCLYfQ28/Rcz5jcDHv9GpDO+N/R2BoZnC0iZ8zg+U4xLsiJkxfxqxOVHGeEccPdLwfhsIksTc3fT/QpVwRqAcA3YfS0Yzoq40qHVCNRHq8NsitLxWhC/fUY8jYiXHdb7Ad/83RHLG0U8C9KVAYOyp9M9PArCynFqDjCbjXzgPevICRRWYHgqqJNgfh1N3KtieF4xv5lwfRux3gnWB0Ud0ebdeqiooyJcA8ZPYorY7BMPLLS6v/B9lo5++cGM9bpDnCvk/FvAgRfX76yuTKpGhJQRmiKLtRdB0NScKI0s7aLTYJFHEzbyzdgNl5si8579vkWRm0EgYhLuqak7NtSUN97+uGowtkNT1oLg9zMKpyMVrEfqhpKLSbD+HinXeXuOH+KVv2vlEFRvEGvpI9wh0EiddPs3YNE/RsaxrBQcMiSwHVa1sk5hSq22nKyZxoMOaIoBVgIIQDMOG/rslxliLTKZK+RqCMELpF2HRLXZlJoac2v7mhGuy1ZHMgYrIbQ9T2NoB8pnV0+9bg5G2NChl+I0Pj5Bbo3q3slqznsFykqfxJRuVYC6Sw2NluIGATf8OAdMH7UVgW+Xj7UjtX09XVUgRzMKTeTG5o4GgehmlLfDsf++38MZA8ki247s9p8Bbim348C6sOriPnY5VfoFuNLG7QXyJqobylYrFbv9fXun0dtRN2Xgz/qoRwh8HVr9a6wsLyTxRcP6Oef37d/T1IolWikgu1yZE4AFXpSUMUdcUo+8mMPaFJ7tmb0Cr9/XjBFtzq45WSnd1tstdaPoBmFN0Zu+ltuxt4CcAI3pINlqJ7/43k3ffgeix4CSsx46h6AhzTTk4sz3HE6MEkMFxeT/G0Lu710rIHELJLjC6H6rvyhWr1GDrbPVQtL9evU5YHtCo2Q6Y8WRoF5dOW2IS1NVd/ZPP35uw3VrX32c2822/pGlQ+5T3Gy8tKU2iG5OtVS1IJsh5inC622IalPxRalEbLsgqz8reF3MxpYJbZ3JavVSl9zQXvE2fwdSGvoa9MBWF7Oqobbd3gdYSbWC5H1wXbY54ykadduHGqLqIpB+bhnyLLVSCLCvXuCKxbDze80I80o2l4xt/5diKu/FAzRxC0L42BnifMPC8rnkNFARIJijD2x9WMxxyxXxas7nQwCEqICoIF2/2xiS/Q7x9SvI8Qi9O1haEOdl2ZuCcpkwrHcMYCuA1dD0UvkOYk5K4l4RVv4urIqwVnh9WxVT0w3C+rA2Z33eylo2xf0YWC/000LkdzdCpgFlb6lf7uCuhZRVR/59zxKejcHYEHrcoSaW2gnXlQH1qUvrAZFgua5su6keh9yVd/I1UhhAjf0e7/tA91kEQR2GjU7t72w0cy9BfXMOeQrVYdeCKxojxEGCgQ54HQLC3Qin8rYSQnd7tLqxpUAPO9QdP+fzpbiTa/Mba0F63tp9U7ox2/q2Z1PZWViPNgWCHim0NVj3A6Db/t9QdwHL5QAoU6RScK+xFoQO1WKVRmIwZeqI9RXZN+lChCwOAXEJSBP3lLITAAnL9YDjN4LxMaNet6BlXID0pxPOfzFhCorrF0TShieidesRKFPA+CRt7U3vgXQSLPOIMo3YPQvSiVs8BMg7wen7AVID0eQdUdvhqpAqSCfWbY1XOkIs3cMxjDNamaJ6p4gzS+uEBYgn2mcageVIx3T4+Ui14ydSb5dXRGLjLMBvRqSzNF3PkHkfF9CSCuhzQrwE1BFUUfZtpxK5dQdKAzB9BMKiyEfBci+og7J/RTE8BwRzsh//aMeSPCdFXPjwMtHZXx4S1j0VoaF0bMPqyKhSDOvgTMhA9NhQzzIJZGE93oZsXgCAgYLrfiLl+1lMZRk4jQHprBhO/k62lEY6pNd3AzS+tbkNrp0ViGdSzCUDUYHg+7MFHQA0Bec6sC/jFSZSFlA/BAwnYH5jdcXtPD9/kTA/ROSdNNQ9zGjljDQo3alBIWci41LoQJcd39npz3GWhnaLsjRU+TgiZGB+iNDxu4zbz6/f3cndj6hh3IydeYHYoaNOF3WqF0aOndii7uqZAV10GF10DWgR9GZET4aQTkQtxOnGvom6keRI6elCB+1uz5+tGcEPPoti64lFmVjMvBKZHSOgoeXMhsezlSzq0GZHPC/z9nPP5XKDYEiNeqzRS5/Yaiu37ZA1Q69X0kJHQ2JtM3dEVQ57YLzj9x5PLMauewAjnYGdUQyN9oMyAKXLJ3UH11GHKBZdvrTf3xw+49DymeEHnbVfni/Q8xmy26G+e9gi+cAWRABojPfBB3+naqUDVDfDp6+H+HK+DWJ90SHW/k59uQ8zjB1NcPphud9ZpNDoFx6pE1JE0lWx/6aQQullpADmeLqC6DDclj8qFRICNKWtFqo5uK1dQFMR1yG1uoNy3fLDNWc6F06vL6WPJ7MdngNnBkx4e4De7SHPF+Dpic7oaHmz7kC0fNsKhOF2ffR53O4Yu+qx6i2a2BrRORzSGTtNKXwLVjhiKo7orpnvGSOAYbtf926NCg40WrU6LXuVDVkFzwJYHc/Wxm4MPDqPZbV7lY3SbDmTEgMkTbeOtjsDHoibF0BtPXsNV5GNhl2svM39vY0PKfTiOec2V1r/GAKtiX1zM859gMBzX0VaKgfZHOZw+J7orBGn2VaF1AwEIF4iwmoKqaMgz1RVHD8xd/qm9nGtQDQ0OEgrCVSPVifz6QrxoJY7iNd1M8wc2QSdVkzD9i7m0CCg5Zj1l8ZIKl9VYD8gXlbg4yPLkE1Tq4Htc8aDUDqNm26B00B9XZ2vtp9PZH7UbWwbU8MDk9aPWra9swWaHAELRGQhAjldmes72V6tajoBFfp0YkrKNEEOO/bHwHYHK5WCNTd2UV8Ts997ZVmhzyf+/35vaSfmsHYpJ3Wk8xCuebuv5TW3sm3G0PBnIwTUw84QOpuj6+ZEcw4FIA9AYltk3vJ1b9p5XaDzAik7SENda2PYtL7r00/6d80dtd3HeUgdvVRaXjAAIpjYbAnJFel5gdQBolTbT2dFOgHDs/XXTdBIWKYqRdTdhHK/sdQ0CNZjxHrY9vDmWHrw1PcsobORd+xXL28SlrKhoNXOB6Ocsp57MEcw0EE/rQwmjAl1CIjnFXK6AkPC+vYAHQKqOVPxUhAXMsbkTCq6jgOBhOBpYgX45luyeO4PKPsBw9fPwLefIK/vsd69Yt6trYHx44zwPPP+tlZvShkGmI1CtlErg7NLqD2C29ZyQD4m1ERnPhra6md8uLLkoNdqbYyHEFDvd62kEgCEbN8dE/LOahQ/jAi7hHheEZ+ohVHu6RyHM2nS5X6H9fWEOBek9xfIoih7oq5h5roPa4E8c38tx7GxPhRCernbRIcd7dho+cOHEcsrr+Vt+ZqHAWHa2u3BD4BOrgZB2ZEeLaqtDJWrjccT2XqaItu5Y3mevBPc/7xgeH8i6m9MkHgdUEdBOkWsdwGH31QM315RlmtrQ7wAb/80Y/+XF3zz37vDt//BCjlHTB8i4lWxvCaCWUZBKKQk3P2qsMTNkYyIdFWkS8V6CLi+E9QRuHwf0AQLNAFJ6ZQChupHrr+4kA4dZzpzXvt0fqtY32QMH1hHVxQYPlnQKALrA6m4+98AcamYPmZoEpz+IKDsnabc1e+NgKywuUtEVzIwfIyIC99xftiowShANGYDzMndf11x+PWC67sBp++T3be85md2vwGmx4rLu4CPf5u064e/sEBbDkZFVsyvIvLO+qYwz3Z8qi13do4R+Q4AzAHMaA5iPgDxGqyvaBOOzxXjCQglQGpkLdlHesCnHwHrQ8XwKWD3LZ3j8Ymwa94RWc/7gMsXI+LM9mtgzjSkcyBnjpEm4PqW7YoLrAQRkV7JwHRmbu7+a1Kk14Pg8oUHtfl+pz8QK6Vk23xmsBEwhDYJsigwFUiJrJFcgY9/KyHvDeFfiHbHKyB5a+fwBEgOCJksnTK/CGz/lut3dnJ7R69dHlkXsY1BGIHNFmnsNjAAFqFFy2floWa3Kn5QoBm2N3lMgbVeXWChUU4MpXyZ2+dOqDra5xS41B2+AA21taKndN4k/nukOfn72sHco0/u5PTUYKfE+XP80Lci7WJ1f/lAc3wBPqtDexoCEUMT5WFfSmcwmbNZdaMA9ZcbP1lvjQA3QGo1ipxun69c2KovPg+wPl6PxvfGG29wg57cUAt9LABoqF1f1s547wIjqixTUetGt3xBg+sdzOacg/PMBT1EI9IlWtRMkWYldeq35Y77WE2Jhtyycl5EHlzohM5uENMgvg/c/rx3/PtxeYG688ebcymeB6rfMbZVtyogN+3vfljq57836prXJnQ005/dnLp+rnl7W9N1ozE7K8ANaHd4x7GN0w1SLVvES1+0T7yms1PtATRRrJdXj4rHuDkxL9HSNlaOFIUbp/UGmez7z+fFy3Hq+kJSsiBBuF0/bswBWzCj/5lTXPt+9f6u3bpwR7//rP8Otw5EyJXVtJYKqVbXUflz3v7F3LMAkYhAxxd7LnC7przN8MNauJ8X2Lp1Sjj3aKJBIMrsSFHlviiVP+v7S1wAyVNaOue6XcY8oC6ccAr168r3Xn8HX0+wM8IDqP19PTDR0+hfnD+uS9D2Q++fQLRHga2uOHCbU+zt8L4bpNunzSmylJ82tqF7H2hzINmGCha5zHRERcgWUd1SPzw1wseu1vY9xYs9t79+2zzv56el4rAk4Ivf1cqSdS/Oi4bKB9z2cT/fC+fTDa3c3xfb9zZdB6PudWMZst7uG3afFnj3OWrdynzUCta8VKIfpUIWOz/S5rBpokHX5oL6PEc7U3VMjZLKBqEF8Rv6mVgeUK0NKtQ60O6sCEWN+bSdTY1VMCRDGsnk0CEi3N1tZ3PtxsTHTqWVIaGtFjvn3UsHBTr2KuYUbulSEAEcTbF+a1epCGuFCp34Zkv5GES30WxcgzBYFcDnoGx2oCpRUUexi/etjYHbBN7uMTVndLOFwLSQDslrebb9pR2jKW2aIE1YTRVanQW2rX8f982OtTEsdDrCUhDWCtZENhGtld+vA23EOkQEC9ZRrIxBd9LeTdzNWCE+T6CWC3uh8yYv1inzbwXFaibjGhCu5jgoWEVy0MZEUAEFjQLpvKQasw1xVaQLUKpAjnSKvA18D7RcV3c+yyCoozQRpXiBoYKC+hwRr9yvve6tr8GaABkEZccbabA+SmhiWf7HabWe3wqV9m5lp9BAgaywF+zek2rt5YXqyM9pAJY7Qcikl+8+VpbvuRMgcZ+qic67O6w1cXxDUei6PbMmaRXFarL3H9j24rG0SnszZGB5IKLe8phXoEyC9YURF6w64noUc8wp5qWR34+RbETp1qJGOq0qZi/7vDBqcB3Y78NFWTd3T7o2HjlHoGg5ylI4D+PCP3kXYRVfERbO/2iIfTUKdFiAamg1FA2h1ccB8SrIOwY28o6fj4sgXm0egG3MB6COW91cMiM+N89/2/U7O7lyniGpO5iMVlcP4yaQYM5mqIBOkXkKYqp9TiUL3LDqniJNThsaPlkyf5AmUCGPJyI790fobuLG4yIZtuG5Kp/k2miB7TC0SDyyoSQlNvqkRxpb1NoFUtxgHdKWC9UZHe7Uh8czkYeUNsqt0xut4Pz2ncgc4E7QAQDzeKq24ujtYFhXy9NKzTBwFOPGuQN/16jXxfKxHOEyY1OrQEypFrVu7XRD3dFoO/CkVKKntbK//ADd7/n9j4+GZh23Z9ufJpTVU7fV6HaHieP06XlDT2o1VHuGjCP03YPRleKWWytUMdXnE/vr7gidsBmmKTIaXYHwfGGUNLKQ9PBpxfCrD9AUcYc3yPuIsFSErEhPM9/7hfIxFXIjdD+h3O+YT/hIAxsu7uVjG8NGzfOAz5isJiw2g9KN6T5Y0eX1NOcyBFMNXvnv/Y5G0LoC1yvPmX4O9A6ddsa1PVevRqecJsg0QmslOhysHQ2F5XOxrFDt6IQpbTmHL8WeXPgmey5WaIJVctgzgu8IZT/fhgGQSNrxuqBRpEWYi9vnaQQTwXIRJqeGAvxZKfx+U+eurV9an+4mIMQN4Vrz9h6uruzvGawvtDYUvbXfhaH8ZyEA08hndEIoLfjl88kR3DWz9iuApubsRrOvbZEtH9/oeM3pM7VsD0woyIRwUSWZV8Q10OiMgrRPzIM7vdhfAN5roYiaPNxD7/dksXx8Zt8ddtD9SOGVZbW90Obni8CKr1coEC8r1OmupUAWQZxphDqaKZel5RQ25G6/o4CMC1714ntOiTUmCMYBELMikrFwACCZozevW1tFiDJbPrTMhkb7mm0CiNscbNoOfv6M4+eMHHdaH478judt183ZbOeHCeupBX4lV4TffKCY4ts3PD8svxFRmoBgox970KALxMjjM+rTM8LbNyhfvKKxfFlug02uTwFsaT57qhaLzUUJwfpTiMS2MSXS3kTHvL92E9eTatMbaMHL68JcyWnk54AWsGnVC4YuFcb3g3mFYG2iVg2pN2eC+6dsucD2vN371Yy7AE1AumRzVrYNRMeAPI0bitgZ66iK6ZsrBXIOCesxQbMgrRUKqitXo6562kuc65byYe8hpaJOCfmO9k7IagY8g+MhV4S5UFX5YOKUS+FZmALq3dTspyaMZOJVUOa8lnfHW0aEncl1SsDDjs7UnBHPfm4bKFAU0gUINQpz600MS4eIfD+iJsHwbOft9Qp8+wlNBC9FBKPsiipR2ao31OtwDYhPM8Lpwvz9484cvXiz77CfRoS1Yvj23PKgnVpd9pyL6boFYl2gq5oDJ8p1uL6aUEbudyHTWaTCM1pfhZWCdwgUxkSUFpjQGFDHACABrw63e3auCBbkGj1Ib3TjBhaEgDIyV9xzltO3J8j5Cnl1BxQbl0sGouD65R5lH1DmhHBk1QVZC+JacPxFboBPPZApUycXHzMb+UzHbXguW6DR21uBy7uA65sJZRLsf5kQVzpYVracOag7Kt+WSXB9S7qxBti8BcYnYDhXDGcgTxRFW4XpXqLmJL6ioFAyleU6ktq8vAbm7xXILBhOAeGq2H8F7L/yqBKdn/QtAKFKcj6Q0jyLYHgGhgsd+2xOGCm+dJ6XV1QUPnwlGJ7piKdLxfw64PQHFKOaf7gCURH+2YjjX1ash4TzD+w9I0GBx78JPErAqz8BvvzP32N9d8T1iz3WgU5kTeasmxO+PEhzAIdFm9NYJyAfGfiYX5PKvN7xnbxubLoCd7/MSJeCr/6DHc5/tCJ9TDj8pQBKRBUidHoLgErq83oveP63MjAohvcJ04eA9V5x+XFG+hix+9b3GWkU6LwDcBQsr6yfzwyMzG+Ytxx+Ldj/ZsHyOuHrHyjuvv+M858/IPya1ObxEQgrAy5hVQyninTJWO6YLxzWzWEfTuzL5x8L1ncZMhsC7eJVGdj/2ijZATj9kCrSlx8W6L5i+jDg+JuCy9uA+S0sx5pzJD0J6ekRWHdA+euxlf81OLmlkNQNoMnBJ9JyPD8Evu4Co1vVnWLB5hQII6T++U3tqzPOAwxZrC36r9iinjeX/7OL5DfnTkLbmBvi0EfugQ2h7iOg3p7OYXDUsi+5oUY18Eh9o1S9RBf8+0ZD8s1ye1d7rht2ANCjtkCHOHTv6e1oCozduwQLsVWjkLmD23/eo8v+nZ4m+PLqn1sst9Db0Au5KDcmNcNkm0DWB/Iiv9O//6L/m0FiaH17B1PBlarQPqQswnfuN3/lYewoeZgLogij9flFbtHL9/QxTZzQGgIkGpLToxChQ7RFGptBXrbN55Ib3i+EZG4+6z83AQ93fDcDW757nCR8/rNSSBvu80v9/j4nXgZOgM/RUOAWjf2u6yUiaaj3d34rBACWWxsqbpKKO/q1dP1MZ/wFquvf78sIwZvR7ymbUdq+p50D/rI8kn+m/w45sLgRAGsIzEb9bKrOHiByJO7lWLf7V26Esr33Derb70+lEDX5LtStAk3ULAtCDC2PkXOwR6vN8AC2fMiKDQmKm8qw9gG7FtwRiHqe1MbSUNlYMGI50ZtKeL3ZJxxFZhDM2mbnivRBIN93nDGgaUO7+z+tHywM3Pdn/I710voBt59zRtJ3BCxukHTfI6K0XFsVc3L7+3b9xv3itgmtz2LYxui79kjRLZ/x5qwIPIuCoEuO5Jnn3/X2Oqpqc+mm/2728G5+9e/ve1guDdVszCxrl3zH3nHzrv27vexbc7S1Uby6dVsBL28jCsS1trx9NQSy7cf9M1Pn8LW0IZj+hzHILLWlnfv2/6Tb2zsWPrtb/a2NRJ/s59nsD5jt42MQBTXyfsEQIfZf2ILudi633PYe1XPRMu8H609WgmBusJdigwUwpVietWyfRwQEPIvdJmv97KlHWpvNtM2N7x5TsTGXbn27ajDTAHwgAFK3eaa6uJvPf0XcUqBc/Th175oCx20tG5oceM/myLfAMtpnxBlP3Tz1zzI31AIohtRyHprdEKWlgACB7/Jy3zU7w9OUnDkhHXPFUcf+2e2qgKwr7aZdYoDf0kjanLL3oGrv5wMhRaETiEAKnQzJZl+rtdHyMV04qo4bOgqgIZeOxIXi/dGNH9CQVVE6ZiUYiniTf8y5lmbmqtYBzXEMDRkXmxPmgEYioY0C6/HqSCdIk30v0+GKM5FGR0XrCDq4Ize+aMJxdQTRUOU9ywTUkfmvcl0geX/7bvYeYZFWBgiR+4sCzW/RYG1Xc3qzIZsTiHhWjktYje0QAJmKnbU2FoZWQwAtRKjDzP5HVMjAdxBPvx6qCbB1Nq6Pj3z+74aCG4rtKu2IiiEW9rt9L6y6qS37NtnZ0u0ZsgXyxBg4GvSzZ4eV5ZvKjrm41ZS20T2zlSWK3s96ExS7WTP/DdfvTlfOBZIYVawPe8xvpy3KBDtAqjYFX4AdoaLIhwTZJ5RdQN6xttvuqzNEFeXA8i7lOCDfjwhLRXqaoYNAv/eGM2jdEEo1w5l1+jaxB7iiJGwgY4C+vtuUiN1g8gPQywD5VdGEVngT29gtp0kGISKKjurpyJDTVj33dT+yDmRHjwtLZjsHCixIO5ClUZnlMvPz+x0j3qoIz1f2824Cxm0Y+U6GClkNQnRCKbLmDdVQbe1sJSBK5e888m95VLoj/Q71hbCOP3dethrJQDOWGmLgfdw794GHVrB83frugQebG1VOUwSIkAMIHlyYRqpV7gaEN682Q7mUTcgqF9ptUaz9A8JaMH5YEHJF+fK1BSg85wpbsOWwaymYnAfbqtIhIltNPyhRaCm3Ih0e2OgvHSz4o2YAtINTWh7tS0qZdPmn4uJe0jk+/eWGquAGDWxlfvy+vSPbGcUybKinmsy9C8YwRzZAhYZOc7KBjTpo+ZDqKpddfnBzmL1Ukj9XBC0XGNgcOKNjyzCg1ctttMPI7+crIIY8J0DnhShUr7jsAYH0osxQqVwnmTnCNwEiU4OGyIauLyt0npuSMkKALuwrePu85rAbp73hXktjJcirI5ElX2cA9wx/b+8Hd3B9PfR907cTQEO9syE9pQLLhhgCAC657ZHhGomUTRMkdvN2vwMOVD0ub45Y3uwQsmIwMZb8ao/irId5R8rxZQUCUMwQC0tBWEoTZRGFMVW6uerletTyrQEre2RzsBn0XMv1MKLsB9bzfDxZP2zrQJ16+9uoth0y2VJLnN1jpUakXxuGvrZawIcd9EjWTTjuIXnclGAdZdYNldYhNYX1ejQhvqur3qeGVLtwIIULdUOuTcQRIpB76i8oQDZHZNmsmzQY32fvj8CrOz5/sZIorpZvVFbxfF7RLafb1IqbwnJCU2Bu+/ia2zzX3fjC0TRLJphWBrA50ZYvekP9971DjbWzrGynpZy0UkuRbB2WsItEi5uSc4RcFoT5zJzrV3saRGYchaxko/rZO2xzI55WyN1kjoOxxDLL5SiIalJxlWVbRID13vKuledWvk8UkVFguY8IRTF9mxHngjqy7ms1OjMqEK9b5QUvOUQarqAYbU+vpocQQ6thKyvbXaYI7BJzaQcilczl1bZe+C52bhuttewSsEuQ4wipdzSwlwIVGsb++SqCWEwjI1ekMUKlIH3zDPn0BBz2qH/wJZ1/L9tXtKU9+NlZJ7K44mmBLJkq73ev4GJrMheqFFuAT0pFfTggH+9oFPvc8LUxpmaox7ls+6AQEa6T7TkXivBNF0PydywT2HLO1cTADHWudzs0BXZruwcmNIrFGC3QtBKRlSvrfMt+hxpCc0oQBHWKKGOgwuzjYiwVtrW+OgCvDqi7gawxT9NQID2vSBdBuLBvkAKV51URHleePRNVpMsQUPY2L4pCZpAOO4pRgWtLywLoTAwnUmrPXwZcv+TP85F01OkjcPiKCOnl+7I5PQpjS3CergdBGQLykTTm5V5RJyAsFJuSCoofFaK4jrqu98ytvP+XERBzJO+NInuuWI8Ur6qJ1GZRbbn0UuiU10Fx/gGDQOMjFY7zARS8yoL9V5HKwFY2pw7AMgRIBY6/pLLv5XmEJuD+lwXj+wvGh4SwRIhShEsKML8B8hEoO8Hzf/d7WO5CE2EKhc7Z9K1ieqwsUXbPfr98SVr18CQYH5kLHK9G/R6AbAGjeGXO6fBEB//6boDUxP3kwwjJRL23vDZgNUd8/7Vg/6EizYJ8GFAmll9i/j8gZ6N+2zYcTUJEqrZc3btfLKiD4Nu/M2J+LXTwK/vx6acTygCMvw749PwG6ULnM11ZjkiK5TIDOH0/cU8BdWzqKDj9iA0+/gLYfaoYnoH0fkA6Ce5+xnl++gPBcq8YHgW7DwXrHcdeBZi+iVzLCXj8GxFhBe7+gvbsehcYLDCqeJyB4RtFnf96nu7v7uR2RnIdI9b7uOXTqnHkM26ium64l5FG0HoMpjiGVkc1DBFVBPkuIh8i0rkgngWogrqn4Rk/XanoCHSGnxudgARpIhqkNK7WUxutqJXC6BC3PsdDcqWiYu/kel6qhRMaIuyXOwAvkDWnzLSSHMCGsARYeMUdk9AMPoo2Vat5OdIgurAeZyt55N/Lpo4oVsw9eigEm5qnKumRpbC2qgkgNHTbkYqOsuptaf3WonjujJHKe1NCpOqt0fkiWnpjaJnYgufL+sHZDkKvA+pOwat70pRSuK3l6aIppQAjzOgPqJNRknJFXDLFI46u4IxtPMSi9EOChhcop7+yMOosFaw7OISm3vhdSKc7s8yVCnYI2VinAGEizy2yBZubjq4AhgCGm4jWbcMqUDtnwseqR4htzNTXRPe8m1xwVKizcZ3mXqvdc6Nl9/O1Iaru5KZEQSfr1+3xihvUtX+fdj9zfs1R1NoJcwWglUiSAIx0OrF2QmQvy++4kW3BG5EMnQ2N9LxGb3/HbmhXKVwzMW5U/ZeomAXRXuZi+++bY+/1H3Nhm/25L5HHl33S70FB2MfrglZuyD9TnOliwauWS7rlbrMmpa3xLoWA9NkRLFY/IB8jI7nLCKmKfIgo+4CQBDEKdKlIsyuQksZGx8Vz2wCFpTsogGhztBRS7XtquFgOb1GIlps9tQ6RdUPPsvWZi6j5WP02lBG+b8n2vo6iAq1EjhYryYIKWe1ey8qgzW60Myy04KE4TbzXY3DlY2Eku44Da3tm2VSpjc6PZWMMiBkQrU673wvYqNMeyJMuBSKYU7rSSda7/VZ/2GveOr19bLbT5/PMA48AWnpDq0ZgCr45N1p8m+MvUfjuPgLmPGpyy7nf/7uofDGU29NxPHXI8zAvCwNMddjSYMZkZ0WBXq4MKNTd9gxjH0gBt9rBRJn8mXOBHMxuSRQIkiBUbVVtKr6OYmkCShRIFQZ4lAZXmbb3CKtgEs5Djea4gudFUNJ4W31ae4c6RKK4VvLD+0MHsVJd2oKIdYyW4xdQR2GN0ceZCKaLYbmN0Z0BdTLRKvthvBakC6sOwNBsFWysBkPj6QgDcrqgfvyEsLM0nbUgLuuW691R4TUIykSF8vioTMU4jCjHAWGppFx7majMPcAZRSq02drle5mVKCL7qt7k0koQaLBApJfJOl95nr+9R74bIaHbCyqdEATm7rqd1KP1DaUSWxcWp/Bgkl5nnkO1Evm2+9eBNOe4VArAdWui7Mdt/AZ+JwwEFeJse8bKAL2rOKMCTS3a+lZTQBkZWEmrsn7yaKrBptHQ5+XGRTEUo22/JTUUQsdPMrD/NXB4X/D8g0gHWIlSOprG56LVV51fo1FyKe7kNj1MWRzNSSNKqxhOgsNv6Bg+/0i8uArzOvfaGIx1BKQKxk+KdCEam64V86uI8w+5Pva/ppLwNQjynSJcSWcOqyIatbeM0gSzpk+Vc1+5lqcPGXK6Is5HSI0I5hyHTOdWDc1mWUl8hmJPTxXHX16QjwPybkQZSE1e77SpIksF6bnB+876p9Ah3RSmpdnT8cq/y15B9JRjUSelyyJAOjPwPX3kvuNIrxRBmMVYIBz7UNRMLAGqYnos2P3p11Qc/7tfYL2viItAzCVaHjjPh2cgXjYaNyCIi1oON8dqvSP1eXgGdt9WLIHBjJoUh6+oMB9nRTpxbHYfOZGefxRRJwvsnAttaAtkuEp2HYDltWL6wLxo+pAUQFteCdajBRseFeXflJOrXVQtHxMu7wJVxZ4Z5SujQAaBiy34Jk05ab5Ymazg8V3A/MN745Jz4YasGB8za9PZFRaioGKOg6OlagPRG4M6JIjs0cSoxBydZyvEfdg1YwYAJAe0OoBmaLxUfVSvzRY2JWGnTYWeUmgGXFOF7PLWdEw05kwhWNzR7tRum8DFYHUSnbJnaoOolYjudaXK9ZSa3D5UW31iltLhIcg6reY4SNhqJgJNkfQzgZJSuwh0Z2h7O72tB+aTeDkK7MyYdyQgBJQjN3tXnlQRwOrdhrVAu5I+FF+wg7QXUalWvmY19KZHcDyvzuur2hgGd2QsJ1APrJUMKJW2VVGtTIAbFtI7OkEaDV2HgOWORrsvVKd7kIbCg4aBEGmHludxSVGka2F9tEZJVzqTudyom/o4w/NYe3pt3d7ZGglIaPVX3Zm9cZ7cqN7tINPY8owF2A73YiFco3lrweYc+bzwfNxGhd8MnSYAJqFzQLrgh61D7Z1LYCtno9+xecUACUNzXhGImt7UEO7/32h1TRkX2OaE5xDHSCPJKcNWu/dG0MlR82lC6HL7P7teCmB5v3u7xgHh1T2fuayb0JHnKPp3yov393eqtSGeRJct8DCMWxCi7+dIA0r6eeRj6KrM/dj549YMqexjTQHLfTCRiolMBaFBwTwjOsCjKaeuD5ECG5MgLO50m7OhCuq+pBa4kP5dba92SmMz2u336fGKeCH6jGls+zAAiFppur8qreKz+WHOQ72lULZ92/trGiGjGtJnKImzYWJgCbvQzfPGhuC9ZF4Qe3q5v6tRmVsf+HzwgIOfFf2c8D1lt9Vkb6JzMZLZ70HYXJlrbCVJNuev3vaRMx6UCL8OCfLqYVsrQAuUSDAEuTsz2P/afXYLiGKVdi62z3kbesq5943XeB6cDSGN0SS7Hfvbgssyr5YrH6jNEQLCeb3J0S2HZBRzcH/t6Jzh8RlhYrWFfBhx/tLm0g8SpALTY0G8VEC5v9ckVq4FCCMDnMsxIB/EBIL4fstDQtjHxgyKS0U8ZzJ31u48tgCT04mTkROCn4n9tM3d3hIE6VIgjxzH/DABCqoxrzynw+kK3VltWA9wVfAM9JJGnQqwlApNVEnGrstD7eZbePeWLDSzA+qrA/+2YEPIfDZZezynyqsd9PWOAP/M3+kUgRK4xlIBjnsgBpS7iY6OCPLrPcJhhFxW5v0PcdtHCh36/GqPujP0/cL+rYcJshtu1K+HT9dmS6mELcrTBcTY5/ar4EGEgLAWKjeLID/sUIeAtB8QXt+huo4K0HJ5o+Xfhhdocy8eFq8Fw+PC73j9Yrs0BOiB0GE8rdt+JGaTZEXU0uZDMFGr3ddzo3HrEFHDZtbPrwPihSzJOgh0qJaXyXzPfADOgUrCwcxcoS+F5UFRR0XeC9HWAVjvlS+sdKqmDxRzqolOogthQV1Vl+WHQmbOqlQi5E53zjvB/BY2R+gIrneCvKOTMxiKKBlklyRBmYiEjh+JAF+/IJqcD0BYNucPYC4x83fpsJ5+OPz/efuzJUmWJDsQPCwiupiZL7HcLTMrUQsKQAPdg36ZmX4amsf5gfnafp4hmpceogF1NRpLNaoqt7tHhLubmS4iwvNwmEXV/N4sgChBMKLIvOFhbqYqKgszn8PnYH77OdZjQP/MpOr8SyZ1652iHiqkRBxXhaig/8QYLx84HtCIdB2Qx8BeVwHu/xMTzXzgtUPs3pUJnNOT23W05JR/uidAspivro+t//5W/JreEUCMV94/kWR+R/fCc/ryJZ/L8ZuK/lxxeR8xvxOIRhy+egMNRJtpU8ZxjQsLBzUB5SBAAmnbHdH46TG0PmSNwPyOYyVVoB+3/UUq+6nXU7LeW6owL3dE4eMM9B+Jyj7/uidd+eTfqyYqRvq5CudtXNjvG2dgvRd69IpQIfq/HZK7ldvzMeD6Gf2X0qSIlQ+B1YyIcCANt3T2kKtPdKtqROAFfevdEQUO367ofpxuvvKGPmziBLDKOQ/r2n6mfUeqkotWAAifLggvC/R0QLkbIGtFNDEPBYNwT6aQC/RKGXkZSW/B0DX/tYZO54p2mntPkyNyjgS7zceQoH0yC4By8737gLOJuiSifNpRMVBXE2dyYR8AEt9wg9wfkBbkyrw2Wh19DC3IdOGTsaNHnqlyuqIgE0KrJPqYN79Yp0RFoDPKs4kmALCeIP5c5hXyRGn8fNdT+OlpZQUzCurQcRNYsiWR5vVZ0RDlRo/bVZDDkrdr2iVzOg6ox44iHi/XG8EsXRbosiLUR8gjqdfhYsIspwElulhX3e4VlohVhWqBdhHLPcc5D/GmPyDOrD56ZVMFyKfQekpU7BAAzEfRDsq0SzYcOQGYqBaiKHtmQENhgxh6u0Mt/VB1CyKnrLpnJQA5jhs6uw8+S2HCVhWAMRq0kCocQ+vp2vogLZH267GxUutlbUUwX9N9136/zVS/jmpBuytH717yWv3cE05/VbUEP25JqqG/rQji7/e5YhRsFBOE63vacNRd/6gVTCTGnyak++/ev/ZoYrvvnj7hpQLTzILJ6ch5vSuMSZ55Lb6nOTK86tbT6+OQ4i1SDWyf7YlPxW0CJfJTUbXd9Uu2JBcM7Ns8P0SEbMH/xOLl9FYQsqD0HQkZI4OOkBnUSOVcdyVS98qUSAsVf3oNlQRaQtL8Y31sPj4DOXMcD8PNPudK+bdI4e5Z+3jdFIh0oySvjImaX/s+aTOxJw2hIWaykG2EvjOUUtv339g85cLnafZyOlCoyvspeb+cmzovLFbYPtfQ3lw3X1zvu00B9dCRDHOZtutsBREwEb/O/HtnyZ6zFnYaAM1yyoqifl7SXcD21xQBSVsLnjsk+F4EtLHRzmygFGRS6fYM1IuHeTtbtvUcrIgbLcmV7YzpIguoNgbie7MIdOxRhxFhydtYDLS8k56oZlPS3SWL9cNHxMMdQhSUYcD1CwaZ+cig+u2/CzheKsdSDME4MkYRUwtd7wTrHZGP7szAfjaP3v65ojtXxGtG9/VHXtdx5Fx3xDFFuLZIt0f+wq7g6MVqH8MgiNeM+MML6t0Blz+n8FQfhQjtx9xsb/TxQO0IBUKtkKXyzAxOKQYtdBRMMDsWFmpPBDk9EyXW40DLOxHISorz+mYkjduX1zmTLlwUobC/8Prre6x3AeOPmTFcYFIsqlz7taKcBtK6u63PdHnTAbVD/xQRXwTauX4K0U6UinxKmN91GD5mDF9fgRCQ73pja3F9x/OM+MMzdOiRTaDrJ718LZnfijB61yGPlpx9eKGN06/urKiXEFa2cMTZCtVzhgtJhWDWQ6Z3UHtjiQgAYfIaPzxva8/2dxb7OwoCzgXh+QJnDG5FKPovJxPnqz3XYPf1J+j3P0LevcH6i7eoddvbp3eC7gP3afbbVoQpIL2Q0ppPRMik8O98mKAZypuC+LBgeemQL5HJx8A1EZ+YyIzfKx7/04zpsw6f/io2RiSVlEk7ThOT12pJnQQ0lDgfBMtnBciC4QeunXIPSxSF47wyWarCpBQgWjheaCVz+aIA1v4YFiaGtDDbAAgpABKFjvLRUMjvFeud4PrPM8L9ipgKuqjIz3dmocM1XQZg+msgv18RSo/ukky5mcnou397Rff7D/j4f/4KP/6raMmcNopz62MuvP48CtMBQ0jHj4r6zL1kcmG0zPynIeOggFhc1CyEuP+o+dCmC6/z+lWFZMHxG6B7KtAvI6b33L+uX40Iq2L4RAq7J6Yhu1qyYH7LZ8iEu2IttDTSwIS3dor1sUDHijinjX2SAUTB9csKRMXp7yLe/e8F+SC4fB4pADiRpp4PwMuvxb5HKX72UKF9hXQVoatY+g4hJ6Qz8PifuJeevwqmFA3G2NOePvvHX3+68JQpKsqamcAeSbWZH8MGc1c0SXAAm8CGUQFqx0pKtQkl1SgTRY06yoqnJ7deydIQmGAZmug0qraPWeBNhHeHXEQq6rF6j1s0sKk0W+IAbP1yHigVo8wU3AZWYNVbxldB2D4Y37/X0QgNG3rqFLYgRhfaoUq6E0UKgeq67n+aC1X/dgeiV9Hpy/eKzp1SC2A0hU3FFbgVCHFkYFq2ILAFpErmqm5+YwATfqIj1t9sisQaWeEO1p/dDOkb4GX3agi5dpGB4Wu0zgPEfcIN0EMX4EFnKKr0HUVP7P0Sgvncdi24J6oS2viKqW7LLhFoVGJhlTef+F2UNfdDEgAEYrTzkLiQl1OweQ2r5AlCYVUyFGUw6F6Sr18+51JCQzk94Q64TbD2v2/juD1D3cbYx27Xs+v/po7geDTgPcGOcP4MMrv3rXUbntf30mSmXiNJ/rOWeDpaGrZgHGhJWUvSVdHklndJSUuQbT42VDsIP3NPc7bEWWKA1ti+7yeiWD4v9wlTm4+BxTUrNPzk32Ng+XP/b5Y0N5XdfW+kv+d1u4OPTRvQV8mbX58ncH26VTLfI2b+WYZq3ybsbSKjDgHzG/5emuwg04gu1UbTdCobrQ24l4eFVgBSYGwcQQq1KayrMMFVV8rdzQf3B9wH9cDO0mpf/Njvq6/R/9d0cx/T/XP8udcOgfHvaGwdYDtnGmKK3XViuz6j9yKlTZHflJRZoKzbGq3a5qnk0qyH2jm5f7aw/XUtcEGlm+v2YlNLTgU/WW9eDHQWlBdkDd1WhO1MBG4S42bVY0G8GvvlZj76K8hNfyC8FQhobgb7a/JeaVFtrRJqDCyJHCfdvd//+D6tu/kuyngh2t7q+8F2bds5VjtBPmmjV4ZM5Gq921qvqFIqm+qsBYI1AtITEZPChNLPAianaIUQ3c8p8wBua2BVe55oYyBusWX3284mS3xEFWEmQubWWxoF4u0QnrwtddOAsAKKJ3zNx3dIDYGtSRAt3pI5b0UHWKxUwKIV0BhMGugzG5YC+USv6HQtQLBra8mPIY6+B/n2pmiiNXHmfd/YlnkR1+Z2uhboU0CcSyu4uB0ZP5DP2Is4tDPCT7Uz0tb73OZhFEsylHFCx4JAE/4SBtoqQnSxmuigt6wENM0R7MbahceaErj15nM+evEooFZFcL2AnkUx2iIFAHXbf7zINPZUwj+O9GLeW8WYQJIrA+NQ2C1yCDuRKUUoTIIRgBqZeEgWlJcOKELqqgDObQ8rKba1V0yfdZgfAsWqwJiIc8PWgRVyQmaSU1cCAFLNjsZQyDQxqXNgLB8E18861I59rBqkJXyNBlyA7sdo4kl2z5ZcagTOX8a2fpv6cUeP4mKCXPESUNChaocVwLAI5kc0lqlb8CAb87Tn/BJbB/kQEd7cQSrQf+R3p8liPbH9otpU1+3n68GeX4RdmyBaUsz+ard2MvDkusWae5FCTUAOQB02Ea58FKwPEZKB8Uf2a6+HABksyY70ze1euC5opUevYx8nFaorb3auQFSBvgToFNA9C9LEM12KtRNEhXaV7UWjYD0GLG84J+Ji8zGiAZxBBKqkndcaoEVQslCV2VBwaiNIE/7SCOQxoL4Wvfkjrz85ya1v74GXDH0+s/L/eQYUWO8jwiroPwih8GgDWYA4kZddel54GYnmhmSbWeGkjiBFKN/1iNeMdGHPpYts6OMJ5dhtPmxetd4fzmrUUUfzANQ399CTJ+cmBjFTBAVDt1XXEivp24HhQYYZiNtLg9AeIQol8gP4uZP1jvnh22iosGSbghj8DG6KYc3Qy0T/W69W7/0H55V0o7GH5AhcrsDCJDR4sOJByS7wV0PL2tiNvVV0O1TrTRHrWW39ryI83OaFthbjCH3/hgepVVRpB8Pv8Opwul7ZixMPZpcQUO54n64oV/uAdeisWqXtUBME621hElAPPHzj2dBWt5IwsRKNgWNvNLmaAsKSKXgRI7KhtfGyEGlIW9DaVEA7+n1JUb5vMhGU6qVNMGDtaQuzPCRcv+CmH2YucF/AceZcFvPr1GjG1QdFvEpLFvKBG8jYCeJkiotz2XpkPfgPYesBXVfovICRALaeRVUunn3iApDWGSP/7swES9j0cuXOOwwsysQAIG3IL8CeyZyB0ENOB/7eNLfeObENCrVwJ+z2nqBlSyz8Gh2Vc6Env5ZshZoYN6Gnn7PEUrUeybwVaYDbZP21WnTwoNruqZoNU0qNasrYL2zK5SJbIuwiVsu6oW0D57KkZKhrYJBz04trKJSt/6ayCRCJtADMaady09QPzvMucQ9wivm+2Ka7ewba3tJUvrvEApG/p26tEXtEV3O+9SQuFajcI6a3EZd/Tg6bPHUIC/tx0iWa2iILLcs9g//5LWlH6SxIFw822NPTf2JAXceIMiQTkNGN3ujz3pDntvf1Xbv+dt2Vc6WhiXknOuVj9UoLwMeaFOKtNxlA68VrKqgN4bTg0q2YigKwlg+RNhel6xoCuy/A6fUKefOI8njaaLQAwsuC4NoI/ll+j1cT9Hm4oxihn13OLgG411v7hxfrZJpv7h9Dz1Yc7y9X0ssYZVmCm7YxlGUrtLCXdtcLmCJhlE7guga0BosohxOLpJaEusJxK1IIGnVXOyKI0kXqQ+TQzlU+H2vLWTNEBPWubzoGqi6eaEmE6WaEKdMiKcV2lvKzC+LLvFGYQ2gJNgB6ddtaXU6C+asMWIBYs+D6BVE1MVZC7Rn41h5Y3hLJCOeIdGGrVRlpJ9I/WXxTlUJTpfK6Ktj/KgIdAtlgxw7rXaKA1HUlXTxEi4EUcV3h5DBXQ/c7cMZA/4nsqzBnggJ9Qv7sngV6BbBUpI8XyLyi3o2oxx7VbGgoGrfYORoRA4W2yonspPAycT6+uUc1qrJM7EGPJq4XrNiyvh0xf9mjfyo4fPcJWFb0vwc660mvlkSHxeaUF0eErgZqkXZYK7ofLlyjXoAZmKRJ9QJLQfe7H9Gpoj6esL47QjKFSVEUeuhaDCFCy7rwMnFfuUxcs6cj6nGE9hHLG4vdOmkoUf9EdLa+vWPSu1akC+BClezTplhXHvlUuucVcbL4auC6crRVSkVwn+XD0NgYtI2iQFztqD8TgyBce4gq8v1AhD3AkvVdoicAomB9fwLen1A72iPmHeMnXbeEanlUfPnlJ1yWDs96jzDvinexMpFNinjKPI7/MCJ9F5FPinxXmKUVgSwBw0ci3fNbwflX5tsraskLzwMpdu5UUKAqA8fvqCbcvVSEpWL4qDj9liJR3Zk3Nr8h9Xd+B1y+EgwfBe//ZkVYKy5fdlhP7A/OByKYn/3/WOh5+vOAfFTEK9A/KeZ3gue/ZqGp/xAQFgpEOWMDICPj8IcA0UDhqgmY3tNOiMUsz06B+BIBUSwPm22OFOD8ix6XLzv054r3fzOzWJE4n6Y30XpyrXBVmQSXHpg+Z6JdE6+/e6aQU5qA47cZISsunycs94LDDxWn315Ru4jrlz1yZwW1wnvJJxaStKNN4PXzhDIkjD9UPP7dguUh4eWX8Ubt+vRNxfHff4f6cMT01QlxUQwfK9KZFj/5YHu5HRvdBUBlH3dcgO5cMHzICI8Jl4kxdO4q4l3G8phw+SxgeSO4/LMZoavQDz2p8y/MCVUArNzbwswiZOnJ5CQ7hmO1HrnGqhUXygBM7wLK9CpG/COvP52u3CrJdrhaxaeO7hslN+bNIoD0nDVeSSk9qysM3nhjeyl8l6e+QSj3lX73cC279wAWOOx+tqfo7QNFYEsQwo4+Yt/vfqAqepPstsp6hQX7wuQjGLrzGsH169n9bhP7sErnzcuTVdzSN1WIzDbD+B0Ns6nx+v21oHs3Fh6MuQefj8frqr+/VxXNwsLv0xMWT9r/y+bb9tFhZ4oO8NDoIprdj42JKgVBGoLiQfwuhm3PyqyY9r/fFNVDYJVpTxXcvyJIyW33VLc+39fXHlnB3IRCbBMTq17WbQxr4iZUDiaPDqK4gEAD5eqD9541ih6T+Bsktj3TFvX8dA779am2ai8FO3aJl/ejaoWuGdL1t2iwvw/YnvkehWzUWrV+t59+/3bNPx1nR8TF3/Nzr32yyF+6+V3+pW7f3Txww5bMvk4C/9j3+di+okff2Oo0cR0GYz9hOvj9/Nzz8usRbUjmpry+n6e7MX5NtfXXz1k6ATv0Yturbta9o1g/N1+q4if9xPa+mgTdgYXBdQ2okcFxLbzhoPzc2sGM7hW1U7IWCgMIa/Zufemuw9Cs4fxybB+56fmX7blQuEp/ukf5+Kl/Xtie1+75/OxLvH9rt1bK9m83tmFtPuH2GpxOuJ+zvn9IaM+5Ib3Wn3zTlhIEAitvrzAWibUW7FHcHd1aivVuSgDw6pneoPw2Nq/vaf+sX43JHx23fYG2vd/2XbStdrOe8WPDk+v9tfkZWesmmhNwe4bvilebnZJ9iT2HPbLe+qrbfRtNWQPQ7cQeAaKdljgiADIWhEixlioBZaDHpCRAM9uuag/u+0NFOGTUIqirtQSIIgRDG3wbUL8vnrN71K7tG1U3JVv7IwE/WQ+t2CFWNPDvMPQVRgVXZ4j4Y/TiiIk17a2+tG7ryzUk3LrD/WIlJSsoGFR2c921IcGAnenG3EKsm2BZHAHv9NgXl272eNC+z4teXjw0tWgi+rt1Zkrfkn/G7UF1WxJROCFfax3Yc9hb8mibwGh7vItSsadZUe29Abtt039vF0MxZ9/WmpRtzWsrumznBf++7Y8+Pp4w3YyZ7wNm0aneChVtP90vz6oIdu0IgvthRgwVz/2J03Zhb6YmAEkhfcV4WFBKwBr0JpZp9xm09ZU6UkkLI2loKi2Y7GxY7L6i/VyYF4gFUGlS7BFOF2nKHVpSxgJJbQigfz4ApJniUu28AdeeBkBPGagC/RTg1jbBmEplYK7RhKsmIM0KKaYyHTdkNCxiTA3mM3tLnHzgMwwlIE6+d6ExmSg2pgwnZfvjYwf/AzSrHs53+5nTvOdiQmv788TGvpACLQgUA7P79/kMGy814ij9uqXpOzSHucxfCKsgWI28qW0bsuo2TcFlFdSvUYAiqFnYHTNIQ/fbNYStuACbriL8fa2GFBdQMdqo5k71p2o1f146wY6V/4++/nS6sqkhNzrNNbKaMBZoL8iT2GHC7L8MwPULTp7aKxAZAEK44NJZEBea/jqlIZivlfZGqZmXLQGxA632if0lL+zZVBPIQGfvyRsNTpYVLjYCp8W+uYerMCIEhMsCeZ5uN1YXngJuN0yvPqtCih0KKVCivlaEp6tVdAfUMUFKQXhhn1YdKHHfRE1EIHfH3QD7IRlan5b2AaWn4ERKkYhM2tDa1s9W6lZ82CW3TlMjIgqOW6PA0b5ARIjg5gw5jMDbB3rgLitCdeVUHh4COySNkqVdtD5dkL60VoRpgXYR6/sjyhBtAXjPlv3+ibY83TmzImpID9GnQMrHnFvPojYTeNLbxGT+NQjqaWD11GxT/P7DvAJn9hmtb9hDTMP2yp5tlRua1M0zzhkKLrDyJgNBUadI0YAUzJPNqnMdUI6KmhTlbUY8ZCxzxLIEyBzQfwytWhUXoIwRUnuEFNg/1QITu/aiW38rYBZWFlCEXW9mu1xtiaSmyOTHvHH3n6vTtCn0JrM9MWoyqYu20807VNuLCi3wvi3CeA+fq2e2VxCiuNUF43jdpNLHn03Yb8a/snAksbe/l+16jIqs2RGAXfGtKjQlJsAhcj574uKFr8D+OPX7NKREp2l7X1Ug1i2YCWHrnQXQRM98nYk09EYcZfXqfpA2Xx05lGDBm6nlymtxnn1QaAidI4l63N2Tsn1EztdGjWzoXTDF+ZVKuVjNa8BfXQJMuCQfgDf37O/7CCAvCfkSgCqQDpADg6N8ogIk93NFOVQsnwFhChh+CAg9cPkiobuLiHNtzIWbXuSdN7eryEN3/Yh+/bt9mKie/VsSQKzwtxZazthnbUwa71XeFSP280u34mZDkXYJaWtrsAIjwkBa8WFAPfbcQ88Tx7fvmCB0FBgMuRJhVN0UmJ1JkiLqyPkWQmBi5uhTS3CpS6Ah8PxyVpCtQX0tzJd268lbcKwHFIVIuYuvtUJnDKhjj3pItGR5unIMB+t1tL5X7RL0NJpFVGgBNpE5mJIvWp9jmAqCZshakUxdmO9N1vZjCLUlAo7ihzm/QoUtllBjvSir/vVw3OaQ/QzAziKQPbBS5va486/eIz4VhO8/AfoGj48XpFhxmTusK5X+88rgtCZYMUeJdnXK+sXdinLM0DkiPrPvrFwZveYhoAxks934rLa5pgiXFePzxEDVkH2eZbZ/pGABH/+t0X53L1HwXPa/54pgY1BGCutFp8LbZ5QUCD7EiPDmiLCQ1SWlIl4p5IQgmH/9Fk1ZVhVhiVQEtvNItDb2RZwLumcWrZdfvYXkyl7k5zMkRtKhFVtRH7CiX9yu2857Wln1FHsa49Yr3AWusyiQObX9Mb0s1ipnbLEpIy5zi8M0SrPHK/dH25PtURi7Ii4V3UuGLGR71c4KBWaBFieyj65fDpgeA9Ks6C5sV0jX0goPZYhUUe45FhQd000VWpziH0hFFYFKMmEfKwwpGgU/mJhVewVQuDXQnYTsPxOluhZ0c0bKm4aNBsHh24Lx+wmf/uoO//LxazznET88nTCfewxfJwwfGJMvXxWEvuDNkXv+H75MuN518P5WTRXdw4xaA655xPIgOHwjuP8H9p/GpaImweXzQCHZe6AOQPciJupJlLYmS5o0on9SjB8UpRPa2kRLPJ+pVhxWCmLNbxP7cpMVYQKLTuUATI/WR5oAR/qWB8H6oBjvFqxLQvfcY/igphcBnH8hOP9l5hn1I+Ow9Q6Y3wXUCIw/EIldHrjm45V5SU1AvlPUxbJUUFm4DIqnINCYMPwoeP9vaQ263LPXds3si3b0VZTJdffiRY9NYKn0wPf/OqEmYPyetGINwPL5AWUImB9oXSTVLH6eyBD04rFUoH9h//b0NuD5nwwIliAm87xFBZ5/nfDhn32G7qw4fF/hfsHB6ORhYSxbDtwDQrS5qcbAHQT50KF0fEZdBeKUoCmRwfgZ25Ye/g1zlXxgkh1nWA8v44e9G086M8H1QlMoYE92Bt78bUVcqLZ9/SzcKNv/Y68/Hcn1XjKx/tbMgEMSf147wvXRKkKagHJvTcZ9oUdjFVZbgqJmC0isoiVWOaZ8NUsKAmwHPNBALaeFbEq7W9WSdxu331szpEtQWLLXB6sOcdMLAEWOrH/Xq21o/UfbAPNwzVZdJ+XUez1kRUtYvOeCB7sFKYeuBVNi6rku/LRRhsNWgTXEgeIeijp15LV7AlwBUQ9mXiMBWxDefGotQWzIpb8PTgEsQLDDZS0ITywwSLc1nbPiXmmTEYAbCyZTZpbrDJTOEFxT2U5eRQbHs+fETldpwa1v8A1Rh1V3OtlohB68eiI4bObx4UKVwmZhVYzmPHbt+8MqgFXPpE0m3CKHwNYXGoA4FogocuXY12ybnomU1F6R7yu0q+jvFozDirWPyDlgvXbIC4PaahT9Nl+Mluk+mvCybNnWGRFFCzQc3XuFvPykb8d6AVtyq9vn6roCXQfxXcw/z7ynAdwm2P5y1sC+X8p/Nxgs86rv14Ps297KuN3jH0l02/U2FWHdhJjS7mc+Tonj1P5uKGxTZt4+ePfftgZcyRmAzjN056UtWknvDbLRkxtaGtr/e4+60+PVAl0VtB6wWHSjdUdgo7qwGKC18jv+yDOG7yNdd9Pf5ZRPXVeIJvb/BmzXp7n9rpYK3SG5e4ShJsGpZ9J/6RlAlr5nJdsq57UnVar1bAHAWJCGghw7lBeui/XI/XwoQlaoeqCjP0UHo2xrofnlYhuD3X2qsWdaD9weyba9zH8mDXHyErl9ZuXnymv2hM2P5rluAjJtbUW2TmjHwDYAVLA1SzTtwpZQ18rzZM8C2KNalphpl7aWBZ93zgZwSx1vP/D17OwA2D7pQmP2b83SRxmIu2icM2N0h9ZoF5oHYnAKsicKk81XozlTxdifC+xs2hIHVSqUhsWK4NVag8So2xE8+/cIuCudG8qqYbfv2HdpFQQXhezpzSxFINmsrLwdxTU8rCAkdSvmrHcdhqdibRvAaViQQkWxsbj2GyuhHm3eCMdPYgVEEbuKGBVLUNSJxZ/KmmNjsYkK1GnZr5hmspYmlsV5Kc3yjuicwNFulAqR2vYaj4X4XLch4nloZ/iegfOKHVKT9cz3AVVSKzoFUy+uQ8L6Wc8+wYkK0Px909VwoSy/l8IAVKM0CnYnAswU0mtrPeyuE9buAiaSYd3FH4HXlsdoiCu355oCgibsmVyyFoIKB9vXJ7R5VoUFez//y6njWi0VktnzKLYHxfOKcF1RjCLcxs6LbQAFhwYG+nE2a6jqY+5xX0A+0EooAoaSswjDYpygtbKInREAzxRHoa1AJPvWM/XzRJrtFdusAIEJU11WaN4VloVJePzxjJDv8EX/jE4Khj5jnRNFkp4UyyOvJYji0K2IUjEeF0wC1GsCMv99GDJUBedTBw2RPrXfZ0NCM8qYMD/0qD3tb1yFNx+IgC4PauJRtqRXQfym2rnI94SFf1SAJExKyyAk6BgNnwmdoka2C3hfKf2ON3boocsomSq93cWsiWbF9D4h3q8okhBKQlwUcxewHoG4bkJOcuIghiytz7d0AMAWBgqLKsqxQk8Z/XHFFI8o/9HOx4EtPNVFsAo/XzLp2Y720rUACEWRo2D6rKKOFf0zBb4gFPbNAy2klMYg/JwXbTY9jrrGmcWny5cR0+cV6SI4XK2XemYMff1CcP1FwfB9RP/Mf3NmSWNiAajJi3PSxLPouGAFzWBIbnVFbWB5ANa3BHAO31aEDFw/o+hXWK049zOhntPA/Xk6Ii5FMf64IH24AnqPyxehIfn/udefjuTmDGQAatV5Jayvc7QBAnCgcXS+t2poRxWtxzcXnIYFT9OA62VAEUVRVuyzKZct9wEaenQvBf3k6rsM3FAU0RT9xKhd9bSjr1gPVVh3I+pIgFdKzWJAFvYBaQejoyaExzsAuKHVNHpOqUCX2FdRFMEEQzy44AG2buIFhRYU/jP3Wmzoitst7HqHPLirI0UHwmVFfD5DU0SYTFV5td625ZaOQ9XQvAV8tlG2XrX9e/26d4rGUhUY2a+pw9YL2HrIfNP2hNxQK78mUWWvbwrQUVC6eyAy4OmqQh9Tq8R4jMWDUJCPESoDIDyMQ2ZFNKylFTg0RpRjR4Xi6WqHJsz3z6yA6pYIa+KhH/w+Q0A6Z5AGUa2SyvfIQmEgqbuyuQiaF+k+1wja8tD2VquBeCEHAEoNGPsVwynjUzpgOieUws1/XVmxjDNaMeNmrN1uAmgKvy3wdyTRkGaYsNZGp3SUxIJvQzZlHFnA2QXKXkTQxYzs3ZrG0VZVovsFN0JleySzXXvg74gjwbv1p6rsZ3XPSy+u7FHR16+qvPaQmkeh98K2lycUKVHF2eh77XeXlQms997667V1kbJYIiIcpxH0c1zWm+vYq+uKo9NORba9pYwJdYhWQNsXdWCCekT6aD1VEAzpk3mXrHihy1XPPcEJPWmX1moh4HcoBDgMWyvDvgjQ5rIh6X13078q00xV2hCQJsX3LyeIKJY5oeTAwKJjVV8TUIeK9LggxIqUin002R0XUJuhJrOsKEaRCo7GrS2BvEF41oJ4XW7nlimNKirF+UK4seuRUiDzVqjbrOUsQcu2H6bYCpUybUrtjbHjY+XI2uJFtQQdbo9LtyNDDAjOMnJk1WlgjiYBVmzQdi9+X17E5ZwwxVVL9sQ9cFV5RuUAuc70hu06aitoaEUOiRRnklyAib2qOI7cV6y/++YMsP5XRxJDx37LYH2tUIVc6MmOGFDvT3DNCaiyoLijndcuIB8N3fVHFwVpCvSXnXfsBC/UlWpzU7fE3f57z7gC7DMjUJ3NEUz12m3uHClLwRjjgfe4rDdrPk4F5d0J8nhEOQh+eD6h7zL6VDB0GZdDwVpNnGkVqtI+UIH1/jTh0GUsJSKXgFoFS1JoZlIvFSg9havqHEgm80So7TFAEEGFORIY4yO4l/2uWFMNoaxjB03CZOx5goaEYlZA0Zhgrf+1arPPyW+P0HBqvZ11oJ91yEqW1TVbQfs2fqDtC0VfyhChkzBgVKC6BZFPJaP7SlHErAiloh5HSHgHPY1MLJeC8DwBQdgf3FkiXm1vckFR2yfjy4L4tDCBTaGJcd0Uvvxnws9xIEHVXCRKNZ0R610+dMZKqOwnrhHBvq+M9C0OuaL7NDWlcI1MZqHsJeU8Fyz3AUSogrUpaaPceuyiXWANrScE6XEIqiJe3F88tp+xn1WQjWVWB8YycS5NQCxeK0IXMI/0Pw43VY7bVz4Cn/6yR/fF58hHxf/8h3/Jz1VB6guuX1WsJ8HyxYq3nz+j1IDf/PAGtVIISARIpxVyp1AVXM4D6hoQnyPCLMgn4OkvOsQJGJ6I4HnCJoX7fI2k/qsxIiCO5jFpyqOgdGR7BrUkNZgadMc5xnYFi7WUyVO6cN9xBwAio4acPjJRevr2DsiCdMf4zoVwl0egPHcI14B84OewL9ifHb9n+MDCXTkoljdoc14FKKOvFSBcAyoSliqQCHz8a66P5Y2iDnbRAIbvAu7/nnNoeisox42eHkzUriZB/0mgL4J05jpcTsF6gRXjB8ary700Ean1yMLHes/P658p/Btnxek3LEbmE1AHQbpWJLPf0V6x3itefmWFgCeipvlISyYASGfZxiQA6UKFZlK66ZbjLamSmfCmi4FHAM6/4jqhWBkaDTkWUPU78XnQE5j7jbdNOK05ZMHlywHpgeDU3e8K8s8xLn/m9V8FydWyVZqkwtSM7aDrKisfAezXDQqJitAX/OrxE/7J6QP+w9Pn+F2OCDFgFaCGaGbsNP8tVuXuv7MgoqOdgZQCudSt5yRGlLfHlhAGp1I3FMwC8B2NhRXOCpkt2BFS0nSIyIaW+sYaltwq7JILhZG6CEkKXdNN7oNcWG2Wjb4rsx22buXjVGnZFTj9/bBlEYBy4HvjeYE+PQMSmvoeBlKNsKyboI/brWS3gEjY6JsWVDlK4IjRYSTlEZvQiSsie4DR0AuANPWcLZDeEA2octxzgaSAaqJXpOOap92kWE/J+rS33gNHd9ZjsD4G0jLiojhkQy+9R88OICCT3pvL1rdlAijsf2SA2Q7UIJAUWCA5k77WkGchTSkkC5D3SS4A92jV3YOWwM0fgqaex+cIyFAQU7VhDng8rvjV3ScEUfx+OKAUQTkI1ixIV0ErcLaixEZ1pejWjnq5Rz8AExEyZoR7dwIb3dvVXk1QSY4ji0U7YZpGH71eiV4ejy0Z1bFHs5PyOdXdbh+vVcQbTXrHukAyT97Ofv+1D7X3I+8DcVU4Kitdt6FzsGQ/Z84NITokLbGLG4tiytBlMZGtXQlwp0rb+lMrESwN4LpIEXK+Msn1+eWJT99RMMYKERqZRDmCW8aIcoicy51R3xZ6FZbBNn+zo3ClVcnxNhGyBKwJScna9p82H3x8g1NpwybM5GiEtSP4zyQEs3raDgu9Towy+g5xBs7PI0JU1CzQEsgK781P8FDQDRmfv33GmDJO3YI+ZLysA6bcIYji4zWhxIjyKSIuwj4nr9BOJoQ13NqxYc7Ax2c+x8PI9gmbm1siubFSnKYq15lCOSlxL3Nl5BAALW2P8N5Nuc6cE4FK9eg71L5D8+fOhWJvOdM+Docdai82r2ajY3abRY0IdOhYnDS0Jvj8bv3CW0LX+m+tUFglbknHYtZuKpB55X55naAvZ+AwUpshYWMOwApja4ZeLlwvB7d/yVubg82Ztp4tYZcYEA1FbYJXswk2Pt6h3A8sxlyWNudaz5Qy2ckH9mY2WiIYDIW+InmxVbmO4pLbtbQirM9lbyEJlrzYWBKh4/8HE45s1OQUrf8vsA/Ufr+dd/aKS8HyxYD1LtAL8nlAHiMOb17Qp4rnY0YWAFNEuAowAHd3E+7GGb+6+4THbsI30z1+vB6xloglUoPE6Yi1oz9kSoqQrcAdrBi2Y9cEO5OqU6w/sVgjtUKLcj4MCZqIkJYhYKxA+EhjSwobgcJVtaJ2Pcoh0Wbo0wWIEdMXb7Hcx4bS1MS9KIEF3jAtbW/XFDmGRblGqyIfDD2ydevXzgu2/yvmmpCJ6EGBeuwgByKntQtsXbowydX70RD47blvKtlG3f94ZttBSoimUK6HfkOl215cNn0DgXnFys7yK0OmhWf/PEKCzZspIxRFtP26mIBU/3FG+HSBnkbkkzF6ArUYuktGmgTT+w7X9ywaLFYMCQv9S0OGWaexwBOUiskiaAhuyJVrCEA59YwPjbhVo6A+dC1RhhcPltrEu2ofgTedxbDbc3j9ygfg5R2fXT4qfvPb95Cu4nCa0fcZ+tUF5fOIzx7P+Kdvv8dvn9/g6Q/3kFWg9xlxKLg7TXh3uuD7lxOevr6HzAHpJVBk88gEJb1QtMzRP7YaevZGVFQNkQeAsAjSlQnRepCWGGsFao/WO+qJk7+IdFPBP51Jp13vueZOf1Cki2I9BqwPBWEO6L9JgNDXdXnUrQe2Aukpmggo53OcFN1sNNwjv3f4xGT5+S+A9bEgTLTUQQDKyH1KsqGzNaAUAZLi8k8XNDVqAIgKCQp8P+Lhb19Qu4jp3RHradsja7aYVYD+EwAVdBfSjvMBuPxK0X0SPP5dRrpm1DSg9EahPnDfvX7Je6y9IF4F/bPi8H3B/Bjw/OcsKhwrkK4VQAS6inIPXPqAOAmO4DjkI8clTkz8NZLOrcIEdviQUcbAWD1KU5pPFUAhSh1nYH4UPP8V6dan3wQM561Q4crbZQCuX1rbU2LxIGRpCTFZjUzkRQWHHxR3f3dGWa8/P+lfvf70JNdQHq2Wfa/CaoxVdKQ6bG/y/3aPdQ34OB3Qh4xsKNd17qFzpHy0LXjJ3gyORpmVuTTq2U0A7UFQNWT3NYVyZ1GAtQDV6B67oDosGboyEdKb5A5G+ZQdumB9Mv7ai3qIbPTBXYUfId0oC6Lqtj/5tXnvhm3mIduBVyuTjhi3vjTf8N2qZH/PDe1jQChOBQNu7EWcpqfBqD0eiO3EcfbCCT9B26JZTlzX7d87v8/QqrwahWbzMOrFwRr8XVhBPSkj50KdfiJoNG0qpNohuBji3CWjku966nR3/7vP1iDQPlowEtBM2c2eIfi97lEdHydDNkMByjmx7LgEznFXPRRQgj+A80sFIShSKlhLxHfXO7xMA9A83LY/rxHhm+foY+8bvieUTXm13ASvN8wFwO4nbQUQT35MbRUWJHsyLcD2ecCGAjq6vBM7a2yB/ecGYX83rBTnY7jrR9Q9nX7/Wfvn1lBiexae6Bvi6d8tgI25KR17QuoJcQzsy9rP3b1Akd+vWwE5BVt3SYi/JyXueYY0bTR/m59RWmBaxsggsUNjLoTM+RcXCwzBqqcES94CrJUC25r1wpQlCfpqr/H9ZqPVBmhMWz+Yv8+LYzY2Amz2YgBVZ/uO8zwr9CWhxK1yw+q7IFwDdBWsQ8AP8YS+z8AdgI6UtzGteG7KFTa/rQLOJGR3/XFLPBs6t/d99cKfox1ePPS9b6dA3ZSvl7UVHTR6Qh85D1rRKEK0u2EgyJ794ih928/cG8P2xDmaME9oXr/ue9ySMrShszm3m9+uteDFHQCwnsqbl7eYeG9l17EAZYivALfJqz/LrtsUzwPIyNn36gK2FnHbp+zJ6/7+VXeJxA4tNXpmGYKJj9F+xxEJWsMwqgyGWElVpKkweN3PYVihbLR548yianuy6FZktCK1eiHSqPjqDK0gAAJUFHF9Vay0V1gr0hWIcwSWgKwJ3+MOAiBfE7AGyEKlUU0By5pwDRUv64AgijknFBXkHCGZ6q2uOh4Wxi1xsXYaD1e8gFBJAZYl83rHZGcT12ztE+m3Iq13k/oZNn9sP3S1Ym/rkbUgToExhzk+hKWiu0jTwaBSaqV4zLKjvtuY10MH7SKvT8necDGgJprjtVbHDyqacFSbWk7DVW1UZBbSua/FKTfhp724YRN7Gvot8e6Z0Gnv+gIC1ETgYV4gMxAvCz9v9weqCH0igwtA0z9RFhBgFpX7PamMCbg/olqsQkqqfy/3r/k+YHmEJaAAFOifWXBjb6j3l0bUTDtBqgwXjrnqRuv3MQDa+IkJRblgU+0CZCS7TI2dQivGav2TtfUFtwIEqAvSTUQ95yqYjwGqwJI6hEi6fUorDt2KQ1zxMEz4+mFFWQKQA8oScA4VY79iWRPXwwpA1GyJFGWw+LyXVgRpQkFXY3Za76X4HAKRwXgF+rOjgkAVowUXmL0RiOyOQFHuLbXjXHSLmbBwa8gHK6xVoHuK2FPafd6yrQE3iZaL3wKCmjdUUnuqR5NOrAhXzssyMolpSteG+mpSJrOzoP++hwbF8r4AQwWusYl8TV8cOF+emAgu95ZU+7oRC3GF/1ZTtKSVhYAysI+7dDYfo3CsOjABBwxRJTV8PYmxqXidZRDMjyyOoti+YmNZIyDWypCu/Pv0HtCgbc2ffyWY3/Zt/PIITO9MZ+k5WF+xIA4sbsRJ2p7hXuMamUAPn5TP0fqU01WQXmAK2PxZ7bBDdgXzPZC+OGAnsfCPvv70JDdFQPqGYnVnaWpiAG8wZFZS8r0HJwpdA7758QEfLwfcjTO+uHvB78oj4hPlo+PMhd5dFMNHIpTz2wGhKPofJ2DJrQrYXqoI57kFDI7suZiBDibZfpmbGbvsxTiqApdpoxOPtKapIwMFBkqgepkHwPPW/9BQnH1/WK4IH69ArdC7Iw8QqzSLkqJ4kyhUs0NKEeiF/UcvC4PpXIBxMOrcLpirleqcrhC9P7QABmdDTzXd68zN0605HJUeeLApAO+v9IC9VcoBC7J3yZQjI8uK8PwExIj67h460IKhUTVN7CHfcX5c3wuWRy6+2qv1X5NiXDugnNEOVl/IGq03eCAVNb0sUKHIFICtB0vRKMhqCsBejChjonBDJNoQiqL/4QrMtb1HauUYh1d2NMkQrkXRfZ/a/OZC1K36mLjhaabFQH/KuBtnPE8DPj4fkKcOMjMoEhNCCFk39MRfHlyWyr7ZndqxWLKq89z8OBsN1+l/cTtE3X92L8LV/u3V90k2T+M9rdeftdGlG5XS59uuiKQDxddYkCJNrKG+lT1azWN078dZrcTqn7tLclrA3pvH8ZoN4bL3RUO/RKE5o16upGGejnBrIo1x66PVnXXRviAQBZDQqNtuO9b6f6P5YAfv/1/a+tWetiC0coioSTC/CVhP0qrDjnqRCsX9koGKABogiRSxGnpI6WgZZpZeMs3tGlqS64F9571rTNLLgVTGsFR0z4sVrshgaAm8P7O90u/dEZp4f2lSjF8niu8MvPZQYFXwgDgBpY9YXiKWUYFfAbgDDmnFQz/hZRngegtSYEEZg6GatkIJCwKBQkNZiSTt205EUO+GZkMi1h/YhARfFmCagcOIen/ivPjxI99zYH9dRWr7mu8Tehi2hApoFiMAmsUarDioY4967Nr4Ar7HUJiJ9mmki974Rgu2NdSsfLb54h6kauySMJulS5cafb+tORe8igE4jkxsrxO1ELx3L25IphwPFCT0vvChM+r2poor18XQDRNpNDFCFQHc3s7ooWqU0ZoC0PXQLiAfKSJ4fU86nUYLTB0xUSa76RKsH400Onxg31hsyYctjBBactGE2axXvwWBUVB6JnAlkrHBl52JLuhl59TNGeufASA9L0jPwPA+Ib6wSJyuHSe6eU7GK0UwpRLtXdeIFCvmknBZO8xrwrpGxDOFBONkYjAvFd1LQcgmnIkt+YhzgVxXisNNM0Uy34yGhPUIHc/NfIi7XlXrs7O4SEdaKqUna4KrnGdhyghThnYR+ZFidOmc0b2suH45YrkL6F8qDt/MvI6XK2MYK6Do0GF5OzLgvGT73ojiZ6Yr+QYv2JGVEpZKWzBbr+w1ZZIWrxnhukBTQH5/4mc+zwgvM+rDAfnUkQ1oe5lTdDn3kwlB2f6272UVoq7x6QzogmhCe/nLN8iHnoWXQUwcqocURXpZEKYV2ieUAz+7DLGxyiDA8rYH3vL9carQJJjeJ+RB2hl//Vxw/ScrE6c5mLJwQFiYnK2JcW9NRKvFMoTxx4DhG6Mp94mxUU/lekds2Z5Fe8QaOc/zgW0ALKCoiWFVxCs4vm5dFCN0Z3VRPl8w/JsRb//9gk9/1SPfkSGZiwCd4v7dGQ/jjC+Oz3jXnXGIK/o/K/hxOuK3/+EL9D8GzFXwISjmc4/uQv/SmgD0ivWhQE4ZS9chXmkt58X6uDDpItrKaw4z15IGJq7jj4rj1wutq4YOgEJmGKWYZ2YRJps1AtdfFuhdRveHHqffMyHuLEac3zEh6p6Au78n5XZ+43GZ5yOM2dTiToBJq1SxXmtev1T+fP6iAEHR/ZgwfAiY31Xg/UxV9afb3nAdFNpXDN93+MX/a0btAn7/f09Yv6jof4g4fs2E+cO/6JAuivf/6xXxecKHf/0GzyfLGcB9M5+AmhTrHQDlvjL+wELS/ECtlHwyYaie1xoXQfdkTAIDBvNRML1jPnX4lufv/MbikZMCWRAWoriSN6/kdAHipDj/maD+ixdABeungQnxX19xf3/B9x/uUb8dUceK+6+ekULFh28eEJ6pkRAKCxDj9ywG5CPR2nxkD3P/Q8ThByug5QDJiuEH4P63BS+/iPj0qwJNijBxzoWVzzsfBcubhDJ3wP+M/+zrT09yVdtBTpoXmiUMAFPq4mSvTnlJACJQcsCyRCwpYq0RpQRWWgzlChYYsTcEFBtS6+lyFAr87iaq4sG7I1Otaf9VdXyHxu4Dj5/c2+uXVb212vf5JPcJ2r43/AT5vZHM339HtfeLWuBv3+t9gbvEpFX9HWUurFa2fj8PduruHn9yT7L9vyXuDbVVbXQOKsL+zHg4Uud2BdECL++pdCVosUqXHUjk70ujIrsxd7EYzgUgymho0br1uLiUvhaveKIFPn6JTGitEhyFEv8mNqRq9+OiDX5gr0wMJO6SnYrb5OvV+IWV4lgA5zargrZxJkWr7mYm9qUG/ikBJUdoFsS8r06hVcVei4i0l/eWNjrtjsnweu42RGybez+HjjZLm93P/L/l5+YOsAXvFT+dD/vP9yB3Ty0D0CyN9p8fwu1Y/7Hv9tdOdbvZJf3c74Y/ck+O5O0T3KotwW2/t78ukabOfKO8++q178dyuj172qxaHIj0iwL1LKizNhGRCqvEqmwMYvkjz/D1y8faq/9Bmrckrbrsc4JC1oim/+8qx/vxU7X2DHr21SwoavRtH46MJsQhqwAJWNeEKScEUfSBPYsoDPZcmML7cQC09ga8moPqY72/pj82J14VQ9o4JCa1dYfgtP2tbN91O+93aL0nk3Y9eyVh/15Ngaj3jvHT7HDapsT/YZ++Be4xbPt08N+TP8Y4bNe07amO+v50XNT2ZahZ3u2Qe7cokddrb38+Wr+07sc8gn3eO1EyR+RrktZHVUYY6mTP1+ZLGW738/2WcPOsZXeP7Q3KQknYn+nbB6iJgZHJgJYUirWs+Of+Y3OI/bIc/7BYEG6okjgVNQswBRRNuB46xFCRS0SpwYSwtunTrOUsYN7mqM2lKJAojN79uvy9dtY5/XuLTW6vWQPZU158dguava+uj0mwMyJknl1tDToi3GljCbgNn1YvhKqhzsbJMSXYhhzbZ3HOvBrYat/zM7GV+Pm6ix9vxDB1218pzHib3LYkOIVbQVHbA7d16uPht6Pb2eVbQK6NpaA/87sQi1t6WOxAZqL0VlQFE/raMYF0Wq5WYUxn1+zX4WveEeublq3AB9+KaZZ81wg7wyy2sDnRkHPf216FLFqkzTk+L2GtPFNctJSAooKpdHjKB1xLh2vusNawhddFkNcEFGktdM7M4bkCaLRCaNxQQfier9txI7t14uPcYrsI1CiImXM0rECYd+NmYydB2zwgoGFTxeIoV1BudnDK6/T3+3WE5dWEtVsWo5zXvK1LP+/CKsiZb9SO4y2r7RkVHCNBa1FSC1CD7X+1F2Sz2KtdQIhWuLTrb4JMHpb0IBtllpa4tv359Uv9nNVG9XYkXHcCV7Xzz7Xnt2MRct+zWEVlE50SJRe5Cg7DisdhwtMw4ppYGSglcM1m6sto4DkgKxFoqYp8dKRdEOaAUNjPy+tUXuc+XPzJmrH3dnT7LP+ZMNFff3qSOy1AT7GMMFdKYic0G4F0IS0vXQT9p0Az9UczZI4J6xrwcUl4ejmgXBKSLYJ0VgzPinR1awBAgjSVu73Ssho1tiWXu5uPTvNdFbjMFNsZO9TjwEqxIaFNOXdXwW+0Yn9l65XpIjCwkiq52iay+/7o1NrA/o/D0FSoZS1AZ31UMLGfABSjzASz8pG1QC62woeeNB33wusiq91V2Y+6OyCQ6yZUsheFymXrvzKFYYTAvlu7T5cfb9TkWn8aeHlyYeiCHnpey5AgR45dE2tYCjpT3CuHSDGOU0DpKS+/3ivKWKHHwpmcLSgfSP8dPgoO33DB5kNASIKuKrDULVCrFeHCXrtyP9BeaeAG02iS2BaPRmkHVR4sAM8DwtI1Gln6NAEfn3DDh1C324kYflxw/H1s9A1ffFRVFuSRh142a6GzHDCNrFZrFWA1q6xJTPGvbsqSN2NtaGmX+CxzoSgUsAV6IRq8BtJ/AUBNlExGuDVEo3n6d7jNlCeoVkBph+YefarSgghH0VrfbIqNgtbUfjW1a9QhtYKJB1VtgxbZKIvR6KhWbFFHSqdXnJTZqMhuhyS7Cqg/Dke1ASKYtZKGmyKwrES/C+133I+4jUO0JMCLZm6nlEwkay8AtUOcG5W0qNGrKAoxvRMsb81iZzAae+R+Fhb2dNBnNpI+uJLCJPPGnnAK7J7Ozd4+exbet9f6RYHSBxYVU0DtenjvrxRFlwJCEPakXs7Q/TyvFTJN0HXF+P0Jx69PpJJZ0WI9bj6BrZ3A1sH00uPbNaLrM7p0h5eXEd3HiHgRpIsiTYr+uaL/xPmZ34xwCzNXb9UuAkmh1XoUbb7KWti/uZ9LHgQfBvadgnuXDgn66y/aHPYEU1OwgqK2vZvUbyvUyUZdbv3MAN/TsfdRqiJcZqAC9a5HfRi3QF5gwSkglmg1aziAAkKq1H9oFHRa7Wln9HfXWDCLN6m7OdbzGQe41YnZYe2KTXp3oE2dWxa15wp4a0w7W6KtT5FNUNGLHPvCrFGx86lr2gphrRSZsnm+PADzuwrtiGbwOxlAlT4iLkD/kewAP2MoIhlQccuY2aPMkgtwHFG7aAwJ9th58EnKpGeVlnBV2/t9nUThOZe3/VUA1ENC6dhTli6eBPDfQ/YvYVAlK3D6ewrrvGTB/JgQoyLGCs0BYRajEvIciIsgLgEhUIQJQENDNfWQU0f088p+6bDYGrBiDP8tbwU9kIXEHnN7Jquy1xSA3h+a0nTtDPGbM+9z4HmczgV3Z95gNZaVnLqW9LlqbZwLNAgW6wvtnjPSdUEdErKQbh7dNsd6yushIZ9S67WWCvQ/XMgU6DtjOADxaeb6Xdab/mtNgnrsgKqI5xWxqCH5BcCAfEwGGvgD5PPKxw76izfb/BdQ1RxA95JNXMrFzSy59vNCgThlpE8UJcv3A2O2tW504SSooCXOeifIB6Jm60NF7AtCrOjuZ9QqmKc7aKCVYFwArECaFHHdWq8goNVRgCHI0pKPNqe7iPrItb4eBG4xo4Gf6zYvvj/WMaIcE8JcTIh1W0vDb3ssj8B3/7onUpkVsQgwM2a8yBHTpccP6Q5/mz7DuiTUj70VAoHlHedu/dADQZHfFEgWHH4Xjf4asKIDomL61QpkwfBtQpzQCBZhBQ7fMOZaT/zc5NTbXvDxn1KNebnnv43fA/GqSN8rjt9QtGp6F1A7oP8+oj4HpBexAiv7PwF+JuO8nbeqAiiWZKtAkyLfKbonwfF7vs+TrzIS3e2uguM3FaUXpGtqVN+4KKQI1uuAfFcRfsme0PrbI/onR/npNvCb/2eGBEWdI2DtEg7s8DuBH/77ESGzrzZNDgYS6Eodi+TT5xX1PqN76nH8lswQFf5bPgSI/W6arP3N2FLTexZlXNE5j0D+ivOoHLWd6WL+v37ttee4TV8o6lDZfvqbE7RTyNsFqWfb3bcvd7i+DIiXANSA9YcHSAHefCPoXhTnXwiuf1aRXgIe/36FFGB96LDeA8ffC+5+r1iPiuuXXFPLlyviKWM6jwhrRD6RLea0dzHASqoh3PdbMfU/9/qTk1zdbVShMEhTUxgj1UURVwZYdQaKNUirMMtXEWiJKELOulc/SXWoDMx0q1rdIF0Brcrr3metj7ZV8KT1Krg3oI49dIhbXy+AzQ4lbBQyryoHaZXLFnB00XrdjLK2T3BlQ1MYFN8GTFsQsVU/vXe12m2xR9RodYP5I4JKk+r2AI6a2sHYrCIc3W2b+S7BeYVmNZTC+2KaUJE9CAvst4qzBUJGnWu/G4OJYMjmMacWUPVx6x1IXOzacUPRXhEGO3gX9naXyIVXrgwsvbqtlQGE7KiaTpcVq3zWtIlWcSzs8ZqAgx82zcJIlH5zsCKKCYPIskLzqwTL5nqYVvTnkYmLf66An1Vhc5rXLB1Q5oAiEf6wxapdwdYFjbR388vGv6GVu17yn0UtncbsyGR9tfhfJQU3qGmwAXklGtXe9wqJbZ+zpxR7Jd0o/2rXphEQluaBZg/hZTn7uF3v64Y4BUNRd2PSnsEuoW/l29veaSbMhsIupmZhnysimxid0aZ5HeG2oNMQQJtnXuzy5Hc/JF4k8GekasI7PGjKyD4tHWzcLcktAyv/UgXFaF5eLGl9o55wh91zy+VVxdP3mg3tQNgVXiw4VPMdj9cA6SJkEuiyQsvOA9nWE+YZ4bqiu2xov6+dUjfaXrsEBXQJyCqoRZC7gHpN6CdBXGBqm0TZ4pRR+4g8OB2zbPfa/ujNo5d5E6YBcIMOqaOpVoREoM8pAugzuROEQgSFEfcPMOz+zRTUvcfWGS+N8dAS1wqNI/Ix0irkmm8Rk901ituwWe+zFIVm3GhBOBpJ6ysXDwMUZhnkZ8q+p9qLKz5Qdi7VgX3zca8X4c/Iil3ibgDWwoOoXKteRFHdwEO7L2e/MHDa2AJO/atjBbqKMBYG6ysTm1p4tvie7NdCNdzwU/bKagnJTkPCi7DVrP7YL4rWs+jjJ35GiN7EAFQdv93LaqTQoFi8cYNEVt6jF3NCBrpnsF1pisiHBE0VIvS19b5Mb1fx82VvgdcYFh2AhvIwMRRzgnDHB6m1UVD92e7ZZhoFsuLmXK/m71oG2tfI1fbUwPfHa0aYM2qfUI5GlTWVZKksgEklvVq7DV1D4LPwoo1YYar1tlYAgz0jgEUGL9ZfZxMD6wxssAL8/oxStPkugLUklK3XvvRbIdZZET7fE1szfEzaGlVec7gsP0E3m72hKq/TlJdjnxgGLiwwahdRQtrihY57eTlY3GKK8sdhgargOlaUkQGL276E4uOKhtg5jZtIn2ybkcW4NQnyaErYnaG4tp8TOdUtLrJ4i6wdBV5p8aQLUN+QJuqiaG0NBkBmWkhVUawCYA7oPxKpXN9U6FDZWjXzLNOxQMHeUtrxCPIi0IMiHjPqauKLVnDg3KIir5pAktsehZX3ujxI67v19QYwd+jOBespYn4AxPo4w0oqbGNMGHrpaHExKyJbeBAYU0OBktAE8bqzNtQdSraViq31C/vpy8C43BkQycZXkyB2tJFcjJbrz2N9UPzzX3+DIIp/97svUZ+DzU8/k/k9yyO/dzsfuZbEroHXptxPAXQvjK+4Z5EeD6ApGqPy/+lZT6GxOBs9OwKlZx7U2klkl0/5fLLvrHcZ3d2C9eOI7kdjon2m6PoMVWBeE3QNDXFPZ97H8LGiOyum9xFqjLV0tr2iWtHsrDj+Ycblqx7Px4j1pAjHjH5YMR8GZOshDgvnuhQvWnKNwNsB/1sluQjCPrkuQdaKw4+UDN+SDFOZS0a1yGo0AaJeVQNFVzJ5490TVdcOP2R0TyvqELGekm2s3lxvQWe1xE6EG2gIGwt3yhQlAFAf7xhQLOt2gFer4PedUWe2A4TVc1a3GTQkaOCEcaqbypZbAEzmEBRl6Fnttg2LptWRir5AO4zUe5AsYKk9N6rgQV61qr5uVGTaLRRO5h0ySSor2uc3uvI+sQGYvPeGQLtlxPkKXIQ9Zwer6sqrpMcDX/cMDv5cK7Bko0PZe6MAoeM9JvZXMTCxKqstchhdpPag2rYoYqKXaZ4SdOFGmyY1hTXOoXyMwBgR1oi4Vrj9iqM78ZqhsaMIAnwxo1FhnDrqzfYqgjJS3ZIbmSLcD+jePiLkATjv5nrfUYk1V/Sfym2Pkj3O0knzWANMxTJG1Ck0yfw0CfpPVgBauNmHbJV3C6A3+uBrmNLmggfMffdTCuL+fbn89Od7q54utSTaLXnECxtOTzS7FhUBeptTy6bw6zRxF0uqRyp8ylqtZ2tLVlkht7+KFSz2CbPPN6W4kq8B2h9tE18AIrFWXGJv6S7g/xm6uVifsoyDfeauz1YEzU5pV9zae0fDhEx+Qq3u2O+rQ0RNAaULZpQO5IOiHCowVHSnxXI4RS0B+SU2ag+DD0E+uRdqRYiysSpEeMoDQGfr3ZIzR3A0CXJTOzRRN0MKKOpQEbIFhQqqG5t6sL90HICVSa/kijjxdPF1JDWgJkXpuI7iIlsSJF6xZkAzLKQqxQWt7zxk3k+YFZ0xDMKyFRtu5gCw6S60Ao1uAa5rJWTuQw2tVbOWs3NhP1a+/8MoX0xGwYLfEKm/AE+wbG8xixIFk9/8eAAEWO875ENoQSuv24Jnmz81JcA+swX32YL9FNs9xOvK6/DEoYub/ZnuEhH3ml0zP+uVcwBMlTmshb2WNj8AUK/C+ucbG2FeuZZcoKtsY89fAmmVRsEOK/+t9Ox3zEe3m6Dadn9c8MXjC9Ya8OPTCXmNFJMsDFzmRwag/TOTVekCquomWmT37sUirNkQeHvmVljMp4Qat7+7f2koTC7DGjjfl4q0VDob7PxD3TonrFTu7s5kGs2PVqiw50jtBo7Des/zJF0FpfTcBhXor4L+CS3IblRDK2CpMTz6J8YfdTC01c5ahSHsVjxk/7qxDFJAOfSACMLMJNWftUZBvaPPhzsyBEchVTfF5kz/W6gXFWjJB0ETXeLzJALsfseOLK6nhDzGXeuY4PrVCA2C7qUgzgXFC9uwpAEUsAplRH5zwPKmR5wrOqfV2j0wYFeLC62ob3M/PF0ha0aYFgoJ2Z4EW4ev1xyvHU30rw4RtT/aPpZxYz1UsTFlTuNWoFIlYn7XcR8dqCC73jFpWN9U4H7FeFzx5eMzAOC89FhyBFJFORjoYMlrHugLni4VcSm00VoL49rEIn56KYhrRY3BkozYRIWcfrs80Bqnfwb6FyZyy33XCjBNwHBOUNnmeRmA8RkIsxWDElG9+X0ls2iknSeeEvqPVBrP/2SiFdkztUNQ/IwS4BxpqWUJa1iB4UNAudIKUQpZEWFhTuMJbZqY0MYZxubk/8cLrX/CBPQfmbxP7wXnXwPjtwF3v4f1I/PaHcmmlovd48hYwpOjdGaSWpPFeNE0gmy6hJXreH5kMaI7M/GqvaAciDa//DK2uUwmIccvThSM6p4B/d0DIK4EgBYH1iHgb7/+HCFWegwrf67Ces16z2fl6Ku6aUMnKKYsXXsmq5IF9ZzQvYDaMQDyXQ8cE9Z7wfSZYvgo6H5QpFkxfKyoveDyi4j8UKAvEc5ojBOLgN0L58v5zwTLF5ng4nPYGAIiKCee5eG0YvolqfmfvX3BsVvx4XLAvKSdeKoxI0fg6S+4D9RO0X2gevWnvxwao7J7pmPOh38x4vq5YPnrK2IqWC89rueEEID5HdHsOHNNrg8VGoHj7wPG79jemI8URfsvef3JSa6rVtJKQ9F/yqxSDd4LgK1CaghXq3ItfPLR1N/iDPSfFN1V0X9YkJ4mLF+caKw9q0H5Vsk01FXUoTqglSUUCPMKuUzQ44h6P1A5d83sQzRqDtHPyN6mdati39iXRPlJQqotkdxVpnO1Km5AOUTSQubKB97Hm2p1U/IDWsC/78uz0ivCYOqo9r3iqOWuD0N7o/HsaHEwKvdNgmOIWx08qTc7mCupiVJOWyLuz8qrqzukRc2cXUpuyp4tEDX6ahmTVVuEdlB+AO6SXKoxcoF4gtt1jBLOlWgQK+zahAo0csMDSCerlgi7p186r6wej7tp7dVOC4jygWpzcQbC2QO2rQ9LiqAcE+L9CZrjzXi4zYjkiv5p3ZAF7+cRIMWNSsJeNP5unbnxh7xtlGE1W4BiSpuuGm7V+XaI75/hvvdcBAhKUab9a6+8/Doh26uoilCMpt/R2v051gpX8SaKY5t+2KatApvKd0QTvChjQj7SRw8TIEERNHJ+is1T76my6/1JT3yjaHZbcrC7btKiKxNb/1krBtXNVkh3a9mTVUucndLsTAVZM6nMCLsxLLTYMtoyAOz9a7mWmeAyOHM0hb2IdVAmuMcV7x/PCKIoNWDJER+OA8rMQJh7ISvHkIqwWGKyVsiKjTbKC7553KQocv9YTrT74IVyTpdODKlh4EWBm8jkPGfoLvjXMQKXAHoFVcSp3PRJxol7Sj4EUpcXcOILKIhiIiCN4eBV+2w01WrV6loQXI3953rfAdxQ7HeCYT43KSQIxLyQft8lIDAx9M9uvXsIHLa6+74AtowUL6p0WO+IrMULhQ3FCmnuh03vYxYiVhtrV0eVqghzZfFVAFjLShmi0UeL7VdkEtCCKlGc8LrezH8qZu6es+6KYCYW6POcDyZyHZWd8N608Gw2n/NmseR2cbU2uiuOIzREzvXqZXNs88jYBWGtzf+z9MGsK4B6UKRxxdv7C/7l269xzgPmNeEiPWZh8VQTxVIgTKr2CFtYawvUfSxlLWitOPa8nKUz34eG1ojCVJ3RENW4yFb5F1DkaTfPkSvidYWKID0rxj9UlLsB+PMDSk9l5JAVpRfkgeyz5RGoLkZ1FqMXMjCMV21Krd6HxyDbWi9yRXyeILmiPIzgAQk0Nhq0sXeIcm+FP1f2Ha4rwstMOn6fyA6427d/8KwO5iLg80eKNsVujYH2NeYbzOJYaO0NFNXcnr1UtMJZ/1LQf1yR+4TLe7ZcjdHE83yaNmRSKcZWWQya30R6JVucUnuKPYViBY5SIdcVCEC5G0jLD8JiagiI3ju+rGQLDd1NixgqCxkAgLdHlEi7pTIG7ks7BkZreVjpo16OViwztLocKKjmc209sN88HwDcr3h8c8HjYcJfPvyAc+7xn5b3yCVAEq3V2nxVajJQCIhCmbRK0hYDqnBPjecVYp7qtWpT+I0zr7UMgvVREYxBoQJc37P9r3tWdBdACpWiq277Ru0U6ZPi8APpt3kU4FFwPSj0UCCp8ny+BBy+Fly/BH7x1Y84dQv+5v/4FcLLRpWWAip3WzxWRkPxruA5Vqj94GvCk2qpjOMoRMTPW+8rypuM7rsOw0fa1hw+VNQIPP9lgPz6gms4on/ys5RrJV0IDqx30nxq88jPnN8qSg8csyB8op2TZANXRjSU1gvL670JOn0oCKtiescztxwUkwmWxclC6RNR/OF7QXdWDJ8qTv/xAwDg+b97h+nNVuSpnWD5dkTp1JfCto8moNxV5iglIKhsOUDHJLihy8H2jymiOyvCh2cgBMQukgl1ANZ3Bemc2Ap0rjh8fWGRJhwgp0y/40IkPplP7d3vC9Kl4vp5h+5+xnrugRdjtMws8DmiPBxWpPsJQyr4s/uP6GPBeelxnci7dpTVPXSnLzPklCE/9Bi/5Y1dfuEFUibY+UAhsfmLjP/+z75GVcG//Q+/QvqUUAbF+qYgvhgdXoByV4C+IvynAXd/yCijYD0G5PWPxA2vXv9VhKfcsF5KB2/cZ8VXdzRRCxAN8vfgSE1GnBx99m2FDOT7rvVXhlbltblithgAq15e9dUCBKmbEIWjXTN7O1oPiPfp7iVl6fAAAQAASURBVFUmnTbmIkqe0HZESEx2mJthrUyMd+bpNPR2xWRtypsAmIwCTUGv0TgULWmXfTzulUBHY51y5MjDfvgtiRPVTQHZX3ZfjtS1vl21ZCkogyMLlFoV1w/NhhabbYzfu1FvpKl9+vtD+++fE8vwqiREkZ3iVQSqQs/Y0kEraY4ykwpRTXq/iYpYX2F7Vl7XiDzAN9QQRqdDo4jt6XXWIW39ZfyO/oWHESkR4ZbeFpwCq9t8UWn9X/y0DTQKiXO5WiJfE5oIG5NbzvMwe6L7KhnbvWRPHW/JrQXW/juemPq/A1tSsP+ZMyH8Z140CVsi2+b/z1GY/VF20TwoQ0MR/PurIVtUdeV602C94/sxVTsEDDlookZ2v3sFYVKiHUm1e9rbaTk92Qs7Md6IkrWxbYO6uz8fX5HNh7etXVNk3tu86O2zIDPE/smDPP/IDGANyEvEee4RRRECGQs+abgnEtV3/QENYMAi0h5du3TF9v2wPcACMrViThmkVbpp3SBYK1AyENaAOFcWx/oeEipgzHxZbQ71zCD8fX6tZWDrAW1gQG8/8T0LcHZ6XHeBslXy42QJlBVNvEeWe7PeWgHd3DCff+upBYzJU7f5v5vjGgK0DxsdUSsp4s23MWzPCpaIK1WDW5008UbYJ8gCR0Ns/SzTbc62wp0n8nbdThffrySqFCe4hgLbXXbVI79nE/RpXqKO8vorBiD225qAJTlzbgrSLBBZgTKGrSBmTJ5Gd65bMUUdea4VokKoQhVNIM91DRqKBMgiKGvEyzTgN+e3WGvEvCaz1zGlzZksl3RVeAuKn5GaAlS59zYUNwRox3WgXUQZaMflKE7trP3FAixnLFSKtKJ0Zv/jdjI73/Ny30PMj5X0WM4fn7delHGaXChMboPRo33dNpqhrXnJPFaTFeXDaveazBnALA6DFY+qFUDiJTfmmKbNbxS6FcsBtMJIGW9DN3XbHRc1UzR7IX95Qqt9gHgBxdaOC/j4euD8JsZMFhWLY/mUUPqAuG61IiLWfiHY6LlW5OF48tyTpbZebIVAVlNlrtVaznYJc5+AuyP9q72fvYvNP5gIeWHvuQj7y+2MDkux4jF7ot1tofbs6SYlWeHCTtw7QrsHWjVxLEKBCU0K5qHDJz3hMvWYMp/Bsi+G257gwkcu/lPGAKmdofWKckz0hwVQh4iQK/IpId9F5DGY7yiRPSLegKxE9+YHj6nRzgquRzVm2xb8d898tnmU1tsLgPHrEoAzQR4BML8H8qnih/MRH+UAuUTESVBG0rNlFfRPtzFXiVsLcLxK6+t2caMyEPkPRZGTYL1nPyoEkJkoo7Pe1qMVhAqwnjscLoI0VSKcR4rPds+OHto12Hftxd5qx/5pt+xDAPJdhfYV8VNCtzJZPn5b27wEuC91z7Ihqb22a92zFPLIwY+/fgQATG8C1jthTLf6+xTq1nuwBO+sRIRNzKlGAIk/K4PtJyaiRUEmS9QLi2znf/UVIIZiGjDTfYgYPgHDE9HOp7++Qx4tLv3QI13FbJw4RqXn9cZTYHHi707odudYGWwvi2pkt4CcAyZ0+PT8S0AUh3HFm/srfqwByxyMrmxJ8iWg1o57pVs8rds8RYDZA7Ho/m9/8xWF+85x20OCoh4r5hZLCTBHlBG4fJ6wnqi8/d8MyVWvrpUCeTiwGliAZMIEW8XKqlorMHzg3bjBeHdVpKsf6JxI188SaurQnSu6c200FalKilWujaaHYihYAFyRWMWojrUinCd4zyDAoAorIJPZc/grCHuUPHBP7DMtvdF4UgBysI1kR/GLQmugyH9LZ/s3S0yL2ejU3nvw1PqarMLotDhfSCkAa209W+oBStgdWp4IW9DFyr3ZJ3UUyZE1M3A0g3dSiU3F2czVGWDaNFgzhbn2PcSwICN1RBymBagm7hIc5eNk8w1OFJQ/C1sgCQsUXK01H3g4hkwlxZoj6oUUiHjZPAfzYGJYFmSxD6Si9IEqzBWkxgiIGOumAls7YD2GjSIdbOPtAPQ0t5bqvbEMxN1vjpXm7fCSoduSxlxo02CUKSplWnBUhMUMBQajumlk8SCUTXQlrjyAXRwjTHmjzf90kW0RhT1zpxF7YirLSp9iET5/v1bvt/XELRdDpsL2e5k9gzDRNdLa5Zbe5S/fDI/91v8edv8WSNdpaKIGCxgprFN7p0Uaeh0KfSpLhZq0oPfiiW73p5Z0UXQqM/n03p+OwY1cJui80GPV6Zj7RP91ktu8SUnZlb6Hng5MUkyYC7ZO9nRQsX/b6HJsI9DqdDMv9LAyWl8CaulwDooQFeNhaWsCIAVr/Mg9IBrqUDvS/cNaERILXs1ial8IsSJTGQIpxD331fkNsD54HxF/vxy4N8eZlDLtE8LpRB9TT3KnFZoS7WcAxMvSvkeDII8MwtJU0T0XaBKkma0W8wOr7mFxWtmmxzB8WBEMBa7meauJcyzOAWroUtuPd0yDG0q2edJKqYjnZeu33XtkOwqqoMXKsmJvmVTHhL1+QvNetXnprRFIsu3Zvl/vp1BRF0Nt6AoDakVTH+42rQXfTdyuTUxcZ9OUkOb/Kk45Xi2IN6q9z7dWxPW9/jLxHLzOZCxl9jQKAGQrVFjLgdj7KDzFfkeZiSTrwxH5fkBYCuLzBEe4ECLPJGxoao1E7xMYSK3nDucS8H+sEaqCdU7QHIjgzYLuDBy+r1v7yS45EmFxQgqTQ1Tbzy0pq4kWKqQ7W/9cNGvCIwuV6cJxLgPjirJyPy5TQNd3UNnO7OmzAT16Oz/MszUI0rki7oo6Ym1XYaXdSY0MsGq/Ibi+B2pgIBuyojtXpGsx3Qrvz6eAXP9xRvx0Rnk0Gu9CJF+mBfXhSOaXFbllLUjPc1sP9dihHLtbeyEwAaVwpTY7n/C8mjAR97DaR7b7iBV2MtCdsyGp3I/VhbyUBS6xQghjNcZw3kbkD46MJTVU1n6vGtXazoh0rUiXgnie2x4gQRCnjPDpAvQdyqnHvue8nHrIoUPtIsrB6NiWJEvmHhjPlft+36E83kFjQLyuCOelnV/NO9yo32UI6J5XpFy5D/g5rn6GV4RzNc2EhDgrhh8UXQ/EKSJ/iChDj29PB1rGvJ0oQOZDkgVxZvyiyanFcRNIszk6v+E492fe2/S+w/TO+3Vtft+zlzIugnTlvL78gnMjzpYUJUEeFd2FAma6Azvu/lBRH0l3bn2NMCpoDhi/C+iegcsvFdM/naEKPH93RwGpH4im1QRoXyDPCcc/cA+8fEWBzTIo6mhCTn9gvLfeM8bKJ6UexZMgLAqMwPR5RXkoCC8R6YlARj4x0a02V+IE4PsOwwdg+FSQx4TlbQGiYvy2Y9JkwAcYMhp7QiBZkUc0P2gAqFHRf3HBm7srvsnv0D0njD8o3v0vPwAhYPrVPcoQMHxSpCstdqb3loj9ckJMBcs3R6QXFh/We8F6L7h+0ZPKfCRiPnwQDB+8aKdUI7biV5yBww8V6ylCjhkiinoJEAiW+4o6VnQfIo5/YJK9ntjy472uyyPw+/+bxTRWTO0/0irp7uuM429ecP6LO3zzPwF1LBi/Tjj9JrT3skgFoAPOJ66v028V7/8m4/pZwtNfkHWW76zXta8EnIqgTglyDTj9JkIKMP1PL/i//uIf8A/jW/x2eMT1PKD+bkCcBd2nAPnI++UfxfCRYzK/YbJeDorybkX8mHD//2G8Nb1jMQVHfne4yzj8csa6RtRvjwjXgPVB8XQQLG8qwhdX6HTBf8nrT6crv6I4usR1g1C8sqcbFWdrfmfVIC5btbLJaSuDpFA2sYNGi3WEE2gCFqyQ2WQ3TywV2YKbHfJxS/fcwSS7xI4y9qyQBxNs8UTmJ4G/JaF7mfs9RWF7D6s3wSlyPgoiN6IXzWLDVV9N1r8F5t5z22AHP2hDC/ao2hz4hF9DQf7aI2I7QZ0mgrFXlvbqehNTUSgqkJJVnrfxgT1/ldCCv+1z0DZbzgVBnhiQ0u9RWu+qU80gYNeSuOeZtP/ndVqgGVk5vqlY2jPgoWE9D1Yla+iL9Zw4ZVxXE3G4EcfYJRb+346y7N6nAEQ4bx0NqCosLFSYEAWM2mk0rT1CEwQ39jGvX63q/DOvfeK2/5n8zO+8Xg+eCAfZktaA7VpuxtP6wbqwrXWx5M7W8F4Fk7QlIY3TBGwo8IWG5O6TUBeI0vBq3e7f66994L8fn5+73z27xYtEryjSrQoedmOz/27gdl783LOwPS6Y/oBTtOqUUKNi8l9db6vS7deFwjkKtGSJ/bDCvtdMhM2TtBqDFVO2Yo4mHrxB2I8kVbbpG72q/9Nrl3WFuDUY0NgdREOlrVvfn1EYLMtuz3M9AhdUa8W8PR3X9gfXY2v6Bvs5GZhgqf+Cv2UnyubvbSwVf46+h7a9UNrfYfvt3pLERbvEez+T3Iw90S2j1wu2/cJYOtwfydYJqNtc8yKm77WyXTMrf6/mkBV6f47RcdNG0wbD5vCOzi3ev76bTzcMENVNvG+/nzTk19dhbM9Td3Pen6/ULfkPmcG9zgGLsCClS2QEup/fu70fNpaOmDUkPvrGwHPFBaJc/d/pcU7vc9VyKUCIguruWO7y4PvI7h7CSh0In5u62/fanqaG6JYtYA4AXLG02aFwa2vIfus/XyxpDHRZcEGkNrctSZVsSH5nhZwusKaxelHezuNuW5dtOHcFtfbsfE6nwMs2bYXGtrDncPM5tn87Qg9F05twJVaNG+kl7M9n//792GG3b6mNt+kz6Kv5zu8XY8NJW0t+zpDS7XNSoBC6SngrV1Mj37WB7XQ6xL/Gi+U+/9w73Ke/xz/wNQvz9pb2rEk9tvWf+d05R1RzTZDVECxnODjanfjJzsKp1m+7FylssY09p70ic01u66WtBURMdFWKhbyv9wufq2rPwt7jmih+Xz7XfSLIEozZoKYIrECqLc7y+6mDAQ9nnnEu6JSugM52L3YNZSADQ4pA1kD18Suvv/SKaGPjoAUsDyhD4PeuROjVkjWKWcFYSxwj9sR7W5oimM5PKIJlTniOA8IUqK0DoDweWLg9kq7vtHTv5Q2LYL0klBSbTRCfxe3zKYPaeWvoLIAw0Vpsj+bWyOvWC7VLuonFEOrTRBYeHJBp64N/XNAOALVfq62rQn2E+bMD5oeIeihAVy1e2BgFAAEetc+CxaNxqqYNY+fAkfsHirQEN5yJ6EfzL17nhO+mO7ysPa2DCoEiWRlb16BwZX1AmkWos8saA0GcdWP2XB3PELwklFNBd88Ld6enDTAC8hyh86s2vT/y+tPpygMRPq2sRnbn3BaqhrBVCWdFsgfenC9MVCisFXGp1svGyTR+IBIcltqsXTZ1PyKcTsnyPiUOqd8Z6cMaWA12L1oATdgAwCYms6N4SK2U51/ZNxbPfGAUfdKbQFq9QjjG1tdSE6kL8VrQlBOronSp9Rc7RYIUZG1BZ1wolgFVlAez6fFgdEgUpnLhkhUM4IzOpWFEszFSZY/tju7miKAUbRL+2nfsUTQ6oOQKOV85HoeB9jV53YIE/5zFBEuMOhWWgjQtrPTb+FRDmDa1WD8RAef9d8+CeO2hgX0ovlntaYCODlNSP7S+hRq5gUm1NZUipMbNyy5uvbbrg5mSn2hEbYPfgjNRYLkTqCQcv88Y/jAjzJtUoc7LRonpEsd3LUiT0f761CrCaoeXJ+McA7RCTVgU3fPK/3YEd9d73QJW96QESK0CbgPi172M3je6L3r8MUZHtiitS+zPC4FULp//++Ajxkbz8msoY0TtrVJoSFEZNzTBad8blfZ2q5EiCE6T7hNaT1WtrOr3iSyD63IbsAch4rxLSKVRlE1UynQCtvaEQloz0NZAG6/dOOq8ANPE/tvjYWuxMFSi9eH/XMHMEimn1PcvFcV257gQAckX2xcjN+fhKggzA6I8bIqRocA88Tg+FQACxxy6Fd08KC0j983SUUStOE1sUJSOgYpkoKubzcl6F9E9J0StQN0q//rjR+D9F8A4Ngqt+3GK0Nok7FRjvYgZYKhCZtHSrWK81cTZKGFaEaaMeuhQDgmqRuWtoIChj2cMRCLPV87HvoN0kb2E3gri9Piha9YfYck8bGcipNpF6E2P/hYIbwUaIS3cik4aBOvQtTYVVwEtA8d7PUmjdPoYAKy4AyAdfKrG2KhcC47whwC4emsItN8zRDfs5qafUf6eti+bAOANMyMI6unA7365QC/XrcgZAtSsZ4IXKhGtn3HXohAEogKZMyKY4Jb7we6nUMTRz7ylIl0qQsfiQi2C7kW281a4V3h4FwoLLk3RHopUN9aW75PVil+kdiritSKs1iN5oFBV/0yk5volBVzqsSAcM7QKlscArAHdBwZlIXO+qwAyLZB1Y20dfv+CTmcmHMee9jHRKelA90xBpbBGSKWNyHo0VNJo+tHsYTwxFAXSzLFJzyvieea5cNcDMAptJS2+vjki5Irx6zM0BJTHkZZMJzIlunPdxv6y8DqNbiyqSFNhctQbGvi0IiyFxQD7s7w/bFNUDBkH12u8GnBgiGg5RCx3u8NCgOU+NLptU412az5Lnpqy7WqFW0sEyGBjwTmdC7rLsgmmNQ0GtL1TDx3mtz1EFd0nxiZuGxVKRTpnUISGLXFdYf977SP0/T3HdNfD3hBci4F8HwtTocjVZaXwnoMq+3OybCJYooo8RuCRfclh4X6tUbAGJUPmY48CoHsyu7QrNTekkNEC3WxqHOGCUBzJ+/zzyXqUbT455Z5orWB+W1EfVor9rIxn5YFFptNvA7ofyQLSGKB5FyPs9mhNgmKfLQqgGKvtZPHWp45nz8TixPKmkqZ8yBgOK5ZLMtVnWtvow4q7vxnw7n/PuHwe8fRXZA198f9d0f844fzrI6Z3ARoUL79g//ThW0C/i623dvpcMP+yQs8Bx987m46itBqBp78gC/L0W2mo6XIP3P1G8fbfr7h80eHDv+TzO3zD3t7zn9GSJjwlHP9ApDr8bwdADnj8kf208xvBP/w/7gBlsiwKXH5RUR4Luh8Sjr8TDD8Iwt9REXh52CVrrjRlCWk+8qwNCxmIosDpN0zO88kKFBE4f0Uw583/Sq2ddAFCrlRyniqunyW8/Bnb6ciG5HdU72u+WuHB/u5r8+NfB0yfddC+QsYCrdLEf+MMdC9qySU/e6+xAAHSVHH4RpCPjB9yAKRE6DWi/xhw+j3nULXOne43A/7Nx7+AA1DpEjB+z1j7+S8ryrsVmCNVuVfg+jnnYx20CYDJOUEHxdP/sLBQk7jfDX874u4fFC//JAKfAV0sTGyTEpwSoP8kOPy7AXWq+A3+86//CurKtjsUo0dlpQiNS/3rhuK6sET71XVXLfNk0N4S59KSvdan4+JKP4Oo3fzMK9qqW2AhCu/JcUVmJsDcqATYkE1gC4SrMsHYB7YVrfLfAglDR5zKJZVVZSZzFswHo3jZ4mgHgotataqoJRjd66ptgEbrk1ps494FajD0oSG9XTR01Z5LtWv3JMbvycWFbJzEe+NqtxUA9nRZESYlO9SDnBFPpG0O2GLa9yjyRvjHDcWT9YLlo3LC563C2NA+hVXRrPfEDlJV3e4Zuyqbj6XyF9kXo6z6D8Z1qYoKJoJMxtA2A4q77H0mK25EjHweOK01BR5AIkQ9CoxKuSlWOk2dKG/dFWxu18VPEJb9z/eoy+t/e62I/XOI5v6ljmCQstUCgvoz7xV+R+t3b0igNnG2fZ/epvbNP80+xJ77Ht1vjAv/uyHyzSN1j5TvA3z/+d4ea8dIIPJjQnOuzLx/7+sxrJz3Ko5oh58WEvbju7t+/r7tVZXBryhQpg0ZaaigPSanyTdhNVvHGmy+CKAg6ubjCxiqmtGsI6gua0jADtHVqFb0sufgayRa4Bp31+33siy7sfzp/Toie0PbVbT9FnVDPRqC2QJf3O4/r4dU2Ofv80vs2apb7XiRbnGTSLtGKzTuqdz8XWk9jq+/h9f96hoaErY9p8YogY+piYM4HU53e7DCnhGsz9/2gVLtWuTmu7wfsPWg+l6rir1iPn187T1mJ7RHrRlphO3vhfZA4kVdmz9tL9jbEPnn7PYV2dE4AQAr+xsdbfX2miBoVhdhMdESYLdXc3JswpPb3Pf3uZLvnp3jhZ4QWTBsdjwWKzTF1KECfUW0AKl2lcnOOcAdHTZ9i3pTyA7nCQJLZDqn8G7FCxe+Cn2gLaIVsBRMDEM1m5j9uQZL+rI2v3uNsRWEwspzVIfEsz1XJlpdQu0HtuCYrVhjCRRpc6KtuQqijfuYodAXWSTBFe8bPVZtjbY5s61Pf/bNdk95Pnk/KIW0bD0oICbAFmyqRVvb7bnvzmOPh1wv5CeaIT7vgtkf9Tv6elHaEiUBCpP9aoT/rWfY5kEMW5yxfznQokoNl2CFUWHC+3of2mul+F4ga0XYxWFtb8v2/ZXFFE9CPIl1yzTv1+Z4bhogba4Yslo6aXPMY5Y2phXQtLPosYtVcG/VEIw1g5t9frtotLXn/atSbXyio8x+zbQ3hJC2KmNB6CpCYI9p7Wy9DhVxKGy1+X7CejrSdmoBuqcF6dtPGO561K7DchKUO95LnDgmnfnOzu+E3tqGcoZsrS6qWE9sa5NCwSKKRdHCSVTQPa1IDwZmRY6TC16FsUCvTColA/3M7x2eFN2lYnqfMH2VydL4jjTcclcxvpmwPp3acxyeq7WvxHau+nhxz/BYdLMjksyefN/TxOLyfGRC3X8i0y/O/P/+Y0Z6nlEOd9AQm4aG2Fr3eRcWe7a+nm3/XO8U8uVMgCkLC/H2zJ2Nog747OIyb62Sateb0PYyZ6+kq6B/Zsvk8sgUiqJ7EbVTlEERjJbsDJtuzMhBoeIq4XYO9ZxDsgoVuntFd7cgGvhZK4vxw1PFdWLLizTmExj3ByAsAYcfK+r1j8Rmr15/ek9ujKZaaahKsdXjY2k2It1akc7slVrvSUvxxnDxvsusrUckXtl3S/pOhCy1VTSRXVQj2AYQoAOrlu59S3uMhQd93CW1AURkXwuciDBY8uq5o3ZrQXghwbDejWiKfkandD9FT8qlxLZZ146Lr3bSNmHvZckHHsSlD40a40GSdERU4wuhgXIgUgHvf90HIB6wrYWHZrKeWvfZs55cv84W2HkC5IGjMjEWpY9wC/bcOqjrGzKyR7HKEJt4Fi2ItF1PNHqZq04zOQ2NaiZq3nMD7338wXoGF8WufYqA45nCEdOj+wBq8zb0wNI3obBS+EYtiXM0tyagjpWV/xKgS4BKRT4KQrcpy0lRqo4uO/9QYNshfGwimqWSU8k8wNDkvT6AU7ZaX59TtoIFpwGbgjWwsQvmBc0mpBjqehhYTHq58OeHEdp3UNmJ8LxOzPYFDbccctp5LsB6sZ/bvC9MCtWExERZ2dYgtDYRK1CV0oo3fo+w5y1hC45ullnBzXxnAQh8kIGZkMyZHp9lJ8j1+vX6PveUTGBLeEw4SjPXgqQIjMPN2mnqziFA7T0tEdrTYl2srfmdVnivpCrHNE5EvMLiPZ9UxaHgmLSDEAJT22YfUH+uN8Fy7b1YxuIgVT655odPipgVTWCq2xLc0qOJZsCCfwWgkT3sbiRPwR4hal032o88PHBclhU4jcj3A6/hElrld09HVEM4ieADSbWp50sFwmyIkdu/RWl9tvG6W+RRoDSq3XrooiLcn/icY2Cg7IwHVchMf0sZOhb09s/UFLC5rkB9hW7bM1vgEoR9z4aycW1uSRxVai1xtaC0f0GzrPHky70KPVgNs9L+YRAgmLqyCcx5wN/Q2ib+BEjPHltfe63oFAIZF0O/Ibn7xM3Wt3YJMgy7iVQRphUIHD/fRxprw/eGLtl3mg/7vggkstFJ424cK5HLkHkuOQ3Q172L/flaT1faXLAnV4BE9WIXB3Q01FkKUjwa55lQIxkPpSc9Mp4jSlKoxxH2PzUB4vTB3s4HjwPspTE2VoZ2tCn0hE5Usd4loqqHgPUQNlqkEk2OS4XbC5GOi1sK764IV+2Md+9YDAmlC9BTh2DnuKwVyVhvsQtMNM13PoxU9A+XBeGykAUxJtLijWxUzb5Mu7BRtG08NMpecwt1DMhuEWJnt8diwXQB0BvFtEejzDI5tvPUBLfSxGcKAVZDgj0ubZZhfi7ECD1FuO9uvHIPV7OMShcWftPLAlkyheDsmbkdUv+JBa7mZSuxFY/CXAyh5Plajz3yqWOP8suyFeeqKT8P7OFtPb6Vz02TIPc9WgGr0vFDqs8nuoEcvg43xdruvAX7rrLtMipsVWKyu95tKK+CquDVxJnEip6esJaRe7n2FldFhfZepAeQw03h6HWb1XoUzF8JljfMijSQxts9Mdapg/XODkAdmbCEzAceXyLqKsDcI690D5w+52d3HyLwkTH3818cUSPw+O+AuFas9x30z9+jHILNL0OPjaEUF/5/yJuwUu0UL78O1luPJlbkBXPvUabonOL6WcCnf3bE9JbFLk2K8z9hglePFTpF25fssSYA5uQSVkNl+wpdA1HlCah9xHI94e63AQ9/v0CT4PqOLI7+WdE/0d5o+lzbmpAMPPzHgO5F2nxfj4Lpc2k0f4DPUZNZqwqFoarFAbVPqHGkXtEnMiIGS4Snt3QxSFdF/7IDBUFmSemB/kkw/WGAVEG3cDx9L3YRrnwQzG85dusbUppVepShM5YSUA5A/uWM4bRgvnbQOWKdpOniuFewq4LDGR4dHUuk0Es81wPSTDp67aiZoBHQrvJ7waJiPAfEr+8AcA7WpChvFN/8XwLKXUG69qglIn2KSPZZXgyZH2nv9V/y+q+D5AqriupV4B0qI0Uh80bFKqfBkly0KqsHlN2lIl5zowkjF0gcTUTEEo8doqpVIUFRY0I9ONXS+mymlWIaLSmMwIGHhiy0v2nJn9FOiEqGlqwgOJWuWgBBz9wbRMspbXNBsCph0WgBZ2g0Jw2mMLrSYzIPRm2MPDiiebRqNbpzRrOVqGOHGgwljN5nswXa7qUpywqoWQoVS5JKtXvZ0zXtP53aWnh/7an1Hb/De7uS0bujmGew7Pqm0KhB1XwdPWAM6yY+5u0vsCpVugYejCLQIze1/onVre5KSu96CljuTEXuYgH7+4B84tjHxaplhuy6kJknksAOEQ7cZNBVpL6gFEWxilcZ63ZPluTqvEDXV0kugNf9mNoZErybM2i9qdiSPKu8bTQtMEFEYD+iB6AWZIpbPK15qzj3HWqfmBPOMynj47DRmlVbJbz5vfoz92JHZ0qxjg5MC3RiFVB0hFbZAl+7R8CS8FZcEc71AlbgXXVWd7fr1f89rXO/Pn9OYMv3jVI2tG7/c/9vZyq8LthY4aklpjfsC6WKuHl6t3EBiIhYH78ApDH/DGquIhRmcyq0J9ml0tsz162deWLSXEZDZrKJrIUtp9wLnkUrfqmrge9RcTBQzwexINv2v7AlrE73ZFGN9B5E7o9bFd+LgnYApwCkBKnbMSDH0ZLDjCq0L5Fc0ZVKb3Gj96nXyHbXKkURyxbkQvETL2svlADY1F/9uTkzI3Cfk6RQHeAtFq13PQiRGWdR1E3J3pOUhujmagH29jy9B7eJ9ZSKMG3JYvPcNHpX9V5kE45Lk41nEsBohcGQHWeapOiJHhGqsCjiVDZF/+wiXMb0sIXiQ7fXbABs3IduS2ZF0BwD9mtpJzzYEMA5o3k+VxMy7ExJei3t3GusLEP/92i9o8612yzTRBmQBeEci7Ot+cCxozLsVgBgUOv9lkANYhQ4aXslb89YDIYcOWV8P9/FEJ+SBWr9LDyS1ehtjgBbkTkGoOyzgW1f0C5ybQGbd/pRrJBBNMntEENWdBdF95yx3ifUo7TnH4rPQbR56WuXvXGFbUYy2jiSmhoK1Zb5PC3+SGazhE29Xs4TZF4RcOI5XMz/VkwgbZQtNtm93OGi9YB2guW03a/38TrCG7L1iVrPs59lWy++TQmRhkjlUZDHsL23snAX1tqYCrqjFIe1QqxNwu8vTsWs9Bi7hWOPOjp6a0XE89KcNQBQbdkLsXNt+wwi45H1LiLOgcJitn+wRzSataM2ynYw5etyMmGvYs4Hau0jlfFKjdyzuwtuiuzpusV3ZdhBPeqJ60bZl7yt8Xzk+9NZkJzVaDXP2hO5RKqtiBMS1fnV2XOyn3N6U1cuIzC/q6hfUJ1Ti6CeI8bvIsIKTAcTh+qNEpp5trJfEwg5oHsSDB8Vy4Pg8kuOx/htQJz4vdfPAvpPise/Y2a1PCSsd7H12AIsCgYrBsVZW7zbHDaSYv68QIpg/Cage7Hnu1P8rokxnCbF+qg4q7TkUTuFvl0QY0WZEumyZYs5vWe+drA+YyD0BdX6drsz10WYBYfvKsbfvaA8DHj5ZULpBcdvC7qXivWUGn0foohFcP/bjNPfv6AcOtQh4vJlj5cjk7IwM/mrHZ+j21RC2DesHbC+zUj3K/R3B7z7G6B/qbj7+wvzlL9+gErA+FFx/GaGLBXxeQYCcP6rB0yPEekM9JFofrpwvpXBYolENeh8oMJ0HRX9uwnjsOJpDQBSQ0jzQfHm3Qveny745vkOl/Nont5spZJsYetqaLYCTtmmR7lbwXJM08Xm9mhiVkkRuopaGfeGJeD+77mupveMby6/zjh9eca6RgoXXiPGM1sA/Lk5/b/EVxvdH3n96Umu0wBN6VSqMvks3GjKMaEctq9Rr3xXtN5JihLA+nFS82uVbFVuR0398DaVyL0iZft8R9jGrh3s0pBfDyTtQDe07YY611BKLmDt4ma4bslEGaL1DYGBrQtr6S7o84UAHn6qr8QFjF6x0Y2Y2AFolfJwN6ApFrt4S6mk94gFXk7hFuE9VxDBBbZkFYAseUMHAohGveovbuPngAdAGjJ4QGswYYiwbdD0Hy48wDqnGgYAtRUvKFJkFaxMFColaYdm7dg7laZNXRbgfAj2/ctdbMG6o8NNdt0r6H4I6/aeRtvw9bAGLOfeThABiiBeA3ttHPHtA+TuCFkAfPCJVXFzeliwSfsYgQ7WCxWMOpoCvaJ31KEbmqd4EmPPz5+Jve8mgdv1k4Zp4ZzuOtJqVVt/9eb/GXYn7PZ9nFx1y1AiA2JaOqSWCDT6sN2HBwYe6O6p+duz3caYyK4Fpbsk1593EEDX3WC+TlgdSfpjL09iPbgP2+9vona79wFEZ73Hds27ebp7xQBC+vGn1O/dfzeUWLZxdFqcTBmtLx51s4sShboAVcdA1L0DNyroFvC3PrjgdGQ06n4ZBZBIFNf2E44vq/Q6C8IcUPpoBTEFiqFfi5j6MZFFlMKCx+t5YklUuuZWFINTa61wVUZTuu1lWxtqiKcFzs70iFM2hoBu873RzhnAqSu7WzC+FxrcenWlaQf489A+oaaAmKuxCwL0NN4+O0cmFYjWQx6SFSBiAEZTKS7a5jdsrwmODLkdng+RF62ARm1O81bE8cTgRvzFzhyxheHWJk2UaD/ndvNus0PSzb5LtflUN5ZSotdto+2/pi7+kZfGyITd2DwAWCDdIbpNE4N8VDD55u9HK354v1eNViSQXQKoPAvU5onP932LifhtKyBVECy52dOPm7iaLVGtgASBxALRyN+vu/NMgH0bA8D4QLUDMhWQ06StUOT3GitaH3YTTypcv/lkVloK1EAqohShwm3mWRj6bjsTOkG5GyBjx956Y6+04kwUINAmSVvSz4JJGROkjwhWSKtj2kT/bI14+4gLHjb2lGCzMXKkuiq66y4xgu/Nu/55Pzth9o4LE6Z8BHsF7RmVTiCjmG+2FatfDKVbbO0GIRvN4kFUK/iU0OaLt7xoEtSxZ/IaBLJWejKPm5WkOCJuxX32z9pztXET26fTlYlvGVNDOd0P15WpfS+vQ4S7YdROvO7ZiiyAoa9W8GhCS5O2fW/PXqqRSCrXvs9pUMxRiLBxnVlfqCHFZILxd4LpOmiIaLwX+yyPX/jvTGjqkFBlO3SHJ8X6KWDqO1KRTdSTzhKw+cHFV1HZU1p3CeHIdZHvOBC08DGhoWpIcORz97Pq+p5FoyagFa0POQAvf8Z9PF35s3xicg+IxXL2b4vuzj/OOw2eREWqDpsAGEWyfE9RYAlECWdpsSEFkbb9Jk5A+N2IAGB6T99WFoeBy5cB8V+9QenQztj5DX3Rp88F+fMFyLS90QDMjxHhl6cW13vBbAu+WQAMJjTp19q9+HmSkFXQZfb+1hgwPPQIc0QeyZRaTkB4RyX23vbV6TFifsvv6s42v1yeZAF0tX3S5mn3HFBmxRJHLF2P/seI4QMTxumzCu0UH767x8cPJ0hUhKCoASaex7np+3RcYFofvMlyUFSbF5wLwHricyt3Fegr+24VwByQnqibkA+W8ySbi3PA5WXYxk+AOiiK2vxYDBzw+/sveP3p6sqlABK3AH0tFMMrpDXObxLpbBYEhwx0Lwz+8oFiKXFWdGfSIfPJeHfRNjhLqjQG+qCJbHY92A7G7YIAhaCceuDYI14WyPN1F8DYgd5bImLKwMEP812Q5xtfdSr0yoeUTxHTm4g0k8KgatX0Wk0IZldNFZOSD6x2NuEGS169lSTO3PjLaF6AvaB2o1VKrcJp9E2FJf7Yel3qgShfvK6Qjy9Ekd6eoF1EfJpoGdEl6KGHo9LtPm8eqLRkB6FuKMqcd/8GorTZbDzOV+hxRH1/MjRUGnLcrDSMstW9mPBDVpQ+IKwBkGB2BhVh0fYdUo2mlgTzG08eYcIPpEgEo77cqr5aQKZ2IAnHXwUI1wC5BJPFpz9i90wai2QLYA4B5d0d6hyB33JYtFQrRe6Ts9rmiXb0dK4mXlI7M17HFhw5Sgyg9Rq56AwsKGEV9VXSsaMnyvOFPxt6yACyHRbOby2VQe7psL3fUHpP2lqCdxg4Bwz50S5tiEFkpc0p10wmvZglluCEJqjlSJfTaCgWJg0N2L+i8BBnS4InCnXrSw4CSNglJfbzn0N+/d/8d0uBmoVYKwz4WPYdWxfWDD1fSVs+HWz+W6CYIn/PBHlasaG+ug4XukqbpQ1SAJaMcJm4Z/UdkALiXJDOW0FKTSyGAQwDrdoHE+1i0OishBqxBfNeuAGwnALkgF1RwaaKVd8lgxQ+2ZCVkMV6aYB0URO7yNB1BfLGWKDYFMde1oL4tDRUZN/jk4889GvEluT6Gpy19UZlo6yFhUGjB6ju18nCF4sGdUj0DV0rwmxFG0eAbU+qhw752CGUimjrpYxUpY0zdSF0iFjfjNAgSJcVMtvzUu5b4UyrNVI8zX5pDA25UdvnnBUg2YK53oqPxYJpD1rBe0UBBZnc192YMq6WTAQ03Oy9TWHd51hjM+gNOt3W7i6pvynRWKFXO9rP1D6hjglSKkV2SrlJmlkA3v6uA+eylNqQMsm7Fghw7wq1QGNoqOVWkCTq431erYUkANGorTVtBRHuyQycPLFshRIPWAMMBZZd8cE/f5fklgAJFTGywL5/Lm39WCHKX+XUQ8LQ5lY6FyaiD0yu6GOuwB2Tu7AC/YVBJCnTmz2HRganUsiyCIvFDYeOzK9A1Hp+N2xzRUC9kkZp5vrKBxavPEnULlBcav+y4krIiphLO2M1CpGeK0Waysjk359z6QO05/pNF8ZWZeDvEWjYEv29ymv/UTF+qrh8HrA8Ak0/Qa0/PQasJ8HyAPRPQP+HTH9t4TyrUaBH+uuud8ECbmlio43yXxUlBOChb+yPsBRka3HzAD7kingGRMn6i5mtNW0OVwZXYSnonpSI7j1D3e6cARODCmtpbUOMJxKa13jY5pAo9wXSeM325kDkKazabKNc/G9L7gTryP8mBdf2ssLkaXnLzx+/NQ/VIxOO1tIC7udxInW/LMYsGWobf++d1MjvzseIshN5PHy7or5RSI5kU6xAHoHpS1J801Ogp2lS1Bwau0gDExe9z5AxIw0rLt8f8fBvOyYYNofzAVgfKte+nW3nX9HmxdHh/seI029ovbP8qytOpwnPH4/QS0T3FCnwlEERxqqmiGxxRGCeUAf+9/BBEK+uYcDNIs5yY0ghS0D3ye7FkusyAu5/W3qge1a8+cR1+/Q/LhjvZ6znHjoH5LuAy1f8/eEj1/zlS8Yy858t+Itff4cfz0c8/+YBGgWXLwXLfcd9P9szbEm3Pf8zi0Vl8IIYMP5A6nZYBOs1ERX/XJFOgv6lQ5ojlnthgp8E+UBWwqHnuX79UjC/Uww/CA7fattPAUBcCfmOVk8hA8MPsDMxQRNw+EZx/K7g5ZcRl79goejwdz3iDJx/XSCfX6FJm9Dr+sD9of8oSGcmpiVzvq73PL/G7wPilfe4PijySTG+vyKlgunao6wB6Tni8C1/b3mUdhZA2NdefujZv3uk6Xg+slWlf9qo7GlSyPIzMeHPvP50JPfnXo68Os2rom30GrT1f+w309oonlQbrmlnI2L5lveD7lEer4KH7NSgsB2SYNDmFE2+AZCgVu3VlhhtvU+A+ybuKblQbLTQgBaUNOn9gUhA9Z4Y4OYwb4rT+6LTbsj8PQC2nkXgttrqlD3gJihqKqivKaY7tONn36uvJkn7+/5LORbiQYI9Iz9oNTLhUqMq7wsON7QpT0CzCXoYCkgzbjQqWyisHrUxtN+76Qtq44Wm+Ojei/69RBG2+UcUa38dQNVgtCG0AyDaYd9QJB+GPeXbngVZBLKhplXprWkekg0VKAA9Ypl4SAGwACK6ITL757FHKV8/G0dngqlW71E4+/lNX+ouEb/5HEcBAM5rF5JS/w6FW08g6K3Ih9GTdTe/nRIOYPu3uAvQ7VBq9iN7OubPzcN/rBfXg8N9gWafkO6oqY2CacitVOvzCmGbv6+/368XIDXZPyf4WIXbhKQCPxFT8jGv2/2GzDEnNRfGAEGbkz4++/65/fh64aexP5z6rkLKu9pcBiArE1t/nN7n5XO9/S6Azb/HvtPvDyxAqAnrwdH7FFrPWWOlbLUCBKtTqkpDQTUFVNun5ebLdmvMhF72VPat0CBAtETLvGh/XiDN5/6WIDZmkCPwe49coAWkEKBIbHs65zPXd21/hzsj3CRltMfYfubnWZvzut1Lo2wL16+jaPxgu/cANOKh3+fuufDetvu96Z/1Pn//7ABOogTctDHsf68qEHaKtM4a2n8/tmfXVJl365vPTdr5GE3Z2OfbjSXd/h58fvuzaPsIyMqyeQ0bHilKBViQPl0DUNZAUZ7MVpg4cb8Xs3Fzhoi/wpIhQ3+7P2FjF7Xv3z0Sn/N+335uAUSl3DZsQ/d5xhULSl14cK9LsGf6OGMrTdr2jfZMbZy0FUbU9lxp1+oWI5xn1jtr1JlGB7c544mUxySt7cGQM/ca9ufR/uxCIn9egD3vRW7FRe17xZ9bNcbePk6oan2+2lAhv2euASssZR877hFEcdF0VACw4A9szA8DNqSJA1nhyopPzU7MzjNXia/YYpzXr1bINfQytOzKx37bg6sqRLcg/qZ1xxK4dq9tjNDOVX6f/bz4Bgsil4Ahg7xOf3YhK+puHJvnsTHVUNEUlFXEkFFLzEalz/Ro12vomxbBPPVUdbZ51J6zcp6UHpjeJqMDM+GCCQm1dhEA5bnDcxHoNSLMjIU0cnuv1rrn1Fexnl3mB3yGYWGyWI2KS79gfvZ67rCWAFSKGm2WhtidV2iFnNrBWt8UpezOgkD6tqi1RgifaSwA5oDz0mPN0cA36gpw7xcE8N7bPrJ7lq0I3OaSMQTEqM2rIF4YEy8PgjVbwc3UuMuB47gswVoEGceGBeiuVF1erGXvZg+T7f/9Orwwkkfbr6+xvb8xaypbKvIRbc4DNharIqv3Fdse6+4pu70FQVGroJRAmrIzbGy/8nYIf7V4ByBLQYB6V1CPgNREFoH1dsv8Mwv0Z15/epK7D6Ad/UwB5UAqGHuRKsoYmknzcidbwAZW+51qk0wxa3V6qn12NM85qQpZ6qbUFwThuiI8XRjEnsZbNc0UUN4eudldV2z2QKD4RiCS4NV+NQq0JiJV7mWngZUU9yUbnqq9X5B7wfwmbX5yYXeItMMJW9C/C/g5btisdnZjAOAm2ZElIzxft57CYD0uPXsEw8T+TT0M3ODPE3sn/dlEVjsBNJoTe9Zqo6mRyao3hzkpV7SRKVZVTi9Ucyx3A/IXJ9KkZqMQtUN1CyDCatTN5wkyZ4gSHfdxkQKkK1HeGtMu4UejLVfPdgOaYFXtOKZt4hvKWwaxzZ0LcPwBKOcNYVc7yFHZY8em/4rhqaL/yPkU8mYhhNQDqduq2PMC6RLKseN8K4qISiR+lNbMD3AzkWIUp0hKY/8sjUYma6SB/XXF5je9S5qaiFIg6mr/3+aHU6fDbi2qErVc2berQ8/PNTQIa4ZbSOnoipwMokkHJdU0nxIr/J2tgWNsfYrel1h6BocuwtKq2f78FE1QI06cC9GYCc3Sapfky7QA00xUtantMnmXXJptShuDQnEhVWXfbRqgI0uasmagKgXCzFZMdmPUPEWr6QqEYEG9re9Db8GRJbkiRGn311sKMIMJoV1v7RNgLJE4sw8zLMX2m40S64XAONft7y0Y9UN5C1JZsNEmcuEska0v1g8YiluwR9cOpgVG91Hzaa4UntLdMSDCMfdiWK7QFJDvOuuJ2VGk7frKuH23VEU2FD+uinDhHM/HCBkjOmDbu3PdGAwAwmUhKtNF2koBfNalQDqD7sqKdF2xtxDSzgo7Tt8FkJ5nFmXGDuWYEK65CTDVY0+RnmDz1ns94zaXfd/gWubYe9GqBUxOFrAePI18f4xofepxrkjnwoKGMYHqgftbmAvCnDf2hiW6orS1KUNEyLTmg1BIx9d3yETKvLdWFq7rOnbQLiLMGfFl3hCuIbR9Hq7ZULdzVKzoU8aEMiRDy1bc+I0uXK/apyaK1Po9wXOyRkFAAFZF/2T327Pwq6IIyc9ED3akFQhcBbRZdBhFzVk5KJZIrUZnjMD8SOTFCzxEUznHnfYYrxW1T1DZaCXx6w8InyeUu2Er8IFniMadd6nwbHB6qQoalTRe7exYgLvfFfbXX4oJtCgo9hYxveEzGp5qE9eM14w6RKxHFwDjftR/XBCvK2ofGwrsBdvas+AYl4o4EcGtPSmTrsqconvRbkWH0kkLPAFDYIxN4vFKPqJ5kroCr7fql4Ng1s3esbGmgBYwd2egf66NturJFcDYLcwFcRak8y0jLM4VmEqjIcP68b2ABov5+o+Z58bztO0fIqiHActjjzgV9L/7wDPv8Y4imEUhOUNMawMC9kLv4hL2jjvLjMhwvu+RDxs92pNjPvOCLiviFBFybOPUesezIZGG7HofYe2xjV9B01FgsoFGfQ4zgIGJpnvBhlVpQdQrJAvShedz/8S1ADApirMiPS+QZbPKev51QgrUOykdEdE4AQ//wQv7FAZ8/vOA6Rfsq1jf2LO5XxFTwfrtAcM3bCPJIxAScPiOaNryaIjcu4rv/0ex/ZD32D2xb5fXx6Tu/f8SIZl05tobEnxH+8j8WFhcFy6I/usOp9+ijZ8o7+P4Xcb1s4jpxHU1fs+5sj5RUG95rFi+yNSkSCYu9X2HOLvQqeD6haL85cQj/KVDviSoeGFXAOE1rfcESO5+oxg/VoSc8F14y4tJFeUkWDPFCdOFdGpPvgUE9Tb7ONyc43GmaFs+0vJo/G2Pt/+hYD0G/Pg/AOVY8fDvI+5/W3D+MuL8a54PyyPjybgA43eC09cVd/9wwfLYY3rTc6wq51YZrV82o9HdtWPRYPpMML8lYv3wtxSxun5VUQ8KHQrKGoBDwfXPFciC9CkiLmSC9U+K+Y2g3LOPuvuRomEqnCPe5w0AyzNFa2HKz5oUy6PF4KMXLxiLl1OFjnZOLfz+/9Nf/xZfjs/4f//mL3H5wwmnf4h497+tqNdtnv9jr/96SK7TPqwnwQ/5oB7Ebll67f3wsF6bCKAXwDbI1ruzy/DdJoPFgV0l0NHNZSUdcei364Fv1gEiilZI8+BUtZncN+Sm3Y9di4utWLJak7SKYrvPSCEp37T8e/fB0B59drR6//LKhlsQ+M9+0qdVCpVGi0JRTe1Wbnoym3DRzyF59v0QhexLKLj9HsHumj0ICLefA6Ad5Lpu/r4//TxDaouJrhRLLJySZKptN0q2XjfxA9VuA8L+5tsgk88mrLDr9iDfiglVrbdFW3DeGMGegBUiD3Fmj/FrywkEgby6d0dNiHb6z6xKaAktZLt2iqEARS3BqXxv0F2Q7s/51fNo/eRu/7G/Ftk9m32S68imo557BkSpu7kuuKFhO10zGQXJ15LRxTehmI2JoQCCzWpX+kX14A0bgusobt199/46HO1yMSG7NrHvgls/hF2P7b4Ptz2vHdoadp//euxePc+fjuutkrkGkOrsa8vGWKTuvm/3nY4mODJWWYyQKqgSNiRZBXi9dDzR3SW87eewhNcohv58grXQhpXBiAuCN9uLHZJLAaBXz97vU24FyNQSt31fZNvPjVbdfrcq53a18yAwwmxslT1wXEE2hP93ph+vdjZHDCHUqtiU8XeFO0MNZf8zgAkcvEc+IARpiELtNsuR18WELVgFAN0CWGzvrd323wC28bDkf1/obGNfd9TUwGuQdbe/eIK7b1WIQnEZ+/cmyOUILYBGO9ZtTTV0sFivsyQrXvqzuH3WZODotv349/r7G4qqW8EN9swFu7liwZUzFxYWj5y5IIbatR56h/lk+xzd/z2gIVuAnwOGb1vEVnpp52aw+R2vtpcvGzuoFaj8VuYFTWyyJet+ZgiVQ3fo/f65O0ohHSgo577QzsywWAFhWyu+tl3oSNayaYnY0mfLRzVxKbDY42Mabcz8zVXNWgzmnIAbBNA/16+F83Gj4rIHbru+0pPeXH3vts9iL/SW+O6Rbtmd1ZK1FYZuvtv/WvmLLa7YKXjfUvbBxMCR3IZc160X10QUAZj1kKn45sL2i/356Wdgm1PbGlDIlnyAsZ6sO/Gqn7AmbM9d6RUe1tD2RQcovIffe0qlABJgvbYAWn/+Nv1vWGpVIWUTzGR8ZGec7pTcF3qsx0Wbur4oeP07q6YyCGIFxJLhGolIxoVonNgeqwKgtwPbLWgAWiTNgu7FYhcr5rmQlk9cJqK2BxTrn1yZpDPB55rtXky9GwEZAhktiR0UcsgIaauglIGFVU2ARiZarZfaxF05Fny+GgW1AMsbIBwzQlCkrmBdEiBdG/fSM7l6uL9gLREvzx3Rcf8en7d+LgS1e6lI14hwDRS6GvwhcQz2bM1t3luMchPH46a9jowVjl26VAqXHRV6ygCi9ZWbkneiLy+tljY2SWMuWcGk9SL7c9zFDz7fysDn3j0L0pn3eAmgCrIKdIlAqojHjDJHCCIkmwq4g29RnTX+0z++7zkDoNp4+DYmoECmXbcYa8o3UVHGk++HM345fsRpXHAdDtAYCRjMO3eGf+T1pye5pUCPHb3f+oQ6JIonWKCPIQA9+yeXe2mVW4ALCKLIhvywX4AVtOETkT9/SHGpiJeMvV9u6+WbF2jOEBHI+UrLkBSJfFVzV1Pd6C924NU+oh7SRpPZJb8bfUqahQQMRfFgyO/RUWjVDeHStPXX7WH+LQkWq7baQR4FOQm6UlvPiDR0VaCdUNzDE4FcG/1EAkjVcXqyi1OdDgwCrwtkWiDXGdFUpeuxtwDbVmX1/UqtJ0v5XL1/DDAlaQvUDsnEpizhDoLloYNURTpnQxosQakKrLCAJ0B6VtRbX9FsiY0IxPsQWyBPMZ242AY1vlqsgX8qYH1gpJm415+/N00KzN4MTxpN/4nJNQMUmIWBLbqhh8ZdwDlNtgEGyPGA8hkN6PMpWS/KhgR578f6wKAtXdESeRe4ciXodIZt2gqnxOqQOL+vM5pKBbAlbso5D2BTX66Ai8C1QDkEqi/venT2ibuo0ioGIKXT+gjLmKBJsJ4S8sEpfNyo/Lr3vqyOFHhS7wd0yHzu7gXLPhsmzzkKZAhEOV1EBPY8c4I0OAdwKiU/nAFSYwnULfCWEGgPFCMR3HajQruZP1L507HnZ+6sthq1Mhiq4MhfH1FHIl3hPN+qX7frBcKUyTCouz6xCgA8pFWAWCrCJKhjRD5GOKUxGG2yeuDfEmb+YZ/zFoi0fuiiqJHV7fhJMXzis+EzVIptFDQRlZtCiA9VKUTSra/Ye/3Ffk8t8KxRGpPCBSlgwQ/gAoSGUFQxdVJ/xrssN4qhUSYytMZml3JT2DH2gbMcNMWmLyBrQfT9LxdgSMgPZPSU0f0NO8Quonbe/+yDB6ynQNrWLth09fs8SLPCcQbJ8sBgKMzS5narnBvNs7tQXyBdC+Jl3SjJOxok1WZTS9DFMzpDWOMFm+0M0NDW2rH3PyyF47RLjsO0MtBVpRChKmTKdDfwuTr0jWmwvmVfuuTaEo145fcVE+Ny1VkJgWfrQBVRALRF0trWR1grwqXw/VZcU3tecabivkbqHtTEf68dGInslrzTKklPR6OCK0OGpnarkZEc6dJ8Dm5TRHE13k94ukLXjZmjv/gM5WFA7QPWu4TpTURcFcPHglArFWKPQq/O0+6sUROtMXS39kBWwfzAdbceOE/GHyuGDxlhqbj7Q96CPIUhsj1Qgf5p3ZBPK37g2Ju/8xZ3NCE2LygIUcl8xyJ3nCrSme/Jdx37X82q0Y/49Ui9ECgTMQ3sLfXiqzOq2llriVk+oMVA6cz9PF25n9UeKFEQr2gWW77OyxgaKBBm9nK7d6/HNi2ZDRHV16Tn/ktFXK2X3EOb+/EGTCmH1FDj7t09GQ0ikClDh4gyDtxfTflZChPtOhhTz9ShnU5fD4nMAxOe2lwCrJiSBaJhKyzYtXA/x1ZUUY7T8MSkZX5nzC6naAY/F0251hBeqQAmRfdsQ2Ex4/ij/v95+7deS5okOxBb5u4RsS/nnDx5+a516eomm2zODGYwHEHDASQIehKgn8O3eeQTf4OkZ/0GvQnkDIQBJMxgRIpDcvpSXdVV3zW/zDyXvXdc3N30sMw8YudX3WygGtxAIjPPZe8ID3Nzs2XLliFOoZ2zfp5KBQ7fVXSninR2duPqX9NFsXzCvszac1SQVODyCRodV4Mgv1pw++qE82kH+e3ORvh0gALDRRrA4S1f071gvouNygqVxqKrd+ylxMOA7qQomc+1JuDdfyqmWcKRMUgKtVF3uCSUCgzfJyrzHhVPf1TXpBDAfCsIpaO4U12TRQ9RagTqi4y//8VbvDvv8f79DfScsH+koNX4RpHv2I/8/u1t88V1qAi3C3a7BeOpBz70kGXVscgHxfnThPmWiRln0CtQAg7fCHY/KJYjZ/vWnv3MkoHjV2Q55J1V8gvjQSnAfBSEnWB4D4R5QBqB559Qzbl/p6iPPbpn3tz+HePgvGcVuo3hLMDDH0a8/we33KsHAm39A3VmyCpAW0MNaJNO8rGy51p70p1nwe5tQD4L4sj7nl8q8uczMAfsvhN0z/Qb4ytWfmUO0KEg/skZqoLy72/Yb+t+vZpImZqNKJCeOZIp7wXzfSQV3XxUegyABJRBUe8yRID//s//PiCK8tQhGK16etOj/Meak9tG8Qwdah+bMp2j2a7an4drQaamOAdpzeA+1yrOwO49hZgc4Q1zQRjzih4CDdWTJUMzg0oZQSc39Nf9dODXOYrRkgkXngoKaMSqvqetb6QdbgARWKVT9wT3Sp6/wN4fDdm/SnIN0fcqgicEUrVRPF2wg2ukuO678QNC0VRyUVgdKromMF7p2jERjdOGopoLk569qfMGIiZ+j1qtIgsYZTta1UfXwBBEUCnmgXZAUHFakU5YqUcI6wGtalXh0II90jjXgNOpQSuyCQBOy2R1yH/2CvGHOVgVDi63Z1BtxFMaefjkvY0AMJSRFHlLtue1H1C7BMhGFXye1ypqilhuOlsfXq+LqPn1eBKwViPErgENHfcshRU+tDVvY61mS1i9ArFN7FoVscJnPqv9X/xnjXbaVIRbUlNbcMGkgYGEiHCe6DGg9Ly3rXKuq0qyhwv4WASmDLylkGHS/yYYY8lbQ/Ci7XtTEY8hQLSgVVKT0ZRVr5Nyr0h/zChwhoOP/gFWSrP/f16I8sdIim57U36e9qn5BQT6he2L6u7BWmAZuMu0QLKsawqsQMSSrXKG9mwbW8Sf0QIENeqypLXi4xWbrZ3bIQVgVVqu0mieMRMkCllRIUgTadJlCJizrbMh922Mi9uMbg6LWgEtkIUU79rbSDLvJ6yrWqiPY3CbcLFvKbYMAQYW+IetdnS1tskUjgMgMSCcF4TxYt8z6rTZO4WRyGZxlXy5LOvIKQucyy62YLUFopEB1nLgeng/XekZBG6TVQcSru4x8pxa7ipqp0gn9n6GmbRVUdvXaoI057xSkmH+e9uXZ+CJgxuEN+xZmJIyiq4zf0uBIgI9SNGeCwUBPVkwG3OKufbJWnFmUr6X3NSExRLlfNMRzX/mNbLaWhpDx/eIV48VTK5qx4cdTE2aiL5VWmz0XavWWXXXKwD8fX8uWKsfZiqu3OqjTK7OTbMjzlJXxF68qGfX7xVdbWJKYcoEDJcV5Mp3O0QTCsw7AvDpwmRCsjYByWLUO9otEMo6CaAMlrjUFdyYXtIfhtlmZy6K/v3cEjIX5aopIo0F4XmxGc697Zewzlz3ZwptAX0DpMyeS08Qrjsp4jm3GKzspI0u9H2XD0zYCbbSN+UjULs1pgoWlJJdZ/u858eSqkjf7nNMffyN5PU5trExidRzr3RqkmZTVFcG4zCF9fv7OUU7jk7Vb34ioOx7+grbP41i3VO9OswJ4TxD5gU6RNRhjUn9dwDu6TwQPHcFZp8kQCaW6Rx4TGItOiGu1OW1pWtre2s1Wyop8yEDk0rrClkBfFkLH5YU++9HE9Vx0Lw7CeKoBM+PsrLbKtA/Fuy+u6CBghv/GmZgHoD5JdVzta/teiGKsCuIseJuP+PFfsQ4dojPq/qxU6trBwNTef35YHGAz++1WE0jEPcZKRVoGKyfVE2FH5i/XNAdZkSG4qjWq1mXAHlOCGPA/ltg/0PFhz8OwCcj6hwR3yeQfiuYbwneXulZGACmAegOM/7o9i1y/RTv5jvIFJAuTPjLTtF9csFy6YAH3pT2TFj3hxmvjmd8s0QOLCmWJC58Dqw4A85gcUZA/0Fx/GrG8096zHe2XgmIFRg+KPY/ZJw/TSg7WSnp4L0UBdJJMXwgmDTdW/HjLEZppjF1zwXdMzDdR4xvQut7rgmY3iiWTxfawxSZnD8LImyfGiC3ZRYBgA4Vh7sR4/uuTYHonqPNUeaILIhg+UQgi6B/4Kze6Z7gnyZAFoEeFP/Z518jiOJ//PN/iDgq4k54bGWqSG9VpYcPpH7PR5tukEijr5F9yWEB9AWAvrAQ+vVA5sJmz83HH8dof93r909yfZyP0/YsGGrUi+qbn4eddqzGwR6AUw3FFsQVytjnFK6EHBDFgigG6xoCJAGKHhLjGsQDrQcPANE9f4lQ1fMq0VKToTeFzxhQTPUPQKumFlMTrZ20Tea05W1lQNbLuKILUAZdVgnsYJunYk3sXFzAaRlAe7M2HsN6CwEwyPGREUFMbddmDHcRKHENgroE3fX83aIIuhkPYlVZbNU/Aa6LB4iWhGgAln1YxVWANXj2ipwHRku9Vmcd1l5SqkWj9Sp65TdebLyAeuC49kd5RSnMgpD8c7ECEmk9aB3Nl8o5pFIVfZJWJQjFxT/4GfGiVtEwlsAWUNnvIdJzjVNE6zv+6HX1ta0DNrsBaN9pNGcjDGwkruM6vF/O17G9vH/Vv+5VTb9GoFUkt32s7T18hiZAdeUYOdIk8mfrwApuPkTS16ynqN2X3YeKgQdhPQAbLU8s0G+0N4FGRZ5Z9YL44aFIU2bl3BgFbX61K8GazbY9YHbuPelXirQ2wgzWYgBPEK4iYFai2l4xH+AAHfuSBZyhGhsl2z+/0SV9z4iQLbKlyn6UwPmc1qs5rghXdGDf62o0NY1AnWk4LoizrWK5bX9Mb/YRQnw/tYRB24zpVmFYOL8SxYCNj4Sn1uqKK2x/ZOuWmBdr0WjUZfcFBaiW/NcIpm420Y2U0HW9FGtVhkACR/us7QZ2k52BEE5nt+eoAvbcdQneWw0lQBqKImu0EQq6STCk2TIAlI6JtgJoY9029+u+pfQruLPS0fmzpbckyGLy5RigoUNKAdGfNTYBqAnthCnznPSK1Wb9WbWrTRHdhQ/jY0G0591mRru/ShsRQB8lZ/O7XSyq3u6Qb/vWdwqA85DrtUG1Z+D36euxOZsoqFahhTOit1oCPo5OSkVcwHO1d4o+fzdduIAuQrImqVaJtSpE6aUF/w0gt75vOaFVccRsnrROXqcsFTqO0LwmubUL0EO0WfYrALncrL2HteOzbZRDM9vlBshHaWtCZg7/3RJ0/4ygAJJVyDOP954Bmoqg7hIgQJwKdIYlqWHt4Tb743p6whhNzEqQbG/XKNCbrtFnSx/WOcXFr8fWeFMVRwUFjGyWcemA6aXFGwZo+asMDMTDAtRBWrzmvf4f+4grSvqm71lUqckw1waesNiweQMFGWXzAnQJdaBavcdJzowJ2TRMKiyZDZCBM27LgfNaS29zgQWo0XppoyWtZXO2md5IE0x1Cj5MwyCgUUPDXJFsj0B5b+nCAoGaYrsrz2s0Jtoz1qp5YIJIKrMQpzb/zir92pLlhYRY7ZkYYOwskjIETK936B4XpLdPiBvGwvhKWt8j19R8S2Kyq1VQEPD0sMfj+wPknJh8mg7BdszlqjkD5Btt7Xnxsp4fQYH6bsAM4PYB6C4cOcZ7EOivetTUoXv22aer+JAXBKRqA400B9KUbfQRdU7Wc8fbSUTJsEgjcDn3+PryAqe5J/g2VIyf0F7lswk/ff0Bb5+PeNQDJCpu7y7oYsG+y4ihouszlh01MpYSIFkaCwoAwtnu95nfY5W+5zx0i3HUktTz54LxdY+8t97YZR0XFWc+x3wQTAOp3Le/rqgdcPkkUM35niwjfwbsZaZqNVmNrLrKVzYiaubnT68rLl8q0jPnHLsf0WA90L1CloDz90fsHgKBTSvMrTkO2V/DbzvEUZBGFoGWm4DpFZPsMAo0JPybbz9HihX5vuDhHwTAdH2CGHM3UYGZoEhAd+I9eQ7oo7nme8X02liPv92t/i8QjKudYpkDppcBZfyPlOTqYE3FRSGh0hhDbI7eqSAMvrjBllsuULqABjStZfUw8++aBNgHyLkaJQoUxCnaKlceiMFGKqAowkTxHh0SudvTAjmPa9BvP98G2nuyZfMt9aZH3tFZ1t4qGDYOY7oLRtFztBbon3kpxfpCG+UEaIbpCNNyJA++Own6JtDAg2CrxubqoZ54uziU5MoA39BeqRXyNJG6etiTdqkKHSdSy7rE2VTVqqpDh3y/p2M6TU2Cu6mfGm3QE5vuOSNOhYd1jM0RaRSML2ITR4ASJdufSqsSaRQ+t8tM8Z59R6qgiYz1HxZW5kuBjBRW0R2ro12pPPTsgC1DxHITrFLlh7QnAeuhXW0WmlfIfVSCZAodwRRuu+dgQdV6qPmHhVx5uHrFyB/lwZJcALVb5wW3ffCjwFhbcMSADM12wkQ1PCgrBtIFyCJrruFVHKD14LWqZs5mwxyj1T7SkrYmSrWZNdtEeiAEf2JAebHnfUQ//K361a1Vae/vaAGRoPV0OcPB+3S2P8PgUKEL3yP4bNZlvdR0KkgfONRcY6BI0/NCqiyAVmF1AanLxH3dJd5fqUBZ1iR3swZABea8VlW3iafTkpuIV0Q5kH7pc/682tf6KoV+LFrVqo2ZMfomjULXa/D/qxJs0hVkkxCgIfH3LBAMS0Uai+09/1w6+mKqmluWx5VCcjNA/oljbQEN90ZFOvs+t0v04L9WVravZD+xJusmvoewYVfADstorQNb4KNT+sAqqJkfSPuhj/PkULyVofUZ2vtYZb9OAWFL0wZQh44JAbDuMwtEtTNBsVIaqBBPrJCpCKqGDetAWgDpNkvGAtp7O1MBWIWFWkWrI1XNlVEbKGGBa8jWpgMKLfa9oHN/1MAQ+/9SON5n2//nay9M/qVaoG9JrpQAeT5DzxfI8QC9O3JNrVpcjwFl33GU3DjSD+w6A4e435e7HtOL2AATAD8aeyfWVygFiLr2KLqORbB1dn8Z50w6dLSzgngpIKQwa67QY9eEkhyQ6U4U6sl7WxhPZCtjgriQ5VR6jvXxmaSuqh+nyr6/JG1qg8ccHPtSEaYF+nxC/SjJLTcUwCGFkHtsumNykg/SgIsG2ts5M71U1F1FOgWkE8eXeB9lWACxkXZl54KDHJfTvTtDxgX1xQE4UHys7BPHYT3PkKIYPztgvovoniv6sZjv1gbAbduk4qwYPtCpTvcdq5r2DFll9kCSa1Z7oBzUaKWrCJJkBt5xMjGaTwtQgf6HyBmq9soHRX5RIFlQHgLCJDh+DQwPuunlFTgg2KikgQAHQTpLTl0IroI2PnRNA6K5oYWtE5rYIqJWYYX3v+aKWAh4azRRxLj6hzwwQai9iYYFa1VyQN4SexhDiXEO1oRwk+j6SKS41FX1dywWkzI2SpeCMFfMd13TaHH12jhyZF7Zm8hXRxtW2Pmp/FAp9It1G5mrAfIO2p+uwai8Y2tRnCvw7gPqdGrfm94osDc2VWGyqEmhHYCg0CLQHBA+JOx+sHgoma/z52DrVCNZDdoBy6sMGQrC2x79h2AsF4JS/YeIuAD77yv6x8LxQhLRnSqO33Dtb//9e+Crb4FPXmP58gWWQ8L509QA87yn/9CFSW6waQEupNTu/agon83QJeDmTzt0z4rwmPCbhxeYloSQKjQoynGBBOBPfvIN/quXv8af7j/Fv5XPMHQZ//iT3+A2jfjV+RXejwfs+gXjzQLNAXPHPtT0TNYOFDYr2FSdAyhita8Y3kUM79CYDrUDnn9eUfccVRlm0p/ThXlFtJFJl08E4ycVd38WcP+vf0A9DphvblA7wfTKgCl75DUpc4bA87f2iuGdYPc9bSQsiuUgmP/RhP/sp1/j3/72c8y/2dPmbfRTflEgu4LwQ4f+m4j+gb9brJW0CaUV0pP3bxk3p5Hio/MdMH+xIDwm9O8D4hwwzbe49IrDT57x6d97xtfv7zD9wFGW1T63/mTE8XbEON9j/73ti4n7K4208/FT4PjzR5y+usXdv+dGPn8hyDvlzOahYAFwqRH1jL/V6/ev5OZi1aWy0kMaTYw/EsqKjsEWG8GC37wit0SF0Qaah0Vb8HjVpG+0klbxsqpN6/HwZNaSYLFxK5zzaV/3BMAbtr16acmR9/rws6UFP41eFekMslWlvTpAihTWoD+slS4ALZlVi2UcvXLqCYDfkUC58I5Jh2/Hogz92oMMAIE9o4326RXc4Imxran1kfi4lasDyNBzX3fOgGWlNx84Y7bs0KTTQ2GyxvmfasEcRw756CE1wRpH8IkmWqBvFcdGYwZWaqq9tpQ1AW2oy3yf1gtqomV+3fyHtjUVe95hqRSvCk6lxYaeLj8qbLX3aSo+ngCu1CX+DK4T3er3izWgMHppo+H5QWrPjte7CXjdpttarFu2ie1saLmuBvnXvroEnwHqf7fk1en1Ds5sqrMuBNf+H9Z90PYGy0srfbWCVBlfHlkDH14379H7Fdlfa7Rjr0Jve0YD1ZW1PY9tYinX6+S25H8nSyx9T2wBAL8+b0PopCHwPqTcwR0HcUQq6csaiTS3zbsJQH7XcwibBKbRPVjV23pjKorTvfmYiGB24T2KwWypUeS82gw0UZBtj1wbq2U9lts5qe3l86BFoF0kvdCDPrFkzipxcTLU155lMD/Z7N567sPG5qkS6+rwfE4NEKreJqLXAEW4fla62WSsjG+eo1dB00d0ps224lpgrULb31tfcsVKqH7fulZxtzaPze/4tej278212rMWbFgvZgOtF9zufdtbj+35leI1NV+E4E9j/BBEkL67svXG2HA7v9rP19X6uKAxXZoAVpAmliTzxt4DjHa9GYpte29lAOHKL5GqStV8iD9/rH6xnYW0o7gd12K/L8Z68jVn5VEbgwwWb0AE0veQUJo/UllZPmvLxTqb2ivK1cTbttXU7TU4KM8Krm58vrYzi3EKwRjaUmDvvIEFLqpEwEuvrosX6p+nJrKjCJbo1RjMTk2l2tduc72NjRN8PUDBFxeBAYNagu4AugpUMWqmwgVjaCsrTZIaG6uv935/Z7zEcdXcCKWibg5WjwUJcsZVhAtYWXFp9dch8/elAsry6kYQ0P6qHx3AphlQOrYj+J51bQix3laf06tmAxShNNaU79HmF9bYbGUSrb61MXOsbaQBJG6nWVuyVJaNLResquFhPW+3/b0h+7/5Zi3m3JJA+h6CAlhPb+0UUUHhKbX7rIzdEAEsrEaGLE1115mW1BJhXFDS6isAAFmgEnk2mU1JWc93FSbf811se63ZYwLKzYD08h71uDPxMGn9rGFZzy9UtOuTwkS6FZMy84fylBpTtJpy/GXqMZ07yA89q+W3GWEoeJ4HfDXe45x7JNNc+c35Hn3I+OZ0h6dxwGXsUMcIFIHMBlQFJvj+rCCyku2U6xQvVH+uyXrdbU3IYFWUoUJKaj6kRkCM2ZlObDUqNwNBd59isI3J/Bn7/rY/eQeMb1hI6J8IcIVYkKRQHbunzaWT3ccQKJg3rTTiZR+aqGQ7y4JRqndi4CMvPMxA+p7V3Tiu+7Vmjpp67AeUHDfXzbO9jgmXOBAAtIJPPtozrtqo8B6bO3snTEBXBCHzTI8TlazriL/V6/dOcuUyQpTVlXq3w+VN1x4y6Q4momLnX5yA3Vuxf+vVwRUW0htCVqTnwuobuNgodkimTS/faUG40It4T9+VcEwI7J3fD/D5fxoZvCEIvIqiQVBurGJUOPIB6FrViqJCdr9KA3CaxXKzcarK3gm56CrMk0gPYK+xNbJn3lMFmkR+N6/0hdIHBFGbg8afUYQ2csPFJzQKyusbIAjiaW5V0+WLOxrlmIFcGwoaso0Z8kQ5Ye25UwYuwSvHQBtjsNwkTC84Gmd8vY7UUDEEZhToXnF+Q/EORzWhife56yiso0REfcZsOSTIEhCSI4hr9bHRfNtoFDXqA+9791DRP2SUXcD5TbIxFNqcrR/4npCWFOx6C7rnYoJZZl6bXtw6xDV53Lx0ms0B0Ia80icbxxOyJ/toSYAKVuGl2ahdix38izbaKEyQCaoQVGix82Rj07xYAUolJd364VvP4kZ1sq2j7R3+O6DuDTH3iuGGvvmjew5o/Yg+ZNzh3QbctCRBm6AGnxH3iveWrDRbbcJHtU8MSl00yAGrIOuYrCWvFUsRjhZaFvbVDjZSxWiYaglkuxUP/rcjlzw5FrHkeVX1rFGQDwGlF0wvWO3Pe7RqdJzYizd8AOIikNpTK2AuTdWy9YbGzTPzJMNpwP481YKiXBGQoYVtEkzmgaCKTSF0TS6tLSCNq0iQg2cuYhanAlmKVUy5LtVG7fB6y7U4l7+WbGIgEeWQcHnNil+jVu2MepyJ1JdOsNxKAzYANMXHOAH9qV6pp2sU5PuhJQKABX5LZquAJd+cbU6bbYCkjXkToAlWtWfqyvLWi5pvurXq04JfJkIOWuSDJTfJkvWOlQEADZhSEQRHtndm24l+WDtF9b2lQHRV0cz14h9WE9vzB/1yU0BNwZTE7RkZmyVMmb5aBHpg1KmDJbbHPWeTOwgUAvS4a0l0mDK0i8j3eyZZtm61IxW27AKrowN7SLdTATz5SGdZK4ApUHOp0j+FuSA9kBJZTSSp7P26C+JpAsQo/z6yRTyZ2CaCAKSyQtOROsqgFq1CXgKpxE65d1DYzxGfbtBYDFgTy2BCWtpFhFf3CMsArEUu7L+bEM4Lxi8OePppguuIAMbcGK0iuscVwCcFre9t94NV2Gyt/PfTaCyiqk3jIt8OwC3YK54E3Skjvb8QzLAzp3sYES+J44VuO/ObakljQfe8NJXhuu8wvR5Q+tDYN2lkf36IvoaC5bhhGixsHyFzgSOdoByVogEotxXdYYGqIAdlFe0cESZLjK3aUAcbv2MsiP7E87i9FNi9tXE/DrQMEXkfIdbPJaqoA0dlbQHBauONyqED6p7A+3mGJD+zQhtLdb0+dQX1KpD3PfI+oOyB+Z7JY3eSxsyAAPVZ0J3ZFucMj+GxcpyQq2AH8zVBUKIAvZ3hY4ZKaAJbceQ+i3NFdxKrlm8VmClCJE/VKKj8vHSivQ2PrHyWXcB4T9/m/eXpwufvjBAVaaJ60apgUhX1k3tg3gFv7TH0SlsdpRUwam8xXFAMbyPSGZhfKKY3BborOL66oJSA8qc36J64dst9hVj8KgvQPUYogHQxyreDsQb8aQQunwkun0bsflDc/TqjJsH5U9LHl+MNwnJsPme6Ezz9UUXtFfuvI/pHixvmgDgGpPNqp+VYEZ8DUga6R8HxN4Fx8wCUPc/q8e0eu28TXv0vFXkQ/PCfdyj3gt+8vcf3T0f0qeA4zDjPHf71n/6UvayTtGS5qx6z8Z7mlxV1R6ZqmMzvGmiQToJ+Ftz+uuLul2csNx2ef9KzELQPyFlQfjriZ5++x6+/eg18xXwk8/YxvFccvgVEFQ9/fCQ48IKsT99LtHPhOhuo4H3645cZN5894+lph/6XO0AUXVcw14SUKqZjQTolvPglfeblTbCxrYCPDDt/HhpbyZ9h6fnspy8yP6gIZAl4+a8DPv2fMvIxYLqzKr4JNF6ww/vbnkVCE+dyDYD+mwSNCXFihTofFNOnHEGkfxWRTgBCxTxHICkunyviRXD4lvafLoyb2coqyC60+x94/d0IT3ngGL3cvQY9Yg+jPay6qWTlzQODfd17cx1Fc2R+82ojfYD1s6u2niUAm6QADfFrCXDwyiXWqqbTl4t9zUF2gSEq4nHS5jNWWokf3K36ta14tV4G9sB5RVjE7v2jBMPpiluhJwAMhKxcsA4yZ5U0jAzu1UVzlAiIBFjSEDiGo35kGGJr5VDgtg9ONpUtC4ryHk32GyooXqEMrvq4Vgh95AV7+oTVCwtAWhUxBtJn/BmI9fJWvarYXFUAzaGHuaImH0AvrQUolPVn/Tlf9Qu5uJglT8GEn9oz/mjd+Ub+hnVzj1ht22zAk40tjdoDfB/+zaRXW3LVnmeQleqOzXPZVLNawLCpZKqLh22v8+NX1QaQXN2W2d+Wjrp+vn9vXT/Z7gH5aF2FNu4y8FcjQa4+1P4O5rS39+vVV69mfTwaxu5R1ftJpa1Bo3kGa42QzR9H/R0M2FTItwqaNUqbJ1i7NbFJRo0vhaAA2yeEA9NtxIUnk9t7uaqqh809Xq2H+bpgbALVZkusLPgjp72s/tOUPLfr2oK8Stq7C70BVuW3NdgKl3382qypz290lL4F+pXJrAr9tRVXVnt3SnVLXOoVU0XcHr0C7XoOfnA5w8Sfm/fJt1ulj7uyrbbmaEyF5uM3Yn/tPdw3+9cCeDgDZj/+NVY4Pn41d2z33tD2j3xV8xFe9d0ALRrZo932SzTWUcX6bLa99WKMnrR5L2AFM/K1X8DmljXZeRHX4Ib2vZ5fXgmsi59Ddp8iFGh04b9SNwwcSzwS6ZDN7q+quKtdtXWB2U7UpsWxZbj4xbdqqGzuycbPSRRjdrjvXdkMvj5sx4m4YsEoIEthO1P1M3pzxrvN2/mGsHnWCgSrIsUZjYEGwBSjYdTBikap9zPD78HsQkpZ7RNYAa8+wE28+TOURtN17Yg2BugqJnL7XAGdrfjltiLnAEftQGGixMUXgDNGJXBPbNamVd2tn3WdHrE5j6zPXKbSigtXbRFmIz6q7ur3/dwx6rsIQV9/biuDB4AxAD0maGJt/hnBASz6Gyb30hRdw+LTPlZbh9K3NsD1d52N9v5+vbpZ+2avoK9eWWPSKKUa1mQ72Ogpp1Fr0hazuG1dtaYUtSo0HWBj5xWFxnilqeKJbZjQPoNtFXxOrg/DFgCFdBUxGCjj/jH6uS4NZOLvyGpPm9dVNRCeVG9nBguWeO1z8kFQB6oet8p8AauNziwUAxm7Sh9o95YuXKtiffSs/oV1JnxEqzjXOVIEbFiw6xfkGiCXiHjh+23jOd/r3IMKdBWqG2V+KO2v8hrjQtG9OMTVj1kLZi6C6sxQX1dzR+lERfjSrW0G3I/r+en5A4Fsvg8VqgH0FXf7ETlH5B0B5AhgKgkifKZUTldTnAeiVUq3rTZtf3tF1WnzqdL392YjNaB7ztDUNT9GQFQQzwKVgDoo6lAb8EGWq3D0m6LRopEI2NQUbb6wIM8mMta7nzfRu7EiXiimCQmoebMn/obX3zrJnaYJ07T2tDw+PvIfQ9f65GoKbeE8uUiXbV+N9do4QmyU5mgVLsq5V9s4AtgsQbE5WH4QxDFz8z+NkNOlCSoBYH9nEGjsUbvYjMQDTKff1hhYhfFqTuahXEwIIh+ijTlYxwK0JH0xozPjkGrN5OaIXYnN1XXjRPR0uVXUfUF6iBjeu3ADf6dGAJ0lbALULqxI7pVgDD+kVTeqAosFTB0rY+mJfY0tQdgkVBrZyxvOEwOChWOCtIsUw0ipJaVqdNxlHzhK4YZDv9X60gBApmC0BcHwwRQAkwu8JOCGJXwXEJONkJirnZaUeL9HUhx238+Ip3GdQVsTcqFIgw/qzruA+hmfeRq9ZwxtTbaULYiYXan1pHXt6wBQurDSyMsCzSO0TMh1M3JGhNVDEVa3jang/WNrcMZDqUbhQSkWCFWiUGlckWY/DL2HWVNiBWfOaBTdLb3W+vOuKOcp0v5nU5g1hkJ7ebBsYk7hpLauO4pDBTERE3ek/uzQRjBJRRvq7lLv0Vpnm5OMtHFVJq5un96vW61iwPtU1D6YgqHZUazA3QFy2K0BuyqQ7cB2MK03BaOqlvRZT72NKfHKbqO+bwAL9jgqK5ghQHtTyN4nlH2goMKdYLkRnL+srFZYMFQ/RPQPfK85C+JMW5fiAaAlEDfDNfCxpVX711wIzxL6JtCjxioosrYODAFxCHBla4CMAA+imzjNlpIcV/G49m9V9sFZcltz5kiV+YJc53WNbg7QsAZJnthmU4ZMF0VcdGMbiu7EZ+wjR9IFbW4og2iBzAYmlTWZddXhOiSozf5GJljgysm1N7rbZbkKXqUaKyXwHmvPsU6ylBVoMtohKjDvI6YXjLpCVoiKT0q7as+IzmpoIIPNu6w2JiUBWSI0Ov3agscsV8FoscAuZFZFtzZYhwT0sZ1HBOyu7TXMGfJ05t42JlJTkwagGWt7jpoWBdB8OUAxI9+zCFTKz/uA+Rgw37HCN72mP/dgLYyCaKORvMc1pWBTDGoTIsyvjqxsDd5ja+uVAsrBzuKsCKW0ZLdEbQwaV1oOF7I4uueI3Qe2OS1WZeCbWGJjzySOdU1wCxkLYfZEewsoCYP+eUZZJmger+y8e5oh2qMOHbKdb1yz1eY9wY6Ts4k8KeFz6x9YYW7jtSIw35qQ1bmi//aEetNjejkwyDPRonjKbWRTPXB8WdmRuRBPC2TObZSdJwe0HfY0b6cuRPMXAOOptUfcAmXzu62gADT/sgXga29zP1WwfNhZ8OabwpL3CoQxsLrytRi1lj2AYRHEfaS+wIWJu9viVlguelX72EEO6XeAgGgAt0ZpLDTv15dsZ2dRiJhuyMNI/YBjT+FEG+uXd7K2IggD9OV1wRKVYE0V1BjRfxBjWFlxxa619jbaDStzIJpYlsaAvGePOwXSDKgpFBBkckvlZgcpnG0WMpOa/gENbMp79mp67OW07/6JmjTzfcLlTUKcFf2jJXhzRagUEdRlhs4z6mVBKWvcsvsm4vjM91kOguXO9vQzW8tqByx3TBARFXpKuHx1z2f0siB/VhA+dNh9k1AGRb5lrHz8q4DuWVmt/cz3gLQYWSpVdeOFgqvf/W+YuLAP1YEMwfxCsbzOkCWge0cqavds/ebvgP5DQB2A6Z7sgfoik2nwIaG3FGR6IdAETPdUn5YKpGfB9FLxm/+TAqE2/65FUDRgzD2msWNPcqfIsUAOBbEvTAyDouSI+YmCTmo2I1naffINWZEsO2B8GdB/ckC+iViOgCbSatMo6J52ePdvv8AumbCbJ5Tqtkb7i5PRnQ9AORbES0BYBPm2IrycUB573P+rhJAV7/7LgvsvH/H4uMfX/+snvJ59BQJweR7wq/kVUlfw4uUJH4rg8Rc9wgK7NrR7KIMi37C3/fhbQbooxtcUgeofBXd/0aP0gvOXtJfzp4L5dk/K8QDIAgwPtO3dO4F+sKwWgYrRrzkuijG5tPaOsAD9110DJfOeo4/wuEM+KJb7gtoHjG+Csa6YjyWnhU+/C3n68etvneT+83/+z/HP/tk/+/E3XMglGKfbnYp/u81BBYOTokiTNvpdjbBMvdIRe9BvSa0AVG+MawXF6Y0yL9BpvqrotJmhgAX8FjBjfc92IBoi0g7oCuggpk5Ip1Q646QLg8u1KseeJkd9gw3X9gTXVfQAS35VUHcF8W5GWQboQ7zq/VwPnBX5qFuEc5PAtXux/zfk2uiuVyMrwGBIPUC06on4zEQhwuV0ouqz7MzRAzw8fcxT3RfIUBEM3SljQu6ZjHYn9ne4AAVFfHjA8nCwgF89arGgr+PzyHsGE7uAK7VRVnaxOgVYn81Adc3+yRWR1/Xh/UtD34MpPecD5+Bt6ZJIAao8pH71l/8Cf/mX/88f2zlsjSwhd/p9yDQCt4sW+Ba0e4yWlEQb69JedbMe1qdFtMvuvUstwW0J2ka9lBdgvc+eBNfNM297whPrQmpkicDRe9g3QYBXbrwXxKoX3i/kyapXc8Vzbbdjr8rqZjt2aocEAB8zYZ9TkxA7igJIQEWCdJuk0O1SraavylE/XbT972rMmzVpFe9reNkTySbg5ZWEFKwHN7QxZ3kPlBeFwhrCxL2OAXoSAuYDI+/aCXSWTSXQRpKpNltXBQ/Hq/5b2gBni15fZ6tolmr2EVcQpCVA9QogcaVyWIILW2Mfs+OzrKUUo98F/PK7/xf+/Pv//kcmrkMPlMBRY+2izCaUPi6dK8ouYLEZys2fBw7ACQtFKnzdxTdt9SDPktHzxKStTzwerA+VwkWhgWDOWmlgpa9jKQxU+0TFWoBzNe29UJnoOK0178WUzem0XT3WEXwevuLblh/jSa7tAa2kL6sd2M2fWu8dzP5rBFxhXMP2+aO127DCea1g3GwpF+g4QrADDruWqGoU9oD72vr7OvW828xl3rS3bJF5p16XHVCPhUqrOdg9RROZ8aD8o7NmKdA+oe44fketDSSUTbW1D7Ym69gh9we0YW1z08NUEOaMMDOgK7t0pabv68JnClNOXveXZECUSUeV0M54f/3lb/87/MVX//JHdh7mwiTOAicfkYJpc51+/mQCWSJmKwaKUDDTknUDfvi7Bkg/nwke2xg2369hKQiXBT4nWaMlZgICUXnjzwRtNF1YBKJ+j2aTM8WXWoL/u/w41sRDLDwiqA8G7wJbC9pBuBiV8VCAoFBR6l1UXkMcBfsfKuKsuLwiHdjPcK3GxCrahCx9v1J0jp9XbfRRm56hWIF782lMTElNLjvaVLqUtXJbSJ3nOifgwLGITd34oz5SDYp4k9EPC/ISUXJAmQnUODjdriOwbWy+Ca3CKtnAuTmj7jpr/7DnuoldG4VagWDAeqtWV7Se2jTy+Ux9aKrtzccXB1gKwlRQU4f5jklTnANbn0YCnWEu+PNf/wv8xTf/3Y/svH8Edg8Vw0OBaEI+0o7jaPF3z8RQO154mCL239Lels8L3nzyhB+eX9rcXsHypgIhIJ0VwwOTXL3J0CVAp9Coqdw3BEUvN4LxJwuQBcN3iW1clics9wWf/fQ93j0ckX5zRGfUbVSgGxk3Ti8El8+AvFfEfUY/ZEygmFftBPmWfq0cFHWgonCcBMvLgr//x18j14Bfff0aeonwPnTNgToDbnAdsL8dcX+8IIqiiwWnucdbuUFdArAEoBAYueqJFYv1gyLvObd62a+aRA6cdCdFd1acPwl4+GNtcbFUQZ64HzvTHsiFoBOGytFKGdBdwScvn/BtfoHuFDkL/Jjxj958i//36Q8wfB9RBsX8upAmPEUsc0S8H/FiP+J07DG97Mhc6K2dLBPwqgPPAY2khvdP2lS5d98L7v9sQt6zJWU5Ull7vqfv0AjEixDQyEA6Gz05814ur5gc62CFxKoAHKQRjinCWoVPJ45DG18Llk8oGpb39BXLjaLsFf2HgDhiHSf6H3j9rZPc//a//W/xT//pP23/f3x8xM9+9jMGaVUhwsCxdmgHgNNGnfIWp00CC7QRAd78Hw0p21KCXVyKCoAzA8ldIhquCkkR2qWGXssGGWyBon8tbJMFn+1qUXvYONlqPWj2a8Uqt9v+S8mAeCIAGnqB0TGsx6sFZHa4pIeIMu/QPYlRKSxxtuCtGrWmbZ5N8sHPZY/H9iXWg6c+dmOzdk53q11E2VNWX/vQUGIPtsXpn1kRUFGroahWjcg773dQhGNG6oh2qW6UJU0cB8KZyL4wogAig0wkQd4bMjobAtmSHmmOI+8T5OWByeSGYuc2FCciyw565B2RUqrfYqU02cHVBCQUa5+3r181ZkBV1CHiZ3/v/4hffPJPkN4+IecR/+Kv/m/rD6sCmb0l851shH9c8MQCwQxAFNGVKTcARaPJA9fPqijCRyOCNEYgiiH7VsF3teW6+QMQaLo9YlsdbFXEyHEmrdoYI5MCS37SmcEwxQ7E5uNtKgEAA7urhcMaOJuth8zDsVrgFJbVzj35d/oYetqIBk/APbG1JNCpa05XbaJcGwBELJHzE9P7kzevK4XpzN/RoWO1t+PPb/uEvRqJLFBECwJ5P66E7s+U9yLAIbUKi2Tl43YFyK25tYSotr3idtESXwFav64n4a6qnKsFUdrez5ehrV3Va+0rSyTaLGZL7v/wy/89fnH3j4GHZ+Qy4l++/7+vvxQpcVWGiHzgvkwXtUoW52FroDgRzO7dX4UsTdilUfeq9UeWauALCDwOVvGbM/eKg27Wp41qIIh97aptxccbBaeBCoLTr6uxKKIBCR2s4qzNZlUE6awmnMHrLyorMKn+jD86SC1H4zXwWW8pWbU3dtKkbUrAchvpJ6Z6tedXQGNNaPi3QPc95P4O2iWqSlslFsJzEqWsLA0R6GFoz1YWS26TK/LGtkatrUYATYqwy4hdQa0BWkmpKzlC9spZiBGoz4K6CLBP63vZupcdfUYaK5PAggZc6T62RMbXLMwKn+Xb7MZGHK3UXjPDzVxnmP8og89iZzJYU4D2FFSMlw1DAvQTf/j5/w6/ePW/hVxm2vlf/l94Hc8T8HKPckhknxkY2tgSi800N7aVBksG7B5FGbwuh9CSGv9eGpnwlpe3qIeurXmcbZxRtGq37/W4tnWIAsgF4ZLRdQaaeQV5dn9u4xUXbVRTr/j6vHeVgP7Jgv+dMXM8ma+mFxFWhVZkgRQKCYWF9No6OVUZ7EecCbBoZPUszCu7g6JApB3WbteYKEzq2Ze+pa77+EEtykRwEwPEczbWldGcrd92C0yXIXCMUe0hyw20i1juepRBMN9wxvtywxarYtRJ9BXDbsZxN+Oh7FHnCFH2XJPtxfeuvWC5SUxarMBRBo6B6s4J8VJRe0HeBfMrPlolYblNBuRpa/Va4ze3YUETwLL10zZ3eGWb8P8R2NN/7H5gvDTf+GjNSIVfAH/40/8DfvHmv0Y4jchlwr/49f8VALB7VxErk8HxXvD882r7kG0wwwevtgryoYdUEwVKAOaAD48HSJHGyArPq+J2TRbDPtqM96CQRXD4hqrpAPdEnID0Q2qMx7CsSW73EPHtN/eQp4Sb94ztzl8IljvadpgIJMQLC0kzdjgNPfqZ1W9RJkZ8P9JkXSgwngL+7C8+B4pg+C4iTILpk4r6whY7ARIU3S4jBMWyRHz//hYlB9SZrEIJPE/DY0K6sChXE4H74Gw228fLETh9Gq2KzQRwfM04Oj8Jss2YLYcCqYL+fUS6AMMP7Mdmv7WiOwfsvgsoT10b7wXt8E15BRkDzl8w3tVzwv/4m5+hXBKm1xW1r4gvZsRY0fcZQRQxVJzmHiVHijct7KNuom+BPgGR84LH14J8EI4ZSsB8Bzz8IYMZn5s8doAOVJjHvqCkhPKBZ5NX0n2GuAag/0AAbLmt7BE/s9IeHDi2c12jsmJr/rj/tmMBdKQP5tgpVoLzUVC2zJ2/4fW3TnKHYcAwDD/+RlzphCp0dCGTPx2ytsOQmb0Fi0a/cRVBR27ptC0xbb03VqUz+pYOHertPcqeiHXYsaTWejC9EiSmIiobRNhfVlHgrMe0UoKBFiiKBHgbFp0+WiAjFc1xMGBjcBzMYEjfZLDP+JjBRf8gwAOpMXxw2uhRnMsnSMGqgR9X1wSQEtbrtHtW6wln7yuuvscDUFEGNpozCQsNnXchKgaUvHd47x2YrOadjZQZqC53OE7YdRlzjqgqmM8dx0ZZIg/YLK8kTXwFkRUeDTyANAK7D0D3ZCiniXR5YLkcA2rXt15g9kCpBTIUsik7a56P6+gIHqiw6g3aYdMUN1WBuSItZheBqHP6cGHl5M0NZN8jJUVanq+UgSEBatWy2gc64UXazDPAEwrlOJjtgd6HNYkXgWINbLfUSp5qtdmvdpGjdS4zR+h0iRRbEeB8AYonL7VVONcEAS3R387DrX2C0wxr4pindKYQF2ogcAPa73IjKB37O3S5Tsq997wmcByBMiAEgGCjwuK0ofFbUretdnhvUKm0a4odVoiIVWdkQ7u1vTRnVnBFGiVZEtb79CKZ9au1xGiprYKLfiO+FTmTUpcKSGQgmxRhYq+tJiUyGjm770pBMoAMhIG2FBZFOhOMcAr4ul5m4+Z7YEEyKqv7seia4AZAlcGds06IjnqSaLYFKoRuQUECjva1IJbAU2yuJccpQFJCHBRIWyO3BNrU6cvAgzssrAiQpow2X3JtQUDzi+7zWvWz6SyYyJ8nNQCwE4I740z4uksENSpYpc2y9ugCm2weK0DpfZ9+70UBcbVaitt5337/VFsQDAD9M/1D9nnQqo0aGpbrddVk7ScbFL8JrznuEfgzITrIa4HCbeAabs8Z+4ywoVdj8/zLoUPwhNL6dL36JTmY0qWBQ0YR1igcHbQUaLD2E68S2nniaq0ONg179qaVSmDjuQpqJqUvH22de0FYAoqxjLxyqYGBPkHsgGh6BRUVmqjErwGt4sR7ri1BbCBCF+HK2tsXhfmc5ubntQX4T8p+zy6iDBHpkhFP8zXqIwKVRH+yFe8DIE8n6Kt75H1qLVbeKxYAyIRGH0yjNso+sLaolEGwHNyf2Rl/sqpuH7C82hGgsucepoKwVCbWXUQTEQqyguy1QnJBGGf4eKyQU0sC2XtobWHCAB9AY51REMlABA0oHTArIN5CtaeYS/eEJh6onSKMfMa8GbBya8qp9Uj2lmrk1xKD9bBwfFB35nq4IqyP5usuXIt0cRDAASnbNw4gWcBd+kC68/MMmTPyiz3FCYs2UScHyMouYDn43t9z3MoLm4n74hqYLwOAoSIMBbf7Cfe7C57OOyoLV7RRaP0j/XrpBaWPjH8OtA0G7Fy37ryK9oRZ0D0z1p1eRiyHgO5MASkKc4XmC6Uo1JT7W3W4AJ2fJQGkfmegO3G/zDcUl+qfKg4fMub7hOcvghViwrofa4+UgaAZnN/G1+G7GbjjeKnplWD3R49Ylojl+z3iOWB4pzh+kymQtKPC8elLVvFkCsjaI2auI8BEg0kufWWYgf4hoOwUy12FlIC7Xxfsvp9x/rzHdB+QLhSb9banphwugKggzB3SWXB4WwAF3v0XguMvHjDPCdOUUJ863PxlaiwCb3nIB1bD+w8WS1WxEYi83nQS7L7vEGZg/wPziHd7QX5dWwKbUsGnL54RQ8Wvv30F/dAjPgfsHgRlr5g+z0Bg9XB4D0wvgelNNVX1YMAY85p8VJw7Qf8I3P5VQe0ET38IzC8L8p7jypY7hRwKdIzoPwC794rDtwuGH8Ym8ioFOH5lRYZIP5sugvLQoQ7A+ScFmhTxOUDfHyF3FfLJhKHLuL+5YJcy3uyfcUgzfv30Ct8/HQnomCji8G4d21acvZYqkCrGzwLCzNGm2lXM98Bjx3U/fKvoMjDfGX17V3F8MeLS9chv92svvbCtsb6ZgccOt3/O/tV8FOiQEQrHFvGhGUBhf5eBs3C7p4Djbyym6Ph9rxLnvXBWeY+/1ev3V1deFiD0Ro1j6Zt9Bn4g2s8ZTUNFEC168OA3wIK+bGhoWBNTgTn/FIDDrqmuunDQtmrHb8j6x6/RE+DKvk5tb7xSR9b+zc3vVENsvHBk9+JJZxo3m9XvxcYh1Z4Bgr9nC/qMBcgDRlrA67N3S0+j0yCNptSouNZjViMpPKoKKcFEa7hOLkzBzwjtXlwps1FpLMmrfYSYyEtYCmqbV/A7nnURXM4D5pRQS4CqALOXss1QZb1fHgQ2qsLnxu3dmfPaakM70ShqKtj0IcESNlv7JCh24IeiLJRtqmtbMaera/fqfZIfAR8cdaRXP4da2fP5170+Qk482A9F24iQddQAVgq/9ZN6kHclrgSsfXZWidVa4erAa8WDIzGoki1UW97avIhlptubZBQtRqFl1X61af6eXwMafTu6wrdfvuVEHDlh9mS2vxXbUfv4htJZ1YbK3FZ1K7RZZyD4yIym5rpNiIRVs6A2E3Uj3lM9Mw9276qtItNe1W6v9cCGtp5tpMpWhKElHp7R4grIafTcjdJ4daaCGFq/7Y/2/kv3OQrA+um0KFsTPPgTUsq2YnguNAO1JHZT1VT58Xb1PmUpula+/Vpy5c//DhVx5HJlFG0fh9WHOSjIvYJGt5UABJWrr3vvpFfq2b9qyW4KpDKb0vvKuAEUqx9vIkYuWKX2O16xK+u9UYjP9olTvO1ZtdaFZd3X14IxuErYPRlsIKNhJKSsimOe7XcANOrzj17m08TvAf5IAs3Yrt8T01gB/Ug9srX4DBGQnonjVlhMbb+IXK3B+ga48o0CIOeAJUYU8+eaV30CX5Ora7DkpJgCrvfu5wEcZwOQUht8zqzTV5nIOSshdEL66QhgqTzz7bN43nqP40rLpwvbML3imjS1an/FlcCX1HrlU9srUUU/XTJCSWyrqIIQ0a6jnTm21+KysZfNW9Gm0USF4lxb1Y7fdzCocu8tFcGZNl5RMeCqDglysyPNedgmt7I+Y4sNWmylTpPV9RnFzeeb33IqqVRQT8Sjv8qvp4tV7juFVrIyVACdCYDIIj9ipjQ2i4OjYV2vamdQ7YT2ZYCdn/WMbWwskKlkVwnItwMkd6TEJ7HHFsyvxhUgNWHHsuMImryXFhAH0/OiT1VIVEhQnOcOpQYsy+aAqJsY0fz4VpBnu55lfx3XxUDA3W3b781BzrWFaQUp/HPUdCdCUSBb7Ddcty8km3suVVubVXdSq8arCWTZfdq5thVgXW4SwsDCQsjA6WmAzhHdU7DJB6Z4vxNMd9ISVylC6veiljyue0JFsdxJU61e7mjH6TkijsI2llcd5puwKZBwnb2nfdU8WOPGZR9sbRQ5R8xjBzx1SKdgY4XQ7DMWafRybzVoInEei0a2D0JW8AAC1CUiDgX7/YwgiofLDlUF9ZK4P7ACQLKQbeZz4fNRgbuMcuEatpjAbKTsFTnbdIYAhEmQHmMbv6MBCF1FUT4bqYKwJGjYEzDf0QbmFzalw9dJrOqZwEJeqs3va1TEVBCC4jT1mHPEq90JgyUbOUdSrc3uuCa6TtVQQOfYfAU8pgPtZnnBcYn4DnCxrzALyhhwfh44T/hlYdHnObCN4yLA2x6yCJZb2y6LQJ4SmSCv6TO7Z39WaECjK8CPrwwYmXk9xVT0AYJ7spHM+Ztev3eSq08noNtDdx2WY8D0Ug0BtZEbFx8q73Nvtyqb4EE8rgEQZ0/aoqi2im499CivD41uHGb2dSFXHmRGh1GjdDUKm/V/8Q150OqOfZVhrghTAZrzFQZXrg5YAUhFGumc4nJdeZYTsH9Lhd/xJR0EUVRShBpiPvBBpswH6/N13blDV5Eq8dKwmLpYZVN3nCnoEB9nyKFDPq60sZa0CkfkpKcFGgXL/Q6lD4hTRfd4XbHhGlF0R6MgPS9IHy6QPmG561pw2BIXAcIElK92KGGNlCIAT3DUAoSagKBoNLCyY1XQx3RASI+Jc1jpEspNzA3NZx4nQ4l1PSyWYyQVZbIRDWkNnEiBvg6ofRO7IiVMjZpGZcHvLkELN3mzK13fh9+QZost+Nsc+ETQC6tyo6uJ8QdipS3XHel+P1KTbdQu7g8fA8QxLyC9+Ha//kwIqM5gGE1wasnAEoEYUHf9mgR5IFUUggqn88ZLXoN/S7C82giaPdKFN8veO95v/8y9TDRPgAyrwF4fWI3KbOOUvJIdEp9lOrO65slcDSDNNERL7q16ZQGFC9Us+2QVYEU6LVAB8g0FRyh0U9uzhXqAbIBDWUWeGt01cRSDI5p10DYurAUPgYd+nNCq1c1uHVhSJrYuqZ8PpjfgAVRdbTgY8yFdXLxldcRu+y3BrYp0ya239KqSu01iDDwRpWhLmAtk4pgpH2vkwlySCzCBffkikE1QJOcLZAgNXHCBvWqqpP18PRKIFYlqeyJAxSrT0wYZcSDH+5FzBYaIsu9XxkFhQuIJ7JVCKMDq1xDps038qIFIuTbdhnLsG3jnwanPs/bktX9m4Fi6VdSH1XyjLG4SGBfwaSyRiiZEFEd+zVWKPeFdxQSd4WKVwD2D1HaOdAIZAho4J2iVnx6s8m5HgdXOmCt7th+EWVuPolPSy6GDz/10JkB7ttVbKvzmgOXSoeTIvrMqwEQk34VBJG/OAPMLyzFgvOd6eqCZ90at9z0PYFXZZvUnHwLm4xpYSQX2P3CUjrOIoBSXgvDvYK0LHujFxgShgFdNZgeC5h8dIGF84OJbsslQAd3vEJ8nhOcJ8YsBZY+2NzXYqBcH5jpZ2zqANq7HQb6QTVCwAN1TXhls9n14W8u40F/XnoGtgzAtWAXm+x5y1zNg7kmH5WgcrIB4onjM2ui8JrJkE/jYGvoRJreKDmSR1QQsB+5rKtgG9A+C/kGRj4LpnssZL+azZ7Je2udYcqnBAmbouk88+bLKLoPX0OzaYwL3sX0SdHFV31UBpvt1tqqLlIasKH3AeB+ssqlIl8oK7j0ruOMrfl4cgXhZWRkagNAXhFDx9P6AJ7d1W7uQr/16PqAJkfmaOqCTbyi+Q50RnzUaWizjFf/ScZzi8KFAqnI0XbepZAuQEwso/WNFHAvG1x3Vn3Vteeh+mBHmjOnNHvOLhDhV3P1qor+4am2iz9RdT1aSvZ5+njAsAWlSpGdg+PMdwgLsvzel3UWxHAPOnwacv1TEC3D8LW15uROjfVM0dXUCiuUloEHRvRrx6YsTvvnqJW7+dY+QOY7mOQXTcVHUAShHnhHxzCpsepY2Zx0WI54/8/2pGJ8HxG97HL6m/VKQSZD3inxTEWaOPtIALLe0U++Rz4dt3EmAzfUYalLIKSLsF/zDN9/hYd7jz/78c4RTRDcJ462Edr/xiUJ/ZacEOH4y4k++/BZ/9eEey3f3VtEVVFXko6IeKvKNYLmjuvPwA3D4ljaVd4Amxf4wQfeC0x8EjFPA+ElA97zOGC89MH5RoF1FMOCgexb0H2zP7grSkJHHCF0E6CrujiMuc4fnt0cgKr68e8RduqCqYJkSsEgDFeYXAGACUGb74Yk5h4Ng0ZLi5VXByy8f8Ph0QPmrPdK5tuvpTgn6fcLyouLzP/kOu5Txy3/zJfbfBBy+FgwfFJc3gsf/fIZExfCXA/qvIp5/XpH+/hPO7/a4+V/ZzlF7RRnIMkkXwfyiQv/eGXmJ6P9yQDoTLKm9YvdWcPerguJx9n/g9fuPENq8Pg5wfZAxZJU5vxYHMurmRwhzQxe8x8gOg23A66MCWmC0fW0RW6yB48fXSrEBo0UmrwatFRi53tetQtGKnVVbn3EoKx0xFKBWImDt8PV1caTTCqDeA7YGZCuK5GqJkLXvzelxTaQgaHOKrChZ8tGEwKSNOvnRyxOMRokzYRORtfJo996qwAXrAeHnhGzeL3iyZEGbHWx5twbM7fc2SKknFFcIuA3hbuOURNdqcXuQH/27XtvCVUKw/beCsugFcCrnVtAEMeLj/ueratQ2WMQmmdkIDPF3VhuVokBak/YmPOXJa+u1/OhzvUJp19uEeD5+XTVj2s94H6sHf3YfYmvuQbAfvG0dxe1dEKBE0ex7W+GF1rtovy9Yg0P/ugAt4HO79Z7qbcCLGtYqoD0rBxbU0VKf6wv24yFYcBQN8d+Kz1QyH7Swau2luFYh3lRQ2r1XmIo311B1vVfodc87kXllRUnRxmx5H3tTNrUkN9gcVXgQuGwD681z8Eeo6zX9+Fl/9F+RprXVbKkqfuQbgR/b6MffayDM9ec1P9Ds1X8ebf+43Xy8D6/6z82efSyNCzMpAig8JZsqtu95adXzj/tkGzgU45r4b2zHf0axVpkhADp89D6r7W57JK8qm+4Df4cP4Jus99iq3yqbnzdgQIWnn291kfbzrXoX3BfbH2O9sMLkzIBg1XU1RgDpfKEoZPkdz3drXxVApmAXcgCKmDjI2n4iurYcrXsX7JuycwjKxLZ2aEBmq27mFUyo25hgDQFW4Ek2z9ZNVLhOfh5fufu/7hz4+NV8/ybJ7ZKBf6X5u7Xyuv18cw/uswH6GPMdbZ0q1tFeJsAFlfWyruKbFYT3Ki0ZNn7/DqRb1QsAqq4+WmRzJuvKqrCxaT5Lvo25s2ctRckk+PhsL7i6D/Hz3c60UAQV2vzkFUEoriy0aiNPpBpDrfKxelLbEm+/D93GMusfBxA8PpGKdl74TOttO5eLpK377foZ+oPUShv3qlZblw1AUDsXwrQlsJjGW9DKoKh7hVgLWxRpQoRXNiPre/o56wnuVpemraXb/XZtBSsbx55xyJuWPv85j/O2rA17VTdzFTSxsmwJ4aLwkZ+1ZwIR5vVnHKRa96o2QEnDauNzjpynvJjtW/tY6SkUxDiP9smpHHK19q5Z4/YlFahWqW190q4WHsD4O+BqvZ0l5nPQ/XHQ35CyLs7SqoJaA+aaMOVEv2duAB6D75gcOyBNZqZCRNnaoWIVXo9lsBYWBKZGLu28WMeRCXK2WdFd5THdhWbTGsGpDl3l960F68pegrYb9EJOigUhRN5EBbUVEDCXCJ0ixFsR3GfDwgpBA/Fh2iNtbZVr16eCEAv9uwNXwX0e/TyPW13PUF0/KwysMktm6woU2PULLml3/fO6AZxU0PVEWGs3mP9YGXpxqsD0Nzn99fX705VvbaDzZUZ3ruie0or2AY2CGhZB52Iym83oG16tb6odzPZMtA+kflQq63kAhqpNZVlTQN277Ku9r1HyNAh0n2wBGZF48CBLRXgeoX1C2bO6W4bQkFspaIezcR0BdQVlWSkU4k3Zdn8ePIPfd6nz5QaYTao7Tvw97wfxVxnQKNAaYOgTjWW5SciHuNJhlH2MkivUrpsLtzNEklXP6T41ehOTcG0jPrznKR8i8uEGK6VI2sEdFqKWJQjKvlKJ0QwzLNaj4cmpUZJFNyJcnYn2CFry64fUig4L+zWsoT9k/t5y4Hste0M9nyr6p9o2YxvjtDlI/MX5W9LsMBSvSjKZCnNFUM42w7wg5AEyWA/o/S209MC39mZVgZqBUqh4uHRXB4AHl3zo25PKKXcUHHE69VZgCizuupGxxxW4ru46JT0FVjYu1n8WAnS/is4gepB/feB5YtxosRYgecDVhF/q6gR9PhkDE15v6Q18UaxjhezS3fkFD0K2SUMybETc7gXLrR1kF20zVaXSNtNlHdnge7ZaQlv6YMEI76X1Pdl65V3AfMODq3+unF83X1Mf13Wxy6/s+Rje88BfZfYje3QXWU+Uze9qBOaDVYE7tOQ2H9hbQpVqP3E5nmX4wVDsZCjw8yp85dWHaBU6Vqz8sNRGSWyJryfjSYziWTezZgOQIurQ8/dyoS2F1U61VGhZEVE9HoAa2O+d+VziZJWTyZ8F76WF8AImkMVgFKHfbi+j46Eoyr5r6rthWQFKjYH7IDBR1Y52Hq3vnJVK7oEm8lXphzygVuHvrb6XTIFodO9QtPl4jWi02NKvrSHBZwR2fD8yRrxay/fdKo1vq5ZOnSODgT7Rk7+QgfRsh7gCgJpI12aUy6aNonaCfNOhjfTqBPMteyzXoFww3gerJtqIDvPnvn+2r7ILjVIZJz7//BzpD004MExWxZ0s8BPB9AKYbhlsVUtqfL7ufK9U67SxcpIFMktjPoQsmF6xh1JsdIQn+8GphUlQUrDEea2A8hwG4liQLsWCWX+2FPvBZJoNJralVZpNUbCrB0zQT/Nq5/nVDukkVPjm40AopM/5TNHaOVVO23pr5EjBsqP/S6M2lklLBprv26y/APXQG1NqQNmH9rnt82fqOYj17dZEscg4kXK9HBJ9QVEMD3zG8cSRcumZ6zu9CJjvNowVRTvjpQBBmWxIhTFNVmrucsu197mjzWdXIFSyXMqOCR7OfO/l1s6LTaI4mzDP7gdAzjxzA7SBy6EC3VmvBMk8uW3niACXT0JjvIUFJj6j6Eyddz6GBroAfFYtqXQ3XWnL+aHjevQVcsjQc0I8cxxSOvF5Ty+vheeWo2L+hIFssDmq9ZMZL16cMS0J89RhukRo6JAugmTiSExGgRwEl9cc61gT48g4U41+RU8pNpUPVFgOs7FKop1D9wMkK9I5o/9hhA4R+dBBVJGeF6BW5N2AfODEgbhkthDaK06K5V4w9sByx7Es6TFi95b2Pr4KWI70U/HC8wlBTbCM5xlZFRbPHQtQBf3bSBGgJSHPR9xZLBtmwYtfFoRZ8c1/HRF/dsb8YcDwLRfW/WX3DAwfOHpnsZFl3RN94fjKNVwYV5UdML6x87Sn2ndNimJj7agGD4yfssoeL4LuURqDEoHV35agi6I8dPjXDz/n14bKqSE2MSTGin2fcbn0qL/dN4YhFMDXO/z51z/l+94qlpcVcj+jHzLG7/fYfbNJqZTCTcsNtVuGD9x7l3BkbDGwuj38ILj5bcX504DnP+CsYJkDMAcbw8T7XO5Ih9YiKAtn+6ZnwfJacOgWBFHM9/z8pUZ8M97hu+/vsP+Vj8y0WC5xnesNrE1jBQfyXQEFxDgpBQB++HCDsgRcPlNMLwXzywI9FMglIj1xIsg3/79PARXs3pMtcvqp4sNnGRIVQYA8RQw2k7l7Frz/4QbxXUL/yLO77ARlFqRn0vE1Cs7v97ThTpFvyKBKT0yUt2flf+j1+9OVO6NNZhp2NLW/rfPyBV6z+zUIgaL1Tqk13hCkELg4gQanHW/G0ABY1WUDaaCww0/RkgvtYwuYfKC4v6QqKX1OFxI0ZyQiHB8S13uokQmXGnIoVRqiJUURdEUU188wx6eK+QUbupmwb/s+lIit8mApmzUjEirNmWsIrSLsiGvrJ3GHv1udf00Ux8gHS3I3dDpP0qVUokm9w0Vof2/7eVABJIWmami/UJxpgyg1hBWwMRW2oXrdoFAgUpW0IausIFgFIq+HnSdUSEC1wz2OFbV3mXZpn+coN69dGzLL5xBsfisMQJE1X1kyqZsuohaF1OKypVxWs6GyVhvrdu1Xp+zPZR3xYeVBX9NtJW3bR+sf1b5k/bNqQkxVgMSNJJaw6H4wurGsie42wfVkyIEXrwBtAmCvjl+NHTK7YqJgfembAAQwRoXbiwAV1u/lCLYtc2MwbBJhTSbWZqhdtcAA1T5rluZHvJrUxn/FdU9AViDND6K8o/o1qZIBNSli9B4/TxaZ+GyrfcFGHpRqI8TA5LZ6sv7xS7imtZeWFOe99e/cVAI6XYWk2hY6j7EBgYDR66Z137Qkd7JnDqOTtz5Osyl7Xhw2LNb2IMBcVv/oFaMussduO16t7ZM10QTACtdkIKLbeQbSVBEmtarBah/btWjPyj7X7Xx7FlE8iPM0ZbR+Sa9ibyqXNQYE2LVV+igAXIvE88ErfB8/j+1Z44JucakQU+7nSIIV1NlepPdXtbfM1ou5QdO3leDS61qhB67OC1LYbfTFbGqcIm1s3nYB23VjfR9PblkpkyZO6HbsFdV23QobMaKtn3L7qhEo1i4SMlCtR1Ot+uZIulcv/PJcDbbt3YhGS853BbLPCF1FCBV5SqjnxGRXqc5LwSZBvHB8YKsAuE1vwKt2/zCXmYCQA1Q2FHVH/qtXt6yy5WwXAA4A1i7w3mrBdlxX3kXoBFL1twnRzPXzZ9DWtj1br1oSAAmWAF/59e1r86WaAiRIE01kYs0YKJgIpyyk+hPI8bPXkmg7X6CwKQP8ebH+ZV0qNFDgptlvdR+LxihBZqwCA6B9r3h7lGSufTHWld+fWpAcNlW3YiNoCIiyqlUGPtv6IK2qeRWUqrUWmT+prpMRNvssECyfX2h77zAxOXLR0Paz9sfPZL8fAG0NwxgY3A/KnkhBm3nquixsWdFG16890L2YoCrI6CFZsD9O+PTmGZfc4bnvcUoD8mNq1TAfHaiBz6sE/z+vtdm9+x4x0VHvVbd7cDZS6QMkKbrHgvjhGfV2D73rTQBPVyC04xq2yQv2ChmYe9Ks87Ei3CwoxZl7XON8ND9t1VsVPv9q/a9tbeO6rsnEy3bvK4YPFdN9wOlL7qXh/YL0NAO4xcvbM7499aS+A6zGCfdYd1HG04Fnf3fRBrw4W9DbgvKL0kZcsTLO81bdvoV+th4qwhKbWKwrk2uvFJCsAFQQzgHdE9WY8+cFabdgt1swpIIUC4ZY8E4Up7ijorjf94lU3bwHxs8ysKu4vzvjxX7EX/6wpxCcJ5PBijvBWpNMiLN/CCi9YpEARAqzDQ8F48tAxeIAyBTaSDtXIC4GmKIKtIQ1lq9AFwpqFAw9g/uqgudlgF44T9hn73rvMHuMFborkCUgnuwGuwrpq+0r+ss8sac3HxSyV+htRn9YMKOHXkjL3j1srkeBfFvxs5/+gDEnvHs4Msb3ItsswEhlcIJC9LteLPQ/MkZ4P3RVa0NYNufvf7wkl1mZ+3J3ND4eqI0JKtY475RQYNOf4EmNCSFV5VgXp6qZQEzZ8XK9AhC8CtAn1CG2oBfKnsMwU4o+njPfe0gtgKHSp7QkIYyFM+fm2tBzCkN5QG1BhQVk0eTDlwM3tld7vdFeqlW6xKq1kQ609kRz8laspwpKr2t1U+hwuicaxnxDZ0ej1xbM+cHn1CfAkK+e106VYzrvakITnH3IQDUswiZ+b4q3A61VbKIpagKNip0eAiChHSYhrwHe1fgNf78MzuHakX7R38xIaU0ep6lDee6YNANWmeJ6pgkmRY+G0NYE5KP1UHp/j/c197IGG0YR7E5UoGhIXEvo7BqToN7tIXloAfXvfEkAIvszULT1Z/aP7G1J57LOcPTAfBuEy8bWS6UyKIC6i1ZF1XbtTRXcx+f4XguBAmxRoLWncFAIds0KMXVTBdZAPQBtvqaN4RG46MlKgaoAxcy8FbIlLR5oYXWQnjCbM2+iFLL+reLVL10PpHBNXUIlQixFEOe1D76BOIHXBICtCp48WICfTaCtqYQaKFZMfc/7wkIWdE9qVZe1shHH1Q5WKhhvPFo1Sior083OLXFBLzw0xPpt9pzRVwwJdY7j7mbGzX5CLgFLiRj7DssD++njZd03Ppu6VRQHA7OMhmZM6wYAOlARLKj3qqZ2rMyFwIfm6rwSAI3RKq0WeS62yFtgY16ASjtJY0H/sM6PhJj/WUAWhPd+mT0Q/AtXvdGtx9gCJ6+6ycJ5kxBhT3U0INNV1Mdsnyms8G7HidiomCayFAVixnFVPQO4t2Tzb4D2bomKM1birJy9vUezKQfNNGkTUryialowXmzMSgPaYMGc7RckRZmEIF4TUKFPjhGrb7BrE1XkIRBpj+soBhfom+/WPuEGBFkA4QF1KEA0ZkkTR6wMEpxWGmeeMf59YA10Q0ET8XG2DNU47V4D7X14dcFhN2PfL+httuTTeYe8ROTHHjIL4hRRC5OKYgkRBdQE0q1r5qwNtxtXPQ5ZEJowilq70NpaA5jfXJgIl2MPH7UWFs7TlnFByCv1ZPfdBSIdfaOduxypUpFGJubVZjTnna2NGiutALCxOTVSRM97R8s+oCDAe/Bb68+GqhqyonuuDcTl/zMZWVGs/9wpjILpVdcYNltQpnaC5dXOfFKAT7Hon1Z7IaDOfcsRP2ixDMSqnwLkI6tEYqIy7vOpZqpQo6IDQB0qLj8BixJ9hSSFjhHlbEI8NkYMyv1RBXxmFtuosgobdia2ZDbQ6Moet+xWOj9VV4GnPSAloHsytdUNAO9smDU2YcIUsgIjbaXOHTR2xEp6RRbgYrRzjYyNyo6Vo3xTMMSKrivob8+IQfFiN+LYTehiQQwVIop3+x2KsipcFyAtK/tjvluZEyGzcnnZbQFvtEA/upq4YgUYHeAQ4ajMPhkQKijHjv6yKLonMl50P0Dz6gO7s0KfaTC1CyhVoF3F6SeRyXwGhvfSfFkb9xdMROmGQK+LlsXvyX/WQGZinKnKXSOZeHHU5oOH94Jv/+ol4lM03wbrsTV1352J0wX6uJP16++/B3Zvuwa0hRkYvk2Nruo+6fIpZ6+6Zk7IApxZEZ9es/JbjpWVyV2BBEW1tox6VMyDxVwfOhR0eH45YzksEOG5Ok8JdVehnUB3FdJxZu9ks6T3v03QBJyOA14eLryWs1XAb7X5TQgwvqaOSViAeLFq84nXffkUOP00oXaVrS2ToH9g4YcMTsYj3McCKR0gNoZnBtJDwl98+4biWXOExIp9vyBJhewKxtecTdw9Ebh5/qIg3s3Qpw7hQoqzV8mHuwlDn/EcdqgnUjnkicrW3SMPufEY0HUFS1cJgqj59YgWE0kW/Obbl5CgkKAIQ8H5i4r5XrDcFcgho5xDa3u5fKrIdwW774yRq8DuW9fVMGBktJitMqfJ276Lv+H1d5DkRkYvGwfjB2hYiNwGQ0ZJPxIi6kCryrT3suAiZEBsSLzTbuqhR75jNB2DUHq/RqCCm3cXP6rcGcKbK6t0Q0Q9UpQjzrX1zdR9B6giXkjxiCbJXw4dKcwaEIxzX3fcQHGyoMgC3W2fRT6atPkZGN4TmVqOpE6UgYZUzEuIB/kKG1GhrJRGRbgE9I88pPIRyDek1SQbngzb1NXGi7TEIrFHpEbOkvIkxOkny201CXhpFaQ4iSlDmnPN5mgtWW9JR+FctbXCtgZ9tQPqXq+CQB4wgrIjRagbMn7+5j1e9Becc4+lRnz3dIPHMUEbuintMAzFktxN8F87wWJjLTz4cLvzqm+jZs2VlB7FVUAEgDZlfZnlhgI48TwjjBlefN2+iPgTbBFD3uNMBC6OZVW/9UQWaNU3r576XE9SxmoL0LULLUmBzRLlfrCf94pHNOVYtVFSVplbKc2V1xlgEYMdjmllOrTrssRfq412CXGtkG6WyWl3TmckdXnty6iDiaBgRfH8lW8Uy13h9XQ8bFjxIeVGS8ByjuieDbya13xkrdCuIIsn3iGTdpoPqyK5Wi+gj3vwkQf5hs+yJoE+waj3a8WqPSN7Xwd84kSnHbwHevPypKMMPMhqZ5TNY8HtazqQ8dKjquD17Qk/v32Pc+7xYdrjIe7wcDNAQ2jIf+t1ERdyAcIg7fk7ayMqe3iaAnMwX5HVVDZ1pcwDCN5PaZVgiQJFXAGQ+ONDQpYF5OoqwiVjeNj02cASVB+HMmayHnoCNTVFBjt2PSpoI6nYI831FpubKVOBdrEJf3XPIN3OWlH4e5tZuClApoJ4nqEhoBxt9nMMxqiRlardGBIOCmyQLfMPauCfg4ekxq22DVwnl1uGDsSfgz0/Q+A1VSAqpK8IiUGLVqBOEUvpWuvHShleASOpirjwWuabgPlWrNXDPtKWZH6hyPeFCeQlXPd9FR4EZQFqvwbva//oOps+zLKOL/G2j00lqfR+/4AmxfxCoXcbKmRf8cXLR7wcznjRjzjGGR+WPd7uj3ieB3yDO5RLQjkH0p87S7AFqzhX4rOSYnGC+4+gHLsxsNoWTYQJmf6O4oH0SU3Be8lGz2eS2D0vkIuJPZ1HSFmT3PDtO8j9K+i+X6tsRbD7kJFOBdPLDnkPq6CvZxKrqEDnMU3y84b2lwdSwtnmswFoAep+KJDOBWnKKLuImhjDxGcKDC2vDsh70pJds8BVZzsbn+c+gaNu6Dt9f8ZFIY/YtPqQUk0AgXvJtREAs0G4Sm5BmAMDyUxaoVRY+8UGgBgqbj49oU/Z2p0VD897zGGALAHpwcfMrEBQO1NsDV3YqeysKFDQ5qfOt0xAaRvaKk+1A3DPQ6L+emB8MQPRmDk+M9i3ebbkV6og+fesQri84P3WASgHAQoprmERlFtFvSkU+EkVx2HGP/7kN/ikf8IP8w0+LHvsNOOQqM77bldQq/AMMICgu1QsCLQhi2mxsAiSD6sbCYUjXfiMKG62ss1Y6W+V675D7SMBUTO+UBTxUhDPCyn2+w51o5qfzhX6TIQyH4BcBegrxi8yZBEcfxUxvNPGKmxV+8B4sR4KcImNytx/4DOcX/CMXazqrWIisxNa7LR7p8h/1bU9HTJw/LogXSrGV5EjoOxcLwMTQVHg/t8Bx69njG86nD8JSKPFvSLIR17n+KZC38zQOaCcUlP8TQsrjvWORZUwlDYqSARY5oSaBbKjIvFy6TD85YAwA5fQYXI7VTPegc9juJmwHxakWNGnjK++fonjv+ohCrz9Q2OzLpwPXJO0XmR/5dsKJEV6l3DzKwpOcjSZ4Lt/UvD3/+HX+OrDHS5f33CdH7iul08MaHhgkgsF84LNq3sUTN/s4eRETYrTTY99tyANGfPrhO59wOEbAgvDqwv+wWff49/8+gvE94kV+12FDhUvb894MYz4qxJwniPkHNA9UoxweM/PG78UDN2CsesY+wCcWmUFAE0EaMLXA8q+Qt5MiF0BvqAQVgqMAad9Qumptpw/m3D/6oSH8gJhiogTsP+WINdyZ1R/B1EKfV/9KC77615/N8JTxWa7LbX1FLhyWxwrwrwRE9kIlDQ6qlV6Aax0oH1i1cr7a5IH7+vHqgjEEgfA0LCRO0ws4AvKyoMUVgCCi1D4exiSD6u6NVlur+aag/WqbrAEz4eru0R5o2xGTzbNkftHOf1LAUTw4de1B6TuqzWbK0JfUEPCciONOuPoWmv4toR025PitJuaAGkCIUTga68MWgZF6RRLDSiLoeRZUR1iFeufqmjN8E4n8DXmP9bk3p8J+4l1Q9e169krQqqIsSJKRbDm/cvSIZdgg+idEqdUgqvrmm1rMx6QlIEKtqQ+2edEQCzpp/CD9fZVtD7jj1/sJTSKu1dPrSogG7ry1TghDxQbhZfXz2hzTRLlStTJqo5emRzWrdeqTwFMBD6iMGta1W4BS2q96hx4D5CIqzFCm+v1fkRYoqAuXALA5/56/zeiUVItePdqeUtqfTZ02Njj9gEZINLYDQFAqgh9gQQgdRkxVixLRFYCWHmviIGqemJqwzU6YLHd8Bv7s3VVsUqugzkd6XL5pkBUEEYiorU3Re/RqZwuYrAGk77fm0CHPY6rcT1+39GCgF4b9T70hbmPKIbdYsurOOceD/MO7897jFNn9o4rek/r+3d8xOTyfVZ0KKR2MQCRZi6APZu4eaYtoLQ1dAqzVUVhvb1SKvQjujKEwRREbIQJ9x9nOzpVVgmcHDragovomI8m0LiCKqLKRNRs0+mluuOIFMkVwVBZ7TifWKx/b3svvFdB3Xc/Ah6aPaRgbAjzCeKVOiGQk0gv5/xXtPYUCiShCYi0xGdj0w2Qtetq+6BT6MDkNvQFEhW73YI+Zcw5YZ4jtLIirNVEycRseQQEa5uAM1NCJo2tGp3flcpJE1aOkEBACQZ0mQ/1qlBZ7Dls1nDb00oKHL/peNjacrHaOmRNOLRjzxossQmhYi4Rp4VZ+JIiHpcdHqYdzlOPMiZgDhDrabsWJKG/rPb56AV6tDPcFK69f1jjCuamZQOQ+xoKgW7Z27B6+HlpwEiKBuhsNnKKQIrQjvMj2fuGDSNh3YNpcgr+ui516+cVG8aJP1ubJSwgi0JWJW9NAp39efD+yk2PWlIDqbbjBttsYVM1v94Ydv8JjcnmfvFqXzgl3CjvzlTwQNyrmK0tCQQ5AKvyJG1gpXT2DFSQUkYUJhFzZy01H29Nw35bAuqgjNIG27V6TDgwVim3TDS1CrBwM4rFWs1OHdQ2F+baCnGmNkOcN60sWNecPysGeJmv7X0vKxOkVBED7/XtdMRUEioEQSrG0uNp3uE092y5qnxzFdqNA6+cl40GUG3BkmBngLMwalz7/r1/GVpJ/tpzMkPZx8Zq84JE7QPK0LfxhWVZ45b2mTBQd4zr8/FzfdNixwRdURf2gpaBwEwZlMnXk9paCYrFeXkndp7wHpY7ascsR5u3W1mBLANweR0QcrDCC5kz+YDWJ0oABBhfdwZw6dV9xItw4txeMO8TEBR6k1EAFHuOsgSEMVB30Wy1FgYqWtFsVGuABJvv66DMOa0BZ1CEQ0ZMVC++HSZU2/TdfsH588H8j+LDZcc4wxmPZ1nPEgBhim2NTz9XU14OptEg+OF0QAiK7pMLlkuHae4RRybLdVeRJ2nAkMdcceS5VXttvdLhzF7a82nAtyVgOXXW+sR8pOy5h+YSEVNFPrIHGENFHEjTTqFydvpNwFTJdK2qWG7s7BgD3n1/BzlFdA9h9eledU2e4BOEL5e0ar0pGFQpEC8EgRAAXCIeHg6INi4qzmi6Jc7qAOjDhgdF964ijH8d7fL69XeU5BZgXpDOGd2pJ2XmkfTfdM4Ic0HZd2yOd9Q1kGKTd4J0UaSlookeQTC/7OkIZg7arn2Aj0Zoh3YKqC5SAgbz3eMMjlLoUfa8vThnyFKQ3hK2rC8O3LzCfjUm6cYHDABCIGK2D81hAbB+IlKZso0cWW6wJrkwtFEUeU86hxRYg/7qTLWrkBsX0uAJkCIDiMNuxu1uwtM44EO4gUwR3TvONHOHFCYihVLdCKSJ9VD9jFU5H4o9v6zQm9yoAxCgvARyEYRl16pWGoUFwS5e9RexYqktAGOPLbhWJiaSD0C+z5xsns1B9xWhq4hB0fUZQ5fRx4IkFZfc4XEcMI09ZGJVS5OiCoMNik9tEjXr9Ssbyt70ivRSR728whaKJQ/iJQpPctckScpaAXOxHoqUdQiXBeF0Rtgg/ygF3qMQloJ0MWptoood+2yk2ZCKNGq7U5hrz16s0Ak0DVa9IHVTOwNrLFEG0BKIat8LmX2FbV6qKlSoio0IKOKaAG+T3DkjTAu0S6i3OzR6NBgc5r3TidRGQDEhXw7sbXXBmR+9zLFt5+gS4LEKZ69GZ6vodxkpFdzsJuxSxrvTAacSUYaC5V5QJkH3HIAL7TDvnG629j9foR3+CnzuFEWx6uox4/Dywll773eQRTAjIB+A/sHGfNl9ysamy7CyA8Ki0MzgZcs2qR2r16VXlPuMeMgIsSBGClYEUaRY8ebmhC4UXHKH7y9HfDjtKaSwhOYPOGqN1+I+5upzEnvp51ui6E6V9EAtWhBFcRhpSXBTxBVwlNB5YtJ6GIAuQi4+cioD8wKta3VOQ0C9PaDuEpbb1EAN+l6jced17BKVOK2txPvrel4faWkOHlrCcF4QzjN06JBvGUW7sFDZReS9V6a07VNemK3LLiKnjiIrk4kPOfOhC63fN12Iyuk+GohjQEbHylyN9N2eUJKmyEDs48pTY7NsejR5v9pQ8OF+REoVh2FGFwt+cvOAl/0Zvz3f49vnWzzHAeMpARIw33sSI5CHlZLJ+af0xWlU9E8VeSdYjhTgOb+woOdYEHYFIoV9+wBqDqhFMIeOSXwgjZCf4+Dn6gM7EwSqWVvCoJHVnjKg9W9qYs9eHSqwqwhJmeBGovHP44BxSXhMA4ZY8DgOeHreo8wR4UMymt0qJuj7uHRcXE9QlhvBfGtnzTu2FZTBAv9eEHbSqo4EmaVVJR3s3QKBweIJH7UW5gSVNdzRoWfVa0hIo+LwNQNq9tX7SDEyifonUouL0duXI5+T78O60BFuwb4wK9IptwS9dgHlyHaQOAtHIdn5UHvB+YsBKkB3qsY0A+LE2CedqQPhM5TZumE2b8l3OQQCUfa8vUKmsMRRqRsw3Rtw0DHBrL0nwaDomPWpamTwrwl89kmRjgtevjhBVXCZO8w54WaYcdNPmHLCPHSsFBp9QzZJrSej7tO9NzvO3mtOELL0Zm+HgjdfPuCPX36Pd9MBP5yPGJeE09MOutg4osGO941QZ8jWJ/ouA9I1ANNB13zcMCMW+jIXrMp3LDTIrqDrCro+Y9/TN/75+9cAgM9unvHZ/gnPy4CvHu8wjR1kinwv91E9W8xEKTYEewa+zhphSrNYxdiK+6YNmF0VQEDIivlFsvFCaNTmOHGc2vjpgOkuNuZknq+D//Z8Z6B7H2njdwUa1Yoga1EhZMXuB7aRTC86hBww31eUFxn61OP2N4sBiD2WG/rL+QWT2O6kqAI8/SQBAlw+M2GmmTTefCAtFQL07wO6kwlK/XREXQLC+w5hFlw+E0wvyezpHy1e7WlL/VPl2VkCQkmYXhW8+ek7HPsZt/2EAMX/989+ht0veX25r0CqKBpsr0b22FalnEVUpJ+RfVW+OaD/Pq5MgKPi8Nkz7vcjfnH3Az7pn/FuOeL78Qafv3zCN/8FUAv7Vd+/u0E3o7WC7N7KaqOBLQNxVDz9IfAn/80vMeWEP/13P0F6YhHm/Td3uP/sCf/nf/Cv8Ha6wb/s/hjzKTVGUI7KViQBQZgK7L+K6J94nfefPeF06VFPB8go0K93mGVAN0sbeXf5nGN6elE8zwP2+xnjpwSoDsOCFAsO3Yw+ZPzk7hH1VvDL+ArjY4J0wHJPuxreRqTf9EgXAkplB5y/sDOkV2jPvt7QF5QpIr7rmogVFEgjqe01AvNLxg7D2wj5NqF7BtKJAO/uoWA5BDwdQSDCdFbSGHD47RnlcsLf5vV7J7ktGTIedVzUqIDakpR1BAGTAM26Zv6tMiINyfPfYRIRoFptzA2TAI2CqqEVC5oYyoZnqZYchGwzF6VCPhoVu1b27GdUG6VUjSq5iiEwMZAgNhIBrYLE/rj2Vlf3ta10OnVGoZZwAiGWTeGOPxiEgYT3PrkaYuuT8b/tenxkT43eR7S5R3PwYn+HqAYQEvL13jRU+9xq52fdvIlfOyzo1DUJE3tm6kC5KBNdkM4WU0GMFUOX0aWCqoK5RswlIudI6ogjobBr/Qid1WABRlw/q1hVQzaS9A0Z96RMgRDEgn63Cz7LAMBamltw9LuqQ+v9by9Ir67v6uW2skGMPcD3yoiLyjTa3laoyvvUgzDBNYEIsiACosnWI9KmWT0La6BvKHkbH/SxGIpaRbBVjtYKg893XEdCSEN5r/qt/S1/h535/TFBV0ikk06poIsFXahIoZrkve/rlYLXKmh6/VlNpM4/x+9D3V5YnW39sB+9thVYrxTTJixBs2TGqydcIm1zrLd7unY2K7GrCJEBUbIEN1ifVoAiiLIPd0lYlggsgcFQtQRnW9kK19frVBwqufMeSy9X4nlSwJ5cNd/4kXI0afKrANTVy209WHK8/XrwNTaQAdj0fG7W0f3x7xBd4u/zmQg2VayJ9tqCdYBUwkbJB1q1esV74Aq3CGuPY7PvBgqtlT8yMvjzzS7Dx3ZgFVIRyIbu7n637cOPAWOzl1Yhsh6uGCp2KWNIGcc04yZO6EOGuD/3X3ffsfnbH5xTih0MdlGrsAV6Ns9LrGckRG2KpO6LqzHTXcj16pr92X7s57E+YwodscWGgCX3rCuQiiiTpxJRa8AkCZepR5kjdA6I2Vla7uc2tuHraI+p9GjKq2UA1KpC9As82yStDA8K0cFGiwmZAbZXAYtLtgWtLcsFoP8MTt/1mMV898f+KF6fDb4XPMGqqgR8LEkgRdwYMrLGNu1sSqyQuaBYjdJ0DTQBamKOTSjPWhGYmP41Z9TGV27pzF4hlGqUVwPKS6/r8w3Xb+MvV812dXgJFYduadUsANinBYc0k7ocKyQ6E2czBinjrz8v/bxKV2b9o1epAm2lc6znzIbt5ec+R7m54r7FmiKtCnztI7XpPXiCG1JtII6PjJmWDrUKzkOPU9djzB2WJaKUAGxis0bD7wgKbpl/6xgutCpqK9o020BrP2j3is1e1dX+fIyb+73mszf+fstGBKzyF7CKewo2lHvuw+V2w8LJaC0QEJvtHWTDnEKzXbc3vyf2UtL/b4EOgIl9Ex0KCopPmb12ZI64eFRbH7jP1hYnAOA4HxU7c8k0KDtjH1SB5kDRqc0zR1CExPPaxZqm3s51X7tekQKr+Z0wbglQJLsJNTHTZsoB7ZzbPidfd1cIn3JCVory1WTxShUUFeQayBaIBSXF1bijkv3Z+gM3LVqBIJbWAB//5sbjbSzedlJ7bcBoEAPmHTBTQakBsyQkqUiBcY32FEBVi+s5NUJafkPxTUXdsXILAFqEs9eLM2DUQDQrYBnF3YsnYREbHQQDy3WN0SwfYUwJ03pJqB/PAPxrXr9/kjtnYNih7gZA2KMoWdG/n4BasdzviIxa9TMUZvKk6PHvMqy0CHeGroDKQ4ZjH5YDNxupw+sonxUlVITcQ4piuU1sbB86xJ2hXOcOFMCKTCBSWHvYlA3PbZSDJ9BRWu9A2YVGK/Rq5nJkEBgvYhWZVVzKD3hP2uIM4BRQKlBTROgKhgODoMt5QFkCSo6Up58TMJJ24YjWdmRBNKVQWJC17APySw+gWWEIpkqozwFl7lCPBenVwoD7+4EIT1JcPqWR+Wij3Q/8DKfyuaORAsr3B0UdaIAuMV8Hhczc9Ol2aZXbXb9glzJe9CMqBE/zgPfjHh+e95hOPVXWRtkyvlt/jgsclEFw+pKUU1ctrE6LcCXQjcplTQLtbeNU0sLjTFpfPpA90KiXlWqrpKxlxDFDQ+BQ9a0C8eUC7QN7Xv2QMUqa5GrVWgsSxG1IVqqyrIE7QPQeapWIJlIj/Gzh6JB8jCs9WFhdrDY6igIVm8A5K4LRlGpv9KFcqb4bAtR7t4pCUVH7BE0By23EdBevDrzlzqmcoOBIp8jW4xpm2fQAylrxiSYUsjlMtK843EzoU8GL/YguEuSoKth3GeH2gufLgNF6ctl/SNXS7lw3whtAuuRGzapRkIKgXCiUAllBp7oDMAec3x34nBajcbqzF/aqU3xq/XrIFI/pn+xeehefUxRhVScfSYUudxlIim63oOsK7g4j7voJc40Yc4Kq4GHaodSAp/OAeeygl0gqTqY6Y7NxoFVW1kSMts52CK9Sy1o5NeS/e4bZsVHRAtbecAA1BfZz95vDQIkIt1aQcdpEVAB6VklDzeisUra1tzJE1IH+OA+CuMBm3ylqXMevBQPhKDwjHJFhInjdjmPQGoCwVArUdaaY7iAR0IK2YEq2TVwQHvip9TbK+vtRUKNlTA46tX2JFnw3m0mesBgTQNAObDVRqTAGpCdLprtrX4UiqJVq/K92Z9x0E/aRD7dqQC4BOQfS6CbB8J6VDReta3u4KuKF1TsHAZxxorONOsl2n4l7toTA/C1W298WHAqpj2pValFbvyprlXwTTNduFbgKmYnm8qKi9hXdqxG73dIeSYoFfSooNeA09sg5YX7uIRf2l/p+CzZCKF04+sX7/vyzVVi982fAcwS4fCq25xkQlYHPkHsykbpr42ek0owDArQSifXksntaEM4LpFbSkzcU+no7QHepVfldVK7tP0uolyMru9QZcV+kkJNiug+Ybvjz00uet4dvONpnvI8on0WOjLkYZdJii+lFxPgyNoVqf26MEXzUUm2tV2TyAPkmWusCftTv213Y41cGxlnLUXD5XOH95zivPrIMaqNCsGa1dq7qmaqnGgG8WND1Bctzz5EmAG76CXfdiF8cfsAQMhaNzac/jwNUgeUmIvRUtS6DoH9ax8PUHTeii8h5rziAVn0Os0Al4oe3t3i+DJjHhPrM7EP2GdJV1EFRF+qJdE9MiuYXvMfnnwacvjAqqE+NMnDHk9DSg0yMpBAbH3NznNCnjFoDcg1IoVqCm3B62AFLwFdLxPvzHvOSsEwJdY6m0Ey14eG9Ih84jskdlQpQ9gYs+OX0tHXJHtxz//n511+09eNKVezeZqTTgjJELHfmgAzgCYu2M3P4sCBPc/uc6S4g30vTzZBqKtU+NxUmFmSXVvbAu/+KVJX9b3nG1GcBkKACvPuTDhrZK1r3BeIjJJUjbsIC9B+kKQPHC31eOpO91D/C1HgL0rkC6PDwigJ1wzvuw8vnFeW2oPaJIGxBa5eb7xgnzS8Vywv2D7795g5vo+KrHYGW27sL9v/4Ee+fDqjf7VlEcPD7mNEdM7o+47hjT7VT0oefZZSfSBu4EA2QB4BT6RHmIxYN6GPGw2WH7n85QApw/gcT7l6e8XhJmC6pMRZ8z7dKdAaGd4K//B9+Bk1A7EycysCV82mH/8cv/xOUErBcOtLgLx0ZZbcZt18+4fS8w/Dv9hTuOrASDgUev72BzAHdyGecD4yPW+tgUuSbAvRsG6yWUOcckJeI82lACIrzoUMXC479gn1aMHQZl9cjaiVTCADyHywoAdDvBxy+ClhuFPiDM/ZDxun9HnKOSM8B3aNgfqHo//gRALD8+zv0HzbgYeJ1Qa23fuRIsvFTRTpJ883pRFuqPfOa6R745r85oF4C8P/Bf/D1+9OVvfppY0zCYhTMOTPwMTGPPNDhaV6DY3fQ1RAucvcdlvM/fuAwOAGAklm8yiYE5QkuxFSItwkwAIDCJGGJllDIpvfGjMDQ1uqoq64HsfcOO63GkfDi8wEVCFZJ9oeHpTGK2os9Lww62AonbZOpEnGiHdF5Sjb60MxNHhcG4j7DF1irby64EwqA2e7B0cUZAAR15yiTII78UwZF3VnyqLLGu37vjqTZ10J25NeQwEhD9Vl5UEFMpSW4h46b5a6/YK4JP1wOuMwd8uL9WtKqZ7AqTqtm6Jp4lQNn9G17an7UmtSQbLR+nTbKxN7Te6C8H8ztUJS0ci/vaozQTVCkLvQUrefPlID9b967IYfOSvAEdwOctBErAYayyzomqiGTjvav9tnusbqdaUtAuHSVztA/E7wXmvL6xj5TFMZWoBo3WuVHo5iKqtmEGFo4WOJkdsyDwNa1obza9rFUAJGDxIcuY5cWpFCxlIisDCA0ZcTYrc9O/FnolR/w0RqSqxVkYqMxRyh0AhFMsyPJwgNC0VoE+D62x5OtYdRW+faetzDrpn9bGxDReiIHQ/u7imR95ruUcduPFFMrEQXAtCTkGrDMCTpGyMwEVwzNlY+qG63/Ma3gURO16giEQASgCbLqZH14rerY9oX9rAGEbXa0xzWR9iGmWk/nZb/adBNIhYtjsCTTAJQutKDbE4LGIvDqoQrBFax2X3pWWMIiCLuw7oeCtSoX/H7Q9oKo+cmgbQTYtioDp6qmgC0bSOMKfrbkxfritxV9R8ProOvXo6L2lei/0cWqdsCJ68Rec6V2gNL+qwUTu7RgHxckKSggKq+GsjuqHse1b9ABCfclcaIicBkiJGwYPA6Sih342ZyWiAF/bufXScO20gAFBNfVflHl9YU1yeB6GUW5r9jvFtzs2I9WamiMjEX4u7UEyMjApr2crWAJWViskOs9oPYca4/mf9yOdWe/b+g+q7ikQhZdE1KfMQxs7tOff2sVqZv9sF4f5zLLujc2+3C7Pr4fndIeYHojG/0LB0fCIq0yUXpSsKtpAGxZKGVYmUkeT4RpvR+NoI5INpCoo337SClgPf/95Ulvmzhgyvao7EGvs/VVGziMvtIf+LV1ZN1g5gKoALGr6PqMJXTwKnwfMm67Eb/YvcUxTHiXb3CuPQ6JdMeUIpak0MrzQOrapwhhFdH3kLg2hK93A6+YLJUxYtQemCLiM+eV604godJWfOxOXn9XA1qfX7wA3Wnz/ticTf55SdHtCVbe7CYMsWDMCVhSY18owFhlDlg6llpLjo366vcQbAauC39u2SOuvi8GSPpeCK6BEbX1HzYB0LJeaxwzwsMZOO5QfCJDaK63AR/hkhGX3O7XAaTauVqz70lp69X2PQjkvvziEaqC89uXrRUsWKvAdM/ErLzIkF1BPVvjqS1UG/Hnol+LNP2SYG1vaazoHzLiJaM7Jf6MFVgoEgmEfUa5WEuM/b7vndqbbe8KkAPBNQGWIpCu4v7mgj968QP+tAb8UA8rQ8PO2Jgq+lRw7K2lxQ6b237CLmYEW/SsEY/TDqqCuURcpEO1mD2XgOED9+i5CPpUAKsgM8Fd17etcyBNd/8t/d7lU6B23IdUfhZcxh28cgm19ZsE+U5xvx8xjl2jCecj43dRIJxXsIW27QCtNDtER0HEKGSZ8cIEpQTUmeN65pRQExmDwX5u2C0oJWCeOqgCh+OEfb/g+ykiv+uR98CLmwv2Xcb5kdcfR8HwgcWwu8OILlR8gzvEebVJXxdnKYSCNoYR1Wj0StsWm+uuwn007oA6fpRg/TWv3z/JFaFIz1JQh8SewyQIywBXcI0jS895h9ZjA6yqqLxbrCIfACuF4tU2gVeyaOiCLOtYnHU2GTC/iBbYMFBuc8eisCfYAiOABtrN2QL7aEGltIH3foC5UEM+2Ew4c5Slp4AUgKtZlkwitPXIANrQldpbACWAFsHTw35Nqm0YtQgR9+4UEEdLAgWtT4dCIxSjUKNpcjg8D+3SAxWC/pFJx3LDSpTkiHk8QgqRNUcQNXoSzfuab9feZxUqwcUJjfbLzcoDdLkxlHKnwN2C1FXcHibsu4Wobz/ieRnwFw9vMJeI58uAnE0R78Iqbjw70GAH/oxGncn7QLEMkxH3JK/uK3RXMO8CVIg+795y8zvV1is928pFMoXK2hF4ga7y/rULyLc94iUjTuWqUhpe3EFqAEqBzBndmc8hnrNVWxhMlT2rXD7TUINXINb1bAqnCmgIK2PB0GYXGcuDNFoIvyeQPZ8D51Frs0VNgmgMBx+xhSBX9DONsSUDjpJ5z1LpBPmG+5MooIE4gznL5HbO7L1YxUYykWEqy9omNgeNIhjnDkuJWAod5y5lxFDx/rzH6bRDuUSkJ6rpdY/sgQsL1y5Y39EqzGVBTanQCeif7foVCB2QnwQqYXXqDjRgk1RWpw2tK+PjgzQK8tGemVMD7T0YNJK6k7qK1BW8uT3hpp/wZveMT/pnfDvd4XHaIZeIy9QjLxH1sUN6igyAzuvQ+21/otsmfYx/FsxXGE0pm5LuNkBxAA6slEplFcsFSUK2doa0t+dv67fUVb14XoA8tbUIpxEyRCBFiI13QEWjPYuJm0Rd/XE+UANgOQTU/seqwc5i8N5jjfHqvstAoKMMbAVxNoqfC/y5gBC2FEhBHA0ILBUyKoIDN5GBfQNNKq9tuTHfbhTw6RWBs9ppo2KtVFreG6u0PKTKTq8C5rJXE2rjfNhLoMhYgOL9vEeuEd883+L5tEM+dejPYiql2qrxgDGQJvpz3h+D2AbkWFIVCu09zIL8kJAPiuUFgyRdQkvqa+ezPrVR1bydiLfolNr1DHZxw+XGGAt7VrhiTxbG/e6Cu27EXTfiu/EGv3m6x2XuMD4P0CkgnoONA1vfK45o/2/9zAXWa047n15XlGMlGFWuWSINwDZq43YCAEV21gDdtSiA9ZlrF1AOPX3zUugb3M7HjKiTgQR7yF1osQXPBFbHyDKjLecDM9XlyJ/JhzXJiqPZ9w6YUqAde5V8I+TndGWNPDeXG4VkwZABZLTYw0XS/PwAeE3pbOrmC5OjYmPfXAF8OQjme8YAceTnnL40cDext1ht9ilEEfaFsUUgFFqOGVNg0oDnDvmcEIaCsM94dUcVbQD49+fPAQDvliNOucf76YAYFDkHxAeOLIkXxi5xov3Gi6L7ZvXnKqTGzsfQfHRQoH/P+56zoJjYTd1ZtveUGlsqHyi+VpN9zsjqf6M9B2cBYFW63STUfq51XUGfMg7dgiGSWRdDRRcqDt2Mx2mHJ9ywODFF4gLniO5DXEHyCjvzCUbtfqDtTK/Mjw+M+0RYPpeyVjurgYDunzWygMN1slh52CO+HHh226SJ+ZbPyYEYxoj1iqbfnYH4XpHOVine25lh43P6D2RasIrMObDvv70DRNElVs3CQi2LfACmTwvPeaMCx+eA/n24Aitasm5jMOugGD+pTO67gDQGDMeA/pQw3xrw3Csun5q/uwj0mx3bWMBnN7/g+3fPQHwA4hQwjz3X9lApbrkrCEHx7Vf3+O6Xr6FDwfDFicJdhUBjmSPG9zvMh9Ro9/OSqI5dAim7Y+SM1q7i8PqMPhUsNaCPXNggBO8//CcZYQro3nZ4/OY1jJRh5zjP7N1bsnacWp4PgumlxVc7BSIg5wg8R+iLjE8+f8B56jH+8pbCXzueUSLAae5Qsp2d7idtXBfp5yv92RPe0tuEi7628UD/6M23eDM841+9+wm+mu6QugIxynbJbCM8P7L3XfqCbpcJ6rwdEBbg+djhua+Q50SWUwbeffUC6Cu6/YL+bsRZbpDOETUqfvhwAwm8j8snguEDsHurmF4Kxk8Z1/vY1XQG4sizzNve2tgzA/xrr9BdQb2sYM7f9Pq7EZ7KhVUu7DnfLSlCTm2GVxwLVePEUUanU3FjOyVRNw6oIZ1JmlhByGhVjpY0BLnqdyo2RqY7Gb2o9QyTbgwAbU7mJSOeM0WmdgFVjFLXUfAl79E2Lx0DWsAphYuNwSlSLDPISHqGIyeaABf6KfvKAyYqvXkR4GTCSIdiCrRqkR8DojSiof3BDrcm3oX1e3Gq6FWxHBLqy0jE+Xnj8K162+THN0GmChpXHoHiDBzHgVZBSBMTXEeKXRjKx7jUoeJ4O2HoFtzvLxhixn3PwOh5GfD28YiSI0oO0GLrZNXkZPpOrW/EAsAyCJZbCw5s87oioiZFdzOjloglKvIckE6kh7VA2HqbWh9O5UGbVKn+t0+AUY6Z5AC5sznNwMYgAbnZA+cCzRmy5CYGEsfMXkivGOw7o3KbrRvdvalZCozCZ5Vqn7/paqF+WPjm9sqE0+eN3hUnXFGuNdAxcHRFbVQwWBJIhVvBcpOsanJdvakdAy6ncWrk4SGHvKJ+to8AgiuogjoFQEwQwZ+Ro4lF2LeUA5YlsvfjMOLQLbiMHeq7HnESpBPFP/pnRf9syXQUwO9lM3NVFNCiiFiTAg0RNfMAdLCr9c8a/TR4Zbd6EL3ZA/a1YnTplpw51dXuTXsFhoLUFfRdxqeHJ3y6e8Yn/RPepGcsGvFLvEKpgmVOKHNAeo5Ew01oJCyK/pm+rCkqqwMe0noTfaZ23fMZ6BJQAFL5nE/VrhFr5dL6lNNYgbHSLjYFNigPkmBjpHSeoXmlt+E8QsLQPqOxNvzxW4IBU3wtQ8D0gjRhjsuwG9K1UgWg9V85LdbX3NkzaxXVKjPT+plQoFQ/8KQlC2UIiAIyh4yqqkEgfUTtY0vMWUkRTPfrc62JQhp6yNaDZ9fswOESCNY4YCMWGNYNyGBVfVjwu0TFJXcIUDzMO8wlcmbsJUEuodm5J2zOXuC8aAZQ+aZrYlhhqfboaP/diWuQRo7fGF/ZyKNg1XPzHX42blX5t1VtZ0doXNcyZIUsDojyrOqGjGG34H53wevhhF/sf8AfDG/xP4ef4y/ev8Y4ddBzRBg5dsYZR+nM+/OZhttebe+/dGC0vMrY342Ypw5ljDwbpmD09TVRjJawu7+TvN6D+05nIUSrataOPhGBY9u2Sa6MC2diqyLe9ICmBixKBYanijgq5ttg1Hra0NZn+tkaFtKxgXVETFNOx+rHSy8rY0Gs2ntHpdX+wRMcEx9LQOk3YxEV6E4Z3dMCn1BRO2tngTQWjs8IB4AwkeKXfzqjP8xsm5g2/ZYCpJ6aGV7NiqlA94K8ROgPA5OOLxa8enHCm8MJt2nEVBN+dX6FsXT4MO4xZVY9gyhqDeiePG7ZgBQF6J4r9r/6wHix72y03S30drUNsaSYvkcACUwQ9wWogvQQEQqFaHRfkXtFOQjSOeDmV34u8v1czMxbywD7vrWtICgkKjqj3+/Tgl1cVfH3acGr4YQgit+K2VwW6BiRHiP233thRdfzxsDZ7gzMR2D8xPvNK+NBVLI6NkwFBLR5oes5QOfgeycfBFL89wxcHGhPkrm+3sa3nQoRx4ruA4Hq6T5YkksBIhY7KNS13AimwLNY36bGyqm3iuEdCya1F8iLGSlV2kfmbODhPdDUlROp+9qxkp4mYNwB5VVmohkSwgTUGFissrmq2iuWvgDVhI1OKyuydop84PXuv6eYl5hA2nwHzC8octT1mUyv7/e4+RXw/IuAX/zR17jpJjzMtNPffP0K8TGiFMHF7D6PCSiCcIoIk2D/xERsvo249DuUw4ylRMSwCkt2qeDLP3qLx8sO+B/ucfNXFedPA8Y3jCPLbYHMAenXEbv3lWCZne3Lq7q2dSnQ2dlwuQX+09ff4NfPL/Hb5xfoH1jt1RvmBXNOqEtoDDDXaoijmBKxkDocuPelcnTR8ObSmAp3/YT/8sWv8bPuHb66vMA34bYJJuYS8PB4QJ0j4vuE7ilgfhFRPqsoU8TufUCYgHIWtnxWgAxZoP8uQTtg/ydn/MM33+F/uvwc+fs9we/HnjnPvmLuFMOHiP27wjM6MReqfUApbG1IJ4pZzS9kZWXa39oxwU23CzRt4pa/4fX7J7nFaC8i0MgkMVhQJKooXWi9iZ6ktjmTvdOULWm0zL0JY5T156WuB4wnVh57S5F2iIZCCiJpQJYgZ08IbTNapZe9b7EpN7uT8orKcqsrna1T6EvOnSolsAcrctYWAKJAAIoklBgYbBa7buFGRgAfdqRzVVhiALBiMHEBCojuhAVNha/bDJ935oUnL+1vq4BES0i9F7RV+yIanapRJXUTwnrFsFFkTEhsQevNvaIRerXXkOGcA0KIK6VDAy6FFI+UKmoV6NQBiyBMa8+MB1+elHoVJ2RFtP5twBMXEzIIiq4rmGuAZM7xQiBAAWfy6WojNZGe2ajdfTAbEiw3nDsbF117eMD1ay9LeMVob7Vj5V4GS5StkusUKnWgJrj9SFvoKkr5/RWoXW3EEx6B9SCvB91ambLAtrBXL2wOOd8HV68gHHnRhZbgOvKfd4Llhj0780uCMLLPCEmpht3nJuygCuTMcSg1CJOBbHRJsx+Ahyj5bi7ExOUrRfB03uFZBixPA9IpEEAZvXqvLVFvytPZ5ga3ebbSKtQUeHIwi/1ZKz3LHmEWiAUCPranzSG2KmjzJQYgeP2bawwgs3omUyBdpvInco1YaqRyIxgYCUA0eA7AGK/o/y5M4pVkFatEWyy+ZbVotOqi6JpokeO50ik9aa+2diJtbFNNAunWKg/gP6sUSwGgXYLEDYICkAutakMmgToE8yvB6MJ8r9oFqyQ5rZ4AAcEcCke03lolE+NK8GVj52WQq8TBAQf2vK++ytV0wybBKb1XgbS1n2haN0FTzu5tH/ZkKpRdxfDpGbeHsQX4VdH68aaxYx9SFmgJwIK2WdsesxuSVCE9z4KnacBl6XBZEpYSMV06yCkinsOmIokWrMbReudtDBMsWISufblNGK5R+BnwxQnongkqbxPbsKxVc1/DZn8tuTZQJANWXGo2EhZBLQIxylpViqJMNeFUKU176BeKlPQ9/cC4njWkYVtiWoG8acVwyu7HrxALsAPKFCFnMkS2tGtnRXnLSQl8oy0I7YrN7Pdc31uKEojMev2hKTYfnyauYTZbdAVuB3V9bXixaLRb2hiTW78/r+qVwZ+FGkiyVrk0rKrVGgTLTWz97HE771VXeys7gVQ7b4qi9IEtW2kdWeN+r/ba3n93nHGzn1D3U/PlRYW2ngNKCR9PEUMIirwrbBVQwXnu8BbH1qvqwOeUE86TiTDliPrcod9ccwMCrM0p3x8gpbb2Nge1QllHATZq6o4XUxYgI0Iy2TCMg4J3RPBzgMbe8i8Q3ASQLbnVFWzLR86M1WJroYI+cPZtstFYVQM+zAc8zwOQnG5M+qgL5wCsPAJosYMz/8pu4ysCyIYSQQ2A9gwIvV3DQdB01tYeA2yefSdUrVdc27YCwXyJZAXqqsnA3zcgfAYWSxSDUqeCoCOZe/MLVhhdjGwL4pQ9ML0UUq4nnv8SFNIVaOzgYwyd+eixYT4qllurWC58w9ozpp5eE4SYXlfElxPKEhDe9px1eyKt188LP19E6QeWG17P9Kai7CviPiMEtg8BwHRTMb6JWO5smkeoOKYZXSjo9gvmm0i6PgAJFXGX7doKcgkcnReDja2BFWdiU5V3UKiUgDxH9Dvg8ias848rIAtH+dTho1GiWH8mPccG7NROgSL49fNLfLjsUAcWkNizCqDy8yQqxk/I1CmDtYclNFbLVj8nZADZKtSJNGURxfvliAjFy/6CP3j9njGQUkBQbwVzjpje3yKd6XNyDsAiZp/mIKAtttUAlEOF9hU/OZ7xsj9jt58xHXcES19MiFExnXroFLAcI8b7SDryYvGcARreu7z1u+lsdrAjWCRjBN4nYPwdB8nveP0dJLnW0CakIuQd6a0cUsVgqAwCGO01Dwyq3dF7EARw85Y90a3hgRW25SiGYqFRdKZ7OvGwyCYxQkPZPSiqkQF0HCscvfaKHr8vKDepUUDYB8kDbr5XzJ9m0nTuTxhSxpc3D7hNE6ZKdbS5RJxzj6Kc+VpU8DjsME8d8hQh5wQVXZM0o8d45UCjoAaFFvYVyCztnsJENDRMwPBY0T0XggVJgAqqr6qu1WoLYMNc0T1bwmM9l2Hh+nEcgK2XHaTtj+BKZU8KMDxUdBe1ofNrst4SYbFEYUe6yDJTdKce2bs0F6ooLzVi6MjrL6eIeBYbRYKWyHPUklcl0arFvdnA9AakBlYajPQVx93MpOsciGRFghPeA+JrQhoZlYrzjtRtf6mQyggA+3cV/VPhekRZ1RwBA3ME6BJ0SC24diaCJ2al935Dab05eb+qZ4olKy6Jv62oNyqVghX1w1rta9RU63PijDRSjeJkSd5swIMnhXFNSDz4/5hCPd8JxleK5b7i9mePuN1NP7LzXAPmmjDlhO9PR/adGtAzV1ln75lqoYLKgTIUDENGrYJp6qBFsHzoILOgfwoUqFh4sIfswi6kKDca+Jy9kMVXACSYaqn1YyYwmeksGWAbwdof16paGypls/fIPr+mCZC5fuvPcJ9x7p0g1wi9o23MNeKUe9SesxMjKFRRVSCnhPgcEK0i2WinM8eEhKyoKTbgrlHsPa/tAN2RSqhVSOXc9Gi1pMVaMsJChcp6oDCXGHOgdGQS0D5MD8B8Qzx3iF2CbEarUOygQJYMfXnEcnDkOK0BJICyD5iP1ETIe9pSPngSiQZcNnEtp0q7GIwBNhoZcNbk1HtZk/csFCqxBJYMBkV3tuBjt+5Bthtskl6L2p0CTWaOYrlT7H/6hNv9hH/y2V/iJ8N7vF1u8WEhvXiqCXON+OZ0hzEnnMae/hwJaPQ537Tcat1QcDxMKCp4/3SAWkCiVYD3PYZ3wRJSU/G1CQRxrOieFu7HwYCSTEfQKpTJvqfakjxPCLpnMAnoeV7VxCQgXSyJuuEadiflqDcTV2v0caWQIUEv/k40Wn3tBSmxwlVVMJYOz2XA+0wFm8+Pj9h3e5zPg9E3QwuuutNqk4AF6JuzowV8voyiGIaMIAtOMgA/dIjWsgJY9eNGEGZTYNU1CEqjgbqRo6HW4dFMhLpIACQtBZKvG1m1T6xIgFVGjhAzv3i7+n4Ha5o41UdRU7XKNCrZJGGxSnUHxESb1sj5n7XneME6sPVB9hlaAkYAYQoU5XxeNR90A1zNNwF5CO17NW1EMRvQxGvKB8XxFw84DjNe7i7YxQU/P77HT4b3OJcB38+3eDcf8D9//RNMl/WGQlSEVBBTQbivPEpKxOlph5Ps8D1u0Q8ZP3/1HjFUEw7sIU8J/YfQej79vHJZizhVaBScv+ThS5/CNrY0UUgzPa99/zxXA7qTjbKbxWISghahkFZadiaKGNiLW9M1CBgm7pXhQZv2ggqQjwHzPc/EnCNKLLjpJnw2PBHUQcA34x3+/P0bTDkiDgVFFPG7Hv2DtKJByBSb2gobkhbsQm7m0BPnkAZRUjdzRO4TUK2XtAr2v43Yf2+gycH2jK0ThavcZ4rtM2MRlGr7wNpQNj25mhhXpVNB3ncYsyAoKGJn7QnLnWB6VYFPJmgR6DldaVnMLxXzK/5bTglICrmfkbqM4qCNASzqQH0Bps8q0qsR5dIhPCY7nwrjuE8LQlS8ujvjD+9/wJ+9e4Pp3+3QP3h7htHzJ8V8s2FTHLg25z/I+PIXb1FV8P/n7T93bNuy/E7sN80y24Q79pq0lZlVLJJqI0qgBLQkCNI3QYDeQs/Rj9Fvog8SBAlEg+wG1WyyisWqSnPT3Lx5fERst8w0+jDGnGvFzSSrgCxwA+eee07E2bH2WnOOOczfjLOvccQamF5euOwbdjcDey8igDfNhZQt57uWdz7WItXazNXuTOMSu3aic4HfHa64/7SrVX4YHRRkj8uYJpFniz0INXK6S0zPJGcvTUxOAuGed7I3/VmeQ7mndrZs3hj8OTO8MEzXUuT+8u0z0VvYJW3+Sr6Xg6DDfBPhxydihvmhw4ySLAsUXBvjWeogNyLFsDaxNs1M6yK/ujzj3XTFDzfv+d/d/DXfzHf85fFzQnL468gQG/71L6/oPgg9aH7uMKOlvc/CcUfWa9jKhD1tE/vXR/b9yD+5/R3f37zn5zcv+OnzDX4b+KdffIO3if/w/hXnc8f4Qqrx7MHpuZFd4eKWc0/Wk52g/yiN2ukW2ETad56X/yaSzpFf8He//ugit8I0y6bSAzS1FqxyWtYekCW50cq9WEaUzmXyskjiRb65dMWMRQQ+9N9kB9Hm2i3N09JBpSSraRUUUl6SZWskQS6JxFqWXxOsAmdxLrFpZrbNxE0zsPMjXfLMyZGc4aYdmJPjHXvG6PEuEX0kRUNy+WkHR6cyOVpSbVOXyV+WKWFC+VRLgC4F1NNrXPhxAk3V4jOvvjctibudS9dFvlYS6vp+sUwDl+dRvvbtQsyUyy5BOBgyFrIYt+dshCeYfFVxK5NAua/LMyrc1JK8mSReueueu9FNu54y52BUwMrpAWMqn7UmkmW6aajiZtUy6VvFPSxT7vpaF1cpLe17LYDk4nQSZ1d/Lreuwm14WuSW+0qZSi23u16X5claz3YlSqLFXYUzG+qETX6ukYmceXo95Wtlop+8qvh2kLvEzWbguht41R259hfG5JmzJP6n0DFYz+PUyfNNS7ZaBKoo612bXuj3pSQQgJzMwuNdCVLUX7XBUiD5iyewoBL0s6xsY9Yv2RMrUbvyXErCVR+prpWQebLQMrXALUVunb6qYIgJSAc3OMboGaLnGDsewpZLakXKX9/LrJ6nWf+uLxsVtowRa8nV10xErA/qn5fue7mmMpHLZuHKl/Uits3azGjruyyFclaxQOtgBeOUdSPPtopWmSUurHnKwMKZKetcC0CBU5n6/+vvN6sCV9ZiXiD5K3qJnSFORtAKcxH0YJmMlbitjctsCjoDzAwG8RZNChNLrazzq83Is82Zz9sHvmjuEYm5xDm12CBVQplU5fI8jUD+TDbL/i+fZTUZi8GRoiFPFqLBl8RnWq8jRStUj1+zWm/StEyCQcbYws37/VdZw9V2TO9rhXc5DbVe4Lrrs6j0XkuxUahExb/ZzpJUjarECTAmzyH2XGLDEBvG4InBijVWEZep3PelULMxyz2x1Klx4d0SDSEsgTdNDreKCbagL9ROp6y9VHIAzS2Kb31tmme08blCt6zHldZQrKaKtQuGpxDjSgFYNQLc8rOX2JJr09JN2lgsa1unZSLQqGtclYxxGdckklUP3OJo0Mi9KbBro8sk6XN2Kw/57MuZRj3fYic0h1uN59fNQOcCd/7MM3eiMZExecbkxQrKIigNRQiJuJ82W7IhRfka+vcxGoHl6/+TjTa1FlGw9Z4vwoxmBV0qCDQbMigNqz6XIrBllveqg4sGqOroilizS/xbP3/zJP/JFd1Q+eFBiocwO0bb8Dht1Com0hhZ995FJrU6RKGi9b3LGp1XudO6mQNL00Wnxkktq7LeE5KiFjRW1rVSUI0G8pqC41CIp8Z1g7pFgL+U8fkqH1/ltskbwm5BgWRdm7Etsa1cs+qfrK0dV/c0R/23ySj0ebk+EUpTkbNNpN9MAglWQTPTxWqfCRCi5XHqmaN7ck7LgMwwqTCmSTzhGgPEZJmjZZgajMlcbUa8FaE8Y6gex2PyPMy9NDGj0KZSKmscQnTkbLjpEtftwEPb89gkUrDkwdVnRILcAkUlW29tUZd26v+aPaBCnU/WYqFJ6Rqq/Hwrm9xEQ7x4+XnlWTiJLxi538ZCY5Pawumeg2V92OW9S/4SJ8fsPJe5ISTLYerkPrmJZ/7IQ9hwP20JydK7mSl57ApJI+hTdBC4fC4TFdEwGfGLNpm3456NmziMHcyWGCynucPZxDwr3JoStyQO1sYI1FylCEDmIoyqf2c0v1xT+P6u1x9d5OazCpU4u0CJWhieyRUIH1FFZCY9gPU+ha1wA4B6WOQmq02Cww2Fz8BKTRSKKMj8PNDejIynFvfJU2NoMuQPIukuAVIMtf05STJU/HpLUqgJs4kZP8hUwI2GOUrB1nmBsVz7C3fNmUPsGZPny+4T/2X/Kw5pw//j0/+CN8MVc7KaKxumWbAbpoj2nD3mIipma+N6DNBkUhuwY6NdH9h8SCL6NCQN1kvSX5IhM0ZMSmJs38g9F6sI2Us2iYG2HwznF5bxuSYHXaqHbTYZ/+jo7pXbpJy5eNCpfEm+EvXgnTcChWzOkN86ESvpxWB8TpYxeMboGaNYIp2HVqauXSIYgz84mgOUgt1qcVMOC6PJWtIkpn8nScl0rY2NR8/pfFUn3yJYIJ395iS/RAxn4WxhqEIi9SBWKCOU6YAe5kF5fmWdXwbZLkn4twssarV+izBSkOl36BWuotcsKAJNRpTf1xzs0oDwyjtTdWyx5JGkJbfy/TWRUNRCtrrGq8KtIXWuJpnoOrEBostVUG3eybRmvM2EFzO72wt/fvc7XrZHfty/4dadKwz3kHp+O93xEDdMyXPwHe+PO8bC79K15FrJRGL2MBvybLkcpWgoHN6iGG4CldftFL7rJuUhTgk7ySTXTJJ1pq6heqNGaQhJ8VEgqrqHtbFV1YnbRYFVLkTXymRUOVLukxTcyjfNSxLZGChibraXQ2x6bBg6x7tmx7lrOM0dv21vOEy9IDqifVIYVli+NnGyk4/hBoGrRlWeN71aT2RZF/n8tPlW7lv7IGbpJi8cQhsUfr6RyWU5gctklUydjsWLrDF/bmjaBlZ+c3nTk20LKZM6tSypvuaGsLNVHMor51dgREWYb0nMBeZc9ubCr4RSoDxN6FKnavU+QxflkOy8qHJ+0omkHtxATZTsnHBjIuwc885i50x/ERjotDfM1zDeZcKzQH878Kd3b/m8f+Sfb3/Gd/0jX/kbvvZ3vA/X/Dy95BIbTlPLeWyEKzpqHN/J1M2c3ZL8GSngzqdeCrnBQTQ0DyKq50+L0Ji/yO/tMaricJJzIGfcGCGLOqpJyqV2hth7yE2NwWUtlGS+nou61ucbCKWoiFS1zdrZL4WTopkW6KP+fdSCNRnO/YbDtuW8GST5mzcc5p4Pw45vDlcMlxb7rlVenli5OFUJFhVp4W03VvZbiYli5ydNrvDomFInIoRnQ1OavGGxEGoPme4QdXIpNn6xk30571iEIXdZi1tTC2QbBWFmiqdy+bStJ3UyyQ1bsVGzMdN/ksU13LoqNGYyzK1YWySFY5JlvaYuyXSnjzIFc60kuqX/omfYWh8AED0On7i9PjPMnuNJnvG8k3zFDZn2KN/qLxLDSszuP2Tah8B87TjtvN4LiTfTXSLeBq6en/hvXv2MOxm94MjcuDO37owziblxRCx32wvWZI6Hnjw4Uh9xm/TE23mePDlabBPxrdyfbz7cSJ4TDcYLxzD5jEum8mJLEupmmdRmA43uXTdGbVwIJSVuG8a7htgaxpuFTlP5tHoejs+yqv3LfS9QzhyXWGlVmbqg+4QSI3H3+MIxK0+3fbDEyTCbjtk3/MXwOd5H7q7OvNyesGS+3D/w3u05fnVD+2CXRluQdWmivDdZY28r+aSblmeSPZL3DUWVXnJcr0KCzUGLTgeXl6um4rItl+LZlXwl1zxmvJUzNXnD5pc8yVuK0KsJlvNrg//zB6ax4fTbXmgJqhtjooH3HbQZez1JUXXymNniTlaRTCJIB4Z09iKQt02cv9Dz5KIx/bsD293AZ9pkCdeW8aUnJssQPHNw3H/cYQ6e+/uWe3clDcHbTNhJrtccRaRoeJ2wg3BxzbDc0+aT4425E6ra2ZK6xMt/dOJH1+85hE4EAE1miJ7D3PPz374gXTx2G2g7eYjGQAyWxwdBp+y/O/E9P7JtZpwTHmr7xuOmMlzLzHcJ3wVSk4guw2i5/mtP/yHjZsnXp73l/Jms3yK+1xxEbyS2FjsK0q3Y/0jcVQHWc0EiyZfCVaDZT9I8VcRcHAQB4B9dhcpLQUgVaItbqXHsDP5dQ9g4vlF0kfnYYkfDV999zt989op3px0f319JftbIxKU/GDnbWthcD8y95/z5psZtEwVG7M+GbB3x/Y6x2fI/fr7jf776kvndhs03jrh1/M38GcZlzH0jQroFyeURWyPAnRxE5dq3GaI2DxJ1nYd9IifhHd//yJEuf7/y9R8GrhwjqMiHPCEqvLUoWZKXZKlA8rJDPpD+m1wOi2AIGynxS/KfMAvMrXQIu8j1buA+WmLrKBMwsS5yy+TO6w8wyMrWhK1YDSx8oaLI+5TT40zSzsdMZ+ea/F/Zge/6Bx6STHhbu8GZLBLdNoskvxHJchC0Q1GQzHpJ5bPXKVheOo9+TNhpVdBqkVuntVlEBqoQVbcU7FASzcXj0kb57MlnOSRsriJYabT1XmSPdHbdUrjVKamKHsgUQjaRG6VIC9oUmKNjctI1m4Jjjk54AcWvzBVu3ZJ0VK5JXv1aFQruIs82bIXXYSaDKclMKL/LAVe8CWNvpENeGpz62WQ9UrvN+Q8IPPGtpIgYZVq9emzre/x7L32/pDAe8U6WRZCbRUgjjUYQCqocZ2P57HmZGDSZ3CRZQEbfXLuma7i/WKvkCg0la+crId1T/bxJuYtlwuy6yLabeN6ceOZPvPSPXNkBVwRv4p6T70gYtn6qQiNkFX3TNWTVUy4WiBY8mUbWSWbpalabhDI91bWuv5NShYmbnMnrO/8tEplACvX7jK2dwoJeqJ3NssYs5KN08kH3Ul6tQ52s2SANIxuKP6XBTpZkYJo8Tj/nlASaH6KVyfVqfVTebPnZRp/VSnyoQNDKNRTbr7rgyv6Lsr7dpHoBXht2KrBUPV+NfMbYsjRY0OuI0izI+m/NGgXgdWGZvExGVre9rJ3CtyyNojJhKFDenOVZJAvGigJ3mcStE7YyQZNDT9d5m/BdJDrxwAWzfCag2HA9vcdZr698Pn2sZcLcZWwf2HQTz9ozL5oDz9yZG2u4tRdOrmPILd5GrEmVn5vKNMOB9ZlEQsbu5Qej9m8Id7cqjktDxI1Lc6FOcENRQF/uaxETMjEKR9fqQW8NdnZgzRJnSlws21z/nDyiekqJhYZkMmmS+1F0Gkxairf13gMpRlNjSAO4syFbSUxDsqQslkinuWW4tMyDp5lMFT6pE8Ysz0im+bme+0kh55UWYCQ5TqMI2DSHp8/UBimQvKoKh42tn7UK+6kqbGw1Adf9JAm8qVPt33tpvJDzsNBJBBItTVcrdkUarySn0Sa8rq/Ui/CY8WK1k6Il9B6Srfs+owmoWZ5TXcc20/og+gwlXirk2KjWQdnzRf9i4V4nTHRLk6hMjtuM2wSu+pFX7SPP3JEiX7a1I72dmLOjN4Heir3f0HhOluXCQBSGjfCxl+CBTsEMcVq4mU/gKbnEdlYJPEvsV1cIM6dKRzGziNCUiXTsl+lNzRNLgbdP0CRMI5SvFKSZunYhIC/NtUWsTOlhrcAiS3M8OzCTEeXd3BC949hEeh/Y+Jl9M4rg0CT7ud6fRBV8emLnVG5hiT/6Z0EWLnHVREV4BIWyDkLLKnDzJ0lGeUujZ1nhzJa/93JMhv4P/BtFMpbPfre7cPaRh023IMNsUWM3YmFp0Oe6PAOrmgQpyTWgE3wM5C6RjCEFS2oz+93Aq6vjEyEvgCl6Pg5boYEFKfYowv5GhRYVaSc0lgwvRsJjg3njqTZkSCMrnpyq7EPA0rnAs/aEt7FOJI+zaCSks8eeHalJoPdYWF1GoMj6/50NOJNEJDMLra549Ca96cYI0ic3kTSLiGh/H7Wxoo2w6Orat/r3tvjHR2TiXUQxJ1PzvopULMewFyrHJTr4di6l+W7d/6t1U5AjJklMw1jCWabE7YMIBZ5vWj5c7zicesxBD9hyfhSakRUlaYBxo/nK2eDS8vMxVMHXsPNM2dAcLV7RuOYskCI3yLlYX5qjlOdvMFVYimBICHKiAH2KA0JuM/NVFqTs3+P1x8OVNz00LVgrXbOROl3KBvKUQVVgBQIhHLzYKQl9F2AUhUYyqmqJwh60KzcoHn+vHyqBmYGHhvfhGkZbu2JulGK4OclDyFb4PG6E5izJXeElyh2DrNyW5JTLp0qzphe4xW134UV74ofdOz5r7jnEDafUMWfH//P05wzZ05jIq/7Iw7ThIfcC5Qgy0Yk2y3naR2hT5dgRDfZsNdBp0FtxVGvx4i3RZfwsE67UesK1TF/cxWGCCjnEDI0hdm4FXzNM15Z5U6wP8hMYQrOdadrA4BPnrsFOFn8UoZ3kqdzNyu34EOsBFluDjVYLSwM0pLbh3cnzvo9Y9REFDZoB/L2X7lMuPCv1jJwl0EtBbokJ+bsz9XDPTrqeRTmuTMiac66cR/m9qAvbKkQUW1lD411mvk7LBos6TZ2EtzfcOlHADREzLQGapsFkL8Vu65n20vlvx1CFsrKRidy0twKj+9ZBlZqs0Krl9JMGzJKYLrxLUwss8dEzNYED/T7tKksxLZ1WOZCSQnGVe95aEdpSf9NagKtaXdMEeh/obGBrR27tmVs7MmTHkD3OJBoTaUyktYHOSxIFUuhNg1rA6Hp3XcR0y8mfkpGuWzTVN6+oeS+QZXn2bl7QFiabKoRkpoCZzRNP7gIvLmu9CMekVgrc2EN6NeLbSEp2gVgl4XPZyevkSYrkMlU2CZwWAlY5760m4G4rMN7UGUbXM/UNj1Z4Vln3fJ4t7rIIDblB1mZRiJUHCEUNFtBJh6V5BNeUBhxLgRyVex2Fo7+2N6lxrMCTO1Wg7zRpULsIO5oK7XdFmDBGclx19BKQpHFpp1hhfiVJLSJfyQmXPbaLqEvoDUbXVHbpCQQ/G6c8Kyl4JbmSQ7RME3KbMJ3Ex3BqpLs/mCUmpuVzitCQ0eLD1oZJo8It887W4kWS/8RmM3Pdj9z5M1s7cZ96QDLXz/wDziTOfcvWXvOr7pnC2CA4L2snyPMtjQnTJrrNjLWSFM2zY8ydxJ1OxOUKnNFfoD3ESj3JxmAVEZKtIW4kS/EgRe6qiePGxKKIrhzcvREl350k7eHFjNsEvI94n5gmRxg9+eKxs19ifhEqTFqIapOpWHWJvY3VSZfBjY53/S0f9zvaNtA1gdO5Y/7UibhKQaZoIcLq3Ck8YzlDZP8IB1juSfISt/zJ1WYpLGu+fRR0h5uSNqWfCsuJQJQiCPpMulIbjJJDZE82MjHLZtUkQGKqG4PE/Y0jW0EmRbVuKUru60LNn2SSGq7kHG/2E7dXFy5Tw6lYbqDJmPrPPqn/FFqbtlIc+zYyzF44hQWho7G5nAcVgQaEja9aJvO1J3YGd5F7NW/ljEYT8Jgsb6drUmP5s/633NozUTNKR67//3r7SOMi22bmfNswzp5xks6A9zLR3Wwm2ExMk2e8qK+5S9Iw+dDiL+oEceHJOdwe9fkN0lArVLayZ2Vte+wUib3QjvIsMTebYk+Y6z2JbcZdSb7SNoHWi1DQFBzjpmWaOkmiP0kDw58yzVlQcEVzxQ0sDhNILHGDFGd5O+PayPnU8ctDT9MFPl2fOI8tscuEveQf/kQV0sp5yXeL3kPoVTTIqaXRtNJFqahB1LpQ9GfEsgriSc/yTvZU2FEb4Nln4jbhbyR4h1EKH//RS140Z9KuI/klns97Q0B+fvsA3/z1K0ySXNjE5Uwoe8oNBvN+I2v1SpAK4Sox32TMLCrWbjJgZBopn0tEkOZXM7aNwtWeWj6eN4ToGMaG6diKp/BkpR5IshcK7DW1kG4k3wqPHXYyzLeR77/+yK/tHXby+EtmaiSPcwP0k2W+zsw/HNjsJn5y/Y7P2wcaE7k3W94OLe/PMqX90x9/Q+dDpV78+v6Wx99dgcn4m4mmDdz2FylkAWsTzXZi+JHqwCQkwCWYPvWCqJsNfhJ0yvnFgp0dnhuOPxFlsu0vPe2j4fLccHlpxcNZocll71rlm8/XqgPUB169eGTbzKJ/kg3H+w39bz1YmK/SE10cQcWpIFsrOZjVc1ZEFvUceZByL2wzYZ8x27CERM2FZXBkam7mBsPxKN63C+pRmkvl3I8tDC9yredMm6rye+wz9tmEtYmQe5yxS4NoNGy+9roP5bOEjVlEeXMm56WpSCsiYcklpsaRzt/Cr/9HXn88XLltyN5TOHJuzrWjZgzkoi5Y/0E5zKQj1fSBebKasCvssE4HMkYtZuYtFT4kCnsGf7KkyVRsuJ1VqGSmwmuTN0QtJLJjOUg0MJWfFXqZOlefym3Ct4G+CVz5kWt/4cvmE1/4Bw72zCl1fDW/5N8evkPKhhfdkVsvUKAMSyFrECiNzfg24FwmzE47oRIwrHq8NsesHAnz+10d3XwmJGjVm7LA9aa0FDRmgfqg/2zeGObrlXVH6RzbTNsFbrbS3Tu3kfnSkM+tdlCXCWNqjCbsERuSJCqhdKyLAJgkIWPyxM4Rd5G8DRiX8Ur290dDc1R4Yw9NTeIFlm1jVmGPkrhmqtqll4NL4GxFnAC6x0iRr5cu98JLLgVu0CRgvknY5yPWZJxPzLMjDRvh/3UiONI9WhEpWUnxGy8deoDcOBFYm6m8uOwMwgE0VYgHeJIo4ZBJVaYWudlnklmgqHXiB3XiVvlryzJYYMvIoViEzHLhr4W0dPWUI18hYGWioLwH7xONi/R2prczOzNzZSMxGU65JEal0E2iQtnMGOCAwtmUa47JkoSoKnNKYiOUsq/wVRtUTVL3qa3cu6wdfkmg6i8QMY2cwXQ1aq2nu9lqctAsDZHUZm5uz9xsBk5TK9wqFZwYm4bw6MhWPaNVnbhOn9Sn1E6yJpuTdEVMVMj7LM2kFIVrbkrLPknR7CaFiE4oNJWqCrwsKk16snyPM5lGYWGp0eeqfqBuRhK2CP4cFXbqKMr1tXnh5dAJu0zcqVWBz5AgN6IW7I+r7osoyyyXJDLYmDnUZ1Mmf8V73GQRuIrqe166vksRmnVjSzKck6yDPJfGT6EPZCnevOwDmoxtBCZmRrtqiCxc4lo0rKZawuETSKofs8JZBbYtRYHcg74VbYUrN9CbmUPqSdlyZQdu7UTKJ07NJwC2zcS5aaSvZJA1PDuF4+h29olNN+FdonWRs2uYLo183kbuuZ0VTm8y/hKxU6oe1bJeMvilIDTJy5Q3CZQTwM5R1omK2lUhrS1Mt5L4bm4Gdv3EdT9w1Ywc5o77S8/jYUt676oA2vo5r1EURcncdY7YZvwAzVHievzgiSfHZR+ZdjPx1OAf3fK8nY43dD1nfa6xk59Z7AClGbo09Mq0Il5KQbgqwKOgccRqbTUJddr0K3u8k8+f+0Szm+qkMSfLfHICk+6+1W1ErtPMMjW3oas5QVIoftWmKPcrScInCUzGbQO3Vxe+d/2Jr483HN/uMLOt69JqHM9lX+h6zxZpnu9HjMnMUXwpC+derk1/pjb+/DnquSZqrMkJ0i02pjadQl/ioDTcUjbchy2dDdzaM9/1Zw7JccqSKE/ZEZ3hWXvGmczLXrDRvzre8au3z+TnG3BO7EW2zcy7tGN66GTyt5WGQnM0dB9L/pV1bUkS291HmkPQs0en8FUbw9S9axtDFXC0st8F5q2DDV0TuctstyO7bmKjnrZzEqTYwUfurzypsfjiTJGXpkpqRC1b7IkW7YLspBEpdnuJtps5f9pgHz3T1vMRyeVyI0iC9kEmdzV+K6S6OFug50O15lKOdqFUVbSQNi2tNundmARFcZHYMe8U3r/XHKYX9J27mvn8+QMpGz4et0yTx3zwAu2PEHtPXAkJhg1EhU43x8z+V7Y2pQDaR6HNzHtpKrgRtm/lnj3+0DC1hrwRm6/LocMc2lqsy70z4mrQZnbPzjQuYkxmCo7juWcePDw29O9cRbOA2C7FTa7DnGyh0/079y2+NeRd4E9v3vLxtMWGjcYOGUa5UX7Ne/ju6098tnvk+5v3vPCPVUckZcPh0rHtZv7Pr/+KP2nf8fPpJb8bb3h72uMfHKnNXH3+yPPdmX0j4oFl7W/6mZu7A9ZkDmPLODecPm3wH7zGTC3QGxHwLDoIw8vM6+9+YgqO85vn5CPMVzI4K01Ak4TCs7gtwHwNm7sLz/Zn/q9f/jte+AP/8vFH/Op4B7Olf6+oJOWklzhlgwjsxizDpgyLAJaRPMhOhuYo+d/0PJI7QZ8UcdVss9ZRyxBCaFwCTccgKEGvZY261+RR9ml8PuP6UOc6UZtxqYWr/YXGR96dGpI6VZQ6sP8ge2neqRZBkvzBOMiisLugM5pI00Syj+Q+kNoVtOI/8frj4crGyGFc1CzbsqkLkT0LV6VMW0rB0oIdDPOhhWwEhvJ7782S1GvCkClFn/IX81PIKvXrKqQRhL9WgkyFKtvlDFv7VZaDFCAp3HZMjmPs+Nn0ig9xz607sTMTrZHpV5HgToidSFKhJRTyYZwcPGSjyO6MayMRajIUeoMQzgtkUw9cyzJNMYbcuDrVk88tRUFqnUzrCmynCBPZJfGPm8x0F8FnmivpXr28OvK8P/HWXAmB30vnLrUGN9o6LSz2C2HfYEISCx15DPUQKorN1fbHuAp3is5D0G55pxtzQmCMJXm1SGHkxSuwuUD7GMQqoZNJRykaavGYqbZKZa3EtkxxtPhGuahI9ygOnqSCKmlyeJ0mCuwNwgcDcyAPiw9XXsOXc66wvNjb5V7oqyT9xXh9WVuSIJGMiCiskqgFpr0kOtmt+KRRGxOGOsUtCoRulMPcD0lUdp0UZMXmpYobsLrXmjSaKKIBh67jm+mGOTtu3Zn7dMZqtT1nzyH1nFNL5wJXjBznbqELGSieg+XPi+2Q/iCribCu2yK+sEAm8yrJzaISWUSnVkJTJiXQJCj7Uu3Kr6Q+t7GXtZ43kat+5La7cNtdsCZxDi3HqePebrg0nfKhZY+IsvJSrBXhNrTwdXMmqfqscCEt8WIWMRB9ftKpfKoyKoE6189ffYxZFRpzrlMQkwzW6iRkzE+KO4lfcs/clKSx8oee8ZNf2o3Wg1EU060iFKoyFWYYMUaROasmSeztQkf5u166HkhGfDlLJ3y1zk25plxii4GLI84GM4uH9tquoyqmQ23WWL2/klQ6eUZjgs4yFwiqkXtpZsvx3PGpCXwMO6xJPM+eqMXukD2HtOEQN4ypwdtE78UjenaRM51woUyuqtcA4+wJKRGTqHzmixdbBKjT+HJPQu9wKyGYbIzwzGOmOUgTxw1BkDmNev1aKeDLfs3eSpzqJV6lJpPbxKvrIy82R553J679wJvxCmtuyNlwf9uRvPDqbLSqYq57NlGh7QUG64eiYJwrZ9AESJMnHR1uLUqybrCUQtGrErZaHjUhPf3MZinkxF83Pz3nwwLTXdMx1q8iPpUK5ckLRah8MWcRxZG1YjCFVqUvd56h86TWaxOCeg2w7J8FBqzICKVepclxvHR8bW84XHoK3L4scnNRr08VgsqKTMPL4o9RrHvS5MiTxZ+tKK8fxCfSJBhvxGKtNIFtlGTWpGJ1ZJb7VpoDwRCD4zy2/OzxBff9hh92b4G3AlE2kfu45dfzc45RxHgsmVNsxdd57IiT0wb4LB6yLlYv2Usnmy7NlhzL9Ft/9sr2xWRUFdzzRLxOX1bRDJWyofGvFABoPmEHQ9xk0nXAbwJf3jzwrDvzojuydyPvpiveDFfEbLh3mTU0Xayd7IJqM0WNe9mbxZ4ytjB0Lefey7QRMKNl+qBq0EE+Q1RLmHL2Vmh0Wgregt7Idgl7a7pI1SrIJS4YYiN8XxsVzhyoYoQG2au4TM5wmsTeLMxOlHidFLPZgjvNsMpbbFxi59qysVD/pmvId6XJBNnLJFKcKiS2EAyXh140EtRWJ3WCSHOjEy7uxgiFwcdlHyI+zPPOMq1FrKBqLxQrSRtgVP2OTmlo7n3L//tnf8r80HGtll5FwT91MNlM2CcOY0vjdhz3PTfuAsDGzdy1F15enXA28YvLS97PV7wdr/g0bgnREm4DGHg8bDkPLd2rwGf9IzlLTmRdovVStH/6cAUnX1GEZRJZGlhZtYZMknj59mfPMcFw9UG42/PeiOZKUPizhfGlNKHbT5bmKO91+bjh7ez4+bMXnLuWh7lnSo7uduDhz7VocbKG/NnRHJdYlbzoFGEy/tJiLnptrcDJQxSkib1Y8mQInSdvJpzLzBspfMNG65DgycYyXYlYGFmb1FnpKZrjh63EN6Nnt5wjWdxTsqBfHn9xK3z8s6n6M4JMgIJODPuCyJFZep4sVrUv6t557IkFOdRm0vCHeCi///rji1xrRelCZctjR4UtF/XQbIqHoRyApTslEF3PfBdpbkdisKRTsxSb5dDRQOIuysNpZLrnRiMqmqtCq/IvtVD1F9i+i5ROcTZLEVimWQVKBVTzaYA0W+YgNkEA/7/H7+Nt5J9d/ZL/qv8lWzuyccJxSdkwZ1ftVTIgdifin2htJilfz/tI2wZG1zD3nmwg7OVA9Gch3RclwGITYoJI8KfOk71deFUq0hP2DeONq1xXEaGx2gVUCPZVZvv6RNcE7rYXNn7mB7uPfNY98G/Nl3w4bmnaQHyeicEyXTqMch6kow7DncMkhx/TUgCnpZmQZ6Q7OwmfIRYvK/2tPLvuo6F9KFM8TbasZDRFoKQ9Jtr3Z+K2ZbzdANL1tCErPJc6cS78JTlcDUEnI05hF9nJwCpcDOnoJFlsEwRb7Yzma5FE37415GEkXy7LOl9N4ExIOPXJm3eFe7HAwJtLZkbh3kVVOel6aJLA2IPCcVeFrck8LWb8sp5lH8lBa3RC6EaBczeXLFOPU9S1L5PbsLVPoJwF4lIgktnKe4VTw73d8NX+OR/bLXN23LgLXzSf+Mw/MKSG9/MVc3bs3MjGTnxwuwr9KVxc61JV5kxpVeTqXihJdeUyKXReeIrUQtfMETMUUsgqwzUGovrm4sU3UAXkklqIhJ10TNN1oNlNvNoe+Kw/8EV3z4vmwDfTLb8Z7viqecbPuj1pUvXGqBYlccUPLgV3SArRkoQIJGa4ixRcYSd7rE5g0pJMFM6frfy6wqeX+1SSOjsnee/TEpOyNTSnSPMo05Dx1svk1BlyttoNTrCx5K1dRP00aSRJ8yevkAEmauLdS3KVN93SXgfywwGu78htQzE4FoEfyRTL9OFJfP4Da9dYaW6ai1tBZZdfZVqXIzLJiWAGyYTL14xaZAlsKtcpYGyfcvrnjdASuodE+xgUti1xIBu5F/ZsmV3PJ5t593wPwEt/oDGBU+oYUsOQWx7ihnNq6d3MtnHsW/GK/QYYDp1QPDYzzkmMHIcWaxOzT0yjxx0Elp1a8dXM52UyGLZWmodD0hhtwFvsGPEPZ7FummbImfjsmrRvpMGnMcbOJa4b5l0WSGOXsNvAP3v+K36yecNLf2BnR/52/Iy/cF9w1ez5q7FlvGoYLz1kQ3ugCgpmKwiUrNxsOyWalLGa6BdIuD8V+K40kaZrKSjWegdAnZrZkDGDxGp3SRWSGvZOVLH1+9tjaczptaSsxUOWibeTNy8iSHUN6c9OndCKbCOQ8dpcS1J0xl4g+2acMeOS/JvHI7zckLZNFYZa63AUbY7SOKuw6EbWUx4cl9gznFtp4qh9mimctuhoH0VIat6xcM28UJdStMRjQ/PRC1JDpzqbtyJ+dX7pOH9WmrRO1cUz7SELTH1rnuRH6z0TJ8s5dvxifM43mys+7x8YcsuP2jf8wD8w5Ia/PH3JGD3WyPo+zh33w4bDuSefHfiMu0707Vynpn07c9nMYrlzbIQ352HeyaRoRb+UfbkVKHhtFBaBvyzx3qqna9UU0QVUYNpulEI+7hMvP3vg2ebM//Hl3/C6eeAHzXueuTP/bvySf3X4EwC+cXdLoyJLIj1eFXSOxN72IFSPqlnQWcazVXFTJwi0TRY0w9nQPHqKoFcRN8tOIMvVe1eVv1Mjz6R43q71BmqynnTvlSaKUbsqY2gfM/5BFmEMsqYqVNNQRYGO514oHaMnB5mizteQ3oD7dCBfjvUZ2GkR/irIIlnfcsacvkzk5xPmQ0v/TuLo8EI+a95G8Alz8vijFd77dQSXsU2UvvMHR/sg+dj50BAaLwMdm2n7mX4z03aBsLcYA20jjcPTuSNMjpwaOKsP/XvJ/ctQav8rA7/aCQJvjzZUZJoYriL2asbazOEk6swfrvfcOGlm3/gzbiM6OqfY8lf3r8W/fGqIyWJM5vazA5exYf7tjhA77q9P7G9HpuSELuMyZy9Up+Y3LZs3S35hJyN2OlkK7tiWAQz07zPXXxmlzwRMhMsLL3z5IBPVuIHt9x94sT/x1Vev4BuPCYb+64b52vFXzz7jYb/hw7BjCJ4fv3rPD374kffTjr948zmXU4v7esPmfZbYtJFm0Bff/YAB3r15LfvHAH0kN4bgM2a2dJ8sdjSctx5u5Jn4WynmO+Xfvm+uCduGeBVp+yCCT5Pg8/1ZaFXzFUy3sl79QQJyEejyCsXuPsHtT+U+zXuJpcMLeX5pshUqPz6PmLtJ17vBjJbuvRT1xbJt95vM7q00TYY7Q5j/cxW5gLqHSyJbpjPlMDJaiKynCnU6IoeXiUY5cyXZN1U0oLzHAslbeG1mphYbayEOoE5hCmeoTI+MRhajcQZYDokn1yiKfSFYjrN0mLZ+whMZU8N93DJnz96NFR5hyfUwSMlI1wGBTiVS9U4MesvC7DCj+T3bgScy4NlUPlKBchoDJtpVUmnqpKl+nqyFl06Lysi/FB1bKq52AAEAAElEQVSdWxSjb9yFKz/StzNT8MTglvdIS7PC5NVkUd/fRtRORpZAWnfe9XCRa2S5jtLx1wJw8dKUb6x82wjZWlBPxzphW3f2y+f89t9/ewKQVn8u6ySIYff6veo0z1nMWgE7J4rgTNbkvxQBT37murNeYbhgjHA4crAq2sCy7lbXtp6qLNNE8+TtC3dbbJLyAidlaeSQNJEwuU7gMkuDx+TlGsUw3HEJDd5GzrGlMZFT6jjlliE3OJMqWgHAIvBaZ5MUNLq2lqFrSTYFHswsCo9PJnrrx6Vez/IHI1xcWO5vaTJUixv9rCuxuwofc2Bbgbb0LtDZmSs3cG0vPLgNnQ00NpIbQSwsU2LqlLXAc5+89H4JTF04sWb13EoS86TgK9emv8v0Ni/xpxTS+vlMWDiwmFwtwkQMJ1dBp3qjy/4uBcc6Bi43l3Ujpa6VBOJxsm6x5ycNndoMLBNIo9e12tsm6fbQLnVWT2aCXXHM9XvjssfK9dT30WuzQZuXaYFylWlJaUCU57H+vBJTbD0U6xovsSNBCI6HWaxC7tstAHMWBI40K2Xd7bxkg1MU31xnJbFjueWLLVr5PYkHpUynZXJhVLX7iTjN+rlnhSVHeQ7Za3fWmRV/TwrSgshYa17gxObO20InCPRmpjGhiqKVZso6Hou9kFkaLuW5f9tObxXH1pzbhTaxfF+952X/1PW++lrgiZ3RQi1ZCs0iyiVIlmXd1fW9jrEJseszhtl4CZmTI0dRnK12Hd5BubewxJcSJ7UptUz9DBU1UTmyEreTVUj2bJ+o+mIgl5xlHdOLYng0klckQ4iCLihUlBJ7yvuUSfaq/7ScFfr8TF4mht/eC4DSRSyXJM0bieeeOXu8ieBgo6o6H+xWzgqFmqMNg6DT3bNtGKZmQeZ8KzQu62V9FpX7luuUNltDxmCjUpOM7NniGLGO4XzreUtBvl7n8juANyIAlrzsoezRZ5OfnLN2FgpK9mJzWONqsUOxCjc3C30I9BkV+0WF55cctZ7ZWRojJWfKGdBCo96LKdfieMmPc4UPJy8N2/V9qI2kID8o6TmQk1kOnjK8+dY6N0nh7b3ohMRO39uw0ESQ6y+II6c6CHNjJB6UWKPFOhhS9PL3DQzPxJpIPoDkGWTEC9hJ3htVPSiqeFKYnSjVq50gJstb5xIzl73wJMVaTcC7fq7rXC7NMGhSmTBi84nYu5W817tY17n8Wj5bzIZLbMTOSPf1PMtNsWVia+Q+pUZ412VtVaEzhR/7YaFLUhBF0dQ9naKcRbMKVK21WVKb2bcjOzfxwWRClO+7xIZJdSJACutpvwiIAnw6brWmosYtyjqxQGn86dcuY1NpCTkbhlmoRQU5aKJhHkWwykxCISrr1s6iZ1PWWTZgWqXuJaMNeflYtqBsjeyf7MVZZ7yRxgrXM/v9wDh55smLOK6nom9LsRs7o8JeVC2cv+v1D1Lk5r6lTFSKnDrf8uUrLxtl+pQ9zCA342wJvnnyfV49p0oXvMBtUTiAm0Vx1425CnDUj5wLz0EO3GlnhdN2jBS1swRiQ2JXhy+CQc9qtxAay2xafvt4za6b+Ed3b7n2A+/DnnP6AVs78eP+DXN2/HJ8wTF2fGd3z0134WefnvPxk0BdAjpynKXAiUbQqnawbN6IQE3YCAwjBrCdiAjkWT5LaiS4mWPAPQ7Yxi1JjkHsls4Bdw7k1jLvPTlCG8sUxsFeDunh2JF3htvnFz7vH/hB/57vNR8YsucUW96cr/jVsSNfRCDKjdKVaU9JICwbESVxY8afAjFKQZytIal1TlHyKxsbWGVB8lvcyOdqTuC1sxo6qzyaRHOU5xRuO1JjVwI4S6FdIHHyXLMcllbuxx86hE3SwL6Jou53kSCbXIZOIBhePzPbDcZGuNd/HAP4RpIjC4W/WeClov66NBRMysI99qbCoUyyxALdV9GFwsWFksQJR3dJCKmiFQUSbsNiS1KUW9dQUhMzNgsHkJSJG0/cCA8wFrXzVIKxFCTRet6ddlxCw00jXAdL5pw6IoatnZiN49O8ZUwNrQtcd0MVOQlRplpJG1cYRIRpkqm1f1yEh5bCUAu+Cl9WDnYjk/aa+MBy0hlT1aPNGGUPK0KkdM5Tm9nuJm62F561J+6aM8/8kWfuyH3cYk1i34x0twNj05Luu6rkKnZdq59rEEhpKUpmaEIktbKvKmTSZwgGpwXck4JTD4XkFr/SbMr0dlXsBEnA9OZXOB/6NX9WwYlKZ6DC0QtvvvCRF9VCBCJfik1tINkJQWMcz+TxvGwSUefChKgJKNVjunyuMq1ozspBR66nfRROWRgcsV/oDKbcg6xIlZPG8275O8yS0LlRYJumNNfiIkpXOMoS90zda8KNMkzXYntUm3xBptk2gJkt8eL55eMdH9odc7bcNheu3CDrOzvOatT3k+1bEoZ/f/ich/M1rYs8uzsRohU7tNktfCa00ZcRRIlRIcEZmqPYrNVrV2SOPHspcM2cKpQ2XW3JnZMYZlAIeyA5w3jna5JqggGbsLtAv5lwJCnS9cFHLHNyhOzkWkdHcxLRMtApd5D3J4OZE3aORL/QHNaFrAmZuDMCi1QhQhI0p0VcS+L9gvpJTug2MdpawDbHoM/O6jqSBk7YOEE8BNF9IGUwHpOEehJVU0CKAE1ykIQ8nRwYR6lp7CTFZHNSVe+USdcbUhFpA9J+h80ZdxrxG09zLocKlTcqyeyyTsXGDi6vDNFn7NnKz28gqhWGFK6mIj9SC+k6yL1632BHtW2xS6FTitVisTjvrNgZvdMzbtQmV5Bf886J6NQok8lsDePtsveNAWMzvhERoPfjDkumMZGE5ZB6vuzusSbx2j/gTOaSWk5zR9/ODBt5RtPkRUzt1MLooEm4PorieCmsyxlWkDlxEacrsaL7GGjfn4hXPacv5CH054C9BKZnPeONk9h7SSJW0yntpKVakp3HlkcXOceOwanoJuInHbLDmsx2NzLYzHyUQGISKhIl12SDxHd3CcSNh8ZUTYRKt0JyllIglDguIlGmFodkQVAVWhmouOAokK2iJO6mpHtB3qc554q4KoVp7ASxEDrDeGNr0ZwaI8JB+wQR7MGT20w1pSgQ4Gw0VhvS3Z60sfAb/RFZJsXzzjJfGcY71X25ipJcBIM5yAR1vs40B8Pt38jne/ixF3qbg3AdpYAf5Bxv7yVvPf0gsP/HD8ShhceOSsVCGjlh8FVwysyi7Gsi5L0UW81BBLGyQpFBIPn+IkVk2JV8SuPHSZ7X9CLz3bt7Qrac54bGJmalFZ5TyyU2hOQ4xZaQLNtmonMimtnawKdxy/vjTpqT20hO4pf7y/MzDkNX7+t8auVZNzBdySQ/bMUFYN6KE8zmFy3dva4xLXD9SZCXxy8cQfmmzWFRos8Gjh82fKP3J3WZuEmYfWB3NfDPn33F5+0978b/gt/NV3wTrvjd4YoQLcOlJUfL8HlgfCFT8CI8lf/tNSTwQWoKk6m2pfhM9ol4PQm17Ngw/W4r/NzrSYYYnzrMaPDVscTAoaOIlJVmXOyh+5jZfxNJjWG8lmJ13kruHzvh02cror426rS5l3vorie4MpxeGnwb+W9+8At+uP3A/3z/HX55f8fBZqZBmyDaQLi8Mox3rorV/n1f/zCTXGtVcGLF1fmPvbJU4Ak50JIejGaSwFm5bavO5ppTYdAOZ5lkhaXLvK6pSzJRO2LfmnIsXEDtWJQp1GoCXMzCi1VIzAZrMufYco4tL5ojXxjpJiUEruxtZOcnGpfqIUAwcvIU0+/SPBuKd6EepNqRkwvUJLcUDKUrE5OOTHP9Vkl6JFlKtqFYxpRTX7qrmoRF6dR0LrBxM72ZtCsqm99bVX/O5R5Rk/611UiBcZpgF6VB+/d4/voWSbXKSvJcP3N9dno4NHb1vqvGSVkjaUmUsoe0un/l2yqUrnQjNRkqvMnytSKAZGMmO/u08/+tV22g6uQvf3sB5tKFVx6GlWI1T5IIF4GTKiplVh6KSr2waf09VAXSIrpVPve6ew5a8EaF/cZEbm1V01xPgkrRY1TpewqeyUfG5BmT55xanD5QaxI2y/skTIW5Wa1YczYiwhSsCAcYRCk9KMdyXiVD66l6eayZVfELOCsFr04Z62NXj+tS9NYp9ZPNLxPmxi6q0I4k1gD6Q6wRwa3Zp7oelunakoBKF9uUt63NuydCYBpjsAr7XF1wva712mP5vPX5VW5aVsSEwEfXPPAy6Vj4kIrysJL4P4lz+nxzYunkFpP51efLIUBYjYtAJrvlvtpvrevyo1PGKkzHpFJ4aVNGC4QSs+u9W8fW9XRXv1b/HMqE79sT3LIXshbxy3MpneTa7GC5B3WdJ4l/w9SImMjcCxqBhCVr19/iTKJXeElp4gC0PgB+md4maqGbsMtkJZfzaZlUVshmLvs1SyG38t3Ozoo4mLdLIydnKUCx9XnXe4YWMzYRkb0ZsyWuHljKohex+OYWxJBOI9ev1V6S8/zpWi3om+zVKaGssxJDV81HozD3OuWyot0hgngGS9J84ffjVxXdqvvN1AbIen3XzzSvpmV51RSsYm9UNFR9eZ1AVMuy5f3rr1XeYbUIylbPjSSTYhH0Eq9k0J+tE+TlvJEul9H4bZKIy7Es4bo+SkMflmKxPuv0dJ/UdVCtpZZvFnBdwtnEFD2X2HCMPY+xZ8qezs40JrKzE86ImKAxGbfSVsjJCLJhdNiLlby/jUtes84R1peQSlyWWOjGiDmP2G6hQMj5lJbJWFIhfWdqU60+A6RREldBPmKZclnzch41LhKayOiRSZDmDU8awGX/1b9YnoF8aBbkITyxLnsyLS/np8bqbAyOErNkWCKaCfoMlfdtp4wftKHl7HJOOCPOADrrkYkXgmZwGaOos2ypU8ZSiNWz3CBWTHGNQKOKtRUeZGozZhNEoOzYVA2B1Mj55S9JGy9OC/4sZxuoBo6KkI6AT3xx/cgbe8V46JaEq/xu9NqVvtYcCvpAzgw7L7zWiqRY5wKrNVDXlsabzgecxmavSLNS4E7JM0bPEJolX3ERbyLervIAm4VCpmi5kMQGUETkxKGjPI/cLOc8LuP7maQ2Xk/XRHmmQmMKqs1iUrkvmmdeLMkITLmgcrrNzPVm4Jk/cW0vgrgAUrLK49ccKxlxamkgOZk2u6SuMlGba3pdJhjwkG2S624j3kfOxwY7WqJfkAFm1JhW9rZSIMrQpZ4DOrfz5yjev5ul/ltoWmDLmtN9XsQGiyOB6xPbbubz/pFXzaOgZZ24skxdwlgrNCYrLgKmB38UGtOTnO8/8fqji1wTAjBp8bnRDtYCby1CSCWYmKSWGiaLYbZFOxGidBb2Se5IuZG6qN0Im7dGu8G5jrHrgTCyHH6wgvvkFZfJLl2hXKYD4qd6eVY653LznDVkDaBTLzCdr0+3nEPLEBvG6Hnenzjsei6x4d98+g6HsaP3gcZFjkNXk2F7KDheeUmxUvg28vCdeqY1h0z3uBz6NSlNEDuHuduSnZX/1wTIpFyFSnAGO4ulUNyKEidZ3j9kcH2k72Zumgs3/szHuOeQNvyrhx/yr7/+LjFYgZ+2qSbOqah/5qwwDJ1E5IwbIzYmwsZX2w43yDWHvQoAGVSBc0mEmqM898LPFA5OpvgqmrBKfgxLUaPFgLznMhVMjWW6sgLLUY5CgSdlI52n1OimPfpFQS4oNzxSYcB+KDd/tYvaDkImhxmM8D9tlCn3uoAxCVzSpol2u4uSqL+gPAmzTNoKHCotwb4W5SVpLEXuKvlfF3fZSuIgML9lCin8bUPoHaG3VdGy3r/14aHQ/MvUcD8J/zllS9IEwplEzJYpScJUBJw+njccPu7EAmOymogpZzKCmctzMHUfy/oXeH0p1Pl2sSpGpdhJCrDsLdla/WyZ7C1p6xXqtqwfNxjcxTKMDQcXeQwCT/6dvWHIwi0O2XGcO86HjnySACIiPipSMyeZJmVtdlgtrCIkb4kbJ/7fpZDTgzj1EK4SJLVi0AZGbcKVWDakp5PikFVAThoTQBWYy86q/cYqweul8VMmt6E31fpsmYaqiqHRz5Cp3d4S4+TnCx2gvpyHtiE3wv0v192cC2y6xCNZZ8J/N0uS4srnNEthu/o9W+EolnW4LrhlHyyFCchBrXlGjeVujKTGEnpZ+1YhwRVO9qQZV84ChSPOVixwouMbFzmGjkvX8Kw50dnA3o2M2fPvjl9yCm3lRM1BPb9nx3zoIJgqmlISzSaoxZnGElN+T5L4ulEag3ZSBfFUGgmWXAqA/9grU22mCn2hNC2n4DmEnvf2isZE0YbITr3bg4jT6HRqUe7PNXbKerMkfI2p0mixNVEil+m7+llukjbnLEZ1GNwgUPp8AaIq/yZVzQ9S1OaVYKFZNVLsrOidmKtNWGqM2PvtLNNumRCUc1r2klmE3bTR0h5MFUGUtZtwn04wrRALIUFndXJo6+Rw3klsludX1G950nT3Z4NJ5dmLoql5kD3mT6ZSVEByneZ3bZ1CFYHD1Oq6mOW9SxxJLQQrZ2gzyJRWlJMNfogiDHaxtAfhMZ9euSrmKAWCNOsx4m/Z+siUHA9zz9vpqjZzZs3M389XJAxvhyuBd0pPgRQN8+xr3pIb2agpWJgt7tFhZ0PzKO4XdtJcrzQFoqG7D7hLxMyRvO0kPynPvLGkja+NkNgZsUjS6fk6XhKR5D4bXjQHvmw+cR+3vAvXvAtXdDbQWvmsc4wMXSL2YqNY/MSna4NYWXq8M9J0CRm6Mn0yTDcL5zNbcdgwatdTLPD8g5Pnn2HameWcB7I2PNyQ8ecgyJK9Nuk1l4mdYY5eC9Kn+z014sxQmknFLuqJ+E5C0FEgvPkE/qK2iiGL4v8qrW9OGYPAU91g1B4SZtuQXMZdZMKaWhH9CXvD8TuChBP+cZZYNztyI1oX0nduZI8Fy0/fviAUM1MDZrALXLY0TLpMng3dp0xzysJL7WC6gfMXcm/cILnCdA1hp/nCgHKhIbnMdE3Nnf727Utu92f+6xdfY8n85nzLb063PO9PvOiOPEy3/OLTMwBe7E90LvC3H15yeuzZ7Ee+c/vAlBzvFar75dUDP9h/4C9+8wW3/0HEFo/fTSJsh/x8k8CdLJws+cHL8b3LHLdiudY+gNnCeCOCdsPzJQcGsKojQobN7ywm2yogOG4Nz65O3PUXRYu29C5Uz+HrZuCb8zVf/fwVZnAiRFYg9Jsk3OCNNNnaB7UBGg3WQ7QZq7aO8/sNYTKYJgsCRZWWUzKMt440G5pPHv+4FLvZSGzKLjNfy1oZn1sOP2hrnM0G5hsRsDKzVdQKhK2iFbX28ycjKu1erilGy18+fM7b/oqf3r/g4yexfTL7IIOSsZF18TzirifC257mZBW+/3e//vhJbkoYFZ0iLjCc0h01tuYvcuHFfD4XKyEk0bMCb4gbDao2Pyli7KQ490iFIYfeUIRBi7l8fek12Ekk+FNrmbe2FpRGE6bmMEurAfWWTaXTBM7pdc2WYB2PQ09MAo8YZ88YvBDbQ8s399eMQ0O/mYTbOrl6HU6VQrNXwaxhIa2Xw80qNLk5IxAkRxVPKgFS4CsNBe5FzvhQkn4jnUF0Um7zyuS+TBXB+UjXSDLXm8Ahimrub463DB8E32B3AeOTJg8i6pQ8CsNaFSYpY1KURN5bshVbI0luBGqSWtmIxcAc3ZT57H9vQuPG9KS4LRMujMGnAgcrHrhyUBX1UUkGLGGrSX9PTUDlfmlDJC3BVLhYpgoGWIWb2Gm9YnWJeifiarNO7j0UuJFscP1/nexawOr3VKjx+PQ9Ky/GLAV3nQyWoGL4vfu0TPL0Gkr3Xp+JJJQITLkTT9cnE6715yoFRkbEUJIVbq5JdFb4rNbkJXlO8msMnjE6hqHBnNQCoyT8sRTOVF5cvQcKHSv2Qd/m9D15JaqgHV43euWjOlJjq5JrSSwLnDsGxxS0IE8tD2FLypZj7KrthEDyZc8ILJd6gNpJitzU6fSsTHzsCh5tzRN0QGozeS/wFJMkCcx2gaoJZ0sL2pBr8Spd0lSn74BOrC2oIE8t3Gpxa6qYX2zlV4FYYpCpkcLGntxfbT7U9WPNUkWCBD1rwdrabTdRhM2M0h+yozaisrN1Ylyn03l53nUtaHFcYMpV7XO1/io3V9dEuca8unelSJSvOU2otfHlTOXjrovn9b4xsyHMshGObSe2ZibiTeLaX7hrTozR8+ZyxcPYMwW/eHGODWm2ksTNZkkuy0RRkzL5c17WZdm7IalIzTLRlA6+ITtXJ571tSr+Qda3WysiZ0NWld5jaLnyLUc1RZyzo1NkDkkFx0p3Pfx+HEnOLsPxJAfTt9FP2Uqxk9sMXVKInyRRVhWXk0LxjKHyya2ijGgs0dsFSp4Xzq3AcqVxmn3JAUylWIStWWDSq2cq0Huj56j4dvqjNNHKfnBjxpwH8rAICZokcEKhRoiaf2zFRgUrTVg3IPlA8e/NGZKp09h6bwI4beY1J6rCfXISj9p7UyHJ+kakRsRranOzrHUndCY3Sn5SLQX1/tso00E/ZLUGpPrYLw9Kvt87meTOScQzD6Gn00TAmkxIEg9DchxDRyyuEGXtTcsYrXI3la8nVCaDP+u16iQcU9BU0ozyh1HucysN19qUdgbT2HomJS/iXiW+lIGFLWJ5OrG7sheu7IVfz895F645xl7OJysTOm8T+CTNFCMCaNFJ8QgQTpZCWbOz3PjUqrDYTniCVfn3aua7rz6RsuHtw164iQdXc7XYfav4LCF6TvhzJGwd6dapcr/uD48KnZnFiUR1GEqBn9Q+KWnOZFbIOuH5S1CU9SOFjFPLmNTaijwBFbkqOfIaSdCsfW7l5+EEMjveSSMtdlkavGrPGRsR3QOYg8WMktyPD70Gef05Qa5RfE5lElzyv+aU6e4DfpCze945wl2AKIW0SSKgFIw0hRoV8CpWlnGTpOECDA8d5ybwne4TAH/9+IoPpy27ZqSzgZAdp5Nc281moLGR08MG96bl8jncfXYWwVj1on3ZH/m8fSBOlv1vReDo8toQynrU/K427HVId3mdyNuIyV7oX7aI7ELYJ5Jan8oo3BCSNKH7N0KpHG8NYSfP+KYb2DcjD2HDYBs6F7jrzjzvTny//wjAL8NnlSaBlC5yf20m7qUp4U8N/kwdkJANzidSsriDxR8N43O5btfFavGZtpNMpz/5Bb6v53byWdblVaDdT5XTHGZHOEhnqrkd2G0mHh625I+t2vlpSlEavqPBXrRpYmDO8P4sVLmH40bEh9tEtx/Fo94InN7uZ754/sCvL57k2/98k9zstd1U4YOS8JfJXznIhZ+wdFzr72VaFWTSZd5pobY6iMuvylXwZaMuSptryFTpnJduUtjKlNYPstGE3ykF+XTdkDpTD8zYy4FhknRsC1TD2oWsftMP2D6z8TPeJLwRFcKchf8VoiNFJz6P02KDUZJGN+kDrxMO6RijyVH5TKUT7i9JJqezdsSdqiuDJExJoCTZlkPCquJwKb5M7cjHaBlnz2Po2dqJXkV5vnf1kQ+vt4yjZz50mMlWnlVJQE3SaYmTiRbtUjXFzoq3W6NG5l7gBalPwuXZ6EROBb1M9DSnhW8EctAZawQGnRCBj42so6KkWgRDchFosMUySG012sWjLvQ6NbKLjUPpnpdpE1m5C5104qyukdy15FoNIIlf02KcI+dMe8pLYr5ORLWxkp1qJEVwzZLkCz/HVH6YiFItkwkRj5CvlYmbLYVg4Siui8Y5V45fgdImLzAoGxNmyATjsE46+FUog9U+BNYRQwSmTDVGT9kwI9OhU2gZouc4txyHjjA0uLNdYCpZD4Hw7Xute+qSVRlaJ7l67TZq0yRTC1mTM7lfuPqmxBOrcM567atnULrqCVIyhGwJRYBCJxiX2BCyhSZVmyl/VhE7a3SKZJdGTrE4UUpGNrKf4kYk9MMuE66kI7q9uRCCY4o9ebDVbkgaWqXotVhk4lt5mWqzkvqimiSImKQNrTK5zU7VhL1y1hqBRMWuFLjSNbZZLLPqZLQUfBlt7uQ6bVq/TBGzKj7BKmYX6j6k7td1gSJFnEKYWQqob1MFyjlQBDpgKcxrktxIR1pU+rWos2p5BAQkzhXFWTtnSEuRm5xMWJIz0qgovoKq/K+LCa/WKENseDNccfAdF4W7PYw957EVi6BgmS8N5uBV8Vmalv6shVBZehHcZWnigvKzVIk+O30mnRNhuzlK8QfglfLjrHDAy3rXtSD3ReJrVDub7EXcJiXDce74aKUDLk2dDe+nPY9TXzXKYi/8PFGof7p3TJKGoilrQAv0aKUTH3r15L0L+D5wfXUWf9K8Jw2WNGTyKIn7dGWVn6jxMea6vp2um9R+Cy6sjc3sRJFX/J6tclRVXdXK5yYvzUWZisrzX3ND5c31/PNA4zFpSXdyI82c0jyyEcyQcW+fhEIMK35paYBpTKvIAcsCr3UaPxWmJxzlZZ1nQ4V7+kHgmxVOX/IBzU1iJ0iKqnMCdQ+4Sfa5P2ke1AONetCPDeHKMmwkS73rL2z9hCUzZ0dIIpRZXgnDYer4dN5wGRriSaaW9iL84hK7C9Swop8KImdEKWRLDkiW3CpsPHZKgr5wtuZpsIofGXVnkIa6QOp1CtTqOgem4PhmvsOZzLtwxTH2HKIg6Q5zx/15wzg0ogZ8kgKwoPcKhy95mK6sPitfFenrUW8hbyLNbma3HXmxOTIlLzxNYNomwmgx2WAflzhXoOaClLDqIrE0iuwsjV1yrsWt0bG5iOlII6fs7flKpqi5LUmDTK5MMHgV/5EzVp5DiaduiDCWi5L1JAW8qWq4JoK7GMxgZRJoxO/YPDT1TJXnYOT86RPpRs6r+VHUxK1Oa+Mm43czcXLks8NOVu59NAyvI+52Ih0b/CePG+H82jLcNfUsC1uwJ1fjsuxrgblnPQvq8ED3TnYZ2mUy+ctBprXnWZSTP41bfmGeM0XHs9sjORuOY8th6LBNItwF+s3MObSMwfPhsCPMjv/+3PM/uO/B4Pj0E898nen+7IGbJvDxb5/RPNpacK8n+O29JR9NLTzLnk8NTKBwc0PxfBVru8x4J7lB6BXZEQy/+nSHs4mfN89xNrFVZfPj3PHV4Tnvz1uNJVlQI7OVpsC2HO4sNDzNHf1FHur8IGs4t5l0A6mToFNUlVNWWoCB6TZyaSzubOju5fyJW0Hx2EdP/OSf5I+lNxvChnvbVzqXScKLLxN6qa+yWHk2mc31QKM2TWPwTMeW5qMjdZZRaXSN5r/p2PCNvcHde5pTJhW/6r/j9cdPcttGVdJ00qb2JPNGshobshKHF4W92AjfLLZoIqKTtEtmowdC7Kgqc/JkqIlQFmE3CQ6dbm79wMVDtkA7UytdPBsy7WMUiIq+57x3zLtSVMvCnZzYvvhBhK2k8BIbIKdY/pf9kRfdUeCcGLyN7LsJZzNjEEx/mi12EJ+76tNbCp24dO/KpEMmpEugFEElKW79aRaRnRirhyLbVoOnFjediPUkXyAvKzil12ABpMkxNZ6P047GRH6yecMXzSfmK0djEj8/POeXbz6nOZqaCJVDCMpBLwnnmgcVNpbpSiBl1Zd3n7B7kZB/fnUC4HHoxMA89LSPK1/QLM+KDNaI8EZsbYUd+0uqSZAEGkmospX1lN1Cek++JP+Z+TZK4aOwGXfvac96SCRJPOa9dCz9xWAf9DDcNqR5qQJySphuI5E2QfsQa9K+TuRFJCcqbL8UY5Y4Ff4ZhA6mVgJ5beQozzY1EFTIoq4ZfZUpaOWmKBTQjQkby3TLkPXf16aIMVUcQ56pXvB6b0FViY3JMml3E1DeE0zJcw4tl9DweOk5nzo4eZqjqYdUQWjIRDXXZk41F5+p0E2BbYpYRyn2RGQpQUpgLalv5PPOEVJSGK99Ot0srxJ0M3XCNYSG0Xvm5MDJhOsc5DC0bZR9OkH7qJMTL88pN1ZgxKP4lqbWyb6rTR4RypiuM/E64K9mNtuR79w8MEbPL+MzomvI93bFC6SuXbDYGHXKFQU+6eXzZmvEL1WnusXzuViCzVv58+KVqpAolv2YyKIQOrE0RmoTYuF0lzWz3EOdXBfF9knuyaQWQu0x4QcpHozNFYpXki1iXqmUyn6sRUBp8BWo6bhY4lTRMAc4OfSFOsCTuJidxTbSRCmwbzfrZNwW0TuLSY7sMnE2OiExxL4c/tK07Fxk42cex17ES1zkjbsiJsvDeSPQ5MGTJ4d7dPRvl2aOSdA8ZprLqoiOAo2tBYExuDHhL6nSCrKVBgJNpokCx6+TroJKUcpPRbNYapMjdkWYJ9eJRoyS2IUsnu4H3/Nx2vJp2PJp2EhyZXO1PzHZ0Jy0kVQ8qlfWVpZEnsEGOU+mK7Gfiy8mnr048GJ75s9u3nA/b/hX4w+YTEs62UoLmRRu2z0YqDYxwvPLKZMaR9xJwugvqV4DSQq78XZp4mQnk475Oq+KXDkrTCxTTJ1IDTxpOtb95oxYYuWlYZZah/EK1V/tie4+YDIMzzzz9uk5IbDhBYFWCpjYQtC3ji2YArn1kkP4k+Qcs9oElimQP0H/YaHTZGtWdnowb+TPzXmhoMTeahKdMNHKdKWBSSGQpak2Do7hpsWaTO9m7tozzuRKN3mYZAJ61ciHOY4dx2NPunjs0WGDiKeZsMTzYttkEhXOXUTVSsOyNhas2A3GBvqHRHuvjSn1l8cWWHWJSSI4WeOdy0w3tjZz0Inbzy8vOMSeMXltunacQsvDtOH82JMvju5BbFpMlAaJncWr1ORFjXbeS/wusb+4LGSbaa8mvvP8npv2wne291LkTh3eJT7sW+bYYOdCk2Bp0NhljZhoqzVVgU03p0TYaE4TVXDTZuat/N2s9K6wy/ByxFmxKcvRQBCIpImG5vD03Csx1U1Z/J/nxcvJRhFwGp9lpueR288fORw3uH+/wQ8Cz09dpn0wbN5mwhbOr5d1arMh30Vev77nw/0efrGt8Tg7iE3i9vrMp8ct5m2LHaF5FMj++MPIP/riDX/1m8/of9qQLZy+k3VCnMCCvQjkfdmvWShOsexTFOmok/A2Y5wUuk0n+dlPH18CIk4WouXDacvDpedmM/Bfvvgth9DxP/3mO0znhnY7c/X6QtcEmRwOPcPHHntxhMMGLgZ3lzn9FwN3d0f+7z/+F7Qm8N/+5v9GcxSkYOrkfEWF8jbvZI/Me1lvbhBKZSz28wXyHbRwb7NSL/KTjpoJhvM3e8hwiAZspvvszGe3j7w77Dl92AotLMu9bx8M3b0Uy6Ur8IQipQhRaYIIuix5CLcRmgRWJrHWJTaNIhSTJThL8+pEznB+s6O7F5vTuI/QJvqfd2zeLgVm7ASWLYW3lXuhDRU7izUWBo7fg/Bixj56mkdL3MOXdw9s/MzHy5YxeOyDZ/s7afhMs5GcZpbGR3PvSMee/r2le0jE8T9XkZsSZXxSJ6o519J+DecQbqyI8IivqanKl7KBqQeUCeBWPKunU6enlyCwz1LcLnCu1CrZPxRhCSOfeDWJqHLtmryWa45aLIVtxqrRvDNZCO4YQpYiYEqeKXkV+JCEY548We0BqpVALgWNJpgKeTHrr638Yut9zEh3v8kKa5Pf151vWKCTkizqZypwyvJsQMQkdMI1Z8eb+YZz6vjV+Ix3457HoVttiuXal5tNnahnb2XSpXDBcvgXe4PsM30/s+snnm3OTNHxOHSkaDFNFv5TFng2WZKCAtlKLM/jybPWSU3l/9hS2JrKpUkt1esOnyXIlELUlUKG2jQpHfSsDZhUpPPXyX/hjTork/eYn9xbKRhMTUYKZLH+f51SUqdrdW2uJ7NhBePXJLfYWQC1CNMdp9MrQ8JiS0Fcp1UylUSLb1NgN6uivCiI4jPWiRhAEZRy+nspcC+x4RRageuPnjQ4VTKlQjOrR/Ysk0I362ePy30qXrGLII/e2z/wegJjFjUV4ew57cZ7SSZKoVGngsEQgtgiPcw9jY1ELA/zhtPccZ4bUrCsBaQKzUISFlOLC5TDVYqotcc2Nkvg30xs25nWRimgbSK6LHL5RbwpL+viCSdSOdoFdYEiMsj6Wa18vtApB3enPrAbiU/ZiScrUDnQJhhylM1atQ3KXtZOgNAzMqTVeMUrXHkltlWaFOXPpbMuf5bEy5Jlva2eV9kT9V4Z6oT/CVRdj5B6O+p1Lu9VeW+lg66JQ31GXibkVUOgXTioFQbYSGHofML7JH7O2dD7WWCd0XGaJFGaJkHj5MlhxpXoC0uRvjQtswiyVAGg8hnyCoK9PO9STC6CQWVtWZ5aaUGysn9lmk9FdrhR72tnRTEzWUIS1EIRXDnNMokW+PxKFKTE8LLe9BwxyVTaS/l5ZaKW2kzTB15sz1y1A42JdDbSdbPAv21T14ktRRHIvlF0EchnLkrBRQ8xuWWPpdZqDFYFaHVVCPskZ1+znIlFEOUJtN3quV9ETvTvaDw5fmuSq+u/WOGZTJ0wFz2Fes8MONV3KI1Haaau7ivLdZgEhG/9/fqVF+6l/NHUaxUkBhUBUiDtq3+MUZSVNNyWxm4RhYk9+EZ4qnLbLc5EcZAgq94CjHpPgtobEmQiVRTY1434J6G40M7igrKqQmOm5DAZl40WwSKOVoQm5d8l7Gyx7XJGZMsTASajQl4FsXCYn0KuUzZMSp8pk04TlzOpnrelgaMiS+6yfK3QurLCPktcKJoUMRtaG/EuUuhWNXdYoZX0scqa1OXuh9IILOvSVHRB0PeYd+KbOl9n5psIfWK/GzEmczl3JKPJfpQ1Egs6eN08LYjIJDSS8pq32hQ5CrrycOqJoyN1mWBU6VvXUR06oevOIQJe0fBw2jAPnjbp2nWCVmO2PBx74qmh0TMi7CW/z8nwzeGKNDop+LLEhiLcJvd/mTpWIbyy72o9wcKoyUbiqgHnRGzq/XFX/hnOJTofab1QNQ6h4xxayd/bRN/NXPUj22biWXfGknnnb2SiXag9EfJkOZ57/sX9j2W9HG1VQM/DkldnbcyaggjQtVDcDpCOM3YwUiT3WZSqg6F/53Bj4SBLfMtafGLBuETbBLUCM4uatq7rsAWMrF13kWcSWyTnxWAbycUK2khoIBlW/FwyNedL2VS0aqUtNJnpRp91MjDZ2vArdJC1Dkd7ENRE7EzNS+arVeE2W3KTmW8SeSsLJuhQZZh9LeDzqt4rQ51C74utNADTOj//T7z+eOGpaa6qu2aONJekxWOuiVI2CDf2EgV2luwCVfFUE/HScQeVZ9fFD1J8hI3+zDXPC/ngcyMLsH2Uwyg2hrGTyUP3KSgMSsRrZHJEnYaUxGgt9DPeZcKzgOkiu+1I4yKdikpN0fF+3IlqYRDo4xQdKVmGc0s6NdiL1Q6bqbysIjEuUC4pvEpQecJ1rYWQbPqw82SzwBjdGPFHuWlx6yUpae3S8XfL4VcPlcL5jKZOuO7thr9+eM3D2HMcOi6nlnT2tBeBU4ko1FP4XVl4sdVib9Ycfc70HxOxNQwvjDQet4E/efGB2/bCj3bv+DDt+c39LWFycJs4tJbd14arX8uGm6/FRgKHwEFK4bE6XWNra8A0GaIXUYlUCmQL040YnGNkA+ttk4Oyt2K0XiYyeeHoFoEKN/2BKWGSSSJJYIbuHMCZqpBowxI0QJJ/r8IhsVdLAf2aDRmvGihWi8A6XE3SWRa4WnmWOsVwkHZyMAhETIuYxokojRfxCTcWPqlTpUqzaqDYyj3NVqbd8Tpg+kjbyvpunPKbjKgTj8lzP204ho43hz3DpWW+78QWqPAsQpmGUqe1VShLC3WTBcpdUB1roSxRvfxWcMlZJpxaAOIMsfdKPyhJomG8siLYosUfgBmkCfXNQbiVb/2Vwn4EtjQorM1ehCOYGuCi08EsRYVM/z0mCkUgNSpUo750yQlXfXM18qNnH/BWfHkBmiYS20hqGmKnh80sU2vhnqeaDIrSqwo9FZGpDvCW2DtRaOwN043Eq+F5Ju5EFOX6WqAvRUV3HBqBHF08ZrSkoXSkluLRKscqdQbmiTwsZPG86WXq5ctEUSc1q65ptqtJY1TopF0SrmLzYrNwsIAqYlenQUGLBmvEPccg+16/JmtI91NpfHnIpZlkUVV3Q/JSsBSecmwN4400BmIvcXC+zszXibyLPLu60GkSlLLh8+0jL9ojf314zb//+jPSbEXwIhrcQYRmspVppptET8FORVxR/1/1KKKeX35c1jpaENghPFnjBbmAMSLKY4xqEiRS5wQt40y1GImt3AN/BDsa5ivDoEi/KTpisgxatNyPG94/7pgnL4JwSpspEOLsDGk1EY2KOont0jQKqgw6X2XiTeS7L+7537z4BTFbxuRpbOTzqwMP7cy7dx12MjTHzOZDqkVFagxsPal12CnihgBzxB8BJ2JDcaMenurjOV0XwRJpTEyvA7evD3iX6HwgI36Q8+QJjy3+UbqhpbAdb8tzkZwgtoa4a0nN0syZ914QVlPAjQ4/JGJrOb0WISdbERC5Fqz+UhLvMhW0THt0LS5nY6UkFVEpuypESrNLY854J2dRpTQUccDzUjzGVgtgLSD9IHsyOYGfp07QSEmhrqlLmF3g9dWpTmhOoeWqGdj5kVkTnZAtj3MvSWYQb2F3tmzeGdYDh3LtpVlkZ/BxmR76QZLaebM0AE2C7hBxg+ieuMMA1z3jswZyppsS7jxRLHzKK2wsl5cyZTVRplUTlnglw4Pfnm44ho7X/YFrfyEhUP3T1GAGhzsLMqdqNJR8qwhmxlwLcBNhurYcvqtilfuI2UaMkcm2NZn7WZLOzgeugbdGm1CGxVrqpDoBSs3LKtRpYmb3uxkyjM8845VbUC0Oxo3kMuOLTNglus/O/KNX72htYOsnhtjw048vOA8tEy1ulJ85vg6QoLl3YlWlaw7AXmbSONX7efzScP0xc/3rxPmF5XzcYrvM+CLqJNViZ8O8ow5FjBafcRvJm4gZHNOnvdrKKCpEbXTco8O83dGrt3nsM/OfntltR8bfXXH4y+c4B8OriDtb9r8SFEl3SLhL4vLCc/68uAPID6+II1VwLk3V1MhzzYpM6ZrA8dwR3m3AQvfqzNV24MX2xIv+yMdxx998eEnOhv1mxO0ufLF/4IvNIy/bAz/u3/DT4TW//HDHmHrSxZKKKOybBt40/A9//U8wwXD1HtpjJo5CbYqt8OGzlzgVe1H87T8KHH28NYuA2mzp31n2XyeO37HwvYnw2PL5fz/QffWeN/+nL7n/x5D7xP7liV038ad3b9m4mV+f7ngce2LUhnwEO8pkZvj+hN8E8tcbrr6SuDm+njFdIqgnd/+bhv79oqljoiFsAjfXZ9GbCJamCaLAj/D4jclcgmOaPM3ViL27MI0N9k2Hm8TWat5B2ibYz+SLZ/NrT3OG618Guvcjsdty/kFibjOPnfLgJ0P73jF9OfG9Lz9IHI6O89xwf9gQRo/NMG9lHaVO9pq/FGh8gpuZ0TaY6EiX/0xFrsAK5aAuHK4Cac1lfGhQSJsWHAltDZZpYVnYpqoll+5brea18CmvNW+m8mJWDYPS0SwJWZn61cQy59otKIfHelqcfcb0Ed9I0t96gbb1WpEX3mL5/6wdv5y0gIos2Pi8dKUWawxJ/K1OVKqScOk6pqV1WidHRQgm2eU6rXTfy9dzPVBXnZbV4UoUTuwQPW1s+DRsOJx7ptGTzpIQ2WieFJfrZ1fB94YKS6piPWF59oDYW5hEs+K2hmDJCr1JxTj6D0zx1s/39zr1OonNpdtYlAiddBDTNtFt5rXTjPpYSvMllwaMYZm0a5ErCnJlUr66rmr7IVDawoM2dtXiXiewxSYBTZSyWdaBWSZjFXmgz2hdNKRGkvky1VrWgFo25fK8ZTpN0kdR4XQ6yf32fV2vcws0glZonIiSdS7Qu1mFpwJj8lVyP0ZLSrau7bXSa00q5mU6UnlaenOWCa7cT1lnZb1/656vX2odlLWQqUiFIr7UPF2LFFukyevAxjAnKzzLsSHOypkvvYmyrHX6nnW6JBPV5Weu16E8XEF59H6WKYlJWJMo1FZW67gUhpVvrN8kyIiSICpvB1E5L7B8KQBUZGqbyLvAbj/yYn+SaYNO8h4QA/tJYW5iHaFrLCvUKaKoB7NME8trJXy0CMAtyX4RoyvPXPhseZmwonGOp406CXI8ie/SpNTYn+RZJLM0n+qaX1+iqW9VGyfruL4k5KZOt8qkK/uM8QLN2vhZmjkmsXMTd/7M1k/LteovEVQz4jGoHeaKvFnpUBhtONGgMXoFBc6rGPqt250LL7QorteJ0Go9uIJeWd672uRkyAnmaJmSw8WGlC1D8ITZkyZXp1tFhOSJMrv+6PJzeHKOFE5hBptpbWRrJ4bUcFHorytiP+V8K5SK1bqqCKq4gmuXr2lju0KxC91F6Sapzbhd4NnuLGeJi4RkGTqPtZlwalafQe+H2p1Uaw7dX+u9WNavUb6wCUBTBKNEUX7deJQCSde7Qm4LFQtjSKqtUJdpRBsWyz4xiSrQVqC6sVn2whOe7zq/ccuaqBcOdc2sm0epTdBHmi6wUT6fCDJFGpMqQgeo4lMyKbIUgTKjMNyK+tGlvdBkqPlBuTeyMJ/eXmmspxpjTHmfemOf/oM6tCgT1WjqzxLrQxH9NCaz9yMbNzFGX4UEzWpPkJdnJu+RV2hCeTaCKFpN7jWeC2VH4NGhyouXi/zWH3UN2ZAXFBGlybc0A4sYUcnHkg5tRDlYmm83O4FHWzLeRk6ho2sC4+xlTVsUySf3W+JcFjHEcl0pUTy3gQUef0n4wcoEG8NsEYEuazU3znV9Ff4rBrGTUuRIVchf3Qujk/+yLlIG7yObduYxy4SRTa6N9dIUcZdEcw5Ms6uL3eheqqKE30JBfBvh48oAY4WycTaxb0ZetsKlLhPJzotHbu8CVt+4KIw7l0DFsUTYTnV0wuKzbEMmFhFXFZwq15EavS8jNX6Xs6es3TIFrpz0DG4I5MNRNSokP7RGLOGu/ci1v/DGXkssMwJtr/kW4PrIfjfw2PS6xg24jHHacCnieLmcxfLzi12SswnbSkwtL2tkHeRy/hlofCQES9LYkFVlObuM85loc0VD1nVnja7TTNos68SNQnN61p8IWZB2IUnxVq5L4rXEAJKgCSwGHFifiY0UwGsA2n/q9ccXuVEjN2DPE+1H4YaGnX+yEOyc6sFdlV71MwlEM1WuWg2sZSpZFvCATrgUkqYCR4XoXTgYYbME3NAbxrumFuAmS+KYWvk5xXqoKAiHrU53HQI57gJfXD9y2174x/tveOaP/GZ6xpvxmsZGNnbiMWz4N+++JASHaxJxH8hTiz+zJNFWoCvtY1I1P+n0+ctyTbGTLpc/zvLZO/f0sCuqrs6SjZLI9fAOG7VBWE2nC2Qv7FBiOvgHR5wMv9rc0bcz95925JNXHL8Rz7SSlyr30MRMc4gKAbdPE0pHVbkNvcIoO01Qzp6/ff8C5xL/1n3OODdM77bSbdVpkp2kqy7JhkLU0eev3b21kEjoxVy68IxjJ1P31CXsi5HNZuKL/Ykvdw80NrJzE3O2/PL4jOPU8U24IZ+dBDWoHSaTYd7KGmiOiCjMsNpFxpC1Q2q6djXJEm5u7D25kSm7vQQpWhRmZMeMz6nC1QVivXRNy/rIRrk7h7jYCWinu3J/jSbALteCQHwkxXtRoPkOk7Ly+6hQuDpNXiUr2IxtI5vtyJ8+f8eVH3ndPXLlBu78iVt34j7u2PuRd9MV33TXIl7WepkEopPwTLWC8kPCriZ/4hcoibDAyi05qwWJFrgmI02B2khAVAMbtRPRqXTq7CI0phOntX1OgfOYCMyG8dQyT56zFTj2PHjyyWNHWw3tqwicQZoCdbqs+6vaFAksdH3/TDRMo+fNWSbF1+3AlKRDmmZLo+8v9lSSaKVO7L4WLlfZS1qUeqOWT8IdK5Ot+Vr4TP3nJ15cnfhs98h3N58qvPwSG/7txy95HDpCcESFBsUirBezhOrWkKNOiLoOkydQSJOZZkwawRhc43BbtfnQBK0USWVP2pBxR9kD07UXPYEx1yZeXnIYsl2g+AXeno0oykuSJV9LrcKhVFQLhNdYppB+SDVxLXEhW3CTqrNvHXafwRqBBHpNDg34NvCTm3c8a0/c+TO9nblxZ64k+2P4UviK33y6Zh49UW2C7GRoLpKouEHVwddwSE2eXeEeD4KoqIJOWRJ+k4EgKsKpdcTbpu6RjBHrk+oVKnEiqpp27NBJv3zm1ELaRGgyh1PPWcVxcobp3MKjx80Gr1C75ixwwSL4VdFQ68I7yX3M1tai0Z8NGM/XDzf85fZz2fMmcwot7887TkNL+2Blghu0OVd5o8pZdoa09ZiNVwSJIErKOpczo9iKqE3Ry4l+N/GPX/+O/8Ozv+UhbvjF+QWX2BCz5TIHptEzR0OaDD7ZJTHO8txLBHcPF/KwWAj1by/46GAOOG+xs6dJooWRvGG4tUzXYgnSHoKstyIO1whqyivaLLtMPBZ4vOxnEUSTNV6alvJvDVHjU2pEzEX2lCq2jlSEQOF3lnOiOSsCRlXOyZnmKA2P1MhQIQK+U5vA9sJNM/BP9r/lmT9yH7eco6yR551nzpZzaCVezQ5zFMeDsNN1XZpYOtW254xfCa1VlIXSq4q9oCvc2tYwX3tSZ3FbL36aqokyPmswsSFsLaGXmNE+RtyU6d9n4qlwVOVnmLMjTpb34YqPPnO/33DV33KaGi5jy3BqaR+tqJtHiVVugv5TpFDAcmk+hcy8t2p5qHaGM8SNIybDZKTwcTbzOPekbHgce6Yo026caE30H0WzoJxrpWEZW1O1XsYbud+FXz7vDfNVrnaZuUu8/OKeV7sjX27v+aK7J2bLObUE69i3EzFZ4nPLtGnJg8PdL7DOWKGi+syGCbOa5Lb3kiMPzxyh11g1QfPJUdwwMJnmaNl9kzXHQxXNxVXEZMnrbABmsMnQPEJ2gqCZ9yIa1t5LnBx+tuddt8OiQlfB4B8sbpT3ma7krMjGV260CdA+yHNoTnJfx1vDeLem4VFFz6ZrizGZ3Wbi/IV81k03YU3mz69+x//l+t/w8+kV/7L/UW1UJAx//fCKv3j3GfPshVaYpaC3bSTeQNxZ/KOj/SSol+aYwcLDTyC8nOh+3XL9c8izoHpiA+OLRNok4gcnuV0jiIpsUXtUgZgfv5D1xq82tAHe/rM9/s//jOzg+mcwvGh4zFcc+i2HQRocZbiw7Sf86yTx7r7Tqa7hdGnJTWZ4YYltxpw8+ayIBqWOzPsSW6TL5L7p+HTyPPvuPf/VS+Esv7vsydnQukiyicF7YrBMjx3p447S88seug+G5mQQD2Ev0+xeeLhv/5eebL3wcXvRPDEXEeD1J7Ebu1w8D9OG5/2Jf3b7K86p5f+bf8Snw5bwvqU5yv2yz0ahfT13hAwkI+9XKGZ/z9cfX+Supy/TjDu7Ksu/TqoBapeyQBP0ZcMCzXEKzawcU03+TBJxg+SkEC3CDmJnsRzcxXuscFyLj6QNhmbSgKfJsfCbSlfbUCYHsdUnGgWjftteeN098mf9N7z0j8xZ1In3buRV+8j7+QpjviAlg3UJYxPBNtKhSTpFMFrMD5HsBJZrMSI8k3KFppEzdoqkpkCwSoYo11iuu0IQNUkpPLSiOF0mnNmJynHs5TAUD1uBVYfZkU8ef1y6lSVY1mGGQo/sGJ9wE8s3LUnYMjGpdizBcDmqjHA25NniDwrjnpbJQuxMhbbWrMTof1atwyrNXgppLabjLkKX+OzZI9+5uudVd+BVe2BrJ174R4bckrLljbvibbMn1OmEFowqoBNbJFi1ThLSVUcUIIcAUQXAomQBpTtdro+EKKZaoBEsoZ0TGLvq+BqFY5uFd5ylK2/nLKJDydUkQhY2ix2XWRo/hRpgLBhteKTGikCZ7rPFCkpv7SqpzRaszWzamS/7e679wOftPdf2wq07c2Uv9GZmTJJYdj5w8Q2jFxsMMy8NpVL42UlguQVCakOW9ZMhO08qkwqd0tnMEkPqdCyTzcK/Db2rBWDhwsXu6bRuDW+XCZeBSTqQco8s+SzrXZQol+5mvR+r9yj3P2nSWm2E8uqbcyZGy2lqyY1h6ydCsqQknUkTdW3Hsrek+QBL0SOF/6oBaEVcKnYwXxmm60wuHf8u8eLqxA+uP/C6O/B5+6D8yJlj7Pmqe84QvBwORhU61b4h6wylIBmSA+O0MiuvGDFZYAZmjmJHRimuDIanUzoTkoidWIPdSFxzozQ1pCmxTCPXa6RM8TFUFfcSy2YMaKMx9Ggz0sAo/6agA568DHqQK2xfmxFl2lHWqPeJz/sHXjePvG7u2dkRR6YxgaH9wMP1hvfjnodLzzEZ5iZJMpcXAcHiy7ueOC9TaRWUU9uctYDUwtOV+JE3DbF3MlGaUl0bxc96rdgr0y3lKpYJgs/QSOc+zo44Iz6myWAuDn8WD9uyzu2kKItS2JYeQZ0el32z/B0gMGcHw9DwftjjbaJ3ok56mRrGsWFzUWi67m1RQlW4tjd1Qhy1wT1vFIKtApOpW1RGo6ryX99ceHV15J9cf8P/evNzfhWe8X7eY03mrGrBbRcIvSdnV47EZSK6WtZmmDArWL45XjAIdNYUj+qYpZGuRW7olf5UhPEKKsEKH8xNCRvk87ii9p+NTCF1zxeof3YoH3SxTSrnpXGQRgXErdAPVQDZQKHXFJpT+WzCfc5PFFWd+uP2LrDzI99v3/OZv+er+SVvVItj50eCKi0n5fwVfYXYrvcpykGXJlN7SBQqTT33nK7vILG/OUn8GLqW0Bmy/ZZHO9LcyFbt/rryIaUILerfkudpM20y5GDIqSG6zAFRWw7BSR5z8eLBOVAHIyaCP0WB4fcac3XSW2DxBTklOY7E4tSLaOEUhN+esuEye7GdUx0Zk6A5iSXYGiUoz80s4pvFQ1zzqrCRJk5uE+56pu1mfnz7nj/ZvefKDYKUyCKq5W2ksZHeB/J2ZGwDx/st7p08/LjNC1KvTnWi/NJXc8nQyOCnUAFNolIw4kZyZDdC9yB0wtAbbKdQ/7kIHQk3t0zsnPKDw06malmpecxSBKXGMN0J/9SdrEBOgxbmnVEqApXv75IR54URuseEGxLz3otvsV0+np2NyOsnQVv07UzfLkJbBvi8ueefNpkr8zVDbjiljnNqOceO/2n+ksOnLeboaT8pzemzCd8FzAZyjqSLxapQlJvkOYYXMz/+3lt+dvgCssJvZ1lraZPw1xNh6PFHHcAUxJIqYKdGikARLZV7d/5c9vLu17B7K5So6VaGUI95i2sTm+3Ipp3F9rObOPqWT6eG4pcegwgszjutn0YDScTJnHqFR32WZihDFIPJDvs9+NPdG74eb/kw7IjZyHQ3FyRLxoyW/p3E7/GZrPXmBP2HpPSrzLS3PP7AEvvM9DLg9qE23rPqnpgg02w7gpkMY/B4k/iz/huG3PDv+i84jS1Rm2pk2Gwm+ibgVGzm4+OW+dT+Pq3t73j98UUuQAjkmDCNF6EMwJ1mrLOk3tViNyO/l8ATto5sFGqZhePpzxJExxtHatSXdRCOj/jGqcWABXv8/UtZH86FeyH+uovITRF/KkIHyaunqyYQbjKEfcJuA7vNyJebe143j+zsSEvkH/e/4bvtB6bsOMQNo2u46QfpAgZPCI65Edy6m0TkwIYsAf95Uyfc9XqidD+tBpS4a6QoKYdC2eAKB7YxVy/X2hHfCPylWgcVuLaXz1MOwMpdPXpmKz6hxZ81azAWzo9MI6wGpvF5ITuur335OYvwj9ojYACZJmFF8KUm/LOp3E2n8G0TwKr0/Xzl6yG6LtCyEw5T2KiwlCZD/nqi30z82e1bfrR9h1PIaGdnrt2AS5mdH9n7lk0/87gPMFnc0S3wJlO66GJ/kTYNybTLWppnjO3AewoOuiatCtWvyX+B1ioM0SrPrkCoRGRj6dIDWsxJMpFVYdXNgFmEpyJAga6VgjVpN7nAXnW9GGvq/UyNBPMie1/FShpUiEcg+cUPtzWBxkRu7Zkv/IVbO7KzIzfujp9evcTbxDg0hGkREll/toLIKEV9hSenjBvi4nMKVD7iyjNTfGTTCq6pzZS2QBpNTSCkKbXcD7kWfT4RzEXRENqK9Ber0vuK/giSOFZ4lEJGC0+4cK4rd1abYTZIsDfJMrqOd7PF+sRvm2tSdKRP7eIjqd1+magu4mRp42ojIilqYt7JgThdi6BaaVDlLmPvRrpu5tX2wLP2zI2/0NmZOTs+hR2H2GPJ9D7gfSI06QkEKCnn1Zb7ZGDBVZdYHqG35MaTlf9vnJjWZ7Mu1EqRJxPJEp/8RfhpNmRoLVEVQ/yQlrhR4/NyDcmx+AlrQzAnEYHMWjCtp8LL9Rd0C1oYO0JJaFPGD4JQKbYN1ubaFHjujlzZgaSL55U/MPRvuXIDX+9vRE11dsxANk4SiBJDNRCWhDd5U8+vSr/RaWyBVaPx3hlDToncqsCTW/a4FLOLAF4VftJueRHkKZ/dnJ1MXUshr9BkOyg3cTZ1Olhgtm5Sxd5iEZVZKDK23H/Zu0l52SSIDy0/NS/rfQzBkT512ItRJwKdXKotXPIGvCpG62cq6It5J8ngdCWNygrj7DM8H+m6wI+eved7u0/8sHtHbwK39syX3SeOvidkizU91q7WeFnn6i8ukFdt+nonompl+Ww7khdP4bhpavO2TM1NXCZKZC3Et06e5Qp2XpA5yxkt69ZNJS4vBWGJMUUV3SREKTdTha+MqpMXNINJOiEtuYrGwdBJfCh6FKnT2NUmrncDu3YS+7Qs1m8Ry6070ZjAnD3f7xxT9ryfr3iIG355c8fHsyddnFznLLHriePDUCD4y+12ozYydD0ChF7us8lqFzeJkr6g02S/l2JXuNeS6NggueJ4J2i08VamnSVJNlmQKAZDPDScT6LeZGaLL7oaVu5vajNuMExH/2TQUpAhQmOTvytN06yUBEbLGHqmTayCPKdzJ0r8nxraR4s/6T51xeVhyX+SxqnkRdU4NUuxUxqVZhO4uT5x3Y/82f4NP+7fcOtOXNmB34Ub/s38fVI2POvO7JuR3x5vuEwNtknMdxJLi3dxPpcOIrLGw0JRSk41y7KsqflKm8gFsnoxOKUNTntbCwgbMvtfG+LvHNONoIiy0X+fFhVvsTlUrq7GrvG5nFlpGzF9JM2LqnmJ+bETdGGZQmcja9lGmG4cJsm53b+XGHH5wQwm0/9GJn1DEk/ZhBRMzibuujNbP7O1Ix/TxLu057fTHefU8hh6LlGF+IDcJaY7Kd6NzaRkiaOD2dBclnPbKuXAv2v4mXtJ99Hh5iQopJM0AM0vPKnxNR82UfZ1djC8TOQ+yMAsGNwgHrUmS+MGYLyD+cqJDtDLCZLBfWgw0XB6bcnXRplylnl2MEuBi8kivpWkuI1dFs9hlwm3Qinzj5b20RC8CJyZLPm9Hwzvf3fN/2f3Ex7Hng+HHcZk7vZnGps4nzvCQ4sBzt9J2NHQv5ezJDk4vxIee9zIUHC+DRJ/oiF9asmbiN3OWEW2pp3h+EJzsD7wcOn56/kl/935f481mTk6dt3E4cXMMTWE28h1E2j94nDSNJHUR9LR0z4Y0mJ7/p98/YMUuXmeydOM2fayo2LGnQTyNvsduXNygCrx3w1RuqGazAvsQqaM7WGSTqrCK/wl0z4EKezGSOw99saRvMjXuzELhHVvascTWJKlKInHevpgZ4XtaYd93jntdKGLD3Cw2U682J75YfeOZ/7I1o70JvAnzcBzO/N1PPM/Dl8w5IaX/RFL5tOw4ZwNtEmk4I2hvZdgH3uBDthJhbUKXytlvEJjU2OZd147qEpy0ESwdFOL7Ur2hkknWvNWYR8a0Au/NHmBkvhZDo4S5JpHV2GdJhnlekhS5E+lAy3BLnnD5ZmjiGeZRPV+lCRsma4JbLBMDgzpbASas8sLNFg7ZGsYpw06/QOG54bxWpM+neQH9S+ebgSymbYJdzXTt4GX10euu4F/fvNz/kn3G74Od7yZb9nZkSt7oTGBG3/h0jTcbS9Ms2d46PAXJ8HZQrZ5pSqZiRtPNKvgPEyw7aBtapELqICQkWmAFmmVB1uKtjmBet6Wf1sQBPX91ZtVeFqyLwq8tYqWoAexLZ3jvHB4S5Ggaz8b8HPCTIm48ZLkoYlS4TGrB2HTRFoX6WygsVLgNibw0l34nt8z5pmX7pGX7sTP9q/ZuJmP5w2Hi0dUU009rKpapTcCKx2XKQkpYaeIiGJ5UufBoqq4QiEQSGtaCuEyAdICd96JvHzSA/XbUKaF64kk+2NpyEgy6UZTJ3L+vNw/o4VtNqr4XkSxrCFT1mJBf0CeM81BD7lgCee23neboVEfyeaAinNlESNJQlGQrr4Ij9QmRgeXFyokcyUm8oWD5baBL54/cN0NfH/7kefNiSs30Bspct9OV1xSK80dF2h8ZPKZqPDAbFkg+sn8QY9cgDwF8t5Vf2J7CRhnsXFl22S0ETFr4toKbM3OSQXr0irxlXXnj7FCFStKxxc1ZGkUVZVTo42BelGrPaAJW/2SoiEKJJZuaeTJxEIt7faylpxN9HZmZ0ee2zPP3MyQDXO2NCZyZS+88tf89upWpvLR8ug2BFqao5dmmPJuQSxeUjKYRvlmp4CJYjlV1J4rGgdZYzgRmIqdE+GnEn+NCOvJhMsuoogKFxdPWIlVhYPpj1YhhvLvC0JGYPilmZNXfFw5M5vHIgpgluvSBgZmKbacrncbjUAcD+LTGJG/33ySPdacckVt+ItQWwR6TUUnxE4oGLEVz87UiCBN3gnKg2iw28BnLx646Qb+t89+zk+6N7x0j3QmcuvO/En7jkPqOQZBCLlSLZW60yDWHC6TlaMZOyPqymFJd+K2hb7X/GNBUUxXIhJoA7jDIriWGst4Leu8PaTaHMhmFW8ydY0354Q/RcLOMSl0tdi/jUYKVDdC86DXrP3Uwmku067i4b0uNqe9iI7FTryLC9oKhKf3ancUF4hsGKMnqlDBc3vipTvQktjawJwtXzfX3KctP7t9wWVsuTz0pHOjsSvjx8x4Y4lb+fmVj1ys7BSNUnQFkjPEjfDMbci4IPmeG6LYsDkn6q8ZjCLBhJuqzcwGhhdZEVpSDKaLxz9IkBdOIfiDwjFV8KgWS1Z9y7fixTmcLW6W50FechShuSl1qHhPe4mRIl5lCDvHwQlHNx0a7Gjp31vae9lTSQcK05VC7nu5fqs+8KlFBJ76BHM5lBOmSXTbme/ffOJlf+S/3n7FT5r33NrEjW35K/OOf80PSdnyef8AwKdxy8e0xTeB+Ew0EFIw5GjlnpYj7tvNHL1G2QdSrEqRKvfOX6hn5HSlPFT1st9/PeJOM/d/tufxh4a4zczXslf94JWmoc2+OqWF+eVMs59orDTDLoOjducVbRG2mXCVcBcp+jBUm7DYS2Ng97Xl+qtE8pZnnz3Q+sj9r1/TPmRIhrteHDtA3BN+uPvAq/bAzk68iS2/ne/47XjLKbY8TD1DbGqRa/qI3csEOCdDigYGsf1sjkIbLI2+nAybN4b50tO/p3pUF+rO1dcSD45fes6fGYzaUsXeMPxk4sXzI5epYZoc87HFBLGg8he578OLTLiRCejruwOfDluav5Fi/rFtGNTqMI9OJtijrc/b+URIUjulDnbPz2y7CWcTORve/PoOf26InSga28lw/TOx9ZluGv5D+5lo5IwWfGbXTzTtRDg2dO8c0/PE/gcPHO63bP+ypf8Y+fSnnuFVZn4eeP3lJ4zJhOgYg+P4q2vaT47pGbCdsS7irwNNE/lfff5rfrD5wL94/yN+8bsXHC9bHh7Eq/r2h594tT8yvXzkuOu56mY2zVzh2ikbOpXvHlJH9ymTz3+/ke4/DFzZe4wx0v23ColrVhBYLXCf8H+KR18xDdY/C0y2GI2vuym5ThwKidoGhTD7JcgXCe/YrpILLUiSM5JUNwVyCyBBQCBwS5JFEKXST92G/3D5nFfNgd12pHczp5TpzMicqYXUxs1VfdnaVLuadRqpfMECXSwHpKgr26UAoiTqq0kJcoBWeXeLKm5qcVkSfnGLWKZ1rQoYtct1LAUA2kHWgyPKvbEL8mMR7spPi4cyPaFAZTIV81+ERNYQVhuk029Wn9+OGkyLt55FihwjUM35SooSk7Tbu5NkOPaZ3GZRA+5mGh+JWUQiHuKGD3HPnD2dnYnZ8vV8xzl1fJq3nEJHUHsXnBxCtYnAam0axGN2XmA/ptz7ooha/oktozH4g2JVLM+1rnttrjwR/SmKtfrtOSn0skxynCauZVJfuriKRKhTOZamiHiZmqUw0F+VTxqEgz1cWo5N4DH0OJM4uQ5HYsiOMc+c08whZc4KWQbwNmF8Ijd5mQx7Uz2x614v+8AZDFb8hnU9myQJhNG9YUKSrDrLGq8c/iJM064aKmqTURP+MimJ0lRZ7reu87Ak/6UYXk8CK2TTyveSvU4PjdxLfXbVJoOleE2tIQ/LmhdFQE1Yx/ykiDaaaIHEqNCZWrCE3hD2YgMQryN2E6q8f9fPbJuJrZ/YuJmtG2lMwH1LncOajLNJYEc2SaHlJCko2agUAzo9dA7sKlarhZAko1YtqFbccIQ7ul7Xdd3GZf2XCWYpBmoTQZ+vybLHytTMmEWtODlTY1ZFmOTl+ZS4Lk0Oo8831xgqaxvQWFRhn9EwTp5fDs8ZUsOVvTDkAxFDxNISubUjcz6zcyO922BWUJrsIAf9bKVBqTz7IiSWGovxCwJhbbFWmqo8fWRLA0vPpqTczoJUKIic2AtsvQrQFPuNrMlmLnuARRguU+klBYqcvHDb6/4AikVNmdQXaKko6EshS1rgo1LgSHJl1TWgugPIQqwqzWW/RNUZEBi+rPO8D3S7SYTLkqHrZ266gdv2giMzZcecPQnDkBsOqec+brmklktVgtEYsIInP+EZl7W6jsOluM9ql6Fx2U25Wq0tKBvZo98WwikFPGhTxmQouYWh0hJKw8bpXnBjFgVXtaKqYnmGiuiouUtZ+6XRY8rz1iT3bBQuLN8+nz3vzztaF7nuBlEIjluulH5yTaAxCUdmwHCftrwL1wxxaehWetDq81lFe4VePOxNkHWSjX1K2fGGoGurKuiDFLh+uf+lEVrQG4vWyuo5JshTgeYmSfB1Ilqns2nJp8o5YFQoqU5qnVjpFMRCyUMkJ5JJrQOdDumUTO93OEon1R9czUmLyNR0Zet113Na88dsFYZtwdiM2UWszRibcC6z6SZStpUv6kzmnOEcJ+7TDQ4RCxuTr1ZGgLxHE8V4AE8yaj1T1oy18qssqZhFs0LzRDssU8TC2RTkBTVelEZA2CwTYjtDHgUhko0ijDpq89H6LE2LBszFMacOmoT1AsUJG1nznMvPgLyLAk8dy1CAiubIbSJsLdNOzoJxbmSSeZ04B0EHfvXwDG9FOKmx4gjRmMh93PIVL/gQ91gjLhHeJtocq9tGHhxpbGTtaS5lR1Galmcr02k3l/NM84biUuFlsCT3WJ+NNrULB1yoCMt57L0hqLhVMpm5ovIEFhy94zh0hNnhWlFtzjodxYBpk6j+l1rHJ/p2ZtDrJyHOF7NjHr0Ur9Ew3SXdF6YKXJU9Z6zmYJOFlLl/3HJsOvkzYGZBMeTBETYw3lgV5wJ84qYbmJLj3aVn0r2amkzeRl7eHWhsYt+OeJOI2fCryzM6F3hxd+Cx67lMW/CZl7sT393dVxG5bTuzb0fG6Pn64w1h9jRtECXoTWK68TWP+rte/yDCU2a7kwJ300p3HoSPCLLJQ8bGVAU4ShJerHzqVCzmOhVoD5HmbGiOAX+aSd6Sy6Rnkjfxl4w/R7KRSaxJguc3UR7GvF0lV94Sdraqbi6KnOi/E75vVMETNxrix453F8//a/pTbjYDV98d6HuZnLxLEYfjM/dIYwLP2hNj8ozBE5Pl6FMNssLLEL5POejkPqi9TBZObnLScWwOUaFk8gamFDAbR/SG2NiaAAUNYLEvvwTig0Ha7VlgDJJUKk4f+XuTqUIka26ZQLCWJKs5Z+Fb5ZonM2/leq0K2hiFJSWviUyZriWwg/IQSs2XoHtI9PexFjE0S1J0/swwvJSukxulaJmfB2gSRuElu/3A66sjc3QcxpaYLD89v2JMDXf+xEv/yJv5lr84/ZBT6Hg/7BhCI4bTNuO6yHwTJUCVQqiVIJDegz+MxDWHa7MR39FxxMSdrm2F62ojgFA4ukY5SvL8ciOCBKWxQ9aCrnxPzuSUNYsGExNYg50sOEPoXYU1+tEoPN3WpHjyplr2UJJaLcgSagWThS9YVJ2LUFt6sMx0fIyGr66ec99usGRG3/DOP3BjHzkky2/jDR/iXkVfDJt2ZthNXILsq2zV4stIF9TpBBc0AcDJszPU4t5EmYKTsvIYNRHVAlcsYGTaNe90XfVaHG4z811cCkvK+jUQl6S/fN1dVtzEwnlbNZj1KQNGuXTqLzikes/ks6xixiHrM1XeSSpNtlx/VnNJAvPT4iY7UwVPxmtL3JRkUj7T9HrGbSJfPn/g1fYgy8yI4uLOTXJANAeeuSPOZBxysFsj/petjQQrKtlDE0V5ubMU5dTiYV4aYXgnhW159S25b8idk5jbWJ68tPDJxpBbVdQfY23aCN/NkTqd4J6kUWQLP7U0xZLwUJ0WgyYZ/CB7I2wtY2Mqf6s030xY4gtmsYtqjyJ0VjirCwzRMN1osuDADpbxoedffvN9rvuRD892fNY+0tuZzs78qH3LP21nbuwjn7cPjMnzt+aliF1kEXYjFV6swcSEV2huoXzM1265T9qocpeoDV2NB0XZneUcKk3ZWRFF817pJ14mk9lC3CVJyHwGn2B0uIMTiPCxqJ2zNCW1R5daud6iQSFnhpd1OkOlChiF2Y6pFjcCvZP1XJpNtUmhtmFuzsqnW/Z88mrt1SyF97w3jM9knafPB5ou8J3bA8/6U13nWz/xujuwdRMRw5v5FkemNzMf455fjC95CBt+c77lMHXCI+siEUizWTVzvrVsv1Xkxs7hUsbMWS0QZbrePpYptK33IGxXkHs0nzDSaA69rNvuk1jFzHsvCCpnSNuSk0SN63JRXbuoupML8kDXe1/WfWl+lGeaa1FokgjieCuUiaph4iA1njf5DrsNTM8OjJ3nq+EFc3b8o+4bPmtOOL05Q3b81eVLfjvecD9sqhdnaZzIteQaz4RGJhPU5pwEgVAKS22cxk7su8iyNppjIOw8895SmuHZyB4OvTazNBaJ4Oci0uVODpMhXEX8ywth8tjfdrih6GhoQTvwhL/vTwZOVJu+2MGgTfPtW+HSChpO77Ui+LZvpYAZrwXa6c+GcG4UVo4WubJnpmvD6bncp8J9TG0ZDEiciy3gMtjMly/v+WL/IHZN2nWbkuMQOuYsf/7ZfMdX80vOqa1ewN+MN/9/3v6j15Yuze/EfstFxN77mGtfk67SFMkqsqrZQlOtFhpiAy2iNRCghgBBgPQdNOGMI4EjfgMBgobSQICGkiCxURBIiiTQZJOsbpJVLFZmpc/XXXPMNmGW0eB51oo4N7NKCaSgDVzce4/ZO2LFMo/5G06xY1QUgnOZXbeQsmF0Wahxu0CcNekMnrIpWLgZLs9hepEJR8PwblPszWu3vs7F1IlVncCtPW4Wj9vuEdIEdhbu5fLNmf4wCx86GZbZEW8dZjIMnzvc4pivhVJmAiwvEuksnXA3F9J14pNP3/PV+2tiVHVgRdVxs3C4mjilAyZ60q4wv9th+8TuO4/0f3lhfHvNmz9+RbpJfO2bb8X5RPfxH06v+Wq+IpjMwU+KUEtcUsDb5+Kx+85z+wOJAcZXEmMadUZJfeH0zXV9mgLuTNNjsLOgRy8f1TVnCWeJk3dvE/O15fSJJe60KGHE7sg7USmOe1HLttcLxhXKFwP9W0c8W06a8E8vFJLeZcrkcLvE7npkvHSUe4fJhmE38/Xbe+7v9hTncbMh/2IgJ7j9qaF7LLz9fXj1177i3f0BfrzHnaVKVr3Iuz4yzmKTZ5Kh3O9IqB251SLaT3aEgnSps2kJv+syf+X2C352fsaPfvwao7D5eJX5+NM7/tff+ud84u/5/f4zHnPgf/vj/5Lvf/mK//DrP+d/8d1/wb89f53/yv8O3iX+Jx//Eb83/JS/73+fP+QbXIeJb+zv+LPjS8q/v+Lw1vDwOwvPvvWO+cWFx9/ek09PNXP+vNdvnuSatXpUnAbzlbeCHi6/6nfgSSK3rda3ynwqIuJTLTeQn7GpiMpbsypRKGyFZKmxeLVnqe+/WiLwpFIr14IYIX9gAVRmy+XcY0zhXTxwlw7C+SQzGIG9jSW0SpvcXmkfWpP67YH1dCxYOaebjmCzxth0sOvYbCu+FSYs/y9kL1UwSXK17BsNJUvBu0StcGq2WgMi2FSMN/yw1inW4LQ9Ir3esgmqqlfkVpAFaPxe+T2teqX1+61C7W3rWhSvMCEE82/3EecTzsmmse8WDn7mQuBsZVM/RenYBpM42InHNPC4DJxjJwluEvXEosT65EqrcJFpYkgApPJEwAErFd5fms8VEVB5eJtO7rbC3cZXn2+7uc3fDfGQpGptapdqkZ22ZBRmbxpfbivK0IondV5p16yiI2TcZT6ZqMtW/TPT5HiYhKP2vhNI4tt0xQt35pwDj3nHOfdMObTqszFygD8Rx/kwJ1KxIoEpaWd5My6yrs0vj5eRsW1cvc3ftWJOn6USqZV3sqHU9bI8fU5GK/5b2kJde1s+GQXEVaKAA7dI1277/GpnvHauKr/cpJVj7ifdg5ZVVE/ftXXfq0BFhY6noRAOC8Nu5sXuzMt+VYO1JhOUZw6QseQCC44pB5bimv+l2BiV1gVOanMle6xp99DQI259aMXaJ/tNK9h8YDVU+dIUsDXB/dCOqCDFTS2cyVzX8dbAvdS9IxaqRYVUy83TvbLO7SLXvJ3TNWku2z241HVmWnBtFpkXp0tPypYvD9cAXLmJvZt58AOJO9lzMI2r++E11KRju8dRn6taTdU9diuwKA+utK6pXGchV955m9tm9TwNmuQ6KIMgUIyTeZ9V76AmJts99cPrqhSWon/nWhCi8MSar87Nzd7SPFz18Kkc3YqkqoWjpkjuVrExCfprAqRCgUNm2C0chpkXw4nXw7GN9c7N3PoLlkIulnPpeMwDb/OBu7TnPu54XAamqEJAeu2m7d16SJVqa1KT8qdzsz4/E7OIr22ej0HnS212V041T89v0fYQGpGdtVtSEWsaa9Ti1rp3qBDfbNo5XjuL+YP59OH8al9rn792dKXDLuJRZrZk57jMAWczD3Fg7w6cQs9SLAsyv2U/9y3pkjEsLV4pDhFa0jjK5HqWsBZS6x5CaYXUtYi/jbvMZn5JAtiSQieJYaWfZC/nRVu/RpMFW1psJm/OWsypMZ1jXQvUWMI07YiKBCnbmKzUWFRpU5rYgWyNJldl65rMy3WVNj/0SHDaxap/dwU7RHyXeDZceNWdyBiW7LikwN28E2s73bsf8443yzVLcUxZxKdSMc0Dvb5qDJOzbZ6xda3h7Qf7OYL68ErF0UJY3RPkftekJ1ekiFEEoF3HriHAsllBajZjsJKsWaH31GdSu6JSkFivsTV/sm2DVyljxSGdb1PAlSaMRbRkC8ElrvuZ97aIZdRsebgMGGDMYp92SYHHZaB3sdl8AngjHrDtzJlpGdCKBFvP423xxmfTvK9bbuMrykaELSvKQtajzgEgJomXNDVqRRDfJUJInF0vnwOyhxnRmmlrP1pyqg2vorZjQpOZkt/EP2vs3fRQlHtdyqqD0/KRAimthS1bu7ysa7DuM0BDyLV1Y8p6RhoE2elk8V/3Ey/dkWfuxGAKZ8SuLEWHpfDMiabIrlsEdWYymRq/yOdkxBrRTQZ3kdihxjUlCIrw13n9xklueXZNwSPsZ0Pa64YZ10StGEjWQlg3bpML7rQIZG0vKpMmy2HxJFGoHS/l5JolMyjfq/HDpkL/kNeHZwz9Y2K40+DH2/WBFfn56ptmsiQLcZCD3akYzVJ0cWdLKoHH0fGPrn6bHxxeieR+tgxOOrixOL4crxhT4LR0YqwebauIto3eVVPmTQKuB7CbpKlUlUNTsCQVcNjCwNyYwDjyjRX7nBdG/QTlwEyHTLiZ8D4TvHR4Hk8D6SwS/jlY5SHq4TzpInCQ6gakC6Aq4FGhd2jAUoTr5uYV/mOKQpuMwZ/KastSFMah+PkcFNbnYXzuqBy9Kp5VN1l3saRdJt1G3D7yzdfvue4mnnVnrlRZ05rMKfbNO/Fu3nE37/ixe0FnE3N2nGPHlDz3l4E5OrIq3wLYfZRA8SGsas9FN7slYuLawjPeY/peDrM+KBe3QDTSadp0LcvmkDEFgTjX4B4kkNrMawCW1AJ/snQ4bU3YsgRFJYjKsNPgastFrIWe1QNTq/7KNcudbGBVHROcVr4NNlqWJfBj+wo3RD67ueGqn/jJ9YsnQl7HNPCz8zPuph2PY88yCz6++stJoF5akIsRrr0cKLltisbWzpEESnYWjn7qpGNdO73NRqUGzVYEx5abQj4kDs8uGFOYJk/JgiAp2ZAvnjLqcH8QKGbtEAKbDV3mf+WJYwRaKeI5cqgL9K6KaslzdaNwh0MwFKs2LZeswecq7GOXTA5qfVQFhdT+Ku1gORTSbSTcTPxn3/kBr7tHeitQ5LRJtIK25u7jnvfxIH6lKXCKPV+MkrB1VpQNg810PpKzIXa6Hy12hSuBBoVPk1qCh5ix5xnT6V6eCu5xwpRCOnTKrZP7sUvG1XkO8jwrTz0XseIqPLHNqRDo2u11U1oTVqMKqVq4s8uaJLVkuBRsBqfoEhHkq0WDpwFs91DwZ+lKxR2ks2fOO+bQ86+mQN8vvL468fHukXPquLEjD3ng3x0/5Yvxmik6jMuUaAjH1VaiBrzZgylGlM/NGkA3f2ugGO2aTjIG1DWv8yNvOrjxIB3q6UUhPouYLtPtZ7zPXO9Ggs28eTwwnjuwomwqxQTReqj757Zw04Jxj3Q+R+UqexX9KdIRdEtpokYVbgdSsPGJRhOwqWj3qrSijpsybkqk3rEcXFtnxRnG1zrH94lyHen2C7/z0Re87M/87uEzvhbe8zZd8Wa5JpjErT+zFMefXV7zGAf+bRHbojEF3k97luQYoxdv4Fm8gEs00jUzyDxPiCr0JIgvlohZVi6Ov5+Vz1t0vxbrprQTVMrqc8xaIFD9EIvEDf37BX+/on2Kt6S9ULZskeKO+D0qBD3Ie7tZOj5xZ5ivLDbJvmyKdNJq4itWRDShMzfLWC97o7YgRRA50JTmTQZ3tuRoeEhXPPaSSP10eM74LHDKkr1lLKfcsxTHzi3c9CMxW+LiiAeP85AmnRujwnQbWmhtHgjFIIsP6zlRvCGcnMJ1LemjvtEOKp84d4bL67V4g9o3lk4q8XYfMa6QRg+zBVeYTh3MFq8xlRslTvOj2IulQUW4ggT22UgiPd9uRAazdGiXfZ2bNM46xagAquxl3aMUmGKUosT+y4QbM3HvxOrxKFl8o4YpnSBeZ8qQCPuFw37iP/z459yGi/hwu4mP/T3fCu/40fKK/+fb3yNmy0+XF1iT+ePL1/nBWeLL4yKc86swMbjYvI2nyXN6GCjJwqx2KkZUjJcrT7zqyBvO2XwjlQZ3sirCJte73Mgz3H8Ju89H3v/Onve/K+O6+1Ke63wte6qJ8v9KM8BA97OOUjrSleijmNkQTtqFfCUxhj/KnmkSRNVmOH1DaQFHy9s/eSmQ4ChzwXw84X1iGT3Ht3soMD9Pcv6OljJZ7t2e06UTHujrBXNxxD98xhe7wn/7H0+EF4kpB7xN/Oz0jB9/9ZwQEr//yWfchosk1qlyv0Xr5fK9Cdcn3B/v2X1ZGF8blmdZY1c51/dfFHZvRfXZXxJxJ4KtVhaT3Pczw+W1ZzkIzzb3mTJ63uUDw27mMMyULAi9EgqH3cTNMPHjqx3L2RI/nvn97/6cOTl++v4Z8xRIb3v80ZIuluPoMF1m941HjIHT+x0/+OyK7r0lnGC5gvhywfjC3Y3HaIz/9t+8xo3Qv1+1OHIH3YNh/vGBLoIbTTsjarGhWC207kUZzF7Eoi09i/hdZNjN/HfvvoY1hd/65htBjWkx5tP9PV/FG/5s+oj/0/kjTrFjyY6PXjyQMfyz43f5YrrBWdEO+IOvfpd/7H6bL8/X3F8GnM18frrm4TyQusJ8a8AWUfMfA+7Rtc7x/7fXb5zk5j6ImpsG5nWjsLXaVTsymszUqhkR4T2Os0DihhWq2bhdH/AbTRRokXjuIuI1wWoAUVrQX6wmYVNSYST7pOpfeYNSfQajEuvF0iwW0lLhhwZTJDH66nggZcuUHHN0DCHyrt83dbCMUfsQ2zbLJ521OgabxLB6ZVbecRW/Kc40+XmmNTG2qZBKrYhKgiuqylp58YW+F1WyZ7sRbzJLcpwXW5sa0tndYPOhVtL0mercaR0mNYGulVKywD9bgrvtlhtwy9pVqDynoKrZKa8iJBVVIwmyBPxZRV0qV8nvI7v9xKd78Sr+Wn/Hrbtwzh2PaSAYgaHM2XE/75ii52j61k2vz2ZJTpTpNhVR5/JaAfsA6iderduyvRFlZSeohTo/jbUCC9cgXggqH3SAclH7n02iWxPcOsezwbAmulLg1GQXKMmQm7KnKvQuQL9Wl7dWOHLzmuPVbkqSZBPlSlonXDun8zI+etJsuQMuQ8CrdPvOLdz4C8fU87j0nJfAsvg2z1tX3+pn1qp6S1zKGnQ75YRq4toEkFSlNDuj1eBNR2ETtOcAecjYIbJXX7xSDCkVfSRGuCHbj95uI5amot4qlGEzPvCkWCZVbXmDVVlUiySx4BaR0hez97IqkGpXyy4i0IT7FV1pr+iLIeOuFp5dX/hrVz/na+E9d+kgtk3aUawG9rlYjotYIpxizyl2nGPHcZag6Fmf8TZiTMFZUV+0rpBrl/WXkCRmRSOAIhayJGLWarcqi/diKZhdXbTyrKsftHlSSRA0QoPoZjBJ53a1IauFkDaupRXSage8dhq3kPSmQptR8ZvS9rGGiNF9iFJ1HVjXTYF0kmLDbHqWLuBMoXeRL9wNPxlecs4d7+cdD9NASpbama1FENGJqPOpbqqlJdf1syVwRvd3yEngXpa8dvfq3qkJeupkPqadzImui9weLvQu8Wp3xNvM49gz0slacxuec3229ZLqOqxJbu3eOHl2ucLBiwb6sKHz0LpiDaGgaAgbywrBRx+RWmxJJ27t4BarQkDPI6bPdLuFm8PI13YPfNLf893+Sz5xYoO1FNegySDInLfTgSl6puRZsmWOnqzrvBRDTlb0JDYIhbrmq/qroASyFBvrPJqW1sGtMPJa3JJEdD2bjSIQatIv42hw54h9+wDeUfaDvlc9x8FEKW6VIOOatHjgR00InWsIqO4occ9yJV3EUvUNcp3b63NYUN/SRYqEjQJmaWeZFK8dORruTztKMXw23PDCPwcgFbESysU0mkPnEj4kplDIiSddPKeoObeUts7a2tX16sYo1IMlU4JlfBHEjibVgpCIBqZe7NDyrqyFIF+gE52HYT/jXOaCJkfZiKLsYtcmSROv1GvyKxquXnPuhPftR4M5yrg87R6LJIFT4aWksYe/SGEnaVziZqFd+HNUSoQT2tlJ19BOzvXsoPQJv4vcXl94uT/x169/ygt3ZCkiAPat8I6/2gkNpbORmDuOaeCL5RlvlwN3854peh7mHmcKg1vo/OqXmpPYJYmCuqzdvIPSJbmvYJ/o4dSOdFV3xsi4xGuhaplicMeJ1O3Jr2fyo2f3pTScchARRDuhCA0aHaR/VJ4+MHtRDXYXKXgvtxlCoVy8CqkZ8izPOF1LkBLunNjtKAKRHobdTB8W3p2vMaOTOTFkymwlwQLSxbNkg/UZv4uks2P3pYg8vbvsOaa+IZqOc8dyN7CEzPgq8KJTZJQK/cWdIR4KV8+ko3hkTzgX5mqLWGPDaAinTHcX29luK2plc56KAC6kvdpaWiAacvLEkNqehRbOvMsMfsGGRAme/jDzeze/kNh27rk3cC4Cz68F6WILL6/OOJs5fX6ge+uaMB2A24lWTRwWSrbkzwd2X6rG0UWuuWoT2VlphLqHb5EJdT8pQYpOJVm18IKwX3h2cyZlw/1lYN/PfO/2LTu3cIodsVhu/MQ5d3w+3/Bv3nzKHB3P9xdRxC6Gr+ZrHmPfjvYvjtfkAnP0LIvDGBjnIgmtii5iIWZLiRandlW/zus3TnLtOAMrB6AGd26UCn7urDzTYFVJUoNyayi9o2QvPN4a/zcogG3vR96oeELraoo1ira4Y3ky4YSjIdXZ3JkWXIJCCLc2JqwQC5zEfW4C/2g0kDDksfDorznudtiQcS5zBN5wBWjCBK2yzGLFCHsxBK8VWWfIs5q3qxJld5QAT1Q1zdqtgGZfUIMJ6Wi5dj8yPkZ5VoWyS7idJLi7EHm9O9LZyP00ME+e5IoKUxmK+mnlugkmCOe6adcNTQoHaVfazxUrsAZ/FoubKgxWuximqJIhrIl+qgWK9T38JAlmDoZlJxWicpaNdXpWiM8SdLnl4ddh5EU48co/8sydVWBKHuinwz2XLMH+hMeY0jq5p1ku/NXVCWMKD2PPZepISarWOdqW2Mi16vxMuc1FueiyJr1FEgAR7tHAPGpSXMzT5BgEdpylQFOMFHdqJ7cKopgsgW+xTw+p+nmmiIKzP7PCAS0Y736pM9kSyooUiGAVxtf8TjNNVMEt8kxF4dmwzD2nruOHY+DL/RWdT2JJkS0PYy88oMVJF1xFEWqAn12dO2tHzaZNEF4qb1nXoi0YwQdLsL4J0IvaM6QggZFA3AqETOgjL3ZnvM1c95MoiUZPKoZ7l7mkHSwGm8QmKvsqEEILVp88o0LzXq4JTa18g/LXo1xf7WZIt8ti50L/mLCzKMtuky4KNCsZVSKXzzEsN4V4kzE3M89vzrzaC18uF8tLdyT4yFfxhi+WW4G5FceSHW+XA5cUGPXPJYY2z40mbAC7sBCTFZi7TrXKb/VnVb+O6Unwv4Xjy94pXVueCQ89HoKI3m0S4zXZWYsBxNrqERRN2nmZ57WImZMUQg2yr3uar6xRTG2xBtfVALIGsUa77Po5ad0LRRE+twJh9ZAuVhICb1QcxRkRyFmEi3VvBZ7/ftzx2eWGXAyPcy8H7uzJk5N4ZQfWa9d0WZPdoteHWTvJtQBYz6SqHk4BqmBZFYsxukaNIjQUyRIfA/OVwV6dCS7xvLuwczNf7K/Fw3MKpCVQfHmyj9uF1qmS5yF/V9/0uZcO1xMIYjHEmXYOugX8Q958v6jSuO4pabOOjfBTc2dJwyoQlzrlXIJA4nzm+fWZ235swoAPaWAwC85kXvtHTrnnJ/NLjrHnq+mKh2mQwAYJgM6TxBreCSR/t58ou5lp8iynTpA1eo11/zEFzDhT5jUqKsFRsA2K76bcCr/ShZTiuI2liTHWc7kmf2nw2P1A6T3pqm8dYDdmUmdJh6f7eCsg6Fy2S6F/zPqeNNQbaBKnFn7hKHMpBxF+yt36nJrFyQXyooWSqLWraMij4+J2jCfxNP7ifEMsliU5EbRzUhD76nTgdOmZTmJ9ZpKRcz8YVdClwdqL2cwtPS/DxRIPTrvLqrXh1/1um3yuRfECu4zrEz5E9sOMd5nnwwVnM2/CgdPYscyeOHkRPDoYbAeVypJ66WrXxLkWdG3Ss6gm7G4Vq7IR7JlWnAwnKfwuu7XAE3u513CWc3N8GTDPfWvSVFg2sFJOhozbJT568cB/8vpHXPmpFWy+133JM3vhLu/4p+PH/Hx53ubFP38ndkHeZjobmfBMi6cUw+fcEFzi7jLIXpQMWIHB5qDx38VgToH+rhDenknnU3tvG8FMMhdqYaCeS8UWLi8s7js3LFdGRI1C4fht0UM5/Ew62vO1qKEXK3FxvedixConPLgWOxVnMNE3MaflShaiP0uc485G9wvp+PqTITwY3Gw4u2vOXlwuzFIRYqsnLQZRlLYW3gfc0eCTYXomxYuHL275++ff5dnVmdf7kxQvX1xE4TkGfnG+lU6uLypeJJ9xut9xsgPuunD/XeEc23EtmuVQOH1ima+7xssdnxtO34oQCvMLJ2rcNwmuF91zzROm4XzX8/arHWWfuP7uPTlbvvrFM76q82CXMdHxL959i4zhPMmGbl9NTDfiz4wKXP3s8+ctgFpuMvEKpmRIO9kTl9kTHzrMZOnvLe5S9389oyraB0l05+eF+K2RPDt2P+zoHw3ja0EHAJRTAFfwLyasy+RkeXd/4PXzR/6Hn/yYg5/4tLsjF8s/fvc9Pjvd4E3ma/2deHEnEU4zpjSP9cqVvvYTixbu5+z5xcMNl0uH94n9MGNM4bLvZe7tI9fDxNHs8CdDPm2q33/B69dOcqdpYppWaM7Dw4M8zMsIvWvdrVrlcFPSQDAID88KXEU2CelE5eDED9NZ6SZsWi6Vx2HJmCIBeIXvukUSggr9q5yYyveTB7nyglJYA3GjVeemXFshKpmVk2ukehUUbpQdYGXx5s4RrzP5KlJmixlltsx9Fr7U5DCzga6QnkU9dL3C7iThtjMUp2pzj0hy42R80PGxsRCOaa28aNCffa02y31Wj9niC8PNRAiRIUR2YeGj/pEbP/LF+YZj35OSZbGFPDuyd9gsMJHsIBwN/iyE+ullEY6Pdj5yKE8SA7sUujvbqpwmlXboUNSyqYqM5dI6RUX2ZzBiGG+nxHIVyD5QVCQrd4U8FIaXF1IyZOUz3PiRF/7EC3/kxo7MxXE0A8EJvO2cen5hb2VSq+LenIWX5F3i27cPvOjO/ODhFV9my1iCqM+pp1yrYk2JfFmIaSTGcZ2PSdsYOQMdVXU3ByeBEogIm7V6k+trbR5LR9fkvPJ9ffVelK+ZLpBrklu7w8i42iVBXFEMxRlyqRnVmmx8yFUErcQaQ+psS+hblwOa313xBjs5ciik08DDvgNXeNuLyJPRe2sJbjHKMamdSuUWaocpe8hJBliuRQOmFvwXEdhq/C5a8FDXbk0+0yDwGdsn+i7yajjR24hXAtYp9ozJ40zhy2iJY6A8uhaUVahWtRwqei92lqQp94KKsAvwKIlM9SUV2KBee01gFE1h5yxwvjnjRkkwU+8wqjBc97LKoU+DCGjF64x9NnN9deHT6wde9iesySQsn7h7ntmL8OaKb9DkKXvez3vGFJiTJL1j9IzVGsEUFucILrHzCxcXtHpsJKg0wtuz9xEeJ+J8Js5/juGcXYuIqZc9ukKunyjp6vyUiQFYRSnUe/citpGDJRwjbpmlmDdFKax04o/ppyJfi5ZQC2eKwkmDbVYfqRcP5hyNcpx0Kc2Z8LgIMqhooKXWJMxFlOSj7GvFyXPPwTD5wIPd8VB2fJFvMbbQ7xbxgtWCJUYEk+xisGpsXwuSlYvbUAIGmKVDVmHbMlc0qSpWzz2BA9b5JXOLpj7vjo6kwWKwiRed2Ea9HE5cFnmuF+cprpA6ua8wy+/mHuIH7513MsdTJ0GeiQZ3liBSEEbiDxnOUrgc3knnIu5dm/t1L2m+ulqgzr0UD1JXk1wJPFsnKRmcT3xyeOQqTA0lcs49dykxWLEpW8pzfjE+434ZuBt3nOagXLbCHB2zJrlmEHuKm2Hiqpt4d9nzZvYUdSowWjXPKZLmmeVyJE6P63QNVtZEkrlr5yRrI4oiedx54mCaqFDzFKaKPQoc1+860i6w3HQS9J8jds6kwTYl4iZ0Vx0QFPpsY8E+xAaTrud8RZuhQpUCZS6cPvLEg2ldXZtK65L6sdqvyPw0WeMCC6Z4cnA8XDzHR4G6lsWCKwzXAhE9n3ryxWNG2/w7Uw/0RTvGK8S3GBp/tiK24sUwHwzhsjYQavJXix1robNOJAg76QodulmL8oln4YK3icE9542/4nHseSyGbAvpYERgrFgVrascWEhXAo8oxlFqoccX0VZpPHSZv92xNCsoVz18nXQ4Kh/VzWoV5A3jc9nHunvtuts1XG3c8y4z7Ga+d/uG//L5v2Qpjp8uLwH4Lf/Ad8IV/+AC/+z4Xc4VNl4MP3r7gvHY8/zlI997/la8XxUpNUfpak1jIC3Cwa2w/OJlDP3JYu8T/ouZ/NVXxMtx3cIXMDOtuCmxp6yP4grTC0OxnnhAdCz6TP/tE9PY0f3RwLM/OXL/lw9ML2STdUpvE+VgGL4q7N/kppxerIh0FQeXjwzzbcZfINxXwSv5meNvZcqLmTz3hEe5DzdWSznW5pJT7rwWM80iZ8rwxnL1s8J8A8dvqBXiF4H8WeCLbwb6T0Rt+dPnD7JPxsBxkeaGcZkyiCYL2WDuRVws3iTii4w5O/zR0pBkHi4fFUZQCgRMzwuvvnXHLiy8P+9YFsfXbk586/o9X41X/OTNc3It3heD+bJj+NJw/G7hP//mn/L5eMMf/pu/wu4Lw/GbhfjRQoqWH715IU4Dykv+5MUDV93E2/OB9/cH0sXhP+uFtvAsk28itku4Lmln2ZKixd85sUI66hxWP+pidU+2Ak13k5xr/+lv/4Avzjf87Pvfon9fuLwGd72Qzh776Mi7zMcvHrjpR/70s49Idx3D68j//MV/w2CWpmr9B+l3ePdwkI7ttfDPY7akZLGm0NnIzi1cuYkhLFw58an/YrkRgdjzQegnLnPdzwSXOR92JO/YDTPX3cRniKhcWWs5f+Hr105y/97f+3v83b/7d3/l90xMQAKz12oeVNP02sEQW43SJo5UJi0QtHWeW7KUTeX0bTL1sgbkIkYlN5qrBY0BcsFVbqR1K9RGTdnrQS0dCrt2w0rBX2SjqxVAG7U65wFVGXajLNIcROGYakLvwPQCtckG5bnJAqKIpVKD2FX7EuSaUy8QttqxatxOXeTS1NgcfkvB+qfJgkkSoCyzx9pMsJmdX3gezty6C4cw0flItFaCYCA5L4dAMlA5Jb1yMBLSfazQP4skblXCP5rWGZOAr3a6Vh7TmviatZvLWgEWSLZW/5WHJD6QUrSYLgEfEvvDyO1u5MpN9HYhF8tcHO/SFT8dX+Bt4tZfWHIl9wvBPRdJAgqyyYwx8GCGpnQ3LZ4y1UStzmPDu3/4B3z///1f/fIkL5lSk1nvSDvxy23KxdELPKXarQCNB15hycaoSICW+GrnqyYItVB0WRr0TL7/wVpwRjvBBhNl89hak5hNR60WGkT0SbsvmE1XQoOVRbmQmogZ7dCSnXBLVCWyqpdanzGdKC4SnfLNjXyt10O0qciWxl1sa04TRYfsA2abJBlFadS5U6Gd0BJta0oT47jxI8EknClY04m/mi2a2UMVX6j7SEuitVCUFDZXPtwNjRYMTPUmXhOb9ne1N5OJxpNuphZ06rOTsZY1VBYwsyEvlqSQQW9WMbu9neiNBP+9iSRjOZWeXGzr3i7JqZiabUlDyoap+Dbvqz4A0TRbGRvhzT/7A/7on/3yPDfz8qQo1TjINQkravWj3sfVaxIviZsI12wSopTXZ5jX8WmvDHZKsodEhfFadK2ZFXarL5uq5UWlfGjSWgskbrP+NFkoWgjKFKwxjdoChrxAerRE2zVYenGFGBLeZ+rmLd1SmQvZy3kmxRxaMXWFKWsBRAV5irU0VEsGerBO+dkVtq9ojad8aTCusA8Lez839dC9nzl0M+c5aMHKNCs4NmPShljnde60eGllrzM1GVJIcu1SoAWcNNiGBrHKvbWuCER0ksJSsjLw1SqqdbM30NESCiWIH/fezzwLF77RvefaXRjM0qD4C465eKbsmBWenLMFmwlWrDh8ULijS3gnthRjDCxR6E6oYFkNjN/9oz/gT//xr9rPEbSYh3TVMT0LT7+ttKItpacilupcLs6QB69w8SpkJTx0Ozl8UJ2HWDBaEM6KoHGzohZiIQdL3CvqTBNg+Tz5rOKBpAlkElitdPFo8749w1mL54VG+SmTzg1jybFThW4RL7NWuj9dH0kus9hAnkybP62DvNcOqCZJUYs5lT+cnTB5Ym8YXwZdR3r/qUiSUmMJo8nOaImzY1w8nUsc1B7txl9UaVts08bodb8He7HN/1m6yEZgi1k/Qzm+ZWNdVXwRDvPGR91d1nNyjQNr7IMIam4KxHaRfcSpNkOltxilGKShCBzfy0b5eZSCe1KqSQaWktjbhU+7e97EKz4fxbrJuYzrEs4W5rSqKIumq6yN0EWMtQJBTUYLFQrlLvD2n/4B//5XzPPcQTfJ+o0Hw+UjaVqY2WC0OF683F94EE2M83LARIHenr655/LKslyJbkx3J2fyspffW24Mx1qU13nozwUzQf8O3CTcVTfRYv+swqLWZymm7/Q6tgUUJ8UVP23moZduub1aWG4c841wam2Us06KorIH3F8GvMv0CvXufcRSmHcSIy+LI1oZa3utm/PkIFqBVW+g9EIH0Gu0srfaBPfHgZPvGE8dZXZ8Hh0PY8+yeJZRqkDGyRmSh8x8a2GXWtyyXIkmTnyW2N2MpGSFflEkLijZcDn1TVyz0jLSoBd2tdDvFuZLYH47SMzYZaoWQO4K03PD/GxV1C4a71TxN7uTYscfv/2E8xTIymPPvWiokIRXnWbHF+9uuBtUhb3PpGz5d9PXANEJuU87zot0Yb0VPZGDn/jazYPQTZLjy/M1s4rdTclzjh0ZEVaL2XJ33FFGx1zgC3tNXBz2weMmw7nf8ZNi4DGohdkvb+u/6vVrJ7l/5+/8Hf723/7b7f8PDw9885vfBKBcRoiR/Olzzq8EuuBHteCYtFo2ZtwlUoJl2UtCEA+OYh3dQ8Q/TJr0uJY8AKIGDMILUxVPO2tHLYPJmXzoWW46mphVLqRuR3Yi1lAT2Gq7knojnRYNSNyUGd7MkAtJOw5VrCf2AocoVjqdclGWGV2UnSh97a9Hhm5hjp6ULNMYyMcgip4ZWRhVZbgGQg7mq9opkf+7qQZh0r1oWHkDvoo7VMuaUg82cCdLdIFFfale90f+8vA5L92RP9u95t0ocMNcDMep4/1RMAsZCQbSvjArZ7R6qMWhCLfCyqZjssFdpFKcA+Jli359EvuF5pHKWrGmcRgKqIVRDlasBQ5WxCiqF27QA/BNR/lk5C+//IqPhiOfdnfc2AsJUSH8/vlj/tXbr7MPC9+9foMzhYxAIsboNyJTlgi8G/ecYoczmRe7M8exxx2dVnllk7Oz4eO//rf4zqv/Ebf/+i1pufAPfvy/1wvOkJI8us4zvexa4cEkCNZgZy9CO8rBzJ0EXu48Y5ZEsXb123WS0DaoqLOijLhE7Pkka6APkvh+oOhsrM6puka029Ug7DWR01jFIIFGUb4rtijnkQaTq/7F2atwRzDkixQ9loNjUrW9ouqb3e3IzWHk4TQwLQM5qx2OJvqpV4SFcoFq4pEG6c66SawLmiWJis7ZRTpHcW/XZLjCnfWQcU48YOcsoinf6t9x6058EW95vxw4x45fuBtJ6uFJ92AVSaN1VfJOrFnMZAUqVdG7NXFiTWREJE6Ew9yYtGMp90xTEKZ1hopBUCDZNSicU+VlfzYsnWfaiVBGbyOv/QMfuUde2om9gWf2zK0/Q4R3HJiy47R0nOaOaZF57l3mahCUzcNFeKSzd3Q+MU4BRquepiv065O//j/me8//Uw7/+hcs45l/+O7/KLf8eMKELPPOXjFf6X5e0RnKNbRRBaaA3AmawYIKsmnxZ0nY8wzG4DonHcxN97co/9ffXyBlsb8Ijqo0vtHcai83ZfxJEum8UU2VAErg47XwRDLtGlNnMdqBdnrY10TMj4blwUkApgFrHBLGCJSzhEKxmegKdrJqw6A/WxNsK9fRuqYBkpN7LE4SJH+WNWa6dT63NV2TzU2SXHzB95HXw5EXnRQs93bidXckZsd5CTxykM+dlaNYeZzoWtREM7sicM4+yzw/W+U1SwDkLzIvreopFGsYnzlshP4+4aYkyVoSqoWdkxRhTS97/CIFq9QrJBurhdBCOmTc9cKzw4WPhke+3r/nPzv8Cdcm8tN0xV3ak7GMueOstJNLDEyLBEadkQS3DwWvtKDgEga4LJ7j2DPPXsR4Krw6y5h89B/9Lb79yd/k9o/uSeOJf/hn/zt9QJD3nhIsp096Hr9plWaFoqhkfyqayLkkAmlkxO/VWPHKvNLOsp5xdlwwU5LzoBblk9pb6XwNj6mJbtppIe8C48ugyaskum4WXihFlG+Ng+FdxF0S87PA+EwSi4pK8aOKmHm7dhh1TZjq7fwoh8F8U1g+ydiQJREIkVdXJw5h5qd3z7hbbjBRVPcphrgvpL0kOP177QrtajFU115Vit+JBSDA7k1RrrcWe7wkJVWUyF0MkwucbKH3iVfdkVt/4bk/EYx4xAIs2XFvd5Rk6d9b/GWTLM/ajdoZ4sFAj8Jc1wJn7gvjx1EoP5NpdCve0IoykqCVp45y7dIL4Sz/Difd94ulWCnQx0NhuS4MVxPP9xdidvx352+xtzMv/JFgImNxHPPEa5v5H+y/zx9NX+e/fvttHueeXSe8284l4TRmyxDi9kpwvQilzUmKAvPsmc47PbcNr/6Tv8W3P/2bPPuXX5HmM//gp/8HQCgWV58V9l9G3vwHAfd798Sxw/9owF1Mo+n4c+VnSvNBOrFw/JZluY2424X4Wc/zP5a44fG3LEtfOH0jU64jXBzdO4c/GXZvJRY8fC5F0LRzYpfXmyb2VPpM10Uuh8T0zCi6U8Y4DZKE9RfYfVkPbulEzrcz3/v4Dd83rznaATuLZVSxML3Mokq8WO7fH3Bd4uogcfnXhhMHN/NyODEmz7vxwJcPV+z6mb/x8U+5chN//8e/y+nLg9DkrqIklRdHdd9o+2UBdzbMv9iTDHSPulZMIJq92BFdaWF0nzA+Y57PpJfw/PrMKfbChf9k5HLref3JPb/97A0/eXzOZ1/dkkdPeCOJXXcvRYPxpeHyaZKz6MWM85lPX97zanfkX/373+L233niDi6fSCyTeqWwvBx5/fKRN++vCX+6A2B+mTA7sV3DCHf6/l8L4iBfZ+ZnkK+jCOGeLfvPZP+4THumvpA/WhhuJsbo+X98+Xsc556fv3lGTobdYWbfLwxOYNsfhUe+/ckb7uOe/9tPf493dwe+6q/4+XDDw+Oe8tkA2ZBu1SL06PEnC8YRvxJ4+P6N8L/nh454FdgdJX7My6+X5f7aSW7f9/R9/6u/mQskVUjtq+WE2pxo96AVljXILKwb1YcediAbjjyDumMXhZptuiVbLlhN+jTQrF0sEREqWvFeK9xlkwDUjWzbkVm7D1V2fRX2EUELIzFtkN/J2RKTa1ADawtZYZzbTkSzI9hUtUADEW/WoJ4i+U1++rtZBWyaLQeb989S0eo2EE4Ab1NTIE76p41XUs8+rf6sH9aGRR9IrXSaNg71mlZxoNq5+OB9ihy226p44yDV8VmLx+26AAYX8SpKcsrr/FuK3EfMIhnvtINbisiOxySiGjkbSrEs2WKTI1uRIc/ZSNVfq/+gFV7rCc7gXS9iOdtXrfx6K7xEI5Ax4yDPGsBnqwF67dCwzm27+ff2a9sO13Z+p6ydLF0f7WFI57PU+d78R+t9lPZs6qsVRaoAT66fVddrDdCNctDkYWW0o7BYsSGwBTTRDE66XVMQn9/sZe6mDu0Or3O9TuMGRfIIv6hU3hdrcrKZB/Xa1+uXbni1gbKmEEykMwlHaV/78FXfo3Hetj9ifsUPtGe+/fN0f/hzX5b1WdXOfuXn1retz7PmxcWQMTzmHZ1JBJOYTeRUOqYcmIpUPucsgX+d+1HhbLU6bIzAnAoq8pZrAPG0a+eKJ9gBXzzFfHAM5MoTFISJyQUbjDR4Ux2jsu4ZBkpb2OXpHDfKodrs0dKi2ETiKfOhyNuTMat7ce1WRbWayPrwFDXzoU1Me37Q5njtfIIkfhhIS4UuI/eUkTmWDdYVjJOAJ0dLNpA7VZnUsdnOqabvVbmXNZmue6OpGyktcGrzve6B2z/1kSCc7LEE4aK6hWBzs+5o91rfU8esbN+z/qdsEBLa2a9jW8e3XU/dy7fzH7k3OaBYu5sb1V1TaRQfvBy5+bRmxPbjnHsSVv6demIWEcei+3fKK4fU6vxu46JrIEUHiyBbzCKJnU3g8QRn8WEUSkh9bc6o4ngKp90KzpnNM9Szqu6rggyTxNoqumxVyN/EKLrP2mWzZ9dX1WTY7nGlxhu6j9vNUGpsU+36Vh6vfl59/tTfEYRAKbRzu/69XS7BSpf90M88HBaBDC5+g6xY45XaqUdvXyn0pM6sIod1HtTkIEHafr2hnGRdVd5eKlbniPh/9zY+2c+3Y1T4cMwQDny9NlOfofxgKQjSo6y+0LUj2957g7KrMZ8xcn/b3aWKg24Ly6VIR2rOjmOSROZWzXrH4jiVmbOu4blId3q7QlIxImBaDMHJRTmzopZykTVR53vjBWdwxuO9xYfd0weLPjNV3w4us7i0ib3l/rJCnysXvDjILyThxEJeLC6qi0MurXGzbjA0OLtQjCz+nHBLJu2c0hhq4wPIhrjIoBaPoM3qmtQtskGydXoX3cNisTiXibtMMco5NYIqZLZkmyHo0OiYWYoUkpG4YQyidtz7SC6WKT9Fcsh+Z2R+U8Xd6r4gP9K46sm0uWMr7a7XIdKOrNlFfIh0PjVhrH5YMKY0al2p68KU9byL+ifRGjLWFZyX+ZGL7sFuXXelxrX6fs6qdVI9J1zBhvwk5KwFj+Wgnz+JfVWYK+UKthZP1mZistyNIvZar33XLdwMI4OLTNlLnKiINKOLNiXDtASBVWsTME8KxUc60C0vKTTxRilC1sLMU1utv+j1GwtPobBWgHjwTC+BbOjvpWOwJjZu7c7qAe+mdRNfbnqF72RMkkqxibkdKCZnzKJE6E7EqtLBr9AeFS0pFT4VpYMrfFc9SKIGgQpDyl218zDEqyCd3J1rojl1BwrnjaKggXCUYDvuYLHCGx3f7BhtwR4iXR8JXSS8iMxToJwGMBLMG90catW+qimnHY2vJ5YMBvO+ckaE1xN3luk2tGtK0TDfKq9WO23WZa7CxM4tvItX6h1mOPiZry4HMd+ePO4oZPnwKByD0qB3UDqZ0CaBLcK5rHFthbS5i/zbLcLpNQGWg5UKZx23Y6J7WEi9UzjWZtpsumu1q1h5P9lD6WVzj8Vyt+z4lw+/hTWFF92JvZ2Zs+fQibrul5drAB7nXuwltNKZVVzKaFIWfWKKjmXxjMcOXz9/kudZOao2FYFtboRKACnk5ELaBU6fSKHAn1f4JlngkK2rVIXSkpcOrsLwW5BTFZZNEYuLqN2/nawFsb2IEDzFbzpcmgQ0+5cMhu3ho+uq36w56iah3bewEQ/KT+GItQuzHGTt2Bm6OytdmU8iflgYOgmyr4YJ81xU8JZ512B0AgkzhNr1qvzAGaUCyKHnVOzGerDBNch7eEzk3rA4GWc7S+PaHS1L6BhD4tpP3Hjp7o+lesUK1LF6CLb5lhQuGFhVvRfp0JhitcD0y5tmtc3wkyiECwLDkJoCdJ1EaMdEihxmEU2CfD0QdzL33SIPYenE/qsEBCFhaDZk//f5P8DbxMf9I1du4iEO3C17LinwbtqLx+ISmKJjmjxx9qToyNngXObQz3ibOc/SCUtRIPkmGvxJ5ng4FrpTwZ8i5XyhLBtOrtdoLiXS4BlfSRATjzIObhLIJEeBGYtSpQCLTZQ9ugTAOXJw5Oci6lQM2uWl8djR8WvIBG91ztoGYbfqk25n06DIAoMsuCgBrATdorpvo/jt5Z0c/qaeQfrHJk1IzNo1s7PBaWc/7ZXfigStr54/8vH+yJi8UB7GnvfcYi8WfxKLmidwvAq507PCTbJXuqX6Fq7fs7HgR7XtqaI3VZnY1C3H8m7aMybPJYXGaXrRnXgxHPhyf8WU+wa3FA9WcE7OmyZ8pXzbMrmWyNtFOFtStJVrCxfpwuRuFQSsBeDirSYxXtVsK0zb4MYkSVwbV6MiNYZ4tiTnOR56HuIObzN/OH6DziT+bPqI93HPlD1T9iqoJhZ9S3JiaRMtlzHgfeagYiS1/DjOgekSKGdP99ZhF7Pay5xlvvqLCv1tfM9z73ExYy8R82kvwbwm/9lVgZ01E5aOaWjxjMD+LCkIl7y/kwlWk9qqIWJibklaOFVJbvl8eki2o1iDG7MEdr0lBbVtOmewqNAbLFdiz1RVr4tBbOCQAN+1tbAuZylU8cSfFIMkA7osnM0CF3Yzf+XZl/zu8y/4+fmWP/6Tb+COun9kUck+DXoDNbHRoDztZNz8aBjeVNj0uvfaInPMjzKW840qRM+GPDlOl44fnl5y2wn1ZO8mgk1ch5Fgk/Abi1hRZW+04677eb2/ZDCL7Km4AiHjuizw3lH2tZos1MJ7VcMWRF8N5Gs3XXRRsjek4Fsib7JlvraML+Wc9Ce5j/Gq523Yt4LM8+7M1/v3APxoecXPY+Sny0t+NL7ilHr2XmBtP7+/ZZyCwDy1s/58uND7yLcPb7lyE3949w1+dn/L6XHAfNFLvKJFOj9Cf6cOI0MA063n1wynrxuO3/IsN5nxYUdJBnOTSTtDuLcwwvRRJn80Y951vPhvDVblSEoodG8d4cETTvLssyp/uwn2v7CY1MneqWjEh+8YTHLsP7fs31pOHzsevoMWJmUtuKMlnXe4rLFnUDs0wD9a/FkQBA/PaKinYiE9BH4YX2F9wb8aiZNncgE3G3ZfyH788D0YXp+EsoQkurFYYhaP1t5Gvn31jt+9+Zyv5iv+yU+/I3tINtAnmBz2Xp533iflVGkyFtRGiVoQg+VaLZNOAu2laLEgGcKjHAjTpxAOE8YUzlGezzee3bFkx5ePV3zx9hbnhZ43ukB8EKG1GpcUp4lotuQrQzKOz99f84W5xvaJh9+bIRrsxbUmnEkQS88vji8xk8Xq+YRSucriKIugeirKqLuXzU2cZyxxbxhfydp33zlyM8xMi2/io8dzz2E385999/u86E581D1wbUd+Nr/gJ5fn9Dbx3u9ZiuPQzSw3F0GgTYrSeKYq37NoheTXM7fPThzPPfGtdp4/FT0Y/2Wgv5N5cfmkkKYPmlB/zus3T3Lry9hmaSOGymZNWjQJakbhrcpXA0TTeLA1MTaLJLl4u3YClkhTtbVWRUtEhKQGQ/X9Wud1U9VqlgBVGTIZTehUgArpXNTEoL5EQbN6RxmFX6ulgIpoGSXNlz4L58oW+rBQimFxtbP39LApBSwqdKDBjSnyVOSwXbvIwpMSP18bJRgpUTsDm0qvMaV5qp1z1yxIvE3S/ZkdZZJqdxUicKMs3jKwZkOa1G4hdPLMaJBHt5S18lkDHnhS3TRLwoQaHG0qn5uOQR0PN5fG4a33I5VRz0NcK23RW5bsCDaRimVKnqT2EjHZxm3IKjeOLaKmbArz7FkmL2IyoIHvWvlvXKZNR7W9cpEqcLDEff1ZKTuKiIyllKxwHyOwNi28GKsWTs4CWTjPsKIJSpEgzDtwnmIyZi4Qo3ztw1frsGhJe7Pef6lTwPqzzZc30CCWa1e/KP+otEJMHQ8JACC7TNclgpPqYOcS9HJYL11PzrZxpUxCrAMsTcDJKH0/OwnoTVmtOeTDjMImFTLL+ntW/frMvAoZeJuVp+1ZiogcZKQDtO3KbtXT168ZGRMLtnbz9TLq5axdREWSGPOEV16FuNqzrIgFhS0Lx0j2rKrK2biKm0JazJaYO95G6dSNKXDws3ZvHXOWJCtm7Xpk4WeVJN32uDhKMbhdZhcWLsua6LeunXLqajHHxEyJkbJsJo+zEKFoh30bRBedFyUWvBZtnnRydX61YlZVFIamnFwHuXZqzUYSfyvSVZEfJkvR01jlJPm1OFPfz1IDKFbIgH5G7ci0Z75ZA8aBMaY9X8r6bOrjv+pmvrG/45ICj+rJfbc7kIvQUgR+blbof01QteIvPqJ67uifejXyTArWQTH2w8ZIm39TWo/pziWCkUJm5yLeZ2a3jmG1pDHKTcWs+6tdeOJAIIluLezJZ1kVZQSL6ddrfjKmKrr0BLFTC2ab628iWoshR0NMVuD2sedNvCGYxJfLNffLrs3zmB2pWLXbUIRCtm0rTtlQbcgFQGbEA3quVBq1hIlynrhFn+0HaIHiDWaqxah69opnsUX/X8/jIp30pN1eW4vkblVj/yUASD3rlK4jMY3w04s3TeW+ckcFCinFamuVQ5fEHq3Og6rcXTu9sJ6nK5qKX37V+cgm9kpSADFIt9CbhFfRp0+7O3ob+ePwNaEUQEv+y1BA6Unbgk3qEDGzYhuEeOW0loaWslHGeO34y7Wk6HhcBqwpnHNHUNx/9QYvNan2haywUdD1ot3BhjQrRrpvtmCdbPqp0FAOjRJgNsdjHVMdYFOfQZSbbDFJLWD7VTW6itCxiG/zxSWOS09nkxZePXe6hj+bn/HzyzMypinNFqSYVe/Tu4TT7z0PZ577E51NEtdMjuFBfjYeJKGvRTYRwbPNmUTGG+JOqQqhiO8wUDoVvjvJIKR95sXzI+/mGyBoAVcaHG40DG9VSd7KPKjnYjhJoT/uTDvT40G6suFoiCfLcmWIz+R52lH9ZRVtUTZ2TiWs8aBdxOUj3iSh/OkzsJMlF0+5Xuj3El/HwWGyWBh1jyI01rVOp2kd9ozBm4w1mWs/8nF44JI7Lg8D5tFT9gnTJ0oGOwkqIe+BipbR876oJkOj5XVKaZncGodrBal2SKdoGgJlzh5vEs/6CzFbfv7ulvQQKFdwcxjJneXslbJYKVca/4i+kdxTGiUxd0Pk6sWZ8dKRRunwS/dXC35JIdebeINimmJzRXlVm6Fa1LdL4ewsaS+ibh/dnLjtRz57uBGl7yx+3GlY+M7+Dd/o3vHaPzCYhfu05xw7ZivjLTlIVkqna/OdIFRSMwl10IfEJ9ePfA68f+jBwO52xPvE6e62Jfz5OlK6p5D+P+/1Gye5JQSM97DLxL10e6owEVk4ASkYwhnFs9eOU2kHo4kFl3ITbTBFK507SRJaYNB3GqQIJ9eq4AOmJhQaGKWMPy74x3m9Tm+J+6C8K0vWpMypYMYaOAGK1RUhqlUdscJapls54G2Vcw8FriM2iLrerluYouPxNIhQwKuZFC3ly0B40M/RQ7u6zsRDUe872QBSETNu8euzEngUqYRuDwjpwsp958Ux2YF/d/0Rg4/8qHuJt4n7ecd5kc6O7yNLrpNaJn5VBK2iEu2AroHaJAvFTlK1dHMhnCQZap7DSQRJKLQEzJ+icJQWUZ3N3rLchFXK3Evg7xVuIhYL0rUxEZZz4AfvX+LsCkH98d1zgVG4ROcTVpP6JVvujwNx9lgvFk+WLJ9hCjlbloQszovHTOtmK5VY5TVVzvD1gTJvIgYrPAFTMnFwzDdV+MaQZ4NJFt8b3GzxY16TRhVQaxCXah304ctaUVr2jhK8QOtSpvnygs5z+bcdoyQK3mqHxTY+ll20W9sVjMlUn+qtJVLRgNWm0pRec2dbgC8K6XLgLwexu0kDhD5yNUxc9xMHrURnDI+h53zdS5fu5GVe+tK8ngUOVZhDDXZo6p8gzzuchEMvnHCJSsLJ4JQDl3rxoku9YT52/MndR6Ksuj+wczPv5gPHpefz4zXL6Cmjw12MBgCyrN20dt1ESl+CFeGCa8CiAZFVywU3K5pikYi/aGHLjbF5dsvesXZwWyKlBbgGGU4WfxEIoT8ZwDF3He+u9zibcaZQTOH9tOd+2jW7j+1LKBH5KWyzGIiWu9OOBzswXjri6GGy+FE4Q+Eoc9xrgIo1mP0OGwrc6bzoe8mEloXcWeZnFZotAnN9ljUfBwO3Egy5SRNYtb8qQeZiVRYmFdxlkaJlncfGSAJQis59SWjtkikxCy+/FoJqVmOgdRWNJFqVm4sB4xXC6a1u4ZukWgNTo4lzXQSmyBlQnCE1MRuwfWK/n/h498hv7d5wTj0PUYLwH/pXoldXA/xBOlnSxSxPEo3UG5aDzMF0p5xgtaeqZ6GJOu/1fMlB9pXZWqIP3J13DN3S9sB3855T6vjqcsV46SijWwunChesXE2ZlzL37bwK7FRUTr3fIlOxzWM3ZTpNcN1FC85O9hsiTSyqARl0z7GxEC5ZdBu8Jc+wHAy5t1yOPf/u3cccuplT6uhsFPh9dpxjxyl2ZIVspmKEf9svLLMgEnKSzoG1ImJlTCHOHkaLu9jW3auJjB8L4VQIjxEzzZhlRea489Ig1lk7+EX3hNrtA+lG+lG+V+HpfpKzrqrgF2eacJSdAq6O4ZjbuWaKJLGS+Fk5WztRKzdZ3AZIheK7VSDTmifJazgm7JyJB8eyl72+O8qZ2z9k0TRQX9Im/GVlD6t0qHq+L7eAK3zvxRu+dXhPMHKWvvAnXvtHjv3A7nbkYnvK2ZMnnVNe1jPI56edJk9aGE+9IR7UeWFhLTohBQ83Ajz12iVDHh2f3d9w3w8qTjYwZU/MToo8OtHsIt06sXCSc7uq+S41AB6tFpo92XeYaBgu9YzR3znK+6VgWPZyIf7yNNbLneHyqpNk7pjoKqohFdzeNuqWm+R+wr1jcgPL5JmWwFfdFQ/LwOCEo9jbxKQCmbkY5uSJxfJsN3LoZ45jz3jpyNnwWbZYm/n58bZxcfsQOZcVfeEvEluEk+yJds7YxzNlPq9jvsDhZ3LunL4J5XsjFMNyCVSBuWLFt/ZueoEtcPe7EhvkQR6em6C/zywHy+O3bLPiBInd/bhB4nndZxxMLwuXTwzFFEEEFLOew2NFzsnzSIPwdYsrogr8KHsgRTqT/qRxhAOwlHc9p/cdJhtcpQ8GtXmLcH+/F5E8l2CAj4YjX+vv2NuZ3i78aHzF/+vNX+HL0xXmLKjGdFXwIbF412Lf1gToM2XI5KMjXEwr3BdXKLuMCZl80mK23h8Gck+DCZ/PQrd7uTs/OSPmSyC8dywG0q3Eq6UrpFLo31n8SRL+5Urex32u9kJq8ZltIVwlJlMasigHKH2huzd094a4h+mFnI/d5wGTOrjKpEMm3iQer8CdLbd/arBT4f47tnGcyyFiDHz+5pbPuZV8qRXfDKfjwP/5+/8R+37mf/bNf81/vP8B7+KBz0433PYjv3v1ORnDn96/5vEycDn28BgEcREyuEK+SkqNs/zwzUvm0QtFDrg8ivhWdzSaKxgogfz/t05u8BQnDy8OYgFjbE1g5GsmV6ie/EqFC9dNzqaMnVS0aEmywA5BPLKiCp60CkQNJMWuRar4lhQEltp4s6cJc5moEFGCbxDSpIGyTaqU1yCmGqhmVruQDHaqSZxcS+o68VGrnZpQONyMXA0TnVbh5rgnjgHjMte3ohZ4f7rFn92Tqm+thsYdsqlcBKaXixEhpk4CpIr7r2IYdUDsUqumohRanOOr99d4n3jb7RtXNWsltesSWb1DTaQlILaqr202vqL8STcZUGsKf5EgLZwFSm0rDC+tQjQ1OLXnBXOZJZi7y5QuUMINsajXr3Zf/FjaBiYiLdrBHh139wcJarooKsl3A+Zi4SZy9Ux8UnfdIrytc4c5O/JVJBx00XhN+LKUs/PsMLNt4lp20cR9KtoplI0k7wO523DQnSoZZkvuRWxCeKwG63X8g8C1qj2Eu2SFo6OV4UIVTPulRNcYgSR7J4lrMZA8rW2hP4OzkqxOsyynIJtBHrwEoGX9DBMzxjqtam8n3eZPkeeXrWkw/RoEu7ms/IdO5ueuXzh0M9dh5CpMOCOy8IPb8+ZwYLQdcbYwiZBP6msULHMqDSKMIBAZs1bhk2mejyDX7oqBkyQtMqaIJ+JkyGfHVw9X3IeBJTt2fuFhGhij5/E8UCYnEJ3aVVBEgnip0g6p7NZ17i9SlZbv1ULQmuBKdxmBeyWxuzGLCOBgpGNjFNKuvifYmCmz/J5VjrZXDz5/loeQ9o7HS/9EQOpx6pU/L6qD3mb2nXrwVS6XKZUGD1qtHi9iTJovXub5ZJrtQThJQOLmCnsH0/cYu+lw7TqYJohRYLQ3SRN0ea9wkvUtEEFJzgRqWbTYtia6AtuS79nLIkicSj/xjtyHlrCaqixex7NoV6J3K6y+7ZkKKQx2Dd6trMUnid1mvrfuuRblQOZE5eQ59S+vCqwhJA79zMf9A98M7zi5nnsnsCtrM0kF2KSLVWTvtkBVZNaCa94ZknpZUqwEIQ8F1/iR0nFyS6EkRVEYET1MgxRkL5NQTvZBEt05e1jgYeylcr9omw5NqLQLsEXNNAq40SRQizi1K/mkA6uqv3ZKKxonF7JxVISCm3UMq06GdvWN7nt2MVo4kG5C2hniyfPOX/GoFfidF6VobzNj8pyX0HhWpUg3xjvpYMXZUTLkJUhhuQg8v8wWO1pJRi+slKWCiiFG3HmGcaKkNcm1F1GrBZk/eRfBQuwqtN+pc4CcC9kJNLh2SdyYsXstsjiJc4qzhJMk41JUSFJ8HJzsCboe5Ab1PFI9AnuJQtO6Cq0DKnN2fY7hFHHHmeJ2zNcCJQ9nOXvDMWqSW0iDpfLpMVKQxsg11iKh0QL9X7r+iv/e/se8TVfcxz3P/YmX7sijH3hxdea9KZwZKFa7VLaIqGLNXm8WQh/JyZGjdux3VtAJU6Vl6VyZdL5Xjp8iv0wylMVyfhiYe88Xww3z4FcV2uRaTlCVlVMPKRT6yRCOq1p6+7udcZqIXuRs7x9Km7sVWj9fy3yRAok+p1JIvYhi2gWu3y/406J7jsUpvL+eG5SCfzRkL/7xp2i5+I7jpce5zL6fGXzkqpu46UbZq7W7+2p3xNvMD+JLTnEgJ0NcvCy1WegFw+3Ei+sT75EE3c2b+LnamS0Fc/wgyY1w9TbRv19YrgfCfhJE3+QprHzz7sHgvjRMLwrurz3Qh8j7t1eYsxe60mNm2VsuH2eyF1irGytsuTTKQ/b6fDrD429ndl87cn63p//Mr93EWmyewZ8K/X1h2RvSTmOoUy1CyEOs1AOsqHwXZwgXcBfZ/9OuNChxKkb2pMdA8pm8M8SQeBFOfKt7wzN35saO/Gh8xZ9+8ZrlEpqNWjJIkqve6qiSMqXgdgnnE/M4aEJdmmq8HSK+Syydb/cnlqHSRa9Fy3TxzH5VV66vcvF09yI0W4p2fDvhzLrRMrwrXF6LgJqdDMMbGXfxhy7MB9sE+WrjZhkypSv4zx3XP0tcXlkun8i83/3UEo6F4zct6ZCxh4UXz0/cP+7IPzxgUuHytcRv/c7nzMlxnjouU2D+7CDFgEOCXs85Uygnz/TzgdEXfvDyNX9j/0Me48D9eUfnEh+He0DQauMYKCdPeLTkrpBuCriM2wn3fhk949tdgzBjgJMqjl8MblTkwihx4K/z+s2T3I3lBAVRG/aF5VoOOH+WBx4H4Ww2UYtNjG+cxVhNZue4Fjk0uH1iyZJoLfsq2mNyIsypwUGLU8hGF+TaaodBxQZMLq3iKxewJrVu1iTEQNTgKXcClavBlgRU2uWZ5HBLKpzgbOYQZi5d4BTkAy4XqVC7sxzGqZfJXyEawoMtFFdIZOXoiNF29eqsYyeVMO0AJKO85lpVkYc/P3QkV1iGKAWHRWCNJBk3M1m6aYV2Vf8/QC1uZKzFH3jT4dIuhI1lfX5lW7SoCYNWey0QvCin6o+7S8TEwnLlGz/Vaiel7Iw81lkTAWOJJpB9Ie90wkc5oHM0wrv1uXVqBUpSIBmmS3gyz3IU+ySa2vV6/W4uqmRJ40mbZeWAyxtsxsgaEWEq2rlpULZ6PzKpTG8oUSvPSaCZq5iI2uaoPLzZJLNmjhI4poRJeeXebq6jBUJI0mGqN3V9Nci4JAsrfUCD6FC5jRt4aLu/9W2aLYl2N8Y58Oh7vRSxR+hc4hzFg67Byoxeg18LQcVCVj9pGQYrc+u4wj2z02sLchFuyWK7MYmAUjiqhUuxjP3A1CeW6Ag+MSsHdRk1wVuezl2b6iFQnszVMmrBY6LJ7NsoB2e4aNCulh8iLKOd+kqpqLDYDV1iKxZmUm77lXEZG50c8KMs3fRoOb/fYTqR5bc2C9RYK6alGHI9xEwRcZJsSVGoB1jIikMtdY3PFjvK3HMja/ewQvYqDcHaJ4WUYgxl6DD2pgXJ4sMKxQh/1HYFtygKYLOPF2efzKXWqUxZ5ru1bWzEvkWEnIy3Yhm0JJn7jXebYEKEb8Im2c2Ao8EgbdI11ATfaMmunB2miUBlZ8TmLtO6nU1UqGgXLAj8e1o8X81X/Hh+1fjej1GUxKtVjQTHBmYrVX2nVaIKY68cv2TbZ63rEtKwWt0ZjRvEO7rgLhL0TceepRMqhnPS7TemcDz3sAhUt1JP6vuaVKSIosXDJ1C1luQWgbOV9WekqyuwvGobVdVW23NNOqdrAVmfFwZREVZ6Sv0MG5UOMlvSKMnQ59zgnBQovUuqFO7bHAdEYCcZCcgvHlzB9Alji3B1F4cZHW4yTQQGLWTVed4EsrzHlI3GQq64VR0Xr0WLRWMLsxbClp28d4sZ9D6BRnORQq+MUamQerVPrGgVNt9bE/EsRfWdFxeCOdPfC6S37uEVbZa9hb10cbpj3nR6DcvBY4ZC2llBWWxfepuxlwS3ouzK7PiTh4+J2bJzC4NdeLNc8z4e+HK+loShbmNm816uwI0QbX2nkPlsKVFafHFfcE7npKK96pyrBSk31/lmyLOsg+gKEc/P7295c97j1Dbq4TwQLx4zuraHCTpHzvJchQ6jFLHaM4VWtJWOl2E+gO2rgJLGcnMt8pd2NhQn/+8etwgLK04GGreE42otV0V/bDSUCYqTZHcqyp1FoPZLtlxiIGXLZZEY5d4NOFOYliD0l4KKMiL/tzBPni+XG8zFKjqqrGOxlFXf5vkNzAHeyjVfXheCtWQXyAFOl54QErfPT6Jf8nCDm6UrPj0T6xxz7phsp5Y6ugfdyj41fLmivShSOJluFQKthYvloCJ+BcaLNB4qgjHuQXjm9blpM2wnCVsrfqgYXBo0BtH1mHoptsfKNe8K+SAE9eJlL4gHcTwhGczbjvPZ809uvsuPDi/5uH/geThzt+z59PkD98PA3Wwxi8UPUewl+0Tu/JNm1OsXD3zz+o5/mb4JX27Spgz5FJgvHlMMy7Ug0cIJzAL9e9lLxleW2GXmMfDjd89xLjMEadzY6kRzMdy9vZLnPjpJ8qDRGKuyczzQzi+TwYyWd/cH0uhxXWlz0VTrML1OqwiI+UaUqpebDH2iZNM8eOcb3e+7hUUT3ONJCi9lSBoTAHHdFIwWl4uBP373Mf8X/vt8MV63gv0/vf+eUMqSIwRRdRaUoNBNMGqZZAuuT9ghshw7/L2Xs0mRWrmHy2uzNvY+6BP9ea/fOMk1pwuwaLL5MWYXMa6wDFkWyBtPeNQb0cp/r10tq5YUORtMdgLrezxDzjjvwFryzZ506CQ4yhWG5QRaVVUJLwv28QTOEV9dU4IjDwET9D28BFdiT4RWPDfCGXYzkRZJFmYXYNAq75ajq//0UyGfITzoIl0cKRt2fuFFLxvIcdczT57lrsdOluHOEB4K+YUhXmdKl+mfjziXmcaOvFj5zGsodwH3M3mY8bCpcJ0kaHCjVG3zyeJmoW6mQfwS7ezJXkS0igU/CanbKdzYlHXz7x6ku5O9HIJQmiBTXeT9Y6G7F9P65cq1bgDUgoGaqQfpMrqleh5b6dbkLAs2F9y7E84Y4JriA3bOhGMkd5Y4CG7an4VT5s+GdPSkrrA8kyDSjlagcLNlHgPRldalNi5TOgk4OXoalBwkmSs0/kH1Tq3V8HDO7VnbWLDnibxM63MvWeadwh5LJ1yuuDNY9WarFTu7SAyVglVYkZXiSUUqOAOdVFKlmy6JKNZilogZxydJtYEmPCXXUtY/FfYZM/Yyg3fq3ag8oixJYYVkNR5JFSgpdg349cOyq8UgSQ7FG1AEqKZTp+p4nnMvqtbBJcboiVE8/AAZe6sNLV8oQwZbMEEVYXsRNTAn2R9qV02ERIRn42ahHQj8Lwi/s4A/W+Zrg50DufNM+47RrUmcK6YFQv4Cbly5eTYqPNUW4fNpkNMKV0tp42RSoX+/4C4r96OiTcgZMy6YmARevn0+VVFY/YytQnJzsLgFvIrMgG3e227sSEPh9MoJhKd+ni36B2b3FLacLx57cjK+Ou5mlk6UJLey5rv79b63/rZSKraQN1UNB/lWxKKWQ03YIF0n8mKIRycc9kadUOEWK0F4U1Gve8OSZTE4Q1FfQoyhBEcavMLC9P3eXzDnkeIdplNrllESk3w9UHqv1JWydlyyJGMCO5UO6Hbv2nq2StfVkNTySETPFPLl5d/+LKf1ZfRcQsePHl4ypkBnEzu38HY6kJcKVTRr4SCqf3qnHd323ArGFVIJAuXf8NzlWuQ9/JRbIlAshHMNYgzFBYrzjK6X+/JSeDBJ9/VRisl1Hy9O5nS4ZLKTjnANfFaOuSRm4VzWsXMGO2sBKNPg3qWz7RkBgrJQa6h41TWkhUB6rQoQromfGwW1YApElUud34oF22mQotfaqisYRd+U0YkN1CQd8LSXroMB4mOQwPTBEo6yN1UUlteunVUP5+wtLnhko9bXooRA7SraXvbzctlAv20NvqVb1d8V5T3S/KMrzLyKQxYrBbrsbIPO18JHDlZqldUbWWHKxRop+hrD8GbE3V+Iz/eMr3uZG+cMWTq0y7XDHxPDFxNp57l8FEQkUIXWlr3ECyYK6mor8LhcCWwxd5qMnR3/9uef8mf7F/zOqy/53evP+cX4jD97fMkUPdMinqKtYKMLy4TEp5+8Z/CR09wxR8c8rzoXy7NMnA3+ZFW7oxYWaUGyP4mlVl2X0zOxdWS2nB+uOAOlk44WkxWhzFgLluBUcbZYCdhNkvfc8oRr0ToHoX5hdU9DEgp/kYJ0dxSYtz8n6YR3UlR2UyY86v4TLGlYBdfsUti9laB/embVVQTcWa4lZXke+eLIrnCOhrlf9++SrYgC1oYlNNXcFJ3MfVOwgxR10l2He3B0MyxXkKIUfK2eJ/37hWIN4zdvibGH7+sH/aUTD88G5ltHPBTm9wPlduI//0v/HmsK/9ef/A3C0XD5OPPiL73jeOmZf37AzEbiwCKJ5vHr0v17+UeR4uDxG57lSq5lvtHzVmHx0zPtXiZDed8xvLEcPsvkYDh9zRB3hXSQBNUfDGkQpFjcywPLndjtxR1MzzNViLUYiLcJ+kRWleFhmPnaswfhtr55xjhWulohv+m5+pE0vX5y+ZQfHT4i3ExcH0a+fvPAf/HJH/N2OfCP3G9zngLXu4ldEM7oee+pYlMY+J9+/d/yv7r9b/jfLP9L/uz7v6UPUe4xPFjsYphvMstHC/bRE44WP8L+i4S/FN7+nifeAo+B6QsRO3g8SFVzuJN10r03+FMn3WkVP6xIOopAtnNXmF4msOAfxPIw3FvyZYf1YtdGAf+gxT8tJtkkHOm0K1y+FqHL2CHRd5Hp2GM+CwRg/ChzcQV3FTnPgcfTQP5qAF8IL0acz4wPPebiRNdHu61FCzlf/uAlX/7wJcPHJ/7qx5/zdjzwT77/PUqyXD07c3u4MH61w5+AbIhXhlJEO6eYwvXHR779/D1//PNP6P80tAZpsTC9yuSbiH8TOPxMn82v8frNO7lbyw+QikrdWAtPDozcA8aQutKgZcZsKgHOUPrwtEqMvtfGg/LJZ7fuiUzmxj/U7kQVAaJWmjfXKpuu1SRXviGCGrLwUlcTIT3sKww3rVW0KqyxLJZxDhznnsEtnJaOefLECo/V1nqr7KowTk6bAFOreCUbTWwMuVpU1PzGmrWEUeTzMao+ivC7qkgFyDne+A/KgZDPYhWkqcHP5pnVRBi04j9nCdKn3A5oqWqb9UA3CCy3IM9Qg9+ChU4q1WaWDLBaJFQ4r3yOJhtJGsEmKkigCDSh+LV7YhZLuTiSL9V6lxytdh1NI+nXJLeYgmFNbNHAtPLRakXRFhUYypknlhP1lSunHJn3FootIqCQJSCSjgorST5YrJPgpzRVmw8S1l+1YJuYiy6UX/XS339ipwVPBG5WpRvTktmsQmAV4lM5iw3mVX+l1LGS5xMnSzSeSQMfZzPOil9rik5EYCoaoL5V1nBZgw/pDBRFWej+YbbzsTwVByk0bqubpNiRvXT7s873Jjy0iccqt7eqX1d4ZhUZap04HbPakYE1yTVxI9YFkrDV5/WruNXVzmnzfEQJdVO00Hldg+LqcYoxxI2UPsjhUW2bWrGtvpWqhJIMxPremnxtbGHQZ1jnAGyC3w8E1kws6wcUWsJGqnt0LURIUaxYi503iYFBVI4VySHKy7rZ1KLMZj6X7d/bP5uCwS+9KuRZkxhT72PD86uUjq2VzzbwFaiewr63+14ds8kyB89j1xPcgd5F9n7mtHTi3V7HtV5S3T/rXP7gTBS0UBEdidr5Kev1tPfRfVVg8pBH4W7X7kaFsFa7LoFar/McHYomJJXUxs+w6eRvtBRqUcfo3qdFi6oWD8hZ5Whz3mzmjNmcy80CrN23DIebld+/gZGuYk1WUExaTCHreVHARCtzvM7dInYzQFMM3675YgxGCyC1+ybjJmgrNuuKvgMtuhRDW3PFFqhBZjbr+cgqNFS7uUAbx5UTbci6AZiCFB/VZ8ekShPQ2Kd2xN2a7EiS/BSib6IWIvQei7eUTtA51dKnoq7EMUKeZ17MOhYaq9QOai2opNkxGuF3H/wL3k4HTnPHklTdOooCa4vRbHmy7eUiFk/rxa7vvRV5evJ9lL5WaAUoN0riWc9hgBSLrLWKVKhimRvedWE9I+rXy3Z9AU04sa6huhZSfZYisFTnrF0ypdjGM6eIboVxhmxsKwJtEUENomrkJms85DQRT8ER0XmW19+hcRsV5fTk4KbZteRSqRQ1Jqh7pxZynG1ju41xU3T4eq9R1kxKllPs8TY1HjoFRkVCFV+o7pQUyFN99qzOIxoTFNVzqUXlJp6KnL8oR7TaSzXkyyQ5gJ3X+1+fBasHulEkjHYocaWJPZaMWIhVW0w2+26RfbYW+Nq9qEDp49zzi+kZD7FnijLP5+hwNgsaTc9cDLgh0dtFjkK9OSlgPc0L2llc1r26qvmbiDz3er5gcCe55oogoz6LTDsjsgfTyddzJ8WDUnUfajyVpDgpcHBtBIziLSuFL+l6tzmgwlUlWhY8zLbpr+SAKGVPjkezIx0DQRFFOVtskaJXvXfdGsla3K2ewjkbERFU8cuSBXnZ5mUvWhZFkX0smg9lQcQaU5og6RqDGkEu6RjabVz2F7x+8yTXWYyXTqspUM7SLXVn22wr/CjZ+HxTDzurHdPKwzOU2RD3gfSN5xpcqqpmQbieak9hSoWEGVhUhCQ44se3VHsJoInxlNqJ3cDo6iawXDmm63UBY+Dyyj+BsdUqfRtsoHuAMGWBK19kUi9f9lweAz+77vlyd8V07PFvAj5JkmmyTNTphUxcfzaSpJ13RAfcLiIKdQmYs/AwLh9JB61/D/5RPjx1AAY3V9Em2Yi7o1xbhTClYBhfWHKd3LluUlD5SjXgkZuj3aNw9mjJhp3lYLZzZnhcwEC8CnK4BkPceQ2MaOJhdlwozgl/Z3CkncemjH8LZl4wS8JfpEOQBsm8uvtIsbAcOnKQTbN7LFr9tSIzrz584dFg3ymUuQ8C8dNnWLl1uSmnyKZQAHMSDpu/iNG2rRuwNfSPiXDO+LN06Nj65JYCMVKKBIZmsk2opXKqTV9UIKDyOesfR++AHFTQKeHvxl/J4QQoYe14YYwKUgk/XToQm2QhZXl01lJ6hfst+sCDpRjbxHWyV968U46tg/nato2xdl7CZZMYJun0dw+VA+HJwTMfAtNQI0moMHjbEiwNEFUEIasAlRShNHutXWWHNMln+exwlg4usNowReGAm1jwF4u/OGx0Lemq3KJi5XCrau3dY1kF0qrvYbVtUrNG04pWa7Aqwbx8Ljmvnc9thFcLcU7oEAK3XeS57KwiBwrkTHFdQ5L4c9K9RSxPTJaJ64J8TRKzDRROoZTSeVfYknbfiwq12VOd4LotT6YJC7Xk1MtJ78+KZpmjKHpvrFXs4xlXZkgZN99gB8mc8iwFJKFZGMyVYXohAYs/CZXCX1CIn8E9LhRjWK6CTMX3o3TW/AodRgtKNUktwZFv9jJ/50W634fhSedLurV6kKslS+5dC4pS2ARJNcjZJLm2iuY12kDtQug55GRuDp97Uu+4ex54uNphnegCLLPHXNyq7qqBmwTsBfzaiaRo4U1tnNK+UIJU1E1UEbCmR1D3jEz1XPWjpQ+G+N40JV/hItPOOUA5c8rrrYGungMmS6dKOpxZYfgrzLy+T+XLuVGh+SljRx3fwQvdQgUjm8iYMdg5wZLJncPos63XUVWl+zuBdqaudpVN6zjPt+LIUHxp4nRMQJEOtTg1KO8OMG+Fc+4UqkqRZ1Dq31kSKDcLMif2EmuE4CllDXfO37hmSIIkKh7KxQlkeUiUAeZOzmCr+g1G9QBsNAxvCv4iFJfuMa2FGitWUBgIjwl3Fp5tLQQYFR0sfZCubswrbzdIrDLfdvC8a5BmG7PQUErBdBZrC/ON4/yRlzmh41ntWyQYlnVf9S26B9n//HvpWE7PxP4QY4hnxzJZfnT8iB/Z19gu0e8WcjbM546yWPx7L5Yug3SKyiICd51PjHPQjqTB7CPl7An30mGqnVKgQQ6LkcC/v0+4qWgzwYqYpdrEVCRR6is6SrfbKFxNk9fvydzVfeeknGSl4mQtcIRzYfdO1mTqVnsgP4ow4nQthVl/yZgp488RO0by4IkH4UiH9yNmScSbAXb1fK7rTzZmN8l8TDvl+a4HBXE05OCVFiOczniQG5MmhMBHk8ajeEE89f2Cd5kHN7Q9xaan+/p8sGQf8OdMdzdLjKAv92c7rt7D8D5z/tgS95ZsOv7pT7/TuvTjK0GwzP/mlnQo+K+d6To5E0qB6c9u2H8OxRvuvyNEajfKnhMH8YTt7grXP4ukwRJ3Dg4iehSOhbiHx29rp/siQmG7N8rzPQjcue5t1Y1luZZCk8nSqEjXSag+1RboFDBny9R3/PgSJCk6BaGyVQupXeL81xaMarq0382Gn371nB/96CMplk0SI72/7njYRdmzLbgh8smLB276kSkH/un4W7y97Gl6NdcRbCGWQBk133knaKO4r8UHLcAsYC+2QedthOELoS+Gx0K4FKZbw3wj3Nv5hdABclgh2PkmUnU4ShbkpEk0NE8V6BJ0payT+dZw/z27UeAGcM3rvVIcw1HPwihz075xmNQxzIL+jDvDqeuY9g7bJ9yu6oOA94mb/Yg1hffHPcvs8T7zi+MNMVn6/UKKluluYJ4t+MLl2zPhsPDbH71jSY6ffPaCcvZczh0/Ns/JxXD+RsROlu69oFV3Xxn40uMvIriXNkDLv+j1/xsLoY0CbEsIo1H7BFplI3cAsrE0v1CFMdfOY3UeF5Uw2eRNzMrvqlGxVFqqAm3pPLlCQWp2rzA4sdgx6+GvwU7lKlVeAMg1xgNPzIeFp/X0/0+q8AmFpApEJVrPXAzm5GTCtcqNBuNeAwDVYLHa7VuuTONjmMUoTEEDJ2pnclOVkqFUuxdaoNgeSRBuTlLunckaAPa0qtmTbkRZ/zxJCKoattGkRwMf2zuyc41DQbVjYVN5sYWiXKTcWUoUbaSqumoWScSyd7Iwx6jf06mQJYBrPplFEyRNZN0I1hpSrkE8Wk2qfzYHTa3Ums17LyikbX3mUnXLT5MZ5BqKijrV9y5s55pUuJtlVlGIjVXFycHKZ0XTOoPNK7R2BmvgWhPYikawdv3ah6/6HhZZg1so8/ZndAGIgjWtA1A8TVFUqq5FOEV61tb5YGeZh+5iWgctb71W1GfYKMTHUNdGXauGkrULUMxa0S6sFcmsiXbtnlqz4b5VATqB/zpnVOXQrP7OTiryrQKqa7N1WzaJbNH5DDTV021Hpj4f4dPSgtRm2bV96T5j6li352LW5/Ok+5PFRmmxDfrmtPufR4N18pwaN6l1YWWsq4Ji2hXSZq61gF/HsnUX6zSoiTK0+yUlStrcdJKkpcQoieBmrwF5/7TpNthFk6ko9+qMVuyhURhqV/dJcabxdtGkS75XghNuYq6Ve/OBr27lP6/Pb9vJWzudNehXDqIG2PWXG2e8jtGm+1T3cznwnUgZ+CxdjmilwBh/xVrcvuq4qxZCRXWUtO7jFdIrQVNNNmX+V65mmcEuwoNb4opiWP14TfPgbXoXyPxPlfe5qFjHJAlsLeA0iokBq4W2lpBVkTy00FM75vq1ppOR5NAwzkhBTbuVZjMGfsqUKvSnQWgOsv+4QZ9TMdhtlaZoZ06TXJyglOxknrx3rZe1uV2LJwn1oa5J09P9M+0sabZPn5NB6BRW0BMlG7Jdgz8pkqho5QJMRZONshbX3RprfFicb1MjS8W5ndl6xpYMeWeb6F2F5DcNjrI+22Uv11UtWGrRsgRBDBhb5zqtOOYWKXTEnYhqFVewyiU3ik5IByvCO8WI1WBUbYNJGt9J9+1FLctStE0/QM57PZuXugcphLsebUXuS3x0E8U6ipV916lYT+rkb9EjWe+hrk1pGMiDr3HYh5zarI+7Csv5s877pCKGsyCDsnetqVFfZkkimOkM2XeSGGQpMNuYyZvGwFbjoBaGhc+r61n3fSlYSDxjZ+2Iqu1yRdql3pAHKwmaLSIwaNbu4ZN9pf5XE90UwLl6zq37eTiKorQIhWpsFQ3TqdNupXTU/NFKouNgGBauh6l16UcvY50dLMoHFZoN2CBDU+HeEleJZY3QFKQQEw9C0ak2X91jZvflBB/1zNcSH9jFSDjk9OhUrYJiCjYkSQ0y6m6gvqogzxBaF9GgaNJd5nA9Phm/lEU/J42+JaRVgHXxstfXiWpN4aYfedZdeEwDP5tfMC1ez5iC7USRfPFe/q+UrvpMKoqkqavHdR3IOU4rlkljybQCPa6AV9h3lE6pH6KEWotsdI2Go0m0myT5axapOu/iQbQXwlnPg5FV3LXGwTPy2bOMox91ri7V71r23hQs9AnnCs5lOh/pfOL5IOK6c/ScNRY+T6If4JyIaBn15I03CbdLDLuZ5/2ZOXl+qntHXqw4BmQDQxbQQ23CTEoLWWiIo1/n9ZsnubqgikJu7CzQgngrmd1yLQdE6Qqly1LR3knVIzzKZjjfONwkhsS7N1EO7CW3xZqDExjsVoAq0zon1lnKRZPsJT89UGpH11lSL0lZ7qr4gwZGrUqulVCtKMtGa1rlzNTOSIFVqEphkCqbPl970t5hJ5koT+CTEUCgA7UyLRcJRCPQ5oskxzX4Msk0foKbhD/q5oI/pdZpAw2KvdgRWPXj85Mshup5VZxCsAtNeKEqx4rirGkdWfn8QuvwqaJpvBXRIZML4RzhsbRA1VahJmMou7Ae4EvCH1lhvoC9LJg5kofQDsE0COfVj4X+PU+S3boBp26F3NaXHKaaULSDx8Bc8O9V8U4DoTxk4otIcV7GeTYEHZ/sxQoCOsxyIMfNB5W8QSyoT3JADMw1yW0HpZHnllQQxWTDfOPo7wrD+0QOlnjdt6LBFhZtFKEga8o1Xidzkq5tUsGRoZNTPCY9gLXoYy15F6iCMKZ2JBMQ1vmdBpXcH2QuNrEEDd5tFF5gLZB0x0IKsl5ykMOqIR30IK/JhNkUt0DesyidIO0zJWSMCua4eQOt1fcq1pB7RxUAY5vQ1LU0Z7q7QvFW7sVpBlj/0s+vSW0NGOveAoj6Z+0m1mKDrkdbO7hLWgP+lJ9CNeveF5M8Nx1/AOZFvqbCTiZn3CWuyQGy+cscV7j/bFqQVOFdFXZbA72a4MnnGkrc7EtAckWTzBUyJwWi2ikza1BXCmWaIa4l0dJ1otidtXP+RS8BpVdbg2cTzmfi6BviZLnRPd4LNzR7Rxwk4XFLgRlZ9zFJF6t257UraC+LJEu6VwvMuRZNc4OT1zE3Ck2rhU3h1xZNqA3J6fz2WrTs6s3RkBY2iT6CiAeuiqvWacdY98n+nYH3XuBVO5lL4d40ODBF11TQ/b0E6UoOWbq657XY6WYNLLRgaZLs47J25Nm7c8QuSUVCZDzszjWtgA8F4moAZfL6bxknCLHy2TIVelx95Y2er66q/T5RX5dOmLFW1sAoYpBGofrFOcqgqJE5UuF1tiJ/ahFPk+7l2pOGTcKl1+dyobuTOEA6kOZJsioKp1qIXHTs6tx3SCJqDEaDweIkAfUXTdz0fHNzln1yg8zp3y/0Y8KMkf6TDv/gyEORLlDIuJCxLlOGKMH+xWPfhJbQ5gDL3rbn5kfZX9wltwJM9hajtksi7i/FsNIJZzcZKEY4zVE5tW7McrZvUFZpkMB6vnaSCDnh2sc9jC814ZMlL5DGfv2/mQ12lrhgdoZlL0iR4S3K19b4ZyjSAX5wlNMAxRA2RfC4l3/4kyHPjsX2LL6sD2QR8Z4aB6VO+K8pmBaYurnQPeZWNI87gWWLSFoR9I5RfrIXJegGj9WAPSmcsr+X51qLnG4phEdRAY87u3oaR/ms5cpSEWxW1e5zEATK/k2S+dhU4i1lCGDVuhGItzu4GWS/mhKls8ReEmQ/FfIGQj1beTYtGUySaLYaji41/7gWTKszg5vl+eRezoHzQ0exhXAvdnjS4abtIy5LIhLOguqzSyLXNQ1N6PTywkkH//kCvmCdVKLLIZJ2hrS3LNeWfEhcu0TKlrd3V8TJYQ2cPzWbM5VG2RPerDSuUie+pli579wJXzcOtCLRfFuIB+geLG4MnD6x3P8lea/+vdgBTS8z6So/iR/szwddz5LITq8S5VsXyuwwR0kyu9dn+i7y+PMbdp95Uuc434UGcy62wJBxVbzuWcSeHDc/tbixcPqmY3qBwIH7zHIJ/PEPv4axhX+xW+i6yOXck14kzC7y/PpMzpaHz3eEe/skhqkIhsdvWYq1TUDLaucVA+dPZG5e/9DQPYgVYV1nw8+Fj1pFIy+vPVOfYbF0XwkCLHdy1teiLEWKX7Lw19xGVIlrwwi6SIPsP4H8Rth/VmMwGhJqfC1nqZ0N5t5h3jlyhulZZnl94WwK7+4Pcoy4jDEwvh8Ib72Iib0QX8ZiivCwH+Q9TkPPP3+/b/Bzs0uUiyO/F/SXV9phOMq1yxlcCwWGNH3YbfjVr9/cJ1f5s1irVREDAcx+EfuWqsCllZGcLXlnJUDzXiBJB4EBdXewe1sXkASYJTiFJz+9IWORBHuJ4Cx23hy6lQ9aCsY7OZSV51K8VH+aWqRZK6GS5NbKej1sC2XSClFahWlqQF99v7pHOdzcaIgH0zaDWtWBtTKNkWBrWz0kGfIiMDh3qWVPNKEGekn+xMIn40chrrZDf3BSvdQOqUWrMEaqeO5SvVDN00B70g5Z7WKZCi0y7ZCtSUB2ljTIcwiPGoxdxCZIEoIIzpFeXpN6h51Tqyy6UZ9HKRJQzYt0tACzFxXs1EuAa5dCV5NarWr7i3Rf3ESD2yZF8NRxtlvOFfJ/V+N3PWDGHYTrmSUZcudXfL/ygeNOizWHjrSshwW5QLDiCV1Y1eH2mcZbtAVcwfpMSZbsZDOgOOJeNr7+Xu9r7xU2K4F8S7JKwSzImlLRErMkWKIWCTLYOp8tNmdJEEoREaReBG4anLE+21LapicCOTR/yHjITdDLOJl4Vjm41W5GoKiyLvJm1xComHx9uapQMPl6XUeVg1IqDxhV/lWYlm1JrgSKKNzUIoHHr+Jn2iVjJ1XlNgHjaEUZkzQAMoog0GS8zuXazaqFHBN1DFsAXlaF69Zp16JbKev+UlWJK39b1X1FDEkghqXXYkQpq7exdpbKLEG306Sudh1EWbioIjbt2W15OsVpMUG7Y9u9pu5jUvBRnqryjDJoUUmuqcRIiSu8jeApJkjRKkJ3Z4m7wvIsgc88e3bi5eHM5w/XHM1OH0YhR8syB+2mGqUbGPrHrFyyvHYBnaWqLrexjoliO9aHIGNEzFLAqrynCpet+xRahNvuYdBgm3EvwXtFFxRZjlq4NK1jZJWL7BYa/82y+oLHnWk0BPGpLA3uJd9D+KOqBbAAeZdxF0nibJJKdC04Vb6WU/SKtfI83GVpNnoApZeim3WGrLY89X6bjZKFNKh/Zc1Zk3TLKj2CrHoT3uJyWsdySS1JFdV1oUaQFZ1gjPjL1vmfM+x6sg1rBzwlUE9UeU9NvFUpO+1cE+OsSW4tElRP8RxWzmuFnscdK90mrvxYmedStLGmqtPL19wsQTXFKO2irAWrTTHRP8zYS8bMC+F4gz97EpD3sj59SHQhquZA4d4O5HdhpUVoYTwFg28dBtl3mrCbNRTMWlzyphUJiyovV1RbUuitPxX8SWHOKZM7z3LbKS1IEr+6L1eF1NKVxl3OQ4Y+Y3zG+UyaHenLnnyB0kuA6OZCd68JtBb3p+eGxapqevWH13tNu0LuZZ34iyHHojZhheLl/DOTdGkEIVD0eqX7W+Gabil0d7MkgreB1Nd9ANyYCF8ddY8+UDqLXbyMVUsEDemZoBrCKdO/ncUSshe0SBMINEGS62WNaeIge6m/ZNyUZb10BjdnuofYEICmIM9N1XXtnCjOEg9CYwtqSZVceCJC1fjwWpRMg4r9KcLGnwvN+qg3QvfMdXzlGbhRfl7g+ZUnrHvcJA0haXgUQQCOspfbJDZubhK1f7NNcpciSewAy3XBXy3NjQLADQvWFtLgSAdLCIngROU/HgP2KIn8/FIKb+HRtti2UvDidSb3YgFko8FdVhGqeKAprRcH8Uo845eDQKenZ4bwjSPTqcO87WWMrjLDywvz5Mmjw0ye4Z1pFpYmwfzC8LWX97w97hnvrgH46PbI167u+a9/cU3/VufLUSHwnewP83NDMgXjCu56IS+W3ZtMfxdZbjopkJCFa7xYwnsRPEt9x8UX0lUi3E70w8Kr/ZlLDBy1QVBfdpHnnQM8fgfidcKdBMJvZy0EdzB+mqDLxM+7VoxJQxaR2q9EZLYK2qXOMb2WNbb/QpAIl48M8UqLeZMUReKwxgkV4dK67npmPXVZqBQgiSX2byJ2ysQrKVTHnWW+kWuzi8GM0N1Ls+0UHfOtE87tSdSlzc1M6CPuwXH4qQhLnXovatcGsY+8twxvZR0sjz2pL8SPZ8IQSXeB/u2a69lEs/+Ke8NykMQ+d4U0beLzv+D1m6srX+0oQycwMzYCKmdPcgXTJeUWRG72I3N0nC49KTrSLFUOgeqtHQZRPbaNY1u8AJnQDoBdMiUXTBckmAx+Deq91YS7dsMUAld9GDUwqeqS4mdl2oQwUeBQMRTpOl0sfo2xpBuowXoNWLYYePHALE8S2HawR1D1iAZfq4dMeXCUi8WdtXOcWTtiQIXherUzsZeo+H7T+LI1AKycw5qQ20ngbxgoo3Z4vNUDT36vFgBAP1P50A3CmzKudrxg7WJZC536XTrpxJo54uLTrpf88CZZqXxGsx6o2LXwUAsIbtaJXGQcl4OFrjRjefE+Zt3IFL5Rx711cfTGilfD7z4z3xZcrxvzRBNwCY8F//YEG785QgCjViepYCcUlmwoNmM6CSxCF9n1CzFbpl74SmmxGAzLwTA+d8I/OmWFmvs2vuLDWtYxiSpYsBHVMRXvkgqm+iW08ZR/2yWJ5dVGjCJvJnETyKloPQsllJaIu8r5tNJRbCJMRTZeCTLXTq6NhbKsQWyDGXaQjBzoSFOoWQHJgaUdrpFVICpLZ1Vgy5sOt0LIrfJlqmq6yQU/Jqqqb7OtmWW+22Rb4gUStNgpruNW31shhGtxID+du1u4o9UJ6pwkbCmv3dDtHK9d3SyJmoi5SsEMY0SEqL2/BvfGUnLBYyhz2SQGa3emohnkuaydPPR5FA0+ajegentykfktCYXwiO0HME4zTpgUIUb85TmmeWpLN36Onil6nu8v3O5GUhGl7WnxXE6CwzVF1lRZVoh46TyUXnxvvaEUI+gcV2DoMDmv1iudpzj3ZP/IgxeV/Kr8HQvdcYFSVPVUO8CbZKp1BA2UoZA7CbDMLJ9fuz15XPd0kLnb32/3rbp3yDh2jzI/Y+UMZrGDym4NXMvJkCeHv6wFo63arQT+ipDR6QSyL7e1nxIlu5Yc2VRk3Tcrq7rX6xps61KKJFUAzE6JigMsvjS9iwr/xur7lFxBUtox3xRzrNmCids5IJBvq+8j81+uyZB7UXknF1EUz3aFb9Ztv2zG15o210s28rEJkhYPKrSwaUtQtJhTZB0scvamnQFTWiEjOysxwoaTizeUfQ9dkG7cKGsyThJr2OvcfO97J8nuFy86iVmCE+Xyi3RQJIiXTo7rpTvopqxw3I0miCZAdsmYOSsPuyqSy4D4MYlyte4l1giSxxhLd8ziw25rcUZtphTSXbwWWo2orcfoYRFF1bkWbnTra37wCgd2FyQuyWvhvm05Sc7YKpBXKQDFGXJvZE7VwkZcEQuVKlK1FuxShF/Peg1mU4TN+17WsF9tekxE0Iq2nkNoLCBon9Rb2cuWglOf+NrZdIsUeiTOUmSIHiluyusYeAsObMoChzVWImO3EdXUpoi8TyfF003ReBt3mCSaITW5f9LhSwhlYVuP32w1T+ghxTR6W7FF9QX0Waeyar3UZ6Eiq2UjBBYHg9MYyM2G6X1P8Rm7j2BguRuwoyXvEvYQcT5z6Gam6DGjpXuwLNeZNKitnd3Az+u0rWtZxzYNkPQeTNGCq55N/TuHUbXt6hF9frvDXqzaWcLwuSc+XEFXoM+UUDh/KnDr/q2RgvsMv3h7S5pcO77uLoPQHuaKBtJ9wtTxN/RfOfjKMT/PuK+dSUPi8qoj9UE65AXc2cJoEXExefPcZykguUKcPDlbfsENyyJIHX+q+00t1Ml57i5Adk0IqrodpMFwmbXw7yWurcrjxUlChzVkhRYXC+4iibIbS4MnFxULnW9XBAVIIuqm0ihpW/Rppbpsm24VEXP8xGOyPMNaqDKas2znMoBZEB50NHT3EkzOLrAYmWtuKsQrg7mdCSGxfLHDn2QOTc+F+5t20t3t9gtDv/BwFVjmsDZPNkX6NMhYYViVnX+N12+c5KbnV5gwtODQXeqB5MTG5gbMThLc33/5GY+x58cPzxnnwEMRyFk5esg1yFPoau9WPoerYjmyefpzkg1p8GQG7Xg97fQWaIlUTcAbZDEVskUPI62YKSSweqYt18D1QrKe8iDG3JU7mHo50N1U6EbZpCWAKU+4mLWDu4XdAnCUXS0OhvFVtQeSHWNNLKshtnbIOoXkPMwSvJwkqM67IJ3sZjIvgWEpDncRWEM4R9w5tsAJa0mHToMhSXLT4GUDL2via6K8l52TCIwAThOu3EmAT7Ay/nXgc8Y+jtiYxPamWqvUjn/1fH3CN12Ds+zXQ9yPmfAgECQ7S8Bw+aRnvrLa1Zbu9LKT35tvVN04IZ2LAeJVeRLsml1k6BbylWHKsMwWjG/ke3eBfSyUH/+MNK1JrtkNmGQpKUsn/SKH3qKRnx8WhmHh5eHM1w/3zNnxdjxwXgKfL8+JxmGeC9/Knw07oxwkZzDJ4i8yvhYwixAxzby0BLcWaeq8NotK9ALN61R3e3upok0evCXtWBU4dX5tOxLFFkpfKEESALH0kUrkolwir4no8E4qxWkn0DmjcKni6rzXYFw7XJUSYFLN+XS+K19H/H3XrnHthrgxNoglIB2nmNbAu+8o1z0UmkhVm//V5keT4WKMJFdWhHKs2p+0faF2EjslNmnnVmRq13EVSsaGPzp0FGsxxzPlKBZmxlpJfoeuPTOWKIW37TWCqNl6Wbt2tk2YKjtBbZgiIiq10CDVXulUZScbfhVXqagGORBVIOYqki6OYlehpNrpMsmSh4ANHrPB/5fHM/k0kaeJ8N1PsDGoqqnw3ObZcekCf+XFl/zN5/+e+7Tj++ePeDsd+MOxY3FSabKzaZweG4sgFzoRvMhhs1fngvPmCSolNy5vxh1nTCrEQ2C5csrly9iYcJ+9E07xN1+zDBtFWlPndQ3CxEuxvx1ZJk+56wQ9vZcgwY1Gkgf9dbcUhncRO2fiwSmf3rR9efdVxC6Z8yeBuLMKO9aikAqsuVGLdVqAcNPqubnCyHPju2LFmi13DoLDPU6YacH0QSxNoFFU6j2apbTij6jUG/J+tdoyRVE9x1ng550WA6oGgK4PQNaWitrZmqhWcS5NvPV25FWRD1asH0or6NAKFunQyXNcMu4Y8ZrwCaJIvXf13JWHptxWTXqr4mjq5PyrY5m9+m2CdDH7JKruowT587XR4qU8r9xZ6cyxWgilzmF832KE8CCcurSzxGzwLvNyd+ZZd+ZFd+Z+v8PbzGXxnF72LItn/qqnfyP2IQ1urgle/2ggC4Q+7XRs9Jn4S8Y9zGI11As01yRZ++44Yx/Ocl1OAm23qHjbY9K14FluvIonSjd4eimWhHjhcZbFYs6ieh4PhbgvhEflXRoaPD8HQbZ1jwUeWbnqmeYdv1zJZxjdo0XvwLTnUIKheS8v0qkymfa1cBELQpMEDQY1FtK1PCVwhuV5hWbRNBNclOJS9pLsulnROw7i3qnehexPbhYbSn9K0tmc5b1z51iuvCY7sq/aKWOnSO49822QOXgBi/B0s4qoNU5wzaR2jtzrmeJlrxYxR5qWiZth92ZboNygRYyh6UboidAoP9BilVoMSk6KF6Kqq3AUA3kxuFH2jNgbQifK43JGrcH/cgU4SU7cBXY/c8S9ZfmWQHZ3P/cMXxWO3/JwMzN0C693R45Lz5dHy+4L1dDZRzJSaKyFpg/1YUyWPTReZ3J19dhoybgRDj+TWDl7idv8BfY/8crplaLG7fel4H38muX0DchXiVffvqMUw7vvv6B7J9Z7+Uc7jELtMfD4fs/JD0Il81pk38kc9mrtdPissHsTeftXA3w7wjWcvhmYTpJ0ifWWWelxg7xPPiS6m4n5HODoyQaOjwEzG27fwXAnXsX+kpmvLadPBXbe3cuEtoq66o6F/RcLy7Xj+C1L7DOpg+nGNnRn8YX5Vop1la9dHIRHi7uo5dUisHyTJREdX6tFVy/Us/0XsHuTG2ov9oblZl2zORQVaDWtEFWcYb6t1I9CcUVol+dKt6EhH0Hpk+8cbjYMX6GJtKiI9ydDd8pMLw3f/Og9g1/4/k++xfCVYXxVGF+LaBchY0Pm1e2R624iZcvJFZgc7lEC1vxC0SJLLZ7JeZ0u6zz/i16/OSfXQFXJtIt4J6YCuUe6Fq2xUbAmYyk4I7LoAOS16mcKyt1x6mVL22yeCAPUBKwGqpuOyDbZbV3QaosQJdFy3kC2uGBI1ay+8VDrZ+hBkdYub1aum8hZa5UxrUq0JqtgSFLVYVsJ56wVexmMVTxFq5NNCVU/wqo/KQUhgxfTRKYom6BiK0ZUg2+/CtqUymusUK0qkrMkjDVUpU2p7ttGWBc+Z273xQbqVce21DHOuXUWqLDEnBHJdLNep5VrkySt6DhnCcS0OitBnFT87SzJ7VZ3QeyMNKir3bkony0G0et4PLnkolM1i5hCKeucat0fPeCLMxACJntR+mw3LfcgSTe4TmBE2VhycuSc5H3rtSpE3/is3onbxLIKsBiMhZTsulaC03WxuQFrVlG12i18wiMt61xoifHmvjYV1/V+6hyUOU02T2w5tqIaHwo3yd9mnR/F4Cjb81Xm9QzYItVrHVtT5OsmrtXPWs1vHYRmI1QaHPtDVEDr9G55JVaD+1IgQbOJqT+TPhiz7XDUz6rw76zWJvVny4pkACQxMJoMVzrFVkhGsaOmiigpRHibvNfnKFYfkuwavQfYJAGl2qJo8F+MinhBpjTobQ2gmjiWpXH2avd9W/TBOkns27UkCAGLVOPtIj9Sk+ScLSkb5uw4544le4LJdDZhXWqc4FKtTTpZVE3oa9PREiSAgeXp3vLhqyh1QlSyZZxMylJAq99LhVz3Mu1G1QCz0T6Srnu9/6YEXtEpOv1aJleTVN3DpRizQbPk2o1iDeb8089tdIilQv/lHKn6Eitq6YObdobinRaI6n2VdU+oe2VbNzrPNzB82jr+AJWQ69dMm6PymU8LxTImKh643VsqzLm2fUFQJWVzJrVnplSMJNdn61JWsaE6H12RJEEKceaDILq0fb3pAOhzLtCEoqjzvs5tfaa/JCK4HeOqQt1iBXnfmCyXGLgJlr2dic5x048EF5iWQIpFlP27AlS4n2nzITvIvV2LizpfKgxc/UjaOm3FC2spu16KwimtNBPtcGIkca5nSb1H2YYMLIaSipy9Rs6BqnRfPWabICiaeFWBqnr+tXGjdWetLW0uG7t+z01GUDwKF3/yOZU+UGiq6k/mcpS5WoJt91hdMIphtXtjHT+bUDRVPZOqoJlYrJUNra0Wx+U+RY/FbNZvVgpbs42rtJBCQyPUOWoqChDanKmJr5tLqxWtz1mXjO4hEs/JwMqa1zEruj9sYk90zAFKEI518UUWSf2RgthcFZl7sdfOln26kZgEVp9JtX7Dsvp3d9JVzH2m7yLeZY5LL1ZpXjyIs69n4Comu1xJYbUmmKIPID9nVdm/bS11LrV4gdZlbTYxeo1WBcu285osaCGQBLAilCptoYmKzpa8WIJ+fg487bAXvU6lwJ2OPTlagmyF0rXVvb6Ns56pZDk/mC32YhHlY1nzcQfTrVEaS6UjwKZ2TMmyblIP03OvhRmwZ4GDL9eKLFJ0VstJoI1v6gQxUffGJrBY92GLaGcUSJ14N2ctxGBoe5usYdP20UpzaoKGbj3fWo6S1/8XD1Gt8KqTSRUJEz90h5urxSA8jD2j97rm9D0X7TDrer/MQRC08WmRprhCOSRMyPCua1TOFuf8Gq/fHK4cC1a9T/v3HfudwDJzMJQqrmRkA56zJ2MILjEnR55cE+YIjzLBTp847FLYf2Vwl6y+b5oIL3Jo+uMsokX7jrzvmm0NCmEpFeKjh6w9z/L/8wiA3Q/44LBxADw22SZJn3o5oOwM/l1YF6SFWaFpw9vCcKdJ/Tlr9U67n2oBMT/vSa98q8DaVEi9dPJS0Oq018MgS9fWT6Wp37pZeb4ZVZGF7jGt3e190EmwCa6zdALiQfie4WEWgZEqGNJ54kEEj/zDqEIwAg10RbhL2VviVaAA/jhjzwtVxRqnFfEK81TedOOMnscnAUVVRC3eSZfMW9JOqqbuOImV0LjgtSvggwSttUtsF+m6FedIV50I2xwT7iIdlvlKuDi1i167MXEn/CWpruu11A1jcoxTIM4OZhHLqIu3vlJvMR+/ws17+LF+UfnGxlrslOjvM24WCGfqYXSBEXgMC8e+JxbLFD0pW0IfiaaQRwvKEREFyTXQr9YoJjp87zBLJqQin+uFf7sNcmuRwywRchbboa56Kij3q/Pqp2jXRL4errp5mwT2bBX+rZC2WQ+dmSZaFk5rd7+Kk9l5/bcpGXsubfyKF06cq2bhtj4bmppzLf40uyJVvFzhlAjyILPCh62Vg7wU6chu5ltxTugK2+rGluccjbxfheh+CEdeImaanxR1DDTo3NNEIcP9o4jZeI/pO408kvyZZonPa5cd17poZl4k8R0CW4ElEzOdwqyrv7edsnTmgIoXFZ6tiLpUlVpYA560z3IwR8ke0m0iLQY36kGjglYlWMx+EGj3e/2IZcE+e0XZ9eTO0t0X5Vj9f3j7s55ZkiRLEDuiqra4+7fcNSIjMysrq7qqm93TDT7wgfwF/MMkQYDPAxDggORgZjjNQteSVZmVkRFxl2/zxcxUVfhwRNTMb0RlF5ANOhB5837XP3czNV1E5Bw5h2jO6T5hHhN+/3KP/17/Cn0oOKQZQZSUpJ79bnnPuX3Kwei60daoIl600fyksO81uHK1eMBjyVFgYB+PC8Kl2J7DZ1Nf3diCVaSHCcBAOxKhTUUYBMst57ssAcsjRfOYUQnSi1nvmPWHVDTxpLwLkMH7ubnHdC6yZ32VcVL0yiA3nSvKEHCOofmrayCCm05cR/1jts+OFoAJyqHbBGGWDJpjgOtIpFNm8DXnq6B/q/jNlhysyagXojwpboqwAqkFclmYKBvTgUn1urcDlggDjM7ECqKlsrhzseqfMR2aPd84oN70QFWkx4l7U5/4794L7gm6rImCt9nULiDvY5sfHqBpIKuBLgSrJkIdQcq7Wn+o+2Va0BwnawvxYoDfmxVJSx+au0MTY5kF55cB38oddmnBzc2EfZyxizMelj0+HvcoC/1ElzsWPElDpsBQXGiXlMc1vBJlccrjAMkdrYPM+z0dOTeWux717Yj+YUL6wwO0cy2NgOWOyW3pZWPHZAH6zEhYCpGZ2hmboyqGj4nWLS/UVmgWT5UxBhTI+4A8eGXAthOjqEf3prXk1FlvAGOheAGmN7QUk0I6ZppcCEmxHAJO7xJC1naeDB9nxKlgvu8x33ZwxWUEII9cd3G2n8HXJ2nvABgHTJU9wtabng+hJa1SFN1LRng4Igz9Zj8tCLki33RYDgnxUtB/YtxSdnwmriWifcAiicUZE/PMxmDyVyiK4YHrMu8jak8nhdL5vOaYdCdFdywofUDe2fPrTHfiicl+GaQJFKWz0X5vC/r7CWIBSi1UB9YcsCiQl0BWjlk0DZ9WOjjA+bgzW77T+4DpNXUKuiGj6wpefhkxv4vo31zwZ68fcFp6/P2Ht8hLRH6d8XwjQMcik1uCagBe/ioj3CyolwgsAeh53ISL4OZ3gnRSXN4J5rtNcWSTwC431DHweCRkYHiqiJPi8jpSEHOwhO8U8PSHW07ApJjfWlUgWSGvCFAF6TGR7vwRGD9VXBBweY+2v0Jpn7XccF2O/3m32UtpDZrOtEUi2mn96BGQKSDXHt3niPEj9//lhqyG468LXrqK4dsOh9/z2Wbrsy495zT7cYHze8H8upIR9IeA3feC83vF018THCMDStA/ObrKNZ73iuV9Rhkj5h8EceLZttwSkU1HWtTlvkJ74PwVe54bVb7Qss6TeU9KAbtPo8KrxRfB2veuPK9tD5jvVrHSdOL1Ta/5nrvfKMZPBaf3EaefMXF//PvXoMWnYnpLRH/3+8g+8XvS0T/nWzykCr1EyBya2nsdFb/+1Q94v3vB//PDX+P2N8D8imNWtkH7H3n96Uiuo3eFnm/pwkSt9X+YEfBSAqaSMBcaBLsUvXPlG59/QAvgwrzaCwUoxS3ad8LorQEBFbIAbhmkrsQsX1yjicFgMbGPhZtwSK6uaf2dVuWHI6di1WzrGabKm7aeqoZmWR+UzBlh6Vrg1JIDk70H0K7NJ2FsVSy1njazhKhArKYi6RYRHiz4S3AtQtX6hZmEXr0ig5VGT0uxIW2iZUUYGsr3BQoAoPVeQdaxrbX5yIonETWsVTbrHYahOO3lglVBWjUqANbnY/Q8q9K7UXwTKPIxrI6mWPCbImTjD8z3+PcRNdUS1nnnj2WTCKJL0I3CkvoYBKMnTgyS4sU+fxbUhT2Ll5JQNGAxk3IxoYPqyIShuZ5GtSRbiJoVZa8k1bLZt94q//hi/ICGBP5oyVty2RBbq6hu3+jVcTGV3vDFmJGpYIrEHuT4mNvm53TJYIlp7aznMgOxOIq5VrBb75dVdfm72FQOtaFNP+lP6698PbdFhNYBW2Cwrv+n9cPygRLt2L5U2ePv/+4/q9d/b69SOOdjXJXfPXl2JddtMr39/5t72qJNUrg3kZ4pCBIA70t3hGNZg9vGCrFnocCK4rbqLoN/eu+ua1CdBr+FIQDuCT1FpHxfbO2MS0DOAecl4fO0xy4tGCIVaAEQVYtEucSQXBcJktbzZ8W8KFRO3iKum6TnqmBWFVILmre0CPt8ARNPqg2loZ2ItaH4RxR+vydMwGbel3V9NNVk3wdsvZBWzwKE2+74vcSZwi+sloeGAvF5YrX4MRq/FKUttiUSbV1tazPbsci1sW1+xNgwBFc38+tHa8ZZND5X/HddbEcswd32iP/UenMNBW8/aQ9HVgaNoWECZXtMrYa2WJIcQFTDCpseknuhWqwHuRrKummE4Zgox8uFIGHDoaJXSO4V8+tfQHJbr/72vVVYSF4C5inhnDtMNvk7KRhChipjGpjGQ61oBVVfl9UpturXKesemKS1JnjBrvWlpmTK4FZYEIGLVPlnujBX62EO/j0rLVJ8gsH2Yet3jNYn3+43ewzjMdgG2baJ9aUl1DqAVgi9KJZNQByXdU04rZKoJVHtxgiy2KQmImAewLAAK1dfKGrzxuUUPA4w1qNGbbZrUtY5LrlAY2nnlts6uQAYkag1xtFADYmQK6q33gDr2rX4rLGjFC1xZqtVXBFne4+39ISlmkq6XWdlXOnopSaGZit7CkBk8dBfRcC9NpqGAezPLYNk86K6uMeqPrZE5oMoYl9RVDAMC8aYGaPPCTUHSF+Abn0uHHhLSg8L7u9OeMTerPCU8XFwS7zN+br5dT8H3MYQhgBv954Wg9nvShGEs/VGD5UewkZzrTlALxGOfhNF1nUft2tu39+hrUtP0IrVPqljAIRuDS6r0cWFUujUbZnXOQgAOhTEfUbeJ0O+N6hoZ/mE5Q61U+htRpkiQg5IJ+WY9hWYA+LFLep4thTfn+wcVxMjbcJShlSHQhIWbB+sPQttfsYFO8dCBR0ZfC74MvNzztZZ2OggQNFi6YaGRzsOqt1XIrOPCuoLzm+jJc5qhRHSwWtSRA0thuF6JljkzNl2/iaFdor7/oLX/YnFwIsiLx7D/PS+/uXrT0dyLwuFQvoOYS4Yv5+QbjqUPqHsBFITlkPEpxzwNwCmpcPxYQeYpHi9KZgDqHQ3CTrrC5leCeZb8to1SetpkiIo48FoNvawBFDpOEmn1ZOuCVeNHaSLDMJVUe92rRcmXhiYj6BS4jkE6B70hZulLTgmtnwo6YQmLe8Ke1IBEUURAczaYvxc+PtJkBt9gA8xnSsggu7om+9KhwH0Kuhp9JgkTWyHSccmmDovkMuE0CXEM7vPpWhDtqQosBTElzUI0iCWnIqhTraWzqEl0d636IUF9kY6TRx2CJPyqHuixDiem+q1xgCkiDrQkyx9PDIBiHFFHsHPQQp2+BjqldizBAVkrohSsdyy5yws7K3gxmH9MUZVCkXRnQAo59V204mngBK75tnF3l01CxCj2SggpwtkvqzXd7lwHiUgnGYMn3rEfUTtIvIi6B8CltzhZQn4B1P61spkryxMqkPlNZSO0vprksigPC5qCpYUWKrdgQfGZD3R2/5QF6jZ9jmXavSPYFQSTqCuKkKOKH2ASjAxBlocuQrtFs12Cn7Y0oldEMoKD3pZURnvsawxUMAjMxHhhrzeI0ShElbk1inQluxSHVKNhVEZhFufYEOwnQPmSq8ijbaKJSNcaptzgB1VVXFF47IEStQUlB0V98B9m0g0b25FswjqLLkax3UuNzGqsL63VqLw1pcu53m9F1XIaUK8LHyPrzN7pkGsgDcvMJtCInuCRrMMfSD6vyNyCjG6UA32XJV9XO7haQlATWQS1O6LJB+ADCNF584T0mlA/xItgKcwSP8hYl72mO96LK8iuljwMg+oKpinjkq3Ac0TPe8ZHBRTr08nQToF7udHFkDm2w6yT42eGKaCeF7QWiCAxu6QUNdr3RbwrP85WBtEmhiM9s+0Cyqjogy2x9ZgrTCk4zkSGzJ79VoxyMfMUUr3clc70C8VUXzv5vpIF0XNVG0Nfnl2D3kXbZ5XyNnn+VooBWAJTSBqu1yzDuTCHn3dD6h9NBugVXkbgAkS0lqLKusB+W7cPGAwmNgmqyKrivWG/nzV/hID2ygOw9rzDrTvbTZbqojPEwt5Q4SGjtZ9XSDLaWb/ZRMZBNd0zJaILIXidIm9rN7r2vyuq0VAVigUFVT3sB0zaoyY7wVxZD+blEgxwS8SgLJLCD33SSmK7si9qIxcx+EpIU8Rf3v+Gv/04TW6ruDV/oyiguPTCJzpBUqKMhOB2gkub+3vXjRx78pqiFAApvsI3Eeki6J7IkrvSswuSKYpoN7tUXcd8p7IoAtlSgGKWtA4GC0T6z7bBKBeYktem0jgwmdKBJnuCxQUrKb6aqJ0HkBjPRtKRx0RjWZZYvOp9ILuRWlBZ8mgt5lpIQsonc36Lq2Jqic27nG7Foo4r7oXaonUjnoFTfhJyBZyhotTNzkPgf4xIx3N0/bVDbSLqw5ArgjTgnRa99vlFTVlpldUcx4/AP1lQZgU/VyMxs3Pj5fc5s9ykzgfIx0D3F6weynonnkPebdOvNKH1nonRdE/A94j4cWQeLEYobdiwzHiKDuEriDELwrZ5hcbz8DwmfZMYcpNtR8A7v5hxvLzAcevI5aDUWRnYJ4TqaF/GDA+Bjwvgh/GCXNOtLYDUCuLxiFVep2+y7i8jhBR3B0u6FOx5FJaMlqT4uHf+f1YzGhxer5RPPx73kH/KM1Dt47AfKf4+B8iEc7vFeMn69u9ZdKFhWs+27waDzO+vn/GHx7ukH8/IE4EHKQSET+9Jxrrc83ZS15Mz4bSblsbyo730L0A4yfFfCs4/4K97vE5tt7UMvC659cs4MUH2oupAKdvfiLxUqB7AvbfV8y3gst5sH2P58/4ARg/dmyBu3AyOFtjuVn7ivvfk67rBYvxk6J/8r2GudHyzN5zWrPhiwT/+rzPe0P1nwV3/8C1d3kTLDZg0SVcyADxwgsU2H8HQ5et5xuG+irw+BcBz7/aYb5TLPdU5B4+BSsAWuGgB+ZX2kSk2hwKgO4zujFjGBe83nOT+afHV/gvH94hnk1PpPL+yvwTVZ2feP3pSK7T/1KgH6pRqobbgDyTuiVFcOkTnsY9yhwRP9J+IL/OPJgA5MAAvHvmJrAc+KfD9TWK0ShJBYDSGiddqvVhVAQB4pky6p6EaZBVHdJUgOuQaIheSNH1QCP2AdM91V+92umIm1RTgbUqleSNIrFX9QSmusdEK70s0BQw36eGSDsVmRXVTc+JYO2/2lDL2mEjluymsPbYVjSkVKYZcjwDMSJOCynCOxPGsUfV5OW3FX5gpaU5gjfXFSzwZKqC/YfmmchA2yMrBuB14KYfp5mImFeiExUpsRTI8Qy9XIBXd9Ahrd9rSC2saq1p7a8JpVI4CzzMyiBIx4rueUHtmWi2vgNwbsSJ1Ix8FgRvtgeTyXqJrf8DsA2wJcJW0Z5m6Dy3aa45s1SmAZgXdM8zpHZId3ze6WR0XETMOjT0mWtEWpVbgwKdsFVZ18QyLEBd1iohewopX98/AajKj/MCzva5GErChCwAlsSikhZTFUhZIZl0qpJhlGG5amdtyPimcteq1/7fVCClWPLIQBaaGh1Mo1ivraKitmfoc9qFS1yQ6IoCvaxrkYlEbVY864NQOPVy2+uqgUJFmGZIl5hYAivau0V37XNksRPQVJLb53/58rF1BNEpxl1qyfTaB23shUXXooQru/v3OWo7cQLq0BFN80UXWAUPGeYFnrmGjCroiupSlfoH3fq70fZI+nALqmzoa7IGhNX3RuCqACAuFLdkhEtGOlVTDxWUAvTPhI6WkHDuB8yp0BZOBdXmOS1EeA8eXCy37F+sHRGU7ijoj7yfvGOyEo3KGOa6WtsAhtA50hhWlHexPTCFTZBLlNTVhuPZ9lBZUSTSRhms154BAr+7WpF0fUb0qrVKdNqMk68HXx+2l0dj4/TPFL4pPX2cKSrF6ng6Mhjd9pw3dHrXwVktnuSquwUU0rUVA7SLjI+X68CF7SMZGDuIJaeuBLtSwK/Xga81ReB1eLHH9mMEWg/VYH8vSgXTq++lqKHkCplmFjb3PWoKqAOTjKig3zfQWFeNPSOAsybcAk+FiEH05FalIe4O6AIgK8cscyQAZcf5kHcReWfKul+wX0ofaDskRDt4XkibH+lMyyYcA8rHDsuuYn5LCEjPiffvRcpWjKbIE4DWq5a8wGe5eQ2yBpHC4NdbkADYXsNxqbuOgpB9YNxgtmkQLx6uBdxtgst1YO0nZfMzNcSnIWfrmHiB0ZPIJgIpK+PG2yMArDRi8Pu7E+e8ppVu7Eh1vLBIy1aquD44jx9sDXlR1scqHheE5wtk11scIdCyES+L6y00ZXQF0ikjPZ5Rhw5l37WziWu2ArkgXDKiCCnJh4TaC+YbFgf7J3u2JTcdF7eyDJfMtpb7PfKO96KBIIEnS3FivKJRgNqZDoVaXzIa8yZdtM0bf2aYWEhwdDFMpKjXItCeYlFXbppqAkDHSp/fpVy5Eox/OGL+xS3mezHEnHMgZ1K7+8eA3Q+K5Tbh+TLYY1GIFGjm2RZjRd9njF3G+8MLgihe5gGLqzg7I7NwXof3F3rKftwhPqW2PmqvwDcXxFhRLgcMn8VEjoA6KJY3BZIFuw8B/XMhEGCoPN1ItH3W2C/49e0nPJx2mI5M9L046fRb3+95U7Zn+Ht6EyWVde3kpCzSLxH9iwkwDRVhl4HHhGBWomxrVOieH55+SOhegOmtYnmdOR6L8AxfmMClE2m8cSKUronPuPSWrD5X031g28vxa1pclZ0iH7S1dAYXf6omFqfW+mNzywUP04lr0jVgakSj2TvKXXpguWGSe/iDxSLSI+/N39jE/rx44PtIPDJ2O34VcXnL4mA68bOnN4pyKBTA6ysqEpP3CQ3Em96s+2Tbt4pAlcyCV3cnfHV4wf/u9T/h43yD/9vf/TssDyN2Mwt77P0FZKuX80defzqSWy2wXAK076Ajg5G4UAwiXjj4w+eAuYxsgs/gzC1UhINVRBFoFt2SzJb82AJyyweXkVaBaGBv4MwDqxy4C7sy8NUrCn9UFdEDJKN7eeUpzoCesdJXA5qkvk8uR1VdLMG9+GSptLPoAlSrfa7RdiIFj7bJQ6tAKtC9FIS5Eq3tgl0jF1FWerSFuTakmqgGWpACs/JBMPQ0Gs01CjR1qAL2mpw2M8OoityMAe9/lGJomCPA2z+XbAcKvwv+O0tBdJpcjBTPcJQxWKAoEXp3AMae12q9004fxyit95Q+nXXtte5XkYh0NLsd4eERJlJvtrY2ABoaWY0SBKDRgEJmpR8AMLCiFycgWn8vdiMkblCjlFrSDlVWhOdCK6AcGkq1nATLRYyG4xPL5vDizID1oGoUI2XQEhYgH0ijGj4b7WsOpPEtggis89qpnlUArRYA27qJ9ieI0FQb13QsiJFoeetD9EDZ/h4nmMCPNrGzGtkWQLr7Jhnzl1+TB/+5IiBAtLYgBjYcThFzwY9tcg0FsCn+aJfavGOiqNjSa6VU4DytFExHcKdlDRyBHwW5VwJS1eyuzOuWX1zX+Zt4MLXPvqwWH1efHbAivz5XsP6s9fZ6f/GX12RUTwrb2aliqFzrfRQbYyiQBSFUhCXYnqosthglnD2UAUU9ePdgxJ+tFcs2tG/de3MO0bp4yhCz6lDhnEwnwTRFTPOI0immsdqYU2mWa4wJiYt/0FNTUfb+s1W1kWsKGEDKcestjWg2NKLa2hE0OSW4AkE3GgGkFFcNgFV86au4XpMr7jaBHN+LI1DEguGy0kfVhXDi+jx9f5IN0uwob5yI7sZL4RnTJoa9156t9xU3iq2GVUvCqLw6dPC+WwCkkAOQOSOZB62juER01+uRpbRcNtr76o5nEyog88I93vbhq7YRL9zY78mcERdZ6cchsLhVgTAZuhwjsBmjdU5jLSQXbQWiMHsCL23M275le0C6VIgGeMtEmirqCxkFpXehnYAcFZoFSxEgB4QTKX/+fH0/2vbqx7kiarUxC1ZIAOQ7zs/ze/bcATBP04Al0OLG93GxbUGDromMbwW9EkUSwbystoDcD9agrw4BDk77v3HdBGjoUDu7f0um6sD7IQMsYPy4RV50LdwUBtdhBron9uJKBZa9qeWbcjIteBgcx5n9/9UR1rwmYbXNb7S4iO/BFSVfK5BQWxGD9NAI7GzvbAULAKrNbsktEAEWtQGsdPqlIJwW1DEhv+qMZqyr6NtCqrCMhux2AfUwWAKjgNZmaViHBOnNjiysveRSqFqrgXEWXIXcsir1Yo/FHMhMKnl9vPbOCmuIgupq754Huqf3rOifiE4vN3Et0noxoWC1MxOfJwHlYPNs4fwWPwZtj10OgTF3n1A3Yf3Tv73H9JpzxIEaFcFyStCoKHv2zmqseHnaIURFTFaIslZDHlWKXAI+nfeoKrgsCaUEejG/naiv80I/1L7PGLqMy0LQqna6ngNLgBZBP9PrtXsh0yaPgqlnq8vpZ4Jl36F2oAUPawWACu2OquD5ZYd/GN/ieO5JL1ZLmL21zf9L7Fkdvrd+250VEERRB/bBphfG5csdUHtaSz79OqB0oE/whZoltbdYzvao7ruujSkUSC8CyQn5oJCvL6g5IP1mQPfM73z8dbfGhUBjDcZZrY8/4PIqrWtrQRNaimfaXIZ5FaSd7gj4dEdFb04swydpie1yY4CDtY46y8mtWikSRU2a51/2gDC5LT1weavIrwr6HyKGB9sD3IpqAtKpojsG9E/cY3Y/GFChAXOOLeZtQFKH1udcO/bzttYhsfggkgX18LzD48sOf//hLUoJWI784jIolltpz7ZsyG9/7PWnI7m5QPLEZOf1HfI4snl/UnSlIo8mrHASDB8Dak+IuzalsACZzaIiKfI7BuXhFFaVM0sAipmZlx3WZEYJXOEEe0jme/dSEC9fVOWTV+gqxCq3sIqwFCUgfdYW9FxZz6hfB3/mdjuuCBvOmdXKIZIWoHYIF5q7QwQhx4aKeN8Jld4U8ZSRHk4otyPqq4Gb/9PcgpbSBUSj8Wky+g4sYKprMrBNLJngWiU9BaTnGenB0aOeibBRgykepRCxgES3iW1h9bIwIRUR6M2OG3+2vrqp0PJGBHU/rgJAFUR5zYsuv9pB8sBn4J9/nuxaEvtXqwJZES6s5OrYYX5/IBpwKUiLU5+sQHDKPFD7sCY2qojRPZi1IbSlFwT3/HPKVeVhlE7cLCQr6mEH3XrsdmYvA86fMHNy9o+kc6ZzJL3kEDDbQqwmLuVUTbX+DkcoWo9GAFXxorLhfiF1XwpNxkPmXHNf1Su6OnCVTHmypwo0BdUOhrBW9CcGt2UYOc/NQovB6Ka6BrQ+IgBmpRAQt8lbS/o368PnZLEeSqdaegCzrEq7LnRWjd7fChtO9RXhnDBk8cq71gWdVKGnC5P8cWTQXiswL6RkGpV5q2581e9pQdCP+madodKNRIWNmi3TAn154u/13dp/Hqwa54jwxtJJjBLKAF+BZWHvevoxEtz6B5c1oaP/NFoAvb3+0J6TBzF8CFIEuRDtSBc+o5bcWaIXsgLzAt0muYcROjEJwpKRnifU3CHveZ377yukANOrgMtTsAArWqJmnxHWw6sMZpfRs7+mDLUxP9IltKIhFIiLC1lwTDUF5NseGgXpeeHe10XufcKCZHuJ0IopV5SSIDdEOvsXFluXibYDpBSj7fE+353KVYTFoHjxZNP772Q9B75AcL1fEjCbHwXiOZuIGhkUDI6MenvJCJeZey/sCEZx6wABAABJREFU2boo2ULmgvaJlNoNMlN3TEjjx2fo0zNkv4e+vlmTVNsDViR+5t8vE9/zy/dYxoRUK3C+QIYe9WZHNPNEIcCt53373DOZOXo8QU9nhJsD6ttXDGoeX6A5Q+5uOHdE1jXhj8ZEe9oYVKVXdWVCol9Y4LFtIDQrGKeLSlaMk7aCad55r2poYyhZ0D2HK/SABfPrYk48Z8TMc7moF10q9t8Vs4UZaJtjRdEoQDonaKAdj9tscF36xrdOx5qFRfwEQMkOizMAQ2A680zOO+6HjG0EwzOFFWsnKDcsRNJ6holS6QK6Y0X/vCBeyKIpvWB6w0QhH6iYG2dBPNGqbfexonupmF5HTHeC/kUxfKYl3/Q6onSCPnIzKX1o6rPpSDoq6dKc+91ZGyqksmqTxAsZGBAWkFWAMgbUGFYG20SRJl+nZAQUJAHXSWsXsX1Tuf6wZIRphugOebfDshOMjxVyqfQVfplJy7e9onQB9a5n28NUILmwGCOC5d0eeYzWt7kRuysck1C4ZmsKtNIy8ESt9cqLzLIUpNNi+zv3Y7lkyJJRXu9xeTdezQcvwPePGf13z6iHAXm/N0Vo2LhxHNlmwH3RhZ4gATkp0mPE/g/8nektWVG1o7pvyAHDrkP1zALAp38fITecp+lFkI6cz8tzRO0V+aZiubO440OPMlbglYEGppsDm9pLiTiee2gNKHOEVsHh1Rnvb1/w4eWAl+UGiIrdMGPXZTzNguGBrMzpLQsIOkfiIOYZ250qwg+8/umtAPuK868WnBXof0jYf8vk1TrAEC9AnARz1+P3co/l1CH1aPeinReZsf75FHHz+4rd9zOefzXg/N7U7McCnSLSCxPIfFCgq8hvK17eCGQKGD5ESCattwxAHSp0rIiPCff/heco8xnzpv0eePmV4JdffcIlJzz9zz/Dze8qnv884OUvKuJF0D+wABePa3taPFdMtxHHX3DtDZ/ILupe1j5gtrEZ6yQIpteC+ZVi/3vB/ge2eYRFWtvEdAC6oyC88KzsX7iXLgeu5+FBoU+kTD//BeNAwKyIvpnw9fsnfIc3KN8yBpvvuFZ2Hyq6pwVjR7CkOynu/8vRet3vEOYV2WehgRTvy3vaGobnhPRsrAbr+daefdY6RyznhPQU0X8vCBHIX1fUXUUZFVNYn2u9bICKP/L605PcuuHreG+RWJM9AiuGIlbtBEoVqyoxaa1YbXoQAHQKBZWz6kYYhgehXAUna4+ZNC86DV4txJrg+liYUqe/mmXJJlAPxZDb0vba9eUJb6MGrZ+tXSSdC7DqyRqIsu3C3+jXbhWamUEjgqBeBRhgkgomyiFsEnWAQcL2FcCA2USliLKtqHYAk1ft0hrQt/vyQN0oyLIGdlcBiycNwampARKrVbHDGsg7Pdkk41twbqhES3D9OiwpF1WooWnk66/f1+wocl3RQkOBNAjEx6dVRBU6c6MQ4waXTpCMyuvG9uyZZp4TNgI0P3qVDET7R6f4lUJkPRvSowE1KZL1/5ZilVzhY6nBQNdo0vuRixtBKaQQlSIOZ55wDLJskyt87uwFt2uom+v7AjkUhDWIL5v+P1sTcWaCudp0oM1Pf18TP/OvqGulevvdfG5oQcOPxq8lCDZuuvn/pZLFAUsGHW3ZUOGx7W3cIkVGXZYYoP6erVCao7PgfvOTLxc88+R2m+y6z63/zOds8EbjH9/nj65v+/K/J0vcba1JVSaa29/1JLkCAjstPNH15Flhgn+VyokWGKmwSh6jIASguliL74ttnmsbw6trtERunedGIS6GcioDjXRWlLzZu+1VBlOpT0AdieDqviBsBVQKA3PJDDCkwFQpWdCJIxV52x4cnKa9uVRHdP3ZeOtGNVVWRUsy2KOLhjoBQNU1cd0KQDV02RBSJmirOMoWweUPNv/Xij0aA4lC1qenvgkoVqTaXxVkPNh9OFIUnOnic3izl9LXabO/bsZ/fY66rhmnzPvfrWi37eflfFM0D1yfz77Hdh0wFCBtwoYusejpdkdRmhp8E7ry8bLxbfMt+JjZPDPKNDb7ll8WTA2ZonY8o+NMRf16Yq9n6UG0foEJOVrxJ+s6n314oj/vCqghaqDasgb2aXfHzXwTcI8RE4WTtUiOCPr1BoWM1jtpX5VPCRD6gOqRKGq9oFGM3VvU561rFGha56azaXjO2fnRbSj66nPIKMrGzkkXFnNbQRgb9sK2COF7/cT9e6se3Ng+W3VlEw5qHyFiXq5y9V1bkUgXGtQoljwZvb3BWrhuGVF7Rh31PkQV2jE5TYLmg+tWkm7t1y7bxs6LRt7mUVMwdLwAC0j/zXbeWYLbnre1h63jpKZiPrDwCEuAvcB1XthSMBWkc6FH8ri2kjhA0tpYPNawNhQ6G5AZ5mJBziLUztwXylogFwMYWNDh3NG4otMAzHoIDd0E+Jn9A6+7jNqKjAIAEijmFJRxSCFDola2vcVUgFCojaCCoVuaVSLMzmdaOtRKr/S1/xpGYTWUOJg7SKCVooudaSFaK4sgTCtq1+bpxHGLp4Bl6IA5wPs64zHw+jsWVH3+hoUtMfM9qeOM/QRwi1BLxCQLP8+ev7feUExLWtGz9AIXYILvb2ZZR20MxYeXA+Ylofez10WxNnTjJii1jY9NHT2Yojl220SRQKAK4za3cKoDr4mxBFrLRTRgZTnw94LFWWVg68EW8Q6Tz3cOmubQbJvKCGM+8ro1Cpa7DvNNwHLg+M2vBysOYWW7bmVGKhBmQZkC4knQvTDJzTvb6/pA8twlMlmf0cTU4kydEQ1A2ZMd3D0JymWzT/2R15+c5OqciZ4kIomONEpNUKNx9ImHEyuRDNpLJ5AcyJ0f2MNV+4p0WBBTwW5YkGKF2AJ6eNnhdNgT5TqvFYsagboHptuEuADjp2KqyZYMOYorYlUDaYds8ACiKqQLQIEJkFj/RrM44QGb96xK8vBUbJPc+Z7qD+lS0D/OV4dIOyiNl+QTICyK8cMMKRX50GG+7xo1q1GvHXm+FFYpDx3icUH8w2d+9v0N6mA05SGw6v5y4vO4GaxKv3Czj4J6s+Nimkn/9D5KNMm0YMqOfvEB7nFIK6CxWQHVnrM4COkuwQL3fNOjDrFRuJ2mKVkRny9Ew4aOB4UIUWWArIAqwEjEog6JtFqw8g6g9RTLUiBThg6J6Ld7TQqDmnjOCJOQvpgE+UDEtTyuqA3AW6YlC2wDMqqi2yb5+84TID0UPftEM/vjUq5GsR7sniPSZD181isxFTHUwYZzVxHeTei6gtv9BWPK2KUFXSz4cDrgh0+3qF3C9EZ4SMaA0in6uJqatz6+Cgsu2S7gKA4ASN81lD5uabRWpQ/T5v56Ss4DRAOlKNKFSXz7PaPJN6VUS5hlKgy+NK59pZaMtQNXuBCYyG5+t7CK6ZT3Rofs4nWC6ehq11kxZ4PMdB1kEP79MnF39yR5NjrlwgAEKRFBNeGzFliJkK7pfbMeyKte9wWrrnZBX3hHI0grIv2ol7gtJwGcyl+Nolcr5Lzp1xWB3u7ZdzlnyGmGdgmaxhasAUIa32xWU4D1+RCJiYugnNDWBL+bf8bJrqsCqgrKMtowLIWBSTUbp6LAtGD4aH2DYQ3a3NeUwS1a+8b5K8FyAMptxfj1EUOX8eZwwi4teJpGHOcOei/QbwTnqcP02wPSUXApTDK6Y7AE0wN/Nfpmj4bEC1B7FgvChSJN3tMfLgv6B0A777djf1JY1oRQg5iIDoOm0rHFJl6IOlbTBejOG/bMJuDlQEprW2nP18Y7H1IruNF+xJJntXXhfuGW0Mrs/RQWsJ8L5LQWgrzvT6yQKPuRc3jJXPtxc5T7GDmzZxw2NGEqdNb7GzSqtM9db1GZFxMLNArykCAloo4DgFseeQEMtu4PNvdYqFS4zRw2FG/bU72/PATorrs6F2UpPLtSROnYG8hiKFqBrg7sTwWA7kwLNym0i8o7wfyKe3l3ZNDWPyv6Y0V3ykw+Nus1HxL6oyK8zAhDRDGbI73h2Tc8KoZHxbITBq6w5NPmfxn5XURjFXnMkLHgVz/7hHe7F7wdjnjVnfHb02v8zaf3OJ4HnL89WO+atGK8033TxYT4XM/AguhQFN0TLcfmQI2N0gvK0LU4wgsJYaF9T3fE1d6TR0EeI+KiGJ4tvrCefFcI754Luk8X5FcDlsNKYSIroTZKJoBW1PYAmX33qxXTsufn7j4UdEcKa/kaLiMnnUwF4XhuloSaBDqInQdkjdU+AWPXBDehwPhx4Xt8zRuzg/t3tYIL11CYC8LTCdol1JsBtacWC61V1HqFKXTXQAugobYA1pYBBVAU5a5HGWLr39cgKKPFKM+CcJkRS0W4zKg3I55/vacw15mFNw2CcjugdpHPv2WXvJ50WqhZ8MLvP3xHRuLzr3qcJhaul1tYKwYTs/GTNvsdjbIyo2ydOpU9WhtVOiluf8s1Nd1FlIHrp+wMdd0lqCj6HxLSkUWd2ndY7ip2f/aEfb/gze6EfZrxsgy45A5BmMBqFQrLVmD3InbWCOpYgbHg9esjRBTH3dDmTk1cY5IV8Rhw+w8B48eK+Y4CtK0QX4mWposiLgHT3LVETTJw81taJl3eBsz3a7IHAC+/FLz8gpZ4/bOi9oLlM0Wayl7pkDkB8XvSuP07Sw9Ipxg+sb1meiO4JF5L2TEp9GLa5S0RawA4/c0roxtTQKt/VssrcCW8VgKaSFtYqL8SMp9nKMB8R10BLkb7HwFqVMzvM8JhweU8Ir1EKhu/sMWtfwTqiW0X0zdEkPNnMqfyiFWDJllP7rc8G6c3LHKF54SHcIAUweUd3/Pqb4tZUSWc33WY7oHpXUWYBPNdjw2BAHkH5FsWYPpH3tvwSaAPCeNHxf5DQR4E0yuye+eJLVH9g6B/Imp8/pqF9d0PZMU+/2XB8M0J+e9v8Oq/FNTzGrf8sdd/AwuhTaDngV8xVKRwAqhVt/1VZv57cGPjaFcirBT1fcb97oIxrVWiqoIPtx3qFBGWBK3eLwW4kbGjE46ibhNcAC3gtnOXh8MXtyOFAj+u+OoIIg8EuboPfiha1c//Lrk2sYP1g7nxtl/zClCp9n6TtFf/ULS+DNpcVGiM7Xs0XyO5rVoYZE0OPK/xXlokoA9Qp7YBfI9XueU6YEMQXCsTAU0gCmg9SCqARLEqZ2DwJ/gxdU11VcWtVmEUabTTJihkCRD7nnwuWeBmSEdDgiuunrVfF+/b+visb9sryjX74ex2AdoO/NYXuk2wYGP0JeIFMMgMAWFhwhSCiS0FhXQeRGx6zG0MUyrou4z78UIvxjRhFxfkGvC522OpgtolivX0LtAg13PNA0i/FnteXtHWzbVKsecWbZ1Yz+z6XC0Ih62Boria61dVcmFPqH+2ktrkLI4WIHilEmjMCNk8X34urpAcKkRvrsue79XY+5xyteOwzjH1z3FWg6olcgotFSJURLxa9xvEqv1928/7JeLpCso/9fqJxJZz3RDbIOv9+Ua0/b0NWs1xBppSsypE5XoLKtr6w1GkIZKeQGyRKBdnW1Vqf+K1bRDcPiMTYEFiyZ2FxNVjmkmN72tWJTbq2qFf8HpgUASAAZEoUqh4TCM+DHvUxZW+BXVmf1KzovDXFtXnB63DvUX5KwuYqoCMto/nlU5ZE6/Pi1vrs8OKDDc0Stu9S/Qkdn0+Dc374uVJnrYeb3sMTWjwi1/aslraAbX+JxX8LENYtdsc3XXzmYbaqq7rWb19pWwooV8m7C6YtkWANwivMziaCFYmA8Wp9OuYrM+mFbK2a8L3i59iZfg92LnXxswSjJZsqHlrV0AvgFu6hMn229l7RC2gdOTyqhhxPf4mctvQhzh7cTus9lkKaDDvb6zPXRRAVMRUcTdc8NX4gq/7J3zdPSKi4mHe4VOs+K7fQafYip8BZMC0Be1TZYP8tUKPswBsjBwAFVuWjVZtIkSu96HBFGmDJdTbz/HvtP+kbtS+NzHbVk8BPpxesLeh0ABUkdU6RbivtzO7KlF+O7+aBoLPB1k/yxFOtfnkLhmuvN60OqpBRl/MIxUreG++o7HP3GpH1ve7RVf7iGB7oBcU6zoGLsjVrE6AtZiz7UnfttbA78k+44vY0ItfzkBzNXEi80SF00URJ0s4m/iXIXaz9ydf7zVf/n8NtFmKMDBnrshjaH7lzZaLk5BuE66fIwJUQQoVfSzYpxn7NOOUeywmPBiSUptzFprmAquCrt1uNkTYoXYNViSNaGOaTorhqaAMmz3O58UWqZwM2XSBpJnFr3mOBlDZ/QQmXRrUikwe29v8ckTW9STU0OUIsjTsvWEh0trWQbJrMjEvtYJCmAXpbKitGkptRajGZhGuF8j1fBTry25r1c/VZqNp660FUlj78Ov6+c0eUwgiyoZxpQlm54OrwjcRfV5ImAT1HAHrRa69tHNUgzG1ekA7pXDw3pS7yzrm22no7jT8Lo5lDNLU3n3ubTUzqJ5v6LbNw5QKlvjF2fFfef3pwlOdobgWaLJHCWz+j6yKSlFLVuxmF24iIdsiMGRWE7AbFtzvLviPr7/F+/4Zi0ZMNeGvbiPyVxG/P9/h//2ff430kJD3fCic8KSmxnNFnKyvaZMMXNHcIpECrUyuNAUq5QlMAAFtImkULIcETcCypyhDMiSESnUMfv33mkhI2Hjh+aJw9dnKapRURd53tuGvfWAeDJeOAgPxtCDMhZtjB9QuItxRu7vuOtQ+rZYTIUDvbowCjNb7ck3hREs2w4s1pnbJEGG0QMhpxbJkiu042iUCWcYr25M6JixvR4gC6WVBf8rtO2sXUbvERNhtg1JsQmCNdtwburEUxDaOILrc0TExnhbInHnfr3Y29gVYzPuuD1Q0HeJ6aMpmwRiNTaP3YgF1FiZ5qi14wJIhy1qakj6xB9NEvcgDXREYGTsugRJIs+lC62MMM5CColh/Ooqg5IjaFRzSjPfjC34+PuCb7gHvhvdQFXy+7PDDOUJjNO83QZ7BfqIuWP9ZRXq4QE4XzmmnUPm8L1bM8CABoNd0AIKNPT0pWdnujteVsTIElDFCcqXtiSMuXhSp/CyfB9471wQ9rCAim+C0qT82RBJowmaZ/VMAoEiks5mwDRt5otntJFOadXXuNSKTEICU2Mtr1ymlUFk9JT4/R2mXTIpSl1ZE15PmL71j/Rqc+rktYHlyXiqkGIujS43B0CJRT1Y2gl1Uf0/Nlgj+vDyZAFpCE06zrZPUeqzZv+zCPYpu4XvyIZH6a0GlCiBeSJzUqH6VY6KrlZcOqSXXbn2EFKhSGsTYL9fBW2O6bD08owJdxZv9GbfdBa/7M3ZxxtfDMzopeMo7fD9xD/v0esbSs7QcTISwDGJUJR7a8ZIhU6GtWBfani5wSuE6fqLsj9Mo6JKgzgwqa2/9thOLioupqaYzRY44n/3MuH72NQUsN6kVIyHcR1rhStD2f7GAVevqpQ7rQffWAbIiDCmNAqTRnjVVXNs6KZtA3ZB13fXQPpmA1fWarfuedNvjDEyMqiTQTzM8n4BnkKbcJTQRuWC/J6Dq85wby8bXLIP2CCQYu+DCZ3DYsW88BBbQqqJ5XNt91qFjPLDroDc9Qq60GaqVc9mYG2poavOItSVYzDZPAxWisQDJrPfSGFEGQf8ipvyNZsfnBZLaBehhbLR9vgkou9QSyv4htzniYpKowDAXDA/snb28NnTtW6rWn98HXN6SMnjz5oT73QW/3D/g6/4Jb9IRY1jwq+Ej3r1/wd+ev8L/9dtXANhvWTtAqrRrbUVMUKRRMvtXoWiii8shIO8C0oVqrLLZg0OJyINgeKroHzPKLuL8lsq8nrjXTpCFayosjMeisRvKGDC/20OjoH+ubd7/6FUZyzFB0KabUnpBHvhzWj0ySy1DbKwILyzHmTGXRJ4t4VK4L/l+shRqmZxmsnNMOwRFed6qot7vUcbeEl+qz+ebzuYi12MZE8KOSuRuYwVYMgBYdQCtOByOE8+g/YCy69reybg2G9uoIgZhT/fzxM8e6VqwvN4h7HvTTOGe0x0rutMmOU6C4K0XRjuO59KEUMvIWLo729wdApZEy7X9d+zVdhuV4ckZhTxnQ67oHi4IG+vD7pkBENk2ivPXivwsGJ4ipAQ8/HXA5atCf9YLqakYCkSA5TYYyqqo+4p0N+OX94/oQ8bjvMOH8w0+vBxwPvVIXcHtzRlVBedzj1ICzr8A5tcBKkpRwpeA/HevaRN0RJsPriTdP0ijzlezDR0/EmW+7BTaEWmcjXbrbiswP/TpFRXV5zv21zL5s7jAUNT5noXUbDRgKJNlKFB25gqAloPz95QJbRkdbFCqMx8EsnDz14X97+P3fubyM3iOMfYrAxPiOG3ozmBecO19rS1uLQOvi7EVEz7ShgXxuwSV1OjYTAarsUt4fbVjwto/Ce7/gevs4a+IDseZ159OTE5L5O+VvWL8KOh+E3F+L7j8akYdI15+EZGORF7DTNQciK0NSCNwuVfUQTF8Crj9jc17D/mPagJewPMvUtsHa087prqrKENsqtq771isWm5MkHgRvHx3A9wW/P7/qKiXAvyffrxFffn605Fcpy9u0DomC7ZZbxAh52pLsWq+qV4GRTP6HrqMm37Cn+8+4M+6T3iqO7yUETfxgq/SE/5m/Ab/4+7PoM8UcaLaIB9SMKU9WZgQ/ogy6Whl9M0NrPqlTc+K9Z85RYaJEyunxSpO1aoVV70CWVuC6kH+tq+GH77ev1dUax/Q+t7ydcVWPQlUkNJWKhhJoFF8qwW8Xg1RkUb35RtWpJ29YZuXMoFFLlRVNWGTVrl1u6FSAEeOcwZC4EG3WNJhSoXLDX0gu6cZcl5ahV8cfXYkqMYNlQ0AjDbtFL6Z4hRNHToA6ONanTW0L+/ogRjPPPhkiJAgVKzc9hW1+8Wm5wmW0FqxxTa81u+YyxVdWboEiAVfjjZUNMqsLAViwRhEmAeMsVVoq6G5rYIIQFUwpgV36Yxvugf8uv+AgoDvD7cQUXwYb6ELNxW3iqi9AJnzNpiiJ5YMQWp9Qj9CzmNgIuSV7coEyT1nvdIYp9Kq5m7jVDtBmEPrzQ2KtW9QDemI12PdqIpfzDVHyiRXS0zkC1S+tj8bqmuqyuvaDSyQqF4zAK4SUEuCAsgkiJHJryO/Pj4+p30PA9a97EuUafsdvqe4v272sVZ+pghpbjFCUSBfNvd/GTyKXCna8jpw9X0AVhXyECAIa/HK0TK1eei0yg3TpSGWlpyxKm3Jtyf4wHWSv0G2tWOvojqq5B/ne/q2FcP3uag4pBk33YRDmrAPM951L3iTXvD7+TWOpcdcEsbdjAuA+sSWAl+bK6rA+wrTgooOW9NT9UC0FUywUoArSEWs3GfpDWr7GoK1FHAOuvKkf+aPnleQ9hnsfwKiXP8eoM485DzHNunT9my2z59nkxeEsFIvRRCkAEnpKe8obK0WWCfSMb+gzLvHeJjLmqdbcQXzwvm5G7lvq58Jpl6fZO1j3KCz7QwIVvnNBXqZuLaGniwFNbE7FxMsSkFBVUgXSWNOAWUXgXNBXLKpOQegE2hgIuLJ7WovRL0F51646nWYyop6LXwuLrrGcd0mM54orkVZWkoJMES2ZpyNelpcKdmWw0yWhNQelzecd8NjRfeSMd8MXBOd4n53wbvdEW+6I+7TCUNY0EnBPk34dfjAy4jarqfFDoa++Fr1Od8tpO1CSIetHRG30jOYppaHxSqRNH9SWCvipdhcNbTJ54add63X2dB+EZi1V0SY2abCuRR+tBYoSaHt//sYFyG1k4JC67qoUVBGUqz9d4ggmUikOtvKg57NeTDNLK7HwP0bWPfAVwfUIVJcNLsQZWjJAgTNutDFNSnytLkhOz7YNlApVjgt7DM3X24XSlvHy+ccrbJEuzZX8i5CRu5htec4dy/FEqjQ+mVdW8AR7bhUhHPmHLUxJ8LF54LE+LJ/seTPaPrDI1vzyhhQhkC2ymlGXVZFvngBYGrbec/kT5QUdimkm44/P+L8MAIfO5RBETpaSNbBYtRDQbxdcHO44O1wRIDi+9MtXqYel3OP+tKh3AKHgd9bakDOAfleUQ/UGIkv9Jm9+Z2iOymW/bUgJ1v9YKxFK2hlUu8bLT4CeuA1xTN7zivWNVNGJkxlx/iujBV6Y1T0Y0RYxERrhUKIHosbil0jW8lEmfRqEUTviQ42b11sLgKlV2IdLrSUge4FzcIIsN+R1S4oyIrotg3a4iUNgPfoOuttm6hroMq6lGAWmIxdm7p6RGPgeTGE98jEePdh5pz7iwhvB3JU1RZCYwqkF+Dm24K8T1h2BSUq5rto7ZqWw01GeJL1GZVDhR4K8KnH7hNF8C6vmYtFYx7Md4L5bl2GmoC6qwiHBQWAdgHpRTA8cC2f3zNxlgqkp4jy9YT/8OffQs4n/A7/9defnuSmyITLVUxtE4mX3DYeBlaVVYwgZivE//LMPoC842Cd5g7HrsdUOxQE9JJxH0841QH/y/mX+MfzW06eXlGGNVGuiUnocpMQu9B6uVpCq6DAwCZIY3AEIAPBdmu3HlIJ68SzRDPOXBhU5tNGd2h0jGCbN+xwzgok6+WN5gO5pd/BDzuxDY+JRphK2whFuQDc89Cvu1k4LBRQQNFGQfPetDKyWp/KBEzaAnHxBAGwhHGT1PoztHsBLMHzvllPJAYTybKKfbgsGD5TIELc5qhy4MNsSoROHw0mGONJhlPdLNmQC5i4dWmlw8HGIgXAaCzxQlTRkURxVBdA+yV/teBnrSqz0k8aUEPufZMZemjYoCTm+aPm3doQxs3hGwyd0S5C7HCk6JV9ptHq667i/f0R9+MF7/oj7tIF+zChk4xRFvQho48FEpV0nMTm/NIL8kirgP5iZve7DiK3a1LodEdDYTzRdYTUaVXtsDXkFboKqZSeLIDq/YauHgqbiwjQvKW8r4UdiDRfTO/DVjCREkvGJHIOcW1u0Kgt3TIESAI9ZL2/cEtx3CZ/toZcwIMI9iY59t/zIoD/rC3CDY1zO3b2d42B4+vsglLWBGz7O3FFFFuRZGtLBHB++9d+URy8ahdo4yMWhG3vY3PfVZhEWe+092mHpawWWbImDfwuD9jq+vz8lSspwcUQlBTWvUy4vrwXTrJuArfrZFoqUKvgUhL2NeImTrhPJ7xLT3ibXvBc2GiUNWBZIsockExYkOJQLFp6MFj7ZPMvrM/MElpaeKx7l4rtl16w2hQOaxToDfsZt6jBcoiIc0U6cRwLuI5qH6B3I7SzIFL9Pi2htyAG8L2ahS2eM4AIPV/FnhOA1rO6nRMlhc21GoXT2Bp85iDab4F2nMpatPH5o1bwgyWqxgBoRd7Dbi3iWIJjBmucCypofbyVc2FthWCvbR0SgnmvqwiR/7gmjw35BYgWWwyg0Zgnz6asa17WtU9E53v2VrbnCbt/aCsU8PmvZ4UavTp40cKSyCYWZvM6XmhBo9vgf6GGhCOB4bLYs+twJaxna06qIll/3XQfMN31VDS+qcBNxlf7Z/xs94y/Gr/Dz9NnLIhYNGHWiO/zLU61x+H+jBcFwtyjeyK1d3pFkbjdJ7IrwuzP1y11FPHCZHsE0D+vSaoKjNWwrjlP7gALKr/Qp+R8sGLpZhI6VRbAyoIKaAikFw2kcs0vO+4nThv3JKVZ+6jCkdCaiPTSLoj3iSirfZWNcdMC8RjS597Qo+57Ms+eL4w5pgXdo/2eaYN0jzM0CqZ3PZZdMEsXFgO6YvNJyVCip2y1/YZzvt7uITe6mYtYY8W4CjnSsigArw7spfSecSsEetDvIj2Ngqraxs/jYhZbAvcrS8SlKPrHbEnuyiyQTHEvF6HUCJRIdL/0gtSJsT3WwyldlNaOQPs+f16lpwL3+eOOSeiZ/7bsEkWkEi2G5BKBl4iHuw5/N77DkDKCKPb9gsuw4JIFIoqny4AUKt7dHBFDxT9+9xZ46ih4VInonb8STIvR7cOaGPKGON5eRMw7wXJYLX/E3kP0ldZYGgVl2pxtIHqdjkA+BEyJLT7R3FriWRAXoKhQlKsC7ncdMqBTMC0X22fMeUITj0U6ZijEtCioSM6xTS9Ad6Tyet4xYZzeKr1wPwr2fzDx3V6uzsrze8H5XUSc2cObJkX/XICqCAt9huMkiGfOwbxTYAf0T8YKPQPhiXNsuuPaZYHFi3WmHTA6uMR7Tkd69KoA011A2dGXt+wqltuI82tjnTz0iBfB8Inz6fxesNyyxzudYPZALCzEc4BOFBybD7ZHbKyLis3l4cGfN8exDBHlGJCKxTNl9RPPN1S0brHOc4f//D/+OeplZSz8sdefLjyVEnTsoP16AANAOGejBJGqRHXOdVPhIh+wTKy+Lbf8vGlikrvYjjLKgi4UfCoH/C/PP8fHiwld9MpE1wbEVb2WG6J48Uz1va0PnyMuTimjmIFVzVs/Yl0583FdPFKA5BU927SokAoo1t4st5Nw79ySIuYDq7BjLkjnuvZrtURjHc84gYbjHuBaVbv2cUWbIkWZpLJyJ9loX90axGsKFD9JQq9LR3zcs9O9N12Qw4ITJheBCapdg3YU6eGMYd9t3XWoXWRQtSwI5wX9Utr4AGifi1oR3dcxBSbjEy1KEAyZM9qhBkE0hFlFqK5o99SuxZRC43mBU5n5feuz9WcIWDAWwGDSlOgo188D0KlCyy0pnhqFlMC0yWRCANQSgG2iFR19XoDzRA9gDEQ3ikKStu/3qpzsM/7q1Qe86U/4+fCA23jBIcwYZcEYFgwhY4wUYKsposbI5NgEIloLwExfZhw6xFNGeDEKoYl5yFIM1VoazVyTzaOwSXatSCN+6PZGrbqux7SgBwD74HzNWA7hiBq9F62nEut858MA6VpOAxNBMCS+XV+KVOi2tamqrLJXFhXU2QE/SkjXpB6XaX1GjkqGHwcBLMUquHt+kXTCCy9rgcNVQQFAS8WVddE2CfeiQinrz0NYg2cRUKXZ3u/9lra+1YIeBOXfgfa7LeEFGq1ZpuXqusN52fRo6bo3KwV8mKTWHyX8Mi+mMrkYjTvaXDa6+iVD5gWhTwhLRLViYE1ExtpeVgUogqkkZA24jRd8nR7xs/SIt/GIj5FU5VwD8hKBKTYvUSIl2vp1NAF1iG0OeQLjwoFbwTJPbrWLawzvAoQKaCKt0v8tLiw85SGgPwL9w7IZWx6+uqdIDBXJ3WPazoi0aYUx1UungUpRBAl2bdISRgbRoaGENaxiMem4tCKCBuFe6cJ/vhfWCjkzUXCBNvb1KeQ0ce9METqaQJopd9fbkUnqZSH1HTzX1MfQi48+x7ZU6Bgo/HTo+BmWBLSXI8pF276uowkidtxzwpRJCQ2ByW2A/WlBzhjMD5fFyyrGsPIEbNMCoSYeKLk2cbzSM4lJp7ImJwKE04LwckIta1AUp4IAFqDCZUH4/MKiQDgwIVe0c5QJOhGoPFDYJu+ByxtFuc/Y35Km/IvhAf9p+B1+Hmf8UBN+KAd8LDf4Lt/jVHr82asHfBpmfPzhPeJMz875lmKCt78r6B+XNf74QtgPANIz97Sy75BvOrILXNcCloDKxs7qsirnAlZgNQVktwRq6seGCtcuGMVSWsE3D251iAYcOMU0zGiUa1qcrFRlNVTVEWgW8SvbhYKtUTvLNbBdqa05AfqqiBUotwPm1z3RzAq2Zp1nhOcz6mGH8mpEyBXp4wsQAy7vBywHwfAQWguMPGVj/twijt26f/jcDQH51dB8icnAqpB5XbNcLyz0lSFiuhvIAjhmOgvc9KiDs1n4bPxsdSs+tjuENclRWGwQ2r/FqaL7zLma7wfUPiCeMuIlE21fGNc5eJJHxjSa5Op8Aii4N5RqnrQZ3acTys2Ap7/cmcCVQDTRJ/kMyELmgHYKHQskKeIfIvbfCS5vBN8e7jHuZry7OeJuuGDKCbUKahWcjiP6YcF/fP8t3vQn/ON3b9E9hFYArQk4/Yzj4J7tw2dB99HGuONY1Z7U4PmeFjn8R8AVxAEi1MMjC688exgbaTJLngm4vCZ9WZRWOpLRFMcBUoFbn68awiqC9Ezro5roNcs5rNCBfzLOZ/6BbKhtoIf87lNB7VgEmm8Fz39dMLw5Ax9vcfvbjPku4vjNNeNpeq0otxXDdxGv/lbRnSrZkEUR5gFSBOkoGD8o8kHw8heVQmJTatZC4yfatV7e8gzqjop0UQA8n0IG8n61pvK2gv13GdOriOPPA6nKhwrtK5Y7utnUCHSfAtJJsP/AnOr51xHLL2fU73v0jxyffCAY038OSKdg1koEINNF23hrFKQT91LvPa8JgETkPfcl7WDsK7aC4C5j2M/IOaLmgO63A97+T4p6VvwT/uuvP70n13tvkNfJCBCtUVk3bK+mi1GHEqtP7vNVO0LSd7sJh37GpXb4Id/iNlxwCBOm2uFlGXBaOugUES7BBH2kUUB9wjrttEZp9GPo5hqcdqdeIdaWvDDxDK1/tiEUmwqjGGAjlY3TIq7GZhYESaBRrdIqzScuj2G9TkfO4BU/SzC6QJQWdmj59YbYKNUuBOPU2CZzv+1jtX4w9Z4uD6a3QcwW4dr0IF7ZSlw9bLn6nGAqMF7Jp52FbO7L0MUvKZH2O05B0pascLOpfUKA9XoZHdv7m2UBRNQQAqu4q/el8NlsqUB+r7S0AH0ynUKoHjDbZ9RNRftLSukfezmd9YuxakhpS7bR/n/WgEUDJk3oNOFYezzXHT7lG3yYbvA47VCrFWGUwah7m7Kqa0WjEFcKuidKtRpN1+juKQKm0NoSPhcEEV3zrLih8m8K/Z7AsBi0JnJiiaEaDcyLFLW3QzcALNeiVcF1Msqxrcdmy1AN4WxeidoKJI7QrihhbayA9l7/XQ+24yaB/KnntX2PJ8xGoaNPc8EVdVk2Imoxrsn0F8/86vO3SP92Dcj15/6oB3iL6oquVD0XmnDqZubJr1WwVY69ug6/lrr+nT2ide333L5qBRCvx2+TIF+JCAVbswUIUIhREpsohihUBbkGBKmIoniuOyyI+FRu8GzKnHWhv+k2iPE5o4pW1JCrggYaq0CULRcYQwtGvSCoprru1laqWAN4H26/zUAUa7s3++9SZIk/Y0+/9ax3V49mpchugqfG8omb8bH9ytWdw1Rsndue5X86mvrls/TnbP8pWOmW7bN3W6oure/dMBS2rB0p2oo4zrZpzCCgIf/hUq577L1QYvsAAjh3ovk7e9HBz08XADJdAafBe/JVI/izYnuZ+lTS1tIkWPU2mj2aCNKGXtFsedp8+mIvqEDIZaX3m0NB+7tRXLdq8TXiKjjVpLR+C4rnPOJTPOBjOWCUgh/KAT/kO3wsN/iw3OJh2eFxGnGc+sYCkeJJInv3lptkSaDZ7C3Xa9MLN05pdSaCCoN637taAX17rbLS8q/cz9TjD7b5NKQP289ZWWVEi5VFLMEae9kY+c+gFDmqNr+jW6LYs/Give8rROaNheEFaoEJ3aEl2G3/cZsqUwBXDdA93STiXNE/8090G42BDXNmbbchG6HFH3nzHcYUaWvOgIzaBaPob+YXGK+FwsRHI2NNtqP5taMh5F6IaJ8HWEGFa6EciHLnPft9GXD6/lNZAM4BAdos2FDB3vNVYgE1CGSDrmufUPvI2NsLRcaY8f5I7ZiwkIKiKIeKy7uAfFCkWBFEKZbZTTj1PebMPTfIjBAqfvvyGv8sr7iv95vzYLMeXYhJBU09uMW3fnwGtLaVZBTtplAPS0DF16Lg8gaog6L/LBgeNl7WfoZgjcH898i+2YR7xoZoLWKDfw7gNqhiHtjxTLpwZz67tOtCS7jdAnK+dEhq7AmBeSELlhuswlyVOdDlFfOi7pkMtjICdayop1V0VjI/RwM/Z74VFPNWdpq0njhOYaHNGhSYb4O5iayiXcttxHxLkLH07Hul16XnZfyv7BSXV4Kw0G5NzbA27zlO3NOMtTFyDIL/3OKEMlpCW0l5Ruf3wfsPE+fCclNZBHmx87IKagkolwTMAfFi2iAbe8s/9vrT6crzAimnFVnxXosuASEgzIExqgVKZYhY7juUPmC+DcgjsBzMiPluwf/m7fd41Z/xsOzwsOzwZ+Nn/LL/hM/LHh9OBzwed4gPqVVmGq88s3oeJ7fgAbQPiE8Luo9HVo/3/bpxJxrQuym9IwHL6xFlXDcb9mBhRbwACw7QJLsBHhAAGnWESmHWwzUy2b0kYLqPpFqcGWzGyTZDTyRqANAjLJVS+gDyvqNoSq5Gk1YKiwCoI0VzwmXhvRgFTFDRPbIaKFNpiJXUvCYPAA8BR6EKg4XahasDyO/Z6YsAaK7um+a+46F8XtpGqlEgL5l9WSlCd1b6dWrSTY9qPpdhNssbC2RYUd3Be5xrFOQb2tOkU0GcK5ZDwnITEGfF8GkhtS4IUfXOCg2VQUBD5QOtc9Jx4UY/ekAMW3ikvbWiSNmeYAGNsrwN9rd/tkKK0g/XrbM8OIpolLpT7pGkopOKU+xRNeBUB/yX81f424d3OE096kxKepxIC0lHRf9SES9GVzQVb36ZPStDfUgb7hgkhBWNBGzDXyqiArUopBAN90of6WkWJHmiO4R2ABAxF4o4wd4TrQIcKdC27IQiQnu0Z+sKhaQbFYQLkfiy46kcj9N1H2GuDaFUYxBQ5Km0/sQr1ed55n409MB+h6uXswpUqUweI5P/7Z7lwfmSV0ufoSft0mjqFEFJRket0IwWfHh/JecAbUuQ0uotPXRWXLAoN8U1EXDEbiHd2EW8NMTWA+dFQq/6h6kYPbUCsyEFfdcKVLKUlsiIzw1VYM6QHCDzAq2ViLRP82kGul3bv1lQAL/DE6cN0inKPkCnYXnw5of3VCIupUO1rPK3yxt8zgf87vwa3x7v8HQeIadEOpmJ4UDYeiLRv0MRipiCN9bgtOOYhRf2x+l+wHLXc55Z20JDgKv3LzIx3RafvIWlJsH8is82mjCg91/5AS4VtEUB8PLzHtN9aNTkkE1Q0DQXtvunBrJvmj6FU04j+2fDA/dqWqsZC2P2Qg+uE93mU76heNpDD3M2QbUCaKZ9yu0I9xQOxlrZ+n8CoEJ320NqExsDLKiuFeG8IH4+QocOdU/RH3k5Q0zTQXdd64Hk/pOuisM1BWBHcaDFRYKc+h1h5x8DeqkujqaW8JWr5Ez9jJoKwpyJTCvbRfLrHWofEcoaCLGwttKqpSrC0xnycoLuR9T7PfebI59DfXODskutxUkFZt1jCsLCAHjYL0ih4nfHV3heBrzrfoUfugf8fnmF7+c7POUR353v8DiP+O7jPcoxYTxzv6ZYJgPty5sAvAoYnpV9teeC7mVZn70I8k13LahYrH+2KnDkfZVdaolRTRzTvGcS2z8Cw0tpFGRSvTl3Gbdw/nbPbJfKY1gVWG3fj7PZ1FjfazTGRe3MFtJABVEG0HkUU71dWzw0CuZXbH/qXjLScSEqbcleMBqxBkE5UBDNe299H6+HofWw1kRBzuWWLL/+YcH4vT3Hfd/OEu5Loa0/sXaf+d6u5ZQRLqUxkrZrWCzmq7tEQdCKdp++J0uuZKFl87PtBJdXTArSZeM5/0W9JR+sEgHOhTJGTK8TNMBszoB0DkiXiHSsGD9c1jaOJOie19a8y88OyDkB/6vNhxGQE8VAtQuY3u2wHAITI0uIaMepWHZAGRS4yQhxXWz9z064+QuyCKoCfSr4eveMN90RfSjYd9Rd+Gp4wffTDf6H//UvER8TsK/IrzNQBDIz4QuznRlHJoY1AZf3K5sMSkGjMFuiuauIp4D+kUkQEUDa9bz8UjZjpkh/9Yz3Nyf8/u/eA7+JWG6AuqcNjR4VWr4o/Bh4paINfHIx3PkWqL1ieV2hqQKdUhvgFJGeSC3unngP+x8qFc0tdloOAef3pCun5wA9DrzmV9SQ2X2syLuA6a1gOXBOhEtA2Sme/toVoHvEWXF5qwhvZizLgOEzUdp4WgG4fFCcf6bQuwWYIrrP9JlNZt/UnYjq5j3w/CueeekEdE9URH68I/V4/tkMFEH/Q0K88HvKaPZo9wVZyZJ1ULH7zL398s7Ovlls/1HkuwqYIrJkjpHPRY1q65x6SvMdz9Txg6J/Bk4/B+KfnTA/DIjnjg9oDsghIX5K6J4Chs8W1///LcltPZ2bCnLrj7MN4gukaz3UYCgdUIeKritIxhv2oOhSOzyXHV7KgPPcYVlik6l2j7lmrqybYEDWBdAQl1qZqLTgXK72my1K4QG+WoLUejWtEkfI35A6rMIYW5TAJfX997Xz6p+iZDAJqGjUKtF140IVxI3ggaOVUFyjhldI1I+r1d4H6d6mP0JutuPglVRtsdj199hnrp+v6/dumG2t+r0NzErl+wwF877hrdgTlRsBFwUR8U0nNFqgH4SOFnqBIEiw+0NDDq6ebWUZdRVG8YLCdiCwIuTb+2j/7jcf8V97ecVytViQtdIdFH3Im7kuuNQOnQw45gGXJWGeI3QJPDCzIbitkqnX97dFeX7itZ3nV/e0/R3Bptfw+jCoKs1mQL3H2IfA53rkxthoq4kFQXE0pvJ5fpk88zOkBe8INjd+PE3RhG++RBM5iIbuVhYhgBWV/ZdejmZte2P959u3fYF+OaosIQBhkyCaAuyXaBlRLkPQo6wJt6FojoK7wjcAoyu3qtrV9bhqPbwVQ3/i+jdj1D6loeOClrTamP3UuLSX6o8LXuBagRf/TKyjJeJBIVHRhYo+FCK5qJhqh8e8w3MecJp6zHOidUPGVX+f9+Zp4PW2+RL8iLG9Stbr/dF6vXqGfi/Y0Oth7A/fh/jFZE3w/69tKD6SK4rIQij3cRQ11PlHMew6jFYUQNzss8WUM52Z4Ofnv3gjm324bt7qZ1/7Hmnnnq9pZ1RtVXnX8dkm0dI+08+8hhAbO6cF/1tGhX9m2AgWfYm+G1PKE9xWUGtJrkIMAREFAiq0GoVUtAnmiWJlY/mrMhBtuhtfzFkNX+73uhacAvevNpzG5gqAIXM/8WAVpGqqIAoRLoD9flPtcC49jnnAOXe45IS6BMAFCNXmevVxAbAthpovc7sXm99XGiDbZ+eXFGB94miHuCPkrlvSRK6qtM/387E9M/H9XxrVVMombgvrda/6IZvrsGtVEUBrK/y0wEI2n/ET40rdEGn6Jlf7nKwIs79/yxaCWutVCvSj3ZyPDlb85DptMaRtidvfc7aSxzubdbR18biaW5BNcds+c/Oef0nUqzEaNtfqP3NBQoEn4WvC7my/qyVh/dCuk1GMeu601at54rFKvd7/Uyq4GSaUGnDJCVEYv+wiWwmDKJJU3KUzPs17yER6aw6CEgRi6BvVioFmjVXA3tYvl2XEattlmjtiTibV6tLVbHAY3/PaY6wYUiaLcgMo6BZFDlhtrpL9vKyTgc+E48v5r2S6xGoCeK4mzOJNnNfWmuzs1A7NqiqYknLIPgfEjxFcWTaBSb32ipLZDnDFqAxoiLL33q8sIUVIFdVsm9YzGC12hErbF1SYspVECnFNAHJoRYiw2HfZd8hi+0FP67d4DCxCGFLu55oC66IKRMAlAC7kVZOuNH27vpqUeZSsE1H8eVlYIlmgM4vgFL3SBkL+a15/epILsIo7di0wlVrZ01UKpE/rZIvSRFNIWWF2P78tePerB8RQ8ZuntxhSxr+7+x5v+xf8MN/ib4/v8Y9Pr/H0ww1kClQ8AxDPQPeijTLjh0YTnoBtDrfj+vPCHihXVK0mYuTBcJgLQqnIYyT9zZFYQwLVJltNZsatAc1T1w6udFHkUTDdSUviPWEAjJpkhukUsQKGh4ruWAzhjkgXQToSbU7PM5IHJgAQ2KcCoNlI0J5hwFXVsrfKqBgyUFnh1xigo/WNLoU9XF2C7nuO02w9vNb/CBGiV6qmiClEawdW+ldF1y92K39NM+QyMcG92UOHRNEkOxzqkIi0XPi90USK2ibvyVNixVkltsWUR8Hxmx5SDeWcNgUBe/5SFf3nCW4wX/a92e9M2PaFxSbe49YWG9UONzSsek3v3gZ5njAZUk4vMN3MGdKAxnHBf7r/Pe7jGc9lxFQTXsqAz3mPb893OL6MqOeE7kNCPLM/pDuuwmcaBWXftYS8Ic4mTLNF7zRbj45T1n3j3DAaymAWTVahz6O0g6BGzuv5JiJkYHwAwuTBMtaijKCh1mXgHG+Fp6LNI60mgZg1lgfATfBk1wH7jjYmE/vD9XaHqySrKSeHqyCE6HKGZit2zAsDcw9AzGNaPOHfIrjAGvBWo4GbzZDMC/cyp33WSsVPAEiRomz++7VCDFFF362JLYAmprUpwPl96RCQDxsbHwHKjurxV/Qqp7Zm0uJqEiSx8f0isV2pdroiudPMfW7oeFiXCtV6/XtObfXry5V9bZcJqAq93dO+ZikYfjihDgnzmxEaqGsQzZ5LDwWHuwv+45tv8aY74n2iddCldvg07/H7l3s8fH8LOQeMH4KpsgJh5lzZ9omvyRGZGmwVUQoUKdEasR7P/nG2sWLGEg2Rd8THewdrB0z33qMPs0Vgv1DIq67Clo6oPTgnX9EWZbq3s6EAIYtR2Sy4yev8b1FkFFSnIHaCeKE1lyp4Rm2SRe0iqrGNZFqgEhpCKueFiDt6YOReGp7OJhZG/QTNpq4cY2sjaMroSwEms7pywchkFanNNUTrAdXBmAhdBIyRIxPXRN2PaCr6qtAQG2U8zJt+dAC1j8i3PW1JdmtRzJPd0qElWGR7EPlIF6KbYaFysPdTuuigtz/VgWJo6XlCsiTH15weRrIu/FkGoa3Yblztu6LwfYF6FvkQWxKhyVT4ZUV70kvAEncIXyn+929/g2+6B/xl/z3uwgUf8h3OpcMpd3icRpzmjkVLC47TGdcvS+w8aC6jYL4dEGfF+MNk954RZjJmyhjt7AoAAkVlks1n659Nk6JmUgoRBKefCV6GaH18pE2mCxDPFcOlYqxqFizR9nGeA/Md5zkVZNf2GSjRIFSiRf2L2ZccYqOCxplriCr9QDqXq7OdonEKFKLXZFXZFOx5LpVRMB/I2jpk9lCLwlSvKaykXUC+7Y127SrFnEuSV/EljauGB8Czfvg8tURavbBg7UDuBLDc9euaPXNeN6vHfVrPEcBYLatglFYv0DNxctCj+d0ua0APCOJiPYu12t6/Fp19HTm12vElb+cKU0XYFHane4G+ipAcESdFOltyYs/HVYOlki2mk6CeKcxXDhXaKc5pwCdRpFiw6zJ23YKbSLX852XAt8+3OO863HYXvOQBkpmM3PwmoHuh5WZ3KqhJcH4TTMmb40SVYDT6MkAUdTlwne3+EFqbVu0Ez/+2otxnxIeE/pEAQDpxPZ71Hv+wu8Pw6ExKFsuQSS2ORoetN4q8V5S7QsRxirSt27HPNh05FpKF4nidou4EmiqpwuD8TyeeVWQwRVzeCKZX0p5pvADDg5pfLtdLsZ5+KLD/jnnD+R3R1DCzQBEKMN9yvwmTIn83QBQ4f01wJl5WhWOpQDxF4A87yz3QijVl6zyzMF9qtj1GQS4D6db3f8c9O+/4njjzM8IPgnQOyDvBy58rEfMzhb1gc7nsFNPPFyAq0nc9upeA5ZYIsFZOMjKdhPZvF44dVaYtdhyAeRCkM7D89oDhJWD4xO8QjSg9Cydx5r708rOIMv/r0tf/JkkuUmzCU6gAFpAqpOzzEY1rVQ/rYnXlPd0VfH3zjHPu8Pm0w1wiUii4iRf8U3mD7063eDqNkHMg3cE2hLCsTc2tsgH70yvkgQGDFAVmp+oqEaNNL5yrqDVPwxRQrcriyJRXIVz1Syr/vxQTrlIeLKRLs2rGiYD1T3+ZeXPIRDGGR6GC6WBKhEUawiVzXv13AWifUHa87mjqgXVcLXXchrOJ/UQh0rpBmbSLLcl1dFdjYI+m0XU1Ye0HDOBnGO2R3oZU5fzJHtYtOKQKvVyYOBx2aP2BVeGqvAIrjhSjp2UGs2rqkX44sPLkwl7Xm3RcSK9k5W+dFwB4ME4Zeh9QdgmxVFKuDWVTMfsfR3G3leJ2T17iBZp9zVaV94v7b5ZSXmW2ClZKBV91T3gVT1g0okJwyj2elxGnhTRlmW1Rn9EsGVoyKyt6LXNt/Zi6TWJt3AW8jqa87NdqCaAf7C6A5muSSblsGX6kpb1wvtJnGo2SvYqpYa38W7UyiECNFucy+U0srCiCqWxX9wjNFUGz9e7ZBcx5rXpGWeePz69t7yrAgD84VCdEng0pdpuc7fNdEd9NMq260nPNS1dU2npBYiIrZYOKGhW60avb4Hlxb9M36dce2cu/RfzzbqUKekDoY5ougNq+wfXhfc1frEUvAABr8l4rUNZ++C9ZALq1DrLEHbUyKfL3pMA96Twj+HvF5lvlHAh9wa5f8HX/hHfdM0YaCmKqCZfS4TR3CMdIwZPLqszaWDmCtnb981c0V9b7UiVaY0rEMi2QEFBHJsRuT1KCUNBCXdCK+4nbPZRRacllaFVYLFm162m9X5sikFfBg6BJOzhi4++V1oco7Z4oxCM89GdbQ8rANSwF3v9LC7m1F7yagFM8L6Qjd+6VSro2lkzf2hAgUekDv1VbhxU+3I/ai0WWpG69mbce4BSOsvfEyP3Gf38wNeKi6z5kYlE+H9u5PzBYcaod/SG5bxTvBwx8Jl75D9Z/BgS2iRcvvNjaSU5XZbtFWBTdp0If37GncGFwlfDteoQJvMW1OCuy0YBgMC4BK22+wtqFrNi0CMJZUIrgF/1n/Lr7AV/FFwxS0EnBogFzTZhzRM4RrhrKANzOGV8+rUhOSKRGLwRs+o9N0V47U8OwOQwAZbTkIa3no8xAMFhHA6mNy32lAqpXj8QC5alQBK0jbXl9Npznec/rEmsZoH+11U5tT/LWIFfHBThe3Ff4dcG1AFKwM9/nm9r+tLI2XNCu9AF5b4BBFyDLinB7kV9rRNgl1I012PZROyrVhD4jz/2Q2WZFOjiTZGc7NJaC8BrKIKvv9SbJ5TnpF432HCDG1FNtqKkX69WKCP5LXkDhGMEsotbxKcNqw9QYIapGizbWj7VNyIbGWTtg3gMQJm+091yfT+uXNXopMot9CLYvAShzwGzq9qEneptCRZSKuSZMS4dLl3EuHeYSG1I7PCgO3y2I54L0PKHsOtS4s75LQYleOIG1HVqsdC+0MpoF/TPHlPsBUN8u+PqrR3yX30A+hZYDqABDJ6jWxthYRRsATArMWgiooyKMmS1hhs5qVPYjB2MWAS0R006gCNZOwc8OhpKuNGXBfM/krX9iUae39gM+P3vfjSXwH1nAW24i8sEe2MLDZC0CMKEsO0W5qZBZkM7RkG3LIWa0tkfPjdqcdDZt5fOtMOTWgZeO43zzewq9vvw8Iu+MalwV/bNi96Fgvos4/UIYsi8wDQA7+zpB3GekVFBrj3QCyg5U6MYaQzYU31lbCuhZrTWCz0Yy0D0HpOP6XFNvCLP9vkYg3wBlwr/q9acnuUNH+5Tna0RADRGQolTSjZxIJa3BnC92uUT85tMbxFDRJy6gT/MeVQU/XG5wnHssi42U8objzA2UCII2GJtBRPC3clCdUuh9SBt6iSYeWA631xjXz7A5ErJR0SyAY+VfkQ1qkOzKgibZflGkXq3XAag7rE3scV1wfmCEDEy3AiBZpZgXUwaiT1EEGonISa5oQkzgRJRgh3LPJC+4hYPaYbZFGk22n+ieGPWstiDY6bzt/VHgvajIa+ATpgWYLeB3cam0KqAigChBx55EGXoLNixgMuEq9m9HNOpzRKuqukm290Y32k80xUdv2gfgtK+4j3wGVmygMBiRWTdz754mJvcze0KlWq9k3SDAX+SsqNX6FIUJgie3njj6gRgj6r6nEqkFSusBC6Dn7/3z9BqPcY/HssNUE76/3OJh3uF56kHTQdsMrLpZjeoOeEVaGhIulbS6ZgEVv7j4Kq0C2fwvrSC1pfeXnijAcjD2wQbJhQKhE1zuA+LOgz3++5rk8r/pFf3oYJfLKi3neo0B3YnV3XQCRCoTFJ+ipqLq6qsNBRq7Nt9bv+6c10QXoL/hfteS2CvarbMQtjTebRuDFVwaHc58a0VKSwRl2XzfF1RkpxQ2v1v7zpZkKFkk2znjiuhlTFZsMDphpDpjE7yIG5oirEJbgK4L0JQQZiJNkhXxks3n1AqOpibdrs9Fs/IG3d8k447+tpf7mFq/G4wVAhEKvaRgDIiI/DpiMS/GbsgYUmYBp/aY6msUCP72+B5/9/ktnl9269cYSuHrBNv/2oWhWeoEQ388IQhLWZOsap9nRRz3Xs2HhLwPKzOkE+QD+xVLr9AOLJQoq+TpZGtW/POwofPzzzIC+WYznxag9k73IjrdpboGpLo+R6kwRJMF2GiUaU1WXIlCaxHlmF+1gKQAHXsmpZMpSw9922sBgKrYayFTrMCpYr30Nm+R4oYuH6A+1zfUVTGFcJnoI9oUx2OwfwvmS8wYIG7mlVpBSwN7Sue72FApDaZ34ZRKE3spI599/yTApLb3K3tEO563/eOCsNDXWyoLs531z9Y+QeJuvf45IzzN0LpGRZKVa3zoobsOZc/zgRod3mNtVMSJaF5RgQqVlec79uuF1xPe3h/xWHb4e/0Kf4+vUBDw3XKHXVywlIjHpz3qJSI9JoSJe3qNYkrSa2JYI/UMZOQ+SP0FKnCjsn/UEcp0KhxbUyRuQmrK3y2dYL7h2Tnfs4hDKxYG83UAFhG8fBMR38TGOmDRx+IcK+JcvqqodxlYAsIlrMl6pV1LnBgTLYeAVSAKLUnLY0AeBSkpJKerFhKnrxMEYMxFZpD3PzOGHD9bQpfE2D6FbLAhkIEGnu0xa2N9bPc07SKlK7yXvQaEqKghmm6FUXqTmAduYeHk9Y4x5lLNCoe6MtyDrN2oW4XTtsUwxjG2PMwXtoymPwPYPJOGUKFui2oCgbZC+Vro0Bbnah+vf65KdHcDiOw+KOprJtTBkz9BQ3PHT9zrzl8B56/qSk+FxRUXihotfUIIFbvEHvR/PL3Bb/EauQa8uzlCRPHPx1f44eWA4UPA+JHXPd9FLF93mG93rWDiHq1QFxpSQ0a9KLCKOVHHRzB9zZhbTxHf/f4V4jP3uTICpxsmxfmbCf1+xvzDHv1HFonDzH11fu0xtZJ2GxV6TkAV5LuKXIF4CUhP3F/Kjglg3vO9ktlXHMzmjmvWnpMPt6z/OWJ6eh9AzRPb5waeGZKB87uAODEncBGrdLZiiKH8h98T1T/+LOD4K0sULUlMJ6w+7Z6rLPwznddWjjKIjTMaZRgAdt8Lxo9AupB1mPeCy1vBcqfongTdUXB5Tcu0MgJlqCy6+VGUHPBTlHMiU2pUTG8M/JsCXJhyK8CYd8DljaBRqpVJs5zXGNL3SVFF/IHvu7zlXhYmMhvxr3MQ+m9gIdR1THzcMgPgwXmzRxPQWCqkU1QTlPA+j3ZDZ8Hxwx5hn/HV2yd0seBh3uOUezxcdjhNPYopuJECQypAQ4YyzFcObYK1XqqyQWwsmVq9KLH+m20sLjq13iCryVoBrauKstNPy8gAXgMX5aisisZZEBduqGVggpt3Cu0rZJG2+By5YLM57y1duNmUwSp0SpQBkyfyxkcXeqYxWAgMsGasipcAmoBUBSvWvVmO+Hu8P9DEPVjqWROfJnISxIFIJgdlXn+/1OZ76OPaUIK+M8TQ/i1aYcAD0uTlIN0gkfbsoin1tgr1GmTmHbDc6mYMOdZhoe9a/0KUPKFChL05QZVB4XGBe+0hRbiZvAejP0JlAUArg8OuW+/bBZ1EABf0SkxaaBPCa3f6nSNcAuDb6R67uKCooGrAw7zDh9MBp8tg1Uejq5gCYenWuQLYYa0gAl2UQb6hMlThlJbENRaAJ2UN1QFc0VaDFQ56IB+wMWq36nAR1AzIraD4Rls2SW5AYzssd9oq//49qwq6sSJeeACJBBarFM3+idZRof0uRV5MzMyQ/hBc1d2QAYCFNReT8pcnmLlc71G2tgEAJsAkafP7Nl8VllgvmSitP+8vvoMIdVyLHhuBplZUaMUgrqmy61CHaHTxlY5f0xoUacI1AwQcw1Y0kWDWBxbo5IpQ69q/pkp6taNuJt4lS7brCcAW4VJtyXSbK1GgOyYNMhXInCk+NFK5NMzskywDsNwJyqHgZliw6xYsNeKEAS9lwFQTfvv8Cg8PB9RzQrTA2hPINlc2/237ChszYant39hCUVri7c+sFVL70MRAlkNov1N6JrjLQe0coLjMEun/15IGwVVfnLZN0EQ2bmjngFSBmYrCcbbz4AIAAdGsHK4U9ZVrOKeNYrkj755cAxTc+qJoRfGcDqi1ifapFYHWHsLYirocL13bha4KNLbHm2VR85cPaIwDFs9sHp0vkKGHHnZoRexSWtFEskBMALEc6KVehmhqohS8gXAvU2FC5aquXjxebtQCNiInpVNEQ+CWRJuhOLNYsy10iNnU1TGhhtQ8nTEv0M+P0LpGRVIqNHbALqCMCXmXrIAiaL3LWRCminTKllwmhKgUy7yrSG/P+Iv3n3A/nPF5OeBR9vhuIk35kCbs4oKpJNSnDvEcKFQzr+iPzEA6sWidLaGrFhMNT0D/aaG4kT2/2keUXaA94jlD+4B8E9e+Zi8SGRJ0ecf9fDkYQhW1xUfF7FDOybQWoq2BIo3FUEbrq/tqwvtXL3g+jbg8G109UMgnLB2L+b1g2aMF6m4DJkVRb4jc1cRnGsyih6iMtljG15ZTfb19pjtX+saChf/cAZ2yP7B2cUXwn2egVs7l4mcd97HasziwiiqqoftodGAvGHDNFNRdwnzPELl/ypClkipuIqNhcgbSWiC+6jP2ZCcKpldEw/NdRXg9o2aBnhMkixXEGLvF2c78COim35aMmWAIb22065q4/7orhDhoYa/9dxVzUswiLQEivZn/Pn6sOPxhxnw/Qt/NBHLOpO/GI1sDax9Q+ojSBezSgiAVv3+5xyUnvNmd8PPDIz5Ne/z+6Q4vD3u8/qjYf6ClzXwTcPxGcPrLhev0JRKhfSQ1Ne8Vy9cLUAT5JSIsgv5BKD5llNzaA9PPMpAU8WOH9CGScWN78Py2INws+D/8xW/w6/1H/J/7/w7H5d5AAts3XpH50g6IHCCXQIbX3cI+0H8e6V9tvq+1U9R9AQQIT3H1nYePIeeR062v+tQDTAyNc7yJXCVFHbm3TEXIBslM8vpnxf6HitILjl9Ts+DmnzP2//QEqa9x/mptFWCSq+jOijxIKwxGY0O50NlyCJgPgjIK8kFRXTW7ArvvFW/+hx8o2PhqRL2NmN5WlNcZUjvEWVqcrYnuN6tehu0jjsBeIhmRu4p5hO2dso63n6UAyl5pAVcdDQf6ozZ02M8HdxLpnzKkKKY3A+a7iv6BZ6qct1Xwf/n1p1sIXSZAejQkzw2+gauEqdkGBFI+QjTIOmOlAABQJUWrqiDXiPOSMF3MZqK9if/VCKDj6EkNK90HlhAoq8AyxKservayqiMAuEreqnopraLoD3atxq0HBlV00cyjpzsGIPMhYNlTQaz2nFw6FshYoDP9JT05A6yCPRidJDMrkl6ADMjAniPpIop2TT0YQKNRkfIlCAPVasWFnmDVJpvYYlX2pjJYdc2cRIgAORrgQY5TxIqy36tWKnh6cJZIz/QeqPZKAbqdYgGNHucCSg1RCBt6kAcvIs3WxmlYZbDAf9NX4qJX/rM4G8oLBrMhgB58GhvaSYSKFNR1HOx554pQCsKyaeICoDlf9XM2qqeqjXWwokglguLUnbrOWQCoKnheBiyb7KXUgCDKzVbXAggPLzQf59LLiggBcOGyKw/RFugaYui+nvDfqdAYr1GqjfiLf07p2KPSBEpsrXJjEoLZXlQyhoMmKvLV3XrQQoEwsX/GA4LY8f8HC2pEQZsYtQCoNSChVfmVUwdQU5XtrU98toRtW6D4MtH1SbIVCfG52tt62QT/DdWtFdBqyet2LlvStbURqoVrA2BS7Y886Jpo28/Yy18hxVRvs660zQ7Io9OJ0AQ2pFwXxpz65pRQgc3D4AvDXps5rts+gmCo3hUveJ0/fr1XlNco0BDhQixEWMmIcRETWQTnqcNzN+Ap77CzhuxOShPnYU+ZNKqa31OjW0VY/s17djXYFFYKYEuA3ZJqY6sGXdcFRWvWnvayEV4hcsRDnJYuwkTrlgnClwp8GsSq/HYO9BXSV6QhI/cRZWZw4tRAFuR4zXHefpBNQ9sXVgVnSwKNLlZTQLDi7HaucU8PTVTlmmLOJKR60hMABan/GgNZNG6RVXkRLiLGJGltgfiSnSUY23hftagEAWLa7D38vtoZm8XOK6dltj1jtOR2APJowWBSoPLsXMB5X2YfL35+6bke47kw2fCzRCxJ3V67CFtl8rrfSq7QXTDKugllJeuNVztXVde9GzbPrZAazwF5TnhZegwpU4AH2ub6x+mAx3mHH54PCHOguJqhV97ryjYbQ7lHFv+YhAF5ANuPkqxMI8HKvmn3AQRoC6yLCTJubWTa84sKdLZXZE7+2inbggLg1oNf0hlTKuhjQddlzH1iIpQD4EJUHVAtMa6R16C2poPNcRdObHPXrpnJge0jrWUGTCwW9ihL9ueN9dybK8Jphh4GtsMFoIymer/ppW1FelsfRL6oMu5znjY/0s7AMkZI6aFdaJZLwZPLzFgFAOoukW1hwTqcluxsj7h51raXN7GjoNCu2h4aWtLvc6Qm7hlljJAaGqMNiI2OLFkRjHXgW7hkL/7yNd+yn3KdD9dzY74TQHqe3ccEKYJ0snuaeNYvt4rQF6RUUUGwY5cWdLFgjBlBFKqCnCNUgeVWcC5hZejE9tVwtfraERcIWRAeU7v+LSOhDMByYHKGyKon+1SN9TQaMzIL6hxxKQmLsjVAFsayec++4u7VBV1XcDn1qJfUrkej4ub2gi4WfM4BZZ+sp1jWNRHU1iafn+9d/QOFD8vo89fXp/1/L9QWbsT82RdnXgG6Z+/vtbjXnhGT7YByO7DP3tZ7d+Sf02vB+SuCa/HCPXS+57zZ/6GiP+oqVgYrGtQ1htAI5Lc3WO46nN8nLAcT+TqzEOG2lelk68LZgLKybboX23N2su4xQaFDRe0qBaOeOaZ+v2z58f1AGkoLmC6HFQ2KxZvLPhjohyY+FWfAOqD+q68/OcmtHz4Cr98DuxH1dod8N5J+9TxBNkIuNUbkm56b11zRVTY0axR6zgdlTKn0VZxKwgLFy2lEfuotwFsrA6KspJQB5jPncR0fYndiZaDuiM7StLu0pMAtNcLkCR4gYhudArkTM0W3gFKA83tFvq2WsAgDnF1BzgLUDnFixeT0dTQon4sjWwP/8PqCu8MFx0uP88uAOkXIkmwzs4URpNFy3OMr9qRDliEgD6z8x8nEZ0wBsoyBPTxRANCLL50z0Z2khkiV1ptZxx4aA9GUWq8EfbQJgDBwDXMxmhqpuAAQHk/sAesSexCHRDqVrH1w2kVoT4GbRnHsAmibwWvTdsjYcy3VAuUK7JgIsVLlFTZSTlxdL2RpPcj5YKrD1eXppdHCwpwYIBdLikJE3fVtHku2CnAUhHNBeHhGWDbqIFWh0wydZkjfQUYTinEvyhTN0qQivMyQ0iGMFlRugnfmTYKPlwP6UCCiCKLIGpBCxVZZLixgddeqcxDS2ZwqswY9QLoEdDseyulYrtDbEgUyUCwonGxn6FlcaGrKFpy4qh5gh8idRaWFAXFNsdGeWFSy3tBEf7PaK3CX0e8WhKCIsWJZIubHAbIEIrxg72OchM+q45p1mr5XQ9uzqf593ECDANqBQjNFEV9IqWz9qFdotRfZQivwtMKKiyy1nlraBOmGedDSv0DroJbYtn5Vm3zGRhDrYdVcAK2QYVgFwSxplCUDMSD0iVZmRaCLtsMij8B8T0ph7UivQrFCgVVxHXEpkyW/9qybDUetPARiaBZhHvxdFQBSgnj06RNUlfeVC3s9U+QJmiLqrmNvqL3UKMEehEqhxcH0aYePOeKfDq9x113wzfhoapzVFLfNW3CyPxdtAiPsy/Qi3jYpYoV/tGTa54lTBdO5Ip1IYwznbMWQdf/vn2jdsOzXvR0C6KDQXYFmzos6CE7W/+xBZzAxlZqsst1xbXS7BYf9hK9vn/EyD/hDukM+JdSHnj1QPTB1RNuH59qQx6sESlb0Ku94zd5yQWozrWzYi0vkjwVEbNA7MmMEYBFLvcAJS4aBsksoQ0RqbQ4b9o4qth67V20rYGKCXY96GLnWLstVkafuR6itR0fT8iE1KqdbS3Un7t3zLZOx+Y6oSTkUyCFTfXSibdb02pLiENp+2BmNfLkJWBAwflDEE69htYepbPdwDYMQIEMPSev9hPMCvQ9YblK7v5qA6VUHFaA7VTtjK0Ku7AsdWeTujoCo4LTr8Gl3QBcqBsnYxwlRKk6lx//r+1/g0z+/akqzYdNDN98RzUgv0mzsnDmz7cOXGhFyQBlDo07HeVX/R+HfOW+5bpZ9wHy32cdtn1YAGCq6/YI8JVTrDXZETz0bFbT/PGDdjzNu+glFBaUELHPCcolAZpKcD9yD0tnWY2/ngh9BdUV3297uiqvduga8V9RZG92poHvJyLuI5c56Qmdt8WX48Bl49xr5QJbPfN9BVDF8nBBOC+q+QxmZQPk6SceFbBQX3Bw76N0I7dciw3yXsNxEhFm5nyyVlo25WrEpoQwBs4kFhlkpIGfrx+d8Ho0ZNa5z3NFEiYq0y6hFoJ9TS5TjxH3BVZBXJovvEwoNCVIU3UtmbD0QZY0Lqe1hw1h6+YVA7gyRN2STH8jPe/kViwuSFeMfkrXeYWVFCoD3isPNBft+oed5ULzfvWAIbEcpKsgaMM+U7z39vOLyzm1sGK81FfGkxuDgWRMvwO0n0mHPXzNO9iLlfK+YvipAZJJdc0A8C7oXYH5NxphUIB4DShF8nvb41B8wXTp0J9Ju01dn7MYF//79d7hNE/7v//xrHI8sZCEAMhb8p6++xS92D3j4eo9j7vE/f/8NTv9wR7ZFV4GgqCP3Xd0VxH3G8thDv2fBZ76z+D1om/PFUM84U6+nQKj8XtCs8OLMpO7m24LdtxfUMWI5sGUx7xl/nd8GSN1hOcCejWD3A7/kD/+x4utff8L3f/8Wd38TMd8D8384MZH+f+wQZ22gAsDCK2As2MJrfPo3O5zfBbz8modRehZ0LxHpiGZxhieuSRelKhafDJ8Eh99XK0Sw+KuHChkK3r17xv/23e/x989v8Q//32/YYmqCWfM9RalkEaQXa2n5+QX9mHH+nlTzdu4Yo0QDr9tFwbqTolw2Bfs/8vpvIzzlQSM80QTce3RF6tDoWm3TtcRm/Zz1LwFEtULgLq3GqiMtct3EV6Ebp5sCLtm9hclDFoR5Nev23pVGIbOETir/vdFCfcP3CqMhor5JhI4qwbUn2lI7NPqn0xO0V6CrSKmiiwXB7DU0WbAEo3AWbCq8638M+E3spAepOMo/ZQSqSav79dZOTHACDPAFkCh8HsUS2WZDAmxRAAEo0LGltG4r9va+hoQ56tUeoSUa7T3S5gHs2aMwIIMLM3kCAxgS5ZSiTbLzo7niz8VQzFZFtX/z97cDe0WFNcbr+97emv+srKhcuy4vCHw5Fqr4ka2QBYruQ+jK26Ww4jkXvr8P3rAAS3LX59jmdhUEXZE+GBrl98kxJ5shRBZuArYiMgIFe7e3tiHX9/0Tfw8w8QDlTlGEPVBxs9aqUpglkrGgnSL2BX2fkUJFikzc59ST7h/X+yLdFk28pH5B6dwmu62vQ8ELc5EN61GEGkpZv7jHLxjK635kVX6RFfX5cp77HLHiV2MY/GjwtFGmr78rrP9eLWn4UoH8p6jx22cgYK+osyxMjXA7Pm3O/0uvLcq3Rbe219++0wKrTV8+YH/PAEqixoGzRDZf7PuV++PVIphLxBwjzqVHtUkmwuC57adX9yNGgfd755/ekx+sGCCb9b1FTjQKE6Ww6WP90Xh8Mc5REbqCKsGGyGi8xlqQItyrgxhti8FY6AtSVzB0Gfs0o2hACBUlakO1rq+TD1XAPW+lt0lD8JyyWiMgiclU6RlYhmndR9v8CEIrne392L4sX0zJP2axRMaErvN9M8047+u6b9Yff457nDuSzM/UdWOxMXCkYn1exooKDPwZCFcW1aKdjVbggOhVbzpR6nU8/Fq399vs875sMcjs4/ZrDcrv8heTynq9rq141sRTFsEyJ5yWDi9lQAWt4BaNrciw0u43321LzHvavGjpFEcNirqQgqgLW5JqUiStBrYGBOsHbAivJY1+bgBMqptOTvAEViGpMmiv6+/xHCH9Ev7eyDjF5/dSI6YuQVWIsP9IuMLuTfisfA573OLsn20bQly4pp2V1Ub7p+aqnTfB4rYv3+PsjmZPaGi8wmieLcaAWbnZOinV9qxolie6Pruim0Kmn+NrMgOgnQkCXanP1maiX2z3670Ih33LYnQUXFY0y+9r1XHxZwVLuLUV0b9c7/6ZXHfr82ktGEEJGPRK9Ha6ft+XZ0upAefcoYSAfSJjwdutACCECu0LysF751nABQCZwxqXiVPUKXoUZo/hLH5twpfgXAybG/N9Q9aYylHw49zj43QAFNS/GSp2JoCYpCLICiJsJg1SoFDcLs4IUtGnjGOyvWjxh07ACnYbsBzDi7KevF8V6H0sdb3W7XzweVJ6QR3Xto6apJ2LFF5j/OEF1y0yXm2jbhRpZ4YOBES8r347ZnbbZDQJAUIH1KSGBqhUU2n3AkUwwkzB5vt+KkZXQRCyWrpQLEbX65jeePP+XRRYVGhiQbGxI64fVbv+ajnfv+b1Jye54d1b6OFAOf6loPv2gbLbh7FZTfjBl14W1D5iue3aoe7JICIRrS4WDClbg3vBm9sjHmPFdOmQnzuUKLi8Q5MpD5kJZhkVXnGXAqQXQbqs3xEnYBdJWUsXmsxHWNznaCJA0/FSTcSJI5RHVtbirMBLaIs+D8DhcIECeM4BdQ7AUOhZNUfIOUK7isP7E3Y9ef/FTMFEgDgUyFcZtQqW7wYkD4rF0LET1gqwUkyi7ARZANzZ5lGJgnZHKrVJtQQIsM3PRBeSQHJCcNltsYswAREAVCkModk8tYBFxNRbgXCc4II6anYSANg38jLbNVl1f+iahUXtIhGWl8tVv6LUyklogZVG2jeUIaxIurKRXicfG+svGGwzHKw6mj0AETbebw7U2gs0UfwswQ4vRzstmVE7GN3r8UqtN0RISIBukDBH7Hw4U7zqhUvngloUaSKyn46C/Nhh3gU8pB2GLuPnd0+46y445R7n3KGLxTZUxfyKFHkiXawKFx9y36uF/xMyME80ANeQEBdFPFdDsWsTo3ABpxYAiLTD2ymzLi+vieyK0Bfs9xNqDTiPffNjUwWjKFdATQqJFXc3Z7w9nDBEBkefpz3+8dIhh4TSRyKQA1Vqpdj0Uz+oibaHgiaCBfihr5A935suiuGBqHQZEzBwfnmv+aoy/EWQmiIp9z6nAwAXrQOZDmJoplYhpb1LkPMEnC9rYQdoNmSYMy1b+o5CNtbb+CO0N7JnV7uE1geZiL76XA+zIkFMaExRy/bUtIPK9j6ItThUbZ7RySxiViVuC+4dSS6F15giZK7QZYHmfDVGyAU6TZBxhO7JWHDbpGA2NTokaJ+oXGq2SelCqm4+s58r9wlTSXhZBjxOOyYBOWHczTirYLkPKBf630VjE4SsyDthL9MmwHLBi9oLvA+5OxuqM61KpCpEhGQwJN7+vXbsy63WC4TN3oCuYneYEQKLkFzaFBo6Po8oJyIUYogZxoLQVdzfnXC/u+DQzdinBZfilVfaKix3rDqn47ovSzSqlSryjuhgjSui5kFm3kmz4Qo3ASEDQxLeqynqN2QeaAGV9mnzvGvb2wQmqKPK/lUXJ9zucRXQMaIO3s+aOX+XbMXfCPGedbPdUd/L5wXBbYksuYwXZ06ZyE+39i260BQ8WC2kHEpQxD1R+PLcbQqEhgCZgE53rKSfC5Bve4SpIL5MgAgZRTEYSi1rDLKl+V4mxKcL9wwbD+0TwlvaYfWPM9kArt5sLKCQuedJ5X4+fxjwwxTx36d/g11acOgmBFG83p+R/qzi4+cb6GmkDpxtN2EGusJxmO8BTUoWktHmIYp8YO8n6YkmtvUckC61nZUhK7qXwgLhhv2w7dlz4SntGR/lOWF3mPDLb34AADxOI+Yc8fSyQzklSGKRUkJF3xd0seDfvv4e//bwPb6fb/GH8Q7fn27xj08jNCtCtn7SDTAAUaMXMkCf3gim10xoupdN8UXZM7p/yNgWopcbFlLzgXR3UTvLlop0zAjOZnh9h7qn5kfIivi0kFLcReQ77lvBnCLCUttZoTta/qgw3us+Hrm3TTtTMLfrK6uIU9l1nKu5IhiLoSWLpllSxtDOrPl+bSkKhtohBJQAYCzsyT3RIzyYdtv0mnFsPAt2P0hTo4UKDt8X7H6YCQxYku9nXLzk1kte+0gxrc0rnew7LAmrieJH2inKoQJDQUYihX0Elnu0WrIGtmScTgPOAB6wR0wF5/sOd8Pa4z7EjL/86iOKBjxeRkxLwtO3t4BExEkw/Cai9MD0tqKOivJuhgwF8+922H0A9T6KQJJiuatYbi0JfokEgizRnV9Vqv8uQP+ZxZ+y47P44dt7fOhvEVNF/Dcv2HUZr/dniCh+9/IKuRra3LEYroXxxrene5xyj1wjsgYWOW8zcIkYf8c96PxNRrhdUJeI/NSj/xyx+8D4anodsVibRaOCC/tu42Q04wIECGpi3KpJMb31exJ8/ncj0hnoH7QJeUINNTUdg+6Zz+T5V2TmjN8FPH54hyEL8oEx0vj/2QFCtPTybmUDkmHBPcDF+3iZ3IeGD7GdPxrINtHkiS/jz+4ZrU8aSu2W518Fax+0wlgR6BTwdBrx9y/v8DiNwFBR7Pu9YIwqiOeA4TMXybQMWIYBMlbkVwXpKaL/KFfsg+WW45H3wOlrxg7/mtefLjzVVB0D1WpPZyrp3vKwQApofSRLgZhSqPdhcGQtbhRWpINVV8aYcdPNKCNvJl9IPamjVdfOjM7LYIsVQJ1JhWzJ2UbgyhGAmgWhYkPVXOlU0Xu7spddrJ8ocBGycoO2gQ0dZ8tpzKghotstGIYF59NAGnNfcTNOOPQzLjlhMQRPRCGhYhiY5J77vokweDutWitlK4YbOuA9DdvyfZwBObK62YzD/Rkl9jCy31PtszaHzRbJVV3TAn9uAFywBt6n2nekh7mqqarR09fvkC5CYeqdZoeBJVPwyarrGkJLrsUQuRqtr2gjy+92QUKm8Ur1C9yseb2rOp9LlK/3i1V4IhKO94W+ohdy9ferl/+sBlwL9XiQWflvGyTSrZC2/RdhFpQUkHNEjBVJKoaYMdeIGCKfkYBo7bBWq/2Zk+7LYg6AVpENiyAY3d2tCcIsUE923K7JFca3lW2/Ra+UtQqdrcdQcRhm65cH7TB8ipTARAzgOg6KXb/gtrtgjBmHNCPXgNQVlBI4xx1xa0iuzUWhAFVQgaramt1c38ZewhUomVzzyxtIWZRCUu0Z6fr8WjEjbER46opcfcFEaL3OsIA+VBP4WgtSNhBANesgMUQEsEShXM8hKyx5r9i6H9pcyWoUZn6OuBXA5t6bndK22i6wNYzrl7MQfgrJLWW9Pv+5tzV4MuNKzLWSDWAtD9pxHxZDqnntXuEGUASlBpQacFx60h1rQBcL5lRQ+kqAO0VI4pyESLMsaaideICmyIsgjRyXNK1j4ZYssKJN3TKLCqD9ipY27YYWhSr6lNGngtthaiyYrAGlBJwr0WE/B+JQqDTaL7jtJ4yRthqt31hIyS2d7VX2462YFYDmKV2jtCTXizmNwVBhiq9U0xblGdXUwDf7Lb+D+1vIFaKVhRoX9aosWorv2ds9D9wPmCyRKRFs3qz0fDGENazUYOWeJ9MCt+3SFFuhKSwVjjhIEKADtqqzvGhwfmYhQm5uCEU28vmbMdQAonn2zGvkZ4vZBjb7txgg26Lk9pULZMqrh/xlho494g2LVGEuCHNGDant974/st2JfXvxAuQu4PNph3PXIWvAEFmk36UFx0uPJYyGpK7zD2UNPGsC6q4AHYuEEhSlCvJsiY718dG2Z20viZNJkjia6/uD8hmHeTNwDQIRpFjxq5vPCFLxXbrDOXeYloTzHBH6gn5gq8nYUSH9VXfGu/SMogFTTTjlHhIrmiXTF7VEf1WLLrMpCodkiYyFVt67KA2N3oQiYuwNMVrn4gVbV48P5ocbG0IVLhlSK4r1gofF9ixX4heBHrqNjZVZLU1MWsPQreuq3YSdmy6Y6QWmzMKxBrocqM1NR63zaNe0wNYQ6HDg87gKZA7t3yE2Fw4FQGQxJ6z7G9tA8o+KNfwwQ5aDFWS+gI9DtkQngmikekKmQFfJRuyIVKpdB1k2alUZsLCtgOaAkgLOexbkgygCFEPKuOsuqCroQsFUEp7GPWqKiGege1GEQTC/5oNOQ8HN4YLHYdy0FvHaaq9AUKoZz7Qx8l7o2nPehcziPyDIVgCVUwQuEfL2gje3R7YRRFKqHy8jlhw57tFi3MKY4WXuEUAmh7ON4lBQpoh4sViyCgt1M9p1UezW42Mb27TZi3Vdk22P8zgnGjgTgHLgz7uHyH5j36/V5pQlzvSIpRo1AtB/Fgxn0ojLyGc8ftJWPMt3BeEciFlZPgEA1dh3/pLsIomOnjNpbUJTKghJ0T3LGncD1LIwZN3RdlGBViDngJd5wJyj2dkpfead9WCxepw4Ll0S1IkJuPbMByjGpkafV9QhkBJtCvzlJ7b1n3r9N0lySe2yw2QciBJMhb2gKZjHFB9aHSKbqQ158EpDvkRkAMephwL41eEz3vRH7OKC49jjcpNwetXjcRrxh396g3CK3BSM5iOFgY8eCI/Pu4hlEev5YuK73BClCstKkdhaBbmNjfuGrjfJBxEvRlG6VZR9hYysdHahIr5+hqqgjwUxVBy7jJd+gKrg4WWHR9nh/d0L3t48o6qgvhIsNbaql+4LFjWPqAsjbhctgAJ1ser+iDXoA9r9ew9HO+QjML3pEJbU7qEJFG33SO0obJJpUXSV4AWQ6rNByJpFihUDADBBde/EzSbMqufqdyqL+TPWCnT9qvbqtLLzAgHQdRGiqYktaFQz3GZFslYgTIIkFgBsvMuA1cNrK8kf58rF9JJZ8W/3r5DJkvShozVTUfNJjVfv43+O/jLRkaFHQwhFqNZcChQRdQxtfqnATLlJ4+y6gn2/4O1wxLvhxeg0ivtdh+P9gGVKyKWncl3Pjbb0RFgRVuEzqQxEwyUgnQHAbRdgPT1uz3O91ClCZOIqWTeJuLZABAFIQ8Y4LrjrJ8RQ8Wo823BwzF+WHk/nEQDp1iFU3HRz6zM+5h5VA252E2KseBk71DkaJcl6pG3aBOX1LHu3ZFiLYcuB8755DL4AoaTWq4bK8yUWq/LHuFINqxj6uJ33azKrwQpAS2j+uHKeGHc1i6hKpLZW8/7WVYk5JZ5l/apwK/OyBiNbuuQ2qbBgiYeQQGfARUYAIOy4dzXRNVOsDqbAGSdjppyBdK5mI4Frqmmp67WkuF6z05GjcQr9muYZ6Afea4y22AR6d2Ai6+ieIeG1i1j2iUyJLT2XUxHRbCfe717QhYKP0wFP00jK49BBDfWEUO0Y4BzPt5VzvGMgIHaITmNCHQLSi6A7mb9kBKmmmyKAC7I43TBkeo/zkTD6CDMQEoAlYM4Ju37BN/tHDKGgCwVFBUPM+LTbMwmYOh5x/YIUOc+TlCYkl2vAbjcjxIrpLgIm0IXgYkVo/XYM5rBR1bap0nkiwz0szkA8a0OqHZHyokibn1fz2opIFsl4a0rtKbQknRUUgXU+ip3R1WyoMunJEgLq0K/oFtAS5fb7ItCxt0UcWkIQcoWW2irx+dChdlyz8SKt6AdhH3pxZfEde36CM3O8RlRcNRQIExF69iDS8gWZVknxOMN93GtHwUYi0Jte8vsbyJIhlwnaJejAom1YLHHp45UHb+2oi8G+SQbq850g3xZgZ76hFlTv04zbjurKVQV/++cJ85QgDx3vt2JlGJtqaXc/oesKpkuPMnOw3YO59FZjTnyu6aLojqWxEZpg07Yg5K4Onc13FYQ+Y9gtGLqMx2VEkorXwwmvB+DQTbi8sR5TUVQVTIX7wlQTPuRbfM57PC8jcg0Y9guWpFiCIt+wb1iTP9M1gWULGNA9kY0QTRIi90CNiuM3AfOtbcy6JoZSQW/1soIQMbHPE0JPW1emLwO1KELpId6XelqgQ2RxP0iLVfz5hlNZE9XdQOT4fkDpArqXBfF5ojL4vrvatzWaZklgHytcLMyLodW9Ue1ZtKKM68dELMVaZIJyzKohkw8B+hwQL8D4wdf8OpaX9yPXzilbAYmU+3KgSr+/Sl7387CsS5zq97oWirMAx0g15crexzALhg+MGajGC+RXFd2QsUwJcqLOyPm2I+OyWzCkjFwDvjvfct6qYCmRhJIIzG8qpnfcm0IWxFNATj0ec4AOFY9/Ha1QCktsxJ47v797EcQPHVa2FxoVvPaKesMNIj5FhCxYwoBv54jQVYwjBbIOw4xDPyPFimkXcXwegacEzYKPjwc89yOGbkEXK0oNiLEi3E84/8cFWgLCxw7h73cIB37f9Bb4+N9xzM8/z5CbDL1EFi4ugv6R4J4aK87jtDYnOkX3ekI/ZFzOPcrEvGi5lc2zEwyPivFz5fnfMaHNO6KhcSbzS28E831FOgvqM3ObV38DSI04vxdMbzmX4tnyClNN757JNHJqMDUh+OfuOxYRLm8F5z/LUGdcXRR4xTyqfxDsPijyKDh/w8/FIaMbaQnyzx9esed8CpAc0D0EhIkszHxbmFYZcSKdAZ2AfBDUvbQcTQpjPw0Bi/Upx5PwLN1I5vyx15+e5I6RCJop1V37sFZoNzR1V1WgJlLznFJLOwBBuARUUVzmDilWHNKEb/pH3KczFo3opGAIC/7x/A7/l29fs8I9uCqmkDLZsZm/6zPKPkCrYHnuIZ8S0OtqKP4s8F6oNgIWFHmf03WfjyVKFwABWO4AHStSzwR3TAt+dnhCksoEFoJT3+O5n3Gce3z44Q6aBeH+Gd/sKMByEyc8LHv8T/nnKFUQd5naPpfgZ1JT9xQF0Vg/tOx61NC+VcXPKb8e5ARL8Lw3VK4oCAAgyk1LcrXKr72+7HNyNc6wBv0olUFztJO1bipbACmcALwxiArNlf2uKTZqHfucKuQyMcgaU0NjqvmGajC5uupKqTw4JNOI3oNGDbjq8eECtj7VrAinBXKaGIwNFHCQ89SC/gAwYd/QuHm/ZQ2SrG8YgX6V28AOrkQdiHaooUf8DFAMqILKhCnjVXfCm3RErgFVBXOfcLzpcep6HM8RRcxGo4L+biOLR93IanteEmoWlC5BNBryY5uWoaUuRrT279qNWlWu+QlXtB4MJrmKrs/Y9wtueyKzb/ojhpCxWAHgD5c7/A6v/n+8/UmzbEuWHoZ9a7n73jsiTnfvfe/le9lVVhYKEBpBAMmiOKJ+g/4KZhhihN/AgcxkpqHmGtFEkJKRRhkIQQQowIjKrCYzX3u7c040u3H3pcFay/eO814BZZYyhNm1e+85ETt2481qvgYAsEsLAtWmuFiFMEtABeG2n5BCwbHbN3XwGgGGQUAd6gat0i23a8AEQhM9cMVPCYQwOWxV4apN/MOTRhawQyE8UDF4IljgqsSqMM3NPxSlArPC8imE9bMxKC91WTQhSEnvY2AgdNdzY8na2UppFXXbqhQbpFTtiar7poMXMX/ogMXmuGxUxRWm6KIVKgwRx3V8wzmIPm+36AtTE3cFUgAgZtA2g5kW4GavBagqbY43wbmni3pI2vXUji05se6Zz337Z+SKLmT80eE73IcL/jR8ht/iAUtlPHcDigClCxBalXXrIJB9BseKfrcgxtIQPqe+x5w61BRRv9RkY+VrGuTbikme8HEV1A3/nw0LpkqNBBRCzoxAgi+GJ+x5VhEhCHZhwdv+pll8EQn2STle7hmZK2OuylW8GSZ0sWA+JKWVQOEK6oNJa6HRgx2yMd1b0pN1/jUEEhsiw0RNaNOxblxVoHVDeC7ruDZ3ADEKRk1sugQbJIJ/1tevqgkjiaiSNrEmfMHVwM1Lfc7reRABJtq3TQhoseO49kVg0E2w8auUBPXCVAha3lNzGWgcf97sVXW1xgiTwlfDmMGXpSENUAHKBUSEerdTVfZo3eWNbkK56ZHeT5DHJ9DtLeq+16S+aBAgibVD1/jSWphQwRidrMLQBNc6+4ErhrDoOplOeJNO6FjXwqdpwO/CA7J5c7pSOgSQruL+ZsQuLfh6jiglWKFCu0vUefGdUINee/9uatSeK1Qc0BJddyHQNQngILjZTehCwdM8YAgZn/RH3IQJf7T/Dj0vOBe1+zqVHl+e75GFkWvA2+UGj8sOx6yF+5vdhDlljDGpGFVQ5awwa/HZbYwk6D1LR7SChXOxSweUN4LxjZ1+VaGe/p0+ZyFzRghiolQGGydC2as4lHPztEscEeaKcDqDTiMq9pAhKprJaUWlggshnGfw87iK6XURi9Gk0tMMOp6Bww5yqwnwKmJmjRHRYwmxNUtoTegvFeGiyXTe86qUbIJcQgrxLIeqWhmWZPBJx1aYgP6pwkVSARWmG18Hpek4jNooB7UPWG5Dg5F6kQSw7r+J6NUOyHdV18BRPV/Jii5lENR9BS0B/UeNCaZqXuD3hK7LyHMAn1UoaFlUV2SXFkQqmGrE46jF7i6UVueUoAJ9d5+cME4J9S8OCKMWC2pOwL4g/sEFyxTBXw7gUYWlwqgJz3JQ+Pbtb2oT/hMmTK9U8KlGgPdZr+l9VHGlGlAvjNoLzjcBsc94fTjjNk3oQ8ZSA8YxQSYCFsLy1CN3FeXAGDrd22Ms2PcL/tbrbzHXgP/3138TN38JHH9GyJ9kYAAutwxiwe39BftuwdsPt6hjhzARhu+0CXH+nKzLqgWENj+j4PX9CQ/DBV/yHc4YUBZtxJHNA1q0Az68W8wilDEXxrgoKtJVhiUA9aYgk3J6wwg8/K8XpO+OePeff6r0zqq+umBda2svoI+E7tE7sB5f6dq7e1ux/y7jfeow3SyoFNWS0+zwJGnedvi6YL5hjJ/qtaXdgtd3J7z7eIPyoW/5C2WzhjoKLkTIt3ouEqDmFSa4No+6F5PZZwJA2VFr8JROk9w4Cuq47db91a/fO8nVLlBZPSgbHE7tZKoF+mpiXFqg4ZBS2ULvgmDXz7jpJ9yESS0nIFhqwIKAc+lwKqqSWE2xjSaGpArclMYd7GLBlIMuvjG1G+nwmWVPIAkIU1W/JUHzbvMXL1oZAamacfVKHux8rVf+0F8wxAUdZwTSoKjjjC8v9/h2uUEujLTTp0UkeF4GXErCiXtcikI+hkR4FJ1w22qP0XfNgFquYIkeIJF1mSVYN8ATYAIAakkeVR/EukBrUnNtPSJuVeEQuI3AgxgHC8GD8+2zplXAB9CAwgKpBvNxjmSKqyVJ0a4k+b9DWKEaWVQhtpra6MWsZ2YxKwe9VWzwToW7UuNfx1EFKrzL10SKGGsCa4EiUtSCjPGHUb2jt24W1Bs+ohivcV4axxLMWix4AWGlXA1Gt1YgNSkCYlD+XwGjCKPnjEOc8Jx7lGodJxMnQwbIO1UGB5HKEBNS4CQo4zp+Vysgad1C5/HoM12TELfaUisbKCzOYEA0MqZJi04AwFTRc8Y+qMgOAHzSnTDvA7IETDmiCCMLAyWCrTvNEESqCCSgVA2B4eITVm2Gzk8SL2pgFVFphRvY2F0hbyus08ZFx03Q7HsiUSagowU40i45sIpTZYPpvoT0bl9EQAg6ZuMa/LvfdLPd2XIdHdngFjBUVTSO2QTFuGkDEIlWNu15KprBut1G9YhnSxIWVd5Wew5pFjoNdeEwbbcE83knhrrIGTLPkLqtbm2uk/E94R2kqLG5wQT93rvdgGbhBjmLtcG/XsUTfpw+YLSomyF43vcYqUPuI0i48ZCEBaGr4FCQYkE0nmzLoV3puwNyUR66dv3Ms9CgrFfP39fF4OPGro8AKoS8RIw5ogohUMUtjxh4wSIBe55xl/boOKMKN1hbFkbOKqjlxc1AgsBVIVoOo3PBGMYK1d2u40G7WmCg2Bh3GDpnW6PYur6uRA+bt3WjRm2IGJK6FlCsMAgAoajfLDtHFetx2tpV0egnLkZFy5ZjDh3rbofVpesubxFQLXBEFIgUDprFOuoa/MWLnve6N5HZgWAVI7H5Fy8azMVJFLHgaxn0OUq0xcK92Hk9l3BZtKgVArZ2duG8KNXq0zeQLune5/uUzyFAbWJs7/Pi6RXsODOkqwgsSFxxkyY8pAs+657xo/SISaKdCinkM1tRLWzGZtQxE7hqgb6wWhNW0qLarOtkjTrmlz0jPPTWyaK1sAfbZzKu/s8LICMjTwGnsYP0Cx4GjVvepBNexxNexyNu+YLv8h3+cn6DKgSmiloDLiWBSfBh2uO78wEAWgdvXiKy2bWUQccwT7QunRY8F6cj2P+XGxXkpNkKTdXW9a3oJ9sQhEHRGcg3nXZjrSDo9npkStNUBGXfgTv1qnc6mqSoa39W8S4wo94ONl6M9zvZ2FpqK/Dpms2bubst2KONC6qCsOm6lp0OQh/fKh6kRdt4tr2nWCw2o6HOXDC1JBPLKv4MzVFjFtOeENCcDQkl7d56fO2v5QaIkyYRwztVzq0JmO+8OSJr48OKxgDausUzEI6MY1KYTf1kAaWKz++PeL07o+OMjgs+THt8eDyAuOLThyOGqMrz8w2DB0U3xlhwvi0oPUPuFiRzYIixYpmxJvtuseMWQ5bM8aI0gWrIvvmVxhJyMX2A24q8RxN6xcKgx4RlYKQfFbzqz/izpzd4f1bYTP50AQXB7mZCjAUPuxE33YQP4w4fnveYcsD7aa9r/Y9mPMaEsq+AaZIo3JmwLBETmfCeIS6WO33e86sC2VWktxHxApRiz74yvvndK3zb3YGCqPJy5hUSDB1LeSCMr1MToGrF/giMrwF60MJgeqsK3dODdnr7xx67xKhJtQPCrAkzCGabZl7EjoRKWOmBFaZhoetpfUrgSRtOeafPJp6UB/zu72gQxTOQHgmL7PH1e5tXQfeOeNKkVXMUsy2ztcEFRZcDmbq5gEdFN2SDcXvxSMWDdW3LO7oSCvz3vf7aSe40TZimFeb59PSkD2IpoLlot6AlNuaXGlkNy4eAeMoIc0HtQoO0hcmDP1s4ouCzmyM+GU54lU64DReca4dFVJ3z47LD0zIgdhnLgcCPCeFMWF4Drz97wi5lPAyXVjk9LwnT2EFiRAUh7zUYmh+0M9I/cZOkv/LQJQJPBd1cQTVivlELEO+Q8kxq50GCX9y8w55nPOUdFmH8tP+AH3cfcMp/jKfzACLBF6+e0AetfL8bD8r1qozAFYc0ow8ZX9d70MxXUIwGTywaEVXr5OhEkjYgVaRHPbJ4gSbudd1YwqSJaY1qMQDRaqNzNQAPFhTiGcZsAgfWFYgMGTZDRaSJeYgFM1dBx65buZ/QDQjZDO33OgFaslHQkgnpV9EUnleeYI1qoRAioRgktMHdLSnTapFO4u5Y0X/Ia9cSaHCYZgUTLDiqAHZWROgiClcIMpgLMq3nIIcdaKyQcbLkQJNcbdYwRJJyNc0vGLCuigBhiagLAFCrYu+ScraqECaJ2IcZN2HCcx6wFC3QqPWTcZ+cP2xzpVYdCDFpF+F8ie1aVRXPNl4TnaLZuzC6gkrSAECfg6AGtgCU0D0ZN3xgzKnDxThyPRfcxwtuwohgX/Y6nvB5/4jHvMO/+vhjTIs+n0xVu3icwaQJfQUhdgXLEFBmagISvFhw6ZwR1++J1s3xYo6QWSpp4OZdCi/kqDJtRJgq4nG+5pzb86fF7LCYQCVo5mSJLS0ZWJaWyH7vZXQGsu6sxKDJrCdTLjJlfECHPsOTDX+Z3zKVCpkC0CXUwTybJQCF0H0UJEe99IwaYHB0R2ZYclmBMNbm4+iiU2R2FyBaBeI2Ylh1HlGmC+rxjFyn7VU2KOwPveouAW4jZNQHDzZJAFkEwgHlpoKH0oT2ftl9i7/bfYs34Ygfd2/wZ92nyML4MOzw5SWhMDTgzRow7/ba+e+TFg8B7eR+lD14ZHDRYmUNQF+1SMmzIJ0zGo8Umti7GjhVARmVo6mfBg20yzHivOswWSX08/SIBz7j8/iIWQKe6w7f7W9xLAN+df4Up9zhw7THeUkIJpgIoP0dU8HcaSYUzCO1KeDHq/qZdevR4HcSDN5mQUCDqg0EIDRuLS8Vca4Qm6tbig3P1aDlADs0fesmYEiOLS9fmHFlxSUCFFzRUhCMvjLrPNEkV1XK2/waJyBFlP0eEhhxKUDJ4KUo4mAhsNkj6fwEuLAG/ZvCiXdta3BbpYru46yBj1GKJDKkGg/eOe5WWI2PF+DjEYUBGdLVek7vH1F+8VPMrwcV5rMOOI8ZbBZJlAvKm1ssB7N4mar5/WonDhWgmVE7MmTOgp8OH/FZ94Rfdt/i5/EDZon4n/Bz1eKYgiLWdhXoql4rCUKvcOfIFbe7CTFUXGLCQh1kZshZB07pAZBqVWTzpXT0TRylJTxhssCVDOlkFkZzSDgLQe4I3V3Gfbrgbw1f4WfpHX4Wz/hR6PFv5g8415XXUYVwzD3GEvHl8Q7v3t8g9Rl/74uv0HHB42XAdE6g3nidl4BwDi1Zomr2Obu1SC9RQA8zYipYPg6g52BxCxonXecuWtGbsyZ+45sIEiCe1S4MsLpaEfCo/58fOrVdsgIgAI1fcgWNGSyCfD9gue3Vcu+8gIogPpu43tmQXUXtg6oAdQhXXf0wkwqrCRBPujmH8wweM6bPb3D+pANnwfC+gEttRSicNAZtOgw2/gFLZEddB7QRY53YAgzvM7oP6zpNpYLOEygX8P0AmYGaF1AVlLwKQk2fZQy/BbonwfAhY/jqiPmTPb7+z3ssd9pl7W8nTO936N4xglHllJduCedbRn3sMP6o4H/zd3+DT4YjvhiecBtGfFj2eMo7nOYO8uWgPu/3J9ymCZ/cH/HcLwgk5rKwQD49Q4TwB2/e4yf7R3wz3uKr51uMnExp2RJroxNK1H0vnivCrMq7NRHyDZB+fsJ0SQjfdhAGup+dcH+4aMGIBL/95hX2fzYgHwj7vz3jF7t3+P98+2M8f32L9DDif/s3fmvIiwWJKr4YHvE6nvDff/gl3n64xVgYv8U9+ljwJ3/85/js7x3xz7/7Gb75zSsLUPTZzWNEKVbECkplvDCjdoKbnz/hYTfiy4+fo38v5ierSVz3awaViKc/FvBPzsBI2H+tTYhse9t8R5jvQkNlNPRmApZPF3Q3M+TXBzz8W2B6TXj6+5N6MPOA86c6eYa3JtT5qOt490QNncAFWHakKFcGvAG57FXHBwTsvtLYMu807tYmEuH5j3Q8/ObjA/i/f0D/UUyEjvH0C8b5lzMwB/RvzW/5xtaCQdd+8hyQgPEThcfHCyE9a44yvoYh9Kz4MQFGDMN8j1WE9T/w+msnuf/0n/5T/JN/8k++93OHiFETEqK1CwCoQt2ma6gTVK64/ZwBWgh1ZjzPPSJXfFgOSFRakquCBwmXnCCVtTptXWAqhNl4CCl0YBIVecoBtajIlIqTaFBNG8+69iKCuPJBg3I6r8tiPlorXLQQ8hLwft7jEhKyRTDn2uG57DDVYEI9hKkE7RCwdraWolAP5/CUapv7tnvVghCs1QwbgFvdATL4rsXGgDZQNsnd9r1A8yJ90eT6q61l/oqAlxlg2Yj30HX3CriCoDq/t3G4MjTJhd5n/3yDvG0fjfG6SLSTq/AfUYEug76RwAR6YPycenUOV2q3P3R+AFAEf/67/w6//vKffe9yryyOKgMw+LYnMfLiz5Z7WY3nWuw7RSv7uTIuRcerQiRnFBszIqRWUcWF1Ozh2jiEPcZSSIUmivKVt9fkokaogHsXX9l7vDjHsOh9VE6owjlpIZQl4Jw7dFxaB7eAECAwQDqqEIqoIu1SAqpNcDaIt3e7iEU71A7HNAEW3zReimG1wKiuY1lsHm7f0xSN/eXWKj4P3PfzpWjHy2fXbgjhapGqL363eY9+t/0s0PV7tsf8AcGQ9qcCRGtVnkkgYnA4XvlZgHZvvXtKVSyhKVdJboNvWvJx9f1V8Kvnf45fnf45vvdq3d7N/TD+/Us4Koool9nQJ23NqbomS9G1bywJ59rjuSYUYSRLNpYSdN3O1JTRtVOoNls+D8iCJCZROy0Tc9uK7QCbQpds9hsX4jLY+ipUZR2uoHuCLIx51mLquXQYa8JIScc5VSwScCwDnsuAqUTMRUUElxJArdMsdgvrahMX0HhHDidsfzZ7il7AZu3PLxALTkEJsklmGdUsLNr7rFJPjVpSN3uZFXOIIJsFv90nWxuvbLUALQIB9jmPyLl1w79nTeT7fN1sWIYiCZOOoyZA2fi7uv60QziELQvgolyWsJAIRGS9n/A1geBUBT+PX334H/GrD/8DvvdK0fiftUGzIdDiJwIoVlhdraGW3CbJE0vOAE3K3x2XqDDgvMM+zPgu3yFQxdvlFpeckIsWPMSsSba8dQg1S7mlmP9x1TWdsiZUzsNXISppAel2DjRhLNHHTlnABmsESO23LG4ZS8KlJBQwFol4rgHAhI/1DqNELBvlylwZlcgQRmQ/C83XXfnyWtxzu0i0+6ZFeh1aZsMCQArrNurxVUNbeUy5XW+v45/W6W2dJ2nFDS9mcfaCjn2+CaUJxArrKlBm64RfbhVdA2O4KnT63sIZEPL1xX7pa0xbZ218FDSBNNeeUMiqrLSyTRfekTmOFvAil3eqr/a3ijXmEuC3/+v/HX/5p//194Y5NX63JejmtNHGzcKYz511ca2T7uda1nlVDWESLYHMlXFGh6mmFts6fVCEMFeNeQka68xjBxFSkUlCE5etorG7FH3AikrRh66iZHqeZdCClttA1iBIZk9IVT9LhqIplbEIQRa2dV49dL+Z73S/EYBZcBMnRC6qqgxFLJxZkTls6LVaGbkIDnHGp90zdmnR8V0AntjWW/XLxcygRQerRFG3CR8SUbRYHdc4pkaNWcWtAX3uyjp38w6rnZ7NKy6ESgIUQi2s+Y3NI0yhzR0JK+Kr0desgKEooXUuuaDtFSLE8grPQxoa0YdhRStil05pJvFcES8mepdZed8+Fk18LYwA1aAcYacbmVWUz31d9+xrEq6oD9s59td5/bWT3H/8j/8x/tE/+kft/09PT/jZz34GGQIkqCVGCww3AV581uqTRIb0WnFNJ93oSqcDNj0LdkzIp4Svlk/x5a7g6ScDPj88oTMRkMd5wDfnW5ynDvmUQBPr4p8J8ZFxnu9wioL3+6IblPNAnxWnH0ZC/17J2t3ROlwWLKLxpAh5UG5RmCvCReHV3UmJ37lXifN00hViRo//If4SXb/gxw9POMQZ76YD/jV+jPejwjtKZnz99QMA4O7VGa8PZ4w54jR2YF4thZgFeVdUoLLogtM9bZR5LQD0jb3RQw3mkQ9aLe0+MsJ3+r4tlBMEhEtF97Fqx6DnFpzo5iAN5qkHBgQBCLoxkHOw7FV3CcLdGuQTwOLO8mIiUwprky41qX9PFsh4YP4ehFXsQ49h32vnxCYWtSuCvg9wuwEPVABLzogQpqKQo5boi/LMrroUBBgXtAV/S8Ef3f0J/nD/D4BaUcqEf/YX/5Ue5DIBlLSLB2iQteWfVYGQqPhJqSpmsktaEZ0ESRT+Hi/adXkee5TKOC8dUih4M5zwujvj47xHraSd3FNQxIAvOEymgiiQXiOEZUpAIYSngHikBtdUqCtQBoXl00VL65J04HhXV4KJquSK4d1icPaI0iucpXaMhTv85uYBj7sBnw3PSFQaVOS5DHjOA56WAce5wzgnMFcwATEU9G7JImoaH0JV5cKeUXvdbHOm1pGHJeq8WMzQEicr5kSFdLZgR4DcO6S9Il5sLCTteNFkqIRpUbQJGWIBaAWPVT3WEv8QlGu9CZbJObb+2gb2waDqvv65QJOI/i7Z530ONVglr+NHRLm5Y4aa1CuEkqeCdKaWqOh7fRIqt5bnAjqNeh2ucM50fZ60ESnKGb/s/j5+0f89gANynfHfvv+/6PgYev0eP3+7T5QLiBni5zUqUqJ2QQWNAFAEBGbW/p6x5A6Phx1KZfw/n/4mft1/hvt4xi1f8GHZ47cf73E59UjvIuLZkCpREE6MkXbYvmifEbuM+pTQP1PbuH2zc1EmnktLqghA7aMmbU5dWLTTpR2ZoGIwC2FZGHPq8ZvTg1IGwLgNI+7DBXue8P89/xj/07ufI5u1kAhhKYxcgnoCGixfuwgVQ7egVsK8D1juVEAs5TUYoYKVM9kiofV605HQPWow4ogFRa+weUhqwa8MisCgLIiLIjCWIaL2tSnMxudphbB7wooCBEYdjGs9zrpW73vUm6SwzvOMq8KgbShqfTXomDKYr/NhERkSdAzxcTYEjX6ez5N2yQKrvVxklD6Y4JMGSC3xhQXbAvBF2v8VJaZIn1a49Pfa/K0+3iPjD3/8f8AvPvkvQNOEnCf8sy//TzoFfvSA/umC4duPqPcHLG/2qsDd+R7Wt653mLwYi9Z9EFLhFQhjGQkfuhs89wPmEnCTPlXagSHK3j0fUCsh3C6QA0HGoCJ3LEAEyhTw7sNNqy1BgHpKCM8B8UzYfS1rN6NsVMeBVtxrAnxuu1eA/qx7ktrPEYSNT8kdvnpSVeU/O3yKsSb8N/MbfDffWvE1YBFWP14STGV1hRj2M0KoeD/uwaRzrBuyDRPCktXWhYpb33kXRjnFy8GS4UktebqRmgiZ7nFQ7RFZ9zIt8ihtrP+gFkLLTcR8GyyJtDVip8is7mkBjwvKvsNyowKWZYgWxyjvuppSOZiuRJsAQAKDd4pQcD0Lnkpbb6kI6hCRDyqG5GtOHSKqfc/ufTZYp66j6bR6xgJoqDoho5pUIJ0r4rGgCaICDY3GrZglKyJj17Ul4w9/8l/ijw7/GcLbj8jLiH/27f8ZAHD4LQMdcPmUMN9FnH50i7wnzPcaR+z/MiKeY0uieFbhLF7UpouXiuefJyxmWfnussclp6bDkbig44L7fgT/8XcK7S0B3xxvMC0JOTOmY4/wPuqzvSlAqvhud4PIFV8/3+L4fg/MbJoqguVWx3c8aQxSOuDxD/UZhVHHdhkEXMzux3zJ5ynhI+1wOfaQc0R8DA1y/ee/+hH+8ua1qjR3FX2X8dBdcMwd/pfvPse8RPzF7SvcdhOmEvH67oQ5B1ymDguCxi6mwxAOC8pTh+EbQxTdEGoXrUBAqL0g31RIrLiMCaUy6qHg+AtTSR81jjv/vAB9Vfpl1bmZd7qup7MWUy6fEaZPM3jULnuY1coHQuCckAfNb+Y7vS/3/0u09VD3xHTUDu5yYJw/4+ZBDADDO2D4UBUCbroQ812FRM0j0jM1igQvaknGWSHUNQHdh4B/929/okn1zzLGHxFe/WtG/1jRPQu6t6YRkwAw0D0a59w69blX7ZXSwVBAbgcLDN8R7n9dkQfC238gqPcZ6buE7uOqw1N+gGX1Q6+/dpLb9z36/gf6w9759MBxG/zJhh9GSYNa2IStHmhIk+IXBsIzoxTgw3kHJsFNN+EmTeojOqvUPYww78lfmKnxerLAFEM1sWOrUPFisAfj9fBs8GTv9ngl2KFjC6ybukJeOOr1OUcgjMD81KHsGMe9ypDPVav7lyVa3EzAFLTbfBNRKiMXxrIEMAsmjnCDagp15aWa6jRv4+ptF0BordoCq1BH8Critbm9MMCmnNl4TFte0KZT1l5eUcxyBW3z7m5LSC2AlhTQLIWKBlSUi/L4jJ/lX+IWHq1r4Mdo1kZinV/rWhk8OoxBkzjzuWvHIlLLC8b3+Hjk3qEvO3nVkntPcGrVghIlECpoUyqSXFREyJOSHxjr3+vUbc5PzebReCbLEnGBVu4DCwJVMASXnHTBq9TGbXvuwYoDgNn2MDBbF3fRytfqrYfr++3K2cIt6PdnLGRjaSpaQbxV9WPKDs0njBftOJ9yj3OYNGkF45R7TXCXHtOiwRDbg9Fca70nq0e0oImjOEcyvKjWb/4INvfAK/ObbogEq2z649gEyuuzlpbUa/XbPyzff3ZevPCuJqAc2vLi9/5iOyn/OYm930WR7M+2w/9y7LhojkH4KSiUmgCFqrtYVEVDXXjHVikji97wvCbXV+fpEGo/ZRA49KCUQNttwNAYjT+8niRErMpgXT/KFWSwJ9p0vcnUc2sPLHPEGAu+Hm+VywpVFj/lHtOUIGPQzduQeJV0fsjFzqPqs66s6vtsvDEygSYf662r5/fRYbl+TpvKr8N9lfese0/t1NLjedY97jYeMEXlmJdIeL8c8P68QzWaCdrXKfVEOYybNYcEbKiFGtHGAm3W2avVohXk9PH5nqgJrT5z56ArPwsa6Cw6pqKjpRocm0BpgzAAVtSCjznvumEdXwIN8lvB53trGq1wZ98HyNclaXsDiYCWpSXVAICi6voSVbUZtYKDJqVUbO/l1Tqu3U7BBsJKLYCjpaznA6DZWHiXjQjcddZBWKAmpXa5uwg8jZDjCTSoQIp3OPRY1HifvNR2bn5eXLTrFkflty3mDvF43mFMsaEQ5hywmDc9c1WeOgKokj5yQyTUMWCzXYNmMnE5DeiUd37NX7Z2eyvyOH2hdRKtM+6e2y60VhfCOCccQ8Xb5QaJCv7s/Aa/Oz0gccE+avTo3ThHnokVKZkES92sJVxbhxebtb2hJuwZFmzmYLYC9WTdQ3/WpF0lEqgWxVXMg0a98bGgy6GNDbhYYQEfJyvomrhloFaEwUaoqxVVNsNcIqPCBBsc5eBrrRfL3YFjK7S5QaHxVDV5LVVjyMX2Hn9WiVGMiuPFizCqtzQCoViM05oC/n+Bcu4BSAht/obKiDWCLuXK9zwdBfU1mnBhGXTtkChN36H/oIlF3q0ceac6hakANSk9joDR3DoWGw83/QROgiFk3N2MGEvCV8/aMS2FUYvGKPGk9oFLr93PcYl4nntcpg40BrUPgz6u0mkCznNQLmennqyOclSPeEFegiatVXVlaiYsS4BcIsIxmAq65QgnRqkJ6Kp6QdsanmvAOCUsU8RTHNo6rtoKYvNYUEW1U5gEIVQUoBVxalhzEVTbIlnvVy0B8wwgCvJNQbgYJJwBvlkw7GfMU0JZ2GxN9U8r2CUBBp1fbinIRn8pExBF/y1B53s66pwpnf0sA2GuyHtGHqwj6lZR3iG2+1qDoA4ViIKauMVmrYvrBVqLw3gG4qPCssubRYXxkq5jisShFuNVwAQDlU6YnjOWu4jldn0/FU1yJemsTqcCIKAOFekwo36IAMgECwWYXiYsP/z6vYWn+MMJlHY6uWPQisameitG6heHX+SKeFTlOaEE6qlBhxsMaGIcv77BMR4QDwt2+wnzHDFfNCjqv9PAyKuEpQPQ66IZj8EgL/ogmjH6RW9uHCviqYDnoptWINSgFWUASE9qn+DejyhmSG7Jg0IBuMGkwSpj/y3f4eOQW8JaCqPkgNr8TAXjU4/fXpJCM8yvq1oQkscIzDoBeKKW4KpnJtomrBZIJrnNapDsKpQ86nmVZBu2LeSlp7ZBRzNQVlsgIIylGZ77gioWtLdgzBNUEcCl+M8zWESVCXv1OtBqKcDjAkKFhATpI6SLrYvUlF09sYiMmjSwVMuJTUDjYlhA8+rki3Ydxbzw2kukKY9yru08G/Qc+F5y0qCx1lXWzeyvwECI2mG0jcfEVQiwjlxsCQJIua7hvOiGmRTuFSdR0QkmjN/uMUZdUMCCt+EWRKK8jimAZkL3zOAtXdI3ZibUp04XPFPpTEc1Eg+LVoQ5C9JzAc8V4bKsm/Vp1MN0SQPGeTW8V0EURjyrEFB51tWMF8Zcdnje9fhvxz/CblhWxErVgk0tjHyOipm3ucdDRjdkMFfEoAH0NCbUKayegZtANkyCOAILDJJufLItnLOtE9kCeVOdZTj8bFvYIYCTCZwBtEQtui1rENC6UC8Eo2jJuvF6UkwmvmbrnF68FnK+B20W0eJOLiBE/Rwz0Hfr5+x93jWl7TkBYCKId4630GdPhB1WR2SK5TanovuOVE14Q8AVjYAI6NIaT7+E8Efd2WSLe/drZrbAikE5g04XcO4QugjuGDUmIECr0AxwIZz7Ac99h//50qEzlctPdkf86v0nkG8GpJGa8Eq4AOFiAhRmIeWc7HiKINGOb3rSSnB31MDf7ZO4VHtWquTvhbNVbK82eLdEMssT7XBxJlAO+Eo+xZdDxVef3eF2mJo1zHfHA56/u9HbkaomVPYY5y5iygGBpAX8z8cdyqwcktoppE4imlieJ+bBxrOLralGgo59D0LiuEnirbijAi1WPBNB3lvHaRHlr00V4ZJbkVmI1EZHeE0MN4Ug7dDbWs0EJFPU3hSAlN/sa5z9la1YvNFwaHMphjUQJ0XtCJt2R9RiG59nhCK6nruKs52Xd2sVLRAMRmnianNu+wAsgfFr5VO5npfm34ttwg9A9j0I9wAT0vszGl2GNx3muYCnjNpF5LuEmhjLzn3cLb5YAL5owH2aAk5BwF1BiFUD8WPU55/1PKNB81uIthnnYSTTylg7oQ7fdNXeMjBkYEtETG36ol03jXe4Ba9alNfx5/FSOAWMtMMYB/zfjn8HKRVbw4M+7qrraohlU5NbA8oY17VhXiKWOaIuDJkZdAlq8eFF+kVQLKlU/QAtwpRBVGRm0fhPWOMW+Pyoqi3SPa8CklSBZR+Bva39xZW2pRUQydXzLSFNx7zGAKzIJLckEjMQdReLMBYVIPXxLQDP13uFpKBj1+ymACjE3eJIXfcE8VLQmjwAeLK5QbCiTEU6a4LkdJswFaR3J9ShQ301AFWQnibQUpBve8z3nelNWPHChbVMNR0PA2L8ApJH4F/pqQ3vK+adNKuyutfr6j7omqgeq2sykveE+c6oI0aIHj8RZBOcOp4HnL2YRII3+xN+efMWU4045R5VCF3MKJVwPvWop6jisFEavxqFcPzmBsdvbhBOjP5J49Yw6zg4/6yC7mfQux1uviyY7hnjJ1bsg47j/h2Dv9mr4NFZUDrGc+2x3EbwhW1MiQoUdapkTfvcCuznscP/+PXPtaEgQIgKfRYhvH06YP4wAKli/3BBFwt+e3zA2/GAj+MOIah96PRKLYtKf+3mUXppcV05RhRJbbLzRBje6fg9pwGXXYfuA2NwFF5VxM704HBtQXybUHpBfsio54DuUZGT870g3xUc/iLi9rcFeSCcPtfkNB0VMpx3hFOXVLDKurjTpwXSV5R9xPRKu93prM1ChbMLdt8Sdt/VRket0dWu0dYWzoo4EiLIcw+QCl+9vYvqYzsYEmfWXGl8Y0Xe3xKGtxVyKhjeK0JWgkKzl1tB6VVJ+fSjqMJZx4AFAygBl88qdt8ybn9TUca/IlZ/8fq9k1w8nUC3GsgJRV0ARLTaZguLQCsXnjjybJCMPgDEBq+kK65LeGcclTvG8411bydGGBnpiZpBsJbTDaJTgfQMg3bYw7DKdrAObrwUhPMCnjLEFPiILagWUfGAo3nnpQBmhS5rBVmvo7pljijMufSEcegwTgEURY3SRRNZ2WysdAqgErWDylpNy96BmtjMwTeEfyOGt8HfwwoFVqGLhOm1qKDWrJujV5I2hVYUUAs6azS/P+f+ucegv3/ToXXj5isYpi3cdJm0Ms8M9BoY1c7sSRatWDpft5pljJ87oOcJUVVPsQKDdlvRuqvSR/1c1ao/5QLh3JJTMqGRxmmxIEdFdzxx3wRyLxPcbZLb3vRXVId099dytMNCmSAuPrU9jnF1ac5AZXBJDX4VR63Ilg/uwejVXFPCBlpxJp7R1OT0HOz5t+RwPe940aA/LIL0lDX4Py1tw/dkiMa53XeCEm1IrCNiwWKYKkBAOns3Qz1GSxcwLXs89wbNBkBiFfJKK6KCAZDyvyYxE/XOIG1zUO5Kps19s9u26Dwtjvgo0C4mwawDsMJUoeMc7o9tHT8htC4MCVBiaGgNZgawgMe6dlihz1Ny1rEcghVzip1atFutwS8Cq/WVCGjceOGCWqAFwJSaFcUAaIJAbXzV1lUjQxAgW6fdVb/nBZT5OoH2QsWklimSYlMGb1DqLul3lRlS6lqE2b5CAHodDzLP2qH1IebJwFWn2lAaJjzUrm+ctEM09hAJoH1U3vwk6KuARAUtaheQpx2WVHG56/DhsMPx/R7DBzbhMQuAZy3qKVzPNlbRNTc9O1xKmjBJ91RaoOswPh/DyuWiljxqpVjXBp4yZCGEfi1VO0eXS0DeBTyFAy575WdBCOUcEZ6MX95zq9SDjEdp3GFiTbC9aAkBYAGeMIEMROBVfx/LbNV1qmu3t0adAxokSCveOv9P9wY9djaYaj+LuQboPteSVN+HoeN4pYVYApsCkKAFAXtv6TcF4zYHNuPIOj4On6RiBZt5AZit+LkmjqACV3JukOTjrGvSrgejhwTteJEAdFkMgTKof7lYV9XQC2prx9qsc7pNKaDnsxZ4+k5VdVsB60WSaz7tNC3gp/NayAoMSI/aBfBkFkVEqKlXIbjOLL2sM89Fg1fJAM5Kuis3DNmpd2Y4Be0+mADUFrWixWug7HWopGfSokZdCxvuCqFFPy3OU6/fm446B8KYG9qJatTu8p5bMKraKNr1UeizdlDkfcRMMFs258JpzLQcisYqSWMaCopO2C4NJTPKFICJwRdGmMj8OzUOazBku162IZmjWHFeDL4B9Z+VFawSZqB7LtaV1hhsOYSGVvNutaLybD/y9VREE9SRTcRQ52jZq1BYiw3JC3IGhd3EPOTjzOaHmHWgQGMJygK3OtQ9SousnMsVbQLQgg2yju0mXsZiNDUVFuS5gp5O6vH9oOgCfh7VWvGmR94rOiec9QFoUcjiK9a5W/YROa+TtHvKyJ/6Xgjkna6fw0cdu9MrFQNqMUVDjJiVWxTwYcF+P6MUxjwmuz0CYrUL+kn/EY95p9xWYSSuWEJFXRh8Dq3TqJoBGnemRyuGzFrc9LWsRoLEitubEUvdYfftDOFOi5WD8m0lAIffAbe/KQ2qn/eM6VXEzMqLdc2GMmgBifYZ3aAUEqmMZY74cO4AFsRUtKADKEf41GH4KiIfBPTqgj5lfDjvUOrBts8K7gryrTZWrjR0KsxZQK+TxtAKVZJUW6b/qGM57wn1FLD/WrB7p0nqfKvUgum1zo94JKRHgrwW4CajwGKJCpSbivgwA38Rsft6xPhZj+WOUZMKOHGxhLGjJlpVk4AeZhxuJpy6HfI+Ij0yDl8CzIRiUOT+g2D/bW4F+XwT8OFVRNnB0IhrgY+ssypMOP1csDwUK8arpgCsaFZ2OsR236nCfzwDfSSEgXVsQ5NykNqLTa/ICn8CqgH5tqLeFtT3HdJzQTwv+Ou8fv8ktwlNmTLj2RaJDY/HlRf91eCuVgHTTqsrhmqFtOx0cQ9nRjXYZDp5d0ehQj6o1GvXK4XYBNo6WYU0uYiXotwKptZ91MWwostrwCq2OSv0tSI+z5DIWG4TauAm0EOVDCaA5mPlAb4GtLaRv+hYeUWFBBDbwcLZuwlA7Tab3AsIgyolA9UqyfFELTH26uk2gPINxgnn1Q3b3YZhC4exIN0X8+8959YdIaDXKLQt/lg3iLqLwBbZzrYpiKxd1kDK5SZPnjfnYOfGpM/KYWlgVuizeTJSERA2QiyyCXRjbEGP3mAbc9uu2LbbSwQS0wyuqwrxOmhlhd4xAbHXc/PjVVUzVT9FxxAx3M7EhVXihVpRZ/U3XsdIE+vIQDxhAx/a/N6TOUuGnSeWztWgohvxoe35A60LSUvWTqEpQusP12KUz6toytUgl29nC4jQuF9sHQqH80qEVW0ZJQSUIA3RQOegHn0zNTRGvGAVQSAL5i6yFjD8kfG6uHoBCFXHvUP1XkLu2bnZVpAif1aWBLUOgEPRfdwbr1VchIS049eEdoiAXltzL8Wytve5dXX95ePY45AtXFrWOUjAmlyD21qFTVLs76EqOt6331cKUC0g9q/28bv5LmLWQkW7YdAbXtGSekDXQZC0oA+lNEi00hO4BaIqNqPrTfeom2YwWGc5M05dh3jhBvGK53UN56wbXBZq6xcApGex4F8D57BsLD9s3dj+uwWXi3KO3DoLgPF07Z5U7RJFrN8VRkLpE4r5dQsLwsRN3bpOFiQHDwZJl5Ig4GT32B0DFlXiD5ON8wUItte5oIZCx+18tnsFABequxrXtg4I6T4AURoORJOgcFHe4pWAVIU9p6rPtPI6pgE41Hf73Vff6QWWbMlBMBE5H4+AqewH5fb6us0CidoBZUDfu+GiI4bVVg5eiMhwSDyqFnWi782+5rrwIfu5uVp/BbpkFBlDH/h9qOs8LIkhy+aebAuerN7AtQ+2fmhxJIwFZCKRZdREt/Sa4KbjKoij5xNQJ0YcSffovPIJXz5LCUBetEiRTgbFs/e4lzDnlTblY9Y1RbaIJEUOUfOXhyi3kopguiMsy4bmY8US8ngimhWXUbWWEhoNCkFQuwrsM/IS8HjaKS/dijl8YaSj0VsWNLQCAN2TJt3vkKz+fVFRQ54NMVbQUEvbzysEWFqzwDUX1C4NOg8jXQsTdrYWGiSemNuwjpcCmQjLbUDuPW4BKkTtuZj0mWcAYFWT9/hEgHxIKENo46UV2UQzRBfv8aJMuwfG5VUhOkdd6LXEzZ5e39xB+gT3ZS73O9C+R01sOjLrnu6Uo1DVt1zXRoFsUEHjp2qhGS5Q5EHFWkize0aizyOeYTGJ3vc6awJXCuFSCWLQY5AmjRwKTkuHX18+QTarqad5wG/fPqCcEvi4QVxOBElA2asoU3oiDO+007rcWMHmSZ9HeIp4CgcMDDz9YkDe6e/iKTQFbmHg9Ll6bsdRLYUAW2+LxSWzXlMZlMYYQsV03IFOQRMvu+85ajK/++IJn9884+PTHjUpRDuYuJojFjy2r3PY7KuEZkNIykcXR0yKxS0ztYQ376yr3mu3c3pwvjw11X+345OoejuUCfXbHnGxdScB3bsAedyh/ygog2pPpCeYZavmPcpH1/vRPenettx3OC5B9YrOSmmZ7/Q880Gf+XRPCFM0pJQg98qZLp0gGcokXhRpUSMw3TFclJ2MThpmzxnsHkwGrSbBfN9BmFA6XU/TSXngpSfUQbm8y8Hms+2N6T2DS8DuW0F6XlDH/0hJLpllEAID86JdBmDtSKTYYFJtbQ/UuDc1kXo9PlkQ8p1WHo4/ZeS9PhSqOliH9/V7UGTnn7od0VUHt41CXRyjQT/KTa8CAeYfytMCftIIpt7sFKblC9ucEZ4vkBhQdg+onQo4pSKIPYOLmn2HEc30W8uWaA+3DGjqZS6sACvhtkrIqJPTW/WuIBoW/ZlDo9JJ1E7iRg/RP9om4rLrTG0xi6NuglrJ0Z/XThMvvpRWeHB4uQYlDIp8FexI2MBAMylvuNMEtaZNd8cG9HKIGgRVD67WjYCWos/g0KH2ES6c40kneRetVlA1+xtPvmNQcYc+avA6ZzjPFMAKzYvWoV9KgxvVweGWmrjQUsAeOG3sjrxYg7qsgRgAlAJB1vPaDSCzQmqJr20sZKqMW9gslaoCaWdPMoD9d5p0zTeM0lmnMii0zFEKvgnFsYJnqwwaV0MhRqT2MYvxfxYdz8EFYzwZ832RSQWVinbiaVmA3bAKMfn77XuCebWGyYorBBXD8eQ8aVElTGuXCayLeOmoKesJA5L0WOnJBRTQFEPjWYyyoAtsmBV2LWxUBNI5pUnu2nWLl+vuFi/WxXfYshWwqDjsxsewjTcvAnQJCNZxdXGPaoGCQy7jpvtl46KJg3g3y7joZGOVHAo9L7oe+riwjIZsnCvs2ToGop/XIN8+Q5qk2Ruax21LaKMJZQHaFatVOeSl6Hf5dW/FpHxsh4CmYrd9WVe58eynWZPkJa/IAGadL1krHGHS+xlm62gsAs66PuYdlLtkQVbtFPrEGeifTJHRxHPyjkFVOzDpqPPFqSaOzOFZNJmzoE+7oLLeJ5toPG7msYjCTn19Ei8iVcgEJAK6Zy0Epmft+ORhhTO+VJcsgwcRag1RI1B3mtjBaARhZMSjdufSs3KSdu8zwqVieh0xPjCkCJIXiOxcWxGpIVs2j8b/T7pXNmrCIkiPI/iyaNDkVA87Bo3zCt218YjBijtlPfYPlGzaOKdcjWJiBZ5SDYbMyncEgKwBvlt1yaFD7XXsB1/Ljc/o5yg2zrVQPumcteISH0cd032H8mq/Jtmi48+frccesuuv1/QiuvZvxkYZAjBasmTUAsSgcylpgpt3ATyqBQwtRUWELlpsFyZMrxLGe0Yquv+KWfvUqAVKcvTOWRocUxELJhLVCs/mE8maCId5I7aUBf1jsUTROpSLQfSrXI95UjSVdgbVdiosgv79hHCaMd/fY3pFDS2naCE9tzL4WEJDB1xRB4KJxEQlMuSjQjBpUVROemb073HlW98KsBabVOOEejNjq/DqAkEKb1x5oaWjDbxfkB5nsMUQKIJy12N+1UGFePQ+lEMChtig5qrobPBuE2HL+1ssNxpjxdH3VEYtgsCEgIJKDFCwPVXteeb7iPEhWJFN4eLhw6zF+2oJN5GOr3UZ0q7TVIAuoCZTEzcLInqaWwJ9+cltm2sAMH0y2FpaV0j6NnGu1BJomE7CVpHn6WeM3UjonjU2LLtNobhqQkZVE6DD1xUlrVBZ59svY8A8mUtJJkWfHTJSKngaB/yb8jn6mHGIMz6MO4Q/22H3wcZO0CJN9yzIe8L0Rs9reCt4+NWMx192OP5czJJJ58vuO0J57FAT8OHvKGVp9612oOOoscLpc8bzH2rymI5etVEeqCfw6QTsvq1YbggXIVXo/xix/4pbUcFfNQHxpxX/8OE3+PZ0g7fDDtIL+pSRuGIeI+qzeYIb+oDsO/1+aoxvjbgpWLFD51I8QZt0VW2BagKWm4o6aPd6fkXgSec/YPlAAJZbfU/6yNh/qYnm+IkOgPs/Bfbf6sKdD/p9+2+qwfGtYDEonzk9A/tvTXS2C1huGOGicVgZ9JgSBbWvAAHjpwG1Z8SjilPlHam4bS/oHgnxJDh8W3D49SOW13uM/3CHbFqR6o1L6J4JJQHLnRVgL1psAQOXT+IV13f4WAABaooqSByB+ZU2KNxl4PA74PBNQf9xQXx7RF4uf8VOdf36/Tu5zgvzPx5QucWAB2VpM+m/x2GzilIVW+AIYeIWRHtAG2Z9uC6B7kGHQtgs2DEbGe9+tnKLdSYkoC2Ymnx5N8AqhCIK0zVYCrZJvJ/+5vOeELjX5yr6g3YevqCX3qBHRE1cIUzeWd0s9FWTZg/8HWbkLybRqohtCL5ReIJbE9r7t4HZyvH1c7frDASCVsaldTz9cwYvSwxkAbEmx9W6qRI1iIULhjCQzbOxKT5aoVwqrV2wFy/yrqt3GrzLy1irZJvxAmDtQnjg/qIjpgmQiUtVfXDaBSxXXU7nzWwTAIkBUjZjNphYiH/nRnDCP7M9D+VcbarOTOBYm8AOBBCDeVCBcWa0mhUnaR0rEjeAlzbmxLp7QioOocGnf6a2hGtrm3DVhfb5t3kWbiOCIs0zElUTLQlr1VMtFGxRT2gJpz4Pe080VdIZqBd9hjV70L9R3Zy1QOXjvHWx7VRrME9BtsDLgv4WhdP6T3k5pBw+adVtjwyaEN4P2Ak5hFkYoAYztgQ3heYb5/Ojdb6z3fdMoOL4Uy3qeYFGL0i7ildogk33tiFJZINA2BzjyibJE2hmLVrwZgz72KYXY7WU9bs2/PGrl/+ufcYgoJ6Qs1Uy2AsYhsixTkKjirCAiRGiGCRXu1wtQBP1P1VhDDRuHS+ayIZOkwDfGzwxEAbEhFravagGy7Zkrgkjba/Pu5mlNuHDdW8Q9c9lsqmhHq2KPhAUV+rfACNAAEZrSlbbjwJQRS0c3BIpXJRa08Z8MZuEeH1MB3+wo2EMxfBSkIdBVzBQX2u0I7MpbAFwSyCwrr0IrD/ze+KaB9ux5881Eipzg/8DGlDypli0RTCQqyuXdbz7fFpRKp6QyYoe2NxT9+xWf19Zr2e7pntCV7GO9eLoGLl+3rQ5z+28gBXElroWfoyqIMn++HF8jIiAl6Kw1xjaeA+L6WoIIEHA4Xqv9g5+g8t7vFJ0/LuAntNStMBnxWovDts+2j6/1GuLvLaG+z4KsPh7bT0fF6RTRfdELRZwxBBVbXI7RcrHFi9oNBB//vXsCBWsAWhZKVYvKyRtzoguRyuCwmM+HxtoidcW1VOTjT3Y2mGFARc6a+fiX0O259u4bar37Xn6zzbv9/NKpPU+snW/6r32Y11dm6xrkApVQdccgaLLYOJrXgDd6LwEi1URrAMNtASVy4po8GGs0f+LGwugCay1dRA6vzbFnK0tDBdvGum5Cmz9PVPbw9szsySQCApPna/jdSlq83YSamJUAFSgEmhIRdfb8bGusH5alfGLxsBhJOWRZi2SOyISAhNJ0nXA12QfewCQB/2OMGpXPO8Ngp2NOx8JUghLDq15pLanm+cfgCkHfD3dYSnc/MrPU4dxiajniHBRdWIE3ZvEEG200DqW/R7asBTrEtekYp5h0kaVFk8Fsi+oVYVpVe+HcIVei4CklcKhY1O/v0ay+7J+aVgAyfrGGrRJMN/rnjo+09oUKNas6NCKTVIJMMtCp1G4iGGzEjLBOBCQd4z5swPmu6i5TQKqXa8YBxy05jRXVDMrcjrqdj5ovph3aDmaWgyhJcLa+SXkXUC83zd04H/o9XsnubIbVhGbFNckxmGRxt1EDArvY9IN/AXE1TtG6WmGBMZ8w1qlOWu7vKkFEjZ8GBvskyA9WRW3U3iSQ6EdpktVkA/JOrcZPGddSHJdgwFA/09K5pcUgB6o2OmC5JtI1g5jEbYFklpXyRfqbaLoCfR8qwpnZacbg3Zm0SYdSLHw6bRyJEiA7lhANvnzwAiTYPgoV0H6cmAsB10MyqAbVHfSzVSM8xbPFf2HSSvozrt1MRHj8gBoG7xXS2sXlNA/V/RTBliQbxPyzkQcgn6vV6P9nviz4yLgqAFASBpoafJuyZQ/h+czUArqmweU2x5ucwOqCqGyTjBX6PPZRU2OJlVOblxcIo1xTXBIKlliS6BxAU2zcq77TjciG6PSd5Au6b3povrp2Yv6HkBsyYeczwAHUN8Z/G8TYAHKVzbrCSadGzwXhDEqd6ZXXkX/0TrNHaP0tFbps/GsqjQeD2XrhAtWiGAysRb3SM0VNGknl8QKBS5sxGw8NIJ0CRSC3gfvehQB5ww+jYAIkkPDI6MO6Sqxy0MwrjVQ0jaoBSAENhn8/oNucA5liSfteqydsU1ye9UBsMqzcXKbiNqGX1IMqtmO4UlBFuU15apWN8XE1Uq1ANo6/tm773qfCMYVTFFVAg22qHygoGI0NtZdkAHw7rIgngo6s2pqXFzOK3x4nPR7Ouue+c+3L0tEBXavnf8dgqrAOrw8BmDJkGnS3XrW6n2DzzOpwJQnw1X5t7oWR73mlwrMsHklAQgEmjL4PCr8dLHrurvReTMv65gysSJaCuJcTJmREZaKMBm80wRfFAFAwAh0T7o2RLOqiOcMvmSEXUSYN+NNBHFcbcG2VALljJeGQpFAQFABRC2EroUOqhU0FoTTrOdyOyiMNrstSEBNEVSA/lGfyzIy8rAWi4S1Og0C+osiDuaDirVsPWM9UYhn5cp7UAxAlS73ysNz3+9qfMRGN+lF90nbB4R0/ScR7N4B3WOGF2S8aAto8RGAKW5nG8MR6gPa6bi0faMOHeaHHm6Z53xoEJD3AZc3ce0mV13L41gtMC1XCRadJ+0Up9jst1qiaCJ8PGXQeVrH3BXaRddnzAvkdMZWlZn2uyba5lZoPo+pWuF1C8XPBSTc6AVYMug8guqq4jd8e0Y4ZuAyKnd3P0D6iHzbNw2Jq4JaLuDTBAkBy81BOyfQgBVkXEJeBSH9T7oIhvc6looJrHjc4p1fKkD/bJaGlgC70jMVUfGkTZITjxPoPEH6DvnNTt9brMg0FXSPaF13zhXh3TMwTjj8itG/3TU9lNIx5rtgYpaWlFmxHaS6H2BgEUIegP4DYfguKIRyD6iVk3VDz8qdg63LAiC24qyOoQxqCAXn4bcEehGNhTbFztJr0JuO2glEFeR9NHhtBk86B1pCSDCVd42NJDBkp0WZFu+Qft5pW4CdL1lCQWvCEs+C3VvTe2Ar5BWds+lS0T1mCBHyPkA4KlVgskKiAJwr+DSthXsihFo1WRoiplcq1tNZcTpcFoTTAgRVqSUR8HnWzvPDDstt0oKaK8hn226T6ntwVcj+tkDqljE16vPZXTSJWG6oxZth1J/NB1qLg5bI6LPRLmTp1KZSAiCXiHkOoJlBk3budt8Rdgk4/7hiflUwfBN1/0/AfK/H6t+pKFSYK8qOES+Cw28Z6Sh4+HdnQIDx9QHzQ9Vu4KPOg8unAIna53hjaPe1YL4nnH9cwTPh038h2H234Ov/fQ/5gwvOjx1AURPRMeBSd+iMfiWkkF+JwHIjkCQYP+zx34x/DKkMejWrkNzXB9DCGD5wU7svvd2HH026Pc09aKbWjJIIZOMz4zYj9RlL6FCHgMNvGG/+9QXT6w7P/2nGL754hz//y09BR27QZi3uGLR9X5BuZ+RZeas1aXcYDFw+YyyHoJZ9J20C9o/aEc17VgGrN4Jf/v3f4d1pj/df3IFmRnzS3Gq5q6g7QXxm7L62gsFe5yhZEcLneg1q5+QUtRqBp18wvvtPehsqWnApNxW0y1i6oPaVZ8LhS3MBsHxG10JLmItqsDz9Uju+EirACk2+/XN9v3e+8w3wdMsIEyP9JKJMEfgX+A++fv9O7jaw32xebbMH0ERWBNol3VgEbKueDQ4FrUjUCaa4WltQLARQpHa81km1z1WvusEgt96wEGwq0FjhHS+5cPZv31KEaZWLx3os5wPrv13lUo/rXnYeIIS5tkW7Bm3FO0zZoTnaDXVoR7Uqy7Zbq9UgtkprmGr7nAfbmthrxR+bDaQlAGXDqfNnZEWAl1XK62dsm4JXTsj4dR21JLd0hGW/WSQB1MVQn2SCRAFrB3EzLtqrFEjVQa73m/GSG6tdOS3/VDtvdssi5ywWAXjDVWrHFw3yc9FCRg/9jP0MnRhcz5KY7dgOrJ1cYqgA1YvkxIS5rr+vWKJSdPNdtBMCrM+7cUYBQNg6WmblM2khRvk9vHZqqwWxsmrgvuQjUhVVg7YCRlMbNZSCft0m0KzA6hdsiWCpQA7a1XwpXlR1Ia5WVFLdJVMIXbB2agSQII3+HCY0RMYP8Qw9oKYCIEozpCfoOGpUf5tfXg3ednKbv7IlwFrhri3Z0+7n5vltx4mtYRI00ZOoCVtNK9fNg6ItV1gCgaeVB9mEdaoJ8dWqfwP2DHC17jh/bL2/AkjRZ+gd2BxBQZrScTt3WakHYvDkrYdz61pbwrd+R/3+cyXSLoT/3BPxrdJzZF1kTCzLx5F3ycnmvIoj2RwQv08rn94DYIfb86KFGg6K5HGIuYrdWTfE9gjx87CxqEUmgYtctGshrQE0AboKTXoqt26heuhql65xIQ05oSrP63itQdo+Embr+AZWUUCsY9pFg5IlhjpmydZStDWbip2frJ+/4pb7376lCQFSraute+k1dxbX66v/kqHjGbzueSZaAwaqMJq1V1CuVN6tQQ2JF5RY96PZ7rONM4WyL1eIp8aXrQCRrNBgQAur1ca9r0GmnNwux8dcreve3RYAWf92/YEXnVxFZdG6xm/REdMCLGUVZzNagie42mF90U0uyu9s6KciCMt6br4etQ6I0U/CqN9bY7xas2BFk4Ys8zlg90uvVxoctXXVvdvtNJPt43ckjs0TMqEuqUpRiQCkiyg1gYrCFgFL6B067Gt13Tz/qgWYeJFGfQIZ9LiJtuHa29zjM4vRttz/9j20/b+0ji6ga3oN61wBoOsxtCMIQxp8z1LQO6i+Nvn+RAQkVdPddnJdbEnjmfXc1KqGADL7L9tPXCSJFrVQyxwMEo2rBBem5K/WXMo7p6w3hAwV1Gh1zh8WFa6jorBkmrRAzUu/7mfbF9uYeBlXbe6zj01HXblPKqDPNF0qlh1D+jXJevn81r8t9s6kAAjzOe6eCbu36mt6+imArq7zgayzW01/YdGfq9irraOTIBwnQ9sc4AVrd0+RKLpc9Hq/4sXg/wXa6axsmifaBIipIKeq6zJZDJDJYjis62mQ1bZmZiy5B3UFsStq43gxMdhJY5dt/qEibBqDOc/5CmXGAMWq59JV1KJUOZ4yeEkIseK2mzRWrVgDnU0sA4KKGZoXcJsLpMk2ROH8dVqRFFsYsETgvlNY7/gqqbvFpW9IPOkL5MRNtDYYrbKBJMiaCbSuA43LvAOW1xmohHC0tvhGkFHYULmjNjau5rI9X79P+SCod+poodaeRiOAFuAaErbzYxBK3N6ov/r1+ye57z8CaVLl0i5B+k47Qs7HGTrIzaABz1kr6K7UmR59U+XG+5xfDw2e2Hnle2CkU0X/3RkAUPbd2tmqugDlG+WIhNGsBcp6bFf95bniSigjBEinHQjnsukfAk8CMX88F69osK1clfcIIPU6ALY8EipenbfqoVdlqyYAgFzBibevBvmzaqp/XqutglTXQKQm6OJkgydcNMjjYPADXiuWnDWQrJ3yYGlSTqqLODW/YAsatrA/niu6p7xWTCNjugvavbBJtRwI4xvj8sxkSZBWqnkWdEedQDWuFhGt8BBZA7CbvSooVyBcluukvNm2mE9eEYSslUs+aufROVzq28wQu2YtWmgwJ0MPGXrdCLdQtaSBmkyzQsFygZRxfTC5ACGCuqQdwJx/cFNp9kJMwG5oQSCMuwYq4FoR7Tk6kkE3bWodWVenlqSLIp223SuygJXAx0lFpLy7Z9cjZMGZd5its9iu2XmpS1ZP1peJnnV53RbMbVjCedZ7LwIqAbwweDZ1x858js/XQb0E6/ZasLhFPLiIlH4v2sZfkwcmaDAVMSh+SdYNsYWXRzTKAs+1fYeOCW5jggwqSqKJondwNcBlbAVxvNiRbxSxkAdufDtVAETb1BRKC9QQwXmvSdu4WPClfyRFEO/Xe+9FBz8HJgChPQsZR2ARTVa7pJNnkww0Hu+2ELMdg5H12NtkIGiATinpMd1maCPIgyogyPr+LgE1tODKYe3CrOJzzK0z5euGZ9wSGdKt0E4uAhnXYMBVkeOl6NwLBLnRjh1fsu4LXkRx/qEdF0W7HICuhbLrFA2ymKJ5WIPgxtHuor6nrF3fGhnpOIOfLqClx9YPFVD12nipraus43yFZwNQRfOTw1dt3BnyJyzSEl4uVce46Jrt4kFl0K5jddEXD3SqBbU21pzawEXnmj4PPbbPc6qiwbU/P6DpEjQf+E0kFSa1Uyo9o94Q5oNqYejajavAKl4I86RejPsswAJQF9Qree7aGKHROIG+HvdRiy+5QM4XFTvrO30Gllw6hURigHz+qa7PxzMwzZDDTu1+iii/HdD1rKEU5PvzwH5Hbexfc8/pMgJpBwwdpO/UCq8LTTwyTNV4lrpWCFGzj6mWBMexIj0vKEPE/LCGUlprWff8eFrUeujQIe8Iu3cF3fMCkoi805u77LXDFS+WGE8qINb2QN+nGCi3PZZPVY6ZsmkyTKtdFCogu4T5vtN1MBBozraO6zpSE7ckg7OKU4WpWoFjvZfCGn9R79ZGGuvE83WCqFBEDWY7s7hxFWlHdvn7WlGejYY2aVdtfKVidN2zQraDWR+pCI2tQbZ31C6s9ZtsWRh0jY8fLqBxAvoOdd+hJkbeK9pQBTsJy8G0MBJZV9qSPwbi0Tr0UEgmJwJ2hpCoyn/38SGVVMwqUCtYs6EoyLngRKtGje3dEEMfWiE1J8ZyiFgOjDhpl5iWCux7tb67LOgvi9Jm9gkSCXkwnvukY0DX2wgJaxZ78zsBbqV1xZVeox1ctr23dHoP5ntq0G0SoH+v+iDHnxLGz9TjdXinm7J2P60gUW2tMsh7GMniSmkdY9/z40XMJg0oPePymnH+saD7yDj8bodwnnH4uiLMqjviUOTdN3pu4xtBea3vd+RY916fzeMfMp5/qvNC/s0NhmyUqaiJE0hQBsGyddwIgHQVCILwFBAuhHwIWO4ysHATUpOgsOh8I1juLBb7blAO8beMeAKm18D0prY1QKy4WgojdAWSKk4/JXz5X96p9s5S8KfffQL+kMyKR5NS1FWES0LEMpnPsK0n6dHWgQ4oQwUvjO4RyAPh+WeGYLKm2+5rwr/8f/0NlNuCT378iMMw4z2AeQxAVssvCYLzjzRu7x4BPknjGc8PhPNPtHA9vKPmbEBW3HJ+Mi/GRT4nkCR0H4Hhve5vyeLB5cAoidAdK7rngtIzxodgnu8AMoHPocGUn35hC4Xnz4sjRkyb6D+WT259OkI6VXfj2xsNijx4BlAPA8q+U6/O06jCPFYdC7MG3A65LPuE5aAVruCiSYPeGIg0cSgqGrySVcvqTYf50GuQcbYKm3ObOquyZFkFjjxfMA9T3nZzncMHgXq9EqTfBBQETa6nAg4ZYdQJ5t3apvTZ1Cth3QBqgR1k5Tj6RuAvso2LWLkLLfA3WA4vogvcTrkGjoV3dWWwoJbN8U20gGe9Nu+QehAuBtPcJrdNNt/EpahUJcR7kBnYVPGoLWx5B+Rb7S6I+fU69zgGQnEYnnF+r3hhFoxJ3wFRO5Qw6C3Mm1aCw/CydkardseQCzBpgYKGviW6jUfqnU3v0PY61nguanXhlXpPwHLVwOp0hsgq4CA5A0HhokTW0f2hV0sWafVVbWPLYNeV1BtyE5i1MegCRkSo+842zwK6TMYND6DAqEk3Mp4XyPEM6jvIrl+v5QXCQmLQ75/cwyFrZ9GExPx9nhA7D128AGGQf51zBQgGCSeVxZfAyABcPIu3Yk8EBLM5cLQBW/CvkDp9PiVZsatzTo6fE5oSbbXPgwhilX8u0jibWkjwZ2GfD4AgrN39vBYDdKzw2lHajAUA1tFiLHubc8mgeoSVbxRJu9PCSIegaquLwsaECGTJpcSwQqZ93G01DQCrBFVgIkgp2kVPBtXcdKle8onxcjy6uJB3cNuxBYhq+UbIkGVRkSp/VdgOrecnKep88/Nqx/d7imvkhOimp2snt06FK8EqZ1faOsfWeUKuqEOEdAyaq475KiiRgYD12O1eySqCdbNTuxe3UhIB5WCVdO38SDA7Fb8uLxQFWi3RAHCv8H1J5uM6lbUrZKIydSZLFHxeGI++KNUAAlRD7bhVm9IzLPln7YKEybp8AvBOF/ploGYd1Io/NpbDJK1af1VtBxQp0vYvW7/No7751vp6tB0mS0UFo9yqyNZ8R5jvN8ktKWIDBEuG9XvqBw12KbHWaFJQpEEuqwjfdgxV6LOZF0NHxfVZMoACLXQMHcqdrmPRFMS1eJ6AOYNNXVc6shgAa5Hm5ZywgjZVS/i3G+20QAaF3ktvHr2+RrW1ztBnXjDplZe/dvIrwsn2CIktOWhnYcUJmjOI4ppoCBDOWS2aDJpcOtJcvWxoWJdlUziCcgErod4FjG+SWnW9n5s3rK/NlAtKCig7mwO1Ay1RO/cbn2NXX9YOW1HF0j4Ah9ien/Aq/OS2VVSkqXnnQeMQR5hxFqSjBbW3QSGhntQSbP5Ti3tUSb+iBi2uuGenGGw6GCKn9NqFY+uEivEs3R95K8bEpwvk+Qi6uwW5r62JnC47bnGT2N/5YNBQ4xA6b1XVadEaMIAVvYw64ZoP3CwmDRn4AjEHWounW3RDGLM1aDrUjjHdM6ZXqlIdLlUN/npdY/l5BJ1HyN0B+aFH6RjLTWiIIS4mypfCVWwyfCiYBxcWgwmnAvtvdc/059fGJgGuKRBmaIJCAXKbUXNCeqK2HpYOcPX5LQKLFwLNFvu67eUGDRCMf14Mgjq/KQAC8j6Al4D+Y0acGKfPApYb7aJ2j9rJPH8BlPuCnLWDDKjDiAQVT6pJMHzHOPwWJnSGq3lZk1rZ+HkK2byKgjAS+o9a+Jn7oJ3frHPS18MyCORQgInRvVURze5RiwHTa0K9UdoFjwz3UpdKCLGouvMb4Bh0P5fMuDwN6M4mXNsBJdp8vMBQfKRFW6NtoaoQl3ZSK+q+rgXPuNrupJM1Cj8Kuo+E008j+p9n3HQTSiVMu4jzhx34pOiS5U5QR6B/bxoSpg0wPwQsDwU0K1VBdTOwdnR9OSmaJKcjwBNw+LZg/7tR948u6BizuC4dC/pvz1heDbi88TFsyfJIiEcVc5w+0XWETUyMF9VzUTtYAc3/kZJcvrsBcbdWSwHdEPbD2vl0Dzfguuvlm1wFCBU8FaSjLggNsjkzgsmny2HQIGOnHDBuxt/K5dUHrfBCNj5p6zIAuuEVUa5SqQC6BnmTFFdo7Bb2tOnsxLHAxbRkUH5xmKolhhrcbAOktllBJ4hvGsIr5M0TZ98MwiQtOQtzbV0tDWr0MzVSMxFvAT0rHEC72b7YeLcEbVOrXdAFMSeFBvt9ybXBAL2768WHmrhNJCAZbFNPZ3kAloOg3Bbc/OgIJsHl0qFkRv7YIT6bCJUtKHkIK7e0VICU14lW4TTYzlJNNTat8CyRK0Va5yFplzesz+oyawHFIKrunUci1slNa9UbaH6JflwCFHq35YXFqLxE4z62zWvbKdsmAYB2pTdiQc0fsgKAwdI84bnixmpir8ERrV1X/16s3RkA2hUh0qTdoa/+8s/5eN5w8q6EarZwJ1GInJivJYoopW97DkVADkPIBIoCTgypWIWrLLhosaXAPA2xjn1gLeII2pxVgabN+ywYCxb4N2izBWBrUmzJkxe0tqgEuwade9dFAP9b1w9X8Q6Y7hnLjfrX5RuFCOUbQ3jYdcQnRno2SM2zdrwlBU3CvVCztaXyZ2CIAQDfGzsANMGNUZNkAO5nS0B7xvTiM1IqruD0BlVU+LMlCPOsNi2AdtU2sEceZ5AL7+RyNT7b/Mqbcy1YkwwL4KgUYAGYCEXiCt+2brpCyjSJgCgMk4Ku52L3SBKvyIaCtVPpaz4A6VTt0pWS4fclBu00O2KkCKiWdt7a7dDCZ0BZhVq2aJ1J9xXfT1zjQX/pxwUgokPBAymDV1d/f9bklrPyJb0AJ6LBZb2JWjA82P9NFbNCixqqwroeu0brFltxxz1C/V5SlXX+M1aIvEgLSOD/J+UT1o5VL2IHTA+qaikBKqzC0oRW4seI9OwBMSFE5ZEx6T31/aNN9xgMPWA/CKZhEKMW5FwLYilafJsXgAk8d+uz8JjClfN5nceNouL/rwJA2jroPtIC8+7dzDG5PUAO5r8LXbMqLHCDNJiwBILsO5tLXgC3gLcP4JsetWMt4ghaIKedSF1jl1fKg42ji7ABy606OOzeKiKoGvQuXorFNbV5F/u8rzZuATSPaCHoOttFgGsr3DVBPF87BagbRBlnVeatMzcLOwnciogqmqb3K571PVu/5mbZUjUgdsV9h4FuKU+e4AgDmXWMlx1MfFP30Qb3r94Rlnbe7ThVFf+9ONaaFSbgpGOcUB5uQLc7uMK4dMqBzz1hfM2qOLtXz9iyE+DVrJDQQiqOyQk1MsIMVdjO5kE/69oVP06t6Ea0Jn0NTs5oc3BdM7hRLFzA0Mcylwq+VAzvld4Qxop0zA3VRcXig/2gaxdpIXn/teqrNF/4XEGmQeGv559GdAJ0HwXLLWHq9fmo/Io2KvKgNj55rwlM96QxyukLwvGnantz+6968IKm/N2EwjK02CXAfKPqv7JuJzbZbPp0wPMvoGvJmc0yBoiPajU038dWSPQxA9Fxstzqveo/AOmoPlTVtBEadclv9QKksyD32mDioiJGlL0zq4u1F1v5GLS4YfacOr8F6ATLK/0Zj4q0oIUQ35oPFus15b3F9AGAecPSon8qEpYQQfuCOCwoU0A4M0DqYQvjtaeTYIraIQdUEdkF3dKzaprMd7oX7I0/e/lcEO9mlA+hxUi86LOdXmPl2i9A2VWcpg5zCZiWiGUJaBQe0vOQYDmCjQ0JmrAOX0XwDOzeVsRRMN+Y880M9L/p9F4xUDpBtDG97BjjZ8o593xlvtO9g0oEyR6XTyKe/4B0Ht4VUF+AJ/UUp7MVMQiNCuAUTwlqcVS2Ymj/ntfvD1d+dQ8qvErwAwpx3KsPEo8LeJxx5UUHNOgUYEHTIla18+qYJjMhWIU1MPJ9b0mfVlPDWMBBu5Lh4xlIEcsne9RgYiJLXnlbIi2Ro8uk1WYm0GDBW4pKFK/SrsWhjq5gF84a8NUUUIZoneNFF2JTz8u3WmVzfo0QKXSaCZg3gT3QOLxCQO3NisiVdUX0/YFQY1T7DasMr8HQJhFgKHykGu+hCOKk3C39MjsWUfOca7xPE25x4ZBys28wb2GV1s8DN96KV2VAwPRpwauff8An+zP+5M1fIFDFl+MDTrnDv/zqJxj5oBX3QtrR3TE4BwR/xh4AbcQh6LyAxhlyu0fZd+A5g0+XawsUoPEOpU9rogJoxXMcNahKiiyQ5yNknsGvHoC6XxO5GNSXLll3TwQcGLRkDRz9FRhymSGXC6jvQft9C3YhJmLUeIuWqBNph2XbgYMll1nHGZ0u+tnbAxAHuJ2TK8FqYL9Nci2xdksXUkoATQtk1G4UWZe3Jd5m9YLA2i33e9dUeO0+uldlE3Wp8G4jbTmZRPq7ubbrkRA0yfUu+VK1GBXChhsuiCf18KzWadCxS+33BDstjVc3PCsAVrgJy+a5tE3JuTakVfbjpRU3AGiSFq2T+VKV25+hiSip0FpCGbSyPt8B84Mgv8rgIePh/owYKoaoEetvv3mF+l0HYcbwQaO8etaqUxgNeeAdLmYV5mHWcerjJl+Ly6jXZ6cJrndRy+Z5ue7AtjPX0ABYIfWlXgtsMQGXETVnHceHPZpJK6AQ0ZukCXZVVANi0KKld7hzWYsiXniyc5ao9I/Wzbvp0BSYYWv2lK8RC11ATQHhsoDnjLpLKHstnKrAkY5hRaUU0NMJ0ifU1zeQqP68zdbI1u2WJFtyxJdF0RBDh3KvYj1qX2YFNLuvLfA0wZdyN7SurGz3ErGgElA0kK9jpGgDX6PjRbtkVBRSCgASehQwysEQAsMqXOVjuiUjFrABa9csjvr9YSoIT/O6ZgBrMO2B9naM+1ixomYd1HoiD4TpFWHZQ6vnn0wIsWK3mxG4IgY99nf0AMoRlNX6LE4KWxMCuNNWGOUVEdGoAg2lwMB+p1Zwh0E7VOe5JbhyuWjCPvQN8eNoGBXU2RSfxcaPJxs+12vVAiUA3N2g9klh4q7cb6/yag859JrMXDL4aVJFYoucnQNe+9gSnXicQV4oYlLhRU4WXFZIoaZWGi1ZqYlw+TSBBEjPigqoHWN+iOg+ZgxfPuna05t4pyU1dYir2J89u3yIam91zOi/PUMio+ySKpkSAUm55bDOc5hqK/rBCn016c950gJsSNy0Nmqne74jU8I5g5eCfh8A8MrzYx2LoFXwZjmoJoew2nDRZi1zDqvSqkjFfm5FC+XWYW0inVWDZ0dEbJNlLoJ4XLSY4h11604T21gMhOmzHSSqvV64aMd8vtG5dv5CkG8rcJuxux1xu5vwt19/A4bgd+d7jDnhd/0DLocOPDHiiVQhfVSOYHyeEb79oPGi76W+jh0Gtaa0QtZ2Dogh1iRaXGXxGBXbE+eM+HG8Kr4DaJ+vXQQMUg/SIlz69dcq0vbFZ8ivD6aiPYHzSrN6/qOC138G7L8sOHHA9GrVUJEATA+EfFgbFfExoH+nScu7/yzj7kdHyP/jFX7yX79Hvt/h6ReDiQZZWGHuJyCFtuoz3Ty0diGaRIc/PuJmN+HduxvgmBCfGf1HhQRfXhOm24jhsV49fz1PTXAOXwm6Y8Xp84DLZxogUAEc0goAcQT6xwq6YZQdAYsmit5goKrJb+21kNJ9ZGwtvnwdR1fR3ai41PjUo44B6T1jeKtJ5/RKIL2OfRXEFPXptY4jVagnL4DpDSGzAKMVxCNQ7rQ5ECYVYZxvCfm+AKmCjRM8/OmA3beC0xeE8noBPkaFAWfBx78n+NHrJ3z5tgeIbU/Q+zD+KCM9TBjPSSHJXcXp3AMkqCVoUcj4yQqTFki2vCICJQBVdK+5+zNtvh2+nkBZMP+NHeZbTcwPX+n1P/0hlNNtocRyoxSDxjtn/VntgBoZpUs4f05Y/tYZfb+gA1ArY+Gu3b941oLKZOMqzDB6jxVl/qMludFwJ26C7oHPouI+DXLlNjybzqjAFgJmkEnZto4vsL63ilYaADRIcBNWcP6iRgg8FRVnEdEKJ1n10UWORFYPS6KmzNsqwS8hT/79GwijwlJoDUpF2iZMWfkE8HO1gEgq1DbC709x3qAF8K0rtV3VgQZp5k1V06ojTSRhkwz478Wqw2LdgNbR9uss19crzC0R0MTbfh5ow62kpgTqlT/pdFXoY8YX3UckKhhrAlNFnzIuqRr3hzbdCAK7qA/59UuDensiIGzCUxXXwZKPjQYz3SQtInoNfX/9EFPUhDPGNfjz63d5fz+G8yU33DxU40f652ux6G7THnFRqloAjmsisHkPGY9SItvx1FS8WfhY8q33ntdrsnEolvBS2QZ4L8bNli/s96pdR73+//Znfr0vEieqZqsFXHeDtmgHq96vQikFVMOmm+AJ/vZ7bYzRy+MBLkjQ4PziY92fExrvNszSOJ/bYoBYt/zl933v+n1dMi/crdBUMcP2fFPQ3U0Y+gWfHk4IXNGxrlXf9LdYugQxOHW1zle7Tdvk1Z+ndR3IrIa0e792MgloHdwmqrN9Pt6icd/TlsDYsYlaF4wcL+jHcw42kyXXKyrAk1atpv/QWPHCSVjPw9W1fQxv5qpbAtXEV/fk6vsWQ27Iqvq+Xa8b8uHF83LlZEfoXBXAtuud3TPx52zFlKu137uOm/UZxYWwGEiMEjZjuK7rNxcBls2/7QEWo8noXAWcI9ysqsjvGRrvS0yUyu0WtiJUCtXU71CEgCV6XhwW67Iw4By0Nl78+djzl6AQ3RrQ1vTaAXVXcTjM6GLG3TBpkmuT6N3uRv1uLy/FrnzsYX3+/nMiIFeFiRuk8no92s5ZG6+utHzVpbXPbK2vDG3Qklv//dYe7urn6/e2fWX7qtDCJq97gycjun/b2CwK5VMI/vUhqIiq6b9ErG3Wv6YgbL8T5jVpY4fX2zgEtSKRvySQQvtf3ne/V3benkw5t5hLBWbtHG4ViZugGXS8uYK2FsV1DU8XaT6gABpc2akmVKlpE6xWigJA1chLt+H6CsySxt5v29WW29vEBNveoOfYqE3JqRAam/je4/dYoOMau6h8c0NIOEIh9Rl3+xGvhgtepxMA4LnrwSRIXUaOCZi0A6gJix67pgDeD61orGOL1v0jEERYswR/9jbeqFSIZQESSIUzty9f74hW/rxbfLX3YN37QrA/3JoElKKKXPnL9+WiyAJPvpYbPaYZaqjFWVY+ZO1UUwZCmJeIEIF8v8NyG5ufskPxedEESAUZtevaRr4lUMT2MwLmMeKpEmQKpq6LVjiZ75X33R3dYx1X88t1ZkqiBoH371EE43q/l70WNebb9blvu4Ikxh0mmMWPHYigDZmngNIzZtPUoEsAj7ru1d6g307jcFQm27GEQAY7dicJngnlHMHTFmVnS1uCFogCQBMDC0GOsXXK/X6jkCamJvjHE+HxMoDK2nSqab3GamKBuvcIht2MQII5B5TCmMZogYZdR9D7UDp/LoI0qq87Zd2HFUEriKO+R7u0djmk9wV7gM09Rhw14FPFVdUtdymnhMsclJpZCWnR+6A8XWoxoB/f/75aG/4Dr9/fQqiLmiDlTdW2VPDHo8K9dn2DYnq3rCW+Dt9k0Y5rriomQmSCAaGp1Kk6o85uNihLuCzawQrajUOtCO+OgAjq/R7l0ME7uGxdXIgoTCkyaMzg5/P3rsltW7YJO6ALjnenaVwgXUK96XQRucygJSOKQC5qvVJ6g0IZTG6+79QmZsbqlbb5TgCbzccGrQlBlJ6AWeGaNVJbpNLJxEvMQBlA4w/MQVeX7lSbxZGrhoZJeXBg27wTQXba9aQ5IyyEsotaZY06qGpQjkPeEc4/z+hej9iFimlJiFTwX+x+hT1lBFR8FR7w65tPcDwNKDNbxU83ytoxal6FHJyT5zDyuu8hycTCrOvj0DfvakqXFMoMoAm0zItuJPtBK/hzBj3pBkb3d9q1tbFI2dRuSwU9Hjcdz23iti5IMk1A6tX+JWfIZWybDDGb6iZUrGzJAAeDU242Q7OykKFHuVfn7ECknaSg3X/k0sRVaFMUAmBcZBs3HtRMs3bqiEFBlXxlmgGpoGHQpNyLAWJQPpt7LUhcFr0Ov27/27uHcfN9eRM0sr7Pq828aALPYwaWDCZCsETd+YjVkkhYp6pxw2zcAlZltcWzJN940IRHmuKnKfSm57wqihbR5zCoXZhgXgPOlvzZF3kxodP5qsIzKn2/3DCWHWF6ECwPFbc/fsaffP4bHOKEz7snBKoYa8IiAW8vB3x5SWo3swPIkRKlrkmUqzuzjWGqOn52JrrDrAUMFzsLQZ9dzmr9QyYYteUO++/cygoAlhmyZNB+D+q6TaK4WW8SQOghy4J6OqNuuOc+psjHt2soGBTU+fDiHVPjKgKWNJaixSkTOgvHSfeHu05hem1uCdw/ki9noFbU+wPKoVeRvPOyFjQA0FjaNXhXuSFQlmI8cUt+iwC+Zvu8jAyQCkvRokUtfjqrDVOf2pqhHV6dhzQv4GftAtdDDwmdBm223miSDWCBCbEJwrNCGfP9gNoH8FRURCsx8kGPX/oV/uyqp/2jKMzsla63fDG7LbdOq0BnVJZwKQhLNV2BvKKkRL6/74eAul87o4DCbMsQUHu1LSsdsByA5a5i/+kJ/8kXv8EuLLiLI9iy2SqEp7nHN/kBy9I1LYb28s7qi+QNAMJ5XK16zHKtvdcTVKI2huk86ufdasuPDXxfUbhWRSBZwdAuevM7gymnCGwEefi8KDzOkgCHtoeL+rJoYmjXEbVTWmpstKU4Og9YAz+n88RzxVqko+tAzJJJyoLgOgS3vRakh6B7/RBQO0I6FnQfJut0xkaTogJFVu0HUBGkUzbYto1J44PKocf0YHohU0WYq9pzWfKucUZoomOukRDGinhW3vRyq+M1nTP6DwXTqx6XTyLCrFYtXCqWQ0TttOPjugjxrPeG94wqKig138OOr+Ome9R7G0x4SljvD896D+MlY9nHJvIGwGgnsYn6NO50RVNmp2q0GWJF4uzYvDXVWrHs1OLk01fP+N+9+RK3ccTP+3eotvk8pR3eX/aYxgR6DDh8qf7d7ggwP3Qou1dqB3iyvdSK9fmmQ+mVWseRVx5+rcqpnRdIiggpovYJ+V7hnG2dY4YkK3oYKsrHRTxlRbpgLYDIYQfqEsqhN9Sd2h+WrX+ozdMwV3THivKd0m+Of1BRO0F6Vl7p/lvC/ruCZc84/lS7nHxhTN/u0e2B7/7hzkQXbYZZBzedBN1z1U75rcWg3nOwxKnBiQHEvxwAAfqq+yQZ9aLsgMtPF0AIu28D0tOM9BCbr61SNgR5bxDrPdasx+KD3beKhKwdcPoxY3oApp/q3sbPUeHDQ4UkQfcu4OZLoAyEpz8SyK4gPKueRvdEOPzOhLE+6yFREI/KUV4OK/dX+bdAPLIhLAE6ZEhWITFauHFJ0xMjPXu2b6cumtjND9XQjsDuG0aYgJvfKQrz9AUwvdKEmk9BRdp6TQS794Sz3CFcCNMrtCS+Bu0ol6dOO8szod5V/L1Pv8YuLPgw73DOHX6VP0U5B0Wwdoo6zeZXq77uhP4p4/AvfgPEiPmXnyLvItJZEOaC+YYxvtJ5parKgvlBLzCMhHg2oc695h79O+3+elEjnoDDnyZbN/UZLrduWaQJN9mxVOQK1xTNv+br9+/kAhZ4bauudeWabSvprB2979mvYK34tBfR9y9mCxMTtOCGiFBD0G5hq+xihcBsumHbbg5tumbfg/1tXxY4t5dtzt+TcwfWYNZmtZ+v/1urPrIpd8EmqVz9v/3zxVc0WKb/3uAXXNZC9VV12d8rdl1W1dN7aRYLnqwEg368eLn3sXdhawIwFNzsR9TKqEIYQsaeMgaqOPCEPc/oQ0aIBYXW82zHDKSBRV3Ppd134wPT7LzqtaMkwdRcrxLAFzfJq6rlBT8shhVGRKSwIuPQtTEptCZC2wEpdg704ufAmjwB+jumNVn+oc6F/xzQ80S87iT/+14vLJXUYqZaXMc/+JGr17Yj+7JL56+XnRg/r5dzpKIFh+1nL/849L76HFDYKiqUBwUbAxu48dW83/775WOuWrThpbYk+mq9Idgz3pzfy2tmCyp47Zi4CIkasQOSBPtuwSf9EbdhxCfpGQEVz3XAVBNSKKBQFW3ix3mJBOAX98nPkVVQBcyKQCGCbMaAOOIgbJ7J9hh1szb9wLWtvLVw9b0ANl2wF+gZtxzxQshfNU4A3Xgc5s5FOboMiJ9UEZBbOADtHpPPMy+05GxJhZ3GFh7v12uWWJ48NS7tdk74+23N3iKGPPdp43G75ry8r/7y7zX7otZB9mvbrKuqqrpYUadra9VanNGECRuEQlvffXmpgAu1BO9qafxw5TkK7/BuCzib16oDcD0fwKS+mh2jGDRVvTQF0gn6lPG6O6PnjPtwQSD1g18kYIgZFOs63rbrtmz+b8+pceFFdDxtz/HlerflyfuYFlkLUi+f0w+9tr97+TxfjmMrfpN5jHsxhDbXcgUf92JcxVrc8FMDrZ0FqwXpd7641u2p+uVv9gcSC1IjtaS2FXBtTDi3tkbShHVzLED3arc5ah0WCwyb5sF23LcPYk2Uc11pXoQmpLTtlHKpJvC5fr7xNNtzt3vH2mHizXfxrO/bohVEDKXg99eux89DoMUx8bkU/BfyfTQQ9D7mnhpP1DttIQqGmPEQz7gJEw48oQhjFxYsEhC5GlDGFKW9oyj6zN2tw9dkHRuGVPFx8mIfIxPIJCJFEhr65KpDTxav+JrKa4LfxpEV1zwGEsSGCCHW+34laJn1OTjnm30M9YrCq2elWnBRwTA9Hx3PPJO5fCgkVYWktGvvyBVdp6SJMLpA2aqZQS3RpWoJS1nHZPscABqsMBnCRkMDP/yy73bEF0GbKGGGCVTqs+auKErBxicYQKoQDutaGgVIFTUGTbrFu8aCMBFq0QSXZ4B2MP6taM5ji7jOY2ljwHmuNnCvr8V/X2GdWV1/Q1lhuuloMY2YPRXBfHj1flYxWP/JRNJMI0ei0QLsmkQsDg6CXVhwiEppG0LGX6Si6KTtEKP12bRzNZ2L0gfl1IrrDWhXu91v75aT3quW0Cedsz6exSR0JKxzq3vWQlJNjOICaKYx5KHCOpmwJrx/jdfvneTSeQKGCOmjdjOfT3pGLoZjtiwIPSSkpojcNrwrOW9Gfn3Q4y5FO3yesBBap4bPc6u0w+xTyi7pxC8GHa5qrt02t21X4GzCAV4tlg2vzIOfXHSz8A2hxVx2Pjda0uJRy9n1fu9vaMFEM2Q/qUAA33Yg2VT4gAZ1CFWABeq52JlfqlWL05nBRQOSvNNBffhaf+dVnXSqzY+xvWzzCFNRBUBCW5hrF0CRmyqjTiTrMOwS3GqFsgA9kE19b74zbkVXwQT8wat3+KObt/gkHfHr/BoBgoEX/Dh9wE2aEGPFRApLcvlxnus131XMcmMw1Tl73lpxLriCYPYdKiknlMblerNmhgzKX+TjeCXYREvWQAvKYdKbrl1W6bYcVmmJqZTtLsUrbzIE0H53fa9FtDMcAzDc6s98fHapdVNl6AwSbnztoOrW4pDLLrUx2ZLEZcP3ZUsKl8USoAIVGgIEWc/t7uaqC40lQ8ZJx67NS1cUJr8PZPw3vw/Apotn/HaixieFn1OtysnfWCRsO3ne3RUTM1oLS7wGjKIBQ97FthlTES8Owq2wXMUTohtr95gVgldtEy0rWgPAX1GEUjElcVEb8qA/oOzV0sOhdWqtUBBuF+zSgioEhuCOL2CqONdeE4ASUJeAmKlt2CrOFkDOCbRu0jUMt66wPl+n/D05Q/yZR72XYl0v59CJ6Hih7RrX96AYdRz6d7Wxs0laA4NK0O/bFh1TBKhrXf3Vlova32K/a8W7ZT2+9Js104tjYbUsEVot3WhRhE2YZt33l4xworaGw74HwJqQv0xWAUi/UQ32zl/2OVF1fgWCWtVUXbNFUG93eh2XGXQ8g70bzoDsOsiQWvIDZvBYcCUYM7v1ETeUj9t41U7hbhC59lmvAiGNylRt2tA65lGpFXTlaPVP63OhArB5o7N1boXs2jcJl3Nyqdi6bgJcCl/V7nveB8w3GrBMD1qJzzcFOGTc9DN6ztjzjPuoKKcP+YBFAuYSIFnnrWtCoGpwyXMGjYt2qy6j8r/vDgqN9vWvCmiadRzaWk+OXPEu71+x/rSiOUqbJxJI4ZlbCLPNcR/LkgJoykCer4o50ifwaUJ4f0S93SHfDXr7TMjSC/JuceUFXkChlESKqJK47stb66kwi1ryCF0ntNDAVwRAVd90ngvid8+6b31+j+Uu6X5tiaaLoEWbz7VTUTynR62CloxyH1G7nQrumI1I7RiZE8Kl6PUtBTRp5zNcFJrcYoRIWO7UYi89L5og9QHzqwESCOmsDYb5LrWkmGdB3im3nDsCKFmMI+iyo8x8rGhC1T3r2M+Djv01ITb7uKpzRN0obK5XNKHP0gdUWIGagJoY8yulKDmveLpnjG9sP7G+A91kvH444ov9E+7jBXuekaiAUdt4z5VRzhEBwPiaEM/AzVcV8byKgjW6gK81gAbfErUA4DGuWNf8MqIeT6CbPZY3FuPman67JiIWGXWDJqNS0b0ddX011CNNBfG8Qd4EBi3afecxg04jsOHk7n+jaI3HP1S9hJrUCocnQhVGvivI9wDPEf1HxRrf/1opZuNrUk5rG79eLPCkzhLZrCrMw1u1ZaKizzAdNWHLB8J8r9mKC0Uq5Q4IF6D/KKBCGJ8SJArGN4SPf3OP5cY5vsD0WsAL4f5PK4b3BePrgOkVIw+qDCyBWgIWL4LuSYWkzjyAioo1hUlw+knA9KkmTtMbhdIDaHZBYVLxp4/3aAVM18FRCySAFzbKnu4NNUGvDwAeE7ho91Tnlf49flJRHzIwMeKji90xJAu6J0Z61m5196zHOX0eUGPAfAfUqOJU8YgVal6B9KRCXONrwvzKCj0kqDvB3/7bv8U/ePgt/vXTj/HnH14hcsWvnj7BPs34k9d/gU/iEd+NN/j1GCFzAF0CaCKkI9k16vx8+nnE27/7CzStn6x853QW5AGYbwVlAOpnEygI5F2PeCYMbwmHryqme8JyB9RBcPpJXSmavofsCugSsP8GOHw1g0qHMHtDTZ/91voqTCrKNT9UFG9s/Adev3+Sm11MQ33MZBxVEXQ3aCU722ZrVXohmNWDQZQsTVejbhVXQBWkUoGlApGuAgTUqrDUJa8dAECFRqqYBy/WQMlh0kDbBGle9LNdUji1dy4c9uXBoUOknCdHGyhJ4hYwSSDUXr17rxSdxQLvabHg1BdstAq8FQxNpc6qc4EgZe0y86Ic2RoJJSk0qHtU4azRRKnCVJGeDD/me74rbmbjg6SAShuxHzKRGO9UO8rLBUNgmwx0sNWkAVHtAWaFkH++e8Z/evhzAMB3+Q6Miodwxm24YBcWbE3tuVjnzTnCL19xw1mD3Y+XnUvjTdIoDTrZeCzO411yE09aO17K6ZOyqVJbQCgpAGYlshVjko0gD/yztYKCeaxuf9e60Aqdp1JXT8dtohBMIbMKCHbepjLZ+FFJ5VU1wYdep8dnWmK2cymWaArACl0gogYJ9CSfZlFhlxhXSPKVfY4lMA738+KAQVJpyk3xuXX8FzTOpnhSEzewbRdFKmJVu2DjXFbOd9nMhSqQPQwaT5vqvqwLHgNSCQSDhl5UgbJ1zhes3T0fPy8LXNXGjaiKso5tEwQxERTnu9cISKccrY6LclwADLy041UQipAqTG+/2hK7EKhxpgCo4rKPC19r/MUM5SV6YacYJP46eG+fCKYtsLGAat3Xlzz17WvLFQ9WVvXz5vW+XB3HEwhPolrxz9apjSctrrrzlhgbvHArMsZ2HiEEIFjBZM7r+rt9mUp660z6tQEAh2tRqLL5XSUAVRV9DULowlnSq4pqHJfWZWFLnpSGQ+0aqNRGO3H/81ZUIUv8/b6SQVwTG4/2RUeGbIyLJq/E0qDLmrgo59H9ed3qpXW5vIPcxgxWhIoJ3PBCAPJa2DDOnvqgGoTTrUUGQPqK0BX0MSNRQaKCgRYU20wWCSh1g44hNJ0IL+Z6t0rOFy3M7Hobn1ZM9HUZWNf1Ynvvdv3xx0uERmuQdc/YJpNidJGrMWF/xLjHxOV6P4fGC3RaIM8n0K5H6R1aWJrGhcNCea4qdtlp4iXFEtXIVszSALvxQ4GNdZR/od4vXQT93D2uqcDjMzAvCLd7TWA90a7SdEd4NkHAXMH5xf5jSJgyBLVhhD0XsbUIULun6nogWvT1YjtP2lQonFAOSp2JT5OKr+32KINDn7VTlAc993iBzgsyMaMM0EDgosJPajfEyJfN8C8q4hTGipLUXsS7wEKeULQ2eYMkt+aAiF7LdolgoJhQpgQtHOWBTKXW+ZpA7DJeDRfcpVHRZrwgKKwIA2UsPOs6b4VEp59QkXaPrvjcIk2BnpcESbXx8FeUh2ppeKE5H6LyGp9n4+qu6926julawM8XYJwgh5165ha1E2wFZyv4YwJoWkDHM6hM7bYMHwX5M2A+eBFQ9zUqKvZU9gU8lCZAF0fB7p3H9AlLoWbfp+MMmw0IbZzxov7IpQPKjlAqkI6qSg1aOcAtwSFNlqnqd9YI8MionSDvgfGNJbgM1E69aXlipItg+PoM8L7NuQWWeFshPJ4F/XOBcEA+6HXuvquIU8X0EDHf6xzMe00gdQ6SCaQZZPYhA4UQn8Nq30P6e7f7UWSOmB2VAFVFytQ1w8aNF5qGitvXJ5yOA+SsQqzKuVWLpHhWG6LuWFE6wviG2/rs9Kx40X97Uah7FqSTehHXbkUzSFfxJ6//Av/Hu3+Bm/D3kSvjvHR4GnsslXEfLvhl/w0+HY747fCAqRJoiZrkj1jdWQowfw7kv3tEWQLiXw6IR0K8EOLF7ncvqPuK4TCDWXB+1yNMhHTUcSRsBfoooJsMShXVVMw5VewPI45PO3DuED9O6HYqQukdZdWKIK15Ve+wA2VfUacfgJ3+wOv3hysTgU4XhCeb9be3uqGluELLLAAGoJute5c5qd4CgMaHggUBJreunqfS4GKy06qvV/JrF7Xa6RU/wPzFrJLuZupigVeXVL0U0I5UYMi+V0TqNOtmbQbxqsY8t2sF0DrFMFiOGpBrFXCrKOnqed6hpFKRjqUFS3ry0oIGwKr0E+AV1MZHKdbF9hhhp1W3dK5IZ7Ue8K5CdT6IVfNpVqP4WgEYL5rnslaYLclrAV1VAZM8RNTe/K2sCN0gHgACVxxzh98sr/GY9/hqvMdisJ9Agn/74TOcTz140s2nBt/4ZQ30gE0lVNDggN4psg6AB/h0sftV69p9B/TZzguIaFWyDdy8Y1sBw4Ns76QBmuDXTZJrxYzrhGnbLlnHQvtvSteCOMCa3FpHoUGwQrDOJlpBhEJtm6d3I1tXMqlKMYopYIsoNxgJMo6QsoAooIkB2dhcr5lVsfRlMNjGll0zWZckrO+7Eo7zLtkLkR//jBaYWBM+S0ZIxDwPq3XrdEyyBFQEgJWP1pKfDBBJg6po9VfQLVY1t0qwW20g11YMIFdQ3dr1NNjTpniRYoPgiI97g5KWjrDsrIo9AEjrXC1Q2Oa7fINREv7F88/xzeUW3769Q/wQkZ6o+cuFqaoN2py12LHttjZLH1nPMQYrLvjv7O9IaxBvSuH+fMXRAyZmps9pkyhsjy8CmZf1PvjvS7n+2dWg3ozxXNbzhCdVfHVdZGgUAK3QITtdw7joetTgyuZbTkW0GxkYzVJpm/D4NYhVDYN2JnW+rx1k8nMywTFYYVO2BTtXN965JUwFz1XHwe1B35e1AAIyGsxg1l5Ma7HTRWiGtHIlRdez2kUNuBNrENAxStGfwYoAa9CuBcxaqCUpwcSMwmTfVTwp8QKNaDfJIaRuJfbSUsrvhe1DajuiCsAk0oKH5aAcNvdBqkJYJGCRgHPtMUrEr86f4sO0x9sPtwjvk/pSsqEnsiZKEhn1ZgDFAHaEBNFVcQxdQu27dRmtULhwKwzwVRefiCzreZHc2hpHQs0X9nuCVoDu0b5FdOmaJlUFdT+A+qT7vHXI3ZtW9mkVOSJ9DvFS2jOBmBf4RMi7gGWvRX7XyJAA5D0jTILhnXJc57uImoD+Q0Z8ntcCIzNoN+j8Blp8IImBvGqC1F1CQ4r5q0EALU7KFemkiWIZNOCOp7Lu944AsHlBJgpWu4DaK//TC/F1SBqfVEOV+TpZAXd2ULsrE7gy+GjeWTEJvOqnTIBETY4lANMtIwxa6OkfFaro/rpiYmi8VARDpzkH3kXceK4G3VTlc6pAXLQolA8BiDqX4pH0e3dA7QV5ivjy6Q4VhKlEvO5O+OPdN1gk4H8+/hTvpj0ucwJSBUlA96wJiK8lFQBVboUdCQHVkG8grFaSwRWU1S4u/uRT8CcPyA97m+sWi4itV9ggAcTGgIjqD1isSqNZY+0HRWTcDVqs8aZBIHAVSI7AN3qoyxtCfaXiiZ7EeDcNlRDfJ0AShIGnPwLSs7pfUNWOrydUvEAFxAYBZUJ6NkXgO8L5i4R4BoZ3vmbpn9qp8FPe05pMCmEVrNJnc/wJmxK9ABdCuOh4cZoGiBAuWoQ6f8Ko8RauYO4JO4DmobocgPlOU5v0rGPy/CPlaXMGDr/VjnMZdA1OHww1YIKx3SOh+6j3xGHAxcSmwmwFEwG6Z12T8l6TMarUilm107U6TAp1Hr6OOI33mgA+G7LG1YjJ7lEC8mDYa5szuo6RWReiFQmoAPNILekV89DmmVAR8N99+zfwYdnj7XTTlopcGU+XAf/X3/xDBPoH+Ob9HfLHTmPxQeNb3df1vEoAeAbKV3toEQuQO4F8q+rnVBhi/N/ptzegAgzvGems8/fpZwl5T7oGPAfUmVCigBZ9DkLAiXvECwFSUe46nD+NOH+h47T/KLae6Nzdfw1NnENE3kXkZdVY+Pe9/v/CyZXHZ9TnZ/Cb18Anr1oF1qHGsEURwNo5A1ZFQQBehW5VIiZNcKMqnfKyVs3rvls3b7OQ4HFBE7KwYKP2auFBY77iociQICGAJ7OVICXvg4D4qCrOdZeQbzvwVBCbr66dqgudsCXztQLvH4F5AR/2q0WIdQV8c1Lu4Nw4HC4UAXj3FBr8laKL2C6uMO2qHdBgfrOLVVuHd1ltSgTGLaIVWrEUFYOZVBRLfSvVzsAtmlrBIVwvsiRA2alCXQ1rYsiZUPXrEEhwXHr8xeUTfD3e4t+9+xSlcuvenp4HyCkiTdSgLp7k1qCWROzJrCVdZGPEv0+Dtwqa7T15RlOUbX6Q9v7JIuxlgeQM2u0gB4Wh4TJfJ8XAddDqQayLA0ULknyMl4rGT9jyK6E/k6FTqKd7iwLa1bWiTuvOVu0kq/Kld8QAKlaYmAvoZDBsF0Ya1OKIjxNk0UQeO7N0mSa9Hw5RbcJGtBZ2Yli9WZsS6SaJcBhotUAxKASQHCYoJvzl96xuEmjv9rknYWCNNb3j5Fw8ezQuTgQRDa6GpF6d0WCAjf9uwRZ07KdT1gDC1opVcKiCz+MawBIpPHuaAGKQK2E6eqRLei/a+Wpy6/ZYClEmTK/UQ5G76zEz1Yj35YAPywH/+u0X+PC0B33TY3insDYXX+GpNIE6mhYtAsRgiUpdxzCw/q51R1+MUx/rJkCj8HVN7iUXq/SWlriDNmPZO72lANMEcRh0KYpGSAmySXIbxLt1bqkhaK4E+XiDkHFYnhUwWoKzYxSz8okn7brXFNp6Hgw2LH2C9AAfR9CUmzgcsCYUbX+wAhS5LZOjXwCAgqIiePXeriloADNl0KTInrJXqGW4LEDWNVCGqOd/mQ05Ua1IlvR8iyIlWgAKYLlRG6wwVcSTChZJr3O+Wrf0ijjkxa+KlV+ba+sMAyq6wxsqB1lA74l0u89+r12kbluwqhXSd6g3fUt0VfehghYBJKlXaQ/kg6AOFQiirAfTWFgk4LkMOJYef/78Gu9Oe9S3PfZvNWhz2DZbsUKF2yK4i6AuWYJpa4TVB+suodx0GvyNWnh1NIGYtzGhqjWZr/1eRKhyncg6SmXRIhL5HDEagth6TjaWJUUIr0ERFRN96jZdz6UqlalUfe4GsfWCYXhJB2oxRQ+FqwD9hwXhkjF+MiDfEOJY0X1zhKSA6dUdlh1j/7uM+Lt3kJs98ic3qJFVsbdUuDCaJJ07TAKeNOotu6SevHMFL2VFSRDMVlHHFV8WlCGg9Ep9iMcZ4Tih7hJqH1tXH9DOtRTCMgTkm6Brl1m05V1o4y/OBa46L5FQzRbRfTW9QVHjRhRI1t5GnASZaPU2ZeUXDh8q+o8F6XlB+voRSBGXP3hA2WlHLp6Xq3jgSk+ESBsBvXWez0qpKTu3G9NELB90Pa+dioIelz1+swQc5w4/2h/xWfeEqSb8mw8/wvvjHsscwX0BJKH/qN6gzmulsIqJclWI8XLXKWXsSWMxpUbofcq7CAnAcr8JyAWtYKAX9iKOEWkCjxrrAuE4qd3g0KMeepQ+YPy0R+kUQs5zRUiMSHQllj9+KpBXFdJVxCf1o4WFMijA8F73reNPBfWPzzi9HzC80+JM3ivaI0xoyXHdVdBM6B8J+28zjj/tMP6dC/irAd2j0ZGqFjzyAGCvcHTvBIN13es+qgjR+IZw+byAZ8Lwlu27tDPsYwgA6kgACS6fEcY3hN13gv3bgtKFhnILo0KVT18wpk8E6ZFw81vtLj/9EVB2grtfMW5+V3D5hHH8mSaQ/QdNGvNOu9zdR+DwbUEeCKcv1MM536jYlJxUQ4NnoHu0Qn4m1I5aAqoCZ35O2uEOF2D/jReQVIB1vl8RankHYG/zImsC7YAxqkB+DZQvJi1SHlVEiyedf3mnHGFVOAd4Ifz5X36K3727x8PtBZ8djjqfc8A8JVx+dYd4JsRKiFWvrXw2o5I0qqD72odRiwJ5AMYvnMMbrKkWlUs8MvZfEoKJz1FR25/xMys+jJq0ysXWqJmae0AYNWYiAebbhMuPCKefZ3TvArpHHQJ5L6i7Cp4ZwzdnUNmhhoSypTz+e16/v7oykQbYxgWrnuAC6wbnL9LFunqS6wR9e38NrLAhS4SUK6oBqMKW/KJsMahinZwXFhLygisRjfPo5+I8pWiBY3Ip7U3ysoVHWSLYDL6BVn1uXcChV4hW2vDDqvHB0npMvw+t4+zJfxNiuj5/sk0MFqg0Ma0s1h2p631pXA5ZrSxYr1diaF3n1sUsXhay8pPD8+xPs5cIWoWtLt1OALGsypv2PJgEBUCtBBGCZF5l4guMZG5jIqBt0Arf3UAgHXonaM9QjMeKMmui1/drd7E9N4N5EunG4V18T/gAC9i343G9by0heJnE2vOmTYezHc+6FldJabMWMJieea82bsvGlsn5KS/HhyefmhRFfN9gff1+cs7b9rPribcEQdWMt/drveYtBFDHfmvXf1/Yx9/rFjOe5BQBYJylrRXY5ratx+BW7aYCtRix4orU7VxH62D5/SO/L5ZAe8GoBZ12TQ26C6yd0829ET8PXrl1ag0AhR8FQYgVXcogEszmt5BKwbH0mHJAXRih2GZs3TmqgIunSZeuYJLrPdk8L+ddexGGCVfiZp70+hpmSbL80HFdtMePvX1eWwXt+MNLv2zHx4s1biuScvUZhygTQTrAu03qf6snUzu2YICbpZhEbp2iZmnWxoZDpq0QBQDFPhM0eRTjv/p6rmudc4Y36xlZUTHKprNrKJztNXnBxp8BNkn/1T3S37d9yi3tPAG1dXYV0XlxDLZOlSvZGBzNA8Tt+9VvvWzuM+BczHbtm2esgj8MV2sXg2KCnFOKptZfOhvnDIQho+sybroJPWcsEvD1fIePyw7vT3ucz73yzKyL0ASRaLOe+Tn7PWNa11rXpzB+qWtztPvua07ZzNNqhYXtOH/xfBTtIGu32O+TdXvXQg9j2wKtiZHsHDwp4cUKNNYVrYGBYNdTVxu1tm5Z0aEmK1hCUDoGmeITm3KsFzk5i1rvsHXjeitisxbuUWRFt3khREQTU2DtqPqYioTSh7WOwgQSL0LKWkjRgEWT1C7oc/B75+gtgRYZszovCJkKOOnaxgy436Wv2Vr0Wp+Fd4GaeJqs8YpbJLqnqgfDWhS09dzg5T6GFPK/LaRpB9Q5yLB55qgHtxVy/YbSoSVqEkwsqC8IfcGuX3DTzWCq+Ha+w6V0OM8JyxyRpwBMAXGBWcL5uPaxDoWbevyZvQBmXXLvtlcrUNFmzbA1oXVfvcDuc8cE7nz/lWyhDDOwH/T+mA5GQ4QUQZhXISvZFNbSM6nPdzYFYCsyOIwW9qw4A/MlaeLEep2qyqzPcxUWEkgELp8ElGTyt9/1iCf1iQVMyM4sdGix5WiGJoeTJsBhQoPgdh8CeFG1XaWz+TlZcETrWPLOZ+kJued2bABWuFPxpv69cljTpYILaYd60UK6Uy2UgieYHnT8LzcVdRDUngEOerzBrqUAbIJcpdf7wQ5p31tXlvT+1A4oBy0GKP0JBvn2PUU/32gLlt/oRei/F+vatmUvA+VZG1S0EDgTJFkIJkA4BRufdh4LY7kkHGNFCgWXOSFnVtBWsM5zFjAIZVfx5pNnHC896p/rd5QOBsle71U4MbxTPd9FUAX6d6Hp7VC1rjITyk7vLSrA1faNydaZeR1Xvj/kQamYQgBPDKo6niRAVZqLFhvGz/dY9rzOqb/G6/fv5IYAukmgoVcbH4/dXkAaBQrPRLTqPrDZmPW/NbF2KAVIDHBWnpzzcuKm4weS6+R2Cy0FQFNByNVueGoQL4huJDWxCi91sXlj+vmS+SOSLVDlZuO5Kuvi5HwZSQHy6vZK8APGxZUYQEml+tvxbWFR3l6A+8/qwiINohYvxeA3sfFMtBIi6J6LdoaNl+i8QvX/Kiu0OwRgt15bOBvcdcqWBNo1GaRWImvn0KCbeVDYSemxTtYApKCTh0lQhMAkGLoFtAguU4dSCJgZPLKaqV9Uil+9BXWhqYFU7t/sn2hc+d3SB+36ebLUJYgI8HyCnC+gGCF3CjEUQwvQOFDuvU4AAQAASURBVJkdjwXzIqDT5TqpswKC3ow10VBOONaA68V4QoxA7Fpnq9n2mEUPuQBS4FboUDEaRr7tNBgJaDwrXq43OIIlcVahJqBxueGQvlJax6aNpaEHuheCLZ7oOO/WIHFCcgVFRq1ADKgO/X/Jl3O7Jfvuds/s/zJOavsRA9xTFJnAz2flDaW48oO9oxQZImRCTyYff8kG9fQKfF2LNNC54iq1rZLvwYWPjS7pdxo0mHbWwd9yU0vRwevJudEhSqfiHHlHmO9sgTb1ycN+wuvDGV0oeFoGJC64lITHZYfzuYeco1WdLQidNbjMuwhKjBgY3AddT8ZFhZC8MOCdp3mBjNN6f2Nck7RSTLiPG4xTlmUdO84bv7pOT/S5FRMoCEh26xhiVvjyNF1tpq1oY+fS5tbmLapYbF/nXQvWoLh1JS35cW/M2pkKpM0BTwx4qYiPF12PPCGJAXWwwqPnS64dYM+MmMDStfXchVlat/cFR7LSBkFkSbn0Qbl3njQCqPu+JattjlmxVjuPdEU14KkadFKLO3xU8mHcpbaeu79ttQC5dObB3HnXQ/mJK1/SxpNol5SPsybGg0Fos9rmSIoKvabrJBOAFoKWohFJD+0qDbrvTXdsVg2qqExDwY9eP+FH+2f8dP8Rr+MJfzm9xr9891M8jz2evr5FODG6J2q+ppw18KuBQCk0GCmKrSP2HJW/ryJ1dK4ITv3ZFqVs73U7JOc4Xl+QjnWlQdEKt03BOKs2v+17QaR2bZdRYxOznfJXvunQvV/Azye1o3PRK/t8GSLK4MGUJideq3aBPN9H8sDmN0qY7wLKjkEZ6B81FsgPuhal54JIBfX/x96f9MyWbNmB2Npmdhp3/5rbRcTrsuHLTBYpCFVSsVgFSCKgqppKP0UDEdCAgCYcCAQ00H+QZppoJGgoqARBKBBFqDLFKia7l5kvXxcvIu69X+PupzGzrcHa2875bkQmE8oER8+BGzfu17ifY8eavfdae60+YP3ePWCJYxXBesMzI86FRUJDjssQMb/poQE4/uKK8HCx66Xd2XLP2CBONs8q2LsLIF3DFvNEQTl2WG8TJDO2eGHRVRTpXBCnjPg0o44J+XikvVASSN0XeNEsEL3wnYdNQCpau5ULSbnAWgKAJ3492fX2TwXpksnuuhlagVjKtk5ga2Sj7msr+IS5ID2tqH3E/NmIMgSsRyJP82siuJqU+3mnuH19wZvjFW/GMz4bn3HOA/7oww9xXns8Ph1RrhHxQ4f+kclSGbmX9o9c76UPqIOxjqYMCUBnffCwgivZBGzJ6D5McHeIFh/OedvjQiAwJNgswbyApAophPPq7Yh8OiDMBfFxguSKOHPOpktBel6sUBtQd1Xl+59UrBdgvQ3IR2C9r5CVlFlXjoYA3bMAv+wQrwKNpAGnsyJdrFDgSQsADBWP/9EMqOD4r3t88U+BPJK67AwRDUD3DHQXMhEcvRvfV0SjPmsUdF9W3PxM29pTYcJTE+dR/1yxnmgb5CrEEGC9ZaYqVTF8sPa6o2C9AU6/rDh+ucKtpcgcoh0mdFfkGyvKoaJ7PWMYV/ytVx/xw+MD/s3jO/z5V69R5gh57BAWCjKFhXvm/LZCMj8PwjHVoULGgtRniABDUCxzwvrNAaEI1pOhu+3g3PKA2rF9JKxAXKkGPv8gA0mR3ieksyCdBf1HFrSKFW3KSGp29yw4/pJfn95VqkpfA3AJuE4R0zPzFzU6NY4FdRSEK5Hz9NkV/6vf/7/jj68/wP/lv/+fQQqtkpbXtSXgYRKcfi7NE/nxdxK6J8Vnf5hRo2A9kQJ+/Vyw3mpLQkMBZOF67h8NbZ+pgl06ULU7Atd3oRUwhm9op7TeECA7/tKQ3nvBl9/rEGfOrYqXZ95f9PrrJ7lBoAg7aunutUeVdohSU88Fb8rpK04XFFXEfqsOaiQE78F/EzhxgZF94uIvpWy16HYNTaLdrqdZKjhaUdAoQAAaJWYvhCQwRCOo+czaPTsqrVbC3NNR9uOx/9zgVMntMzfxFku2weqHAo0G4tU7F5ZoyKhf436TtHtwYaW9+qz/fPvbx+mTa2+qehGUKE+KEBRJakNzORUUIopaBSXT7NtpCQ3h+qQC41VPke35vkD+ZJsHUraxacq4jmTEbXwbIvMpYinf8Ty+4/l8ivh9588aivHSyujlz3vxxJVla8e5LEWY1AeBC1ZJIU0F9qwcjWnzeyeI9UIlF9h6FOtufHbr7cW4+LXv7ytwA2xI9SdiXy/u/zuQrfYyARlxOq4jbd8ZsO7GrChpyU6Lr/iW+narensSV+tffC2f9uft9yD/9/66fF/az/OoQFSkWNEFBqe8VMG1dJhyx+p42USyXlp5AK5qy+dVvz0f99fXKMMB7nnM9wl4SYdBe2Y+jvJd8++Tn9fANdaSWOHzVuDbv//pvh2sfPsXvFwwrXpQavu5i8jwfYAmumcJHOz32nzQDUX71mfYfTpa9OIZ+5764pr8WdsXAqBN+ABE2Hz8fO3s14K/kRczG9VYsdPpas/creq8F9xRFlfq/fYN6TZfdAviX1wztrHS6r3+O+/ldu/ybfR+/WSO2xi6j6VX6HlW0VLlpiOKy9ukoFquwfZxE1H5hGWxDYQ9YH+e/gwCtvWLbSxeqIz/ZfN394yxv8/9962lZfPQ2+3jrT2gvkSExeZg+WQf2VtUvfgctOK8OrMpEEkq5iUPbGhNVAWyFXoQ2rwPNh/q4DEG14+r1bYzcDevXrwaSk72ggu6QbStQ+43aIyATUketg/AxJ7k28VDn4MvGHi2/rzY4wJQAGqM7Zk0ltkOyW37osJQV/47TdVUuWvb25tKefTrU8CvccfkaTY5Pm0q+2c9ltjHlr6fU1hTMXYZd8PU5voZA665w5wTt+CdAJFY3yAROrz8TGzrkgwU389e7kV7hpEAm+7HzlWkxYpSt3H/JEYjsy5AQn0xv2U/579jvlDkEw2xbdflrKNisaQLIe1+zuNOjdgox5Wf2x9XxFihsUdcqKBduw0IoTe5IZZhe7+4kjFQjea+jRNAszeb08mORN1duwo0cI+pHRHUuAjiM+elCxW1+96NYbB6X01ADbIx4wToh4zTsDRxyRQquq5A6/Z5Uk2tvD1vIp2tEJuFbhy2CILZUHmsTiaNxeZZXq6Ttg7t/drA2z6dlDonTo7zdeDfE/uebjH6niWomfumJGMHBAGqQJdt4V7qgFUjCxymaL2tL45fOivSROS7DEw046QIUVEGaSCcpt1Es7i2sTjt+qUoJG0in27x5bo/we91t0xqIvggxWjem/7nX/r669OVo83ioC8Cae1CC0i98lY7BkH5GBrtBQArbwceCLUHUJnsxoWLQSPQd4J46ba+sABIkJ1gj4lBORplAZ1cV4SZZvE6dgwac6XC826z8BiTglXDpq6paHQxf7HKG9lXdmWDahMKMIQICEBviJ5VncsxvUCxm1w+KA4Rl4IyRuQT7QGSB4aFrpNxYsVTLWitKcDOxo0641Qw3f5W6+GI15VqfYCh7i68E1pAoh37zGri+A+PwBSsEjUoltcFGCpeHa+4H644pQVRmPB2oWICsDwOCOeI8ZuA/iOaUbxUZZ9Pv6Ok+8QXoXWRHwimnKb9ZmujEZDbE8I4kAYqPHjVqH4ItAMi9RNAl1Bvxl3AYx9lle29MJn4weM/64GRvyTArXogwXpgE69jHxRVQ/DH3nqoIvKB8349cJ6HDKRJ2iYEAP1jRSeA1gDpI1AVsYt8pmve5vVh5LxsYhTLJrLlVirel/kiiQtbAGTj+eIgTYG9445iuRWXCY7ArbYm64muShS3S00kyNkBEAHGgXRSLwK4gqofxoUo1b7HkTQ5bPTV77je1tPbFmMlgmsWPTr2LwNoD2x3fcmyZqgqZImkSaPfaHgKmqmfMrox49Ct6GPBTTfjTX/B0zri55d7PMwjdIqI85YAQO1QV0Fad8iDCb99Kynfo66G3oqPlyWjEom27/ttJRyIzraex7pT8k6NbdD6p9sctv9rzySaIM93FDX21xgCytEsoaa80UyVE7jZqByDVeG3XiNHvOjxBxzeFwzvd+rSAMqpB44954G1UcSneWvpEEG55R4WjArvdHV/H4oQGVsnCmD+kWLqz7WPPJPs/aR5HH6S0HiB0N43nheEy8r1MdoYmOBVceTY92I1kUFLruJckEdD9hytVSIvgAWk1dpODBnzoidpl0Qqap+IzE6Z89WYO7xeE3RbeM31QMXosLfpe/E80RRCNVKZVILivr/ii+EJQ8i41B6dFHx2OEMAnOW2UU3TlQEY6YiuEF2NKmoo3F5Y0ednKURhh57/vkxwP12f79on/q7tdXocib7vki/+rZsKt6PFFU2LQENtLAZxwamHJyBvqrPNoucwQE8j8u3A5M20PcJakS5oyV8ZI6Z3FKNJE69nvguYXwlcid2D0LCQapdHbOdcAbqnTIRyCFsPn9F+G5Kfawt2q8VQw9e87toF1M/vSOO1ns+4UHHc2VH5kIzCLG3taRxaUXz4uKIMEestFX6H9wt7qi1Bq11AeX0AItWRm7J0JHoZL5lz+WwKv++OWHvr3fUiSGEw74ks/Zg5bv3jQsbDNcN1BKjTElDt2uf7yF7Tc0V3qUjXgu79hYnCgWJvZSSaHuw5Ay6+ubVD5CvQnYlC5tuMeMz48atv8HdvfoUP+YindcRUEtYaUKoFUlFfxKYhW4IUyTTi+rGY1mzxXFuGFl3Cnum58HncE0WLjwvCkvk7p40ZWFPActehjAH9Q0DnbWTWF60j4xwEodBZDMivDtwnLEHIp4gyRsSpID3NiB4rAJyjbwTrPedgeg6NUVMBHJ4U/VPF0xixvKroHoP1dSqWWyKe188V6+crsAakx4jaB4zvznh3c8affHHC41MkRXckKrneEAhZbwWyksYvBYhXIqJxJoJXRsHlRrC8Itp7+JLJ6fRWkI+K/oH9srW3xEcs2e4V+aZCu4rufcKrPwbNJSzJvb4LKMPA/WomKj29CQ1h9mQ3Xln1WeaEJwV+/Sdv0X0MrVgUgFYQ9QLA8BEY3gfkE3D5UYao4O5fRhy+rpjvItbbAesNcPn+ClkCTr9QHH+d8fH3OsyvDHX9krFoGaxo9wRAqQS+3JtV0h8nSAEu31N+7aSmmI82P2uvgCG6+cQx02NBGDM+e/uEV+MVv3i8w/PHI4bTgj/4/CsEKH7+dI/L3OE63SAsAfXPjvjfv/9fcL6PiqffNeGnbwLCAnRnKj/f/nRBWCvyccT8WrCeBPN9pMfyuSJNgvk110AZgHKoiBP7p0MGrp9RzLN/EAwfFcuN4PJ9JvfjV2R75iN/JixU5y694Pl3yKgY3gvGr8Tsm0ip/qu8/gboylYV2KGRrbosAlFWRJqNhFFznZNO2XuTGA9+eAJ5tcPD6G1x4SYSTFyJT0RI43vRw2SBX8/EtUmup9h8D1nBtY0sAt4Hy/cMjVK3vef2/t5DyuQ0IGSq27Xek/39p/Di92oK5Pv714Ij19iqqfa1UIBqPVAt0TUJe+0iKcz7fg4P9IpuPsQuGiRWdJiEAUQQQFy8K768zmAVmSit+hIsENcEYKiIBwv+QyGaC20oLgDIYhTlC8wPTzcT8k4gEc2H6+W48jrCkiGVHo+aLBHdqWRqjC9otw3ldBpiDdbTw8DJkywXflJ7r4YOe1LriNJ3IRXtQhlMNKETT0B8/jRhJ7An0XoQvUeojCYMYcVfB8jiLDRKDwKxvqOqyXp0avN2pTLwVjjBYhV2T4zCRsv0gN2RfMj+e/UFLcotbwAgqFIApsBoyhHa2ViVTXSNdldhVxhg8qFOo32R/KMVwtSr0B7Q7Z5NQwtawWhLdMQRbadD2rjrsgA5Q9IJrq67IRL2t6HqLsxDtFl5TcBWMbQAM3QVfZ9JyYdiCAXHsOAsAy5rj2npWKXcVcD5PK36C7QE4FvIc5BvtVe8sANqqJWdtu3fwYp1tMryZyG+jlR3COeuiPEpcu9/iyV530KVdfta9T2bP0fBo92POwoe2VPjFf3SbxV5qDCXseA3Thl7hVftvMgmQA0IU0ZY1nYdLI4MJqgnfGRtvfncQivMKFgkEsGWOGtstEAqxbMfVwGeIe09P3kuK/ciDD0wOlxXt7ERm5viz94SPUcvA6mc0dREUSqi28vskDF6YQo0xDYX/b0RyZYKy7Ihj7ti0Ytr2iPkPj7+6BUNwfGExKdCHwtuTM5zNZjjmBYcur69jyNcTUTQphmU11nNoqZR3PfIaalAz31LMlpfeUtyfU8zxMv3qjokrqGgW+HW9oC216StEPpiHvuaKQW4ToBu/qJMCrl/axebhRB7qlmkCEYblswiSR4Zt4RVkVYGWestGtInGSY2ZvPWi6/Ks7Szda+Ba0UqyITKYt6quzVr60pKZYsRgHxHOu5eJLIxBnypR7R9XCOgkFas784ZYS6MQ1xfw+ee97nHsNkFrTwDXISmKaKv5jghAqmmsGNzqyG4leMhmawvrl1tyR7MxUIPA9AnKAJqtGLZQLCDqqssOMhlZtEihU053QpMzvxg/3plm1sCC2srIAPIykkF7/ozvt9/xFwTvq43yDVCVaDKNdz2B98m7Z4a88EKE95u1vZREzCkgKIVflJgwUFA/29VaAimz7Fr2xqYTNaO81UdgIHtkQ5CWAGv9LHNAZWtJaQVAHegjFuE5YPS+uWMDfEXzuXuXIEaob22Yk0oMIsYUnQP9xOuTwPCyqbPPhXcdjP0WLDexobg1Q4UsuvU6OvSRJJQmYRKcdYmsN4ygZZrRPcUERdBPinySRnzn9GKWM2GNAJ6LBhuZizzEWK0ZbePykewKLAAemZOsdxuyKvH6mFlTFtKANaI4cuIm5/R83m9Ze6RT/pinwszKdgaBegIsIzvK27/bEL/usf8KmB6E7C8igiLoH+u6B9WhJUK+1KYvInVMTRynYSChmpipVJ1XBTTuwgdSiscv0Dqrc+8Wo9tTQBSRewKfvvuA37n+B6Xtcfz4wF9l/Hjm68RUXHO3NMvkXtH9yA4fBlReuDygwq9KYhz5Hy5KIYH2tk16n0dTaPHEvWFgonIirjwvmtv41Y5XmL3t57M8/dic/OoZGsUFsH8Pdmvz6JJvqvA7Qp9GJGuijWYddG3aC7f/fobUVeGwd8UcXmJGKlVQprwjXpCA1aKeqrxlcOOblMBQFBWlxMnhzssVsHfb/CGEuPQUVzKDlj3ltShg/Z3TJiswulIcDXl5rapKZpac9tAg6CE1IIyFSDOFf2HZUc30w19ggV+Q0Q5JFsYVOuM18zG/s4/VxHs3KV3IQ8wV2htvSoWDDYj8qrobCPjv6sFeLldD4CWCLZxK8o+VkuABcUoN6EFFBpo96Fqiy5wEaYrq2jdccXhsCBKRdaArAFBA5YaMeWEXCI0VZQDexzXG1bueBgLZ5wKhrlQkXQnPNMUstOuF3B1FU0vk5uiNfASqfBE1dSR9ZCs99oO7Kd16/XyIGSP0DtVqiOKjlyhYfd9CxTa/3uibVQltd5uWSOwJiqJDuzfmV4FjseRioNS2M8RChCvTPZrEtSBBZOUzWvPDOeBrQDQEGlPGmO0xN85QdLES2Qt0IJNQVt47bpPbj4JqgBsKskhNDXJFiz7v/d08Lx7NtES8bRL/L/rZSjgnnHgL1dmFQBY7Fl58pY9kcaWrHaGppcKmZft+vxZ+fiFsIHn9l4Qo/HXgLgC6cJCzHJNmABcxg5dKHhYRwSp+LAccF46zGuCLGGjcCrgvWMuONQoSADnuaOtpigL93L2cVbr9QbMh/kTlPHTpLUq0atMlWUA/IwmRmTPYF74/0P/UntgBbAuQNl4P5IzRJ3FopDIRE1qMnqrNFGtMtB2ZH6VWPF/y74vR7bwYl8FJAvmu4CwDCx8zXyW8Xlte3bbd0cyFZxRo+aLSUQlMhm2eamDzdcopI2l0Gyp8pH3RbVZRx4N1bgCIoqQd+g0bP82BgmDRvaMN4TSk0MXftFtjaqxIfjzto9Pmzd4o/t64dDt8YoxSRKjz7BU8yvk2pBSIM9X+sI7kyVImz917HnmFUW8rM0BQMD9vyoQUiWTaVdcgwpqEXwznfDT+AZzTVhqpLdi7vG89NvaN0TD1Z9DBsoYoMEKb57ox2C6fzaHugQXFfP93BkXbjUIEbI0HA0HKJBU1p06vSf47iOr2/eAF/ZTLA4UtoYcRuDmCJQZeOSPxvMChB7u3x2KtiQOtQJDoliaPRPqBXBuryfzsBwYuMOsVSgWZV6dV7XeVNt/rNjmVN8EU9O3sSxDBAY0Wm4+0u82ror+Y0IoFXmMrcBereiYrhwTTWK6BpZA7wtBlnjHJSAYg8i1P5p/sj23ZvFlBTso0D2tZpcTWHTotG1NUtnLy8TIGQhc93GpiJeMukZIDghFke8HhLVDfA7Akrm+e86faPvB8WveX5ypNF67gPKOmid1pM2Rt0aUEiFretFi5Uk292Jj2RRBzhH/5ukd5prQhYI3/RkAkMIJi9DKCyvPZV8j+SCIUVEvW9FCQfQ0H49ErM+Z53VkYc0dRBgrGitqogp4MPBjX9TvHzK6J+4DZWRRJ3gLkp+xL57T1l4DcJzdf74ee9Rli1ukAP0DECd/YAACWXlSPEajpUv/NZlJyy33+cv3FPlGIW9mnMYFeY0ofQ9R4OufvcLX3R3ix2R7O5CeLHF9DUhfoOeEMAV0z4LhvRiooY36rAm0NfqGFl7rnWIFE18dC2aFxb7aKK35vgB9BZaA5VdHdE8Byy3HY36tKDcVYRKsC/uOk/kze+8xqdTKFgxTIsbPRiiA0y8Vx68Knn4YsbziHHBbofldRR0U6Tmge2QhN31IQAWu7wR5OBCFPLCfVceCYr2rkyHv4695Lc8/DAgrcPx1JdJsoFp3AfIDn+vD7zFHWU/KIsHCQgEZNbymcqDiM5kGVhy8RqxrwH/7sx/iXwxf4HKmbshySIioGELGIa2Yu4R0t2CqQLwG1MdAoadDgQxUrS49i3bzK0GcA9bTre35RHrds3Y9COb71BByjjmLZqLA8w8492q//U4+Wr/tL0Jbq3nYxBHXG2B+S9vR9BSgzwPKoHj+bc6hNpf/Cq+/mSTXAqoXiJH3VUlo/ZKiG++8Roq85BMlvuuwD3JBusDKiZgmtQ3PFOQsWG89J5ECVaIR6BOaymVR1DGhHFJDgppqYHKFSdv0i1d3t4lN5DEgH6z3xtCJm18UdN+coX1COVql22nZRvutXcR6kyBF0WV6+jlFp44dcOzsOhlBLK975EMgJWgm1S2eF76vUdCadcSiW2LhqslrZjAWQ6M1esFBlgy5VuiQkO9GhLUgfDxvtM0azQLCkmJL8mXke4RMr7j1RjAeZ7w6XtHHglwDVokIUCwlYckRpQagr6gqZsTNDcgTXbcjGj8oaYCwILFu9g319kDacRNP0WYPVI3CRk9UbEmrB/y1MsEduiakJZZgyHWjqzUE3CjOTQXZkAOZaSa+TXE7HdSEe/aUYHWfwQTpIsKSUccOtacC4HJPQYRy0Ha4hJXzezSVRgo2BER15I+B8IteXGBLUNT6gWJAs8ZwsbGOAX5QhWih2NsQW8LlyL4/C5/r7tlbYZXmGCBdIL1sMbsXF9bwCrbq5lPp1jxG03YU5EWv137b8EBsv3aAl+Izu3m+H4MX7+e06GWFzgspiv0nCKWj7nmrVaAUo/rz3uOi9JjsBTJF5KCY14Q5JTyvA6oKHpYD5rXDsph5+rL1w3yKYDRkxhJyzAtpmUej2pfC5CrGJt4Fs1d6UUTYJ7eO4DkNtP0hhVy1AmI0zcREWpeFaNfJ1pXRzQFAlxVaNoSLKLl5kFZl4VCk3Z/vK7ULqENEPkYWcUbB/MbEjOLO5xis3DPBYWEzlIR0rRhMIyA8UzCu3ozA0Nma5L5RTt3GqrHAuwyxFThRqdavSdjrZPTBlhD0RN+a3kNFEweTEjY/2p04DPuLKXzVygwBL2m49jyCeVvzZ3htfD9eW1gqoieynujavGiehIJmvcRfBsKcWfRzRlSu0MsFep0Q+rd8tm7TEwLqkeOUnmaiXuYjrqqQNZFK3YetHUCsd1ABLYKHacTP5R5T7nBZu6a1cFk6shV2iYMnuqIb9VYyE7SmuaFoz6e1nJS6eUb3HWoIraApU2aBKkUm7ADCZUZYM+rtAaXndaAC0hTMFBpZyAyAeYdjY7msxhQ4DCh3I3LpgZ/YEJ8nyLFrCbIXFSn2p9A7Fp69KOLIpwZgNcGZ2nNMqliSqxsDjXYe2mivjprClHA9ySQzK2C57VqyIKpY7gKub4O9RzJaMudG6QPZAYuie6LiekmGSvWCbP64zn5yXYbuUuG9yK6+3Ir3YRe3yVawkKqIjzPC8wX11Q2Wt0Rua+eMOEXKhQnlyn1hufPiemWLVK6IMwsF6w3js74qQghkcdgZHeZM9d3ZWQ2W0EXB/JoWj67R4j3/pQ8QZ1h4XOj7sO3FIQtQBHUN+OXjHZ6XAb99+wH/wc2XyBqRQoWI0p4lh603NWBro0tiwl58oHkUrEc+n9Nk3u+Fey8AU5PXJgzqNo4aAmRmkdxtnNLHGbIWlLsB+aaDZJu/Vvza9217D7bPBQAIc6XqtpDGXdLOKqvSb1Qq2ZLzPRqtF4n00GUNCFkxfs33zUYFXb7IGO4nnA4z7sYJ05pwHiriFHD4WWJxvgNKr0izoHtShFFwFUXsKkoRpKtg+CC4+7NCgaE3LPy7gGlYqIRcexM6skQrdIXKx0cW5cT6SuPtiq7PmH91xOFXEVCyKWoH5DcZ8WZFmSPKGgBJ0K+4x0nho5Fda0GcOD79A1kGp18WjF9POH9xwnpfIKtgPPMz6rsFb98+48PDCdf3PcIU0H/kOpvfKK5fgEU3EzmToUIVOP8oYPpMcPgVcPpVxfQm4Pl3KuJVcPdTxfjVjHzTkeF3CegfBOsdcP69Bd1xQfk4Ip4D4kTxKcbivKflntTepjqtQLwE7k0PJ1wBuqAEYF05z4eQcUwLli7i9f0Z52HF9XnAai1b4ZgRU0EZemstVeRbipWtN8HiViBeyQLQwLVw/R5j2OE96c1Q9vzXHrh+n/7V6eL5ANH2dAZOP+P8nu9IX/de6XyjWH+4QNeA4590SFfg/KOK+m6BXhO6jztV+X/H66+f5FqPDOmyChfSAQQuqw9si7Saam/t0ZrUP6U+tUlph2k0oKEOkYhfrnghve4HicCoXWJWm7VROlw4gJu6NTzvft8T53wIkDG0PhoNaJQjR2tKT+N7AG0TaolaCNAqCGuhYp0nD/6q/J1gxuVNGMg2ZgAv6NJMZiorUe37AsRvPzpHX1qvU7REd4c2fMvfdJ+seL9v3AIgVkMZqIYFePh4xHXu8HycMSRaTtz1E665Qy6R1A+nce5iQqLlLtJD+lI5dXbQs7dhE3cBmoy+oyTu0+pWIVUY2ItRriMs2eW/vZIaXHmzS5yJjv6JNBShDl1TbeXn87Nf0O3sGQFg4JjLJgxVWawIhvw2salO2vz2Oc5EwYNBtcBbgIs2OmdDdvafHbdr+5a9iRc0ev7trQJ17ABTyq57/zPZHZL+FnUXxFs1La4VWHnNWnbCB35NTqnydWQ9oMiVqFrdkrJN6GH7vRdz99OvefFif48xEKl0xGY/JpYYihVqWg/zrncRLuzlyJLRe13tWjqyDcICxOeAUhOexxGqgmvX4dp1eJ4HzFOHukTEAuwFPbwHFQDqyqKIZPasSJeAcafSDhgKv7tf/xqwQ2NlQ6UdbW/JkH0vAdJ129cAFr8SKdBi7+fKtLap7aiiu9NiV7jhNXCOhyk3pNCfeTEvWJ/f1UTpase/KfoHeiSbcMcmnMfEovVV+ufvqMAuRqc2l3yG+F5SLLh1ZXqOJZPbYvYSzkapnbTeLpi4SRwEkIBQyN74lld41Y3G6QXcF3MU38202P3bEwVaCjEhVgHkkzJ0ozlXBdxSZT8vRCDjiNYGsPs6VLe+SlUrmDgVOzYBPE8ayCCxYC8LNAesOWK2/kRVwVoFa4lYFrKRmviOLyfby0NWNFGhxQrR3oawv7ehY7F1oq+zMzXUywiRiW/zDgeY6OzWuLhOgNP/bZ8Ojg5bwlp7IvvRzw9VhMuCuC/m+D7pn5O4XutoSvPRz/v9jXAMaI/hMQ2ojjpy3upFoBbI1Wj7vT8qn1NZgWj7rc0hovvS0H7atyjFj3z+pu19HVXOp8gkt3eED3AUshrNs7vU1hqUb7hPxGnrX68gRZnINYvcPv+lKHRMqOGIcuxQ3FfYCpTd02pzLwE94yb3lSVSHFrcBfBrTWAnko4ta+V1mKc1Pvl57AozAMfHvx+XSvQ9CopZCLXrs3F8EYcAjaXwzXrC1/MJHy4HLGsCVFigky1JDiaUxHksrbc5ZEFcFXE1BfS1NCZeWx9RAVjRfDAV9LGDDgQtah/bRQVn662VQMzIQl68KrCy1zistLuqwQdwe/nz4LVtN5wPgmj34uOhFegdyKks1uytbvKN0ZaXgPlhRIwV3emMPmU8jxUlAirBKLa0FBIT7NLM38tzRLoEpDPjhvUk23qzGhWpy3YmZPbI6iKs8SeKOsJFmmwdlKcOJUWkczAGHLDeEA1FFpTnLcEndZm95P2TFe0+Z2IYF64vwFoMEpM4KQM0AvGZ68r3PL0kvI8n1OcOcQpbq52g6U2UUUlonQRy7q1AxvuFwCj7QP+RyWIZBMurHmX0Nh8DAosAc8AqHdJDRPcoKKNiflNp42YgyfCBa2F+LZjf7ApqAtTbAkRt+VQnin/99Bn6WPDl5RZTTjhPPaZrD83eoqlADpSdsWuWAiLIVRpS6+JeemXhx5lbL8Sq9on31RNbhaaK4X1EfOZnLNamutwyVna2b1gEeEosUNl+Jlmgc6Qq9FXYfvlXeP21k1yx/ji3sWGwgJZYArYALfAoo4kYjYbiji8PEe9xayju1fjeAJY7JkX9xwXB7IHaIQgw8BkMaZoL1WvNJH3zf+XkKt0nAyRADcB6F5qcNyW92bPAyicnUD5G1O5gggjkqTeRJ4sLw+OK+A2l4svtCI3BkDVuWqGChu+njoiaAmHh2JUhbOiABZj7JEBjRDX7lTCbqE0McJsXyYVzOwWz1wADTRET+7HA0voqWTWEHTbBAkRpynw1mrH6A1B/MqIMA75+c4AcM443tFiZcsKyJuQ1AgurlVLQCgga0FAUqUqRmsOA7lzRf1Q0SnuuRJpWowd6UtelTeQhhmbThC5RsEpAik9R1GOHekiQpSI9TgBAwYrbAeG6AtMKHRKpPSmwvzkI0lSa2iOZAJ/Qlf2Z5ExaaUqQSCQ9zCuwZNRjj3JMyIeI9RDYd9AzEFJwfhNJVVSjU2qin50j+GEpDd3k85Yt+XFg95MgV4e4sQqsiLHeJc4lW1s1AfngaL1TLWGHI5UKAR54KqTCpStR2lgraT6OsHqSuUMZnSocgkDrzporvgwoAWwoL7AlD3vE0lAqXVcWjuLA4P35gvrwCOk7yIGogvvFyjhAu0ThrwuFSmQYmPzaPqWHgZ6UFXxmIJ0zRqfa0Tbh8Guiclcd8fHUIfQFMVWUHFAvCbKGlwGUberr0WhZGkkjUwvcUoB0LNKJ9Zvq0AHSA8vamArSbzZVAF7Ym+zp+SoCcVqmsojz4mXosAL0VxS2ULQigxXkSJPe7YVOwa8VsB4xlIrwxPHUoTf6ZsR6Q+ul6sqaHWjVMVSEQ6Y6ZQ7QJSB8FZCuQJwtMF1r24so6ETWyx75V9313llBxhPcGoi4uwgfES728+0Ti/a9gWcOPHAtYIKb+f4phYbYSFF0j0bRTKEF35+qJFMtttAOayDi0FRnmx/wRg2VpVqBL1hShZbMOh3bx4SJXHva/O/9Df8u1bQV7KxTRXh0QcGEOhgLJjPBrUNir2XP4ltcFIf3FVIF07uAEhWXqUcIW3A8rx2u557FnCwWpGE7Ny0A6p/VfC+tHWc1GxSgzbU6JpQUkJ4BuUxMUgCbY/aMO9NPcPZOBe+v43uwVaewF3Tf2jAxWaRgIm2byjG1pDyGALnMCB8eIWXH5EmxwfResEEP1G7cWqD82eweu9Mi840iTtRRqIOifz1Bq6A8HREWtN4y0qDREjX+KVb48T3crX5gnrFEPfoY4OhlTkxYPBCUAuQoWA+GRPtbWRGpmj1HWBW3P8voHmZMXxxw/qLD8FRw+AXnSzl1FNV6k7DcCsaPitPPV7glHoJgvR9QxkPTlmgBewX6DzPCxzPw+oYoZFEMH9aWJFdbV+y35jxxDQlNgQJz5yvq3RHlbmhxgrPcOC7CGvYuBmqq0IYWs2d6aMVUqUo7llm57u0hlhKw5IivrydMJeGr8wmPv75h0bynDQwktp7AdNam9KoREGMV8hoFYaY4nayFQpPem2t2NbXnz5LN1rUWD99rIICMZCWkqSCeV5Rjh/kNRVbHqRAJdyuhPgLSmSiZ7YuGajtgELxtDcD0BojPgn4lch8nExQ1dHd+RQGhMnCPzCdF/QFjpvSzEd1TxLUbcfP5jHIMmN52BDLs5f+34gT5U0FUUnpL6TB8EIxfs5B/+ZwFlDhxDdSO8X+6CmQG0mo92AKsp4jae6/5rmgBAA+cR2kiElvugeX7rMSnr3qEGci3inosKGPF9bOA/knw9p+v6B5XTG+OKG9WlLlD/0Rm4XLP9fIcA9JrPrvjr2y/OwA1KoZfJ+DXqYFvTvtWhfn7MtksB0X3MeD1v+Imd/4+xUYBxgZxVtz/G+YJ853g+ja1GNlF28ICdB/oGX3zU8Hh64oPfydg/P2PuFwGLOsR/SPw5o9XjH/+gK//s3e4/JbFQAvBk7vvPeH7d494mEec5x45R/zRn//ItmWFiGJ97iGXCAmKOpDlgTlAp4hkHsDBPHk9vqmdcnzHiv6byP2vB2rPYod7pmskwh8Xwfg1963Lfzjh+5894Nd/9AXu/41iPQouP6CVXhnJAOs/BvRPVG5OF1/MaJZS+JCQLhQkKxP+Sq+/PpJbK0VqDNFqL6/IuX+YBSq6SzYBtGBk+z3dkq4dsvmiGhe2ZEeT/+xGY3a59VBhFTOvYtuB1m0bTJO9t4ohjawtEYm8lqaE2z4f7YGy0u9oA6sSL2iG3pfndEz/4wesoTXiFV1lpa0Z04cAF+TZ+p3xMiHYI174JBhrB6lsP7cbyz39Vay/1KszapRFCkcx6U1XVpLKMaCGiCl1eAgjcglYl4S6BoQlsOJU5YXIgSOZ3PSxUY9ENpHTPUIoWy9mo6AFRyUCg3wXxbHfFXUxI7ykwDoqFKhg6zQ3Tbselz2a+Km6MtAsV6D1xXi3n7eAszEHAlqw9a3+AQvEG62q+rP85Oc+RTi9+Ov5dwAgAbVPjW7ula8yhC3oBxGAYmbwKrJ50aq0ZwJs88fXqrgCd62bzdB+jvnc8lfdzbNuN66C7efqJ3Nx//u+l3w6x9v36vb9T8enVYt1ownbfgJHlyteoPRitFLpWZ0OGaS5RW7yZQ38uCrQNbAXd5VWwW37lBd0hBO9iTJ5n5sImtCVXasG9j6/KBiIbGJwKbb+ZrV5/a2X7IogDRHeFNMbmuJUc4BIX4rce/x3AUN1w/b/7mGavVGNxZoNcZFtLgPt/5snn19zm+9qvW3b3vuXvvzxikBhwXFAYwXt97rSsUrv7Scv9uxI2rIIKKajjroz4Kp5x3Swn9fiAZaZW3xyrdxftuf+og+yJR3a/rx41e1nXzB9fE04k8T3LUc4P/3jLRVl5y0bwDPpE9aEFIUEpxtzbscF0BiQl4hrtGKKKPfyOQKrrwlpCFzb022f0d3+/l0sjXYGYvf9T5hErQVJjHkUyGByyxJ4376j2Hu095PPbNTOjsWYOAcWJXfBfxMktD239acGQCFtnXis4tZYe4E6R3E1cr5XfXkdYu8dPDB+cY125n0SM3H+aUvWVLbP3ttstKCzF2MsWdEyAi7wQxuWDRX14LPG3f3Z+G+iZLsCQt3OoxdnmsdviqZ1AOBbCH5j90G+4/z7ZI+vPl67+apAyBVVrPC2P3LyxqBrxdTduKuzSPy+ijEW1mhTjvvYXkCwrbNP9li1uFCDIKZtXwjrJsrZYro2RmjJLaBEqlMgu84ZI35WmNL7C/FW3zuBl2squFXLFkfXKAhdgLhFyP76rZ+1drwmZ9J4u4HKhuCW0Vg4u7GDApoFH+Yjppz4PaD9nVJBjBVL8knJIqKzDtwHtXZo7S6AtW6NJj4aZDv+fXuogJggUaPj2qHhgp3+dUmkmwOwHmwlApwFociLcZQKtjEomvVX28N3zJ/9Upbq7Xa7a9k9oxdCfB7PGSsvrEDotvkdMtBdq3nLSvtdRz1FpSGlzXrL5nAuAbVKc7CToi1GVUNtQxWgCNYccVl7LDkiZzIsq42FVt6gTKElqdpbkqu7ewNA7SIb2yygSNQWtzmCK1XIUPnkmHtRICwB16WDtx3t7b1CwcYW3I3rHiTz+HRrQ/h3BQ98/fWR3PPVrlBNbZXBlBp1pNrf+83R7SXiZJM4+Qau5jfHpCrOXBzzfWQP14fMKuUQG71GIwUKusfFDnY3TA4oY8B6CpjvAly5uVnliCEPPQesO3NgvfemHIgMxAmkZmSYoAyvT9Wo12674sISmXRY2hPYbM00j0YKVsULTSiCFXFTcqzs4QiXlZvioQOqIj5ciZKdDqhmwZAepu2AAKg2mQsD14HKyVRC3QXzRdkTpZugSXuV3mIjYS8YYMExIHUglcKQv9IxOC+TQD8mnONoh4kgVaq1xcURTMsXB455/8xKaD6E1nDfgiNDRfdVfaxgQjq6qrBt7j2rhUyAjer8VIF5QcgFcqXwVH5FWrlTikhLHlDGhPUmtcDF+7E1CTApZJoheVcqCgFIPffgpgzK3tf9Qd1QmE827f0rFLQkqX9gz3l33RSBNQUewp8mfn6YqvJgDEA59iZwFWxMjSIdKAJRvboWv30dPFh312ibabqwRSBkQcg8ECRR2KfGgfe4t/IJjHodcWwU4eCHvI1v0U0oze+pYvc+TMakVGBdef8mMiUrRcpcmGn/EqfbVkOaa2UPqhIJxroaoiuQaUZ0SzET74lPM0IUSB1tLgQsK/0a4ySgVy0/I65Eb0JmtTEsaBtx8IC2eq8bWxtUALnCLG4KE0ZVfn4K0Ni3XlmZiFTpcUTt04ueNUe4tmRHtn3XewvN8qQpFxubw4N+p8+2Q/dygqyhCfLUmwMqekit1Bw4dOzhN1G3LRD0vj6YqIcgXjgP6iyoEzfZTxMkHvx8ruXYQXJF+jixX21I0BgtedTWs7YVSRkgOrVuPZkQ4MLryEdgeus0Wq7HODPByAf+iQttcEjxRLNwo+q+B/livXER3fOK8LyYeioTsGBIZT327MGN0n7XRf5IgSfjJKyk19eeCs/tZ1wpGNgCWV8T8wJZVs6R48C1c75uVlEhcI4caVkU/HeBFwm0U5khFdG2s3zTYb1JGJ4U9WeCMgZcpxHzcbB5waSgs2fbPblIC1qiRZV8RZ3tum+IZse5GkVRm8p/mFbImSwP3bMKTGl2X6hoVi1Vkc6GDE8Z4XKFDj3y2xMg0hhMzQquUoWYAoq0oFmPCTgmDADi+4i9N+n8lr1u4bK0vtHaR6y33cZEA7DcUthmT9XunrgHLPeK5R3pXfrNCMmC5Lp3mXOPtjnWg5s5j3l9gcJM19zipNpvcVIxJNgRWYjN5eznFKmY1y+413SPYmqkPGvd8ikGYH6dTFuEQW7pBdNn41aAyRXj1xUH61+sfYCsQLosZDUAiFPEctdhPVpCWxgPrXcU9pSlov8woY4d5jc8B4avC8J1Rb0dkMe4o2sbA222dqPTAQhAelrgVjwQQbisCNMC6SI1NuLG3HMbsTIm5FdsAxHTbJESqOjcCbJy7vbfEOzIU8TaV5xFjeEmkIXxXfd1RzXmyrhQrVgEoIEi60nQXQLSlYi1FGUMeOiaddOLZAHc92qiUJ4zBMS/sasKlD6gxg6i4Hsrn3U5dK2/PR87zK9TK9qRwRKx1Ij+uWD4prYEFCAjIB+B9ZaxbPfE2GQ9cRzzcdcP+/mMek3ofjZAClAHCi7JOeFP/uX3SWe1hDye6Z99/f6Mz9894skTocL1IRm4/M6K47sLLt8ccfjzDjUB8xcZGArt+fqMy3tS2Ui9r6CGDNHDMLPXV3tgvbN+3SP7dfHVgPGrgDJqS3CrqTuni6B7SrTB+cii3uWzBHmXkK7AzU8SSg88/G1+L53RWEYhK5Yj2RpSbe8rQHrmOTO9JTU4ZPbyAuzJrT1pxnHm8798EVvfe/+Adk72zxXD14spb/dYC7C8Irs1nxT5tQlPrgHIgvk1z52wAPm/u0OfqUwcVuD6rkMZ3uD6TiBjgc6h5VTlj2/xpdwyxo5AORWMn11RiqD+/Ij0HCgetQLLK2B9TaaergEoFhYXYLmvCD+8Yr12OP7rHt0Z0A8EmcoAzG9gjA6BKHO2ViMvjDvnN3w+w58OuP7JgK4Azz+0n1lIZx6/YZtDHrj25leC6w8LNChkddsrrtk4RcRZEf59IbmaC1yFtvVNhK0q5vQNYKu+tIb5zMpFaTCAoAo3AKfkaCD6FGdDnhSNTut9KmGVRq1BqzgaZD4IykGazPZ+A6o9DwQXAWpoln1mOXBBu7+WGNuJCKW2w0mqUVG9Kuzxp1mWBBOTqRJaNa8aFYkDA1PHqwjTivB0ho4D9GbYek1XF/6xapRbbFg1XHZVUe+7ZIK7iWG9SG4dDYO9f6IIjvh92PtICK1KHLI162flYg5e8fPymydJXs2DJTp2TUFblQbYKjT8XWnJkZpKr4C9Ah5g7lUFJUibvSptXbHA4PfgfS/CijCs+NB6Zl163ypCDYUD0JSa9689+gBsyVxbDFuF62VF256x58OV8y2sIEV52iqrmzcoP+9TBISMARAVBNdCOVA5Ng9MAvK4BaLOOqgdr8F7SRpq+wlb1W1CWrXUK2hWbdWOSQj9LHWrPIfdwv5L0BwmeRtC5UrK/nti49gSfK0gN9Uy8O967b10/b2C8Pc8Ka4VQOT3jWrO3lwAtUBWRRg6hCUi9NxrarFqsI2HPzdXFgx2KNKA3ZMU7BAvznnvcfdA5QXrItq42b4jljRo97KwA1dDFdoWfGuEW49hgfs9q9lceT+mUwf9WVB128updj0dH7iqNOG2ClAV9JPn2lgIhUMbMujSYqIT7WcMPfA+fy8I1iSIaghlKdwwWqvLJ59nw+QF0Zpkh04I1ChwZbSevR3KHsQYOh176baxB5PO1ZCGogjqzwxW3LAijNq6dwsrVeBIRWNHs8X314pWXHT6LjUCrBDh7RC5mh2XQKPTTnXbp3Np7RAIShXtdQX7YaqNodmlxa1n/tuq89yAXOMg9BaArYruWRAWpVhR4dnWmDD27BgM6Xau+Z7g6Lgjh8HO0GjOAbUyYPL7NLseDVvhxYvgfnZqFBN8UugcoKWyzWfNFKvyRKIqgkg7Z8Nq97ljSjTtjS62/dJfZYjQycbHknERQKV7wTSrHRVogW3vDOu2FTG4jIiXuFEZd/M+ZPdvtXUvltB2pCiHxlSCxSiMmWraijAuLiMFiI5sCee/JwZhZbVyQ8gEchZ2fQyCUOxMtX09j0S52AqmiNNmT1jGaJoKgNPHA4CmsK5AsN5hTYJ8SOjyysJnF1u7Cwd6F5NYAUlk66/eWxjSvslZW+B8zfa1SDG8BgyovXekYI0UUl6lKioqC0/GIAnW7xlW0KZoj6qrzXtLHuLEmLAmLjOPGYslvd4jyH5pAhObzoV8e2O2Pa+xC+xMd/tHX1OAx6ymrO5K4zFsybbYHrfvvwbY361AWcJLNBhbHFYOSmE+O58caGp6CoPicFxwyeyjDQWYDhXlUBGmgHgx8VXbX9Mz+0rz29CSTJ/3YQFCAsIp4w/efY1/kb9A/WWH2ivS3YLjcUafCmKomA49WWhJoafC9SuJpMh1iyu1U2hf0Z8WDMOKp3OHOhAo2W6W9xIWJlvpShEkFSb6NRHl7T+yGJrvKKjkgk57u6hy0E2A1vrj42xxUUfRT98DageUY0U8R5gLG/LIcymdrRC8wsTZTD/BdECCrRVNinKo6O5maA3Ij70BeoqcOUeH91uMAeUaBiKLWrFCwcJDnO0ZFF5H7W2PDBWqATALnzjzuvKJ54sEfRELEvQD7m+ueBJFKD3irG2c5lfmv5yxjWF5+fsIFBYWBYZv+EzWW/ZRs5DBa+ifFP1zwXwfsTgoc5N5TddIZlibZHYNf0E4+Onrr4/kpgjZq9AuGSiRfXmBjfQIwHpMKKdgGwUHwCvL1TyzPDDkImICkCZFmqk47LSidGZ/XRlCSzKLqUtWUxmkF68Y6mjVgbdEhRicetWU8vv5ZM8leIJg/bGjYn7NB1ifiAQ4lQJCw3j+nkAhSGo9SYYMANhQlqqIE6/d96FGJbWNXbvIavfQNb87UhbZt9GCo734CEAE16iF4Xmyzc4S4B29qwk4+fPKhQFmCJuwjKMFp5EquapIl0pkazYU5Sa+TNI9MPJ7jttYxZnoIBEVV0f1/lw0dNtpaFQmDu1A23yJge5hRZwy1vsB82sa2qfnAhXB+u4IeXvYkIzogbZZeoSA9abDeptMzZgHVrKFm488JIY+YLws0GUXED8/Q3vO9w0liQxCoyXoNoZuE9GfK8pqdgjLRgvyYkFYred8VoTZLFWKifxgS7hb4psCA+8uIA+kWi939G8snZg0P5WcPbnlAe0MCT4rXroVlmyzDiuNypsvaqfII+dw9P7solZEkBdFiU9fjQJXqJgpRZtK9t7mSbyq7cimU4tFIIfRrHEyoAVYV6BGSNdBXt1vBQdgK0bs/01+8Vb4itEQn62wI7mgqZGHSIbElbv02AeUTpGmbe61ue7iKUAr7MRZW69O612DVYgXhWhCnMnCCFOE96JWU4OnAFOg4izQ+gtrz6CxUXOqImgm5VaE9PGdcJTbR9U+moL2Zn9Cu5dtDoSlIuYCdZEuADIVSJk5NmPf1qR2dp2R+0mYC7pzaIqqZOTQ6qDRKoFGtUpnJkppVsRrMXX7iAIgdRGiHa2AHHW2lhQXc1lvQvPPdIQrH9BogVDzV7zRLZHWrXhJBf9qYyCt505s+4MK0gzEc4GLsDEYDMDtCFdcRwD0OGDvK+1o2Fbktd7LpTR0CSiIVuUKT9OmhB9ZeBHzfW02OSHQQzSEZnWmx5ECNvYzqor0YB4ZbiGlkUIwc4ZMc3sfdSVjmyvUWzCLliQQDcjjjkKm27PzImcr1um2kRSz0kkTx7NmY9bsCBfaJ8BYAeW4hRwqYIGuFwsi65bwAsbUMu2JKNA+NZTcf98p+Pm2R/78sBWXgFYEr52N846Wn6ZCC61cgD68UOKHCeGIgh6iSp2OfLTkc2QihKDQKSI+R4y/Zozg9aKw6O4s5F4Yr+zzzlaU1CYKBqwH84g98LqXO2B57cUJDnc+WZBtrLeatKEby5vCJDBwXy9qojtzQJwCSq8NfQ2ZWiMOIrAYjFZUCnMBomD+wQ1UfKxqQ9xDAbpn66s3VWoVoNyP0CSI1woIsN51yLfdZnmkHNfGQMkFejNivesRZvajitICy2286qFDuK6ID2dol1DfnFikBmw+S6MuxsnOmD5CFeieCuLibUrcl2lzFreimRVtRCnGxnNOWmKbjxx7p6vWCOhJsK4B/TFxDGZ+brpm1JWaJvXA5IUxhtDufbEe/+TrjPFHd6YWiMeztaMFGgCCRLs+3xptnikLUy2errz2sBTUZYv+u4tivQcK0M6mtn52tPP4HHD91Q1EgfkzK6D1jN313YJ4WDE9DDj8ad+0aSBA/2WHrx4+w+F9QLJe5eEB6C5A+cmIP3z+HcaFbws0KmSJeMoH6ByBzL2yvl15jkZ+ro4F2gvWnho+ABAmga4RS+pRSkC8XbHcrKhLhLwfAFHobYa+rljnCFkDug8B6crnML/m2j39Ajh+VSAasd4y5q4DsDSKMGOfdOHvLa8VqNRzoCUYcPhVaDETGamA1Ijhg2B47ywertP5NXObNAFhFiw3guvbG+xb1bqzkhJ9jSgfbjiG88uEUSNQrDBRe9t+RZr3b33qkJ4ijr/kfnH+oWC93doHNCku3xw5718X5DvB8FXE8J4xSv0p++F9h6y9YvqCRcP3P38FmQO6iNa/rYm5URm5jyyyKxTNtk5MxC0au2W909b/XHuCO+nMOfjh71Codfgg6B8Yr57ur6hVMH1z254HwIJV7fVbGNRf9Prr9+SmyLKNvWTOkKRGw5Pm9Vm6gJqibUqK6BXiYg3v41ZBDmVDt7qLIl2KIV0MuOLESrqUZEqK0tBdVkSt73bHua8dsL4qQFcRnhLCvFVbneYAoFFA/KU9sHZqFgmGIhoS8gIVMLQLTkOL1rsWd/SbidVO2Ec0GxAR4Ng3Vcg69tAhNuESdYGYqs1LsCFnjgy5gNSyApcrK9cHCl7JmnmYd4mBa9hUADHZdTTkZBMXqjcHBs0KHiD2qn1Auu7eA2g8eYALgGpoYOC4KNKVh69vzP2zfU1J05GogCZWJMfIjT5Jo3DVSHRt+KZSZOV+wHwbkGYmuQCw3CeUXqwHyjwqr2WHHAXkG1qeeBXTq3Gh0O+LthAR/WlA7bYiQnk8Ix4D4MJAO9SxBaWWYECpcJgulT2dHSlTZZTGHEgXBhtpqlRpnCnEI6Vuwi3eg+2LWQToYUUZBofLDT0ba0tygfXeAiAW96E9q6B8T96TJAYiugQgB8TnQJqRBVFVKAgg1lsZJxZmxHrk1JLMF6iRv4Jda61GTa2Nhrsh0lYyrdVQPEOaRFiI6XqIrMAVQFWK7ahSmKlLLUh60Z9XKwNZtQTXx8w9gfdojlnvCEBxpy5y75lWJKvOaxT054090KrxNnfygQdnWF8i5CpWPRXfGCqkBJRjMroho9Bq3spq7Q4KMEATNISQSE6Arhu1kGJQBa4y/kKUzpLEcqDomBeINDCQ3lv79A/Wq7ijgMuyQhZAlwVSilHsmCDVXcEsrPTAlBIbkqIBO/r2fm8wn/MMxIn03RqiJQS2blSbr7WmXZuLFQyWGxNIGU0MJNFvUSOVnFnFVypKAm0PL8VPRgVSJbVPAvfuR6I7pfiaRaOVNiXkFJD7iHjNSNcVioByY77UgfcZDO3a95w1+y9D8MjUWTnnzlfoNEGOR+gxbuujmN+xVsjNCei7bZ4HgR62NhRko70/WZXVbeNsX5J5gT6fKY4nYmrbQ0PNXEE3nTnXQ06NDeLFv+0BwoGklugGm9p5ZELAr2uzjNtTWWrPZC4fE5Z77vHBlE0XEy/rLlvyyokMJqdJAXSNui77PixDrTQI8iHi8jmVoPvzlrx7uwa8991/dbYk1yIlt9FpxdrMgL0Dz6/1GJCPYuteUZ3dtQTEi+DwNamJ+z2h3YpNiXBd2Vakx10CTvGbPDJWyRZEzm8r5AcTahHoxx5ShArOqUK6ithVoAhwtiLA3YrUFVTvvbPnVuaI5YnKvt2zrUM7G1/29vJMjGtFuBbUIWF6k1A6weG9oHvO8D5sKYru2ajk1itdDp3ZA6GJFS6vUrPtksoWL9mdIVIqysg5kS6BcV1WyLxCqiK/PWG97TDkCn06s8Dz5mQ6GtbWYAXYJmRXLRmXgO45Qx7MpmxaoTGi++EJ603YwIzI8fZiJSesodTitFVBd+acLQdB7hnI50NAFCBejTqvbMfxwkxjsAHQRUzEjuvLKemhAP0ji4Y1CXTkg3MrMk+I1yOLUNF8t1W31j8phqwXhSy5tVMAZNV5x1pDbls/8LZPposgzpFMgC9mxmMLz8TXr5/xH372S/zX+F0M73ukSVvyNn5FZlOctRXD+lXbBw4fEq6fKcpvT6ypXxKQBd3HiHQWTJ9XHH70hFoDljlBqyCOFG3QkdovmCO696S7r11EqcDtuzN+9/UH/OSbt1h/fse977MJb+7PmNeEtUScwwn5S7akrbeM8cOfAeOXV5T+iOu7SBT2oAYK8O84s/WmDorldWYsnxLiJOg/Cg5fajv/kSiYVTPVjm9+WdremY8Bzz8SrPcV5TkgXTj2tef+cPjSQLyrvGBLkn3AeHm+l7bvuIBpvrEYLm9q4umZKsynX1O9/uFvC8L3JuQ5AnNkAvqRiLl8b8I4rpimW/QPAWEGjr/gnHDXm8sPFXg3Aw89xl+mVsAvI7DcKcqxbmeuEqikaHBosYCaPkBY+N7z64p62DLTkCNC5n3NP55we3/F9V+8wvCB5/u7mzOua4d1ukP/IG2+knklKHt09y95/c345DbKTdxsKoCNogOYaFFFXDa1Lq9Qev9Iq6pV9rKEbMH/apVx61v1jRUDGsXDg6E8WGX0ZD64AyF797FDEWjUVg1pdBEbrxcIl10b1u3/nTINcIPMx9h6Kdu5rnZ6NIEBscmd6D3qe4CrMtvL0QD3n4trbQnOXjTGUUnSY0uj6DYv0Y69htqlTUW5szEzlVkcePAhBqjGl32U3lsJkELt37DgVYolqNjG0AU2vKDgNNi9ojWv3cbOfGG5mI26VSiuU0arhiZD+HVLIvKxg8oN8uHbTaYu9U8/OzQEFwGoB252xQVEwlbVLL3QwnDgYq3JDuFdqSiM/SbQ48jgd9Fy7fuNwuhz2ahslH9n8YZUNm1qsxwYtDXjokFtEoTde9uLmzQpyvmo0A7It9Xmsc3lqC25fclHsfeM7CkpB6CujCt9vL0Pm0UMbb1QL5JbC8J9PKTY3PafEZuLhp7CvFdfUtV3SZHP51qJsIoJXrUEgkmxJ6q60tuSysCG4jYlM3t5QWl/3WVbE6QrcmwDgDQRBZUayPZofc38fTWqfhOqsOS29fvb/dROkUHxuHqxXmuxbdeVCMOmttsutwnf7IIvsbGM3Cip2uoJHgN5R0Fhl+qKz2S5oAVGGmlTwXHcClhSChASLYlsjxFVVFtHRPGt7cLaJNKlInRmAdKGXa1giRdo4AsBJpvrNQUEjZtI4H7f6DfrFMCKC0cWceqhcl4nhUTrzfKECwCc3liFn2WHPVxYpd0zmr1Re4YqEPuhhnwkQ829/QO8HxWwqKteuLS/VUi/dhu3Ujjn+o6MEJGmtA2AiVg04Zfv2FvaWbErFvn/q7N9vIDZJRaEdoJkzY7Jku6mJbEbDz/npBLtA9DYUO1PRCs+OgMrrEAtRNhLHxoNl0qqRpcfNsXpfYLlLUlyMAXWubak2UUhw1pJt3chOy+k2OMkCsb3mlJ4ca5T+XpXDAMQ5wxIR/2KzphEILuBvxMbfbh0XPtxImpRO0HJ2zpKVyKoNRJVjBmNfUY2WmGh/2aAKFkAceZcbQUz643c6IVoFD090i0h9IXz/MWk4PukrmAcVixrwooILdKEw8hIM+acJzf+DHypBECH4NsJ1/VUSXt21khW9Gfqi9SORR4JBmQYZRemmi9CGrwGX1/aPufF2nPa5lob20eHDi7aJ4W9+XJ7Mlq688EBeIHJi3+Zeg9xLtBMtw/t+IcK45wvrQBie7Qjkz4XA9Dimjjxd/IRwGErHrS+9BqQjx1CqahGLS79htZ6vEFLHLQ2CylAd3WRT2mKy03EsJ2NePGZubUlbcyC9QYtxhy+7lDDluSuJ1jfqTTksbWQePwbgeUWyDeVDMaFqvwykf76ob/BH+H7mB4H9B2QsaFq6w17SknzDi/Oqvm1YD0pk0hDx9GRXVX7gJrBBFKFvaIXFqnGzy54dbziaRpwuQwoQZHvuEfpsSD0BaUE/Or5FvPUQTqbUipYcsTj04FWP+fAsQFR1DDzweabHiErjr9ioXR5ZcygIxFGBf8GgPQhtbEvoxU5TvJivqihluuN4Px5bPtajWS4hDVg+KjoH/kz13ccvDJabGqFBy8UaACWOzELMEX3bFaTxZkytucaxZpIsiCdLeYNvJ/DsKJknksaFOVkCP1Dj/PHHv1krgjO3vH9yOZevTC5LQNVktMjP295BehYIVNA9xTb2KiA9Gp4rMT3LQcby6sA19ji4rDIloNdE87dgCCuCg/86c/eAUUwzjxr8lFRxt1c/qvluH9DSW40MaW+g7rY0j6YDEC8rBjNG9aDBB4k25VqosG2KNA/ksIRCqvhIVfSOI2yu/+d2gnyyI1lPfHBTW9IX6sJqKN7n3lfoSFbVvkXwZahCiCiVNtcA2QNiJbkhkykwhGymoD5FTevNFl1NHCjd5N7RyNUmOS2njhLwpoIyVpIe7GXrAXxvDuYzSJEarWgmAd3uJYtyVAGYXoYAEOEmTxYtfc8Qz48AikRFQgB6KJZtFjw4CIPAnq/Xlf2NBW7ly5AVDC+J+XQVeTa8wisYNUkWA/skfONvfWyVG7+pSMaTuEYp2UplpuI9WgLsGdSOH5gcWF6mwDpmkowb4xiRXGqRivSFkRV63/ORyJHeeShv/l9bWp2ZeTX8gMP7v08k8MB8OREXBF3o6Gr0zotQG99Q1nRPxZ7f1ZjyVCokGw+g+s2gN6HBBHAxDbEteotGWrem5X9Yss9sN5UlNcZkiq6MSPGihAY+OcckdcIVUFdXyZ/kiqQABXFDJgqdmgHIHt0LQixirhkzkEE3h9N7uUFHVCcXWBJgY6dISRXrg/xihYD9H1POfvAbK339nDcLqVUwOx21Ho59XyB5tyCekmJKBiARk/OGW6x5Wi7LgvEAnEYjV8A6MJe3ZjChiju++gyBZjigajjfBd2KpIvd958EMigAAK6M8e+Js4jp/vlQ2xCIJ+qk9Ivs7bAUKNAa2jJOGqFxojas3+3dqGti1AUaxcwvd61iYA9MWUExg8Bp/0YAWSCDD2LEha0bg+ViWzrQYsW+H5YjE0zNm9OUVgxp1rSxDUZZ44dzFcVAEXkUjBrNh8H9p+tx7ApOCoP0/w6Q7qK/rAixoqhy0ixUuG9kKpYCvuK8xKhJUCvEfES2gHLD96SueQBZ7J704q9wBaC0Hd6t59vPXkUfqO2Qt1Rak0RPxr6OpGSXE8HIAWExwv08Ylz1osKzo7wsd/32C1EuNzfm2qUZdvPnUniLxNkksxCaBOCUzT/cA+KXHDLlVfjouifeF7nU7B2CPbglmHXEmF+sY7OQQVhtfVs5DffD/09oKxd+dccFcmjWHKIltyyQFIg84qADsstbVrqYEGgJWvrUZrFTj7afDGGxfBoTIHdXA4PV+CuR7kd4BoNbIVaSVO8S1hPoaHBfB/u70QfNoZHsHZyEVjxUtE9V3SX3CxutIuYPhspzjVV9A+5CWOWTjC/YjBYE4godUpPyL7g9u0ZXSxWR1Rc5h7z5PxKAFFxOsx4fbzi43XEBQOWkmgPkkntWwPROtKZZdtrbOkXa3kBjwNIqRg+rFvBTIB0KegeV2gKWG8SSgiIVyKo1QWhKhAtjkk9i4Sk0VYrrIUXdFlZC+2nJrOHigHr261NKlpxY/3ingX3y4p0WaDGgmlCbR4XqkImFo7q/RHzzYDahba/prkiXSvWU2ysFi84LDfWmiIUciNizeLD9JaF4O5ZkC4GqIwbY9B7OZ0W7eJ4+bCdC0x8+DPdM3B4zxiXP7+LJbwYhS3hYFLN57TeWhKVDFG8q9BDQRl6nH7ZQ69bkju/FgyZ7SJ7bY60aAOXpCrR7c9naA6Qp4SwCrononzlacDjLwf0K9fWvvB9/X5B+vyK6dxj/qrj3sqtEPlVhhwzE9wlAkHRHVdIUCw5gCyeiloFZY1IH2n99aM/+Ij/8vM/xh8+/hb+5fvPkUvAfOKZmVJBFMX52uOrxzuqv5v9TABwnXuEX4y4/Rn3qOkzFmoOv5IGzMxvErqngrd/dEYdOzz+7oj1JLh+xrGFJW3xKrj9Ge/z8W8B+U3BHEBmpbW7ENRh3+n0mWL6jM+4HirCLLj/V4LxfcXpFzO6X3zA9ON3WO6GVpzIu0wtFHpar8eAy/cYO9/+CXD8qiKPxmTqrUol3lNLy8O4eJymbPEZC16drpjnDnUVaK8IdzPqEnH8VwP6Bz7LMgLrSZHfWn9GZkE2zIHPIyryTQUuAac/5+ecf6To72fk8xGnn5Fddfk+18d6A8hJTVgVxk6pQAFOfx7RP2hjvtVOKapXgfQYUdYBAopZhQV49d8MrcBUEzB/VnD47ILpyxO6p1275L/j9ddPcqM3u3sJ7C95VW2xLavr/HfrSxWrHluw4AkuKUT6rWqsCza9QIHqFsR4MkpLAtvPPxmYFhO07n/QCqBK+1kuaGmVjo1WjVb13gSDZEO2P6VI2n14gtv84jwu/ZT6uUc9XlCKd1+Ogb/7XZX/ymb0/XNRQ2bERTqc1VmUiI5VdL91HX44Vo5hWNnEzudkG3MSACbkIEzCpHIAvdfKe75ak/+u8sfqDxdyGWFUSz6b0qn1eaPRjPyxeWLpgbSrxyKAVL12UOwRiY3K7v05rKIbyv/pK5K606xp9gJU/nysZ1UKP1xi3fpOmecAQpGUMFdT69ZGmWvvJ7v549Y9ahXfT5S5AQC7MfQiTZsD8smcauoxdjCrDWIRe17bOnA0BZ+8xaevZt/gc9QR093Yv1QFfrmWG03Rv/aJOFNT7KpgUrsXl2o/Y0HWX4Suv7hg/fa/vVDk6KWJxYnAWA6VS8Cfs9h1l23/2nu2NmTMaG8QbX263h9dJVBwYjQKm++FygSV7RHWTw77+9Nr9zF2BFdgNOewBVcmarNv3XCa5LdeLVg1uvseNQQaUglYD7IyIKbnLFW5fQ8OWV+wKmTn/eyf4eOGaPeyGzsAu0q5tMo5M2hF32d0sXx7ju8eq1ZhMtjmtbTk1gO1hirufsT3kb2eQbOrqYD4fij8IBfCaPe4Exra/2Fbi93Pi/m7S2Zh3/OxTkZp3p+B/p5e/PHfdJZTBZrqefz2M9wziFxAUAoQTCXHVcIFf8GZ6mMsfB7OpnIm1J4S6ftt6Y0aCjRKrX5y1DT1bqh5zNpZZQVQ2iBt+18NHDtPKlxgrCZQmCoSJeab7+95J2Qou/Pbir0uIrWNh302YAqm2lB/1A1VacwFV5Lfuxj4/uxn1H7aht3Yes+qAqqCKIoYFEFYtIyhIsRKBpYxdFQFVQW1BpQi0EKbM+8vbQJDURCsb1cFL2zk2nW4qnlF23e2WOil6j8LHeHlc7Q5Ss/PrW8XCNvztLkrHsM5EyeEhtw7ku/PBcKCURufXXykzgaq0vYo3V2z0z/Dau0IWTe2kh2JFELV7b6CtHHzZ9dYD8ICTQi8DBct9T7c7PGLCVY5iwbYrSe1/f5Te7EA1GF3Dvv92XWV3iym7PM0KiTVbZ/c7yuwz27zzubnipfMxMq9EktA90gLSNcsqNXOoUSWgRRLsIyZRksatOSW16b0bK0JotwzNSpyoi+rrNJYNWJjqzaXvzqf8IePv4WvpxNiqJSrSAWuGl3sb2n7C3+v5oBsY/atfaXtQbxQAlJuLSqtCJwmY2WYoC3XuO3v2YX1OGHaZ6i089JRXcaKTikX5FNCeGMMRN1dk2BD1gsLLrXTNsfIZtw0PqRS9NUZERoFMKYrhBT6PAgkBzxeR5Rroh6MAHWJ0CXYZ22taBBAOis4mxjwXvgXe8Q6AJJZPIZuwJBkaS0sDeCB3dM57Aoq/mfLD1zsVANbbWpi7OMtX9VAKSTlPBDref73ZSGkfQ/0HSvWHuDukzH/2/tnTI1PZUMy/BWLNqpSnK36bK99v5MLOcXLgnhZkG8H1KE35IkTdLkVlAOAlXSiMijW0dDbzEmgValyV23BVZhSs6AOFdpzMcZpU+BUYW9Ld2W1O51NFMQD2ChbT+1o0HymQiQsaJJcm/1BHXaPwIP5ds+WBKyGQnnv4C7w0psD10zeoV/Z0N0182wyv0uZ1+0ZzQtlyv1AWjMwzZCug97fvLDvYNBmQiwCTs4MAFRkDEtBHROWV4MhLpzAISt0tQBKGXgs90xcWx+H9cEB7DvRKJjeCNY7oCl8mjpcozvuNms16gtEOWeqJSGWgMSVtKViNHZX5S7DViHKp8oN/FQQDhnX82Hz5W2PRphgLSups3sBL6e85gJZA8KUSUkzRNyTwDg5Bcv6hxpyCYhR1ym40ZHKakqiAYzPaheRrQLtghRxUvSPDBiKjd+igEQlkhsqaiXqs7cWUPc8WwMl+1ehAmU2kQSrtnmw2+bBp+s/BVorFY4B3CKnVOgo0JgYtFwmzmEXOhOBuLKCB4I5swgTAtWPfWxVofNsgY1RlbsESUa573t+ru1FpODurjUI37c9LlKTJRn8kjO0VMg4QK1/XmZGQKGarY2L/XQRdewasqi7uQhgU3AH4DT76BSk29ACDQ+GitmY5cMWjEKB4T3pbFphSbGYABWAddsbiKjuvMCF97vcRcy30vrAa0c7gNorD6RstLkUXyDw9eYETBW4Ttve0XeQQ08ywXW1Yk5pirn1ZoQq0D0XxFlaEMm5byyYpW4+mmKHbCk8yG2e75NLL7K4x2I+ot0HcoAMBZ/fPuOQVnz5fIvL3JkXIBHcaoG+XiLCElrFPSxgy4yrZJsoBlsXuL8HNYaNeae3ue4IWK58Vl1A6SLiXBCel9YTt61rBYwmqVHYIlJtTO1v6TqOv/fUOi3f9nHtHLES9u1mOwdSgNSNoowKsoGersA0A+MAPY4MPDtnoJgo3pQh1wXaJUMyacMXPHEDWvKhAa0NZD1uGglx9mDW9tS0USM9+Guij95XeENBJU/0UYH+0Sydsu83aiJFijAVxMtihW4FMvvAQwrQkFB7wXKiNU4+UDySbTAMNMuBCM/6JRHtvVJJeXUgu8TYCDKzjzQfO2gw1PJs9j6O7tt9dc+l0WgZHCvihW1A613i9VufqO+RKhzPCLamuHhdY/3sCuawdaMjz84lR1QVDF1GFOXfoWJeEy4LLfLmNeHhOuJ8GbA+95CZKrmiaPTnMlCsDRDE2VwTZrMu9B7hJFhvu/b8X3jNJ6BE0jfZWmS007Zut7WCCqSnGfsX6caxjQmOA1Ar0jMXYbk/0FLs66cmfKfGLMs3nS2rvs3hsGQq845OKTXGmom9aReZYM8V/ful9fB6H2+cGBcsN3yw4weugelVxHLHQvtyqyyWFwreuCJtTaS5uvr4C5ruK8H8lodDnKUVQaAmNHkhW8GLQf3HmTGDJerl1OF67FvitbUHsWBZjhsNnIMJsg49HtoVL+MMzD8iGte/D0Q0J8XwwNh7PZLmHxdAPvQY3gd89ocZcVY8/yBhvRFMnynwwyvyGrCeE+I14PSzQBrtVwFzPiBZooIAFLMTuvvXEadfFSy3AdNbQ7aPbGlJZ+qUXPqA9AVvZLpPkDng+l+/wz9/eoenv1Xx5g/eIwgQRVEATNcetQakLuPm1QWXy4B6HZgUPSfkAIRecf0e52D3zEx4vQXyDYgwFmC5TSjDCaUHzt/ntY3vFd0vrFDWW6/oG67FdAG659SKaDBUnpR2UnHzgWyMeCEKLhVY7jkfHn6/R009wsI5EFZeT01KS7KZCsPDlxeka4/u+QCIYH4NLPehsUjDCozfcO+YX9F6yIsatQPWWypOD19FLO/vcVgYq2sEysetVTIfpc3HMgLFKj3xzAKH70VUpy8oR2B+ExEnoH8A6uWA9Vbx9HcXyBwx/jIirNJ6ejWyENM9Cu5/wrk2veFeHdzlQNkCElagTw5usXd6vau4/jhz7TyRNi19YafhFHD8qqJe9hvOX/z6GxGe0j2KW7GhfrtXq0Tt0Q6g0TMAS468V6jsfEMFW+DgCBd4qEspkNLvgiNBMJRBirQKe9OcEIXUQOTKKkEMEMR6R/g3gqAke5+8BaYuP0axA0vKBcjB+tGitF5cr0g7Eh3MF9GTXGgAemDfz9gSXa/WexJqwjQuLEJ0FY0SHfbeo+137N8xsvrqBYhAa6MXFkK5APNsCbPRZVuliuOgsGv2e1KwWr1kiCfFPsx1+9OSUqto1gQESzhVtFVS/ZClgiqrOSEzwSsjWhHCUSIPmPd9BA359+miVi71r1lliMEzF1Q9KLSrSKcVw7iiDIdvzV/ObcWLvs59Euz0xDb2wRI5oTDO/v3qjgrt1i+F7y3Bae6uLm1Ig1GY3K+vUVJt85MVkDVAUaFewImGelQmtP6oeQ32tUxFXJe5b/PdCwW7sdxuVr71/xoBWfx3dn/EIqBdgutsgheordMJa2FP+Ytxr3BvYkcRXojUxMjhiGHr9fXv76raL3yH99euys/do5aeiJsybrNBAYBxo0KLo2B7RkJbN9vfHuyLrSX2/Vmia1ZmezG02gE6+xpBK85po7343rjbVy3B/dRn05GEcqxAX4GJlN7mMbp/ntazqYZsExWxwhqkjYOsGVgzdOjapApLNfEJBviaBCWw77fNJx8mf/ZNZwC2br2IpRv6iu0eeO+AqqALBWNcURXImTYDtQYWhDL3+LDw0K7JFMbVBTLwAsloPdWcEEbXV+tB3p6tF+xgS6Mhub6nu72QF3r35/DunGxFihibaODGiJJNVG03T7/1kk+eXwUVa6eZBRyfH94v6fPGxN5kp47OlplPF7qPl7YW95YE+30RoHuBLLR+8lZU3JKsJvIS+buumin+nn4kiTBZ2bWMoFaEXFtSBWwJdmMn7AIs7RWaqvWKvzyfagpUbPYzungvG8cqXkk1RhAEaxFxMaB0Ka1IrV2gSvmZlP18jOxT3e81ZuPln9EYMi/GGbTC2sVFjq6VEoy9LrTyAojsBmPG2c8sOSGv0bxfpQWS6Fis8aJT0x0BNlaXMRsgICJfgbhHSgRQ7BglhetXe1crt3PP92dVwDVFnPm0l0OVrW9P1goktiwEgP7Q02yX2JOabGiydgFarEj5gmGBZj3EL9etaJYr4nnmeI7pRQF772vLnsgKufNCMkjHB4u92KGvbT+KHmducWwZ2N+K4kUxEBhoaN1W+GTxo1Jsy33iB0/ajV4Om6cWJ3H92MPazR9/TvsXzxKFnjLqU7+pay8VzrCB2vk/MZkbv14QloLruxNWcO8c+owsEesSUR15NkQ4Tmhsx4ptrnVnxfHXC0LukQ/RCsCGmi5Gsc0CEUUIFUgVmumZevvzgvlVQqnSmDpqTIW6ks2WQkUI1YlFZC0Y0lpGsA/3as+kt8KACLQA4QAs1tpItWC1PmnSx0vmpKDWj6KbmYjmEVSvV85rrhOLm5p+DIXKVJjklkHZOnmsSA8R3cWu06zqfP6FogjzyjYFe0/tgBoUmNzKkGJVosCMjb1CYSpaJamYfZIBTJznaJZM3oftaC0U1IIozIOie5/7WRcYSzZ9nNWE126A/nbBEnpIiaRvB69f8kCPCzB+syJkxXI7QI/bvG75QfWz2MKaAOhQcby/otaAKRsQk4zNUm2tTv++klyAFfmFCVQ7OA2FrceB3ovtZxXRLs4pKcHFpDwxLC97//YJ1P7QVoBqkWIwf2JTeE3eGyOt/7JUQXowmwDb/GsP6KjmLeUTjxMrXgX9x2TWKsBGt7S+Uke4PNkohrrITk3Z6Erxsr5EuIX9ua1vNwo0dJAhIcyZaIkqoHbAx0BhERET/qEaJ3sFI9xj8QVN1BNkQyBlWamu/OqWQee8ALUSNTTREnE1z2mmOufQ83vWzyhdAgJFZ1pfXheg1e53qY3O0BCm1psCQGjOvT1LLrbF1A7zwRNdbli14+YgRVAnL0IAUKA7S7OVcjXPMBeEazZlalKbivkRuzr39DpsvQh3itpXhNsVKVX0A+mPa7Iq/X7eeX+cj7X3lbq3ryMqOxRH1tKeg4bQ0MA2lwBSkQFaiKzZrKA6SLUedAsQaAheMH6trJZ23pcdEBcGu9oUqSPcSoKTk2OPCsTsAaj1l3lxZ92q1OlC2mlcPdlggcaVfVuiJUIGwWKqsWveEpdovVeTzf1qc9FR0Vq5Z4SwqSXPMxPZEJudAC/W3lMF0g2cpzsbFd6jJ2cZLSIPQqTM0NpPA0td2dsrIQDjyGv2RNbWjq7ZimLsbcQsCN3K6x4iNCn6CLD3LNih6AensQU6VlMpviQtyZ1f2aEUN3V3r6DmEwNrVyWnHReRBldpb+iydi0hI2rGwM0DmEbpSoowFFQVlCgoQyIivisqhK8+AqHnGPs+0vYXWI945Dwd+xYwsife5nQwRLIYwmVzxX3DxZB2p+qlJ0NyDh3F6IzqqUvAMEgT3UiDYL3hplHngH9VvwdJlQI7Lihl1ymraSVczEfdigCtIu5KymX7/7jQhoTjbxoIlpwTmeMp7MwMWSpF4xaqq3r/K4CGQklRyNPEPdyC9bDkbb3kDCARbW1igtjtI0z0VAT17mh7j24iPd6fO5KVoOWwibTN7DlHl1g06yNqH2nrtWagVCQAGgLq0dFhbVRcevsCcSpWhBzMAgWmEIuNngcPJhk8AmjJ7XoyUSXzcG0vMbZVEHSPiv5sFNeVTIDaBWDoOF7LCqQeZUyofUA+BuuLNbTLzvPaKcpNATpSOGNUrKcOenOExAJ8sHmeK0SqUSWZwHrB2BMMscS2DIzcKKyj6J5oB5RvB+QxQvpAWzxl0TtNrsGwQ/F9fa0VtQ8UVxxDK9x0z0Cd7R4ikEAFcA3A8pSwROByuyL1GXlO0CkClRZBosD6HLEKA/s4b0gMKtA/SAtOWx/qtfJan7k/1z6YQipawJ0ujMHKqUPpAuJSqYBsYk9kgDlrp0MdqK7c7OL8nCt2zu3rDA10ECD52jQEdhyALqGOw8ZmWniW0g4KDQBBQGNFOVVfLjNkzaj3J+RXI9eg9enqoUNNJmw5BGhiPAfYXFZSjdcTx6//yD709VYZK1plq1F+vUAWxFTfGVfoiWpWa894U95HJFfgjwztnA6db3uEITUgpHYBXng7fxFRewvqDQXsHwLKqFjfrQhjaUJZAAsw1fdcW4PxIkDt0T1uMdP0ijaO/VPF8FAQcqLd1KK4fH9ATYKH3w+Y3xSEOaD8y1tAAJecmN4ppnfbB8sitKJJwvsfKh5/HDG9O9jZZ+j3PXs34yyQlQng+WlEzQHynBBmwXoneBKCRh9+ecdzqyfrhwV8wfJxwPr1AShotnW4zYh9QX7qIOeIvVXj4QITGNviIrcadVDr/EPg/KNga4hn7t1PuP8vN0DteY9xlla0+1ZfqNqfCgRVskCzYPyGBVfGfWbblgUSFeuNYj0BcQk43QzIp46+zIm91HEie3R8qK1Q3GyoOku1hGu8/4iWBEoGhbIOfB8qLwuefxiwnrbC4Pqm4Hc+/4DHacD5pwO6RzQgsnYgGBIU632lZ68lpxoVy4eR8+lzqtGLgVDpLOg+sHjy+Lt9S6jH97QRTNeK+T7g6bcC6sC+YO1sz6iM/6/nARIU8ZYL7fXdBW+PZ3y8u8X0KgFdxF/l9TcjPOV2BkJ+vhSraAOQIb1Mcl1sSYFG310LN0a3YakVMq08iLsEKIMDdfVORy1sM2gJlpB6UTo3g66sbhyMtnOWzS8UYFJdWdkPCytR+UDlzu4xYPhgiO2ybWbAFhTtq/TerwMA7vkqmZVnmVcTo3JfPHpYqvdXOiUKQKqKcFkacgWAQjApoNlSrJl0whiB2+O20Dxxskp6q7Zno9n2HerNSNrXvLRETc1DUAdLth6eSN/0CrR9HsYBOPYQZcCqwSiBJTT6OQJIhRX2B/hm7TYj44eKuGx2PRqsOmbBULMfKoCOQDkRHYKS/lELn5N7lhGphQWPBWFaUOMAWKJbrL/YrUF84ZZRUU8F0lWMxwV9KgihMldylHlf/VcrSfvX3FvYUXhPeI3a3dBx+56o0R8/VSLe08WNXq61A4IFEAFQs8cKa4U80/tSzEdVQ4dQ6OnaDRsSzh5ljhE3c6uATfzcfODXWz/Ijg6TZrd80UYRdyuwfZ85aemW5Ja6WdH0XRsnp9BvC8WSppwpFpUSsFPz1lIZjNbv2MAkQPoOehhYELhMaF64NVgZkJVHhAi3TmkFn5zbtbd/A0xwndL5iTgVdnYXDQGbCxBtrlRF9CBWBHkGoNLGt4C3EiyoIQ0QXB8nCoY1BNcObKmWJLN2w2JDAfdLo1bKTEsmqcr5YKhyQ/tt/Ts6AwGDhajQvjCx6QBvZfBX+fAR8f4tZKSQlaNQDaVxBCZshS7OBUAsAK5jR4G6zACUqosM+KUK93efErVyv6v+3p15T2ZoDkjnyGp/DVTgVbNEWoAy96Aw/Eaz9ft2yhWDDGzME5/vltx6/2RLdGfuYcuxgya0Hr6oFeJJPDieYa0s8pSysQ12ns3aRUheWTDsEtCnds9wJLxU2nXsC5O79SKlstCSIsoNLeHi8wzMmc/OzhSilQIZrDixZtKbo6FDCXbe2LPOBYAVTE0cSzW1s1hTcPmFZs2SbjvaqA3GrBG8QHGh3FuzqdCqIQz5RAS3doo6MMiWTFSwjFwX6WLF7R2LRIO1bKwFoVQi9D339NKbCIsVLmDrrPaKcMyIXUEIihgrynhgsV2XF+Ma7ICsHQsADdWz88SRXRe5qp1s63DJAAbrnSS1NZgIW1gKk/HBrPBMmMgLKCWxjaAVpEDKts4sbqFH26s1AOkcUZNiRYf1ECDPEf2Txz52Pzm0vcVprK6km85M5LzgLEoBuDhT0EtyRTj2CNnhej6DYL6+dUjAYM/nQsq8LCvjiqcn6DQjvH4FeXWLxkwCNqS1MXcETfcDn8RyQEucdewY8/WpCTIFV0sOYNyWAnSIm0BkrpBp5np5ema80yXgbmQMtphYocDWi7UwWQEctqbd4seFh/pnzunlFVBHRfGisPWrtrhQzMXjQBXbbuSkzCkyMXt02HZLir3PNR8jMEbuPUab9/ddXgHrjWL8WjBeFWFxD1dBOmbc3V4wLR3WJVlBKkN2wlM1ch7FBSZQRETT6aqHbyr69xMkD4grLZ+m1wHrUTB9f8Xh7RXrv73FzU85NuuJhZjpewU6FshzQrr4/AYwgPYMQ8HyvYrlc0H6kGhRE4ByU6FjQV3YM44I1HMHKYJ4YWEyH4hKqgDd+2SFq2DnOmO4cI60wDOnlBIU3WHFzXHC++mO+3y2ZHVSnH5dEK+1ubCsx4D5XhqiqRVYviiQuwX62KN7HzB8FNz8bEGcMh5/fMD8SqwAtzGwsD1WeP689ZxaW8cKHH9dcfgmYz1FXN+E1ouLanvjqFgeIsqxa0rxNdJeaPhYMTxUjF9N0Biw3HWN4VWjAr4PLmZHldEEXqeOcy3Oips/u6B2AefvnVB7pUvBQdG/nvB7d1/j5+kef7a+RXdWa4cDwkHaPuPqzN7aKUUQnyJF8l6vLKQ/dgiTIDwKho9Ur75+xgV+83PF8FSQngvSOSMfDlhecb3osSB0BfXcIVwCC+pThHYVp/sJh37FZ6dnvBuf8W9OGetNt7VR/Dtef/0kt9ZWQdcUiQzW2lAGydUCHTv8rQ9VBQzKFAxGDSUoY9oqhI1iVRkY26YINeKMF+/r1v/SnQOiBfSyO3gBQfe8Vc98UsQp8GF5+0jlwdM/AsNHu2aPi+16Qt7R73bxu1cjm9+pJQa879ASXARbBFrpogzAaXrxum5UNb9/LyJE0lhlF6iH5yvCnFpPaOvrAlp/l6CHJCpgy7zyMAmBZbkuMRjzBBkJchgb2iaXiZ/Vd0Rv4AegFTHWapRxbUi8U7a9lySsgu7M92dwAqNZbIdhq3YrUAc1Ox9tX+PPEXF0Kgdso4hXIiqaTFFahMrQO7snp9CElT2nCIJyDdAsuMqAyVW2AQyPgvg4A+fL7uEqPSe7QKRkTxO0JFX3AlKeGIlwXBCpjroQBdSm/lu3BGr3Xk1JGGBVMG/PaP8KWaELe8TrkyHh7uHoSa4JUqCiGXOHLC35clEA9+5tfUAutuKVwrBVy1uBxxP6TxJZR+2+5dhtgk6qio0D6WskNgTRx7LNdbMS4vyreKH6Cz5PjtUnY1Rqo4OiMwS4VqMoK6CVyfYuOWnPUKT1pVI9mmgZRakCpKPllVduWQwQBDFxCENFeM1o/XblwGdSRgb9GpV7WxGKJFkyFlbbo2ZFXHftBz5msgXJslaECgQr/IVs6oZx5106BWQkYOGe52IPezpsuDlxfpt9U+sRrT4RA/YtIy+en4+bM3LUWhlELLkiG0GWDFcdhlDDAEBTVnYhuX1RwHt80xkYDbHOBw8w9xkutmqwtinTej4btdxi7raHGHoIv81MZk6calPA96JDWHf7cwobU8HmsI+JU21dqdr9P535ANWX1ljfQadvAlSlsrhh/W5bUaZaImpJ757N0yUmBqakH3LdRLG8B9iLQNZP3CjX4qrmsvUEq9MsjZkA0G8+bwU1Vvj5XCpzFSK4pwrtK+RQqA8wUfk3zNKSqriYt/nkNmV25qbQrAmDCWb1z0w614M0ezpHAGome6cosAIYl20826uALQBt7PknLNu+4v3ktAWipY4UkGGTC8JaEOZkTBe1vTbQGsTo1hRPtDW5eruCKUjv9webj1KAMDAhaPR85XOIC1FlFwVyEbnW01u3vdx9Nf29nY7L/kFtLDPY2pRSmQQEvGAw+XoEgNpH5LvRWskGxnZBgI4F8Bfq3iJba4n5OgNobSWujiwzx1G7iHrknBNP8gStJ1jjLiEVbWwQ3wMFgYV6gE4IHeMVP6906FtRMCwFSbYEtaH3VtxOk6J/kFYsAPzcDKQtA9b/uI05tQWIUmpXkbqCnAN96FcG7RDOpc0+sHLOJIF2ACS08ZeqiCtjVi/q+75IhWZFniOewoiyRtQ1op+xAUb2atZoth+6mnnp+ZzOX3SY76nuv9x6PAbGqHPA9DywU+YoLxIzjURXw9RheM+xcnp4egyoU9f6X93yBQKkp4B6FQzfBPSPwPQWmL6XIasQaV65p4RCFpSrD/O4F8jMswsA1tvaWtriIlieezyUgPCY0D9wzNcTjAkUEZfYYnl6zkorxEGA7kOAPo52VjBO/fC3e0jtMb/hedM9C/oHReuzBtmJcQYuHYWtxJJgxppkC5VecPksIWTg+A09keNKj/D5tWC1OCsf+SyIsgLLHc/FPApKf+C+Zs8wXdRyF0WaYD3PvMHuGZuYk+VA02cj856VfcBlALQvKDnij77+AZ6vA+dIv+l4iAL9V+xFLm5Naa96qJBjRoiKYVihKpgfOsY+AuoiDWQ2SGURKE0B8/cjSt+bPo/tt3Ng4SNz7+NDEqBGnD8ecIkDpjXh+TignFObh3+V118/yV0zxINVE7IIa0HwpCsX67UtTUygDjywFCBSYhVljQnrDS8p5IoQAiumy2q9dltiwF5TQxrVhAhWol0tYRJAakLpI8Ki6B9t7EY7QDzgEe+PEOoJCSsvxy8XlCFiubW+EwvmSR2pDeVCgPlIEk2M54XjMi/chI+j0cVsYy9bABRd9n7JDQmQ7Ki2Uea8anociQYUJlmaM/D1B+5gw8Ag3tSW1cWR7H3UgvPwPBnNmTS3OjLJVacPpoAaj6yQfnyCXq6Q0xF6OmxiS5W2CI7We99vML887VPzhZMKpKwIz6wkX98F0jx0O3y9FOb/zgeg3PppsvtZS9LizA3GE7n+gdXzOiTUm8j5d2UUFueyFU8iD7Du0YKhRLpSuQZLMjgfj18q5Kv3wOVxm+eqkGHYqLX7ZKoqkFcmP10HHToGENPc0F4BSDF/PhPpdMrjtGyosEhbLwBasUOW1WjMETps/UkArA+Sh3dcQrM2cDTcEZF93weDI0tyLYFwq6C9UG1YfZ7rVq00epoH5C4yRUrxywQRqqQZ7goCmovB8bIluZ7Q9j3Hb13t9wRqvYVMBmLbcyhAtUNdfR56sqsVqrJRxC3glzVDJ/t97w++TtyLWn+kPTMRNLh7dFErMjM0BqBPkGSBU2Ggm2ZFzdwratz6ER09rB2tA8pAMRA9mPdlqqZ+aOySzAOyu9COJBRFMPG3veiUz6NwzUwGokCSHd5CiCHZLaSniLKG1oMdJ33xHgCAV3fAAui6bqJUwRL7KuzB24vffUK/bwmwzTe5MsMIiQe3zCvkukC6hHro2NJw6jYLEtWGInp/8F6ZMU0KfDTqm7U57Hvwt4IkgGAewcn64Gb91s/4s4mTiSDafTQblOcVYhYwdUyAt5+ooh461C4i5NDuX4eurV0xYS49Dkwgny5NXA1VOb62Z3+rUCCy6+1WoJClAmM01UPHpHcleh7893atATpQqLDcDKzmPy+I53UL+p3pALSWI/ex5prqNgYVuJekqQIIKDNQiyBZosBnZ4mXCx31huzeF8S7FcO44O44YVo6PHw8knIrwZB3IJ0L4lrbNTZbrD5CZGDh1Cji8UpWhn5vaMixM1KwBDokGFqUrjDEeccoK4VZ8I4wQuXSHbprdn9hrWbVsVLc6/kKWVaEaUB3iUT6rSd3vR9R+4A4FcQpo3SmdqoMxFWtH3JmchMXFpDSlft+d9uZFZLR9H3Oqza/6K0HmewnF/GiwBv37TLIRqe0OKe70CorXcmUkMq1RsuQ3M7QfGLhYV8UUAGVYU+7AavAmALCU4/ad9D+u8NJWcvmB10q9+LbEbWLSM8LwsMz9O6E5e3IvcYKumEurbffhT1JTUZre9AgpC0GBXKCxC1u0hhZ/AFQj5T1llwR14KwJlo2Ct+7xoD1jt7I3TPHqfS0bYFaorbT0aoDkTAW2cUSFHp3h0PG0GXU2kEuEWE26rkQYesfudekMwUq5zcdrQV7IKwWz64sko/vgfK0xbMawSJ2BOScsJr3d8hMiMNlgU7bhXr/JAfEYt/o7hVsmdEUWYi6KQjXgMNXds/PASVThGy5ZaxAi0YAfUU/ZuAsuP1pRT4wWRMFxq9YPXRxUZiGS83A+Gt+7+1/t+Dwpx/x4T9+h1+/CYiT4PA17XDSzELQ9Mo5s4J8w3XSfeTPzm8r6rsVeokYv0yAAvV9B+0Sxi8Dxm8U6y1FsxRkSIgLae6KFxrRXAdOP2fCOt9T8CkfFZe/lSG9I2aA/oz2O1KNilyA068K+oeM5W5EPVQUDchHeuQe3nO9nb8XcX4TcPyV4v6Pn4CiOLw9II8RT7/d4foZz+T5nvaZ5agox4rJxOfSRTC9i41FEDIwvq/orgXdY0H3YcL0/SN+/fc69h+LoLtoa08oo+D5h8n2Gp7982sgHDLKFPHNN68RFkFfrbhwItDUPwhu/4S058ffF2iqbV/o7mf8D37wKwDANXc4rz1+8YsTkjFm5zdEqde3GSiC9ZuEOAPPvy24/tbKPaaQSZueeG9lUGjPgqGYEnT6ht87v+1wvh0RHxJkD2D9O17/fye5xWh91/URJQzchNcVZZ4RSkVYL6SOqAWNleimokOectu0ACAuK8K8oKYeky3QuqxMVpYVWFcAHWpnpUkXZUjSklwXZqrZqol2ns0pYekoTOMqkXkxZdFdFU6jBz0M0JbninhZUErAGuJWUQeQJx6GRFsqaRiFiVKZF1KBc+bGHgN0WZjkhohaI4PVdUsUoEo11+o0biImasoMspIOqssMjaRqSj4zYSizCTEsEOlY/UjRjOS7LegMXuVbLVBKQA2oMVECHkBT0c0K5IqwPELLlcWJnKEaocHoQ3aP24Tg6atRoEioJWC5dFhTBFWOlX6AY0BZsAmNAG2yOgKQ+8r5ZdLzkgUwKouerdq3cgPViyJNE8JaUDVBk9GW5wK3JlERVGXiPV8S1ihYiyALN4HauVohD6v1CZjmByz53G7vWp5RcgBCtx3WAJOqqixC1AqRDhpY3UdmgK+JDZqyXqHlDOQBsCKHZEPuHdERsfIy35PJdAIqe69VqPZbxRRprY+sZoqPaASKIXdOoVdgC3ZsrGsS1MBNn/YY2/rwV1gY3MV1C4rCsm6UXjDYQF63uSwC5ARFhOTM7wFb73JeQYiTSa5oAOLO09b7aqu5fde4JZxWSCLyVKGlQTQvJ5J/rQQITEFZkiWPBZpZWNCytrXGfduSWoCosj+LEKBrx/VUKyRnaOEepZVzq9TAvUJYaCiGpmw95jyYarLCfq/ItUInJrkhKhPQJ+tLehTgWYGLAhcyJeLKfSMtM7AuhtwZIqcRWgQlsOdsDYHXlAWrkkadoyHHq6AWYHkCpvURed3N8/xMsD2vkLxAl3krHIigihmj6nbItP64thUkFEmIc0Zanvlo5wVaAsKyQpYZqAk19uxlC6Tet/dzjYYoKBpQgzD5T1vSW3tBrgHVklxPsPzRK2wvMRVpp6216SK7n78o6rVwrls/pRoamOYFYVqhlfckpSIaEltjj6qR+806+c3bXHbGQ4JqZJK7XqzIYwUiRCAwwuI5uY3zt9gRAFC4FlS5Z8tSOJYibR5wX1LeYAxQROR5ZoFvXtg6sxNl284YwtziAm/SocxLYwUBQO4SsnKeL8aIKt2u8u7ImBUY6gDUpMh9geYVYcjIlytyTsgPK3QKkI8JehUsz4r5ulLEaV55vldjLuXCMynCWmO22GE5D1i6gBWC3FN4quRMlHYNkCVgeQyYlifkeWPmXOdHJGTSJSvP5b3wZS30g/ZCSFiB7roAWRGWCyQX1LkiTwNktWsWwTLM1P+YWAheU4/lakH4levYmTKNAl2BcmFBcw2JKuGW5IaiqDOTqeptNAnmzwqsJlbVrMdWO2tnwWqFYTzbWXlVlEtFmSt0XrZ5wLqFTduIHBMkA3WZgFyRpwU5Ruz9W32dYp0Q1hkaEnS1vXN/FgAIywJZp7a/AxF5VlRJSMuEsD5Dl4JpKhxrY1zEuSDkgloCqtrzWTc2zx7lDcVYIzvmkOoWQzXBN6dEa0At/J63jS0pmp8t53TuBGu1vtkVLIjYvlEHRbaisF4Zp+SqqBPPynW9Yp075Pcr9V6u7EGNT4p0yQhZka8FiILp2lFgyeIkVFenF+QYUKxnGQKsVbB0gHaKnCu0U8jCRGF9FEzLI7LtuQAwP35EMgXuUICyct7lvEuYk6IURdGKcA0IpgxcRJkwrYJqKr1xYvEqv1+Q1xl4KFieC3IJWNJuLlZAZ4Uu26msifMVCixPC8L5G6xPCfkjoJNgfQT0qqgL1+EaIpYkqDOQU2HI8DGgToIcKzQwyV0f2AteVrZErA8B8VGxqGA1NmCdrZfUbWxsvWgEPIxYHxXhsSIjYImCmhX5uCL2xfZoAI8Dlmc+i2LvOT9n6DljeRyRP2bUa4A8BtQZSOeKcqlYniOWQZDOiun6ACkF+XlGyRHLY4elF+iZrMRVBetHoMy7uXwNqM/8vLiwmBfOFfVcoU8Z9TxhPi9Ynjpor1ieBfWqKFlQFj77euU+4uurfATKzYwyBYTnBF0F6zPnYSlMcvFIvYR1FeQPFXUqkByMCTMhDx85drnHsvTIH3osD8FDVtRFkeMKFMHy3CFceG35aeF7rETm9RIQKpPc6kmu65dcOL+zFmAuiO87LM9ANZZp2cWj3/US/Zbk6He/5nnGPG8Von/2z/4Z/ov/4r/4q/zqb16/ef3m9ZvXb16/ef3m9ZvXb16/ef3m9ZvXb16/ef2NvP7pP/2n+Pt//+//hd//KyO5/+Sf/BP843/8j7/19f/x//J/CzmODbEgPU+QjSrjzfneD0LKQ0VwilhRpKcV6XEi2jmwWl07IlVxWiGTWQVNM7Tvcf2de+RD3Br+D2wih1q/SUbrxyyDkLIWPulfUdIG84nVOHG/RKNahcKqT/8guP9JRljVPAIF/UNG98yqbhMH6qMhpkROSZldoX3C/NkBpQ/mSSZYb8Drla3vxhXLSg/ooKyCDKzkpEuArDA6ttHrZtJMD19VdOeKdF6pfChoFVQXoApTprqgv2JAHTpWJq3qFp4uwPsPQD8Ab1+9oCRqjEASVrFnQ+1MRTe/OmB5ZYhML42SnA8mnuPV9YPx+TvWVPovE4b37NUd35OC1j+sph5ttgZN1IV0vSa6VUgf1XFgT5or5655E3sCNlTQRIZUFXI4ULyo76CnkSIrP/8V6vmKeH+Ln+R/jj95+mffmuf/4H/0D5E/v8d6E5FHqrzSmB2sElupKF3odxYXxfCQSXWbKJyyUXxduMQodI1u5pV1oovlSLrhetMhHzdEhXNZGvNgL7pDkS9bg+OO2jYQtS4Hm1NnyrJ3z0D/TK8y9mrZdc+k24WrIf9ewf+kD0KHSJp4F8wmQJryaTUqUOnoU+f2HgjsRy3Hl29GUSIi9+7bO3wgXe/084z+aSWtzgSOsGazqrBn7L3SwIaG2ffU7IskUVF4j06y53bXH2y0cFJG+XyoKksF6zxu91mT4PK5YHlD5Vi9pxKgrgEogu59QmciDKdfFqSpoP/mSmG9vN2HzgteDsbLvjhKt+/QPRHrEU9kEcxTW5N8Trva5Xd87SfzH+FP5j/Cp6//yd//30BujqiJCrbrie0F0xtp1Cf3BuzO7AUav85sL7E9l8hmAYqxR1Q3Gq2LWXUU2WCfF3+vjhGl5zxabp1dYtSwxRR3E71aa2DPlAvWeQ9RHRVN3EWIeKgouqeA9CzonxQ3PyuIcyFFdC1kKcx5uzbXjUibOKArLLsvN9cX9/M8Bqw3L2mAvDYKyzgdzq1b6lCBqAjXiHjhPD98TYHD/pkq1YevrohfP0JTgg49BaI+PpHKHyPFovwVA+e0iNHwjRI69Nve6c/AWSjeXtAZM+Q0krY5UL2YlXRF7QMun3dYj6YGfsN7Kodqz5oqod2j7SVPisNXGWku6N5fub8OJkQ22znkYnX7/vJSNyG6wwAXz9paDXgetfYD160o7K9vTI/dfNcl4yfP/w3+ZPrDb83z//R//o9Q3p2QR7cRoajO9UcZSIr4kGiNYpaCoQDxyr/7x00BOvicSPze4csJ8bKa0r3HMvSxvr5LyIM0wbPSk0ZYTZxLI3vp4qzII5XXoRSeUwGWN4p8KohTQLwK8lERv3dBTJV9mTVAvx4wfB0QZ1IvGW+pPUtB6ajYPn7DeIAKzzy7NVl/36WgpoDpDZV9vQfQBfLyCMyfF2hfqWIdFDgn0ltHRXg3IcRKMaQcaGm0BsRzwOFLUjx9J+qfFelirLhMbY7lhoykw1cFw4eZftRm3xSW+kKbwgXC2rap2s7b+fWI+Q1b1cZvqEWSjxSkXE+klDal8OjuDkA5KeOVU8b96wuqCi7ngb3ejwnpEpCeBIev2E5y9ydnhPPSzorW194l1FMPBRCfZ8avxwPKsdv25N2rDhGlC6agzzXr9xbPC+TC9iftqaaPmd6/5fUJ//br/zd++tP/57fe8x/8D//X+PV/+RnOP14ZZwRj4OxExgAAQ0UaMsPBwl7i4ec9uicYc25Touec5PusN6R014jGmLn5BZW7P/5+wvV7tRGtnNoNBdZ7ig1hDQhzQB0qbr94RhDF87+9x/BNwOW3Mr7/O99grRGPzyNKjiiXZLaHVEGmlgiFYw9fs51iPTL+XG8F0zsFgpp4KbjfLlT5Pf08Y7mP+OrvA/pqQTeuGPqCy3lAeeyATnF8c+U289/f4fhrxePvKT7/D75CrQHXtUMMFb/76j0+G57x/33/ffz66zvUNVLdeQk4/lKQLmpe3sacc6Xp10Se03NAnOh/e/fThWyWaUVNET//z09Y/+CK+s2A4y/D9rwE2/l3X6GvVnR/3uN3/m9PCFPGl//T17h8z0THZiK/aSab8vnHFfU2Iw0Z/ZixLgHrtUdIBT/64gNu+gV//LMvIL8eeJ7erNAlovuaLDP/fO1oKxQKxzUswM3Pqdadx0BRPkU7N11l35k4bLfg+bi8ombD+IuE45cWJyuQR8H5t7keh68iho9AvCr6Z0VZrvj//F//d/j93//9b837/euvnOT+o3/0j/AP/+E/bP9+fHzEb/3WbyGMI/TmAO2BepAmTe1G7N5zObwXdF9bMK12QJgIQ6g9JA4MkkyeXp69504A6aCHEeXda2gM6GJErII8sHFbRkEYTSTCFnEFWhLgrbyNaWNJSTkA+qqS3LXr/RRwMcaVPbpyKgiLopucvsm9AhGAKZSWY9poM1lRbwKWH3BjjkVN4yKadUeA3PBSOmdz2sG3BiCPCgmAOGw/8h66J0HnYHoEgipSXxGqItYOEbklh5wlJtaQEnsKA1oSED71tT0lSBy4iQ79S2Vh9z5MgAwHfs0OmnDqEQfSsbpVUUXoGZyEKpwHhfQKuaGRM0zNOsWI1AFxUMhJIR2psCEWpIcJcp35maED4PRuKjmjKCSOqIcjXvQzdyamsQvkVIye55Y0IUJqABYAyt/T7gjcDkA34A+O/xl+7/T3AFXkuuD/8dX/kbf76hb1zQnlhv0h6ys0ZT/FRn+RJwa6uCrp57Mi5QUh5+brTCrhsI2vYgvMTLhLQwAOHWoXEPsIMdVcpweKUaqUbW0bHTYCaoEbbgAdlV5rIyd3sLkvNSB0QKhCVVkB+qlCIhAOFSFVhJARxATG9gEpAFf61hygEoEiKJKgWZAlkirbCYoISgAVuXVjrAXVJuLR/P+iAgmIWZBWQaxAJ4oYgNRnxDEh1gypVgyxvFAPpGM1oStXBAYgwZ67q9/uE+Fc2v5EmfzQxFNU2MNdzXICKSAECwT7gJCAOgZoLwgHgYwKOSjkyOxKESEQdBLRA+ih6LEioaCrKwAv5CgtuIK1YjS7HmViKxQ601JJUa66/QwSpAaoCtSqZdL1/L4nO6WgWguIRN6bdAm/f/uf4sen/xioBVkX/FcP/2e+5f0J9fUJ2ex6lnt67tYbbT3wqkC4mMDZWRGuBXFWdE+riQxG6BgQlowwzxx7idsGLAKViKDsyS0nFkm0E2gvQC+Qo2zJKgCwm8NE1Ph1CVw3cQTErDvqq7rZRChosZIFnQg6BbqgCMeKECsCCue5rghqxRxr7VCJtt8A6lzHyGuvpiAbNECLIBVhP3wH+kpyKm3XXvz/WeCpxtiPGYhVkAowLhVxBVKpCKIIh4DwOrUCExVwwV51T/QGK/TtA2bTwqCgFHsVpZrCUXqZECAEKtmGABw76zMPQBcaPRKdIIzcq2sSwAXT7miRIpdg9mNsI0mTog8rYihIHSAoUBUgg+JAKVqSC85v74MvzqMDdKpMWruhrVeqxSsb+1R5bwJo9Ylh9yQBknhPWhf8/uk/wY9v/hMWZOuC/+rr/xO3r89P0JsDpAPKnWB5zSJVfGsxRB0g0f3DGcANZ0sak3LITZglzRXDNyv3nzQCdyO0j0AfSEnuTfH8ZHvuylsVq7WpcM9DBdDzfUMPRBeO6sCz+64inAr0KCirAENFPI0QUZTrCJkiUhDgHsBV4MpbIdh1q6Jf+F717UDLo8x4TLOwKFUV6IEQBWMWVAjWTlAMxFDKfCBcgLrSVkRThYyc8KFT1NqhQvmIApXR48I9U18JsADDI8V6uqUimb5JWNh/G4eIqoIuFsRDRI0BOlA9Oqr35PIgEQX30BianktUFvwVPbQmSAT09UAB/iGwAyYAnXCtRgAVQtZ/ANXOk6LGgsXp+l0PQUCShKSMC+NIscryeQdMBem8Uq/hkFBGUmhjsXj2kID+SJ/e0fZqK+6xIKiomhAlMrbrq9GiI3uxTxVYqwm0ZRaDezv3Uoff++F/jr/1vX8AKRW5zPh//bf/BwDA9W+/RRxGDNOA9U3G6+89wn1nc4l4/OYEuUToMeNwr+176yrIS486hlbXDqbQrAE437Nw7uALrMakBbiOjEfKO4WYOJRkO2c9Fu8VCoUeK+RNQd8B/U0HEUX4MTB9P2A4CuZ0CwA4vhaUGnDpeorWDQKMAq1AuRXoLMDCgoucBHIQDBkYf8He6ukdY7X+IugnxTgrDpMCrwbgi4y378zyAAnxCOQ3BesaMT28hqwB6T5gGQR4lXGWV4hdxc1pRQzApbvHz/QWU7yDHA6IU4/bXwb2zhY1xWlhZ9sI1Dtux4crIM9oeh1xVCw/HKCBWhK1F+BOgalDJwG4c7tHnsP9xN/TC1C/Io358T8a+fs/EOBWEUSQMlCPwPWOz/ZwFuAMrH/3gr/3u3+Knz69xp//4hZxKPg733/CF8Mj/vhnv4e7LzvMb4HpfkWIAeNML9ynHxekz64ovz7g9LPIFgkDF7uokBtFTHzWtRPMtwSE4qJIdq8uhjYU/kwcgQxF6gX1DQt0d382I58i8vc6LAdF7ARy4B6ZD4pqCXds8dB3v/7KSe4wDBiG4VtfV3G0yPzFbs0q4FTYF2OvPHeoH9CavtshKjw8ZYhUCL0yUJXLxAN96CmcdOyx3vVskcsUxIEhKd52QXl4BtMeDPnXN5EjtL5EeuKy0qSw761hZy3Bv2ti9THO9Ilzr1oNXulnpbFGAWYg1Ip8iJjesGF6fE8kOBRFrRa8JSXnXNF8xCQDMm7ndTNo93vIZjVgqDTVAYWIgamRoiqC9aWoiqlQC8QTp0+S2/YchwjE0cbF0MUdIqzmN1vdnsiuiwIdrPTFhc09rujXzOUjKCtv4yvr5scHAO5lrJ5M50KLpJ5CAmL2NFoqAxpDpJrdVLZ+tiKs+BdLqM0GqckFAlBH9VA4vwAgJaJiMUBUENK4XZi9ymAKd1ZhX29YxNGBSBGNyM0/L/P/aydNsVUKRWJkMdEiR14+FZwx1HBvLwWbmy4Y5X1i7e9gRRd/lhZg147MhNrTt47BgU12SyDcLgPQhpoRoTbf10qvT62VQZiYAJs9PKkVMnMtRKGYVxTzaRwEljEgeguY2ucuspvcvI7acy7HRZq/na/BbR7Kprjs3sVug1OtoCG6zd0mrGM/Z5V/7z/nHzuhd32/omotlcF8h0GWhitx2vv4WL9YFPZ5YgrHDGp1s7Fyz91abS76L4WG0Gk1pCpu16TWBy6W/Lq4FipRaopIRUhKWx9UzlAXiIMnugEhdQi1M//gbU+oieqw69GS3DtD7kaFBm1KuqXAFJrF1i37OWVegaHbVJuLKRN7sCjco5pNjHJt1V5Q+mCIgK2DHWOBGgq6G3+/oW34WOApaH4ORYCJiqhtjy27941Us0YKRN53L5/zLCB54cTEoJTXEtZK7QMJUKko1cR+wDOpYjvvADS9B0m8vrBIE4ZJ04YMUhCIBRbemLa5LI5iZqop68F1Krg+XZvihZKwM3Lcy9ueDZlTZkXWBdS4nadua+f7DD8DrRjM/VxtTe0Gzir3zW7MEvS9y0BTOK+VyG0TP0u8r3mGSqB/8wsbN22/25SkW5+njZMVIryPP4TEnb8qMxh7rUeBDLzPMhoa0ld0PR9YjmrrHU3cLJqoU+v/tiJGugDpwxVSK/KrAxE5S068t7Y6oh+2OdvsrKrdm8AQ1RdLsiGomhRI3PM0CaSrEGFMEa6Rgi++VrIVJUwAj2wIIJiVUBm4iLpSgcKYRQqRVKpKu40cml2KK2dLAdL/j7c/W7IlybIDsbVV1czO4O53iogcKrMmFKoAkM2mkGy0UKT/gK8kv4Qv/B1S+AX8AfYLKN0kGiAxlABEZVVl5RAZwx3c/QxmpqqbD2tvVTsekZUlkhAckRt+47r7OWZqOuy919prPXM+l4kJMOe3nfFzaDEOxBTnF/v9ZISOherCyfx6pVD1WGNAHAPENFPU7rX12bfzx7Zb95a1YpD687c1HBc1lJYiddlQW7eqci/ioFShB8A9LgMogpytb7eIieRs9hHhnrPekdERloI4A3WMWB8GSFGMn2j1pkNk0D/SPpJoqvmeFmV8kAPEFebtrKOdDNkAFOOqGAwcouo5RSFjDYgyfieiv3zGZ5GeBesb4Iu7Z4yxYAwZ1zLg33/aQ0oCBBhTRgyKFAuWFPH+sIesAk0cwzhzzmgC5h+uiHcZ9eOI5HZWdvQWSxPywYCuKghFLNbXBjLJItAJ2B0XxFgRA5Pst69OwCtgzRFLjoixYjdklCq4xJGx0XZLSFYnGwQx9ZgoXckSLJNgfQiogzYrpXS1WL5MGPYrPj+ecF5HLCViP2RMKePr5yPqLw6IV+7r5VUFkmKZE4YxY4wFMVRc1gFFBWuOgBI9PXxFQGy5D13/J9sWt2dCOH0Q6kR4QTQAyx3X1PVz9kMLjHVXgDqQseJoejqrnRuML9ZjwOnHXKv5SCtUiFgOAyxvC6QIpr+OGE6K5Z8C/9X9L3EtCb+Qtwii+PHuI/5k+hqyBuy/oX/2tQiQBenM/Q/3Gf/kR1/h3zz9FOMnJvNp1nY2uEAegKYQjQDIR0Fau8WRr+EymHWaK2nvWBwYf/OEdJyQLgPyoYfxNfAzStwePL/99XurKzvN1u0xfEG4aBCMonW7uZsa6WoWQxb8ueeZ1MoD3UQF2ssC0moWNc0PtpgCIXpAXBM3JldP858T5cbUAiEA3uSMyoUsmUhuOjnVx34sSkN1tiq0ABAvhee0g6iFCn1br8qwKJJWDCfBemKC63LpTgeJs9kDhJ6QuLl7XPpYe/AfVqdOVYpg+YaqtnlqJTUwJfOLy5ugAJ77WQBTeUAkPr+6iy0hCGuhhcAdKYbB7GXcTqImQXmVeLBWirzknXvKiZnXU7EvLNIsFMJCQ/KwKuIlN09GvKzORIqHqdpKWlaET2dQiKbTXlsCs5kzqsrkIQS7xxeJpdnWwCitACy4CjfvS1obE0cdGPRry/a7SfZW/6hR2AeLercB2eYHdYgMtjeUOw+U8j40j8OaNgGWF4rA+VKs4u/iAiET+BARiCss86KYB5abS+BwGG1M/I9XzP2r26eE0JQ5t2IffJMepNEKgdYvtEfoSYb7XLZkO8BaFEwBcFEMJ87vOFdS1V4GzABubIqS0Rq9gOHKzhsqeAsqY+hBcq1ogl+bdSGFyUwdTQAkSFOm9uDfKUg6BxQTmUmn0BLcZsME+50UoTqYh7AlrDbfmw2V2tdSoFXRlKRrZVHGVaDbmFsSXwofqYvIxYCwm25/JtKGjMiiUADC30a7II4rQ/O5cB93y4Zt64S/1N/f12ThIatRutK7iwK6j7JqFwC0edySKgXnF2B0ZV6HBwRMwLhfifI5wAJs39PjIs3/Odoe69ZCzvSpQ0DAYGJ7GWo2cohiauJkQ+iQepLd7I0Y2cXQg/KaWPSqI1piqEbn08A9D+A+HzzBLT3Bpfo+LYNasbHC1lw0ReSRNF4P+iua+n971qbarDBF+LYObICjWAFH2vuIEh0RWDK36YXwPSOsgDwbUnVmoSOdqUo7XBi4i/L9KUBXexuJC+yNA/fpjeo5rynSAsY9gL1YYsWRLujlzJxNxSOyyNN+PqVeEEOPDQDS4MLU9x/JTKaGMSMExTpM9Bg1Gy/J/ex1Oy8+KyojI7LA2say2nxNHvRZohd4fuR9b+/yYj8AswyzWxo3a0GAcAmoZTCaMAss65z4jII2H1/fd9JVrVB4u8nzPOfz9IKGFIFYsbwO0j7T2RtxVRIyql33zhKJsyCs0dAo/z1T8J+Y+IZVGlV1+qjNiz0UXx9sQ8iHse0J9PncnI9WeKyj2etcihXLajuXxqe1jb23u7Xkq7pIldE8BQgiN2cS/BxKirqrDKgXiniSfipIz1TrThc7m4qveyAfbH+IgmRigW5hVHdkZXmBVMACporQOkm93aAH/1IVw5MXuBj3xtn2BYBq7wLGfVb4qSlQxM5eywNJdekCxOeIX3x8jRjIFgGYYJZdxnIa8fFvXkNHxfBqNkQ0I0+1qZRjpmKwBiA+RYplKZAPFWEOGE7SC2FCFh8MSCrCORYNfVs/WzHeL8hrxOUjQYXnSCR23K8Yx8wEL/JacwlYS0Q9DYjPAeWuQl4t3KvXgDwFnH8UsbyWBnDlg7CtUbh+hyeeadd3guVVwvMP79ku8HdH/Mdv9sAdKby+5+U5IuWeY3QVT2CZB/zy8prbTiqIUTFfBuiF++JyR8XrvDOhOG+nMcV5BCsGbPbXkNWsqujRLNnXJy0J4xUNFNvmFevRCmnmLSwFGD8KpMqNC0k8RT6vvcVfc8R//80/xq8fH6DXiLUK/tXHn+IX0xvgmPHxzyfkgxWqKveTdFGMPx/xb+afYvzKBPUG4HLHnGj8RMo4W3hMdNPOd55vvO/1uImto+Vk6Of/5fOAb/+bz1AsSXarJ1c/331QlI3d29/3+r2T3LAqtPRNpI4bmnIVUkjdB5LPjxXrVWlGvtqhWP1gZ+UL40Dq2oZ6Kva2XrHzAfG+Ew6STUrr/yujkCKhnuTa5rJNEhSt9yZegTCzv2j6ZAGHVW7dx9HRSyalVH6M5wVSFGU/QMeAuFTIE2/Z1UfjtRKJjUQt+D0L0ExxsYzs0WrBv/LQaz2TpQeFbnkQskIWtzah1YWoIjwvkFpRDgPy3YD0vCI9Wk+UJYY3PpkWCIn2frQyRfZmrgWYEitTSZrMO59lRR7M5DowGY8nVmTKThBUAWU1avrAw96D1uGiGD/QAihcaT4vG2/TdtAZSkX0TqGXC3C52D2w90mGoftOOpLnQd82+Nla9qQIPe5Ja3+60DrFAqxt5b8mN4k3ut5YN0ljX8g3DbLg/KpDAGpC8EDUqbM3Aanw0LKDW4VzhKga+yJ9vrpfHuCBrQfRgk7lMsn81Xdmwr01bYJV97dEvw/22Zk3aK4NIaLqtjEsSoXeH9gblCuw3WwscWj94AWAVdQBLzAxEXDD8TJu1qGv08I5Mj5xfsdzRjAfT2k94duEqjbPT1lW6PnKOTGOPRl29VlDwTAkMhvcksgtsoBWbAhLhpaAOo4N/Wv9xv622QpRqqAlimB4MpTu6qgB2gFZRwbfPpYYI1ErVeg893kB2DzJPcAHeD/bIpAIEVqA9+YIt8172dv3vIBjSbUARIxvUD9Yn5qzK9D6qAHba63PJy5ovVn8pjSPTS9WejKrQ2yFEU8QHYmTbIwLVbJIfC4ALWFKV1atfc7UKK3vtVYhGSAL4iW0BBcWWIcFSFdLIF5ebwApgWOkZcm88uMtuZRcgXkBwgTI0IqrrdDniWnlfcWZRd45R5SdrzM0D0P3+my2ObO2QiUtcPh+3A+XXkxSK0jAbMTM1gciUEPiXu4p3nLS+nfdHgggimsMJE3Cz/X2ITC5FaujtFYM2+Pi1fYNZcAvmX2qu0/0WmXQzURDQgWuSuuu1PdgnZyez31YVc0fPEC9J9dfVphRR3Erizd9/oeG3N4k0q0gYO9R+3uux94xohFGpwQO04oUC57HA+3+jIXCoqwFe5fa7NWah3Ky+0hma2Vzow6xJY20AgLOdwHLK6CO2lAv3/d2XwvixZK+LYoOMIl4FqwPhipVoF4SC6yRfdLpxCJyujIYDKXvU204Lf7SwDPNg2AxJWH3r/d1wvnI+aBBISORF42gt6l59rq2hKOj6x16wgwiaHe/YuuXGtoTjNFR9xGXd3Ql2H0ozaJxy/ZqBa0qjLvMUg3KZxFP7F8p95MluX799kc6is31re3cbIwcsWLUnlCt+zkPn2hdMz4B6URf+umTJZsD94T1PiHfRQxPBcPHK89h19fYRax3sc2bXiEFshWanCnoYy+lIp0WIBfUw4S6T21f0BihdyMLdOuCcM203Bojtu0L82cV6SPnwvgh4HQ49rglVfzRH36DP3n4Fv+Pf/sXeP3vA/JR8PxHAt1X3H/+jIfdjK8+3mG1RDSd+EDGXaCC96sKvFpRPw0I72NDGVtCaD6oOgG6BIwf6XE6/vkF/9s/+Bv8P3/5x1j+7qExGjQC8w8D9E4wTWtDcOd1wLJEDB8jhk+C813F5++esJaA83VCKYJ8jFitnxiZSfW10It7/xueWfMbYH1neiCvVuBpwNt/zQT9459NmL9I9Pdd2N4i62YOZUExWmi+Jgy/HiEVWF9XrFOFzJwjUoDltTTWkAa2RuadsoBiDgf000a7dzHHkJDRisy0OxUMJ2D8yEOxpj6+GgTLg+D6zs4Ua4XYf8UizHJPRpYUJvkagXxPzR9cIv7yb34ELOyXr4vgL3/5Q/xst+LwcIX8Ly8o1wE4Dfz9E+f8m7+MyH+TWjya94LLD1h8jjMwnJlIXz63eOHSQRdabQmWV2ix7JZl6/oV5wfF419wfZH5SWZRiMBwAh7+0xPKfME/5PX7I7m62UQquOG2b9phWsnddy62bCp44p5+USDeNwm0fwOECJdX5jwxFQbMNdlAOg3NDwaxa9pWrgVQyEZuXxAuYUMxRas6eqW2oax+rQoGZVUa5Q4AEWc/TMy6JZjcvQfMDNg8weePuliLV2ZIWeuHjIu8uIF8nHUz5l5M0F7ND7pJAsB+sm3A0MbWLtZps7VX23WDfgXzowP4OV7FbmPiyIhu7qN4AMgAk3ZRvK9O32RgsR3DFgBFQ1xVO6V4W733n/2+V1VgiI0J0NCNl0HTNhjKhUGxI74+HpvPawiLeZjK6tEfLKGUhug5faRX+/VGLOM7NOXt39tc6nNAveCBfjb6mG0Zv7Dn4PM+ZIEaagRH7Wxuh7kHb3HtthY+R2+my0uEyK+t6Heu3QV6QlBobcQG+yYQ2/kuhoL3IMnXgJS+7uLCoJn9tpuxcurwliv5knK8vdbtOG9Fprb3BXQWgaPqnijYXOc8toDQcw9LYtmbiMZQcJsrH+M2vrV21oShqq0vcXsvANEphNsExl9bxsLgPEDp33OU2LyG27+14XjxftgWT9AOHkdUAbQChBcW3ZdTXs6FzXO4uU7feww13M5z/s5tMSdsiwNG92104Sxt/B0hjVe/fz4jfw5dKMjWpiUhYTPm8nKf2M6NCkONnBUhPVm2sRWwMKNB2lcvSkIFwQo9ftjHxc6ClTREMnQq11WxPVz6NTQ2SAj9eWi9WRNweye7n2b7UsHrdmq+I8SCdn44Hdxp+H2c+T5hNnDYmFoUlNyi5H5G9oR569t7s3e8LMKHQEYNfG/zjc2L5vbeVgxqz8yZOb5Wt3vrTbGodDaEPQOYOKYLhEGAyzIghEj0ygLl3u+L774MDcR2z8btz98UEv1HFMaKuGUmOK0ZAGOmzVrw95EsXTjI3guGpKoAZVJrI7AtwPdND4Uq+ucmoNpF+TP3Fhtfb1KAWEz0zaiXwepurc3q5VastnY9iDe2XWNsGILsyDfHqVMee+yGRp33s8GDe43eOx4Zm9hn1xSM3kuUvQ6hJe5hBaJo21eYvHDfdGKMFACZ1ibIJhSmaPFdb3cTNPAE2hlJYme4KMRs+Ri/9cIICyLOoADXoJ/pdbN27IySUhBWKwQOZido/sE1BUiy+HN7pgHQgYmRZBPF/DaySP/ZijRlxFAxlwREJao58ByrIeD0vMO6JuTr0NYBn4O2okw8BdQ8Nq/gm+mfhSIzQdneENj3DmXr+SmPCKFSt8UL8gJgDVjnhGla8XZ/xqd5h48fj6iXhN3VYshrwON5h7xGrBezzrRkKF7JonK2m6OHjtiHDOgsKGcKKZVBILu+NuIsSOZNrJHvUwPbQMI1YH2c2Ha33ResPSYsZsEz2pw/cx1oBGQEC202fj7/fH/JO2O3tTzAikSprx+Cc9y/68jbLhPINAL7jsPKz48z2x/yvu8vGpgnBAAlAHFkmw3HSZCvCbWS0TIMBXmJiB8T0lmwHgANzu60vcNICJpsG5oMvQ7SeocbS8XYJeVs7JbEJN6BSm9lU29ztcLC9G009hPvoeyA/DChXF8eIt//+s9AV7ZDcPX+Iqfr2EXNHMDhJBjOtfW1BPN8DGtFOSTkXUQSIDzZQk5W9R+ohlcn9zCz9w3SVG6HkyI+cROeX3FipAsDsHZWtsOZfyS7kmFoFAAfRFJAtF3r+Jh7kltBivVauNEOpEPku5G/NxduYv4KgmK0EqKUiuE5t+tqG7kjj6GjxMNZe5WnupF7sarpJpi1r1IrDzUTnmrVfqt0StWGamkK6Aq+AeGSEZ/puagTK+5hKcBCeqqGgLAW7L5erPc53BxqYSG6q0KPwFBYPeRhBNRRjNqlDcGIiysrarteTQFBuaHI+Yr68RMQAmQa4X2IEGEvVzIaniNUPpbTgHq3I/1wpsewzAsThU21Xwf+vpwuhuQlYBr5c/MC1K5IHWcqyZYL0KMX6QvYKOXDCRieiDrFC1Wjw2w0bAs6vyPiBLAwkitVfIfYFF1Ni8X6q9CTWDt4W0FHYEmnbeLC8Y8DEa862vyyTX98JKU8NlSdhzDR25erHC3B9DFDNsVo74kFyBBQQTqv0AtRDVeibUGGVejzIULvAhW782bTV0Ww6wkLVcPZd92DeRVhMSLG9vnbcdVSGj0dRiGUXHoSmRgUYV6IIPlcqmrCIbYuYrDEhoGQrz21PtmwD4YqhpYcDs9MKFzlfXqsSKfa+/m9ZSAXOPsA3nvuEWBVwNDexkAohX3MPm9KuUnCZBxvnoNeLqinC2Q3NbqyqlUYgvTkY9vTiE2A7fuOwg5vTh5vp0gnxfRRkeaK4dnuy5+RF6vECp5WXAEqVKLR3PnZHuTd6CRYsE+KI/c+jTysvYAWiqGy9vIgqV76piS1V8bTmehLWKgeK1W5V+fa9tPW5+bzHfxcGRKkVsSn2VDVsRVZXHWcCv1bJGZE2oVObxb2mgM9IWSyTTZQ+jgzKTVEUFZDXV2QLoROT5xdxE7JQvAiSQg9obSioAR6oSPaWVNMS8L22oaYey/wZAiDWvHC2kk0CPJVUE6OMPCZDicm6cnGNhhSLrkinOYuAGioqjrjwK/Hiqs6DqjHHdkan55vPNjFE1hj3fgcbyyOl8UaV15u1H+FlgqtXcF8eFbUaUMjPBRAgNM3B6AKho/RqNh+EWi9ra5hoFFQLfORwYpitr86vdR7A1siKz1JRAbShZS++W2FGtovyrNkfOTnNqZLW6MdMWYBQJCM3lj2iuW+QmNE/kaQ0Fs+nMYpGUinbMXGAZJ4PtTIsyCdmBguD0RDhzMVv9djwHLPBGJ45MQJGTfnhZ/1GnoCPD4qpkff520tT8H8w6X1wpKiDJ6ZxmZiEYIJgFSqMUshowM79j4Xa4tKJzLYXOV/+rhi+OaMchxRfrSHVMH0iRdbRiYUokCqfD7rwWLHk0AlGgrFayg7U89/sgA/sM83ZI5XyEqGX2BslO9Htqw9zfz6vCCdBHJZEc5X6H7C+tkBGolKO+hzs3Y2xX8xBXjdDciv9tAkWI+J/cVrhBRu3GGtN4U73K/AN4y3xl8pXv2N4uknEXf/8w/444f3+OZ6xC+eXyNOBaefVkjm/ctTAL7mWku77l2ajwDU0P8iOP4SGD8ZBfUObY5BgHQVyPuIclDUVytkUqxfrIDQZONnn94hhYr9Hz5hWSLWjzuCBZcAOY2Qhwv+u8/+Cv/i2z/Fh7/+AsOTaXVkxe6rgGW5R1iA45MYw4jfSxfu++tBML9hP+318wodFeP7gPGDrbFKDYj5LXBNgrxnm8n4QfDqryvKCJy/MBadrd/xfUD6Jefu+kD9IR0rZKyI7wW7b/l58xvS8u9+Aew+FDz9JBoLzM6UtdPeXfvg+hkw/2SBPCd8/i8F41NFmSLyAVQIf5+hSXB9HVEmweUzYe/twOejowL3KzQHhJmOJ/Nb7i3tjCpkmUkG1s8qfvjuE759OmI+kbEQ3ycACfPriHpcEb6a8Pbfco98/inFJndfCcZHZUJ74P5UE9fQ/IrtP1DuXxptj1WeI9OHjOkj2++uryOef8p7jwvP9nVz9k/fRAzPgh/8v64YPlzx9f/mFR7/lPFfGXaoswL/Ar/z9XsnuYAnYWgCH3YGMAg3oaWweEXPgir1Ra19k2yVf/RAyXocGkV5W+1v1Qn+vwegngg74unX0q7XAmrvKWv9iTAqQPBq+6ZPyhJcP1glV6I9VVu/4zbg6aI2AS7o0IryVRvK215WBWw9NYaUNFRZ+TsMyqTdUKuCbs95DzRDuKG2tjEGWmKgQVAjlWM9MO09UC8SHut9kSB2a2LVsk1FUzpa4g3mtVGTeuDs1d2b/lm/tg3duH/PKuVOIfbAbkvj3Fy7Cn+lzSmjQ75ElZiwUdRKogmzmC3FFukiMmoV8gTERW56Yl0kqSO52CB3m2vcjqUn95vno17h3YocbQs0lYvrxej04o3NeQGg2ebChskAoKFIcXUUl39ahdHHJgjgVb7vey61ArCKNcDexchDWoTKlV4BlkZfNopnCa14ExdtCS6AluCGtVKc42UQG7ivODW9UQW96h06eqmO1qPcJGDA5vluEccXlfCb51W0TRkVzoUK71HtP+qsCy8cdDRaO0L3fTR6sUkbNtfVru+3oFRVifZuv+/JjtZGl7t5bRFCAFt01+dH+2P7uXrPuTEwHL0LGwSvveUGSfzOOvY9Q9HQr7Z3OxMn2Jpo72MF8ND383Z+AI0eSfTQJyvaHt+E8Epfj60tYlNV3zI+vpd5UauxTyqUmwuDdkhnbNj5RjqoAsHR0X7uxKV2JpP337rVEtCEf9rjCcGese85L8b0+8b5Zsx/+7fIpLKv/uflr2cTt7HgVVSgUds+4vRXZ4E05ocJrPU1eHstumV9ATxPi4u+ba7F+jG3olnf2fP/nnXL93qB5Bab9m2/499lDRRiWvrcIUNts2Q8/thshzWEzmayOdHnobbEwBNfwN7Pr6HFL4xBYrWYROxaN2eNF3RYbLbrzlwH2/ymff7mK8+U7drfMMOCtOLWTR+v+lmG1nbh+51sxuVGoMzXqNhesdQWY7Vr2j58P7u0vwcSbs7Bm5/3GMTo1SIw6yvt7TIVVBtfU487jJFTTcyqo2nOoNOmNxBNOwQBBrBo23v8ftkD2feVZo+ShG49LtSyQWTdXshj2c4Swc3awXbOu3OAJu6fmzFRY8e0gs82boF29lex9raVwk1BKooGrBZT1VERFJAa2IJjveiAtDan7T4mFu/HVTvFHbfxiuuCUBRUKZYWFLUGnJcBAmCIBSUGrJHsr1DJjKsuRFS7jktr9Vg3rSjWMjGcdXPmmuL2atoSloyqhBanRbPUKXsmaW0+G4vMwbrtuveWRjjya3MI2/NxQFtT0dloOcLZRb4+Xu4HGhVhLNYWGVvRA0BjeVaR233ohUidiOnEGEujFbYsHBCgMWpRpfVmt89YGa+VNaCUQAcAYyWxvUKbENx2TYrFpZpoMeYMn7ZGrEjgZ41YjsAf6OtpG6OGleyh9LQgfDohrK9s7YMFypetgb/l9Z+lJxdWgVMLat1LDbBeqJUNyeOTqeitRoM1VCPlinjmw9dpsN4LIkBSFXLJlox5NQTWk8UJUibB/BA63cepVkWRrtIO6Zb82kbuCYQf1u1rsWriyoO2RrEDgN/TIaLEgJAr4nmxQ5feZ2Gh92ITEAKRPAQTrRoDkZ4To0cXIygTBR+Gc8Vwvh3j1qe1ob60AsEmuKnTAKehaQrIx8E2856QNf/ZtbBXFmCfx1JI240B8ETaP9+r4mo2HyJM9FdFHSNtJgqfL2AHWlbsq2I4U5V4ebCEOjGQbRuWAk2IwZJqFYGkCL07QLw/y2nV89ItMtw7cTXRnsEEeVQRn9jv6IImOiRgSBQkcv/FuqFi+0uVQVVgP5a/0tMK+VgRMqvKq9Mi7WDy4Hs40zsvLIp0LT2AXUsrLPCaje/l9+WfLVQ2rkPA/Mp8le9pzdWeR7WKplPpjT4ajEruCFdcvPdcW4BTTLA1GcJFOq0fsLbnJIGqNFVSBphg4JaMUnjhc4BUaDX0CQByX7thJjVLQ09E/f2Gcw+kJPtO7uvT6VoW9IugqQx7UWwANAwmHBQ5721dhGmAuOrsJgBuT9MKJGLWQ+3fUPkea0b6cAZCQD2w70lMAdMFwQSwxFXoEDBbEJu4T4zP3D/SxfrLiiXstXY2hSnESjHf0KqQFAHEHqyUQjEpVZ4UAjSF8SZOBeiyWjBUbCpp69vVee7zqypQFuisljAEbAWshudCC6kcTACMh3ew/dGDjHSp9DnPNjeMJuvigVgzkCLqrovJ+OdL5kHZhNWOEWUQ9g8dpQX8TgkPlnT43ux0yuYhOWvvCzTaoAddcTHU1/ZzpyoD4N4FEGHf6hkURTgvRMRj3Ki4V7iwjSujqshNSweRYEG8ZMQLbhDfajoMYa1GkeTcpiCgMxZi7zcdEnRMqO4nbEE699zIeVMHePHRRbqgStTT+qDbq5qqtyqkGFvnfFs8ETUXgCEg7+16myCWbIp3PDcH70+dTSW3JctAa/nYJLniqssB/LNugv8ZLB6PA9fBsprCtRWtgkCuptkxL+zR3U1kQeQKmFUWf7bfl5Ryc55xzgByVlKSPVsMYM9ppe/v+LRpEaqb8yoCZRfYf92SbQAKxPMKWSvKcQB2RK7LRCaLC7GUnaHHidRi9oX6nNZ2TnowLBmNEQlYQH/yPtK+XgAG/vJ1IjX1mayZdS/QY2jU+RoD6jD2InMF0tmYHSY8pdHiJqXw4XoIiIti/202VkUwtJbzJe94zocFmB63vaqcJ3lnqOeF+79rcsRrRbwysHehyjRQXCofItWFjdkmyveUCGjueh3xaufmjkFOvJKtEeYNG6Aofy+YL/Ge+w3FDfn++285fy9LZGvVQgYIhOOqgQxBR+tbkc+SPq7r/jw0APme+58/nxFAfL4AMaBMFuMW39dqE3ZUo+43inQukOsCKRVDIWU55IluBhtGigZhi5q99MMECDC/pspv3kVoBJ7+9Q/w5fgF4o/PeH1/QV0i0jMRuLJjEjJ9ELLxIhG7rbJ0vPKerl8Aj3/GRHP8wDl9/UFF3VXE52CCSYL45cDP/3yFjAXzZcB8HqBzhFxiW0KcNwqMiudvD/i/XP9b5DkhvK4oe8HuK2F8Zar0UCKJIQBqLZrLfWCOMPC6awLCYqwLYW4yzsDufSXT4hKaINV6z/7Zxz8mi8G9aPMeqLvKsTV2Ymt5/MZE+C4EQNIJOHyJdlatd7EVCcLae2MvP2QrxvghYHgGdt8K9P2ea/aoWI8RZc+5VpNgfp2gkc4HdSATNV3oalMnWzs/27eiHNcGMH0bWkFNFE3pfPw64RfLF0RwTWchXplEa4ooRVAHxce/YM4yPLEHP51tr7so4oVbZ5wJzuSDYn0FVBsLn/c1Ah//LEI0tgKisz1Uges79irHs5AN53NhBB7/0R2GHx0AAQ6/FmOAAnV+ARz9ltfvj+Rq3/xxsQcyAIDRlI26OZwU8VoaeoMKk05XYDWPuSGh7ofWbwFw4bdkRDhYZZBWpfBqRtmhUWNb5UoZQPuAupqry8f7ASFFLehXDE8MStvtmYx7Qw482BdQ8GPlhh4cTfHrFettrYCgEooY6PkWqvVlGKpRzZ6HCoyVtMggKLseFHnvLi/KaFovE7SNPRBFJcKN8EOpAWEIzIOdxisC2dJBPfnz6w8ALDBU0U7JWi0hSIHVpcLnCwDRvgdYgq7RVOY2FT9XEdvegyHW7C0R6JQAGbC1PgoANOROz1PtwzJSGEauK4NGo9VCBNiNaPZCiwXbL6ia33ltAqMwF8i52AHXx9mr0468pKu24F/W2mmcW6p01e8KT9n9s2dRmkBGmXpQ1IoyduBrBlAFcUNTbqrlGyTA5y5pYn0NwNHpvBkDq5B7L7AYmtsQcmcrOJpiNGGNoRVJtAKQCO+rFhH6G2+QYFkqrYu34x/7OHynN9hYCezjhDE2QpvnHpS5XY2k0PsC1ZLHrV3P1kt3+yxszsj5yvm1I7VDLIGr3gKATTIOHnYuFiGVFLZoLRmSXVyv9sKUFWOa9ZFfm9M5jY6snuhulZQbSmvXHKolvtvvmdcoQOrn5vfVhbZiJM35xTzHVaFSEdwyI5Oy2AqD4jTgfv9t7FSJnlxm6G4E7nbcj9faAnVVhUpAGWmTlafb+S6bRwEBahWMa0+s/DqqVYbbfHckNAiyCfowyd0gzj4fFE1IEACDSxHU4P3LlYm6FVZF+9zFpqgl6EVDeMFFQEpxrg2FpYiRBXMmtug6DuwPJj1Z/bOT992FVgiVhcUoV37WGlpSGfMWloSt1diKnq3AoXpL3Xdk1BCjcM29debIe8FWX8A+JlZrp1g4ptHn+YYNcrO/hs3at+d/M2/sLILtJaQoG2XbvXR9P68Vuiycw8MAmEClrmxiFUuIbxhi26/gmJOCz30xGWWwTmDSd+1WI8OZb+Rnn9MLvejM73GowlIgS4YOAToEEjeiWIKB3sMWmeCWu9r26NYzC/sauJRb/6ghxWnpa8SdIspotL+5F33iYirHBwbxbCkj88yTK7ZEGUtsoYp83sWWyAGKPDFpCJnJY7dOk2b/U6MAE/fg4Znzu+zYC9t7eX39GFIWvEjLfbFGIrL+3mUMyJN0Rh7QehLFrq+xAwMYpwFIufC89jPXPlMKx0tjd0oAzBpFFcOpIM6lJexx4fg4gucopvqZ2vaT/mzYmyuWCElT5PezO50SorPmUm/jYSxUO0Bi8Y5u1gzt3uxcHBLCGCFW7PJzRSN90/2VrozD8w7Id8DyqiJeBcdfsiDw6WEE7i9QS3Q0KvKe20ZcFOOpYl6jzU9pKKDP/dMRGH5ywvx+j/ET2ynqXUY6ZJQ8EYFdBfHC8c7v7HbXAKwB4RwwPgbUqIzhk0JNUFAuEfVjoiL5XlEHYHovaL3U2/7uzdrJOyar2153KdJEpDRxPNO5wkVf68AiVNkzyZ7f9PuFgEjwoKg7xTZcIk1eWluZGuX/+CX3/+VVsrUp7edDZvKcHwpkV1CuI4aTIJ0Uu48UBz1/EajEbMk09wtp4B6CFd8K720FCw3HL3lOX9+IzeEeLzZGq62l9ExldBZHWNxz1fUwAyoBmhTz5wXhKth/GZAuaC0pcXWmJt+vjIL1Dq3vmgXEfv3rA5HgeGF7BcV0eY6XY4UeM8J1bO4y1VDo6xvBeoxMzB+tPeaqyJv99+97/f5IrgUQahsxFNAFJoXtMvYW+LvYx1p6xd9601wFUdbCoDg5RB5Rh4FVvZFN4vlINHd+o8hHO4Azg22325mFqECjqRUeXK3vQfvDcpQ0ZCZq4bqi7gaUHQMc996VTMSx0ZWDIL9m34Lb94j5zUErpKzW+xlbTytVpK3KKOy9iiEAGIHqKKgnn9rf25J8NBS19KRQtfXYus1RHanmV0ZL/gUYLsEawmurlt700ZmKJwNXGyRbnOw9lt7DtqXE2AaPFgQEwK0ToiBeK+5+bX1de27608eM4ZHok/f3tsBQjDZth6wUC3ZgB5xTfWCfacUAL5wAwI2wFgCZV4guXWG01tb3paUCWqms7H68OUO193BJKZClmFWI0W03c6ith7UiXUvrsRWnGdUKZFBpXLWJrOhgAVmyoGiKyIdAwYADq3TLK8V6Z89DuKnVk3ShBlg12K/DDlTSQTbPJ2sLNNpGZdY8/Ed+afRpOzQbmqsKwdbmKLSfY7CdSTcskSJy/hyDzTMPnkVciPP2ZQJdXbCG4w4R01AKrX9SI/t9ayQS6IcIQNQxXWytOQq1llZYaJZT28S2BeMBjd4uAplLV8UGGvuBvfaxBSlOu6ZwXWcohKrNFssTKW3vvbTkphUAXA3WrZBaz33tiK5X+XO2nswABPu9mjfJrxWCnOrv02NIm35muXkQUg0FyaaiPloyM2/mF0A107m0ayTt1vZ183GVHJkARitMCBM2HQLcM9b77coOWO6BfKetFUWKUdIyUBYGya2FQ7XNb143qHK/VOtzs+fiIlO2zwOgJ6xTBUFEV/LQ+nFVBDoNwBBtv+3zQ1QBs/Do4k2mY4Be9Gw9swNFXABLUtHnkqzm550r9wGAhT3bxxF8P7CkYwwNzXK7GA+0PWmJJ0CutlbXgq1dU9MhaA9bGqsAplCOypYYLILhKd/MG1LQuAd5DzzPdSvmuGJ/H9o2DzXGjuYD7EvfsJFkzaZiHcyqCZDFxOO2mgv+d++jBzjfAPa3i7DH3VBfXdfvFoNhvXB7zr900cZ6KZPYvfYi2w2rqSrGTwVhrb2txPckBcphgIwR68NItd2dNMsO31/ndxX6uvc3aBVgYUG8TABEMTxKt4/xLcECTIq7eAzjb8I5EBc1q0FSMT1ZDSsYm1lbRsulN8wIL/rEpXJfs17EuJoQoNN8Q2fH1UFYZJCusxFbMcaede0F2Jebfh2oWUINCgACzK/IZsl7seTakPdqglE2JjUJi8q2rsJsSctiqsshQHcDkAKfl7WO8eZjQ7S8R96ftVvXMcmtcOGrKh0giasVeCwuo+6DNiAETiO38eczFJR9QvjiNWoKZDqtTsWnvksFYxe3gYynpbPA7g4sug1kHYTrClisWifTF8l9HQJAehQEQyPjFdhfQy9WRkAuEe8/HSFXi78LkXBRs9p5oD3U3S+cqQSURCSc8WjF/DwBFZjfUrU3TAUxFeRjxhojcmEPqg4KGat1D0lDvfPBkOP3TLznt4p6qNCoKEc/owGBFyfIbFsfXDxNgUrGm6yC9ZUi3xcTPhXQp5coZcjS1kGdWEh5+mlA3rN3tR4qhvcRh1/z2hzJHd+zIFt2QL4nSn38pRWNLL7KeybJZeS41RTx+EcB670iXpkTkUVA9kY4B9oO7hTnH5nFUeI+kfcw+zEmoOtRIJlsiPGZa295ZW4fgyWWIMpLoS1a2HlSnffA8oZn5+GXgnSm0Jij9mHhOTs+olG1Eai1hFmatZkXlAFLwE3Y6vxD0plRgeFTIJPk0ZxkJitEnPg+Za+4PhTaTj0GaCSVPCQm6MmZrNrXvPbphuFUsf/1BWX9L6SuHNaKEKodstIWLXs3NgGGBf0hV4TzguadVysQUvfctEAQABAF5ThgvbPDwh7ccs+K6/J5we4db1REsSwJ5Tc7hJk0BfY/UUI8zhycaDxxolld/EPMCiecV4TzjDolIkRBWt9LWHgghUwKcjmOmN9OPPg+UMYdHqAbvQQxAMc9EJV0rEDqqhiVxlVWkwChpEa5hAUQvnF5IkvlYe1BlAvI7AbUyWx/dhFlFzHfU0TEefnlDGiIDGCnYFWojDDnDZW7QuaZQXmKQJUuUgIwaN1OAMuHAQvehJQY7xvRAIyPGeOXT4CIiSYEpE8XhKcL6sMBy7sDY/FM9EQG0jJakgPQpkYEuhtQU+z3HpjQi1oiu3oAGhjUTQPv5dtH6PUKBNIBtVTAaZwe8F+uqC7oUyvqRqhE1oJwzUxe5op05mYZ5gJXMSWqVFsfqRpKjlwYiAVD5kSIcnkSCBYR6kh6llsGrXcMepY3Ben10uZ5KQHLOCAsAd7bqmsv4Ljqo/eBunojYP0kiqbiSgGcHpySrmbFHUtOUMMmCNB+KG9sPKQqn51RJZun5zhYMWabSQmgyoTRqPSi6HRepwb7z7bEUIFoXoBpgwTuA9kdkRtvutohYl6/RNWTeTt3FKsFA76GPOlzlFcEshgrIFqgnoFoAmFeBNtW9Rsq7nWCjdBU60+cRiZxuZBi2USyLAnZ0Ec56JaYX67YilEpwKA/SKO46sp+cjgVOoaeyNh7NbXl7fPwv+aK9My5plZ44RjZdSi/hrVT65xC3sZ2zSwYpcR/09AE+tSen/fEabBizh4WnDC4QapADkgfIwUAF7HxtYPP+kBpVcMiWboWpOcVXRhPWoGmaTkMAXmf+pwDWJTZ9NNBgLJnISFcc9tTmpess0SsIKITg0ypinBZ+/wtlcWrxD07uChVMlaCj2HoyW3ZD71gI4J8iPQU3BQ9847FXkdUQtbGZAgbATBa8hi1zhNyT3JVbxgyciE9W4pCcyWytXK+1onznLR7BvE1kt0QrqRKtnkgVrT0KWeFm0b5tmKTj2GzFVoz9HSmwODuoSfgxjhpyartIzJNPXl38a1h6Hu+CHCZuceLrYENejw+Zax3tOxLVyK2GtCYLjce4tsDrwDjt2fI6Yr65g7Lm6kvrcgkBgCWVwnLXWBQfPS2Eb6XfD7jv/7pL/BhPuCb5yPWNWJ+moAsqIeKOgHDU8TuIxOs+Z7XND5XpFPB9W3CaqJ9RHWVCqlBm63XlrnW2qx8LkCsoIgWkzmlnuh85Zo1xoxTkqUAdWKcxkBYsU4EH0hFrhQfsyKQNpTytkC2baXTJMiBQlEUbxJc34TuKZoITsB6ZXVRhEo2X02WgFs7SLjw/KljbPuMRBY8QiG1vFOcKyYTRCy7cPOs41wxPaGJ1NWhF+e7/aW1+djv0BbNE0zOWwnKv4uiBH5GPkTkw57j9bz2FqEgUAmQyEJgmYze/elKVsx+Qp12cG9ryRXx/TOtuabXWPcR0YRctwyo6aOivuVYDs+k6FKg1cbvHFDChHgKcIQ0LZw3188q6k5x/58iXv1sxfIQ8fRTovplp12k8CkBSbG+y0CqmKaMlCrkbkE9CETMbUEFJQf22haBLNbaeFeQniL235B1WSfBPAGYFOFACz+9sLG0DkzY1gfF+qYAY0XacV+dzdP48OqCH92d8emyw9OnPfQaEb9OLHxavMq1HrA8CJ7+LCO+WrDfrRhTxtPjW9z9uqBGwfUNQa7xkbHV6SdA/dECvezw8POM4blgvWe7zSUE5ANzlOtrzpnrP7vg83dP+Oqv3uH4txE6AutDBZQtEaEIrj/ISK8WXB5HaKRMcR20odD0cCboN5wFh28Y+19+kHB9p+37CMB6MnXnHVpvf8h8/vqTC8oaIH+3w/RYMb+j0na8CsKJSezufUWa1cBFaYg5Wwv4fBodP7Lgsd4Jrj9egUEx/d2I6SMZvNOnijIK5tddTFeD4PRQcfzhCdfrgCWRTi+7gmCe2ulkrQwrk3muPbSkd3zMiD/7FXQ+4R/y+r2T3BoFUWH9mex3QBFEQy23KJeaUNPvfHkV2ihRrTG5oYNgo7gJtAxDxnFacE4jHncjoAFxoYKYrNwk41VbFY4m3Pbw5r7ZSwUDkN1gQe6Ly4ouduCQlx0gm75FuE8ewJ6qLYJSOblpAyG9wizSOfOOrrZfsmTDELhtLy7p2hESegJcByJcVD5jpcdf+UAEICyK/besVmsyKql/nNq1qWwobYES8O1nvvt30jkV7oFZLShrNKMxtQBIk1ivG6efI0IMTHtfMZUbLHj3/kJDwUilDb1HDhw//h6awI/Mm0p+SkZlCxDJUDVELNJuSKt2GmdKCCLAvJkAhlaROudiM6waexLH4o39PW6SlQ3Vke/lP2P38z2BADcSBZJinFbL95RB0ZCgqq3HmX/8mtAQUa9y+ziRUriZXpvglMI20oMSp5yX2ooO7fq36zgEKOrL5fKdudJQnI01Ap9LaElSQ80aGom+HxRwfiQLKI0O5wEPgyIL7DSYqm4FxGwXdgpcgcYtEmMuqJ18bT1+95pR1YIW0BccLgK3SZbq99B3i+JGDUa17QOaIoP6DXV6m3DejK8q565qS1pFGBhtaeDuf0tBqohGjb95vxfvv3lGYaUwCG0CFDBBMt+DW/uIF5m272n9lUgRst+zBz4zeUCU7tdq91kHUq+KqdyWUaFTAaIiDBWalUG19PaUuvGppZo3ESKnEGq0OdzmsT2TiMYOCWtXVAZgVf3Yij6yfea6SZIDuuDZTZtFbUweZyNsRcycUtxYN5Xng5TCRDQG6JjQBKcsC1DYOhRDGQ2ZW4/S6JTpzO/FRSw4CpAxoSmS+7zwR7VhL1AgCf06S4XmYvuWJ8AVUniguTuARuFa8LeS2yXTeumtSAr0fcAZR+1avF+3VEiZWIDx57cRkBOATIZq6K4VhW7mtifMjqb9Pa+GfC+yEU+zY26zBFt7FR8Iz7YpIWCHsksoY+hMBpt/7Xc9oPaAcGLwGkLFtQxsHxJFjBVhYkFBiyDkYBRTvpdvV17ApKKvxS3OMMm8bu8ThQDinRVtCmgrljjtXFPgVN2sB9/neksCf9YFAf15evJYDSlr4k5q86uo2Vb1QqvPk4LAmoONt6OlZaCCbx16Mlyj/X8AgA0S6clh5P/UHeeKF2Wchs3+fm3jQGEzK4BV6bTz7ZrejK1TWgFPbrmmvceeP69QiaiVjIVWNLPr9PdrRW0vxFnRiDonuIkX1M4tqu/HjS4F2r7gxczoff72u/4KXoe0eNepoGUHQ9j6OnZB0OGZ45sPvH4KsJkC9R2o5BvsGSQAhsQNdwstLAUoJdC/XIFhqLjfX1FqwONph5qjxc42MGDMfP6CSVU+2PqtQh/oIojPsdH2W0ui7UElM0HXOQBVcP6wx+U0EaCp0ieSOhLPey0TYwcoUHPA+WnCWXeYnqXrm8wCLdpaJCEKLQFhMwdrsnNsx55UQDBWaxd4P+GrEpCeQhe6tT2xDhz/eAoo64S4Un2Zivs8q6pRt0n7BhHzh16UcStSFQKMZeS95R2fkxQxhwKeXQCw3gPXlXM3PTHR9udJ/Qu1WJrXmy59zDRaa4QzFVgPQ3yOzc6VY9KLbOMT49T5Da8vXgNOX1PFPqw8V2sR1CCQUbHekaGRTPSN+6b1w0OwvEpIf/Jj1PUC/Cv8ztfvn+SORru4ZKwPI8p9Mt+/skGIGESUiYdlPL0I5KxH1y0OvAotAMJuQNhF4EA0t0yEu8sIIChKEby9n/G//uzv8H454n+8DljHEeHrAekqmD4B+2+qHWiK5pkl7CcZPxlqYRt8OSTocbjZwJry8hBswgVooJpdupQe1ACouwSNgb05RtFyyxEGQHWTVACdZlibNZGsBRoCdIqGHtiG7DRlr5aLtOvWIbICuItY7iPWg+D6GTeMeOWimd8q1tcF8RQQ/n0wIbDISWCbcBVhn4cI+xJdpClZtrwJkloPIEDE7LwSfd+zUcjpg1Agv94ZXdktXTyBKkgfztAQUO4nUqHMIgOhV5PrxOBHigXYiYlhS4A8WXEUzChwejLuwzBAdhP7dodEZG02pNZsZtjzlSG7HeS4h9QZ+NinaVgy6RsBLVDr6E5uzAQmhYbYbV8bVN6RQ1KPAjCmFgx4xd+r2fFuxRcPz0ihIkBxWkd8mSNKJNsgLIK4GLWrWLIFIlvxTKEQjnlFPFG4pR4nImAekEpfAy0ot15SKA9bp6Q6dVZKbdYgKGIlQ6DRnLeIpH/NpfUQCUBmQqPfdlp6+10H5q98VlUEMkaUMWB+FW0z5RxxOftQBHMme+PwFZDmCmBAmCJSEMTFDCidGlyu/XMruWVic6/dfwJ3c0dVRRAfA2LaUKitUACATIuqCEvGjd9hBdT9qPcj6sO+329R3mfdjJkH8/7+QBs/t9Bq6C7QkwSfY6U04SlxBLeASXMrvGwEWk5XSBihU7Lnvdpn2vWb4JjG0JIK3fQpQxV62LGolSvkOlsv7khEc4wtMFgPAasZw+djRX2dsbufkVLBbsiYc8STHlDniHxOpFSt2nQGePg68sQ1X3YJ7hlO9k2xoqHtO6UiXuxcGrynOyIPEfFSMH6cW3GHc9KS+hBYUIiAhng7JrlC8tzHXLXtA2g9+doYHq2IOS8NpdHjZIUkRSil9cNXS+BrApZ7BlPLG2C9rxieAnbfwES5GFDkO1rCyWq6D44qe4HK507rdfX5mjsTwwp9mJJZcbH/l+KElW0Vzuzx5GgzZC0x34+9BWEtPKMmS1qtkcv7F2UaEPZmdeUFtXHoSbAzE8w33ffNJiSYItkxgLEJvA2A18+CVr/GMgQGUqYj4VoHg6H2dQytILwVfFQB5nc7gnU7FpPDyj7Ul0Xr4O0h9vzmzwp0V7FLFR+ue5QaEENFDBVjKsg14Pl8x97IBFw+DwgzcPimNoZI2QUMZ1px1Cng+przOs1W1Jy7NoaPZdmZwFHkdTTBQjXK4hR7j7ndo1Rg/LAwqbe2kHTOiI8zg9Ld0PvFtcJFrHqLjq/LTbJorWoAEJbYxecGa0M7ELW5fq4o+4p4onCRt+TwF/klnRmMl9konmNq7VFk9gDjqWJ4tH14reyXbd60ShBlNcV0K0hw0Po1QwBUxfBcAAG1Fq4Z+ThgfkNGCH10lYKRifoF46fcxt+LQHQ/tGRbeg9xYztui2T2u/luRNilm72fZwq69VyuiI9Li0s20xxxtqNN0DRnaoqY36D1g7swJcA99f4XrvSesNxTfCqsFXkSzH+wIEwF9TQ0CjKiYnp1xT/74ZfIGvFX37zDPA+WYAKH+wv+2y/+Fk/rDv/v9aeoJaCaiB1WrpV8VAz/zUfsxxVfv7+HnhPCmTZecRbaaakJQI0gRVlAH95ThBShyOwKTB8Sxk+K62eC5z/NcPTWqbDpTKbX8kAGUZgDVAdMX0UMT8DuW2pqaBTslAnW6QfSLZKutJciCyBivieCe32nWH6Yod8m3P2Cdlef/StBjSNckEITRUt1UJT7ChXF3V8nHH9dcf4i4PmPKuIsOHzJNop84J4fFwJ1ZSe00Ym0btp97X3SatZFTG7Xe1omhcyxkCyo1whExfknBZcvBPvfCB7+GliPtFGqA1kMwylDKmOr4Vlw+IqFIr+W+Q3bisJCAVSpwPHnbKWhXSWQRVBHtly8+usZGgRffTZhea2Y3gse/ioh742aPrIwVYtAjxWnnwRM7wW7D8Zkec3iwfiJc/HT64Rv/+k9yjL8l0lyb1V4+2bh1U2vTndvUP/h20R3268DoNFy/X0ZxIBVL4fnVVAr6Q+DFAyhIKWKvOkFcePzZlmjVr1Dr2byZ/vGclPJ3aAY3/fygKqJaQGd+mPI7829bpGt3zIGkivpzSVYGdGCZ+9H8SQCaMGvS+23qtIE1ElRJ1biRemnhaEScbcDQaMYAsixEmhLLsUVKrfX3VCOPm7B+rFYIUVDt10IqI1JuB1br9b539UFWkpoAb4naHW0vrQs7Gt1lKVou5gbD1q/Vqe9DsP3PDxp1wYxpCmSMkSho/idnxVVs8WyOeafs0VtftuzfnltdfM9/2fZfLW5HkLFGAppP6JMdkVRjaLSqsX2u16Rdeq899E2FkD7s7m8l9O8reUeuPGw1tuK9/e9ftt8/87nW6K7KU5I1V5w+L738sJOsAp/An0ZYy8KaEFDMerAKmEITuuR76y7v/e13Ze2SQxgVFxlolC5RjVsemk3vZw3ib+j5pG0Ol/DEip0jRCp/fe8P9PQP1RS3sWKCeLv5+Pn6K47vr+U2d8wSNxCSV/Oy+3fvfjodmLb5+eIWdsTTFAJMOrj3zOWgo0wCIsIEitRLVGIKKIoQqqo2fp2XPDGb8kCQyldyKkJfNQX89Tme5u/QUwgzb8nt2jk73pt164nj7/tpR0RbgVOnyM+ZgLr4bYC0DZYtQIU0QJSBeukKIsS0TVUnFV1aYljY8OUzbUEaS0x6lZVzoDZBNJNE0FsvMSutRSi8l4IUNwkdzfzQwQuFI5q+7sVRLb2XSpAqEqVdn9WvlbV1kzsZ0L7rL9vvDfrlP/24vkI2nxwFG2LyNahf59jZPMHfk7BSUbf+/lNHGcTY1DNh3PbxYHEJl30Z7EFB7d7Ozafp4asRWdKaUNnb2Mm+16xf9igzBBAsTmPRWkX40ULH4tSIUkMkbXx2hzikitCQ+bxHcS23wx6bAOY/oe0gldNaMJ9dTSRn9H3OdyuTy7X9v+tl97o2C5c1Sx6tmO4AQb82Tv7Q6pu9gT/efzOlwaOZRl4DxQh5DXV1nqA29hHQDq3j1np6wHY7F9RoGqFVLsf9v1qZ/j5WrC1tH2VwRMPFgc99qujQpNCVkEo4bv0fEVDzihgJjf3ICvbAGntRjR/qQlVxY43o9uqIIaKQQoqBJfrgPU8IJjVmxSwFWVSjKlglzLZGmtAuEoTdZJeh72h8KKwTdLtjCSL2dPY/US1HMCV4b/7XKUyZqAdkQFhJr7mLVB+VqGCWgHFEE0hKp73gNqeoUBDVNOV/5D37KNvBQ8FNNUWvzV7raRQu87WRilibh3a7r1GXgvbVWB2Pbqd6G3P8nvEugE1tvf0Yo0AsD54jqUDIFyjaJ7RAOAe181qSfznb9+/nduBVl3DyYtpdhauAoXtCX5NvgYDCDLYv9eB4F1NLzeZ73/9/j25Wc0KggtxfCytAd97sDTxYB0eV6K7vqC3dhmuLhoECBH51Y4CITf9ZPzTJPezoDwN+DYc8e+mH2GtJv4xln5YCDea4IFGAcZPudFJ8jEZ/YcWDrBe5vxqQpkSJJsVzCZg8mokALjHWTjNwJpRcej9cV7tduGReQXWSnralrrnFTgxO4kL0Q88Xzl+h6kHB4bw5gOTtnReEdbCKuIYsDwEPP/EGuTvCnSsyFNFVuuZfkqIV252y5HvF/aC4VQpBAWKZwCA7ofuU7pNwP3eQkA4LwifzqykjwmogvS0IJ7tnj2I8E0aDBLiNSM8z6iHCesP9lxEQ2iHntQBZR+w3BlqsgmkVIjOxSurxeksvffRH40FWTJNaCJTGaz8GyrQfgamQT+NRBVbENoDIx0TqlOurR9VitlDFQvoUrztqdQ+z0nd80CxdtVntwnZJdKsjI7vcuz5vmAXFXNJyJWB73X1ZpgeaDpyEFaqBgZTcHUF6mAMgHLXe8icau3X6d7NfuhTxTV2tB79GfoYSy6WdHmQ5kH238MX3Cb8Io2KLv6eFqwjRlPYJmUIAMpxbNYSGhhUXN+BVhyDNiNxyVb9nAPSRXEw+4oWkNcKueS+9/h9bZRc3T/R0VsNGyQXAC42f5xyPiaUwahYS250UbUeXFe7dRE3Z3i0/mcAchg2gTU6lS1XROv5D/NKWul2jm0QcPac2xs4RV+C2RMBep2Bpfeb3yQAowkwBTEKacFNb/yQyIao1cSKbDxqbUI/ojyYWQCIDd1uj//F2eQHuoJB/5ojLpcRVYXJQNR2wDq6TkEKCh7RtqVwfe4SwlpoAaSKuhvZw7btiQ3gGyUG48PT2oQEHWlsRTQXR5QKMRlPma2fdG/78g36YnN58R5S7RT8F0UvTZHskt3YzgpZyGKphxE6JLJzRsF6AC4/UJSDoo6VPXCvFGUfEK8CICCdyVZioGafZ8VLAI39I9eVTAwAKESJdD8Bu7GJTzkTBkUgfm2mJdH8ntHnhY4JdYg8v+bV9slgPYSkYrvmAH8RN1/TKbTCkO+7GuMtxT2Gpih94wnqc83s4vx7mjN0njn/x+FmnkvVG6ucYF7dTXHbrquauFSz8PPkr6KLsWlPjruVlJ8Rm762i6AiAg/AcVywloilRFQV5BLo+zhU5DtBvEaMH/me8yuyuSiQxaJesVhn+lQs8OOeXUdqKvAz+3yTAujEQknVnnx7cJouL1T2LdlVhFbEr7uIeX9nn2d0x0tGOufWKuUFbwgts8ouMBC3fm65Zq4/Y8utdwGLIWHzayvg7CpkV1BTRb2THqgvAdM3kdZmZ8X0xHm+mj1SvFTIQoTXad1O8S5HniPVtBvilYh33kecfsiEhmOAG1s9Fx69vibinO4i0pwQFsX0PqOOAdc37EuuFojPDwHLHWnVzh5sdNCVolWukisV2H+zIl6oyF12XEPjB7JvqrFN8t2AvA8NaUNRhGhCdCNZfI4EV2cHAvj054B+noGpYL0bsB4T+zWPGYiK3S9HTB/QE5gJ+PafUgfh8//Pgt0vHrG+O2J+OxDd/9UA0QHHXxIVPf8o4PouoD5G/OWXf4S6q3jz40/4/P4Za4koKphiwV8+/hB/++ENDv/iDtMHxeM/Ely/yBi/jdh/rRifAj7gLd5HYP9VwPgEpJNifC7I+4DzD6QlWDUBOikRZQFw3VQ+BTj9RPH4jyvwkPEHP/yAb5+O2P2bAYevKs6f873GJzI814Pg+rkAo8KLiecfAI9/6owTWJIME3QTpAvP+Mc/4lxaXtMyKT0HHP5mQB2Bj/+MomL3PwOmR8X8mkgvxAC3KIj3K3a7Fc/liPltRNlV6K6gImK99z5W7jvTo+LwmwX5QCHeMqGhqM29ZhEr+At2XzOzDIVjEmdg9yXvKZ25H8xvFe9/XBFmwfAcjOVKdfXjbwr23wrmVwGnPwi9ZSApls8K4sOK/H5Eeo6oA3D6KYum8SLdZ3qmSN43/9WutWvEqzTBN4g9zwiMHwMLFNb2MDz3rShYISQsVohgIIqy/AMqUPjPkOR6b0ZNFKaIFxfusc3egl5K1OfbniexCpqr5zITagIOZRd6hdUrXmDliOqbAhRBnhM+XvdWRSLaVbf37xUoO5DCQlpw2SWj6liQtvaeQMnmB6og7cZ7OrQfHtvKIjL7q7zfUB0ZBCiAoNv6p71aIi4diXP00RMiD5IH/hzpctKMzwEAxSuSFM7Id2baPDAYotItoOeEuIRmqaSpV6PS1ZA+EdL4DHki5bKYGiY6YpEMHVwz5PlMv8KR0yksBQDpHgiB6DBgfTIb4aw1A3GHfHC6MN+6mkjDeoxY7vnvweTIW1UtkialEhAWs0XKgeISwE2CiSIULimb4oS/YuxJi/VGNkXkTVDqQUv3vQx8XjM6TdrmM6wX18XFuk8ksxbdzoXAgocj6jVJq4Q58i6iWGtAqQFrCVhLZPD/ohop1aloppC6TSbsGt0bNOTag2//vt+Hsfx69dZ7Bf2a5aaY4Oqm3/vaJL83LwtMHZW9uU7+AP/XFG5dWKEOLJq5dQY9K5US9NEOKrW9QWhLQ7/VTdXcP8ep+Ntr2l7nFrGMm/93JNfuWysLPlsLL/pRF1LjjaFAlXVpNNk2RLFX/m+GSPvZ3VSbc4WuARLVAv5wgy7f3IchY56EN8GpsNz+/Haet553MeQYN+i9ThQVQ5ZOO7f1outqxaTSVfO94OfI4HbPtHvkhOfNqgpKCciLNV75xr+pCosH6RZ8y1qAZYWIIKTAgtfFmpV2o+1jBU2p28RgnL0QloJwWVHHhPrgFHZ0toq3H/i+4PNm5/ZL/Txrc2D9nnn08tyLAaqxjXkrIq5UCnHkmgGGoOwr6tGaowRM/ie2DJQdKXtqFX4/6/pcom2PhmC2YGpsKNvzPQFeC3urAdsDDbUVS9aNvdBmq53bOqKtHae8IoH72xhQBteLkBZM3iAHq/WBYzMfDCFrc9D32IDm99vG3Z7TzXiXCnWNhe18t/nXfK29mAW0opKjpv4M2GumkNDPSRf2858D0Bldte/JPoUlS7MxGUwmuCjXaakBtdq6HrShQGzDsGtYHCET7nUVTfxIQ4QOdu3Slky71977arM1dkr1lpXlw++ITKtpKpi0jqHtu1AgPSvCJdu+sLn/oM0+iDaCtme6LomNGa3DrCd/R+oiUoXECvFargAiinxN0PcUmYwr712j9VUCSMUFsvoYAD1RdTYERdSKsdtoHeN9nt5/2lEkY8dNbAdifBowaMX4MUOUVl9egNMAqPVvOjLeklyf64XXVMzbFAD39YEaEyGDhSIASBPP7cQ+fEhAnAN1ExRQ6w0uI4WqAvr4AkB5u2J6VTGMGecqmNfBfGgrAYkzMH2oWI/m4zxQ/TteBeOHGfX/9zdI45/h8gO2AgzPvOb9NwXDc0E+DFT+rUxC8p0g/kTxZjpjqQlricga8DjvcH6e8ONfFOy+mvH8kwMwsnA4nLj+p285t/bfKIZnKlsPTwXz24SaYhMic/ZPivUWLOLjQb4vGN5ecX+84ofHR1zWhHC+w/Qx4/z5iHJQ6Jl9n9VbIzbzPh+A6w8yRAUyU5F5/NjteHRlwre+IjuyvMoIUwGedxgfwWLN25UiW78YoKKmytwpvlBgGArudjOWVwnrMABBuf6zoIxUtY5XU0yfFelxhtQR6ZQ6xR6wn2PQFq9E0NMVhjajzbN04lwcn5hoX74A0ucXrJ8mDE+hx9dJGi2/THusR/rl+hks+4LdfsHJ2JGaFPmhcN3WoSmgSwHqDri+Q2OdSPb9lntVjTyHwhxMQd3i2KXvRVvrQFdDx6Xvpb/r9Xsnuetxo7y7ObTqFG9+zimhVPczRMGpHDNa9c93VRc4KCOVgKup/MUgSKeAmtV8lBT1kvDNh/tG/alVkGb2FwwnxfhENCKYGBGCJZ65Ynhi71I4LwxiEoOOeM2Y3vvN6C1Nx1A+rYbqVoUed9DDhHIgchCW0lQ5v5dZtUlwGVz0CqjeHUydeeb/T+xl8veUIN32xe6n7CLmBxpYj5+4IZYDk1ydKQAiiwcY/U8wz6mw1Eafc/9A8X40D7ycNgZ0/9chQV/f83ve/+U9yIEKh+GaEZ4vvM/7nSWo2hEMtWDV/Jbd37eMaJ5gy+ibG+fZeu1eW8OriJAV04eMeC2IT1cED3LdrgVgkO/Ja4y9p9C+ypp7n24pwEZdOd+N0GF8kVgScZZNvx0aorzpH3NBlO0fQ4xdwdjp3fFaMT5zIxg/Bax5wAVAzqElAbVI64kZngTDMyvTzcuyaOt5dpqT2MEXL9ZjuSnoOA2wjokbbVGggJTJuEHJK9CUiG8WtxdbOCclbqiQjrJsrKo0BUOJKgQZuFiAuNC7Gabc6ggmRLqY1502ylk1MSIPIDWo0ZMsMC6O5mrrQWPwHQ2lQJvzjQq5RYW29MjSk6QtPXg7BuwP3QTf0eyWPDg3X9+aelHDg53ugcf57UEmlV+ViugDEYsUuaYkRgbwbr/yfUUcgEriQW6YCS62hiAQCGCt6/n1DiJEPst+gD5QPT6e822ilhJ0120rUCzxWTMT+3S7/3tRzOl2IfPgBoDxURDWgDkNOCmAHKxXywoThUqU4yMP6OHZLdy4j+N+gpTxZp65qJ2sBXGbDIkVVTbUPiroc87FE1Fame15uz2NWexoMNTT38vXvSdazvKJARpHE9oL3U0AVihInU0ihbZ1jn7KONieb4wFC+wkC2QJnOeWW0sVhEsgunW1828MiK5zUUpTMpbV6O0A7wFgcQDoc9/HqVbOKxFoHvhxKQAyNeaR3ait3Yx0WaFDRLmfeiEwAOshNZqk+7nmnSWrloCtx4D4hnoe6VR4Lj0vVjCtpDDC1m6pgObO/jKV/cZF9DaCIAjTZHt96mwHWOJjwmc1mSOA9qS0JbleZMrAuApQKvUujb3iLVnYzCUIaAVYTaznyupMKIAWYFkSPs07lEpP08sy4PTtAVgF8Rys95wURynA9JGimHF2XRFt1lhhqY0lwgTJhJEKGWgaKNRSTL1491Hb3sL7UguS6evtjKqGSivgrURcB5xjYbGz+pBQDokxUgUCarfTygr43us2Rcep0R+37DjJQDoJuOR4zokop2IR6BoBm/vFEuO8s/1wrqZ43Kn/jSFjAEu8aJuLaq1ay8NgfYe8DkdyeVagtQxJZX9ljX2+ulIswMQ4Sk/A8oF9jhDg+hmLCfFqCfQibd+DbSHrfYTGqY9vRWNgMSYE0pnndVwq0pP1Srv14rKxAfT92F7vPn/CRR4wzwMkKvIrWzNzbMhZfwi8t7Aw/nj80yOOh/8ZLp+NuL4OWO/ZQ6kBWB8CLeLAscgHRf4J1ZXffzziw+MBasJPP/j8E/53f/Dv8D/tf4r/+I//MfavqEORvhkQL4IycO7sv+LcrAm4vgm4vgmAJFMot5YWoyWnTxHlskcw7Q0v4tSkSM8RZTng/bjD+2/uIaeEzyqQ9wHjY0fruf8opg8B9Tli961SJCkGlEMEKm19QqZKdbpoKwb4nBUIZI7MObLt0wWI74dWbMl7aVZA3Fc47tdv95hPI8bDgjefP2FeE5Z5QJkEy5uKfBBMHxkMXD4LWO4fUCYKdHkRRSqw3gvR9EjqtAbgdCTiPdq56XtYa59Qfu/65QHD1RLvClw+C5hfC+5+DcRrRpyVSP/Invk6KOrHAadrRHyK7XmFu5UtYR8TpJBJejUALSxcj2UiRb7sraAyoRWa13tFvgPGj4LxU1dx3u5VZeKGPD4q7n++oMxbVdjf/vr9k9xDsAAKcIl+FWny4mFmz6bTPMU519gs0opmd9CSXBNuIXzOg1EyK5nDiVA1K38COQXUPLLHYE8SeZzpBTWcFcOziQBs+lchgjAXxDN9yOR85c+kPZAC5JqRTjP75ra2DkAL9tpmIoJyHDvlNhjyYsbekjYBxLYncJPUU6imkvJ4HA09ZeBTx2SV+gq50HfSqaXt83dWkRRwkiyC+V2AjhWyBASTT9ew7W3r0v9x7gIpLpZDZeLaEYwhQQ8725n5M3qYUA8jLXbOJuKFaGqmMPS2AO8/csz1FSmRUUxR1CdDr0rnPSl6ZbQenQlYHrjJebWNvl3sGXDBARVgfAoMGHNhoOkJrB0aLUlzoRJ/FqrAZYaeu/fW1id3PSZD4nDTvwU1gR6zYpC8GbeZiJkMA5rIVCQSpoPcPn9D6eIsGJ+BUAKWTxGyChZJWLMXkhQogvQUmeA/8ZBOs7agRFxZ2gI9PhPwGi9MJGW9TVp0SJCBEvyNjTAAAkPGrmtLUrfzrtNlNwnQS2qmKj8PINU1RUP7jA7pCEzORLnVRGVCJU05aL/eQuqLGrpVoz2PVQATo6Mqu7SKYJy3wYOhVoVBsytqe08nAhNwR/6bVUkuG0Gesd+/PTv269Se5Pj3t4iQoQm+R7g69LoXq5ZSWdTvj2sZmD4AoQiiWXW412OI0oWDLlfc9Nb6XlMVqIUFEqAlOU2sahywpb0srwbEa2QVdxexvE5s8UiB83vhPK9jNDYJmuquFPM4dwswwFA9Q7K9993merp4MYf+5poCFh1axdeRdymc5+OT0kbl2YtHARgE2YLqeMlNWK35Yxc+N41xk2jfoohsqeE892KnnC6cn9PIcbK9QzSgHiZSadcXhQ9gk8gmbP1ugdqR/73tiz53Mu3JmoJzSi3BrUOnQYYM6MLChM9z9xCliJIlEkMwr1AreNle3dD4/QQ9TLz+53MrLLWCn99vS/CLFRgjMMjNHuDjGD8tkNMF+voe+Ti0BEMFKLaf10SmUR2A9cHWbu2Bl6iYjYWY57T579r4KQTiC6pUaN406jnrSZXPzfquWUwMkBD674IIrqOIzoLiftETGa5bwOl+Tp65abkCf75uz3flz0RDYuMcepEiA3mOeLrsGutsvg4YvknWdkOkTzKD43RVTF9XCjhu+21tbYW1NLZcGSyRWvnz6Xkl3f2zAetBsP9QMX1YuQfZ+gzZafk8u+poYmQtmauo0n3IQ9kk1wDmdwPyLiBdK9K5okpAsxsrilhLK+BrEOTjAEfytz2DIROU4MPZLE4AmgPkwqSM7R6wwiAgF9KUw8qxaCwCgFZCY2TL2VMPiMsUsR4pzinKBJZewtr2V54HnQE0PBW4Im9Nxmyytp7oCX+F0duZlNURyK8zk9T3fL5hYWzoiVYQxtA1CeOwixen+/4ga4XU1aigha1xIUCPLKKFma0xvteEjT7AX7z9Df7t0xHXpwmSKoZXM/IagY8D4sV6cV8kE97P+vTTgPMXe7qaRKry5rcZMhWkuxlDLPj0d6+w/1VEOVT88R9/hWtO+M3PPkN8CsbAAObXCf/HV/8Sfzb9Bv/nP/kT5ENCvAK7bzkemkCBtW/Zs/L4h8nECJVqxT4dFBzDlYrBoUjfg8TGPLJYEr8VQAJUknlEK/IuYHos2H/DvCHvSNHdfcvPmD5WDKdKy6ijJbcfFGEBdp+KCRYmrHfOgmBVQK+CmjuTJmT66nqPat5xz4P3EtsYDx/IAkh/dsWfv/savznf48uPDwCA/EZQVkFcBoSFiWw+2Jy6K9CgCNdg19DHRwrHU39ywf3xise/fm2tIPZcN4jo8MQNLmQjd0UKUGkQjI8BO6E47+59oFqzqZiPq0AlNIaCJmB/WDDEgsew60WPAynU03uuobIjAp53QLhjj7Kv//yKbRfpOSHOhta+eBVD8g9fKw7//kvk/1IWQm7KLZX0lDzFTiczNKaOPJilVMbJjRpk1MwpooYJW+9TDwqD9dLVwgGthQl0GBgo1IEV6rjyBKpnTi6XzW7UYbXqJyxBtYOovbzC7eiVCjfbKC0Z70InVsF1CivQEBzJ7iloAYKhC42uBxg6qkzCrNeWyBaDREmGdBoaQn9WQxfUxBG2YwgG88PJej2mPpFdNlyFm0JYgTBbf88VzQh9awXkia1az7Tk0vqdYKiQV7JRHPEFbvowrQrpi1B2uxZE9UBTWiKsAcjCytB6pOpqPlj1aKKamyZth6+Lf8SrAGdLYozW02T3XQEWPDSYbFnQX4X3YmgWjILWKZ1yg1iWSaB7Bis9+GbBhVVzvmWoEVpHIvFO8xy2yfxmzm1fljSHUlGqeRifGcjSZ5NIpfuNpYsbdLNPi8GNGdQXFwJ78Rkb5NbR9G2vc3v+PheKQmttCrMcl9tn7LTAm9f3JLk3f7eEsdG2W9+9KeO6Z6yjjyqdQVCJVNTBrTIE8eKUStoWSKYoRlhocXFjZeZzdkvlbL2T5jGr2kXX2vzADc38JRLR3tsFmlxpG8kq0GRrIAZg4u9nQ3DXo2B54GGx3lNQhvPc9iExxsIz+4LSFCCuP2AJnYyDoY2lFyNC4DjX3kKi0D6vtVpC0JOFMgnWlMxr2wI6T8hLoBDURnTI90NaC22e+6YA4nsgoo0laJ2iawUQEBcA4nY4PEi3olW0vjBEaFtDUCvqePC/7dt3j06Ettd4juPsAImhBfLYTmFfI/a8WwuDSCuEwFCAtoe4MJLfs1knUeKw3hSAxAo3sPduyCknFhTV1JErLW6WaHTVTVsLGGjJyj2QBTcr+Dia7Swh34e2BdaNJkFrp9gW/ES6JY+dXRREs7H0Z7BlC27WaHsZ3TNbUpL3Vsw5EHV5SVtPF6NEVlClXwfEuUCWF3tKDCyGba/ZE91g1FlP2IHvsBzWuwA9kCm0FWmytut++RnmP2zxhlh8UDpzxpkAHFeOdTUlbibITLzi1Qr814jrOPb64DVirJvPWxl0pqt2G58X/bIqACLVxH0viosnrWhnJIR7YDT7kqbSq5v3giVU2v9A0FgIW4Vg8DF1leLMtRmvylY1wNbZbYuLt2mUncU7ZmXHHnJB3inqUdpeqXMkxTEoqf/FCgCz9ftdiWo3eyUxdl7Q5gqwpSt7mw7b48zrdvU4xuegoXuZz1EEbV+g/ywTZMad0ij4eS/Np10DSKsdqRPh/p+5AuUQEK4B6cJElywpey4B1k5AVsvLdRSWgrAtVrVKx2b+w1ud+vr8x4ev8O+e/wS48jmuRYDVLDYVWF4D+WAJmYPBLkvg5hCb5Dc+Rqp6R0UZqVxcBxZwfvntK9QSEZ8D4sXmuig+PR7wf/v4z/GLyxsAHBcIoGsXjIKaZZaIWesQxAiLkA57sP0ygOcjBNXYiHXQFp8zDkKzshFBmyMaiP7LxIQp73uxU5Tf00iwKB/VlJ27eBT79+kBW3bdnpOAFp9jTWh2hrZdIij9fXVH15RcYl+jJtp1tfbIccgMkZYRshD9XF7bc7V7pAgl51sV+tyms/1MUoYfjyM+rQHpKu2ZFhfGihx3jWjU4jqgsRb8Z8qOhVa6V3BcySAAEIG8N4XofcHrcUWKBR/frLikBDFl7RoJULmWkvfcNuR9MgG9lcAE9zC0NQ4lC8Jtr+qguL4WlB+8Rr2OwG/wO1+/d5JbRgATABjyNnLSjo/a/Jc0ANOjHwwbKqVtlGUXgTBSROiJFN06kn4T58KK5BQRFgaMw5kS8TXSbD1e2UhO2o0leE2W3Tb7AsR57YnZ9iSzgFDDhhocuOIpCuTJZmnUVNoWjKj7RFGtr54g84IwjQ1FaG+/lps+UZlXonwpAncHbrznK/Q6Q+4OnVI2jZBaET+diJoOiQGtm5p70BWB4SkjnQvyMeLyNqEmZeXTq11JITNpf/EK7N4r0rUiXlkFbZVp1SasUh8O0DFBLivC6WL3knuAbwmLXL3CagGFI5pFoZ6Yv7rj9Zrojr90CMj70PrOaqSfVt4DZc/Nre4qhrdXxKhYl4S6BpQqKEVQHyN2X5PPT7qGIB8GyKvj7TNwamAu0Ex7KglGx/PgLwb6ljqip51yuR4D6ptA9V4LNMMCTJ8C1QefBPHK3j0diPIE89N0VEcuS6dDv/BG9cS0SiKt/lqx/4YFpOEsWA8defDG/LCSXpNmBhnpQtuu4OIwL+d4NlRe1Si77GFmz+k2WgUa1dGfsdveuOVRKf29PIDc+F+2pCDcHtaO6GKx/s1hILor0tHabcC9Zl7nlIie5YrhaQUwYNgH1IXzXBOTxbJnT1Y77FZDRjwmqBtU2NfkFrXyC3W0tkWilkBu54sVzBydVDEkt1Q+Z6O4YkgNSdYpQkNCHQTLA/+s94rlTYVOFdPrK2KsmOcBdQ24rgHXJSCeA/a/ociQB9zJ6XIi0LKztbjwWpP3zgaOsyNcAFyARwv3sVvGQmCPvB1ITnGqyW1GeEAPp4LhMcMtLSQbOyAXYNhkjL7nrcX6eNXo6kLrhjGYNgC1AoZHcFwtWPPeP+/RCqsaNxA8R9SYQl5c8OLZECzBCvx5R6BWMmSoss+eLtnOBV8r/goslHlAf4POGqXXC0YANn3aTLjIh4yN5gmAz8n/PiTOEV8XgQIcUaxNoI6YBkFeGEw7ldDFjFjg6vZ4W9rmlhJN+m5shVOZX9DxfX0a8q8xQI/7/u+qFE0slT29WzaSP+ohMVBayTbSSsQw7xLtOo4s4tSBaAR95Su/VgAqyI8Rw6MXExPiMWL6uGJ473PXYge3gtsUc4hYK2n8AK2sdgPkuhpTq1/r848FwXpd40IxFiYHFpAZ7Th9qth9JFpadnLTAxjn2miPbmsVVkCqoCRpXpK7j4XB4hTNFzJiXa0YtwiiMklQMVT+zIL1ZCKe6cp2K0dT3YWgBnRbRhNibAwjS/oQjR5rxaCt+vhWabiNrYm6aRCsd6klD6QVeoFGkE1ALC4V6axI5xXxaUYdE/Jr0tW9BcoFSPMuYn7FZzN9AsLMvs44Ky6fRZx/zLkRZtKTNXkAHCzhAcZH0oqnT5VtC749J4FG7rPpaaGAWwoAmJSuD2OjYEuh6NRNMUb4DH0OhMJkoRUQ7OfXu8ig34RCyyi4vGNc4ArF6x3YozgVPDxcMA0Zw7uCKIr3pwPOjzvoNWL4EJnERbF9XVuCNtyF1msZimI8rwgfn3vMF6SBRDfrIgXoBt373z/8a/zfv/7nGN9HIrKJ5yMLLorLHy/YPcyYf3XE8e+cYWTtRtWSYbumeAWOvwioA3DOE65HJjN5z0Qr/Ic7pNyFjcqORaT4dzv8Xz/8d1znQZFfF5RFjNlAKy8IML+iBVPZMymb3gP7ryuWe8HzH0rre2ZvNO+3Tor6QEbY+Bui5WxR8nGxPU04R9YjUPZsC8oHrtfpPcGe+TVjrPmNYvksI31IGJ9pB5UPEXlPxsL4pLi+jpjfcu0lozRzHyCtNt9VSBaMn5hQ1klxfHPBskSs08iz8MIzNa8R768HAMDb4xnvcUB+5lm/vqnIxww8JwwfDJFdrKAyKmpUTO8T7n5OC6HrO0GIQLokAERFRYE8UmgKYjmS0bzjYuiqbfVhBULlGF/fJgJOR86n4cR9ZL23guW7jP/6z3+OFEpT1n7zxxdUFfz11++Qf31A3VfUz5m4x29GslVsndQEPjsAw28GpBOpyOlaacP1cUWZIpb7gFAEz28U5YsFzzJiON/TQ/nf4He+/rMhuV7BKiZU2xrxrZrpgjrsj/SgAu3cuZE+bwgAGlIoppanVv0AxKqsvfIZsrbmcP6+tmqKAD3B3YoKNQRXboJr9u55FdMPdHuvbVxg1Vw/IL6XsrkN2tvvVbgwDIC2afHv/b29yo81s0qdYhuTJn7UkiRAJhO5UqPwzp02QsUztOpwo+aoV3+9WtaRlKZvtB0nfzk6Wr3Cf5tUNePzuBk0td5IQ0MczYXAmt7tj9nB1H0FporjfsGQCi5pwLpG5BxR5khBgoH5B8V5LOBI4cWz2Fz3tg/Txqq9nLYXA7T0f3d7GtLbbC4EoFx5D3HuMvxi9D+qg2obC7cmaq+XwbXT9gqryB64xpkHUi3SWBLpqqyir2jPknRpxY3Vy297+TV5svbiOraK2t95ny0CDHwnUN6+13dsZP6+1yZwbvPMmQX+Iwqo0V2DofdxVebpi1jCCUMY0CloVfs6fXlf35fk3CBE/u+hJbQtwX2JXDYf0r6WaBckfb5b8kahMc4r3VXIVLCfVqRYWZNIAWtMbDHO/NngleKBCFn0a32BOt+M5xbJA3BjKfPi+dYBwCQtyXXBCLcZC4ZgNZsnRUcAgs0nH4st42S7//maU4UWzuMQGODF0PcDmA0FFA2J6kVK9M93dHQ7lexbouBnbM6a7fV8R5Bo8/0bNH97/RW9avLi9Z2koZCZ9J355kKL/sy2z8RFjBQIpSKuDPbjwjnk1XBH0dweL/hZWertXP/eC93MT2zOsO33veD04nfg83+b7AbbEE1R2Sm0ztJxKw63iMFYIUkRhooQKq0AM6n8dSC5oA4AYNTa7XV4Yrsdr/o91+k/28b8xTwfvS+vFw99/+Dv3H6tm95bH7utxyg/r8c99GXuCWYoSqrqLIgxGC2571fNNqSie9ka3d8FJ7exlLcdOQrXnA88JvAz2M6Mm/tRQKCobX8K0FD7HmH3wh56WMGF87FGKxwJbsZ0y5bgc7FHIdJQZeB26fTEk8F7E8kK3PPUivUsuEmf+5XoamvH8fEQ3Ij8bT+n3bftP23PsOsKUGO82TPz62x7QP/sFrv687Y/gM3voSKOFftxxS5lHIYFYyhYSmSiozCPYRDsSbbk/PhIZnOp6Ci+ATGIxrDYnmlAix+wGd9v64RcQ7tOt2VydVsZKoYh4zpV9v8PNpeqtH2l2cP4Xm/zFK4cjp4Ec97yd7KAz68A6YlqwU0gcjO/euGFn0NKqyKZSB1Zc2KxVJ/DomBCn7n+Q5Hb57OZlxTxBLUBLCcJdqZQ24GxHRWEOaG2TADacgo0O6OORRc4+mhiVM3doWwZIvz/dY0Ui0wVigBE6vyoClbLBaoKmXxVIIX3pgtV2jtaLdAMlKhkiyjnbG2JDqxFC535ZM/fD0KPI6UAcG2T2vMp2BysEW1NF3sexVgKYZfx+e4ZVQXfzkdUCB7GK8aQ8dX+Dh92OyAq0ljIsCuWpznwYHOI49Ov1QXp8j52Qc7NM9UArAd0jaTf8fr9e3LvBGJ9ZDWhbUrbRAkw1CuFLrCkaCbrW6Nr36jjlRXyJuBklUH2tfH3hic+sDgrhhNuNp7hVJsAQ3tZQtZsIYZEpdMUIBjbj0kl2kBv1j6QGpg86RBbAJeeZjgypocddG/CU3NGeDzDLYDY60faoAahrcGQup3IYQcMCXU3oe4GHoqXtSmVamaSy146iqmoIaPN/86oOBqIOhx+TYTLBXqGx24sH+eKxs/PFgD48xoHUvVyRSgrEY8h3QQ1urVwMIElWRh86H5kFbkNqIlZ5Ir48QzJBfXhgDINUKO6t8DfgvgyUrHt4YdPuN/N+F+8+xWOVp6rKviX3/4hfv7rt9BdwekPuNHsvjIRpiVieI49GavsF2zBZc5QrX2/tCRKxhE6fY+fLoDlTlDvvcqJRvUooyCugMaAYSTqKlWpnGoCSjJbv/UQoeOBSPd1bnNyS5UMuULnwmrdwj4m0Yi4hBZQuQgJrS/4PMNcKCrlCarIC8aCfd2gxwAMbXRqbV8nNtCbC7Pf24q9qPL9tj18LZi0INgDfKc0G3WbOYx24SSvUG+LIaVybllQK0lRkYyCxDYGUnsDq5dnXq8nY6QWFcSlIp4zBdDmtSO5L1WhfX44xXE7PilBdmZHZUI+LflOFFqiYJcFmtbvrbuh2avUXUQZA/KBFKA68UDNx4q7z07YDRlv92cMsWAXVwRR/PzxDb75cI9SBGXPpGs9MngNi+I7FGFPAKoCKMC6Qk15WHYHIEbo5QJdZ0tIrAHYXvODQO42gbpRm/zQHJ+sPzEA7qOJKFCQBaGDidBcN9KH0UTN4ib5DR60C+K1IORw2+cTSLMcTrXRNR2BSc8L9z4XN3xRWBSbn80CqCp0P1JIKwXU/XA7p/1lSDNigO5G7kuOFm7mB/cSG+Pt90KA7kxAZlnbGhFnPbgatQgVuYdkYk7dKsdVjp0mKlkxPBbEq9q+KC2IY1CiCAUYnotZ4WXbB0z5N5e+jn1NoY99m+vrfGOlJVma2GBjb8TQ0eFsfd5jMm9zjn05DFjvSKH14ncZPcAGyoGMhePbC8aU8eZwwT6t+Op0h49Pe6y7iPUu9iLOqkjXiOEx3hTWfJ9uKv2+x5RCiyytrUjhrUC6KZatryuCeT3mO0tuVmB4Cr01YOa5lPehBboMjrUlCWxt0kZJrlPv42wI0iAmnAkkUCOABXNpKLb7c7ZCeiVDwRHVBiZsqdL2ufxaEUpF3rFXvidwnnD7fKmN1YAgKPdDt0maNuvB4zdVDE8rwiWbhdQCDAnlYYeaAoWnRoGmEWGf2n2zfS1Ap56EQpWWR1aUcjeBOgjGU8Wb/8hYZX5wKyRY/6tdkz0+TyRoeWQxZDSkXQKWN+QLBxNgDEtFPC9ABephYCxSFLHcJk1hJhOqmoVaCbT0Iy02tVhpMmTfkyEya4DlFeOD/Drj+OaC/bjix3efsIsZ98MVg1SkUJBCxeNuwtN8jzqbBZjyvRi/oWlNDJ8WxKcZuktYf/iqPR6pivC8QFxvwOfhZYWW3n7yf/oP/wecTnvgviK8W/BHX7zHUiK++XSHkiNQBM8fD5B9xvUvMvScsPtVIrvBVI/dv1gT6c01Oa3bCjZnaQCKlB7X5yOwvCuIzxHTe2d1hV6Y4dGN61u2zx2/pCPHx78Q7P/4Cc+vjrTxrGB8DyuYCfu3vee97IYb2rEXQ7cx5fVzoSjVmWKOw0fF4WsyLB7/yCjnO22CTrsvE+IFWO6oCXR9TdYoVcD5+cdfmu2WreWyQ9MPilfr2zVa8PResC5H1DtF/OIKTRVltQITgOsyYF4T5uuAeo0YrLhw/9cB6SxYXtOCKCzA4Vdcm5cfBKx3LMisR7b3La849rtvgOmTCWUdOL+iJeXTe+n7jdramQgQ7r8GxqdK4drJiqqZz/L0x5maRzbWP/jsEcc041IGPK0TSg34w+MH/Hj6iCkU/Px4wiUP+HTZ4XyeMD4K9l9ZQavwWnQYoEERZjHKuEDfAJoS8p7PPp04zsOTQOOAsALLa673f8jr905yawJ7zGziawAkKGqWhiACttGKb3boPYO6yceL8o8FUNyVatsUWcX3TZQPTS988DSsRqcNZQZEbeJ7cOWB6AsU5kZYyv4NGxTXEweaUAcg2mHhFEBHJj0J9h5dpwVFVmWkvbfRo+2g0xj5PVfj3ApL3Qw4kxFdM5FBCzB5Db0PRbQH/ZReFxPhKptKda8EivaEqFH4HKUFNginP1cbT/d99beMXWimG08bNVfRUGl+Tu/1aX1A0ntbMFa82l/xdnfGj6ePeBUvmMKKiIq/ev4cPxcASVGOhfL7k6BaAz29mfuzVKm3dR+7vyZUAgDjCyGq7bAbAsF+Edo8qAmJqPVBB+sN72qbHAMJBSgKF7+5uY7K9QKg9w0XL1OyqBHmgBi4mbnXMwMtE2fJeqPm/b1osb8aU2FT5XbhpO/rrfW/hu8fl5ac+lzZ0qQd8dogV81D1wNsR/221+dJumqjCBOq50Gu4DiElcwOZ3i4/YP3Swf3uHb7MqMSt74mL3zE22LWzd5gwbEA9DXNaEmuCz3d+NVastP6imNsvW1b+6PqCFcAdFDc7WbsUsY+rRhjxpvxjH1c8WE+4H08oMTI4C5ZhdX7kF48147mMgHWbeK+URTvvybYzS5VAAEAAElEQVTWkWePbADEeqLqwPnOajdpa/Ui1guNWxTU9j6omA3Ni7loiSv3nk1SDhYkVNm/r1GIZkQWKdKpq74CDNJlLdz3arhFnnzO8UFYgcmsw1IELLltbQJAHyug2WZ58YVq3aGJwNx8xm9Bcpuy/LpZLy+YI20PjzbPQ1fub0munw2qze4kXc1Sz4ev9nkeZwqChbVslN4LtiyI70VnffzqZq35c3NkM9Cfm/NZGgrP6/RzAQxaYmi0z2pFEt/PNVJXQQYiXMdxwbvdCfdpxmkd8RR3WBMF72rdILlN+6L2+eRFVGuVkE0ir9mEE6uvdeu13yK5Y4WMfj4pkCrKGoiSBFqrQNE0I+ptLeimp3Wb0LKvks8GnrQaAis2vDEb8mLIthRgOBPpzTuzxOn5WxMf86JBMFYbiiDU2hLengQKQjtPX8zP6olAbdeqEajgc/Y+4zamdsaEeaUS92Vm+8U0IIBHLHuVAQ3RxBP9PEMTuPL3i7PR+TeMDVKbFcNjNlG+iNxQtQ2zw6exrdEbAGMTO9RgDLdrRTK/eJkdJiIFu1kdASw0FPpoy1oQdqn38EYYEojWDhCWSkGv5IgYkWEqx9Lj1+f33TDjLi04xhmDFFyGAedpRK4BT0MFihgtWxoS7PcjCp5b1xm6H1C8iKDuO1y4v+0EmhK2+4u/vvnNA8IQgEGx2y/4s4dvcMojSg04LwOeP+2hc0A4ZhyOM57LHnFJTAZNbTpD2zOuozYk1EESb2lpiK8/pwRgqtCLCSQJoLPZxvjPBCaNYRUrFCl0DPjs7oTLaUS+i4izID6i9ZFqYILritdx5r/nHQsPTY9GfP2y9a0OxoYBf2f3zYL1ntotZafNBzatXP9hZR9rTYKyp2BSvlPkuwq8jxjOFelCL1hnboSo0HIL8Glgi6CYnhAC9/9iLCWtgiVHtuJdUj87hG06+/cVdYjAZz2uDxlYXrmtlccEaEh9WAXDuaKMsc0lZ0SwtQ2tYNDmeXDPXf6eq4X7WMaHBQ93F2SzO3sYZxzCglwjSg3INWAMGa/iBT/efUSQig/LAadlgIid51ePY701Y8vas71oZLvi8sqUsDdUfupPSPN1/oe8fv+e3EmBvXJwiz3IQKUzl+CmsAjFHkJmYMIK9QxZMnQa2K+SGYwiK4zD1gPnXFnZLDwAwsoEo55eVE2XnuRqFKRrQXxeukKsqwR736wHBBaE1x37uKQo4pmVpToQqYrXrmKnQwQCk+4tEufoJ1Shx31HWwFuSteFSZ/1/IUzET2dEupg/3bpfruIAfX1PYNE9M9yixVNDKjlskLmBSkGjM+pBxgCqCEv6dJRkTizwt8Ep17Q/Zr1yW97BSvHBSHNyVEC/50NlUZKNfEIJdIxcnbGKw3QF4lMdgsQ7HT2gGIpEU/rhL8+f4ZjmvGQrtiFFUuNCFFRMiAre/zKAOAoWM6BXmJ+AGVTjF5BxHwaIcsKfT4BEiCHQxOOcUVr0tb6g210lsP2YfevdWAlsKyCMtILOIJouQfVUhS4EBlvQdmycrczmh80UEyofQYDyjjHFrTw8NtQErEJ8oDvJo3YBO+bxExFyEDYeoACTf1a5tx6sD24vPGn3I7ZCwGrljy86NuVdfNZW+QR6P26/m8i7I0VQ/szhdk8FkiRSaNYJd3pfVtRmLCUFuQ0dM0KWEhTHy/dXKsjVUDvWV7XPh/8ejcFoBubKH/PXEyxmuOkm/nCOWP7Z1CoCoLQX3AMGUtNOGVe3263ks45pg1VGA1prbAWhiitL7GhmiIs3gSBzgswg32VW7R689IE1IP5bAcAkcycUoEIO0hXIE8B691AxHyxcRvR0FOZ4+18mwuLPf45gf+RCooKAYam9blLxoKLyFTu8y7iBwbqqE4J3RQaXLkdYF+eFU7jZb39OV8bVqAEQLYFYn+2pc/1bkuUu9bBkPqcqV2FvCkax40GgSfXW7uesimUwBKpiBs6tuQKrYrhKSAlpwIDYbEiTlWIqSn7vd7Qn92r2IWY6ma/9vXsxR7v5fb1ADRUnOye23sgUt4LLNxvwUQ1bTxGDQWRXUEcC0RIr7sWngXXnLCukeeEB8+ro6lAvh+o2XGyNZw7Ut/G2hJvmcb+97IpaNU+KFKEzgNDpVhRYAKei0AWgdSAMgmGE7ze2CxkauImXKNABqLNkqnXMX6yAm4ymnUwIABUSm601pbg8WveU3iFAlKMZdgbbzRJIcISF1N/3TkjxxKFKQIjC3zDk12DJZjpUhudd31ICHNFaoVEWG93bchxTVxT6ZRZVLq4tVukvWGKZMAJNVOkoVnoQn9AYyMMz5mMt8BCH0RQx9AK5r3dRmEHJoP5K1oBtnqkqmh7YD4morQmTDbWlYjaxPeOc0WYC6BAvRuhIsh3gykZF0T3sa8UYsyvJxYfUxeYTGeOSVNVLtrQ57zbuEBY/zWLJIq3+zOOw4yHNGMfFxzigkkyntOMu2HGh+secokIFxeV5Hwfn7XZOkpW1CkBr49MMs657XtSlcyRaWiiZzoyOb8hKInFR4vgch7xd6fXeF4msoPmCDlbX/Ac8Pw8ID1GDE/ch13x36mlrnofVKnDAgoexZnPZ72zhHLXk6Px14OpQjMZ3n3NOXr5QrDcK8pBsb5S5H3A9ImOEcefB/zq8UeYzlx/nN+eEBNt9UKaelyWgPWBbJf7vxHc/aog7wPmB4FeejK13gPXd2p70p5xslDIM7631rBNQasYE2E9UjE4FGD8QMu261ueX8sDk01XRScThNdy/qGgHNQExgRlVIQaUItg+DYhXqg/tMQdyl6B+wwERX6gunJYAvI+okzA8MgkNR/5ObtvFPuvON55z/EZP7litmLdh9t1Y1RytyU8/TDg+plSABD8/ctnActRsD4w0UwXYPzIveLy7YQP14QwFsRUcBxm/PO7n+FUp4boXsqA/+/zT/Bh2ePTssfzMuLptENeIuRBoRI2ewX7twE0WrS3ncJFN2vPTdjrbayBRVHciut3vH7/nlzrm3SrmngRaFQUq3wNTyYTLrSG4UYWEZeK4ZNC5oy6Gyg+dQU9DYuJdsiGbmkHGqJ5AM5APAOkdpkth7DK2V4itLz4dO4HehDUaYTukh2QdsibwI1bjIRl5eY+RAptKCBXBv3Yjyj7BAnukXh7jaLaaXEN/WTQi2WFTCPqITHxNkEn3Y+ou4SwkFbpgZiGgPIwoU6RiJQJOmHZUDyDIKwZ8nxGHBKG56ltxK1KIlbtN1uG+DwzeBrM5/gFKoOKToPevooHpD2gFxNhuUW2cNP/3KxEpggNAyumlxWy7+WYmwqcVfuWHCEy4NeXB4yh4PPdM45pxlojQqgoEhrHv468dopWhVb8CItisCSv7kboEBCfZ+DTE3ud9hOr0+crcLn2YO/GV5FVMt0VBrjltgjAvmBudnU0ClP2QDhaYWdtnpV9vljyPQ4QRKKGhgK0AkSuzYLFfYWDz9sQGhXsO68Aqmt7AF/lOz2I3i8tIpBL7n10Jp5FtfPYA/SX4lCZlFgApO06kigGcTiSYmi5iHQFa/tZjSwKNFr+MDSrErWCiGQGs46qBViRJFCNUkUQSm1iRK7e2ZK9Nd8m0SKdmr5SQAmmrixAR/cN7dVq95kSr8/v35ODGI2dYSyIpSdUNzRLkVZhdiQHkQF/EMV9umIKGb+8vMZznlBVcJwW5BxxHZlwemW2FblQTWiJwZ/Y3NoWLVAVmGfenz8j4AbdAnogUQ8ubADrP4qoqg2ZqwNQ9hG1KA+R7fYRBCEEqKGu4oUQR7ldzXfkdQZTA04AamPsOCJf2xpo+4nH90X5wdvEFbZnTiw6yMC5Fa7ZrL0242L7PdxeKArH0QcCsNYWK4yk2M4KWY3K7HZYsGvdUmdbIrFJDG3+tV5Yv24rvjQ/dlXr8e9zaHi2s86KO/FiBdztmm5I7WZM/HOddpzRWhTc5gzJKcnRKOcVorau/RkoMwz1FoVghcBqhYKItteLF2BMiKVMijpVxLEgDQXBzsw5U7BkXikoiE1fXVxJodMgyIeAGMQopYCsK5p/eyk3z1WGoY1zWwcv5giqsB9xv8L9WEsMWKtAB8FaGUiLSrcV8scR0SyDHGVMZz679LxA1opyHIAdk1Tx5N8Ki26N5yiTAs1OaTiz/xwAFc2jU9QVwykjfZyRX08UnAJawasOvN/0XJBOGZooIAeAhZCsWF4NWI8RKcgNyw3V2l7mAh0D6kCV+/g0N693nz/eduCMA1kqkhZSk22toaHaMHuYgvjtE/fyh72dYRsv3sL1Te2VXnyLM0UVq7dcyeY5BMaTSRXxwoJNuNrzLyPqGDhXlgJNAWWfKIK27wkwzzcWK3VMuD5MyHtHE0ABnPfZCg3JUG8fbyqG1xGtFxMKyMr9/c3ujPs04yFdMISCQ1gwhRX7uGJnDzi4P6nyfkK29oyFIpKialZttHR7WaTTaHuXiWDVIWC9S8j5FuKSlUJT6znh69MR12VA+TQgzLSWpPqwWFIvzTf4+o5gVTqZsGtDa4V7iJruxcL7z3eKMir03YKQFPK3O+x/Y/tcJYJ4/8sVYalYDzsKdE0KfbNimRLmryPSWXH8ZcX93zIGrEmwHkjHrZNivVPoWAFEFgeinVcjsL7NkLFCfjZi/+UF6/2ImjgW6cK58f6fRIo5HaiiLMVsnRZg/7Vi97Fgfoi4vpNWiNYIlIOiHCvCp4DxE+9peWVCqZ9VlEPF8Cli+MRENF0UZRSsryrK2xVyTgjnAJ1Y0K5LxP6jYHj0gibpx/PragW3iloCrjUhH+ggMTzDCmJMWB/+tmL3bcbzT0bMrwRuC+S9rSzMoBWGQmacHGfmAusxYP6DFVgC4nMEAjC/BuReiFjvFbuvAw5XnsXjh4C8CMq9AHvgkFb8r6YvsSpwHy54X+7w33/8C/zi9BrPy4jn64R1jVgvA5AD1nuKY2liQXH4FDB9YMJeJoszVrVeaW1WVv41Xehi4srzZfkvlOTGkwB3VBNE4GHmIket+Vq8MrvpOwn0f5VdBYIgrqbGmxhwu1CBH/iATYZiWRBggabRN+di7xlvaR9BoHd7Q2TAQHBiX0bwxDkE6HEHtcZ+7zWTUkBZbdt4U4CGxIDa6HieILqFjW4TXktEMSZesit1urJtAgNQ27jc583vzanMwSk3dhC0jU6V/qABDEzuj6jTQOQSQFdeQTtQKIDUDykV6b2bHvyJMGDxv3t/1wbharTHbcXfETh7L6m9x7qhGZX/YbBMNU73mVsPJsWful3QZR6hKkiHE3ZpxVwj6rrDWqJH+gjZ7HSuXBBxQUMUSHOw66g96IYqeyydiqcMWkX27fm1aNqHogC6ehDMjw9GWXbRKQCdhv1CGEJTAMaBh6qurefpOwGYoeRaLLDMRr276RW1oKlWtrFW9GB2M9df9kHWYXh5W/1+TXn1JYLvKOp3vvc9iHH7e0sKbH3491L6ToIlm/njvYlekOqImic79J6GqUgjBFTvjXTky5SqXSEaFV35dysw5++5QaGbn7LfiiXkrYBja7hdo62P1te8SWS2aJ3bVkDcjqQHbKiCyzIgiOLLK4s5z3nCUiLO64Cnyw7zlb6G7g3d6FDy3ed18zzExaBsfpcCSOhIe9jsp7CAJfOaeDgKlZDd33H1vR1wSmWNnbbXevIWKxJEYd5lXoVkfnCMwtWRCc6tsGWBvKTOA6341sR4tvPYnz8YtIaFz1ptj+M+nfpaePnKFQJjp3zPeN5Qlv18Al4k1wJEQ3stydUUmVyqQrEpsvjv+rpy5HHJkAWt1xViTCJ/zyoII1CFtkZh2aB2Irf35+ruG+S6+W/6+G7na9hSx7QXQNwCzZJtqQoF+5J1N7ANw5+PSOuLcxuPuJBhVVZBWbnfnpcBS4hYa8AQKvf5OTZKn1sGQogOxqveesP73hkCC4RbarZ/9fHdskbsFTL38jJEaAVqZoKNxdStr6Z4ayI6Hihyz+/9bG6D43NfBzJjXOuDrTM2xAUUezKbnAjSXDm/Nj9TDdlcFTJIQ1rqEFAPZL15Unwz9wTmVNHv04thMGSSDDdgfTW088r78nQMLKB4grofbgQcdUwou9SKaQDYVlU37yPC3wl8bphBYOHhwLV7zRBjx2kQ+v/a5+e7gf2Mq+0hClK3rWYTSh9rv1+NgrqLkBwQr70XFeB5W3a2HrMiqKHapu/CNSKoEymr8VoNhLE5st7+vVG5ZbNl+ryooJtIUtQ54hdPr7EfVnwY90ih4tVwwRQyPq57vJ+ZaDqaz3Y7m5NBABdYstgZAPuEd+kFQ+42biALoPazGkCaMuouo+4DZKw4XSbkbKywQAQzXWD2XkRJ86HfU5z5fbczzDueXbC1qfY+UuhPKyuwjgNKUiQ751pcFIEyBtpcGrMjzAL59Yh4Ea7xjN4DbKyH6jGhFZNwjl2lF/YeGVCwdz1kIN8NmN8knD/n/jY+Ol0WmL6Kbe2i2nzLgDPyANc86YrCw0mQd5G2VQvHaT0KQ+WLQEoEVZSJAy0PZHLEMwAMcNEvjQqtgETF5QcVy2vB4ZeCw9cV653guhqLwPehRZqvslshSea1z68DlrsRmuiWUlO3NRKjBq+HgHzk746PXAdupRQKEJ7SpkcWDcEmrXnTJ5tAJXgBwpqgIeE/vfsMP/vBA4JUXHXAoglzSVhLRBS2YJUx4DIUFul1Rwu2iZT+NQy4nCNV059YrAqZ53sZBbqTRmeHoNGnx0dS1fV7vHS/7/V7J7n7bxTXe6HgwqDArkCXgPEUm92BK3UOVk2p7jN2SE1IIZ6zJRqRCm9+KG0DdrWeUzvsxA/VJUPOMxAjypsDDxnbhOsYkPeuj30bXA9VgfMCHROWd3tW+C6FQfJaWuVfBialZc+NKVwywnmBDhHlYBRjTz4tAArnBeHpwmtJh053qxU6OsUk9KSwKELuVVMmgZxx4TQ3Wpm4f61T57LZ/Rwn5Nf0og1rBVYgWCAWTOyrJvrUVQTIjr6aMpeeCDhle7ylMvKwWoikna/83LsDg2ZPHpyC7cFQsQLCmpkUDIaslAIUoByJTgPA+EiJ9vp5QNlbVWdUoAiuTxPqUbCLK+7TjE/rDh/LgLlEUpvVOPuz+4hSkIgVIVKuZC0Mut0KxzWf7jc2Q7kQTTcEUy4LdOutKAzycQ1Qo7ahAmFGo+K4XUJN9v9WuAF4+OuYgNHQ+lLZJ7zmTt9V7VVyAILCRNdQSJ0GqFqV1ul6Pl+GaIJoZrOi2vrlAEC0osaEcjfCxVKYMPRCRLvWl6qyZpWCICbEEzpt2ZGjbR9wYxiEhn6Ji1NtA/xtvy7QET4TB3v5aiirJb+yMlkTE95w2mmbe4aouoCVLiu9M8fB7km3b26T3VgJGzEyJKOvumq2rz0v8Pi8sntHDND9xPVbAamFw2M9xXFxOpyNRRacTxPmOWEtAWMi0iUAHs87nB93kFOi/Zepo7sqOhMrvvcNRRXoRRFLfgRg7xZgCS7ACL9Hy+nMhKRmT27FemNNOOdMKh1VfXvwzcLmphh3oUVa3Q8cA6wWnAboZBZbT+dblLsokFMr7DRbsi29d3svvt86fbyUhixGbyuZBtQUmCi6xZkHzbZnyzUblT1CZbAgc5PoehGp/f9mrm8R28CkDyK9qGrzUlzYbYuc+7oyZFeqAmej3t4dAGP3lH2CVEX6NCOsBfUwAFNiW8vpws8+7OyctfUUzMpsS+VuyY79jFEe+eA3dHv1FpOVyO5+Qh0TwmxrqHhfdETZHVCn1CiUFD2sCAhtnsYLA9s4CsoloawVpyoIQXEZCkKouD6PCGcGimVn/aqPLBrHmeJHvAeejcHXnok3Yl57oqtGrfbkTNUKOxuU8CIo14ASIuQakU4BvV8VGB+JsgVXrzZkuau3KmLzJbcEXJlkqjDuqIO0fl5RIFlCGM1vEgvsHDDWlfhnKMJMNK9u6Ol5H1DGkR6dk1hB1/dsSxQnzre4UOTJ7YRc4DHOFXkfcH4XEQqw+1DMdzw0NhyD/UDbHU+qKpkb6zE2XQiiK4UJYyNAkC7MnruClPne+Ysj0ilj+PUHxgGHERgC4iUjXFasb/a4/sDjASaby0PEetj04y2K3TdsPVtejxTw2wWUKSBa+45sCpd1DKjHaK1xK8JcEc/oDJ8K6MT7RFWMn5auawGwv3zP/TJdSqdCJybYjsCJ1U5rBiQycfjVb15DopK1EBT3hysOw4prTlhyxOk8tQRxOJHeGhdt7AEy5ew6jAFXdhGuKk12yormfRwAyRXpeQVKjyNfPVww3mWIKN4/HjG/3/c9MCrGj8D+m4rzDwLWeya682tpyF9cgOkjEc7lLiAfQ3cECD7v+LPpA0xgLdLHfiGzrauGC5Z7UnzXOyDfF+x/mfDqZ+aUYPP4+lpQ9iyyQpk4umfv9A37ZRulOJNSC6VoEhNz4PzFiPMXAU9/Rrr67qtI6u0nxeFLRd7Tvg+woq3R4te9JcVPiuGsuPurR55ltpfUVwcsryes9wnPf0BaffjAtZuN0kxxKibeu28F4UvB+ceK5QtmpzUHxLHi83/yNaIoHr/+Ie7+9oK8O+B0ZQEiPRpD0c7ffu7za02Cxz8VLG8L7n8W8fbfL1geIj79KXtp01Uxfio4fxFw/axi+jbg9S8pTnh9E7HsGbvufhPgooAQoy4nFjfihc9tvRcrMBjSf1LEK/Cbu7f4H376j3AIC4JUzHXAtSRcc8L9NOPd7oQAxT6uuJQB/5P+BPPThN3DjM8fnvF0nfDxcIQ8J4z/JmD30YuTaDo3ZSSboCag7hR1rNC/S3j4eYVcXwY83//6vZNcThLhQVZo5SFL4MMxGkBYgLDNFyqMugNDmhjvCWTTA+U/LP3v/k8N/bJoxVEsEwnZii000aftq/nNhZYcqNseRDEaBGlbalVsNdGN1s/XkoAXg+EHgF/7toIchcnp99GAA0gt9fur+M59A72C2l6t51H75g20HlegJzIiYsI8ipc0xe+7ni4w5ciYMlB/idptVJdv0D1/Tr/rs2wza9ddAVkEan5oWgUf5gOuZcCcE7IGnOcR65KANbRKVPOZc5Rpi6KGwARn82831whw7g1oQaBsktywALrwAjUKtHATD4ZYSGG/RrNeaigqr6MFXC/HaZtQ+nP3771EiTavG7Gjlz+7mXeO3GgKJmpm81yFglf++YH3xGvyD9lQie3/vzOnPcH1f9vOBb8uD36/D0F7+bPBysNb1Nop756wuwevsrosIbAYAJPmf4kw2x9xyrX3jntg3+irwpuXDa375Xqz62y0vA1K9ltfL5BzWpvZ3CmgVUYOKKDKoldCAWCeB2COkGVjmWa/J9s9fvuM3LfVr69+z8A7kvtiHsWVnod1sErvAlK6vCfL+7N+25Le7EFAL5y0wof9WxMS3I6fJybqLAVpzI+XSFx7z5tkNDTUrNkaWdD+8vcA7fTHyLngVHNS/PU7P/+dsfve+9fNWvhd+972PU2wyCn1Pg42TrJZm62Q8FJUqsrteza0/+X553Tj2/G/EeQSaVRI4Hv2G3x3T2rCeYqOHgNtjyTrRaAI0KwoNj4SBMgmqpU7a4B76mattft6Ma7b9Wt7h7fJ6PcxAgAmJ1nIzNmIZLquCHvrtMUt7Xs2v2+Ep9peaO+LvlYAbe1OtGwjwyg2m5qu1g8rdPBz7dmHHuw3Oybp5wzVh/Um4aiR61VtnjZ/3SDtT3vMft543CT8OVG192bRXMBnEJf6IgFjAr1dHmTgWUyyFsAT6DE0tfJ2L41Zg7YePbFulpAVfR5YsdCfSY8bxESquu2j9yG3x/Nib3JEmraQ0oqjGknddLBke79el23aeYrWXrRFB7UwgKqBX9cccRXFZRkwLwl5jayl+Xtt4h+3UGn7uz3HJqDqR5w/uyi9WPVinV6WAUkFu1iQUsGSyAZxpg5bT8TsERUhgjonWZo1J0BEvVpyvx2LtpxC75tt7TQB7OndoJCenGpSIGljNGkA6d+JSVU+oBWXnNrfdCiajR7gXuE+BxCUau5C9FHMVnLrzZr3YmwKv3hfS2iodMj+gfbHW1uMqaKRtOE6oLE9ZLuHWBwaZ4tJZ4HMgcJ7iR9caujMT2+JNNEp72NuYl7CtgX6oPfPQ+X8rUPoz6etwz4nXY2cLCi0cQ8r14HvF2WnDZRMGyp90w+A0aAjgKh4Kjtc64DnMuFSRnxzucNpHjHGHpzMNeFaEhkEa0BeI645IdcAMTHCOrJAl+YOUAUbCy/QCQSyRlOJ/ntikBev3zvJzXvB+AmYPhg6OwXj3wOSgf372igi3HyV/HgLaMsQEIJCEvttbhDd0Gk/fiC0ynRRSCEKpuOA8vrQei/cemGLErjiKmX+g1VIB6Qx3Gz8deT3ZBeBNzsQJpeb97mZ+EAP7IoJHBmyWe/30GAoggAljXhJp4TTeXekp4XLSnEiS8ARYJYX7GMV6w9rog0muhEAhIW9OHVKkNADQJnZexyXjHgJt4EhAI0RIpYgeJxT0RBerBm4zqSavn5ohycA9jXKiG5FIx0xqdrppRUMqqx/hOq4tIQqQz+YpALjJ0F6jljeVuB+RckB/+lnPwQUiHcrxjHj8mGP9G3C4DTlxSpNV1arpfRARGNAvWMp0Hv7wsIe5lYk8OfrioXnC7TM7d8PXymVAQffqK33wpTu0kU7TdrW93pInO9PK9UdvT/L0RYA9bCj4rLZWgk60uyBpQ4J2A3W92aB5OIJjAWKwqqGRoHuh0aXhirqkNgzldirqC83QnBtpCna2BSrhCcTTuqIdCsaNFRV0aoxm3nFwLQ0Je32vW1g/n2JC9BtW+yzxPvtVLm2LkSYpNH+rSe2aCtMcH0IxOyw4H2G1wV6ufD3B7I+GlU/bPrKWtHB7sMpyUVan1pDe4fhVrVYLChBsQKaFdKSrUll0JZODEhRA9YUoRJxvjjSCkAF4RwwnkmdTGeiGcOZeygRe08a7RklEzrywtSyQp+e+bxGooySEhE6Q7e383z6oBigt/L8gkaPTLOSkWNBt6g2ex//06nqyrXkzxQgonlZ4L3a7XshNEQWQN+71tIRXS/aeJBsdF5nNdQd6ZSSqykSg+0rJiTY7HME2Ool1/0AvZuILl9X62kO/TpEIKiNQdSSrLrZOzzBu1K4Tr2YqQycGxNAN9cRpLFy6oFiSUGkobtsTVkxrLaHRoGmATKvSCcTLNxPmzXnyZ6xafzanCEBOwNHfp7kSoZL1f4zhobyug78/ZVIt2wE4/yZSfG2AV/fMCpoaH7OYrS/OgjyMwO9mqndkaMCQSEXFsbTWbD7xtDbE9Et0khrP3c3iRmW1YpGm3nn8+hytbWroGT3shkrfladN+g+mOD6fj6c0FSVtSG52pKemigy6Er3UmjlJpWFIsYa0QSkYGtKMH3ISE9kghHxDVRBBRAvFel0u2e2Xt4kLQB1Qa71cLuHer8vIEiTQBI/G3KbqCSjhooJPqkwoaaAIq+TQTHne6yK4XFBPC2oY8LybtfQXwb6lSrokLa+4lwQzgvKYUA+BGgcgB++AgKw3A+khlrsRbHGTbJQFNP7FbtCJLhMARQvTS1+iHO9SRDXA/eYULQVVrlINtGwJ7+mZaIe29kZI0VRD5E9vP65m5dkS/RTsGSc41RhRVzdFEgFhuRWFOs7f37aQT+MzX6HdpuWuCmD+RwEZUgbarzSCu+c23gxnmU8WKeEuk/UbLnkG0bP9ed3WAPw5uGM427B8UcLTtcRl1/dIcyC+a1ifRDMbwvCZzOggnmOwBww/WXC7kPFcie4vo2kMht11On6wVq11nvg+iNrOzmzYKWHSqT6KVivqJJpEIH1TpHuVqyvIi7vAuoIXL4wwcPPZuwOC/IaUXJAXSLCI2m181tgVibJdSDdenrPM7Xs7EzKPfl9/R8MlV4Z+59+Irh+XjB+DDj8ijFiNZG4ck815XR1e9KA5bMjwrrH9bPRWAV8JufPA57/fGVf/y9HikJlYPhEevfuW23oNAAcfgMMzxHzW0X+oxWqwNe/fA1ZAx5W4PrZyPt5Jj35+CvGk+uR+0beAfmtUiBr4f3svhEMz5yfH/8sdemHAvOZpQbS+DE0gScWULhPAByjdFFMHyvyLuDxTymONTwDh69qQ7zrAOQ7oIyK9V1GvF/x47eP+Lge8OX1Hv/65z9FOSez4RPMnyXcjTPmkvDhvMdlHoFf7rF/FKyPEV8/jpZlcz6df6hYHgLu/7bi/usFYY0IOTYWC/dsxoK+D/9DX7+/8JR4I7NXNaQFXuTAVwzPBXkfkfdC8RvbTEjJlQ5cOapStVsEbBa1VgCy6e8rlUnUOLRghps4K6b+an9VK26Io7ZA3t0ech5MeEVz+5JKq5IYpW2S33kZBU3D0JSP23ttk4DV6KZOgwim6uyK0tuA2aus1RP1zecabUtyscRjgIyAVrVeTeV4O33Oxk83aHRD/l7S9IAeQHhyM6RGjfFEX6P1ea3sEFfGOP36tmiBiKHEiuZzYBPZD404c2jXVXiGlYDwRKpOEWCuArkEDCevuG+QXDuYW4XUUZvQg1YJFboKg7aNf6LkZD3KBbre0n7ShbZB2ySXAZ1VyVa0Hp6ulCodTFHOnW3yxje2Ik6t7AvBJlj1QC6gUXFvfn+LhG3esybOOfbyWpJvveoudd+mj1des6AURQgKLQrRCiRDSx06UKep6e38xOY9Pdjfoogvk1kvEIl8Z42199hUpunJ5/dYoMWony1xVqLS23kG6ewIS4ygwdSsK5ofbxs023BDgKISQdmi6p6QbZP07Ua7uUeKwVgw7slJW2c+BpwvcRHURfD/5+1PfqzZkvxA7Gd2znH3e2/ciPimN+ScVawsTtVis4VGN7sBNaCtIGkpQP8Fd9yJK0J/Q7e2Wkk7bRrdiyYkkN1qsCmCpMjK7Mx6lS8z3/QNMd3B3c85poWZHfcb71WxgCR0gcA3RMS97sfPYGa/wfJs38u+f+rnx5OaTgRvj2SsAS/iNeSzrMbaETkvRGV3+uVLCrPf12ruxLFCjqK9nw01kgCg9+tC0y9dVIqfnzk+T1237LTjqX47OST67r0UuER0fUqs0HlFYQAUn+esqEzVVlPu8ApoYtNaJvijMASzditXc9sn2/Wt6crP2BOLPpAu9jqKAUKWbK6Njy6QFrsHK4SSWJHCCsBtvZXSEtyG4s15Mch7fl2r67tgdPhnE7WigRZNl/2xzXtLZN1E7VvyBE/+iz58ARoaoT+H5flUAL5PZ2giNMEQdIGwtG4JmhCb7GSszTF9jWx/6xmspQIrRJpWRZNvM3gWtLhRHx0daIwFZY80Ta0XMIO0ZM6LP83LQ2ABmMUpwRcQDCk1hHrMektMrYUcxHufl4t52y7Z0FpHd4RW6JqtQe2xaq1MAtmz9cTOHIKrGBvE92l7i6rncSv4B99ObP2UCjqewdKDqon/2NajuY2rOZlez0Uhy0zI3AxLqdyaYHDixvRZWkEBPBUruMbmVl07nctuTqOfiQVRxsVW0RLg9k8fUovJFgO49ThTQ8Yux1f3X/g8EFwm5vbvdeINfeTqjg+gjgHxyI0O7AXxpoO2fXXRsi6ILhUDIiIt+xGwxMirooi/4sm08JXQxYpNmjHO3s/YjLM6gQwVfa8u/oCaaLbkMBDybnUWABesLBKo3cHGLvSs80ECtNUiyzJnvRVWrAixYEpG7+2BfFUhQ8X++oSX2xOOc8JpSjidOsiDOo/Vzlz/o+pba+bmCdFa3nkf5ZnQPdqzsrVaegDXGeXYLYy/VgQCykZUW21rrfQqO5j2jOlKHdLjSRPPdDUhpoI5de15OfspHZWCXcz8VQ3GRA2vRPdJPgbwWce59Mrk4VmTWAVrRF3UBXDXahKxHspk+nRLgrc+R3UBqCO5fY7vu40di4s9QzWx1dhaCshx1v23mov6uqVgup7w0YtH3A4njDXicRpQP3Qq+bA5nKeIp6nHOUccTj3mc0Q6KyClAKOyruqgE6kM0q7ZteXRpIGtoDJXK8gB3jnmr/L6vZPc3RcVvNGFEM7qoOYT5lsbMRGEjQZjgUijYxkVtprG1V1jFd3zgEODlgqtcoEBjHZgW2LKswborofUvotsk1yDKSqCYHSc2jFKIkxXGswotVpaH8u1FicYlF76Zzxizx+5QqrRcSK33VYTDNINu7jBlCFOnsQkteVHtEDUeuAu1Vy0ii7VBVWQwcbLA+zVw2+JKIB171tPIoRI0QtzF2xjb9QY3WMrsOlb4EyjVcO7xbq+JQPuEForRCxwDWHRTXlybBskiYEI0ANr+43OlbxRLYdEwhkDIow2I1olqilgeM8Y3krTKzSjik4Xv+tWGmrjgRc0GIaZQKGwotRFUUcCNBHy6r+9hnczUDozTlBqC8niAKefKYteCWjzWwKhbNJy+HQRoE0bMzpXnQN91IPbnWjbsw/tQG/zxejHTimvnVZzW+LIQDbNu9Pwa0cYr3npc0e+AZoZklF4uGMLthQNbH0TTZutCXlZtNjPUUzmZUNt882+n1Xz3jS7QEt66BmqfpE4GtJEpOiEz1NUUVdsYDHIYQYJt+C+fUYVRXB323Zt7TNXaJdfJ2pdjLLWAYTT2NeWq4a+ITDU+t6RhGTPg9oB4Ad+OjqaYtEDofUQZEtyw6iaI7J57to0R05osh7Ax/EyAVklktT3OpctsddWMBkQbSVEvBwD4SxAJ+tuK5aoLbdck7sg1saQaS+bmxLZEnJHvdXwrPYJ6BPcNE2fjQWQtQKnrBIR32NdN1sKMCsyXrepXQuJ7p21JzXkSQTpGdNtbJq3llgUXZuuWecutEIBmeGMdPHSFd6TbEtGSQSYJ91bVte57MtmBNX6nXvivCRZjakAwHXavDbNCazGU8mZFdnW3qyBLAMy9Beft34///e6NZKyhkpD+ENz59eN4CJ5dDQ0aLGIMtvesCQtbe8aZ9Bk5j2JW8GBSzWdJDUTqXJWbTcIiO16dU0EY+RoD8f6Lb1r09j7x9v+R2exD1y08m3udwmUIjBnyPG0ivKA4R1AV5ZkWQLubVBAylBriFW1hNB8F0pjgmlMsXQEWCizba1ENp2lamTdBLFsta2X08/TkxaDVN9KS6LVcTtzSACalS44Xi/7iX+WB8NqAAqcb1RykA61tVTUWGtJxlpcATL6oiAdip3DHnizGtbse9QhoXaM+dqMo862D7lhkziSD5RNQu2isfs8htMLdtqzI5VcpJlKsbczCqz6423EfGVI96jPVgyF9T623jdd5wYhd2S0U4tlOkZlUqbGXDTeSToBtS84Ie970LZT1/hEF7FnS0YDoQQtGEfr6xom6/1qz730ZrBWCOfJzzhNONK7iM3XdJEgu+GS01JbMbGqUZai7brX1kANmKlp2xgq4TC3mHhdHJleFgwDEFjw9u4K9V0PN7QqQ7VCD4FmxumpBx4Tdp+FhmbWRBhvCadPM2hmNZcSYLrS4lC61ySMR2D4dQcqQHev59X4khSxtd7qwqvergzMo65XT9CGr5T19Jj3OFwNqOcIOjPCkbF5q2N2fg2UbUV8YMQnXQO10/HafKWx3+F7hPGjAoBRviFQQAMn+veEeOzRvxdc/Uads0+vA/KgST9EvV2uP8+oURFs70HrfaznnSGrbwfMSYDrgnwNlRRNhDQw0lF18e7VUjt3cwbib3qQGCXZZBHWSa1RhMcbHdd8tbjTKxWbcPp42XNAum8O76RR3UHA+IJwer0UaPIGePiRFje0r7ose1uWtp85aFQ6wvk2YLwhnD+SJn8MIzDd9/iiMA77DpEqPpw34JNqiKfXBbybgfc93v78U5RBML0q+px67X1LhZAeGLUTZCuqsBlszTvg8P0BpVNjL2ApqORB12w6CIYPgjI+y8P+gtfvneRuv55QPuoxb5cATO3eDU0C7DC1AM8OA9DlZgt7aLVftRcB4G5ya22tdCb4dnQyLkZTXKqZOOlhIkWRYokE6SxQNiMFJLXznzeE8aVeYzxq0OnVXc5APWOp7ApQC2n/RQDutueQgtRVwG8vr6CGEe26WtJiegqnc4sl4m7+03Rjz6vX1r9UejW4af2EXTtQZXFNBhqq5ShxMyvwQKmLagRVl+SYxCouzCCj1HrLo9p3amySq6J+a32fSNNWLwZEDsMoBZqgVBaG7v9cBMN7PbzG29iCDMhSVQNgfeiUIj/caRDk5ht5owULAMuhS6oPUgqUJVcekKS4mME43ZpIg2+/J3t19yNAPfImWFXaF6C0jWNhMNjfHUmLrNV/o3NKJA3QSkU4TGp61VtQWwvYURNP8FbJC1kiVfu0IEwikD40Iy9AD/6yCa3PG0Rd8px6st4g4wmmmTGpQQBq1hpLGKFrtZiTs5vleMDbNFWrJHeVMMoqmPXxEkARq5V2TidVvaSP+3u55tc094jBTGYUoZRpBmoBbTagFOHtp1qRxV9VZRNkbYka0uAIkGtuqiayIqaJWycLz9Zhe5+WzKf2dxJjIoSlYNf0ZNXs8J0sYGwGL1I5GyGMGgRRhZk96dzmIprgnrMmQVZ88gSqUbyJNFGX1biW0gJxBIex7J9TAUZNTlogXNQEB1C6YOkvg8r2IijCxVbk82QRHkhD5SfWd9y1ljwpm6K1aAvceoa3BHgyaUoKekaILJRkSyir0TFLR5h3Vszx4S1L0BvPdqYEL16WC7d8IgHGYqyZZR0iEJAvCyO1W0zIpFrBArBKNV8UGpdBZp37a+R3ZXjjplG11zZ3Mhst3K+xi5CegRHgbM+96Wm5MQeWPVcDpGZ05dM3RWDrvaKrJsGmTW7sEUC17JZYuBuwo5UotqZc819F9ZuZwJPug05t94IN4PuNfTQ5q0ELyfG0Sm4rFpmO3wsRhK09z5iXpMcp8edR9/oUtehEBIxjQxsBoL+vEGjQmI6C7qli3jCK6fVqAjJRY6k1WYBoIOmuv+uzSZFd1r67VeeDt7/hTIiPM/icUTcRdQhoaJ8A8ajPdu007/O5Rk1uNGgWTFe6jzdNnb1He1mwW6OOazx50qRn+oWuuCG59gauF+4ZdY+lFWEklMCQfdQE2OQM4YxmutWmrxvSdVq4c82ua4e136rOEzYzLqcBKxqmhdWa1Aul9Ix5YzTyo8YnZdDkw9FgKmjzrVrfWu01q+NZg67rcLB1RAQmQmU/p4C8sYJVMPReluS2xWuG7vr+55pm1WiSFQA1cUQhpW82ZgChvyMM76WNhz87R6Mbbd4KKzxZscjjmWDtMgNQO02E+g8T+Dy3fWMNccX9hL5XZmN5TLj686DU4O8VRVltX0QmyCmi+8B4+acZ4VQwvojIG0beCdKLEfMpQU4JAqBcFaCrKFOnTuSTJrdhFvT3RoEPWixgc44unbd31Ji5TgEERfHCmdB/0LGoKWCeCfHIiEel/26+0URrulE2dnwibL8WzFvC+Y2AQRjeV/T3BcePErCfkU+dIYPmEBzUmTe8VcO14csj6hAx7TetWEWiErThqxPyvsPTpz3KQM1tuW40Ka9RE/yagPq9Mza7CedzQjlFABHzVgtE6SDgqj9fBkvGv9EC9lrDK4ZG86T7yXylf5aNtkdqDKQkGF9gYQ1UIJwJ3YOOaUm6d40vtA1QOBLiWQsB060mmJuvqZlY6TxDY/hx0Ri7JmC+0r7C820FCtB9CAoqPQbUTHhkwf120M4Qs+5xtM24vT3g6dcDPvrnM04vI97/rWD3YUjwozIMquVZICBMOg/LAJxeKiAz75a1AOj1511F/zYoc/g5G+8veP3eSS7PFThXCDkFQ8tE0Rr1ul6FRyCVujoUSHUgq+qDMDf96/J7qidty5a5IaOSlk2pVdwma1zPBLFgiEq1pNuQwq06kJXkFBrCdGPW+jut6HhllCcgsVWiTgQx2F8rwNKqllpVJO0N2QLeZXJe0GGcitRQN9OGuDGEt4yYlaZWh6R9EY950eR6clGhfbWY9WlawgyneK8STu2/xQtlGNBE1QoIZM3gpWNUMuQ5Vw36xALX7WD3o4GgXl8EZV4Mb4DLnqQepHoy1CgvFZIBFr2u4kGZJwQCs9VfLfKq36ei9BOGVaBEGpqq/YDLRWHEEUkqGc1JOjAEUVsJZdWe4myoYAgALcuDsoDOBSm7EyW1IgSAZhSyfq3NplRLCDhV2/vcKtU7tGfZxqxNllXCd5Ek1YvDrP04LclS3nAzc1A9DWG6gf17seQvvdK/3EQBou0tqvUM5Wy6QoaipcxAMUfhtelUWAXVIg0NwsVzEGC29REIAgbZLiYpqhHBKhFsCeQzWq1emA4oeasiM4q7uJaLB0JLEA8s6K5fs42vBAbFeEmJXt/X+v0uBl8uW2wBpvPMytIggogxW0TnA4sG9/Got+Auq60txWzoY0Y7aD3o0Tm9SrAdmSbSgo0jd4GVWdG0iQKIXWdgoC5jRbP2m+RMjebYEAZ4EQeNErU8B33rpoNlQmCGnG2PbgZ/S3Hwoh2aXYvYtbSkz9BEICqq6ygFEepG5QUe8OatBsO1A6Y9NQqZJwOUPdhSbwjVfNqeFzQhpdH6+jqyacmi5Lqs2bQUYpszva91c1eG7bOe0Os34yVqvSoOXZhIETXTnotWSq7prbIkns/bfjlVHmiSihZMu17b95H1/PU1434RTEtiuXL2v2gzRy7bsWQe2le+9rHRTzlr8CWCNs/1fvXZ+LxqDIVWnMTly4uzXnBy9N3dzl3mU7T3vOQC6jvV4q8Se3/Fk0C6FbJvczKcCRTd7dZZE7q/ewGqRiza2Mk0Yl4/6lfz25J7tgSz9pr0geysjat4B5YEwt37qa27lugm3TfmK6MnsmrkwJ5sqxliGKnNe8oEqoy4sWsd7XnYV01sBRAfAy3EA0A8L4Wi0nFbFwwtGl0YVVmyDGDZv63IXiq3YJ4nQyTNyXnexTaW6yICGq1VUeB0NFZFsAJS0PGqzGbIgzbu3hOVsiHYvDg+074HP2vF4y9nphQDQ/x+3OzJUepwkiVWY6OahmU/DGcgfeDLOWzxJOrCcnTk0Ivi7GsCaPFnQ+iZzE9D405ktL1ZCE1+8PyMymPE45dbPGXVb3pP36UYB9TOQICjjtHh4wCeA8pgcw6C+akDTdzmOc16pgirfwPPWjjy4lXpCPMVMN1WUOE2NlrgAMIjQ86qSw5njf9PHwvcwMpjcKXyAk8/1DUwvc6gbcaY9eyvvSBvdR0fvsc4v7C58a7T2MaKMXmn8aK2ahJMV4z5Z/sVRdb3JML4Anj/t/fG7NBYOYxo57D/rJ8v8bMBuW7ASUBRc4ZsWtr5Sp9x6f05arK/NhzTPti6B3YPSt8+vFDks2wrJGknCZp8T1DmRTPzs2Kayi/RWLU8W/unk5jZFtkepfPJOyVctCKzwp3nLlT0WZHNyXbmi/5wqYxSWAsdI4C7hA9yhRCA+58mLQY8WVKbpIGdeafvnR50f4wHwHvkcgZyFS2mV6C7U/lUmAjzVUA4WdGgw1/p9fsnuVNGeJgRzsGCNEYwVzwA4FG56Ro868OYr2NbaEKiiRIpdXje6Simg+pxeCxLmxurNNeXO62ocViq1UZ7DqcZqBX5ZoO8i4inDH6YdI9irfIdX6tdur/yFpjeZKCroCAg0l5nmFiNmoL2p0xP+iA0VmFwVqMSEGHue4iZZ13QBpshx7Lx1E6pya4NBixJJijq00ULuNRgJ78YkHcBfQXiyXbzdVsNEQ0uOjMVsuCmQseceKG6eL9DngrgJiS9BYJjVlOJvaKEgdVZka2SrlRBtdsPj2fwOKPuN6hDatdBuSLcn0DT3PoBu2YYRNpXsQUkAs4Lva+ayzUAOFWM52UzB9AOVi5iNHgLugshHoomudaWQI3IElwn1YxW5ozW7iMygEGTgrsHyNMB1HWg3fZi8dOUEe8VhpAu6lgHdYxczz9JrJpYYElanR7MUFpYFZDTE53OZqZJ5IGrU4LXSZWjisDSf9gp7R5k2BqUSJh2hLzVgChvlfKSr6s6Gyad6/kQEZ4YPAHlyUwNbOOUQStq4Vz1IBJeWsLMZaHtAmgUfQA0WsujoWu6dE+Y1RXWekgmNTyDUXPRJXWjtLYrSsM9XyJQYUmUvJAEM1SSoVO6aUNYVwG+X2MXW9svKrouWh9iZz5EQIZuodg9T66fU0ONwiwiihiRHgpgBp0nsPkGAIDUADbTJC/GLdVcIPfL3F++dD/tHpXGF055MVfKhn77y5PseVYtbghLwl6KJruTfo9iBPXpYozCOSPUCWCVBRRHN5wpM9cW4PrzXg4+K6z1AChADozuSY+YOhhTZOUW3NaA/z6RIcuyrN9drwlXNFMY69spibVYmUgRuE5pZPPeqtbXYsG7BRCTVrzVKEYDAE0seUG5MsDnaWGlWHGmJlbWkLf7sUSWcl0M49wbYr9d1j+s2hy7JRkQIDyezYiOl73wO4ojzd2dARQs7dp8uPsEGRSJbc/QCzdJzxJiqA4aum81Fo+bYlkyr14FDJTcjNVQnjE1cllae7ExLAwtxZzB54p6NUCuOngrIWp6ao2QWq/HZ/u5JmB2nUS2X9KSjFj7Li8etH7nRAt1OxfQNKPeP6CeTuCrK9AwoMlOVkl9fz9DqEceqF2LUnv1H/1dRTpWY05oQpo3GkCrgRMQZ2tXl5f5UjbcdLreRcIN4vImgHpGPBaEc0YJpGtCYGyoJQ5oz9iC/tJpSw3tzwnkXUXdCOKrE1IquN6eMcSM372/wfnDANdcIhNqz+ARuPot0H/I2tJna2hgT4bmWaIzVQMWKrpghjwb/fkwVcRjVfsC18aRrQ+nLLtfBaDvUwScKsqg5m/B2n6UTs+o8YYx77QtyfZrpeXXQOrIbCgyT4L+wwwJhOl6lRRX1SfmYdENcxaE46wFKVu/ZYh6vwyUIYFyQnrKiI/jRVKphpUVkIgCS1J9i7f3Tw8z4uNo50hE6QOmvbJHPOlJT2qe6bRxT4C9eFmGJblt2lwrCHlSXr2OVsRiL9Ptr8ZwzZSsfVwKh6sXPQVcfROxeSuYrjWBq1GLIVKgbVmCIDwx0oMWkB5/YgUP0+WCgPjedLymb+UTQ4KZn11XpCfG7gs1gTu96bSg/kKQPjliKlvIF1740GQlHawAY4nstAfmPzgjdRnl/QbhsBiRzdcC/OSAYZhxnTICV7wfdjhdu7RRx/1xr8h29zZg9xtuyVQN+h7CQPeoMe3xTcDTj/Rcvfo1GlsDUBOkx59lUGakOwaPhPSI5ruibEIrdGXgo39esf3NEYcfbfH0PS0OjC/E0HYtKsVHNbpTmvjFI1Kzrah06+tfF5xvA+aXFfxixHaY0acZd/c74Ot+ee4CK2jpmFZDcGdri9R/0DY/8az72HgTTGZh9HDovOODnX11SXAl6BpkS+77DybN6LCw5ES31SKEPAcMB0XAJQTkB0beCu7+JCM8RFz/Uj9rutE9bL4STPuK9EC4+kKT8M27gnAuzfh3vAnIO20NevNnE9LjhNMnG5xfBNVO94TyHGT4C17/XloIUVnMEkjqRQDkQZrrAmUVADzXD7hOwau0rfl75KXoy6wH34qOuka7tHKugVCwzdqpco1eZHQkFcGLis23GSFWdL0uolPsMHNCAVDOesjnDUBiDZpJINO3B1ksEWnJh9/XxQ/5wHnVZEFNXEOpTdgNNbOquI+ZQnBWYrWEQC3WBQRaWsHIsyDfzZ4EWFf7JSjNjDOwaAc90Fhdd8UFwtGSjZVmGo5MP0fS1ugBA5hlCeKeTVavkAsTalEcB6uP8J9p1U6bY5xFqU7lMqjxsWlooH01tKghSWH5YsbFU5tdtEqadFXWAZlxOQdX1VhZGZgpVZ/AytW25yttnvj3lxu1hPb586Ml+AbQkt615tPp1Gur/bJR50JcZYRU0fUzQqg4hh45JPCZm+FCHhbTiWD316rzzpEOBIFRLuuzINIQck9wZVVcURprWBgHQRMbYlkYBu25kdIN/f4bIrYao+9CU/05PH+1gN1+NDJakT4DRKJMDAvghVbI6Io+vixgLNdh1GtZ/59fj9O8bV5yx6hL8+8W6IgQ2LavC7M8C+jWuvIlSVB/gyXxfnbPdXk+67YublIiIhdmWtpGo7af4Zma5s3HUE3tVAZwiQYuScti7rdoVte2/0IABbqY38IMer4XiCyP3d87Lq09vMdo7TR4KL3N9X0BVgcynbT/OmXVQim1SxPeamgXZVl6y35X2yXTnov1ZQYAFJUQOI1e3Eth5e7uXgoIpEB6CKC4MhBcMw/8vb6DiNBevP492z+cFu7r0+jSWveKl2uHtRDnyCz5ILVBp+V+v/XZz5gb6zUoouvOp3Z7hrZ86tKSZ73NAXautG3E5rnLPZgW93KRhqxJNRp3KUshVUTXYtdpESdoe7HmkO7XNGuf7PDsFsOoe3EzpbHxXua1FlhBZnYTbdRnWgWJdIFcMQHu1eC6STd0We9Tzl5y3btEpywbctGv9vJdBYaC3WbC0M246c8YQsbTrsddYdRiztHBiqjZ+k5u1KjHNb7+LJQZJmaAk5ZxMl8LbbmySKpcwwfosdiMHddSni6YtpbwrWJj0MQQgtYqxb1a1km+I/v+mX69yobAqoUfLDkk3V95eZMLc8N1TGSmoG2eRVvbZPstLc99mSAaY1ZnxPktiSj7ZfWsNemlZQ+3+eDv3xBBJk0eyuq9ihbD9Z5XHhSr6xdc3mMr5K8YZemRGxuOitHLAyFDbH5pYQJiiGBQ+rBLmVR24MZJ9uWJENnv2cflnV7nvNVYWQjIc4B7pei9ATBtJ09mOLXRZLCeAyZro1k7X/ta0LnZTNj2E7ZpRqCKcsV4ZEHJjDxG3d5S1bnsi9pQU72XJRacd4zaL8+Vs9Ksw0QoE8AdUKw456imm+iCNC7Qc0dAARivGeHVoJLEszTqsc7t1d7RCher+US23m3vqCaDoJFQjhEjbFudAuJM7XdgAFAY0fahmqgxL/JGdeJhpkZLbsZ1HvYyIfd6hDhzNkxo11+NcRBGLL2RyeLtTKhTwHHsUAorOl0WFhrPBBnVE6BaAah0S96lhmTKAAgzGv1e0WOxVoYKjkpUFkM2l2n4GlsBh3/Z6/dOcmsMiJMiC97ipLXyIUI46/fyvsN0HdvE8o0cUSt1YVJtpy/+/t0ZNGXUTULe94CozhZ1MemQPlxWzRNj3usG3b89gb8+aeCRwhIMRUO2rgTzbUH34oxNl3GzOWOTZvxo9wG36YhfPH2E39zf4DR2OPc9MDIkRIQTobsX9A8AZ16QNVENjiRG2Wk7CMpmrmAN36lURY0ISstje7C8BN5Kq1G6l6NfQlCaj2+8aUV39sq2fR5913P3pA6Aty7ywKv2AXkIKj53StYqYdLPtw2qVuC0aNeQ9LmEx1Gfu+nTpE9ACg3laKYgrhUDtCXFOCky19uhahW57kGf77wPOJshjwccmsiiVUbDDISTIlxeOVYXv1USVUTZACtDJ5ozYPpiGN0NQ6/tYAAs3GL75+EE2kZIVB2yBLlICKRfEEYuFTWwanzYKaiKiNJZgPUccZqYidKVeq+FnEaLzKsArRQds+3G6IgeBHCbM/NOka28IZSNiv3zmxndbsIff/I1rtMZnw73uAojfn16id8cbvH2uMX7L29AZ4ZwQDqQVgPvi25Qm9iKWdpH2qhLcwE5AuNavi62QpfrsqrTlQVgC7J1Mw2gFLRwZQWpNtcYQN8Z5b4uCaNrq0Nc5rc/p9wi5Tbvl+eJRtd04xIAqnlMRle1+QIyAzWysXf9h4gmYuugbdXyiJ4nR07zNERXTX0IHNg0KtwKIy1oZLQg0jWk36JxilPd+TIBt+IBOeomFTI/u6bAqtOtRZHndWuVuYBHRc956lBzp/uABYrV9lyaPaAgC4xtz7BD1PV39apbqJClLkEak7ECjFVi6KxYjtbovNX3LX2WNSiCu5wjgnkHTNeEeS+YbyrkKuOH33uPq27EbXdCHzJ+ef8aX99fYTx0iF93qKMGPrVTVCmeCaFjOLrJ59yeJc96LXWTANY2XCACNqmtYUf7ilFSuSjVuCXMgVF7Y6rsEuomgk9ZkWNmVDMQvEgG1tMI+h7kdGlmSB9Vn8y0aAZNLlM2qbXT87UXT6W1bavWVikcZysaV1y0B/I/gaZx1aTXEn1POteJsCWcPBdUMfMsC75VL8mtWNvorVYQaRpcS4Yv7j0FlKteqfQHlZPItod0DHo4qU/EirbPL2/hRUJh0rZhD4+QutCWwzGDwwyenKmgc9yNMz3gdApj8xSpahgHqAnNtGczTNIxVgkUoVgwR4UaFXtzzAhjUYO0qwjKi9bdE2M3cSpDwvlWA7v5Ss16pltB3VbQ9YSXtwfsuhk/uLrDJsyIXBBI8PHmAfUN46vzHr9690p1gk8DKBPOLwl5iCaz0rMzHXR+l4GRO0Wrp73qf69+l8GztX4aLKklRVqmnSGXZlgVzkCyVpHNRGdzyZKAaHxUg45bHgjdQQ25aiJM1/osHOEMp4p4KshDwPhCkcRgulufP/Go5klqQKTB8HStczNMFeFkSXZFa1/pErO8S+3zhB0lJsRjbWipU5JrpwnxfBUxX5nsoIrR0VXrrLR31R3mfkH7hC259Okn+vd00Fhl3iitVgjorDtEOCtYNF/pnpEeC9Lj0u1BR36hd0tkYCqg4wjK5/Yztz8XTJ8Cx08I3QOw/3XV53etRY9TYOSuLAl3FNTXM8AC+rJHnNSkbfO2WrFDf+/wfYJslYbKo67jDz/TNjaqWdU4rX4xgGeojrTJbqxV3aHi4ccBx5/OoImx+bMOVIHTDwr45QQOBSkVXKWM710/YAgzvrfRuAUvgALGLx7f4F/8+Q8gmUFJn2vtdW3WXpB3KkG4+YWyQ5++F/DwB7C5o235+vuCeCyoMYInQjkS4iFCoib8NQi6B8Hud6O5fDMef9jh6Y8Lwjbjm6sImhi7XzP2v1bK9rzVQmU46bhOt4LxVUV8IgxvnWLscazSvmsETi80htr9Rn0pptuE82ZAOlEz2pIIoOoYdk9iDCZqiWiNgvGVosPyC8bma80inVXQf1DpUxkIx08J6YFaS7HNN2qCNb4izNeC9EgY3okV1/Tz1SeEkSXiDldAJpzfVHj7NaUYE7o/D6i9toaqntgGoA4VNBTIY4fOGLunVxElacvZ/oPO863FF8c3ERISjp8QxheC9EDYfC3AGX+l1783JJdy1cq5OIIrLTlx3YBqSqyCJR5wwv4BoyaZFsipYJuEar0rq70vTxZ4Fga5zt7ea6n2iVJmiczNVj+v2qZTA0BDwYv9EV0ouB1O2MYJP9h8wIt4wPt5h/fdFiKEqY+osApXXVdXLVjwwNzvKUI39UZVxtImwA5TtMnth4VdNusiWvR55kC4dkr2A5yAps0t8q3gYHnTVZX84j18EzeTCmCFPqIhzGSbaDOZEqUlCHOj1QnC5fWFsCQcnmzSMh76p1URHR2wcSJ3P+1ZtVCriqm71WmGiyXItHmmyTs0EVlXcNtkXf2fI8nW07MFbSLA80CrtUMIF+PY7tmrrWJluYCL8V10DjruiNCfw6p4QWYs5aiPJY1rh2MALeBSEy1p96wXhlb5V8MSrYrGIWO3GfGjrRZxftS/wzWfEKiCrTJyt9mhSkTtGSWblpcWhgFg803Q6I6ohmS5Vs4SWNeZ15XWXJFc0jYFNm8FokmXmbUgr8adbG1UMrptvXx+/B3zyZHg76AYNzTNWCUe/LOw6T3ZtiJrveR64TXitp5HjQ1hxa5avzUv1n/3ntFe/NIKv6KiSgOzee1vQViC/tX/rT9/rbH0dlHfutZnif66fZKUClm5iCvdVZNkCUX3YdZn4Gt0rVUTWQp03o6qFaXY9ke/fk9wqxg6RiBbE033xpblylIQu1iL7Huef+bKnKcDZKhImxmf7B7wojvik/4BV+GMsUScc8RdJZQugar6MdQZ7fc5aqINVNPhXo5faxvnhUAdBWNYXBZO2nr+FuqPZsp1oVd/hsg+ZyK0fcH2fndAbs/bpblgSK0L2rZC1uqsxlE1WJFUfL7U5oqsFGE0avBa7+2fr+7034Hy+rUW0X3c81hZ5rGIPWtZzSMsqDdg872u9hzS61m7r7d5L7JIBVyrHMK3Hd+fX6PRulsBWgCpANt69xY3fjZfoHbm0o1B55AW/exanUjmvh0QiBVl3QxSi5EErss5UtfnlWjs5Gwcvw5JAknKNrvdnLFLE173T+hXLl49ZwwmUP2iu0YpjClAkbdI2kvUWyetECU/p0pSZG1pr+MtO7RQ6edKuyZfi1VRo9a6BMZ2ZxjNsy7xkZ2HWhAz+i0FTQwAKxjIolsEWpsY/f9VUVOktUcpncVN0a4LbP1RlznnvbwlUjvLuKwKdol0Kbr+X3QCOhJWrSUMVUOZ/DwUTeo86fQ5v1zns+KNJZVNd+2SJr3FFj97rNrWxfN93fZZ/4znhdZ4FMyieyOgjtC1ANoancwBf0EehQBO6sMi5o/h5p5e5NECsD0bQxS1EK5/5o0mM47SNVTQ5oJTtcOsez5vMmqNCKMaGwkJUpfRpYyrYUQXCjrO6LjgOp7xOj0iUUGigrt5044zImnxjyRL+HoBZS3apEMFWOnEPAvY3Y1bn3d7JpaMVwHQ5EPuSUAIbEVnFoRYwNfaTSS/3a7YO7qfeE/bee+HIhbDJ/gaQGsf6VR276TQTNXmhc3p5m3OYgB0fKutc6dJSycAces0omentGQ0k/8OGntMZQh2XkS79wKLtXGxHigTMOvg141JU45sY6pFnJm1KFL71YG2WhheXCmd3rvS/q1wNmpyPe1YEf9Bqd0x0vO3+Utfv3eSG85ZK7bRqtpFN3I+ZUWXIiMPqu2qUQeIC3RTHKVpQWqiphWhyuDcI5wDyhBNswgwOcIV1LVuygjjjLLrMd1qVS5MenjVPgKvr83kSVG1eUdGpRDUoaLbTvje1T1edCf8bPcVrsIZf9h9jVs+4kPe4TeHW0zFT7ll8nssmjeE88c9KGuV3I0W3PHWewgCAFi1IbJL1mTck0nf2H3DcnTXDBDgB6GjJZcHtieSVOqCpltwQs0oJUB6peGJbd5uDgPAqvvcdCtusKGV1WATsUM4C7r3Z6N6FfA8LwG8SKNJuxmOMIO6tNDU6+p7Q9KvPqFsI1AE4TjpNRodyE1ualQXPT9AOS+HlmpuGGLJEedVYcGMy1AFMkTIEJvuUqQD9ht9ZofThdbNHXulrhAu5oXGXEwvbW6GEgxJqUWD4+f0LNscaiRgMIO2qWog6NSRQHoKCDfqV/vsoC7hay0oVVEU1TfVVuwBlp6EyliotzO+/+oeP9p/wP/2xf+Ej8ITetLK/2044iac0HPGF497HGlA7SLEHPnyhsARIKF26DftT4GiSYO2yVEDjoW+pAiAm47o5poBsCU+quFSh0uqAoy5oUnfSlSbmzNDNka/fNYfUwNeMTOasATlpOZoqvvmFqiIoaVhFDNoAardW4BesyDCDW0uksU1uhzDYnCTp8ufWycj5ijd1jSh6c7yQM211AsiwHKgSQBya3kDCBdzrcxwXXJz4Qa0DVVzUH4W5OesiYE7iq+j3VyAYAZeTOBp5cYbCBi0Z6XA6ZlLEachuJbwlY4gnJQGNaoHAIomNaiifWnXY1Vt4cISQWOqaBFP9ZGt5UHSdlilU2ZO7QX5uuD2o0d8dPWE/+jm13gdH/FH/Ze45TMCBOcSEbjiy0MHiQH1PtheZ3uJXTcSowAg0xoiW0QCWgqTTg+sdr+dFQutSFiv9GjV1jPS5jvB2DLRzoPIF0m82FpS0xyd800ikpRJ0ujSoh4UEhlliBfPuSTTwa8efdkElCHA2/YhEvIugqp5FloBRnv+iPoXiCxaYPv8izNozi0Blr7T/TFXcK1IWRkX0rG629re4ftCo+V70DuRypTGshQyG8qrBl+ycT39yhMgxoXm3gpfq6CKCdgMypB5tG8PEdhG04raGejnsQe1FUsR2taqaviXwqImPmgJWu7155XeKC0Z4mKFHfcmKLqeZpsnfha7cZW7F6/jDp60wFAroQ8Zb/on/N2rP8eWR8wSUYRQwSiiX1/t93gXt/jdbkCpoQW3jSJclLpJG27FszgK6L1+TwNObmvbpSyAJSvZ9ITP9hePj0pHKACGsSI95qXwQsBwpwU/1ycDQBjsedvY63mpazR4C5q9Xk+YdH+u1iFDtYZGNTckGELgWdeAFwyLUSK1PZOyCPmx2Jms6zCMtSHuebtax1XngQfiOS0F4MUscJXIENQt1xKJEgjxoOgbsCQR/jzSUbXHJTGytUwa3mfryGFJei6N+dJimbjEDLIbUFcu4tOeVdP8Xv/v8JFSSMPZkohIyI9LwYozMN8nIAhoEExdQdkwjp8yeFIjI2FLZKOgbDVOCCMhHnQtTDcC6QXpq4D+zijJWxu7QZfm+QUjb4zWnBkIgtMnumbj7YT99ozAFYEEUwn48/sX2KSM//T2V/i7mz/DLBFnSfgsvQZzRSWGFBuDbcG5q0Bf0e0mzFcJT9/vMe2V7qomhBrL1KDtenjHePwxY3wpEK5oxnJnlSIcPgmY9rtWyJ2vCPFdwvwUIUMBoqDeVLz/G4yaBHmryGYYVSqw+61g/5kWmaY9bJ7ptXSPgBz12g4/0OcczrpW+w9A+o22Tjp+suQTVAinovlM2XhhSgwUAXa/CQhn4PYXE7r/+QuAP8WHv24FAVsP3b2oo7XNk5qA80uNHVVbrqDg4fsaG6UDkA6E80vBfK05FG0yQNC+3AKULqLMBMoB4azmY2VfABYMv01Ij1AmS68mhNMVA6Ia25qAwyeM48c90pNg91W23BConaLuYdLWhHlHKM/jmr/g9XsnuTQXoFeTEs4aNGkvQa0e5CEs/QtZB0/sYPN2K364qImImoNEMzypXnHDEg85/YSmqr1Ntx1qbxWQx6rV2cTIbmFPar6Qe7LBFEgSbPoZb4YnfNI/4G9vPseez/h+eMKWgNfxCX1Qfa5+KLXqm9OsSiLUfTA+/0KDuRgfgQXDhLqLZl5BS6ub6hVLWmm3ZEH//OBdB7Dr9/a/W2siRKASg+ABS125mtZWiZO06NpIC1SqmyBPlqxX7UojkzpBPEQwtG3JujdoqyB6AlBh9GReoU2iWlwRTTqSFjHyLoDHivThpMH5bgAFN2PSYKx2piOyCicVMpR3VV0ty2EGaCLJRjtaHD+XwBSsBibRzI10IEmDp5yxQDkwkxi716LzDiFo4uwoHqCBjJ8Zzyq5wkqP1H6LBFy00SAg0sVj9spsS+LWX8aIeP5qbAWr5pVB0G0V2fqj3df4u/0dXocdilRUCIp8QAHhsQzY9RPmOSKzB2+q2YhYKooSSRMVc+uVxCiJLdBemAe+cbm+N0yec6l7aJhqQ7lqUDS4JZYBy336QHpC5MZsc0HrweroO3CRNDX5BBOq7UOtiBMWxIGqFjGatpsAmVYoOYyt4ZRQQ03XLYiU6UBAzhCnNFuS60jvhZYTS1Llia5TwRQJsMTL6x2235AQuHPUe4VsPTM7Wwf9tB5LEUgViCcn3i7LP6ZWINKiEfVCgogmCVjtCc5GsSpvSwwM6QE0sCMztmHUltCR4CIRWVBbrND2VWGvGioqVmBJSuX0w7FGgLYZn14/4Pvbe/y1/iu8iQ/4k3TEi7DFZ/2X+NPhY5xLwjebPUolVOt3ebF+/PkkXnSks1zq34zdoPcA3XNNq+hj4uedmi5qghsPWfcBl20YddNb3gFo8hUGdB4JtefTil9htQesXKhVJwhD0KlpwBoalryoA5B5Hkiyc3MMkOrjC1w4cWdLKN1kyufTyhxPuqTdDOAJKNRci4FCvbKBLPEAuWYMTfvqRpWhzSNLnCFLAZeoGcvRWFrBdNFKWwLpqMvqRV138X81MqRn5OGSbnzBRLBzvrFZeBnLxqxg1b5la9VWk/5fGJdWVU1TjyWZdb2ldxRohcHWfxft/5dWXgDNekAPYcY+nfGT9BZ7PuMsEbNEHKTDuXY4xh6v+gOqEL7oC+rEkPPiXK/FemlaSTaarJvr+DwtwZN+NJQUVRE6QBGYtYZ2PW41ohXrwjlbYqlgRDyUVsihuSAk144uqL5EQ7hh5wJRawXjUqXca6JUE7Uex97SpkalSbb3g95ThSa4xXrpNgTU0Dwuek3UhYWZYe2sYO2DqmuK8ez+sYyXo23V5gWsqBNP1sljc+k6HEbtdytXHbL1Fh6OGeFxVDlUCroWrJ0aihWDYlDteafyhbrqnZY3QCoAH5SeOl8rvTg9qfN0f8dIR9PRbjUuCSc1KJKhAEmQr7KGKqeA7l1oyKwEoLCAEiyh8+emjAOeA7oHUTfwDQzAsf3fGZGdaAGfgXKrBdvr7YhtmhWZBTDNCU/HAXM/4yYc8AfxiEch3NUOV2FUliSJ9jMXAvUFvKvouoyb3QmPacD4ooO3huLZYnnRa8ob3QPHF4Ly8QiIxmEYA+IxgAowXQPzfhWTk7YxCifCfAPUoaJuK85b22OCgCZu7vfDh4rtlyOOn/Y4v9T/i2dbd5NOzjwQ5hdFz/2HAJ6Aq98Au99NmHe9JovQsUYR5JmbrtqRei0YEoa3guGuYvObR+QvvkT86AWobDTGtD0unRTdzhvG+YVS5qcX6t3S3THik6Kn817lDdsvdN84v1bkFl1FSBXEFV2n13YmoEyMYu3YykaUmixqyLb5Rsw7Q5+Ba2wdic579RwYviHsvkIr8NdkRYEnK2wNTcL+73z9/nTltQNsra1VjAym6+Fl0y7J7PTnpUrq1BIxfnqYFupp25CtGh7MuVgDhKBOrFWTl/ikqFY4ZVCpqgWMWlmvnaI3YQLAZn5hc3ETZtyEE74f7rHljEkYZyEkyngzPCFXxvu0w5zZqNR6jfFshxbBUDwL2M3Zloram9dAmPexUXt8gjXjB/LExg5aQ80avRt6uLFYlVc6KJ1Kd0fVSAq4cmsv5OYwekEaEIQV7VcdIq3Sz2iBtvjfkx/eeq3+qlHRADcS4twttHLAkoAls2v9dp2SZ68L6leu2my+Qp2bh4jx9QZ5FxSlMbH5eGuHXrf0XfNqdJ3cpIHBRSuX2ruPQf2qUk6rJN7HRgDZ9BrAOSo9WSJb1lmoJcceKDFrwFdxUW1whNCpsC1QcmROlMJWC+nlVO81bJ8hi853PV7kgZy35WG+OFwlLvP8+YtZMFhUcl8FAUewPYNHSbgrO9yXDcY5omRNQp+3smktHtxF2oP0eDmPhIHsdLVOkxBF3O0gZwtsvV3YRZLUg3t3cTSGgiVDtEJuaVa5wqXLMgGrZ+NIbvVijiM8hEa9y5aUl2R7ghUOwqSFGS4VNFnxbiKQOanrcxZQCUBZJRu1wg2oLgx61mwHUCsu6SFPDY0onVaIdaxoFWQvQQtVAQ/ckqlAix7/Ivj3OeNzFViSysAg13t7ke3s8yhibYLkbraNSiyyoF6BDIC9HNs274GLQkyj49v+ROyMk2xa06DJuqhkoWmvnUrZa5FA56M5+JMyBKgCUghzDTiVhHflCgDwpyjYlxM+n3+IqUaUymASFJePrNfns2Dd3a9rp871ZVA9ta+7bEipF2jXr/Z+lgiTQJN3WJIbtMjVipye/JtDbdPz+nMAGiVZP0DavILtGVzt/IEmiDWs6KN2j67/il6otTYN9cSgwssDdBS9Amwtw7StmhcjHHG3n18hvC5dqF00pk1ANb2nt7JolFhrkQXyYo8A6FU3aoXyCkBMj9wkMFFbmFCpbd0/T2zbGJWqRcu6CouCeiQ0N9u0rEmdt3pdpadW/AWAysB4Hdp4hrPFK/bWaqwl1tNa9xM2JL+GlbGS/b9+GBbPAi8UOSUUaM6pZRDUTUUKFY/zgFNJuOUTXoYZh5oxSsBUAu4k4Vg7PM49nqYecg4IJ27XuP6chjxWT6gNRQ2G7jg1mRf6NhUAJyvCWeuSMhAmLxg5LhD1rM0DY3rRt+I5RCVnPFc9PzbJCgO1rafn/gRr92JUN7GxAle6LCxLBLL9Xt4Fix1hdOIK9s4fluhX75AAY4kE7crgjLqmIxdpBdy1eU9JaMURYU0Yp+tVrMFmrpRE/6OyUU1tjtk6nfYBQltlAljCXYcAUG+sSNJ+1Ma4oCfToodk+ndeCkT22n1ZUF7r51MVxCc9L6a9nk3TtYEZZsJaO6ipmZv2ZQIygycGn80hGMB8VVH7Cu8HLFHUYIiBcGRUY9TlQd3A570s68PQubYOHrW3vSRRRPfUoQrh1e6I7+3ukYXxcnPEEGY81g3+xfQKBYRZIp5Kj5QKqpmtiZ2bdWZkChjniFoJZRDMBWoaO/rz1PniMUo8APiqR74uGF6dMMWI0gUICWqv45MeGf2dxsJqRAvEA0HOQY881udch2qmXZovzFvG4fsDSgcM76UVtPNmSZzz1XIm+Xp8+gHh+EkPYWDzeUTeCfIPRnCsmLlHPTB41mtoa9uMxvJAuPuTF8Df/k8wXSvAIiyYrwl5p90IwpmRd8D4UudN/1aR69aWLAF5X/WZRS1E1QCEg7GdNoIYK64GHdTzOQGZ7fPtOWddC+c32spIC0nKcgim5/Y9rnsA4pdaaJv2wfYfWuJQi0V5BuRSov4Xvn7/JLfWBT3IFXQa9eDbpKWyTLrh1A6A0Uy4mDAalogaFShM0pqJNzpT1k0xHCY9iDZRdUWDVb3nivQwYd2aRQIrL9/t8smoOBXgiTUwIsFNPOF1fMBPU8VAHf7NVPF1uUKigh9t3gMAvhr2eCxGM521Etc9lobAOMce0ES09tQSudITDh8rFSAd1NbbF9dab0fN5cnG1cbMqVwiaMGCBl62MI9kSIFVuq2wsA65aJyAs4BS1LYTgOouO25Un3XvL6cGr90XSbRIkTcMTgRslcYcD1lpxt6eB7AEjBRln+YlISTSVirtMNRAIJy04j/vO0gkHD5NGG+pfW7eAOc32i8s3SsNQjcPHfs6aoEgF6dVKCWoEgEUW8C6HltFaDQxqLu+BURUBNr30frArl+OfFnrjJasX6CHdNFnrwXKK2fIpnOoap5AkcxwRAM1p4guDspQza85O7qOr2naoUWL0q+S3OWcA3PFJqgr4Zdli7OM2FJBIuCuXON9vsLdbEluYcBQYBA1mpavWWVrGIIb2cylFkRSWOeJV9+82l1sjSTWSipZYtncKwW2lqIahoxWAncEsULR/bkYFZeWL0eXDIlSurYmJL5eFn3fcq3zdkkond7ma7yLuq7Cuaj5Eyy59oKNIbnEGojLNKM5MYewJIrrueNfdj1iwVvuyfQmavbg6xGiRZ0ywCQR0vRTpQuI3mLDKZ7FacF2HTFefr7NUU1W7PpYgy482I/1Br/URfogzvwwyilbf2wpXjzghbZnxYy1tmfRyWMJdC3h41zVhC4XSNwoIj4X8DgvY82MfNUp1bYq0iKTul2SUGt5hUIYc8QxJ7yd9zjWDl/mGwRUfHZ+jUPukIW18m+I0VrntO4B6Mi9BJO77CLGG0Ux4tFYSlvWuc5+ECs19VIrZOeZFeHckE0ICN56ZhWYetudZgRlc3bN4vF2V+3l3Q24AhyVumdjV5IWThbjN9fZGeWy1+uOR00GiAhMun7qYIiDPRM/613PCmDZz+0axQojNTGmm67NcQmEcU8YXyx7FgTapi6LtoOwfXHeqDZvuCua+JgEgnNF8NZpSdvlcRFFtJ738PU5bwmujBNkZbAmTNpqbsrI1z3OL1N7joAlQMHW5NbZKDp2462uyfQg6B+k7emq71wSZP/Tk1mn6jp9HULaI54JMF2c/77rYMUYVWUjqLuCcKWu+PfnAadtwusw49OwxQc64Swz7mrBLAGPZcCHcYv70wA+BcQTtGWjL3v3tvDx8kJcUURRtqz32a9msie5GQB0TEoHYw3pPOOsVFjvqAECpitAQjSdXlG0eNQ2f/XFFvkq2RwsVnhZMW5Yz5DxxubApGM0by2ebMUbLDRpQ01nQ7h4JHT3ro8kRIupvHtHHlZFRGMrlW28oPs3Wv1U1b+80w2jJjvv2Nkdqr88fqrPPh71uqebirqpqFF7eseTolreuqVG4HyrrVPCGRjui9IytwHYhnbWUxbULiCMBfFwBkqFhIC6SRq75Mu94eqX9zjsNhhvAuJZEI8VpSec3uj4jS8UgaRZabV1qEi3ZzALxocemBnxMSA9qoFaerTEJQqwKcp4mrklbRCltMpJ7zvvCPOVoLyYgUqQpwDOmnRS1r27f0conWB+od0J5qcO8ynhZnPGH199hW0YsbXKxIe8w/9r+hkGntHzjLu8xaZT1Hc8J5TCqLNeUwYwdhrT1G3FHBj8jpBOq/2elpY63T0wvCc8/CHjk9sH3J8G3L3vdR99NSNtZtRxi+5OKdilJ6P9Kvgl5oHiBR93Pw6j9m0/fkJIj4KrLwtKx7j7Q0a+El1DaUnyYWAahHD8wwlXL48Y//QGH/2ziuPHAfhbR3y8f8Sv6DXm1CG9i0iPvq/pXK1R18j9HwH9Hz3g+NQj/q4HFWB8qW0kadZzoOwLNq+POD0MePmvInZfTHj8UY/TG31O/GIEcwV9BB3LLwd090rL5lDRp4yPdk8AgHd3akQFBvJWKe0wOnr+dEQJAnnfKVJ8IPQfrJBlRbz9rwU3Pz9gfD3g4cdxcXG3GJQKEMTAqf+/JblGU12bQiwBqCVP1v+LMl1UsNYIV3svL2YwAHPx5JXxDq2QhAq0PrmNjuuJwWpzogqN24IdYgLltI8dfn16iZ4y3pfPsOOKu7rHXd3ii/kWvz69xFenvVaDsnLBm9B7RaNWZ7+VnrWh10pL9pZFpVs2woWCtIj+gfUhR87ssgHxQ4bageoBizaPN/TKtWyEJSlrtElFShQtsUAO6w/BcrgymZnVs6CN9OAlqEZGoiVejlwZquVokvcHbWibv41Z3as5gFXGHXkPRnWyzys9IH0FYm2apRr158kaYsOuZxlTdYxWdztZDnVGc3q8SDw8ePMxK+Witcp3zXvVD+kppWjXioUAAUEpeqrPkeW5rIfTtT4+9rR6//rsh50yy4LnvS+aaUCwQYMe6DwC05jwOA94G67w+fwKd+GEWz5ioIzP51f47PwK35yvMM8BdWbEWdsGUFmNE6EhkGRzwKnZjWJnbAxvdSFhsbRn0rHQBE7HonghxfWpiYAEkBAo82KmI07PpQXdWs+pNarFhj5lRQnWyT4AeJ/L0i3mMko9tnlSYG1e7C1ZoyelKzoi6mvn2cvWGYAVqrz6HhHcmKt2AXnDmLeMvFUqVOmtn187gNAQckUdyFqn+b9t75ud3imQPsC4rqv5LBdJ0sWrlEuEy18r9JesbRtQIRxaMrO4rsuCcLY9nS6CfS6XRaZl/9GxkdXeoHKKFQW9mj51JNvHeanuFv8iIDOexg6Bt/hyutbCjlVgvxr3uB83eDgPmE8JOIWFmulFSguS1bCaluuyPdH3wdLrjeZ+oSUr4mM3tp4aQlqkWd2vI6swGrxEaL9tL+r4vGtcRv/gZ3OOoTRqbxfEairlVOWSVuedF9sCKWoSVmeR+L5PDaFqRj2+H9bVfBZq/9a2Wcta/a7WR47ElQ0h7zzA1HtR7dlS3de9WwwR03tpyeJs83+99pp5l7UaW+s91q3kYnzGzFnmWiskM8GbgDVZ0ups9vmuTtHUTHQciV3aXdEFmmbTwJBNQvB+qCRNvkBmOOf3CmNTgZYYhiZGOUbMJCjdjHNJ+E3eYJYjzsKYEXBXt1a03OJx7HGeku3jZPPdUBArTLQiI8juUwvG1RBaZ9itGVDEmty6NKGx0nw5W4cDR4EDr881mz5DUn1xx22/WOQjS+HA13l4hr7qmUktQBYCam+fY+ul0ctJ2lnk5ySA5p7dgAZnKrXn7iwRgbt/V+tssT7HyaakJvxGn97o3KtW5K1bjV/qwMjWlm/eUWMLyCoSpyrKevS1hoUN4LEmAET3YWgdNrRAznmJ/qePdiqRWyV1VIDuQRrTKpMzUvS+yxxQGaCkXSTwFMwhHGoWRSopFCGgkFHo9f4BmNxI51EwF3s6KsfctabOvtHWWLoHrotfECBXxlPpMUtQSYgwHsuAsUacSgKTYCwRV/2IwBXzHLRIPzHoHCCFcBJFd/msmmJ9JjpnqyXltPLZqRWofUXHBX3KkKEoY/TMmKce/Wzoa0Q7NxzxVKd+0VZ1Vc8D9TUB5r2j2YT5nhfmJBm6XQhyJoDcu4DaWIjoueeAlAhhLFENPMXYcxu9jtrrjXSsQJCwYJoCZOYlnrPl7gV9OTHOhw4YtWf1+VVCsXZ7PBLmQ0KJFWwtmnRdapwSYwVzxZgjiAT7qxNOqWAaI/I5aAxraD8FNeqao7R1O11T29/CWdfo9KLHtA8qf2NDe20PUFRc105ZapZ/6evfj7tyrmBSJMGRlWqHbjhlxKMA1KNGNRBIT0qxLR23pM0Na/xwKL0uvO6+gk8ZbtdORcAPStPgba86hKTtGUgMbTAkww1yeNLFPG9ME2kDen63wT+pP8VnL1/iD/qv8TI84U/H7+F93uGfvP0D/PKr15BCqFMAnYMJr/X65u2i4ZOwmDT5AdxauFgT95qAKfn+axPYHlyj9IlVftwa2yZiA3kd8S5m2mWoVQmKWnG3MhCYCpALaM6o11vUbaeHitE3nXbDUdrhAgDNMCaoMNyTeqeutp+zRLf0YaHmQjfj7qtH0GlEvdqiXnWa0M6rQFoEdJoU5b3ZYb7tm6ZN3AZ9RdEqG0G6GRFTwTl1mKdgASEhHNjE6NR0IvMeOFdCPAqG9zrn4lF1XSFr0M+uYXaqqdFhqVRgmiHnM9atVVoCXywMYlLtmQeigXRBV31/PWulBRE8L9f3vMrfaOZGA28toUq5/PyKxVzMqJ/uZKxzwqo5e51n6Uk/93jV41e3r/DVaY/7eYNNmPFx94BtGPHP7n+MX7x/jdPYYbaNLt1Tm+uLO6IFoqYX9R6OpddEzR1FJQDjC9P3WP9C8lqLBbJLf1D9v2j0obnXTbwLhM7mYjXNYOzUKTOJgMdpSShFQOdJkce+a21P+DiBIkPicJFAlZ6NoqUaLqejKfpIkBkQ0iBDSJEmAK2IRC7JcPRtFVRLDEBIapJ0PGsCGYMWJKyVWe0C5n1CGRjHN4zphjDdCOZXM3iT8erlE1IoeP+4wzxFTFYppzOjfxsUiTjr2OYRCFNAmKQhuqVnRZ7vR7DNV4VcvJKyCr5rMeOgy5Jo0/cW13wW0GxeAo7eu5mcU/iqWEs3D5bVeMcZNr5nNMd2Nx4TgfQRVMytvUgzUqIiCIdR1+2HI4IIyu0W86uhBb+KyFjV/DHgw9s9HocN5hLQx4xSGVUIT2On7eAee3S/SwgnQn8niEed494nsBlpGdWydgvLiGdF2ccbpXG6y74HiKqru9wncyWM1YPrZS8F6fjUntqeSxXo38+KpBG309npzFzyUrgAtGDSBTMNjI0dIEyYrRUMybIO8w6tn6EGmtIMfMC6Nnhe9sUA+9zTDORiutsA1AKeTA8vSjuXIS0mYYCeLUVQWRGFeU8YXwLnTzKQKtJuAhFwPiXIxAiPAele6XA+FmVj532GyYQYZWDbMy0hyRXB1qP4Hu3rEtA1yAwa4sVzcffc2us86+4zmonhar9gN2sCGkqyeVfNEBG2JkxzCLLxBKIIoi0rLxq72VY4GxvCGTnta1V06akVDb23M08BwgHjx4x5M+Hr4x7/97v/JV7EI27iEYkKfj2+whfnG/z68AJv3+0hp6W/ZjoA/d0SnzhNcJ2wsTnRZtO6l041dLWT1i9VNfCenNt4upNuBtLR5r4Z4vBEiK6nt0LN6WONB9n8TGpShh5nQTwUhLk2U64wKf277U+sVMxa1cho3mliMV8rI4xGc3idNamCJVNezIjHgnkfMF3pz8WT0tbDWC9a0Dm7joogPk2guaC+2LQ54oZkXsSebhnTjWB6UZDenJBSwe32BCbBh+MG0xSR+4JpFzGP2m7MCyWeZAF21ma+6CndPxbEQ7XzK4Azg6cNwjnpHhAYdJpB7+9BZWxj9cV/OiCxggG1KLMjnQTXf64mn3d/bcD40q/b6MfvetQo2Hz6hNvdCV/ef4Tu3liMZ4tbRkKdGOEQEI+qrZ1e2thV3WP6d8DwvqpGelQWjCcsHgud3wjypxpnybiqhgjwdO7xr+8/xRBmvOh0HE8lIQvjmDuccsIuTvgbt1/hVBL+2fQDzFNEeIgY3hKEGTXFZQ8UnS/jraBsBXI7QzIhvk9WbFA0Nb08Y9+p8dXh4yecjj3iv91i+5VguiYcvycII6G700sdXyrTIl9V4CpDRka80/1mfCEYbwnjm4z0YsTThx6+sdde53R3p6Zd8SxIT6Lsz08VCaUx4PjYgwk4vWHMe2A69tqb9imCj4w6CE67Chkqrl4fIEJ4+nyP9KCgYv3tVoELKxL73pieGN2druX69QCJwMMfCB6Y0b8l9PdeUE+oSc2mJAiIgLwT0LbgZnsCAfhw3iCFgv/1D36Ov775Al/NN/hyusaf3n+MX/zb72vR/lowDDPm1EOiJv3jKwHPhO1vCelJx/f0cYeSgLLVPSc9CtJRv8K5Yt5FHL9XUdY5xV/y+v2T3DU1yKk3TqMkTQSoWB/TzC25ai//u9NJ/d+r+e7aVQBL9blUdfOtVkohKHZGsERhdYkiCx0YtinNuhnOp4S74wZ/Pr3GXdjii+kGD3mD96ctyiG1ZMqRlUWLgQW1syBHE0ENLC7bxsAOFFnpD3GB4rY/y8J0XBtPua5ZW/1oNR51oR/VQIpir6r27WXuruvWG6himlBcorXkn2l/0uX/KZKnz8rRy4amM6Aw2pL4CdPSisLRUsDQUg2mGgLkbZkc/e41wa2bik2fkUJB7hmFrXWJAKVG5IFbG4GG5lo1rCZ99q0x+3cgDctclOXLxugvfDWql/8sqZauVZlXw1kBYNGhX1Cn/6LXikLWrs2/JYILJ10xLa/pZdszzQZEjoTD2KFUxldhjyHMKELoOeOb0xWejgPyFICJwSNr0G/BWluXF/OA2tfagt4r9zVqcMSsAY51hNE8PVGj4/ltevtKRefREginFVO1lg8CnVtGf9dCy+rFWihAefYcfQhtPnsbsQuKKkERXFp/j+x37FOMNoN1EN3QPvvyuU+rGzQE3LXsbnpSBqU95q0g7Sf0w4zX2wM6LphLwDF0mGNAngMqqRNsKwYGe2/S4D5MtrYrL2uSWR9drTo2ZpC2HhfxueQvn7tEAGS1Bipo3TdaLMFZDzE9+xP6Ft4yaPk5e+/VvxdNnUDI2CaoyzgaW6i1poMViuqyL/MMlDMjI+Lh3CNyQqk6BuOYdI6fGeGkhQJ1vQXcALHNc6xiLU9AxPtze7siamYZrl9yRLmhgIBSo/2caMiS3ZLvd8b44WJOtYZsNW0j5BKINyZBNQRTeCkeNNmAsX5EgODyn9UargFg0UlPbS/HigFEl4WcNUvr3/Fq+7mtnZpgLSAEtM2IqeB2f0LgivugwX8pmpA0iYZ44UATR2YdON8XgptxBTV0I1rPa7m8zsYiurx2p7hq8mXfrlCWkscwFju0e4LOmTBWC6KXMf3Ol8Ulzw3OGttHlu9fJunLHHTzIr9Gmgg5BxznhN+ebnEXt7hNR2zDhC/ON/jqvMfdaQM5B9C0tPQga5ciBDOFRGNu6XhQC2jczG3dukjKiiVmE1z8rH0e72A5F/xc54IGauRB53wSDXK9SFpXA9kS6Lo8n4UlgmWd+T4etFiDYPHB7GfYtx9LO8No2U+WP5c4oTEB2/xHS3A9LvOzQtugANJX9P2MbaeGj5ErihAeqQeRYCagUkDZsNKpZ903/OUF/iYZs/W5tH/0+6XG4JC4MGvWr7zVIl7Iq2cRFAShXBFHQR5Nh2myHZ4IUqBIoT1qT7i93ZrGh0YfHX0MpMX9+kvOKESTcVBemCrN6y0qQiht0PWrVsIpJ1QhdEEv4Jw1yR1LxJgj+pDRWRWqPT5n+KzjWvHn7i12KlKfUQJDOKp8IwlkqOh7bVdUw4whZTWwLYt+tAy2pzfWiZnZdhVpmDHXDp7LlA56Hhu1F0EaCwJCVqizQs6ovaZJWFlblYBMkGll9sVAnRkzRX1eHkravN/1E6oQDn1V4K9YgSzTwuDwwao+9/T5lh6oN9q2JxlDqRVuC60YeoB0Au4KtmlGFWpdaF7EI36Y3mHgGYkz3o5X+HkQoKxCbzYkN4q2FiL1O+Ks7z/vAG15ZmfzDAX17Oxve9ZfLcf9qye54zhiHJcK0cPDAwCgXm9UL+i02BQXWp8lozQWhGNGb0lP3oVVEqVT0+mkYZQ2Gf2GvGm3IpsWwHkfM1hiYX3Y2gNc0elUSyEY7qs59KoBBgkw9gF3b6/wXx7+M+0Xam8yHzrQMTTr/jBas2+fHBYcqSmUAFZpLD3rxCan2IhqEAIwvSwItxPKMYIO0d5PefFkTZQ9SahRrcEhuimFidqho0GT6tPSk1Y5tRG5fm6NDCJCud1qMSDpBOQxg5503MouoQojnBTprmlBzfwAyRsCNsvGGM9a2Q6TmkS4Vb8jIBqABOSbATwYojYVRWa2HSCCcJgVHXJNKzPCVJGHgPNNQN4ApzeC+WUF3Uz46NUD+lBw1Y1aybtKmEtAtZP0nCMeXg+Yc0B+6LSKO2tFukZSw4RZIBxaNThlM6my6VK2yrOJD2fU4wGVM7CJKLU2reI6AaZSlyQzmhGXU7ahTpLChNqbbsyNpGyH8VYEThEEsW7+c12elwhots9dHV7NBIiWuS+2vbtWtDtU1FGfZamE7o5x+O0eT6niw34L5gqx4L+cIugcwEfG9r0GlN2dII6mL/SDwoLObK7npaeGZFWjtU17DY68T161jawZs1jw5Bsaz7qWysau35frtWqRfPPnYlS2Cm2VUgdFBGpVo4lBn19DkgLgfZx9jCo7xVUQT4RatGK67lFNxYzvqkkLeAnKxJPEtcmYtdmBv3eRZsQnQwfAWqq4TrGPKEPEtNf9Z3yh1e/05oT/xfd/i12c8Gl/j8QFH2+uccg97qYN7s4bPJ57PMQtMDHmQwBPZuKXra1DZPAE9A8VOFc1adr2C4NCVG/p87fmCQUViKLz3MfgPIK4W9BcQIMV04Jrn/IKVEG0uZp3cWWcs+yLEGC+TheJME+1rYembTaDI51YslA1DT0XZmCTAFLkTZFO/X0OhO6RG9U1TBE1CY4fbuz56Z7NZ0ac9MDv7xUxa2yWbA7KBKt0Xwa2Wlzkpj8s5vCaNyalsMBJ3WFNl3hyDacFBYQLXSwAZDFUu+h6I0ty8xDUfbwY2hiC9vK0gpGbsFEgcGZUsLUkI0xDbAmEjjEw3WiwydkCNQuYQFCDGMJC0wyKgDirBCyQPgH+/K2dkmwHNFp5K0RA3TujMqvmvTpgjy8I060gv5nx40/e47o/44+uvkbPGZ8dX+Fu2uDzzS2e4k5pbYU0qDwZ0nZQwxsOaIVyqqRmjBtrdXWeET4YItTrXCER1DKhlhkoQF61hJPWxqxCutDan7mh21KI9Eh8QQNzr7RwNdKyQPCsf8ZzbXvmcp7qntLdm0nkbEyYwO1znQ3DmUBjbQV01UHavNgqBT0cGae3W5zSgLvHDZgF1Zxl52MCHQMoE9JZZSebb4Bw0uebe0I8C4b3ilyfXwZNzhy5ZYJcW7B5U9X9NonOg6Ssr5bjilFRCyAJmDaasLoPQ96ZkdGg7J5wJgzvdUzyxqUijHgqcCo9kVjyx5cMM0NNXf8aJmnrLW/19/igUg3fe2heBfGm5Z12jBq93aRrYsmC64jW4YJghlVqepivVZxc+qDrJ+ozUw2mnhfTrSDfZHQ3I95cHXDTnfAzm+cvuyOecoevT3u8O+4w5oDjtkeZGXhMYGs1oyCKMh+0hY0W17RwrHO2v8u6XieVfJWrgGkQMBFivEHJZ+ArHbf0SEhFk4QyEI4facKTt1tQ0edMRZAeTSJkc12YkMcrfB2u0D8oU2HeAeeP1XAqXM9IoYC/TNj9Vh2UzyWgRtE9MQiOnwhOH1EruCsjhVrixJNqlsvbXvfpqHs1dQUcBczaPkiE8ECCUhmff7jFeE64uT7ik/0jIlV8fd7jmDuMU4RkRt4XnIL57pjkJ2+rghCTJfQARAh1DtjcMcJocUhXcDWM+OH2A95PO3z+8AIAcPphxvSCUbYFtC2Q96mxdiQI6iCgvqDrCvJYG9CRX2bQUBC+7hB+tcfWz1lRkyUPeuad+nJM+6i5w9kLA4x8sv0vG/jwocPcqR9F7QXpjtG/Z8xXAV/VW1BXga4ivxCkd1GR4pM6POeeML4GcDWj3LOxQ/UcAwHdBwUM571gfKnzr3sgYzwQagamjzK66xGfvnjA33nxG1QhPOQNqhC+nK7xX89/gsgVARV9yLj99AHjHJHngOOxB6WK/HoGJkZ8UDZD6ZW63M5Tyw+pEHZfz+jeT3j86QbHj3SO7v+MUMZLyd5f9PorJ7n/6B/9I/zDf/gPv/X/NQWITVwhsn6itAThRbVhPBeEk27qZRcvKpvraro7zTbdg5ssAY3mpnSI2rQSbmCkH+hvan9nD74E4STKKjXq5XxlB+oUQN/oxlcGheQ5kwnj9ZBlT0JJCzPP3Qgpe5K7CmZcL+Y/uy14eXPQ6nVmVCbUWTfoYK5wTdfrEw/6oD3R9EqpB1VhRNMTAV7lI9UwbGK7Lg9u+TgCUVv3kLVy0eq5mhbp4U72bC3pTmhGRCVpoKwbhbRn3Mx9SLT/IxPCWEBzMXMi3aBbZskMmKNlo6gP2utOaR8zXt4e8B+8+h0CCeaqie2YIrIw2D67gjDtA465w6/4FeanDnUMEKPF5A0hBEK2+kw4W2AJn2O0aIJPAb/88D/glx/+6bcXwBrVFQ9I1+2RlKJPRfWDNa3MLAwRETPrWb6B1ponuOYG0ADTD4Q1vdeT23XFtoq213WWlVjVqwDcK+IfT4R6r1T1XAmFABpVoxHsIIhHpW/yBHSHlYuktMes12u68tItiBEYS/ubhKavqQxDt6HIo2iV0J+DTRcY0N3WSgn6Xh6YiGl21blQHbN5rqDRAm7XJ3thy8dnRaN3JKZpl9moPPb/Tsdf+hZbTSP471L7s71rNEMQ642stF5p37soTjQUl81oSvt1yy7j5fUBP7v6Gvtwxk04gklwFc4Ya8KX4w1+x9fYpBm5MOYpYqYOMjGKteaRoIdgYIEcdJwksVJLAdBsTAqWlrj98v5/wi8f/odvTXPK1qvY2yZhmXPi2lwS8JRBY4EMArmKy7q256hjDJRhVdixSr6zA/S80HkOliWBs7mmCAWDSEwLZ+9VtKwjFRBLEIUJiQWOrMcDNeRCWFZmdRrws+/Nvpc7fTUwCKu1CN2Tte/0gji52U7pxeagzalJrz0eZSlmAQu9EXa/osweLYYS+FRbsRAESNYkTvzzwQg+t00nS0VReGVKOVXZWRBo50kxraIWluRyfrP/uWIttH0GijJG1uTT9bnAYoDnSa5fj91rDdTmedkootRdTfje7h6v+yf8ze3vrNpf8M20V2RmVJ2ZFIIURo7BTCKh540jI86eMBd4ICySE6AVnRAYv3z8Z985z9VzQuMIwLwqHE1tP3RR00JDmExT7ckhT4KYNekKsyIzzfHXEmUtrpU2zxr6FpcCc2OWyPLlCYGwXPSoDU+6HmazNCYbp+6oc9/3NM6qv4ynijywmthVID1qf2V1UKaWxEvU+6qdoGxqSzx047Rks6IlumQF/9wLqmkrG7vMkh3p9ffDiRrToVrrobqKQF0nXBM1X7w1CtvYMKz3pXEIWtEUk6PM+pzYzjbOS0JbEzBFQhxd8mVrlEg1mqAWQwYAdPLYJFwURB259X2hJqBsKnibMfQz9mnEi+6Ej7oHbHnCNow4lh6JKuYaTE5RMOaAx8yoFECjsitqUr2s+tcoi8SRZzajTjLJFUTlHb/+5X+L3/5//5tvzfNwBkLVcz1v1cFXtbD6/vGge0IYxfowLwWwdLDNi+w+rwTx0yP6fkYgQRFCzmaSJUF7l3aEGrXol68L0FVgVFozree1tRyiDISjroN8VQAWUBBwKFrwMDR5rgFjjjg/9cBTxHmYMYQZVRhPucdh7lCy6nCRBGVflPJ9tnV4ncGpotwn8ByWqVU0AQxnndccBUPMuAknjGbcSCSI1xPqFSGy6kqnQ2zzy4upIQoCV5B5swgDYZex2Y6Yft3j6jeCvNWCjxaI9CwrG51L6NSziapJBWdbH8ZmUa8RKyxlpSlLVOr05q32GZ9uI+qmgrYZ3AvwLiIeVXo2vC+Yd1p0D6kuTAsDKSBQg7oKTDdAeT1BPiR093q96v1FoK7g5uqET3YP+FH/HgBUKy0Rvz69xP004KY74yadEKni4/0jjnOHLz/sUccIThXcTZilA8+hzbvS23U0ANT2qqeMeHdE6bY4v9Kke/uloJ5XlMm/5PVXTnL/wT/4B/j7f//vt38/PDzghz/8obp6th3JXiLgUVsJ1SFCNqnphcDUDv/S6WEYR0FYWdkDq2StOhIkF46razpuoxa1w8+/YX944OCJL5aJ1L1dOYpAq8ct2LVKajxh0S/ZBlGSu/VZsmUal3lDmK8IXsGtnVVgBw0yc9H+iwiiiYkfnEmsH6xuRmIVMViy0xBe+9z0gGag4BtiKYzFNXgZRzJXXCqiNM+Vrs6NFPLGNMtOlQloC8upb0530IDeUJCpIpwzOHObTuToo0hrMcRZN5baR6BzsZkG43kIKANbSxWgbiqG7YxN0s10wxN+urlHgOB/Pn2Eu2mDfTrjVTrgqfT49eElRAh9nwEhzEGUwla5aZ2c7r2mlXlA483ohQg//cH/Cj95/Z+Apgm5TvjvPv8v9Xu1qqsvL3OdYgC6ZMF/XRKkqNUwN1hqbWxWny9w3e3aTXxdJV9HV2iBp7fnaPOfF8aCF3rIqCFxdKqdm4kA8UkrhY1OKfqM49kOxFkQzxU8SRu79qzI20p52xuYblr/nvei9vmdaTeayAhaqa7UKuuaMOO7Xx48JU9KNcNd2AoREiqCiJmjGVVRZHm8FYCYPh/c9IEw9AwA2A7ZFphZUquI7oLwOVtBaVaAbJSVcEEXt4q/Xh9p4r3eFi3wXh8qtROErqIPBYkKtjzhJ91bMCo+xyvcY4vYhFlAF/XvckWohVDPEZgYdXZnS00s9L71mhkAJmXaiI9RLvjD3d/FT4Y/AXJGlgn/+MP/tV075qzO4qukSoNzMYTP7ifpXG9eDHZA+V4tpIGMEFZtpoDahaanRPU/F2qymhjaPmJ0WTLjK0CD2oWW60jokkg2Op8H0axawngS0wzq+3mPVjJGiievSh/VPdyNQYoFLTWptlU1SqqDoplBo65dL2y6r4HLWLDefyx58nOJR7T2DGGUZszovXM5L/4LMNYUSVjRWwHvxR7PWrR0imr1lnSMC6Mk/90w2zy3z2hzALhI9MHQYjY/O+tXbeNaa6RAWNPTaxRIX5FSQR8ymETNZCpwrgljUdrhfnfGXAKmKaIWRglKkZ0oQUgLcem4PF93Ja7Qc6XuN/qPRskj/OGL/xg/vf2PACiS+9/95r/Sa0qkLBBne+RqrtA6PnxWBo4iHWIGetSeB2dBPC/Pcmljw+Bo42FnO0gRUlzFpRgPaGA/WPKSl/hHmjEZLt6Hs62vqsyymoAyL4kvWcuStZZT91ud6/FcEWb9rPk6GWvAaLa2lzeZUAfQtoC7Aqk6VhLURwWFmu61CCCz9a3cVLhpFQBIZ+6qfsvCmK/tOme7H8LCCFr1oGWnjAN2TgIgQ29pCdl40iSlmlSrUWYBc4FexZKQ1n7Q0dhGR8aSnIdRtX8kysxbgxnaBkpsj7PPvLICQSfo+oybzRkfbx7wKh3wSbzHlkcEVAyU8ZAGvOgHnEuyKSo4bTIyC6Qn1EqgM4NKUAd5QaOZOwOm9BajzsXYjwU/+fF/gR9/7z8HzxVlPuOf/pP/MwCgvxfQDkubnCdF/8Y3usde/Tkj3ft6WtgsNQLnl4Sy1bZD6aAuwuMvdzjz8ki3j9rvtyRbC0URP5kAOZnZKWkSCFnMAsMENXC7ItV3ChAfFGzISRBTwaab8dHuCZEKhpDxlHt8PjLSI+M0DPisewkiQQoVc2EQV3BXUA8JfFKfljAZSBMqYsoonC4XVqwYXypoQ5+c8eOP3uOcI/5vn/0dxFDxanvAm53g/WmL06Tyl3kOwH7Gu7/TARVqKpb0/bf9hGmOGK9Mw/6rAblsEEfg+Ikh8huT2VRN9hcjLEHeGsC2ipXcg6PlTb1AOtEWRTNh3gnu/1AnfXpkyJEwF0LpK2QQHH6ge6f7NoSjIH8zALuKh58JeGIrQOke15gpX3UgAaZbXVPK2BM1oIJSx7+ar3EqCb98eoMKwh/vv8KfXP0Wvzq9wc8fPgIAdKFgCEf85Mfv0HPBIXd4yj2+eLzG2/kWZHrhRtkntIQeApxfdSjpGnnQwhVg+9Vak/qXvP7KSW7f9+j7/lv/z8cR1IdFSwPdVOk06yb6cou8CVZ5slYSVrH23pDq8qWb0GJrb0ERNNHlolRX0NIvUYuk1OarJxSNfpUr0LEFsUuArteoNCCn6s5Xdp93aL3vXIvQKNQWQGnvPH0abrJQkybs844w79E49zUqbaf0AmLBbNx1SgtllCzgFxglqNNJJVG0alp1fMug1VLcM3ZPGoCXjiCJULIefjwBfC7LYR9ICxFTtuKAJbiRzLBLD6U8qMtra/UEIDxpyyOvquiFo5mtQIAwFoSnUSv69plecVXKrTb4JkOMFeVdBb3kqPXC+aeh4GZ3wnWvDlxXccTf3XyGRAXv8w530wav0gF/ffM7fDG/wGeHV8jCuBpGDCnjKfYYOaGWZLx+LBqa1Xwhm4t8VBOGukmQYYcQEjgfLhPNUiAyYw2bUk3A0CsNlDUI95YjQmg9L729Twvc7TDQ91iCyZa4VqOWOmVyjaQ5S2J1L/rLxmbw3Esc0dUNfB0c6kaJizXL1vvZTbrCWJA3UYMz8rFbEgnVH1mvt61uvPNNAZImQxT0WsTc9aoo/ZgnZUhoxdjv2+aYJUHNCGrSe/XgvNGMmMCRFjbHqV6igGtquRVXqDDI2Q7GOg6johPFTF7a98qSbDRXyyrw9lHu8O2sEzrNaqLmSWHgBd2162qu62Yep0FRRdfPGOKMgWfswwk/jh8wUMVsdrWJblCNudCnjGiW/SKEpzAgI6EMi9Sg9GaSVAiQoHnnyQJTAEtPUSCu4eo2ERg0ztpXtO8gfWf3XjS5NIaC0+wdXaiogNHzqWpLI5/vQqSU5mR7D1sPVDe7zRVkBkFKFV2tEyv4UK6gpgcEkEJLqth0Xt8681Z7VTy5wYz+uS6Uej9WgBqDaG1srO9PxiQA5uuKOgj4dsJmO+LwMACzbpotueyBHNBYPM6+udhHO00mwqSJjbfo0AKLSi3Wrc4amlOXvdZpECQFRNr7VUzjHE0/zIWbdn69l6trbdXi0WqrU98ArNhRvlku0ojmsVDUcLJ2UZ/fShu8FHB1T+/TjI4zEhWcJWEWdUk9lYQhzHizO2AsEfc8tH7GRII73mHmpO//Hu19XZ8JAsomgOqgscI563wiAnMCcw+JAbKmK5uesdo9ahFMz0elqhbwWBBsvXIAfLoGN4cyJFElGsuDrc7eWhXsAbT2bp50uss7iaGKxnbw/sbtd+2ZedAX7L1rAuZJ5+U6eVv7e3BeOgukUawFjZoXaa/PRTPtjK3SK/1yuBoxdDPGOWKeA5iVQprngPmxQykEIQYnoGwrMFTdTox5R52iWqjKYKosmDiAZ0H/jpuh19rEjYQu4gv9ATW5pKz68rXULY6CcqDGEFrPu7Ue17sOcFbmh3+mgxE+JwAgPVWkx1kd8HdKT47HopKBPqCSvc9ZF6GyOgS0ydhtRrwcjvhef4/X6RHfSx8wkDqQPdYNjl2HU+3wlLUXbOCKcRsxJXWnJRKcDj3KyW/S9xRBmKvGEoMWCbX3cQWPBZ0EUImgUpHLEtYPHwqmDVB2Oi/SEzAFQvj4CA4V8ps90rG2+NiT/twTnn4smF9lUIno7xQU2v320nOkdEq1Ld36WrEktFVpztMLWdgkWYuf8QycCZB9hpwZw9dq1pRvGHQl2HUTfrT9gMgFvek7aWJ094QaEz7wHhQrYpeXozcVSO4Qn0iR1gxbNIK+yxiDXJwTHCumVxqM/ezjt/h7r3+F/8fnfxtP/+ol5hcFf/IffoEfbD7gF08Krrw97nA/b7C/PuEPf/I5AOBPv/kIp0OPvsu47kbkTcD5ukN9SHj9L4DNNzM+/HGHpx/XZe/1hNK00mCj97+eUMaAcEyIdLmuvehaN0pH5ruIcCbMtwX0YsR832P/c9UXgxh5R6jbAnqTcToFTDdJ5+0TIT0Sjj8b8cc//hK/vb/B4dfXCmJFz40I8QiMt2YW2AqHgiGZPrpEfDVe4924xb/96iMQAf/Fq5/jf7P/l/i/zP8Z/vz9CwzdjJ/evsdHwxP+D6/+e/xJOuJfzlv8y/MP8W+238M/npXBU3LQPsenqAW0iRCOOoeOrxnhujMjQlj8SlhNw7/09XsbT1FWt0RQsKSFV4mnbuDs1uxFkQXJ0jahRue1jaYa2tuoQ4YikuBSJwbAKYQeQLaXV6uj09sAiCBYNVBYeyVyIWC2AOlsla6jBvteKeaypq6ZsZVXEw3VBRb6Zu3QtDtOyym9VrJRSU02ctAGyXWhPlLRvbk4XA+AsgbJin6IoSR6qM07GKVaP0eRSlJdsSVHjToJoOmkA0xrZQHeJFpRg6EJwQYPWHo+Oj2JliSgUXAJaGZAz+lezJAUFdWyIoRSCNmMW6gdys+NOaqoTfrDPKDjjLuyw2C90vqQMUvAV/kG7/MOU1H6Ty4BUw6qTwIgJA2dATzZ0ARbdW364Uq58+C/LsZF32U81XjBdsHFaHKBAAqaA4uAQC1JVrrdYijir/VhgZWJj0SG05BhwfXlNViQBW8F4jun/eEtHNyYx5FIQCM1T1a9dYJVzdjWouoHuV3j2jBHAqyvNZoRWjP80kHXiqozFYQgYjS1Qsv927NpQTeh0Zz8cNRDUQ9fHjXqUfRuZXDnWT1bAO7Jridz7nZtiCC7yRBBkzbSebK0osElulUU4XLUXXxBrh/HmpruCW0Kjb6u1NSw6MxWtMRSGHMNONYOj2WD+9pjpIxv8jW+mm/wkAecS8RkdH29DUK1ccVqrNpm4gW6LPC2M03HaWZvFBiSK6RUiKwm4px1bjOrS/S8tF0RJlCOYF5+XjygtqC6kXr82TxbQr5fe9VWEfIlyJRgBdOWIEOTWzNXWr98b+Ksc83p7+vEgIrTG2XpYWpzohUeKrVx8nnu99ASFJOPqPO7MhVEgJxNriPLr/n7OBWy2vN2xkBN0pBdCbpXFKNvRi/GuZEPVjR5S/gdRf+uVysmVx0gEkKZdR+QshoblpZk6O99x7NYIWnOqFpTgjXpVRqn91GWpK6xxYqn1Si7Ugi5BJxKQiDB23mPQBWPNr8Pc49TTphKwJTjJVEisyItxc85T2b0WZLJnZqpHwMX7ddqVf3iKsl1JA8UWqLT+td+x/O/eLS0XFsbu7J8r7Ud4yVp+NY68EKbFRg8ERVrjdf6Q67WNRUBC7V7hhCCIc8N6bHPa+e2UfIBQy7ZpBLu3uwSKJuXrZULAbUScmW1WknFEglNcmlkRWBmY+at93ZrDyXFYhwWUKyQGmyeaSJajRpbrM96kw6sOw+Ya/YFC4qWsXHGhaODaw18mBYNelsbLQ5dDBBbfGDnYU1alGvyOItPKhilY/VyYN+v0OaIFMaUI84lYpbQ+nR3VHBXtjjXhMcy4Cl3DcllUop/KYQQAGZNdLXNF9pN10jIm9jur0n6UkDtgzk1V/AoF5MzD9r6Mh3EaPH6u/M5akuXHjjfqiY1jlp0G6/VEAtVwE9auJxu6MI5Pg8LxbQmjRXjUf9+fqNa7PSgiZKOrRcUyMYY5kgO0CGAxxVy+RAwYoPPc8Bh6pCCGhw9TZ3FAfps61MAOGAOxk5L1c51QBJQgoDMyDKfIw4uw9tW0LZgtzsjF8bxHIEKPM0dPju9wnmOmuxVwr989yk+61/iOCdMOeA0dshTwBwqsoQmmyMSNWCqAV3MuH5xxLHv8fijLaarhGlva3O19j2BdU8Tnkk9UiZ3v7d1uMonSIBwYNRJvXHU/4Exxw40E6Yb/ZkmuzwG4DFoyZxXxoYVwBjwzWGH06mzmN6AQ6cOE5oDNGVCeNLDfb6K4J22b/rmfIW7cYN51FTyi+kGn823GGtEFwv2/YSf7t7hdXoCAHxTBZ9Nr/GL08f47PASx0OvfY1t86SRmzzUzU+X/UsNTVEJnIC6lv79Ja/fO8mVwwnEPdADEhPKNl0cDjRXRKPPUqnWdiKqMUJUEXwcLdFiIF+FlhwDZjQQCHIGeLqk+ygNVP/01gLpSdsNlcQtyfUEgyddofIyoZkXzABIK1xUBcOHgngqmHcRecvLgaK/2d4vWhKsi50w73RznPdqae9BX+0A3MwIXUEZA6aHfjHXsCS29QA0xLFwVUOZg6J/ZVDL83Bmo7YpBYFnwvZ3gu5JD9Q8EKiyOhbmCj6rvk5S0CAkWiASlkMl3U8Ixxn5qkMYu2Xz9mqJmfVwQTsQFGVbzK7qECHeNorQkoPaBXN5db3YQo+erhh5S82WvrUhqoBUQqmEx7HHaU64GzZ4nZ5wZb2VXqYDHvKA355uccwdHqceU454OvXqRFsscCWjiVu1X6vfhHkfFipqWdgFPBV1HZyzGgjlhSqKVeKEGJWqzAw6jWhlxISGzPuL2IyBRrK2F4r2eq87AI2uxlNBNdMWKgJKAWpLx0sia0kXvNXBEBU1BC1FJWMeVDNN8gKDMiaWxNt13c1AzHr2SiSUZiSkWQNVMYoyXaC4aiwiZuimgTSZbqUUbok0j7ZxmaN4NSTXD22wuhMiiiVOpAjwoFU9EkI1Sg0XTR6bVjaFi6CWzsogkMqgSascFFl79bKodtOfKQHFdDv63pokhLPtGbnqc8tVEUchNe6yYFYALeTskqHmaqJSdsl6Z+q2UXpG3nJjgYiNV571IP9yvMa5JuzDp0hU8P85/Ahfnq/x4bzF/ajIVi7aDqdURq2EMrFq8fLq3qsWK3hSNNV1WxDRVks5AyEAKQE5Q86jMhR8Lj49AdsboEvaNuagUQoRKbsghCXRIjKAj7WQUZfEqSajMYtXyDwwg+nBSK/NHfJLhWw77Z9JaPu8RA0jlJpKNv+tADIrAoHZEsSDJQpBW1uJ+Tl4Yc5bz2ifdTdOs7lVaEmSqhdZl4A5bwjTtVHxB5unmTHWBEzcCgvr5+DBXO11z9YCqKBeZ3BfUOcAzARJmmWEkRBPSr+uiVB7XjE+BGTnaO0C0AVlMrixmBUxeaqLDwOgfUhJC0Mt2fICgCwJQzxmPR9FdF4HTVb1PZUWSaPpsK1go0WvVXGT1Jhu2htKOADVkEpMjPOY8PZ8hQcu+JqvUIXwOA8Yc8TT2OF47lAroZagU9YD48eI9KSUNg34pBXBKVfEo+ozNIBjYOYlMhIBxglyPKHWxTiTKpD32vIqPVU9B1mWvq1+VtmckBbQ6FysjTKj7xVPtpcYbblYMMmz0uMbrRx6nTXoXpwOykJxKur4IqoJ1Xcg72xGhGxzuYZVYmdJ3zrh9n3eE7U8cGNMzTta3tvOybwTLAg5MI9KG99sJmy6GaUySiWcpEP3PiCc0VCoGtXkECygpFU3OasBlmwL0nbGXLidA2udew3a5s/9RdxIMx4Lwjkj7xLGW/NxcWDDE3NLUBt9HJaARSAeBN2j6UObnllMn6vjXgbVJQPG9Ci61sebhHgSDO/mRluWQBivufW35aJIZpMkjIzjU4+7foO7eYun0uPz80sAQM9K0//t6Ra/PdyASbCJMyJVzHNEniKQCpgriDW5UEROp3LeqCEdF9UXVwB5p/HwvFezuXQidFVQV1Xx02vG1aOg+6bi9Crg9LHGnPGrDhJFW9y8AHa/I1x/VjHeMO7+gwwEwfB5wuZrwvmN4PDTGXwI2PQa452+XyC7jNAXpFQwfnaFT/9pxbhnTP/5E/7ozVv863/7Q2z/PLaz1YsRVIH5So0qqQKb36n5UPcgtpYACRE1RRy7LWoEvrnSudkd9PmnR0J6MPfgUdfKdKuAUu0EeVfhXgmoQHxrOrzXM/qPjni1P+BvvfwC78Yd/vnxh6jHiC/f3uDdg7buq7cZNDIe/99v8FSA6baibqTt86fMuNtr2xx3oS6FcZg6fLR7wv/+B/8CVRj/z+/9Nbw97vDhi1ukr5POlaT3mR5138hbXZMqNwgW+8PmojFhTFtOBdh8qZ/nLtf9iUDfMKZrQfmjI2IqqMcEGQO2v0x48YuC42vG/R9LYw8xEeJdwIfphbUltHUVgcqC/FKUK2+vcGDc/lzn3tf7DvRS8HDu8c3jFcZzgnzoAAL+x7c/xlgj3o5X+OjqCT/Zv8P/8cV/jz3P+NfTR/jF+An+63d/C//qy09xfuoRv+wQBMhXFZIE/XvG8A1a4U1jVo/dVReuPaWprf1/1+v3byFUigYpzymXq1dDU3Sv1/9rVTuskNLlsFxrBgV+GK8qy1i+f/ESaOBk1bZGR1mZU7XAXbAYD7C062mV3WfI28VnVktIO2qBW7WqkUQ9FMmqoxQrQqioFC67HHzHez+/FSJdqJIEMktDuWtEQyq9Ef2Cknlp0ZK4AEMYnz0ToPWw1QDdkVmnxtnPWvAvBAtmYZQrKxrws4o3oVF/yL/vFDavtBoa6MBYOygIQCFMOaLWihoLTjnh62mPY+hwrB1yDTjkHg/zgLHEdviWopqWmhnI5q4ny/NaB3m/98uRcaOwNtTWEeB1Upq1gNPm03O97frl1WkAbmi1RsfJqbjf9auyev82B7BUAQ3lATTZrJZMOPVu0SatfteuyVGZdZugphM3REqeT2ghbTux0p+gLte0jKWOD6JYOwFq7tWSDL1suvvV7wW6nPNGoWzjURXRaiySUrUPbljtMRboSfUEUWlxlM0h0VgR3zXmjfoevN+3KDIalj6y3p7H9bheeBDS95bMGOeI+1nL2u/TFZgq7ucNHqYBp5wwztFQXEVvS9EkF/ZFF/cMuIa10azbOD+b+GSMjoJvv7xw4/cq0tyZYShhQxerFjZo9f8+xlqNpraPf+fLKd686lG6Yjb4z3hSLXg2v2FT42KP12864uVrr5mfrIbCDa6afILR9r/qaI0hXhe/58+gLIY6F+sNaDRK/RzbB6IgRH1oVYIaywRjMjiLya4BK3R1/Wro7vOhLMoYaoWtYuaC33Eu6zUt19zOcPrun/3Wa/Wcq+lwXZvaUHJbZ1QIJQc8TT0CV2UcAThMHebCOE8J8xShqC8vhS5xhgm1s3p9066XFAGwduP1osxfdOmr83J9drkxFKqs2Clo58j6STyntbej3VHG59fZ5p40Wv7Fe9u56XNmPVfXP6ufYbIEY5WpKyl9Z8ziBeQ1+8aNn1rrJC82tg/W51AIanhXGLUycmXU2TsYLIF2Q3Phz0iAqMUk7jQRymEpeF1Qzu3sd93rxTPy+7H53GIEWsbF5QqtIGT31KQCgov3bdfrn+GfZ2ek0IJyO6ukGtjSCmNBtM1OorYvaJFX9/OH3DfDTADYxRGJKo454ZwjAgkSF2SxvVzQCili68UZbjUAZF420tgtsPjg2Vx59mqxqbc8M6Ygz/q83My0/bw/O161blnNEX92rs1kriCbL14kZ64YwmXvdb/Gpoe2gp+DO+25rOJjHvWrdmgIZCvg2DPljMa8VMmAxZWsSCaMmUjWNzkD6JK2o6zCF7rOOgVMXljrC6QsZoW1U+CldoI6VDXH8nUiehb484tUsTXW4fe3dxjCjLcf9hBOACk7zfOH1qfa9jmclvPc2aJrlpnfO4DGmnKKOGcAsSDGgnPuQSOrz8qpIkwah+l4rJ7HTMrIsBaE2boR6B6lhRbO3FB2XeewontQIGM1hucccTdvMNWAFAoSVUxgHCTi8/kVfj2+wruzFhIk0/IczwyZTTNfFqBjYYs+20/XLMh/x+v3T3K932nVL99kedKSfu0jagoWcErbKLx1QoAeSK4DbUhTQ4A8eYC5/1LTHvJkydnE+hAFqgWDbux5w1oVdGSr42VCZaUl81RRNozj62CJVkAcl59rdAGgIZx6Qdrk/vyK2uLUw0ZQNwIJFYgVFAVdlxFChQxQ2uLM2vjagkxFb/WeGiIWBPnGOMxJF1WJgrLTgIqtp+B0o1Wg/g7oHnX88zaAZ0aa1TGFzxNQKjhF1CFCtcuhHTh12wFM4Knqpmr60e5BxxfPklgqgvQ0g88ZdYjqTlzRGtznbWhaOZ6rIu09W1HAbPd7WKsBQcnUTC+EgXAf8DRfAZuCzX7EaUr4cPwDdaFm3VymrBRlImlOf7Xo2NJjRHxihEnpMjxpA/QwSmsdwlPVBu9ufCPSDLmQIihFgFfLI2eg70ExXiYAISz/ZmjBYMqrAFC7i1bTaMoQFOnrnGWgSV0zpzK3TRJC2SRcuIiLHqyKGtNy6NszITFtjWkj0TZBAU3SKHkgAvWy7Bpka9CCnBbc2fu75qwGc5iNSpcvg1YG68aiCQs8ambMQpBTAB8CeKbWaqJR6Yx2pHowgcSKuMno+hk56+ZZMxuao6jRkkA4c0H1XTxm0KRtFZr7a2fGHiKQXBEOI3AAQhdR+9hYBSCAZ16CfegmG09GQ2/PlhW9i6xtjJzyA0Ut1bFdIEEPstqZPX/iRq9sxQGfOmdG4Yg72eFf5k8xdDO+uL5BpILfPd3gOCVMU1yCfwv6xdqF0DFoDzxv9WTU3TC7YZYluqy+BNgOQN+pfjgXXfObASwM3Nkj324VxQW0DdLOOGWlGJWJjUbMyiAgTQzcBVyizu281RZp0Vk5onO9QvXFPp8BoFp7oNIH1MTgqajJYNtzV8lLWLIcL3w4ql7T0nbEtcBrJEt/By3h40n3gjww5h0vyC2rsSAscCodDBlyszW2arwGK+HISE8eSFlSZuwIVA2sUPWMExFIJpSg0pC0HzGdE8qop3jtgJqBMhG4J8RsbdfE7x1aOAMuCxhWiAnHDMwZMiTUbYdQKsJxBpiQdwml13ZDYXRTJWr7xyIpIUAE8TjbfnC5BnRP0d+nSKjMKJuAvOHLgqW94okAYuTS4/PxlRZEgiX5U9DkqKhW3xNiImgPxeZUaoexJyy2DzRjMpAxLSw4jKyFkxCA7Qa42oLKCDza2jsVhJrhGs68i4Yi6bovQ2waWqd/R6y2TFEZtrKnjHZs+1mNsARhKQ6DTMu7LuizxigAQFXHbrxW48p0EEW27H6FXPuIRjsNI9Df6ThON9rOKJ5JWSgFjaV2/EjXfzgrWlo6wnSj1+G6N0WN1/MJkHOAIOD4mHAE2nznMzefhNqbwzgAPrIa4nQFsSv4/qfv8GbzhGPucMoJ34SKp6cEOWsME/w8yGrqGa3NUekWJkbow6V2ts0r/b80CfoHsZhiQYVr1fc5vVYGVTqisZHccMr3BO/B6RKVMKOBB6c3cUl6GeZ/oJ+Vt7BkwC4pK3p9f7fF/zj9GDFqO5rEFSkURKp4f9ri4TCAWfCY1ONGjNINKBpYTxGbb7RffU1KFY4n9UdpKHYlZZ7NFfGQ4Y71et4tOoT0KHj8EWG+YUgQ1FQRzoz+ndKP06O1L6vq3s0zsP+5Io7xoIlT/4HAY0I8A8M7MRZW1DZ/E4CRsDsA05W2WRt/dY1/9s0O/VcR8aSExWwJanevaODptY7jvBeUXQHNqrWlSphuKuqmoPsmYPuV/dyNxqZda/ejfbfjkZb2XSfbOwelKvszIYs/3Ohs0814f9jiH7/7Q9TKugcRQKcAlAB6MeGTN/d4OA045D3CUa+tuwMef1bwJ3/j1+gMmT9mc3U+B9BuwovhhKkG/Dff/M32DCoIu90Zj58QcJ+w+UI/7+kn2o4p3QfTyQK7txWlIxw/0Thr+4VguKvt3Jp3hMP3CaUTpCdlCfqLR8Lp7QaTEK5/HrB5V1GD4PBJRN7pHJLRYrEK5Cug7CrS+4Dd7/S5Hn4I5KQGVjzaHHnSPe3pB7repS+4e9yg6wquNiOmlHG0vSNwxftx167pV0+v8H96+t9hLBG//vol8iki7SbcXh9xGhKOqUKOETf/JqL/AEzXOt8pGztG9HmKMRHjQfXEw1tBPX9HVec7Xr9/kisLHU7/jUsaVR8XVK9pF6lV2gCrXhstdjHm8eqc/tu1nBdBfTV64OrzySml7LQ4WSrUqyTVN9d4LqaBgQZo1i9KqQH2e3YQaoC6nN6lWzY6niwAjVZBShVhUPpJCBXMghAEREWHa2ZFYoFnVTLR4DkC6DS5Ja+AuonDxNogmhbufHpEo51KNFE2s0ZcUwVN84LGBNLevhbQVNcu11UgAe0Rx1NZkA5/hsXMPaYMSpq0ETSRcudfP5hgboved7QkLCgu+9+lHSJqokGgEnRz3DByZpxKr9LXoGYWWj1jcKjoOjXiqRYs8bTqKzai9dRzejJl7dXJk7IQKDsizZBEIKe9rbSXUkxwuE5qgWXerxAopzmTWI/PqoY3JUZDhpYKLFwb63PM9eUCcyNnwKhs2vPN5mR0kx6d380Pi7BCUaj93sV6coaDwBJZn+f2b14OU5CaUMxbS9JWToC1F1TryeZr35+5CIFmpWCSVRlbcCow+o3rawUI6qjYp7wMayCUYPqkVXDZENhAVvGzNZPLgqyH5dlRrTqGskqu2KALR4NXyZL2LC5WWOOlmGDrRaKjirpfNdSNSA2YVgZTJS1GKo0d0fYwPZgKB5y4x5QSAmsbgsdTj3mKKNkOYcESYVf9O82XFPCGIDoy7/sXEch1nCGoc7Jk1brG2AoDAIAUF5ZCCM1Jmia/aGpzvtEoPeGpArjkwlpN6Vr2JHzR2LVgn6FyCtuXWhDrdHzii1ZQ+n9LgtvWEC2IhRYxfa6tE9ylqKPzQnXcwjrHG6rPVmEP5hrb65hTVpoXtd6yFvTPaPohLvqzTi3jiBZcXayPwqA0o+8yamHk4P4BJs8J0lB/7QEvAEyv7CycKgtzwVowYZqVlh4Yzp7i46SImhcRshaGtCWTFTtXz1TCsgYAQLq4rA9/FmvWBNlZ2K+e01KLaIZzkYCMCLCgWrLsrW/cqHGtx1fNIVbPb1n/no8tyI8sewMTUMxEyhkCKWqB0C/PDHsAoA4BZaMSFnpSara3wdP3trlbVtu+n51Jn7nYnPAiCXBJD/f3ga+DItaW5rJwXjuNQeJpaXvjRp26B1uSNei9u5NyjRqA1gKLRcyXgd0YEOiEEEaBGwcClgjnNsTLsxO0okPr4Wrj6+ibFx+8VRJPpPpzABwqfnj1AX999xV+M77A7443eEw9HmO1PdXck33PsgKdzjdN+EuvgVHToPrzJh1HsIEVx2pGmsqe8+4CJSrdM4wEeqpNorNmNTg9un3+6lmv45ZqZ7az9WoHpcTC9jgvRlRAThHnzErbBhC5IoaKwBXHMSFP4YJZV2XZy2olwHqfe//QmvQzQoPwfH5pLBNOM2jKGhN0cYmBoShk3gvKJ6NqpLMix2HSpGfzoSI9ZMx77d9OFejf++fomgsnUQrtWZCOmgylJ01I0xOQniwZMVZjd0eop4B0WPbhtXN1PIt1TNBCFu9n1Dkg5wiIQF5OGLYzpuMOrseuvcYJwjrBahSUjcnoTFLgz/2SbqHFmbURXOCKaY6Y7wb9WW+Tlc21HMCbzQGJK56uNigUQR8C0kGAWPEf3n6OuQZ8Md5gKlGLz0XjgU2cccoJX560I+5Nf0YKGtdM2xnng7b0qT1QrzOG/Yhx3iKclIreP1SVK0RC6bUoNbybWyG9xtBkYnhCo/47OyEcVb60/bpi98WE48cdTm+0+MAzLeiwrV2N3QLSk/qdwGJINoAoHoHhrmLeEo6fAuWqAlGQp4gYK/qYEUMxAqE+01NOiKTz/Wnq8dXdHvMYwV936E6E6QeC3csHBFajumNhdA+C3RcTSt9hfEmqIfb1ERcgkSctanRPgjL+1eDc39946vYGoKA6xjGAQ9AJZwckn7I2XI+mb8mCdD/pwbiJVn03OggZVUcslq+COmh1nmdDV1Y3L0HdgVuSLKYDtZPIN01HJpsLp6HJZWBQ1UbwFweRGHobtTKovfnQ9Fm+YGrvi88E0dB/K/1SmkHLPOlCyOcIzAQ+BvQPZgPvGrZOE2QqBLJ2AH5w1q4uNAMLki70VUErjNNeK6xxVFVGvkqgISL0SdFFf4k6CqMKZNM1ExOedHzTB98NaAnwp6K0zE6DzjpEUFLDgxrIblkT4HguqLNqyua9ajKyGZHMe2qtkFQrA8gtWaCkCZiiunq/eYwaEB4VLZ6tMT2ian9KZuRZzV/krKiAVj+1Orzwm6woUjz4UFYBwVCuRl9a5pasklzq+6bD9cBJH1xdIp+qiTLZXG7jl0LTrqkTLRrNrzn1esBqyRAsGYAlXvr+shSy3ZjKrlXfBBcvT2z14drUDisHW+ux6sYfijja+Bu1vFpim7eAtpDQ51Y3FWJGD810xHSxNC9sA+9P2j3a5zkdc4uFVXFmSCacqcdkATWxYO2H5IWg6olAi3gAR9ElxYXO7VS3NnbVPAEcrl7kCOGZ9lqDnKoB6crp1AN8ms3p14sJjtITIEMwFontHYMjE1p9vqDbiY4VE6MiIjPwdta9SDLrfHBKLCyp8kC+BZs6vspYsD3IndNNt8nW+5ZG64Erog5HjYWzMpfqOggFu/8KOo7adsxaItFc9HeYQbanlyG2pF5Npcy5moB5rwm6O337HC0dA/sOrjWlKsBcEbI9t5XJIJVqCIUF+V1Y1oy/AhmrZ5n7IDSaofdhrx1h3l+6NpkHTHObvSzmLHu7X3uYCPCk3w5eNhTXUbSmNScrOgRLKMSKlAJkJJyEMJ9jcx13Mx5vNyRMipiLaDGSlmKBS00ALKaMKVqxLrTlUTepzdtYZrR2WKtCiOtuleFj56QbqrncpNdwwRPxGgnzlSJtuV/okOLShm4Jbtm0o2xIfCt4rR/Eal7bb0GCJXwnam1HXJvq80goIowV8XFcnLpbEcWKjMczeK3JzRXlKur+yx5IEXDba9xhLA+/Ty2o2/rqLinlFQIMyz3oPAPKRteuFp9JpUsFSEdD0iNaYcBjk3iUpjNcEExcxDRULXErguyyLJtnDRBgwthbbNBDW17tdV+SuNIxXlu/zFQ1Q2APvuxVydzdNSbxouVSVFtJASq0kMAq1/r5h4/w+dMLHKYO5znifOosdlmeerXOCs6wgijd0xNRd4tXOufyDJwZJqSxj5C/xxL0x5P21ATQqPPqjF3bObTWMOfBPF6shZNThb37hpjxjdj6bHGDn2MTgYrGE7UCUgin0F8Y9eUxapxCguLry4oJ2ldewCO3Z5qerP3TUZBO62LvOhFVar6kgLJJKHU5zzZvZ/C/GTD9drB+1UvMmTeEt38SUDbc6LxaaFdT1s1XgnTQ8c3Whqj0Oo5ulOdFwdKrL40vaDeI8njBn/XpjfoxoCpCHM4B82nQY9rH8iHhfIqIk35u3kD9OtiYY3adXrSYbnQg8lafzfx6xvbFCX3Sdk7nHPHlzS0wBuxenLBNM+7M90a6ik9+8B5DzPjsN68h75IRLKsWH0bVyJ4+rjh9BKTdjH9x9wM8zj1+8+4WtTBCLEhvMnbDhHOJqCAMMWMsAX/2zUsUi08hhPgY0N/7c+xQug7X92oMJgw8fapGflo8IHXU7hjzVcB4w5j2hHxVUbsKKgFlIHT3QP/BWBrm8j5dE0Ad5t2yF+edexnY89hozJmvKu5+pkzWvNf3Pn9qBZq7gNorS6R8MqLfTapZzoQYCz7aPuJ+2uCbD3vUWTXpIJ37klnzoFh1XwrQXKMQ3h83OB4G4Ise3YmQB+Dwaaf5QTLJQLgsTrj7O0BIhwr+990n9y96lZsrhGMBnUbQNIODlajMlZNJq9bSJ5RtBKaKeO8Y+wZUgwZV1uanRNeaCCBKW8kDIR0r+L62wFVF0mbg0/I/Wu7I3kNYF6YGQEaRCmoQoRVhVrMIryraV4nLoZ03FkT7As66URQLgCRqcqaHoh4SZF8iq0TtKSCcGemeMLwTeAVcgnlQkcfrdi0jQQAU65urn2GGBK7jYFHEawCmQohnQ8is0qy9ehk8qpmRt1eg41mDVdMTUhENEKYZuH/UcX55g7rtwbVqZTwFlNjBWwGRBV4SSBMSRw7OBcyEcRNa9bkkXWjjjRYCnPpUNoK810XgvVRrJ626JucAmhnpA4OzVrckAGVbIVvA2xN4wqC/X1E2gnoK9p5oAR1l1WZqsUPLQ5Sxym5XwVFYlO2UEhAjEC1hTVHHqCwHytIqxpApR0aDVuYAC1DJnx01ihWbNtbfB2WpXjm6iuB9X5fXBaIF/VkYrWvRjntChoXyCEUBnHK31pervksPcf1/NT6TYOZQpnWhoOY7brzjyFY8smorZtO0jEB3r0FM6b0SrhdI1Q7E2cx/QoD0FTSUNseBJeBo/UbF9hYyV1Vz965ERhk3TVDrHVxXSR0UwDK00J2X13TnNpaFL/8NQy6JtC2JJ+1xqfzXaEZ0UZketVMzuvwyA5UQ70NDQjRgJHgfaTEHw+ZY7Xrl6vN7uZyGFmYNgthu2XtO1sRaePK57zTlGHRuc4HkDCmrJLdX4Z4AivjmoomT9dWkMWtBMzCQGTJootBYNpaEhVHU1OVK7yeFlVu1Vd/LoL2P08Os7Aqn5DuVXLAYZxXVSNdNXAoEVhgSo4qzL19DsbTooPt7sP+viXC2opo70noQXZMaougaMGQ16p4upjunTOjuNSj0JJZn/1KUgspC79f5Zc9pJr2/URMHEcJcCZjUPZhN++YFQB/PmtQAsTGimBaJ0DhBNc9Lciu9Z+1ajKiWnPJUFCFn3yfQ9hOaNTlktJpKK555waskbq3fSqfIwnijbAUv3Kgp3ZJoAFh6ok5khVw0ylxz+CU3ANQ9g3w/Id0/giFbwR03LSCunRY9OAvoOOrcPI86EbYbpdyXAhxPwMpdmURp6tM+oGlBI1CGYNdsaF7S+wszwAdDfrvQ9lOQJvXZXGvDaIHj1lheouexB+RkzAue0ArojgJqj1FR4x22GAW4WPOeAHsP3zxgRTm352b7Ud4A3t5GGJgGjVXCSIiPSo2f38wI26zSkKJa06YX9/649oUMLcCvAk8txPkzsTllIeDXb6/1fPDCXOaGDusFW+IILWRQgUkfNHYpG51jbhKphoDe7ssSXQZyr+sjuJGkzzszmisD4/xCJTzppKaCHts5gquFeJM7rK/PkPP5WqyFYwWSLPT6spy/POscV6CGIUVQKKoUzZ2mrVCgZ7Gd03ZuugEjj8t7dkYnDmdBOJdmsro2F2teAikg7yLmvGoh9NURV+/0vDp/ssXT96MWFjakpkZ/8wl/+9Mv8NndS3x4uwdItbZ1DOjuOvT3Ns+2uqFma7W5PpfF2ALnj/Vs7d+xAgyrvQykhZ/zR7qutr9jDO8FeQCSyUDmvZoKxUcv/OscLhsB9SrdawCJjZuwAhoSgLIvQFdx++oJ37+5x/e3d/iP93+Gxzrgv938DXw4b7BNMzZxBvsziYK/99Gf4fv9Hf6r+7+H6b0uZCZ1S3YXcXz/hBfXR5RK+LMPL3E4DKDPBy1E/NEDfnB7hyKMsUQwCYY4Y66M/M0G6YF17gxKMe4fCsJYsfsacNYqZ8Hh04SHn+qz3XxjRmyzQKIatZ7eaE/hepVBqWImIE+M9MTYvC//P97+rFe2JTkTxD5z9zVE7OFMd8qBmUkyu6ZGlaqrH9ToBwkNCJD+oX6BAAF6kgBBw4MeugFJDw1CXWpWsVgsksmc7njOniJiDe5u/fCZ+Vpx8iaLQDYqgH3PPWfvHbGWL3NzG77vMyxrwPw6WPHKqGWyPYd8pLgTrGDgehJ6W7C8pW+sM4vSt+/O+OzuBb/85g0u9YhyUHz++QPejBf84v0bXJ5HDKngi8MzskaUc4KcI9eqMg9JF17v8sXKWNHRSTngfB5Q3/e4/wVjgDKykJSPvFZ0inKExZP0n6XXRmvtThnh8ru87+97/eGdXA/yQ7CgsLJ7EiOT0T7ZXFb3PEIOqPBwagqwtmHyaAerMAh3uXspoanJ1Y4/E9a6Vew9eHfo2vdwL1zR1quEXrXTQGhQE3QKPDzKwSC2trBqfDp/z3IwQaikwFgQEkenBMuUQ1CUYuWuIi3o9wMa4D2q8uCSwnl8/jkQwngRYYbJf+NIFjRYV4PRdAKdtXFMfqezpwYH98qwdwCrJUuuptn3QLWuV7CHAQbb3r3y2ZKc7ebrG1twiV1nh9V9C7xt0LxzOMtYoZbQVJjzNsi2mMJCg0rZoVi9sCBAg+mBCa4UQNYAVL0my4P3rAkogTMYo0PqPRGotqBtnMhW0Va1BCiDVdN9p8Dee/fDjMNtjuieK0g7svnEUZoaJxr8FXS+JvdOQRV71sA2p9T5iKY620SQgrTupXeLr0cuYIMCBu6vMkrrWrU/XQ22t+S2o03LWCi6EBQhVuRANWtUANZZ9Kpwgyn7gexLoN714r0zgPegWIDVuLj2s+KdnV3g/PteUm2fdGlLavX6WUmxVpv7pAbVlFbYaJXySkXlRodwzqJfnqA9hxo39en1bivs1I4HnPSVyuE3ZtN5C+Q3GoU9u6QtwfUxMxs0U1oBYy9K0QThfK6emF06P7xL1zBuEUgMkB33nPx0hzXQRzhHk3B5JvcOW6agl0KVMMS2Y1oiCoMSc4026DJaV0ZTaFpWjVvWRJBg1x8tqYnN/1P4aYdW2Pm8Bi80uyoDdQjc3pv4jFeYA4s7+VZ3Sa5u9/LxS9GSsSs/46bm8HwoWpHKi6iG1mldmHUbGdG6RzYqi51oK8bt+ZyRnX4Z+s02ayWSxG23AFo3rVVZMn1bYtFNFBss3ItzKVz5sistBrv+6sW5Jjrndm5reOQzjAus6Lit8yZuhyvovvOhIZbMK64Ky7w/502i8SevXsmKM2abal1t8YLlXmSmt8S/bJBgXteWMHryK7vfu4JH74twVngrvRWWXZDJuqvN5osltwcWhx1urEFQxXQjsnXGLAF2xXIvRALWGY4e56B9XhmsSJnIWXT/oQHQXqFdJRxYAmqnSMeMYVyxrtRBaM8dZgaiQKaydZitm240IAAII1rM5euWTwklxq1IaXQUUxBE6zZHQIsd4QlYbwKpF75mZVNc5ixnbYkni7ikG9A20BTxfe+rCNSKjr733G6o/xEaKsKvy23T17uaDy+jaU+YPoqKQMFOVRbBNiIHcDRCVUB70MitAEDb254LFxFw1I5kmzhxIWrBY9uQNnRBm90u9AO1TzY5gLoq0fc0gJc/vkOPAVIU603YoKr2vJYPI/4cP8DyOCB9SDyr7goRcT11ZzSwEO0FEyhMBR7IN8D8FhtNL7AgkCusiMgPSuetGAzQRufXTLTXu12sWomU2SfxtaDxlukT2Sgph4qwBKQXxkmlq0hjxloifvt8hyQV55sBq0aMccWYOiq5Lz1jrXczjscFBQHPZaQ47MBi6XfTDc5Lx/2iAfW5w7fTPWOcNUAWQTex6xhCxTEt+DAf8TQNGLuMw7hiTBk6VpTFYjx//klQI1W9ayL0tjtXlO46rq8JePlhZBFvBYYHRVwEZexQezVqjBhfn2KX/TPauLs8bj5LhTaphUgi3zNS2TAKY+boKius9SnjkFYcDgue3g7AUHDbLxgjNVN0irgsnHGeawCixeQuJOa+qEejba59RFXGNW36yQBDZ/EsCRmQF7O1znKEwZpnNl85zspRXk0p7+9//eFJ7pyB0LNiClhni1wuTQHl0LVKNMfKBCz3B1wrutFB1CSYrcq+rtyQTd0yARBerkN8jt9kDO9nCu0MscF0GKQElI7Ja1NfO1rSYRw5BhIAFG0Mz/yKQdByD6z3FQ7JUQHqWPkguwrpqlU3yb347LNHvBqoYS+ieF4GPJwOKMVm4hZCN30GVO1kC/QUJM/r1oXhISWQDlg/qehuF+P1VpyfRoQ1coaoJdm1p8BJOgP9IyFp623aAgaAh0yuDIZSbAe71Io6JJRjhzDy+ygVtU9Wza/W7ZQGyySvtQA1QjSgxoB8a7A4c7IO0+R8K0EdgPXWDouhInQF0biYtQrWS4eaBXKJ5BU5l0IBqECDWge3UKjBxLpUAlDQuF9h5rVGI857MKrCQocmU5ybGCRzbQCpBsUErhJct2udZ0AC/XGXeLjHaxEieGBr3B9NFN3y0RRufxs0CnC1Qw90I7G4Nm7Ju19KtEPnJ7B9XJLWRXPI/naYShtj47wuV0leb6Txv9ozOliAf2DFL96tOB5nznJdOKx+GFekUNGlgj4WPE0DTjqiLhFyYSEnzuRNOITTR5o41D/AAxJpcLWWfFcA1uVpSa0VhUq3BSAMuD96RtW7tII62him09Tgaa6CLdNqnMXYkkAAHI3yUQdRTLyNn0k0w8eJQLW5lnmkaEw+AOcvKu3cX2PBcLRq6cFGAZ0TsJgKuHVpfX6sBissGDRfVyHixQs55vSD2T3FptDGb4QGDbcEVyJgUCZZcuvoyjhC6i7xnWZCtCPHjSHyXmU1QmIIgI2lQeH6hGmDa2Ovm6AGEY42ak3YxSLccuvKlCEAw3YNca5IJ1ZpnROdD3En5uVrxH3QnSpH5wBEnCR2O1iglNbxKgapJfTeEy2iFMrBDLMn5z8NGRIU65wYFOy7UBbMdifacbPHXWCWLODOgxhFX+B157Cjo9QkxjNiEKxeEBx4zjHhCdbForhaTaSNSBdRx8RxcaeZc5BtXRy2LwAwWYJRCEnWsYfGDihKlI4IyrHbfAtszzWdDaV/DZZEpIDlRqzgyD08v1bkO0U9FHT3C/IagS8HhEUb/URWJkn0TQxgXP3aE4pWGGhFGmzaApWdzpCV415sFJQnPPVmwJU+iNdqaiV6YVfMWe47JOHYmNZplM2/BBsbpiFCkm4Qb6DBz70L6HFEDWjJVbWJJcET3MJzKK5K/vLImbFeXGfyKhgeK7rnjOmTDvkQ7F5pX2UkQkQvTOL3ttzoP7cV5YZoG+kNym5Qye644OawYC0R89QhxYrPXz/j2C14WQZc1oR57QgrBuMYBIFMFHtJFwoVuaItwCQrW0e+9rTt/ptkCTdjEz0WxKGgAOz2mJ1XUUM3cG+ePwsINtM1rMrRTucVjjjQIMi3HVwxuPksS167xwUhV5RjQukC8m3EcmOJYXEEgSJdMmrXUSCsAGFmY0aMUOzxZh7py/NRoW/W5r8BUBxxpi5K6Evr/EEF5bHD8G2EdIJ6sKLEanSEsQIjZw4HF19bSbOSc0ScBN2LYPzOxhkN9F2QgCibaKaoFfKiAEOAKP1AelkgebvOL/9rwTgnxIvFhs+m22JFvrt/nyDlFrdnRXdSLPeC558laFJ2ej/lnu2fmNCud7YPv+VefP8vC37+j3+Lr55v8fzbO+7ZTy6IXcH00gOXiO4h4vhbi+tvuLbLK8X0Ocep3b09Ybr0qL86Ik4UvIqTPQeLo9Y1WOytKADqq4zDqwmXhxHp6572d8h48+qE9w+3OH19g3nt8M/uX6ELBa+6CUEUf/HtZ3j+cMT9mzP+Vz//KxziilwjfjO/QhcLcLdCq+DX372C1gAcCmpUjL/p0D/SNvtn+vX5DYvZKVS86S/47ekeD483ON7M+NHtI/qQMb6eMPcd9JIQLjyTlhsWCR//Cbuy4y97HL4SaNpEtDQQDfT4Xyz4+U+/wt/82Y/xk//HgtoHdM/JRl9t+/78aUCaFDdfUkPn4ecBy2s1hBHP3nRiMSZesGlWVODymSC8K0ipInUFIorXhwmv+wvSm4qH4wVdLPjxzQOKCtY5IT1EnI8DvptvcMkd97cKcAmW3wD1pqLeFHz6+gUxVHxTA4o1zrQQ1bO8NmSqBej9I1F/zMGMeviWedfxlxHHr+gb1tuI0v/D0tf/GYSn3PPL1d+949fGLuyr4X5w+a/su0wefMg1NG87CNCgXOrBWBu7sL2nV1pb5dWTWv+59saeRKFdt2O/vWrVhDCGCiRF6AtiKtAaUFNFTBWHbsWQTFFahcFGIy3sEs3d5+4DplYBtISkqkCskgubHQgUiHxU3vbr3q2fFxW2+9sHYsZXCs774IHZkgYluV+ArRAhwq6XC8Y0ARdLqjI7ug2u6J9VdVfNxSZXH7iG/ZARAkW5ahXUnh3PauIIISuwC/phQam3FMSSXOjG32w2Y0FnKLvgcxc0uTCTtPv/+AH9npcLrVXLwnbFJFd0bXDA9o3N7rbxGtvzchiOilB/yjoLorShFnruKrDtPt2Wxd7LOVLfd+ninRdLdhMrbd5t9AHinANa0Q8rbscZ85rsNhR9yuhiRR8LYqhIof7u/nbbrjB4OAxFsG0DQtMUQaWpl4fMQFEK0EYN+fsJGpKgJi8IkQuuifN4JQONI21ccgHMJ137J5RKMSbB9gy9i7jn9V6tn3zvn1c/s3+uyW0ViD0F0gDYCKAAHYTbYw1wjKh+vI67l3fS+Bf7Y+c7HPZ4tW7q+1XbXv94NJB+n+37z/mX+/UQfudHpRhG0a9f0PbX1bpYc8dHP7RRTr+zhtKguS7o1VAJO/fnz7fxnG2NFMA+YXFRKhdxoZ1v504dFRiZ3IaOIzG6PhsSJxCNUxQoYYcK2ZKX9mzq7qt1CN2H28/auabCIF/C7vu7/dHWK1mij4oQKVYIXxMoxLtov89/GdR7v7b42G7/ob7PX4KWaLjydO3QoHCd23lPh+WF2FC3jrZ/OWKp0Ss+vhT36zvbb91g2RX1morxLm5wbmmDGu3e3Na8IQ48r3YfYPD56mKMMHvdjRaiT3M7xXbGYbO95hvbvrj2+6rbuQB4jLLFTlfIld/3iJtvNORXXyGxIpot+xzPYcgY+5UFPFCA55BWjDFjtS54rQFLIB+xFp7FaacFIB9dA7ustjet662Vay+dxUAOd/Zupm5FzWo6d+7PAd0gw/swxxFLlvT4eoTCsz/sCqnN7+ye6xViwIsm32dv+J7n5DFL+2LMks0oU+I6+ziVEroNpaBojsqpbCHxzGT8st2kmGiYj+zRnc3UCOvxsJCs0CtBPgVYLHXFcf/3jjYcrJtYd34PgNGK2DGPTivY7bNQ7Dk5D7njetfehD4D2MkD2nnXRgr56Et7vvsYlc/Rfr4twHY2+XPbXyuAptUSRyr7zlO3CTsWabEKAq/jXHt0WrCqjb+qPGuDKO4SE99L6bDUhBQr0pBRS0Se0/ZsHA0RN7vdxzy5Br5HjtAcsCwJjzOnEvRdBo7ANMcNORRA3YJDRjpmQHqehxankIrJPERSRRcKZ//eRhMm5fvEZTuD1FA1PI92BwnAs8UMu/nR/XlVgJJZsIlxGwm11IgKQQwVUSonmCinAmjH9Z0zR3gGUdRYUXsmrbUntF/60kbGsWjG69E1QoqgjEYVqYBAjX7CNXL6lSOc9rGP7nztf+z1hye5IqyS7pJczhwMcKXSULwLwMVNF1Yb1rvYRqmooIlXbImuEbDPxim5F4MzsCq33gTUbrgKDIOpMXcnQpnZCics1BViHQ6TZqWsdvTPtsrdaIHQobRrk1Rxez9h7DJnstaA47Dg8+MLUijIZhBzTlhqxGVNWJaEugZW6bxrdVCEFyrV7Q9wjp7wIBtYD9bJzUD/XUR9isiHinWskDm0B+0qdU084Ubw+Mc90qwYvyP2HwoKs6wF8uEJSAn1k1cUJ1myzcldIJfV2mwGD6xg17cLKLcUiUnP1o0aEsqYEOaMeJkhg4l4CMnykhX9M4PC5S5geQWbd0ZDv7+74EevHnFaezxNA2JQ/Pj1I0QUX7/c4jL3mJ4HxA+JgYCpXosKdI7AWJC6zHwzKmqDokrbuHHmQHgfsfJxQE04sGyJkAjFi2ptCsntFSMQIoOcdWWxICXg9mDGajvQxB+uZvypC49YR9sPa4ObeYDjEH2H+fgIijRtghvNzk2kIyy1iROgMxim7bOwKAK2sQm128EMDUqSbxXrfYUOFd39TMW8LiPFiteHC171F0ylwyWzSz/E3ObDVRW8hME6BX6I8X9CYbXfK8cbTJEdxpDppGtnh0cEAIFezGEn8CD3+LRTIAHrLZOnsAJpiDa6o0ecK+IlN/E0H1HmBQkRgcL4XJ4I2xidpiisSqjXTjiPHEf6t+vimDa4XFh5YtTIbl+DnhZBul9xezNh7Fe8GiaoCp6WAaUG6IGQtueXA9ZHqoerqQOjikHEFFrIBW08/AioKCLkCqrMAhWfvyyKOBcmoHathKvWzVZzgZ4v0DJtt9V1VpwoLISlyJ93CH8fWPDaJUYeWGkUU6qXBk/mD5jdmxKt8880kJ7gIyz84CXXrmOgswvkqJ6paDBft6lI7QZHPOyLOZ48lRFY3rCQU+6Lccp5+kerYLsSfgoVt8OCIIpvVTCpoMzRKuGWTIhs+7VsnaI016uOrsMY46ronzdYJ4RdgPV2lwjb/TvCIx95/SFHSKGIn1R2MeNcLGmoliTTrjV0RDVVS9hMcI2bt29j0jQG+gnTqQhLgWZ2tFphwbtlu6SSewvtrJw+ZRdcewW6ijQU3IwLcpfx9JmgrIG8zCIoNoIrzGLjQtjRKaPauDdpflDU/aBReXy+pvm4msjD7Z4z0svSUDNSFWKq+RrjZqvOL7fX8H6CvOpQhi1SInybNpTO9CUqg41GkiYSWDvz4cZrRgBF5fYBuRVyACskJtqCi/5sSVdoRQMAmF4H5LFrnO6gxtutVAHGM0fkuGK3Cy2Vnmr3OlTEgUX447gghIrOlH37WNCHgtwFlGFBDBU33Yw+FgSpOKSEzkSSTpce5csjOhOa0o6uI+/4xahMkvpFKR5lHGB2HrdFlTWgvnSQhSgfCLC+LpyjGzqe6SuQMn3GeuR5GYpRc3xaA7Z1ciG7ONHvaxTku+7KR4dFMSwFdSCnsSZBvgnUgwBHLtKmwtaMwe5cTu5rAZ0j5tDh7esTPr99Rh8ybrsZU+nw5ekeU06YVwb86yFjvfNKiF3MbYYkqiyHWKHKxL+qEOK5BPRPAcN72vz0hl1lh9NnQ8M4EqLxyBXNd35fwTC+BHQTlXJVgPV+42mKnSUVgloUuVKYrNyS/9o/AuN3FS8/Djj9UYX2FWIx8cuRSUo8Bfz6v/8h1lcFtz94QSkBl2+OyEuA3mV0dzPyQuGkmoDpBwXaVcSniO4xoF56PL8k3kdk3F0cCn2gWJKjPiCKcEt+508/e49/9faX+Nfjj/DvH37Es/L9gOeHHuMPTvjZD79CChW/ubxCrgHfXm4x5URlaYPPPqwHRFGcco+qgh/ePuGHt0/4t19+jvDLG2r33GegUyw/m5Gjojx3SE9MWMPCotL8POLP8QVOpxE6ByzTiL98/0NgqPinf/wb/NHNB/y/1n+M8E1C8PFUHSCHgvGwIL4/4u2fn5HvOkxvEtaj4OWPBOWowIce//b0Y2Co+OX/jn4wvjAHuvk1MDwqljtqI4S0CYOFDOuKC7rThrSoEVjumPPEyccPCso3I/JQMb67YOxXfDgf8OF8sHm4gQjStUcXC968OmG+mZBCxYfpgFIFMbFIHG8WNrxUuNaxYl4pvCuikFQRvu4xfsNOM352RkwV87mD5oD1jeBUBf37iLu/9bMgtCLL5VOiYccPlVo8/4DXH57k2msbz2AHZHP25GwyaTW+EBHNcEVX/t52SHjlyP/umTydPStOohRmaFwn635plQaTC0tlwOTcSOOtOISIsEQLWFxdNrJaVBMgXpmKhAnfjjNu+wXntcO0Jtz3M352+x2qCr6c7jGVDhXSBiVrkZYANOVcu19XKGzFosalY+eL3Sp+040RCCgBhLoFtORp310oPYA7BpTjB7QOJQ/kygQNMNGuSF6qC7uokoM3dFuVHNgCiPWj0VBJIBOYJJuap4IBsRTCydIESqKH7XlCFEOX8XY4AQBOS48+FrwbTxhiRtGAx1ipSh1N0dMqeKyyi02B8UB7U2N02KB/tSHZtgYNyme22gIV62BvHOTrl7h9u/JxLQaPtIRpj2CINGIxlUMPYFsl078+qhhrAINTV5VTKspe8a/t/Sq2wkaD0ol/jkCgaOMqGjcXW3IdPVgFdCQn4/Y4o08Fh25FHwru+gl33Yw+cMYfAKRAaNZSEkWeWsl1t1Zm75LpjLf2bftPg/pBNv5NOwCEBx4+WjfAO3FcZ4dgdz1/IOTAQH3/3BqiwRZo36UVYYBlgZ0gQKvtg2yFuT61BFd3fNar1y4gd36XVx1TV3AzLLjpFtz3E3INWCpnPKfA4HPJCeupg/NroIA0XpInGvt9viX/3nned1ic/gGv6pt9N7EiXw9V0kt24mkwrufvdLIbr9ntC9ffB7hOO4jZVdfVIIDeya3KxDdkoGZFgD9PEG6O67V2cTBHxYju1kAsoVY0jQZXU22XnwifrKMi3qyW0LK6HCMrzXE36mNIGVH4/764YRWDCWoLEv2Z+8i5sGpLfPxR8fmhcez8lQ/XmhH7l+/Nmi3JscSCwkzKUUZqBcz9s3IUSWABRhCaf9JEYSp+X7bChT3LPQqg8eO/57XvyJRDhR4qiwZBEY3GEEPFOK4oXcAyJUIyFezsOMzeO1ZJoYslgLJbux1/2wN5vy5VntsAzx/YvanAEnu1NfD1r1f2yvFxHy28ccxJI6osALvSCbzTuNl2SxTEferu/VUY5wAbWqcDJEhb5+szkf9WeyBjm+jQYgbzkxHa6Aqt46awbhOAVBFiQUocW5JCxU23tG5KEEWnTK6SJb5JKmoQABldZEdLhHFHOks7mxxxJLI9F2qJAK4hUU2AS92RAXYOmQ5B2a4zHgrq2SgixtFzdBk5loq4K9ACHrdp+/+wcoRO7SPW+64JVaFagpgVkNDOfn+GPk4QZuZXqBP56NkAFOjJASkW3HcT7roJXwxPeMkDnpaR9BND44SkKH292tehI8JBRBtyLXvw61zchXBqjTvfMAsCdqrKdbOHfZvaR7Nhh5DkffqXNr0If7WYQRgPBPfd0f2dKToHQG8ztTh6o0T0bPHKr0aM37ApcuhX5BIwLQHpQmh9ShVrqjb6RqHHjNhX4DEhzvQDIXOWfDlos3dX4m2ISmEe4QXJd+MJPxu/xVfHO/zl8QtUiYgn69IGxc9u3+Ml93hYjphzwmnpsJZIZFwsCAJMpdtiGQjuuwmHuOIv5DOEM3nQ5ZZ2fLiZcTMueO5HTP0ALAHpgc+vLhHn84AyG+x85f3nQ8B9P+FPDt/iv+1+3kaYeRfS9XvirEjvTxA9Ih8CSh/JOR4pEifniPVtxv3nL5iXhEWOwInih91LxXqIDUXiqDiPkzneThlb+FHQsSjG82vLMYo53uAxyRpbMabEikvqUFRw0y94fSi4rB0ua0Iu0c5Rxe1hxpgylhIxrwlVBbkS4QBR3nPmTOB8AxxvJgxdxgc9Iue4bbfz2KgMcd78ZRnQJij8Q19/OCf3fKHiXnAOF8kpPIuM6xPJSSx9QCgcWO/wlDKYxL4lJPFiDbOdFPx6a1yq0YNj8jPjBMAOxtLTKTjXQCN3io83ANgRBrbkuCbBegw2HJ1wtuUV52/pkQPNU1dwGBb0qeBHt4+462Z8mI94jCPu+gnHsOBce3yYj3hZevImLGAKkXLn3YfY1CSlAmHeAqRoIwF8DRwuFVZi5yWjqTRKBhWXO8X6aeHPnchfJfEfCDM5HbUXnD9J6C4R3UtBnCrKzYD0+SeoIaB6QOAv4975iA41JV9W+7xzLE34qPahVcFDZ4Pb5wIfnVNdwCeTVD98CMhHYSVxEJyXDl+d7zGkjH/05ht2BfOAh+WAKBVvxgvwGnhMBSVH1OeudRQAAEvA9DQQlhIVWgRRt+4KBSusIyjAWgWhZ9eNvMWKONlIFVOIBgCv+su8QPI2cqLNYtZKpeWhZ5erS9ewVYN0awwod33rMjUFTMuJ/XCRfezuBRD7TxkEMOhGTdJm+nlxBgpoCsjJYN6uvupdUQ+SXI3cq9I237GMDFLDIeN4M+Nnr9/jmFbcdxP6kE1UICKFgmPaPEuF4GE+4PEy4nQeoJdEIYYX8gt9dp53oL07BRDRpGFLyoKhKrxz5QI2Ndnhas+PsCfyAcPBhS+4gHkgX0lqRAIga+XoslqpFeAJnonR7J8VedWRSAcfPyLC+bD+XIt1Qi2p9mBaqlI0pUfrkPszDbNAQ8B86fDUDVAAh0T8zSGxiGAsUtyOM/COPK/50rE4FhSl2j2WLcEVBcKFYxic9+wFkJbztYTHKhsBUASIJemyZmDN0JzReLaboTNwsuKNZI4Oa2idPVTb97oVvLzgGFY+d+cpt85c3ZIjKPei2zZRKVsQ52OuXLOgwYMruzhOV4G4OrirsEpDBrh6LYNGoNxStft4nDGkgpt+wRAzspIjTbVj/v/78wG1BpxOI5UjM0XzJKPN4I6T85+xicHsYMcqvKbubPbthdTENYkLgEdeaz7qFYw12GxMyCZKqCttrhOYrZpavmoTWpPzjPB0hvYddOwAEdTjwGdrI81Q64YMsUKfjzmTtfArBOaAH0FnOU6H3DQpgu4xoMwB5aZAh0qaiW3uLpLfFY7sXM2XDvXUoY4V07vAQvWgfO+kKAegwWKrBcCL24RAqzY7dzEiyXWzy2roimjUnrUQvbCstPHd6Bq1eKW6Mrcrf1syXcYE6ckD39Omrorxu+fle9MLXGHZzp/qNshYHfHincjd29btTxfoijOvpUYAkUKYtbPkP/N9ycvj3GEVIB4zPnv9gptuwbvxhENc8fnwhGNccC495ppwqT2eViZmFYKlRjzOB5zWHg/nA04PB2AKGK24Hk/8PPfHAK4EBVuBtnVZ0YryddFNtEnRxkulY8bxOOMsivk2QU4RmiLHoU2wGbGCVcMVBSCdicapfUA+BNTUIR8t1iiKaFoETNyEcP7oFB4GzWrxYunFYgUWNtNUKXqkmz6CWlOhDgG1CL57uEUuEYduxa+H1wii6GPB28MZz3Fgt1AFZ3+eAU3Lok+ZcGYVlJI4dWMNCJfAsWSwSR5uD17MgyP9+O9eHOyeDVK/n54g2M4tWPLSY+ONGzVpveUZfPx1wPBCv6VClf7bv0nWNQMun0fUqOi/7KicflesS8Tr6+z8kwp89+GWSJjPLkxqTh2m395QLMn0PuScUCbF+MIOY7xwTNH8RvD4L1bIUFBPI3B22C7P/jBShyUvhBK/rAMiKv7z29+i+2cVj+uIv/jmc0xTh5wD/rtf/QluR3Jjx4GKyhWCL1/ucJp6zDnibx7eYUgZnx2fMcaCry53OK8d5pcBBwVkFfTfMvtfvu6wBCDfF3SvJ+SUUBYTHCscDyqXiHBmFy3fVOih4GkZ8YvpndHxuGb5xgpHXw147nvc3gge/uUnbUQW9YtYECqDAlERnxKW376BVOCQ/X2A5x9HzG8E8ycVsgrW29BQi/x9WOGHz7ZmoVBYz/+XQlvAZzPGccXPP/0W992Ef/f+M1zOA4ZxwbvbMwBgyglLTuj6BVEqPjmccLxb8N10g3//68+gK2mG67BiNiSrGuVBouInX7zHJ4cX/OvwI7zIEeVYUc8DLrFHrSyc54ce3VNEnAWXT+k/p8851mj8OqF/APonxfBUkOeP0Ja/5/UHJ7l6maCrqXR2HWGlDpGKATh2HGzcB5RDAObKQLfSeZcegAqiqXSmyQ5T61a6uEJNhDJIEZSFAQRVhNFkxVsbRIWjO8UhonQS44MF3LebIBKExP7lDhT7uK3QsSIeM/phxdBlfHpzwk0348fHB9zGGa4hetfNGELGqhEvS4/ny4jjsODYraxspIKsCf2jQQasQuWJCtUDN3XH/QiZkJkk1GLwKDDxdUGH20/YBX0JR+gcoUOB9BX5wpZJ7RholwGQEhDnijpGrPFoHyKtIupzKR3K1mYNB1bMGwQowESO+DwZnEbIEAmbvWQIgGqzQj1ITVPF8MgD5WxJzbIkfJgO+OHtE/7J7Zd4LiP+7P0f4bx2eDNecNvNOKQVbw9nPEwHfDW95qgae0kOwAwiAkydmZVJdrc5I3c7gDN4cPVWCQ5FITNFLQhHDaYsq/DRHFp2EuWlWKlTgZSgh8HgnOHqUOGm4FrlY2wBPOzwkQqqBO7QDl5RbXw1M+Xab7+nUZEmIVTfeGhStcFDWwcZWyzn824d2tQ469ZVqL1Ce3ZcXh0m/Ontt3iVLniTTuik4O/md/jt9AqdEPIGMMFda8Tz3OPp+YA6RYRL4PDwk8GITxSxiKu2JMUT9407ZRBlYWWPwX9otubPrdrorDqyW1R65aihECgtb5w/UXK6M4BUdnDjnkWI4GJLntSaPbNLG5gAFCVMN0X+XhTIXAhf90C3i1xfsZ83nFV7BtZFjQsTg3WKmPoOKVTkMSBJxRhXILKSvNaI+37GfT/jtPb4pt6Ss2sKhDpTYK51BZSBS1xgAkZbsNm4t7bW5OoZ7zzsuPZzBdbVbHrXbgWsGBC2wgBwVQhoaAe/nMRi1xXPa/VxURz/5gFR248WxDduTRJTaCZ6pCYqU0vlAcWOC99EiiIuRG6UnRBVHjjmJVqXzSkBDOoYZMlYkMYV9+OMQ7fi88MzbtKMS+kwlQ7n3ONlYaB6ngbkNaKcEmQKRjchh9wD8WhCQuwoWXDSuoO8b0/4y8CEXwJQLSGQDPQzxViWV0z0XDXeE3VRG4Fn+6bRU6oifDwnVwXh6QR9foHc3dKOu2hjlywJLHXzfTZyiEr4AdoFxFIhEwNZB7XowD3k86BFKTojFeifBXkFE8bEs9c7hsn4Xf3Azu57vcF0SdBekXuzLZubqomNZUfiEDbMtfYE+3dsbK5bBwu74k4UKCJkniHzcmXH7RXsXO0EsW4Jrq+z60O0BGlfLJTtehrH0RNcL2Rbgg4BStRWXBTrTHhxb0OU2XL4aBvFpsDtZ9i4JRQcb0S6iftIiGIYVvzk7gPuugk/HB5xjDP+s+Er3IULvsn3eChHvM+3+BXe0I/ngQXmtcfTZcT5eUD8rmvjmsJKsanurFhvCIsUgY1C2tbBv0QBmbfnVFcbqWOjDtUKGofDgjfHC27HGWuJ+PB4g3Ue2d0zZf7aAavQ16WJdtu9ZEipmN8NbW4rwDEkw0MGhex2IqTYCjN73Q3vDseFfFWpaiJySgg5tuJKKTBhOMGaerwvAakreBxGDF3GT+4/YIx8gMlQQWo+NYSKaMi1FCqWElFXo2DNAbIGE8ikbdUB7EI7xQqbfTSRso6+MKw2b/kYSS0wtJHuijlhAfSwiUp6x9QTUf2SYk9epIgTcPdQUQbBt/9KET6boL8+4OY3jJPnYPOJd4luTbxmfeyxHgr+6Eff4X6Y8Od/+WOMX0eOIBxpn+FCga90ZtJ1+K7i5u/OePnZDV7+q4z72wueO8oCq6kpIyr6ges7nTrIEnDJHTop+PnwFf43t3+Oh3rA/7H/r/C3L2/xi6/f4vT1EdPbHj+9/4C7NOPmwIbFbLDyNbP72vcZX9w84RBXPFwO+PB0hJyjxefA+CKAFZxCAR5/HnH4YsUSFdNEtCaqAIsgXCjOVkZhx3osuOQOvzm/IjR9IP+4DDzPh+9oZ2UEHv8kYHhQ3P6mmA8Ri00LdQ6+iXj7b0jzXG59rBWbc/ObCn23QEtAvqdN9Q8BcUKbkJFeBMMHbEinpDa3W1BvCn762Qe8Hi74X7z+FW7jhL99eou6BqSbip/df4elJvz1wztkU2BPoeLT8QV/fPgWfxE+x1+ef4hwCVg6okCWOaGeCd2SOUCHip/cvcf/+vVfYqkJf15+AFRBnjpkUaS+QEJF9xRx8yuOX5vfskDW/fCEoc+YPrxG9wL0J0X3lBGWXXz+97z+8E7u3Q1EOwZFjYMl0LH73gSgJipluvgNQMcYjGLUxCDs5RsTgA1AB7yyv6+ktsqXVbtqh7YJg0GDvUrGWUysYngSKZWHSpiFnU7jbYh1ZQHgUshLDKI4pgVFBb+ZX+F5HXGaeywzW/zPYSRE67lDPIc276oRqXfzGcWqdQ6B8vl8rFTz+tMEyqhHOkGZBS/vj+xiJjUyC2xe7K7q3oH84Z4BYVxsFqUvutKJY0hXCdvV+CHjZpU+bPAe+3cAG7RLbfTD7t/5MboF6BWIFwbMS9/jFCuehwHnQk7Em+GMIfbINeC76QZRyI+76RfcvLlwzEGOLIBcEuIUDAIS23t7d0vNJrwTwC6RgrA9cD3GzhAF7FQHALLq7yatgJVk+XPNzp2rGMFOiB8yFjSSu4UW+DRhox1EV1vnYluzHULOfmj7ngYmmuIHyy5w28MIPYlUsc8LXgzaOo4ODXTY96X0hLNJQScFq0YEUcw14mUdkDVizglZAy5zT67dGhqcntCY/Vr/7n1wLXf/ZDAyHy/DfcKOMMcXgeMnXE1bDBbng+kDO141gdXPLExYbTzQ74hDhbB9z+y1jV0aUyv2uKqvpE3UzH92H/S6kEK0rmRc+XNis7SRBWUldGcuCVkqxpgRzLYBbJ2vSpghgBaoKMynWcAfijSBEDFY7F6c5gombNC12kWiMqKV60Mgn/z3CU6FAPRE4HBedNh9jwmN8zo9yWx0AbNJnxe82a8lLdhsvgw8yENiYYqKrdL2riNzgN2aRyrTtqTDYO0USBHOLfeOqa+LJ9imMhuEXPWsFAx5Wg445R6XtcPZYG3rGqmnkGmLweCEYbFZ5It1/6zD5EXKaBzX0vD2ZjrVoNn2vLfxXnb+Ze7rVswxLQkNxvNeBThZkDtYIVK3R9O6mX0HOR7Y2TX/JLluaBwTaSNeziC+nsj5SD7flzvxyP0YKUeKtK6r+6cqKDngee4RTfglRUUygbq+y1gOnMkKm8fYajJlC+yDjddyNeJG6WkjybQVnTQG1NGE8VwHwV+RnHIRIeJrV53RFKzIXFtMoUK/4t1rFhrlSjeEewytmOUJp2S49hoAS34PaCrL/F0Lci9EFTWqgdk61IUAd/vG12iX7Pq1NOSPgtBoFeQccc70409xxKoRX4ZXeAoj3pdbfMg3OJceFyuwnXOPpXAcyLIkaN51TnfXBVjC+8Jg34s7Pss3rEBXN4QFO6CW285AnYzOZKNG1GCM1SlZqWC+qeRsW2Isz4K0RxwEoHaBQlXFUE1tf5lK+y7WEKuuhpWBLs/GDemhgjaGqT1Hh0I3m9itvRUTJKgBvgJiCNRjCQVjXNFbtcIhnKOJkU454TQztsk5Iq+JopqO0jEfFlZeuxdB3N5qvyXr3tENRguTsrtvuT7zwrrbEhUIlkCV3x4ammq592Sff19v2P1NL4KMEcOTIE4s1NWRiKp4ol+qvWI6cjQVDgWxZyL/NDNRLT3jLZ+EEWzEDOmHgtMXEafP77DcAzUHnC4D8tsVpyNjOjHKXxOzugSkU8C3Lzf4m/lTjGHFL5ZPMNUOWQOLO+8e8Xx7QRDgF09vEEVx289IRkP54zfv8cunV7g8jLjMEf8ufoY+ZZwu1BeRhRzmhgwFRzoRkRjx9N0NfOrBJrZlWzAG1LEiHjL6PqMPBX3MHMXzOqHmgPWVIMwB41fB6HxAOaqh/myOcW9FxG8iQk4Y3m/P18++YiKKIQvKQ4+Y0VT6nbNfE0d2BtNggQBhBuIpoBwq6l1FGAvenw+YcsKYPkcfMr57vgFeEuZjwhAKbtOC9KZiqREf5iM+TAfMJeFxHfHN5RboKu0sE72m2ZAzbnsK/PXjJwCAL1/uNh0XKw6WbD72tuL0Y5s80rHIMT+MmAXoIjm5tQNC7lH+U3Vy8yf3hOJO3CFSKrRLKLdDE67YzzzUTrC8TqjG32gQt0xP3pJdoFVK68AB2d0J2+Em1t3tZONhVg7O9uStDfs2juv82rD/I52WFGmJpweN6RRQs2LtTW0saAtCn9cRl9LhEFd8Nj7j2/kWf/n4GU5Lj9PLiDpFYAltdtfwwTpbZ3K24szulncZrjhQBq9zLjFU0FmXzq+/JlY40kkQHnrUXlH+5IL72wueno8oz53xda0bcgA0AetZEBeKcnRLboJc/NzQEjTv7voIIP/30gfkY2SXZd0cqlSH/RZ2FA2+LFURSt2crW5rPDwI0kUwocO5CN6ngqdXBwxhxR/ffIdcA/7s/R/h66db3B8n/Oj2EbfdjJ/cfkBRwS9f3uBpGvD+63vECz9PJzrO4YNBMjrbCKuiP7FKfwWLHYLBIYctcbfDPBQlrFOE8xV3L0kMDL0rggBCYhFQb2K7fxcpcahmd9EGzQToPIvxijkQ3ni3wueVD9t67deO17+D5esG9Xe+OYtI/n1cBUo+x7ImYJvRp5TOB/B+Oba5ZylUzDWhCwUflgN+8/IKS444Tz1qCYRaLQHxFNA/Gqztggap9lmWvOFdkt4WE/BCldMH9nBVCLBCoK8pEgSrEEoyZUsA68zEg3ObYYgFRekCwpgsGK7wOdASd0iFHcfWE0I9JOOHeeBp8EhXj9zvD5sXWyMpGHKu7EiZmFK+4X6Kl4ASE+YAPM8DxV8i2S99yBh3PD4AGPsVa6w2tcXmfhq3pjsx+PfZkR5MtrW0YKwEQVgDsDpXXaBFdgJEHTu8qtCPuIpSK3RI7AJawo8KdgyrHeJ9RBkjymHXwd354NKHJhDk9u6iUS4WUTt2MPmZduA9Ww7u+gSAjcmwvbl60uE+X1uCFTI5Z+u4FU733TMpIK9OqRYpojjnHmf0+O5yxNNlRM6ROgAVqBOD0HiKSBfYaA8G7v0LE9w4a+P2ceSMIp5W+2wTw1IAahSWxfQWMjPbPAJ15L3Hi0AG5azHI7l7EEWeOkxDhzAx+YoTkE+CeCA0P17Mhq1AWW8OkL6zxVOIVAooJUUZE9SoJcELclbwCXNGKD53noltTcGoJww6/D4hAThsz92DUcmCOiU8vxyQuoJXNxcMsaCLBVEq7kZ+1jR3WC6R88yd37yS7uDPORT6ciqIbuJ1cdk65oQ7B8BHLJ3XjQMdLJGVHpoLE926BUVlTEhZEXZiVDUJ8m3c0C+Fo97W45bQum35n2Hl/8TZ18x82kFbfFMHJgau4h5sbJg7wmD7BpXUrGvYtnHS4EVKNM0DTWrrb0kagHVOeJgPWGpEkIohFLyUAZ0UPKzH1rnNNSBrxMN0wFLo19dLx5Fm/jxd28LuN10oJOivhpgI/F6alQKft4zbqHdAvymViVo+VlP8pUgn3api6DPqmwklE/kSZmosdC/uB7geZSRsOGRFeMrtWmoXkG+olu8jxbjYAtSK7sS4a37btdn0GoAqPC+liqExrNu+Mo7wZ1o7U4vtyG3WGrDM5BpecocUCt70F9ykGce0oAsU+Xo3nLBqwP/4zQ/wfBqJzilCmPISGhLHizzxolc25jN/15HPPl04YkUK48QwZ4QhUgXc6DR7xEJctiJtK9StwPgdbev8A+D8A8X4reD4UpFHwfQJn9vhayD8mgW9uJi/vqOmS/pmQDoJTn9c8PZHD4RhV2Icz0uHl0qKROPZBia46bQluestcP6jjJ/+/Guclh7n377Ccon46R9/g//s1Tf4f//qZ1j+6p6jdSKpEP1DwPit4PHNLf7s9R9hrREPlwNiqPiTV9/hh4cn/Dfv/hJ/MnyF/8v7/wL/z3/9n3P821gQ+oL/+o//Gv/bt3+O/0P9X+Lp376DFGD6qscUCEWWQ0Z3ERy+pS7P9I4x3OF9weHLCzTeQEOP5V6hP7mgN561CEeUlhzRdwXHkfomd/2Em7Tgp28+4Ol4wRAz3oxn/O3jW5x/+RkO31QsfxKwvCtAV7EeM0oOkO96xEnw6q+Au1/NKGO41rYxH5NvFOlZMH4dGoUGAhYNejbFym2BaES+4dr3z0A9Cy7/ZME/++lv8dXLHb79+h7PAD48HxGCYv7NDcZvAy43Pe7TBZ/1z/inr3+NKBX/+1/9N/jFN29Qa8B/yJ+yETgW6FBQXzrgJUICQFqasBlXBL/+1Vv85ss3m/8w3wUFqqliD5+d8e7nJzxdRrx8OAJTwOGXHcICzO8U55+tWB4TUZKX/1QjhPZdLREOYI/RYD2beBGrCtIMfg9v8eC8iVDp7st/3quY9nGiVoHz91dLWjODpKZ74MFfwDbuwFTzYt05kxYsXgedpQpWU/kLoqgQdFKRpSJraKp6riAZFqpHesVqn8i26qiYM9p9VOvAtPv0qp1y/pT/fqFDvnpf0dYdua7obYGvQ68QbAzFjrenMey4HJbsAoT9JNlUNoEmanTVIVPFnu/kr6uxPP7WGQjRum9rwLR0eL8ccYiriU7xfVIkzAdgcBzAQLEPBX0q5OGa/RA6JVf2UhMg3SbaghXNRvfrAxsL0SCCXWiwaHWRHlun7V526+FQV/HgnQF+g3NbMYY/vD3r9vkWsFx1PXfVY1eirdGbhgatqky41KCoV/sq4gpa58nHVVKkdt9ZsOSIFBOe1hFT4cW6YvhcE6v9OWLJCXlNhAu7anjegiFXmL2Chtk9NkRs2N0jsHWB/C9KhEULslyMKQc6zQRIqHBRGf3Y7ITPSk2Yw6G6DrV1Ll5bf9AG2lgpDxIqg4NY5frR+F98xrQqu0RBEdbAjqLNB64RNh8xkAtjjnwpEYhAQmkFtCYKEytqDZuJ6W6N/P99n1tg29Y3bPZBmwnbOgfdhsDnsBVrPn59X3d3/+09rSHJ1Tr6OJw9+iYUoNrGvFKnNnv1/yftRGwAvBUTdkWavT1t8FA0Sorzb68FanDle1FYMZ5yMv4tkQqXpcO6Rs6+XKwCXciHptr55suDd23r7pnsurn710dHia0FEAy5EwprMFecT7tkF/IosRqMebenLchxQcArv5YCFAn7cXANYWP8WzHosSez1l4GqhVfC67sQ9y/75913QJzBKCsgM6CEgWlBEhQlBpQQ0UAu7ldpBhSLoEu1hJce6zbWla0YvbeXppPlG2GeHu+at1q3XFdjRLC97aC19Xz4S/73ne/4d1IsQJcGdCSb9FdrABzoy5IJft7EHsu2CDowqCvqat68cXv3T6j6RDE3T3D/bq6gWxc933Xbwl4vIxYa8AxLciByslZIuYasZTYEDlLjZhyQi4MztVsfm/bV3vIfQ+2GMX/vd3/3qXsfl+KtMKwj3cR2RoIMVSkxOJ+a3LYOgXAOvG2Hh47GboAMBvspJ3j+268BIFq3c7w33eN5meuYxu3dZ51ugYU86vs6JLXnGskx1kFQyh43V92UwhMeEfZlWzjlNpnyFW8C8CEwHbX6Pfu+yBwD0iJLZ5oo8V2v+pNnJqAmDc0hMcJpWc3kKgRtMZSi5cdwWFxiBbC1Z12AtGmYacA/eoaUQsLWPVgBZ6g0DUgneIVFx2BExvW5FV5wVwiTrlHMWisBsXNsKDUgKe4+aBSORbIbWmpEafSY9Vo5WGwW+7FKQBLTXgoR8wl8fz0ojpgBmDrMtCevOGw3Aaku76NMRUFyhqwILXnrMpYoRTBZe6RSwFuWcyuSr0HEaIn1hIMSeDnFe2ifmQbnhuVPiCPwbRUTGtiX0RWP5/QzggW3HhPNbETv51jgC4Rp7XHee4gFyJrFvSQWA0Ny8Dit9MrFAT8fPgKQEYfMlKqyKaGLgIEa5RUE/r12LAhBj2Gy4CMBbEvHFE28TmgGPXMn7lKK57GmQ2U9d6ep24Fv3/I6w+HKy8Vcl6gpwvw6hbl9ZECFgrAlU6FSmPTGz8omZz6gpeRojM+9iVkQLMHRqxI+EHvMvxSAT2Cq2eLKBkYHlgxcr5UHiiLXnsukgvaQAh/7p5tOPsrNP5u7bkpaxXMa4evX24RQsX9SKXZc+oxxhXfTTd4Oo9UIVsCJAfEs7RRE17JJccI0HlnlDs4nkK2Tq2Gtj5hZaCtt5uytKsd0jEBUMGSE+oSEeZw5Sj9VQbBcgdAIkIeTJGQHd3ambqhoB3uZWRgtB7ZNeEAbCcMW2BpTjEuLupQDSYszQlLVSNaweCLGySNVfuICQf8/9MPmlhXDIrXhwv+9O23AICqgqkwAQN4GL4aJnw4LlhuOhM62jg8OTAoKQNQDqyMhyJIJ3Z70pn8nqZIXE11VGABY8JQFWFdgXXG7305ZHPoyGcTQCqHVF/eheacoLRfRw2ErG2+JMQ7tNZZb0mqidCYXgwTPVckNThv1pZQaOSILIci+5/5wM+OM5qIjTtG/zdNCWccce4Uj88HxFRxd5zQRw73LjVgXhMuU4dayFEkhDNAVkGapEGUg8FoPdn1JAS+Ft/nPyr5uxATb2oFGTqycLHijJ1Z9Y3icFyQ59rWJs6sYIpyL7tzJZzWPsgh4IItELBrK124hmZascch+E1xtVi65tDcpbatJqooJRkNQtA/BsQLP2NFQK4dntMB51RQVdDHgptuQRcL+pBN5ZRiSDFUnKeeAUV2f7cVwTzwclEvQu5lS6qU9xJG7yRa51cEYTWINEAxqY9fqpA1Q0uB5EjYq79SQD4m5Bujm1gxpfTyOz4H6mNzCgX+biP9+FWy0n4UGimkUUZDBRjtwLum0iDw/KwaAe25z+ZX0ka4ELa+8R4pDsVOaXqKKKvgm3iPEAuiddHXJVEZcxWEywaTk0rIXjpfJxLYrWlYq82ZNJh5F7eY1IXKIm0pzpU1NefpgwFkPm6dJawBZUrAUBBjNpoBu0qe1LSRKjVAbntINhE9VX6+oxhyBaKgjKkVchqPv2Mi7BzUMib6o4U8X4eiA0CYC6Qq8k2HYlDxNFfElXzamgTxIsg3guVesEbF2gecUsGaIobbTB46sCmK33ccL3ShqNeVTyhb8Fl6sBvQEi25SqbSxA55oxdVQ0JV010oVkmYZqAsu8/YEmztbDyQWOKrgvXANZ5fC5bXgKxA/8T1X2/RUGJ7SKknqa3QVwTrjVIzAoBcbDZkD9RX1FhIL2avC5oOB0Cbnt5JSzYgPPPVaCoeP8WzFbz9/P62w+P5FR5uC+oPBMduxVQS+lhagvv+csQ3j7dMuDwwP3WQOTR9BT+n25d13/KwnSONC108EJddcL2jy1RHYTCOQ1cx9itu+qVxVxslTAVlCkgnFq+md1RiTRdtfg5gPKE2hSBk7yAbTLrS7/uZyPXlwXelPmu/m+YNjQH1c0hagTisQPckiJeIMpkGwVgQ72jTc04IUHyQA06lx2fDM/7pzW/xWA7486cf4HkZW6OEn70VRUS2NWZyJZvdV4rsBKPA+CuPTI6W1wlhiW2tUYEQBbrjrwxPFQs4iiddBMN7JjsvP2WMlF+vkEPBMg8Y3u+eYQ9Mn1NMLn2grkwdgPDYQaNivatMOqLiwxN1XgSgwNILRULT6wX3nz3hpl/xdjzjq/Mtvpk/RXoJRr0hbPZvv31LPzMWaBV8+Zs3+PKXbyFLIJXlWPCvPv0VAOD/9uY14jkBPf3Im27Gn9x9h1UD/u75Lf7u6Q1OucdXN/f4xctbHnSx4ubVBYd+xS+fX+P/dPov8etvX9OeIpDfZL5fT2Xy9W3EIxLqUIFPZkCAb29HdE8DFfptpFH8cmi2BAWqCazVVaDngOlQsbz5gNfdBf/j9AP89ss3LHCsAlkDxgNw+Zz7KT0GiAZISdxbRim7fC5Y73oWIwZAO2C9rSxGZkGYaKf5QM3fONOuyoGCUtpZoWWsuHzB2HH8mnzd4bcJv7h8gXgOODzavhojNCnWVxXzj1lZ+v/8xZ+iO664/GmHL4YnvOon/PzTbzHnhEvuUFVYuAdw8+4RfSj4q99+ivh3I5GJ94SDiCFY4usJf/LZd/jq+Q6PT6+20WIVyDrit3OCzgHhFGmzHxTprJAa0D+mLYn/nvDl+15/eJJbCoUdKvGWTbTIKvGbkIyJBPgBpcT5u4OsPcjBmTcImivitS5FZ4cYhMnfngAvTG5Zadn4rKykwrgxyoXZHZKty+WOwqrkUFAApnLId4wVl1hRYrDKHTsCOUfUEuGDztnR4ns3/kyQ7ToBc7C7Mr8fULsKTCiCUOvuQgEXJKj736lUZfWKFRM3BgX7quve6asEwt9km20J2PslYcUoAetxE2f4+KW7a/Z7QlGr8km73o+rvBSYwSZvPgVczgOCjeqIUfH2cMarfsJc2EXMGjAXqhZ2oSDZMHYkBSwBcH5iBYxnwwNLktA0C6ALxcquXmELmnhwh1a9/J0RE79j/CbYEqUFkT6Pef+sG88ZaIlpe6z7QOkjO2j241WrAHYmdbP5BrWN2++0MUGD2siALUhsl25dwLCCwgBFsaJDtsH2nSVjtbIzU0vk8Pdd4tXGgDSj+Ojr6gN3tmLrsFX5bW0SxyWEIhZ0kAup1tnxQ9QXS+x92p7zAo8nsLuLaHD8/eU6L3K/B/bCVyrwKVVe4RfBrkhXd/eiVHVe+XMUl7NgcQVkFXYJgdbR7WJEDBVZI5JhyoJoQzBcVfg/fn7fU7m9/hHZkA6V3w+mHOoJDLvc4Xe7ZjZKhUlRNfsS65o6FFnaQdNoJ/acvbPvEGYX6tu4wh/5DkveakTjNUqW1o3cxkBh26fGSVKjn5SRZwFh7wK1rmlk/a1xxjUKykShsBKNS7UEILPjLquL1KD584bI2V3zVZfZRzUJjMds91XVuiv86150zUfFtRFhbmdFoKuNTalik68239EekSEUmIiGduaSb0i0TjAbd4hyow1Z4o0COE5BPahPLNK067b7oygfGs1GMsi5DUA1pV8NgjgI1iLQzI6OCJAN7k/bruhCRUyFR8akV45hO/s329ijspw54LoD+/1Ru9CgzBxTKA3Bo7VCy2boH5+/W3HL398QAj2QR+VkLaNGlYGFcLEuP9/PLvGjxFCAzR7MpmB2WldsCfwu6ZLCs7fdv3d0rQBKuoz//LY2XriXGpADcJ5Z2etCQdbSYMpzTlinRP6hxyUf8UPb9fozUa59E3RyPrD9vAfmjuC7etm9tY7aR99uj8Ht3P2+eMJsz8vvE476ELgonVPXWLTkPiKiSlqMB2y21EzK7dvPmFah2u5vzxdX46PnbruJomxOLJZBB1G8imesGrFUajH8RwAy7TO9uOsq2u4r9mcAzybqihAdoNvv7/wNgJ2KuoLaEZbc3ijKTUU4ZqS+oAw9uf7mUzXZhBGDz+aVfi1M9B3lpjD+AlBm7nOJFVrI1UURxFTw+jDhVX/BDw9PqBB81X1inV2e61IE65TamM4aBPW5ayrF9EkVrxMVfjFUCjil2pStX3dnXGpP3vPU48N4xKuO8SMrT0CfMsaUcVo6POWEPEd0tt4yVISes3NFAOkryl2FdhXH44IQFC+vNoQqG2pihdSdTpACQGiwbCj3WlXBtCboFCErKUzeKWVx3XR4rDmnwdT2raNMUU4KzmoEypHBUDwF+g/PcYqfsQLnvnsugwDoWDfqSWXhtwvUVEmXzd5rEixvFN1xwXruER8S1jXgt5dXnB4DxbvhhFPsEUNFqQHeRXg3nnDXzfib9BYhA8WQG87JdlrebTfjfTo230DYvlAsN3GdKEDnseAmdliGrcP+D3n9wUluOE3QYQTG19ChRzCRi3wgp6uMPLAvb6UpSJIDAQzvWSWnzDVFNOKCLVms4BBr67D4HDomjMa1ytKcUFi5EJtSIbt6683WpVWb0wTrIE/vpB1CrMIyGC6XDvkpccP3NKpTOgABiENB1+dtPKEoB5sjIN9Yxzlbl7NYBSYKio/8KOTmAmaQuwCRHQL+tYzsEIasJu6jrUravfAQvtQR87FSlTALDfZk92/VoLiwWxZWGnAAUA4JLtbAkRY8uPIYcP48WEGB7zPfh3ZYeNWzO1HZDwDyTUdDnAthY16Z9wRSLRj3gFssKE2COgH5uWPAORTUVDEXHgxP62jDptlNpPR+QK0B0/PAoH3dErg2tsEcdTucdoEqYR5hW4tMVUVZt4RFFJDDAdIL8GSPRoTw5czxGih1EynqA+bXCXkUzK8C8tEDEvtdg691LwCe+f5xwhbA7ZNa/z1LFgCKENREPl46c92WOzR4vlRFHoUjeDrrNHRKR9mzy1F753Nu+0WyJ3XGVTeO3OUScdlBCWmo2ILRiCYK5d1/X3vAAubE7hs7iOZrg9/zLqj1wEIVceI+c/EZKmRvlW2NgH7X4TxFiPFxrzhNBbvRSlxYRxb4q3auCi4NAroeWZxIMzspfk8wlfMWCLX5z8USioANq2XKv1Olb+l5INIv8UDUc0JZK+YuQbF1L4IoLrnDnBOep4HQ8HMHTBGh2HVaQutr6jNGnXrh3VQXuQnZDuJVzSeKdV8FwWeKpkj+eWt3+yJ5MhAJx0+Bo+C6gPU2YL0JyIa+8Wezt1cfIUXeLTtkrrrdfLmdPOQsAjXQx30MfXcRKbHO53oQE0YRrHfm10e92u8AGrw/ZHLiKUQoKKNgQbLRLtUOX7HqmCURAQz6zU854iJOsOTPudrshEquCLmidgHrbWodUO4FtAQzLLSluFT4iKQtSWChZT1F1C6ijAm57yEF6FYx1JGdb0UbBYXbV1CGCPHoV4lOWQ/JlKVD6+IyuKK9S3X+vI/j0a3gUenPoWCCW7Zu9baXBOtNou1VFqjTWdA9Eh20VsHasWi2FkJkL0vHGaF5UyYlFNT2/WLjiermbrxo552ulqEokMUL5K5fwY6Vd6ij+Zqw5vZvAMgxH4niIFQbQALWA/2DaxeUjsVCNQEpT/QhQPS4oxBOB1DUUoedP6+AvMQWGF9B2H3/CjC/Zlc8LvSbLpJZO/Lurgr6lqXpLG3PeMGFIpcCSMDTN7d47guebkf0qSDXgFIC5qmDnhKTlrsVMRUsOTBxMpRAWOk/qeq77W1Pdpd7scIZmo9s17B44YT35pzisAg00r7fX17jffLD1jcLgBzQ7QQ3w0x7IBd78xn7YpePacq39j0lGg383yuKVygAsoko2fQBFdJM0lRph2roj0AYvnfaHdZeOzU4OgtRS04QcNrGMa14XA/4/z79KeYakWtofh6wRD5WaIn00etWzPBRUepF+g6Y31nRydYnFADevRuB4IKLXkQv1zPGaxIcv1QMDwFlBF5+JMhHRXlN9d8QCzUuPp/xcJ+uz/kckJ96YChY/yhDPnS4+2u+9+XzSMVmj1+S0p9GRXi1IFjS+uF8wLcvN/h35TNMlx7pxCRwvVXbVwqdInAo+PSTZ3Sh4u/yW1R0ULeNOeL//Nf/HDFW9LcLys8z3tydUVXwYTriq/MdppzwzXd3qHPEfHvG6+6MIeZmW2uJWAqRgod+RbkLmKx+IEKtmWrnoDov/RIx/eKOyMNFWmzJuFqRb/hQHPXTPwhuf0n04PkHFdorIYzTbAABAABJREFU/vJvvsC//+XnQFCE2xX6ocf4LW32/PMF/c3CgtMSIXNAfGFsOrzn5y33LEj4K2Sgfx/t2VpDzIt8PTu/ar6mt2fuSbFWAMXOTNPrAZg8O83HUYTo2HBaxZLTOeDf/voL/M3hLX765gN+dHzAr+bX+Ltv3zROfYoF315u8bwQdbnekcfe3dMB5MsBkgX5N0f82bd/Cu0qwuuFxdzvegrU2dqqx5gBePkJ4/zxO8XwoFhvLMbcKPl/7+sP5+ReZuDtLerYs6CcKXZSB87F3QISbq46Kuo9ZSbTpW+GU0Zb8M7Fl5jkurx57QA03gArA5JpXHEB0onJY5oYfFSD05WeMIvaaZu1qabyWXvFGmRXSUAbbh6tYlUTUA5WLQEPq3KMmIYEdBXdmLdqbVTUsUIT1dNElcPfdwFpjX44GvfDxi54wiNqiUE0GGXg9SS7J/KCtEF0ai/IU4SfnvECjN/x96e3BhHOhHV5MFUTABNFqWkL9jVw5uTyioafTraxI9cgrIA+c73H7yrSy4Jywzl1Ya5IpwrUDcJZ+9SUbBvk04LQdbGkawHqJbByGBQVwFoDlU9zh5dpQKkByxKhNSBPhMvKTGe55yoSMsvKrnOxPPnxA7KJUiWWt+KiiJfcuHbkxyrnq+btcGpiU9Xgb5YIuPL0fB+w3lIYjMJmuqkYm68O2aCPNg4AYva5h246ksCuHQoGWE7in+wSD2KBgDYEQzY1z3xDefh6qCy+mBJuWDwp9uTLO0GmZgmvApo97gKrJlTl/28Hm3dBwyzonxhcejVRwARAAkdgiXD9GyzQX4b6CDav0KF+fL4suCx3DGblWRAntgSvEqJd9wQA+ai+nrtX7UidaMFRlPbe+oKmzM0xHpYkwxy9C964XXzUPZVigicKhBzQxO0yoCur4NXUNUWAJZYdb4vc6NOlR8mRCe4cWhdWg1pCgHavPpLMg/J9McCD7zpznwGbKAk7ucFm3wZ2dD+2c6/gRYFa0lWNF5RHYL0Tim8k+lGAARv3oY9M49gJAM3uqieRdYOkV6OiBC9w1s32PZit1qEoRj8pIzC/cegY7TGeA5qIlYkL++iNdKFz9Q5PTUDNvzsOAwHWddEWOGjgeRAWtE4+7PBvYk25Al2gME7aijcbtNa6/9aREv8w7J5nsmStM8hkJ9ig6RRiSj42z0QKEQQKRe0pDBgWju+rgyAfI4UHDzxHXLeAavv8e008S/rniqDVbx4+I70JrakiLKV9n8WxaPQCNKhunCmMyGJihPYBl6GHiGKeO6zzJjakNj5o/8z9rPIROS7S2LhpI1rxSBQolvhG42cFSwhCVoQcWVzIkfOxZQt3fPSQC2958ubJD4tHdjb2iiqc4ysqPH8qqL1RmIj1z0SJrbeCfNCtM68mDtYKmjuPsStuOkfX92sZ3NcC5YbJQ+MXeqyBsMFU991v28f1kQnluQrmvnIqQQnAEhAvtNPwqqLvM/JiUwuiQntA14C8cLxN6aVNKZCi1mmi/0kB0HWL2a4KNxb3uI8OZYPj1nNiLGboOUej7LvTXvDweevblpHm29v69ZsPpMjV7nwQbcrEXqR3+pRYEYqoJGlczlAUmqUVboP50PVOmtN3F1kqO+RBKg5xxeM64rvppiEXgujWvRaQywu05MjvpdmEde4gwDroVbFUly2GKj33R1xtDF8FQhQiruxVk+DwviAsiqefJpx+pChHJotNyV8Fr1+fcP/FjKVEfHg5Yl0S8kOPMAXoJxmfvHvGN9MbHL+hDeRj3HymfU5R7pXD2wuOw4LL0uEy95gvHfDUEZZ6scbPsQL3K5O7JQBa8IObJxzTgq+fbnGZY/PryILpl3fQpHj9kwd8cffMz1TBae3x3fMNKYNPPcJC7uurdGljnaBArQGlBqRY0IWKcCRaLZeAy8vQNHUckYnKwuLw3ZbcesNGxYpeByvK275Mv4m4/9uMlx8nvPy8AFHR/7ZDOgsuPy4YPj9hQo/+QZFvBK/fveAff/I1fvn8Gg+nA6ZLjyI98BzQP9Hu19tg89k3e04nPt/llZ1/eSuIrXd8IMN3AWlil5iFQeqTcFybGtzflicBpa+NWgABBdassw3Q5sq3A166Hg+HCT+7eY+XpcfyYWSW/XpCMV86RfrZeqjAUHB7nKEqeAwHNje/DUgXYPokYPxnLxAAT6cEMR53Q9bYSL3phrHv8BjRPxdoYF4Z/pMluQfi0qUUJoFJ4AIXELQOU7ZZXUieSJCvUpNxY23guHMleUh5cEQnpB70p61Ct82K1A0mbNXd0ksjJ2sAxzOkinJTUARUQp4Y/HfPZtz72NuLbCbHjbD9KQOxSC59zdmnFnT0dmAWzm9L1fmYW9WTB6wp/ToPscH/6Eh9HIV3vhyOR5gsfUA6mdNTUwWcrBsVgO5ZtuDRXlcjC+BJH2c4rjdoxPrgc4qde+SwyIiWBF2d1xYQsSJuHFWbtRnniv4krSuzF6AJKxO/GoUS7F3ANx/ucFk6TDbWACoMioDmgMIsnJO6C/q5fjb4+uIbHxs3yBPeQgfpIjf5hp2HYF2ZOAnnSObdwgGs+KsAIbSvakmeQ4qLzVquCdDBusMLYRfNHm0bEEbJwJtJpKAabMMDIELJ7GNntICwjS/JHlCbqEkAyoEKlugqBbqqAlG3joiLOWE7MFmIoVN0ZVw1qI9GtQHDXHu2IbH93arkNQLSWSHHbKX2DPC8e+rBIyvrah06wgyjjQYJK5WKQ5Zm64DD7XE18iFkdg3jYtX+bFw8gxfXPmxdW7FiwLjj+tufnMMtWMr1+u79gHdrXbEZUSCWqLTEUdWehScnnMOoIgjGCy5nqjjnNeKUWEkPgbSIskbUlQd/8K57ZvLjqsqAVf0/SuD3Lw28RImwecvbTEnJygOlnWDyPW/AveH8ZUcmNM63QTk1KcqBCxXVxkok7oOwEh7HIpQ5Cy8yFYUuYgUBQZWdX1L/HWwBpQezaSsWaseN5AWYMlriuZLzHxf3C9Jg7XGhrkGNQCm4KvAxwOchWw2nrlOwrha7NzEC9WIJyUDBGRkicJNszrNdb9wEdCBA8Ii4aisCSlQr0m6zooHAzmTe7B6wZH11HQtt9t9G/gRAIagHtoPyTcR6DNdq6zu/DwDIDPppoxViI4Sa4rzbuf+5E7jygk+atEHcvJsuGQhC5Imugpw6nKpAcyDKR6Upa8ZzIB912QqWTk9yf1k92bSCr4g9N6DRJvb2sofM8jorfHzctqAGg1usy2HFPnLfmEyzwG32lThqA7AELQv0EtuZmA/8zOAFcqNH8RpoA9rpFkh+DNF2P+4F2cDfZ3GfcEqxSQ9VhSI1mlBTQCxCSkRG8/FSgO45MPANCaWvkLGgO6wofUDpIiRVDOOKPmUsfcJq3UlydTcfRnu2/W/718cDtaSsWEBQdz4KG0pNDWKdzmhFCx9xtqcwAFuBLl10gwkbRDofgk1IsE5s3NAkhH9yBE7zm+Y7eS4415Wf27rwiyXQYvO57b49ZmgFaKH/6E4C0YAsPdaoeFwjYqqoKpzAsXa4rAkxaNO2uJx61FPHs72gwVyvOM/J18adntmF+ZA66FYUKthg7Fk225btegFgfiMIU0BnUM/uif5s6QasPQU8JSgOw4K7fsbTPGJdKC4Z7lfgniKgz+cRUODyjmf1ek+EQTxzWoYmZbwTgNP7A05ywM2bCz69f8G3coPLKbGYuktgUldRg6LGiOGw4rPxBXdpwqubC/IaG19ci8dqimnp8OXzHcdP1YB1jVhnG31l8f957vHL6Q0el9HWQzF0Kw7dipe5x9OakGLFcVioNyLGrXWanyls16SY34F2e9l46iEDKIKwxh3knbaUj8EEJwNUOR9YbRTOuhA9sdyzIJPPA/764R2eTiOWC9EV/QOfz/wWmKtsKI64FTu8kFuOinooUKcQRXCUE6g/lI+kdKWLxV497bz0sOIm90Y5auv2NmSkUFRNl4DuhZu4DMzXPpwO+LvDG8LF30ym6SdYlohlpqhjWQMdRBU8Ph6hym6sCju86z2QXxW87jJ5+Ym+TlaBLJFr1nMTxhNpRLUDLu8i1lsquJePwvPf9/qDk9x6e0CsAplWYATqEDdeW2Blc7kH1vsKvXEcLr9f3q4oAgy/6nD8kt9SMaOy6l0eI0q2AqYlgc7tkozWGWtzI83xrkd21Vq1IgDhdkU/ZLy7O+F+mPDVyy0en4/ILx3ipUPcQXLceRN+I1uCZwOq+zGj5IhyYUUrDB6sVsSomLsORTvgHMyYtkAc8ICRg5119xRqoqONqyKdrEtgQaIXDsoYML9ilXr8YIHdLjgP1iWMC9qcVhWr9nqHxF7sAArmN4LLZwxc4sVGs1hQ61Vz/7uUfeC/+7LkohovTNaCsBbC+VYG9svrhBLRghJZGBTUBOQcWFW6HPDQj1uAmxThZqXDMnhbnAT9A5+TE9D98AwZ6J4ZaK93TNRk5cESZuvWC6FurEzTQaapIpqQlZ7P0OW8LVSwhEbEcPUbVLnYWBNCphTl7YrYV9zcTACA54cj6hRRLoRLulqhcw08gA4rWlWfYj3YunLr5kilKNLFAiLj64jPVY0A7siz8cdcFG0uWbVB8jCFyjgT/VBMoEMbVM946okJcjxy79Yl8r2sOq11g8uxG2HOVpSiN9aB8yJOHvis42rUBOX3CHfnHOewUOimpmCjlwTpshMTSQb/NJGr7qU2QSVgC8A1EbZGhVRLvvqduId1S/y1eldoBoYHD3zQ/JnkCmQK8/AXAAR20bSL7bPhHd9qHBufuZfEIOIJGhUlwAo7FTJwbBBM3TddDIrogdi8wThLD2hve2jfvdm/rMvcuoLR/JgJaYWVStPiUM3f82ocT1NTriaAUUYmt9rb3gRQ16EJwK035Pl0J202u2kESLP/atBMVpl3QZ/u/lTfF7Il2AOhUOjY5ZKg0BhRUoA8B3TPpu9QrTBoyS/vnYlTPkpT23c0UTauWTxkBFGs5w5qHF6iF9iNYAAcbBSecf+qmk0rYa4uBrZL1jdYp0LtWqQA6bLaunQm/qIt+fZCo4sT+XgbCo9ZR9JQP+wkE4K/3Fkh1SDXfg1pAuJFERVIp4I4V4S5IDhCQZW+3MZLcXyUQofY0EaEXxf0z6EJi+WBlBpH2ITVkpyaUAxtJAbhDQv9ePciDT11Bd0OtIti0F9XgXakRTkyKYgX7kNHCm36GuYXDWq9R98AQO0iUqmIpZp9C3AI/MwDsN4q/eChAn1FGjM+e/sEAfD1wy3y1KGeePbXDlhNZDCsLEau90Ad0brwGrhnNSkDud05LJXPxM963yNlZMGyv1kwDCveHi84dgue5hHP04CTjBQQM7h0WNnZrpHrND7xfcIaUcaA/IOKV3cXKncHdhg7g9LWGnARim3WElFcadl4fi6M6U2DuPg6ovFH/V78e+r+1YpkoVBICdgXJiwe2tFKGtqh+QNte+zyNmxz5GXbu15g1qSoSYHAsZNx8i9Y4cCK+KuN9stAOjPAX24DzxwXTpQtYXeuazqzqxYvgnSOjFuOESUpvrl0eDgcW3IWQsVhXFmU+NBjePCZ17amgxVBrFBTkiXqu9iKHGtgvWEiItkRbNpEuJwG4de5byKcfwjIY0B95L0ev1KDwieOgjtUoFPoreDT4QVzTsiXBFTBFz9+jx/cPOGv3n+C529uIUVw+hHjqfVthgwFOg0ca3YAwk1GXQPGXwwIM1D/ywn/8t2v8K/lR/jF+8MGhQWApBjG1brhgre3Z/yj45e4CxN+ec/ZtrkGLNkgxCooKji9jLg8jsAaIIsbDBp1EQAulx5/+fgZHs4kbkpU3I8zXvUTvnm6xfR+RP96xo9ePeKSOjw+Hdt0EslWtC9WVPjhGSLA+nc36B8MfWj7Is5oBSw+R8VyF1B7JmZ1UJS7ghJpj3kitnj6hGuYHwZ889JTkGkR9M+C8RuesacfVdRD3ZBJXYUcCsX6QuKZ+HpFf1hJ4VviNpIHQL3N5Nt/PWD8hntmFSbL5Yb23j0GpBN9aXy1sGl+TkzgI32BzIEzepVNgNoB5/dH/G2kEO8//+Fv8Lgc8DdfvSM3+5Qgi0DHCoyVIlvvRwQv9EWgvFlxfHPBXZfxapww50RbKoL4GNG9GErszYK6BnRfpkZrPf2QfjHfVpT57wlcdq8/vJPbiKkfvXYVOljlVfoK2Jww/xkxcrlXaeO6C9ys6rmvGvpB4p1MD0T9743HY5XfvdhJu2QApQbEoEipoCT+svNSK7bPAbb3Ld49UaCWQIy7vXeMFSFW/hkUS9zEBjaxhs0xAWhQ4epCTQCkUwolqfHnwM5WOxCsuhhWRevE7LqzrRIv3iVEq5rqrozva+Jc5dJvwRS8Yti4ZxRyCbtkGi5eAg9guXEpj8/IVEplkCHb827mUXXjKNEHIM7E2SvQZrt50aNGPiOZXf1xg/o0caBdJ95l7psgyM5EW3XZKuoatq4dBSgUKAVarjlorLLs7gdbQNaEn6IiJKr0ORdHYoWGsC/eb29pgc2+cw57DoGCqa2AIwWtk3vVHbO95nC4bToUn0M1IZrNXqQVGfbPI9jsXvIZhbP3zE6aTH4ijNFVMSG7x+rdNivgcF7yFiS1P5OZSLFrKLsl9aS9KEdMLBUaxTrDdviknThdMUj0Ti31d9AY5h/I/ZfWua0DNv5q2f1uS0RsXWxPtfX6nlExWm0PVK6zd9yC8WKdt0y4kNmNPa9aYitCkIJhHGfjwkX7f+dfe8Ll67+/b1EAdXf9fi8u3NJG8+wf/ve0hGW3t4slO67wbIGl9trQAr6PrlRlWqDq/snWwxK40u1+5qPiW+M0uj3o9fevLtX2XCm0c+8Eeqfb+bPRktsKdlbDSnunf9Tth5UdsxANCRG1KWpfrflH+1mF8F/AknFH3FU0BExt9rKz/cxOqUCb8CLPRG3oB9k9w72Qjl8PfQ+5tg5HVut4N1SIPZMaQVhjdKEq2fy5q84HWHJotrA3kSs7N0pO9T1ps+fLtufjbAvlyWeVtucko3Wmwi6JB9wuxC/76rz/vmexjXbaksUre/zIbzdoPqxbHOT6MwLhcq7B0VsVvGn/tb1l3Z3qxUhFWf0eja4Q+e+qstnnfqsEtz20wmXbx7J1/6v53SAsqNe08c2l2Qauil8N6bQGnOcOMVYMiedTlG2MjxmxnYu4PiM+WnO3K6fkNHFEAery0Xm7O4tbcvs7PnTz3+0s/vjMtnVrehf7JDdp6+Q2yOPHe9Seq8NON3+oUMiV7Th8fc+v9/fw+6jZ3MzKuKcuATlFxrhVUIPiVAO0UmwoTny+rk8C2xdX6Apfhp2/a4Ulhzf7fZmtMB7YCucNiQFAFvqC9U6aT3X0pBRwSoYJSA0xY0jk6moFoiiqBgp9HjIqHK2iQFIEg5P6GtWZ915G2uSYSMfJNRCZtPoZwWtfVysMi2LOCb+e3+A2zng/H3FZ0xZjACaCGQgrzmLFgo+ejSV4JQeclr4lyD6qKkhF12XMBzaknuYRc7bxn1W43zsufhkAdIzl1R8ApCEa/MjYawe0mCTTl1FPxFAr+/PIEB7BaAybrpBsvj+C1+OaEQHMmxTQwVCNYWc4ooBREQCeHSJ23jonPoPoil63IqD54DJHnuPgddYpYp4j4rydP/s4Q1XaSM8uULSrSrT3JF2zNVYG68jO9IVlCZjOPXIfkWJF2Y1NajGwkFaKlVMq0gta3ObIG5k/ev6/5/UHJ7kyZ2pX+9+LAgYp9ISOHImK16/OmJYO0zqym6sMyLVja717URy+s3EFIzm9UhSdNdTUkjKOLdgqKTUB9cZu2BxkdaGaXatfiyCvEQ+nA57jAAFwGFbO/uw6dkm8e3uhgIpXzWsnuNhAblmFhPxUIX1FTBW3NxOGLrcDY546VEvESo+WLPrs1FbVcI6KJwEO51sAICJkRfcCwsns8ItTwehQ5gAgmOS9dWmi8QJdyGd5lbAe2clxz1lNgn+5EyyvyJfWpKhRkV9ZkDGzC+0bkXAjdqM1CMWrsqJ7sfEVMUACjLuVIUuGzCvq/RHlEFs3D4rGnfYCAIT/pgGIx91YEg/2nrl5o8FGtlENyk388YEYuN6ll1aY8O/VfjtIgx8W1hmUzA6FTjN0/RiuHIzHKEDmSVUGdgk5eorVv37IiJEfUCrXxJUI2/grgw9yxEk1eBWhtGWgc+ie+Ts+37bxnixAdtEyJh4bdw05oERFP67oukIuc6KC8lW3zK6jBr5f92LqtOsGRy0W7AUr3owHrsk8d0Qy+AntgU/v/HohVNXQBKuLFJm9B1MRbHzxvU8p7JiGSn4hsDkqHrLSuuioijjRZ+xHA7larAf4DnGpxiHVZIJFQli/cy7j5PBRrnc6F4Sp8DpqZXfLO0L2ObIWxNkVjwDtKuJNAhAgtaJegDQI4rKNW2lQs1YACu16oUC6WHK78pnHVdGd3YixdVVtn7SCgXUJWvFocVTMR9BUL0ylBOi6W3yhjbuy8WVB0A5h7ekfOquk3lX0byab0S0s+kWHDksTAXNhIw9qw1LQqcG6XlEXwJEiXmhoQlrY4LzuN0oGRA3uXkgV6McVh2HFM0aUpTdxQyYtYQFSZvIYsto8Xdm4e2njqGpkl00tGglBEbpKJMQqhHh7RTp4sLt/JsYd/wheG1bXUwhXHax0ruieSPR1de/+ccV1AYKK1uzSkmMru6ILk2AxGKdgfkVkTitEeILrwT2ssKnco8t9RFiDdVRrE9FqibdBlNXm5jonXVZCgHUhZCCsghAFSbfCqvujdJHWBfTudlMFtltNF0X/pFeBY/cCREviGoXCQo09hYbnpXWRi7biLu81IK6GwNm98jEiLYJQKkoXkG8jSu/q+xQ1c/TXF+8e0cWCQ1qxVpsBuoZWnEkTMHyoV9oPRF/IZhvdZtMuquL8YRVyXNm54zkgakXfJAYeqniee5zXjtA/UcRUsd4W1BRJt4L7DD7vatQR3zvxIeFyuYX2irMJTr25O6OPJkqVqaBf5wix+7tOtAxW34Mioh4oK/26HKV1cSngZM/A0DNxog/zQl0r/u/8FRFraMG+YIsP9iNDqKiuzcZqp6g3VonPBmNRuZpx3c5dvf4C+Lnu9/2lnWDldJxGffDn2VAFCiTXF+gCKhJkJh+yFRqLi6yqje+CdQJ5r/lmozF5UWfrzJo9LWJfFoMWodps4dlA2HVFOhfIut3E8SvF/DPg/OPa9n+8CI6/pQ+lzkJFihU3ccYPDo+Yv6Dw55QTfvn0CvfjjB/eP+HXj6/wOL3i+TRmDOOK022Hdaa9dl91hMT+7ITbmwk/un/CpXR4OB8wfB0hSoSEJjYrlvcjCxJdxbok/N/XfwoRxcvjATpFhJuMm9sJpQRCqGugQrGvxSotbiIChLHi8tzhfby5aqYBLAz97M0H5FeP+PL5Dr/+zVsmzKuN2rtb0Y0ZN4cZn96ccFp7fPN4i3VOiNYlLgdFvq2kWUzSOpQATPiWRubPOZ+820+NFA3spMoiOP4mIl7MT1tjg7B7WEcJCIeMmArWc4/w2KH2FfHNjBArSo7IS4SWwHGDl9jWefokoB4KhifB4RuK/VJ4UTHfKNBXSI1UVQ4CTT1qx84zkqL7ssPwnnt9fmtntyNzkhcN+O8pVIzjilmA9URkSf8Y0D8B0zug+xcPSKHi+S/foH8SdE8Jogn5qPjmM+P0+vzbQ8XiegSnhPQScfurivFDQT4G5GGjvf0ngytvXIDrQ+Sqe2qVjGSdzo9/UP3nFVsANgRU2ZyEd61ExaokW5IDbAHtVcHRHKfa//uw5ZyJ94+xXlcx979brRPqXQZogw44r4IjRVgxSZGjEarfj7I6se9KU8hKW5BUo/NKtsNIdotRk13//qaKQrBVduGVxiFyvXyEgmKr6Fkw1Dq5fi07jg2vQ9scOwBAZkXS17JVqrzLGkxcyEczBGkdLUI7C4lvtV4F8P5MG4wr7p6BYCsEtH+TFtzECY1L0yCrqx+OdhiaybWDaN+F+J7iz/6Ade6WfoxOEGFGHLwct1tLO4SbDdpnlBq8WMwfrdfrx39T+Iw+TSBXRwHYvUEBm856/fsfXd4VfLyiVcaC2ef2g9/z5c/FggGvUG/S+GKBlVX+QyXP6+oC9teyh1vqVsQxITdN2+cB2NAWuzE/5HMDXrUSUzDWEoAQUL1zq5vNq/06nzefl3e4Nz6pKZQnbRVV2CgST1o2uKxxfE145+q571+1tuvj36UlIsGee+N7FSYNH48y82foPoAqqaby6Um3KbKHjo6xOj8am03Ibo8BaIrMTYTF4a6/p5OrsjNgv1/dfn7rMBIFoyoo5XpTeTe5dXF3MEzvitdemv2FwqccDKmwdeF2e/Nj2/cvdz2hXm3tjfe3rY+L17SOasFGR975J69UeydBfF/rdj3bB222AlgyZzauge+vSr/Iz/XOi7BratMI3HGFtWy2pAqEACnke9fOs1U0H9GKOsFtfDtTfF9d+b+rBwWjs0jzYdfP8WMno9v9WoHaRzw15EIRYNk60LDkSEzEpwxo3Q7R7Rm5GF9LbgRQT5RM6EsDUBvXdmdrdq0bugNbEafpg3wUn5jKN/8fLem64sXaRx+6FQHaRvD42d5G4hRLkNxfiiX9y2Z/rRDVghpse0RZaLzyB3X7ed3Z4w5xzVfUVkBt9liBpmC+s+mQAdGAgoq60tGUGlBD3fEfA5PELNd2vl87QeuaNlRC8I6+IQWUz9Tjl/ac6+ZfPTZr9rYbs+drpvZnKy7ZGrWYKaIJ1CAZbaGqBc2y+fKdH/F1ur4pNDTClSL//lzd2X4bW6hWQ1fY3Hl2rNJFtudbvHgKFNg6ebdPrCjsYnV1+xw+XzRu8O/EDmVDebkvlFyvVMTTBZgCBVF5sChqTa0YIsYvdV/XScUhrRBR64YmyDjjdX/Bh+GAx33DwP8MfJ80CzKAcSS0vqrgm+kW09RhnLdYj/xas22hQdU14PRMippeCHmtXcS6pjbGUB1Cn6V1td2XtGeoTFobfNeusdSAXCPGuCKlim/CLTBzbqvvWYmKvs849ivejGeIKL7WW7hIorogXWf25vEm69m7Apw21FZNfC6hB7nTRnmUSgh9d+Kc9GLr2s4te4Wg6PuCPNfmb7o+I6WCSwmoGraQRLfioVQ0KlnwcYymEC42aaHlMxkNZVAMiUmdJMUSN22IqwIQdqgSqMWFdj4ATSgx3AnGLqNPGc+yUbi8072a6GxraEVlVloBWak0nSY2GxyKr2INqXWz87/v9Ydzcm9GqCmqbNCn3cYDL15WwctloFCTuGfgVzpTHro7U6RIVFGMu1ot4XO+qe6MAVwnjoB5sD1svzffk/9IZ2j8lpuEOhRoKpx7ex5QbCZX/yCm0qy75Avb4VCB/oHGsN6C8uEaqNCpgufziFOo7HDNEXJO6ExQI51hIiwWZFmCWw7A9Ck5JL7ZSoaJMQn65+uHKGtllzEF1I7dlvQ4kyd4N6AcE0Imv8oWD/D5iLZm2ZQ2V6v2UwmYVVF5s3BDXxIkC9Iz1RXTmXCBUNghqUnQnTYel6wFCGGD9niA5oWJtaB/XFC7CA0dagf0jevCtXA7aTBF2ZxAjRvcpn/cFEY9QG6jjEyUQnvjvlZg+GB25BBPO6Ra4Fys05UV8VKRTpkHxfHICuHT/gGIXTODJnJjmcCHhSMBwkUwPQ+QVJE6mzX73CFcOOA+zuTtxV1XLazVOo+B81I1tLUAwOHiYYMj+VoBm4PXCSZYJsinCM0BC8Bq3yVBTlTrZQWUnx/n7X183inA72EG0oGV3pIFS+ixpkqxiqAUe1gDu/02zqd/hnHPrXvVsbNUE/nxNbnyM7s78SKNlxuTV6YVUiNnWvr97jmCZjNBt+JKg765erBBL50v6TwsKQA6O6QCjBDLqnDcjUAiR7LaWJXaVLbFhdU80F7Ldl2lkqfdcXRanArCUlsXLnTkwULIK95D/q7GiAFbgm1FGo4MMpEcwGaT8prrWbd9I96R3N4rzkB/qtaVpq2FuUDmwiLUxy8RKtFaQUejQIcOZYjgaBH66/IccR5sWJ0F/PFMSFqciAroLga/zRUOV27Jbt6EArsX3WDju0DPofwN6pgJMfZZgvEcULNg1gPmbmB3zVXXPfjDLmhoiQNnrQfXeihbUAA7iPNjT9FKS0h8bifUxP3mjRay5wtzhirac2iKwRdB/6Kt0OAFVE0UcgnnfQShRMGsBdpFBHTQXNHnilZUi4IaiWag6BPt3WFxzjnXoI3D2D8SuhYvQHfmNXQX/pmmQn++VsjiyBwL1EtpeywWp/XQB4ZcodXGPzUeCNCKlWE7g120rBWQLQECtkCGApL8jPU+ovShnenVBIY0AGXmOoR1V+i0YldYfe8qCwl1V6RyM6+gAntnHbidijNgQR+Aeejwq/41AKAUgdZAHQ5/O3v2+RDaOQvA7NnOKQvE05nCgnHaeMheuPKz00cIEepIW8prwhI3pdOcqdBelwixzlbt2A32gtY+YXaxmiIO5wViXxBTQamCOScmEVWgU0T3ITaxzZpYRxel3yrj1m1Sn1gRFeFMxdSNb7/ttXQx9eV1l7x57Gf7iFoMemU3eXSuOxoKozZqFWNI7YybHxWhK9wfPo90pmZLnNGg8MkRHWlDGm7FCu4bR2d0asJ5YJdUCkeisZukLUbc0EkCTRHpRO5xTcBqo5Zi02Th/vZ9TMSCUnzTJ13ILmH6KI6XvI3J7F+qFUK3Qjnijg4IxkbH3wLdS8L5i4rDz55xqkd0p4T+paKMEctLwnfjHb795BZfXe7wl7/5HHUNbXbsQzhQHfd8YNy0CupXIyaMGB8D0osL+jFhe3p1j5fbA9JvBgzfCW4X+sx8IzgfK+Q24/b+grtxxloicgl4OY3AL44IsyDfVCIdnhLWDxz3pocCVEH3FHj+DAbTj7QFqWhCpF0nyNpRbDOxGPz10y0euxFjv2KIBXOOwMgircQKCUTgiSg+nA745vHWmmKBsdxPXxBTxfw0Qp5SE2iqPfDypyuGNxMuv7zBza9is321/VMH67ifiebxfKB75nNcb4H5XeXZdjHU3hRQqyDcz3h9vKCLBae+oIuViNFQUYa1KRoDQL0RTK8Noh2oDTp/EvBSyL29/zv6wfXXRMlSg4L7PJ1BDvvsqueK8w+4URnPCYYP3LPl0OEZN9A3gs+Oz1hq5HNcI8IkTf15veWf3/7qNRAUUYVjhS6CZOdmmEmFpOia8qL7CkyBMeKZ71GTYLkPLa/LRyAvv696e/36g5Nc7QNUjBxuAZu/ZOfwpQjWJTWuJcR/gRukf6lIE5O4xvUpfFhSXSzFy39by1qj2GFdrSJR7HM7LJYvNNj0IlY1Z4u9zBHpISJNTOTiohgfFHGuWG8oU90CTgW6s4k5JUEdjKNbWAFd5gQJivLUI1yCKfptCcXewStghyNhf9pXyqhnclIdkt3Gl/iSVd1EbwYeRHJZIPNCReM+EEa2lua4YTxGwIIDUyTMR2v5d0CNPChubhYsS0R+6WjwF0Gy2azpQsfsQQaADTZXFIoKTel76X3IBeGyGn+SP+OO2RMSr8763FIGBYrxQyFULTEQ6c4shnA9LGCdKxCcB0cnUXq0JFl0u+5WpbeqsAdcIfO5x9kIM30H7Obb/c4Ee/t7WDeYk0NnykwV0ay08XgOLaHzpMUPTcICt4NeZjB5E5gADRrMyiu815Vxvwdswf8spBV3gXDiJTDBNZh3U530+YYAYCMYAAsKCqt5HuzpFKExIAOsli+s+AfjnoVsYjbLlsCUAZudmVopx4hVaIi2j+noIEyK6yoIrWNegcwkV0qxok2AwBJgLzp40umbK20Ft7qrRLakp1VcpXFS9hVxURhsnXBp+Vh3wEl5/j1XbvWRJCIsRglaF44wStpp8g5zC6y3JPcK+SFo8EtX4uY+NjimbEIeavNbc5GtaAT6tHRmpznOhfe1FshHQjxX95aiFSuZ5Pps4RrFglEGkOXilUYApoYdVjSINP2eIXNy3ZKa1jlnsgnL71ri23jD21pwnXfPy2yZ3RqKaO0LVw2e6N0fmP+1Lgzg0P1dx8WSMygTaFQqUmpnVXT7ARdN4/tLe34bP5CBjYv0Ve/Ihd195q3TCJhfV232I7lS4R2AdpHV8WkFKqCHDrWjaNgeFuw240Ey6SdWwHRfNDHB7V/of5ofWmtLcGXJmy0HAKsaWsF8YwrQxE3l/j+abVPFtrZ1IWw2bIUAG+US59qeDwCEtSKudaOLCFCG0ar2dlZEV0YXjj+KljisfK6tY7m63e327vdoh/CaQqODbDx5sy0I4iliOhjfaPXF3WzT17qp9upmR9uIMzRYPkBRu/5ZtwKvcE9zHbjnNQHFeIdrYScr2M/kHFGmRL++cN/5Newa1G1vtm6x74egiFboVxWQiSEtgUkvxg2M2CZZeCzVAbpPcA8FoSuotYPOEQ3xUPeoGBef2/az78ew8tzl+VtYqBuCPWtCPUMBvPbre8wnJqjBXRF14xSC8abPJw8+C9pEpuJcsd6amJw/L3uke15uLNooca6Lws8N7T42/2sNdQX6F8XwoaAcAspAioHHB9GSUlc9R5A23tFnnm90DfoKb4xosLnn03YvnAihVwXEvQHEVREemETPbwSvjhecxwFxjuheCoYPXKfLc8LjMuL95Yj67UARs9cCHQumhdXvZaakOcfYBI54OhuFbWYMv84B3UNAnnu8/nfA6788Yb3vcXkXid7pK8bjgp+8fsDPbt7j/XLE+/mIaekQPjAOP3eCOlAAtXtiYWWxZ5vO/BkKs1nRWzdIOkdS2vmahOKIAKZzjzUlzsvtKNYUOhaOUpcRAuf6CoyK9djTlo8ZMVX80bsH/OD4iD/DH+Hy/q6d0zUC95+/4F998Sv8d/lPMZ8OFEV9MvswYcPQmlfA+O0mmkkaClBeZdRLJCUGjroQhKC4HyYMKWPs6UBK5c/0qaDYNcdAyPndMKOq4OF8oHL0bcJs0O7D1wvCzCaZJsHjHw9Y7m0W9kT0BaxQNb/lOKJ4EXQn7qPumTHq9BJQDhHzMSHXSDSIoWTjKs3PlYF7q/82bnY9sqFXDWFJFJdztQUIFZIqFGyeeJFJE4tLPqZzeVNR/1MJT4UpA13H7i0YoFdJ4AxOBr5dEEAC1kwebDKHyoCbQ+43WBm9cZwjKGJhSZAFRe0lSv7IrvLmB6p3dPtnKjTWnovdPQvqFJHXAx76AfElsspoyUGNgtIxEqv2mRqsUrdzaOnCA62MgrWmDYIBIJ4Mq78wQWxJhUOZbNWdXxIu5LPxL1Y9tyq6KxqW0QIfhwGLIJ5zC1I1Ra7ZOaOmgHKgU/Kun6iyiwxzlm0Nt4NMisncz5Ed3MV4gfPWuQBcBdKcPsBrsE6N54RSmACgS9C+25KCXNGdM+rCSlLtw/ZcBag2emh4rOifGVB7sDC+ty7WhQGMeiW2Ec2sa2QBqx9Ovkk8wHGl150ZMeAqoKrvkoFl5Vfdgf5rZedLqATL+YTW+S0RcYqIo0BfBKiR9jSw4t8/BJsfqXaoW9fCOvMOHw0rnU/piHP0UULko9l9+oHsMCYLYErve8SCKRHoKUJtJmK6oEEG9+OsGifKICrtdq04EmYwGbWZjHWxxNT4MOlEJdvG+fTOsuyCEvtSq77TUVhX4UoYBhuM8GMaRN0CbUW8hlJaYqBOW9i9WvDvRQFlxR12IEoRFq8mHtRp8op7bYFyG6ECsKtlnCfO3rTrrVuy7fZydSkqCKBYnWC3F+PWeRbjM/qooj2MnsHF5ufa7+2SGwjQmdoubdvsbaoIpSJcMm3NuoSSTVytlqvrvl53tM/2w1BFG/KgPbq6dafShYnHpgRMyLcUKmZrEsSpYnzP+yjDzr7hwcp2zy3gFliQxwCgTALpDNWeDBJb2CkjFE833+vr7Qlp3JKwsFqVPQLBq8O21OnCSCW4P1zQ0AWerNZklfHeO7nKolrHgoDDcr0rtZ+9vLdtik/Rv2sIwNCx2FPBrlVPe6s9R56VPjAh8MegO1uvaB3taNC57gRTU7fChwX0rQCy5FZ0A3ZJuKnJb7a8SxgNFhxmIdFXdrbscDJlwLmnAIWlNr/3sbp34w4uG1JDCgsACUxsOF4MrTPe4Kauzl4Uwe5HphWYF6Bs3PPuZUUcEzuPBjd2P1qhzYYoVGdzZazQGCZyq9N504do88ftWtpzMJ8MteA8YYNX7l7efdUIFKMSOZQQTx1FYI4ZqcuGFLNu5bQLUg0C20bigPtruWfHiWrWgNSIOZEPeWmjsiK5pGfZiUPZ/ToE0vxRjRxdIkNF6gtCrFgGKjhL9XhJ4UKBabbCtG7J8pa4UREcc6Vflk0hPGRF/2LNgMMmgMPnwoQes6DaN+qJ4Ww6B/jMZkcsOWJhr07uibgnsMBOFwHbn5xDzgQ+27XFRdGdqqE1QkP9+RotryInFqiyEeLNFjvj2tm9h/pntJ9zapmrbrfk2/dD3XxU7XndcWYMGJbNwF5+kCB3wQq9it/8+i3kHHH6QcDlXY/lNZBtTNa/+fILlByhNxklB6RvO8S5x3JXMd2yk7oVPzYRNYeor8fAUaEDC9nLfcL8bsByG7DccWa6zBGXpxF/sXyOv0qfGJVDsF46DDdGYwlgtzgB6ysTFDMK3fKaDRqPPcqgyK/p4LWzUTOjovaV+9VGH+olImtCWSLmvkPJ5PciKbr+WkOlzBHpOaIMinCn6IcV78YTfjw+4OndAX8dKp6/vcHhmx5xAZ5+eY//9uXnqOeE+roiTqFB3olcU4RnThtwiHo1HaIarfD4TcemwsW+b5SX+csj/u3zQKXkoAhRcTjOEFGcz4PRDkDaZAAe0wGqwHqmnHI4R9uzwHqbEMaI9YYjh/LRchz7vGbznosVjss6fkn4dXexpPygkNcL1kuH/+Hf/cSM0OLPXrG8hhWixXIjbFSQLIYu2pAzgm3k5zIIYqrIQ2VHvxM8/yQizFYs8rO86X/8x19/uPDUaUI4dqz67iCFIffQlVWtsHKe6/DeK7qW4T9ugiAOBRPjJKXzCo2hBb0bHpvOGgCCw6OxOUy1Cli8VHRPFdMnHebXPGCHD/xeeYjQEBscsB1KCTY4GRscOsIk19GcUf9Ex5RvrItgM0j5uRvm3IUBfPyLd4T9AUO5UXVWCj/1xgVN0lQTS+Vn1GTexQKScJqZSAYBQjIuxgy9HbC8GXktk80HrCZyYNX0/SFcOw6UliLQp55VqEeH+uiGiZ88GDJImM0XlKIt6JdosDCDkerQo452bVOG1IL0ODOB/+SAdQysNE7b84MAh29XpOcF6/2A+U1CXBSHr2aE1eGfgnJMFCbb8XjipZBL8OJJlqAOZg+2H4IlMLxAbDzcCsTzCplWyLSgXi6ouyRXcwHUDo9oSWiuiI8TwhTRnzqUgQWT7sUONUs8+ydtB26aGWCmh5mdEYDBbQADxC5ChsRDC7Cg1vh4ukH8vPvtrzAw02EAaX9ah9ThuC2xM/5bXHejTio7PB6MexcqXQBdTARFwHE57rAqxWHG97SNNFvV2TsjcdfZ6lxkTNv+8q89ZDpEQzA4B9SRCLUyKcN22LvStSCZH+Bz2at5M6HZkm5W+Lkm/aMlOBOTsnSphOFnE7MydXDZc3JzAVzYI3lLWIjps2cIL0ZZAM9xRsFpZRusUeyZW2GDz64YOiFf0wC8M2b0A4pvifE00YKiuGx7vvElsyUUU6Z/XjMkFxZySr1Kchu0c5coS/ERTQHdubaOrXf5ff+JwTO7k3VnbG6xlEokR67AoUOJgnRe0b/P0BQwvxvNxlm4IoqgtuQYYAGsdgFpolI5RxURng0BCmjjLkwX5008rM2Sjc6Zle28CDBF4y2yZWGT75usABLyljzE1YNtXmc+BBurBM4u7BR15CGsYh1hG3ECsKiCq9nl2NmLtERRU9eegUJQxtRGOWkKTfRu61TvChwVRIVUBhCSub/jwpFb3ZPjMJmcymUlImj3krXSzsbBMPJ1K7S4bRsqINQKiRHaBZQjrzvY6CHSD3bOalf0YIG0QnuONCG50Xy2Qf79pVnbmJAGfweLBiwAa9s7KIows1gp00IhwTq190qPE0R6lDHxPBCgFkG2wmRLFA0pUDuKt4gC3ZN3CNFoSLQzXMPYLdAlIgPNHzmUsXE/dSvUt/mvJtAVV6B/z4Lw6voKVoj2PeicT+fvx9n3Lbu78xtBOSi6J0E60ZeLpi3mAtrYwH1MtCW5W/GYDxaIdyvGcaVCc6hMVIogIyIfKELmavD9STF8t3L/2dxywM7nTpA7vqnz7ig6KhieC9K5YHqTsL6TDf6vQFwEBYqYmSR4Q2SPyuhevFCv6F4K9lMqmmbCqqRv2L9TNC5YUU3g8On1RhrNBGDAP7yf2V2du40iosD8KuLyjn656W14FzxSm4HJNdfH51/7GcOiH3+/O1Um6lNBnIqN/QnNbxDxYH5zrQgvC2LeijmnP1LIbaWfmwTH/9CjdsDLTys1Ke5WpL4AjwPKX9+iHCuGL84oOeLm3xxx96uC86cBl0861EGxvFJLXJisJB9BF4DFumzlWIBDwfw64fRFRB5N9LFjE0gvgnTqESegDkyyYwCWVzS6MAfERZAPinLgA5fECkI9FFQF4pcDDh+A+Q3QvZ7QdQX5DacURFEkQevOLnNC/cAOaz4E5DEyDsiCOlSEVxV9ypjXDjkH4BLRPQrkBsDnBcdhxY/GB/zp+DV+NHzA+V2P/+vxn+Px//dD9E+KV38RUYYDzj+skB9OyHNkYUzBEWRRIY8dumfd0EUJmF8zzkoXcDzRrtCRjzyHuifyCwgtVuSD4vIF76s89kQcwf0JqfRQoD9zP9TI4pwmYH7FBuD0NiCPVnCzOKSN5fK4RK0B+QS8+g8LpCryIVL86Qh8/skTvvoPn+Dt/8ARjdOnLG7kVxXldYZcIp91YNEX7mNMaT4fzUeaHacXntvrK8EwkhO+Vup9rK8Ztw3fRPSPdp1WaPmHvP7wJDfn1uEC0Dan5IoQbEasc892wbEUHrocJq9GxLcqtiVPqIU8t2gk/wRQTGYH72sCNH74aTs0KHCkrX3uMwUdGrIXQNhzwbSptPLvHNfjN2x/+Hsv112IaKq/jSdkEBWvdlWr0rowCWRL8L2irUFbQNZ4yJa0QQQ1BUgKrPJ7YG0VdSlU2OM1WiCiWwDUxFh0d/9g4iNraIIEIaN1tq6qn7kaV26rFgP2XFJoQf3vwMOsu+CBnHeGmnNXuVIqhVD5Mk3GO1k4b1d81ENmh2rPWaFdbQdZjQENP21V1rCwq9WSAAUDMe/YAUAMkL7nfZj8OirFdmQHVWWya7dnMKJNREwaRJ0dIOsQzgZV3geMQFMKFRQEcbiNVelcTMxFO+xcwW4fBLMzWLBfPagSQj7CzJ8hV22zdYeW0e74O03ARb0aYvYR0ILzBpNe/Pq296via7DtGQ3YxJ6SdeKjNN/QPncncnT1+hgu7vZlsEoNYSuExQ22Lmr3bTUKNeioC3/E1TjSqz8fg9f6+KvGCa7bZ0Z2jncKY7QlABrt+l34BqUtRGu47YVNzPdFn0nanrXtF1SIt5CisG1Z7RoQmqhYsP3oSXJbtrJBYaUUQqxdKK790K5L50lu3TqK4oGuVlTrTLaKr9+Hbt2sa6iyJd3O4yyKOOVtLdVpKJa82q1u12PPOsLuQZp/lcx8yAP0hlJYDHJvnVYXqWvdLUtuxR7PlX6E3Yt31ho02jmGurN3C4C9K9wS52hFh/blyY45Xjs72sftTdufTUxXHXn+CdpVlB20koZVrRDcPtLOWCZAloDZ7Plgyshw37fnrYrwXFFt5833vdr1RwvILdFE1aYJIVd7R5pf9s/caAgg7z2FloC0h1+3NdCy8X6db6tR+HsNEq9XPPm9KOLmkMBiovF321gfCW393E5c2CZAIAPXzLmehIo6KsbjAe86iymmWmGyMg666vhV30huB1sCr77/K8zmFVgCckjbGL1djNEoOA5bLoLoPOoF0IuhCFxnZDaIYLBzx3ykd3ZCNbux9208XPv5ugYsIeIwVsTgRofm633Uj6Piam9rX+knPZjXANJTFM13h6I8Z3TbG/sE2/dnKNLim31SHn302oWaGdGoUQ0ZYs89LlZAbYVJRaxqUg30rdxThhzYnUtSgTKmtuYek3jSGg351lTvgRaXbkUEvba1XUc3TWooM+PaAm0WdvNVjk7bFyE+4uSmZ0E5CueW2tggMbtWBTQHlKBA5Bxe7RV5TSiGaPECsRfP+wce1P5cNFmzx2KLuHB8TLX78TVIE1AzANgzdrjqAvSLKXbHbRyRArZvBBzJZPblI4iAthZ56lBLRIjUC1EF1f6VzrHkgO5EnZva0VciWxMAAesaEYIi50BUZVKs95wDf+gKRBS/vLzBXDsMYcUQMnINWG8AjkyCqWML8hyBJTRevaxiUHtO4mj7255BXNFmz4dVjNeOTczK9puj52IE1nNCiUpEybI96z16JKwCWYGgJnYLNG0StVgr99aVNZ2AvZ3SP8ESUlZwOLecz/rpPHL9KqwpQORhOQq0k4YAYx4hZvuW1drntH1bWJAKWREuAcsSqcVknSmZY6PjEQUpqO8D4rITH/l7Xn84J/c8Q8LMoKhLqAaxilNhghZ58xQFYsBByClw+GZFellsQWsLWBEUYVqJWe8itIuoyTxn2ipX6VKZGO8hl2dC8nzAe5oUwyM9pKsk54MZu3Hi9jCqFtybAmrI7ExAOAaFkBNtB0N34oNKEwNTr8LGi5rQyObw5tfBBryTj9Fa+WIHWWXVQ3tFXRXlIECQFjyyus8gJMfRLIWGG+aMsJD7Onz3DISA8uoGOkRIDpASob2YaIIdyGIKa6DhdE82+sOgfof3BcPDijJQAKR1uCxA2nMVtYsoNwMPhBewu+sdLQ9adrF0nHYQSYOMBR+RIjxAZKkYv7psVXkA6GnY8ZLRPZFfkG+sc7CHqa0FGiOidRVg0Di/nj1XSyYb25Ei+YhDD3n7GqFMwLNdY14ASdAYGbivGYoEHXtoDOgfM+JM3gmhw9o4SRscmvDksBQTLbpONlowO61ADKjHnsI0KxiweFdQQASBSIMyx6Wif+Iei8sGBWGlWTeercNALXihozWOkDnhUBSxWCfaD7g25kVbINECO+dAmtPysSyukq1RUQ4K7SvCLSvHi/SoRTiKs9t44y252wU1KsJzzQsMe0htDKiHjv7BoMO1D6jDViSCCqHiyxZoe5c6ZBe8U6RLRjyttA8LvltiuGZ2cFOEHkd+lgfSy8rvdWkzcRsxJcG6/nYYaQooNwN8RqeUCpkqwrwyUR/iljB4l614kroVYTQE6JggNTGxWDIDuNm6s4kCWJIr5DJvSaWJ0bVXSlS785eN/QIAjRHouObpZTE/w25iGSOF/fbQ6IX2nk4Z8bxszzPACjYR4WWCXGZo36He0IellwUIgrV0yDexIXsE2IpWld1WyYo0VUgVlEuAzsD4HlfQ+7go+qd6lez7e2gKpAMIf879agvgvWjkoI15E7pz6HQ0xELpA3QE8uiiSo6MqRaMW3IbnTtt+8sVu8GzwpFJqNr8JlLkzEYvxhmdwrnmIhUiAXGuhFP2gerd1RL8mUVkKaBeRQG653w1Jgi1NuQUlpVIiaGHjt1md/5yaoxV2KSQP1mPHTnnJtAmU0Z6uvAsHwivdh0JWQ0FIQJ0adsntUK0a4VQ/1yxQpKshT+XGAsAaOJYdexRD0QLhdnOHEuu255VpZ3vNBbyfY9hAcLLDA0BMQXk2w7yhlU3H+knhYJ6eQQ7uRUY3ivGhw3uDaD9v9NQ1rsOOgifw0umD6txg6y2LWjj+Ex/IRSw8OIFBy+0QNAZAi1dTMzSdBDEfGhNmwhSnEFeoALDd4oh2Bi1Iz9jeGD8k29hwpdMOBq6ZgWO31TERfH848iuU2ddmQDgscPaJaRPK27HufGFgW0fCXMI5INgetchLhXdM9dHijczKB4nBShDABT8GcVG1QJjRkdHaQDUElmHaBNGyc/vnxTpzLhv+LDwDDLECxEyFanuksdEm46nlfvh2KMckn1egCzAMJkPttssQ8D58+7q2ffPFHCTooiTo3zQEHQ1CtJU0b0UE2OMaM0LoHV941wxPKxbwwDAetdhvjOROoPWe6HE97RUhfYJGrew/tN/veK7/3rE/GlGvXTwWaxxMpXdRaAxQV6vePXZM85Tj/WrA9KZCfV8H+jnA9A9A3e/KoAALz+IFP+5UUzvOCLp/m8V9QIsdwHlSHqEZGC41KYXkgfa6eVzwXqvGL8R3P2yYrkRPP2p6YIIOemyCpInMlYPckSYqAmtVUH6DbvT+bMZ3ZiRl0R+eFDkVIGXDnd/CwyPBd/+i4jyeQbmHv2joPaC6TggjySfqwLd3YLbL54QgyLFglID/vu//in0nNC/mfCTTz7geRpw/lFhk8sK9bIKuq962qVRv/Qc4RMmLp9x79TI+On4W8ZmD/8IkB9dkJ96DF+l1qGHEOFZe0U6B3RPrizdEek3bY0UyWhCsgCRHeKMRiviLffSEkx2TSvCj85YHgeMv+5a80MUUBM7LSPw+MfJbJ6+IZ0V89/coX+gMrJU8ow1cX+uIJUiFHZob39lXN43LAjEaUNaOULUeenLq4TTqwGw+eRlihi+C+heiPztT4rDdyxc5aXgr/Eff/3PMEKotmBNO8BH2jAgsK5IdXU944+Y+mqcGfA7DEq7iNpFVvMreLBFegkp1fiqchVQSwUUFrhVh6EQZgV1wSp7sMVUPE0ZTZJypn1Fq655YrJVy+yhA7jCq9vvcRTCrjsWgCr+Hu6MrItqifMeKtc6qwCaqIV9eBMR2XdMgO+tsGsMULFK9rzwUIcFJd5lkO3zWleguEAWOcTuWH1kiawVEgMkbV2mDS7qZUi7Xns+LdKvYFL50cshwiGzeHDVuLuq9GhTsG1Kza6g6arOZmtXnUCr6gNAWIIlhfq7STfAjqoFWmrQUA+u2rig/b3u7nd/4SErsFTCHjXsbEKte8y1JEyvbp3Bj99z//9FjWuhrbKJqnz0Vtn0SrRkIEQmAm12YAQLRuuGJmicMdAOrlAM+3/zRNi/b4FXyHyubabg/tnZ77ui6lVFPykQOdux6wrWVC34d9vc8Wnt967fV/A7L3tOrja7hwdewTZtnQK8c4/W+fbuS1ht9qfBRlsXao9K8Odie1k+/p6rLPszbP8OuOIezy7CT9vYk8LgX0KgqM/Ht1rpY/dCUaIKZCo/erdWivJ9ig+dAn2oJdyb3f6u/2ivfTIct3/z7lpYCsfhBIfUbQZAMSETtnKBvGBD4X0sWNV2r20dCjt2zT53/t3vte1r8S7Q1g2IM7snbvOxCQ8xqdXmG9CCJd3Zvvuc5ufh9o6tgNMKoHv7w//E2780ybIk6YHYp2bm7hGRmed1n3Wrq7r6NXgIMRBCAAxlBoQI/wc3XHOHHZZYYc8d/wGHws1wR8oIORiOQIRszJBCEEA/0NVdXV23qu6955WZ8XB3M1MuPlUzjzynappSLQyRc889mREe7mZqZqr6ffppFw9ztpLRw+zGW6DydA/vc+vv9X1aOpLpyO+TF8fDUFtDZvo6VYgJ1HTlYavNXmujEPuZ2+zd9zc/W4I2FPXqtWXkbMoCru4tk3ZKxRWfT2VCyFhfLgC5ZQ5crT3YmAVfV+X6Ozd9q8WTRW5z/toib6al0H7F3k78zsTlKUY5bo4e6A8gAzFYX05LCpLirlfTIxV9j3fWjZ+Xgn7eNd0B81+CNqGhdr3NXEoFUKxkxNCvsKAxVPxzjtRufYvm27gpBduKnu7vtsdzbOxzRulVISqtSZs4kvthfXw5V60cpSG5MAabIbbY3G/zvZxl1mu5ydyT7m9ZUpZ167YHKIx1Zsw3Q6Jb2zUX4YyBbeuw8RHsTxNIe/LyvantQXWDBqsywRX7Nf09KMq2lEvvS+t7AGBrcaGjuC0v8O9szAqvE3az8OWUpSXoHZUWp/4DLOvYHJ7xUtFE82zOmvirggm2CurbKPVhnCVAoaBNK7AKlouItP1RA6ylzvVcibWgesq0ox8izS4AltiEKTa2Vxvz0ufbKf4iAkT6Q45Qun03hfAcAHsuRYD3Su6+vVzZvOQAXRWbug/cTkzSrjWgVIEuAeESUEpAVSFFf6qoMcBF42IOFtzZ+Al62WNj+WgTlnXVdR0UN4cZ93NkYrn286KOyu9Zu506ektxKjS2kSquRDa3Pl0rE/WY5UO3vL1azAEDLKx0pyf+pGkAeDLa2wA6aObPDDDJGrJiuSUoQ+FVQ4Bnt2H6QmEBZA70MYYCClr6OrcE8UqGBpbykbv/8PWb05VvD0DcwMaGtsTzChVB2EfEyJYzN/PmppQOU/83D7PQDroClAIpsVOZqkKWgul1adcQVZRdwroXiIQWQLkDGpaK8dGcaLvNZCgiWy9gcy0YGqGQu9gOo8Xa15SdtCxMumhDevk7NNQsnXm9vKeDpc9D/7ypFcaZWY98S2df8qae8mLZ2jMaVbqMwrhVfTO04d44J/UwACkghABNAeurHcoUsN7GhuDyM2hN26FqNbhU4PNAxhdBPiRDLzYqqbaZiyrVnU8XeF1iFUEYuFBlzZBThqZIdGBTaxmWsnkWpYNnjg/rvGyhuMKn3/slk+7oNLmiGN6eOZ8TUSbP9kMVwRAlr2t0NWodB+hh4jVisPugsJHMC/T9w1UNl7qT9dT+rSZNFKgzUTu1Fgg1Wtb0lBGyHXpew+Lf54HS08PW14Aa6hPAgMGuIaZEKSVAiyeQ+Pt04s5DlNc3TLlGtvzQdSp6FaN324YYrC2QO2ZOszMn0B0JjUAZxA4dBjLrDbrM+0GpqPdsQRoKbg8z9uOKnAPmJaLU3iYim3AJQKpmWCvCaUVrHeQ0YQBIkawRm1dUEL21jH2ca6MvQ3UjQMY1Q4EiUx32Ola3t8LNQEAbRrFyDBdRy4W/W9YeFHqZxrygt+EJ/J1/HgCsPlUtyIN6gNoDZAnCwy7A7NGQVbePUoxmq4ju2HsgDKChzP5cbnPbQCEE/jvnjdcDaDakLfH7nfrplOdQa3tWDQmdvmsJsao92JCO9CJvhLgS91aqwLMO3RWpAXDe59zmnO+l+u62Th0yWD05HSNn9nh9MASk8UYBqtNv+57KZzDHyx2EkU5ko6P6PuuMHEFT+PVXGdmKIe/JwkGy9SrmjNUAsfYrUGs3k6O17cn87v1gtkDdhTqaKBIAFzVjTS4dxIYEx9C6AmjgmVNGSyKbqmw6W+/MShvy4IWUZHO206a+YCO01hBRnzdjWik6MoYZG3o+oPvJkqs2dhv2hQ6JNujXDAEIATKvkMcz98+RbDBJrLFDLpDL0oUMA++Fhyr3eFkLGQsiqHd7XjebinguUDW9i2boYIC7rECaUHcDNAnGh4p6EVLzBqGGwrmiTKEJI4VM6mHrQW0J27BWxOOKsGRMRZGOrFHOe3OzKhBmQzxMfG14WKlzEAfWl4NzHRejGUev0+uJw3RSDCdFGQTrHe1weOB8e997FbSWcFflKMqfzztzkFe0NoeOljpSdn7Jc7ROfM5yC+RPV0iqiEOFhIqUCi5rwjBk4BlwCSPyPVsPujJyuqChpmUK5mjXa0dbYF0wugI3A1YFjC3RErBFMZjInZcHSFFMJoo5PlS29guC5eV0xUCqQ4BEQb4ZsN7Fq2A/H/hv3ye8bZtGwXJHFD5dyPqRws4PPUmgJvpUTNFfDKGi9x+W0MbVRTO9pKYJfRUgrgyc1mfjVWKsWhKkAQRLxfDuAlkLys1ovg/Pv7xpDff4WyPXy8OA4cjep+uB9a46KWAB4O4nI8L/MGK/Ay6fMBA7f+6+GhMs+QC8/22uv/kFazClAsN7+h33v23tKe/oFwxH2uL504D5U4WswP4bBjl15P643gruf5iwPAfiHzzgbjfj7es74JigVgaAlb2HIUCdKnRSlEGJVQiYuBEFloB1mSCLNIRVB+7tD78jOC4UiU0/H+lv3NDevU5YCv21fAn4q4XdUmIqCEHx6Zf32A8r/ievfo7/4tmf4g8ffwf/1eu/T2q48FnqZPvLTJRVEzB/f8F4tyB/u8f42pF7A9pga7QC85Igx4Tdd/x53gOagGVQpLsVZVdwvo2QNWB4GxCyoOx4/8nUj5FZRuEJCdq0Yn1VEc4Cec3y0bTStm//IkB/eoudaaeomFCWdwcYFekxtNZMyYLaNfaAOZmeznpLfYz1rqLeZqCKzU9C3gnZhQawucDvlj3YwLcCHH4WTWwuwqWI1ls+m1SecedXEeVpUvNXvH5zunJKPCi97kp886RjF7KiVkV6XJHeXWiQk1NILStkTr8UhfoBa7VcWms7zLwu0YUlPNCRgRtQY8zYhgbLRmJVqFANDjCE0mpdPdPvm4mjEVQKdBESabUunc7GwECUh433OIszTFlarF2PCwmgi+xsjLA1MlcAcNEU0pw8E+8ZoSv1VgCOuIi6aqmjQCNqCsh7Ugrz1NvDcNxtDGyDdvqyK0y6iAYDpQBv7wCj6zHzb8mIXKDrCtSJB7E70EmBSwHOF8huYpC7ve+iCDAKkClG1zEygFtNjMSQLTqL0bK8K52WaQSSHZYnFs7KmNB6OGro9DhVyGB2umZgXiDBFfA2f0C7w5pRTyfUslzf8zZIxHYcBEBGyBaQO+1+l4zGaSJCA+lm/bMWAFU1EaOnQS5bMwnA0s4I1mI7HQ8GtqhA4nUQqxYIUPyJtrhFyf3Vaq3NefPgnIcvDyYNDGT5frQsf1gVdYueWr15bSqzRi8a2YNuskbr+2HFw5ixDExeacRGhZkUIpfJDz72xsxotf+J1N7tmnA6v9O+ajQHFPazVpeF5oBsRZqYOReiR4Fj3moKU+xB9rZutVQ0BVoXcQqBAXF0R9vr6mVj7z0ocFQKYFCtwRS8Q7hGcM12WkCOgivq9nZet0yBVguq0EJmBmplL2LdpvaBK1oqQPsu2unXABAUkmNz7sLKALtRYMsTI/PreELA77Wy3libM85rhZXBH0QosmKU1ZYQqgBqQrxEyNDrYSUr0pGfc/XpVqdkqIwKg5NWUyaetKHH5CU1w7nbkFqyioiRoSUmkCWVTmvv26gUSQlkYdQibY+vSRDcxocAnY3VIUIGU2PEgMkbYyf5QqgDxbniUoFMhoev6bQp/5AaWsabTCYLcp+MfVs3ImYT/P0H8+dzt00yOUJryY92nxtKcQuWt7+3deL2qTHyZ5cCPZ2AlChgBcA5r1IqkzGxo/9MXBiqtXLPbgwm239lWztfP7J/19pYD3XgecAyq9ASrulcMd5n9omOsZU3aSS1EVE7gp6512NeeAysEeVmxHpDN8sTitWCnbhUpMeF4owl0d8QQODX9MBUGuVRA2now1Ehe4pKQZioGU4mVjlwz18PFqz5fmG+iybSEKUCw+wK0cZ48708kGbsGhP+ueFmwTAUTAN7itYakEuk2M+0IK/RHGDuu9Wu1fwdO1ti7Qlv1wpp92edLeKi3IOBjsQ6485UpMsoKAFGy+dZxlaUlT3e98GEFo3ZETn4ZQotqerlEbVpYFjQasJtMB+wjI7S2Vwbmu9ri+VSjpzC9i2nEke4zsZ2b/K9uQlgFgUMQd0m0pqGgAKNsXiaIfMC2aWmQ1HGgLLRWJif0abCxXzKBQgTKHI6Vohlwae3wCf//oLzpwOW5wF5ZI0uoiLeJ4IyCVhemG0caI/pzOvWgUrIpHjbeJo/kG+A/NXMHszHgb1gIxOGZVIszwXzy4o/+OQNXkxn/D9POywXtk1TlVb33piN3k/VFIcRlT7Q2WiyVmuthi5CgPkl97vhnmV51epRASbsoRSi4gcCchhQo0J3bDX0xe13+P27b/GPbv8c//P9T3CsE/6P8T81t53+ggtyNaRUgP2LC7734h4/fj8hrM5rNjverI2SI8LMJISvgWL77Dit3Pt3Get5AN4zG7ZtOeWsnrZeDNyoA4DbFUUS9H3gESxAqMD+dcVwqpjvIs6fM0gto6PHVLSuF0veK+9ZgJ6csjOxmABkmYC6U4Spn0XlFFvCp7VoM9CqBrQWatViq7AA4zuOY5zdnwR0ss8pfdHluaBs65F/zes3R3JrtcCD9WqinABNPjgWUKaAcjehCZEAaMJJtTaHcks50iA8EC8ra3gsiKvTh7edztbyYy5EP9RVYLsScAEPvRoFiESK0pltd/KBB1gd6Th7hoE3Ah7oRtHIO8H5lW+QdgjYAvS6GD67fdSCXX+tt+TD113F4bMjxlRwuowoOSJfIsolIpwFECooUoWaaO7yPCFeKsa381VQE6pCN7Wmoop0Lqx52ahQc842G3nhAwY7CNrzaj8YtkI8zakx56EedpDdCB0i4jl32ukQgcMExAidEusQAdLlmjBIvw4A64/omR2zjUbNKd35CoGfn83+jJ4uS+7iPhYoiGU1NRk96bADDjs0BV/VHsD4eA4J4e4WoczAGxuzlOhkXTnogFqNmWSBbGjkFOHi9diuxZz/C4Xa5ArJAK6QVkd2q4sOmSOKDe3UkfRcjTIZmCQwu+MYACrB6LhqyQ3OsatcOhWNCIAflOAmZBTSbQ2ZU5RqFMiIjXIxP+eKynSSFOWTFXEquNnP2A0Zz6YLDmnBwzjhPBbkNdDBL7CaRkAXF9DpQRqd4WvGiBjiqkb9irNg23onwAN3S15lpwf3bDjUgrQNrb4xJdzOI9GmZqtuKy64Z7/Xrdry1kFxamZDNYshdD0Q1RRbECdFoWuGFCLBjn5J3qw9gAHiphk8VIl4ldIQsqfU+ub4B0bxWip0E+TKzYFjcrrwedL1mDMQImrbekrbXLF2srYx3O55bc17HbPZNKRa+aog5NjKXdr5UXg2eOKrMUEuwPBA3YW8i12wpt2r/WU09V7fZu00IpG67T3W2NeOt3DxxA1GMWpar58sVrO+3AHrM4q2pJu19SAVAeY4IMeIWqWtjTIKwo7PG9ae/FMFKevY7LUWsKmxLJzxITZOcSZDpIz8PROjtudZAlm8V7EnRZfc6v7V19SauSfFyHl3u94mAN1mbT1KUGjmHuzzBlUyDwIZNRoFsmgP2N2GPci2/UyHBLm94eccCfZxSZGJUmuVJyqtlrdNd1XrbW4JcffEzM5Ry1XteZkCyh3PLYSAeFqpXD1FqFaM99oSd+st6zPTRft3YZMMhgfJQNwPTFBNDPZZO2dlNdX3tNBsa32x67Y7WxC4GW6paH3hfX+mxkIFJPA+jU1Tn0nb+6rZGgKamniZiNCgEv1plEbpifi4dJR4eYGGLjtdcTcWHKYFP3r+BmMoeFwnLDXi/bzDw2Wi058U1YITr63Ne0On5wqvZ3eGkKtjOzMoT5745JmYd4bK0SViMmDRvsa1B4CinFsX2eEeQJCFZ6UFspYIDVkRzxzfsqev5PN05V+t3Oec+q/iqLQiWSKzjhHU7RCE2UqUbD9c7wbkfcBwLEiPK+JFkM6hja0H+uVgnRXsnhoNeWK7MFI1mRivz/ZA2bEmfimQLCxJ2KgrF6sjjxcGdsev+DeKQC4Bw/uAeObP3vxtAhXTGwaD8yv2qx0eifTXEVhvOO5xNuqzBVJN6daCKARFvrWkWQXGP9+14KjswIAuk63I7hMBf/LTL5CmjPL1Abt7KpqXkYGPtxldnwtzCIsgLIHffTBEfaXQUzB2wnpXoZ8s/N3bkejuQKTZ79Wp1bQbs7+7guHFjBArYqwYU8GL8YzbOOM/nL/Cvzt9Hz8+fcr9b1cRhgIJQHlMkJk2vTw3av+S8O3jDcRa/WzjCPaRFaSjIH+9g2TB4w94P2z3BqS3Cad608oK44XiX6RZc97Ge2D/nSen6XstdxSJSmdBfTMiFPpjwQSyNHF9lMFqq3e873QR6CyoMxNC25ZiTluOF9oTBDh+zxSUTSgr3QfU0w4uZDc8kP3A0iFeI17IRgE8YQLc/4FCX6wYfjZi/0s+3/je2EkHaXvc5UXAesu2aFsM6te9fvOa3FqhlwzMM2SyHdGRLBHA6IAaBfluQFgq0sMMVEAHMdEKCx62Qa45YpJLo9npFE1oJqHGQJVc2wTYr7Qyk7ql7hXl+5oqs6Luo/U6I70IuwS9Y1+zvAttQ/XXU/W+fCA8HxdgeLzOktZB6AQWtFpgb6PitT7rXcX4/SNu9zP+zie/wD6u+Pn5OR6WCfeXCcfzhOUy4JJG2wwF6azWMiJiEiD8wsSVTGXZTJbOQaSzH88ZYZYrGieAhsSRHq0N5fJkgGcQ4zmb7H53vn1+3IGp+6kJ3MQj6WLlMPKwGALkQFS5HCiQk04WaJ1JC8aQSNWrIOKpJp4wxO6gO2Lg1EtPfrioiN0bFiL8OkX2lHSkSxUodNzK7YRyMyDMBfHR7ZC/c4ETHRLk7hZShxbkYpws0DWnsNDGxJy+q5cqxGor2POt9Ho0R279cyOFWxqyu1U59fpOkR54wX6/UmANC9eOjkOvf7FrhyEY6qZtrZA2LSiaGjLkrVvc6XfmQhNW0W676k5U4gbdsu+W7XYBHk1Aua349LMHjCnjMKyIUvFqOuEmzXhYdnjcTSg5oI4JUqS1hGHrLX9eNHtr9YCbvUdsfapYYneVRs9WNdpSIDXZe3M2ETJDxMN57aJSTSHckKYgEGxQ3BbwKhptN9FRRuxU+VbTu7WNtsflNocoBZhGCv6IiVht7EqHRCG0NQMewMbYA9VNskZKhZ7P0GWFTCNkIAXWaZriNebbWvNiKW8f55s9MFfoZYaMI3TX9/T+GQZg4YIedCmuhYWCABJbXa/TRmUTnIhHCBb0e1CtQ2yJTEdG2r7uQ+mtZ0KAPBtRptgSOC5W1lAs7SgaAIjVf3lS5YrdYPatEagNYWKbE89EOyPH7X19psDzFWmouLs9I8WKMRakUHGfJhzjhKWSqSLVnJvKUgOpCa1VUhVorkzOrZlU2nFAHceOAFngVdVEaGYX3+M8DMeCeC5EsXbcV64QJoBB7nkm/deUM2Vebc4HSIlMrKRoKK/2hF2x+rsorKeutVGXfa+T82wlKgfSzcuWrWX7l1MqXYBqHLgGorR+wGL7eUtCArZ3Gn05MyhvwXjk+0QV2oS9YhOg0nod5C7jgLCPSKeMeD8bqyQAERjuSYGePz/g9DIirsD0LluNqo2j0r7qwAAEKaLsEkIgBd8FjdL5OjnltZB1CFheGMprwZMLCTqDIGS2fGILD+vRakGuVGCyYHB5RqfW+30j9H04H7Ql2mtSpDPb7LmdkwbK4EPuWeOuQucy7ylkKBlAUuzHFa/2J/yjF3+Bu3DBz9cXeJ/3+KP3X+Dt44E1kSPXXLTnrYminVDFZIn05Saxj6ydKyx/obBavaEfxXE29Vq/T6dJnjc+2pV/plaaxa4C0fQw0vsLUCvqzYQ6xMZ0iLP2dloY6LP4fmlsNqBrUPg5UiauLwa/2dh/CXU05puxhMTKJJZnEfNztq+bHmcGv56MGgfoEJFfTJjvEuJcMTyYP2v+1/psIhNkYQkPArA+31Hk9JSbYj01R7wlBIOXoQBpEeRbxfwZkwxhEUgO2L0WDA+K82eCxx8qxvfAiz82MUllQDE80s9d7wTlwLEZHtnTdb1F+5n7O45srncV+SDYfRvw8s8qyiAtyE4n0vHH94r964LlPiDvd6ij4vYbwfComF8K5le01+kdg+vTlzYfl4DhgZTdxancpvkTZvrmywvgi8/eY8kR7968QliAsiOtOCzS1YHdT79TlJuK4cUFP/j0HYIwWZOk4ovpHq/SEf/67e/i3/3iewQAgiLtMsZpRYoV9/MNEeSkWG4qx2KOeFwOkNlZGug1xBP9puEB2L0OOH+mWH40Q88R6U8HDCfF7o0gn1JTF5bMueDeIygZmN4qbn7OOWcSNqBMA8pkKvArW9ytd9VaoLufJgjMkxDVVlLMJaMxLryLAf1Czu/0hvdw/lxw+or2xDZ1DMDjAgTrzBIXtmUke8n2mLeK8bGf5XWIeP67b/FPv/9n+K/072N8O2E4apvzZfWzWjC/FOQbYHlZUeatM/irX795kBsCJIIZ4baJ9wxW2PSHBNCQQQDO0G1IVns5WtVQKwYITVwlCCRsH7BnWFl7Ga+QFL9mWBls16y9VYU6qmMZs2QE0cB7UxhaFdHa/mypbjVuDi7L0mwFeUhLQkOqPCgoOWDJEY/rhFwpmZ1C7betaIX3ABqtoVGPzBG4ojD7ODqa6j+2NimNlq2ba5nTpNqD249onfRhdKQlWhLCqGeyVsicOe6HEU0ZNhs98mOvhoqiozxVWb/3K6h1LdB1x35Th6gxkt4MQ4w9kNza5VoRLoXiOI7eqY3jFlmLoTtv29emJpHvle7A+Pe4419Yc/iB8E8bTAVK6Yjl1TP673uge/W5j718TIz+zUDR6iXz9fd7v1DWBqHRhTXR4fE+ua763YSn3Jnw8ayGNTdJQDRGgwZFLgHRxiuIYqkRyBPmklCtPUAXgTChnC174MmzNlVsEdbr+Xp0+pe/PEnexCZgAIpsaKBUnWWLMioW01lGQ4cRI1RqC2KvhjsIUaXN3DShFrF6SktgoFTO9TaRAVwHnM2GLKjQysC0bFArv8dAe5Vl7Z9VBUK0noKb67Y1YnbaUDRbH9shzgVAYEIHFmRunrd9f/vhJiHh60C11eBu6+Pb7y0p0GrwtwyGXCAiCFLwlIq+ZTVszwzJihBqQyxRlUK6ARRhMSYLVZRDU+cvk6FFNIWre+H8+X3haj/3A02dShUBCQoJzPqPsSCGihQqRLQlhjRshGYULdHS1mft5SAahTWpWwZO5o5ERoLdkNG9gglv9bZNgiZe5PfsYxZCr4v26wyp2WtjJKy527ALjfm62goKbpfFJvniDBaOl9mF217a2IUrJzt674KCRn9v68I/r3YGeIBr39cSUc6UePJ+2RyKUkBasPLedDAWgTJBXccIWE92b0HVzse6sQv7d2vJZH1WedZoP4tbv2s0ZpXXyErl/PjyROxU346MdVr+9uUopmQ0hWNSljv6eXWvG99FgFYL5yioRsF6wz6adTBky2iduqEhRpjAkr2S1eeuIaFUAdTFftBbHVVcM0/8+xUtmXRVYuDPtgEMgvlE6UxF1rxDa2vCdmFdzNBFBVEV9TA2W6LPYqI3xoTy83L7TBxLZ5TQBprIVOmJhu1HPAnl2g5E0+3aixjDxZLqvheY7ggp0raHBUCVdtJaC7ka/MD1KFWBTPutoyX5nty/tHUPa7UWzQZ5dvvYO9orlT1tibbj2t6U/oCf79jhKvEsNk7hPvS5FV6b3RbsZwGNZhuKYny/AhgQL/xAvgHKXhpy2AIscVvvNdvNtgNQdxVaOl05HQW/+MULQIW4iAW4OihgQTLQ/fqwCvAYkA88+6oK5pxQQsVjmfBQdlhq4lFWBXXlc17KyHs7xtamCGKCVCvbTEVv36Ro4lCtfNHmKS6C5WQtwiyGKIMlEU7S6PNNDNH+ZhIpwcXRmlq3zS2pwExWobJdT+x5kFZHLZX3GWtPkMUFmN4RUV9vHPxwvYf+Pf4/Gvo814mBb576mvZWf70cknP59pfP8K/09yGnZArR0vYMgJ/JFpDXRBsIPWf5a1+/eU3uNNIZA/rhWBRyvBjVbA8ZIjPxy8pdfEh2eHd6H/9tB7M7O8WyXZlPEx65EcajGed+7E5Uu5+h0SdbDalt4vHsGbsRpQZTdqZjMNyTriQlETEdvD0LKR9uLDWSFrlFaV2Fk7VRRrsJrIOUwkyLBuDyqWC95T2txwElB/w0vcSUMqaUkaRaojpAc0C8kJ4AcEHEVYlyZWC9G1sm/6rvZTso7G9HsaxNjNN4XGW3GDVIM6Bi6MCqG2evO3YqAoy2AQxMJMSHC8L9CSgVuixEj14eUIaAYWZLI4gAVpfUnHybdwCdimzopFN51R2YqwlWZvdr74Ho79Nd4mZ/zgiXGahG9fTP5YLwcEJ8b8/mm0HV7hS5PW6FWIBO8wSuAw6vyRxit3+7lsxrd+KuMvnd+VILUmQcrqmhQKNaXwUITfRn49Q50uv9UM1JDDunThWES7bDJQADs9B5R6qJU0HygdTl5RlQR4pZiW1IwQLedNImWx+8xEBJb2sql17vIiANXwV304wgirfzAbkG3F8m5DVCTfhCitFzzhXpVBFPq63/js4xQDPl3hA45lWAYWPzAqvV5wGejmZLA1vHeD2UVKvJzcoes2JOvAcVSRkDGiuCQVIkPd7vKUbo1j4dZQpEo1RCmzspFXI8d7vZUp+fBrpBgGUlXV17/Xv7jCFbcp6hxyPrGHfsHSC7CcBkCaNKFLcaYgB8kPyTGAHpdifnCzDdAJM5hS6uVS3gHgeiY2rjUysRtw3LQmarjxwHiOsvWDJMh9SQtyZ6tKxWDmHrZM1kJ8QAvSGdU8FyErdhDwYBtLZccIpvQGNnYD8wsN0Rbct7weUVaW6eSW8OQwHVSwugsz8fzyMN8Or4VivJ7Dj7KYYApFRxN83Yp3UzwnuUHIFqQjwJQAV7Vy9kz0ipCOd8ldDRGPszmC2HpQCrBWIKC9g5d0QLgXjJbf1HYa/xlrgbOiIafF+xvawedi3IAwC5rJD7R37u+R10SlYyINaWim2fnO7bviMEYBqAUnkugD6CehC9ZjglGSJk8+QCPeygh5GtgB7Ofc/zz09sE9RsxOj4jUXhpSKqRKm3/XEb+6G7O3EuiEYL1yAoz0b0bgCK5cXIes5qwl2VDhlUmnK3L6pQFHKxcUxMhsVzRjxTVKreDCwD2cXm2Lo6u5/DcSEi0lCURK9QLOGhQENfdO124snB4QToTMR0vdswalqyD42a73u+AuaQ0/kUcySXO54DeU/xGb3LSLuMw7ShwTp3TKk2u4srnu1m5ByZB3ZF1JnUxOmhGovBHF7pDroDBZq8BthQpBWmoyBw7Yjd+4qwkLIblorz5yPmFzZPJyKfnkSIi2I4ZtQYcPl8BygwvlsQzhnpuHYWxC33qHgpRuOXpmmx3nCvi2en/PPsZTvF1YLw2ujG7K4hqDE2pB9gnXC0sqFyO7Y1vE08h7lgOmeiuvsIDOB6t7r6cS7GiBzNnyXaWw4Dyn6gTT9WaO3nSToDcsv53n+jePaTjLITPH4ZSVsG5yTOwO5bBmgPv20bhAX1npwh84/XWm9t781otazeL3r/DRMI6y1p6iqsHa/Jk4IKtFZXivHHv0R6+QzHL15ifil4/L2M8dUFy/2E9DahTIr5Vfed4oltFa80RoIivFoRQkWZD5jeCG5+Bjz/0xH5ALz7uxX6coUE5XbxNuL5n1eUUXD/O0SEh/eCdBE8DCPKlwG5Brw/81z9+fQcAHDOA2KsyDlCjwmyBoQzA67hQTDeK8qONaOc0x4bQA2RnGAJT/pR8cLxS0dg/7PEGnLrk7w+V5QvZtTvRgzHYIGosTAzUAvH+PhlQlwV40PtSavM71vvKsIi9nzAzddEV+fngbTmHXDzw3vkHLHOt8Cj8Fw7VIzvIl7+hweszyacv5iQJwIRw6laC6OetAUMIBmtVO12k/3IgsPPBdM7agqETNZK3nEtff7fJmh4if1XgssXFbKyXCJeBIdfWLnmp8D8qkKM5l7OG7/p17x+cyTXHa8tmuG0JFOrRZReh2gZfEFo1EFsqYmBWRJ5+h0AWj2O/yw/QdV8owF6ZhWwDFBHl1udqZoDUyvr3+DS//Jhdi4wwPWsWPsTQGeovRmtVqHdvmedPCurAHJAjYrTPGDJEboDxliQS0QpoaneuUhOQ4m9sfn2HoDmvLqYkhd4qyE13o6gZXLd2bUDp6lPC4Ds16eDpZuv8bF3J7eL9vQAsb1cKKZRQzfXCOiOiX23hABFFyWRzfM05/ypKMrW/p5+9/Z+NsFGy+g+QeHa+56gur/ytUV1n97T5jt/5fgANB5VoIRrW64AvS65vg/dGPXHfl7RHLyreupSoIgMCLe34HMf3Max+X8iCn6bsvnMr3p5Usll9WsJyDki14CAiDknrDVgyQklB7bBKdLaYXjvXU+sNMdflazaCnhdaFvzW5s3B+UKiYPZkaMhDVEJCKhQq339wIaCAqXb4PZe+Hvp+9ZHXrr9DNDn96mdhl9hI54Q8trfp6/65Mu36+RqA/o1EwZAPvJ7JgLAAOFXfR+AhlKrArBgY4ugfWwNtTUNoHzkd/5dhlZDNqJMT43Pv8MDblUmPipaDrU/U7fxZudWe+uiFo5w9Q+hZZOvWjL4r20/1wrUam04VJBrgKpgLRF1oSqmZ7Cbc2t/S/1IImP7qtrb6kF/5Xx6SxJpSRRf2y5kJi0B3NBG309dpdz3GxGo6oe28bE9djsX/h6/TqnAUDsDY3udZqsfeW598pzbPRW4SvB9jLXVEOAKC4IjtgYRilK4C2BgEgNEmEDm9b3PNhrLq48zNuiF/bVhAPA92gMZ9Pd2lEU7grtFgs1D3SL41892/ZxSuEfrxi/ZijgB/d/+nka5B64+1+/Rfm83L7EipsLhVAa2cx0wS8aqEVkjcuUeX+vWb0Hb150JtB3Dhh4/eUQXxNyWiXUEa8Pe+si9w0sntkifwJSb0RL/7bUdK/d5ru6l32AjK4nfk9qe8XTT2Iy920dWXroa3V8FLpC6DXbbeGz8OcH12eBCPm2s1Pzoj2zPYQUBisj/T48rpCaENfZkR3hiB9sxUdsvvROJzYkTKcPSAZ9WN10IyGRPGA5W8xnML9h8R2uHGfq8Q0BWwmYeG/qZwCD5am8Ag9xYEKNijdrGj6wwXj8k5Ro3u3ZhQUBa0iWsvP+q1xOapGAKGbFJlRP17p0mxBKP0vQcCHrx940pF4goe4Cr9mxbYTWnMxMxV4TURec+8PvBoHJNgjqzprbZa6XBboV1n/p+/sNSAor5Ya2VmImDOZBx7SPaPrah9Pv1xW3B67SxWctW7lEHaWAiYKJxVXFeY/9+E9baCkNqoLsUL0JV/7/G6zcPcoEnB58FEZt6s6vApNbWciYYTclFL3QcWExv6IUiA2GAbNE4oAtjOGq1PUCNJscWRJU1nzvWPclsqKKy9gdV2VImBnif3lUdCe6OUPOnbQMqI2koYenCPNWdJD9H/cARtHoSpyToYHHIOeJ8uoUGxfHZDuO04ny/Q3iXMMyC4ZHKdeO9YjxWpMeCdNpg9ArWsRaKHnRVSwa0xVRA/ZX3AcvdplAcwHBUJGuNQcEsaYIKw0NBvCjqPrHmbakY3l4gJZuAVGUrl+c3/ZYsQ+33WffMkqYHVok3etiYoGNCHSJ0DMwE7gaiGo8zZFn7BhiD1diCqFEuliyJrQ5SDU3wujydUg+SngYQjjy4M7efSAu6rK1+C5cZqL2yXecLsB+BYQByhjaZ/sKDNW7QBLfVXxdchNCDhqps3eIHnX/O79XQM1KRHa3Nm/cINO44RrlCLhQlk3lFtDXiIjZlGKmYnRVprihj6MJptqmQUuJogCJa5swdFx46grxrkw5X+ENz3CgCkU8MZr8Nt4ihYs1M4iwPI8J9wngWjPfMeDI7WFudW8iVqIwqRe2282ZjKNZITwMz7zVxDtohvbM1YQcqKdq8P6cphyEglHRFGw2X3OqgpVYquG4DPhHOy2AOh7IdC8XxWKvo4mpSuQ/pizs0ZL/y2XRZIYkIcWMQABAdiLIWqpeLCG0P6LWtKUHu7mwNmDjVvF4xDSRGYLSU/cbGIAItH2mtMo1wSh9yYQLQv/sJm8HbZ7UEktca2/pEMeVzX8O+159nJjq97ZIzMvYT97CiRvVXrkn0Vk1iVNs2B0/swRF3naIFcz0AaIJkZGT3GM32e3esvcdpsKSiUyCrIbhOvwoLKXFAQMaIeUr4WoCUCuY5oZaI+nbE9DoiXsjoCaaCGzzYtfXv51jb51YKKDYBJxEGuoHorRqN0nUUXPhID6mdPXSGgbKLcOVqF8i5YkCpIj7O3FvFGQ0BeHZrGg/B8m0VMBTxqVq+LLZvRtZVb2nE1CKoPSm4EWLTcTBRydjWUL3d9fmVjbMvtf1MD7SVtrcB/TtygeZMyr0Ir7+fWKv4Hfq47dBqnX2spAQ0OqVsgxq1PrpEIUQVNQbSWWv/WVhLd+bcvteKoME6k1GV10Ud23nlTmNrDdX3qbRWoBIB0SAU8rR63fSO5+Tp8xF5koaKelIcYm1Bdj0C0iiYBwFqpwRKoXMcMjBe3CGnRkIeEuYSsA6FolAq+Pe77+FuuOCYJ2QN+NnDc3z37R3klDA9BK6NM1Enr4cPWRFmJq/yPrSgyZ1Y71M8PtZWk0zaMoEHDcDlhUfnaNRPbxd2eUUHeThXjPdcF8uzgc9lwlE6BBThGVjH3llDhaKeGoQMi0xQZHq9Ej09RKytxR2gay8Z2NJDXXAqWJ9cp2eHuSDkinJIWA+J7MHLpsY7UGG93F4zg8JSEFZ+Lu/o97rmRDmk3rlk7mUrsklG7l9X5EAdGdaLuhAprgKn+aVi+awgHgMOX/M5L58qstXbVhPbY7AsuP2pYnykHYdF8fhVxLu/4whjwHqyspCB6srzSyL56Uj0T4NCR+D8WcDwP/0+8j5gfkEW2OEvE/SndzhYcqPpJ4yK9dMVw82K9Zs9914BkBSSFLVEaCUCefpCWjkJUgVuVzcb+iuj4vwqNGBn+z0Q4JIThljwbH/BLmX800/+FP9g/xf43+n/DH/+7Sc8dpKa3yTQAhx/WJA+uWC9JIS3A2vfvwbGB8X504D1BlheVQw/PEJEMZ8H1DUi30QsJyZB49l0Hm6kBe818//LaHOVGYy6b3/+XLF+sSK8T9A/CQysCxBOnPdytlZOv0Xm6vosIl5CC6jHe6D8988wrcD+W/ZTf1CCkXkHvP9bd1j3ZKGWneLyCcVC6wCM7+1M3OsVHTmJQEpkC7FHsZaNXNOXTwTnz0OLsyDA0Z4lnYFnf8oOG+sN2X27t2wJdnlF7YnxneDmFxX18msQhs3rbybIBTpKYfSZLYK1raNrFLhAJ0fdOXLhF6cttyytGWKtrZF8oycBH9Q7NnGRhWIyup962xWnltpLTLxIK51TWI1Cy3Y6Evrktc1YtcyF4OqzVy/pv28Nrg1tiAa556RYAMiZvP6wsE9pWIE0KwUlLoUqkCK8X0enVQFYX1/tWIfXobXSsoimgOsK0OnCA8h7u7VbrkDyfq9DQN6HZixS1IQ/CvTu0CjibU6qOYaCRi0UF4UxxMB/p8kod5UZAikBIW2o7QDf73UzTo9wyqP3xf2Iwwsh+id2DTpR0hEZb5di16Bwjv18nqG1p4p0S38LAVBPX1oGtQyQUBsdEED/rqdo7JUxaf/bgiiVjojxIDUqswfWVXHV89TEsNjqpAfZrM0tXeTCxMLUUCFS2M1oNxtOQxiiJW8AboiOsMIOhLSxLX+fKu9B6ThpDlAAy8y+cyVH1CK08yPp+GHuzhCFNtDn3pJVotr2mGbntbb6Jrd1R2nd8WiIhfR/tzpMoI2XmtJmqJs64O3eVZ4oYgt7QqOxD0AU2QXT6vXnNbDlESoQRPpc5szHdTXkIfU5dbtZV1KltzZjgb+L7SDZGsJ6zTBwJ9/RrW3P3m3drl862ubW2iQp16yXBGzWuMgTtsNH0NvG3klMRIm9j71ZN8/ja9kSNbz1yn3mSQ2zfqTWHqoWLKWW0Gh/Ytcu2CZi2jN7AAzAM/Ae6EpbJwSAqMBs7BZjHsSZ915UMJ8HrDGhnCOQA4b7gPGeB/z4oK2hvaO47Z5KHzsNgf2IPWj0AFft2afYVGCDq6sHc+qGHujQAQQ0WRBTFbFqazXX20QpMU5LTogHkiYkKZ7Jb0kB2ahf+/rg+UwWRbJsfujMma1o4BZ9TX3v8rphDbamnf5u5Sle565Gk65jQiyKRgfYrNXeekn6uop90l2IS4eObrf7MBfk6cvnrT2zUWuDG05F7yMPGKvEfBJTt1ZY/2+nqa8WDI02z66hoHZ+GJLorc627BQoEM65zUVDeuA2bEMyKjBVoAhQBDooSiTCJSVs2Df8HOmQPRgJS2C7DwVyVMxrwpv5gEtJqBpQITjNA+SYEM7B2vvA1IvRz1u1MRRFGFhzLMZ2aWeLEjkX91VE2pr0EoHrThHamHN5z0TFcKKKM0tyzME+b+p1B0uIDt3+IV3VOYolI1bS/2sK0NvUzw2bD7eZGrudupo5O0X0bSYsGTIXYDIft5hd5wpJAWoIb51CQ/eDotWlexL3Cg1Ldt7nivBINXwdh6v9N14Uuiiq9aJvSLZc/6kTMDyfsdaJ/mcGLp8AGr2nbTvqIQpM7yv2362047VgfnHTEil5zy+4Qi5vMjQH4Bj7Oo8Mwk6fxVY+AqEQU7poo+eXkfenCYiHjLvbM968854yAKICQW35C5AoIKW7ivEZfbhSAjxrpWKK5Lst89PGwYLeUgUxCA7DipthwY/G7/C3hyNepBPF1aoA0fZE9++frfj9L7/FLx7u8Pb8HHWJFKc9VlxeMuFad4ovnj9ARPFtuMUyJ+bPI6CnwFpZRetxrYLGbNVkW+koJAB6dehB8eLTR7wLNyj7yUos6K+FzLpYHbUF+nNle570SPAiXoDdd0q68z33r9Nn7MWrEbi8CKyFHSvHdq9Yaw9c6wBgj+Y7OroNAcJMEKPVCgeWROQDWr09S0IZJA9Hwf51xXrjIntcy/FSEJfEnt5nYHpXUTZt837d668d5M7zjHnuTv/9/T3/Z1mhaeJhZY3aNQXWGNaNoyassRKhESIIg6PBsr4WtMQH+w6nlC5rD3haza+NjDt3m5YsGrV/HmBgfFnRm8yj1+N54JIiys3Us26rIlhD8mCCARiAcuCEBmv2TAPuVGIoA9JQAFkqxgfeJiXwuXFUQ3PrObA4/mzfsyRoShjO0pTnhgcaXrxorwOy2jgFrpyNRhOEBW2t2Xh3eDzo2oo9rAdBTZGL24KfuNBQ19tI1UjYpi5APQzQKULGZGgLIOcVEsxBDugUuCGyp2QUqNW9uABSox3linTkz8Kc4WrH+vzGEhsmFjYSoRAXtHG6o7BGzFWlm2NgzeeRNokUC5R07DbT0GIhAsQMcgF2EbUm4MGGLyUGuhezz+hBhdmQ1Y1LloZKtCBhg6Cpo1HjwAhyXUEebmzXlWGDkvjLa9S3QXytvW1GVYTTAheyaZ/xQNiCp7CS8u92EJIgWg9Pz/w3mkhhZjF6EOq1JTA739SGaQCqNWAvo8DVkuvI+qR8THRuVkEslM13AYTpPeuV0qma8Ia1UFGlo+0JLkO26NS4Q+vRKjb3Io029IFaui+HSmeGaJ3Z0taBjAI1DpV4Ym0bUFqiqQvdmV0vHWFXa1/ibjCVL5XBi+9v00hbCn0PdAdfEIBp5F5q++fVa0gd+fRrxgBGNltn2G2RNboCoKKi1AXAiuwJG395gBUC5GbP7/bgu6mVl44Y23q+QutS7Pe8pXB6AK9WOrB5j5zmjvxa0K7GkNjW8kuxZNI4MPBx1o6ze0oXGeT7LTj35IuVpLhjH1faoWRPtqCrqS5sPRXMqQgCxLVwT5NgwYAFukFQ3k+8ptnZ+FYwvdHWmqX12CxKVdTzuqnxtkSHJUtkM24KC+xSbxtVB0E+DHQWrb7eBV4aEp0VcuEcaRTUGjZroNcEEzlmz1iLPjYJSQuifM8Nm3ZlrjIfAmQ/tvFnEGgMG9dP8MD1impoCQhjQVwlx4te09mjNCc+PFy4qnzM3LZCgN4ezI4Vta6o6wyci9k7X+uzEVOxIGaKzakU5XemR7KY2n2ETYcCD1wBQ8d74KtDJDNC0ZJlYiJy6VQaZbzsmdCt4/X+pdH6wRfF+ECtinThOVsH11Aw5FlgbWuEeh3mcGqkHki+NZqjKLAKZA0Qb89WqLewey3Nsb5K7mRlEnLmnzKyZ3VZA05hwB+/20OiYrpZsBtXnN7tMTwEOs9nS86feE608qqtLQf6J53GiM2e5W/2Ncq/62C1nYa2kU2xEeRZOA/e/5ZIIj8b7Tpb0VCpaowkzutwqj1QNX8n37Ke2hNyjvKGpSLMljAcA0u3xIO6yFZUAgambr6WeKTyMucTQ4CawFnex3bvcams7d0na5+mSCfaQ1iMlbXjd5SbASXuoWUFSkbZtBDKe9qMZPNFDxFlx/lsLfsESCdB+ckBu4ud4RGNrpoeA6a31Oq4/GhBXgXHNwNtYhRrLSQY3/h+C3i7NDIegelrfpELKqlyr66xCxoBvMfLp/x7/43g9mcFy13A/R0D0nI/4s0cEc6BHRxGYNjzede3E8IcgEMBnq0IFoTWGlDejZA1QKcKpIq0dGS6RgbUl88rdFDoruDhSDbJdzUgpoL/w/AP8e9vf44/fPPbWC+pJYwAC4xHhbwe8R9OvwVZBMMjNXVqVOQ9WwKFnymkRnz96jlbbP3lHukkGCwR1EWi0CjgcRaUU2LsYLTlsqcBe5xw+FnA8stXuLOYQSqw3oBI7B70uzJQ342QAkyvGUzXkSi7Bp5/bJfXmW/xxPMy3xpjQmEaKr3XPDsFcB+BsJ3e8owiV/HMMT59yQRWPG+C34WB7fIFmS/j24j0SHV4r9VfXiiggjINCOvQAuO2RXyYo//o668d5P7Lf/kv8S/+xb/44OeyrsB0MFGLaNl+8DDatlcJAoBKpQLSQpyyCjGluY04i5pjh8uM+nhkS4wbHl5+sKopMnp7Cjpbjij3YFeWle89jHTcLNva2uHESOrHwKxmWBQyEpGSQkPi+0iZSKfQMiDDkRtrNOU7z+oMp4rxHZs4Xz6hnLdkHixhAWICQqahhgxMq/QaSsuEjI/VBA5sc7Neq83BdwcxSKMJs1+q0/Z6na33r/VMi7/yQZAPaHz7sAJ4VIQiWCKvGRcKApH6ZNRvo4CnhxnyeKaj4d1GNsE2gqBOEcuz1AQcSFsiwhg2lE4PEOrtjq0Y5mxy+ebYBVzR7FrNowe+aejoQVE0pctCx16qQke2FxJH0xwFFECi4Mfv/u/4s2//uw8XQExALRR3SsnaCUlvVVEqUEh9b4e1t77yYLcSYdDRqKgRwNlsNQKQ0ANgs922znK5uh0PFijkY0HDeenfbTRBdaqsUbrZiikgBq+NCAgDM34hG5nB1JXDAsRMO0+Xbt+ACWlY38hG+TJ7q8lQABdKMecbQKtLTGcqZMZFsXtHAah4ymx3UjtDQcehr28PZDxxVmpvi+P34es00dFzEZWGclS/B26gmj3wNtrYBlUUsWBOhXRbp92OqSVVYI6/AgwUrCSi7gdDeQGgNJSHNN8e5GIYNuhWDwgRAtf50NtpNVV6a8+mQ+T8zRkyL7R7v0atXXxnEzg4MvtnD/8Gf/b4hx/aue3DmjN7kx52bY2gAmIiUR+wJsxe2+c8KPZr6pM9S7XbtCF38niCHo+Q3Y6BiqPbgJ0buPpeTVTEvqp7rvyPrACytP7hYQwo6MFfo6NGpZDFSdteL4XJxU5bJPrkSA7RN0FNHhlths9RpQOdyOmtYv+mtJYlqKSDSVaEy0phvs2abcqsItC06ZdrLYjq0NH0OgSst+z7m03Ipez4vQy8zbZn7Qjo5sSXwntorZ9K6QlER+63du5DPAQUKwNw0RmwDTqFr46WCPSktCG8VwysxqyQ/txuY04F9T9OQw8BcAGqt/cUOnz+jPTmameBBOhAyj2WjD/7+b/Gn7351x+Y+XoTMd0DYc5oPYjNfqRUpGPtyRQLcNfbZM64+RAKE0bqQa8mS34U3/NJYRaY3xIE6+3QSoI8Rxr8/WZQobC1jRhl1S5Oum0iChkEG9q6UqfoxtTyJ8X6vLTEteSAcO5IUShk0Bx+WZHO2so4PEAOau0RBVaPKVjuhGyzLE2Z9vK9hPluRbhPGB4s4XMhCjqcKtKlNpZBG9/Q6/uaanF9Ur9sr1ZHHHiWLM/VRA15b/Ec2PM3A0mYsGT/0YBibUc4QXY+xO4rSQGQYIGlYnqbkU7ZGGY253urXQ197adLIVp7zna9BFhpmIuGeSuoMtjncl/jca5A8AQFWH5giSpXihYle6PUCInWlujEMrFwXg3I2KEMAfkm4S9+/t/gL//jf/3B+OWDkRlWjkE+BNLaLQClwjx74e5/CfMJ0M9MUI339uuK+zHg5afM+h+/e4U6BMwvFOsztoacXlvy3NV1R6ryDo+C3Xec8/WOe2/zlRPvsa0/AZZPCnCbsXsz4fYnR5y/POD970VoUMSHCLmPFFVK/I7DfkEpAfpwwHAvOP+g4ubZBbUK1jWirgHD+4h4FuRbQTnQXtyuNAI6KOTzCz55fsTDaYfLw0RdnHNEEcW/wQ/wZ3ef4PW7W+CyLfUA1DqyTG/I3EFg8E16OKw/csXh2wpIwpsvdpBF8OJPgd370oTWLq8CTt+zxFjp9b44BnhddY1ogk7hFxFxBm7/quL2pxfUKeL8GZMP80uWk2ninIYVGN8FhBU4fKOIF/ZMJh1dUI+WPDqglWmkC78vH2CMPzT2ktda18Eoxa+5Zy/PA/KzCnkbMJ5JOV4+p+jp8F3iWi1MLK93wO2XjygloH77zBB87oU1sdewDgXzZ1wP6T5YeRB+Jcv2Y6+/dpD7z//5P8c/+2f/rP37/v4eP/jBD/gPdzarUSi9Lnf7/1tq2ZqpQPqE2ka1Rq/Adm86McD1+prtgzV60uY7Nq0prmii3mZAeNjIwgNGpwGI0npo+sAVy6j11iakD6vxNurAyXbtIjoeZgj2le6M+AY3nLiR10XoHKhlH6s7JEbxWa8zFtE2OOQNOuHopdWeOSUKQKuvgdNMwiZrlXxzQKvJuAp+LUOiugmGG30Tlvnvc6ZRWDMdeo/QKxpw2lC2QCeguKMThYfFzIHcBrCtNVEp1IVZy4Z6GJvzwe+za4/BkicB2Pd75HfveC1TCFWRlggSSx5AFb/z+T/Bj179Y8iyItcF/81P/rfNNgFD8ITo8K98OWrWnHixP1Zv5yisOWWNmuovD249mHA0zIOUzZw09GX7rF47GjebMcBg0ZwKT0BQmKHbHWCJGDjKaWjQJjnCw976KvMjPWutYuridtBZbVewRFFHyvj/cWWdFrPjdB6k7RtotZnet/MqcPLA04c9SlML95qu1gsV/WNVgCBWFxSkOUytHUfxwAK4ao3jjra/isEQjugiNrSr1VFGgVZzaNfC7K8pdzel2A16220aLdjWMfVkCWDBB1ovzooE2Y8UB3Oqpo+h24Qha44O/t7dP8SPdv8psMzIuuBfPfzvu10FaS2EPBEk7vFcBWR9LEj5k0Z1vdp7VTcbpb1vy0rYrqUnreiuxmdIjTbuLJCu3sG5YHDERN8Vggw0m/SgJK6k+7W6RN/rCxozpxsX0RV/VgFr2tl2qjuEXfSD++t4pDov55T7v+RNnbyX4Dia7S13nPruwWCwvdT2cljA6sit97YuY0dnvEbG0SwPslvdsX/X9jE3zJbrX+jVz7w8pRijJRiDxIPW6ySIHSrNWGwdhc21HQ2FPTukU3yHyIBAFZKD0XwPkHVs/oLUyl6/Tk+OAHLB7z3/R/id3d+Dni/I9YJ/9f6/bLZQU0AYPFg3GwqAIvQA1+5PCpPNsJrY1n7P1nu2Wmrfn4MAyGilMtwfY4P4t4jhtqa3xtAdOEO261WyiJ9pLUYmp3vbUK9MIAKCeL5msThrhYEo38tkDVoyvEZcieBQbImOcLoAeO8MNHOE7wNKHjHcB+vJSafXafkUkenUXvdf2MHBfBCxfTqJ3QNtPE/Syqu85Zf3YdXEuaqrWtDkY2S1ixY1tXOr0nluXdOkj0u0et06BuQwNHVmfp7PznY6Atlzrw9LRfJ52YqECXvhxgt7g8L6UJNu3AX0uIYsAbwzAR7ZtplhkCuZfopWCh15aRUTfNISpD/4vf8Ffvt7/zmG9zPyesZ/+x/+NwCA3ZuKsNNmH04hjhe0cjtAGj1eI6iQG2HqufSDl1va8Ls3t1AF9icTnAogOnqKGI4cx/WW1wlz31vXZ31+nDXAdbABkQTQws+VMWC9Bd7/J7coo2B6K9CHbg9lr1ifVehQ8Xi/hxbBYPYkc8DxYQcRJcPQlO1lUpRdhU4VdaTwkW62pvIw4Lt8R1r1KkCR5hPN9xO+XRPKY0I8Up1fb421tXBNOBNIg3A/q91/Wg8Byy37DssqbUwI0qEFsWERaFKsd2r7vDYQgecMQS5qijhaTiDJ6flltHPAAu04y9UZlXf0feoI1EGvFM4d8Grq6ACw0A6l0E6GRyqmL3eCcsOyB09YpSOgEo0JyiSEzKHtJx47VaOmP749ABUYBqpxSyWaXCYyQvQcLfFsa6NyPOOswPw3TFeepgnTNH30d6xrNYGSRdCy9FfoAeuyJBfoZeZhcbNnz6qt87Y3GlQmEqHT0Nu3PHV+iolMudBECNCbPXRIFB6JwYIoz3xZ1vPRKNDTiHozAaqIj+6F83vKFBB23AkpSqIYHgTRapwcOtcHQFVQBxqeqyG3GgoA6cjJiHNkhi+i9bHLez7TeK9IFxZYp2NGmSIunyRUCOL9gvj2AXrYoe6H1sJBYkDes21OPK3MSq/BaDgBsg+oElov1GILuw6kM9RBoUPf9IZHaYGJSM/YAL4ADbktirIfNjRiaXVSnHtmuesUKZYAX/ydPsMaCWA4Foxrte8dzBlj4BsumTV5MSAqA7P8bIcyUfDDRWW2ipUAWvunkIF0MtT+bjCUvreAKTcD0ej3ZyIZ44AwjkBIEF2ouus2HgLEkRsTA+oBFwNGDyA0W0uVdfHFY4I5ibRhp4O6guy4icJU2X5FtdUBSwwfBKwtEF5Wq+c0565WYF5ISz3siZIB3HS1dnGZke2F4hBsgwsoJ7HeiNJp+Quzfo2pAAsQzhXp1GlRGgRFWbc03pOGzzfb4WWb6PBYrL+gU1y1o7eX3OtebSxktcz6ze5aaKahP7E5K2UKpD4Zza2MloUczWHbOPTujGntzg42AW44r0wyBA9AQ+vBDLVgypzyOlCIQXfygS1WQ+biXKzlg8J7SGNerhTn2x5njjMA6DQg3wxX11RjbnhJgosJkaZbOl0U4FgZwi9uX7kgaGA9V8E1JbRWIJLxAtUmEoiN2B8A7rE7rh+smXXJTpXe7NMdrTVEdite5fbttb4hQEbSt6/aogFsMTNEIuWOOp7nVvvpzAXUCp1G1GnP5IqNh9ewubMnhdQuvscSPavRlIsHIT2pFIrRE9H3m/FdxnBv1PghXN2vi+3Ec2ErmYFsIYDoYTjzDJJl5Vjurf71vEBKQX1xg7JPDKisXVsZQmMbAaAjeEMnJ3ubu4n7Op0l/o7PBeuDidZyiehZT1q0P8mSNWYzWoDWt9sTDhYIlF0wuiMRrqbc7OJhfu1ke5MxCXQy9H7JXWwJAKJ0KnSugAL5ZkA+xBbgSVHEw8hgdylNjFCPJ7TSghTJOrhkBBmAmwlSd8B7M/PkAouJCYyZaHONAUg8++A2oJyzeLKkgNU0131CnYI55Jz/aGUcar2bQ66kiAdBviW1XLL2PdBFmU4rRBX5bkLZW9nMJqEmdo8uIIZKm1vuzPYtaCYl3pzVGJpgjwrph+kCpEfg8C3nJu8D1oO076gjWQiSgenE5AXAcyG+A/bfcqJcyTudGByms7J0yxOmhcmdsNRO2VU7BxQYrLXbekgoe0Ee6aA3xFXoG7EGF60lUrXgFkkhYyVhZY1QUdIjhWh2PtARH06cDxf6aj7CFFFGBifjA+12uYsGAnCfSGfF7i392DIGlJGUYoDMpuGRe26cXTOC3z8cM9KbI4VMPznwfEgUr3I6OM8Qng/zs4j1AIyPStGtZL1FudkAS4UfCJLE2lQxEPTxDDFhVEW6XK7KiJ792+8Qnr9A3SXMn0w4fhFbTS1A9DAfAFTOfRnZFg0K7L/l/K63wOlL3s/+jyeEAozvlRRoAcLNCryLOHzL+vKyM1Gie47h5VPB8QcFkgW7byiwpJF+c1h4raZnE72mFzh/L+P8uwXDL0d877/LSOeCx69GrLfAw+8A428dcXkcMfx0Yt1pYMur4UGAxwllpyjPaOf1UFH3AO5WTPsVs+6wnqUNMapg9/WAOA/IBwaZUkjjlipIR+7P48q9YXmuiF/NCKHi/HjXkkvjAzPlTsX39mPH3w44f8lzOc4CBXD8PtmR6Uhqr1QGkPkgWH/njN1hwel+R+R4rIh7r2umqGodrF3RrWB+mZB3RHDLaGJzI9saDY9cP94KdXkOAGwTVHcVdY0NvT9/ySTA7uuE4YFm5+Uv7CttidtLRR0STl9ZsmlgEu32Z7Srhx8EnH5YIKtgfBu5n1pOOh8U+bYiXAT7P2OP4flVRX5esT4PTMAtwPQdSxEO31TEpeL0OcXJ4gUY3i+Icy8/+XWvvzHhKRbi2z+eolzb7LBIC1oV+CCT/EEWePPqstV6/R7d1M0pqa9aYytzbE6Vo2DbgzpY8f6md6vGLkMfikKzMMlrdQ2w5LtnFoj0omXInyIAwZHGtcJVXX3Dr16K6fS41QQpiphoA5/ngzFxxMcfUc0pSABKYHsEO4ysgPe6LtH3UGyc/M09b1VGXca9ibao19NZH79AVIfzI3BRlZrCVR1TF0ah4yTFaVLh6pDgXG3mTjxwMec/9MzUlgplbjwPo50grpYBqtLFXuDJYDW0TK++w8VNPjrevwrd0Ao3tiuE96mwT3g60ICItM80VeWPocTb3rwf/d0GGfnIq9H/DK3g/0vbeKR2YQ7J10mOq+Awb+qp6/ZZ6WgFBSCbumAATnkDgHipiLOXFhgF1+pvZSumtblu+7shnnxWR+U/9toq91398S3AssmtHYivFacQbp3/dtGn+5r92FRWSakLm+s7Umx2GoRI2kcnaLNHAh0R3q5Vs89qWf+apIsKwfbFgOacO4IrMVyL7m1RVmcS+G2o2ljJh8+r1/Pt9yTbnz1FAbfIhdv/0+t4a7ggvJdtIPyxtdBYDbX/vyXapOJ6nfkYtD3tyX4Gn28+u6NrXWmZAa6Y2iqAxswIa+3nx+YZPZkWSmWQvRayRqsFakZb57XC9Vhfod9Pntuuva0r/ICyZXv09TNux87+cnTfx9P/3oxn23cD2vgSQbYEiyVP0Wz1I3vkdr+5+jlAZR1bz36N4CU4fSy9vzuFlARimh5iidJoSa8m3rZ5Di2efMHVvTXkfrPeJfoas/c8HbsKqyn91S9PHDxtYajS50vw5PcfjI32fW17pDpjy+/f7BNiVF9BQ3klbxgKytpA389DuU5YSpC+F5a+5zfRKycbrIbA2vdSwEdQizb01lWUPdn/9NWFOqUnWNxONwFuE/40ttl23tRsW5XPxvuRNibtek++3hOToqAN+c8qIE5pNn/C0WMHJepgZS92rVIEJLv4A/l32HyWSqFHBwC8dCzb+gqCatoRxeqoa7IEfWKtK21fAe9TWcVozNqu69/dmX9yvSfYuRpWG2+7VBsTo58CfZyDIY3OZml7Sd34BI6qrYJ1jhiMkeit2NyWmvCYuH3yZ8V6xcKZKT7/AVbSJygHYNhlFAcB/IxWgUbFOGTMcaCtZ7SyM29TJEUgi5X9uKmtAYsMrE839N/XVJwZZAJyxf4C0BiXW4HCvEZIEFtTvFZ14CWB7IHVlJBHoBwqZKHYpoixJqISUQ7aes6WSTHtVzw7XLAuCWsVyFARhCiuKheSA1LOgigDk0Lb/tht/gQoI+dfsp3dVnOtUZudu4gX/ezr67hy8taXbmvWv6v0PcjPVYhe2WodlGh6id02AGOM9LW83a+236kRqLuI8tcMX3/zIDcXIFQ0QRivsdm2eRAhkhsCdA/gmQlDuGMLMPtbwaysi4yoWuZ+BXYTdDcx4Hs4ATkzQDDlTtlN3FjePwBVEe9u2HBe3ckRhEuvl9O7Ca13JtAyy6Q7WibvYpmWszeyptcsNtHpDEz3zDIM98xI57sBeR9ahpa1v8xIh5kZwzpFAEQ9h0dOHpub8zSpiZ/f//LSJ/Zmj1ZTGQLqzdQcAlGrL54XiA5Gb4Rli/sB33qQZhNrsIPQ28Z4vWI6M+huirebQ0unyFq3CwVTdGSLJmyQ62Ab6fI84fI8GO2Ci7pMdGbSyQS9AMRLaplhUUUtVLmtY6LyYAio+8RgwtF4u68aBXXq9S8aWIe5POez5X24qrUbzsyahbWyzZEC5WYEMPagwKhvUjaZouTFzUYb3Sp4AsAIqNNBHbkwdVJdV7aBsfdBhOjtBrWVjziIsqnNbUyJdj8c860qa3Ocp7HR5By5g7ffuOovabZlhw8Fx0htqob+hJWbjG9Eca5NBI29NgHvi50eTPxt6BR6KeYIGa0uHleiN0W7wrAFf43C7W1IgL6PAJ2ubwJQLrriKHFcmHjJk9WmufqzbaRecx7n/jftnIgDlSKt9Y8H0jZORCxr/z4R1N1AdsEt17w3N28OnJoy+sxkTrT5a2rXHpylSIR/+3IKdCClnyrkTCStt8FUJ5m15ZoN3elVxfBYMTxm+hxD7GJ1bmsmYAeRqyRGC8wBCAJgCqSttdGmzteF8J4mgzQGPs8Glddp4PpY1o7W+xpYVq6n3cQ9extsuU2vuaHCLj4kF2tLJsIDMlJdVFNo6qa+psNSMRwLg6USmj27/Tudl8qyvd1OelwhZzIWPqAa7tgCLayKeOR6KDsK5MVzboqqMi+QIXV1ekejpxHldg8pBXIxVsRAhoUURXrs+w+fqTZKvivDxlmhmY6BBqDOdNS9HEAy0ZRgbVbqEBqbhWwASwyPA5pI1GUBpoFrNtiea8I4daLS/nxn+7A5NXGxOvwFTWOhJRguVPzWIXHORewco13UZPMhPENWU7Jtz27JqmqBwNax370WKkyHgOAItLXxinYQNYX92ikL0/uM8bEgnFbSoXfJqLtm+8eKcMlWaxmumGAtCBfSVv0cEFUMj7md974e6hj7mvLEXnPYhGMsZtOVtGj1Gs/E8fZnbkrgSmQ3HTM0CtbbxHpO5ZykWa29hzmXHinba7kz2vGlsozKgu46CMqpB/oaujaIB30hK2uWq2I4dVtUMYd06UnOrdgTAqge3CbWnuNiyX8rw4Ddbtlzvt0ncWqmZEGtAl0D4mPAcE/fJl7oFwxHaj144FhTZ1rEhetSxfII4brtUrDzypV/758lOI3bn0EFGKGoJ0FQ7f2Ubc+ACOrzA8oh4fz5gDJIq91OF0XKFMc6fRaaZgUEmF8ILq8iHBCQQraG92ENOTaqpmz26eBCe0lQXhxQcx/jy++8wlhHhLXyuwTQAViaRoYi3lOANB84znd/SSbe+dOA+ZVgeFDcvdGGFHryQSqw/yUwvRsRz2o0WNof7GyleCUwvAsIq2B8zwBouRPkW23JLKCPcZypsguJZHAkxcMPIsISqXUwAmVfcLubcZkHlIkR8njPc/30JbB+mhEeI/Y/I9Mr31HkavpZxHiPVrqy7TSy/0Yxva8ok9h4CE5fKTQodt8IxgfF5ZVgfmXr/ad7QIHp6L6m+R0j0cpQgP0vA+JFKaJ0t0IfB4SHzsbRIMgvM+LtinWJ0EuEHDL+/pc/x+fTI368+wRvL3vcn3Y4P+ygS0CYuXbrSOQ6XsiCWG8Fl88q6qBIx0B0uPA58w2w/nDmOfftiDBbUCuKsq+YP7VllwWSI2pSLM+knY1xBvavuy/DZMx1wkPUtFdEEM/A4WcRZQfMnxVoVIreFYG+XPHsxQnH4w7zShQ+LoI4R+y+o1BjHbquxfkTxpbZBMounwqWux3qBcCHcgsfvH7zINcRHUfEgOu/n9D91GuNAB4iucIVG5tYiiOF5uSotxAxxVNRpdO/yURrshYby9rETxrFLtBhYksVBrl12ycQsNpRboatbsTFAlQNDQSqK3CasEdcKsJcEU8LZC6oU4SM7nBa5tDouwCa+EHLQs+1UeEkV96XUbviqYuSXLUmCeD7tjGRjZn6+DlSliukGE3GM5+WpfMEu9ZupFINVV6fBLh2CHo2P+RqbZ9Ce64m4GTKpWUQlB3aYdPU4zzLVvvB6bUo6plREeYBYmz1LFcHpj+PH+DomxbrLWwjVhcZ0JbxC6tQAt6HbuBGGHKnMiNnfNAX1bO0GxSzobBXjr4Fkh6grb3PZ6v7SvEJ2inYCvhsRXe2AlTtvU+Vdm1MGm3ZM71bZOhXfK7pmFXWV3i9V/C2QdvMb1arm7X7gDaH0+tYPbBtKG10J8joiVaLKGu+Soi1fqlWT+t1qX7//DY+n8bQRFfavRVDGga3Ifv59v79uYxSx0ANTfjFWRMtG779ikZfJkvEhZ96wCmNcudOpSvcwhAi8Tl5gt70FjdmV+b8MmBGCz41Sis7KBMP6LCizYGzNuKq0IuwPZq3ObI+IGpJv4acfqSVEO2HY7dVxG1okgegT23YPytG33ebFPcq0YP7JhJXuMdv14xsxmkb7LpysydItuMYN+3EPCnkSE2uFN8BECyD7Xbhze09YJMNEk4xsaUH3v6o8ORBbfusVqVSqkhDcGXNVjefIYvtC8X61YrRdmdACsWadEpoCrsbWr6LErbaxubg2hCI2nyZo7kQXev0UbQgycdNADTl5Gh119vWUS74FMVoxAy48k5amU26eE2WXNnJ1cvaBrZEi9m51k579qRbHay/ptVl8r2892o1yNtWOeMDg1ARoAaXwA19v/sVrzgXhBmc2zBCNHYWjiWppFaoQ4+O8Io0X8FR21BAlpYCshC99++ugwfwfr7ZXul7jNjaTyBStynjaLol0gN9tVKHYFTneGHAlg+xD4pyTuICq9+zHxtC6XVxIrSfONcWcLrD6mKBPBdJPS5TaInDaBomZJCJlbjwdy2Qf/JS6awrfzVth0CxrrZm/byFBZ8rA5mQBQgKXaWfUSu6nkm2QPJckfcBZQhtbTQ9lo3Ap0Kv96UNK6MOgvXWgnc7Ez3IdX/GbV4dTffSiDGiTLGJPOkqxpTqc+FOvI95megf+UsKEU11xoOh2k8RRf9bhX5SCX2Ql9uIuPS6YF64M6tS1l7KI/zO6X0BLMgtIzBWdhFxe+Vc8s9wUsijjZczO8yOnPngbdYkO9jgY2ABk2nHsOQPGE7CxNws0My1vd7ynGv14y0vpi1Yo9K27e27Apwi0smuPQGwvq433xTkHYXUtu2o3G7Ioux+bU0UYo0XjnudKsIqSA+ho9UFqHsGt3VQlNuKWgT5nuuypgqJihqcrm7jIICMFXc3F8xjwpwG7PYLPp2O+GR8xLtpDwA4zSN0DUCrTfXSMgMlrJa+Tlav/niNotek2N0waXoZhtYejIvQUOYqkFlajW3x6lRRNCGsrFaeI+28kUr77xos3APS0RIiY4WMBRoitAqGKeMwLVhzxGU/Qhav/2aiajwq1j2TLgiWhLA9yxWd8x4oF/y1Xr95kPuUgikeUF4XBevNHmU/8PDI3ZEUbxvgwcXgIiur0e8CxINVVxe9OwBVUYfUAkJZC5HOl8/pKOYCOZ6h+wm62/GerDYt1opoQkl1tCJ+c66GB35v3Vk9qbhjx8baXRBhEyRF4bNNRCSJylbEi6kFWw2PB7uyVqQzx6fVJV4yA4BtK4XSjRDg51mPFhHte7fiGFTatcx84SEY0C/T1NqU1IiqIMtWqRI93nuv0s3BKIJQjWJqQYemgHI7QerYnZtoGVFBG7f5ORs/80J8jrLjIZAu0oUtHIk7bZR1Ac5LtLFzZ9WCctJ8AptGH5hZWu/EakqAfMuDezHqw/Ce9Ug8ZAJi6nVMYWHdnswFweq7kBIYHfsk98BEYiCaBI9nApMqrqzsaJetARGBunAaPdIe4CbaDFJk4FvqFQLW3uNr7anj9jRoDaEr25aC1nqlVAYB/p4xtSAjnbOhP6zPjWtg9y9PfJSe9EiPS1P73NKi2rou1U5wQzMraVbBx27eJA+8FtXGUl2519ZzvziTW/ADAgWhxmY3DYWIDJJCUVKCjA6vphTdlTy5DtKFqEO6lNZKpX1la5WDhkgx0IrAxL0j7yPKLmJ5xlrgMkire6m2s5ZJMByloSW6VMg6QDLri1tSal44HpMXxFuAMbLu3tU3a2LGNu+YQHIJ/+UZ7dwDG40R6z5gOFdMSbrYkdU+Y82sB80zdINwQdXUn7WLIVV0FMyZMfB4Wvr8WU0sTBPB1wr33hlytrncJjUMuW8shW0trn9X1c6ccLROBLob+z2XCg2eHFJs+0XzuxJCptLysEk6QMjQ8kTCttdlX6Ne196TSGpopKyl6TigUCFc7czQHVXUZd2IKW4Cdw9kRbXX5XsywYVl2rrmnhGWgjqGRq1mCY0HvmCgHdzxp4PJ1iigSn/u5QJ8pp480EE6xTI5BV+gVrdfJtYlrjeC+ZXvpUzCrK8jpveCYR+wC2jq0R7siK91C2DqaOr0MfDssO/jvk5E1euN+6JEmzNfX3GOCOvI51rrFVW/3u0h08B9eM39IARQY0C5SQimTeDnqIuLlX1iTbTRmYmwMilXDomBrglkteBXgPXZANHB2kSR5p4eFiZq9+wqEY+mnzEm1mlXMDAG2M4oWX39UhBM7AUA4tl6ngen5psojaO1FqQERxMN9Q6+J1RQ2MeSgV57rkLUyimyTuUeH2rfW+28HB9K/7cyiRWqNpEePy+gsJ7ndDKqCHSwektl71BnBHnSnUmAPkfp3INO75ebzkBdhMdeYOCRjh3BJerLVnSAP4v7UTaWtTMiAAtcgmB+Fpo6eR2AsgOW5xVQ7uFNkVeA9U4AsH7w9lwRijY0PS5kB9UkGM6KuqAFh2zdw9rfaAmi5UX3ixAAWYlktsB32GRIIGDOXtqzhWwJLu1//HX5JGAdTUjGt5LM74Yw0C53XMtejnf6nExAyYrRNAeOX4ZWagYQVRNLKMSZSPD8ytcket2t0XmHR47b/IIDsXsD7L8JnR6eKIjEyeZZHi9AfMN98fIpn9/9xvG7iF88fo54ERzeegDNRMNwL9A4QQrbHrHWlfZ5+K5i/+2Cx68mXF51ISXJDOpPn4cGYJVJLEgWjO/YBSIfItY7Bv+XrzJQgcNfJaSz638w2N79RYJUBp/rARjuA/S4B4ToK0ubLEC/T3j/+Jz04ag4LRH/17/4A8RYUUpAKYL1fkJ6k67o+OlIhHN6x2TDcFbsXlNt//IJ/QPu+ww4T98eeDaClGgIgCrAWDHdzaglYH03keI9AEWVLZXGinCKmN4KhiFivTUV/xHWJkhx//t9D+TaFYpQBSAcI2oWpOcLpt2K4/sdvvnjz6BBoaNC94p6oNEuLwIef5u9trmugehIce75yw9KLH/N6zcPch0p3b5Ueahss+w3e9RdZIB34e/YlD6Y81VbAEVHy67Z0AZhZjUEVGsF5Bt8V6SMqDc7Zo/ePkAfz5CRqC0z+USQYDQ37CcEnaCaSDMDkB4XyHlBeXnohf3m0U1vVoS14vz5dB3kBh583uYnXkzY47zSARonaLLAxtDCsPmsVGWAe56Ngm1OUxN7sToLR7+svk58vNxBTNYmpiiRm0LY1xUCe5CLhuRW2IJxkQXg2rkSC3JmbwNhWfs96V2Oenij56bQFxl0Li8qXBltG+TWN0ROAAa5YmiLH/aORG4boAvcYVKUKSHvuQGvN2Ky6VTdKztF3fMBZSws1sfQqE7Re3XlSGdkYY9IWQsRBwsIr2C8qu2ggkhX+zbb1N3I+Vozj6FSW+9cxNjpw34ty842Wq6pB2u2teDvA9DaebhdeBJJtaPGDQEM3W5qpWeTKZQlIZjN2KO57ZmgTph5/bzGq1pqtsgilTecKJYDEaKSxtLwxBLX/iYj70HG4sFGbfet/lzGqmg0Vr+Wj5nbeuUe0ASLTNE0WOsp2ZvSqtH1ajGKW2SQGRdtlMdoCpidpmx9iP2+XbHdgyx7FrXgs6aAso/I+4DllrZeB3T1x51l7c2OVUgpptDR0Oo0RaQFnIgRahRor98rQ0A+hCYcR+efB1jeK8pus1QLnaOwApqItpWjCStlRVxYBtGkCtZsjIUnfXK9J7GmHuD5vDjKByY2NMWmJB0AoIq1kwtWOxl4rfOFaO1hB6QRjULiNux6Ck9bZW3uSXOGYGQiNAbAheDmBa7iz+REP2x9LYVcW7svXCzINUTOgxEVBpdEHzYq8n6y2v7je67MK8dqSKgTE7iYWZbgfdclVQRPxPr3+2vzM18Drd48bboE1M3aEbnezzPg6rcabJsKzlbY2HmmQj/ZFnZeho64tT7j1ou30/KJRtYoLQDNe7H2Doo6+jMlQAJRj8wgbxCOe9gyUbxf7uAUYNvnBwswvNZ3YCBRdt2h8To/oDOC1iOwngNCFuglWBDP7Fy5GYHDiHDJCMdLV7sHna+yT3QEfY1XkBIuwHo3oE7s28gWfr3FHXap+R7bAJeoA1vOxJnObjpmhON8lbyIxwVyuqDe7IFdMn+HSWTdJ5RdoHbBpVKh2ejP8cx2T3WXUHdD3/O3ycbKxJ0LCKoIompTFiYtn4kPLzVRYa/Y9Ra9jGNRpCP9mHyTUEfS3NOpQCOp6ypkDIRiJVl0N4xBBGOR2XwHAAORTVEm1Fsgaqi+13Q2R9laEdWBAZCoUZKlB3LOWIgrnfywKT/hWDApUM3OuI6UiRVv17OaKOYNEytqHSjyQVFeZaJnmljSZfeWjeY8HAF8zf017xkop4tifKRjns61o+LOwhlhARtQi+J0ANbnBVIEqIJkJXEe5NJXEc6ruM9oPlFlmYBk6bW2G797fiHAM6J+w6NgekvkdjjRn5lfCNZnTISkC8e/B3+KdFHMz8WC+s0yngCMIOq5KPINcPkebXj3S2oPOMJI1V1FHQWXT7j2XvxJxe3XC9bbhMvLiDKA+7Yl1xGI+o7vBOWgbEMjCrwZEM9UWx7fo6GLQEcR04lJgDKyV3RYgemNYHxU7F6vSK/PCF9MWJ+TpTi+IwJ8/FSwvKwYHgTTG+596cz7n+4rpncrlruA+TGgvlTcfH7kcfiL5wgL9+A6KtJjwN1fch95+GFA2SumNxz75bng9D1bnxNrbId3EcMD2/mszzmJ65sb5CoMRpNieAgY34mxBDgHwwPX6vigGM4V6bFg99P30CHhm//8JU57o/HPBmK9psBU2VfoqOZXCzBUfP78EWsN+MV54NEceD6Efcbt3QXHhx3Wuz0APkMPoK2P7g8vmHYLag2oVTB/u4estheeBagBt19d8P3n7/HvvvkB7n4csDwDzj9cIVPBuF+RUsWYMlKseP3mFuHPiGJ72zNXsP7/NWr9zYNcryXbOIhXNMwQgMhetvG49kDPHEZEO9i90NsPg2kEBjrokgtrd6zdTzW1Sc5Gjz0A9Mx4CJDDns6W1wCKdLQNMPTMMrjnzHuKAj1MRgf2zWRDNw7CGtyTtMW1Ve31Nii8KB30sBToiuYsO1LgTCjAnBzZddRti9jVjips+0+qCGtiU0A8r4AyQNJsmb6BKR/22lXIADjFxylJXi87PKot1L6I4qWaHL7VlgWwTpZnGPMba+HvSoSL4qy3sVGdXHbcEVj2ybODa2/omwbERVvvvSY+AjRqrLRMd9rUN/F5tuIIgGV8zpEO2AggKIvuFSgnCj3I1pc2506HCqkJGqyX6VbxQhWtRdbGTlFYIy25kAZaN4FnM0pLBHmw5M8ncoUeNkpkS1qE9nN9ithur78NJjMRLwpI9fuVELBtzyJPkgmegddIqo7oRgEZaGjG1XdXDr48pY5+hI77VOimtfoIVp/nDltzRPq4tJ/52v3IewAiB6wNNBtKDMBrRFPNDasHPdhQlusHrYta25NaO2Ll6Kbdt9Oz6mg96QYGnlS5rYBYTXglBSjvhBtu1Q/uvc2LsVy8X2eYItflsBHDkL5uvcWAJjo8GYBYa5AExq9lDAjCRMXTefnoy2nysTNc2m168tLUwWUcoNPYKOkA+PPC/dnZJWK23lpBlcpkiypt09+bvCyjJxagCvFylNTrtZGfrEe3S6OabscV1o8bQEeMfAOu9hmInU3oCabt9betvJxS6cG5rSenm3tP1NbndnuP48BxDZuzyMZc3P4qINEC4NCTi7DEYrwoQlRUo4pms4noAjDbOTNq61X9dMuy2v0CDDSKQtqGbUksoxPmic7ueguU20IIXAEXQWloolO93dT8fjZjKCawWJWIbhAhdVqBMPo+BNTMe23t7iJvqw68eJmoRBsiJ1JytGSu9SJeC9hW69r207kg7GqjYNZIX6QLKXpySq/Kojz45/0RxWy0Y7sHD9SLqUSnB/pIdYzsc3s3QUb2vGWmmch2q7NUf0auhW1/bBVpmgdQ2H7kdo/NfdABhdGVtwJ2zR4AQ6TR2C9eXtF0GKKrjxe45so2Cb4V75KqRLatbaCG1NdDBVHti9mFwGpZ1ZS47TlVWm9PKUA0v02MVeMO75W4UdFOgQ1MyjSEG/bsSltviayVQQFp1lb/7Ef6qFQp31fEqTDnOYcmfsYAnsyw6AmzKK0WejgrhkcDDGy8vA9xmyegtXPk2AjtfKgoNWC943fVZPOgvE5YSB2mUORmrYvwzF4LS8k2r3ghsiYZRjPlOItyv8A9Gu1WAwAb//VgibQCTG/9e+wvQ+DTCRjOjErVBAzTyXwwb4Wp3APirNj/kj+LKyn2yy2TxAB/38eMn2MpgLANjfBZvP2VrxOnO7PMAagT2n7kbZIun4G9Y/cjpk8HnD9lRtAZXXFmEoC+HFF8B4WkAPPzgLybsB447/JGsPzRM0CAYWWCpA42V6Kt68HwiFaLPD3Q+V1vxIT7tAE/52cVYRYM7wPZG5Z3TgNF4xCo6BwWwe4172m9tR7DKtQNep6w3n3SmDyHX/a1r+Zzt3vczCUUWErEWoKxJQXhbsHNzQWXecDjuwPwmBpC7/PbNEAgWN+OOCWKgKEI0sn8GUXT3nn//oC1RKAC8wsqQMtUkMaCm/2M3ZBxmkccLyPqHLs/b2t8ec467vQouPm5olz+Gr4M/gaCXN1NwKxAXi3w3BzcW4QrF6TvHvgZc3BliDzYkqCKFWNb3azuoy1qtgjQMbW2Na1mdtMOponDzAudqXEADjtgzQj3px4obOoVSFdOCKvdmwjyJ7eou9jUUsPClj4AoCMpVfFSsZtrvxdVJBfUuVhbiN1oTeorwolIgw7m2MAcN6A5S+UwMst7yXy/O1GqRAxKgU4jW01Uc4YC2yvUMRB5OC+AVojmNr4A2ER8CZ2io+YEaN+Ew8rspyZBtjEa3y8Ij2xpQQpv7AFK5HOExwXh8QQdB8i6Q90NmF8mrDfctJt0eBVDDgQKIlDzSwpglYl1GLs3AizSah3DatS6zDZQAB0Fr0em8jUYSEejKCqMqirIN0C9BcJQUW8L6k4Qzwnp1FFk1g4HhKCAOVwedKlslkcurM/SSmQ2RvReuEwuSKSAUAsMngYIuVhdZ2jJIXUbsJ6v4sEfwOtsg1l/L8DkzZNAAACDh/nM/3enPMYm+NICxpmojg4RGFNr+dHaIAVpbZy2vVrbdS0QkTUTSXPnPW76v5ooHL2ETjf1e9Ih8TtPF1uPbLHUhHk8wPFrV6LU6syOp0HunBt6IGuFDgFh3bX+iwDrz9p6tkSZlwp8kJiI18kJFT5TNQTKawTXG2B9riiTQm8yvJcjAKxgmxENgnQJ0KDYldrQ81a76t+9rAwIJQNBkAw5LjWwfYVvse7wR5BStKPQUt0L0dT3juYT+Y0z2yEEr/fborJbuU2zRafPX9lw1da+R5cFepkh+x1kGntwCiZQxMSAvDWOZqKsjXmSwnXrGIAJuzH2kgVHOpUkRgkBuhtpi7kinC6mYpqu14oH4QBcrdnpnzQUG+8WpPFvqdVapnz42vYtbYkIZ2LkAlnnHsRaENds8rICMaDubQ06c8Hq09WpwtVYCa5BocpnGxPpw/sBmsRKYTjfTvUFEmokxTReSKtbnjlDwpkKm+C8MUJsDlKwQJeJTR9LXpulAcud4PwZsD6v2H3KPWY+DdAlsr7Oywes5AVe3+zPYqg/VBFOM7//MLG2uSpCCSglUmBN2LoMarT8RIe/mipr6/l4ECzPmNgqY2zq7xAgzbm1JZNSe+IDQHp9RHhBBpcOLgDkASzav6PweaBotuvnviwV8Zx7raJIo3ifPxswv2DSd7jnGsi3gzExKGZE1JGMozqkFqB6MJkPJmp25v03ASsPNNUyNCINzWXJBhfV7j0T6XnnfoptbZUlGiqCdYoUxZtd0IifDc5sCEIRtbWw3nOXeu5XtwkUNVS4K81TKI/U5PS49qSpWBJgHxEeM4MyEcQ50I7sfHfNkwUReS+GqLlOCANbNWGptk4jmQauxSGbxJbYHGqNCOeM6big3E44fTlttBQYJOUXGWGfcXd7RlXBMSjqGlDXAORgaCIDJP/eeGFyb7zPGF7T56xTgg4RZTeimE6D6DboEGPKBZSbAuwL6lgxG62b7xeUvWCdBeO9YHzwoPS63tr3m+oMMntN70jlXm8E8wuOTT7wGtM7xf5CUabGoLihDS0vGBTd/hS4+8vcEyhmH5Ktv/1asf8F8OI/0v7nl4nU5kR79JrjdFHc/vSCsBScvtrj/CpheUZ0N87Azde87vyc55hoT2qkexrdcM8g01W+azLqbKK4Uh0s8rU5jxdB2SmWPzhjt1/w9mEHPUWES2/dMz5WpJMlpR+4n8wvKKY33HOMj18J8i0R4d13ivFRcfNXZ2gM+OYf7HH5XE0AC4bcA3ER7L+rbLl0XzDcL2xFpKkh1jUBb/5Rwd/7T36Kf/vj7+PZn46kXRt9v9oZf/y+YP7dC+T1iM//B7Ya/cV/NuL8WysgA6Z7sggefpe1tZ/994rbP7ng8tmI0yeR7LJ9hVqrU55p3CdFBadlYFvPzED3q0/f4Z9+8R/xf/7Z38b7P71BOgrSUZFmbTZfXaD3BIQ1AsEoxquyDdKNJaqy+eR1wmWcILuKy28Rwd3fzpiGjB88e4/bYca//eZ7OL3dQ44ber0JmK3PFeX7F6R/v8en/+Ye9fSIv87rN0dy/dDc9vHc0DAbFe2pQMnTjLi/NiI17eebDOoVbAu0w8U/I5GUXUdpRSPUW004QrFFvopl+O1npLUFiCi/tgLeWqSJXjHnT4qb+iGo/dobZcmrZ66g5W76tfG+0TL/VxlnuycibaEHLR4ku6iVoyhBetYc4HOFzT3AMnCKpvYHBUT43GEtqBqMY2IfCOCqHYiKOarQ2q1s53PzPP63I04qLsjAe9Kkjcbpgi/evmErjtIpiDZf7jgFO8S8drSiZQ/R6lUEWuTqsOgNtO2ACYDUgIra6LdX87h9BQHbR/l4ByDUa9RnM69bhcn2fgBXvUKfvrao7cf6Q3tg5xSwrR37/8cA3SJNTxFiwOxMiKJt0EMEm1dDjD6GygLodN6nY/R0Pauhltsxcgd7e13/nl+BcH7wMvu/ourZeLT+n05XU0fB0J8J6A6Hj9MVWC5w4QxI/4w+3Z+ardrfUdm+i2+6+p2vB7U+h1fB5sfGQoXBnKnq9pZlaNQd9ipkMAs7tLxurAmxRUFwJMydZA+uP/Z6ai/N3tFtKliix9kBm/dvRbua0nTYjMfT635szaRgIhv2O9/Xty20RK4QzqtXK97RZqtS/NwBIAotto9X7ejH03kwFXCx7gAftLzzRIyxGlq9ca2s594+W/G6O/tZ4b0JAJSAj758HzKhPkf4JddWYy/SdRTEy2FyYN2lBazUNqitbIJ2/HTf/og9mGPrLSbUmAO1iiG+aGyCbneGFvm/xfaZ9jx93FAr6/ftHJdk4+l7+BatwuZs2Pxbo7Ra5CbQJMBVGdWTvUqHzgiCjQlg670IJAK+cNXPu6dT48Gl2J4e0AJgFzpq9+H7kgWw1cqXWj319sz0sVAQ1YwCSLi2c99TTOgMsHEy98CpyO06/m9FY5JJFKgk02HoiPHV9Z8m/vx5/Mfbv/3jqv0X/pei79nJxwzXc+Cf87/ddio1RLqmggcBNlcb22u3YkksD9rVfuF9nEVI395+f0seeguaACRjUyxDQRGF609ptJ667vbauDq7zwXwPGHvqCRkO+c2b5loec2CJnTme0Q1245EuGvc2HjgoLs44MfWbxkBvaAz9ywXOVzQJEca6mnDXieYwBPHoSbrYOE+hwBF6ZOy20JoSHwfQ5sLC+TqCEB7B468C2TyjdiwJPvnsDEhtx+yG2w7j4Iw+Pq3c25gb1hPgKCaKCME6/2A0xwJtBwKNFODxMWsrsTulOgrKgNov5cmpuXMn0rfQJx5U8w/rP2ZqjGw4iyIoyVvTPm7jJagEUWuPO+cZek0dWyXZKWtL3ehC/BZ66IysEa27uj3rIeA9W5AGT88VzTaRYcKGWjfx8cdxVgjxaxuxxnP0wlBuPaC1aO77s52H/bOHCqwM4f37SJ3bmfxQibCGgRlTz8pxgoRxbt5j4d1wuk0QebYWAUu0MYxqQjR689/hV/6kddvHOTKsgJhItLiNXpDpIBK2GzAUZrT3hTNVJuCpGf362S35JQ+C+Q09QNqS4f27Ks44vGMrXVaBnk/cNVis9FeMhGktSBus/IAwvsTwr1A9yPKfmj3AoD3gn5IpUtBfLN0mnMKHZWxLDkV70jbkSUDSzGHqzbnQwDE5UldHNCduMOE1t7BeyyaMm16Jz0x4Gibx0GFCGPdJ+S9CfLM/svNBq9AOGfEdyeEHVtH1CGg7FNrPL5tgYBq9UG5AimgvLjl3xOFvJzGwAbUVre1L5CoSAPRlFz2pGeswO5NRVxsQ51SG7uwWhuHjTGHOYOqzFTXDZnU6FooIV9m6xU22aZ0ttqhC5XwNCrWZ67oHJowS8imfriQ7iOnC2Q997kYEkQGYNgIxKiyNhfoTtQ26FyoqiyDrQWnYz6dY/9fNQr/gW1U2qHlwjZOfQw8ZH1eNAaEJfexGoce9G6Rm7Z2NoFVLsDs648naFPzjdKTVJt7RKmQ8wy9zPyMtUpiQgJ09GMignKer5/ThZaw8YkMlW5UWJGrAL85d+0ZLHCt9SrnxdjF6GG2duMlI848XJ3iRxulHSsU9WCd0NFvyoNkHwv+Tq/Gom5qjuJFmLhJzAhrDtAiSOeA4YFIqjsM6x0R7/T+DJyWrhUQAyAsR/CxCMcL5/ZmJO24CMoDaxDLKsgLaVK5RKO7GeIMOyQSqVcaBOnWE3/GgkiRAmt5Y5OlMqH1hEXgddcsI0nAfoLUGwZPQ+qU/w21llTdTQLlyvmVrr9gwaDMK+Ss0P2IfDdtkhUVakwXyb020lsJ9SDc/+7MAznNpmNQLChnDbjTpyHSEdUhQicTlFsoVBSOZ+Ayc5ymwa49kDm0kpkhXsMsAsDR09LVkQfb/08zvN3WBwnQXLrde52+sAZdzgvr6U2TIiwUDmvjVBSDte8KKxNK6XFle5lk7J0pIAkQZqCOCTqGjkACTd0fWwdcGETlQ8C6D+zJrHTYlrc7BhFjgaS6cTSBfBPo1BmarVPsSZ21XCWA5bKSteClQzpCKkVbwkK7qKMHoEZfhHTTNMcXEIqrad83NQbojmwRzAt0nduQz18cMMrArdCeORRFOPOey0S2BhTIN4m1+/PmLBKYIBDbHdUxwHurui6FU8fryFr49Mgzfnk+Qkeh5oclgXjvaP2Hxd0SBfSWdp4uVgqVwdY1U8Tl5Ui68eqJDg82SIlEVCoSqzZqcToVDG/PqGNC+ZIUzPiONbgtaQQQ9VSFmMifeneMIE0QrC7S+uz6Ph0s+Q+pjSXGjgR+DUfKYWJjkfcKXDn1LkAmRXH4prQxr1EsoSlN+VkjsB4CvPTGl9X1ASEsqyqh1Zk7ch5Mv6HsTQzIAInbaUYKFfthRVHBu+Me8zwgP4s4fxYxPAr2r0sXY0yCMkWs37vpzylEMYdHtjCLAyn2LrQ0PgB6FMwasDidNFkS2gInDYoyAWFnZV6J2iLeqzZkUll1iNCNhPX81YpRdhRG2guWZ6Tl3n5dEC+K02cRl1eBtc0LKcrH71cgKdJ7ruPlOfDmtocKatTZOirG+4Ho3UJdF0cfAdaBpkvF+ZOA4/eBUATr3Q6SldThg9VTn/kc651YspZgRR0NjPDgPikun+vVnIaLYLJa1fVOSTF/JNIeV2C8B+JZ8cX/g5ocP/unE+TvPmB5N2D/S97v+dPQAvGaiEze/JzI9+OPKjQpbn4ScfiaBlojsN4EPP7wAFe7Hu/pd4aVCLHb5P2PAtZbxe51wvQmsl77oSLvAh5+ELDeKZAD/uTrL5DeDJDC+b3/PUXdK9I9n6UmRfrlCE2KX/6TCigwfau4/YsEyRy7vLf5GRVv/y5w//sJ4zu25HE7qQHAbUYYC758dY/fff4d/vCvfhvpD+9QBqD+/Qd87+U9fvf2NXbiZwqfMe8FsiNNuoysVx4eOIbpvInJEv3vctAW5IYs2H3LWvDjVwHnMaJGxWFcsZaAv/yjLzA8BMQsSIUJi3xgwH35Hv8ONytiKih7xeWLA/QI4I/xP/r6G0FyP8ikB+nU3IZKhC7wtm2Non1HYr2EHWiLfgT9RUcGFPB6lpZRjdZqJlqLm+wZZt/k7U+0xVQqtr3zAHRHO0UEFwNxv0wBLYqm3OL0MlXofoDX6m0RCg+KHf1tAa6hy23UfJxckAf9OzRG0vtWNGXaFqwspMJpJBWsoyZ6jeQGMMvkiNSTrB9bARQ6vJ6FigIJpDO1w2CplsHnmOoQmxKoC4nw/sD5isoNcyoIsSIlC3K9jYei9ePlHALeY7gFjq5q6ugiSm9/FEzu3TZGwDKeNjze+FoyM8GkkigkM5OmAkS7Z3fQoQrNmcq3G5u+PjHxxOZDRwoagvRERMfGCEBH8T5AoNDf486a1WIFoNmNDqY87f1UBXAauwDQUOnYN+GPbZB7fY8UBdvUX26DkW0icIs61gqsCzRMHRH0uRpSDzh8DNJmq2n1+0+yjI66ed3rRwJcb8EEdFtuY6VkWfDf2Dwv55u1RtKCXbEUbd2iOOA4Ul0YUA+02nfLtRmIORoZ3FM2j9Kz+7iqAfc6MHig1cZ0m7blGMuaoaoIgymuGluBGU2qjIpamwpD2tzpdGpzjaTz1yiQ5HaOlkR7iry38QzXtkmmTJ8zHeyzloRp+8Dmmk2fwK/p19nYftMmsHZCAM8BVaFoUxFzhNkCiKKEiqYs/iSjyzl2BWJLykjppQGuwMxdBN63eNvihucF9x/NhYhvDF20bYtCb+3WX753REftbX+ttdcSm14FwN9RadiCT/8OQ25VFZIjKdYrKbgYUqsvDovvPZ6I4rNXjRQJDIDOtmcYxdnrE2FB1jbAaKjXpp6QtY0mVrcKkbDUkTRgY2+21gTg3hJgtbF6PV8t2YaGqsvTtVP937b/C672pQ8QXAFcFKoFbE/O+jpSIKW1CQSY1Mq9jKe6T9Kub3uM+SEIhngltvTSIA1poygjzOkXBHXaXa9J9SSUqiDYM/pZCzE6rqFnjmbzXNSOFBnSuw1w2dMWfS9UUhQdSWbP72w96NGprqbS615hAy0iB/ypICU/ZLZqzBdbUnBxJ0Fn1ijN54qx1ZD4q2RvP4LUzvV48frZ2NA2ALSbuvFB3QZsLegWclIG1Qhqbd9s7am2Tagjif1CAYopZVQVIk8A1Kjzddn6h4YOD2YPcVOHe7G5MZts5VKKhnyFxQSkku/BtibVHSWeP85cqAqWajUE1ffjzTTtSkvGtrp57VRwSGxtjFw8TafK70KwOl6g7q+DmPwqQ6aCJbDDRljExFWB1gXDgl6NgnKorNRaBFIF6x0FQhkgSaMeA2jrRsUC5q07PDEA52bBkjJ9b3OXFEhMBPaxZY304S/vIacL0j/8PqooUNG6bZQXhngPQI1KZeAz1ZXrTYEMFVIjxqOys8rEo37dd18grHb+epvKQnJOPijys4L1kqyMDq2kok6Ksuccl2PCaHq4GgXleUa6WZGtwJidEwQ5AtOrM0JQ1G/vqGBsCcYtclDuCgqAMCdM9nP3gbhsidZ+b3ePECrG9xROw5jxvcM99nHBRRNKJQuh7YPCsSp77imtNZQn6RpjDI094R0K46wUAJ1pL6UIYqhYS0A8sd817DMIgpxIr8btijhUhFC7/R2ukzm/7vWb1+QOgzkSudXZAWAtnztAgNX1DWiiO0CjMbogA1sXCFAVQYyiOwEFY6O+QYA8bei0YOAV42aAAKyHBO8v6PWnrT/aWnqQ4T6Yo0YOzO1M3r9oawUki4uLAFLZfsVpX1IUWit0GogiFGUtVrC65NC/p7X68UBOFQjx2ul0lM3RbnMGKJqwCaCeCBLpxumsyYLuohjer8zK74lwxJmKm3Wk6MLycgKeEy3JhwBvtcNr2jhnYMiMXpeXEzTsiLgabZRomTknK405ngLqKsiZc2c16EhnBqY1GiVkpogDa4NLr4uN8XrTXjJcWIxjkTCMAXWi0IcGbU2wJUs71HzjbGIo4o602uZKxCPkiDAmhKfBZ3GeCuj41koK3jTiConZoAiy3/HgmcZez+XXbQHXCK/7bPfWHGdLSIxCdF0j5GAiJhsnVQMgO/4uFKXAW6kIjzNrdLd1vuZBXInTbAJHPqtCtHTV8mqq16q9VnZIkLu7Nh6sBbaacICImCqD2y21ZBP4iz+rBwQpdiE7t/+FOz9bNFnSKUivR94GwpGOibjapye9miNmDqmhLtseeS04cP/CUY9jsVYX3EOq9ERashq2vJfmjOV3XOutts3QnLAA46Opf15o4xoC1HQDBPacs510bktuL5ltx2oJGBObp68rs7Nl5wgSFZTdJ6oDg/uGsiWyFeoYICWxZZYLkvkwLBmY6pX9QTbUZkcbfY62r00yig5Pp3nqLqE2pJVOWnv5z5u4XiQtKgiWVzs+jwUHdQiQfYL3CIXV+jKoox2yF6YFy17n7YFhtDpjFa4FD4jN7mRe+xoOAdhNrIt1pgPQdSDsZwxApY9NCJzTXEiJXjd2FgIw9LFspQsbhgeDQXuPK4lXZbBtXrjXusfj0hgXTo1VEegUUceAMgast8FqPB0pxVXAI9VrNu0ZfHptbUUTJMwHaQqzMtEhl3MAqiAdOyIWV+sfvxDhCufrGnt/njY/mzNMckU8V0OnzKEXMJkduX5r3CBuHp9UtF6p1WwvDAFaeIZQ66CPcToVDMtiLZki2/uIoOzihnLcA0OADBAIa0nzjortYVaUJIYiogncVWHCrSZgvWMronDD719vqDJMTQkGsflFD2ZF+Rxx0RYEsg0K2TplPyCbfzMceXNep+oq1WUMDSkczmRFOQpadhHLV895XYWpKdeWQPCknydOyo6t+tKpYrhfoEKGip/5eZ/Yd3il3QaQwRaKQg1Zr5a4TZfSEtPe9mbbygcVTVQtztqEAhmgCtb9th8vUAZFnPzf3L/zLqAORI+8btWp2OU5mV1x5fU9IE9aMb6nTZcd/+RzwE/KJ9ZXm4ZWHgbEY8B4EqRH7uvzi4iyD02MSaq2eenJF09sotGt46qotmYAIoAa2Z6m3HF/EqNpu2Mrhjgz+YSeLDR/pqYA3SSPh7+aEGd+Zv+t4sWPK9a94M3fYQ3/9E4xvdHmNw+Pimd/TPVwtqNTU51m8O002vg+QTRhfEuV4zpSBGlLOXYNmPXWfhYU6zPO5fqyQA4Z803EehcRZ8H0ms86v6QYU8ge+AP7b7keL58xYHZqr4saQUFfM1P0KJ3F0HnB/Ax4/Q9eWVkKsP7RHfYPPC+9VWIogFa0BHG2VlIyk5GlgUFtvqHwXjwDh29qoxY7LTkfKOCWThVJgN13CWFJ2H/DFqQAMD8j+zCeBSOA9TagHoyNcCtY74CbT054cTjjZ+8+RZzFatV5Bs5vCNnuF97X8Eh0eLkl2FUmJhA88M0HjtHutVGyv5ugccKffLvDnzz/AnqJmH8fqPuCHx7OqBD81z/9W7i/36OeEuInFekkuPtzMhLSiXXv8yeK938vIxwj7n4cEC/WsjECwz3FysjW6LHZehAqq58Dzl8OOH8+4Nluxhf/2U8QRPHvfvx97H4yUt/Ekhl6SigClFQhSSE7xZu/HVEvA/B/wv/o628gyE3AxaiZu56ZpuOG7iCMgYdEFCoZgvQFFEXZsd9kQ0xU4O0NnP7T+oFFQR2NEmQbSLTN+orqsgutZ1lDW1AtSxCAWK+QlxZg2kGoA/vkxqUCZ7XsVO1vhW2qm1ojUaV4yhAQTyvkuDLYmQZmVd1pTZGBcK0MhIHW/qehVEUBteC6lBbgaggQlA9rF/1lGT2NpBtTUj0jnDPK7YjynBt5OhHlUzEHaBd6ZsqnwRwMH9s0WyYRSgXlQZBmQTzXRhtnQb2atDxMkU1QV0cJLQmXe+awDBaUutLtRpClKQzbGGNhGyWqZvMgHfYJuUaEm4AwGP2rWOCR0ShMTYHZslI1AqjewFxb7924/c5mUBXwTFIuQM7QlIAbMhZkG6yZkeiOQjN1lxolF5bh9jmqu9jp9dnbHjha7welNMXIXt9rTmja/Aysw2NwZc6lG6yvy01Nb0MPt+idf69Ks2mnx28VkjVF0qJz4dovBZhnOvwpdcRv2zvYEzVehyhiSFlmEJUirgS1coY+HnlPIVApG4BUuQqOt320dUBLZGkiXVE380knz5y9aeNYVjox2+DfkzWSnXVhTqChLXFmnWewACdk9q5ToGXjJQsZH1mRLpUtN4wSjxRQQ+KSd5RvNtG5acRTmniYKR6Ukn1no5YL4mRBe3XHEezH5wFu5KHuyFyItrZC6PWSAJOVT+m0QEso0B5D36vdjq5YDWhojV/HE5lNyXhzeXf+WgLIHHsN0hJubCdiiEWUpoMgifRdEQXWnjSUxRgMe7byQa2Q84U29BR1jQx0UdEpxq1MI+HqmKzora6MQSPbNeU9dB2Jr5uxa23AwnUCwyjULaHpNBQf9+0cbJNppZLiHQJLYgKg4H3XIWC9JQsn74MhOdzf48LxlEK6IKANrfvYPISV98C+u9KSx1LpUIq1nSHqbOvPBGlaWzZrO3aFgNuZ68iL11nFuTI5UPycD33Ptr7XmgRla0QK0o1Ld6xqFARLcD2tP4+XjHCpkHlByEw01hRQD0OrqeU99TlQE5UqE1vBpAvbT2WJKBO3zLigaUbAUI0yCYB+TbYCAwNcoY8zv+BzxdnGeZF2VpVxg5AtGbgZkfcU60pn74Xe11KZAls97fi56Z6JNcBaQY2C+eXQzvq49pIB3qf5W4VJzvVZxHqgExseFxsL+nLLqx2KJTxiZVAupogtWTsqbK25ZOXe75TqOjiw4QkXBiLIwPCwIpxW6BRR9hTmKoakNZQ8S0vepQuxa9ZYoiHqoSiCZerXA8d+fGB7H/YorhANGI68h7IIiqFNi46GJtIGxvuAZG3a0pnnxnow5fwLExPprEjn3AGUAKw3CWUKLcD1evOg/VnSGUAgJbROTCw6A82WI6RacBsASYBTtvlz88FKt/XpW0EcuF527zLu/t+/xPyjT/DNPx6htxnD/2vE9FAMoWRv2t3bYuVm0vaNMgIlCqrVcI73AWEGpreK3Tu2GVpesHTG+zOL2jm792BfSakNini34nBzwbJLWG8S1scBw/uEoBS2q88y5DFiuA9IC9vvAAwC6ygIM/3LkKWxBhmUC2s/jWJbE6Cj4PIZn2O8B27/kvPm/merUweM7WhrNIIJymp7igXy6x3XSbT2WYvxs1meV6EhtqTR+D5CimB6VzG9K8iHgPNLMoLShTFQGYG6s71iT9Xhr+4e8cXhAT8LnyIstAeqYgPpPra91s/GwzcL0nnAepdQdoJF0boxOI16fK/N7gBgfBex3kSszxX6W2ccdiueTRdUFbz7xR0OfzFgvVOsn2YAEcMJmN5lhByRzwHnL4Ef/egb/PL9HcrXz6x1If2N8UGx/660Fp8ualYmBuWHx4I6JCw54TA84H/9g/8L/u7wHf5Xy/8SX//ie60mXFQQzkSy6yQsx5oqTj+oqOdrgbVf9frN6cqBDq9MI9T7tPoBZoeWAMC8sv41BejN0A/TRs/xzPHm2v5zD6CSdrqhbf7VJLY9U0eBDMF8x8L2sPphZA22jSogQzDE0JwLF6Rxx9n67YUN3Y79INGcZpfzJ92rO/E9SAxXzh/RvKELvwDw9kCNomK1xUChEipgjBU68U3p2MfYFSvNsdJq9Sqltub1ULAuKgBh1p5FD4J8wwOsDtIOalej3b5PI7AugArRwmI1NbpsEgyqJv5kmf9dD3y9h1md1AJvC4LPTF6ErFTztbqnRjl52ltSpKm+sh9ntB6g9cpxFmXBfHqk81AmbdQXjWrBCXqm1xPGVnuE3dRaeNAWibxrqYBWS4gIrkSVNpRgUrcN1fHgIJmKamDdzpZaJYJmF9X66HlQV0dHttCSPl7T5H/8GVSAOBpKfhhZy7dFUjf1fo06v12vQG950m7sV7zURNE8yNzvaJ8xfhgkbRxccbGiwFNGxrG/ze/H1+FusvGPV3vK9lla8AC0ddyFoWjLeRcbrTBPYs4/0EVlutDNlipZxgApkX2ibVhCNlpaIYI3HCPKPayXqA2NUeDTCWx7MKOpfQarrWbrrdIDXKewAmZT9TqJVngSO8UyGuVfBUYX6/ZAmmc/7Fnvjea0uCq8Lis0L9fzZDTpVkdu3w+gJ+Ky9jpiR4IdxTUkVzWwVylg9f0eHHlAs7UlXNk3LFBxQZAybmis6kyRyP05B6BQLVZS5DrdBFMNeR0HuNoyRPrP3aa2taLbZ93uvcA18qjKRM/KhNIV1djZQU9o3z6XOg1t727vHaUHu9aaqzMVenD8tF7fyxfqLqKMAWUXGqLlrdrcPsoK5B0dxHT2wNAU9vNGhAswFINnSDrTcWJrEEtUW4uNdCYdLZ21lZ/UISAgUZvC7TcX2zv7vui9Wj1JE+fCtiHWp14vAFV7BeuNlSQojCkAC8bRxFi2FGSiwIDmjC1dWZy9YolUNVq5mCCjU+x4xguCKORMDzisimBiXMuzAWXsCLeL1/jfaoyB3m4DLdnaRLosEeXtkVRYR58PRAfTxYKpZwl1uEOZOBaewHWDdXp+WLQFyNDNnmaJtm1NbbpUeMulrf1qEKxWhynFdCuW2pPOZuNxZlImFG36HWUITBqYQnUqBWEuzZeDEOFr7YjM1/B7KKafUKzLxTbx4q1uqo/VYOvN6dJiAW4yZH/ue7nv63H2QIbX7sw1u7bNU1yA6U2wpAn32nQUQ769zGqTMFq0JZnzPvVnUrasSudC/7NU7ofD0Ci6LrCFapTWlUGN2/c2OKmD74F25tueT6XhiBK6W7/ewqjywPGLiOW/+B7m5wGIBVjDFQNgfs4zcL0NoHaFtDp7zh17u6JwXIcjrF2fn33a+rAiAFKZ8Ms7BiatdE6AECpUBeucoG9HDKfA1jR1E1gOan1u2eNWquJ8jmQVHAXpBNMAUHhPXgisR70jvWj7FMBAb/eusiuCMbBc0Csu/XnKzhLFRt1en5lN7pUti24VDz+IrKE9oM1jemBAdv4ktSBbKtHUU0woIwN1jXb9hI5Yhn6d7x5vsJYIOWScv5Lut84B02sKZkGoKD0vgriMWG4D5heW3Ha7irrZF43Z6r5iZOAuFSjfTTjuBnyzm3EzLogPEdNbq+cPCWFmPXcZB6w3tI14Bn7yR18iLIJxAHAn5u9wDaw3AXkvOH/OcT78QjEeKy7PA86fJyzPgcv7HX6cP8F/ufvH+OH+LU7rgPUTq12JrO1XY24wOAHCEhAvgnr5/xNdGSKt75/XjlKsoMLVIwGQGrdm6G6C7BK8CXwPYmG0Fp8cUx9s6AE2NGcaxXogfSCdgFBohMsND/P5BWXSg1H64gXYBzpHGocmfe5tiOJpMUem0slbMtLRnGomQSmfn7rKJQSogQ59UO0Zt1aPFdH6+VZhKwg/SM2RaPW51ihYI2XnA9CdLzt4ZC2NBgcLJppYSiZFT0JogjzBUOJ6GFF2HNh0Lj3oiYL5WcTllTRHQSPM+WcNgBRb8HtFmOl0hhVN5jxd6BwK+kY93K/sT1j3SOfYWq3UAbh8wvkZHqwh/Op1hqTeyXlGPeygU2QgcNmgkV4zG/jM5UCqfJj91EPPwFejjr2z7/2MB1XdKXQkHS4u3ASjKZM6clGHaAjQxgsfEvRSGenHCASK1zSnze/R501svh1FVqDG0CiE2ahr8Wx0b7WDPAKSLNi1mse2NprTz01zi86ETFQmJK6FsAqAEbJLRC3Oa0/KAJBEB0q3ojlVAa2tdtCpntgkO64UOO2ZXQBIvI2MBwz+CtIDg6f9flOvBZY1d1ojQJRxv8cVndOv7YJHHiD4HGQesDDKIewAXm8DEa0EE7OwFlOxz1tT6C6wLLEiX6xsQtEc4NaKxhyQfRKEHDvS5IeV2P5jjlCwZEw4W7ux80zk1gPZ7XPmwmcZBxASMhSkkuojg9XpLBRQK5PTpSzIXYG48lm2zAzW7nrgotDLBbqcrudzWYGcmWDYjX3cn6C3rBeOQNMukEavrFFQYwR2TK6VsdM5WyChdG7jzPKRMqUu4GNBxHqwDPAYuuO6WCnEHK1nolDDIQCKaOrWsSdLfD1OI+0mGWpr7eba823HAIBIhU5kAoScIfPKs8qE4ZoIYCnQeekVNBtF89aGaXMvXWBtRN0N12ih2XEsCsmLBV88RzRGNNE5C9C8ntFr8+cXg6FV0kRb8s21U+XK82EFhgcitWMMiItgfCiQUzU2jBqllQHMFIG4Gkr46Gcy73e8VwyninTpLbrqSCHCpMrz7DxDF4poYUeBSFQ3BAa+oor4yHZMzoAJa0A8c8/Me1+LFojaGqzJ6NSrEmErfS65njI0b8Qd63WSuJoIVFxqS7ZrFNQdA7J0th6kVREvRBXzLuDyPDCBfiYytNzKByJKrebSKbMb+p73SvWa+hCZWMi3FPeJZ8HtX/F8On3K1iN+/mpgcqspUHsgWwp0Yb0c6xI5n3FWyElR9hFlZD/h8T4/qZvvTJX1wH1i/zrzfVnb+eGveMqIqqhTYlCaBGVviLEly+O5IB5nttKxNlhlTzvy5GzMva7cWUvrHZO7cVHEc4GjzoCgHgzV3ZEiSuEg+oVSLFmyAGH2sgkY7ZV2ykBbUAa2OgEsUbMYJVcFwyOFdSBsq+MCX1I6GyJkxfgu97ZGVbHeJqx3DIDYXkUxvL0gXBbIZQEuM9KLO9ThBanRplxecqf8hwVXbEWCBzzP8sFYFOoBPzUXyiTItxF56XO0vKqIJ2CowP3vAvjhBbUK9HFAuASec4si74DLZ9q+T4UBnkZFOlI8USOgOwbH6UTBUO5Z6EDCToHbDEkVaxhMwLQi3K6QoAihMl8XGeTWhwE3X3Mfn95rY0OUHIChQg8Z5TJherMiXgrOn+yhQmR3/0Zx+izg9FvWGmcl+6MOgOzIhhgeOKbxzHVz84uM/ddHzJ/ukX9rtOQY7384EmVcvBf4QSE3GSEpFgHW555wUZRbYPnU1vXM2uXhIWD3mmv78fsm8LhwL5pfiAlAovXH9fZAdbS93+ZQA/D43Q1Ouwl3z864+/wd5pxwXgYc3+yx++MR6aw4/pZgeV6NvRGx3gCXLzMQFeEYKTQ18Lq69OSJg1B1YEIgzsDNa7Jpv7u5w/EwY3odcPuLjOUhIJ3oN50/7YCRJsX+l4JP/z/c8979LcWagLt7YPeWwlrzc8H8UnD8vRUogud/HnD75494+CfP8fgPzqjnhOGXIypG/N/e/i3IruBwN+Or336N8zLg8USAI5no8Pl+BzlFxLNg952gnp8kj3/F6zcOcknlq6ROhYDqVK0tRdLQge3LnfaGKgDNSfTNX7QfFv47btbY1C/yd9mFH0Y0fjwbxlvWd+iHSzWUm71bARcEEq+crpYVfIIi0iEKuKLb6QYZ3TjcGk2kZZut9oDZ2uJctTOpCglEiHoQvQma/FbMGaDjE/r1/DoWULf3wjfLLtilIoDRuaoJqfhh61LsEKCqWA2I0QSTKV0KWiNy0sfN8agdUd8igKEAclHUIg0N8Gx/U4V0JNzGCmXzzP7aBk6mNC0KJidCZcBsiFa1eq2QaYsuKc/EC22iRgAJyDBKk6lQYjuWzWD9ucJ1UNUeMlyNd6utDtIAK01iapKUgLc3Q9fr+vBmT7Yutuit02j8YGxosIq137BDU7iZxeqtmixRUj25og09pHAHPgxkgA+pqx7gGKXyA9E5//8nsewHyK7PZ5Cemdhcn8VK4frzDQ3e/L9/39ZZFlIcNQZUC2pqcsl+OkfqlDaPnT0gBc1ECu3f26fQwZDr+wFvhZQ3bYEjM++dLh+K23klhc+Tf23t28R/0B4nbMbDxVu8TtCDItqAKKk9rH3qjkcVIFTbAzZUh4+1RAEAGQaI1y4++X4mxmK7P/V+utbHVUcb79htwPf4MnDfAOjEOPNDxSilhuR5TU+nylnw7IiCTRZriwVS2bdYhmj7ALURtvtJG8/t3z6HZmctgeoiNk9ejXkDWPC3ua7vBx9jPTxFid2O/eP+c1/7lii4ulf//fjhdzRxqCE0pkKZxPZzs/MR5swxw+9ql02kSXDl3F69rMQigK1CQvIaVekOm8CSldqQKp8n35/b3r5Ra+dYcy2ICM9HD67FBXW0BYu8Jhq61excN/+/3Xc2vkXTv9heKnXhPqkK36kFimK23+o5FUwoAy1JRMVXO4LdVhNtHnaON4Q29ARGq1m0Me82D6uv55zVuNkStmOwna8gLUnCkqgPx6q3MepzHLzNSrsmzwevb2ZCyi5i+weFfvDhS7of10T9qp+9FoBfrTs0R/vpa6P3xODdp2+wfcWuTUVrS1iO5h+2INfGSwwNrQx8xZCr6jXyNh5NPyF3Yb+4oCtew9apdHSwB7V9Tsw1hIt/OQ25vapa+doIjdHObbRa5JaMlH49nxONYDtzcR8JjR3Q6+v7H3/FWRrDSxQoRaDFSr0W87VHUoDLpEBwjRL/Ehi7z+7Jym/KDljuzK8Q/tuVoONYMIwZ5yWiZtpVXSIkVcSpIgSFiLZ1WxP9c1dlliyQRYASoVb2pimY+rGfBYJsSTton0uNTADwT7cj1nfzWdcXO5ZHbhHNgYhnMBaAsyD0nFCiQtZAvzEqNWIUvRTJE00mklc3Z5VUwPtOSQYjLmcNrABWAAioUhv12ksT9P/L2580TbIcW4LYUTNz94j4psy8A+4DHvCmmkg2u2rRwgX5s7nmghuuSCG7q1qqX1e9V28AcHGnzPyGGNzdzJSLo2rm8WUCBRGUVIhcJDK/+CLczW1Q1XP0nBIwLwkKIOeIvJK+ML8F8i3VqdWKO2UntrfzgWlS1GDXlMnu9H3Te3Sd8YWNcGV5SXhZAm4LY8zG8NwU4uhNbWe3sRd8fYXMs6CM2os0Zlm07gX5biJTUfjvxRJ8GCsthorDsKKq4JIGXAnHLQHhHBrafrXX/4HXn57kns4QRoRcoyPRFa+Ww5Vh7RDTIVmwL1isAdsHpg40nN9KzHuV0lUAQxZMHypRCkNIagQu74gAlB0nWb6lOXNYgGiDvd5KU8OLC8j3XgRIQNmzoi4re1xkyQjHSw/iqiAerR/FaagbKpxTUdXk8KWJqaAjpyZ2JXOBXGa48icAuCAPcw0eyDoNFmQYumZ9kFprKyA0QZUUDfU2Wp0hwpoCyo4IiRu3a6AYRh2kj9ceWO8tAbIkuUwVLg4BhdmfkKIZMqnf656CT+mimN6zb1MdrdyH1quy+8j7G45MOJwmHOeK4Zib1YjG0NHqz7026tTxwj4vt+gYnwrNxO8jyj2vz8UT4pljowv708LCap0HAaKCm99WDC9GJ51XSNlw/lf2JTg9U14Ft80eyKmEKTThL2ct5H0kjXCyeW4UElb50QIqWgN078u8Y1JcJhM5soDID0CIb8yUmq8pdCp2UWCM9ux5XyhGR3X/aHggUvu9xEDFWes/7AEav1DWzJ+nLjbHNyicPsz5bT2GrwzqoUb9DmI2ZIGocYrAykQFLu7lkZ4nEkOCK9HCvoMB89DWYtkPZn8SiQje8r+8M3pTAvKehzqs0h8v0kTLHIWleEuw4MHGceU4eQAT1orhhCtGigeEHkzGc0E6rlz789Lnt1O7i1GWzULois7pyYDvIYYo5X3k3Bj6QeCVVhjLOyxkuuhKVME/T3xusKzef//2AE27Pq+t/7X1oRpjh0XBEXU/YP5y33slgzQV2TIGLHehHfoaqKSZLk7f7AwKKGmD2fqlO0XOlv1oSGS0IYtC2pKJzmhyr0YTrjsdSQneChvJZk+utVk36WGA7kcrPpRefNm8n6qjth8vK3OJ0UUGR0jeA4m6ErppXaENXm17FwBek50f4WR8OlsLOvV2FrIoTGHbLHZ0MIZLriwqjNZ3axoJ53cB+bbvCzUC+Y5nZJ1ohxGPEeHoDxw9QGy6ChYoiVpReUPzLZwrU+EYkXZKNIjU2kKbNxd4VOV+bmOgN3s05XxViiiKQEthIGl7gxjrRFy/IEkLyjQSYS4jBSphXTmcUz2BqVGAMXSK7avCTr6bUHYR8cK12dZAFOQd9w3JiulU2Df7brRimSPjLN6IFX81GOKXLBFa5SoQK14gNvZSGYCy74I1NQHLG6IkVM21hLoVh3phqxpaHJOwKGcFNiZM2s8FAXQgquS+tFIU6YXPtEbpYn9A27fTWTF8t0ByRb5jD3DcMnl8mM0fuEyRAlIKE3RiEZ/CVqW5MDglfPpphhRFvh1af3GjJnvv+FwxvFTkXSSFVlyVWFH2gvkdxXjYAqUtUOa9K6paYl+ZNIWVRbH1INY3y3kyHLkPDafKvUsjfT8tAdsWKIajYnyqcOYbab2BW4YJm4aimH5aDa2zdqHIc1XvdqjOWGl6MzY3NwrPLEzxfiBAScamW9hzKp5sWz98uqiJAhVg0250+FYgB17r8CSQf9gZ1bkDGJe3kWJPX6yQVJGGgqqC+uOEeOQzyTe8lvSYoEFx+kXB6VeAewqHU8D0geyih/sTfnH3iL9P7/AS98A5If0w8Dl9k5FSIZqsAjlkXL4RxGMwlNHQ7xxtn45IZ+DyLkIlYrlnbO9neh2AeA7QhZY7mhThEsjwmYV9rzOwf08W1fHriPf/OmF4IRIdEpP7sueayTfS5lC8CIZ/Sna+wHIIRbkrkCVg9wPjrHiBrVW0Qlc++F7DOZteaJ+z3AtOe77/8K0gzorLl4L1PtiztT1MBVoE629viFh6jequ4vb/+gMOw4pf//AW9XlAhqvXA9OPERppHZVuF6zHAXKKkBqYAAfg5VcV5VAx/Rix+5Fx8PnPCqQIDv8wWMwMnH7G8b58XW1dW4FjUtSpNtaVKNsP9QJMTxXjY0YZx15gLLz+l18J5jc7LG8U9ZiAsSL94oQYK6YhI8WKd/sTvtgdMcUdVAVLjjieJ5QcMbyP2H8nqBNp2vmPzF7/dLpyqQC8WWCDKLZirjTqoITQD3CRdmAA2vjrdbAqtAkHOH3Qk9x2GIv2CtimyuAUgPb+4AuxJweNJu3ImwiQxDYaBs5iHn1bX8+t7UtDvjxRcNTOPldaoKrsX4Mlu8UCLEdytn2cUgm95K5K2sa1qqFTNo4e9Hp1usqVgAyrZHZdbePnXx2dKsNmLDbVJ+9pYiKlgB+4tum31gofLhsPokneD4kNyoRGRUqbA8O/S7I2cZ8eWPYEbHtTPm5iAixqh4gq6U4xCOTGS7S4qjwzAFKKPVTbuOBJLjo64wO4fQalAhLRmrWAT5C3bQ9f7zOHoYk+5tZH7j21jiR65bfYNRa5Ku5sfSjbAbt5rr2yJbQXAFqP17aP78qayQV4togRNvPG/+1zSK0nsNsx8KFrv6/9z+3nA4baVKAGKGzfeOXN2n7nNar7X3s5fXPT71aj7y9WzU+krUPsXqoJ1US1AL+P6VY+X3wMNvfS+qWaEmtHA73aH7JaAa0nQNh8llpgv0WsW6Hg9e0pWuK0rWhur9PnhCOTLdjefNwWnWwvLx54scav0Z/F1RhznK/msyE5QdEEYKoVLSFAzYqaLSEpVmE22mJtgmzbuXt9b7JB7Ei9teuImzd+DlHd3MsV68X38xQgsP03Xt/3lchWAJrqua8p97Z9zTx4PWbbz/mMIBs3iwpppX7PUjbX6c9MddPT6TY/xmJJfd/Twea6934FoMN7m9d2mkUho8iZA+p7rjb7Cy/0AGjz1AWnWjuOtT20lhwrWKloXwd2L4LQmQafYRm0M8OScheN0UgF39bj2va7nvB8dp4DbdxC2IwxAEFoZ1uwYgzQ+8M9hmjzdHPWeDFHIloPv6NgdYCxaexnNqdbzJIUOpo+R/azoM/3YHY57r3azlgXCUTflxyBtBtqc6UmQTSkEYDRtNGfpW/buSKcM1ugbgaLudDXoxc9t7opDZTo1N229YfNfgK0Qo2s1tLgn7k9amw+cQz5g+CCUxFW0EVPBv1PC1DE4E7NAVoDmTkeK7pKuAldUQHfktRVWT9NpisS+rwj0ltbsfdqLKzAEKoirFSRbmCHxcF1iChTbEUbn9NX89PvYbOv+9+1gAxHux4KhHFcvJ9+qyOTjgodmRBIZTLi88MR8bwjICSpIliSW0rwjjzUyF5b0rR533qTEXc9mS46AO9Z5EixYJdWDLEgDBXljNY/Xiutu/xPEUUdK6oJ2sGeBdkmPZFvzJ5ot54MvQydWeKTjdR02XyOs0xYmFrvydpzYKHtI9ZXzN9zIUl+Xt6j9ULDeqUd8acugaJumRS+Tpirsy1n0dZHHQqBnmifURZp+gao/p8gXCju52h+uQH+/O4j3o5nfP90i/MxtWt3hXnuLYo0FKxh6HR9hjmoe9Kw9UNsrRQ6cOziwkJOGY35Nti5oYA6A0LQWbY27I6u9nW/jZ05LmXncZb9G4Bp4jwZYkUM/A8Agqj9PbS11frxB9/nPz0nPvf6k5NcvT0Alwq9zJAyQL039Iml4vr2HnUYoIcROIzQGFogVgdSTvLe+rBGYL2xiewVolUaDcCbx7tlBgc5ZCCdtNFZ3IxYM6s443NXqFMRpEvB8GKbwSYGBwBPYHXgBUmtkPPCf9+PVGC0SlxYKqJTsbIJOFSlII0f7F6lA6iM2HpwwQN/YmYp3q/hNirVUDcPeoPwWualKdsCIKpQtYuUDImohAhRo1BIJ7YAtEQX60KjaXlVjwe7eXfBDtkqqGMFBoWcA8bHiDizV2U81jZ2cTEfThEiKQoMx9pEYra9slCqQobZ+oOr0YLMW9mtQNqrVqJ924BwGmnN5KwBEX5erkg3AevCTfDypR1WB6vyGbWkJgYukruAAuXgA+JEdFI33kWaDS4ohbY46dXScbGeSAVsJHyCsiy3Afmm09woaME/4yy9ImgUHCld1MsTKa8wO01fhx4EaejrJJoAxie06kQ0WgFIqC2ZakgqQNTaiwje99oGwsb/M5TOlhRs+xx9s/PxcoRr+2++HhZb4DGyH9RtiYIFqYHoMj0ead3iqCcRqAhXrm6XZPSfJkKxB8qO6949lHldYEAUOSfY64mumHksGJ54LU5tDUsP4vUim7FEV5B3+6FsFNrSr/nKTqkJrRWwEmb37D2ZzhqJasleoF2UMWDywdFPbRQsiJqaND/a7V00UlQmnuL1MwIgLyfIoLy+cYBOr+a5ecbqmMxKKZiugaAaTXa5DeyV2wvmN2BgbxRCp9yHos1eqYyhPad0rlb4NLTMUDOf102ZtFpg5wlnFO7HM9FDvd1zflhhUk2gqQlIbQXjSmmWd61Q5SrJte/XLjKIIbYirou06X5q89tbAq7WlmpLWnheFHjRbkv5l8t6vd4A7vciRPDtWbGPlNYlROeACEW8qCGRnbHQ/JOdTjibjoXR6AD2lKYTrzvvKRYVVwBFoRqsvUERL6XPxSC4Upb28VAL0BOrzQo6Leg2mdwWNIFGfW+04kaflb6/bYfFi09GnWOPNt+XJ2bAycWSAqgEHybg5GMaEOaCwftk99QV8H77eMr0pdwnzG8Hspj2PeYAqAmy3logO/Fz+vmC9l6V3hMqFT1JBXsFocBiBUwiWrA9n591/poo5M3vKqZHJfvRtguuJSAdK8UXjV5Ob3Wei16ACotiOBci1x8vQADy/Q5qPX0uDBcWs0a5HeGtKcMxIyxuRRSw3jPxjReyp7gH+DrlmK+3CWUMGI4F6cViCiuO1N1gfZ+b9gdLTj1JIwiSqDRsGZcnOo5wSgWwBOhYEfcFIop8SsAaoEOFjApkwfCRNjXDk/XSLj3BJZWVKKjbTYYcaAt14PdQXArUVMhWaIAlHsakGZ+qKe7XRrn3+VsOCTLyXuNMa7FWeBiZ4PFarHhnxW5UngPlpgL7gloTxLUWgif/2p5bPK5XveeH7zOOD4yZe+ETEEtK5i+sGLlXWrUAuJSp7Qt5r5AvZnz59gVPxx2W7w7QqPjyZ0/46uYF3z7d4/m4Q7hdcf7rCoji+5/u8cOHO+bqoihTwXrPWBI/TjhjsmKbFSgix3Z84nO5vBMsbyvGjwG7M8+sdLY58X3A+ERWG71tBeuOsV37rGro9pl9vlDg8iY0kCCeBOnEz6wxGGvCrIdO/L1k6L6Db5cv2d+s+4LhsGINA/Jh5Dq/53P0Hu54cTsoYL1j7BlKj0sO3zLXef5rIuluw9TyEAHSc6SP7qGi3HBfCbNAVsG///UvkIaC+TywsFOlnaUO8MWPCZfzDfbfRRy+U4uBOWZQQEswbRf+fXgfgQCcv1JcvgKmH2kvNT4Ct//EuPXpX1TUXcX4U8TwHDB+1NZemk4spq83ATVNcIXluAAhp647YKLu4RKgVfCsN9TQMAr77+SBQ2D92yEodtOKsFvw+MuAx7cJ408Rt/+sqGf8Ua8/Ocmt00DxFDucxOxG9PmF6MTDLRPbFBodBY4e2iItO6o9qtF2tlm6Cy2ERQxdRZdQrzYxKhA3NKbqlRxrtI4Xe58fLCuTrKuqi1ccBRAYQpgUWLVZ1rD/NDZqTgIQTtyEHKUFauuR+USkx2mi9tIYSHcDk1xX6BRLpvQy8+9blKBWiA4UUWkPobbkWXxjFbFgbnNvVn2u0WmVQBPx8LEUdLNtqwBpVIR9Rs1Dk84fzrbxeBKmMDRFG+07XraoZw/wQgXFkF4Wo/F4JZd90ZrxCskGE69SGLgC7GsZNvRgAGGhIqyrHuYIzG8pSuCVKoDKbOwXpLVAMBEJKMzewQOuDbSrCtRC+xvrMWARI1gQX7d7FBTR+oaocponiqQtd/Ye5fh7XwUgLZF93b+ULgpxldzCX9wCyn7g+3wOGa063QJDCzw1BQb6kf1lLdhMkTYkqpBlpcen04e3r89ZVzVEx+aRozRbFHLrrep0UKC/p1aKYNUC2e9JQUcGtHIOeyKgSsshMNHTLYoWOIeuXj4/rdoNgHNBAVnDJ6CWB48u7uK077hW2lkMEXowFM4LehbQNBQ/CMQLL0u59nJtTBBpzIKW9JqdUh9WAZA6pVm10aLgVVO7JxfPAGxu9enOeW60+EarirbH2di3+z9f0DjBMQAytJ6+RqvLBRgTx8LoyRqUKvuB6K0LbawPtRVxmOgyuAurIBm90mmF45FJO1k+uKJcynafqj3RvepjU6LlGoVJC4B4XkkfdhYMKrDUq3uWwrknLkq1KZzBrCDYb+iTw37P1bHDRszK6c5b1NaEp3TLAHBWiiG3rtgvlvw2wSn/DE/QUa2PNECHYAmTodNF7KwExJU7Y0+2xLQIwsqE0MeOlNKKdM7tbJNghQfR5mlM6jW6UFZhMiSqfbw2CG33kA9t374al+2rsaHsYW7YUR4vXCXFPjecour7pljQXjl8rdgfI/dq/32j3kqh1RjtXXxN1UbRzvtEb1brAW2oHlhIL0YzLgeehcNjQKw9GfZeaNot+TnJ6/cEi2tRASvCDi8d5dNEyxIpwOF7MTS9q7g3JwRFE6YTY/KI9S862i+1Il4K4nlFeDkBISDsBvriWt8di0eW+Jt/bZytBaBUIvQD1btrZDIoK+npsDYb39/LxPaDsAYyrNTWmgB1Fy0OsVgQIJVZ0RSJ88jn4i1TzuZoytWb+AVVEFNBjBX5ZUCYA2rr/eSYMvGxFibfQ4o5M2RatIW1sL1NgGBWlaKbs2DdIlX8+bZoEdwCrFaiXQKLSQMQeW/0nKeNm++bXsjz57s9t3zPSVNBPscWJ6gAXodvbKFLRlh7kjs+rThVZR9kX2ztetcbRbkpLKgsQiuoC687H6iK/Ob+hH/75W/xn8cv8Q8fdkBU/OLuEX9z+wNelgnPxx2GKePmzRHzOuD43Q3CHFAeVoyHFWGoqFOFrAHDR9KSa2K/etkr6m1mnHO2vtkJqPcZ9TTA1abd5mp6UtSTYr7nvCgRQLAEN1gg6oX+mSJjNQrmN6F7/JrgaFgqoolVEcknVXp8VuzeG51/6DoH8rAgDQXTlIl0jyw4lz1juHgJbIOsXAdlAJb7bp2Daon3x8r2qS8ydm8uKOdb7L+Hsfa4B3J/FuQ3FbLPKKcEybQjKu8n5KhUE4uGKtuc8QJQOglwEuy/V9z9c8b8EPF81/eNJqZr6PTwTBrw5WcZGCrGjxS3Go8V048LLl9PePw3QLhZEX+dsPtRDXCxtbLwObD44GutIi6Mr+sAnL8S0t6V+ZxWoGq0XJDtrrKSAl5HzsswFtzfXHAYVogo5ruE5XiP/U8VevzvZCHkiYXspo76xAi5u4VUBv5hyahhaAvexTIAoCFSiYdB2dVW5Wkv280yLHF1gaBNPFs9yLeK6XBkYBU2yQEFA/j+MoXWM/JaMEmF68WFp3Q/9UAUMOpBbVQaXgDfSxj/urrdfDqHxAO7ibiEV8EQkwo1tK15+7lFSgi9D/GVCq1fG/1j6Tva0AugUVU9MAzZM/sN7Sqy3zY9p0YJQgDVJH9KmE6C6SPHEcoqTpyve7YATnwM7E8LVl1uFgWGdAHoSr/uTRnFqF8RSIF9safL1T22nM3HzlFBMLGE9ZGxwMGKWh1oIK7JbFQGFycAqhLxhXRLoc+Ja8g4krbtDWDtmvoY+zOt00CEqyjwyqKIY9DH1tXvyh4NRQyZh5j3RjgVH4BJxxtaZwdwtR4wPyTSpfIznDq4QbSuaCSfoxqLQEwt3SnYVwUHo2npkDaUfLv/ZImz9+CVTNXZGIA4bcbt1Zc2+5x+arvQhwzD9fuGBLF9hv1g9CqFsy8s8XUFdn4Y2t4QF2B4tO9o7A7+3NH0Fgyt9OyMs0IWL+ABofW21nZdTBal94bafG8q88Huu3CetEDpigr7aqx9TpUC0cAeZrM6qYMhxUbFijOLe9xXFe7RuU0GnfpOMQoLjLfJFADZ7wC3oNg+r2C0ci9yrAVhKURzk9M4pdk48NphhTJtAVmd+JxdX4E9bP36qMqMFtiyQgzkKpDBCjhG+2ridYshKBs1/mCIYrPiWUHqoAh0HHhNVlhoyVlr75CmtSBGuxVEtD6NtcL7ev0ZiQnckU0AY6h4BWIzTzYJMBPZ1BO61y+/Nqfx+7qpgKBamwcTUdZKtKnuusJ122M2VNBkKqJEpmz+XCpkJTMpzpZQu4aE9Rg3NgLQxrm3J1VojK2Ig83vXSG3XqiySoy8Lgg4M2PDCvFijgqasKTTLXl+eQLNuUdhEyEFcAqIY0IcR0jo55TkimC+9xWbGtxGjKrRe1fYfBEgkqFQB7LOiJYrVWdVsKqgbOICyR1luSrMeMLmTJ6LB9vXzAV14RgrLNSRNMfpkQwAevDC1MsH3lfetEu0RMmKR2Pkv90fOF+HCLcTE1uPkrlfBX/OLc4QnstVMb1fOdaRdnhhqQiZiXC4UGOBrK+AdCo9RlDrt87B/MF7i5OLY4a58HJ3sc9lK3q5hzGTOj77mvgQlw+krIh5DMfnCHlMSIbq8YwE0ux0amyEL61YkrxozXUx+F7vDJKNCrQGegN7H/jwwsK9TiwYIwjpw9kmmc93e4W18t4yW6iGUNtnxRnGdLT7S1ZEDz6/gWRxQhnIKhCNiJcd8tK/o0z0N9396Joe9hgs5iu3BeFuRT0nyCVAkyLf+fPmdb+cJvztx6/xfJkguwKJinMe8N18j+fLhDLz/MjWr4+hMgJeApYyQpIi3mSUJaA+j4ALsgVAVkF4SoizYH7g3B6eBGEeEVa0uAgar2KoOvJnUoDd90x414eAmhS7nwSH7yvyJHj5uaHnF1pxnb8kXRkqmJ5TZ2cox3w4KtYDcPkiIaxMSCniCeTjAM0jykpmhet3pJO0ePnll+Y1/KPanCDFu+1dpTM5wkvEBTtMRZoIZh07tiIVkDlAkTB8jNh/T4bO6VcKjJWUX2ME0DaJLDWpgt13AeMzz8h8YCx6++uKvBPqwgCNeeHFuJoU2BXEqaBMI22WNABfjCiD4OYfA8puDwhw+mabi/Xr7eittpYJL7ayuGQWXLNifhNw+osMTAXDfkVKFZeXCeXMxBeroGrEy3nCvCacThPyHDGupJ3XTdHyD73+9J7ceaFQSZpMlEQAScC96bI7bXZg43hTivMHaYdHHZWVkb1VJyygqODu5lLbYQHqSYjcBjQExVXWPEFIF+vzNdQiZGD3WFsvStkFbnALA4lgAUtDmw3RwpBQD6NVQw2dWSsPnw1S25IJR6piMKTD/hQxkYzQko72qpacuhWTUZEbWusI0ZhQpoh4XhF/emawMKRmU6EhEFk604JBD6QibYPOkK3SlbaVSJvgEZBZcPMbojOXL6jgNn0Q7H9gv0dctFVV6yCs1hxXBq4WJLrSJ/1rM+2ELiZgNFnylALqLiEsGTJbkpus98f869KSoS9HIETI7aElXgBYBNiOuQdHEN5fIW1kfOL9zSbQAT8Ui9G0hVZTdYB53236+7av3QhZbD3HzXVsAlSpFH2qB6Ogr5WPzoop8N4tq2BqYNCv0dDcvfWKmO2Vz+Uycf7Hi2IwwRjJAIT9jTUJf3ayg/nogaF2dMKFXnzeeU+RH7obJLKa3VTznFXOUVHtifE0QsfNfA+cn06zVWTIpUBPJyam+x2Rvq3Hs01Kikyp9TaGFghDBNhNaL2LUM7p3XB9Lx6UDhHdZqxaAo6rokU8A1O5fr6OrKQTxSHCSqo9e3IKUdzFhLZQuC8AFMByFM17Dj3AP1NcyhNxt67Z9lS2YpdIL15tEifuDZXqjEFbJE4BIktyVyY2FKywwLk1yvC+mopk4FwJpoQLVSAlCEbA5pXuTYluqzVg6w0AkNfmjytRmB8OQ9NS8CC0XUIBvF9PjT4tOwrBxZmJpziiGwViB6JTEYcTA8MlB+SdBSJnRfOlzC52RETdAzOphXusi3xZq4PuRuibG54bObEFZHF7oE3BJlufuIngKUCasiopxdWgwiC9jSIGtlAAV4ydjsLXPpdVgThCp7EXn+wsbH1NsP1966ULS64rekKzKeak2Sr7VuTrqrc9gHKvyDhXpCNbPMJigotr6T7ZmwIpAIolXhZ79hFXPeNDgiRHJSOv0f2ftwlum0ee9GwSYaCtYx83ye5CwPsrkzTKnWRw34z8uwdbbqcVHBWYzGYv9GciWTlHAARlT7zGgLJjDONetCyMVYgFk3UQlD1pfutDRX1YIVExDPyssg9c0gGAKPLTiOn72PrJJPf5rREoVvRNL9IC/zpYMnbSNv6ud1FGwfhUMH6YUceI5S3FsPKeBcm4BMSlGppl+6qdPwyCTfAoMdvpzguOMjrDQIAECPzsQouBwlIw/uYjAGD5xRva5WT2ocqSEZ6YGY6q0DG1OdXYLoEWaEBAmDPCnEm/nxKgyl7gWpHvBjhF2dXZPX5srJQAIClkFYwfSD3NezK3xo8Bu5+0J6cFGI8V8VK7FogXqIAWvzi9PCyK8aX2XmS1pHjmQ4y2LuKZZ3/6eIY8HVHf3qLeTyzu+76EzTnk60aZkEQTVgvZ0f6I+W0AFMh3FborkMHOBWsn0yDNKquOwDIINERIHlGWXszJ+4jpqWB8EZzfBtSvN3vBoIgPC75884IfP96izhN0UIRbs548JkgOWJ8n/GaNkKiYDitirHhZR8zlDY6nCThHFBXkib8XdgU1KuQl0frrTcb9uxec5xHLh6EVcrzNID1yT7h8AUgRHH6nmJ4qzl8EXL4SYEdBKClGB15Iv15vFONHwf0/cGxOP6Mv6+1vKm5+fcHzX+7w4X8gO+Ld/wqMzxWnbyLWr1dABlyencpvTIuzYnyuOH8Z8fJ/WCDHiIf/LRLIuQjSY8T4UbD/kUJ++YZn1O4nin69/zcBy788Q9+PGF74e9MHrp/zl4LlDQPnZEWK8WNAOTPOK3tjoOz6fi6FxS/NAbsfBW/+c8bpy4jTXynSPiM/D5CZY1d2irqrmN6dkdeE8T/tcf9PGXkfsNwGjM8VD//xGXWfcHl3w73ClbcNZKwJGA8rDrsFL/s9i3kjsB4oxPbFf+Dz/f5/GnD+S1PwVQBZkJ7YDjA+E8H1NjtP7jVKE3jb/1ix/37Gx3+xx+lfFRzuL/irL97jzXjG377/Gu8/3KDOEXKKwApc4oQ5VtTnAfFEJuZ6AOofqdPyp6srl2IN/171txK8qxz6qzIgUQWyJV7eK+fVTSnCyoVVFCRW1MgNSysDf5ewpkk9On1I/fO0U9oUCBVA5sKIZtrtFJne2+UHLazvrVf8W4+fBWN6DdIy2FSrNnl1f1u5DkxgNQhV7z6xJfJgM1o/mPWBbQJ9dVpjrQ398D6vzyIAct2XCKBV3B1JdbqPW+eks0CfOYFc/TGdYTQrbdXPOGtDvvl3Tmitfi3agk3JRs3x4HN7rVWvKbdAQxsbhVSVSN4WKd0G3g1J04bksU9Q2pwIVgwJq7Rkn1SxjpoyqeSc6WIQPfACYH64A+R1L+72PcI5QL48mrJ4Yy94wmVjz/lrVBsFRDuNyEVMWpIm6CidovfqZhB9WQyVKf3ZNJsDn991c83bCr2NpSPqn6USBrOoaO+34RThxWyfkb9iJAKerMc8b37+++bu67H9HLK5vRf7N9JwtdG3tjT2JhJholKwPWOLcAKGDJpvcrpoF9pxRHxrQbK99paE40o0rrNVPMnhZ7Tnsf2cbb/568/3e7RkS3KFRFL7xawHtlZZIpZceqHERTg8EWhz79Pxl5zRFqZq368sAXQP7pbQh77WGk3aH5n/SOwh2J+qm+/35Fb4DLn25apf1GmJwRKFuKj109k8qP197G2ufX74fPYC2Qa1bj8P5tUc+ppwu5iGZm2YI1dUWg/cX7emxADV2N+3pfkHPyvUVNtxNbc0hivEp/UHv1oPotrRoM2ZFjKgoka71JZU1cUSqjMpqD6vnc20tfpxZk17bfcO9ISgPySf4wBQrpCrq8/ZFne2e8B2vTr9HwBFXvrzDgvXcJmsQBKV56M9LK3oIjztPHmFGL96tV75QYFdbEWZq/fYWdJiGwVkFWCO0HOpy7wAAQAASURBVFRRU22MagXYTxYrylBRU2zBZNsm/RywgpCvz0Z7NUqlj4GfZV40qlNiQV4Btw/z/++xjwthtp5PUz0nQm0FM1NvdqVfiCKYynWNFqcF7Z8NoNaAYP3T7qfcKOsam2+6P29+R+pMhBA2P2PLlgoaS0SHAEVo657XiVawc9RNX1hw8PM9WNAeI1BV2rnurSpk8/U9PZTa16E9E7ZGKFDQeosdMW8U9Mb44LW47gIAY+uFtkZqCg2w6e0BJgY4BAN4Qi8M+nyrvG5ZWVhQFZQqcOEeSb1Fxs/lxmjYvNZbFlj9Hh0NDeYush4HfEx7lJcBwwuR0BISIEA4R4RFkAMp35oF8xIhJhI0DaTtigp0FZyP1CXQNXCNBAJTqIKn5wPthBKp01Lo4xzPRD7rYArOAMpekBcrMvl4+Nw3VXWfA6KkBBPNtERxFNSJdHh//q04AsAtQjtdXVCNBVQH288zmRXOwIoLoCeqNYuR+ZwZtR7QrY3WQHRTrp9nOgOAmDo878MLXypE48tBsd5VQKUpGVcToisjmvUhl45A1oB4CSYsqJAimD/uqFIvwHoIGzsotLymxbwL76uMNu8BLKcBJZONtN6D7gxny6nsaI0XIDyndubLKhifNutNbe5HR63F1onvoSy+EGwiIruLK94MZ6S4YYW66GLQ1iIoheO83Lto8X/99d8AyV0hklugQMGm7lNIldMAWSvS44y6T8gHHiTeO7kepE3adIyoo2L5eUXaFeAGqGMElgA5UiEv22TewuDDMwzFYsXOFRAb0jErpve07cmHgQJDc0E8Z27WHlSYGE1NAfrG6C8KQNX6UnrCVseI9X5EoyCDSaNvfOGyQmNAvuEmHl8WhNOFAdXAqqUHOXqYaJmwZCIFm4DGRWkagiTSBKu6eEpXtlanRQNEKrInAUBpFh3ctMMCDEUxPAGH39l9Fm78t7/tyZIfkOmYEXJF+v4JejwB97eo93teo/q9k0otl9zR8P0Ap4J7bw57eGqjxAYX2tq89N0D721e2Bs9jQw4S23CPVLZ15JvB6w3ifRjWEB8IQ3LbSg8ANjSgdNZ20HIgFCuBcIA3uvtG2C/o+3IsnSq3iaIllIQTwt0TFjNuqkM2CjVofWjuJomgxjp/W6Vk269tftwwR1L2Le0t/HSUa10ZuU+GBIUT5mJ69aTeXvNnhBYr1W4mMCa2a6QtmfU3g3SAlgg2jxGbVxdPdiDld1IBLxU4DLDkcOeHG2upyUMFgDZ5+jMSE+mkRYtuQAXu35HbReuIYm9l7LbM/DZjscKPXHjX9WfOxqF34NMqRTvmX6aEbbezUtuit4sIqEH6dnQXUdpfQyH1AN6p3BvES7ve11WqPdR2WfKbsc5VWq3X8psQwgxQpaEMA2tqDOcgtlOEMWSKggj50zrQbJ+shoFOhli5r7PPs8fn4H9HYV6cgF05jM+TEy0vHd4MGs1Y1QE2H6LHnADaC0CW8o4/53rQayKDFc+XXmIjkfOISI4FKqSi2A8Vowfc6ePYhOkxmCBsM1H1Gatprths2caq8HR0yF2lDaz57XcjqgDzwgiUYbmA3AFap9rTmluXsbRWA1bRDIEFgh8v44gDd3mt88HPfC5ay4cf2MEAWCRdJMYyloQT0xg6t2A5lu4KAP9Sy/yOCKJCqPgc+9sY5iJaGvwpEPgKtNUvtd+nYhNpO6KzurK94u2BLfNaf/TUWrbu3lW2eclniGylk3SFFqxKZ0qDj9SWEpTQFYG6mKU0TJwWNMHFqmGc0WwVgOK6W3QdWOBUYMg81zeT8h3Y9tjAVcm53weTtXYS5yzUgT1lFD2ihwASRUSlMfBUJgE5Ih8G6GXgDDburDlViYG9pIF00c0MSQKsJFNAuEacCHHsNC64/yzEa4I7J6zGoAwU29ErSdWk2C5o83Y9EyLPA2wGIzXokIkuIyC4dT35Gbp46w7UxYOMUDKDq6yPTytfB43A6QkxBg6+itAHVMXmILNxbkg5IqyT1inEemckT5eoClg+WLfguO4EL3Oe45dujBm3P3EL1jvSHOVSmqoVKAsZJUMz8YEKUCaq7WxUUCrgRq25iGkXcMt02plkeHMJLRMFB8rU6CQTgyNFRNPC5HqFKD3h8aE0iDI99xzrhLrpRKFf0ho3uABrXWjGvMQYr2S59jjhQDUXQVMsKqJDTU6qBea+Hr584DdLBhO0t7TGDYCSBmQ9wk3T4Lpg6JMgSiy0PYmrMDp5xH1bkU9JkzfJWgAnn4eMRwWIm4ViC8R8Qcmx2UiM60eCuQ+Qx5HjP/bHmVULN9klLuK8Tcjpg+CeCZFeHkQnP4yQ6aKo45Yb3vfdcxdQGq5532HFdh/L1hvgA//RwIF3lt7vgRIGVAmYPxgbWlJsR4sXrgQzIkXpb7iRzRl+stbfm/6mMgajQAGwfResfM4oaJb2g1o4ooqivjj2BSsa7QiqQK33xaMHzPmdwnPfx5NXIxIbd4r6g2Qv1zxF7/8EZec8N3v3jDn2WeEoWKedzg+RmQjyJYlYHiiCNfyAKz7ivQUcfcPFK5bb4HnXwUML4rhhXvDej+hDrzv8clFthhnch8Cpn9ioWJ5U3H8Fyvix4TDtyzCLHcRISsO35Hd6UluyMD4TAE6t1BcD4Ll3ja62nOzdKnI+4DLr0YsbwQyRyyXhIfhgr/Y/4j/OPwMqizmOFNjmDKmacXzIyns+aCYv6yol+s2yd/3+tOT3C2K8TnkxV6dkmVvFQ9OpG2IUn1xi1WCKbAjqTY1Og+KKmDKkUppay8I24HuUvbesxbMpsaFGdp/r4P/VqlH669jUGQ34oikoaXe99qq1UEt2BF4f2CT3/9DL/s8AYBNMKRBOuVLicqRnrzpIN8K+QBotjAb9LRZibxCiEIBq99mhO70ILGgiJVzG0tLdGUtwPkCPZ0R9rs+bp4TOp3OlUkdkY4sBnjV6MpGon3G5nmYN2S7Yv+ZC7bUz8+1TpNER7ZWyx0dvbdqlh8KTZTIn5Uaxbd95isI/495WWX4qqqnHkChzyn59P1Eer36asGRV/7RP6Pfy4Z+5ahMrZ12+XvWZb8//fS/7Y/b/LYKO0wwxwWMRM3Y3O9FWiKqUvDJqL2es9vf87mk+vlxf20p1MSr0ILIK7sKC1gFRGnLahV/m89e1PFXcOqdI9vA9R5nn9l+4/WYtcBf2s+bArpqXxNXA/xffz6q2vcHLzJU94fthRAR5g1q1e9WQW0DghZAfPIMil8jTzAKxfizB5ktYOGy06osMbc9xqvknOusan1u/7uyNVJY1ZmBY0c9/KwABGo9dI74/BFrsaGu9K2W4v3Tm+uwhE6y3auw5aIOAqkBQY1d4hYKW4uhDRLZCjdV+meWz6wlTywLeiFtg2xSgK+297Vx3tyTX6fb/LQfVQ/e0YoKjnhTGdaLnvUVdd6KU5t+2HZdv29Mt3+/usFr5NRRzH59vl7109/3awFasQ/V9jaB2buQhePzPViLip/9bqmyRc7anG7XjIaCtTFo1+DXyblbQ49R2s/9XIExbjLXBVIFDPkSUUigFkRN/mz7g3RthqD8Lj+LmoaIIdoh9DF12nGNLCi9vmbxQou3xth7m9Ck3bt79vpHUMmYe4WaXU8TrbJzJ0J5n4GFoSZIZsvVz4jtzwDGUW4BJKXPVu/DpRhm389rFCque7y4PR+NhUPWEpON4CKjzuIzkbu4+NmuLR7khfb9BX5WBgUQbU1sxtDHfbOnffKq/E+HQPbWZt36/cHDSmWLhyPCvg9Ta43MC6LjjH2DnVV14Jxi+92r/UQ2z1bb/wCwRKwKyrBxuFC0wkic+cvxwiKLCum9RMc9RgLZEkXaz7AKqvXgalJoJt1aBcDkGgxE4FT9s7meQqo2F9DmNC9GGesbgOV96Y46+pwso60RU1Ovt8YmPUde14ArVX5RNPsuJvYuqNrnU1tXdqZQn8UYUB4j+hl6NdZ2liYWq64LyugaFQrEc4aUrjS8/QwoIFFxP10Qw9gWlQRFSgXLTrHeuYCVADn0+bg5K9OZ62B+I8h7e77QxhxkwRhNWDMuiuwuE8oCsyhVob2NrljX5Lo3fYJCj2l/bmFVDEcCgGzzsGXh2gKqnUlm/+499jIL6hwx14S1Jlxygi6B+jevj87NvTZr2D/i9acnuSJAztC5+rnRD0Gvcgs3xbof2B+zbax2MSQL6ltV65iw5gDZFcSxIBfSO0pkpUiUVZCwcKOb36LRBOIM7H8sGJ9X5J3ZLEQiwh7MNrEBTwK2NhF23UHR+0mjIL/ZoQxdlKLRvJQBuwo3aPcFdkqQVG7s5WaADndwSxEAwNitVcJlRXi5EDVMCXqz5zg68rBNADcVfQTvR4z9XkQMaRFIqYgnbRL2GqQdoFJrD0jVBCCSHUBCmk6ca1cV9O+6PSDE2PuGjbYEgD3YasIuu4lBoXKjaII5SyFibYJaGqX1s4WXGbJYj1xwdUXel7yc0BBBE83RiSjx8P6M4YOg3NC8vuwjLhJRBgp2QLiI3e5IDe3HpBxiO9SnJ2Hv2TxvVspIJMCSANkEz1fiU4aE1BSIBAKIMwPHQXh41YFBWh2AHAItmgDS8pNdK3rQBiFtJFfboDcHuouieAAgBdd9QMas2NIpRZXWU1v7ks2z1M29NLq9Kek2X0VPjuyQkqJIyiAIhgRJKZCZWZfesAes9eRebSGb72uokFUdYuTPXWSqfW9lz28MtLoxwZCQa5tjpHO6EA+aUNrOxi5saK9bEbmw1kbdlLV0VL8l4Pb/M0U4ZGtHwxG8Yl2QGVCaevrmxtFE4zzpD7ZG1xVYV7t3Q9O3n9d+3w9lbYlNjaA4xgRTjOx7bBmNruTz4VWhSO5uefqsK4Ch95geLzyr96ZqnmzeV7OViRVAgush1CNo0WSFQBfG2AaJZa8ddVULXhRmZRJM+MXaXCxAc4uO7VwkXdD26mwFsG1faYpArohH0ypIwZJ1C0atHaW6yrv1ZFLLQQ0Vi8Buc1yqIl5yU3NGHBjAnxcIgHq3Qx0T4nnlGtgU+toaiBF6t5E9FUE9TBzbSLVTTRtULHIuVNvXqfTfkwPXm8AW5S6gqJQlil4olbUXntp1u5ihoUpYNhZ2sLNuN7W5D6Crr7c1zfHWLXuhFMiqbQ33eY++fwKtOOpzUkwePp5Xon47UnRDVgwv2iwFP6V5MqjLuwDsgHRJSKVQvd1edUzI+4nP+HaEPFBQRaq34PAa8j6iHgR55/YYgCY02mEN/P/pfWIAflOgSTFXQSmCskbAGDvV7Tui/2cFNqPgXdHvBAglWNLOgJd975yT41Phnh8N8bQ+05oE643HFGhnRUu8ArDeRJy+JIX18COF9ZZboI6CVYCaEsf4zP0xjwFlFMhLxWD9nuut6S9sqb5BGqPD1ZXV0fmi3booCpYvDii70K5TA1BuJ7hAmlRF3vN7VYg41WTU1ABMH4kAsngDSO4BvscqDOa1ja2otHPRC6FhKUiXFS4aWEf+x0nSN6vhKWMAzPowI6TQ4ru6T8AuNcGyRmkOrtcgFn9IHzMFhucM1zK5pscHDEdtVkJM+ohOpwpIiRb/ohW5taIh7Vh6Ba8OZBm4eFcdGB/v3vNMyDv79xFYHtgGsN4xnoAXkzIQvienNd90Zk4tgsObM+4PFzyfdzh+3EOC4vbNCVMq+Ph0QD4OQFKcvyErAUtAXbmOlgcAD4IziLSGpwQ8JVrqPFMcbzIdnbBSIPT5LxLmrwvWc0C8APlWMdwuLAA8JopAWa9+mQTrLfez5cGmWlSEi2C9U7z/H3j+BFNudp0IgMWFdAZuflcQV8Xpy4jLvQut8lw9fKftvNUQ2roeHxX3/7igjgE//LsB8xtF3kcstwfMbwXnnzGrjhcWBoYXFhlOGPH391/gchmw/88T0hl4+UtB+VIxfn2C/KIgn0fE3+wpyrVT5Fu79pcIKPDy56ygrLfUOIpLwPAC4AKkY4ZGQZwTykjLpt2HDJUBp5/bfWfe2+0/Bsg/TJjfAKdfZogKTn/G653eC4bnTpePFzXR02oikLYvhW4XCwHOXwg0JAxHxe5DRToHxDkg34z4f41/jX9//2d4/scH3P6GrLT1lgyx5XHCkkbaFI7A+FFw8x8D6iXi1/ivv/70JDcILRpypsiH9zeNwyaJqtApdtVCPzS3mTms0hCZ7IZFoBpQB/a2SPRDUaEDxQAks2egJoVOQFxMbVCpfpw+XoA3u0bNafYpjhTVTlnrSQE6pdbQHJnpX1uGgHzTe3bioojm39VtDvxe6EnbejaUSbYO9OeLZWUi6UnfZWVgtmaipNME3B6ue8FaZVz7sHngHUyMppJ2oMIkWw1NCAtLz3W0Q8fRLaMjt2cQBbUIEJSKjRbDeP8KJ6yQXlZq73WzMRVHQEsFptTorluUy5FSJow98GkCXZi7UIyjDSbKo8vCMZomeqlGdErt8cIAMh8AJe0i3HUfSVZGzUJgUKwuZpGEl28BTI1WuNkkJZIi1W21AhI4H9tz78GJjzurGgoR8+JbPdBQVDu4pAoDfVNBbRXaZHOx8j26ilXVpFUxSY3WV4cj11PrMYvC8UGAaA/6Ve15ut9sDL14Ib33z9EiJgChU+C8Oi0wBNHmkG1qsAAgXICmRj1u6PUbf9hPUCGAz9nssCRs5scGdRSbDwJDKlzBfFulhwXr1QousOLWRVuBqvtCbooAG+q/0+KvWAPWA/4J88DvR7UnAc6qKJXzx+aMeIL6+t79Hs3LVcfhOrl9hby2Hr4CVJiyYUOLSPcbzry24v1Gr/tHt69xAGalTZNTy1VZ9AnCQsgUDD0wumdWaBHIUCESmsE9RFEvFkRFAAOunk0d0IpfW6RMKoMtQEwMp6P5wWxSOsJk9wTelyyWqK257VNqKC3W2tghPu7s1QqtSIkoqGYXp83GSGztefGEcyBkS6Yb+lkQTq56v2tnnfh8D5u9vFSKSvm6sCq7DmT/hBqAEq/nh1/zJsEteyZC6Xw9h9t0VF4nmvgdbC+1YpfZW8maOWYp8mzMJmAIbJhBdrYDvdBjxdCtFkVjQGHzfTkD6P2KbT1v78+vyW+gVK6Vld8XokBqYnFvYYDqhfIrxMyLPbaXs3dV0Vgh4J5P1CGwoDIZS6nYc7V1LVZIqUlIoYwwBB7tudFj0xLXRLskDYqMRNQlWvEycq9n24pu7nkb+/Day0r6dSja2liqIaXBLBBrEuQbPg9XGa8pksZasGH2oCMpYmq8dwzkAdsjPVgXIrVhFepwWPHXVaBDKzCZ7U22pM3jHtM8UBHUKaCMgUXyzHENz0cWar65Qd4HPsesVliK7XNIMaW1pLOuVIhkaQLqC+/FW488EYorMBwLwlwbGAEV6CgNba5JWnIZmqetzZnYr9+RZCn00JVSEebcWvECbLw8rrXP9v2hTzYP+oEQtdHf41zbem7IbhRrr+PciFajdhSL7gn299dHh6HW1yg6CzFeSKAgm/2Xu7J9jUDd8+d15PMsFYYkC31fk7JYueltvdvP+JuHn/DjdINfA4ih4i/efsAhLfifz79AXkfA0dYKyBJ6UWdPAac6WqJmbijpxMRpeqw4fHu2MQoABvao3mSUxFi67gv2Zumz5t6XTZFFNIEtnbgm45GCS+teIe9m1BJQHgf60K6A2jxzG6LxqSAuFcevI/IBEJXGEHBRRBgCX0aeW9NTxfTdC8rNiDINyG8z5jVBimC9B8pdsXnFDWucBdMjacPn44h6HLD/UZFOwPln7Md+c3vGv/3yN/jfH7/Gb/9+j3QUnL9R6G2GHCOGZ55f6z3v0wVNGbfZ/Fhyby/KpPCn5xXpTbLFZGtp5T0MJ0UZI+LDihAqSg5Y1whZB+ojGXgAELgJ2daTqfWnsffl0qeX8Wu8sPUjroqQA9az4PL9iKdLxP77gP13pK/nG0CrQC7M/aQK6qBIF8H9P84o5z/OKPdPT3KHxJ6y85kH0mC9XOfZKv+T9dJVxIup0s3hKmAdH9VQQyDfemBhG88asJ4HaOFhgaBItytiKph1Bw2Rg2seug7L50NAvN+hTLHReLhaFGGujXbbKv72EkMD3IsQY2KAHKWhP64WRk9VVnDnu8AK79I3j4ZsqlVkvbdIgXhcjCZl9xsCdAB7GOstMA6o+9GqjStk3qKewVBONNum5p2oCjHBo+oiGiYuUceA9SbAVVYBm2yXXt28GgtVUlSy0kLFiwGOejc1bf9FS87c6qcCAuN1WWIW89I+Xw8TnNYsuSJces+b7kYGtfPK3TYGIAxMesba+hnVLFUaGgmY2i7pHONTNZXM0BSUXVjLOf/V1nhYBTBhm8/SSYPAvRY7dVRbgMr5kxGPfJ51JG0rXqL1jgWEApQVgLIqVXayqaqYQu1Q+ZlJoVDkoBCrfkLd6gisPovT0P2hMdAS0YaMSCmdOaD+jIQJrveOAgx4A1qvZh2j/ReQ9zzI83QdTDZqXQZQx6u2ABalpM1PAMA0kGrTep43Y+0WWdsk0+eWMRm6bZDdb4oodzsr3vCfymTFKEGjdTtKz8RWmoiNgEmtC/io99d7Iez1HPDEyampnsCYFyrs0LsSRYtC8Y8N66F7W9v/d0GzbXC0Rbh8bLZosiUuIbPYFgOs1146jd0pfLAASNDXvxdzNowFFeEeNI1dzdwTGFfpdhRQrYfTglP32Awr7Rqkcj6HyOCgRkBNyV2jr7sujORz2BGMOMPUYj2wMHXmyYph2QodSyV7xHtWq/ZkyuaSxtgYBnyulftlS2hDSxo0ELnTQDTQ6dgAE6p0pGp62bPXMMwF4cx+CDWtBT/vXp8vWxp/QzMrWl9gkAKN3A9FFVrAxN33eBOs8X5Lr5Svt7YvWVLuFDsmCrHRX3kOxjY2Yakt4Xa/aXHKuutGeFI+Ds1+CRtUtKlQr5kK6pqu73frt12K3YtXT6UXUl4Lu1k/dXt5UWqlinTNPSkUSwYBtKKJVHRK7266thBaeO9NVXi5Xux+JgOG1M6K8RFwJVIVIBT2FCJYkjBQcVUBJrcmvilRoahY3wipgQK4oiuqxQyzkDErm3uyPbAmS4qsvcITHFcAbtdszANY4Z10PyarfutlCsaU4PecvwiQh8BzKPDfiono5J1RUIP3fgrWwwYlzkQ2pWjzhG/FUfCcRa29MBUD6ptbE4jkdbhYoos11lZ82HxvQPMBjwugLl4zOa1W25noCDD2oRdAfM/0+x+6wjzjJN5TWCqSsl+57Eg9TScmJHUIEHsOAbntHVBFPLMYXm4G7jPOTlRS7AU8c8gy5Fzzgpoa8FBjp8SzJ9z8cq1v1BMFWKLPeBJ2bWgaNVBcFTHTiyB/pSjvWLgIC1Az97e42ndZAuxJC9WPlSioVMRLQJhxtWfLJQBzwNPtDk83O5zWETkHFAn43csdYqhYFxOwugQmyQGmDK0YzhSdqgNQJ6KoN78x+uyOz/r8RcB8f4N0Uex/4BinoyA/Dqj7AnwxA2vE6Te3pApnJrTzF8DlSwAbOquOFTJU6ByAGUhnQf1ushhaUfeKtdJLt0xAPVTUKWC5jxhOnIfpwjFYHgRh5p6gUXD8WUA+sCd8fFbUQXD+5T2KnSGyBLiiNMDxaG1pibZOzav3NzvESp/55R7QVFHmiB/e3+H/+fIvMB9H7Kw4FRZBvUSMHwP235ut2S0ACNKRa2V4pkI4ADz/9S1qEswPAXUEzm8jatqhDMDNb7hvTk9kbTrFPy5AOUeUENkjXGif5G13asXEy9sAuQ+Q6v3ofR/zeHH3kxrTi4Wy5Tbg+ZfBWg4A+ZgYH+/sGSQ+Gx2Vud99QUwVl/Mey0NCbS2bf/j1Jye5OgxAuaBeLgghQIYBWir0+ZkP4mdfmXVIBcqKWGvzVvSgZvcBGI+Cy5uAl5veAwKwUqgn6+COChkL3tyfsB9WfKeCJY7QY0S8GEfdqBnrPkAezMplW3kFEM4rAwcPZj3oAGhnowocJlO9E9SboR06caYfoE69SlFG4Pw1k/Thhb5ZDKKt8m73kma1KtqnSRSTAH8jBbzKzchN9FEpdDQMaPY1FpiV/dATCHu5KEtudghihwcb9flvfG99HzCGXsnsljO+0bJCHC65V/792i0ocqW4lmUYVUGKAu4fKQLRSrS/KurdHuVmooXQiwkHudLokKCHiWI/bofkAbcjH07fDhsBmOQ9IgwAQ6mYPlCEI+TBKEtoQQIpUILllqhNMITD+1X+4KsUqARI6iVVDQJZVsi8QIeEgB20KoZTRlmJFoQ1ICZFXJkw5p0fwBYQDUAJTF4xVKrK2eXkISGUCF1IbxGv/nrvbjskPSC3AkLR1g/aFCxjaEiS7hKD6rOjdQPqEJAPCWUXbd4wyaafm4tzWCBpPVEajeb2TEuXRk0U6Yi+029XEyV71UuuQ4IET4BxleRSnCf04DeRRr3cD6iTzUEF1pvQRA+oIrlZG9avp9GRDNJsZF4BE1OS149f+L7GmDABI5nXhmhpija2m8T1qqXA7q1qRxlL6Yi1JcmNLbC99+11bJBiR9zDWjHYmq+GKIQ1NA9NAL0XSYCt6qHOM9QFlew7dDd1NK5Zvdg95dIToTVDxsEQGEN0siMUgUlWBBB4IGu0JGBvzASj5+u+QBLpbCKKdRxAz0f2gKWLYHyppsJJ1JXK7gUoDDIbglvq1X7O5EuhdwnlYD6ic7Yik1tPMcjMNxHzQ2wJi9pZ4uid7+nxQrRkvUnQBIyPgvBiQnRWMGoF1FKvn52tPW/9aOJvK+eLeCuEP47msxxaIbOMAXUyAUFDiLwHzc/OdBETLhLkQzQars11sf7WBd1v3Sj/RLwtqTaVXJkXvicG6C5BTWisTy5lgnu+QMaxM7WcympCdlhWW/OhM4DEz4rCueXPTjiP4V7Gm/Oogsi1FyPYO40rRhLXurS5r9MIlT7P4yVDEhkarUjhbKJof6aerNGLmnvreiMogyCctCV4ZcekcHlj61NBdoP1GYYB0IlrSV0ltwp7XOcAfY4twd0qLgNGY7Ykl0UrT9yAdDFrHkFjbaW5kJGQAlAV8cwhzbvA4k1EE+c8f8m/s/hriUwEQurImtOea2QxhQF/NYonLYCu4hDf8paKuIlz6hBQ3+251vZG/Q7oHrV2npWJ4+sCYKTZij23/nzLhCZ848ikKLDcMllxP87WVmZjqUEwnKywITDrIiAs9P7O+2htHaRYq4DioTEgqcVX0WwSV0U4LUCmZzimePV90an3zp4wxwlNASWlxo6qgzRGVCtSohcnnA1T9oLlYMN85tZRXdgyoWty2Gt4Bo5/VTH97ITL04T000CS0A6tNdCBljoAuok39C4j7TLKhwlhMfbOUCEqSM8BkoHLw4ineYfjQlVeVcH7lepIZeacjifB4TeCOgHHP2efZzwLdu8VeSfIB/7/L/+/j5Dzgsd/+yVOXwcs74hMTh8CxmfOu+EI1I8Bl9uMb756xO9+eMDhn0aETAGoMiny24zhYcZ6HJF+MuGvfcYwZsynCD1FxJNgd2TsfvplBqaKbArFuMk43F9wHA+YH1J7HtFEmtY7Xod+4Pw9/VyRv16w+y8Tpo+cY8+/SOZnrAiWm3iyFy5eUHIROM77uAC3/0zw4/y1UsBrUOASIB8S9LTDrkjrT44LIBowvRfc/Toj7wJOX/O7Hv5uxfTTpZ0Zl69GPP5V7IUQ8PkvDxHjo+Lh71fEpVrfsCLfDCg72iCJ+daGWej77X3atj41Auev5Gr/ijMR+ZYSrIrDdxnj44J8SMg3Ecud4PTXKxAV428HDEdSzfOe+UkdydrFVBBSxRfvXvDz2yf8z8dfYb7fsET/K68/OcmVZQEkQKap2atIDMDtDSCBQXS0JNWphwBQlfY+/AuAgHRRpLM0ywvvmdTASovcrIhDQbRfFLOl0KQMvgN57lz4YiiZV3RtA1B0tcqyqR57YOH0YHu/uoCDHSQAWjDBxBHNl4/X4VRmQQwbwYLKgyK6EuJkMvt2TZ8gh5WbbruWlMyHuKM5zQt1S8PaVAhhVecySqNSuOdqMa+uskNvPAeRmGQHxla4YysS1SjEACu1l7z5fulep0vu/nhG45KaLJBXJrhbpMMCn1Z53YqUSL/vLRoJoNON/PlZALB9uQKnU8rdP7kJAwBoAgQCYBohm6BIiz3A9oEBr6mjVy/VhizJEtmy2EeZCJcp3zrVjoiWbWxREYaKGCuqKUuUpNbUr83DsYmHWJDD/2//6CimCNdkpXgRr78H3W1MN8GlRlL56sggspgydN5LUxZ1YQjMukm40dD9Rm0HjNYJXFES/RocxdxYSzhV0d/XkJ8Ne0D9O+zFAIZzPO9MuCB0JBMAi2Ym2x8HgUpATAHRbDMcYfbezjb/GkKon4hQXb0aJdnuxeejf7aPs6PADemNmyTNErnXVFX7r3moZrvOICCfRyESjdrT0QP+PucNkwg/jASSEkRjEw3zVgPxtbbZDwEwSXntodtEqmyvMsSQyC7p8RFEJcte2vW4fZb4f4HIek3WjzZwnpdKKpgY6iVL5Tyvtl4j9xenEW6LKlIqFJZAusiJ7zH2qtEUVEcq93v/tgaiDNUYOulsLQIRTYWfNEBhO852bntxCUCz0dmI66iwGNKScx9T4Bq9TFbEC6G1DDjV19lEnPM9OVKh0EwYKTLiVObGsPD55H9uizFb6r2/NiJvn6yLzUu2nwHAPaubpoQXIDy5t7nlCa5YQcWtlwQWSLUCi+kcaEAJFAgK2TfA/tr2n7b9oW6Ks+CcCaVCZq7rFhMAjZ3zCZ3azg7Oa5/nxpBYBAmMPzQK/W8TRXecJjyMGTFWWzqKeU5YTyPU5tSVONTmuHE02gXmAHRxKA9fqsc36po1jZlSdsGQPhZFykTbE7UClAoVS/vgCHSx/VS2rCeiiXHdCMCJtJiEiZw2qq8GgaJTGCHaeszjQo/Y4Amus2gC2pjWdoagoZhdPKnHdrw2Cui4vkhn1GkbHx9Ltd/hWS/W5oXueim4LhiraTs4rduVoisAETpHYEDZJ5TJ1MDXavtV6fGdzYM6esubJ/Kb5xo83uzPFQpG6paQhhX9Pb6X+/wJ0tcdeGan54BZDqYLw1i7DoJYaZknBbRishaqsFjceCtU4Z8K1jccY5iQVE0KgUCXgO+fbhGCYn8gezMGFtIu04CcIxbscJlTZ80B9F+9YSwBYbye7yaEMWK1JKernKNT8O0MwBLwcplQV9Lm7Qji+70XPijyPR90UCCv/HKPoUQFZVJgqghTQa08q3CJOC4HxKfIua/WHlFYzIKQUZR3fFYhA3LkZ+dDW0LGltT+DG1ueT++DtpzioEMv2JFqDpyDwoXsv+2Nnld7VwQbO44m8/Ha34bUXaHlnTmfWg2mX4dZQcsE/f+8oHny3Kf2jp3a7rhyXRxbPwbHXywsVQ0OyePpzUAyz3fG80N4/JFxHprQrW2r8YntpLGs5jNK8e62Udttl9VQdYNY+ka2/u9rz85ya0/fUA83CN++UVHX8YB+vXbntz6oeyIm/LBhNmowVY1lZpQBiaMHkz7YF++qnj41RG7ITMQUmH/h3CS5kEhS0BYI2IEltU8yiyxjAHAI4Oesh+gt6PRlAquhUp8ELva5pbyq8GDfqqXLW84IcqeCor5wOpMOguGR1JLx0dFLMBwrkgvJtxwP9KK53G+DhorjO5iSJcdFo0+6FY1JugVN8ERVKFjQtnTS6GM3MyWO/YT1ZHUCA2eLHG2NLW6QkrG9LGQUpNCq7S60myzaPHq+nmhSJShrxgi8t2IMlLiPD7PJjpmlKAhNtQwPJ8b/RQpot6YEMjZ+pO9um9UZQRpYibt91Qh88qAaIhAMJqq0XPbwVl4sPqYlIE9AluF13ZgRkF9uIEuEfit/by4n6XSXsVQ7M+ibbCE5niGhNDmeFgTSk5EiiWymv6RmlbrrVhFD5BDRkwV+8OMFCpyDag14AIgF7F5LggJqM92+QGmuAlgo5fFDEOgaeA8n9GDWhfG8Gc7sF+xTuw/L/uA5YYiAPnA+TO/0yYQBCVrYfxoVg/WMlCTQKzXzdEhucxoyuBuQxMEiOkKnQdAi6bLzDGeSFvX3dR8h7fqtppCS+jyLaXr84HVVgYEcnXIhJXV/VAYDPDviX24lYG4rNaP6AmTU5MdQd3SKu06miic05ensSUHGkxsaGbDrO4p3sOE0eb3kCwxKiwGDUOjbjeK5+gIMpEDSRHBFU2tpQJRUCUwl9WK1uvVEqBNAjcI5ObAQP/k89zskNbMNT0ksgksGdKXI5Pg2xvo3QFuDyeVKLSat6b3mdVFGxufwTT/ogGkIaWKMBbEWJES/zxWQTmwJWO9NRRHGHRPTxXhufYeUzWl1xgQTqv1DBJx7GuRlMqG1rkCauB4lV0k+n8rmN91JpEGirDUQ0V6DsCPjLhd/MfbOWoSlFujojuFfM6kdW+Lg178c0HC8wI5GswWNwXMTRGnHgYsbwyNMLqq27/liXs7reFwFYi4lVQ6U2AkzsXYF9rPs00w3Pauqs0qy9kzrW+4VMjxcv3+Tb8uUjKU3ZKfyYre57mzF5xBsue6boJXayZbSaT3gjsC7OhUVcQoCAMbvOsgSKVa4Ne9TB0hvFJYz6V7EoOJxjBnyJJRb2gd1GzXFKiJlPCusYFuZ2VtAK0f3uwx6mBsqUvADKBMzJzqGhHGgi/vj7ifLvhy94J34wn/+9PX+E/ffo2sCXViBtQC+UK7DSKZFhBeSCWsIxFZzm0mSelcrqxxfJ6WKeD8jqyOYEn5ci84/4JjkZ5pAbO+LUj3C/IlQZ4T4kyhprAIhhe2H3iiLAqkl7UhuD73w+rq5EAN0uKH8FwRTiu1GhTQDEwWW1XvdQ/9Pp1+nHd8hjXa2WjBv+8n3rojmUnveksk6PBDxfBUr5MLoPXY+jPzPtXV5qknxE77JtBiVNXTClTF+mZiK9xFkV5WaBJcvj5Ak2A9sFAWF0WayfgYnuZmcQcRlNsJi9kKNe/azPjQ509twqbanm/eSUP0xyfun54kErygMFPeR1TpBZu8A+7+CzA+Cz7+y4Dwbx9xfpmQf9hBCum1aVZc3tq+tpBWqgnINxF1V3B4e8abmzNeLhOen/bQHFBuQerqc8L60x3Kzxb8X/7lf8HDcMZ9umCQQsVcjfj16Q3+7psvMS8J+nEHZMHytrIv3FoNFxU8/dUOUhSnbygMFTIpzVKA5SZYUV2RjoLhY8TTcAu5BKP7AvRwFehzRKkCuVvxZ3/5I9YS8cP398CFiGS5LShidd2h4vbdCUMs+FhvoCVh/DHi8FvTszi5fRn3oDomzO+YpF++4NwYH4HhmQyg0zfSRNBYEOtzyRNcRyjlNlNpWgVFQT/lWNkn/DxAloD97wJ2PynmB8H8hULFfIYrqejpwutcD5w3fj58+De03fJe/PQiOPyO68qtVz/+a8X+L5/x/O0t0olx8+nnnE8u6pvOnD8QNBaI9zqvN8B6X4nK/2S94lyWOP5CcPpVhswBu+/57I6/ZK6x+zFg9yPn9v1/8liO63H3QTE9FkATTr+wZNZyvSVHHNcRsOL9ZyCGz77+9J5cVTSUzdGIYP6apqzX6JjqD14bdUNWIhEa2DcUF1ZYalIzKbHig6JpO/krBFb/G9UlMtGU3Klbzb7ADytHOK/6GMVUaF/dW1FSJxUNcWlURvHEYnOoRpB+FxV1DU3QqMvE+6koqLYArlBRD/K3fYENmZCeCG/e7zRhvy/+vt2vbK/L0MvU1WYBtJ4It2OoGXARhW1g7MI9VwiA9zyUan1HmzH+fS+7F/Hrr108qY2RIVre1H9dTX/1d/v+7b81upBVgrWhX9K/J3QUd2vp8wlV9fXrNXqr6kSEK5pQ72XrNDwphqZE6UhXllah9YuXoAixIooiGQSsolhiQYkJiCZiskleripewnH6ZF69fnn5E5tn6kld2AT7Pn+sclfHXp0kg4HUu6s+DCtutWeync+fSRKvxu3VywsVLcF9heA2BCxIU6Gsg2VVXrywpFwtAVBHGqLNPxMDuUJudTP/PjfvNmvBKU2fvfbP3dsWBf3c63NI+/baADTV7ABIrVAQkWiMhLYg+z4oxk2T3zfXS2X/i33PJ6g7YIPYf1nUESuxdWu2RplBaCskCeDWcFe/D+7lISiizX8+Ey8ybPfQzfh8bl6/RiIDOkSzRSzhZ0BnUfSiqn1f0Laf83rQ91Uv1jol1+aPyOb5/KF5s73Gqq1N9uo6/Z59nVdwzcf+b1fXHfoRoBFQ66373Ks919iLup99bQpirjj+2Xvwz/p9n+O+0K/Q3qu57ayGzXfLa9aEFy7s7NMIIkqAPRu5PmsF199zNQjbOW1/XH0/2ncBtr4dJgVaAb+tI3Vkl2f7a3GgFCp2ccV9mvGQztjFlfFF6EhuC4Y3yXW7BmF219gy6hfZzzW/nyaeZvNWI1AhEO+BjxY3JWXQOBXs9gvOKigXFlWdqn+FLGofFy/IaJLWK+zsNwFQHQ1vk5LPQCBEU6FAkrae2vPymGMTvzhTrm6FQasyjpK+94r9HpHazbPaPNPX+54X4NreYvslt0qxnlo7t5wqjo6Y17F73fo9tDaiV+vfkenGuDLkvYl46iZ+AVqc4OPeUF81ynm4Pt9e3y8904mOhRVYlwRdQ2PytPkUNs+4gmJnWaCZcyHaoOkaGotFRRHcz7QKklQMUjFIwRD4X9GAQ1qxH1cogDkpqGTdKfdie9h6w3XjPZlQRVr4Hsa/2u4lXgT5HBCWvv76OkSL5QVAsPYMFVCeOtqczwGognUlzVpzsDPLEtPy6bzgM7C1F+wPQ0j1AMZlpbfFyQq4CSYp52raQv55vC/W+wvGMSPniDwkCogpIJnfVXb8u7NVvcCjgqaV4mu2jkDdVbgbh8brYn9rTxQXqLIC4UjRKs4pMjq897bFFMER285U9VyoOTdsNgzf28qkqLuKvGcCHjJbBgHrubd4rNqeQGVvQ/sVKDXgking9UdnuPhvkOSGL99BVoFeLpDdjmb2IVAwaEZH3obEyq4nlGq9DGtGTbcot9xUqZoIrIayldEXquCn97dIY8YXD0dMsWA/LRBRLPOA8sK+ivWhohwEwymQs+4iAADtBwBOkFJoTfAyQ/cjLj87QINgeF7ZmzFnyGWFTgnxlRpnmcZ2tnjQXy0Y2tIDnUaRD6yqhxygIVGG3IyM6y5BSiCinCuRmGFs/XZXweC2X6r1fpHupjc71H0yUZJowb4H/F0mvlifgC/UfKPIB0e4BHUSHGtEXKIhXgopA5oHn9kDMfgMkCGRAhtjQ66GZ2saqLwfqRXxtFGTHiIr+Y22aXS2lfYgcum9W7qf+mdVkK46EpX0fkG3FJHc7YZCptq0V5nTy8pDMe2w3nQ6Bg+LfpCoGM3p+Yy6nNrYk143tgKELgu8sHNF7dy+PPk29VIdImQ0ERjzH272DoJmos5kjAFJDBVjLEihoqhc09ss8cyTUMzMDmHao4Ab6co5ImvuCdc2QL2iUPJArqYS6fQXjTyAyqQo+0qazcq2gupKndaDQVuCgChEDkII3NQbUlnBCMcSQ1N5BtBE1DAkLiMXxoqGBhelDZlbBBkqRTRAeoJic12hqCbSES+mnqiAZjJBONB+MAQGJRoQHL1ywSdLhj6xS2lFq0CESqRRLvv7xBD/Xojhe9iPy7dpt5URoyk3sSciu1hX4HFjKWRrTUph0BACBBxfEhyE/+40QKBR4oZTRboI0vMKPZ6ga1cp1HkFYuUzWKmY789EpwFSd9xvYujq3AEQBKiJp4VzxjgXs9EaKOh0CE3Z06vcJVuRT7T9F7yHpaBT4ov1+JhA3npLq6J4MYR2WbsK/mWG5ILgiZnv29Znyc9m32sdidblXWgtHSzk0H7Bg9ZwCS2YqJGIHmlYrsyN5j0b5ozmEe5j6nROF39z2noI0Dvjt3kRaF4QqqIedtxbqiKe2cOXD2GjVmnB4I7BU77hnpBO0jzBodzvl7uAOAnSsSCaPZasLGDUHc+areJ0m7tblpDvFdb20NbApsf/k/1vuxbc8i0Y8+Jps7fa2pLI2MFtq5qvNN8E3Q1YH6aOpBvSVgdpYwLA/CxN3GybtG5eYSnIDweU6YD0smL8/gU6Jizv9qRyzhXD88YGzAsaYmjZwL7oMpLVVQ/doqUlO1VYqAlqILkga8S5DDiVEZcyQE3I0C22RAUywxhYoSdlSip9q4Z4MlQACRQXC+btXFz93BKZOHN+5hv2E9cRkDWwvequAEEx3SzYDRllCrgcAhNUCdbyweAznRXjkUX/+R3P5ebL3ET9uCYQaL9UJkFeI2TtglUQoOxj0w/wnvc4m0bGm95eVQfB/Aa4fJMZ+FqAKyuTEQxolOr0IoiVjI98CEjnSuEoGEpsBa0apPuJZ0V8sefsauiWyFwphGeybNIpNxpyWAoqutvGcKrtPK82L+d3E6SMXfSt0jrIbcoANIYFjMINAdIV+0bMosVUqEeO1/TeepDvmDRMHxTDS0aZuytEuVGcRsH8LmI4Avv/x4Hn+S31EZZ7O/Nt39NBcDYAKGRFfD9gfkn455/2CKeAw4+85vWeMW8dLJlKFf/0/BbfxnsEyzb3acUYMv7p6S1++N0DIMBwWCA3wPJh1zRragT0RvFysITtTQamAv0wIJ0tD5iY8AxHR7eBdCEwxZYvxig6oIsVXSJ+849fAINif3/B9DbjzeGMh/GC//CbP8PufzlAKlCmASUAO1tTZVQ8/Q3ZmDe/YVy8Og05ss8Zyu+FJd3empML9VJ273kurHuO7flrslGRlL35RRB+GBGyIO8VOlXkqJgTAaPxZoEegOXxBiELjr8s+It/8zt893iH8P++x/BkuY1SCGt58HiS15SeBcNjbOzEkK2lRchyq6YlsfyHB+wvBvgAmH7q8QLXDXD8uRWiGujBvXV8FNz+M9vDjr/k/nX4VjA+kg2QTgl1ApZ7vj9eBPESUfaK57+pSMeA/Xdcz+s9x/38jQCICKtQTCsB558JdFdw0h0u5xHpmTZydXO8/KHXny48NZp/aO6iQQB4QLk1wVYtddvzelnaQaZmuxKKJ4qbgfXA/xyRLaOXlDGmQp72GlGscqCjmm8V+ibllbpE2JvJFCm4sqzQ3YCyp/hIugQmmxZgyipGw+FHCXqVUCXAFQmxrfT72Aj/TRODDm4kRhvyS3O/yaX0z0zWhdMUWmHjVzeBNwwVsWAkwGT9O93FKVv9wNNW2feAtw5W2XXqKkj3rMkGbYEpJ0b2mZiEZUfEAxWPLcgnQt99IVuSZ+qhOvB99M+L1hftVUtLZD2BHUNLjhrVzARYxMWhvDpcSJcUESqSlsJxDNy4wmo0VKvEbtH9Vrm1l1QFLjMTWX/FyL7WGKHLiq0NjkogpfNzqJyhEVtrnmbrsOlxwOYZ+WQTmyRDLJhiRgqmtCF9rrn/3dYYW4Nsp2EbPwlMkFoQ5uP3+hU2iZHNyTrYAZK0V0IBK0SpJVQeEHmwJx1J8wC49DnsCpRXnpumHi5q9M1tYmn/uUe1IxetgumbcOhj6bmsZAZIvhZeA05bFIRK7p7h2Bxu/YXa57b/3CxkxOnrvw812ij+ts/yP1+j2/73lkwUKiEDkP2eSUGlANJVb4qCiJujG6/yDlGlJYsqwiVDc4Zu++LrJrGolUluStB94n16r4w/x+IIna1h5e/JXCEji25SA/Je7Jqo8ilZOqoLzvWrR2IofOu9NeEngG0YYVVayviayhWS6YUqAPd1W68NYXyFPnog6mI77QAPnL+IClmF/9kabahYNDCsohcAq50pRTsiuH3um2cpVaHTAB27GjNK7T3htULFBHGyopqHfBnQ6eaxo9BdKAvQzMTHRRjdfzXOAeo6Dkb/9bOGZxWvVVLsRZbX7AMRPpB2tuqrn6H/e930AG96iaXYvFIFhqGtewBU7Hev+qqNqg/wrHELMykFoWrrUWssEhitW4Eqwj7vlif365NcUaaI9TYingvkdAF0Qh1vUJMgXZjEtPd7/7QIVCbuPy506MX4tElwFdz3xP5iF1FVsGrAXBNKpT0I71u5tQQAMAr66EXYviSY6FmctD07otD5ycSltoiro1LrrSUzvn8HhewLQlKMY0aKBSkVhKGirKHfh71CYWGHCQXXVFxIoeY0YAFYqnbyXktkQzunAVgfvLQkrvXxK4tIW62TslPIweKOhegbqrNxsGEzSZsPTdTK4klRgYJnmQZbH8Yo8efMeUeGlAiuklx3lvD3uoVdh9oZJ8ZLNUE7WDLPQkUwFek4U5Sxamj2VK2XOndBNy8Y1kGASGskqVznZTDK+IWfWSMHIF2Uolab/byOinVSlB1w8wy8+bsZ623Ch3+ZUAZrs7O+SgFQmsS3FR4u1JfRU7TWJHvMo0B3AKYKHStCULzMI2JQ5MK7OEwLxljwcp4gpwhNiuGhIMWKJU59XQbOyTqRORNMeye/WC4hfJ4BQDiy7awefexsXCJbHKud74gKrIJ4jKhTxfRFxpe3R/z5zUd8PT3jP/7uZxg/Et3W5Gu407/zQ0EdAnY/WlEvoMUOcbbx8taUleuxJiAko6mf/EwIPVE7sKAkUYl8n2h5BAAZBAO0CHSoGO8ygihedqSq4y7j//z2t1jLL/E83zcfZQTQEuyhApZgs0XSxElLXwMeK5Yd4/50FExHaXkK28/4Z3UNlh29iLfRjGvHSBbsf6y4vAlYb5mol/fsvU4XYDhWLHeC+S0syWWhouwVeLMihwH1A9kL+aANRdakSB8jE+4EzG/NDlUFZQ1Is7Tz9o95/bcRnhqnJoz0WiER8wpd1+4rutno2vuUjfoVgX5mgu6zOLDyCKDR6B5f9jimEYdpxcP+grVErDICVRCPgWqvmcGAU4xKEFzeJoSiGD9m+swdxtbPNT5mqAjCxfqEYwRu99cUY+sdXu4C5ofAJnSvnlxkkzwp4lkwHBlcDy/aoPmwKsJMRcftyz1Kt9QeMXqYLPla0MZQFf89UWVvjFcG7eGnS0VYTclwFGyFl/xgCFnM5gYYns2n7KwQs9JhlcoWSRITWNFGP9XBgpLIRHhLJY1zMeuj0MUaAAY5W+rb1hqlvUkanVCCJ7tqqrw9gZZSgcvMAPz+gHIYu6BVrUhnjxC0UTaiBUGN5rLpg2KVtlrP8eYZlQINyuQ5SBdLev2y4shWQbShHB7M2oEIuM0BzMgd0IULOQOY1wG1BpQasMSIeU0MTuz9YlU7F9/Jh8h+30thbrkbIEOETBEyjSwiGPLvyKEactgsqQSbQMFULj2HqYAs3PRloZQ8e51JPXH2ApVvWfHXGOx6lx44b4Rsrp7/Nkj2/7+sV3NDysB14T1fyecJOpIiNpbRijX+sWLPefHAb0MFg9/jq83TE3B/nr6NGVWvMzws4XqF9tLTenPfYcPCqBWq5gHu9998SHtSL67g7KwB61lsfaUhWD862r1KrtTIQgQ2Ih4toFSQZXHYIwwKfLT7DbHP4Q1VlAJO4OC2whUPbQwJWoCQiSCwF8/29Qt7QcNtJDC4Ke70Z02ka1kTLvOAckpILkRhqq/b50QGjWCNESGHntRHIbPE59R2Htnac5Gq5h9uIjoxCqrR4GQkA6CpKhdQVflMtCnOfV+UzT69fTXUVoQMpgo0v1y/Rum6D3UaeiG41k8U8wGf31689O/hY6fyLxkVzQdztT18hVHbakeNPCl30cAptoCd1ECba34PzsBKwVDztRVnnFGx9cD1uX81LlvGgu2fbjGIZYVclj5GIp2lZBZEoorxcb1CGtKlQBdpirgAjC7sSbitz8MOOtera/H+9HyTEL96oBqxmh1auX6eGgR6GKGB76f3LpBOFTEZSyvyu4uJXpa9QHeK8bAipYKlRDzNO6wl4int8f3LLcrTALds0aDAc+zepQPnn24SVqcEd+okbJ8FAEE6VwxHJojLrRUEWiHC9wHOZc2m1C0V59OEeR5QSkBZAmQJGF6A4ahIZxYOovXXw5ILD32d0qsBQGKPpL/Cqq3YVmNE2YW+RxU0qm8ZGVc5EwdA1xCJoPULAMmh1QyclhyW3j8YFnRV5YKG7qOyiOZFD/qB9iKMxmDPVVrMF1AZw1iRGqZZcS3+FiiipWLJH5kKw3O1AlOPyaQotS6ciZR5TS5CVZO0fSmdiqG9qTFH3BWg051xRd1uRbaNynh6DBhFjOKsOH85IO+CKf8C03vus+st9QdUgLzTto5Qe0wAZWzoRbVy4Bkv54BaE57CHloF9WWArILHYMn6rmL3zQnDkPHuQNbQU7xp81ec3g9AV4HOE7Iowhyaxs35a17P4bcBw4vpbtwwcZo+ku5bzna+54DyIn0uCZBiRZSK/+WHP8Px/JdYHifIz4ku7n6iAJcXquJFMP4Y2Zdu7UB5x4QrXhTDM4sGl3d85sML5x2k/3l58KJdL6Bi5eLxsVwe+MzCLBieBWUPlJEiWF/eHjHFjL+9vUE5DpD3A/7v/59/B5kD9jugfiVXRYJ4DK0gJpkWR3FWXN4J5nce97DPefrANbLcAcsDGXr5ls4BN79mkr68ESz3VPeOZy8ygsCBcs56gS0uit33AXWkxkkdgcudYHkAwirY/YBejPOzOw0I5+7hy3kgiEd+1/gotGNKwPRBkJeA5YuCeMgou8SCxEYw9w+9/nQk97JAH24otJILaZExQIeR/bKqRHmLqQlXwP7HECcGwSE7Wsq7dul6TyQhaEnuchyxANh9teLNdMbzPOIYAFkF6RgQ5+sNQW0Dcs5/OgfopaDuEvQwIKwV6eN8RTGrU0IZKQfv1bsyBfOaNQ8rq36I++XBJwJpY+mFCdX4pM3jzgWQttVDHrYBEnsltAW4uRLxXlYKepnVg9t2eE9H2UUztjdlv2LiOoH2L8X6bqFWJW70KL9+wfjkyS0TPia5bpbOBLxORF/dvkMHBtgU5DIP3oEHmXykfYEOgnJgoBfMh9itbdQTrD4t+HIELQAKIZJalEIta+ZY7MYmUoQYUKeEfJOQBIhGbw2XDeXMqHIUcEFDs7cIQMj2vEu5TnJrZaLrsuX+ZynARt0axdCkqLxGRyM98LPEQYYAEetfVBYb4iKmskd0ZVlIO881YJZE37lN34iLUkBtI91RjCrkgIoK3UUAESFHyMQ5F56KFRkMMRJSm8URFB8rT3RHW0ctMAC0UpCEfxdLGtH6MrxQIFWbMFRLirbJrCOiW3uhwJ3QPW2xCXoBUFG4VFbkU2hzrVUqTSMnLJbgJvQ+KPDa4mLP2RERf1kyt+0XdGSNKvHSrr9R742+zn6V2LxFWzCvvV2iqco6LXvNkJL6mITtWNROd/e509DlzZ9iSIlfiwdoNv+ZEMT2PP05emIiux3nqr3chsuZOOpJdq2MrdxqrRjbIqHNIywr/30/QQ9MluN5ZSGuDEYB3CS5dtqHQKryukaUS4KcGWCEpRckgvuD+q8F87CtHbnDEBEmE1jzxLMwEW3njtCjE3ZIh2zBe1DUWaxKL8CtFykEsnJPTGe1xFstYPBkw/7cFkdsHtFbNhlSa3u+CTK29pNxaF6d0Qthr0TtPCHz+e0IUFiFnRIXJr9h9cIALW9cJKl7H9aGmEmu3R4oTPRpb/NKsbX9cj9RTQEhCucXiildK+nqsPlqhS1fQ239blgc7hSgu8FE+TL0cuE+7+/f/C41MyrSxzPX+c4tj2BsEwD3m4QiA0G1M5b2AzROfZ5bYaRGIB8CgF07S+lRjKuXC/LVKGR9JSaU8VytuGBF1BJQB0W+DXbuVtzsZ8SgWDILlec4IIaKp+c90iPnQn7IrYDmov41GZXfEVsvzGpPbFrSKwyo01PF8DRjvZ8w31N5dsu68WJXughqAcoNz+y8BjRIXwGZKTjlwkRMVu17rualMC6r3K9rYjLor/Z7YAI4v+HPhqMhwIHshDIK8o2fkXx/GZ2GryyuAr0fz/YAWYU0yBmtCJUu1ayDlDFR1cYCCYXqyq3I6cWoIFhvonkDq6lnC+OVotYCZIVFawdSsTjHhaMSbXLSsWJ4Wkhpfxh5nYZUl11E2QeEhdRiUSa+7tNNex3bN1OAvqXAWlzUClReVLU9oBWUPMHZiKgCGJ+A0a5RFLi8C60tAwD2Pyp27wtefh4p7mXoLgDIiersvt9KBYazWm+pQHeVe/VZULOgKFkv++8iKfK2zz//VcW//pt/xiEtCKK4lIR/Su8ANdBhkSsGW7wQpCp75X+Hit2XZ9QqOJeb7hSy50Sgjg9QToyjcOQA5Rvg8gWT1BQLgijef3eP6bcD4h6Yv8kIx4jdT/SSXm8ZG8cFGF76WcUWRcZC8QxMzxWXGLA+WJuiBMRZkM7GdEhGA9+gvxqYtPPhgYy4B2sN+u0Ow7PF5VGRhoJf3Dzifrjg72+/QH5OmH4KOPyvFCY7f6NY7734yzFLJ+kxTvG+ZWB9UOz+5gnLnLA8jYgvEQ9/B+x/LPjwrwacv6kotxWHr464nEbot3uE1doYf7YgfBywf2JCTXaEoKq5H9jSiSuw/6H30tZBcPlSIX9xwvzjDvf/JWA4Vyw3LK7UgQBFWNsjb2wtP/fHZ2B84d6a9xFhESxvgd1+wWk3sTj23yvJlV1XEeUDtMBwQ+dEiAz0myG8j45twpteCA9YSKt9FRQVocdc5gp/fD5gyQmn4wSxJnQAjabCymOnMVIZ0JqsjTbrwTFSYKugU5WBdtC6kAWDam6yLuPO920elv1DnA0xtAPLA5Bm++PJzqvDdEu/bWjnlh7pgVvR/stCCrSuVjwwFMB7chy1ZTJlH7mIHRJ26FkVrCUBZZsM9oOKyB/gitQ6EE2rcaNGaZdadqldX1NDrf2aHQ3zJLf1IW9onzJnol8xXlFCXV1ZU4TcHDgGS0E6eg94bJVWAGY9YZQjO/DSmYd23vHw8uBVslEw62Z5WDImQppUo+eLABKu6abbZAXovcObz5JCWlSwXNqFv2QFm+1FUEtEVsEyD9AK1EuCzCa2sDpisQlygid6Nk4+pYR7aR0A2Q1AtkCylK527EikV4VNNCgsQAy09nLDeo1MIiXb4WoodDpx7qQzEfSmVGw08e38bmP3ydzerD+gJ3KeIFphpr3D+8CyFSlWK8ZUjqMfNN6T65YJTNC1BTuA3Xfp1i+IZnu1eWYUr9gULKpX9IWBnvvd+v34I6/o91k2c8WKL60AGDbjtP3T3wdcj1cuLdBplkpb9LJU9nRuenO9cCXrtqqEds+OOAPxU9q7J9LbYoVTpo22vRWpa8GY7+GBwTh7voAaBOucqCh5SpBLRDwHS848QUMPbGH/X7m/eitKHQLbSiILp2pJOQyY5iGqQGDwq54k+HdkVrl9X09Hgc7SVCYZQNueXrbJhlXjVxb9XosXyprRbJm85WJCr6z5/rTxKm4Uzxa0aEtU3RdXQl8DvgadwSC5r8nOWNj8l41Jk1+tNd9L2rOTlnj1i1MrxFY+d5Hrn4fQKNhW8u+Foxiu5w88obH9cZquP+91QQyWVNn+39oWDOWPiyUy9ozUWFxhscA/bx5OrYiXgvFFEJaKdOltONLuUdscllxpuRIEtVGmiQY2v+UmWmYxQgZqDrgsA1IqGGJBDIrLmpBzRD0nJJtv8SXa82NM4sUbwHQ0wM+TCgSVxl7wzdCTfQBsW0rSrt8LRGE1xg0Ap1PLHHjkzgGy2ucJEE/dD9P1PVg4qVZc8blpa8DG4mqqRB87RfM5tsQ27wKw7zGKPzfXgWifXQGA5912MwoX6ajV2q8DVgwqO6ParqUXBOy+BUy4dQdIidb36e02FjNVFi3qFMlE2dg5AvhEfdvnsp8pjc22cE/yntw411ZYrYl7uiO4/TnaM4xdK8AXe/VCpTNbVFvxUAXQMaFKj1viCugEqKHBzuJplNuqPbF78iTbzlCzcvPCKMAeU5/nAKBDRRFu8uHMzWL+gg8wvZCSi6j4OO/xuOxwXEYy0h7pi0qdA4UOwHpfOJ4fIlIV0xzRfibaWig7i1mPvKfLFyyqxYUqyHlH9mdDUBV4Pu+gKpCkWO+5HuIzk6e85/xeb4FyIAtTjJmWvc+/AMG0JOZ7Ok6kZ7Fni6u41xFVVbR4ZfogGB+pEr68qzwH5wCVgKCdgYbC8/Bv33+NFAvW5wlpYVFi/kKuPNy5LyiiFWelohU2p0cyjtIx4nIeUeaIcKL3fE20FKLQ3XYCo+VKw5MAOpLS/NFaFKwI4H626aRN96cJ59l5zBQhQAfF6WeCOMe+V/g8L73tLGSLqxWbdejxLO85ngOOPx2QzqaD0GuWf/D1p1sI3d8giEmit4NNSWcCGByagEydBkgpnYZ0mGgvM0bb2BXDMTexCCmCPAeEvRkgr9xUwoXWQOHjHkveYyjSDnlNCk3c+IYj7U7y3tFLQJQbbJhj2yQCgDJFSAmIZb2q5KqAwa5ZFJSJvlXeAO+bvaPGHli0l1qCDUGqlZvcXCjgtBFP0h39hJsnYGWA1JInpwhaoBTPdrAaEhzmAlkr6hiRb0KjmxJhtcVeYZ5VfdOaPpr9gU3WkIHxxSiGVoX1IEkFhhiB13+ZIfuBQlcDJfRJxWUgmXcJGhKGU8X4fmECoeiBSwB0iCi71BHzavTNEIiGnWcWR24PrbdHhkTK3xBJITpM/L2XM4YPz6hvbpHf7Bq6LEUhz4sdVhXxwp6r9DhDU8D85R5lEoxPGfG4IpxWyG6CpM1z9AQ7JeB8hh5PTHoPBybhJiYkMZC674ljVYoGeQIHs1tIzligvVW8KJJZVJQ9E9wSFSUGyNNAZoBXlzN7HoLTEKvNMaMWQ0PvWQWr9gAghvZRnChwLm2DTmXgS4qWwoU+6oX9HWp9Lxp6AsJKpSDOisMPbANITzNF5Uq9FmIy9BKlXPdK+o834ktcU4EFssjA2SnV0E3ALvzukBXDqRd0PEDPC3fcdALRtw2Fc3gphnDVlsQ2z2cfk4HoOkolUpkiqiEVpMQD2A8oiaJ26oWp5tNaQEVOS7pUmzUYANonlcqiyTbpf0V/JT07fjpe1ah0Tl3eJiaqCOeMyUTf6mGABqGo3loRLosxETbfNQ7QwQqXcWMB9XzitYeuzCl+PZ6gp8hntBXqs6rtdYDLtR8vrPwXGbFGRXqM7QB1uq1TJVlJ3gRqFY0SD5HWqxlnQEURdNMn6M9qZVHCqYuutaCBByEZOAE6szLOpIMFlDizshzcA7No8/8MS0E4zn3e2PMCBHKeabsEgL37gUm2UXCJcivk6cyEat9baLTtEVxDw5nMjzJRfGZLV40WHAcrrKZZkS52RlnRUtbakB5vgWlU4woyr3zqbIW6AGMrKCgIVruWxlUbUkXdTSi3E6CKGAITS1/zVwUdO9eWtRWR9PbAfdyt84bUCi6NTWRFUR2DCZtVuybF8Mxxiuaj7ElfPFFEUnLXWJB5wfDjiRY6uXI8QiDi633DVnSSQIp2eDpBY0Cd3nAdLRQa0zSg7K4F8KQyWdAYcH7aIU4FX759xi5lfHi8Qf0wIh0D0olzevy4oR+Ce2s6m3DYAz8znbnvxrP29pAAQAVpMdu/KMi3A8rorTBOrbczZuSzDsWQGdPbGD8IhuceVMaF8y0UxXJLJtjwgobQDWfTELFWkXihkKd48SSAaLvNIRUgLBXDC317j9+wTz+daE/khfY2/wwUCCYq5AXLMnIvGJ8Ew0sPhptyrFC0NFfBrlSMHzfnD4Bgye56N+H8BcU1pyeu2Ty5eFmvqK2aIJkUVfcFBoCyC7i8jTbfOP9271faComdXQrEs6McnI9xXhCWjHoYcf5mT9qlFQOGEwuSAJBvKdi33lgSNgDFzrJW3C5EnFkc4M/W+xFl00uejopyIO07zrbnFsX46J/BZz6+kObuRZ0yCp7+SrA+VAQr9qnQNofCjpXxwU1mD/fjiN1vE/JB8cW/+x6/uH3E/++f/xz5dztoUnz74R55jcD3E+JFcPOeTIHlgQhdvq1498uPGGLF9/ULSAkoo0L3FTJUlMJEutwVzClg/13A4VvF/Fbw+C8rQgbe/XvB7kPB8ZuI5SBkKw583scPe5zShLRbMf7qguPvbnD/n9g/evmCfcnllv3F8TGRIRPREuKbfxbsPrL/9OUXHMvb3/Bn85uecInV7MKifX0CuP1tweE3Jzz+q1t8938jOyE+R/P5tr7XpJA5AJeAj99+AanAZIy59b5i/mWmYNULBaXqjp8TfuK5mY6Km+8K4lIptJorzl/e4vLlhHSh1SMFqBSXt2FjHSqolfPVE9aH/1IxPJdOs99HPP+Ccf6bv1ux+/aE5as9jj8bWHgw+zYvAEsGyjkCU8Hp366oa8Tun0aMj7zfdJZWPBF4DGvzfFRjG5hV6w17dsf3AfG7YOPFtpA/5vWnWwh5ULVFKoB+iP0+u5BG0TOkxiqoUpl0SgHEe6I86zd/JJeWJp2tV7nEKiHbDa/5Onm1AbAqgA+yWK+lQtQEgoCerG/zHKP5EeGStsEAaFC9B0VXt+z0MPt9cSGuLar1yRhtbmqL4FyhNADEKKdeCfxcM7ZV+mE0HRek8qRcCsxwvkuntwT3c9cHdORmgzj4dVG3QGyRS/uu9vMtOgW0YkNHs+ilSB/RCko9KgPUENhnYd/dhgyhB19bCqoj0Jset4aSZyYekj3po6WVeJIiWyQ3bJ7D5v9rBa78P37Pa4vMbemwlZXY4GhugW18SvEPn2vLNath29foIjQ1oglqbKlloTDZD4XCBoAlIjV8co0ugCHCP0OWK6S49XUZWuRUnDSzgNBQE6cmWtLWezh+z8a0TfA+9x67NnXF0spnGFChGQCI/sXFknuTro9hk6ysROLi6n+3wMXX+cbT9Oq6gN7j6X60PvCiV/O/7R9BP6Vs+muL5G4Vrz/nu/wHXp/YFimDWSKX/E4vmolY4K5iaHUh1b9WaKmf+fDNGvUkeruuHFEL/ee9r7sn6QJpPYWNKaAw1owgqKIuQlaDo5DFiyh97/Q+VB43AohSuMYTPdaOSf/PtdlcfDL+hoCojxcscc49mWUlmb/joiJOAXZUVWz+YfsngCsLnKtxDE24rv375/YEH1sf123/bAaCKVu6/YYfUH7m8azc7BPVEtz8ag7a97TnZ+ixj1FDcv0oips9/NVnvB5j7xP85H3OEPB9YMvi8Hv2h+z/5vPM4wy71vZdmzXgxeVmUejiWpl70ZW/tcUbWu3a/Tx5vf4cyd08pyvREzvf3JKuiSBp36exBBQAp2VAVUFZyMbxAqUj8a23VjzZ1OaIoJGMH49/rlqxtPfKetHRk6G2N3ly1Ng3rIIy6WHxO12chigbKv7r54g+Bqp9v2tzYVMMUcCt2rBVeddOweZa1+vvEf6Px1ku7FmjUjUdaMydNi8qGvJ89TnR5psf15t585rp1n5HevJckyAok1YKg9nz9rWjgNS6UU+unbGg2gCTxsrYrHVHrNzK0NvHts9sK6h2fQP2PL0tzeI2p7D7KxTyJFoxwPdgjx/EwRC0JMXpvyGL0dC3+wnggmfaloCiuA1WAHYp42G4YBgK5pEb/jon6BwxnmzOVaCJRQr32xgUKVToVNjPbvZWioC8icU0aUM0a4Kdwb7++r147ysqgDlA14ASFTWZirX6HBRS4rP3RPczoo399plEm0++xm0caiStGUCn9Nvvu3irCiCLANGouaswmfdea0Ef87zZRwWQWKE12P4uQLbL8jkfmGySWZgaYyBu9C0kw9hA2oAvWQXLJaFeutCXr3EIBeKoBSFtb4KxWl3dv42PMYykCOQSWTTYZT+e2bPrAn3KvW0rkudtCBotT/P3ij2r1Z7tHxFy++tPtxB6OUNu2B9D0y7hQl9WivcYUiDLADHejU725xA7jc4GwX1zvUrlPkqAYL3ljKGCWKepVOsjkMxqJEVnSCvw/tltT9rlC/ZftEE4A4cfbNLNlHfHRkmPAR6QTgVxEVLZHG1WRyf6Jg4xtOhc4f0gUjttKsy5qwUPRKgoHEN6JL9T2+at44BPXmpB/tkEfcYBdbS+rjGYMTSgUbF7FNQXHlzpUinTb5ZNLnARZ8X4RKQiHXNDbnk/cmXbAgD5YQ/c74jCg89hOLK6V0ZD3FdSVyWzdxciCMeFQUfqKFG8XLj5GupXbyfUaYf4MiOY6I5cFiJLN/addtgEr8JvlRCXFfEp2mLh96z3Y7OGiGdXNyUSlc4FOldaSs0rn8fdHrVuVtJG7ERSBPa7zXMojcoMAJozUd+tMm+karAHex5cSlZErbT4sAAD1vtTnzmOPfklbdKDV8DoO1YNrlerWdqmmY8B40iEfXzyYD1Z4lN6D0/lIgynlflWGSE1WmWOm2K+4Zr1nkQPFEJWDC9rU5d1ereLLEGkU3+3iZ1Itw7yV+z7iMwr54V7DafY0cVSgRAgY4QmnrrDMTREhUGfJSuFzypdFOlYEEpFPK69Z1Odxlmvkw6jc9e9rS+BIcw94AlLaT2wYoly7wm1ANuT/qpEbbcB/jhQgMfQsF7w0auxcqusbYFQx0BRnmyJ7JKvgvZG8QcaSi1LJs35dEF9foGWSx/7eaG4iwgtg+w56JCoCmnBmxeiINILSF60cv9eAAgBQbUVWIaTzZnEviqNctVP6olmOmsLrCiGIs3zUTLHvuyk7TNSgHQJSGfucXgEn4nPxwomi0FJZVZDKgVUPF2IDA/HYBVlXlM6s3DTC0YV8WnhmvGkq2hrxWnnwmwsnBghtzfQFFEPZrtyWakEHUKnxhtyfkUBF230LpSK4ZjpkWhrqIzB+kl7cNto1NWKlVmbfRrHLCFumQImW1puRu7RlvS1wqPQaqkJGPnn7wY0q6TNepHK3n/aza29r9xF+EIgYrzys53NJecV4XThmppcaZIvHSIp0EBDyRxB1MgEKhSz5WuFAyCeFshl7QHb9jN3E8rNiDqlKyp/MATXtSOqiw3FAOjB9iUgXhhZln1C2VPRuMYeWPtziGdBWCNqinh5fsBLUkSzN4wXacktBw8toZsfgNPPQLXXfYUGRT4FawsRY6tpQ3eBiJJDL6RXRTpx3q4HE8XKiukRliApVBTDi7R4JWROh4bwKK+Jqr2w3nUmld7nLsESjCmi7CLiWpEeyWqoYzSbrtjWkwfDhx/IokgnUsXzLmK578r/REbZU+oBr0YG1RqA4VmNjlwbkhpnOxN35jAhwHI/8H7zJrEUnpXb9gOrmzV6to4gdRzVeuGHzdjyc5yaPL3P7Qzw/bBMke1TzxegVNSbHXSKKIcBejuyv9toynXg3IkLkWTxolRTaOfeOB4ri9kDn3k6ErXz8R1eMoafTpB1bvM8nStWAHVSxLUncN7msd7wuSwPgvmNYnwSvP3bgjhXpBMTmWDif+lMaxzaWwnWSGgkC4Cx0uZposDat+d7xFiB2wxcIsJ3E+JCoSspwPIWON0oEHqc+fiyxzhmfPnNE9IvCn737VuMvxnsegdoVKwPFTpVXP4MWN5y/Uw/RUimDU2+iRQ+s+dJEMyp94L6MWJJE9JqwkgLsP8d534+kILusRYmtAJJ3gNLJrqbzhy/+R3jZy8OLG9oyyQVCEYf9tfly4gf/8cbIsD/2M8xgJ+z3lmRYKjAAKwGwgX3Ai6C8OOIsAim97zvGgXejpUP7AN++utgRf0IqWTgHb7jfQ5Hnr2Xd2SlIsCozgK837PAYfZlx28ijn8WDaVFT8AVeP+vE8Jf3yEfKFYWF9oGcQyZT6QzMP491esvf6FAFex/UNx+W/D0y0T0fFLUmwJUQXqMZOva/dSRqsqeDIdFjEloMcIFwCZs+UOvPx3JdbrbtvoK9ATXfTEN9r5SJd1WaP2l/cD2ynRsAiSwBb9BtQrvQgMgwp68aFQBetiCSpkCBg1mNt3N1PmldRBDdQW9mV/9kgjeLYV0AUcnweupSRBj6DYUlqTH2ZJcQ4vCaoGuB8B26Pt4eD8dlU/BD3NkxF6tEmjBuRgVTAOFq6SEJkVfBYAKYqG4S1iUCZ1V7cvAzbpGIn/xUpo4CfyRiveqSKvQ0q7oGkntyLL1PYcN0u2UOLFkolYoLKDT2ujrjvprDLQsssTffyYwxNIEwfheVpK3vWTeL+yCDxVcuHlnisA+v5rXaOVccgTSig76Gun0VwhAsAR4a7niwaMFqK1XcYNIvEYKPCF09EoDeyycErytJNLLeBOsSd/onK2wpcj0gEGQM6eZRrFWOYGkcMW0cKRUqo1drghrIC3TAn0AFA1YauuB1MDgXyww3JR42xg7U0ONrvlZpND3jtZ7Ky2Abt7MwvVJtKiAkvwCILAVIKspWoa+XoC21uNcES+5URSvvBA3AXtLKO3aSVM0AScLsJvAWlXgVc9W70m0ANvnhf2b+s/8/lNsqF37/fZgNuu/vrankY6ceqKeCxV9t33hdn+kExaz28nQNUOvVMQryLciM0I3vZf6ajk05Da8Huve56yoFL6xNef7ea0bKy8PFAwh8DaQxsiB7VODFT+BRmNSO6g9YGBgQQVOrR1lEt0UDCpw1fusQFAFcmVQJIIyRUtyC8KF4ll1iqR5zyuLlE7Xlu15cL0nMimIV4r4pE7nPkf897af49dcfT4CslbELG1OyS61NSkuzHW9vfTzp1abE4ZWNPGyzfxOAQ1xN+TYE0kWfu1ZRWFrjVcg2pf1a0PR1q7QiiE+X2o/Y108Ls42P2GFGy+W2+d6wYZ/39ygP9ONzgWfsTaLwE+eC9BaXap5y2oSQ3wYR2ixPcn77VVaou3z29thPEnxIvoWAQ0ZwCqu5cWxX4keiY3nFq0BepCX70hH1IFvqpXXUzOa5yX91gUhejyuLYkJRVti6We8qx03B4ZZ0REpxVWPnl9WobCSWxldsbLsLxRN4v+PplLtqsHNDglo3x2NCh3PLPqrCKRuIVWYkrnVYQYiZaKbgljhXpJO3Nfi4vMlsitIiGy1Hl/VDSJlfbJXwoP2hyFFWtEAmGLPLxgLqCFLxYtkpc0zDTYWq7S9VpQ6DYxtqGrtS6d937bdpPbn6MirI97uEhFWAifc/0mflzlD1k7Lb78jm6Vqc04FzT1hvQHWtwVSrXXQ2TQWd3PfVgynijKycCNZaHmTWbiSmxUxVZQacFqtLWuoKJfIgsTc+7zLRI9mIpK8sJIjVlF8ffeCr/Yv+P7He6Tz2M6EmgTrnQBRobtCiuwxYnh0Gi5a+4kvJC9KOHrMZIn3XEeFFMFwskKOf4bH8BbyqMKshYwVZnGZf19c+j3l+wLJgmge046yloOi7guG9wn779GZGwFYymbNBdhEs/PTxlgKEFdaDqUTrvq+y16Q90DZKdZ3GRiUY1oFu98lpPfGAlq1iRfWSY0du0kabf5Xa+2k3ZAi32zGsAjKxDfWkT93z9zWmjnQpWB8tljFNJTixdZqBXRQ1Kki3a5QFdRLsHjPHt0GFfd9owGVGcb42qzdP/D6b+OTq9oSBDWqhnjglQuT3SBUExXpiG+u5i0/9iRKfIKZ7c5c2ZQsoVXunXLThJJmYHzmAHn/yVUSDCYPatQG9wVLR7E+BODyJiKurBAPp0zKponQhKXwQDFkxQ9bDwYoI+9CR74QtFWFPZDqdFy0yj979jwAsIM/CgBDSKoivszAmqHTCN0PDMYMDWLgNMArzGEpiGei0Xo7AKIQV3auPLCkKHY/LVCxXjYXlTDhCBeManz8KbLCZYckKlULWwJuG0uT6/dYchRTUVNgZUBfbsZGIxMFK+kH2xA3SofszwUDpE3AL2th/j9Yb6TaOIkA+4mo2JQYkGwCm/HDgsG8mMsUmeicV7goDFSJpJhVBS4ZUl7xzkvBa0qrDMPV9zgSr56YVcDVl0WEfZXuG6xAiALVShn6NRgjoB+unCOu9mjBv9HEOFe42a13VrxJ7GloNEObTzVxcxzOAZi5TtVUXMULCeYxSrsjQbhktD5q67MaMpkWuklKGwvDaeCNqmzvKRXB+1DDBtHug4YtpazR1IHmRdletQJLJaIbUw98nRpWPJizMfdAwQ75K2qcF5ZaISG2pLN64SkFIATk2xHrXWwBIw85jsP0KFSwXCuJ64YcMrHSnnt4UJimzd/BQoAlM41+6VFxqSykvBJc6wkb0UlYAdFtXvy6gQq4dYqpMHth7LO+zjEA00hBt8I+909+LgKgK+nDkLf2uUNq+gJyWSGxIF6GNldCJtK+VgtILhacJCYLLrLUaJXw3lw0jYUyWtU4KvKehcF1FiwLe73SORFtUyCsxYJonxPKPN77rwNaMU3AtRcERnVkgi+F/c1O4bqyihIh/d//7gm1bua5nXcAoDFyr3qF9GsRyBA7wrturg3oivyR+1goTMopJMM2Dfebb8mqBwJixb2FRQvfMzn/rU9/VtQpIu+smGN7exkd1WYhVFMg6qsBaqCrnAMTdxHIhWJbTVPCYwKlEilZSrIZL46JHnad1eTPSV21WCHQNt4aBLEKZKnt3Gg0af+9EIDd+Kk2AIByGCCTCTRtxAidjlf2ntDafptIV3WUW9ZKR4PEuGM4cx/2RLBMAjmgUYE1EeWpERjO0tCghlSYuFqwGlNxFEmkMTrqrqLu+Pw10hFheEFjizU7rLn0AlIKPSDeJACO1Pp+6HFSWmrrdS07JmJp7kk97X0EedcZPlIUOgXkPb1fEchQ4vw0xBZAmKk6DAD5lsyqfJOgt0TTCWJ4OxWaFZSutPfS2PeMuBHx5D14cZP/ns6KsgvIE1lG0ZkOGUBUIElju0mpti/1+POqULwZn2C6HkBAFBZ0iKSGFks5Vb6OAfnLO0ipqPtEr0/xJFUxPpGdFG4DyiBd4yIJtSCCYHqqGI/Sxj8URXza0MU9ThBB2UXoV7coawL+zp5zAfY/she6jop84D2nsxc3fH+DgTxkQDLO22h/2N+XWzKlaIkpiB8Swsq+1umvn5BixeNxjw9VUEpoxhN1IiPh/HPGEbIIwilAJ4XesJpWngYUGfBbAZ7nCfWS4HZFdeTYpLNAz4MvVdRBcfpVZjz/FIl4PwvSkajfekcq8nrP9b37gUJK661gftsLIBqA+UGw3qG3rYgJEEZgvVGst0yS48IEcDUF/uFZEFcmsuPbC9ZLgs4jwllw+09EUI8/D7h8ybaz9Y7zMM7aKLjpJNAZ0GO6iknSi2xaaDgX8w2f1fhENkM6K8YIPtuaWCA7VNK6E++1jOxjJajFuCRemLjWoSf3Zcc1MDyaBWrl/TehL2Wxmfo9Csz8t+V+s0YWFqCXN3w+pF8LXn4luHw1Yr0BUAVhCchPxle+y6j3gLxEpFMgW8aeQZms0GUFl3QC7YUu/52SXDgd0em3XpGeXJyli06QoiUtuPPKv3t5AmjBs/dthVkRTPGvfghXlBevSIWVlRgqjm0rfaxW8EtgfbnOf1eEHCFP/E4+JKf4ksIaLwBqMc9JhWpsPSiN4rjy3upCkQwPGpoYTLvOzT1bMMpAxiiEY0KrkjtCk3hYYM2QlxMwJArcbJKslsyZLY9m0rQo6MSAiRW/fshLUcTjTJTzMJL+24INQd0HQ0i4A9REr10pimTGaVuOPmDVn4l/YbWOAmAqghiUgZwAEN5nnAuwFtr+HPjs/cCN50xxnFo/9R01WmgNgf6f6oG/FQcqmq1Rp9Ap0tMFUhT5YYf1biD6s6ycn5eZQdHdDXTvQiQrpPSKKNFoC7KqTc4YgWHgc94qinufrj8nZzuY8q4r23ZULlCw6VwQbhPyLkJDr+S6hQPnj32F/R9/BvmGQgvNvy6AfVFV2thoEJSPYhuXzU/7mRRcobosNGTo2pPRJooGoO5G2p4ILEOx9eB2M17wsnHR05kJ2e0BNJa0BNgD/ZboCp/JslKY57Dr7wO4FnJhnjpeb1+OmLp3aLvmNk6bz2n3iZ6IRFixKdAuxX5HAz2IV7Pb8B6mfLA+6BIQ1ohoDA4JthYLINZn6GqsV/TszyG/dq2N6qTa6e++Fhwh9+flYw/05CU6lbr3ItZhYIABdIbN65df3zgApwv0dLLvZIuADAOTFnuuzR8dgFxmtqncHvhsVrOoCQFx3rV9PawBYcfCXlOzBY3nMRGVjSvvq6FHs1pwwWJOGejnSFVHC5xMPbaMgv1Plhiu1gISLKPY2AuFleuSSRt6YUKMrVOlo4PWdwcrMImPv61hNfRK1tqTk20xR9ga4AmxIpA2Xs3Sa82QGChcFtAp34kMIQBNDZsiXAEw9EoyLUck16bK6lZB27kvpkHgxRu1eQKwwBgsccv763lO71BeU1iFCFcK1rPGz45tr629SGXiVM1n9DNMFt6P3WcY2npDEPqxe9LaND4AQFkcLEJK8nkBhoS6t+DX2SRRoDHRBcDEHP2VbxKiCf2FbIlhsKJvlOa/LdkYWTA7Gu17N0CaKABS5GHJgALxgVllyMBw0t4+kdhWFc8w9Vguw62t11bAhT2FAoUCuwpJFQWJxQKDclrx2u4jXAgqlInsEClAEO0+rJ6oVxhgoC2WinNBPJK5cBlGFsAXCmaWKSAP0RJdov6pdAGqvPNey4iQFeNHRVz7Zjy8rEjffgBiQB3foY4D8p5CaiErogWt1caKImocBGchQbu3JgBzgaitkKuBVPKwqnnwhisKv49XGXuC6K4PoaAxSgB0VFDtHLUzigWR2mMfS66XO95LOiuGl0LU7GFsSUvb6xRU9D6yV1FlhOxYjPA2mDJyrxyfuS7zPqLsTFDVrIcAjxd5HWUKyPuIvFURV2D/E9sHTl8nPL+RlsR1XQ9D8A0tW2+kFdPDLIimZ0Fa7LWw2v4Hxf6nig8Scfd/mhFDxbdPe+glAkkhsQJBUSair9/86j0Ow4q//4evkX4YkCdFOmSUJSJ8HCEFuKSJ1PvFBFQHxXrHe5reExX21/wOuP+zZwRRfJR7Csl9AKZHFrzLTlACKCoVFfHXCbffZpy+SrT5Ud5XjUwe53eVyZxZVbng5voFUG4LP/9ZGmrLeRohKqj7gi8fXvA+3GCJI6QI7n5NkSbIXSvCrAdbe9b77kgq/27zzlghw5HJaJk49pp4TooC40cTIzTG5HpDteayZxxTDpXv31NAS355AkRRXkZgCZA1IoJroeyskHC/QqIiHXcYjtpifQcTXcVbLL4M4BrJN5zXwwvp7fO9ony9QDN7c6HA5c8yEBVyCYjnwELHElFHRfzmhJv9go/1FnoOthd1NwGNnKMUT1OMLxVl63v+B15/epILdFrS1ibIVYM/YxvQRFy2B55Jm/uBGGfw0LeKG9UGuVF71aFvXmjUNlfwrAMr/tVUKAGY8rK2zansFMu9mOFxD4hbJdzk53WIRGMMnWPCEE24aENTeU2p2ia2Vj2vQ2y9YooK0d7LxQ3ZaFfeXF4tOdpNG2sg6Ulc4SB4cNbogyLt8AulV7sbDUbEFpKiKWcCVkEx5HplstIEB9EP4tKa0Yls1UTaBGCHk6kAsx8ZSNXRZG2fBUPsPZn24FMc8fPZ6TRMtYS/VFJtdwku5IUK6BStd0pb0u5IJL0pFWHOmFajqnp13/trRcxqwihGGxqnxNAodrDE9IpmK9JR0ddWL9u/FwbGwZ553DxPL2p4wcYTWvd0dYuCLhZBpVo/3H0NaFRDgEBEeY3tksuGlu/BukYw2G5zwFDY0oNivEJUxZIEVVpQNCrua4TW3x82N+QJbXy1L/ivJVrXNOXW7RialRQCg3wBxRiYRGxEPrZIZ7sMo6flek1v38x9fhc61W4gu6PsGMTVZAyFAOvvglGAOK7Rv1uEiZXT/zx53M6L7b1tVGoBQD0gE2PFROuBjZv5tRlTyV00T0WaTyiMvgygFcealc3nXpYgqSHvstv15+8FzCCQUFu/chvdIfX5r5v54EW4XFlTsAQhRcXm4fDaai+SNRsVBTAKK9BOaQqkXOnQ9xMXaAvF5vkUEC9koAgqx8LQyzZO/jw8wYX9aT3OLSneXuOmIOGFos8lb1cobhsk7fPffqZBKErlQbAzPWrlubMRzdteg2TlPPFl5YUrC9y3cwJA/8zIoAzWa6oiqCLAAJR9bPoSTXxntAB3JwiZcy7On7kn//+ekNp8dyVpqDKx9zHZzqfCPV5TaCriXNuGWvn55WNZbO74HPOCc7sGdJZOKdYfvLZLjqeMuK+NxussCxefatZ5uRcLGgXf1rfvwX1O+EAzIBxemEQ6yyVeLHA2r+Vq4jft+dmZfP0fKcsQQFJFTBXZqYyRKA09TwNi4liFpXZmnAXAotbnXhUNpQeuzmMG+wLZs8AX3R9X0calIb+2Ppkk+DnOgH14zo1eWPYJbg9ZU4De38B9vVk46UKdzshoPrV2rVt0NRSF6vVaq0PoicF2jWTrua2WOIPOGjWxcFPMs3M11N6tzfoHADkQpRuOhchbrq0Iw19Cmx+hwEQQcd3K5e+DNvo2EKAXa017/VZbd6hcsyFXhByghl73+LTaOhfGtoHnUNgkuadvIvQSkS61UcYBNIG6PHAMwgqMH2Kj7Fbzoq0RmB7pCV2joNrc8QLAekuWpSjw/d99wWRE7RwaMuJQ4dbGiIr3Tzf4GBQoLMoDQD5RF6B+bb3EVbCeByAolgdj48z8jjJ2j1YXjT1f6L8TZvpm1wFY7hjfjI9goSZHetoG4PRVwvxGUPaM5esAiPXtpqP0vc2LHKBtTlxI0SYQIzj8OhnybgioCp7OO8zngSj3DKy3EfL1nr3PA+i57v26sina7mBaE753b+I5+7e4kNTlYXHZC84xdOaq0i2lHoHljp+Z94q8V+hUEYrdTA4mstXpxoCxSd4PQCUS3qzobK4MRwMQCtdOs92KTKJV0IAWjcpCh81PycBo/slltDMlkl0bFsH6cYePx5FiVWGzBsRigkxkeXzcaMG8XmO/5/VHJ7nzPGOee0P709MTAA+oCjAvQNzRJsipSqo86Kxi31SY27dbX2cIXazCqUdrQBRBvhlQ9xFhUUy5oo6CswsrWZXSabXBJoKG/z9vf9I0S5JlB2LnqqqZufs3vSkih8ihsrIK1SwIIGgAXJAUobAX/A/8HdhhiRV+BxfsXfMnkCBEKBSgQTS7ge4CUJU1ZGVmjG/4Jnc3M1W9XJx7Vc1fRBZKJCHtIi9evG9wN1PT4d5zzj1XaSN+iwtkrk4VSD3wzDcV+cC2EYffyEbaDCaGc2ZiehgAdbkag4Q6JRpILQJ32rsIylW7LNdNgvaJUtlTIfK9cZKsY6Khzlp6TzY/VIcIHQ/djj8GlD2DUZcyezsKd39l8Tld5C5aFhlTQNMVT0pLD/6qIjnra3W/8bhisOvIV4MhhgHrFVmTOhmzYvINdwIeH+2gt4O2ybd9iEwml44WfHicb/VhYiwtx8/qKI9n6PkMSRFyNfIQONEsKr+YkA+RBmGnbIypSbemiBoE6Zsn4P0DD6nEVkTlxTV0CIiPZ+jzE2qhzC7XDZPr7WyATVIruHRLFTOZGjuTAXANeFDhbXLmhfJl7/d7mFAOA9KpNNT34iVAPBUMDws0BuSrhDoENrDfc6Nh3zHlHB/6QNfMmocaeXCJoXNxNmDF0f1qAap/trWoQYrQ3XSR0HvfSYlk5GQbuPt4YJNARlcL2GfE2H/PE2gPjscBdT9eJB5Nkm6MGQNHQu9ivfTojl0gKWwM0QxA8RjZWl8hBOh+hDNc24RcQTlmjYGSvUijtuWOm3vZ23S1w6qOQN7xsHHHTe/XSvSFoE27T98bN3OrTsO39kdvNeMMYFuzzkoFTgxXhAgAVJNcr7nvwa4+2Bhe1aAodUGVjIyyuZbI3z1lypav9kCK7fpaj9VtYuPjtpsugjMCe67o4Z7X9vu5ICxm5OXY0S5S5ulBdKGaRIoiS2zBMmDJ13WBjAW6RNb9PnurKLYRqUkQZyuzMKabHyQcBpVeEvvR/cjqLKS2xFCH2GXmmwReY9yoIdABx+3YbP7dav9j4N7gdc8AATbVBrRh0I1ngwM3NM5CMTY6CltsGTsLu0ZXGfl51wzHUmwKoJpCT9aEUsX5bnOOCZrZD/8dMET2zZa8BZA2v2IqDt0TmPVa3HBaIc8n2+92DfTVGIDF2hohoVpZQFgAQYUslhzLpjTFWWkAzcn2vPZ/A5DzgjqfUNYFWFfk2imgdD8jYKSCzMBXDTY/BawZ3aifgJ7M1JFnidfjStXWb96T3vGpNm+FOhgr98CgdnxQpCPYh3RAC6Z7Cw1jVZIluEMFoiKNGcNQkM+J+04ikxVW28+NCW0tlCyBjcbsju/OCB+eoYcJ+W5PAmHoJl4AUKeAsqfKbHhgS6BySGxJpGQgm0x5ozwJS8VYFOlcMHz1BAA4f3aL9SbRB2GuqFPE/P1rbP0MHATPO6FMNgOHbzLiufLaoo+LPdOCb4FOZecxGBqAD6gRI0xK857J7fllaH1WpZih0EsG6OwxKkhP3Efo6AzoWXHz1xnpYUa5Hk3O3wEKr4cnWE+Gu0xGWDimY+ViZWRLoJiUsswtsLZZcwzgTYZ+ykgApEY0fxM1xdvC0rSKihIrZEyQ3OP0+z9U1LcBu7fS2v+1sr4CrNccj3QEdm8VZRLML1lf6iZP8pcD9l8DgLInrichkTJl/RSY3gGf/T+BMgZ8+MOA5VZRrxWHw4xSA/IuYF0S8ucH9mO+Lqi3GZgD4vsB5S7jH/+dv8JNmvEv/uwPga8m1OuC9MMjlqcRu1+S5Z3fVNR9gSwBYSazuX7YAQqMz6xZLTvgtBeM74HbXzKv8Od//J7g/ucESPNNQTi5eZ/a2cH7c1df3/d233B+rAcyvuMD8OJPF0AEX/3XA86f8vk93++Bh4TpPRnN4ycBxzcjlhdMAFPm+gesHaPJntcbAofpyJr98Yw2d5pc+GhlB0fOy/NrQTmgzcPdW8Gn/wPLi85v9shXAn294OWrJ5yXAceHHbAGtmBdCYysVpsbrN738IVYizJLJi0JjTNl73FWa2nF9ejmZXkP6ASsN7WrVZ6oNqE8XvC9f7Ni/1cf8PhfvcL9zyLqyN8DgPED97T1mjXATJ4tJzHFwf6biqvfLMh7mtSVj9Gh3/L6Wye5//yf/3P8s3/2z771dZeqyEeo/pbF2rZv2bbWaBImMxW6CPAchc4mkYp9k2NvWkcVOorBHwDcDMZNFLaW7BC7Bs8xNfTNyv9UuxYP3J0VdFmg4lsBHj9o87XtnrVB1i5qALf3W2o7nLuNOQNktYQAwGX9UUOgbZxjZMDjwY6h/VL6gfQt1qGxaoAVSPckwutPDaRQQ1Qh8u1D2UyseP1McLo9vEl6Vrt+v287INphadJaZyOa5LsqUCxYHgmi6JAaqODBf2tXBLTg1NunONv3nS//TAC/eP+v8YuHf/Xtn0mxJ7mbMdo2Km/J73fNjU3wuR17qQq1RKiBNSudL/13fM40x0vtwWWrOzc1A+euMOgPaAtjuz7aM+QwtwCb6P/fYuOwIF5UKcn1698E/9+qu/W5tQ32t+zPdlzFF+pHn7kdzu3vap/jNM+qvUwB+FbiyIB289YbBnQr7WYPSfZqK1OvDanWe89t/JvhXIS5e4FrBsYGOhPre5jGi/vRIbLGEQBif8YKuy5bs83gyVlioD9Hn3fbP+3++W83kZIY8Iv7/x6/ePzX3360dq1Aatd98Rzts5up0/Zz2t5izzAIYBJtUTPbqgJYLVtYa2fNnSXafpSBhLywvje3eV4EWoLt0ba9f7z02r69udYNi/it8dqu03YGsO5ZAy5Mky4Tz+9I+p2Z/fjln70ZvwaQ+ng3AOw71mPtZwPHFXDTJkS0vb/tfQ7ENXAuwJVHzeF1FAPBpBs1AmhmH/7/gewJz+7N2RICdAIw93toLXkCehzgJlTtGfT1Rtd56yO8mQhuNved+7ev7S1A184XxS8e/s13znM393EFWZN01362Nkfm7Z7u12wsQ4sNbA62R1zZqsyNXgCLWyqaRFisVYg6qGlLx/ugblleKHtZFkuoNAASeNZW7YyKfzaAi/Ow7b3ee9hAWTckaq26LBYIHjeYCeW3XoL+jPwv/zmPF5KphLbhhqCpH/Sjub1tUdPWa3NnQksat54U7RU352VEd3P2aw0w00rGK/4qO0XZccKEHKAFfSw3x5CTGNWM0ni/vOGapM2hLk0G2UHY3iME1JrRZ2RM1GqdfU/fStCrx0d97CQI4ABDQAN9/vzzf4k//+JffusxaTJ5bNm406tdg6CNR1g2n1fYdlAHhewKNA2tfMFd7pvMG30ttHpvMxcsVdheCECtLP8IxRjvOTDeKxYvJsVVWnCVZoSgxOWiIqWCdahmEoWuUqtMzKoCGMG1ZB1X6gjUyHI5b4mlFk/q5pn6meIxKokyfjNY3W0+8Odr8gdgzKatDwSuaybc/BOKNCZ2215HzGzKgdy23rN8SwpczerFv77dc6olgA4Qt9uJ9JvhnASfX1DUGqDK561RUcfKeRQAtS4uFWj5ElUXxjJPpoaFMf7F1LQG3DUVVRFTFfGm2OLV1aRM+AGLdVylsplDWzVWUjLl9GGgYVkrDfCYbDT10d/i9bdOcv/pP/2n+Cf/5J+0fz88PODHP/4xr283Qb09gkmGdDe0m/L6sSZHbfU1wtqklSYmSLHX1ZwzQiH7GGcyoOvNgLAqDl/lfuB6YmUbjNfkDk+k15cbIlN8U3BU/TCYA4vGT9LaUHRnZ2OVK3q9kaH7CDQ/IsLvm5K2mil/EYWokCNrPnFNgy1UdNmW/Uo4r8B5hU4DyvUIWSqStQNhzVgkEn6y2eJBJMB6pMOIfDW0sZCqSM8rEe/CNho62PhWq9GtpTEPdUzQ0eqNFwuQjOEqNwPyzWgHdneThJh1+csNW7ZZKL555L3g9CYirBG795n1uNlYCE9GRZggmDGR10RVcxKMMQCaUK45z8qOrRtQgWhGWXXgoRGWSlMp7e8dRKBSeci/vCVL4pJMkzGiVPz87n+Ln13/A6CQyf0XX/9fOab7HVTMYGdeoCeyApJDZ+lMktcY3C3QEzayOA80sQlujXWOZSPNszlNVpG/35B3m3fjU0U6C0QD8sHc9x4iD+NDBVK1zX8TUIUeO1y0YNqAKQCadPWCPfT7Mga6qQOqUhZYtdd0OoPo7WYuFoeDED3J8DY7WmtrY9NYmRbsbBIf/97Mk7PtL3PhmjO2tjHGnlAM6SJ58HIEHcgAa6L7ZR0Cjq8j8pVguTFJjgWW4oFmpmkEW28ErIeEsFaSb5XzU2xue0BSd4JWt+/72LAZd6DX/U2pHQZiUndsGUMPdobEf7vZTwjQ3WjM4NqfUWU988+v/iF+b/hj6PmMrCv+5em/s2ceoeNuw87zmYQj2QGdzFQKBfD9zpU6DvoEWIIeLoFPVSAK6kBTq3gkEl4nyiNDqcAJTRnTAkyxALfA6ie5LoYPnOfNlKOi9YoO7WcrFTilmtQwAGk7l9BlrbEDso0t8jnTwAqgjuliPnHcuwS+dRAACAKVwmTT13wKQDJzqVz4uaYqaExlSf2c9ATLvienlbXOKTKBrWgmWnVHSbusBXJeyKSbmZVOAdgP3F8Ha++yp+nNfMt6wuWObSGcxZICjA/dFdVby5UpIAoQTzNkLSg3O+T9SC+L0NeVg48Igno1AVcTn6XHCQOZZByGPvZLZ2lVBBgCapr6mQR0QGVFq+l31UZzRU8Rv//p/wE/u/tH0NMZuS74f73/vwEAyvVE5dc5my9EMklv5pzwmmZPdsX6XFqtq5ssNqPLj/oQUxWmwD405m14Ugtqe/1nWxo2h+MMyIm1aOGq15kiKMrTgIKB4M7AREAyE6kySkua49OCOiWsL8YuBVfg/GYHfLKDOxGrGJObgPFDQXrySFQv1kAoldJqAy4UALbMau33XqaI8tkNNLDlYzHFkDPLca3QJFivR16zmSqGAuw+cMzj4q0X7WiweYcKDMf8bYO1XKFDwHJLA6v14C2v+Hs1MiguI12E85WxeDcrtLB/KkxSGWeYDNdk5Sfe4/lVQryJWPcBZWQHj+Hk8y20JFqjJQeWUHrPWU+u/Gc0CM4v00egdVcneqcAPxPLEJCvIuK5YnzmWs83E/fNteKnu/8Gn/3h/wl5F5HLGf/9/+Of89ktgtOPM86HjPDViKtfs0XOcst5dX5D5oy+CTxndm8VZSc4f6a4uTvh+XbCes22QccfKBAU6YntrKLJfMsIfPiDSMbxBKSzYHnJQHtZItbHyVx2GV7vvwhIz8Dpe4r1JzOurmckqagaMO1WPN8kpH3GNGTgCjj9CAQ0VwGyYPwQsP8KWG+Ao6kM0pF/1msmuusV8PiT2FRcvm+kZ6FNitCoyoG8kBn7Tg8Vu29WLHcJb/84Ie+1mShNbwP2X9EfYnlBf5n9N2zNePxBxPkHypIZb29qKrs4M07Ie+D5x9wzdl/TcTh+w2efdzSHqoNifgWgAle/BqaHSiXZC2n9gV2hOjxu4pgAfPj5gDoITp8VxJczyhLx4csbYKgYDytirIixQkRxPE4o5wQVhaSK9ZwwPw2mNnAASFGuC8I5IJSAeKbDdZmY3MczPzcsaMRCzQHDY8DwAKv/5kN/+EnCw09eYn4lWF7Yeb7wd/I1z5WrXwuuvqhNjqwCTPfaymXuf07DujIBefkvnORO04Rpmr77m5uepwyw0NE86w8aMpoB1fYllvTKmuF1cGKoHZp8Ofe6JEVrzVNNtswaD1ygHdEchSkjFDRUVH1nJJIaVmnIqaOnrTehMxAe4HtgUys3xa0s7WNWSoQ8TAXciOeiV99lPtwCdJ0sSXVpqL2XilgixA1OY2BCafVL1aXf2CAklQnuljnXsGFgNmztBePwEYuh0ZwDgyH+yTZzMwWoO2uuvQrEWJzu5ijQqMgT6xUva5j6WDX2wn/H/0QiTtXa+TjzoIl9IhmAhIYE9UND0ZMsGwvrHQohTCbmBrqVhgdJCCEwOt28KEn0RMLmYlWDvSogZJabHLkluP0Ztov099x8z51QtdZWO9kCXlEjZbWPld9rVsSs1uqHY07GQKCj17tJY3r7hEO/xmLAkwEw7eXJi8+J7fyw6+LYbYJMv3ZPgBurFy7fw8dvy6TV/j7axiw0OSKvtW7GdzOXyuYavVwihAa2XbB1m7XVyigswWAgaxustQ3Ie6DstdUQQVgX1hBWQyYdYa0wExHrB41qyZUZ0+nApvCIm1IHT7x86BW9tCCQBQh23wyI6kWLnMauOlNtgNGF0sBauUEqBBEpjERyt8/cEiANgaCFm4pdmJIBuFwem2eKPp6CznpuXz7tHVwaFBAY0q1MCJN8tF/1PZqOquyvK6YkQbyUznbGV1uA7PtC9f2xjct2Dn709e96eRJf+u/Kd/w8gYJyOVZbRtIN6QB4X+Nee26//x3ScPdtYAIY2xkDoLELDfApFa33elModK8LPz/LJCh7WH2Y1Wklrqt6jM14xu+h1fSbw60GQZ0CalEEZ459vpsbtIOXkhXBmUPb4ysASOT31gJ3FG4xBNDcd7/1+oiNb8ZBMSCkkUzOAp4T9qoDExuUanV1pjRZ0IFu/7iL/Ryt/rPXwn2HbNu+tlXWujS3K8cUnPjoa6Jo6xctRaggUPCsr0Brs7H5Hf5iT5olV2C0PcyuUwHUiQxMXLq3g/eN9dIeV8W0fXHjJ7FlwTzJD34P2p+nu85XZ5v8Lfw8NsaqRiCoQA3AikuFOxN/XP7CHtXaDRsVbS7JWrjtZK5tHSlNlQIEyGZvBh1nBwX2BVc3ZyxLwnIce7tAvx0Dg4Mx5260WUYyW2QHeX9lEDSGLZhvg7Om1eqRYx8HH0O2N+Je5vftyQsTXPSQIVgvXUEDedm2iW8awogwBMRdhOY+MaQAcsh4+fIJ755eQApjpTqSrSsT47cych3SvMwmvihSLNBE5+oyAeWKm9nWnElsrNZrtvDcHcF1vAQsOaKsEbKE1kpGwORofFTMrwQxVQyxIGtA0IAQKmSoiKkgBsWYCuphRckBax4bM5hONBfzvd7bHK3wMgHKry8UFopWO+0q0D7J+CesivS0mOQcQADKjtJt/RAa4OfO6t5jOiwWP6kPnzYZPR2qARyAcsX8gYobA0Iy504Gx7JMisYcF19z9sdbF537Xueg+3JLpl2ngjQU5DlCztw/UypIseIwLYiiyDnivLL9U4iKmsiYlyIoB0tw9xVyyKiSzJCwx0OtZ/tH40eFpt8zjbMgYB30DsgHrsGArpzx9RlWxfQhc77tu8mcy6LXK8ZlNX0rhfqtr9/ZeKoeBujNhDJYAbQFWWK27u58y02IQY3u+8YJAMihJWtiErY6Jjp0+sbQkiOrRVitlUEgwkonYSAu0qVEIKrE9ixiiUr/XpiJQMSZVulx0dacXJNgfbln0f9phWiFnBcLJqaLzZ8DAQDak8rYNyAMCToAYSkY7xdDHj0Q4F9b+U08sW9cvqMhUlgrgjG/OtLNt0nQ7PfDmWNSvZ+jHVqyFgta+fNh288zwGrtmICE08aQJgo0GTNsPXHzTjC/CK1uI+8V68uCdLdwbhdByQH1KbV+kzUJ0kmwe6dmAsGFX3YJ2CeTENlGbfU+NfF3w0oHQk0B601CbYwDmiQmZL1wmCOTGJBvd2QpZ9Zp0XgKrMMFoFOE7IYeGDlLHwO8ldDHLVZ0iqgxQMaEsCfg037Cgiw186nm5uusJ2CH+SYYMyknWYLhwhG6S/os6DJ3ZWI07C8I0CimJkGaFeMH9H7PESgL5VXpyJYVceHGGLK29g2sid4kkNtX2tTN+p9cLAktPfHZJsLbQN+Z2I9lf6q9hhw9ICcrZYluS9S+I0naJvsui+Q78b8aezsTU2OIt8xpAb8zxZu3NXOTOgasVxtm61aRryv0qvBAGCq0AvlpgCxk0NfZpVGB5ihmlocodIJ1OaKzJ27sY0mG17g09vLaxqb2YEeqI+WZ/VrXCqz9lL54TlvQrSkIgpUlsG63PanN3lMPA0IiIwKTV3K8XKrPvUajsH2Zqpnz1A5A+LONAk1jvw6AdaTeCseZSQcp0BM4HCtZX2PPmqwvAjVFSvpNbhsHjmM6AuMDk4R0qohuQjhxnrMlj7WwssRUfN6NqSW53zIlMyDWWwA1VYPVozs7HdaCcDoBtaLeHFB3yRBuTxou2Xre/9CYTVnRa1gBNEdWb2/kZ0AU6PXO6oQtEDPjRK+VJ2A69nPTgBaqbRTISqOpkUlJvqIqZ72prJULgMQKLQFLETp72nsNzzxTNQny9djWapiZTVUzLiq72Fyn+Wzts6Og7CcGN2PooGliAjbeZ567c+l+Ee4ia67S4WyKBduPUCvXfGAtMFLsdeleCrTZ3kQV6y3VSbJx6J1f8cwbHgtZXjME9LXodeE0PzFWDvKtSIqsKhPJllC6edL6bUDG62nTiQB9tVZZGgX6zN8rBzNaK9JamYzvpQXQlBICy+sDWXrvdrB4eUD/zHxgiy+2Mako+4gyHcgyz6XNM0TBcjMgHwLiUhHNFNHLiRiEWpC/1qaAUbFErfUQpXFSMvVHOldIi2DtZ60OsCWyxpiHVTE+rXAJfwPaU6AbdGH99O5LEiXLy4ntg3YB68H2WZNf1kGhI8d6WfjQhv1KFc7MHrbpJIwNMy76xEpVpBlQG8e8M6DUktu8s2Q4opkjMfuAXTOaGgUgOCdV2KYnM7t27FgM/9MUUEE1T9gqeGC11rGipoBiMd/wlBHW/qB3XwqOnw44Xw2Qleu/DmRw66gotwUyFXpYCBqQIQUYPx/w/vkV4iI4fl9RJxBMzAHjPWtLy9SNYFtroSPn1cv/WVD+7A7JW9T4EWdAwnpNmW75qz3uryb8mxowpoznpx10idBdxpQyRCLOy4BaA9KH1NjL4/dMtfkQ2ueGhUqU8uMz5MsJN7/ktT1/xvrr4Vm6O3MFQums63LLezl+P+HtH9+2tTk8CNITY2ipwPkN29Tt3nEu3/9+wnJHhYCsBPSWG3vvGQhn/ju/0ib9FYX1q4WZohFgrGbGVCdmyvPLCBU6mntf5lp5lPt7adSu0DPztOGbAeXrAXJQ6J7P2I/5JUfD+RVxqMj3I6ZfJQzg2OWrClTGkVIoM4eYgVWwGtsnc5h+ZUTXVbGSAX7G6RCw3JH53b3l79TBk3NTHJ6B6T19CR5/BpR9xfNnEflqQnpW7N9VlEHw9KPQjLmCxUJh7evwP/f6nZPcMkZgn9jDFmgbVjzXdihAgOhyHgsIiNxbD87YEwExZ9fWCsHZRJevVUVYMgMtC1LDNLRN1xeq93Fl4gpI7gykv1rD65U/FxcaJ4RzQd1F5EOyf5tuZs00bxkSMFkC2Fg1T1zs54bU5WmGtsuSEdfSAqN+ePcAWFZ+Xh0j1lvO4uFh6Y55KRpz3YPOFiSdC2Qa4H3YaBJTKVfzFhdbk50QTKYcEE4Z8bR2qZ0xW0QmGYiUUTDfcSNYXlSUfUW8XXFzfYKqoKgg54hTEZTIVUc01AKJrC3h8Z5yZeJBxOA99H6FMADinFF2RJHWveD0RpAPFmg9EjkMmX0tg7H3NQbKxJaC6OO2HW9PnHY0vgrHhUkQ0BOnINCygfkCem/eUVE3fRQBWE/ZwgTXkzt//j5H8keJln/ephbbEd2L71djigQtQA+zyROHALRAgAZggPUxW8TQMTPVWDnHQ+FnlR2Qnj3Q2CRHznJ6z0r/etHmSN1aq1jg0ZmwS2CAg+MI5+Z7m36YhPPI4FHfXoCyMWfyZOO3vbbsmL9fY8tMRurBMNABiO94edKZd9xY85UluIeC4bAgRsVuXFFU8JgZzJW9IJ/5ntlYGACoRQCNfZMtDPBbYpucWTNU3vaAVnYR+zOzGzPUmtb/WrUrSvxxbOZXc9atrrARoIZe3+iJ12aa1zGhNiMwZQuIDZAQzpn7WxxQx9j3GVUyv946Cj5/bF9fmQjzWdi5YH0jOb/785XV3HA38l41V9E6CNIYWr0TFR0MNIdHxfho/dXPBijZWeDpZWvPtlXmDJaU54rg8+7j+bFhs5vUNhKE1RQIBKopbXIB7gwcLFuFzeV7CgAkgVrLMn4tMVgIgclTQGPsWy/6/dhk9W7MF9fC97FngBigk828CiAYQxc96eZ4Vxu/siM6Xw8V6ZAhobI2rrI3ad2xF3ycpbUzUwHKIfFM9v0dsLNbkK9jKzfxekp3xiy7APd1cCla3lPmGM+WJFnvX0S0+d2YfW//5q9coMtKb5BEk8bWp9fBuC1gVoF8CFgPAcNzRbwncONtwuJM2WEd2ZZFzFSpzwU/sy3Z87jCt6yKlsgGc031Ep9ey2vvoZ5EsV1cXCrSKSKdPTFwZgqsszOWJJ6kgTr+PhoF601s+0u7nsI5HaCNbQ0FGE4FYa1YbxLyPiLOitTk3tyf1iv2b4cK0rHa9UhjtP3DJSsk9rYfw7G2bheaBKoOaoGModYGFLgXhftSSKnARIArlIL4vEBTQL6deslUEoKKZ/uZd0+2Ll9ASqJB5m7zjAIamwsAtQSEWLGbVpQa8HxIKBEIObAm0N2ZzeyKDrcWvwzGWLc5gJ7wGWvr9YiiTLBqMjYPfr6iASYwxUyA2BkqQNS+dxnrJ5vnGWohw5s4HrF4iVqP/vfvKs7HgHWlc7KXdOTbCt0XxF1GSgU5jTwv7F6k0shoeBIsd4r1FVvwICqwAulZMd0rFut5qhEIiYlIOrNDxNXnK4bHBfPrHZ5+yJ63ZeCe5n3OwwrsvxDkq4in3RVk2hgJAhhiQbHsWCtb1Ezv2Zd1uVNrqSRNOhsy97Hvv7nH5/efYPeeNaQPPxOUm4KwRoTZY3bAnc/dhGy9ZWug4cWM9WnE9Z8ONKSyebDcCeYXrFtOpwIVYLlJOH+/8Cw2dVe+Mlb7mQBWfSVYX9aWBHJ9wVyKbUsa0JUiZqa53hBRotKhPxvmONrmdB3MqG6qQBFMf50wPlhyf1cRbM4rgFwigihEgDQU1FPA3V+QzX/79xX1LkOeEs0FPcn16wNNB8NKA858lyFTxYuXz0ix4rwmlEIzr3IbsTwNiHO6UAKFhfeSnhWHrwvyTvD4ewE6VixvgPVOMH0dsHvP8+n8iSLfZQxvE8YHaXnb/2pJbp0iYBuOB2llVJQpwKn/j+tc4zPru+qOgVK0ti3uPkr5TG21MF7bGs8MknSIqIEsFcImabGnKICZmgj71wk3u7Jn8A/Y5jJzQZLJ5YZc3LlZTRadrf4DCbje8zrdEdOTVRiaqwpogCCRPfU+dcrdqctPPejpgY8GMflihDd7v5BAiQChMx4eAJKhuqwH84S27onebaWiLfD9OGkwGRtErDhcWjLQTK5M+uNyASRFGjIO44ogihgq1hLx1RqxxoSamYDWZO2ckkDDQBDkVBHN+bAf4n7gcePPh4iy36OMAYs1tIYdDH7AqrqUCHA3ZiJ0Svn0Wtqc8b6h8PrkHQM0KcpkyJkotTqrTR9RHWM3nRBPSLVJIgEejlg3rXiafG5DIXgCsX3u/og9Ibe2UMHmSDMiciMPoCUS3jKCTJ8gDoZ2JyZZNXGTTS5tsTyStcu9jm1bJ9zG4KMkf/vSjWO0/46O7rCyCeod4JH+OQ1I8WHZrAfxn/FWOR8rJrb/79fpLoTOzFqScrEv+HturpeslyVb0X9GWk1K3gtlSruKuCsYx4IQKo1eVBDHigIG7PnAiydKLMDMde8gEQDAUNY6hhZ4QbiR58k/Gw0Vp5sxWkmFO2LWgclqeyxZIKWXMfhdb43jCJZ8xNQLE15xlhZA3rNuXyOVFHEemuzKa/TE5kqbl842mmJFY2zPqAVlzdldvwVKtH3OGFIVAaah1+banGqlDkURF7YU0KCQPQPyuOCyRtACNmx+jxpSWI0z1z0/1+agAy++djd5VEvmXUobXNot7br1sIP7AIgpU5rs3+fB5j5FCXz0djsRzbDJXyZFRwrtvUQBWUx3V9GVKCIEQlOgg7IDm0ADLXWIrJ3cxdZGpUuRFTEVhKCIsaKUwOoMgbXlA0IWrNfshdrO99XY0PARkAjOZ4VYPTNll9mTXEsIWqCXgPlFRMgch3QuDSBzJli08h79fkMAUrF5Ka2Xdpv7yXLLTUu49SYhXwWypRIgNXHd73iWsOfkwOu1Fis4A26WCFNCtPY5xsQ2QxhnOwNazJGsNs1NnkIxyWFjVH2NG6NZeFY305YkyGvgfuDApbEbLoX2PaK1mwMaq+4GbK4gqWJgs/2bj7+z2sXqpUNWDMcOtrnXhgZpJkg1CfQqNROmCy2h7XEAsF5zMNy13mXbBF27GlArfRFoHmTqBpGWBFerjZUSEFwxEMi+lUNCnTih4mzz9homt6X8ctqvuN6zr+toidS6RqxjQjmNSMHA/GtrSWYmOlufgHZvEXDH4QZi2BjlQ5/XTUUYbB5VNOk2gCZTbiVz2+N3qUiqpsKK7EG7NXKsfE+Pwf319FlAOgHlL6+QFpBxPCj0kBGngjJHlOcB41Ha881XYmOnNj85ztwzqU4ZjpsyhdESxDu1FjkGXE0D5NMBeUeZKckRc+ydpSXdBN2B8BShp0iPkQIs2OHLWDGfB+DrCfEkuPqNYve+IizMBssOOP6oUDotAcOTYvwQ8Pl/+gTpGHD/+1bHOtKbZHgU7L9SLHckS+qkOL/uz5Yy7Ihy3mOYbd37mhGeL+nIr+dD7PLyY6CycBbKu3cEU5oCJqA5GutYAXQviXTmGl+v0To3xMcI1hnzszTy+2J7BoTO6vmgwMaFfTisqDUgv4ts9bNTxLEgxL4g9+OKGCq+ub/G8jQiZcF815l4PUXEE72KvEc7VJDOZKbjwnNRIzDcLgixYl4T5hUohYZieY3Qpbcq0gIMj8y3grVQ0wgcP4moifXJw8OA+XVFeZWRj4PtJXQhV0kYntjayNedfBTO/LbX75zk5l2EWK2HOwlukc3xSe2GeFgMTxnh8/eUdH32GmWKCEdBWDMPjZ2Z+6w83HSIrMfNFemJ7VPKzuRQU6/xifOm96UCwZwTwxqQzCY872hb7YjY8KQYHysZ3GfuKOsNG7wPj5QWq5BVxhghlhQFa3egw0aS7K8QoIly5LJLDZWUwnupKfQ6MQDO4Lq5EIb+Vr7hwwIHafXEPXCOS76QwFLq7RHDSKbSWqs099j6bdfPlhyHgHJIaI5/ltA1lD6B7Q2mCpkK9tOKF7sTDmnBm+kZc0lkuU47POcD6sKEYbmThoRJAW5/qRi+WaBpAsDga91zQ02nCqnAcs12FhopzWhouG1IHpyJtQTQSFOFuCp0MQOqebHkdQRCQHg+AaczcNgD6QZNguvtcjaJLmqHispugOwiUeSRc48SMB5GKZKRCbMgWBDbJLJbl+qdGcyEj+cNep9Hq6tDKS3pay83c/FcOVfEbNIlGOiE1ByBa2LtyvjMPnd5xzkQXLWw1haUN/MiN87KZggXY/8eGNyoyatZT98lhRBpNb5umAY7zAECW5qsZZgzYh7AoDJO18Brckfii2Ra0GrJPZC1NxfvN+vKD6CzN+7u3N5H2cYJYHskawPj9YnLLQ/BclswXC/Y7Rfc7GasJeK8msxtzIhJsKxWe2jSfIgCzzyQPHhrH2t1Xb5JS1WUgXLQMgrWG/TgX5hQOIo73hP5zvuAkAQ6B8RA4CYumcPgCZVIl58nk4Fvkc8QgFCZXG3AjPUmob5IKBMQl0hG1MGcopgARFn7GPK8ZhJmiekFIOLSXq/7Vluzoq2FcAMr1gLJFXUaUK7c0tHAgiRUaIgHY4rhmQn2eh3oEJrJKLrBGtQZaG3XIj53TJkjuWyUFBHFjA+D+0sAQBGu5cVb1DCa1Wmzx1vim1/sAeUZ4cqYZjjmrHbm/UMteRWB7gxgTKEnv9VBMrBGN7p6RMk6LxlyMkMwl98PqSW4ZSLTHqRsQDIyk/k6Uq2w5z7Ry4KAYShIoWIaMtYScI4jFIF1YjcAQDMhyYLhxGB3ONLR3Fm2VodZ0YwKncnR6FJcNBOVODOoLpNgvWbQWYaE4RgRl4ow89mFpaAiQKydk44ElFmHOnDPOp45p3cTgbdaCeRs1v/5ZUJ5EcxgRZpyYr3ytWnspXDNpjPnWvD2Tbm23sZhVUzv+RzKjolenUIDzNlmCBgeCoH0SZo025Pa4bEglNr2rbDGxliM95xfcZEmQebPkMmKq2J4NtbUt721mpxVcH5Fk6d0ZgsQiNWxK5nQOm0BJCDMVJLlHQPN4bmyXhYOGqGxtb68yhRaH1apirBh3qu53NYkwJ7SW7ZosTFY0epZyVIl7os7S2RzQGprR7l3DG4wpfAwVl9z7XotMFQxHJmo5oPJSe8W3N0e8fJwwvf2jxwrUSw1YggVx3XA18eX0PuAEtHaP3n9ozO3YWHADvgclg7YOLgWgTxpS4wBxjF00KZsVuz9vMwvWKLp6pwuTc5IT7WV5gFo9cIkk2rbg7aR3emPzrj5xQ6vflnx/IOAp59W1H3F9YsTgige398i3QdMH/ic854JDwDc/DUwPRTMzxHDI8dg96G0WJCGaL0NU/jpM/ISMT/toQGYXwrWGzU3Ysrt8XvP2O1WPH5xg3QfjdXn2E5vCXIMz5zb51PCeb1Cegq4/XPG67d/cUR894zxJy8Q5xGPvyf42f/mc1QV/PX6Q+y/ZiL86k8EDz8RnP/hkfPlfkI40jTqxS9mPPx0wulTXtPyiuff7vOE6QMgVdANVDcxT+D5O1k/6PmOcWtYac6XjrzG5U6wvCx8rmtAHAUaaJiYA+hYnY2lX0z6/L7iGRHzawAV2H0jLZmUSnBiflmRToLrb7hOT58CeLEgJEWIBOG/d/uItUT89f0nACLqdcHVYYYaMC8AbqYZ+7Tii6/vkL4eEApw+p7vO4A8BKRnyolrAoo5Vw8PlIQ7KF0HxU8/eY9zTvjy7R3qagwUAD1HhBP3sDIqUAX7byr2X69sKXbOeP7RAfd/QFLqzb8rmN6v+NV/s8PdHz3g/ekljWQry/DSUTDe88wvA8GNDWb5N75+d7nyToBJ2sHWEMwIQNElM8pVUUcG+s4gBZcQWguiZg8fXMvBz3H2ztuEOCIKkwVdOFsCcPOT6rJAMe39JrlrSFlDV5U28mHDWvj1wAKJCKg7abrpxmYT88Bv6xDqbpxdxmdB6HdJMLcIONSkIJsAXdWSAvtnCJSQeMQY+s+6o+gFgyPSTE3al9yS3gNWY9u6AY/VDDp6YvK3OFSkDUIUoEihYAg0EpChQlOEDmiW6OmMJpvbulRCKWlvBmDbvCagyYDaDr45SMrkBxCRKGdpahK6lha6RyMAOls9opsZbTYxUWEyVCqDpE1QpEmgFrg44i9VkILLq/ohrDGSuWx6JGnsT2MmP8pxPfHtzuMf/YwzY+527Ne1GSd3k5TCg9sDfW/mLYJW03ABtGzmQmP6t6+25gw5biydAzXSEyvpQEyvSe4BemOTgkC2axWg07qa+Ya3JJNvr5WLmsnvuNaP76n9XLT32RhkbT8f6EHKxSCINoB+iIXSfJfwVMEy0N2zDtZeoRL0YzBjJlW1v38fa1tfbowSNglubPl8q9NyljdaH2oNlAaKzSsFDaUua3L7cxD7mfb8jI26qMn1zw5d+s45pESG93z/Bt75e0S0koCLPr6+jxf0pHM7l4ELRt97qrZgfSuBF5u3W3ZVjLHy88DOmo9dX71FDcT2zwpILGQDfZ6Fy/OhS7ptf23zKFzOr83LnXTbmmjqj++Yq9icL/6nKv2RjO3zMgF+bl8L7fdcnWC/v+2lGzYGNHAmvhbILqK1hGtAgz0HUQRRmr+IsnYrGFNgQa3P17ABE2oSyBAu5ncbE1s81czcqquBrHZRk+/ZmxgCHlh6PCBtTL7Vk9vu+1syfJfQV7X9fBMVWYxCczlepEuCATuvirR9oFrCAwmXY+Z/Lp5p/wyxuRiKxyf9Z5wRDSZhaSZ0XhqQ7awMfDO6kWpjhtwkqcYeZzkghSCoU+wMrX9dyRB7SYWvlbZnA62eXkwR5ezpdu2Goib59/vUzR7na6AneN5uhPOW96Ohq/wEfc1e1Csr51ydUj9/Ns9wy5p2I0e7jtjBlSYhtu8lqZhihu+aVQUxVMRQgVSR95SbxmpLI/Vn6c+7xbrpct5ygPr86mos+3kA7Osu3FoSwR+vW2RsSRPPGtltXSrXgPlBccxW8zAZvY6fe+VFOHpKZDs/DQRQI99gXSOCrWtvA0miCn1uYXOvYmsxAtVjQzPD8hrivETUNZLZtVrokG3S29iUHLEs2plngAqnzb7NFk8GlFVp8nypYB39ELHcpVaT+v64b5OlOKBmx06eI7eDU0BcuM7Kjt48bhzHOdTnKqrVxUey2gTn+DyZyPKWvJOLJ+rxRDOtGgXxyBg9nWiS5YZxslMM+xU5R2gYWqnG+Y5eM6gcs2geQQ4QsU+uWO9t2xMCr1kVqCUiZ8VxHaAqwK5ifSEYbha82J+xlIinM31khlAwhgyxPX0bKjRVwmbdIHKeqJUHZSsPqkPFOScs2dLIoEhDQUwV5yrQc+xzUbh/lp2BNHcD5tuwUe/xx+IMPD7tgSxsfVVtHqjHJNLygIuyvr/h9Tsnuac3AbgJrd4gLhtnPtCcSCZBWQVhp8j7ARpeIuSKeMxI9zPZ0rsDD+FcWVR9GI2Zq92F01HOmaykGBrSHEWdqdxIbepgzInSitsdAP2hFndny2xxNDxlpCAX7YAks87MTX6mObNmbFAeBhu0XnLlPUzREv8AHIi8xVNFnAvqEFASPzfOxkbZRgE7BFh360kxIFMkO2AunO0epgiU/jXWaBE8iA8zZFmJZicLHgPHsQ6RjN5cIOfM+88V1bRdGkC3zOT2+5RU8hkLwj7jxe0R+2HFWiKyBX1RFIdhQVXB6TBgLpTHSWGdy/4bSp/KGHD84a4dDHFR7N6ulClfRWNKiZYug2B+XVEnRXpgMbsfMHWkYQDQ5VvDIzAZO6zG1vp47UJg4DwkghSq3RjKJLhyXqDLQldte61XCflVIrtnjrve5DpkxXRPOUdNQjLeasc5gS6D/21ro20w7GY/IZv01PoGb2vvmjmY/bwmh9MBV1fHmb2lowVEHkiEVZscKrpsWzoI05Ijr6HdJpfuRG1ya6kVmMtlYuIS+iim3PdnEFAMwd9KTDzQu5A3A6Z86BJarkFeW6szD7yWbZ2jrF4vGpt02kGDtj6X3Fy1NcWesISefPMa7ACsgloiFCuSgTcvdydUFdzPOyw5Yd1HrFWQK2VZcQCWZg6jrY2EK0g84C3mAlpGsR57dngkD0YYJAGMz8sgFyYoogy6EQRSBtvDame6i/YkVIOd5R8l+RvQAiAjA7uOMgmWkc8srLbfpoR0joinynYe2+dmyUc8Z8i6QgNlsRBBFOF6MsfdsBSER3MAGZIl+yx9ac9qW+9b0STU6ZltSPKO7z3eZ4SilOBOlpDP9WJ+0aMhtettLsS5NgULVLvXw6aGX8A2K2K9g90cqr1PA1hhJkXWv9Hmfb6ia3A6sc2VeBKwUd/0eUfGvT0/3ytCYHmF2Nqslf4W1/v+MxtgLJwz8HhmW74D1SPhuAArjfzkOlKGuAkuPfGZhsxEV8iaxYHATl0FssYW7KgyqAxBkRHomJkVYWagrckAAgebh87geh31ekMDnHhmqYW7pLo5zdZEsnlPlI+Mzi4AK4FOA/e8ZYWcZ2ipQM5QXfqPZbUyGkCvrFa5gSPWJzRo3wdGwXJH1j4dTR1V0drd1BRabOGqtWJ9JaeHyuB6FGDyunoylcuVIK5AXAIka2vp5DXmGrvkNZ2oyvEaaq5XTrxq8cT0WDA8FORDxOk199DdfcHwZExhJpoxWMLpDuGeWKoAy+1gn1dt77U9NBjYrcDwxLGvI4HfsCqmY0GZAs4vGOBLZQ1wq8deFIO1vykT67V97rfWf5vrcHOvMgXk742UTT+UTaJsgbnJGj2J9L+zqQLKDiiT1SwqsJYIEcVNOqNqwKoBRaXN+el2xhyA8JCQPudzLRPfc3jiM3D5fk00bXPZKuui+Xk1AeXAZx8W1jfW0fqUrqExg1Ktf+/E9bH1FIhBUO3vsPA8jqdMZv9xBnJBfnONvItMhtdNmy0At3+S8PS/m/Hjn3yJX324g355BRTB/G4PiEIOGXK74Jx2CCV0Wa4BWOyVyjlYdmKGZT2h18gEb7gXSN5BI7DcVSx3ZGb3X4gZ2tke85sdclAMC++zjMwRELXVSsdnSvJr8snAP3UAvvxHI9Zbr+8XaFQ8/c+vON8A5BvFrNJcla/+o7U2NUY0H6zNzsg4sU7CZxRhCb8gmuFYvhU8/V6BXhUc7k643i345s9e4+X/wvjT2zBBGXtefVVw/RdP2L/cIZQRKsB0T6XofBuQrzhX/vj7X+Bx3eEvPv8MCIKnnyjKVUE8BaQnyst37xg3PH+f5pfjA3D9K6798ytT6Y2V8ckcgSwoMuCL5xFhqPjhD9/h5e6Ezw4f8NPdO/zF6Q3+1ec/gQI4pAUvxxMOhxmPNyPic8DwwPhj/qQAU0VNCfVZkK8UcZdRJGK5jTSf/bQAtytEFF98fQcIEGPFMFb8/JNv8NnhA/7Nlz/Gu9ML1uGD8+X0iWC5TTh9AixvCsJZMX6g+dhyFaBhwPReof/+CnEAnn6P5346cu6sN8LWXjMZ5f/1jKcGAUwWSSTcoSq+2HTaIRsvwo+sK5kLe7JGYythkhvw33VgQiINdd4EwWAwHsyN+eOXWoDiTC7rXHi4bOt/vIYG4Kavxesx0WRjrfYsXjIRF4drg0M8MDHU0TZhwIgkRx6tZYEuwJY7a0H/Biho7Q3Kpt7Jahq1MWWhIbydZTYZ7pDYONmAAh+bLXL1rZf/XNigy1tyLAApmkQW0g6LqgFBFClYP66hQjODTK9vcImmj4uPMWu8KqDxEi0HemG9o6eySQiGvjE3hD4YQjpJQ4NoVhPYIugCEZY+5s7yfvQiWELUrU7GHhc/DPg9KdagfAgNGBE1wELE2FQ1Sa4ldh8ZYsl3MUTi4EWhbFIoPdm2huIEszlbOXAMGD5CuxQNRSVKzrmkFuD18Wgfjia59msRYZBpTqmtZyWAVkjs/2+/4yZLwdQPzYBJNvPQmYTNRGts1ne8mqvyJhmn0ys6a6ubRP2jhM4dltv4Sf/TEPNK8EDtngIUo2UDxzCiRtYvijW0VyvXp3SP7KeaxF6qtjgMNkyNOfZ/i930Zq/w/xfLY1za15hfT5K8z2jL7j4aN/n2eG3bqgDGWEQPaBmENBVNFOQJlhQJ1FoItPXi62/zSBsA48mig3FmRMVvKplSr4v+LtbTL1MtEdzMETqzVkgUyBD73N4Otp8fm3ME1t8Sdr74XOPIfXQNH4M57Xoumadt72NP9GoiG0O1iDO3/Vz7+OWA00UbNJeBibPbYL/f5IZXiot2UbVCcrmcAW7C9PG08LG6oHaBav8vAoSoKMYedBaHCa4qg8262Xuw+etj9U2v6ez7tCQgDAAy8F3tqb5rnL7zZSwu+Tkwwa2FTO62LZyAa3UwdmowlnjlHsV6T0vS6uY6fW/8+IyIrorwe7QA2JNkAcEjBx39FToTS1av+5uEosaa2YJSbe6qPsd9rXm9p/+sl/g0OWvRrvBSwI2UWi9g+zkdDNhRtXrby2dAP4f+excMpoGpTYVibLAzuFA0sDIEYYA+eEJs69gBaZH2e97nVm2L83O3/X0Rh6EpQfyZURqNlpDUyvOzamixy/Y1DAVll5HPxpD6e9qPtX7zba2jsUuhnaH2J8AYUO65zbxJ3a8BzXVZqqDaM2rsVeTAt/jLlVi59nKL9lytJGQDzsdFMR4y/v7LX2MuCX/17kCWeOUYyyEjDQXnqRLg9MtXv69NS6RNctvu0eYhHcLFlBHay6kMjNXA58/6cj830GtUBcDA6667rSq0b+I1CtY7xfoqIxwj4pHg63jP573eqAEPvN5QCEps1RYeu0HQWgk1BYk9S3iMGQDdVQz7FS+vTni1P+Lr6SWgZuxmyipPoENWhKcZaUoYngfUyK4XYVGkmbGB5B5H+KvuKsLtilpGunlb1xB3Z/cevuNTxboPxohqZ2GLIMyU7qtG1CrYpYwf7B/ww+ke3xvu8T4fkEKFqhCsDyxJQbyMqemqTxf3Ogprv4Emq0cAdKrYHxYsS0I50ijRe+8e0oIXwwljKm0dej5VJj6X9a4ivTpjfRghbwMko4H9Ys9svQbKC86ZaPXwzU/pbylT9tfvnOQC5rJ1UCyCJsMY76U10/aFz5pKkyxJYHNy7JCOBfG0aWYfWDdUx4AYBRqrTSome3E1lLsyKaopsBZRjZlUADVCKhGhuHKDZJsOIfrqslbb8HUIKImfq1EQz4XuaZbsMunjg65jhBx20P2A9ZYtFNLjQpaoMCEQb38T+yEllXVRNUpD/evtR87QrTZF7Rq7XAgAvNdg3llh+pOZY0Vc9toUQb2aINOAuksNafYNMRpjUVMAptik17DgRe16yQaGVlMzv2b/rHqO+PrdLQ5XZ7zYn7GWiPtlB1XBcR2o4xdgmDJyUMYuU0Q8ByzH2A+/QllQjYC8Hhhg2EGb90Ri6wBM7yJq5LXXpM00QFbB+EBUcHiC9QBk4BALaFbWpOdkOGTNBFVSgJGllMWcluZyisMeUvuOvh4C1lsiSXWgFby3APK/s5lh7ABIiazPLF3aqSmg2rMNVrRUx9gDbNihMia73k1ytn05+GDzvliLJ9Z+uRlM//EL+a3nOX5NInRhtXlGuaTJpi3hCEuGPC/GJg1k3CqDSTF2VUMgCxfsZkye78Y8wedocJfzjRrBwaRNXVGNhhi7cRtA2WZlkqMx9hY258zrjQEax57EmTJi+9Ix0ZBn+wqAg1iUO1lwX4H0FFGK4CjAbshYU0A086m1BmRnnIUBTN4rwmABiyW63uMxrD3hawGjMVeY+XPs49iDOHdUDStruNyEIu+6OZ4KWtuwWJUMlzn2Si7A7K3P/H4N5BEBNuZqgMnM7roBFog9tsMqrw4YBcQ5XuxN/qpjbCAZil7sOw5eMhk5XLCPUhRYMgISipVJrN6bXdA+p1pfdu+lix33enfP5xwMQAUZt6wIpXZ1jgfdmzFhLCWXZk0b4BIhQKdthAeEXA1ssp/zawrSD/eiGB55DpRdQEFAjM4EqjHv3USmTqnv/z62zsw4AGbPVmEKHU+KW6silkxgb2yz1czXwwiEHVUVLoldN+U4QYEs+PC4R0qsya0q0CqcJmNFsfd28yOIWG2o9JZNyecFx9lrpUOhY20dgWpJC0uI+PllUno5Lr4voAGIfu5xLXFvEmsjCBGI2vMqtbsqDwnYjZB5hZ5nbJvWHt8EzG8U+UXuCb54AkJZXTwLxg+C3dvNfipUYKjYfhYFmID1OjZmF54EBbKJLG2xsylrG5u4KMZHe6T7AOx7EuEJENdaT3xcNhvnbWKINq9rEswvksUwTG7pFG2mYD4/LenyANT7HUslIcC2fbZ3mwKo798kKhwc4vULyhAb8OyDVYrPZUEYFMDQ5roKDajqIKzTmwEUIJ5Wi80GZHB/dTNQv8/9Nwv2QAd6k7TYbR1Dq/UOZlVQ9vQRCQDWJeHzxxs8LBOiaCtBmUtEqQEpVOz2C2ZRHKNCloDxfaCpUDDgvDA2qqZy0cpYNy5qCh5n2wSwPbyOfo7Jt4EcP5c9GYtAUGn7FwCUIQCebOaAcFqhyr7SwzEjPq8IjyeEfGpv+/4frzgEwb/4zR9iP6z4u3/4K7w9HfDFL19B5gB9N2HRCRIU5+8VhFPA9I6xe94z9jp/Ijh/QqZxes817POP9whTaXBeH37Dlj7PnylOf7RAzxHxmWABCQdFfbNif3NGAqAqWOYB9ZsJIRvwNCj3I+F7l6mPDaq1oDlyju/e9fg3i2J4sq8FtLM0HTnXj5+yDr+NuQDDfbCk11j/EVhurB/yKWAtE359Tvh8uMPwIbZrWu4oaRabk6cPEbvXV1hvhuZP9Pij2FQZ46Pi9s8F/+H5D6EBmNziYRGUU8L0LuLFn1VoAM6vQwOYp/f8/Xhikju/UpSb0vaq+BwwvqPaqOypbv2r/St883SF+zc7DLecbD+5+wAAuBtOSFIIhgtQDxWn77OMYXgfITVieVlQfjBDl4DydkJ8Drj5S5qYhnnA/CqhHirkinnbehqwnhP+7fJj/I/xM+QlAqlCzgHjB+5/508V2Vjz9X5C+hAxfjBp+AAsoxmU7RjbOzhRRu0GWPDzXVA+7tP7W17/ZZLcUVEOFTpUyL5AjwnplLgZn9AR/g3r4Fp0yoTo4tZqViNrd9nomYvD28005CgoW+aYAYRGl7ywBicMgYe9BRp1EKxm+BIXD5gMqS1oga1vulIVan3/KIVGSzY0CXSXUA4J6w17NqZHXARGUtjjT7NBrWL9MRsbbAf4JD0BsQfoaGmyoL4hpMYAVAsUty6+jh432U6wYHOI1hw9wPsBoprsC0C+mSgNLgxEOsvrJhAWrBljma8LbcrXgLIGnGNB2c1YSsRpGUyFZ0mCKMYxQ0SxKlCjYrkbUMZeVM/An6jUehU6yq2+cdpEPQKAOeINnG/yYkF5HoAPtCh3p2zq9zkWBDT6ONHQzBJMY740KdGwXKDHM2QaodN4IVcuOyBbI2tHIMXqxEIRZIX1qAXyORi7FMjyldKUAToQqKkGUHrP1FAMrAgCWO9LbS6s315zztyzX6C0fpchC3tL2v1y1L7NGLU6q0HaXNKiFwdJY5i9LYnXL6ZABBQVWgDJnEsqXZHhTtctEbFAyhPcCkA3LKKoELxyBNmDd6vlRCXzhVIa++zGBMEluKnXoDVZ+MdJbgpcF8okZft9VwdsEfswA9CAfIiYM3fa1Rx4Sw0oxgpAAEQLZMQCcwHCKG2vaUna5v0by7IKZOh7JBMEnyNWv7UaEm6HrM79vpwt7M+XTB6WFXo+G+seAAmQhNYv+mO5ZxmBas3eUfvar7CaMauXqrMFFsLWFRfsYCRI4YDE9ns+Z1nbOFiAbXtSKSYfrgAoRWerGenrWGDyfQ/W7doswPd6QNZUgtJfVfoOeMu6jZyvjYGrhbxEptaeNAJEpTeO5i2x3LQ8U9t3OC7dmC7O7EO5etJZuEEHZ6RFzeANrO3emhMWRYibRBp+P4XzvU2Afh+th6+vr1yBoKj7iaDY1OtKmxzX7lGyIM8JtbKFEIDmJi6pQga2FcoH1odxPvK8rFWILVi9WzorA9K2/xpQstmMQhZo7QyMbPc7C0I1CoqrFRSoheVE4WPwrzHfFSiVJQsjzdAkZ4j0cGe9AVuF3CwoJaAuERIrhh2DtgUT6hQQT7ElgkDfIyo2SgoDx6hIEpoHOSBujI8ntVK0r/u117ou14GJzUZt1tx4dbMXWLIXDciMi6098WuTVoLFdnFqiVKFGqDa3rvam8OTXA5+VEEJLE+qAw1oGoNn1+Dtc9zobT0I1huxfdXflkmgWF1lDEAooQH4gDM4YP2zra0wZ877MUJGOrTK2C6V5/rDgnCcoUPvZFEHgtatVU0DxoQxy0hQqpSA03HC+TwgRsXo8nwDnlOsGFLBEAuWKeN8GqEPu87oD0Cs/T5Dtu11MTfiotY+DuYuq+zNG7WxqOIeKr8tTndg2oCMVppkj02FZpfiQOJSIedMU83SZfl/+NMv8PnyPbx9e40fff89/vev/hy/OH6CL37zEjizRVCYBcvLCr1bUGVA+CqSKBiZ0K83CrxYUeIA/cA6SwIfaG7pbkgaZ8HuHVsIPfxRxd/72a/xl+9f4ulXt2bgx3Pjxasn/J3XX+NpnfAw7/BWDljOO4QF0BtQisuHbcDvJjasvp4o4R8fSYKdX9s8O/NrZRSswdjBI4Ga0yfBzmi090pH21dGNGUH+18zAcUq0BMT4fRswHUEyZ7Ne63XEfl6aO3RyiCYX/Ln2Be2IJ2A6885ro+fReSDzf0sGJ6Aq1+fka8HPP40YL1S7N4JhmfFcNJm/lZuCuLtgrpEqKkHx0fOSyjXynI/4nGJ+GJ/i/srBtE/PNwDQFOiBeH4YlRgX1HPEdM3A+XDr4Cb2xMePxyQngOGe8Hhq4z0XFCmEVIF86uAcmP7z8LzXu8H2h/sK+TAg2V45s+UnUJeLqjPA+JTwPDMe5PaQYViTHtNfb23enp7ZMU2vPK3y3H/yyS5W2lYiIqS2FNLA6Wdrb7KZDuNwSigFDBIq9nzVhG9tyCalEA+CqbqxASuDAF5H0zyQaRwfjm0/quh2OaUuPHNtwYLqG2YM127eDM8pPOeGvGwVgwPaw9s4BJLMaaAwWAdI4CRyaMh55Ir72fg4VIT2ejeIxON1fEWAL44QgBqAdWEGrrRg9VE+oT3fsIuMWpjVxXBkt4ykPkIWq3eURsC2mRLPq6WkHMzF7gbbKvF+cDel/5M1nHE025qzyQKnd6CAMd5wLok1Mp+kSiykYIDiEA4s1g/FDQGssmdzlz4THps3qxAgCA9BZR1QtpY++c9kwuiqRZgDAEiHT3ngThCY7xkSoPSQdhrOY9nSN1kEf6yJKyOxrRnoXmN9uugYsASKjPXKFZjXe1gCr7ybKGWIQCTOeVWJYPpP1IVgLkVJ9aqlx3rw72GqybppgtiTEo/J9qzZqsKbcm1f/1bkmBPcEU6a+pfi0T3JRsTPCSy4tbSq3pLGtlI3jcMQkvItuCOAmJusE3VoFbqULQbgo2JLFVAS1rcKOWixnmwLckTfmd3LejjevRs067Bgmg3kvAcwQ0wFpvLLtNfckSuoQ9dUNSJrHaYmbh7u60WKKspW5xFqT5fCNCMD904owW4NbQ+c742xObiRQK5Obhhz0UASty9bnTLTvq4bJKFJgO0FgHVanLjJijlfDXlQEYPQNyUxQAGqgv4Cw4+Qk2JA3SJJwhIVoD13LE/l9bvUwJk0AYCejCv4gH/ZjLZuHEPCzyLRBCSBYQu6zYpcJPENzVN6EnvEBtbGhZzqHcQcC2sa98PyFdDuzYAVOkEZ+Y/Ui4EshklkJnZ9gZvLDB8HLH5THsGY6L4wFvSAQSe4D26fRzEEnH7vSlSITV1r4qyI+NQR0tOi6AeE0pSWKcK4jepohbhPm5zrSY6BbsxkkZz+7V2ONskdftc2IYDLbHVwGRZE6wFCX+mJjKh6Uy5n5v+bCW02ErefS5vW6G5c/5HLylAOAesg20UKlANZCAAyELmzmVyDgaIzX2xde2GT57s+V6cp+4FEpaevBNAZhyzncNsGeRn2Hb+uxEPx8zbvEiVNscvxsTGd5uUrzcRcohwo87e5slA5qo0lEPs6wHAcFJU64zResLCrnuy+8k2RiPP3lAAmYGtgVTIaK7O654J3nCq1uJI2nvmXUSIApUJUhXrdULZAEOiNA1iOZASyN8NWK9TP2Oigwk+lgQFwilwqlwRvBFRmyq1tVRxeX602tznOmCZE8oSEB1IiLa9FqGyTIzdMiDXGWRPxCiJFQJYAMFKcyaP1kYnnXyOOJnCNV+jIl8FuvNv4mYy4VRVBe9FLoDuEvTlLTSfgS859u9OVzgvI/Qc8c3jFf717vdwv+wQdwVFAT0OTAxnQX5k8sF+s4p1dCNFQJ8ThvuAq885z88vBevtJpZfLVkE8PQT3oQswL/7xY8AUcjtCi0CHHkeLDnh/fmALx5v8PD+AKwBYeT+np4E4UNC3inKnnv7/IJzPiyK4QOVJGXi5x/BVj6+TsoeOL80v4u9GVeV0BLskNkKJx1h5Aq63HwVlKiUXA8KPdhiOkWEJdh65LkuxYDfHUHE4w+DJYDo+dDCGDEfgIcfm9+N9HUxPvB6y44M5sPv75uCo13nifNifjFguaXEfBwzzm8nDI/0qMl7j5Mpi8ZQEceCpUT84ukNzmXA2xOL+1/uThhDQS4BYSqQqEipYBFAh4HA8BLw/LyjeZQxzqfXEeE2tnaJGpjv1SwIZ+Zf5VCBZPvMmWq88ytphEF9O7GX9l6xZjpRQ+keXUdXixiAcJuBLEjfJKooIqBBkY6C6b2inj+KWX/L63dPcu3g8uboIRbKhw1JzwqEREQkztqSIwh6H7dorXts0wfYU47SxX5IhmxBiSE63kKojKFJgmBo7elNwHzHouZ00nYQaGABc97xMI1nwfhkSL9tMm5YtV4Bw7NgvF/4fXcYBJrcx++hThF1jGzG7QxargzkLAivU2B/QKtzANBUUrIwcS0jexeqLaBgm0htyScTjOQGDnuOW1grET9BY7zV6l+8LoxJWUVr5+FB0EdywyYTmwLKgFaPKlWx/9olO3xupzHhtB8RUyUiGiqu7NB4Ok1Yj0MPxKuguepZEC9ZsXtf7JA3xGeypN0cQvksOGYhc3ijNapuc1Co49cADI+C0eRVZQyQ2FtM6RCg+5HyWpeBCZhEDQmYRmBeUB8eUcv529NdYcgs0cOwRKoFLDFSQQ++3QVXYps7rSZLwkWCUseAMlGeH9YKQW0slKrNgRSQD2wRkvd9w63RGC1zBi07O2QsKAzFEtwFGJ6YbNCRURDnwj67Pg4X88CCoSEA02j/b31BLYDEkHi4OrgSKYHf9hF2gMmNSzQAJXQ0u9v0916ObsIWMudirMog3ttGFZoEATAQKbYkymXSrP0KQHVgx+pAl8qkfEpdVWH36uYzYd0kPcb0L+cBJXGsRMhc1RqglUAKUmW8HBX1TCgyeG2fGX6RWbEE1/acOgaoBAxVId/YfnjFACOs6LWvphKPc5+LPk59ItlYegIUCTzQ0ChvpN+W+ErAti43WOliWAU5mWJiZc88wII4S34djHNwTey5iAIogI40KoEtL6+5l1NuvVp9LJv7/Cb5ZjmFGNtjLIbV7njACRAMc2arfb7tC3ViVKFJURuLpK0MhEBlgcy1AawuXUZQlnpMEfGcEZ5nSAg0RRT7vdOMsh+w3FmJgeVT3ibGr4nzG73EzBht9mBVpJaYeyaBDqy25CIwsNfU6q9dYaRj7D/jZzJMrQCCrmUXsV5vDBknKmWY5DKok1WQ5og6KjtQJcVwWJGGgvk0MGBXrokKgthumBYXQToqhmdPzu0ZbWqe3XtheEKTtjb222rX48xnWM2VP53BFn9eMmTKJi9JaP28bb57r2gp1aT7nOu6WSdSeYZAEwPDgWu82hkVz0xGPHEJAmC1UGfoZ2AdGXhPDxxz7/9bR95bWJgswuZUr7/kPF6uOEfGp2oBYcBy2xMHTcB6ZXPAyqYc3BLV1hIxeF3g2vvZcs4Jzi/IEo9PbDWkLTm3ejyX0o9cR/HMeTc8ZCAITq8T1oNs3pNnTDdOUrZi2it0Fgzmf+LzNi5sMZV3gS0E1cwrPf6zhK7s2c6oWvySDwF5MmOuucKBbN+v0hCw3CWcX0STcJO5jmfFkFnSsl7zeaZnQV0jyqEgJs4XVUGMFTfTjCgVRQOqCpLQZfm0DshzAubYAOOmtKl8NpTC8lnkvUuZjX3N0kD5EgEEkzKfyb6lI6zMimdzMbDJ9wgy/JcqrFB4nzEo8vWIsHQAp+wSyn5Azl3b+eFhD80Dwjng9HaPf7/8AMHk2GUMyG/ZQiY9C2QNSEdpzNv8wtouKZAeIvZfC1786RGaBM8/3OP8piI9B95/tUT5AKx/dMThMCP/xxe4+rMRzz9S3P7xW9Qa8KFeA2vAukZ8czzg4Zsr7P9qRB0U85sCTMD+q4TdW8X8UnB+zX1h/qSCrXUCphMT03zF+bPc+cTk2K1XaM7HankIS6akrcnxHrj+vCDvBR/+IKDsFOnZZdpAPRTIvuDNqyfEUPHl5y+AOdg83azjDCAqwi4DP11Q/qDg9Dhh/M2IaCSNZGB+DTz/uDaDrXAKePEngvFRsV4znluvFB/+DizZ5u+lk2J84to5vQqYXwqubs7Yjyvq+xtc/YqqlPUGqFHZySQpwq5g2q04LQP+/P1rHM9jMxt7//KMacwoNWDcZaRUcDUteIwVeZgYb50E5cOIeAyIM8/b4/f72cSzhslxzQnpiXFOeZlxuDvheL9HfEfw4fz9AlTB9D4gfBDMbyrq6xU5RJxnAz1eFehYCS4ugnpVcPP6GefzgPCbAeMjlZR1EIwPwM2vCsp502bhb3j9zkkuFzQ3rLoErKcBWAxZcvjL0akgUNEWnLVekCZjgCWYAKDO6gVpV6kVkCCowZNjaXIyr01xCV3ry2cDIzZxgI62ucU7DYrIlooFoq1+OErrhdgOGKCzuej/dvYCxjTxwro0rLXl2ST6Lj/SqI1pbu/pUrxkb6eAtyxyk4CLes4NU8aG6rhgODRKt+IHGHwMm+uzBD4utaG34q0JNkFLa3disrQ8JxRrB1JVsB8yBiFayjEA21AoF6EaKq4V9jksmmc9k7b5EooizYxTvLaijrbB2M9csFk2r5y939al9jEImzoufy5+fwySREwGtDGBCqv/EcQIMsGlf623QUGT620ZS0ea/dlUN162gK31lmyyPGkuxVtDLGf+mfw6475hFTbBf1hMUiTgPVU012oHGVhftpG5qzJh1E0AvRmzXr8X2CfSGVTYGDqK2WpreT91lC6vtiDBH4DCAjVloOnumR+bnsjW7EXQAn2v8dS6qX02CXaFrQFvAwPwWX3UNqntUdu9ypHzzA1c14CiwCLp4uK0vxHrraolN/Z5zdDC37/NVZcvMjhzSTCAFiR2A46PfxdNbdFaIQTgW4Y4bbz83vuiUFXKRTatVcKqwGzPMgh0ELv/vrYu6sehkNRVDBql+SSpGeowGA+mxhCEDZPUHqYCgs0zAloiKlXavlOsxrExGz5no7kqZ6uX26DpTBx1s+/ZnPP1VgMk2f5uwF/rS97OLYH3IHZZs47ciOoY0YESPif3NWBCi5boOYNX7W+WA/ia73sw5LJEhg/H/5auQvjo1UtNTH4KEGg192jfGyHakvDG/q3SFAKSBZJpasX9PaCukfNbbU4aso4qXc3lSbxu5sp23IVBv2zy0v6g0OeRX4d/yyTcDoaGvGmP5wlI9Hlqz9oc0/kRCgl9nrfrMTauSWGXwMTZGEqg780OGm5Nnto5budkGW1Ohf6eruRA8XXlv9+vw/vf1hE8I/3/LXD192E/6K56cjPHfh5LAzuBTazhH6U09uT/+xcv4w43U6Mj+eY6fcw2exJrhH2vlIuz9yM/Jz4/9yUIHbhqKjbbPxzo8RKyrQpvuz5dFdfnm52lpjyrUboaInCuahHkHO2tFLUG5BpQRbCWiKqCElgvX/zciGosoUIy2VeCygLJitj2cmcNtQGl8SxcbwE0uKp976rJnv3OJM0ehwUmvB4nb1VAcVWkMwkNXxdegtZkF9vyk+OAMIBArQrKOUGHAh1Yk1kHK+W7UuTbgrIPCGugwZnNo7CCQO3iZ5mfOYI6KB1vLaGLETjPEUsia+lA7fu3N8TrzqS0S45sPZNpPCTR92OCBcuNYH6hWF8zgCFTKMh7a6szbIIDPhp2ANg+7wHIO18nAl1gSpOuLOD8A+Mxm88A6H6tgvfxim9YBTq6gVh/TgAQHiPwFLHeZMgNv1kHQMXA3wI6z68gm22dF9i5hNcz3svF2vL67eVOoCGyLnlHYLKcCWTEs9h9qD0LesZAgXUNyDlg1UgssEQaewlQq2DNbCGVUkEpAd98uEaZIwbLmcpeofuCWsA2oKBnAgSIRys3LIKSI3ThtfhZkiIfgpcpYO3ng6vidA0IM1UDJLsYa4QzZcxQ4Gk8QLNQHTyxbCI8mvzZz9W/xet3TnLTrNATWP9zVOiHsSVDZSJqguKbwmaDLsB8IHo4HBXjXFEHaTWYzoLVCajmUtt6qtmAuSQzLpWDFYikOlJNO3NFvq1AYf2B5D7gXhcpVTC/TMYGULqcm64eOH06Qgo3l1aDZYPcJJ9exD1EBv8APmYlHEFtzFZkXTJfAXHWi7qkPEkLFkMWpGNFOhXkXcT5DU/C8dGYOEsoyAgymhi85lB5kNQx4PzJCBVpbEg61c6wW+3b8O4MqKLGA9SSdI0CHQXLLZEijbx/yQK8G6CD4rxLkLFgN2T2yRWFRIWkinHKKDkgnwNqDLbRUKJxehUQV2B8IljSav3mivE+ow4BcY1sY7S3cbQgiwhiPxBUiH6lU7XD1uXYSglFCihxaEygqLZkCQGUg48DsN/x3h75rfGhAtesuUpHwdCMW/pB5KAF+zOImShImwdlooytBRTKuhKXunnteNlHBpgfOXGqS4wFrTdoGQOWm87ksuUEf2f8IEinvlbqSOmx12tJBXRviUemsUFPboGw2GGqgrof+ry3a6lm8tR6Ma6lJaKaBHkIyFehtQ9RYzK45tAkdwCfTzqBxkmboNMZC030I/SkUGNAnqzfZ+rsLhH2Lq8PS20Sr1abaYZbzb3cksMevG6YmFWQoKy/zQx6chgY3I/Ves0pQZwikLOZ3Z2lzQ1nqcogLCdetAXswepDEyyYjgG1CuKJkns3t6mReyEAk/bz+uY7SpmH59pYb0kBWBXNjKdNIL2oM8eyQk8nbFurjE/cGGuiCdU6BzRkeRNsASbbNKbOSzkAtJZjzjqIsucd1Q2B+6yz5f522hOY5g5faRwXomCeYjOiW25xkUjFxcxQTC0Urf5JKluVMdAXgijoQKozQq2nuQ+TJbENBExitdxEG73X8/Jqz2eWpM3t9YqfFxdXIWw+Dxw/77HdE3CglHAB6rCsIV4kH37+6cjPuzD9snv0xDnOBWE2hcaY4J4V6Vw3AE5APngy53IwS5aKQoolOY8REEVIPSnUSaEZ0FmMNUWT5briJlkdXJwLZK2oY2yeFxqCmYkYkKe9VMUTvni2MRSyevFUMT6uCCvbT8maL9qAaYhQVDK7ywq9PrQ+6agVum6iIrVzbOKh4XVx6Vm63Fe5by03vK+y64FcK2swoHa55px02Xc6siZZA1UZUsnYsQ2XtDMumLPo6TVBoOWWAWbZV+hVIeg3sy4VlcqE9NQlruMTn/H5Bc/9OmifW4JeemF7oMto21xqABBayVBYqf5ar633t4EhW3De50k1Ft9l2dHdYQtdkX2d0ncC2N3TWCfvBOtBMJzI8rb6+sgz3uuT3Ygy7/hc0pnnOuWdsfUjl6KIdiaeX0S2+LNzro4uyVdgCSh5oGusqXKexgkiinlNTbLsazINhbJhALkI0oeIdJQGXMaFzGfI5vViZVEhK3S1WvUkWG69NID15+w9yrFhYiIYnoH0xOSsWovC3ftqDDXfOx0rxvcz18T1SHPWc2Z7sEAwOpbOcE2/GZA/E+h1BuaIcJ+oKBwLYqyoh4pFgeEnz/g//vgv8OX5Bv/h199HOUXE9wPi2ZRxD4yLy46GsGFl+8T5TaE3yhcTrj4X6BFYvhyxHBJCUJw/BYYHwc3/e0RNwPkNnYGXNOAEcG77kTRUhKng/BPFOQe8+MED/s8//Av8+/c/wG/+7Q8QFmD+QcZwvWD9MJlJks29wnURVpgpKeOg/HoFikBDQjoLrn+puPoisy2VydmTuTTnK/6OVGB8G/lMT0zWn39SWE96mhp4XXZ81nf/SbB/W3H/8xHPPyXBl28LPToOGSEWlM8P2H0VmlIMsLZMe8HuG8XtX1WsB8H8MiAfyPrqrmJ5Ix10M38f/XqHkgV37xTTY0X6omB4yljuBnz4+cBWRYcBcxVgYTJZDwU3nz5BAByPE+ZTxOF6xu3+jM+/eImr/2WCCnD+tGK9K9i9OeGT2yd88e4W67LnXH0z88j85a6Zfi0PA+JzwPSOcdqxCvbjisegTS2z+4bPaH5N9j0UQN4nDI+Cw5falCG5Bhw+F1x9UZF3guVuQpmA+ZViva54/T8KXv7HZ+SrAedXqXmj/OdevzuTmzvL5VCURqAc9Ns/6wmqvZpMyQIBT04BHkDOhvXGzZagulzJdlDfwJu8zYL9Vsu5L+wjtUZItOvNHq2jJXG1bhIOR2uiIAc7ADJt/tXqxmoMDbFtqLslf27askVRt+0l2iEx8DbKyPHbGt/49RHRvAz+m9uYAK2OOfT7pqTMfwBwtNnlYS4LD6s53zoLYVLUCwmzHZh8TtqQ5m2yUgEL9gJyCVhLbAZU7Va82EwUrebNx8GZqW1AWEFnVFSElvShb4obtNzHqv22yEdf6M/Fv7c17sLm95goJAj6YeFGC0TjwODegpwt8NKftT17Cz4Br2O08WyIoJp5gCI4MxuNAS5i42zrKsjF+zlr62oEb6fkTdJbHbMCCoFqZ2+kAAGGinrAtTLg7Pb/gbLWKOzZux1bZ56kX8+2G40H3MWlfWYE0kwEtoY3QGfrLEDetoXYthly+TZsnFz26euKCTBLGMhObwCyqghBLxDp5pzufwRNBaLJnqFKC8KhYooS+30FKySszk6qNCb3Ym76fW7mDOkatOdBuS+fixaxEoX+DD9+tfrNcjl/v/Plhjz+qgpopbpi++ury6kp8S2rgQXNTGazN5pMge0hemDtUli1c0HRwT0/A1za3MbI9p+WQNhzF7VLj5va0ckvoO8/ASSkJV6Q9GjsxiahbNuSHwFJUNH7rdM5nGtvazzVWmXZHwcUt3XC3dVVDMnvnwvDAhpb6Z/v17d9Xr7n+zNu46JNYSQF31I3tFZdrT4dXbp+IYW267A/oXQxir+ZRG3so6g0c2INynOuaa83SdR2Lm3MuYKV7tTq3hl9vm/vr6H9/lJ/dujIvRtMNaMpbfvixez3MYiAIDQ/C8DWmzv4OMtqf0K5fBi+H7a966P1u51PZUTf59qZ6fsSmvrmonUauNeUEZROWwuPuMuoOZD9AedpgSLG/osXXhoBxtJqjzMUiO7A3ECQtlz7+vCx9v9t8YJfb7+XFluFfvY06aa9Z2/X1cdje17W2N2j++/YZwzcg7n2nRTg43T1SHOo/zjOFTsLB+nO0x5zwM4Zn1MSUKtiyRFBFGuOBJtcYaTSY5hoc/tvYo/s/ugkDlRQnkxAUwgKRbTYqc0r+2/1shTf82t/z9ZtIytkydzkNnuaFIX6ZNw8x9a2MXCfD6sAEsjAefkYgBgrXo3PmGvCbr/gjBH6kCDa55oGsZrojSolKIahYN3E3GEBQgxAYG3roEySy2i1tQWQLKhrV5VVB4sFbDsZFVfTgtfjE67HuYNvE2W4axptvqPFgx8r+DQoZLB9Z6fNwzJkJSM69v2a5QesAY5nYVeYjAvTtRC0xVkOVEDJMI6PFekYEc6hlz+IIg0Zw1BwxAYoNmY/7/qcjUtFmaK12BKWjozcHFUBXWwDVDFne1MIKO8nnFeEfex72AqUtYNjAJBCvZjbxeN0q/1tqg1rCRT8sLYNWiLN2XxKhELmNSybtVYEpfI62885mB2sBKspING6RWxjLK/hH54AVDEwkmB5OGeIlcd9V3z1Xa/fOcmdHirCjjKUhmBZrSBsw9JAZHN8ILJbBzErdC7+5UZwfp1QB2C1xud5H9pDhPKmxyciJ9EkIUxoTepa2efr/MpbzxBpKYeKuGMroJKULmbvE8Sd2e5Zw0LGgci/962r0Q8f7tR5J42JDhcBOheGuxcz6KpkI+B1iLJZTGaKMAHrrRrjLNbgutuzN7ZuAgAB23Zwc0tzly2X0ZOczYYUiWgy4EJjBF2aGm3iEVFN8MbwZVQAB0AV603Euifbmg+sY1Z7no4Oe/DBzZxI4n26wtO4Q7EDWueE+d0IyYLhWTrAYBt5Om8CdXGmf1OT7YZARTmHFtZ+5CvODTUFdkOVQal1Oin277hxugQ3Pa2Iz2sLwAC01iKyFtZvhUAWoETgC7Trcsab/UMvAw2XBveDrgezebfdTOkit17zd4cn6Qs+A9XcfNWclum06cGqy7B6zd9yQ/VDMZMGjUCdKqBAOqYuqV58rnIuVKu1rlE29xQt0Ec7wABAcqX8E+iS9lKZNJnpGZmureMzsO4DW0A5O+OBkdj4bPrLkVlxUxIy8RKlNYhv7KElrU0KamugswyCMqA1g3d03wOvdK4Ynky244yY9rWQD9w/ljvtQZiQBdDxcleV2ZjARKYZG1mvWl7R5kM2FsKVLMbgqsl5Q2trZvtaii1p8X58HvgUUwe0vShr6xXLNY4m0UQukHk1FEkhQrCD0lyT5m/uaXwsDE5GQM+CEe6j4MlMBwG9nYkn1tWY8DrYXBXFCg/Q7bqKIKqjtyZBNYfYOgh0DC3oboljpHnF8oLz3JUKrTRh8bOHe2fI1udUqZxo55En2F6WYpLPbFL6sCriyZzQN2ZJkpVs4DZ7NvR5PYQmO6sJyFe2VkVbLZODXc20y8zy4qrWQqdf08VadwMin3ZurLJzN1+0e3KJKecBkK9oMuX34OvEyweYkImt9z42nuypduVAnN3PwZKaKDTeq2ithNrZtZDB7IEmz2hY3TbsnEnHyqBV6VBek521GzWXB4W1smQn7wPwaoTkAeMQIXNBmFdgzdtIFHrYUY0DQE4LWoK/AXnGR0X8SlAekzGI2uOVQWl+s/bkuwWnQHumeYcmKXbTG16zNLDH5zFAXwlRYDIGpia5OEcANKAPgelqSBV1n6FVkMdg5RyUB4aply352R+KgXiB18XyK177ciWY72KLqUIBUtQWoDrrqFex120PfT3nA7Dc2M8WsbOt13KTlebgbMsbymSkgn0m0OJmLNe8JgLavO5sNY9lwiXhIIyTALReov48ahHIBh3xPWC95njGExODslOaElpsWWrEY94zKF8CAa6hQlKF5gAsgfGc7TF8H+4zw7O2OcGkXNs6cLWiBjGjKk8+eONbGbnXUwNoScDwzPdKs7UqSoK6A6QG1D1N7srkTHugYVckwrclF4oBgrrEJg+NpwB93EEUuH4kI3dcbvF/P/4D7sNzBHJAMmn5+Y3i+UeKdBJMb7mJrTec85IFy4cJmCre/kP+Oz4HxMVi20NhexnzmKjWckgWgT6wHv70o0KFCICyBMhjQpwDfp1f4787/gOu158/QFWQzwOe7/dAYL9c93mRNUBKsD0FiCdLYqtAUkX8/hEA8FiuUKaRTO+ec2x5U6BTwYtPnvDp9RP+9FefYviPO9QBePy9yrP/2vw/Xi54vuKHSFLUOWB+MSCsEZKB/ZehxVMaFfk+YUnA+BDa+uYeSpWpDop8LXj8ydBIlLLj+gcA+TAgHS2pXRh/L3cVZVKsVwFhCTi/HKG/P6JMgvmO70+mNWJ5UzB9/4haBQ+PTK5iYl366cMO819fIwjw+HMm1KJAOEYcf32NX4ZrpIeAw9dUK53Pe9RBkWY+y3gCrh4JWnrsnR4ivvnNHRAU+ZMV5Rgh2Qyovp8RrleUbyZMb0PvFJGAfFVRXmQ864D1mvMnPdlY7SvkkPH4kx1qvLNzRj9GZX/r63eXKx8rcOIBwWCdKGIxZGe5pTmFZAauALqMBb4JUoLGAJ0Pt5oNvgfCEEE9AcEOc2eRWr2LIT3rlZhbmdrmrIipmMeKEhm9T3B5zfBsNvu2YbqxSdPGp97Gho7Jvd+fo3bS2iQIVANkrQ1Vdqbr0uDGTSusJU0CZKdANXmp+PuLBf+8vzL0sQuWBLWax8HkkA40CIOFmnofQ2mHm8lgVVF3gYfJptZkrUwk2ELA6+CwSdTIOtL4SeFxrqysL8uniLx2+knWgOExmKOgBS5WR+pIlGwPP5fhWYLn84QJsTH8xgw2lF99Y6HZmaNDNZpMUYx1UyAs7BEMMw9r7WYK3ad1SNDdAC2XqygUBnEAGhru8ziUj9guk0mrBf1l2sjkU5cU89DjADojFhderweeXfEgDXzxxJnziH17y4HJG4ZKBGww5taDM+3X58ltqwMGALegLz35ZF0xk243GOJzYu9XjSDTa7XVF2oBcxily2EfLxU0NpxBj6FythsxWbFgwJONj1C7HkRvACkbozIyEYAC1QJVT8AglMtuJfsuTyzuOOs29pu6H2dYtuMYMuuEqhJFFwvk/Fo91mjM+SbBbddvSXYo1djyCjGDJK/hd4m3v6cmklcXdbIbN224MZhaXWY2t7bvegWfBHylc0E98LlHM99yBUcbK5cuRgAVTVXiygF/HtJkzGg9vB04gXAObsG81j/Z17R/doSBWmzZoJMl87UH2w6CecCoNqe7NJSf6YBDV4Roc4qOAQhr4L6zfXbbkoFNTuJJiq9vX4+AMUllU2fnibbN/+DniJWTbJNcf++mujAJv8+HvJNWyuLz0dnHdK6IUFQJl4zodiwcbPP6s82c9aSibH5Xss1fBVnFQTuT7Eyvz/GibT9XEYj1usTGP6PtjQUIg3YwI2ySPMDqMxX9LJbWRSEuid0DSkE41waGaRRgiJAQaLTmPdGVz7XN8xMQHxVlMYDCJa1XyrLJioskt7GQbW7aM92xrrEc2DYNz8EM5fpEaeeAzY3xwc/ojyaU/9NYLQBkU4ZqZxljhDJGJtd+DuJyL2gy+Q3IJsq6tnzogJBmA2ZhTAz6vHBwifJ8fi3vgHzD8zKebV81F1ppKgdFLtLGLxTYWWQ/70q53GO/vOfPurybfZFBhYz2+2ICjEaaxHkD9Ig2IMv3KY3YACYCFAMrFQ2IQBYmswrIEgxUAffiLAin0MAcl+R7HNBKgdwcTvtaaB4L5ilwwcp6rOPRt4EGohxv2OfEtZdwYOhKx5pCO3Pd7BFWfkOFWJ9TmmxSWcwaVv6dzryf4dGS6CHgFHcERkbtsYcA5boivTpjPQ3wtm+cG6wFxTlCrzJu3zxjWRPWv7yGLIBGRZgK6pjMkdhiEiu/wyoo1xVyu0AA1EwQJ56DOTUnPOcrhJsVf/jDrxBE8Z8+/xT1HIGxIl5l+rqUAF0M2MzSmcLM5xiC4tXtESlU/PrVDvGULOEm05xenbHfL/i7n3yB/+r6C/zm4RZVd1zfrzLiriv6xv2K4fZMFnRJyMo5xrIPxfAoXeEQCY5oAplSLjWSaAPjNR0V5Yrfik/sx1yHvv7jWTA++LNjHIUXHNsyMSFeryi1pjLUfu/E57t8qvje3SPeH/d4eCQSN9xlDEPGcjpg93Vgsv2jmWP5bqLrt7HF6ZlEYAM3h15Cmc72veB15dwX9D6h3GaMNzMWGZCvub7C9YqrmzOePow8g03Fo4HPIu4LShGcx4jhkeZXKgCSIg4VywvGRuMDsP9GL87lv+n1Oye5wCbxiB1RpKzYDz4uPrblQbP+dvORvEdLcNcbBjDxyIbS0ZAa37BCMalW7VLL9SDAi9CSnPa5ASi2YakKE9zMSZSvzA1uZ4j/zpCkkQ8rW5H3FoFfIzejbe1gBXvtcgPTLtkSsMVRsCblhlJvETwy1MKid/t6MWRYMjetLVqRD8D51QadhyPHzqTrZdDvcr9ofQZTD8J6FMc/zar8IzYKNqHraCzKLaOdujBp1aDtOsNiKOs5NNkDjUmIKIqZVDi7GE+2KCxO9eAonivCXJpTbxkD1qvQ5L7OIEWTknjv2n7IUH4RV22HTpxZTy1r6eydtzLx4GvNwHmGrAkoBVJ6C6F0LKj7TWCi2phJwMCRwc1vgBKtV6oj046IRx60Zc95UhaT01mvwDKBrGAFoj3biwBL0CVnW4m6G6gAwMrky+ch4GCMB//S3LG3bU/aulUP7PlgKb3EJqhWhBJQ4Laj/XfI7AW4UZBLezxw8TfRIpABqJklddsgoOyAVcnqhs0z3N7PNhDOO2mfU6M0lBaww9QTQeW1e+/t/nD5pnlPdYADB012FDc/3IJek9fC7tnMqXxduelek6j5H08mvD7YN2pVsuJTaOUZIaM1p4clt70MwqOqbTDtia0l0vMKbNoHtXluLZ5o1FWwNZ6qGz8BKQRcnIkCesBZXVqMHvRTXbC5VwdvNnG891LuyTlQY7xga7YyR3cOByyQX6VLdMWCw1YPZ/Pb9jy/Nj9z2Efa3KmNEW/AgPSgW8wIkc+1AsKvce3R1KwxZ6ZMqj7fRzAxi4K1dNbHr8FrsrRurm0U6IsEVyx50OzrksFmX/Pe+mc7Ts4kjo9kazoAi7aG2jNO0uR6y60FZJZsMvgwafk2GP8ouVPrJ9nYSkueqxkfBiiGx9IUOhftyoIQGrXyouJOzzu5kKPnnU8Gtb0QrWa0e2MI63JLRTgvTGSbTLoA3i9aFduWcNN9wbqDgS4bsMvq3ryNkbo0sc1fY6OStkBZjQVWZdDs/a7DwDMxnYBe/28M455S9/WwkQ970niVEaxeVFUQhECylgDk0Bgfn9/bRHy9Zm9OPmibbxlNdtqA2G0uJLgoJ/C9PC7cp/PO4gbh/aig9QflPOCz8B61vlYh0kwmQwGQgeAqoYTmMUcTm34PofB764222lov/apmfqNJUE+b0hsru+oAuilgUt9YNG5AMgdfrOYZVZp5jibhz2zKgqonfpbAu1x3q2zZgt7bkqIGrhUgD2jKnDpqk1xXI3IaCD3wl9WAwnim70ycK6X/i2JyoCQK1lfOxAAl97A+ngUyC1sYWqwEAZaXvP7xXporshNHvHcgRwBZgOsV+/2CYcw4j4Xx9BwBk6vGk6CEiONxYpw9VWSTq9c1IFVPcA0UmuguHFdAHgPqcYe6r9h974iUCp7THvkcOdaroD4N+NPffMrr+zAinQLyNVCDQueA+BTNKI6fsd7wOdeB119OCV+ttxyPI8/XOLPWuA6CM/Z42E/4/9WAX9/c4fl+j53N43CfUM4B05sTbq/OrRSvVkG2MTj+JOP0mVjvV5grMue1d0JosV8iWFsmhbxasNutbLNZCF6drrkIZaS0OG/71RduEumJi5cMqrT9Ox8U+v0ZIsD6YUQ4C+L1iiEWxFABi0/m5xFLJIs+v66oO+U6EAXuVuQiiO8GhJnxx/EH9iwtgQ4naWvWia/eKxmoU8Xu1Rn/9Q9/hV8+vsSvT28QloB6SnjMB4RCozNvrde6gpwjZA5IJ/M0yYxBDn8xoA6DJdPE7NeDoF7UJf3213+BJJfF8PEEWmGbkVLTixe0QG+94kPxVi+e2LG+jg8et0RNah2AWdqGTkMdJm15x027HfATE0Cgo68hs3ZDsrCZfTU5ShHoqMiBaIf/XuvNaK/1GsjX2jbeHuAbpb+iJaCqvtla/VGpqNHkm5FmJI6OeqAAWPJ1FoRoshJL9MuokIUDE7IfUjzAXIbpqPn4YD1mFwZHeQpYdv2wAdACz7x3ebRyYgsQjmYi8MxkvxrC4kmVo3YuExzuZoRYkVcuzGa4tUTU59j6v4mZLnlz7bpXsAcfZQrpmfbpYq52TaacFfGYEU8rymFgk/eRVvrcKHo9SHpmUrJe8zPiyeZLYcIeFvQD+1TY8mOtDDiyUuYGsHWQCLCsqE/PkJSAcwKwtjEcnhZjSgOqAzfSn+l8x+QqngU4b9AtB3UiD5hi8i6dyLbmLAjWi44BibC3mzMJhS0qtqyCB5Oe4DaZtp203rOsyWa1BxE96L+sXff5yP/x/6jNQW2JiUs8yxQRNgmu/02JFlptvP9xKXVnOskcsB+r9ECo8rNp+gQMR/S15YewyS19HFyxUExtUCbOiRbg1S657GySsfKKppTIV2wb5u1UNCnCNdun5DWirrZhVbvOSKdSR/rbPuGJgCidhNshYEFMEJYy5IpgPbVhb6mB9SaNkREPpPkeApCFCHwfT4jb+HuQv2ZgXnBRhxsCei9RU5rUgtaCBVyz0uaMAsUTFDLLDcjQHpx7Unuh9rCvuSNjm7tRqNLJBEehneVwo5ltPV8vQeCzDABE3QxP2zoJ1hvT69Rq9OQKDWhar2GGSBtmRT1xsr3dgti4gAkT6DAsVQBTXXiLM2zXlcnQivX6W68px6VpizSGys8OLZ2lrFGwmHJpeqiWFEsfdzMS8jXvrX9g80qj7etBUSYGWmEh0u7qga26oA4cj7wH5jfGggabr4v3eEYrcahRGSn4e1iSC90kO65Uih08iMeMsGSU/dAcqCmJVniPZA+MyDLiAogNnlh5XWG1sqJc4UZyrU1WLpCnE1q/3CCGcCs0Z2CeLwzWprczcLNvUmrP+D4G0/LIwIqxhj/bria4QA8E0F1hLecgqKsgCSBP0hOI2NmXshMsN3avlnzWXcX+ZqabtdHpEmxN56G12AgrP6+MfN/Qklxgfl25n87dw0KqGVYdfY3Y/iF87jw/ejmWq6Y0sieqExNhtXjgqif3CJasJQalajW6AJPiYFtmaOoJtDIC76vcgFxY/BGYrOCTGbUKQVFBM4taZEIy/4ZgQHGceYaUiQkuGXp7nlYioWOF7ArE6j/LOZrU2gNroOwNvLfYRgV01hU12agDAhyneKFE6dPB9yL1JHcFsIMprNDmUCMeEJsyhS7Ufe+Mp8Je47lCVpqrybsnSFUsP36J+eVgZIe2Xs8AiQQsPU7JV2QP0+0CCRXH9zvEo4HilXtK2Gf2P92RHLq6OePl4YQhFkyvM9YS8ev7O5zPA/S8M9Y1IO8GTsRd7TL8OQLVSABXm00VONGgMTxxnzq/Dnj1B8/4ZP+Mb/ZXOC4DPry/Qvh6hJwCwteRoHcGSS+JKEkRjhG7rxmbZBvb9VXB+PIMXSL0aYDMAfF5aICIRkV8Ehy+rKZ0ZPvG0/EGf3l9QDjGpjwY3wfUUTD+MOP3X7zFl8cbfPN0xbV5jkBQfPazb/Cjmw/4nz7/Ic6/uUJ6ChieCBC7Kdn5hWC9tVK12wrdF3z25h6v9kd8fbzC03ni+A4ZuUTcP+1YN30oyClAbZ+Jp4DdV+EidvHWU+W24B/99K+xixn/01c/wPPTDnfXJ0wxM06vBA2wJu5nU0X9ZOHeVASSFNcvjoiiuD/eQT5E5GvF+rIACsTngJAFwyOQnk1J6sSdlZtUi21/+vod/i+f/iv8f69/hv/23S3y8wA50vgMQZGvFaVo67nLuRIQj4GtnM5oyuCrL6l8+/DziNP3uMfkA5U/f5vX75zkxrkiwHqGevDv7KetU9/AdYPKIwB5r12yAaDuFGHk7lh21o9TQpM3hMX2nQEXAXurV7ODRBTdxU6AMkdCg5kMmSzSXJabAZAldR5UNTkt4HuNBTTa3ItDhvWU82TBay9D21Rc1ikqyC4Vc/TCDptG2bvphCgQWPekASbLsqTFA2xeCoCekOqGbXGjlMZwOcoy2MHk+UlkEFUnxVqJ0FxI/sJmLJJCAovSVQtCEMRUkVLBHAesS+D7hdDkQgh2GFofwm0AXLlHQN2kRQQC3rua47FkbtzprCjFml4PaCwqpX9igSgag9lKtNYNY9Ycdisu2C2XJYtArJaLEs+e5PK9qiFzdAz2NBDYgDkCa5fTk6dmDDUq6sFQZJMUU+Yh7ZAJkUFaS1AtyVAPMtWe69AD3MZCzJv6oerodl8rW1nido57i4qLZNUSbqC3fXCHR6gnbl0u1jYqW4Pb2r/23jZPG6sBADY/JYKof0vYZMNy4tufAw88N3uAJfxlx3FW0QuEN3hCrWImKYb8uzxv2AQgSYFUEVPBMNieFLhWtBhoVm0OGEMrRdjbGDbedp3NrfXjlyfsANz8yssuPlIx9mezfT4FrSaXbrgmbWuOu5bUbue6/7soWd6PJD/tfW09+geqy1/FkhMHR3yP8PGbwORNOK/KnhfryWNdgZqZSGdI+zw35qleH2rzv0zSzgipBAfg06r0fdHHc3sfLu0uozGE3gLCx9CC7uhj4ueBKXOIOnQZcR1i/337DK+939Zuws8i8PPzjtdWLTEMkwXJFRcqiQaQeP2yAwo2152haoYpnlQnk74FRTlzvpOsF5M8cuyLdRzooJiNs8ISFkUFnW4pvZfLebc9M2RTy+s1qJbctH0ikLVvjJjfnyfsJmH2869J4H/LWvFENxRL+nzu+vvXyj8x9jWwfW3met1F7rOF+fB2gXbW3MbKWxb6ow9qB5d9MSpNYgACEsqyJRRjlq6342Z1gHfdSM3vT4V7yDJ36lgVqMVMgraGWL4XSp8bAOdDHSmddqdll5uL10+3xNfWHKSdxwnW6kR60kaXdAMQbd5oVCpc3GHexkKLKTWyoJjSS1f200YASunruzPz/Txiy0Y/l9gPFkGBBEioGG2cn5eIHCPCKfAo1U6ClKmfjQrYGcx9PRwyxh2D/hAUswzIa2D/ZxDAVpOFIwB1z82F6o4+/l5+4KB622O1n32+hgOkxVEUR4nt0zahCtpzctZu2/qoJmGbNg3w9mCKCJlG+iuU3hmhrY/NyxnqMgJ1x88rS+T5EEh4hKNgOAvWpIgjz7xSArGVHPHVwzWudgt+evcOQRTLElFOibcz8j3iIXO+Pg3WEqYCg6JcC86fmJt65EZXp4pcgzm2c4//5v4aT+epT/E1NHUgfVc46al4qAiHjFoEaoxeY28VyEuk8mGoUDApDLM0Yq2dGbb0fS+upmSEEMCGx1gAqrLN1LIk1NoP+K/vr/F4nnB+MuflYA7PzfmbBNV6bWzroSDtM17tj3g9PePr4xWWJSHtKm7HGUuNOC0DVgGWlb42sprJkxGGZXISxPcs3vcxj8iVBmpQtPrsMRWEmxXqRna+FxeWlIShIgRFFDOXuiqYX3PepA+x5z8+P4V1semsyHvB8Zb17nXHWP9pmfA/HH8Pf/L4feSHEeEUGrmmE4GmekwI7wmChJnngZN6CAQC2cqK91IHNCC7jmCLr7/F63dOcocPZ4TrhDpE1ChIg1gBtKNr1uh63EokuYmtrwrizYpqm0zYFdxenwAAx1RQckQtgpyJmqT7uI1j4K1swmruYFXMZIisWb0ukDUgvB82kh6iBN52Iu+MMbLeS+u1Gy0pylW1QNTqbk88/OdXROnTs2D3DdtW5CkgGvLHWYdWb5WOhtiNkQYOuy4bASyYs4ffEpmobMRdeb188JcBGkx2K4XBmwML3huVkjQGmmXcJFmewKgdLkHNDImmTuz/hpZA5GtFuSrAVDGOGSlU7MYVQYDb3Rmvd8/4+nSNX+lLyqsCd+iyRtQlQoaKYcooJaDMOyZ3IyAHabb7sINWq6BMsQUUcS4IpYLtdQKefhhR9tJRWqFsGRoayscFIcBJMTxntljyACdXyHlh8OW9I+eFh1SKkLtb4HhC/XCPWjvyDzWG+SxYbwbUFE0Szj/OJJWdYDn0sdPA8a8JKC8y9i/OlPRYklSmwo16DdYzTgjCVHRDHQvmt/IyJhxmEGRN5ofH0DchtTYTXpM68mANFoSXnRkv7DnPdTN3ZWWgnA9ivdjISMWFCW80cznWul0eGFyXLrtGe8+wmlxsQGOwnIV0J01/paOgNRiGXiRCzUnZEkSvL/SNP18p1tuC/adHBA9OFZjPI9Y1YH1MKB+IIg9P0uRtGoD1SlEOFiQeMmKquD7MOIwrcg0olc7h52VAKYIVNgZRIbGizhHhORrSLC1xCcuGjVLA3eHZA5yBixv0sNRA2twBYFLZPkDOCsQzkeLh5MZVleZpzt6mjT7aB6IqkDPZLbVEVzuTK0URz6Ul3QzmQg/4HagL/ozQksl8bfIqC77rVBFuCBTVJVpQt6E6jMVlnX4PIEMGwszPWm/QyhNC5qEMrxFdPNG3ubS5VU821ytp9bzccxWL1b6HhYdoeqQhHlt1WCJQKvuFe/40BOS9GbOVHqDzeglQSbHyE1urIlQnOZvNe+a+JQUYk4FIfi8Vrb+uyxvbeo9Us5RJsN6a5G1U1KsCDIrhsDBoD3uUfUA8C82TsphXgzbUvZVOBJ4DIoBeFYRpw+jPEfqUrO7W14k24NLvpRmiRO59YTXTuKx0Cx0MrPS6YgjLUKbu3Ms9g2egmxF64PlxMNrmeaZ/AgD20F3BOb1leB3kAaClWpDM1+nNiBDJwqk9cx8bVz01JUrqIIYrCBC1lSjoWHH34ogQKs4Le1guOgJZkG8q8qsKFEF8SAiZTGsdmUi1hNOARJkF9e0IHRWyKwxCj9FiG23j0Nad2DrZ8zrzjQL7Ahkqph3X3nwaUNYIDUTW40wTUE98AFh7G0CfrGzJ1g5NmxTpyMTcZcsw99f99YzD1MHgJUeczgNqici7yDNtDk1J44nh7q2Srck0wVyuA+YXG7npACYDQ8EwZFxNC6ZY8Gb/hCCKr65v8DiPeP/2BiWPwAist2hgyPZVJ4W+WBHGgk9ePuJuOiOFiiQVz3nEl4dr5Bxxfh55Dheh4dS+4OaTI9Yccf7yqimkELiGl1sjXsw92Z9N3tQZT4+cOKeBKiGN2vYx9pSnnN09UVopl8cTo7RayDqzpV80z4VyzYcX5ozdFyvX1RCBvAHnBZg+8D3nF4LzG36GLpR/4iYjXC+Q5x2mt9zXX9wc8WJ3QlH2EP6rz18j/WbCN5+u+PtvfoO5JqyPE9LbhDoq1rsK3K347M0HnNYBb9++QjoK1k8K9rdnpFcFu59lrDni4XHPGujbjHLLtkzIQt+WP73CWYHl04x4syI8JYwPjPWWV3RcDosAVRBeL/jxp+/wm+EO5esrSBGsN5ZAFYG+m6D7gvFuxnoaMDwkTB/IHBaL+R1g81dYgfgcG1EHUStBIX20lITnecRita0YKuu2/+Qa9QmYrnrp3PmTymd7tNrYVxX6YkWaMu6uT7jdzfj7d7/Gq/SM//ThEyyPI6ZpxU+u3yMrzcOO64APVbCqID4MOPyG62N+RbBsvKezM4Fxbk6fP9wihIr5PKKuEdn6QL/eH/G9Hz8ha8A3xyvMa8LDwx71cYDuKg43J8RQkSJl0j/84TvEzxR//eef4M2/5pk9v5SWaGoU7L4uuP7FE06fXeHd3xPgxYqQ6Mr81Ydr/Lf3/xjLhwnXf5YgFXj6eUF4OeP7rx7wRy++wr97+wN8ePfGYkye/9FiJW8dpA4OW5zvZo7LTd+7/nOv312ubAZBW9T5ghFy5tECoW4Ao8BApgRCo4wYOchBFOtQII74pooVQD2HlphBrF4uqPW/C3YNdqj55yias58zsl5878h52xjtwGj1eF7nONAURldCg2ooY517kN2kLRukqLEMH41HGyc7pHhR2yDWMzwmBDUBAmkI6zYAaHVtjoiJJ9eXqKPLL/06vQUMrN7HmQu12jMJ/Vm5AQWCXiBDQ6i4GWbcDWecy4BxWlEKn6MIsCjlLiFVsr+VjqtuknDB8mHzLARojJMqUGBGW3oxns5OOtOITXBEY5cNg1sc6SR10XqleuBTFRgiNEVIjAyItiyXMvBVm2dkeKQxNhc1s6k/123NrCTFkAoUMJSU113NgZEYDAdfnfWsAi3ak9zgP7gZM5fLb9ydgW8Hie1W2nXRNEUHY5db0hKAAkrXjR1vteTb9bK9Dh8D2F7wN7TR8XWGpL2dg69PhdU3UsbvgZxLw8jwcX6LGtq6HWsboxgrUqhEJZV2+RkJZdCGCmsSeA/vi9rmQEY9xIoxFUwpI5SIEiqAhBiZQeWoVBCkyoblxfcMKhK87ZK7N/u6v2B1/aD19eB/0MeDCQ9BAv938x3ITEzF5rgbqW3fv60joANlv+XVDKy015+LsZmiMHMg+dZ4Nydqm1eaNvu7306hY3C1gwrOmEIu5qkaINDZHe2sLQB3AHYku+2zG4Zqu0c4S6WDeQRYQKAaWEdoxjre9udiPPx9bKISvKhNsr3t3b6VQPvfaixSvznY2jZQL5kKRdGVC5uf5UX4mu0Mo8tDMVaEVDHYeTmP1dgIq9WCPRM/EjbgWwOhAiDWNoL3yjMXSdt5ow5CDrXP0QADrPoa9Pv41tlq98Nq3M7g+u/4fW7Hcvunnd/a53p35Bd8Z+sskzJLCfZ3/xn9+PzxJNbmcLuezfi33/PfEd/XK4ZUGLfYGK6pNgAsTIXmOAPNiOpkgHYRqpuqfWQ1ZUwWnv3G3hLs7KVO29ZrF4yzxSz+LKcho6ogW+skTeyXvN1rPi6f8jFoXg3+TJ3F8bGyOMKHPUXGAzFU5BKQBU3RhCLQFZCwOUd8nmyf72ZeweTCImSXplgwxYybYUaSiuM4oqrgQ+rzsanU2nva+RyoEBzHjMOw4nrotdlDKDiMK2ZR5DGiBCUgtwrExhAATh/tC/0MtTMbm33A94Dtz9pcaXMcaESDbBQpPs7b35XNudDOiiofqUrMUEu1nTc+X3W7vkxl08osjLnLkyWAIxlLVWk9g8kkcl6uGvh13xdHhe4LhjFjiAVLiebFIgRahowhFVyNC04y9LJjnz8+PsXc6Cta7airQxijWJkdOD4pFuzTinHMOO8AVFtTU4GeI4K1igo2j9yMys8ZB4cakKz9HHEVkq9vTYqqguc8Yl4TFaGigO/rtSt6nBSjIkVpuluwib2pTgiimGvCsY5suQOg1oDnPKLagvQWPhKryeflIk6pE5tcbg0yq7KdXgiUYqdQG6BzSAuyBsTA+m2xvU42uUcxonCIYB2vmpMxbJ5ugW3PNYAeMwnVnqUEtohawsXZLmAro6s0Y5cyAYTCnsutRC+D/j0ZgKuOokKeCQg1leTf8vU7J7m6TwycKhEMr8mdPvDmfSLlHTNzKFoNBcQmIZjYjlPGzcQNaF65IR92K/ZDxvM84mHYQ4JSZz5kTFZQfc4Jx5kT8PRuD1mN0TrGdiCIdscxd17zheqTs0YzO7itDa0N+4xPXj2i1IBvvr4BTvHi8LugltGDkZBZq0zjKTIhw4msi5TQaha9nrRteJmuZnXo0tZidSVSE1vOLGyBEFZ+Rlgr8o7tfrYBQjqSecvXVgsRbGEGJdorPBCDKNanEfE+trGRSmlLnVjEDwCogvN5QBkCfvriPX50+IB9XHCIC6aQkV8FnPKAD8c9lhyx2y+IBzWJh0koLAhmrSnZqPGZgYtKtyaXYg3iB/Yjdrv8OPPeF1CC6EX+opxjmoDhSXH1ZbH6LVugVseCNbdaXFlWbhy7EZgCkChHlFwQ9js6lhooGs4ZEisQjBHNYM13BduymMzO6xAbExdMSmgyIEfLDgeyg/enHdY1QmMFdnYgWWQ5DAUhKE7HibVDFlBpDsBjMvnZpk4l9E18GxjGVZv5jctMW8/RfUW8XhkUTStqDTifRtQ1oIQIDWQ901mtHkuA0frCPWceun7YGnumQZBmtldBZa2y1+RqtL93BfGa7oh1Jcsnx0hGJpFpJtNgUYG1mTKA1QAOT+A2kkeTzs3nATlVXO9nSLDg3Q+4TeIjsmEoHcxJFbv9gmlY8WJ3wvUw45hHHNcRSBmlCnIIKDmgxt4Lbx0iljSg5tDvJXgwspET+/ahnOcOOMmWIcs8QOJsdd5iDLeyFj2u3EvSXDnP19KS3G2Qg1ygCxUJMgy84ZRoPlUIuGBTkxtPGUELNAWLpaSVC3j/SZcCes/AfKVNYh0WQX6VcfXq1O9TFMNhhojivVwjY9gE2YrV3WQtqJI5ID1tVAL2twY0jwbW1qqxp50RCqvVCiWOvSfBdVTgdkVMVKOUErC83yGcA01AqpfbcE2zJ2lAXGj0ItbLmmvLzrYgqF6nvAkA/PmpCpF9r9+09Vg1sEpiMmZMBVIqZaFrnyNSbZw3sv8mJ8+gtNuSGn8NhwV1F5DjiLBGxKMx1AssUALObwTLC7Uzhkzw/nrGblwxrwnLPECiou4LJbch8HzfbeoZrVPBWgeUOWB6x5pPN0MJ1Xrjev2tSANjeB/MoLz+krWZHvTz3odHKsE4z7WZB4a1IjzNdE7eT6i7BEmRXgouVxaB7ifoboDMmX3PywA82DyfFbon6+YvTaxV9trTuLClIfdKRbmzuoMlQE4RuFtxfXuiggsMMHdDbk7iy1AhgTJAVUFOFbVKYzsAzpFaBMUknq3HdhbIKUJmwfSNmU1tTCEBXle+0sY0eyKVUoUERbbgOQ0FIVbM02CBca8994Rw965ifKo0eTwExmYrgBVWM825yHpUBTLr4o9PE85xxO3NEa9vHzCXhLUE1FRQpxUK4PGLG6Rj764QTCVWrX1atWQ0HZ05F8gEFBWCB4HS1l1S3A0nHMKC+3WH55VUjvtAeG05rK5VqjLBHhR3N0fcTAs+2T/hJs349fEO3xyvMMSCm2nGfuBBv+QI3TPJi7GiVJZnYFdRBAglAlaz3kAYV+zN1ZQMgvrkXRC6IaqvZwRAVvMGUAco0NpaSu1GmsFLUlY1YNNimqoIMydC3Sest6OBoRVVulqmjsD5mnMkXxfgxcoz+RgbIVRrwJs/eIs/+Mff4OvzNf788zf4er1tElYUIVs7VPz5/Ruun+sVeah49eYRP3vxDo/LDl8/XyHXgOl7bNfz6c0zXu5OeHs64Fdfv6R6LQeCN3OELASBYEarLOcQYKxIQwZ+kFF/AGgJkOzIHufObrdiLgmvr444/l0+uzESaPr87R2yjkBkiZtamSKAVhvsQM5WaUVHe8X6omB6c0KtgnIeoEXw9P6AP3t/AM4B8Tky8d1XICrm358xB+XnrAKZA4Z7rr1yUNQ9nZPj2x3Wm4p33w/4EPb49bu7BhLt7maczwP+P//h55ComK4WhECyKA4V5ZMFDzc8ZN0cb349I4wF5WFEeuAzf3k44Xqc8eZwRIXgbjzh5XjCqQz4sOzxvI748t0tyilhupnx6sdPOK8Jx+PUzl9VoJ4SsArG9xHziw5qtBZgATi/Csh/7w7rFRAQP4XFAAEAAElEQVSfgaIjynVGMkWQREW9znj6fe4zqEB5N+HXeEFlnAqu/uAez8cJ47894PCVtthi9w4Yn1nb/fgTdoC5+SvF1W9mnF8PeP5huBAs/E2v3znJrTFYX3iFMzRS2d8Lqsi70FDjstPeb0/Q4C5PtgZD6wAiEVID9gO16ylUrCUihoof3d3jdjhjChkpFJzKgIdlj8d1wi+XhDxHyHNqZiK80I78Ny37FsndoIE6lfa9NBS8OTwTNXw4UDpdN+/78Us2pgSZwZtG1nAOR9sEd4K4dKTU63soWbFWPs4OexATFBpTYynjrM1iPmRDeRIDee9pSqmqzU5PbgPfzw++aH/Wc4LU1BFFD7AuTI2AmgNKqLgeZvxw+oAoFUEqyhDwZjfhaZ3wcJ4ARAyxYDdkHOcRi6Y2zl2G6UErA3MNgl5XbP9uDsL8/1AUushFGxBv6wMzCIkLMN5nBosW9EutlmQ421WhtTIwEmGCmwI0BLp1xogLaWUuHWFtKLQFZRa88sLRAn41Ob2zWsGacQ+x4DAsRAfnESUEBGMd7S0QQ8Xd/owxFHwdr/AUJyRjDNYccTrbta1yqQ7wy9igyWy5oY0hbSxcUMCC/pQKrqaFwVgOyBJRVrIPjvw2Y59oif5S7D4d3uNf8VwgyjkfJzTEuSWiwvk4jKzhyQGoRYAzkYE+ds5c+ZywG3MZc0E3v/L9xHLiUkIbgCAMMp0537LS25p+IuUMlIZYMKaCXczYxYylJsRQUVWQbIEF+zuliiESNFIVlBhRZncf71tFQ+r9egGqBTZMwPb5oaD1XWwqkMpnGezr3E/NiKfoZo5q/zvnltw21suN9vx7/rn2Xq321daht0hrkk0HCswxk4mBzcWh4sXhhFwDkW8A19OCGCqeph0WMyFy9cCwX9tYqgrWc0IGg/7gjqee52m/b9/H02z74MIEiPMm9HFUzqdh4jw/TCtyCVjSCG/DUV1lpBsQxVUTRSFQtkTyMW0M+UaxsNkHLhQUaUMfVHBbqUxIamK9YguaTbVx8ZLNceOf4WCWcMdUpZyV9eMFxyFBI8dZTAnTAVkhEDdWyFQRjHHZjyvWEu19QZOfwDpLKQIMFWnMCIH1jDkErFM0l9xo3hOb+W2suor0SKNuE11PEDZKFKC1nokzk9vWN91UY6iVTvjLCkxDn9NbiXIQYEjQyfrlrgmIvdY1ZEU2cLLNEYtTNADh3MFegHM9Hij/Kgt7vkuqeHU4oargbI62MTCBrYpNuQQHPqXSnhMvl99f14j5nHg8rhw8UQAr44R0BrsFzAauDmjtqNypt5nhBUDsnPHPDYGMaKv3T5Sub8c8nRXT+xXziwHzbWxfg6L1ZPe51GpTzcyzCJCvAnbRko1UUKq2sXgM11095+cINnuvbX8ex4QVDfgLok10piqYQsYhLvZ1vSTwDTTzUq6t8uhqXHE7nXEVF+zjglIDjvOI/z97//Jr25elB0LfGHPOtdZ+nHPu8/eIiF9k5DOc5SQtymUKGQGWC0SLDj06CIkSNACJFs0SRkKmyT9Aix60aSBBqYwwArtcTsppZ9mOyHj+Hvd9ztmvtdZ8DBpjzLnWvr9IO1VhuRVbOrr3nnvO3mvNNR9jfOP7vtGHiLt+ROCMSwj2bD46TKFrQQog5K7Xun2R1D1Jv+EmNaiLOzT/lXqjAoCLUU0FKDssSW2sGwhs/0VjpC1sEYtpctF9ZEfIg1NvhkkayFLHOG+AMhTINmPYROTEiBMvoG8Bvn/7Af/jT/9f+H8e/wp+9Oefgc4OpS8oXjdf6RU4OYw92PYZ5wq+e/uI/8rtV/jnx0/xy/s7AMDd7oLBJzzpFSD+MG6QLhb/2X3SrJKKEgB0QDNThMa8zhXshhlPhwuOscPbhz1K5gYaeTuLt2HG9/b3YCoowkjCeH/aIrmgDKPCC0MCdf7rUiGrsrrRhrwyAILgk7sj5uzwXnYKZh8DeOKmaxch1TeTmjXdDhM+nDa4HHsgMZxpidNemXL86NA96LycRo9MAoxmpvV0ws1uxHQJ8G8DShDMviB0lgs5ZUTxbkaKDvFBncp2tyOe7c74sjwBHnQjG3zEbRjh+wxHgo4TNi4iCWPKHpcYkC8edHFwTwo+2x/w+rTH8XFjWl1bdwenvXYnpXevAec6P6t5Yels3p5Z871eaYdEAIcC3M2qj3704JGRLh735w02XcQXT+7xOuwxpS3CqbS2k92pYPvLM8rGY3wygHaEzbuE4ctHgO9wed5Z+7N//evXpysTII4VFUmC/rEsSDotmhtKVpEAFgH+5DCiQ7eN2G9HBFcwZQ8mwa7TCu5tP2JwEdwLeqeUiO9vP2DnJ3yv+4BPwz3+8/P38fePTxGzw/MnR8TM+EA3KPAgE5y7kdDdK1JeabjVxbMh82ZEgcSgIcP3CbvNhCedViVub844hx7joQedq9usBiY18KMimmS2Q5OvAmr9IGjSbe0sSqalysWy6BmFgASlY9tn1UpxRaM4aUDHUdA/LI+lODucgrXTeXAq+t6llgSUwpiOTlHjuSYX5vYnMCG/aILsBNQV7G8vGEJC4IyHvNjWX3JAsRscQmoH7Jy8UigsiE37iDIw4hT0sGQ9yGu7Ek5iVdvOkH9YEEoLJRJWAUbV9On4+wuhrHo1a3Jl7WyCs9/rQHPSr8O5BfxCpMGsZA1evQewijaL6R0BcHCg7MBkbRaMslTIKgAXgnhBtr6BYK3Adl3GJqimORaHYkj1+mBlC36Cy3janzGYM96+nxELI1kQOu1Vy55LAF2otapY5qRWupw5ZbblWtZfpEmGz9h0Ec8355aYjKRjJoksKNI5odbxtl5WvS/rXtACzPUWkVW/zpO6YZcA5Fn7zBFpH2tmQgwekqU5XbrJbPjtHr4V6Nvf3VT1ZXXfYZROQQs7VzA/9qALw02s41QNUGSpWIiHJqaJMCcHIsHDPGAuDlP2mCyQHXxS0y0SlMIIPqNzGakwCEB0BZfgUCxAzBuy4HTR0HNUTaEa9Ehr3VPZHzWw9BMgJ1zRqZwldX4UuLnARQNuDMyprrK1LRENAyqQc0VfLkWT3Lw6LVbPjpLApQwKvLgu14DBEnbVBtPKBEnX3mnqlLHQWw9EIZTs4H1G2qUW5BMX9H1q1HIm4BICLk6R8Xz0oLm6vmpgGI7SgJuP6WdIBozZftvMfRya2Yw3QCLstBpRUgd/0bVQe6RfuZxW51FAEwXiljA2Krfp8vylJv+LTjxXmuya5ld1watECo2SL0uyLbq3MAnCWVCi7WtMkAsQD8E6EzgFQjMBhcAHr2suop3F9QwqBkS3Hi51ixNCcFqBS8lBinkjhALxwOZmwrP9GQIgZocpeu2dKdXNVqvGmshU2YLdSFz2DED3b3YCYUUW5KIbiM5zfY9w1h6e6gWweE9IcJBNr/O5CPg865yvpoEV4IkJfNY/UcoVY4FjQbgU3QNrLGDzumpyAdNy7/QMLJMDuYLwbIT3BU/3ZzwbTkjicEkBRQi5KJ3z2faCwBm5MObiGv2zCKH3en6OKeBx1LYrc58VYLWsT4EcTQxrP3lnxpsKeinoFB5XrVkCgD5jv53Qh4SnwwW5MN6cVIOHPiPtCI5YXXcJzfF43jOEe+SwCmZXIClHTZ7q+csjLxIoJxjHgF8ensBxQe8yEgnePu4QJ68+Bfp40drulQW8q2BZ2lyf8YiM89ipzKkw3vqMU+ywCRGHqccUvVIi69tHq3LV5eQF0gvQZ8TCVvnd4yEOKCDshwmdW+bErpsxeEZwGcFKVrlo4uS5KFPw4uDPTiVUxvyoSzttGWmjrCd/ysqSSwoSOjubq9/COmGo7bH8xXrv2r7CCQiHDDeVK6BLgiWoK3PO7hBBc4G7RFAaV/Mc8A8EOTikLWOc6+/Ymx0VXPmTn3+Bv3P67+M49rqPbDJoyNrKSpRSTwxcLh2IBX0f4a3C/svxKb4+3+L8OMB1BX/102/wnc0Dfnp8jp8+PkPnMn7421/jMPf46qtnwMyQTdZ1ZXui5gzaSo7OHueywVk2eCNPQH3G3d0Z3hWYnx0+v3nED3bvcEo9Xo03YBJ8vnnAxkW8ud3j60Kqsf5mgE+EyyeC8fnCXggnYPOmIG0Ihx+oCW71VkAivLq/UU+gDxXQUq8ONkO5yooBATF6nEgwTwEyO4tFtAgSDgQcnLotTxob8qMHJWD7FcNNwMMfDJj7qB4OuwIJBU9vz9h0EQ/nDebZYegTnu3OuD9v8PB6A54JJ97icuoUWP9sAjvBT948xy/DE/zBi9f4zuYRb+cdfnZ8hsPc482HG6ToQCcHjoTx3OHrwy2m5OC87vG1ehx9wXzjFlbVqpBCZpRWKiuPobmFF1Cv4Md86OAevMZykz7meCvINxk0Opx/uceZgHf8FBQJmwE4ftdhvlU2bf/BIXc70+TqHJlvHNx3bnH6NGD8BEgVEPrXvP4NJLlqmFLR/u4+ofSMyzN/1V+Okz7gEkT7jTK0TU70kE3Ek83Y3MuYBPtugmflkW9cxJ1VbnuO+Kx/wJZn/PXhp/i9MOI+7/B/m/4QRIIf3L2Hp4I/mTpcIoOSa9Sj4UOBmwVxy0oBNn3C1e0UO1xcwW474W4z4ll3AgB8fnPAYxfx5eQhB9+q0pV+U8dAqyqW4Fol6lufIxVFUu2hGrYoXUKqtgTQgKXarVenOVcRXK26OVYqlz9b9dNrkFwrFG4G6IERi1l2CyBZ6W784DUpY5jugVo/x7XOB07gu4RPb47Y+RkMwSn1KCBkIaTikISVdu4y0AFj9JiSa9QfZq0gl0KYL04pKNCmz24G/KhBf+lJGQKTmeBQ7b+5JFVuMqQZWCG2Oq+cmQoQpFWA86CO1zw7cOzgjzP8OLc5rM/e6HUiSm/DEvxrJdhoGLloBSIRnLUmqPRInhfgojaeh1P3us4n7MKMAsJkyX/nNEFaF0CYBL1PeN6fsfMTdn7GVBzu5y3enLVz+HY3qVnG5CCTa4ekVlj1AA4nne+1ifzHWjdYZbQPCbtuxsvhiFgcjrMihXH2yBNb83KjGwqszYuCW2tjI2UffHuucxaEE5m2m5CgfZbz6MBdRj9k7XoTlBpEJzsQJjTgo7EtBE3XV9dR7WmpDqAWtE4OkgTRkln34PSAMSS2/m4LHovd41YrVzFq5HTkHnN2LXgNpgUCgN6r5s1zAUNM71IwRo+xs+DMqH48E3J1O81GL67tfgDAaQLszrWy6puMYknGdfzduCTKLtaWEvZetTdodQxnBqxfd5vL9f9EIHOEyDLPpa4HBigWbVuRna6fSqs2wKEiqe5CkGDtKTZKsR/ngKGLeL5V+clx7pEKo/MZtJ014bSvPiQ4Lhhq8N8FHELEnDyOZatMgaNrbvbhJK3qucw9LIGg7cXV7b6YnotNC+VI4FzGfjciDg6nY0CtUNdWKc50/rp3kybJIgbcVhZOLTHVRFUNenS/QXP0vkpyAQgJiFfO0lmuQJua6JL14CWvAVg4K0Bb3ZXdhSBk1LnEWsWyQD8cCf6s718CNW1TrVZSqXmSLNELYMYjEROpQykI2vGAgKf7M37n7i3OqcPDvMHZBZy6Adn2utKRJdBL1VWfUdF9wVFjfbhJ+5WrqZkmBtWFvJrMhXPR6rxRNElEzXXAoE0AeQaNEXQeId61qi1isvHLbT20P+3l5gKcrQd4aznFbSiytSPJWw34AWhw7oHvfP6I7+3vETjDU0ESxsl1SIVxij2SMF4OR3w+POBSOjzGQbWxlr3dhRE7P+Gryx3G5CFC8F1CZmtTRgIUbi3kqqFkrfZRBnxa0eqtzVHpBL7PuNuMuOtG/O7+DaYS8DhrQui6grzNSsFdOeNTUZOpuCVjia0CWlnWee7R4hKeFAzMuwwwkCaP9w879EPEd+8eEIvDdOjh7r0WN2o+w/oevGIX1PMzD2gMEUDjsDh5Pd/ODsUJvjwHsC9NZiVJ6cgoq/hozaAaClxXkLLDGcCUtIgSXMZdP67AZcEuaFyzDxN2fmqVwVgcdmHGJQX86P1WizqNfr+MVdyQUbALuvtiRQgHYTXzKpXZU2M7e/Gsw+ovYjEQDKwWdI8RPCWU3mtLSiIUX1uo6f2GQ4Q7RNCka4E/SnI7A/7jjhBnp6yVXs9wN1ll8n7A258Mav72LIG3CaFL8L4smFF0iBeVMtzuRuz7CUUIr8YbvDttQY8BeZfwB/vX+K9uf4afn/59vH3c4Qcv3uN/8Pk/xo/HT/B//uoZeGLg+YTtfsI0eaTJt30MmcBnBkaCO6tx0/TMY/fJPZ4MF+1RC8Lv7N/ib+x/gn8xfoYfPyqF+vf3r/FJd8BhP4BJ8JPpBYZXyiQ9/1YCbRL4dY/unuBPgv2XMy4vO7z7POHm2QmH13u4R20pNd/3oJnRv3NAAaYXGRiKetY0FqYOTIoOFzHH6qggo+79Yn2IjXKetBDjDwR/ITz7LyLCY8T0bIv4qe61sslwm4TPbg647UZc5oBpDNh0Eb9z8w5/juc4jk/hzwROHsV7yCcTPv/0Hg/nDc5f7hEZOD+5x85P+OnpGb58uMPl0qG8GRpYDAHiKeDebUFclNnJxc5iQdkCIoTTpcfc9cv5BICisdSqnwvQ4u/QmXRrdNi80nZ03aMCcPf/DkC7CHrVY/OarSCkMfr4HJjvBPGTiNvnJzy+2YNKuPIhmveE4gIunxCmlxl5/pjy9Ktfv3aSS1k1oeJNd0OaQHHWpK0u6lphApF2bKFabRNIYZxjaAkSk6DjDM+5Cb4HF7Hzkwm29TA7SYezXOBQcDuMyIXxMG2QhDHP3lzbqFFl6rVwFtCEBS03BJ9cpVMTJHNDZi9m41U3x8ourC61IA1AKqWKkzSqFkCG5ul4VUt+fzYtbq56Tg0U2BHKrEFmbTnhz9SqGG5W5I5nXUR+0kCgbrYV+Siu0p71ACFSyhM/etSWCCQEf9KNpHTGUDSNK6TSbMwUiRg5qFvbXBzeTTswFU3SWOmcx6iBLJMgcEEx05lSGAlshSOntJMVNbsiotoKBWCjomqLA2oBtchSMb/SQlvwXWknlf6sz1cMNRY1+IhLFU0fiGhQxFzLqDaxv12RbHM+FbixtAqzMJSeImpqVOywpQgQCIiM4hzGOeAx9HA2jxy0IlLztzrHHJdGA3co6DmBqWB0EYNPGAHksVNUrlLHaiy5+mqBBCpoQYsjXU10E+MyBzhWp8lqNqF0N52XV0MdBTyt2ni0QakmXPocC2ll3l8UvaYiIAc1HTLuaYJHCYyztd2gowIu7qzItxuVlr88MzFKOZqWDxALwqiBWQABVJkJViE98RUtqV22rBIkt/y9FEZKwGxug/XZFCGcYtc0dfXParhShBpFSltFGP3SKJhklELtO5w1CaCiVNg60KSVpgXpWq67JhBtvdT2WN+apMs8bj3AP24l5KqOcTksqFV56fpn7Z8uAmBRY3IGKBgAVQCKmsQUJ0jsMHPBYe5BUH3d9eXZPGfBJkR0nNs4p8KYk1egwS55MdygZf9aSStUHmJvXoGYrEFc8epYnqJW5+u1LPR1QfHSqO+1mthoghX4KkYNtn2iWJLhZmmuj1UGIEbvdCOhHF2rNFdaI2UF92o/bzXKs8sn+/estP9K21ezDZMKxPXzhQbQtIyJu9Tq0UIhLq3Vjn4+RaCMDjkxTtzpXiQ691tibvORSCu9Y9aKpaNiNGnYXMcS8EvNneseoWNBAiAtCa/Oc40DqnSl/W4RuLFoFWs1NynZe66M1MQ7BXPMLR+sfSWbNGW9Hup7FQHNKokqQUFRzqLtVlZmdDwRaosSECDCeP24x5Qd9t2MmzCiCDezmI2PYCrYuAgmwYZn+C6jCGMqvu2vlxyaZnahL2vs4c58lYDyCkivwEkdLzcqcDaXq9tTILUETMUv83z9bK6Mcpbn1vZBUdlTBY0q46XqZgEyDSxrnBIZ0XnE0eMXxaQhUe+PZ7rqz0vr9zVGSDVCugqmZ0I5e60mncl6oRsoMTnkTKDRaT9gWd5T9y4BielpjSnFJAYuA51nBF600WRJrueMJNyYaRWcmLNTKr9R9zmvrtvmhlZ1dazzxi0yDzGZEOQ6dpHVuAMNaOWkIAwVZWiIJ+TAKB0vTA+gAZfiGBIWadW68yEVNJmHmwB6MLdiD9PCatKTttL8A/r9hBBUvtS5jGzFp9F55OjATvByd8SnmwMuOWBMAdsu4vhkRugTjrnHL+IzjDlYGCVwre8llC2RWWPBwkplLTAjvGUCVIDFzcCH0wapMG76Cb1L+Opyh/84/iGiMD7bPYIhuI9bPKYN/vzwHG8Oe+Szb+uYJobAQ4Ig3gFgQvED4g3ghqRj5KSxudyoqVHa6vNzZwadq/RSGQJun8AuQ4reCw4e/QdlYtRKveYWbfNoa00ImO6cAoNBtCeusUogpP4f0LNQABzHHv/sw6f4cNiqo3dSUCtvC1Co0blxo94xYwr42fkZBhfx+8/f4P24w1d8i5wcYtX/hwIB4J1gv1Ew+jIHiJixbDWNzAqcksmRwlFjqbQVxBs79wgAC5IPkMKQvuD8OSE8MvoHY+RdCPEU4Ei9iCgRnDGn0lZQet1HDvdb0MjNP6aCe24EsOA3f+nXr5/kzgWMBMx0pYXyIyMHpesJw+jKerHc6yZchqI0oEz4cNhi00fs90f0PmEfJqXEzgMOccDT/owtqxbjQ9wCAL4JT/CELwiU8MO713g77fBnbz7FeOmQHzptLHxRIyM3w1A2WFsjbbvhx4y08bi80E3JTVqViLO2DLnEgFfjDTpO8JQV7eOiptIBmJ4K/JkwvDcaYSxXSZawNoSvvcByr9TizTs93GvvwulWN/AWKDk18SJRAw422mZtkBwuGvyHQwLPGaVzlnAx0mCJ1wTwrCsqbzQR6x5sh7WJ4y/6M2mjLWM4mWlYAUgIaaP6rZyUjnuJSk97NWlQdDtMeDJcMGWPw6QVwJt+Qh9mOPYIXBCNAhvhkKytUBhX1bppMY3hWFpymgOj9Ib8j7pJcr9qsWIJsJBu/P3RTHiSvYdpcAmaNGjwqLRjmgzZLwKKunJkO0D6ThPev8ixkwGeM8L9CHGMvAvWL1bgPIEscGGjm1IB5MQoiXApWnkfhojv3D6q4ZdVCasLXtWld5xMc17geTKqm9rBf8AWb2aPPHoFcCxoUdMaC4JKHU9pOp+0YcStW4FOBLowzsceKTkMPik6Dq3oQDRxac7OAoRThj+lbyW47a8CbfNhlUZ/UZO1uGN1sM0658OJdJ56RtrqAd09aLssf1Zqpr+oTmxtWFM6Qe5YNz3TcQP6vuWkczYAwPuawFjikjQIqYZvbZ2RHq6FDd3uCmAOm+IIM+t4BJfhvFYEjlFp1kNQ+URwWelsGUhZgaCqY/QXa55+XmiXxTG4AxCztrRKBW5MWqXq1cjPjQBPagDlLmSHMtnemjW5TQUc83XQb/O2BZOOG62Toj632ruUggd66+13sF+3pHndG1S/9LPDuSwJHanZW+6XhI6yQxao62MmvE2u6au8U7SYhVQvZDTvz7eP2PkZ76YtTrHHlDwu5x4lEWpv0GZ0FZY2JM6qfG5ctLgVUKktm7oHAU+EtGXEGw345y4qWi0WjDt1wSw1OBTbayfRFmZTrQyuaOCkz0qCjW1xi6zC5DDZel+GIxsdE7aX6XztPwj6+2IthFaGYaR7jD/OKJ2ujRIYuVPGRpVIuBEIR/2FFuDby58F3UEagFv1bsURXATyDKPDeoAFcWY1AKvv4QQczGSKNAmYk8PDtNGqu0uYnLeWTguQ3HpCC3DlTq9ZMjib6zDbGh6z/q6xRGqFigQI9xN4SpDgUDp39QwWyYQDsclNXAXoLKBE0mrur9qn5gJvDIa88UabVraX9ofVdcQR8Cen88+qX/N5j9duj1dPZ9w9URrlJkT0PuEH+/d4Es4tsN/6GS/8ARmMD2mHsQR8Pd7hw7zDOXVNqlIBHndk9B9qD13dzytDpxgzy9veyFHgJ0Lq1UysZku5aFJ2HxXwz8Wc/A2QqOyzatgEgrblggXlfQUsFj28rn1Bd7C454kxxi4a11T5gjiPuOm0SmjSBX8Ctq/URCbeLM9AwWFdv8Wz9im1iFQICEeCnBzcpElyHoDzjSYa/n2AP1I774TRenQXAYgJZcWQCC6DAJyngHkKWnGyTgdibJz+JmFwgjEFHEVjGSY18DrMPcaoCTfPVjAw4LLRjmfAmdB1vjF21bmiD85MFIEqkaugDltVPm4JcUfwZ90XUATznW8sMWWYSHtPsTgob8wwM3tg3yFHB/xL+6iEZi3SPQq6Y8F8w4g3Nv6TnjXTM8Hmewds+4hP9wds/YxP+iM2bsZj0hj8zbjHL2aPrkv4m8//HH+8+Tn+wel38S+On+A7+wd8sjuCIfjqcodvxls8TAPY4hpXkWU7F8vMmL1XJ+tZ94LS15iDm/abZ8AfCZev9zhvNxi+9xYvhyP+9M1nOHxzg/2nR/wv/8p/AgD4v3z11/H1wy1O77Zw9x4hK0OSBOjulTEyv8xwn06gLsH3ER5AV7SYRaGgDAXhvcP2a0LcA+c/mMC+YPtPNth9WXD8gnH6fgbtE37r03dgEvz01XPkU8D2K4e7Py/a/uZO13DaArIBZAScMYsgmmMcvs+gwkgbQRnNp4L03Hx32uLR9VqsE8Lp7Rbj4QY8E/qDASk3GbsXZ5zeb1B+skN6kvGD332FjY/4+vEWrx/3+Fu/9SP8j57/fbzON/jPP/s+3sY9/rO3X+D+MqiJbHQI24Tff/oG59ThT7/8XDW7Ty+4GSbcC+BO2q+4VqX3X2YM7xLOnwUcvlg8l4SBORLS4DC8vOCHf/Aa//TLz0E/3iCcC4a3Dhwd4o1g+jzpnpEUkESv7Az3LqD70tu8lrYfgQRuYjvvdL+56iLxr3j9+kmuiJYAWUBgoGSlYtVWFJVWaJolWX0iFeX6l8RIziGaQQdDlJrsEj7IFtECR0DR5KkEFBBOpcdJOhQwGBq0TGNAGr1aVye66j9WD19OekC4Wal+7Asou4XGaYfBPCvyfz/qwQ7ohpgTN0SKE7UKTUX9r9xNsSBvlcpZE5BK/xOHayMqgjVm1xfPaH3TFiR29VmWFGrblpUGUzRA4QRIXB0uq2CIV4kRrw4//cGPHnZRrSKgWtucGVPyOMUOc3Y4z1ph92ZfXoQaUpoLN1txzNrXUO3C5dq4aTWnqA6ALGPIM7QiaK03qkFXpffwvDLhWT8H086pcYl9K3h935xhTiEaKP2q5La2FCqAQjQKyVFSx19Joj46ZhZEXp9H01Y5fQZp9ohOMGUPz+VqiNeGF7z6eyqMKA5TcRhzUMpOZMAo7NUdcGmnIoY0W+WjAgF1ntbAwK6tRIfkBGPycCSYk9eqZOIrR0+lONu4ri/84/l+dU+6OjkZsj7Ze4DgsVSnIAZGTdK0uFrZrxWZ1Vyw5yhQSrrq6gTNAVcWtLRpyDKMNSmglRs0MZDd8t517UsmbTFjerBaJCxFvweow7JYwgYoFW5KTiuQiVbGUavnUddsqXNS2hgKs1XD9f6IAGQzXrHArY39xy7Kdc7Wqi004INjSwS03VEzTXKsFE6m68OiGrTxMo6tsmmPurmZMloPZ3Jo1XXKNn7EkFJaBZFJrErIgCu6J7DSPafiMBePKevck4LWQqVqE9fN6KskRCsR6oBcXYth3gpMtrfVymdiZKfzm0iaL0GrRDad3bKOroy8qu4560ShIJCymF5pGzg9GyiRGv5kGOBhb0NQI6GI5jTbzANXoM1q+beEcbnvagT2F7/UgbpKKWqFAIvRU9a5RAxdR6lWvZbPFGbUVi5gUvp47BS4tHYhkridsbVt27rKuqxbafpliLQWaa0Kb/pdIVoqjtUAzRvI9asYC3b9aryoFSE40WSuApXy7d9bAIUan6BVTQFZkvZ6+TbniYFsZ44UUh2+sQNqjALonj1BqbGj6LmYrTLIpMY5InqepuzUeVYArtdAmtjoHDfDKW+tWepeXCsoqOMF5KTAPAAcXbIk1wC/mujKao6Vur5rJdLOitU6Y1D7XjWgU0mO/mxZnXt6LFILTpWyawwQEqRkvgTlo8+o52aNV1aTsTJhxAE0EwR8zY6plfekc44MqG37UF5kcMokW1gdtWd9cdTO5Jhdo5YDaCZVc3JXcdK3/S6MQm4AfGUr1rFe4sDVeVo1/aLnY30JYWm55K73hLpHlKDPpXjS+c7UwPz6Kh0W1haWxJiMzQEDeet1FjEmTfY4ZW1nU4TVD4dVb+lINN4Gw5G2p1EzxoQCwjlZPDh1mKeAKXnkdhDrfkKR1cFX0A5rrRTaujMjqtJX5oDex5g8HuOgZ4i9ovHbLzHo2WtM0cYsRY1rbT6ZP0yNZbOd6ZK0zViLo+yorOusrj2eNTbKhVFIi3SIVpHcLPKCBezD1Xyvz7f1366dBTJa7BEH1+am/oJef5tftp/nrOdX/ayOMzpjwKakY7TliJ1M2PKsX0H9XUQIkwE8BYQCY+2Rvu8lBuTktHd8WjHSEsC1R7lbfbHN5ax7mecM5zPSANSWkjwRsBdQUBq81M4AAkhkcAW0OgMIVrTwpaWgjcfHuri/4PXrJ7kxg9j6h04RHBN40yHurdxvOova4BpGXQIJ3FGDutwz8uBwuSGUO4LnjBf9ETduxFfnOzxcBgSXkaGHxNt5hzk7fNk9xUAzfjk/w9t5h9fnG6S3A8KJraRPJuZXZF/boAi6hwR3XjgdnMyEQhi1R607MtK8QWLgGHZ2r6yagajv3T0Qdl+pA2R3yC3waCYfNtGdcYlKMG1tLOBZKw95cBYwKu2tmnW1RLYe+GKVDK+rthlxMAEdA1ngYgJntgoOVO9kwWe51IlDV/q+SrvmJIqS2OfUQypvrJdqr/d2/2EHYoGz9jYPhw0+PG5RIkMuumpP2wHsBMNmxn6YcJo6nA4DyuxUAzwT+ntCd1+ppvp5JRCEHfwlGe27tOS8arJ4Ui1j8WzthXQMSQT+nJXiZ0mu1OboQAt0iMkqZh3Kk0HHYloqXOIZTgT0mK6MSjBHkLPT1ztIp9Q4daOlJUBzSi0CCOFUF6VS9Ck5lIkxjg7fQN02h5C0wmV0KkCBnFQcTqlHEofX4x7H2ONhGvDhsFXDpg8d3EgY3hK6R6X1hnNBc2PMQDgl8CVplb93oCym07W+oFG1unPnkApwH5QhMZ06SGS4Rwd/ZPjzUm0vgVF6p2CC6UqpVhMrFbfzSluFA7yOTXdQJ2Z/ZjMpYm3fURNRUZdcymqoxLMxIsyEp1UsedGTUSnLge9J2Q0rIEgY7TMaxS+jIfwqnwDmG9VQupEgzqnrbSDAAZGlGZ9U8w02yYLSaQkP0BJdTowyOXVXPDjVmV+04uYvBf6i0g6ess6bWhmkFSWyFN28PWvyUQSIAiICp4qG103fDP+KtNOzVoJbQmDaVKAmbXVMtaqmAM/KkOc0gtGBVvQ3TgV9zPp5pqHMHaME3aicOSBrpVkgEyE7DYMwSHN3JWhruPHYg3zBZHvIeerAXBpwFmePkhQM8w86jv17QjiJVi/PRfVOj0kTgCmpbCY4FK9AVXHWcmyrTAI3qi67BIfjWauXtTe5f3DoHgjhCPQPKxp4zY1YA2tUc7oU29pnQD97yqr533qrJqNJGdrhXxMpm9dV1uLmAndOIBEU008LE/I2qDO/J6vuF9TYOVXjmHWSU/dz6Fnrx9LaYogs18NR52UJKpGpAFHTTTDUXMU+o/b3PE4Op8dB15MTlMhw7wP8BejugeG9yWfsHCy9M7S+GEPH9uAMEBVLTpSOTcnAFQIkGH2RSRs2Qt9DzwkyGqrS9PQBGE3ePo+jri81tyQgZ63orv0DiJC2vjGFKvit6wS2pyrNtFIe3aSVmPn7Ce42YuhS27NnM6V7N22120MccEkBvUu4DaNNI/3ZZ90J3xnu8Y/TF7h/2Gk1HIBkRjeaVOMCdGY+1B10X8ydXks1nitBdbS5ucQS8vsOb8c7UFfwZrc3czxlLIj15a2BNmW9z2bUWBN+S0KroV812REDkDgL/Gvde8enZqxnHhniFvZeTcJ0LIsBpsViIlsDs96bmwXhKMbYWJ0LpMmvgvyE/q1DCaKa88uS5FcqtRCQdtQSiFwUEH7vdsqcGrXPaXGimnMhSCEQC77O3DSoLfnNBs4fA2gmDB+UHRiOVm2FGk4JobGmcq8sRnhC6pd9tO0nNa638UxhGXt/NkCj4wZQCeme5y+6ntPW4p6+ggkETg7hkBEOMyQuHgvn72b4V0D3AMQ9cPoOQ1k3WjCIe20RKSxaLQ0FDzdbMAly0kTo05cP+KNn32BwEVszSPrTw3fw1fQETAWfDw+IovHKKXd4fdrjNHU4vtojfHD4qXuGh0+3CvAMGWVw6N4xwtHh8lJA370gnQK2P/Vwoybd4oDxmWD6XtQKX6dn1OvXd3iVn+Dm+Ql/7Q9/BqaCv/f+DzDmauIGdE8m0FPBdOjRfROaLA4C8JkxdT3C64DNj3XsTj8oKIPAH1nB9ZnUINMDOHkUXzC+LIi3BH8C9j9hxNsOP+fn2lbyTY/uQrh8N2H+qzPyIWD4OoAnNbiqsgI3AfMdYb6z9VRZSpaw+gePzTe6ns+/DaRdag7Y1BekZ1GB2k5bo7qjw3zegVj9MNAVHGOHKauZGLPgft7gn0zfxat4hz85fA9jDhhcQrc94fnmjCKESwr48YcXKAJstxNkO+H4sMH4dgO+sDFCa7FQMN0y0qbH4QvG+QfRgAub11ZcnO4H/En8AnlySD9U0LB/D3QHIN4QMglc0PaLKTnwzzcIj6TspoeC6U7Zp1r80HgvbYDTd5RZyjPp3v6XeP36xlMV3RYBlaK9R70zTRQZYkoNJSWbbNVBkE1LBFZ0pGpWBo7YshoDRdNDpMLIYIwp4JICHtIGh7DBQ9rgnDpcYoC7MNx5qT7V5sINaY6qdeIpmTGUJogcBeylbUDaf5QWgb8YhTAvrmIcgf5QbANfKFQLR50U6beKgNr4a/LGMSvKaBS3WoFaa5j9pBWsRstda0RrIG8mMWz0RQBwnPVwXqHinGuAsPy7aXAqslh1P9XkqXLi3YK4yOQ0aHMConIV2PO4VNtLKJhdwewTYvT6M5GVHjMpEuztEG2bfq1UQQ9aqW0jDAUlMZ3anECdR8kO5BlVO6tUcQumsjELqpN3RbNJEX5xjLz1QBE4rkkqtJJrCYesKwA1IWA7fU23qFVGHUQidRjnDEhrJ2DIpAPYBrsQME8eOauRkV/OwWX8YI3Xc8A5dTjMPY5jj/kSIJODH6nRuMJJ4GINHLBUuaopUXVhrIE1FuYAR0VQxXFL2mR06mg70aqqiqV6sJ6H+SMaZ9a1rG6+NahdKpglKWW4orXr+Vw12W4ujfLcKpa1giZL4kupgJxRjaxSWunbCloQ2ACbWqkoUHRXaZ92fVtqFW5lS9BiQpwZpWhAL5EBX0C9VgpK0QCpOtpWl3J1CreDIS6VXI6l0YxblepjnWyBHhrFqmwFSwU3r34WS5Ck37I9IrirddT0j7amtGJpCfbHWl1g6SNdK8NsmGQpABGK+Ga8IixLFZIrdZBQjGomq+fbGB1Zx1HETItJcBHLH23/L6lWV3Uc3Uhwo1I0nbFaGmsjqzlWNRWiSosFAOKrc4BnvcYibLpZvaZqFqcylmJzU64rh0wtB7RFupx9WUCxKDDhWZkCrEBO0yFmlVxUFk9rmdbacRl9i6k9FwXdaNnf7Plz1D2rzQGgzfk1W0mTSTT0v1Xmba63DmkWoFCxsxgGAhXrDCCilLJck30gk4CSarPUCX3xh6gVY7H+vtrj85pbVvtDLwCALN9bGYrBURvn9bwnIgMq2M5QRg58VTGjVKn6tXwiV9cgnpE7bvtiA5WggDPEXFXD6uwkAF7QD3MzMqvTIWZl2gDAKXY4TD06lxGzVg07l+Ep40Uv2JtBQJlU59mqz+ajsGbcuMn2QCKUsqy52nGggipshosQh5IIE6lJUGshVLRS1hgrlmxqe7nlWdTztiairY0fE8TVBLhAiFT+4u19JrFYybSH1s+zmgdKaUdCA3qqjlsTXRgoL9dJbhsLgR8JJeq5VCu/i/zGnkVnleekunNyQJ7UuAqJFwlEsZKYASpx8shJ93aI9i+WxGowedQCRTURclFNMcXpmIqrZ8jyrIRVmgNo1fea/bSsvSq/aoyfIgv7wr7UECxD2DfgpbV3hD4776jJX9rH7LL5wGhhIN7omPuzAXFB+73SrFrwEgiGhYBGTVgO+wGAMvS8uVHfzxvMxeF5f8I+TAoukbEpo8c8e/CF4Y+EcfQYS0AUp63HvMBdCN2DYL4DyGck8i2Wyb0BHQxs7sZWcc+ZkS4d+MKg58Dv7t/gfdzhxw8vMCaPGJXa2w8ztl3E2+gBhDbXNQdRqnR4INz+bFbH6WceKauvApuDeR1bior6lY0a5rrRoXvU5zsePYoXhEljJWwyfu+zN/hF/wTx3a3OP5OitC4RGcvc5tWWJHoOdQ9qDkuzarBRAWJX90ugbIyhOimLNA+CstWYvLaAE4thxuzxPu3xNu7xftI+xoPJ4arv0evLDd7MewDAplMQ4xAZ/tEtTMRVvlA6GNgC+H0EscbARQg5dbrHzIycg54Vdwk5McKDh193EyBtRVWySrLCQUEBfxHEDS3jknS9liCNdUDG8PrLvP6NuCtTzEBJSo3bDpDg4M4JHBmAhx+pHcYAo7wy2/tOUZsyCORJhOsy3h53OEw95uKx9TNenfeI0eEwdfjJ6TmSOHxzvEFMDkm+g68ud3g37vD6sMf51KM7W/8xQ83daJUhQyHW1GGwBiVw1SBGq5lN0M9Qfe6uBgf2c0Yt4Ky0YnRmdNHMMvK3gg8AYNv8KBXQlEGeIUErgRVN1ap2pbzVZA/tsNDEROAveUmqgSUgq+6fNUkla+tQCjgxSJaEBzC9VgDIkqTcEZLpCTgC4VG1CdqGQ8Ab5XBJJkSj/XGfUZxpYbK6QdOJEc8O78MAHhndkYzXr5/THTRobXSlpGPXAsZSkV5F5CvSqUZCvgVQAJZEOBcNaJhRBqsAZEX8qwM4AiPbsy2OALckAS0om/JHlj/2SuaImwuQC8g7FA72ZjqeftSgy3UEECObYzUnrRaKVU0kEwo5zOauKcH0YaJJGwC8Oe9Wul3CPJvT5MTwo6HnF9Nnz3ro6mGvSaeaF9V/J7AjkPjFbTlbQOAY+UJIqdd5Ni16UjcC7mIVYJt3rYprLtM6frQkaiKgKcLHDDfydXAaHJgJ4gtcbVtlAaTq81bBcFFAqFbNYCBHyzaIzEysQISXgKhSeklAhRtlGQBcEXPfNpTcKDBVA1c30tKXNr9KZMjMoMhKOZ/q3CLbZ6yyHA0IS4r4uhkY3hcMH/KS4Fowv9CWpWkJ24lXAE6pBfatyqvbp2kaadnLbGzFcTMqqXtdcaSHJbCstWjUNudsrFZjvnZhFgFqD+7AV+7m+gP6fuEkKBZ06ryyuQ+gZIckhPePyhIo2YH6xWRqHfeVotp1GR3cUdsc+PPiWK4U3wJ3MdaMJaJquqLPhFNRtoFVCP1oDrqmQy5B21jVdnFUCP09EB71nKj0cn9KjSrfxtlAAun02JTgljGxYXFj0vcurgXdYjRCd0mooCUcKQBV9y17tmtpBgDQbPuhJXK6lwgWHjUWoJBsP3dqFlgD6BJsr7OfFWduvNaaps5jkCj9vBmm6e+UsDLMoeWhcdQKuxuVzVQcqRkc6eW5c0TT0dq+LH7ZD1BEtehXIAvgpozqZL3MS9g8VBOv0i3eAiSreU4GLgBwU1BfgMMEukxXoEXaeTgR+EtZKKGiASmM3uRmQeq1e0DVegKE8M7jMu4h+4R+NzfNMrPgLRb9ZzXRnLKek7U94p/FHv+CP8E3h5sFYDg7DSZLXUOLPKAZ7WVtT+gmAU8FXoAukFYNmZBmgtwJ8kafqZy0oiPJnmk9L8sK9F+B/4vMaRn25iKcAHClS1efB0F/IPhaURFNpvyIptcvvnqV6M/zjKvzoASy9WrzngjS6RytRRGtCqMVFtamWQru6/xIAxmDzeLKoGY2pdNe0IDGLTQTpFfKZK3kAlCH8gwFeSej03lRg5yLgsrhqBVnNxmQInZ/bCAsUWPjCVFjqtX4s/6O0l71385cyYsn5ECglrwuz2u6cxifrL+p74m0eMxQFuRdQI4LM6d7pYnG+ExZff0HBUbijSya3Mkh94J0kxWgfdT+rXWLuZw6/OjxBTwX3PUGzgjhGHuMOeAN73GIA96dtnAs+PTmgO5Jxi83dzh8usF+O+H/8fqHOMeAbGZktZjjj4TpFzv4RJhvlWkYTnpP/kS4fNgoe3K0mJgBCYLD4wb/91/8EKfTAHzdA0LITyN40F7UVV4IK96ort324kk19m//qAMVoL8HugPh+EWBPJ+BQ0D4YHvIhSATId1lbcG1YdWIAgj33KjJeSNwbzv8y/sv4E+E7SudU9NToPRWTLBkzR81nh4/T6AhAycPd1BN7uVTncN80QKHezni9uaM+/sd+HWnOv2nM9hppV3ZLAq2dUPCTa8GUm8mbe/2i81T/Gfd9/EwD/gwblRycumRE2OzmXEzTMhC2HTaO/7xNCAnB/choLs37wurrk9PdZ/ZfCMYDtoxYzpVR3sCRcb2FSMclDUQ77QbQLGEdX4qiLf64/6rHsUDp20PJEI31nlOmJ6oA7izdnxpawyRbYF0Be7o0L9j5PHfVpILaPCfMmToULbqCuamDLGAVFsHMUpH4KxJXQmEy0tCckDpCrY3I0phnM89LtQhJofgM05jp/zwqcPXp1uIEB6OG9WDRo+3fodxCpjPAbg4NQSYakCHpWJoSey6XUM1yhJLPJkZ/rygcGr+BJDGZ03DUl0wKS8UPVi12p8tEAdwVU0hqMaCCDynRvGk5AAG3BS1KrHv0MSoNfapSbJpz2BUXhRpRl9V7yT1vlZJIEc12KKK8liw0vQc0LHyox5i2uBZzHlZD6JcCOIFvtMAdT4rpRV9RugTMmurDCGGP2jFtgVDs1KJOALDfTE99OpglZrkZktK7TAoFoAzQYIdHrXKsXJCrglDrRiWYPosMcqzJVLiVXuzTpoBTfRqhVIYCAc7TNZJhIhWcrNWjagUSPGgzkNQWoDAY0YAtMeaM+QwADCNCZlGRjKjUEGMznIZdZudk8d5UnOvlBRp9iHD+4ycHGhW3YImuPrM3KUo5XFUbXGtCukFAUgFblYDFzgCJYbvCM1ZlDUpp8xYZ/c1ufCVIhoFPGalDq+159XsqFILL1FNjmxe6v95kFNmgzCpnngkfbaeLCieQVPWQNaqMkhl0WiLAHPSipYjM6PRwEqkAOClymsFdsqlUeBagGZVEO0jbQluNTaqvV7NgArFaJt5pRnK1AKVhhILmosoR6WzaduyjO79iEobXtqrlGV/sGq1rNTMFLNqZkkT0vU4l84vFa4CBWqM0VA6pbdWd2B1JOVlnVi1jqtRz6/SOta1IQbo1D7SVxVk/ar9TIWl0eC1hZnuQ6Vqm61iRX2GM1fHK/EYdKlLYtDoEA6q23cXNKmLi2swRxr1UWnTRoWMKp5U6YNSfL3U54/mzgoYZS9VQxZp5wNHNQKjOWliRtTYBDr+rj1PMflD7RPPlxlcCih78IryTbmAj8pMKnvzkTCws61T+5zKvqnrh6v0ou71GeCyVEDXr+Jdcwuu+rt67zrIMIqjVdts3G0nNSBBk1xvTpaLcRVaUqbMBDXP8pO05L0yfigL+Gz7QG0tFpY5pPcGZeWkokCOI13nlW4ZfPNIENDVPp52Tp1ojSLaehNzNf7Sea/PVGnl62Q6Dw6+ADxno97XxL40HbreMxtobPcOQfeB4E8OYyHEUFqSW3XezGq0dtNPyIURV34iIoTT1CFGp46s9nIXk1iVmuCQek6U+rlWyRe9RjfpmRMcwQU9FzkCeUOIVBRsXoGVlDVYzIM0xkrrZ2y69iqPqtXbPNjcLzD6NylIK1DwGWqK6R0pON+TAUTGqhCH3KGZfK49BHLQ5506Ncqs80F1emjsNk5ADmiVzVq9XVOuw0XB+XxnyXBtl+UA6TRR5WqklxVszz008RVq+n+JahjoDk5b3oU6Xgb4ThrHaP/mmkQtxo5G6GqxRE36r5gVsvzbXXRMctKka967xZjIAC8363jPN4T5Rq8hnKRVtiHaetGNOm/z4JBW1LD+HUFugOlO44XuQZB2hPETgXSC7q2DvwDTM0A2GTI6+JNW8KrOMp0C3h532PUzvn/7AQDwYdpiSh6xqDb1eOlxuR/gNhl//OIrfH/zHj/Y7XBIA356eIafvX6mIIIluTBmgD8D/LXGIfFOx9HXlpIXwD0q2Nnd6/qfXhTkrQBHj8PjLcI94+Yn+szv/4pX52OhdpJWLagCLfpvP2pCffydDHdmPP1nOs6PPyz44Rev8JM3z5EvO0vw9Fmkp4KwiSh9QO514wwH3RfirSD3guENY/NW52i4FKSBcPyBID+LqOVxf++x/UqbU25enPHJ7RE/++lL+HdqMDY916KMG5VtR59nfPf2Eff3O/TvtRI/fH/ErSWnVdc/RY+hi7gJk+rwowOdPB6GDX4cXjTPnHn2mN5uwCPj8S5guvHou4S7zYiRfMujNo+E7tEKaqMW+uL3lNo+vHZqQHpmBecE2hFjVvnm5l3G6RNnZyUQiSAeSE8S4AXhVcDGCp1pY2aKZkoc90Daq1lkOOpzne+gJsU3Cd0mIo7bZub5l3n9+klusWiyVR1oCU5hVSRo2R0We7uoh7k/6QTM9w5n3gFOQJ020Z6T07650akxFTNm67n6sY9EyQxMDjxyo1ZWoyY/itnsyxWlWDyrq2kqGiAOahHYH1SzGPfqdKcLxRZM0sNdOerW12yqgdGChJZKD7VKTWvjIEATZlRk3SqNVfdFSRuJt98HNLghrVLUFgpCipq3ahAb0r9K5CAAWbRUnwvPAtTkdpXQiIM5KVeAQCuPuQfiTYHsElyfsTOr8emofcQkE+aZlYp8UqomRygYEJdgSHVEaPTvZtK1atVRA26KlkQGB+mVUuyPswZA6+TAqlxlUy0ZP0L/iRaNXrAKR7e41LZ7rzF9pYMEBpwDrUx89O1FaXI10QUgSU2omp4pl9avzwelbqaBANI+km7ScS82drEQInukXl2WU2ZtKr763JTMAMk04ZSqM7VpUKldYKsSrquCqxtQo7Us2qtOCvyoB4y2ILkeF1/b+BgFETWxWNGhqlFRSwTqvK2JWcHy96phBtr8BRHQWi5lfb4tGFglt/XLuav3AldKWmUvXAfRSgmuVQylpOdO+2THbXUxta9eIOb4zl028yXdb4olhwQ0EyuONQBEM05RMyFNcDna/QogRVPYq2dT76kAKPkKPW99PYnQFurH9AIiwNm8NX1ue9SekD0pM8OCSDaaHncWjJ4DnBTIWntOZM80a4Jr642C0/2JTTNsjh7i9fqqcz2JGK3Pqipna1lWKYJwSJkbOAAGMEBdvSuVcvX8avXZzQbmTGWpsFoFlKf1fNQ16MdsCQ+1qjcngswCf9Fn2forz0ZTXplDYZXUr+ciWKtRQqRMHEdApb0XQeulbYyPmghTfR9owkBEoCmDZ638SnBArQa182IFgoCVsVBs/1qxTxpWUIGHYonsypW1aveKV0OPvPmoRzzXtyA1pKtDavt4fR5rUIeSna/VGdrOF2pnXt2DRN+/gjtEaGFogbJi2sADEmw/ryaAUtk9AAVbL/bWuaOleu1XAAz0jKOeEE5Oz4ZV4ODmApdzk3T4kbC0/bNzKqxbtpAOkQHngIIBKS6Lkpyg6xP6ECFCOEz9YjIFdV7PVR9bMyIBUBS0VFq+7rmLCaQBCLS0o6ksDWXRYKloW9XFHzVeWMuQONVWhGga+jZGBcuaXoEmbixWbWVIzw08bNIRoJ2praq6SsrdVJQNQEC8UZNHnhYQgZI0dlqdpwpWExj1vm1vHfXn0sbmu8U3VadcXfPFq6NureTWdeGsHUryRSv+Quqgn0h1hDUxkmXuU4YCymmJ+UBWaS+qndY3LQ2srUBmOJf2XmvqvmA5Jytg5C+LhnbREOirmgzVdiolWOFF0Pb7uHeg7NAdCjZvI9yKDRWOBpLxsmZg94kWmyljD6Vr8S0ApJ0gdwLaJGudKXiYNiggPIwDYnKYq9Gi6W19SHg3qYfNu2mHQ+y1nc9jZ3GLAi/igPl2BUY4uQqP17rl4gXz7fJ9nlRuAtZ97PRdrVKXXotq0xjwQYB8CNgcFKzzZwUcKqhfmSnCgrhVtld47/DP//xzuAeP/j21axEC3MEhlgH9iZoJmgx6Pf17AorqSQfrj5w78z2ZCeXkVf5lUqrxpV5HPnX4cn6C/uuA/S8F0x1hfGnPubNnP3v88uEO7ATnLxLAgnxUZ+RPnhzxbHvCYe7xSD2CKzjEfqEse11o2RLhy7lHth63VADMrMUqIdwME2JycO8DwoGRe8Hpe7pnhEddb/3b5Ty8PFMmTf9B2XjKSNL5GXfczprcCfLezumTA8+kbfUCDBA3KvoGreCg9y+IewOabrJWvE1T70aVk5QZf6nXr5/kxrQcyPWwzgV8sYCVAcoOJEopU/SwNIesclQqSPrgkXbA+ClBQsFEHSIXpNlBZocEYAxhmXVAq34VQ9+qyYsbBd1pCYzC8SNKFGmSy+cZfLhAugDcbcCe4S9KNT5+MWA2u3ue9TOru5hO5txQZMpmiGQbT+mVBigWcNGUFmrxFe0WSltmoHQe0jHcmOAeUtsIhUiRf2/If7LAKWgFkKMGosWp2Y+23SFDYKVRNEpQSm29PwyqpakVr9xri5li36MIzM8K8q6A9xFPb8/YdBEvNyeM2ePDq1tNaos+X54I3UFvsZqN+ctipFDpPcKEzCqVdZPeD6+aOpMAPM6gy4Ryu4VsAjhmuFf3QIya5FiiKaWAuw70dI+qzcKKUilejaf0/jU4TJsl6G+VZvv4epDkgVXLtXLw08PfDotkusXUg3rjRnmGMLegiWetKubAyCHoxm4fS7nSp4HKS5p3DmmnbqUyG/XWEq1kWhMZnWlv0ejebO7JTaOay1L9NC2aOAd41nl6STBjaJTAoOJBWZ97NfKowawGsGgADlnlg+bUKi+URU25sOwB8A5SqbAkbc6jABSjBvF1XNcJrNFyKa4P/dWLyPoZiybCOSsdP2Z9/kwo3i2HuVRjMwGJzoE0cDNrme/0MMmD6Ia8z+ifjGAWOOuPW6/zKIM+F2trQEllEZSspYchkbUSUp+Ns/VJgLknYkls6ysbg4EIld+2pt6r8U+NWpfkRicvtfW9Prxzr9S33K3BulqpIQuuOm3p8lGbFUp5SbJT1rUQvIKQBiS5Sfs8l8FDuNO93APEKo8IR6Xog61HLOvirlqkVm13lvuEov0SZfENWHRUQDgVdPfzQh8WMZkM1AeiFKALSiWOBS7PABHSvlMGUarGg4s0pNIew1nbcrSEsIIlzNdgS85AtM8GgOAVsIsZNEWTQ3idx2Z+VAavVO/ad7ZotZmz6D53Hu13zIo2K9V1DR5VtykHvTYKrlXsm0lPxX4Itu/oXtcSPgsq01aQbgTlVqnTqLomez6AX/TyNv5V688GIFdNGSc1lNMq0irRT6avrXsQkY4fERCxxAmAxgj1q+4d2261DwloTKBp1pZXZminc8D2802VHdg8N9OwmjyFk0dfypWRYLif1GAwZz2fp1nXWh/UfI43i1462cVEtPXFs7bcS6NDpXxLEPRPj3i2veDdaYvjeUDfJzzfqcGLOimrkVGdVtrSh9RI6Xy9r7cz02OhDecK1iuSUedASzDvLbDu1VQIQgsof1o/V7EzoAb9vHg6WMLqD7MF5QPmvTMdarEzXzew0hHilpsmF3WOFjX45Fhw+aTH+VMtQPSPGjc5M+FzBFBSll/a6Li4GUtSRrWapAytbO0RK9shD4vRlXhN+tNNgfRWPBAATrAxw6S49Sjk9f9OXuOWBz13asuSRjGOmshyAsJBGtgTN8bmqUBDrQZ3Gtz7saB7SGjadCLEG480UAOlhaoXCxAeRtBlhrvdwF26VqgQT5huWROmbknii9Gb8wAzSdR73/3cYffVBKyS5s3bjA4af863DuPTygbRvUHbkAm6h3WSou+dbgrobsZuN+F2mDBlh9fHPVJhXC6dVmaN2i27jNtnJ3iX8dXxFl8db3G89JingPwY0L/2LaGGaMui6akdmAwgU+tR3RJcY1OWoSA/zzqX33v4oxZgykaQnyT0P1C0gY49JDLSISA9dOjfOGxfaSHKXxR0iFtjujj1GSiBMN8pw+f2zwX+n3o7IwuK1wp68QTOKoEJJz0vNMbVZPH2J9pSx58j+DwjPt/i4bd7nQtHgGenWtMzcPlEUP7gBBQGfzXAHxnP/zTj5r94wOGHd5ifKgCfbrKOyzHgw/EO25cn/Pt/7af45fEJfvGnn0ESoX9xj7/+5Of4+eUZvnR3GJNW3FONW7sCZkEujHEOyB+UGsyzVbdPDLkw5jtCviWMc8D+p4zNu4LXfwN4+cO3eHu/x/zVgPDIeP7PMvy54PG3PI7fI4QzsP+5xk7zE12DcatxR7yB9fEV9M8uKIXgf7HH9rVgvlHJUAli1G/T2goaaFc6QXyq9OTbl0dsuojXb2+B+4BwJIRTQRnXqM1f/Po300KoVhPLynG1HnpZISNiUi0eK6UVIBVii078isTyxChipiSOIRNrLyUBRu4UbLSqQCTVM5bo4E1fVXUmzeymBkQCQ8g/GphVBa59i6lVY0jQ9DpuXqhzbAcCjB4JwIJ1tIrAVTXNEoCmNaoIdTGE2hXAevUtgVXRdkxRNaLNkdUttN21UVNrM5EUAKDVtVW6NIz6JrUCVJF/m1ww1F+MuolQ4HyG4yXgZ1I9S+mkmblUKjcJGtVlTYuqB0epZkT2LL5FuatzaTVuDVGr48W8/NzHz7NSP2X1fGgJloEFCa4UPKkOz4YqlkDX1wEAJX+7kiZlSQSIQLIEUQKAYoGDGg4UD7gIFDN8qjSY9vOBUZzTw7da+89q8lUPazIzNDUCsHleTc1W47Rcs819064C0EBTFLEnYwZwDQqbNnR5ji2oSktycf2slopaMzwqAmpwOLVncvXM1lWqWj35FY3PKnVuTXNcV/KvvmdB+bIm7L/qj2nMZ8+Zlg21zXWB9wVs/Yr1bdeVFwOAasuUuPpKy+frXDMa26oitozBsl6v59NaFyd/4T233yWlf7fv1cSxzus6x60aoLTP+nxNQ0l09TEwYPJbr2KMBWgVshpaaeVW2TpsRjNq8gQNos60GNfRMub1eeg+Z7TfSgtfOWGz9QavbuvtuV+No85BscSqtsmpJjaVaeMctNXRqtpU51itoFYwaN0KTls7ZQUp1s+iFH3Dtc+DafLqHFdzNF5Vb1brAUAzaVu/r82Xbz37j8CRtncSACyU2lo9btUKsvnuAbGAmKxdH9z64Vvwt6oOr42qqjQA0Pds52xdw7UbQB3Per/12uv1s1yzQdrzLHbwFwWzfsVZXU0Y6xzWzR2t2qV5OjXaq2o0ScHRygIBFGSuDRaYDEziBghWIHCp5C7zJvXU2lIpIwbtnL1MHR5YcJk6pNmDCJisHUhMrrX1AHDdIqtg9aXVt9YCirh9PluXgVoZrGZHOggwNon+m3tartueZU1wq5Fg269avIRF0mXGmS0pbmfBOuZZvq48QlZ/XVoGKTW6tfBrLvlyBao0zS2Wvbu1vsmisq96VntYj05pXSEkCKgrDURwfUawSi45QTX5Wu/XKPVMluV5ZI35WnyD5fk074cCZcvZtblZ36vSlbHaa0iWfRhOjVmFjQVV77Uux3rfFXij5ferPrkEq+Rbcg/AZC7L4IsjwHTXzqinJdh7oVaGtTLm7Fprz1OKhHLxmEPG2HutBk6htbUh6yEP6H3O0dq/2XmZomtxhzp0W7vDDCRzKtdJrM9fz1FaAVSABDuPbK3wrEWxxRBV28CJoPmVNK+MZJVAQZtfFTzhpDpfyrovFkEzXC2rZ1BjLAUw9XcVVDAAse6tjLZ/lMCIu4UVyTaHAIAyIY0BkgjDkTUJTuYrQXrN5BSUF9QzTseztlWVXpCdxuG1fVJ9OS7qYu1UwuVcgWNNdsUtILdeTwXvGA+nDaZTh+1Ui4OMD4ct8uQ03HZqosbdIvdp65PQdPGw3IHEmG4RKFkNJa/WUIbmNiJWra9juZrToQBeWw3OyYoXbrmW6v7/r3v9+pXcObaDjI4X+HGGeAfpO630nCdwyuChQ9kE1ZPBo5rxqG5OmyIrSswonpVqwnXDM1qq9zqQZoSRvCAxGjJR6TrhYvqt2tLHM2jOcIdJqz/W4gREKNtBA7WzIv9lEyBgdI+auOQOWgkRNN2Wv0jTpCjNWDTxBFq1telwBQvFtgau68rWqO0oGNAgDVodoZjB51H/r4hqGmfVOEkXgD2wjk5pymBJ4InBs28BgVZ1dOEBujEXr+hrXR8c7fIYKAzMt4IyCHAb0W8ivC+GDnk8zANECHdPT5hvHM4PG/C9V0rHaBWTi95bTZ7UFbG0ZBowimHWasy6BU0LLIMHicBdolY0Nj3QB2Cyqo33atAwdEb1Y6vsGJ3RG30zW+XXUP3cBTUT6YD5ltoCpaJVveKA4QMDc4TMCx9CYgRcDyKvQawldDTqvKGaiJlumJhBMUCCQ+gdKDNcVDfSElTPAaMfFQe40SFv1ICjdDZuE7WDTZy6//mjVhD9RZFzN2qSQbVimHXdSCFwdcr1Tr+IADPgYQNK/KgBneo4bR1b0FJbEbmpIByjzutqnlHs7/UzmAAXUKvsFBOkVgBz0YqViFbbHGtinHWNiWmIWpsPZv1eTRSy6Jx3GvhSzOqMXg2AahCRimo7VgFC7q81dbXFRa50ICfI+wzaJWy2M242IxwJNiGiCOH9aYspekhi7RcX1Rij6m6v3JOTtspAgWrgk6h+2caL5vSrgZk6Z4os1SbnFMhagwCmw23rBVAAwxWIWOsZAzFya0WzChhWdE4hQt6wPp+VNlDOE3C70fGuVUWgVSrJOcAxyrZD3gRAtOKjLW7U1MzNDm7WNhfdwzLmtfpQVmNfPKGMDEnq7ukmDWLCUYP1zfuixkZnXdviGBKcUhrHpH4QWYEmquvSDI4oA+4S1SX8oi3HWns3JsS9U5S+Sk6ygC76fnyagJRRdgPK4C1QEYsOa8ImIGQdjzDourNEiqeo1xQzaEw2T2mhrNs5VIZuAT/WSSxDweA6/x3smVdqrgJd/qIut7X6k3puvRorkJl7NBpn7gXSFYSQ4UPG3uQnh/OAGB1ycE3T2DSbqwS3JlpuXMADKgKay+IQXc87q8yirusiKgFIAsyTBo/B6xycI2iKgMvNoFF6r+PpCOg0dii9Q7G1whPgOqCYkRwYVwFq7mpliiG7DcgtIOR818GfGO4sKPuA8mzX9gt1CreKtFOjOjWlTEaB7xBJNWuUa0s0BY/naY93bq/7ZwHmncc7oyinU9Ckdshwnekf711LpNb7gTpuF9MZ25SYC/w5ogSHtNW9Lzzq3pusVRZnQM5ovSnXQGpx0BZoo1aMOesZovMog6fc4hYA2n6PldpNj7oG3Xle9izP4FngnVZ4/SWjMopUj8eIvTIDhnvVjXb3+vtp61XbbvO7rj9k1TMuVGRlo4xm/unPACAYXxDibkn29CzVRJd3EcN2Rh8SNl1E4IJtmFu/21HUQViEW4LCCehfW8HFy+JrYECIOECCskHC2TSwRgsW0Z/trL1h3AdMT7zt+6vHmtFAVZJFPuXGoPrkfYd44xbjKqdrN3d2LiegDKoBFZZ2plEkuGgxwWmGXC7tM8+fMNwDg7MgPGb0b2dcPu1x+oIhQXD5TsZFlOLePeoenXYafwyvGG5mnD/zePO5tmLCRefE8PyCTT/jwBsk54HImL7eAqtkptwmhE2EbBPmF4A7Omy/Nk3zRfWaqAko4aqfd9oS4o3APZmRRw//OsBNhM0r1SRH0yiXnrWNTibs3mnlvemyCTh+z6jl5tNTi1VuBrp7lWrNTwRxD0xP1msQCEfC3Y8L3CSY7lQ7ngfgckOt2kiFcPqcMT7p0B0E/UOH06cOh99R2vL2azViyv2iix7+YQ+O2irHRUHcMN7/8S3SxmjVySQAoZ4DgpQYX19uQST43u+9BgBsfMSPTi9xjD3OsQOT4PnujFQY91wwJ4ebzYR9mOF2AvpUMF468P0G4UCYn+h54E6M8voGm4tWSCkDz/9UkP7lDvMT0upzJ7j/fQYn9Q4IRx3nyycW858UDEg7Qhr0Prf3+pyOw6Bx1iAYn5O5SGscMIu2sZufZaAv4C7D+XLVZeH0ZouTEGiT4J+NmGSAuziU87+tJFcEDa4pBUgJ1AVNcmGBa1TnZfKsoExvFB/DgUpHal4BpewsRjGW9YvOuopo5Y1l/qzvoI6yik44oxDXKkpDFwVKg8xZUeKaIDqCZLtOIlDWRNpNBeGUwXExHtEWFmbAkwzxvhI6WFAQs6L/6/YHLXgxJLZqM6rmrfUBZEWSYYGBJQO0GkttVRPQqgaA0q5SAQrD2UElluiRmfhI/flVoFuRzEIavJRSE0ILrEUNkHJmOFeq/BdEgs5nXGoLCENFUWC977Cqahm6vEKgqw6X6qHY5lKFe2gZF5GWnMGttIqrxLL+PmXRalPSZ8tpuWcyXRNnk2papYNsXjV0kAEpBev+ochLYnH1Sqt2K4BqeQujUW+lWv+TDo4QJJqug7HY5UM3e0UeFYmshiHiayKsCW7VyWq7EzUjq4HCr6q0wly6wQyxP+uYUyygxOD1YWyHwdKj1tzAy8o8pFbNsq55ONcCWzJWh6Lldk0pQYo6UmsfV6uAM6P1UKrzvc7pX5UQ1s+tVUmgAQG61lfVPqPAtHuC/bsi+BlLYk9KO0vZAdb2IxU1t5unAMysKPJU6X8GMkQ0ZJ9n1ZxxXtrb6JqETrg1LfgvelVGyarq1BKGtpfY/Iat4UpjZjX2Ay1awmq8Aeh8+3bFgNpcBaBzXmyRlzUgZyDVaq1pf1Mxl2CrSCSyfUfpYDWIjJXdIdTWXtUDlokhWfvtOjN4qX0F/UUDSo65JXtVG93GY/1Vx69KWqoGPBdgpZ9UIJWvq1jZWpCl0ujaVxXY9fOofxbofu1rJgIslPTVGnHLnrDsc/p7UpaAGUA7H9afR1mD7Kp7blXGqJX1AjYzqrqWgCpFuXoJAOv7XEpZWuC0VljrtbF88cqoiOPKyT0XAzRLA8Hoo3ZBFaipZwpyuTKXqsl/Gy9g2RdIv1dp28t5twConKDa67p1EJZT2fZ11Cptff5hqUgUv7iSN2fmWeeCVjDNlGrKTRvLSWn5KhXQ+VbdamtlWQMXRuy1jQldtHJUSLQF06wu+WSOwa1iuv7Kq/3N2DcIClprkmrXZMaM6zaGecLCWlnNg6pDb67KSVu28WznlBUAaneG1k6oGqUxFGC0irPEpcJbDeGECNJzoy67URNhnvS8pI1HqUUM25Mbg8hiN2FCMfqNOAB5MWKi1iNZvj3Pa2jHgsGn1tomCVvPYFhsSFdxSjhppwIFwaUxSUDVV6MCmRZf1qG2PxVszuCNb2NeKfeNdWUxmFj1F2L7pedGr2+xyPqZia7BUjQ2W7NhOMHa1Yl1gFjWXxoI+aKgWJgy3CnCn4NWMwBIEIAFJVLTN4va06jh5FG1keNRJVd8Mdq06PgSFx3vAvgzLwuPgLK1tcpalRPHbd1AgBLXkjqNhRYnbYvZUN9b+yKHsz6j0gHOmAr+ROBswOhFmqFk3kBNqgR2Vimbjir7atafFSssiJeWVOo6cau1os8+MSEPsjpD7T2YDOhmpC2hbOpZz3pWDzqudAH6+2J9oXV/mXcB862BLVHfl6NWlCWIVi8L43Ea0PuEF5sjPBccY4934w5T8hiTR+cytmFG4IxH7kHkWjvKIgTPRT01qm+OQKu7idE91BapetX9Q8aQBEcEjC90H0lbXXv9B01sq58JgCaXqEy5CiaUCXBn1sos6e9oW0rN99jkK2CAfIHzBT5kZJMulULgiwMl9VJxPiKGgtK5tfrkX/n69ZNcZkiyQJfNrCdl8OGkF1+D0pSBMYKmhM6qprWa6o8efW9VGXOqTNZ/bUlYpVHx0s6t9DK6SHi2HoSzoml8iVrxAJYAsfZSPF2WoH9dQamJFTO644jOKgJlo1pgskCLZq1eyaZDvhmu9UOXCD6PWoUxyhXNcQlUrXJF3i2HvQgwRb0m75rxhnShjfHavAdzBL9bKugAUHVN5JxWy6yiASIEp3pRpRPY5larm856BZuur3jC7U+9Tuq+Q/F9q+ipplVjX2cH82eGbFJa2hqpXmg1ReYEPqhVpwxBr6FWHaPpoYiuqnUoBZiLVq9r0lSDSxs7zEmfdR0fqxgs8ftHATwTtmNE/y5AAiNtXNug9f/1kOnfTfq7blke1Pd6jS3oZSBnlFmhXnKs33PcEpRK6+zOI4JVLGTluKqGM5Ump0FcDoxs7Y+q02c9+GryxLHAfzhr5tDerI67tDVXdcuoJkJMAGuSyV61gy54vbZaAavU1zan9H1onK/WkKQMlKyPuSIf4wjQYoBE3rdn0q5jnEDOQeYIRKsKXGy+NwrnYvpVzb4qCIX6PkRwD1adDn6pDhsAUtdfGGp1WYPvTR9QNtqCqoJA8cYhdzrXS9gjE3BiXdN3k6xabaiezB91TtaEiLKxESrgUiv82bStdW9pa3mV7AAKAMSoY1l/zsaSHAPeN6AARUDdUjFHWejDcA6y20CCR/e27jWsFZO6BwJtvoUPl+U5tYmuezZNcfn36lrJ5rubI/jhvNwzAH/R5+kPpo0VMbMmtP69pXPWukmrj0LUNHXeXMI5FvU4SAXuNGvgNltldOjA276xCNqcB4BxAo5n1cnf7jSYPo/6DBw3xgCIwMxw59moyJp0UszaamYFrNDDCfy4GgNZgRUGvEl2ILEzYg0CEYHmCDmP+hz77uo50Gh778f7FACq2t86p4HG0OFHQviYwm/Jff9WmS3FAufqJN/ccp16EqRh0ECU9gCAZ9bD0Y8F/qRazEZFNrPDKlnQ6rTNj3ou1b03ZcD0rQh+uV+x5LfuWfXavdPKvJnPIWdIjLrmPwKkZSR0p+lqrvZBfz8PHvEmqPxp1HMob3SudQ9RK8WrqIhno7+noowAgkpGPK0SjYX2rcGbnk39h4Rw1PMy9+tMBM2JuiZOCubo3FgCYw8hb/RRvaZi1N3t1xP8h0tzmOcGnmi8UyzBBQM0C/z9aHrxDXjj2nWrC69m+2vX5GZaZQmptmSTtlfUNUpZ4E4at+RNWBzFB32mlRnWvdfPRwWNUgHXuUGARNYqf+0mkTXYDY8z/Aq00PaGug9pyzv9Uxwpq+6NJcsXHa9wDEgbaiBVceaW7wlxNyB3G4wdcLIgvIJC3QnYzBWkQpvzLgKbNzPcJaH0TnsuG4hTncp13pTmfVF7Y+etnifVRNQfI3ZjhnSM6YnGYv6c4WbT/VdXe+i1++MMGhO6KaN70P067ZQdN3wAUASl157OxZsGebX2lbVYEA4ZMgQUPyzbQg8cv8s4fc7YvPG4+QWh9ITugeAvDv0H9ZQoviaXaOyB3AH5OWH3peDl/w+YbhnH72kFNl/2uOe9GhPZklR6MTDfFUinIE56O4AnQn/WdnDa0k0w7xlpY5OE0Gi91W+EU0F/T4g/2cCNwPZtBAQYnzpMN4TLC8L0Qo3N/EHnwfQEwFMtlLkRKNaCioq6gHNUX4LpibHizsZ4gQE/o7J//ElZGgBw/lQRh3DUVnnzLSHuNRdxk1aJtb+rjuH4TJ/L/kcelTkWb/XehnfKsLj/A2WtDm8ZblIztRLqNejz6N8r+PbwVzP2nx5xvN/gm3/yKSQI5NkMIgHe9vBVDsRAus3g334DAPjws6fo3jk8kuCB9Z42bwW3pephbV3U9oe2NcYNmWmWMj2nO0LxGv9sXtf+4XXuVtO6BagSD+RetOL9qT7P7TdmNmZFJX82APtcsHmrBcvu0SNtfAO68l6QX2RQImy+ZvgzkN52yEOHTdT8A//WjKdYgy2Zo7ZHcQxJCZh05pP3GvSnxVBDRu1Zx0MPeAeudL2YIKcLwIT+7gbSBdA4tYBRxkkrwjd7TRTPI2QcgZhQpgnUdeDnT/X/jmfINCuttQYXNXm8jHp9odOAcfUiC2Ak2sHIBF8NrywYkWnSRPPutlGfa3JAMQGX0Qxy9FCUaQakaJWPWRPRUANXSwLG0cYwgEIAQoDcbK+CsPqSGIHLuCQFq2b35D3QBU24msOtgErW5MFooDKOkFzAfaefV5HzIth89IhlnCDnM2joQXe3uqGfLnodv6q6WcfKOa24pQQ5XzRAu9lr0F5BgJj0GboVpbZSNHNWOrzdG4j03liBFIlKXaY6D6s2Tj76c4VsuoODs8CyXweJNZBiWqoM62qa8y2xba8ikMtFnXODNyrnkqCV+j4Pj+39yHudyylpZdQ5G4cIyQU+eND24yewHlcGSkY5njT57Hs1ZHEOwk7nWeu7aYnONOvase8pxdVdBdaV6nlV+CnmSFrKMtdsTGS2JM45vYf1OIcA8h6S80JdtEq4xKj3OserawKwvI/Nnfp/AuicATQhrIF/1kowbTd6/9OkyTPR8iy6oPc7zZCUwETWf1LUyAxA1z7ro/EA1HlYLLEMHa56ytpLphllnnX/2W0hIpDLqPPe2k5R1ylQ4rgllbUtlUxGMSPWz2FuCSyGHuh7/bmLUb4nBSUkJr1foO0vPN2Cu6BjMc0gAL7eS0r6niFcgzLrBIsUgKrsm6v/M4BNjLGDmIDgQdutPkMD8+joGpAlkyWNBq6sE/LGzqivaVbwRMq39hXJWfexuFmSxHWCS6RAwfEEpA2w2+gYnS/Ape4vOm5UWRZHu7fg9cyYIuRw0Oew3bS1o0wF1n1SpMlKyAAt1UjykpQCC8g563uKc6C8vd6nbH6T90DfXWnP1+ZfksyMLNq8maNeUz3bbD+vhm4EgL3XvR52XtTnB7TzBSnp/pVLmw8yz3oODT349uYqKa9Ao1T2BgDY+mpn4xz1rHCurctvVcGJdK9fmQVi7TExTbrm23XZmKzGvq5DMlDTDQPC7U7H7MMDMEeE3owBAX3/1TmglWdNpMEAT0ARD2zrOlgkDvpvaP/pBITDjEadty4NtUKZd2ocVBM7ihl0ngBmlJsBJThtlTbrzwszpHeYnw4AE8LX95BXb+HublGe30Iyw4t9viVIteIHAfhwAXKG65VP29hbRc0wORWVYhnYRilDgodsjGk3KchedgPE+waAkYgafkVtPad9idXIEauEnx8vGgvc7lCebDWBtiSXnRop8tmAf+8gG6XnkyXQ2mvaQbIy0DThkcaGIAF4znoPK6aG/6AmZDQn0GXS694NbTzFsYEQjOrkrBVlbVlVet/6h9eE2r89gqYZ0gUFftfMkPrybvGuMCy/urizs7lwnuFOF8h2QNrcqanjmM30ccVGEC3e8HkGYgKfdL3z0AOyAwTwj6PuIZsO0ocFaFu9Wks6VgmPrMB58WrylHsBwBg+qKQkHHVOPflRRP/mjOnlFueXvrHZigcuLwl5I3j2Zxm7//jPsPvdLzDdPUEe1FGY8iKbShvCfKssndIXYCjge69tKC/aN96PlR6v799MxKyC2Rug3D1mhHPS+Ttqu006niFdwPzvfqJU5jtBeTmjPAb075UZOt5pX2TKDH+SJQlLpInVDEzPCfFJRjkzAF7YfGVhEQ3vBPsvE+Zbhw8/VOlkbdcIAGVb1B8l6hoMJ0H/WHB5xog3mmTf/ELNdQ9fMNJOMJxJ2zdtCNN3Z2hLyaDSvrYnwXoeA5t3Ko14+KuEL57c48/e7HD7Y6B0jPPYQwjY/4wwfNBWRWlLuHziMX6hz3742uHmF1UGAPQfIrb//DWk7/D2v/4Sl08qcLv6glZmC9A0xdXcjCbC5l3RRP+GkQad/5X5037faP1pX4CbiPyuw+2PFdyYb7hVcjkKwqVgeD0pCDT2SBtqc+T4HYf7PYMiYXir41vNY3Ov1yerGs+/6vXrJ7lF9NC0hAbAFZUQ3rfkRRzrIVyriqWoWyUpZQfAkpDGtFCdU9KA0IKU9n/QA1vYgZns//kqiNLg1F9XJHKGxAQK3UKVtHtpqHOtBpnpQ0PbSYMSsffiS2xVUdXYTpoAeN+CIk16+Oo9Fro0WyXMgcyUSZJSkhGTjdV1MlaTFLLxpQospGSJmM2++uoCyFswVIPI0IGCjXerjMblmQGrRIJAm0GDsWItRLzXa6uBT6002TOBc0tQYckGnNNqRqW2rr+KVQHWVdsiS5Bd6cJFK0PrJLpVjGpCZlVGsAMN/ZJEWpW+jmPrMRxNKxmW+SNVM1pfUvQ9WyJtQZZV2ciCOapzb3XtTSu40lyS9y3Jqa7R3FlAVp9jfe45ayDqfaOSVfBIP9fmEHL7DKnzrpqWhNVSr0kgYIkw2/3Z/PsoqL2a//V+iFQzWASCvNx3fdl9CgwIWfe+rHN9qPeWl8+r4NB6zutFfStYltp6xK5JaFX1EdEANq1ozd4DUpYkub6Y2951NSb1c+vPVvr6x4ZR9vlUK/1FLClb5n+lE7dE/+P3qXO5Xkvd69ZjWhPHViFl8GZY/f8yX6rMoQbS7Vo+qhh+6z4631ghgG9AHSrjxO4VNVGqY5RKq9aT/pDOs77XH5mjPuv1mi0V/tWvJhGo949lrrVrr/rtRomX5XqJQZuNAmF1jNZjY+Mjtfpdx6Tqeovui2sZBHmn86eaqgFXLAPMUZNJ28elAnR1XLwH7XftGogWneRVclj3ojkulH0mXHEW14wA99EaYeNzks5d8m4ZwzpvSsEVELi+n9AtLdPamVUnxTJumKPNS17eu86vurd1OoZtDdZXXQers5jGaJXhue1z/8pX3XfrGVPZKkTtOYpzQJAGwCtodL3muZo1Meu5beaO4awuqtXITTmDrC2HzmlJbiu47QksWBI7zyjFaZV4BcwKEZAFLAml95Btp4m2sc1c1Iohggfvd5BN39gPTd5kdFdXJRFTVnYCEyplXASt7zig00dNbajKHRXUqX4GzoFKAY8z+HiBbHvEpxus+6DX3tEf92ReGx2Kc5COVeGw0VijmZp51vvxjLzVM27da70CDVXL297fKNvtuVVwBMCvbKdm32/9qwmLEZrdS+kdEEwLvJIIQETbFdZnG1yr3lM2ECPbPTXgR5brtO9VX4T6bzdmkFdZh16AmFGVXiPZZ+u8tf3Nces4IZ4B16l+P+j3edS2Y/mmhzhS35IEAEXN+1ZJsJuAMunYpAF4/L5v1GAS4PBdj/HZjbERBdmTOuU6WCcHwvjEwf03/gouz51SV73AnakZeUI0YU07TV79wUFODt2jJrfab9YMBEUlJ3mjDrxuhP2MrjdhIG8Y4gLyiw65J4RzwfaXWhGvnRH8gUA/67WXbLJEOUPNiASryrv+OT3VimVxAndyS0soqAystkSr7Iv51iFWurVotXUqjLwB4ASI6o/ioiWEndGUHVqXjrUsSNvp2FQ9+cYsEIL5euh0yhuVrJGoNtsfgH/+y08R3nulvIugf0ftfePOHOZ3moy+fXMLKYR91M8sg3aVyF0Ap5d6v1EwvNP7Tg8OzjT6Om567bU6298Duy9NNkeqg88dmrdOZXTm3q6JdBqGBwY+9OgeCd3RWAxVX/+cMD4D+g8ez0yaULtBpE317iD07/Rz0xbKHKEVuDcD8m+tkiui1QbvFhOaerAR24a6BENCpIlVLq16VatP1HeQ270u+uNZk8Ui+v/eLwHTOOrPDz0w9IaI9QslzTZDykYR3fT6ntW0aI6QaQJthqtro6JByzoRuaKSteDbqnYioMfTlT5MzhfI5bIkV8wabKyT7NbT0jZDliWYSgmSNNCpVR2xJF2YGjrf6Kc3Oz2oplkrITFq9WEVdHDfqfHGZYKczur2eXOjqGQXdKxOF8hxWoABIq20xRk0DMB+h1Z5tsO4IsaqEbRkhRgYejWOsvnQAiHnINtBr3ecludRE7RpvgpcyH6nJdHAUml0DEINZu1AqBTacUK5jHD7HXCzszkzLfrZOkfMFAnJKqvBL/M4JeW71FcpkBxbItaSohCuq5/OtYCz/cxmADFrRfxy0d8ZBpAUlIcDJM5wt7fKULBKCLAkplJNsPre5iTr/Ko0YUD/HtOSOJcCKW651i4sAW5N4mowX8f8o3nTxty56yS5roWa0EXV5PLQ6zOe4wp0qYmdjiWH/ZIUeK8/c7lg3cPyCigwkOXqZUmNJG1YRx9fl91DXU8gsvXoNIn6KJCuFbk2jpXWDYCkLJTsaq9b5Op6Ucry+xWMqcBErfbVAL9WeXNevgfba9bzqu8X1sW6Ylk/A9AqfgWNqgxhnHQPmGcd81o9Ba5p9EWgPWmuA1cZeuCic4G2JudIue256IKuyy4o0yYpBb0lQDZeNVGX7WD7RgImM2AClkRYRBPgYrTuIvoZISyVZCLdA6uJUQUQalW5VttDAPqt7q9XIIY+z+rYKynpM61MkzXTpoKsdc75Za9v51oFAcfR9glNSKrpkjp4GmDUB6APmkTPK+ZJfR41cbe9SIydxLstsBlQe4fruC3rl2hFBbY5LLVKbe9ZZS/NHbjuazaHRKTtA7QddM8maudte9WE95JQjiet8u62y94BtHEFcaueSi6Q6jhvFddG2a7z/nCCJFur6wp+pepXsHRdQXZOz5guNDNGBcrTMg8MkL16biuPBZ4yYOY/lAWYrOpaTSODSaK80lbdmJSeDyA/26EMTumjgdEljVdQilbzulUlzRFK12nQeFFJ0vxyh/nOw58yuntls7C1fZHOA8/uUAaPPFgwHPOSGBHgDBhAQWOnUc7aSzY4lIaiaJJWOoCCAxyBoiZxpfcmaQKQBd3PDkhffg3/6Uvwtlv8Qswwz8GCdibVi68rikSAZ6TBgcJSSa7zrgwestEqc9rp9TozaXLHuZl4Oqvsi7Pem0kpwVVjKvY5dT5dgbD1Ogy8rkFxc4q2TScNmuT5c4Y/RXtfva+y7ZSa3FkrxsDIA6tJ0PupVet1EmhyTpYsV08LcbwkwrnAn+IVPVmT7gIBG/ggyznnuxaP1uJJ2Vp13irsPGtVE8Ejf7JDHtiMw8x9reQrYMmfAOmBnAjpRnD5bgZFRv9BqbnjS02GNq8Z+18WlA44f14AAm5+wujvC07fYbz7aw7SCWQ7a5LxqO2Xahwb98D0VPWemzeq7wwH1c82Y0ir+AkT5htgfFGw+YYx3OvgFTPPm271F86fEc6fF/TvPV7wDhwF850mdJvXgu1rrWKOz3SOc2wwjnr2AM3o8/KZtpXy9w7dg/U+HjXB7A5a8UyNqqt06DWlN94AaUeYbwXUZ2Bk9PdakRxfENIWzb+g0r6b7IFgGmFN0Lr7hUEgrJRedxHkQT9HiBBv9Wf79wDeb+BPUD16FvT3AhBwecaYnuhnJ6NQ9z/tVXtsBlzTE8J8JxhHwvish5sEu28KNm+X2LaYAVrxhHnPjTpNBdh9VfD0H36Dsh/w7t99iumGWxBOop8jzijQTv/OCRjeEPZfZ23nel/lL9qm9P1fZfzOv/cL/MsvP0H30MOPgmSth6ZnwPykoLsn3PxMUBxw/lxlkpyMPXAG+nsBTdexy1/0+i+d5GZbSJd4QPACAVvlRBO0duClDOFVgC2aEMEOLA3gqp6ng0TdkSieIWluv4PkQd4oLmmyn4+AW1UThCDkARAozUBOQI4LrTVpAl7yEVJGcHJAXKHKAr3+qrlq6GD90xKDj2hy7fOLQPIFJc/gNOt9Vm3s1YshcMtnigAlQkrWP1MEcVD0jxkiVpEri5OoJEPUU9FAP0cgzZCcIWVagmwCODmtXKcZpZy06lQIyA6SPEQcOI+QcgSEm/5R0giU2cYtLkkuAFC4SnL1miZ95jnrfEh5CarqfccMEQbFSd83JkiZASFQ6hQ5z2WpukoNTC2w5wDAAp/Wi1GWIAsCyRNKHq0Ng+mh0hnIMygNOmfE6bzMBZQukGRUrtiB0gTJj4hp0X9d0iO8BEOV+aqoWB8/AFBxQPI6p2uSnJKCGGWEFN11KSVACko5Q2SGsx7SUhKknJf3AiBpRkkJHNLKpMueQ15dQMl6HanSIizwdsbJqa8CNLctcvpnzpBSQYfc3lLbATlQud4qRLLNV4GUDCIHLhmAg5S0BJREV9VaztDnXIELSZByWRVqWe87+3ZPeu3GHSzJPjejlFk/NzkQPKTM9n/fDn4oRwAeyMmub7lPKvZ/NYnI0B0bAMqsdHTNymzoP9pcq9afGEjaZ0DKRRNZcgC5j/5Pk0L1pVkxPNaFjJJsHErbI9t1W4BHIYJyr8/PpAZSot3jrD8PWt6T3HKd9d9CiCW2W7nER+QkkDKrnjRob1pJR1v/wfwEPCR5248syS0VIAwgeAAeEi2BTGegTLY2ajXXLetWDKDKAkoBlJPeFxsgSLpP6RljWtw4L6AOBEQBIA/dX81sL13sczsQ++VsAtp1LGeQt/0F1+BRDegbOOKW/TFpFaVE0cA3zt8+GwAbp7i8H6B7G7OumXky4PcRkibTi0bbVz+CrNe071a9X+2ZjgFykFW5S8+2Ou8taa7PTEj7r8OBygyREUgMcrMl0gagpBNKuYDSrNe3+r8KFMI5EHgFzlhkC+jzqQ7sdWzitDwP/RRdl8S2T/Cyv+cClBmAumvr/Et6zgNo1sqrc6FV7QHEvNrPxwcUCc1nQz1FGJI1GZTC5lrtUDKDpww/H/Xtp4RMHrmoA2gZE0o66DOYBIJFAqXac/X9oFklKvOUMI8efs4o83Q1V8h0/uIcMiuIWx3am6yj6oiBRZuZ9T2kMEpesT9s7hEAmjWRF3gkb0C2JfklPiLlA3wcECftOOHmUffuuYcIt64CVeNNReDjCZQm5MiYxhnVjX9p3SjtGqUwooEi2pNX4OMMnmZIcRBShpx4ZxWubDRj1cEKEWDPpcpgFJiIen3zDCmETAGlrGIuMaCHgFxUa+jHAl+9QNqz0t8pMMOeTAoYZIFMUbsV1GeVxIAGRuYV4A+oX0EaIcIo03ylnyVA5yUTingdg/kESjOEg8XKFSxjFOch2TWqup9nuPkREI9xdMgglCnCz6PeC9FV3DI/foC4DUoPpChISKDIoEcHKkDOoiZbR0Z3LpgdIT4KwMB8ZPCxYDwx4ilDJr1nKQQ6eLiZgEcCTiqPTIMaIs4PrH3jTwIZF5MmKkCatDgzHxzSJmM+OMynoss+LEkhCJiOhHhMoLPDOKrvy3z0iAT4R0G8z0g7RgyMHEz5FwTlTCjWZUEY+n/bDOkKcO+Bk5lQTZqQ0UFNFWMic/6vxq3WZYzQWl+lUCBhhjwGzAftHT33hFxd6BOhnLWvuzBhfiSUKJCzfj9bWrJ+T5xUp5oSNZlpa/eVAS6ATAKcYb4sOqZz55AM401GS5YLAUnf00XB7AiJBHnWz/cz4E8JxcacxPpPzwwJhJlU950yIU/AfMwYT+8gtMV8Isy0mNg1Ha4xA6omW5zAPRLmx6TXetb4InqPnBnx0YE+vIM8BMznAWUURNGK89wB0RXQgREPBcUR5j2hJAGSmnuVC0BHQZ7U5yevQJ1f9SK5Kkn8xa9pmjBNy+L5R//oH+Fv/+2//Zf51d+8fvP6zes3r9+8fvP6zes3r9+8fvP6zes3r9+8fvP6N/L6B//gH+Bv/I2/8Rf+/1+6kvt3/+7fxd/5O3/nW9//b//e/xwh0WJU4pzZ/btrmmFFsCtdtBTgwyPkcgE/f4p8twdPEfTh0fSH9vu9UTiuEPDl782UqepyuPZCNNSzOpx6h3KjFCs6jaCUrAefUierbkWRbhgNKhrauVCyAGgVbkXbRcooD4+LcVSlHoawVHKZIPX7KQHjfPWe2PT6/95Zj0dpRi6t2lN/3rHS4ACl/NZrAa7NYoy+JZsO0jmVbGWlOdG6OlErQxV1XWuYgUXPJLLY0xtqKLsBeROsXYqhrhejvXbaJ5YuM3B/0F/bbxbTIzZaWHCKTj+etCKw3UCGoHqtarZTK7arMWj6nKL/Lnd7lN7B3V+Ah4NWT4d+eWa5QLYblG2vc80oZo2my4w/v/wJfnL+x9+e50/+h/B+axQ6ex6r+U5GRWzXw7TQolndrSlGYK6mVlbtqDRqb1pVx1emZCIC2vSQEPTZVUrnWmNZ9b6lAMGj3Gwhzmmvzpiun6U95zam1eAGQNWTNnMlt6J41ipWrX52quWWcYacT0pX3u0WaiOwmIPZfAGwSADqezIttGzTRjc6s809pcJOVwY51CkFH7A5Xe+ltmupY1/vfY6QWSvq6KyiNxojpOva82iV0zQvz5EqbVapiFdzyuZeo8p9XOKvr0pLFVFpwZpOm7IyCYi0F/SKhnr1f3W+p4+0izmpwVM1lSIChgE0dG3/IrH9JBfAO/z48J/iJw//8FuX+be+9x/Ch43qeNfjV6tINs+lmudV9+2iVFvEqNdQ3cQHk4pcRp379Uyg1Z/Vpdj2BZomyP2jan5fPtO9OV/vPd+iS9q4UEp67XZtdBkXcz+xudV3V9UguaiMgLzXuQAsVchK5633snoOdL5Axrm1zKOUUN7f63h0Ac2sDsamqEZQk9GzqzlU8JCu0+f3/h4yTeCbG2A7KNPFjLNoq8Y6NKtxW6varl/rsaw9qud50fnW1/osBSCzsS+qOeHQtfMS6XrPEOcgfd179SypHQfa+MjSVUD6TudgTLoHAsv8r3OsVSSzmk+KLL4P9VX3VOblPae5ncdi7fUwdE228OP3/1/85PCffmue/83/2v8aw0h6Nsmyn9YzUAbTxHbcevOqo7Cgfz+Cz1Gf/+kCutkhfvYEJVTWAeAuqekqAau+Hi9AKUif3GG+6+GmDH+aUbzD9KyHeGDzaoS7v6Bse+RdsE4RSfWS26C6zKg9iYVIacdu0aC6c4I7zii7gPG56vX7+xk8J2sXV1A2HvGmB8eC8O4EmmaU7QaysTVT/S0qY8UrVbYEhzK4ZmpFuYDPesZQlZCEgHK30crmbDFFYDWskqqxFfCUrCXRbMZKA8rdBrn3OH/aoQRC/yGje5zN4IuW9oew8Y0Zxesz0uqnXH1G3gak2qnAvldbq/nTDD5MkOBRdsHcx71qrKPFMlnNw8Qx4q3uGf2HEfxg2uW7XqnCjyMoFaS7AXmzhNQ8ZYT3Z12v948o5wv4B9/D+ft38FNG9+qo1/lkg9I7sM2ZvAmYnukZ03+YtLWTUZZ1DQKcC/jDCZQz8otb/Ojt/xu/+Nnf+9Y8//3/2X+E/GmPtBVtMzQDKNT6/6ZbQe7NZ6UA4ZFx+1OtFH74I0F5MSP8osf+F0AaCNNTrUDe/XlB/5Bw+H7A+VNC2heUl2qohEcPnhnbrwmbt0opjnulCA8ftIL4/o8I5bsj8M2A/c/1uUYzfRs+aLvO0+eM83czULR1HwDkbYF4Qf+Nx+4bMboyABJtuZi0zZC/AI+/RXj2773C42WD8PdusX2VEfeMuCXMd8D4SQYJwT+q+2+8KyiDGtJxJLiRMLxS3fThtwvk6Qz3qsfma73eSktOg1aQ80ZQNhndG4/nf6ou0pfnDmkgHH6nYPvFAZdTB7zvsbbMqa/wwNi+0jWXNqo9Pv92xN0nRzy82mPz8wA3Gb26oOmT4xPB/DQDLKoXZoB8AUHA3wzYvCJcPhV8/sffILiMn716jnz2+qwK0N077H6h1xD31iKK9d7yIEg3Sl9Xoyl1peaJMH1vxh/97pd4d9ni6589B4+smngA4UAIj/WMB6prMhVg/8uM/U9POH+xxeu/rl10/EHnZLwTNa0SgIp+zuYbNaQan5LSshOUyTOO+PP/w/8Wv/d7v/ftwVy9/ktXch8fH/HFF1/gP/i9/xXi73/eHmbakjWeX5hMAJqLGUe183azYPumwJ+y6TC0z1c4KKWrOs+py64ll6WoecG+Q/GM8ZlH3Klmwk+1D5Py+uNeJwon5c2LW5qHx70o394aavOkluoc1VktnK0X4Kx/+pNRg2yjZUvoUJY2BO7h9CsdScWxOhkSmclGgvShOeVRXExiqAhk06OYOYO+gf2MBRdVk9LaFhVrxZNKo7iI6W+q7kZM6yBeWyTo2OpmH44JPKkZRto4O8z0M/xF3Rn186wNRa8TOXdsNvOqY8iD8v8BtH5blXaitvRo/d9AUOt2p9QG8QBFoHvUZ1D1AJwEPOvfvTWt7w6l6Xlg7RA4Fn32G4/iGOEwgx81oKhOybKpBlRmWlYdZIkglgzQeUS+nLSdQ/BIEvGffPV/BAD8B5/8h5B/57dx/kTNENKgLQvG52jN6IWgfVRHpcL09zp/ulMBT9piyZ3j0u9w9Wyr06gEtzw3C5pK4GbtnzvVKxVl5SP1dVMi25SA8YU275ZO1BlvJvCkdvX9B2vG/ahrJhwLwjG11k9URHviNh2brruPe7xSWiXcjf5ZgyK/mJkZDXDRta+SG9NPVV1ZM46pwNCajnmlJ6YF9KhaqlWwL8Eh9261uQp4zBoUBYfSa9KnwaNRCo26h9XfhYDS1bYa1Oa67iNqkADWQ650Ntfr7TWNljQzh2roUE07eEYz5QhmvuFHm9NJ1yjHYv0sNaCkUq5MYcS0iGSO9S35qyZq9bmIqOZdBAgBxQlKVCfdlCb8vff/JwDAf+ez/ynwW9/F/GzAdOcwPtV7j3u0+wD02v1F/+wOAhe1tYofcwsQ63OjIuDTpOvNgC8JDrm2ZrOfzRuv+wvB5j1hulH6VG1VkHsNtkoA0h4oXpC2Yi0rCM4CuXDUPzdviwY956Ktn7JowL/aM69MiT5KBJvLse3rbT9nbgAjrUDAtk6qY3NMOu7mel/ba7U1lLL+7NYMxCalh7e1YaBj1SM2k0Pm1iZInOqpwLQYBNVWMUWU2irmAG0JUW3fV3WZOXBLlsQR0pZxeaZnR9ros6ek+7q2MVn29qt+ngXNwIXj6s+s9Dk3WpJhLqvaA7nAjdrDs7W5k2WPbADHOlSp4KzI4rK9BkIBBT6poMwTZJyRytzm+X/zv/UfAbc75I4x3TEuLzRgnF4UpdtdtM1H2gjKTnWM4YHhLoTbnxYMHzLcpcCNCeJYWx7aPiFM2g7LethqwEgoHZs7qOrP6qsENcYpYRm70ukYl04QbwskCHgf4UNGnDzk7LXf5UigSAgHgptVr+bPZu7Ta0x1+7OI8Bgt0c0o2w7zneqE3ZRRDZVa+zhV5HwLsKuxBCV1KYYApdeYwZ0T3GmCOGc6Um2HJ55b2zvKRbXHjhBve5SOl/68nnV8HCFvWPvCW/yVe0Ya1Ck3nIqZFKnUK+4dxjsGZ21B1nrbiprX1N/jKDbW+jzq+d2MgQJweSnIg6iZUdTv5f0qwIcmM/DFEgRNjmiyP/OyT2lfZcLwTqwtTlHt4UBIA8PNguFdbEZHlTbezLxW5xblcmXypfs+mpM2HCFLRjG72Zhn/H/+/v8eAPBH/5P/HebvbzDfFZR9xvBkRJw9ytsenDRpRChAZPDImtxdyMyWtHds6xMdAX/WRNJfoDrWrcZ+tS938cD0sqB0BeHeIRzUoTneaCwinQAsoCHDh4z0fsDwjUMeBPPnEa7PcD7DuYJPbo/43du3+DBv8KP3L5CSg3MFRILDVzfYfOmRbgTps1mPta87+BOhf1A98PiCcPztDGTC9ivWazb1xPQMuHw3gRKhf+P0PDON7vgMGD9L4Imx/Vq1y+fvFOSbjOGrgP3PBLkHxhek63NvsZYXIBS49wF3P9K1nLZkmmBBejkDk4M7arBYn2nutY8wRYabCMKCsrHYbZt0zT/0CO+dJd+4mg+XTwv8d87YbSb8wfM3KEL4k19+F/Gx14xTCLRJePL0BAA4HDcomVpP2hQd0uTBoeCz5w+47UdcUkDMDlkIKTukzDhdOu2vPjtIJtw+P+Gvffol3k87/NkvP0OZnCbXLCijB02W8dZrKDr+u18wbn+ecX7BuP9Dvc/+vQNPwPiyQJ5FyOjgH9zVffIMUCKknSA9TSjTBb/8X/xv8PDwgNvbW/xFr790Jbfve/Rm/PTx6/zS4/Bb+uHxLgFBEG4mOCftXHKuwLuCy6XD5fUG7qK9cMNBJ1FttpwH2yySLnh/UStxDeAUTZ1vA9JAOH7HYXoG63kFgOxgcHpYlX0Ckh4CcIBsMrjL+OKTD/jO7gFMgsAZX59v8aOvP0E+eaRNQHfQAImjwI/A8F43/9zr5ssZ5jgo7ZCmUlqvzFYlsKpS2Wp7CJ+KopbBIe31kKmufXxSfZcQLYiwNbh3RKqF6DVA10bmxcZWnSBpyiogsEC9BIe4982AQRcTIW40SuWsaBCI4AmINwHzrdPD0Q7g7qjW3zWBKp4w79gOUDu4g25s8UYwfWdWJGl0IHO5gxBkyOieTCASiEVEXZcQXIZjgXcZU/R4eNiizA50duDVwcEJGnREYHjPCGfXmrIrqqyHQPGaAOXBA6kHz1YxZ2qOiTxH4LzybfdWofFaIWFhMDyIuyu0jbzD6dMejz9Q+/S0F+Rdxv67j9j1M/adNuF+e97h/rBBPHXovg5wF8bmrc7P7sTwPVvyXhrirC1IqPUozBu2nsRsYn5znOsVaWuggbMgrBeI10CItgm//Z23eNqf8b3tPZ76M17Nt/jqfIc3lx2++uqZmia88fBnQn9P6O8ZnJfxdJfSgmXKC4iiE8f+OE46x72yCigXbddSBBRoldSGVTWbGtou3rWqTDGjFtU4laUiakk/gCU5qBXFqG0lxDnkfYccjBlgiWncWgXN0Ht/0TlTgo6r9rnzWPdzLp0Gn+IIyZrEq5OgHuS5t2dwW3S8+wJ4Qbebsdvo/K6XmbJ+fh8SOpfhuKB3CbE4vD3u9NA49ZDJgU8O4VGBiP5B952aUGiCC/ipmNtgubpmBQ4DuLJj1kCBgQE6rqvKJwDmoOa9JV+hkZIy8k2HywuHy0vG6TuCss3wz0aELqH3Gd4V3D9ucX7swBdG/5bhZkLcBISL176ToyYprlZFovY8LZuA0nvkwWG+9RrITbrXzzeMtGHkzloEeHVWrM3lIUDeCtI+Q4aM2xcnbPsZv3X7AS+6E+7jBu+nLT6MG7x69QRycYg3HuGoZh/DA8ONBeGRWrKLvEocK6ADLMnuZV7U7DWRYutBK+pwjjmCzta3vLYC6oImlbDqN5l51rpn+RhXCa2tGT9oxTkpCCddQL7pG2ADoJkeiVfQUVjBLhDgJu1p6OYCN+oargBQBWlLx6Z/UyBBHBC3qmuDgTFxRxg/EZRQkO8SqCuQyOre6gVuk8Ak8EH38OB0XkzJYZoCSmbk2UESgS66n/Os1RGOpABJAsKR4SZB/2gaak/aLxGAG3NLjhoo2P7MS+/sK8aBLE7g3oFCD18IAvULaI+SCfOdw3RLuHxGGH9rwuZmwt/63k+x8xP++cOneH/Z4uXuiB/s3+Obyw3+9KvPcTl28Bd9xm4S+Mmhauf0XLS2JGAzNEJrfTE+ZeRuldx6TWaLB+anghJE2684AboC12dsNjP+5ue/wIvuiN/fvMIn/hG/mJ/jp+Nz3Mctfvz4Aoepw/vXt6Cjt3Yty2e4iVC+5hWjbDlrFKQ2o6O0GEUpOE3NQRXlOqhWO2n9/bj3SBtC50ndnV0F1Rlp75ADKYCXC5Cgfh3sEG8c4pbhIoOjM4DQrlt0bhSv8zMN6qqr81pjsWIJ3nTLGF/o/4VHbnEkFTTwXXXCS7WwBK1Izs+UtcdJk5XhiwM+2V1wmjqMc8DT3QV/+OwVAODNuEfMDn/45Bv8/uYVXsdb/PzyDLE4jNljLh6vT3scxx45M3JiTKNHvOs0gaqOvlZ0yTOBim//JhEFVB3Ak6B7jA2w0faaGVdu8UGry8WTAkQT4Nh9C5hwkz4/EOB3EX/46Tf4MG3x0/kF8uSAPoN9QSk6PnkoSDcCKgT/yPAHxnxbUJ5m8MGhu9eYLN5AiwFF78mfgeF9QdwSphcA+oJ0o7Fs2RbQ7YzQZXz/xQdsfMQvH+5wPPeQUBB3jLwv+OzzD3i5PeEPb7/B97oP+DTc47v+A34aX+L/6v4Yx9QjFUYujNPtgHhwSLcZz54fkLLD8T7AzdTsNNwFGF45ned2foeTFmGEAVh+UoG44Z2gf8zInccYlPmTraOfesUQeIKaabHGvrkHyqYAvS4SIgOm9qyuz97A7QTQ2Ws+UqhVNtt68gLpE/KTAnKCvk9gLpimgBT1hkqvxbnSwczw9FmUvuBuf8F39o/47z77Zxgl4J+++gwpMuh2xu3tBVkI4xwgQiAucETYbSfcDBN6n7DzM572Z/z3nv4pPvMP+DI9xfu0x6t4i59fnuIYe3wV7jBFj2Ku05/cHLH3M8Yc0A8Rke08cAV5SMiJIUL2BUgmlMyYjh0uB8Z8Syh91qKXExATpBP4PiFGXcvCQHySAS8I7zzCBRAv2D4/A9MFf5nXr+2uTFaBpGyC5K6Ah4y7/QjvMsY5IBXWBAdAKYqG+osmkpSB7iQIJ0M9V54Jy6ZLQDDHO784oPlRIA90hX5V9NgfCSV6RUn6AtokvHxxwE0/4fv7D3gWTriPW7ybdojFYdjMGEm0mjBboj3pe4rTSZ5DtVbXAAJkQYZX06RWIRAxqE3awUw1kOmCVmSJIJBmIy+bThF7C+pJLKZhaKJqqH1xDHjoexS1qEcByi4ArlsS4Erx8cvYFLdyjKsBUyDkwZwkiwAgMCtlS9HO5YHUHlVSUd6KWALgmUBnp8ifGYBIJ4Ar4CFh6COYBNFMMT65OeLTjVKYmQSPcUDMDtPkkbxHjrxsLCOv0EVt4O0mQmCt7npAwYDZAqJcNFjzDGz6pfKXRcf/dq8B0hwBaxdxRdUVq0Cue6IGj2wJfekFeVMgQ8a2ixh8wiUGHEqP89QhJ6fI6KzoupvU6IKyWLImV8lKrZK3lgu28VIWMGorDlhgpeNfNwBxAJiQnaGIXpOpjjOKEKbikYXgOcNVX3jSjaKyHkByVY2pr4oWE5uFTauW6GfKihIsREr1rEmCte6oDq+NFmlujFcOq1EnkfTOjONg74nWyuGKrg+ALGgTR80JUxkhaO0DtNJkyWphiDE31i6Pek3Lc6B1LlgPoiLLwWQIvRQDg4ogjh6PyYFd1sOJBPthQucydmHG4CK2fsaTcMEld2ASnKOao8wsmpsmp3hAIXDS50zZnBcZIAP4GFhoeaksIMSKvi6Vwk60SBkY1465leLtPZo1KAC62SLunbYmGPTAFidgpyZ2U/QYZ9L1WedpqSClBZhZnxMVmDuqVRE92lrkVOAvysBo7r+WyLJRzpTtoUFLDRbEnis+mq9MRc1i7FCt8xy1sljXWq1iouhYlYKVP9OyV5hspc3b6vTLCjh+TOFd93mlAjSCVPDAZsD/n7c/67VkS9IDsc9sreW+hzNExI07ZmVVVpHsASS7CXZDoNAvkl4kQH9DP0E/o/Ur9KAH6UXQgwQIetHQ6BZANUVWdzVYxcpiZmXevDemM+zB3ddgejCz5X4is4oFJKENBCLinL19u6/Bltlnn33m7UGEDLixjKXsTADIAl+xrC1P2tNZ32v7xLLELSVUAyv1vKG+ft2obNkITi32jJG3YZDozCcbQ9XR6c5rPBtLJES0oa3jXoGWGRIEaSgIrAB2DBX7lDHenjCXiB8fb1ByRA2CumO0SSn/ytrS7yx7vQcujHjhDqj6/v2tefFXilYCUlb1ZACq9m5sMFcrb7bOt2wUUWAg3xDybcPNqyv2Q8aH+YjHvMPSAmKoeJp3+O/zN/h02SM/juCrOs2q9rkGt2WvN8vZgNdF2RcOWLdAv21jPRPu2XACyBxCbV1EIBJEakhUkSXg3Ebchiv+w8Nv8OfXr/HfTj/B+ToC2ZIFdt545o0XsfsL4IFBLVqLJD3e6AVitrm1JiZ8afce0OnCFFjZ76KME8/qeS/dOoZuW0ldCrTI5sTuO1uAmvkkwdWYbdu6KnNQFgdE7YEHri0FPYfNNvj3c9XPe7Z2yzzZ6ib6MegBLs9qd6fLgAcCUqi4PUwYQsWn+QCm1m24z0Oiivu0OtlNCAzBY8p4vO7wlPequTiqLxVmQIrj5rpP6+jJA/1+p1LrXtWx7pnymUGL70Hdw5ohR/c5KatdFReehPlLo6ANDeNQsAsF98OEV2/OWMrq280M1G4vWUvbCoxhx2gXBal8zVIBQtW1FmZBC4TLl6ztXg4FPFbIFEwdnNAuEbkyPl722KeEL49n/MH9I34+vsE53wLHgp/cPOKb3TPepmcceMZDPeJducOP+Q6XMmAuEXONyI3RrhHjSYPoXIMGUqzMnronLGLA9E4VeutB7Xx7ZMST2r/0XkHuFgHsgXwEqCpIRVdNDs1fmp9GAM+sfYfvFXzRjCqhHm3PLgHIOk7loGPZBkCCoBwFsqvAwpAlAKy9i8XoxS9sQiVMT6PagKLJnjBrhr3TpBkIzfb7OeDj4xHnacD/dv5naEK4POzBmdBywJxN8Gn2lnICYsHtbsbfu38PhmAfMkbO+FBvsEjAYz3i0gYEangzXDByxaUMuIQB755uMF8TmhACNUwloTW1Va0psrfMEW3Sc46TiZV9GhCvhOEJ2nqoAYga4Od7Qj2QZmrf70CNUA7qSwwfQxf1Amlwf/3NDer0UmDvb3r9/i2EWusODggI+4rdfsFP7z5hFwq+v9zhvAwoVRdjy4zdSZHcMCnNbXgs2P1wQT1YLYI7PhvqUUuMfBs73acFzY6ls3H+j3bIWKnrWDTAm94A9XXBzd0V/9Pv/hzfDg9IVBHQ8C/bT/Ew79GE8OZ4wTklfDrsECZzMs2QO+qpWUtFJuOlou4VkaQGDTgHVWGkWa0tQX9Oy0rZlP0ASYbkN3W4RKC92/xlm8ppQ3UX0amQRuPzbBRXAS0N+TYh3ygNZngqne7XInWnvkUYfUdBCXZDy4qkcnXnjCBBsNzoWHvA5egVoO/dNoIOM5CeNfOomUVFo9M+Y9xl3O9VCW0quuT+4/sf8J/f/hxVGJMk/JjvMJeIx3mHXBmtsaJ2lXF9HoEfR1XnO+oBEM86RrruNDuaLtbLENCDIAVIVBogZVWWbLuIdrdDuGbw4/llAOyBbm0QFPT2FwAkRkWGRzWccqxI+4z7ccIYC/768R7n64iSg2ajF0KcFDVMF0E6r5nQ3h5B9PCHBbi9t1/TRcBVA9wXzpF/XokNaFHpLXUk8FgxjHoYj6GgCWO2030XNHNOto5aAiDSndzQ9Dq+5gGs99QEzZxFNoVQbwnVMwQivXc0zVkBhP1OaxVlk13xlwe5TgkNjHozKlNB1n3XAvUMLeDOjN5POaz7QXgFv7avmqjvHU6WwStijpf9bjOm1AAi0RolC2r1e22tQQPP1ghtNGrzEtEKoY4NcssYRl0Xr4YrXg1XHMOMt+mEPxre46ntwdTwaTmgCeE57DCxoBJQC0EogCsU1KlAvOq8AJqB073XgApw0z7dW5qmpIjeR9rMyIsexf7/WbOLlNKavQRQXx2x3DKWW2XmyNgUuGQBkWCZB9SF1ak2yh5ndahDNjZAUfDJSwk0CFRNgh7U5obYijoewbJfNu9OHetBbrK6J6eEswE1AMScS7YotgqjCYFYICS97MF7EkrQTD+xZp5ou7lYulp5p8o6TdZst9YXLzpmW+BlSw3f7lUOq96DrXtJRnuOBlw4jZMJxaiewanz1osVVbSu0PbscmTEWRDPzYBM6g6wDqQGAdrOxMdNzzGlVep7nLGgNh6AMUSoaVmR0iiNrr8TtJ1mP2Q2QPMADLFiiMpY+PrwjH90+2t8ygf8V+2PcZ4HwNoEn593KDKAIyNM7rB5cMgYni3rMvBqg6xGVrMka6Arg4EBzxU4z11tWloDZqPub3oJU4wgrCrO1LRlyHIvqK8L/vjNRzQhvLseURsjcsMYKj6cDzg/7yCXiOGD0gU90x2vABXNKuaDBo77DwXh6iwYWUEaP979bIfZbwNwNMNqyLaDcDYEIxckrri0AU0YPx0+4GfxAy5twPNpj3JKSjUtmimPZw08hpPdAxHKMfTvpQLNkP/u+LYDe2HWtd9uU7exymRz26iMpDDpWqq7oNlXK2VSRhtWdloAym5lllETC1o9Swt43ezWX4mTYHjUdT7fBQWbE6x+VhDP6z7XbK2uVwcphaB92f0l6L/TliRGYX4acKmMV29O+ObmGUsNeH89IoWKn958wk1cMHJBloCRM74dHsHUcB802L0JMx7KAX+Gr/H4pAWmMjb1WScGFdKmBkH3YnE6f1GfLMxKbe7gLDOWu4iWCOlMCFNbgeemZXRb1g4vFXyeIXnqj6plewLsGnZDxjEuuE0T7oYrSgv4MB1xLQnPseISB5QlQB4HUNHSj5CB8KT2uCb1vwD1s7kqLXg4NVzfMk5/qMFkvM0YxozLKek4ZwK3AMmMx+GAeZfxn/z01/hnt3+B/0v8x/h/X0YcjhP+4d33+DY94DZMSFTwr6dv8T+cvsFUI57ziFwDzovSaPkUMDyq/ViWCGYBWNAiId8oI7QlUcr1KBi+vGAYCp6HG9QhIj0Tjr/cUIkP6D11wUA8MepBkL47I4SG629uEJ8VdJneGAh4BWQBlnuC7AC+MNKzgn/5Vl7SjncVaSzIlICL7gXcZ6RUdcwX3Z9EgpYD4oekQKABP5z1nG0JKHsN2LmqDRqeCNOww9R2+NVyBwgQzea3hbEsEW0JwFnP/2aM1rf7E/7zu7/SnwkjS8D7fIvv5RWanYuJK74dHnVtCONx2eFX716BPg44LYxfGGPNgeVWGa0C7RLBpwBJArkVSCHsf2CMn7QkS1mDBKSGOFbITrsp0Pcj9t8H5FvB8nUBLYybXzCGJ8H8WtdzPBGGh4A6/d3C198/yPWXGY1aCaUwLkUN8lIDclE0IS9R0Z3qjjzM6NOmHgirEbRsixiaRVWs8wlZNkuM0odeA+rXXZFKAI3QGuNcRjzyAYcwI1EFQ7CLWSknJarsPFntgDkEQtTrUrmsSLnX6rH3YYPdFxEomOdcte7JxbC67H2l3oh822DdkdKVmrn5WbCg1bJvddCNlo8RPDS0Yc1oN6txblGzz7xxaqiJ1SECjQh5T6BxzaSIf785hB4EdKd5k+XSL9Mx1hpDAgUBgSALoURBMdGuk1GTiQSBG6414Yd8j0QVI2eMVLCPGUUYU4nINaAsjLxEoHhNqju+loUIMEqzWDN09CyekNG4LXiVEEBGs/IaQHEhn40D2kW3QgBtM7mwYChohslrD+Ya0UCKJjaCFAYWrW3pIABsTbsDA6zgBsGcaVrfY0wAz6wTNmvbfWtLVOn61zGQSqiVMdWEyA0DF0Sw7sMW9B6r3pdm/DdrS0RpW1BASQO9zdo2xoFSNfUeCX8DkhYYgLVV8EzXJqjVtW3MhmZBMrsTbvOHdQ2vE2BLzt9jTn2ve7M//WWG3v+tv6PeacSv0Z1/C3B7Jti+07OVVNVnlqwOFM9qVzzLq3QcQikBtTG8IyqTYOSMV+ECpoa7OKG0gDFUXLiBuaGy2JigZyu3bQSoSa9pl7ZtC7TaCsAACssuvRCs+4zGtj7fxpsGeqsOiX4NNeytEUQCWiWF/IvWA4bZMkZ5DWzdxgCWwXF9BYFmNN2+2bonS/dwNdto4B1A4EX3AidALHNG2c4Ky9yqE7Rb0f4ctSZo4U0G1xxHUfvI1sZjK45IYkESETAYAONga+C1ZnE7dn/T+G4ptJvf97r7zjwgVGYIJXVKLEDgpK1gdA8wEMyGCzp42Sp6DWgHYjcB73YrCG/suu+DDcsH9jEAvU7Q7ZHXQvl7lZIqkCaolVEqY4i6ztkuxiTYxYJSA5aiLVlAUMYwr+erZ9Sa1ZD2+xA/+/Tc7K32vD830IEGSmvLHmKGNIG2IaIVKHfhN3txXkFH4pf3XK39TGcFmECLC/dQ3ZyVnT1iyzkRqOo9er1/B88cQLRn2waZVHVPS9RgXqqeJTlHXGvC1BJuzPmfWsKP9QaP5bDmYWUzjzaGChwZMC0r0wLQAFF/5oHw5qOWUWQrc+AaFThqyizqPouBD9ug1UHBVXdjDYwdlN2uub5uA4GMBbYybWAlI4R8owB6PsBo9/aMG8CgjtTBSl6kr3fVTTD/xWypAwLb+6WF0ELAdR7wNO+QG2MpEaUxnpY9mjDepDMOrBndwZwORkMDK1OthV6StWUEwZ5lW6Pe79/Wh1PAHYjr9p59/jSgbaw2SaI9XDP6fq4KYG6YDXWE6hWwoDbGY94hUkPkCjZfLLDWuUojSGUNSguhDhs/OOo8us3gvM6RAxUSDFyrpH4bWylVsKRHWMHIh2WPn89fIXLFl2+ecDfMyC3gue10HxJhaglFNJb4eD6gCmGMyp57PlbMb1j1AubY16BE1yAB0AjeoriWAEnVfAKd/3TW2lqqALktsrUkUecmzxGFoYmEwda3MU7z0d4XVv/NNWbaYHuqaHYSu4o0FJQldD9QMqNAz3OnbrbiKXWbdwPgxc7IlsT8ckEdANobE+AzwMrngjKhPg16ju9UnCpa3fNz3uHPzt9hHxa8TSdUYZzqaCBOQTBnNUtAbvqnCWPcZVxvA+K+YEwFVcj8A/vb7z+JltCxAAFam229jJ2JiKZckpQqmBuuaVx9uKJ+hpdHlj2Qj4IwE/iEv/Pr31+QS1AO+iViroTvhzvEUHGdB5TCyM8jwlNAmhW1Qzf6avjqPqEeIspOHZN4URpe2WuNYphVIKdFxmJiJHFSGiiEuxAPsB4+CLqAZWFM1wF/9vg1fj3c4cvdCXdxAlPDH918xIf5iH9zfovrbI5G0lq8OihSyEvrDpxnSKc30WoRaqe/CJM2Eg+WJfCAyynIpwqaZlCKRtFUR2etK1LKTzN6mTq2Kwo63wUst9SNo9ax6QmbzprJBIC6D71+1hs7+yETFj8QdIxWuhiUtuMGV1bjKgGo0QKqRX/mh7U7/9SA1J0Svb9lisi3jJIEn84JNDS8/eIZh5Tx1+dX+NXlHj85POIf3/41AjV8d3jEqQx4WA6KLl52qB9GcNYsQh1X40PF6rCzzkFY9ACou7jJiKpwAwDADsAwFfCU1ciMKvBFYgFdiqD9Hl3waHvyi/TNJmPDMBaE0PDxogq/86wgiRfMh0nHlJrRZQatBwyzogLlRhXD49WEa6QZ9c3oprCxps1Bwwa0bGIEXgAOSuHI14hFCD+eb3Adk9HcFFA45RHnJQGzCkzEyQ4CaJaMizsB1PdyvFathzcxMs+uUhNQ4Bf1uh7MUhPNJo7mjHo94pDUoSxNM+UpQIaILcDVRl23HfCKQBl1LILRAH1OXlC7IjoFbkurc1vQs7YGKjhdk63GqYVNkLuZc2p6NtiVAKEeaAkDYbL69J2o8BS0r2GujHMekELFMSzYM+PAC/4ofsJFIn4YX+EQFrybbxTQKQElKmVekmhwLLBefiaEV4BOwTcnRqKJzLk4zzZjPg6QZA66zVUPaD0b5v2t25rh4pNmJVqCCqolBXOWyfpNzwGohGj1WWFWEbOwGJNiamYX9JCtB6WEhalo/8+BUceg4jWzUqa9LrXOjGglCC4WqLbdnN89mRPMKAdCzgGRG3643OLjdMRUIq5Lwvm8Q3ofdQ8uMJstyCZECNHsKFdRSrCBJdS0pgpMKMaeic9Ba79/q9f5ahdARoG2Z1HROFvfzhIxenKLjHybuvaE04ZdUM6DOWFCZN13zqapO72H5cioO/QAWIhQB10fHkRwJsTZg8HP94IyHDRDoFkwp3hq2YegJkLd6/93H7UuPB9NWDJ4fbpgPui62A0ZY9B19Fx3yBLwerxg4IofTzeY5qROdFjrypR6pg6zZ+m6NgDWvUoVXROgj7OL48UAuTVZVqfxj1Y24Ws+MGRIL/pbh9MMrtIzrHOJOKYZP7v5CAD46/MrPC2jOm2NVHjqZDWOZg5AQDmw+Qr64+WGwVbS40wj7RurcwK487raMjQbB6v9bySgzEBhzAC+v96hgfB1esKbeMIP+RX+28sf4efnL2zTrmcxgE6BLaPOcQu6vnefVOiz7hjLnTLQdh8yeGnd5nJtoKWBS1PxRhG0UbOJvSuDfYcEBQJUVKwpcD8EJUUxYbllPS/JGSgmJLkJyB20puAAAbr9UOaUCv1dRl2fdacBR7xoKRA1ghQFnvOd7uX9O81i573W9NcdYX6l37d7D4QLkJ6sXtlYIpq9I+ASMNcDfjlHy0+Y/SsBYyr4yf4BPxve4RVf8E24YJKAvyqv8Vz3uNaEx7zDXC2QEWVBoFpJwE4d9HSSvg6IjAGzSAd6/LnFzy0CeGmIj7MK9h3Uxyk7ZYgMHyeEx6tS968TqK19tZcvK+hICEPFkiP+4uNb7IeMb49PGLgaY0GBnTJHyDUgndTOLq+rMnmc1ZQJ4aLaKGHWn5WjUf5vLLASoJ2SAsljBd4WxKD+kmpW6LP/d+++wZ+9/xr/8Mvf4H/99/6veKgH/NdPfw+/uL7Bzw4f8DY941RHTCXh/eWIx1/eAwAOf/IBP7v/iH3KePh6j3LeQX7Yqc85aOaUPzF2H6QH5+VAON0mTADgfvAM3HyfUQ6M6W1EOaqN46L7pdxpGWD49U7n8nUBvpxRPoymJyTIX2dQbJBJz0SJokzDQSB7FbwafqPn0PWG8MXNBb/JAVJV9Iseou6jfQWNDbIw6BI08DPByrZTvRUqjDIrcilJN/rypiHf+17Uca3R96f+nR4DhkfC9IXg7T98h+OwdPDu1w93+Dd//SVu76/4Z9/9FRI1PJURpQV8tXvG63hBloBLHXCtA57yDksN+A++fIf4dbXyIMa5DPj1wx1ajWgXBZexq+Av1FgS9Kyav8uYv2KMP0TIj8qKxMJoIeDV62fcDTP+9eMe9TH1e0cDljtguSVM3xSk1zPmTyN4id7o49/5+v2DXOYVbXL/sBGyobelWHPyolx1ztSDW39JgMrMm7PZ6+UsWG0BYKJO43FUtI8g0AMrAC9B9QY1MplxyUlRolDw+cvRiO01tzSvrWF2RNIzFuSHJ6mDTV5ra46RiwGQBwG1KeKMptbdPGnLla2xFa+Grmdx08aBx3pPcVoRVQ0U1jmRoEllHycdc0XyXfzCEUVHfHs94gZRFXdeZR0bD4rZ6geF0NHRMGqmoTWgcej0QgCYqyKk51Ez/gAQqWLkikgVjKjfZ5kdF59xMY+euSMbf18z7O9Zg5pt/SWwzldvUm8ZGmFS2lsX7VnXh/4eOlcsSo8BUJ2u0ViZA5V6rZaDBdu15K8WSGuUeD1EPIvb15plVDy462CKX7KtY+81C1J0700havbWs7gtKFMBL50MXx+yATVasKzCsrlhAgRkmRgAzeu62vax7L02hk4B95pQB3NsfD2TpoG9B6lrBrdFrDXkDaBt9qPz0LBhXWDDhrB13vfSy7XsDJJek8NQqup2znysAPQWFaAVk2q+DvVQIlJnWFid5lwD5hYVCZWABkIFga3GLlLVjPnGGAqhZzZ77ZgHPp452bzU3ui6lEYv5+Lz7KLTmlv77Rp0f7W2jh9tLtG8VhDdBqtoiq2/z8bN703V3Nc1IRZUOm2+/w5Ys8Cd6WPUclD/LolG3SpAq1rSMOWIzKJgQWW0zAgFn9Xi2jp3B0J83VBnEaDACqCx1rOy0gZ/q2738xpRtyVuO7Zjb2u/Z5+CnR+2t1VnQsdLBQHJaua5UxuF4d2IVraDZcA8W7VlMWjVBdmZ83JuVGlfp90p+J41crujGWzqmaewWI00v2wxUQp3gREAaCBca0ITo/xGdW63Q6XrS9Z59zkKmyH1vzcMhRetAX39ugK1X8jLJuzZUSwzzy8HyLOXus7Xm/NAfbsn/ffk9sFvkdUh7hlDG1sFRM2XgVFQsZ6V/bIv/BgLJIrNs+0PKYS5ai3i1DSj+1j3eD/f4JTHdYy6r+Jzo5vLKfrrea3nnDK8DEjafH59OOl/eoZWVgq2B6469BtWxPY+LHDt676qzyRm00iwrlvZ/CG9sAfrbTAfJWiGrJ9ZQcef7XlbXNdx/06jWLfBA8vV1jjoQIN+bzBdGZ4IdbBMZCJwEMzZqJ62zgMEIwHVFkQFo0JLJWqz/bA9Zzc+8tZXfTHmtPF/uzP7O+akOgi0ZUO0l/bIP5Ja91VaIywlgkgwVT1Yi91rbawicZ6FMyVk2le1/VXnXBYVD+1sumh/j+s6c6AchC5ElEJ98X3LEtBqwOV1wqtw1nrzMuBURjxYL6Gr3WNtJh4rOv6RGm6HGUwKPsxtp9/J0oPDHhcYOwhNWVbOYKPqv8Pqa23WrYNQnpADARxEtU9sXig2cLSfiZ0jwcoOtmd4A9AIVdaxRbWxbgB267lOdeOTkAa4GJqtl5dAq0R5sbdfvPytgt6hZAgVYyiYq+q0LHMCnhOuQ1WbzRWlBRRhXGtColHFealiNkMlQrhJs+mLJFxrwmK+Za38Wz6A3YLe0lghqaGOQRlIVm8vTRWclxYAkp6ZdnZmixbbRNUGcVbEVr/pb3v93kFuu9ljudPalnLbwDdZqRGVUQqjTAmSlQLhG9yVi93A15Exv04vHNPlTqM0LkC86jAtryzCPzfEqyKF0+tg6qO2keM2K2OS5+8CypHxeLPHUgIepx0CN7DVzc4lKm+9hr7wPFPUEnD5KvYaSCHLKlkg5wGBytorDUqztEYzI8AznxK598HsGdy+GO1A8ZljQrXg9vomdGELH59eG2stB/KBUIcAb9UA0TGRDEyvWbnsE5BOihiWnS6SYK1AtgEFYHvOnM2WFEGFUROVJq3OTrwKgrVDiVfbCF5DSWRZWEJugtqA58uI2giHIWOfMhiCSxuQJeAh7zHVhE/zAdecwCxo9xlYWHuv1fV5qSnqSVVQjkEzP3bIhllrc1/UBGadMFos01Vbp7vJkCBGYeztcJiBTYYLtaqa6b4CQVCLCjKlZFk1IbSiNOVVcErRQc8kUtIslNZ3m8GjqAh3buDF6HfGGmjBAxhfRJrV2lK1wqQLIiRCnZX6eL4OyDUgkOCURzzOOzxPI3KOoGPRmrecEEGoZoDVgfH5dkeAIRR7jdYK+BBC+cyaEamoF6ACL94z83OH39dwZLR9fEHRz8fQUWzNAKDvn5pcyVF6UB/MucoHDab0d5aFGtzhM7tjauJtI8bW6zRN1ChcgeEkRsHS9wQ7IIKhvMLyQswN0Cx6ncyZSgF1x/i4O+Iy6wGwtIBrHfD98kqFGpqK8U1V1Q5rZcjCKxC4KefQ0gQbh+vGUQvqABM0OOo1/azP6llzbw3lysto1ne4OkdrEz0B2ucy+mGtW4VgAa5RN8mAyg6gJQDQtjMtGfuleBChdKQ6Bq3lM1sppGyGPse2RJSeDKyUfX1/vKjtyc0cQSLMH3fIwwDeF4RYUa0eHpktUyiIk++zlWpXqwa3ITYVTDRghUgQjBZOdc3qets2X+eys/Zvs1EDY9CWcK3pz4DOblDBLe61dBIYdeBNCxl1GMvOnOLFtBIGRjPKmdtSHyQu2nKq7x1ag61Ohx00g+VlD6omvrIXyJUrD+u57IGHA2dx0mt5XWW8qr0ve2BhvR96jsiZ8DwU7FNGbYypJDA1DKFiFzKCgYJE0ml3K1i1BjldSfzq61bUCfQMrQiQ1+ALgCpbm9AiBpNCJbvonCGzMqdkP7xoTS2RUY6Ecp+xO2SkUNGE8eN0o4J91RSeg6ocq2NmTpwth4I1KPEMpe/bslPRHxUK1M9RFQSjOkOAaplIDcL0luNFx7XugHIQlEHB+Y98wH+V/wRMf4znZcR5GTDnCCaBDBVtz535AFE9iHhBZ1qBNLM7vdHOFMutZ3kTQo4birJ1jCgRvIt9nuIp9xaEoBVs93r3fBOx3PAKjAe12c6wEwaQ7MwWvCxZg9nzRTbUbkE+MKYvVJuCso5bAHX/R6IGqHX38ny5fEs4/2T9WUvaGoiatnTpegsChKtg/Kj3V8ynocarPR+1j2yJFUOs+H66x5+mn+ImTPhFfEITxrtyh0lUYZlJUBt1xouwKe4aSFtHvQcPgEkEy5HAtv/JmBTpXDXYsXKENjDmLw8qenopeva7ZgVgoqUR2I+QOgO/8YcnyDWiXgE5ZuzGjNYYv366U1vYtMDg/LBH/JDQBsHyBws4Nex3GTFWnB4O4OfYAZ6WBNevzd8elX3kCsFoAJ2jsp1uBeOYsSwRjw8HSGHQOXQBIQD4l/gD/G/q/xy1Md5fDsg14M9//BK1Er56dcJ/+OpHnA8DPt4WoBLO04C/eHjbs8JDrJi/mVG9TlwI008F07farSCeDYCuhHZOGD5oZpMq8PizQQGUpGt0eSXId4Q6CvikNbL5tq37/RqVERn1zI9/vlPf+KcL9m8vuD7tQM8RfCXQSQO25Y22JKOF8f2ffwkZG8J3kwbcH8YevPezter40psFMW00YQSQxqiZQQ9DT0RBCO3QIIcCFM0Ea5mEAEFQ7houpnD9m493AIlm7O29PGkG/5RHlGCK+Wj404/f4tPpgH/0zff4X33zf8dz2+Pj8k/xIMpczMKIXHEkwbvpBtP7PXhi0BcLdl9ccX3YAb/av6Cs801W5eT7iGsLCjxFATLh4U+/wPMCxEGZcVTVD4LZCggwvIto72+QbN213wHq/K7X7x/kDkGFoEZtqTEMesi3qqiWtx1whAhYD9G1bmulWXUa0E5R/+FkqrRx7XkWLxqgTK8Z+VaFFtLFDm9H8cyIaFCmhnFZFMVqja28Rw/f1lTaWhqwpVGr+h9QjysyBQFwAZKJHGjzY4KQ9GCAaoOAIYMbfUd/CF6f+9sDiZXyKRZ3WB1uOSplJyxKKYY55gAgVmbQBkIbYP3gjIpntR8SgXLUn8cLOhVUGKBJnRlvPk12QPk4OLrVBkU+/XDSQA2W7dPgwp2ijvRfAYcs616fp+SIOTSMqSCQAg1ZAqaWsLSIqSYsVWu4ibR+oJI53ZXAlint62aT3XaUVqX6W89a9dYgmxpdFzzq/VUtMyPmCZGLzvirNj2ooxr01hi8gfXFGAPkWVVXJzQ71WsCWbpTrfsHWpPRRBWD/bvFko9WV0ZiQW+1mi1bex54sdV+UGbUHLAAOCdVwDtNI6arRm1xqKhB0IaIlpUi1xFY34/2f6Wxk2Z8/DnNJvNnS9hb/gDQ+iB3PF3p9/OXUTf78jdApw7UHURg3YsuiuW0foZSh4XNmTJlYqrSQQXw+ixM+hxKDf1s69l6dcXXThPD6sRRE7Cv+7b5nW/ttmYeuBDyOWEi4DSO2Mes4M2yR2RVK9Qlpe0Q2rbnYl2Nun6JXXMrDOvBF63v6eu4YfUet/TkJgrUiKzKymgqHraFgWNY0Wz7MtnAs2T32VkVtg5bWMeMLDnsa1QpuYRG5uw3gRgNt2fiyUChutrATnsGmRqjgo6lWIu3C0Oy1pHLQJAlKFWqQjOhsgYh2yyX3uemlYopvPY6XQ+oRNf1SkWWz9Z5W1XEI+v+D61/Xio6s+QlW2Fz3pGPne2/vAatbg/6/ftH7PxsQXqmrGekmzKJdD/Z++sqHkhtZSUJ9NwADHT2NWYBpwPHZTRQIGsQBGLFsILSFisxctaa/9qUOTJwxRAuiKQ1f3+Xl9diczHxss15+GI9N/QzlWrTQNcBNgAvMu2uv5BCrxUDNPCsA1QQJhVE2zOXMvR9CUDrFoPWzHc2gGc+3U+oKxhGstqfNuoEF2M7qNgK1vZ9sL0dgEJrORFVQRZrf1MISwmYQsLzrOBlKQGl9BS3+jBRfY62iPoCjs9aMCfQeyo76zNt9wYR1Eqdqsl+LlWA0ypwFOaqWEMwRpaPAfSZ60hY7kwsb7J94tlLzy57sAsFDT/3tdD/Nj9iAOpBIDOQFupBFhFQB8v4BD1Xqel5CwKWO9G2NQY4e02oNOr2nwuAqvexe9TOHhNpP95IumckGhGgcfdnLyXhx+UWz2GHi9ao4GJ1jLkFBR2EtK7SgUAStddhsy9tD4to+6Jmviob+8TbIgLG5ggmHnYGQlH2FBVZc3te9pMCWn2536jo/ciOEbihNtY2X85cFAJdA+KVkKN0pXHftyccwCYUJ1H3QTtUbSVmtaatKVjbsgmiFkKFKlXPkiDXCFoIw6dg7aH0TM9xwF+Et7pdm2os1KcBPDEehor9FyqWxbuKllWj5UkIyUAH5objcVJgalJ/Jx0XpFRwvYzIH0d0DZLCiBfC8KR7ZHlFnS4P0kROi826GxiT7KBJDVQCMmvGlwVhIowf1f7Ofyi4O0yYr4q8cCHEi36+vi6I+4L6fsT4IWD+Arj/9oJcA06PQxe7+rx+e39YcBgXZSdZdxoCcL0OqmyeN7aMBGFoqIAmyXz6WYUja2oasF+S+hmXoOdpsTKYvNFxsUPg0+mA6/sDHl/v8Q/SJzy2E/Yh44l2L9ZWsi4e4aQtstrXDW9uLvjVww7Do67JchANaG+AGBvy2FCOrL50EGBhHH4gDA+C808I01d6v52ZZnFXPCloWPbasrT9HaPX3zvIpSI9CEIUO18ERA3UrLWJOW+htw1StHy5Id38G8PfC9qDGkUVWNKt7BlUP/TCLEjPjlBDD8S2dmLhrH1Fy1GvVx8HXFJE2FdwqCgloBVbQF40v28ohrx2cQgzxp7FlAgVbGraT5MLMD4ClJtKvkd+UeMSHxetR0sBcjAP22tbzNHXPmgAjOInJi7VAql6oTlsjvgC5gwN6lDyYkhoD6q03tadvHhRdJcXgIL2aRPL3majy7VRnSAPpOcbm1c7KFvU8fTsri++beYJQKeBpIauolb36hjnjwMuKWG6GfAwHnC6HfEqXZGFccojriXh4/MR83nQ4K8SkAnpQr0Rtqu5cl6pYNsee+5Ugs1BIoFYP2ExmiuxZlUUlLCxFzHhkgbJGdJWKX6ta4TSUQlKIfEsnBsoAlxtlho6xUrrWM3BDt72hvr4kQhSIrRrW68j2hLJHdxmlPk4KR1m7XOo1w4TkJ7UCCxxQE4NjzXgnIr2rKzc96auO1NWNmX0OhKWW+AlHU/XoPfddFSNRFB3AQikB+3iC3LjhH4uurOlhluA61kBr0F0J14ss/EiswQCqrIQFLSSHgC5YyAWmHtLFL9WL6cAVoqVA1SELuagCL/dJ69rXtc0gS3bPfS6U3NqwZYlBmjQeeEro1HEAx8wl4Db3YyvD8+YSsJfzl8gt4Afn28wXQeUSR0AV1DkYkyACZYVXcedmgaCVMR6iNb1ZgEFc7b9FAGthzZaeWcveJBARtH390b+LUceQW0GIBBiEFYaK/V7c8fF7F6ydWaXDov0tf6ifEA0e6v9cpsBB9LXn3BY70W0zyEV9JrUOgC1BlNMhoEhBhpA7VQ5YKNOKcb0IQABnLn3PQexrTfprY/AhDZGy4bXdT13Gr4FwK7G3Ned/k4Sow26V5qpKee9CqZ0SmpQgBIWiHImhEU6O6jTeQ1U8NYpvqbJ7CzYavq2LVQIgB05XtvrttO/n5qyecIiL+ZreNbn5QOvNe32u/FB63JdaCk/jvihMWKqGJJmBN5flHb4fNojTxGYA/jKa9lSWc8Nz+R1ATNZKbDiNf/+YnR7/WI+erssUlDH2CXIBeHDM6TN/RIy6J6VxYJGUeGgaI79UgOuS8J1SsjXpOCh1dr21kERKAZWLOTzsAJt4Yqu+OvjzFXBSrESobAooMFJ/w6z1q3Wne8Nwsf3t3hIrVM/Q2jYjwtKDZjmpAskqO1to6BYaQ0XsvpJtVsq3qLnjnehcJAlnTcdAGD+UlAfJ1zMP9kyGuylYI0yqXafNhTw4PRyv6D904LacEWvu19L1FawjJoq9+pmXfeK3zNXFWCSBOSddD8NDNTbCowVsugZT5kQn62H7rIChmL7ZboPnanHRYBlLZHirGfgdBjwnBm/Hu77Gokbp6eB8MPlFqd5xPNpvzICy3qeaIDouhZm96oy7rbt17iICVOuAKt3Y6AqaIdk55aOTS/zGSLqMaGWzSHuYy9AWxiny4gYGw67BSKEhw83oHNAuJofWgjnxz2uw4DdThkOFBvKvds+v6b6ZTUzqiSt170yovkIAFAuEU/xgFr0fJIE5PsGFw/sQE8N6joU7iJMbdcwXQf8Nz/8EWojjLuMNqio43xNmESNmswB4Sno+f3ljHG3IC8R83UPYkF8e+3f0SphzoMyK2h9Fh1zQnrW5y83wPxa6+jTR9VmyF9ljDcTZtqhzRHN6m/rILh9fcGb/QXvww1ggqP9nLkG7VcbgPlNg+wbpiWp3xi1FSUEwBzsc3pP58cdLmFUIdMGUGqaoCisCcVEWptrVN6WlVkIq4NFViYBXRnhYuuEsTpKQPd/KDXcpBmRGt5dbzDXiN2QQV+eQST4Pzz/p/jNfI//5y/+BPM14fbuivv9hOdpxPkyosyqbt0Sof1mh1+/H60dnI6x96kuH0dMcUC4MMKkDIx6KMDQcP1KkG8UAB4e2NS9bX30pAusr7i8mL9/1+v3D3Jr1cN0aMpR52Y+rTaYzkGFOMjkrj0AAAH5Tg2vO3acgWj90NxRdcXFkAXh7Ai/HmDp6kYAnY7o7TComrrwjlRCnYD0ECAUUN4CdBDUKYKuAS02hJui/aP2FW1oyBwgSRs680K9TRKJ0iHhQR6pAmi66KHddqE7HxCAJgGdJ9CSUb+8R7lJ1mLDEGYLXtRJaqvTk7w1CkxyW4uv694u7Q5P0n8Py0qZAnT8yp56/WG8KNUsWk+zMGuishxs4SRDRquAF0JjYHlTgdsCnCLSozq/+Rbd2enPuEGmgXWc6Gr1PBKQbzXTyDlAgqCcGPN+wI+V8OPNDQDgnAdMJWJ6GhEeYn9GXrTBva4PWEYBLyjv24BR6VSsBwLskEDTzIqLgQX0bC1dF21jI6KZrVIh0wyRZfNQej2a7UAR/VJv1C1CGlQ3a4UgtnYFCEEPrxYJZC076kCbjUpoUZA2SsJrCxbpgAlERVl8jQgTeKfGJV7VOW6j1hC2Qaktc9LaIgRVuevBR1SHqBWgLQSxoEGDa6jBHSyIXIB0dYTWagYtw0WlKeJvtFit5YM6ok3tw/pQOkYCy54lO1gNUHKj5TWKW4QfYgFZ076ya92z9HpBVRNHz0J6PZqzDvS51wPIa3H9/7Bsu/eYVLuihy4DkKbZrPRczRHf7gEVeSv2LPFMqDWgVMLzJSLfR3yxv2CpAb96vMc8R+TLAMymZjmzZXscENR97+UHXGTNHGUVhkFpqobMq71/EWwpXQWyS0b9FKMp02/Piz9KCNbT0wIeS91z1PdX32c9+7Pa4Gaqpxzxwh5ojRF12+2ZRDYwLCytC1HxUte5i6xMAwcCo47J+CBKjY7KIipZhaXqQVCPGuyRofd1RBcpdNqtjOv+pKbU33RpZkPYWCkVXBrqIaIm1j6F+eWYyRYg2PbNJYKEoDTlFLR/aCSlICcFH4vRhHt2uSvg6gCHTUlP1xCw7H0zen530pqVphAhH0xIxzEEA6B7bSYrIp7O1IEaiD5/PKtKf4uEeGkYPk62pkY0u/eWNAAP8yoMVDIBFFFmRhkb8k1RrGsJHaQk73c+wVgnG3BUdD+HSbrdU6Db1pPrcQBqv38XTc2YOX2cAIAJFCNkyZCHR7SNPW+jCi/RwiiWhU6hYmBta7UUDSDzNYFOEVSshVIC0jOBm2YEm7WzqRZoxWdlv6STBo6dzYA1S11GZaWFrOu5RfODREHcdG3IRzVinAn8wwBhYHmTEQ8Fu5srvjyecckDlhxRG4Gj+Q4C1CC9TSEvhPEjrWytHazdn/pEdSBdE1PD+DGjjoxydFVvveAADXJpWNHDDipabR3PguFpQR1U1Kp+xt7p2gKkc53OtoZGfXb/ndpjBQp2D4L9R6Xzzq/1Pv17XRG3joJ601bHh4Bwo61ZljmicQTVgPGBXrRk8XlpIzBbKUycjP3WpHcE8zFqY0C5Mj6kGwRuyNY1BACS2caH571SQee1r2dYdJ/VvZa5uGq9igo6mNQQpmogSEOLjLIPPaPLVcBz1b7LQ0A5xjXgh5+dCsblm4hcN3VnwHp+ZkY+D2j7gq/vnwEAj7+4x+6H0M8/LkD7lNBSxPUVoY5aCkL3Omgq4UCQi+6JeGaEC9ma0msst+pThjOjOMIWBAgNsq/qPj5FDb6gAZo00ma9AmBoQGio54j3j6+AXcPbr55AJPjw8QbtnExBmZFOhMP3yiR4ekO43c94dxmATwPk9YI//vIjAjc8zjssJeIDbjCNSX3RWSmx7lvu3ms7pKefBUw/qcCVsf9Rg8z6k4o/+uIT/rK8RXuKaLsGfrNgGDN+9voTvhxP+At+C3h5mk1BOOkzllcV4bUGoLOJ8GGw9m8Lg2ZNysigyUH+lIydoOdm3QvyTdE9MjYICw53Ew5jxuNph/w0gg8F3759BJPg1+9foZ4i4oUxfPKDQm2jZ0ElqH3i1HAbZzQQ3p2PuM4Dvrw74U9ef8BUE/5Pv/pPVN36z2+wuxCevos43+/QPg7Y/SYgRGB51SCD4PArxvggVsJqY2DZ6nhyRpH6V8srQWMBDw3lW0EuhOGHhN17A+euepbnG2U/LHeivXMbDKT+u73+PQS5ZhgWRSaapdZF+IWQk6N0wFpD4RvVKQPeEgZAR023YhohKkJLBRsUd3szn/0fWA9yQ1KNA2rvtyJxIdSFrexJQFFUBbQKyGpKmtWd0Yba068Nc+ISd7TNhUaECXLcab1i5B4gukotL9XqXz87uA1h9Yyd0klFxYUYKgBk3++Uqc5hN9pdmKUXaLuibG/svnGuqrcQsmcpB1emU2cD0RaX0UO5egN1CyDtPl4Enb42qnSAAAQNNMlomRkoU8Ivnl4DAOasYlSwGu41M4N+DaWy6XfFeZPpEP9+sSbpq7O/ivMAL2jhpWmQW2qvV0Sta8Zm60xZGwsFJAjtqsEjJZPfX1hrIixju10b7qxRWOtCywFrYO5ZsbrWz7EHgvjbXz422lDeahmyBma1kDqFRocWa7wN6Jw2NNSytvTSLKnPsS1C2y4he+C9cTItYNlmWV600EKDfN5maEPX94zHFqkXhgV2m8/45TuQsfkZzCmpay2+7vU1QAcZkOPBr2e5LIOrfwuqOJqN3l6CNzgH/S7nGujoO0id97CI9rltAKB2cBkjPly15uh6Hax2VDMlnK0VT6G+jzuzxQJB/xl7htGVpV0UaRvYbu9TXFzjs58zo4uVbH7Oc+79GiVQB2qa0yO3l2a1Ky3ItqzXMuXqlPaWE55BET20OQtoAgiesTPleg9oLVgkQc9owGjSfR1UvGSRCNB7jJooh4tbdCG57f1b9l4zKAQOhEACKaJgXF6zr9QADvwCCMcYVtqQmPBXW79kPWZERek2ttLrJL0lmO9BzeDqevJ2L52u3FkhgpA390FYFcJtf4j9vLN/SMGcbgOt7RUXXQraSUADZzYAR6IyXbg2YLG5Kzqv3u4vTHpzWjvIqABqsBRy0fVNlrV1VdYtvdcDD7bsbaepi6gmBADOpqRMJgLWoDRkb/eUXKXd968BltXsOaAdDTYCa+LroRDyFPHj6QYpVtyO6oh6SzhkBs9WSlB03Lxmvw16dvZWewBEGYG9NUnfV4CJUtn/q9soXyObLexzPBt4M9pZDHTxoKloWU93gxgANaVkFxUuKweABg10W9JypK2qdbfdZvu9K8NWnAkCZSMcBgVrbL2Hua014RYg1TGYngL1EpJmZVHuf/USqI3N3zJ2urDdJhDtfqD/u3/OPhw2H7BaTVdFBmvNaDmovxEWrN09ivtOa806VctIxfU+AEG46Nwtzwnv+AbMSmMnQhcUas2pQbaX2mpz4klvOl6pi/X1c8joyCFbN4MqYAOA1d+xhIj5EdvSJmzWUNfV+Fwvw7QNGqm/EmPtAmuSlEraS1QIPftMpDXpACsz06nxjTAXhhCjHBvqqM/rPXRXpXebT4LaboJmJgGwieuBbd2TaHArsA1kk8wAhbXNETlLIAJStatBOVBnfi0l9GywzAG//PQKALDMCc3acmFsa/16tvIR0ZpsYevUYrarGDu3Fa0ZbpUASxTUS8RUCM/3Iw5x6TT63gbLl6gt05a5t5gEQamOxipSUUXqgJhELRKSY1M/c19xOM5aFvKgNxVCw91uQqmM5xrA3PB43XWDQruKugtah26BpYOdbVhtbcuMX5xfozTG82mPmhnPw4gxFvXHAW1zeLDzg6HleX4uMdDbR9l8aPcWnac6qh0Znhg0r3aAZwKekypCb87mDvi6zIi1beOdthL0eAdbH/Fvef3+6sqlIp4F6YGRAdSDqbVl3fDS1IFpg6b3qRllZmPYtD2M9elMOtHLq4Y2NIzvItpHzQIDrJmU05rBaFEFQxwR7oq5XXAGiNe1hrFZcbwAIDbHv6qABhig+wVpLCipoe0ZrbAGwI2wGFo4fNT2Ga46qVQg3SDpVBEv1Vo/6J/rt0el6EyKxmlNLINyQzjNGmCl2A8Qv383ttv2SPGiRrhY1wRFxk0AanY6IwAI5GJTtFuFfOoOJpADo/IpEsoXRcXqKFi+KroBK2ngti/gu4ZaGPUUwQtjfMfmmKPTWYenAs2QsAXZGmyGPSulVVbqgdY/EuTdgHcPb5XGszMa0FNAnNR5lqj1EWHSsY7974Z4qkb102unc9EAd6mgpahQxuB8U7JDwPrJ1aaS+61BplmdIWvl40InL15L6YYrXBh00r599bZCSMDnYH0UNQvJFWDrye4iSD6JdQSW15o5Ymup5bU6KrwCDe4PrM7usjq8WwSXRFRkDNjUvAvimdAWpTTWTuNmSGpacxIE4SbbvUW0XYCLHlC11gzFDgpSqjtXP/y07UqcWgcVOkCzEZFCIKv3xIuMbhujOs9EiFNV6uXIvU6xJctcPmBT14ZuTEnW7GGnyxfoPZg9kU3gkc42fXcE7IHqapBRUP0AGStCFLQDIVvtDZ8DeLa1t6yG2anVNtQA0HtNtkFvslkmvyWtU6t7QV5GfF9fayD0rMIcriUULoTdx9UBVirbSt8MWddAPBejzdoBFQiCAFeRJXfs3fknWm9yG8z671qD1Nbr0AGAPj1h/+kb5DsV9Fvs0BdvLZXZl5POGfneWkGuOqrTUXbAcq/fmU4vVcfTybKPlrlBVAeaMxtYYweqzXeDz+1q28Nip+wBq7OwsAIWm7mlIJgfB9RHtgDLnNIkneLuarNU1v3IWdbWOgTwEl4GuUGF03ip4GsBoapNEQHtBy1N8DVaxdL8GyV8nw6jLOr7NLgIk9W/2p730gEJCl6GS+1BRkuE+dbr0tVZdyFBCUC5aXrOjRUcG/Ihqlhf8RIiq0ELAenSkM56vtZd1ABgaYi19Ex83UXk24QAYPdJVCilKg3ZM149gIc7KWrDXQypMwAsoxscsDT9AVRBnNU+8zWDpgUSA4g0RUK5KONmPyod39dvrcB1BkqBlKL7IUbQzQ2ozcCDbYdgZRgTQUrC4+keMjQ8v5kQY+0t4WhiDI9GGXRAezT7sVe6oWepCVDWGNRhfUkPtz3tAkqzvFhL1KBgqQUHnIHhUR3G5U1Rx1oUXL0CeA8NeItlE2PSlnbXOkJmhowN8QulpF6OA3hms6GCeOEO1kdrT1ZHbYvY56Ch+xPlEJCPsZcacBGkpwwIUG6T+iM7rWdtiXrmJd+ob+fBKWfL5rijbWyEbV2zX9/LHxpTtyc92DW76RRjspYq0qBBrlG6mZv6EPuK6Vv1Z4YPAfFCyt44O5NEfSYXPFtuVejTQScHR1sixEtCOUQstwL+ctJtLMrskqp/U1Ymj7JRdG5vfgHsPmlA6HoTuj9171Fj0HNG+HgG71ScFAyEi+6BNsTeWlJ9ATv3xViBRKDSEK8FsmXpeBKkEBAEh5sZh3HB250ejH9xm5EntZkStPQoPhtbjQQ3uxlLUabDLhV8ffOMXAN+Qa+xzBGH44y7/YRAovW3JeLj6YC8RMg5aYay2zkVgqKqfqcLEqERKDUc7tVhOv9wRHwKKLcVfJsRh9rrg2MqkD2s3EmQBy19kqAg4/NpD6ms9cJPAfLLO3ABDsbiPf2sYvzmgrxE1BghmcFF6bHnW6MYQ5AeA4SA6UsLRM8RH6+v9Ew6VtDMGH+dICHi+/2dzgsLlvuqNuOjzlU5Ng0oKwGnhHhi7N7p/rj8UQHtC6hEhCtBkrkxUSCHChoavvvqAT+9fcB9uuLL4YQ/ffwOf/rXf6wMjT+o+Pt37/Bpd8CH4xHvT0c8//Ud0ID45YTbVxecUsN8TKBLwO6dUojLTQUdKto1qF04RfzFz78GKiE8B4RCeFgCLtOA3Zjx5njB3W5G+YMTSg7gwjrGZHHEoErcCILpS/V53F+rtxWvv3uECOH5X7/GblqzuekExJ8r1bwcDIQVzdiGSUEOztqikKuVSsmqC1TnjTP8t7x+/yC3NQt0FLGthtSIy0m3NaDtqJ/HDz3TZY4nBLCeZW1sQGrqiESvU1UUSRiKZG0M8gt6nL/MuaCyGlYiRdia8/8BdeaNuhhjQ0pVURlSeXCNedRIAEBLobdg8KxqNQGQGEmblW+MsavV8kIOW6HXIJrzKV7fta1lNFv2gqJjhtyDGrYMmztHG0BzVdK0AKZz8DfxW6859p8xQEMDDxVtCSpsFQQhKs2kWnbVD5k+l/1epdPrvIZQUSQBSB0LEXNUodeRrONRHYk1wSxu1OuNvV7F2wWpc6TtCBzlhjlhmp3VBUFp4+Q7UuxBrAvyAAApXQQVcJrbFvn39eriQJwBJKBlAph6W5PtOvSx3qKkQlCa8LA6usKacVRBJILMOolCrhj9WYDrWQgyh7FaUFzJ2pJs/riSoX+ERFVko65x2Vm22AANqQISBoVVbqh5z2gSnSsX6HGU0oElWPDFvtE3A+d7rbdnsn1rtM+e3TWknwAw6X5/kcHtzybr4SlKgfaMbrP94QGxjtMaRAr8vtUwUzDkn6xOnQCZvIf1yzXudqzXATZxxrnawapvCIveV5g9MAHypHU3YVprvoRlrU/0/dSDHfQDgWzd9nZlvqY/f33+s22G1+/ZaxaZAW7Y0gUkZ60D7o65rvdqXEENVO2g2e5/rFPe4prpajt9Q626z6n3IvRaPB3gXpvp98ufza3o+loLt33tG3JeSOuGm33W1D7jUBFiwzREzchyXwGQpP9SASJACiFAA2rNQL+04whkCLaO5ZZi7xkx/c/L3/nLFZtdlA6+bqoBNbIZB5tr3ws9q+2/KxY8bLKDnsmmCiB4cGxAbmoIQwOHqnTDRmhmt6SJ0VPdJm0m9cU2XlWPvSyBq9oC1UewM+kzLTMHDhwU9iw8tVVngzdrHP36rffV3p6TnuX/nYJ20PsXt+9bG745W3urqgpznAhVgJw1O1pLgLhavumEdFtuCutO/xbImhmxs7RFdHGYbcauNVeBx8tspvrSL2x3FyJy9pbNccsq9AXAsomq8s8kCKmhDA00NKShQER7PrfOLqIudAZ/HvIssz1DByvtHNroSnBZBdv0efU9nUFABqIHX/Obcwsv10Vfs9tf+7lgP2+fraW+F7vtB4TMxgPw9n7Bso4Umq4TJkjmPm89g7xZg762VfyO+hnTwRiYPWcNumt2MMfKl6xVDWXbV6Q+LVeyfucNwgEYN89h63LbUsvXMDaxqg6G/sXNWsoEszPWmk2DWdFSFr90JfXyHRiwgb0UBYaYG/Juw3AIss4/gGwtEiM3DLFgFzIiNQxJxaZSqEisLYL2Mfc+uOKTs50vQRc7Up/bJjFzd938njsldXPPBF3vLRioQer7lSAAC8JYwaGBQltLHVz8085tiYLdkFUoKwSzffrlXsrkZUpiLADPRHMmtF0DYtOzrOld5SXiNI+q8Gz21tmRLaGzLvuZZaxGypbsEvcF0EXSKDWEqAr1AxeMXHDgBUMofUyHWHAXJzTRVnrPacSz3XuTtWWRt73EZ8urr6lKSpmu1EszS9ZSvIUF16yCXsHGvRbWdmBitpABxNYZsK0vAP3u/ZDRhPCUpNfb+7lHszG4AjQuS1q77XpBwHoW9/v382PT/ORve/3+dOV5QZwE8UoAGKXsNCLf64DwZT0ovIE0GVWj3EgXfZGgyE79Qp1vFDUYKg6g31UW0novCeCimUsXS1hrVE0JctFJlRN6DaPSfoD2KaBO3J0hOVZ884cfcUhr/nsuSp3NlTHtDT02H/EyMcIUVb7eJPGz0U3ne0KYI+Kk/H4AL5Q0ASjKu2NIJHDZWxYooCWtpdQaZv38qsq7jnkzNB9YM8nuJLREvQm8I7EkG2eiaC2V18iN7wnjx2CKZQ1tL4hjUZGL/QIiUWGOHLS4Pa+0trY5MHR8uTvhitSroxGmit0DqyG3uco3imh6M3YSgD/SSm+BZiTiVenJcdpk73w4i9aZSncmNJPAi9KPqVSto3On06kWY0RXShUBJdsGltlFipBxAGQBnmzQA2M4C8aP3Gm1Wr+j/w/TmqnqKr19bGy9HxT9bwmatWbRGmshtF1AuRCSKcixPY80vc9O0wrUHWo/mBno2aAyqho3oBnYsBDyUVSMY2gYdgUpFbzaTzikBbkpSnteEp6elY5T5gCUdcG1nQrPhJkgH7W+EWATpdIsIzWtY5QqQOCXh3ZjMLdNUGiZxiqgcQ2W49QgC1mtn37UKfjpLEbhRKdyctbrNCIgiGVcNftG2wxwD8bxgvamVChBTFWdRG6I3HC6jKifUgctOh3f7qXXRy/mhNtz1pHBaTXiLQMuchQWQpg0UxInnS8XagpGx1GWiryoc10dLUPs2/p9VEXlPzuFaFMj6v1DjbJJTZTOGdiQfw12iRnkzgYAiLcR0UA3PWngn290DWqWf92bPXvORlPaAfmoau5tUAERsGCxdZ4+an0cGF3UzOvg4lQRTovWsXrWYrGDFQFitXrO2olXQcuEnUjPmssroAb0oO540MzFRwBTGNGBV6A7HvXIve5//KBnR7XaeW0DpvutGm05TJattdKLcMnghxMkBrTb/cogIVJGg/saRbN+42NFuhDykZGP1JWoCdTryX1+Cer4S5UebPDSEBbtN1iT3WeW3rHAs2SSNOvIR82GDENBChXLULGMBfmaINehByZi6xGw9T4rX1h1JiLCtYDnYuBNQxOGHPX741XHqu6g5wNDW0sRulhgvIpmzzZBebo2ZaosDSFrbTZPGVtFfDBBYjC7rOq+DPQSE5rm1dY4zZ1UtEwV9ivkeoW0tfYgPi8YnlTsxM8yKox8iGgxAI8J4UoYHlVFVUzjAl5aZRQ7Wgiybzh+qwfF+XGPNgXwEkz5XsEeiUCddZ7jrB0iyl7XgI7DmlUMSwO1AAfOqASj/el95lvGUhjxmPEPvv0Rh7hgaVF7iL5uiFzxuOzxm6dbtAYc7lV85/K0A84REgT5TvexRMuWPKr9rIOyxKgC6byKsqlNI6182REuX6o4yO6TMtfitWIEsNxF5FttPbR7r/df9ivzrJcWWcmRtxhzCjgXQrxqHWoZQ6cuxgtsDrZnr7UEYgUq3Ybvhowhag/yOTRrZxnQSNBSUPBtVFvFZ6zMQGvr6Gep2LpwMBnFgt2iZ6u8H7rvSoDWp05WV/2M7o+iuajbKghHNgadvh0I5RiBdoMtcFyO6nuGS0Y4z2bzKyRF5C8P2g6wBrD1GA+nGVLXdZ4+BbSvgXJfQEPDPEdM1wHv398CAA63M1799IJPj0eUxwESRLVYAOCU8PFyh/FuxuvbC3ZRBeWGUPDV7QnXXcKPDzf49P2dbsggKhL6ISIthPa2AndZ/fisoHGzMqC6b6BDAR4G7H7Ulm/Xi+q1xLOJfBZCmwMK6/imUHHcLShJe28HFrzZX/Cfvv4VAhq+n+9xLgN++fwKn54PKDcRl1uVreedirZ99/oZ3x6f8NfPr/DDRbmvdRAwaxINAOpdxf71VbPRDwMo82qzgiDtCgoL5jdWnvZxwIdPg6FUArop+PqP3wMAfvh4t/pTVVld0xe6zve/DgACrt801D+cEELDLlUwCwbrL/79pzv84oc3ON5M+Pb2Gac8QL6aUQH8R69+xD/Y/4DTsMPH8YhDzHj8WkX+2uOA07ud2hRrx+NnS3wKkHPovo2XRKC6z6ilB4WB+XHAu3xUQOIug4OgnRPYNFpUAb3h5osLUqh44CPaVR1f71386XQAkbYDve4C4oO2cRqegJvvda1dFmVPLPeEPAjKTs8SAJi+0r+bAQDxQgiP9KLjxN/2+v0zubn0OskwA4CiXDkpEuJUKC5r5M1VYxkJmtWCfgyIgt2NbtDpNCjCsEVBvc/hYM7h1egZRKvCnGUIO7U0qqpwM4SqWSYFsIB3AMCCP7r7hPt0xaflgKVGjKH0ACCwysJrrTHhYnUMZFk/yIqMtmgOOgHJ6MI9uO1/r/WWLQVVOx5DD9ABc3rbigZtUd9t/W3Y1MF6rYrXJ2irHdogSErzJXGhIEK03olKDRWIIUgxVuxSwRAqnqYRyxKt5szAh03wtvLy9ZDQelisyGNVpwhAp+C51Lk7k2jaw5eN+t2S1nsNTxsKtqCr53qWWEA9sO6ZIaNi6mLRIJei3mxXPUWDq3aLqUwQALQGGQe0m/FFByGQCa5cV5RJbC0JodfZkGVlurDRJiiXpAYBDCC1fjgTQVHAxghGM+41e5t5972ARmurFRNGcsqXbLIbPVOxh2YsY0NKBWOseLW74i5N/b0f5wOWElFKUKX8oqevJ6hqVUpxeia0avfrQSNg9R7GmKDNovclKLRmupqAnG5Veb1GAQBZkTtHP6uY87fJdBWslFb7Ls/2AxrjaY3nehvr/vNx1fQDsyBwwxArhlhU/dD2zEumwsZWkQEMZa1NY8twApbxbIS6AKEr/sLKFiwYj7r2u3JyNac/b5RJBQZqrJkiOIAgTu20vcdQe9T3gyqKU/b79r2x+T9jTbv4dJXW6YPUmrFUvAbTQAYv1bA5kgBkplUB0dkKSYNcjgZGPoU+B549clCIioBm43GPzhF0e6FQPAm01IC0dEWdD0LLKqzjGSVYdn43ZNykBdcxdZG4Pp2VrK2IAn9oEYPVx6k914pyFxmTyAoqAAoUGBuHcgWmGTQOSitMLxk5PftYdd0rIKagYK8v/GyNwr5Xf2jBrmVvtwCig19bAadma7cZBTFEbe23SwUxVKuta6pq6nuBLdB1ANFpkNaLsyVeVdRd7dWeX4hWYMYyf34tD0h0/6797B0o4lnPBq6tCzJq9nYDvPS1yr3uVqLSg7GYpoKv7S0lH1hZC7W+UMvnqZiAlu3Bpu/NmSFNkK4KesSLglI1ATTCWEir3dNWMw1f3Z7AJPi3c9RezhR65l0FHdU3eAECC5mWAsBGGw6mMK6q6pbRsnnPN9QVrZvpmny9f8Z9uuJcRswt4M1wwdt0ws8vb/Hj8w2EqLeDma6D3n+wjBUTasGLwMsVhz2TLAWmqmAHgZVRLbdqn8Zn6NxlLROqA/cNli6ygtMG4PS2Vu0z+0rruLq+B+D3pX6kRJ0DZ5G5qr5Os2grKG7YpaK19bFqJtvqSNf2XegqzkKuUi9orIKb1GRlmwTfv8DKIoLW906ErahhPJMJBiqgI4TO0OHPz3MA7GNg+159sLCyQjzBEbRNpvflpjkDuwFCR2UNBjK731QgrKwprjhpOT2NaodbY7QlgB4seL6/4qvjCedpUJEo800AqChiZdRDwBhqV5NmEhzjgsQV3+d7xAdVIJYgoKxCZyosRAipojXW7WwJAQ+IOakYaDrBzg3u52H3H4114t+7iwU1kGU4K/7k9gP+l/f/AgEN/83l7+P75R6nPOIyD0ipIhuN/4ubC/Yx44vdGbdpwofp2H0VdUWluyw0Vry9PeN5GvHwOLxkibLaU2VIVKAwwonB2UCoUf3nf/LFrwAA/49pxKntLLvJWgM96gIeP6pPef1WcHMzIQb1ucmetQrh08cb4CnhVAnvWL93d1gQQ8Pb8YQvwgkDFSSqOI0jbg4TTtihfBq0Dtz24rY0onckcZbSpkzSkzTOIOErY3iyMsYxoA21t+byOZckOI4LdrHgNIzI3mrJrrks2j86jJpoqTNDzvqd6bmCRBTsI7VxAOxMlv4dnY3XgLasvuHf5fV7B7lSG4bnit0H7hL1Eglh8n6LdtCeV0S0DpqRrVe1bG0wWoCY8wxohi64wqcapXKwOpoZgAjyDaMcB4RJEC9V0eCrerl11N6FEeqsV+sjS545EVMZO1TEoeJSBjBE+/txxVPe4VoSDmnBH9w8oAjjl8+vcJkH8L4gv6Yum96NXwXGB8L+vWUfBj14O41vYLSqCG241m6ge/2waObChaPqqBPfxXOiGfped+ufX42v1jehOzzuTDcz1sLc+8pCtEa3mLhVPDFq1WxIIHX8Ize8OVzx5nDFp8seT/MtGlj73kY19NWCan/5QSeRQEWfIV5X5WjPVEerJ3YRFR8PKqJKk4sG8U41AcFocbKKK/CaKY+X2mnK7WYPqhV0XdBFSJpoHV1kA1wqei/dbc2iiB4WL6JcIFwbhie2XntuEe2XDb1myQ0KW+/KYmPVWxANTYNb1joSsYxAmKij603Wdh5Kp6H1uwQrkICm1zAhGIggPQtC0r3YTKUYAnAQfHlzxv1wxXf7J9zFKy5twLmMuBsmfHG8IDfGUlSx8zoPqlC5aKYrLLSu2QA02VCPPJO/Maaa5bXgJnCnUIJozUzCHJqytg/hHBAWfyYd0zi50vQ65g6qqKNv9H9aHX+3HVuqUKcss4CiHrT7ccHNuPRnB6CtxIhNP8Ac8g1NlxhdHdppzd7HGEJgSM98Ah4EqHGOpgqvQYi+x3torm2bxPbw6oQJ6feqUrIjhdL3jN74+jfBWAy7Qd+XvaZ3zaprH+nV+af9DtRsvJ0pYIqR2mLDbd1qg9bAyOdFVsBspwPWstbxMNB7g/pn2NSjW2LgbrRSDruoCVEJUacS8tJQG1AO+jtVaNUAW+z741AwjgU3w4JjmtGOhCFW1MaYclTxlDl1VXQEdVDybUCbrXbU7Q7bdYlApC2BKDCc3tl2EXx/C8SgwllEaj8E2k/bAFbZtGChKojXhh24gzhbemSYrdd0YtQxrvtmc7g7aKlnhYEGbpNEQZdW9R5q5Q74BBYAFSFWZBNKKTudSFUaN+XzQ+rrW0E0daK9NZKwqjKHxYOB/ngaLFkrOs+6KeNr4/0AlrVUAAAuqEakkVVngth6Lav6tusqYEho+0Ht/mILNSqNgy4T5OLIus5dfy15pc0VgGY9N3nRsXZ2BVdlGtWRkG/QhRplNNFK1l7u+6h7KKWKNlbUQ0Be+MWgaCcDtVf5oKwO1bVQRpruAULZc68F9yCqC1BCa6xvv3vGcVxwrQkMwbe7R9yGSfu1SsCrdME//up7LC3gadkht4DzccYFQMuMOgfwxOAH1TtpkTDf27lljBhfS96z2dXsqQHjk0dnQNkFyFE1Rcpez9ZQ133tLbHWdYQXDBkParh68K/fna5NBQXN9qiatdWem+2hDLRzguwqDvdn7FPGGDTYzTVgjhFTiV0ENd9USGJwDkhnmGpr3ABHWIOdpkCDsKAYIMlFQBdlCknYrHs/a3zvmUkNed2vLan9Z/NrnJ1EZWVChUsxGq5q2xCbXzwGyP1exz9XSAqoe9V8SY8ZfFpAtaqNL6s9v/lVw+lOuyxIapC9rP1HG/D0/og/O+3QrlF7jEeli/JQ8ebrJ7zaX3HJ2qO5JMYxaXHrVCPmGlXheqe2HrsGNOC8jwb0C8rH3VrelpWpRhXIr0ip0oeG5TWjDoL8hWnBiI3TWDEOBeNQcDPMiNyQ2IAL0X7cf/70Jf7Ly/8CkSpu0oxAgqd5h3mJXThLhPCbj3cQIfzb+BoxNlyeR9DHpJjv2FRx31+XiF/+/EugQWvtG/o+5lPElHktkWmbPWrBWDkn/N/+6j8Ac8Myf6Z0XQGele1Sd2oPhk8B5/kV2qEBtzp34rYjCOi24Hg34bu7J0RSpkbkhmtN+Ofnn6FCezj/ON3iMo3aLvLLGeUt0M4RfAm6BydZKclV9TLyjfkPiyaw8q1qJ+U/mPH27TPe/XgHeR6VQr5Yu8yxoewaaGHwlUAz48d3dyAWtEtU3Q73lRqD3qeVfSNAtCC1HIGP/9FowS06MzRMOjYyaq1DOCuV2uNEiRq3/B0Tuf8+anIr0tOC/cCoO0I+6OFXn/WGpy8I5agZsMO7ijoQ5leMmsgU/giFVJVML6eQIllNFYB+GJW9BURm7PNRG7qPT4J0KipydJoVMb8bVTijmSJyVWqYNrBXI5lvAT4UpKHgajUKX4xn7EPGpagDdIgL/tO7X2JuCb8536E0xjAWtFSR54jKCajQRVAI8SI4/mZGPkZMr8OLwKQNhNqC3ufkVpqwrXvSQD0rfTkmpaeJo986Xu78Ahb4ssWATVYQAFgzELQa5Dq8pD4r+gTNpD6vBzJzQ2JVtftid8Y3uyf81fgF/tXHo8WMSmGNO0O5HX0DDF0EpJAGEktTAYVAyMeoh4Xz8RcBLnp/+aD3xhWAOX5stHMPKuNs7UY8eCIFVSAAzwV8yZB9Qj0mhJlBU4bX6TraryrXYtTOz2iglgXWbNZmGzEpJetJHRAP7Ld10BoIrOMrtArrOJrPi1LFOWrf0mqKf8GD3GrIcC/oNRBkU3fsdc8a0GsNmQrNqEEenqVTFp3upUFuxR/efMLb4YRvh0fchAk/5jt7vAYc0dX0mhD++vkVHuoejaKJaul1VvQTVnOlxrjujL5jgEqYmga5tCLiXisTcgNMqdkD4XjRPcxLRJjWXtPAOs76TO6F0G/Xe/U//jmsn29rkA4CyBgLN+OCV7srHqY9LvOggc+uorEY9Vszb2FBF7kjMsEzB582NE+vuycSRFvPNTlat7YGciZEnATx3MxJpA4CuLImz3XjdJJS8etnJr6+BGRgmUOkiGYCQjxnZTb4tUqxftArvU32O3O4VgdMrF9mr8Pb1mzSS4otRAEdGRporBitH+N1HlXJktwhWN/vYIiyYNJaF4cVSPCx5aUpnRUANQ1I6kgmXIEelI5jwXFccIwLbtKMXSh4PV5wKQM+XA8qprJErefzIHbQQ9/nxamEL8pNaC3L4CJAaSqmFhhe+wesASG3oP3Rg5WiEDoNPV6qMlxcV8L3Qlsd/UYaOADoZQHreAjCpOPWYtDaNaFuOryHca3ez1vvLXBDYCDGiiU1tMp6Ngl6/+4WCLL7LMNvGVwZFJAQA2ujAGUf0AZXfpb1zHG7SArkhGvrLJwX1/Yguu9PWumjWa8r1EBL6QEvRNAOo9r6qYCzKcYeRv3cspHfJOP0+39zXsHIasBTVYotiZZ9uA311jv5Rp2stm9KzYzKjhl3GTuTgx9TQa2MeR+RvRbZgv3KpNUDAyFXIJ6A/YeGsAjSuYCKYH49qGBl2thZD3jNhMhNxT/5+ldoor3lmxD+6fCAnw3v8MvlC/z18gav0wV/sn+HLAH/3+ef4tN8QD1yZ6pczyMaIsLMSGdBPqhgVJiUUbWtsRVb/0yeXRYMz07XB+qOUfaM5UgGGkivPeSi66EtDlgawLmtd7VA10uq3I+Il6Y0Zcse14FQTbS0lzQtKpZTSbBPGa/HCwbLOi4tYKkR5zBgzhr0yFHbJNWTqvy3BCw31jbsuoq9OVhNIl0/QPvmAljEACFsaP6+sND3wOf+QbNseZy11G78lHv/W2U1FPA1a7kGW3BUDIAbAuouWCKjoQUdc2cH8OmyAS7XTO7Nr2bkbw4oB0Y9AmJq+W5P4/sEkqTtvjVfo+MaG/4n3/05/tnNv8H/8cM/wT//9U8BAEvTrNxUEuaqNkfGBtpVHO+vIBLU14zWGPNvDhg+qI9ejw08MdKzrotrJYQgKLuK+bUKpR3fXjDEgmhqyr7mhqABbOSG0jSge847TCXix6cbXH48Aiz45g8/4svDGed5QF4iQqwYUkMuAfnTCJ60XjRDA614JtRBsBwFNK7F4/QxYf+jxjH5Rrp/DVgw+GQJvOj7Y23JAwL4HFA/3KAwUN5k8G49q7WVqs6B03HHB+D4a2C5D7h+pWdttEzn9AcZ+/sr3t6c8bPjR+zDgm+HRwDAn52/xS/ObzCEgoEr3k03WGZlXH771QO+2F/w849vcHp/hEzKxKGiAC5nYH4FyLEAmRHOuoDLbYMkwc+++4D/4su/xP+5/ce4/HzUgHVWtInuF4z7jOvTDrgkhBmQHxUliJu15V0qxgesbEtSW+plTdev2wuAND0rENIGgHZVgfGPAWEi5DsrgYqCsrfs+9/h9fsHuRw6tY6qOmx6oKEfEmHR4K8LqNjm98xQHQAvgK5XO1itENqbmPdaR0Gngqr6nQ5Qvo1WO7UW3nNuqDGgjm4MACqCticTRlEZeJdUP8QFx7DgGGfMQ0QTxiEuuNQRpzrivAyYrfFxCA2FRIWZKnWVXEdp3QCtlEPNcAqJlsu5kS9NIQnfMBvHXsWazKFgGwN4YbxOMJeNGIcNI3nNR1ecpT5uq1IoOnIMO0y1D6AAjZBrwGKOsxoW1gL4mxlLTJCa1gDHqKESyBy2tW5OIRxS5H8TeGh7AeoOn/h7/SGw+b+4kur6O1WoXtcdRGsOZQwWOJmKcrPMuNcoWn0uWbBLRCZSYoGvO1+5AHVT2W40un6AZ+nOILDBMoJ85hTbZreWLJwEspC2kGGVuYcBMdtaNcAyg94aiKg7wsD6N2dbP20TcAV6sf2dIkQEzDXiWgdcmvavy5sIpTRGaQHFhAxyCdoWoZkIQyATiNNFzQK4YA3JKqbkra+oWb/iTVBELtS0icm22anP6Zo9u+9iZmxZTls3ncbighdd+VhAMAaD750F2lKjKAAD9FhYx5IEMWi2j3htq+B/ti9fty5gs6VKEsgyUmYbLKvbuqCGOz8eENk6EbHM71rnHHJDmD1lKmuAuaVmevYLQOfYM68Bl/XOlWAUT9Q1KCbGi/4/ooFMmFu/z4aX4OL2Jay0R9ieCKy2kGYV9rv6G6dg9fxr8LUFLoRWT8Iz+B5IUt08t0inBK80d6UzsqnS1qr1W1pDprWjSwuYasK1JJQaUGowVVSjwzkY2oV+pANTGqQZrZXRW2xIg2aazc7+1ot0XHTtNqV4MXoGntx20mrzAbygp+tcWBa/rfvBxdr8vFC7rucAe6slW6cyBxQSlJGxJ0Gz5w5Bsy+NgXYxYZWkLCjv0d0ddROYksGZMLqPuWr2hnYMb1P3Qjth80cZSJ+BMdt1J1iztgC2okXdfvu42ouXorbNM9+sWXRtrcWgcVD73uSFPZcYVzZRlp5t9nMmECzzLbqPFlUId0DVFUUFwDwpAA5oG7xWLZPRsDnL6OUasZ8rMENYbhXc0WzfahvUiVab2gb0sqj30w3iJhAIaAgQvIkn7Djj3EZ8Kkdc6oDHZYfnPOJpGnG+jig5QGw/1hHIBoywDU8b0OnKXorgADstrc9vL7WwDKwLj61ioBYgunl2u1cV8FAqM6FalrWDw0Frfz8Xb3O/z4MLAGtwAeCaEyLvcE9XE0lqGLiCqeE6JswlYp6SKsUDKxW5NbieiZYY0brfPOPsJkgUFGkmuMUFCA/UfTx9fvvbf7b53ZaW3QbWDLkzwErrnQf8vNPM/8txQIP2vPc+2iJas25j31sgAjh9N6710AtBTt5/1c4mm7+yB+qxouvUCOH9coO/XL7E95d7XJ52ql1w94SBC97szigS8OHxqNclxvU6GA5oZ3GSrs0g+4oaBcvrCMoAGBqQZQYbuSOFisOQkUJdM/FVnytyA0NwKUMvIwQUVMqvtezqMg/43lrp3N9dkKv2ui5ZVYTDsgHdYLoRwdZ44a4DRNDgtpdj2VFLtl+bKaj/lpBrACR6atco/08RcgnKAmsAGmG5Mx/I1oaw9s0uBzGWgsCF3pAJ03XAY9rhx/0NBq44m2DJY96hCCMKIXHFbZrw5tUZTYCbtCBSxX7ImI4ZhSLamQESLK/Mho0CbGIDkM4ZYsM1J/zV5Qtl9R3sfPPYIQhSrLiS9DJUNl2cetAglBdCvOgz1AE9OaesBI016mC12UKIj9xbps2vTJTsKa3jxpogohbQgfTPkuR/0+v3F54aosl5q8Jiei5mIHWn7z5GFWQpHvxosMmk0tCATnLdG2J70r6d6VkNSL4R5NuGMBGiZ7qsJjddNdtXRsL5mwAqwCFp65p4ygiXBeWwx3LLnYLEFZjeaqq+HSt2Q8FhyPhyd8JtnPDN8ITbMOFNPON5t8PcIn5Y7vCw7LXp8vOIdDvjsFuwzKnz09OTtZ5IgstXsbdwAFaK32JZoXQ1xDML0qRFVG0IPVBsg9bzxEs2Kpqiu2FuiBcd1y7nnxX5l4FVGKWuziLP7kQ60mQISdVsH1cBGqMuhPm1trWRJJASMF1t0UbGJQ3IFvD/yZcfcFpG/HJ+C1yjzZ8FN4M3ca5a57upky575yfqQm9RBbJCNkcDRuckDwJWZ4mqZixIRIGCQKi8imeFSXn9MjDqMCCcFoSHqzoL7lTFoDQ7o5bqYZIgrYE8s1sapFgbkCWDylqz6lQ5XgRhqQiTtola7pWm5eIcdVydE1jmK06ijFDj0FIDltGERSaVr+dN0sGRaq8957Khcjl4ADuEizp3NES0GlAHA1fC6jhIACg1MOshwSRgatgHVb1LVHGWsR8g15xQhXCZBlQTS1JnTLpSqgIG7nGbU2xnqwqbQWtCLZjxYIW7WJPNrawBrGZvuCdc1I68zFg6lX/7b88QdAVrdhrRqgQaDNSBZ/5JsQE/kEtjBKvnas3UpYMe0LVpEODMVnfgOFstGhjtRUdj2fQxbDAVMQUtZBWW8tKEvi+a1ai0NbAL1ww+zQYUhZeOvjvv0LXW/+1iPUnT7bSY95oiJAF0mTQSFAEFfkHjJGvZstY0AsyEVvm3QDh3dDXDpPWLvHjbHTZwIPTAhxoQriqsFmbt9aotSnhdz5th5CyIHxcTkmug1lAPA8oxaumHsVjCDKP8KbBSR8bdbsab3RlMgqUFPC57PE47lGp0/Gp93L0nY2HQrAg6Z32usrOzqqgzXUf7f9bF02wOOAtY1gC0K1lb0CmlKdDla9nH1nrDSgooN2n9rI0FqiAYawNMqGYzfI23RL3zQGf0WKDmNeGcCeEpoM2Mss+93is3RgoVN68vWJaIcjmAi2Ytl1vWs+nSVmG5KpDEKPcj0JRO7dknQEHmmjZCdPYo20wuLwJadO+3IfSzwM+yrt68VYf1fyQ/a1bQjGoDzleE0wr2kNcmui25u1nt+ab8pN0eEKfWW3e5HYpXnZNiYntlp4BHXLSljzAwfaHlOuUgqAdCWRi/ml/rtFrajrKyP7wncQ+ARNdTWHRvZRMJnO80S5fO2v+9awmQ0qUlWtuVCKARfvHpNcaU8e3tMxjaGzZRwX80/IAvueBfLa/xv3v6Z/gwH/Hj+QbXJeH5cQ88J2WcWfuN5ZVgES2zSk9q5/OtrvN00oC0HDQpQE0wPokFvtT9DwUjqdcSR2tvtbyKVrKFfm4xNHgePxWkU0Y5pp4Jnu+2dsh67UYfL7UrdbcKkQIrdRwMfHo+4LIkjK8KbtO8JixaxCFmPOUdPj0dgDnYZ7FqCzTN6LZEnabOJngJ91s9O216JlpWANz+UhkZl68iljt6YcP62rLgXu9dbWg+hv7zFby2jdMaCObrDGxdQtZafCp6Vui5IcA4wIWtWlvH8d1/ph1DqGrQET7o+VpN9d6TM8t9w/DFBGmqqitC+POHL/FhPuIvf/0Ww68GzG8D+GvBfZrw7e4RO874N++/AC4MmRjtGrQEZ6dMBzoU4FYDonHMqJVxPY5rr9jHwURpCW0H3O8nvBqvuEkzElf8cL3FeblB5dbrgR/nHZ6nESlUDLHiy+MZ/+zbf4unvMN//Vc/w9PTgK//8CP+R1/9W/x3D9/iL3/+tbb0eWLwooGRt/8q93YuFm0VxhdGWDT4Xb7LQFGWgHeoEAHKbUW8X9RcFUsAnKMqJaeGcCyopwiqGlTv3q/niTJbBfKzqwbZpwRUQjY1ZbGaU8kMuVhG9ymgTYxPS8Bf+Jq3+b3dzRhN8XofMu6PV/zTV79EFcYvrm/wXEa8PZxxHBa8e77B5Rq0Nvo+I6Smvt3CXUcBQUC7Ch4qHk57/IvpJ5imhPq6qAE3f3wYM14frnh+OGgd+gSMn/T8e/4jQtkLhkfC7oMKOM6vFYhyenc5CspBGQDxbkGZIo5/FrB/3/DhHxP4j89YPu5w8/MINKU1tyhIz+rH5aO1mO0H7t/++veQyWV0tVJ7belI6li2HsUr0vwikQNXUnMjotQVQ+ULdbTQa1/Fkg+dwuOICxutVRhhi/y6oRFFqDqyJmoQcmVca0KkhlkikkRkCWhCyBJwKgMuZVhhGyHUpvz0LVKnFEQt0lY6g6Ek3fm0j7NR4BrQIpuzbm8hqDS8KWsCq1OtNL7NyDV0apv42LgY0XZ8N04mNve7/XubNZXCqFCxocpN63nKiKXpmKxzb/VbkZTWaAHVi2fFOkcAenZ7+7N+uWL1Ipax4LpmhT1jwCwv2ZJ1k+mxzIg6Spvsl6H6jpKqhRK8uJC/t2fH2ovfi2jmkv37fD6yrI2xfS1Xj0EsA1NJD3dTZpRZ+yqC9JDRdU99fa8DYsaxkaks+0OjZ6PXOZa+Rrbz7ftJz03CtSQLcIcu9w8ATaj/WWpAqawZiQbQJgPZx8Mc7S4hD+r0Ec+eOlWbC9ZOHmLrFSs63TO9fezXNd8FaDbiCGvW97MFZOPS19bnv99+XnRcWyPkxv3g0NYTKgq2re/tWcbPv/J3LKPf9X1uf7ZMlu7c+3zC9rdnsD3AaQZlbsZonX/7crcLv+tmyAEPCya3WeDf9XJ2BcFuTp1ZIXohvCO8ApbbdaA9fp3i5wGJXifktd5xGwDBvwuy2iUbb1mXym+PaYMxXNb1SQKtrzZqHQDkGlCb2u1aTXvAW39Yn0TenjX+6P6sG1HDFsn0zqSzHEAEwSbQxWZ9diqjjXv1ufc/3NfB73pRbRBwpykqSKdB9G9leTbjo3YOFsirPXe6HwBjV6vwmgpPWSuhsBkDH+sqHSAkCLCpnXwxH7KxE2TBrgnSvaBau2icZ7V/ly3+XWOxtcufAz6fMw22v//MFvS9h8/O8A3opNlLDXhgmU1nhXgLC1oUJNFzTrqB4Eyrz1Lxcl2wBpNUdG5cdG673vRZ1z+yuUdUQs4BgZvabBDmlvDc9jjSgokKLjLiXAZcS8KcI7K3RPI1vtlf6/zpOm6GpbWgpVIvzh0X2jS2mAOV0vx57FqfUxsEncGj57mdVRvaMhc/V9a/O6gT1nH5rUt7WU9TWr6v7wbq7KTNm7uz7u2EesaVNt/H+C1b38dg61dufLOtH9XCGtD3+TUf0bVSPgf1xATevO62zw999v2R1/vs5xLZF35248Gyg0E6W0zamnlzBgM1q19l6iKrlyWhtBtlnYna8PfXIxoIb4Yz0tZINM20SfCSB5uTzflIBMShoEVGzRrgCYsKpQbBXIMybYQRqeGSB7XZQlhaAJs9cXGxQ8q4H6/4cnhGtAOFKvWznEnURw3Wy1tI2YrRRBFlnUfA9zRpprnovt76xQAUfPHg1gSWvAVgV+3HalNeZIMJChpb26/C3q8QnV3g2dIX66vqvZTGXSsnWKcSf9ZIFSMXjJzRbKMU82tyDSY4Z2BU1BaSlUO3W2TriZP2mG6NVI9l02WDhCCk4mVzDRqU29705A7oJYuz2y/TjHFQ3GMD/4wwela9lpX1pftC68R7Aqyuf/9dXr+/8NSQtBkzu1KuZmJ50N3rSHMXUsmC8anCBVZaBNKZOnU1XvHCyRkeNavrRlAfmlDN6Dnans7mzBwYZS+gFmGtHbF7qL22hti+AwShiCmMmK8Jf5oThljwy5tXuBsmNY4SMJeIcx6w1ICYKnCjk3w67bRVwNb4QguoO8pph1wwZzBaWw4hoOwYNAjqbtTA39BEzVIGzc5ar+EwVUWYczNnE0bfMueLFGjQ7BIAtJ4V9n3sDdb9By0AsJpNF3KIJ5vHrBRU77X8/nTEk2VBpiXZJtesdT0IlkaI0TLUgGUwG2rUOjR36iWQoqVR1YG9Z6IL7ezfq1K31zi6yIzWExaoRL4FSdGC1rYGBLo4RMWmclEvLgRIDKi3o7YXuhaEi4pROY1TB0S0hsuD4xAAWg9HMjGZcK06R/sIaoLhQesZy01SxDVrvbDTG72O0YGAeNVDIF64+/TdMdw4MloLCGWSiq5XAD277a2mmAneDB5VHVavKxoflQFRR0J5FZAJ+NXjPcaUsdxG3KUJkSsCCa5Va9BzDXg675DniDYHYNF6jfHT2iLJ6S0tbe4n4oWgGYnXf5OJbFg26/PAU2RVEHBHqzSE2tbDnhn1oIyR/rGgqq/d8fIA18a8pnVcqalwiFLk1bkBALlEzIXxbGqJu1hwSDqfl6SHZvMDKjh90b5DYHRy6o6ePwMIqNFrWFfnZwUepJcZIK7Prc/bXmSyVpDmdzjpRMpQyAV0NmLwkNQ2eP1kZLTdgE7BEwCXCVIKQKwCStvpYKM02/Vd8Elrx1bV57qLWoNdBclapeVjRBtIr1ttnKJT//Q5hyfBcJZOPQSchu8OvvVcnYxCOAa0IVjGSNd5vFY0U5zVOl4VVcpHZaoAwLuHGzwOe6SgbUVU4ZOQc8R8Ncqi2bFwZoSLdgGI1/UQBYxxsvPvQQ/WuZK1bxOQMGA15qb3rqr53LSEogtCKYAXH67AvGhmPXzGg/d5iLyezibSRtcGZkK+G3r2e1X2VrCtt4ezs9S7TJEAy2nAuxww7jJu9jNqIyw5auYmaTuzelkZEV04yPrUql0yO7MUDYjG2G21rwNfn9zHx35mGWk06W2YejabSMFdwgoA2LP3lyvLApAxQWKAHEbUfQIvBXxZ+jgDAE3L2hautRfX4qczhL9APqgz5arPXoedD4x8BHiBllrZ/tXgTu8znUiVRwfLfor5KpsqF7YyiZ6RZajgZdJ2HeMngGdgfNSxLjvCfMtap3tpaNkymkmdaWVkaasjIkFuAVNJ+NPzd/ir6QuMXJC44jfzHd5db3DNCafzTtuYZGvt1jQEpQakK63lNKaOXveaueQCtOJinwJYthOwcWgmmFebklVsDy+vYqfQU9Xsup9jXnura1dtaBuUfXd8KmiJMb0Jvb1YyOoP5INldfM6R4D7LpbBNBo+oMyw9/MRT8sX+l1COOdBBbcWRkuC5U6DGgdxwrIJfHrw+DJmbBFARN9jwpqF5wN3P6pFYLnVrh7DY1V/wLUoJu/Diw0lec3Ylv2IsDSkB2PvvOgYIqgjI99sWBANiNcKajPEMr9b8Hd4H5D/uCHez8jPAyRE8ALsPljpiO3P5ZUCBMNQ8MXtGVUIv/n+tTIrAeT7BloIP/zLr/HrUfDjP7jBdzePyDmg7FWlPJ4J3tFAGoBLUEBmbCjHCI6CcbeAqOJ8jSr7fFtwfHVBrYwf39/hN4V7aYvcVOzvJtTG+A3dIYWKb45P2N0V/OH+I3620zY9AQ2JKmIqmEPC82XE/+f9T1GF8PrLZ+QacLkbUSrh/tUFb2/O+LfvXkP+6qj78q5qAGiZ+Xgl0A9JW+cdpQMhABDfBfBfBxV4vZqfY6295kooQUAz9+zv9WsLqM0Gt50Ak/Hti7bkHD5GpGdgfiMo3y3oXWkW9PMMpL2fXx2u+B+//TlGLvjnD3+IH89atvCT8QGXNuDn1y9xrQm/Pt/jnAd8eD5ieho1mA4CgaBOAXV2URWzyQxIbLi9ueI4LvjwfMR8iZBLRHrUYLjtBAjA9LDT9ksLY7lvkAic/4OiZ8ZDRLzonso3Gvfs3gkkEs7fCcpNQ5gY6YlQ56CK3gBOf9Rw/k7rldO/2ncQvI7GMB0b0GKn2I8fGHX+HNX83a/fP5Mbwm+h3MR6EAAvHVCCTjbP6gW3oDWR3kjee+kpPdKcR0O9XlyrFyoTENTQOgpYd9DDdyA0GwRezBrtzEHJQIhq2OtitWM8YIkBQ6zIlrGsjZEbY84RtTGYtRfbPAVFtxzl2BhBr231ui1iQDw49wPc3uetKqgRUlmdOEfvGswpXiq8XQlKAwVShAruGGwRJOkIhwtA6c/Nb22b7yfqMvkAVlrFrG0UWiXNdAtZfaY2vpZqlt/QF/E6GXNS9VmpozcvAL9olOmJwJYtctQ0ThW0NPDAaIF7W4nu5FULekpV+lr6XBjFPdO2Zr9MpbNFpXPzTGtwWzY3ZhQhlGIBLmkfmu2r1/cqTZCy0fUaQHvdSo5OE0THibU3n5AgNKgYl9OOaXVS14dYD1VFZ2WTObM/ovOmjoXBg+6E2hw7rTKKWFZBkcdlVqXJ6z5h4IJoqOlSAxoUNS059vXtdfFKCUV3SLfZPCHR9WoCKWwCIi5OBRCiOUVeg/hi3twJ9lpEuMNpgdqG5fAiw7fpQbpFS/s6FFmBsZ6RA7raYyEIGKUom2MIhGhia8yKtjrE78Pcv4OgTght9p9sx0frl1Hot7IanuHxnpsd5d+AHH1N/jteXo8v1jaChtSdfA9UW1oF8ESsJUht9o/P1vjfkP3monuKvK49NVQxASarGeZBKTZh0RKErjpJa7AfJ0E6VxV/OVpmWaTjOELozheAXt9ONgGuys0AqDBYlMrkrAYxNLjMUQPbxDaXAJG1ErGehahqZClbm7uMNZPr68wCaVd+VEBnpQazoNPi9XyzQJfQA1xXVdZg0ALGYnWj2yB3M90vWkh5htjG0IMDHRdbi4KeDO+ZwO2zCIDMaAKU0CA7z2pbXTKvmdoXGbO2Omh+e07tdUDJwUYFbmxJCTYlStIztv1l9POe1U4Bgs/W3mdsG6rNGtITKMVe2tN2ur5VgwF9SROg9vxzpgigwS+h111vAxkFJQ18zasNIcEarInRaCddB9V6vceL/szrZ11LxNeLf2c9NHDhfl56f9yy0564yGswqH+TAdlq12tRpo2C8YzHvMe1pp7FOeURSw1YSlBQ2rJO68DYMxhjrmc3DXzq/cZp8x6g9z7uwmy+fE2DAESmPeJMLKwALvAye2lCbWLAR7xWtCoABb3upo9sHdbnh2zm2DJhOr/KzPHs9lQTnhflNgcSLDX0Pd+ZC3GdeM8we+/ePlbuk2E9RzyBAlhZkbMcvJwm6PXZ/LYmmogIuWlds5eaWIDRwEAi1B0ZffR3O/BavrbWUHfGzd9wVsQrkEmw3y+6Zi5BAwVXcyAKowABAABJREFU9Pczp8D6rAvuxglzjcDMSM+aNGqHBj5re6CWCA/f7rGLBdJY1YbmlZZLFUAwFd+sBqHFgCYNtFfhO9gZzEm7dzzPAy7vD6CZEU9K9Z0ZqEcGkahCthB2h4K34wk/GT/h7w0/IEvEQz0gkfaXBYBSAp6nEUOsuNvNKI3N9jN+cv+Inx0/4sfnG8zLZt+z2wh08bU6amLM2UiAAlLDo+7JeNGfL7c6J5xhqsLU93rdN6VvN6DXOxlDzlk28QqMD4K6I2zwsXX9ub9CgjEU/OH4Abdhwr/i7zQugWDkjKklPOUdLkW1J5YasMwRdA5aL5yaXq/Qem07O2B2e0wFx7TgA44QYziRVS+5S00LQ+w526D09FdvTyASPJxegbOdd66bNAPiTM9BgEkZjEKiYEYQ1Bv1IdI5YfdByzJUhBOQpDRqCREuTMsVwPw7l/xv74G/29v+5heVgpYUaYuzt8dYF0XvBcnroevUDkfw4wXaNsZqIISB5c4OGctOykbFro5mjP1hQSiGvrM54jUR5N5URY1alS4N3uoERAiDylO3vSDcNIQgOM8Drsta0RytGL40xsfHI8oSIJeIcFHKwrZnbXdKPqMElb05CawBXi/Wrl4PInDF3JBrdxrd0Gk7G7tYUKe17qNRol2x0+qm4rb9gC6S5cgqV26ZFX8JoauS9iDVAglpuqli3HICGCFWNApoLrblQjLNHFLRGjt2RcZlbYfUJfgbIc6acXRnQgJhuVPxDQ/+4hUIi7c9sfU0RGCIoFrBc9bnH6IeRGY4KAbNksQA2Y2qbhrZkFHWa0RtBeJ1ZUp7boAsWq8IYCtSLssCGSLybeqOnBCDdwkuWBWm2mtndP5WgIdN1boFbNomacYbsLXRnWhb3wOhsddDAdSzR0Cy+rfhGQh5NY0adDRQ1ZZeErQGMn1ira3a6en8PI8qsGSLdKkBp2lELkHF3xYGz2vrICFz8Kx+qCWy6+v+E4a2lWKlLblzFxbLMFkPaCGd4zhVsNVSu1jSb1HoABtbUxgu5kDY2MPLGC34BHwdorfdcOfIs7iuXE1VwFftW7dcNYu9lIjzklTwYhrQMnfq/2+Vf1igQV6P7VlTa58VlgbJut9c0KQFdSLasNJiVfRmZSz02qy81qHCstuUNXum2Vr73qqZbtwebew0CFXnSe1cD7y9x6grAZP+fhvY0mytKCT265M4sKOBBYLXObcejAIwBkHD0ARh5tUhdFCEbD0Y5TEs0rMezvbxko9+mJl9FCKlkFsvXbKm8C2pMrAEqwmcCVEI8n5AGwTTUWuMQtD+hc3YMaiE+BjM2TMtgQWdXdIzuaYE7UGnZoz1d/GitOx4taz9plwgXOsKWlpG37PRaq/28J7dANbsvQWWK4MD0F61rLXIznIx0cC8t/VppqqMesb4GFLTjGHLSlduAyEDeBB15FthVXe/sPbvzR44U8/KcxWgQPeg0yi99AM+Tmy2xeZcsK5zC3LD3BCuas97gNvbWZlRtTNNab5ZbYOtY4kBlJLa8RiAwMpusk4F9bgWa5IIaC6gJXQ7shVYE9sv3omg7GgVpxT1OdLFheDsM/Zc+3cC+YBuc3Ij5KNRL90meVAUAYuzXqjwqriZ+gYQ6tf21l1h0R7COrh2vhcCC5AeCZQT8l3E41EzXU0Iu5BNb0Hr0LWkino7RspsrURUQ6Sz40TvrQxrkCIBmN7qmhweWEVk6vp+Vz/3dlMdmHdAiHT/erZX9/0KWtUxmH1WO9FGQr5N2kJpp8GeBEEthHIkzK/0+i8AQUBbXpmka70G1IXxy/AKHy5HxKAspdIYD9cRpQQFnQ+tAz91R5jvWYWwZjHBVOng/3K0+xvcP9L7V79lZRdC1gQNSO0VF9MQYUKYq86nmH/DjGb7BXD/Dd0G+hqOZ7P57P7CaqPipEmAeFpAp+vKcm2r959OgvmqAkzSCDI28LKCnpqFVF9r+cUBz/cjnqzWM72esIwDkBUQ9Mxai4J8GfAD3aJco2WvBflO573tGxBNWEigfrIFRmfZqR2vBpReA37x6y8gmRGeIqgB+U1FHivC0LrI6yGpINUpa9ncb6Y7/L/w93s5ylPeYboMCuYbbXjKEZc5aZ/c4wVjKPjlwyv8D7/+GvVpQPpMFTt/k1F+0hB+GHH8pbYMm3+6IOyKZj4roe5MSd9LRaDrRVg0270vkJJ6XLD/dYCEgPmLBnm9Cq+IgVaIgunLhvmVBg/hh0FbMv2jZ4ShoJUAVMYQGmpjfLgc8b//9X8GJsHjtMNSAk5FReZOvaSQcTPMOKQF1yXhtAQgE2hieAshEqAcGmTfLGGm6/b5OmLOEfN5AF0CZF9BX18UHJ6SJmmmAL4w2q4BNw0UG87XAU4XF9YWoFTMjnxJBuxVIDXwHDB+AupeAdIWoUFuENRRkG9oLVcQqCp20wxxOqGz6rYM2r/t9ftncnOx3m6m1GZKdQA6fbDLnBuvz7OuTgGKU0O6Go1vVnQtH10tTg1J22Ri3PHwQVQet76v96A0J1wV/1RAw3u1xoPel7dtkQiQbabZMgBsWZzdDnh7uOihURhyjYjPQRstMyCsQZs+rz3ThjOugkxrANmS9X+d1NiF2RwqC/j5WhAer0BgtL1lZZzSFdRRlcgoh9CRdMCcZRKj1W0ogqQH6XK3cuJtlwEA2qgHhd8/yO7FUBs3IgKt2QCAItp/0UUD2GpxlFNPKKP2hoxTA88NbeR+mHEFYC2AtD0QK7gatSWUU5sVKWdEy1D2DHhiSGCES1MxESS0nY6LHjjqFEmKGujuomZSXYU0EiQx2hiRb1VUKZ0YnCvootQcsaBLNiqFsixoKShN0O6HiFTW3wLbYCIcru7ttPLIhFZM1GLjBPXadYEFQlYP1dQobNuiuNPQvP6DLFN7bZqsFlhAqGixPkKwoBMYzKmZX6uo0nVJqG2ldy0lYpqS1mAsKjcfZgMyjG7n9WiAOkVtFPQaZ1Y6ntfn+/tCRrcBwhrs9lKEqapDbyJ18JYhghWdbrr6aK6gYIFk5M4kXzO4m2CUPKAlLHfoGbj+fuj9hQWQSsjXqOd4CZiDZQCnABRaAazNntnW17RIiKWBl4pmzAgSFeahJsg3cSPAph9uiskgFnVStMXW5gAkDXposfZXgAZMi0KqkqzRrLcDYoKMowUG9rNthtmv65lvCxo+p0DrOs892CbnulrGTEG6YP2vrd3Npq6Yc1NbuADh6sCFdGe2KwkHCySK2q98NFs9k6mQiwJIRZAs29SdQe/VWquu+6q2EEmDgLCY7W1GSXQEetTF4ZoMaEo3jZd1XsnAxy2gUS1odKplS0C+0yyN0ix1fXG1rHZ1FoWORZ/3RuCigEEbAmDigp5t7+rhXlu9ERTzQGK5UxpnnARhbqiDivf5PtPAclMfZWs2Tmo3NEggqAn2AVWHk2dCuFBX1PWABQDaosEVXSr4edK2VIcBbRPoSqQuMuR7rAr1rK+TIuLFbZ4BOpbZxkZUTUIAmRNBtRmV2dJnqTf71XFrDTwVyBhQDgkrjVPAKSodv6uPr15RPSpNLiyirWl2gBQt1enBxnW1Y9vgff+xIEwNZR+0F3lwMMz70fsa1DOxHKXfl7+8BrcNCtb77+PUVLPB9xdzTwY4cD48qz2fMuH63YDA0utzo4n0VKvHq2L10NZvnDIhXAnjw3ruuI9S3a9qpPT1NwUUGxYMEGZl2k3ovoo/XweBgLWMBLq2u+CggzK9t7W2vWrJgqekn1O/zbpfBD2z8o1SFjWQdOCEenDes7omKHVpe0zDgP1xwZvjBbkypsug5V8swFi72FwdjFocgeGswp7ai5eQ94xyQKdeb19r+YrOHTlA4S2IbAhUHE79PM61g2USVzHOMDdlrTVX+XbnTIUHqQrqPkHGAFc9pwrES1Vw9DxBrldtCbdkNFmRmXQBeFIxKXV+rYMG9D7q6LYXOHxPmHLA9ScRKVS8ubsgHyc8PB4hD4O9X9SOTwFTHYHZ1j5r0IQAYNTAh6MyovJlAD1EEAiSLbgbGpAEmBjhQzAwhNCCINwt+ObNEy5LwrQkBBIc0qK9YUvC47LD43WH83UEs2BIBaUy5BpesHBKCZgvCXGo+PLtj3g9XPDnv/oK6ec7BA+UrO0PSPDmyyd8e/uM/16+Q/1xRDkIvv7mAW8PZ7y/HHFZEp7DAYsolbndKBsEBobLoWDYFSzXqEDVBIxnBa3KkSCD9vhtRmUGWavHtyYE9XHE4ZcB82vgf/bHf45/cvML/PPnP8KvLq/wMO3xeN3h+TLi/Y936rceMoaxYC4Rj2WPpcXeAvJumMAQPO9HzHNEvgzgJ9vDBli1wKh7y+7aOMxzUrbmNSBeGO31gv/iD3+Oa034Vz9+i+t1QLsGnasdkA6aDi9zVLDUWTGi8Vgdgfm19IwvBWXt7h4acrb2bKOgHchqp4F8WOM+QNcvFUa8anxXR2uN+f+3IDcGdeKiPlA+slFqVqqKI0+APnw/X11Zrm3+LQCqIF2k1wB2Cohdw6P8anz5MKlRYnNwOEtXx+vIWEfIVxGdcAUG6HXza5X+99sMsWE3ZBAJPk17pesWD8K2CJ4/jBrcfCNKV3bKwuZwkkDqs5Mazk4DIkW9AQaPEbwf9L27ZLQURb17vYVo1lDMeVbqpdPFNJom/x4zwFyAklShEUAXOgJg9QPSjTWEIAVYzhEXWtHx1qz1TSGkC6tS6rJm7FS9WqzfnQWlcVVBdScB8JpkQ0Q98JF1zXi9SxuN87qL8IwpNc1Y46D3xrOinRK5gwBUVgeMqvYldqdcM7u0OYgs++aOk43xC2GncUTdR+TDimgza3akt/Zo6nwi1/V+elsN7Y3HVvskNia+FjTLaWvEa0et3lui/d/qudkdLgNN2hj6d/TrOZ3R9hZMaZXOETUzZms/kULV3o6NeysVLQnQz4TZaVE6d+7I1nFFdZ0dIGzUqYE6UNJmYwJt97yDYIEA4pf0XA/q/AOWCURc641W0Q69sDMXnDWS94RiNVxKG9x6l+u+gJsUASQzagaqKGJL1lLAM9ls69wVRNlEx7SFk3TamTvD7sCUPVvPTeo1zK0ADMvw+Xyl0ANG7RcqfTw8KOiBqWW/dfziOkZWb+fZMAlBAR2rXy97RfDTGEEhWAubTRocADGj7SLKMXUAps+VjVVXlS4eiNi8b2jSfsXOYPFewjbuLRioY062M3RactEq7cnJVX8XFgJmC+hTMICBewaVrf0Pm3/ntUzC0g9wMscCQf/UQbpauJ9DnrlzILUNBt74s2xsqr9a0EwgF2hgBMucb+JIVRhvfX3rvVlG0taATcCLYAis/Zhb4t6vs5p6tQfgwtonWPftame3deJOcwW0hrjNrGCC1YuFRcfaM9q+xvv5bLXhskuQIarScyDU5PWEtDr9/sxi68UYCy9Uk11QzdYymc10YKuvf19TDub0+nJa1z0MPInbMaeXYnWfv1gDruVu/XwL2i/WlXT9PslBI9sqdWR4KQ5XrecdH2gto9rYF8+kS9CzV8800VYdRttrljFsxkZYS1n0e+IsaMUELQN6UK61fqSK4dYSaxczooHRRLoPWyXIwr1DhQNBQgqAt7Sxk2a/miGnRB4EoAfaAHogynmlXPv+cJr11s7XsNoA9YXQnXy3C37mqaAj9fuqI3S8ZM0MStQyFklN93NDLx+j1JDGglIY755ukHNAu2h62Wvqyai00YAdalAgDngBSirVfL3P3sKI1+crB219QpWQ3OcTz8yuCvothdWWt409iYRGm3Gsol0FzFdpo57xmv32DaTZ8BYIcUigGIGUQDc3YFmAi8+TrtFySuBjxqs3Jzwd95g/HhCu9ILF57ZvMibjdR5QCqM9J6Qn02vZi4HYBBHNRLedBUrR/hZAipZGaFtJ9Gx7F1ZqpOyQibUnLKG3sJRGeJ5GCNCZhO/ONwjccBwW7GOG7AgxNJTKuM6DUvJZ14ksAc9Pe4TYcLybwCT4q8c3+Ll8gXZKoKYKwPV1BoJYxrhhKRE/nG4hU+jrec4Rp2XEh4cblEsEn6KO26hAJ7F0ASrMAUthhOeAZH2k843r3jS0zJA5gK3OWZIBBktANcNVjqr8/HE54N9MX+G/+/gtfvx0qy2jWHp7su67k2CuEe/nGywt4DnvUBrjOatv/O7TLcq7Hbipf9ASodzY+qtAeIjmu8LaolXQ0IChod4QUAn/4t13/bvGMeMyJgUDCyF/2tn5QmvsEDV5VtweGENIOKifNQjO33BPUHImxGc2sBAqMmWVJy0B5b4CQ8O8aPNwT3RuNLH+1tfvLzwVVSbeaQ962AvSWetZhpP2XHTDsX3pwbceJL02rwG7j1UznyakAQKKq2GaE768qeC7jHyJCE/aMJgrIVyB3aO12+mHrR0eZnyoqAgKfxLEV4zHuwFlV1VCOwoOuxlf35zwOO/ww4d7RV+yU8tgfWaViiOBsNyqQV7eVgyvJ1NuZdSFEd8N4EVRMJIV4WYLIJr1GQtJutOqvbPUAQpTW1WV7RnSSTM/nqVc6bYqCLOtmfQeoXIE8mu9Dl/Y0CbLRhjCqDXAgNaxRi3u9kMuq7gUZ82CdMc/a4CbLk2d/1kdpGY1JjWtc+gCdIoc++HozpQ7YeY4MyEfo2WQ9L27Dwv4nFXw5GYAXwviuydABPWLW0iKEK/lDBasVgFPioiWux3KMa5rkYC6U5ppfLbDojtY6y6i2yPm1xHXLxhxEkOUBcKrU0oC0GPRlhaR1jYZ0MCA5wq+atYh3w1ogVD3rD0QDRGvSQV01JnRA6ju1SHnRZ2UPrfmcDmNa0sdVSsqBvRQB1OGj/qsmbVGJd1ccT8q5e25sPaPZVWz46z0EGUl6Dove8u636x1FFn00AsXBbjK4ICJUTlNoZPIwIFs+8Ca2wtr1pOXqvPmARsACRbQbDKIXp/NRfvcyU6zAPmgdqgcCMu92og6Qq+1DRwAdXh83qw2lyd1BDtdVcxAF81Apat+Z5ibHhCXArb77bW5BjzkPXeHVKnTWOmQDZAipnQqJiJmQdZcIV5jXZsGArVpcBst2+Xre4hoO8sIujBUVBshY+pjVhP3TKAEYPw4IKZNk7ltxjcGlLsR05v4Imj1+q/hqYCnCl4KaK490CAyAC9w1w7or6CBWg1O2aeVlmhAlySgJhP5yJqx8VrBOKs4YW8ZtbfyhOigB8CL9t1sEahNxaI8287WPotIlbMl6b3Wva7TeCEEy94lY/vMA1tdEJDvbC3atuIFL0DMNhCWYHTnWdY3OtBUvd1UhdNvhcgcWAtybax5U5qhdlLBiRUM0D2oJSAmtpX0HoWhLR08iPHriK8taJ1cUbtdR8JyL3bGKOgbr8p46oGpgcxU1gx0SwaYsGWqWBH5Mq59N3uf36YiYmFqva0gRFQsrdTV1tamdbKfrclem1grEAeUux2cNYBNSyCldFNnVwDAYLXCv+slgTG/Ily/JqvB03VZnIp+lg7wKdCikyqkASmgWdc4CYZnQTrr2l1uNDtYdxqIOmurDoR8C9Rjg+wqeKyoISlAP9D/j7c/abZlS9LDsM9XExF779Pc9uV7+TKrMguFKpASDIRAI01mGtCMZjLTRFNN9CswwxAjDDXXUBpwrplEmkwkJRGkKBAUyCKrClWZlc1rb3Oa3USzlrsG7r4i9s1EocyShm123n33nnP2jljhy5c3n38fpleEZSGk06of6wXB7knvc7nRglnZqQRi2QtCVc4QFkIMDNoJhlgQAyPHqh2uWSVS8nNA94h2btde38cTF5+lhmgATuH6PPF9xlnvRQuwiobTIo6+9/BYG9oI8IR49TFa51E/K1c+wYJik3sb94TlVpsG0jG8uAoC8u2EYVi08zQmyKzdJQCgruD13QnffriDfDtoocESgzirv4+T2ryPyBFrcXTZ+X60AsVF2l6TaHOTg62Fda3m+/V+nFhQP0eJKaky6iGj7KN2bU1+y9eVM0E6k8ays9ZJ1ObbXvd/R6ahrO8vEZgHfWj5qUM6dpDDDuXFDqVOwK9gv2+d++8i+I9G/O9++s/wL8+f4T85/1sIx2Tao1ps8eu5nHpMU0Y9ZtAS0L+LGN4B8wvg8tmidvGYEeeAelsRDgtCFPSDygSNDwNQaO2AM7SYtnlRJW2WPAfsvhcsB8L01giGloDnxx36vcriXOaM9+9vAAJ+/4v3eNFd8GY4og8Vvzi+xJ8/6PwoEgMJoOeEdMpYfrDg7/6+ygv99//Dj5EfI/pZr6feVPzBT75DDrXp7n7z4Q7H93ukp2i+S2UUCwfIVwP270Pzb/MdwElHYJZLavFPmIHukbD/Tslujz8GllcMIQFOSuJ0+LUWti4/UNtGVfScBMH0tgI946vjPd6PB3z1F2+x+3XE9IpRv5jAVaHfq9sTnJeMXx1fYOGA89Qpr0qJqDVAfrnH/c91v16+YPCuomYBgqD7JmP42nx2EZRDwPN9RNwt6G8n8IGwPPd4/u9fow6C+z/4iFf7C75aIpbQIT4kDL+OZsMav5adQo45KU9BmJRcD6J2yB2w3DKePysIl4jhu4AwaT5BoqiNcvAcTdmwbz4/4uX+gl/llyiHbkXJXBh/k9fv3sklr8jru0kCZCFEcxzKQkebJGpNaIUB2iY1BDQIncNUNxpzDYvtsNuoVNg6l6VD0mxIvq20gh5PhEauATS4jUPXqMKkWiwoF1qhugKFuhSyeVuvWlgFOehDrr12CJyKPRq7DHd2BRZ4aBWbmjPdkuZ4wHNNU+8lTFtyllbZ9nX6DeIBWg+QNuNoxQHAqjZVA0pyQq9NlRAwJz5rZuozBtHhQmVNftqstWyul2V9I2giK9afa+RAEQ2qDaA9fycyatAzEUtKpCX5xLIGcdsgvRF7EVw6yG1HNYCskgy0ajyb1FO/JbL6ZFZRYtTD2ojNNPBfUQHOmCiRGqS63bN3J232Wnx2j2z9DKLLPntjds6dVkBrJ5BetLJVoZXsVsQwW8eG0ANowf+KlMB1ose0MQw0eL7eG7VKc+vkhdWW1F43wXwABGK2tdrtSgJlv8/rc7UisP2d1vvw4gPr+zqEWTwR8Gtsz2nzOQZR1uq0rN0Cu0Z9Bnrvbf9DA39xyKYnuXbv0WfOfbbQ18T3HYtd47ruul7eEUALvn2tuM0xO0JF5alWrURpa07eunfCp7D5O9D2fut8maQbJ01sJVIbF1BoJa5Yqn/jZcU1R+Q0bXPrqrXPDwGIrZzc7Fsjmo2vsj3QOBg2e50dxp6gTO2dBteBdBwCW3MKlvD4upuNUPCuPq66h21t7IeJZM3Z3fY3Pq/N+DVIN1rnxrtaIBg5y8az+bV8YocS19kwv19fq7ULuS77b0joBD8Htt8nu8bV1l0GxaF3kgAp+nthe30wOwaalJkn+ADWhK59bRJc2XTqvXBq5uZcAs3WCTrqbQXLUDeL5b/rM7bBCVq29oM287Yu3mbPu78grCRoBEWT+DMzCKx2/N2fXK+vmNrCcsMKjTeUTGNS3Z4/rM7Mx6yaTbn52z5hrCgf3vhbJ6GrA0P62jTLOZrurXEc6HWhzaeHur53s6HNFzFQlwAgKau+XVcKtc3kVrYOl3Vp25iSP7NkNpPMfwugxEeb/RK1y3s1dtHiHztbicCwmXqixvXQzgx33du4lDZoN1/0qzMDa6wXNjEBCVJi9KmilIjFRhA8thEOOo4zRaTJMEHmH5wvIm6ROY3AaWtjMNIoQIIWKfxeJQHY5KnY+B73J066pvFMaGunhU71y6tSBl0faWLF8+BxjNpEzSvCQNFCOgtd9xmx7xShFtYRJLcZsVgiBMGZOy2I7CpqJQDKZIysfl6JR42srFAjKRKbs4bNkhP0mVAl8JhA+4I+L1hCxCjQwnEvmniWANgsd1PC88Kz76Wt3w6CYJ3fxSShyLqmKbCO5UnApSrpGpFASBSSDz1DOAsoMdidj8O0hRCgtjSWhGrxocsnoijCZTmY3FANmCa9ebGGraKv5Epex2Xk1r+brWQo2oBtXjWaAguh+e62L4NeZ+iqkl/C5Y/s/YqdKZvik0C7zdOiqZz7gFoDaonmQ2yk0vd2UNgwb0Y/g8XCmBTaHxMjRDVscTsSanBoRw01xFSE5VdWqK7r12+iiqh1u8rOiFFZzyeddTcUF3Te3n1JTIzSs84XT9fx61/3+t07uTlhviVMr9zjW/dj8m6Ueq00ic0SCfKxtG6MOnibmUxGIuIVIHcqpO8z31swZHOkNFT0vTK8lUW1XRUmSFgmABLaQ9ZXXCvmiya8ju8OiwZuTAAzYVpMOqikZrvpWbvFzqgoUckaOEMHy4cK6iqWOSHlil0/I+eCM4BaCHJOCJN2i+LR34OaBmpLEq37SCZMH4+zdk0MsomgEERYUuA6hO2AiNolXW4MXuNJrBUGKDPCrXaCy/e9fs+COSfyavA2VqH44f1qpUJapVGyF4VrNfh2C8oALwI4DFAcnkRAhcGBTFYHWIM1IICTEoV1Z33j5GQ15xnhskCmimAJEd8onlDJhIquSW/SVkb8UPto0HatpEpMKAOhDAHnH6gN5NOA/TfYBFSbTdRljC8DLp+zQlgnrVIN7zVA7J+kIRbml71Wcy9lEzD5YaHPTWFM1Dqky21U0hgjtOBeBa+lVzKD1FWUKWE+R8RzQPesSXR1fekFtuD6eSTaiVCkgZJQsSMuelHoimmvVTuZU1f1TBujOhGzcQ6rM14PcYKMQYOjTuDkThRlJbCxGUaADApHKARQp7PEDi1VPWnSJF+so8usgVNn3cu4rp8nES1wyBoALHvtxNRBUHbXQZ1kdcBhCjoHXw0Cyx6QOyoBrRrvUEswkC+eSG0OGEIrEG0zn8aMS2uxYvs72JE2Z02+Il2MeMq62a1DRQZnxSfFF+sEghk0qw/VIiGBb1RCqA4RtQ8ou4DpXrtL0yv1ybe/zsjL0pKEq44YgMvbhOefKCImHx2Ro8F72WsnL8wRYfYZMU1saS7KTpqjJhgAxBKUsLgEUQT5fPbOulJ3SgYju4rYV5RTgoSEtCnU1CFAYkaYGelUDAlT4AzXsO63+zry52oziSEyci6oNUMuCklvgYX4AUuY7tXG62B7cSfgHWsQYzC9sATlpLNuTit8kI5hsEEroxchqyBAYeC+350grKEvNoUwCFB3CbVXKH+cVbeQBv2cOig8uV1fArhnINo5EzVwwGz3ZsWFfBSbedbzIZ0Ewzu0Djmgc4n5uTT5NgCt+ORjFcRKiKMdXR1HqYOyYbbiZQXyyfdUaEVkSgESGTQlUAlgJ96q1WTfAqTLcL3zrW1KtG4+AcpcDUinDNo+FsOZML7ULnz/MSN22eac61WHfDkknL8QDH/wjPPTgOVDNuSKEaYELUJpYmSFlJPAR1KoMso+odzEqz2fJoEs+myCEc4te+1O5B9ccH9zwbgklKLw4iIAzQFUo5JgifrK7hlID7wW+IPGQMteiwphMft916FmwfxWkPcVXai4zyPGmnEce5WFOcyQHaE8R3SP2k3hzv8UcM8INwv6obSAklm7QcIEHhiLkTaS2Hk+2jlQ10SXzDaqnWMtcSFqCbvPrHpckqzLr35F/dN8p+dxudGukHSicUvQRCYEwdAtOHQzTmPX4KWOLMJTh49PHdJTRH5eE2dis8kJRhCpcUl3Mrm6uq61k7uFmRX5dBMbRLsO1sCpmjT3H4worFhMVAXpVAEC5rvcii86kpEw3wPpwhi+PZt6gBUmh9wIucqLQccBhmB+XIsy6nP0Oi5vCZIB4h63dK8ja0tF2KhGEAPjq4r4ZkJKjP/bV38HAPDm5TPm24iP725BpwjeKwszFUL6kKxoACAoYsDZw7vvlfC03DDqQZAeIvJzxOVLwo9/9IhLyXj+6hbxFFDvFrx4ecLj0x70jcJneWfFlE4TrbJ3HwLEc0BlQv9ixOvbEx4vAx4eD0i54rPXTxhSwcv+jGwd3O+PBzAHdEMxQIj6sLifET9ndKngq+M9Agn+4KffgoXwy+9eoXzoQIXw1c/eAEmwf3VGjIw6KfN0fVmQfjyBS0R96hTFuWeMe2ijyxo68UPWeGjHkH1VWdNIKJUwvlJ/VHYM6hiyBAWsfDYj/tFZe2vHQaHOc9DzKDPSvmC3n/Dl4RF3ecTxJx3evbyBTCrnAxLQrlrRR1BKxOW5R3jM4EPFD778iBgY53OPek4ItEKm46TF49oRkBjlZcFpb8WUIKAlYPfrhFASzl9WyJsJcV/AP1Lm6nFWze0yZmXqvy+YP6vgJQDPSZsvPQNREM4Jw3cWEAWNIbnTvC0/E/r3CcudoPxkhAihftUjngnzCwZezihzAF0iJAouZyWNo8CIdzPqU4f4EBBO/4aSXETFp9c9tyAPEhRKVj1p0Y0prVyucDsyWYpABA4Rn3Yj5ZPKSGNNtS4NRa1ehsg2Z7UmSuyBMJTpqyWAXgUVa2ZtKykbeFe1OZe6FXi2maWwJaPwKrrh2CnIutmCgEy/q1JEiVbpwNoB9Pf5jRcDJHrIUWFQrRZHhdbp/FcVMvwem3bpZg0RBBQZXa9J7pi7teObtRrdZIcqEFiD3d4gU06OJIlQgycEn1RoNy9qzJlaGfZuJYDr7hrhSpO0oXmMqZhgwfxSgWpyS9US/i61oIiYISZr1UhbosKmOSrc1Q9on5MsBz3srwhbnH223YgliPuqndpESl7wrAc7CK37yFExOskZr6N1ZBoBij1fBabqvXow48iAKM2mUlfR9UWDoqLEBc7W2+Zgt7bga9cC5/X5iDm07YtFK+8hKiuzog2oJeitKrnZO7CfUVux93NZK6vk+txX63CxXjOFNaj2eyboOpHAuu32Xt49bM/B1sgq3FdVf/MPq9yLtBksTVK260ENjeAzmcp6Lq1osEV7XEmx/JZX6zRv7knv2yrfm9/jqKblz0/9jwbQKn+12ty/sqPlprlNkmyt2ODJTqBSBvXRxTgMJAJgWSvyW79Lmngut2uHC+SEaNJQDxACcVCuAA8QGSrLZYzv+rjI1lw2HQ81rEZakwWSGKGr6PoFY9Hkfit/poQ+NlNnxRDnb2hFQS8otfW6uq31W+yzeRvfbmu+zndjI4smhiqQNi5z9Rntnvy8847XpjvCZh8NZbR2abdonFaQJfVPMKjwViplexY2W7dKOif9Wd7wT/h1+nhN7bQzEgrQHTXAd4b7MEtjiHcSLAnxGl1kz3PlAFivyZEKZN0niGwQRdYFZyvUbJAa28JOQ28wa9d3Y9/rBbhdBps/B3z2uww+B7fpCH/SyeVMqHvGm5sTvhfgPAXIFJCcvMZjAn++VsxR+HUBLVWh5lgTXF8XYO1Q+gwud4JDv+C2n1SySUhRaL2OYHFW8hqVHbJOfFWfoOgz+4ywXhuxkQKK+nBdPkEKFYFEuzmVkLMGLFNa/a4jKbyZEKImjgAQAqPUiFqi2nvU8RWPq6gCadmsj5uY2QJHKMmooa7c/hTSrH/XUSL3u5t/J7Pr7EmWBeCERg4aIiNFlXpre5CgUjYA6KyqAD4OBrtX9+txMV9kCKzgHCKaNzSkkl+bsuei+c4t8k4TZWNltn0Ai9m0IGvd241/UPJRUtWMqYCSjZxl3chCBOkiGs+EnRXa9ddrqL3OVnInKHtF36SxAtPGh/hzGVT/tHLA82VAjhX3uxFdrHjsqkptGneBILTzsHb2TJOiDuIYkJ7Vn5UbaCzJSkZGlXDXXRCcMA4an++7Bc/OFeH72H8gbNbVYkmqSnB6yDMeLwN4iuAguOlmHNKMzoLvyYgyXdYT0JhdhLDrZ9z2MwoHjCU1fd0uFHz/fINTl0BLQDxGcM9YlrgaMIDQVby8PeM49ji97xFmQj1oLIZCyjC8BB3FAsA7gJKoTE7U+ewy0AaBsN5zGhb8rVfvUCTiz5e3mCWB/SwyZGqOFYc04RAnvBwuWGrEA+9Ram7vGaxrXWsApoh0IixRu9qRrMtsRfQWu4lvUjOMLJBYNSlNDL4kxDkgnYAwabIUAiPvFo09F5VWFXvfkCtuby6YloTLZIl60lxM7UIMcbA2LWF7Jp11rKyzwtrUd1pc7Bk5V238Fw2cuKp0qY8bVWiRb8ML+9e+/ieBKx9/j/EP/u5f4t3lBt8/H3B5HjA/9EgXrRbH2fQRj1Vn8XYJdZfa/JE4KYnoTBqARmjBCAbrRGN5rTtoArARs4cRKbkgt3cmY12rh2LVw8nYPKloF86JDaQXIDMoM5Yp4Zt39+ttRka5Z9QdIT8F5JNtyIs6Tn4fwV1EeTvjcD9CBDiNHZY5oTx2oIV0+BvmaKfVQfqfYUPYBKAFPtwnUNb3byRDYp2bpMlcvKi8A/Vr18fhVWWvVZS6E4S+6kaygf4LSUtGvDORn+2e7KCJ5jjd0UqwaxdBugjyiX8jsdKASbt1TdYoAg7p5aizLVud3tbNtlOr6S9vyYgYQDVJJRGVlbDASLq0BoZVWlGFRNleoyVH84uMMoSreclGJMGsrMx9B9luonnB+Ebwkz/4Do+XAcfTgPm5QzpmCOkMZiM9m3m1ObLk2zrgnyZD1YTgvfuk2oKkcI0xKES5V63PENU2pdPOLLHCaatB3yHKSOuFgeVG1730tOnAogWdIemBVA2C0ncFRMAUurUK74meJfDNTzoEzkh8vGJPog6owcFmh25duw39/dDerxVzRAsRV2zYLTBbg0nOhPk2NsjrGmSiBTwSrAvg8HcvCNg9eRLrMlhtlsqeo66vrJB8C9LiuVgwRC3QNQNd789hbfZcPSkh0b2PioZ0IQ6gkpRxfKkg0QCpEZ+1wGCTZFgQBSeVGhIQyXQ2CWWn9r3sLMEdjPgmis5xB1o7udvkvOtw/D3gB/+z7/D1dy8gv+gRbT6WZ7J1MdKtqW7ulyA3HYBu5QdwxIkl+/p8nEH02h788K1VD1cvWqg0i7KExtnRN7rX3DdwDOtzLQrLCwtdPQ9AoVwpMcquQqaA+KTkefmkM9eesHEGlls7I0Q7DNsOZZhpZWFuieoaoEsEeCJFmpB+Q2xNiAXSp7VwE9QWGks11vfzDmu5ie3nQxW4Bn0rwlhg3ezfi4Z2FsbtKImoTStRl7TAYytlV4bYEjqIFqTDIm3/tUJKousiUQVQ1s/zJJijdg7DIiDv5A1J3/eyaAfXNchJZ5clBGXGT0HPtaU2ZnUnvMLGpuqgiIWyA8a3CvGrPw8qu1UqZJwgdWzLG0fVr/zjF9/ipnuBX0btfizzoGRE74HupAl/HQJYRMnoAMiL3DraVKEFWKgfWvYBNaPNoGoHVm35fO7xLQfcDBPe3JzwNPZ4rHtUJkXXAEaEtJ633h11Mk5iDRqXe9azuGcgMXZdQQiMfZrxOp/wvAwK4+SIaVJSQd4xLp8p2VL/QZ9bOhFqiailx8MxgzoNarkGlHNSrfRCysDthT6sPtsl7fRBWOwVCWxJIomiFaJxrzg6AFBYaNkR5tvcRt44UTsnXcOaAkEygRLw2ctnHPIMhsJLY2RNbiuBDKHh/irO61hZrJu9Yde6nvuWMOxCQ5eFRbuMy047uPOd+gMAjVGdTWFgvl9JT9W/EdKNSQsWQSybkTIJDbZc7ndmu1HRELuA0iuRpZN31U45O2pv6BKDmNYBKF/MiF2F/PkOw/eXje9YHcl8BwwvR/zBy/fNBz7NA/7q/SuUJWpN6W5BPSfQWbMhJyeVJM0/UVUE4+6d2mXdB5QALK8Lls8FL14f8aPhAcfc42dfPuH0skefK57GHl2/oP6kKrHrOSuh40Na1U3M15cbhnSMy7nDz5dXmJ96xIeEchPw7nDAuVf91z4V3HQT+jcFOVTcdYpc+It3rzHPCdIT+lgAJMxV523/6ullW5p4U1TW8BAQMuP+ZkSXCoZuwVIjxjHjm29eqO1bkRJ9RR4KlmOHeFE/oERw0pB2yxw0B0nA/FLtLj8E4KnHcs/ATUEIgo/THqe5w/TdXiVM7yrCjc46M6uU4ffjDR7jDv/yuzeYPuy0aVBIdWWXrGGwESqGyUicmPDu4y0EQPqqR35c+Re402eFKMAStCts5wyiGJ+G4PgHRe95qCrpWwLK3EOWgPCUNC41VBzPEeOcG3M3ySauFNVorhkgm6PvHtVxKBeAFq/mr/daoN0x5oPu4/Ju0LGlgybXPCYwQxEvC6EzwlusghR/7et3hysTgX4w4n//+T/Ff336Kf6L8FN8S8B8o2WgZJClODPSua7U6aTBtcUA+rBmBl24JXDCUCMSNLZkSQTxzq0AZYma8TulfNT5FmeiBLaJIzX9rrLXBDyctcqkQakmETGx6n+NUTsM+6IY9n2BDIQ6K2FEYIcnEbqgEJLymrDvVZ/qcsmoow6bhxnrzFl1ZmVpsM6V6GNbGjVnkyOYlKiHe91IcbIqe1LHHIEWRLWXJU2SyCAnWgFNidG5/q0fJtETDQ344uzsudS08QC0dQ0VQNX7j5fauqarXQCxCmhhLSCEuHZLAE2Yks7cu2h0mx81SSINLGk9REU7tVtCHhLRpDSsLLIqv1J005EXT/TDl5uE4oFI/qSbBijBSZc1EN1A5ahWlDvG//LNz/CLyyv8on+J7+IN6pARrOpZCiG7LjN/8hxFQMES2vZsV7itENrshK+FBurWWYVWOGsS1MTaea5K6EF2iIYCMAhpMUh5r/C2dW7X3rdoEBKCTqwsJpm1s0r+2IaW0QLjbbfZA2MxZMKnxE4N8bB48Ix1XhLre7SKeCBDjgbrMGriJVEZ966SRwIQXOJhTd71m5v39uvKhq5ozNFrktDuz7sJvier/ymIFwvwg35umBnxoutUb0xGxYtOGzIz72i0zzG4jhO7ETxQchZRvZHmkIkMxr3OuTUio2UdCJOkcljlJlvSrP6gDFrcaHIcGcqCGQXshSEAn7IrS58wvy34X3/xP+I/xt/BVw9vITGgHAnJZpm0GKMJOaxwJKQJv0RCPBfEc4Fk67j7LCd5AWrTYdw8t5UTARqgB5uBhxdNtBPNOVgCpWvvz8aTPmpnhb03ic3kWieoq6jGNp4uSgyUJmkdE090uRfztYRtIcx9tie2K6TUu/ZrhwKGbMAmWQHQbMVnnbcbSPUwBV6FL4NroaN1CK/W7urvGwRG2mThvv/EkTeCbTDsHVxlaze/szBQrfBc2nQbeEiqY+q2v5n5CouuJ4BGJOTrupVn4hxBgRBOE2ia12KLkVARgGrEXHq2iXZ/0zpnrgoF2mHlqFJU5QDM9xos1xz0nFgWYJogvEqrxIlBXcUf7r9DHwoCCb7Jt3j3sQcbJDFduPlngFTyhAwynBX+3T1ze1YU9Mwsgxcd7TlYUFhG7drc7ka83R0hQjieB+32ZWndrmDrJJEUqcCidbsLKwIBUTtLmRGHqt2WVBGDkk69zCd8G++aefAcIVWvv7zUjbErgFhCSCzK/BoC6oGxWOeNptgSnHY+b88Au9YmMeemZudNgO6fRjZYtxI7yqkxHwLm201BatvxMd9MlfT6Afzw5hFv+hO+udy2RB6JAVZdd1qUnJGWzV5pNr8mtCuyj1riW43PIY16vbUjTC+DxYsAZ01gw0wtwWHo6AB1duYVIz/cBSPkNP1zG0MQQ8JIAMpBvf1y0GK0E7hSIWTT3HVYt58TNQN1rxDi+5cnHPoZZ9ohfjjqiNbQXfmDuhe8uTnj9/cf0IeCPhT8xfkN/uz0OWSMSHcz+mHBaYyIoxYeGirTkU8SQIsW9/pHHd0YPwuoAyG9nvDjNw/4Yv+EN/mImzjhb7/+Ho83O3x3vMHp0uFmP+GHr59wWjr84ttX4JqQTqSM5GEtGMhOmX15jJiPGfEYkJ8JJBHnUQmVWAh9TXjRX/Dl/hG7uOB1d8Rj2eFnH16pHYuSsEVhhcIy4XjpdeSDgH5Y/UCKjLthRB8LXu90DvbPvn8Lfq/EjJoXKANz12uSG2bNF3hgSGKkzMhdwRKyFl+jYLlR6Hf/Uc+usiOETmG/p7nD8dIjfwzIR0K5BYbdrES1JaDWgMd5h0SM6cMO/bcJnLVrD9E9a65+de92NpVjBiph947QfxRr9lmh+G5CjILx/Q5hDOuetfOKMuPw+RFdKjhdeixz0o7wFEFTQP8+IC7A9MIajUtQ5vISDLUBnae2Tm6c1QEudi7no8ZYl7eKQqAK9O8jOAuWH83o9jOmdzvkx4DljpFfFTATllNSFu4jNQmxUAD5N5XkhnFGIMHn8RE/6j7g925eoHLAL/Y3AAfUk1aMyxIQbpIF47Z5ipFahA08BxYsRK0W18EYBQeHZllAvYERt04NrX91Ap9rwgp1au0gJu0U1B3Aptu1v5mw6xYcc48p57VQXwLoWWdqg2l/ahK+OmhigE4R7z/eQCpp8m3U/WGCkVvQqo0LNHhLzQShgGhzhnofUYNCd84bqv5WCNhU1qlPytQar4N/rbZrJYg5oCzAY6Mf1Q4vsWveuuNx2KasBy5hlQeoZsiT6SLzOiDexOGh181EjYWzzQh7sGh/erLhBY0GdW33rFBB7V5FgBJcK1HnXJ2dUKyz1WvnuQ92vXo9ix2qyv7mc0nqyCQAUhlUrCu+1cmNEbhd8A8OP0cOFQ/zDsehw9Ne166zIkGDGYoFq5suiy6OrHC8RvhliYI/N7NVdWyMAGApEWVRsXuU0AIPPUg3clsirbPps9C1B6rDG40gLWSFhXSpIgfGWBKeLz3mKSPMoRUc9OY92LDn4nBOI9fRBBIIk9qYJwHbgLzJi4hvRqC1hn3vmE1xDkDIV51btyf9njruYGN2jtpoNs8AzaSFF6Z1+cW7cOtcjQZS0mBs0XQKW2erwWEBFJs/tXWhRdnEPYnb/mwaxQIeAbJ9P6/PpDHLbxIXtR/aJDkOoxOLmdVuuDdm5OSFnbWQ4URXYl11iVr1rzsBebEuRkgpQIyfNjsBAPFQ8Pf3P8fPX7zG1y/vsaSM/JRAorPP0RibqfdqsK6BjqBAmZfHBahihBbWdQsAOpud3MCB2zOuAbWKdmV4DT51/2p3w4sPAJrkh79Kr4kOd8By8KICoY4JhQQlVT2U5wiYjbciju8Xe54u9eUa4O06LGAGGyPxLC1YcEvzPVKt+6T/GFCHpP4wW4JWeYWbe5eUcTX33fYFrSgat/NGhENq71fwZPP5qou48RONiET/DNOmM18ZVIISgRQxKLjuc7KZZ4eHhyJgZf6CE0hdyTf53jL79s6uaoqzQn4Lg6ZFIe45qf6zCGheIDEgLF078yTHJhnVzjyHcqaoTN29FZItWJYYAFcliBG0ZcsvjG634O8Ov0KE4MN8wKnv8P2uojCw3ETMFw3qos8mkxVEDXXgzwZBZ8adPT0sWlj24m0ctcBWbwpi0sB7rBlTjdrdciQOCRoJ3yfhjdq7Fq1A0I4OXGNe0Q064xtwrAMmTjo2JQSZVFKPTGM9LHr2XdmPoHVOedSOaH7W5Mb3Z5yM8Rxo11gGQkgqjRct2XVf72MoHAnoveNvMYeND8UF6B+NffrGikRVXQUnWPUe8PGMj9MehQO+Ot7jOPYYx2zd5qDEgbM1VryzukFjNZ4Kl7es9v+2vmlkyGxz3S+sYDdakTGRak3bz0ZLdFqTJkLJley6y0CIQRsGwbWeCcZvoBflCDY9vwXEwR1JI7pqzPx5fU7ut/b9jLt+xClacYjX0Y32CoJSI461x4flgEvNeD8eEDJ7XqJw3UaiScBRb+wqFkkaN0x3et/zPYPvFwy5YioJX5/v8H+f/xgAsNQIhkJdY9Ti+dvhiC4M+HW6B6eIuhfMYjFJZ0nWJQKXuBIRVVJliT3jbj9ilwsKB5xmZTy+lIwcK97NBxQOWqS/A0JgfBx3mIt2GmsNKIvBgj1esRyCsmpK51gVigtgnrIWkYLOv4bEuD2M2rw6deCUDMKu61wuCWWKABN4JwgjIT9qA6/sgeVWwIMW7koJOF56TGNGctsJghQZY4lYxoRaAj52O42nBXAyJ1VOkEYGVu4q0DPCc0J+0nvj27XAqOegFv6WGwFYGyYINoc/BqRZx5PooNrGtQZMkiGiY2Ved0QSjD/QAfw4eXEsoEoHmgOGj3qelmflpCAmHL9cC6yAXguAxptC1jyTaAnzpCzVOsYC5Fz12RVqyCzOdlTyun/+da/fOcml4xkx3eMP8oiKX6IiYBcX/OLFK5SQsZxic2wSIuIkGN4vFiwqhMv1RNcZQHXatQ+YDwHLQUlK2OQmiMkgXjpLqDN+lgRa5a7NLbmTxBoceAC63ADzPWE5QGcfh4Iv7x/xw8Mjvj7f4cNlj8uccT72kDlg931EPir0zxPDbfBODHQfI+p50DmGrEF1OmlA1Bhaaf2ddljsNLCrnSAua6WGxCq4xZlYgSutxUjG3BggQclKqkOD7X6pQJPsmVAXIxoao65jFKWBP0V0T0qB7nNVLp9ALMbsJ0ijyadcamMUbtT3RgpSu9C0UxsUyGa+PMnV2SZqVV792fV6tzNy3ukmaLJJXQZ3CbxTgoStXie4YnnZY75Pa6VL0K51ekGYXhrsxwbh641SvEsgoBQV9x4jiKfV0HPCy1dH/G8PH3EIE74aX2CqCR/v74AQwe80CFS9RdKlD4pGQASuGBj9uV0FatZZTmvwwQMDgx6I85w0OJ8iwrgmoXF2UiQ7jMMawASDiHHWvVM7nZ2XjtF1BX0u6FPBkBac5g7nxx0wB+SLzQz587BqvK+xXCXoep/e8XLmSmXgtuQwoAVnbV7cIH0t0LDfA9SWlxy1u+qIhegJHplOqMEtQZh3zqisvx+KQky3hS/v1seNTuR2DdOkgX5cfHxA/ZPbTVhYSaG23a9L0TzdAnAK3rnQDo8E0w3vNZdxVERqGuDSkmxnJBeCFkYsGfh0XrbpZ5t8jq6ljwOYXukG/q5sjoJ6qLi9v+hhngZgXrQzlT45Ahh4eX/C/2b/jGf+E/zii5f4Zn+L5eEOAKF7IvBkUV1QKKLreIe5giojHCfQeQRle+8UlEAsBghFI/ujVnRp80KFwBJ1/30CsQ0FTZrMO3f1EA1Vovaz7AnzC+um3bD6wArQKWIhUYTOkiCjVqavCjlQe0gTIxRCOsdmG86u7fBe5znIJvfitgwr0EG00MDe2Qd0VrbmdXaYBajqu1Qn2YpxsxV6nbtAdH9wBHhQBEqb8abV5uO0BuASNAhPFw32+8eNbVti5mMN6VTUdxTlf4gbaLx36J3kiZbagmiVAwrNV7kUi6OklORH95LKbqy/F+aK8HhWCaFxgpQK6jKky6ClQM5HEBFCZ92UFJourxcRObvvVP+53GhHrdwI8t2ErquouQNKUfKzGLBWHPR6Xt+d8B/uztiHv8TX8z1YCN++uMUld5he7kAcMHxg9A8rC64TCynpopJQ1Z3GKZ6gpYvp0WeT23smhAHgzwS5U0d6WjoNwJegBXRPOKMXMjzx9XNV9/ZyMN8+BsgiyriaAurOUDg14/18g+PSa95TCeHshJnUChHLwZMni0fYGnczAaeIMBOG72iD6HJkjsYGdUCDmUII3aOgO5mkm3NbbJI+zqbTbmfUsteiQP9YsXssmF7lJnEWFv1dlc2xERObQXx3POAh7vD+ww3kuHmeMzVZw/5Bx6jcf6wEqApBjzMjXhhprHped4og6kZNEp9/1OPyWUC8CIYHaV0yRQjaM6qAa5L7XLwXALhTScl8BnbvlOiS+wgOAXGqSEcG99FiFEJ+LogLo+wSwl6bOtM9WYffYlivz4gmfySCl8MFX+4f8Ov8E7jeNApjlZ3Q65pLxMd5j+/Ot/j++QARQj/MkJ4wzwnLmAwKCoRKyBMArAX35VZQ7irqPmB8E7R4+IML3t6fIEK4LAnvng6YPg5AErz5wRNu+gkxCHIuuO9H/O39d/gu3+LP+7cKj79XuDDtCw63Iy7nHunng8pRmQ9dbgXlloG7BT++e8SQFvz5hzc4XXo8o8c7HBCCIKWKFBhvDyf88OYJv36+x/tHJaXixYpIs6I9wxg0tjGkHGfB6RIV8m7ar7JjpPsZuSv44sUTdmlBFwpSYDyedzj3HZyjAQKF8S6EcltBdzNk6bH7XuPJxz9i4MWMYMWxMicsZ21+eREaSdDngsulAx2V2OtBSDuiNqfPWRNTKgRM6hu61yO+ePmEv/rZW+RfZdANUKKAkjQiwOmNYHm7qB+ZNSukjiGJEI4R+VH9Cd5WhMhY5mTAI0U9MWlDRTrGm99/RJcKvv7Tz7D/YIzhzwFxBPZf6/ni8cf5h8DzHy0Il4jd13rWLndA7UTP5kNVSVbLVGkO4JrXJltiHAwROy3aJNRiojTZq39zM7kpIkZGTwGLJHwsBzwtgzoAxpXe3m99fQJxdeIJsVnN7ZC/d2zFkloClMTBoYi8BkZX0MVtxyxg8+UkSqLD0oFBJE2Y2QkipOoGuYJrYlMBxRos6SFC6gQFbf42zp4QmtNPmtRzq9Z4VZDW6/bKncFJ/dU6P1gDojbjGD2R1qot7OD1qrq41m8l65joh4XZID6b7sbVn179/6QTcEUuAX1+ocrK4XXF+LL5sdbJlStY0adwqBYU+isFCAcgaRd3fSheFdsk0xaYAIBY1ciTSIVFrfZ0lbDhk3uyvzMHMBjV5oGuv+9JrP2ez7N9ysbrwWm8DtK8C7eyGItWEp3IrGKtQGJN0gC7bqFmD/7y7qbDsLgTFSDvFLIeN7IT2/vQKuealCuEXFYbohW21Z6nrMWJT5MHf56tC+UBo8Gc/Xm4DmCbxw2b5+cB7nZ/eOFbDILc1sYC0U2S65JdTkQFxiYAxycdVcFW5xNGALO1i/ZcK/Q52WK53Ijf2NXsb1kTJqrSEqLW7XL/xVj3Vbvfa3tz8i2fjay9zW7la7/Z0C8ERXEAyFvbZsanpDzb12/YR3vesknOVxuwX9KENoY2M6y+SQmxareSqPi6sHXoNKin5m+v4LnmEzUB9G63JftRgGZf6/y7EzKRPyPYs+f181sRzSCFilAxH9psQxrHgb9PcCjpVirIkRvuv9n9+mrLPjMr1YtFm+79byz09pnb+vi6LVo83dq53pePw2x8bLtXWeWB6m/7PFp9HwsIAiH3tXbtW5TQ9n3Fulu8WdeCK1/6qdtECCr94Ul9INUqByAu/xaowZS9Y6pM9OvZskVxcI1YDCUkTuj2r3m5nS9LBC+xjS4AWrRdzymByw35/P+WTX0tNKydd5XrUSOoNWCpAUuNqr+5KDLHz2LvUiuJGCGIoVew+rt2rwHKTZKVOTzFirlGfJj3OJXuSkrm6hELNh1aW3f3PVDCPy9qtll3P5u1eb+eVQ7bT7TKDLlfTro2W5iwdo6p7c/1HHQDsWVs3wd8HEaYMBedsRRDM+l5RU0aqMGSW9xi9+wosSJXsHn9nqzrjtXOW5fWf59E54Np/XeP8drPmO92/8IpNLRGO0s8niqrL1F/DkO5UJMHK8M2JrCvpIzqS404lV6vx4pEssvgukGgBUGXKg5pxov+gsJKqHq8KPM2e5EFUHIxkwXCZv10j6tPbvKRAHKsuMwZc0lKDDRqsngaO7AAl6lDWSKehgEfyx7Py6CM3VvSPwGYCVwJyRBWtdd7rDuB9BqrzBx13t+Ipq5kkoRQOeC4dJhqwmXOKHNS6GxmnUefdb52Wwjk3goY1SKnAMjAoL4i5YqUKpYaEUgwxAVdqOsZQmiFlzVWJfUdsjYaqAI8RtC+IOWCRZLqVs9mRwkAEy5z1k6ySX01+dJgMRuh6ePWXs+6yISnsW/FFrGNI3DpIbuv6uejxylm2zHBeVSWUddLSaUIMhjqxCVcK+Hxeafkb5PHaXYtQqYgQZ8UZHzsQ9eh7mydiqFLKrVxVJqUI6SR/mHliuFBu+2NzNT0qv+GOe7vnuTWV7e4GSbcUI9vyj3+0+//Nr57vgGeE9I5oHsQ7D5IO+hClRVeW8WqrGtXojEk7nQWgj+5Qt3QAvTqtbgSZDEojlVitkHjtrPlcFBnXyw7KDN0B6S+ousqpprwYTrgcRpwnjKmKUPOEWEO6+9soCMtKLIVj5M+pNqtYvD9R4WKNdbHpF1kfV0fRHHCKqljndt00QDL4XoAkJx91t6iaSYGahA6Xy/tmGgltz7Hq4AoHWMTRXdpJCfdcUcdvNtWtKPVglvr4tBSITmi7vRhpVOBw4brLqnkSNGAwzVdFfq0njRt/sbgtt6tiMsGKkaEOiSgjy0ook0QJV1S1udeq6H6vPRmw6JBpFeg9f4toDNmQU4JlDMQ7f23B+G84Dx2+MtlwTfLC1xqxmVRsXRaaA14q9q4d5yarEmg1qmTGFQyIWl13slJam+Qu167zOgYMTPKFCFWhWud6dkCXLNnZQO2w9S6p2WnTKPzC5W44kGQ7rRCue9n7PPSGCqJBBSVUfcqITNStHzaBClBjX/t3Mp6CPu+gF6nowJawGedqOTBgaAR2Cz7ABo8EDcnOmhHtumX2n5zSJh3LMMioN4SowLEQld7wP9/lQgCumdpjLNOjnXV2WMlV6KpNoi52qr6M2eHR2HEFEyXU9endgGImz006571jpfqYEqDN8apghbdSzA2dVQ2GKczs22KhaRyacuN2vpyu843tUA4qL9yWM/lrFpGhwVq4yyQeb6aVSQRTCXiI494qHucl4xliTbKsLmfRZBOS9ubvs4UAnjoQDlCuoR6yOCoYyecCdNdxHxLrfNBouQ37HNunagft4DVNVvdFtRnMFSWaJ095xg2M9B2WAYBDxXBgpZoun8qA7TyIig7qiesun+HB2UULTube/ekTdBmJhuB1jZw8oDUbM6LnBJ0Ts/Jy8gS3Gg+vmlqbxMlL15uC3dmU2GCwjLfqW+fXmrAFC/6eWGG3dP6fk6KF2dGmK07mZX8jawr3+ygGnIBVoAw5nO9Tk/EqMnr+GupoUnR5dNq5+ZkdIacBSFrx4AsqZasAZfkCNwd9P/7qGfIkFB3iuyablVupMliGPSfM9kZRigPHWpUCTqUAqPmxZYtn0QwLgkfecSZXyGCMdaE+eOA9BgxvBPs3jNqRzi/jcgXwf6bWTveLA2pVHuXPcRa4IARAx0MKeTjMIUwXzJi1ALjeOkQnpMlDitypg66fmUmUEdgI7Hi7DGSFSx3FbefHbHvFtz3I/pU8DDu8PXTHSoH03Q2dmBjfYUo0drwXvfOfGewah9FMcUB/TyDB3rRzfZG6QjLnTJ5q1ycouHE1tf9jc7TA92ToH/ShfHCrgfay56w7HLbYwAaOoHzRr6rEKRGnMtOf3HUINm1zeNkhJkm/VYzGcGa2AiAPps4MuLEBrWOreiDQCiHuKI0jj46o/tT5fiAOa1nWUMwnDy59hEutE7y9CKBOKF7KoijIYEIQBXlqLHmROmA+VZ9Y+01PuTsMoKCK94QEqBTSO5x6dS3vL3V8+AuYSkB+P/aWg6ML26f8G/ffIVX9ye8Tkf8d5cf4f/0J/8eludeO7hFk6DlvoKYUAzWno8BZHJ7NBHyibD7TmOo0UjYLlOH8diBzsnkmgijHHBJe4SLQsh/fcr4LwDMNWJ87oHJEpZKYE44F0XOxVFvbfrRjLvXJwMtqg1/83yLGAR3w4g3+xMqBzAIU0k4Tir1+dXXL5scD1WC3BZ8/vlHzCXh3XgHLJY8R0B6laPhEoCPOmebf3TCFy+fUDlg4YC5RHz/dAMiQX6t0lxEhuDMjLzXA2xZAoT0XumcIVHw/NMKqoTuISC8Czj/oeDLL97jl+9eIL0f4OzV3AtoDDh+e6PNh/u5oVMBqN+LgnCK6D8ElJ2Afv+MlCsuH3Z4/HaHNJqkXCd6/7Z3lxu1x/QhoR4Y+bMZKelcsAjhtM86TjoRhl90LXYCQWeuX85wqb30FDH8+QFxWnOg5Y6BLyYsY4RE5Sny80YiEJ8j+o+Eu18UUAEekhIupjOBakDdCebXDGFg+E4l1JYbnTeHaOIfA+PmiyOYCZevb9C9j6g7QblfwNPfbCj3dyeeSgFEFQUVT7zDw2WHy5gt6dRDKM7cDuyrZlMAgE2Cu5kxbZCdsPn7ZpOTVy0YzahD8YMYLRgG7Pe3lbCoztyrHxLF5hO1fFk4rJUiodYlUrFjC3Q3nYarbmQrUun7h9mSU5eBsG9tAyEArVpHAhPpXgMaNoiPV9QkrUyX20q2zuz5g7GEB5tukkE0tl0GDYbWYPKqq8TerfBD0Ls3a0LVmIyjtG4EVZWHqtt5ZbGOpAdcVdoskttFC5a2SZIHSMmzFFvAbber2SKBU2jBICerMJGtpdgB3qpebiubhJYICGswtL65oJaIR+7xzAPGmlQYu3WB7HoF1sW1a9tqjmwYVeW3fTkUyoS6r7pPm8rnWmH1ap8azqfdIIeTrV1cJUjIqaKLSlUf7MaDVfhWPPXGth2qCai4uhh7LbTwkSZzyHmFOK1dN6wJ8OY+V5kfOOlkKyxEQbuf7b006Rhe33ML/d/aTUtWPTfeFHa2XaawbAJxWd+n+ZDCIGYIwmqDG5sAzLbZK2oCr46K2QCJ2qvLj7U91QKj9QvMrZPcijfb5Hr78cm69J1Vvx3quFl/hSPqvUkJa2XWbfETAiKIau89s+BYB8wlgWtUdtK6rrHDTyHSSKz8eVMkSIhgg3HrPiQr6uBKNxjm09yHyqaj3Srvmy3QzgX/Xeh6X0M89Z4lCMhsPiVWuTlaUSbbc8Lt29/X0UcKi934RZuPvupu+YvQikBum8qQrLbLIuu5QZowO6IH5ZPnuzG1q320KfSEIkgjUKt1X8jO28mLop/YsifYLg8Ug0q6bY6Nq5qrE++x29C1rZB4sXPj18umkFQ3+wqb844IEoJKp5jNOb8CgFVjOdoMbtKikReOORuPxqao4cz9xAAtZH75er9sX0KEUgNOLDhxjzN3OBdTQXDSPEuefebf7zfODK5aqJdtF9JtwBPRZDDzzp2aXiuz6oGyFVtWX7B5D/OTANr7t0Q6QN8vM/amF3vIE4ZY8IAdlhLBRrL3G7GGvVecNcmNs3bS3NdLNUhxNJ9CG58pm3uzGUFJULvOKxv51m7bdbfYja66+W08J7lNrW7c5YPW1i4UTg1oYuYxSiPvlNYJ+rQz7PPl7T43hHgN0RX9OaN1sv15rHrWn5wBML/uPDMWZ8XFC9qGWAI+2TvQWV0h1EYutaKuxCCq0guk1yFlRXXpNVAUTEvCUtRIuAvgTkfVeIv6YSBRxT7MeBHP+HH6gF+nl4qGq+saSoIqEhg03jvWvoZtLe3slEo6e8t+0ECRXQTlwxAgTEoCVseIJ9Nsbr6ixc+k3UOL3QEgdCpxtHBQKStjHCYSvNoxbvLUkHTPGHCcOl2X2cbMzN8JgCEV89ekn+1Sgh2j7xcslFAZIJPaej2ccFx6HOcegYBaNBeYampz7r6XYlLk5+IKE0WLAxIB2VdICQjfB6QzdMbd5I/CouslO+vSitqzZCCm2kAzIgBFad1dL3B3fUGXCsblgHTSdeRoyLWtD/GCqEP/awAHQfCOtP2MI4LcD4HsetwAzA/loyBd0EjQJAHDMGNCh9pnAHoOaXPR0UKwQujmHLLRNOXpERDMFoo+p4ZitPO6zyqfeTaeIGW0rgi03aT/6tfvPpNbGN9+f4//6PlL/Cfv/y2dlTgnpXmeCHFixNHkXIJVzi8FVBm8S+AYlPDCyBpqivDuDLEoUdALXbQ2c3fSAXXuGCo8HNE9hHUDkh70+cQrxDIAbA52Dd6pdYx++uY9XvVnAAALYYg6S/A4DXhHN6hTBM8dQlUiD5UO0odObIRMgsZmGqo0w3FNU5eXCLOge7BO4x72p4B7QbwQkpFWlJ2+5/Be53qd0CPOsXW/3A45USOdqR1aJ69pZEGNPR91g8XJkrPNvJl3ajzZzWdeDbT4Wpon8kOjBb2MdF7Wrk4KCIURis6fSEggSzx9w4bKqHkl03DCpjRpAJ1PjDhV9aEe6Nt70lxAlxnICbzvwDlgvstY9gHL3lhlBxv6z0A5KMtzuOhMhiYd2vnv3kddk5khh916j1eHBYM/dvi/PP59/NnxM/zLD29wfNxh+C4in2DXuukIXpE/0BqY2ytO6gTKYHOU2Q65Hlju7VotMIqdsvjxOSE+J4XLJUUL5JN2LBrhicFF1m41dG2TgDrGYZixywve7I7YpwUspBXRanCVTZK6/ZJIazJgyTQX7aYlI3GjHs0GJQCSjWAkaVdDDDqqnQig3KzJH7FW/LXrRTZ7b7bY8jQNOj2Z9nurRuykdrjed4PXyboH4qykc8Flu8rWzqglJmGqavOL/okEhbxb5R2ABuo2hw2DWCu0x4pBZH6hFSo2gZaR96jMVm3zrFuSI7c7qhXe5drq4NZsjO6DVf6TQDI2ASUaVJmYIOdoFXQBDYOST5WCLYkfjRMu3/8A/9Hjv4v//Ps/xLtv7hCeEvoHnSVOZuOaQAeEqSC+f1aX8PpWyZV8TrexggbMN5qklIMSXbh9cBQlfourfwcr/FDJbKQlbunCq59o96eEU7VTqSQllAPqq4LYV3z++hGvdmdcSsZ5UUjYssuoBNRe18Nn4Z00zBM0YUL3zMgn4LcRAgmtflfRGITl1vaAIRbCrOQ6VNBk50JZERBx0T0UoRVtUNRzpAsa6Jru6zZxXgtFyuEA0jlEJTUU41KQqzEV5UBgxIt2Nj2B1L1i2q9zgcQIbGR7wIJYPymg1QVpLlrgZmUYL3udtaYq2H2UllR/+hJSe8Btv3aLCwPtmRJ8HrjuM7gLGF8mTC/Up8/3GvwvNxogpmdlYN2+wuhOq4KGAagVUq83lqSA43HA//X0x/jPPv4R/utf/B6WMSkUz23LUFFeDKs5IAQl5YoLg3MwdNY1KZj7L5AVF28KKDP2h0nn3DjgMnXgJSJaoTmdqAWbfoaUnpBGQfegkmXnNx2ml6Ts0YeC1CtZDgvhp4f3+LJ/wIvugr/MrzGWjMfLgHHOmKhbY6BkJE97tcF8BEi4jTk4ioaTdXmjIckWnbWeXmrcoqR/hOWuAlk7Tem4EgY1mGJROa75PiJegOGjPgcfWVhhvXr2XaFv7L0kiyL3loD0IWnMZnvB0UTedaWgJFjbEYFQrKtv9qv7XtEMioLQ1nW86KxuHQJCv0LUJQDLTkfB4iygRz3XCq1nELAG8XEW5Kei/s/suvGGGPeC8scoRFMh3QShiLqDzbWLJrl7fc5ii1IvEfExQSLwDCBEwY0BcfJzQf9hQplXOaHDzzL+5Ief474bsXDEWBPeXW5Q5wgEgdxUIApkDjojSdC/txsi1EHALxeMOy1cAgA9ZXw/vcSLL57w93/0K/yzX/4I+ec3kAiMP6rINzOW2EPnRYDjk0Jds13scs76mUkQhqKSOL2SuoavB/zq4TPgbsHt/QVLiRhPHSgIpkNCIMEfHr7HH+2+wb84/Qj/8fMfo5SIdLtAbopCsJeA2FUl1Bx7pPcJ+UiY3jD4roCSzp+WJSJaoWm8dHh3ucFYEs5zBnNAiAxmws9+/QZ/WT7TzHlfQV1tjP1hKOAYUZOhOrIWV6US0lmRnN03CX+WldFadhoD1fsC6hipL8rOPCdMdp/DYUaMgsVkD/m24HLQJJ1PHc7cIz2q73MyUUCTU4XvG0+DFTHSiRB/uQdn4PIDRt0zaNFnKwHalFzDKEgSRT/tFnS5YF4SPh60O9896t4OI2G8dOA5wkAiCjGPbjsqFfT+387aoX8pbaaWJ0VuUdGm3eUPZkUS2vhGvlOW7iIRf/HuNcZLh3gKWkQIwO4wQeKKQPvrXr97klsFeM74r57/AD9/fAU5Kt1zmGmFmy0rcUNYGGG0DNyCHVToxudt9chgAR2w3Gg25w6xHUQSlCVsUmOCoEFtPIjVi7T/bKra26oUouDHh4/4Yf+I98sBEyfs4oKlC23u4BIyas4QI3DqnqUFKkrIpH/OFFUugddKskMtPRgKBQhG0lENTsu9gPcVgIrRcweUex0Cq8ekbJ8ubzEBVIMm0jNat4CTBmzVYNEOeVEWUKugmD5v96TX3zoOm7k0J8VJZ1Z5IKBZ/7a7dlWZNNInCmjBeDD4pRAh9OIKLooQLtKqybWjFrx5YhNHh3AqVNRJrYIFX3QaQcczMPTAvoPEoAnugRrMvXYOSWfEN5NS5X/cAY9KFACDDaZn19VjlQ8qVUlRti8WxGPAnzx9ga+Odzg+7YDnjPyssLxoibkWA647HmKB2/peaMQtzS7sizuB7CsosZIVAAixghIwX5LB83wG2wLUaRtUWjHFScq8EBIElBh9KtjnGffdiNs0okjEVBP6WBQi49X/zWvbSQoGKW8w/VmDZ02sg1V2DR7n0jXmhGXjbWoEJLI9bzLNamrJobLPrkGQBxycTFZG1oR2W7m/QnEIGiTW7yNOYuL1lmQWQRwr4nlpc6Oa5Jb2PBurLLSjK5mgOrOyQvCDIVJsbfT6pOm2ekccQOvQaKBVtRj0CanV1u4UKQFsZxNXRm5b30FMt5E3JxXWZylQv7wQiBlIyqwslkC311KQniL++eOP8KuHe8THhHQMSEay5HDAVrhhQI5nQBh4dWMEStqhcEirJEtEB3123qXQ7rPYmMXqq72T4vNf/pxCMabWllBQ83s6BgKbRRLk/YzDbsaPbh/w5fCAr8d7fI8bzCXh1GkAwjnqZzuiAOtcO1WAYF1PY0QuOw9KV7vjTQfZmay5EytoKvS6um2zFVUXRyNQs0sqGmSwjzVsiOmuEBIbe3dEhBdeyYjStnvG94Qm16ykXTYjfUVms1TQuICygJG0i1vMJmvVjw7abSUAmEU7sVkLhNhH1KxJWX62AD+vxb3WWbO9zX0E2T8SfeJw7LN81nzZk8E4rWjZCfhWE8dau8ba67ORW8k7GAwa9TogkkTgS8KfnH+IP/3wFvzVDsk6W9s1Ds6oLpoYcxDEpbSkZSXAsiQyr/8vZhNxqEi54G4/IgfGw2XAPKteqCdyyXSgVVfcCuOGQkpnJQeT1KMcBLwTJIPg++vz/hF/2H+Dxfz54zJg4YAqhAkbH2h2U3tN4NNJR6Bop+ewFy3dz3Iig+oqdL8crBDKZo4Do7+ZMIUehZM9B7EkV+19vjNCsGdC/wTrxuh7u726n/A5RsDjM00aQmJwCUhnvR4njXReBUXa2YMzAsAt8iGOFVQFZa/kVj56xV3CstPiZD6qBjqQ1pho0bVY9vpMqABp1gWtw4bN3JPyFr9Y187mqRsizRE7mzMpLOovQWhIF5eMiX1VndmqZ2tlld+RCMxDQk3KaC9ESOOC+O4J2OhB778RvP844KvX9/hw2ePxOIBr1O5pEORBE6yL9MAY1Q/ndf+QxdTdfkHtK+akdpseI8Ixov+9gv/g5Z/i54+vMI036o92Bfe3F7y7ZPAY9NmcE6Rj7F9OyLHiydAM1FXEXLUTbay83QMBHyMuAtTbCaUETQ6Dyh0CwJf9R/z7w8/xXHdgg+YPO1V6GaeMEpUraC4J86wJbvcETK+A2NsYBts8suUBpShz81Qi5jmZG1IEIn3o0D0FbUC8mhGsi0tkHd0AcBDloYiiHViLN/KZ0T1G1F1GmwVOgnjQOd27w4jbfsK3T7dYHnt9BgeoxKOdi3FX0Q8zliU2mHk6E+LFbNxGA3ye2sdxfNSgexbcfFXNP0XM96R+tLO8a52I0veLQIiMm92EL28fMdaEr3PBZcyo80HJ9ApQ5ghsWMe5U/QBKkBMqEFw+Vza97DlWYqAJwWv3j7h1f6Crx7ucH7cYTcs+L3DRzwvA/7H+QfgU0K2YgQIGLoFgf8NJbnh6YTu/Wf4b959ie+/u0P/vSZkqjWmjmG5jQiTmNyMKGkQdPFD3TikpMQSjSXU2OwcgtYODmcE/OTQ3w45NwZEm2NVkpvQnCsIWJIemhIFf/b4Gb7vb/C6P2NnFQJmQiJGihUhJGBSPLlW2h3m61A2dVwO53FdX6/sCQGzH4hRK6plR5heaAeXdxXIDB5UBkCS6OAiawC71aqTqB3gbbS1nYPUuTWf0dPO2zqbq8/Fk20/iCFobIhCuArmJNGauC9rRVQCKWtq0o4WLZvEUCwpJ+3MK5s2IRnBQpwsIWQNnLbznK4z2zoBDD0cLEBCjsrcmhIkRTjrpR9q5UCY76xw0GtXlCthnhIoMfim2uB7UEZJT4ratQuwFIA3cIhS0T0S/vS7zzCdOuApIZ2CBiaLJ08VPqtM1f4UQZite+JJinc+urXS60GNRKhYNwDJ6ki5RtVuXAIcpu3zsvoc0KCkmvQC5CzkVm2mErSyGBhdrEik8M3KhIkTqgQLZNGCNFiy4fPg3qFuxSGSBrkVg8UHWICOdS8oG6cF/h1rENIgCNBnEXWuxGVbnBiHbRbQf77s0IKLlU0arXPiNuT3DVjgsaxdOn9dzVNGPYxbkYIcAmkQ5KB2QcxXIuSrzilAUfeDIx5IADa4usJ2/IL05+Okye1VxytAIcVuh+2DzHZyaHOAy15ncctOK6jcMWCSB+za4XNAPOsMVLpohTedq7IrAzZ/HtfPSRHDe8I//+WPwO967A1u1T8rTLMxHJv+IwDQYbde/qz+YYVYo3UUr6DHQQM5iWrnV/DcYGvGXiRdA99QBVjYZjXR7O5KskoA4dBIVi7cYWYl+ik1QKYImsPV+yrztVwjMLAmB1r804jZu/e1oxVmafdYB2mSGBIAJFEi5V5tmwqQz2Rno/I0hGJzv5uPZhup2c6eNyisw9LD+m/+/e0ebczgRcxniCIDhJQLowKxaLdWEQsVIoJQqv5cMQTBrjdNXGlJYNOFZh9P8dlm1gCfzPdbd7D5DZc5KbL+rr9XCJszJzQNeJfDqIPKiUgSxKEipqqB/hztnLcO4kkLZHH6pGi0YZ2lhZE+JPx/vv89fPx4gzQreiCODt+TdUTDbCPMGr9wF5smdDAEV3S46bC51kHU3wEKeVwSamSUEsGsXaxyo7acj1oEIVY4fahAelLG0nKTVzTWTKCJlKcBKi1XU8DCCYyARSIWCRhrxnnqsCwJSmIlNrtqmtM+u9ph7TYuDgckS67X4lPtvXiKq0Cdkt5f6Cv4DkAlsJHKKHKPlHQL+lmXN+pnfWwI7GQyaGSR6LBCmEUDd56jFgUsSW8INdFOuBc9nQjPfULjMSGsCBAr0nFWm+5O3Pyzw9GvClCiiUqcaSXNA5pM0fZs8ULs/KJDG++qgiBBEQspqFsPhNpHQzUpqsJHTmqvig/IWqFelohoI3VL5nbWgQGUoPdoRVLJCbJhEa89QGPErx7uIUIIQZSVdtZntJSAJagMTLgEm/VetIgZI4SUHbzwXv2Lna+SBaUDiASPdY8XwwV/9kd6tu/3M1KsyPsZi6hNoBDgs6cAaCbtoC4JtPQw3iIjMkIbVzk9DtqdPxTEyMiBMdeI/9fHP8Q/e/p9vJ8O6LOeZafHHWTSc48qYR4qnkkwjxk7i4/iTFjOCUiM2GszoeyMA+QS8f7dLSiyMhsHlVlMqaK8nTDdR4S8FpeWWeHLXEmlCgvpvSZGPyxYguD8RcJyiBjfCuq9ds1Dp5rW+/2ELlUMqSARo0sF512BLAHjVwft7mdRvpggKCmizAnxUdnPvYAfZwBHa2wlt3VDvQ2i9rQLSJe42nQBgiiSEQDKQeOVMOl+TE8B5XLAu5sdHu93YCHUcwJKQErA/FJ9nOduZe/oOAKdTfrpoLredA6av/UM6hm8h8LNxfZ/V7HLBYc04zDM6h+F8F9+9/uoHBATg28X8LMmg+lI+PiLl6jTgL/J63dOcvn799h/9VN881ev0X8XcfNLWQNJ0Q0/3UX0TxX5qAGQswUSC2heyXhqF1B2OlNZelqr7MBV0IDbBSGxLvocrpLc/Gxal1UDhTipTILDLVuSC3VWy4sKJMEvv3uFb7o7/L0f/hpvO4XfFY5IQbVEzwTECyE/60OtA7VupB/g7eXVQ/teMGKe+TatkBwyyYO3ix7YFuFwtPUh6AHChLLXoCldtHKjh/5KWCTRurVGjtA9C6oxLLc1tGCh3IjScX9Y15UTIVpC5t2f7ZwRR0IdIsKicB4S0S5IJCUlsYp3Kp9AwmJYIeaz6r3GSTtNtOjcrssAeSVXf9YCDA+iReGPbieSoM6xy0rM4x0jC/SWG2D6fFkLISRgE62OfUXeLxiPHeTSQVhnJq/nDVkJecpaKZJSsftO8PDzG+QZjewiXRTCmS4V8bRmP3rAVevaitp9n1sHbLoLreABWOd+b7O4hXQGdKeHSp0iMBmxAXuxAY24SazTrdduENgUEG5tnxU9VLgExMDoQkEOFRGMwrElAM4Q3ALmihUy6sQ8Hkg041DnqFpnptHbEhmDcmao7lzH6G5mnYVZkomNEzhoB2CpmrxRQevOOETfX3VQm9cgXu207KBFIUZbHyoaQ3nQny7qC9b974nL5n4LK2QYaF0rCXqQKwsxQMIg8VaDJ3L6fKVLQNaKERULlJpNaRGksdMyEC8LaHZinM1XwFUirWupCS6nVTt8udEiWR0AvlHo083dBX2qGBetYM9PPaKNjnSPGrzn5wUyz0BKoJRAV5ITEYevGDXv0T0DwweF4fcfy5oEGrOyQpIBvtubLQBhKk0Sru0DDzpbmdj8ea8FRiRua/LpfKXCldeCV5hVY5Vz1DkgWhPQKxZ5ITCrHumxdJhtnmqpETQGxEtoBRyh1aa2bO6tYAIA1RALWO2/dqnZu+/FOihZTusIZgG6Ci4BPESdFw3BSOPcd2JlrNwgEojRpM6ANYlvQT5DoY60YRIXNEWDMOuIiRckFBIvcNZ2YgFNFVQraJyBpaiEkRdXiIAUwftOYeiFERYLph2IwgJauPn1dKlIx1nPhjzouO3FIP927oGt8MfQolEVICU7965RCi4XVHbGtnooCJmxP4zIseJhiYp2PgfEMyEaEZAiTBw6IVcJrtpRxe47wjc/e414iq1D2L9XdFR31IKOGDkgVSAaAm1+0aH2WtiNs3fl1WAUtQLUvYBvNLYAtHA1LQlLFZRFGWYpMfCCUc4J9WOyM0gTkfQkGD4USCDMtyshUhyB1BHmQWcVlyFi4YBJEmaJWCRi5qTw/FHZbWFJaToFWxs0huEyqN3li3ZwvbBCDPTP2sEeXyiKgW0MSrLfGzfd335YEA8TSomYLlmLyrdagQmniGiB7/ng/hBXcWLjGwkrwsOLNlJImXuLJczZ/jTkV0Myyeo3SDTB1XhlTeR9H2mzRJFD/cfFikDq/wM0PuEuKvGhAN2T2tLlTVIyS/E5RrmaQSfWjnjZaeGlf2JTJmBou0/PKe4C5rvUziOOSsLlqJz8YlS46pw0sdktGLoFU9c1MrAraKrpTiMnIOR2r2XQxsz5+wNoqBhuVBYxnkMrCpH5XUD7HJKtMBP1fboHwu5bTcLne5NMu2FI1kL5d/Mtfnx4QPfvKLv3VBMqB7y4vWDZzXg+DeD3PcIY0H/UIrYrPwwfBDdfV0y3EQ9/xxInt4kCxPcZ9YZx/8UT9v2MPhbMnPA/fPs5pu/2wM2CH33+UYnc3t2i+xiaf6y7gAkA5mAINI3h63ME7wlht4ASUG4KaiHEY0R4n1BuGPV+QcxAlwq6VPHF7TN2acHDtMPH8w7zkjAeM65UV5zxm4C7/QjeEd79JGAaI+Kh4LCb0ecFr/YXBAiys9Xaa98tmG4mnB93uP3LiHwSnL4MmF8wmAQ1R8gY0b8PSCPgQsdxBNJJUPY6DqQJrhao5tcVuzdnXN7vkM65NUbiRhmjHETzIEAhwQtheE/oH4DlJmF8FREJinQhHRUZ76oVWqy5dFtQKyH/MqN7BC5fAHKzgKcIOgUICOFQsD9MOPQzDt2M09zh4/MeMTJeDBfcdRfM+4guVrx/PuDbv3gDSYK7z59xf7jgu/e92uMjYfdtRJ3+Zunr7w5X7nsN9p8i0omQRm6BN8zRUFX4KXkSRJ+8B6t3CiXAtS9DhMFaoYFBBJB1VsAHkqtXIjw4sC+hTSfVDmMJq7aeV9/CQkrLzYJKEcLA0zzgodvjw7zHx3Gvh4VRoaewwsOcKEIDsjXJiItARk9CNh1Josa06ZqlHAVwAopkci5RwEb0QcGYLJOYZpph2APa7B1nc/YGd3GGZYfggbU61uB8pOtRdnqgNPixHw7ty4K9AMAJXaAJILGAYmjJlXZr1kykkWKxWI65yVKEgGrX2Cel2LdqKTkVvx9+5B1aC3oa2Zb/W2jJSLMrC/RWnJIGdbHTrqjAxM8Xh6noIRFmDQpRtRBDIYDiJtMXRr4I8nPYyEIZxGzxQsc2G1u7Hn4vSlAkV2vdnpMd0IA6J5CSgFSERqym+nhrguedhlblX3jtmBU21l7o3N+kFfaHy4DKASkwblPEqSrhyliSEkMU0w/dVKa3Ope/Ien0yYusc/np7KI/m5Qq+uRwIQIooBYlpuNEQKePVCK1Ti1t1sYJq8SJTwJa56zJlTQiOy+OkXICeBLQJFS2a06AQZX1H9YCC9gSVvNJVzOs7fMsqauMptdNBrHdkO+4beg9/ZaF9H8LdvHRoKVNs3QDjTTiF/GAL6zvV2vQ5+ndTfN5GuCaYbIn75sOl4hBrGwGdzT73lyq1kLWxB+ewMLnH7CSBxF+08d80nVtgYLnVpuf+VfamkjjC6iWADi7LiegLAFLjDjOPbpQ8TQNeJ46TGPWbtgGBaHPbf18l5xpKA+Rdn6si2C+r9L6LHwvA+p3CEBihCRgsEK5reqtXVD93K3Wuq+v+w7vcG3X3u2afP5eNp/rb2V2f+WX41q9dI4FvxfJCap7zKu9A5AUAdbklkwPWRdnfQ4AECqDa7jygeTJsJERbu/Bv+8ya/Lb9oKvSUtgqDm7lRhSzz4vbsELI+PGzn8Lu7JELTTkp2gMwWg2sV3LNr5jHVwACvmLACqtI0lpTQ7JCnTNnuwsT1FRYRMlSDX9zkrGzo+G0qrO3+HEm5s971DhMAWFygtQOeCb6Q49fY7v51uMJWOpEbWGJrXTkGC2nsHja9n8SesSSwTQuQ2gIa22LzJ/3nVK7hNIgARUkzVjQw950Ut9tvlVS+gbtB56xjR/7vtn+5lkKCHjNkD1/UAIjmDizT1silSSXNPZzobgPkPU7osgaItVO/VWCI3TWtjymffokPR0fZY38k47nxxFGBZuSD8z3tWvyEqa52M9PDCGXJEiIwQtIuRUNQwj47cBIZjWdzCyQ8nKRr6VEHIeGJg8zOVpAOaAbiIbe5KGjpQI1WK16yw7/Z/8SJpU0ebsNbKlygFPZYdT6TCVBAapHRhiLAbG6dLpMZQF00s7Pyx+nu8JR4mKvntZgJ41NiubMyExUmQQgOPSKUuyANJXxCS4LBmlBtQbxgw0W2frgiJq4UQRBG5X6khFtIBCi+vRsjL8Q33MXLQ4egls3CWKoGAmlf4C0N1N6PsF46XDMiZ0uwUvhgtECI/9DovFC/OUIAIckza1etEOLkPn6p3wlhJjeqVJK0dBGG1eOwpoCis8PwFscQ8Vm6lndWAa36hvmaesSD4LU1TpZBM/BF1jAOCBDNilcbEXwxx55UiKtoZGDEdBfb0kaYzkfE6gJaza3A8djmPEfJtAd4K5xDbX7K9q6Ku6kbGqrLJrYvwdwErh8Dd5/c5JLl7eY3hk3PxVRP/IGN5XIKgcCAAMHwriuSDMRaU4UkDdZQvixILONdDK2Qf8TfexDwoNG7QL6Z0vAMBCWpGq0G4RFFYjpJT13WMByJxuFzDdq7PNJ0Z/YhWQPwRlQewCuE/4xeElLiXj28dbXB6sHR70s6gXzPeE4QO0QsdKEELRu1xKEtG7Y3UnawFvd2SEQpheBsx3amA06kGA2wWpK6hVEIIfzqKwu4FRreNaO3UW9WAnVlX257JHC7gQNRlOz4Q4E6Y3FXQ/g88JyUgLxrdinW+f5/LOMwxW7ocOGWmWyW5MWjGUQBrnNMgZWoIhUQ+2dJwRzjMkhBWiDj2U5tcDljszP0s88rGAij2LRJrYD9mgSxacWSdJkrFz+gHqgX/UAzSeArgXoC8IXcWr+xP2ecGv371A/dhrJ/Zi1fsHQT4L8nEBTbYj+64Fu3qNgv23Czh1cHKOUHRuOVRBPC8K1/4twZpsq8iLQlTTmFQiwEmUxKBdpmMLAnhSTBZNqqumBZ8VTheNYIOTFpfSpa7PIBD6p4o4a+VHD+iED+EFPvQVT697ZTCsEVUIT+cBfMwqlm5djTi7FJLKHWwT+S3zOUdqNQUPlrazoC2ojYw+F9wNI6aSMKWKuUQ9QOw6eGrR8wqLFmqOfYUXG2SOYNkIgMsGfm7X4LA4zgBXK0xMbLN2ArDauHTRZqOk2TQYRr7DKk/Vub1acF7YoGehJXIuu9ISBSKAo3UTtFvu82EK9bGCjRP7OKIiBIWL9RHcJZtxVgF211FUVmWdgaHI+lEcUKpgGjP4mEG2niRKfKQdqmIJboGUApHNbEut6B+rkpqdBf3DKhOkcFsrAjkkv7DuGWcdJgJ2HQIpysMLDh4MBtPn9A4oWaCvFwm4BnOcoIgTbGzJLSNogtk9zoYA6sCZkE5W1JkIx9uEZQn4PgqOU4fjucdyyaBzQv8cQKZ1WjvzgZPDGtWu41SB1v1kcJ8g0XyRFf1C1T2y7LWrXvYW/JGAdhUxMUJkxMgKKQUgbDBzBsJzQn7SzV+sex0nanOGAVYQ3flMtq2FJytkPoGowU/XUQNFxjDZmgcoaUwKOgc+2QhFCpC0ylRRYYVV+tKLIDyPza+o/nGEDLYXqnapwlSRzCZaJ78lAJaUGJGbFk51z4QqQKmgEkDZ5j1dYsY60grHJIQsqJV0npoJpZqm7WSMyEWLj/2jIJ+qdl7tmilFEK/BAw8Ru3eMOFnnw+xRkhHAmhsKEyOdxCCoqZ2FHFUKTOflA6Z7gjOVhgVKILQPkKDPP+eKz26PyKHidOkhYwTNpCMvIyE/a0dweqHM0cSEfAq2V9azn3s9J/oPOqpQXwUsJeKfffdj/LfhS6TASIHxeBlQTzo/Gc8BLgknBIPkfoI+E+12tu55BKY9XdldGxcjAFXP+dv9hLeHIy5FJfV6AId+Bgvh+TxgWTRgrWJ7o7vuqLfuF0ONNQpkpzBSsgCaZ0UykZAlwOvoBbHukXAGdu8rqAimF1G7rV6oCVAJs6hd1sZtEtVmnEwvPxPizJjvE+ZDQP/I2P/qCEVhJUgKGD4IumcdGZlvwtU51z1XkwUiOP9MOi7t9zkH7eraWFdY1MgKGQnpDVA+W5CGgheHC4ZU8Ho4oQsV78YDHsYdKChcmSrQfzA02ahdZ+4Cyi6ilNVhlh1QbirSzYL6vsfuq9iaNCBgemHoqNuKfD8hCIHtuvLnZ6RUMf7iFmlUSc+6t7GYjjUZWxJ+fb7H0zTg42mHEASf3R5xyDNCp+fyeerwlAbIoeKPf/I1XvQX/ItvvsD5YYc6VMA6nH/v7hGBGD/7+Bqnc2+QVkIyDegqhHcfb1HGhP39BT/5/e9xnHp8fDyASPDjn36Pm27Cz969xvh+B/QV/WEGDwHjDxQJx9nYiqMoBHeM2H0VERfg+Mcz3n7+iNPY4XLswYVweh5AJDimASGutluWCJoCJDP+g5/+Of7DF3+C//fz38a/+PhDvOzP+Lt3X2HihKe5x0faY3ruwacOSye47HuExNjvJyQrYrAo23tZIvrdgtf/3gMA4Os/+Qz7rwJqTyiHjDivdj/fo0Gtndk6zB6H6M90HwPKOCBP7dKRTuoDxteE5aDII+p0v4V9ATNBvtmhOzHKPtiYo0Hog+g+ZQCdIAxqy1IJCITlRtrs+vBVBi1APqu93vxSRwSff5rx3e9FUJQmaVRYRywepwGPxx3KnFqha7x0mOcIZMH0ilWCSAh104P6616/e5KbIsIsreofZ4ZE1SgDgDBVxMsCsElxsFewcFXZ8gDaK2bEYoc3Gptsm7eqAZW0euEVUA+mvdrodP+NFMRgok4Rr5TnTsTkETphGjOOXY9pzKBLhOPbW2XWgowrcgusnx+qzhtJpOtyg30vOLtpg1Xa9QlaVaN15oJ2AOA04rCmh7ENEgGyBEiFJhxJKy3IylIml6jEOJnR9QWTaa0KAKcFbx3abUDiASxw1YXRH6Qr8qkmIwFdF0TAmWbbs91W6kVWyZGwrpsGRNIqnl6h1S4g/UagawukCbQFRm0O0NfV5+UAxMDIUUXEaTbpBjv4PeHxBHqFjV7vojDVlcnYoJtxvtYN9jW5Wjtbt3XN9Pe18mbBYF2/WsZolUJsK/Fe+d52wvzlcPNNgqj3psmdBEv+K+G073Xe18hJ5imD5k1XwediW5AqLbnzNRbQJ/Zja3e1DzfXaP/oUi4xMFIEYkwAKmqKxjCrX2KddohWoXXfkiX2dthut1iw/e4zoY7saMG/rqvPKDrUen3A+swoAFdK4w799xnEdtN09btN0kp8/2iyHMwbN3vgdR2v3gMb24kbGwxknVxbF99a22KCfXT1z7LgUbtQKzN2mM1OjeBIy6/XgWeYWX35uOqpoiEu7HluunCtU2fw7k+lvdwOVh9j9stm5/ZMXU5gtT3fR5vn0G4W+pnuc6sgGEpEE2QCh9Cq52VKwBgRRkKwjs/KpIxV79WKHO26fV41KuKHAq2ukMVgcLTOCJqkhmodcvPpTfuQALIipkxRUTrWCfb55Q1y27oLlly4lISjl0yz00fcaWsPlpS0RGaDjmnGYn8XdZDrPW8MSipArDBOsZ+hENY12Ng7BVmRDf695qfE3qcCTJAuXCN8/Pl+QmzoZ7WTkKGSnv816I+6dOAWeWIySa3rDJgvX99bSGMUl8SgTn5jPzV7LQyKcYVRf3Jm6plhv+t2XsmYQ026I3KTPeFqe3PRMYIwb3xtW9j1WpoPZmodMC8Y1RIxR8Y4G7Q0F+y6BcVQHFTpCnn26de6HtePoiW1myOwndPrw2+oOvfnfukC7fJqxyi2xIIMUaWP14rThdQHVIu1MiOY5JcW+klnLbfr4jHY5rwgk6y6OnO290drDOgEXCKa7EI2RHlOqkdoaBVnRaZiezlq8aWxngssgWWVUKtWEHS0S4sJgCaX5ddpPp2j7aHAqBxQOaALFYc04QPtUXltp2tRHI2Ne8uTslVy8FG1EBlV0Lrd23MEhiBMuaKUgGrFoJQq+lxwiavqQvsd0ZuZS8TTNOA8Z8xTRoiMqSQkYsSgz9BCElAQvBlOeNMf8fPdK0xjh91+wpubE3ZpwUtTN0mmZx7s2kIw5CYH1BKAOYBtbZSzRJGfu7TgRXdBzgWjrWVbh84kLd2GgBVJ4f4lCg7djHFJ+j3ov+noSwCLdqkpyFXs9SJf8GX6iM/yM27zhNs8IVPFQhGRRPXZTTGAw7p2pejIH5GstRIhhMD44c0jEjG+6t5eIQXAK7KHszLMC0gRghtjb+dtXcndnG9FY/bNs7e4CnZmxW3M7/YZ3OjsvGabQ3ZUmyNsDHV6hcYy/+McRmExKcONb6kSMNeEuUTUEq06a/dZCGLdTcncZsV/a07wW15/4yR3miZM01oOeHp60v8pFflUMHSkQVFhoMDmgVSawLsa3KsjDmOBy26sA/6qcaozuSoX4HO23ZNgEcWbExNk6hq+Pk662ZVwSn6DTMQTT1kYaQx28OuhlM+M/dcB3KGxN15uerwvAXJMSGeFtDpTdD5qYtwdpcFUfd4pLgrl4i6i7sMa8Pnn01opTRdlvSt7wvlzoAZAqhk9E2oNiJHRdetgHlfPzoFI0qjNCyVI2ViLvzJjeWtJQNDheywBEjTR7h+oMTn63FyD3W4OChKdJUwXxeBPn+n8XZh1phZxrdoHYpvpMYmTXb4OqqogTFrZ7B5nFWVPSsAAgwRKJoMu24FSW8arn1tWwhveZXAXseyTbSxBnEllEVhlVeZ9QCXBh6cDHsIe/NChe1YB+e5Jg1sd4LdZ6F0GzxNoWVDKtvyVEKeK/FyNgKfqPVv3lpaqQVupgDHWkjN7Oqw4BSBGUGWbU9POXDBISJjJZiXSCgfE6iSapiKvh01cbF62iMIhW9Clh2xEQL4I+NnmtmetzI2XPT7sB4WTLEAohOFkxDhPNst+EaRRYc/ehcS2EADdc9GSSg/qyFAcxIooCDMQzopYOPZDc+TRmQtJEAIQ9wXSEyianikH1FkPdiFZ418SSA3K6kcAGZlVRYJEhXCJVbupEozHSJ9BULihB8w6a6mM3Qp/J40XcgRYwMEyCetOEQDXwm1kPAB8vrB1831GeqkI1tH0DmQriCR9/lS4dUi9689DtveHVf4jvNgTKiCLIF2UhIF7Qola+Rwv6tJ97jReCP0H7Tqli5GqmC1WLkBllA1cGQDyw6gQO9O7ht8zoOtA2ARtpAlAjAp5jaSFJ9JigxJREeJkzzGIEfkoxwAsqdWAQe8vnQjpIhsoL4FOK3RQcrAOovqK7qEgHZU3QOflAg6/cr8+oGYgV4CKEgsNH6R1S4mB3buC/t0IyRF10AO09vr842UBXWYEIsQxApHaGEMoZIkoYTZ233RSkpwKKAlZZFDUQMIhtsEC2WVfsECfGw2aENTnpMFQZ8Q+Qmug4V3iWeemPAkOM9ksmIAX0nxObL948L0tGASFNsLO3DU5U64F5IgwF4TjrGd3TpCOVrs2FMPqoKj9m0RjHyeFgBI2UOUqSujnyB4icJeATv2do4E8KA5FSZjyRVCfNCkERXAXMTGw9BXxIaH/sMrvNI4Mvx9ewFKBCJRNVhenaoEhaSfvpOdPdTjcpDDTYOM5YaroHtEksSQB8cLauaOE7kn9ajFlgzgB3Yeg5C/PO4yd4GfnDjEx6vse+SmYjigaJBAA+g+C/gPQnQT5ua5HHxG6I6utHQKWW42Fxl/tMHaDsqpHwRgFz4k1JqgaxKeT2r3rXDaOhc0eZhtz8mKzy3YBWAnWxNi+d0B9oYno43GH46XH0C3YdwsKB5znDAJwvxvR3xZ8E29xrjukXcEXrx8RSPA09lhqRAoKyT2PPcanHgiC3UEJeVi0oHThAO9DhIW0O3TU+2HTleVImO9iIwLNZyMcJd3j3bNKEeLOpK42ib4TXTpRW34qJrUoWF7v1Web31xuE5YbnbdNJ/NHBoEmsTOedE2RA0rur3zrcptRByPqtLEt1zqPE6F8yCgp4duHAegYT2963A0Tvn8+4HLsIeeEfPb4RRFo/ccF4bsHSB8QDx1kE7cockY7ZvOOMb3UpkDZiSJWDNEmIeKCnZ5js/q383TAOQjSObTucfeg5yB3ERIFl2PCud9rsjgTKgG/fuxVGihXhCgop4x4UvLMf/7Nl9j3M0oNOBxGzEvCL755hZgY398qKdW7r+4RnyJ40K5+7QPGXs81KQplHt/v8GcPg+qg7xYQCf7im7f4l/wW/KyfB4pYQgfpBN3bC/p+wek4gC86t6d/ApcfWsIQBN8+3mI89giPGTwwXvzwEbtuweN5h2WJSElh5EtkXBb17//txy9xKj0elh0YhK/Pd/jZ02ssHHCZs6pkVE1y633FH//4W4gQfvHhJS6XDj9++xF/ePcOvzy9wF+9f6UyYzZ+SPczzl8MgEkvSmKMO43F6ZiaTBBEu9RKICXAk46o1Z2S2zkc2zVzvejVPRoZr/mv5dUCSoJMhopNdo4vBHpKLRYnAegYQCXpeNALJdXS/SBY7gRzp5Kd+C6ABLh8rr6kfj7hs7dPmEvE6dJjWSLen/Z4Tj2Op0G5loKdiZWAx6z25V14Nl6BlUT8r339jZPcf/JP/gn+8T/+x7/x78Ra7Y8X1gDKulrBdVWLVbIS6cHGDExs52pcO4oBdujSb2hhptFY4qxjm1wbzZlfbfDazzD/U6IetFr1N31Hr6SQwzEZpbcOLxPiKaCEpMQkizrVdDZYy2l1/mQd2zTWxqZLIsq6mDbzo7IW0R3uo4fMpsohUIgAU6NDl6BMuDEIpCfUarAn60ZW0WS4FitHklWTmQw6IMi7BTEK5jEp5McOUhLT+h2ldSDazIhXai1IANAgttwnLC+0u52fBLF6VZvgEj/buUFlL4yW7OgzhyWC4TyDlgoeUlur7SHrHeI24+j25nNhLqWSg80re9Llh7PNeDIgNWAZjRL+ops/TkC8KEmZH24SA/7i4z/FX37zn/2mnROBloo0VoSpIlxsMMSQCWuyY6ykIbTuewsOQ1B7N8IjEjY4MWkjxZJHn/liJ98w3cGwqcbrRen9eqHFq89bCQadzQ3aMVg0qdegIKBOqx4pueOosDnMzbwxWyUPaxV5NWox6JNoBVt8Pp1aZ8oLRUxKOT+mjJQqBhP51vXVyjESEKPO4JQaMCnvIkJUWIs2NxnzlFFqBkjZCgMJlhxWlkMxs9lW/PxxBFJ0hG1R1+vkDuDoyaTuIe94ilXf9Xd8I9nPeZKoA3KrLZi9hsA2D2kJi/uKaHPlvAacerM6h8tdbOzLsk0qWRCqz/hbBbbQ2vlmas87jhrwKYxXSVAA4C/O/w3+4um//A07BxHoMiMaqZQOSEtL3nnoQCmszx8weKklTpuxBC3wMUCh+d4tS7zP6oSZrgo3zsyvdmckMy2JIggFnRsqupfieUEEQNzpDCkY/UNoCaDP8UBsPU6yojFY9SXjcQL3qsuKYIR6VnCgUhVq62zFbGtT9Xn4+4SqQaPObxpDeqQ1OfVOrnUnYseoUhFyRTcUiADTEsAxQHYVaSjgSmDzXZS1wyGiz5hphTFrx1BtoXV123Mw/0MAwaDxzmS8Qdwo+sE6QSWAFh3eki7bWeptWWA7t9uSXEtKlKl8PRO3aAmqrO/AWFE/KawoGt58T1aUTfPpmcALUA9REXOjwe/8eZqP9GT8Lz7+V/iLx3/6m2ZeuZ29Oo6x2pZ+3wqs9sxVS1gLVnUHcCUde1h0JCSNylRfBn0eVIBUAZlXyZs5ZJQsyCcdCVGY4eqvAdurJsvWiOps7+cn/TN81tt8sMqtcFa4PHdiPiuuDX3Wz0gXi5Muso5qAGYTKyO+7xONu/QMXvaWrJsygxJQCSgAy5Tgb3VjMOVlSSASHPKMl8MZT+OAS+rR9Qt+ePMI3Rn3GEvCLi845BnfBcF0ySAS9NaNXqqSa40+viVoxV69F6CKzQAGJSsN0eDHzllB5iMuCpEo+2jBvs1aW7LZOrUiCKOdp13AcpMABnJdQFWapFU+CTorunH2c0CuuqgKbbeC2MIGrSYsBy1K5YslyQGNgyKdzZdGjZ+ehx0KB1xOPeSk8pzRmHWTPc94WvCX3/4/f6s/970XgnbI604UAXKnlZUwdYiLMm7LGLTj6EVHh74ufv6rDQEELuabF4GcDTXgHeKLNlO4jyhZQFOw0aqA0+OAqc/Y7yfs+xmXMUOeOiyJ8ehNnMeE7lGhr8WYhZm9rQeg6vlGC6HeMvLdqL7zfUY8B5WaWaBF0KrErcOPFry5OWGeE6YxtgIQAoD7BSEqunS6ZMglIo3acHm5v+C+u2BcEkrR5lOfCwRA6BRN+eGyx5/KZ4ikowLnpcN3jzdgJnRdbeOHVAEkxh/dfYeJE/7q/UvwEnDbTfijwzeYOOJX8QUiKZSaQeiGgvHOZVAA9IwXr48gEnxc7oFLXP1rAKRnCAn4kkBFEW/Se/wRFBHH0LG3CgSftSY9J8tNaLFGdXUb8wdqF9TiqThqblQGoN6svCdi1xFvF9SYwY9arJ9fM2RfcPfijM8ORzyMOxzPPYSDkfJFJcozFGYYKhgBcQwIk8L5JWnXu0mH/Q1ef+Mk9x/9o3+Ef/gP/2H7+9PTE3784x8DIojHCR37DVpgsGykAZIyM9KkjgLTrIFbn9Hm2QIQpoJ8UsZKqpbwGqFDWET1syxWJAGCdXEbA6c/7E0wy9YUI4HO6G5esosogyZkoQAYBf17Qn5OG4ZXg3hUae12ZXQNiEEQJ+1wkeh8HlVBmNj0LAHv5OqiXJOXSAC6J0IdCbNkLLsI2hX0e61MOQSpFM2ONci3xFMIMTJ2+1nzxqJEE2xiyggE4QAJyuyJOSBMxqhXbLaXqDl4jto917kXuoIyxck68XkNVrkLjcyhscVaIk1FkBZGGBWq7gG7CEBdAqJVNgqv0EDBlTxRe3773DZhS7o3BRSKq2h7GmGHA5mGLJA/JriUkhCQTqE9V395EBUvC/7W4R/gD3769wARFJ7x//jF/1GvRUSD/23n7dOXJ7veuWCtlrreZAs8PGHJEbEP1pEKrYjTSDoMGudFB5Xm0kAuX5yynVfJJYMteXDps8v5VBGKoHaEZa/ohO4J4Mu6n7SzZu99lsYc7qyTceKWhAMWJPIaGJOgQY3jIsgXQWHrwJpN1QVYQqfdxo5x6bV7JTaTSVEsbywIqSqaobeZUNEOa4wKg6qpoua4WXoyOI4GXy7FI9HiXY/HGQ2a6l0SZQrXYknN4RrC3ApD1g1jmzW156vwzKCfuU1UHZK2gSi3nZ80zNNAWjsMbJVq/2wJ1KCf64yjWJFDRx7SRbuicSYQB3uOm70rRpBmHa4thO9v3f4D/HT/9yClovCM//TD/1m/Mc7AoEUkWiowTpZg2hwZEYSj6arqTKxrkVKt6x4QQSgRTElz5eIM8eqz6wST5EFLmN3O00Xtx6GgDuOUZHt90jnZqzOGTIPdyFgkaALoTJ4NqmUBHIkieZwckPsMREI8LYoG6LWYhxAg+0FHcMyX1UNWZIOIJc6C/pG14xUIbPNRdY6mG+jBrCYhBUBglRIJWWd3FdpJWPalzcSVMa3BGCwQDtACTc/AvJLPuB+uGdA5/jWwFus8Kpu7zh2qeCq1guwVG3YVcAqgW5WGEpsJp6kizMUS92jIFdazj5TrgVqhR1E37jMk6LV7scg2rRV8KiRHcIpt1EVM4sXl+PLZOl+RTCde0QPppLYVJ0VYhaIJTTT2/r919+/ip/f/CyCEK39OVX1adoKgqqSAnSeSVfdWWqDjVm7XRAhLbol8QzGZlFD3rN312mvQ6EcAMSE/6v00ZlMLCH28g2BdU1+nkJovAIB4qYYK005MZEFvyUY6GQv1XlD3WvRSlJsim+IoxqDMLRlpLs7htmyFClYf3j8soCKoXdeYf9k0VOOHrN3f24LYVyxzwrcPtzaGRgiRcVo6G0mpONyNuBkmdKEgkuCmU73UHFTOrosVqSsIQXDTz9ilBR/KHuOcNcGJorwrgyZp873xhBQlyGuNDYMjBwhqMORfAOb71JoMioogsGJo2xkbDeGTzjrP7eMlkgjzy66NFWhzZE383JZdU7n2EdURiUbeFW08CqRnOGD70fddFXSPhO5JJeHmlwIiQv1+wDH2TXInTkA6akHafQKI8Ldu/wF+8ubfB9/uUWTCf/7/+z/o+xYgv084jXcAqVwlVUL+TmPLOgimG25EUggCTlZxPCXQbOeq+dJ40f9fbpXtnPcVtKuQSXVzAaxa7X1FyAympIU6AcLHjBoznvYZx6Eo+64AqITlqNpRyQjY8jOhf1AJnodKVuQDZF81xBICOsayaGyJqPcnEaAMQ5FpXjLNCU/jgOmpR/yoXVq5KQiJkfsCImB87oFRbW35wYz+MOPt7ohdXMAcsMwJ85jxXNfNEzLjzf6En9x8wId5j6d5wC4t+OKlIl37WBBI8JdzwiQ7xL7iz54+Q5WgLOpdxaVk/OzyFk/zDl0qKBzwp99/BuaA8alX0ig7O1AJjx8P7fPrLUPOAamqTFi6mxEiYxZC2WujLr9PrQjRiPFY9zLv0IhUqQDpOZpGM3B5SyY5SuBeMH9WgMTI33bIj7qvloMlnjMBNRqqCODeIPuZMX5eNPaIev1LiXiee4zFmXCBzqDxgQTLPiIEZZ++TBmFOvWfz4Ac9VwePxPwuA3U/tWvv3GS2/c9+r7/zW+IIDxfQKcRchhQbnt1mFXJVSR3mhxVQRgXDZYuowXj2vFCikAIOk76pFIZxMm0IANqp5Wm+E4DpbrTBU7WoXByHGANlAB3AFYYnhnpadJuQJeaFEft9GecMCJdLAHxoEhW43CyhtoBxZyXO1qxeTCqglgFzDCZAU36/EDbas0BQPcgBmMMKHvC8hnjdj+qIRx3Wp33h5WrdacEgM62HHYjYmA8nHc4jx24hLYpBHZdiyW4E1mnQTvjnA3mPatTKYM53E8GdFIiO619ntgIwawCycbqFpdgxYgFYSoI5wU0TsC+hxzUqXJNBv9RAqsmfSOipFa8Epdwr0QKbchHVJEhEAFL1SAuMVw3NhmkaD4oqVOoQP+O2qHmyZx/6YP2JLcinCbgNIG6TrUheaXiBwtonBAMity+Umz7ANUkaNi6zx7Eme5km8WsQSWRMiN1OgNDhREyWWd5Yyt+KBMhjWLBnktXAWGymWDrNHnwDwCBBWLkOemkcE5OWTtOiwZLrjsbZkE+auKczy57YPu76rMBNDEXsgJDZVAITfrDX3G06zANZLYuczTyMu7I5Bns2ZIlJVlMlkIhzDkwhlxUy3fJCuMPWkllIZTM16OfNjOi3a31cPa5LbICQGOhNturOzucXW95+7J9G+YV6usoB1oMpWJzmsELGTZL2xjB22yhtGIRiNQfLhXoM+rektyyFsQAT17U1tb5REGAQXrtsIqjVd3dR1mQnc6CfFmTOd9rJAGBMiREbGdy5XIB7sWSGgadLgAzxLrVRARIBl0myOkC6jLk/sYCbwakwlmbyeDLbHtMIiGeNAHiTChnT2jslhkNKpnOplfMaGvHOSCOBfE8G2LIkqis54cXY2TLn2DLyZ2ig7azqvlYNKlNAbzPCHNFPE76jPYdXH+7HjrtqJ9GUJdRbrvm911Xc/ggqvEelCQEQoid6TqLFQMNmSFCqK6XmCtS4iYnITuA+4Dx2CknhJ9nASYZBGXCTABqMl9mtmI+QwtNVsizMQwhI9/JBDkTshWo/B4567OIEyOeNZEtt3reOwQzAhDv+KYAYRvbKBWUAgSKSgjelbVim1gRSefLr30F1QpULfL4HnC7d0QLsSCfxODKei/De7ULNrbXdBEM7xdFkJkGL5gREBGQoOzKq7OgotKCVNZCWWAfrxKUG5UJwqmAzpPa86QFN9oPKq20y+A+wRnJtTCoNjbeByyBEBhtvt/3qCJG9B5lnULSZ9RpossLWRKkHRUSoI/qW72QSFW7lhDb7wm4vA24RP2s/kH3XT5a4fGk8GpOZNqsq49rKDhzqHFk5PdnPZfedi3B5SwgJvTv9NoufUDYzyhjRjl3QFRNUwC4LAnAgD5W3NypBEsfKgIxXnQXFNE5RxbCLi8YhgUpqJzIPs14d95jmrLuZ4NC8k7Z6gUBdafyNv3DNmnUNeVNFl8GwvRSn0v3KE1KzgsqLXHPLismhpDRc5ezS/45KkbPER9Xcf/khG61j9r9TtQ0ruNkqLENakB/xvcB0B8Z3TPj8ipiudM8sfsmNE4alcTU8T0viLsdRQmgNKAOO4h3PaFxzu5bbV6MbwTT5wV0jth9rbPaD//zipsfHLEsEWVJSLng5e0ZlQO+r/dASXBGZSyKgnGZI74vuHl5xme3R3x/POCZFW7smrYpV+RUcZQBfNIEqH+vRfZysFGFpOc+FQJNaR3HioLhPeHwdcV0F/AUMspOIC8K0mFpHAfChFqMy8OKf9IKfUGLHKSats/QLvHwjjC+CUg/mJESo88LRBQCnR8ilh8s+PEPP+DFcMGXwwMqVHOdxwg6R+RTUCKm2wokxo8PH/Hv3PwC/93pSzxMOxzyhL+9e0IKFdm6KZUDfmXEVb/48FKfOQm6vuC8ZPzl82tMNaHPBfNlwOWrG+3aG0wZHVRzuxDCOw0M630B9gXMGbgo3PiNEax+nyrmKUN+vcPuW7qKJ724X3tB2QvS2YjcFi0s6AihoOwtJzoTuAfefPGIu2HEX737Et0TMN8By735i5ks77MEeg6QGhC6isMLnbV+ftxBxohlTm1cweec9/2Mmzzjzf6ELhQUiZhrxIe0x4egmsE6xgSMb4Dx92aVQfwbvH534imi9QADWqDtkAs47NQDEhH9WQ/60bCQ64sNWmfdXHfy2uUCZJbGZBitgtq6XQ1eZJfHaJ2uJsvggaNVLP3nALRqnydwDbbrn+0BmXfdIunbind018/xV2OMNCNo/yaW0LDOyYaFQGPEw9Neu7LPWQOcpMH7HLORmAAhqBu/LLpZzmOH+azYdSSteDmFP+o69+afG53oyDvWm24KbdfJk5Ckh+I2ud3eA2CHDCnMhmqA9BEkXWPuBCxJEqfrX98XYjOOzna7JX/wa7LKOefQyFlcr1fn0rX7FSoaM+s2gPDn7BC1K6iyJa1knUntxH1il+0m5Pr/iYwhtK7Q1cqt+/UbP8+iI5ai3dcQNHol1nZMnDXhcgin3sNWqsienf+/d7b9c1rSoAiD7dxdKCZb4MUS65DrXkKbd94mCOLzp3b9TmrQ/s4raYsnxs7OrcUEajqiMWoRRX1CMHsRUCBwMMRAVdINncuFsiDWgFoJCymFf7GDTQzGI4BJDwRgQ0QjGhe3Cr8S+VhH0Lv5HnQHDSYafN78gHaiRNd1Y4sR0GdpM4AS1qJHI47C9Wf4fN2n/+Ydoas28qdgASs0tUTN/EkQILWHZes86dor9HeFKIZP4NRaNVv3J/Jmjj4EoMv2zL34Ryv6wtmT/ft14+MB3QNjUfZx07Rr3dkaNutry1Ed9rv60Tiv8hvrNaivlSb5skmaRACDKrZanQXxwTqexGTf33TJ7Zk1Bm1b7zYnSqSM60kZUiO4nSkUBDDZhDhj9VMFWEm13GcKKpEdewEcBKUAxfYXs9p5k1VirOSEIZiQpX6Fka5GGZrUk9suQeHJMB+1WQ+O6ne5t4KiJwghgGNG05DeFAvEyf22qIUQgGR+PAY9+zc2sJIH6v2TFwVtX7U9YCztDaFj8+sqg6TPVQI1dm63iWQ2kKb18+Dz+5UhywIKAUBafTNghXQtbmoBgta5c/vssPB1N3o/aEGrS8ZKHdZzRcRIsNiuh9aCtsnR+GhLrQTK/syAVaZoE3/43sAmxqnrfa++2Z+nnhkeqG7Z6L077/HKqkZAbf81kkL3E4sSvHhc5+SF6aJ2mS56ffEUsKRO4e2m28pjBMeAYxgw5YoulVaYPKVO/bot3Ll0uJSM09wpGo0CPlz2OKUOSzVfKrQiGspKRupjDk0Wssq6LpsEvpFM+Z4QNG1aMZ+vcQxBRFB7QlhMRqj5JjPXav6pxXHr3tG9t0EGYoXwuwyfjzZs/V5wAEyAQcPRxjq8+cKfhiPb+0oBSDaONRUEXmFq8z3QmV8iJpPMBIo3A6Mot0uJqKN+ffPUN+OSXQWX2KTZlluyxFyAOeD4fo/T0wCZo2oZk/JYcGLUEjDHBJ6ikUj5Xlnt1+9FEYDU1oY7hcE2fWbWYh5PAUUSQq92VZmUt4M3PtNgytu567oEFErwGJgqMB17zEFwhup5h7Oh6WaVWhyLrSmMO6RTJuRC0O5lrzrR76cD/jz9AH95fIOvn+5wvxvx2ki0ZiRUIcTAOAxrUlZZ5YmYCcexx2VW2a9pSqiLFTd9DjdAocCmScuD+VcmyCUqN4TZxrgkfe8po84RlATznS28bNabVMqObyoqx3YGeiFLkT+i+9nGfT4+7fF87hGqFep6oO55PVcYpr9sH+dM+KJjbHJJCOeA0jHKPmKeE+opo5LgXbjBU1fQpYIhF12LJeFy6VTirSmJ2GctYSWj+9e8fuckV0KA9B2kV4cUZuv42NwWmWyAdu5s86Wou5ZZ4U4ml6Hvp0FTfhgtYd5BaCsUaDMDpLCPOEkLIBTCpx0thzpR0Wpzg3CSdpG411nR7km/l0w4vuySydegCYh7xXg5aOVNadu1Ys2dek6JFqDNjGDRqVdMpDPSGhakUWdHnGDJDSKO+rP9dxH8uEcuincHAfML0crZFHHOCciMPOhMxZl7jYU+KJlF3QvwWjM8PidINQmB2Y1YEEVnWuJknfBPuuD+9zXw0Upx7QjzrSel+vP5pHINZQiY7rRyFqeojr6PoBvbIQwgqLg0SKUTwlTAvVLf6yEer55dI95hJQqBANwF1BhAfQDVCM6hyQX4/GgaBcMHtIPAkzutEFowUMRmjtyOAckRlDMkq6SGbCQntvbX4JtEOgMoop2tadYAyYPuYhIW3ScEXEBLRMOi0MtowWDsI0KJrRsphNYlUOevQZ+zOsepNtmaFtR7wcnkb4iyVk0BpItBfizoTRe7LeuitecebT2LdVRS1s87lzXws/uhqYIigS0BDYvOtyQwSELTj+QI1Nnez4JlzsByIEgSLKQQzrqoLIZDlNmrtZVQ/Jzw2XNBS3TDKWoFHmgBnsJWDWrXqVwDKDS473YWtvZBuQDiavsOdaVCCEURKY7o0GKOB8PKBsm7TfffX+53nJTE4c7e8TWiNrDOuW+ThKtiggAiSgJWsx7iabIi4pPa+7IzSOrRpFcWaTDHMCn6AYtlBjGqHvSWTfj2AKRoKJwIuT+YbRkh3LS03yfvylmxkhYjGQzm7+ZFO8EG7eUhabDNDO4S4iGhzYRaB5CK7v866Frnp1nHGnwGnwi8M+ibjwxs18uIvYJpL3unst1fhaEM9Mwo+9ySAEkRdadIkzDVdSzBJKTKQSXl4ljaMwUASbmNoXTPVmB81iC6DCp/x2n9cy5KCKJdCAInwWjmUBa1c/hc+aIVbADgyfeX/rt39h2yGWesOtKWXIkXZdzkLClAH8A9Yb5ZiQN172vQrwSLKo8WZkdABE0GrUsLQP1K0D+bzNtSrmDkqt9JYElr4aYVjwgIBO6jPvMiSAuAYsVc3iRpDHRAO++FgO6pIh+188ydabc7wVup4OejJgC7AcIrkWM5ZAzHgnCeIH2C9CYPZUiVMFVFpFwW0FIg+wHzD25aTABgVVKwokUQ9ceOxgglmmyN7uMVCWbka4s06KoXjUuvsUdDkBQgn9TXh9meR/HMdPVTZViRG/2DoGYl6pRgLNJbiKztCQnAstOztn9ipFNFOhekj2dIjCgvBp39FetgNoJP470gfZDlodN78tn3kyLJlueEJQKnXUXeLXjuCyoH9LHgvr+gCxXvL3u8f7jRjm7R83486xutBITWlSvUZpnzUVnSQ0XrOPWPvr7UdG5BesY4oZgutv59OVjxyJBogKIFJCgBaivSivpZmYE0sUJgvfiVAy6vdM632wWkUUmp8nMB98EIVKnNWTduGCsyKXpCfft8Q1je6PkTR7UZ5YMRLJG0Q7kpfriWch0S0n4AakV4PCHUlZGn/OEZ/LHXUT8B8qMm0effK0BmxKGqzNMx6yzsA+HFv2RIBL75XzHufviMJ75FOgbUg2D8zGx7JqSHiP3XCfvvVI7T4a11t0EJiPYLJG6z2s3LvkesaE2wSoVyrwFDix9E1Cd9iBCKWN4Q4n7GMifQU1a/ZjBpWnRe10fzggjomFAt9q077dTHX3aNUJbMjjgD+SHiWO7wHAXf9/egKOgPM+7vz1eXXi3g+rP3b/Fn79/i+eMe4WPG08t9QyMclx6FA4ZY8JP7D0jE2MUFp9rhzz+8wWXq8PRxDzorNDxelJ+lDrLqRftaWgMrvdbnW77bIR8tTrEY6/njXouuR1XL4H3F/HbSQsNTsrhFgAjElxPevjjiu+/uwe+1sFFuWAm/jD9COstVCiH/j3s9P6MWT6aXei0xMfbDBOaAh6/vkB4tSZ8CmAlTYtQa0H8X0T0STsgY9xnzsUP/ddJmZs6YInDeCXhXlRD1og2f4XvdI8uBdC43AOkhNq6Kf93rd+/kAutDYGjH1oIL1Zc1wo5Pq/zBympbmRZeAxcnGAqtGwQLzgVOq+AyLhrdW3XNq/6FgUhNXmIrRt8IZAT6GS45YJ9LpIdIgLS5jFZ9Etg1+Uyf1sqb81nPwPZ7+llis3RopAhbEqGwqDMIFahG+x9H2KYFKHqVSsl1qnVrpRLE6MnjbMG8C0ixGqdXtXwNAazdanO03q1uXTr7Uz9ynRF1JsNgQUebgfXOLjRIkqRdik+lobzSKYkgNazdWjuwyf8OtEByi55uMNRWBl2f5xrISSuEtM61VczZbKUJt9dNIrF9WcfpN14+m+lB7ibZg7AWbyK14X2C2eSnMFhW41B78/2inYBgslAerIZFYZga0MQW9DlZRgvwbQHWOV7BCveEyhMYMzCMJGA7m9wu2JJgoU1uTnYffhufJu1X9iMK0YvUOqbOei6tQ2OJtgAha6IaZoCh4wrLbPNo9uG8WLW2rR+1WcW1Y/Gb/+8STX4PQrCZLbXl7ey5HxY+y98q5ZbLScBK3ODvHwEShW66TV9J0Aiu7dM7YdD9pNVZW2sjO7p6Jr/FBtcRCmkdG4UDa7VbfD5swzTrHZ2r5/XXvdyPu3+OnjBt7D/GqyR1e83esUW1m/FipyW5gQihbLCaQGMB9hn7xuTr0nMIQIRd09buvCAgK/JaxJ6ZJeGy8g80VIg9ExLANZ+9W0lk+9LRHURrt8+TvOA+wNbXzyDYM2k+iAwhQQgJpqdLEAmm4mSsxsBq5/blUjSAdRSCJrhhzdeaLTY/6UsTrhPcq5fdb22QYHsPIxPXRIAgJrNGVqRsJFFOvuUEVvTJe4Pa9xpSIdI1MRmAa+k3ty07L6145WeSd5cVjmpbyUY1IKTkltuXyNq93donsBaaXOLFrkXtCG20AQFa9PR9sCEWwuZsu+IDcb9b5YrZ3fdiKHpuROMTAdD8DWW6XktZbXb7GY5KaDq2wT8DTS7O/bef9U7k5uc+x/WznF24nSkRkBy0AE2b9TeGf7ftOMEQe4SmV24+D9CkAQuhJN3r5yWjcECOFTOpzmqtijgTS3IbGWFmSOSNfBzgjPnY+OBPXw1xt7n39nKf7hDcT/eG2SpHkyRzDpSrs88/Z4VHSzRYOQcArMkyUTtHfQ94Mn3VZd8+W0LzHY5CdA6R1pkUXMUsErCOTVW+iqljVCIi1SOHxoM2f0tRwIvyuNDsKgtqk5o0eYylrLYK8XZfq/cSZ0E+s/ovP5cWaNeZ9T24E1Rba7/uq24uwfz6ZonFoPrdxieR+qLABBTCskTwog0cEkCyIa7MbypyweC+m9jb/Slg7zfrOjsSkRyBAwAXZZGWvUkbYXUlPta3VOXDwaKcN1wU3lw2sPEuFtymyeS2GIl5dSWy2rOjz5pPDbr+fk8aL7tNekyFJkUH6556go8kONyMuIQe9WIFVH+sUWfhKa7dWN07drbpdlSJpg2qQIsBAsnayY6RmxTlNv7S6wVqUejyNhYLnkTb5YRCGvMGAIjrs6qbfR5gBcBP9sy/5vU/SZJLU2kSGA1SZ50jmopW+Odl7XQ5JC5FDaRy0u7BvCD96lkX+3YP6RLCWNE90sqgKwZl9pmisNkwlighAOlUdI6wBfrSAjd36MLNF6szt5eTUKAYROOg3+uOCguNEyNM3DoO7fVbFp1YkE7KkBoOCbULyCe9Hk6EYlWv/fcaPJUhaBBkTlGiYuL1UPn/8/YnzbIk2Zkg9h1VtcHd7/CGiMhIRGYipbpAsIRdZEsLhULhgr3gpv8pl/wDlOaOq+6iCJtFFIAiCgkgIzIi3nAnH8xMVQ8X3zlq5jciUaBkCV3kZuS7193cBh3O8A22YCZFOYY2QAR8D6X1BXXqueiOrmiKJjXuQc/8FlBhtzhOrNB2L4pQTWhKgdpFq/yyMlwGqjiSo8hzKoPg/J4wD4dVLbuA0qmp9FoQYCMyGK+x9AHZOZngtU5vOWbGjxnd84yy77B0CYjge8FOpgZ2YlE2wYrda/pM6rpY+ObvxYTsVcOK7qWsG40raQZhQeQyQcoqxS8xEJJsUHxEIhHk4hKxATKymsoAe5Mh5kyY4TgA0ebFbPyuE++LHkaUfQeZK/rzBRoDyp6ogu4lI1wWClWZoqMnGu18VNnxAq5hTQFArhTSiEIOmgf0YvPKClKl3+wysM1FvCti59kFCnoo4MJLUjbQUINgI/o5sgrXPxtSwrlKAy271GBnPs5rFOSbDnmfbPP2cbNR4A22OVm3y58tocjKgs95DcakksvmgVkZBEWNg64rvy2P5Cg7tHIT47BqHrkh+prjwXl3pgBdnCq8j1ujBYeu0mrPgnYdAlexlS6aiBuTSBXj8W9UXb1g552xeK6I53Xcqql4SgH6Nqb5LHhfxJrGG5QB0NbDbcKrz0eI9ITmwoZDWMeyTPPGBmaFMwIWxKmPxcLPjYPBWAvkYgmi8/5OpLrUgZSDOqxJRrzQkqt2kZ25pUJyBjpCq8JSEZ7OnG9dAkJAFSE/1wtRNv+riYm5DYjDZM1670pIzEUCyy6hAM1KCQrEU25jvBV2deW8+zNVAZJLzmKFtPbPth7ngDLaGAsBeadY3gQgrOPcrVJCWdVOw4Xj1bu1TZ1XyXFrMPXFx6yjPrTtTb5nOEtouZFmt+WIl5DR+J2SgcMPBXJU5F2CDJH33pBP2lM4MswU66kpoOz7NtbZSTOrtI4ChM5nb4U4u7fxTOSLi2H5vPGCXsgMwAjR94mpqGO0fdaejyUKGgPksKfwZUoswPvQT5YUdwm667Dc9pBKpe5tMajcDChfHBCngv7bJ/7ufofaR8RLRjgv5OamgaJkQwAG6ygrTOvAOJg3ASWtiYRrL4RFsfs4Qari5dc7xhTqEFNX7GXnHzY3QlbkXcD5XWjrYWfCmDx3aQkweaHWmSxMxmi1ZeeRGaPEI/eY6Zt74+WFZllUhjUIBzyxJZIrTtR1yJcVYqsJOH0N6J5WeXgMWLqED3OCBMV3uN9ORdQcEB6TrVvSqBhEHjCWAdAaBWqabOlonTiLnSBMjDhHvKC+ruPzLa/dEQvu3+n2k60BUXyNb0OG82wI0D1avFMj4N7WpefeEnJE3HPM591mDaq8X/0T793wVKAiKCP3vf5Z0b8wwWyCVaYU7XSsJhLkCAdDFOU3OziVK+cL8Pd2vZ9H3H0fsPtBsdwKpjeWnH1kHNI90saqdr5/Ah/+N5GevVnx9O0tEID5ywy5BAwfmMyWgWvg9EZQU0LZUYyK5+zrDten5YYcTw4cu1/G4ayDItws0CpY+ggUQfc5In4m73W5V6IE7jm308cO8aLoP0fo4wFd5vc5uqMq/x1c0fxd4T5sSf7wQbD/XnH+UnD8DQtctWeiPDwoxo/A828F6asT8hIRfughJWC5TcjDguNpwPLSQ4aC+/sTulRwv7ugDwW/q4Ip7xDGjKWSb/rN/gG7uGAIGWNY8HG+wT+c3mIyKPTQZcj9GeWGXc9SaLWEl46NAuu2l+cO8YWaD3kmUiJWG3OHCj04ZxBw2LYoMNxO+G9+8Xv8/vgGfzd9CVwi+k/kR1+6AS+7CVpotwf15xJQ7zLSPjNBDZHr+okIw7xXQqZ7LganlwHp9wPiJBg8njcVdA1AMVjxfFex3ALy9QW/eveA58OAD+MNlhygp0SkxktA/ykg31D8CzlAaod4IRKqDGty/Jrl+sde/2U6uZWQrsbPi8Gq/GAQUgoD/WXm7xMhqxRnCUAMTehEn54ZHO0JDaMKYqG1jgWA8cykuvaxcWvodC00Hg9Cf8rzsnKIfAAED7RgbCWBV++23V0BWAGLK/Qizpz4VLStQBAUeLD7KsPdVilMUCl0YQ3Q5kp4ZM80NZ2qHRcAgglBKRo82w+rVoG1ZNXPrXmozmj8iZoAdBsOZ4XBTw0OYfxIwqLWa3DBksb3CR6sGOxHbPMBF5LaWTXsCWuhQYBqPBRAONKc5wVAA+Fy3l1xSLQnDm5ZtF4jf982Llsst/eF/1Xr8Nkz3HaGYZeoxjtyOyL7vMPZoUrIXd3eeGljHCmtiYEjBIKs2WW2z3kCUAp0w2v0DoNUbdBPHXo4BFPOC+GZPUvSshRTlNWfdCTW69IVRbHteALshGU+68Y5DmD1tIIJlAX9axfYrslaRGJjY+uXK7jKj67u79p9gQWP2Z5RMiiZwU8LCPkLYOUv2bNWGErAbuWy8nXUxl+c1sUcAPTAMQ2sVUDvILsn6rbKv94mKpcT0iwtkeazQ0ss/Fx0tkfo1eW2qQjqhR+svakdG6Rx5fXLhssXIMEryLIG5/71mw5R4zYCTTW3KeF2q11VmK7VUykMZ//YHEO9ELNF1wAUc1jy2hnwe2BWQsgFmnMrVG6LTP4dbZ7A4PwOad5wxaSsiU4dVh5zWx+NZ86CQ7Akt64dNVUWijIDRSRcX4va//hYN74hi4TeWZf1rX7PHYbrtiDCcRnm0opIWw9reEc9cyDWLjT0Brn/gtCxUBRn82I1hVP4WC5i3FhqM3DcSuug+k+w4Fb3sHmyroEuKhLnTSLi4nd/5OWiO+QA+nzls9JOkPe2X0TfI4FqY9fF7ZzbG2ZY19SF6CxBaJxFWog5lDj4Pmv3OyzmVd1FlNCtNPEtB9XnuqLpEKgl0XEqcM/yK3RYSoTVh027k3euFRno6y6NHysGdQdAH/ZbS8yPZyBnhJHqyjJnyHmCRIEoaUMudtmcFcxmsHYBcwgNprxFp0kF4pGWeiHv2hrsSYzvf+4VHgrn4ZZW1W3s3jaXaPsxOYDU4NN1LatAd7ake6FgYR0S8iE2Wo+jW6pxiJsWicc2eYX0Qm2cT2hiTggAZiBMAVoUFYn8wsKCWB0L4liAYirxdnyOd8Y+eb9Nctfv9zHCeQUWjoIXJOUKut+aIP26jvst8qQ2bDjPV53VzauaSnnwFr09v/XYYt1Dv3ec58Xma1jsnlSu1QikzyEyaabFn7RFyRFojt6Iy8qV9z2N3x1Q+oCyC1jyGtbHc0A6skHDRFuAzAKjVGD8yMR6vhXMd5zz05cFGhXxGJCeIvJ9QTxklNwRRl1X5EEdgAW897U3tKJB2sPEJL2Y+NYWaeKFASi7zYhAtc6y5IjuSP7vfKiou4puz8pdeUoUUD2vaBanEzK5M9pgpiIwRk4IvQSEGpDOwPhQMN8nVPtbnoVaIR+B/lgBjTjsJxNyHdjM8e7sTPEprUC9I9f2tp+wTzP+0N9iStYhV0HVgJs44W13QoCiCxmfZY/j0mPKtNkKoWI/bIpvClzmDqcTYbwSFTEVFEmrHoGuhVONgHZKu7lKPnxbLwEMfcZvdp9xKR1+179HmZnQpzMgS8BSqExdDTLe7p1Q6BYAcseYUpOiQqCdovaVQl8K6BwwfhDEM7DcOT1DoHXtoiMwGa9dxe1+wtvhhC7QC3taEl5kpNL2S0CcyBnv9wtKCcgjVZhLr60w/f/XJFdKgUht4lNqvmCumsiKugBdZwF2aJYTPFsG7uxWRMj7t/w1ALksTeNCSoVkVyv2AIgBXFBQUKUqQrQ2SzAukMPM/Lvs4GHhpPeb1qBKxnVcbpNxcKWpDmsMtsjyQ9sg3mHL7HzGptRaAQovFYMEqG/airhQTY9JJu9DnCp6e4DpQr6WhgAMuFYFfiTna7m1xcV8oxoEr1J5EBZUzffaqqwAIAsQvTGRqLacR9sYJDYIVroolh0rktUEwBR8v47YBD/sJoQF2P2gCCeY17EHpbaZX1ZF5TCzC5XH0DrOAsV8n1DGAz0RvXtvm08weBch5lwcvLvpL6/ibosAYt389lySsNsWycWEAOGyIJ6kjcnXEEyorsnqFsJ4NSHqClV2qKZDHnOB6MR5kshbFoNTyjQjbZONSpXTEMW8Ug2yudg49YDekAqIm3vttzxuEhXnJxq3sVi3we+FRuODOTQ9WJV/EYSkBlO05KR6omVdW8eIWuLgRScXZhK186v8fACMO78mnRqEfN0EBkvqCZmL0dhm1qElso3z7smmIRZY3cYKgapoMOCwaEsEGlTQ7oHDobjh8phbNfQWMLXNYKUcND5zE8nT1u1mzr5NFOweW5bdxmjBqvy8fdlYvhL1qpuiCdCSTe9aAliDZft37QMkCKIICy+AifJshknfA87T3XZk/X2yQeJUs/Dx3/tnqrLQE3uu9UCz0WpdVJ87qkgvRENsxYscGdQQQiKNVx7OmfNhP14lcVddczsnf9Weaqztfm2KOk6hiJOie14LNF60bce0822erv7KTMwBUG1486pJEHppewWgzQu1mmCelPWeOAzLiznBeJBX0D6sa67u0dZ1djpt7DuH2pADnhyEwiDa97Z0Vui8wvNrArCTtUNVeLxs1mNS1QKe0M7HCxVqRdxWRHj1DFryB2ljVyOPo6Ve5RPuVwrVVhjiG9dkx3m/KkT6lCG2QqrkiuDrn6O4Ns8szgUaOuiuQ5gzhh/yek4iLDIKvyOdqdist3uKWZmlUivSGyy7obYK46GtPZOK6XiYQJgnKr5u5DdjK5j0z4o0uQovxYg0CFIEdFkL7VIU6QS4HkiLZbCK7DlyBUHZtY+r4FsowGIdt2WfaBdkhXfnEHvh1SHt3lnmXoGWEKYLkVsa6acLuABWNMqUFckXnmQ0CzE6XCTEamFRXMOk2nHtpC4CGxJ5x2tNx7Uo4WOLqtXSUDdroY/dJy+kXs2XRDsiVIr0bQujXDelxS5SjZd8YWe+9LZvDWsiHWdtmi2lB/Ke92l4oAaEC506WqjRtwL3X+mvEUS+N/oeUTpqo0hRdEdHISnCpSBMRJTEvCLQyliRb4DpHLDc0mIKQEOMtOZAsUZFAmRmvNJ/ZlI4TwnLJaA7mwBQJerKufthYRdX/uxCX+/zDt3E4sRyK7h8VfDmtw84XXos+QbpRZo4aP85YMl78k/vls29AWCFbO0EXU+bn+OO/E53z9iuhfWrCd2YkeeIZY6Qc0T/e3P16NcxcnkT6UhwXC0wSw+8/Dlw/FXAclNx+XADLIHILAHkocPLyRp3u4Kwo5dzFMUPxxuUGvD8sEd8iihF8F1/h6dxxj7NmGqHT/MeD/OuqYkDwPHSY1kiYmSyO00dyrEDRCGHDBHq8MyfR9p+7ohSG3/gs5vvgbJTICi6PmOZU+O110NBDVR1/neff42naUSIBbgBLr+tQBWMdxMOw4x5n7DcdSY6Z4Umgdnagc8UwPKG88RdMEQoACpJ8fIbxnN1ZPIbXyK6J54LOhaXZRLIEvH8h1v8j4876BIgx1VROwLItxXLu8o99fd7s0DjOeUdha7iKaB/pPXqv+T1p3dyl9xw+oiBCV0FYW2+qYgw2OnSWvnfwuSaFURCuWXgEp7OrNQbVE4Wji+vsMLgCZoCkK2KKwINpQUM2pR3QwtYAEsQFio4og8t0HFFRVkK6vsO05vQeC8AITktOIowGCar79GiEE2C6u8JQuqxd65EVr6PAlgqumVmANcx6QjmewrAKu2E17hAgS/E6UKO5ot3h4sF6BbkSKVnHypw+gbI94UL/CxNzEQyoKamVnqDzVQ1cSNB/1wtyY12Dutjz2Yq7hyZMii/Yw7oHwO6k0nN92tVXyrQC0zQiEIa+RBbESHaGrccBJc36Qo6xI6YJQFlFamhSAyz9TokCywi0G+6Y/7MrfhaIxCiBWOBMDKNgv6xYwLwM7xFtQR3JWTYBuWdKks4yRey56cFkEBF0RiBnKFThfTdCvU0FIBcZmBegBihY8/7epot8N0E/OAzlVLgNhlQBYYeutsktcDGX9V+EdZrbnYiXnGOBmszeBvhwwywawWCK1ga/FxDMLGl2rpJPredJ6cGXWYiGoCEVimPmUIc/jd28ll0EqV3MOoq1uLXQOsrbrClt/EeLNCzDpgKxV3EKojQtbPQHaXB6Lsju57TfUCJ67lXGzca7fsS4EIMIQp9TjMgR2k8ttY9S0zmPVnd8mvI/ZRmjdLQI9V5V9p0BrxI4/d1C99kQW/zoL2YI3xv6+Z4olY4XssQIZ2ii2FFG6TrLUDGgVB8gInpsnCMJhOJcp/TXPjjBZx1ogC1Mmmpei1GZMF/S3xs3oTjxH3EYMfttbFtqTcjtAss+EwLEAJtfgREylgy7PtAte/l/WdgSGsftPtThnXsI3BKxkswvQFPprTBldu9rWaP1/YivkeK8tys6OQih2UX2viVQiEhwARyOhOlmTfrq6xCQnEizBmg2qgnia3wMjAwYdLAa62dn7swUPK5a+vlsg+Y7k247AyoKPKe36cJyAPHDjUuVuikJwYSmbxvizHFRJ/auNuMTViyuKIV1vXV7Yk0b8YFYJ2uzL1416G84vI2XYIgqLau5V2wRLPS0iIGdqUDuIZu4MphKkDXowwR6WlB+PEB6DvU+wMQCc9DEBbrzqQb1ZvRxk1k0S5xbXc9BVRFep4gpwnad/T+HRPygXMsXiprooqWHHrSON92VvCgeFm8FKRzQRkjg/IkgASESK9bGJS5O9c1sXPkja1dnuTWHgaXZrIXshgPkd9XoyBdAvISUQ2i7PtrWCq6F9t7DBVXhojSp7anQynMlC4VeQwoFjd1L6bGDCuEdIK88P93LxxPZeAcKD0Fh0wygx36oUJ7LwZwAS07C4gvArlcJ4Msiq+FyS1nMe+10U0YVAswewFnLVDS5WJtBkA4FplMCrpzRfeUsdwmzIdgDYJNEcO87LvnAjGhUo3spI4fFhbXraje9EWssFyt+xwKmhiVF1u94FJ6dltDlgZ5D4uutmpLvqJZYahYDuyKL4fr579FSDiEXpM0kdLhwS2XxNZFNH/edLFCycK4UyPwF7/8AS/zgO//YQSqIN8q8kHRf33Cf//rv8I/nN/h//7DX0JyQHx28VOgf6RI2mkMTIhsbfOidRkFfSpIseI4FNpqViXoJoAopq7iF18+4d3uhKkkTDnh9//0Doffc924fMkYtfTmsZycLsMmkfZAeTdjfzNhetgh/dBx+7Xx1X+mY8j0vgJfTuiHjF3HQfLx+YDp3EEeOvSPATkLzt2Iedfhx90ZFYK/e3iPh6c9hnHBFzdHKIDp0qNMETlVhKgozx36HyPKCAz/6gljv+DT79+g+xx57ocKWSL237NI+tSTRgABulTIC7axLbcL+oHd3b//+I7rT1QMw4Svv37GbXfBpXRYasScIz7fdShTRHiILZ5LgWtLiQqJBehp2SgKuNhnnSMkVex/84QUKp1CAHz69h79J8Z83APMXq0C3WNCWJIJJnJsu+jX9H7Cv/71D/i7b7/A4T/uruyzNAI6FuAY0D8CddVX+2dff3qS2yUG+ht+1rbD0LpNngRUq4C+bjVbZyCcN4oaIQClQs4zxR8GJ1HZn2fytuhDawFj4axt51AVgtpEAACs6rCetFg1mB2uCOkCubE7U4sb1kVzu4FrtOBh5mSMzhP2qmfRNRjaXK9Xu1FA1WCsybEoAPfVFUtoz9qCjm3XiHA4LjzxQt4hNw1cJXdhMXXCtiEYzyeuQbjzABnE8X3F+K+1x1W3CcGSCbXdCDyvcAmNa+GVzWBBhquPNrGMaIqafWgBk5qYl/tPUiSI6njYFAe2CQUqUK21p9adlaKIZ3bqcxeurrH00ryRvXrREkFPGgHr7L8KrLz79LpA83oom+KyelMnRgZcLpTkSWupTBRKWSH8gIlHWHFnWygSWZOb1wgFVaop+zgPaPBmdhs8oZWrYLSmVdHTuUo+3qtvqLOYP6+tWWUNHnQbmPqr8YWVCUEQbIYKGQO+wYugwgpOwsJNnBxKv8659Znbjy+2HORw7pWKrnDrSngNC0q4Csp5Dzeb6QKUDq0rfAWRrPZmUbia7WprsgYpfFRe7AqcHw4RFv8+s2DYQIcbVN6+ZhVBsnlVKqkVbXzwGr1gsVUPXmF6m88vzp22a3mVSF4hFqwg6Nzy9cC89pX6UaHzQq66Q+C3yWvwwN8+kwxVY8eWIMBi32Vcd3U/JO8chwAdunZMFw/UziHQ1v3T63sD5zwnaVoOpWf3yZ+5r0kNvm6d03QJq2hXVYreWKGp0WKAq+JTG06v7xdg6v5rwtzuj/27llUJ1jUmuPYr6QUFzeqkGNKGnSpta3wT06lYRaJsvgmwWp6ozVe9fk8b79XH3jrHHT10JdCnaNxlR8b4T7O48fOy/bDtR9YlcNpDsz/bCFP62u9FOu/28h7bKdhaVoaw2tr5ejJYjNFFIrvcCmcDlw9LQah5XVPHgeiaGGkTpYTiIRHOHDITS9RKr1oba+4B7LQY7SIwdjZ+7Vlagu5aF6FUoGgrgDThLUfK+Nq23Zs98UvCwrGhU66en5qat63by70a6srG0cDCM4J7Dm+GqwAuAna1Tnri3N4nLRFtHN3NMwFsvNha2OhFAVakvv7Odo2Vnb3mbR4A7RXhsH5Aq0BniufUF2lUDA2GpMv0DwfQrEa8QeG8zTbu4wpv5n6xQrOl2lzyGK5655ljmyre6313dJmP7dIBcqACfjqtf3PtBI+FvOi+CnrZnHdUUCKH2ItMfj1+DWWw55G4rl6tP/7ye/tKvIquGjyex7nNCsmuY7mxNVKuaRBQIJ45TssgJqSn+HzZYVoSiwb23nQSTE8D/p+P3+DhsmuiT3lE6/gD3HfTIwsnyfQ0tDeYugDPxxFBFJhis5GiKi8FkBAUc454mQeclw5TjkBUnH5pyK7E45QBa/F64HnXBEJvi2C60LazGGLAE34vfKQXwRJ7XPYRT+OAGBTTuYOeEgsvppOAOaAI8IenWzxPA04TNS5qFcwlNnssiFIQ1Ca5j9fLqW/im2XgvY4vjOFPv+Skmd4p8m0BouJ4GogMGyuXgiVgyj0kVYPW81WK4IfnGzykHaZMwaxlTmtwpryvuAQ8Pe84VwpdL7YWTQCARUhDSIqjQavFElrJgetNWu+9FrS/E4ULLAfOweVOUQdFt1sQoIipYrmxcedSCwVApkBauijK5WfG+8+8/uQkV3cj+YTO2XJo1xaOXFhF1ZwJjxt6dmqcE+VB2pLJewkBuh+hQwc5T8BlAm72qPsbHhpmn/I0EbbWJ5RdZxAnsy9Iq20PlkqLk8Ghc+zWhhRQNV5xaZaBwdjlrWB6C+SDIn8503h6JjFepkBYZCYcJV6A7sQOqQdOcVKkU4H7+7UNCVxMapdoN/BwgdTK6vBgAitLtQSGPJbxI6yCGghp2Tzb7sQFsjsqurNiuiXRfxvkxDMwILAatHMrGr3mtBYTNNgEPssNNxFWgj1gtvdXC9itchpnGkoTNk0oXppYccqDrNBmU2ld9qtRuifzwZQ807kiLIrlEDDfWrJnyXdYarMZcWioOOTNgv50zoiPGcttj/kuWBBpHb4RBvcRxL1Bny7eSautO0VO4ia48m6WB1wekLkt1hahMA4MwE1cqhWA0ppE025FocvCoH/jSShLtqBJ2rnoqwJSg+/572uFXAz54Hx4YRJQh0SLDxOm2CZXy04wv1kr6TUaBGYj+Z+eA3bfW/VXcM0R3yjmXb0qIDkz0XXEhUjruGmyJCYKJAUgCiQHxoZZkabQoL0+3nzuoEcbD+LBbTQBhqECiyCeA1Bt4VUgmZ/oeuJoHS520hR6E5D30vJZV/OE+uLM8e28JMCTJSBDkMC/+XmukHmDD3aboBRr0LEWsDhvxJ9TMHj/YsHxpnAHALXrkHexBTJOraCgnYmgLMrNtzqfi4F4Sw5zgW6Cf00JWMxf1Mefj3d7rgiAzgv0eDR7Fv3J/BAr2hDOLPSfFYEcL0Qt5AJX3Jd5YTHTOeVdIipBBGrQaOelaxdRDwOkVITLsna9A89RSmnFytoJln2woF+wWLcyH2CFPtt8LRlJzwKptC3oX2gVEjL9eKUqZN5w7cX2lZmy+DKHda62YhQtZRrPvwmQXcN52YWMVvzkeIkz52T1gKwTwtMscNC0cqgq1AqS9I1tia7NcVfZ9vXRRX2ANQkQZYcnGx0gVjQRqzhtYJbKwD/MleN6NHsgg+D7+z0hczRSNc5htKJv7dl17U4LwmVZx1ll8dqLoNVt5DyIdw6yIbCWm4hl53BwJiFzIrS63/cIXccxGQK0SW8D4fGM4HjHvkN5c0NNj87nE7uYy5iw3EaEKVBXIFeE5zOFNO9vkO9GE07jopIPHUJP2LSUSoXijiiMdFwYn0wLZFqQv7rD5T0x9N2pGmS0IhQryls3mR6tpiqdWOhwIcbtS1QxvQ04f6Wouwp5w7hldtXihYXWcKLvqVYreojPA0+2rVAoazHBHQAcYus0NK5fvh5JuxaOYdi654UZe78lh57MOtWkf+QYygd23OLtgq/fPyKFiiFmTCXhw8sB85RQjjuUSRD6FWmQLoCKooyAJMKIi+0V/WdLfi2WyXtFuSf8Mx2tyL6N9QOTle7CQHv8RPu1MgbkfWjfSWQG44gyuFCpYLoPiLNi/2NtaLQyhhbDtQKDAt25Ip1r2zN8r8iD4PgrYLmp6F7sPDcx2HLLdaZ8H1Zax08HhYlrGfUoC+JF0D9ybucDO/xNpyKyS65Jcfol99Px24TDtxx/pec57D4S5ff424TpHVF93/94jxAV8tWE/AWQfjdi/wdBmHv8+/IrQAWddfan95VdObVY7CXg5h9Y4OZ6B9RbxXJfuM59O0KrUIdSvbHDc6+3TBSP5wGXucN06VAvEXFXcPhvP2BaOsy/u0U6Cea3tVkNIW0aFCrAFJHPEegr5P1EpfuHjhzgCxE13QtQf4yY3kQ87g4IoUI+9OhfyBOmJaMgPUfoOeB4usVLVGBX0I0ZtQacpp5KxKIIpk4cYkXuI3nECsgPA3si+4r6JiN+Stj9ELAcgPN/c8JuN+PGOqcPDwfo9yPqruLu62cEUTz8/o7Q6UNF3vtiz+vMH3eMbcxmqQ4K7Au/1wpR/ceI+hSp2jwoa/TLq9zjMWD8aB3Yd2Hl4QNAB8z3Vp2LNt8L7437LNfEWLMOFbuvTrjZTRjN+Hy3m/H0ywHhEjB8CKZED+hLQPcsGB4ryuWnDaafe/0XEp6CZUd6zRXcTjrvGMir3zfIl5jIiyUC5p0rwo6hOPzNuwP+0s331uvvFxV2PWqFYoWvIQpQbQNu3RC0LgsrbqwS1U4Rh4IQKmpi5V0looTQ+JGAmKredXXUeXNXHCW7VY2bG3hSzt/bGreLWVSEpVonThG8amebhWQgwjg5YsczdBy7S2KLk1oHlcf097ZK7B8pimytjxz+A6BpLElZi73O4Wrd2k3F17/D+UCt86KbW2b3pQmtGD/GYXZNFKLdp+tz3XJX2sabNgIUYhDB3q+DsKyabdN+LaJzNcy2Y9kDvu1YDj/9/GvY8+tjvN6UvPPnx9l87mertPa1eDXXaaUiaBYn2y6uPXffTB32WweDdCWFmqiAv8oi9IMGGmc2BN1wGv/IeTXsmSMaNn+3NUOKjXNlIOcd/SDaAn5gDWBFf+bL7Bw0Km0nlMqM5BxxvdiKXrwe7y0h8PFtXT0BE/p2nXCUgY/B6+Nc3Qt/hJvupv+9ec76WN6cT/v/Pu9cr8D+tu24bP0ufQ0rBtkjYsHunxLW5srHtMV5DaXx71f85IE6rP51x/bqg9KSCVRdO8G1QrDRPmg36+f2CF3rSvLqezZ7i+8F7f6+TsatI+pCVlurDyYIG0uMzbiQxSgpQZEuvPce1F/N7Z/bv169pxWj3GsXaPZ47Zg+XjYdI1ULsOO6Tqpxd10R1s+dSsPCqeYd6fb91x3ctu3aj2znhPgcUIQirMP9c/GDJz9b3YPNsbbIhRVRtLnPV91v+y5bq7h22ZixaxfroG3362r6Aa7Szrkrbf4QsbCOV/X4wr+3eiEZLCCmcL1GAA0i6gWoq+cNG3vhes93lJbMet0RtXmvniDamuh5thRYV1uvjyXWQYR3xHVzPLQOsr9qgsEvK4Yhm72HQHW1XKnFtS487vGOvI0v21OacJls5pKvg8X2xFfrVjs9K+4Hm48Q0LHCFlbngF/dbz8XG+MhVKRQ0cWCLhZkDbZkyIrcsc80bQSwYS+y+Z3FEgAssV9jEkfDud7DljJw9RKs19HWdrQu+3YN337e7Sb/2OunY4T33dfxGgGktSPeUHKWkIp3vtugebWmmo4NBGZLaf7CpuHS0BzbV7h+NlvYt/+eiAK7Z1Yc0EtEscIhIdBijQkgnCJ/t4D7mlo8UEHtns39qxENpu0IE5/b2wKee8lKVxG7inFY0KdCbqrB28cuQ1Vw6qhFUIcK7CxIfW1BmAWyCOj84xPT7nVPlISfQ1iAMlF7J5pdz7awKBVAFg6ZwmOyiZ0hg+UmKkzcu4LdMKOWgDxQNjxOwssvLEZBNzmECmoVZAQEO8Z2HFWVFREB+Bfb5JCr+Me1H1ZaiT9z2//Auegd3oZwcD0Rm38sVuj6N1E0RFpbJDbjR+yzie+LkfO8qOC49PzEWChuO4ihmlY3mC1F7D/3+tOFp05nBOP2tWBDyQ3wgMPcoNEEe7bBjOraHQuBXbAQUG8G1D6t3bBcEE4z1GBI3GBj891rMGc7B1a2Cv+bC6RLqPsOiIJy6KDSI+8i8iG0IKhGkzvvvWoO1LFi12d0qWA/HBFFcZo7TEvCskTkS4flwgikO0YMD0qrIasEq9hdNs4OqiJeCuKZ1etyGOypK7qXhRvdUqxT17WkXO2+XQurAFLZqVx2tPdZbgTLYQ0ARYHzNxnj+zNKDsAcoUuA5kS4gUl9i2IDueQY7Y7s/FAa335v60Pek4yetjAWezln0u0JKKJljzsCJZJPsgpVcEI5/9KhhOlYMP44r+MEPrgVcSlItkCr2Yo4z7QMEZIVeR8J9xlIWuemyABRMqtzoRg/YwJN1V1VNpcreBuFdCzjcYiyKtQglLIfoV1au8HGS4TSb9MMkNm9hdmhAOx4dYbbcV6i/Zv8vpX7qCk2IZ/Gz/XziJH2KcCKpvA/W2eQXXkGjvMhkJ9yJ1juFPm24vDNM7q4XnOuAaUEnOKI6dJbR9DM6118KbHjwk6XCRHFQL6aJ2iFUOqgijomFq8a9FMRmpcleZ+ysKNX+wDcchzHmd3MZb8pVnkXNzDgR1/R7RboICj7gDpH4CE1Hz3frN0yKNh/PdlJlwqpYp3AdUHeJgNt01dW+h226cEHeYHrsWFVnNUneIXSxYkCMluKgyt+h9nfY+teFHZgQ8Cy7yikNAotLazCXhMwvV2FV5owzIGc/f6RXV0dIlVnY+B/t3DlaQbiSHEpn3ci0LFf1/aqkKHn2AyRYlUxQHcDNEaE5yP0MnHd9eKR821VV+HBbYK4gaTCu1jV1nUlB1xTgEwL0sMLtEuobw7s9G0T1ULV/TLGDfd5/cl7RfnlhNQXHPYTulTwch4wXTrMuw4aY+MRdqcAFwPTakXXuopi0RWgZ3d5SK3bK0WBeWG3uVqH2u8lAMQICYawMCViBsJKSCy4rocSUG9d9I/JS02KujOInl1zXQLCFFsw6+gE7w42eot13eKiqBPQklUBkC1oL4owefLHjk5NWGGU6tz5zt6zzguHQ7vIy1WSpmh881bcscKXbNS/oRTRURHInvDFoNxL8yHh8i7Z/rwJsp0eZPM7HXn9tQttzEkukC1iIQTUmx3qjmORXsaVomaqKPsOOkSEuWL8kZsX0VgR2I+QgaJVZWDnN5j4oQagSkB3yghPZ6jsoG86rrlve0jp0D0lxOMEqGL8gfxJ3hdl9zoGK7JzDR0euFfk3Tqma2JhfXrDf8eZx6g9gKSQoeDLuxfsO4rfpFDxsgw45w4/Pt/giAPimTxDR0RVF+q0ccAxs8LQpXLfCUtF/8jrbeKdXjjx4pJ3bwL5uv7/q3X9L++laYdEEymavqiEn+4LpKvoUsXThZDQFAtOU4/Txz1kCkAA5nuKkfbBk1Wec7oIaqRIVD3DmhZokOloBb8wM2jef8/zm95I4zg2CkNk/HN5G4keXPg9XjinaNEKMXZYMK1/tDVO2Em1MSKOvuJYdOHDPLh2ALDcic07RbB1yN0GsheghXFMU4LPhWrfZSUrdp+42cy3hE7f/3AdP6Yz96bW6NnzvkKA8ceAdA5IRxZjVhQMsNzwGpZ7RdlXyCLofuReO/7I6817PldRYPjIfXEV0QvIkyCdBP0T98TLl178sPxAge4h2j1mQe/wvaB7UTz8L4D9XzzgEAt2XcZNP+H/9NV/wJ91D/g/f/e/w1/949cAgI9PB6gK5M2McifYHybshwWfn/bAd+QOe/WYEG5BnoWMwWq6NQE4/nkGuor0qcPw0VAzHxifp5M05ePacx2lLaIV6sHOaDwlXL5OuP/iAaUGPH06AHPAb379Pf77X/x7/M/Pv8L/uPs1zuce5fsdwiRIzwF4YgFueseYYvh/7SB1h/mWXW/sK+pb5j9Pn/cEFN3NkDcV5aVHeKYdI2HdgNzPiInd4xAUOQeUJaJe0lpAGZRFhNuM2/dHqArOpwF1CdDnhHgSzG8qpl/oWoioQlGxGegmopFqMl/4RH523RU+26hExc4sEByfRlzOPZuIJSD0BbdvTxZ/7iGXgMM/RBz+oK3Z2WD//5nXn97JnTOA3LhZVCC2apLxXVtAI7IGOgZ7A7C+F0BTnu0iA50YVmGTXCAJUBgnKwIKJrRN9j+CfysOb6rAK9GJagqztWeC5YtajQb3G6zzmRSIipQK+lRw10/YpQXPacAlJ5znDqegmEOHfMNIuTtu7o0q5FVJ0Lmv4ZIJqR4TEAVhooWCbCr/YtxMq+MiSADm2joGzS9WAT2QoF96UP0M7M5BgXCz4Mu7F7xMPZ6UCm8ucgHrdDk/hAe2z23M6htvyDayFujndXNpE6Rj5WrL/3LlT68uUeXWNourqut6rLBQyIMiYptOqUHBJHvHfw10vXPjcObac+Epu+3GpDQsV6Gf18z74IqZTcxpWxFVU1be8PAoRFWux7cjESoTXADsTNjnqT1vu7LPhyANuulz4DWXnb+Xq/N5/fLEQLRYp3QNHt0Ld4XO2n3pwcBiLPji5oghZhQNqCq45ISlRMxTh2oCIITerV0Fv98Op5VC+xHy6DhWZXvfLIGhfUxd1wIRhFzJf2vXC0iO7PAayoPjY52zjdcVALG5qioIsWIBAHFyFn+kIQU2HRrr/IUCyGQ8ksgqbKvOb6r3a6VarxTNAf+cJdFZDTGC1rn1LgSABmND0JWysVEIpp9oMVVuJlkU2jCkSUMpeMBvEL1xDYJa8mFUipBXjnYbs9sEs1SuoSba0wqV3s2tVINn4SZy3Xc4qPEZuf5aQpEJw+f7bd68Fp/yeeOvlgDbXCoVjGQZyOn5AtEBTXjwak4wGd52eRoUUwBNQL9bsB9nfH37jH2a8V28w4PscFGgXIIFK4KyYEX6WFFlbePo+jw626+qIs4s7kqpvAc5/ETBettGXVEb9ryt61M7oiUajNI6X1xDFWIeha2zZbYlHDdoRRzYOu1vFpjAYvHOgLZn0ZCrhUFm2cDr/b/iyUrn+8H63BrE1Tuk/og3c82RC45Wal8MoPGcc2kUlO2zJQdXkEdyucip1IZmCUWa76kar/BqXG/1E2xPqUNs50HE0rp21hgQ52xFpggdyL9FcirFuu9s6QvsUNUmtuZUAnpRUuRJZ1aU42XjvQzQB9pEpDSBgpte+DIBywohkkq4xze1+SLmxqCISXE3XHDXXfCuP2EICx7SHsfSYy4Rx3GHAhhs3Ck8fq+B4J1jMFDf2vJBQUste9UNEg3RCwbX46lxsTs+Ctg62GyJBCi7CnSKuCsIkei5XKltUBXIJUCmgDBZ0tr9DBrD4yslLYqqzroZr3yro8/iZRWCy/vQ7vvVem+UAVh36ye8Yot1vAsWvCDgXWOx56s+Tm19t0dfRmnJPzVgOMbdFm4VduTvmgWSgjD2xqVWFuO3AmsX7vu1B+SFNAwN0sQl3cpHI/UrAFDsCy4KtVpEkYKAVviCcK/RqAbppY3M/kNFOlW8fBOx3PC+sAhD3Rgo+P7ApLd7VuSd4PKevExeNM89Tca7jVwfw2KK8B3wq3tC2QMUb4cT/u34T/hX3Sf8D+O/wd+kr1BVkJcECNWHQ1AcxhmHfsaj7KANfsvrDosJsnUgNLfawicK2WeMhxnnOaB7Sjw/L0gaB90RjA6/52Jo9/Ii6J+B+U3AEDMWia1D/W444d+O/4hTGfB3h/f4COAlkt8n1oQqoyLvFOkkGD+pFc0FZQdMnSD0FTUL9GS85sOM/Tjh07mjfk7Uxl+PXcE4LhhSQZ8yTlOP57JjHLJtHCRFGAre7c/IlT6+S0hYTlxwdFDI3Uyu/Dmx+W1reZyBdNK1KKcCFeZT6BSSKukTS4RTKXIV6nQUgcaKfb+g1IDLPqNKQlgixs8FpQ8cvz8NgX/29adzcucZEFds4aKMFKGu0ukJbJcADOQwzgsnoidzk7ctLCBSRTgvq6LfblwDoVwQDPbjSbKYb5wEgUa7pAAjYneAWLW9N55uoUfqcohYDqYyeSFpunZGih+BuqsI+4x3+zNu+gnf7B9wly74/fkNfrxQNvylilWDsOksGbeit91H0YIXtz2oexLRKWihTSHUOzbq3Vt/TzUhjD5YCz9YwuLfZeqbCTyfwEmBAGgRfDrukXNYbUu8o1nZzY0XUEXxVVC0DRRDZpea5xVWgSJTY3ST8jhX8yldifSeTOSNsmzttHXWQjZFQuPYeaCUb/p1sDVoO++nC9HwvqIlL0wAEpb9Wu0vg8G4dgUyFugUUZ8jQuZ3xYmVchZpKpWQy4Z8CgvsN7YUAqzqtCaes515rRvmvFmzbbmeQGpiORz7GmS1W9leM0CO10Q1bpiqs4bQYHcucubCPM5Lz7vY4H1UqXMuNRfPclMR9xm3/YSbNGEXF6RQEEURoPir4Rf4u/NXqKeIfIpQ4XhJBqH3AN35XV6oaZ3crUBP2fzOOJiQdaxLqQ3OLyYitkIh14SgJmC54Yaf7wuQKkKqyJm+b1oD1CFO6ouu8WmLmpok51XtAmFfZR3ncRbbtGQNXLGOd6nsUDCIkiZYEhcrOhlffYUrt/0S3Yld6bX6T+uwBl1uAZZ1UQxd4OOn0RkqE/PcoRW4yk5RBm2dCDHlXXL6eSIUbDNEwbIAdRO1jT2QOq6TPg6DtGclhlJAzmARx4qbQRBO1kGYZn6m76A3+/VzqkQjNKsrOw+3GWpjpCB+euFc6BKQ2EHFovzs7YFd1akYx5PHql1E2VPMrvQBpSM/rvSmLHtDjtef3R1x20/4xe4Zh8gu120/4YfuBp+nCJVkfGZC1EKOiNHgWKVCurgm/7AxImuRB6XymobuKoEj/1Cu5jQ7r+S4tkAYAEBFXUf8+9jTCITDgsPtBZdLh+XYb5JFvtdFojyxr9is6QDCrOjMFmYV4fP9ie+pVjgRVdMs2KxrxfYzsWRX1m6tF5/Y9dMVYg/bF4yjXM1qULuIansycmUyuY9c0wrnRRkClkNC3lkR15IBTWqUCxNSWtbEQgUIU4E+PfN+xwjdjPN6OyICtF5Zysq3Bod0PM4IJ2noM6kVmHirZM5AqYiWWNQUUEZ20uOltCJVvRmhMSBOlaq+3sVe6lrk98Jf55xs2/OLQs7cC09f9WsxBNalfy7sKluyOL9h4rG8KxjenfH1m2f8d1/8De7jGYttwtPQYdGIJBU/PtxgEef0y6YDaTofhRZGnqC7kwLA8RovLOaQP212dB1jE7iGh43nrd2Oq0APj8oOngkehRmIx4g6VEM3KEQKhlSw6xa8G094nEf87mVAOSd0DxHpJSBeYEE0mnK1U3Gi2cXVyITE5w85uQIdmPwt+9Bg6XFSyAUtYebkWeeJRlsTCjmaGoH5hutfswZLgjxwbe6KQlVQdoFcYU/0sD773OgVaJDxMqr9l0XHughkARWnb4w/eYoIk93b0RFe5QrJVUfFdMO5fv4a+Py/CohnMa4sGjw+7yggVQYlzFZZAF9uLdHK2gohUpnMAkzefA3IB3YWnwIRAqc/q6hfTMBTh/GHiHQCxs9KBNNE/YvaAZf3VvCwxkO+qdC+oh62XWtFUcHDIbDIviv4j99/gZv9hP/l+x+wiwv+3em3+A/xlzikCf/1N9/i87TH94+3AIChywih4uPnG/z4YnHZuwxUQTwGoAryV4VUrUUQLqtQqxTB8HcjZBnR7xXTe/J64/3CLfDvR8RHaUJZ3gEGQM9ZKKa3FdM7oB4Kfv94jxQq3n71jBgUX43P+DHf4eNywMs0oNYAeTMj34SW9MWXiPEHrpnnr9BQSbU3kb5PPSQLuhPXiWne49LvEJ8j0guT4XKoQFAsjwOWxwGnm4xxN2O6dCgvTNzLby7QoMjHDjIFpK7gVzcPuJSEx/MIVQGSsiCVBfg4cA+zAnbeWwe4Y9JQehOV6iz2HgrkU4/+ISDvFPnLhcXvKrzOQza7KMXTaUTOAfWlQziH1nCb7gOefyMo86tC6B95/elJ7rJAY2YCYPBNQQ+979ix2RLiQwDmbEIjpcE5MS8UpUoJcthzYF2W1tHU3cDyn/O8lsw40DkxpUIyF1u48qZ3eg1Kpq5KCCDNFWEpBi+kOEs6c/HWxMC/jhUyFkp+715w313wr3YfcB9PmGrCKfc4Lx2DaV+zZP1h5ZbdkJB1TQIAQqYN4hkmwttkzryuoW/JOA8KdniLcr0NLkyzSXAj1q5lWvm5dV+BSPz/+cRgSL3C6V1VZTU1Tq/gbQL617rytFWn0kvh8WNCLrQ3yh0fY1xYYRo/Z8SpYNknlDHAIXTOo6F/LuEn7q8XZqUv7FJQe3ou1hiQD8l4ENp4PipglyNzzIVcjW/GY3qH3n1/a2eLwVCRbhbc3Z5wPA+YdGT1S2KroCJFYMnQnIFtkqt1TS63yAPvOEwzO7ZbxMLrDo53t3zs+u+sS6adyQZvk8Jtx8stVWJYrYsSO1fOPb8KmOwe1iEYYsGTXLSqcR0AGVnZu+sueNOd8WX/jNt4wU284BAIp/unmzeYQ4fyREP5xt2CbZQWDBBubIHeFtppsNXGnS/2mUAoahMOsufISs4K+Wq3zRPqKIS/DBXhZkFMbKmWwoxUKwh7MZQC/Ub1ynbBvX4BcK3ybMGEehC4ZpBzZAlDxFqxX2hFBCEUnMnKGvzXKFcJiM+hOJnvZuJ7Qt50dF4nQSbO5bxNoKwJsq48IBdZKQOr4Y5CkUtAnAl3Ku4VGAPHMw8Fres4166j+BQsZ3E4vheUlsy1+1VXrM2BebHFIEK6DnVvPIfTRArLdg4BK9KnnYBCzhOTk5SAN3eEaReD7acIHTu+byEFQIIp1A6RBR3jI5eOglNlsAT3tiLcLvjF/hlv+zO+GF6wDzN2ccZXAwU7nl52KJXPPbq1iVkARUMAbfm/V5w6oM1d7Tt2tWttSc+Vb7XdNy98hLmsCY8f3rsC6g+Dz3TYLfjy5ogfccDyPDR+FGAJc/s++5x3FCraGJWKZm3HTHRNTN1Dvuw4wV1p2jvikhXJIMUaoiVAhuIIAiQTWrqUJhJIa5JKmk4g3NkRN5IEMhPajRAsyTGI7FyQDxHTvUN4V42FGgE13QynTzREkvCe1scnxhXjAOjc7lMZ6c0a5syC+vMJSBH1dsfvPs8IS4YOHUXTYPuwxx8mOBhUIUOHsk/s5E+0uKJ9EGOgOJV272HQ61U3geOg2jquxiOWrIilYtknXN4G1F4QL16cU3QvmVZ/lWvnckuxKU9w/+L+R/x3h/+AW1nwbbnFRbtmc3iqPf797mscVZB3tEoJE+G70ayAGBORbrAcEqqEVgERNVi+NyEA2jzFjo0G62x6YaTY3uoilqjA+FARJ8V8FzDfAHGiaE+pTH40CUKoGFLGm/GMX+0fcNPt8MPNDc4CxO8Sxg8+JoGtxIDHGXIBumOBC7lpYExTk6EADIqcd0xkWKBH0wFx6LVz4RlLcE3vnxXj54oyCC7vSP2JE7WMXAldF0V3YgfL7fG6Y0U8cuxw/iiAjTp4XBXUa2/Q7aSoU4CkAN0V3BiM81x3qMqCXu0j98ouQWUN60uvwD19Xe/vTvjX7z7g7x/f4XH5Av0zn7l7kM5vqhWsOI/qoFisABLs/nkTJJ6ZxFM9lwny/I70vHzgc9n95hn/+v0H/NUffoHycEA8C4aHgu55QVh65H3A6cuAy5dW7J0EKMDyRhH2GcNuwf3hjDlHHM8DRICv3zzhvr/gr3/4CtMf9nh6H3D4xYw+ZPyH4y8w14Rf7z7j//j+b/FXx1/i8Tyi1IDDwLn/+aHH/vcR0/uK+OsTagkoy8DY9v0Z7++P+OHjHeQ4rkluBW7+UbH/seDTv0mYv5kxHGb8668+4Jw7/MO335DWt+M+HLIimQ8xgX6Ccp8xvrmg5IDj04jUF/yvf/V7fD0+44vuBR/LDR6WPc5zh1oFh9sLBEQv1Bownw8YPzFfOf6mNj9aBIUcI7rHYF1uPrt4phieW4VpFL5fFPEhISyCRQUXUZRLQjhF1F3Fv/rlB/xi94z/8Z9+jfmHPbqu4De7T3jKO/yNfMkbkpTK5ydB/xRQoxLGHtkY5CRICDMVlvNNZSFylxGiIhwFt79TnH4h0N9kpFQwvQxAFvTDgl++ecLDecTD4wF1iojHQC75wmubbwWX38zQZWOV9c+8/nRObt8DEhjgp8TuVYorF68UJqiJm+E2eKfVSmCyW0zB6HVigM1n7HPNq9GDZ08Q3Kc3BCoobwOxstmYo6BEgxwsxjdIK38LAmhfMR5mHMYZQSiEsw8z9mFCZyXNIIrU0bfLz5Bd3NVaxOr4fP9cruFd3tXyyltcbTbEEgAABi8E6pBQBkINw6wQ684EMFGnfY8QWipcuBnEGue2BGgWynCfV084MRGCVo23V5w4KdoGsDEyZ/fJ3ljXRLndS4l2jGoJOO9EOlvHt5HUsVpoJKsEiwX1skJlaBcF41lZ8uAQUO8Cqlcmt5BQm+CpAgbxu8wdlilBzpHJz8l9Jj0ZC5Cug8TtuDNUwqtuLbbd5G2Cu4XIx03hRcLPj/NNctvGiG7+69xGT25fvwKgCA3dANhY9ES0bpLbLZSznbtiFxfs4owxLOikYNGIh7LHogF9n5GXePUZHwvrF6Il/xQ3YqfZk9L1npn40RZqWgFY58pFcHgcXAkjeGeLlhMM0uu8IiYA0BA9B1Zk24+N0QVULDZ/W9gYRK5w1Vvv/mpdOYSti2bcROeArSJUctWFdYjetWgNrzPM/H6t9NGWpW74WsBrATONkQW7JqTk6wyaAq+LvhFipRTFM4l/McuFuICiI5sx+5NXra0YI0tefXKHlZPbijnD0H4nmer5V/B9VSp++7EcMmrzSJZNch02c8e7Z9YhRgAw8/0qshYy/bFvkC+rIIWs4yesCVGwOV03A3eqCQ/LDufcQYs0ZI4HmyXbFHbxw7be+IBTBOOYayRvunXptrWAn7Ebg+tB9JvEX7x4afPXk1xlEHg59fg+3OJ86ht8M8y2llf/Liu4KNZEXJ0PC/KMVRB9zDtvVzfjT9djtY5e5L11dV8mooB7PKtwXEtRoyTYsY1u4OfRijp2/3wuAtX83qUVlloCXj354Hgm3430CffqXO8VULuItN/zesSgDe1ZmAOD6RiEMhrH2iDot2M7V0K+eVAVgZhtIscdkS3BFNBVQMhxNBoN0FBcLoxJpFKCxsBCuD8ee+4sUILFPwH6F22dSX++y21C3oUN11QgU0DOEZnKOeht8F20w0M5YJQFo2EsQ6it+wJYwjdyjWRC5oUPXa22HJUQqCUipTbVfMDWMQBhCSuk3YZSyOtaLrImou1vgd9fxgrpK2IqmOeETzniNHc45w6PlxGnHw+Ix8DObBQrzq9q3gDXwliItIkXUy32YqHY9yoMCo427h0BEbIhF0SgxR8q1iTPiin+7+5ZkSLQnVn0jHadTuVqa5LtbXkX276hwnVbF0B6H5t2XgKUKnDRSw0KFMHpOECLIBzjGvwDhIr3HTSu60z/KdDXuAgedY//UL/C8WXEYJ6ltUNzK+gfAmqvWG7YRZ7fMentPgW+f7OWLremtXKS5jYQLox30wvjxeN4wN8qGGvdEmL86S87xCmZNgiw7NHg9hgM+ddXpL4gmC1QLhG1sMhyyQl96NB3GfObGbeHC3ZxRicFl9LhUjoEUbyLL7hLFyS7F7mSguX0DSksiGsV0vsCUHLE43GHekroJyb23YuPEcV0T/SiREUtAd8+3WHOacOXZhdTF5uPimb/JlPA5WGE9AXjYUaXCp7nEVUFQ1iwDzMWpa0awXnK/y+KqhWXfcX0JhEhkXk8CpIpEIHlrkIyKYtQWxvD6om83Cr6uwkiiikH6IVrRLkkINs9EMUPzzd4mXtMDyO6p4BjOuD/Ovwllhzx/OkATAHpOTKOsLgKg6COBeg4PrFwXVruOe77Tyws5V1Gv59xOYwsDO2AOkcsLoYVFXmJ+HTcYykRMVagByklAOa7gPOUUDsgvCSU+V+Wvv7pSe5hB1mEAc44oN4eILWSAO98qloZJHlHFmAw49A15xJcleMUVxwa3S7IhDPJbPyDLkH7xCRpICY9OgzUOI2hKMQqaMu7kdBUISegLbBeJRYg3mT8+ftP6GNBkoogFbfxjK/SM3aRq0oXC8Z+QSlrMuEKp55UtFW+KMI5I0wMGlv3zQW6bNMkFHetkNKnltebdwllZILbHS3gQ0LtudhQEABYbu0WTwwUalSgAz0fjxQH6B+lmTEHs1DxzdghU+lE2fzaU/reoUDksijCRBXSLplwlFlHlJFVy3Ss6I4ZeZeQR8I/xs9l5VcquyTzTaC0/T4izq6mqQZJtg7ZZWEQtEvk5zp30ZOfTWDWOJrVhA6saNEfZpQccX4ZgJcOw2dullRsU6SjQSpjgOxMlKANdDGUwkbg7PVr26lRJbQYYBfBYc1B1mR4e4xSIbqBjfqrcm5orZCuo12Xf656e5wbsieJ7aNRzGqDVfUSnP9jyZGrIlbySO/SGffpjJt4wSgLPuRbfMoHnEuHu92FHm8y/uQUVQQS1GD1Pr+ZdAsqVEJLcsXVzlNA7ZIFw6Wdr8YAeMfEn+smqWtejAvQHcmbXLqIulgyJAosAfFE9XMXhYgXNVuviu45t/HHY1mCaQFme+TKIg0AE1MToFIsar12QHKkdYIHPg57886OHb8lDQ4NddhariwGAo2/2YoCwo4817a4PtNIf+Nlz3nvVAEGYNKCn5BNTbMA6cXOa67Xa+3m/0spkLys43eagC5RIC0GrvM5A7sddMdAF4bMaYicvmOxs1bIy4nX40JrlkjIvEBfTsDG1kXGEeitS5sS58zGVguXyQqc/YqKCaBdUB/hxbf2DAUNAlh7BcaCriuoGrDUiIiKTgqe84jvT3d4PI+oUyQapPOqPNe77iwNddM4+ZbMylRIuTHBRBWxLrPpQqj/1xPvdYxpEGi/wlS961uGsCrQemJaQIGoTz1OD+RaRUtuu+Omam/3oTtmm1eb56tMPkOu3A+cRlOYpNUhtsTLO3FNK0FM3bjjmJGi6F6KFYqtqG3FRyKEvCCYUOEqr2I2PBe4iwKAdf8roCifCEXqAvedUDghWci1/0LanPIgM3jCVYE6Rsi7N+RxXy5oaqoAEUOHiDxGxCEiDgmNdhEEy12PMgrSS0H3slwVzevQoXmP2/fFM/djT5yv+MhLWe+LCMqYUPuAvIuYb83u6KlQ6d844Cx0MEk6fDcz2TTtifku4fRlIry0BzQq4oXd0PkmoaigqiCIIoriY77B9/keX6ZnRKkoGhCDXvtnjtoEjDiOBMkEIR1d4OOhRkF+2zMJGyh8OTxk9D+egSW0Dn3eRZRezP6Dn807LyCt+3Wcec/zmwwZC3aHCTFWvDzsgWPCOSo+d7eQc8Tt30Vy/UxrY3hQ3PzjhLyPeP51h9oB4yei0tKxIL3MVsjgPefex3GTzth4+npy64g0r5YAMgouYjZR7vZgsZAUxc133E98r4qzoDuj8eK3jhkUw2TXNZ055yhSqBQxs7Hrtm+liKFduNYhC/TjQJuXx8Du8cX2zy5CUkDdiFLe/6eKswRMbwX4HHGWEWmhOJtUYL7jsx8+C3bfaROi1H3Bu68f8cX+hL/52z/D+IlxNQWJgPjbF9wfLvjw9++w+6cIKUD3Qtuom39ilz6dE86f7oDbivDVBSEV1L+kYu75NBBuOkWEsyVcAUSq3E54c3PGtCRMS4ecA/JCbY6Xy4BSA+53F3x9+4z74Yy33QlLjXhZBrzMA7r7gt90n/B9f48xZVyQ6N9bg6H/rNhwSSz09EQC6jnhfExIjwnds6B/Urz96xlhqXj4ixHHXwbMd7T9KTng83d3kIUFgNoRqov7BWWyPauSI49AG8b4Q8Tll4Lf/Pp7pFDx3fMt/lBukULFTZow10RXCVF0qbCJZgrj07uEc96TfnRhU4Z8V0W5Lei/mJgylXjVg1nmCCyC7m7GX379AwDgP4YvcDn1wDlCXswmaOQYevrhBk9VMH6XMHwCyqeE52/ZwR1tbO5+VPTPijxwPs9vgHi/oB8WnD/sEc4B9VCgXy4oHwa8/xvejw+/CHhzOOMPX/Y4YmDoeorQEIGOnek8JTxOCaGrGMYZqRNcKkVlz7nj+gFg+DGgTK+QUX/k9acLTxVadlxBOK0Cf2X3sYVhbiGYsMDOBUx849sez15u6dCM2l8nCh5QQJjgbnNkEao4+kZt9iTOGXIYZ/upwPM8oI8FAayoPJcd9mHCuXSYa0Sp28owVnGFBCKjfGPzazVoEoNpVm1gksYNsmkqon49olzkqv3OLSH0VZLVBB4MtsUKtzUU5oAaImSyyp8bg1ulMU7caAi9BEoLsNekNmwCe38WEgz6bKqbP/fyzjRtgNBgog47JicXrWMGgCftHSlTpF7VHhWwjmvI1XiTK3/i6n7o5rksgjxH1HOCzAHhHCg+VSw4vDI7X4sj7RXiTzpsVy8X5vnZm/DqWK/HrL+KXv/NoGvOU28IhrCZP94tCutnm62Ki+04DzfJCrnadmQVKCXgKe8QRNnFDRHPZcQxDzjlHnNOKCWs0Mnt/Zafjkd+PyeXXs1TXc+5/sx99uumupEjKdtHW9fUx28QCpHUwG5nUD7fxUUb0Lq4oXhV/dW60jqbodWkPOAFYFDsgCqrwqzTDwSbczJqQvNzdgVpP9a2W+bP3hOgNr2qvceLXIGn1L4X2IpeefehCs8hzED0QNXV0zNa8BYXS3QiBV1er7HrmLBETg2N491Xg6j+3LqLIBQMev132Brva3/YjM8auNhKsE5aaLD7Nr7h7381x3w9TWG1aZO1GHKFVFAARQgXyz2CVLyYZPwx9zguHOPwar/ds7Yu2X7DTv8fuWfbefnP3FPBui5ejcX6ymYLaAEZKRugcFTmd3DtsmLGzDV8a/XmCWzYFp5kFQmSsPnOzXhvAlb+eetSinvz2rVQhMdUY19dC0VwCMuVVPk4LRF2lIuYH+xP7pdwzdANdJvHl3Zt3v3zZ6Mmouhw3jjb+fuxo23s/rJ91B+IBmnzVQBTEQ7rniDS4ObbLq1zqmUpBGqM3Yo+8OcsAq2KYBBf6eNmLcNP1iPvmP1kTxVs1nBPsuzcEvduVMFl7vC4jPjRurcf8h0+Lwd0UhDAcT8tCSXb9VVAijSf+nXv9A4kj020yFpEaqgSsfpN+//rXHS+d5g5zlzrwO8pD2R7bxWoddgAQBeiFMjPFnYKfXxbfXeLJPJ4Jy7kuLvSP8cwLyqY53XIjF3C4iI+hoSxe+5Fcj+3OHMsxVltbdU1gc3VUGZEzrX75qgdXTexprtg9+/qGas/C5+/wgZSsBus/F2YN8+qrOfp4227F9Phwq9Prj8DNCoXhGhAyTamiuDlNCKXyA5h79Bk7rG1CnIJ10gVO+8r9Mw1gAIiukoAmH9ze4ZmP7RMCY+yo/WV2V9J0A1LxAo4oaIPjM+7UNAHWk1VFTzUPU5lQLCbnStRDj63VGAWnZsTWASyBFtf+XzKEJoGgLsi1DlS72NhIb09ryKr5k0CtLowGps1YQFkDrjkDiKKOSfkzOT8Me9wyR2K0R/Pyvd4RzcvLMJpICWJazhRLMiCZdoIbAIIXWXCHAW6RNQa8DzzfsRYkfqMZSKnn6g1uZpLru0QzJ92O081sMCupv4tRVDOEZONTykcrwI+e79vyILTRLhCHSrvyeRQfT57dZREk74RqCPz1MaSXo/h/9zrT+fkns48jHWcZDZ4W5egHSCXGcjgpnaxu5XaFfAnRsiOpuhaKYYi7rn4ky9Us6Zg0KNjx4VhKUCmZyBE2DGdFyCO0B0DoXxIxuWLzXLDYYh5b+JNe0U5FMhTj+8ev4TuCt588YL9MGMIGW+69/jbl6/w4XTAkiMuc4c8JwxmBM1uKitazmkBwI7DrmOn2YQamppmpdqylIKy77DcdohTRff5DKCi3PcoO9oZdC+EXDtvt/bkWdKCR1Csmg8FumcuhvklogwB6Uz4xRZqQwEIdlzTw0Qe2V2P2gUsN4QB9o8Z/ecLOxV9vA7EbOVxDpcHC875Wm4SQlaMH8mxjucFUhT5fsCyT4iXguEzx4Ufl5xcdtHCeW78TgCrVZRD4UMwW5oAldQgUi3QK4o4CXbfJdQPEd2ToH9mxbyM3CjGh0oYtUHopFTo6QytK4dL9gOkpmt0AbB2b7cQ+lL5+75jEKkKLAtExKCMNq6bCrMH/6HxHSUEYDeabdAG/dCCK79ZgNTSFD8RBGpjgyqfrFwvB0JtltuVl9sWtSw4Hwf8ux++wdhlfHPziNs04TkPeFkGfDgd8PHTDfSUMJ6l+QqyOMSqfQALDuLn5sGdT+FauSF6oF8KXHHZxcZ8DGgKkMjxQ04vg0aRterv/D+dgDiRc+qc9FCkdbX6Bwa8/XNFOld2Zl8lKeGcads1JpTROODb7gtg3VoGXNturyecUEKOm4BUqXz2zpnOxjncJM7N0xtY+ZuX5WqMSYzsclnXQAUIpjGACsQ50FLllmNv98Or5K5Y8pOB4ZkVdikK7HeQUmj1cxUpSkvoyNs1/u00c03uOsjOOg6ZPFk1mzcZx7VA6cfq0vX96rsmjObJknuo62GHOnQIl7lxHqksbYJVkZ3eJuIUXCXfeGndWsTJo3WLLDmMJwGQsCwB/5TeoO8ynpcRu7Tgu+c7PL6MKEvkHjILhkcK8TmdJWRFHVIrrl0hi7oIpA3CodZWxFT3PvV1ATA7JSDMBekF8KIwAwLbG6oiLkzYXZlUqjRonyvTxokJ7vi5rnBWBeK5IEwZ2CAldEzs9rjPsDK4EKxceVcwjpOie5yxFYILpYPUhDBXpBPXcReP9HnBTmYAlop4mYFcEOeEkALn1LSiVTTIChF2scENJ7d2xlEVD2g4l0MG8LQJnmwekkIA7D4WpHNF+nxm9z8ESN83OCgAos2WugqKWVIXTgukVkRT9YcpeGsMqIdVSGyrHyBTQfz0xHP/5Zt1jwzOQyX6avePE8XZVIHakwN78aKWweBNNT3kFVmVRwbny00kh3Qk1xwA+mfeh+k9KDSZBQ+fDvjrGvB/Gf+3SKHgH45vcco9frl/wlfDM/7m6Ss8fd4Dl4juTE/O/tEsA2cK44UMdM8ZwTqMGoF4rkgvi43RjmJPQEOxkIO8JgZePElnRf+4QJMgnbiWLQcKwzU480K7mNIHTEWAqIhPEd3TGgSHzMA676TBi2sSTO8pJDQ+cFwPDwviKaPsE+a3PcJc0T9MgAjybg+pa3IeZ8XwRHGC2q90kGoWeCwmKvY/ELobTCRzy0snjF8aHSjMxkdfKtLLDNSKuu9RU0CcpBUr8sg90uciu7tALcAq0hWaTZNGxnjpRVoC0pJ+m7/k5K/aH6EVvgTpBdh9IPS9xbu3Cn2zoDwOSJOinBXxJAhTxPjXN0gnxfiF4PyLuhZfANTv93jUPfqnTeHJ4oLLe57v6VcV8RdnSAnI54RcOz7bCvSfKYiU94p8o2vBogDdfxoRzoJ6o8h3FTpUjG8vSKk0i8NcicbJGtBJQZSK3958xLl0eMo7/A+P/wYfphuq+qpgunTIcwSiYrlTlNuKfj9DVTCfOmAJ6D9HdM9ue6Moo2C57Tg2jOIVL0D4Q9+kDtyyLJ0ozFW7REG8sW4qJkz8uiNQPwX87h+/oLpwFYgA3/V3KDXg03lPEagcoKfUihxeeOgyz2v882ekWPH07S26h4jhx4TwLe1/6kABuvLLCf1+xnLqEI4Reo74+8dfAJ3i7ssXfPnmBX/IEXoOFBrLEdpVxDczQqgonw5rkQq8zv6R+8vxG8H8tqL/HDD+SBTRzd/01AYaGINpF5CHCCTF828tDnmOeLy8gQ4Vsi/AMWH4wAE1fQG7ZwBEoYX2lXlJSB87RI87rZHozch/yetPT3JzRvP92gZtwc5g23lyYZy0CZK8QxUDrmT+PSDYVnltQdCgQEXbFIEKLJYYuNqm86eAtgET5mcdLa/2e2VnI2SBqJAzyc5ZgdOlR1XBx+mARVkRmZaEXAij0CW0blGrXFmFF0Xh6re+kbsqsihhohSzEFYyIxe15odrHRI1wRtZKpACarCFzypOABqkzfkA0TqUAKtM6cLJ2NQC1arel9IsjNZKJLvLjecyFfrvxc3zFLEkDavXIWwgAq2jQu/FgpAroX3euRIu7MF4ey6YxM8yaF+Fi+zYDm80qwmY6Enr6lh19IorabBsjVR1HB4Vy842JK/8T6t1EwPSgiuf3BBwld2/RiRsOxKOUPAgyQTWNEYmLduXmjWRX5N310RXnmKMP/m+17xAD7lVfKNez9U3zK1oS9tULFvVIjhdBiwl4rHbIdeA4zJgKrTK0kukp9mryjGPj5VLWtbrb5A9r1D7+tByOL3ulrYBZN047zpZh1uBlnBoNF6ed+pt+RBTPg7WxW0oBffobHxnu361gLcUaIlrp7bU9Zxh4AJ6lkG9kOKBaVXmXMaxl1Lb53UDFb0ex57coY1ddrfr2llWW7+CQBCApZCmYYl/9E69BKBagc958wErdHqGiVutXTc1xWLZrq//3Kva2jAImk1cs9raFGG6xLnj9mde/PEx4SJrTldRNQ4mWoKkS+R5BVnng1vUbc7X1z63/fAEt3QeeGINoougLoAsgnlKqFXw3HO8n61QqYtVi6s0izPv/Lg3n8DWJo9hlOv7zzV3CeN/Nbb9JUIKS/NSD6By5fYAugaQVkFy6xjn/PGZkn8YTNmb16utELhSYgKFCx1BsUnY4B0msR9dO49tPTNRKvdubtcVAAWf2dV9MN61AhCNFC1bMp9r3MYHaGOk7WdeTGrPjyq1rqEVluv76ntfnEk7SedCSLwXDGNYI/TtNW8su5gk1OZzHkql93MKHMudUT9K5V4NT46rFdRtfbC10Lub1ehLbc6bSjdgolRgQe81uuYKIm4Uk9JLK9ATGYXmbKXWadcp4nLu8e35Dn0s+DztMZeIMe6RpOJlHggTncLa5ZuZjIaNPkdcTCAvCCoCrzt7V55ILiJB7Lkl2i41n1x/NmrXq4IoYr68K2pGHZVg/sx1DkDUZuniSCHZjDfYeVNQj/FSuvB8w0S1bD10KAO71V7oiXNl0m7d6Tjr6nEcI1zvoEbQRsnW+XRhnOMJbigskogIaoqtg+1CceL7zcKxJLly7hX7PIz77J0pBRyWr3lNGOtkAkadkoc747rz/CrBdarAz71cfJFJnO2xiUgLR9VRlFGADIwfFcNjwXKTcB69GMM9Pp2IhGse9BZzEcJua/FYsRsyLhcmkexss1Oajkz6XEBSbBuRKkhHQoUBCgCWqAgG2xWhnVRRob1hiU09fDCC9TEPOJcOL3kw6D6YOC6B22yn0K6i6wpRA2YVxKIToHsWzBWEZnuhNBRhPDkBEPMPb7obdu9m4eFCRVMNbsEZjyMXsyILzFUuc4fHacRl4b6kmUjDsEjjvvLm81nvhwW7bsFTIC8xzLB7CeQikEFRKi3oOGZ5DuESmQR/IehCtZ7MpmAUBDHyvkwRV7FiaxopaMd5vyBfSJ2TouieOG/me7SYyD2I88FQnLMgLUBOAomV8Zxz4jPvrYrlO1VQq6AWQbewuNBQOy12/flx/vr1X0R4SuLIjWvof14YZxukRAuEgAbZYtc3tqBSc4G8nKCXCTIO0LFfk2cRuC8jmtgIuDFJZRAYAurtyMVql7Ds2cEtoysS84E01T/3C+05McM+o1ZBmCODok8j5q7H3wE4DDM+P+8xHXvgEpEeI4ZJ0D9wAXEoTX+sLShq98q4piFXpFKhMdB0Pgi7BMbJjRfj5wwJUhXd04z0zKCv+T3aotrgS/ZfKYrhgd9KCK4inZjk+YQEgM4CIi6gps5nMvTxuCAGQTzxHofJOoVerY8BZUd+YJwrwswu1vjDwk1n3/F8hrBK76dAZyN00MqObpgY8FTjQ4VLplplJmczTOywtUA3yMrHzoBDdLeBr6ginrQJXnWnSGuFA/k4/YtaN48RiFQTzMq0QxDvSt0c2Ln9aAf2ICZZN9cgnGodWqBbCzV5o5SrymTZq6uetPYmY1+s278s0IXfIUO/dmwtMPIgu1m5dOkKmtQgYsaHqpE8v1Usxg4nthjuqEpaxwp0FXEouN1f0MWC49LjnDs8XwZc5g7TsUd8ig3+SnEONOsnh6KrzU33LZZcaTFhgawa1LEJUYlAnVoAez+A2sUGz2/nbcEHEQto/FcKnHgxZU3sHIbWne0clw3s1F6e8AEMcKRWhHNeg27XAtokpqpoRZXmTWgJuCfHzTpJFdFsQLYJ87oeVAv6GUQ3Eb2tj6x1/pu1mG10jUtZN/ff4/gGF4SppNIKRHJlIj5nyHlqa/YVXHLJaDSLGCGHA5NsRyBMc+uOeaIigykoJxapZLF5oYlrvapZW9Trfcm5h6bNIAstgVArdOjaMR2S7F1iwqfDCmkyHYRlH7DccLwXszEpO5jnuQU3iZtvyRGfnvYQAeZjDzmZGEyhPQjhdlzfmEjqOlacRlDZJUGuLYhuhQ8fviJU51Umnc1X1ykWnmz6z3aICOdb/8xORx55XmFhQNW6l2ZBReoJFY1b99YtefyWb/xNNWBN3AAWa6aCvhrc0xLcsu9aYSMdl+bnDgB112GlF1XEU4Y82rPOBQ2hEgIw9FSdBlYBv2Kw0g6A8XZDrkxiAr8jHVfO4nLXWac7GILJ5wAQL9WsbzLndiuYe9V1FbuSXA09ZZ1qKzhpCJCO66x2QD0MWG77tue2gl2xgr3tX/Lunvf3ktFvOv21i0jGtVze7iBvduSGdoH75lTgMGMIu6WedAHsLi43xs+WVXDLdTd83rt3Kn2D+d3Py4ihZhy6GbskeF4GfDgf8Oll37pDYRLjdVKzoAyC6T40JdN4IaLFx5WLcYeZ69xyMPQUArIXQ6qSO7pjEjPdR8w3O2xh2N2pojsqpruIfOC5d8+AngTxRIGd1ZIQiB5bWZjX7Ho6QR44Z0Oh3sVy1yPsklkCWqDuHvLZtEM2+g7FOuXzDdEgrZZthS6A2iEqQPdSkea6qpB7XBSFhZXCOCLMHPv5zW4dNxbbJDV+tdcGF67Pl/cJ8y2Tju7FkvCLFdWMf+783kZ5qXS8iC8T3E5wa6348BcJ5T15t2XH7nEZgcuX5DX3HyPC9zvsfvB9hMll7RTPfy54KYn+rC8RGpnYhQwMHwXpBOQD1yWiUFiYGOoekCYAAQAASURBVD4BvXFy69/do+/QLJHyoUIH0zuwZL1/cHQax0ZNwPSWya+LQs1TR3vABl+uiFHx+bTDpwsH0PPUo9aAb+4f8ZvDZzzMO3x8OhDK++OAbhbk24ryLqPbLdj1C46XHuExIZ05/+Y7ijiVd5kQebOZhAIVxgUf1BJ2rvPnr21fEJsfBQhHFry8CJBvKp7ek/u6e3Nhd/nUQXPA5WnA5WmAREXoTBDudQo1UNRKiuD5373HMwB5V7H8YkE+RywvRmtSOAMSy8J1pyYrxhWKcJ7+0x1OcscCuNssZiaaeSb3uXw94eltRINEV+D8C2lJZnjoIApMb5lEp6OfpyXBY4V0FdIrcGBMkacIGMwbPw5ABI6/NfRkFqKoirScZJlZdK4dhbO6Zzbq8s7G80ZT4J97/elJbkqmsCxUOHbhFA8ANy+NHrA5wZ6Bg/YJdde1gD0sBfHxGXq5QPrNJrqBdTYrB58fvqGWBBVFGRPKGJtokgu1XImSJGuvd+CG1mlTdptTgkYOqvQUoSngpdvhMnRYXhgUpZeA3Y+srvXPar5sZtFQ1mCnKUcajDFMGXKeoX23Jrl9aMFmNB897SJtCZ4nyLyg3o4oN/1VUtdk520xpwCArn8TrBAvrBt1nFc+UOtuG5TNRZ5amhHXINM9gEsfaLkjFmScC8LnF/vADWSXmhcirMqLQPVkqYJwmhEuC3Q/YHkzstK5FEgpzUpClsKgG7AgSqhcmSzYrdKSgZW7RSGG9DSBHoUMikJJqEkQJ4dsAqIVzhNu0Lsls+iyG8jz8sPmQmyWez8DhCG7d6kLS+lGfdZ/jFcMNYutlFYLoGCb0rIwOY6R37+BP7v/7lrJ3lgI+UMKaN0Dt5YqvbRgvd0jYSBURloqIVVIJE/jdpgQRPF4GbHkiOO5R750wDEZXMT4OnWt7LUOqSMOsM5NyVb5DyCPMwBY7FnCeOm6yTyLQlCBjh6hzjPnWJamiumBR5yxFn2CkhYBLtjRBELiXNvzbR0bLz44lNTGONSSgyjNNoT31t5jSaiPRUttr7rmDb3h96QUyOIFAHn1/aXZ6rSOr/NOvZPp9jie6Io0uGyoSgVoU2fWYDZpXh8RJmnpZeHm5Lz+pXC8pUT4b9hcay7smCmFzjB269+qQi8XQpzHgeu+d2S3ybmqCQlugt5p5hzKmUlHZ/uGnUMrELnNUIxX168xshO5GOIkAYBv4tLoB8vtZpx7Mac3FUpH2VSr7k89x/IpIpr4iRdJXCWfQXa9tptyhIWynRtqXbulYoVNL+p2puCrlnwEoPYJzfpusfbH9uXfIxz/3czxrcLOT3e2QD04GsVg1bMlmefFOqFh/T4wAWuJnz0nFzNqgm6GttnSKOpAGGn3vKz+9bm0gpZ2kQXCTLi9i43B44GwQpFdcDFMS0tykSuaAj3QCkR+V8J5gZwnhP3IYmnP+xCi8wg5z+MpNxSFozaYW1hhZIvMyQVhzlDX1WgINLDwZjFKGRPyIVrhSpuYpe+bEBOGDAO/87yQlmVrdkgROnSofcT8bmxKxbDlgH6ztnerQmYm3SxQ8tksO659wRAZtGzRlngDYPHG8cGB131aOlQV3Pdn9LHgH5/f4NPzAdO5Y7BZXBSKCUdcFMs+YL73mIYd13ixcerrX3tGXHubO4IH+Hld0zWYV3W3xl1hIZqqO2bMN6SOAYRLqxjty+avBqIVhqe1gQBlhzEdM6Z3PeYbFtdiIvxTY4AMlrB6Y8AQf1I4V1TR7OAo4EMYeO2BFQlmRSdhB71GMZtF289rhej6HZx/c4sldIhYbgYmwCcmvmJ7QxRyvgHGu1IU09vUoO29JfXFuoauD8DOPtq9JRy8sGjZJRaRNnH3+esKOVQ+J7OZpFhQgSbF7f+HVkzd2ZFOduwIXH5B39jwEpGOLJqrWTf2jxQfOvUB9Y7JXzlUBPPg7Z8Vhx8KwqS4vIs4fR2Qd0C+QbP9cr/57ohWsFPhGp5HXYuSYCe2VkE131gEYBHFFDscTwOg5IWiCg7DjH9z9wdUFcynHnqOGB9YuFnuFLu7C4YuY98tOE09uhd2j/MeKHsKOd28PWGaEvJ5Z5IRlugOinqTgRwghYlsvitAVyGXiHBmR9IT+HjmNZ5+U3D7y2cMqeDN7owpJ3y73FPn5BgRLgHlUIA3ZY03tltC4v1NDxFv/poUmu//94L92zMuY4/cJyKQzitConHbk/KeVeYB+w8BYbICxd74wpnzKi8RNVW8eXvEzTDjZerxcmIRO6VK8dHv9+geuQYvN2w6xInHr53SazlRoCvGinFg42gaEkqOKB8G9A8By33F8KsjRIDjDwc6vhjfPCzgsxbLyzoKm4UFkJE5W/05+NTPvP504SmgJaCSC9SyKfHfb3lo/mqBuVh1rRL+ZJugV5DFJfi3iY4FU+LZWhZ235bMToJD4ZzjowxSahJIz43dk8SaBHmHpoxWO+WgXSLCmKFjRr0kxIfr2yTmE1V7bQu0w4d04PfQTkehniwGsFukoXH+WtCLTXDsMK0AgxIodEfPxdpb984SWwhhajorYrdCmLyjteyF3ahNBbXBeMvqF9ogqJakMNDWNZkLFsw4nFBYtYwXnnuNAhki5H4Ph2h64EG1aG3X1+CcrsSbLYC0ir5DyBTXwVh7VcCtl2Ra+F1WUCH0iwtPCyTtFsdzJQDA/VGzAIgQ5b+DJzxeQFgyrnxy/9jLLYE286C9PPGN5h3qr7ImN1teOoaBybIltldQ1597BVwXfDb8bw8QmOxaoDHQw25rzE1NH37u6TJCRLGYDUXJETqHBlO5+tmILF13nzwxtbEzRCvw+D0JTIQt6VMFxBeExGo5u7X1aqw36HtlcO8QG8Iq1+fsY9yFmbzgFOfaAlXny267y62A5ijKZe1AXyVrqECwpMWLUrla8FZXVd1SWmEDAIse1RKfrZ2SH9s7Qy485YlOihSJsnMSLx7UCvSpdZZFa4txt6jMuNTWvXMrisYZj8Z53KiIa6lA4txAjCxc+vkIr10ciWNQUO0S1+tig8HXadXrtRvgnEjpes5s74Un+RskA4sFaHNFrdBVh2R8NS90rGudc5PqwG6AbpTpNFsRxhNfWBGwYrVVa8UV7hOEU9kzT1xMgz1rDQFqfsAr/L6iwc8ne7ZeKOwDagqs8m9RT2qJiwkKxVlX0Rqlp7gGrCKBsPcYBPKqYOPHrUCYXWuAwbQLH0KkdZyaeOBmzPoxgvELXYW8XZ8qwpRZuHMrvCZytY4LwJIi0ZXDu7lm8eKGF+M2IoyAFWcMudISBXA9iJe1a8ZE2rvWXD9drXx7PQCgu54IIhFDNsw8xtitybiN6f5pafeSY8UswJpugB1TAN13ALp1j2vnZVoVhcghR2KUMa1FBgXinBHmTP2OXWhJMcch0KgcAUBQ+52u619ShIHKrOeZQjZdKKiaEUWxG2aUHLB0FbWQjiQdvSdLT5vHeOG66XPCx5RGQWkFZu8OrR3AliAFLxLZOSsTaC8+SQXynrxeqYrxobZirAY1X3J7ZLpSTgBPqKUhlcKiGJ4quZFnrvHOkZWizBcUWG77do7pVOgAMZguioHF0kVR86op0qyEQE0HgPGD09E4p1ZubkOeiTS0hu9jgMdFlcreXTTnA5sDgfFiPFMc0JFHzRLMiwd277eFKQCohx33zy6ibji58SyIJhiZTmi0OvIdFJcvlRoyF0E60RM+ZEBOwqJaR2HHsEgLYaQC870g76h90IoP9rV5z7HsVknTW8H5S/Nv31sSF2KLJdS2m9wB1K6xGCWAyVmk9VuIBfvDhC4WnKcey5wQYsEwZMYtth8CwO9O7/A4jU1QaX5jQkdzwOUPB5x3BedbWknGBFSzUUoXgXxKOJ3ubD4aRSXAKI5KESRRlDeGeqoCTAEqiroDZAL6IxO06T09bcMt15DLkvD7yz1yDijHjoiHpCg3jMXKMwtQ0WDqmoDScSykR1penr9ihzPMiuMPB3hb3zu1jJE7zq+OzQxV8nsxc+4EYTc978kDj8/c45aXiKUCD3PEU9qjzAFyYsMv77jQhQu55XmvKDcVxdwIJHO8pRfBci9YqqB0VK6GCvIncq1jlRaHTpceIVTE2wV6A5SHHvIcmCwf+My6x9AEFreFvX/p679MkruZVC1g3Hoxvg5kWqfCgsbJjNe7xA6BB/1dz2NP8/rZGMhftQQh2Aap0wzRjhtlCuSG2MYSJoX0gXAvAQRMdMvAyk7pFfW2AJEVj3pKOHxxwm/ffcLvH+/xdHxjwTzvcOgqalCUmkxsCUgdIOrQYdqbtA5hYHBEj1dARdAtZaOijAYxY+DGTdEXseocOAGal549OVo4VBTjG1NoqZpcfkdOgaDBTELRFkC1DoCpZ9YuNKjw1v5CO7NmSuwUiQL95wkyLSi3I+a7ziwDkkHasnWs0fhsTWBryg2mKZmd2mYPZFwoVPKVr3hjPnysU4p5Ac4XclxtvMQ+suIcBXWMjSNDEa6lwUjp/RfZMQcajJzHCQ1qJ1vhKQ+W/J548uI2WMCaZPpYtWQA8zWnVmuFOOTT50KKRC1s5o74cbavV4m0GrS3wWTVAwyBG8vnvTSrgOW+AJ2iu53Q9wU5B1Tzi3t8Ge10LKCYI304zX95LZLYRmiiHD6GObeEwX+unIcjxbfi2Wxp+sTz3V5D9IQutGQ9njOqi8XZ9ThPyu0YPACJy3pvWi5jfyeEsbJD4oI7Gw43IqjWrXrdaZozUYR9YtLnFiIOLYYlnQb/bR1IPw+HY+rm2Nbdk03wv3aGPbmVdQyUwqJHl+jzDLBotBjnVYQ8L0VLHkKuKy/d4HHigmoe77frsJ/trmHdrva9NibJKw+QvjNodmVX1mGoIpDTZbUTAohyuExXc0P6jsf0ru52PEfvpobrzroLeQULHvuE2kdkg0qWzj1lbX51m2LOWAGvZLuFjFWIpV8QoqJox010BroXDyjRUBHsrth9ry2mYHKUKSqTb6hq5BZD8cKAV+bMYlyXoNbVyYYwCsmCGWU33hMi8s1tXbZCD7D6kjehJH/PZtyrgLQXVThEXs75qiiDmCxRx8oJ9eHoUHt7DqKK9ESxpOvnshHpa50yK9Y4B7ajrV9D5Hh31tdGkbYHiFNAYgTGjoUw68QFTW2ddDpBWLi+p6cL5HhGvdlj/uoACGgfCBBh4PBoEvPaMM83PTdtAOmSgacXWrT1HbSTVkBJxwXh45Fjb1jRZtzH2eGOqJALk7jFRBudxuMidCrCwm8h5DucZpTbEdO73iDoTKy6x4zwdIZ2EWXgfqtGR5LAojm5cmrWHyywodic7wv60biJ5wHnQBXaJUV0seDt/oxSA5aXHlq1dS7zjvtGOtGChwrVhH+rADUFQ3sF2lM9L7bOEbnWXlakqcnmZccOdDR9Oy/AXe75f3afKnY/zrRU2gejkXHMOx3GBSS36CTvdMdL4blUKzoBWO4HlNGKs5b0Xt5TUHD3/UzxS+3hAm90X2AhRiPad/q6FPIK069jR4utjc5Mejbv4TObLbrrUXdG/TrzWZQxUfzT1mMJ0uDU/h1hUQzPVpSdtCXgfp/JayyIR9vwrCisKSC/GVuDJG9i7+5ZMFQr7s9M5MsAg7kr9DdnhGHBZepQzgnyknD4R9OYmXm8RvMRQCcWLy5fcn2NZybIEghVhgrmW3aLvRgzv61IvzwhBXJrSwko0mMrIlQTfVVrxwaSRoUs7OzVJAihYhgy/u1X3+Gb3QP+54c/wz98eouhy3h3OKELBcnoDU/TiP/46QucLj3nRaoIX8+QUKF/f8D+DwHzXcT0hSGBOmAJKxx2/EHQvzAJPH0lqIN5Bw+MO2QR6K7i7VfPAIDP394jvUTk2wK5naGPPdKRx+1/fcSfv/+Ex2nEcepxPg2oH4YGFQaA8nZBd1iwPPfoPia4UjPXqYo6KtJTwPiBnfjn31YgKvpPAf3nhOVOsbwpQCanOJh1omTg9I1CfzWR4zpHlC5AH4JReRT1TUZdOgwPLNqVMaKcQ4vzOuMFawKmdwGa1DrfwHIAwjui/1QFeQkY/x8jbv+p4PhVxHmOKGOk6WYR3PwuYvioOP5KcPmlzYvnDqWr+LNvPuH97oR/j19CTyPqqIj3M8o5of+HiP5RGyXz/9fXny481QIgg2j6ZrqtBjcuFcnGMq9JantP65asMCmJYYUxOXxvmyTDqmMameBuVJtDqTRltmDPq+ReAXOxqSuJc1+rBQihog8ZQ5dR94VQgLSJcBSWiNk/rdLDa9gkd14dBww+JSsnEViFR3SVuycJf1OdBa+hBlcalBbINqEOT+j8VQmf3i5SvqCHsunCAa0YIOb/1viIRhdauy5YIaTVu7HO41i/lxXb9TOu8Nm6Uw7ps2e19Z78SVL3+ne1svMnwgDGx5fBfmkNEDiyr+7f9vla1yn7RmVBtP/83MvH0FYc7efeY0qx2064iLSvvupgVeuoqa4n679/3eH5OWiGdYocin7VcdRVxMXH+lUF2sY4v15atU29sgq0jQ1qglP+k3W9l5tXs+epxrPzznwb73Z+uo4DYJN8tQOBkME27+3X22cIm2eK9T77PfJk3IWmrGAj9Y/cx+3LO4eedG4KGut916t5sL33f/T49v2sTtc2DjSGKw7Vz35+cz6oaEUYdW5WXWHXWvVqGbi6Nxserx+TxZyy/QQLOn49GxEsT9YlkRvVktlcCOcqG+65U1J8nfZn7Ov+RnxIlkyYdJdY7PFz3SZmhtLZFoa8w7WiFmAJgQVLnQKBXZJ2W71YCXDjFxtDftN8mOp2fK3LvtuktGuT6zG9tT9rHe0Umyf81s+b0EPyCdveVo2G4fcKWGkKfopFr/YYWLfXBX4aLH/73LZj39aN7R7crsXHtCMtqiWitVIHIARbA228des9aK/NGud7xPZ6tvv36/2ca6zRFhY0Mcn191jXAx9brlbdipYu/PZqLm3O0+dv86weB0M3/Nwz9WezEWqrHlvYs6zkm0fjV27XmiZI5HGAdYIbrNqSuCs6hSFlaiKcUETX8Qgb651CxsLxbbYd/W7BzW7CnCMuE5P4pUREUSw1oNSAeUkNXeNiQxVYi5cGyHB18pDB+ehd5IqVZwq0+dKGnIvV+Byy+9EU/9etwMasxR4ZQFSIfa8GQ6cJyNVX66Ta3C9DWL2cS8N+2UlszsX5t4beaX9vP74urs9zVS93ZI5/TzXrQb0ew23vWecjxwnXOjUXAk1WKHIBOMi6Vzn9ZztuvZDgglUbT/WtIFqzmKwbRIddk9OLagdMPZW5JQMyBeS4ih1t7xkKYewtufUCxUbfA4KGGgNAJWAbUw7Brx0TVhbSFUtNqEVYs/V1Vtcxx3uvQKpQUMdFU0VVChFlDU0xGaAA1Wnp0IWIfTcjhYqiglxZvKew48rhXZJSRdvjIWC134ILa/q8tesLYOLdV8g5IB0DShG83AxcuqZg1kwCNYhw7Zkk911GHx1JZZMmqRVqtM2DkkNT9t/akapdPzQgnQ2EZYWGZhFo1kRemG3xnj9PP685mCUVxwIq+DtFQ6SmM4+bD8ou7wlIJ0EFEC/eOFHkg9B6qgrFvaYIOIfWLVoNReoFZjFRO7kONwAFns4jlhJR5wir6aLmwONvkIiagDJwTG0Ra//c60/v5C60vFAT4mkdLw/KnFO7ZOjpgoZ5iBGy35FDkAwWV9ihE1sYCG3bBAdbKJtvcNsEAoBX/+OLmpJfhJq5fU0UKKFHLkxx1tSaDcKGvkIildyqBrwZz0i/qcg14DST/D5lV1SWJgJC6xqasqezmpBDbQOtVet9we8iRQg+k79U7kbUIZqQlm3mtrCG2ZLJUVC6aHAzDqCyC6jFBlZYu1sADeZ7gVX8KdJQO1bn45mBcTG+VToXRLN38IREhAF+S0aKrou+dZPCnJFOK4SJnw/QXuBQ9HjJCI+8Tt317CIsa2fURVIYHNlmBBsDjUNt718ypCzQsUe52a0FDFVWUk8zOz2DwSwVrdpJzmowiGdFPK6dWqhCppmIgBhWqLH/OWdonVrg2mDK2wQEIO9wmaHVlJR9I3x9PEt0WkLhUFizZBHvhAThuDFRqgYlNxEfeWGGq2OHcuj5/qyIWpF3FN1qojsBkMxAIwRFF+ntyPhNqBSu0jq75HHymRIyRhGYuLBQ0iD1sOrzcV6RAEJYbVwKNATUfUd++FQQLpk2G4YKaPGBB5O28tduhet5EMCHyjkUFv43XjbCXLIJ/i04+UkHtwU6m5XDAhUXEmrddBc+87fVCpl1E8Czc6VjtwpJASvMd14sqQWcw+VWLc5nVf/ebXDTfMOVY97VJAAmhUu2IuAmwbC1QwEb6y4YVQglmxcG//MCzZn8aODKKouoggQdOibAJ+Mk+LPp7G9LZtcWIAezVug8M8kdBiYNm9dVZ9upJWPPZP3TAzRnhPfvoLd7nqdZ0anxdcuB8FIpBr9WbR3+0hkUf0+OUB0UepsJR7ZXSBUhKGoR1DOF7vScoABCpTgVQDX9MBPaFxfnujJo1c45wJtipHUPwjljtYZD0xjQoUO9G+GCffCuXSkc37uIWpRK2Wrrdy6sqI+m8ny5znJDrg3u6uvuFVfWO6KmXg23Y9qOn3Yw/29Yx7vrEvQJQIW42NiOFk5UnreObZdIwzFFbRZMbb84s/XswmIw/m4bZ4Dxdq+TXDHk1qvUGQ0hIab/EQPqrkO9HxHmgu7jEa0Q6d3mRuGQqyOGc0Yq2jpvyzfv+J2eiBZCYDUKyu3IcXde2rGhitBFhD5QaMj4zuGZ88Xh0E7zAUDVX183lLaB/We5ShKlKPnqpaJ7XBCmiNp1KJ1skh+BDhXhsOCrL54wpowgiiCK9+MRX/RH/OFyi7/+8BVqFUxLwpIjnl92KC+JgjqG0ElHmHKpJ5FrDLHsDbX1VJAW96QXalV4kSlSLdlRa67XUb0jWg02nEF16IGPgWs3WlIRSkU0KCX3KsF8oFhodwSGyrm4+zFDVHF53+N8F6+ED6kzYsngXFHGyO6weNJN9efg89cREQo4TQoA8k1EHgOGzxndt48AgHq/R+0T4nlBnBYiSobOgn47nqF/SHuoTQhSg2C5icg7Q5AU7tMeH6bTssZASn5x7YWNFbUO7lQaHFouC9AlZOsO5wPPtztV9A+L8fxtpGyWjssXgvM37PgNnwLC5wgp0eDjwHJLeChRMIL9d+ws54F6BzWBQq0dECYAVSwGZZe4f2TBLl44ni87dkABoHwegAKkY0DMsGfthQSeZzoLl5a7iu5mbqiyWgKWS8I5B/zheIeqgqd5QK2C82nAy+MOEhXv3hxxM0w4zx3m2Xygc2DHugZoKCj3BacI+rTuC6fyHJiIPViimNiNLqNZCQ2K8HbG4XDB6a/f4O3/m53q08MNalKMk2mVSEAG6QenX2WgU9ymgiknTEvCNCU2Fr44Q0Spfgzg/GkH+X5AbxafTh/UwI55ul0gPyYcvi+mKxOaVaYKIcJDJdS/JqAkQ2jACr7HDjIFs3sS480yWe7+ied7+YLx3c0/VsRZ8Yf/g+Drf/MDvv39O/Sfe6SFUO4ageNvCsoXE3Sh1VE4Rdz9jjzf2gEv3wTM94rljigTWQKdOWwshgyEUyCNyBqIl7+9xzybTmUgiqA+dBABzt9krhk3C4ZxQb50qM/dT5sPf+T1pye5Wtk5U103P2BNBoC10lWdp7YJeLyL1RIp+5uLHMhG0MS7uf7V3uXZVoLde9N5vc4z9demKrV2rKTBNyAKiWy/zzUiiOJuuGCpkbZBgHUxpA3G1hEVdmmDdUsBXHWX4J0lxdrNzGsQfeUnuTne6+ttFRL7TLueTZd3rVQzsZClQmpc/+YdNkHjwHhltvqzMH7dtpslRlB3z9NtEtHUOC2ZpLCTQSZdYOcn42eT5Wy7PH/ste2QdFZ9dD5tYaAhIUDSZqG373U47Vri2nx3+7fxF/7Y93o1WF797ec60KX8/O//2HVdNfQ2HTm7/w0ue3U+Ppes5G058NVlXcd37cUagkKDzWHwzmgVuKw+gMZ/bbYFG4EK/l1fnY+sz7IoiyUuPjNtyngixsFd/70VTVrVgnFVHQawdrKKNlEg/w4fk0wa1vWIUPf1OwDguvyPq64oXv93u8Z4N6yNB/nps96O46oN6gnwHqo/ywaB9GLH5n7g1cP087laP3H13aK4nmd2nGb74+ft63DdJD0S1iKida/s5Kyqbcm5/9TKhLly/ddSEbzjuj3fbaeuVgBesGGBVOd5M5a1wbHb2mjWavEKJbSO7cbHjQZ1i+zg8vYZnC5WqMY1qagMfL2TS3EnaV2ohn5pa+VmP4MN88Br4hiuWDmhdrm2f3mCsH1GDtVz1IXA5tLrMbnmNnzZ2ttevvZaguvwWPi+jFfv9+8BgGL7Cur6vP3HX6WSd9t8rbeTX9bu9euXv6+J5IWfjouNkJ//bmuhdfU9Pnb8/yvRT7WPKwXmNSrij6zNtAoCiyxCcS3y3Aq8K45q6KouXH+4jdF1P2/PYTZBrRQhnav7GiR9k+Dy/bVBbK8O70VC9URQf7olBo7xMVE9uQ9MdO+7M+7SGQ9xZ0Vqdr6qUrRH5sDOcJbWtfWCoVvSePeO4n/egd0W08Bnvu02Ba7RV2u2xwjetZNNjCMe87x+MHBWWINpV+94bZ4PgMZRbt8FXkM0Gk3ZHH9VMl/PYYu0WxEb1+flbgst9rSikYTAmKj63/Cz46xZnAUmCLWzuAUen3kMtSL/1D4H2zfFfknk0Po9aoKg7qCgvhZtp7qFBkUEZVTgZoGeE8ISmse2W/KV0Y/Ln8ZLTkDNVM6oiWteyDw/h84D0uyofoo8EWDhZxxG26Drsp5no4IEihyFwNhh2VzLJSe8LANKDeuWUgKAilwClkI9kVqlFeoB7gG1ChBXRwlJFHmrDTlj98tibKceaqeIsSBFKo2nSwUksDgUpSEAJAMyC7RXYKwIPef2VBL3IGFzIUZaIXWRIo/nStpKWNZjtTUlACFawb0AAbQClAJ2pJO938eF8fObo4Yv7cXEoQAUTyQzCxK1A8oNC1Lpokgn7s/3wwV/6Eu7L2K1eu0V+/2E02lAOSeEWdC9kE5zec+CczV+NYCGJICAvGabr215V3aL04kQ6LJTwKw/NSnQ817uDxNuxgmfq2DCRhDzP/P609WVhxEyV/IkAdr/xEA7IRFT1bxAUoTsdqzgD33rNADg5rRM60FVW1dAdjvAIX2vN2zrArfqqgh016/JL2DcFnY/05lKYMuO1ah0AcqLWAscQAeEvmLczThPHf72u68IEzK4W54TYR0zKxPxYpUXE7nxwQRwcV5uIi08TqWJKzX4itjiZ4IlGq3V34fGw8kDL6I7mV+dqYjSt82DPwYpjbtii5wKUIdgg1yRTAU3XYxz50GbLxQpUATDg/CqCE9nyOkCvdlBbsar54OAZg8SprxyE0UA9KhVVxuHbMmZKsLz2W4Qu2US6Pnr5wQRGqf3EeG0ILzY+1siEKDGnVQPkMSSXfRrh8EWWkJlsQbtVrHWLmLZd+xAvsyspIZARVlV8gWv1DgzO1SDQaQNZqzezTL7LEn1Cjbv4jwiwjliXRZxqLUXh67mVL+erwiP65usd363icCr4LEJfJS1UhrP5JaUAwChit4pdEixYuwyztqhlEBoiye4iyBcgllRYd0Agq161ql3mHvd92i8a+Oc6+jcu2oLc4QOsW3OrxWUG6fLOmJx4t9cAbON8YLGJddk8CXhXGgw5QblXCHxAvD6fLy1my4cA7nwPpvQDb/c37tJLOv2/9vG7WrJALtXrv7tIkqvgiB2ZDn3dRyYYF/mdUzbswfMV899xvdjm7NXnTExTufmezQKBapSRfAALRdg273dntN+aJ031k0s8ZnmNQHx69naA9UKpB2Xk76jYFZeuZjtZYmwAA31E969bQmPXEwAaLfpBBtiBEEaL9ahbaIwFW2qstanQA5V6FAjN0hyGXlfahbIJWDFKYOiUmahEKyQsxYOV65v8K6+a0JsIeRwWL4Vi7rYOK3xOHN9PXSo0dSBHUJp498V9WsXgAQTx0Mb++35WBCIvI7fLWSfdnxAE6SzJAaACY2FtSi1GZOcH3UtLueC8GCd0SBck3zMWhLX1iKA48oTPBsjuh9bwaSNSSs6yfb7XZ3biroeS7QC8PZ77Bp015EnOpDfLJogy864vZY8nKc1Nsj1aj2XOQPoVorQVtTHkFY6SEtkNQaUmwHOf5dagUiUjUbB/OWB++vjGXJZVn2B4Hu2NF/Vdd1AQ2t5J6/uqcS83HaY7zi3nV607INZmAAIipoDvn+8RYwVN+OEIRb8cLoFALxMPU7HEVqB2BWEoAh9Qb1X6FOH8Xvy7srIYHn3g2L8XJDHgPnWxnsGUMSQQFxfyR02VW5P2qIgd4J6g1YQdX9pKK15lluxDieDcIdH5jEg7yLyIWK6j2uSDB6nO1qsY+O+mO5HvFTsivP0GP9Qn8RstAxV4Ir8vm/UJMAuIeRKLi+waQpw/HfiPtkV9c0NIIIyUpME+x4hBYTzgvj9A9AlLL98YxowpHLUmx7Tu6HtRwDFT+PMf09vOoSF6tKSncoTsdwkzPcJNaJZL3oRYniI6B+kJdQqdOQAgHSqFA+aKKBZN4WT7qQ4/qVi+SIT0vpj3/QHpALTO44BKYp48WCQz/H4Z4LTLyO6F6B75ngNi3kpL8b/PbALHBaeb+2A5YZxaTwLbh7FEJM8rkOg895gp9bR1QTkG4q5pjFj7BcczwPmU4fYV3zx5TNiqDjPHf5peoP7/Rn/1Zcf0IeMfVqQNeB3T2/xfBmwLAlaAyQo6o6dwvLcodSOCXel2FM/cIFdoqIuAWVI1kHn+C0Aym0BhoLlecCnxwGhV3z8ryM0KZYbZqTxHNo9GT4Kyl4xdxUVER8/3uBTULx5c8Rffv0Dfjwd8OOnO1Tj0GsVpMeI9ML7dHlvUGZD3mlfsVwSZK94+NexzYNW3BXa6+T7CpkF3VNoyasU4Pw1gC8W1NChnITCipMgKpCOQDoRepytsFUG2vgMHwL+6m++QThHzHecs3lvatddxfFlJES5ssgxvSWP223umLRGlIEd3dorLl8o5lvBckvBKgDMpbJwLNh1hZn5WN1bxj8H1Cng5ZTwkvaQY8TwOaKe/gXCsPgv0clN0TDXtkHWwkUjsmuIY6EV0GHP4KdLqHc7u5hCdd1iQZTbUVRLMhZLLDyg9E3PkoLGdXQLhxhXOGyryJlXaBDEmdDk0hH+TAN0MZ9NoAZQra1bcDkfUJ46JoEOezMZbllsUM9iSolYqzkWUNS48k/kyI3TA20FTK0wNFiBd2ZrFIOEEK7DildANDVNFVbEvEPliYGblNuNsQXHrjsp1CQEZfGAZ5PgipA3YVBm3+jlMkEfn1i0GC3I2QRI6iIk2fi5BjFEn1hjcFugajC2osBlurbYQbcWJCz5KENE2Sd0FlReWXc0VdiwbiItcNi05+vmXL1SF9bf1xSQ95GL+1lasiEpATlDc1mDLYDdqjEQduyJSy5o3bBIWx9x0ZVi8E3v9FnXqynbeiJsgWHrlG8tWZy36Unu5nf8g64wQOuKtvshaAlk25QS4F5utQqWJSLFii4WTJJW7gbAjW4JiLNVGL2+JJsgpK7cQADshsDndaEwRoOGVQZ8Q1i9BYNAdcVZOLyLAifShKMAoKZo12TFnFzbHKgGA92+Gs+7CWNtEt6wrg9tvth7ZMnQRHEjT2TasTy53aJVgLVjZZBNHlJaAH3Vfd8+O+N3y9CjjqlxrbbntRX1aR/tE5oliw8HHytbzidsbieiTjSFVfjnFe+r/d+UsNr3WKK25LVAowopNg9c4Eg2Y9qv28ehfcaLMex+FHI9Heq9p8+6XGau+S5Opcp/G/+fQl9MMLwzhsZpY0EknQWlrmuoBnJziW5gAccr5q7KzHV7w4XyaS+bH8V1Fw5YO/EA1ziENs41MVmVC4WnLFNgYmDju80fxWbt5t/dtki7gNyFdg5b+svV8/OfENHU1gEgaOuWeuJNdfe6JrjeId10ycX35FrXYrLvwTYm1dadlvA7DLpaktutAlcA1uRwe+5WtHQuLPdz22eBtZDnyW1H3mzZpyaGpEEgKUDG1FBFWhRhyZvEe4MyA2x96q7nvq2XgHcQAwLWwrRbMbmIHcBiRBkTlpvEgsals8Av2vyDebQqGnIF4P5qVj/i8QsATQPKPiEfAqY3pEMNj4pQ2VXKo3U2rXt+OfVELACYU8acE6GaJaBcjPMeAGhFSgWhzzi/pGbbMt+jde26l9LGJsc0DOEmDYXgon+a1vVGA5Oy0jM5SGeD0JuYVk1MfMIMxCe73QN/X3ruCXkXMN3bfLQEOV3WpMq7g7WzYvlcES+kay37QH9kVwGfSakKXUSYQqMP8P4GlJ52Py5i5uu00yBiDACYTJd9b7EU9VAwcG0M5wX14REyjsAv7tG620KK3HITr8Tc+mdFvBTkQ8QyRsSg6J457nyNrn3AsveOL7B2nTkO4iU2bq8/C1Em0A3RlFerM14TsLwp+LPffMS3371F9+PA7u3C811uFOUuIz4lxDNWTnKkYFQdFPiOiS4LijxuvFjHONha5grjwZLVpOieA8YPSmu3m3VMOeKm9toSdk2KMlZorxh6auE8v+wgx4QaFvzi5hl9yPjrH7/C5dTjzf6M3x4+4X3/gv9q+B6P5YBvX/5bzAthyl70Dn1BXSLCSzQhLa6JBUDXbYToYJ1bE0oTm68yFqQhI38cEV8Cyr5i+rOFSIrEiykhQSc2vfpnYAYTaWQA547L8tsj/tXNB0w54Q9TZKG0ED6czvSqrj2Qbys0KWRXuHbnAF0CYEkixcdkRVyAnU+5mwlL/hxMQJEQ8stXQDdkzCUwhlJFmgxWPqF9r69VXjTqnwH9riO0eQRqr5B3E1KqyFNCvUTaKCnvad4BYt1b0tLI710OguWOz3u5UcheUXcVMhboEiBnIkvU0siQmd+UQfkeBeQ5magZzzOdBP0TUM/4F73+dOGpcSCcwrpbsulySQVw2EH2I5odRYpwkQaZ86qo60mAwRml64C+b56h4mqcQOP5boNIHQduvs6Zs1e0yleNwZSQpfEw4qzAC22E8p7vX156PCwkQBt+jINNweCuwLhYIAHbeFPpAlaAClpX1UUE8i5BBkU8F3YDqikBbjovUsnZjZHnW2pA9OqpQTW5AfmmJA0C4IF/nCuaWEMVxAtXrGazsIHO+E86F/qsVUWDIFuyruMAub+DdqlVmhuc58oL1Z5LsxIpLTDdcrNbB8fUkTUzAfYk1W1X0stsEOvC578V8bDASYfYkiqp2rzMqKZoVlRWLdcoyIeI2vGeuKJoOpEjVbuIIMKAqFlgeHTLl/Qdg3Pn7Kp1sZxr2zqsde0e+HG2nQhPQpx3buNeAPJ0jW+7vdfteDFAYMWjbaAIHwMKUUaHNQrCEPhf4xhKFZQhova0SqgpIc8J50tHuyDjKro/YJjFRDaABldp43uFWLm4lKMYVMT4xGHlc7cVWRFAvruvPjVJCwB9bGmk2IH43+IaUDn0t7rHJez8/J5sg36/N9ux2HwZDFHRWZBd1wKDmO3KVffVvRaXFTnC6+Uza3DgNp43yfBrKNv232pQdAA69mvxYtu9xzrnas/Obh2JUvm5hF0ylVGdo0Y7CHbfxMcpgNeqX5IzpE7teh0tIV23Fnj83B3K59e3TXDt92rJk9i6z+PGa3Erh7j7+ZcCOZ55PO8Y+v2saOtOOhaEqQIwjq0hDKQwyQ0ZKJX3SsHKfCiboo094jBxjsQFiGeO7zQxSI/nyvUxV8Jinett69W1Hzr3HhW5Uj4F2J2j4r0He1assQKKd2U8mC59IBRO2aHhh/x8C/mhfu8r1qKFzUMKq7yq/OgGMutq4FsNjU1BsY3BrQK8Xef6PZVcXRHjv1qxw1AqMs2r9oJD8X1++NyJsvLKLQ6o5s0sS7wuqrqNXhTkXWr30u8bdgmhMHlpibvtTbopJLbb0XfWsY1cA6quYpVzRcyK1+ss0Vq1cYN9LHYvm++8ukfcf9t3xkAuZ2cFoRRog+gaF+eMriqAvq3zLM6va2+8COQ5UcBmV4BYsSzGF6+CEBR5FsgLFYVLoZUHo1jQk3MAWoezADUCyw1jnuGR8U66aCvEbIurGoFsHr6ORkgXRXfyIJzoqek+Io8MXA/frhZC1URxKHgDLIfVK1cKMDxWxMWSDhO6Wfam6nysLbkDgHiuCJOJfZkgYh2SzT1pEGDnGVdUUtiiUAH5qphMFwvtgyXbVBbXaOJOtlZqEGifEO5ugaFvPtJh7NocSed6BcfVABRzfHBni7yPELVkWISdekNhOpqEa6sVOG5WxwjvZrsKu+81tYuoslImpre0zfnDj/fA2fb+BNTBC1xAONPOp+wVYRIMD7CCGlExtQdefrUpAtrnAGC+U+SDdYGfbZ+OptS7A6Y365qhgXG2Rj53DS1vYbyxEFZ//rTD5WWAWoFCl4Bvn+4wdBm3uwm3uwm5BvxPH36Ft+MZlzcdjnnA59MO07nDuJ9xGM84TR3OL4PtGfw+XoOgniKeP+9ZILICot4VnPqAdBJ0z4w10h961NRB9xX5fUY4RnQ/JD6P2wLXQK2DYn5TkQ+cD/2n2GImFeDDd/f4v+W/wPnSMcGtpl1Q2dHGDYWcvNPsoqgUl/K90fKOjvMsXli8Ti+CjAGxmqtAD/RPtBftHgPOP+yJVlI7BhuwKKPFxrv1uOcvBNMSsRzWuV4Hqzh+HChrUixGtOemAZjeVWz9feMxNPRdOnJPczs/JELFIWr0OKA6NW4mlUI7E9Pz/ToLyr5C+wpoQveMn1Id/sjrT09y9wOTLufdbAIcAKg3e+gQsVUidU+9VrkHWrCvlwuT5dsbU00M3CBzgS4Lg7KbPRMqV7rtO9RdhyuTeXvJUmjhMHSo/WhVTf6kM9v1UgTTO/4uPlKpR0aqqTn3RW3ghQWrmmdHQ+UwrwtXyNp88OJUSWK/Y2LSBwo9hKVApmyw22QL6qYCZ5tP8wa1Rb12JLxTtCE0bqTzXsNU6GNrRYZ04jHTcTFP2chKpAiKJRLDpxnhONGKZrfaLYgC9WaA7Hq7h6/EaWLHLk/N7Ph2CToSRilzXrtUVdm931snuGPHSnIBphNh7f4yTpV/l/YdO/MemIkwIIkBZZeQ98ajcnuiIq2okHcOy+NEnm65gfQviu5Ic/bugSIh5aZHHiL6lwDNGSIU7JFtezDRzkovNF3HMDBZ6DoWD7bBvY9z/7cnHlvYngenHkTmDGilorWYNYsHaJ4oWHFny3lpUGxdCyeoCrHEXqogTRwnZeJ4qh35NxpBK5a+AworaBxPFgwtXGSdZ+PeuKy2aeOLNU62dd41MnC8CrKdB1XsWVVA1YRGxritJ1AgLfJ+SbcmeA5lE/HrQOuC+bO+UlGuWINk5yu+QgVI4JiqXaTIR+F7m2iOr0GJVXT6AZq2gEMd/XivuYxXCfI2WbXPeYHPu7oxcLw7MsGO0XxDLSBzO6/5PmG+CW0zBdbgI86BXpdLJUWh8nNSFSEGFpxE8P/l7U+WLUm27EBsbVU1s9Pcxt0j4r14HbKrRAmEKDYlJSUUDsgRfwgzDDHCH3DCIQf1EWykMAEppLAoIFGJQqIy8yXytRHhze3OOWamqpuDtbeqnevxEk/kpdQR8fDwe09jR02bvfdaey3eiH7NelmgNV8LSIl0KxZ/LCv3aiFFDzF2FeEtlbvNYWm0fcTrws9VMSCIvffMpPrNrQlwoXlQtsTikwWg6QAgUADQ+szU7AbiQJaKm8zXCPamAb0Hymn9F+4PISuGUyWl8Dkjnpbe+6kwb1ju4xQAc2aGtoJV3Y3AEFCHCJgdTZm6urIXQV1dv0yxBebepwsA8VIxPK6NCq0Cikyd5p5oejEAQFPuFpuv23tW7T+ZZ+J2Tn6mGC/S2SY+N7zg4D7fxazQXiePA+eZnOdNsrzZC70YYvNaQ7AzoUJH0rrJtPLCEb+nt9RoEqw3AWWQZjNTIhE0KQGj+66XajGD78vXTAndD0SEY2jMkRCEccSFtkY6RNQxbsavn7dEoIFwyYgv28JQb1cJa2kiRO7vXMZN8U8VEkMrWoTnM/AMhMsOcZ5sn7Ni5aoIib1r08dASzhToc0rVXJjZM+floDxE5OEpYIifwvVW0NxiirME5qxxXwXkS4V++9Io00nWvMsbyeUfWf41EFoARRIJyb1tmJ48lgOyLuIy58mXN4p7v8KePOXL8jHAS9fD0ZLt21vEswWeHNNKvbfZaSXjMtXE+Y7i1UCqa7Di51FNufiOSM+zdwHJlLYy45JZ9NsKLrptQ4Nmc4Hip61+pr5yTqjSNYC+fAASQlynNp+r1HIvHlzizomCjyOAtGEmHjGD8+ZlGJTHy8TPzMs2hLg9SbCfbg1EKUvkwlHznaumF5KGQVziK3oEBcWv9yqDLlCdwn1OFwxTC4/sAT0lzvzRjV/55GTOT4HpCda06w3irEA0ycYcEPLppefKcpPLqhrhLx0yiwE0EPGsMtYn0dIYTpRE4CkpKWO7AVNZ97j5d7Q4dqTLu8pdS9UeUqMV0brz1wCPn24QRwL/slPfoOfHj7h//HrP8LHX93j29sVa2Uf7svDHnqKGO7O+PO33+I/Pr3F6XFHyr0AiLQ5ijOL9/UyQqOiHCoQFfHNgt1uxcvHPTQNiCfBzc+5Z338Xyre/vARD3/1Frc/B9aD4PyjSKTzUIGkqHcFccpY3u9w/+8S4uKezUA6Dzh/+4YtQAfPg5gQl8lQbdiaLGbLVIjwSnZhMAWCNpArnTgPwioYHwX5AFrzVOD4y4h0Uey/U4RCAdJ8dFVnjntuIAMMCAROP/Kz0YoOEdBDgcwR+1+wD3nrZsBkXxG/PmE3rU0F+/S4Qx0HxEUwPEibizpUyFiRhsLrsL5lsf7rvCbUlW1zyALJocWgearYvb3gUvfQ9+l/uiSXXoHS0JWrwM4rv4YcdGuDa6Slo16hJw+vkwGAqJlTmgA7OO2buh3AK8REN4d4nAukBsRJrgQJ4mIy2RYEIYDeUDmS7pbUkFHpdi3KxUvjdFi/r3aUywRLULhh0AvPDl+jvTnljmhSbIIDLWk1ue+m+OiKt1bZE0+AK6kupaaeLFTzEC5KmpgL8Kz8XQx2b7bBTRNg0J5Y2vWJe756QFoBEQuwBqM4bpO6dg/tvRwJbmhO6DQ4f100Op3Ph03hxK2e1BQ6VaTNi2YQb2+TdwFlsrKxepXKKoiDIEwCKQHJ+hmbsEZVBtjjQORq28MVuasLwEJLNbVi/73T9TeJS6Mgb5Cuxnbw+b+dr3ETVH6fTdHrJAowKmIwgadqIicCqHQze0NJNXKuMyEiRUiKQM1A3BkDpMKIiVL4gWq0/ILWa/XZY4v2bKm0QE/uN0EFx8YSX0tcu2ACTz/dxtnt2noyd/Xxql0MZpvgbimmcbMzeiK8FoSKa7rwa+S1VktwN0j/Zp+S+vlnXX0ONmvDH4nUN08O9fXeCTQqpxoFVoOg7MlKyBMD/c/HYTNeanROcC9y2qS0PmFbWO1j/Xv5vqloglMiV9oIslUMt4Trs++QkiG56Tp53yK5Pkae7HuyuxnjJhq2mQ9OlfW90n8WV+tJsn48+s4yWAgKYOFzPcD3Ik5YexGnUYNfo+S+N1oxR+y7dDss+//ohS/0ILraTQHaz1+zGNz+67N76WPs/7Z98rPx9jHbBgCvxxDofdXfN1+/7+H316/RH9tCltGUnaHUfL/9GtDn0ZUYVRSo3Vif40xCjKljxVxNgrxnq0O2pKELhHFsnXXSKeefrw8AjX4tWRFM9XxrHXL1KrX/bPedV8X8zurYxDw+brnyO6Zg51FoCKgnDHU/QHLsBWIAbpkkRY2lBGNsgVQ9Y+booChZUFJEjhUhKfQSm4JxnAVqfefeuhIvlixuWq1ccM2F/OpGACuYHaGj53EBXPeBrxWUqaP2dWBhKi6MAco+oexIFdYI8wy2YDoDyESAQ4aJIEVDr7V97+bJLn7PtTMYxMciXCH8TFql63dg81o788N2HXnSVayodHskg0otUd7c57pLhsijFXzpteIxhX2+sUsgSv2X5P3n6PFJ2vSuxvZCNJ0JY6t5TEXNl4Q6BsRTpg89YFZMfX2Gi1AIEETSitcqHdnDpsBgsW0ZiaAvtyYiFMH+S+sjvXosAWulei9bQCwpGgtKHonA7bS5jwRrf2pjnf1+sIjTBVXtuoyar1lQJOD9+YAACsPKPkNE8eG0Ry6Rc1wFy5rw/nLEaRnsmoUb/3ZhG3KJAN4bFZRLwrkKsJL5oxEWRwKyBjyfpp74Rb7ek1MUga4BKxKkMuHcKiBzzQhq7S4QV0i/AJLF+rZJ/wW0tVVKAcZPYnsgr3u54/4QTbSp61QYUyHZuWIxU2NSJAUiGk26jJx3IlyPLGQB+Vg5H7NrELHHm9/fvuNo13umpksIFAzDSvV2VKBOaHkUAhBTxW5aseaI+TIACoTIJDeEChkVZQ3QhQytMmpjra4rgRuPZ3+fxx/ek/vdR+iwN6uKoSNa2wDeNvqGjoT+c1jlFDkTFXt3z3WUu3gAYMHprWHoItZTE2nFo4rggiUpoIm2YHPoVGD85oUHYzki3Eb2zUYqg93+LW/26WtBviHMP7z4BsSP9d6Q9KJIZzRkK66K/bcLwjmjHGgWzs2G4iGTJZjxZWWPlgVKbo1CiXkeAulckV6yeUr1fg0PiIotnPXADSfYZlUmgZSIuCiGp8zqpVF+w2Xh2KfIZFUE0a0OYtyIpIDBvFkduOVIvdkh3+4hpSLM2RIJJtA6JuhxsgDVgr/EKn2r9q+Z6KwFNRpYdcU0EK31oPB21wM+o7d10RQGRz6+qETK6xiwHnmwLTd2UDga4huJ9nu3HpWm7JMAOjU6E4WzVpSnJ4T7O+j9bQ8IAdo6jEYlLcYq2Ebc1mvsfentYUUZsYBfxoH9uqsdSpsE35NfNfTLf+fol9YKuKULOEayff9VKHwRAlTMJioryi5AamgeZTT9toDFNuGm0Ld5xEUbjTOd3f8RrZrcviIvoCMeG2pbV6sUe07ohRz7EzLXeT7EjRc0Wp9xEzMpvTKPzTU0FNcQfVkLhYp0o2AcQ0sAmviOUSzDwwsDyyHRsgZoFkANrZ1X9iiK9EDekC3Oc9INmzWUJxxu6SJDU9Vse9N+4vV577IXg7ZFkURVYR0C1gNRrPk+tB44pwR5X40fdOMjbP8KCHNFUCDYeGtkMbEpLJfNPI8BkIiW5ObMRNX7dM3TdmsBhMvcGRAmrKaJjItmJWQaDa0YsEEfm5jRvHBdpNQEB3UjliSqtC+xIFHNco2CK1zXsg/ULFjFKJOkZroyuAZATfxkeLagOnANpNnpkH3eXiOPXCPORNL9gDJMTApcOMgSgzps22lsCKxNoppPZh0sMVA033KnXrKoR1SHtbpNEpYCYNRIBsCVyVFl4u19sI0CP/g4GwIbA4W9Su09q1dFZW2FKgCduWAeoVePyWzLrDihKbZWhTr5+iDSxGKND0ZPeqlgDACJlGRLVOY3AXmSpvpbE5lMW0VWCu5wf3eBorBaq0utnMethWTDWJgGWg2um8QlWt9ttKTCbpzvL9sAv4l6+Rk9pqvinbcGhTlDTrPtB2QDVEsIWVipqJMgH/cAgOGRcQQidTe0ci8RqYgLiyYhUzSmjkA6B9JPx8g+R1NOnRZYjGJJrucVSkr+9MCxcIEjT6jcrkaDYHk7oibB8FIwPGYmVTsm2/vvcos7GPAGLHdhI4gjJhrFtfX8kxF5Eqx3HLf9+2p0aH52vJDyXYeA8w8G5IlIWJwVw3PF9P4CjQH5dmiWh+Kq+pEslctXE+ogSCf2szdUVtAKJnHufauSK1xIjKJW3KO9SFr2Cct/9g5SFNP7C9JpYaw0RNQUsL7Ztb5+tvcQWS2HhLwj4hln+wxUaBEs9xHzPROX/ccCKUC5DexbPQrK3pMib1WAUYQZG4hy7ZQJmO95Rt38OmJ6z30pvizQ3Fl3h98o9A3nyjyA9PYsGD9EhMyEqU4KWQXxRPTw8gVjhNPPMsLtCn0YMXwzNLTPk3UVYHhISOee/OYbxVc//oSvb57wb//2x9DLhPVtwfTFGfPThPt/M2J8VPYej7yuMtpatuR3uadtTznQ5gdFIJcIXCJ+tb7Dr9NbHO/P+LOffovvno/48Ot7Ju0Wr10eJvyP81dsOVysbzRRdT9Yn3oZgXqfgSoIz5Gigw8BUga4unTZKYWbFEhPAXg6YjhRbGu9Bcq7FSFV6NOAcAmQp2jaF4rTz7jXhzPjrnhmkhghGJ7JMlre1p4kg0Db7lvBegSW/9kJx8OMxw9HyEvE8e8i3v27jOUm4NOfB6y3iv1//oA/efcB/7+//gmO/8NkbRbmezuB8fC4KWZY4UB3PFN23wnu/q7g/DZQcEuB3XueRZ/+c8Xw0xfMzxPi+wHDs2D/XcVw0sYwffppwPKlzae/5efPXxbooSA+JEwfaT11+SHtlJAoAnlzvOBnbz7h1093OH93gBRBHoiG725nvLk54cPjEesDY7H6dkUYKnBOqB8nhDPnTnkVr/6uxz+MT27c9erlFs3zR0VHoUR6gPwa+Yud6uMJ7tZ7tdGnNoFSk7L3HhkLMjpyxPcXrUzahIdHWBlcVADRgnevcobVGqdP2miRvCZLcs9UPAb8deynbSitKSC3qq/39jja/Pqhfth75UU5NFmpECcbyBC4Ev9B8dfb70J/T3ifbUOC1fpbOyIoIUD9zd0aBUBDVvxnYVOS8t/bmNdEwZXwSpjl+n28zOSiL+EzNEcNvWl9J36vRVow5IJF7XeA9e3wwC2TB4jX49QRELGeERYPUNB6edhDuAlutyJP/jORazTVmQaW/PYgUa7XwOv3+L7HFukCoKq4ojyrXgVqqNvq9OZvSwhCYZCnKzd4KGNLtye4MuXWPka98miJbgbiunm+WqLrxRpPkoNXqDdzwMdC7YX2/m0EbOy2I9KmmcCKBGpUYq43Zxxs7bn8Wlrf5ut5uB1H3zP8USqTuS3K+z1IbvMf/b7fwz7zd82Z77mOluBuGTCbAqEaIkZ0ggcREVyjv7nFgdGGXJpfFJseZp+L1/OE677C1PauLzmE6+d/35oGuH6Dbuam7QlbNoZTtFuBAZ/1+F29J9DR5O3+4PfXxasMhZEA64e26nUG54oyIIuzPxetb1ytrYFUr35oN49QvxRtF8S/6+Y6VOmy5aI8eXNfbd5eOddZoqS+/7XS+vVndSE3zvvPzgtHoGxucH0YDRx6jeC+fjQmSLie633gP7/X/pnf93Pbl70IQH/70L67WpHCkdIrgSm/ra0Q4GwF6+szUaKyI/rBJJdBk0ovWnox82rs1IqwvoeXzy+dH257t4+zBmDEBg3v8wxhs6+19byJQ/wRNrGHbj5nO4+3n2/JpaOPGvsYtXsNLkcvMrp3KiAtCWIBR5ovumspOFrLN+FfcSXrrF2Gax1sl6RIoyX6tXoxU5QFZtq2RXOb2yBH9lmO0AK98OxosdP127AVRTyvkBIBDP3crrCCfTYGlwlV+tlgbSfqdk2Ba2373mrr1M+MbYGVXups53AKta9zCuqExoaSolQut/FxFsb2/PH725TC/ayzmIasMiui2B5YBzT/2TJqex7vnSDYkjViGjtMfM4EGDruyTkLcG1cV6u5q5+dTGRDlo7C2zjHhR9AlBLAWDFOGTNGFkqiQm19qO29TnnfxlpqllVtzgXFOGYsaTD1azVmnbTYdWtd1Si1wSa+iiWxtqdYjHZMC62ylgBZne2nQA6oFxCBXH3C4foRFDKw8ACN9j1YfCg781r3r6BES502qxGozaYOoBd0X4clCnQoXNcVUFM0bjGWL2vt35kDh3ZPxjHjZjfjZTehZEGN0Qr8/Yw/Tgt+tH/AX4w/6pRvl2oQWE87enKbtP3dPtePebsHbKGx7xz5QVuRq+s1BWhUItAXfvf1IiiJSstxsXmUFDJ6MzeQYsUhLUjRRVw2tyVURCGq64GlRG0e9+FiPbthszf9Jx5/eJI7DLQXGBKruH5oeWJ1XngPN+jElfomgC0trVV4x4GbxLL26nOMV1SgraqvvJwZgJaRf09GJbFDDLk2z7NwzogpIFqwTvPtYL1Q3DTSXG0xEiEErF/L1Yk9oDQ6zfJ2BHSkap/bDvhG7MhDDKglscq45KveCa/4NRn4FPg6p3cG9kesR7FNnIfX9FCpQBs8gFJL5GCIqqCGCWJiHo7CysX6JzMr2SGbcEgwcQ9QjEmHCikF6eOpW6R4xd4SPu9/atVzq+q3nsMYqaCqSkSs1o4y1NSQSj8wwkxLH+/t1BSw3o1EQGzsNQiQWBEvE1GtfKSE+ZUScOS/M7gIh0e1XgZtG396Ws2iJCB+9QWplZcZor0iqsvKIks0dMJQ3YbIbuyHtFTSQfdmu3S+EOlySncQPtfXBdADUEts1ZJlhbaeR4mRbIfteoqvel9VyRawYkAAK8zDIxH2vI+t8l6TB0LaNt/to3vRevCvbb6HUpvtBoK1EFSFoAcPTrOVYnPB1mwwVFWTJwJOF0f37IuwDd0+bzHaWq69SOZBi1kJhbV0iv1rxEjBA75WyPkajtLdCKkDmqCXJ8vYBOFAT3ANrW/Ue9+7hsR7BfRgPzJoa8/bPt8f1f4jRCSoMM1gN+8T8oG05PXAxNZpZEwELOG3Puq44opWzsPPAq8ghmgb08KucUs/1XkBjnsiXfMKXRa4kNyVOJT3KYtA6mhUcSty5c3YtAJbvdr/pSqQ7T54SXa/o97Ctoipvl/RUk6HBNEBUta2n+t+MgXb6TM0bXg2lGYi+g3l3IVyD9jqIHAOWfFvsx7qGIn6ed9lZYAma0W0s9h1J2ReIQBKClAJDeVVs7tpIoMVCLkAZ+7b7cAW9GJnkGuKos3FOHsxTaCDdBXiUiAzsFUillq557rWQS7t3kGs1WRTpBDfh0K8Rtq9wBMDtgrjzf88xXb+N+q29+q7fZdqZ/fCWRpqvYvspayDYL5jj+xyx6S2Rs57ziNfL5ZEWXE6zSZEthSEizkzhADZ74A1s398k+yGpxNwc88xst5qyAD3HtVk+9HK92sor4B91gGIpwycC8/Ohfct3+87hfRE5ke9P7TPlVyNXgoLar3vd8NwydWuwaiw1s7BecP7rbUHpnEB0kcmruuNYL3p1GYiuVbcMZSXPqXcl6cH3qN84PqoEZi/IMMpPZd2lpZdtPiI9zNesulkAKUEWyubYryi6Tb4z7K1ibnwpwZqZaxHwe5jpf3JWnH8xQU6BCx3CeshIB8C5IsDu3L2wYrabMdRGVuwns4scI6fFvbRWz+1OtVbFfGUe+yVAqnFsLiyalv/bQ8AjIodAYzINwPyLjIpX6rdQ5/f3CtQ2MtP2jVZCXnfxzfOTKCfv47QBFy+VOQ9RXl0sASkgv6jT17I4GviDIwv1fYBJs6iwHqTMJyAcMLVY7kV1DsmbvEsuPsfTDTpBqiDkupa2DM7vFi8e2vz5mPCfI4YHuipq8IkUCPVsmtUlL0l/sp5FWbB6V9/ib/RLzEcFHUC4lPEy/ke8cL7ttzRT3W9Mfr2ZPuh+7geTWCoCPA4IKyC9GJ7wFcr7u9OVF9eJ8yZa6QVVVTs+AiIJ/alq5j9TUSjZKsAISqsVsR9N7Fwud5XhC9noArqKQFZEM+k/7sImCiATwNrxJcujJT3vO7wwr2zmmJ0nQU4e5xqqupZEDcsKo3A+QccM1kjHs87JprHjNOfAn/3AyLO6cxE9MPjAX85/AD104jhSZGCdLZHYeEkH/l5ea/QLyyetTF9+Yni9CMTFztmYBXEOSGdSI1e/sMd4qAox4o6CB7/OCCuTLG4lyjG99H6nDlnpvcB9TGQYXNRnrnZCpx2OM854pIH7FLG/ssTVAXjkBFDxVoi3j8dsc4JLviLxwEFwPgQkJrlq6K53vwnHn94kmuiG02Uwqv4tmlQFbm04KpZYtjfjaqaQqu2831BitYqm8+ywWooJt9fcqFdS4hMLqp2uiHQqG7eL+moo2T2WdQUEEpAjQE7D2BMkr3sI4pRoofningpFDaYpFVeIKz4aRAMT0Bcc0dEAxotGhIYjIogeJJnB30oFVgsyPJqoKME6AlbHcFK3MqqTjoVpJdMtMdocI0yFAOACh0TZLAEZS3QjF548MCmbJCqPQN+1cgK2mIBpSNeAESmHgR59XMzvg0FLpXCU9PAz1lzEx8CAAkMqhSB/ReqkJliVthNRqVmMlsHsWRH4R54dfOnDDBRAwv6radTlWPmtySu2vt7lCIjYV4ZfB/2vO5cgLrx4SqFi2qbXJZiglFKJXCzH0IQICUq5QKfi7MYawHAFUrilkWkpxHJ4RwKjSJ7hZrB7vErVKxVpo0GHBYGf07t92DZxVbc5/aq52/78HulIFpfYffYhtCDWmjrZ5JSLHiwRGUtFuRGaKxmxyH99YJNQsZ/N2SybhJc3ewRANwHlIl0bT6cnzFLAG6am4RbN32Brb9jW3SwK2yo42s0xhWbTRDsM1aCv+b7UJzt/dLeb+rznUU3BkfrgW0K+WCMhR2M5qVNkTEsimDqqQ3xBq4LF45steKizav6qhc8hi7sd2FEKqX2hN+ZFSGYOIqrDtc2btfZJjq6sPGQvlIhByheNw6WrK3XbS2lAPNi94Nq+/p8ApR2QhgHWoZMpshraEwyYbR8M2K9jVfz3e1QHN3Z+oZjM880CKneF0uqjdJOynsBBlJQYdT7LULXCiZbhoraPPT57vfbk93XKLffu7j5+Wb9i9mY8TvY/w/2XhXcc3Mxz/rce6ldKEyE+912DmCT0G7RfEeobXwbtdn3tM35TA0OOwcqbIFL30P9q6kzpshQyDujo+2MVjiRvsh5DoQi1JawPYNrn8m/25e1VqdIa5/P9oJ5gRxZUGOveve+1ShQT8JdQBGdkeAK2CEKvaftvJDULV6SKpOpaWDhCjA7PYWU3GMdT/x1U7z0gpJgs3fYmrY9Wvw2VRa9x+eK4YX3rfWkWvLnDIWq7rzg4w7SfotRfq0ouR4o6DU8Z8haUfbJvrN0FNaLN65rEQVh2Gw2CqRL7XGQAEBAnvv3UeE9Xu+AdDEWUC5IVoTMu1vojelo7Lk+yuB7jyGYVtAPKxP2sFTEl5nCbLsJYoW9YAwfWZjkYkyMOYT77u/co/3HKZCxP0WUXQAMBIGJWlEYNLQCnswFOgasicrR656FSW8ZqpGU1zqQnkuVbOUZZX2hFehMQb9nFWbfo5AaWjtWHQV1/hzaqhMT3LIDxifg8NuKvBc8Hzlu0ej+w4tieFaCBDcCVVCDZhXEszS0FnbtHiewj9jEKEUQTsDdzzkXP/1Zwvlr9uHGJ/aEa6TAVj5qs8uBCbtqYkytUyX6lwPCxXxfZ+HRNGX84OYZc0mYM62yVLi+G6IaAURAVvaqqhUOXZXY76uIMSZbvOwFy4q7mzNyDXgue6j0OLf1gqogXkwI0NmUo2K4WbCeBsTFktw9gFShgcKCdVDkA9d3OlMAqxEpI1COCh15lq9rhIgiDRm7LxaMP8x4ftmh/s0BYRWsc8Kn0x7BemuB3n7TmF6jIdOHisPNjFoD5kf6Bef7jHS7IooiBcV6SSi7xL7/CynWy70VHZJiqYyjy06BpIjPAeODoPti08UD4nuO/byIIeZWxCgBS41IoeL+SB+gw7AiiOK3TzdYl0SRM+H+Fi4sCKRnwfDCfuVifry/z+MPT3JhwaL3sr0+jIP0Sv0WuQXgSpSo0vs83ZZiNJU4Rw1UOyrswZq9lw4JcmP9uobgyJo7egDwMDkYslaBMDO5zcehBzbABtVi8CFZWTnzoCgIwlobpM+eHADKnhiAG6FkvUYF3HLF1WizIxuWypi1iiZBSUOjKrbrUjZ96wcGM5w82kQauMH25NwPRL7Y7ktV9hvBerLs8FcbYzExjvAy87kuhuN/jBrklXukCDnNCI+nfn/9d+Yj2/wEL0t7jqtvAsAVUmbBc73dAYcJdZfsgO1UKDr3iJnIe2WMf6/3pnRni1GyWL8WVa1Jv+3J09aLsmJgwOI+tm5p5ZfW+hJDTxRiMGsh7UloNK/MGLpy+DgQhVXtXsIbmp5PwBaM+RzeBmX+no5Qmme0uFjX1n/S3iPMudH31JPjQipIvBSEHJrVzBZN8qp3C2yAJkbS+qC21wYYkr/xwayASAVW9CIT0OYabM5DhA4wjtpZAce1N6564YIY9f9VooBeLJJiPXZclH0NbYPcjc1PS0JeBd7+0G1SuJmn23FuwmvbZGD7XH/+JkmECNUwTbjEqfiO6Hi/dBkZ2JUdsNxZUDFqY514vx1tAYj0NEElC5DSmT2VbjPVqNe12gs3Cc6w8adV5fz2e5NLS2Qll+bxvO2zbeOQzaImvTpiVFuvvvude4FAjFXirAZRYez/evwtKZKNMrtk2uok2Fha8B2sEBGWwt4xAN7PHRYG+OKsibjpjXabIBcJLAp1Now/vKBiYkmtt7oFpJsiVaV1WaP2w6aoWeh4AqxmPUR03u9Zr5iqT23/fs5eeOU/q9s5OqSWQAjAPtppvD5b19zueXs4K2g/AZj6vXbLP0/IKrrgFsDzJQWUPZXn4/MMWVdoHLpooBdjLbFyv9MysZhTJqqJuhI2wDGJC4Pl4YkKtOMTA+o4185YGBK8H74JAm50OgA0R4ZyHBBFmnJ3OGdIYg+82llPVhFa8SQsxkpx5pLd46aqDKK9crNr7TVQvWrRcATbraaGZ3q2Sq4NLHCxuabKrWiKrSxQAodvmWCRdi8tCdpSXpsivqGBnmCSjmsMhEpF8S1tebkbroo9ABpd8/LlDt0L1+nL/F2Z+J3KGKyoaoWD0BMCr3dMD2RWTU9WBB0C8v3U9u3pocLp3LQX4l5Wx2B+vmpBdfeJ9X1I9wPy7YiQK+IjGSliZw7X9Wrxip23ziowSyANYig49wEpFemcIXnjcOBWRD1UMAaezx9tc9dRQLg/8Mikp3GGgyKOFWUJtHwpROJqItKazrx/deQen158/7JLmW3/3IRUlx9UhEntfgKPf8yCbt5z3Fi4tsRzx9c6LT6bp2kd2Crj1j8I2hH5VTaJFT9nvhcU25/SiYlcdBKM17aVSLW8kNqqiZ+HoAgvke0Jk6K8XVEvEfG8yawB7NOK47BgzgknAx+qxd86VchUkIeI00CkcfpAZXEvnIVZkJ8GQKXRv1vL4jni06cjKbMCAzc49/NBsdxv9khRUszts9cXil3lmwoU631eKaBEvRjY/WH/vEAwvJDuu95YQhkV5ZxQJEHOEbII5mPBej8jLxFeS9JTwmPYQwS4vJOrRN3n5/KmIn59AmrA6dMeWAJ230WkMzDnhLywKOm0Yw1qffaAW0HFZ86ZcmOx/IkoeTyz6FgH4OXHJtBrGkHphb3HZWSCqkkwvJmx2y9IoeLblxsjBAVUFTyddwyP5wE1C3AJGD5SWTldOPbQPn/EhPR+n8cfrq5sG0odU+9L2Gwc7TBsCAl6ILxV6gQTU31+4YF0f9MUfTVFBkDns3+oBYkjk+sxsLpuSYRUbVS2bdKlx11LBOW8ot7tkI+kNDv1hL0c2uhiYbUDVNBoZHGmXQ+AVoV29ccazRzbKzxA29S5URqqtfHJbcp820qhHwSOrlXF8FyQrBe49zSZ2mryiiYTuaueYDvc+z0Bg8CWKGhLqmXJCO8fSQ28PV5b/Gw9EweKhIRPTyjffgeZJvrGjQOwJwIrIZAOXSvkdOH3nUbei4YCSJsD/VCnKFidAvIuwFE9AKjCw349Cua3YrZKViF7mxGPK7QIag7AOSKdI2SlyIyLhfkmG89MFOsYIUbta3S+GChy4w/3eN4k/a1P3JEQn+MDelIAC7pGgZznbpEVp6v3spvZxxnoqNdmnTj9FzlD1anMllh7gmd9i3JBo0q2XncFkCtiBoDSepNoTcMAtLEJotEhK1pyG5bC5HTwhKDPtbDknkD6JN32dtoB7AEMizRgQCBoyE8QU2rcBFzOThB73dafV0XMGkx5HzYBvpjnkHr/lCOOIqTrAubZnPlvp5RvkfPXKFB49bMhQcfEtbRNFF6/xhOBwHtcp0RFUDNgJ4Irvd8lENmqIwV3lrfKoMj2hngRo4Ch2+JktD5qVwyOLwsTQ1dLzYXiZsLiiG4YC160kcvSEV3Akhmbd7U2tkG7t1YUBKSPZ0rXyDHQhbiUtH4AVEGOkfuE+616UaddWE9Q21pwpkQm3VRUEdYMjAPy/c7WJdst4oa+7rTQeF4tUbF9fIioO37fcMl2PUQGdRpRDwP38SVvevm0WcOg6KZFBg29pkgR+woBNAVhhNBbWQzB9f5gZCZFTl+9Gocg0BB5niy528+9nnfC94Ptxb5HNWs2u3eSleJhZtskW7Qd0s7NcF7ZPtSML5XocKnNHkpVAbdN2VMoLZxWhDVDp9Ro+DWawFzi3+sxUnhnMirkSNqg7gswB4Q5WGDMgHl6UKSzYngppKBuUHQdIou5vie2udmTUB0G1F3CemSCIjPvW7gw8SmHkXTWbHTvwaJUESYTJtDYtEC8l9bGhcyjsbEEUPp53h6NwaZITzO8zYLKqDZOiVZwGkjHDReFHmgJks6Kw68vkKpY3kzsHy0mwCVANfXpuDoaSNpyHVg4q1Gge0BUkF4qhlM2angX/qpRMJyqUfu5n9RBcP6SY7n/LhPxzRXxnFuCSPVa7gdlZFJHZehrttD0ka+HsXHqGHH5ckAZBbsPBeOHmQJQ9wlSFOOHC2TJyPd75KNZVdl3C6sXNARIEWWXsNwlDE8Z48MLaev7iXtarZClsJAfxj41lPZH601AXM2GMasx/ypioQ44E7/YGAgQsVY1tpoxwQdtsKzv01Hn6gjbpJukTyBBMYwZtQwQ6/9cbypwFOCDNPuWMjAGmt6vTaSs6ddsi8gA5IcXlDwinALWNxXLDyrR/9VYkspkId8C6x0tdtIzz456LBjfzFjMC1gHRbhZmWw8DQhzMO0aQ2bvCNLMbyJ9mAGkZ8ak6WKK0LdobIIwk449fVTkA62KNNH3NZ0E5x8X3H75gpenHfTDrq9dFRyGGffDBS/riO+SUl9iUEisGHeZdja3gvIu4Py4w83PB+zfV5x+GFHfMEbGp9T7eMVaAYognoBSR+iowN1KT1dYkrsH4lcX1CqoLzwrprcX7KcVDx+PkA8DdFLgdoXOEbufD5g+0n92eWOCXYkLoA6CIIo4C3bvzW5oYKIvF7Iod98FDE/A5SvBMlRg6fc2PkfUhWyqy5deUAVQeU9CBvTtgv/yZ7/AX338Ep9+8QXSi2D/WyW1fRGs52hz0s8qK24M4P2eBcNjoJXTVyvSUFAfjxg/mYbFSlQV/+iM/X7B+TyirAHlwwggUB/ACjY/ePuEP3/zLf7Dp6/wzcdbQBQpVSK7LyO/m7EZ4jlg955FpvGJ+9b8RrDeStNk0LyJK/6exx/uk6vKDT6FrrMgaAhd8EPUkZMoqNNgFdHcqcyGKMo0tSBHpbQDRB31Ba6D0NcIzJDYmG6emK3PzoOAKr367BQWpzta0geA6J6hxU1dEWhBtyPJjANsg8lAsMSNVUULPLdCRY5AexBXga2JMg/FNrhXBwIriqyi6cDkzyt5lPy3yqHnFUm4oTUxjg0q0MEBKDZBe7DA1tGV7wvYW8AJ0gQPB7MDSn2D9cDXA1JHhBqK778TE40w8YjE/pdGXZuMIuWXbXG0q0hyXCyWngOKdBsl37S8UZ8/s8r2uhkTV1tcjebWEIptE5fwO2y9I7dV4DYZ0L6fbp7XAyELOJ3mt+2n3Y6t0/r9tZ4QbIPZ33FfWkvA6953tUBbNgIhG2qkbHtqlZRuzT2I6MgUGqrbHmqoqRvR22bbCiipIymsplvgWdEPZ7+kwt4YbwVgHyWvI3jCv0G4ZEPr1mnsxQovpAVhf0+07+v9iJaASYp9b/Gx3f69RcVejznAfkdH077P4mnTlgExFWrvSbb7VY16V406V0yYo0xoCsouRLLdE7yO4L52YaGgUprZM0aEq7a+MQAb1K9iG/i33w0dSbr6roZGSXaNhNDmzfY5SKmPpxcdNlZhmrlgxeenF0K3iPqQ+PmVhQ+OZbxKmlvf9JZ2a2PdNBFe3y9n03ivaPVxlJ64AExuXu99JriCECDwKozNQU80RRikqNpBCDRrNmw+y7+D7wPK95ZiCfFKhkVjO9g8gbBPt+3jpkZOYSQ/63jt2lDqzThsWRTbe9b+377XhnrOQoBcF9qaOp2pwjdmVbCiWj8TEVmQJnU3NmoshKhUjaYUntAo6lKBcBFURKJFaw+qnKng1HOi9b5nA678/9la3j681caK0+U4deTe73U0P9S6tzYpXltNAUCAxACZYt/nYt9TvF2LvYraUGafH1ptvVuxuekY+K1SbYJAwUSigqmIaxSUMW4SV+1FwKqILsIDfj4ZSxs6vvaE25FV9q3bteSKgIB00Y6+ChoyDLDlp02ZJFBTY69uaaYdOPB1IJWva6JJSZAMOBBBHz8fA1sHOlS2KRWln7n9Lp3zdQuAxTdedJJSMX1aEZZKNwffJwAWfQdjZhma7veuKSJvGB2Ouldna9jznZ7udGzNoJ3jZD/TYCgnmo1hcw+I6KirAloC1jVCl4B0EXPYEEtaYEJ5aAyP5mbQYptidpE9bsmngXaRAia22UCdWdr5Wkc0hL/R4guAIuy3tiQFCtRHa9XI0mNhnwqRc7ZOtm1tRJL8OWUE6mgq4MnYB/aZUixxEXQvV+u5zUfOZZ0TfvV4hxRukGLFw/MO4cmQ0psCRGB5GbE8WRFPADnR37wmK7hM3HOdeo/CCEITUCILyTpQrFMqqdss2oB7u/OWTc15XRJUBXqJSAtp1SUmyGoMw6O0+18d9bV7EKzH9fyVoE5AOFvetBhwJkysNQLIAVDGCAHOzpBNnNn/rqMl1OeE//6br/H8aY/9Ez9vvbFe3X0vjvv+Aem3s+kdXPim2b5vOVQsmTTyMAvKXlGWiAs45iEpqu0VCruWsWKIBQGKKWUM46awLtrmmPpaMDp/2fGCwspCfxlsH7kAmPF7Pf5wunJhX0Y5MCjZ0hgpkFSx5XLomDC/Y5ln/DgjXFYefmNk72CKZla/QM6svGmMV4GwTpseuC1KHALqgZYG8WWhWJAFwwq06rsLaYQpIi6sBsZLbgivlIJyv0eNgwWWFlQ7EhVIEXa/UCIIdZNIXid4zc/V7G/CLK3CLIk7HtU6xdCybeXeNv8opJieMxGgHTe48WmFrLWhoNvXlYl9AOklIy5EJWTZYPwiqPuBB63dLyCi3h36d/DeYaMy9/tugdRhBxgNvKtKahPzkDUTBbnlc2TxnlxuxpomlCPpSfmYoFGw3Eb2ZQ1WAa5mjq6d8sF+HIC9P3ZAKWnbZU+aTZiNrmxMaQ1o1dk4V6N2F4SnS+sDRM52XgVI3ayiEFBv9ijHga/L14h6U/XdzP0WKDsKFmO3VDEk0j31rpSOPZgdh0b7Zs+Yotl5OJK2RW49WnCqf0BPcoMF4if7TtZDX8dE9EoBsXnnwX24FKtEb4J/S9TEaJJNGViEaOYmgZbVUBAR1B2pi943azFBR1O3iXfpXnquUulIcjvQjR7dxwy0gEgB8ZIRHs9tjgEgEqOW3E7jVbKkKTJAWlbgMsPppYB2FeLX6K7Nc37P3Knpr5LiOg7QqSd4dYhY7yhw4yJ1FLfz4hAAofx/66sZbO5ehB509vAen7AKxgdpCNdwrpzjp0xv8JWIUzhzHunpwus1lHZLi9clQ+9G1MPU5+6mmBMez5ALyE4wlof69/Zi4sCLbswcAHJ3yzaFZQXWBRhG4Ia2KbD9WDP/luMB1fYUmZee0G2E3672psOhCT81Bf+59BjMmQLKeRMuhrZvA9jN+mg2S0AvFjmlOLoKq0fmAVIr4svai1abJJysiwpXG/bkyc8uyZy7Ohjqds6tANtbOvjZjhzFc7Y+38AkzEUVN0VMlYa39uQ0bXrkL/NVgUFrZYJbAFU7N32+L2vbE31cmh7D6yJdiijHCRA0Wm+dEuqUkI8J6w1RyWr01TKRicDevl7MQQbGj55McE3EmYwcFnFYRI4zaerte1Y0NkWjxfv+u/HBroeBTMS5IO8i8rsBISuGJyuO25mb9xH6BW2ihscVoop8GHitThueFePjautbWiuBAM3WBQCTkhgskWaSst4mW/PcG0PbV20PXiumj9zzwyVDSkFYJkilyKUzwhDQitzpXBjQTwFSFMNj4fc8JuS9eb5mXmOcGYmWXWj2O+NpBS4F6ZnXtd7S3pBzkUnW+NAtevI+oo707Sb9lerG40NmW9hkwlqeGCbB6auAvLPWlEtscVM1mzUpvDfhRBbKYLFlvmUAMH6aET7MqIcR5WZku9eFe3C+n1B2EdNvT0h/9WvIYY/1R2+gMSA+LwhLRr0Zsd4wvguvvEiGjxeElwt0NyDf77k+jXGw3A7IByouh0WN+ms92qtCKgWm8n7TNxxhvqn9M67aTqzwgCWgrAPic8T0gfv5+Kjm322F3oJGgV7uyX1O50pW2pIRXs6opdsMTr8aoO8CyqQYngXjR7EeV+57yz2wvIElEqSfxgUUyDoFlDQgnCItcOaA4ZHr8fKVouyZhVFEDJCpACpY7gPCTjA+sifWk10NwHpX2VIWmWiWiyUxmT2gkg3pTlxA83mABCD8+IxaA/T9iMsvd3adgiED+zMT9Zc/UmComH4x4PArFtDyHq11bz0I1htDrBcxZp/RXgWY31UmykEhRlHWJQCViWUxxiBUoIX9wlKAukxYg2J8DBiebK9+JMV3eaOY34HiTlMFhop4yCjnhPEje0yf/6gCX8+oH0YcfhlZ3LBe3cuXivkLVqXkwrVRDhW1CKb3AenEubXeeC7CNbneMpkev42Qv3yDNwtbPMoEfPynFfJ2ocXSSmq8i345cMS5wD7Y/TcUtLucI3QoGH9wQvxRxTIPmGe+R/gwoGKAfrlgf5xxDiMT+AnA2wW7/YrbcUYQxf14Rr0TrCXiZR4xq0DWQGugQYCkqLuK859QDGv9LiFe3G+Zoli794p6+Z7i5fc8/kF6ch0VubLBsYStDgHB1X8qq6BNTMlolF7BqylAEuF3zLhOqoDPetoA9ArpVujFNsQWujny87qyW9H6ZL0S7CJMDSFtr0X7Dq2HcPswtLcFWrD/B1rgBQ+oXr229TIp4wyxsn8zjN8Otf/bN8YKsy0itcoPvE0H0PV3fv3Yjkv7EGk9jm18fWxfP4T9J/36NkmdB/ybBJxCYmoVf7SqqAt+1IEq0mVCM0iXKkQVtR8arprcqo9W7aERNgNDV31rPYpWuWsVcA/MvfCx7WvznsXtw3q1IOpFvF5oMdSpsXO9p1Bh9L5qIjH2mZ6AAtdI2PeNtSeyoFXKZ5Nik1j9LmsWViy19Z/2Obe5/6+uwy0mG8vB386/swmyOCJ59diKBtm/r9YkgC5GY59nG3RDdwMaSrstKPlzr/p8Ac6jVzH31TVsruWzZLUhMBsmgiciFb97/fhzt8kt0PZE//+WxIc+z6GB/TfGWACImjB5lW4RFLbjsikiBkCDWkBIxCeuDL7CYpZeebMWm/J53Vzm53sMEmm7TNLkKsltglQxXu+BIqTvbgqOAIxCHzZ7br1Gtb5vXKvfY/37x93fw9YS8067Z5t+XxZKYEip70/4fN/bsAP6e/e5cnV+vEL6XTysCZjV/nuicpv7poBic6boZg/YMHP8/FDhEDoq29BZb/TbXP/VnH4970U6LbzUa82HbU/p951t2zHZ/iqGq997ctjYTUDTiyhjMOEgGD2/Fy1b3LAZI++58iTXA/CwavORx2s6t+9LWx2QEIBXPkIKQFxsKUkrmoYpdAaYrUPSUS1usWC9xTtBiMxu17pf/5b9AgDt+dK1RXw7NzSe81iwZdh48eJqvvq+Lf01XZfAflyvYxjvRdew2U9tvlXdIL1An5sCuPjf9/2eMRwptDWh99w29kCPI8TiGQU6cgT7vYCIsIkP9b71zRkZwHYln7fV1kHF9hjBtr2ptUYMFBaNKUCLNA0EBLBg5bGbKprCuH9vSI9R7Xv6dfne7Hs2W87EFGgFecd7W42p4HYsuilWogICgUv9SmMtUDHbqeJON98Wv/y7bovN20c6mzzC4LEPWn+jgPO2jJY8O4pKogLPmtLtcdofj7t8uH2pRf5CR+WtsTXulkRqdncsKAYihav0uWgiag1NrKAAUawIBsyGhS06Dl40FfECyCqoC0GkdFbUrG0iNMsZ6dfcWH7Ffh+VVjcCiCjULYhsXNzeqWbOIbE5HFZ+gGS7cJ/bQmFIR4Y9sW9LuI2NYkiloZ+h9DiArE2L+6q9b+T5sR379r42vyAKDUo9mpO21kkNgI6KccpYSoCuNhcMqUfSrvsgm9cIABXUGjCMGWMqRK9VUCotqaBAqfxZW4dBEaIixopzHvBx2aNqwHFY8IIRuQaKh4WO6msWICriVIzlkwDrYXb7T7dH+n0ef3iSKx2B8IVeB8F6MEGFYySKWFiVbAerAmWXKPDQDmaBTgM0VoQ1Q8T6ai4z+35vKS4l83LV+8YKtVWWFyJxsqxd2XldIYkG9XCzeqGdSHrugkgQUmdddCieN5B6VaIDhlxH651pFX+P4cYIFaLSsq5X6IIH6RqF4h+xI1wALKgEsMIojLH3YAp/Vg4JZdiulOsAxK8TAPuYAFaHrTez3O8NGWMvWjgtRFLGAfXAiih7zjxhluug1L9vqY1y7QJfGgVaBWFeicyMA5H4IV69h6aA/HaPYlL8YalQ6XZAyz1l7AE0gYOy5xh50M9eENsIzCM0ZMbv4ywI7yPSM3Dzm9Ko3BrM2P7TBqGtgFwW6OVCqvxuYg/eupK2vHnUFNiLs5PeV/rqOWJU6FCIpKFW6GjPvWRQQjuYFYpCnk8U8ImdSsUP65ZXTbncRKY4r3MP6HKxCrm9fs2bIEp6wLtBv1rwt6VobpBf75EVNeqfF25sA5M5Q5aV99j6GGUxVfGJnKyekNraCSCVbBDOySVDjS7rhTF62GqnOr56tEBrS3G26w5zBmZwbvtca+tTu4KsB4f+uzX3oNh7+7cK4SL93zE05fbPGBsi3ZJlS6s1ldVyGFoSoFFw+SIgT7T8WG2+N+/CbaxiQV/I6BQrRSvmpBOw/459c+OnbKJixtywYk0T1wI41waOgapezXMZE9a3e8xfjkya5+tCTx0ipB5MV6BuCkXWx7u12qrK88FFgPxzRtvz5uXqvWUYqFKuivD+E+f7bqQmwznTk30YrpkOYvvjJfdryQVy5hrX/URth+W6/vGaQg9YAGbXpjFiq+YvuSI+Xq73W1fx3Y3cO7eI99oDZQ4cSHEum/nZvnhPfq7mtxp11Ng3wQsNvkYLIErkz4t0upugUzIE2dhCxjLQw65Z5ujqwmC2/m4OkLLpe9vM8yZI5XvUds77OeFB/5jI6vJhFcFyZ8ycDSuhjD3Bc7piWNEpnQL2ja22D1khZ/epNLRS1op4Wtq9bkXKZWWRcTfRCmvNXdDSL6sq5rcDLvexJ0VC+yL+/jpxCjuFxpHJddZGJQ8Lmr2an78qgnguiOeVZ92Ni3zZ/jXG9t3TS+nz0am+KUBHalNIUbLZo6AcB7i6s59nwGhzGa0wEOcCIKKASUbeRwQXEbSxBDiu6VKMTh1Ji1YgH00LxS4nzhXpXFGGgGoiWOsN//b72m3mrAihHF8NG2FPu9eNAj1T7Co9ziiHEfMXA5rdT1XkfYJ+dWhxk1ReL2DsgOFo42gU6D1R8bBUDGslQ+lPfsxzO7KYvt6OkBsKavne5m1q6WmGrAXlbof85QEhV+t5DcjH8Qqlz3vB+QsiutMDi4vndwH56Aw0zuV8rO01AJM09zINZgHUARuOYzqzFzGstlYGwXCuVFX2HmRVyCOvv45EystxAHCDkhPwt3zL+78uOAXB5QsmMnkPJmyTQKNiva3QqSKcA6Ihov4cjQpZQkP1agLOP7KxnjzJ6gJAw5gRgmIGUNeAJQyo02Z/tcQ+vgTc/6Xg5lcFeVeIhEdtSXZYmFjnNaC4d2+lQJSjvbST8gSf82r6LkAK7WvKjmt4eCZavtzxvoQV2H1nPq5nEE02urZOFbvDirxG5DlCTgmH/xgRMnD6UUV+U4g4fjOyOHeXAQWGb4ZmceRieeWL1ZJ+u9e2mdQcUB6ZsZ//dMFZAMwB628OCItguWPLSrzYWomMueh3z+tFqkAV5COzz/VOkd9kyBqQHtiXj1No1PjlnvOWlGm+//ywQ3iJSCf2P0+f+Nz1hhogy5uKciwoh4D1NhDdLoLyNOA0R5ztGrQKLYJ8O58DLjLy+g68DyGw7/av/u4H0DXghz/5iP/1D3+Of/fpazz/9gZSBMO7C4Yx4/TtEeP7iKwBuAUkKspNQV176+H8ruLyJVDP17H373r84UnupuKoJpRQBkqme1RRh2j0DqvUeJUuCUoIreoJE1wIALZ2RKTvRAbTRSEXvULdpEg/kFsfUm1/1CmodjjTP9be+2KN+8NGVMjbCtfa+4u9Z9PtgWLtqpqbRzO0934vR0O9Eo8eYKnTv4J0apsHEDEAY2woAA+HjpYD2CQRNqSeIHivsfcsZktUBoGOAVpBSwxRBvgvZx6+ZbjuZ/TKvvVOshLtdKLav1u8HoNmwTMO7Xu28bExLruI9S4hnivGpcL7bGviYmzxlkX8Nfkcs+rQSuVrXhPMlJvPiRcgXhTjM4N+qYr1NnGTWyqN5a0Xh7TizD/TZMmk0qLi9UNAQayRlX9eXq/eqVBYA8LXB1OyroZWx1yBlYUWnWK7V7quzbMUPk+BnpRd2QQxMaGol6knB6vQuzJs3iR5LkjxmfqyBdQVEFjpXw1NiWBl2ebiVV+fV6CLFZA2PpuuRAuX9d8gSWK2GFRpFOvBUGz70Zv1iO8HW2R8o0Db5mS7L14k0u/vpdyO6fb/HTEsNl9TRPNwbb3rCp6y2oW9tu/zGuVyfQGnixsSrrDKtiEfpPnR99rpRgIGqa331qqyHnCH9jv+Xa0yHmeK8MSZFmdUDa695/Q1AiQCDb+jDBroV7oeAqJRxpwtARCVgyrSSRDryti+2LzIxYSJ0OZE1yDYFhjC9c+84OLq4csKPZ/Z478b23vRf7o2OulWl2GL+kouFFHSChkS91inrXqh8/U9UtvHHIp1xpEVM5sfe+2oXVObtjXwuqfwdfuCOlLhye+mqNQKPEO8ZuGodqXr1Z43pGYHprWvU1d5p7J0gaybcxC2hrwHdEXfAwIg43Bd1POEXRVSWAyDo1/mN32FHHvhIbmVnZ1zEaQJHvizaiycOnINhLWjf6GqBXR2CUbN9D7cdGGyReu/jTe7t3D4eb8s/Pdu4hnWUN1+DklRlDGYpyzpoDUy+Ic44qVt/TGhM/rvsyW5CmqOvGbAKPq1iaAeelILWEAdjaprBcZuISXWytnnEs97Qd5FU+6F7YNEx2HPB9CToOgTzOKyzTq+6jc1ReLo+gAmOgVfCkqBq3DOAFJT/y7meFAm/n+cdVOE4xclI8sK77aXOUIF7fdX5gLseT9UjIpe+PnNk3YuDVn176tD6DET0FgFwRwDyhSxHDfCmYCBKkxww9Kp3qKAXGiVWN8dsNwnpJeC6WUFUA1x6/ekJtJE4yKQT/x+dRSsR8D9yzWBirRBDRElswuGmrlnq1cTHGll4cTmnQjjNAXcIz4UxnPR2i40BZRoLMgpoW729unjiuWkCLd23QOgSekbmwA9FMhYUGtCWKKhh9rimS2CWwdFPlZOq81cavc2ELFLQ0ENiryLZvHTE1G2EwgO31Yc//IDlh/d4fknY0MqpZBOHQzo0QgrcPXzkPOU1+NCXlKB3SOTQ2dghEWRFjXgjXGlJ7dhNcp25O+IkCrGIaMUBqOyCMYHzuvTj4FwyNCHkUJbe0DHYmtuQFyAbEW8cqg43F0QY8W6JlRLBqsKsApkDtChYn9/wW5c8fFX90gvnIdlghWipLEu+sZim4shwi5gVkeF7Aq3Yw2d+eghzMA+5PWux1uyBIQLbYzSCRgftDFsnGkQdhk1RqxRW5wrWaAgkt0XlQBibKUi0JVs3DqY4nIwm7SnhOEl4PTVgPt0hghtiABgnDK+vHnB374/IMwC8SKKoKHLsDlQdxXxbgXOnZb/9z1+7yR3nmfMc0fAHh8feRH7iR6ENwnLbcD8RlofHQDM9/wSwwuteKRIFyTwzQ+c0Dy88rUlQkMKNv2k48CkdpOMeVVeQ7AWFwYDMq/8fw+gRCCzVaZT7DQ8C7g9CXM7CZq3L/b8gDpMaOqoKaBO3FDCYtfrk1LAgz5GqPWcahCE2WwNGq1Jez9JrtApNl89V3C+on9V2qu4Zx19ASvtb1wV14O21YObSMVLgL1jQHsehgTsd7QD8jEf0nVC1FAgaT2ZGof+WVfCWmDPowV+MmdIUtTgCBfsu4CV4wAs9wPqyL7EMlnFyWgedac2V6RVqqXIlUiJ9xf5huT0imi+w1IV6VQYWMzFCiEMjiRXBkLTxH4yFKguQCgoW5/cXLDcjzj9sC+ZKxR5tUMpctfXEBAyE1nv55OqvE+GpEtRIk3j0BFWD1aBniB4IFmsx1QVCIHIF9CD923/9DYZ2wpo2WfIZWGys1GIdt/TxuwzqqeKsHfcrw8wJgKRHacLauh07PazIfbXqc1zSyxcoKbRNb1HMnJdSdbuTZooKLZVkt2iiFvfyc8Qa/suPla+/q6C+isK8/ckxCLsQd1SwoIHkWHz/torriJmRULWStnTM3G5CagDg/82321Tx8h5FGceKM2qLPNwbvZhVvWXyuB/eMqIa+09uLm2glUrcmzZFEFRtQAK5LpBVFNEPkYst0ILroMH0fZSCzSGU8Tw7PYjDLxSBWTi3qyDqf86u8CErCRHuG9ssxta1p7wBpvbt7c9CbO9WjCaqru955Za7PPOLY5SBHldTBJ9DChoknh/fE9eV86zFFuxs50LtXargmnknLE12op3yRPH2pKW9oiCamsknNnruu2Xb+/hCS9gZ4cHG4FItK15zrdeDBMTFdPUFZTDSRsS3OYu0BDkZn0jQiV4kdZyIJcVMpNt0pS1gwCh7ynN6s+RYOvtRwooe/ZvsljJRGh+y+C/IaYBTc0znYQFQbuVYVVMnxjwjk+KNKvRNo0NtlyLqGkKtGhbMwsjAIXPrEhey8r9fFCUV8loGZmocGNBC8Z5lrBYShVcp6gCcSUVEgCtcpI0GinvrSemLDbU0RJT6fehUQHXrrgtJVxdW3ouSJ/mxrpSEYT7HcoukvG0CwwSZ997BSGxz597hDYnBm/J8r5SnuSM0cI5E708DCj72PfidqH2PcPIYbLvSgV3qrQ680QDWu8oqmJ8BvRk7UMWEzqKnCw+DQuFoqQodu/X9jPu73xOHQLyjs9JL2TdSBBotqKKIeNtXZwyAjgO8VIaeMLktvgAdBahACJKHYIhAVaAgAhtsAD2f2uF7gMQSZfdfWCSdfqK8315Q2seHZT7uR8lLtxU6dVaJ6rWjp8C7bBeGAuFAqPhMwHrdpZWDPAk34sIR1pN1iTQnFEvF4THBZp78P/8kwnzG+tnnGixKEUQzoH2LzuBlgA5ZtS7FSEopmlFzhH5lweMjwFh5nkEEeTCs0OTV0siC1BnwflxBygQPya2ihm9lDG/JasnQSjA848izm+/st5kro/h2e83GvV9ePL1BCuAcIzKDnY2AAHKs+rCgowLK6kILl/w/rp1jybAl1r0Y8/GGFExDRmn0wQ5x4a0ayCCvH4akV6MDg3F8nEkGv6mYr0HwmwCeZeA00fCzPEhkmK9CNJKAa31XQGi4vI84RJGICjyvfXhTwW4RIwPCXEG8g1QRBEsKeUCsbyyMnkNswC/mSymtnjK1u7wCEyfFMu9oBwUZa+IbxYMQ0F+usH0gXON4Aywe2/J8xQxx5EJ9aDQWDEeF6RUEGNFFMXT8x71E8dAfziTtGVjWQVYxgCMFTFWiCjk7YL1JqA87/Df/MV/hVIC6h3p4ZfLgF8td0AW1Ml61bfASgWGR8H0ydpe9hHl98txf/8k91/+y3+Jf/Ev/sVnP9fdZIISAZe3Aeev2S8zPjCRyUenIAni6lUagaD3HlGwiu/nlOCGFDa0tgJzZuAzknrc6HjeTxQ84GQypiUiWOCuMbTKvwvF6G4EktlQWHVdAzcxtf5LqdrEeur9oSvagZtkUySs/N6eFPBN+T7r3YiaBMNz5qGmXezE0SpZMuSyoAxHBvgrxUxcRU9TIEJjlFBPLFvAZH6krgK4RdZ0pPBHWAo9cIFeFIgRMKP1pizt/bNbhUr/Pj4+nmAuBbgSypJmTyHnhZRWVSZJDcGWdhA7tb0OnSpRduTfl2NFvOdOpF4Ne0kIc4BuFWcLA//9+4LhuWC9JRLF3i0mNbFyEYeL+ScX7cm7B4gh4K8//t/xVx/+9ecLIPN9zz+gOENYuPHmAwAhddoPRmhADNyYxCgjROtN4GitCDan1Gjrcl4YXG57mbeJKsDA1Gl3W2uXpjKMq6S1B+PSquvtsawM4B3BkY2ljgeQ49D8OLvtj8/9CB2TJVIOoQureZ54OnJUGVhTvdST1tBbAwAeViZKVo4jyhQRUa7QMA1CtMcTZZuzYgJzn9GzbT5yor76Xa3tuziS2NRrg/SE2ZPlaew2ZX49jiRaUodGG9VecBvcMzQi70lPXu47pU0TuiiFB78KAIGXbD1RbsPQe8rRBKbCytYKyRXi8zuXXhB5/ScE/NXTf4e/evp/fjbNNfI6l7vei+VVYwgaVbo8EfHxpLsp3U7xqkAYzDe2sViiIW8xml82x0zV+mhL4Vi7p7mJrnkS15SUVTsd19eM0/hDMKV3QdNZ8MKICIfX96IYIM8z5HRha8V+sOKOTZvF5neUbpOXK6vTvoeHAPd5l7PtV7uBBc4UmiIsjFIsWw/4LQtmc3aoMYpENwl36y/2JGTTj2quAo2aawWsK+XyNbc5IaVen1NeSD3N0POFlkDFxmI3YusBi2KCcpHWfW69VKdI9GYim8spgvNbIkf9e/Zk0nu5HNUKK5AeK0IGxicK38W1NlG875uvmEai9zMLd3I7tSLrX7//19+/n8OQxh1aXxzAvVoKMH3ielsGFqJYwBTUVTGxvk/k7kC7M1+T7hurie1GdbhGtrd9bvGCfp77Nmh7Yni+QB5f2PZTKkIMQHgL1AkaB2SfEosVsYTJYDQbnbBWJLevt/lSXPdEDeVRIFwWthl8eUDeCXv6W/DY37cOPGfjUlkfmvme49OKMBfkw4D1NrZ9gGKRbpklG0EptaStFyt1ivSy/e4ER5i3LIF8v8Nyn/jez9oEByUAJQ5UMg7oMckauBYqLe/qEBkTAU2sq+4T8q73oEtUipGV2AAXAEz8q7kxrNpUk9OsCM8UM3r5sSAfSFPVoQLJkLUikFNii4IhlfWgkENGeU6Q70it3X9Hr2cfO78mzm/Om+AUZdvvNAjp3JYM/N2//7/gb//q//rZHH/5kaDeWYJ7n3HzxQmX8wj83Z7F0sy1P92u+PHbB+zTih/unvBx2ePf/PLPMDxxTVJkS9B6PocKiWoFftrghMcEycDxFwHprDh9Tds7WSy5XZlwSQWefwqsb0mTHl64Fvbf8Hyb3wnyyBhruMAKwj7fbe4Fo8kroCoQOx+HMxO69YYiReWGcX16Iu1aB7UEcROn20OiYoyFLfLn0DzoRchcAkLvBy78dxkB/dkFtzdnfPrmFvGbRNT540Af618L0gtp+cO54vFnCQ9f8/zAc+L432SENwtiKjjsFjw+7RHnhOGZolVO4R4fHRDg/rHec86lJ/udJfMqaEDF9Elx88sVpzzg9CPuQ1+9fcIX+xP+/V/fYPehsgfYWgzGJ55r601CmQL37fsVabfij7/8gNvxgiCKIIp/W36Ey28mlIPiB18+4mZc8NunG1wuA+JQgCMauh9E8e7NC0QU3/7dW+z+NgH3ivhHJ0hQLE+0HgpLaGwDWmyg/RkfBTe/rA1xzt/Htvyex++d5P7zf/7P8c/+2T9r/358fMTPfvYzoFTUMWC5Eax3VC6jZRCVx9qmbuIEgFo1nVTlLe1BixqNk0nrNljTFM3k3SZk7UgFpCKYFVHdW9MPgObJaebwDWkyWhP9FUsLjpkgolM83Vzc/XqbMATa8z3IqDFw4sKSzdAp0GEu7MWYc0ejK1oSoLDE0j4nLNVQbtvMFQ2F0RgZYFVeQ51IxwtLbt/F6U3bgLwJDnnQWWzgPeiJGy/VrWDWth93g8TyQqXL9a+lo257S9xShJbSeh+djnVtPSJGOfG/rZI3VSBqZ0tWVkL5PujVcDXENsNEFDjv0kURL0ZpqwrZoJm0F9gkuf69VPFnd/8V/uT2fwWACNd/+3f/R74ockPLe0BGtLlddm5VIoizX61twJVKeXExO6kAqogHgdahJRxESiNUexK1pWVhE4xeeYe2mytG1yuGhLKf0L+fbO/hFnG0e9ron68FmTwAf/2R2uf5VRHk9TwBrhKc9vt2zQBEr+jFPLSNjmhjxt9tXn81B9GTV7HvUDfX4c9z2jHAfUQ3tG5PcDffrfXm6uY12+TKXtcengy3RDmQ8mqJVI2Uv3eKsUY0WlsdFHBqsGw2d/tnE6Mwv0sPqONFEc+lUSObQNj3Jfn+3Yyt8WfH/xJ/vP+fA1WR64J/9eH/xKfnbIcIgGGzzsDhC8K15grnIYOBtVowO5qFl90LjREilayShuAO19flBZaUOuOmsRl64UVFr18HXFPxgxBtV1vbRTuluRXZYmuhIJ3boaXY6OpXNmew/fzVNNfX8zDaptQQZWUFei0szKy1U9m9XQYwBhGu2lb8vm+LEldrbjNuW/ZEu8cbj2HOa18rNhau7J8LcGGyimloPclyPPQx9/sRvWjGOa7T0M4aF0piX/H1OF0xryOaR6Qzc0iNtOTEiioUXlErXlpRcNNn399QrSBeWgHjype51t+5n6vbiZhiZ5ksCAkAChViVYzKaGGK62LkiWdM3oeWGMYFto/aNVoiBxGEMUBVOB8EQAWCJaKwYobHE3VMVtTYIYjt4YVIrk5Dowu3vvwh0CpqZTGAAylmxRfa/s45C2zts6Qq6mGEjAl19CTUEkHf94TvU0e7XybWVa1dpyWWpSI60mTjFFaevyUmZzS2/aRMHgOgJW4y+EDzZ+FClJnJqiV3IhQMGyIQ2PZUJx9vQztzP/PqYMKmgvZ8Gamt4eJitLsCyhRpyWIsuTZmsGKCAqIRNRK51b00P1iCmgoMirDP2B8W5BwwF6H1y8LEShaB1oR4Du0zvEhC5oa08WtLSLVR9FXQEGiympiQ//FP/3f4kzf/NeLzjLxe8K/++v/Q1lw+KOpthgwV80y7m3JvBeTEfaoUwdM8Yc4JQRRzTqh3GacyGEJqxR4FqaqZ1GtSn3m2+YMxHMGA4ZEotvchu89pHSmMpIMi70E15zueJ02FOvDn7G3Wtt+G1eKEwOKU998uL1Y83qHFhrJKK5QTgUZnbFhSuLxRlIm02tMyoC4RKfv1AqKCvFezWtImjuY2P5fnhCfZEYW0zgRnW81vzLLnWbCeqO6MbNefaFOEIiinhBIj8hJRXwaewYOdrycW0pxWXSa9GkPfb6QC0ZSi847xxXIrePl6wPxGUBNR/N9+c49v0x1EgOefstAyPm7WTKTqdr6tLdksOeK70wEv64gv9y94O50wxIKTxS5DqAhQlBJQcrQ2GkCiWhimmBdSt1E5J8ukiKKoJSA+JMSz8P4EkK15ccaWNPbmfM95lS56ZWP29z1+7yR3miZM0/TZz6UUzHcB5x8ILj+oGH/yAlVKf+sakL4bkE7SehjqIpDKm8aGb0G6KNK5QiUCOl0d5PGUWTUOpKU01DPXZlGDNVM4aBgQ3t4R6fWgxjxYAUBqpVhHqdB5RrMTMpENiRG6Z2U6LCZfL7TZaZV/QaMgSaYAhgbK7GsU6/Vg5b/sKACSHi9mnVJ6MAyw+n5gQojdADHUK76QHr0V0EE1CvVolKJSoSlguR9RR8H4EGko70EU0KiikmmbodGCk1whLxdL8k2wZD8Rtavoia/9rUMymmCA96h5FawceUCmpxXDdw/83B0pi2TEXQeDDclVHvJlouIm/ctID8sHhR4LZKiQUIEaoDmwlwUAom2QhuyNz4YKJ6DeBAzPFbtPq/UlmlL26t+FCCTWApmtmuxBpM2nNAxEL+pmecSA5VYwv6sMVoIFaIEnd52i9QKzxzKsFOWIC3D4piJdMpGOQyLyNrhtAq+vxhHQoSWFqv2am92QSEMTt7RlRGEf47yQprlBea96p1Pg/QeuAmqfY42qOabeh+gFjy0K+j3VdvXEzpAtBlT1SmTndWLgfbrba4AIe6pWp+r3qLkJwby2LQkCoDM1WLDwapi9/8L5oEOC7gZLcOY+v82qSdYMTRH1xvqzvX/S2B3ODPA5oSEYGln7GJq1C0wkRqOg7EKzxXI6lm/09VARDrkPcRXoKbaAmJYCrAaHrCZKUpFeVsSnjYiaJzjb/msbw0bXrQyaRRWp9XNu3uLlwirpQel3eOD3j2fu2enZA0IGK+kMjE8M0vIuQqbIvne3NdslimCdKRZYj3tDTGxuqHC+xkAkdUz8uaOR0wgEXLNKXqP1pRLB3e+4j60Z8vTC38cRLvSmU/r8HCm2rvaT+biaqFiuEO/FNhXx1lvzSoNAY+9fDTb+OlQgW3tELu0aMPYkV1wQcIioe15TWNdrYaoQNr329XoMhHR4nhXgZKk2FmHoRZ7P2hdqb/V5PtEq6O0dMA0oxxH6Zo8wmw2XJV5IwcaLglV6mHoxJ5oY0miCSNvCCABvwtRRoYfMoOUc7UyzgoqiK8o6RXmuLBBfMsJinqg+9l7QsTWLTHbAVaHuMkOWBTEltnZsCp11TBR8uy/QQ8F0MyOYB2YpAS/DHunZ9vSzOEEHMBGb9RBRdkDZCYZnYPrEs6TsWAwdH5WsqUyfUk3mDRwoShW8XcX2TGc/rLcDyj5A8oCwTkRPV65BH1+IIF44F9dDQiiK8f0Z4byiHifkm4H9qHfssQzWUhDPtM4LxZDxIFi+2NPFYJSGRKdn2nbJXIAAzD84ouwTrZKFwqLLkfur0zdlqRjPGXWMyDc8Y4anBXJeSRU+RB5XsELBoTNBuvaABdlGnd9/syB9PENyxXByqF+aHVUZKVSZ9zxnh6cVYSm0g8wVZT+g7FNLZDUIyk3k51oBharfDMhTEoTszBObuoEoanpeuF7fjSiT6Snc9mMmLEz40nHFm7sT/uztd3hcdvgb+QLLnFAfB0gWpOeA9LLpL/XCQ9ZmSaWha5DEhQzBsBTEZwp0LbcDRGkN6bZTXA8DsE+Mb3yeDwC+nPGTrx7w/umIy4cdZKr46mcfMcaCbx9usM4JZY14//EGISg+7faIoeInP/2A6Y8zfvNwi9PjDpgj4jNFm6pw3paRNjcNQQwmCBVJP27015HJ5+lHlQCGX9+uot5WYA0mRMoYSqxHHpNZ5HyVgVSxfsE4MD4HpJfABPmrhdv0MJgVDotJfl7xPjLpK5NCJ0UoAfgkKHsg/9EFx5sL5nnA4/MeeLaEKwLnr5noqRehQbmW+BJw+JVZCMWE8hQZLuxIHx5eeA8vfzJjd7Pg4eMO8THCxbw0KcJxhQSgfhoRn0ybqAzs3Y4EVMIMjGvg+O2J3MYfnpFSxeVxAubQevTDwn1HBcg/pn/t6Qi8/COLl0eFrILj/3eH9KJ4/HNF/q+f8fx+j+PfJEgls6UOivnHS0P98/OAuiZ8ON8DqWL6WcZPD59wnBZ8OhSEXcGUMmKgrVB95neQVVDHiuXO1tLHkbZLu4rlh5l2SgDKEnH7dwH77ypefhxw+ZL6TWFJ7VygIJ7i+QbYfSfY/bwinL+f3fP68YcLT6k2qxcdFMmkpXNSVN/VbPITxdPWM+my997PIYa8qpXPVAAZrLfRDgi1YB0iDPRfIzatigtcidrYtYpX/GO8eh0pIL3iefXYvj+wEYNi8iAAHJFWr8L5mmj9LZ4cWDDc+i1ffc4m4mwHoAc0MTRxBYS4EZuwF1hysbWHae+1DXIs0XCRC/dgbc92NGw7dN6L+2psrmyGGuIdWsWVqJRcfa5/tgsLOB2hy7z3DUVrYPUn872kCIMkrxQ5VawYFTHwXnoQcSXm9fqPPf9qDP+eB5M0650I4PxKfK86sOHfxSO0ogVwjl63CrEhHgofH6XQk/D/VcGfB5uvTcTJA7wKvLLEaCjm6wRwe09fr5OreWj3PPaAAE7b9d9/76Do579T+z7++P32Ir5U0PuOWsIsV79/vRbbutleyyb55j833/XvezQk2uawIS2NXroZw5bUO4LnY3qFUqIH/bY3tD3P9kWIfv/w2q1nL9b2/zsacwUxbpDaRuFtF7F5ngQQTsJn06g9ArhXJwX7p5UV6GR1OrsWX7+N3QJAfA+vLKRoZKKllcU/WmkBECITiNYLbmOsIXQhNp8DdSMo9hpWtf280aSroY9boTBnqvg5gr71MnmKrW/+6n23jw1CePVvoO81/qjamD3t4TYfVihE7qvk2gLF7lfd/OLqXOtjcEWrd3bG67n6ei1sP2OLfNp3bp7rr73R7XVqrR2taOXf33qwryxG2t+v5qA/x+Z2E1jb7uflem5L/9po+hHbexEtiLDnX8/5V99T1ZIfhcSKlCpCYK9ZDop5ZAFWqiBYHcnnehlJb3U9AYCoy1YopjG5DAEXL5TZmlfb68XPYjsf6hBQxmB+2KEptDoK6gwssXtV/T3t+1UT/vIexqv9x+cL+r/9XkgGgu2hbX3G2sdMAbev2doD+dkWVgreMUbxMWHstm1R8rFvZz0EKv6evq/is0ejem8iVl6LdJEwu8+tyJ9CQ6g9EajWPiS1j01Thg0WP4BMOdG+/K6sH23zaC0cm2uXwP7DaoFSjBUhqB/zfS+vaNaGV/FQQ8b7mG+LkKQscwxlUwxue/mree8esFPK2I0rlkNCGgve7s4YYsHTZUItjLG00A7mch4RQsU0ZAyxsPgTScV21Ly31djYejzkIqEVROVWtBxABdBRgYGJnidB2+/HseZrml6Pz92g0FR78diR0MD1UEeFt0DIlspqCa4jxwRIbC74LVVBXiPqHNlCYSCG3x8/D1kA4dnWr9MUppO2+VVNGCsMFSkVYKhkHwBmo8mtKsRCGY8CuEVgb6Piz9XH0q9BWIzjfOBaL6avVo19pQOa7kG7TxZntn0hoF/byOflPZktYSoYU8YSXfFVDGyhv+1cE4ZYkA4ZIVY8LyOCKKoDUea9qxIouNiu1/bckQusrBE6B2OpXc93X6chc0w0AtX2Q2cL/D6PPzzJBQe27DnhSqHvUblEBkWBBsSSBcFELvKE1lwfsl9022ng1Dff7KL3cJoF0Xq7Q02C8SEhPC/cuO+OrDIa6irntaG07UA3mqFOI7CbLJAnWiPz2gNEZaCP0WmN7F+6ime9t9L6Awer1uZdxHobTPE08+A6jKwcvsxAYX9ZQ0axCXBU7SBkEFSn2HuwvJJrQjaOhg7PufWo1LH3B8P6UVAr6m5ANUTFDdPrLXvewstMC51IZIEoFFdMOIFjmAz9bIGWEuUIgvCyIhrN/PKnX3FhmvhFHSNgKqBcyX1S5n1s1dwW8AA8NIpAlwDNghwCkAPiU+QhCz43XmAeclRKbCbpwgpnOC24EsXy4HktFB4L0impuUBRITFA1JGcAtkKT1XzIJ2tKj9WXmvk33VfjcYS2PxvCYAqsNyRUhUvnBNXj8D77WitQHpv9M6srkwoRmM0RcmK+NFQeJ8LQyIi8yqR3SKhpOXanEsRbqmlKfTe1hiAPa0cGjXaD18F1USLXicdtTIZrH6SXSPELNd9T7Dsh4cl1E1N2ZB3HaIpUzs1yw4493CtCkWAaLZg15I3/9yGrKKjgd43uQ0GPGA2RoeLHfUEGr0P3dsf/P4EMfE3+y5+vcVQag2fJUstKPAAtArKYpW/yn/TPxAm6kGF2RoBKHuCoODYTAMZKbP1e6650/Dt+sUnoidGMQDSBcGkbtDy3cjra+tRDT1RE6BgoSmdBTjxUM47afYPACwQioizYnhcSHm82wHYWtQIrW78c2pt465DbLZU7Roz0BgJm8IL7diGdq8dxZCBqC1MwV4HKpq3dglVMmeC9uSzVsRnsmGqrb0tA8UR4HCy9Wj0UVkLZFm6ENa2tz0E6H4jZmVIsgbpzN5ApEYFRJJ3gnBaEdYFikhxqKv5al+/UMehfRbAs8Wsldr69bYXT0xTJKPDxKWqJ6u2ttlrx7PUWTAyr9R2OE78LF/PVliNpwXpsSK/2aFMY08kVBoFGbOgCnsU44lWF+nE+cx+c+6x8VwoXmTzBClAy2ZvM22CVuQGqKtwc+xzxJBdEQFSMmZOn1LxtBqlkIuwTylFChVxX1AEyEiQlc9TQ5xx4L/HR/ZT1kg7GakU2IyrYrlLWI+3iEtFel6Zz98E+sDvjBVxKhgebL5NtIFZ7tj6NZzM5asCGsj6GZ6o6eFJTh1is2vKNyPkOGA9JqxHJqlxsfVuiWmnI7reCJCeVoRcibZG9hEvbzeKxJbQxJkocDyTkVQHJthlF6BpwPRdRXh4AXDEetxbO8MOYVW6EQyCuCjSeYULBnly6cmfC5LGhZ8bZjKryt2E+d3AeWa05eExY3R2mq2t9Sah7AM0dLqno7TsabXPyj1Rb4nnNmGDXZj1IAPA+nYH7yUfTqSlB0tW4mwBeeZcej5P+PfrD9p8GsaMUqYmClQHCm/t3ncG2vw2tiLCcKqYvr1AlJZH9Gm21jQRpHMmi/DhDKwZ+ctb5NsB6WlF+u4Jkju75/YXivd/NmD9KuKffPlb/NM/+RUA4LlMmGvCLq54uN3jm6cbPD3soZcI+ZSgFfjusMO3SZuIEQ4Zb//4I2oN+PTbW4RThAsg1lGhByr8LpIQVmC9M7HQopAsfE7iYA+fAsZPxnA6kokyPvLMW+6AclDIiyCcOb7hOULHAAyVTL6pYvUC9GxnWWIxIX0QjA/0KF7e0KsWbxbEofK5S0AdFfnIHCP8Yodz3CFdgLiQmjy/rYhnwfEXASED81syr2i5w3u43GujTW8fdV8x31eeLWvAy8MeckrGVBGkFwqBlXeK3W7Fs+wRVkGNvNawAmI9zF4QIRrOJH79sMMqTJalCvJdQf6qAkvA5YFMz3JboKli+s2Aw2/Yp3z6iaLuKp7/s9rOkZdf3UKyYL1l8l+OFUiK/X7FmApSKlgSA/Q4FYRQ8XSZ8Bcff4j76YL/7Z/+j/jFyxv85b//MeI5oB4rMFaEp4jpAwXA5tsAGQpwt6LcAdES//llRPrVhPFCZkXe9fVUdvwOspKlOrxYHLQQjX/+SURZIn6fxz9IkutVAQBUzCqkFLTeMgvqvHrnMZeLD7HPg9UUfx9PeusQeOC5UrBYj8ggqKeIkAIPaaAHmWAw7r1HiJ5E2M01a5urxMc9YyyY8D4jbobaKaQQqKqJCVggXGBUMgH20bj02oIRVmnVxI2kBWfqPckmwuUP9gxQ1ErFNuhqiHnrXaVKnaz0cqu71CvLlozAlDdhlXl1v9NAMRQIIJe4CYaU98po2YjBPHvDRm10c6HVqvdLRhkC1lu+5/CILs/vX8i+oO+XfgA1JHVbrazg2KkQtXWV2dKfG0rfAEjprI3K5qhCC3jChkq7aqOkqqH5IrUHUP7HaZ/tplgVzwo34oGR8CDTSCS82TsIjKnAylgGhcNacOhiJIo2TgJsgkcYPV6YWGbelzqy0thQeL+8IGgKqK/QzPb/G+SFSDEa1VJ0Q4325wdAEeAVe2nXqj2fbGOMHoS7SrLIZ9TOzx62zq5+ZAmmbq6D1+w9gmLJrR0kW7ZEYzVsXiti95o0vdaLu7239lltnm8S3JbsBE9arfe9rStaO2wRtJasv0KvxCZNq0577uJKMmYvcVXxt/4evmA7UDCkKPQkyOdtS9zjtQqxj2nsSe7WWgUpfg+ThZVvETJ2JCpqBnvzHPnfskacYeJVcAvInQIvxQXyrLCRAjSj3+fgBTsg5M21e4L7CqFrnra+b1lyC3Af/Zw94v2g0hGcaEJ1rtEwRl7f1eeEXkDYrhPVruC8+f78fLu+gJYQ+jVokT70tUIC/Tw1CsLvWDfbXkmUykKXXwfAAkz6nsO/MsJv72oFrlYU9tYIoCfMMQBCxwNawiUKF7k9ldVlEARyKeadPfZ92YfI9+hChMWTXsndLsT9oVtCkvuerIIuiufj4LZfG9cEdZXree3fxb4nUrQqkb3efOL966oKajXrMwAhVMYg0c4PaKPRmqMLABPBmUAvycoEiImMoO4YwyRTjVVDXr24FVabo4Le62qUVaKEptYsauwlFtZdODGoou5I0a5JgBDY/mO98inXhow0BBCwBDCYR32GzAXBxJk0hSau5PtAuphtU669zzhre6/meWxiht6v323OuE+4C4K8hu58Xnuyade6XU9u2Qf42c/77D29dT9gvSOF2dlTdaAOTEtoK5r10/Vn+//gKpbdUoqbuJV992AWb6L8XhT7IYNlXRLySu2UYbCzpm7muBUR04Xxb97z/oXVvGJrb1kLu3RFaYeg2T61dj0ByhgQo9ja7OdbOlXIErDWgHfjCf+b43/ARQf8xeUneCo7vB3PCKJ4uOzwHGhJlk5iLTKBzJ0E6KCAAF8dX1A04NN3Ny3W9HngrAMdK2oQv9mQlYWsmrTt8WERpHNfFyzm9vvhbM/G1luF4YatHwCdQuzooYAoYeXnlZH/1qFi3GVM04qXukPNZBvUkfclnXgexBndq3us0CWyaDWj3aN4AYYn9iEvb/idxM5sv/YaFfHIfblcIjQzhvXeZFeqbpJFavMjANXyo1Z8Kb4OyIIFQMrvdg4nxe52xrpGZIzc10YWAyjgR4FXKmop4s3KJPPDHvGRuYnb/WCskKEak8SOFWOaBUP1lxyR6w5f7E/4x8ff4ilPGB4j0rPgslMg1TaedWAMr0kQh4pgzIYYK+bKhD+6zbnrwBU7U1OF1mC2WrRJHE6KcwpYjx29/k89/kGS3Dhbr1aJWBeTzrYNDZa4uuS1BjafU7mTkXIoverYaDW2wQXrVwDQK+BWidMkrGDaZg2gC0HtEuBogEhDh0RdSj+0BadDRL3dtyA5zFTorOZpCfvcckiokYIKoSjKxkII4AYohf3Fwfs9qwkoqDJJuT20gAewIE6VqqiF6BWmgeqAmUGJ95hIThTIMMqjKIj2mojC1ldPirJh3QJctyMqNxMDiXWTcA3p6ju0/7feZvaqxZ5M2mcgsroIHYly2KEQPAjygC7RRoMv5F+esPP5Cs2c7Kz8BdRn0lG8X6vJpmfOKZrec57kAymKYTWUMQoRnVwh2RBdgIldokUT6XCWrOysT/VsiWMu0HWF5o21ClhhTmdBLRbrRkGtrKSHc2hVunSGXZ/NU6F1wHoM0Dhi23/UDuCNB16Y2edddomUkrMg6Nop45HzSA4FV9Y5ABpj4TVVz1E8D+L937nCKZD1Zk8bECuYkPLaAxDSzMTUuxm8NyE3oPW+h3XlARxsx9481GjYTj9sCdp23kUBwMSFwS6sUBF7giGeCBky7X3Xbo1i7xfOm+IVQCaFF3Veo95hsy9s6H8QrrMyBvP7JsND7XcQMeE2o6Gi398yBKMysnfclebLCPbALLb/DEoE1yg7w7NZIpysP3EFhhOD1ngujaom23W8Re+Anuy2CRx7krNJ7F8XQ+KiSCcvwHmy2ZNvKFpFOy7aEGbfl1vrQQLW26EFrQAg0fvwGLBTbCcSVYWfE2Ztotp9j13PwJOWbTJjiKmkSAXkUiyBDW1MHD3y4gOAJvoHK1Y666YNRd7M61oRbS7pEIHRi4r8bLhKuQfmLpK4OWfY2+vny0bxXKQVHR3hr0MEjAHUFHhNP6GpwcfQVai3j62qtiG33nOOWskiMvXn9rmmuluniGIoX5wLVBV13AMKxPNK9MiKQYoA95RnHz8TrnipEBWkCz1OHf13r1EKA3KP5PzuiQKRttpoudu1RKaCbb65oNlOVd0ksgqdLAm+zNBl4Zx/pYwOL0xVAOeI8+xiW7B5wjUxPASMHxlYe59k2vhs5n1o9Ewv2selUgDREsD5HbVMnF7n9OI6yJUNDABMDwXjk3SlXemvq2MAauK613y1bhkQU/xJlAnzeghXBas0K+KFiUsZrEhedhQ0suShDjxHAdtT7ayibkSAHsnyieeK4G03hkSXr9+iHEbuUbNifCiIc8V6G7Hc2D46+t5rF6WKpuLevgzjm3I0oa0UMLzUPheU+8p6O1B9eyYLIlrcVXYRdQDiCiTRtt+6G0OwPWzbLnd174udeQIiw2L07yBNObypYyuapdTum4D1sqda/o4iP/WZfZvj2mmo7L0HFZXXCqmRCaBdTx0F69s9Y7jzivjc560OAeUwQGJAHDl3JFcML5lskCFBN2H9y48ixk8B3/7FV/i//dEexzRjrgk/f/4C5zzgw/mAy5pwt7/gv/hHv8LffHyHy/s3iMX0IyZFPRakmxUhVvzy4R6lBKAKdFTkI+muKAJcGCOGJfSCBXgW5IPFoS/cMC5fZ1x+qoiPEdN7zonLF3w+E0l+/noLu7eCeBaED6EXssHrIwrZf6aBhQMAGJ4C6ixYwg7LNEAihcF0qLgcAmQNSA8Bcek2YWEVDB+jIbgsOiz3pp4d+lrlvkDP3DooZBFgAVDNdUUUcolEXFdDtc3qSCow/2aHx/2I/a8j9t8pzl8K5h+ujFMRTdeF6G7dF4SbFXWJiO8Hs9JkDKECXGQi4/GZ66wkhSTFelScv6JOwPAQUM8BeaDacTvPPYGuwh7fNeBljniJe2AJCBfuI+vFs2+u378LFX97+AIP854e4ztFenfB1+8e8Qu8xdlU2dLHhJoi8m2BTAW6BCAHhHNo1O6yN2eV0QsHQHo/tJwxHwSXr4iAE+SrqPOr4v3vePzhSa4HRWdS7OI5tooKK4awCkSv7OU9jK7D4ImB42ZDF/QKpKkAsjIntqhJl62WzMTZehM2NKq6S1eojFSlvlBFp6fZg1xv2kOESwbmCp0AiPXJmNDUckuUNp3FhLLQ0FNuVqxCw6qesN7QMK9Uob7bo+xSD/oqNzHSpSnMApj4ipqICYy2MxerAqaOoImg7CNqlKsNpY59Qw25i3fUXaLwUVbEE4UUaHNiCWy9njS0S2JS2AIfpzy5/5/1sXiPRvM73SQTNQbkvSVAmcFXTVbdLQx2gjCJFOUmBwXqREW/aoIB8JzC0C0vjOQdv38CEFWZ9BtNuqlKA0RSdkOzU5IXCprpYYSmgOjiYJqBeQbKfDUecVEGEdt+jMzvFS9GRTkDYYYFO+jBcxDojsnuVk2xoxcMetUquRRw4PwLRSGrqUEGO2xvqCIb50JVbZ/nuULK2hKCqz5UTxauEhu7V7uhBRV1tNd5RT0rQu39kw09jbAq5OYzgC4GEwLcnsgZDAImug2RclEfbCxZRCioAyvGiLTEO6zV1NZDs6XwpD2eAHHfSBFIraRzbhLfplbtCeEm4ac3xia5tQIN7RporROKIsybSqoh1iEZbc6S3GA0N14n1+P4XCiWYpQkgDTfGvuajTPn9vBMak60BDesyiCuVO4HhdX8KwTO5nhfwLaevTfVbXU8QXA0V67vX7ACkkd/Ujt1yh/pzOBOihWyokIWXicVLA2ZOooFddZGYYWtaNYwkJ5serAZ54IwL1ciWh3VCc2D1+2zxO6v1sR80mnCoh3p264BhSUZ3FDCQoS/pq4i660evCAvkpoAotH5mwWKSGttaQWHtOlZdWE7Q/YdaWkFxSStaMiebSaRVcz27UQKultldWZB6CIzXrS6GI3XrcWMgk/KP++7DqkXMNOm2Asg70ibvVKoHY2SfF5pazMO0JtdY1uoWFuACUmS4hmQLlRtTZEIlRqYKtWoZ9nnu91brzdVbcXf7RqTir6enamQc1/L1ussQaChAqcz9DJz3m/XiK2NtvdeQlNKjTPnpwdT6VkwfWKxdb3h3Jg+KdJFkSdSIiGw8xotOZXEeVYTE6OGUDt6LPxd3ruOBX8+PmQWOWOPO8j6InMCk51r66s1W1ispLAUhZ3mXbDkDC1WUSFCXUYxVDM1Sm5jgdkZHa3tyOdpTaZOXIF4IWBQ3CJtDChf7uG+wSFTCCo9L6jDAbgx0c4Nks173RPXraIxhHNRbI9Pp9J/FxiL5Z0gXQKGl9Bs1DqiFlrhoY702dXgVOhXc2Fb4/OisRWxyyTtOSpoIpkQp057sqvYvQeGF8F6Q5u4OAPHXzKhXe4orOmfReSyIFhcV00Nu0yMc9c7JvC7X19ob2YMjRppRynBLM1Eut3kWo3F0cP6y5eK/SOtbB7kBv/d258h14Bvn26wrhHreYBmwZd/9IL//Vd/gX8V/zH+P/ENu4dGWtsNtwt+8PYJT5eJlObCAqimivF+xtvbEz48HlB+c2DyZXopBuRS7GnHRDh94mvHn5zx5z/4Fv/2b38M+WZnKsc8D25+HrD7YEnfG66r9MwC8PigSBe03tf1xvSAtv21gmb7lU6AzizIlykA9yvG/Yp4qIih4nwZUM8HxssDmTVugaoBWG55npW9oo7VznMCD4ffcN7qF0Z7Nrs/CFBXTuJw6Qku15a3aQK77xjD7L9V7N9XLPcR6ZatDWuZWDh4u2B/nG27r/TwLQPixc5kO8tWSYwfLryWchQg0Bf58o4AzPhkAsBvGOPRuxktaRUFZA4tHvVChRjLql5ii/MB4HG3x2/e3uJ5pVduHQVf3L/gn777NS454dtzRDhHTN8xQbgkOiSE59QELGE5Yra1V81WMaxAfOY80kD68vknGTc/fMblPKK8DKgvv0tQ5Prxhye5pVjwb2e5b6qmslgtSaHFC1/iTfWNgiKsnJLOY88xSkeWuKHPWABpm7AH/QUBwHhNDbQNrgmiGN1DAq4OU6dFOeJJKx8iBWHOzRLDk7mW0AEbSqJPNq9+Wr+uq3cCHWGxgM1RXhVhVd56Ad2S55ryFoAB5rlHqyJHCJmAqPXr9qRT7BDlAPE58IRpi/y0sTL6S4pQDPAeSR+nYMUGH3e3FSij9AZw7fc2LrEdXj4u/l4ADwgN/WALRRHPQNiAp8VYAG3jhPfiMglIZxtLq7yKCZa4t2ULhP27BlY9Q6H/sHspcgycXhtMoXi0ki/a60PRZiAehYd19O9taEQwv2LeN3QKvuCKwtcKEzZGXAss+Lg4URlZ6RIrZGwR/LBWQAW1KGPUWplsRgb24vPmtRCVJZ06EXlxARcdojElOG/ImAADZZtGMKKZggrIV8JHFQzefcisFxJb1BToLAr3Kt5cnlP/ifwHSwjsd6Xa4amNgrpFmKEMStzXFyKGNDFZhfdoevDvNFegXYPT153CzSCnqyPXgXNdRn5mXI2qJArNfS5zkLTtL2HtAVdERbpQ4EODolRBiKBAh80j2niYF+NqveCeJPp+81pt2C1jsI3ZTCXK2zY2IkPq9lIhYKs6qyJIc8XwLAgTUaGObvT5Gy/aeudaAhqB6nvtdv9SD+77PlHGwOvbbtm+f6WAwVB5/55+vb6GiaTHaxqrt1VYXymApq6vQ2jrp1HxA9ew24kwsQjG8qh9jwVY2Fl7JH5FF8PmeY2/Z8Wdir4HBa6dK2VyXx4KWsGYgF5bpy4C5erMPl9f03c9KUyRtF1XCt+cOxQU4rnTFJyHCBf1UUv8807oA+m3y8apHEfIesN15ir73j5gZ3GNVnwKnKNBjP2ycq03JWVDIuKiRtO0v5f6uYq0KgtWbcwC4AyqzXrGmhmvOZItAozm2b6sEO2Hi04jKXDPVrDyPM+GK1r/ZCjcm52Q4gG0iyY6wudtWOe3EeE2XtHK/ZzzGGHbsrPGgNaeoNQ08TnpRX1HjurIAqOoIdammi7G+oIqMJJuzGKDndUDGPeEHnNFt9uxAkIde9HZrXg0yxWzSzxRz6b3oUDKCpXSmC6dUaYs2njRz0H3yb6T9fQ65VcjUCaB9yqzV1U2ivbMmLwAG2eLSXK/L95K4zZCPn+axoCCNm7eCmBJdxnRKLJSpO23jYTk8Z9wT04z38cV5ml548UxYzaeYYUTtXgIDZXSyHFs19wEtLTHkKaIXQ8jxNcoeH465VptndUpsY1pLpBaodtDVWkn44XWv/ntF0ipYBozhl3BUwkoGvHptMe/+vCP8R8f30IHRTkA9VggO964T6c9liVCVwugTfApRiaLAKxHlAUiBCrksnm0j6N7284vI/76/RfQOWK9UdsveCMdCCuTra92D6wYMCrWW9rxuN+2FHSEPgHrSEBifASQaWUUB8ESEmYAEitiqiglQPdW0DrBNFeAGg0xHDjxaQG6EdUToouAuSTsACyKoDanZ94DyY7gWuIIJuY+DyDA+SvB/C5ieaPIlwSsgukDC28XGXCuQvAjB75fsDEGYzTPuRqTMgPpMUJfgvkgAyXaNQYARVBeEhAV+a5Cg1IAoAjSAxHsMtFdwSnTGoC6q0BgUVBWQV0ifv7pHV7OEzVECvDh8YB/N/wQn572FBez6wOAeKHAWXoWDM9cd+tdtd+R7VMns1RUQbQ1mW9YZAyXgJdf3AJVEFew1fL3ePzhSe6SkV4KxsfQJkBHcI3LPvKwbwfIxSbJkdTlOgAuiNOUiU2EhmqBfJ33+owvlYIGg/lSKbDeGN3NDpTpY0Z6Wa1azZOFDK4enciZ9kRtGw8B+c0eZYoYHmeEpwtw3GG9G6xPxtUMpfXKXglkgMlHWEoT6+DvYg9mvI915YRBCtx/o0BKMgP5zc2raHS+MjHhb5SuimaqPu9JCepcfia+zuNHFKOSdAuUJmoFMEC4LBRTsU1dYMG0eT32gRPkY8C6D1hvrMJducFLAcYd+0uGc0U8Gz/fRCV8sIeXwuBnoHCNFGA3+z3nJrC64IdVmqCUSE8XxfBSMT6xehlPhnBYz1i4ZKLnuXTk0tRVw+kCmRfofkK9P/QgyoIwDKldph+gHD+KiQ3PijB2ZCtetB3UPvebkuOA66wj94POCwPR3qcMaAqdThfz17E3O3akoJK+E6ygUoMANSDkyo/bCsy89tE0dKfcTKhTZGEgV+gYKCLijInghQO0dckijF3aadO/6OJt54Uo60ChF58r/iCtLRGJMzVO/zmwSZIHikxoUYgw4WBQpd1HsiFjHGNx9M4LZ2oHp11w3Q8WCORmDdZEqRzlFTBgj90OZb2JLOSkXjFmvxmN08MKC4qsRcDaFLwIEOfaKX9mE+FjHNaOCjTKnPgex7YHyf4etm9UBXLtNF6Rjhj6MvH7EZjgas5MnPxelWI2M1a0qNe0/OGxYG8oxrrfBCnoBym/s88Nm1runenrFX5vbG/cFBgBQdl7gM85vR6IZIxPPbCVYohbZq+Z96LxQlPvTVVaQamLSdmjHkai8i4cZtcEoN0L9wPWJETrsyLMhcyOaImpr0lHa6P9v1WjAZChENASJqfyS7EWmcTWBmxF27Z2W0ArBlZHWVNoon/lQKEzWd372wqWuTb0Vo87CrPNxiDaPlxsDqCnuWoTmWuMhUPAfEsqa9hLO084ZiPyMSEstK9qTKZoqr7JCwU9kYqrYjjz9d6bCbHES4F0roiXiuFxRfrwYsizi+KF1uYE15MA2BZw3NHq77w2ESo5z3Z/vDImkMOea+Dp+Wqel5sRw0mx/zY0b3bGKxz/6ZMJzJj1ITZzerndjIujEZbwXt5xLQ5PgmFDM/Uij2z2rOJnnyPbhftMLpHXlDYJoiogAdW0OWJigsvERlthYL0dsNxQ1Gt4YWa97qXFSnUgwjg815aAaQSWY0A+MEEbTto0RTwOA5g4xlNuNNpWhKoV+d0R+UCmm3sF1xQgY4KLYNUIrHsWbstkyacNah3QLPfGh4x4ztDbgT9TQTgXs9ghOj08lSaClffeky9AIaotVZo1EvdU7pV538EKznuiRFCwP3BVslQuaHsFEVxe6u5DwfiwIh8T5jcJZQTmO1LA01kxXBzRF7hyuCiL8lA0C7lo7+8evbJUY8xYId6S9Pnd1NgRwSz9wqUwvpjYErEeEuokSCeLAcKm97wK1ne0qktnQfrvD1jvFYf/4hvcTxesJeKigoePR/y/fnvLdb6vKEdg/8UZN/sZnx4PePnuAHe30KAINxkxmQJzYME9LraPHkhLLc8JUUPrrQWAuifjILwfMP92hOwUyw8yJAekpwBZeT8ugyAfTTRqkZbM1on79MtPKtI/esH8PGH8Na2DghUSzj+s0C8X1O9G7L8h/X78xPt3WiIWS2TXqQJREd+QQpi/2WEolrTeOIwJoAp2v0kYnph4k7asmN+QwbTeVehUgedovbekSfMLW3Fo5vi45RIE7fyc/3zBl189Yn44InyzQ3oW3P01e+Gfloj5XUB6ZsJedsDp6wrdcz/A7M42FarBCi2C6QP/Xt6YD/CuAvcroILwYUBYBPmLjN1XJ4goQlCczyPibw8YXoDT1wrcr3Q2KQKkit3NQjT5wwHhOUJeIj5d3kAWwXhi3rb85oCfP0yQS0Syn7lgFtF4Wq4NT4rzDwTzVwtCUixPA2Q12nQAN9Un3qf8owXDfkX4dze4+Y8UMl6PJtb5ezz+QSyEQt4Y86oH+QKtQPBPsEpM+z16QqCx8+E96w8G8ZcBTdVQrGLjPRHs6+zVhvao2qvMV0E2cCXX8z1j1HpIhwgZB1JfXZI/wg4ftEquByVbqoSPS1MUNpGp7WLfjl8LspNXxl89xwNw8WSqJ0HqAkZWUfZ+xYYGeNIYI9G/ldekKUCEKrmo6P6q8bo64iJYLg7kwSAramgiGWKHQbC8MiRBKNbfUwx5BJiQBa9eEkkKxZOcTueqkQmgzvaZVryIVvXn4Wrj6V6mm/uqhgS+FmG5EmyqYEC8oSj5eLfev+3brhQhIPpqyO6Mds1qlcpG6fAlYcG9RCBEVo+b4TmYMDl9m9NVrpJj//6a+xiHJNR1ywHBev0oqMOEnoi7BfcKOKVY/Pt5chQBhMDe0XFDP4evBVKOgyf8Pg+CjZEl0FeJtEhPrl895FWhaZuguW0S+6SEAsAKqARL6jYJl81vtdytIQ5ecBABUFvxadt7+7oP1dWdG6JlfTfuW1gHafsQKXsMHvLK+9koaHYPGDh2EZs2F5TzRjJr7WHwBY12v73w5P3l7P+vLeBsCT023/n149W4y+Y7axD+u//yaiy8TYKMAiCmvu63BQVHdn1f8sLYVcIOtKRdKlBfbX7aPtMCXbNJqAN7/Ni3awgJ+rkhpcLtsrbq811sTNuc0s33buwJO4OcseDX6cW1zyxMvm+cdbNvFFxfB2AsBbtPm/YYF55RXO/z7V42aouhYCp9ftof8TkmMG7F9zwC+hrcsllSX7MNSRZDtzbJWnWkWw11rWpokABVrlsF7Ga657AXxq7smAT0qPc2evtVnLUH8D6u4Li60OP37SPb5179bcWuq2sTIWX5VTtOyFak9F7ZCkTvqTdbGhFxEkub6x6rtCTXxtsZLzVqL95abCKigPXhe9GAokxoc8+hXhcjc/SzjUm1omNbdz63QWaOnc28n2jooye4V+eJvb7Nn+2WsGFgtXYOF9n0sYjseVdUQOLVudESmiFAXIk5yfUesi0EvVpeVJ/v851uBp3d1ijF9npPxNuZUW1djBa7bfalJnxqFPBiPqzOogGYLNXt0S/9erl3bOKV4utemLwVRc20nWr7ZLXidOF4urCQRjGrIhuwDCL1FV14bTPe6nMHdg5Us7Ksdh1eCNrEwmG1DorAGxqs/zmXiLVGE4oV6BogS7DzT9s+pCpQ9XjE1YSv71m157h+Z4vLBksWt48KuIdqKICujOdhGAgiUURRUBjK9nLa+RlwEHkWi9g1BbA9MhmQlRTB2iWxvefiaLuYxSNnf12datHPoPaI9vNByegQ5ia9kCtEKE1cSl/Z9rQp5HPeUdhNzCKJaLiC1xayoCbtyuCL7cH2J2RpHWIalP3cY+UUHBg00YOan5VvCpCYyNKOyGwqY7/HpQiFEB0NXgX5Qhid30uwjgkhVFrfeT9wsd9Hi21WgUhEnAkEeVsfgPbeZG2gaRyogvNh7ms1GAPALd5i5Pfz99iyyv5Tj38Y4alzxvgUrefGLs6+ICt4bM7OB2mJoicCUrmhlIlIQD7ahb1wY2CQuflilRPdrSvqaI3qz0x+0szNpA6C9XYweuom+BYPOgApsfWj8otIo/0ub0fgzQgEIO9YpV5uxHq2eNfiai3+VZuyZzSbo045I2qmiRV4T/augg2jkrnPY01EOEKpcApYC6SXvmloAPJt6n0/8A2YkzmsFXGpWO4T1j17pIanzDGfOIHDTGP6mkZotMFvFV5WKHUw6yI79OogWG6F1ZSdUzoAPXCc1xsugvIRqDFiOFekZ+6AdU+V1ThXsxqq+Iw+rQyG0kWx+0jK1XoINvk3yKkfhtaXVqbY+8zU1CC939gTscHUCmNoYmXtsfGa1CFBNyqFyAXjp9nulbRkpvWtGdVyPXBctqqL7LNBqxq7EAbgAaQdIpZAeCzma8kPaNL7+DdVTmld5UIGoVAAqdE5LcltY1u5QTlFKqwV+RAbFXc52rxeWI1eD9LG3IU/2lCNzMjDWhBOSwtwNUUGXENkYmq0yGaXtZYW0DYLoWZVZMn5EBtyXHeb5ADGXDCFTxd+aslStv7izQIJrdijRvHWbjOjVJPUsfcmUsmTSuE1cZ6XyQo6oyE7R66P9Wi9to9CFcZFMUQeRHUMDb1tKuyWCA0nWotJJTMjLIp48SZ6aWtQbH3GyysFXZvLThv1Xmyokj3iPbj+J6U2p8lqiCyExAhJqSWZAIDThXvCkmydVUt0PNDm07xNwSmQLiCx1RnTTUDn+gvbNcNbJEb/REuG172g/nDg/H4xRHyJTPrnguisH99DZ6AppG8QUr/HqIoaAsrO2D6WADRV06ytnaZGdGp20ev1433lNm8asuyfs33kAikV9bBDvRl5P73Qt2NvtPdVI/b5VyWi0VWTIOReqNXt36Z4ye9q80YF2NjEIQX2vNu8rzd76BQb+qsmMlWHgLIPKAP3r7LbnNNKRNCpdoDRaF3ccCW6FJfcqK+uXu1rvxwGE03qfbCenISzWeBFQX53JANiMTus5XrPaUWaqsB54RlbyjU92ea1Buk/HwcWcHUBvrFvMReMDwXQ2AJKpydq6Iirr2vShrmHn78iytR71qQVO8MCSGC8s94o4ixILwDAWIWUWP4hNdgCwZ2iaN/rpk8Vh28W1Biw3pGuOjyxh1MNNd9S7S9fJOSdaQZkYDkKzj8Ui8H4eemsTSwp7501hMb8irNgOCmGJ9+zOSakk9uePQTmvKPT62B059ASsLjw5/ObCA1kwpSRKPH0SBZDXOSqGBZUMBijo+zZF152VIrOu4j5Plqfb6GVpFghTBXpZD3MiYclLQUraqSdUo3XwIgr69YBWO4U+Scz+0z/44jhCabeLA3hDxnYvy+IM+PRy1cjW09MWLK+MCmJi6nZrgpsUXy1XumsTddFxTQ3Eq9f1trrt1WbO4V/L/HkOlq8UBXhslohlAy2OBeE5xlhoyVy+I3ifBSjiVv8IcCHT0c8pB3Wp8lopZaUBLC3HsDlNNI7tghtYVLFMHFvcQXpeU0YUkHJAcnAivASoTng5sdP+JN3H/CLh3t8/O0dZBEMT+wPda/a4Tlg/BigA7DcVfrY7gtkrKRGr4HGKGZflw9dZOryaQdkQZlIxa1TAQJIsRazNB0BTILzV+wvHh8Cpk/spVerJoUHzuUyKvINBcPiUyQC+XZBiIrla8WyBozfRRx+Y3mE7Y/j3zIpe/6p4PyjwtdfLGH0I0m5BsuokB/OCKGiZHrIogh++8098Dhg98gxfPojvjbOZO0xZuf9GT+JtVAR1az3GW+/esJlGXBOeyAL1lveU/z4gj/94Xt8PO3x8RuqeIV3C0KsQA2YzwNqDsBCES6A5+P0QbB7n5rAax2A+R0F3cYMY52Y/kawfmoA6YU98rJy36nWz9yKAgJc3pEKXYcKPSUgCw6/jC3nk8pccX5rFGuAxZg9+7Rd8bv8fmzlf5gkl31nNMAW+yLeDysqNMMebKFahbBV9QBL5Iw6MnFCxBlQ32hcJNmS3KJepSD8D/XmfyZ4LvajAgTYQQ/tlXPbmJsIjffbpK3FA1p1sjrSnPr1eKXkNXqhjpABLeDygCXlvvHxOrZBmSU034fAW2Lu/b7+OQCa5UC34tlsrt67YfTImj0wBhTcKCWzglNNKdopUK1avLE2aCjXQIXBOvbKv0Zt6GRTRzszgI0bkQxHyeKMltyG1e+JWvDHL+1JejO3b2IvfaxZybP331RtoZSclyGaoFMXqGkI7avKfrMo+R60D0pRsmRWKFeCTgCkkhpepk3fhhU8vZJYbTybfL39rvVsFN6XhqQ66mHzK1ieKgHs5Qy2yaTAQotKQ7E9QG/XGYQvbGh1vx+esLgheMgcBkcDGvtiM31b370LZfm4AWhIuOjnPzfU2VG49rsgUC8w+LU5Bc0/WsEqsCfHfq/9EYFt5OSBAftKffPh+3ofuvhYBF/vPbAoPs8HdOW/kdQvf4QMlEWs58rQQkEL+OPWRiigI7KiROGFSFZLcj2RcUTJ7bDQCwVXiLkjiP5zZ5DEzcB48L9J1Phju0+bTUcLUbVQ6DnYguDcaYu8PrRgzdFPDyD72KMxbdoeXvp3BKzAOW6DabRCZLCqdciAaIBIhZRuZ9bubaxX9307h3xc1M6XK6XUUey6BFeT+3c9qp0hqp1a7OO9uSf8nrXtL631Y4uEJQHqhlWynX9i52HsiIO/7vVjS26AfYa66Jyhbe1htGKxBLmpgdu98ySu0/I5LPQD1facAEPpApNcMqyYWIgYIrBJcusYr1S14T2HSt0LyZViXilQVmBB26eaFVnoP+Ob1j7Or8fEtQiqkqochIW3TdFSarXzJTQ7Og1A8R77aHuuCcV4EabAC+XorDOxpK1dAOws4FyJF94kohdmP2Molnu/V5HrKSjCczgppEQgGrMjVz7XkFEXx8s72mqkM+OEOgDr0ebrc0dVGnHE+2a9YOKIc9HmN19MTI9oTtdAuWL7uG2Xv52hls7O49mCTTFJ2xm+1TlpfdFqsVVEY1Z4/BWDYrTPcPQ7ZCA0a0i3EAPRTC+8+fXan3YeJ+7nu+OCWgVlIu01DmJJFaytiPFMWKncnCfu92mufMvMYMlR22aNKX2cwpaBZpuTr3XOx03cttlPWJzfPG+7zXmrwsx2siZCuIlrkokcdVaZxaSXSPBklStkDqJ9GlZBNQ91iURH3RJpXZL9nvoSAFDNviesRBrHlPGj/QMe5x0+Bo/1DCkfBSraCvcFdm+SIu4LxmnFfBlQs9gcB4uVJmSrQVmwV9DeKADYF4RUIVEtxvA4BSjHCt1V1GdplOLWenPh+9RB4ZZAwcWWFIAowlRICY6R/doCxluVhbB0qTitqSG5XUTTx93XCzBOtPDJmUj6eknQC9FP738tO46FFDrVNJYg7Az1+xkVMlQcRnKf592AukbGmhW4PV7wo8Mj1hLxsfLMGcaM/bTi5Twi5wTadFr/rhV6hxMQZmNOLrAYSBptn8MrKI60jxbTPAUKrxbunRDmaxBta7OOoNJyNUR/DohnKu3HFY1F5owTrYJa3OrIzu+ErZTI3/v4w5PcaYCsFeklm0AUk4p0ulbfo13QJpgKpow29onI5JGHwPigGF4Ul7dUqtMI5B03iGrVSEcO8t6CohUoQ0BcDY3KimJ8Baqisoc2OKKqMPsOM1W3YCLOFesxYj1Yj8yub0h+47ynMpj31fCwth5DfsEe9NQkqFOArpUH2yaZqpOhSk2kpiJWKhPXidfkfSiuTOo9uQBMAVH4J9khlbk5ln0ka25R7D5a4moBfnqhr6MGQd2nvuEGaSgvL4yoVD70e+f9iTUB670i32fIruB4d0GtgtM3R8RTwEWIBo6PEdCJgYQXFOzABCz4U8ARxrTUa1SgAtN7LuIycT4F84rrhRJLXAJ7VuKZljs6ROgAyFwYVK7Xfbp809oOBwqCVVC19VpdGbk2+w//DnVilZ39koJ0qWjUdA9W/VAdXsXiyiXhdq9StNFh4YHUVWACHqZ2kGoQrPvANbMqYhBIrACGPseUY+MFAu9NKrvE+3oMtJqwhFqlV/m31+nqv04pj7Op/FZPpq9FbcSUql38RmAoYlsXFmAVEFkM6OhbJWW2InDOew6ioHn8vqMIUFsDNnYYU0NBiTTx4FfrtfXXSVVgBa5ssabYBF9acmt/8h7Ix9pM7wGYyi8Pda9Oe1LGpNd6cx159ntfeQinS0F1QSnfK8xiI8yl92fu7Dv5PfWiQlGIlv5voKlwXqG+UvrYtyLHJund3uvEPsfxIxMiHXtCSdVfox1mCttgcE0FtMMHvr1ZwYQBhAWqKymXPdAke4dJrhgdqx90Yn1gUipihokaDaR8zxkoZCzoGJqqekPtAdQpopr3Z57Yf5l3ltg5hVO5rkLRJvbFmwAb40rthhfa52A3cq56wcBEypr4GoB62MGVusOcPy8ENfqjrZlsA5aCJaD9XnmhioVGQSylzRn2IEtL6tyXV4dg9m702gQYeIm10NRIoTlHcJcjC5LzW8Fyb4FLYNBaR85vF3IO2ZZsptOA6PclmoLqok+KpiK7LeoquD97QVG2cxybooC/ZwiQSMZYKyCYGBeVo9frRLgUYF7aWMm299zOFi+uDM8VGoHlJprwjRXdR04E1xnxNho8Cc++uwLJnb5dd0SQ4jm0vsvlTq2wYfvrDRGreAqoT7Kxw7P1UtmmtbyZ0PpXBcjH2JhmZbqOpajuSnbJ/EZQJxt4e8+w8p6sB7bYjC/e081x9jkfZ6KIraAmaPt6KBVyMUueHWOG1h5lhQ4WRSo0CcowogwwMSYKRSZTRK238QpIKCOZcqJK0buyKapksrqI8ARgH66LEEsFqp0DYI8qr1EaAn/FIgykKHvv5X5aEAT48NOE9ZIwP0QMTwHpBOzeM55ajwF5z2JCGTnW6UwE2e1qvH3jqhbly32U1rYQViaf44MJkwpQdolinpPtgXZmNOTZKN/jY8Hu08z47uB2Tiviy0Kv4J/cYy074K9sbkiPOUK2vuMzENaB/Y5H9pOqL6moCIeMGBVfvn3C3TjjnAec1wGnecDzhwMaV1YUtQTkEnF/f4L8L15wuowI/+EG46eAT/IO/+cPNwhDxeHNGZfzCH1PKNkLRfO7inpkbBafIuIaUfcFOpKeDRXoWJF/lPsAAwhjQUoFqkyAACDEChGKYYWgeD4ls/IBe4lXQdkrnY4GUEgJQDHtAVQgngLihcJIKoL6sAMCEVgNQJwFy/12TwLOX1t7Y1WM7xlv5oOt8bsVMRWc3+9QPkas9wW304IhVpwBhKDIi7kLRFDsqQC79wwg5zeK5V1l8eVicafpNZY9PYBxifjVb94CQRn/DgV1oXry88Me/0Z/jHm2F0XFOGbsxhUpVuR9QFFBzhE5B8x7Ivv6PmJ4pGaSx6OtDSFpK/JpUtRJEW+twfi71Hqzfb/0olQxFN5BAlkE40cyQJY3wPJWICuaSvXuPd/jUifUUTE+BRZEJqAMSlDk93j8wUmupoRQPfhn4ByWivQ0M2mbzKogjHBD4riSwlwmS3K3lVHbW4eTYvqUsR4G7tXRBAKgcLlutf49ibCDmEFRXQ1F8WpA4KY5oAIrTCCpoyM6Bix39CQdnwopwTedZrPecOci+ripqiiDYXpXrggnE27aCEe5YqXTWf1BMRJhYGZV21BJ1ZLLCh2HRgntFUV7bQai91hmRdz2YGRFvHCM8p7B1/BUkM6FCdTeg0AmImU/oHh/VRBbbNKu0QPUPHWxDa/4a2SFbP/FGXeHC/7Ju9/iJY/4f5/+EWodUQdFviGtlDL/nY7AhMoDcfteFtQ0CvWUkBO9FtPjhcHP3Q51ApOHDarbxqaaL/HzGTKNyBOTK0mmgAsKtBBptMDfE1xPdnOBzstngjxSCmTdKGemYPfIKriFm1EK2hAqvhC9122AVYU3B6JXwQuoou2FH6sEeu9XAKAFQOE9CGIBUAQT3FKb2ix7T8wCIglqDAilQlcmNqSD8b46hcnnp1OpXRBITBBFBIiukp0rwmXFVf9tsJPCRHAczZJGnQ4tqPev3W18WNmFIxqFG3a7v77BDmLKvH0dhdWG0H2tlWhGe5Yq3MOzoRFFKSwULNhbK9WlHUFomzjvXZ0U5ViBoSIdMi9RAF05jsWspcqAVlyQwkQ0WAuDf/+GPi1AlE0CHNCC5XjhGvD2BakKWcp1QrrtRfeE4FUfOVSvl8gG0e5vtAnLUgSWlXtRtHaOaIJhQVAldJsQp7fBiz79UBO14o0xZz24BIQ2Xy1w43xz2lPwc0AFItpE6YazXX4SlBQRQkU4KaTWrkhvgmGS+wHIXvPQWgbYEiMNmfP7pBFAYTDelGpDYNJameTqmUmuz1sdB4o5WTFtm+TqzhRPl0L67dU94H3ofYWgL7oArjjuft+w4d32PPPes8WlDoH7ggjEk13blzwRKoh9PyjV2DgclzwFK+IwMVpvFfntRrK2AjUFFm9WQbr0fcLpZ1fzyAonpKFzb4yXcl0ADj0p1CBNYGq7N1w9gr130OaR3P6YoCAAyHy9X6NUiq75pW72c2dyaSBjaHhYKL43Boj2wnZ1ZCZYohLQFNCXtwzu6hpQxEKpY4bEiponDE+0Cyt7beOkAtSbgrDPyIlRIBX5pXlfBmWCtx4DHLEE2DYVBjUbG0Hr67MvKAUot8B6xwJFP5fQ6fiGqMalXgkrhrUa0urtQxWd4sazTVa2n4i3VKVgRUppissuSqUpIHxB2MdF6oaT2fwI2A5iBWBHuddbL2pRyM/3YFfhhgB52tCOg8WSKRjizrOm7KgQvu3JZJsQWvG57Lifyz5jP2QMsSB9WZBLxIfdEfNuBL6LiL9mIYDv11FpfVbECwu4IaeG1P0utkVNwl5Sgbk0UMQr5Ip8MzQgYT1wr4+LrzFpLU+kfAeEC4UT69sdyhTZzjIv0NsJly8GrFt2w2aNukcrgP8/b3/WLMmSpIlhn6qZuXssZ8nMu9Wt6aru6e5pDAYDkAJAwHf+C/5GPlOEL3ijYACCAxCNIaant9rvmplniwhfzEz5oKrmHufe6mmRahkXScnME3Ei3G1R0+X7PkUczfYOBOnWvcmpYNjP6FPGn9x+wE+GR3xYDng/HfDrco/xWSGsdSeQWJWPC+CT4wn/3btf4G9On+J//fd/ge4R4MLIHweMX2S8+ZMnPIWKiQcNKE1ood5kfP7lAx5PO5SHI3gGpkwN4gsASBX3b18QQ8W0RFQhdDFjSBlVCKUyRAhz1mAxckUMFaeuqlCm+VaUCXUQvXc2f4UBsHJU+TmCZ+3HG0+bdYe1IFcSsBzQ0Hc1AfPPZhzuLjj9+gaHXwdVfX5TwfuMLz95wP1wwV/hMyxlBzroeotcUSojF8HFbUMQFFeFftR1N34qCO8m5HOEPEVdz8mTZlV5tTODXhKkF9D9rM8l5redIl4WS0yYkEDkiiFmxG42Vr3ewJQjvo8V85SQLwPChbDcCOZ3CsGOT7rPlHonLciVrqIfZuX2ygBe9D3lVRK5dBXSS7NNvBC6RwAMnL4UlEMBz6rc3D0ShvfOt1Z75/3JiyNI/5HR6x9eyQ166NBSQckgGQLLMHPj47ikvTcpb4qGdnZRBsiqACBVMBSO2jNpsqz764SxWODlNpl8AdrIXqgZNWECDQxKmt0MTOr0FzWSbhDzjsEW1LkoRMPWW7WriVzZ59YElH2nBm8uoIupKvcdEBnpnFEnvspmXwnlsKwBlsFpW0uXqErFvEiDJm8ryX4pd4VVAMwy61ycaE7Ih7DCZwIh77Xa5zL9DeYj7vwJqqntlp6vRFlqskzoQSB9QYoFRILHecBcI2JXMO8z6CWCJ4OWW+CUzsZdmVcubqtkbTL4W+ioCKzJfG3OmsIeLOB0vpiIbubIkH3fuJ0AGnRPJLaKYVMUiazrZ160vysZt9UVQACIKTW7E6viFpa13lalTfGUQRqQQuXnI6Ep6a5QPFvvYgkD48Jt+YErUccO6w5WESeUqhlur9JqlVwdyKaIWQWlU2eYCiPBEy/W1H4LhbSk0PbethBVEm/1oX2pW3DAUGfH23kAaKJAxQLLrQjcOqwtSPaq1wrB2/QFJlp525t1AnPwysCoBet+NTiPwtGCokh8HFkDHzKYN7WKqDtO7kSh9USsvWUf+wpOBdEgW1IIlQU1hWbPFJ67SWh5xaglVGDBvwU3zdHT9zfO/abqt4X3ke/hshnE9gwbaKdfFbgSmvLPlWptjwTYJnMCayBkkFyY+BHD9kUNYN+XQWFOQmvA2qB1bI5Aq6KtcM4tFElfAxyqKL5MzLY6vG7Zee9m/UwOBB6i3msKDdZOBimuve79sgsoveo35IFWYZHNkKxQTbTPdxVrFWcLkBRBnVZwxSu5vqYb7Lu2gKsla0grq7Sx+ZrkYDj/HzCbB1rVtzu2xK0m5wC0yqMGr1HtzKxVXUlB7Z4rEguaFgVtaDKqs0DNnriOhvewdUinfoCtu6rwQ4fwM4mhh/Q8J4Nju9gWGbeCvYOA23WDKrvmVuMYO8rEK96w4QkRrUdxS8ysZ2QTmWpB8Ka6voHl/9glxnNsYocWMDqqKI6rHfYAxhOVpV8drHKOoJkRn9TGZImoUZAmq9AKmT1Y+Wsys3KvBaidiWtVrQ5WU9lXTQlazwhYoIPVp2ljakHQaoOk+Sv6JvvL/SToXBJvn998pgpNMGOD5vIrEITVr/P9UbsI79uqxQf7JaMdeS9Zv8fpXd/WMlWHNete8a4bnpDaJsTzTj8vjroW5gOvgWe0/RMV3l86uhoPpXrpbeWjjvlyW8C3C7reEpbVqCNcUTMjXFTzIvfU2iIqgsnE0pY1yeQ2JczSgiJdpmJag56QQOP/8yKoQ4DUTU/6itYeyJEN8VzgGjOlU75xvt/rOBk8u/YRdBggTEgvlmS2a9nr2Lr6MC+6t7LpS/BCkLMl6KoiDueg1Kevzrc45w5zDSiVMS3RWr3AEr6Cmhnnc4+vKuN/xB/j4bJDGYDprVbKa6fj8c2HW9RKqG8Llhtu0FxkxsvYY54iYtZAlC4BE/XAxOBRObmXqUMIFfMcUCvjXHtIJYRYsdtPCCTozA8tlbBkbXekAmCAnNTnWd5mxBtVDa5zADIhfIyKyCq6PyQCyxHNNumatMRsJ6iDNH4xSIBTxEvdI44aR3AG4mNEvQT8przF77qCconaxmsK+Oq7O/VTzCWoF4UMA5pMFwamexfJAsq3A5oWmAA0mS8+CMJQGlwcFSiz0kgwFNS+gqJyqQm6HjlU7LoFkSsuS8KUI6YctMq+pXoVXevFuysQEGattEIAMX+rZqUFzlPS9R4V9aa2SX/P6W8AtJAhMFi7dksRBsJb9cdUeEv30/RG9/D4TteRPKx+XHomlOn32/ft9YdXclO0DaJRODtsJwXIQFhuosrAL4J4rlgOjOmeLatuB4iogVBjpAeCNoLW6D2dBGDCcoP2kMKmKOfZeKswLm8sU+ARW7tRNRTKOzAI1szK+Uxshxk1BbXSqyKhEDWemBO/ORMwS6tAFxDm+wTKEcPXZ4SXM2Q/IN/tVBjh48USo+bQA+vBLAIUNLgyAG2FM0SUQSc1PWXwlJGPHYSD8aWsYmeHVt4pJ6fM6mFSEaRzBaog71mzwFkzn8LAfLeBSdfV2XEoKkCYW/uU9fDNO8te3VWUQ0U6LDgOamQ+TnuUyjjsJqRUcLocjCNkmwXaFiWdcgssYJDOJp4DTZDUyM2RLkyoMRkMXtsLlCGiHKxCwQqT0rYjWpFDFxqnGAAqWJUXE7dAg6y/Yk1WcXgBGmdUBFeg/3kCzcsaIAOAaEuaBoUlgINyc6X62ibEi6BmaAC+dexl/dsDJM6a1AEB6FdHtDlb3pYIZryN36yOmVWoHDLK3CBey54aZI1ENNFk3+lVIk86mR0CW1/aFugKEC5FYcpjtr6UsbUVgvMQQ2hOqHBtDqdzcJsSs3Mlk1bhHBbXeLHGZffxalUJXgOlGtTxXt8jze9FBcoQ0FptlaowzX5tlQQA4aI0AW25pWPkKJOyM3GHfUF3mBFjwdAtqiZJ2tdy2UXUk1EDenMWLVhv3GEbP62IWILAJtarpQq5yytSIBAaTNkDfyKsFRYPYrTFkmANHNoVoI5pBbwnMvlcSUYdK+qmfyiYdV5dhM2RAdaOhix56d8T+4AwJ+uRGbS/Ybfyu7cqzFvYfatKku2BvH0NbZ84+kdYHTZvoxVmgJeolBTrZRzGqtWVxFgOUcXUjipeUwZLInmAYFPk6BRvB+dJKrKWRWItq6QmoOx0HR8GC/DrCpcOBBADva67La8cpG3itoknKnkNkIGG7KnBURZ634EEPFXbD1bdYoWtauu+EcKMatBFt4EOgSYTqAGAcuwUtbNJ/Dln0pE5mgQVUKyInR58i8DoM3pugmnlCkYGgrfJMmSByNq/2CCtTrGhWZ9bTD22GuyVLhl8nnSdBw3Y6z5ppXoqis7Zru/wKoj1ntxOQ/kHAlwADcqtQZgFzhvb3L1UDXL2jPmwVhVr0mp3NchdeAoII6F/r78/LWpXw9m45DNAJ7NTO0M0EKNkAoKg7quuG3P6lqMF0XZucdbEMKDrv3RaLAim3ssFDTVUBuf9woJcDaDbftokPjx4077vm8CsVNCYwSKAdG28SMynC+58F4Nepw10WrspBH/PIkjWhqlGpdaMb3R/dC8aKBarjkFUPFQiMN+pz9E9EeJJg4t50Crk/psFYSrI/QBrF9yMRbVWkXlnopi9jgcXDaBFFJ5bbgr6NyO+uH9GFcJSGVV0rwWuwMxIL5qkyAf9O140OE2XijBqsrda5d97/vaPBek5N+QeyBLd5FxCpTOFUffzclAfTM8mTyBDf8+KKd3HGeFlanui7CPGz3vzS3Xt5oMiKGmp6L+/IJSxzZu3u4oXRWGESUxfgiBJfQ1euHFl84EwdxG1EH5X7vBtPKJPGbtOObIujDR/IghDRrlElFPE6anD33xrwqW3BfkWQKygKMAYgF/vILuK2589Ydct+OZXb5E+BNBMOL/0kEvQAGcB0iOjntmSJIS8EKZdpwiJUQPC8KLowHysGL8UdH3GzTBhFxd8uOxxWSIws1b/svJuawLyTwv+5U+/xrenI75/OKI8ddh9zUgnwXyra6Z2otXYJKjHrNVSM+hxyDjsZpxPPeo8gBYgfWTgQQM0YQ1Mh2/1oKnfKOXAqQ18Ckhfaf+0vIOqHttcSTS0mADloLFQ/z1j9w1hOWgrIBe3kwDgk4LbmzMe8gH0rAG7XAIkCoY3I3b9DLJDp4sFR6vc+s9OU4fn04DykpDeRyAA+dMZnKqK0J0Ey0HtlFRdK/EC1GVNjEqE+kD7qFzoTrDc6niHEe2clbgGvarQrzby8O0CIcL0Lioi0ZIxtQfOP6movSB+ekGfCi7hCCAojeCDoEyvs3A/fv3TCE+5w7pVyrWf6+YlUxCtGmhmtesesTsEmMwYASsncOuUtPerN9ccIs/CU13frxVHugoIKqRVFYUYkZRH6X3dHAZTg5fkaa04uGO0uS+2e3JYLwA9fA0K6057y5KKaCWQCOKlDr+a0x9a2yL9OeAKtM5ddin09qx+j9hkezyI2jz/OjHrPz2I2L7m1eIWXDmEkPTAWNslaGYocW0bR7OhdliwJiNew9uECATBVVsCrA6MB7iwzOf1/Vm1La6VnSZI5RnTTWV12xbIC/x68Vplks38Ma8c3dewTp8nrxRsb0u2cv62s7EJvjZCB+3/24+3TL4Hcy0DxoY0Ybz6PjTn39drg5R7YGHj0iqUwaoJ8L2z4YnaPRCt98mW5XfuFhuM07nELXDdjPGWCwpg5T07PLNVbywSfaWC24Z5e18+pyRX4/D6PdufNziqXwwI1mRWE4IgqPJkDE2Ay1Ecta1/AaKKbjDXlvFkFoh4tLSuAxddEl/rnsz6scvGRSw4AOn8tDFx3ht8DKg9D3yeA0OCwwPsPdvvIx87tmSbBTpVEz/0enGJKJ/RoLoAWoWe2NqGBA3MnTcPG2+FMFvCsr6aA+ha4qK2uLW1slzSVtzsitu2Wf9i67oGQTWorScSatK2ZS1Bxj6Om+9f/ZVWQXZ4tavMssHMr7jOxgeFVV0aL82vDQ+8JS4FP5wHbH62RS6wwyGd2rKOSU18tcYcwqp0F6O0NJEg0gHxBIsA1ci0NbJxmnVdekLXkQtakTJbuF2uDIA3PKy67rG2ZAIpn9jHDhVUNaG4nqG03aZmO1absIqjXQ9tQ5mAAAprkmwzrsKsKspWOQdD4dsiKyph+5FFExSqwbCeUVQAhieZ7PGtauGoMadwrJ+1rmGFmV6L/bw+j32fqBChqDPdaZ7HbU6NKxWlteAyQbDWfk4IHDdz0c4w+y6vTmH1k67GFPhBqzJHQrwe/xptTQWCOELAEhcrtNgSMUaZ8DNj3YdamHjtl3i11n0ZHzP3dwBL/hb/2YZOItCqEhvCgdCU8MWC/RoA8oSuoRV06SkqoQ+lBbu5aMK7dmIVeIC269z9orK5f18zhIaSaO/ljU9i+5asqFI7T7rxBom1zqe3wZQUsO28UcP1aqZsSEr3vbduZQAk6fPkgcAHRSflG6VUKYVsXSMAVNEYgKRynUcKFdk6aKiWCDU/sNknEg1sN73KwVaJi9Kq5kgVZWBIWvemtraxQHOo4NnGLL12ZH1MzR8gDdzY/t6lBUSCy9Cr9kiD2AKyML56vsXTaUB5TuALt73q+0wYqL2hUKxlmo9r4YARHerCoLiiMGi7Xje+3XYNu82oDjcOHgHan7qe9WrvVOSSMymitdjbzA4QAyKEkKq2CZLNfRZCrtyg2wCwlIDAFT0rXNp9dlSLySpA54hqehDF4gAVprrWaWm+PBsdqpC7L1fna9svvFlfZpskAON9WPeowFAoqphde7WNzNLWYbPBZV23/7HrDw5yqRQgL8pHJKtomUgJAKSakU5Q/sFpQrjssBx4zSB7VSZohrL/rQ7Mclxfz1Yyj2e6GrSyVwy7Zqm0bO7VqtbE3S/RCixVg76IlrwH57xGzU7Mhr133un2gOIZDdJQk4oH9A/5ij9VUwDdaMafpqKLtTMBkNMEGmdI9B68G2gb9HNlH7AcE8DUAjznv+RDwLLXTRkvuuK04uyZU62Ip/Om0TsZZGjrPPqmIud66NjHixraZc9rKyhC427wAnQPGihdPgOQBH2XcduPqKKbqgiji1k3UF+Q96yL7EUPt9Kro52eq7bwoRXOKp066GVQAaAwFaSHSQ1859DpAAxBM6guhlR1XZAlFhyWzQbnA4A6hFap1mBLgKyVRz7P8D6bMiR17KcJspHiBwegVFAueohzWBMRUOeWpLYDrlBoqpAkngxB4+Omk05IGTSpom0eBFtvzOFb863uhStnqQWyxjeKmsHWrLWsAYbNsxoehbQDaIq2Lv4BWz/OtWyV02qiIedi7ZtMJc8FYwCt4ABWvbUkQS4Ndo8iypcTgbevkS6i7qLtq6xw5wb9tAN+MxbqEDgv3Ku9NvYerPi5ak6FJ8SomgCeqTWvv6dB5HQTtKLQU0NruENUO2g2cZfx9nDGUhmnqWuV3BDWOcdmnhvUPpCqzRalJJBVRxW2I02UChvFYMDm1vYpWZLL+d8eGLX2REVQ3ZS/Slxc5dHM6edTAjiAEgMhgGoEHvxNAlkWYJr0HPOKnCmT63KKkI5QDgmlD5hvAhpcbxJkPxBtnV6t6Vkhh9pnexWXco6NO/XAxnkngC1D5dUbYcL5U10/0SsrSYWUGi2DLHEksgrAMfTUqwDPK3RQAw9RQb6iyUiqVWHhriC562zOCkhyq66QGNRWBDQuaJXMbSKMWQXENl6jEDRZlxh5UMj1clDou4u8CSt/EUCDljp1hIRBReGfnqxkh4F6wq+npgfhZ0VNqwPj517emTBIBLBYmxgPVoK1bIlrgKUKpdLWWk0BSIpsCUvR/bxYQnewFicCYLbEiNkP53oiEOqhb+OrH+oJQ2rUE6UfCMLLrO/zhGhKKDd92wMQAT9fIOMEGqBttDaBcXwcgbRD9qq2JQmCiQnNtwpzp2q8PNHggAoQA0EmdVZrglbBstmTZ9LX3ek3+7t1ZsNIYCIsQXl7tSdcqn3ObBXEvZ4Nan+p2ThAUVHbPq4kelYot1cdxTAT0hO1gMdb+DRlVkvIpOeMMKrCNRk8X7qo8wn/3bVHLQA926cCiCGrloq8i1gOhLwnXN7p7978pqB71H1SQCYgZagrj1kqrKKr55cH42w+1hK0mrv7YJX1Q0CmgPmo36XPrb+/WMV9vtNAyZPJEoHpKKatoAdFyYyXqcO+W/Dl8RG5Mv72wye4jAnUF8yfepWer+YwD4zSqyhqeslgqUjn2qhk8200n0R9wrzjlvD0fZp3a/W9IVlkhTuryKrO+fQuIRgqZatmv00+p6cJ/HRRHRdDdPhVE5DvK+qxAIUwzgTpBIfPTiASnH51i/4j61re+d5Q/4uOM/b9jC4UpFBwf3vGw58JamXQHFDnAE4FPGixo+symAQ3w4TIFd8+HTGeO4Tjgng/QoRwehlwEiDtF9BxViqEkGkl2Jn45YhP7k54Pg+YTp0WU6IlWbsKREEhraTLUNHHCiZp/Xr/+PY9fjI84X/qfo5fPn+h54tVZMOHhJdffYI4A8NFx52LJSfs/JYA4DZDZkb6PrZiw1WhqwfyfdaEyVmr0OhkTWLN+jvLbYV0Ar4wwjOj7AT5S0VOSSYNICetApMAUjVRo5xXwfxZxhwE/BzRfWTUXn9GndIE5xzwyZtnvPvyjPeXPb7+6o22EDp1WC4Jw3HG/fGMOQc8nQeEUPHHbz7iNo3YdXucQo9iAoM8At3HAC6KgJjeanIkPoa1SGNJpNJLEwsGC2jU+6ai/luDO3fKta9JGpeYFhUszHvBd/+tmWxrx5WPAhl0rqirVkggLItW/XlC6xvsiab/2PVPUsm9Eu9xMSBSBxK52oMVYMngOVvfOcCrsR7Mkgl/gMxx3whteJApvBaOtpnSreGEoAWuePXeLccljLgyHM3pb87/5nNtM2yrtg0GWQVV1my7C/EoPHDDuXPlXuF1zLaXV5lan1d9/Trbb4Fqq3rR1eZrgY29dPX8fn+Eq+pJDVZQs+CgGCyuVVU2DiJVoIlpWvYsUkHGeijq7apw0OtxFEarAv7g8iqt8xThz1nhoA7NjHEbK0A260Srqe7or/e5GdcqJpahyQMVJNgOmo/Xq/l5VYXZtr9pFRvZwB1ftwQgVw91yKW+VotocG4CSi573wIEbAJbX7ubf7vxLQxQhCKshZpDvP0dEazOUQt80arpLZnjWT2rTjlE9AdCXy05U9uYtFnd8mZ5HZvGE7PArYkwVWCzhNo9to9zR6Gu39vuHz+8rjKHhDXgdPEp2JiQ2p8yrPC2ho4IMCVBQYgFu7gAOTV/dfuYP7h8zZE+KyptEk1k62FNjbYKoyVOpGiWGIRWvXRkSRt3yxpfp0+pVersEdv8VoeEeyW3cUm3pQoxOyWQUtd7fFXh0WoqrzaJqVWFHI7kBz7MXqm6rwVwtKnqFAELoW7WfpvYTUUToGYJBOt7tVp1zV+8umRdz4Dy9rbZYNcgcC4u57pWcf2PJUOpoCE9iFkr+TZuVNYzULCZE5+X12vcYfw2t033wMyZozG8X23YmCmH6jcBJ1/SYfO1rEFtMRi+o5S8/VtDAgWoSqat9e1S8HkgPyPp+rHaez3h55VuQCu6r/c0sEGBbPYumZaA83bte70aDVtrzv8MgYBi38tWvfdzwezpap/s3N0ujiW3db4WiTRoELH7CQQWAdva4QxUaPuYKvY9LHA+eXOSKxoS5EevasWvqpPMASidBmEQgG1UKhmf1atFLjDL174NVUVUeisbnRBcOaZXSABgrYhYcEuW8EVwEbd1clpCcTNWnixXlfoKDNJsXrU2kKBrf8sTSb5e2jln4yfbs8//3yq5evZIoE3bws2aZDRdAH3dbsDmQsXtRAfK1niuWrPvrNwtgLbMIQCpajJ74zOtiQt7MFsvlEWPuGjrkQS0rM+zRTxUO6+VlmAfZfaIy+a77LmUdysN8r2Op6yIuCJKpQoMsGrDrBMNrZZ2BVJMJ6OvrRBxMvHWFjyLrjMmTeIOUcWdlhLAJDjsZuTKOJceUgOIgZgKQtDPDKyVVIZW4ACAuWLXL8jV2uUURjdk7IcJl6nDdFGelK/pw27G290ZuTCWJVwZHTJyqkRS22v8Ya/EhxqQqOIuXHBIM6RTJEfYGQpr6dA96TN6HNKQM5u1pIm9FcbdEABe+RYgM4BY4fwoYZ1fKjA/FJChas/f2aiSLIjDAiLoWBADs60prBx0nzsaCkKqKFNoyV/qCqKJhdXKSFzx+fCMXBnfxAopAV4ZJhIkrijMyDmsKLRXECu3B2HWsSk9VvpaWZ95ezZrktZ9R2r7dq1M2//JfAc/1GyzSRTUW3OEH1X0C1GArqpKtCU2ajG6zwY90/biP+L6JwlyZegtSBXw8wjEgLrv9FkDAYFQDh3IMrrxVBFGMjiOKpJ6par0eudh3FSkDE7KRQ/o6Y1mo7tHaxs0WHasA8qgGYMmC+5BQfHerIR00oC59ITLO6yTA7QsjAcFVPT/bqA1s6sbRDOIrByxi2VDF+Vywe8bUB6SB0d9t8KyRBCmYo4wQ4wr6O2N9G/ZOK4AVf0+52mtmT3lqQkD0x3bgtVxazL0UbPRnIH+sdrz6AGqgmCeaVzx9h781wDkQQnx7hRhCjhdOnzT37S14Gp3pam5oWXDebExLEA+ROR90B6hF3U4qBYVMTEFUEmM6ZOdBRx26IqO67ZvrxYzVieRLZNahrUK4mMVJlO7HRjLp6rcHSZ1UHe/fQF//wiZlxWuaRdF2yq1miOrjjB5tcL4Slp9qNqm4dnWt1VN9btWBxtQjoPw2ki+HXDOkQ1qdKLRbPz10tnhPSgUyNUDSYBlsXX+rN/X9qn383OHrKhD1viQPlfLCk9m75vo4yAbft2yjs/VFQPE1EZb7z6vrgXWJFBRdUqdG1ZneIMA8Uqm88VbRdqq476egfVQ8PtuLVcIyLuN6A+hiRBpkAarlK0BbtmJQcnU4ZddBSU9pHdxQR8zdnHBJSd8/fEGeUygmeCwfFXUXitcEgi1MrjWNUBl/SMWATSeoQc8RJDe/70+t6t1uziJUxg4q97B1gnNJrjkY9nmrwrSh6h8UwCUrWeJX0sGhQjZDaCU1hYtXj3fdcpTTcESeSbCQmbvaHXYeBGkizk6i6Ea6uqgx1HfX238lgO1Q7XpBHgbAj8bm9DM6vTn3cpT3O4TzTrr3msiFwGtF3v/vPYE9QSKt7AhbyNmegG6oGyMXCV8XsCXChk67fMaADZ4rHQRa1stdYTE+LBX/XVd3MkSAOnFPZl1nxcTkuOs0D4Xr/FKqjsogDtsFtQGTyJTs6FC+vytpYq3grsVbamRdL2TJSkhhLowsHCDvobZzg/rJZmHgHjKCFO5tgnGm6WpaHW3Qu3kBqZdU1qDfA+Ub7sf2vzNEhUR5JsOVFODYCsCpbY1omu1B9/ewNEJW7V8Vcov4KwK2DypUm7dRQhZR4KzcpBLp1XI4aOiGZad8fv2Wj3kxT/Ub1B9l5RhFSq0wOyqcjcSlvc9Vji4oNxVlCAKk8ymUXLmFqyBBeFMSCdqvgoVoHvWM0ThwrxCkzdJCT9XqIpxTAXLXcJym5BOGXzJ2tHgENt79ZyQK9TICuFXPYu6oVfFUXD47fr69MY41xYQO3x5umOU3oScTKzJ92yba7v3mgjzgdfA1+y7j7uBGezzzc+rCvGsnVWRokA6QXc/4bgfUY2HWyrjaRlQhdDHAtnNePmwR3iICBdq507pCRIF/aOgey4q5mZ0jTAbZ75oEOPK3VSA/kEnwtGLzY4l4x4HHYN29ttZEEyXYz5ukrJt8epg5cFs/0sCv8QV1rzx/nkGeCSUFBCeIvoPeg8zeggB6ajq3zwB/YspLu8VJvuTuxf8xf23+H/9+k8w//0N6lBBb2aEULE/arW2WoBZCuP5ZYcqhO+/v4EbJtrAlokEHAUSCr64f8If33zAv/n1HyP93Q7CgrJXiCpb8eR06SFfD3B6gAQBPp8w7GcVQy2MPAdM3+wxAXg57MBJK8h/OfwE37+/wfCVHjbzhZGTIBAwvTF6wM541k+6l+a7irKvuh+nABRCPlSQK3WzoHtgpJOu0fLB+uJ6n+DbjOFe22iWrGd7Cgr5nifWc25X8On9CwDgY9gjLwHLrNopNUHVh0n1DqgSxAQbJVYst6y+no1pngOkML7DEUtlzDmg3y3AbsFxN6GPGf/s5gH/fP89fjPe49/VLyBCmHLEA/Z4ugyYTx2QCWUQ5AG4/LRCgrZCSs9G39rrOZBOYrERIcyE+UZQjnp+0aK2Sjne1Pa1IqXUvzp1BOmBuq+YvS3RpEmleptRWUDniPA+WTcLPTP4OVqvdmB6K8iT2t4y/uOi3H+aIDcpj5TPC3iaNZOws67BVj2p1kMX0P6QeqhzE4MqZsSzOWbpsh7kamTRxGHyTrM7w8eK7rni8i5guSE1Zp1o7yjW4AGVDFcPgBTqK2dd1BKBxWAhDtHUvnLqlFeyrJbD2SzrHyZt/qyfoTDpNBcV44EH5asjQ4sGudIlwJzG5sx7kGRqoGvFz8RPNg56MLgm/LBwg7nJBnqPv2321CuzpTPY8Szon4DWIsYOj+zBsAdQLgzWHEbBcrtmQikT8hzxMvZqmNicDIONOEbfK4sNsltVLKZ0DJxIEwSCdbzswZZuwHLgq0xoq7z4+nbnja29QDA16gydw9jsbRsPzgrbne71gxX+INj9jlCfntd1/WOVXAtiZdNbFwAQeiDGNj9YqvbRYwIkaOsgS5B49dzvR6HmHixQSyq4c8oFmu2j9fckKlROm5wXwJp5e0JHlVe5HZ6wAItnac46VZ8fNKe6iTtlE2XxCu72qub8mxL11fg4XzoETfYsGnzpa9wSNqgVNBtP1HoNt8qBoR6I6bpwLDYuwR3ZzX0LIAYHb4EhEdCrw6O/r8mR3Os9eADkYmpl0MNdkkB2BQgCTgqZGboFQ9QM9TFOeFoG/Dbfq2DGFhVhgdyajdUATh1ZD8p1n7egV+QqiHNumyan1kqpB4ditsoVN9l6z24RBKVXFXvfI3Ans9BGVVptDzYVZckFiEn5pzEovBxmSx3K2K1qxqgaKHrlexuUcIYG3wCEeOV9BrcHhhTwqkUP1HqdnGyttyzTXjpBGVyAg2y+qfHbtjydlgyKuu4VJm0BpajAXpikQQHb3hVZefm5oHGWZbOOAe3NOi9AiopKYEBM9Vq6aEiRahAuFVdTSNdmVVvSzv8dxgIumjyVuBGbEt9jXi1ff29r32pc142rvm6pJwqFWyk5ZWcwzqGChqLrPegmErH9Z8FWsxtFz2eFUxPgSYdp06d2i3SpFVgsKIi82grA+r5yqxY6t3qbqd9CMzXIMtoK0OaOzVYBWKlDXUTYDcA0A+OIJlMN6JovGz7qZVHBwz6CWBAvuqnzIaB01sbuZOr+mZvYnfdH1nkw+ws9U+IkreK+5ZySPRPPhPiiCYlyqJBYEQ4L+n7BMkfkKUIyoRRdm3XQki0tsfWTjhfd+9q1oGI5K4y3LS/C1dy3pPOkN52NmkQViEVQdkFbF2FNkrv4nVMuIFhtma/RFngK0rMeLPNN0G4Vtl69uqOwX1dMlpb43SYJGuoL5ov0r54JaC2QHGpKPp/WbaGwnpMrJU5w3I/4/PiCx2nAy9ijVMYlKwa/i/qBL5kQT9oya4v2ccXw9JItUWPru3G7bX0HPWd4EcSXBSRA6bsW5NJmDLQS5jBtQjE/Kcx63/nIrXeqUz+82l2jPmvtg7UyC4b2WR0m5dwSamakE2H3nY53/6S+yfv/PGD5rCJcGPEE1N5oflHwdjjj57v3+O/Hf4GbXyuE/zJEYJdxHCbcdhOe5h7jnLTP6hRV0fhF+8eX2wzaXxMn3Uf8dPeCP99/i/9B/hi773Qfn623swe5eQ7onrit9ZoI42eEoVtakuIlDwhPpoQ9J0gnOJ8izmmH8DGie/B1z00hOR9U4Kl/e0FeIpaqbW/KbUG6mTV4vKigbu3tPNj4GmHSOYsnS6QYEpWHjC/un1AqYy6qSD3ngCqEOXUqvtRVvBm0H964RIyUsFC/+mDJ9lfrGGKbNwrKrkKiNJmTugRgIUyc8FH2CKG2/rc/vXnEm/6MP91/hz/rv0HPGb/o3mEuAXMNqJm0d+6k/XRr1GLJ7osXDN2Ch/Nb9O9Xu+UFmjBZorgSeKeJBy+UaRxFVsxaq79xVPHOy+eESgL0FRQEMjPoHAAG+Daj6zLGc0Q8MUoR5L4ChdA9qkr2/EZQjsXODDTl7v/Y9YcHucUql4AeYoedOhHWh7UFcdbHUCfOqh47a03jh3TRg6FBJjcBrkKY9f1kVQKFuFgv28NKbkcQhH1uQjEhVExTwswD6kygbMG18SNbed2zlhboyohWdaNqCntusAGrRqlgg7dGABuftdrh3sQARKsikbej1w5kyqrqW3tCJXOGCJqVM2fYnV/15nQM1amTDYyFVr4mocEotOID8LNh3wdC7kOT61dncg00AGuWbpUt+IGxL6BQEfuMGCsOw4z73QVTjngee1Up5G3aXR3k2hHKBq6qjrm2EoLxPJ2nxeMCWgrCVEyWnVaBLAtqs1XkmtEn45mxJSyy/tsDA9+EuSfw0dW97TBMGkjmY4e035mjW6+qB/rGog5uBrZtWYTN0fEWGoaxpKWCiBAByPzDoKXdO7zCbNn8jsHQyryqgasFbBXMpIa69gK6mzHslpY9FKu81EKYl6StMvIGCmWBiDsKLnale06u9sAK35TWc9eVgWFKvVewZIdkQtcLvJrABHBY7QBz2xtkvauJlXPq4+IBR4PreTBr0FZVUKcWVPkctznxlwK1AM3HUOfMsvwOp2erau0r0FX0xwkhVPRJIVjHbq0CeV+5EGpr1+Hfz3YgO5qActXKa/Xgaq04tQpIIFSv4G4Cfa82OxLDhYJoMOfLAkCOpPzMzfPnfqN50CCshtroI5gteLXKo1/EVqW0AJhoUbudoq79qkEbLWpzJBDqYnzJ5EiUAjmvDqKv7zC7CNrWXqFx0cNkFfGoSrE1WYUx2oEWzL73yi+rZ3Wm/HepAGUBXMQNMPvurUhczG5j46kKwqUinqEwZVvLMiQTJtKKbuOXO//WEwOWtORZEQut8ksEzmYHxEQZ3WRkRYLILrVWR2zcbImM7MJCLeFkY+VBrSlbOoQV2IiEwGw/3D9a7UbeGx93UNsurE6cRAHtM1KfEUJFjGs1NueAyzle3cva+s3teLXzzRMiabUNfg76uLpmx1ZoK1rF1BVpLRgrBiNURIkGRNEUO7e0C6qaqJjvoiWaTFH2JYKfCRQDaLcDleuzl6rzUIG600HnKQOLBg41as/l7lmT8rWnBoWORbDs9SY4q1rwliLi55MGO3qfWHxv48puCQtkKOC+YL+fcOhnYA+IEC5zwks/oGZeRXDMVmlCmlrwE2ZLplpA2ZJvm+BxKyKJqhXnQEYlMd+Es/o48aK2vkZtI+gIAlQ0m9ES82JJ7AwEa4MWel//69qtxgvXvrZ67ntP23hWO9C4qn42QdcurMDgMH6HMovtFRYdm+mtYDluCh5JkPYzUiroYsFUIt4MF/zk8ISOC27SiLlG/PXDp5hzALqK+U4Qz2aTfDu24FqACIXIE+D0qLwP8PZPWnAg5KFvz+S+rv7fni1TOzMAaNAEINia2UKyyfwZ5xvHkSCLze+SVfm+Yk2a2djHZ+0kwhOMN63dNWoE5jcVcsgol9SSBd0TocyM/+Prz/Ew7VCfUvMf0/fK1/56fINv+6ICslyxjBH0pFSeOlj2vBDkscOSKp4Wsw1VIf5ziVgk4CdvnvCL/2Knk2gCj8wVS1EodOkFGLQaXztBNywILHh82qF+7FTAyM+4ZHQL1gf3M14rjUCohNoLaiXwhTF92IEyIY0AF0K+BCycgFlbF7Uzqs2DrWGbg3w0KtOZEBbC9NThq/4WROob+CUCpe5FgRTCbx/vEENFYMFhmDEeOhSD4tKsqA22PskVASUTqKuInyivuVZCXkLztTioNk6fMu6GEYkLupCxmJFMVHATRnxxeMI5d5hKxFK0fRUVUuTrMYOC8q3HOeka9W4yk+698R21BJLufd8Ym4SzJaQX0oIaaB2v8tmE491FUUIApjliYoVhpFQQYwHdzphC0nVsAbhTOSQoxSmMhO6BUP+TVXLr2hKjDhHl2Ctc82nULLhzlPqkAkwAHN45c7cqIJtzzQY3843qwZBWcFn5o2UNWoQNgnhvUt/W5Pn2eMGnhxNuuhFvugu+G4/4/8nnyGPCEiLyTEjPWnbfchc9axQWh7JRC4L6xwKeVRVODxdBfJktGFAnpXba37ZVYqtmsN0J0FYp6/A1uNmscGcNAvwUAhyS65yl0rMdVuv4vIZLBatWXPE7ggbp3YuKJIxveHWMbCHWDrpgLfBfbgV4M4ODGh4OFTFWpFDwR/cPeNefEEnV2n53ucXH804NCMmq3CYA2HtnrRnfMBZ17KofCIyyixACuvMCuszgEBCb4JQFu506/stBYetXTrz9obz22nIYfKsA+zjZ+mkHjhCWm4Ruv4P3e71SozRHFbWugQAREFiDWnfqCtShrQBbVY0NMlw7U87ezE3tNKERxgqeir6HtAoeJodkqUfkQlZlEJTbAt5lvHvzgs8OL030K1fGae4wLRFPckDZRRVmOxlc+3WlEcr1a05KdedCGqqBc9W2QZv2N3ARJRsbAFap2hieLQzXKjguIEOzgEpWz6EIECqkD41j2DLzxvGjoJtFOZHSqrfb63VSQjkja8DY+FG2J/KADSxfUHcV8XZGPyz4/PYZfcjYx7lxtrYXkyDEitwVSNAF6BV57UcomySdZfoJJsKlFS8KnVXtWdfB1Vj6vlx7Prowi2zRCba2HcJ71VsZ/vv+WTpGeR+RgvFJS8FVq6zAqp6aTUhJBJQi6tC3ftI0FRULs5Za3GsAXAetaDoao6aA5VZtfjwX7UvuwU1c+aRu61MkkBDmo9qLMgiWNwXoC9JuQdepAEqKBdMS8fy0Q10YmaPxVvUQpgxgWqklrbqtnRtaoOZ8unDJCOdZUQW2TlvQ8zKr2Jz9jJYCfr6osFqKK5z7YsJqrktRKsj2gyozU0v60KLnohw65J1VCUetrCzHaP0wLbmU196bnrhcaRmEAB3TZa/jGkc7t7T0uyZzEmF6oy1Uai+QrgIMhSYb/HBIGTEUJK7Nho854vIwAJWsS4KehS154XZc0Fq/+fkXT0tLBjTxL9v/nnDwSmweGMtuVYcHQekziaxdlM6l9yx1Hp32XBeUHTDfGFrAqqz9h4hIpHOUYquyN9tURBMykVH6DpQr4pP2mqnvDqhR+5KGx4y8T7h8ps5+/1ARpor5Rm05Z0H/WBThdcmgLHj+2YDpnq8pKlZp9sQyecIxqhDPsJvx6fGEN/0ZN2nC23TCw7LHXw2f4TwnPD7uUS8REjSoB+segaE6gvlOTTgwXwc8DRVgiTOerQ+rURGaeNmsibj0OIFyxfTJTgXdFoFMq91x+9K48bOt11EXeugY2jebms1ddnbezdJgjMtB13v/ZKiCOx0fF/MqHSEfLYBeYFxsNM7gNiCWAExfZNx+9tLQZbuksE2G4JvLDcYc8c9v3uO/vvkFmAQdZXyXbzTIXSLSkFFSRQ4d0lNQDQBG0/igpUA4broWaMA93zCWPRBmfZ4aCfOdrdNRmp1W/j1adXbbv7Z0hADnyVJDB/lVem1hRRWQF4WFSiA9U1Js53a7BOgf9HvKzkSAOsFyo0kAup3R9xnzJaA8BoQZGN7r+fqSDvjVzQ7dg6INwgQcfqvPvLzvNAl5V7EcC/gcVBgpCZafZaQhY/lmh+6jtjsrJ219KX2FpIqxREw14r959yv86ze/w7fTDf73b36CZQkILJhKBJGidupQ0b0dMaSCXbdoL+MPHW7+JiDvgemTugobeQwAaEseSyYEoyAWIaBXYTZ6jKu/CyCeCDUrNJYnPWC9HVeNaPoCNem6zfcZICA9JnRPgETGXPeqCHxYQEGFKcn4JJIqsDAevjuC+4IvPn3EMc0YbyLOQVBOCeEhKtXHYMEla4GIPs/4z7/8Go/zgF9+9Q4yhRaAh1hwtxtx7Cb80eEjAgmelgGzBbkDz/gkPuFfHL/FUx7wH54+w7kmhdcXAg4ZX3zxABHCx+c95rFT/2hv8P9R99X4qQb16UlbMzX9hkqtVWg+CEoC5Kj+Tu0EcijgruDnn3/A5/vnJlL7OO/wdbiBCLUK9PD2BfKG8PHxAPr1oCiIwRIXAFDUl91/I6iXVw7g77n+cHVlz3QDVuHRP8Ks/ToXjx6voUoSCDxXbftpMCWqemBtMYorzNTgbSbrDoNzVoNe6YQLuFcS/K5bkEJB5Aqmii5kDMOCiYC5qONRR+2lShZwkGVsKmCY+Gtn8kpEwP37wFBVXWoOaguYXUTDM9q5Go+KflDR9UotgJVz95qLYdzkq7Y7W6fW7nGtjq+/v1VVxD+0NjZZYjcWHAqGQRtIH/tZlfa6Mw5hxi7M6DnjKfdIoWBBQBFSlTjrv6ZKnNAMsMHnGGjO8DbTTICOTZc0ILRDxAW/qnNceXWGXMzhegzW4B6yHlA+h9uDWgI2Aj5r8Orw+jaGrffjq2CuzY1c/dyd0raG/S2wNW48vCuxnfZ5axAOoMFBq7VH4CGjHxa8GS74dFCORxHCWBKAI5gEL31BzYy6XAsEKZfS7qmua0IVotFe56IBLhms9OqZgzXaEFHYJtE6LtVsQfmRhSayrstNv1W9lzUYbD8X3fNt3W7H49Ve1DY2a+Lmah7af9DGwa/SqVKgdBWpy+jTgjf9GUPIJrdfEGwSixAuJSEz6wHm0H3ZJghsPEWfg1gav1jfTNi2WKDXa2fjFDbld1N793ZRW1iBMeUhAAEAAElEQVSwrh+3q5tnF32vZ2RdOKklEgCAGNc9MqTdA20hp8W41Z6sIK2QrdX72vpct3Y6XMFTBcy2X80xtJ/0dp4cmQVPXJkNoiDYDQvudqMGuVxwjh0uY0IhrbCKiRDJesttbNsY2ZixVXZbEN/stiWyYLbTofWGQKKptGQmgiGTHJ3k9l+8rQVd3YNs989mvhyx0ITCPNcR0Hpt+znk6ITttYoRbveLB7jraxoMeAJFQL0GtyEVhCA4DhP2aUFiPTNz5VYJcLGeLeT26kZeVY7amLaEjTm4gTfz66gWulK+FkC9ElqDshpUSVxtv36PnwHCimTIg6nr+joXc/7dNuH63ISdwbWPkKs1uM57s5W5msCk/arZxTBvE5F6LyWZ30NoQpX+up5J6q84/z/vVX21T5rAuUkT3vUn3KcLftI9YBcWfLc7IvKAcU6YCApfXjYJAU/YAs3uUF6rnv5aXdRpd0XibV9onzux5KzSIQIockvekWk0ADoncDE839+2TmvHjUJQEq2CnaBmi5UqIxp0YHPvDUG02vxmW+XVWVk3ZlTQAl/Yr0YTQzqkGYcwg0nw+e4ZWRhfDg94G/XcrMLY84z74YK5BDw871DnoBB9W++eaFGKGptKP7WKcuMvN0qWr6fV36Cipvb1qdjaHW3WZtvzcXPOAVoNTGpP8l7XeNkxZOiMImR9sv39VgCgqsn8fBCtihr0HYWxTCr649VkV6muqVpCRZOOVAFO61r352timf7Hvzsp2qwaH1qCgHYZnCpe5h7/4eUzDCHjECd0nPH57TOmHCEAlsogrqqGnWqrjD6fe9RiPWn9TLTPRgVU4FEHOZyVruU0Pr/YaV2+LzpdM9iurVcXLwAWauNYO+j4uV/m9TtvE/SclO50OyOkqhXseU3g18x4POyw9AHLEjfnt6AEDTC9YOPFliYW5SJPfQFHQd+rVkjHBbuwIKDiCYMGknmH3y5vMbW+Y8BUIi6z/d+Eo6YlolTGckkKI2ZBPnhygDRhsFe4tCrAr0iKK3pRBMpus/66irRbkEx5e8wJcw2YSsSYjboppNVjAMwr7bHsrABmCVn/smJaCPV1fPR7rj+8kjvOICSDsgmCi8wMulhpZKAU1H2HfOza4UhV0H+YQEtB2SXUwaqfc706jMrgja4F3aSNtoW0p+V0r6IOy0F00BPw7s0L7oYRN2nEEHTXnnKPSBX//M0HzDXgq+EW57HDsuzQPQaFhxQ7pAa9weKww8UEUoC1gps1a0kCSMcogRBqXSs2S1Fj405RsQrgkoFSIfsB9dirMbMBqV0AWEUveNKsvnilY1HDxQs3Ls1aIQ0qzGKHQ+lVhMuhkYCJeE2CsODVYWjBNK0tCiQCZa/wEDEBjL7P+Nn9A27TiD8/fotEBcWs3Nt4wtv4gkQFXx3u8DJ3+Pi8R16iNr5+1kx8vOhhX6Ma5Xgp4DErVLMzmLLBOMs+6p/eOD1ZM85ChMunEfOtbvJ4secddCxcMKwmFU9o4yTqtEo1oSY/CK3Jd5hWeAiWbNDE2BxeAMrB7aPyFIGrYGB9kwfIZrBo83MRi8btEM/SnMUGxd7AxT3I1K/RA7X0mjmt+4JP377g7e6M/+rNb/Gnw7foKGOgBe/LEf/z0x/j47THZU44B0GWDmHS01ptnVd81iBAG6+7868/D5eCcJ7hgkhkGHohAC6ssxhhmMi4iZaQmPPKa9wkdTQQMtTDYDBIDyxy1XPGYbzmXAkLKIUG23LIuiMRts4n2Xva72cPuFR5uyWB3BEGkG8qcJMxHGa8OZ7xbnfGf3v/SxzDiHPtsNSIfZiw5xkvZcBvp3s80B67bkHOjJl64+5rpSFYFVeTfUBhRtgEgWIVUed3g01UBdIqXMUSeLmnBjP1ynPtZd3zBaBKKNb+YUU1mM3qgHKsBhFW57js2GyPOyvrGpY5g1IEUlI+rreROY86j/tBg8o+KCw1V/C0wPvKUqBWEeW5oJs1yCi9qrbyYhSWLlxVQhqaJPkfa2cTVGXxT958wH91/xswBIkKvl1u8P+Wn+F57PFSGCUEc3zIi5htH3mySGGSKtJFRTmM3ifVuclN/ZXWPVmHDjxn8MOLrv8Um3igeCDs3GrovDZxwVoV0YSohzITgNh6jarwoDvLa4JGgmpCqG02Z8qFyLA6/G0PmC13JXSFR6I5ggpvVke2BMHuZkSfMt4dzuhDxk/3D7h11S4AD8sev3h5q9WwpM6mcqFoM2/SvnftCS96XtUVxlwOHWofWtJXmBr1qPTcFJ/FEtd5v0lKQO1RWCwwNGhr3qmT5RywvAPme7Wp/jMQAeO0Sb4t7fmEGfmux3ybEKZq3EmB9HoWecsxVGiLOSLEi4qLxZO23ekfAgBtTSSBkCOh3oZmY+JZeeD9Y0FNhJcvAsqgwjf5tkL2BYf7C1IoxvnP+PObb/Gv9r/FF/ERP48f8V3dt/n43XCL09Lj25sjnm52qC8Ju99EDcCmtfKpnFugf7J1Pkmr1qqQoZ6na0JE7awKoSmkXCJhftMpOuBSkB6XNqeSAvKtwlvzoPs3TErdkkiY9jpOs9GC+kdB/1JMWIyvAtXSUWO1eHImzFiT36QBezzre2ok9VoFjfsXZl3v8x1U2bkC46VDf3PBu90Z+zjjPp1xjBP+1e43+Cw8Y88TDpRxkogP5YhEBf+Xt3+P72+O+H+e/yXk+6QJwU7HtnuQxnsuQ0TpGXlvSRuzFXEyipHA1oTaVhL1TdJFsMCKMm0d6rqt0ebP4KBNR8KKE7qHVUyz7ooWI+4ESyG8fB3Rf3+riKvzjFBWak0e1ORIJsz3gvzTCRwUoi5V4cR0Ud5jPAP5AJx+WiF9Be0yQhTkriLfaFUedt4Eq9xJL6C+QKrtSUv6SiXQIWPpVSmXYkVKBZ/fPyOFgl99+xa//cUn6N6M+ONPPuDT3Qv+bz/9n5Ao4//+zX+DX3x8gxAEeKPQASLBsgTUXx6QnvQ8nN4K8k4gRxUeCR81WI9nay2VtYJeE2H+VMWm4oUask4TacD0rmjwNnEbf/Hev7ZWu0f9zLzX+So7AaVNMFbNt6pAPDP6j/r/8V9mHPYTLtMe3YfQKJI1AefpBicL4skq0HWv4/6f/exrHNOE//lvfw7+ukcphLkazNiC9Ps3J3x2fEEXCjrOuEkT3thG+Wq8wzl3+NuXT/DVeIddWPBp94wqjA+nPV5eBp3/nQpjPT7tURdG/KZDmIHp84zu8xHTqUP5qFzn7rMzUip4wRESAmoS039BC8TzXUH3ZkReAuoUEHcZP//sA/qQ8TDu8Dz1OE8dxjHp2RIqaiUsDzvQotBpdBWcCrqfnLC9kiUCHw97vMQecv49GYlX1x8c5IoHcX6g/762AQ2i6ac0FLY1LeCwVut4o8YKoDmLDZq3qTaBaIXnmZrvPi0twPUKDENQoTDauQakqNXehX/kPoG1qrup+jX0LRFYVudIs5j+fOboWCWLXvMW/d/+fJvqr7dIaBVgWjMVBLSfX2UIaXXa2TKlrs6qCNrVS2j3/wrOCNiBImuWtYZNqxdRGfKOM3ZhwV24oOelOf/JgquBF/QhY+KovIFs0MECbKtb2udydcyE1qqo92AV4k2G3xw7AQgu5AFcIUhZjZI7JRItCABallvY/u+Zx6AZTapArfoFyq2tLRi9XhQeSW3m7Op1cQjA1fp9Pc5NnVJEg0ZBy6RvOZlXH90cXwvMg6ALBUPI2POMA0848IQbVkGDQ5hxiUn5R7Egs1w7jViTIlvUQYMpe/xuWX4NCF89twfzBW0ty4888w/G4jWH11tw2NChig61OTLqRK+//4Oq7OYgAlPbk14B++Ek6PvbR1qyg6NyERNXDGHBMYw42Gm4UMEN6/+rkDZY54LAKkoF2iQH6vYGt3O4HXxqatLtclqDv5fWqpRzKt3R0eBFVJyC9HedJ+zV0bZm0kaIT7Ri2FRsf+xyVIr1M27rvdpCKXXt6WuCNevciIp/kfF8bb0LEagL67o3e9oEmLaVyNe3RgoN38cZb+IJAYJEGYsE7NOCpQScYoUwr9SMTSDYKuqyrmflHMoPoX0AGry2IY7CmkXeVnH5lY3YVuHDuh/ox/aEzz+w2jVfC7KxlXZmNgSDPZ8/k4+P20dgPRfW83azFsjexrCWH9oWS4OAC+6C2o8KwmSlifpjBmn7PcArDqAlOzZida1tl8DUp/3sWjmKjXayWe9t7jaVEtc0aGgj6O+WTv9oRLGe3VJr8xW2AmueuFPY7jp+sHXUnmVzduvedmE0hfSGqWKlFGHVtoAnya/V6duzRgEb/DKGgiFm9CHjLl7wNrzgns+44YpJJryNJ1QhPKUeVRh9ymCW1mJoe76+/qNOtSHIAmnw0drBbWyVnQViiQpU9clqJOBs/oztXbHn+PF1QQ0O3fQOgJV6gs1Yb8bEEztt3tqa3fzOdh3beeZtn9j7KXtwYlekgkgVkSt6yvgsPOOP4pPOD6D9e80IMAQB6nRvHfc2l9nsZ7eqSfv6A7AmpgmrT7NdQhufslVn2dE5ev9NjdimgRfzacwn8/OfooC7on1mU9LqsiUar2warai2GgGOtQ2PAKCFVM/A+sNWgxR7G5c2PwwIBIjmKy5Bg2fjV/o4OKqomt+IUMFRW/B1nXYmSKHYZ6gqs/rmFe/iCxJl9dcr/8BVaGOclaubd6JBtldxbb17wnltD2fPlgQyUkPYifmBXoF2H1EAtc++zur6vQCaYreec6sNa4lVsfcSUJeAOQeQ99Iuq+8aRu28UAEIl9XvYsEnwwvu0wUcpe1lb3nlFeRdt+C+v6xrFKsfwKQ+IgDMNYCpYqoRi6hgl+8nn2PJ3BT0HcGQUsESa/OvdR4EiFXRYISmE9DiCtZxIfs3h4pDnDHEBQ/jDrkwsqELEQUx6VqAoOnoSCYgAbt+AZHoc8tKgwyhIu8Etf6Yg/fD65+Ak2u7uNRW+kYR8Dhi6+DyeUaaM8QgQn4pxMLaiWycIm+nQ1U5HpIYebA2LaJY8e5RxQGme82O5Z6QQsExTdiFBT1n/LR/wF8MX+Gh7PGXp3+GD8sBuTDmOYInao2F48UO541j5OIk3i4onpWPuHWi22FBG1htNd6iQaWkSzp5e63e1s5UHEsFX7I6hw7lvoIib517PVRJBCUx6i40ddWSACmuNKqVZyFzBFwFkQyu0geFFJiyrCroAi4GRrwGEl79HMeE3zzf4zT0eNudcAwTBl6QOONce/x6SXguA45pUm5oYYj19WoHgMFGloPeT5gieLZWEab2Sg4Jo/Wgcg6iVzvjKJAnYDkS5jfGUTXVvOnTDEQBzQwe7UB3A+1iHGZs8gDIvkJCBT7JqAJM/77HMUatur+cQZuWE6gVMs/WcgXr2u6S/p21eo8YLNFDgAlp6QAQeMxaFWBuLYd41tdqUl5mmy8Gcm/Km4PdLwM8EUpkXJaIU+rwu+kOAPB5esTQLWCq+LR7RuSCX/BbVFd7NSOkHLYVsulrOMyCdMo/cPzLLilk2ZNPYoeCwfi2/URpXnS9D0lbzIwZfB4hIqC8qXzZeLK1G2k/yzr/FFZM11XgT+oshSzIYJAJlPhrytGi9cAxZ9oPNR9Xb7/kThgtjHqOyH1uommPeY8lBAQIgt2Mw4W0bYKNq1CD1m35zBIIFdw4uToHDIQf+niAHcYMFaDyezOBIYnKJy3DRiwoKE9Z4YoEZoOYTwap6qUJT+l4CCiZo8tWfRJRTm5ZFTApJWDo1WZtnfxunTc6T6AQGh/VBYeu5teE+MTbyJSqULJGbanWPouawi479DKb4EsUhL5g2CnU8KUMuAsX3IQRi0T87PAR7+MBz+cB42SQWLM3YVoTokJaZXGuYTxlYBOEgdUm8wyg5qtzi7YwZNvrYn0RaSl67gXG2jqE7bk1OJYaQN1GnMrGayvY09Z4FXSPebXxSZFDZccb558a/HkL42wCVJ1yuMuWf2nV8dIr5AyxNnXSSFoFGHjBTRjBVJGo4DHvcF4STlOHeomgCyOMZO30pKnFOyLB9QZoqeC56Lg7eqOqcB1PGTwu4M7QWZUA0vuoRzT+oiNtXNStdopmUDEkYOtQ1gjAdApqX42HV4FCqhJcBVIzsGSIbMTjjjvwVDB8sL3pPdSr3nt6mlvSrBx7SGSEiyExmFCHpKJUj9nQSbr+ItzR188Ni/sLJjA0A+mFAARkAOMx4sAVn++f8bY7418MX+FP03sswvhl3mOUhM/TI3pe8B9ePsM35yO++3AD+qZHmn6YZNJ/6JlxHlR1dnjQSquvizgJuke1pTzpuVX72FoxUa4G9RaEKmCDwNYuoB7UgMWzruX0omtSWxd5cK+BZwdLSOdVLXwLMxei1o+zdoT5Vl8rO123ikBbA15VpDY/4kYhnd2DVsy9QqZq34LdbkYXM+YasceCt/GEN/GET8MJb5lRIKgAngvwdb7DV8sb/D9+96/w/dMB88cBCQprjS8G2QRMSEr9vHip6J4KJBCme0WlOJ2uiQWy+pXC2qZuekNXbeokWvxifnMZdP3Swq19UellTZ5EXePUVYRYcXO86PmTB3Tfvignfp+unP94BvJPBPmgTh39bmjUJ1Rg+F4ruNMb4PJTFfSLDwGEgBpVyK07aXU0HwXzTxZQKCgsKNVU1x+T8pBnRcvkMWgLyZlBC6HeZLy5OyFwxdOsQkOfvn2CvCF8cXjGn998CybB//DyZ7iUhA+johem5x7xfcJyLNj/9AnHYcLznxfMS0DXFRxixmXqMD72QGY9J9sZSaBFxblqhNprgdkHa5lz0DMzPSqyqvYavLoYn7f2QiXMi/pr01tB/XwCBKhjBDIhXrTaXwagDtoeZ7kjoBDS1wnl153uhQhIL00/I54I9EyY3gE1VdA5oH8fsBwD/u7TT/DJ7oQys1I6x4Cvnm7RxYI/+vIDUih405/RccZYEsaScM4dvhlvMIQF//r2d/g8PWIRFfj6ar7DXz58ialEHAfVX3h8GbCcN7ACFix3ajuRCS/fHsCXgPhMAAUs5wPmAFCn+iXhhdE9MWovuPzRoqir54j64QjpBNhVlL5gH2cc4oxDmlFEey6XHJC6jLfHM4oQ3ldCnqKbL6Q+45OjVnIfLjvMOeDp6xukh6D0skPRZMw/4vrDg1ypa4bbLqpVHV4RbajNrOpvs4qYeLZU+WpQB3nTX4/gzh6v1aRoTt9GLTeOAowq5ODclEAViWoLcn+SPuJfd1/j67LH30+f4invUKpmEoJXGk0V0LkjLUsuaP0eyQQVeC4o/Sou1QJjwILUTW/FDXxVogc2VqVMbCJw9r4qLXsEzzRtMoIrFExAgZsj3FpswAoO4sZejaiRQOGw2Ka46jQAe8am1vkj66bkgNPYqZHKAwBokEsFU00Yy4CpRuzCgnPoIN62Sfym0CCDfsiVjprYjraMMWetVEtkeHCIBmnUDJkgTnpo5L2smf8o4BsV7zg/7iCLWRLQWmEFtaw3GQ+Duoq727NmjHaDOqw5Q6YZUlf4nuJx8nVFLtgaCOq8C5MqLweBIKxJH7+y7YuoBpPAcFECOP/YM7x2EBUTZnHHj4ryIXIJWErA8zLgPWfsw4QCFa3QICCASFolRswJ90ziNsB1iCPPxuepq+MnUQWKyBy8Bs2E7dttpcPHgDrUFLQ3pnMinffYxtMSY0wr17lWiIt4/Z7LxYKct064DmC33BvnmHlAAMFVxcjbAlBBa9XBtpkniQi1ouelBbm1TY4HunT1XS3gsMyxLvh1jFq1zj/GbU2Fwql979l+FQsSfY/rWjeVxlax1USgbOBtXKDCNLQZRwIoVniF2B5ihZT7FVih+ikqEsU5jc5LHWcTqzK7FQNqSq0KvT6X3ZNrD1QBbRAlKvxUGjeTUUE1rOPooiyhYEgawY014RhGJMrY84S3nR6CMRZ1RmiTVC1r32kALUnJiwZbCie0e3OIJtXr6h2gQb1/iFMVtuO3cSiJTHeCGd46D1aRRFX6CgDAzgH9DPs8C6jCmPUs3Hd6X3UTFHgCDKTVX1sqDUEAnXdXJW5oHwv+xcRZnCPu2fFACgFPlJtdT1SwlICcA7CQcvY21ZGtrSIBEAilY8TGud6sd7s/WipoVNE1XiqEtF82mY137jjIkrTmnNag6yZMBNlWXbHZz45uiIK4zzrkabD1WCDzfBXkSseNa1uT9jAWkFYbi+gaKQIZIsoQASJNUjhKijUI5KWAehXXgRDY0EaN513Q5s+T5rwQ4kgokyaEqxDu0gWfds/4LDzjLRd8Vwnv8xEAGkJnrlGTDqeIwVqrNKrGK5NZTaGcChAmXdulX3ttx8StgglAA9Be6QTB+eJWuW52Kuh7qAjSS2lnBQmQjwmLi7Bl2LlmSPGqAUON3tZqXdNOHWnaAQbJ1faP3HQ3xOy0+zi10yA3nv1esQrwuSq+VYEAoOcFB56wp4I991ikYDGDe649vl+O+ObDLcqHXqk9pHtTOddmz1iVoEtPNofFFJZXyhhgNtsoj+6LzbcKdS29BVGbRI0XVWoUoK+6B0Y9dTQ5bRQrW98ctDJ67HU9nypAz2fgZo9606OWFUoZFmBOQL3N4KeI9MQtgaSBlrafGj8F4rsRyzkhfuxACyBJK+PpidA9C0YQFjb6AgGoBJwiwoVXew31UWQh0EzgiVEOhF1SqsDLpEHVFzfP+GR4wef9M/54+B6PeY///flLvOS+cTUxMboHTQjFUHHoZrzdnRVJRaod8Ovne3z9fmcqywJJ6tQKQxs6WJWxufSGolBBpAxZGOFDBC/AHAXSq53EoDBeCsqnrX1AWYByKDjejJimiOUSwRM32whZ5ygMGWUOSF/36B8E8x1hOYr1Ia7ghdA9atJwudU2pDwT0jMAEJ5H1bhBcf+fME4JgSt+dvMRhzgh14AK9UPmErDUgNPcYZcWfPLuGf+n4Vc4SYdT7XGuHR5GDRbvdiO6bsJp7LAFmYCg7SiFVNl4ZIRJ1YwBrTwLA9O7CvQFVAPSCViYkO4mdF3B9P0t+veE+RZYkp5fkQt61gJCIEHkihBVQPLYTRAhnHYd5lCRc4AUQkqqel6FcY4JuTDCc8DuK8L0ljDdZiD9JwpyKSWtZgWtWpE7QP56LgAKZNejHvqmLkoVgPXTbI6zOT7Ke2KUxAhLtXYVyoeoQphuQlPf87YnYSLUM+O3j3c4Lx2+ODzhTXfGv8M/w/f5Ft8vR/x/PvwMH8cdnr45Ij5GxLOR1935le0hbgbGneqlWtVBm8cH66tXhtiqy01oymEeKWzGYRWdqkMEOm4wPRKBy9BrlU9/ztk8c1jAweZEkR4kQVQtuTkTdhh41dOd5OWwVlCdy9VU4zpqUF/ZONNCAC0aaVUGcgqYlojHRcl/b+IZAy1YNuJMU4l6qLgjW9XIhwnoTpbZnjWz7X87f1IzsaRBDlYnweGo2do1lM5gzJ4MYKDcFCCqJHvOARSVtwrPNGaD5Ni8NqgbmYBDZc0eeVUyRtCAxosBAMQO1HW6zkUgOWtw5uI7XtlkFa9RrqX9bt0kM7xCNGk0wjmsDjGtQY2LfUA0oy209pIWZlyM0zBEPTyYBANlPJcBf33+DB+nPT4+71HOUbNxZ804hhmtSXcTczMYjffY836ITTmyqGOnyQJqz9uCAd5UiwGt0s7mJFqSS1JY30ekiTBDP7gN8JZjHFkr7LD5sCQRmUBPTWycVV3DWxEtV6m8EigBmiOhPB2sSR5oxl4WRp4jHi47LCVgCAt29idA4W4BFU95h99dbvG8DPj4eEA+JaRx5bS35IFDv/15IVfBrd6wByDWfsecY4dAORqjWAsFz/QjCRBroyPIrA+sPRMFUrQK2p7fY41KkHKt7q7B1WadA62vtycuri5HrcSglU3AKprANtEJERCbgrNV09tLpPZMufia/Vfos3LaFGGiyZ3xkvAcBA+HHR7SHpeS8O18i5fS4+9ePsHL3OP80gOXgHAhbfthCsPb80F7n/vaIGxF+QDbnwwN5q+qvLwidHKxJICddVl1FoRkrej6M3qS1vQYWjDrVVvScWOnvBi6SYiAZIqk3doyT9e4BbIboZsKh3/T+vuwoKfoGYGT7pXaa+ak1oRzYSy7iPf9AWNJiFTxfTy2xM1vzvc4jR3mKYHN2Wk2YwHSWfnL2nNXs6xxLIpa2EI1SdeYRELdm5hg5IawaONve3crHlStZzVP6jDXoNXINbo3x9p6opdJIZs5Rptz+/AQQEOvY+QKxJcFtOtatbn1zDVEWdnba3ZGN66LwOC/tc1xg2OT2WyDn3ugmYdVT0Bb5+hHxQthfOmxzBH/G3+JX/Zv8SaeMNDf4n094EM5YqwJ3+cbPOYdvn65wfk0qIDNK9uWnpX/u/oAQJlh81K1omzq/JxNBXqp4FGRA/PbAfNtQBwJ9IJmLwVqf+umvZAQMN8n+17lJ/NUkETPr7wLrxIzYpoPFSCGkPWmbv6Gn//rvyUAcVxtddPNcZs9owW4850+13JrqK7CeD4PKMOEwBUvS4/fTm9wLj3uwwnf1Wd8V+7xXb7FQ9njt9MbfDXeoWSGw14dmeNtk9yux0lakjh7N4hThVjlFTCk0CbZJmSIwbjxPWzehKE92VNF6CpiylimiOKCnRVAVd0QXAhlRyipgiiosCpVPEdqrczCVFC3yJyiQSpJUvs4uhnR+8sHDbJQBfKrPboZGmgJkP0c9RzfBeh/0Ssi5L4opNnGq3ZWBWRoAMSahKsEYGb8+rfv9EO82FEZU4n4MB3w68sbvRdLSExLxDTqhOedJnQfn3c4T0npQQCWRauBtZD6XAyk57C2oSMLcJ36YM+QD1YtrwQ6RYAFl58tAAnooroOyAycrZDUaZIzvhDSCZhHRq2EWgLCSYVVVedF9394VkRHuQQg6/m+HMynK5oEw1n9zbwXYKfrhl4i6iB4/hcKeRy/P+DpwwE8FODnC2gOmD8OmF86/C9L1HZBuxGHNDc6D5Pg090LOs54zHv8b9MfIaAiUMVzGZptd9jvPEetvA4V6U6DzTxGLdTMa3CrrZKAfKdISUwMOkXwZPZ3AsaPA5ZUwYNg/ATItwXhbkaMBX/57ZcgEoxzQimM/TDjs7sXpFDApOJzBDjDplHCPh1eUIXxvPQYl6gtrE6qNp0fI7CsYlr/0PWHV3K7qM5OinrQ52tOLZasmdTjHsttjzBmxG/PCn+53WtWmwAJrHDAUgzGElA6k+DPGjyGS4FQQN4pyT2d9bQj0YMwMuHl/R6XS9cm85vLLf5t/iM8Tz2+e3+DeokYfpfQPaKplnrFUWzDtmAoaGUszBagRoKAkF4m8OMJ9XaP5WiOnrD2YwwVKnGv4iyoon1frbcolQqEHXJIrfqyvcRba3gAsoFCS6SmashZgAzEi2ZTa9rAgQIa56kGzSDWHtorzEj3241PcZNZ9YOHNcilhVCioPQa5D5MO1Qh/Hz4gIEXjJIQSJMPcw2rIifWAz1cBOm5NBinV8+2wjPEApmuRcf05gz+421QjLezhZ+EW91MtWhmnGMFjpqBk8yQmSFPUb8zqfNU0/o91Yxr6y0dGEjDlfNPXVQYZ4qgJWuVK0YN4oi0Qpv19CNgDX71C9QpikF/7tBeAGR8Qjb4ogQCTLkxzPKqyu48NsF87nASwoeonIZsXIuHZYd//+FznKcO0+MAOgdEgxvFs6IfVnVZdcrYxMxqZCBAqQNMGly2AJysWkZrYgYWwFmFqznYRUDFAiUPcvvUHF4Axic13pc5+GGZNMm1sKl6ih6+gRG4WAstXeOtug2YgJYZXPEgYLOEzGFTB50QIar6Ge3MzRp/lzHg+dxjygHAW/RBOUSRC3INyMK45ISHiyqdlo894okVdmRB7fUfGAIDEFiiQAC26p8kQjWRl+qiY/YcwJqQKTtdrzJUzRL3pbX0CqFiGjvUudO6zGCV3as9ZAHeFmEBmwsXINheS27Qc70Rgfh6HXq19VHtGxVZ2+ds1zyggMBXwaSY+JIkbomrlhQrMMib2o0aATpHTAR8vNnhNu0x14CxJJyWDt+/HDDPEfU5Ib4EpBMhvSj03lvAhbGCc9Vx9oCFSbmHfpngDqB2m3hN4DiaQWGs9jOrxPJlaYmAlmj0xKaLTDVlWcDVxD1hyUsFn8bW+sOTmDVoq7hsLXUaakHWMWznFpmDuh1m8nUGwJBINWhCkyqhzIJ6ISxHxuNhwFxU7TJxaaqX56nDeOlQx4A0qtCMq8uGRZBeFLFUA0GGAJ4K+GJw7ECtwkeiqKwaGdITakgGrzbYuieoigYuWrFSR7UOFegrqgRNgAZ1DBW2ugZGrl4ceuu24Pss27xyBGK8tufnCRj2WlE3mhQvRdcyE8q7PZbboBD32VEsmuygcwFPGXWXUHvvAGBvmfWzyqAJnLxjjO90z6UXWVWPqwnLPUXkFPD1dI/vuor/7/4J9+Hcqi+PeY//8PIZnmZNqpXnhGA9PGmzb/qniv7jomdq1ORI3unzpnO181aFYsIiCCftRU+LC8MZXDgwwljh+ggE2zMe5M4VZQgY7/X5FIYO8FzAl4w6RAtyV/8j2HxTBnhSpJYLj9VIYKvUe3BLxSDBZzSYdROLNDPJMxDtP9O9JgGXW1EnvBCmk/qAXSxg6vHVeIenqJX9u3jGX52/wC9O78AQMFU8LwNkYe3H7KgYS7ysQa4gTKsQad5bVftJ26PVaAmxasrroqgaYf09MKlwWqhm5wkgQbqdcNxPqgYdCp7GHs9TgGQGX9hoKFpJowosfUAJgsQKBa0JkN780GkBb4Pcqi2EumdqNoSKUpYkAM//HFjuC/pvIm7/bj2zlCZFkG4d9/Qi2H0nyAPh8S8C8r2uJwhQB8Hw6QUhVEUnVILWSAT8EtH9zpJ4UauZT3RA2fBu+5Tx5e0TAGBeogZbUAHRGoHy3GGhriUgwov6NRiA+nYBmJCeCOkFmgjo/fyUK19AjgXDzYTxYUD3dUQ+Aj//42/xbjjh3/7tz0Ffq/BSGM3eHPT5umd9/vET49EujHRW3ZnlKKhdRbyQQp8tianPq4kE36dUvO0TsNxU1CgIo977/JOMf/3nv8F35wPe/y+f6fP9n5/w3/2zX+J//M3PUX7TQyhgfIy4JMH58zPujxfc9SOOw4SbNOKPho9IVPD9csTX8y1u44i38YRT7ltSnEk0uBwj+kfGHATHg/bgfZwPivCZtS1Q3okmBvYFP//Z99inGf/H3/wU6YP6lJw1GdV/F1C6gHxfIPcF+5sRn92+4MNpj4ff3oIWbtoghy8n/MX9t5hqwMO8R6nc2n05nyuGii/7R1QQvrrc4hQ68EzonqutTUaeNxP7D1z/JJxcymWFI7rz4DAu61Gn6rdlbXrf1CnNOSx5rRQBWj1lsWzX5nAqgnhBExxokNsMyEygs/IBvu8OWCpjWiIuU6dqX+cIWrhl0Dzbvbb2QIP+UgHSohlQf21Vh2RI361ctI3Y0yqog3bQ+yUhtIq3qoxWUCmrE2TQw+Cwtg2nrN2EjblXJlRtkFuVqMH9qhkzokaC38KRt3+virr6vjCSkvn963oVklrmiA+XPcac8NfxM7xfDngpPU65x8vS45vz0eBUSbNcEzUHpOy4ib40p9b+2ZRuIwHg1pYAtGaOHXpYD3rg1bDOfc2MSoLUZYRgfLOqogaFgOKQFdYDR+y7UQlYGKNlDQ9+Ntj6FPzIJnIxMeDawXVIZ11fazB+2QrLbMsX61ohV9oVApMaf8nKGwozwWHnZbDezueApQLPcUCphNPS4WkeMOaE5/OAZY6gyXl05qBuMtJNIGkzFz8QTdoU8YQ16HSeeBPeqVj3+kZAa7NaDY6uldvt+LT3+c+Y18x+qxITHJbr8+0OUZjN6dns38rrutDv1vXFHhDAPqPqAc20Og+103YKtRKeuKKLEXMN6K2x+lICLkvCy3lAngNovqY7UNUkjBZt10BpK8IDS+i1/7rQVhtXo2TYQakCGQZPThUcKzho25cQKgJXLKGgdBZMO7xpOwFZjZ2QBrneBkTfw7hqIfRjF5HypG3eUAowLwYdlKs1/Vp8TG3b5vtSQG3zjmvYnifd3BFbCOHEKBLx/aNWGUtl1VTIEZdTh7oEhJNWcZuAkCcKvCpToWIYgsaBJWzEd9gEPZiBUFU8q2rysMGtt7bdnlud/7DZx4Srdkou5uNQbq/m+tUqu57s42ZLmtAJrWPUGBzVKoZtg20CHlvXtBl2t68aZKB9kFwYTy87nGOHp2RZddNUWJaAeomtbUYbx+15yet+lsgrK8QoHOJz6qiKKq3vtY6HtOTqtm1UGRROSLuC2GcsFcgmBuRihjyhUWBa32i7PxR/xqtUz/XVJX2epaznt88ntFobLtT6hAtTM4cSVupRDV7p99eo7WGt3khTBgbM7yhqH7QfJ0OqoLKgAPj7p3fo+E8RSMUeP8x7/P3DO5ynhHxKoIlX0UWf0wLrox0MKusQYAtA0gqjBnSP1j6CmMBeccyiHNhZ2hyuVe7S1i+xIpbiyM2nUDVmXcsqymTzLgL2Njxx0z6KTKE7qC0KM21e28yR72NZg1undzQRoORnlwUPGSg2B3kJOE8dSmUkPuAl9Og5Y5KIU+5bm6yXudMWJgs3u+Fr3JNJLqh0JUZq96GK7paw3YhlEnQMqG72IxnfkwCJBRQFw7Cgiwq/TaGgjwXnXUGZRWG/1b4j6RhRIcjM+PbliBiq3kPa2KEtrSYRaFs9tvmXW1+LgvCs+inLYU0cXe3HDsCRrHpNJrxkidp2xhDGl07Xx7Y9XqqoXVUUiY2nRCsG+f2I9k19Mb5uXgJQFG3TzveZbczqmixeSIsVlpSovTFpjG8MQ4V4sAvWzxlfOtBkiMFM+O75iNPcKSLK7ayvs0k/Ow+wxHpFXQJk5qbv0sRVTfDKqUbqnwPehql2qiXkiJWy06S1LEFRJpUw5YhcQjv/p0vC3z+9wzQmBNsf1ZLdOQc8nQelX4LwkvsmtPth1oRwHgISFVxKQqk6zpclYWFN5hbT95gNIs5dQSUBODaEnw4u4fEy4LwkhTGPusCXw7pOAIBmgkjAGDs8Jq0eh/tZ9XFsWdztRnzaPeO7+QZP04Axx9ZKjLhqS7jC+OvTZ6hCeH/Za1zRCca31m0i4jpR/Q9cf3iQmwskX4BSQNFaTwDNwa/3N5BdAi0F6YNZe3MMJGrGi8dJM6shQHYdwEC4ZIMeaAXTzysugv23C4QJ813AfNDNF09epVSo1/x0xDfDAXxhlRQn0f51UANVerQ+d80hgnIgKQLDx4L+/aw8lMQAE8JF+VLSB+T9sQktAOvhRoXBEloA1HqGiqAeusbl1Uxq1cwxANROq3cuTuT8Lh8nIk2JehuM0wIlwvfKk6nSghfPuNdIkGLJgE1bG6p6mEHQgj8f30COvV8DQxBj7iKWKeC7MYJY8Lv3dwixomTjFS0MOkfQTNh9YIRR5yRe1KBf3mrPsuGhgCdzLqu0qmUloPQBlKS1qWjtPqrCxWsgTLcdlqNm6rwvqpwj8kD44u0Tvjg84WXpcV46jDni+dJjpoTaRdTFAgg3knZQ15lVcGE0h9crrvxqe2Sr5ljbF4gA86LBm8E3acla0c3FEG5rQkcXWL1yiiWQlRGNB8YMyRXeU5IKI15UKGe+i6iBrR2QrvPpFDHujXtmgTstCtPunrSpeRyBeNZssnLC3MG3A4QJME5uq2BZUN6Un/ugRqVVvFZhOO3NJ6DLAqrVhHX4KgByzr3vBXGqQl1fq10Aho0onY8Ru+O23lOsemA4z7saD8pFHRqXawtLLuv5T1WhcGprdJ44B0zUYUmChzGBYsWwm9FF5ycy5jGBPnSmSqlOdxwVRqOCT7pvwmRq8SY8tVbEgbrTuY3G8QeFJhJXBnsWayfTOIedYDgqYoFJlN/CghgKBEDeR8jCkGyVCFr3Ol88QNX7DVOBlKqBa2fcW7+2QaoHbu7823qXZQFOZzRo/2Gv8GVrHdSCmCKgaSPe5uudFBbIS12dcqcukNswQhTB8K1Co+fnA74d9tfPNRNCAfoPVvVZZE3yGcWEjXOs0P81YQkm0KjVrLrvlIdMBEZU7rwhkHRB2R71Z7QKlz5rWvdwNYG2RVqFTLqo9BRgTfBgDUoRWANCE6NSyoBCodNJrCLHKw2F1HbHUWzNU0vaQAC2RKmPgzCQjd6hNoCM/0ioJ0Kedii8iQtJzPklJDsXefFAyJEgvo+oJXDKECAcwHNFGMsa8Hjw2dR7N84tA67g66iqvBfkdwt4KPjs7TPu+hHfnQ54OQ0omZHPmrxLTwHxsoryaVVRk7OyGRMiWgXW6qr7ke8GdAvAZ6UdoQ/mQCq8Iz6NiI92HgSz4YektqgP2jowMWpvFTtLxpYdN9G4GpQTOfwmoybC+ZOA0us5E6z9Re2092+WAFkYv/y7z/DL8CnSzYTP7l/wcN5h/NtbhBHoRSfJAz8uOqecgeXAyP7drkRN5nwLg6M0SkBNhPk+gUpCmBRhFcaK/XdZecpmr/JAK+LAaGSoQMxF59hshHSMZR+xHK+TZVzQkkF5b4isZPvczpGwCOJYkXvCcnTkkN+7ojKUq2sJpKo+IFnbvzIoOCUUmONNGAmoeyAj4jkzTkHwdBoQY8Xz0uOuu2g7lhrw/rTHx29uQTMjnrg59lT1PvOeWms4FsGyVxutth2WQBZwXM+oYvZs7QpigW61YGAoSLsFf/TJA/qQr2Ck7JxFrrjMCU/lgIpg0FldMzwSZI54mO6BCry9qDiarsOKrfL7fAR4vzlHgqAMAnw5ggDEv9rj8BvB9AY4/7SCFlJhNFGocE3AfF8bl1U6zzJvJppURCm877X6eawaVN4v2N9MGFPFzCZwZFDmNGTlbYOUMpYDvns+oFZGvkSF5FtSUFtIKRJneVfBQwYeokLZmZAX7bk+vamYb9GQa5UF+ai9fj25GJ8C4jk2SHOYgemvbzERENj0LiwxwwWITzp2559U1Jui9/TYIZxYi21Vxa2KoKHllH/uCQIdw/LFjDfvnnG69Jg+DgAD3e2EGAsu8xE4E5AJ350OuExdm2/6esCvPnxhKERBHQT9JxfEWHF62OHy0OHSDfgwHBBiwW/2dyASTEtCrYT3d89YbgO+m46Yc0QpjIeqWjCcKvInC8DA+aUHB8HhMIJJ8Px9Z2eFHrg0Mx6+ugUA7L4J6D8qguLyZW1nA6pWsnkhLC8BH88R/f2I/+uf/RWOYcLfn97heRnwX97/Fv/14Rf4N/Kn+N2H2yZCFYK2mUIquEwJ/+bv/0Qln6agiYz7gocb0kR9BurlP1WQaw4ySoVQBbnYTq1atfTLgwNgbcHQuC6witimwlE8zc9rRckWfZirOdihVWNdPjvMekADQM2KKw+m4inWYLlx5wzKxcbrcb4q4K8b7K9XeJu3hGgcOl4dbxhEy2E6mpnxbNca1Pj7vKrQ+I2boEKzy7wGuZtx+sFlGR/nvvi9AxoEVFgVKytkDXbQtQAH7ddglKOWrXeuMpuIAJggWY3/srC2YCq66CgTwpmthzCagi97Zs0zZK/Xjv+cnUtBDcZE5giTBQq+Olqist23Gt4UCoawYC4Rkx0U2PyOqxg6VKhVksSf+dWmuRKgkR/+7PX/X1dp/Z91A5nxn3vw0PhrojD3WkFGgCUJpkysCpfODxJW40yVEDqgWHPYtYJvYzfpfmBrZM95M2YeDJiw2w9g4tvL16CvdVtvbe23LJz9294rHnRvKt/tj1UFAOhzEylSxQLnbUudH73csWR7bnJ1W6gjpEt8rRS+Wn+tcu3FdudNTQQpZLL+jIlFkzgGhZcxaHU8277wLG5BQ11sv0fF9aQFrOC1hY+w2RPajKsHtj+yX5irOkGhILBcCTlwEJSyrm+4H1Lp2h/ZwGdF5PealVVM8FXQC2BV1C8AhzanyifeJDbk1Z7xFhf2s7bfnMLggYn1c4UoD6xGIHq1bBvkWlUvjhp8eSsRFwBr4092Dz+2xNvYqyFwQTiFcq8ImQbZZG6VP9ViMBvtv4fyg6/Ywvtff7fwj7QjAhpskHitAjnyRYP4dsv2JfZ7/l7b20LU/s8Zlv1ex1sutmdoTW6tnQPUxqwIEN9Uss5De8aNTTB0iustcFlb2LxecI27GfR3wAAlFSYZotIFdt2CaYkQSVq0aV+KterWPpea0jT9cCrW7w18NVXNvhkkGZeifOsUAQpqm2jdt4KN/YONDa9raa26e4Ll+rxt/sesg1cTtAOAfcdCHR66HS7nTtf3ZfuZWCvzC1pl1wMZ13Tw9zk3dosIqFGruzVQ00ZwP2QVvFsDTp/jpj/hFXynXHgSz575ChlEqw9Ut2vA12q5HhtHbb0WwWzVXkMWkAWP29/zZIckgkARUcXybiULToMGW0sJWCrjMnWgUcWDfLy40CpEKqstAez7/Zwrso4V0BSVV5V3aud+s+vm9oYguEkT9nHGWCLyptQaqFoSs6IhISyx0dZbATBpMpvbutHA7ep2/fcI6l8ZLziF2sTBvNhRdhUcGHUym9N8ls3f1gcXlkxVpMoaxF+9t5IiQrKjYQShUySSJ2trW1KkokOGrqPZq+bqB9Rg92PCWzVKS/qhQP1tFqUF+ZJgrAGuHc6NFhFJBabqSuErHWmVWTZ+gz2LRAF1BTIGFZvKm72fNbnYaI/bP17BTdqybQw2p8aLJZ8XUr/tPHYoOaiqNnRMw8UKTiY6GaNW/NvCzIw6AjUwXoTss9UnmkvAx3mH09LpXFi3DTJ4sPSAFIYsjGo0J6LVXvkfgUKzNekJ0wuith6kUEtatEsAZsEX/RPuwgUPyx5VGJErRkm4lE5bRWVG5oBaCSHofdXCKKMFt45Oi6KKyjNDKl/B0P+h6w/vk3vYgy4FkvPquDPBeyzyyxl4gVbHrPeiQyuqVXIlBHudVwhjqRq8jrk5XF4pyEfNnoepohMLOi1zwtbvSx6pbWBAM77LrS7e4QykJ0GcpHEUvT1A2ZnYRxWUXbTNqh9S9hFlM2QqLGGLxiFdxqtqfRhFWnWKRMAXHacaGRQIZAdldUGppYCez5Bdj/J2v/aj2lw1Epbbbj1Y3Eh12rIkTJaNr7qh3EHJA2M+oGWaAHUQeVHeSx5o3aRuXKGVruHbsD4n0JQvxUj/vKiwkao5wiop6lDHxaos5pyp0VA4WzUlUIhmtQFg2TFKpxlv2gQ76jBpgOfVmNoJ+jcjdv2CKoTvx2Or4p6mDuenAcgM6gSZYeI0dHUv+YCWOQaRVnHGGVS9azgguWhPBGsRAjLFMuegz4tOk4tReUUYAM1atZfeRNqwOkz6H0ts5GLK2QFIATRENVYWjPEirZKiWWGFIte0qtJunYZ40TkIsxgPbHU8wlibgAovxifqFGPjLW+uLj840qbNkSdfmNXx2HdrMmD7Hv8IEfDLrJxm2Lh5QETK14MFuOo0ikJbWZ8dWVB6bsiOlpgg9UNrUihVE6Byp47t74DV2RQgOpS+AxBUqZMKm1NmmePbiKX3AIoQZyA9r7AuqlYhm9cxc4EeEoc4rTDC7bWYQE6jBcQ1weNtNQBTlY3KBeJYcNNr3zkRQoUqK3pCgWcVWdMq8/q8Qiu0L4wVMHstpUC2rbJSBKai1dpaQU3OfjOPgXUdb0XXFm3T4ntAglU+d52+Pi6t0slsnzfq39wHIBDyENTejcoJE1pbjixn5Q3qovLn0jXdP2k1iFxoyvaUBEIx2xHmqkiFKq11Vd13VwlESYwSFJYfSM8gCRbUdgRhayFk1VYXQ9OkpQAbmF5b94EU6SBoSc/mNBNBTLnXeaFkDquQ/q5kdX60fU69Wi/tHxZM6veuY9PahHnyJazroDr32RQza0dXwdH6IIp4aHZd7P74OnDnImsuYxfWRO5iqu1LQe2jclVFGl8294TlQK2tlzBArFQlIuVLJla13GWOoIsmmcjOvHjWOXeRJwka5ABQDQ9HLAyD6ma0GwbKLoGGZJx442wbEmH4OoNOC2RIKMeuqQ9vz2LOgnAqaEnmqpBfNkRGSS4cpEGAnmc6piVphXD4Xtd692iIpk7npT51mL9PiAWG3PGz2u252sTupTYEyYpm0epid9L1UnreBMDG2Tf0lHuKy4GRB1b01LgqCQNoyfayj1iOwShjmrjI1sqQqqB78WjblmXVfajrWUC9oeKgldFtJ4vGf50F6YOOU+59/6+R23LURZ5OKjBXzbaRrPZueE+QB9Nu2SscU/qAHATflRt8iBXLOYEuSjlJJw3YxPZvega6J9nYeGlFEE9ohlkUpQZgPviZoXvRUQlu/4WsG4S1RtKAgnDbXXCMM56WAXOtyJWRJWDMCR+eDw22CwDxRZFZpQeWG4FYyzi/Fz4vgIn5yUYM9PYXBfOXgvmWgIGQe0Nz/OKg93wQLH8mKMeCcLOgjAFlTs0GcAHiI2urqADU5HB+HevxU8HypqCQYHkLIAq644zEgul3B4S/6dXes7V8enfG7X5EsIkvRkFZcsBp6ZHngO59QPdAmN4Jlk8y0FUMN2OrdAPA0yeES9eBJq0e6livJrH2q48LAWhmtaOeANskLzxREiYAVjyQoAHqcmswfyHgJSE9M9Kj2sx80M/ungCegPkeOH8h7TslCsrbjDBkSCV8+/0t6jkiPmhrpikzplRBRW0Xj4z8yyPqruL480cMKeO7394jfohNDZqiJt0B4P7tCcwVHz8cwd/2BpnuUBPQ/fkTfnr3iA+XPf7d1z/BPEbIQ6fj83ZCPyzoB3WAzqce9KEHCHjOByAIugut62vS4Fb9IxODI91v4YVbQhMsmD8tKqI2FOyHGV/cPeMn6cG6IdxhEcZfP3+Kf/tBdZL8km8GyEwY73Qd1oWhVTSowFmoiH1GSgWXlx44dz9Igv2+6w8PcvsITJsspl+enZ4XVaIdenXeATSBHaaWvYVXdgE0NVoANOemaunKtkpOQGuy7plnb9uh/5cW/LUG7Ra48QKkizr+8aIVsvhiQiuUgB5wLkvjGLE5TB40Wi85CStvgERU7S2S8l3KVYoZZD3pBKwtY0BXzpA+e4VMMzB0TWGzQV7sXjzL6g48iaAym2ElUK1X2VGH7gFrn1xEdcSoCsJiBsKz7xtfQAhN3MOzx8DqkEh0xUZ1OBqcyLNAYs7AaI6g2wCi5sj693iFy4OVmtFgyz7OVxkmu5ddv+BmUHW4S06YijbgXpYATAqJFRYgAXABFXPaxARZ9NBYHWTkjG3/0LUXjcNOzTF15dSc1aHqu9XJ3/IYcwb6hMbdfn0VU2qVYIGC7wFqn9Gy/5CmIghRCLYjD7bj4/DksOhab+tQrDK8lFXRGBG5dy7IhkvuyQ5zvt0ZbJUyq2hou6J1ra7ZY3fEFTbIgYBZDHq2KaU4V2/LY2/8flxlnbfP4cEuv0pht+DXM/2+V3xfCBo31TPw3jPbv9PtSTGlbYXIosGU2BI3YbkODLZ8SNg69+C1vQ40degWiHqVwAMSWydkgU4T6QgZ+zgjS8BcQjv421gsdp8j2n4UVj63cpmqrmdX6JH15rWqWAxWzy0wu7o28PwW4FbR95ogG1Veq51Qe9jsepGr/RSgST4OrPtQoGuEqAkOgRhbTvl2ntNJA1heZIVAW8/pVr3a8uRaD19LmJgz7j179ZkCqK4bVQK3hKMHlBVrizvkCm0XxG2M3Plu9tsr6A4fcFuyceJ1z+t5I0DrhaziihrQOO9xax9+gJKxtQBRBIyQTbNXlYVAvK6NDAKiVa/K6rBDTCipbPZGG3zovRfbt1jtODGB5oqVzlBtfembhKRVer2NzI+hFwAgcEU0Dl9DpNj3cxaks1iQTMqntj0efJ3DEo+bapkQWdsgwJWQFYqs1TGF5uo86XgTrpWWAczVWiEBSJbUzzqetSjtaa20e0srP791rHky2OSkY5N3VtWd1uqtLykPcONFEx5hEcST29CgSVhbd2EWRAs6Vcl4RYQ1OwNqQ1J6Qt5rgsCTIlddGuz/ebDq4SJK5eo1eRdN0Vy/0Hy3dtYrIkHyysvTXrpydUY4EiO9qE9W3wQVP7LzxhM0ztH9ATKj2phaANZsaiQFnwRCpYiatJ9nfCat2lqy01vm8LzST3iT8BXyc0D3Q1jUt8zD1dJq36nbTJ+xdFrRk6Bnnwi01SXPuHDSlnRWDczVOPGmHwPovMQX/fdytOVvlVQqUBodA0JhPXMB9A8Z5S3Ae7SEABcgPel7Lp9XyDGD+4LUZT0WUlSUkp2TYdKgXwgNCu9aK9MbAKmCYkUwBMb98QIiwffjEbvvvC+tnnddLLjtptb6plTGQtpzV4QglRDOhPQsmG8BioJuWPDTu0cV5TIOZ79bMFadz/Axrtzt4Ge6rH6WQJWqy7r+fuwiqwg3AGlUaLdXqmGKw/GsQfR00LOKZ0I6CeZ7Qjna4VQAiYK0n9H3GeeXHtU49b7Xa8dNCFKi+nTxhbAI49PjCZ/vnvH9+xuAIhAE1Cliq1ZFXxz2M277EQ+PB/X1Zru3Tv2ld8MJ350OGJ97YFI4vgTY7ysCLMWCy7lviUHthqFFK6dEuP8Rxo39tZjHi4qwoivtMvr9gi5l7LoFd90FAy8YWFu69lzw62mPbx5v9D7MUMQzIZ7U1tad2YpifnmoWgnviqJ6RhUgkx87LH7k+oODXH46AZJAXQepFXK5gFKCHPcAM4gIlGKr1DZ4biU7+HhtxVBZA0MmeFsRYQZ5BcSN/azOeTDDXTu2bKUgWruVPJBlGJWvQSLYfa1GvntUp38rgtRUFqu0huN+eUZSOhVYUGPOBiXQaqlLiJcdI++1osoTr0acAJ6DZdcFZEFni+vN4SrHHvGzt5DIiKcFYeTmsClst17xhB3CLSTN8Q6jHrxlUC4HIqGEgGp8XhI93ByWIOYsxPPGuQE2Y6MHnIt9AWsFVizYbJVsWLAa1DnyCpcqhVIb8waD8AQE1u+t5uCXjrDsuR02wt5rTg+WsheUQ8XNMOHYTXiZeywlQITQxYKTENihSHaP8aRZ4OYEepAhpBUuQJMpA6/QSkBPiFJUiGUT5DYIfoyN84150YqsRyUhADutejXVWj+INlBF5wJ7ux2aK2KWFjTyooIfwjq2IEKe12CpOdXNyVNHQtsErRAyKhpoNPi9qUK2y0RjauA10WOcNXeixBxThw23iYMFj42PpHvPv1+6uC56h7k6zNaD2bbvVIRNCKh9hETSilzZOPYOR4VYpYRa5t0/QzZ70F/bQvdWGLd7FGhru3siyMvqHDrFwRMODfJd18/TgFLhP235JMKy06DIxV20dY6PkR18G2RDE7MxXnEtjKUEFcOSgKdpwPPU4TJ1qHMAZtUfSCdLShm8PVihNp7tUJ4ykDq0QHOrOjvNAIIma2JsrSlWPitdzZ8ibuxzHMXgry0Z/Dyu79/2Q3b1eUB5gHM21WG0dapQW4WPh6hjXN0WVW3n4VSGBrkXr8DUFSYs9h2m6FsHRei0iqzbsqjq3VQJReIVosFf98AMpA4YFTFudW7PqPuDbb8XTdTC9w410SJavNcoNRHDFggH7d1KVdA9L1rV7nU/+t4Tpqa87H+ve2ddQx5MVFMtZg8A2s907bfzwZFwti63auwesPscKO1gsx9tDQPKE4cony7MVVsi2Wu1Dy3JGkeY8rPeb8mMElTkLfKAp3HA87lHnqIms6rpPZzXfc5Z1U+BjQ1cKqjv1abGANkq/y8VYV5AVdS2HKLayrPOqRBBBq00hEvWsU58vaZEWsXdW4Ct8He0hFWjDxlsWQO1NViibSBbNMGBDEU6sJ53HmBko3OEmZBZexO3NepnwEYMDLL6OqVjDbYCYbwj+z6d19qhVftLpza+WEeD6S4od9iCZYa28YCs9+2JAiqCYONXdjrfPAnCpC3Yuuf1d/z3vCiRLra2El0FU4FWqLtPoVfurhKucc3b6Z7XCrl50qgRGD8F6r6iFUAgCHaeULYgJwLzja/H1dkH1rO2dsBkRZrSO7R2cz/V72tNipCJp6ES8hzxd8/vcEg3uE0j+pAxV01aCoCUChYhiLVG42zrpiqSCFj7VoelQnaKbmwwcbteftph/oSw3IjOcRAgr6i7vCdkiZBLwBi1LRR1ghJFfacCzLeCvFd0UPeotkD501rFTKfOKswV805wShqMeHeNvAfGd4KyrziPHX5XbzHPUVsALQyZGIiC4XZCTAXjFxH5YH7Otx2m24DHmwGJK77+eIM8pnXS+4rxiwIUtTOU131XrWetI5w4m+94qBYQqnDV9EnRgPRBFZu1j661o3o7g1hQn7WV2nJTsRw92QGgKDd1uVGVZVRo27PbBRDC8nFAtnO5u+hnl073NWcozNeny13JM+EXf/kl/j4KaLH9kQnynFBYUJLGRl9dEr7mO9QxYLmtJsSl67eee/z795/h4cMR4WNs612CoI4BZ+mReuWDcyhY3mRQZoRnNiqW+THW3YEWX3fA5TMgHwwhkSxRFexwKIzp1KlAKld8e77Bf//xP0OiisdlwFgSLkuCCCHGitvDiPPUYZFelcvPhCUmEK+fKdZL/DwHnKnXivqZQBf8o64/vJL7fAJ2N0DfAZcRchnV4Yk3enBb8Ngy19sKWGHAlShLAbmKHzOw67XiyYBs1T/FBHpasAzUnfcCWh3u+mnSpt3ZIZuWnRMgTHXlybRAzrNiAt7yaww66YqJxQ5phjpXcVJnSlhhOw6x4SyIUdaMKAGcuUF9UtVAww9FsUpPPmovQVoqwpPBZW/79jOei7W0MGfL281INfiqCn94VUJcEMEO0rAAtYomDlq1EKYStwkwbCxI9NDL/fpzsaBCAvQw3q4HolXsRzQgqImQDdYdR61GsAtibQ8uDzwMVoVOsIT1sPFMd+k1wM0HgewzbvsR+zjjaRowLbFJ8YsoPDmMloXKCr2Oo1wF82G0ANjENCQwkKJypNqDVYiLSf3YZRVcLBkyTqDAdraSVrxiUDjnktfv8LXuQS8Hdf4twfPaceZcNRBvjhMQhhXiWpI6YA5n9oSKV7i0ElnWaivcYV8hyADav92hrrxWIX1/5Z06TFrh2QRA8CBQmoPNRRDsuWsXgLSpgFU7KWBOYwGu+2ZnDcSTJi/YqkMrL15ArBXkOFZVoiZfo9AsvajBXIWydO5LR3bYrMGxOm66xghqM7hoy6HaYXWgZBNImEMj0HsXwPp5UkM1lE7hao1DVcRgbZsVRasTRQJTq3Y+kqgoR9ZAN1fG89Th6Xmv/R1nBs8qhhFPa1ASFjTYf7CgkKcM6hJQjGayXeaXUe15DMpHtGrtmswxiHIumrCpVVEKANAlSAzaGz0XoGTQOOn6PexaAExFIAkou9gSGVQ0ccmBWrWXSKMmYa1e1ax2RGHX6jgr73+F4nsFH4tWFtn6k3tCRVJAdcSCXQoptyy3iRYBDEqbwJHQ0CduTzlb5W7SfqNCBNmxJWnV9tJiAbCt4UbTSYxQKmgskBBAUdrZqGI9mpQMU0V8niCRkXc7lIFXZ9orTWJJL0f7YA0eHLoMqxJJ1O0mlo2vjddOkCDtvPTgtq2LTVLIocJwW78Jrv2MlKBnoa/pOHKz68JrcK2IE2mVIxIAmVGC4DInBK7ar/fcQcYA5wmnk6B7rq0KrL1fDVlhbXx4LkDfNeh8UwkGbF4sqXO3B3bBEkAqxIRAqPte19lZRR7FWlY4DUlSUCqC8+ztzNPxR6uAkiWSwlxXZAnQ1izIBbyM409rcqoamkRbQMGelZSTGEyAEYra8PO7QcoDzMGvm3XBKEl7y7ZzpCVD1E6Wzhzcfl1DpV8TBBV+1qAhJBqvWqBJJxZMQ0TeEfpSwWdt6cemp+IBsPOFqeh+BsEErxheqQcMtUQGlvCKdFzvD8CKfrH/e7sfh/SWpAJYixU/WoAeAFdspqrrdQ1ybS/MslaGiZRrucOVzXbKHHlisa7nkA2cIdAIMgZ8/XCLoVswvF1wk0ZUGTCViCqElLLadWsvQ1WDXKoKp+YChIui8MJUUQa1pU738ev0BaG+s4ok2eKYCPGk+zzvzd7Z2V0764dKgCyaYMx3FbKrCA9RK8AkWA56P/uvBfvvKuYjY/yEMd8A07uILmbVaZl1j+Z3GYgVyxixXBJwiuCRECet4C03gvj2jEM/4+FzYLmPoG977L5mTDng5fMeKRQsHwfEp4B8U0CHjDAU9PcX7Zv71R6xEBoiMQqQKrBo4BZGUlGsuwXykPRZEhDfjeiHBafpFuGsyZAyCOqu4PbughgKPlzu9By/KUh3E/KYEL7uQADme1m5v5WAWHB/f8KcI+Zf36H/oLpAYRJMbwjLT1XIK4wEdn/az3zRBN7xl4oyeP4ZYXqrgmBsisaOKKKssHI6VMiNrpdqdAA5RXycbhA+RnQPrC22rN8tTZpcmIXArBzf8HbEPEbEb3dIL1iD4gSUfdWCnR2a06cZ+89POuaLFTaCPkg5RWAJyCSYOxXs/F/Hn4KgbaJcUE0E6GLGl8cnfIh7fCO3ul9PBCFG7QXlRu0BilV2Jy1Y8aQJijL9Xm/86vrDhadCVLGcUQMy2u9BXUIT0zDH3jm5xBoQAlAVywqDuZkjUopV0jpbNACJBpJwUQv/I9cQWBI0WG6T9vaD0+GeajM1w7isRmHt+2kBr/NFzJDrogICPDgjIAKZNSBxTpMrRYJI4z8LcoVUvU1FgdQhZRbwadHAmwnU8ZqFE2giQMSg0St0BQ4Bq1odlaJOWrUx8BY8wp5UQIPNCavzGJY1EPXDmes6Tu0id6Y2PyJ3cnAVLK4tYewjLStck3Ku9NIqdy16sNekkKf2OaQHjKpfq3FolTJ7PhUPsD6nY8BXzzcYUsbz2CPnAGbByBXLJWG4qPhSvNj8GaSKy+ogtoClyBp8Lq/gyhyU2xXUWdqqhJI5/b6byPnnPh5Z30/eR9oFh7YQ/1LXzxI2yXVbk7Vqpxdz6N3RBDRoQlgd3uac2tpd75+uvVHSSRcQqG0gtIy8QinNiQloa9p5LtWg5rVbuVtsHFkhDeTIwQYEsPV+Jh9zF1h7Lciz2fPXC05WnrtDkRsiRB1FhqwQ4NcQ0Or2Ai1I1uDHF+8KsRdek0+tWgO/r41juLlFT9RsgwEhhcnBEkU1qgjVsrNqYe9VyVd7DpbkYZ9jdYzKFFAL4WPY4TR1OF067Sc4s7bsmqlBrj1p5ev8B+2h/Po9gkjueItxzr2vs9TYaCMSFKnTFPVbFYvW5KYFFpTL1dcTEXhUtXKH/HOu2NJeBEazMGiXsCUPLx4cuJPtUFn73qucKOvrBoV3u7giODwwsOqdzZ8iV9Zgsf292bJu33gJTUFZDF1EVQDj8Xl/XD+vGo/XhLiotTVbR8idfu2vrSKEXASY6wqZ9QDW/65riy8bwLVKYGtfxPjkUtfzAYZusLXqfMLX7aD0xvR9yuvECjWt6+86PLZV2iprVYXWwKLdop9BHmhlgGYVDLqkDrkwpkvSANfXtyETtJINeC9i7xjASzX0iiEM5Nrxb1dkCDqgCOI523OYzY2s9nwpSjMSWvnZNhA/0CbwoKwancTOTqcchbEquruLtm7EdAFE9VvMrhdHhVnrl5aws6qrJi3RhB19/D3AD1Nt9knMKXbNDu8h7siTVnEkaKU4bYIEs2nV+rnq+bmexyQAi9liFzgCmqOt/F6dG+fVkhUmnHaz7fks0ceSrp4JIq0nrifY/ftLD+SFrteW3QcvG1SejUc86zx6+xddR6/WpMfz5j8K0PQA2NZatUTo6vusa9jhya8vXgCZgcCMUglTn1Ay4+v+FmNJ+Dju8HQZUAprpXMK6Lw3tYlHbulgXoXXllpZfcKlQMqqsZBvLNk3k821VoCnN5vAeeMr8AR03ynSpSa0Sp1zg2uvZ1E6rWM3vmEsB8J8o8Hh8tTj45iQguDyiSbD+SVAEgM3CyhW1L6gBNaEH2sgVYq2/KyFFbo8COZ7QdkJxkuHicS4tUC4MKoklFjhALx6KJh3hPCsyuu1I8Qho3aMfFSanhCUwgatRpbe/HJSzutsEAIhAJVwOve6tRdWfzuzBuljQBx1TS/HChkK+BIQz4TMAZepU8HKpJVsYLXF3n6HLJnodvIqoRqBEuy1TuDBhMOjCWjoxDKoXyFWgVK6D0OygPK6QHmGVZIFCAI5R1xOEYiCsM+omVF6MbqG2w4BX1RoqwwrumNZgopGiQtOAUSCdKNrL8Tafi7msIooJH3JAfOo1dzvu4O2TToKxqyIy/SsPZZrpxMr5wBaGNEKVjUK5jeCOv6YQ/PD6w8OcmnogPOCcj6Db2+BN7eaxfZA8fmEejqDhgF02K0CVCzgadHD1/5GzpBx1NcPO3W0igmapIiaNPD1ljo8Vg2UTdiDqoDHxaqlqTnk7piGSQet9C4uVa3xuRpeWDZSDLbFk1ZNvRVCmCtgymw1EUrkJozimf4yqOOjSVU7BO0+isFLNIiIiOeK9N1ZhYmmpNUqqzSQiMJeq4CGDhRWXhNVAc12urky3BBBXbDDke2+jWu4aDXPq9HOffGAXnka0io+DtNzES5V9V1hn+70VUCx+A16C7RMrhnQ6VYh3n5IlAG64bJuJm9nIQGtgff8pqIcK+JDQP+RGszHYUDOiVRuUMAHuVdYivf2FWjm/FGlzsMkWpHLHnSrM9A/lk3gYv2JveI6zqAyruu869SZDwzvE+qXMCmnNrO+ZzesG0QEuIxArasNYwZ6S1D4oW5BsBjscwtecL43AIRIq/NpzrhXBtmgdCsszhMdGoTxxtFzLqAGnR7UWkW4ia+hOa7ZK0htveh95b0emBAgnfQAVH6WVjFV/VNf5yIIJava6py1fZbzOxt/E6Cq6A5PbHlLlVXkBya6pMGSt8ypidd93GB0tjSX6yCvtTQxZ84DqAYXtXVe+m0VG9dJBB9Ld/bNifNKsMLuud2P2iNqQme1g/HZNzzxUT/DXxM2Z2Yi4ElbH1weEy7meLAJQ6QnamiVOJrewFhbAOHrpWXtG09CrgNdYiCoaJramUXbxL28QEoFH/ZASk1ETQCgtyDXYMteOaNc9OZr1T1VSvs+mpcVuu+JpTlroBvV+WFL8IEIyz5CgorNDB8W1MRYjkHFkrIeotoz3JMT/jjS5htFIOnanssrbIavwWJogjz4XFKrpMRR0DjbBIACeB7grc4cxk3WtqhamybKFVJN6E1gZ5dy6a77awPhomeipIByUC5/mIqKo5jjrwZhw7WkFcoMrxICV2vaodxhMk0JDg32LKQJK09arQHyJlDwczY7pNWr2rq/FVFiCQDjU+Y9WqTmScp4eQ2L1vMgTIT6rFXwPA9YooAmRpzUSeue137INQLpbCJIuSoHt1gyrFh7PkPfeOun7VWHCGFCOM1IXz0opPkwQFJAPiTUjpEeJvB0Udh+r22mpA+46uVt5yhEkTLackcQJrWj+RDAs2D39Rk0Z8z3d1iOhHgCupMJpi3VUFN6Xk63AeMbakEUZK0OahW7tEqwkJ3VgTB8NyN9+wzZdZjf7VA6xnxjforraBjPG1htWRnsLB6gsEtBs91uo9KLIF2kzbUmJTboAQv0y04T8vFUWjBdHZE1VxC06r7lQnuv6GanbN1yAaKjb7AGoPGsPPzSM/JeUXTTjdGwWjCh6B7VktBn3X0P9A9roJ4Hwnx3fV54309PGErQNVwj0D3qOVeTCkDpOK1V3xUS6/6VHjL9R4UIc9bEfU2EZemQO8HvloDv+iPmcwIuQc+zCoRFK1ZhVih+PK+JWIdukwDxkhEeL6BphpwuV35L/mJGeh6Qnq0V0gjkHXD6eQaiIH6MTcjNz/DbXynd7f2/pv8/a/+ybEmSZQdia6uqmZ1z7svdwyMiM/JRWVnVKAJoilC6hRNyQP4B/wUzDDHCjCL8AE75G01ShKRQ0A2AbKKrgUKhkKh8xMOf997zMDNV3RysvVXteERWpUjWEfHw8Ps4x0xt69b9WGttLK8pjORzZZd7vsfD31QMTwUf/3TA458pylRR7guQBbtfDxzN81Lx8R9npI8Rh98ElB1wuV+x2y9Q8zG1CkqOiADWJWFZEmoO0CII9wv0VQVyQP7IsX3pKGx+XATynsXPfBNRd4qXP/uAl4cz/uZ//jGm31J47POXTxAA38Zb5CUBHwcMH6hevHyRgaFiSvQRL794gnyp+Ph0gL6d2L387Q6qHFUnAOJTAI4jiwEfaBOXnxbcfHbC+b/cYfdGsF4iztOe8ehtQdkJhsfQUELTey+O8TnmPVAnbf5VA2cWQziOSW8ydAmQwEL2+Bga6gCVe7aaAKwok99wCe3/1YpQw5HNpnKvkF3B8F8mHH4rFMz6KYtb+bYi3wiVjKMiHgOmdyySzZ/VVvRYn03EKijRcFERU8Gff/EGP795j//09Bl++3jfElsAKFUAsGiJjwOWIeHrHCGiiD86Y/1SMPz7A+7+k+L5Z4L45wtqFdRvRxNeI0Xl+FNg+OUTZNkMIP87Xv8AndxPymAteNp8bdv1coESFVxVWFuHNvT3uPr65mtV2X0KgMv+A2jBnFfSr7ojih+sTKtBDOQqAra/FO0apXV+7DPFA9dNhVHQlPX891twK3xjGhyhM2EQjqWoveunztsSAWJkV2kDK24w7b/vZR0DFem8LIAVuaAAyGWsUCY7ltB4lw1AH1PhyyYWxKsn8f2++VwsWPHqMNAC/KufgyXGageKwXzqwMpRHRVIlcIgBm/zRqSLSnhlNmTybjUpOIJG2yHRxgLYn1AIh/Vgz7l8MGVM8m6tmPC9DqPZmQh8jIgLknEhKkVP0iagdNu2GZp/17PavsT2R+uM+/crr5ltAWGAvjVbRzW4qXhr39c9SLfp3w+8vtonV+JXnhByeWk/DuOtrF6HAOpJeTJlv8fG3g9/5tV4os2aMCeT1oX7wU7k5r6lmMiOSu/2VvMHvjbNVRg/yvZC4+Nng42KWvcXPcjffpZ2u952ABVbfpbBOS1warA2S47qYEGQoy2CISZqD255ULFLratcFz9Kt/M2Kip7sNWLVf0XbBNt7c1b7dt/Aw2Sef3rG7uo2jnnn/ok/wzn6fp+sa7h1fVcoRkUouz4SpSegNuzafDOjY/69OW0E2y/b75fDH3QupqbHOKqaCE9gaVPsjmuJnojbQPw52tS1JHaEoAr65fN/kffzzRQ+sntvnZI8Q+toXV7Pbm9Gs0C8Oxqoojaz7+Nem1bckczqF4n+GbT/udqTQ1E1HUXCB91Dmiz92p/J1x1creJmlTzG0bNb+gJcT6hJRbeucuEp4WVxZwwo3ERQ3Y7rw2J4/d2dQ/qvn0DV26IkI3tbv/2e3OV8O2YJ7UEz4tucu2Hmz0ZBPnTM3LrozUIg+GVP8995fGLGahvs9JjGrUDMRjfWjI7o1saSk2bwqEfDeH6mTRqSvIuvKIOtj/AWaNQO4MnU8G2M9bN2X2z20eDyavZY/TrUCqSWyGwF2c+sTvbm0Dfo71gY+/tPPxiRV1hUrg9ZoMlyaS0mI/NaJz03hV3XrobB1p812zcYgunlW3jPAoTMdnVDJuN2hFAje7myByPR6zLVs4RaxVgjkxOrIB/FUdpLyw3wS73F077KZXUkdoRaLr6+/VnQ50WJZQX6BoVgAl3mU2Ziq+KQrygZ51CzmO+LpwgKguva6eAOTohLt1/ehzgf8tm1KNY8RoAtAryyvnRYe7Cg24HFEAyX1wVS0645GQiU/z+eRmQYkVKFUDGGhP3QWKiF1LdAJCUXV2/mIqmLOzoBrGvB6PPUTTXxvG05w2iUaLyrHB7EiDUDRLF1y7QXoJKR0+4zkqEdWl9UTye39iqcq1g6tGSrfFh9qOG9OM5Iy2u0dgL7Z6w6t4MLpJyUFenlyjqrtJmqgA5AAMFoZieURF/DBljyFAVLAung6TEi11yoiueI4uZwjODtmWx26ZBUatAbV41wna9cGU/f9/rj09yAWAcEJTdK3k+sRu2mxjATCOC3LHqPyRWWJ+YgethxwPED/wYyBVzdVqrZGNMPUCoQDzPgCrK3Q75jqQUd4J16rcUZ+2w2iDIey5KyDaOAUDZR1zNCXWLt0OKEGXroBoUuo5j7+aO6AeYsAKTb9Aci0ZWRjUAwzPJ+9UOi7yPkHpDDqMn0M2pJuh4R8Ms1pExQSDZdDjKLnUBFYMhxVw50BpACNIqy43HKOhQ2M21dwgf/06nYvdLQZZgDlYDx314Z68O3LjjM+/BO1D+ni1waQGQCUjtrCq8MBlY7lkp0sGepfEIyKmhs3HxH0+2JAPjh2A2YLdS+mcC6PAjZRcmXSjOlU4FCMB6SFTEngvw9j27sbsJW9XZxp21zqPsrFtrkHJdVyAvTG5T7PA2CGQaadfZulqfBrNmdzoYwc34q+IzOWMELDiIzzM0BMIjo0A02uElrZLncwSbHQNoCskGdee1WyJRlQUCH7di3KgWjCkP8qpogm5up/mGcB2o2UHh9+PstiQ2viiQN2hFKU2BfM8oFKPytfQgznjn3tEVnzkdoyXE0tZRVu6PuNYWtDbergnctKDOlMkFm0B485z9ACc81gOL73crNADrXvoB4oeGrY3fhydHZbJxFoliaYQrCbk2GQjGb/YOevSEtTKo1ygIkwWlDg/K9rsLMDyxaz6cKgXf5op4LlZk6vZGpIZvFKG4VN4E/0OyYKmQlz4k2nu8p504J7dWyPOZz3JgxtKKQ5cZuizAbge9v+HecTvPhdDl3Yh6Y757yUxQnNqyG5vSul9rOuaWmOY9KSJS9CoAbom09gDYk/U6RpQpQrJieM7sfvnIIuAqEOS4C+NmTT6WBagmALQ88POGI+087wXLXYBYNigV2L1bEDfrrElY0LR/tyQ9cF/LmeJSukvQwQIRgzPHExEPdeTaewKrgib6hEUNmREQUmBncC1EVblwoSXARBrExuVvaAEL+rdBQVP8jT04h6I9H6AH327v+cA1W29gXHjbrpl+XArPQJ9RGTLnd3r3cHw09EnimR8vNipopZJyyMD4WIyfv3n+Ucz32bUZvBhrBo5nYNPhih+OiGO353pH5FhHk1jBawzILw1vaAl0fJwhc6aOSC6o9weU6XaTWMaeYArM/ylHFo0RcVbs3lV2R+4JvxyjXCUvcQF272s71ztUlz7m/FkkGukRrTsvi9n0Tx9QdgHzfWyfP5wr5vtItFSUdkZX67rng5r6LxMAFesu2X0DwHoOWF6w6DB90I1gHzB9rNi9zR2ODz+TKJhWdr43tt/r/jIUYDgWbBFIPtYwroooirhUjO8XhFyxvJww3w3t+YcFmB4LVKRxfR3BRoSH2Wo2d2/ryRnEpLnMr6SJfNEIcDWWBsJYLh8EeafI94XJwL4gRMWyhAbrhQBYA9KHiFC4vvlghZnV6GsXQRBp/26z102waQsjBjxJInLB4An8qN9T8AOAm78aEA1Fl29NTdniqyZU+ITm4wBguQ18JguQPkbk+4LwckF9P2L8Ne3t6eceo1OpOazAMkSeZzaNY3onSMeEuPSkVM8JFwF0jpu1UshU8dnrJ4wp47sPt+S8fjPh8Dv6HtptL8KkmZDpJQB1ovNZ/sM93i732J/4vuNHwdP/9Aplr5i+OuLu5oKPJSInRbxd8fnLJwDAZRlQVPD0vCev9ZKY82XB+KELVrWRRJZ8Xl7Tb0lULEuCjhXzCyLLpm+593xPuXpxWLtAnqMK850i/uiE9WkC3lIpOljzrE5UrS6rjUAq3d+uN/b+AcDjgDgLxo/hijpQ9op8YLEnXiy+OwbUZUD+akb+RzO0BMQ1IcSCr1494jBQ3+a8JjyOB8wyQYeK+y+fMQ0Z333zgPAxAjcrfv7lO5Qa8OHMjve7yw2WmvCrty+x/uYGdV/x4sePAIAPv7tHfA4YbYzn8kIRv8gIQXF+vydiZ1AcvxLkvWL9bs8mwH1GuQfml7GNvMv/5RZ1/sPS13+QJJcKrQkU57FZidXKH8GD2cjkVRWyumb7BFd4bcJUof8/APhs3N4p0J4suKKfoiWquuksu5iDJzkOtYxrH05fk5G/Nxw+P8z4/0puhjvorZP2CsMnTrGODE6odkbSP6I2Q3U4LaBYDwHRnHHjxyg5WjVRDCOe0RMT4UEusGQ4SQvUAFjSYo4/2AYzBVIkC3L954A22nFb9W3wMVP21QDIEFtw1ZIfua6shNUqwKEnQe1lybMhFkgs3yt0cW6IQieFpsqETHjY1gFs7nvRoFWy/RmjHbaeFFxVuj61VYNZEZpae8cgCKGDlxkIkQnmD3S4moiaq8gWBtWYF44Q+h78c1tN1/779l5MxtCTaIBJQBA0xIPNWfVxPwgKGQIXZtNpVSsCNc7VZu3b5TRuXvu1769RK6VaMlWMeuDP1atqXgk0ISBW3hRi8vM9iTRVThN/8nVBFGgIjcdIgZRPDmwvgLVS86YDZffLzt4mUbVEzudIywbSCVhisOn2eDLkPyMupiJoP9cCjtD9iKuONxE1CxoBtBELvj/qoKiTQkeFHDIkKuopARLMzNhp5L1Yt8rvrdLuvWsGv05TQXS+Vly7krbPQFaV/pi9s+ftDk+wtmicGOgbSmnznj8xobZmWFfTWQgtuYSSx6uXmSr7phTuBQyJapV0E8lQUJBPS++2+ezpKxvkvNU6hj6KqX7/wlrh3MWmtnoLwYobxYohn4ozeZdCrNAx9I6NWpfLnyXEErbshQxpPpG8bul73Tv93iX3awM6yqBWnqMAuc5a6Zyt0AMRiPHXGuQb0jvWfq8iEKWfkJX+qPgMdvtYv5bWXdp02K+Kg/3Ltm/tZxR93T7xs74HauoBXpulLtadit1H0ddsnsPmPZ3fmE42i9rmhBPWTxHG5kuDrWXgA+xnsvnReQa0U0ywrBDJ1FawAvzVq3UlCU9uExEUkDlTsGrNjHfGoRV/HbbsCZ4nfVJ5ViNQdyPNagVDuvEageB+XGiPcRFw5JDt/Su/w3Vj/KJNGKmOAcV0Lih+x8IXv69QcRVorhk7OUxw6873iRdg7GHbz5cAqATEwbrqm+XkrNlNYQlgscYL4ds9CzShLtd2gNY+gkhszwljt1qbG0JYMos3MpnApwmNqUIWwJ10TW5f7uc3Z3DthQMpVGkvAzBvoR3uV+wc6AUGQMXWKilkrDjczoihIu8CSglUDS7CESlKW9KR8Qyko+Ycru8cSNkUNdO5f97VOW2xLgCjGHxyiAc/JPiaPijwQJRVTYp6a7hbi0E9Id2itJxP7NcCAYYx4xKHNjc43xBmOzwx2dQkrYPqZ6XPam9Jl92rroHc2sWeQ2Txd0wZu5QRoyILZ07v3tqzeWnIkET/3GL+Ddph+CgUTbLnFRYmutn0BsZUkIaMOgmmacXDdEFR8oC1hpbgtuRb0dangS3dHhITSMJ3FbXQx9YRCAtH4rgB1bShZmz8a03s9Nax4n6/4HGNqDGxoxn73ts+4Waem/gYgBXLeR45T7+hEJLxYWXzswCGw4q/+PxbvLvc4OsPd0ip4ovDE15PR/w6vMAH2WPZL3jeJ4Sx4OXhjF1a8Sbe0YYjxxQtNeG4DMglYi4Rdd5hOQ8YjoJs0DMRqnUPzwFhRi98GB9aloBwDiwwW1MwnAN0UNT7jDAU1EDNgHAJHDd0/j0B7CevPz7JvYIz2uYqprwZAg8PGx2kIUAqE2GokrPlHMfWvbKgYEj9fZUwl5psDqdV8VWECetaEc4ZiN7ZDNaxgnUv6eyTMdS9q9sCV+nBkc+9a8ImsXO4EFI7ZOJSG6SkJs6Y83ErYfX1sDUyY3XFxDa6RtACjWpcWTH+a+PGWqCkzjdUJhtqXQHJilhLg/+Iajvwne8i2QKf6vfnUAub/Rv4PulEIZgWOEXhoRj98OXPwgMZV5o2EYwreA36zzjERis7H7oCYScQk7Rf71hJ1V2BDDw0DtOC8zLgfB5RckA+EoaSngPibJvZoZkOYbb1jjPHIQUTI+F998OXF2cHjgJhqa0LJPsdhaP8frc/nxc+jxiZAFQlj1wVGAcGO437temYemJXaofMOaLIxmx5QkGIK4V92u/n2JJgHSI56UM0uJAFq7F3AQE74Bu0lkUUySwCbYWV3MZVzDaCV/mlXTfh5D0QDQUoqR+KjSM09mBOM+ACI36A1sSRF1IjhYfctn19KnqnW8QSWkuyptgTqWKO0YLOsGRIYbdOh9jHtqQA2ZE36omFxA4jFysI+UtCV2AO2fb/dp2sUy6mxlxMNEYDOFIDm4Ah9Pt2Tr5kgUZFSIo0ZOSg0CLQEpCLAEvA8D4iQHqy7AUbBVIrPqAfwG1MkHaxPe0/08aOGRQSRU1UrdCO97urYo4OA7CAxciNvW73zlWhAkCD1c4LhaoAyOHAsVqzGXohfFeHBLWkIL099kTQ38cTZr/XzfoD2MBjqWIPMNnsit6bQLteP8OG9vGOqkFCg807LXt/jvRTUjnj0SHnTQ1+ABAVeU+nQ7VbrrU/B3b2NwVXBbA6EdLUzI2nqBIAiQ1KHZZsHdiEsBYqRWtFsL3BkV/X7+0iS3HLZd+M6YFyJ7XOr4CQ0/rp+jJi7JMEfD5iV6Tv/HKwcOqJswiKcZjLqOSTDRu7GQV15HqlkzQfKAqEi2LI/f2bfRvVxgXU0qnClZNDri2ZRAELGFURzsb/XnO3qXHoCuEA8levIDq0YrcXYmQ2+x0jJJltzBxvVacIrUDYDfSNhx3YYU9N6duRB2EIjYfaxqCN0egdVCduxeEMTB/ZmZ5fDQ1xBjAZ9PE+vh7bQDnvA2RUpE0nuK23FRIc/eGc/V6IkKbezCP/+vel8IG7snG4CIbnrh/QE43+OVtEUZgLwmLjpkZp+9b3otgzFiWyKp4Yw+X90BEtNoYwnfnc8x0VryHUftDINXDf4Pxb3of56UGw3Hp3t59XLvoz7/g7fSRe96FSGNZWP8fMPXFEFQXS1jUCA3CYVqRY8HyZcHqegMBCPjuzwiDe37OgjXZbb3l2JptzCvT9FRbYeWTb7VKx+/oIDQGXrw5Uoh4D9DDRxncjUGbgvf+8otwoxEbLhENGXQPim5HJWyLP1s+rmoB804spUCCcAi6yYwdwpF2kIxEWdQDmF9bRtP17+jFFUcf3gvHJUEz3vfkDUylX433Cxhr99lefAQLEm4xxv2J5NeDpZ1RUD9bBVIv96gBcXvOc2P/W4rXEub2auo2XA33QPiguy4CcCX8+Hyf8qr4CACa3Kqg59OJGAMpNxfOfSI8tt2fQUCG3GSKK+jygvB+bboCoac+0PWjipyeu52pIl/kzRZmY/H381QPiKWB8lDYFBCDiJocBqII6VdQJyHf0d8PHgPGjYLmnErEORPJQjIrF2LBKG0EVL7wH176pVXDKI07rgLwm5Kz492++wN+kgo/PO6znAcN+xec/+ohdyngxnZFCwRefP+L5bsLr2yMehgvmmjAfEo7riN9994D6PCA+R1NCBp6PO0ioqFPFegeEUVBNfOv8hiiZeCLPuA6Kurf4NRPpFt8lAAkpS481B9uTf8Drj09yrVu6JYupKiudMQL7CdWESUQVWEMP9ksBcrCRExslW1Pv3MI6VQg99Cpp67CsPITC8QIMiUmucw+LAqMF/8Vm4CkhxWWUdnA67BbFRigYD8ors2VkhaE4hDFb5dT+v4yC9TZ0Lu72sN5sDsnS8Ph+TxDr5DkxJffANNqBW3YJNQYG9gVQ9LVhIAoWC1ylUKRde1MSBbooRxSUNs+RazE8F8STlWYtYa4+P3Wb7Il3fXti7oF2Sx5UrBPNgCdkkLi/4UlTmMgqjIcKREXcFcRU8OOHR/z05gM+Lju8nw84rwPeTwfkNSJjhAqV1sTHApnKWh2kCUaMR4qrDM8ZqLBxM2izOLevuG66gNPUy8ZXdl6ha6WdDiMTYdVesNntrn9PewLsXMbGYayKKyi0BIhyzJDAVAirdsSCd8gM1cBEWDhb2Udy+MxVAVzNDj4Wx4obUD5vWAdIFPCuIO3TeBgpwgswrLZbgGJV6OuuoiW2DnMDK5Shda1sOfwaEx13rADy9WxJMZipRmxK917k4WzRsHDcjObK9FfV1E8VGAk/DQsDXEK5t+tgf4KjP+pmH6J1PdkJ1db5c5vnD1sFPYCcKj80rHPgyYBuhF6c8xIKKKgRC4aBf3gLQpTveYQ+RWgx7pfbp1VnnYvZR0Rtikst2LRk3v8UNRV7G9VWfSZ5hSQmnM0uAQrsrKV3CzeJAR/Shmu+tfWq0GWBLitFBi0BkMVEBddMWx5u2Rk7LcCHR77lbsIVHWDL07367M1HRlzNpwyJ0EMfMeUd3K1aa0t6U9+nLhYV5swq8j4QZLBYEqhoasNSTMVyoL+qExX0w2LiPMqiq3ekOKcUDcYtluTqxCTVebgaQp8ZPBcWgr2YpcrktlTIYs/iZscumb/8GWt/9nU3otrYNik809Qg/I1MaVQRBg1W6LJnWS1JAxRptuTeil0UlrI9Y+7Ex6fUwTiJI6D7AhkdegNoCZxJbBy7WLrv2SZgZeS6j08mkGXcdp8BHwq7uFK1Q8D9eeaKcGGXVbLZMQBJqTsjAJfXO8icEObSnpEATUVc8gCMkcn0aYGOCWWf2JWc2G2pU0IdbfTQWoC5F1JrjZCBs87jaYGGYEku17Uab9kLUelpRTyvTHJ39nWFJXFMOoZi8cEGwcCfpb/fjm5r+0T8DwtBg3ZF4zJaQrOhXLSzQBlIQ6XxMcPC5KbB0zcJW28KeCFTEc8Z4ZwRdqkHp7E/b+49Fl/jUhEvuY9kGhiz+YgcH52XDzybpPDrHGXXE+gtekyq+182NTTabGVTtXU/st5akrsp4m671BX28zbxgEVTsc4xu7cxVuyHFa92J+QScdQdEMhjZFIYkE6A83xD5rVoECa5TUTKxNv2vJZ46kraECDMFeHb9yyqf3ng+TMEhP1An3cYUUts1x4X6pAU8LOn3YpLHRt1Lu+BdWfotiIsTtnolvgcOhc+JwTj1YpYp1mB+TNTcC7gTNdBUT9fEIaKctlTHOpGSPGw6SJQkB6V+DUMCswBu69pJ+dfVtzdrlgfFlx0RDwHTO+kqXtrAdYbjpAcHwNufkW/8fxzGxHklLexYrhZWrdwsbm8yAGaAy4X2lKHM27yjahAqhi/mBGCYl0SVcZti6RUcXtzwVoizt9OjTLnxYFiqAgWhBj3pxPHc+UDBWrnLwpkV5C+HjF9HRpMPaxK6h+A5SGg7CLPnLGyCXQ3U7Dr8Q7DM4sksmchrixc3/IiI+wKytsJ03NoDbaOalXGHHnAmiPKEoAqeJzZuZCnhOEsKD+p+KeffY0xZCw1oajgH738FlUD9nHFTZoxVY69ElHo+xE3v43tXAgZWE6JWjVJUW45Ms8nIAzv7dyzQr7uQaGtNTBRLkA6cm2AXkBY7yrqp3HI73n9wUnuPM+Y57n9+/Hx0d4hWoexErqWXErY4WcMsAjZEs4PnUZose9ZB5ccSLtoEXK3qlLRMESqbrrM/6ZDRkhLQL3bWdc1bkbo8BBYD2JVSTq+xiuctVX2vHvaxyqYMVi+oPYzPpPPRX2qdakb52CBdXd52EOAeA4d7jJaRXYmvFAtmQi5tgcJARCNgwW0eXDbILZd3yZoaZ0p61hVcyhbJVkX+AlFmaxEG0Mg/fP8GTSOkeAqsOUBA6i4c0TrmgN9fVyls3X0YMmQw3dXUGAGAKLi7vaM3bgi14Dfne4xFwoJrCX0WzYn0kj/gtZB9nEvLqTAw7xX56RaonnVgYKpoAIoFbWsTC5KRtnC2wAQN+1oBQtcU+J7brm2m79FpCVsDZavyv3xCay5XZPDvWIAYoBGEz4J9n1I78Y3O0CbXegHJjtKgoSKjGiqqp2neAVjBlpiHBfv6NIGvOIcvFusFCRAAHQW1qTC5rkahKhBDz0g8s+rCoexNY5wu2euF78nHZ5t3UiotsIL0Rd2HXZANb5pspnDVuyhAnuHd9E/uMe3/ZEMChscUqatiNDHEKH9cXEYt7crtdXgawLCNSOTf0190VOoCKFukPCCy2Hs+0hsFJN/Xulr2hJbCzDjqldIEC9ooZr/BTo1BEAtGbpkQNYrO5d5ARDJIa8VsDm3zl1U93eOaLgqgLm987ni0wKZ2b2shb7fobw+R7owCW+vAB6I9rlXCSvQAlOx4hbXJgBLRVTaTFPO3ycwWt+8fbaFNaRQE6QL1jETRbwIkouHmcpseoqtK9THNfE5VNNHiBdHJIB2VqrB+PlMuDe1r+XcMxNXApZitJoUrvi8Kr4viG6C0N/TNQQ3rs2NChQbxAQAn7Pe/oi/N38eodtdg7mZ2wgFUBOn8eKXu6atuq0kRUwVMRXEWLGuEXlJ1mVhRhGMo+v0B6jDT20tDHkhCzolye3QtTKqXp3ZcJ+bF5TzsYkr5torzOPTCvG1CoIaI0SjQcUt4Tiuxhe34pAVAT8V5uJ6mv/6ZI0hgI6WHBt8l5MMLBg2+8k3CXUXGZu46Iwwuc8HfwaCumhDL7lQ1zYmaBDdQi0E/xoDzl6QFO3IHO4FQC+B3bZJoVCE1c5Ogzo6FHKb2FI7wP3P9YFSDX3j+gYAOiTZ/xIBIhsIuBtbQdWLeXGptNVEykve873iQh5u85Vrn3O/3F5PvWARgqiZYPdQDPrqCI2gPQEINl/XOcMBBgKwwn6dlONNpkoY5/0JN+OC1/tnPAwXPK0THieOAioAZ83essAbVhvlEqloDXg8JT3+s/VpYkH2vB2VprcHIITWBEnnAj3PqFpYqCs9Tj99HhEHQbwQQnv+uANWiiKVUVAmQtXTiV03KeZrg/m2YsUOWLzm6Dnboy1pbTYv0HNCWRRhAJYXnA+vkYmn7lggxBKIbBLbO0Exv2IglyZ+YEwV61RRlFxzKez0cRYx+bJSgMvnVuSISqX9iQkuAKynkdeXvSJ3vcYQQKL2RNftXcGCfxWoCvI5AXOAiw6ug+KxMi7VQbHeGInK97zZXh6V8Hab0dztHohPkXsuKS6vfV2JdFlvGcut9wrdO/qPoyWPec/n8bLSrmwcEMDONQQQE4TSSA6zU3O8GeFr81vcYz0PCO8HIAD1YUUYi8VGgrpGfHO+wy6uGGNBgOLdfMBpHfHF4QkvhhMyIp7zhLkk4D7jtF3nyLhJFwGymH0p8q2yS3vmnhieaW/ngUURKV08K++9YGB6DvacXbjt73v9wUnuv/yX/xL/4l/8i+99XVMCsiWswwBMI5xbpfa3rIEHt1WncXtglfUyQ+cFcntAvbEH5/yk08W4WXseWPOKNNshZdDOukvAEFGnhHyIBrGk43TxgeU24PKKC5b3oXedjINLjg/5XlBFPaQW3PfB3uwOaGWQ5bC4EkKD/BDiwqRZA7DeCdTU5IanfpDnPTCurFq3SqPZwpYbqEmgUw8+AJgwyyYYiqEHZ8ZD9M6ERkG0RPUK9mz37ferIQFgEp5vhxbwA2jrsK0Oe8I7PldK4huczKulUHJcpIDiDIcupKMBWA4dipnONPiiQBgK/uL1t3g9HvFv3/4Ev3t/jxgrYuT8NHdQzVkapFatqtvGGtih4AdUNmGxOFuHx4O9IG29WodrWfEfn/57/PXzv/rhTRAEriau6wqfESoAu7brSrhyMulQL/g47HdIDaXQijsO9Wzwyk3CPLJsqpPBcL1jY1Xrxim0Z1V26JB1SCvg1CEgDop0EaRTtuAf15/vLxFIsRFdY7AiDg9hwt8joXaiKJUHdlw65N7HSG0hh3HVljS2DoUFqoKKYONSmNxGQi0T1WplUSArgGzcf4NqejFK1TihHa4KADoN3MOORgATYB3s/QPF0yBo3SEXSAmZHSOAIkcNwrz0JBZQBgB+UnonI/jeRONy6gBTJ2QX0OPx3bhilzLGUDDEgsdhh9/OA8olQkOyqi4PVR/H5CrhHgT6eC+H84VciUhZSuvgNvpBABTssvynp/8ef335198zcX06AYc7+vHzBfXxCTIkyH5Pe7aEtCXMrupZKxOsceDXnXNqAoJSKznrawYugX/bHtHDRGjuaeForhDaM6pT+n4yZn5IXRF25BeaT4f50rVATjP9ZjkAsrPf40PybqDGQCV3f87mw6UKxkfO5c17wXLP82D3bIUCUw/mHqDfLKO0PReW2oLzuErr0tKHl1bMkVyJRBJhsdb2uszZ9v/Q4K4QQTyvkEvm+TJGUkpqBIrSVziE14qfdYPW4AzratQFQdmFDaTZbOSKqwwWM2GBn6oFunxPcifVVOtha8h9EcaCabfi1c0JL3ZnfLjs8eG8w+UyIJ8DdA6tYxYM5RRXxXCsDGZG8krTUTGcckNceMcQIbIQkI3PbGeTJrJb9XLBf3z7/8Lf6L/7np0Pv3tEePkCdTegDgFlCmZvDIoPvz4ivucwUFJ+AsK60UrY+EsWkmjvdYwNSSaFxcJySGiijwkIs2JYSkt8axJcXnPk4Xpjc+Ot06qpj6Mpe/qDdDKhOeejemcVaD4wXirHPAVfLyKewlINMs0qsVjhLl6Y5ORbjhHxgh6pTrSF6HBMg4+jcoRTnCvSmd11HSjApkGw3iTgxsXbbC7wmYiiOloBKIFIlilgeUhtb4vSL6dzMeFLJq7zAxFz06MiSW2FkTRX3PzqGcgV9S8ekA/SKNhSrfMo2gvwe0skMiHRsDirRgoDTY8VZeLs14qOYCr7CtxnDLsVD7cX3IwL/snLr3GXLjiEBYMUrBrwNE9Yc8Q5Dey6TQVrCZB3A3ZvmESut5sz8sLGAWB7zKhw7uOHY8VwzJCqyK/vIKpITwvSoyJcMv7jb/87/PW7/+f37PzpzyvuvwH231kBLgxogmOTotxW6FiBc8L4EQY7vi6gx/laCEuqWuynmNdN4RcWD35ktaDsFCcTWUQAdKy4+/wZQyx49909MFPgSRGAqeDOhI2KFazHiTFSHhMWs8NyU4FUsfvbEbe/VlxeCZ7/PAOB45DCAuQHxXCzYD2NiG85zmj8yGd9/kKRX2yCWaWf8lgzBLU6JBPYkiNKEcT3CcNTaN3kMgLLQwQGJqH5tjBxX5hMB9NqwIsFaSwoKvzzNGD8LiKsgv03AlHB059l3PzoiGpq0msJnF9bBeFuxX634nIagccBYQ4YPnKkz/5/9Q7/zZe/xv/jv/wp9K9uUXYK+fEFMRXTR+HUkToBRQwabokvBIQBfzNgdxaMH1lMO79U7PYLTs8Dn+kc8Kt3L7EbV/z47glJKv72/Qucn3ZYvwz4X9x9g7kmfLjscckJP/3xO0w/y1hLxFoDPp72OH5zQ86tFTTzi4LhxQXr84jhaUC8ALe/qRhOFXmXsL4CUJgAa1TMrwu72Mc+7ipkABtU7N/1+oOT3H/+z/85/tk/+2ft34+Pj/jZz37Gf4gF/9EdfM+wpSqDG4C8mbwZ0bKBpl0JPVX/XsC2ct+Eehr8zL7uQb9VP/3wrYM04n6NQEhe7faL6wcz8UcMVv2QhhrM2eCsqjzQgU1RSNUw9x0G5JDZaMOi48zEqw1i3yZk2z+KDrOzwFk2ayPWbW5drG1y0hbcg0EXNLGDz36vCiGYba6ndYS2nbGtkFZbev9/KyL0b3iHWzrsU7Rpmfh9bcUbWqID/3yBloClRMw1tcKgCBBFgViRgxoXp7+Hv0/7U/rntc80zpHzhNrvAmgCL9qToz+7/W/xp/f/DRACcl3wf/3t//mT9b2Gx/3ga4tI2P5qVWj4JKn0nwvodv9Jxwr+jFTRhM4ErUvp8HFP5qpYR1cZjNQoEEsIPr0meKfLX8HWQpSVNxce4Uf3GbxJ2KH07mboa+4wxgZhr56cua3rD9vudj388kQgn3xvy0f8fa9t168F8L/vZwNQYb5GPAGXDnXUDRTY81oLfMSKLGL3zV/YfM2r8VXcgUArRUmKDVOvEARRROvs1iTQkWrW3v3Zott5Tdh0coA2YumTn/vey1puvxz/l/jF7p8CISLrgv/b+/+LLcYnb/ApdL/WLra2fYYhQFKkPfxAhxcxGlqgJ8CIsRWNvGsuKfZOfYPju79XYLDEYHBfK9iOytl2AJGCKZSH9rkCMWgvWrGnFT3h+8w6W8pmdLACZVhdcwE9AYwwmOgn/qWdZ/58fO0F39v/vi7e2TYfzd/RXpTz993+/haR8em28H9vzkXA7tV59wp+lvvMFsj6xcM67p12YYcSv+fCLwY3ayNelFy3Yn79nKlg2i47KTQrz3/pvlpLv+a+NpszxxLtdl6t2hXY4/fX9k/lH+NPp38KORyu7FzWtfvU7UfZ9bd1wiaGKRabBINdWwGHKKCNz7cpCH4TVzNgtZ/HFPZyXrbdo9Lesgn6uZqsF11UlGNN2ntt/YD26w5o4w23/o80Bk9MNglyZTOrriClrKKP4LOf2aopu0/fUpA+RcFdO277khU7OW1hk0xZLAb0jnN/T792tOvxdfWXGhJNhtgaD00szWI0R31doXFsvQGgZrSJcnWQriC+MREpgroG1CEil4BcA9YaUVWwtjEOwBD5pmuJqJa01aioQ7pKIHm/aB1S0uzQBJ7ial1yRyEFkLKkxrE3Tvkvv/jf4hdf/m+gKSCXGf/3/+n/ZOuihiqk/4hnK0hPRtM7BY6my8b9DmhrXwfw7PF6vKGTpNjZr707CHTXfoV0sCJEOwcBxMAfavFCUIRUcbebsR9WfLzssOaInCkGpWvgZI+GpDKf4dzr6gaEfj67jZOT1QSkHD7sz1U3GZAIYc0haGuu5DVBS0DwkU62V8kXBwXGdh7smj9TE4SKoBCeKIItSnGEmZ0dsPh3XSNqCagWC7frbwbuayhNIXzJEccyYl0SJlMdLkUgQr+rNmLQ15jCZ3yPxnl1ESyjXOkasMwDEKjKjKhY14gYK8aQsYsZ05AxDxVBFM9lwlPe4bgMWEvE68MRr3fPeF4nPK07nCLn6fo+k8xr2e3Whurx+5NPfD8RKNb9zcEoQkC4CNJFgLnv/7/r9QcnudM0YZqm731dSgHSALk5oCkoA5AY+T3v5i6rcWQqdJ4BCZCbPbsCAORsZSw/wPbkaWkKLdBtkNnqiUmh5N+2sGrOYLkLWO6kdZYAG0oPVs0kM/ElV0MQ1sgOzlwhJ9/VMMiYJbnGFym7hDKxw8VAviJ+pDPNN4QcpZNi9/aTh2D/DMb5C8Yr2aoqB+8q+1ooEC4mpNGgloFKm969bZBfJrE6RR5mKwVVwkKIYN0PgERUU4wEKIqRjqzAlin2pL8lqQbhdgiVw8AnrptX3aFWHbTAR81hxwufSTXFPp/lSXESBo7xFFCQ8FdvP8fvdjNKDbg7zBhTxmFYsZaIp1iw5ITnx9FEpwx65CIYzqf2jaJ0yGXyTlKwjiBa0aIcEjRXpCU3mwohkb+21Kt4X3MBQuxFGQ9KnUvunataCbWPgaOI2rMXQzVsMEnebfE/UaApUphHtanMBlXoSrGpasJqZeJw8eWGQ9bLsIG5ObIxcm5gdEElBeoYGPt60GZ7pr0KeJ1+S5tET0UQ54IaA+JDaqNF/Lm7jTeepMHa4sJKNDukpa1/WzNT+e2B7AY5MMRrNNSUDLpk3UpFL+i0Aldo+UQwSFcwYR5RbSMk2lgtG7HiNk++Z7D9v+Gbu/+xPRDSdaGK92IFFecWg52tOiqAgFoU65SITgCw5ojdyJbDWiKiqUvVl7zORSbEOVBcKbuNCaMxK/pdiUJFscSNHVuFKRe3BUSDDKdxBMYduooQ6MM3M0VlGi0ZNe7MeUaTO3W7HdipwmTIA72+JohADanT+OUpkv8rAnHF1DGh3g5WuGE3t8HHC33jOgWcX4XOWwMwPHm3wbrtCpR9ggyGgMiV3VuD+aYjBeR0MCj0ZFzutWJ45n3XoduERsFwCohz5xptX3GhOI7vE9o8z40w9/MDhtBBkbbnWoHxMBmCpyf93BOhcXvj06Xfi3ejrdvr7y+ZBeU6RhSnn3iNIHnxgEG8ZCBeSg82gSaG1Z4VQH69+34rphUflWWFRy1MRmqij4cI8scBl3PEfBzxZqgMIkNFrQEYK2oA6lEQYZ3LiXs5ZJ81bEFlJCInrBXplHnWWMc6nirkeGFxZDAbdWRZSkgHjrAirLJnF3pZ2OmvifoXlgyKK7yHgPrihiiT4xmyZoTjDB0i8osdyhQpSrUUhLUgnGYgBpT7EXmf0JTXs9IG1KC3gCGr7DrMX6RZoSsT0LqQt7e8rCwGTMwONAXIKtSjMJqQIznihbFA2UXkWxaBVkNRTY+kqWwLIh7cDyeK03iyStXkxLhjgY0ewZXwGG0eTVUeykKq3hiCyfxmS6w3IluSOc7QuzB5F5tonyfNwzPjlryPmF8mi4kUsSp277Vdg88n18AO+Ie/uG0oujI5vFcRII0a5kWBuADV+I8eowRDm+WDYHmQBhNuQbcCw2OAHgX5EPHhHPG4IwrnbpyxiyuSVFxKwu2wIKeAIRaUGnBeBpQacJwGlD2hutE0RdJJTWAKrVjvE0DGp4qwEGW03sWmnn/tfwbIukNYCuJlxXZG+PAcsN7ynoZn4PCNoQJsrNBwJOT8+BXw/POKuFAwShRYHyrKTcXwwWDnkYrCTHIJh1/vFHhYUecAeY5sFBVYvA7GgVmoW1B6Ybch81JFul1xOMz45cMb7OOK/8/8E5wuI5aPE9L7hJSBdDQbybEVf45f0db2v0mgnoI2Yaz1yKCk3BfUc8TuW0E8K4bjxseKFZH2RH4UUagq9tOCF/sLnuYJ56cddA4tcS87QBP3zPjRkRIR5eA+UplzTIUgjzWirhGSKkLkm9RJm78T0Kbw8YbCSs4csuLBRYBFAF0iounYeEI4/+c7/L+/u8H0TcL+W8V6IzhOE3JShDkY5cZ9PwgVVyA+ps5LFz7nyy8yUATp3QD5bkD42QU/+ZM3eH/a4/hxjyUofn7zHj+Z3uPFeMabVzdYSsJffvgRPs47vHtzBwD48Y/+Fv+7F/8z/sfTz/DvPv4YKVYr1CriOSBegOXHil+8fI9fATjuRoTMUWGhmLDZVAgNt+LP9F2EJsXyWQU+m4Hf7nD4rULP1/vg973+AYSnajtwna/VXl4997mL60oubs4gv1EYPHkyvO2AWYJ71dUJ8r3g6fde1sDqRKvaBTTRgyAwZVfrckXn4vJaKdJjh0K1RL5dl1wlBa7EGudCCFgSjv7ZQicjGgSn34wdqjbUHJtKb4N12kiasGSuX4p9mLp/vrKq4x1WFyWC8Uxaldmr0LYA29mx5H1tLs0qZBS58mpdP1Ac9twOribygtZVr9Yd6Cq1fr1KJ1h7ZUwyIItQeEcF+3FtcvJTzAhQXGJCrVZu3qyhr0H7WzdJmwqqZTsdgnfN93IuZ1+bYPZof5pBaeuMtAS3XYde/5za6BZPvPxnyic2XtE40g1KbtVaNZEL/z3mX7HDNlsXl1Va57S1Z2D1HXgn1waKe2DwvZ3zQ92lWnt1WdnJUWWgGnemdt469dL5cl7x9edhRQiiODZ26Bdh9/uD1xI36yf9vr8nfgR0aL/bItATjN/XOVYKejX7N8ffqtOlJ7jObfMgImRl11wIXXZ0BdEiQh7/Sl/E8QqEeiJT4TrniBAUpVLdEQCHykcgRF73Mo1tHEarslsyDqB3Jvwl3LN/h2vkPZttccl+4IdLte5s6sksQBpKqeQxOV+22W2gHysV+mlL2SHOrnrrPF//LK3QidDRVvDxjrpIQ7VwhnEf7SObddgiBLxbWTV0xX6rDcDFhbZJpS+f0UGCau++2T0mm0l4VX1W7zxtuv16/bePAFIXL/t0f/t1yCedMP+YIG3/cO1Gm6ULK/Dq9T5xm2jJgN+cJ6I2egbGq2sIEtC23c8VvfpdGKKhAiZGJBsEA59PcN9u/LIKBrUlCyQpwuhFGvBheNPCz5ikbZyOq8NrAO+vfHr+Az5HnuODeoHAr1niNQ+7vZzH6kUie4bhkiG1suAyRBZg/D1tT9QYrEjwic8ym/EigovVBYehflpU9HPY30aBq4LZYN2XRENznQKPJVqH1v4/FGVD3YpDdXC/sXUY27PYUQm9o6tREZtqOdc3XgzCn7R1BD3B7feCH7TdT/nLbb8ahUrGsFkAXmZYK4uSEvsEB7O9aDapyQvvtFvSpXjvPlP1045pR7+ws8sxgrZ/7esqFOMqI1oRvaEcqhVwPCYaIyqAx8sEVcGSIsZYUFUQAzfKECqicIxXLgoM1UTqWNDwzrQnLwDaVIiwWly5Msn1znwLgVroYkVdR01tz7osqHv6rXSWBs325zA9VaRTxemLgLpzuAmTx2riTbWJXYJJSFXUkcVbjQpJFWr8WvHMqdlz51dqaVuun1kBSEPBNGTcpxkpsChQcoQsgTB6F1uDrZUlgGVvmgnPfNZlB1Qbu4aVnT8ZKzuarotifskNQsHOqSbyb92Ek1TEUK3QL+16NWhT0vcpKoxv2N0mbaIiWLFacwSKnWWOAjWdDrer4RIQz2ZvVmipE886yYwjmk/fhkYngayRk0QWcLSXFRM4volCYs49d36sIyK8IVEnxe5uxrpGyHcJ6SxArPjRzSOWEvFcD1AVHMKCu3DBq+GIJAVfX+7x3fkGx3kETMQrhYIv0hNu44xgnfFWJDJaIQByfFPB0fyRRpjCOX9Hfb96s8O4314oSLOizr8npvvk9ccnuWKcIauYY8390AyBYyVUG1dRpJA/VBU4X6hmOA4UH7EkElUh55mHzZAgQ4KGgHrnrVgGLevdSC7uFm5mB02NBllJtlkNJ++wMZfV30J9gnWHZMnI9zusdwMVeh/nNqNUAMhakRI7n/mW3ToNQgnvAqQTeS9lohMbjqW34lVRx0ABBUswQ1HI3BMgh2O2royNRGo8ROP3bGFon0IyXXhJANTDAIDqe+lpgcZApUhPSHfGZzY4pSf/+UaaYwW4Tg7NG06syMYLHbEGwXDSq+RmOCvkyGC0mDhMGXlf8aKIZxNfqCSfr2GH427E8ONH/PjuhHMe8P7Cdk0MFUMqSLcrclRywRFQ7NDxiqvPDY0XJsTNEdkBJpCrhIeq3Qli42ZQFDIvkKcjtiMnJG4CfuebA31GKCxZCAAxOuhdXodvinR4Zksa7LmnCIadhQI1ItwTUZrSap0i1ptkVXrjg4/m8CerMlqSCxB6JtU44GfCnprCdFFCtT34Vm1jSBpEtQJSqwWkodmUB93p0r2udy7U9hQ8ELIuaFiNBxwAh/S0gNVFtVwgybjm/AeuYiCoIp5LCyj5DGjwUhVYS4d12r7kPG0+pzoGU0nnKI9W/Pg0IUB3smQvdDsKVpji+C5FMDhnHQR5kqtAlYIorJeIilWhIzQLSlLUVKAqSFKBlHG3n8nJmUfkbAIhe4PyVnbf0pl2Tcif7dkgoFiMMlGxRBs2N7RB8pXJaZgmPodlhWont0ja2GqK0P1k62r43d30vSJPQ7pEtQKWXiUazbeIEOWwZo4SSgNtzFXE/XlFUw4PRB5oBIp1i8skJl4jFtQw6S0tcA3WRdXGuW/QTMGVfXsC7ZoMYe3cSod/awo2A7JifNwkY9vY3BPdAqRzpvjXYqilGFBvJxZPt9xzEcKmi6lN2ixsGDyzSiRax/nCCSi3E6Rs0CEbYa+euEiLU6UqahSUvQtl6ZUPh3bEQjChslCIAKopIO8ZuLTCYbXzCu4HLKgLPRjx2c0QCyYVKBaYqDJY0XaxVMkskyDOgniSNn9V8+Zc3qgqezEtzGwX6RBQXt2iFaRVrRtS6XeH1ItqGzgpPnuAhsDxQMXUrtX8nSqQKwvhgPlhjnTSFNo1uW3VIUJf3UBjwHqTeO6b74izYnheoSLIN/z9YF26MgbMD9EKN2jjgqp1eeIxmHAMD9V4MU7g0pPXvPdEAs0/pUulf1ilBbLrISAOjBukKIan0ugtrSsPQC+CwZsBG2qKd0bHJ9cA0I7yGnsc0iHU1/FIMKGy5T6xW/tUEHxetV1jGYga8ISujD6aC2iQdkMVuOZKGShw2c4fLwQq13G5pa/3bTOcFEGpxRIXt20aZxfzqhiet4kNg3MqRzOm1EVQVgEQ8f7tHT4OFYebCw7jiuiJrQqWzBB7Shm3U8FaIo4qwBJQUySqzef9GhrFZy2HJAASOB6vx2U6MUEfnnJryEhVxqefFnOTtuQi74CnnxsCxOzl+BPCZ8MM3P3H1Nc5gQg7FUzvAvbfKOPBgdtofqndxn+9Y8jhBatBG2K4oRTNT65rpMtaiUoAgGHIUBX85ccvUWrAm6/vEd8PiEpeb05KLm5UhH1GjBX5zQ7T29hG9rRiehaklWfw+lBxeH1CvRU8ygEyU+HaueXxYoUgDChjwnpbkHcF83nA+3e3aBy7qO363R4ANMHJslPUu4zwmDC+4/z3sqPPlQAm0yosZAtQbzOQA+JTbJoENcFsQFEmwfxSqdB8lzFMGfPKPKcERfnc/FJSIAKXgcgDTYp8R3RbWCN9715RHzJzHaOX5fvCpDxVYODXl0tCzQH1tqLsBTon/LtvfoQYK15/8YgUC/7Vuz/Bv5af4bSOuOSEIRYMgQidcAmQAvzrb3+Gs222F+MZ7y97hOdo/FpqEsUPCf/q3/8p5Bixf0tdBheKkyqoTwOGZ1Mjj8D8iqOW0lNAfHOArMDxx4Jy+aSK9Xte/zBJ7hCh0wBgpVDMpoOl6wpdVuCwJ/TNfgdQqAlJic1OdDVNKQXyfILOM2S3Y5I8jZaYSRMlWR5Sg+RsoR5d1ZQKx+VgVceTdGjWJkARSzYlm6NYC+oYsTxEpLMgnQIdyWyjOMrKLtfNzoQm+ntKroiZ91GG0KDJcS5w5ePVyP+eEHq1P+TKEQNjsAPDuD3D5mGao/eRD81B2+ghwPJU63ixgx2sklcQnlYjmvE9qnWeW4dT0bpxeb+ZJ1wZyA22zulcbTYg5xTHUJAuwSoy/P04E/5dRwH2fnDBAiA7rJWCCFSRDRxi/yPBi/GEOd/jNI8QUXZ3Y8Fuv2CJFUsVrKsgJvBATz6cXhuUCqu2DrkPn4fn8drXs46RcGbr/McAFlm26soxNIVZqALrSg9mCeAWMojAYF7nGV7hd5GqlkD6+6iyc+yJMoJBowP3lBVTdAjIu4j1JjSRL+edu+hT2elVkhsCGv+E8zutULL1DdYtawku0Lg/rs7LDjKwhVdz9JYFxTaGq+xj5ygWq8gvtdmgvzxJvlJUhgXoakJAn/Bu/WfCWiE+RzSF7yXATeDKi9LwjmCwcVncX+x0dL7XVTOhJQz0J87TAkA4tymEukK5wPdO6NA8T/Sdd+j2VglTqzWgHnrAL6JIqLgZF6wlYl4HaKWDIFfKkzhWaBlg2nWZTxCgBRU/yHl2e9vMDdWcoWWj4LBJYDVF6G5qdBNCfBMTB3+/Utv3ft9n+kgxwBLiZYW4YrgRQcWREhs0io8SqRFYbwLK2J8JHLUghrYeXexDuT6GGhBvHQSxXiOaT2j811JNubG2Lr0IAwgN9B3BhaAC2NkQ9HFkXqtZK+Jx7XtJFXUkvD4sgvhEqLeOllxXKwqLsA5hndbWxQ4UUao2Ukz2yZA/tXWHfeavr33dQperAtGEjII0ZJAnj2oFAgCQszZKkKwViMGKQOiczEUbvNonDWi43jzBAmpXn4ZIUyiFwjj8th9EofvKYsWZ5yiCnRHY7MNi56dDoyEc2aNK+sIUSc1ZCp+1Qbbpi6NlhFbssVe531EMbMlAicDgiZkly96yBgjH92KjIbkaAguW/EzJgltCueNqlKS1UlAtBOQ7n/8qrRu23sAEEtE7OIkJYpy5r9n9EIS5U3QaHWe0wvpgaqMKhJkcwLgwsPSCqAY7xk7KmbTBOvqjdX6jwXovMN9lazW56BXPfY7tY9EyH6S9d7WlZmfUs+ZuF4S7srMXL5yl2tBFjkwS6xLmfk1hW4Q0Lnk1JIF3rL2D3rr76EUAF6FEZQcIJibqY+LavG2bPOACUJ5o8xmwa4mDoE6g0nChkepjQg3AUYF6IER5SAWlClYb53O/u+BhPGMtEarAPA/IdaQoa+L7Dd7WgqJm7n+YUGDbD1YQkArES2bhbIsW++RVI3O0sArKTrG8NDrFhb+zfJkx3C7QvzrgxV8r8iQ4f05/zfhMMDwB+/cVcwmYXwpKsBnYSTG+jZg+sAiy3mtHlNm4oE+RRrVE5Kytu1uU/OWqwLdPt1jXiPRuwPhekG1MUD1QlGo3ZNyMC1Ko+I/HLxGW2ODyrWtc2d2NBvl/OJwxxoLjfsaaIz7++gHxWxYXhmejFAnPmTnQRcgSEE7s7up9JpICaIVrBLVzw86VSTEcVtT3CcMjoEmQZ2vqGDS5WnHUR2WWRSEfIuLiZy3fOtqYpnxbobecFzyOGUsazD+a2nLs/qzsrYMNnluaA/2eAnWqODycUUrAOrOIgT039rjLmKYVl8uA9XkkSmRf2XFeA07vDti/POMfffYdLmXA37x9xVFKNUArsL9Z8OX9E5dkYfz99t0t/sfyFb68e8Iv795CQFtLZ49XFek5YPjIOc3jk/myBOSR/iueAqKhDsokyDcVuq+Y3g04fK1Y7gWX14q6fN/ef+j1xye53gEKpY/vsC4AVCG3N706bhV/mSZsFQp1HBpHFCIMqm8PwH5ilXvT2ZFNgTAuFZCAMhDTveUN5RtWMeigqwX7wapa0mEP9gcWWNUpQYwjmM42n82vPwoU4aoTEJZigUS87gK5QwWw3HPne2IIwNRQ0auTKZAra51TBuZ8Lx4a2rpoDjcDwMNW0WGs/n4emBcafgv+TW3Wg0h/hq37PXgCZQ4+bXxUIF8IUKy3EWUXEM8V6cJOLrunMKVKdMieQ4KqPx9t8BKuBTe2//vp3Q3+h/IzxFh5YMSKXcoIosg1IBmMZA2KemGCGmYenk4v1BB710I731NK5YicbeW5JSSVAZIrWIfNAwWATSAunrBuIJqtuBMCd1Y2jpj/nCo7YibS1vZJDH2MiiUZLpzjCsFMzrYiU/yTDxaETKx2OWLBhQVcLKRuuXYw23AI4to7X7RrFw7qTkTjJqG0w9QLRjpY0G48Ov48UD3b9qTL3y6ADnqDTOCzUXbS1eD4jrjYvMoUgV3s71n92rpAD6p2fbDgh4gVdYZglX8Go9uCWBNZscLTFeJWr/922D2u9vx1F1sVwGJ8NwvEgljwKII8RyxpQAiK08DIvih5SwAQYoVMFfm2cK7oYtAlT/RgCdgWmZAYzKkEjjvZFL9aYcVfQSApQeIIHDfPNoZWuJGFBT0G/zZjd1PEvHo/3wNOWwmB3Fv7OSmF/749dPgyYJxeKl97ka/sbGSIPau8Rxu5wftGC2rpv92XWzBqwmENFmmd1fZMPZn3PNvoJT7ujnOnCcmvI5EPkRUNC+p7EO/UlO0IFR2TFZykddDrfuhwYBHomLhGPhM3SPsbHrAr2ozrdi9WiNVoXZGwgYxv9knZ0WesNnaF80vdzvsehrKDpmIJXmbXlP5bmg8lEqPv1c5DRxP6CVkJn1vReL81CYqvVwIkVqSdcZ9LpNhKpaBPGZl4i6ohheibvAMphnXk+m/OQIMdU5Hd9D/WFVi3g+k7/aTFJFakr7tk69GLIn6fanYja2FBYox8Ph64ApzPXHiuhUE6d1LZgffzFcIpDzgErKYH4vOF1QqVNW0KWG5jaog02N7eojpyL3I0Ko7/R9Fh9EBDsJRDMj+iCMZNVWFBBBZPFBPtTBe1GdS2XhvKUBOeUiB6MWQjHAUwES8GO/av55uIsg8tkW30gyItXkiX2gR/6iD9fgp5tiyyoifL5gOC+8fQO0TeVSuDCX1FgYxov8cJENriJi+wrTfmi9eu91FXxmfFZu/qal3lMeEMYEkF42iaBiY65MJDQywYU0HOkceHMsH17qKjLLzYVYTFzS3v331PPgwIQ0RYSy+siUA34pjxIsBeUAfOaK37inAOfeJHSsiXgKkIzq/oY5cXlvzZOpYJOL8M1snV5nd5g2gFrekNCw7LAxo3lp+hWA+cirEb2YmdzdcgC87zSLGnUJFSxToQFdVgtiosCuSI5zOh4XJmvB0K94AGwsxFLe4/8Np++5tXkKgIA2PGeAw2/pLjjbifeJ/xJJBCXjGfiyC8pcqwi71pAuqOSXrZWVGyAHmNDANNwKkcrIiYzN9XQOYAnSguSeg3J4t4EdGV1WsCwiyodcD6OGAFrLjF9XUtChRhHJVqS8RR3ceQ9oGJ0xzWJQHfTaRVDVRa1injxf6Cry8DhjcDFED+nCOE6nFAOAVcphFPyw5LjRwBt0boTAh22WU8jGfsX6z49r/OyCUg2kziIIq1RtwMC9bPV6xr4LXECr1EyBwQT8H0ANBEzzRybTUymd1O7GixV+HzUIed/z2vf5AkF2u2oK/DDXk1At2PhOg8XSCPzxwZsZ+uDmQ9TKg7G19TFUhA3t8wyFoLK+whbDy3Vd4uFPbQFwnrbWAFZE8jW2+U88z2FXLIQBXkMUByQLxEHr5ZKBlu1XpUAQ4U/ZGqGD/mDnkD0GaVJuMjFlbuW7ctXTvi4VhQpoDjF+Tw7N4JxmdWKMZHVlOYWAbAUWi1J62N05PJ962TQS2tOt/4YBYE+M9rROMeCEwd2vhqdYw9eEsOqyKEml1CbjYfSdNEhQQIJipSLehUEYxPAjzSOQ9PVlW8TYT4eVBiECt4dTkAl5cB6y1hy9PHijwRcgEA428HlF8POH1R8OXP32GXMu4G8jWGwDVdDhHri4gPpz1OuEW4CCABcbaxE3vCj4aTXh/EF0W4FKvMexJmQdy8Qi7rtTiUvzxJzWaL02jJqBVfygLNGTKO0BTp4AfadEuEl5VjhoYBsNE0SAZ3348ssCjaYVUTf89H25Sxq8oWUw5f7k38IdJxSRbERwpbNDVB7Vyq9vIO7lrbaJM2vmUaWtAswFUwd81rIhzS7Z4zDZVQnQRyIhNFooZTBoq2ID7U2hLdOnJvOx2gzcMV62IBTWwjHyLKro+jkKzAGBt0rnMHN0m1oBVwyo6BC4MSBgxlTzuPMxjwFc7v9FmpVxz8TcIuxXqDnu948qA98HKxqLzrULp64d4o54iiwAXAUyyswm4qZSkVyEFRxoh8TigzN6MYcoN7XYxloIBYIuPXVgilpjLs5tm3jm6EjBGy6XBpLtCbSPteVo5yM7SBqkH5V0uCN8rIqNo0F2QcrPsVoDvat1yYLOtugu56J1ghwJiMNhBp6/uA+S50ekMSrLcWQFiBDPDgncFQLWiBcjVhFB9xJGuBnBeKZhkEu/FfzV5agcuEnTQ67Cwg74KNatFmrw3+W6xjZ+OIiESgOGEdA0KuDVpbbmwtTJRKd6nZrNNPqhcrDa0Ul4r4nK9g1DIXyGWGTCNq5F7VIVxxIvMhYrlnAXi98USKf4fFRLo2SZLrE1ADokBjaGJDDq/VyITEz522L0WQDwEl0t/sLtXGjImpdtI3F6mQvWIYMz67PyKK4ukyYV4TLgCKRTT5wN/l6JRMDuwYGgxcIE1kisUTGyPkz/A80xYvF6jPeTauXF8gtQA9QKeIfJOui5pVu5/LSnGp92zxyX5oRWcE+tB4YjIdVvOd3lkfI5aXYyuqaiSEtiFxkhV491RkLQcb6ZIUYSiEUl9Y1MOuIAwV825EHQPSUTA+m8CSzV0m6sqKPFZMvFIktmKHPkiDLXtXXBQou4h4oHimo4YO31WMH4vtBUFALxB7Eh1qp6bEmUWZ3pmPRt0iykoFuDxYB7Pwj48CowAT6QM+5zfvItZb+rV4sXMHoC8s4OcGbagmL/L62m7pVmWyJNFrJH79GRhO6BDsSJ89v+RnHL5VxJkUHSZFHenQEA0SUZeAdawo+wyJimlaEaIigIH/FDNupgW5BmpvVe904WqMkNoj93M3zgYxbwgkwXofoZIwfsxIp9V+T1F9/juAdATqnn60HirC7QrNI3ZvFMNJkU4B+RBRR+D4EyZe+YHGMrwnzDQf2IGvgzYffJXkRor/3XxTkCfBxz8LyJY4hgwseyC9viANBTc77pMj7PtzwPlpQpwKHu5OSLHguKvt8xwqvJ4HLArIMUEWU9e1JHd85JmwPBAFkh8qcLcCH0bc/uUIBODyWqGjYngUpCPHN80vmWgPT2LvQ6MoI5APtNXdGxaT8o3bkwK3K3JIWJ8SXB25npLxubmP8325KlKFOSCcBTlwdjhEse4ZSzpCY72r0JcrdAkYv0kY3wumD0Re5BuOsMsHoNxTBwQrRxbVA9WpoUTNQJRiYACGKUNEUU8JD/+ZdIf1jrSI/FrwZw9v8PW7e9z+Z54PH79U7G8WnN5NmN4GXIYBH1/vsJaAPCfoHAk/XgT5PuKr/SN+uf8O/4c//f9iEOD/+N3/Hv/27U+RQsVcIx6mM375i28BAD8+POJ+uOCvH1/jd093eP5wQL5MkMKkvCFbC/ft5bUl45uutT/zdMY//Aih3/va8rP8/1uV3Jx9BQOiHRWTXVWzcR6tOn11yFiw71BZj9DV+HVNKdIr61bZb7L7o6JOFUgkgddsWITcD5tttXQrhQ/gWkRBNtYKtCAEEnoXdbPpW9C7gYY6H5/Bi1dk7Qc/EdH5FELJQFaur9crtgENeumwG/DSWofje2NF2nUYjNCFKmKH6HAd0cS6+u/9wHsZfCh40uiHR1HEpVpgZBy7gT/gyoX+Jwb04e7SBU/WEhBDgAHQEERRRcltmUcsM52e8zuaY7F7pmiP2BzL/vwaVNGr/6VC5gzxWcwxgOoq/n7Vuitm15/wEiHsinkXSyNHqmyh+0icC4fUg9ur9wvCjhKkdYG2Y4JqYnW9DuZ0B4MoT4ZRjVTTpTS9fW64XtMfFJ2yainV0S048q9XaUEivM4Et21+jcUSRS1iMHl+/0r1V7qoQ+fibvYN0HhxPi5FgTbGIcDvqRddGjRbfuCmvBa2gcKpbLj6m6C/DrSTVi00kSgmj2g8QPdJbcTLZtv6zF5CmLnHW7NT0Lji7IwBAIP4ooKaCWsLobbbiIES/QvAgytYd9uuR4Oyk+zmd+1C7Iu4Wt/+9Y3dbbGAAKHJ1T7Lk2H7HZGtLXziHwOAGPkzNsf8an9Y4eGHLrONvjJIufvzOhByponFyzr1Dn8bYVK02aEo2pgqX/ctvxhDYifZOLFNJMz45hK9k+qooU+u1uzV7Vv78UVxEeAKZi9VOzLBIeAixqXtP9ftWbpvCtbJMAjq1e9G7tWr86NaoG+IC/VCmAX6rVtoVXExzoYuYp15tPO0XxgIxW9Kx57V9GfW7tVUyBv9xzp6nEcuppTJbm0OkTBOK+ykVBBSRUkmkmLrUTfc7LbXo1wJLXaeeYDG2p+9P7v4iQ/f3t4QgXFbqLQC1Ya2oUFQJ9pX2I/NXrfzhjvPGqQRxY1QmFzHAUA/L8vEBKIOVswZFDpWyI7rIlH7fQDAGlBz7340LqL6+mtD/nQ+pNFUWsFPzIehFVB9hq1U7TQOu0cATezNYyZV69I7kqVdhyX2ySlOn9iOJb7briuh4T24ZRfTCoLO77frVlgXEdLWlHzhTddP+hSNBnev2EC8hVxG3azf5vqubNp/z9EzW0TYpnDAD2Oc0VBOAYixYjdSYGeIBWMoSKEimW/HJ663xaAC1I29XL0qA34Jiuo6GclsuCr36+bHy8TOYzlUaFDoJfaO4Gh+s5p/GC2JM4iWJ6lejAGYiGsS5InxRk1uH8ByE9rYIcD4tBHQm4w0FKRUEEMlNzUZDWdkghYspgMAJOpQAPQZRBbYHjWuebtmi1kh7nMYC9Y1IGZ05Kf70ITevAmMteoIqkCXvhYe6+Z9X4OGCLDEi8g57lukCp2EYKYI+LivNq4LYLIGdn1rlT471uOMAMIQom5E4+yxR3uWAwx/rtCJRQ8MSmEmASSZSGmm5s96SchzQjg6UhYtLlgvCX/z+BnWS+pCbkvA5TLwmoZ+zbwBfxa8nhAqZ0KXHb4rewThs51iRlXB8zrhUgY8zZzK8zAOmELm3GnwWvNeW0EKQSGrNMrptkkBUajx730yy6dpze97/dFJrqbE6ngI5LFYwN7k/JcMOS/QaUT9/KGtFeEApVXa43kBhkRIF9BUDv1VpwG6E+PKpiZk5F1FPyjyjSW4DxnDYWkzry51RPoYEQx2UHY0Xj3z/eNC/mCDofkcQQnMQasiFF5TjQPHmKgFXtIr7+5ovXOkgcIzrqzGRJTZQih6LXYCNOVGbIKisgsoGlogxA1t77ejo1sPHCXTKpMrEE36PJRCSOPmwPAOHOERvTtYdsD80p0d74US8Ggjl5rsvR0cZRJgYjVfFO3ATKeC+Lw0DrWmgOVhhCZT9buQAxQvirgK9m9YKT5/Caz3FYiKp+MOy8RRQjUKsknQv3m8wfL1AfESsHvfobhMKBTDmV3GdS82qoljCDQRdtMO36KIxwWYF+DjM+rxCLm5AV7ef3+EUJIGKW6iR97ln6wVHyN5iwCLOaptFJDD79t4IKAnxduEAOgJbmIgkveEbq53tPfTzzODoVSRDCICUeQlocyBY6XE+YlAucCch1xnRCHQmQ1m9Pa1/j1pENJm4x7kCu057wSigmjBgwvzxAXs2IIQdinK0QjZ4PHWwXVnVncRFcavyxUY2NVT6VAyDeiwsSEQilQU8E6GddOkUPSHXWWxQMC7Jjzk14Mf7to6ABQ2AkYIdFXUs0MP0Tl4XhTYBj7CoD48soLrnHmHI4ZM+gJhe5TKLzsxfmfEJY0IoWIwONeL/QWHYcHb0w0+rs5bgM1a5MEcigdGdt/fK5Z1nu42WUUMRBP4nNqNtLpeLoTUD4kIGh8XtEUuiPFXHR7n8GSfMBcDIe9AS0JcXEpKobq0J8YbeH7ZEU2SJx5keS84fVVRdwodDJJVxWBarI5LppKkjxsYnmtPfIeAWiK72WOC3u0s+K4tAZBcoWPoo6p87E5VzmDdJs2bwLpukDY+GgZVUSe2YOIlt9ExTIKsuxzZ3YPAxK7Ix6/iXSFpkNJq/Hbnoero6zZBJofX2mO1hKruCFNeD4Hn4ijIN7Tzlkx712w10S0fS2Nd2e1MXcDseq0Ic4YsGXU3YH0xNV8AEFWVjkQElSkgFEW6CIr9rQmQGlDWAXVK+CDs6E5DxsFGaF1EsQqRX0QUBUCS+e5KGwHRLQ4Z596srbMczHcCAIaRhcdSoct12V9Usd5PyIfIbvmZiLF4Mu75SB7u8jBieaBYUngxdOpNrgjPGfHjGbobOFZoCFgeKAw4HCvSqTQbAXrQ6knj8gK4/GRl0GrCMDd3Mw7TgvMy4Hx2DRPa/fhdIqTSCjw++gaqSOeCdFyxvJyw3rILPz5y3JKvXfPfqRez54eEGol4SjMRP+vekkxVoAjWW8F6E1tiVysY71UYjLcjpTSwAywKdokXUrSIHpOGaPGkxO03ZOtIV0+oI+LF6F2eAGDD17YzZrkXXD63BbYEY/7ZgpsXZ5wfd5D3A+JZsP/WOPsjUAJ1EdLZxjgaSqNPZUCDgu/ecm/Htfv+VnhdbF9Zotc53BX7w4z9uOIXD++wiyv2ccVgjiTXgGkYgIHKv55UhWKqsaknbr2A0E0hrLUVMrwzjxqpkXLJ2I4Qmn9UMHx1xsPNBR++u8Xu18wOLq/RE3xl59I7uFAmiunIsUPrHbDuFeko2H9LzvSHB0W8W5GLQGrEegecfuy/ziRs+vkz/vzzNziuY0t0RBRRFMP9jDxWpN2K28OMXANOxx20AuP9jPSq4PTdDXZfJ9RBsVonL85CYTkhRUuqIQAt5k2VfiafB4ptGbKzToo6VswvgeXeixRCWOxr8lDjmQUkNmOYaC+fcS3Th0g/NijH4hwyls/smh4WTNNKCHoJqOeE+G7oRSAYDeHWnv/jCFkFu+8InSYVxxCcVSBRkV+vyDlASgIgmF8B81crZKhIY0GIFS9fn3A3zfjN+wec3xwgu4KHl+QdfXh3A5wjpu8Sdm/MTkx1PB9oY+OvR3zzq68wCXD6kufM8C4B77nm86sCuclIodroJ3u+NxnlXrEbC35zeoFvzvf4Nx9+hiAs4Hy2O+K7yy1+93SH43nC8h2rTk9f7HB3uGBeE5Y1IQ0F+ScXNgXOhEBL5qgk7nlFBSH7GCvmV0ST8NlU1MsPIC5/4PUP18kNgCJAaiUEyKvh1QLOYIc7wENEwcSrmEhILr0KbvBRSvbLJ5+F1onplWr+7UrKOiriLmO3WzuqwqTFnavRqsO6/WNln5ZgoiU0ArQOQuuy2Xt/muB60luTJaWtOCaoUSEeW37aZqlo3cIufqPfCzr4oehrEXqSSpVocNi0ByGeQF2tpVdkrIPr3KDESqcO/WOCc5S8Eut8jU3w5+tF5Un/Pnl4rRto9qBWJYzqB6QavBqIXnqLAESbUEGuAVFCW7OSKebic3el9Apc41YKr7vlqtoPS7+WxjUsFVoLdM1w1WFsujJdJOn3lFi9c5UifJwHZ5RuFsr4d6gUMPNuawv4/TL9MVkXtj0nK+SUnSLcrJj2PgqlH2paA0pSO/DZGf6U1/rpPV0hMTafz66vNHu86mJFs2frvHn3pnOacIU88M61ZlabWydm0xGtJogWDeLe38dUNjf3wq4WP4zjQ7R3NjcVQA9KvPPsXZSmvO7dIwN6BLATWw3yv0VmAD3Y8ELdtjjhyaaKIICBZbULod3z5+LC5+5jhbSym4vU7TuGil3MHEVhj6YJ5jX/5Q7Mrsf4yH/na8sbb2+8+X6xgoxf7GYerm64ugrQZ3s3OHQb0hC4B5y3vO1Gba9vY2/NZza+uaFJ9grdFcjAOYM1C4U1sgXiQdu5AKBRJJrf23TxHSlBTrS2udlu2+1+AbTRU3x8zZ67HfVlC8a3FDsTfLrAD425QgULqJ505E+6p77HpH+W8+Mb5DUIMEQm4sajF4d+t3WUVmDh2Xi97n72aQSpqr/HRbQOnRUEZM6QgRSE7dnitBmN1rlWaXB5Vz0lV0tQA1BKgOSIachNjTamijVos/N2pvnvq/v4fm9aze7Fi7Lm28W7p4amCeEK+UAdCsYOFGyyc8iguxRFo62zi2XPuKpRYKxbWQqgqRVxvWDsfrEXQzf+0P3SoIiHjGB7HEKBxZtxQS4Bs1DcT6OCCBCxgrnZXfHnQ7v3TnWN0rq3UpTrs93kRVjYtMCXYlj2rVE6P847ud4py9pE+KpKO7e1mh8HWgwh2uOCdgZYvLKFcTafJkCw5P0KxWTQ4r4/zWeYX+cIPStwrIxdhsOCz++e8bscMJ8iwuLY3038YuvXu/d9b/BRqCXe/Vr9Hjx2bCjDsmnKCn1SChVjLLhJC/ZxRbK2r/Nzg2z34w/Eo7L5DGzWaWO/rUspaMgK8UKi/9hUsNtX3O1mfJBbdmIFpBFI71RrAM9TRed6on+2dxTjDOPnC4IoivvFpKg7W0tLUm73M35x8xZfX+5bkhvthna7FUtQTGPGflxxXgb69hKQDgsO04qTaUoEQz2pALLyOddRrWitNmPVlrLCFMjFkBW8NjVurI7k5soaEM3v6ciGSlVp6+z3FG4MBv60sSE1VNrAAkxKBTH6Oa0oIdK2TICvjUtLtRVpO/ccHeUpaH5MBhcGZFGhTlSWlqCQUBGC4mG64PP9M9483+CM62MWNropzhTYKruOivJnmc6Eyec9sLzgvcWLc+DJoY5pY6uVdiFTRRjZlc81YNWI48rq049uHjEldnLndcC6JIQzbWm5JJwip0bkHAnf362oVTBn3wDondxPQm1N7J7ryKT3U2TO73v98UkubIN51ydadmTOqMZdC6wolhFaRbru6G3iOSIkJgBlT5XlLUfX+UD+/3Hl+5URBmkDlpe2AJ8tGKaMX7x+h5/fvscxj3hcd/h2uMV3L0bUU8DwzKHEw1ExPvP9vFMVFlOgnGsbleDJeeMOFkU69ipCHQLWmz7TTcU6XHt84pgAUdk4JDRBhe18xzZEfqkWSKsdtm6k0gKuvLOAXHk/bexCRpv/5oI7fe7g5vA1B+9cXDW1YqlA3tE51EB+RFyskmaFAp/fiWz8rlOx4fSV/EsB8v3ODuHa4KhtDIXdy3pLa04XRVyBdArkHyuTkFUinucJS4qcOxcq7m7PeP5pxfI8QspozxMIi4lkmAqoq++VyYJ0u994rkinhXzk3QgZE2QcEO/v+KyWFVLn9ugkxQ7D9E5hEMIfRaCTicgk/pGiVAEu9rvW+ZLV+K9bqD56COICTxx7YEJJE21pvRUsLxX5UPFwf8bD/kKxBqk45wHndYAIcNxx5Fa8mKrrwgpxXNE7zwJ29JyHGD2YtgC/AjpFlMSExWE8eefKxN7R4nOEWkC6TXbpCOCoBShQU4Krk7oImxeG6hgM/SAIkXxIjiXqe8eLMc6jclh+C7Q2UGjnOqqhKmr0IoEnUjwoy0iHHmxERw/KCA+XGgCtiJnvH9fa9qqKGGexohfEnL8JYIpUVtx06wlbVqQTfz6Dz7kKD68onJ17zgNiqNjvVpxqYEKefe9bEjBK6ywwGdAOkwWIopgiIdhrod3VyuAc4N+1q4jL7R0RCDFA4wjsJzQ0AtBFpVKkYGCU1rUNl4X6DCEwkI4m6FMBiZEF0DYqh7oADNA6TJn+FFjuyFPUQ8awXxGCcqZwCigloMwRwYfaG0yWYnbsYkXlftsmYn3UESOZOsSrxKgl3VGQD+RW5hty4aE269GSry0cvwlftT0sKLvY+OS+wR0JEGYTXZrI12RgZp3KaWPzwvNhvRuo2r9WCgk6vULRztZq+7TzlbWJPzm6SUykhxxiP6sYSbcCbRTOvW9rAk4JsCJnBIAKDB9n+qibgcmfj2xyQcTKsWUalOPyRKjEOzFpS7Ei2fisJSdclgHzeQBWm1k58Hx3dXiNvXPYkrcMDKeMcM6tQy9FqQg+9NBGLgth+GHztVwxPC6m/h+wPgzsHD5REb/cDMi3A+ogbaxLGQGosNOgwPIwIh5ecB1GLvzYkByCfBNtsgIpO/mWtuQTBjgPu2C/W/EnL9/jkBY8rxPmknC/mzENGaUGXNaEdU1YLjdQCS04rj4abq5Y7xLW24Q6bezS0AbrXWqQ5LhUdmtNf8PFsNY7odDLxKAXigY/T2c0KlEdO61LikASAHAckgfqziddbwPyIWC5DVhvTEtgM3cWSrRG2dEn6hFtjEpYFWUfTGuFo9lC4ehCqcA6bCY1rIxPlhcVOlQMAD6c9ig5Mk4ZtEHO3U8OJ8XufeG4ljsaf0MGFN8riuFIH+Lj5hwe7aOeRIlqUxEsD4DayLZ5TRBRvJ8POKe1cXIvJZGGkiPCx4Q489rXO65nWLtv3xa/l0xUQ8hEvkEV6WiJsyHn4nlF+HhEKBdsX5fziLdVgJlvFmdgek8bubwWrHeME4e37OrXHZO+848qLpXnJLP4gNOPaC/xOSDnPYYzR38hCPRImO36sgBTwRgLzmXE18d7fPfNA+Iu47/+ye/w+e4ZU8hIoeDdcsCbyy0A4INK64aL0a/IqSaMNVRyZIeT4viVYHmdkRVYXrFgPL4PCAuwPijyDRNKhxrjNiOOBeWSgCUw6RTGEulmxTityDcRWgXreYA880xzVfjxWTC9A6REzHlHiPJN4fid04j5OAJLYPI8CwW/lN1mFUD3BYeX5/ae65Jwlh0FlAITW73JePXqGfM64Pj1DcKFiK/z54pyx9hAANRq3TYAQyh42F9wfDFiPY04/uVL2u4tqQ+X1xXrHe+zHAokC3bfcDzPesv3dhVozwVa0UO59vu04rwOSG8GpLNg/kXBy/sTPjsc8cu7t0hSsI8rIioKAqoKfhfusfoYo9vK91oijnmH8H7A9C5geVkx/NlHxFCxnEY21BY09MD8qrJomkPjH4fMxoEGfu0Pef3xSa53aKKYOqbB1MzRthEHheINCJY0ueCSLabkijpQeARBAFMSdGiQH+h+uAWT8VYbS5NvKnRXcXM743Y347+6/w7/+Oa3+Ha9x6/PL5FrwJvDPQqA4TkYnJdOk8E3K/GeoHkgUce0gZHRkQ9HHqxeERfpjslfFFKQq2pcj4KoIObVXd5bDyo8AY1nS1qFia7EQB5GQJPtL6bKGC+m5mwJReOzKBhAbooEn/KpAB5MdbLryf1aqa6sdmnSq1mCTfmSz2l4zgy+DKJY9gPKPppgCHgj1biKAsDUkPPUK+QQEwBagbqyw1VDwJydr8Hiwv1uxu204E26wfpmsANCeSBv5kB6N8473g3qBVDAxcS4akwIA4kPYV4hTyegbOAQPtbGOE3brzeFVPsZjexaxFXoTFW8dd9FrRr2Q3tw7Z2a2FWVW4I2GITzUKE3dGyvdkfsIg+LD8sBVQWlCk5jZdKnnvjgqujR0ArSr6FVz2yvQhVVUhPn8uqtw9ycH+Iq4O4cPZCRymo/fQFaoK8jLWk4VchFW/LnXZVeKLKE1yurJrDkXZJQWP4MUCuouZPevKfZqFcvrzpbcZOcWNVSc38WV/vCCj9cBzQRLPXxK4XjSzRYscO+Rmez2SSbvQJllbV1LK16LqIIxltaaoQAmIaMOSVWzb3KHAi1qom/U5SjJpIp4iLACk1W3KkbeysVuulUatkkudPQCzdWeGwCcm6r/j3r2LY53hcrZikDPQmBHNGB16M1os1ctq49VUzDVdff54WWCUhTwWTiGQK0ZLfmYFBD6Ydz88HSOzBm58332f6CoIk1NV4n0NATXmBhUkK/54Xjzq+U1jVunFsrwFDJWNs1UJCnAIVFQCmKckjIB46Zi2cryiQvrPCenLsZYiDUv9if7fOEoM8W7nvOOYPO23e+E6pcF8ll87cnKpttoFFQA+HMdTQ6wXFmEWOMEDEb8ecA8wML7S/O9BU+CgsBCJFBW1VBLgElB+gSCCH0ID8J1UnBr7VujfF/xUS9gonuNDH3IUFS5yxzlFIEyuaua0U4rQhLwfpiR8Vj8DmKwc7zwWbiZm2BVe+wA2UfkR3Ga8WlZGrQy4sB60GQlBB6IDTdjDYFAUCK7N7+4/uv8Sod8e+ef4xvz3cYhoLDQB+6ThGXnPDbww5l8ZnwlmzMHIWz3kSKC25EFh1hlvdMEsejJYQ297aaOJUKC39lZLBbDowb4qV3gxxF413fPj6JQXuD2G5sgDQWZXH2nnt1eLqmAHiTQgPPfbUivRRFGUjT2cZWjYcvocN8s51FhwIxVeN5TV3LwJA7Hg9IZSKdjgUaYutcF1NNjm4zBYg2OUJjRNN9sXvVCHZxTSyrj60jUmEtEec8oPo5BTRtkVwD0pnJUD5o83fVFZ/dRoyjHnbAWimAF5ZCJNxcN0gOQC4Zer5A1/Nm8wpKDpgxUDDQihe7D3zGl884WiieBenEIsY6EJaLhxUyFugSoQubDut9aKg7FtBdY8I+awLWLyrGw4ohFsw14nkeER4TShG8nE740/0b/HR8i8/SM/5/55/hfyg/x2m9nhsWrKPpnFAWuATjk2J6rDh9ESEm7hVjRckB+bJDUt6P3hTGlwtnTQ+7FcNQcM4BukqPuQK7ibe7uSHi3uIW2TmsANTG/o1PJkoWAuHdt5n2dY6QTGEpbwIFE1iDxdRhKrg/XDjaSxSXnPBmDcgX/i4KEHYFrw8nvL/scb7cIZ2sQLmrwNj1OrRKm1yRpOIwLLg9zHh/GnHza/rpp18I8gTUu4L6glSIMFSUc0T61YjpA/dlvq125vHMdoVzCCBKBKuPeBqeCV+fAbzYn/F6d8SX4yMOccZXwwdEVHydH/AxH9jld387WpK7BqAC07uAm9/wwE6mNg7TKQorxWjXWwFuM+/5MbHxls33OAoufz+P+aHXH53kyrJCOBiWXS7jZTn9vUzW2coVUklwzvtwVQmnuhvnx3hS6BW1bTLQRhRtfo6Hq9gBrRhTxhgL3iw3+Et8hcc84cNywIfLHnqOiOfQE59EOX86VYP6LuQTsTPHzwpZOTvQg5wkWF5MtvFqU8YEgPXQZcCrU2o84fIEA3a9FeRMetIosE6odWn2Edsubxk3VX4uMnnFHhDZ0/S5s3ERS8B5mMmqSKcMHQKWMfCQs4Q7LkA60dHOL7W9V7hsOUDc7OTR8lrjoqbUaQ5AAq3KgoX0TMXllrivFViBvE+oA99jPFbUCCx3oXWH0zOrehkJdV+Be0I4RxNweFwmPJ13WOYBGAjHWO+YMKSTP186XQiaujDn82rrWKhFrlI4z1BOFwbh+2k7ccIWI0CnxK6LFCa+08ARP/vhyg4AdmoIu3cBNYPhG4R/y5z3MSIOFSXcCx0absIIYRWUNSDXgKwRlwIkDeS9XCbMCxXwZCW/JBS3qQ2McxPrKb0YHLbNr5kwgNLufUavbjpFLWmU/u860bYJITfxBIPlpBlo8EjpAX2b2SnebZV2yLcxMepQtl6gYRKrV7BO2pivoT0y6/xsO8Ih248k2zvZ9kfpe9Vfbd2bP7L9ZGsjoK072qPBXO094lptbzI7bUl8QNtXIYPzEgVYFgZnuUSkWFCrPes1EZ7vMG5P0mFJ2WB+ENbxWozvb4FuCELuuSq7t+uCJn60JZ97IUe4/8Q5owdz7C4SZfNJedP+bEMfZ5ErEQCldx8JA439mW1m4fIeNqJ3iR0/h0qVQig3/8DgWL2I4398PikMOt6uZ0sBMRqMzE7u1nZP6yG1wpIH9Q6x3IoHNftQ697X2vwM4Dw/D9jNrmqAJDAxVGXX1rvwptjcPsOSoO0xTvE233BWcHDYeQULAW20j7QCcjwLaglm29Jgru3ZmQ1VmyMtNVlyunVQdi9+HEfSMoIXoP2azFcRIRHa/XhhRyoLnTnH/ixVkNdoUD6ihbzj17pvdkaWQSCJBR6pNr/YbFSDFTzmlTa3gbPJMEA2IioaI6kjkUiM8dEmGNyOAEYWOaIFVNrPEhVgLYK4gSWHVVm0K9LOPSmKccMPJzRUOVnORs+EAlweJ9Qq+PYVEUS5RiSHAdaIOSd8OO2xLBHhSLXb9gysMAjzjV7YaWJTlVFYnHsRc7kLHf0hbjfX9uA+t4583zoK6toLhD4K0AVj2hxl+wwfPdRm2dp8a41EI9E/oSHOxkcrTDdV5F5QdK51XNChzFaw97nAbczIKlCNyAJorahrgKtLKwElhKhq77SXKTSIazqzSOF7TaNgvU1tTePM5DpkIK/XcR11F4TdN3C8YSkB34ZbDKng1f6EQ1qQa7JZuQaDH7t/YFFLerHOC5rNr/D8CyX0M10F4ZzJl68VcnOA1Ai8tcc5B8gbckBDAM5fVuseMw4uezsfByDf2lpfBDoL6jKgxtTCVVmldfmoBq4oMxtGHptoUsgpYikT3ow3SKHi6XmP4VGw1ojfne5xExesGvGu3OJUR7yejjjlkeJJmeOCAAALYxjaEhd6finIB5ve8GEEWLNt9ldtPI6YUKMO7Eo3xl6qqBOT+GxjzI7v9jjKHnFXkAbih9PrC+HLRaCgQNz8wmzZPg+F55HMFJCKM2dZ10lx/rICNisYCtSnAV9fXkGmgv3NzPNs5cNV01bRIvir33wBXQOS03GyIJwD6lAx7cjTzY88iz/OO7wdDphLQgyKMBbMD0BcrTD1PhLuvOOaVBo2lnsYsoTFfcmCeCTEOp65X+aBOhiqQiXk0w6SgLzjxpxzwnfnW5zygBQqdnFFFEWSiiAVa40YhsLnNGXau53hl8yi0XqrWJ4OCIHiwHqzQmOyhgygM+Pp4PB53w8NWYA/6PXHd3LnBSILkCMPDoPwiVVislcYjcTk4gMA4akhq0EggbgCwzMPmzBT2r4avM1HG7RjyxzzlgcIq4ru04pvTnf47fNDmzv54XmP9BQp1mCBYh0E6x48LLMitCHlFM+oY0BYKobHlcHSkiFFcfnxLS6vBx5ux9oq3yoG+3ngJarY5vsEolMHmKR+/56r0qUTMfQSBGvcVEZVr5IMd4o+O61zgOhwJQNhDe37ADu88XHm6IqXhBq6Imz0JEQIX9GpYvjAQ5WJoUEJTmqjHbQNVA/LBgYoYsGNYPy4IH28oO4Syi0z/nDmOIwyBGBncK5LQT5EPH9l0KULMH6EVQkFaxbol4IUKqaYsYsZ3z7f4vhhTxjmxGrtDP4Ohbt6F4SCPVyD4ZnBUTVBJcl9feXjM8qbt4ivXqL+6LPWieTNKdVZpwEaK8VshohyM3LEyU1CtY5PExhxLlOxhHET9PrsSxce26pyhrXSQRuf0JVK4yIIC0Vpsic/CKhZ8HjZ4XSaUJYIOYfOV3YF6+yBjnSYoyUmHDnFbiTt1vZwrgj2rMo+tGDfx2fUAda9pc1lE3KKFzTVQKDvN8Lz7ZCcBFLoWJPBr9x+IUIqp3MtlQFryCbcZAWhzpEEEyYVE6DqATnnV1phzTrOvbNkAalVBFkp3GQXYnvGR8V4khutWjtn6/okFjSyIpoYQqMkzAVhph+j6meAHqQluWHlWoVZUDVgvSSUFLEGX1jeVzlHjDN/1rlGwYLaFuwCbQ7kECoTMACwdU2RxQtd1zZaRVLCVTUnEpavKbA4sxba+e3YRkWJKtab1ARm3L7LnpXadC6Ip5Vru2QLws1H+ExYG2PmM7uvEAKjFSAS4Ea0rhG1RCZywZAKJqrmNp5mbSNGvHjC9V8pJLRLLflFsdFC1u1GsCT3Lvak1gqhVCeWVrS8SgiE3TipFhQfaJPprJZwu7I7oIHJrfuFMob23o1r7of3ptDSXJCLVwUmgw1BteH/hqLACshu4/OOgjozMYSg8Vu3fL8aAUkCGQOyQfDj2W3ZEFd1UwhzxNZcICjsiidSYrzrR4oIP4M+yPxFEZSZgnB1oeAILNmVLOY/AIegt/XwYF988WHnz9CKJpIVabHKb/HCikB203VRcYr9mteC8bsVOgSsLybGKPvQzlupavQjadeTJ/qwOgHxDIRCikod2L1Mp4r4uJKnO7JwlC6KamcAqVGC+G7Asgb87vN7FBVkDUhSMWvCaR1wnEcc3+0hc8T0MXAkjHfFY+cse1LbQCMeiFeLUQJweRmx3EvzmY3L60awDSIFpu1AOGpY0CYuQIEw2t/WXUknRXy2524UqjqhUak8GS035oPP/N3xkbFEuwQvSJr/jLNaAuOoFLSZ73Gmf2zCgXOAZiY3eRCDj4ohK8gH92S5TMDlRbT9QNscP2akc0HZ2SizyWDWBZg+FMSliyamSbAuoZ1lGmjj8SxADahIKLPi4xoQhopdyrgdZnIVS2LQb3Pt49xn23scWD+JzIvZGycOWkfXkHvpQpiyTiPKww3KRkgwngMOjwHTR8XTL4D4F8/Ia8Tz3Y5Jqz3+OlWUQRHmgOmt0Xa8UbUzYaQKi50U5b4gHjLKHFFsneMxQACk5wAcA57TAb9TQf4w4vCesdw3T3dIoeLDusc+rrhPZ3w1fcDjugOKIMwB5ZRwzgHhHAwmDwRQz+byuT3rBdh9xwR7eOZemF8Zxc6SXAkKMQFVH88XY0WYFGko2I0rnk8T5K9vEM+C+VXFfJMwvbzgl5+/wWkd8es3L4CVHU+NvAfXgUEObY3jxeLkFbgcgJufPyKI4vHtDeQSMb6PGD8KlvuE05e2KZYAUUG8z7i/O+Hdd/fY/yceMtnm7IYVkFmw3ApudzMnipw5ovLjcY8xFhQVdkSnjPnzingRjO8F8R2FStdbE+M1hz+/qljvgbJnhxhrxPjIszSd7NLuBTIV1Cx4/+4WukQMQ6e1XHLCx/MOy/oStVoRVRSfvXjGw3TBeR2wnxbEoJhS5lQUi0c+7ve4fDbSbt5OKFExvT5jOmRc0s5okSzQbJsPzhtngZ9UmD/k9Q8iPKUxNMGdK3EMYSfX1fp877XcQaR1UL8n4y78vr80yCZA6sG6d0LCRVBCxNNlIp9tGVBq4AOoguU8IBUesMHhFrk70LiYCJI5fZ8zSRgc+VuhKKszdrj6wrs4SBMiMNhKw9o7NNnuSwNXfgtXdolyyYIw+n1ZAmtdBSlogXbrxm2DFavch6Unwf1n7B/GtwqrGYl9r3UUKgnpNfeN67y3rWR+u2/oFZ+4rZ0lGleqwUUbnLkr1tr1FcKVQxF2oTITF3/Gy5JwDCPOK6tWx9NEbkVFg+EF6+YAaJyWVm21pKUFv1vIsaMEUkTY74AYIaVcdQLaDGgBu2MDOwFlIhc77wMT6iv7tr8KWHHNhPK6uJHzNhViHd7Nc7L/b9drnStPih5PO1SVNmrmvAwoBiuKVl3lz/Z1Ee2dGOdJb8XIGoy9QXm4t9szlM6J3QaeDqF1W2PStfmcAGTn27S30jahKO/4Jj8U4Hfbllbd9iS2cYyl217j8VvX2tc1FFb+W7ANC6Rt3I8qvyf2fR5Yxm1fexe3K3A69FuvPnP7anBJ3fiU2IWP6srrDiamAQDlElGSjYIJG3+YQ9vrWyiqV/q3688Cj7QxHy2QDYG2nRI0RkiM5C5u7dzvT4SaPSFCx8QiTOoBcj5QwRdwX2OIDgviw+o8dEJZsXKd2jiO6l1Hc2aV610siIg2B3E9D6g1oK6BglNiRnGhMmVcWMFvfvGT19U+3wqtiXRVcd933gFTtEKZd/6rtxK9wOJrLugw+Oi+GtAFppzqqBixWejyPX/tSaY/NxbGfC27j/TPwmzQa84NIi9de1IDtWJZZtZQZwYwfp0dFQJTtrffNfth1x3ND7RuvPHOYSKOV+urfg3aBIpCssDSYMleLAUEdYqowY0X1uGFKT736+mCX7hae1tRFnfHH2ixuy2bqGDjortdFKVvG0I7u9XoUmUUE7U0vwwbW2GFAy9y/eBL6M99fI4mNL7qlmvd7sGS/o/zDilUrCWiQvC8jDjNI7taS4DMdhYvaDFEyGj7DUDr3HeqkRXEUqeUEFqq7VqdX9465nae+meIwgRfxO7FzqKLxS2DrzVvqA7S4MekTn36DCmQ5nbNzm8/g6QC0RXZN2cVFBAoVcg3Bc5ms5XnYiuQZiEqz+C06dxhpN41JvoMJsyFDhHenCeefPq1UABJ6T8351m7DosxxUeKreQovjsesJSIJXN81uU88mftBq8nc1hhTdDFxT5BGTUqTqDd6jiYZgiuijluF/48SuH1+F6iz+j/hjLBcniwF7Hj/Ml7+oKs7F4DQB27XWkAJFLkCVGxHjgLdQIwl4QPyx7PMuF92OM34QXeXm4QDpn0BFFek2KzJtrv1wQnPX7O+277pEqZ3xJPcIGc4/WjsuYXLC5pz1iZL6xWITwcZqxDwWVl9zFcgOQUrcX2SSSSsE4EMJW98vnafahoGwGkyZ5Po6hx9OJlsX3ulIyNbfmzWx3NNLHIm1Ih/NliwHlacNnvoBKRnoSgLG+kidgM3Wv7EZ957HGF/YkLUE6pn7cGYUagTR8vI0SAYcgoJWC2a1tyxCUOWArtPFdFseeRIq9TRBFiQQFnBLeCVrDGT1aEWZCOoSe0dp3q1yN9ff6+1x8/QmgaobuJfNwptY4Cq5oBl5eC+QWx5esdL376IA3SpALs3gKHN7Unlc7/GEJLIHUQrLvUeC0+15KVHAW+Ccj7gCe5w9NYgQtJ4O5MUybnQDIwPGmH3ZrTmz6s5NqZs48zO4wwERHyImILznbvVpQxkKxuewXKzmo6GbTJNbcqTGWU710HWBUPvZPo6xm9It1ht+fPydvYvSP5HegHULRqnsOM4gWYnko7QFgNcj6aoBwGQITjfS61HbY+EiOsisNvLGm34e4eWLeALAnyDhZEK9JRrw7KeCnw+bNwQSMrGoQTxWnSEHtSrIp4qbj/1dpgc+RRRiwPtJXl44TlOEKOsYmmRAuOmMhxyHdYAITrUUcAUHabaquL1XgQt2RCkA87YDdBa0V4viBshKd0vjBICibyYnDN+WWyUQzSRtM4py6d+7qJAumoGI9WabSkuWpgxXGtrSPuiSdhl0A0kYs4kzsjRTD/+hbn8QDsC8JQUS8RckyIi2D8IIgrMH1QpBOLB23Mie1NKZUQfAA+yqWOTnxyW+ycYACdu2UcS4erOY+IfD/+u0Zth4Y9ZECtS+PQJgvYrvhWFQyS102AD0uEYdzGlUUpct16YhFnED7pYloiqEIRpXiuVlShp3buiUagLOw8RC8KLMD0WDlK6LHQnluC5vxUtIQwLAW60Q3wwp/DmhvPqCiwVAxHsYKfVcxV4Hzn7CMMXA3SOYxL7zJ78QJAF7HxQ94+kt0FVvyHI59FHSMCRsiy4/NPERgHSE2A+ZXWqTNBqTqy4+UQseXWhNAONpqmBUdC9MWsmKLZWI0IxTrcx4URAPiMoIowuy8TcDbyhLAGpJlcr7IToI7sWmMT7CqT4PED2tiRhqCINOCgldA6g/SqJzKelAZBPnBcTTp38aLp/YoyRVxeRdTEEWdyQetKarA194CLl0h/mPqaULyPxUOxcUDFEEzDkZBqsSSAtBm52ipxBoZjaffVkDwCpKoQG7mHfWi+VQWcVR4U6eLKvDwT1FAtrVAk9Ec33xI5VXbBIJccR8P7YmElPc2to6+u6oxqBV3+LQBCrVRHrVxjp7CUHZNGFUasdQDyOaEmZbdvUIP7AWG2bptpR1TTQPDn9yn1p0wc2xMWXndTBvcENxdgzdB5htY+RkjmFfoqYLkbrPjI0UvnVxE+N9vtkoJmwOUzCjF6QWl6FzC99y61tuftvjFcMuouYrlnx899WRsPAyZRehF89+4eH8YDkQqiWJeE9ZKAOSI9RsQFGJ5oO3kVyM66p+eKsFaUfWziUmHlc8/7aPYqLSnefahW4CAM+fnHsSXv9GWCMbNrRo0OBvBlIjxVJ4XMgmhQwvWGfNIG2w2KOhE1tPuWned8AIolIp64xZm+oiZBfoGGCCFiqRciXSyzxYtGY3EhQQTbawqE2a8hts8RU0genrewYBbk0oUd+qUJ3gWUA2NMTX4tFV6UU0EX1vSO9aaIz+KoFU1XAbIAVrw8v7/Dpd51+yvSrzfS30sRhEh/sjzwbElHJulx4f15Y6ZRYGogysZnzFfvpritKXmyNwKIYnkaAUPBtAZBtYStCspeUX56gQRgeRwQ5oDxQ8D0jkiW9QaWUAq0AvEpYnobsN4p1i844mbYcQyec1zT3YrzLwAZ6P+f5gnfLLdY14T5NABPA/Qm4y/+5GvsYsZffv0llo8TjxWbZ9sUv23/kTdtHfkv6YOmtwHjSVAOTCwhoHaPCspxYKI2VkKDjSqR1wjPzb1TWHLE1493uN3N+F//6G+RQsFf3v8IH847PD/uUR4HyCIYPrLTuHxWIPuMcb/i7jDjw+MB+PWeVKibSmj0i4L8gvukKVd77P004PQ0ID3FdkaFVaBV2/xsADieJ44X/PIJIVTc72bs04pDWvAwXPAw7tnguwxY5xuegwUYH8XGFPFsYNMFgEGcS4rt3PE9OL0VpGOys21TFIuAPCeclhuMry74r758h3Me8Jt3Dyg5Yl5ZlL4sVFauRQjLFmA4LBjHAlUgpYq1CoZHCg2qCsZUcM7Szj0goOyB048VdW/xVxU+/KhUq/4DXv8wI4Sc32gJKQCbSylNkr7sgHowov8zuaJuuNtZcjQ0e89t8iedw9U+WllhCAvhL1AgHgnfDOfQ1AG9WipW+fSZbC4h3yC3zvmzg9VhRa3Cp2jQMMkKsWrbFtXauAFeddtW3jx5SDwwGJTKlY6RVE62aLh047RUU5J2+JcKrjpj/CLXxLt2/QPRujltqPZm3EnrcCrfM531k/fs99EScg+s/fM3n7f9+S7J78/LKuu1IpR61e0KxgHL+4TqXVhLdGQJ0KKIp9ASWe9K+CxYdrpBNdtkzyt0u/I/bXzMEJiXL6X9nAQl5HXN1x2upkps3awUbHSV/THVzGojfhpJvvT1iLM5idrtYcuH8s6qejBfyCVpXZ0i7fCPZ4GsEQVAzQGyhMZla8na6pXojlDwYkzjBwNA4X79FD3hIjzXiAq0YOXKtjevGpWHU0v6/DmQQ6RNqMIPLnfstn+UDt6v7dPuDeDJsD2fFNu+uBJY2lw3x5lYN9f4gSGxo64BkITW/W4dXBe928wddITC1SgcdR4kcLWZ4c/ek+IOPVff49E7CxQD8tmLNs9oU6jq3PjWUbbC1hbWXaENGeL8y9adSIEjpWJgNrwZD3R90ebDI+GcnKmNxpktNsfW+e7V4LrVuztJmhhVReA4JYOytjXyogHsXqpBZBf6W3YO1FAluul8dU5fXLSJnmzht1cvs9ft82g/tlGpVxdIzGojXeLV7/zQS8UDVJC3mNC5dP7/8DXimolS4AaQFrACG1/qa2JCNs1+rj7YEjhVinx96mM3Uwiq1RmZ2HsEZX85SiHXph7rtt3GIal13HOFq2hfvSxpaGJjYnumcag6GsTh2wCfnxSBz6QJKxNchzRfdeVZlyJ1vJs6l8th1sXO5o09Oyydgb9er6OdPRqBChaEHD7uyvEuNKTWhamTJbnG7aUwnnT/1PjSbl9+XqCvrduTBZRSmGjkc0QtgpDY7cgzE1wxHr6fJ+yOMokKK9qM2is+93bdtrGJx0INRcH3a/5bbW23e0lYhKBNKzRVoHqRcFOw97cInee35Ze3M8O/5L7M9gpsLTrVpG9UqZ/83ubsoa4J/2683U0yLWbjrRi2WYsrZIz7U0Gn68D2oO+JTUxzdeb5+1hsWf1eBK0jGRe5Uu7fIvC2r+arzcYYx8j3n+12XW2PodTt426vmqyLGNAQQdvfB9oxDU3AMDFJPV2inY/dSDSaLy6CukakLA1xAmH85CN11jVRUA5A2FEkai0RRQWXy4BaInSOiDMpbmMsOKSlaS7w2rXbdtCrM9DXqU7mbxzJUIlElGCCcUXgY3t0CdAiqGMxZA3XRwbQbkcqJucckUvEPq7YxwX7tOIYB6QxY52sunK0HMVEncYx42Zc8JQmoyWgTy0Lyj9FKABma0nUjjTKRt26WMPvM9YSqoUDCOOKIdbG7R5DMTgwu/S1MpnVgYUIz3nCYmu0GQ8VRFG2+8njaotPvJkGT8fE/l2EAlhmFyIgjUhBimgOKJfYngeCQmtArSww9Auwz7DiXk3aJngQyWh2JwpB///Wzf0DXn98kpusg7tnZ4sdBFODHYB8Q/hDmZR46qGyoq1AsaHE6RSwfqRHdmch74FYvSNYUBEbZ2M4snTMcQuU0Q9vKWOfjqFVFgFLOgz+Oxzp8MYn8lQckhwXDrqHkl9HpeiAGjp8hQ+9AsWUF/ex8+4sIXERG68e4rFzZNmxUiC4giErbjXzA3SoQABW4TphCRg+dNXKeGHlcnnw96cDrkXYCSzaOoeuCpmOlTDNpTaBrLLne4aZa+vq2PFSMZykHaIArGPOEQpp5sgc50T2rrslSBWtM0iYlPGzbM3CUtjJsYBD1gJZqqEhrHM/RRLiDfqrwmcWF0EoERqIBGhO1WNmE8qAuEKkFQRuOPSc8CP+cHqgomE6B0z3kZ2Ly4SwKnbfnBHfPfNNw3V0LIcDuxjCjlg+ROP1ovH26kBITjk4VI3rEhqc2pUxDY7Jq7cPEKvGWpDo3VzjtsY5IOTQqtlxti7klKAJEK/2ZnZoqL7oEHz7iKqceWzPjgUbPh8BABdPWguTFWURQKtx4os5SnVeRIeJt0AwKQefD+B+d/iRzenMS+AeWaVV4MUgRtvubVurozbxrC3XmeqrtPNoBSrJlsChAkZtKDuqo7OzUswWAjQoksn3l6FzZLf0BUejeFfK4bWuyq0poAn/uMCYjeYJ9kxlyeyCjQllbzx4AaHmxjfjqCNAjTOt/rbCdfHgL6z9wCmjtETKfSb3gvkkK5LlC1BjRFx4nTGYsu48Q5eV4mmbDpem1GHrML81cAxIGW0MzMDOzHrLg1utcxtnXnTesWspRVhJNyiqjLGZe3BfYHtNBQhLRbIgVyWaqitMoMyCPgvM3I8HF/YJMD++EUIKsD0rnV8cBRDazfj2TB+6N061Fy/t+asQQVDv0EbacB/Bfo8FrfUOfQ6tFTPKRBt23+O0GlQ0GPnwBIzPvdAItbMsm16F35tzEE+5oRTaPF8bPVTHRF9eKXbmHdkystNZLWAQ66C7SBefU6S/KNqUw6VUpCdTaPMO/JKhK9FNtH3w/5U27IrecV2gIQAYiEo6EalTE8ONUIhyaX5QrGgxa0s+6IfsmQcWWCgyRRtwOCeLIuaLDH4aDZEipwv0+QikBBnHqyQHAFwnIe+FIwA33e7lwcR1XLglVURT+yzHBFkDysifq6MgLqEJUIWVomLliwMQgPHJxs3ZdaYTCwKtM5mAfBkZ4N0o1qkiHiOGJ+l2o4RllkkwPCsO31X6qKz9/LTRg1gByYrxks1v8MbnzwbM9z2KVrGxfQsFocqOn7HeVZ6p0ShN+4I4FZtPHaCx4PITvqfsC8V8jCrj8zmhNsrl4Gvd9y59OBraDGBX+vBdbXSBLc2Ao4v4nsMTz6a8Z5E5LmZL2PhAG43kiXIo9m/73H6GcF/6WCLnkjcVZdjMdhVEi5eWFwOW29gSYojFYj5v9sh5pMvK/VAtkakJ0NH2nXV7neMfT9KesZo/j2dex3rLosrwLEhHohHTmfflFJ5wKUjvjiz2mhq+v+IiWF4V6KiQRZAeGUfVvbIY/ZJIsJgKpml13VjUGiADk5blYRPnWNw6fIiQlaiH85f8Wno7QGPC6WYAomJ4mzB8FCwPivqjBXURXH6z5567L8C+YHpxwWc/P2ItEf/hm8+Rc0R9NyEdA8pOsXyRaVNGwdq9sfE3NxTKco64CkdIyR3XMv56RCsCB6AcOI5m+pbc2NNXEXd/8YyyW/BBCQX+8kcf8PP79/jN8wO+eXePJ53wb9/+BEEUX7+7x3oaMN3N+Opnb/F0mfC0u2HRICrKHPF0vMVTuQOiIvyUY5x0jSza2Wz3sATEk1F+XhQgVUN8EQ2UXwHIguFD7E06BQthxwFZEuaniXb9nBBmwa9er3j1xSPev7vF3b/Z4W4BTj9RzC8r0pH5WMjA3a9YvFlvrWm2C6g3jMecVnD6MaHVAtpYHXoXNVyIFqh3GcPNgrwk/OV/+AkwVty9POF2X1CqcETSxwn7v01YHxT7f/QBh3HFvCYUFZxPE/I5saP+T56QYsVhYrU6/MUzvv7ZAF0DZI5wtEE8eRcKzMtsZu8f8vqH4eQmioi4YECNHAvTq6JgkGt5QzWod52Y9Lb5mIIGq6mRmHKHYm2VEfv8WN5kvFQMT9nmEg7sqEXnjhl+vs1fA9Klmvw6g9awUoQEAOBK5sGUJhU86D05MFiYV775w7YUXhWsaB0GjegDs915DuAg6VahU2CokKhIU8Zuv+ByGbBih7AE4ustOcq73qHzyo8Py/bKSxmAUAzCs9Z2f2JdRxFC2PqIi01gXzn6AYDByxyCXY23y4C0VT9trQQKWbQFxS5AxnVRaK2QaqMvnCeZNxX2GKD71DqkrlLKin9/Jn7fjX8b0FQv2yEaweBkAMptxZagXseAuLND0zoIeWKXYXoXOeIn2CigbcVpGlrnS31WXuoc1fYngZVFm+9IxU1CkXw/uET79/cS783hsAHsNsSZQYsmIM6W7Jsggye7XvigIAda9/fTgEFcoASA83fkk+pae0Ya+H3nO1rAAPGGk7bOmkNsm1DPWIGkkImV0Zj4EMsYoYVoi5pDc2DOrfWkzqkM8YIG+fegqBr/0alFLuLVusbGZ/X5qxqERZ1cTQjI+U9ch7hFiKjzkeyevVKufb94Itv2Ql/eHmD4aIfLCllWQBVhiKhwNXcYhDy0/VwhbQ/74wgmrLSt/LsvaUIwPedpQVwwIALn+PJr6RRaAYsjhCqQAdWe5CJaUigbGw3mz8fuz8vICjr3m9n3CNRse8D8jKNFZAzGVSNUniIeJiYjAIJASkVQT1RCGxnj4j9i/q4mK+bMtXWTGi1j65cMdUEotAKrDfOIVvB5nrnf0x3yIRkkurbkJxTeSz44hBw96QDvuyVBBwZjmG0MjiXmzikSp8uUzo+Mc4fV2XbqXaetkJD70VwRlgwUK06avbJSbvfakDw2771GrLcREjb6BJkiXa2AEMDzsPS1k6KQS4ZzlWlc7r9j63zzh72jKfxcGxUoxToewiJayMm6vn3sSHRfZ0W6xucXuJMxFAL3h2RPGnwdmYQ01JVy5nSoRBLosrBgmKb+hv4yW+Gce++42pl90DaWMB4yQuQoK1XB8RytuKsoJlzpM3R9vn3ZR+SdUWbOXHgXZHIVZEcCcL9KG8FTSsBwFIyPvr78We/GDc/AaJQkaTbiZyAPkVbILop4WiC5Ynl4IPzRuzXVKTXaVM0hymkGrD4DAgz7FfvdinlJWM4DkIA00K+PY0YKFac4YsUAzQJYx6nsFJjQeLF+zwhemJKGCAorqQKi2pT8t92lGrnvODKpAkgollCTe97fv4zSuYa2r3x93Fe4f4iLYjzpVSzkPyu2ngJH9FSUccJy26cWtDNRgaF2xIlDxKWNrWOXKloTRAdplJ42cib2a6OApiJPCp0Kck3o0zisSB3M5tbCgs5uNNjG9rwHdF8x3s9Y3u8QPoLxy00FUsV0s+B2P+N+d8FnuyOe1wnfPN9iUUGIvGbdFeRAWCmmCmRBPEWkE3B5rSi3heJKH/w50MdObwT777j4py8EWAl7jgtwSgFlrDjsFvy3r/8Wvz69wL/5+k8gp4h0JFqvHBTxdqVKdiZndXgGxo/kiJeRe1CUftQbR+M7JrKOIKuDUUWsWLD/VjG/EEyJtpsfGOv9+Ys3+Ce3v8Mpj/i6PGCtCe+eWaVZn0bIOULuZ/zs7gM+jHv8zTygZApvIQeEY0Q6CtaHivsvzhBRPD4dUGZrHmQTm7sINCkywIaWdaDDWDDuMtYlQZ8ikC0k9EK3FaqR6VcmS/hPGPC4PyC8GfHyr0i7vHwxQvcZNUfoIpAZmN5b1BYCsl2PWhjgMdd6y+ctK2MzHflvZAFmgUIQpoK7mwvene8wfpeQbxTps4qbccElJ6wlQOaA3Tt2k18dzni1O+Kb0x1O80hu8BwgU8EvP3+LMRS8u5Cz/iefvcOrr0747nKL3364xzwP0K93hG97R7+h5vAHvf74EUKXGeIqjEKFWRFpVegGuSow8rIiPxQGs7MgnlKbKSV2ALvgkgYBYrAZdcapQoeNeLDICpg5lWKKllbRl+rjitAgrRw7oZYAFmgMWD47WJCtV0lrWDmLr/PtLCGcta1y43mZIw5ZUazK5sGRJnJV6qjQm4L9PSs9OTOirTVAKw+Pw0g57qcXATUHLHeBsOzniOEpcPNeeLAnG5zugRAr+GrwLVPwjALZRdQh8PlkMaXUHiiFtbYB1h4ID8887MQq/FtUY5yrwTm1dUDCWtp7qSUb5TAwsHLhJutWOnxJYIGZJRGcJ2nwk32gmEGRTbW2Px9CKKQdYvyAngCUfYXcLwiRgZAqUIeIugTUFNsB2YRiklgC6Al57jecO9/LhbP4mdIORQ/Mmmx8AuflnoMlqmiBlQft3jULtasbwwXOEIiazIqAingWTB+lVf+bbQW0UU6+b0QZXDU7zxXOKWWQSGW/JsIj0uG/LWBVQqBMfRxihaLMDlcJ/YDuDsH2exWoVKSBeG23nRAVGgswCFQLtAjyLhLGM/eZoZwbinZQcQYk7Xt8rixyKNjBXTdzQ2Hra6Nj0gbO6ZwqOZUmWOPB3pXQifkAh9CH0u2clIbYO+4eUIjgSthm6baj40Cop6pxoQXR1HiDKFKD+QKriVG1/VFgvhSNe+yBWj6w88P9xfUqe1as45miDimRy6sXoJysaDckqioDgFbIBgsnpzPk/8/bnyzLsiTZodhSM3P3aPbep7ltdlWFKoDvDfjehBxwxG/gD/ArOeaMfMIRhELwAYRIoaqyMm/e7nS7icbdGuVgqZp7nJsFgEwIQuTkyXt27Ah3c2tUly5da9hZJQ5dkC4uvMY6eYBMJUyOtyV/85qQtyhMWD1IdIpkaR3c8tYQNTE8p3yGqkhn+lPycBNsATXvbxyeWV3xoLiLASm4lj4DeG5orAB0N0CnhJbW5L9N9FeNVwIidYy996//PWIVhwmWxLrIoHlU64R1n1IGC9mqUWHhHsxzSnqyQ4qjJSmNldwGdAEh96Lf+nFiOy6m5YBGTmcz8CZdG1t4CkG5LbvDaf7x0lityhXd6xy33+FqxXDRvO0rbp+jjbOtwXI3ok48t9IFTOz9kTT/Y0wNq252wNLv2yiXyytZr1vQ1U7LVayyqwg5cR5NA2Tg/+fC2uznrRngbs+kUBm57LCChqeAKgZoa8QMQFugtclsVTVTHva9uFofswaYjV9DOhW7l0QLqU2sEhf2pc4AZKBeSXuRPhZSgPGJa3x5oJqzW7ZA1cbVtDGuBs6BQHPdGb3x1cj37syzOK1xYh0At2AUY+rE02r9pBGo+4g6VqTUkO5vFYhcbGYcCw67BaUFzHOCNtJUtQnq4wh5NGsz92q2OR9nVpLTrChHzm3fb1sy8TyrtkLRXS+8xa23uwk61dNbxupkXr0NvWo7PlvPslVs2ZqiNj5k7cRLw/i4zhUpinjJQGkYTtWu6Zb+rAKKYkXcKP6S3WTYoUpvKepjYOeiW/jkO0MzHRw7FMSkqFGxHJ2JxyQwXTh20/2IcNoT6XQxN7+uCKAKymLAjM2p3Q+JPdYPM97uzyga8NP5HqUFDLEBKDjrRNACYF+oAjCRqfmbCusooV2hiSl2oEjYP374uaDuEq5Pic9vx3sNWYDHhE/jEf/h+C0+XfaAWfGI0fNJ9SZTsY0NNSjOv4qYX3P9DCfB8lpx/PUzRBTPP99BLmw5yA92LRYfeZFtfktAJ7+qOC8DUmwYIjfDf35+gx8v93i87jDu6M2eUqVN0I4ssGEoaCrYxYKvXr1gqRGfnvcoSwJ2BeVLQHPA4x9fcR8YG5Pr11fcHWY8Ph5Q/7DDKjIBhE8Jw3PA8mXFeH+FdWECKohntp7WnfW125hDWSHPD0B5U3B/mPF8N+D0dULMJro5k1nRkiLfC57MLsvZD+NjQG4TYmbPribGndD1fNIigPllpxfGlZe3Ea1RNTw/sOf46WWP83XEOBZE2cShGfjju9f4eTrSNq4JQQsDt16WCUEUz9cJS4l4Ou/we32LlCqOuwUxNjwfGT9t2ZuSWRn/r3n95ZXcy4xwnonQRluEvmEG41Rb4K9FgKRI9wtaE8Q/7jA8SqcuQWF2HbBNy6h1YEUG67ywwE77XGmDUd6s1yReGyXfW2JlxxA32QSsIVeES0a9m3D9ckCLwPRIQSaAB28oDemFUXwbo3n+KiKMSp2NxmtJZMyKWoQc/165VUOHGzA1HF5d8NvXjwCoNFdawMfTHss8YEgV99OM/ZAxDdxox0jO/R9+eoNSdxybk/TqdLq0rgrJimQGApAPqQfyvTcokkLYUqD3aG39Pm4mgwJpYZCiiSqUHvgygaI1Cv9BjH5MiyVPCOvbI/L9yCRr8SwnWC+CsBpRtQdtniynS4PODNDyURCaIlw2AZFqtxvx17aaRrU7hR4qXr86Y0y1K9Ndd2yIL8OApSYLyp2BENDpea2xLOWvUnmtPi+WDVK8eQlg/UgKJF0TFVc5VqyLVQ35jUyue2JECJl9CJVBoWRFqgQANIrR5dGvIV4V6VTo4fxAqkS8VPoSb1TDO+IdjVJuliRiiYGK0F7DklwpDRJZ0aXPI+d7s0RbmrKH2XvTDJVE5TMdJ96TG4MHK89FO1yaivWRCC6niaiopk5j9GCrWgCz+0gxKH/m3kbQ52mwamGuYH95hoqgHQboGBEWrts2RCyDzWeja99sosY24Dwv2CI8OrBKFM4L58XGW9bHDUtmxXI3rpRZrxIXeuKFyCpXKIp0ZjITl0AaWbcv4RhXo8avoBlR1/ZmLZFIUEzHBSlVnJ53qC8JbYjGIhAML5bwjrdJLnplGtDnF8juDmKUT+6rgjQrBcZV+px2OrEHrumyJrkaYeyAdc1IJagouXIvcQsht6jxNVQUKRtwmgzU8/G3wDBU8+BWhbSBlmT2c1axuBepWdBRQdQ+w1TN62FkBVT4nQQBuQekCynpLuDVK3wDbYJY1dY1MBBAQoPYmpTAHvBa2QMmQQm2gaJLyAEh3/qeBujKkqnckwPC2maewprfFukUbETOnTYExFJt/MWYTZbA9sHt0wVtCChHf09BerraD/VmvqMzO+xPbdwjA9b3uVZBEGCMkNoQn2dAFe31hGwUz+G0AdJ87TWswbGugkLep+zskLIDljetMwccMAiVlE8gWNLEZ57GARhGQBtts7bCU7VyC3bxwwIgMZBsyXr3DfisU2QvovWhhSuD8XQSjI+69qxFGANptVIKc0N8WTojpI4BYWQyNJwbxk/F7GoG1KYYn7m28hHID7yG3UcCyhojMsQSeT8HuD7CrOhuACJok2B+iGv1AxYrXBvaIMgGpHFP4V4bukgT2zkcaFiOFOXaTwveHC5oKjgtI0qlwEwpAa/vL/irh48oLeJSBjRwX68t4J/bW+jLZGcMNswfeuTuPlW0KFju6GAxfiosFIwUgYpXxfBS0GJAfoidlu2gUAd8rcdyOBkVfyIFm7Efx3J6LBg/ZeT7Act96HosDqS2QTB9rBh/eIbGSNuxqpDTFVIqhk9Dn0Ou4dJV56MA0YCWglUXIXLheRtbnP2ZrIm6JiC/bpi+PtM31NhnLpA03lWk2PDx7oBL2yPMFBSKMzA9JqTnqa9d3QQmBFME7ZoYgwcySI5/Ii315V8Lfnv8hH8+vcGPL0fE0PBqf+1KtyiB+1tsQA6I5wBNwP6vnvH6cMGffnpNH966ZULw2ocXwf5PJ5T9PU6PkdZDe/4sXmk1NIcR/zy9QVkigVlrYwpWkFJbW2FPFkU+VCxNkH4asP9ZML8B/g+//j0A4P/66X9EeIpoE1vGNGpvk/LEMH9RkL9WhKHiMo9IqeJuNyOI4sdP91jOA4Z9xv3xyu4P5TMYdxklNUyJMcsuZfwPr3/C3BL+ff0GLwC+eHXCb+4e8b/+8Cuk/3VCqMDLXwnafcFvvnjE//Hrv8f/7ee/wz+9+zVjDRun6X3A3XeKxxhw+FvuUSc7B4YXjlW5EywOitjf5XWFHAoOxxlvDxdcH0acvx06HT5emPe0BLS7hvZQgCy4+08DxXqVCsZ1sgpuspjWC4IFiAUIpvo8vPC7L0tAVcEwFuQ3gJaA+jgSEHw1Y7/nPXjRD9/vcBmnnvB3z9smeL5OEKFbSi0B7XlAPEVcv8j49V//gDIFWmMmhc4mJqwAFlK//2te/22Ep3yBbw4mD0yopAp4xKqDokgCqmC8GqplMu1Us9ObYFOFGwcPNKOS9Urvpi+2akcjEVY7oLCpcHmCwYMr8PabdmpZ8AQEHpQx0K2Hwb7PAiVLyNAtMBiAaJJuBeGU2qZGPUnK8n8U5CXhJY/s77GDoLWVHhvAAAkAmgpys6pKDhgq4E32vrFu/XOdLtwfT0ccHb00Olv1oAV9bNQrHzYGbbJNXtagiDfrCaklFuLJXVvRftwCCp5M68RGQv6eAKK0wJD1sOV3WPB/tX60WVdKmj3nriCdVhQXYACKpJCkGFPFGCtSMODC0LlTE7QdH9YvBTvEoNf1B7qtCFly1atsRTrVDmp0W0OKYfThuHiQsfZ79r5mH3dLhJhM86hSYUWse2LaphsKK//9kouNr65I+c39bO5RN2PMCScUejLvSwrPbH7fAjaFW08xiOiCbFaFYtVNKfxl917NP81fLnufYsVoKGmunP9LaqieIHVE2CuB6JVoDXJbXfV7tGezPsP1Fp0psFbXLFD0DdeT0/480EGIVQXcPqtaVVyECa6P5ecCTn4d/qeBAUNTwL2/jfUgQbj3V0VQQWOj0c1H9QPOKLtquTNEIbF10Y8UGmJqKFNDa4JyZPJfdoJQA3RMCOMANLt/3SyeGJl0OjOkKq+rEbCMC587A/uVIeP7fFzMksbofCGvVcGeBIXAyl/vH27rfP1sDMXHp1MB7AemvuuWbazetJXmGwIrho2q2gD6+4U87nVMAauctrXY53PCwB2NwscX6FctzSp8Efwus2QLqa1Mb7EKr3IrCdH2oEQf7JYi2miAwcb2jSIrK2jS568zXqp2wA3OBFmctWHAZF/bG4Bg8wpOebRKJmCAgtOft8+gg38EiFx8ru9XQD9LxNgKUO81ZkLiZ3BPsr3yHdb915Mff1/ZWf/35JRDJX3OxI2cwdVMKbaNXgGV9az+F16636EOoQOFDiyEee0pJY1W0K4GtERS0YcXMk3SxSjWsn4G24Z0wwZBB3PaZs4726Hu1qQNKrZ+rGAweQuKWqVWO/DltkTbfV7sM7t3sgMIneWF3nsXXASp8Re3+22wajp7HhUyNBNjQxcOyoV/x9gQY8NogGUKFa+mgtICnvMOcyPI08WzfFrmDevD5mDMds6kgGbzwwGzfLA+68Lecb9eWg/yPWVjkdKsYjk8r3tPsOpw3cXO4OmUb084fU5G9re2riOwh7TW1cU1CtSsq9bxtTkZZVVLztQkCG6ptwF0eF02r63FJ0aOdQpUJx7dJkZoFfMyTFgG7sXePuFCf1KsLS2voCUAhKtAc+y0canOABOU64B/eP4CH04HXM4jxqlguufza3OkkOuk0MkZXYKmwPU64CkQrOU5q52B5K1adQcsX+y71VxfexZP+jPIc4LmgGjHrxeF2q5hGgtaDcjngQyS0dwkdokexgr8u/e/ogfrOdL+CrruI/ahcjawd89ES1VQcqS9aCqIrh2hAm0BpUZeSwsEGcaCyYSlACBJwz5mBFHsx4ylJEwWZw5DQT7CnBMAlID3pwP+3eOv8fPLsYvvOVe/HhTzG86ZTy8HlBwB69muk/R+9jBvwItIgVrYNV5LouCUrDmYGnDl39d23jLkeZDZLwFIZ7JllgFrNdcq/+XOcga3ZqprX214Tq4dCBUgnwbUwsq+i1PWwya5LQKkBhmpwv1qT2B1KQmLROidoI4NcVfw4XJANRGxG7GshQyaevnvleQm81EcSfvyQ6tZoBovwKiyVhMj0MYAaWYBcVVaB2RSb8dPpdM4eSBwBMNSWVFt1vPTFPr1PdoUrLJGZNmTrjivlUbR2JMOFaKf7S4gXRXJ6D7pbAGIURDDtdIC4DDg+tUER0u7kJNVhGSuwBRR9oEUTu/FqIr0wkVfMgztC6hVkHXEz7jvQSkA5Ex1RQUQA4PT2gJqE5yuI5OFl0TKQHWUkIGA985CWGnAQ+yUbAY+DDY94HHaoCtx2iChC+vkCgTB5YsdlrvQKdgAvzN4lWGpaEF4ECx1rV4NtG1BaYjXwkB3zkAIqPc7tME2ZAUUwZ43505L0itr6VR7r1g6UQQlvxpQdmskpFFNDEd7BaAeGnRXMewy7qcZUywYw2pIDQDfTw/4sb5COSeMT5tlYImLpgjdUvI2io+kxLOmki7s89aItVptibPaM0pnvmd6bqRYGt2ZtNrWP1NDgNTKHk4AqGEN7oG1+mX9cF2xsyfLa/K8HvYBG6HY9R7c8sY+B5FCa1BFnCswV1bvLYnj81/Hg4JPAXVg8gQxe6MidE1IAErAMidIUAwDFRfvdjMOQ8YQCD6UFjDXRH9IFSw54XpOJs6zBi2+RzhIpU2RLuwZVBHoQLp1cAucYXPTwJrUCrpgVTqxQlun0P/txg9XAURB2yc+J+vLCtdiyXYAYmTSVC1DScHyXUtSgn12r7rJOqZzXQP9xI08eYVc2bOlDmb5wWVBUZ1AsToF4qA4HK9MboNCRHE4zChTxrIfsAwD5BoRZ4ry7d6PCI97SOFck7ihWY8jMCSOn3IflRpQp4AgiumRiG4+Uqymt5hUUgFJZ9ee2AxPnMvNmC6IAtlK/yt6z2Cnu6bQg8twXZ/xFqhBMFGxyOce54pwzgjnGTollFc8vYcPZ2BeoIcJdTcxCZwr1/medmqsMDNg68ycQyKTKCvGF6eyck5OVeFWRVBAs6BlQRsb9E4hstpnhEDq8Havl72i1YByF1GuEfHqtkLrenT68U0SU7QHsZIrz7qRMvLx8brOQ1V6fo+pi691JoHCKPMVIQaEYntfENTD2JNkXzMAoFb1J2uD9+BKy5LpJ65RIcHOxctC4GyIQAiI50z6uFPSAThoN78dUCeOc7p2hIriT6+NrTAwqdWkwI69oGFofT/XJsiPI+KV53yZrPc5kamCFkB0Yx3M5esj6kNCmTjGvf3hIxMYp1UOz4J4sXu1pGj3ni1BXdlY0MXR0rUhXltnJSEA5UjBObf5ccXSOpKRw95YgiykjTfEa0Io7Nd3gHf3sWJ8NqD8ngie++T69+kYuvDkYAJFwXyP135rMjq2IIUD5XUA0pWWM9dfNeBYsDsu2I0ZqoJPlx1aC8iZY/L24YSHcUYMDUtLuBtm/PXhA5oK/u2H3+E0j8A1Ip6lA7qhMvlMM9d1PgSkS8P0obBCdSTQRiYdKdnX12SpHX7MCEtDvkuou4Dh1JBeMnQIWB4SWhLkY0DZC6YnxfRdQUuC5Z5VbcZpoe9RDsRpcuCOlOh6P0HHwOQ6ABpYKfVYqkV+D+Bzh+JqQ1GUPT3EgyqGs7G6lJoF3krVwflECxrsK8ZDxpgKUmzYpYIpFfzN3Qc8pAte6oRLHXAtCT/s94AEirBF7kt1l5BeFoTnC0K53Oyv40e2S/VeYzVLoQDEn0b80+WbLgR5fRvwxa9PKC3gD59+heN3AdcvFcsXavoZgijA8uMOz9PIsdnVnog4swcKXL4UlP1EKuxGUwcAdACBjCbA02CFLV5TvlcyPl8v+Pb1M96fDqjf75nQf10x7TOubwXXXUK4BDz9L19DKrC3nMNpvTUpwlTRlojpPffZ61dAfd2gS0C5RiApzkERY6PYVqBv7eUykokwR0hQ/PWv3+Nv7j8gt4ilRQyh4ovxBVUDft7fYQgNd+OMAMXbwwW//+sj2xouAfE54nR9hf/ndw8IF4JkmhSlCBAEy9cFy1cAiqD94cjxGU3vIQWUhT7P0yd04KwlID8E6F6Qc8TjaY96jR080MQxj88B46P1JCMay5Vndj4C118VjO8j7v/R2DJ76UK9IQuWVw34eoaWgPJxIGtrEdSfd9j/HHD8jrHI5Vuhh/bTANEBKsDymvT7w9cnhKB4+emIcI7QtwWvXp/x9njG//TmT2gq+A/xWzzPE97uz3g7nfFPT2/x3R/fkklg85j7FjB+Ejz8U0O9NvzXvP7yJNdfG0TcEX6KGfGH2+pM9zUzCuf6Rzsd1WmcHcFuhsrX9aD1ioonZ6roNB7SYK2aa9WnpkIUR9agsR/+zrz1KrJ9v1cX+beuvZfiCfjm/m0DWeXx1QQTrApQGBBpDihLhERDj8T+BljZahFzSVhKRG2BinP1Fs1wpLkjmp3Ka9cK7WqswW17qgXfqmtfnAmzfI4IK9Bpqe4R15FqF+WBARcuYb+tWgGd7urPTUW7tZRUwdaTc9uf4jwRUbAf1axc+MzX+1wrAdrphBS1YJInt6DALwABAABJREFUAkRpGEPBLhaksCKcu1QQrNdlOzdd0KXbGHw+zVWh3lNrfXMAq/WfzwevLlP1WE1UZk1q0ee1YtvP2V/No4J1PLU19q9aALWKRPm8sLUQ5Paz/D91+/+1PyvvfetF13D7e11AqAdK6OsqVHS0vs/FCmgj+0ACRRZaE5Qxohr9vjRd6coqNzoCTkXuldWq63PvP9deFcUvH5W90VFTXe/XP6PyS6QFVr42vbjb+S2bcbr5LB+n7aNzJoT3b6veXpqPn30fDyxGvUGA1lYBuQDuG52WLtt5us5xEcUQKwbzJnQWSAyskJcxkmq5EQfEn7km+6X+b6IKFCbNBDk4FiHAepr92fher0bV832X9GQA0DF0xfDts3F1b6+4cu+WDsJwnBokBApweFAunz1wv17zbe3WGCJWVZWb7+3WL9te3qa/eG9nwgj3ca/6dGuGzKq7BEAkQDPpxRp1rbLb9d0I2Yna87QEXv3scTBtu6Z9Xum63j+/d09wu12OVV+dbSTon+kMJdr96CbxtLPDK97bKu1nL79GcbX8zoKwZ6DSmSFMjm3/dkFCK0/wfmStYG/meLVAj9Y1CgQfU/QKotM55zGhjRGtovci3z7zgC09pcU14ZYGCBg/UK1Z+xrx/ay/z6rucVmBRYRNj6bvV21lv+jwGdvKn6mtI6nmfWwMK7dtcr/gfgsVCE3px54AacbA8TPY7Ks6Y8WvY6tjgfV+ug6BbmIucA6EEYDt66UE5MQ+vNbYWtKMoVNbQIOgVIaSSdrNnt5UemDe/+7fD3RrIV8D/qPbkARdjE/X6+7Jve3j7st8cxaalkgw5e2WDCzbFjuNveDP189IB5pcFdvbGm7YPn0t4BdnkMdLTrmHyCpCavGKRqUa78D5HK3NIYaGIVQc04yHdO2fuUsFGKyCumnhWGPSz17bcx/rNfs6kwqq5hbbB3NgFVc3xapNXNXtZbIACGRWJO37lyjHli2ETKQc7PfniqAUkQu8ILFKY7cnMlVvBTDXiFK2ND1h65OiB6ruylA3jBBahoopggvcBSIsgnaleCfPbkVrYqC09nP18zFMgXFk5QXSBsn48SlUDLFiDIwxYzAvXgfpxRgiV+msIl4nATqkRoXy08BCiTBBv4nB/HywfVmEoETJAU0UVTiHu9Xa9vJ1/Zib5x/BlrrIs8z9vbF5DwTW3sje2wabMyZ+FUxo0sWrglmd0Vcb0KEhRQKS6zwl+OtxCpkKDTE0jKH2Crnbb21/r+8D23v5L7z+8iQ3lx48hrliWphkDiMrqtOnYOiV2c8AXTWTSn+C6ali+pSJoE8mlpAbKVgmmuNJDpU6B9JqLgWTV6TsIPb+2bofegVm/FjQkhl9u0hBFaRTZaVB0KsrTqstxwHzFxPpMM91s0nQ8L3eJSYtVoEMiyKpecxawuZiMVdL4oZnofz5HJAb0Y5iSS4eCtIuY1kS/vjhNUqOKOfEBz2QAoekyPeKdBaMj6T3OJ0nzVRAZl9QsMVvY5fX8fN7DOcFaIr6am82K2sPoD/PeG2YgA4UxLlh+MCKQdsPKHcj2hRZCQsJonespl0yA9M5Iy6lB2geXPbqy2m+tVaxV0+81YNrVoJciTVkxXIXsDw46mTVX2MWSRNWVyq913ax4OvdMw6mkFQRcC4jvh8e0CZBOXCc6z5Cx4GKq+cLtN6KbKCwChSrojlSb9Ql9kx5X8qaWPFAsMrWhSJm27nkFkvSrK9UBLqnUIjMJpGLsCYfDRBUhCs8w+noLFqDxoBo6tZueaVGl1sP55VOpwHsMQU69ZdVtLAGvPazbRoa52q9mOQuSuV6DovAhd50iWgnnooKgnLv7ie8nyrSUDGMa79ua4JitKX0zF7FOK9CV6TaqVU5XEjLgh3rZdYY0IZoc977i0mLD7laxduDfgs8YbThYms2iRHFATTtPc09wQCs6oqeBEIESCYslSvFumZbAyKsLluF0iuHqKAVUS6QKUGt6ubzn4edIN+ZnVbk+Hr/mQYwOBo5jscxY4gVUyz98ACAd+cjlmtCi6H7uEpVyGUGcoZer7hRVx4SkAvCczNGQ0CIkfM0rsnh8BxRnmzeWMCZzrZnW2IV5oLweOZ7yu5GkdeBManbBE0hGroitaYIPUzY+rN26q0q4rX0yjxEUPcDFaydUSSC+moHuRsB01fQFFBe73nW7Fn5I3ikHRQFrDIcpK8XvQjSOfSqUEvorJo6yioK8jhYawcoNrgj1Q9BUaL25E6V9DPZBAverhMWRbpWxHOhDkQ0D+HTDJkLtFfa2RdOJkMEhtjnH4JpKASwpxxAl+AGyDj4M8GCDqRphqVCnuaeNHd7lYGVYzld+7/zQ8SSita/h7Z6Vsne9kOL9krd8FwRZqXP+BRQJkE5mg/zvpFeCNjeJdA5AEkx3FUcpgUxNERRfAiK6xJQX1i5kEaGURIBxgSk2Ol2APeScGmQtqqdawTKjv3X6cxzfKv9QPq69nYQZ+SwMsv7p91NgFwVsjX2hSVaBkZrACrW+eXAUJsoGCVNKX5k+/uWVt6iCSpVC+AUyMfYY6nd+4w6RcyvIkS594W6JrEtiFn02f1Y3JKu9EuWSvbW/X+KaFPE/HrAaW9U8akyGE4E1N69v8c7JStNItWWH5cdUmh4mSdesrFP2McMoFGxvO5poxYW3lO+j/D2gGBtERop3jVVbxHg8wlLQ7RKcDly7ywuHGUtExDB/DatCVhbzzgA6N7RYEw0fioYApDOBfHM6nDZc52kuRn1syHUhnBuSCaO6G1jZR9QhmD2RILh0nD85zMkN1x/fcByH3H5IiDfg2rLZrnHxIQPJxpVeQwVY6g4hAX38YooDVMo+N3dR1x+NeDj8wHy7s5sMTk32xAg93sK+9irTYrrGzKG0nPA9MkBLB8Em6KN4E17ifgPP32DaSgYfnvC9dsICQ2jAPUYMU9sNYxniq9pBTRGhNk0HyqZAGjA8gaYv6QeS7wIVCmUqGMDdhVxbKhPA8YPkRajv74ixkYV6EsAzjv8/N2eydUrSg3LKSE/DohX9ljXHXD6Nzy/wnPqlOz0IkjniPYUeoxc9sDxj4LxOeD8reDlX20yTpCSLOb5HIwRNdxXBAHmkvD3T19higWHtODTcsAfXt4AAKZYMMWCu2HG2/GM78+vgGcmrFQqV4w/J0wfuJfkV1yL4SLANaI+ADLyjNBkbUEmEjk8y2qlZx10Hp9M7wXD44D8KiG/zUAW1J3tT83aJCfF9Qv+nR+omlx3XpBQtnkMistXwfYx6+UVoOw4FuVpXLf4RKvAeKVY1eO/ZvDphaWy53yuRnHH2LDkREB1V9EiQZzn0w5zHnDOAwRr2+bvP73B39cvoQpMr68EMc2Pty0RWgTXb9hG0P570ZXV+9Pgm361QzmsCF2AeegaBWVuQBDMryLqaAp7LwvalFD2FtBY4OQBa0c0Azo9V2qFVKNBhcBE4UrOl+wSagwUn5ozQuOGHQCoKRCGrKQeBqBN3vPRrLpCOkq6NgzPba2OBQCD9d8CEOPBdxEsQ3Q92al2H2icrAD/vU1+D9ygyh0FoWqJyHOALgFyjj0gcr/RNir0SurOlt4mlYFZHUO3Qdr2Dd+oz1YFcmGwHQ6Gbhr63RiA9ATTrSVKQ7xWhOczpCnafqCX8EDLH4C0uJAbBahMsXBbBdgarvdEZIimHmrJlK4AwRZVdWEx/xwi/eg+aTcIlAdEAAIUyQ6LO3sADVTHi5G2TS2B9JnBkpVcoDkDNd9OdrNBUtchUuaeanZNvR/KkM1uMeC08aXCPQt7YtqDfO3gwppE5ZvxW68DDGbtvV6dXyuT/N5exdFVjGLbc+1icazWc5zdcxGQXmHv1R9bfz63vEc6WDXIq9nRes9RYAIaJngkZieYBXkMHZFVFaAxgJWyWup4D1noc9jRwtb78vt9A2vF059VoMIntvOm2Q0F5YkRZR0T64vlm+3ejQ1xY6USjG9Y1mfTK75eTWuNgk61AlnY4+1JnqOxuazUdGdYRBfP4veXQ1iR/85WsHty1N9EvIZQsYsZyVDSJA2nPBpibolxsPVROMd1yVDdzHMRSKkAKjRRyVOSEuzYVjhzQ8ixswzQTKwpr0r0ct3cX4q0Fom2V/tA9KqljWVtTHBPF4KZh2lFtLcIdfNnDGt1ABAFNcabZJxCUoFJ21KhEigkZIEoGReBFOOAFdDYMiUaq0GSG4IFvhAG050JYSBSXDi+dcfEpDRFCcr99TNF4lDW/qj+p8Is3+zci95baVTlJdObPhqbo1RWR9PQGUyf07s7QJx8Xq99mzcvpxP7361xLjhzajAPZZu7N3tTqVwXfY3Y+8C5sNU0EEjfkxwUyTF1eyi3xtIEkxZ11Bhw0ZIYSOn0eX+ZEi67HWoFFfQTVnaRtRVQFcxetqfRYxsbT+K179VZCl5WVO+v9rPUfw69OX8622v73zZnpZcJ1S5H+mfSyodJUrqayGAQ1F1Y9zX1pMr+056x9y+PL4J4Keh9pfYV1FmQfm3N2VMGSEpr3dIsRqNHfwh2vgrKIvSAB1h9NGEqvSRIZj8houI6BXxIB6RY2deowspdwupu0ewZB/5bVPSCgDQgZYIlTUJnWiQ/Nw2UTReepW0MtKXbaJM4I7AOYj7Q9APujgbO4vDnBI5/vPJgD3Mx8UncaKz0ar2DeIVxbPMY5hh7u1pPHD+dIfOC4WG03mvpdNIuXOfUOeCGiROE1dxB+OcQF7weLvjycMJSIi7tzoS8dE22xwQNa/JGn+MGGRpqHlZmi6LHVoCdcSa2djlNKFPE24cT7sYFL8uI0zyixIYFZGfhTIs3dVaLWYBJAdKJ4zy/FdQ9BzFV2xNio9rwPmO3y3g+J1OxBw6HGVOqePc4QQp73tNJkO+B8mVlRfEpIZ0IAoeFSfzxLe16XsodgLD2HisQvSJtff3ji+L+jzPqNOH0N9LJJwDZIa7dAgApNtxNFKU65wGXPOBumrGLGXNJ+HA6QAF8dXfCGCsGaRiEvekyW//yUSEjfZjTWe3c4fNyWnet/hDW58H4x4D+Kzq9Xf3ZwfyhFWgjK7puT7fdb1z4to0KDAqVRrvXKD3YdgCg72nmOAKv0Ft12eMOqYBkoB1IR5aGLqCoySq4UwOmColq90dLKjXaVM0RV+t3DoFMNBHF+ToiXxPSWHF3XPt1WxPOPSFFexGgnW97z/+l119uIXS3pxqrI+KW8Eml5Hbbs1dXimJwxUwL6GiSTlTOk0xWVtcDGuDnaRRgsO59p0rNa5IrxsHRKdkhzoNBU0DbDaQUWQAQXnzDFCxf7FahCqBvhOUYUQeBNJdt1xsF53ht/cARVQxn3lvzqpntjCGb2t+8Up3F/N1aAso9g6nwmLA8J6O4GN3b9qo2J1Atzc3ArYdnQ/FOViVc6eLWV2zJUEeEI2mDYUeUtQ3xRqiqB4Y2PnxeAFJAOQrab4leNbMmClUJAniywVkLHdKGWihWORBe08Lxb7uRwaJZUHmy0kabT4X9jzpFLK+nHpQCrGIPL+w1WKb1sAdgQESDAPhwPeBSBrzkCWOs+N3+I341PgIAlnlAOyfsHwXDM9iXXRuD+/s7SBuAj5vPdfqfWh9aCEAx4a0pIRja7knTtu95yzbowZ8FF1uKotQKObPn3P1Ve3gYw1pZNXEqVEtA/DsByNJ6QLOd1xQfivZsTVAsSrdjcNpV9xsttM/x9/U50de4/SlAVOtdNDGMuOPm6c/MaSaiAe0sJrqTNrRkitSh8WCLMxAW6ycvJkpS1oB9W0VqoyVbzXqlm1WyhP/W40NnC2wAFVTrxYQnqhZP92DfDgMRjn+gx7KoIlwyr8efnz8jgBVRt3SQ22cmntw5Rd11BgwoQyB4pDH0+6cnIA8R3gyAHJCvCbUG/KiCIbK6NcaKfco4pAVLZa8/qh2YFxu3lPj9MZpfgb1Khe4tKdj8WzhZNdqqg9FbR7bLzqvlta4idGadhFyYMKUI2VYU7X4xBiZKXvkb6UvtAOfnz05D6CrgsEfU1ZEBMkeC9VsHgq5xiWurStMOvKzg29ovvYJG0mn8nvCma0NtAXFkUoQLA65OrwfBmRZZrU0v6eZnbVSrFpLZE2fXTVAMp4JwZeWl3BGtjFfToIgRGIe1d9mqrs4gYBJhldzB15d/Kfj+zjJBD4wRYCJMgnSuiD6vk41v2swFU+LWZKpn/reBE/1lBBQApqFh86U1Jl+HgQziXIEMVi91TfSlgH6SknoCqRHsQwfYv18j57cKztcJyKRd3tBGtyDKJtFuY0BSQLIxsyYCbnHmuR4W7n1pDKtDgY1dWLzqKqsX7qnBe0ilKeKldOeGund2mkIyx0AUCGPo+9rwQmBYg/XvWrLrgli9+qaKNDfoC6+pOMvDPHgvbwLqeECLFK2BAniICCV0IMWtcwDcgCsqQN0FXF/xwblHt7tfkNIaLGmwyg/Qq4KqgNaEp/nOBpnfn55ij1umTzxj3IpsOFkvtj8af87iz4MqyfloGgEmxNWMm9oGV2hHb2kJ5tBRB+vPtnt2WjwU3WnD9xSPjbzgIbYPTJ/qTfLRp1WkbkDXNylAyAkyip2fXM/lq3ugKZb7gXuRwLQ7KCykCkhSpLF2UcZrSfh43rOiGyvej3fIGrC0hD+dXuEff36LfBqxA8eR4m6mcRLWWBYA0ikgLsnOc5srE+3nNCnaXtlaUQNi4BlcP47IacAPLyMkNYSkCKGRcXVmJdfF2cQA/+heyArke37/8AIMLwl1BOrBNFMUQBXk5wn5Mlghh5obL394wAuA/Q+Rsd2efzQC7WkgKCKsFqbGcQwzcPrpCJgX+fZZlYPSSsgTsypYHgTXLwaCH4sALaLMe+SgkGPBMBVuEypQFXxo1iNrc3l+FTHFgqdlwvPTHloFy5IwjgV/X75EKQG1RLS7Shr0EoBrYMX5N0zK612DFMH03qwla0S5BMS2rhlYHFKtYOXA383Lwoe61+7kUa362u4KZGjApxHTx0DM5sCxoYgfv0PmgDhTOLUloNw16NiQPtLWqE20HvOWQM59fqcKe4UJbHDQ6wjoUIGxYdhnQAU10zpIL4lzMCkp2hMVwwHg5Tyh1YhhLLh/dUEQVtJLjbicRrQlIjwlDOd1fP77VXL3O6PaMTIkSmSHLqhM3IaAdCmIp8yk04KT4bJwwzKhkZAb0jOrbfVuWn1LVQExAQ3VTlUMWkiXdkQ6xW7Z4QlpGwIQkiUUCmw8z/JXB1y/uJ05Hji7OXptpP/StoYb+/hciZZGCrKgCdKZn4njgDZRgQ+RFkjDuXU6MEWxQNrykSiVRsX4GBDm20BpS3uGCI2wn9QOHhPBMjGseC4Ic4G2iChM6P0+daKQQ7cC2gS1FN2x3qjGTbKOazLZ+2bAAzB/wSkTF/veZ7NY8s1VmUwIApqDFRa0Q0EhmdYoVrZLCIXUaa8uQxUy8RmGOdPk/LiHfjGhjWsSGQpRuazA8nrTY60czzBWSGh4vk54kREfwgEiivs04+92P/Helwi5kt42PVLIiI1ZEe3ARXczN6pX5/rj6QCC29KEpRB8Ub2h8gOgX2rvU1uTtZsKlYkBoSlQLPkXIwp7n5knSJ7AdSRQoIXJBlHdTVXLNk33GKzjivr1Q1E4/+NMQZN4AUJdb5aUKF5DbLUnmkx2LckRIJSIYv6AbeT8rSbwojM/rCfAYJC1fcUrA8m4ADETyAne69mwjpeNbRsZaMdrIXVZ1r5TUZCK6s9q+3cjECKNCbEE0glhSvFbpJtWM0aDHYziOLP5qNNt45rUqioktJukyZ9Zp4DW9W9FgRgbRUNA0IQ2gD1lVSEqvcrl/fGSBQr6Pp9LgMSG5RAxpoq6o1DUUhK0MPiPV1LJpCqTzbKpdG3mHxOoxPuyxFOuJhU/WfJZGu//z7xkId2YTAMXKCqWfCX+WzOdABG0+z3vuTWIe0WPti/b/i6eTDnwEAgowiuaaoJBlqyEzM+uO4qjxWw0Ugs+nX7O88rWTjDKn2oHDFsSriHvCS/GRGpA2AlkEAwmtqUi1nsH+m77HAKDrGg5YD7yfKEVjFdBSFVOLxnhvKC83qMcE+n5L0sHszQO6B7GQ2Svc1HzuC1rMtcZISvDo6WNCFqzSpxVwFwUKZ0rwmnu82JLFZclQwp95REjxepMvCucF1Lgt0CBJ7q1QbIS5MgFmAaItcjITMAwHAZIixu2BqsD272xDRRGgrDFIdeApRDkWa7JqN/r2db1E2o1ys0mybXYIlRFS7Enq8NzJW3cxLKS0d8RVksmZ3vNb0bUO+79w4sxo2w+hUumANdhpDAfgHFpa5W+KuLV5ltVxj2qCHva9bjnbiiMN3rvKSjWKaWh7AXLPffkZpaF8yhYXlsPolX5WCEVY8hsEkFd2UbOyqkTE4FQgfHR2myuIAi5GAUywpTFTQAv+eHCMYxXseq4GGAAsyZSTI8V0oB8YJKeLmYZ6G1WQAdS2dOvKPuE5bhRZi7o7DGnBgO2J6pakmsx42TB92RYpTl5pFkRt9uXr4Ug1A4Y2aIxvb9CU0C+H1YhOKMGt5H74HjJBCjzQKuizCKIBsH1y9Ha8Na9IRiVuuszpIZhLFRUBjDnhJePB0hs+MP0Gi+7CaUFVA3406cH1O8PSLOsYIGAwogAY7xNhSieBPtZkM6KfAcsr5hwlm8WxJEsCVGgLQPUEsXpowPkRDHyA+1nNAeEs4maGsuuP2Pbx1oEyoFn//FPiv27htO3EU9fmFif8tyih2s09hfnzPAcETKw/1kxnhqefxMxv+UYpafIdX9oBAlngmLxKhh/jmviFbXH2mUPxG/ZLpOfJyALlvuEOAeUnYENi3C+Ali+FGRPcJsAWRCfo1VImeSdomI+nimo9jggFMG8BMyDIn5MGD8F6L0i/u4MVUH7YYd0FuSHhvKliealhnZKGF4iLciKoJzogV32G8AHoAJygCkt6y3YYu+rB1bq3QEAQfH6qxe8PZ7xD9dvEC/MW4rR1NrI6qqPX5jNLk0AvSsYDxn6PmH6xLYCJrjSQUsNQNspggmRhQyMz/z95Q2AqIi7grvDjDkn5MueY/nCKnvdKdqegOWYKpoC+XwErgHTNwt+8+oRc014nicsRdirfA7Y/cxY3cXb6rIdjH/59Zf35C6Z6pg19b5ADgRRMSnmkdp4KANgpQnoVS7+IzrdArCEogkPlymtB+eW1hplNXvfBrbFVB7rJngDegCjbjjdKNffNhWn3lsT7eAQbqbbvqXcTK2ZP+KGvkSEaAGR8PrCQhU+2dHOwikUrQIFpCSNj0J/zHndKLpQltPpTI0vzooueW9Jh1dQRcFgtZEWC0VH/AE7xPweovTKuYtm3KDfcvu3q2IDtwiwJ060nlgP/y0dFhVQNEP5Vmou+3UFvWLiyWAMrDhMkf1cFiTHCwNL3RxqvDism27gRUsRtEyq1DUShRwTUaM/nF7jUv8N/vHpLTftZnSW6M8aK0izEYOS0eZZ2w4UsK1WBGMKMCiG+cuu7+d4fJYYbBM2wMYgkk7rlfQUWRkUATboM26n92ZMmBQB6L2JpIPx0G+myOg2NFsLD2l20Fclmu4J1aanexsseiVtS8+TajYyFug4hawjgT24tufnH23DT9sv9D41r5CE3Czps2CxWNWvKrqAiVO9q/YqrGCDbnd2Aul8Po5dQC05PdiBAel08E5VzKaeavT1DsQ1xZ+1VvH/9qS2K9SGvnf94iXSr9UrKnG2/QlGEweIkJolgsaAqwA5NuQa8TKPeDntICdaQYSK9R7MyxoxQsLmGPDk2wWM/BqbEi1v3MA0BhvrtlpWhND34H4Pss5hMYaHDolMH5Q+Np314VXDTsHnRqPjsFYm/5xI22fL0gPWMlkSkIAwOkOGz9Kpqki2kW/nsaIzMH4h5NGMzZMVbZGu0grh3t6Bo+2aaFwT/rPOlqgG4tgeplE6EOYK7PwPoAua2fykH7OBBVGgSJ0Zsu3vbuY13KbYle3Dhmrf71dtf91ZD1avAvuGvjlLxOZyNmBH1z5bcaAkRXgbACDQDiopzwDxxD0aIGDnmH2PWw8SwLTxavTbvI4jSglQs95rl4T0EpCuwsRptr3D2RQ2t/0VTJDInydt3WBgrbGJvGIuPpd9AggUXq2D0W8Dv8arK8fReu0DBnduUHtuYHyjEjqDx9lfPfGEdGZNF7/csGmcei4VpOxP6CJB3R7HbD/SeZPMunqT3UNzsUGbD1I3No7Aes++Tzc7dha7LlCN1gH5LkrU0NtOtoJO7giw9idvhM9sznW9iCQoA+fucNb1ObUVUHK1ar9WVRM0Umxow9r3Pp5L2q/LxxOQbsXTbc86I9DiS58LN6wxi6Vsn98KTLboAOxn68zHszIObXPELCNKiVhKwnwdgIXA66fTHtlo302B62VkUpL9vHYQ2NTWN/ZvAFmE7QDMxqwKGcBZ0N6NFHTbN1q6iFUNhYki2VrSr1fngPiUcPyjGBWZVcMymUhUCBhe1nkXlBT66xtS3ocXK/JsRUYFnb4OscrtjnM03wUsD856USACKnqbaEWwzcyAdB/TNiqyiWWV93ub11wL/XfNkkxsnvrc1hyAqBSOUrMYgxr7EigvA/40vDKbH35W8Gr0VXo8ml9GoAHTc0C6MEbOSaEDCzBbUam6A/ID57xfS1gMxNjrqsZt/uCkKdNRRAOAKtCFxbZwDdComHPCOQ/U8XlQlL0i3GVoE9SRYEK8OpOIAFTJgvA4YMkBA4B8R8Ai3yv3X2eYZrGeaDFhYb5XxZSba0JOivF1RW2BY2k2qMzbAIwNEOB0HdGaAAvp1q2tiysIaczpYUHdRdTnCXhE/5zPz/x/6fWXJ7mfnlhNTBTt0WlckygTvwmFPPC6T4hzRfp0IW1pIvWKQloCHQRtHCFNkZ5mhFxJ9zkOPTjbUuR0iAxUUyAlWq3HtlUKHhmli+IdFHRQAWRpiFUhRZFOFW0MuL4x+k3lhlgHVlo1AFc7COLFgpI7Jf2nMulzWjFtergRhpkVzjZGlGOEiGA4sa+17iLCIaBdgeHE91MREhhfGsanCk00R++UpMANOi6bg0+1C3QBdtDmhvA0k4J2nKC7tcIVhHRVNRqfbzIhr6g+4Jv++tJE6k+oRsvSdZPiJh9J77qsdEP+oqIbS7sBpQVMcloA6y9ToybqkIAUUO9G1CkgBUGy5Gr8cIGmgPnLfe976fSxDKAJKhRIQJgFTRmkXKsgpIZwN0NE8ffff43/+EKhKSnCaphVHAkqCAP3JUPaKjylu4nfV1f6N4BVNTQXnmXjwOpGUnqC6WbOtk0v6WegTU+SzL6o/5vPcxOVEReR8crWpnIDWGBaFYoGSLLKfEAzo/vljlWCfCd2z9zwOQ+w2fSJ/qadIGZSKzsdz3t9wTnQXFDOk4d5U3VVe48DE+KBPudbTzpgh1bwfnO7d0uQ47kYcLXSHr0vOTgdPgpaTKwoX8kk0RDXMQzrc2tDQH4goyTODPpb8kr1Goyt18mEa+1zZ+95t2zxZ+XKtP68VW6fsWrvccS4h+6GTvHdvnqlQLnmNVCEoo2c621Yn7kHvRoU7RxRgqIE4CSKeA7YfQzcO2ZLFHKFXi6MjsfhBojRnEktBpiQTmTBIAYT1Fp4/dNAul4WyHnmWO1GPmCraPfxDsKzIYAMjiFSDOe8WR/VejrH0NsbUBrk5Qyoou0S6t0IWczCyfZk9cQP6GeE728+z8tODLxEPxhDVUyfhNTPFNFMgTZslGidBSDYfodZjjS2jlBtt3Wdie5fqpsksSe6nPvpKiuzJ4CsiWuzlpiVUrxtP/HvlqrQ0YLxpSKeF1K3TbzPhexo3wNjXyRoAPJ9sgpyoHhbVfbE2rkahNoZ+mZHRX4Hc7wtqIuFtV6p73uPg3OtANfZgDoxZoNXkFsHbghyAG1nnukWBzhwCguY4ozu6SnN/1twzRPKYbBAU5GeIvY/C+IF2H1qbD0pjbT8P/NKLxlyYJWNloDrPqWDoO6GzfnY1rUNQEQ7uDy+WI/ZPqCCVXVRoOxJTx1eKnY/0tIlv2LLTbyiV976fuTgfjNxvRlAI1jBvvxNsu17RLQ+SFWKMO4V5aD0pQTvR7Jg92NEutD6BaJdJVx0AzRWQSza24A8MWsb4UGv1AJsrVQB9LrO423LUK8ELzxfVg9joEGQLq2vB2zOcoLlHNvldcJyDBhPDcfvF1D0k3Fa3dO2sccBskl0LNHwvmPAzrQKpGuzBHc9n5ol0iubAYiViYh64SI4gCCraq5yr1leDf3a41URr7XHfnUfu92jt+asvfeWeD0ltHNEC8BiyUQy8Z+zHnFOewNPFfKcMDzLClj6PZ1m6EQx0G38dvi54el/AuZvM4aPCbufBOMzcP/PHLfnv05YTJiq3jdoakj3pJyU0wBkgWTa4Nz/XvDr/8sfoOOAP/yfvsX8RqF3BcMhY/l5h/3PEaFQGFUjq8aXb4HhGTh+x2dd92QC1B0TWCmW6E/A9esCDIprZ6YpE86h4XDP+O18mtDmSEbaKKiTorziGoynAMmC8qoiPixoP+/w6t/z/L9+Yd/XTExuB+hDhlZBLQPcxxnXCD1UTPsFJUWUJUAWJqqSgfHnCLw7IoxAecVzaPeHhPEZ3Rc2XgXyI3uNDz8o0tk+u0WUu4ZwZ64etmaW14rymxn4NGD/faQOiVk+zV8p5KsZLQfoNSKcA1mfGZjfsE8+LAKtkT28F4Lel+MOrQniviD/lp6037x+xrUkvHseIC3g+EfB3fe1x3Vlx9gzHwLKUXH5pqHdVRy+OKPWgPl5ApaA8U8J4ycYmMMz9vlvGzQp7v4hYv9O8T4NOP41hQGv84AiERA2FevUsHuYkXPE5cMeqIJwYZJbK0WmgihSaNjvM/72zXsAwL99+jvsf9pqNv3Zrf0Xr788ye00PKK5pAjhtjqo2nsc1t/Rm+DwFy8/OL0natv/1SnMYggPemDxi2tzalb4zCphWxHebNKdprwXFOOw++ZJwSRAF5bwqRItUFHEyQ70ZijD5kBytNVtaXpQoWKCF6wANOuVCdntDLRXUFu8Df69wtYrM4b6fj6eHRm3KourG6+VBq94reOin82KZu/X9stnpf4727z4zzzTLszj11rqGtj6y6m1HfGTtbpq1jnrB/pBZX1LQoRpW3XRSvSzxYBrVJShop4TwimuvTkZqyBGD0bt+tpt4iGbebftdb25T5/THQm3idkrMrL59808dDEjoNMR5bMKSh/bbXD5eQXR3kPkfLMGLXEj5Y8qfww+2BskxX7fAhHv4XFhlTBa1aDq2r9qH75aUthXKQOirloqQPTeXptrGgF1ypOzA0w52KnJKlw3N2qQPgafb3Dqi85eHSld9xHvZ+Yc3yQakfPkpp/Jvy8IIH4tYvOu3u5h25dR5m7mxTYR+M+9RDoD5vPxlCZWLZQN3Q0dGW0WcEn1oI/jEa8EKcKCzgK5EaHzSvXmGv7Fcd6ABJ3u67Tjz37/FxYuAej9yXL73psxVF0Fw7YvQ9q3L99zWNVEn+Ou5u9CRprseNqMa6hMNgD3zDSwpWLdCzdB8u0Xaw9WCfowOdYGBN+MnIq4vZGmnEOZP+iK9lbNIBsHcPWzjla7LdKG9bHdi3wsOjgQWFXta2071/2PUdv6dtTs3nVdp2TlGPumYQVDPp8jn41Nv8ba7DkaIGdVpl/Ym31+ZjVwLHv8wDkeigNoRjGU0OmJ7Dffsp1sH7Je/f6nf8lGcK7/mwGmAlTbC2QzE28Ado9NfE9wpoezqrDON2+h4LrzrAvAZr/ZAiI3lj92zV2oUAnG1cHZOStQ2YUYA4wJRDZO3fN7u/4BwCqironedu+LedUPYWuECRNW5X6h6GBtBWMwF9vk2gIruWa15MFZKFjH6ub5/5l/7+errQ9nEiV0HYmt3sP2GdZB6LSw7Tb6M9/bY1S7zxtW04a51C2+/Pxruj5/23P88xTYMIKkV5E1ivV6+rWAwkTqSYpfByn3YeFzDNdACypTrw1ZOusjeNxSQbAVwOcMry4wZHNIE6BeLAETsngNVMMdWKbvo2TMLrfeQQP0sOse6kLCIEJsQGT8GrzvufH6WW005mQg9VZdXG7kNBWjymJkn2a302wCF5qrZlklgZXQtguomUkuRivyFAESILuKaco4DyO2tmGA732Amh2ZRhNz9Wdv1+5WWa5+72Oxrhe1Ad18ttFoAVtfjePfBr6Jz0vgVnLb/ThE7WeU2lmgADQphqEgtwRFXL9Hee1u6SQmYtWmtbqbl4S2RGAJKEGRjfWiiSrqmpwlQ8FNF0/0yrrPI7cOQ10FRDWB7IJmwq1m80bQVxFnwcfznjT7Svs/HbSfbSXHtW3Svkstycot9kQXwCoG1s972/P+uyW5KQHTyCqcV8GKIrzQYkB3IzRGBAsKg1EMvUdGXM3Sk79elYzAuPbWkgbDgCosrBi62TzRZhO1GiKAze7W2DsWmiJkV+ELrAxMkVUu62mpo2D5llz+/KYivFmoJHeyaoblK9P7iPFR6NRgxsl1iuzpOTfEq0Jlg8jn1nuFqvX1xNl2O0+aZP38NjCp330gF6DsqN7nRuTeOwalImAwJU4i10T1ASCeFx6KhxH1MLGa7hVcozznY0AdpYv70J4grJv95gBi0Mdd0IM70ooAbS7EIFZNp8CIq6nqxB6X8Gj9eq2xXyqymqRxE+B7dW9D1Wu7oVPwQl2DTLWgXyowPvL3ylGQD4b8L7yX5SGhDsC0YLXtsF6h/c+NapZn62mrFTovNxZCFDir6L2yhZUNJBcYsqA+F2NNW0+cg0C1rT25W6EzUyfvB3UDutqyUUpZnY2dingDDjVT/vaKONAtdWIK9pwTNEa0PbDcM8FdXtHepO0aMFVuYHO04ITCEsMoaKZkWEei/FMFRBt3YKOpO5PAX755ilkuMPBpff63Idwksp1BULnQw7LSKVfxMkDHaKb2Chi1jPYpHH8pVuWNgnYYDTCRzTWJUcjCGvSL9QtPa7JwS4vjQSUS1+rZAqwZwi14J/Ny+3z8R0G6mFOnP9cKOTfOnxj6OvGAOCzVKuC0FCFCrnAVRU9aW6KK6A3V1hIcKejU7+HMfmtUhWxF/DYv2U1kVxhTROZl3a8BY1tEoFaETyfOX18Lfq/RxKVU1+ArBOsRbbRuMXBNbA53obVcSM03yqyzGsKcrZoYeuVPh02Fy6q3+cAKbjmYsN+e1e/llSK/rqycVAaL+UjRjfFRMT6TpjmUCkSzFfO9xhJATz48OJZCBW8pXg1tiBebr1YBci0IBr4E4aLZudAOq7Bq7yJaPlfsucTSEF5sHzIhKJlpZaZDRHnY8bmZF3q5G3uvoPuGkq5ta1LRvZKd5i8VSJfC6qKdRcFE/1Da2otre5ymwGcEcA479d1fkynqLBkiQkZACOabO8EBH1FFWAoQzN7PqvNu3+PAo7dVePVLTbGdugJiLAfg+FPt9O++n5qOgrYGLatV1vIwYH9RpGumHcUUIblh+ESLvPJ6j7pPKyhUrQ0oCOo+kQlyDFjuAoaLYvcu85yfi82FESFHDM+FsUkMkNxg+kdoY0KbIsqB4kXDy9qGoQY4ajTQ1hLHdKqIS8PLb0acfiM92NOkWL6o0H0le8hBkqEBY0P5m4wCYPl+h907F7NikjU8c1+nOnNEyIrpU7VAlvtMKaSctkhlWOphcF1fvggoB1lp9wswPbW10qgKnGxv2bDG6s57cmkJ15Kg2V7q4nHpRFabVO0e3/Mb2kBue1z9s9OVc3B+bUw1fzUmiQ0C3TOQn54rW6B6gisdzA8LtWF0iGQkVlp6ATDhzALcjcgm4hjMytHZI+VAlpAUIF0q1XEf7LMLYw4tDgwI9IwVqLO4Js6W/MxGS7UkLM5MGOMCTB8pgpdeMs+PyD2mbdr0Hv81kJpg992ANrE6l16CsVgUuw+KdBFcvwSWvQJV0H7eQSowLKuoULoA+R74+//zl1yjL8Dhh4BLS1giwaJyZCIXzPKGDwYdjKmT4PSbhnZokF1FGBrKhxHxe7YgjPcLdlNGqUyM8pLQ5gg9JZQ/UWU//c0Lvnx7wvwmYSlMhuhzC+y/zhhToTczgPJFxOO/OXT2wZrAWStiEcjYMP36hBAazo97yIVJ4fJxh3AN2P8YboQfPcmNi0Cf6LebXynyK0voRwWsolonVmmdxhvNJ7eZuBQFwGxuZgJ2+d7bGu0sGBumsWA5j4jPnG+n3xrLwBTN42PE+DFgea24/x8+IMWGn797Dflxwt33AXd/ajh/vccP/9uIMFXEuwLcFTyHCfkuWjzPPTbfa2cesF83IT/eQRQYu7CYYnmrJgQqK709SweZ9j8JLv/2CypJ7xUYFOHLGbtdxundAfJPe+hRMXx9gQRFnhO0CiKAn57vKKI5ZrQa8Q+fvkAuEfFsjIsdsLxR1OtnYNm/8PrL1ZW958Urci6sMtuBEs3ipAhCaL9Mv7eHY+PhCqAr7N4gnR2RZTDb7TSUQgwaTAUxhh4ciworL47CQHulUJNRVTd0lHynKHcN8nrB29cvOM8jTm3PoDbyM8spdKpaM6QT4OQIWawytSaiXQk3WHChKwWKSJCuKIVttqFQ/ARNkcBqpPch9r43D7gaqVmSCzQktDQwgHDPxMNIcS8LbrbIsx8Y3vNEZUf0ah5gh1P1e1xR3f4IDc3kuPuzJOqmEOu7Cmvly3r+ZFOp7/PHEoCbipP1xtxQmpoigJVw7x1JFzVbDz5TKltbwKPc2LYV3HThoZyuFL8I3ltofYc3c3WTXGprwGyUvF7VCKRQ1gaVaiDOGvj7W5xWqxtmg8gKdIhzwcMmmW0KkbYmDJskysWLgNgBgv6++vk4Ej1tE3qCK/uCYVfQakBNSvpOCmYnEGh5YAEnn4MF4WGtWKz2QrJOab+3dgteBf9d67F1hHs7VMEVKxX9Pl35Uj2X21Rme4KlrDppNLGYDarde5NTsD6ulf7XHBNTB711TRbt89Ug/5sq1GeoOWnHDX8uyd0Ce922w54TrVJir3Z2WmTbjLEBS6r0ltRoIEKBIcXSE4Nt9d6r6ezrNVEWVa63PweFbgSefB3eVGU9QcmF7Qb+uqn4AgpnAdjQ+mca1fvPVgBbI4Akwjksm33BkjidEgADN7ySYn3UbViruOw9R+9nqntFfMjQBrQcUbMgZyaAYVm9CL1XUY3CiKWx2nAD2fN/ujKtorMNwlIIWk2xK3KKTXCNkZ9j232YC/3Kx7R+3+evxn0dQO+3c6EzNeEp3Mwl3nuQgOAOB77v9yTathjrQwyq3eKMYAzFkFAaxJPYWiGI6+d0X+iN2JW1W3QroZbXf/e546rn23njfe02tr39x6i/3qvsPbAagHaBCd1wDQ5n+jR3Jd3P51at2NJ82iiQMwFBCQJMBJLkOjPZPE6kN5pehPjargD2qY9rG4G2EMRzLRC0Ro2OJDf7QdfF2LCVbnrYAbhdFZP0TeyjTovnMyoHozsmVtD0wH28zAl6paaDRNqLHQ8zUmx49zygPa2+sVqonKzVK5LGaPBCgwZW1CP3F69Ex8zzEgqEVwQ6HYBIs2J4YbJO0c8VjAN4Vjjg0sw60PcosWDZW1vipSFdagf120BA3tl2W22OICtTj2rM6LY2sKHUzZGsIgjVBEF9TlvC63ZdEAEmWHxp35OrqYWjU7lDbyHjNTmQFINCTtoZfPyCdY8OvUcfcGZeByAWB8aA6tYwESYmxvcMF9LyvX+4M982UyrfK904zkBOQN03tmjZtsp9T7G8WkHSePU2DPt7ZqyU7wTtby7QJoj/YY/0TEC85gBp0quYwUFgP0MtPmwD0A4N4Zgx7gqGoeD5JUGFZ98wVOzHjMsyQAQo3keeBeOTUeuD4vXuwuRWBXNNeLpOCAL86v4Jh7TgadnhnEfspozlIfP6ZsY0LQFi4nUOBt3tZ4yp4HoZ0a68FzFBqnSxM9bte/qewvOXoNdaBafsc4AuLLHW+0qnj/eDtXxZkgvcVH69qqkDwZgekwRFtEpmyFzveqz0qfZrkWi+0IrfvnrELmb8/N1rxKtg+qQ4/mmBhhHPp4SmguFuQRoqLseEZXFmBuB+1hqBYAl5aExkZfMsy11DuyssjJRNHFvXPCpdFPIzwfdZAezpQ/zl3Qmnnw8Ynvk800BVcW3CVgQVzHOCjoL9mNFUcFkG5Bx7PqLGEGh/hjH6515/eSXXE9GtemGI0Nf3vCDb0KU0SJ6pHnshMq2v7qBToPz5xcQELLmlbL9v8ug0W5b1gN6Tt1GpJa1KrNJkCckQqcrsm2lD7zXKkT2KZRLkbkDPZvxpKtilAlXK17dqFDoVlDcF511EvAjGT6ZaaJtPS4KyC1TOtGqUVyCdphxzQ3B15n3q9DFSERvSYqI6fjAURaj1xlu2jbGPr3iwHWQFCkwZVQpR/5ACgMhFJei9hzGvfQrza+nBIgCzSrD3GxUlFPrmhlnXRB3o1LCWArBLkBrXRGwpiEtZk6EUu6DUVnHYn+Pw4dwrOuyltABQWK0L4gEhT5bhmQc+FZ/RRXpCVqv8mQ+YcLNPF96zi7/4eHShrhQh43jL+S8V2hYGSzFCDnsmuRsGg9sP9UTBXm03wunEnd5tB7xOhgZbD9xKxY/AfoTTX32twQLxnvx5/24iqwGi1uMMtMOAOsXVAsMOMQBoEw+bw92ML45UIGwqyC3gw9MRJUcskX2XYWHgwIpgNFBAoGaV0C2SbL4HeNBjfX1q165Wpd1WftVAis3LKxr+c4igmjhID0CidPqOaLV1YhXwgWPUhoC6N3DH6Pmk+nG9uTJlF0exqlsosoq/GNMkWA+/NKU4Xmtm+msXHUCarYM5ta7ggicBHZDYvJzWmQtEI3RoEJiX62A2ItbuAJvyXrEIeWVfDGc7JD+LmT1JCFUxvLASxF7iWyp+f2U72YIF6I3KuFCLFn2+O1U2Reh+WpPi7AIo0QQmUtdo6LZgZR2HPhqqCFbZ1SGtlcLPx86qHwTxGFhUoHsQuyBJ2TGAKHdKGuerjNd37I2sKqg14DzsURYyUMqBPbZlR+DM58TwDMRcDKiTm4QyzpVJzWdJm7QGeaHCuu/VAvC9m5sWZUUPUbhObA5zLVHUjKAm9yVnuijCuuf7MhliZx1oEGu3CT3wduCvAx9eYHdP0d1qJSeq1OOyBJW03WhAk01Er976cxwSul2UzWnv95ZcEE7rWpAU0abxBmgh06CZ8jt60A9VDAu6GFBYODfTTIu/lsgwirMFxI3KtmJnJW3XRsjAPjR/7X6eEar1wWarhgFor4/QIMgPI9pkytVLY3AZV6puahVliQjZaYkBYQTybgcV6a4F7K1/xXk3OUihnfY6flq90DWaddimjQIwazvbS9rIvsfhmdXVfKfAoJiOC754OKE2qk4fx4xf3z0iScO5DFhawseHI5ZT6HRYzRb3jJaEqhj1m+Pk/eVcD3oj8lT2phcwK6bmFMUVKG82T3pby2e063RtUFNHzccE7wsEsLavNAdtImOwQTpDwyv4PWndCFKWw5o8GH4MXdbk0ls8yi72eKw1QCWYIwBVw92lY5s01v0AGWPXS/AeagIwzdhF6OBnPqY+DlxrtgYVCFeurXJkEsVk1NamFWQ8SS976bYv/opXRTpzn2mmkdAGQdtQdOPMHuPxWU35mazEy1fAXGUF5zKQ3idQpbhBmmB4FgwnVs4uX5MarD/tLAHmtQzPAlGCPmWvCIPZylTbO68cp3Jggjb9FNGGiPmu4bprkBKwvKFicj2PWBYGKqqCOkfaglmS3xIgKiiNzgFjrEihYYql3++5jPjx5Q7PL3u0FlhoEfbruvCrRhY3xp8S2pDw7hohY0McK4YvL1jOI/Q5WR4CuHJz3a3zbZv0ISrcjUHmiHARCsoGYX+8+SPHmUWGcuacWF43lDsm8PGnkQzSewN6zDoITXCZR7beWXtZmCpibKglQGtgst74rP/xw1uMqUCmiuULweMQcfr1DppMJX1O0A8JWYHdhdfUNVKSWUtFxXAyJWNPuQZgfq0E5BsgpwS3ZVoHBDj/SnH5Fkgv0n9fGveb649H/P7TDvEprTTtQOA+P4+Q6zpv876hlIAYG2JsGIaK04HaAyEDd/8U0OZtheFffv3lSa4j9JuDXlPodMGQzTMxZya3pUJPZwZR9wdoGAz5pK1MuRvgYjk3KKCAlRtf5E0hqB2N6ZRf60VxBLZNCeVI5ed4MSn+YlWBSFprnbiB1Alo+4awKxiHgn3KCKKojQsrZ5oSh4cGvRfkpxHptHp9OopcJ1csto3di5S+ocwV8fkKHROT3E2PLA/psiLbYFAlAIWH8mdBlT+D7csq3R2BzxVhsUqjEkn3wIcWAYo6RSwPsun9Qa8Ube9hqx4YSoOr0vI9FkyNidecvRLQVmDDhZX8EBxW5ewu6vP4gvbpEeHtG7QvXzGAtXt0ZdPVexYYT0bF64Gb9W4ZsqyBFXYEVnanR76xU2GN0rfS8SJkGm+eAWoDcmNysI/AbiJi5xYp89IDNu2sBnCDMHEVqa4IjC6g0czHM14o5sHIV8kKd5Tf15A/awcPmgnMuD2Ur8PAtVKnaLQwQ2n92QLA0DDuCr44nvFX9x8whYp9XHCpI/5j+BrP1wnPQVHSQLl/YQU0Xh1lDEhqgIfTNw2xVj/Ii3Zgg7ZSwkDfaPUtBYsfdGVq+Hzf9kSFADidU5XgjYZ133ExL1O3Vl4eNBlAZb2+pCuj222UA+d7uhjgsWEseD8V7JGw8ly5dgbu0KGBFXZH0IPB+f06TKjK16eLrn2e/PYqJiDVDoDBEl0B13IEPNqKC7qtUlxar0h36vd2O1BPZEy8qzQgF/aOA7f9uAC0VGDc9HyahZAui43FbvVNDVwr7ThZIGFicmEERquWe/I1UkE32pm8rTZ3to6DcwZu9TGzxFI+Awl8LUkM/X56T+7I/TzfKXRXsb+f8eXdCQEKEUVuEe9iw7wkzGHHRPcsQBCqR5oPebqse5v3X0YbG5/LOkWzjeOe0ve7XIC7PWSIVuX3hN3uIYr5h6/JLQEIq5C6yJ23QxhQBmfI+LOzud31DAJBS7euWdeRvb1IvwdXbN4KEUppSDftInQH6Nfh7CGftwCf2ZjsrCeAKwDXRDVbNBcks3tqKVi/G0GteHEwdm2XAVjRG870kQ3XDFpYkZbNVqONZkdb7X9IozeAYAzQDfsovT8h7I7cl3KFLAVtTMhvdmQC7Gk9la7rHiaR1D7aNTUK1uVVV6OGgHKMa6+ocIKXA28m+OeY8NNwKkiPF5CuPTDJNYu33hddFek5sy3BAEupQDoBdU+KqAbg4XjF7+4/IUlDkIZvpmf8747/hIqA/9f5d/iwHPGH42s83Q1oiyCC9EgpgmBidg7ylR0Tk2pg93A2cAEBMvLf3IM3LvS5TdeGeGlURN6bJduGVdL7lL36OXPe1D3tm+Ji4mttXSeaAloMqGNAPvA5lx2rm729Cxtgb2dzfwJaUogpEgdPRjpwgt62ErJCLhWhn91G7x/TTaW9f4fFUHXcVLCtKBE/AyvaGDC/4vkbNxZ4zoxi361VSAcAJ/MkhicHrNaGopgfIhZP9gbeQ7xWxDPBGR2sfSMJNjU+uM/xcGJiFy9A3QmuX7Jil04ce7Z7sSo5PzQyhhYWEPJRMH9Bl5TxQ+hFHSjVm9OVlfP5ywbN0ud6MLXlchAsD/z/0wfOs/lNRDmYD+sDwT+9JDSJFJsKygQ3m85EZHIqAKoGBKlIQseMXcxoGvCUd1hqxMt5h/xp4ufs2PMQZ1Zl68hE0ZWFNQJLTrSY+t0J375+xg+4x3JK0Ki9v7vugHps8N5oqYLgZ0NUftcSILOYHRKTxjkH6NT6845XiixpYpW3Atj/OODhnypO3wSUIyyGNmZCEywzhVJ1UOjYMI4FKTVc24hW0POPsAhePh4Qp4o4NMg4I37BJPH8tMPwh5HXdrKinLM5B8t/YOskcJ7s3rfOVskH4bPaN8RL6PZuXgRzRlz91YzD/YzzH+8wnFihd0Xm8V0EhKCF6waIMMkNp4j0wp5faUA5BsxxQhgr7u6uGFLBy64i3wn2Pwse/lBQLyu48Z97/bcRnkobU/rCoCRcjMq2OXw0UWVYHu64sR8n1F3q1SDa9gSas+/DRogJXfQlgEGFV4fXnla5CRq4S/N60nmtWtCmiH27bdwEAZakuv1MU4GIYpcypmNBg2AuCVUFz9cJ8zwAqZn5shiN1yjUFmV7FcU3b+8JDHNAiKxQupx9r7QBhtwb3VgV3Zd1K74FdEqy5LqhjGKldu5GHvTJgxMG8+yPCJ02pIFK0mVnH2FVjLrj5htnRbpasGxN+BQuCSsdtVNMvc/aEtxc+7Pnh9u1bBIyr4z47yFFyH63Ujhh71GBRAGqoU9+0CkR0q7ua8FFXEhhc6pSD1q21TT1iq5VhrwCFxhs9beVAoQBCMlEophwdbqe35s9F/aKWv/taAldFYgdgHW/oV8DcCo7gA0rQuD96l2RF+hjRxq2ksrpwa+vA+t5k6o9QHcBDTQAJSDniLlGFOPGBEkoGjClgjoJLvOAOpB2yT4N9jtrrwxRtCdm6f1HNzSlTaLeRT58rAzY+gVAo5tkwKvYUREWBqnsI/T7d3CEew5SMKGHtdXB7cF8nntv0A1VKMLsLNY/PmeYTFqC1dS0BWyPmzPBjyBrD+qWnhkC0AxoarICO70FQzb33NYk3nUNQusAGIElHrBxoX+kFPvjE1lwo2HQq+wWvPp/31zjZ3RJcUrpkAjc1MoEUgQ3Ih4xrv25qoaQC2QcmPSNrEQXY6p4BaU5SOXfp4D7nvez4nO6d0D311UhUKIiwBBuaf+V1STvfXNRDgXQmiDXCBE14DIgxQodgWWq1F4AsFSizqMKMCvqJCh7r8Y4kMMKn+MXHeRzkEED/YTtXNyKBvX72c532Np3auyWzu3zTTnHepVoAyyTAcW5v9xH669ck5Q+PgYMdtaurHuOV6M60FjZ/iPAWrWtFZJ1nb9bACeXFRjZ0uBFbuecU0N9zkfhXNpQTztN34fLrMOcmaXGeAq1oS0M7B307KCabPq9AZ5FbUOvB9Yqe20E3gKoHSABahTUkNWS2Ns+z1ANGLX2nuWVzRF/i4Pum3/rNFxhTFOnCLkjC8I1A6QoRfqwxgPNwC5W27l3xaz0tzd12mpg/xQK7ocrXqULBqkIaIhW7j9MC073GXUJqDGhZf6+boZFqquR274pBvzpto2CMYGfc10LAOAemXUF2jbz/kakyd7r/cYeLGswAH7TTkLGGT9MTNnYK2wOaPG7/TPWcW+Mq7tuR+9tzXTWCLavC0D3i4XV0VAamjC+IbXZAYrW96yQQ287EV3PWY6jxUR+3losKMZcCoU2VyougLfqQEBBAFVhBR/GluniZxavp+4jpI2Il4Jo8fYAQMr6QNsIzK8Z7zmVtEUmYGpj1M/GBDvnGUucf91w/UrQUut0dor4CRZr/aqjQt273UKU5YFJUTRRT03r/GA1dh0P0mItNvQ+VKuMxkV6e0I+KtrUcDcUBBCkzC3imBZ8Pb3Y1BNcJeHheMVjYzUYYPicXzXUnaznO7ZzDoAoyrs9fv84IVwihhfGSrQn0tXKaDuv7ZrF6P7xJWB44topR451KEA7k9W0vAar4dHi1JfIfCOytz3fiY2xoh7dOkkpHmUioJIFy2VAjop2jUAJ0EAgou4JDmgD6mUAiiB7MnkNpqpuMY4qNQ0SE/9ysOc48PrKEZjfuAc72WPDU0CYGbMrAB3VGC5Mvl008fw8AUIdDBb9NsJeokjngHjm+M4zESsvAPZ2whmIHxI0JTydE5AUkgOFUrcWov8Vr788yQUPi3oYmCSIJV2fTgwAvVIXAhAj2m6C7ge0FFDuB1JjLcFc+6pII66DmXYvPGySKgPb/QAZE+JppuG6Wc9oCp3uTFEQVhOH05kiHXcjA69dIuI4rZt2qAAyEGZBjWx8T6HhYbjibw7vEUQxt4S5JfzHx2/wJ31A2UXk+0SqyZlZlz/MsgeWO1I7776riHNDOUbUKSDkiGgCM11owpWFQbpMMFphD/hV0cVbPIFpSjBhXuDiNQgBbU9KigdlW5GjeFboMSGbOFO+N4p2sD6/it5v7PSM3XtB+lgNcOAm36IAyexXZibZ4VrQFYFVIVeKTGmKFJdyYakN9U6q9h4XqZYQjwMk3jNJ90Qm0xIGYgIVBoj06qQabagoDeuvpLANj7QemD4Eo/HFTsPy6m+8VCYz5wVyXbqtkdaVRq3LAux3kBSBxDkttQGXK1SVQj6JfV1aKjCkXsEt+7Qa1qt2ZBoAhoupaffeIABYK1OigJwWJhxus7Ttkewq1UI0PgQ0o81Kc6odaeR+v6EAsgjqJeF6HLC0iAbpye79cMU+ZVxzQi0RBaD0/8BNUQrpU8NJjEJoAl6qCGbHQ7EQPqNQFeGU1wqmV0+sB9rp/Jz8ltj6n1IhIhTrMbpo71uNFiwvfG8bBlRb220Ia3/mgN57X3crdb3bZxQAcGE37XuRNJB1cVmDBikNcs0M+K9GX09pBSYak3BaqQVWNpfcK0qkT5plFjwRZfVLVKF1ZCKWCbZokl71H2xpxaX1IMoTTBjbRSr3P9otfVYht3UitUGbM0I+o/yIcO7vBvb4X6+ABDIbPLFqCj0MqPe7Tq0FAJ0GMqemhDoF1H3E9Q3n1HBuJtDCSkh/FUV8ySacV3tytb0eUs+ZfMucEZ7O0CGh3e/W/ksRhEUxLhXSApaLV4L5rFsTXEtizzuAIIrjmAFklBJxVVJ864OQuaAMdJayqqQ6WKDBKM3ZepKCJVWCftbpmH5BHe+VU6/eemJvVXoXfMIGOGPQa2wBgFXraLY71o+qUZDvIuoouHwZumfhzWNVIv1unwKjqbWRSX08FwoVbi93iNxT7LmgVDKyUiIV2Z8PsK6FuLZrdIaOKrQUyDja+HD9IwS0w2BrdU24t3RV39fDXKApEBRXRXxZVpC7WcK624Qztjf4/qilsN1k8yzqfkA5pv75AFih9f0rSNfBaLuIfORcGCKfuwsN1Yl+oKzO4ibJ64mdMMBXAYYzAy+eDdOmdWZjlWZbZZ0irl9NvYrZkieZgFqFqg1AqQTmXw9n/G73Aa/jGffhgqvyOTUVfHN4wRQrznnA83mHvCTkNiHOTgelKnc0j84VeAgYwirmFYpi+pQhRZHvEosFdr3SCOrDAB8HeBwA6kUAGyI/Pzo4YeybtVjAz0znhjDSMqVCoHsX7lGUhwpRgcxMONyftyWlpWAhuB2KYjkGaOI1jj+deisFKrD7ievO216CsldeoBADOsNcOpsuOXPCBDbbfrBKu8VJ1msMaAeQXMU9LibepYCGiLqz/lgT8EpXxmPLkcWINJPOX0fBcuSYzg8U2rv7Y4WcrognIH4SyEYws9xVtH2BVx9RAfd8RVtpwO6y0JKhgknxu//5e/zu7iP+7fe/w/m7uw7oIHDMMTYM+4xxKjg/T4jfM7m5/qqwD/VEsSBWkz22RZ8T0fx+nfLvfc8OcHjv8fIKuP7rGcM+42E3I4aG07zDaR4R7hTfTo8YpCKFiksdcEgZ11cJH+cDfnq+o7rvPqM1wfJ+h+Epwnuim6zAx/3f04asDbzPcjShrB0TTwSFU4O3tHHaAzFOvvtDw/VNwPPfNbREf+D0EpDvG/LbYl8IhDlg91NAvDIhfv5rSzCTou0b7r99xm4oePfzA/CcIJkMI6mCioFJtQmEtqSYv6r04E0NWgXjT8ko01gTc1tLnuSXA/1566RodxXwJF6B+YuKcgyYPgjuf9+AK59FHSlSVu4U9dgwvJ4xTgW/evWEpoJ/+KevEX8eUfcN868zhbHGhhga0lARguL04xHxmiBF6CesglQc0eP3DDPFqyAG0ERgfst5Vz+u58p/zeu/CV3ZFzU6sifruJoBvHqAF8CA24SQ6uilOtxUXVrkv1FcZBPwK7+zW1I4HckrEr3JH9gK0txUfD3BcTRJSNsRQZ+EtQZcyoAxFGSNGFC7alsMDUMkL74kbg5lv27goujVV43cuLWsYjc3wkOG5KMoBKsKJ+9lc+3N1Y09MbcAySw8bsQ8OkU0sLrnlS8BXNnXrTW6cEXkIpPCZ+Dxr/ZNwKthslaB/LDajrn1p94k5wBurFE+n0IerGxEOvh9Fshtesh6pU/s98wChJ9jir2Gnoal9Wq4ek9nUUS0fj9Of76hA2/nTJ/m9u9eiV5/wJ95cGtBXLeIiE6fNJRSfBO1uWT5kzTt0vmwCpRXL/5/fXH+mQG3j7lVu32TC4ugDgHXZcBLnjDGikNaEMBel9AUY6pIQ2V/zMhgvAIIwdXI0T0XW7N5UwO0req5CHJj69TH1v/+vJ/x8yqeJ1bqAYP/vqxJg/9zn7NyU8lV21ea+yFP2n+hV205PfqB0K0rHInHZ8n35/fjyaRfG4Be6gvrWu8CSsCa9N88OyXA0Tz5WZ+pV7h6lcC/T7GyIQLZDq722yuInjTVP3P9n7+295gS6H8ma6K+reQBfY41q6w6kOTiTwCrikT7Q0/KpYG0tM+r+X/uepoAaCtjxa7Rqyi9pQWbg7z/LWgtYCms5MagTBBipR9fqohjRWsCLaH3P9UJaFegDqxmiVuomCURmqw2N44XBIE2NTaOgxifjbediVtLoN5+4ePs+6CL2bnuxbYtSAhetYHU2mouAW3YzGc7j5QFSngfo9qy6kwcf95OtRfpgMDNeu3X+xkL488xMrYtN1sGj/+8nxm8TqqtK1lbwFqd9eqy6L84f0W1i1Z2Svh2f6kNaBt6m1BfIppjgydi/cd1vT5nmHkfaB0FIXD/q5P93CpgYbGx873sF9fpf9Tagdb39Mqlv1qDaOz7E9f0KgLT/25ALhFPyw4f0hH7mJE1YicZFQFDqDimGac6YioDtRdGHjzzOPbC+1afotNqlUlQmaTTG2/GyRI3YE2Ke99i1V/YQN1UOrfDs0mKb/ZjHwpXCLcqZBu4j7dRgUFpb1i55pCN9rgZ8xZ5YR7zQYHu/GCxWDDXB4QAtTYij6XEwUSPUzZrUVpjn3xp3Or7uiYgSWs37ftSt6ER9iuHqtDsPbt+9mz+v62NeLF4Z1OccQcA3zOkVMjG+lCyAAcwDgTgFjBrLO1xMXqlF1EhkTdRWqR6cfUk1diKY0MYeUD2bSHa5wEUJbK52q13sD7XcuCzixf2/vY5rkBYYLZL/pmgIGYNWGrEXMmo9FeA0roNQNOAa014XnaoLWCwPT4X+6DEpE6yMRWNvqxJWZi6X2O2OtoFVwDp8zMfXZCJ7VnMG7wQwDlu9ORsRYLNM5GyDhXnMlgRNXHb1gJKDZDYKCwZOL01KnTHSaElQbKN067xGVeeYQ6q3bx8yKzQ4c+DbTKsCLsfMwLHpY6Csl/jxpiNTWF7RUxMYEsLqC10EECKQJcAJIpy0W7I175AMiAT4MLB/WLsfILFXgqs+WADxPr4yxTQbrzD/uXXX57kxgA5XRBPF+hhh/qwI1Jdd6xOzBlYZsh+hzbRTsjpm+UQUHYUP3BBgbrj5Ni9Z6O028VwkRttqotrDAimzOuHQHq6Aq2hHScidINCdUW+t/2xcVbsivHuKxHZ5TVR/+U04g/6Gu92RywtYQwFwahuKTR8dTxBRPHhmqCT4HLPhzt8TKQsmCpdHQXXNxEhR7Oj4GFQjwMPiJkouSyFiPFhRDkO6LS1rQdlChQ+ULO7KY0I+nWG7CbSyzKNyDUF1OOAGsPqk2iBWD4E1J15pfqi2jXgIRttL1nfECdadWGuLBgCrNpbSaG8FqLgIlQIVSCc60pxcyDCqU5OwR4iFJH3fb7eJrlD6tW6NrGfLeZViMWrb9GS13QxZGfxXmsGVGGpCOcFGgLKmx3qLmL8tCC9u1pVlBF4R5ujAIcdJBfIZYa0FRHFMNx6PQOslu53PAw319xtToSHej5G5P0mADXRI2n875AFw1kwnA39tUpCWoqptX6WJTbFjYev05dj5GE8ZwhgrAZ7JmYRFS/cZMaPAe0suOoe/1C/wN1hxt++eY9dLJhCQYiKcog4DBmnZcTzbkIpEct54Bwx/wbSQgUhAfka0JIiRdCzzq8tsL8K1gu/UutvlVZ/Md9jgO7Hdd44ZdsD5O2wbIP/wDnrGzRBKI51OdA8XrJgeGbPz/b3XG3WWQGcw1iFbDxwDoHP3IWmepXamBZ2rRpDn1N6IS9NSiEwktIKmHjQVIyxMGGlmRsds9Pql3qTPLnOAGDJrmzG3q5bPDHxityWfrwNrFUh87Jaxrx5xXu+WhUsRTIzSkV4PANDQn3YoaWA/GpAnQKWI6uJDhQAwPyKAeX4QtGyuJAuqE3Maita54HCRco4122qXK79mjSxD723aQQqgXsfnAvlBEO/2yKo54Rn7BFiw27KiKF11cqH3Yz73YzzPOLltDN6G/dIGCAYFmC4ANC1H3F8FsilrkG9CEQak0k7b8JSb4S2ACA8Xzkf9hPaNFirB/fQdhiZ2M7VmC1YiwZpXS9SFToGzK8T2iCYHwRtZG9cOarNZe2AllgFBzDAZ+DZml7IYtFIsZ1wycCF1j+MnjbBXeTZwPlg6vLTCBcCY9ls8+xcfXtIKyvHRfmaPVxnJOXaxeZ4Tq3UT873BiwNyfri2QdtSsFWfZM5Y8sI6mdJKdB5vrGEw5AQPr4g/lSg04h23EFSQLNEnJVroB4S8p2JHk3S214AYH4rmF+jV6G4n/PcTBf2/XUNCbVKna62OcNTxvDjI3QacP3NA9oUzD6Hvc3h2uB+1KFaX2VRlAPXGOAJkODyYY//tCT8YXqNafg1HnYz/s2rn/GQLvjd7gP+anyPfye/xbUMmFLBw3TFKY/4Y44ol4T0fmDc0kBl4gIMz/zefCeYB/ZeJhMQK7vIPuqlATNQ9hHLA1kkdeBY7N8XxNPKStCQsNwR5JpM06NOBMOCU0d9fuuaEJe9WYElIN/z8+e3De3IamI0b9UWErQIhudo59yaVM6vgonvKcYLAbHysOvCVlIa4iVD5oLy5R2W1wN7wR+vnX3R9yNrqdK96cmcF1Z5zSqpHXeoDyOkNOx+orBYt7uLI8pkwkN3wcAZ9J5db0NJlwqvYlUFpg8F47sT6v0OlHwGhpd1zZS3R17/4+kmXph+jqghoh6rOSasfY8OWLTBaKeBlODp9RUpNXz37jX+0N6ifRwxPAvqQaHfUKnbX/k8Il+ZVNX7CqmC4UMk1Xgmw6tXaQUdHJe/PeF//9s/4v/9469w/cd7jtvIYtP9PwZMjw2XrwMu3zA5T+8GaEp4VwKe9zuMQ8E0FMTQMGtCrhGnMuFURvx/fv4Gp5+OSA8L/u7bnzHXhN//6QvoJSEcM4bXV1J+X1GgE3cFYWjArxdgKDidJ+SnCbIEjB8C5BSYF+z8MLIY6nFlDUgF8h3w6X8DQBXphRXsw4/MY1jciAiLGOvTmAg7ClC1I5+3o22nnw84CTC+mnH3+tSp14cx429fvUPTgP/7f/w7hB9H6KHi9dfPOF9H5J/2CFWwvK1YvlRIWfuaQxaEWbD/UTG+NCz3BNCGp4Dde4Z0l2/UPJM5F5a3wOOBfcaH71fWXpsFpQHjQMumf/7hLVqhirUmUpvHp4CyB67fBpSkKOCc272L2H1QXJIgPTAmyu8HAwOssjwS9WgJuH5boVPD8CFh/z1Vll9+G1CvmyrAf+b130BdOZBeVWs/8OA9jTECyKzsAEx0jJa7NfSukyAfAB2AsuPG2h4FccsJUPRqhdpnSJCe0BA9rbyW1gC1Rg2vphll6ObSi/YqU83CxvYKbmRLQAkDLgCe5h2mVDCE2hPdfcrYDbY4Eih/D6CeI+IgXYOGiJAl1zNFS1y8RooyKIIhzyby4ogpb9bRbhcWEesftIP/czsOVdIH7f09wbUqrCYLcjpH3n4tKuLQWDxOHHAphmJ5vNPAnmJDNUNdhSIo7x6IqH523TdBtCeyMbJS5ZQyVXTFV68YAXC7FX+JKUn0vl+RtQUyV7htjjolrlRIcjTeKlwXo3eX1Pu4+yuykiO14kaB9sYuaDPcm15jp5Kv8006oua9oET+0XtTpDDDboslWAVrJdcTwuZBwm0y0sfX/w4gAmbPvyPlik6dCvZ9ceZhF88BeT/gEpWobVjveYwFe0OFagtYYkMtkWDdqF2F29eM20s1m/+dbuYfGKQzHDrrI2zuYVtB7M/fgjnUDeLHMZGwzvutJ64HyL2K7oyF0ZD/sUEl3FYk7MDf+hV7j7dXkr3/9kbluo97u53rHmhE61stdX2ONjCsbn22UX9WKXabHAH6WuviLNv3e++hbsYtWgLgQX/7TLzJ5+hnIPXqbWu0VE+KVdfWE7OWUQMqNFGMpUzSg9Ktd6X3QdfMObiZZvD2BRfx+vwlVqFALpAhbVg7/J+e4PvZo2tw2738SkDNtCioQ7XbDBBj5aTQes8urAcLyoQmjLz3tjCZcz/XrY5CF2Tyl7NefO7YfXJfrV09XkZLGqt9b6JnePRKpCPdNsa8cO3rh2rh0r3eNaEnuDoS2Q8F6Eqg2PyttyyWzi7yKm3brEuf2z4PfF75fW3XH7BhNdjPY7yp5FKYbZ17tBkrN2tIXF+j6qaiZmfbZG1J6pcn/Uzo/uLbnuHWboSnNArkUqDnK9fhZi72fdQq6XVcfYb9TNfAALXutVds0NBF1UIWBNuftElPVDtDpNIjWJ9PkLqD6ENf6xq90uNrnL8Xl4Y4V7RhwNaShhWOgHJNqCVgTgNyjXg93aFMAX+ze49jmDGFgmQLL4iiqWCcSONUGdYeRcM2vFKsiQF5qFjjiChQDebg0ACJPa7wRN/nwWrnaL+Pzcv2XNW1irs+JD6/1p8BWRVtBHRSeq0mMjFaDQTsK4PjbptWbF9PQBM+h2i+tu7g0ZIgbPU3klhbmXaWmYPWfenYOS8qZOdY7AZVyG7oVdpevBgTGTbFe7x5XlLgSXuLD+eJrmd4dVunCrksCGNCWBjbkqlm/bLevvDZ/pkugGaCzmJj4/2wvic4s0MDgECrlyiK8zJBr9HAGjIqx6kgpYpSWOFFpcaMjgrdV+gSKNx3tYpsWefv2q9OobT/+f47/Hi+x+93dxzTqbISGQLnmrDnVyo/T6ugLgElRcTolVvBtQ2IaCgasLSI+TogvlD35JAW2ktVWghJVBx2BGxnq3imsSKmim9fPeNXhyf88eU1vpcHLC8jpEb2c5sWTa90wuZX5hknBVgeBPmBAl3Dy1roGi4N6RoRZrFnyTFwergOChlbn/KogFwpaBveKB52c8877ocr/u7wDlkj/h/jv+KETA2HacFSIor17uKuIewqfYYj7x1AZ6eF2m+Deiono8e/MiAvqV2j6YJsxAB7y5sKgihKDWingeNrPfMhUylcRVh9VfQKcJjRdX/8OS49D7G16rZNA6A7igEDiQl2sr33l6HCn339xUmu7iZgtgAqF6q9edClyj7FMKHd7YicxTUJ8MXlNEKYIIM0IqT5XjB+AqYnNcW7aAcZuIFYkuXCAR25tSoP+36olAcBq6ZBzCsTCIsiLQ11x94GaVSbk0YEolVBboJPux3pyUGtl2vBcVhwGDK+ePOCOSc8P+1Znt83zKMivgSMn5zCzIk3tVVkqkUm6XUaIQoMz9EEVew6bZPbKlKKau8d8mCz3R8hhx0Pm1ygYeiCR2GufROEcOMux2gHJq+j3AH12EiHuCTOHNvMhycq0KWzIp0pfOMeeHFeq6blbkQXbnKFVICCIhFArQgfTF1hSCvy/zmdq1OCbUEuBelpRqexytrLqV4dVusF3n6ec/H8OmrD9GHG8BwQX+be96fDKmwFgD3Elxm9Ar35oQwJGMcbWhCv1ajQrZHqPSYqM6aAcmSVJe9ZUcx37GXww5xVLul96RoE6dowPbaN2JFtfq5IbUI/qHWtWjtFfF4rnQDnf487zYZpfNFOY6mTQB8DchsxnxP+ffkWaajYTwuGDVoropgSUdMlJxSJKMeAJTK402CV3BmW+AYktFs6noLr1PqdOhWwGQMAlvR9Ru28ocF71dT+/xZU8B7AlaqMFcSRdfMUBeRqQg6W2Drt3gVQGIxaghvWSuM2YZGqnZb9C9q1KqtYPk9SZCDkfYyfJweyXn+vBFv/V8gG4Lm6sK+FTte1vXfOnIfW+y7elF9aB5YcJOxJBwBtjb7Pfum1Qc3jXKZxrbS7pY8nObuJgjhDRN0ntJGsnDq5IA8D4+WNrWWvdJ3X8XZanovU3VTJHdywf+8iVy5yuE5OdA/kTV9nvNozeidoT4LlQVDuA+rYcM6kgZ3jxCR3oErnkpPZMggFP0Zbr4kVkHJggp7OPKdu6NEmuseAwA5zK0PrwHPLmQDqDIAY0NWjTVwqXrJRlO0M3fT3OgU6zFRgDkvFcKLdx3LvStxYvWSjUR4LK9phQfe8dJGdrWCQ77EY0spO8GRxy7QRgYxjn+tSG5P2UshOGAcCmDceujYfrWfdny8FfrhXian1i7N+Tnn9XhsLJLJV4sczMdKJqs5QZSKxAXIcZJAYgRghEmn7Zeu3fPOabJcUei9lvBRWcPdpVQq2TTQufL7zawNy7qg2GhZLSpv0iCougM6A0wxDEYwv1YTRgDYF5Fc7DH/1dWcAhaJI50KVctnM5ZmaGWGhxkg6V7ba1IB8tLabLNAs0CWhNuC0RHw3vMKH6wGXOuA+zZhbxBgqzmXEh+sBudGiY9pllN9VzL8JqE8jxp+515UD78ur0GGmRkqPYSDQfYRo7H25aVakj6bRsbTeltZsbU6PjftxEuS7hLIzmzSfZwC7I/qWRB2WlgBMYns54zstATIUHPczrsuA/DRCFhYr6k4gFyBcmICkWTvo1t0h7LyMZ9uWDwP1XpaG/Q9XE6JUuH2YxoB2J5D90NdMB6CCAPs973fySSCoxxFeoGEfasP41Hpyz/W5AvM96Uys8k6ffMIK8jcP0BRYPQfjhTYGSLa2LAC6G2/AnPFFEd8J6kvE8lpRvszANeDwh4RQgeuXinJfeY0mOHW9DghBkcYKHRrqrmJ+HRB2FXf7GSKKp0xbzXTMwNEUnlVQhU4dgKC9YqzhgIMmIFsv79QE/8uHv8WPj/dkUynskAYuXyuWV1YJ/YHaPMtrRds1HN9e8OXdCX/68IDTD2/w7niPcx4xpWKPhMDN5cuI48MVB3NI2d3PmNMAAXC6TPT6NeXlEEmn/cfvvsQ/LN9YkABgCaxqBmFl8lNAvicTTKMi3yvCwgAjLor8SjF+e7bjXHG9DAD22L0PiFfF3R8YA85vuQd08FEBzQHuba1WJZYiuN5P+DAc6AvcBCHc4/ePb0j/LQJ9VSFB8eGZto/tWIEmkDlCr5HHtd1PGxh7Pv9VwHmJyPcEc5fX7Av2s2N4EQP3FOklYvdOrI0RUHtfOgHpKeDx8QCdI8b3tFOrRmcvd4qXI9eqDjxn4lmoITACp18L6k5x+eGOsfComN/avG1waRpIAaY/DdCQUI6K57+rSC8R40fplOv/0usvT3LHBNgC82ALQD8QWemK0IkiDwDWPgL/jMAH4CV1iAUXgVSr4WSDZcI8vincKHL6Z6WwBqLNe1xDp/kBsOugeEi8FKiY1FwD0tUOKyiKCKoEXK8DSjJlzkC68j5l/rnLeJp3ePp4AJYA7CvC2FBkwPCSGOYYBbudBRDbzIKiBQaFduFIV4EsDWHrKbupEEKJDJLyzTp3wADVhHCaGVi31JOGrs7srzCiIFoFcQ2GdLQAJAerUHHjThdg+qTdAy/OiuGlwC1eRIG6o8hMzA2Yb4WnEOmXGXKBPj/zmdzfsxrz5ybTFlEHgFwQXuxzBh68q81IhMbUwYy1BxQWmG0SpNYQni5MWT2YDnKj9AlVo5ReKKyS0m3isrE+6pUYS06kMTngPaD3cDllln0fpMrmh2YB/kohYXBqIEYRU831Ki6MAhhsPJ16uBlBEXRLrb4QlIdfXxOgeBsakfFB1kCwke6Z2w55UFwPI2KiUECMDdOQO5qYklXB9rSgqCEiFM7PumPAFTLoyadKWxzPU9Wuy61R/No/U/j9z74s4NRt5Tytye22n0s3/79FE05RQIy+2YfPEi40q2x5fyTQqZMY1iRXqkJhita98mRzyqrMmk15uTZIjasgjwtN+b17gus0Tge0yjb5MdDOK7IbajPBlQospJhqCJBBoBW9kovW1kTF7zmwd/qGag0A2oC8cD4HIbjjCfhmregQUe4nOwzdE5SCHd5H1UZgfsuBTqeAsHj1Q/ufNVHfXIIH+NuEPsWbVgBOQt8jZQUzjPnhntli1Sfv92lLRBFAJbLyI4oyNsTU0BqV9R2x16SoOxPk2wF1oa9gnAFs2zv9bDHmDMC5hGrnXAwAGgXSqpoFExP1rgXQ9yCwz8qZDNG8x+3e+pyxxDpea29TAPzfBTCvWRec8f2e3uGKdNlUjxToqvgA3G/7xgvX/3wmLtUT2FKgOUNi7BVhaZuz2PuKuXj5HQ3cm7ONQzEQ2tgNcl24z/or2Wc3hbycKWZ1f7Rxopo3mkCWsFajbU1JjDAfrj7e+fWE+TUTZFHQd/SUIVWRB0E5mP2YaW2EAjQwgSpHmxtjQ4Opjoquc98rv/B1SLGjdK7IdzwzyYDY932GQpIFcroSrDqsFTtWR1pvcTKRXYQlICR75s2cG2ZBVcHTfofrmLDUiDFWvN5d8MV0wlPe4fGys7ZURRozvnhzxpvpjP/1x2+RPz6ws2HikIXKORkXL0J4QkYAiHuv3eOsmN5dIU0pAjiQ4dFGMteGU4GKIN/Htc82oION3prmoD4UCJEK/hpdq8OeYRVIaDiOGa0FnCsTA1d0jVfpCe706AUR2+8NJBJl/KBRUO4ntCQYHxe2YniBAWvbSFd4z41r3vetENB2qfuBO/W6mVBamAEUFgiGkzdE2v5ha6Rau0UHOCqQnmdIrihv9sh3g1UHuac26ylOy8pmadNA4UtfMmdFTIp2BvI9cHh1wVl2SNeEMAPtV4pwzzY1XZho1cy9kVY162cNseI4LijmN92a4HCccbebMeeE83WEaiLtGExo5ViYwOUADA33X56wGwpyifj9xze4vkyW7Enfq/ObihwVuz8NOPxAb9Tr16wUf3X/gt/dfcQffnqD/fcJy0PED+MDhrFgN2YMsWFMFfJwxav9FZNlQocdk/O8JOQ5cU6lChG1GoEg/Dxieh9Q7hT5Fc9fTVzz07NgOHH+lXsAgTT6MKysuHJX8Ns3TzgOC77ZPePn+Q7//od/hZAF00fF9FRxChGnv66MU58jGU1WEQcARCLvbu00nyMuxwGtRia1NQDZApuxQQ68v/k8cK/fWZL7aUC40vYHoyW6A8+0+SsDN/2o2je0XYXOAfs/DqT6Hw1gu5DeDAHm14KaYGegIp0E+SUhXEOnbi/3TF7rQdHuSr83ycI2pQsBi/yqQbJgfE9rwfKqoe0bxPYvp9KHAuweGS8//o8N979+xvOPd9i9G27O4P/c6y9Ocunr1zaIrR3WVslwMR65ZEzv16CR1bwRbRCka8D0SeD9NWoBkgbB7kPD9FiRzhXDR5qIObIdllWhdVu1AwBJRmsSYd+uB6dClKSdIyslM+kkx8ANtzyaiMdkf8aEcrzrG3EV4KeD4vudHd4KSBbcvRfrwU3QBAwvwO5D6xs3FBifKoaz+SCaWmw98F7iTNQwFFbkxGlXgIlPeIBg31tspy9tfW/juMdHMCFysScLnMOlYKrKinhLqKNgfBbUicjkraAEsH/XML5UhLmtFhOm+tqVn1uDlPTL6zYEvgfXLmDTA5XGgG7Oa+Vo45/b+6KcBuoy80aL+4VncKel2X968GUBfhdEa0raowj9K4FV+EqVKslbJVx/Vf8c+1yvxnllwyoNwT5PU0C88pBP14H93u8C8tH6Zhusd6t1X984W6/W88L7O7EPcU0skgnWWLBZW6eh9CR88wqWEIWl8lo8IYyCdCH67ih7HYXqoUlMfXxNEi8ROA3cdeIVSAUYzZIhZLeXahhfqKAbL62r+zqF3HuLZaYycd8XQljBiCWvdNpeTbdXLjc/kxCgOa0V3e6/CcRLxHCOqENAuiYTuDOxtbgqlLKXhv0p9FVmj5kU86pWXUEVT7hKpdJ1B1A288GrkJsWAjFlcTRdPWedWlzK7fwBgIVCZjok9oB7IrtNjsOq+IvNPAfAfbfUHqDdUJQ3+/PKemi4UQaLEYgDZABkoHen2L6ybg6CcF14eERBSq7mPVjwDkDYprH84IAbx3p6ahieC2JuDOhrW/utjZ3A+7XkY859jOC977BKitOUrYIalor0wqQw7cnecdbQ9BywvGNFqNsadQCEiYzPCYId/Duaf7JT/kNRjKdGJefHjHDOq1aAvbY2Xj4n3WLtBnRcMi3IXPxGhBfh80EVkmMHhZy6H2Y+42AjEa8RUke0cZ3nZScohwQpwPisXbE1ZPb7xQvPPa8KdwDFn4EpKfvzdoq6qrGm+vXanxj7XBTv3+4eug4EYV3T88I9WAeC0NnaQyo4JsAKSG4Als60EYEk7mkEg2oHO9mb29ZxNYZDZzKAMUScK8Yn6UkuLDETdR94+geX/YbR04D9T4rxE1B3AXXHitPwbInKjpTd8VkZFJvoHYFijvcAIC50UIjXwrjiwCC17RIQDqwajmRkdeDE9qNYFXGuCCVx754YQ5Vd6udK3UUsj0fMAbjaPP8uUWBHilhgjp70Pe/e4h9Gxfgx4OFPeqs0Hzmn02yWfEC3hUkXso48+QyVLQ1kznBPjnNDulZSdefCvt0dtSxSaZa4NYwf2TPdhrACOgGIc+D97QPaEFkYeEegKN8N+O71ASELjh+NrXC1dVsMoF/UqL2meuxtVt4+4rFBVUggYxAP+z7mAGNN5HX9agqoh0RAOteVuu/L2/EiW/Od5RaYEMGe4fZ+Q1AKkBZd1fGN4SBmo5WuFfGJ66vtuMfd0PKhNzoXLQl05F4sRXH+uIdcI8oOCOa32y4JyARIAABPjEkvJmYE84GNY0O7C6gqWM4jdA54yQGXcUJdAuScgCJU525APEXSlyuBtjYEvAx7nIeGeuV3SgkdGB9e+P0zgHZoKHvF+Rs6IiAq0ATvXo64loT2MnTgLhtN//y0Y4I3ELT8OUd8OvM5lhLQmpCpswTUEtAWZ6NwvAJoeyMKDJ/srHhlIO0lIRRhG0tSqFHhw2JzblGMHyJ+/92XSFPBu1dHnJeBPcnKfGa547pIz9HWij0kH+MG6CVCsoNo7KHNH3b9rEJqiPfcl+unEeGSrIXC4g1Xb15MeM2BFGPzqHBsERXhOSKdzCM3ML5rA8dZTWirTQQZaOPEQaI7h12P2T2J0bDThawVGFuF1xLIdLF2jTgL2sntt7j/hqugldgVt7sdmDHwVAEdFLuh4Hls9Dv+75bkni/0atrSTUqFni6ANsh+z8Ps8QX680JK4o7ecOnTCA0BRw/UjELaEXtPZE2cSD98Iu3o6y+gU4LMhQfiJiHsyYeJukhtRJhFKB4UBOHlvKLQqggA0o92QzGuiLMfrL4Z2mHbjjva9KhtYq1RsKOsSZfk0q19XHRD5g0yLQKkiHZ3oKDIEOmluhQEF2JyNLrUtV9KOHm9Ki1Lsb4YCwguV+DTE5ASwv0ROiQLmAXheUE6X4EYMb7bMSl7OvN3Ulq9KHcDnBrsNGhcZ6LLx7099ytQKuJlQDCKeKfweiC3TUqmCd0Cx4J3qZkWPNerVaF2XJhi07JUWvf4XBOB3h2AkBhI2XXr/YE/9zf2qgMp9Hwm1hNWK3SmrZCreN5YwUxj/77ek+b3Uk0UqFRW6vw+LcgTEcjFerxaQ7Ce4dGrwp9Vw2761jZrwOmterlArXcPIhxDT3bmhd69/jkp0eZl+yoFWhskCJL3yNtnjU7luy7Qy4XXPwxWNbfvK5Z8bNRO9ToDrQIhMgnbVCh1WeyePgvmPQgGoEtmBWYaeT/+88280cIef0lpDR42ViC9NzbRs1imsQfhfR+wwGXv6yYXfu8wGKVX1vV9uvDaRQAJvK+02Ro9yRKBLgvq+w8AgHB/bz2rhes6rPfZq6MpQacRMi9QD9D9Y7f37iJQlnDKNHFclwzNGV1x2T5TfC5tlJvV139TJtdxA3p4FQ6A21P9IuEFk3JJE4HIwfaEXICnM8fd99V5QfyslzF9PJKae7oCz6e10h0Cx9wSZgDr+ANrEr5k6JJvgYGcWVW2OSWHA7r6sO95OVBV+jJDTxfEGDAMTin8rGq+BYM28062Y2F7B4A10TIarjrVVpVn0vW6jkGjVQ4AyGHPuWZ76s3Lg+rLjPb0DBkH3tcWVPP5GsJKc98+MwBymRFeeC3jf9qAAQCvdUgd1LsZh82c0FLQhexs7ardR7sy6Yh3x5Wu3hSaklVGBTrZWaHK/TlnwFg7DmzKxgXB+9PldCHdf79jb7LvNa1BZ1snw3DzzGTOZARJgNwdOUfE9BOKWXpt53OKdp4IZLeDbPbzuksYTxnpcRWjaruE+e1EUOT9jHiaUe8mSBvXXtmmOPywIOS60qFzRXyZoSEgf3VAnSKT0KWhTpEtQkWRnmeEa0E4ZwaG1wx5PjEB/+oV2pTY4vJm7KAKvErawH/LFg9dZsQQMPw8MpmcBhNei+w1DdIr0OlcOzNIalutmJoimRWTxx+8PhsTu7/yao+2iyaI2NDG2H2Bxw9XhE+ndX8cB5TXu1XoU4D0khE/nTvIqdOAdORaGk4F8ZRJ0X73kfNtHLuNHzZrp+0HxPmAOgoO31+RPl1QH3aY3/AcCVY8oA1TQXmYsLxKCIsx0HJFfL5yPYyDFUtWQMpbruouIt8PBBRmAljp6XoDwta3d8hfTAR6r5k0+F59FhbK1KzgKoEXKdQ8EQOewydTqnrYo02Jwpk2xuFCVpzMXLthqYhzRHxaEH94z7j17mBWhSMrxvUzPRcwuWomMhoXwfgDwZR8r5YgA+GFyUW8MMFIJ5jgaICrDLdJUQ6KpwaoslIYreImAIarYHgGq3JHoCXF+MiEt7OpkiDnCRoV04vZ5xwU5Z5A4v5H/l1HQZ4E5VVFeWv30wRogpefj3gJBwyf2Csbr4LykqBKQaO4mNXM6wK5RMgnCiEtXxfIVC2JDBgeA3Y/iSXgrNA+/42ifrsg/jDi+CfB8gqQv7limgou5wdIDezB31XoOSFeWdgazmTGHL8T5McJ5Tjhx68nSBPsTwSTyp7tLiq0GmqR/fwUIlXIWKGXhPREMajlLdkbw8eA6X1C3SsT3yPw7dsnBFF8/8/f4vgdn60LmXriXA7Wz2zDF7JgeLSxeFsxHha093c4/okV2suObKE6AW3gdUHIVrl+xeuue06seA2QE581xgZdQm+D6exQYXsk7dE2TKICpDN6cYbMFwN+hABcb4fwI8ePv6nifprxaVdQjmPXNvkvvf7/TnKrBUyX/IyhRh5YYYAuC6RWaH4BoKYamRiszFRklMCgVDWulY8e4KdNkiusAJUCmRe0/EQK1JIolLAUQ6Dbmjx24aOV0qcWqAs2FNStUMj2YPzcIsarif47ItC8Q1umFcH3yvVWBTcXVihjhGDH710y1KqIACwAohKytggtAWHOCGVekx6AiXfFGqjVAIUpMHuFrFQG26VC6xXQSBqOeQRpCjxU56tVeXlNcnqBXs5AHCmCkiI0jz0h9O/QJUOU1wsAkmdLKBK/Yxso+mubwNVGhCgvQAt8prUBZUErLwQBLKhzH1GUAi15fU5BeC2aIHmB5hmCBL3mNYHcPs/W4MboKgNQA6TM0HyBYICmiQh+Xiwht5KOP8KNGuclP2NI9p6SoWUT3AKApvW5whIJT9AsAd4GmL0P8nOqaIwMaluD5jO0KkQiAzuZgTjZz2Z7Pp4AJK6r7SW5h65wTosIUFOfxxCBWqAuUYA58fu9om6B9vb6dF44L2PsyaCkgfdbck/Sts8MEvi9AJBnJt5x5P1s15r9nrYG1GJj6lW7ugnKC+dQs2QvDP16O7ACoFf/AF53yUAaIDtLro36qJerUS3tWiVYRV9u7yME6HxFzQy0Y1VgMUixVRi0uc5BgAFkniG1QIs3pH7+su/V1n8uMrPEmG0NqIEHEiiYZp7I/Ro9ybVERTRxjLav2tYE15+RVuSNf+ilvGAw1Q/1WmHOQHnhfWr65Xy25EovC7QMCJcz9Hra3J5AynS7t4a117HvG0uGlgr66HJPURc1hHYgTRdLPB3kCSzLck84s0JQ+fzUBb/8u0JYk8nO/mh/dgz9O3m9CVIs6bKET68XNqJv566zb5bC80YjtH2WVAujPlnOaPkZEkYTrtmMaSnQpXB+f9YPfjO/W+Bzvc63c2tJ6z7y+Rj4s1PdAAj2p5klSMlodQasrUdCWr+3JP53CNBwC4hpKUDfGxMgEf9f9v6lV5clyQ7Elrl7RHyPvfc55z6zsrLeVSDZ0qAHTUAEBFAg9B800EDzHnLGiQBOxD/QmgvQr+iJ0ISgBkSATUGAmhApVBWrMvPmzXvPYz++R0S4u2mwzNzj2/dWsdRZ0CgDODjn7P09IvxhbmZr2TLJCyCJrTY0MYG1nmkH0gLV2NHjUqHZmRKDrfFEJf6cofmZtixXfqYGFr2WAlk3DAsAgNlzUxW/sefzI6oON+h61YT5OjHwuc6IlwU5TVgHljd50FhPKxkqgkZdldMFCAHrbkZZI7sBrBW1RKwSqU1wvRKFN4Rf5hlYLhBNKDNQa0SWREEfpdPa9BsqUK8LS5muK59VhGdvCNA8WMlAYk2koSBSgHrJCLkYGkgRpDpzPsvLwjKdgSKMDKL9zOQ+rcMVJae2T7UELJEIUrhcEOdTW7eqI9brDB0CqvVxrvOCMJ96wkUGzNeANUSUS0G6LgjXBZgfASgEE30WTTw3bE+qjphPM+osSKcryssJFXusYdfsiKhSZXgpyGGHOSWEVVEvK0KpCNcr15EOUAwW5HIv1Wrq0BpQiyBURbwS+U3zlT2ibQzKUnG5ktqu6xWyFCgitJBBV4spJ5sSvlzpq1YZUUNCWDPCcmYweV1RbY+rATPRgltZMqAVdV5R4oAyL5DlqdkYLQE17FAlNoR63fgm88sn1HFGWbgdagIQNrT6yCBLZ0GdBbICONk6H/j7OoHtZK6KakXt2yCXtlCAFwtyM9jv9SL83hbkAjnbd58EdQbKoshFoRfB+sQgLX8CMirRxIEsKvbP8c9SyMcEeRLUFciRfZLzx8DPhCKXgnANKJ8CagRyXCG7Cr0GyBIgzwH5sQt7aeD31mGBfhqxPgGLCOrHF9QxY32sfE+s0LigXhLWR+7b8KyoV8WqgrwK8gwU4Rm6PAbUK25FCpX/LwtVrXMtkNkC8CdqK5SlQoNCPkXoSVCvQJ4VZSnI948QUZRPO6yP1j1iglH9OUxlAXQ0peJJEWaBPNlY3HG/1Y8Z6xOwQpD3Zs8uDEzzUqFTpX7JSRgAL5zs5SlAnhXro6B8XIBTxPISUc/aXOg1CnKsPcgtAJ6ZFKgD14IG2N7b2LkCoPS1yv1hx86HBdfdM/IHAR4X1DN/4bHo33SJ3ng9f/M1zzPmuR8S//bf/lv8s3/2z/4ub/3t9dvrt9dvr99ev71+e/32+u312+u312+v316/vf5ern/zb/4N/vE//sd/4+//zkjuv/pX/wr/8l/+yx/8/H/15f8OKYwdNfEMsdetJSJcfxuypVbTJkaZBUAEwxFUQzDEFSkn0pybKAvQM91OedqgWI3aN3bKFQBDUhMze4/PnbIFbBCH2KiLrdXAhmrXsowLn1f2u6ZwihCIaj+9ACVD7u5IXVxX6HW5QfHaPcYNXfW6dHTPxxAgKn5hfbLsJiAmE0uy960r37OfKEridXqGVEiK0MMeiAFynW9RcNVOEY6G+rmoSEqQgwllNIQFfU6NVsdnK5D7I3S/s9pRvl7PRnc1qulWabOhbteF6cBAVFErqbuolbSzZJTnoWd5ATQxlNZrb1lRH59II76/a1RdtpuqDfkjzbYA44Q/P/87/MXLv/3BOv+n7/63SEWgpUDGETKOhl66gmjttOFh6OtdN1TARoMPNzRTp5JqKaQBOlXW28vkBboQAZAYDW2yte97KUbS+8qmli6l/hlOId4is20tb6iyEvq8b6nH3pe3aluH7Xu3rweIwlr93raOtL3+FQLYrpz7GGyptmJqrkZz13UFauEa3H62C4a9vu+q/XuNZq2qHCdHr7Zr2T9vOz4hsAawGMpsr2vzuR3j7dz5pb1u9uaZ7bViqtlOQadwVYFMU6N1N6GovDTbKG53o9u2VzW2m/sjCl4h44g/v/4/8ReXf4fX1z99879BGu42dGjpdgnoSLnTobfoYkPiCu3dOLK8QBV4fCbLJ6VON65mn8exnxtb6rQIYHRYzGtj5LTfbe7phoIN3N4/AL3O0POZ8zgON9+rJpzU5mHDLlBnyKREEa72C7JTiEZG3osqdDG68mgI28I+8QiRtlrklm3g68Hv01FXn0NfW1wA/DtG1qTnAuSFrxmG2zN1Xbm+fW04U8DP5Fdq7XqZya7ZTdDddKPgTbrz5lzcot5bbQKgjyHQa8/9u5zRs0WQbb3qRkFZGtXcdCb2e+Cwo0+wORMBGHtpY9MC97iXSPz56X/AX5z+h9fLHP/0j/9rxN3xpnZatvZqe1XwvNjWpQP0H2K0vupEFXQc2rhuNTHg1FNV6GFC2SXEa4a8XPj908j62yE0lfjW3m/Ldtkg+iFXxJel+TxkU9XGtNHJ9pWf/fuRehyqEBNN8nnWITafqtWXu7151R8eQJtHMZvC+ufYS5K2lQxbpfAh9rEGqCmyaXHGB6NfoDGyvd/mnlxZXU5XloAc9igPHcntAn3291ZRPgjqboQmE3cshaj4y/lGYR53B+hxZ+KGZm+MBhw/naDPZ8hhgh5ZJuVK+nrcQccIZNOgWDPL+apC74/QqTMJdQgo9n8XUY3XzPaGQLO7daJSeTivLHdzv2VIyF88sGyuAn/5V/8d/urn/9cfTNOf/Nf/e9w9TxheKnQQ5NG+3+fHq3kO7LEtleKrAGswa2Kd5XCmbsjwzBrn3fcz4pzx9Ed3OP1OaK21hjPw2b+/Ij0vePrTO5x+EpAuiulRAQHyaMJg9jdF8NCQXjXWglTSaOe3gLdBEAXbErnJEVJg08WYGAOp/buPivGJ5QR1MLo0yT5WG0qNAlc6zwcqfF8/C1iPwPik2L+vqIlK6hoE++8r+xKbaniZIua3sdXcN1HLCpQd2wlRa4fo5O4jtYXWQ8Dyhqj0cGbd++7DivS4ID+MuH42QNRKDBR4/t0B8zt2OZke2c5npdYepkdFulRk6zXd9ptyXKUo5rcB81tSgOOVc7DcU7dhOFFtfHxR7L9dUYeApz9ITVU9VFhduyHdO9qk4cSxywfBck+Udjhxf6x3pE8PJ+oSpHPF8ednIAge//SI61tSxL3rBltXCSnuETj8WrH/vmC9Dzh/zp7a4xPna37X5+fw64oyX/Bv/9v/A/70T//0h/Zpc/2dg9x/8S/+Bf75P//n7f9PT0/4vd/7PURNiGIHbLCav1KhOfCQsr5cDJQqHdhhvKW7CSXyRQReB6km9tLr88QC1gF6fGDt12Xhxg9WZ6UKAVVNta5AtRq83QSnwzEwsGBnmKCHCXJdAVzZz86MoXpNVKIz1Jxov7YHoqjxwysEAyAmbWnKPXUFUARBRuiwJ5XQVKBbwGB1KBBTMlWFJAvCrtfmaKj1b61GHQiiQHSl1wAUhZoCouwG0EIGIFWO5bpyx6cda5ZWAYof3nRQdZl5sBwnjncWq2ccgeMDDfPzCbqhOSIYXVYVWhboqgg6QNMOQDEOfoQGReMjwPrM2T2qCWDhStqfTAky7oF1Rc1X9nycEiADJI3QcbgR5KGjEHr9rAiqWu20UrBGE+mWKAVSV0Aq6YRaIWnAn737J/iTL/4JdBqRy4x//f/5PwIAYgZiDebwWDV8ECA5ndZ6pKSRa65WKIxOXFZoLQBC2yfegoP032L+K/kbEkdzwung6/UKaHewuNbss2uwIHCCjDtoztCriRVJ6MFW4L6E9ADPEx7NeW/JBns2PwhLIYUQHjw4tRZwei9pS+a4eA9kF8jyn3Fjw1Vx+f2bxMnzC2qZIXGAyGavBYHYetX1ap8Z2thrKTxg4gRJw40DrnmxwG5qCbcW2Bgd1eemD7DZmq2NiiMTDFKB1ZNkU3f6awGlSM0peqXO3QIp4AdBLpN7tmbq3IM2Fa41N9PB/lQv0rMxFtl4Lazl8WSExAAMIwOJ9QpAIWmHP/vsn+BPyj+G5oJcF/zrD/9nAEAa7lrSUqx85KZOe17M2U+8mU1iE8vV2lcYvT6M0GjU8MGpzuE2KcBFZf/3cTRbJgIJU3NQNTg9Xy2Ystrh68zEg9Oeo+2hjQhYXa6oc+X4XAskDQhpx4RUXqCLQgZYkgQ90CxCqlwaIHG6fd55gdbMtRpt3SWj8xmdl8HOyLH0mvnrDC25jYPE2M4orVejhb/aYwCQWEbiCRi1dSwx2P7oe0brTDuACBkZBLhqtowjZNptFiCAMQKxANME9fZAHjipleJ4ne+yNs0NnnGVZ7oFQz1RYWdbmlotrhazd8umTtgXtthbFrWk0g4YAuRwhB52XHfzE18ULHleN+vJ9pbs9hwLVfzZ8L/An9z/VwCAXBf8d7/+P3E51oAwTKi7oam+oyjpxKoMsCLLY+S68Eze0bt08TytETCaqNpRKEMihTumLojnLZEigy8IkNYAWQoFXFKAhpHBbUoUIhoCymBtDa/kIOoYUGPoqsNzQVJ+oFQL6HJlrnKMdvaCJUq5QHcDykhdBwm1B+83yUaFSNnYNEE97HvNpwnFhRezwzK2Cg2oQCVCx6l/nirbmVUmkWoabkwtkgWQuTZBPwpOAsgKtV7lXk+tpn6PS4HOBbifkD97IC3ymql6/PGFAmUp2jxE6GFiu7P7EXUMGD9cET+eqMZczH4Gs99xgsbJWksluFAqAKSnjHp9QtgdUac9oIpgLTS1RKgLZI4JIgVyzubfjtDI9o7UnQnAGG5EokJcEWticHyZgRhQHvZMiOhsfodSOX1I0P0RmCKkKv74D//X+OOv/5eI5xU5X/Gv/+N/AwA4nibs1glJK9YUUO5MzToxaBxeGLDIXqADfyYWsNbP2CIrfR+pUL0q7r+5cJwX2vlJJ6wSMT8A808L8ktA/XVCqAv0YQ99I8ybX6qd0VZjnhiUSgLqnpTh8cyaXI1gQL4ThDvWaaYzg8VQGcSVkbTXBODwgWfe+SGgTMD0vuL+uxPmz0a8fDn0Vk100Znney7YfZwZeGtiS69xwPrApVCU/ZTvP5nY4GNGvFYsbybMX6a2XDQI6o7jSZEzQCcAD+I6UYhVMYpiRIZIREkU4zpcMuKlYvrVM/Dt9xj+8KeYf2/PgPLOtscgkAUYFmAsFdVKXQC+f3hccfl6wvkta5wP35Eev9xToC1OwKik3g8rTHlc4BWUEoCwVIwVKBIhxwm4R8OO4gWIz0wG6M5KNoJC9zzepsIgf/0pj4LhBIxXxTADw1oxnjN2H2YgBFz0M+QhIGVFWhhwaxCUAch3At0ppm8UD988YlkPqG9GBtWikAisuwC5o2L44bSgztxrcQuI/Mj1dw5yp2nC5EIxm0umATLtN+qQdADccW4CI0MCxmTOp5UMb41dBeoQmZkCKJTgKr5rQd2NKA8jagzsxSmCOO9YZ2KHlOTKjJc71pUtjHSI7RDjqPD95TAgHxJbCb07QIo2raEwZwoKADRyQM9ebjPxlgkVH+jXbXBCQHi4b06CC7rcIEUAs77C3+kU+wEEQMNb+gC5ZzTjK1SIQg+sww3nK4UnzDG9EYCy3qo6mRM2sneYuohQKQhWy9WulCC7iX0zHX2N8Qat2ta6yf09P/NAAQoBoIXogzjiYaISbD8QgBRQjpZl/fIBIVfkQ8J6pGJksN5wZc/5r97EvTCb5dL6YtL+slbe896cx21goXoTHMuuByt0t4R1fVvhKaCLyTgCIn2MXQBNdxPK3dTWMK2Ffe0QUYfQ59yz9SKtLRP77MWb+43XjHDNdASWlZl470Hpjv2QOKaqCJZh1j0P6oYobLPcqrc9aLeq2P68jq5U7SJRfrnSqgdCNq5cL5ZYKYXia/4dYWMj3FnfJjeOe5oEVwb2zxQq5moIkLd3cDVYV95tgmeu3L25fxnmFvi0mlBHEkYmZWCo6fb7muO8ZXf4On+452u8jYrV/G3fr9NGpTvYHnQ0Y899pAOVocs+Yb2zOjrfz555LqDKaaHiK4VVVlvnuaNLbnedBeEonF/VkEutkGGAjCNCqUDIkLIZsxSZzPLA1hMt3m7L2RP+sxAMHQLCaWooA9d6RNmZDfr6gc9lgjTsS0xHO7iCqIn4SdEmINbOlXFgPa4zP2JguwwRImBb9DVyDwGgqmlVpMcL0tMJzpqACPS4p82cF8hu1+cU6DZzg2Y3ASlfm0O6Va6W0M+9dh5O8MSlOpMoH6gIbYKDbZ4qEI77jqA1dM5atrh4mykgS60mFhe7uOFqQoTHPeTOkKam3M1As9mwNmDa96WJ9W3bFelubHNfR9b6iosN2rrX/YQyDTd9o2l7BPl+RNlZyxwvT/btEmHMGrX6LUU6Ua8hLFwX1T4nzBHBbZTtLSljn6vtHl5Xii8OE0IcbUw3a2QYUA8jyj41BBAAyoMF+MUVl0eI7ntbK8DEJrU9H+f3cz6XnTVlF1F2ts4zPz9dS5tLDYJ4HRF3VJde3+6owjzXLiqptAOr3ZPXrfGXAA4R6xvaMCohs71QuGbWxBrKl0y9utxPyMeBqs6XlXVvvofs3iVXYOFa9KQFrHUjz0jh3n6wM6YlAb3NTrA9j1aDmE4Z8XlGPQyYv9xRcflKVMz758a5Ir0kdKVv3LAJmiULAVUEsuO8635EvHaxwToEyHHXGYGA9fKm7xWWYsrFtYvC+fnvCQnzSXSIqDtrGWS2qj4cIOknqPuxnfP1wH7i68OAsrfuHKONGT7nehiZ43MlXp9fKP8fsqLsA+TthDgXpE+z7Q9pYmE4mC0RS0BXKjTTd1BARshugJaNrsidII4cl/lNwPULfmdY+f15JwiF63Q4oaGeqmAXklPEcOJ+XfeCpz/xllemuHtPZLGOADJ/9vzThOvbiNNPBfPnTKyPj9ZqMfA7QuH85p2g7Pm7MkmbdxXB8gAsnxfIHCCVCr3FRK+nD8D+55VqwYl2xfumLneC5z+kQBkFlNCCW987Sw0I76hIf/ksNnGj6SOR4eSo512wfSiI14j1PmK5kxYssv0p7Vi2Wvo6AGXHPe/7Yz0IyuB6Q0CJwNPv0bd9kz7DbkhYvjxiuee6CSvnyceqjMDlMyYCXeLh9FVC+DxhuedYxQWWdDO7GtDGQArXsFaKdYkC0wfF7hPR4ec/2FHw645zGWa03vZch4bsDwDuzV4U3ltNwPpAoLLsqeJcXoCaAtbDiPX+d6ABuHwRUPZkCqRZTRn+1qZdPw94+gdvcPlM8PIHvIfjL9jOlB0NKI62PkSU60aQ8W+5/icLT/mluwn1bs8DvBhdRhiE0OgwO7Y8DFjeUIBhePF2LNhkEIGyE8z3sWdeKhdbnBXLfcDlSxrdeGXGJ2QGqK0Fy1IxPCUGC5b19MEDfANLk7vP+4D1YFSLMKFlkkEqwXCm8RjOmbLuLjTgbXs8yGiDYQ73hkatMQBv7zd939SchcHoSeYo22eWw4hy2BjoKFgeIsoolMDPfJ6a6NSGjKZYCgHCrBied10iv2rr+emf166qCCZhprsB5TDSuZh3zGqfLswqelC3VTtMkf0/AQseeh9Zd+JvKEuZ1A7vd1kPIw9Du+8yBszvEsogbYOuR246tUS/BlCRzrNJAoQlYHyKCAtw+HXCcKpIF7bi4WcfuY6eZrY4cgVeb/sSI1GCFNnWwtpzaJ5vkGqnPNfjvtHaNEaU+8nGnS2V1rc7zO8GcxhsmAcarnXPdg9sVUJDng+cS5/bmtCoJyGrtRmaSOuZK5JTZubSWzpZcEzKmVHeAvs8ljE0Sg0l2zfrQdHaokg259IUJqE9wdQcYKAFwpI5ljqkjlAZnbTuRugUES4raWXupDstz5U3rb2HO31lZ0kAd+a0G9m2ZJMQELwqhqeFY7BtzbIBh6Qokxw3gUgPstWCBpmX26QB0Omn17kHkqoslbg7tACP39kF6FAqA7CDITMxdCMOQIeA+e2AOgjWQ0AZSW1a3mo7HDUpdFchQwVeEobHyH7hLzz8xieuh/GF7Xj6HqtIn64dETEkXa8m8DUa42Y3MSHiauGtl4Htz91oSZOEuu9OsCdkmt0OPMjygeM4vNCBXu8S8pF2nC2quJfrYD2jBw/eeYhNT+yVGtfeuiSdcn8GezapijpEqKnHcm0Ls9ajIRRuJ2wPpSv31fQ4YXrPRGa8cD7ryKRIuE4IS75x9mHrQaeRrKEtZdL7lnOJ3qB9ujcE2e3/mPg9Qah662eQgC1opsD2Pufa7TjQeqJ6uzmg2+54zb2Fm7WLqpYoCqcrpFbUuwPy2x2f93mm3bOgXF8nkVR7KzJTbpcUjXZq9nyIfI4h2D0ZpdnueX0YqSLsBInI87Um4PouIB+BMgF5r3TyJgX7rCoQ+P2SBfEq2P16QJyB6VNFuirStVobu0SHZYs8WhLR6cSts0NlMK+WHGFPxX4g8bwb7J7pT9QkyOYPsDWOtv7PP3ZxrRFxmt+K7QGut+WeFLywEnmQDIyn2FoH1gikOWF4GVCT4PI5z8fjtxnj6p6l2Ys3sTnxPUimA7vcW+uezGeg36JdDboodkkQ5oL1fkA+RKRzYeuoIMhHfr+fC2GpBGZVyWCw9a6BDryYT1f23rrEg3z05LNRRD2hsXsfsFsL1rcTnn6PAfD0KSAuFuRMguGs2H1gL10/f5i07rZJRdrZUSe2iIvXgnhagSj0J1JAvp8gOlmbwUpU3Hyq4XGmmBMY/OqYkI8DvLe9CjC8ZMTLijpEJtlVISeFaMX6bof6xd7OLzu3JjG6q2C947wvDxU6KvCwIqTajoD8OGJ8HxEy2/FJJu00zkAZGAinS8L+EHvCZy20e5Yw1MS5iOeViswzO2DolOhXbUpv5rcKWQXlIrh8pZh/dwWyIH1MDJ4mih/tvg04fkPfKh+EOa1nrim/1jvB8x9bEHes0KgI54B45VkQVgCiePlD+trlswXj3YIZBxy+JQXWB0IyEBRY74Dr5/Rz4lHMr6evMn9ecP+TZ5zPE/J1T+XlvUKj4u6vAt79m19h/foNPvwXBwZmK9V9lzeC89fRKLo9lnAbWk3UqA4JeQecfo//v/sr4PhtbXTmvAuYv6S/UaaAOAesByAfGTjmg7bzxoXeatr44os0P2Z54Dpxe1Amwen3TBgqjXgzvMHls4T5nVhPbZ6RcaHtyEcGslKpTgwFrp+bP5wUOnCe855jmGxt+XnrysYAbURZBcdvCw5//YzTH97jwz9kf2NvRRSslY/Pf42C9UH5ffsCjBW4RKSXyPd9tiBExXyJQA7In6wPdgTWe/pAkhWhCMZPtK9lNJq1J1YicP6J4vKVYHlX8eb3H3G+jpjPdxAlrT0+VWgArm8iyuFvR3D9+o2DXDFacTvUQwCitIO9v45cfjG6iRRvJG4PGHpj8Jts5TZ76euneiao/5+qd/a6TSDr2TIArReeWpbNe2YSNrfX+OfazwToz1fRs+INiUX/vxji6xnjbXAAtH5srA+wf28QF6K5dr+WCW1N0issw8iNVSMsicCBYlaFY1B20cZog5TMhdndFNp83NAmVVtPNw0Bgsq2De64b4Mcvxy9FunoW6uFs9f4fXudzmZM3HmjgaQzI8V6PZpj4QGvrwf1iayCYOPSFSiVYwC0uWcQpNZCwWtjrSWFK+ja8/OZQg92buo07Z63CPdm7nWIDLxfqwWjZyZDMQaYrUmBSaarth5iHgADaD07W2CquElYtO/2JIOvQbH1b0ix98FlACud+fBjn+fXFuXd/t+/0+sQt4jQdoyyre0QbE+LMQDMObCWFb5WWD/jmfTNnPtX2rC74YQCYZcQrEVSS+j4+9RUHI0yeDNvm3n5wbO+/l6nHbdAz56r2n2L9bVNgXPlr93uLQ+IxF5vzGb+ztepPcMmwNciDc3BD5dVez8U3a5u5om9dI12rK8m2lG47MrQm2vb8sXGtCUpwma+oqF10efGnWLZ2FNFgDQbLUU4xBU3Nqvt1WLITTRFRmMcNFuvCmQGSjKY+YyWTQ+3Y+U9190Zr2NEWGtP9G33qurtEG8ZAc4CsgRuC3I9wPJx2cy7J/n0R+at+ho36l6NMNSvvzgGQVgqJNAJbfcBMp6CrW9xhD1u1ud2rYoa6vMjN+J2uyqpylt34PU69jNKxH5k7JjUXxNWhVPQXBFYbJ6Forr2Gf4dfa74C3Qbt03MBmlBRRt3/wifl03tpYxU0vcWgu2M3b4v1+4zbNZW+1nzS/h7X0Nq50xPFFrC3Usps+9Fjrk/uwmWMwloNEevY2QAq1Sf9vOsAgEVWn2NCM8FhaFX/Q8EplxtAbCYHbHnLaPty+0a8fNhe9m50Oba2jnWZL3Io6LEPt+iIIIIRWnnTz+Pfb3USbA+TEwg2Nr3XuXN1glte2vrVxW1KNe5IcT+c18TrXTA7JEO1pHDu0JUQ4XTJrkUxJhrsQXMzQ9JevN5viZu1qL0tcg//VnbWi+AFIG29SXMBZmdp53i/pFgc1htPBfuI7HEswqMzr4Z96zt/EblOkUkk6+mAN3Q96X0s0eqsN1ake5iW0DJddJtKVlEQvtjNr+O3SfVsbLtzTy2xFaAdIamKLAELOcB40lYswkmOzWwVjVkRbwIxkenUJvdn4lKppeA5/dHYA6Yrob27hSIDBrnP/gMy0Nq9tHrX7U58P1cSWeeNesBUEuAUuHX+7Jasr9qSyBpZJK0WmCse9rpMtneY6cv2/PCxF3weebfdQDq2Gt2Ifb/ZHZBBGUPnL9MrZ7V55VBKfsna+hrKzgToArPU1FUEcQFGF7QkNw68D58rB0BbkF5QgNGPLkA6+sbF3suVY6THw0VLOHJwcaQCK6uAVUr4r5AJGPVEVKiId7a1lot7Lt7uSY0kGUVxIstUg8JrgGn84Rsic0aBTK4YfbNiL/T9RsHuVjWJjnf+r2OEcsbZsfipTBTfcoYnpxaZ0ZJTLJ9CsjTxjGqXJB+SDrlJ525sYdzz24DXIjpXG4MoLpTbZlBR70AZp01Uk67jjAn0SdXEUqnkIS1GkpXKXOfi9UmRaKv1h+TAgHCWoyG8rpTxib16u8LgNeLhSsRg7ofGtUyrJVGxepv0qVCF8uWOkKeGKAvDwx0x2flAh8sQNxs8N23FfE8o97vWkazIQVnIaJztfEJrEPRFIjQDVYjsrCVj7ycOejjQMQHgNP8dEx07uySXElNHyLqQ6fwijnl0dr7oCh1pJ54CC3vJuQjUb3lrSOffKmKUFfDepQBaNLp6aIYnks7gMJSieCuBeGZqLTuJ6It1aiYhto4RU+dglgLbinbY+vFqC56BXOkIZZp5di7MxI8I5/peMQrMARpyCqAZvw9sPNCfFE0o8sA2FCupTb0sjla7kwbQsSB6sHyuhcsdwyy06UbFvhn5053ayUCjlqZeJrM1lZi8BpNa0uVWaO1RUHlskAuMFRwuHG66xit1imiTAwWWh+90YNzD1gM1TeHGejUpDIqEfCsSCei25I37IVCD8r3lLd+cKdYirb+oXJDTbWA0GmYB/aThlFEybookKjm+MnNmtdq+1vN0Q1syaKhByLpXKCLoBjyEa+KIUg7WGsUyDnYHAJhFYSZ2d1gc0XkRntfxaUwEFsz0SxLNjFRZT1ntzRmW/d6OqPWTRscwHovkuoYlmJ9OFNzdgAg7yLy0cbWYuR8YFTgwUDIwHA2ijEiymAerc2H2/doay+9FFIPzbEGgHjmWvSgMVxzY1EAIzAF1JhQph5coZrwhgdZCkMoIsdwDn2dwOyeCbt1iu6mV/iZlHfJZC7UcQ9NgYhqJgIsXhri68Co6N7bFDFQV8ICNhdJoSMkWO5CCxBEgfGF9pwOPl/n61x3pFE2pFfR17wnnoKvefwgWHVH7gYBDvKDcoXuVNv+mEi362UOIKJn5/zwtKDuE9Y7KsikXJtPkq+OOgo0KmqxZFzkvYSFTlq8CtJZSeukZAK8hlAb2sx9RVsz3/Z5jwEwmrYsa0PkfxDkXq6krnoNpTIBk861+Sd1cOePqMN65LpOM8h0siRNXBTji32uHxmmU5CuwPhcm+3aJtdLBaKd1dNjNSCANob+RuV5l4xyeGEieLmPyDtpNEneP3oiyZ1ke958jFjvou0FtSB5m8Rxn6simD3XSCp0HTy5gBbESlGkS4GsJpa0Fqxvd7Tn9nnqYyGK65uI8+eRTrUlKMtoAUZWDCYctNxFlh+d7ewSWDkH7z+sivHjwmS8P3YS1Inz7oySOBeEC3vlYrZWS2nHdTREaKmouwFlYtIrviwWmE1MtAY7pyIZVtgmD4X7QqM0tojYWKezt6QRoArqFLCEASUpZA605Vk2SU0bix3pzPv3Fbv3xajbzJqU48DabEsGxrmwp/DmckTa+yznDRCRrj0PHS/A+N2mxEyB8STNfs/vOv0WAuQdICoW5PD5vd1OPK44HGa8vAyIc2hBOoWcFAiC6buIsCYcfql4+PMz8mHA+//ZhHwADt+ScTC+ZDz8NTA/BDz+WUAdFOMTMH1STB8E9S8G8w+U7Kc7QU0FT/8AeP6jEekimN4L0kWxf1+QTgX5GJH3AXlnfs8CPPynGem04uX3D7h8waSHz9/0ns+ZzpYUmgTrgcHv8VsOzvPPEq5viJyWnbXKGRUowPiriHQClreCZbSyi8X64x4oRBWv/FMHYHngvE8fxcZdcfoZHXaNBD6Gp2DBMwClrzs+EakeXyzZFYRHuiVLxyfg3X+goO3HfzBhfgtMj8Dool9WU+t/L3cB8Ys9ykiWGOCxFVr8UCYi+HVgUB4hCAt9nJoUOjHOiZ8SagK++LPv8Y8++xZ/9fIO33x6QM4Beh0sCcfPfXkTcPq9gOl9wLv/NxmzYZVuHwUYnwWX6wGjMkFYJ6DafMWrYny2ev2/w/WbB7kAPNtuSavmqLeg1Q7WYNTHmsINNWubvfVDwh37LQrLzAIaNadn0LqD7vfj17auw53UH0OvuqFHq4FrP7egrNU/ggZfojCrsUVnI6AwcQhUCij4/QT/YxlEldvD9zUK6FlRC1a3KBfpFps/ybOKigJpz0NHe+N8tRrgTVb3dUbXryh8lvYa3dQ9pdv3bz9ng6a1deGZ0cAM500mXNXGiQJa7sATOfc5to82ykvIzDa1rHFDDbTde6Pzrht68uZqCt3+bH5tx+bmDQyQGlq9RTlcnGJDeXTn05X9AN6fblCVlp0PPStMR1etJkJ7wsKDOP/sV46bX+KsAwu0WmLTP7u9Dmgo4PZzttRe4Gbdt/pER48DICh9DwCmmNlpkbpdFxtE0IOS9rdsAlwz3MWo3lsaZPt9tMdMARWVX5/t+fTVOnf2CCoEgX9vxVJf74MttXmD7v8YUn/zvv8Mg8bnRixQDUWgGa2JuhTefyigo1qkJeBaYNj2zuZvLxX5sTXhc7MRYhITZ9NSbpHcm7m3fxftjJvNXFbfY9vt02wy75e0fEXItlZa4rI/S1i5xll6YjP5t51MFZCgjbnBPWGHqO2dsDmobzK+jgD92Pm4RfSNESHbMWm/wy3iHwDoLZPiRqDKxqWhQA2B42fVKA0l8fFjb8WezGx2vOgGMROImD1YlXTpFHpN/Gb+nXEA2J54zbh5bc9e2z7bfzfntu9XAesC18psewVEtNvsVREincawwtBJs4tKZDhkOobu2AU7/8XWyQ3qGNATyLVSfKuVCPVn01J6vb7XOd/M92bO7blDtqW0pSi7W+FJyI0NBex+N2qhCP18Cqu2Gkyf65tbELF13xlu7TtrRdNOcHsmt/fV/CWzDY6K8rzw70RntbUgfPM5Dg742nU0M4mx7brfoYEMqrYW1P0kT55IGyf3nWoCyr7bdke4mIgRMjOEtr22s8HsS0vo2/1GaeenM2M86NyOjbzey540FfR120CVav6D9jUiryYZm/dtf+7nJwyND6ZMa8GHLGJJN2nBQ2MsmC1Ud58qWJO91uarOisLr3ymxpLaJuZ+7GjKAIZ+tqSLPYMlzsIKhKX7kRpBRFXQUHVPRNEPNnerCqoJcbrvFQq/Jy6CGonSxhkYLkqxqhR+4HuHlb2IvR53Oy5pVujCeyqD2DkClCLQoUL3ihwSkWBH1e0zk1bUGNrPw1pbor5u/Oj2TBuAzCn3DjBsz7aeBPB9Kr30xkvDq/Rz7gcT0vdAm/8A1MkSguKvMTvvOTj3VV7veaunpoCUIp5z+x3PH/Ta9wQr9UPzragsjXYW+9rtTAyuFfW9Wuy8L3yYktTGgGdRDBXHuOA4LNhPC+YwIM/JPs/2VFToVPsYV/pBfBDu6XhVDCdp8U+N/SzXzX7+u1y/eZAbAzAOPfNvqOdohlIWc3hTYPE/0J0lu8nxKSPMBXWKWN7wluJMw+NOAdQy/gVI52rwu7QDrw6s5xhOszl82uTyAaBRSv2qaMXlABpaNH0qSJeMmgJpPm0tS2sVUXcU4ABABWBFl8K317pIEEeZ8vw6DVZzaLQnEYgJj3j9Xh0C6shG6nWSNqEQLso6CPLesm7uUJrzn/d8EKfNjCeOV5ki5N2B9dFG//Gsp+QJ0eh3TQWyvHKUTSCKisQVTg8TVda0WusimVdICESlgxAByBkSBVJsvFaKStRdahQkDpq2jem1aqJEHgG0A5wHtzQKWK8rteSEKsKZ4htEIA35GRIkRtaSPrGVSEMlDxP94/NMZABgq6KtUMl8pbpmCB3psucREZRAak9ztNTH0YyaCFkB2yx0O5z7MHgwA3SHKM6btg7ATeKmOXsBqO5YzB60JNQkGM7SnI6Q0Zw5r7+NhjgT/ePhCXeePYD39ktWQ866RVvvo4vt8KAK596WSjdry/f8lq7oiMkWyS6TUda9Ptntn9KQBy+RDfyQvA8IWVAzg56wVoQFjSWCIKzvygoVu/+qCEM0RLe0NY1qDAerTWloENCcibafXwketcSDOxzOKFF0sRPppRzDS0FcFOsxNDpZtZr0regDsGUydGezJc0EnVLrTqfTN63GkvedWu25bsW2tgjk5QoZr0SB/HkHIboajXoeOM/DqbZaPCgwfiISW0faMbHacYggzhbIOmugKNf1NiFjicS2BwQo+6EzF6oSIR1NVGrOkFWw/z5gPAXkidn7lpS0NQaQmTO8ZCbdYmCQ5bZ9iBAdcUN7zdVURgXYm/APYEg/IGsFjKmCRJu9XedSKkIpqMZaqGPE+hCpRGmOhSdsarIg15KX/mUaulgTtSx8H1jycBO0uj2qU7wpA5GMRot0oR0dIoXRckU4Lz2J5ckPX8OuliwCpIB4XhDPIGJ0zzGJJqYUFp4N4bpiKnWTDBHUNEKjNgEbTawdc5aG0xcdwYszWuAXFg/eLIgaImQFwvOJ6HsIFA6sSlaZt7KxFlc6wWpy802bmPpwhE63JVVhrRheyFhaPtshD4G0Qq833bK51RLLI9f2cKICct7zrEyXShRt5rpDAPI+QSOwakSepNngvr5pJ8JqgjpmV6dHOoRlEJQHnu/Tk9Mq+/qWYmjXMbA1yBM1FqKhk81uCFD28SboLxPtWZhCE4erydeytiQ76+k531Bg/nyHsguI14rp04rlfsDpa9IUWWuqhh6h2XEEYH3g/UwfgfGxjylrlgEtQN3HFtw608iFKPtl9i5XpEtp+6EcBmgkMkstANoot2lE8WtPgotAVqtHtvWmQh/QEy0BFXUIKLtAVPmJc5VeKIB4/XKP9Y62LyuTOtOH0Py39vzKBMjwrJ3GDrJPnP1VDmMLRpoom9mmOtl5a2drOK8IywpZApHecm2jM5wU9XMicukM7D7YutnxS6ePFcNFMT+w1Uwd+VpNQN5XaFLEU0A6C2pSFBNlH/58h5L32G3AB3+esHjwpra3FfluhA4B+++qBaXA9W1AnAXDOaCMgnQFahYs92Btae2Bo1+HXwL4JmG5B9Z7Jhfmt0qRqoeEkBMe/rLi7q/OWI8HnH+XrJDdpx3GpwHPvxdx/ikD8OkTfaYyAQDXdrmSqlx29D3ygestXhR3z8D5dwT5oSLMgvHbYAxCW78VrRzM0dzdezL4lgfqy3Atc15db2Z4FkwfE+bPFPl3Z+glYnyMSGdgfSASnO9YlxtWJoyksIVPHTjeXnt8/XJq2yJd0DQRWknPJvl0/Vxw/cJLDvkeP8vjbAmFiRRqZ2axDM0+vwKhRJQRuH5ZoVPFt+/f4P/ycsC6JJQ1QOeI+Jha0l6qsTCvVlss1DQ4fxWQ954Y5H4//lJRBuD6BZ9z/2vF7mPFegy4fi7I6/+/glx39uKmx5qSxtIyvEVR3BHYXG1zXzLiE9X3yuRKihWhKPI+olqNgde7hIVBLpK0QKlGQSwb5M7rGLbf98ohDasieXbGxBfSKSOeF+Awthozfrk78dIz5qChkaqIa6HTY3RiV8ClQzX0WkSv9bJsjobQAwl3+pPRYVyoxG67DqS15J1gvaMTmIxusqXAAoaOgAZSE0UZts/v4hBlCpCa4HVPrKErhpRz5etN31C7f3eqN+I7nUbWqdctEPO+nu6IC5rIUNt4duiWMbS6y3jLzKGAiDl6fL6efXL0NyyZgZZRUV2RVaNArjP0OpsqabAAjs5OPM+tHzCGdItwWe9ZOgtMSIgyyPX7by6D9r+dzuxzIVk7tTBQQMNFPQAe1iGbkzhFQICwmmLmdv20dfwqIaHa9qCkAAkRYVEMQds9+foQpSO5VR1X9Gz+zWe7krA53g052SpSetLi6tkXCwKD7ZntdrwJdP1vrslqzlQdeNhsnYNUpSEjnonXCJQg7FoEAFUg5qAx+ACkBNa4WaaWNXNG9fX3ALjp1ei0ZVWuFVe3Nd0BbBx5AGQo2IM1wSkPSkptcyjBgobZknWJioQQ0sjVM8O1j8/2sOf8aENe2t7cXj53xVqHxcjvDYFtpi7Xm+C2vW1dm9ices/uhlKizbVYoKdq9d7KgCe+zEz87SlEGHK1hJeSRbuQkhlyZdb5R1Bntk+yZx8C/WIFpJZWIyhVqaQPYHheEecIuUuA3K4zXyMhe8BtcwPpSJTVFqNIs0GixrhwOroh4c6y2AabVUxgUfoZQ4eg8hxKdLTzFOhITegCex7oek1xskTPTpDXzf7AZk96Jj94DaYjbrY2xZ532cD+vj8rmhhWADjXzrrw9WAq4J3CzzXnat4SDrTdqohn9gRtzKd1IxZktiHkgUmNBUZ/1Ba8+96PF6PKVfRSJa9v3SYMo9DRWlbo6QQ5HtkiC2xLdFN/HgTeOk2NieFX2SUysWxoOedodHipU/t5Rw62G6UnJcKK1uVBdpEO4dITiPGy8nwxVDKMga18N0hRoxp7+ccQXyU5BXlicDxcrIQpgNRYW99SgCXRR4gLWNpSakNYi9lCwFBST0QDnX4rgbkyX8sCeKlMBfiezVmdDxHLXcA+E0UK+4Sys3X87MkqC461j1s+KuqgiNfA9jB+nDhMHtC0ObynKQAGqzD/pr6au6W2xJ+GgLxPyPv+zOKsKphfuqglqirLCapaCzQ09lMduhBQrw0HxFCzsBSEpwtQK9Id1Xo9IRkK2CIKvd61n/NWK2nop4rPIfdiE6kD0OjSzqix4Nb90wCY6BrLh0LpFKW4kGxYR0BeSJ3XIJ6fxvRUMbxk1DRiPcjmLAbqrgJjhV4pCsdkD+m003vB8KJYHwTrgedTujLZMj7xXMt7Bq+haFO7H18KRbreRSa6BKbQK62uvY4M7MiQQAt2pfTEiVjNfRkV+ch5Xe9pNw6/EoSXBcAB+b4CmbRlaMDyAOTPVuinhOGZa6PsGJCHQnalI9oUTeL33j8Bu48F87tk/oRgfELXIbBktrMlxOrxhxdgPFXkQ0SdzFf1Kj2jPY9PgumjIu8FGArWJSBdaQ/zHVFxZ/8QMSZy2mqnlfYGShXnvh88WYF21ngJlFSg7EktDysQL3xfT+SZ75845wAgs3QmmXpiUrHeCUGBqCgvCZfnrnocrgHDi7SkfShAOjH5IpbgqYnKzflOUc9GzV65VssouH7JZ40zMH3MKOOAvBfkv5u48t+DunIIkOvKIA/goWgiCN3hMyfYN21zBEixc+MjxdRCA5rjnUDjpSn0QNSMS9kPvaBfLYCwS5aMmN3oUXCpetCQK8JSUceAUkN3TuwQrSPbI6RLBqohoTUg5grR21pIwPzJIdLxtYOd7UtNbt3qcNXoa1IVMvfPoThDRJmi1d8YYrvrdVsA+f35wIyyK7eRqmyMSrEMoXH2ywgUy2SGNTQ0dIuacQzQgs0gAGY6f5y3SIQ6WyB+2MFpu8zu2iB4q6YQWCOTBLWkxoYLs1l+P0Ry7TWrNjZeS+vILCXRbT6rO3+WkHBj0RwEfk4dAmRK6Iqbmc7NawpyKa3dRnAa+3XhUP8I7VP2+xbQSyU1zyefCY1CUK0qSuH3UTzLlJO1NsGImz0wb9B/2Tg6gAW7NCpqfZX9e1ubrGAJl1pbjXJrs2L34+2XtpeYauuWftjuL1n2uWwcxg2FUbYon30WfRN3mCJViL0foOCW9iZWh78P5uBbcGuCRWWiM9OEVYAmAFwHileErJTCr53KoibOUkdBXewAm/r+lhKaM+mOg78PMZo4mUcQHrhvxNUAo4JiM/ek32sM1j6Y4+Uibj0QpuIyx2fjLbdgyRyF8ybo9yDZDodG5cza/kg2zYDT9fbe26Tas4nQmbNeyZJSW4OifX2IBbaaYmsF1FS7zREjG8TWcCEjRqqJPI0bhkYUVFPYcjTrB2tty0awK6AHi075dYSRSThDNAzR9TVGJM7GzsWwjJpG9JiJJe8/6+rADEKN9VNfnZzbUg+nMNo9tUTn1FuN+HOsdm9e0+g1uFtKpQsPAebEWZ4QphWx3m9ob6JU2d912uNWFMfZEP0+aRC3Qj7R2+vliiDGXhgH9iRf2F+e2gqbOnoTtEEU1P0A7AciSZu9U8fUxtLrhH3+ybqpSFdDBCIdwLBqE1VyJoKfSaQwqwUYAnG9AGszJarANDbVf02R0zIMtraKJUq67ZIQyMTyaZ0Lfx3AxOhaAQXyHdslUZBGO6XVhFm2LBQpilhNgyEK1D6Hz1ebP1KOQ7N5XoearjD7xKBoONUWKLd2RZbQyfsu2OTnoCMunSYt0IH/H1/493qfLFlgvoYj/7HrdsQZDRkNr86DFuyMoTnUGoASBdcvdu3+IVTSvn6xQz4GIlVKO513oT1js2kgmiMr7fv8GTUHhhNbOM73rDdPM2uQaxLMD9ukIccrXlkrnfex+X9SlOyCoojiZyva3ihDQL0fkc4rVeijoO7Y6jAfBqvD5touU7DzR4D72PYaEdc+VmpMD4B2Js5ECtvz+hnuQZD/Lf09vs9b+0B/DXDzbD4vqNZhQS3JlAsAagvIRmNheiyYamVSLbD2FYFJNlHFchdQ04B131HcfEfVc5kD5MJNme9pp9OLIC5CDZgT0UQdaDrmNxQ65N+mE3Pm/J2/HqjQe6QvkHc0tUMQxBVUlvakl/Y12UAQ+3cZux0Oq/kMA5WefbJPPw0A3mG5E0y/ZmCpgYrGwwuAn49kE1qJCG2vgT5jP4fLyGQMPDHpAlKGUq/3vLnlnaLsC+twV5Zf1KjAJDj/RHBdI/KB70HqdrCOTPRcvg5USj5U1GsCiuD8tSK+4QJJTvs2v76BQRN9JHaWoR80vwnNjwyrtiRL3gmWd7yHJm0wAGqJpv33dm7dSWMZ5b21vhIgrILpI+3K/E7sedBqzKdfR2iMqIMxBfYK3RU+s63/dOGc5T0wv+W8pxP9/d17hXzP35Udv/ts3XSGJ2B45ppYHwjIDc9oSZH/3PX3guTKvJA6NI3QPVsLaFHyyd2wCm7QSlEgXjb9Ef0w/Hhh0DMa8rgUJGXwUqcIyYr4NHcqcBjgbRa2/WvlsjDIGRI0RoRdwvpAMazx04JwyZBdgpT4yjkA6i62fnN1iMhGkYmnZYP0bMbAs2pqyGAQSAykIgM9g2yTLZm0rlbbGAVliu0wq0aPyruefQHo9Cz3zDgFs2P5aOqbNrZx4QEAEcwPnfJJCXEeHI6WAZ4Z3TxMViQFOkpnwaK3RjEnQJbcs6D22noYjSIazTmgIERYMsLLfOP0h8UhFgt+zFlylK3Raa0OWwo3y2UIbLbtkuh2GHi2moElv1dyb4fwmoKttUKuNogmOKBtnuiw3fRHnSY0xdVSN2iF/d6EvHQVyEqK4nrn1PvcgtlWcwEeMt7/1hGf5vTXLujkLXkcJXExM4AHrMbA75/ZSqEexh7AFEV0xFZ68MBej339OuUQgKkeb8R5FG3dN9q0o4ie8ADgiJ8HRlQ2FkNPrVWXOb5lF5jJDdJqxspk6E7aIFtek2IZxDqZkMNsqFvloLaa/QpIEYRR0WqxBBDPyC+V1B74HHvtsEBno+M7VVOE9sPZFo5weS0UYWOrAbQ5DdzvrQ7cmS5DbNlsd363KD9akMt5yjuhdfYkTtFW9xO9ntd7Qi+ZgnCqbA+UYkNQiOgnPue6KUIeLZiT0NcBAATSPFuv210yNgr3qixMTrGswmy2JZu2VOyW0LDE5PDpClkyqgVJLkrXxtWXle3R0GrsbKy8prqS1km0I6L15xRBXCrStTS0Hv63oPWTbIg90OxBHQYUQ+ColYCGHLpC/Q8uBVWOLUGZ97HtNwDs5+3dA+S2BnAbKNWEVtOFzWuKOVaO+GgQzA9AyL1NT8iKaIwdf852eyEgoZpTFUj/tbUCDxSBlpiUizFc7g7Qabxd79GE9VIw5WzTtaguvtb7mErudsSp2yErcCkA2OqpPW/pga2X3MC2tFQivqJkAchKRpjbRN1PgAsfKr+/MU+KtYrbBmyver+H64JayaKI14o4V2gSrG+GZtfoU/i8SJsjBqKG1JVqwbA53ku3k2EtKLuE9Tjc2F7JirRU2sCjOaVZeyLYkiHVypfyLjQV5WDnYBkt0WeiTRST4R4IL3yW5Z79qwcLen3dsX2ZozLSWD3IZtOqBe0Bdqaaz2a02ZoEy9EQTUvOrCb0U2NPYKx3htBtNAdgCcl4pYhN3hOBG04UHqNYDw/J+OuK9JIxv0uY327GqQDpSrtS9gHzAyn644lzkS5ertR9S1+3eU8BrLBWxFpRhwH5nqw9BrWeZFcyyizxmnfcmONLZY/fpZcQlePYgtk4V6Q5IJ21s+sCSWGviTNe35sW28dKQb8WoBggAktUeNJbTZC0+Q7z0toi6rLetD6c3i+Yvq2QJeP0Rw/49KcJXRuB1GAXWqojg5P6ZmVu9NsR6STIR8X6UBBPEftPVMKdHiuGU8Xlc4pFUcSVY1WNMfvwHwX77yuunyWcfhIoYnRv4kot2JdGq61pYxu17zNxn8mSKh5IhRWQiYEaErM/CsX5Z8D1S8HwJDh8Y3s4MHCaPil2H0gfvn5hZ42JRDGhwwB3eFHg2AM+0nbFWFX8e3lg657Dnzzipw9P+I+//ArycyZ/WEesfE2kv8I9wLhIE1AnZYD+xYxpt+J6GYFH2orlJyx/mL4ZMD4Ch28rHv7i0lsQetnLABM0U9SDYH7HZ50+UIwrennXW+Bi7YTqrtocmD36ABy/oc1++SkR9jr1OfGEwuF72snlbUI+cl/l1QS6fsn1u94ziJ9hCYLY5zRdSN2e3wkuP8uQRTB+IhX+s3+fMX1Y8fRHO5x+6naB6P7dzytR7T2TXVKB3ceK8iPgzY9dfz/CU4YWaIpo0uwDHUcPLrz+rwci5lDUDc2xKELOQAG0OUA8vALAzzR6mfdrdXXRpgAZAnSQTU2atuLtrSLzDapg2WcBrM4B2FItPaNWp8Sa09Gl2jcf16TauQHoVAAuSuTjpEZVrLvB0L5oVKFg2X46/WXom8qDufY9tiE9s+sU3obQRkfG6GRqUWgFqghWe587YKydQzM6aa6IZ/Zxa21DigUxG/Tu5rI6XbFgzZ131oLJhva4CTLNCe29KTk/IoBz9wHpwVl0A9PrBbyo3oMbwBMoROQamlY9gcF1I8PQ76XVYvZTSNXouBunqNVzCe/7B61mVKEFEBHG8lZT5uuOSMVm/NzJdLTcacb+O78/EdYWXy2YbDRh6UFM4c993KVUqKE4CgW2B6yDGZ613zAsts53q9GOMFQkbPYUWnDBVkscDw8WfR+0Vl5JUPamWmkKenknyF5vK/27nba2paJxXjf3BjQ6kXdLULjjyeDQlRP11Tyla4CKIkYglNTp405b9Z6/m3XeAzE/ec1WbOnKHtSpj50JXPm6c6r6Zu4Bd6bRaEANzfJXeID7Gr3zP36v0whv9dVouE7R3PTt7qyGTQJui+QOQw9SfU1WRdzU57W58lZXFgg24RaxifI93RAI6X9Cp7z3EoZb2yLb3716TRPpqQpY2YNT+qRyH8LPjbZmbhdDsxnb9bc9IwRUuN9Q/bd0YdpRp++7kxTQhFLMZm2FThrtNWzuQTYAst+HTctG38RaXvTAoq05t4+bIDlGABLMXlqN5xCBabhBzdu6iEQ6uYfB5EuMbb5ElXbA2VkCQ4l9XfXP6/ak7+/eXgwcz43dcWe2DibCtKJTlo25IEZ9/8FldfRtvav2xOvW1uYK1Hw7/0VbWY+XzoSVQmlteJyyq92eEzkh8tuYIT4MRjONFjS6UCaT/P15adfRlNLVy2ailVkFW+PVxNW0B5k+z42Z5d9R0RFGvy97hi44w30ZzTdpZRC2tjt6aJ8ZgGqGjclnbcHvTQ05gNYeJznrA42+6cmBrbgQAEgHQe1e+zpfD4KQSTn2pKckdldYjgFAojChLct1HxCsX+orfa82R3GpVOlWJZAykRbeEhA2xv2N/f1tL261GII0DZUtYzF4JYZQ6tCfzQP+kC3QAeBlYV2gVREvXdOitVOzefEEu6v7S0kt6S0pkspr1/JmhCZGnesxIM5oXUU8idzYCib+Ji+k5MaZ9zo8CYaX1BgkrtALBMRVMX7a2De3/ULk9PouYd3bPliB4aWzE0UZUHqbHiYF0FS4PXHAciS0RFhvw8R1FM5MvjGgUoSrtO4bnphaLGCNC0ynwO7FbaatTym0xfNblkrVqbcU6mU50ivSBFjXhOdlQl0DpTx8DxV+B1SsPdLtOteoTIAsEZcqqMvmBf665HX2gutXnMcyhrZPfK+4QGFc+H+qOgvihT2ovfZXI4AnJnTznSLfFdQRuL7jd+djb5HkSazhhcFm3oklfjZz7fOzk7av45XoczklJiLMr8l7Y+eN5hdn3l+8AushADI0JJ2lIzZXkUHvck8th7BYvfGPtcX7kevvJcjVIVm7kAn1MJD+ZahFuBajBxeExZpa3w/tYGa9baChngvb9FRt8vftwNoNEKtBqFNqKCnFRwrksgAxoNzvoDEgraRgaTR6oVLoxFWQ68jWB/wORbyY8tqO4lDM/KV22KgI1gdaZNJ3fGNvKEybK86KFEp3jIDNQZi4UBNFItwR2tZDMOvFhZSu6CjO1YyU9Z66yUIlUizWPe+tWJsBDrayHmwXbg4St+LBsuvpLAjrgDD3fpJDVQS8ajNSgZY1XzPPmWuEOPXPAvo6bihzCjobQOuT6ge5Vpv/LMxmiliQStrQcsfxSbNCzu4sMos0PlH8hGi/ABdD3Ysyoy+bFk8Anbdq7Z9KBa4zNOde2xgrKahbp+h6BQ73XOeR6AcfxCY1O5rJQF1UMTxvAgvYujNBHl9TOlHQKZxXrv1NIsFb08hl4b1uKLS6G4jArIbO+PsMsVGp0CnClWSdkqqthov7StMmMHX6pQVtLtrREhBOfTYEp7UTKdpev0VrPYCpU8Dl84RiippOUS5jd3y8Rt6FxSDmG23EadphrLbWd+6B2F+5H1Ktlteulmm/spYoLgHTFBAWxfi8QuZCGuaU4KrcUG3CZU34Rm3uI3p5QvCEGKDC+eXr9MaRl8beYJCnlliTzIyrH6bbew6F1MZWs2dj5e1AeIAE1LuD0fNXJiNMbAeq0FLRAlkJpHnGCKorr30NA9DjvrfH8vpAEYQ583sOA/d0VYoKWvJySw2tY2KNjiEQnhxxWnAdA4K3LDOVZ6kKnYbWm7OJN50NpUjRkqLWTqgo4krEorVf29S631wW8Lhgi/8sZGslZQm3bSBVDZ2vY1eFDqsF88VopUPXfQiGzF3fRrO5tvWtTyK/k2uQPc5h+5CvyXv+zGuXnKLeaIvBES531BTFF78FiK22N6K14okzM/AAyEg6JCJR1xWtpANgcmccWvJYY6T9gO39zH7UbZo3OgJtTLbIqa9xgfWZ9CSl8nNCd6JEuZfZakMwPdZG+3Txsnhe+lz62aNKu+isLktGaS6AVjIYYoQuKzDPN62yNEaEtWB4BlvU3FO7YPo4Q3KlhsVAJLVEJguGc2Vd4McF4bwyWe1JcXA9LPcMvKZHaUmY9Ly29e8JbWc4TB+NPTOyDjMfIsrEVkbj4wpRtqaBAMNTRpgzynHAepca4oiqFrT2dVVFEFeeMXUQYOj+Rcism+Q82hLaJKlEwXPE69MHJj7Ybq7CE2Q1CYVxpr5Ot0qz6cwEdN5Lr7E0tDZdOY91YJ9QKFpSJO9tHSfBbPupTLZ3bAvnveA6R6QL24nUJJjfGuo6DRguEelcKQhW0ajg6YV+Qd0lrG93qElQdhENJdY+Jo1ZoSbsZcF6maylTyCdfHnDOd8mKtNs9rwKJCmyId/xxPY4Ndl+Hk192Fr6xaUinlak75+hQbD+5A39pBKgmZT2cF2AELC+20OHwJI+S2ZKjtgyTx7/OKF8PSAfFLvvBfd/VZEnwfl3etmb+2DpAsRFEGfXAuHevvum4viLK65fjvj4Zwl5D1y+JC19+lRx/KYQZXtjCT5rBbjeA/NngT1vz1wP47PVYlpwna6KdKqc209Mgl8/C0SWBwbj1VFPAYWdrD6XNhk4/CpY/SwDyekja1zDwvZU615w+Yki31XEc0BY+JqHv6woA3D6qSGipv4+vwPmLwsp27sCLYL1fmQtbAWm74l6Lw/cH9fHCb+6JshzuhHFDIvg7uekbD//fsD5J7WvqajAWIGgwFNCOAfIoCj7DZCg9JFwR1r4+XcS7/0Tx7BM0mp1NcKei2Pw9MdAfpuRPlJ9Op2Bh/9UrWaagmnf/Zc7PP0ZsD5UfPoHNBzs9asQA9Omj4K7nxvl/CsKuK0PDM5d9LKOwPKGa3/3a2B6pj1Kl96mtQ7A5StLmo0KWQXDi+D4S9qb00/JpIgzA9h0psiURuDyOUs2rl8q1jcFw2PA/lcbxfX/zPWbB7l+6jVxDs9mSTMUN7VXYeNYbM7EnvENuNml/h2etfTnMif6Jsu/vV4jjmbEtcEt9jLPXr7+ShGjW3fjq4beeibvB2IU7TPRqCo8MG5/X0Yq9DEo7RnRbS2eo90dnbX/Girnyr/uJPR6ZzTJb6/XrSM/yA8Lfr59duzGIwZAinRVaT+8DTlvwcvrcQ7h5uetnZMlARAZ1KoFgEAPpG5QPAUd/6IQr7F4Fag4XdOFW1oGrqXW6Eg1KuTraztfGyROHKFtX7YJDABDMbb3Iq9uz9Baf46q8BrVFuRG/PCetuO5Eca4+Z2jE06hfY1SbH8H8LATAUq4od4Rfdk+hN58T0dypQWjGg2ZdrpaNhTTs9m6GQPhWPrvHG2iMmh3XFoW0sRIJAOOtktLl6NTmtqYb+ZZ+p7wrG+wYGTrFLVHDSBVSLvIUxnNCb+Q7t3m35BQ2qmwsRdu6+y/wYXhPMCV9ntHQ71WkZ8LHiAqt6ZPGcxWiAPFZpd6TWYLcDfoTZtDP3B+LNvWvuRHDNWWMdBe92qPb4LXruqNlpi4eU1DanH7nptnVdwk/vylbexxa4v/tv3i9f1FoUF70O/2Z/N+Ohbb8RHWhIr/wc16AdAQXjXE0ue6PZ4nN/pH3tSRAwxwWxBQ+uv6l6Db2u1HOeLlTrfdj6O+4slVTxoZraxuBEakcP3VJAgVcJoxab+B9snvyda5ui3frOftar2h2PuzBPBz6qs59b2xeaa2fl9dN7WKHjDZfMrr17uLsGUsAOjt7SyBp7pZigwCbj6Dv+BfwYxL1Zs1d0OfLGhlUVIputYfoK+lW5R6s/8DbXeIVON3BWnOm9nNLYLln+H5KQMLqiXiYOe+BOl10O3GzVENf0Pbs5Ygkx/Mh9vZ9r225f27tiUlDERsT1c0MS8JgC7CZLE79ubTt7VtSH1Tkndfx+xZGft6pvONFnQ26mgV1A3d1fdHKbTzGoTr19d5UStJQdMA6XP4o0vT7LPbmU7j9jKrbge02y43P6/XT739s/3Cdr62M66j9zd28LWfANjZRTVwLR0RzHsGiHXUVqLmZ27QnkgLdi9auT5vbRETkt6Sys/eanaL99i1AiK8LlMY0FjA5EJSISvg1YYLmQo3orCZSQUE6eQpt4+ir84YS5xEysaoTUNn9qGhjlR71g3DpiOgTvvVVp5gdsF7Hg8MNIOtV0e0EQCsAbUI4tr9KP/dDfth2tiVYD5u6A5OY3tsmSRJjQZOmjeTl0Z9Ths0N/X91AcS7bNbYrygCabF64SwMIG3BRC0Sjvf2zoF44i8V5u3zi5Q4X2q0r/z808Me9GonTHg67ZKMzTV9nreW49p7eNWfVPqZg43c/93uX7zIPfxBfJmgO5YzB2umSidU8j80BBpvee8l1NT6txkgcs9IflGc75mZms3BimUXg8BNzQHe99qokCqnT7pAbiLzbSMpZDqC7AFg3CSGkLbKGDSN7f03oXt+7XXVACcII1oDdjjzDoyFooTcl/u7DPtoFnesB4C5tiG1aTJ1cQAdqZmdkI7DFpm0w9E+//1c27i9YG1ErMtDIpQiB0EdmgMtnlOAXhmcDs/BMRFmsNB9c7QMvrBa7pKhU4j6htrLxOF2ciXGVEV5X6HfEwtW9oNFZg1tR6xW7qjVCLuca1Y7xLmNzTYcVEmv16sBuohYj3CDHe0FhsV8VRabZNGAYaNkEwhMifzBhUIAjkc+v8BtpuYF2yD3HaZA+gOsydNxFrzkNZqjvCKHhgA0FJv21gBkMVRwtpQFH+9LBuUbUid9i1dFZP0fbMcudDhUQu+sikHO+oRAhEqmBH3GnKrVyqmfu60vDoxu8bXdwPqZQcqoLEyo+P1aPU+mRPinys88Aaq6NVR21oImfXlUi0Zo9Zawx2fduDb427oVY3Wdv+KCmRqhCpgxtQPLQHyOaDsBWHmXoyLQuOAOEekU0E6UxHd222FnLjulwwsmeIKOyKHXVV6E/B7bbjZk1a7VSodQHG7Yv+25EG8KkIyJfNqa1e1K8oXIF1rozhK7uJnkitRYjUks1FQ+QxiqtAoFOTRdQWWpTvf26RfNnZDCp2yaiUaCNLqgOsYWT4COuwQR6jYxqIJqrWkJwODcFkRLrxXDcFKWyZ4nb9T8YLvLxMBbArHLQivDYXEkhFqb8HmysscA5ubSNvGQ9iSlXtrxeFry5gnAJpj2VrYFUGdQnNiRVmz5wkdFwuk40F0qg48vMvOhPQu0hgzW2ckZDJ0ANyUjvh6b1RmN09HoIzmuO6NXutOykyEpawsdylXQVijtZjh+ky2XsNSkExM0VkjnA9jSW3FJFsCzdajJYVc4TW2oNwSakBDuoncFbMvoTGI2IeYZ0C8KFV23XGyQILMgAAcRrRevK+FAa3/c2Ms2HqXxHNJUgRGtqLCCe09dYg3YlAAUA5Ugva13JFObeI/ZZ8oFGlIL9cL3x9nCgDGpdc9w8o62HZHEeeCJGhJtZp62710rhjNvuZjsnno/hGZN5v16qVf9llxqVbPiUbFbvRrT1wIa8YZIBhDxUSufG2jAsOZKGg+sE7Pg/f1KLh8JSiTdlpjQzEV9Q2/bz0LBTL7kHPtS7fj6QqWmFjQ4H9qVOjE15RDBd6s0CKQ5wTJgnJgwLKeAoUIjeUmhefCumeQW4dAX8/qWL0bRh1MKb0oUqbi73oXUQdBulba45UIayiK8TEjLBXLmwHrkYyxfEzwjhRR3X9Ba3/nvp5GPme6cv+sB+753fvK+7Y5S9eC9DxDh4j5Dz7jXn2ckR6vBAls7nVHgxBPRPplXiHzCh0SNTo2bks5KHbvGRghAKevA+KsePMXheJkh2B101aHPLktQxOHehwizl/eGWXX9rnRruc3gfXS2s+phtZaIiBdyWwUBeYHligev80YPy5NcHW9C3j+vYiagMOvFLtfVSz3AcuDKXOb3xo8IW7rxNkD9AMq9D4DoDZMKGgCYLv3gH5MzafIe+C7/wpUet9RFDE+RtJnF8HxP6UGfmkEzr9bsP4sQz4OmN4H5IOifM4zZvjVgOHFO0Iog8GHgpwF6Ryx3kWcf1bw1R+9x2kecXrascJovyLGirJfUYogCRCCohTBemI8pZ8vQKqIsWIYCs7PE/LLDvGK1uqpDmpnBM8fKcDx54L67WC2iEH2+ctgSbWJduZJ8fAfQi+ttASRM8rqwH19/iqgTsD8eUVNwPEXAdMH1sh6GyTfv6ef8izy/stlUqzvyGidvktIF7J28k5RJ8Xjn9m5ZjbK9VnyjhRqKUomkgJxCZhfEoYXYPehos4/4p//yPWbB7nL3J0QoDv524xvBTiDZuzt8KwgldgpbRqpzMufMRCNubLmzw9aO0QldzotLAi7qe9ytMuzq0C/J6fkOHU2CNT7HNrGbGiteDAOe60HmJtUF9AcCL+qtY3w3lmAwnvd5b0gH2nYXZAhHxX5zp+NNQXjE8eumLGJM5rQCCxGwU7aIeOILxFcpUT5wOJ2DBVYAuRKy6CDZZDGCkkVtQyoF4W4+psZCalqip6RPeFKtWwZx1iHiLLry0iqQl4KW1McxpYk0GQ1Fy4Ec1VSaKuiIkCkoy+kW/LzyiiWKPAeqHQSpHbFyTwRhR6rKQ5u6ME/6P1bK+mPW+R2SC3Y6LVdt0ju7WTLD/8O5TabXoGmgFzRHR5fk752a233tlVn9Xv1oIkJG/tj77u5/N4rANFGnW61xBXm5Ng9eIbU1jvb9rQ0W8tak1rJv0Pg/ElxFEls71vGuan7Aq1OxFFcy5aWnVpfuu4UiWVAa0NXgGRGd9sf1q+GdAQ0AYc6WtJGtCVSEBRICgnaEOKKhFwiYlCUqzv7gAp7H+IMeK06ACYzTLzLa87V2pN5/b7bia1FYDmDKXUWHyu/f3txG26zW+Ceq6A9CZ6Y8sym9Ql3p3eLVkourxx/sQ/a3JUJhKm1FWrshe06z5voq9HjGfioADFbeUgKqO05bA1NruQujY6Pbd0m0CnK3obN1NghQoX+Utm+yBND0bNiG1sv6KUFxuQRVH5WW4scSAWVdxH6eaROnzWbJLknJ7wne1gtdSw2X9HWuWe9VVoi1O16HTbIk7XBqJOiTApdmH2vsO/DZlgsqQmgZc35HzRUwFksAJB3inJgX8J4zzZKIoqqgnIaUGcPJPkheWf23NpSMUsebtF0D5w8mbxdX74WtremIEpnCYMQO5LjlyPkwZOjgbVp8iO1VCHjJlG8rTutUSC215jE2bzf11gFti3fpLEKxOxmRBck8DmVFsg2ZNQR1RRs3KXdh6vu1iiAlXK0PqrZGDPZz/DNQPjlyWFnOJgyvlgSnZTDinheUQ4D6j72sgD/vI0/09DIzd+uXA2gJUK9XEgNOWGix+m12pAytWNcIa1FDwNgWFtDPnveUYyojNruAxVkRiRFPXAeskSEAR2tLdLXtDnGkhXR6u58/7j9ZsCg0GPBw8MFa464GJXWxYZYfRNYg3nxfWzv9+SjeEAkPAtqRw6d2RBgyamRQQ60dgZNASnzc4HcJ3h5WUuIFXR7rPye9pyWiA1XJrp4DoqVoWxUmhVM4Cy5iVZKVaT3F8jpAhx20Mjg1luByWpCiWtu/oAOEdoOUn5fugD79xXzG8HyuSAUwfQxs+73q4m1ulYeQP0Ie+9A+7U6tdqXXfEziehm3oNKuWci9xQ7UsSF3yUZrR+wl+MQUWTGI+8iyiBYHui3Hr9RDM8ZNSUKfqm07iGt/Y0pFAPdZuqoGHYZ+ZCQ50Ak3+wm14YbBxON+npGijxgtQbkVSA1soXNo7aEZBmB0x8p3n32go/rA+ozEeq0y1AVxOuI8QlY7pmo16jAVKCR5QcAgPsVP7v/hF/HewpMARiGjCEWxEkRg7XjqwFzjsjXAaoMhA+7GWMq2KWMXytQh12v6R56ommr2TA+aZsjqaxvzwfuwXXPDRgXUoI90eKlDTUyEVMm0rLzgc9Vd0wsxWvA/kPF5V1g+6DQxzU/FGCqkFPE8Bzol+0KUAleJPOvgvmE+Q0nJZ5C8/XcruUd11D8UJCuBethhEaW4aSroiw/YmN/5PqNg1w5HHqbDTscEILRGt15sw25aHOa/HDSIIC3Ggl9wLy/ror9vmUZ+fuubqrQKbR6K38fDXxhHdju9jH9Nc0pHBORxigNXXQBFbGgWIOwxjV2Yx+KtuCLvewYyGrsioViCwhVEUZT+9zA/+sDF+ryrgD7Alwi4ilCk2I9Ek2tVsvIN3Fx54MfavxZnPmnjtZ4HX6YKMI+Y9qvCIGbKYgi2KZ6Oe2wXllD53275iytWXmcjdoxCkQtY2fOjcimztXnPwrWz4iM6uC9ZCtksYV7YIAQF/bJbCqd0ZQPoyBdCxuzXyp2H0tHSqKLccXutFmtVMiGmm3oZjcIlwcBgPXArU2oB0Hhiq0usoLBhHx8zWzRUvuZBhNYAwBTKW09ozlU/CwxIS4LjkgXss8O5mStIBphzhfrGZ1LFG7pyE5R3tKW/fLfBQHgkamJUtVqbTC2TqIdWGqJKZFWh7h1EoguMZCkeJQ5Th7gKdqh7wJqZRJK0g9+AChR16kyAI1Kqs8YIFmomJktSJjcscTNvm81HpsMZnmbEaaCccoYh4xgLxZRRKMdXdeEdY1YANRC21NOHvRYUD5IV0B25ESEdcFhwyRZaFe2SA5gZiN1sZmG4A8ByEqU1Cn6W3pWhdGVzeFSYLig0ayqoQWSHV3YBLnuLE/s4yBr7uui31pLgqizF2IAxGxu3Tj/8wocDA5J0mpkt3PgTIIwW99aG7PhcYWroKvTvI09oxOdL9kqk1tCxum6umnz0l6zvSqo2G1IY90PDBDnFVheIcATHcK6TURYr/b1GNHEoQIaFXGLoHq9j7dVoWPHe/U5r6PZuwOZOXUwRdkRWN5U1H2lYxgVNQsg0QJqEx2y7/Wx9Qz6ts6qOy+KeqQDVR4K4jFjf5jx1f0LgijmnFBU8GE4Yrkm1GuyQC1gmaX1NIyLAHN3rNnyaXMeWo05YvgB66TVnZutbowiALUYUlYsoSRk6Ki104HX89tGGc7GhrLxjgud44ZAag88qSRegM2exJhamZJsnHxf6xrMJw9iolMFKF1jIVwXCjJaQOWlEi4SyPm3dd9QarvfuHGer7Wxj7gmgp1zFlRbkByyYnx/gVx7MkpNL0NyRToXsBdxT9I2pMrENesuIsfE/ZtZ+tPWj5X51GmzvkfhWF8qxGtjJ0GjCisADZvksidUjHXzQL/JVYeZuGFQUyNIUZwq2I7BhisL5BogRaiAn01Z1mpxG9XVSjPKiFazl49Oc7WWMBbIxqlw2GPF+O6KWgJFZ5SJ0XVQlHNAugTobO2KNsG5OXJtnMgecy0BNOTa+68748PVlSFAOaR2fgfTUIjX2s5MAF1wa6HwVRvPyPFyRezhhQGUI76OZOdiQWwMSGeiX+Vhgu6HnlR2u58ExZgo4TIgzGtTSt/S6A/fcF0v94L1nvWUoTgjJ6MOO6x7Ji5c1CxdFbpybdaRSbKy34inVU52WKU/X7VjJAkFwAay28ZP9ImvnxvgM3Nfn36ScPn8odnAmkxlOXKdze8S6uCK29r20VZsySms1dYQAJTS2TaaFMXO2+Ut53Z8pCbH+CiQP981+woBBqOT11Fx/dLm1JItGCuWnNBoyirIJ9ZbyVFxtWT5+NGSnifW8O6+43hefj3h3999jVoN0DG/pNaA83VAXiPujlf80bv3WGrCN7FgLRHRDt0PT0csLyOwBAw7betGiiAWAMZiWB7E1i/vffce2H+oWA+C9U7hAqEuUKXCwHP3kWOwmkDXes95Txdg957zIzm2vruPfxiR90C+J2vH91c8B6j1xh2ebe/9auplacrEQXoxVtMvI0KhmnVYTWSvKPIuYHkj0KiMGSL39fhEG3F9G1CWrYPzN1+/cZCrh10Xqwie8Td1YyuGB8As5pqtr13oCN/rugh0gw3rc+tBzY/VkImhyMWFrooYLZWUUY1s3cFepmbUXFDFnDAdIsqePWqHU7FDWcAZAdzL956zbZPNglRdDc9aVCChei3Fws9vB+AUEKwtAsDNNX9RoGPFcL9gnDJO2AEXGtd8cOfHeehcGHkk7RPgAmXBPA1nrtKQMpizMUwZ7+7OeLe74A+PHxAspXUpI/7v3/w+Vtusde+0ByAspHTGmZRnsabsTofUGC04kI4I2p/8wLGMM/sRh6zdIR4G1j8stYl9iQlBzMexUWfiWhGvGXEuKFPE9YuhO4HmZISV2f/hXC0AqA0VE1WiyecraZqrBbv7PdtcZRC1Uu2eWggUUVOlSmHYUJ1j6uvZkZikTUVcQ7TaA/t/NWVXX7PVPj8GoLANC4Wn7OCsdERohCJEag9gvVelrXcuno7y8hc98GwtWaahI4yWcAEKXBTMERAFuoKsWAZvowhLpwBtnhsgYs6hNivC7y8mylamnt1c7yupMPcZcSqIqWAcM5YlYUkjsAZIjUjFkkjuRNrB41e1+qw6kMamY8X+zRXH3YKv757x9e65qVn6VVTwi9NbPF13eAYw54CK2FodeG03RWHYLzeayJAmQQ2BQWEwtshK1F4Pg7W86vVtDHIVyfpkamIrkLBV6g5ijrI5nFDA2si60qrbqrwLLWnlAW5YSw9KcOv0i7WSaAjWli7v9YEiXTnX145fy0xWDWD71ZIrr+wuiiJo7gJ+VZE+XRFOF9SHA/LDztDnYo5IpBLoWhFCIJW+5FZ/TGo0g2oU/WGQW5rnwu9zCrUC4Txbz0u2bWOCJbZAX52hE6iHsB5oQ4opjAZDmdx5hUhrZ0GaYW2BAdEZaQ50jVZ+8taSOQ/Gnvlswf6woJQArYKSA7IAMgekk9AJrtrQ1ZA9yIUlFa0O0bZVjZYlt/X+5njBl4cT/tHDr1BV8JR3uJQBQ6h4HHc4jyOWOCIPirBGlJk0QVd5d2SwjhGobPMmhra0hEDqQd5WPLEOodFXvbazZoEUV6I2BDGTreN9WpstVBMl2ehQOJIkxZSLbf2p2Hk9FzS6eqSNxICe1PG17TfsaJav7TXfCAnKdW6JbDK37DntXj33cnNt16oleqIln+JlNX9mpIiUlSbRJpCJNL7nfbQkrHC9S1Wkl9WS1pv9GoWK/VbOlXcR+RBIp71Y5A3eUzxRcG7+8oD1QERyvTNdhA8UQlruAttyrEYNt/UsVYzObt8bgBoYrHREFJa0dJqkQpMiHDPGKSPGihAqzucJ8mlvPgnPl3jt/b9dC4T2iChRPjLBXt9kSKz0kUQRU0EIihAUqoIUKt69fUYQxfvTAfOcEIcCHIB1GFE+kOIp5nV7Wxug5/FCMXt9eYW2i1PM3TfzWk1ztPcBwfY96zIV8Zp7kAygTtEo3/wc7h+u8+WeqFhcgPG0FRk0v6oCAJWe41KbunK+4xlDX4oJEFkragr8XRIMMZBh5IHwJsi9+0XB+hP2P13vQPGlS+SamouVVnT1bQobGYptonjlSzEARDsTQ0KjDnsdp0ab0z3taZoVwxm4fkYxp5AZ9EkFLl8J8kEwPAH77+ljplO3gfNbll1wXdIX98SN+6juFxRLekMBzaExRfh63nO5L0BUhIWo6/RJsf+Or3HV33yw590rlreFdmasQFTEqWBZeN5UTz6dIxAU5VhRjsDum4jpo62pQL92eqT/e/0u4XS4g04Fw92C4EGuCubzAD0lrLsVf3L3PedtmHHOIz5cDjgvA5bnEbu/Hsn6vKvQHcfLWxPFmfe+3msT6iKKHxC/UVtLCh212wWzc8NjQLrS1i4PPBfXB0U+VoRvIvYfONDpElBH4PwTweVrikLpwL7gYgK48SoIWZBegOlRkS6Kw6+5ll9+OmC9E6NQM7C9+2VGvJYftBi8fjXh8mWCKFslaVRrgVoxP0QsnwnKphTib7t+c7qyGWodrFawcORYP+jtd6oJTcUbFJfv75lKpwuTuglI7C12tt9Xx0h1ZUMmNEqr62wOYAhUjHT1Q0U/pIaI1vsS4EFjCMpr8Qy//CBs1ICIVv8BBIR9hOTQsnkNrbEaW8AEp2yT+uc4NUdVmEgfKspdoTCIBqt9sDrF4ocSMywe6Hn9Q7FDhIsP0H1F2GW8uz/jd+8e8Wa44vPxBWuNeL8eMdeIKRVcjyvR3CVsKB3KYC0CsO+tSVD3yfoWFjo3U0LZR8sw+mCZ4ffAITo6aHVrXtfsAhqVWfp0qZYprZ3uKPwsb5jOubDsvlNB/edBaOwtGBWNRG1TZF2iKS03VWX7f0M+rUVPC+S36IAhYI6qukALxcw2y1PVWn+4Q9eNHmAOy/YNVXtI5k6crXNYSw9vywVVOj0A17dsPt9e35Bcu+fWS7a9bku17fWk1YKuJqrhSK6tc0AhIghR2yH6WjW8iXLETSIIXN914IERBga4Mb4SbrnZbGgUJ1HbH7ZP+kD3P8HoyLu44n64YpCCKWRUFZzriKUmDKGQxeCCEoGN2FHpELa2DpEToYUJLu+3ShQwGvPAeuuK3590Cp4ACusXCbRAdrsWQq7QwqDOBfgERtt/RX1LwkMkei/L7Xq0dUBWgoLKw8a42F7bZKOJ8tDOaf/Zq4t9MyuClL5egG6/N7RLR0eI1k48C9zx27Rka2tlG5xv2QmNXqo/EOv7QaCtvR+rK/tr9O/1z4FRmYkk14nCLKSEd9osa7c7utS0FeyjapKWYFABqqGddUuxBOdfB0WdKpLVUYkoSgmoKp294DZffAH1i2imZ6akK4sOCuwK4lTw5njB14cXfLl7wZt4QYXgUkYsohhiwWDBQRNr9KBt4/82x9yZCBZgNRpn0a7DZ/a8Rrbn84Dw5t4r2pp1JoqCc9qEkWxdS+2obavNXy05uaFJb4UOWYcrvY2gCwgBtPFiSW1Vqoc7+2VT4tEo7oBRPLU/q32/DoHTX7ULp3jw6cPh4xjFteTaevGWPy6sU6ONh/CsFMtAN0HAzHponVwk0AL88MqPAOBqpm6nfYxEBWGDunvSJF1sPqQnHt25bRoGcvtHMpBWqqm6hogHQM1vSbYek2KcMu72sxFFBCFUlMEXGwOUrY5C6HkGK3uyfwdAUkWIihC5fvfTimnISKFiiAVjKPh8d2LXCgCPYYclR6xLulnn/m8/w9p3wfZ9EMgYvCKqrUNni21tQKvVHjf1z2Il/i7WZvamDKEzDgsQ4G2niEgCVDtvrZli/45Q0JAsAHbWGGsnm3+7Hbf2Hz9vA/2my4qwYSwA7Cm6+wScrwEaIoYTGgrsgmDRBK9kQxllP3ZDeE0IVDKTZW18rE9qsGQ0S+/s94FLn/XH0tFyNWBm5jh514XWk/XMIEi0i5bRr3VbwN+Hua/bOgDrU0TJwvInMT/dyphkIbUu5I29t89ua9OOk7JHL+dTWLkkky3uzzdrUFla6P20l7e02WXvYxmQLgziaRsV+92KFEuvlttlrAJMw4qnvEPVgJd1wiUPeL5OuFwHICrmL0tf55XBZLAe9d5ZJR/VxpF3uB6B09fREF47E6TbeQXrti9fdmaFU57TmYmM1oPdzdDK4FoFwBx9Y0EUVtPM185vxFpNca1dPycLxINyfhbX9fXrQ2MNMqkr2L3X5v/XBLIX7CbGJ0VZ2yz8rddvHuSGgHoYUfYJ4VoQTzMQI+rUW/QQoQrQ0WyfOYi9WTxbBNCRTG0wNQjKIWG9o7z/8JKhAuSHsVN2qjbqnOSKcGKGtt5NqIcJ296IHmDUKVkw6ic+aUeABydoDqzCNoLR29hDSlqthVQWbtcUm6GSqq0e0Sk6AHnx65EZrDIxU6+msKYqyDlit18w3l9wvo5YZY9wpdR2OvGzNXKR7N67s26GxWT6iyEAZVIcPz/js+MZ/+XnP8f//PgLRFQMkvGh3OEvz5/jad3h88MJb/cX/PX7t1g/DV34Q2Dqc76haEjmdwMkA8OJQgzrfcLyQGGT4Sm3gx5Gi1XrL7YerIG59UAs+9hEapI5N+N3F1tTgLdpUXCeh1MhlWXHWilvD6AmfkK0KDQDHAodLA37TTCmkNMF+uLqIwAktKBRRGi8SoHmfENva310U2yMBQB0tkwtnDV7dKqhTplHQ55a0AlzcMPGMazoDp1RoHQ/3Aa9tUJQDf3aBLQmWuUiPbKYA1cUAqKOFN2QjtJ4f0BnUtihwHpFmFgYs/dhpapfKIpahLFIVTslOvpIA0nDRodIunO9K5Bdwe6wYDeuWEtsKFf3vLmWo9Vu+FrY1jY11FUADdw7wZygd+MFvzt9xGfxhN8dPuKqA/5y+QIvZYcPywFzSXgJU3f8djx88lXa4RUXMSFio8Qmd9IEwUSNJG9QdnW1xj6GUK5F9q2snQpr6yUYq6DuhpuAMFRDP0S62Mx5k0zwNWzq4d7CJNTaRcpEWD7SEhy1tRJqCbxSKNJjAj6qC24uR5qWzNZsQ0K5py2t5ox7S7hGQw1AOYwo+6HZAA1y04amKZ7783gQ43Q0ATBEUvc9yvUadDCQb4FxUYQz9SDqwx513HUxrohm3+OSEdaCfDdgfjAhwEW5HQ1l0wQUC9y8VjHNVsIQxJQ3FfHaA34xxyrvzfn1gPhQEPYZu/2C/bgiF7agCUFxHSNzAymiKU3amvcAZHgBIIq8N+TsyAx82Vcc31xxv7/iv3j3Lf7h3Tc4hAWfxxec6oTv1zuEojimBdgB53kEcjCnFDfBBP9h5+vegqvCBE4XDdN2FjQ6+RSxHul8u5hJo/CvRl8PDERbezGF9byvEEgTw0vnVwyu2mvInNZcrOcwS16KMcCYTI+XlUycGMgmqxUyp5s8mJ/9rWXWphZYz+fWLipdC+KJdM/lzWB1XwXxXPre9vdtAmVNxnRYakvCyFoRq0IyawKd8qoCrPcDyi61kqbhOWN4fwKCWutFIYPF6NZN12CMzacgWtxtTm01jpFIY7C1uirGE+3keqBwjAoRZcDOdWcxAC2YiNeK4WlF2Secv4goe2nmueyJcpUJ0H1BmAq+fvOMnxyf8PF6wOO8wzAUrIfCNWDlJ2GlvxRWCoxxboVsbg8oRZHG3JJDKVR8ff+M3zk84RgXvB3OOIQFfzz9GoMU/Pfjn+I/nT/DL17e4Lv5HsihKd96LW3r5+o+CdDsNrU+QvMVbuua0dg50VoBrUcisnHh+JYxIFp5ThkN8bZ5jdeKdClt3dTE2lSitKQ5q7FAACYjyNBRhFJRvZZTgfHTQjHXKVIMUcBku9iesSSIjgG4ZoT3Twjl2jeBAA///iP0r7/B3Z/+Ph7/0T0A0oHxjq2P4qpIZ2U/1cj1ouoinxXnrxPU2r7Ek5WgVZrkdGFZm5cylBGYPyfTavxIXZnxSXH/Vws0Cq7vKO41vCjiBXYO84wtO7OBF8X0qWA9Bq7dkTRab2MVFtKgd59q8wXKKEDluNXJ2V6KemQ96Pg+sm77ajbdyp4ANPDExZLyHSD7Qt/k6tkkQYx8YZyptlzNb9t9LxieFZevgJc/LNBjwZdfP+KyDHge3zShKgCIY8UfvPuIJAXP6w5riTiOC0QUKVR8c3mDpUR8uBwwrwlPHw+QU0L6bMYf//63eJx3+Pbn7yDniGBCtGXHP+udAj+ZkULF+jxCloD5y4rlM8ATTk7HRrTYQ4B1r1i/UqAIwnNEWCzmuJCFka1Vo2tDpAuaCrInM7yDwO4DWSLn3xGcf1ogRXC+cr2ubzIwVqTvBuzeO7W/og4BH/7hiOUdn4cU6YrP/l/P0BTw/IfGTpk4z9Mnxf1fryjzK7/lb7h+8yAXvgbMElYYncgdv82xowqBZyilBX+t1+bm0HTF2Ja1Eh4qQP9s9nETZmid5uMZfOmHk5jDv70PFEAiUE11rxvB/mfrvL5iQHanJvG7PJPjWaoWqEt/pq10eUNxK3j4iiLG2mg/MVYsfphtgn6q4tIhbuPzOqHhB5Y5/8FESVgomlA1sC5XGFxX+wIX2PBM0Q/nGIZQaaMmb8dli+Ru78NrKUSl1Vs1aXejrBPBIn1Y2+knrQ6kiUNUFzqCBXGgsXfBmbpBvAwVUkijYrX5f7UuO9KlfS1tg4tWFxI6Ancz5q8+D5s9Ib1utbUY2IJt2+8RaQFwa1HTfrXZT9u/X7Vwaq9XbR/dggPbky4K1IIzLx0wh5vv2X7W5meh/79lO/3efb43tUje9FyMehaDolbr8/kKyWr1Yk4lVEdo+tpsGXvfp7aGq/5wDACgvEY2tRvo9g5xR48PpJ7siT42TBLwpl/ZJv/Y4OPs+1uh1UWYYHPU11WjcMKfy9CkiI5obVH4ze3/WEeg/oJNve7/r9eWxmzrypORN8/7GoV1eyEC23H2jHYPAUC19RZZl6QI8BohBBtb34ch9H2AjW3ZXi44ZLZetsFIQ7+ko2L+O+lz12ipbuMD+trY2lj/TEu6bBG1vuaZdGGp81ZMBP3LtnvL7MFWEKXf5Ob7nUoYKqKw//og/AMABUSKKwRZA9YSWbNoXyRFuliMJ52cddHWKxN8kq1ee3sm2vi1Xu5VGnzZxtXPeqfgG5PnB+emP2q9fX8XSTH7K5u5ef1e2yt9rciNfkKb+01y8wdshVcb6Ad78Qdf2obzh76L7W8xRK/ZVOHvWdd9+zmAjbmxylpZw+acCnljB4PVcRuy2NaiPWsZQ0Mj1Ws3/fu2Pk07k6XPb7O5PzTHfs++Z7gWzX4Jmt0VIZsmBL9fO6c33wu82sfSv7uxg8zZT7HikBYc44J9XLALK3ZhxSAFUSoKApaasOSIusQmhkgl9M3zhs3zbfa6n2M0x7KZW7RkL+vmtZ3ffeIAZ3j4PL5e621sK7j3Ip/Ng+etsJtsS6zMf25j4+2qNmJS7leE3Fljvh5eX2SXRMhuxwTIaoKSG8bhzes3Y+b3FjKo2m6Kytx/r1gvdlaF4KwmF8zkd4SVmhMeYDbfb6M/UK0NThkJZpTJgRtpNPewfS7zQ0JRMqO2a23zN4AbG9h+9vpMcVusoB0X7b67Ajlb4ns0SvCO7FEX3SWDkvW2l2XAslBEt47YrDUgV4o2riVirQG7lDEYjJxrQNGAGCpSJIVSsrQ1Wje+C2DPnwFdGKAvC9lKsoaGaNeBAW6wOmsxlg3L1mwNJiuf8zJEEwqV0pMBZZD2HNvuAGrUdrGfO9U9uKCoI8u+1jZnrbo46Y6Cit6tozwLton5xiQdO6q/BTD/tus3D3INsYpzYWY0AIjWMiaAGf9q9NbrCp0SMO5awOqUHVlW6BSxvB0BAdKZtOOQKd9ex4DlwcWl7H2KjnhYXWQxhE3FlU2L9cBEc8rSpwtrdI475PsJUCWFUFjMz1YQXTnRs96h2GLK2gx+PkqjaYTMAfX3xHmTGYteyyJNtU6Fhdp1AKbPzvjq4QVP1wnn64SSA2RXUAMbiQPS6lxC4aLZ9rGj0NWGGhQVpQZcc8Kfv3yBx3WPMWTcGU/gs/GEY5rx7777GT4+HlFygB4z6hyRXgLiFV2Ns2wQyABUsXYhRrUcTrWpHqsAZR8atccNcKPFrNraFsAcrjpF1tQCaPWkRaGjidooWksSgPOzRdN4jxXpeYFcN+irz3lRYF6sXlEhO2b+dask65fTIktB67voSz1Fo+Z3tVmnJ3m9jJkMbk6re/VkjywFUrIZEnPsAbg4Dwrry5tQmhsFcxoVoOiOB+BVgDFxrdfa1Tu3e7OgqeO6A9YoQLE7So62b+PBkNHRd2tL0fo3z0Asim2iojEexo5CrW/IKpCxQKI2578EQYxCoYiogGUZt70Eudf5PN5ipX1X6k50zhHnecTHZY9fzO/wknY41wlXTfjF/A6XMuCcRwYcJQBZEOaA4YWN4bnW+T2O5PnlzoAGimkQ1eYL6hA2QZjClXbd2YSyJgVVEdTVhLUlSJwG2Wn55sQWtVYp2pFDE9MTVaOwk57GWkptYmpyXYhwbROMTmn2KyVIAltlLevN7+R4gO5GQ/sTymG4XYe5sr5Y0YJfd8R9HdchoowBYa2IJ1PQPA6ok4Aqt5zXhgBP3EvTh4LwMkN3A/Lbvb2ubjQaSlvnGgX1bmfOqjRUTgfSyssYDFkIEDV0biYath5Df56CrehucyC2olCca8F6l9AQmxYk0gnIR1MNj4wkUyyYYkGpDEBLCdAcgKZMzrkezhw7DyDzvjvNXEdAPRbIVKAqmHPC47rH9+s9dmHFS9jhXEc85x2e1wnfvtzj+TxhuQ7whOvwjNZKwsVwljcsFfF1n/ehUVS9PjNdzPE6xB48oQcB7nhAgLWSGcI2KEubcwZntSGx3srJ/7gidzoVxGux+aZtl5xaP2B1O2dlSciF9ny5QucZkNDE+WRH1oGsGcjGygE6kwGA7HeNSl+H0DoEDKcMF99b717ZYfu3I6rpUpEubLPjNefrITX1Yg0c8+ljRmtBVJXLTUmNvv7kaHvcXn81anxW7L6b6UsNTKwOpwx5VORjMgFHNCrheoxQSRtqsLT1HKzv6HqUVn9YB/oS01MXUaLCKpDvB86JtX3JeyELzxM6AmANKADevxywlMgaWkucA4B4ELQJrLmfbQwHoE60eelsPlGJqFFxnC44DgvejRe8Hc4sOykjrnXAc9lh1Yj/x/uf4ZuPD1g+TRi/475c3tKnmD4KhpNQ/dvRv+zBmZ1jURpLoCcdDXE3ga6QFelKHyfNCmctOa01H+NN8BsyfZuwVLYGjGT/tOAumQ9p0bariTvTR0WaR+6CZjcK54CtEwq7Dh8vkLUgv90jHxLqlBAejtDcDVreBXz3j9+iprcU/Lne2htvGUN2YU8USKWdEyVyhr/oNtNtgM/t+kAk8/BdtVrwgHyE+Qv0e9f7iDIK5ncmXDbwe8rIVjLcn0aZ3YM6AjvzHcwv8LUslT5A2UfEKxHdMgCXr9muJpytBWYFhdDyphzJ1l68KsaP7B08v2Ww7d1LpLAsK6aC3ZsLFMDzhyPWxxHYFdQ/WjBOK37/zTPmnPDN8hXqGJDvKjBWhO9GTP+3EVMFZqPoesvReo34i+8/h4hiXRIUwJv7M744kLpWAezTip8dP6Go4L9/OgI5oX4c8R+uP6HvcorG+KKvNX1S7N8XrIeAl8eptf4BOJZ5x4RXE/HM0hI3DGjJ0OMi5nxc7xVIFeElYfwQWnJUlMF0WHnulZ0h649oJYVlJNN0/x11hc6/w7UUPhL5iDMTHXkvOH81kmptatnrQ8X6hv7W7vEI72YQLNhe72AswwHl+iP++49cfy9BrtfbcASdUoNbJLcwcJBiwcGPIWki1vgYCGtA0Gp0P3Nq7EANoFPc3usfI7KpiTAj4WqeLmqiSkGiywyMAzxj7bXEnjVtNEWVnl31rGM1n84XiTn3Vf0QkFar5mNRhp7B4r2Cjm0WUztWHIcFp2VEyXSMJJLWoq60qZs/W4TDnLIKL9LnVSuzRc/LhKqCXVyxDAlJKh7SBQjAmiPyxSjikRLhTfnT6mw7pcjm1Bzc6mOyFX2yufUs2xbV5f3qLarqQWAC++CZfJ+/xoWomsx+NtR28xGOxMuSSdu0Wiyt0hxYtiXqlGMUuXX8t2sRYHb+NRImYgrSXnstLZsrTt/wy5FeH7PNem+BvwfpAZZ9tkzZK+SJwbN0xeYCQ9m0KT5iBYLTUm1c2/M4urBBupzytEWjvCamo/logYAf7NX2ddxMQAucZfN/zwaOCh1YC8t4RO2PxagCNIgJfc3crB073AC0GvSGiCtQiqDEgHMeccqseQtQzDXheaUgz5wTM6jVBHgyIHbwNYpb21eyqbPsGe+mRRc9iYGOiLiJMCfQkx2NWlg36yBs7GUl8rdtc/aD57egyFEjbNStGyVenNFiNGRDSZvQVPBFZgvuFfrVriF1BHeIyPvYkolQ3roH5q0Vkq2zdn/Y2KfV9pwMjRrvtP4bRMQ/pxQAQ1PqZnsnZp3Fvsfrbl0UqyvxA66Q3lAuj6mCBa2xJy7iCnMit1HM5nlq/5ULrDWmw+aPBq51TdrzCgK0tlVVeMubWjZHcpvQWLAxtTrftgYsYRmiGiosWErES5mwakTRgHMdcSkDrmWgivicoCtLN9hSpge4npCl0isQFjvz/HttTsMKqNVdlSmgDBuBNdu4fu7RDipkFOgsDGgbzbyPZ0OpbJ0r3FegbfIz2wtdf1Cf62fvpk+uLiv0coXECB0HIMae6LNWWSjlJsDt61zaXLT+ymuFwPvk9kCRN412L5w/Bq59PKQhE9USAQx8XOfBPsaFpMZIuvjG3ofEtRIuFF7URFFNF6OjEKP1O5fOvHGl3naZPfb63Caa1uzy5qVWRxxy7eKa3v7QFFF1s9Ybe6cI1iXhHCumVDAM6+tddHsmoq+/LcrqeiOlCGqVVoM7xYwoFVUj5poaY2GuCY+XHZbzgHCKSCfuzfyutvO2Ic8b0+J7WhTtLOVNbX1R8+UmAEFQiiGZC5oGiCc0S0vkbz67+HfYOjaW2Xb9tK+1wG3ry7RzwBN7P8LG8f7Scl0hywq5m+gzxMBkUOgLoSZg+ZzKuuOjIHzXf95sVxRU0RtBSQDWNpBJr+H5dv67GJn5BCKIVw/ae0DlrC5fUyyBIshTo/29596QhcEU1zFFknSsQBbEU2waOKLs52uDAWcVlp0iHFdoHoGZky+mQLxNnDtjMV2V9cBwpp1u0F4yK+92M6oKnssdwoX9z+/vLribFvzu8ROuZcAvDp+jnEhhhrDu+v6vVogC7x9G6HEz9zlguXJ+aqazsB4isrMrlb7Lfbra0qTdDzOgOREtX+VmP4cVmD6tCEvCeiDa2ZKwAZARDWXlehUbZzUyUa9jBkBfY1cw7FcsAMp1aP4WUVpp41hGBUy4LiyOshrl/LFgfhNx/SJAA3tOb9vMNdEvZ7YGaxk2KPKJoIsLMrZ9ORDMWxUof8fo9TdvITQvhi4IaojsHzfGLjA00gOQISLsB1TrM0lnmoZAY4De7VHHaHQKNNQCAZzkXDE+ZiD0YLeMbOHBeqA+QQCaP6cxQA+h/RsAZD8CKbIBuwlN6BAaJa9RM4MAqqiQ7rT5Jq6GnBqimi7aMqY3lCL4QeHUB0VMbM7NXracvPNpwl/qZ0SaRKEloJ4Ta3tMFj9e+T3slYnWa00KefNl8jooIumXdMB8HPC8y9iNa6cUCTCljKKCTx+OCE/JlJSpfDZ9UKqfna32amMMnZ9fY2jPCQB16Q4cKVpoyQKXfQ8eMK0VZc/MHpUiN4mGVldIpyqdsjncNneVtXGcz40TUgGNETJoRy7toBEY6ruh61IQJbTvAwBcZ57f62rO0ebQ3pnEbVFgQDOstd0XmjhE63e7oZqypioggNKAnlSpo6G6zkAwBgHXjd6MqSsrusAWf+HrnuITrE0rbU867bOhzJYgCAsFLcrEPSTKbLVKd+JcsXvbI5J0pdp6i7rT0pI3wdaoZYLjVYAaUHcRkML62VCBZOqRJQAbhKsJorgzsmErAJaBVYouaCCqvlZBHgv+qr7D+/MRKRYMoaIqA4JSBY9PR5RzQniJmD5RuTGdO8qxFXC4SV7YfVBZ3Iy0U8780o1dKEYDMjvSasaDQgOb0ceZJ2nTCAisu9te6oj5JsiqXgduaESr+7bez1Jqr9He0H5vIq+6YRDEQHpyGAAv47I2Vq6A74GN0+mYdIs3SRpfn2GmLIS3VJFSN0wHOvZliq0lWtnfonr5boBMb9rrm5MaxFRoKTDE2t7Ckg0PXgGKznkQlS2g3aCuzTmzpEHeowXqvmdD7mjNNrnW5hm0uxoE1zeB9WTBgnEI8hxQFDjPA0QU87o5Yo2x4ImPrW5DuqqdJaHZy5oEwzOgPx9QpgHnnwjyPuCvn97h43xAqQFrDSg14LIMyDni+mGH+BIxLDxjnIUBS+A4Vdm1FrxvJVXr0Rk2wdoE+XyulkE35KduAkB3IF1QpxwYQTUKpq9D+yyAjmuoFSGHFpiU49AQT0+aBAvswnnhvltpNxhQRsi0idaC2XT/npwBR3nH4SbQ1cistGTa/7Lz/W6UxIHzExeylNwugkuHYzAGzJ+NiHPF8GkGZjSfJx8C8sAEwfJ26Kj59h5SMHErbevWg4EmwGkq1xoE6/2AfEwIq+LwzYyyY9cBF8EM+iqA3ASm1Zhg6eQHChpKkjcqyuz9y2df9wwey45BsW69Rd+3wuRlLgEvdURVQbxbUeaI8DyyVYgJE7k4WSjA+AToqVNRxyeB/PWEMo34eQnY7xd8vO5xN/S6uwoyGdYacDpP2NZYhxU4/DKYffW9i4Ymzjvaq+CIoHVmqAmWwAGmZ851GWPrUFEm7te4ACi2TyyJS2V9Oz8qEC8F6ZyhMZDFELvCNlF/OyOciWJ7D9Ymh7273Z/1Mzy0P1IqwrUizfRL6mEC7nfQITZGIxOqPcGU9xz/wVq2sC1lTzCuRwZF6SQYn2j/ktVt553guuPv2T9YMT67fdD2/mzr5OkPUkflPMGycq/O9wFlByxvTEl7oH0OF8H4XYS3VfMNpgLkg6IkRXqJuPtLJoyWt6zNHF5YC+xBUAvalckwKcAwC8KH2PwIR65JjxZAmNBZ3jLgE7U9J0BdA67riF8+7XqtahaUJeB0mbDYOswlNlGreA2oJv386c+o9F0j/XZPXEIBLQGSKg4P1ybA+e3TPWo1xo8C/6P+hDo9TyPC4Ik0hevjQNm+Z7V9m/c7rPfCmuCkGD+wBnm9U+T7gngO2H0fmg0IBXj5mWD5IhNom81/d1p0GbCcI9JLxPBoCY29toRuVdYAr59n1OcIfGOaLaP7TtpaHqYzA2NPEg8v4DoCrIWYsIbaFLyRKsoYsZgKdD5IqwcezJ6kC3rM95+5fvMWQteFjnwU1I3j7zQad9gBsIWCTbQHAVKpdlxcvbRly/xABBBNfOiy0IDcD8bPZhY4XjdOmGfC/P6sV2C/YQq+yJgoAuHqqRvky7P7XmfT6ktUG7Lb6mWM484g1zNBnpWHHSaWobHm1HEB6hWQUZCP7Amnp4TTHBHGgjRSRU3mgDBzYUqmg0/pf7WgChieC6XvHxKA0ILhvCedJi+C6zFi3SWiScWcANtc4dOA9MJC8+kTnf3xudrn1BaQrgc6X3mH5pRsUWONRkP2+c2AjrgRN1ILZENRrIkBc5P0976vqvBaVCmKmJnNzkab9Ky4Rg/OOg2MHH9mM9kaw/orWrZPgjRnCzGgtZnwRurrSvpmKdA13yC54gqe1nP2RrQJdE4gGxl/y45DrU+kKjPDkyl5XzPEDrU69pZaVLGkwdHXitJrRfT/tyDME0VgS41SETPFqTTGjiirJWXsecJChK1ar9BGrw80PIjSAsA2BpUK2KwbdYRT0LPYvI905XeVCQgzv7PmPlZDdFXcjOuaSFX27KDvmW2Qq31Dd9qlNEdBA6BjwGWJuA7mnTgybKJu8v2I6UUQL4LhxQ9gRVNqbIqX3k6A9ottTei8RugPGApMyG33pCW+pP++jq5QaXNfrF1UQUuyuEjXDSIcNywGgSUM0ddT0R7guh0uVtfeKHgKJFu7xkRoe1bYGulGjdkTi06x9wDXWquUKTYF+a0gTw9Oqq39amg3E0myFog5PDXG7uRpp+aRFpsoKve0kC0zsEaIqukmqFWUmgp5k4RyZHngM4TMGjAM0sbyRrgs0InT2JEkAN2GG5LC/+vNvo5XYwaFRGdY3LYrZGXSdF0SLrb2moq4KBC0s38skCUF3pNhdIDXPQ9LOVGMIx8Ez/cJa1B8yhFPcYeSI8rFTn8FUAXDx4jhuffFbVQ/9OdW9P2EXU+m+NnkNFNHS4I5K2UgeuV0V6euNSJG5RjVHYWS2NLKkj1bO1TBZIyy7ESsV3jeUxgsLLXb9VLJ0DEavi4LUf3Dnu3ehtQR/lq7fVeFGh1fxgGSRsiWuRNdvVat9u8WeW5MGmVSiiUdnjCyxPIhIO8E4zMwfZuBoogxIKwBZSJVuwxATR582bq0JD1FtrR/oY05ncSKsMZeAmEMCBVg/92K4dfPiG8O1lrPUNeizX612muzJZxHtCSOt8rKkyBPtAUxaVcMTwz8q6G+/JlPNHiWbBJ9zpIBgP1+wRwSZB0xnNCc+8YMq8D4wjcvR65t0uoZMJ12E16OEZfzhO9NKTzGiloFy5KgVVDXAKe3QujwHn5NvyVP0pOl4J5fHqQheBR4ow/HAMF8ug9K2vwd+/y2ekqR9tx1sEDXErJSyAiBAulSkB6vyG92yPuh2RoASM+1lWeodF+53yRaUCwZCIvR4PepBbhSFTKvCB+egSFh/Z23KLvUGQ+esN88ex2B5C1mrE0OW0Z5IAmUgxLgWBRpVoyfMjQKlrsBy31nEkphsO4lDkQEuLjWo2D+anM+euJrBROKR1JX1/sC3VW4yrycBuw+SEtqO53YGQelUrH3zX9aEVbFpz8eoG8E6USacqvxjX0cGTAL+79+r41SzTIqmOCrtGTf+sB2OOkiCAvnWlcm34dPLoTI55U5YL0MyEvEMif2vbVWNmGmv4MAvPyMa318FKQracNS+ZxaBJKAd0fS8n/+6Q0uzztoFrZSXAXDM4XU9Lihc/uwZ677+b5C9wV1ish3gvVtwe//2bcQUfzlX3yF9Ckh3xeEuxU1j4gXAlf79xVhUZx/khAfFpTTAHlJN2h3XARApL904topO86lt2sqB8X4dsaCCUC6QZcB899XCoxJBdYDgMT4ZPexIk+C+W1oyL6OlQyeSEQ3Gzi53nEtEOTjOKeLIswbA/S3XL85XdlUZ+tWMdmziUIHDxIM5q7NORYVRK+RdIcsW2YXaD9riEEEZDS01YyDI6qAGQjpjjRAR76LhfjPSbP198WVanbVDvRo9aIxSMtWOdVNKhChncq7oaT2zK+3R1BuDunfTTRObpx2HvjSMlAAiLgGoxOULipAuqVJMkcAAQAASURBVIdCsmC4dKPmohRxVWuSroiWyQcCShbUS4RkorUQoOxI7UkvfJ3X4LbaFXDuNEXkvYkAWDN4dxbFg/2CG9SnOqKiVuNQtamx1UGwhtQOYsAcikilWM4rnRt+jjnmtp7KFIBApkCZWKsYZzrhqSpbngi4rkplINASF/Z9MbCeC0BXmGUwICECWiE5I2gEPvmblOj/lNp9bgVI2voTmAMjULXsapKbrDPlRXsgHxan42/Xab8aVSwS4XaHgb+zvWFjJk5PBZr6Ln+OHpi4GojvCPf96FshrqAiqtc01Y4qu6Pljq02HvtmTVtwGorvUQBVoCVgXgc8z9UYBWQW8A0+kLf30tBs/7XdepyZfa6GMNVFrH/pLSLqKOv4GJqB5B5Hd8DFygkGP2Cl9+LLgqC6QcFwE5B2WlZfo16n7AkuF0eSTTkEhbgYNDXHH/05nXHggm1cq/pjxNr+elvrP6DZW215C3xfr7EtldNYDqwf9r1ptfGAodLd3jFJUEk9jaTHcti5Lqv7h1s7b/8PBtJ4skiUTr8KWo1kOweidLYDH+aG+QHwPp3J0h6n+h81p0wQEmPxpH19O0vBGTKtpUzoKqi+r+n4cp+kszu+II1d+R1eh+vsGd447cC2HMCRLUejWXZijvPGnmgAhseIvAaUpMiR50BYPBFhaNRH9ihk31kbBPv6MgJIuKlHbL1R7dwu1svzhtppiVsGRzwjWg3Xq6SMum0q2nQKOl2en0tqIbsvlF1syQ4GtuYMFt4rE5SGZAEQjI2a2S4PcLd/A5BhAPbKv3dTO1/bsk+h0ZLbOPtj2f4tNZBBgP67xi6p/jnCvtClkhFmDKYtndXZMF2cz4Rw7Jxs898cxG6vfW48AaNBUN8cUKZoQYcp2qeeWG+2XtEOWqfROsMEYqwE2yNu1515Fhd/RrFEu6mzDkAe+pp2wb8Q2C7rehlQ1oBB6BCHpbNlWlmIb9mF679aUKNREM8BRRLqGVbPqkCiHZWFAWi03tYMTCyY8jmy/ZL3pJeSLsvvjTPHu0ZpaG00JfUykR0kymCgNsaWIZa7Wwp3Q0Rt/deB3UHqyDW9MUNY3nANhcVakcX++xqFJSjoPpSXI4W1Ata6rLHQbO2HOfezUSxhZH+2l1oQ6PWxUjgOLajxs8zWRT5G1CRYHgTrvSWWr0xex5l+4+mrZL2y0c6seLH/91xIG2P/fzoFO6s5r9Hmjz707R7j2aPIdxUf/3RAKMD8BuzZa0wTT1aXSaCp2twre+NOfAYpHoCiJReZwDc/ZTZkPvVeub4ZyqiQBKKMSSG7grRbEaNiHNim8OUuIYeI8UPA7gPb9ly/tPr2Q/cl4kVQVyHRag34fjziaZxwvYzQJZCKMVWoBvrlxq7KanvD9ly01ksTAspJEBfSmWsM+O75yNZ1C9sRxlNAXUdq/0xAtvPZdYVSKigYrCUTA9qQGViWHefS62W5mMCxtVpefhj3x/Z5lztBWBMTpQaiMNYB6gRc34YGrhAAUCBVtiQ681xz9DusAFYiwMkUwMsOyJtY72+7fnMkd12NSiftUG5ZR8uWywTEuSKZumaZLCi7mFiVoRKx+IFony1imUUGO6TjwqhwYBADgHQjBsBlkrbp+TtsKGmgoTB0OV4K4jlDrDYGYGAcr5miFznScHkA7FksN05DQMh89vmeqmbjk22ewoy0fz83VkfNnIoXsrBsLhEJUBXzCdhvrqK21i/F2koky8iE0o0rhULMKRtITZk+MoD1uWhy7wmY3xIhYUNpHkBpdhSDBpxiJEaF3lmT6DswM7fSGUkXZlV0NmTM3zewRsOl8eM1Q4eA89cT8uRKyDYWFvDlXQQEGJ4zQq4UG7sfWsZdheh0GZh99Z5bw0kRV85furC2K6yFSEJhaymusWr0TDMoAJ2uUhnY7vfQaWhZUalzC3J1yai7hPXB6HFez+UJnSYmtAlulMINjd7qDmAAqqVbw1qAmbRlaLQ65755nVq5VdEMWRGuFpxbK6Com59Fnjx1JOqGLIAJv9Qxbg4ic6xsTav9SqyXXZlsLa2GqqgbOwEM3emo39YooDEywmoBzCJQBFxOI5YlYr9b8WZ/5dsC2p7fOg0hdwdk64ASOeOhW9PGIG4CZR9vd6x8jYvPgaLVGa+HnsDJ+/5dzQkwKmu1AKXsQkP7mgidBb/uwPLAFmqPlc2DidHc3CmxX4ViWWmrnW51ZcnUEjODyaZCr5sx2w6918U6dVO193v2YDfGRuv8sdpzZ7943V+NQD3c1g6WyZgYKzA92/6Mgrq5Kdp6o8KfMrb9m1kLTdu23BOxGk4F8Wr7/m0i5ewlQzKp/kgB3qoLamyEjZPXEltBu7NUFNHYDqEowug9rruD53uY660ymJuZMFqPiVRWhTEzAK83JauBbeHUkCIv3K45YEVCTAXDULg0i6DXlcLoXNx/Ya3NufXEUC8VERMxDJ254Hk25ec5RXP3oWJ86YIczijSKJgjKbR1oJNAZ9fsyo5OnqtwOm2xKb8aiyPO/fM0GGrmiYBpE+DminhagFpRj5PZN57ZdYxY7ykg6MEZGQ7OXDDWjQdkQwBiJHLb1m1tCaK2rq3fudtYTCNFqIYEHQfUcpsAq1NENhEyZ6Uw0difj/RLMjC8rjlcC+dvJ1AhEnH+yYhQzEcoagqx/bu41qzEx89+DzSzf7YC0m0L7Nz2HrfDC4Wu8i7i/NM9wqrYfb9Ag+DlZxMpxdJtjCeaW6LSkjeNrq6dzeJ2K9hzOhNPgyCZOFqZ0M7dfOTiqzUg54iUCoZYkHNEfhpZ42frKs7AcEJjcdHG8NnGU0W8VJRdwHIfgAqMnwTlGpBO0qiedeSzpIsnDNDO0+3/+eyct/kdcP2dDKmCcGXdYVgFwQL1ZRCkq2L6xHXmbLXhrNh9pJCP06kvX3A8dt8rdp82AoQBWO5iS9hIGZEPsZV1OSV8fkufZXxS7D6578A1TkZi7PXbVenT5YpwXiFrRj1MqLvEhM9gonFPFwQR6H6EjolsmcsC2ZZZAVajaYHBQSni+Cim+t1Vh5nsBdZ9RB1NyOlNweHnCftHxWBtG9djwtMfA8uXGeP7iPGj+ZuPaAEzwDWSjxt7p2y3A2N5aeS6SBcmFPKBZ03T3QiATBV6yLj8Lvf4eh6BJWCx9oFyiZjeRwa2Q2UnkUFJgx0U65E+4cOfK8ZTxXNkAsKZLtUp5YkIbzkwiG5r6ViAqHj44oTPjmesJWIpEWMseLu7INeAXwC4XEakXx7w2f844+VnI84/IzJZJwOlngTTRztLp4iaFOv1iMWTNyrQQ8Hu/opr2eHwK8XuseKpksq9HhV1XyBLtDY7ivCdBYiBydq4CF7u76BRKR4783vjwv2wHtH69cZrAcKAw27B/DwhnVga8+YvVgznjMc/2uH8NW1IPqIBfi4spQOfTxVAqpjfWaA7ADUqbfsx3qyHYJIx6xFY3jAwnz4aK29QpKmgPg6Yvg/Ndkgx4cSFCPT4KePy1YDn3w/It8v8b7x+85pcr3NVoHo21xlU7qCDh2fr8xaYJWl0zwrWsUVuehgaKVAEYUBS3ZnWbhz8MGh1LBsnt6NWPQABbuKH1ufO0bH2c6+lLdxIWvrvt8w+3gOFoxxFdUfI0cMtzfmWtuP1fd0393uvVZpUuLSBvH3Na+U9UTT6oxgFL16YGfcDO879PtOFC96d/7hqU9CFADWQylQmIrqlSXfzywSyyVCjI1Gv14ePmznNTi0JGzGjbVaTA/9q/szR3h5gbH7N96WrIdiOMtrcAOjZ+60j7+i3/fv2hs1Z5er70efZiqC1JIY5yoA5MDBksVoi61Udp69h1gbf3sfNWMqrf7vTGlx8wJ/bWQzSghy1e4MoncZNsqfdy4140O3fHQVDX2sm8S4WJKutg/ZxG0TS0Vw1FAAR0BKgpvy9mvLsdmy3mWUPVpsYk9+eEF0VtbrtC1Bz3/v9+xlMsQk9Wg25bJ6ziee43dogIfBgwgMm7ffY21WZffG1YI7pTXsZxY/vDw9mI5kwXufHekP0QDd4Yl+IVnqCqA2cNOdfSoCCFNCmquyBL3C7D4Afor6thrKPQxPi8zULNGQb7feAJMrG+dhosxHa7ZUnIGp39huNdrM+ua5Z9iHBI1n080NpU7xUxtX0ae9DRz18Ldt3ck3YvvN6W3sGZ+vcrCNs3o8f/mzLWqiOiDlzAYAqxXS0buw50NaL/9uV6v1PWBVY8f/l7V+WZUmW7EBsqZm5e0Tsvc85eTLzvqouUFVAAS0gQQiFAg444JBfwC/BDEOMMOFHkEP+BSgtLRw02EIRNgVoouuBqrqPfJ5z9iMi3N3MlIOlamaxM+9lUS4ELpKPvSN2hLs91FSXLl3aMgyiQmfwFTuorfON9xB3vclYirMkhgfwrI4MWex2rtl+azT1RnU2p93O53bGR3NMC7q4WuTzuhiaeuZVGcSpiRs1+vNEsBdi870wGJTMOdMYKBaI/tw3Vtt/56Jjr69aCXaOdGXXOCh9j+uwHptIpPo68XOBdbJsG9RFKcnkYTa/mcDSP3e0SzXZebb3Uoh+bg3vc5G2gZ3jreCaDxWcQQGOlwGGAYoqt2uqZVNg/of2ZdFs2vA+1jt2BX3SaIGQYDV2lrm3D/G1zppIuRlTH8tRu6FtBeVYhcxMNrOtDHAJcko7T1yTxNdqWwJ1WOKh2+TGLImcc7fPIzWT4/rqM+1ntxX+ngYw2b5r55+/ltye25o0G1Zmq201cLCdbbaXAKVpdRq4neud/fJDA+RJnt76StHYDD4Ulux1IUU+9+AHVEu+CHrnhPYF6OsXMNAykv0wAZgqgNhp8JvvBTQf2jdDE06V4ecGIqFpt2gAMLSjUUteYCr98xQEDK3Mqe3bIq2dFO9XySbKfT7H7HVj3dmwtT1S7PN93wqQYsHdtOFZF6w5Yc0JX7/co1TB5bygXDnA+RRRJq5/b2ukkR8iBQjuTyVhjasBi1KAeg24floQXuINuNWzoNKoyr4ePTlRrCxHVmFUFxi0B9PZ8cvFnkJO0KC4bhNQpQGf+S4AkhjI2vzUqYPG7bL7yVsC9sAaawi8966fW+PVzozAuRFltroWRbgE5CUh7tLGvC1DmxeWUDDJ9WNh0e+6/vAg9+6u1czC6jhaZkcox14nogz52FXOpPKGxyCB1INqh7Z5DVc+Sb6fkQ90BMvCJ0xnyt6Xg2B9YB3Q8qk2Z7ZaM3mn1bVslA3OfpegbxMkW8siVdQlohwiohf/7xWSmRHLp9DVfq0OL24VuLLNkYsLqY2HU5Ck8NBxalrcSAsoMyzQVrbxDYCW0NUxr6EpqQFEuMJGQ09j35H2YG1HdArIGhE2xcMz/9DrfLxFhFQ2W+5BBQWs0rmgzAHrZxF5EVx+ysL1146xVMF0Zo3w9AJM59oEw7QJf3B8UBXlGHD5ycS5s8A0bop0Jm1ne5sgRTE9l0bvrHNsMvcaBPXQWQAuP57vbDyutASdigu4Cqfo7f2PDlNTWR6oy7JnwNDSm+IWALKyzcV+n7DfWybWMnn5SIfNqYdVgTJxTXJ80AINpxgDRL4AtIBGlOuUHz44s6/eo+Knlm34JUDD1Jworhev56ST2ahvdkB7kFesZtRrbVpvu8z1zYys3tCz/ApFoUpqTkVozkWNzAjNn7SJotUsyFNATRXbmvCxnJD32AMRl/rfboNSZu06qOO0Kl8b04Xj1Np9OTrrvr1qE4QbM1ueRSJTAe2Q1aQtcxBXge5cT8GAoLjWVgcuqsASUY11kg/dkQPQKYQKJGuP1alcETiw3U05MIvg7cbyQXoG15zhkMnYWD4J4rUgrObUxwBNbIUmIdCZd4rnnoGXM24C3VI45LVn/Noau24NPPFAv06C/cj7akqtQVpwlA/SnNqaWZsWtoqYC0W2VBHW3Oi/PndlDm2uajQwTbtQmgcgFUZtcvaE+PilfhgOB15TffZAzahvOhFxnZ/MOXQAwx2c4I6eOajV6IImxerrqwkL3uw1d9B5itdJobEi14iSI0EYC3R1Mn2wieKDgACn2J5ZVDE9Z8TnDXVJ2B9Yd5kuHawMW22tavz5fW2XQ2htaHQYEwcsykIBGKlOW7SAYuNnp4uafWamvBzCDWXbqbh1Yq1jnQB9AqYznyvvEcFLT6qiHNONNkedA9YHts5z4Zuw2b0osN/T6Tt8ZJZP54B6tE4Iu50RLrAmAiwzbVzymu2BuVOtz2guQO0iRnJdkT6ukKy05w/mi/jaNHA3XYwxJb7mjeZqdO7pXJsN8UURiiDuisPHDsaOTIB85HNPLxxzDWpgu2mKKExUk8DL9FLp5E2keUuxEgERXL8gsyhdK8d/kXbGdm+Y/4m2JjzQbQJiQlZCWKupOXP/TS98j2c44w6ktSLugnwfkHdBucsIVnu+5UiKvgv0gXuqHIC90CdqYI5dZRLI3JkRcTVRweF9ZeEZFnarJ9zVFL/RQJZRu6EsrP+UDMzfRtRFsb8pwAzkK/d3OtOP4nzwu9KqSNWywM2fpAKvB6l1Emz3loE8m52wea2TIIP6JflkZ4kEjsHR/L23wH4fGgNNCvdN2O0cVq/drgAo0ipAB1LhflXl+jabWFNggGDr3a/DdxWXN6yfDKtg+c4o5wlAYgAUNt7r5SfMrh2/q8x+r2y1xzmwc+BuaorK2EmrPXzn6tzMBF9+QnZDMIppOQLbG2Zry5sMRIWsEbIL9l2wfgYmshKd8+V7UpjTswBIBsrRUUrmD8+PgumRYN1+z/GZP0RosH0Ms7NHjuN+kg6WmFhVvutsDQ1AvDpTy84z5XlXI7B9ya4k15zw6emI/WXC8qsZYQOORnvOR+A3/ztSqOeP9Lf2N1QL9o4O00WxPCq2O8H6JaB3GeHbmc/zBBy/pU2/fi64/MTWXGIiavoYEbcOSOS3FoQuzD5Lse+NwPrTDDllSF5w/Nrs0om+3cd/TCSszIrtV/eQqLj8MdGQy88igXLhnJD6beuuADC1/nAR6EuEfoi2vpVr7CrNXkK4HvKDGmsVlpgk+256BN7+1dXOpAPWdzPnerHkoek9VAP8X+6sLDagxy5/j+sPr8lNEU7nA7oj3v6JFsipoRkVvbYkOq1GGlUGlt3sNVc8sMKeWsaooUTmoDgyHTLvw5Xq2qEV6e02lN3PowTkJSBKDxarS/pnRTCnMJSKCh70XmcTDO2GZQbieefhepzY93VE4AzCagG+BQ0qXPhNYh72PKY2K6U7RgC6o20BdrDWTR4YuWKvo8vxYg7mTtp1PgYzpGrUZG1jEfZeG+p1C6RwGpJaO7rWkFej2kWjtbVMakU/YIHmBNxkCyp6zduYAcrVMjM9YGo1gFa36sIn3jzckUN3yn9wOa3N16gMWVxDTLnu7OD4sWyAz6UFjV58P9Zl9YblhnAHjh3vTW8/1tfgQAFtL3lgOrxv/LvWT29AvBTS6oCcucDsBcdELfjrYhfaP8+Nho/P4OT7umoBnSvZWlmBomcaPKDsz8E1Ek0+XqMyC1QEBYHIv7MkfE28ypL23+ut2rQzQUQBo624AnSdQm8xYDai1UKlQG0ke7HZKM/cuN0K/LsR7W33l7u94OQrWpY89PHk/N7O00023wWcXNV06qi21wbFjWNN5Ux0lcIovS5RBBoowua1ixo9/fvja/kHLVX8KqVnDQY7W018BFZOccOIsaxMzYIAQ309+257Rlwky36nsPUT+xg7aHHDlvHscRjXrr03vnqv7w30gLQ5v/a6VLCMBGglNs32TwEmfm5j5LauBwtNYKvHNO29rQbdaMna6pPNplf0LKt0kUR/9jG7LFs1RWEgWgsZtXWezhlhzUZf5vnLdkoUbxoFb24us4/e2otjYxTVq4sXwVql0NEe7/F27NFFiqb+czAAqQIIkarinpF04NspoGUWOmg25qFY9ls4jjVSjoHMhmDz4PSfgclkIB5S5Loe7X2t0H0Hth1ax5QGA+awZoRj7Hve1+LQFcDXHfd1HzenLyOisxAi2MqvWnmBDjXdbi583GI/FzSBpUqe+Qp8/jDYv7zQ/4jQRuf07Fs6m30z0cbX2ce2fsvt3mgq8oX6JAUAltjtHAA52jBXo9cnsP3a1Gv82CarMxYa883Gk90VBDXqLWPHWQZqICs5+3SuB5Bbsp0lV39OMgUq9ActBWtEC3zj+mpena1jz9zm1Wy7C4N5UO8gtte8j7ZwzEQ3RogxglrpSuxzqRHUujSfNewM3GvsoIACbBcmAoH5Ae6ntP0nGHUaxqsJUNmVrrWVGbnugAN6HniESkHRMvcxabazPfNwFsy2D3ZSYV3HRioophn6mIYdrYNInRXhlBFTxQ5AJZgYqJ2Dk9JuNiYlA08NaOJPwQCU6Zkg2H6SLhJ59fOUqtnqGWvLsBer+fUg7HUNcGOeZR5VqKAQVWKteYVgLwF5j5BrxPLR1qPVaO/3gv3zjHCJOHxt81apmu/fwcC/0r8VQKIB2BtLCU+/3ZHvI15+npDv+jlDNpq0cdBoIloHtX61FWENSC9gjBMV05KBsBjLiL4XIinrmvhztLZI8sAPzmPt++5ntPldlboiHqS2/TYr8h2VkcMWgTzs/QACvsbkCPAzkusmPm9ACJieF4Io5vd08eG+f/OBAb1YPbUzQf9/XX94kLvuULG6lUq137oIru9ipx8oOkXHDLBkRdwCJsuuihXj73cJUEpFtzZCQFMWbUGNmAiRGZZ09doSO0CX0CgaAIAoyF4fdq4tq+ONk51W7HW0rXhfwdrOoJ2e5pktd3o94AWaw6RBUEwdLGS16nHea9wEeROjBNhBv7D1RKOx1b4Y3IimK1Eg762oAZie9yawpTEg2MHdWsqY4xT2igS712KZ69pVgkV9zKyvoniD52Cb6NZpbMBCAdKLrTYPCAzEgAUcr+niAg8KPTvUnUwJ3tZGWpanzMD6NjTUrizW6mNDQ+VqIkKqacL0LEhFgV2pPLtn6PkK7FsT3ZFcgN2smSvSZnPwc4bkArlximqn1wOtBnE/OrsAds/WDqISdAlwNVXph2tl1h0iqAsduFZ/5k6+HywWpPn4dke/OzHDj/BMExHJyPa7lun3em1ewdrPGKLta12JqMMPLQ9u3Tl3amiukF17u5wogCHCKRGgKbPVyPvhCoE+RpQ1oE6VyG1lvW7Yia5Pz6QfRwNQ0rmwVilX7sORYuqlEq8O+rBVhM1ec7DJAtM6q9XYjY4NXD8PKHTG2mtWHxRyz4SM88C2OqGNa7Sat+KAhzlKY4Dujl9bWuYEsY7FMmQPPLyY2bbxufDnfKEtjGtEXSZmt64rQTZTB5eUjKlQ+f9Ap7WVwgeunD8Zb6ZWyLojniNEE6r/bezBTBt/cxg8u9sEm5rzCgtmFcXmivX3YsGrj62pEFsANFJgYeu3BZVDqYA773F1+8FDeQRNbmidYWAkABDt2c1GYyzmzBequIedJ7UHfQQaeWPTTEFFZ0Jk+OGv0HOE5kAHR+g08EzjOqeKPRk0Pm5jhkujoB5mIADxZac9X2LLcjtTJRooF3aCsw2oNC0LD4RqEmwPgv0eyEftY2JECqe7upIy1JgG1cRmYOeDt5c52XgONjgfeVZNdsb7udKyTdaeJh8CtrdWB3/kOtcrA4tQ3FagPYcHNBAyFbRWhFw6AwccC1h7oRtqvlGkESNEOiKib+5RHhbUA+mX3kKpzDAmhQGpk2UF2/gAy0fOW5nZy5Et87QHdwb6SwFgIAB8jBUtO+yt/5zdNWbyvSYbAGtVrWTHAV/YWDsTi2dPQNjIiKpTaKw6D7i8FMl74bYslmVJwx5ayy8AHSzfOl1xBPGkAOHThJc1AqlCkpV2JSqbT8+BDIFrL4uazgObToDppWB6zqiRImBQ/u623VPP7Dqwny4V8QqUY8AufAZnzYyBrAOU8cznildpwfL0wnmLq/k2xQNwYTZryGK7XXEQuczA/mBq+VZb32/YguXJyrwiM6nuvIeNaz3fMdClvoo23yqsZDKGfWAiwHzFQwJwQmsRCCCcN0y//Ui21pSgYbq5l3hlVlQDsL2D2TDbaxcrddgANSXsfHDwir7L/kZRjhw7+oTA3d8KgNiEgNa3AdfPeT/zJ2B+7PZshzCjGgD9fnFZCQDA8m3A6TeK/V7w9OcFeizY39InDruBG9qzrNOTNtEsT2QF61TALivd1yoLsF+tpvXe9lqmWGA+oDEB7/+WzJWXnwdsb2mT8kNhiVXgmrx8e8L/+PIL6JUBLkTx+Odsv3P4KiJd2FIn3GUD7sMAjI8gGcGvaGd62QOmF2bDRYHnP5oH5XrB/rainCrSY0T6aEG4gTjr5xX1bQa2gHAhE+T6hZ03l4D9esThIigzY524AVpAoDwKts8qyhc7sEbEb2eeTZcOKIWhXGa8vB1YOfCZ66zQI21x2COmZ2Nbmt30Glv3a6cnYPmkmM6K/LC08yQfwKyxcF4O3/JZ9gdpdlkFSFfg+I2iXm/9vt91/eHCU7mwj2GkI5muFRmx03SAFhR5n6RqIkz1I42wO+Elsg8gEaeAGPq5X2PPGNUBHXQRkbhp/55oDvYkrYF3o2Wq0aI2DmCNwnI2R3SsVYYjwmIIxE1Jp4txlFcBgL+WK3SJTaAmbrllp1QENZPSE6xPaamCdDU0eiDcS7XbUl/0RIEAe84KItHnDfUwM4uTK8Jl58Fwv7DfphnwWIvRnxXxkpmFnqKh1qHRB52ONz3T0OwPNBjtAKg+j0JH68KguiyRyYK90ilrTsqwYBzotYwCgOZU1SgEI0y4ylHoMtNI1RlY31fUY0X6GHG49HuhY8J6z7BH3lMWSCmkZ16v0OuKkBLEnH/NuaP+VQEUqNpk5gId6G1Nydr7fhagBKecm3OewL0gHhyCznugo99aiSjIEhCg1xELFF1oBsN/G7XYa5MB3CivOlppbAgGtGhjL0WgJi7V+78qgNAAJv88rrPa94E/tzuu5nAyw2BenQUswdqfdLEoaevGRZ9gvTvrFFEW7c7SLk0i3qnFcatI19KEbLymsquKWz62WGrWsmEE0UJ/DWjPopKAeTyALNAufIwq5jja/ZJiY5ktV9w17GGkiFajgZPepIAJBHkQfZNRDHKLwEsPdMvCNZXvFPVQIXto6qGi0vZDyMJyjCkwY7/uQM7MWplz3zKypjjdcJCqQMn9Xm7Ssgxyw5wMfEG3N8akuL08YEQD5VoG3NYp0MGhG5EydYfekBzp2TM+o2U7hm8j6CVt3Tu9TwozOtUYzGNt+JhJ1DLMg9+Ggw4OKHkWK1e2WBIGvWElVVYsyE0XV4AOLWMTdq6/sNp32d4Jm7SeoelMMCRdOgtm7K2uAoJJk/fG3NveG9eOWE9siECn2LOuAMrdRHtuNqMm0gbzvfWoDGCWIaLXC5dhDuH2XSi0lCtBSZsjF3hstjvRMWVrEpsYBzl8nIMDXwyIy0EpQDORVh1FoJYVCYNdH6mafSFU9sF1ISoXF/Q15/XoAMcs0Clv43M/A8eEOgcr56Edr0OLJBfsQcteMBg9fKBtyseIfLJA5cXOd5+/IeBtLX3M12EHBgd67fnUhLegZHEpgw8vFajxxjXgWjP6I+eKiz1dKtLTZv3XJ/4++iK3v48sI2v1pTbXY2cMAI2GGzZlRj32bBjXnyCegXCNqIeAerDxjqa5b+0M3X7FzXqwup8mQLxWxOcNsiTUabKANKN1C1DONUXqAvLDQh/larR1SchLBCJbXP1AV0H47GGzdeX3spJ6HVaWBngXBO4hotT5YO1NTIysMXKE62M/CuLu9GJtQfaYqWYZBm16XSrilT6eB8rOeGzgWnaxzgq4UrKddw4w19OEVn4BYH68QL/7AHm4h757gIZupFvGbBWjyRtF+oVsCyl9TkRJH9/vxfoiKxCobowAxCe2Jwub4vQ9wa98COafCc6/zAhrwPEbwfKptn7LAKAz/eT5A0vwypHZ1vkT8O4vVlx+MuPpzwFZCvI9z7b0BMxXaSCzZOD4vWJ6KdjvIoE28XOcADkBGTsnD+b7WPsbDYr5I/0T0s8VYRPcfZWRnndcvjjRJp0q5C5D94Cy86xNnyLwsffc3R8UD794AgCct7cAuP6XJeOa0sBCG8562zdhZxcZyQHIgngh4LmfBOv77i+HDNRFER521EtgWx/tMVR9m/Hu82d8+niCvMwEJe5YYpK+n1oJSk0CBAMPLTmkAVh/onj47Iyn7+8w/Tohbu7zG/CRhyDX4y1j8AFGwT9V6KwIhwKtPVnhyah0FcyPtCX5jrZwflIcv2OSLR8ZJ7Ve3FFtjIDDp4oaBfuDDEw7do45fl9Qrhl/n+sPz+RaUOAP7/1rncbk6CWdaU58RDegdRY2wy7mHDT1vYDSxEB6tmTMdAEDQqk8VLMFIcwyuOMw/AOYarCYCvFAPSz2PQMtzunPLgDhfeaC1ZeUFCAm7e39WxFosCZTuWztXgZUtSGMG7+jPrEGgo4MOvW2mlO0olGMRQF4fY1T6Xw6HO1zxH+vLdsGuANojloF77f2F4lmSwclBiqnFM6ho+0t+2CZEKchhmpjGSLR5yEQcydZhUaLSLnVAJ0VTYmvqDWJNiW+gfrjvSb9ANdAh3h6qUjW2xcA09HLDI0R4e4EnSe2k/C5FQaW7apKz3Sa2VtxRDas16jf++gg+AGhZoB0JoijpghdE/8geG0lQJqhfefoxI8GUSxwHQWIeguu8T5kWOMUbiG9tWenHNnudap9XcKC1TAupShAdmDGH12bA+z11h7gkhbPF51KG7KyR1wVJKc1Cm5qb4l6m/N/NQdwZysZBhr8HrVDXkrmwW8/A+iOgPZaktbLb9gXMGGakBXFnVHpgVabbu1oJTMcPWgiBY4/1DlY7a+Lj8iNozWuEQ20dS2QMNAAgNEXzeFtjj2AqGj0DjtkbgJIwBz4AEzJAiBjJlQliPNjVxCuZ61kf45DlWboYWarrDm29cZMhXYaXgDtlBrwYtkkzkdfQ415YAGtgzXMImOgw8rNczk1kI4S+lp2ChO6o5yPATJ3ITygr/ceuLmN1nZPY6mAZ8SCl8l4IJkrYjWHe+fE1TkCdjalq615q9tNZ0G17HunLpKu7wIt01nbWm/MBABe+gKA825lFA6skKHD4K2XwbyK2IM/D53QciB42ToaXJ2lIMY2MYBpaK3lIF0DeAaxMbffcbut6Rzbfbmj76r/bnOaUv8iHfA+VPZHRLS5M9B5sGdt/VSl418KQUofB2GQqKq37bHiUEqVUl+XdpUldJ2NYlj14LM4A0WKNKAuWN1yvFRMiYf0mHWtybUh7EtU0USYIujTGPvL6xj9qpFZ1hEUdntgQ9DWtPdmLRMgKm2uahKU09SF4tze1z6HISuWRyLozaEuijLz3IjX23XlazIfYewwgpHVxsaDeCmh3ahkae2mPNMZN22sr/3e9pD5Ii5geruWhYKNIZgvYvY2BYTWb9HHiZovngmSjF5WMXi5cSO126nmDfwMgnww7RUL3PLBPnOw59W/U4W1yAbWV5EW1FGl3ObU+rLWmbWZJVSUhWdQvPAAqjP3RVrBM9cDe1XWotuaDpe+WCQIhcUCgHmCvHmAHhfUOUG1MxzykQHo/sCDY3oydoUNXzlIm894qb1UJgHxLIjXiDIzCx2vth4Ts4NAIFh3ragpYv86tWC9sUlsLOKz+eUJqMGYCkYlv34+YX0r0LmwV3OhL0wbAmBigwgAyPcBUgKWD+yTWyMwWQeRMrPWfb+TxirxTSM7IGCNfTozyEXl/bz8LCHsEevnQH7DDG74Zgaq1ZcCyG8LsFTIc8T0FBAvAU+/foCoYLr6/mY/ZxhdutFyr4EtjCzbv98llNnmoiYcv1Wcvt6wfjaZvRbUI1hSkgX1eUIsfD6ni5dZEeaCYEA/rOZX14CmsXDhM3ocFldLsi3cF+lTwLO+wfQcGIhWC54nQX2LpnSdrqPxQaPrxxU4/iaiHBUrAESlCvTApKhJ2cbJAHoVztGlRPMPabOcsj2e87npB/Ezr19Ywu0AnL+MqNe/X/j6hwe5tRsbTYISI42EUR7EqWzeKy2jUYsBoxyjtpR+sAwra+qIGsXNNt8yHB7oBppBEQcn26alkjBahqShlAFY3/CzXWjD21lI1Sb44DWgIZth9roQVauLrXzWE50bzzR7EBq2inRe6RQtqQW4TtF1gYl0VaiJSTlKrp7NMDGL+SNraKcXCm053VUKD/12CaBTRD0moLBtjxRtzqa3dxCrR3JlUiZSApz67aI3bCFjwUlSoJhQQauNMYcz9UlpYi3KsWSPQ2mHde8fR4euLMKeWkWsl55nNqQZaEfVa1I6/tEOjANaoBI2wd1vQAEwC3I1CMrdzM8D6Py7KIlfQXomvhRoKZBphh6XVlMHADJPnXZtzt1NhtoMqtcyx42HAh11vj8GGgYqhUcLDC3z73RJmEM+1JKXKTQ0udXbmnPMdYrmFHr2ADqAKe7UmqN4QwNVD/IYUDpCXENAzJa5QndUZcsEMJZoAAnZDmx3sDHYmVkDHq9ssUKxBDoqYR+zgV3wKmQifESdKYIS92ptYviZanMlm3kwTVHY6G2mD+BzxP9ab+0ptt6vDpy1bLmaU+ICC4qGZMbrQFO2cY/nDRBBPh1QDjZpBnCUg9mbVsPE7xmVUn1d+EVBOBgV1PZaUmBSqNXZa5DWH7DNsy+9FKDHhdT8XJip1QpsHvGNNiJAlhlYJmZ+ywYMNE45LainGeVuQrYephosACoCPXaaq4MW0do3FWPMSA6IK+s5y8J1Htch2+7f5c7W4Gy3IbPnoz0Xo48yY7Y8GlPE9mBe+P3T2UR6bLwBII7ifLa+W7s7s8OePaHgIe2Dt7aTPZMKa8GvThH53YGMhUtGvFaKbG0R6eDgKdreYz/vvsZCBpbHiukxN3DQmSRSYe3rKlwxXSyAk1ohz3RydUqA16jmwn3gwZ4zGYyto2lCPvW2fekM9qmM/VwO2bIga6fji3ZNB06KO602rlcLWs0hTmf7rKazYGvUKctKZ2a/p5NVEwVN9K5gOm3YwwLJkWth9ewzazi5x41dsm4sNcmZ9loCWu04wEAXoF9i7YOaFkMZNh2AfAq4vgvc5xbg15kBi2tnuB13hzluzCRNjyvClpAuaWC5AM4s402jsUEaQGABmJ9300uFRmC7D218vL2KU/bTmfvEwYZo2bkaTfRNKWIUKm3INqVm2zwD2TUCmO2dPq0EpQPXy/Z2wn4XCMA80xv3dnNhq4iros5T63s6f+Q62d7Y/V4d6EYbO9LytQH000vF/GGFxoByDMiTCXReNoTgNde+/w3YdAVnJXBazT+Dkk3kIFlNwP6GYxZ3ZxTYHtROpU8vFJNq7bEc6A0MvPPhVgl5e0A7Qzl+tHsJgK5gP2wDB9hyqD8/lKUB5VihC4MfmQviVJCvE/AN1Q33k5/NaH18vVyunBbUOWB63BCfV64vEzcNNp/1kCDpDXSKKIeEMtD497uA9TPF+mXB/F3E8Svu/XznAQdb90hRHD4o8oEiURqB028F6UWRTwx8ATRK/37iHj99XXD45op0WSCV4qKhEJyk32M27zuWve0PFRrAQPFqQebPI7Y3QDhlpClj3xdrfen1o2R9aFLIuw3TnKH//QM++w9X2oWqKMcJ3/+zA9Z3gsvPKuQnK8rThPmb2Et9MmnUhw/FSkwYrD/+Gcdx+9mGw9sV66/vcPc39NPZL1axfH7BLz//iL/89RfA0wHTs+Du75ix3e9oNxCAZdpxmWeW1O3SWrSlK31mFWB9x9KS47cKfEvxpfkvvkb45RfY7k8s2zlqV0e+sqYk33PPl7sKnRTHw44pOpuNMVDYWYo1PVoHlRlGNQfSIzfXamf68StB/FsyxaZLRZkoNpuPwPplgbzdoB9mnH4dG4WZZY383OV74P43BetDwMcpIt9VlM921LlCnxPSY0Sd2DMYAOLKGGoLtHPpKlg+cP+FwjHyQFgK12W8Am/+8xXhkvHdv7jH9sbW7EFQ1lt7/ruuPzzIDaE5PdwF6IM+IO+OZKrT9vxQhr82/H8TcRFQdU26oXn9XM14d8ei11kRUXEpbqexOJdfipLJE+jYq3ZntCnRKoaaSQZ6khlkhsBaKK8VaQI9hvz7RbVHgdggNWGm6plqc3QsU1InMdTZDrWtq8P2ejO7n2TIr6sRtgPWHB5oc9D6mP0wA9DqvIo2Ku5Ylxg21ps1ufjMhdkOo2He6hQawi4uuvXqK0dxhrZG2njx2XkA2QGQgSCsadNsgal2wQlHxDVICxSZ1ZNhTQ4BbhBgmiC1MihAgWZt9YqSC2RARPk3PXPnjkNDC+2QgmW5X2cNeAP+OFzXUMtoVMBpy/290j7XegrcBAPtcL/JGnK8yzzcF+zehnto2V/HjNxZaAIJDGxJ2a/DWkLbBxQ3sM/8EfELyRVIvS9k3KzNE/RmbNr6Kp41NYS9ooMPzkrQ7ugBw/83yrn1nRWBso+GzZuPw7hBcJPFa6IThr56LW20TC6BMAt0xhY1NhdunFtW/8ds1Y9d/p5xvmDPXkwRUj2TJH2shmzj7edJywD23/miMfDHA4Efuzzj43vZmBJAX+9di8CWzBik+s+eSfJ78uUjgyIwBls93NANS2J8jwUKDnb2NjZodn2s/x8de9qX7kSrpcQFPQj2DG6rdzN7iLEkRW1t26IaQSevL24PK25XXRARLdNxM2VtXI0iXZhhFxGCkaPdEpaIkNar7Z76YHlQyDmA13kWyyjaneto213UZzhn/LmdZntDN/GxN6aRP9NIEW//AHDhMa/fbnXdvse12+gRDAg795/X0/vzawyQSPBEXtkmMjzi7e9+ZJycCjuuYR+3AGZQQgMN7T9cMgQujlMbX4wCSYq+h2x9UoFeUBx01L4GnOJarQ69VbTYnqrgHhQ7N0QBjdr3pQ+dny3yaiy1z83Iwmjr20tOfGzlVsRpvNhNAo0iCnQ2jmc7b3QMnLlUuv9BWr3P84/4IdrXi049cDY3ooGiQLcRvq7iCojVvY7UYqg52LY/g79un9mSANqfy+fg5nwf/jtqOrT3FrVyBfveMN4Dx1tLIMidh3IMP19qtzNeFtXKPKIwwI3MZLe2WdXPo9DuYfT1XOOhnfuWhWtCgnbt94LrFpGPvCfkYVn4uIz2314rS8D+MCMfe8lGG0JFE3LydREvtCVeZuaU7ZqAek5Y99AUlB0Ig1pNcRTsx4gSFDEB22dzY+DUObDDhYEwZY2sqbXLbRyVfIMBkfRNJNv5kAP2PTbftmXtBdi3hO/PR9TM0oHQfB9bCxmILwEfPtxDzwkuqth6/lY0dqSLYvpY1hSgp0MrD+q+eAfbPHkCYeCru+B6prK6ltCEBFuXA1PwbwJpanZo8F097qKeDFrmnWzEitPdhpdrQj5G7nOgxWCtLMntia13SYqYKvJE9kLb081vcLtjY+J7zMfREzAZ3T65r5HRKNstMfH3uP7gIFfujuydNfWJgxAZHpUzKT9uTZgvNiFu6KOgHuWHxj8wA+STk65641D54eoCEO01sezZ5PU/0gYJgHG/ASizuQCwfjZ1wwi0mt4YuHBc/jpYDWp8WRHW2JQ6WRdIwQDZCzOqh8TfnTf73thrIgsHK+wCUWaumNkMN62PgC6U5dQxz7wBbK3EGsSKsBdmdSxLqAJICpCN2QGNgqa4OtK6AIS9YiraRDjYt9A3cC9IT1cGKWn1LOTggJrQySjiEjZFDIpciDzWAiCYo/qWE0nxFTTBJCkVsrHGVjIQfaPbmJQSKSDhvSGvRgURorFzUcjzxix1JJdK1g16uVKEZ0oUaDgszJA8nYF9h15X1G1HCFce+NqjMd121CVif8Mtw37DgFjNc4QyQHIU1/+uHehozkDzSgTYrS2WU9j4R8P6bpQqNErOCNSM4E5D780Ax4s5iu6si60pJeIvGrqDWhQQItJhZQ2e5EqmQArQQyJ17PX+VzRHkv0jQYrnWqEmkEaqziB0M1CFO0CE29Y85gDVOXIPXTNCKf0Af+28qkKum91HhCwzFGL7wcAWox7p3J0E0qV9DNzpMFGSbK01dmXt2JWKtvlh7jTerDxcDR0NO7gOkqtyoh1cXeiKzzhSnSnyoBBzhsIqqBpaX7ywCg7fEQ2enyviVRH32gN8/ycGiCYDbip/TomiU16D7i2ESgHV67tnp9cNwQT/yOrodtVLDGLRfmApQcQg2p5NgyCf4o1z6G2zysJ2SV5/5lk/X5eAOTzewmkb9waFubY3JtZjjCDfC2VRbOB5kS60kw0gVSUzwwNauBMjiJeCeHGJbs5rXRI0CtLLDgw0fKgiPZGhU+5m5FNqLIggFfOLGKvHN0g/yKX0c6+ayI4DUGEzoavrzsA2lw7KGdCky0wAIxdI3eH16Zq6t9rKUKYIiSzHmZ8VeRfgjiUgsqG103MH+/ChUORtr1100e8/djaOC21tD3Y2+VleBmcYaMAPAyNmu+tzIIGgKaIqsAXsMZGPaLTb6Zlze/i+YH6ksKKXJOhhal60uCyzr30rn9DDwnV/3WgT7D0yaCyElw3pXJFM9d/b/DQRPgBlJwiZj2hZ3QrBy08S4meRWc+XAk3mf8DOx6Ioh4C88HdxNVqrdFZE3FhDur4NVovf7XbwLKQFAOXQgwrAgfh+LgAWMEw9QJXS673ThfVv2wOztfkUUKcZYVcs36/G6up+VWcFdP9NIYiXitOupoLKc+vwgeuomMhSyMD8Uts6oU0kWKERuH45t/NwejE22sS95qVj8bLz3JkPKCfzoYx15FnmcoiolkGdXgriKogbGU/bg1Hi7WxkKzue2fOzM/G0Ofn5QBQhbIqpKNlnSZq4JdDtkDveceNcj8Dk/FIhmQKY24MHDObob2ZEhUFuOgcs37FP6OFDZZtB6wAAAPlhaf4Az4oAtXrkusTG1JBCIcW6UIckfboC+dru6eWPFTgS4KoTsL4HamS7FwZdHIf1S+BJgfQccP831g7Iam09KHVKKe0d1975y4DnP1rg/W7JAPH5JR11v+P6lhU4fsX3nH8K7G+7vyMFOP7nqQW/rgKf7yrmDwGf/49cGx/+fMb22YR8r/jqX052NqmxqMiKiBfB8v1sYA7tU3ohoyAfge1NxP4A1rvuwOFbA040YbsEzI/GKkiCsnCcwt8d8PR3B4RZkd8U6ETKstN55UVx+F4g/2HB/iA4/1QhUbF8FKSzNlHJfOBzSwYO3zCmuXw5IZ8+bx1IpALpIhTDtAB5e6coX2yQl4SH/zkirorL4wHb3QLcFejnG+oWER8jUATre45tOpvQYaEdgoCldMky0AsZkfltBqpg+sAgf3674p/95Lf4q/lzfFvfUjjxkfXU8UJ6u0bg8nkg++SuQA8FaS6Y5gwR2sB6Tpi/SU1EzNkK6eKln76/FOpgq5VB8nyyrgdIbL/0vQfpirINm+/3XH94JjfGGwS9IW6OlnmWSdAQ95GO1pBSc3g9yuytJKxA3hxFbbDqcA/SDdqNww8Llo2xFFqwgEbx5He5kzWg0T9ydcTfjLMYnbI9uNGAt72JBAgGVNwVGP1S8HUF4l4hTi80AQ4PysPWe/+2Ni5eD2k0MjFkXwo3182lSscI0aiOY/uKPpBih0lw2mFD+5UNupuRs6zbmJVo9Fo0YZgg2iTPxR/dby0QhPD6Zq+B9OwB2r2ozZ1QaMvormG3nrR2EDXhFs/kqAImId9+Lq+ofdZORmLoRR9a0VoJjekwQ+zLZLXZjjj5mqq27HzjCppYyM16B4aAFC3o88z+zdp4lfG5qcF1MYxhDXeU3oY4AloEOny5Z29bvZsFrk65o/fva8yCnVdo+++9gjv0LEHQJBTc2iml355V0NagB4BOGYXXnY9DVgcRjvF6HeSVyhoufTWesEBnMBxOi2s98QC2pMjm1JTuEAWjS1KhOgysEYGXIoyfqzp8vg7f17LOZigBszsdtfWeekHAZ7Dfx5XOVet/7Ii67Zt+A4KRwgmjvaozO8Zxe31pbc/0uq6Y82D/pb82vGDPUQAHYby23s160xswu97Xv/1ucNj958Y28Ok2IRe3BS1KtPPF6wMdQGnMnvHZh/lQz+R6u5zo44fbLw7otrJw06sAmoQq48bgCZtCos/zMDYVTSOiRmn7tgW/tr6YujMm0J5vv9/mkuPcz4qbq3KvKGJH7QtLd0qhDZXcS016zSS1DKRUsHUQmCEaacr+VX6Wm3M61pUCP5wzuD3PvI9q2Q0pzswxMMcAVX8fg+PCgMcZJcEMTAic3qptTPjwAkSWycDBLaDbB79yacBWA3AwrO8MhKAoozKxPTtBctMRaHtFhoft/s5Y3yvDkgDM75iMLZFuz9xxHDW+2t5e8zYAqq6b0G7TgB0HVcZsuHeg8P9vdczDHzdmxSh05nZZATnw5d571wVDTZ1fAW8D6Oc0SxwMTPByK4Bz5TfffIAuwiiw8/U1I823tIFrFKADwlGaQm0VIFQD0m2ttxrzkTHon+dz46alASpo62XM5DrTypMo3EPSP8xByww0xVRRhJXOPm16L9PqzBjpPoC7IcFA2zjeqPb5UrB8YaArl1kRvAWMMRu7nom1kgGAVCnelSejvaKp3Y6AtLcNhPmt5UBR0HG9w9aBXtDZD0xuIu4w31kolGSfTZCC45SHMjQG2ILpJUOyYnqJqAtpxvtDbX7UOH9xFfbnnYFiPZDdB6tJWFLk5RR2RjmgES/SfNwxzkiWVNE3QPUeyM7MKNo0RdJV4SULCvQ9aqU9zOQqgtftKxM+3Cv2GLbuPCj0fRkS7XK6sOQpne08PAhCUpRae4Iroo2NOFPG14n7kcnHqCLeZ/Zy/9TpJEEUMXBdOHsEqoiQZnecieJrndtBIIHrrkY1O4+eKHSWgPlH3F++3nF7iXUEMWdj1Fr5r5bJ1ZRQjhH7cXSquvPSagZhqLHVoUhWQxSdsgtDY6RRgho9pXSDBPQNkI9otUYuBLU9wNBStELveO2b0AcnFh7248X6GUP5LgAzCZVqf0o0zeki5W62h7JAwc/SKFTvtUN2dGTDmpGMGlMddfW/tSxt2C2wCL2eLV1KO+zHRt8AqK4JOjY8CQvi2rMSMMqb7Jn1pnsAUkQ9zS3LpYPxpIJmP9RViFSx7YFa9oQ1dq4WTdBArI2BSdC3WqxuVF87tY6yLp+s9tPrTE1cIr1UPJwpnnL5nBnmeKXR83YzdP5h6GpXwPWD0mX4dZkhIdBx3PYhEEKjA8rphHg8ABKoqjpyKEtuzoHKGOTwvx3ltaGviuRKobmDJ14r6AGCUwl9PLwXMA1RGAJbGzsTsykL+sGj5iwt/H/JZtCbkBGD4laDN4AtbKFgmSqnQM8RMkWEVYC90Gg3Gr7iRrV0UIDsYI61aoq+rgJkMQrPa6d8+DFslpl0n8MyuJ0iaterwFZyaYc9ktEYz1f+v+1ZAh5CpVxDy6cXr+v08efYegbXg28e0gFqgi7MunSRqbywhsv7X4ripn8eVBsduwFlFvRoVSRheB1yt32kmfFw8Dr4G6NugZCzNLBTIZR2x3rmOhD2Wmk2Z2ihcjCmuWXGAEBSwvb5AeefTU1Epa1Td+6UNfO4uvgQ1xap3bXVzUlFK1nZXWhN+Nw1Cva70DJQTnf0ANDPDFdg/7H695rQ1Mw5JgJJigKBLLC6x9qQYVdvd/aB6xugarOFdaaCZrhkvs/7dqcAnWIPQAF04TNFuO4IV7BVSaBavdtUUkM98w5EpwEL4CycaPXsukToISGcNwtwAjBPN/tT5gn66ndet4sUUIW6DPlEhey4GlgowdaS0YDLsM4LEfMQgCpUN82nCFdE1oCmNqsBTUE9WWDhAmFNTTqD9coeVAj39/xYICWw/nGnjavXgPQsmJ9on9IZQ7cEMitkzTy3DgmogpANTHZApyqZCnGICGOEHhe0dnGj7UmxAzlD6Ud56M5nY9K4bc+ddSKV69XXMOcCuL5jHWuxdlvUIOGY7Xc828gsG2qXg9E2h2C6TqwFbPtS+7qPG88/pyX6626rPEgqJkBYE0UUw1px99uMskRsD3z+/WFC2BPiVnH8lton62f0bTr7xLpfLBH52LPT/Ey+ls61rWcfj+mltgCwgfIX9L1QjC3y7mABMvdVOc3tmdKL2f/XoJHXswPNdnv2NuxAqto0TVzd3kUUXXzH7fV+8mDXXhvaPvnZrgZ++e9TVcQnbT4Q4MGSiek807eYP9GOT08mtGRneFyB5UM1aqyznHiOhK1ietwR9gK5ZkgpqIcZ9ZAQ1tISKzUFIAWkpxXTV2vfC4OI1/J9QEmCeiRrcH6kPy6ZY+igap0oLoUKPP8D8xVM3Gx/YPaSgw2Ea8CbvwyYH5mlvX7pwabyjJ85j8tvJhy+E7z8QnH4px+xbgmXv75DvAZs7yr0VCAzs395jyiHGWETY+YxqExP9IE+/JOJfk0BDl+TDVKOzi7kfRO4IwtrOlfsd2xrpAFY390CGdMTcPot5/nyEz7//Ajc/Yrqy+lCsDs/2ZybH5vOgnRJLViTCkwvtKPr24DzT4JltAnuru+B/Q3nf/5EZWDUgFD4c7qyJnu/IwPJ27FJhtVcm729AuWrBelK3xqL0sYkzkf9doGIoi4EWeYPAfFigoIrn/vlZ2Q6XL9QlENnY8WXAHk6IBZr3VqA/T/e49//zT9FugD3T9wf+TDsB6GNZjcMAIgoU8T+kLAdlGshch41KZAF97+qOHwo+PQnE57+BJgfBW/+uoNPGoDnXwRcv+Q9T09kU8TPmeEvi7RuJnUC8tCr9/ddf3gmN8VGC765ZDAYVnzeGnqvQ5AbgWg1S02d1FAGp7yOwkUA4AjL9law31OlbrbF6MXZejahH8t8UAkZ7QBuh5dfqj0gyZ1iFbaC8GIG5G5uAjhqzlBvM+TPTafS6YwNZTbnKGykOmjwNiaKhthVZd66mjMWnaqYm7FDLt2ZByBqFERD3eH9AkWAeaIBzgUoBRT3IlWxTpG0TUNO6cy8QgntCrtifi7WIqpgbOlSF4IcLZMSTbjBWw3IODbowaGh56EoDzKnmgnMAQHSpSC+7Mj3M65vZ4iplAJoSJYrVFLwqgdaLf3vwdGUmFmvFbput2CBZStlntBaUgA9MABI8QzSglAPZjygHNF6X6PeM9TRuDErpuigihQDg2yNu1PptTTtNofsWhMxcYfLxBkI4AjQDmYuJw29P+BYU4OqrYWQWwNNwVDIyIDYna+BFuhGvI1T9f9qywAjRkhywSdpqLwPgO/5VtdoDAnvjSlFKTLlAezryzNaHuTOE6nKe2bQpwrNFZAIl46WUoEgbAmzMZPkwbdGo1e3XqH2hGIqkdHVMy3ItdYjXhrB/twwalBfD70mRRsQwn7MZh6Cdjqc2NyCNjVdgXi5XUd+tdrnkdpqGgkSCNTcjJsEQAu0VGDfAZkJ5rQCIwApIt9HrG9Du+dRSKWxGMx5ZTAqDVwJWVvAL6JkYER7nwxjmyww8iyW9DFsdgNA8SC7vhpPoO2FtpZ9f3mph/AQloIb1kMTFrK17/oB7DNJQCecTU05SrPp1duHOQN2ZCKshTbF1pecZiqdptBolbIzwxU20gzVAmH2ObZeuIeJVOO9ADsD3HqkZ+1igSqWYfWMcwXPBrWSgRBQ54hyiC37JQVIoqheZ261t+lpJ/XrkLi2QeXaMgfsd3Go+SfVrqk0e71lpnPvivwkT9Doi2WNaYtNjfqSoZIQLzwA6kRa3vRMMaPgpTBZm31olG0NZp8ts+tBLQjiaC5cNpUOFqx2XgEGujd7QSzg6WsNgaVNkA5StdrzOgS4BvjUKIBh3WL2nQrE0taibgSEqtn1ZtNv0q5owa6TT+qsQxbNbJexOgCj93lm1O9/sJMqtueiUDFaBYeXgvThAnk4YL/nGVtn9tecnjPiOWN/M2N9R98kXbjpvF2cBp9/BhFkdtXGwJFSUc3RBYC4Fq55Z7VpBdq+K5YJTCgLtRviNVsASn+Cn10awEo7HPrcNV/Chcow2G8bz0k6q3Acb/NTyoF+ZCutQ/9cZzqM57ZnQtOlg5YNCHRfzgJdCGmnurG38vTimiv0g+eX2pkEXsYTQDbDNdNOvFyAXBBCgC7sy+vAW7mbaOsvG/DdB8jxCH043azz6RnQ94IipFLHi7s4YmPMZywG1JaDYntfAAGmT6zFzG8KDl9cEEJFCIrLeUH51dHKOoD6kOFsmjAVvH1zwZQKvt3fI+wR+acb/g//4D/i437Cv9v/HPklQZaKOFXMy463dxdctwmfAOQ1At+lpmpORWfF5Sc8X+5+TYFKsax4XEn3Zk22sUUuBXGtiO8onlgOgvUdUCe2UiKIrbj/dcb6NuLxz4ByX7B8SDh8sHVtjIG4SgtwXVE4XtD8XVR+73SuuHwRSBN2n1dIt4YA6SVgstKOauyG6UxbvN9T2CtugmRAjOu7OHU7bhTwJDhhSUCLkfjs7GqT32YGxRfraWw2qxwE2xtmkffPCpWiLxHhwr9dPliy0PbK/NTte9jZDopgQN9HodBW685x0ATEXazPsna2iJ3Th+8Ljn/zhE//8D3ylzsEU4u5fN/tD4D+8RXrc4LGZJ04XtnKWWln19dp3x+//vAgd9uRF/YyuqlH9IHYgbCaU2cOSk0CsUJ/KhuyXxkOATj1GhmvXxmV7VT65KqgFfrno034Lo3SMqq4jplc35B1EuyB6IorPpclQA+AXoR9+0blxom1Gx6Qtt+LNDXV0OjEgNfQ1mVqQVXYK50so0u4mudrairfLNBq7YuiQENkBnJ0bnYLAsy5Qraema7O6aheNHVay+6Gawb2XrMY9mqHLb1BjYoUA0IWTBfWJI5UUj9sWMTP/273oTtFAuu/+yNrRg1tXfnM+S4RWLhkjt8VrWYmP8woc8D8oiiWnS+zKale6s1n+tzSMbcD1bk+A99LXBX4wuwJYuCGcyS0mANVBx5ejMinyAPRHWbtQaYHq51yik7ntq/2LODN/vAa2YRW+M9sydBSJvXMlj8jM7nKQM2NIdAPf6DVzeD10lK0/eDtfvi35rSP3Dj/LHewQ+iKr7vVyPo0hGDvj/3zLEgY27IAYEAxCBp5tpZZYSLUeAVE8M1y8xqdJ+0O3ut6c8csgrcXEs69CdsQfTZKd7bTSYdWLgBp1lFaWYazU1oPRRey0w6g+Ty1KVMPcJ2Wps0OMaMoCElQJ/JAmc0y+7n3z3BBl+gK4maT0BSAe2a9tVRxmmeoACLkEIED+YZaKrQOKeIpYT8G7Pe8NxVpCq8MUvigYjF1A1qUdUeleqs3GwDpbbSaXTcmhDt3DhY4INrHDMOZ4feDRpX1AHfMcjeq7IiJjCBJBdJWGoWzMZgFkFIJKBSFFAatjUpZK2lsCrIXlOsm7IEg5MAkUFvvYcuA9UOUkY1QbW9YoCohsNYUgKuFsoUQ13m4WO9jpyGa0Ax8f/m+8HUePaAsNl7Szq1QWHvodZq+h9p4C6jmPlEp1rNdPk9lNkdIumiii510Oppaixv7/JadN3XcmWsKmxKcNiDHhQwdOGEPe55RYplrWXdzqCLkeBjmOJBB1YAHA79qbcDWyFjQELDfB9bEDpk7D2o1Ciq4PqK10HDgJu23jtm4Tknd1rZWIcBmdY3e3mYEef3/y2JB0QvrNPd7QTnQLsRz6IC87bdWa25LwtvXuMAXa95tuVnwVw4R8ubQajrF/A9/ljqzjn5+LnzutbZ9lg/22lPpjmnVRnHXIGQhiCCdjV3m1OIKSHC1ZEBVEEsFcqWPYB02IszGGbghe0FYM1xRGAC8Td0EUkj3U0K+o+95+FBsLMIQNDLgnc719jz2NokBDVxsTL8B2OjnO6cV5ntWAxik9v3DMhZliY59VrTaRQc4PNmjAdiPofsONr8NsEsBWgMwJdrwWhurif4eGSGtfOF0gi4TdE7QMthzAx9lD40tKRWYn2xqBpsrLoR1DT1QA5CeItZ8gi4V0wMRvvPPFNtbYP0iI50yahXUPaBuEZ/+7i0p1gJcf1qw3G34uJ/wUmYcjhuuAPDtgvgsuHwx4bhs2HKEnhNkDcbcxPAM3dZoJEvCuzE4pVcDsL51fRO2IytTP1v8PCCdnnPy8tOEOgPzR4E+J3a+SNzjgLTkHXu7Mo7xzictwVEJjNUUuWeP3chIEUxPwdgp2vZSXWiKzj8JDbxN576Px+SFU8TDyhpnKWgASk2skXUfkeyZBO9Uk+9oT6Yrg8J8R2AsPkfgOba1KJWUczGwMWTWtZNVwEy1d4BgDbezHYw94b5k6AyWto8qEDKz8vtdQPzpHWntZ6pA7/ceFPPvRIH6/dySWT5nIfc14dTm/2rqynJdKbX+ThvFoCHuBUiftC2qapx9Fx4h9YY952gYE/DWRJdmy5ZVaW2FPJOVjRPPIJGfne/ouYcNCLW3nXEExjdsp4lxsWkU6Bk4fKCxWd+EdmBMQSAldLVg2LP9oG4JzM6K0EmJ1aiyRI/rkcMc1gxZd0jkqgilsvdhURq1V3PWlP9SgJYBvXeaZlFgB9uGRJ6asmfo5QIIgxE16rR6H02rSQ0vFCfQ4wydExOpRkOsu/YseqLwVTwPAZ+AfTQn0pvrLGxk/c6cHRMnKDNaht+Na1wdHeoiH9tDJPXhvCNcc6sRyu8WrO8SjfIjg6z9nsyBuDLwJtUr4OZSMJs91K6pO0AhACnR+Xm58HdTYkbAKd+lQPed7VX8CgHrm4D1PVo2zmsI+FyukkjkG9KRXr/2ExUAAdw4XDf0/kTj4plcjWxDQPU8Q6UFbKdkPm7cpO0HAC2DiyET0b6qBYtAqyd9tb5vajxDoFPv4jtTJEhTCg9doAURrvrYBM7GYNmVj9t48mAYqWik1ZduJS0DBKArzE7JVAgZHMAzypbF/DFRNSodMpiXYgJtQVi26oBRu0/88G9FUCKBrLKwlZn3/HT1x1YbNtTztP3sTrBTlXO1gILjJlpJR1oiwoHPNlvtScugg/bP6eVhZYajzhQYkpoMnCmNuUHqdw/+xesZlxk6Jci6Q89noPS9rYcF+z3tOdcggZQ5EVF1xfOeWfWsmzvToauma3fm69THrC5oInbV7LlTrzRy4HxfiSXpfS+Mi7m1xSroit1m24HhULTxVyXImF523Kiv23qUXBFeDPhySnIKLWiVPFDnVRH3AlepbXtgit1BN42F4K85CORtrfwcmgKQZo7leevBcAwELc9X3NRQT4lBXghADW3vtXZtts7jmcFdOUS40qdW0ojT896efywhGFkK2frZ5kMvkdBE7C8Gjr8GZguCAzLZyka8ftOCbAWZQuVo6qSZtVpev+nz5IAIxCnkFXXm+Sl7ITDpY7AY2FUqvBYXQNsHsu2d+RSkz7XN6/YQsH7OusVyMMf5IzM9dQKFu6wFjmcxnQUSN7U1baCZ7QfP/vqVj8D2Ft1xHfYEaXdqY8uHP3wHLN+bKN17/s38yLH1kh+KAvXgy8WpahJML5ZlrxakmjNMujQFpwBzbo1FFXJFXSzzXxTzx50BrPk422cL8ikinQumT0TcdAr2OfSFyiEhH5NRbVegKOoxNQAVLuQzU9QngnumRgLkXovORQgITMTz5QpZZpRl4R68sqWXi3niyzvsDwviWnH46gLZC/b3xyZ8J8paz/nJNBW8G8XRxtOBAo8XQwdr3If17KwoWks1Ta7P0e1LWQSi0lpWEjCgjVvf05mfnoHlE23rfu/vcV8BDXyoKSBoZGmClwtZS0rY2IXnK8+/KUHvj/TjloQ6gJakHVuZV+FZJzuzn6IUjqoHNFAeK1r7HqelTp8Ex68itjcRa1KEuWD6h89IqWIJFXMqOK8TLmWBXiLe/E8R6UXx4Z8r7v/kE+4PK75b75A14LO7C15Swfofjnj3FxUf/knC+pMJ2zohWeY4FEcqu13wmn0Hl6ezMw3QEgLXz8k20QmokfFIunZ/Xwywmh+ZPX35Y+6D09dqyssWQAsj/DJbYBiA+e/YLunyRcTlS9r8aLHOfk8/anurKA8FMOAvXIHle8H8qC0z7Ha0JuBqWd/TbwWHbxmI7veW/DMf2oPYw/cV97/e2plbYwB0Yg/kkyDf8W8O33HAzj9lb+S4Cst1IMhWw3z4TWRMZoyFfAS2z6qNlwAF2D5jRj8+R9QPBlAfjc0xqzFmgM3WvgelZMMNtjBL8/nXtwH5MKNOaCJW6zu7hwMDaCnA4atoMSDHLF67aBZAX4LJ0/9KQS5FHvxwsuCoCpsvC41CsSwugCHTJO3vysHqoZbu3LQaRVPadOe/0VKiT5K2jICnFmgkdDjYpQUkXm8auBbbhGgEqv2tt+iQ4od1v//2/6oQiDnZwgynAE1YxoNR8CBoSHJD+T2bYM77rs3hFhGoBkRXbnZBkjB8dghQUdakBel1YqpUEB6zWn7IA53KPPYUraRoIEQKPAQF657YKsYppK22htNnzpXNjQuPDfML9AO/B4Mw0Sq9QcEBGF0wtkyJZG9nQefUQRHP1rbLnVkThgDA5yv1NonpYzc6Q/b8bSxE0FpQjNRly7zVaNkxDyorHceQ0YRqW42QZyz8Iwb0Hu7oWBbQhdCasI6j+wGoi6JONg6WqmpUrQRU7UrmIkDzLtsXox+gQ4De5xFQSM8wGhWViuFWBz6OUQCR2oG+fFN/Dhles9/ozUwAUhuYIf4ZTjUvChEi/Y2K/PqqNm9Ve01u0O5UtQycr1++3r5e+XuYOkmrQx9qgjEwOVxcytt2+By4uJg9Un/ecZyHYEt+5FH6PfWAsU3dELSJIf4OTnh7LDrOwTKYQ5Afhv/3MbEMuM9tU1j2a2h9ptaPuoIHCwDrL9hpm6jCIG54NgdrWi2+dES8gZcCFO0Z8eL0zIgWNLiD1uhiPn/u5wWzxdLr/12N0jNaPnd8ZqdeD3YU/WdxgaM2XuMe0qab0Nd8nzeU2uzKzVp/9V4A3FNCZ6J9x1jzPsxBt1nduSWLIhO4i+GWgVEo8Ebqf2XAayBgAKCl6xRICKhxAFdtLFufeKfhD2CxU/RGUM3tSxMRzIMdHi6pBCaDnSUqOqwZqxW0j/XsQJ0Dgtq+rmjAlgMFbYZUu1DXyIySPr43TJKJGdwyK3QCbYd0gDFZ9pZ7bTirxqlpNsBU7zH4JXY5jXvMFDro1Wmq9nqgUjvesVell0+4SM4oJuMiP167zNruPu43NbzWCcAdba8ddSEpHewkALLSCgwkZXlB3KgyH/YB3Pf7Fl9c2tZgLwFw8S/azXG+4arddg6W09Qp6kDL4DtwhAhg6gOsInT2wY+vU+Q2U/oYUWjLXc2e34tW/naTVR/+YWkKbUkAui5C4ZpFFcSLtlp/n2+nhkLJAhBnT0Qgr52Z6J0GijNSBhs/nstepysabu24rXEdGUw3ZVZ9nZcDg4U6K4oCexXECShn+toOHjo1volSwYN9zpuvb3mJqFtAfgCAjBrI3tm3BN0DpHAvMNumuFwnpFiQ7gpyCThvEy7rBJnIcCgnxWkicPLyMCOsoWdtBUAwkPVTV+eFAPsJyJYJJ7MBrV4TAFzIsTEsVhvUAOymcqzMT1HIaVUyVczeuQJ8OXC9s3cyPzNdABfTapcw0ZE+JmhU1KWLajlDUr1Of6D3umBYW3+p2z9RacJ06WIq4ADqQl9ke+A9eu0/AOwPXaNCMm3HfkdavhtXb7c10vPDPnQEABCvgvQYGT8N60KjIl5JnVazWS6UKQqUUVhUASS2jvSkTW8RxBgxrrZkI6DjnFW0z51eWM7lfZeBvmb/PtcfLjy1LO0AKAdFOVXIHqxoWLAmAJWISnqhUfB2EWWRTm+NQ3ZPndrGCSiHPkiOempS1IOyyL0IZDdr6zNlRixcBMkyA6501moTLVMsqtiPVvhdTSXtXDE9G3LvhtkXT6lGJ1OIFSySzqI9IEWFCxc1pydYLe6WkS67OfcVN3WMbrBiQLgMVMTxcF0iynGiAb0YmrDv/CdG4HTESE12tUlZN2YFpoTy5VsKjVwywjWzfixaRi8EIqkmHFHniHw/IeyW0VU7KCKQl8DG4MbVd5GGdgivaA5xyGzEHne1lgNWWL4ZsvkwQXLE9LhBrjviNdO4qdWzwQxTCWgZAmcIKKzNSyHSdZppLI1mi22n05ci2MeidKr3upHaeViY4QIgy3Kz6ZEpPKUToEZj6xNCg8TpJohRBFC5rbtubQ0GCmA+ootcgMh+OVjQulQGZhag6WqRMNwxUpRjz5ZDzHjYtHvNWagGLHg/vldZljIHU1f1rKo5Q3tFWHc63R7kWlalCXbVynEUYQFlpAemMaIpIt8YDHPSN7aU8uwXAAumFVJ2YAOD180yB4e5icp4MELqYoVerqw5nyYCPDFAF0ZSUkoPKuDOH+8hXEdbIf2z3cmKgnKa2a8x9VrzapSlRnM0R6n1anQbs3tQ6pPbHVL11IGPgR1A6aXcBFdlDswQVNKaPcAohwRvJVaDINRKuvUee4ye863z4wBOLkDdyVbYdqju/S05N1ujCdBTge4Bu7VRg/Kwj2uvW4QJfjiQsk/B0G006nIbpyEIyJXjuL2rtOPR1noReI/gcBUG0ha8NsdUQOpUFegL4BRKX+PJhJE08uCNV7KFWnDvGwYgu+a6t3XfaMdhCFqNwjxmVLVtNO4BrYG0yhEwcxuPQI4l0HrfypSgHnA7ILTtXPe+V0KgyNQAzsnjC/TlDLk7oR4WA50Y0RAoCaRKr5u1S4tUgT7XFvxKrtA5MMtrgUAoFSUG5EPAdkdmTp04zqMjHiBQy3C5JgKVRWuvua4/BGvSS2Z7mBAoqmi1mhCwFMTqRJ3Kv58Cyhwo9iJChpSzbRrDA80G6ZUek5j4GoXnjKFj1GW/8olZkPxQ+7k1KbZ3zDCHb0jzI83XwHenlfoetgC0HATrW05xq/8Ut9HmIEbtdMELs4s/FGRUnH+ZOxingioV+5tBfbqBOIK4KQ7fZ4S9Ih9iL6VI3Idxc2CYH+cgXVwrpqfe1lBToPjZtaKcEvZ7E9bZqMMxPW1IZ4GsBWHdyeZZUg9UjQ3geiZidFkKuYUWdDEjp+17MUfrpw3kU8B+N7Pl1SNZEOU4oRw8arGz0352xkGdgrEyBPvb2Z6jYLpmJC+JMdC5RkE5hNYeUj2QtHKgcrhd62ETCutU4PCxYnrK1rqIYxgvlfd+x1KweKmIWyW7zVSkQ1bbXwn5YKJG19rKwjpgJ82G+s9IgfTjqBSUS90eUa8i2r7vF/s/999tnynKZwU4FlQAOwB5SVCJiBuw39Nvr4veUm2zIJ2Z8dvvgfxZRVgFp1/RXlx/GrAeUw/Oq0BWtiS8fslzLuyC+ncnfPp5xOmL32KrCR++eSBV9U3F/k8F+vMr/uHbD8ga8d3pgr1EvFxn7HvElCpSKnj66h5v/1NCujADWxa26Nm+LJA1YPlAAKzO9CPTRRpI5WyHw3cc25efC7afE4xwRefjNxnT047rTxZsdwHnzwJe/rjS/3rYgSq4fr5AasB0Vtz/qmK7D3j6B1w73sLy+JXizV8qru8Dnv7M/NXIs2+/I3AVN2oPaBDkjf4rNVnoHzq45doU5VShMzUToKllrBmIK+pcsXwfcPiW8/T4Tws0KI6/Spgf6V8+fUa/kmw5E219ckAS2N5I7w5hoMvxK8X93zKzvNrf11OFRsXyfcLyPVAXsny8nAkAru/5+1aKIYDeU1SzdUMA/aT0Apy+IqNguzdNpZHpdSGL5v7XGfFacPnJjOs7C9zvFXW9Xfu/6/rDM7ljzWoAnRS1GjY1NEsBtUbMCD2d7aIjxQRHomhTAmtqm4ImmV9mpcEyio9OFTJX6B74RjsceS/a0TDjj94IEKgFXx4XD47q2M+QH2ZG+pZw2V4TxS3KH169p9IwKYieoxCJv/kMd75c9Vf1x76NVwk3jlYDAW28bwLc15cd9NVUb/134u1iLCsNeDCkvTH5iDiOl/t0HvuFjjd0Xn5XUQu7vmq5oi17jyhDdsNaSChaXdWYHfO6G3cmm5BIECK+nvkuPzKW0v/uB793J+nVRKoMsa2/JOiZDRl+5/engHg20GhMzblJBtiMQW5S6GKZx6W0dlAiilp67Xdb5xYsNeR+yOK+FsTi2OlN9nwM1scA12kxjSbcBoGBxU1rDv+vZ60qyAZQvX0d6CizZw+j7d3xM8b94G2fxtdFerDh36mvvs//xqiMDKCH+a5ozhjUFMVrB68YIOP22QXNKfds/I0z6zb81bj/zmt01sHxDp5Ylf472HeqsF6I9HILLLMywA1WjzQyNzyb3b6gB13qNM9acZPJrfV2fQC02Umhag5h5SEU/ZnHRxITgZn6AU+6cnfkx21VHcyZKiRVSFRoFWgO0CyohY6TVvlRcwYZ2qEBzW53NVXBYCBvn+v1XNx8rvzu19pXe0u7V4FqfP1GuTknHdSEAxP2Wa1+dFzHQBcVHO/J164DNI0Oo415wUyu7Y9iDrALbY2f7+i7DuvbAq8m5vUjY9/qFn3MLQh73bXAM3guOASpJCHE0JhIjfFgZzZg6wescayTZXRNOfwHc1KVOgoANBEAamylMZs73JOfFwI04IV7SNs9NDvrH9PuEc2Ot9Ioz2ooWva3fU8A6qGSmVOo3O/lAJ7FZVpJIXOB5gAYBbBGIEDRW4H8cC5cqR3SxSO9NruVg9jYUvSu2jkd7X39s7y1nMbQzgQG+GYzUoCXcUiwtaW0DyN7p/kBPp8AvI3iqHUyAuOqAhc2NBS0f16F1cQKmmo5+vpz/6GxdGpp60uXCJiwU/VynmEd+Bzc1kp320IQSAHXTzBQqA7GzIN4Ee33kel7kJUXWv2t2PnaulPYc/ha0xRYs2zzpYNf1LE46YCIrXMxBmKbS5sHCQqJihAUuVgJQ0Drk1sTAFNFNoS+j+24bYp9XgYkh7ZuxUFQMNiEALIz0ZWz4FomXPIE7AFhtXNkYhAbRJFQcD9t2GJEMVs/xYIpFTxFbUkSvy9NgBwzVCKygVBtKmrPbPoguF8PCGpSRBdxG8/q0tdiPVTuRf+M4CARION5OdgDKcB0UeQLs8+j7fCzMBQfU6Mi21nvjA/GImYwA0xAj0y+OvN95ajWTaNCJ+55ipwKwWJjOIUdwMlsk7WRGll8zT+05F+PnRiMT2dliUp0HSRta8C72QS3+R4zGGsWbtvs81TNjpv/6omAZHX/ceLGC+YXt5ZOm5V3OdvK7Ovv9ateXf9FanKdWikKhLOl1CcFkpgUdzfONQL7kTfqA+iZEU2Wfk/W/HimcwXbjHK0Q+xq3MxJIbHSKYr8nnBhBoC1LhwJFlArphcxkZJOZZ7OFWMQEFc25QYoiNQQaaVaYKNmmvgNUXll/U+tqG9PKMcJIdfe3kdMBOa88n3mfGoMrAcFOi2zFFtwctsnkR9Eo7dnTJu9Zk68HhfguHD9OmLtDvK2c/2GAH3/1mon+brsLlRFxDWoQl52c9bMcK4F6QnQKaIciOBKUcSirFtWipQ4LYNoFJoEvaAb8HzwDK5iusCo2xzjuJoYSlVmAnNFXFci/lNsyHA5mNjVzM0Sbb6un0/QMGG6EGUNuyJeiVKHKDzY1w3yfAFGIOCwcDjMKdIgFDEZ1Z5SRy01deU4wI1j76/WakDA/+4nW+MLaz6a8qaj+xP/8UxWmApiVLx5OOMwZTxeDljXhDgV4B7QGlC2CC0CrAGyG8q/mwEwAx52zywOzr05xK5E3Wj5W0V8MXTf5ri1wxocStkyn8sDyxCo0u2fHSx7Wgq8DlFM8VtMRG1kGDQBsHZvaIEYgNY+hdmtwtrypgIdIUUgh4V/k2Kvvb7JogGyseZyrBeWve9nGZxhrQIkabWYYSsQUwCtsTtZzkJx1XgKP+gNUOa0wOB1iqYi6nuz1UUGYRBuB1udA2oU5GPAducI/q05iBvrH6OpDEqukN3GS82gaXf+kX7E3McI1O6o6WU1Sl0ALoCU1NZqCUStxZrJl0kQYc4lBPvMsdneCLZ3vg9MeGrGLfsmKIPaoJimghAUy5yxTBmlCnKJ2HPE5eMBugeEPTZKFNRAHXOApZqNH5TOe72pPZetO41AXVIfr6Kohwk4TL18xOz62AO8XUHQ+n9V621uttsDAi1oWV+dEtRaongPWxRr6Qb07yj2faVYIBG5t4bSCj9joAo5HaEH6ilwvi0Db+vYRWggwtpKqzFEchCVzxQv1hptiU3bwFtDTM+mGO6UWxtytncgOyRduN6j2RN/Hh9L8YAm2LO6M24mqRwiysKWQvvJhWU6xTXswHYfIaeAdI2YAYRcEZ63DhRPCdgz1FgfEqKJFUQyOnKxz+v2PD1vWD4oyjFgv1Pkd4WO+pnCN3Ui9S9a+7wyCWsowTMu7GqURnNwDejcPivQedioc8V02pCi4jRlxFDx9HzEfk0IU8G0ZOQcUT/OkD0gPEVIjTdBAxdw/yeuFN3RAHz6U7bXOHyorR1UvNJRvL6nnsXyMSOuBXWKKN4CyESiqmVT66BrEVerxX3HdestDIPtGZ0i9nuqcS8fq3124OvOeADIBIqBn29lOToTpAhrpb9lZ7Wzijxz3DQgHKA0lf96mKAxINrebn1j1TLPCkCtHdZeIdeMekjMdCdv+yYd1LAATyMQisB7wquQsjk9cz/kY4DG1AOEig7m2r5oKtD2swINlE7PBZMW7PcR20PoFPcWPAlb3wR+RjkycJk/bDzD90J/MqCBD2Isq3p3QD0mxPOO8PEZoVzbXJ5+LdhSxP5WUA8VcsoIS8H1H2xAFkwfEuJFkE+KeOSY1yLQnWNYE1V6D98GbA/A85+RaSBrgGwCfVtweFhxfZ4hzzOgQL0zcG0h0QLXiP/+//OnQBYEU1UPV0BUsE8H/E/LTwAA+x5Rq6Bk+jYsMxSE58Sa5lOgrbkolu8F0IXn0J0FSpdgiRQGSF4eI4E1nyELVa6fw42A1OMvJ8R9YpZ9pb6A2L3OfzMxTnhiXej6VvDyC6o/H7/lXK+f0Q6wlpi+9cNfWZxqbK4dPP+oX0QaLtthKq5fCra3Fct3AQ9/zc/c7yw2miNqNCEtWy/TszFdrxGaFPNH4PCRQMB+z/N6+cgWm2URhDu0sZRKjYB86v6Ol8h5nBMyWk/cfAq4/owHq2xklECMhWvCqIDpFdjfprOQnfXZDr1GTB9Ie6ZNZdb38B3VxudP2Wwq7VgoQL10m1cmwdM/mI0NgdYuNGyC8l+6hdC6rljXtf38+PjI/9kzPGvlNVQqoNNuSFVD4gxJ1KSoFhCNtT7VaG2aSNmsc2UgOxekqeJ0WlFqwFnp+Iijn4P3F7KYCIn0pFHk4erIgPPfnZrstBVflGGvFnw7TMOBja4SDTPIKo3GJutGh1lcAl8Q3VCDDmzIBXq+UinSaLE6DxM1ZtJ+7BJpqKj3CHRhKRfkEQvkWoA7ZMX0sKAep+bwMSCqzXHiPVRS92plS5YQmCkqFXqYkO8mIjjWNiBsYiy6gHwwo+/UIqdvcRDgVHVROkVxrQzGLNAaG9Y7BU/WzYIXyyYbel7M+XJqIsBgksrEAUsh8hRKaFQgiCBctNO6p9TBBt/wNaPWDNGKPNA4W0AC29ipz5Nn8JoCoy0bf40InAkOLP0Q1QBmbacKWQriVCGiCLFimgq+OJ1xTDv2EpFzREoFc8rIJeKMBSUHshhsfJ3SOYr2NFbCK/RLrDavZWEye66Skhxb9kiH4I8ZAKP9eUDq/aDHANWzUSlyHlVahkosJdKCUWirqVWbj5u6ds/IGoVTQm00Up87oWSn1YndZi9b4GEwrWiETty3DViqrwLv8e+LIfCN3YHOGLA5DLUHuWEf0VozyL6u7Wfvd60hWPuxW6ZED9LQhcj8+8xWAb3/pkrgAa9qzn1oGUK2Vslg72ft67xkVOxQycgYvOl9b4i2K3fXBJR7LqDWzs0zWbXdfledPlAszcFDFa57TQo9ZUzHHTEqpomASbCF+XBYcZo2FA3YS8R5n3A9zwQxBfA6K3cwvd0BYGfIjzIz+n9dV8DFopxKr1NkdjzTYUcW9mV1oMWDx9jXHYBO1x/ZDs7A8WxtFNQl9Sym7TeUyrU82uhXzAl9tRax5942J1EsT5MBRUM219X3NXqbu9pBTvH79/OOZ12xIADwM3AA7QJaxkHFwTMd1rtavZy2LBxp05XjkIytUR3Y6fakTgFlCWbP3bHjZojWg7fXwivSS+znVikcC9/zu9nrhd6gBkERheoO0Q1Z+jqXa8F0VqQXa3+YKhQBLmJG5hjM4QUkaqPeU82eYG4+cZ034ZVDRbzLnEIFluOOn7x5xhQLoiG9MSiepwXzlPFwWHHeJnx4nNEEDDenR9MGFMuMtXsvaP0118/MFlwEcTVQLlfkiaABRRvt3iKDvLDTbjJI7KrxGpkMSNdCgM1aSHmtuNp61RiagjEA2jP3oUptGXOqeVcUOwfYUtLXHddD2IoJXNF5lkrxNeTSwcdidPQY2EpnPHuNxisW5DLAjR2YsjXoVG7P1I7yEc7IYTbP1yYQd88k0d/QEFq9ud4cpmh/0+qS7fdkKSjSyhKBfIy3rdMC6e7eZpPUctuHSRiQbYV7bC9N3NHPLym0MTkptKwI5yfsew9yDx8r6ucU9ypJiUtHxeHdBaUE5Md7TLs9b/KCyUBX1EpL4lWxfFTkQ8D02RUpVVy+PiFsgjAV3B9X7FtqiQymrrX/c4mYPjDU8PFnMCool4DzM+utanY7YTFDEQI/K2toaxQrd2OgpJHBeX5j431DUVa4UK0nXwB2LQi5Ih/YEQYCBp0VOH7D1k/MTnIfHr8haOTPVY7A9YuK6Sng9Fv6BOs7YVubAwWn0kVx/I6+FUsyff+Biu0QSGQQyvY+ivI+Qz/NOH5LG5XW2DSOVKSJUgG9nlYqxySdFelSUWPA9BSMsm0BexYGplFborsctIkIeqmpGINMojBcMz+kTkB8s/EMvi7MUKP/bfNL4jD2JuI1HXdsVRDXBNlBQbCJNte7owRLBMYttZgsbmjq5TWRTq0JWD4ox8y+o2y/J1Yarr93kPtv/+2/xb/5N//mRz4hWo2rdKfG1iqAofaPh4YoUF/RbqodcHVR7A+VWdu7jGR9tA7zjloDcg1QBZa7DbUK8h5R3clfChQR8cLDOQsXCOsqPPDl4MWtHxRxHYJedy5c6VjQe8O6c5sCs7QWwMKRRBxakBovmbWuz1291w8HOR3onHgG11uhBIFMxgX0lgfW9qcJ6zhK7848wNdKZqbMnbzOZxmcd6t73Ox9V2Zr5XwFrivncUu3wYUb7OLZh4B4LVZHQ9EHpw254YK6AepBVtjRjEe6WG+4yHrDuFXIZtmuNcN7pXqWsN4f6ewvrBmuhsSWmWqFojS+GmgEPMMackBaK/QiEGgbF00RMk3wNhwjbQop4i+/+b/jL775b3+wzCUlpFWRzgE1mzaMyo0SY2sRYL5WscxWtcOiLpa5DZ2hEO53pFSwLBmHKTdgJgZF1oBLnlCqB+CCWgP3D0CGgG0yqeagWW85P3DqRCM4vXD842Z94PYK70XZajBnzr9UhWzltp42gJTRZA/jVNfqqWvcOuQAHV4HelxJuVFk7bAeM7vJanm9FjelznRwp9bNxrDOqRxuzApXGh9rUf3e/B62DO9b3YLrIaAg9Y7Biq9xwJ02Uws06pMmWK/Bvs6lkCHioI0LvTSxObtvZrxBelGlQ1cRiQeF7pQB3C/51H+GBStOPyq2B+LV6rTSUOO/m6yu0Zqhir88/w/4i5d//4N1zoAB7cACBAEKNSXDsElDVNOZDIwaWauerTa/HC2oDcZQCIpwl5FiRZoKYqwIooihIgZFigVRFEUFn9YDhUxyZFsJc3waaJBh7WnQzptoLceozDmUPvgztEBY4AQ0qUo6qDnBntVlIFpZm/87AMfWS1xsbe7ZKK/D+g/mPRdFuOROsTUwZmx302z6sLZ1Sh2EE0FrheZz5H3S/Rzyey0KUa4rMXX/dpVCyu8UTczH/rTReQEkDLQ8rksXWnH6abTemt5P0ltI9QHiZ5EySvErUkkDNBIgq613NhoAocnrstDXd5amJ0BqMJlD9W6BmL2CKkHjuxPnMnWw7K9++9/iL7777344iV7fWOm7xA8TAyUDTiT384zAuzSfwDMY1YBLnRT1UIBUMd1vmOeCnANqFcRYUVVw2Sc8XRfkEkjJtWGiTyPAVMmeTHSUZRdj4Zj/UtjKI67axFrCziwOwHvtrBIKfE0v9j0BKJbZXD6pqQw7oFFNXKbbPql0iNOZGd3pOSOcd87/cQKC4PAt2Tfxav3Ig9BvqgpdElwtWbICk9HMK7VO2J95o85GsHn2NSyC/PaAEVQOW+H3o++9ckjQKUB2A6aABuBQM8X3EQPesFMjpabYy0KC07kNnGttKDuQM5mODAAL+MX8CEE5cg9JtrNY0FSnG7vGwM06B+gxIp9C66teTPxozIZt2qmiYe/+KNZMRp5ad4EA6DLbmVfxt//p3+Evf/3vfrDMJTMgqafKYOfbBflQkT4vPHZLX+chKPYtsYXLNWD5yPrNy08FH/9Zhd5teH/HiO96z9aOd3cb3hyuuO4JL2+MsXKXEWJFfZoQz6GNHdcXOiVYmCSp31LXBxPHLFzZurIcK/RUUFJAWckIWEWaunideB6d/oY15MsH7o06s3dxOQLrZwTjpkc0peWaeJ5Mz4pWeiBsm7O+SVjfcU/r1mMap7jHC7B8FwxgZiQ4f2JrvTqxU0C8AqevuT8+/ekB20NnHdKewepwBUEUp98IDt/MiKvi/FMGe/kotha9tRpVoVt5FIB6ZZCePPMJtNezsQfjqrj7Nb/L26x6T24t6KDl1WI3m6f9gcBnmYH63QLJgsP3gXY4AtsDUI6KfFcRzwF3v2aMdf2CwF9YBfWv7pAE2O9sEO2iDkdAXAPmn8WWfWdMRuX6sjBp5iyLGlnXzGfi/tD9v3CQ+6//9b/Gv/pX/6r9/Pj4iF/+8pdAZJCbnqVPgB9c9l6vg9Clfx7RPEMjElBOinyqiF+smOaMu8OGOWV8drjg3XzBN5d7/N3HtwCAd/dnRFF89f0b1C0AkyIdMrI5+OkMVBOJSRfB8v2wAKwtQFrVqMk9yPQMHLON7ogq4gsNbDlOpMF4kBsCBRQAiIvn5Ir4vFLu/dMze7KejnRKpgR1SXinO3vW1No/oJSOuh9oNFQs0B0CXD9IZNspnFQrUf5A2fkWOAQxJ97uzzIUct3ogKwrkDMdg3nk4LrjU3vwIMLDJgVmdC3g9J59Yde2YB0hAvj7dCW1cvl+Q9gK1s+5+UOWlkkM1/0msKrHCeU0w3ssqme2jIZSjmjN1TVy0/lBREcgYEyUQ5WO1mH+4TMqKdJ/8kf/e/zJ+38JeXpBziv+3df/Z74nBsRNMT2jCQFJFcSLOdLCe3KnehRMa4jtoqgPGZIqprkgporTYcWcCt7MK+6mFVtNWEtCVVMt1Ihcovlygr2Q0uPruT9bN6DpYkbUMsjTE7A8ltvAYK9NzKvRdCcLAn+gMmv/jQL1dXTd0RS9/e890+W/c5qZB5gAUDYGyJOt64GSqRODXA1ClBrgXCnZErrvNwGu+ro9LtApkva8Z2ZrnX7nzncMZDqsmXvGnWPL0OkUm1POjJqQ3WjAFmAOpCjSCug+IKrDOp+MJj89Z8heO2ui1JZpaEPk3ycWfEZBEGGdVzCtAgOQahJSmIYsBqpYD13SmmMU1JeImCugBNZu6hcH+vaf3f9v8CeHfw6UjKwb/m+f/q82Tp3S6WwArdLWGtkwRIrnF2sBdHQxCHRBjKUCc8V8vyGlgs/uLjhOO9acsBs9WlUQQ8X9tCGGim/PdzivM0oJKDmgFMtI27p1tkK0Q91tzPxEJHt0jP3/HWBg3ZPNo9L5jBd04AUBYS8EQEDAxxH4m7kC4Mq+mGydB+CG3WDvIUW3Qs4ZrUba7833g6/BiaUxCnOMp9SoyFyrw96KwRg80oPcij7XRXsmeQyILyuzwffHJvbG86TXOVXL0DeQoGjrE+tlFmLaCk1QcO9Amdcatsy1KmSy2mXp36feGs9op17HPbbtKAfa2PQimJ4UJbM2l2lDQEoiMLpTxEtOpz5HZn/+0dt/iT+9+xfAuiPXDf/um/8Ln3sQWkkXZpVoo236nBqn3ZfwTHZNgAQT7DFH/IufPDawBgDO24QtJ6TAIHfNCY8fTsAaEe52TEtGrQF7CSgqCEsh4+zINVAvBHXjFVg+COKV2aHpubJjxSyIu+DwQVsNKhlL1Wi72vwZ75E7vWTS0yOFv0RZpuLZV6nU36gT++imfec+eV4hlw16d0C+T5CtYvrqkT7BYe4sqyBspbhMbR4ohBRbAD497QysPzyzhdnpAD1asFYUdU7Y3s5sM6lq81O51bTvl3KIyHcR86cM+Xjl2jxMbU94RwiduMbiWlnjP9kk2uSnq0BfGBRdPg+oC4Of6aX7La3kyJSiA8RYBw4sWyAchGBCUYS12LwwS729n5GPwdhmZA/ke5BtZoyZcmAwgmfF4SPL5lT4DARnd/rUy8Sz+JBoL7aMf/TmX+JPPv/fohwn5LLiv/t//J8AsOaxTgrcZciHCYdvKApYPxOkVIyxY2BPrFj3gMNXFJyaP1LV9uM/z/g//st/j8d8wH9+fo9rnpDfXJBLwBf3L/j88IK9RFzeLVAFDscNIsDlmwWHbwLyCdjf2npYvWaddiZegfkj6cPbGwGCsrfsClwnQbrfkNeEfJ4RZrbZaZoRSpbCw99UTOeKwzdXhMuO53/0Bs+/iMgHIH+xQ64R4a8D0qUiHwPKwmeeztyr3uv+5RdsnVeMXUdAxc4f4f2mM31A2k4AVXD8nmfIy88itreK5Xtg/tsP0BRR/ptDK91x/8z7rbN/r+DNf844/uaMl1/e4cM/iVbaxnubni2meVEcPnWlZ9g54ezT1/X/+z1t5/Erxd1XmeJ4bxi0bm8t6PYqpgsBgpYomnsQKxlYvmGMd/iONv/8C8H+tqK8Kbj7/IyXD0eE/zyxDeKJY778asb93yi2t4Knf5JZ723iwGUp0KVg3QNeXhLCNeDuV4H77gJMT8VAMwP67Tza7xjoLh9ZnoF18FF/z/X3DnKXZcGyLD/4vYs8SO1FyI06Jn0Dj8GPZ9scHS4HRb6v0ENBmlhsfr+suJs2vJmuOMYdx7Qjxf5QCiBEOlIhkeYJQym80PqGklLRe5FpXxTuoKr/SwFBz8DEvdPHnH7TCvvdQRKjUzmSXwQSIwNcf23MqgZ0ujPQnaMxAwvgtp1HzzQREY+kBocAxGjPZN/5ikJKAZbav3+4ZJqM+hYaJbTVC8YEJGtN0voNome23Ljb/DcGK9TkwLXx7L02kU4CUd24G9LrQM+r+6ODlfn+RW4yJY5INSTUQRUTDakzUHdmmWIVAxG4DtqnuKjGUBcXESGYIOn4g2wge0CigSWNEvwKUCKlure8cuBHIyCpIkwVh+OGKRa8P11wTDtOacMx7rgUbo5c3SEXpEg0033YWgVlD9BsqptZOlUIaOiSZCBm9DZG2h388b2uatyuOqxxWJAT+roY6ZTizvQPsrj1ds37eANtn7wWkOF3MtupHhT4/IgAId6uj+FzW/a/3fSr4K7UznR4fflrThWNDDh1pD6bE+jgRh88adksqovCshh2jwr8UI1bb+8Pr14D4G2CmvJqQuupOTJg6uRU/B9+lA2S9YXu2WktFUGBIBOo9NDXuQQDc15wQ8l2Y+ootAZTQrTgxLN//EeBqJCpYll2LKng/fGMU9rwvC942WcCOEMtcFWi2iFUlEK2ghp1Teogric9uG1ZAXPk2zM0m9TtzkidJlrtGVJ3FgyQ8TFzGjvQQZ62x6plbuMP13i7z2GNt3pgof0Z3+9roO0Ny3r+2Fode303Jk+9/Zz22c1YwFkTVM+P7bMF/O/4NVIYwPl5DUHr/doo9+o/+9j1QMuzuIDZSGdAKrOGctm5t05G6zJb6mh9W+8B1mJF2xqAKMozxy0KbsfHWSGvbETQgID5B2UIEOmZ20LH00uuPLsBXy+pZ6IgIO1ObD9a39C7ecMSM/2Q4VqmjLtpI3NhKSjg+NYqvQaxBNYgFgEy00rhGhA3tupo4j/i9aS3Tm67L98Hrlr9ah3WiYgrRW8M2BUAMUBQu436wbgGgi6NwcC1qECzkfpq/XdAngdzWKn2LCP4MiXoklAPib5BrkBixrl9jK8b29OkoIa+VlVbNrhPOtsrOpUZRoUG0LKjZfKAF108x7eQ2Y2QmQjRIJCFjBYXb2yld4zL2pnaVLhdtNPWZZ3EOkpY2dJsJR0CANpqHQPQWjJKsOczoFjnCbrMqAfqg4StWLmc+V+YEeJ8Mw0sh6AtDdaztE6CPZt2zqIMLqvg5ZsTZA/W3cE0OTKAueKr9QGb9W+ZYsEyZcQQIKLYSkLRLqIUY0UKFS93Bds7MT9NbQ+/OqbdDAagHljLy5JHQbwK6q+OCFZLqgBCBanEdg6lM4wKTgXiajR977uKQpvrLJARK2z7xvQ1JAPxYvsmMpvc7s0YLnGl31qTtD7HULSeuaTzKsrbO8B8RG/DA6CVMvV1xzPdk2VssQnI81A+abbYRZuCnb+76RfFVZCuijy2YLVzrhyA7U1kOcjUbZwzP5yRsr2Vtv+dycD2lmw/RbE1u7cM+pzXgJdPB4THRJbJpoiXgHyNgKi1YEITldRrQtgCqsdranR0ixG9DKQsofewrsbUCtaJZOllI7/T53l1/cHCU3r0WhIiYMsnRZmFMteJEt2STczCJmJ7Z1z5wMNif1fx9pefIKJIsWKOBf/4zbf4cn5q31NV8OnuwPpEc5AOC6meqoJaWR+wPygFfmbAa8g8bb880iC4wYkrhQ4gaLWurdZ0LQhrbgi5ivDnTUhxM0chnDdojCjvDo0+4wZOtoOtGkOvQ3eem6GOoQezHlw6rXIl5UHnyVohmAOcAuqRIgiyzYZeBmZ7U+T77fOaOuK2Ww2XndZGp9O7I3SeIHtu3+cHlB4nlFNCfGY9MabUaMM0vn7Qciyix8i2AF3Eq9eqcDP7ITt/rN2Iq1qGu68tWU1IYZ6Qv3ygU+lxSxxqFUM3IgBQF1JPoEBdzKotEZICQgrQSlGr1jbEKOIyZtGXCTr2qyyVbaWeTJiguHW24bR6WE2W2ZqB/YFgitc41oUZ3MNxwy/ePOLNfMU/uf8a79MLdo3YNeLDfsJv8BZZA855Rq4Bd3PAFCsu24TrOiHvEXieSB3dbinTHDje1/TiFNr+HN5vuPVszhQV8To+VLQWJ+44Sgid5ul9nT0js2ejnQmA2D4T1do1Ta9MjDtdpUIdVHEHZd0QzAmS2dZ1Czxjm5v2N94PuljGyOuFq/Q2LN6WaM8dxBm/E+iveYZ4nrjOLdPUQDxTjY3W8JyBnWI6c21gcHRuajQVnTps611+4Eiiv7/UVntOSiQP7XIAaVSucliDOQ7u+Dr93DLxJv4lh4VB7nWFamE7rD1DYiR7Ywg2MScs32fcm9100SGnT8XN6ogWwfZmnFc0xkKdADkULMcdP394wsN8xX/z8BXepxf89fVzfL0+4Hlf8PF65BRBEBRIoWJJxZz+RKe/wqiHtq7tezwwcVXVsng9IseQQkhA2Gpr4+EKpWUmODOJrfdKar6KtKxUaxnkEtK1NkEdbL43Ap0jYwPcrCtzvBUUXtMQeqssVSAPawRoc4V5uqkZvglWjkv7Dg2BNnsbbHYQC0YivFUQzxP7nilRCCuFIbi2vzXwgEBeRcgeIFh5T1VMTwXpJaMuEfs9nyVsRm8d6s55vzBmhhpAVBAeL8DX33E9/vS9MaNYduJCJuzNay00lgqkinKN2C8B86MgXgOmiyKdBTHXG/p/KwEyJlMrxTEguAmGAY2q6vTf6cxgZj9KK61i2zDL7ko/1/b7ynYlS4UcCo6nDb+4+4S7tGEKBQGKr9d7fFqPWFLGu/mMrSZsJeK8TVjNhmsO2LZgjjLnfHpkyZXT8lumXO2ehrZ0LpQJsN1STYIwC+oWjOFkPk1WoLJNT30TMT1XHH7zDIhgf3dAScwWhVqM/THMoYD9aw+pM26CoJ5muBiUB5FtHsTW1Mw+zGGvSOedIEi2Lg7HmXTtNwcKfKq2FnbT895AVrIxrOVVCBRFtBrcuBGYauwiY0I0Ma3E2uEG7FbSuOMFKJ8nbPf0T+MTQb+W5MhorX6mFxNmm6YGKHo5BFth0q4zI1qN/l0QrpmB4oHsv3wI2O9YB7q/UeoWvCcFvDwlBjcbzCc1e6aAfFLEtXAvvTmiHiZsbydIUSzfZrYK87ZjIUPWiKD9nHNxJWSxrKlCiuD6NKGeBPhyw/oFkH694M3/M2F/EIpLzbUJA85Twf/wm19imXZ8efeCJWa8P57NTAY87QuerwvqFiFRcZp3PCwr4h8pLl9OuJxn4OPM4zWqMVy6ndTERJd8tmGaCrZpgawBD38R8fn/e8f1fcJ3/wv6VOzRyhY4ZPAolg87VATnn87IR8HlS8H6mVKB+RIRNmH/6QGcazTlwPIItRrZ+YnZzP0hEvgKVDXOd7QFcQfm54rru4iXXzBAPf1GMD1x/U9PfK7nP7vnmszA8j3f10AicJ1FK+Erk2D9fIFG4PC9GsV4RVgzts8WlKOtnxODwfmFturyU8H6nvXB8yePX2DnM5/t+rng+r4H22K+X1xJra4z2/HkOyYk7/+W5W1SBPXK7Pr2vqA+O/itmJ7ZRmt6ipBfR8xP4P1mxeX9AQDric+/IJ15eWB9Rf56xvQYsMYIPWXoGnD4PtD+Dr1wy/tI2yW0XctH7rnHPw3Y3lXEq7VLG8fz91x/cJALuCF29LfXwrbshkXpLWPn8xwcKVVMJiUeQyVSFDKWkLFrRFVBCgVLZH691bEACEFRCltNqPdPdeDO5azFEc1XyLgfXJ4FcJpVthotR8lH1F0HB7WCB3igI9t8Fh/7MYsL3CCOvthu7+fvCU1geJSWHQ5o6bwh8zz+fPMd7lhb1gpl3IBDdvP139mB4T670wFv2ngo3+hN5AHc0DrbvZUhAK5KAABDi4iqDD4swGcmnRvQUXZY5sj/3+e/KRg7wm/MgrY2AEOZh+ceglp5NReqXBfRGrkHz+gOWR6OyyBuEW7vBQGIiev7lDYc4o6HeMXbeMa5LjjXGUvIOMYda03YpKKKNGEeBSgAUIUAg6OChm7CEX8Lqnz/hXHvecA1zpVn+KiC9PvX4Y9lIJVO1I9mJv1yMSmf16A/yADftDAa9mS7XrfEGf5OUZvDcXNfP/b/7Q9fvfd3ZVarQIISqVbLnKLXc7lYHYBOEfbPdyf8d4nKtUwx0NpB/OA9/vwW4HqwF/o/7XbHzKLbvGDoRRAg/557sfsJpSKttdeCJ0GYnA5pa0bQhWcwrPfAuRXLysZQMYeCU9hwCivu44qXuCDXgBSWVl8OAEUFuQTUara8WH1ikbbORxPexMDauv6Rx/GWGqbw26bmhvmgfQ8M8LCMWU5//2hTdcykDcHo+Lm/6xrXiNm/Xm9t8+ZnTTs/Xqchbj9HKtvI/KB9V7VgxGnWw3nGcajd+VPtttbobB58hJ115RBB2HjWtmyi38YArPKPpbMsvF3VMC43IkD+uwC0/uBR25pqzAZx+/bqOcezzcfGv9cBseHyM5i6EdZxIRN08fP8Zk0FoBrAxaJVRUj0WVIomELBXVwRRHFXZlzLhDlkRFEEKJL5NpsQoHamApwdUhnosLbcssnDmm/tEM1Jp49jz1L7vap3RRgYPO4DVVcWtuyr95qNDlT+yHw0FgLAM9uYNtLWPG7GtgXDHvwO2gwIvsfcb0HbR10ER1uLo/EZb/ynAVCBgzYWoFd7VmeiMPL1wUFnHrjd8PEcz9TXQ6Da9ojb/7Zfh/UP2HflCnHkUvp7nO6uUSHJbiJaEJQEtWrrHdwYYD6+gXWpGMf7lY2RWm98N89So7jonj3rLtAtIByokcDMsL03kJ0QY0WIFaqCbYtk2WgAKgFJACiFIoEAIFEhVoO+l9h8+S0V7BPXV0Ww8dUW6OqwHETIAGKXnoh4KYhrRNy4OFqf6NrnSUNnPY3MOWiPS17PqZ9XNRFg00hgQ6xMwTVlIOhspWlgdNh6bBlFP2pbltUBIZuXMWs7SVtzfv+WJG+tqqTUZnM1KWBB62vGnlS2RMoWAMdtsFl2763lk9L8hmHZuI3QqbLPu1EifSwB/IApSIaDtO4d8ULWRImW3MsUyHVxtmYa1M9xYfzm2kyK5quSxQAC5rHHbG2vWpzy2u/5fdcfHOSGpzMO3+2ATCwofiAyuXyqjR4GkNq2fhY6JUkcLaWxenw5YJkzfvLwjGMibfOb7QFrTcjKupV3ywXXPOGyT8gl8J8csZ0nhE8T4iaYnrvIlA8OBYCA6ztSNrw+tEyC+n6igMOnjFCo9iW53lDXGrrfaGyFta1BmDkVQXzZEMZg1sRLXl9sS1KsJlZbGwRNsYshGZKPyYSA1h3Y9pYZk1yRHruCHqbEIKwGBoXnK1oNWAjMDszTbe2hZ65yb5WhR2Z8vJ1FeLwgvNgBYnTm9P0L37tQ7CesEfpMddJ85K5I19KVkmuvjSGdo7RDF+DP4YVoe3lYoDPHclR4hgjieUPY2Pg9LQH5MANfcIOXBXSCohuvYeHZXmoKwrtlZCqM8m1Z9VIh5yt03ZhdTwlStz7GmfVM00tsNDK1NgCt/ljR6oMBorI1autrFu53vL274G7ecEo77tOGU9hwCDvOdcGuEae44U9P3+JcZvylfoG8B7xsM57OC3KOKNdEKX7rZUfxFwbdrC2j0aHIlAsemZK1HfBEq2urqfX2TF6TS6No/+9OlDuUli1tjqyvDeCWuh+7KA8wBLDXlbW108TaceDHnfdG3xx+1wAdd7js5ipFReAZtZHqKUIQJwwq286YmJIFfsWyp7ZfYmB2u9Q2Nq1mtiiwAYBiau2BDBCzOhL/XoWVN1gALK2m85WjV5TZPgQ4i8Lrwcostw6UHxSDc9bHF9A5oGBGuGYEEWguZHEAYA/tCIxqyhIwZrjYqqYimLKtaybUJDdBuDjF05B4iNWcT27TKZK214jNTstJCv7B8h3+aPmAX62fYasJ2YTUigZ8ejni8ngAdoFsgev6KlaHK7133soDMZ0Z6HoZCm+M+z0vJnTzAio4BoHughCdXm72KQBQ1oRxLdkecTVvp/qK7Y86zKPSmVUR1iH6eq1ghmXoRSwxGscWrBvPbIelU2q6CgKzSbam29+6HsNhRqfw294dWDsAeJ6MNef+WbBzZaDhU1Hd1oat/3KaUA4RkhWH73b64NcCb7VVZ7JgDl+fAREKAKW+fmSriGdjIE3G7FhNayEE4Iv30ClZti10auhOe6kBvaUaAFRBfIlYPlAEJ11NT+OSqcI7llo4GHq+8vfrRlszz2Tm1HH91ta7fczsZMvk+pkRdsFU0JSUa7IAaRWUO8Xd3RWnZcPjdkTVgH98/Brv0zMO4UsEKNaa8LQvuJapgfNqSKs4aFUF6Ym0vekFCKs58eU2IHPH3IMcrZ0CHCxIdcqy5Ir5metmf0gm2MWx0yBYf3IC233F5sxOxSi+M89Zryv1dUQBqI0O7f2C+kpVX/YKREE5elsrbQGurAV6SNjfLqT4mu2MLzumb8+oc0K541pmkG7n8hDQqdj3uN3NFWWJ2D5b+FnnbPNaoUUhJcDL09zHKUtEiQHxqjh9XWycOSaHj5UMv50+Sz4GlNl0USxoSueKdMkoS8R+R1ZavPZSFldwp+5DF3JcPhVMZ+6Xq/vAG/dNyAQ7ykGRH8hoO3zLs32/S4gp3JwB6Ww+mwjr9kMAZu53amV0v+X49YrrhzvsdxF1Bp7+jM97+DpCJeL6Rzvimw35vuL884hiqvh1jajbBCkCvcuYTztyjvjq6R4pVHx2umCJGXuJuOaE07Lhs19csJaI7z7e49s98vlyQLjf8cUffUIuAY+PR2Z8XyLFasG1LRkonyaUlCCHgviw4/zzhG//xRFhV9z/DQdge8ss5X5HBkjIwPUztg5aHivmZzLIPBPoCYnlI7O++WBlZDOZDWUBLj+hvVm+DZie+d53/3NGPgU8/jJaTTE7vkgNiGtEnYDlO37H9KRN7bwkQBfB9hYt8BVlNnf5VLG+Cbi+t3lcpOkbTGdFtj6yeRFc/pcnAMDySTG91FYiAgWqnWHv/yPXwcd/nPD05xnhGnD8bTCle1sADsBIF/Sr1ht5/sh64v1egBBbqWk5CC4/U2yfF8zfRHz2/6LPkQ8c8/lJmXHeyIzYHyK+/l9PqEv/vukFSN8I1rcR13cTQmJP38zHQjkT6NvfVNSL4P7vFMvHgvOXqVHcy8Igvhw4TtMLkP6aGeX9KKg/5jf+yPWHZ3K3HfFakC6RlJkjF2y6+qbnpCDwoADQkA9vkAyFtUipmEJBkoKdkoDMaNWIJBXH2Fu6FGUtSy0B2ALimdL4nq5virep/9MRGzoqNQlKEqQxg7u/UpUF4HSuVjdaces4APw7p9x6kBotQHyVFZWirW/oTe2iB7gmWqJ1CC72zIDMHfjd2r1MidS1lhGqwO5OxmxtQ2YG4xb0KirrcIzSpkYHHcV3NKAJ9DSlT62d0qxKReZaga1ADom99qoiXAuCI7cAVNkXzil4jgRrDBy360aHLxyayELrs2pBi/cjjiFDSkDcTQlE0Cmcjhj9WCbS59jUCFt9EwSQiFYnVwtUreVGLTd/H7LRrz22irjJLvQJ9nkGAgQ5KnRmW6DjtGOJua3zSTImQ2WKBkxS8BCvmKQg2Rc5mFP3wOL9QW3WqceO/LvjFor2VjZ1oBKKO07aD0qbC0387F7zZBZ6qEG/aZniKuA+5i2wtGCx9kDa/16z0WUlQF5nZv1nF3/6sXl0x+p3ZWlf/407SF4XGbpT4wCVlDoEsv0eRKUF4GrjrdXqn6oiXor1ArUyCG+VMn69WlDkgMGYresQZ6sL7tmPPoe9Vg49+6TD79H/v8aAkEDV90Il2h8dw991KVHkUNjmrdVlFmst4Gvd0Ff/6pbJtQO0lYSq3GRr38UzJik41xmHuGMD7XtRsA3FJZKKvEurvQrFanaclm8ta7w3q1OT1fdjNKDJsurB+yN7bSfQs+sA18CPrSn/2deECMXIhudxKjKGQK9B6UOLoZv2RjefbevSexnXCiC2bLuU2m39PHUY3ssJvI+178lau36CzVf7zgA7A4b53jNtm4G5dY7QQMXLdClmzzOkFNTTDF0iZCsIz2sTc6sAPCsnpbcia4Jtdt4hBGCZCRyZQqyXArhuRwNufAytFixe0doWNRVsu3c+WwCCiS64jckZrsjOfTyCOWggTsuA2tqh+qqBgUWbvfUaXFmtTjwojvOOKVRsNSJrwCmseB+f8U18wF1aUbPg43akYKAHuL5pALPHLJ0K65h50ltHFf39ejOvMIYR38x+x6T/x7Vwqd6nBvB5dop9X+lQsw7a7aPVgwqD7XFPyF4oXjZP0DcHa2djr9k9a6WTr2KlDa5lUAoUCWWxjgYb6yjTY4E8viCcDq3WtLHfgmud2O8Urfdy2AvXwIGfSf0OYWlDVQQ1+2WgE3VJfI5ZehIutZcxqHWAyIMtC0IPWft8hJ2JEBVBWAy432+zp20fDi3I4rWwtGiPHaiofS3QV1XoUqjEbJkq1g2HBjaErJCtf59GgSAY08y+s3S/JZ53xCszb+WoyA8F4RKwfM81vWY735Ii3xPEAUAg/UrgJc+sva1VSLWPFeWwApGsylIFp6ngF3ef8Lgf8NXXb1lOtXNf15Pgp/dPFKdaJ+oPXcaUKGjrrwE6KeSYkVLB+lBw/SJhehScvi4IWZFPkX68lfLUyqAsrsDhgyKdmfkNO9raDJuDY5W9f8E1XhaWAJWHCp0qyjNVk+OmOPzmGfv7I/RPI8sfD4p6LCgHaeJ06cK5a2rz6nNGQIxgTgel00Wx3/G+NShEBcHjI186ga+vn1l50Mrg7rXNAAhgxKcrnv74PdKbDTlOFgvY2xyL9fUc+b11se+v7M1MAbAOJNWJ4n/T2xX47oS7rwo0As8/J3iwPDIpGNdKzZzlgPULoNxVpI8R6UpgYX5kaehltxr5oA0EUhOUrAcyM0MB4pWMgrJ4vOYsIb4+PRHYdmB91Eb9fdcfXpNrB3BNNBzLJ2Ckn+yGluz3JmEdwfYSo591qHi4uyLFik/rAZc44ZR2JBPiuZapCfMUFewlYN8TKcpKI8iWFVbTYFQGL5QGAFeJDIXOowbeb1NZXtmvjW+WXqMYeiALq0fUKQLpcOOsqGVDJDPoG2ltXh+oE9H8ekjAnBhwXdjTVg8TX/d6vYGO1VqcAK0/rouQNHqcO20pQd695c+G0qvXA488hTFgtmycRlaly0rnaswctPfcHVuA6LVh8NpFE5Yqx4RyTIjXzMztQE12mjLHutiz83vCXqGmXC17ptDCcW4OZqMgmYPNOhbB9CRNIMQV+8IGAzwsm7nX2wx9tubqNhbtStbPTSnU067o6DSD2+LF7xZs6OTUl57NzQfLLs/asmBbiY3qkzXi+3yPq074dn/AYz5gCRkVgqdywLfXOzxtC7bM1ILmwCbsWRBWr8UdqCRyG2z7/ZXFnBE/pNsb1P5MaD9/zGgM67GBKtEYCP47Hz+vjS1izIIO4ngtuKQI1QRZZjrtnjUbM68j3VEswHDV3zEAdqbEGDyMdNJhnyAaU2I3dXFVqOwd3IixB9BjAJpJ5Qzj95g4Flte9TUSaqVwzDi+ri5twAIKeulEq60156T6fuQ8eV/GsAvSFahPgYJ6lmlKZ0F64eHp2Unfc64wOvZdRUqQBGgtAPYe7I6Cbpcr4kYmBpJYTa45mNXEK6ydiljQ3gSqkmXgIgNdVcHLNqOq4NfrO+wa8RCvuI9X7DXhIa24SMV1PWEvkX1jJ1svFth6+5RW6+tBifAg9PlzB97bzci5cr2vxjyAgziKeGaG0tV/NZjydiGCoLVTMdk6LQOHGeW08LvLbplU6fPndbrjNfaaDqGvlRDYqxl2D6UQ8AG6PU8RADUUbgDMpoZbDbA0NkIMfe2XwmBymW/2jAu7KaxXdBS2rQOsftbAm2tFcMVdVSrUTjwvxESAdEktKPLxd9taX6nXq31P06RI/LwaA8KqmHMFJLDmbhVMn1gPrNYnMl67MEnrUxoDtSTcNu0Z8um5j31KzJ67jXu5QOraXzewK27cT9e3sQmxQEzBNAD7Ccyu+bmTHURRAsgAFddNRfk/Xn6Ov9ve47ksuJQZRQWHuJPCmSOu24T9MkGvEU43RCbjB5MgAwjJnGNrBzQ/aw98tdt4UaAc2FYvveRGJW/sufupUZJFSQXURZDOFYdvVkAE0x1VxOfHnZ0T7iaUIzUYdAosbzB/DkWBy7VTxaO2FmtBO7vHSzeacnPRdkaEjcBovBh7JgTowwl1maBzuKH7tzMboGZKO1NoU1uNu1E8bTIaUA909k640m8qp9TGqI2j/a0UhWGMbXyd/TQqiNel7xUVQT5ZfbqVrZRDAt7ddXugLorUA5daOgXcz+/0HCCfAqYnwXRmKxW2kNHeji67ejYaA6gFtw6EDQKt6+cHlFn6uhFAJ8X+wGfToFSxD8xU6qSsxxVAd/bLhYCaN0ERrBTl0+WAl23G++MZf/zwEdc84TfnN3jZZvopCrbB2oDynPA3H99BVVAy171GRZ2M2pqBWNBF1V4OKALIseL6xxu2p4SwR4SsuH7OYH3+KFi+18Z4gAAvP4vGVALmT3ozh/tJsJ8itreC/cTANJ35t8tXEQgRh28ZSElVXH92h+v7hMtPCAyICiQHxItgeWSCbLs3W2GdIoqpsLOdEdeY18amVTE/7dgeQqNT+71vbwX7XWpJP6m8fykEcuss7In93liqH2nuzz9bEL6cub7/8ojjKpg/0U7sd72dpn9PfOF9VusKUCfg/DPuy+nR5tl0bqZHQbmesHxgJlUFJmBKXSW8td7vZcJ+Ehy/CihTaOdzXGlb0wswfTOhpoR0IZO2KAAN9IsfduQp4vzlhBqn1tubpTK0+8tH6uAAaFolZRGUH0uC/Mj1h2dyc2aQOVF5LJ0Z9JYDqXv7iUXb+QSUExd2uS9EMC/WY/eQ8cX9C9ac8OlyQIoFPz8JlpDxCZTfP8Qdx7BhD2ypUrLVbimAqCjHykbhUaCO0HpWyxrWp4saYiatX246FwptXHND5T2bqq5S6AecoWV1oYqb7CZOBbQgUrZMafxBAdGDTdRDb5tgIlXJA+c5oSyRBmwdEGrVRkmTdSPNeUqoy3yLyANwem99ONLBe3qxpuqWXfbPrOgZAA/AAx0P7KCDY/dUjxPH5rIBKRLNF7QDTSNpRY0KGmj0qeKmNj4mZuHBbrFsuYtZmVMke6HRXne+thjNbFzLLhCWKRgimS1EoKa+NnXkrKH+LnhhTq1niuViTo/1o0QQqk2XwozjSG+bU6NLaQh0gtzRV36vB7h1olhBuaNaIBIdAlXguidMXs+igg/5hE/liKd8wON+wDHuCKJ4ygd8Wg94uhyw72whRPGIcOP8j1evL3fghT9T/Ta0fmuqHWGmNCSdIAWGQA49MBuCXI2R2SwX4vEAtlarl2E05GJkKLXR8P0QFhtzPcwEG/Yh4+KZ3FIIOHgvYwtCZd0ZqMYhcPYgufa51VoZOCSjGztVP5eW6RL7vibs5o89BLmtl20FQu2OBlRbv13EQAQ1A6K5fwbQMnVtfwItoEEeAJfSRYbciaSQSTDBK4pbqCHQDuZML7YPSt9v4dIZL432CvSA/zpsqCCQYYPp9Uq7ViqKDOvcwRwT42kKjY4pGLqqttZZwyw4bxNKDfjtlaUn7+cXFAgD3umKIIpvrvfYa0AIyl6JGhpAE6+03/mOZSfe0xFAUyB1VDyuTmM06qIDEbm2oDJkKvzeCH9NpHErPHtPO0bmSQHWDVgoRsYMvttzWGZXOzukUSvFmAraQYQ6zIPNO3ZSLNv+8M+w/uv+uVArW6mW2bVAlhRd+8wA4Gp2OUXU09KBVG8FZ+wEZsZCa1PkQS4UiBcrMTCmhlP2JdeuymtUZM+0ISvCztYPLooY/GyLsT9b9Gwh5zhdWb5S5wn7HTMy06PV180CjR2c7n157dxZItyUhT2jfnrk/79900HgIJDLivr4hFqGEh+xM2RTbPeB6qLoAUed6Uxt7yv0pyvqGhE/JkgWlIU23R1+EUWSgqqCv37+HABwSDtmK2o+xIxcI/YSacuvEfGZwKMLE9KH0mavvd4tZArNhE1b9MUaPv5QDgRPpmcQgIiVeEcK2O9S+w4/o/LC7E365glSKuLpQLDDM+MpYJOZZILIqlKpIP23VtoH20fF1mhNQnVgVQikBca+97gGeL9xd/DJ1n0KKNOCOkeUKdwAbi7ixImRm7OJLUZie1/PWgmkGsCn9rPSvyNrR9v8c49rozTXQsCi1Zc7a0SZFWdwJiiL9cctAKJiu2N2dn6ugAo0JtQlwgVMpSrKIthP1s7oAsgMtmAMgGvHpCfB/EjQMl0swM0McMNWzJexkquWLcZN+UM9LahDJnf9bEIdBZdFoROwP9Q2DnVnkFsPFUgVceHfF7ctVv6lCkRTFz1f+aF/9PAJ/6uHX+E/nX+Cv/rwHtd1AvZggDoBqvQc8fT9HcRqfzlpyiDnIi0Rlewcml6AsCke/1zw5R99wIenE87rPWQH8l2Fzor5Q8Txe9cSUORDwMc/D9jeKO5+LTj9trb67joJru+ZbFs/Y8Z6/hCwfKRtSWYWlo8UkSyz4PJFwvXzgPLTFctpw/rhgHCJSFdg+VRMCIrAqSaghm4zkgl8AcD63gSrVkV83BC/mC1BNAS5D2g0cVGW5hy/UUwXtuhj+0CKacXV+pYHwfqmsxLe/IWBMZkJPLaj8s3CWGd+pO9PtXjB+hmwvldmyn9LsO/yU9q3+ZPg9Mw1mBe73wyEysC9LL0OOhTg9Bs+735PgNCZN9MLcPg63Pjl7tDnSXG8X7EvEdcvJouNAK+5jlYSdfieWfjtnuJb7muPMkK/7/rDg1wlmlcmaTRABrd0kPZ7MRUvTpirKgM2ydYO5WllxmrdEkoKeM4LlpixlQiX5S8IjfqmKkTDigBbQFgDs1sufy12SJoTpNnrF/vhFrauCqnTQDVsmVRAoDeiSd7UHDvRNEcTPXjUGIEF/VBXHlwurITBUR7rGmXdkXbLOriCrdeFecbUnfahH2l7L9AyW001OARgMie7IZ38x2sCxe8daH081TNs46GQogX9gLcFGC+pyrqbIGT4RDZgZ8ue3gJA3DDzwejQRZ9TMOMSjcpq4yKmTNqQPvE6vYHSBXS02+Y5bk6LFugSUQMQrrlTxcdelSPlD/aMgwiN16T5xvaifjWkLptRKaaCW5M2JUEogCIoe8T5Sq7Ld+sdDnFHrpG1LTVSmVMqKUAqiCbEBk1Qay1RkyLobRa5bUWPp8QO96ZY4ojnsO48SyMDmGOIvatZwhHxMejzTGoLesNA8VXb1MO4eYDbJil0ERjta+smEyXS32OOeWuFEATiwZo/t7cyAiyotrrGoedry6r6973O2I6ZZIxBKuuuYMq8rf9otfd6jaM/4ivgoe3PMagae3m+uoeWucgVQUKX7VcTJHFnLjiF02iB1vKiCYCNNdMjPVkVkMD+woABAr1GVw4H1DkxkxZMyMWEMchO8FoZH3vra2pUKKoh0y5r4BoWUXxYT1QLN/o0axUPuJQJa07YckLOEdjDTVuBsT+pq5rmozQV5bElgzs1Xm/Lde7jZXZALTBGH/cb1cs2EASLdEq0RYF9dMmWCW0eGpPH14Dvkx+b93H+DVQDWA/c67VNuGwvkH38G4I3TSFchrUYegZMYmxsFNcegO/R8X2edZ0JHo0iQY3G7TWRMLs6PoutW9Y/ym1Zgo+d8IQZ1asdUAlb6TXK9vl0dhX1Kq1GWiMD32i1uE6LFQdrfd+FYU37GAcz1CKQlCChvy5baSJA7sBRWIr/LVa3p8GCgCrMPEU0BkZZI75/vMNh2TGHghgqiimVB6kIg3EOUnGcOaEvl4TqWY8CyFjiYOsYYudJEeRDQAzuBFuGZ6s3c6YCUuYNQCBAVOB1ugz4tZ0ZeneAjmtnFmDmfYWmIYB+vkTWf4b7e+hhRp1cO0QbwNbF0wabBhAsT7cBLM9ppThN9JaCfCbSdQe7HEzpG2hsO01Wsxssu6+23hyUidr3UhSUB567DE5t7U8mardVODW9lYGor0l+dti4n73ViyZp5RFx4+fFtTIYNhvMWtPaNBai6yxcBDX7nPQ5T1cLcK9DgOsq08kAM+H5rENbNUwJ6uVor658IIMyH7RpJQBofVg9gIWgtXqZJtqYeihkE80FIdbhmDKhVwAvecZ3+x1eMtWyRRThbkedI+ou/CdpU2oWASntVSArx3B7p2xvdMENG2f6FPDbX30GbAHLxn0SzLUlo06AxDnIC31S70MbNwIL61uWyrGvMaxjQTVlbPqM6VkHbQdFmQPWt+zvq2vAhhmSQz9LDKzzzPz0zIBuPwnKiYCrt+qJFy+PBOoxmV/MczU98z7z0YCtrWtPrG8D9jsvz+AaSS9y04aVCuIGJmx+Dtmaen2NpjsDsTBgdnLL/uDreVz//J7V9C1af1+L4/wsKQFkooABuVOO1zeh+cMqwPKBtPFrYEwom+D8zR2kCA4WszlNn2c57227F+QD66D//xGc8uu/QJBbUZZgBcV0ysoiOH/JB1w/V5RT7Q55BOls7g9nQM8J3328J51hC9ii/n95+9MeWZLlShA8oouZu0fEXXInH8muYnOmehpTmEFjvs3/nw8DTAMNdKFrL/KRfOTLzLvF4u5mpqoyH46IqnlkPpLAK7QBkTdvXF/MdBEVkXPkCH483GMpyZQLubrWlrC0NErU1kDJ9KsgPQc2eH6isSonQZk9WzIWR1yB048V+cmovHYANBdLWClcsA82xaTydUrQTMpWuBboHFFPE6CkCQLKBt2SrdaDSsGyZGZBTfpelo3ZdaAfBuH5AmwbHRQTnPJarF8EuCLo7V6uKx3VnKDHmdn+T4883N7c90Cuo24wyphn4mMblJeXK9HahwMdg63y80RGkGmOz42KLOi0OIKk3pvOAovX/VD7FQNgdWCAHdZREbdMumupkE/PRHPf33cEvMWAuDQcP3KTlwPHMF154DoFHaCTVA8BKhmhJuStIlyJSuvpwFrIy0JGgpKiLIbCyA4qVxd/sR52LdIJWt9YkfyBGdJyVOjJHVE7QKoAFWgvGddrwnrgWptSxZtp6W0m3iRanKVllBZxzKTnn88zdDE646yo0QL6Ys5+s3VsPp2r8Dk9PNjB0fs+W0bYA1V3IBxtl2WIFfU16sj/umG0JonW6zCP+ayNyOyeprwL5Jx+6WJfECGtUpXf6WraVtMLqwGXKdMhS5EI8Kt6do1CdN5P4h0yK03ZMseFtg5WVNNhSL2tLzaBnk5r8yCAw0umBWBlBP464R53z8OXznnlHkpxCNF5QDNlE99xO9OAy9r7a7emiNeIfBGjx6vRlM0pOlOwIq6NYm9dVE0HOi4ykgyGeEsM0HkGWoVerlAdQiXy9gH1fmLtk4teCbpgx/pWUa3eCIJOORJR6HOGrKz5V0RoUhzMsf/HLw8oJeLL2wO+nA5oGlCUypwva8ayZdRLQjibPT/bAXpg3sDLD+gU8f/nBmADoIJgVEanDDri6OtXU0CbTQjJkh+a6Si7vf8FXT8G6HHi/qiK8Lx2Z19jIsNlq3S4593J2wDRwRj4Rd26772coAcKCd6URqjSrq8bX+Otg3ZCSj2Q9bV1yNBoe8Nr6o19o5PpNuzWu6wFOiVsb9iqi9RShZSCsBRojr392r7uvAfVFuCEi+k2uLCW11G6C96sNGVZmSyIAVKCobGCZi1Wwsq13CLntkUywFoihfDwmUJR8VoN3WrYt2bSnBBOR/RyBtvrYuMu8zSSXADCyxUaHV3j2dEyusPJNi/KIOASudaPjb5HsZrcx4z6MePxnp0hvEOEJ+XD7s8gij95eERpAf9li1iL9OT8r9XXtwTAHPPrOzGxQwYD+aUhvZAN1+v5DGFsU0SbAuJSkT8tts6JxMdrNAE5wfX7U2c8hNJQTsYk2xrSSxnrFRbQiaDcT4j5K7QUUE6kyYfNkMXVmFJxnOf+/nKXsT2wF2661EFtLw3e0zdsDXLeoDlimech/mVIXDvEbotoF5KxBxvieTP6ekATJrRh75WtoU0Ry/cZECBeGuK1sS3LMVgLKfqjTBxg0IPrsCMjaTXxXoRtXaQB+amw9O1l4340G4AAaIy9BMB93rgS/d5O9OOatV6bvigOX5oxIuuNf9WSQA8RcamWhGgEZYKiHia0KVIzxBiJfi3vBMtXivp+A0pgKVFQ6F2hCnsJQBVIbghTRUoV7+7PZJPlgm1LVFkOVFmuNbC3c6Hmw4eXE/5L+haflyNqDYix4d3XTxBR/GN7D9ky2qFhmtlDujVBk4BwDchPAdvbhvabBe054+E/JaQXNQFNxcPfAHd/n60dI32u1Ix+X3d79c6CygrkZ7FWQBXP9xmPfwlA2NpHKlgDelfQHrme8kXx8F+eEM4rtq/vsD2QUfLyZ0zYpC/GdBHAkS62ICW7CAoc/qZi/nnF5ZsT1q8rWorW7kxx/NC6dsTy1YwyS2cn3f2+Il0alq8y6h1b4xx/YnD+8heKOinmD4E9aK+Ku9/RHpSToEagzbST+YUsgpYF672MHrMerNq6A3z9aU8Yh8okyMtv+EK2sJKePF4fBNfvGODe/5aJ9XIkUuxJupZZjqqBvknYSMG+fg0T+GLS4qv/0HD63RUf/+cTrl8D02PA4b8yeeDP0hKgHrhfeY/nH5j0ZGkWOsj0L73++CB333vO+dJZhuR29gwSMzFqMuPQ28wBUdkAFBbRL1vCS5i6UE9pAc9lwrlk0pTBB9V4276mJcvmpRHx79G+7oSag39zGW3F/7+jrErqXX9k/x1gwab033e7tP/ssPtiy0B3sRt/nVMy9whXGNnPm7Ykfq+9H2YDMgYNDUAXsfFgoTFQl8oCt70i5q+hWV2oBWHUJ4vTWkeA28feHX1HzF63Q9lTJvtcOEKHm0XbhWDcQdyPZWO20LPZ0qxflqAjuI7mMrOrfaNbqtHqj0P//3/RFXbZO8v2ew9mzZ5ZU2hukGzBlNdY7nvqVkErAcvGdRxFUTRgCgUzix5QNGCp6VaNUzlOKsyGkkqmbHdRAW2GQljAu6/b2mfmXIRjfw2UfWSOb5BVC/L2u6Wv3X3GPgQy+71O+DVSCaBTHPub1L5r/LsjxMzC3wpU/OLyffw6ieKf8wsUcxd07IOaLkwVbgPnPkY6ath/5R5k9zoA0F+zwq/tzW589uwMGBWNmWtSlgGgrYMe5IdVXNpALm8cZR1Ucb9vo+A60q17YTV/m7WpaJmOWEs80L33OHuZWtIvKJB0ZP77mmPJSCuCZeMRs20RrUasJWFtiYrKLVCwp0bWhXk7lT4+PD94s9KD3N6iS/wk95vHQHD3Cbbdv3Ec7PWBdsOBjF+bK7U15L3Pte7OkJv58s/8J/7tD/T16/YO6Ha6o8D7n919/eJqgPhBt9dR2O31faLm9Tru+2SPoNlrvJ3FH/z+RjurniT7le+8/TLtDA2YzXGauZ8FEoUiT01M2GWoaPczpvqZ9vpstHHoCeFxJu7vq4uUWUzezJ63TKRL59afDwIm5wEyFQIZNVIFqILrmq0tVoOI4qW3z1AcInUWiqmN90sAF5iEIT8aFZ5cg5CJ1Cauc7bTerXefXkHTzC8mts9wF4aAgL9tCmgJWIOnY03cfEm06rQLP2M1gAgMiHq/aa9Trnvs3bjDvLfe92pwunDiBhtf16jj4aAqr7a2kJmkrNLXBjKRRNdc8LPe/dRbsbnD2ydzvgQ0McpngS+/f79Whrnq7OftCfKPKmvCH1fhErGg26KuJLZ15mNjf6V90WGPR+a+VM+Fq/FptKY387A+JXzKVSgbqGvVetgxcuUnYffCOTQEEQxpwoBUBuFLwF0in7KFS0JYlBca8LWAm04gLVEMg+ioh14Rnjih+3hzO4mxgYxKNreX9z5LsF8Gx/vUGA9xg2V3W8nm0MNQLX13X0fZ0QVoBVjUZiPr1bKVE8J5Y7v8/ZpUsZ6I7PR6kFnBt2iVPJPB1LW++vtPtgaSNjsRGgb02WPyNo+svtx+jVBMtqh0oxxcGbM4bGVo9MaCGJ4WaWPQTOb0jUtkrnxV7en1grzgNFLvaGLr3XE1gSjWhZU8zWC+SIjGQV4C6PedWGmPdM84id29TCQZiMCTgYsISWNnO8xP/Zn5b/V2dbFBuie6fRPXH90kCsmsS6Fg3h9H9AmQT0CdTLe/dTM8ACSGw4nIgdXAMVk1NslcVMXHiCPj0e85AnvHi746njGy3bC3z6+J6X5mqFVkI4F4b5hzRPqlilw9ZaD7kqN6cUyJ9amIBRmBst97kbDs3CsK9w5SF7b0JTCByX0zKNOpFPK1rqhh1JZuGe7060Bl6IjULxR7Ayob96i5Yj4siA8XVhT9f7IQ3ypvJcw6rRkWdGVN2uFtEzDlRPw7oFGOScTSACfbSnQyxUSAsL9qSNm6vW6+2C3AW0eqoyk8zBTCGDUcNlBU6NAcui0ZXEkzxE2E2bp73PjrKxx29OWuTIjhacS6x1V7JC+MFMZjxnlxOzs/IlzXo8mHa/MfEpVpBfWssRrYbuPFFC/fhh1uo0CW1IT73OvUrqfu5ywvsm4vKdACg0dTJEQaCeK5shckWaOUWsB2kir3yu76hJxfp4RouJ8nRBjw+PhgE+Ha3f+txbwskxUVS67YMsOiPKGazNcA41VAdUbrZXQoFPa2t+Jb1FVm+tVVmbypQ1V1HakCECnLdua0EZERPdoVGUG3+sIm0QEc641hltqMAdlDKofyHvhKWAEfjlRSAOAt7WikEn75We9fq/vL/9+a310c7nDYkgXfwcgBIqHAFTx9LHyjL6pprNdiw5nev9MYqfvlPkchiaigUitqlHuhCJ0r8ZHrJVZBpGFFgXTbOI/th/Ttfaarx5c+DO7MFipQNvgrcRg+9EDX4kFsmt4K7WiHCOpRrNljWdgeacsObmvkLlCIp2TEElva02wTUS6ZGPteFsmfLokJrwSk5triT2Bcy0JpUZcrpmCJFUM2VAevAFkAQV+JtsWCevRfVkK7XyoQFh3dnyrHU2BCFsqba+Q7WZFG/vkjq0f7wjAMWkDbbe/e0SvKZg9XuD1q/57hADZChXpQ4DG6XYv3CRCw7A7fgZ5wsXX+/FgiU0d69eSQOGZLX30MEEP+UZ9WNYCsX2tOfKcsPKLdC5WwxVR5zgQW7PLaCDzpTboaaZooo+dwkQYLVB1xdvzxnk8ZDqQKUCUyp8e3MhKGxl9DFu22nNzEKNguyebIJ8b8nPtCYzeBWHd+rmIdRtaCpu150tvoKcMuSrbge32f/36HuUUzFm0GrbEViEtK+S7K97fX3C+TlgvPGeCU/Ii6aLN7lOqYPnxhGtUyKkgpoYv7QRtgjQVvHu4QFVGG7hzgpQADSZqY+JTI8gFwiKIF4IF61sYa0cRN55tvZNBHeJHLQvComR1NEU70Ha2zCAwrA3hTCop/Qib49JQfjjh/G3E4YsgPVGUjmI40utbQ6Vq8T7LQ7XhfXG+9jpyZ8fFa0H+fEU9ZqzvJ0CAeiAzyG0YE8a536cUQW8/KJ6M4hmj9kxt5l5umWsnXgpkU7xOzobayOzynJg55XEx3YOF7JemEWL+VVhLD3x6MG3z7Uw61ocD3ms4WIuxzibwq4HfUZUaC2sgXb2airKtK/Y4pX9aDwnSgOkz7Va82jkbA9qcgBmkpQPIn66In17gbL99Ymv+opj+Gmg5odwB6xuWvRRhXXH+HBEvgu1tQw3sbT6ngjnyp0HwNz9+hfLTAXpX8c33j7ibVvxw94hj3PBhucPjcsDzdcZ6nqBFsP504jn3dsP8Z8+GAFN0Sr9MQBHofUH5ukJLQHnKCJdo5V4mkhYF2xvB8g6W7GGSZ/5ESnedBOsbJsDmzwwKt3vul+UrwfIVx+/u75kMPnysiJsibAnXJWP6JFRbToJP//M9WgIu3wrKvWL+IHj/7xvb+F289IVr++WHjC//OljAxb366X8KkDpDKnD3W7bioSic4PoN7+n4e6K6+aw4/McNdQ54+rNopZzA9DnQb7NANT/Rl1vfKvT7gvwhQZSfdfmWrJN2oubL9Dlh+rKhHiLWO9a/ljtgu1eks0DOgE7A9SiIGzVs8pm2MG70lRYLzqcnqry3Gbh+zX2XnwKgwPKe/ufD3zYcfy54+SHh+c84Bw9/w3KSdCb74fxdxvkHQRGhcrUAy0NA/uqAuCpbHVnyQgK1RaCj3jdsg5l5+pHr+fFfB7z8WcPh54CH3za066/4f79y/fFIrlOjPLOSyX932FlNhMRTaiE15EQHfZ0qAdMt0MhXEzAIQFsitAmWQ0I90CF6Os9oNaAWDnqYKuZ5w7aknomoRxozvbCuy50gX3guPCXNAw/t1BnZGSdxhHTviKj2rJs7K/v6xu6kWLsEseG9qfl6nZE3BKnNCfUQbxwxna0H71aBTcf3wh0t/ugOSaIzG379e0sFloUUmm2yoFh2EIx05xcww+4Z16qWee+wBD9WYM6g1bxV5f02jMC1ogfR6iidp2srOPYBUMSBhIhTDIeqMQMLChVJCggbD0q2usEoXOftWMbHgrqVIhjtkNDmNJQbfawB7NuK3MyV3U+bLIPnLAWrU2RfxwaZGkJuSInUHoC9TzsJwLKKEEDXgGpZ/Bpiz5CqCmozlGs1BfFXbWkQAGQuZne2etBSR83wGDcMB3GX3fZndCEwWUj7wt1s9CcPvGDOJEYtt6Mp/hmAIeoWZDrSG3ZrsWEg9Ho7zrJ33P0yxe8usgG9cab6/79+7x4hdUG4XWvYm8tfs0tIdbQCYC2/trHObpyXnTPzCrGSoIaAhB1yGDhnMJR6hxZ2598Eu2iLBLJUBBE6X5apdlRR1pF08vKF/nnBkPdG5178WR0hb6TlU4Do9t7ptPGwKQceePVEwQ+ZK2JuiKkipWaPxWiSz6xACwx0K7h+I6DHCkUgKtBIU14LUdye3Qd6Xbkr2OqkFG2LRhHtrJndWDva0YYd77VsthFcC6Crwfsj/wH0owuGOY35NToWbtcvjCHT27wZ8kU6tf7BddIvR9lb++VecHaA1dZKqYPq70lIr9U9TLbmdCC2O0T/BrFV9KQNS1FYzxmMDuht21wcS3WCt3IJfk9GTfb6X/EWRnvGjt2PKyuj2r3Z2SugYuyefeIBRahCtef1NjnWWUyqgLQhPgdAvXVTkJEoAHaZP6DNsdNENRkq4qKBs+J02PD+xODUUSyfOYn8i0a2zJEiCGc+Y40RtUn3abYquMwFqoL1ku33xlxJ4NoOSmRO0YXbWotG11MKrgUZqJVw3AUAikJggVEWtrgr9BWcZuxaGgGesNkl35sleq38pqXB1nL0hu+7ZcyN92uvt+a97ZEsq8t/2SAvV4Qo0DATgXSEa1ME1G6znKLsbLmbgd//f6Cdc3SqcSg7oirVkoje29pV7jHMnbMHRhIT1rbR3p/HWdCS7TWzNZ2Bhp3NCl7vH24ow35WBrSuVSeKoRlTpd8PlLavTiYsKXZ2bxXhWtAOTDwQ4Q/9812QtNt3u+KqCE/0Fa4IpPiK0s+GCUNdgHpiIKq9plyRI8XUWguI54AyUSPkkDb85vAZX+cXXOpv8NP5DqUGtoXZAuIzA5j6TvHmdMVlzbiUCWp9z6UK6ruG0/2C88uMdonoDDQTWgpQlANQ7gkiBRM2CxtBq2YthEIxNFBIo5VIAdJ6II338JnB1/RYETZFfonYztLFGlsipbsegPU9k07Tl8SgeKlcuzuNkuvX71DuceNnrifun8PPAfmznfvGat0eFHVW5KcA/SwI14bpy4btPqGcIta3pAjHq9BHcfO8cS9tqSHeF9SXOGKrmTZKDxVhqtCUbM2Gjn62xKS0LrxJDXxfZ4koOpos1v6I/d05nvUoaDPXSVh5X+WkxiADpo9XXN/fsWPBSrp0fqksf1grtocIqdFo0QqJFhvOVo98MZ+doRyiicTSbzTBYFeXf6qW1A4W2AeWl1z+zwpyp4xtp04IRe8T1eYGpAYERUgNMTaoAufzTG7+c4YsAXHzRQyD1unoa1Y8bgHPzwdoCWwu3VzJD1iXiDVnYB19xYjEKNqxQS3T58Xe0xcOXEtibTlY+6BidRxFep9cnRL0bu61tX6wAG4cG1A8C4hbUY59v0+hE9CdbhEAlQfNTlBJakO80Nh6DVZ88qrw0g90R130OPNQt/pCTbEHpD14A0agEVmDKoaM+bPolJid3yFBLZvxbArZtSXQGNBORO7bHK02tiK8bL3mTVNAPWZ0cS1PFOQEjZHF9zkgPq4I15V1ZDONXDgv6PRVD+YVQGsIZ2bn9ZDR5pm1XJMlO1ZDNddGWorTNz3jb/eC1hAeL4iOjLwOmEqFq/z+ooXQVroYRJtNTC0z66+RjomLNtwdVqwl4mU9EIXdBGGl4+99R1UojlFPAUiKlzXgkqc+ZapAWy0zXNg2SJNC7yokKGJugChabtxLS0S4WIbxhUYtLmoHqgXviu7Uc60YK8DFPObcv5x1imr7BzZHai2hXo2fOdE3685ryD143Ato5DjUtVVHi60pc+5NcVlbGI6lJ3X267qjn+bgdqo1nejuCAK9Tlhz2iF59hyWiacKs6+7EWi0Kfb1IyF0URxH0XpCzF7vYyMwZ6iBgVW2pIxYDaZqF1dwRLCj2laqINbuCBUUNfHL5qgjjKsnjdpIGuQ0EGxLFPTAZ3/t6aUpweld/DtG70QFQm6Y5g0xNlLtW8D1MjFQvUbIRqQ1PVurAlOCbiFAi+L8eMDfL6Qrt80SOJ5wXNkvlIPK92GuCLn115VIgZXodbtG7+t9IzMPAs23QeUvKMYYiTMm1DxJ9IqWLsIAraJrJEiODJ5LG2wfb0HVrN+xnwEpsuZ8v159rK2+tydYb9RB7L4jEfibAMPPgxC4nnfz6rWxshrTIASiu2aX6zEOcRIdyYJmQjptCqiaiPIBPONemim4usM52Bt6YG1mM0q3tgbZQmcyuY7CTb/eKGj3h5u1DNCOO/KLwM4HuBAFC4vrU5gY2pwhOSI8XYDzheMVIwWm7k9GQWRAQNEtAXbBHevXOQbem9LLqqBM3ORQcZg29rhtgmIdHdo5QTZzKK2Pb3AhoRezeUn5UwXPn067eYUFXRYkeY3kXGm3IpOdrQrahf2KXYwmrvSP4rUhPRtXz5DOeGkIKxMC0hik0qYBbQ42v4KYA9rEelSpgHx1Qtga8lPFm2uz8412LT+VsU6FQfP2ZuoBrCjQy3gOGeXo9tCmNfDf612GhjtoCvS3AgYiCqDtxTuBwR4CoDkaWnw134T7LIHjwO/z4JD1nvFMRkGbiMQCMDqnYruPJjgFKtEK+rlSDxEtB+TagPPWg06pimD2JVoNcj0kbA/RkiSCGgTxzMSQTgnVWh929XF/pIBb5o0FIKxnVOSXgpYDSg39u6EgYn2wINbo/dEQaM0R9bu3nU2xv+JVsb2nAOz6BljfV67zpB3c6OJGAOoa8duf30MV2F4mYLUE1TcbEBU/fXzAp3xCEMW76YL/9bd/jvb3R9a6vtkgc0WZLTG4RPz+d++ASP9f69h/aWZHlXq6oH4j+PnLPfTTPXRDr+WEKsWWNqEORQHyM4PWcgQTnhxCtES14GLoZX4BwsJx3Y6C5V9nSwxQCAqy01OxvqzSYMw4fnfLAeVr2qm4sK1aS4Kw3tpx2dAT6RqZGF7fMtHk51Q5AZ//x4B0DZg+RztXwbjkM9FVp/8CrM/WwL7K9acj0pnrQyoZHlIErQg0RZQD8Onf3PXkEu9XoBc+k7c1mr4wUX75NuDyDQPFuHhyizT6488N01PDs7B+P515L23ypAxLpOKXC+7+MaNOrJ+/fBVwfR8wP0bEq+L6LqDccfznnyKkEV1+/tPYk8CklXMutgcax7jAatKJvnOeyOiRAkw/RUgBzt8EtOs/U8rma+1f9Kp/4tKUsJ0CtntOclwx6JsT6xMlKGJsOMwb1i3h+pKALSA9RgqKFOlKkqTs8MF1Feg5AJJGMk9ZFA0F2iLdQHYl26hwepyKosSIlgLiyh5NYWVdsDdpTmfYJgkQR02VKnrlfuob6GbQzhVaG0JrkLMFol47GGTUM3qAZ0JM3bArDYcmM1wiCBv79FJdMEFq5QG+d+yD1QG7mMgOOfNAbU8v9bSQChVpmakn5c3787Ypoh5dynLn3DceNqE0Cq9ER3a5SOvM5EG8FoTzyj53B6P22CFJ+pAFUDGamAkPkqRKwafTAS1PnYKNrTCAd5oqeB9yvtKgHye0Q0adI+pk9OjG7KX3jyPa+yqTaoGIPJ/Rnl/oDLnz6UurWAEIAEi4df63zWp1wD65R6upMRVliWwpMeWC+3nBM2Y8VWb0w0pWQVjQm26LHcqrCmscF0vUiHaHkJStYcw1N+TTetOvTid+3pIzGjIoiCFICqNYaf++juKqUYm9d2enlhuSXpXCOd5GywM9b2GwT6DtA11HbNy5T2FQdD15EKPtBxPW2AlgISe2+TEavjRS1bGbv71ac0ex/PLWQWqlBFbz5/+G2nhfnkCx+/e6LtaickxcTZNoSLBWGlZ36FRkX6KLBeGv68d3gS5RB8uS+79ZosztA+vBGJRq8uJTo4LuUWzPxu6F8ZyauguSNZvd3DayPV4nd37tyol7aVf3tGMz045Pmz2qom6CskboFiAr7Wu88HCsM4NkBYDF7EcVbBceerIJ7fzUAOGB73W3zZDcOFfkXPstbzGhgtRXd769dgtgskBtjG6eVcZrxZTxe5LDy0AsSNvPX08SNku87AXNKoX5XICtJxmgQLZ1Zr3R9+UZPalmCcUAAKtYIEan97anbhysGPuzC17lSHlLTwKlnTJtqVQfTcEc70iKriFTnR2j6LVgLQlUojFggtFTFbptYyyNUUOhKQpHSRCjLQcE2dVKBlgiNxjaQC2KeqLTGZfakbOwVor3mXBQvDCwlpUCX/ux0BygISI8ntGeniHTBLm/A3JCfX9HO2IJa4jVPO/VfUvrzC4GubrT6wCiKKZYcUgFdV6xlYjWMk3lQmRLLaHuvT4BIJoSfHlTIYcGXQLCkwVDJwtkddh1InowhkTty3ZdzH42UgzpJzGBG9aG+LKx/c6JG8yFFj2xrBK6SGI5GDNFMGrrZrOrwoTG4ecrwpcz2sMB6/sDpAH5yxVSGuodhY3qIaCcLLG8MalIJldAOUasb0kRTZfW6wohFMSqOSBUUoohIGXa6mRbP8dBxNMSin3dLBvilxeupzdHaAw9UT0QZJiQnPlCW4HGA8oxWjkaW13WOWM7EuAQ1cGgiECdA+ohIL0QiVVLMCpk9CG/bCawecD2hmvRgwgff51JN2bNpdn8rbGXrwWuvVZSxk8oivRsdHJJ/fMA2NlBsMWTmPFlBaqivplRThPSpSJ+2bXJAtfF5cD2M9uDAm+3YRqtpztb/wFQga6C9XqAbILjjxHpDDz/RcPxz56wXCe0jxPWqPj7+S2ejzPa7454+58E5+8D6tdX5KkgBDLSXn5/h/wpUqjw3WbfwWc9zAXfHp/xNl/x/fyI/3X+c/zXdI8owPquoT1UpE8J80cGPtNnnkmpt4mTnhP0+tHtjaK8rQhrwvwJneFXJ8HlByKq02dBfrbg934IiKrpmYRl7OUWBesbtsNMVypkt4Tes9WvsIqdXxa4zcD6NXvrHv8uIr8A5x8U21cVsgTkd9L3vlS29rn7sWB9iLh8xb0wPfM5pycmH3v+U5VBbnUklojr858bdfujJWNWQM8MJlsGUuH3aADOfyIoB8XhA3sNu54MFsHhU8XhxyuWN/dY3zCwPn2o2I4B168Fmi2R9nzG9GPEGwDr24TPf5ksWA7IZ8X2ICh3irAI5k/cY+XEMXcFbE3s1uDt01SAwwf6DulKm1TniOc/TdgeGPfNn3g+ru8E5VWy4Q9d/11aCAGcXI/fWK0OFrkHRUwVIoqtRFSrKYTcHip+0Pai5UDJfgD2wSPrLE26YZCovbgZURHvNqPP8dpgwfIqo2euF/iLGSExp9YdyT1NRi2jDH8t0Juyh8BACbeZyZvLg9vdeNE5I8+mO7BOmcEw3J6l/wVlujbL/uMXLYwgcvu7Tn20wxUYgQ1us+ctW/awuBNmdJ2JjZ41SqdAeTDcpoh2N9MI38yn1zK0cQ8bEEwFVkWgp8O4VxG0+xMPlxxvaJ6aAvT+1J8nnDfLhMZRb+uIjDDguHEmd3OBGC24Db8QNZJkC7m/PNy8t+XA/mBOc4ujTZBECo4owMy/AiERZdWoXbiA6wcdRWDbDDNk/proGe1hyDkQglYjAFJFfZ2rCmJsaLlxnW/+uWMv/aHLa0Jvx0hGIGW1e11Qad++ytkJvr4bf7gXnM3gwfVwkHXf9soSJ3x/Y7LrVduiHmi8Cly8TqYrP/u63NW79/sNAonaA2lSr1mv245p0NKi8GuUiZPOeMiBcYqit7H4tfXVket9IsAZJn77gQG4BkCw+yy82vNi9XC7muceqL2OU/1edjWbHsTLftz2bbIAE7vbzX+hoIgHqEOwjT/8imCmRrFtCboaC8ZKThwdkwZEO2g9IKUQIccnuJO3RFKainSHpR2ZJD2dFhwy6Z5NgWcVBgBxlCaQstZ6TSeAQUm0m/YWQqjaa6rVFIqDsxkcCfG1YftRBZAUOtPAEUoGx2QstCkN1N3YEjdigU4dtaXQezW7SrjXUHt/V58nW9viS2S/5hpG7XG3f2J7KgDH2ZBkBqJdKMgWRwu+FulU3CQ5fT0HgVpva0/GdiaICBOLW6XNTrukEsZ5GUvtydKupO/tzIxpAx102N5Gy8WlgBv2hYjQv2hCVeU3D0AylfcQ2PnAdSFqg6wbtBSg7lplNTqs5ShDoCaANEDzO5aSsNWIUkmvLyWibWTVeJ9oikGNXp/lqEACZAvQVdkOa7FgTsc6l8pzwYU5Q1TEyCTplCq+NMG2MclXTWfC509TQDtxTrf7BI1EP6Q0BtkudNiU5ny1RKyx5HjvFigtrKFTAdd3MFGeXSK0s6pMvXy/TtpkSZwgptqqN/uv770kwNoswefJHvRygr3fQfQ92hlvydHj3BHjlneU3N3a97/XuwlyzNjeTtjug7WLDOO+/AcMZLzOPHgrIUNHmXRUwCi0mCwZdkgod4nzAiBUTgzBgiMQWAesar6CJxdencNxadaWhYkn8RrkMMoKeJ7YeeAJaEOu25y6fY5X0xNJASrDr1nfkTKajVmzrRG91KIywb7dMSBJdxtUBfUSoWoMrsjE/PnzEXKNyJ/JZLp8lTGlakEd1/f2krFd02DmFAZgGhR6jf1cgChSaJhCxd++vMP/9vOf4vHlgO2hoc1MlIaPCfmJAakrr3emYbKA7hP9qvWBpWTsZMIuK1J09NYuDLYAhasKx5U9cjUBCzxRQT+MisG3/myZBTjwXOReAKLlE6rpRzh1OgdB+5mKTPnFGHWroFT6dts72oD8GJicFa6vuChOP7ENZ50EmmkD4zbuQyPHtE6wrhkMsuMK6iJloAvFAb1Ms7dWNcTZy0trt398z/OfJKz3dyhHC5SD4PqWgX5+4r3WQ0D5zddoc+oMuC6klYhkQ00PaaE6PpRIcDXf2ccxrnxtfjTQ8aJ9nZS7PCj51f09PmMZGNg/e/3xwlOFmTmNyh625hCFlbWCEhXzXLBtEeuaKF4T1NBa7QEsaafWsFiI7rYsY6G1ka3vtTTuPGWFHMlP//b9E7OvjT11P8Q7XJcIXbnQ00V7RhQAyontaNJlfI+3E2lJkK4V6cuFxvNh7tRiOiABdTa6cBjGGoA5GubkmzqlU0PbFNGO8SYb16+gI3gw4Yh+yGy1C2x0wQ1TQ/WLtVWRQ7sY5cYpi+JU7x2qc16Qlg314YByd4A0RVo2cwLo0BVHAJKgHPld0zOl7sspdhEJ7ynnaoWdCmt1WiKC9MXaPhwzyunEg6zSAarf3ZmxsLHyep8pobyZAQWmn14QXl4QZhNYKdYCCGCroTic046W7QOqw0Thn924jqRGQqeZ13bjFCFG1AMpF2y0barhllyRSBGe1gIuGwV1cq6ootiu0fqG+iRZECqAXgSt2OEW/UC02/GAIWnPNNY1QDOQjyvmXNBMfbk1yvvrNSIuNBaihsxEU+vbJUtYf6SGrqdB6Qa6Ez8UG9GDNjqpEcEox163LY0tVqQ1tDmjTanTGm9o4aUNVoYHst6XuVRINcTolYPl7Xd6axyA9xZH8NEDuJvgwoIGR/5y7ChCm2NHNpytIQ10TqzNmTtErQayUhqApdp6vw0YNYTRTsnarvTn3gXtmsLwyxoDr0EZ32XwfUxKhaSIOs9MMFmt5Kjr1bGn140IREpDhMTn3cdtd8+S8w0aLqX0/uYtw5IU6JR8qGCr0YZZsK0JYvoHwcSh+HoeTPMLun0HwLF2s9ZsbBPtZz3A6o0a8GbDfNjwF+8+402+Ym0Ra0v4BwE+LAlYtCdw4lqRn8uwo/sESU/OGHoZBNHpnJMJeT2viOet2ymEABxszciYLxxZ79rmRORljUzKTQntRKG2uDF71VFhs6Gu4NnH2WimPdBbVjpwp3nQ2v15XiUpPZkptQJeq9pRZ7Cs5Eg6r6aAcsrW19Pq/NJwSOrMuYkL+3juk8lUxw1oDwdIZXmMrMXKTjIRlecrUBvqV3eoh2xolYLibc72sUB4jtjeZkhR5MeNom5rua2fVG/Hh5s17vav0zGrJaoOGXp8v1u/RBl6CzRVaCnQZYXu5DhlqSgHwfrWHD+1oP++IM78judtwmXNWLaEbYuo1wRsbOdDajBF/vYKphoEFYp4FTSN9DnOVk//RH+mTkz01AgqOGdFSmzf8t3DM74+vODv0jv8CGCbM8o1mw3jfdZZoCGjHgIu7+mMHz7RhxEFogtcWrAabMzqTFFQqSC9uSry49oFjerDDG8LBKDrYQB0ttn3XukbGTJcjwFFiJbmZ4qYsVfmYNmQEmqH39mCyAYIK3/hLYSckl5nBs7xXMiUyBHlzQGaArYHF9M0H8NE4wiQMHG0vp9QDgHbXcD6QJ8vXkMPcHxt8+wCyl2yoKUinQugQD1Nfey0BWz3E9okaNFaKQYGyKIKrFwD67sEvE3ILxXpaYMEK/0yX7AFO+MDWx/NHxagKco2Ec0uipajvce2ehJIiB2Vj0tDflqhAtS7jBYF+XlDfFxIWz5mVK/PB/D8Q8BhUxx/5Plf7sdnQ1lWWGcFvl3wm28+47xlfJQ71GtCnZXlJy+CeJ0Qr8DxZ7a4+fz1jJfUDBHlx6WfMxNmL1x7y9cN9U2FrAHxKQLCda+ZreWOccN/++lrpP/tHnpSyF9egNCQ/v09Dj/Sh8kXRVwV+bEAQXB9n1BnYQ3oc8Xl64TP/5eANilkA6aVNcZhY7wQV1L/8zPQVhN3S0D6Ajz87cqESUnm03F+QlEyFnbX+ob1pJWYFlvYfSbYdf2KbXjiohR1eiZKCmiPM5Z3AlkE7b7i7psz1iVBX04UfhJ+9/S5YP7HF7T7CZ/+DQPNwydgeq6WfAFaivRBjw3TR4qGub+nQVBOvjbdHvJe48VeE405W4hgL2+BeuD+aZPi8/9Ev/Pws2D6oqgHwcuf8jse/o4Cbut9wOX/fo90VUxPXANxUUgjHbwemfQ7/MxEwukn0o7ZpgymZ8Na5PyF7737sSKdG9aHiO0uGP08dxQ7rNrLNcqJycmbWv1/4vrvg+TussNdVtqRi50T3kpg9tXUZj3d51lRV0QG0CW8YS+TugsMzPEMVdCq2qHPnGA1URPd3R7/Z+fgN6eLeIHzLghylMeFOtxhCtoz5KpAV481sYT+2fqLr7O/y0BpvfZP6RjLDeyzu14juP67HcJ1G7iYAm6w1++znP5jAV53a/vzSR9XzQHqjofX3Fjjad881aTPQxHrwbr7VDt8OrJVXRHWnPFGFdYu6y9h/L/NuTvv4jGWCwFFGXWFv4LWev2iO/69VvIPjeEfuqzfaL882LMfabAWQfb33XR5i6vWZCR+dDhDvtZVbE23geQ2E9lxFgHvxbOQ3Et8BHPeDeFSFatbtO+xrFdH4vaXo7SuGvmKZqtxCPP0KXH6mb/G17G9twuQ6fgsOslitCy5sUmvEaNfXDKy2fuLyJNR7Tp9M/xyTl/P9WumhSHQbZ85FxpgKHpJhN80P4aUO93ssBQYDRIWlKMjra+fpY8RQHRRAEWwpJZCC0bQqorR17SNNdy07+29SN5rZFZej6m3EVPWmcs/t/Zl1Il1ewvYlpIe4LYmZPfv7HgX+bN1LkXHerSnB9CZOy4M2OuRBJCZiKcI2ForFpR9B/j90vEgVgyB9390Z3YXtFFsSW/Xle+DKBCE/Y3SfmbpawVhzHH/nTm9fg88P0K/N20NkMg51t29vRb72zMVbA384vLfRYYHqDKSld5uzveetUkjI0pu/9z3+o4W4GWK3YXNtAxuxs2alVX8+n3tr77WBR0VcxTd9lpnNfQ9+yoZ5B/1SqV2LwwogYmKm2RGw2Ay7Pc/7Pc74SkmY8fas1/aZwlqT+aYze12fFAFHSlyZLRF11zws4tlWE799ysI900z4SmJ1CtJoSFKQxL+v9/Paxs+WmvoaHVitsqVft0XIx1Xb95LRLZ1B7wzEvw88POnv4djqx60Abf/vj+DlX7VTSst/51t6put/NpmC6noLQokBcRt7CU4pdmdgv0lMHaB0Y7nIYBKET0mYj3JJpXJZaggpMDSD1+LjqJCxhnWDAnPozVNZ/SZDaGBHH5NZ0KJ36DbRh1nYnj1HAYS9BaI7ktV2y7G/BgCdzsf1QGVnc/TMv0UDXrjU/jfNXCdhgBcS8J1S6hLZC0ucMNA4vvsvraA5ZIRr9IRwp6IsjOgz1EzPycISiaye10zfrreY7tkzAvHbFtpS1O15xTzN7MgHOh41omJuXbdOSj2vz3J2ngvLaC36PH92pwxBwxgIdhc+HsDsN5zvlxDxb+3I6S+3wDc7hUYE8gHjK+NK5Augm0Kt6+115dZEA8ReswswXSzZsnI/nGRZW8qYQiD9n0/6L8UDtzZqX3pnY+ZncEu5kV6PeenZenCaGKmiHXL0gWwwuZ+wvidj2e3i7beCVySZt72zzaByVuzEd7qqBn4sAd9qLjcmJw2Ya9/yfXHB7m1Wb1CgEbtUvzt2KgSWASX84RmG0eaLybpdQxxYXGzHx6Eui1Tbw8ce7N4wfKezZDDas2hE8PEVgUfPjGtFFNFjIrlZRrF5LYRPcOTHwvy48rM5Mwm6tvDaefcCTAHhDvWbm73hOfD1hCK1wJLN77eJ7f3rTRhgBvVV8vkNVcYPiYLIMQm0towuBPVgLBsRBhchMTQWg/GNQaElWIk0jAakvtlqpyaWcvLGx9OgAq62IRaBgWA0RoU5UgE14W9VIDr16QLTo/M5sTFHIeive1Ky4FiV1tDPDMw8Ux8M3q0Wi9OqcwES23dOXNVQRH07GY7ZEg9wnsAa8JAAr227rqNth1GhRWnA7pDCXRntxsAV+xcN+h1gbZdfYt6k3aOQZsEkoCaAhHRg/TAs6pgXRPWcwY2Nj4PKzP60xOs/owfu29u7UqYLbvBQd8DSkYo6smnjwH0WiJqC2yr9ZyQzsEUI2GCbqYg2SloXFNON1RTjWxB0Dp9U8ch7mu5EoEd/XExqMCm2qxzHkSGQgpcmxK89Y5WC856m65mAYZRw3yoX7cd8rlRZVDh8+0KsxZYyFaHyqzvt12i6oYO6UGnDMNcjoLtJJ3es0e14spxjIsjGuApisa6S2/FFQTaFMGfMw3l2o60+XMGp/pQzMTXO5oA2QK9tXTmSG/l5S3F/PI+piKsZxfhejehJCK6AXq5cMzmCcgZaI0o1x6NnnKvw2W9ktqhZRniSrVZtQSOVoOXzElwhCu/DHvuCUUxZ6dlDwxgWWyOf7w42ii43kWURGf/GDd8Wk54WmdctwQtodfvhsLzoR4i6zubB3Jcm8EFnYRrl/F4QC+pqMZYuZs5D134SrqNaJNR4IJRjM2xbXMiWtoDS8H2/ggAyJ+vwGJ1/LpRmG1LY01b4kWjADmiPRzH703Qqotgxd26BVAfJtRDQrwWxCeFJ0X2DJZ6SCh3sTshEGC9C0QiLIHRIjPvAEyMRzF/Vhw+Es3q+9rpo0G5NoVnngrIXDCqsSPPjnSna+2BUXt76M4JVFCPCW1S5p6CKWIvrPP1M0pK4xrGeK4eCNkZGNYCrFtnMXQbn1Jng/Se9vsAXRXpqsjPgu0EFKPPYWFJ1ZJI0W467Dqs+4ML27gjR5QTvY/vjY30pL+gU1enJ56tl+8AnSvSVHGaN8ypIIWGotZea0nAEhDPgnQ1R9OoyflcgDMwfSmsC528rcmomx12kH+EjWwrV41F4Dz0PtBVTZTKBaRob+JKbY5yjFjeUbAqXyjymC5GRbc+u6Eo4tWQ41OiUE9RpIujyfbZe5vjttiCk/VtYp/THJCngHApiI9XrnGn9KaRGFdhIKAHIkDrfUA5AuXAVpaaBGeLTsodz9d0pk9Bey4QMd9BYz/z6hRQToZSP1l3hu9nbCeK9syPXN/bXUBNDGSCPYO3oBMFpNAvVGHLpHgu9H8OkXtwDobuksWgOzSdgou7JIW17ENQCiHZfbc5IawV4csFWobfUg+K9cDnLicaLg0N4X6DRPY4D6FhuU74/d+/hywB06eAYIJodSatX7NaZwnav+lDgH484PSPgtNPDU9/FnD9qxXaBGHN1uZNgCKILwHzR9qact+ApPj84wM+/3RP9LdwPub/OjMYWokGlpPve7BXvFA5WSNBlhYTtiPVf8MqmB55TpcD2wuVE9HkeBW8/z8U82PD8sC10RLw8n22Fl1E9POjIl3ZOufpL5VCR1+ko4dtYj1sunCtliPXbp1GoAywvdHyjvd9+Mg64sPPivwIXL6LeLk7AFvA6cJ9vd0J1gfB9auAlz+5hyfXpQHbSVAOu/ZKDXj4a75guyfttxwp3FQPiu0dy1fu/1vqdG6Pebz7TZv5vvRCNJqbkD7t5Vugzaxv3u7Zyuj0eyLAL38SjL4OU4LmuVpmwfkHRT0QnfVyDhg7VuwsmZ7oE2wPdkZPipd3pHLnJ9qF5W3A8pWgZoqIidXhxitw+FRw/Mcz9K/u8fiXQCl7I/eHr/9uSK5YZrL3/XIH0hFbbw/URsaktzepg5vtAYdnKfhXNXVBhUQGyD0LYXUxUGZH1doL6SRoqQFb6D0WewYDsCyoIlxJh9FDorM0M+jyHmieWQRoLDVZgAF0R5k9dBufDZbFtMMPAHQf6Nr7utO1R8IAaKVIxg2CrMzeeasH7Npg9Ebo/tFGcQRwW5sopN+58zfeYN/b0Te2IoAIxY0aevazBwVhKNLFK8zh2C04r7EyZzN4UFWVyJVq/xw6WlbT5PTksJuoHfrh1FgP0PpYeo3dPqtvoiuDn6RdeAjYOSL2khHoegBWb0VoYM5M8ZoqMAtrmTi/OFUBrQmwGYptFE46+TvnXwHdycar0JhU6xda7LnJGh5JIYCBdLBWQ7UGaAms//KgomeEmYXv92fZ47HuRva+Z+lBIRiqZ6KvZUewugfl2cAdJdTHySnHvSdysCD210gLPo6v59Qvr3FsCs0yxKx2KJjvFwlyS//3z9/9ye5V5ix3NJsHpx8kKjoQFAU6Wml1bdBdDB4CVPa/4ELozrXv534Q2mOZswbQOYIYbTkY2hgEUnZr3cZ5X/e5/73fiytU98vnTBUdzXLBldfXDdq9s5lqge4OyYX9f3+HjlrFsHkAwPvlurTadIy6QEc5+h4UYFt5XjgToqqQrmx1kajSEYNe0uxretzKzTO5Iy0gI4UCVLd02IaAUOKv16X2wGXMhf++I54WbLgjLj43bkfM/vX6Ur/XwED3F/Xrf+Dy/UrGhfSAuZ8jyrOqzrfj4W2h+tzGXQBmwWd+Bm72OGzN9rc5wiP9ORn42osDcFNn2bTXbXlG3tuEiADBSh2gAtE23rsfu/363yO0gb9zoTrdmNyVlDoyznZ1+8UwPpt1wVxH/WkbgCZsVdjCbovZc/qa9rYbGLadAeHOdgBG1ZWeWJDA98ZFESp1AmJsiKEh2JtKs++urP8N9n2d3mCBE5oilsbkSrCexF4/CnRSgu9hKUz69H7j6kh/QNDWExrNa03tO73UxYOLEAC90tfpXQyCAkI76MGxX1T9bcDuszsyvr8sad8indyUCAaEICzbiNr71zb3oRzNNDTJ3+tq4Y4MeZmVo03N1W2LrV2zzT7EwZRyq6FZU2ld2NJp42HTm7ZO3H/a74XCQsOvkMAaX1kLAhJKTL/YG52i7x/rdr753y3BKsrXWn2tpgDdPDm2s/2BiREPdsTzRJEU+cO0IaeK5TpBrkzIxyvtcz0ISDFmOxoRyytX1umGSmGidGkIJUBSs1KVPBDPxs+K1obGN4y4Ev9VeixA24PbBH/gGvQaTopEscNFneiP+/tZew2I6UnUg0LfbKgpQRrLEsNRLBGKDsi5xooozySNgnJfIZuNRbVkb+J4+r5ypNFtgCPPrti8Z4mkRZEWCi9hiazjL+iJnToN+xyKKSk7Iu3t/E5AuhpNunJ+6u5Z60Ehp0JfsBE8bJlmC4odG9Nq9FVuzulWaZNa864hVle7suytToa8ViB6eYbbhYOiHZXP5Wej+w/wseU6KIbyq2lvILCMoiXGGTUD9ago9+yXnZ+EZf9bQ3i6IpQ7E0j8PyvIDQH5opi+7CD9LFgB9g+d0XvYqrX2YNBJFc5eEC109Nywhtr6xHh9lyNM6YWLudyxyDleBfqBCASOzHLpOaEqkL9EzB9cdIrv7wXSdxGQExUI72J35uKqt867UUKkAkE90CGsj0hjFq0BuzsarDEbqCkNnqk95jE5nuXoTkoygRt32JqOAztHNnh3pws7xy4EGE+3B7c6Jbtv+95KigGAXvPn9WIS6Wx04YPI5s2agHJitpvfY3+aYamzYDuCyHRNkKpIkbVm6mInhjBoFpS3c6c/d+qaOxJTQI2Ccp9RD4J4TUhzHEGFUcSH4ILNj9W6ybUMFNwQrR7U5vRLVN3nZtkGUhiEqMWUb2g/iFZDvQLFNmin5AsRrm1NpHCWwP6q1isxXsUyXAxsYmX9m1RYuyM7iEycx3uIJasR2R5Y8xFWQF4i2jXg6Uokv/egfqFQQzoP+jiz9tqDB/bxI9WRfSLHHPjB7I5aqOa82CHbkyP9oJJBzX0VVHblzD1bIAYmODYThNmtU2c49NdltrXqLRECX6uqgw4a0Knb3kJFdqJLfW3I2Fedfm/Mje2eoi7bHQ/MemRWVCo4Xx5IKW2X12KFLY668SB0uHaXBBDVVtZYOfIwRBR4b83F3AwFkaZIewaD95885NvgypI8Xp/cxYsAMhj8ckEuR4JzJoJroi6d2rlzimRZKcph7Rfiyoy+NEOK7gQxKpo0NGsJQVRVBkVt9+O00I6Er2MtNmO1iCkwt4zuVMZzQEXGv//pexynDU/nGWVLqC8J8Sking352LEVOlUQtMcedHqNIGDOwoGaBdOXgrhQ/R/GCKr3E6CjhVabxtz4Z8hWIWbfKRjSEC8b52RHH26HaaCrfllwBWM33FLNBWr8xZZo59kfk8GbKwvH88YaYuCmzhcwpxgUE3L0YyRYAAidO6feqVEvw8psf53ceYqoRyaM45XtM2A1mS5UKG20FNOQWXe5T9gaHbA5W8dsNh1CfnabmbBKl4r0Qjsczis6IjtPY4ystRhEbtgHHLvA4BY23upjXGm77+8gJQFne73PU7dntOmYGiQpyhJRronq3lNB3QLy5wgxJsL6lk6ki8/4+muQ7gi7Y5euDIa2ezrlpNQKmtW4lxLweD5ARPF0nZFiw6cvd5CnhPQimD4r0oU6GOnaAAHWt5mJIqvJrsfY984+eQugsyggllyoAWHHQKBNEdQUiQQfd+JUVc3fAMKqOHxmkJwutj8y94fTkAXojAOikaG/xoEFAL29UX4pRDZzwPr+QLrqpSFdrW54JRtODxTFqse8s+NcP9tpBIp+JvOZpTvT2wPt+vTIBMM+wOa5J7vgUnikiQErqtjeZEAzBYh2zjv3HDrq1qKYIBBFhdJ1l0ERoM4T5J2JEvjx6ICKYrA29mUIntABiNwm25eXDfKsqKdMrQwRIN6h1gj8N77+9A+AvuOalWdBPAvqUbBOiSrQJUJCYzuarKhTweUdgCrIn1jzWU4KvS/QJXYGowcs273g8Ugl6cO/Ow62X/QzU+157KeYf5RM0+RLQDbW5vqGc+jtGdPLUEKuB8uLRO1gGgBD8Tm2y3vpZY35kXavnjLQgKe/EJx/yAjLiDEc2EjP/Cyv5T38rAhrGkG2MFjvolTJ9xJt5un3ZJk+/ybgw/+DMU1+4nfwWcTa9fAnf449WebIdad8B/4+vzAxvLxl4t2D/nJgCyAAWN5ZIJ9sTCYmylQU5USE2tdYO/BeNDIuk8rz12tbnWni67kmQOdGRP3IcT3+TKDD21ER1AjYTkN4L70QnVahArJGoH3k+6tRmuuBteAAkD9HsrsSsN7zrKZdIwPAS0KgQLmL2L69x3pv6+cXWbJfv/74IDcGxGtDfg4IEzNjdQbiLGhVUJOiq7k5YqPSeerxilETq8Mgu3PeBUPUHHewGL1thNfF+l6JBtRJsc3COpdVEK8B+VEwfzKj5jbdEMRyGP3jqrViSZc2sm92NQtkpbgzzSC8gc62982V0miALKNacxjZPFVgoWMpqiNAcEqY3Vyn6nbDaFQwIT2rG7NOvbVnsoRkf+2+B+/FnKmGnilkYKd0oIFeX+Ioa4sUn3HHvx69XQAdQhoEbr42ARBBKWKtmZTZ1560tWcz4QhmqxRyg2IaxTBSDGw7ClJS6F75tYH0ZqMUBctitxQs0VDQ28zk8b6b9huv0YCqEF07dXYEXRF71VkJYRxGbRgk9UxqZbBzQ8svg8LpTmSnjlnza19vLYedII92h6TZ2pTZgokrU456pUfR5gZEo9HsmpwHC3LD2sahHEZQW6dgYjSAq/F1QQ9fDy48Ze/dX16rBN+7+5qP2eakqSlpg8G15wycWu7r150trxfPsQtXdRSs74+4Q84FLkZzUxcGdNvR78nFf4IFMxNbLdVJmEQ4cB3Xg69LeVVbZBkwSFeTRBTqCwS52c9qCR0+S0Dz9kSJh07w8bIgo0kYjlmlWEWszdaydBVgX7sarNShCmTdBUrOYKgVmCe2EKoNKH4Cpds94MjuPmDwftCbIlhmVSzB15KiNLF+53YPKr2Fyk1rqZvFgt5j2tkFLZNW2Rwqgq1365sXVgE04OXTEec0Qxfy9eMlGGVM+md60tGRKDHUBUGognrw+2NGervjPOQXAVZAQVTK14VUBa72eqMUtzjmWCoThnrKaHPoCQ8Gx76GA1uqWYKjqwmrQmoZQVgDOtUdFhiKoB3YIi2dhWryAHQyevvzArks7H/r/WZ3cyoNVjbidmS3x4SBbLkzKpstZdb7cz3WKQz0z5I8WCzx5awPG6foQfuuFpRJBUtQG0NiJKphaBjvp3i73MDzNS4AlpVjfzqwvZYq7bS0YaeBYav9/11ozcfD9hhigMgESbt13pNguAl0ZWLSQ58zZBNUACkTHUnPTJZvdwrNfLOXnXTBtY5gjQQmW4+YKAtGMKaWg2otYLGej0tQBFHU54R8oehPflHkSyNitjY0oyRLHYSXOpOBtQc3xnrlHDqLgj7PUNvuwl/BkkCGJuVdIMDkXkM0BWKn0273iX5YG6/tyYyiEFG0g6AegtmVOtZGAvCoCC8L2tsjtgeWtuSnyp73jjgDTNin0JOzftUe5OIm+Ax15F41UvU6FCD+CBw+t/6cUPS6dIXs2Eocl7jwQ8ox3KDcfe3Az0ox6uiuZrsAKqELpgKOINP/yS+tlxZ15k8YvmZPTu3OMVcoD7UhfNlI1bdkG/3DgLJrn3j40LBNiu1eEI1hsxXB+lUYFTdef5Ebwlzx9s0ZW424Pr7twVc+bigCtHNAbCOYLCfu4ekJePPX7CP78hsLjHeEFZ5tu0RoUngXiXTRjny3MFBJ2nn9BRvC7ZbvWWektMxHmT4B05n2vLwQvbx+x3U3/xQxf0Y/06WxbMFjjlAU8xfF/IXfef0q9PKa1+VNbQawAodPFcffX/H4r+6R//IJl09HpOeM0CyZlUeyK65UEnYbAUEvc2iJVGJpQL7Qfi9vI1vzOOsmAetMv3O7V7RDgwMtvSuHAHWmaraX9NQjsL63pIOh6yxvANH+XeJAKujnz9ZremJCef5MpL7cRQtSCVa2CWSnWFyQLtYu6M6C6Uz+j6/9OjGeiIsgfWFSyPeoU6sBIF3p3/nfyyzY3mbSxJOSIfsvuP74INdocXvj7o69NIU87to9BEA2QX6h0xFWfy3h/E5JNtRWmhLkbE595eEZV9bAlFm74yhPFvRqZOF2Gwbem137ocPvUISVNRI81C1DtbLmrh6jNUw3nrmO7F8oioZwQ5Hz+kRXJL6hf9phoiII1v+u0xtm0uNYk2dqtTH0LIUEYd/ZQMfJm7/79wVrfdFFs4xutc+ooyr7jnprHcCcgkBl0InG0RHrgWLvPkOHm89xomy5K54xYzoy7LKjD2sgMuDUTK9b0okHRNj4nu2eaHo5GHWhck45vuPPUDhHuu68atU+TrIUyLJwjLzfrjuAW2WdV4wD6fJa3BAHIr5uQFvG5wdS2KOpvMWrQLKjGgrViBZCp+VLJYIrhRSTeOXaigsQ3eGvu5+gjLGbswSMPSBEfVtHFn3+aejYfgVIz8x6xisdorApEZh1V99t4zcCPXfgbUmY4ScNJyKurfcb/gUzxD9nYjbP1wj3AD9XlAmXTq9tRs/t8tGvAucQLJlj9yogjROwoHh/nzanQbmO1Q7qBu4jo7Fhj+B6/XG0A3O3R3rphCMedrCJMQ3CNl4zDjqjR++vV39tMXTBH68hK7MFMsnWtcLLWlEPkWJ6CiaK9h9tSYdQDT2LkW1irE0KAK5pc/Z7bb7TY/3zPOn2By7Pukdb/mRz2DRfA16+HMb0raEjGWFzgQ0mIn0OXXwieN2x1/oJECI98VZgKJcFSN425SlBgyJdAw/Sq7VluIJaAKut862h1z6DwnlOfdMgDEpsbTejuDXvi+wBsq9HdzQb6ws7+nS8TZzVmXNbDxHyYOrDrxKknujxz2UgyWfZ19v6Hm279QrYfvVe8EZh1xC6ajiVcWUgPq8urjM+dzlRHb7NO6cmUKxQI6AVJkilnYLrSRdpDITqTowQAFk1ier4vid074y6A5VAPYoo/QyGGgrvyUM7M+U025mGYbeNZePq5bTxTBZ4WxyOAc862nNzOjA+p4/LceossVCA6bOgzYJFJmhiylmjAmvA8jhDXpIJqZHl0YwOmK7abYM0Ind7+jJv1s4584nqxDUYF8H2zOcJF6Jz9dRQc0N8jshfLJls9sCpxf15BVSwNpuyD/66PbNzfH8/yWjK1JbgvEmhPxQmGV0sJqN7V/9MjxrR20XtRRI90He/h4lb6QylznwC510b/Z/t6zvWve9R3ihIL6Wjwj3wNFGmeoy9tMzHmOwE6d9RD5act+CgBaJQFC7EoJ2mkWTT4L4nEBuf2et8vR+uU2/ZQ1XMXxksFMAQfZh/KqNcg1o02m0sPCHg8zvFfhb0q+3YOwr2j65tsJoaW0H5+RC9jh2GuF5HUqXO/DMsAb2LgHgySKFV8PxyQGvBqMdsP1TLCUHRA1W2rlFEK3vRAJy/D516CwDT5wD5SD0DD0SlCPuj3xXMxw3L+4TLt/SlvVaWzJLRT7Wlge76OcP1aToab0zh90pGUboojh8YOa1vBJIBUYqBRlPCbpHrI2xiqKlifaBN9/ZCdRr35Gs3XqkfpElQbJif/zTi/C3VkK8fjojPEelq92lrqByZKKmTl0PB+soyQZCuDPJKFGC3lupBRi/ZxPrx/MQFX06WKIgKSQrdAvTT1JlVvidc0dhLjtCGm+L2L194P5fvFPXYoHcVaa6oh4Z6iGZzuG+2O6CelONv6HA9cO96u7QBGgDXdyyj84A6vwBhC30uQyE7N26K62QK1oK+zqbPTERAgOu7iFCAu7+JqOu/LHz9o4NcNUeqK2PajXFjCaaNA1sOHJiwCObP6Jl1UR4UntUi1dJ+lIggg6SAerJGyU90akjpolM1PTOLdHkO1gKDA8xAjJ+bn9ugYSobk4fnFemYoeEABPS+ceu7hMtXXCz5rN1R4+HSaITEjZodzsHocdlqY8y5rRONPHuAOQpJZLSeIqDA/GlBOK9oh2w1wObkAKQoWybTDzo2cwemL81EfoSUnqZd9MedWtkK2+ykCBTriztPQCTlrh7joPvEcWC7kwgALmiowrjCxWWcagGYgcJwEL2WS5OgZEeRmLnyzHNaYAi4YHkbUTPQqXXgxlJhRowqeZyDtITeBiEulbHqnIApIV036OMT5HCgSBHQkRY5X6HnK2SeoHdHdDpnreyhGk2o5HJBa7fUz7A25JeGOkds53E47tv/eAQWNsH0hYY6vWh3/pk11J69CxsFJABAlaJm0QRbEFgEQurozkEL2AVOnKf0wgxk3BTTY+XnXArFXFJA7wNrmXBHMV0VT6o1Wm+w5A73bxRDd93ZANd9RycjnUMA3RkaNwpIVsvG+b5OCI4muv/iaG0KpP6GYIGkqX5aMkiDMMPfEbH9HkR3YrvAlQjaIXXnwYOgfcKs36cFanDncR7zKA3AFf1+mwWmLVqQ6xRMjKTXUBcnisFfGkPiZPbBbKYrvJMSZeMdAJlDDzIGy0WBhbT8dphQDzPCWhAeDZE1dEsuC/S6sF3WPP0yAKp19GLdX0aX9ntKF3Mk7pmZT48ReIqs2ZnNcTcaWrq4LVZMXxh8eY0ze0LWHuRKIJ2Wz+sKxcGcPzGBHSJZALrTkC6K/EKE5fBhG59ZFfWUUHOERKdZwur0RvDla74rrRZBaAz0fG17nadsFem8QkpDfXPA8vV8s3a6smRSlONEOvalGt1q96y19b0HSM9AO7uAi4pBXD1E6wOKHsDtg2uiIMGNLWQt3Dcnd0R0IJhwx9YZC8D6xuhtGWboua7bCktCoWtSdKR845lYjpH0YvA9EgT1LjM4mwdllPVSIxHUJnQErOqw4UQ3GsLCwLBZ/ay+YSu7cCm3LI0QoKeZ++DLM3TbIIcZamKMEAFag1wXaCmDvtzHbqz1ej93lCWdgcMznbZ4CWyt8XWDHhvkGpE+RZacXEdgFDaef/lFewApjShk3CVf6xRQjwEB9CNcgRaztSD6TKft8DPR08u3AeW+Yf4QcPr9ELQCLOFrtFpnJZSDdAExtydqNps6J9KRSvSkdUN+NifYEsrTY0W6VGgKCCftgbMHyF1F2Gybt5vqJTYbUWZRpa22JNAoTUJPjoid2QCwvkkox4ywKdKZ3nc5co3Fc4FcbX17f+WizLXdBSxvpCOmTVhW5YqrooYm3Y9klzRgfc9kz/Ro7SrhZynpxpq4HtJVe7/hlgTLV/Rhjz8p8lPDdgy4vjM7Po0gSMXOElv7YVJokY7YBmOueOJoL8rXogCZZTrB2k92Ec8g0BwQvKWlCNppouZJaYjndZT31OG3xKUhPDfElWJM6wOfMV4EupCirBGdEaZbwHZJtOfK4Gj+KJi+cHyv3/CciouaTVakSKrw8/9AtDS+MKg5/U5x+qlhuwu4vh8JJV0F+bjhL776hL9uguftBKeWs1TRkklXzkM5CtZ3DZqtbc7VAyn6+e3blWfrjxNCAeZHxem3TwjbPda3mXXYF67TeBn+5/pOEc+Cu39QpKXh6S8Srt815C8Bhw989u0etJe2t/ILhbZaMnGrg+DL/1XR3m0InzIOf5+Z/DqTEeYJo/P3guW9Wt9YmqpyBBBIoZ+emiXE+T3bURCqYLujAFNnKBTg+CPXzvVbQZsbQm5IuWB5nHH6HVtIuhhWPVIMuCd1dCTAPFkvV+D0U8N6J3j6q4r8/oppqsix4vMlYbuLCFbGAgDr+4b6rrClYq4UoFwjtAi2RmYHA9xmZYwjMSINmD9SBKxlwXpH+3L8WBEXxfI2oNyptT0SpDNw/w8F+WnD478+4Px9wOGD4vv/3xX1esF/wD9//fFILmCqowZHZ8pEOy+7CzJsAKwGl5Ov3akMjtxWkAbjGcgGCIaD1/v4WQ/VuBFldaRWglGXm/JAEGaCQiF65iqB3lpnn3X3gvyWBZpid4ZusnEw1CF3+Y2bbK1TS4bktXHlzRHvdEXz8fd1Hd5HsTs9fvm9KrHdXtBt9C9NAm1OL+Mzt2AIpYJ0nxRJX4wDAXDV1xFQ4ia76ZnXDroVPl/Qcej5uDnK7YGCC1VwE42HvKF7yO574gi2qs0bAxCF94Z0tFEN+bl5v9GMxfuWinAxdGQGPUD51cvpyebcOgpwg14W1ga5ImtcpAeCne4RzXIIBkXZW2PtKMRep+hiSmie2W6d8gWgMxrCpkS8bJ0xqBtJBMDqw1a1hE7rwiR7USxPPviY7oNkClQIArzFir3X5sKdnH091J7qpyK9poPfZVmRKqT/9aTJoG/Su0afJ3dU+5/B/s0dJEuYAERuJe7HkKRTOsNcGCqCfZ/Y/Zrh//iY8FY4R0KEfJfc6TRcefXjNeW0Urx8/0RfFx5YG3IY9+In9pqqPZgmy4R1cxEWqKP1TL80ZcsL6xP6qyJF/jun3/vv9oGuI91FbwNdMSd01T6vMarRh9E3vjSiWaGYtoJpHvSm7TBn+IrulPfD9dXFhJqO5vaWse4IkdI5iZt29o87h72ev8/pWPddUK2L0Azb7MhYRyUN+fX3dzssAgRDKl/V/fX9428Nbu+UTIe+xmydd9sq6O1aEr+7376j0Y22hG8Zfaw9eSj7eW3o69zR4Y5Kux03Jz8Uokys5Zce5EqRLlrX50XH/fYSGrf9O/QJcBuMXl6hu+99LVzYjN4eIhDX0J1bt09B7Hk2oi/sC2831cZaltdr++YnjP/31+wvpV112rtTs+OV6yteBIAHt9LV1qEwcSn0BG/Xh9iN1xhEuWGMEL3m4OpFet9aL18J1oPXEQ73k7pQm5+3fe/I2NY+5fbvLrDWteb883bBqbdQc1bDnmL6a5cn9cfD9qO6f+/+7G9Z+th6AHvD1EsmdKlAZ9f4uRNtLcfdfrH7dRRI9mvH5Bv6M3gSB8NmtKgQF+Bx0aK2u/9dsIWdXxM2rleOqwzBIkcu90Nie02EATACUHdtpDy47d8RBAqitd5pAgo7NynmpdaNQnZU5D4uPr6eDNoJZnormDpzzKZHQ/WEyblmSb2AcNMScS8QGxdgerY9Usd+b0lv7KHUne/m8+/01AM6khsCULaIpSbqOri7YUJMcR3lL+VgdNfN2JMRaLNHaOZLVtqQdBbkZ2FN6rsDgzKl31XTbg+s/HHxrJaBgtu172J4XM9j/apYojR58pTPhCVaqR5fVyeBRCCcte/vzpCwQJZ/4XoqR/pP+7Zkfu+uWeR+bJ2479EAXQKaqCXepSPhjtir2Psj0Caub2fSkqHFpEWxut9wDdheJpS1IUTa4HpgUjQuvq8x1omvRRcY7v6p3aM9r/Q1wr+3zH1PIV9gO4WOOrOMYpxHdRZIIRgYL+YjtVd+yz9x/dFBrkwJ+fOCOwG2h4jrezqw6SON6XrHqD5dbBH3UUEX3/Fsbih6I6ihAlvszCQnk6b3Yov8WBCvo1ZCBZgfmx1AAfUATE+GbK0N+XEZ9BeYQT2kTq/RIFjfRNQsWN8y801ni4F7MFR6T3tOL6PVw9jUrFOeHjeificaryKATNywXXho42SVuwTcJaulat2JQFOEa4E0Olp1CoNyKkA5Rcgc0Wmu+5Y8jxvpUQ8z9O3hxsn1oLjFcHtIu6MHy8Yctbe/2QcFUszJk5GVj0vr6JpncUfmtpF2ModBMbcNvj4wqbC+NTl2V7szBTopQH6mE9zENw+TFiroQjId6UoRcpgNmd05PgCD1xRZzBTMGufEg6GQpqytQeaZwaAJi7Qvj4hrgdQJ+cyb77RhgSn1yTh0m/bMFRuT8369vQKAcc+1IV6JHLUpoh0pGJYuhSqWJSLPoz7XnUlA+1pM14b0TGqlC7h44oTfxUAzLJUB8LvUkXsPWHUGVaGhNvYmUuJ1nyIop8hDp+hAYguApCizUd+aOV9N6Ws2UD0YRsfViLBUxKuSwmhiO16P6D01WwodBRWjd5fD6EvqibB8Lnym2rozfFMvpY0o2q521mvIpAnCajVV7qREW9eKHlTxMOLcumqgJ1ha3gsmNDvkAhAGRWk7CrY3A3Xua2bSfmCFDZiepNfwxVUskTccZ6rvTpCJCbveTsh64UqplqQRyGS8sb2AGtBr1uW6QGuFtmGYNUakl4KD25gI1CXA2w94MOPITFiB+YveUBodiQ5LQ35cd061vdfKLbyGUyygS+dGqlUZtYXB6GXJ6qVcT4H/CLuXABhC5iiaB2bbUTrC06nhzWug6EQlhGFrvXTiIXdn1YV5HPFxpHLvQHfhKxs3Vx9OFxP9iyZKZetbU7LPJF06XjgHmsRKNNyZtORTVUyfC+LWGPxt/uXCZIcJTrUpdmfZx6EaRTs/w4RkgHKHPo/S0CngcdGb0hyyGkg7jWtDftpuUOZynzsdmpRDts/oYyeDutaydrGWYmIlbQqI19CTIFQWpU6BBuF5uBSKbzVQeAqAHiZgzh0tp82wzZUSJAT03sGeONydf2GtOP1+w/Qcsd0FLG9dXIUJpfxMBsZN4tbQnOmLWn2d3qw3ALfaCup9WW/puvmiCE+K9ig4fOQ+KhYE5BdYSw1rV2YJJ6mKdK4Iq7F8XIui0qFmyZWV8hRz3O+GvSNbzJFnJc05SGc64D7amY2bcx4YyHvLgpqGnoZUHeyvm+QIkcdyou5BujSki6KcAq4mmpOfKRpXXCHW6JCi6Gu3zhHhmNFLuBJF48jea0gXF5ITY05pp3h6L1wI7zVerObTHftCpCysbG3ii12jDkE7oxPHpeH0e3TkfHlrSXmj/W9v+L3uH3oSXpr0euVsdY3pQpEi1ie3Tu/WJKZFEsjGesJIoqvtwVmAFpEygYqWIzSRicLkPNCTfHZd30eUHwLKCbj/reLb/+8XlHczfv63B2x3FmSYHY8rA6j1Pe8/LNT4OHxoePjrM67fHnD9Og368HxbmjB/MLrykft8eQ9raQWs76iUO38WyLPg5WHG7+QtylNGtsROfjKGxLMiLYrlXcDzn3MtzB8YhF6/a9BjRThTfBABiJ8SwiJ4+5+A48cN528TfvxfjgYegPoJdo/pojj9XFFeArLX674PPWHh6CFbhCnWKgTPrvRFNQHPf2bsMkt6HH8S4PeJibzEc319w9Y46bdAfmmkbhdra/RNA5pg/kgbuL0B1rdsc5qeGRelK/f+/IG6DFRYph06/8BzNBTF9HPCdh+xveE4Xb+rgAp0bkBQTD8mHH8vWN4B5a8WaAk4/jhh/qRsw/ObBdtz5l7bgLu/E0ibGIhGayX0LW2uXKg1o0EhlwgtAVsJdMo36Wi8WjAerJexi0x5EqNl6qC42JUKcP5Tlslo8mQKWxxJUzz9JgFIOP3c8P4/rzzX7xKKla78c9cfj+QagpaulYeCZSKSKdiF2TIUG3+ngl5v1TN63vbEgxQA3uIDvoHVkDNHIGDv1UbjPNGIuYJyynScHNkiutVuaZc53tQ/AZxYZhp2Tm0UCqQ0T6awVvKmE4Ts/nRHujaEOpxCvg89wAtQqAlxNKttia68aY5EbynhHni4/S4PdoWll/3gCoKe/Wwp9DZI/do5Mf0R/kByxOus+592CPpzjqBu7xwNJ5mo2u53jn40yzBFHhh1gtWLKVxlTpNYTYdY3eUv79szbN3pjQJJcfRbfX15/ZplMYlSmFPoirMxgKoMNlylwgXEwqbGVNDu9AOs0b3JDBvq0bPxO5Sro1RWn4jCIFf2KExVBFXEKIAEILujNASiOgNidQEernExRNOHqwdJzVTBsQ/W7Bks8+2IIREItX+T3ZwKtFmQuRverkZonx1g99nXqyUFQATwBmHtNav2PZ40MppjrJzf/e88e8/3mb2QQR3mh/P3jjKQds9IdQS74PP4/AgR3Zu1/2uZ/uM7AAEAAElEQVRJQ7tPFycCtKN5nmzqP5OJ7Ni8A6xjaROMIcD3VQtoGXgDotIzoqQhgm01okIr2Ae2cfw4mebkBHP6VW9tHsZcIoRfqtQakhtWq3G1Q43MBXNq+3rhuksXHsgt7oIbt3Fr5T1MyRIa/t0Y+7YRyXQkJiRLLqpR6Kv2kpM2ueNuSRbdfQ7G2LodYOIRQ+im8bPFst+0QWYDQJvtyFZ33lV64s33zM13vvpeyLD1v3iN7yVHmgPvxT/PEYK+voIJNxXwrKrmQEcZxvo1cuhB9n5a7WxkBl8606lFS/RYjZ3XCd6s9wA41tyZJj0hZMkPpybv6Zv2vG0G6qQdTdAiCJ5/meyMdzEUUUQreyGzBGwLGF7RcbzXOSpuVPD92XuWy9Za/eUGjgvfV2cGiAILKBusz+ewGS3CUC9nhXlplX/vsJ0dEWo7Ww50O+h6ICxbuq3ndPSiK9zXcUZI2dWem/Bbr/PcPZ4H1C3a3OmYryFGNhgmnDdL0vzKunn9ua/R3n2Ae4PidpRPIMqEtLewYr0/g6EW0em9nkQEMILbHYLr+8ZL2jTS8YYwMCU7wvazo2KWsIUCEnUwDBJGKyg7p1W9fnnna9ics5RntK7pSeJInwXqDAnOtRprytEraYAuHIv92PZkaRx6AWp0v87qMJS71+QD43fACHCBm70/7s8S7V9egBQg5UDQwD7HSwz7fMq4P7batESyryVbV152I8o16/sfVgddD3bOzaSZSzWwaBWULUIK9QkIknB9psWo9mDZUNgYePYWSNFLLtznZ/eKfKlI54qWE5Z3rttwu3b5fLb3NrOvR6CabxW8ZZcLZe0SPqHAkr2+8DFAjI0tH2sENLDlUt/vzRBZyyW3yfc1x6JkjlP3FW3P+3fqZuwdYw/Qvu7sdlG2nQSg2SYoWbCi6En8kNoApTbef8wNZa4ox4Bo9ddx0X7+lRMgs+kuVeGaNs0ZT1hDBWI1tr7mblhbfT+jJ5r2rAdNLuankG0wc71Gn/2SOSbpees94BtubdUfuv74IDcn6BxRM9XzDp/acACC1cOasQlMMvRM8V4gJy50hlycqGfcfeO64wZ08QVgLFin1zkFeXqqyM9sqh2sHtPbkqAxU1zvJ2xv0s33Tc8NeqZxLQfpC5NOt6IJkGwjhuJBjgxn0RaVClDuMjOs5tB1msLVek9FQTtxI6UzUT5HrADQoLnwSJQ+Nnt1Oc+8lmPoSCKzroqWpk4BD5tRMC2zHew7XDnUa5UDaNAB4PBBkc6kNsRNezZbPWhQM44eYLmhdXqWbYI2A+VEZKSLM5jxKEeKQdSJGa5uHISGMCx0ev2gIgVYKSMeWMszPRYw2xmhViQfo3PGbU14+wlbswihI1ydoqxKClwKQJx6cAFYXLAWpDMXsr4YsnqMRrW2ZI6Lp7WB7uyp+J3a7XT8OtS8vadsWCr2+9eDDh4Qbjnt8SwjvP+dGGVJVj6P5sj+skFQp9TFd/oh3cV7h6Pp66wrMcex39wINmsR1YVF3FExC6YehOz9S0c8YoBMg1Z/cynXItJgLGAGvL+dX3t6tTg9NERDdM0wO2LfOP6uWMm6TdBRtM3kDqYKoAv6+qbYiJrImtkzf11PrKAjz57Ia5GIlaMV3uOPVCL2ldPkHwTIGiAaEBb0Q4TshzhqJKuMEoVqgX0ENESIBa0SDHl/HQTd9B62tf+qVZa8XKwOMnW6LZVAdTzrzvMNBciGvLnKcU8oAqh3k82nqc9PsQuAOcrkSqrlSPG2uAF4IcoRr+aQ1BEURIGdG4UBvLE1mn02axRDT6aGzUREDuNQlSrWTgR0Gp1Pf3RPiM/uz9Om0BORXXDQ/cs8wHKn9bKeFWhzRO3Qnq2zpTBwucuG/AW0PEEjsD4McZK9IwARrA8B4RiQc0BcEmRtCNdCh3MvCCW2Ti04mp65R6uhrSy58GehE374aG1hxOmPO4fWknXlEIFT7ImboQ2AHtx4bWjLrCVrWXu9H0xxHnBHh3YomB2CAFh2gb+tP00B5X5iInXOXE9r6Wc5GQzg2m8Kb5l182N2xa/yMCEY28jXdy+hAoZzW4cjq+sYE9ef4Gu1J1zCq2BarJRLo2C7C6NnadoFKPac0oD4QvsyPTUcPq48P7vatSWsp4Ca2ZJsu4sMMhpt1PJOsL61fXJ9FaTafJHBEPpaBgBZecbXSVAmt4dMvrXZRTb9zBAs77wXJ/c9EWuyg2rmfgwVCGeOv+sQpIv2RFHLpGmWI4AXxfyoPcAj00XAzK75RIbsC7Sfrc6hb9EonwKjkdOxj2voAS2Ajp51Joagjx+1RbT7KRAGUC0Lzt8G1rYf0DtKlAODzzZRtbbcVyA3ivGtrEXUQL83vQh60icRHdzMR3FbIk2RL+hUbmlgjX9tbH0lxgaxfE98XNl5rzUmcaLV6e6Q3MPHBlkaNHJMnv7td+wqYqigt9NpE3B5MxIAKlbPrMDLDxFxu8f1XWTAAbcX9N3KyUCss83JR75/fTsClHANw5e2YLJcYu8Kka6811CByzdEf8MKnP7BgrcIYAPu/yZAZcL2AGwP4+zUqHj+k4jLVwFP/woov7kCzxnt99HWFO/j/IPg8m0eiY5ZsXxXgNyQPmSkF+mtdepk57JpFVQbr/xsg2uJpOtXTFanswXjgbWyvHH61st7wcufmrqxALIJ5s+K/KxY3gesoK2pM5PK7cogc3kn2N7YvSbtQT0gKHdKyrnRkFHZdkeKIJ1T18ohoq6ojxPQrM44EqWvvz0iTIryrqI0oE7RgnlLSh4ba9N32VovqfBe7GElKi0KXL5vaPcFMlfkuWD9POPhP+aeQOnnZxz+U2uAZipFHz4mnH5PPyItpknh4I7SnxMlM1RfJ+//wPXHC0+FABj1jLSnan1nrd1BUWCXLROxLHczNb/VBAu2OtAc4JfOsV/uVEfpmSXP6vn7uBBa/31Hh2OABtJIFUSAtztSfdn3Db3/2/ow3Tizsj8QdoGLB/Q9ILJgeU/zGkqZ5phbNtUz96IUDpJ+zw0I0vtvqiN5cjsOHH9uRKftDBR9bNLpGQiF4+tiOeqtjDw72kCnyIr+gxilqNfUDcTV6TgAD/XexsPH+dV99pqDfRbYg9wDaeH1oKgPdkjYhzBLSzEirzHgZwqKUapJg6eR3+ZsNU6xO2mhND5rrRSXMhqbZ0pHHcsuIIjRKMyvlJRK7UIQ0NEDlQ9mb29+wI7aAdn18ewBrgtPuKMGdHQiWK/flsJwWAVAva3DJZWqUmE1UyG7BzQNPWPMLHjsvVq9NVFHHnZ1in2P+fqyIKpGEzyp4HjlnaNrDupNfZ5vlD90CUyh0xCTXc3ovt67Iw3+exu/QZuVgUYnn1MZQ2TCVQy0AO/Hu6cr97mr9hoAuo3ndWSl98/2+lK3RcGRZ/RAwsemHKRniltSHpZ3jbScuSIkmyMVaIwoFyGJ4CJoBYDV1bUiyBXQph0B7JlUn3NpkBbpS70WldrXK+4d/+Bwiz33unZbKu5HNgpz7J3ynqypw9aml8L9YWwCPSSUB0J20XvCdjaH0MhUBsChNIQpMJe5jc+O1zqEt5RnSU8OrYXOnanJI4XOAOjUS2DY6UREsXrT+sL7oEruQLWgpoaqRhc19MzH46aWHejz3YMGC1i0mX2f4u2e34y1MafxfqvzckG4rjgMfl4TmJosIEr7FYX2yNf5PvCGmj1H47NFpS2Nvvm0369U68H6QjZWnRzB2EdIijZT8NBp3t3OW0IAGOPQsqK8qcDUEHKFREVdIvQSiXBGjk9PtMkIzjsI63s9Eb2S5sidJWlb5ePac8qNPf8VB2jn/Jc5IrvafzVBQDuTbmr2PVnpf/f/NWaRKqg7YDaBonivvlcZ0MkxdPuzZ7zsKcXJe2k+FaQvC9vuvZmN4gA7w2nH6xzIfvIEZDWq5DcV8RwQVqJk/b5lrNVytDE2JgvvHYApvpLVJdRlnEeQ6PPCkigLkspAftiakfczvTC5Tjo199o+wGyBwVWdsetLbhNgfgMOILXYaGa9LtkBkA0cmNkXoicrB2LVJsHyFkZDV6Qzk+vlZHY7jL0uzWouo6A17Sjo9iBdSbZFBjX11MZ+EyDeFRxPCy6XCfUpMzhoAdj8O9yxt/l3ZWhnGTX0ZB78fCqNNnWrPZB1sCNcrfWh9ZvXlNCmhFZH+cn0WJCfV4gqrl9NePk+9kSHrxmpJtL1xsa2cEHWowKBKtKXryK2e0Gb1eyyiSVl66tcWJIoVTuLsx4jqdwWHHrQ5QiolMDylI3JzOm5QRrw9OcB168Vxx8Fh08Uedru7Xk+EtB6+vPI4E/GuK5vuaG2bzZ88/UzPqU7lKeDCVnRpq1vFO2gfW+3g+LuuxdMqeDzyzvkp0jf3UAL99ncToWNYliA2frJgs03BVIzps8CmUA2gSPB1dpwfrMCJUAWMl7zCwWYykEQjeHgybMWARH2u90ezCbKSF4Blkw8GjPPEojseiI4/Azks+L6NQWvNAHhzHXTa2wvgvlZsL4Htm8Kv8+SkfsWT9j5SNxfRM6b0h+NV2D+zDG9/ADEuw13pwXf3L/gr9evMX1OmJ5HAqUcKUjZQYLA8cLE/tinn9oIgA048jauHZ128PJfcP3xNbmqkOuGLGAmKQaEpkgvuHWizSGTpkgvzNzn58IaE8EvEUb7HVE4Qx0a+9DWQxr0VJgS5JkqjGIHkiajCqkaMoFfOH3M4Ho1uP2RBV4j2LMPdg0YHd0BuXHodfd37A3tODldAl8sqMxnC65fOBZ+MRtk9ZRGW3UqchdMEbA1hqArvvqGF+wOsF0SwBid/ZBIVgsGp/9MAQCdsnQF+KH8zOAO0i4IAozuFelodCXdplhPaWSvPYP9iu7o/bQ0K7BTEPYx7TQX5/uLLXyrd9XAXn3eQ3cM4M5Ji4L29sR7WwtbTIgMOqfDMEZvVj80do6STFNfSwjWkN2TOGjIF9JK05UqkT7GN/L+O9RytNVp5rRbcBBoCTyx4U63B1+ihrZ4XeKO6eDJIlk2PpPRm7xvaAPQEpHcUBW6ko48ahVtrdi6gU23jycDXnpLRDdbFzx4jfC549uFSkT3drIf9h6A7inYXq/ZdhT7HkQIP4+HB9dmPUQ0e/5QwKTbIY376J9NK+l0bKegQRzR28d7ahQs7dSZHmw5ymaButeeecBPSX2jIc4WXM3K3oFJoVMDkiJODTFVaBM0JYW0HRQIVFXU6LVSdDb6AZhp/KRnJ8Z6lxxtL9eRQCn1lwEvABGBtAaR22MgnBfkSOV1vWPRTNhnHXWsC9cV8BYzLQgkVDIiVBFfNnhLHpa2VPYAxq2tbImiKkn53JKDsQZGawx+X+u2XEMgKu9o3o6S7urWve7a2784al+FIhaL9vv3hGYf0n0CpY+xBT37QMj39I69wbIAH6Pbse+t4DzRJk5VlI4SaZUeXEkDsKcR+1kmIIK7KyNw6rzXzNOZpOEMQbvD1nYOWA8unGraa2H15tz02vKW6aj4/HvtqUai5eVOUWeFnArSVBCCIgTFBuYoNCuqRrSNqADEhKiMQjfYPhGh0EaTmiqAsY7CIqy1O07Q40TbuVKDgjbU7K2XnoRAZ22/zi05oxIRss2biYClq97S5mS3HiJjl3RVpGcqEruwT16M6p/GOe1tejwZODQqvGaTKObrILodqPZf5wAXEAzCcztemzG2IufVrukLEVUyitym8890ZTKfJVQ7xpzy3tYHYz+EYS6Imoih0ejU1Fvfwtb763PD7IQ0Co+2qCiutNzHwqjLAly+Muf/vLPNsO81m1/ddi/09XSm/e1orJd6YXcfjegbQRivd5ROidWATkWXxkRlzb7vmfRhHbsOhGtukNNtEjwm/j2lCr0TaBW0kKCGWiIIojF6nB0Es4vOjuv0Vxf+m2hTkeMt4yYA7TB1FFdag1xWpOcLpAzHtZwitreTCamOcQ+Fz00tESalwtVKNgoAFaSX0GnIdeZ8Tp8ZlOZzY7ssE33SCKz3nKMljLU1fxx9UcMm1FYpXN/xGncCSIKXH2JfV96ZwhN71c/XNMSd5p+DUaI5VtEU+LdPCR/me+hLwmwCob4m8pNAHr3GlQHdy88nvERFXEJParSZ4yMNNyBd2CWNOE7GirGSFkeu5x8TRIHz98Dlm4Ryp5CXBDF9m7Cytrsc7c879DFjXTK6NoXTnZ3Jl858XUuCulnrNis7YSzAsh4jsyGsDEjFfUYLIDXzWAmLIP925nO/M6DJgnE8bHj/1TO2GvH04Q7YAsqJfaY1KzSzlVU5MaEmG1BfMs4APkf6Nus7jncyUb89g6Q/8yKotm68xVqxwD+dgVAb0VtjttQ5YKv/svD1v4+68vOCcNnQThNwl4GNQRsA1GMavdIiqWnTpwWyNYTzAtkK2v0B9W6mgfLejhPpcrJV1hiasyY5QR5oPV3BNFwa4vPKjW6Z7fL2CD1Yu56ldENAWlsCUkBYKrLR3aq1KNkLIyWT/K9O39lTc00YoyvKOife6bxtGFs32DxMxESnaKinj9dBWTW6dpsSNA/RnXgVoFlNi1GB3CHfjhzXfb2n13E4Zc5rNcUzA36YN0W4bmwzEwCEgKYJeCC9Lj9R6GQveEXKqD2rBZyD1m19hZ+NDj5ThMRRGadfsrUHD8ztQVHfFAZP+4UvCiRAQ0NT66llCs8tgoJMlZnU5S0LPfvceIDrQVMK2O5JDZw+r0hfLsZAMCezEBHQwwSdUneQdF/rNVkfzKVCD4JmAbHTiCFU4UyXinguPbgCwDF+1YLn5vJEzLJZ714rADzQqeuiSu7smXMLGRk2qoZbkHtduV5yAhAhW2WSJIaOGEkFktFd1eqxQgVc6Tm8rkN1w+jPtBkTIxlqJjsHzRIYTmUGdkEBYIei9FoxMZq216C3maIve2VurhcZGdWVzpAGoJy4cPILAx4NAnFxszISDlKViHAUoABhUQTRrhrotHO/Rybi2k1LkP4IcfRJXe/ZTsDHieuajoM/dz0q2j3XeUgNEhXTVJATJfhrDShCWl+b+CFtJs1NKoNMV3n3IEBDRMgBaMMh5NZRK3swLYK19DWGpkAyBkIIxhrZOWsikOcz4nWBvLu3diD7JAtG8sKCIW8Hwl7YzPKGQPQhPtHhaiequwdrf+RetMaI+mYe//ayQefIBF8DKclt2EcP4BECP1MAWayt1C6YFIP+gwnBhI1oEQVipGfSXZW810FVF6/ZUfG9VhzusBs6Ye/xAHXPCNI0GBJ7xXQAvR2KpoEOu8qsUyLFHMEeTIj2xM4QV6P4DG1iGEGvVQEEW7dha9YiKbCuKwjrnoshmMbecSTbUad0rd2Z4nqnYIirpUI9kCIyWA/aHVqdG+7uFxwnnudN6fxvOaGWgC1koAi2mqCZjlu0Mh+29iFtL1RFvCqijlrpVhXxEiCboN5NqIeEeC1In3Frs60EBTFC54S201iAgGKXS7GEspiD6cFu6wFpKNpbpbUoKEbXDqti+ryg3E9Y3zAJOn9siC+r9Z6PXMsuPmXlHKE0xEsDjgHlyDKv488rZGvYHjLPfbEkU7QWZG6WEtkN6bKhbbHXmvv+PApZCS2iJ33johY8NuSXgnYNCIveBKLXryLWe+nf0+2JAvm6Q2R9nDrDxdhy3fabErs4m0Xs7G7AZPvImQ+B952tpcv5e0HcgPxb+kY9IR4cXfZaXEG6mgjXQ8Z6H8b5r+P8AWDUWGVvzqqYv9BZ9l7p5RCwvA0Eq4zhQ30QIdV+EmObKRk4UwNSQ5orTqfF1vY4p0QU81RwnDeUFnBJM1oRrIXoVbwKypVJg/zIMfTj3jNs+Wy1pE1R58hSnepnNHvXKwBYuU+4FJYmvVxQ//H3KLsgd3sIuP4mYHsDhIVnJBS9d+31a0W5b4hnChztE1/5iWNaJwZjcQWOvyeSOn+piNeKuEZI88QX17e3vLn7neD0+4blreAa+f75s9XcXqmmu92Rjltn0mqhwOEDcPiZ67McYLR2Cz7fc10cfhbc/z17257/BB2lzy+G3LfZBFNHEgcCTJ+pFL3esy2UBiCdc3deNDBh51h4qGAkaHa498SuTBpVq+GtyqB5ewukZ8H93ylqFnz5v1XIuxX6eUL+Etjn/RFA4POyzzrBHM8jx6ugfkL37YicEzENK8V0uRakt0Fz+1IPFrMcaOTUEvikXKuzu4HA+5XMhMLdf2Wrpo//T4HcV+jHiPQcUN8p/t9/8t/weTvi//PyP7L2903lHogNKVdcn2dsH2fqCGwAHiOKAk/hAK1E5dNJMH+gz9Zr9c2+SPMYh358sd7A2wOT/MffVuSnYsw++l3X9xFl2yX5/4nrj6crv3LYVaz4flczy7YFsEzILggBbhwIFVAVEaBTtnN8+WHuYLdhoIGbDJcX5bPPIQ8U75G6RzP2lCi1jKTf78hSWrDblA7Xpl1xr9cE+27wYbBn89Yvahh7iIrmNRqboQd7pedoltnrLoogmDCGChiYwxwsPySALh7gdc8UKuGiZqaSwZ47U+MLLZCLFkyJZ6lDR/NCMWrdDmX7Rc/WSNGKHhAJSF2P3OS9CbWpqHVp811t0pj8tmuHYIewNSgvRwZU7mT7xt6jG14jzaArm1FqPCQteVGPCVLnfv/dsW2Na8fqB7FukF2/OehAY9WRcRkCF2Fr8Ebvvg66cFjVV8Inu4C+U00Hguzzw3VtQYwH7aoQiAXweuv8e22YMIBBjAxodpTW3r7AayIrDScRKpsrpyTf+ubjuexPY5DxM/f/5jVGoNMjDZ1+5Zcnim5E1QRQOANj95WCLsqxvwevfxyv29HCYJlxmwenXQMW+EaBbrzXjrCE3SFmjAtHezo1GLZuPSjOLmxk92/rus3aBdQgQJsaJCkkNsTUIEERY0MMDWrOt6qQdtTogO3ZDw1CGwIZtf3+42IpGHYtbERsNAZOR0dCDRFz2nIpwI7e1tek21EXheqlCH2Dmo3WnliUKcBWAnqbG1933rrN16t/jtGPXGyPKuAmtAETWRLpDrtI64c0gD6/NoAdUbq91+GgePKlU9A37cHqzdpu4x59vtnGzQJPG0tpMJQbHTX1faFl2CS/vzG+9l1Gz+xrzlp3eBDhcyoy5nbvwGtXqrfPNgEcNTvcn78qJCrPlcjgvrc02z2/n9cevAMwJFK6PXe0mf/GP+usJorCABdTQwjjfAsCRFFoqlRwrwIpoT9fiwxu91RTQMg6VjuL+3lhysKWDGbf48gk+87OhmUji8HWn9fpAxSd4u9clHLUR7rN3q8td2wDFHGTPl4tx+EL9EDPbLlrFdgajwtttreR84RiFxpyZtC13STSu3if27JgtblWQoIqo8bXbboCzRe0+TPNk/ndbqAz5/aUZdcm8HvrAk67M74nMi3+HvX6+0DZ7GaQnijp61Ep8uTjBSXaK2Ukzv2e/P58fgDtzIX+PTvf0vtidz/OP0cdCZR+zlHrAP3ccBvOMnpBFadrez2l9txyU9aOixj6HytiGM9VVUjJtzY5TCLRtrUE1KNgr6U22CSWEBEmPEdpCoPOdB49uNHIDGlICIcJcjzyHD+Pz40r0C4mZrbt7Lid+b1llbHjGBRZ0mAbokw+RqIYYq51+AH9OYwoR2YH2QqOkO7L1gYbknOTn00TJLLW10ElnxNYghLGUPBWfNwXjvTqOBcxPt9rkIcSvdy+Tsd62c9Jtfg3XegnQUw8rcHABttfK1kIvt/3Nd8QQLOiHLnnJ1sXHRGunIPeTnUbtd8advdj9+8IswsFuoZDNQX7zrrrftLY70TmTQwtAZqoEXL5hv3BUQTtJUF0AHhP5YDH9YhWpbNhRNB9mJAb6kk7kKkBQG44Hja0GiFK0KzcGSJvayFUJl4Au/dTQ7mLWBd+R1y4lrY7QZ1yL4tkx4pfEHP+4PXHI7kx9poApzs1b+kAyzwtjQ9zQ0kUtrGIg/qpElAj0YWwVqDV3QQL1GqY4suK+AL0wDV4u5oINYibis/bQLZEhtpuAHofRKeImJpoDNIDMqd1pAs3s2fmGUhRPOpGodED2ELK0ut2SAA6nbgr+8YAF8dhzUqFLMxSxmdS8srbGeU+QkpDfqzMNJ0iNJBZ4EIh0oD1PmB9Kz3TNDJPjTTsXovBg7bcT6jzaCMklTRy1kw7iq4A0qCDez3ezrLVY8LyPhONMKGMXscSAI1UUiwPjdTkfQDlbWsEQFD25xKibCE2lCliDRmoQgGDTWwtDdqqq9UBivU+sc5nZa0ZYLWSkZlb+caaz1/o6MRDYk3gZaOgyfMF7aef0douyK2lIwNhLR1NqscMBFjbHsUQOlLWyxndfu9gdZqySG9zpCkAicIA3QG6bJ2SuQ9+YbWjrFFsN/MAgO01doyF/r5A9MGTBBoFaVGkBZ1ZAFjyQEYg2imMngzaOdVubH1N+f7YHyBeWykebAr3556eD3PcYI5LqNqz66xZ5Bx2ASirl9o7igwmmaTp/Yg3OgQtR2u5YYJFIgiG0tUD2SaxKiIMyV52JQ4Kzo+JrnjLh83EKcpRrEXKyKSWhwokhUwVISnibj3PU+kOUQwNumZsKhT+KgLZiGLVSSAHc0Ss/JROgIxgyJOGdcwd7VDsh0K88v/jJfZeq85sac8vaOUy5kEC1+RhggZrH9UU8WXhwX7MQ/gvCmRtHa1Vd/j3Ntvp0xcybfy80BB6DW3YKlCEZSmtAYjDsSsBCNrbZYizUip/9v1nUTlvQEQFhjMOQ/59rGwdeysPF7bytSsKQ7p8r4QejPc6bdujogA2IIJOZ7yYA1o5bm2KqLsWZ8DYF44ceUDBtmFEqtxx12hryyj/Y54E3n82VGWrpqqAsB2ERsF2CDb/nHO5MjqPV+B1eZCLyMWrPXsAtocErytviShuOXIveolJe7shTo0J3CoImevbKbSlhh4IpNiQU0UpEeE59jpMjaw9qwdm7icbF7J+BNNnDwTNwUts8VRPqaOk9RBYtoJxFk6fF8THK7AVyPMZ0pY+fNNPZ6Qwdf8hWbC83dNHmD4XxCtbutWZNjRsyrnetYHb3k7GpPIABQxup4A6x54oCJvi8HEjCpcDy7oqS1sgQDlG4BAxPW6YXlbzZwKDdytR8npNPm/meiycq/U+dpTVg1KvgfQAsRwF5UAqczJ0Ni48o+ISEQ6C/KI4/rwxIX2McMEiqUDbsbjg7Bxxu8tz/6aefeMe2e4purUP+EMBVHSsYWsdAxi6d0cUzgU+49IswLBk9RR6YiIuHPv8TJu93UX2Eq3G0tmdV/zsiOm5IT8xKpmBXkusUTo9uU2DotxOrdcoahW0ErAsCSFot+fvjlc85AWXkvG8TVhLRFsisHH9tKQINn51Yn2oWHAXFgY33iatHGljlze8n3pksJ1egNNPAXFV5KeKsClankgrnyNijKQr/+cxTcefG44/jwCsJWHpDAT5iX3O48qgIi6K+bNR4V1X4ghLJDGBEAHES0F8XJCWmYkRoDMK0ucRdL38qfRWlNKAM6iFMH2hcBXXjiI/Cb7+3ykm9+P/knH904r5x4i735lpn7nejr8n5Xm7E1y/saS2KbOzF68Y+su154HX8r5Bc0N+SZgePQYA29YYBT8+U+OlJ5az1SmDaOfhY8P1q4Dr17bu7XCJKxA+RCa2s5ofYPoJRdCuEfFhQ/664PrTEYcPiT4ROz0SxbQzKl3Ihrl8771p0cVGm8UlcqSuz/yFTJxyFGwnItP1rQkRfpoILppfguA2QXD6Pcf+8o1gfQdcv2lo//YFpUSkvzki/Zyxvm0obyoCgH/34QdctwQ9k26tE8+iGBsOuQAn4PnbyDO8CkQF9+8u+H/98Lf4dx9/wJf/cETYgJc/r9CHAiwRsgSkF8HpH4V6E9+sePP+jMfTCeu7jPmngHf/mW1HH/8yoNwp8pdAqradA2X9l0W5f3yQu89Se/BjmTYoutgGYAuj//+rG9TxGo0BKjuBaK+/8vd4HaMFHRoBpISOhgEIq9U4ugBLRw5ef6//ZzwHHY/h1Id1l523olZHLLrq8y7jKCam0p/b6iMdjZO9wJbfhtfwFEFQBkGs0dTurAV1FDvsslH8933GstcSwJyx2xhooOiGkFAAiM4VzFlzxWFHVhwxvKlv3gVXkh0mG5k6r09k/yvbpHNjZN4sK9QAeCNpwNppMCCQoAYqNVTL0Gkm5ZRogs1REEgEPCatk2XbRFE2Oq3NaHowMYFoxjEEkz6PrBeUTYDW0NYNWodT1NetZ/YLn8n7z+4FpLTXO1mgtaub/YXqp+7WntgkmxNNlLRBYUkjR2pha7/P763z2wNjq89jixbZrU90QaOeBd/XbRuy6VQS3Tv4zZ8L8NYvrCfaOfH+LP6/+/Wzy6bKzhaoIWcdFTGRDc8c79GHPeqmv/K7X708sQQGeAgKcZTc6+R1fFZHmeFTafe3y6YyOYEd4kqlw5YA5AbJDTGT0sNpEisFbzuzKX1ZqQL7tjhkCqCzNsQcjX1v6k4H3KHLnkn2DG4oFLELq63LYrZVBK5Ou7/UaxgBBpPW3gpNoTn22h61f+817T6n3b6AaG6wuffExK/ZfmXQ3QPH11ewZ3UWSTD7EdQ8LBsj2297kUBVjDpaHSipJ3F87e9pjkJawc3vALezds7tnGeO1djTYmJ4bhcdjd1ffX35uWnIjKOI0oBmi3+gaGJokP8dfezRdrX/hlT0jL6O75M+MHbPwd5v5RuhAU2GkBDVlDF+sgW4c0M+bpjngnVNqDUgxoaca1dHripI9v8iTOqIDLYUgMG+CMqWVQkU7ZqGs0mmhPSa0DYLsMHKaGwM8m5+q/kRgWqcWgq0DMaCbIXigrYHQm2dBebDs7cBfa53ZUjNzs5Byd3Zs70tszXjib1mbDdtYwJdF2HUEku3+d0u153dC+5PYCCQ5g68VnjurBu3WeridbtntfVGIUmrfau2AfZm/RX1vn+F2UZnY3grqrFmMdbs7p4c4QTQ1XdLht2fjtd6kqMH1nsk1+/bzrIy7Ezv++smKrh/IjvWi+9nQXMGja3zNlFHgX6Y2RCzI6S/84MJxCuC3NrSm/Hb2RLW9fL/4xVwtL37ThZg1ondKeoMFBPMc9G3dJEhySEC2QLCnKBh9A8dSQUibc3Gy8fEuwfs9QicTTHGadRRu03wJOfNnPpjWuJxT5/V/XP7NjHqeaesrm1o6pgK8Ws718XOgN4ia19Cs2cJOluGiSfaueY1t5H2pucOf2WO+vj5P/l6TbfieGEbCDSM0dVR5gaWMooi54KrtbByPyzsvts1AETRWTFxlT5ffn+aRtJTzG/3eSQjTcczyBgHj2n8POjsgtzw7v6C85pxxXEAenOFBMVlzdi2aL4Jv9dZOqUGqArCXGlvrxGo3At3acEUK7yWX48N892KRWfAtBh8zkJuOE4bLoeCbWPLU3bMEdSJKHhYpHfogaAztv65648Xnlq3TjuSEBB6sGN/WLCnycV0aGi5sRqwbghiwc4OYdU5QhERLhtglNn2qu+pvCxEaY8zi/Pd8AN03Ex5Tu+ONO5TMnqptV4Av7NNiVlLF/kxVKtTXDyYKorQKKkdjHZSj7EbEWw6NmoUlHtyuX5Bq3F1TUVH9MohsiGziQep2P1GYe2wUaaZKW3IT3Rol3cJdXKESy3DwwU/PbP+JGytO6CuSKbWPN4Fi+JC5LkHsCKop4noSUd+BoWr5cjNfEyoh9Cpm6RLjaDBg4KWQAQ3N8SpoS4RTjORanWhdsXYWL+1RSyXTDTn6v3wAJ0U2z2GQqDNU7CG1OlMteqWgOvXtp72RrKylqIla4NgVJOcA9IhI6kifJo5j0u/qbHoPWnSAFlq1/AAmFzBQqSQyBZ6gCBbAWqF00E1SK+1JRsBFvQbyitM7Igq1NEjDyDcIcvSf3dDh7S9t++v7AiRZ9qdFtUPXqM+7p2F3nbHt51/RfNgYljRnlhxKrXqL5wiMeS5t5QRocpkEHjfvxEUm63IrDOrlShuKLvP68EKRu15I4MEDZwDDyIMAUQi4uDBXnrZOnLignXtwPmWzexXDp3qN0R+dgdrMgXF9wUhV8yHgpQqplQwpYplS7gstAfLliAClBJI3ezrCkSLhy8LmYHSB92W4iL9sA8b+j7q1CixA7NQCM3/DqQ+PqKKVBXx4R5SM+A9Ek8zMGUGs7UiPJLyKRduhBDZpkhTQMtEKPWQiahfqa5803vc1+vd4TYH0VgrLO6sikCuG2Qr0Na68KijtXGriOKJKKqJlzcH2ienlLvQT2fpANlEDr0+sK9dT0yBf7pj7/vFqc6uJ4FGlGPv1Elpoz9wsrr0GoCq0NB6UjPu95CvQ4W1O3JxF2omeKLS6YMhGM3Vj7XYyQ4jGePr3JHxokDZKeMb+8ZLd9qcUOfY9yEAwNH5YAFuQq+Bb6a4W2ciMvWo0PcrYm54uLtiShVnUUNt0QNcr4EtIFUZaAjCs7MddQSnAoSrIBmisd1zDbfJkhWsYzJ6IG2U7wFP5BAZ4Tg5nbhNAWGOkC3S7u7V8lOEzrmvYxdMzM98jdczS7EzvWl3wFsO3Y9pWayN3aCQOrVdSmNsdFXzI1in6y3h6n3C+sA9FBeyxda3E+Qh/yJpuKcK37ICGGhMTw15R1Fthkjys7UjhL6mt5OxQVrqCZ5gKsnXrycynV4qQm3Y7lKvHT58aET5T3Y2WYCUzpWaCL2Uh+i0C2vlMzoNGfBAyoSPJj6T95JNV9qNfCGCGzp7bNSw7/dg6kEi/3F6JIS9PmS0t4EtfK4NUEeCLXj8arQglCRY3kYLJkGkc1/yF0n3D7khxIrWAtpmDEJsqE3w4eWED2CPHVVBbQHxbkMrAXjMxtCBBa2KYqhbmyLrR5+FlN1qqKQYE878nLhwP16+Nd0Da9/Wk5kWiMguafn8m4C5ho52e5LcS9nCI8ft5U8Czn/RkM5kVMZ1BNzlzsTkDlZSsAEaj0iXA65fUTTJ2VYqfK2KPUNmcJKfydI4fGSpxOFzRXquCCXTz1Hg818yOJ+/ANNTYpLPkrbxTPu53RvluSuA+9yP/dGyoh1ZguCBfHoOaIm26/wD62DLnUI2ochVAdZ3iuu3DCz9+9KF9qecgHMMXZXY92Qvg2noqsN1Vpz/zOzHJkifE+oW8HRJkC1geU+GwfyRe7PckZ683QPXr5nckcqWRI6yu25Cm4DrN9zL231AugSks2J6UuRnIP2UoUnH3kqwzxvicY9/RdtKBwtAAD5+uYOqoHxTsL0X3H33gj95+4jPlyM+P55QS4CoAFFxfFjw/dsn/O7jW3z53VtoVsxfXxAOist6hFwDzucZ/+HL99hawPaXF2gNONyt9OsfE+5+S9Gw9Z0JhynwskyIqQFvFpRPyeyEYnoMXVU6bHYWTcP//+euPx7JbQ1Qq3vZCsKWbgLRTqd0hxroaChqg5QKDXR2vN8hnUgeasHRBkQGAoJbNNaUQz04Hqq14A4IsTsAbaYqc7zs6KNNINkl8C0jUlgz57Ua3jQ9GRXZ2x8gMZMsTVn4b30imQUb/e1e9/SVKtbDcCAIuhsftAYJgXU3VpMjS0XvyVsVoVawlQS6zDaEWex4xeiruZpjD8CRdVLdwjgwC6nJ8WW1oCPY4U/xq7g0hFrRM83gHGgiTWx98HomfkfPTingaJRG1rSExFqtKg43jdeqJaCCcf23NUHXQKU3azbdZh6ymIG6y9TRCbBN2wLyM4yWs/t3cx5RmEkvRovz+pDg9Kc5s38othHk/srl/WihVkcabO6WAs0JOkWOk6P4qlyvYSBl/n7umYH234hw+Xf5j3+XeCZXfnG4OR1+oEVMJNy02rL42JHCnvXezFnx9Yxf3g+8Zi3tggUdnw3ghs3Q92d1h7H1da6vPppIQOMwWQLN6Zz7XpaA7yl0B7MjbR0lsnG1NjUqYz04EwSNwa5OCVUiJALVxIFi4cJxlfhRL8Vhd0dAA9GtfNyQcsVxXpFjwyEVzLHgiwouC7+uWvazlohWhM5T8OBKmTQxE9cy0FuuZHOyvZ5lpYDQLy53GI2zy+CBNk5klCbEOQLzdCuKFiPUyj/Cpkwi1gpsxn3cCteuCPvxAtAYybqolSIdsLUP9PWq1m6r9ylvGAiwGL2iVvt8QVjiWKAA4HWMpULWDcBsvXADQpCbgGAgVK64rZB9TeDrBWd2UXxTAETahNQrM2Pw+uRfIHSBCNBelM+RZt4z90+vK/ZgKESewJaNl27H3B7dJjdGvRfns6N2FjCjjUDaBWr4fvvepUJqhaQA0jWAvZ6Fo+UDrdn9aQJHLQFtapgOBdNUcMwFOVbUFrB3J/yoIHtBUAF4P2oRZX9oeAJSEZbYg9Y6G4PBgty6jBZ0zWrkWtpl9eFjJWNOxJWmgzGtdKwl2Jmeo52DY17i0m6Tc6o9cPOxkiRMqtu5DbXyBmcyBLfHu3kQQT1wD/TepyKmyqxd6bcerOypuOo3zFbuFm3TUb1i6y0ufI0LpUlCb0+4R8hEgS3EUcc3h97S0Md/O9Ehnj6zfQ3uElqCtTbamPCb2I7RmQPRWkF2xkYQwIADBgLaE0e+vpkQMHQ+jvMn9r7y2lXC/9Dl/ksvo6lq4nYNcY4QtfIVAy00jprYNguyzW9Q3K5zEw3cI4nUU6jIuWJdKBYINKiVmqwlkoofBtKVc0UNDVswdSkB1W8TIAe21mrgvUiLHblzQKjrLyg6wlYPapRtUn+7fQi7M9iu7UEtMBCrvzUW0ELbwZI2xXMM0K82bFNC+RBN6MuTOgy01YAKKcB1MxGtO3TVZteg4N8Vaii4bJFU3Ku1cLoq8mNFOm9oc8B2YpC3vOezHH/P1jrrfcD2wN/FbRdIR3RKfmcE+L42GwnzN6WRwxYsKUZNATU7pgiNPXrDBly/Bdq7An2JkBLgasZo6CyWG/EpQ0WDlU/Rf7MA7C17ZaWfMunIEuh6V2FrJnumfNHeTqdNwPaGyZh0YemSdwVgQlutm4ONrQTUI8+d8FlZkvMi3Z9rO5aZ6zzUAJRvNhweFlyfJ+BCakxZEhAU6W5DiA2/efsF/+rhA/5j+w4fyj10C8YAAo7ziu9PT/j7D28xf4woJ0X8rmHOBRccgQbULeDTlX3Kvnr/4mYLrQWEq+DwQbG+EfYYNnXsbYvGBGp4mcwmNUs0YCDdMAR/j7L/U9cfLzx1WYD7A3TKrJl159oVNN2wlTYOcVUGW+6UWx9TRQTsEJOl9Pftacri9CuAEupTIiXJDyD//ABma1Ng9lRBlWWn/4gfcjx4vCZXFCOI1mGM93Ud+96i0TKE/D3gjbpZ58LAtIs9YPfZftkzxUtB2EJHKbCnZ/vlFChzRlokguvZ2rg0yES66l6ogdSS0PukArfOgR8QLm7FF/D+PSAJawWCoM2711SF10SqHZIQwXoXjNYG1hhGGju1HlytUZgKc2MQW9354cculzwQXEe6xA5OsUmu1pA6sl5GBcDE5MQimbWZanMhw2HKT6a4F7x2UTE90xGIS+s9McP7dwhlBl7sWaOtbXe8+3qzNR7dyZS+D5zexvcHaAsQb1P0mq4eAjRGYEfT77TjvlYEN7W9+0ELr5wB1VEjGTwI932k1q2J9MBOgbZbDdsuOE1jL/BFu3Wz0Svqt+iJpZ3TGNbak1bwe6hEtsRpfdHurwHBbsbr1tyQjVYv6EhkP+ScZWD0wr1D2oXtBETuLYmgQYCdkrYj6Mx2yo1D1uv3mwU/OhyQOlvN5MRAt1rmZY0JrTWsJQKYcV0z1iVxvF8FWVoCioL1LEbfcoqcJkE72vyaCnabQ6/dDZuMg15Z3+PtIQCiBuu9WL1XQ3TKZeX86XWBbrteacsKOdIWu24CUoQ4kyEEsJVbRj1lIilbRVdABijM5gmOBrBfc+nzDdNPwMH3tiWCKhX1kXfBkquIB2Ww6ftPhD101yEgRLYQhbYcde2qpIWCcWxBZ5oFhlS1GHrdbGe6dDaEIlqQQ1aD3xPMWbYkzF6BW0CU2xK1fT9snhQIUKdk+hCUhoBgdcJ0gKjqi4HImYMaF1P8VtyupYCbQMNLaXrQ790HLBgiU8L+cWePXvdDliKsOTYl0dYE2gSlRLwsE1JsuG7JHPyGGBtaC1iXjNaYUBQAEhpCUJSy4y+CwW89tqFAPDXamcg9sKRRFyt2Jsdo69ycuHiVUVYULBDOPPvDnBGOR+6tT/6lArTW61Y9ed7n01TA2zGjOgvNkMR4KYgASstMvK2Ndf5WYgEAEmlrWgpox3TLAHBBMGULQSKhDETbFHqy2G2aJzscGQ2WfGQi3WyRDiqi6C0K2ZIYo5+vFVXMT63vC8DGFCNJKAW9Ft3R1LBZ+y5rvTjaJ0qv02e/7A1SFfmlIKyjp2/wOmFxFEY6chuvVDuXyjrc3h5uMpvt5TaVdHoXtWqWaOf65u/zIxCV9Z1UD9fd2UZ7kEx/QkVw/SabKBf6uEkT+gxHaivEQ+lrG+A5EDJZXKqCqoJti6iFDDW1hJNY2y6KXzZoEUgUtENDSAoRRQu0Z+VEW+T11K670MW/FKSCbqNm3Vl8oXCv17sJbZe0TM/CmMCCxHq0z1RFa8a+83X5MRt6OFTnQ7V2Ye7j9pngZxx/pPbL8lbw8huitfe/JRr6/BcB1+/Ljt4PLG8DylGJWG/VbBD/PRqgEKxlj6sEt84mUWzvG3RuiI8R+cnQ2dnHiMmZ408C/ZBRD8DluwYpgsNH+ouX7xTbO/aRnn8i0lsOAA4MVtPPGWEhihoqkJ65prY3XB/hwnVKv57zyrZBo0wvVEH4nPuaZGLFBq+hn9mXb9h9JD8p7v4B2O6AsHhLINieB3DieLn4VbwIk+OGj6SL4vjTCqkZL4ikYTsrqBJhBkxALANyibjqDGxkR2pShKlimgr+8psPeJOv+Lic8H98+gGfLwf2e64CWUdCZQoFKTWUmZN7/njCOXHdtVMDloif/vEt4rHgT7/+gmPacEwbgjT87//DjE/hhJYb2l0lS6IGrNeMPFPPod1XfPw3HMPrdw1tbph/jsiPtMHpDMg/AUDtrz8+yH15gb59j3Y/w6kzRDYLA4FEZEC03qBRN/VLtUFRLGFFx1OuZTj0HQWyxWJGod5laGZ/xbjUHjwP5eZARz9HoDbEx4UO9pygkdShekx0DrcGbHSEPQM66jBx83fWSgQGRldzXNIIJgTag0Pv+blXFuxCQr2mpiE+LfA2Pjq9mhbPDtt7WwxdjCJ2YQYeQlAqOQ/aMehUgodWdxb6YVYZjAvQDiYuZWqpYSkUDLP71BxQT6Qph4V9OINRk4NxLFumbL0LTrEZuzntkUFVKyB6lRqd+zX0zaMqLHBfQg+O+5j584AGLazgIZ8bZGo43S+YUsHzfMDykIElID9GKIDylocVkHohP8WKBHGtFHFYKtG+GFC/uketGfitfV+KI1CrDb0JmVGLRbnOkbjmel1ev3dDbz1YeJ3AiML37gPFeBsMi2gPpPsPYHtut6bs/U6P45txs5Y73bgKa5qd0rujN/L9gUHxq16RQZU00X1s3R0so256LWcIgB0I+z3AWmMZzpcFRb5f9hTTdGnjhBUADb21Tw8UdskoD0iQB8XY6U0C3NbMWQsv2SqwbKPm1Bklu3IDxRjzOolRuBR1Uu7NlQJJIbJNxbZFtErEVp2i74mbTMVlLdIPHKkW+MTWqf0plxtQs5TIfbSRMue17cz8Bh5Kgn7otmjIzDNpap6Flq1Czxfo6pkcQM9n4P4tJzWELvansEPbdA5aCih3kVnqJ+0ILcezgvR47Wi5eD/u4wRNbBujuwUhCuiUiOzb2lZHgEUgyYO2sX7CeeP3LBXSGtqc0Y5U57B2ziNYbYrQFCUK6hQhTTF/rAjnDfpuxnaXDOXQm8DREz5e4sJ7YjDN9njBWAJ+NhgTad+KyvaUC63Vu/xL5eOqQK2knEXpe0Hm0bbFUZe41I4O3pwrALUozH73hIKVEElpFGFSrokA9Pd3NpGzCPqeGgIpPZNemahEVVyWTJNYArP0sfLvNaBcU09g9kkW9PW6H2c9NOBQEaIiZTo6FKwClmPG9hB770YpnqCUjsrkIMjPZv6CoMESRFPkuXY6/P95+5OeyZYkSxA7oqp3MPsmd39zREbk2FWVKzYJNkj2qrnggn+ndrWsVf0BAvwJBPonECDAbgLsRbPRU3UxKyuHyIyIfJM/d/8GM7uDqgoXR0TvNX8vByAKNMCfP/8Gs3v1ioqKHDlyBLprcyAwrlQXh/utCHGfMGXINLPqffC+GG7CcF4MhD9SsG6uCOcFDViMbDyUyhEw8wPXP83VKIcbi6p7IUiTzrlRyR1Y9NaNMBvA/CphPQbOuy1kNHkc4MwSHxvoOgmwZ1x2Ffo0VwzvbcTjyOSUFHdAsiJNbJeiKFRE95IRptXaObhu6ZlARDkkVnU7gVpMhBeeffGlIopgvR9I67bZvRqZONVI209nVmv6F64PRQqB9ZZJvdtlKCYuVegLXFMkj14hhVH9tfn0dHa035L5zEpxXCrCXLC86vH8hYt7bXbPMWCKeLu2PvMQtqptCIrYlS2Mq4HMHBOaklWsmmmATVBoD1ZCq0A7Ux8XAjkICr2pqA8rwf2Z7LXumcnZVdXSKnu1s573WVscmu965F2SOzwqojGAykjhuCbSWQmCVgsRxrehgQ1xIQU/LhXTq/767JXtDLn97YLDX/2A83/yKS5f9Igz8On/fEF6+4J8+BzzZ9v+rwlYHpgE3nwTzG9vCV26GIhnQES1FiCNFGOqg2L88oRP7074zddvUJYetVeU+wIUQfeSgBm4+bri8N2K9/9swPIvZuQ5ovtVh/G9YvpMEF8twGXE8VtWxM9fUuSpexH0j2hV4jQpDm8Z4zweI+otk83+WZEHE5fqYOCIsXFsVuzwLmxslMTnD3giTkry9EWFBsWb/zng7tczlvuEdIk2Tonvvd4qAZE1EvwURTpJA9VhSW7/20eovOJiNlBzA0hIk2ehJ74E6EVMT4S21/cZDzcX/J8//7f4g/57/F9/83/Eb79/1RJcVNoht5JgCAVDl7H0BD+7twTy8puMcLtCP/To3wUsbyKOXy74/PCM3xs/4DbOuO1m/OrNJ1gKQdKcI6anAZgiclB0XUF/P+PypwUhVXz26gV9LPiNfo54iRy/9bIJpf5jr9+9J7dnn5mP6WmxdIzXfYzCviUP/jUC0rEKayu3vQ+wUS/DLkHMlVQ+C/TDQkGXNkt3T9Wwao8ndyJgv7AnvqZqvFHo7DLLVuVqdJWdEuVeVdarFRQf2lBSp0i67DnRR088eW1NlCWxx81fbbyHL5sn2o2uRLVK9mui9VTuhR2cwgbwazX676A5yrBs6+Xo9f5ZXVW4vEJtyZBiJ4Ti120U2q0XD80xhiyIF1Z31WizKlTPRfYgVNi0DkAWsbFTQjRfLEmW7abqULGGAO0rwlgawlpqYOUgETV1BE0WBmWtOd/QUkd2vUJTYYGiUfvay2jj6hTXj157tdjWh+jJEejwfNYzv3n9HpLNG7WKmG6JrD+euvu93e87oEGABS1BuEqk7ccFu2Ac0g51dar0/posOG/iWe097P0+Nhv/faPTNRtxgIIlB/6sJUWKyEQP0va8CKCBvWsSt58X3ZJsIr2yfZ5u10ABpmvGgrdLcOTXR8/PKHfce7GBC2qU/NZzGS2ATj4SY59ggwBFFqgG5JhQsqLkwKAlUxjkKrD34NQqw/u+9B1cfhXwt/VRYEVqPb1S6AC8B973X0to69X22YC2j18xMaFbMu/ZEyQDJTUEiLAqnM6FFaXOqMXZnmGzPd3sNHlLw26m8sf7yJO2XbXWARCF0PdrMLDKn93+2uWqbUVBwLGJL9UtoWSbgvnfsPXCOnDjvdlXFFf3cU6BBdB0CtzPuH23vcD7bH7cRAr3IkJNLEusGmfI0ZWoiL93A6MAhf7YD0c7DIC2hvvr9xF9od2nAYwi7RocGKkd7akJubj9FaDMVA5uIid2Hbkk5CUxOFqCgTbaPsPZCOy/18ZcgAAhsVJ2GNZG91QVrDFChGDlXphtq1B74A64CJHsfm5bgN1ixe2aWYWh/+ZcaGtvaIDlbm0BgtC2rnHmeVBvhivfTACRz92FoFylOCwUuirCKqeIq5X7c9uuWwP1AVwAqNF4l9oUb1Wcpgz4WBapinTxc8i+tnoSrD8CRxxUaSOFnCkD7oU6JLjYEPw5fPS7IgCqku3V69VeCFlt1CFbbOIEhJ2mAZV7bR74QD/pGimtSuaV6tZ/z8/3fmPx/eNgZ64UdbLzwP2eBkFBMIqo+3q0ebVNp6LSzh10CCGgOMCj0h53sTanBjjaMxRjPDRgB7Bkl6KE/cDqcAiKai0sABNXsnrQ9vr1s9pspLUwWBW9AWb2ipO5nLDFPPt2n3jhRAH2l/N7642rA0eETNVutr8ZC66wogjYuo69tUvwepb7DtAbVuuzjwKyz60EK8ogWD87ckrJBJuzy/tfD5v/cfDe7THngMvaQaeIdBa22qe4VX4HYD0IutvIRNDdcCemuA2Uc0I3e6VTrdKp6J45g9ZH3LSefwXSmQseJxut1hIdq5JnbynyZ48trgQQZvb5hszijAZBvKDR9Zf7tBWgMqzdjs8lV+6H9Uba+DaNTHapvqyoD0eUwxZfrHeKFWiVXAe8AbSWvXWswC2Li5enETkH/NXlM6wa8TSPtOciBBeLg0CKaenw2/MD5pVtDCJqE09okyJADSbAWYHvXm4xZYLkr7oLptIhhgqUaEWAgNAXaKJIZwgVYn3adQ34/t0doED3nm2IcVGkCdhP+PyHXr97kns8QHIBThP/XjMw9Mif3kFToJjRWlBTpPOrimCjluvYMXmYC2faqUIuuysPHINSD4lVxacLrdYOam8AB8Cvx9AOICmFCcWxRz5GSGUgxnEiYQtgE3uhnFcf1nJVZdYYWjUsZCYg0RKRJloBCqNAFeXQcQi8v3cF0ilfBSjtktP23k2gy6pHraJawXup4GzPQGQ538QWbG9BhlOtPHoy9NYFoSpsfqYinlYizWNCHSMrDV4BCOxFc/BAOw61VzGRFwBtdivQAg4f0wN85EinjYax3hN9D6v3SBgnPwv6D6TqcHQEn2kFE9n4sCCEivWlB1ZBuF9xf3cBFTt5HZelw7zQpLsxY6kbAtw/CqQGOhhhdaJ/VESjwLJ6qJA+ICwF4cMzQtnROI3eJvO6Pb8dXUvHRGqciYq5kBEp3hYQqbKSYhX09r4Aew39vYxiK8vKr6XYbB7YJSnw5FNbgqAmVuW9p8CWoPAiGCzVXtrB5AlHEzESBs+yVETULUAFsFd13vrdcPUKbRSMBdGB1HF11Vivmi4rJEXUNPIzVwNevPq8C8Ra72ELSEKjsgUX5rFERlPYRncYaFZNVCpIZT+82TDvSYGiqLYXtnUmFa5Vla0SUgZBMQS39vzckCnkUljmRjF2gqyCYAhvyIQY1OfnIlBVOirQe5blH472AL3Hq7OxQ10siKJ4fz7grAPqEoEJrWerdrr181iPfqO0VR6cmljhE37AZuaHkc9lWYGHW+T70apJRse0w1IuK/qnC3RIyPcjIIJ4WQFrt9DkoJJVHA9d68ulHykUFQRatVa9V7S6MJ8HswYweeCb2J7S7CVwrWoXUQ6bsI8oKcyy2yehcHQYYEBISPShyuQjvfD8KccOiFv/sooAA5ONOsR2TWGuDRBh71/BfryRf66GgDomnne5YhsTpG3PC4z9odJAHWnzudFaS/aKv7oTICIlMgID/TlZFLvzIQVW5Csrh9oFrMe0gSKW+Bcby7PeoIEMXimDgn2D79MWOFk/OlKFnCO6RwOYDOSlyj5/Rv3CjdpGPjb3TNcVjP2KL+6e0ceCpUQUDVhLxDole0Y7tkMyKvWM9idkE2C0YH+jgxfsNQtqiqSO5godqNdRh4j5Vcdz6o49wnGpiBf35wZwdQNEFfGS0b09o9wNOP+M/Wf9Y7bxYzaeRwTJ5rkTFGLrj5SK+jBivQkWd8RNoMz3v/DsXu6ZYMZVkaaKdCronmbGGVEgPauZpee5GxdW9vpHamysDz3KIOievQ8yYr1N27MFGkNgT1WPM6vFeYxQG8905et1a/PxFpHaR8xvemJRl9qEC+Olcs69PYLe7DYfA9YD/XgZBAUbhd/pstXsD4KmolxGZ9xZtTZs1OZgeyRcMrVMhoj1YYTaeEMHbwAmcG6neWSSUgbTD1kFeNexAnmbCZxfyDKDs8yUsQ0UkM56UO0sUGhLbqXwrMVdwc3DBX3KeHWY0IWCMWakUPDDdIPHy4inlwMwd9ZiIhug0IA0NKpq65+PAqykzeuyxSjjh4IqijxIGykJoPmv4/cV3UtBGQPyIWC5E7z8ApbwSkvi0kkwvFe8/vcLRBXPvzcgH4F8EzB/eYflNsL1TR7/sENcE/IN2wjSi2B4x1irO3PNplcBpy9H9M+Kww8F603A9AmTuHyzicpJpl+Kyq8tLz0+1IDufcThO46gWp/5DNdbJb0XgnJIWO4NeMhCMbvAhLr/ukP/LG3EVToBCIKHv8k4/uaM+ZMRl8+4P7x3/fabgrAolruI5Z4+0hl0nvjPr4HlnvTodJEWF2skhZrXS3q1BopxQRhHPP1+sj1IQODmO8aJL18mrPcci3T+GdtX6kAbe/gPitvfLiiHiKc/usF6s7UslN+f8HB/xvvv7tB937V9KxVN3Gz5quBPf/9r/MW3nyL9L7coQ4f/+/Av8PndC755dw9MkXGEVXBrr0BQXB5H/PvpC67tWFi4cnZkR/V8dGpjowQffvUK7zvF95/f4NXNBVGosr/kiPllAETx6s0JN8OCYoJtOUfoHCGXiOOvA7qTYvig6F8ceQPy+lHr3t/z+t2Fp3aCMo3GuQtONAqrdSHYnEO0gNmDZAm7i9XdoQ38qFrUfsaSjqufrxYwCPv9PNjfKrJodMPtvbYgn5XLnRevYMHUv+RBSd39vL/dviqySzDa9e6TQqBVAn5UTXFBC8jHV8of31fwzNl5Anv9c2hrI7q7niCbaJBXHI1ivb8GH+kiUbZnsL+gIC3o3CP/rjjb1sHWLzBPZ7Cv3lDPe60FbSi5ZBDB6Yz+ERncXmVtYOB/HBYygURRVTjLa4ewbgthTfxeEbGDgnNELelqtmNrpLoJ4+xfH62/z3j+yZf3wv7k98LVe3100dhXfzg+S/ff3QLvf+QlH9tABasYrSzo8ZQAYtUvQ85/NKrHPrvZoFezfqKyfcWvtb0ikJ++Z/ueJwSbSumOMaCeMMDojrsqVti9r1WcfHRSE/36iTUB0Pb0fqzW9oP+Xths3Edh7e0caIGIUwXboZK3QMVZBPDqldk619av3xNvBklBmNSGUNEnJrddLByxtUuK28izav9vlCvO2NWW8F7ZuSr95D/ltV9fX8NSICW2BGtPod+ehVyva1X6mqIbq8H7boGN4SL/wN7xPRoANWER3f0+BNd2Zt9vb6fb+3zcG7/9wkfvIR+dHbqBI/vPd2G1fYK7ty/+v72B7t5s5yvcR9HWrdrZ7sOu2W3Pz0IvArZ9rY1663tHo0DAtSYrZVuD5ms8MAubb2/n2W79xCpN/vWqgNaAMAfOJgUDZbV+XLd7tp8I9seNUzZDqEix4rabkUIF0GMpgKs1t891YM4ruDvbbpXcbAmR9Yf/1KgseNXblO7dV3jPfWNq2BoQUDa/UoGw8y2tMuo+A9IEUv6+l6i2Z62RFcJQ6tbbWwHZBxKK1k/ZKvrFkipnyuxfVeH6jtg9P90xJPx9XazTBdeA3bXLJmZzdf0VwIJrELWtk9vPj+Ot9ru6Pa/995pP8/szEKtdp/8zghVP20ttNrr7fVtjtfds4oEOvASClXv79sRF8i7WqEDJBJBlNS0Qj5wr4xbUXTLuvl4tjnLWQhBIquhTxthldKGgjwVjWpGkog8cvUX3Zffr8Yr6e+7il7Kze1tLTi3Yn7F2Dlj8hbitQwOujfngibO34PxUX3BoYnZos4XDfbTe4O35FQN2wsrP9mtl37wCEnajwfinxbPYztb2b7+fIqhFuD06j1O23yeFn9Xo2muj2rYKvRpI51VaD63s2sJlRVx6ey/dqskXNL+zZ2+14pHr/CRerSv/UouGixKKNtYQVJGsfaIMNlO3ksa8Xas0P8d9BfhopbY/Kppaeh43fy2Bc8n9Ol2g1nu5RQCJbnP0oUEEl/OAt0IhKnGNkCrNRyPYM1hiuy4/v3YmB4heM9OULSxLTkiR536uAVjpU6sKgijmnDDniGVJkCUQJJk2oF7yFveFvZ3/A6/fPckF2kGOGIA0QrtEpL6SylZ7oqSu5EeU2/4u2ObZAluQpAwgwpQbFRo9S94tGFhWqjN7r2QkvagmzlkSBbSLCLONzXBBnXV36SIb8g5Wl4spD/trG4PCcSR7UZzaE8X7GDmOS22f10ZGeHC2e3mflizWk3PsicYXVsrEqla8VjTwwHswHNlv88ySkPZQtYlZeGBVhoh8ZAWYYzfCVbVsC7J2FezIn3VEtg5WjTGqZb4hEltGYH4lzZEA5iwPFnAs3LDd88f3T5U+yUD/REe43nq/Ax2HlABdBuSgQMfNJpbYHrsVnx1eUFVwWRPWNSIvCfWSGhUaoLhFmNEcalgoSpGmiv79grBk5LsB+WBU9uMIrNsm0jUDPaApchTQmllhHftWtQomlvZxQN96PnNlQNUZ40AVMvlE8Mj9o1vw788dbt/+vRigkliVLbgKsglgsHoWAqmzba+lgDrYmJG1QjM2Gq5iU+Xr2V+xn53LC+Ih1+j1tnfchn10TLWkJXi1TuQq1mv3JUOzfX+/dvB624L1l7ZkfWUlVmNAWGmHpQ9A2tG17Do3WihHf2EFr8nHh330kmLjtjzAhwWaGagjDxI1IaA9YyEU9gCGVSA2esCFzuLkIxcMuAHo2IGN/jwoJ9c4lY3RGUSA8bDgq/snpFDRh4yqgud1xJw5l1SrGBWan9M9e2WLaotpVhMzUqRzsTEytIdwXoAYIdIBNn5ELxP0zS10HIAUWJ1V+mGvSJKyK8A4AFEougNsYoNFW2KiQ7JAMAMLaL/F1GVzoWbDoWei6/YRWPn1Z+K0yfYyjYI68mfChFb5bYJMHyXIbexTFxqzIjSqrD2zTljBVRB8Vf+9YNVXBtDpw0wf6ZXp6qrfO+AlmWq4n41AsztPUuqQjPVjWgki7XM2UEdaUZ+0ya2/kj5sY9+QoVIbiOmz6sOSGYQfEs/FhXR02bEwysDzLFsPcHXqZjB6XPCkFWh0vAp0Z2lJuAddXoVslPCgVCNegVh8FBCDNWo1AKFjgnvTL/jj27fopODPnr/AabV2qMjkM85oLAUoWuUjnTc7j1Nhxf55Yf/stEBPF+iOmRMvK8qrAwXHKhDMjx3+bmlJJ4WdONqPlW1u+u5UuKf7wDFWUdA92bPNPLPKgfEOaZK+38Uo6F0b5XX8ejbF1IjcBQw/ZKSniTHTmDj14MIe99KF5mPLbc/1f8nG/OkQRxMhWhgPzJ+N0GDBb2T1SV6lBvA2doCBA/teYAgouOWFCsCq2NKAEFaxCsJaUMaE9bDvB9zAynyITRyq7cdoCVQl9ZAihbpLjunDJFe2mxUT8uo4eqQOm2iSKKtyw4d1S/DMPzizbrlPJobJ9pMyoiUFTlP2uaXRfCgptKyclRthQrQymdNVAFPsjRPPiVy5V8LCSl7tFKsEMhiOGaGvOBxn3A0LRBRFAy454LT2qCo4LT3mtYOq2IgX0oPDaqrENoapDOyhHt9XxMn6i9eKeFoRPpwQ82bny13EuFLg7Pxp5IiaCBszIwAilttNKHR+LcifzQipQr4ekV6kjTMro+D9vxiNksyq6/RZQO0Fh28Fn/6PM6QCy0NC7ajqn49CQTVL9Eh9ZsLSPbOK+eGPE0IGjt/y/L72P4JyANZ7ziyGMsHSLxc8/kyh54TuPUcwDe95rZfPFPPnFj9cIsTPW0vyxPrC59fbOYxKH5jvR5uYwnP+8jkLN9Pr1IT/fN+EF7RzI49UTa4HIn+1p73osUBSxWUZ7BxBoxgf3lWEVbHcBvaoJyBbjHH6WWoxBoCmKi+rQGba6vlzwXI/II9AOfA+8miJ6NcjfvhmxPgY0D8B0xtF+IMzUleQ14iqgj4V/OW7T7DOCfU1QS783YiTDIgukClg4u2CgLsk+3o/+0HiCbCBfDcZv/fVOxzSitPaI9eAeU14KRHn04D0yFjzqTvicumxvh/QPUZ0F0H/xM9f7oDljufwKDuR3Z8qQv3E6z9OkusvEWhisM7guKKmxITJRjh49U+wBaA/1ePYvpaNtiabs230uoU/J9V7Ujh2h4kge3g07AIQUyvcVJ1BwSSAX7Nqs1+rI94eMNOBC0oXTAXR+gaU4jHeNyBVr8WwPED/eFyKV4b3aLNV6CRiq6g6yi9oiYAnHy6WVDsmTyW4OqNsCXYxgSA7IIioBwD1utIlACtLtvk7imbFCsATmeg9ihbwd9Icb75hMBZnvk/tKMgTbB2RxVRDPcDnZ6qh8emi5mwM2bIKg1QGSBBBvq1XCFEQxV2aUVXQRSYINQfrwd12o2Q61n3vkqtUxstKkOHQATBF4hShutsezlDwtcmmFhucjqscFdJQ8v1n1+35mv22XkdPDNJHFM/dZzV2wk+xDQIATwJ8z5tit9ZAQMBADvVnK2ajAEqkFL1g+zyn5tqAy1b153t4H5ijwGj23RLtaPM//T6UQIcL4fheFgT7ntm90Vb5WdLYD/sKWhs/5JG/K93GLWD3IL9Vhu36oR/t//amW5DO9ZUfVWAoNofWu9SquAo0dL2YsIoAgFHlF36tmpou78F+z3vGA1CLcSkMzRVDY7tY8Kq/IIhiCBmrBjyvI4oJoKAK97pVbePMfeTIZ1w479JnwUq2ERtLbuN6rkrShSOCdEzXfslGtUkCmmCYiye50Mnel7fKr0HlSwFKJQ16zbu94IH1brF3FSD6Xt9XaEmkAq1vNiwWcdeN/fCjl6Dt/Wo2bQW79tme1Pi5JO7zBVZZUwOzVgNle/AkdxvYzjNXNeeedD9WNhtUhVgvs7fOAGhMlj3boFWZwpaME5CqUBcDidd7pAFGvr8AaOSs5+gaFLulIqXY+82x9SXK5qs/Zi6EFrDBmDkm9tTZ2tp54p/Fiok0vI4JhlJdM2yshTfphE5KY+gAO1dojJxQ+L5xsaBnsXm2hYm+ZFZl5HQBlpUCU3UDt2QtFGI8RBuVRSAsPk8Up+y71q9dD0xys4Ej6cIbqzEgMAcntRew8xtt/F71diGFqcAaGJci0rkgvizQgUkY9UEq5DLT/Tjwc+E8Vdz2BnAIigRWqk8EK8ISEYMVEaqNGjk46GhrbeB9MNpoi1XKR/7bbE53wn/cH1ZNCtsZqsI4TndtOb4f2v9GS/R1V7U1/yhqqvlF2xo62Or3AtSrSnkbbeU90uC1yMKRRz4xQ00Vu/ShAZM++7l0THTbe/rbV4pgdS+kvrqgqBTBJi60sey8P1UUqCvPjbgwSYY9a00EcfphxdhxpFwFey1VBWsNKBb8E7gEk4ngQAD3WXeuXMdg8dK5Il1KY5RQS2QF8tbyVwZAXkgdF42ccZ2436Uq1ltpz8LVjLvDihAUpe72trWRza+lAV41ceRNvS3onjqMX7+YX79HPprgrFWHHUjXYDGEnZXlIFgeSPm9+boiTRXLbdw9L22q69UmzaEI+rsZnz+84O3zDebzLddoEqSz4vI5gLsVOkfE512S6+eHXUcdNlsNarbdbxpANZLCXnvGjcVmtaaztso2xOMC/jySthgeAUhjRkwFy02HdYpt1qson0m81Caw6furDMD8SaXdGEjeGAJ1KxiVcau6OxCpJjqbTmQcpDP7rqUK7u8uuB1mgigqeH8+4HIeoDmgjBVhFXTPZCu4WOyVHkMwu9Sf3udctI0TqkGR+oJ//uo73KQZf/b4BR7nEaUG9uLOEclHp80Rqwq6x4jxLfdP96wmvsW5xuXJWkCL3dPfc9R//Prdk9wlG6Lvh722/kKnwnEkDlpAUw4Jrhoo2apYA3A16zNIQ+z9fRtKV6xi1nfQ40DRqWWFrNmGOAu/Zoqb5cYqwI0SFtpnkEKtVOoEmiG1nloFqt2bB1BeFdEobWTIFYoPsJp82zGJsiqIJ6JNjETBqpiC/Vqg04/ndQv0AgW2RJUVtk6aujJ/AdAamiq0I9CAJctBeP1OOVK/VrteD1DFKhZ1UwGtGoGqRKT7gXL9h9D6Emtk31Y++jDr7b2cptm9AE08pbKiKllbkKIRRL3MaYgFLm0ESut5NCdl1bs8JzyeDjjNPeacEERRasDYr5h0QDyHhrJyfhgDfwc7uosNgfc+qC4iXlYql84r/+yCIrhi5mpjqLrOxquYU6y2ht2uz9rN1cdSXDIDZGBTXrb1Yh+iMnj2AHevLm4jLDxCDKcJzl6AJ48O/njSZmBLTYHOW1ix4Hvv7NXf00ZBBQSOvvaKXSXdFWDfE4BGcdIuoGqyYDhsW8tpm+4DWpBiyUoIUFQLlHj92ieO+SnOfNiBO74kh3RNnZPtgKBWgVOcP0oSmo3L5qs8iPyIcuiBkSbB/BCRB8FyL1jvLRAw2Xynj/mz9v5XKKAmb++ordpaeiDRKmLK62LPsBK/MHqbBuA8Dfj2cocgimjcrcvaYS0ReY3QOSBMgaMfZqB/ouBMXH1OtlX7PAiqSuXYNZMFg49e/QDU2vpl9+vjmgfqitUxbMkX0N6/AXdXdF+zXZ8RnWL7t6yFYOPHYM4OAIGrLhuYKQZwCJRV3LVAHCQBAQL+j9mRgXN8JmrJYrB5wuzhhbCi1oLx6jQ+sw/rB66Hjvs9mZhN1QaWup5BmMnMaer++2QzBWtBINuhJeaC1iLgCWdjJQRPHqnmGyerJuRqYOs2V16ABhABuBr7FtYKRFYCax+Qj95zzgRgvRP2siWgjFynRpOsQqqfJbdiLAcXcGGVhAwCp61uKsi0+3yzY2iovX9XkRLVOnMN+F9evmLP+XzE5IwFBWQOGN9aUru6L+f1pbk2MKft5y4CxxHoqNq9p6Dmh5HJoSeFBnDkV0eIKtbbrqkgux/aEjTzKUlQJSDk2vQs6hBRY0A6ZQZpfUA+uKYHbYpgM2OPeuwYg1Q6kXLsgE/vGrAtxTUwQBaL2XLpqSGh0nOtLThfBybWIbvwlCIfTfTRk5vigIkimw/kc9ztmcAznuwAgpTRmE0hK7rn3IoHZTBdkklbAgQ4GBPhwlIhmwqwAMstvx5WIMKYaCFa/FEtiGeVkAtu7+nnjxp90Xp0pXBf1eDnVUWxaRIa+eyq0IeXQTC/AZY3hbHJLJsftz1MZWlTzg1AeuYB42I/LuLEPW9715Nmt4/gAJFCp4gpUwD0dohIoWKI2ZLcHqUGnE4j6oceYRL0z1vVT7J/DosE8UNFyEC6cIQaQTLzjzlftVl1Z95YGQLiojh8G7DeApefF1ZzSzSFcCb3cQbmUw8ExXjh2JoyAOvdLqEHrPJr+29iYWX6+R3CWskW7AkK5QMFk5ZXFEp68+85um2+7zA/cI29UuwJaHeuSDP9h+u8MHYT6CUCAszlgN8uCfWU0J+NDWgxTfciKN8NpEl7tX1mDOkAXu2BfGASV44et0Ysd6PN0GVe8PCXtMXLp2IUaGD1lkJjLTbVeYB926eEw9fUEFheRSwd1Zb7D9yD6y1tsH+KSEkwvQmYH0jLHX9Q+skjE83+kYlq08Iw4MGryVBYbKJYbxXxZ6Rklb+5QZyA6VNFOSrqISMtHaY1YZ46lBKaEng4B+rhWKJfD4p8y6q0TLGxL3VKBuAZBdvoy2ESjN9zX57+ZMHdJycm0lUwdBm/PT8AAH79/hWmS0+NkVjtHmQDmIIiXjhDt+7ipOE9d+bwWJEMFLh81qF4u9M/8vonJ7nzPGOet8FET09PvPF1BUawgtuqJYb8i1DNsTLhDcGpIlyQzqgy2gUGnEYpbP1MAVuApVsC4IlGvR2Q7weklxUyL0wUTFFQLjOwrgj3txRN8qRxh1aWgfTNsCr6pbRK6qbQalC2vTxoiEtGelk4C7GaIJMHQi5S05EG6oJOVCElku60yn2AWXsmj93zivRhIu3aknMGqBnaRRQT0HFn7wlKq0B7wK9o98xgjv/fAnNPtB2AjkxYkMF1sMAFSVCH0Ohs7nTygQ4o37LhvwxAufUAhgPR4yRIiyfWngSoOWii76UXEwtAu5awKJJu1GdubEPXVksWpogJAyRWbpxYcXOYMfYrEf6LJbdO9zlRcryN4ZgK0vPMdYgCjRHhNEPPJ9SaUUtFrhsiKt5Dm03MpUvQjuh7q1Ypx+6UowmsGSjj4EMHtPEe+DjJLbtKr3/ZZ73uk4UYCCJdZibB48D2AI3QBnxIsxtAGZg7rX4pXFOf8+uBsYEtAkCV43fqYJX/LO3a6shDRmxuYgWrGZ5IAGgVQ+ySXE9yWiJZdUt0LXlvcy1XAVbjYVuQ6ZRlF8hoiYhuW9TFe9T9x345TfBIFVRzFrRkrfUe796nGvo/vQrIN8Byr1jvFUgKHamGEp5jE1DzYD9OW38TFG3eqV9v6YHpjSdX2PplOnCUkDodmP5vvnR41x8hsvXYlMoqbjHGQph4EKYJ6J8rupO1Z9hom3hm5bQp4C8rdJlQ5glaZuS60duk72gbl9lAtuBGwmc0Jorthe25FJ9JbXRbivftKOjOSvBZ0WoVTFNcRi4UYkvWHuGjblzjoSrZQSFAuwQMCQqruIrtpTWDDXbbaw+SOO2yMXNEGPxH9w0VZYzIRwOkTAnXqa/NhqKgSofWE2mV2SY2Z20IYVoh0wwcxzZ2pbUhHDrULnKf7IUOxYFNGJAZTEipMpD2CpfN83YFZqQtqN76tbb2GW878USp9hH1EMi+OWxnhgZSw+ZPKqsXR/qK8JKsrUSpEjoRTCFbh58ZTCAmGEMGsMqGAHXi/8+vBesD94VkcN9HReg4oqWPFDH51dMnqCqk5FcDkhWIs+D4thpdWLfKcRSkqTTRsNobqNtHqJRW6cs7cGy579EHaT2GLmbn5/D8KiKPFOvpLhWt528HDLpMhBRp46XqsUPtBN3TivjuBXoYEF7xgHPfv973yH20Ga+xsVCkAPkYUcbI2bszS6WtVSNXEnfGhCaEZZVkVr4E60GQjwz0h/ekXjcFYQvMyVIjCO6U3biggZwtybX3DgUItUJWGOOqYPjNI2TNWL944Hmn3CsE2aO1dThIwFgirIp0KdQ2sPXtLEmAMWVCsZFMuWJ5SJjvgqmpqvka3kdqNN1NMMsV9eMlN0DJRxD5s8tHihDNX2TcffmMZUmYn4fWu0nxNZ6l3h8plW0gG3NBLbZgsL/ebCKj+75i0roNyJkjMAFL36HUgBQqRqvovqw9cgkozx3G7yLCAvTPwNbzyPd1Cnf/yBnAceLfZUwoUgCdUfOEvF6anadzhR5IzY6z4ubbiksWnP+oIt6sWCvBrv5DQPfiLTf0y+nCOC0fhAnUzD2oleeTJtp+NJGl8+ekHXscV2zMzvJasf5ixvq+h/w7RTpllKHD8hqQ1W3P1k5NoM3Ak2Aqz0xit3M2rBHlHNAtwqqlszsU6J5hVGx7FAWtwKFRUANQekW+UehQcfzshBQrnuUe601syfbwTvDqz54Qpozyn73BemM93MMGAooCw1tpFcnQVegccPtrnh+Xc0AZgP6Rys3Lg2D6hOu83LKwNL/m1w7fCu5/KMgHwfRJRFFF/wgMj/UqrmeLwQbySDUBtQfFv/jqOwQo/qdv/xD4IFjfFHzxy3eY14TTeeC0h6cesghi4TqlF8H4lr5h+oxV4fqw4ng/4fz2iPRtB9f4ADwBZ4W9DgQvHv6KscXpT4A/eP2eawHFVBLenm8wrQnnd0fIOSLfZvS3C5kOeZeSCVsXDj8ULHcB589ZqDr8UC12536fXyVMnwTk9SO63d/z+icnuf/m3/wb/Ot//a9//A0fFZQiA5M1bwGMj+sZIuoYiWh68qhAOdhMyaWSygZLDKWSwmrjKLz0j84Cm12160f0NE8UYgDQMfBaCyQwaLAonk7Z88RqByN4OLrsv+56MiFEXzQY2o++JZDtZdVRKYZ0GEShHiQCwC4Z9qpq+wgFA6kxXSfkTr0xBAl1qzyw4sn3CqshU1ZlzTcRUr2vBqbwutGZEMLWv5WCjVpShNYLvFWGN+EdaX2JtSOdg7Se7T7Yj2g0Cwt8/LOTJbnse+LfXllRC5yDofR74YpGLyyAZCGVoghU2ZcoIeASFLkU0rEDs5awMmmOy94paEuCGs3Yns1ffvhv8Zcf/psfmXkbHeTPRLUlDpyDFrZnZgyEsqdvAa0S1Gid9Ucf89Mvp5Q1Wrm0Cm7rR29GtCWSfn9SKiSH7fcB+KgVwGxQcFXJ5P+gHdrNzu05if98AIpXkJ194euzey/9yP4BbBXdALTxU7KtU2Ne2GcptmBtq0Jj+5oFogHsP/exX+1e7DO3+9OWnDXKmlHxy0Akug6wGX1gcrtzyNoraiBbwA9VVvK0JbBN9Kk6oMRkwUXXALQB717x8D7ImgBdAs4T0c+UKExSKytbdYmkxi2Gwk/aDnpPcBvdt+KquvqXj/8t/vLd//vHthZD86GCuFFUjZrfwAwDH7xvqrVz+PProiVVBT6axkFPimfIljzvWzICgRVBggYfc+a+bmfXwcDUINAhmhZEaPoHUIVY4LupoOPq/+0xolUdjc4IoM2F3lOnm916L2BRqBrVFp5oEkhp84WdkpwCcOjbWnp/ISQ2u9u/Sh+w3oQ2HgVAo1trFAIiERul1J6D9xBDKxWFnZrt4nqWmG+CUuw5ywfz50dFOVQgKcc6KMe1qfgcZzRWB6tp9v87e08z378YhQ4qkEAQJp22Z4gAIAvqGjDPCc+B/MFqfcg5R5QSsF44MqS7iLVAoPkRyYqYyVjZxwRk/VT81W/+a/zVd/+vH5l5mjmDkQtr5iB2bgGbWI4lLt6vDMCq2eZQgiebEU3JGkxE8XAD9nGWrRUC2KiOdqY5IHrl19zWgqAcOjhTxvee/7yzQ1r/dHJbtlhkHx/J/ufoM4vPh9UdyofdWas8PzmyKEB7Y0DcDpDcQfvQZkX7tfMzbdyJVVE9QC79dg/7eyXQZwD6MUJKaEyGVjXztQM2n1INUHXWUXtDNduWdr/+/gi0v2XhCLbQF2gVqI9MAeMVBO6xPWjZ2lP8a/azAYp02frT288Ye4BgqCAfEl7mHkuJWAtv6mUasObYklpRXLHdRKmt4OycNray+Uzgb/76/4m/+ev/x4/sXKNguaVmCqvxtKnwHFGXgO45tEr2eitbLCdAPtJoyoH9sD7uK1TuY53IalKvxfTO3HDb42emF0H9uwHpQpVged2zZWQ1GvaJZ+R65Azz/oXvUUbBegxUcT4yqU4vzm7ZYlrep7e5KX/+sH0+IgywkXZdYWX1WnPAZb3luq+CfFORTuxjDVlx/sUNJDNh90owxbK02UKwVrj+UTD/3Yj+iTStq/YO25tlAMpRoYvZoRqbwZgx1KIxP2v3mEee8f2pkm1ztD17Q9taHviMRIE///YzfpyLoynIdpwT1qeeG3so0BGQS0SY0HIT7nWBiiJ86HCeI8IUkG+0qdhDwR71gc9DOz6n8+dWuLyZcJtmfH2+x9uXGwRRHHrS9JeHCfmYIKLUEkmK5WEXDy4R+QC8/IxnYjDgzcee+TSZ0nmu8CNz/8nXPznJ/Vf/6l/hX/7Lf9n+/fT0hF/84heQvoMeBooklAqdZkhKwGFg5fGmI0J+G7HcBEMiAKjafKuI7qUgvazcsEZXDBMrcj6rUYNw5EWpiNWRfjvcrJ8W1Xq+qkLHHjgaqn5e+P3DlvRCFToFRBvjs951UAG6MymsEbgSAKldwHKXkEdBHhLCfWwJ7f7VvVSktVprnwUYUYBAJ+Yz6rz6QbR2e5+aAvTOgiH/7J5D6lkd5gGbTqQ0z69tPMCpIl0y8hiRR1JQ5vvQ0B8oMDxX9N+TY5NHS+hNAKP2AWUUU6WkWEzttvEp3qtVRm7WfEPHsT5UlNcUNoEhK/WGyUCcE0JhRTVdqNY3fKBIwnobkQ/cvMNTgQbBehOggQmpKEw2XEwtzw7N2QKJEFDdiRjl4bJETF1lP64hsOnMCm73UmymIX9FshJE2fXIQRV//OZ/hz+8+V9BzxdkXfBfffi/8RemCUikvu0p+VgyUCLqMTRavihQ7X4g1g+TOXKqHDpWcBaHLrElvfLRrvV/1wrk669rb9WkGC0Q52KoJ74ABBUo4J6Z8jXF1KnFRmPVLphNoNleA06CsS9ks0kPVOqOTiyFvaQwOo2rp+9BnmCMCY0moqKggjfQgBztBYDfD4CwjcpqjAQDqva0SA8saifACEM7WfHy0VmIgoqw9fYCnAHpc1GFgdh8TwR2vQXyjSLfF/SvZpQSUCZLYG4yLyF3SNlaGzqufLdWHl67wATVgDVlAJdtmDyZDdgogpH0sDIAVROWHICoiEeiQ1qEwM4pIp4F3bNgfFfZlziTJh7n2kSjWgW3sC8WIvijT/9z/OHtfwr98IS1LvivX/5LPvcQWBktxVpODUzp2GO1B73a/0fBvg9VDTAMS0E4G/vn0DdQRPLHwIwBIl00wcAIHQDkygpSRgNNOa+aomk+ZzzfDyhDRLpkxJcFre1FBDh2Rql3Jg9Q22x2tMNThWh4HsWSNUFQm4nYZlwK9iBJU4gtG2vDVW7L3Qjc7gCWICj3kT2IE3UU8rFDvonb3tmdB8tdwOVTq2Kd2X9JkA4bWyhuIKTTOr2dIGabdRwFshOCQ1G2LoTdc0zA/AbIt4r1VUG6XxAiKcSqggmgyFKITHZdDK7Cejs3RlCcKsWQklCAJjFo4tqQMuyU/RqBOAYUAOsS8OHiPFcDTSrXPj5HdC+C/nFjRZiDY6V9zpsftwcjAMK04E+O/2v80Zd/Cj2f6c+faefpcUE8Ui/E6a1cV/olVs9Do8LWUbA8eBXRAmRLMCn/28Np5gCwvOpRPxvQPWcM35xos533KXqiggby+HOvSTZhPoBjnm7SDuz1imhGjQHlEAj+RR/9ZH7j4ja1rZcnki27FiYWMBuoNsvU5wynmWvanTLiJWO97ZCPVkX+4tjuVyMQQgAWGkEwoaHSBVZrz0A3V/hopqZkbUm0M8TWo13TgWJgnqR7Mt6qVzvfz8C8UIvFWnJoQ9v9FhuH5bNSa1SEJWB+GRC6gsMNkZp56lByAD6kpq2wZ5M1VW+gXUsDDApjHKlKeu4dgZ04EczzaqOGhMfhSKZbssr+kqA5QNaAGhURJh64sijgs5FZDd/Uk7Uz0DEIfvlH/wX+4Iv/A9LjhJwn/Ff/4f9CfzAIzl8J5jesuPWPvP6b35ifmGkn82vB9BmTFzlmQIDpSyZ+ziqSbCJtC3D8QBuZPiEVGWCMFrKiO4n5RK7J8AHo/73RTD8RnL+gqFK6cIzj8W1BGQJevmKR6/gt0L9UzPcR0xs+u+VTBkDxkhAu5rsXuQJu5gc6hfVOUW4rwiToXgJqUixvCtAp+m8Sxh9Mob0K4iy4+zXF/t7+p4L8ywn46xF3v1GsR8F3/xvO2x3eCdLJ4t6oLa52LZnuhX/kr4Ea2Tut3WajBBCFtO/PZuRLRE0d99mJgEzIHK1EwUomv7UH5kFw/FZx+GbGet/h9LOONPBb9qxqV1H7ingJiP/9He/tQDq2ZMHLhwPklHD4NpJi/qcXfPnqCb/+7g3qDz1qYuzJvU7RtMP3FHyd3wCXn2dAgfQYEQpjfj04PxvIQ8GHuwAExT/7/Af8/PAB/+M3P0P+d/dY7xV3//w7vBov+BdvvsUhrvi3777CN28fEMeM9PszagkoHwaEl4j5s4LpK0X/fcSrPydg6sy05T4SCLEWgn9IuX7/+icnucMwYBiGH38jMMDxqpSPf7j6Y05NgwdDXB2XDw9LQOysqvhR0vjxS/fvq7bp/5HfIW1SG5LaesZQ2eRfd4eKSOsl3qo/sjlPd3KO6tnPNtTmo4Vv1aGyJQYe7GkFripV+4qBgtRLWILgib7lFF55chGS2pG+6NTk6gIgu+spE3v/ALRr4QVqq8hs4xr8RrfP2lduKFTC95ewjV3YX7/TosV6OlnV0ka3aL1cWYmYFp5cbRSEHy66IXGcc0ukXyW0XkhSgwK00HGFZVMFDLt80kcMXIk37XoAgySEMEBj3QSd/r6XUehb73mwfum0PRMVC5gB1ELHUQUI1p9DZWUGWh+L9qirLe8pn/7yPeD/VI5aklqxzeZTC/4AFYXA7Pjq93bPyeMhe+Y/vl8P4rf15HXa92y9vBdcBbTf3Wex4mo27bb/ES2rVVXDdr0eTDVhHA/SBe3fTaLf7ol2txNW++j1I+ECt3NDax3557UoQlCoVtRYAWXFDiq4GrOgbmNo6tQue89ZrzY+S7fRAltl3ND56iiuP3MqdJYU+HNGrWMV1+w8a6uY+MzKVrl1/7yzsRASBD0qOqjuDH1vg1dVIGmiYXyDLWnUyOdc+oAgWzCuRjNuQhz7P2Yn7b3/vte+8uv+0VtKfnS9/lz3ewnNtl0opI2ncMqx25/sgti9beztcLc3roSwDHhhT7g2JWT3f96DqRCEeVvvNgLDzoPa0Rdcja3qttETEhicQQ1wSNv5dHXN7ZzZMUzEfL1s1T9fj9ozwEWqCLEyCI+VY22iohrb42pNzX+7PwfQEjhXJQ/2eQAD9bCCVbMASLLKgfWjq4MJ7b2Y7MbFgr5ld3u2n7ADqzYtA/u7uj/voZKv2j6kkCauzgiobJugL9/A0GbfAc0XOOXXmUcN+Ki681fbz7Uyv1XdnEp+dS+rVUIloKJeVWAbE8vjBZitxy1+cH/nQkWsPgu8Ct1svilvu73b2b1L4PY2zn87W8DAxIpG/d+YLdjAHwM7Rff7A9cvt7vEf9RuiwcbIyf7D/oiod3rxr6QTWzUz4y4FQSw258tMA5gP2qqCJGjq3RXFvLkZRuXxjjCR+A4eOnq56EoKqS1z/h+BujHITtmzypYLwk11WZidYpADvTlNiJrW3y0ym1bT/v/FhIIEEMiqfLjiL66zdKneJUwLmhFFz+3a69sx8m7hxW299n7SRem86oqFCZ+ZG0NTc1vixkcGK3J1nL3nvuqXE3SqsK+bo35IZvPdNaT+hgif9aRz7f2VmkWmJCXtnNALGZxIJ8VQ0Fd2YIU1gqpsr3HVWxu8djOvgG/JiWQ3qPZdCXx00AXtlNBeY955PX6SKN8sDM1Xd/nplaO5h+p+l3t2VAHJ51hQD/9q6zCebPeVhUZ4wdRhFhQeibKtQfaqKWP/XyW7V73f3JozAW1/Zk14FJ6rEtCdyYTbikRuQbkGrGIYloTbT4yOmzjsgTQwOfkQmM129labUawt+b4NfwTXv9R1JVlWhBWE4O6v92+4dRQD7YsUaqJRrPcMyvPAw/reKkY3s2tX1GN2imLKdmutVXfIAI5z5DzfB08+UGSWbXQGKhc671l+yBM7ZBeC7qnhUnKELGOXTtANVkPoHAz9CsFHdLF1BlH6zO2vhevNNWOPU9SBKUoJHlldHdoFaCa989H9gB2p4rumUhajRbY7RFKIWpfht6EcVhxWu4jUGNDjAA0pDQfYAivQLTbnKhuPaqb8usmCFaOaauSAe2a/DDyTVgn4x0nJlhyiQgrVSi9j6U7WaVp4nv3T0CciJjHqVhQmK4pR6DRqzlRjVThc7Eq0sfRrof9VIrxHZvX4+IokKlNpoj+aUV8Wuy9TRW5RbZWJUwRMo6NCgOAFVNLavlvq5auGVorNB5MyCVivQnsVz7wuvIYiWpOlRXtrIim4hpmshNc9VeKUg0UYN9vCJvNA1vi4XTjatfkKuSwuGO/H6z3kWqTVuVeNtVtmoIivdBBZ+8Ts/0qqojWE7X13RJgKk5XM86fBmFbwtH5ZWi9jawixY2Knmz9Kw8Np9bWPpIGFyl0Ruojn/V6Y32E5vBEgTBjo8QbxYugCnu3PnaG8pGDJAWStFf24gaKqQ0wlLNtF6RUMQwTSgm4vDtApoD0IuhOaIg7bV5bZTXOZQPwgkBqQo0EYxwMyWbLTr2TKqjnjUJbe2C9MzqYBUL9o6D/gNYC4BUeWSvimeJpzUb2Ab6rG6+rAQ67oGZZcdWHq7xmtQrXXqHYdQBcoGa1ftZoQUOc4lYx/yihVeuDR0BT1Q5rsZ7x7Xp17ADpm5DglTCbPZT0NG8HmWwJwf7nwmIVEAuOG3AEbCKDxVVIt8rJ9vNofXcOWoT1OhlplyRbpVUUlrRyvaCwyjLPoDjr5tsDMN/GFuRFGwWzGi1ttaQvXbbv1USb7861VXpcjKbcDsbCsB47W35//yau0wvW24r6akXsmeCGYNXQUBFi4VJlovzpAnQXryjWXS8nrzMfyHLqn8nGqn2wNYytktg/M1iJk6CMrLA1QbdG/ef69x8Ew3s1QUI/O9XG66yQy8J+b7PjsFg2HAPq7RGSIv3jPrEsSpsSUNBp5qgzWYtVXAfkQRASIP22P1WA9SBQCaSQzpuGBxyoli1wFgWr+juQUtaKbmVsUnv2a8fTCikFIcYrMKl67/lPoI4aGDewp9aqfjU0/1NMXXm+J121OwH9i6J4jKCgMGTl2Rwy2jgUDUDNigDBeheRb6KBfhZh7hIE1wQpB+qbpKkAK1AuDIIpaMO9ky7VWGaRdFQHOq8ScU8ITfDQzhWneIci7ec1xtb+5q/60EGlh8at2sqHQhsroyK+mfHHX36PKXd4dz6QoZMDdAmIF0H34vEqGmMhrED/UhAv1VTEeR3JbLX0mz8sA+9j+ACgWsEh2oi3qUM5KNY3DDC6t4mCVguBnFCY5BSRnbiVgQoqSCe2STkj0cdOhqVAphmSN+2c/rlgfULTcMlHfkay+2lr1gH1pkCWgP7vOp4/g1UsMxNZ2gcLDpfPBZrYMzp+r8hHwfxa2VO9ADCZh1CA6XXA458AqOw1jgsQL6zSlV7w/DMK0fZP2uLV5T6if1bc/bZgvguoXbKxSvx+d6ICdhkEyx3ML/LMX+8BGQt0IAUbRSBTgJxYUU+TYunElKZJtQ0r+2bDf+gxvtvyljgFOPHBBdXCAjJzbKRR6YH1aGvYca8t9wqNVmk1gAGRldXw2xERwPkrxeUroHticrrcglVx2cCq49/R93UXRTkkaADGd4p1Ac5/UPDZzz/g+68fMPymR5hhPoBnGinZgnJ2v8zrKeceX+Mew5Bx+PIZL7cjTmHcAIXmJIF0Ftz9h9hshL6X49GG94Kbr+lP5tcc9fSr4yc4rx3W9wMOZ/qTd483eLkM+Iv5c9QsCN8NuPnBChQDE//yuqDeZsTHhPRCVe7Tz9gDfvM1zxvuL3PtiwLLPy3L/Y8zQqgUSCkUBbFZto62O+Kxf3klMJsEdjwI8jk0h9moZkCrRrBH5Lq01oRJYoQOpnjZqrD22R/3LO6/56NCnLKZgglBALCK4pZESetnjVNhslYVNSXGS17ldGTXKp4AE2VH510VmUqhCi+iFKPVuBYLYAmFve+G1hoi1PPnS88gZavskq5EGs+G6pQDkar1IE0cRCqrRWoVDn4oGJQ26pf95c9wh6bx9BJD2aT9EPtgvbqlhhwabdPmQAYbAxNWd9akhtX9eW4HTAUQV1bDXU699EbnsATAUb8QeED1z9UqB0ZJHS0AqWg0Pu0iaZ9XRuVAScDVw9jbzt6e6q6SK2gJi49V4nMxkQa18TsRkBqs4raDi4sAKLvKcGDghI8SXb9Of2C6VSOufiZGo+MJfNSMCwYF/x0PvApYWTbgp/V/m90FE7FpX9cd5e7jJWo0PvusVRGcYlxlq27Y91sFzedK+z0YFYzUN2n9KewbYsAiFUhBoCufvZptq6JVhn50jR9Xdnc4h/smV2HcI5uqApGKscuYJQJ1zxjQ1q8Y8lbFdXoZ+6KZfIQlQCLVB9mzFRASTDCL+z0G9kBpADsdylZZbirkkwuw7PotvQ831yZ09JM2nAv0p+bMFYOK94mv2VurGu0ruI64xs1PaXQaHKiWHeSqZ8/fz4N5n6sMV1IuPAM0BKjPjzUxvHb9ey2DuWx00O56zxLMtGq6AaBo3Ha75T0VtI2Cs3PL9sDWL+4ME21/vNJ1NfbHqcRg0rbvXdZApgOAVg1zZkLp5WoOs/dnt0qt26psAJ9mCuz59za14NDAJBVA50qGxZ5y7n86tQR3s4n9CB+AZiHrzsYz4CKKtAsYEyLYxAOfZciyhCd+rM6qPXtwJMuIVrndryHEenm939yfa9FtvNVuNJs4EKnKWCQFIEZIDAD2h+tGexUfkSWyAwht7cV8tlcQ/Iw1RkZsjCc/KP39t4DRRf/cxmTh+VftAYuqKYRniuJ5Bd5BfsW1z3Lbd0ZVAFI1QUVL6jxhJRPA4g4l6KYSGiMs5J0S+6rwvntfBxVtPeib9sGW6G7FgA0o8n3q4LnbGAEfGOUebQyNg5VtjbyCpQI15p9aBUqtdbUxzxIFRL31ALrzk8Y0aKCJP9MEHMcVXx2f8P10i3fnA2oVMmSKtWx5Aigw8GsbxxbPK2dcp9TiG+yrUbLFIy5EmIOgRNs3C20939HHpjNBUgcqfd97FX6Ltyw2qeYjVxZypOeUB458K8AuTg7FVfZZSCo9E63WUyzbZ3A8DK8nFCArE7m4kEHn11MjVdLroOieI9JkFHlL6GoShKCNUVAGYH5dTQA0ANUEGVcgD8wBwiroX4yWesc+3P4Z6F4K7fsSUQopwJqYXIbFqqR+rzuRR2deSVDUNUBeqF/hAnn0L0AFhbVCIlg+XBTpsu1jF7vynwcsBgdaZZ2VY8Z7HOnDvtuawMp4UKCrkK5CXzqkD9x/y+sC7RRhTmxX6oByy1Y/yRYbqCBNjJl9qkSa7f+7ijeHM74PDwjzduY6q84BIqi3MShnNq8By9zheDPhdpyxrAnzsQI+f7yKjQ9SxEvE8IH+fbkz5lDk3uyfFMfvMspIwDoXweWlw+N4QJiC2TNQpoS5CupThzAH9B8E/QcTAeu5busr5iKyci+UznqXDZANeWen5lvlJ8KXn3r9zkmuTgsw9kwmwzZjCs47sUQGGhu1sIw83PKRJfd8I1hWASSie0wIJocuyll3uKxA30EPlkAvYsEQ+yM1haZqKWu66rHUGOkAckX4cGIAMHTbgbgWQ2CJmKZTBs67+1sDpPK90ym3kQ2tr0SJNvYnKtKG1ZJaRZv7tiW8MFVJ/VGg3Z1qC1TygRLs6024oqGlSREvFWUImB+o0Jq9V9WMLx8U+Y6fGxYmN3GisI0UC5iKHRBGnwliqLyp2vkIHApcOQWS10bKmAVrdgDECxOpsEYeCGcaZTobajjbe7v4CQAXjwEA7yENS22MRDpHzhp0mrtUE7FQS269qmgjK6QACNzscXFPRLDCFQnDnFvPU1M63gcqrWL64yRBS4UgA11HQMeTYes9bT8XYM8GG4qsfpixIrGh/aFdgiSl+myfrq/LA3Ov9O5fkZ+vUjiCaE8H7VK7LpnzrmdNNvAobuvvzzxdCnQqbU4yPJkVQGwYuEZBGaJVY5icBqNwrTc+83HrEXWhEO2k/f51byc2mp3Rj9lLJVc+Y36jWF9VNGqLAutMFb7uJdDWJ0FXDKBykaDA6llcKqJX9MzOm3CPeKLDg65U/31FXQLWKWGVhOnSo64B3ftIZPiyBS/d2cY7nOt1/1TcBJDCWoEVkL0oEgIaIBK4L9t8y7CJyanZt/c7UfSCFZKmFBsNxFgze1k7syebdduUvLVeUTibbfgrBPpd0zsIGewdE0W+i5hebT6oJWVCO09nJRUr9AiLYng/QyZTiD+SKSMrEwvtWLWXGjmKJ2hrFQhTbvekXWSAbaIwTGg2f9rAubDdR3hZEP2MsGQ6OhBpLSA8ozab3L/CUne0OPMb3u5gQbv20gLtaH2JG9iK9rcng+tNAm7QkqzaC9YD20ymT0hhy7dKsZVYoR0Bj/RESmMZCKxE0zqQYqwfZSXhY7EhT5SkbGrOfqZUA5zCRHXX0lXkjjTO2meUHJB/GBEuAf0jA5B0tpm0GS1RDSb+xMo9n0doveBUBY6zoH/ekg+ClTZi5gKEvCUjDUQxP9lG0Mz0gS725Am/v1RhwaFStyMXyLwQ0NkF/5oClcKHiBClsTI12Lz5Thq4AND/rPdbD2ZYGczmMbJ30vox4+zAB1pC4irQ3qM8vM+Q54Vnk9Hs3YZrn8goSTZuUIHOmEfrfU/djBKg5ldc5Iughld0a6Oks88bjUmXD1QUj5a07OmqHhOkSXeLabar9E0An/dyb6yNWU01PnBkzKDIY38FyHhfrKhiPXAG6uVTQb5lVbWO1QJXsSRYmj9PZ2mjdADrzY287zDtolwh2O9CWTJRiX89kkVAIVHPXBTT1OHPP3yG89zj9DyirhFyilQRt3E2wXpiQ1GE2aqMR1a1/cXKLeO07lxN5DLSlhVNCDCdlCw0B5kzoEImiwsatVE6dbP5aH+3vn9V1CFBkonyZYKn8bIiLPnq/AeAyyfJKsqsespBNgVkAaZPqcYtGbj5837bH4FJX1gEy70if1mQHiNu/5Zn0PJKoF21qit9yPDekmerRFfbx1I5QgdqceoNkG0+b/ekuPtNRels6kBvehSjcnSNg7eW1MQzHUSc7BkVApMb/Z2jeMr7HuEiGD44sMg/8xvF+UsDoVf6HFeI756p7lt64Pn30la5LZa8HuiH23kQyfRaHoxtY59Reya4OlSMn1xwGBY8vxyQzwkYCqbfs/66QnsvB8Vsyej4NSvW6+uKOlbMnwTULqJ/UozvacfdS0FYA7qve/x5/ALhiRXefCBDQxMwf1aghwI5R8Qz5+DKmwUhKDphi8LLr+8xfwjsSz7xXvPIZ5ePW7HMwezs1WqjOM+vBR+CjWc1+vf4TcL64Q7DyxYTyDmizgHxFI3qT5svCVhvuPbHX0dI4X12p4r5IeB8ADQqlldk78WVY0CLVejzcn1W/32v372Su65AX6/mHrZeq4CGrLZ+KBMtqokPtyY+nJAtCRtI12l9PBMPKnQJ2eexAUCtTdWNtB9+L7gCc90OQ4iNpXg+QXMGXj9Ax6HR3wSR71Wr0Yau0VQfh5I+nCHzivJwg3K7OQSpimTzyBqKV8EZrFGaqvOeVy+5ognqgLL8lIPnGIs8COZ7ou77HtY405kvd4aC9GhVrdoB5bYivaEHKDlCc0D4pke04KJ2wl6ewMMtmdONa0F6XkjDGBNav8XCe2gVp1XgysUu7iQLaRHdM52lC6R4P6zTlK96/PYvN5fFT1tYAtYhx12/mVrVKivCKEzgqlUFgGZjXlVrr6pILwtkynClarHDgZ+3Dwo9qilUVPaXVqDaOIoOpC+beBJt3gMBt3M6xtrpjk5NymK8AHEOiIF0mE0BmEkgaY5GG7egvQoPf3rY3fV6tVK2qmxTXDYKn5jquVYK+bAKFJgMuHDVjsYvE4XE6pg25UrryWoOPpho0k7syJMsOVKwJ607sMFv0UZ++Hs2umtwQMDX22iUlkA55X55U9B/MtkjEagKamFVdIk9usAH4AGF7y/vwZEqGx7hfka4B9yeQmHwBuUz1AiEWVBSauYiS2g0ozQpBShmZxBUPruq2zMRNLS9zZOtsT3rj/vhQrY5mAYE5Gz2E2CjHraKcciKeCloI6ecZpzJCtDBF/Ynem+BrRLmLxcxi1tiKEWhtTYfVnrB8sqoWneWWPo9uBjSogAi0lTRfyAVtBwpXhPXiuizRTvrY89kNoiw31ZKIX1alaOy7D5axXTP+AE2yn6KBD0ByDSRtj10EGcZccOQ5pcCoicl0TQLBG38Scjch0yytdlLuw41IcHBBYVkq1hbkM+fRQu28pFUR9LZmSCst6SJzq8V+QCUT1bcvj4jiGLoMi5Lh5dwi3oOCIZs45lzyEPZbJ200B0w5Z/tZ0+ubb4pII2tEFZAzwE6sKJVTC2/rgH9u4Duxf2WBf6LNl/AzF3buDyfsew+hp9VES9ooE8oxmq4ZeCDTF+yT26bkvC6BbkOOtDHGu3bALVGafdH7LT8XEiF2Nt8YPDoM14dAHTww2nc3seZRwq9uEiTrGh0b44n4XXGifvf6fytsg7BfBdRBiBdwqYy7XvRqfNdQBlTa5uIU0H3boYURb7tUCN7pMlKssps2Ojn3VzRPa+c+XtDdXQyPcyPjA7qOHDgzweWFG8grLNY2DupjX1Q4zb2L0UGn95fCAjWW54T3QurxDVZnOIilgOwvKkoNxXxfsH9cUZVQc6RbitHaBEsiXT7eGFSQ19htnAmVZ7xlWy+XgkwpktGHTpkE0wUY/jAzLVMCd9/uEXJEfXUUT32tFWfoAzGhw95Wx8RLK8S1qM0YBHCqhMESO8r+vcz4tIj5NTEBTWgCUixPUXJPDL1XK6NmaVVc7uLg/SeFBNERlWjuFvfKMACzrKxEfY+cX4VMGSO/MpHmC9H27vzK8X6uuD4twkPf1mQDwGnrwxMXbhuly8Ud18+41nvkM670mlkH/96Q6Gs4YNeJZT7inr/gfdYRhZa8o2i9Ir7c8DNb85YXvV4/v2A9c7Ava4yDt35TmcveW+/f42AARpQHWZSgMd3goe/Yuvf6YuIfBRMX1YcfvaC8w9HjL/tGqugBKC3dpX1JuDyufkp62XNN1SYjgtjAQ3aRqStt3T0Ds6oVXDRVfzemw/46viI/6H+HM/PHcIx49WrE3KJePr+FpKZgNZe0D1ylE85CJY3CgwF82uKt2kSpIkJfP8hI10KDt+POIeB9x+ZfK53Ch0qPvvFe3x5+4y/+P5TTN/eALcrfvH5e8RQ8d3zLeapw+HriDd/Vlq8XTrB5dNglVlpiasak45V6k0vYnlQrHfcL90Tz6TxLYyt5/4EiKe9mBYr8K6jk48E6u/+Bhgei/W8VwAdzl8aoHYHhAMwvAP6M9Wc8xHI/8Ts9XdPcmNqM0Nbn6JuYhNlTCgj+xTzyEDNKSpEQxSbaiU4ADxLO3Ty3YBgsxnX22TvaSpva90ol7sAn0Gp7wzhTEJVhL63ajMRNFI+LPiHB7poVShGlqE5d40RGLfevX3/qCc5ceGMN8453BJYADbOggdGXKutUTCaawCMVrTRyLaAylGwfAjINguPVRQeIvVYoWNBGAqGkUHGDOZAZTBKxroFNMnU29jjC5QSEF3cyhPLyiBazdAxV/QvQJ256fIirYLs1d5NUMpQ5ZkD4H2MwtZbjO0fVlnxpCMs7GFsogt2/62xX6ySdda2No4YNloUAKiLoliyYbOYfaah93BtlfXrJFz2AbS9h3jV1n/HaZxOT4ybfXuCq1b9bH3RFU2Ft4w2KsEFQSx4gyqCMQIahdd73Ks2imZj4FXOIPX7ZrRgyW9Tka5tNimFgaTRx1kZ2dyBjx5CECik2bqDNNUc2BW92H+3GALtz1B//DNb//rOJuw5lk4a/ccBsXyrqJ0ivVrw1esniChSqFhLxONlxJIjzpeEMjNo9gpso8rtgpy9eun+frXSBtvhaSixrgzwpcSWuMhqY3tmmx+4OADjlWu7JcEOONl9fU9XzYogVp22vReX2vrh1dr0uheuj1dwXdWWquG6vV8l7RBjz8/+mLbs49UaU2C3Hk7H/7jNw23dZnS3Xn0HdQRt9ETtBTqD9D+YOvchARhRh8i2kCCocYQmwXobW8DgvjcsBZIDi7JFuXf9OvxVAQQ7a2KEoJgy9C5pj6bU3KXtudt5sWfi+vuJCWi4z+DsW1bcXSOhtZysVLrfU5UbJTnyPPkY1muaDGbnNTIQXm9Mn+JAX364n/Dzh0cEs/PT2mOeOqyHhPqckM6hMXjIGrLqhLf2uC20D7br6aKBsnSW8chNly42CWCxRD8oNHLuZbwI+73Oiv7kKs9uy1wLAjs22/hH/sCNviJacuvV++iJrSVVjbotAIT3kiZFmq39xH3gUq98igo49g6BPbiVVFcBbQQpXYM5rvvRWFkw0JkVVCn83NLzuQB2vnjyZ2ItxaiqNdJ5r3cRuUajcQM1xebj/Yxa7iJK78Ph0SiqUhR1jJy8UMh+Cmu1eIUKzJ39vCvi+x016l7A9ezdqkgztnGIHxuk7bk4b6wTp8K7FkkDNXdtKD5GSoO3WjGBo/ozPyePW39q6Z0ua+t2UxFuVhwOC25HlmlLDVhLwOkyoCAiD5X93dUShyKtT9fv97qXV1vlKY/R2CFo1F+pZJlAArICq/bAGhBPVP1Ok3CszcS4pVGHZdvfYVGkgJZ0qlFvXaegHBPygTOAAWNa6LYXW6tBBVk7BXC1cqdEM9YzMMKFOstuH/lzs5gJMUJrpIr6BKhs53j3osBo4EalmrEzKmsn3BvC5HN6HVoCoVFRDrTtsALPX98hPUaydoIZUvbWNz6f+bXF8Wm35srkpnve6KkqQPco6KsgXhTLQ498DM3X0H/yuS8PieDNSa1fnCBhOgGdgZM+a9UBqVCAztSs8yE0/whVdE8B5/EIWQPyUbfYUVmx9bOt/8D7ILiuKHeMr/UU0ZVwFbPQHlkIChkm5iTQGDDnhKUm+iET13t6PlJsyZ47ItdbrVVBMiuimmKrHENJFy6dIM6J9zTZ9JFIf8T7FFQN+OH9LU5Tj8v3R4zfR9QPAb9+/+VWMKrAONlYNAFqZG4SMoCLInU0MO99jtbHzyIXtkKet07NMKYD2rh6j3W6J9n+bftzvWUPr9tx6cjcXG6BmpL1Xfs5YL9nGhQcHbbzef/I63dOcmXsoYehIeeOrjOHCVgeEpa7gOXOJPgDqQjsySBHvBoyWTrBchtZmbA+s+UhtZ5Tp6c6zas/VUQTvghLpYO3iq6s1qcVIhu2oyDcHdmL1iUGdnkBzhcmM31HSuPNATpEyDxDzhPEqX4hQMeEGgT52JFG66i+whSGgXRaER8vKA8HzJ8MkKzoPkyQXLG+PiAfI8JaEc/Z6L7JAr1kqN8OlXRHZg462+zO9Zay7bVXlFcZcSx4dXfGJzfkWVcVlBrwXg7IpeB8m7CA1JM4kV4Z3xKRry7dj4C8xqvqcnfKEKvkIhKt655BVOnSsdJ2lCZ01dbC+rW6M2nCcbYxD7aODd23ILJ2PJTLSPpr5wIqpSIsdFLB1CcdKCA9U1qfZusXcsqrGL1tMnGGFIAUkB4vkNMF6DvUews0jObo9J8f9d0CpHXGCHSkul/1Be6CgGKJbBm26np7jdqouN0L+0A0xK1H2nphm6KvBeLeM9USxqzoHxfAaXm+FwEyE7z65ZU7p6heNXzb/S4Fkgt07JsAUMMhTNRKJXgsy0qKKiSG5uj8uvwV58KeEt32aovGXH3QUO6felG4gQficm8+4mFFGgr+9Off4H//+q9xjDPexBc81wP+h+df4vvpFv9uScjrCFGKh8Rgw9vtQAgzk/YymCp33iXf+/jBWhAcFYYFR+1ezblzvp8J0U0MEuNat3sFmhiNZKNvAo0evgcuwsoxWnXgM0BWRGxVzjgpurN/Nte0qTfvwQ+33xSgNyP94Nkq3z67vA/NR+MyXd275gwcAkdUub14Aq3KsSCH0EQotqqboh609dWE2VBtS9Ln1zZ2zeh7tQ8U8InbSIB8CAQNVvYChaKIZyZlDfjaX09l1qHmP+TC2bCaAB8rpzabts1a9zFIP5HAU/yMezC4wmMX2lgeTwiyiaFFD4R3Ptr7cKvT8h2s3H2Oq4F7H1s+cMRH6UF/fsz4k8/e4r/45M9RIFhrwksZ8Ml4wuN8wF9++yny24EjR3pLLMrmI7g24Hg9YBvRFQU1JMhKgcd47FCGDtnAznIxuqECqNKols6MOf5QMPywNn/HSQT8wDhljurbtX5whIaQVZXBcVBrQR06LJ+MqF1AOhcGwCm0cwd7t+CB/lKbHUiuiKcFyAX1yPGFLcENQEWijxKBrhSt/Djpl3nhc0oWnNoM2nzbwQWL5IlVhGJ+Sgy0qb22ylFNQBcE9Zl+ezoSCOpeSLsrPal2gFWkC3D+jD2HLsooWTHcjVtVVYH+MaN/dyEwMUQogPi0IH1grzqioNYIHGJbI5jdlT6htY8UIKzlqihAajMFm9Y7Cp11L4r0vDZ/WLuI2ncoFpd5W0mNHtTy50rvjDLac1ilgc/Lg7RRUewLVrL3BsXw5oKbw4w3xwse+gtSqEhScc4dfqVvcJl7lJuMEhWQyPEoE9DbvPvgfeAWF/oEB1ElfXjkWrg9VwDIFBdKZ0E+R6znYGC5bFVCq3r2z+WKDeb+Ik7FRJhokz6nuiYKgi6pw3LHEXRpUhy/WxHngjIw6a4DnQLPzg0gcmpyWC0mO4hRzS0WWrWxH3zvqalK10R7kKWyFSNvB9Dxu4zpl8B6LxjeKW6/XpGPAU+/TCyUGGNjvat4+SV7MfNNJWDZVSAq+t/2uPurhDoA0xs+R4giTAFxYpV9uQemrwq0qwjHDAlAeUmQOWD8LuLma23zuIMCt7+tGN8V5GPA+fOEmoB44XmrLxsgdP4sIC7A4QeCvu//WcDyumJ4S7EoXyMNlpwnIFlLBQIwvWLiOTxWDE+063jpWDH+dIVEhUSu1+m2R7gEHL4FHv66YLkNePxPCLB3n17w5v6E7364R1kHoG59zekkrV0pLmjCmEDAy9zjqR8RQ0U8ZJQpob7nuDHpDOBLXOfSBxPgVXz6b0l9n95ErDdMMC+f23SREDl681ExfFBcPg24fEG/kc4CnAXlPGINI+6/Edx8U5GmiuGHFRoF5y97rAdmu+uNqTzf0Dcd3ip6UxBPB8HwoeLmm4XXJl0D/NoZYzERwLU//R6wvs6QNbQRTrd/Sz+03jngxdGMNWkDJ8tBMIOCZstrUtWPX3N95ld2ZiZSldV623UvDPsPvH73Su4+2FcL1A2dYB/lthjbqBdeqIvPNFl3c4aQzYC2mYBoylouUJELE82wKmL0ajC/F51m5wmSV/N8Pij4OUjWW+kiPV6djcHQ/7gFRsnHMYBGii2o4P3v/r/Sszpqshdy2qql0n6vzT1sVVxcV0p8fSLpPjWRnhDHgn5YcexX3HVT+/ilJswlYl4TznF/YfhxBWP3tSYuBP4thvzoXpmywoJBbur9iAXvQ+Fcx8qgZI/uB1v3XZDJwJzBhlh/ZLUZcMGo4mEf4OqGUjv9BqocXyLXwcz+uYgHs/aHtipN6KYJljgNcZ9Aio+XwFVi2apCdt1XzyugIaUAON9U8KNnrMogAbpV7lQ2FeuySptd6Gsfl8TAz5WZd6o+GsOPKyrWM9+ueR+M+ixUB21CgKK2w/TqWXkPmfVnuQrhteKt7XdPcP25A42C6La8D2i9mufCO7WzgLKvSMZQ+GQ44ff6HzCGFa/CGWNdcYgL+pgRYm2UJez3D9ASlP397+ctOh273WelUqQLkDTU0n1acZTdHL0nn17hchssZqOegAL8HKMbivJnHNSQysNZsdmyB1uNflq8x1Lb+m99oh7R4eq5/Ud77Stf/mybzSsQvc8bjdFAO+H6exDfVFyj6QpYC0WNgroAKj6jNG73qQVtZu1PvXZ7GwCuwCpPcAXXCS54H61K0hJSGHsDcNhH2392H6mkogJooE/b13FDoveglVfBvZrSAIOkCGPGeFjw2fCCL7pHrBpxqgOiVIxxxZQ6hFC5Xsnom9aTSzvZ+uebernfZgpGAzd/YYFkcKowvKfOW2pwdX4HYyogiEk145ptBLQEbPOv2zq5X23jUOrGtKkuVLNf28pnGAyM2uyAz7CJd1kM4i0tV5oXe1v4qMLsv7uBcdLso1XfZKPe7Sm8bZHbfdvfdobXDshjIHBhSXLtaPv5xmh61lMWgiAPQHBhorLzVYH+XAWI2QC0gE0pv10AL0fKFpc0hoEzj+znPCYCwhZnCbi31d5rV4kTd5OVastkovn9kuq5p+Y79dbHp7RYL9BmNSm6ruDQZdykBQ/dhBQKOqnoQkGKFdESDxdM3Bgw/uejZ6XYRIeS3/O2P922SNMWE9ARNIEe2weStYE71+f83mYsBLEEV4oi6Mc/Y/bscWBWLqmpTbf4Bbs1Fj/7d8+0fd/OlgpqmVRsrKGwMa0+fnHu8sac5BpuyYYUoUjQwipddTFRVUhfkbqC2vV2XjPmdM0IGGjjwkvaVchQ0Q0ZMVZcMtuJyqgN6HHQwZOj6iBn3M5rT17dhtu5YIzBsG7Pcx/LSgVgdOF8Y8/WgZ7icRMFWMMKYA0cc2eLrEGNjSRXfk8KkJeIl2ngeKUIICiqVzNt1FXLbyyP0Z69r3Nh4hJjhXalKV3D5g/zrBFoZNKpQtttLEQXNTM7LAeCEeksrWfb9Qz87I/mW6IpwIfZmHkmZAUEzpztt/MHMOq8A8KV658Pccfk257dXiwOdolSABR7ZgcgZ2eRunjwLo5xjZ28uz9/uY0ATUBXDSRpbZJ/j67mx6/fXXjqMkHGTNQ/UyEQgUmjpIj+w4qwRIoS5WBVSNssnclsG40FAJZMA+wCH1zpYUq1RKP2N728st4Bo1K14LN4ElAgS0Z3MtUCEVJ/KgBU6NhZxYIiFEyqmBzUmwF6PxIxs0pmTVvvJVUK0YIi74PTGFDHHgiCZArMAFpFhyMdAmrq22GjIi3oa8FLlE3R0Zx0PrDKlQ+KcleAoeD1wwmvDkRD77oZd2nCl/0TVo34zeE1HtcR/93jEWHuWr8JhQ6kVRm3gJ3V6GxD2UtmVSnOBfG0QruAfMvRRVLZnyDV1N6MdidqVdYMdE8Z3fsL18cpvV1shzbACkB8nrheQwdNAevDgHzfIZ0K+ncTSKmOrcJS7YDyjddd6vYZgq264tVdAGHJW1J7HHnf88pDwnu3HLDJGbquQN1BRSN/BzkDYaN6arLeLuuhqh7YwpxcYuDPF+f4eoLXVFCh7Mk77pLcYP0rcaMFUhKe9j/ecoRF/1SQThkRgCy+9zr6DBca2tFPG0UboL0eevaz75K8Mqarao0H6U0ds7rD3AJM0jjZBtCUT/3leycaHchsPR8sYElOj0ND7GpHURK9yQhDwav7M14dLvjf3v8K/6fjrwAAK4Bvyhn/XfxDBFGjLGk7kOVj4aYUN4XXqq3SVYdoiYe0ZNyrKl6NbEGvbt8LBVvFROl3Wr+tU0e7iFoUYbFKlwi0T1cUOBWxaltl4CC2ToF9V/FC4Zp8MN0BQ/X91UScHFgAaM8eCPQ7arLT0FWt2imQq0ghkA2wZtpQ3NHbxRW2N7+xzUY2o4qKeqhYa7BKilG4XPnRE72eyHvpgemLQiDjkaM0wsJe57goxncBaa4cvXERBGSIz0t1YEbtOUUBDsMVMONjNvTQ0c4/BjYAxNOKMC3QoUO+G4DgSUDbtnAFZXWGjVdyl8pnJZ7cmC0P0kabiMJaTaStnbcv+B/vqfrqs0f88cNb/OcPf4H/bPxbPNcO35c7fJfv8OfyBaoKYlSsXUUZqc0Qe/qFmoy2bFT3csMqX5zIvvDRYM4mcbaLK9DW5EGMGhOnbsG4At1LRnCxvsWq8Aeym7i2HcqYkG8SwqoYvn0hq6TvGlVczZ7iVBCCg03b+dDsWdH6zNkbbj9r57MeOlShgJm3n7idyrwSsHS/t6zQaYKWbbQKk3CrkM2F79FFiHYNzJBKKu5ybzHKoAQtlQYvmeOcxEarbImLjUf8FJs/j0A5sHpRjwXoK+QlYngXTblWTFjLx+4FlGMHDYL1rrO9JZAloo4R2Ue0tb1JW0vngvSyoBw7TJ/w95u/WkJrp4rnDMkBqbMWhC5gftNfg2oFCK1MY9VSAxriZIBFiYidYK1ABv2n6yg4U4H+yBNDBbqKh8OEL2+e8Ic3P+CXwzsEqeik4H2+wdfne6gKTssB6SlSNNOO4nwkaKAvWweD++B0KgiltrNGjgFrtPF2dk9p4sPNZ2eQ8Fppb1sbyOYfNnXn1uIggMaAteOapJfCWblGwU/TTuG6Z7U1zgVYFBo6YNTmFwEDAjpPfq2qbD3votYO4SyGUtmqpAqsmc/gOFCMaq0ct7luccvpZxH1XjbGyEPEfM+e0zpUjN9FdN+QNpwu7Ns9fxlQDoL02QWf3b/gtyXgJQ3Nz4dVcPiWFfv1DlgeWAkOx4zYFdzfTBhTxodYMQ0dltTjse8QZuDwPUyHQFilvJWN5mwsgfGtojtpYwnUDjh/wYc9PGInJrUDMJXMKgB4+SWwfLWi/7rDJ/+T2ujGCopqBhNGFcQpMSEeHZjVxs5wnZB0Noru0wFZDohHRb7l/j2+Zmx7fjwAc0B6jOgfybKMvzzh0GdUFbw7HRFCxcPthRXdz6g5Ma2Jvbnvj5DnhHpbsH454fLUY3gfMYqdI73H1bSV81e8z/F7ajIAxrCMG1XYc6TuBeieM+oQ8PwHZC5254rupWK5i1geNpeoCTh/JdYiwqr69EZw+bSDaw5IVXQnPsOmW7ADcocfBOkl4fJVwc0vnrEsCR9ejQhTwPHvBN2zH75oca1kMu3iai1ZYO8xzyfg+B3P4uffD7h8XtG9CIYfpI2p+sdev3slt5ZdglCBUoiUGaUzrAVxFqSJPbll18uhLaXnH47uoGOpdqi10Q1JWiLcDiBzoo4+iAnGaJYWtJKSyRl46LuGUKCClD7jznuAXgH21HbszWmD0MWuTYSN/lahwa4HCkDrk1CvyuwVbdvPCKcqVBDFkC0Y17QFSi6P7hL7RIXVhnZXhK7i0LGCO8aMPmQc4oo36QUFAS/GLRAP0ssmOuCfuUerWlXi6noEmMFKp4aGXgJ+uIC9nzs0iGJTlQHRyoYJSdGKsL4ptoRCfC6sCFADNI4ovQ22NgVWpIBWQffkylDlRtNrcC82FNVeLkbG5I09T35IoJStCgZsX9MNKhKfHQq+r1Q1dF+a/fqfBvIL/GK3f/urVQTM9rttMLg7XKqrbr8XFtp7mEk518BeutpREMzXsAm+eAK6myHZKqo2Okm7iDrs1JxF2jN2ZsRVZdLXwyu4/nsKwAMa1Q3caf1H2GhdzkhIYlV72jpFKTYqoCZAuoqYaOc3acEn8QWfxgNWLTjrihvJiJbNSVtn3aqNcFu3gKXSXuHmotqujY7abZt25KJEe/TdaXFOvfXEvwW5zgxQJa2pgMF53mx53+/NK7OeSI+w/aWw3ujQkjNH9a+qVK1yvrP5n6pmtfe1/fDxy6s+pQLpo17qq/fe1ujqi0BDxNvoEgGkCls6rNJVeh8hp8BdRjeuWJW2G2ejAM70AUBAmE2JfN2qV7rzIX6fGnH92q2J98vubbP9fi5An7Z/665/erfUyCDFzRLhUCppUx+NG2vUTvt4B2r3mgH7ESrOfnoYJnwxPOOz9IRXAQBWnHTGGMbdbTLZan1cWVqvL6t5ChiY1AQfLQFhVcfUbqv1zgNQB3V2Sa4rGW9tEjt2SFG4JnGrQgWynVipqJaUWntQW29LyD7q5Xf1X6+qi9l9WCsBBFzbcLXzQBbGH+LAhtturQ2g4fVWxio7W2mfVZVtKj/Rq9+qj1a9gYB7+iP7v2rdqNY/eOPJEn8/3xee22NB6gqWMpgyL0EKr35vzC47b6PHH6EpGbvQmfeNtsstZE8RFDY7hMLH11U19W1l+0RYlSN5bHRV2CW29DNUMxbRVg1jwkXfEbIldEVa/LAxE9ASyA1YUiAqulgwxozbOOMhnhBF0UnGqhF9LIihghMbDFT0PZOcFcJ13bMFQ7FxbVZ6bv4Z2zWEotj8KHupa+/fQ5vewLad3drKNUDlYjzO5PHPDQB0tWrhVbKMtu5ux1J3CYKzd+AVPDT2mgqMKWTaJtaOJK61kCvVlkvBx3PE8yiUX7BrduZIHSq05z5PJ04T6M6s8IUVqAMrj8duQT9kTEfOzkUWwGj23dlopz3bsCQqUqoYU8YhrbikDqULqIeCfB8QzgH43gRmzQ/lg8X1vrbe47na9QKt8gyQSh4W92Pmc5xJYPuv9MDx4YL5XSIFfNnHKnZ2ZdLTyT5kFbWM0mbxeuztyWJYYZVNIN8BkhTHYUUMFesakWNCnQPqxMr1q5sJfcp4mQasJeIQt3V5GC7INeD9fMSUE55wRFgF5UZxf3fGo3JyhWuTNAZrBhCt3TMQ7PGWvcbGcBPdxfRi/mS5tWR5EgStLd9orTaBBTS1AmNYQJGwA6w9yyr42CrMTUfB7NgnP0xVcOhXdLGgloDcJ9Rv+60QmbfPbTmJwlpV7dyyHCTuRA7rsaLObPHTnwhffur1uye5vVmfJQwUoIqo94dGyWV1w6oQWW0gtiHdAUgvbHB251OTYH7AVYWBVUw6jeJFtSPl58MUkG+o8Hv4DkCmgFW+6xGGhDhYJcMMXWRLykVN9McQ43zbY+0D+0iXijoGzK+SPUCjY/cm+KBbsB8vW9W2DqlVwSQC9WCN4nPZFITF+9GIOoZM+fJpDJhfmdMzzrqakyojldPQVXQ3C7qO73XOPR76Ca86Iku/Wd5grgnfznd4WQcOYAY3Kg1Vm2E1UYOqFBwBkf+WfFkFSdOI0gWstzY2xtYCLmCgHINEWhuDI1aXLEC3tY6nGRBBOfatN9Ap4fXYt5nCVLdlEtYSSdh6r6Q4xGlXTfTnoTtk3irHpAz5nFKj02ltyZj2HVrvmI2a0GW9Qv51XaFdYrJbK7Cwf0mWDkEjrwVAOGzVq/gSWpUSwuQ02MB3py2WnoddPmwiYuXInphwvyKmwop6EeQlolwCwhwglWgXJKIbBX0f0O8oey0yL04P3MTgIAIdmPjmmw75aIJj3tTvP1Y22yANRel4FHBFZinb/FOv3oZdMKzBAIoQrymaXrFNaL00611F7ZW9bxWoY8VwWDH0mYdtzPgmP+C/X75D1YhJR/xQbvHtfI+nZcS6JPaDmgCEO1KoU5XqVom2wFyMJRHWau0IdgBqbfbvSLonAGIJQRuPZIltWExZdp8VyVZRRd9ZYnYdTPtzYaUjNFpv3M3XBUzATtCUm5sitILAmoLV6bq9r9TakH1PNtSpdCGwXWM3G9X3Cp9ngYZMkKRP0BA4Rm1V1K7DekubkQIEEegcmATOxjpYpCnPAgy489GS26NifVUgY8EXX3zAfT/j8X7EZelwmTpcXnrIJUJTZA/dQZCmiP4pYWigw3WA7+0y+zV14KX2aaOJecDcBzvYE+SzQ+tv5mIzxPUgKq4V8bwCgaPSELCp7q+VY7es39tHyAXrx8wmKjW/JmgVZ6LX3rOvnaLcVMghY4wrgig+lCP+ah3xVEd8X+7xfb7D4zriZRkwvQyIHxLiRewsBfpnG19T/L6k7V33i3GqCLMJE3kV1c4sDxr2QaG3+fh9OjOB61SguSJeMquFS2nigp44ap+aOjf9PNdm36bjFbIyRPZkL4r4srUXtakJPnPXbKmNS3Gwx85TKWD19oqmHSHHA6QG4APaXohrAS6gYFatrSWHVUgCAVCK5NQeWBGY6FqSS5+lSBcT7jJwYPtcBo14vSCmite3F/SpoI8FXSz4cBzxeHPEekmo33ZIF8FQKcaVR8Hli96U02ujfu9Fpbylxf0SFFiPCXmk2FUeQ2t9gaBVKdMc0HecGhGnjHRW1CGidKH5wsbkCYKlSy1Zhm4tHADFYtYjAdri8+HH7d5r54cD7RwjwfnL2uH7yy26ULBqxBhWHMOCd/kGT/OI09xDrOcT4KgRjifcAvomFtbRjiSnZjeNKWbCZt4a05Tnzf58BJuDlntxnHauKQzYtmS2EqzjDNyNvZOM5ZCCoH8v0C5gvWEvq8bEJCluMz/3RQHqcQB7kHy/R8OcEV5m+vuOTKD6kGyf70YLxoA98icFiGdYdY73mCZgeBsboLzcs/o8fMgofYf1Dsh3BfXS42/ra8zfHHH8morj660C1cYjRooH1Y7gRZ0SVqAlcu+nA9Y1IoQKuV+QU8J626Mm4Zigg6IMFfVQrXeX/bcamJyvRwoUkTmJdq0a2XfbnTimbrnjLS87kGD62zsMHwLyQBHYJVLc8OUXAdOn1HOJF9ry+D393/SG10UBJcZqr/9DBhQ4f0bRrXgRdI8R9RTw9vwKSIrufsbtwwXnpJgOCfFuxZvDGTFULDlhzmAFN1QMKePz4QWn0uNXH97g5TwgvuswvA1Ycof33S10jpg+E6z3jAvLQGpy94xGpdeouHxZcfnS94HHxAZmmSBeHgNOPxtQTKRWKrDeRsSJZ9ThO1Kk50+02aMYQORj0spI2yqjhTNR0HWs9q+3lkeY8JQDXOlF8Pav37A63leC07IDvd1PGvgyv7YYyPbAcg+cfs69MX4XWbyMjKm7Z6GA2n6E2D/w+t2Fp7rUUCX1WbldQjkm1BgoSOGBl2yOyhFlUgJIN97LjpcRjfIhZUfrCthoBbcU6ShzxDok1FPA8IMgwpDUQ0SwWZ+hVIRLbgjE1rumEK2QlQFm+WREvrEq9FwMAeEDGmpFrNoCX84G5HuElYIYdUhtZJBTiLRnYBCnTEqpHch1SEww4kZRofKYJRNBG3qBxGHSsatIqeAwrEixohrnP0BxFyecS4/vl1ssNeFpOeCUe2ihQftwch89gmbMllB6sW+pcBVRF4Ta00wBNGGwGlix4KzA2gLFfQ+VilolUFvAHbqIbHNW4UluHzkbEGh9WFeKqOBhwNlyFvQAG1KamXCFlwnycoGOPerDcfu9QsTfEdOmzN0lq+4WaKiQaYauGTXvIpaStx4Kr9IJ1YkhpJXSXgk/EincUc4F7HtZ0EZ+AFuVvrpa51ihdxmxr3jz6gXHbsXTNGBeE9YlYU0JpY/IS4QmQ/KEwUm6JCa1LqIFQFCp4FhrqxhSFIazGMu4qX/mwdbFKrNx/UjN8qOqGaMEaVVwF1a6AjdMkXZDrLcee+9dK6NRX24I4OgaIKsAXcVhWDH2qzEVCh7zEX82f8W1Q8CHcsRzHnDJHWqRja1gIE7r11pNeMpfyntQRyUhTP48Kc4eSAlUtFH6PeFn4FEaQCYK7m0X/bLRTJwlavu54ymy7wm9qpSG3bixuW7vbZUmGyu9gQjBIz3AZ1wyia/Nx6DgumIbA9q8UBFep3xUhaymXBsC/TrQwKE4F8S5YL1n+0mjLJt9e7+WZHAOoVGc1Cr4ZbAZsHcFh0/POAwL/vD+Hd70Z6wakGvE9/Mtvn6+x9NpxHy+sR5tQb4A0Ih07lo/2p4yf4VmB3u+Pg4p2cxnv0cBVaAjk5magO6iGN6vaFQ4BzkMhHTxPFkLmvgcYHuugIqgHTRVaEwQpRK+qyav9xuTJKy23wf2nMsxox9p5wDwXA/4bX6NU+3xrtzifb7BOfeYcoJOEelEIZ5k1LHuVFt1rSbbb2bLbu9hNoX7SCBu/30xkkFYOCd7X+UMVi31VhOgQhbzMTMxMSmlzSmOuTZ7V4ktOdUUOCKwotGeVQgEEvCzXrhsEwp6+jhxsMdBalUg7/aN7ymr5LeqbttXARj6azaKj/O6ZFbAPuq/LJ1VjxRtZrbTW91H1A7Q0XzGjgHSQJ0A6Fjw6ZsX3PQLPj8+Y4wroigCFM/jgO/HGY+XER8ur6CBARzgQk5MPronqiyXQ2z22O47MCtqVawxkObpLWCB9+IMtlDQBJniXPnelxWyJkifNn8j9EUa2dddoyA4pUX264Rtaoa3lh0oMlSOnPHcficp4lAQQsWSI55kwJBuEKA4xBWvujM+rEec1w7Lktp5WTvrYV4N2N29nP2nQREOYUv2/NGb+jn2Lm5nGyFTSblVmh1/2TOBgPa+YSkI2cZfLfQBft6GKbf2CJSKehyY5Jp9e/wbsrYzsNmMbiwXwxJwxWxYK8XSugQ9RGgXsd4PFAF9Xlk8qGiAT7tuRRv35QrsYQX6R9Jga0cavQpFU0NOKDcKHArKHHGZSKn3ZKiM9twHZ18ZkCEAVkFJAV0suEnsKaklInUZh2HFSQbkI4He+dMC3K8IXcXYFUzPA8LXvTEaaFdlZBItNklDRbA8ECANC8GgMgDl6OA5ryOdBON3gfReW/t8oI1On1bolzPWlw4A1YvH99WU1KO1RZDaPcyK498+Q5aMfHjDfGLl+6sIuufAyu/DjFeHCSmQnn0zLngYWHB6Hw/INhYviGI0OweAaemwnnqMzwH9I5/d5aaDAFgeKqQKWySSQgrnlDfAPAB4PaMbcnvcy5RQ3g427hMAFPU1K/ZECpT9sjEhnQXjW8X4jrbo1eEwi40Mc5v3CSrWeqcmKlkpVrXeMbnulL9Tevq9eBGkc0QZFfOngFjVdwPldj4ybmNlw8LYK98o6s8m5ByA2iOdDWw24dz+VFH+/5Xk6mUCwsCAyBIaqZVKbxaV1cTvMQnyRTM5cUtkm3Kyl62NrsDqBgOCOhg9q+MhGsxh8pCsRnXmIVSjQIzeLBlQlXZAUxgjNpS/xQEmSqVCtCPfUAp+vdsip7jsRLECtrK9bKq0V7RUYOvT86TNHdGewhzQJO/jYtTk+9roTSFcO++igppj20B/G17j1PjcwJQ7/N3LPS5LB8yh0at89lkLbkz8QwWoRp2qvSWyNrYBQOvfSpcd2j0G9sJYv8NW6aoW2AbUuwP2FRY/bWTJ6D4wWNeOSW5YK9T6VItRUaonBntlbQ9mrYrl/XMaBVUE0idg2KnDiqCOLBu22ZYhGH1dtmdiAlaIETIOBAJsSLaumWqDiEwMTJTsY6VWVuQt4LaZsLWDVX52G9yTPq/AGRqmUfbTTAEAh35FnwpeBMhzYm9k2PaHB655jE1RWneOhOON4pb4BJvFmKgUux5MYe+4HcRQIr5xJnWoJYLB7NxFPva0ZFsGpzYSlWMl3ZWjN0EJP5jo0LRXyCEjdhVqowtSl5FMgGQy8Ybvlzt0QvR/rgkf8hF/9/KAp2lAPXXoJvZ0ur3vq3Nt5rSDMH7tTre2+2tNeW1/XPfPNpWRyARfYzB6L4NpBuFGgQ/YxOz897GtE43Ggypp18RK2hZ8O0UPAgb/Yj/z0axnKrHarHBLVBtd1IVq5CMHtaf1Dx2kGyzjMXGbvVif9frGiX1TjnrXygrlnoIUFoJfUIrTOC7if0oJUBUMMeMQF9xLQRDFXBO+C7cIQZE7tXNCriocEqWxFLiGNvqmN1vciYghWIXraH3hBjy1Oaj+Y2XzwRsFawPXZMlcqy7xh8M2Rq6NpasKFDRKsI9Y0wQGG1GRI9kKrV/fqoM5R3x7uUOF4FI6vO9v8FxGvJ1v8ZwHfPN8h/NEBVBX8oyrtsQFoD92sM9FVWpvoK1XAJsvRaO0XfVW7UV7PClufQ56nUgYmMBWFv6/jyfbxOYC0JmftN+tww7wMR/eXWhX3jPeRMJEG5gW9v7bP//Klt2Qhfa/+kzqegX21C4gWsVXPQMK7BWWGpCHjVGhiwM4Ap9J75U+dX8mMF0KwIVnCDoJ5hyRYkSSitu04BAWDCFjrm+wlIi1xEbxLwMD8rCw8kYlYRcY5DjDTUDIWVSCzpLTTfTKeh0DdkwbGBC4Pb/a81xY73tOflgq0smZH8GSOUW/k4zXAPYEiwMmFg/0QO2VlMdEzRWka2CxzBE1BJzCgMUGXS4l4pgWXEqHU+mx2rxcp/FS8dh696xv1nUW9oloNYDjShDHrtc/36nwTH4YfLe+cOA6hjOQq4mPiSAp4Foamggw+/unGDjaSWjz2odrujbQzp9YddditN1P6eVH+4uMtAAdeia5Q8ezbCmAvYcOHf3TWq9Gxg2PFXJES55rdGbSVkCiHQAvvzxivhekZ6DO3UZFDYrpE35O/8HaTUZAR8V6q9BDaQBG6jLH+i0jcqHxxVhxHBYUFZwPBx6dlwBdemgA5qiI66bE3UMQlX3fYeGeW+43uw8zE6znX4am2k124daOVwd2JS2m41MG+mCpgnJKCGfOqmaszbgnLsp5r7vCz/r6YLEMk+raCwltRrktlWJdx473l2tAqYLfvjzQtjN9SxcqhpjxtIz4b97+Ic5rh+nck/7tW0QBsfyie6Lydz4yOQ+rxWbq56ygHCNqR7WrqoI6JQzPFHB1Fmi6kPXnWiXQbZ3KIJhe0V+kFy4uRy3ZXh35melCIxUrltVBcfmC79O/3xUlBVt7gedx1vsM0Kf5fYbMQqQDLPFCvTh/dc8C/Gbk8WiU7NpzAkHt0M6qf8rrd05y69MztD+2UTtSKlQK4nkx5DZBex6+/VOxqmpATRw+7AdCk3vPam11giZG07M5vB4LpK/oDytS2qUCKtChQpfQgleNQA5CEchCmlFYKhQbOqnR1JLboWEUahFMr5ncsmGf38/GgefIEHugxY5/aZeyo4WC6Kmhxdqnq2rOPhCr0alHpCbUjjL7h2FFl9ijcpp7TFNHxbrCi17mDrUKTpcBX3f36FPGw2HClBPevr2DXhLiC0d3cIC5OXR3GCvXpYwB65EVvdVGAt18q+guK6pVQWRVpNNKCtOrhDwIDt+vGL4/swp+IGrgSX0dEupdj7DYyAegVWbDhxPk5Qy9u0F5fcOvTSsdVBeBwasovl683jhXhOpjEHioyIX8qXo/cHZgSQg6XAXz5dABURAumRWZFFA7o9p77L9aYBQDws0RoaaW5NbLDAyVwEjfod6O2Pe/8g8dYf9cUTubS5woxFE7O+ysutj6cMxxSba5YJEAhkcmIorX4wXHtODX8grnl6H9bo18I6lMGNc7F1aqEO/VKmq953FHhw3Ix2hzyQLWWzq0+RUA4cEiBagnEzuYrKILIvoigpjLFVV5/2zlVCHTYkBD2BIfo/YSIAoNoa+vOB7ocJyJAverHRoB57VDVcHLMuAsPbIGfFgPmErCyzrgvPb49t098pSQHiPSs2yHd2WCHldjBRj9KyylBfHc97EF6z7rEZbYOgDka75PgFghMHDP/Ar6xF63pwtp78YS+AdfsgEtYWWA36oCu4qkBFKq8yGidgHd8wq5eEWMSXez87lA5gJ0G5h2VTX2vVGum1t0HKDDuCUJACthBsqJCbh1zysOnWBZKSYYjELmI3go3qSIVnnRoKjiAAKDjVoCcg04xBUP6YJP0zPu4oS5Jvx1eIOUCqaxotSwVaqxJXSp5C3gtKAyj7E9R34Qn9t6Q1pltXl/rv7swoVh4Zbru9Do7FxXGPBTIS8XBsRdsmfdAV3k83W/lisqQus3q731oHcKGQtiXxBTQYwVtQYWfXJEnjjj+ZvHO7w/H/DNeI/bfsZp7fHhfMC8JlyeRmAJ6F9Y0YoXXrtURR4E0gn6l8J7sf7E2gWs98Gqx8a+6aT5HR894+0MzrSQwkRVIqAaCF5/3JfrduT2q9KYBI5ntNmzKWwV2hSQD8kCU/Y1p6kgTQU+UqvtC2938F7KalzZeH1+0rc6sycwhpgWMiv8tevJLTcdYjUALhkKAyA9zwQBB+5ntj0QBIgrk5DpE0E5buBTa7PqgPkTJa3PmAyyBMxzhxQqDnHFXZrwafeMh3jBh3zEee6xGv3dq2oLBMN7RXexGfOLV7YVIpWz2s3G1yP3VJpZsVMTgFweBJcvKyl+JtzkqrKuxKpC4bAyAucvOkyvAvpnxeGt0bEt948XVnzrEM33cK6z64ZQ3dt8+aCo92Q9SWSfqlYh6JEDZCZTZcmCJSrmqcPTMGLsVzweDjYrN24HvrB3sn80No3ZQT4IlgPVZUllZW8nbdoS0R1I5TbiApt5jKg9NrZPJZDilr31sDJRzaO1shSKg2kXUIZI5t2R/ql/CQgzfXM1VpTbaFPKrTBFWc49hipBy8jYs3SCIGLq1d6SAtRDgtSRo52GyPaDcwZyRR3JnIyqCM8XiAvfADh8t6J+MjR1Y/d5UmmfDhos94Lzlzz3x7dcAFc9zjeK888L+vcRD3/B2PrDPwfbTW4yDscFMVYcerZaXHKHS+6wlggB0KeCTw5ndKHi+eEGNSWM35O14EBbPgCXL6gzEArnFg9PFeP7jMsnCaffY5LTvwtIZ+DyRYV8OaGuAXjuIIugex8QZ5BufVRIj0aPrZ3RwSsocPgiGN6b7zwCWa1C+GS9qgYEnr/oW7zWndWmYPCauydFGAVrUHw6MlCsKjjNPb7+7hVEFONxwdBldLHgtpvxq8c3+P7Xr1u1da8SHIz9FxfB8Vv2Hi+vDPTKG1BBcUag3JEZU7NAc0A4RQw/cI+XA/OJ/knRP1U4ZZ9xouVUR471kQyMP/BawsKzb7k3KnJh1V8y3wsAPvwpoD+fgF+NePhLVvgf/4TJ7/gdGUah+F4BDj+wzer0OSnf3uNceqsEF2B8x3m8+chzs3tR3P+KOeL5q61dtRwqymNCY8r+E16/O105xStRnquZgB47WQEMQAscOSNMUdUftkcV4A0YmkDRFi4aqkCzsEexCquzAGoO0MwSugsbhbrRZTehD0uCs141LbuCsqPvZad66aV6gIZTBrQ+XjZeSwt4mwreWo16IpZ0Wz+oo/YA5/p5kG1iQ07Z8hmrN8OKm2HBTbcgBgZ7y5KsyKKovgZFkDWilIBswdaSE/SSEC7c+HHaGv49WBR/XvbIgtEOWwVQgBrDRi8VVlD2o47o0Nl75UJdsIqUps0mtIu46lUMoQmDOO2YX6ftNHvwwyfs3ivtgnaj3noS00bB7Crl+vFeEGmHR7NP+zrn+G723H6lS9iPmGlf96qFXSsVKLmmoZjpL7s1bUG+//72b/WvLwE1RExrQhDK0OcaMC0ddA0UA6kEWDaxk93f7V6wIcGu7t0F1MggbpvnazM7B6r+aXRKrtEajaIPgGOevNq4i3V5Dx99AYD3B7Mv2A4IRQvqNAGxr+j6jJthwbFb0QX2rc1Z2sznxda4qrQD9LR0WHJCviRgCW38RqMq74U+9tdrPWrVAIo2d7ABVcLgbJeUubBPCxCs6hcA9qHu7pciQqF99lVy+Q+9PBHfPbtmxwaiABboobYK/vVDkHY/f+8REFh1E1ff/qnk9+977Sv2LlA0OUqOdr/a5gh6MmDaBy7EtQrKEjHHDu+WI/qQcS49hpDx7XyHaU1Y10h7y1uC2wJXsQp62Nas+Qi/BcFGdR7JVCgDxVI06Lb/XZSnA+rAIEFW60sFjOEBVnBVqSHwMRNH8KP94F93XymxIsTagMs1R+TKarb/8Dwx6ck1YC4R57nH+Tyg5AC5RMhC7QkCrNrsc195kt4Sddl8MODA5o55IlsiwxEdgmAz6wHDPhSm/KpAVgjcUX1kJ/vzXuSnAxB/Rj/1vQp4Re2KvWP3tY0bDHYvzsyyV6kGjmtj6/hnNhvf27naMxNYC8cWJ/j546Ppml81ZkjIArXeQYi0cR0A/aPTQ6USHFynhBOA7+db3qoK5tTh7XyD89RjnRNkkQYuNv9lz5fzjU03YadA7XN2Adgs28j+WBPzoc9iK4g4SLTyuksntmxhWwv33wEmirkDe7yNyEYPwWcHW5zmtuTjgiRqGyWT14iSqWOibdSJACrIVZDniHnokAvnAc9Th7IGxFVa/OfJaCu3WmLq9N92rsD9vl2T7b3S+zMK8DawK58SfIyZV4J57gatPG99qwmsgrt75k43dqaUbNfZtra9d7DYU/x77q/37Ard9oILB21UZDvPVTYGtgf8vr92Y9ZcaZoAlseZsFGdVl0r27WKos05LoOJVPVkWuWjYn7l77P5HlWel11ktjblBFVBrfy6n9lzMTA5cV6yVAquJRvr5Gustt9LL1hvok1dYAJcO7JgIOCkiiosAaqLJokltNrGUbZlMvvx2H+r5KMBHXHdim8arYK8c1f5hnTpmumYXD38aR0xl4RSAxlKC/36BGCJXQNvXi5GJy622MprbEJakffqQKPkXXV1t8c8J9EKtiNaRdifa2N9dUyS93FXK66Yf2d+oFfnV1i4rPv4tK1jBvIloputjcfakgCeS3HWZpMqegU4+981AW18Evyc3PKKqz907MZ8IA09nSrC/DHn8adfv3OSGx4egHHgwQ+gJTIVRB2rNqfiSWb3whXLB1Z0ncJZO8Fy4301NIB05qJIFXLmY0A9U09VMnvwgmyCHr6A/YuiOxW0Xq0kWB54u91zaSiaFIVGSvKXXjDfB5TRxlsMm1HVCMyfZW7Q7xLG7wV6ZkUXHftWNQX2NTxOqIcO+bbnQbFkYM18pnWH/DcRHg7/LiMbwOefrejvFvzxm7d46CZ8MTzhNs74/8Rf4i/XTwGwkT1LQC0CXSJ0FcgaiI6mAyQLxu8j4kSxqWiy9ssdD7s08RAl/SIQ4ToVo3SGRoVaHtIWpCmQj2ELHoNgeYjIx+O1UZgxp5MJskRBvuW4B0el9ThA+w6yZsT3Jz7X28NWEVm2TLwCJpQEQAJqNWGwmY1k5b7fDhhgC3od7Q82GsqVvT3hdrqjUTA1BaAbgDOA8wW6S77j61eQsNHBKcNt7xEYEISg0KxU+9XQqBve8+OKqx+vlW/w2tOGuw9Eg5/rDU59YUwoinJOiI+JbIIXor1xpmOOi6H+PiYpgEFgBUV3BgZJZQjsTXkVTBTHHPeoWB8K9nN98xP7dUnrCTZjTreZyQ4yWGAQJlOrrtU+W7ee5YXBccihja9a7yvKbcWr2wtuhgX//NV3+GJ4wrfzPb6d7pA1sBe5RJxPA1FbP3GyQBYm/N3ZnOuFh6Zk2LVuCWlTQAasvSE0204X0vJbTxS8WojmhGtnlQJDIVnRtfFAWZsgCQEuCjU1gSnrUWzB/a5C6iNwwmqjL3w+9FK2ZwlcJQjxtPJct75+goGVSXDAdYKh7Be9+rzBrk0VeC7QvF79fFOBts9t1WQB0EUgbclTnCuO39FHzg/0YT5vUgq2eZqBe6GeaPRxEaylw3pI+LfdV/jV+AanuceyJNQSUHKAThHDe/qw/UFP9XlGBk1QzS43ZJ4F1YLB5TagjBQVWV4ryrEivpkhwuQDa0B8TNBnsXWPSLNi/CEj5opwKk3hvXxyd+039olTEGgl1XavBkuaFQPF2BUMw4qfPzzizXDCu/kGH6YDTqHHOiXoGqDfD6ir4OVQ8TxUYBXEU0QqaCyF7sW0FYxqvA8U1mOgGqZT9dUSs3VrcfC1IqhL2qkHdqLBZuECpVGxuS/SqVBILOhmHh6QZwNyk9k+cBUctp7DyM+TXNucWxVBqKYK3AWs991VIuziVwFoQlROs21B7AqKrqlSBNOpySkCa6aQ4G4knOQKDPQDYa1AscDPKOhkPukWWAYPhDmuw0cHubqw01IP3zPeyCbG1NWAsg7IQ4//b/kSf31YMHYZfcr4/v0dyrcHxIUCYuw95Oemi9rsYmB51W+JnT3vMCtSqTh8xzV7/KMe8ytSPr0n1hOjcssMUd6nphOx3FvstG7MheFxo76HWTG8vUDWgvnLW8z3Cd1LRf9hRu0iytAbVdpBJgNJrQc3pIpffvoeXxye8dvTA96+3CDnSBEr29tSWH3rnnndp/uxUWSlsoLUPaPNAnWbBQzMrOyj93jSbVtM/T4fAnJPAaPpU15j/4F9zqho+hjObCgDz+cGlk62b8TGJVo8kcct1pUM9I9G726igTxTahLUo/2O9eSGVU1ER5tGgM+ydUqsz3WVQh2JYD3pvMeAMvJcj1No5i8OrnYJugvr5zcRuHGavbQxfeWgbe/p2ei+C33LzTesZl4+j1g+LdBjRn9coa+A088t5nzsEaaAmiLWxLnGYyJV+YfTiJwpOBVTxbIm/Pb9A/srAWhfsf5iRUkV+s2I278JtjZgAgsma5fPBS+/J82uNCrWe0W+NRD+6xE6VuA+A0fFeicEw+eAMIU21YEVSsYopVfG3b1ifmPFAusDHd4r0qkCN4FtireC0y8UZdi0OuqhQI4ZEhQlEEgMVfAX33+6rfmlQ3ihCGacEkIRnI8HPB/2xRwFDAguo2IB1djzQ4GsgnmOiLMxOn5QLLdkZ5Se/bpMZhV1je1+RYHpM14r2TyC9ZYgV1iA/pkJvWsb9Y+szsaVLXY1kcFaO8HhbcXwoWB5iLh8ypGf2Rie4w9A/9RjeG+juy7A4TsyHoZ3ZKAst4LljrHWyfZLNSXnMgBqleZgyTnVs6lwzak51CRwpi9g44nOgtu/K7j5s++Q5xP+Ka/fXV3ZUW1//UOVAHPU3kMZOmnoFns/A0IR+uawOXRRoM4MYDUK1PoQGExtC8F5c/ZRrgq5e7Wq5f4SPYi1BvV9BderuJxjpsBYEPuK2iX7GUukrP9UTbEXuUCy9cVVbRU+9QBJdBO5wYZceT9NGBkMHdOCmzTjdXfCQ7zgtpuRDC1z9F8LUaGwBITZ+4a0zVSNRmOKC6xCTQRJt7gQLpffxBVWCxSjwMfkUOJ+u14XDSvYRmXsm8kBNGVE7/NSEUSx+cJGz5RaganwWqzqKAq4ki8ULRhqzxC7aoMYWrl/pg1RlVb92lRXcV112fWYKfh78lM2nAyi3ov4OIJrw9O952dT45UW3IsCtW6H9VU1ZYeqURzMNv7EA6VRl6doQ9vd9nFVtbxShwV47ztVSU3SRF7czouJ35Re2XO8o5nVOaAs1hfjKP0/sL33s1n3a39VzTVE3nvtERUpUnXwrpvwkEjjA1jxcES4rgGwpFaKWMXEetgn69dartekBf9hd9kOKBhrowkllS2YpSDVZh+A+4PryrlU+ikoEIterU2bfWsJkVa5Fj9pz2j7nH3CpjFAowM91xWwNppMjAaqgCLgRxQeo2f9+DPDZucfVd+l1sY2+ZEvb/3Ku58vQJpND2HnVDwo2Cq5fD+qXFuCbL9zOfcoJWA+d9A5bj58Cc2Hyb5q2T7c9qxXuZ214zoJwQK63oL/Y4UeC25vJogoXjAixwg9b/NjawfuOYDPLnNsh3axJVik7GITmdlVC2CFrtZ7LGggbwiKFCruuwlv+jOWmkjtW5OdjdIU2EUDahbIShqdZGktMnHRq0T6qnIUgCocXyL2d1hxtXa7wjEDD/vb10sTzxfXnWAlCEapJ/Wt7e094NX61nffN1vQyuS4sQx097vtINLmu5lomk/1Zy276u0uwf0p1sLVmCgRXsCOrrx9n/6gJdxAO1tcRdfPDL8XVuOkAWk1KfLBVGAnA3MiEHykmjFC1lOHcxXMKXHW8blDZwqvYYVRincgml1ftX7pUNRYPOZHXQxNCdCXgykaD9piCrjgTNR27jUBGE+c7V68f17tG7IWyJzbeQ+AM1rNruhDbNXUGW1qrl9xkxa86U94Nx+RAtltIShqrFCNgKnBds9cM7V4o41vMRDhyoftzu/mg933ygZSNup9ZKDdJnMMAlFW24P3o3rVy6tkFWQKisVuQZowG8w+GsW5ahv14zoi7Sz2fQk/V3w/Ybf4aAkugC3BbQKHH/k+Yx4JbK+44f/UuQuCVyHBWia22NYZHI2aK3ZuZk4NaCP1LB4Igb21fZrJonrqmZBWMglLCZhzYk9qjqhrQOjpBEsRlDXxDDTfmrqCYVxx6ge4Ds5eK4bVd9JZNSpcbFa7CgV7ern3BBoIqoRQIQIs2kNX4QRIs4t9j6hWGMPB95Hd/+68cnCrHCt0LBthxkYapq7gOJJGcboMFEoLFTHSNwR7juli85BVINl6iMdq/oV/2M9uwJQV7MpuykScSYt2RgvPO09c0NhRAJN30lsFAUqK7001RufW2ubPO81b3CjOagsw/Z3CopatB2yre3tPWNDWzYWDozGgvEJdBU37yBkZLbcKfv12Xy7G5udY7/dqpr8S3I1TJRBffiq4+fHrd09yVYHC4dTad9DR7siETzRSNZcN0xV7EZp8IGISF0UMDPKGR/K3KfywLWz3ojh+S6NeHqzH0XvvgqECKzB+qG2ukgtueOAzvLexLzYaob0EbX6Yb+58VKyvK3SoGF+xsUznxM1rM7UAYC5ic4ArsBrCfDdCckV6T4U17ZKNVuKBqx0rdRqkjX0oA40znQXrKeEsI357eoXz0OPL/gl9yvhieMbLw4C3l1v83Q8PKHNEeOyoNDeZmq8HGL4HOjp2iKGOzwpv/GaCUBEnE+8aQqNMa7BA6cooSeVGYE+MRjc6p8/qdQJQt8BdTaSn9hESA9WoUVGPPXAzbM+iEtUQMy2vAvZWtc03yVCeAI3dJr5TN2ddhogyxhZki2pT1t5o0NiqMT53riagRDT12X1yfZmAIQLJ+vG8ygEPohj8Bgl0QB6EKlpl6cpRGMXK1yyuQtW+xN5vTYJ05rDyag4+rIIw0867l/8fb3+yLMmSZYdia6uqmbn7aSLiRtwm82ZWA1AKqAcSlCdPyBk54ID/wN/ADEOM8Acc8C84ogj5HimYUIQD4glIoqkCCpVNZeZtI+I03piZqm4O1t6q5ufeLKRIQp6LhETEadzN1LZu3c1aazPQHU7aBMLEnpfzOtVsTWOAczLyTszWrbq7V+T7Ch0q4iEjiELMgS5TRVkZiGwFegBc8Z28m9O+N0TOHAXg0EUqBPcg2JN5HQLmHMkhn29RVfBx2WMtEUuJmNeEvEZgCZA1ID4HG9fRD8VgndrhWancvumsZB/pNPXAwYs4oRA65miKMhFR4SNEPDBpsDOhz0lnfvZw5qG5hdtrEjTlsJcCIlulcO122GHzFJlp80bDcAVla8mMRkhVcuUt8WqdJhv90tY+BNJJrMPe8iG/5Gm6Kozo0wmyEyBF6G5Cvdu1xIPXaCq3myDcKRvpYvZs+987/wAQEgU6hqNwZImJCZZRsBz3KJNS162CMHwTrtp/q627QQRKRToV63Lw3KlD7KgNMT9gwVtH5VDFOIwF05AhophHbtIcuwKhwx+jIU4AsPu44VW3sTYC8vjFEzJSU9Q6SdturibFNGbcTgs+2z3hy+kDntYdvm1vKlfB/PDUYdrOMW/K+KaOzyBemkm5Cq4GC7Dm2oPjbRZoa1Sjw7nJyfezYt138ZXOWbRC8BiuOP+0CwGQGIga5x9bWslKaJlGE04SwGfJO/c12p6oQ2g8uuD24/vP9gULk+y+tnndVmxQBGA3QOsAn1XdZlZvfFQ8Z4RQGl94nShCWM12yhQs6ekw1mYfFYB198KqV2Ir41M124lYZ0Lkl3sgqkC+SkBggXwZFMNZMD7a+9qleVdFA3D5JNrzV0tOpXemoMg3Ecurg4kGAnUgDLTekz8hLRDuttWSIt3s0cx9FRbtSZSije+TYgJYa4VU7ot0qo0DrBGYTwHxLCgiiK8KhjHjUujTH+YdThcWssolAasgPUaDSZotL3b+Gbe3Bbux+yrXaNmOdAMEYpz95rtHs8tNwpSO0poIy8BZoRr9vLSz3ATp0kxdDXa9uO8lKwuZ/pzmgvS0oA4Ry+uxFY/ZhbYZxN7pj4x1fdRiTRZbOcKo8IHEWZEsbvLzPJ5z47GXKaKaBsTWVxCeXYlkKPUq+I+rIg9W5Jv4J2Rg911PjNR41bHQDpc7oi3GB0Byop3tiWIz3VETY2SCWC8J88OIb/7mlj7l3YI4FdQaUOaA+jhg93XqSWwAlvuE475ieLD1rURiuZ8qI+2gvDJ+92C+2BLrEoA6McHFKaFExfTJCbtxxTlWrPuE/DwgrE4x4fve/kpw+Lrg8iaQg1zZvQ4rrFsZkQ2mDQHiKXA5X61IU0b+fo/0dUQ+KB7+JLYxnoMlvXfTgg/DHo9LRF2YoYWF65SO5PKXG1K3wkw/WxNQ90xqh+9Tg6y7eF2cLQ635zR9z9xo/gzAlKGLQmpfx6tCwauCN58/4vF5j6Xsr0Shyo7I2TrwnGzxDjgyaX5FSls+AGEGbr8qiLPi+Hlk1/xesN5GpJPi/hcLQlE8fzni+Hm0wg3XtA48j3bfKYZTxfEnEfMnRrc4S2t61MQEOh2JFHOYNSogcBSCYL0f8PAP/wRlvgD/J/wXX398kluVm6oq50COyQIh6zjaYdeCLwvEPGHKO4COytTNnkqrMjTIICh+MD4s0CHg+acTK3J2yHkAHzIXkRATF5EB5/8ViiYh155sbg5+DT3B9QeD24zpsODP332PUgP+9pu3WOdo31eg8hBT54UB5DyKIOYF4XhmR+Z23wPcBtuybkquCOjzwYKJVZQ54mmekKRi1YiAilfpjC/2T3hadyjnBLlEzvpaWO2PF1wF5Ftlz6qCaMq/nSsIikLNBTmYYIIJIACAD+b29W3BfzTVt8Rn5zwTf47BxUM2MT6AVoyQTbWzDlT6lWojlrw4ojRstQ5zuGQGH/se0DoKIF6KdaRMPXXk+ANXjiaUWMxOwaCn2S/ITay10X18hMLVa12BCeRa/oCPZ5y1ilbEweaQ9Rl9/v/g11U9kCSPN87SBKtqROug+lxZ794GS7Q4/qBaVdph/1Z9tgKTWkDrlX1HLDQY/gDorkCGimEorRqqCixDpUJk6snp9tU64i8CSI3RBKfs694xbAQPK4KsTBJKCVgyhaSCVJwyBaZKDciZHBdUsW6WYHhGDwz9LSvaQPs62Dgk6dyzYJxRdgzQgjzuE7PpnbRgf73BpnvNrjxHnwCi0p6DiiLZs3WYuHO0fiD0FLaIA+c2v9gkFbT6KE2duwf2Rr2IxisbbA6zWHJdOUu3wbJNE6B1uiz44ZxwS0BShLSWE6DnEzSMhqwwODTQbMq5k12RGq37HYxb1ezcEkYV5+fCEtbus2tShJUBoHfSQ4apByt2Hz2Y5rOKs7aZqeFiI33EjBu94+QJgY/mqoZUiDanFKAgCgBkrz2od1EseXLlak/wFT3REkC3Ikkb+HKDENvh7Ry2MRXOkExnfBKP2BuWW1VMg2Jz3s1AesYVmokiU+i+1Qpofu2Nd2ed5K6M34NHYHNNwbrX0cbADECIMDVPK+a4jxK0sX9iHEWAXWMIEyIJtRXUHGEDAHGprbDclOwt2PVZ8VK0Kxhv0DehcM5lKzY5mqIw0ZXVYo1g84kjoCGaLxajk7yo0AGQeYVMhEzXYHSj6J0htI6Gf83XeJuQuogRvHNeSJEKS7W9x+v2WZ/D0eCJBscLq41T9HgDlmzYdIW8Z4wzHD1mMhuEwOeNL7fBVI35TOtUkfYZEirpMypYzwN5e9v7t3sJGW02croQ+uz81S3n2c8pItWq7cFOCfJkuVZBTAUpVqw14jlPOC8D8hqhOQBGq4oXK8wv7pe1QamLJy/Ndt2f9aKMFC90qo1Mkibw6HPXw9JjIo+vXGW32H5jl62/P58rkE7FEE9dx+Wq0LBWhOMMmQbouwl539cqgkkx1GazC1AjIeetu6yCpupsxRPJVkiwGFlybaMpMRiVpXW/NueGqY6LK4hvzh3vkvl9a1JgFQyPirjynCujjY2xmMTHRKaTjeqxYg27njCbtsSxiBUtAm5/xcTp8T4g7FeUNaLmgPQUcfhKOzIkMOnLhz4HWbQ/o4YqmRTxhgXJYKgm6vHQn2rlZ8slQgfa+37IGGLFMkY8VIF+IJ2nGFR4eAq4+8/PCH96i8tbNt/SRdvsZ7clLx6G1Z55VOx3K47nA25+o5jfCJ7fJWAvGEZyz2/GFZ8dngAAz/sdaogoi0AhSIY0q6MVYI1THxZyiOukiEfSFiBoI33cFjqMkv4AAZjfChq9zH0TNj5KgHjI+LPX7/Hr8Abfv5+gC8VzPYmmAJVgfsMPSEfuifUeWNy3B+6l6UNGOq24vLnBErxIDUgVTN8cIecF+rPPsd6b3XmH1kLB4VSxe59x+oyjhTAL0pG23z5nZaMi7/WK969+vQM50et9Qb1sRnz+Pa8/PskdrfftHd155YEzRTt4rg8uP0B85modBTj3Gat+GHMUgrZkKBQPloHpoTQ4k3N514MlNbP9bK0dfuCJtY9CqJVebqDqbLWEpAsZ8ADKl4hZR/wyvuFhcRyAhWOEwszEcvpgVc7F5loaf0JFoKOdXJkVUB+VA4AHdGWwjFibYuj4EeQ53Ac83u6gKvir58/xIR9wLgPOhWqzYSwGqwvwwc1x9oDLAlwf0bSiOelqUJlGBteEOlFZeb3xpMgue0fHthq+Hujf8wNhPdjPuaMuxhmzgKWOW4inPWc7ANQ2Z3RjdUVE8GcJVbCB9s5faRL42jaGH0Q1Gpd4DHbtFnxkdjcDPBGxA8YTbYOVNt6kQyG2c3KjdXGHRN5L666JrSeDLPJrAjuvLjJR+3rx3tCdkgVHQQEJDOzjzIN8XezeLcDzxCwU42wVk9lf66aI1Pk7EEKtUJS3fAVttm5ZBrAEaBUsgV3cFg9fIuKRFfq4VKSZUJGwuOhRaLMxWwIEKyKsnRu8hYSLURPafSbg9LjDukvYDysqBE/LhOMy4jSPHJm0RMRTIFTblXALg7OtvdbIwJBohGs3xcRWLNntiRg7//zd9VaQb9k597FPNdEuwsJ9hCAo2ZKBhW+wHvicfBaviKAcBkhNvcu0QTO0Dl8Qdr7aYcJOWS/i+AELuHATuwubjMUTG5EOB7XkFrD9sxPSI3LoAZAl4poLtHROrowjZBxsvFaw4gRIxwAAg0eXQyKM0jtztpYNsaz9j8/MDqAdhdl88ciCwXBU+LxoAK2b6rA9AE0FOKzkfm6756LK/RoCRC1p8XEcVpgIq6BmQunOK/3y83GHskSEkylCzt6Z0+ajtuvMh9Z9bPv/ljft49AybXw4AuVBIIj4+HjAnCP+7fgTfL+7xS+On+DxssPxPEGe+lzQsPJvr+A7rLLBZo1eUhNMCBHWPUarxvuZSNuXliB0cRMT4bqnjRcbzxdnafD/fOhJFos7/f2IajBf40sSN8KOglYsFLWCTOwjl9qyVkdWULehCasIONLO6SsGHa4DbTgGwv8kVoS8ca7ua7bw6SBASsBmOFvdjVTGtmuOlpj6z9ehP2J+rV9XSxCL/1ubb64mACWVs4vpZ5nsekdyvWVXwrsWnToDTE/sksaROgh+Zm4vpkyBar+bAgdjACaQJQeEBAzDClVBGQtq6IgHoBeRhiM7z+LIonU7657vH22+eI2C5dObtqehQBlNwHCwA6oCeU0IQXHJFE7MNVAkqJgBWxAuVqTxES5SARjnXANtkAV6NDqJ3693Sf1srRFtTq+vZU1AveV7sDvsfl0RLqRChGxzPxVNz2G5AVSoIRJXJVpr2BTPAiA1IR5HxiWeiDRbIeJMAxM5Xp/dY7H3FEG2eKshooqJVvreKECcU2sGkC7Tn00dAzB4UUkQzwFpcRles7UbOwvFVKo/9g5uGdBRLwogCPII5E+ABl+uVgi3tdMDrKAs8DE0dSAiYTjSd47fJeQzkXQBaOrNDYG2EvVDlABa0a1MfO/DV4rpqeJDjbi8Y2IrTxOLKoHPj6P5aER6myED1Z2nlPH9h1e4fNwhPEVM7/k7S6D+j0PL+5QH06nRXuBKF+5LQDA8CmISLLrD037EeKTGgxeltALLTDHY76rguAyY1+48HAmz3imWT7hn4nOAWFNDTLgR1oldXm8KFKo4vxOUMWG9ZTeefpj7JJ0EOQ08j/c9n6DgHQtBcVrxv3j1Wzwsezw+MIZa7yrKwITWR2lpAnzyhxQ0mHBYgOFI3q0GoOx8ig6f1/yuoI4BT3/xCulErnA8WwLsBaU9/cLTzyPObwNqAg6/C63g4ck8/Qlt3MVQAa6P26wooM+C3TcJZf7D0tc/OsnVlCjoUwpkzcAlAENCOewIVbbqk0uku8hSTUD20SpVkY7e+fUbIxTNR2GoqfhCFbtvL0xiLcAu9xOgE0RZjZSsLRDiAckAiFLtQDg5z8pk4FNoSXRYuZLxIojPAXoOOJ+4TGFmFTueyI8aHxWHb7J1Q1mplrW0AEx3AxMAH2MQQgtQfZahi9Ikg6FIDRhOAed3gqe3E2oJ+Cv9FL8a3uBmWHAzzKgqGKaMheTWBu3zyrtXffOhd7gdptC6Vgb7KWNAWClWst7aAWiwEj/UlzeK5W0xZy5AIfQirCTLl505DgVkFey+p2BYmYB1iYRgmVS9PHH+p/OrpFSbLUfoqnPreCHSgpw+AkfaPDzOTLROgKJBzfLOih6WWIcMxMXI72PoXV5HFhwSN7jNGoxLZoK7TXJD4Hy6aWSX0lU+oyfz0SDAvYAQTTjEB2Q7esCFPradZlhgGDJH3GgQpPuBFX/r1LpAFa/RIPcuLrOWto6t8xQsyVZ22AhBd2EVbbzWcGG3ttZkpxKvOz5HDE+C4chqZzpXwqfmzOJQCtAChFJa0gTAZugqEzifi+zzVRdys+LF5q+poL4fkHcJ34+Zs/TmEed5wLok6ClBFopfhZl25ZXXdGYClg1doAlYJmkdKj4gNNuE4gcziDUAZc8Df32lyG9y/z0BZKiQWJGPA+IxmKCL8egWRryriZGkWTFasKtpgPO1PGGSagWEleulu9TESjx4qlOwfSnXCYH2AMiTSi/gOKwPRZqvFVejtuIL1GH91gHzWdbzDM2X9jEyjsA0tlmMUigm5Ml3g3OO4SrZVgu0+hvZX9b5jQuDzHSqiGd2jDJ85JWY8EnvVlONXpqSqaN2wlIRlnxtb86pL8oTzXxAGUxAyLisWAU1RpwXjl3LjyPCicI36Ux7SrMaheRaxI02pB21AfqLJkDnxa6RAm9SWLn2bljIguPthKdTwl+p4De7V20k3Po8YvoYmKRYshovFPBwASQNaMUUdvSs67UTS066X+k+xwUE6RvzrUM5GbTmPaBfXMgxi+yEXJ4n5GMCCu07ZIG+535ll8W4cOaXxoelwSk1CmSp7JJaFR8iqPuBEO/IWcZOGQLQkExelIB0cb68DwbXs8JIEKMJ2blQwa6pjUuStbTzvmswCIsf4whxjjtYpIGJ8UlVRBNIhIaGtILZXg/CPcHB1Zo3/wImoACQTpw3OzwBh28MWTYyUblkii7FC5Na2ij3Y7oUyNopC6Ldx3tCVMcB603ofqp6x4nPrCwc+RSCIlhmXZNgGQcG52dCctNFMT6siJdMu01iquKGzDOfHeYMyQHL6xGXTyLiCuy+XyGVXOT1EFAn85cKlCVgwYDzOEAArCvFpmAcwwaftkS0QbBX2L6xBHrnxUrpRW/4/RIu7gV9osw2iXBlN4xCXBXp3QXJZvaqMhFfZvKCZWbwP74PSBeObVnuOSpy95G+2xMg/xsA0pHj2jgxpH+uJmAdCXs9f8qgPp14Zo3PQJgrRUbvQoMKMx7w+5Qm0hPX0IojAOyZ8cPyLrIQa9o2QwDiU2wJE8AEDrYuw3vF3d8V1EGYbAwwKL7ZUWRn9/xlgUbF8CFad13h82jLbYWsgul9xPioLckdnhXTI/dQ/TuKY/n71wGY3yjSWTB9hIkcmR14opM4qiisgld/O2P8//0S6/4vcP7HAjkl3P4iIqxUxueoLcaddV+xu79gHDJe7S6YYsblYcL+VwOGZ2D/beW8ckuaWgHHCvxlZGKpiSORwu2K+Hc7vPprs7GZfmz6KKgpdhSjJWBaBbpEoAjOx4Rz2IHq4uzgN3GptyvevHvCx/e3GP92akVzFntYvF/vFfnTlTHpme9ZPwcu7zYORsxOspLSUgLyraLeZWihLcsKpEx06H634H9/9//FXz1/jm+/51zg5TWgtxn5NHBcqaF5BJ4/ALBZtOkE3P62sBCZArKJVoXMbuvhy2ecX494P++RToQuD8/sdOdbbTYDUayvmT/d/iLi9d8UzPcBz18KdEBLsEulj8t7s4cMTB+kjT4FSAnZf7cgz2f8B/yXX390kis5A3EHxLF3uQaTu0+G97ah2NUSFIeeObzNKypNTEC1BWGylj4v0p917nBoAC3oR+18WwZ0tXWXOi6ESYAidjjOBl4WCgCDFsTZHFv2pIUGkC7oUBsLylrlONiJiO1nS/v+VgAJQO8egp/vB6oUQI4RaxU8iWKZMo7ziBQPuKwJy+VapKW9p3dSNi8PdKSCWJorZ03IoCbyAxw65R0yHu4KjF7m4cbOITY4LUxOXsHbdthcjQJJHHXUfjcJqgY04ZAFUJKMmt04LIrVf6GUf61oQlT2h+8HFIPFNYiicWNaNwkMyj1J7F1R7c/Iq/GOGBgHkHzlz7BfM8dNbboHtsY+huoK3ubfCy+eitk6f077feVKhV4B0snVGrUlXdWSfqoV++95ELTpNhlEWKzL95KL5XPXwsrijVagBgZHAMU5ovF/nRvn1bSORth0Ia7ubfPFFouFnnwDDfoUMjsQKsD5eSJvK0fUIqhzhCzWwV2oJu382x9A4dHt3zv8W+j+j/28P5u8IzSq7CvC3pQybfxBHApCUMyZImASQP2aQDVsqCBCgewHunXIV3bRXXCnjaHx9QtoRZyrDbux2at7grTJEE1cxWotDf0QQOgvKqQ5EttnNgrqJZ+rXc/VmoghKCJ8lrjvHReHaAdj89n+YNH21tY2XG2ZI8HsY9cKOF8b3kW1QNSEWTTYc5gJA4VTCYICq/nYFNAW0dZPiGCljUZ2J+ORdnVKE39mZmLpnMrWHdp0ZZpoWK28T5Frra74Y/va7yO04mLIQDhzjMrxaYdlSSgloObA+aF10+Gqmz/bNVTrKnlDbHOGFKf9lP67GrUnZw5JHtVgx1Sa3u85zijYB+UpYi0CrBzLp8LnHPyZpx6I+/imKxsOYmcsGjT5SjTNfcML5eaXY1QAbNBGAa65sEWE0T64V9nZ4bkrIUBfGvkLSoW4IJwlzC4iWXZWZBqkd9+2SBzd/BHSIUg32Tz/LWzdIO3ikPEqSBfSguK6uZ6GKgoQK6S0Qrgn0g6VLT2p9f3G4jy7kXWOqFVwtmsuC20snkOnvKydLrQNA7nXWSD2grNzrHmd9mysULyNXUj9EWCOKCo4jyMRcGu0BJdBbtgKbG3s9eo82fhuTy69mKcBKGrUJ1t76ojgCvlUx87FH8aMFElJUhXUEuy843VBLZYY0a7PO8SMkbqNNyTWxh77+gEubOh8Yk+omlicXWcd0eyA54Td+NUb8k+H0HcBMX+FhfbmHfftK16A/IoJSTHkZDH9mTKyUKYRbSJBXQSyCDDwTPQknJzVXpwAuM5h0SZC1LRcMqCLxZGG0ElnolOce+nrmPcmLmX3FDILRXJ/xwLIGlpncdvJf3lOlhrw9dMtBfPOpCs09MoAVPOF643g8vkB601oftm54HUIKBgwzH6IwWgAfCYhU7KFcGplUTkKZCo845W+SEuAnhObCJn7AkvAeR6hl8h58rnbMp8FPw+zb1pDQJpooSfLaoUIqULO8s5EuXys0k2BVmAtA+oMDCXgX5//HJc84PwZCy1q4lR1VCyv7Pnb2bPVM/GCzXwfO4ccPGvqyFjs+HEPXPozml/zOupgS1iEuhWh206ZgMtr0iziAmjZFF89zzPNFmouoXGkVTwvkx+evb/n9UcnufXDA/Qnt6j3ewZEyQ4JG6mz3MXWaWlQErOh6YHBQMjkWoZVkZ5Xg14Wwizn1Qa6T8DeDo+VXWPdDdB9guSK8f2lH2IVkLIZwRG5OpybJWy5m/BFgyhbYJMu3KCABd+eIKq1zbNV/C/8EzaQ6tb1SEY2X80qfLxSUci8QmNkFRkAYrziTFUjXIsCh99G1BSxvIl43leEmQrKECBEFgjaZnHIQaET3/Iny96I9AZ9U9+87RBhh8wrc+dX3ABNXfquYLxZME0rPr97RoDiu9MB8zrg9DxBnzdmVDsvjNAggY8Z4MD4aFETnWY6F3Z2U8ByP7CanLUJqzh/shm/VU1VpPGHl9v+c6L9PlkJ5e9d3kRoiBgMGh8yUQJb+GiDlYcA+eQVUGbgu42xO69yiCj7ZJ0lCmLVMTRxiTL8SOICNIhMExMpDq0DwlIYGOdKm1dFfDDhsik1ASkZCYWjkBaThNZtilxrVsUq/18FOsY+3sAS+XSmg+HzMfqABV3RhBKGI2E745NieLb9FMk5l5XPjRuFFSotmyB2u14C6MhAqXW5V8VwAtXUkyBGQT1O0DBRjW9QxOyJtvSxKT7eoaIHQi9eLdjZVPc9OPjBK3CUke4qhtsFr+9PfA9lcrVLHOT+fjrgedqh5IBlz7mWUIqn6ImVxgLBesNAcnjq3SrO3eUzIY0h9ITRgyT1Q15t70hz+gzcpAVwHtxuEyOH7gGEQukcEBvOlZ8dlnI1zkiDAEO6KhhC+LW6M5sbOVe52jU34bJoPPGCDc/fA2FDbRj6IFQgPWdIqahTRN5FxKVifDBOqgcR54ywZNT9gHIzsNCgRFsM358Qns7Qww75fkeu2nnhe6YDqonkAFyL8bnadbIyNr0XjA+CMkUsrwJ9aO5w3HRk5zSdaoNssoNcWDDNhlQSQUgRiAH1ZmKHUtHQO74nPBEsE7HwYQahcymifAhAmIBJgYkQYRfr8pnwvn4O6dwWqbZ2Adl0IyIIuc5ORTBxqb1a19dGcewK4j7jZrfiZ68/2kzqhKwBu3HF5TDgeJqQ5z2QN77cipUajH+t0kf52F5SNcSVnbNbtdm2Lk7viNbdHNjFzTsxVU/+7HwfUEcGyClhk1ApMDgNhoktTch8DADR2OIBWQt0XqBlaWaeHs7AsANSQN5HUnWioUICWoeJ6t681zIxEek0KWBJRDSx606NBC9ytbm6picBTZAg2H2nmD4woV5vNtepPB/rKBieC4aPc0PrAEDdc13DUjE9eqzAfTw+avMJUjimUGOCVGD3LE1hW5Tik9MD7XR5nVAjuyPpnFFHzlCHoqGFtpSEdOHnrDehJaCcjiFNvRXgeXNZAi5pYhHHZoP6dIDh2bqbRnHy92q82dATsCt/bsHw8or2Ho3C4rSTBqtNLFpiX5Cmgtc3Z4yxYCmRs9dLoKBhNfGbat3BPTA88ho1cvzQlgbA5gaff5lid5vFYjDh+e9d/3hWJCXksyG7poB1HyigGoHhmZxmTz7DYrDeQt6sVDW/C5RsxSA/ZiswflwQn2a0cYibM/ju1xnvfwqsn60QHaxwzmSkTxMAdidg974iXgLKGJAPiuWnK4abBeV3B0y/CwgToENosOGaBLsPFdNDwXoTcHnDIM0F2ebXgvmTiul9wOG3BrEe0NXCs+LyFnj3T77Fx+c95N/dIZ6B0+cD8s3nWF4JwhOTxXyzsRPxGEqgWZDXiGVOiL/eIT0LqZxevP7Uuvw7RR0VT38mOH82mlIvR1BND3yelzeEmbfZ0xNHT2kExo+M+/NeGlxZVsY2n3/xHl/ePuD7yw0eLxM+fLjF9IuxF6ICkD5GzMsB+28i7n9JpN7zlwFlApbXFeW2IJwidl8zli6jxQFGIxGDH9cBOP2MnXa5yUhjQXkeEZ4j6l3GX/zpVxhiwa8+vsblPOJ0GfF//Hf/W9zuZ/yv/jf/AZeS8G9+9TPo04D6dkX9csX6NGH8huvs3fdoyND1Bjj9lL4/maYA4evgWv+bsaFM6gic//KCn372Eb/53RtMv5ogCxBniwGN2Tp/UnH5DBgeAu7/ljHC8WeCvFPmN8oO8vRghYlb49tbjlMHwXBOKJeuJfL3vf54Tm5hkN8S3MEDOOvexr4oTQlStVXwHObhw49/8HKOofZkRF5UZWFVT37Ts0X7Ojz+Mtir/UxTS1QeYC4R7/LXYQHlwJ0TBKtaZUJ9mnLo5pq273+lzLuF8Xk3tSo7Oc7H2/yIC7XEMxASuVEqJOmnc0+8ATvUNpW1dlh41XGTYEpAU/lt4iOugub+WghLqYNa1V8hY0FKBVMqeDWekUJF1oDLkLHMCauYGW2rsAGtAu5/CE/yg9A/16Ga0iDtQa3ZFNwu0IS7fC3dyfpg8y20M6wmXOWfY5Wlmrq4AZ+F2ZRX3p2rDViL7LrDdfU8rTjgXQrvSNSXxRxbF3nx56oj4GtXmWTDOIaSPYns9ybVYO1exInCzsVmRM1Vovni5V2FUABVbXxFwPai9gpa6+RmXAWqjXe5WQ9pNwFs1YNV7Pq33E2gwdM0cKQMOa1847LTVrm86rRZQORojx/enD8TdN9jhZptonB97YCOFTIVjFPGYdjwU0UxhgIRxZCoGAok5FQZzA/aR5hFNhc5Skf7h9g1bWfeuq17h91RCf2i9Croa1Dm1IOSLTewqYwWVqyDWsV/4+P8fVtncjsmaOuf+s3b9cn1vRhkuQmXwTu6vbi1NYX+vLUjEvxr7rO9S1RKG7/GUWt27ZWJSpt/6s+xEK2zvUbeXy8oNaExeJIlTb23mat3WRzKdiXqsnkmVlRqLXVfP2jrerWExfaKc4s1m50XNJvxzw/rVrfAbNwLOdjagPsdD/q3BUXtiSgUQZjsqalY16SoUwWSIu4KDocZh3HF/XhBkooAxVIjSg0oKVDoxboIGnnd7TPtXKwVTUuiK+mDHVW38ShNiRnovrNagafBQG0PiSfSFhSV0agVLnalZmvuu82/qIKcdAhpElZ4aAXMINdcBeMSX3ULN3Z9dZZuztOXKAtB/xm+H/nS/Ey+h++5Bm1eK2BJ1EvEg/sSVzhue9b2KQsvXbVcirQ4x22JIjq+pyyOsE4viztoBaiXEFy1Pd7OakOtoL2/tkDTBcR8pqsUYc10ATm4IUAHsWS/a0D4yLbe5dRm424jvuZtja9iSSvAJ/Oz9kOaNonBoMBUkaaCcVpZrAwFqoJcA4LpTyj6mVwDz6PWNfb4yO1sW6x2W9/6Tv+5TQzWURn8neporw1U2GPjtgf86zbGqJme+PsL1P2Z2/m6oVZt/FecDcJvyb9Pxagj19EFvLCJkVtMIMA4Fpyinx9mb15gjs3MLAby9dnsE/u+d7Gv9pYINFbcjAuOw0itCxPdzKb2K1l6UXuzvu3cK0T6aSalaXwE8o0hWyzebeKRlmSvt4rhWRo/uM0kNi0e1O7r6mCih3a+enysAZCVPqzUgOwcC9D2fdxb3vFZhhWQk/PAYehJNpNaA6cC4vt03NyrIzZgscxY2QSwcUZrtAJXUrzZnbCPK76fDiglYF0S5kvCblzx88MHnMuA/0/4knlDqtjtVuTL0Pajx67RNUj2aJNfGl/Xz9oqjTJWB543w5Tx09sHfD3d049bsCLQ1l3XBNRDQd2Ijv1YvOC2AGx+L+kmZ8Af9Pqjk9xwd8fNsVbUMWK9oShP3kn72xXx1HgGzsHKu01CAFgHlK3xOsUWnIVsXEN1uB2DGznNkPPSOg/bgE13CSqCsGSESyZ8yWBPYc7AjB5cmeiCBrSORboAeACW24DT56xEJNtYcbHOllf44MGgQYyyqz5aoD/E3m2z+wgL+Qs6stpdh0BVy6yYHsjJcdXEaJ3KeGHHlRvcgwXbRDbQ2iuhwLWz0YgWsHUIpDtZRT6Y8x2JhdexIt6vGKe1JbhT6o70zXRCHiIezzuscYSr33qlBwogMICUQUyFjfcvRZEuFfFMCGA5DC3BdWMGvPsvwADkrTKtAMutYL2jw40LN1C+sQqbHahxAcqRP+/O3XnLGkwcKFcKX1ULunNp/HLZcBVpoORyhxSgC0XV1leDVdSDVXDRxkv5y697egA5Vx4U2MEnBnP3kQ2uCKoNAVAhl7XZFtCDaD5Tjobx4FsdfrpZM1GiJuJFEKIiC/lhcQYGIVw9zvxhH+sQL72gQ3gImriVDpHXWxVhyQajjN1Xma23wg/4f3aAqnXkeQ3pBIPhSHt+TVxqxlVnxNVAeaPoQYW4OjLaeBp2nXxf21w8m7HLNbGDfqqY9isO04LbccYhLfhsekaF4K8ePsPjeYeqwG5cIaIomSJMrOSrJXjkU9aBipTDidC8LafPj8E2WsWKfWUMNu7MnqsA68G6NHZ/NfLenNbREiL7UxvPqMNJXegKEM7sfVlsE4FM0w/miSMXyCUTHhkTnP8IoZLpeuj7UCfB8roH1J2v2IN3FSDvI6QShZCOuSeSIg3WWgFI5Cqlp3mzgZS2fHegYNA2MRdB3SXkQ+rojDEi3zIZH04VwxnWJXHof0+KoSasMZs6rAncRXs+hCQGII3k4wNo6vyGUrk6oO26fEScFGB8Ji+M4iYsWtYBCE8UbHFNhaZkXDsHvo6CdSK8dT3QdsqIporsytHlpgJRoWsEsqBGUhXqCOS7AgwV6ZAxjBmfv3rCX7z6BlPIuE/0ce/XG5zLgL9Z3uHxuKOK6W0mdDBLK1I5LYKwWZ7tcVWkY0U6FyAJr0M6/Ngh3GWINjLIOl1RmvhNsXFSdVT+jFXwy+gCWK74rE1dXrMHymrcbqIUypgIa7uYTsEQEW4OkBKA7zfPyTUfMkfGaALW4mP0+KzWG8H82gtutnWsE5XO7DqrUM1dVCxxUKSLUSw2haaG2jDbj6eMKVtBK15DYrf2pMM11SYURTgX6MwRhBrJ1/YRNQDPvvGBiVi+Eax7YHhkhzDOijIGOPfbFctbfOCBpXJ9wlKN/+8xhzRH5DQWDexA0w/wHGdMsfFTBnv1ZGe9ldbNrQO7NVcJjCeLthR1ANa7Ch3Y8ZFsn3OjTE6tKD++veD2cMH9bsbb3REpVNzEBRWC3x5fIdcRQywoU8acO8893xYgMdnJVngqkzUcfFY3NnsgXdt383kSm0JxExu7CVhBe8o3aMVKUUJ2se9F3JqA9Y6fS2irtGfK728aBQBRLykQCfN0IoVw80pHIH4/QAU4fakseN0wW7n7jwn7bxXzK8GHfxSIVDyx0758TDjWPZAUp59USBaLDYw3vwce/zRA/zwgnYHd913YSYVIMIpTApe3jDVuvi4IWfH004TlFWPav/2rnyA+B7z6SjGcDCG5KpZbwXAUxDNw81vGSc8/C1hvTfX5yKRw2Scgd12F5bVgflv4MydBKILxgYbkIxnjBdi9Z+L/+GfsqK43irqriCeqHHvsQDFVKv1f3kWsX6yQc8TudxFSAo5/9yn+OnxKTu19wfAhYvct12H9GXVrpveC8SMzxeefRJQ9cPyTAj0U7H41Yv/XtP/lldJnv8lMOBb6X02KYqMkST8C8tOArCNknzF+ecTd4dLs/MPTAfPDjui0N0fEoPhXv/ufYV4T6ocJ8RiQ44AjADwlDM98puefFuhYMf2HAbe/KzhfAjQEU2Hm9Y8PoYlLPf+c9pkszl6eRvzVd5+hFkF5w4K0T+dwNAcAhFNEjcDDP6Q9yQoMD2JoFjQULcAiXbzYWTcIxgfF9H5FuSz4Q15/fCd3YktRSgFk5PgWn7UapXVxvRInClbaYVW5qy6VBRkb3kF0kR+rlFIQwZPdwoBbBJABbSxQ6Gq33gX2BKBxepUVAecuBquQ0QGLfYZVOb2aAliS3gdm64vOjfNJm5x7CO1z1Dpasha7BmHFBnz/asHkcDZivldjnde14gfKsp68tfEiwQ8hILqCnKAZzMuKiScCZdKmTshKUcX+MOPVvid6QyyoKqgq2MWMkBaMiXPMnNcCSxw0sdIf2jVZ8pmMn1SBaAIbdQy9iu4dv+hKsZaQjpsDUAkbWe64JnHh1zjvS1uSS66JBZ0m/tQr7vacEey52/OyBFcvM7Su10tVqqnUVoOmM2grBlH2rrIr+zZumVU89QnGn0Hv6PpjMbtFYELC6nGAIxkkF362823h9mqduWac3Z54j/aFCgiY6FaVK9h0XASatYnehIUHbpypBBlMFGurSl1tfI0YrxKWEPh19eR6c3+2P9jZCYBWRCHkrFoykbXvU1cedEqBqP/bDtItH0rQu1YDbdnv26vOOujGhsxcAxCGimHI2KWMXVxxl2b8fPcelzrg3+vnOC8DxpQxpoJSOSeblVgld3i0pY9+Ido7/N6F0wBtc4J7kusVdFcCjqZm7JA3f6ycYYqGkPCqqq8LolEXfKTAJihunaC25XuCiRA6nQJ8xlIqsGaIDpsOFjcNEytpgWgdKQaiQqpHU4vcviwgVADpnAmbfvn9ICboJpC5QJaMJn4DcDzdNJgadbcnAA32Ggoh/84jhhjUtCiwD/CuT3rhBDn+ROHiNj5yS3yNvKM9dvv2tbp6K+/mtntmhzNeHN4qVtTg1naF2yb2oWhdC993XvjzkTHNDpJ/zTq4Q4UkhVqRAJYc1Ahg4nzg3X7Bbsj4yeERf3nzO3hJalVCOJOwOrouVAuNU6HS+BhRCyCri/7RtlxdmMUyS9ZE4Lxh2rrbOb9fLS5wOGcxWL7z9xQmNmTF2raPAYQZoIAe4bGU2VBUdBSYCjVAXN0eS4HGSCG1dWN3fs4YZSmsFXUICAP3pI8fZOeH58xoSBdXqIZ1SDVyFqmFcpviE/UnZPVD2JMki2FUEDLtNe+jccvR0UVmR9VHVm0pVpmFzZCtID6FK2VhySzeaBCs97S5ASxaBkMA+bg7Udi89mv/xDPbfbH2ubsaoNY9ihfOzY1zaGrgDvdk0ci7tl6Eow9bb4TPe+bSeMEG8IKPx3XdjjQxCUFiMSeo/54yXhjY4Xpzd8JPbx/wdjrh8+kRADDXhLkmDPGWkPhYkVLBkirvRQGMFTJU9LnbgMQee20FoDzZb/dmhb1QahsntD3j88SfX28JtW6cQ7MxBAAzEI3bWHaAC4r5WjYf5Z1FPyssfhpcdb5c+1eqeBOCnF8xeRoOK0oOiHPC7n3B/Drh8mlBOgUMz9zbFJ2K0JGzl+UUMTzH3tFMwHKvKHcV07cRN7/TNvdVI5+jF7Cdgkfxygr8NKHsePbHbyLhqY+1Td8IRRFn0jzSCdh/z8T9+JMu1hXPFjMvwaDw1glOgB4KaohNbyRduIbrwXxvBoZjxXobML9W5PvKUYpjRR4GSDUHKtzHcSGVRSViup0xlx3SKWIwOldcFE9fRpxqxPAoGI+1zdkuI4syh+8q5vuA+XMTVXqzYNotkMuIu78rOH4RMb8Fxwndsrk0P01AiVfnum8I1yvRG8Xnr55wO85IoeBcKNop5wDcAq/2FxyXEd9/vOU0gbOpLy/UPYmzQf4nQPcF6ZABHTA+ZJRhwHoS5Grc6UTbTWdg3gHrq2pjpqxIP0ccjzvykncsvIaR9ljPLEb4ddekWN6yeLL/itQvR1xy3fmc00XR6DxFkC6KeFqB5X+qEUIhoN5OKIeRh8Rs3Qk7nK8ESfrz6cHm1nGYUals+CBRUG8nJkWnpTviFIE4tGCCX7TktwChKucY+mxIVcAUOxkAiFUuXRSiw6u2IhgANxkEDTaJ7utZPY3Sxxhk43OFAPjIIE90wQNEGmwxNM4bOTAOq/QDkQfm9EBeknMdvCLK97AunH/P4GoAGhTcRR62L0/cPTFrarGqkIWdqnlOOIYRg82WvOSEvz29BQBMQ0YMFed5hESFagVyZMVpEtsMAlnMyR243npmILfeBtRxaOrCXlWGeAEDNrNUOkQzoCmFEt7Kr1/ein0Gu3WEY1FinZvFxtXYIy07VhVhh3FNwWJZgQwRmCP/vT0rgkBdVM1nPW5enty69LnDfl4ekK4Y2sf4aINyutiavyRbgWbbBSiWVG5mGLYkxmEvLtRmn+OwVZiIT1BT8xxss3lhxw7l6CJTYmISAkimArkOoc0HlZk8z3Be+fmuFGy8/MYn28I/PRA2H+Az6dQOnmgdNfWZoBb8t8RuEzhIpn/wx8QxWrAOqlrhCH1dMkUQwsK18sp/MEhYVcFSEz4se/ybdEGsUwABAABJREFU8jNC8nOCiGLJCfOasC4J5RyBHPoIkXZf9ncSzPcBeS/WYYL5P/LvWuJvTpH8Wy+SxIbG8L3pQUPZ2UFXN58LtM43O1zuWwRhUKNYlF7U20BtZa7QZYHmTUU0BOhuRJ0GistY/cq5k40j3yBvvJ6gTEJI47i+vi3nEBuf7P43vJxbrUzWJCiV+7dw67UgOnfe9oAUFh3dHqQqhsfcfDnsHKK+3Yb2Yl3ndLHfNzQHBTcCarim0PxgBFTshZ7WDffOvefDNtpLqmC0BElqaMiWdpDPXrhB+31Xr452pmoEagZELRG0AmIQoM4R6tBoh3aZfUMBLYKcIxZRfH2+w7+JPwcAzIVc3Od1wloj3h8PqEvsyXsWxEV6F2/wgJvf9o7nkgM0pKt1dXh6mSLEuK95F67gv5qsoLMnssvPJHbmmEC6OCW/LtbZMpGcIpa0BYSlqzG3yQyF6Bu5LJANJ7feTi2ppKJ9tWcau3Bgvd7frni7Ldzzl/r5Gk0JP50qhlOGTw1Q+zlRbf6zjtbZbvz8jT9McsX5hFDnpCYhImcbT7VuMRNbP7eWO2loAp+rrhYeBB/jl4QaC1kQbZ3TqTTbbYXa0cfjGTrFkr9q4pChUFUVQEO4Nc2A0n2gi1qGAqidjXE1/7ZaUaQ4moH2XgdL+pTicQhMGtjtUTj1QhaeTR+eDhQiSnf4z+ktklQMsSDXgI+XPc7LgHlJWOeEukTIQBsLpi2iAVjeUEU4GXWn7IGa3Z978ZJn4vhUgaIou4CinDPsMMtga5FvxAQO0QrQZc/rZtGKEz0cwtn8fBWEEV1dtrAwsqU5+ZmoMUDHASo9+B8fF7z62xWHbyPOnwgunw4ooyLfJMZO74D1NqFMQDxxP5y/oJ3UkeuiVQkLHhTzu4IwC/ZfBSJgToL6PiIsNp3D0FaN+/2oyFOfs3v8PNkeVdz+HeOlfGBCDFjhIAAVgumpYvgbMVvmuTg+2DqNfCY62LleYN1YQdkr0j4j+1SG3OOvOBuPe1WstwHr3opSi0AWPv/hKWB6bwtoscNyK8g78nXrv73DYSGnHACOX7DTubxiJxcS8fxlMFtiEwEwvr8YCiUI5mPCDEA+UXz/TxIROmL50+OIkiriviDeLshLZJIYFXGfEURRDwFagf0NF28uCd9ebnEpNsIoAuvTiF9c3vEQzzxYqvGTIYCcqfTuCDjkgHxJ5Ne+G1AmG9voNA6Db3uHOx1ZXDv+qTW7oqLMkR1og7zXmUU6OWSEm4pySigSoYNCDpnq1Bqp4G+fUwbG85IF8h2LqPHS1/z8kz3KfB2D/77XH53kagiohxHL64HCUTZQPOwDHdCmqtt4Db8nyd1y08LMqnwdI+oUEU8Z8oGiMJxZGlGnATpFbOfiiY3nkKRQMRXmJkjF7mlPUshtbNX7luDSCL2LOz6bgIqPt3A9lygG+1HUJXA/+OEeAY2EUHslFvZ93iD/lME6zp6QVJjQFX8hFAoCeHXZD5dWOQ9ifC+HlaIlKL7WcUE7RBsnImyCoYmzBllBZZJWEZCXhLMdILuU8XSZ8PjdDZXfdgXBYQipAuAYGlSghsou7hyBEzePz0ADCMmukUlCOleMTza657KteICHhndPFK1zXSZYUYAVwstnhV26yAOvrgGyhPZ53rH0tc8TD9/h2bg1LsqUAiGVMSIEgW7VL0WAFKFjIkrA+dR2wPAgpmhY2WtzvFAgLX3EgM8UpjiM8/T4NRcqaq9c0HiAgV3d9v+tMjgvEA3q7PycAeaNrDvnY49c6GcBpHAgeo1okSd5KtoGowOwYAiA8ZnCmTQAWQvkPLMIcJgAiS2wg8003QrTbBb0ipcHsUq1J45e8ApoFX3nOHV+iGuo+nVrs98263LUVqmXLI2zps7VTQoJFUHIcppzwlOd8DxPKJV8nyCKiwVFugbIKXbYs9ll41haMDy/4QVPD4Rg+d7zwobD+dW6uFQr3naxpAV3+aYHHW1fW6KJQFvjLGNBPlninLiXh1A5qgmAz5xu6q9VUU9naNm0Xs2v1sNgKBXbizYL0xEhvqeBnqylCw+iuLo/3hQkfNRVMR/t9lor5JT587EXBHUyXq7x093WZS2dq57YVgy5AhdD9Vg3dXxYoAKs9yOqCen4dXqhwe0trDbnXLUlq56Y/GBebpAuKJYEZQiIRZugV6OmNGVebb46Xqr549jEu1is47xSAMiH0FR9/WxJF7Nhoxg4MkkmO7dUEU5EQIkpDZdJoTd9HJZmCu2IKL57vsFxGVFqwGVNqJVCPLUK1vNAhU+l/UiWxs/aajfEiyXiDstUoCYTxfNu9EyBv2K+Kh9Y+AE84TKRnh0hauudQSl3BvXy7kUWiKms1hHmIwTVkAMUUxSkY0BYK9Ip9xGCuXKE32UGNkluvhkQbC2lKOIlQ+Nwralgvgawe7Wvt65zFDjXL67a73lVDE8r0vOCuktY78eGTEPlaB9UpeDVXezfg/s7PvtwSK0IqsLxSXkKSFac9ffbKh+PTxW7j4r5LuL4pQXVJyaS3kUFwKRegHVnSWpmghhKpb02lAlQdomCVDvBujeY89K5hFBSNaaHajzqYPxq/gmld9iqBfphVYTqRTFFsKK1Sm8kxDMH0PlcYanA8MTg0c+BbSEkzPzeMkx4v0SoFXAlKnb7BSLAukZoFayXBJwjz5WRxbThQ0CcBfO7ivpuoULu+2hwbKdA8fyoI89yn8IRZ0MpmO92hVrfM+st7dv3IxVjmTDU2wIZKtZTbHQJ+kzeD4uG0rq5XuTcolnaeTklaOjwh/DhiJvvL0CpuPmTd3j8B3vkSbC8IkT39POM+GpFfT9i901EPijWLxfuvcehjc3UAGCsSK8XrOcB6RcT9t+TIiBVSev7jLYxPHG80+5jwfi4Yr1NuLyOyHvB6Quuzau/qTh8teLyNuH0OUVnG0fc4PmHbxaMv3lAfneL9//kgDKwG5rOhV3Tn8I6xkyu6wiskbDz+8OMxyeOEQpWKIElmA4rX26JKHFaVLQO5/gAHL6jP3ZF+eNPBOsdcPgt8MlfrSZ4GrAeBKefVpS3KyQqYlTkqeJ5SGjzzi/05+77mKgJwjFSFPmzBeefVNRTQnqgAFR6YDNlenPGn799j98+3uNDvkVIFTeHGWMqGFPGsJkAspaI7/ItlhKNaqCIDwZFToo6gX/fZ8hYgafBZvb2QossAq20jfNbFnHShcUwKqjV3qlfuR/nN4qf/4NvcT9d8Fe//Rz5YaRI7qUbqA6K+Cbjzd0J78MBq06QseBwN+NyGRDKQPFOQ6aWSZFfFYQ5YHwkl3k4KYZTxXoTcPwiIudNEfDvef3xnVwAUmoLFLwiKkURQofusEJnN+yEdc9fzLGLJZdN/VPQDnSNFkT7M23dGet2+ddFTNjJeYr96xqjJZfu6fneWxl88h5ZuZRoyaYH1eZY+RB6t6rDmhnwaNl6H79XafdaEdloGxr5pUFRyhQB47E4JDlsIDF1WxhQO+C1V9drcm/XPz4YhLDBdQPa7NYw2GJuDgyAn1HXgJwiTipYCxXskE1d7yRot6l0yFQJ7UFPG+Au/XDVBFaOPaFP7miY/PoaOcS0Jezoa+9wBodZN1tKCokVjWdcIvJNT2xMdhMaCD+R7F1jbXbM67bK/waurC/FztCv4UqYZPO9mkDE8cJqaIfsotlNn9tWO6zvpT1v/950tfzrDYrqSYFBZZuCuCrn8CZAJV4nmy+uud9X3xP+TFyFvCUC3hm0ZKPRCsTX2rq6Ww6lAgJtnWyA6+AiJrK9Fr9F737qptCk2oOo1U58MSV9g/EGWIEnGpTQv1dZDAgLx8GUHLHkiKoTlpyQS8BlGVCKoNYALYK6WnWyiAmnSONQOXLAOZdNPMiKB2Xk/tBMH+cFjyYkFDtaoRWf4uaP9IR8S5u4Kh4GENUReyHMUQEaDTaZWIhTo2vQfARXI4QcEg8mDt7B8QIbnwf6/twUJGqS3hXJsGerV91PF5Jqwlduyy+gku7XNXCkShftCkQg+M8Gu+bSD/vtnO1mc7pdMEskBgEG1kw5sxuIWvp1th/Gj7+KJSzCpFzd3r2D7Da8OeewORMDlEWUsvm5VsAxu7Z11tCLdaGQCiI+6qQKovA6eEYJIoASDeYWuN75klDWgHWoyCWg1tCC/uozQ3NgV8OgYbD3e0l3cX0Nv+YaAbHCCqB8LFGuNLqAHgt4Iu/+Yqu34B0BRKVbkACVCmQxUbHOlwuqJhymzae24spVTLCBdIBJXkiKas/JO5LNhFyQMfTztok92r73Tnr7PHVusNmyFUP7m14bUlhr00Fon2HFaB/x40VzUk0CovNgzeXpGPr5p0Y9CtLPzi2aTrf34iJDdjZEKjuTH25jGF1/oRXHN2eC7ak6SG8AbJBPTntpBT3/eiF+pQn+aF9r5+FewTL9vTYJelsvtU7wiQdwKPZRq6CKOc7K4P2CkTVgs3MvnHCzma1vYo56Tpw5WkDOoBVuarTinsezija+SDbr63aBuPn35v6IwOPfKAKFjxETFuoTiGTZ6MbE2ezLYoaXlKB2Bm/sePnyNcIcIUvGej8i79llbiMEl4CyBAhMfV0AHBM0WLw52LljheK8JGCOzc7zTpBtJu5WTMypHzV19XRHQmyne3nhM6ycKy5ZkQ8ULFtvEuSzO6x3g3WIe3wY1j76p+y4GXwkVbgEnM8jn6/5l2CUNhfTrAOLFDX5eSyN+hEX49hv/InTRNZ74PQuNbSVJvJ3JY/U/Zis6Lz0oohYfADwd/LBuvq7CqRKfZcSTZCw7xcNwHwZ8dvHezwfd4CNBlstucslQERxOy14vTvjuI74/ukWy5Kgp4RwDn1NIAYrEI70BKCpouzpT320nN4WSKoopprvVBkAiE+B6BntSDNX7F9KxDkPGMaMchNQNSFeeJ1eOBxjRQwVKVXkkU0yv5YyEu3gPvYamo2O4DO/VxNpk3/I649OcqVWhOPS4ZZrgUwJaU+lxrBjFSFUAYobFy82WWO2Rtg8ra6uq0E48kcBKeRJ5E9vwApfZgVpLZCzzbW0gMc5SWHJVON0gQkR1P1mpEFVCIIFl9KCr3gmxCnfjtAQ+evZHSEXmrO3IvmMFzqGsrPDJjC5cKgor82e1dAPvSx96UNWxBM7Y3g1oQ4+nubFoWg8GFdLhkiTpU+Xinjpw7m3zz+dtLX5GXgL1hsYzFlMdY+jVPhAzKlfIkoWlCpYVzrgmPl9VsSkVdL94OOFYlOVuw5gvCILZUerTNI6AMOZG9y7RqGY7L6/V2KXLt8qYXJT7ZuhkkM2jBnRNtPxZodznRBWabCVYpXYNAuH3K/W7d843nA8Q7//gFo34jfriqaeaomJB/+edPdiiMAFMbwjEoMY18SdujaYnF8HNsnH1Ssa8sChygC7vAB0GqFDZGI+Z2wFrNrc4TlToG03AIcRXYFYrhIlh9v67EcAxtVCW+cwm5hL4qgQiaGJBTlcmRdmlVkv5HhRylAXAWYj1RMCT/YZgLVZeoX25aNdKOiDdt08HBksrIeABgdW+oNoI7e287nVgpqw8lCZhwEXBXkkxTLlzEQ2HkMbQ7V9SZUuFuQBrye0lb7NO0/LINbNuEYVbFVNAbNx4/HUAfbHuL+DQveFgb8liLpYwGYdYR+ZBAiG7OMnrCOYFJCEWshnEdMUwDhcJ4imWCylou4jaQXJRgd5wGbBfbV5e66WmvcwiK19tnK+LSqTCPpQhdj8cg0BPvZCqnLOegrcB/MMhIB6mIiysJFyOkWUyWCxPkc0V4TVHpLRTuqYmFCq25xgC5vWwNFjHuQ492ey942rNqh9p7xsnpWAfMhCJMh6a+J5Y9jYeU9+HLngdistKejoBfXPqIRPp3NB3kWsBzvTLLkpA8XjfOZo28CbV9kJ8jmiDsoOUlCEB6JnyqQ47Uf4XFMpgt1HInk8ofFZoRBTCHX6idl53m0SGeVz1wQ7s6QXrl+o/4fVEqo9197hzr0wBqKEBnImQ1DkHFBLRLlEaE4sjkZABo5/Gp85uicu1eYxmw178SQIMCTSm+wVn2dInGzfCfLtQC6vu9e9oE5+zTAxIAa9u+9MMCm7r7ROrrJbHy8ZGoSCQIYsEH+2lrSiKFIuSKfcYhwAqDbujfamVoyjrx8qkNKm4DOGBuP0EWJMOvgs4uy+ju/F0VRq9hHITT1Spf/8+Yj5PpB7eOb3xocMn6VbRvpdL7i7IrILi8ZZMZxrL1IVCvWErFhvIpYbW6cLGuojZKKF8j4YJcaOuc1sUtctIMSz6124z6XojTRUGgtxkU0KD4oDSG+rgvGZxfgyKnQwo9wUbnIiFDqeI9V2F39mZufmz+NsnGex2aAQ7N4rRtuzrkEgpnLvtKU2FilakgOwqGTNAyrkA7ovPBuf+d7pAkwfi4lHlmtftBlFx4JuP1S++l/vcDhNGI6Ery+vaQ/jIxPL8WPAmgfUAVjeFMRzwOHX9Denn1TobQaCkpK2BODDiOFEZeJ4rnj80wHPf1IxPAbc/EYttnJ6hWC9jVhuApb7Xnz1Tr2mLuo1HBX73x4ha8HpT+6R94LjFxEPf35AyIrhCIjH2qNgPLLDWEYTIAUaJzy/D5jDHuksDW20+47igunMRtz5XcL5U/rjdKIZnH6qqK8zaXTWhR2fGO/lW0X5ZMXxLuD0EyaP8Uwhrlf/qWL3oeD8NuHyiU2V2Y4dtX2nAVjuBcc/y8BYMRxWSFCUXx+w+zYg3yiWT6oVGMwuv5nw+NsdRIFUgToFXIYRS6pWsAkYv/yAf3T3Nf794xc4/vYO8Tlgd3SVdTsdCjvemoB8J0AVhENGuCOSbRgKUqz4zEaE/qfvf9bOLB15Lze/EUAEyyuOrCuToh4qMFR8eDrgeZjw5vaEw5sH/OffvoO8j+yEHyrFrIaMMRbsJyJqauX4Jy2C5U1F2UtDKWxf1yP1rJC3A8of1sj9r9PJhQkp4EX1u3VbCigM4B3GTWWxVRcr8INEKVz/vItB9AyfARJEmGNUoVNpnFb/GbC76x0lv17/nFYR69d/Pe/zxe16hVqBiA1HywRUVHgdnjhtoSUu4OPKnKIg5+Hl53pwtvl8D84ApfIpevW0/e3r7V1b/1r1BEwh0aqPG66n2Nxc7yJwZ3PNwnINPRAFDwLj+jZ+sN9jsmrLwGvYLl/rfHrS0eJr8muce+XCW/FF9bt9jii6XO0PnxEAhFCRrdNbFyuYRFiQJE2YTBazIx8OrwotBaib0nQTptJuo1cX5evLe5KwCVo36+b27lDJl93h1nn14AzS7TZIX6+tABVsHbfdKvmRBak//NLvfZl9b6/rx25cY+j27RDudr09WGldWUNP/EAISXsw5oWC9n0voBWFSCUU2m5VoL0qXSgEFawosg2cMcC1k3rCreYzViEP0TpZsANBCkd2vbRvF8Hr8NeepLSii9u5Bx/ecfQCj3ZuS0uG5MWfl8/Dl9ZgnFd0EEveG1pj429cqETt91uH88dsZIsi8N/frKcnbQ3hskliINef/WMvF/u5eoUAtU5kH0dlb6lKs7YOs4Jrer2vXtilFzZfiBpe3dPWD7nL9cQs/PAGXia4V/fUeOjo0Hugd1tUrtZk65d7l9m/ef2nVbDhPpydnFAMHfJiTzcF3hUUQlPyz4heYUGCrwBH4FBkxtA+xgN3xWcEOxuac9/cg+8tbNYxSSsKqyUYbZ80m5S+Nza23pZIfo8JbfeF/9vX50d98saWt2gS4Er/YNtZ7qJR6LEJ6M+bfQNXNt+eTe2+DNFoSgCuBMkA46XTnptavv2t0VqCL9A2fnYjw7qD8uJ7Gxvfnvuw32vXKw3xUWH+tvhn+zNx/yLt/a4QS5t12PqGJhrpdAAr5Irbq/swj0MsJnHTcj55K/g0hBX6s67d9rY25Y8bXnRcuh9RAFjpr+KZcQtUUHXz4UDnKVryjLrZumLvY2vQi0u2/wWEgqZe4AFgaKr+nOi/FK3q4W8OADYCy2koHcnkflygGoBY25g0PgPjSf+Iby0TkG3xfL5rQI8zxEY6aVCoC2Za2BNWoKzBYvdKHQqL99p5tXVdFlv5mVYjO4iug7PdX7A914q8glacb+K1E5WowyLUlggWG4lc++BN2ONFnXjps6Hb+9tZqNvmBEzHw55tGAvqkExUjM+iGijAtWcUQDVtADVOeToVDIeAcmRXOxsyLWyoav4sxWYdqxVew0IlasLdzSYsjiT3HG0PSgHqElC8GK/AkiOOZcLzMiE+BaSTNB0Yny3r8RXfQ6BroI2BEOsxFQypwNQDNgV3/r6UjaDk1tcAQBUspwE5RQp0xsLnm8CxXpFOOldqnMzrgGVmFcAfY5t8UQH4fn+ZFwpwNdLwD3z98UmuCHRMHMfiggqmvNpgoYUt+tW6HOMDA9J0ZgU0mTy7VApOoZKrKilwDMCcUQUI2dQqTyvVN1uyas4QABZbuCFBdwO7WJeZCUqdIADieYXMaxuDIgomLyKouwiV1CryGo3DaY5NKqtHxYbUb3ld8ENL+KBkdeibHaQilpz6ISHtynMYIIfUlJEbXAhoAZR3hx0u1fi3dvM+QmB85Hii5Z78Lu/y+itEhSh5M+styD0UAOLCHbzeNVM0ZHgWDE9o6+EwoVDIm+mcQ3Z7XPG5i2OhJbV5jwZ7rJuKaAsOQOdXJjSe6/Zwo8S9oGZwMPrQx2eUJaDmAZoDHUBQyD1VBGUdiBSwzbLcCY5f7jCcKva/foLMGbqbOHpqTuxOvohm5bLQV+uOkv2ZHYRazCmbAJTTZVPlQUnVWTo7706nU+EhJYI6RkgMCK2LxYXTaeiQTNCeXL27c9Az2mxdAK6YqSDsvqnD7kdoCAhrYbdyigxyfKSKB3SCHnTbweBrX5Og7BPqGFtHt44R6x1Pxz4LMDR72EIAeVNonR+3V+9sagQURAekubbAqcGVge4jgJZY92iAPqJGIKZ+/c3hRi9ubIK1CEzvI8opGOyRFdzh+dqRt86bB8SOUjDbLtsAQThEvQUBSt9RL55QENLbxn8V+osrOF5hYE2xLJpAGQITG93EMgZpY3LG+yTahH7LBV+CaAsu1br84uiAzcgJndf2/EMhB6aY6FTrrlcbbbH2wLVdc4XBs/geeRc3xTnYuDAWl8JSUEWAPQUE4R3eIUKnPdf8eEEo1nUWgUSBjAlSKuJxAWrlPhkiRbvcb2+glSGb2rbDrzyYt4O/zcmtG5vZ0ghsnzbxwGgKzwP9q49/I78c7eGIJXJegIlnGlS+oYBQOrMrw8XmGROX2tBGHEtVMT52e4WwC9aSKju3yki7zHttirbpBEMzhJ4kWKAPyySdDjO95zgcV3DmOon9/uaccb/gMHrB1V4IhcFaGxdj5wk7GT1o9AC32igkD2qkADUHFFiArQLNAuTQko5W3AFaN1glQGoiH9bn42qBz172sYPtFmbrJniBwpKT5CN18gYRJQYxPGzPMLHCgGJYFMNTYZEtCvSQ2Pm0xNnP6XgpCJX833BarmyKEH6e9fngvABD1ESBz2+XamJRAwPk8bG0r9M2YxNr9OQ2mlpxjUQvODUoLmi/m84Vw9BVZAlJpN2sh402hgAuBEYuMm1bBVj30lT5G9QT1N0ImaOh5nu+TzQKD/25+yZPUhjsBzszKeiItrccriqZYwOXe/dX3NPxJEhejDH7jhe0M07U9oZuOsDBdBCS2XNk0tfGXi58f7XJH9QC6DYIAeY3AcudwJM5DWYrAc13NgTMpgulh7LZ336Oc3NJ5nk4fyJYXiekk2L3PphIY23ICg3C6V3n9apIOZwAnYDllaGDEv1FvuVnhExeZViEjQAA8yc86/ZfBcQ5YLk3FIN6wkm16HAbcfvbitvfApfXiuOXLD5O34tBq8UodKB6r/kJgCPyNETG0hMFOY9f3Hb/C9g4RkBvFZfPuIf2Xweko1LI62Drae8Z1h7HTO+5bnHh+50/9aInbbpMnJfLdTSou9ANt5hhYJeeiV6FZoEcyXHdNt/mV4IaR977o2I13RipwP4999NyT/7u/hvF3S8F6yHh418mrHcFd98L9t8RpXaxmHF4CM2+ANpMHRWoguEbVirWzxfsX1/w+HTA/+Wb/znS+wFv/gMRRs8/C1jvFevrCnm1EBWQA4UEHyPCM+O4MiryrgKvgfM84Lvv7qAr0WvzJ0CdFPlQIYWwbKIigemDIN8Kllf82vhAH3Z8t8PjQVHvCtKfH1FyBJ4GYA14/vYGz3KD8auEu98J5rfA/I/OHGk5KooqYfGWP8UTVZj9WWR1kVIiafAjCLsfe/1X6eRueUg+8NoTGcJoKEGNAGCjoOpVvrjq1WiV9p5qo322CrRVmTw6FHnLVdxWJYcEjRGCzLmPMbaugP++WLAHWCIKC9A9qQR6J0TAKpX4GAceFDyktCXATGgFnAW6ua52jbZoftl2/RwDYcGRd7aq3xoP9S30Dd7F9aQhGVxsJdSNh6DBnmqHKQG8D0iFREFZOVMxrEw4pQLRhGoooEAew/CslizYNZqQTJqNmG7ORgyq4bxb8a6pmu8NYHUnURX3B8ETPHGQllD7PNFeZQUPOzFOlSssFtvIK7vPdVeRblYb95J6Iq4GO7oNgAj2gcUT78iQWyq44ioCQM4k5k9je5YOsdoGy9XUBfvoJy9MeHCqhEl78G+c0SoBwRNYC4B0q6JcmNBcBTyySXBfdnZRu3K4Q+AcgjmEq46V2Dr32lp/tSZOYEAvUtnlsevgjFdClRTSClxtJNQ2eat8xnXokHSs/bOpnkpoMgyWv+3U9Pmqdr+WWHMmtsLVCf3Qaom6iWdIUsa6lkBrcUhRh96HmSqOUjfBu/krFdIvWK0XwFAHW06Wwg4l5+dWXmvjyLlYjq1PBUVY+oL3P03TwA4/MGO1jontp0AnoNZCdMizRvo7LZtn4D7FedulmH/xz6Y99VElxjvd+iMxmzZ/6EWDhhaxPz4rdQsw4GzwAKyAGvy+TqSRhNkKNimgJhZkwkraiQyJHV/rlklVYFlp+xNhoZoCi6O+dhtUjF+3+nPfdrt8T9pIjr4nenGlLY93iAOY3LpgoXVsGs+a7ZJWWBHtPpidQ74fEwRD5QTp97cp6oSZc+LrGKyLpK2b5Emx+rgx7UG2Py8X9HE9hm2R1DmI6Uy6SDH/VZMAk5reg3Rbs/fZdrj8fn2vNDsT5/YyBnA9hdbt9z/b7qjZuRZLbBWdP9kezMaenLpj/NBm234NPkJww/vm93xxpK0Di7ebc9LFtrx4VHnWaGKzocEB1RMOJYc9SE9EuzG1n3W1Z00RsgnBFN2WvGvBohG5d01/BFxbqDYladpV545ukQBeiHe1drECu+9fAMYfdAHL2qD3asI7fu4DIJfclcbtjOcIPTqlZHBmb0I41LCNUtwkMkS30Nc0FXqzpzbaSzsNplonW6xgzCKx36s2ZEITGBY+p+FZNwkh4FoKPrqo6SKoxWKe+O6YeYsKatBm+676DO32nHf8wJANBSEv7N1tN4DIFfu/DBUS6Wcl1AbN3yI5yuSJviBegs2KZ6Hd0SPqNLmNnYcF0D36aJYAVGiD2buuhKNy6qDIBxZ5hqNi9+F6/f13NLGIuv8+Y3o/o8YDHm74uekY6Ieg7VmGYoicuElaxEbSGQ1tfsf1TScq+rZxgANQ7kh7GR4Tk+y9jbTZ+I86wAqwnK3rcS/pNvacU0dQ1dEOph+GPDRNsw3v5MJmdceztGfL507/yBm/lQgONaXyc8VwzMhWyB1OittfHLHejzj+bIJGzpwdjhVhI/gXL0QceHHe8xBSofj5OShudgvOjzuMXw8YPwgO366AAs9fUsEfNxmvXx2pv1Ai5ssAvE9IR0EpgGRq6+SVfF88DOQRV47jLPsKvcsULixU0R4/CmHc4J6PM3D4ulrcFbDeCo6Hik9fPVOs9jnRh80sVO6/Fdz/OuMRCZcqkFgZv3vXN1XITI5yyP3McSFgL3LFF3TO3/f645PcUhBOS3sjKTZXbwrmBExFdhWUFQZdQavg+YV6gnwFvxLnVBVgBUIM2MKidRw6H3EtQNWWQ7IbEKF1AOruahakpgDRARoCnW+tjSMIEahXZKMg2SyWFrwIjTAsatyDziMEBMNzRjwbJ8dGALSO3RQbp7Bx6EYvDoCJggUuEPRh4/CDSy3RAXxnUhwCTYLdFUJFOU+qFkImxMYnNXhy4WHlh2K69MouwOsbn4B6ZuWubbBzD3gd2lxNadLHzXjCv4VOevBDMQoLRhJQ9sAMVkXzZJyKAw8unyNJ+9gEWC1A5XOIj5EOaarN4akF5ut5AIpgMO5ZHzNDB5aLIL+aEC2hpDJqAIYRcqWkEYCUyBsEEJbSq+f2nMooKAv6Om4CVagfKPxiOSSKSRi/vB36Iqg7awtWQFB7ZdYDM09co/SEfFPwaV2sahcRweDRiwcOKzY7iLO20UxNEMjPqE2i1TjEnpzsErtyufbfgXdHxKq01ydIF6XwZEAaf8Xtl2tqqI3F7NtEUBwGzfPz2ncwsOrXopF8ryZu0xILdFidHRqOPAirWifZgrfK93HoXYP+BlNJDEAwJeSWSPihaJ/JQ9XH27B41AU6WB2HJUB06ooYu0ARJf4V5cYW0Su8pvAspUeNHqzXEUxYEgMJQqpC79xLMDVjgWh/RrKb0NS4s5DnqMB47GMxmq1PLDSpjyrLPVj+wasF3BXhnOFjwhCcQ2nJu6mLBheeOuzYiXObNjE1BBabHNrfZu9qL1oCPZgOg7QjwOGy5IVK6xiRh6pXgnTtTEiBmgpGSbnq6I/S0D7VgsEySCu+tDUzleee8Pt7dL8ciicGRPIQWmdrsrqfCIbSQOOROiezXpj8MGHc2ODLQE7M/swXDmd2msO6FYnxrtlGfCiYerkFis55a9D7AGQ7K/zM8N9hMds+W5V2GaUlCrIyVmCBuhccZO38+Tp0ig0Ag2CKocL6WauRXX/EgKvk1s0xJZvFWQB499O72NK6y1uO63Ck7USfVX/ZFOtV+9kripo6Vzaeq8VAFSjKok664XkzxCvf7z7C11KjYL03TvaincJkP88ulsUPlnS68rHbogquIItbhAoRa8mE5QxBlfoonW0xqCYL+qsXHzsahb/Aa+HMXgb8XGubXazA4duCLXon70MrBsaltr3pPFZYXAS1ruOR998KKtXPc9qAbIqbjTq0jSmrfxb9VB2ANfW4pcNveQBWH52VlAmadXKzFXXCSpSbZEAnNH0Z79x64q4FvQhRyNssB/IvsQys5UwFYSqoOQBzgKyhqdh7oRXw5MqTTmkK1fRbFVvEQhN5tXPcj8ey5/rHC9d1+qiYHhTrjeD55zwP80FwFs72rVOP++ogOL/j81leDUhfcATR/htpQotl4rkaL7iO/6y4dnkryDeK4ZFcZgiLzDAxrmrIgTjzPcaPqT23OvQOdB020wdsJJNrFTT6iNkv4bb8/3qnqPfV4lbur/3XAfX7PTQC8xttZ7NUYP9NgNTQi14jsN5Ve++Asjd4tZ0DQxsvFAFErAeOSSujAHpoaJt4ksbXpf9gV336yLjs9LlgvTG04l1GLYLLFFk0XCK+f38LrMLCxMx4h1pBwPgoWGTA++UVZCrY3SwQw8x73J7vCtJTxO4XB9QBOP+soLzJCE8J8cS4QiKD13IH1DWgvI/NN0P5Pud3fMDzGyDvFRgrVZ4ByFRtrwaEIphfAx//YcJ6B+glYl2YAMsqiEtAWGOLm+rIMVe+v+PF+NvfV5R52yH7/a8/PsnNBXJZEbyCpCyFSRkIt3Po26pN6ctVWglpqL3qWeQKKukOzoPo4GNUrDqrQ0Q9DJyPlz3B4WLrEBkcTIndMe/KKfoIIe+yqgJLBUJACAVaAyRRWTXkYvObBPnAxfcgLpiAEATIBu0ZHxXhtKAeRuSDCaS4Y5kI+2sdkUhlut6xlJ5sCq6gy02l1JJdlR40SvbAqDYIp9Zgg9oZqAYbt6LbTmyFKfXRKcRVDfIGiCjiM1hVt2qumJy4Jyp8Ix6ODhsDLMnTruDcnicsiLcEs4zaflcKEC3430qURxNDcTGK7XxC2hKdgkYq39WJY6Jga4o5NMiPQ+jihYESIViK5W5Aihw/IblCQ0BIESJdqAQhsFCySXJ1rT1hq4o4BNRJUObQ+R+WyDGo7MqbeR8IrXtkkUjH1NQ4dZfo8OZypR4u23miHjxbx7klvG0P9p9XsBPATkFo1wMAkiuClUPDYB13X19Pbh1JYSIoYmI7Dg1tQUQL3rmfyyRYbzbRtcIgjBvlwoANbNkSYGEwwUOmwsfdtG6SJUyt4z3wfsJaGw+nC6Z4Uo9WqW+oADNhUg28M2aJ79zblh6sepKrgcGCC1JRjd0SygFdUVY2iW9CE2rydY0n44dVXxe+lwCA9H1JkW8mowoFKiutsvjYjL72NSoCpCk6cz/5PmOygMRF1BR+CMsfB/isWZRq4lo92fMEKh8CFoN+OfTXi37b62nm6r58rQiXlc8tsLIrmUr4dYjAQCgz7ACr+wHAwH1gdsfELZBaUJRFzlyptNuqnBv/JEDc+Hyv7mtgt4TjVVhQCUu9nldtBSGNoRUtr0RerBORdy+egwWiXszw4L/5C1iynUKHKioQbeau5IqQKyoiBXJgNmiFGQjFg+rAZ0mhLEBn6+b6OkgPuD1pcJ6Wi22FDMRz5fi/KAgrzykIg7rt73lC4uMwys4DNP6Md+kcpeL+XCqAZ0E6dWfR1PctyYUYdcaQCNW4idJgjwL4GC3w96hwyrWuT+TtaTSI8wse7hUvNkUKlllBWiaew3nqRQwV3udyz+A8Hd2Hm1+0BLcJLxab+RzA7pcV0dMxd/8FoE6pUbq2YmQA2rNXL4ZHwbrnz8TFPm/VNnLFlXS1AtIEjrT5ulZ42Zy/DTEnMEg24fY1ArCEr9mL2ZAjnbLNFSXlqQuIcZSOchyn+rgbQSwsxOSdYDhX7L6eIaVaok/+ZY4CWIFJhXucI4gsaXGfqRYbqWK+D6g7u5bZk55Nkdy6rF546w0KtAbLcKqtiCGiTUCvvYKjb1wJmc0HH9GV7xThHDA8Ez5c9uhdZeO1u9BWe/YrEyc/LyQIgtFY1jugBhCJZnGLJkWx7rDYs/M5zTX2580/tdEs/KWej6if5UQilZ3HsESPTB8Vr//dA+ZPD7h8MnGs1844vXsKffbCmSLf0sZmEx8dngQ3v2XR4OlPLYmWDfrC7CnMdBLz2wr5/ILlV3scvgZUjCIg3hwhV5V2RTqFKIWbyuhxHEeP5RtAI7uOMFRiWHoCLBUYHwypaPZQJ0HeFWgMpF8VYP+NYnxSPP8s4PnPK1AIww2z4OYrxe5jweltxPkzoh/rbQGCYtGEsBCZVkd2oaeHipoExy8F663ShuDoSCvEFutaWw7B+IhNpeljRbooTp9HlNsK3Gbcvj6h1oB5P6AWAZ4HyHEEBkW9KcgzbTnO1owCNUbKSTiq7LBaXMFnUUeF3GakrxO++H+dsd4n/PJPBDdvzjhdbhk/KCCRhTsdKmoOpAVt0DcaDdqcKHKoU0XcFaw5MocaC2rQNppueV2xfGK/f2H3Kpga9fjANc+3wOWtEk59V6GiGB4j0jOT3f03M8r5jD/k9ccnuZY8yiaoQAXSOaMu3VHHhap2Uk2J0DZjyIrizqQFKECDrcTQEoCaqMap+5HVqgC4kqImBkyIwFZMSmMwbqMnGwYBFUtwt5VRgAehMGAQF2CIXlUyaFiyA9w7c+LVGAuoDT53VUH0lwW9zj9xjpJXHcsA4BCaI/a1UNgBZYelw6ocMil+6MGuCZXX63M5gdZ5dYhHGxQ/W3XUIDtbMQjvmrUZphUtQeHP2fVAOsfHoMxV++HaD1z7ezDY18DNL5UJ+LYSW0ZLnO26oyp5uLZ+Dv+siYf88CTQU2zKy6LBDgfangcnW8GTLdetq6+yu68briLvwQoNQckl9K7oFvZb0OCEXjV1hxANttzgnsVsZogNysWklcmmJMIzKWRFlEPr5G86nj8mqgIr7PjMzpYEm9LnVpBFLGt0Z9tQ2n4wWgfXbd1nPG/3KYAG2Wzr6m+zqahqcDvqncpo821Fa9tTofzI3rRn1OCopTIQ2QR77WVBs8MloyXXXokV2PPx67XkmRVWVvCb6E/VVtDSas0hS/q2gRPM4Tf0Anj4elHGk3P1e3el0LW/R/CGZAaCKqpKG4WUHkPrCkPQgv++0Aws+968ip/5IwI0ATO3m00w4oE5TE9Ag5AfM79AsxQmh+oRFMymt2NcqraRcu39I+eqb8cKvewyqnFv+xe6HVCZ3OzbxHv6NwWt8NES0fCD/d26u5nXvp0/qUGoEq4wh4lu8xbo18ESMZErn3ZFbWn+VZ1d0lAAUhSxsHPVdBcsMdwmp+3cWdnh6lxp+3/uRTP/vdbRjf0arnwv0M5HPw98nzWUT64QtwPtKCNp/0ZLtBv80q6BsGVt5xuRIr73LbCv7iMFYTCf4u+b0YoHYkVQWWGQaQVOG9Vcv5/K9847Po9hZNGbMUGAlIAfCGP6OviIM7Ot4cwzzeGr3r1uCq92/l6JPSkL2JKk+fEyhQbF1BRMsNDWOfbPC26Pm2toZ6yNWGPRm9/fFr59zRzpwjUPCBEmFGa8bhPj9CTFBUEZT/hn0gc7enPrx/uoMzT/CdD3rbcsdAzPXejHu8j+rJseQiKaTUrXbJHs87XZVXeKA6yj7oXiK3SImN+badgOuW9+ZwP8cKElbHyr70/v3rvfLa7VYPfINej7S6q0sS++aXVSrHdWhN8UkxwOHRc0REW7/O25s/l6WAT1GK2Iyc+ug3A+6YUFA9+n2xF63hCpgyMDOuRGMpNE338agSjSILdOM8h7QX69Q9nH9vN+fd7tJZLCvmX813RkpzWsHVXhquxxtiTfaXqCpu0QVkF+GjAWK1RFJodSNkUWtQKd2lQO7b7W7aaOrpTNLihWFg3zgeeLX3u8oKFI/Pf1FCFraMnv/EYwv6HYlSwsCPvv5x1wfhNRds47F8SHBFgy7gW7vGNSVcZuu+JbfxMLSyUyxIsW5zcRZS+GwmRn1OPV4UNAOY94OlnFwkYByWrneAFc02G5E4SdtFnN/ozjLFh+cwNUYLoYfWYV5EuERsXpixHrTQASAwqNVB/XyHMRJkgnQjh7U8v2PVXpo9MR0HNEKYLHSj/kGjlhIfIMTvdKCh25l2pkUaeemF81Os8qiM9Eq21RKHWg4v4f8vqjk1wdzepdnTYFSCkYvjvRYe0H8vg8B649GIpztQMbqB5obXyZ2mEBTPAxGQBQdrzsdFwp4BCYCDfVtU3ioWPAuveOqvP3oh3w5iW2QVRVSC1QZaCjSay7oEiXAhRFvkko+/41cmeCwZwE691oAR697XbsCdVDtVeuR26OkAEUIA+C9daqOU/VHqrtjnNFsu6hzyotU0QN0nQMpCowF1bXTBCijhF1ZNciLIQO5BuOl0mXCjlRXGK57R/lgRKhcECY0RIPT8CbiE0EYJXQlvAIIC5WsXmuPhaljrC5YhVyk6ElIB8Nh786ZIseKc6sbIkSBgjAeAx8n/kVv7b7jofK6XPB/I7vMzxaYeXSN2SD78n1QQqYTeQCzDNQXjDbVQ0KFJk4JlYB1boH/H2lIvQmYO22f524UUQkoIbeMdZo3Rn7t3cx/XfVu7meO1gniAFM5SiiZeV77yd+31ENYOcfAKoGJogACE/VBoe84iEqg+rGC5w4HsG7pWqBXeM5eqBvNuBBT76hPcW5OysPduXIZ5NKT6gb/NSh2Q53stFhDM64v2RMHYovDjsMFhwRzaA2iipPgV0oT2DFR6QYbLpqH/Xj11MVYTaumgDBDtI6OofOAo+k7RD3taijQsduD+yyeUIVEEYgrl0N0Uc2NZEr49HFCzA8MRhYb/vMwR8tpNlz8653cFtsiZMFhyEgJJdftFcI5MCuAHQAhsg1P7P7Wm4GlIEohKS1BzCKK6htU411+KiNPsmHSKjoyrFpLzmv/CV0f9Wg8MICZq4InoBvEuEtLJjwzNA/N3RKSPseqIgJ9MSC8NvQ7KKhCtxvWyFuuQsN2eLwPQ8gy9Rtle1p+9ygKBdBEG3zIOPMfbXlVDrfmlBWQNaKeGTg4dxl+gNbe4d3WlKWjkTt5H0gFNSftaBxDxs6SFngDKtadyogLJWwWgBxuL6XxlstDhskNJliNra2k3LUVQXqORKCbMEmhQQZEI9PzoEOKJW6D06bCCu5oC5g6Hs1XjbPMKIhgJwjOH8iyBdBOvfgJ5pvawgwf1VDgm38WZwV6UjfmfccQzMcBfUjuy3pRKhtmUKPR+xa1jvCjpu6bujF2LLjiLw2j933S65tLIrbJL/PdaH4Enl9KsD8OiHvBMkQa1IV8cLiYzplS3QHZIk8j4WdwCV1LrdTxZx+4VxiyUBI2nxKg/PHLsbE0Ym0Be+gn3+aEe5W1N/sKMgDwtBFXMjJnruhdZbXqSPBKv3zcCSCIj7PLLLpiDIErPe837goxucCDTZuKBBeL0fFug/tXHdfSHqWcMyIwemjUeV8r3oSAhhs2aDaTdPAlGG3HWAVQHYF+7sLco4oOaJOgsvArl96iEiWFA3P/Lxk3NBi3VdvBCxeTYhW5AG5rOGBdl325Cfme3YL8YHdQnjhRfv5pIH3KjUg3Awoa29HxwWYzqaX4QXeyvXTADz+WcD8WnF5J3goOwDsiKeT7b/kySqhzJdPuSbpmfd5+Fqx/y7j8knE089ZUEwXQI6C4UkxHNX8BWfqPv4pR3OlkyAdB0hmB1sK1wxAS3LKzjqxRgfcFmbSRbH7UJF3EfWuAKkifTMiXgT5pmJ5V5EeIg5fMbnldfAeysSYcvcVbXF85Od+/G8y7n76hMu3t5h+OxDy+0BbvbwVlIMinpicxgvFl+Bwbotr1wNMeM8Dyk0iGNBinzj3EVuPf5Lw/CfaOrt1VDz+4wwExe3fDHj9H/1gi8h74PyZcHyP2ZQoqLsRTfzL490KQwywQ/ruf6TPP33KokE6CyAJdQS++6cBdQTiITMdGivyjUAHheYACYqQAAnA+klFnQLSM2HVW82V3XekEC6vIpbXO56JI/1eOpGWWHZASewM7z85IwTF5TKgrgF5mdpYUwjv482/V0yPGc9fJMxvxIoeESX+YenrH53kXkEot9X1Wq1bQvy4d20ddvKjLw887a1EFbCAtX9gT0jqEBByTzja27zkJ3pct/0oAQNkr/pvqtjbiv82ePIZTlK0iQptq8B+iDX41ra79iJ5dxhRC1AKnUer9lgC5rzBq0BIALE2YSiVVVvvzLCt2hZRYGuxuY02QqR9jn3upgPePj+Aiq4RqBCOpRAGbe26bJB6wDbp9USID9aFR9rnbD6Tcz8rEGJ7Vi0R8uRgkxTpIuR3ZR4QXjl0eXsfleHy6863awqW9jy2ohxXa7Ndn/bQtHcDGiS4J63OpfzR390GN768ngh7AucFmg1v2jJQ42ta96bY+3hNyDmKxUSmQoCPZLmyXfHP1P75sM+FdZiDdy91k6Brg8O3OtSmq8T/b2xGrhPeVkho1/tiWe377Xp+n2/YruVLH6LeIe8JnKhHw7je+27v22vYBKTcXz244Q/0vwUAcgWitM7wld/arIXbN6K231fbL9I+Z1u57l3Qdrnb7evV9CTsAm/vTa7/7mIi19fHz3mxfr/P3u2aup2bf09gMmtokoYU8Xz0ZXcVaGgEiEE0KxMQ3dzsjyW8LqbSEAcBrFxv39+/vn0f1wSQPptciuJqpIchTjqUtHctX44q4Hw++4I/Tqtue/DYuz/dxngG4tq34/p9uT7K4qeEfk+ObnIueiso+O/4Pu4B+9Zur1Aqds54YggI1IV0ov8iOtQXaN2krVI1k5MN5QYWdLtoyKAIoym4z/GqK3a1Ru0Bo3UTKaZD314rEENX9Pbn6smGj/Dzr73cCy7oV1OAvPBXAFoh3NU6nWolNqs8lMAzGSDtagN1DsW0Q5Kd4fJjDxbNDnz0oZoDdaRKlYCwlcJtyyxXa0SeL6wwsYkptgUu9yMvbBYmxAS5hvK3eMK6svQ9tIEmZrR9TFu7FrQiw0u/8/Le7YbYlVJ7LtDuK0o/XxpiAhtfYHHa9joaQuWF72tnTNN7QEfW2Hu23/+xR1a0Qb69Gys2hxw+2iUoYqy+jIBBvbUI1dZXIGz2S3vvDbqGZzEQZoEafc87v03IMvNmxWabti5WxY/6yauC+sbWw8p9lS6KvBesOyuoemHPfIMLcHkxlJ0+AMWbUp5U895YlEKj+rggK0Jfu1ZULU43ko70yBsfslmTtqcLmpBUexba16o9b4F1Mxkb8d6MzlMtJjSaUQnXyKv+3k6RAnZDxvNArjTF12hgdTLIdlGUzWe1V3XjtH3lBcGMFvu2zud2n27iW59NrlGApJChtviCnc/N+xYmoFAAWZqUik9XIM2ov7f8iN3IRiCtFXUA1Bq6Pw2KYb+2r6spjFPMFV30zMOZoleIDgUa7DnYpAiJsAJcQF6joRT5JjVxeo0mi/OyIK4VwehjPuKujqST/iGvP76T+3yGxB2Hba8Z4bIAMUBv9g0iqULF1HS2yuDoQYcA4mrG0jtdtauN1kFQd5uIAWgBSB0D5G7oiWfxSmxB3Q1NxKTNpDORJqAHLXWkGFS+Yedg+u6CcMoo+wHrq6E5fV6LvV8FhqOLS1lH91wgpRKvbgdE/3lzkBZcFhufkidB2XugzCp/WIChwYcBEcH0MSNdCsoQ2hD3sFZIqQiPC6RWwlRsHettFy4CnAvM6rPzHx0StdwF8pAMNu2dTT/I2N2gcwgFWGdCt6bHYJxqbfBcts7UxCTEeC+KMol1iTdJhygT5SKo5wRUQmgkC8ZHG89gPB9Xo5Wq2H0EdLNbRZWVOOkOhEqKroSnHfYiAHJ34Ols1exzYfdCBHWICGOCTBOw9ihC1xVYV0gMtvcVCMYflO7cWnElBZR9ou0bvFKHgDLSXsJGtEoloOzi1bgktxXADpkc2v16F5Vv4E7VRmGNChkNqbAWdp6z9CDJO2OqXXl5q+Is9t6WAMBsdyuQ4iIrvZshrYsBMaXNgfy2NpbBt4AdTH5gsdjDD25qwwOgIRIiPJfrYMFvWwRwZXQrTAXlHoBWHiwueAIg70IbV1B217BqVwd2MRJUC0ytkyK2Lpp6sQ7G+f2xxKW9b1ToriAdMiRUhKCoJWA9DZxTp8GE2Da/uukqwvym/9/h4MF46i3oDwbr98BOxHjUaDC9kDsaoPFO1wLECNlm/aUwqEuRh8xKDraPtQoj2zRSau/WWvBWp2SJVIBO17CzeC4NfUJIpyUVHvjysbWvhYWdm3IYAAHiceU8a5EmqOMQdVmJsGm4sKII52Iw/R25yB5MB0KjALT1aF22IA0KfPU8CjmS7s/HZ/KtlruA1cSr6tSXUAVNGMeDoaZWrdYJtJFGTazIZ3JbIhkWiimqITHcziWIdXl5jcGUcMvEsURl5H4sg52d0ew9snpfk3GQZxrq5VUg3/TinPM++savx8+BYHxUjYLV73NS1H3F8GrG7Q0HKYooLsuA0ylBLLDVBKhDkS2QaZ0348K78BVgyKdHE/nZy8Y3mgMwOhYFk+w9jF/M9ReUGhFEEBZrLW6KOTpElNsBy31kInCpRiGprehBeCTP+DIByy190mjn8fKaEL+wKoZjhRcJIMB6w3O1DoL5Nc/l9cDvD0cmHe1ZF7Aj60mH9HM4rEqhP/C8klopNOQ0AEMrrLcCIHWer9tvBcaHAlHy6KkEK73wcOuICe18aUt48y7audF9micyFAAD4lMEjgHDk6CJPLWAm89sPFakY6Gvt46c+Pxc47/rGDDfHewXte1PH1O23ninnNdSIg0wH8jT5F69DuS9u9ZnQ/dkQawYXk0lGCC6AKpYbwX5YEUQC6ovn9KXD2PGEAtSqEixoqpglgG1BpQbUupYcLcRQ8aBHE4M/vOeOhVhBW5/zQKJjzByzjtjE7FkJuKq6F87bcwLKOlSkU4V6ZzZDc9dQXR8VNy+XzB8vOD9P32Fj3+piGfBq/9IOCwTFcJ+14PF1Ylnxs3vKobnivl1wPwqGFKE13f3dwXpWLG8inj+MmF+LVhfEXGQknXsxt7V3r0PKJOg7BV534ss6ShthI8X4tOz2f3KzZAuwP7b2iDBGqiW/PwlO5vDe6Yxw5NR0opAnyLSmXumJuD4JWHNu+8E00cmtfXe6hem/h1OAR+fiItePqU/PluBWpYAZMF8VzFPxbcedA0Yv+JYoZABnBy5w2d2+KoLwamwi7ncmQZR5TMYHxXjE+Naot4E8zsiSddbxekLIT/1pzPH+7wfOk2psku7e6/IB8HpJ0r+qxoVoHRhzQ//yPMh7tE49+8Rsg4sS0AIAXKOSM8B+m7G/+Ev/9/4frnF/+0//yMs5xFhDo1XfnlnzS5L/MvEWHh+q8CfH1EuA+JXI+lWR8Yu4xNtu+wilg8H7kcbq6Wj4vJFRjwHDA8B6ULUxfIqYX4ruHxK9eq4RNTL/0RwZeQFXmmWUqHLAhlcKWMTPJljCwD5jGYl24QFFlS3zazKpNHl3QF4t4hXbwe9izF4VmeHRUucDR7YEoetqIhBTZvypVd1jXsl2S8MG8ikJQuDiUsoeDiuhWNZQujdIb+9bRXFuhmN4+J/e4Vv1RaotG7jUsnRjNIVqKsiLJnwWliwGEODpvph7cO4qbQqrSgAS0zKtFnX7fVsOTiCzjGNNnbI8yJP4sWfqQdFsPFCvTrqz/Dq7+KYezo7FxUgdBVd+KiCh2Kxe0l8k2hQVLeLsFL51lVygX5vfhCHleqPLiiE1uVhkCghAHGziWzUCscUVKgQRiQrf37LD/QETKZolU3a3BYVis1aMrFzBcouZLK1nR532/MzRU9o71KYO24w51hr77YrsB2j0bjP0a4lbAzUq37V7tUD38D30h/N7NBssMH1rHDiSe22w3TVzfGk0DuxhgbQF8k+f9n3LtCEtirhkUjaOs6qQIOKAvBZtgx80Gz0qjux9jX3wlP7gvkT5+f+2Pxff2aKzftGRRoKYqyIoSKXgDybYJKiVZzbc/Z9IoCi80U9CPKKd+OlG0+0Ba5GHXA7v+IObtYw5A533Qb/slXwhvmJWhvU06HzYa2cVe6vECCDtkS8BdrmN6LtPX/+WxPyxECgvUVnJCYfqRJS4Mghv7ZtB7x18O3/qoSyVx64CAJYks9b9j1gn+N23lSLuy/w+1VPQMC9F6sCMI70hkO07U74M2q+0WykJRgWsOFlrUTRixAA6pgYOFvxqZomRCt2Sf8MP1ccZtrG9tjf1WbVB7OVOsK4/tI/+4U9tm6a2b53jwGz8aCYdive3pyQa0CpAbUGnF7u8auOLheE57H7/QrV0ILCxr0NrPD7+rYCGQCoEmG0qqkeeyHFfZA0e7l6hdB5o94l0t7t3MYJfgbWKKgVmLR/Tvv94nQS6wwXs1/7PU0MXpsIlzpqQDbij9r8Z0fF2PU2DRM0LrYn81zb0O77pXsmZaOi2Nx1MX8rAEfwwQuptd1/FdmsiXROYQBnyEYLl1ZA1OOk61dDuVQgnUsXe0P3S7DClobQYrCw1vbsXaitph7TNXuy+29iTy0esc9P3eaursvfwnjIbmve9SujIHiRyu8rKDAoYlS6S1GIFI5msc5uSRVaQWVtgxTTNxvFayVkV4MXFfi5eQ+0mcyuNG30qjgzHqjeCdz48t4BNX+8Wgyat3BlNn7C4wkqr6CvV+QhGQ0Qm+53j/e8kBEXxfCcsd6ObR05nUIxPFcMjwuWV3tCgHewkTxe7LZE0rq/NWlL4nXo+B09W4Lb7omFXRZyTHjqYrDnVVF2tIXV51YHozFUT1bRuMttvnciR7fsFPpBmgaIRiXixGwtLIK8GLVxVyCxYtzRAC4fd5AagKng5tUFIooUKuY1IX93d9Vx9sK9KOPfdO6H74wIfcWPrCPXeThShFcjY35NoOiYUZ/yHsivC7787CMeLxOOT6943W6aK99je65cNRIqBbqWVxUQYHgK7KhWrpHTq0IWoAq1dIqLVBb8t4df4tfpLf57+QuiNu3IUQF09IZSzydkEJRdxSe3FzwAgI4s+tjYnz6FgfFPHUx0baBGD6aKurqeDv2nDIT81x2fY97JfxH0568/Psl1zlUUYEhtBAXWzM1WU4MUh5kBeJzZ3XWnqqH2rhD4gMouookD2GGUrQPzEhoYsppCJjuIIWvnwao7VPJ+tKJ1YJyHGJaK8cEI10FQDyNkqZi+28zU8XsUdhnCnKFLYKcJdiAZL9hhsVQ57ilBMT5gS2gL+Q9+n2XnsKFA9WlTes2HiLILkExeUAvOAse4oFKNN8yZvmLnpEgP+PiMgvHlNAjygcIYeW+V/tA3hzvU9VZRJ8XwGMhNsE0jFQ36FoqiFoGLzGgUpFkYE6urmG7e153dXqGTBaKbDcvKPTfe7j0wPVb4PGW3DT7z62Af6Mlw3rGKHjJnP3oCRb5XFz7zxKWOnBkbLxnROihICSKb7REjE18XWlsz0Qs1YTvYvUHBCshjDRs7j4IQN4GzgF2vFBqXU6o0dd6mirnv96qbg1wUfXyAw3irj90RlP0A2Q1wmOMW6qZD7IGyfd95sK2TUaol1BVtlqp1o+pIxEIoxiuz4k5F/xwOWlfrqNohaYHNFkoTlw4Zp9BM7fcUxILwzVzhFNp1UF052p4L3BM27qUO5CW66Ik7YXJwad8aGWBCgbQT1InOeHgmRNCDzjL6PUlLcEVZnQ+Jwa8XaDSY6uy+IE5McEOoSLHwcLe5zlLROrk9uLb33Qp2WADnMLxotuMFmjKGXky44AoW1xJK9cTTgpsUkGpFfHyRAKhCshV0hgRt+EEGa+G8MrkVYWAdiYZpIlwG+WuCSPYMl/thU9gjt64OY/dTXgQtCinGdY+C9Ta2n5c6sZi51BbYQRXqUEe/hSjQw0iftxRQdV76wT9bV2mK0BDI+83996UagqDWliBJtCQmAq64zNmeJiQ1o9uJkJfG+0cvVNpZFEzPIF5qQyo4zFCKRdXZCgvWGWJUVGnnO6rzejeMSQDVPX38T5kYeHqVXiOw3FMDIZ1YhA1W5ZfMjhfEtRDoU9KZPHxohM+GXw+h8RwB2q5W4VgZFaRQMcWMooKPYzXYMs/Exgf1zq3NdJeCxsPXpJb0MPnXYPDluQtWOXQSSpQQYYTe9TT0zyYJhQiQ8xUnV+YV04cZ6Zw429ZUhkMydE5RBFHoUpGiJ5yOChLILkKKYnyqVowPgPHIXB3a1yca/DdO/ezMe15rWJhQrofwg7gGAoRBIJqASjVtdq27b/S4qSESsvR4wtS809H21qpNEd5hpONTYXHBoJyeZPIV4RSZWClRISsQi6CqXsdikYFqyKZiWxTDM89aKGOYkBXjEy+gmLo0CiA2/sbpD2HlGZoA6xhJV8mP1u3a0d7XW2C9cfQHE3NObehrWDOwHiyIl158Hx8LO8T30otOte8Z5+YWS0agQCmCXCwGEEWuAeucUNfI2Z7WlfTYc3wwO7c9zxiFmiu7hwIpwJI50zSe0VEJjuYbXGXc7CED4xOTleUm9OLLEBCWHwpPaQDW+xE1vSKPeqGdLfdMINMJiJfQC1vW6S4BOL8NyLsRNXIu6noQzJ+wG335JKIOE5Y7SzYjEC6sFmhkp73eF+igyI+GltwD+vMz9rsFp+8OiE8Ru+8Fb/56xXoT8fAP6Fsu70KD3MaZ9s0pDYLLJ3yf7bnhkFuf7jF9oLpx3gsu73jmDI/A8Mj78PFCZacoE3D6CX3g8AwM/3GH+U0FPpuhOWD5zQ2bJQblr5kIFVLTACmC3XMfs+mjL6ePXIeP/5ATN25+A9x8VZBmxfQBLY4FgPXG7s/OeqJcGM/VUZEDIIvgN79+C1kCpg/koV++KMDdiuN+RL4NKJNynnBQXBIh4fFChKTa/yE24mdHznNc2OEuB8b6aZ8xjBnnfUHOAHLE//n7/xYf5gPWOXENbgvqnSK9H3D4HZ/Z+af03csbojHrVPHd1/cITwm3XwtRNitawcah6NMHbedVjYrdbyOG58jxnjfmjzILBftvBXGNVlhT/IFo5f8KcOVi0amNWNGRQbWsvbQnsVoQRKeMk2ySRgZPAOBy3joQ2tCGuwshJcudlx95kx64hAyUBcSpe9KzyfJ9SLgHxj7KJx0LwqwmrGPiHmNE2SXE84rwsECDjaoIPZgLS0G45H4/IaDsh97d8S6ECfs4f7amPjha1JztzMPi8gkrksX4y5iFAiXFZslFYHooiE+dCEAlZz7CeGLwKS8FLDyhqF6BB+rIJLCMdlhM15U8H5id32SEm4yy7BC/sU1oB2GD1xSr4qggrgWamTT6zzoXoSW6iQGVjhVxX1CWQI+4qRSXHQWl9CMwPuRWzSXcycZaZCseBOMSATYyiYeqCgemx3M1B0hbezmbGTCOowDpuVLILBfCNUPfHhLZ2dVoQVAu5HP/6KYwGORcunBtBWQILcF1vnRPcK3LLp5cmTiGrRv3B9qecIc4nLRVxxw63gRxDsmqryaCptKSjjpFVBubxJFcPclt/HQPrOE2BOuQARKFSX7h/iF/JTRauP9OXIDSHi56QlP7z9D5uQ8AZ2JvVWeDdQpqBUxES6rRD8D9t00+8AK+ue0oawLqRBvLn2QqZS6BFczRYPYXFuSidoG4Kyi/Ebu3cFeH7ITVkoqpIhwyUioQUURRxKCoVU3tlOsZDIrf1turypbod0h1aB3dVtSxhA8VbdZfmqslLRv4t5lxH1dCYZ8wJ8Qg1xxXVcBEjXSLxAkMijEvfN77CbpngabsrNPoyWepqGLPyAqOy1tCJZvC+CCoN6ElgFDzhYu25H47Yq3aWJF0UYzP9JHpxGBak7I760iFwHE/okA8LpC1oO4S6pTgkH0NAt2nBmcPPo/aui5yXlnImpIVUTaqvubXHEYYihX7Urc1Jlrd720h6T7uI8ylK0U3X12ta1fa1/zVuupgYBsAwLZ1Q04M9BtljxZ8On+q3BXIPiOHAVICtQ1m3oejG8LKmp0UzvBmcZCOmcEYjGKBjhIoglLYwU0x43aYUdRGR6zCDrkXawxuGRcmuOPD2kZKQQTVO6KOrgpcrxjRE1gr1jJxZsWf0E5LgNfaeKVN8V31Wi1/zYgfTogxIL854PzZxKQ28l6bf2kJZ++qEi5JManhyLFLZcdixLZbDfCa0sx59USRWtIyCNQ6z9oKUMDLAyUkABpagc9hj34m+tfiYnB8saJuiESCVWnoI6dauOpzLEB6WhHPK/LtaLPbjcpgAmUAOorKVK41AAGd8gHQr+YBDS4eF6eo2fm7C5BTRXxm46C+3qFEabYmUZvPD1ZkiFkRA1BKhIYItakGKqTE5IMV6Q+1xQAAkG8rdKyQHCCLUVT2Al2twFTY3U5PqyHCoj077fvIuo51tHjFIDpaA3LlSL4IsLhzSRz7c+mKt+6nx2euQRMnrLa3VnB8YKnQMCBkn2FOmwkLr+XySTSlabTC5viQWQC0GcNtlNlg1L+N8IVGjo8pO8bUyHyu6y0LR9MHQno5KshROPzd+Q0hzOMTizllDC3xmF8JaowUQZxghTGeE63I8GrFze2M037COYwoh4o/++w9Xo0X/JuHnyOsgumD4vDX32P94hW+/yd7LK8rdFeAQTF8M+DwWz7X9cB7PH+mnK/7JITImwlqAMoB0KiIXwP77zJOnw+YXzPm33/DRGs49QZH3Sk0Vlx2fG63vw7Yfaf0dV8ochHsv6b6cj4w4UznHtvWpIZS4N4o5vuDEvqe94LzzzP27064XO5x8xV92e7BR3VKywnKzmIBE/SjrxToyDE64SJIHxN8LrNGQPcF794+42k/4XI3AaIIiftNbhkfr48jaopXXeZ8UCAp6ioohckt7laEpNjtFwRRzPvMXCQH/OuvfoZcAuocARWkmwW7/YLzh1c4fF1xeRNwvs3Y384NJXV6f0D6dsD4KNh/Ww2dY/5rLyiJz2P3saIMLEbInkJmr/52wfNPR3z8xwCRLhTfO3wnGJ8Z0+U9rmhFf9/rjxeeipFB0WqHcopA3ciJBEtonVtk4g4wmBKC9qQ1gh2YLScIaN0NmGOVgAaZVEtgisGwyhh6EG0BVFwASUAZU+vqOjS5jWvxz2rQW7FuV8AVdM+gdC3BteSdnSbpnFzlGCUPnCDSBACuknBL7KLJ4cfZlCZt9plD0sT5rOBnOj8sLKXzLC0obZ2L2j+jJQseCBRtkAcNdOZ5z+pUHRk4hkPGOGVc3mQcNUFWYDhK48i6kXlC6bxRriNa51ENnn01r3EVlFMiVHmlUEAP8H3cD9UQyevqz3ubYFyLaFl3Ods6q6n/ht4BcMGqBqk1aCw7OxYEXwyFsO0OlQoU8q6havhLT/o2xQ0ROA/dO7rbl39msG6/bv9Y8NFhQ9dJLgPY631ByX6xroh1r+1+22cqgCKEyPp6FYP3/xjmYyOy0opQFoA7ioCBUGgJmMOyfd4ywPspNlIgWZXa+SCkGHjg1Ef0uOKmWOLdYIMNXlsbn7ndX3Q7lv7HAzCzfe9E5R2Qd4q6U4RdRkwVapysPCTkkKzKKI3LlS49Md/CUK9GR6k/X9trq6DOETVWYCiY14TjeUQtEfWYIGvg+28S24686O8lFvSo42W3MN3cO5rDkT6zdeErn52UXtRpY9qq75+KH4xWkY0t19rXfStUluLV3mi/WjgSp2roOlD2D78G569u4dcO3VwP0uCx/vwcmuuiG+UM1BSbjbGLSrTEy2tSAdEMxlG/UuwGOszPYMDtewE8qwKg00D6R2DQrtU6fpsCU5vpamsbgAbJ6mvTbafxq1NAdXGjUlkQmwsTXRErtG06a+5f1Dvefg7JFVqlTrDxa0xuPaiJdyum3YJTCSgz/Ux2X6tCnQF//EHaFANfq7YHNuZC5XIg54hLTlhrwFwSjsuIOkdIDhy3cTZBQFsXfz8foeYJvChpGxodDaDtc660CrxDvm78nNu/X7OCzzUIMAwQ2TjPEKgdEgJkLRgfWUxtiIpq1xPYxYcVVnktPFtqDH3uvNE43H5rcnVfzrnV5Fw89Lm6ALLTe5JfP8w/8t54FgQ4xca5i2WgTbqgT5kCdI8rIUVHgqmhW9p+KRsE0IYCwGceUXaxn9dXxQyYMI4deXa9W8ZZQ8E40sqQS/6c6q5PEmhFd9cScYFRBURYpKg2e97HQ/m68bwwOkqivkfd2fvuCkKqqHOEEgKD9UA7T1bozruA9dWIMgUkUxouhqa6Et3y+8xErijs2mrAWiicgywcRXM2XREvXmb+rhoSwJ9ruvBZ8nz3mE1bAWgbG/qoLfeJ5NHy3B3OFXH1JJDc8HDJCLk3Qsoo0MXRJop4jIgLcPiazYkyCru6F8X+Oya7c/FirsWFOyG6Jkl7jo7+m18Dy9vSz6/KUTFYgfyccCwCLMFmWQNfP9zh+3Tg1wJw/Kmg/O8+b1zt4VmwInKKhNKPcYm4h+pIDQA8RcRLu00W8TbIlXxD5MDNbxwBwGuOM5DMHuOJCuaSpe1JTzDzmbHp8oa2HJc+e7dO5gvz5rwyLrVPSbi8MWRmEVxOI3bCZ0RfwWTYpzqoaZasByB/rh2hOgtn/yZFsZnSUgXrXY9vHp530BoQp4K6BugjfZzerUhDgewKiihkCUjP9CPp1BuOGq14UwKqVKxrRIyVyKV9RkikWJUSKKCpivw44vlhxHRiPAUB5MOA8yXyZ4IimJ15Z3pLw2hznkdgvqMdxAvox0bg+acjefbWZDi/FayHoTUqvLEZN77/73v9wUnuPM+Y57n9//Hxkf+IkV2t88z5sNPAw8F/1AL+OiWUw4CwUioehdV3zoxk5Q5jbB2YahXYbcJKCwHb1Bs/VCZWWgCgDTA2ox2ejWge+s/sPmiT5dck9NjqHSvuVo0GW/auXDUomSXkiD15h0GFAaBOEXkfMRwz0vdnJo27AZoChid2jj3RrlGQb5jUD0dWmRzKJS3oV0Tj0fp4ER0E6y0hyuNSIDZH0YV4wjkDLwJ+hyeFxqnzzSS2Nor8doUMFeN+RYwVu3HFmArC3RHxTxXfPx9w+cWdzVijOFRZmZQm61z4wUXIODudHK2BPmOtCNJzFzIC0KB8UBq8zy4rJjrmCQUTIKvuGxwYNTTungZ2J6fjijIFLPfW4Tprg7xCvVPAw4NQVHqqnCoCFsRzRtYOV9dlha4rizopQgdPiPkzGgMamsFswhOE5lCCWBFGAQm9A7MRuCiTdUssGN4mamVHWEmDiSkdIeFNHkgSxuUQfimKBFa1A2xuskPYi27WX9tz4A1pC3y4B03cJ7OYJUsmxXmMKHs+S3bXFUlps41jtTnwHXrlI0NCITe6QRZLhSyVXHPvbAGd85wtGQihiWH5GroytYus9a4Kq6b5BljvFPl1AaaCu7sLdkPGq90F+7Tid0/3+PBwg7IGnO4iwkJ++/AsSCerAgsXvyUq9v7eXfXAMJ4Dl2uomHYr5vMA/TBCsmCwMUreRXPdAB6c2CAXhFz8tSIoEO2ZNLpF5TNMK5COVMgqe0JZfaZvWJXfC0CZCP2VzBnQZTkDywlr3kQL3r0tFSIFnCWEntmkCB8V19A57VDOhDOPyeDs7PJqAIZjRboA508Sq/8GBfRkt4kTRW17wXlyUG0/Gy/06WHmnokLq7ySjQ+c7J5t3Es+cGb5+LAgfTwzsdwN0MhxOSJAE5dKgSiUANR9AjQR8TDaaJ3Tyn2ufObDMQNFsd4PmF/HBqdlV9toERvUQocWuuPzoEehlQiRdLI9NqReFDbRrwadrr3r1Tr9Zu9lR/9RJiVPblcR384YpxWf3h1xP13wy/gGj5V2roHwL1RBsi6jVJiYUWpFF+eDEuqngCV0YWbwvp4TnncTamVXN68RcoyIl4DxkbBNXwsv4LKISd8dL5n0jhiQ9+ysjY8rwlyQjoCP/Cm72Itaws4chdg8COw+TLICZUXOF+gkyBuUE4YEtdFjYc6Yni7QGFFvRxYo58ICZhDGCCb2iKqI5xXIFeV+wno32JkGuK6BCINzT2rrBNRILhmCIp6IFnHYtxciNKoVfBmIeqfKuZi79zz/ahJgHxtSAgGY30TknWA4MbbhSJba4NU1GeLLBLbiXIjucsSMCVaVnWC5Db2Q5udMUcSFflCTsCEo3sXSFp/FGdg9sHDkCCUW7hlvLfdcr1C0J3C278rU94VUxXrDe6oDg2mpaE2CsAIJiqUKMFaEXcEnr48YUyYnXAXP5wmX04g6BsywETzSC+Z5SqCIJpFI509svqgX34TPjesWULOiHgIEQM4B83EE1oBwoRDP9EEwmlgaRcM8YQ6NopDOHGkHBcreCw++v4zylbqPcHHPjoSAJYSK6UMGFDh/OuByWyEPM4bHD/Tr9lruBPv3QJwLhmPE9D5geAbe/tsLJCu++e/2OH2hePU3wKv/eELZJxx/OiDvODO27MxvGSLK5+su9+xkLl+u+PTzB8xrwvk8Is8J4TcjE/5LgsbITvod/fH8d7eYK+tOdVSs//SI/+XPf43/9PEd5v/np9h9JNy17LkPyh6omfI7dQDyXUG8X4Bv9pgetPvVAVhvPZYVnN8E7D9UvPr3T6iHAd/8dwfM94Rn8zkA4wfzp6XnGHlvZ/OHhLpXhD898jj8mxvsngTzpMj3FTLzeXOuNxl300fF9FAxvwp4+jMiAGQWYBkBAS5vbfTemWfe6kUv457O7yq+/G++xvM84vGvPkE6AeUGSLcrYioYBgqeHaYFpQZ8/dVr5K8PwKsVt69PeH7YY/c7nkOnP6uQKWN/d0F6XfH8vIMedwiFsO1go5vWW2X+kwWqAask5KgYhoLhMGNdE+aZMJ+QKtkyv5mw+47rvt7RTm9/yYJh3jN59akmkvk8GphPOkqiTNLGR40f2Yw8fyb4+KXFG1bAevoz/l56pghZPFOsC5uw5e97/cFJ7r/8l/8S/+Jf/IsffmPT6YRVP7cQK1SONnE1Thdo8kQDPiLCXlcdGIOoUrLaVVd78N8EISYg31iSWnrFLGRBWdGFlVrHxzeHQ4q1dQS1F49b4M9rsouKYADonUz/mQ20rwkqtDWStkae4PpYgAZdtiSAEERPqu3QzEoFe6sgq0FeHPrqiVQbZ+SCU0Guksd2z7JJKn3do0LGijQUHHYLUqwYTUVwiAVDKHgeRlw8OPW/VaCqqAZj2mauLQHZfF6w5jb6kvT1tnVrVePSK5m6iU9gv99mYMbt+lpRIleEKB0K2tYKcB5569r7sw+CX/7qX+FX/+m/x+99ObTw5eVUhTpOafvjm+6Sc3Lg3Ta7D/+5l11dr+5rYCBTJ0U9kE9IUSbee81WeVX+nc7owbBiUwkWqrO+vHzpaAZFX58fveew2a9bG9y+Xdl8fpE2DoxFq95ZZzfKDvlsCW72DmPff32k1/ZT+HWBvz9QpRfHfvDYHHo2KjBWxKngMK7YpYy74YJDWvE0TTjtBqwhYc1CEEYK3d6tduFc5i1crz/jjR0XQc0By0LOVshiHM7up67ExWydrkSirm7C7tmFrzY/dyUIpgbh9467Cy65P1Hgl3/7/8AvfvF//z2fo9d/fN23XV5lgi2htve9vh673E0xgN/o69bQC6MltwOaMEmdzJ/n6wMSNSAm2gxnZpOKEuHP6Md9hXOI1SgHNHbdoITs1uzZwnwn4Emw0z0qRAPvtXQ/LQUIIEfXYYXbjmXbf9u9Z74bAEyRkT9jvpwz1fEDf+Pnx3Y2NLZrGgAdmODqVLHbL9iPK+6nC16PJ3y/O+C436EEoCyhd4C9S/eiOxnUjN1oP4TOblydAsiCZYnQGlCLoC6xdV+vCtUerBe9Utt+6Sc7cqcL6/koK+oZdAEluLaAfcZ2ZNQvfvmv8Mu//R/w8qUmaMn4xWw82GeE63NEvMu2UqWY543bEX+vUwH6EdgLX9aRNcEmmfhvt00NQLmpPIOzwEfytYJ9BceHbWOjyF/2sES3n735Pn0AGurpB74xwNAJ/frb2eQ+yTvo5s+rdNXjsDhMFR15YgUM54f7z7Y1hp1fG0h062Lbv68Uvq8eHJrvrQbTReRYn/2wYkrWbFByZ/MakRWNNlUjIANQsyD4WCAAREcItLCJ4p1MqdKgylKBmgPmJSFna2fXXljxIiXa79q9bM8J98PNH2hb2xbLoXcfGa/0GE6cQqMWV4Hf+/pf/w/46n/8v/5guXxGcUP+rdfoh6tO/AYOD/i5bO+z6eor+PVYBVgCzsuAUlhYUN2s8WjF4MEPOmHnFNKeYwjK83dY8TgRQsvD3J5z4Ho6R7rtschCkifgLkwm1RKonWC5CRjf7AjV3jF+ygfBMpMD7bFhmO0jByBPzCf8c4rzr61RoxHkkW8ab44u5RQR193hQqWjIJjycN4DUcSg6JtntAFGPc8jLgsrvH7GlzVYnC3AmDFGqmuFoRBVtblOTba3iiAvEeuFC6OX2CYZbm01WFGtIBLCHGiDqwryGpsv5y/yfduzMd9FAStt54gX5Rqs28Eb4nsbne6jm+/Ze4Vlk0MEAIO2wirsLC3TdYr1973+4CT3n//zf45/9s/+Wfv/4+Mjfv7zn0Omkd0rkicQHhc0SBsAman+Gy8Dwmlg1/fEFFzf3AOjcSy1tMBC4RVvq0IO5AYsr9ETVAHyLaELsiceHCBsqpaA5ThAloC8Cw0KERc+2GsOk1nb0KFK7CZmyKWYyjIPxHJI7LqeMuIptyBSxQSggkCyYnhceBAPkVVK4z+6CJMYXNC7tjzc6MDipfK9TRAJYEXboYVSFTFXVpOBNj5DTMCIfC4Kw4gkaLKRNSZQ4kI8QD9U2G1W3N2fcbub8ef377GPKx7WHZZCE6kQpFgZgGb0sUIJCGmTMPoS2sFfJmkdGJ9h1oQdUq/2+O+IWpdvUaSzYngk/yTfmFCSrV3eR5RpA6dTIJ2q8bEYeMdLwWQBkfPIXGisDuZB5f/P25/tyrIkWYLYElFVM/NhD2e4U0wZGZGZVVlVIBtFslEkQRDNBpvg1/ED+M4v6IcGCAIkSBDoJrpQLLK6Gp2ZkTHciDudaQ/uboOqCh9ERM383JtRCUSBDpw4cc/e7m6mJioqw1pL7BAjrZD+6F/85/jz1/8K8W+/Qi4X/N/e/5/08zvbqbUCdR0d1Ox8ydpRB7AdzWOLB1TlTfOU0bjnkddA32BSKy9aq/s1iqoRRgHfLPjs5ROIBNMSUSpjXqKKYYwJ+RTBZwYJWcdL15IzICN0DUwx2sdqbedIt2TFbIKWdUxMUz/sthDGCrpU5ad71y5yKyTwvHljswsL4KraPGftNProjhW2eJ3gNuTENtE1+gCLie/sAvIhXCUXdraqPP5dRb3LePH6Cftuwc9u3uMQZ9ynM3rOOMQJL/oz3o0H/AF3WEJEGYLCksoKQ9t20h165Ps6XnSOXthDT67HiOUSFII/22cseui57Tsvt42HyHUt3JDeuxS9zzZewwoJHkR5Z9X3AhvCo6050IpfVAU//9n/Gr84/k9AX71BrlOzc8wLVMzJ5i5HSwCSierN6ovIPzcE/R5We1AonV1XYpRduFZaJjSuqtt9PghKL8rF6ipiX3B7GBEtcGUSPI49piXi/GaPeNHRbvMtGUdQjB+1KpO7PYe5tu6+3A+2Z2n18Xm1z8rUVEcDmaharqrbYFxFEIGS6MlJa8EmnZR3x1m7YM6NXueREtDrdTl3Phgvt+k9RED60GwdsGB/q/IO9fkhV9Q+Ih9iQz65irIEIO8r4icX7IYFf/3JN7iJEz7rH3ETRvRcsE8LnqYeb4YjyhiR5wQSwmKjT/SM0nXiuAb5/VPFGDRo1O66npt8CljKAKraiQnFVE+z+uy2ZywQTU8LeKlYbjsbwxfAi/oWH88nRLoe0HWkLIjG6RSjGpUhtrEVOqrJoJSkXZOf/NX/Bj//9F8hffuInEf8X3/3fwQALPc9IEn3RGJg7+MCq4p+5QrUugqtVVhnlzF/ekDehZULGVY4baNaiXYbdByN71H15fXlgm7IKIVQcgCz4M7sXdkDhNOlx/nUgS4Bw1cBweqnui5GOzG/A4KidsSVeFehTs6C/TcL4qUoDLln5bXyev4rioHgolb9Y0VD3RA1nYfgMzVJkWeQVcRxOTDmG1qF4cToITuzocwtKQCAOqh9b0cQ8mJJUaQWBMdR+cxKaViFs8pAmG+1uRF6He2zTzOOacKr/oRjmPC74QV+393hw2mHy3OCFCAfFdZKlRDPei8+W7T/oPvbO7qwWMTHXokQ+EPE8hg1cevWQhwtlhQK4POtW3HLCwDF/IHRxAh6BrMLYfqRx25PK73Mz4ZWhIpQ1XWon/uzP//P8ItX/0t070eUPOL//v/+PwAAppeCCzNqjKjJhJcWYHphHfVZ0L9VH/r0s8FGXqn/Ts+C/oN2g73jxhkIGUiPFr9eIqZ3d1pE3leABflFRmYgHBb0/YJljqiXBOKKcKuZZXnfIzwxpocB//rbn2LKAdOPF0wLI5yMykNohSHVmNDkt4wRshc8/5R1JNHrGahA+jYhnlWPYLkRnH4KvPmXyT5HmwPLrZ698QR0H/T59g/6HD/8FWH6bKMllBn82x0gwHJXkD+poKeI9MBgV2X25wvg+WeCfJ9BE6N7ryOMbn9d0T1lvP/LhNNPK9KjcnzV9vXv5UaQ90q7ufzrVxrzHQTLbUU4M+ix95osTseK3S8W3PQT7u7OmA8zpjHh/EHVuMafzkAlhMcA/jBg/xXh+IeC6Zbx/DMVdyrWLIwXoHtckZ6lBy6fE6SvoA8B6ZnWhgsLJFlulgTja2rCYJSBdNILzAeLYb0oZOrQ2sG1HMHCgTAqJxyiHWFh9ZmHr1Q9ebpTVEU2sc/uUW1yuSE8/5nqMP1jXv/oJLfve/R9//0fMDeoJi02zoZIOYtE+t8m+EDG85J5wRWX0qrY7SXrQlRPAJJyjFzlDgTUXQUfF/TDgheHCwTAnCNyYTwJoSCiDoQy0do+90W2P1eS9MDa6YMFbcwt0PSEu06sKrkFmugCDdZEJtcP6HuUr2VKz8bL8Aq+iCWHoMbJ4KmAZ02E4HN2l9ICScVCSRsvcTU+xlrDytVa19Kr0o3btuH1tU0aBft+xk034XX/jN4GcZ2oQxat0qVQzOmQBZVauRMPWlmFk7ad9qb62u4TbRwHA8Z3WCs8ABp8pPEGcX1AArBK3qbS7WJOBuHUXzL4DwGVVq506wgUsyfv3hCAFBHSgIgAlE13/uMu1vqDzUVZl6H9nNZnIgLJFvhGWSHNwHWFnux2zSmIiXQh6ZiOl7szmASn2KFUxpjU3k8EzIVQBSimNhxbZ0vafvNtxlYh9qRzi15oSdEP8C4bB71WNK6u6P+nPmqCJKRrTIZQANZcl60L4wlX3iA8nB/qv/vROjcevP+Ti1UJQEJwiD6wdkMblDMC0glCX3DsZxy7CS+7Mw5xwl24YOAFVQhVGFkCvk1HlMwtgW2dAAEoukI2VrtphQJLWF1xfCJIRkuSHaXQ/r8lZOufFZrmygba0VvXYivMdGV/vjbW6WMXWArruvmMY0JEpB5ECZCNIM/Wvt2erdN11Vl0nwLYvF33o/pdXjDcqqu7nW/1FbQSrzZOfUXoCnb7Cff7C3Zxwcv+jMQFfwh3eJgGXPpBfVCkNoKhJA/A6AqCr/eAVoCTxK2oo5zLzb22bjXa38qdN39e9Q85Ysdt1Ll2i/F1rTvEphi7has0cRw/Y7a82vYM+fud6K0AmK99rkC3CuVco5vUbwzDgpthwqf9E27jiNfpCXue8Vn/iEtJCFTx1PeYhFBj0iTZim0Nei1a4HSBMDYItn+P34/Pt21cNVmLOa2YSmhdKee8Au6jqCWuTUDJn5evGcmq5xFZu2iONHDfv9FZUHRKQkw7RFyu7Lwmho/D8D1CRUzVepuN1fV8qVWTC5tX3x5Jo8qg0TEaQmWryWD2n/qM++MZuQSMS0TkipcHtXN9xFpQfgAwSwfhsIlXYE5NbWErduljoFoBKW3im8apt88I5rCYINjAkwtMDImAzhJqRyoUX0Lz3bJ2bfOwuU1Bs+tWePGkeuMvpVE/Ns8Puq+FN2dEWbtusNv3UXA1oc2s7ULBEDLu0wUv4wnPpcdjN+AyJ5xZLIYzc4nb/aJ2GRaN+biEdh8CtM6VFg8JqNrtK9Zpu0LLWRzf/DnQYoB1fdZ901ANGy65N2Fg5+dasPUur36mv4MXQcoBHHvwPqDmtSgmCSpoaqrvzhn1aQHe/BFWlV+HkjrlL8yiZ+vmjEO10TiTaNPExlCKNaZkVxC6it1uxqGf8SiE5aLdyX5YQCR4fuh0nQrhPCWIEMIuazFy7IB5jYXUVjbdz6IJbxkE+VhwfHFGzgHlTQIVPU9qp4Jk/FIzynpK+r5OE3EqqcHEgyVLNQK8z+rHCwNZO7GowPICiENGMQrGFQrSrrEcKvoXI6bHHvROaSD9h4Lu3Qj+84SyqzZhBlexgKKZRJO+d1YcOqoPp7NqGqy/yyoCJYR9t6BPGYvxwhEF3XFGLQz5EBHPhOFdxeG3Z/CPdjj9KBrVy3xjWVW8de9rnlQSEEdCet74EaJGu5AA5CSIYkrqFQ1Sf3XGub+JXrzCVV7ChIbmadNFjGYB49FXwERHrRnQCpmCsh17+Udef7LwFADlt/RJD6gla4LrB7N3AIzHCBHlNQLWFSgKIUsaQcZLRg1r6z3MrJUHIiy3aImQGpbCVGIsSKGASZC4IlfGOCdttRdqIhvOhaiBjGthG73YLCtZHRA5ZJMIEhjOu+OsAVbZReVpLcUqfXpIK6cwKzTOOHDQS0V8nFX8xJJMSkGr2KLd33Be4OqwJNDxEgQ9iJJ2/2oflKf0aKOEnCMJoEHF7b/10BflE9Wqh7ONG6lJZ3ItB+2kxNsZf3n/HXZWKq1C+OfH3+OGRywSMErCr3af4GnscT73yDRAzkA/kQpNVGC61WTURZ5AMJEHsur6ajK8ADAhizCuwTyApsBaesL5R4MlfJuf2abqH0o7fNQmTPWy4yt4FlkQGiY9gcouWnCtz9WvTefCWUfx9gaUI/Bon10KUCqElJTfumYbFXHE9Xkrl0478ldCVEArSGiyhwbjbmIUQatlEvVPuFmw30+4HSbcdxdELvhipxf2lHvMJeB3/AJvzqk5f8A4i+SHz7Xz8VnVW1h8ewb+n55wEWlQuXlGDs8n1q4fSLltspCiCpi0q2d7jg2CXE1UxpXOlYtUW8CrxgEINNgl47pLHzXBcFGmQOoz4Ieh/n6YtAua94qcWI5kglMCSRUhFvRRFWD/bPcGL8MJP07vccMX/N38KRJ/BgD4argFAIyHDiQMzqTcQAuwtLMAW0O0IEVpByaGVFwsZ1uMsfEyFY1j70JzEOWg14oGkfRCAAB8PP96fWgOwwe4eld18wsGQWswNFiiJAKUsgbAgPrtfqcVklxMbE1tXwV8oiroV0WWIHCzDfc/VAoMAIVko5zKoLDvBl0lNAhZ3RdQX5CGjL5fcL8b8ePDA3ZhwWf9oyZjS49LTtjdjDj/mICJ0b8JTQlbg2ALBoP5cVsXAanA1FI2PGFCPqpIh4pPKfqjf7fqTrTlDSp+t+4RXVPK+h3BUAs6tsrOgak2W5RAphiuiXXrjE0FdFkQAoFzbBV1iaru30Y1JR3lAt9XQZOe2ofW2akd2tigsheF5JPgkGb85e5bfJY+4JZHDLTgx+kd/sXuS/zb80/x5Yd7zZt7Qa56RvJsfnne2LZoAldMOb9/vwlqGQYzpwZxVF7pGihz8WRF1X2ff7YHxAQCjcdcrUjWkobFEANmQ0SEsk8rdNgTUlnX1PfHmvz/MH2hezMiGBpJep0bqkk8gWAaDxKugShWVIqnjDAVlD6sGguwMV6uiG92oloa9n/ODAmCeejwFCvu9xf89auvkUjHLgHAh3mHsUR8dzpgfupAZxuZUZQvWDp9LqrbQU2VvqGAaC18+dzg2jGKKP+4FV5oXR8C2nu8A7lFZvloL160Ayaso9YAIFxqK3yEhU29WWOYsAhwMr2R5wIfBenva51OLzAItIgQGSVRu89WMI+E8YXa+vhSVXZxP+PT+2e83J3xP7r7PV7GEz5LD7gPJxzDiNs44nf9C/ybsdNRP48deCTkPWF8aXoWI0zBFY1GoveJNjMWZ0OkTTAFfUJ5MH9sCUMc1Z4V9kpggXFwZU2Gc21+nz4qyOkoK7U9R6X07xbwXDC96nF5GRudRZNTa4y4hstVUU1fh98Cu6kijhqHLUfdoy4CutyYBkjQxDE9E25+o8/m+SeM01E73v1bXQtXbNeEWLmzxegmtBh8nnUDn357i+WDrlEPoOwEc1c00d1nLASk+xGf3j7jNHd4c+ogY0C8EOKJkK2b6YkSCEBXQSwIbyP23xDmS8TpMEAy4/hW1Zq1+KEiavP7HcCKIN82E9IjqU5LBeaj+oHhDSGfdtpZfal8Z09Id7+LACJ2IxBPa8OoJuDyiaActOuK//6ILhjHnoHlwIgXHb0TLtz2cZuGsQDlWZEn4eJUJv9DKIeKcrD7j3q2f3h/wOPTHn/xxbf4xc1b/E33Cb7kewzdgj9/8RZzjfh3048whYTTyIAcIIGw+1bjy/lOCx9z0ueveihWDDlU0K5g/ByYXqtieHq22M9oc8unC4a7CfOXBwxvuM1ypiroHnW+MRnVsHaEWcwnMq58cbxoLOQiXGUvODFhuo+qs3TQ59M92NSKAEz3+tnH3zDK9HE1+Idf/1GSXEkBdYgK6WqdUa3KigTlGAVuirRtzNA4A9MM7AeIjXyguSI4JDkqsZsTofTq1B1a6hVBDnqYR64IVJG4QITwmHrlY6SK2muppQYNgBrsR/ShN77rdo7eRm2zcYZEABv2XvqgwfsGRtk4sEsBOkL16rQtSTjN4KdLE+iqAMhKi+F50oHd+wH1oB1z3ga30ZQPdwGBgPgINAVUEZ1L7OVrX39AkwlUbeGJQhWqVd7USQnKruJmP+GX+zcAgPem0PWL7lv8Mr3FKAEn6XDDI351/xpvugO+eU6gHABRsYuSfJaZHRoGRfUKrI+o8Mo+V1jgp7+vCcOmwgmtNi57uuKluEJvNwvSk+OcBQiE5RBRO9Kkwjt5VlXnWaHMxYRknCvY5i8zIY4F8aKJcz3sNEFrRi7QIcsFOhDR/s0HrztyYbPuKEWTshS/Bzm86rRXGP/LqsQ2CxDGNxqGBa8OZ9x0Ew5xxi7M+LR7QqKCh7zDuXZ4P+3xlo8K3bQZZGq3Yoc1wavivi5qY98/bIG12NOudwu9BhqqQJtyweCEFpRW7VRL1W4Mio4w0mcc1446YGIude1oud/y7sySDaYeDcWxlgjrdoYowQ78irILyDaCLO/M1jsBkhXEuOAQZ/wofcAn4RG/TO/xkhnAt3iqO4w14dDNyIVx6SvKZjauBmXr89PABWDZ2GlGG0TPpijbOuUmerF2w9YOWXtOUAVI5yWToMF/AfWRK0caamOOPhFpcLnV1jaV+KuHqklXGwMHqM8eOtQ+gc8TaJrhQ4CJGdJ3qENssPItLF+Tm6oJsRUtYhdQi1hQvLFB0mdSOgENBbHLGPqlcUc/6x9xjBO+SB8AAH8fXyFwxe1eYZ3nc4982gGQtQpcvcvha7EuA5UKHhdIZ2JSTKi9Jo3BRunwVBAeVLRFuqiFShvLQaR7s3EKiUBS2wxsiKDWACoqlRmWijBqZ6J2tj9GgQtqkIiOfJsX9R0iIGaUvYpiQUSh46Z5QYFQSVFTyhNXETvvlK/CdToSgpLOZu5jxk+7t/hpfIeBChJVJAhSBxQw/kv+5xrMJUGxDk/1OY3iRTC93py4dYC6R63obzs41YsYBsFPz+tcdhBMbEg7BecXuncP3xR0JkpUE9u6GDLE7L/YxAVt/AUtZpmuhyfETYxLVoROtmJms/WNTwuPJ9AxAqYgLcE4+KwFOKeh+J4SKzSjQgsQzwW46VGDDsdlkg0M32B+vt+seODJdxkD5j6iv834T26+RKKCc+2wSABD8GHZoVQGnQPCmVuSq9oiK5SXCRAfhxeUe+nBpCddVNyncEuEHGJN2Pi1zb1S1oKWnxW8aGJG2ehZUQVqhAlhUsi9rn/YIJFoTX7HijAWawRoISOMOr+6ptBGDvrosWoiWFv1VO8KT/faxVluBbIr2B8n/Oj4gNf9CX+9+wPuwwmfhCe1dRQMtKDnjC9v7/E49ngaI2oOyFYIpsWS7Oz3ikY7qcnWmw0IRUYBGldfrWJv9l5LytdCtwlHzdWeC5m4VIGPMgOAmkIryPtneiE/Pk3g84zxkx7LUe3I5xC7SjC7KFpzduszPXxT0Ik2RGqMbUyhF3/yYHSRXYXsKiARu7cZlAXv/0mP8YuM/W8j+oeqI8RuyPa9Fm6K61yQxzFrh3n3DePuV7Ul1/MNYfxC+aWxz6hRcHMY8dn+Cd/REd/lO9DMOtt1Umi57CoQBJzK1fkVJsLwVp/heI6grKJfw4fa0GulI6RHzSPy7vrcjucVQZh3Gnd0D4LdG1V8zvd6VgkLWAi77wTp2Q9xK/gNQBbSEVb3M/jDgONvgPme8PzzAhc3Lcnse1Z15NrpZ3ic7JB4LSoq4sdHnsqugLqKrs847kecxx7TN3tUAPufzvjr/VdYasB5SbjrR/yP736PRQJ+ffcSp5kxvSBQZcSzYPdGi67LDaNGLwaYoNxJRz8pXSgjHGaEUHF6GMBL1wr0wsD+xQV//ek3+G8ffo4wp1ZMIwHSSay7q3s/96au/FGmKbTSEpFI5wHvq6p93yk9oA4VPDL6typ4t9zoc+wegf03BWUq+Me8/qMkuTQu4ArtanmHZ9vh8gMmFzShh+2rOmzLqnakhllNLdOrKfFk/+4H6syYx4RaCcyaHDMJqhDGS4c8RmDxqESN2gdHKyTDKoikw8qpcHM2cSzgCyCBGzywcS78vjeHpnMcFe5UgWzD7R12A2jQtOtb0kyi36PBvQaQAFY1TQAgAiOiRkYwjl1Yqv5+WjtsPtrlqpJXtKNbkw7j1hmzHhSRBUWA7AsCV3w33+A+nfHP9n/ALV9wy2NLcD+UPZ5Mo582i5D3wPlTvoJhwoIuPyBoUxldq8Me3Ot8zMZhARq8qdoaebfW4RU6F1Y2AacGTN5BrokalNkDtQaHM3ukqk7aJf01GRb7nAo+j6h5VSnUgJ6B6HgnwVXgZJ0uytjAldGexypiRuvzgkN0ybhG+v01qSOcWRUnL6cOb+iAZRewjzOmGnApHZgq3s97nHOHt6c9ZAp6SEw2/3KTSHknuQWvfokbyJuAWqfJIVpbaOrWvoRWdAPVj5xNEZBYUmSwUIci85SBZbVRF3eByJpI2Lq1cUWWULngml8TW1GhOh+VoPvXOhTVkAplAOqxoNsvuD9c8Hp4xqf9E36a3uIVX7AngIkwUMaBJ+x5RgoFMVQgKmfeOdMfC0M5kgv++AoaDJ+xdujb/pC1g+vvlADMxw0ESqAIj6ioEeq4oRG+B2sjq547tDmwJb72DO25i8GDwQrJJtJCBIWgxbHtKxddWxEbCcdrMc3HSOUKV7526oSjShADENPa4ZV2eXrvM6GOgvisFdo5JSxdQK06a7ULBe+GA55Lj+fco4Dx1fkOH847jHNSpepLQH9Rtc94kVaVB/TZ511cIckAKLKqPpsvvOIpA4oeigIaVFF/nYFOK5zV+Mbq6y2oZFJ7zxVMhHgpa8cMXnhxxIm09Wp27OOYbF/xUiEOyW1oC6XNtATX96spmOfegqneOqpR0PUZnx2f8ZO9FnLueUayW6oAPH8YUsaYinZxZ/WZPkKrdOb2zFa3MOoGkbbCjidiqtyLq459O9MJlpiuNqkFV16T6bquG2VZa7YbnyVBpzXAYa1OW3Cero3XcZ6u+vVNARJYkShZixFNE2ApVszwAjW1c4gvWQsnkdWO+gBszjS1b6BCmqaIFrE260W6XnkJ+HAZ8LeXT1tiO9eAx3nQEUynAfHZoIq+BsX/3vgAs4UaNs/H9pv7Jk+0asfIe17PRHu/c4vFYLXsyvtV11OLbEqZID/nzIc1ZI4AYSxaND4o0iCOiuwIk21M7xBXR57ovgmlQhIjm3K2c1QdLq/PC+vc2g5G4ak4DDN+tHvA6/SMRBkBggNl3HDBOypYJKCKFiECiXYZTfzI45UmHJQ0OWoiXi5oVoBk41B8NB8VINqIJ5KVu6izT3XhSwc8fxG1G/VcTZzHbKDZtbQzz5+D2pH+Qr7pwTZ2KT2v71GBnvW5lj4ingvi8wzZjBDKAyNmQqiqEzB80HNs2WssrYgLQnoM4BzAGfjwy6R7rBPwWTVcphdsHVu9/uUI5Era9Twocik+adwyzTrTeLkRPP9IETylUw2d1GfsugWBK6pk1Mr4u/ev8XzpQc/RVMfXBMz5y83nzQEwIafSabKpzQFNooUYZVBf6HNn294Rba64X5ruqOUC+uEEsCBcvHNrTYDqKApFLXbPFWx8dSEdRZS7pKJsSf1Y9y5YgVsTyzgKuocN7JiA8ZUVUIoluqydyuqiXUGab9GjlzF0C9JPHpFCwb+8/x3+2fAlfj2+wpwjLiHhu/kGU42Yp9gE7Fx5uto0CoiNEbJGRaNVCAETY6GExQTwyEY9CQHSAWDBeOnwd+9eA5lx+cTODNd6sfUd3gH77wqEuBVuukf1RVpI1e/Mhgg5/lZ9sj+72hHygVb16l7HXMUzbBKNTuH4x7z+4yS55xF0uqyjVUrVDm2tmhQEbl1SCdI6uu3VOpJ2EAVPcO0QNBhU/15HScy3BIpAODEKaYD0IQcQC5j1c5anDjQ6xFJtJV7QHE2xanWYVbm5dAYBM+EIeSLt11kFQ5kr8ElD7bBqgYhV5XRuam1J/rZOKkNEvh0MGqfdDh+OLpEhNwP4soCfTZjLDllNdAEpFWx5lwvN6DgRAo8L+LJgy12kWiHQ5Dbvg4pAObew0wS3HAuG2wkxVHx5vkd/XPC/3f8P+Cx0+Ptc8Lbu8K4c8W2+xYN1eLlFG4T5rmJ+AYQzYfetbuJqc79cHZCyijooNFg3cxjRktU4ytUBkvdss7U2NmZQt/RckZ41g2jiJFGTszAVoAjmF90qBT+bsmUk5YoCrdIP6GHtaoMuIkZLgTw8QjZJrgiAGEGdzVr0Du6Gv2iteZ26ElgRCw7bF9HAyrqRzrumEhsfO0xAnAhxJORe7413wEIdnseI5S7gkGYVnioRSwkqyDMlzKcOfArgiZBO6tzb7OlNIOawvgZBjOtImgaTymW1UUsyG3TSFEnbfMu5fI8HSaW0RIG2nVkAPOZ1zVrXu17/t79yWX+Wi97CYjOMo87WlMhA7FoRQ3gV4SkdYb5XKNHwYsQnt8/40fEBf3X4Fj/p3uGfpRNe8A7ZMNB7WvAyPOND3GMXF1xiAsVqcElpc+qaOqXfNmEthFnuEmagFrJ5lLrucfLxEg6h1GCvJEI56uGgM3nFEmpq3xEnQf+uNnhmU1MmbLrfBnmLhDBXYNFOKypALJvnZgdtCqBg0dn2+eXSIOjSd7re06w3ZgU8KkWfhSMWtsn3zR51361JjYunCNp8Tgi3zgUvCvtcMuN8ZIgA+3SrQ+nNzt88HTCeO8g5IjzpDL7uQYs5/aP6hZpMMyEAy1GDeYf0eZJUO6VsgNAg4UIAIqGSiT4ZlBjWwUMgiKxz3tmSejH4MC1F90euSECD4wtpQusBq6tl8jirbXfpSsgNAGhaLFDQQqYXh8m+T+ktsASDMB/Upy4HKPR7qEBX8eLmjP/k/kv8fHiDP4tnvOQOwfbXuzLhJIyAihfDBdMS8Vz2iKP+vPQW7y1Yu+NAmwO5FjHRKAe0AM7V6x+1c7XsuXVP/DOulJbJuYEGFc6K1qrBz2YbDUXUkiNHJeRjgosV+Vx4LV5AR5oFFSIM56zjyAxZ1l5Ru+uSK/g8IUyzFY41Xqlx0Pmt0fbTVBGf9FxePj0i71Twa9uhcN6yU23K4DQp3R5iarC0MOQc8RD3+LfpRxAAD+cdSmGUotWA+qbH7t1KZ1n5lAYNtH/zAN3P9W0xTeMHpYCF04Lx0x2mW0ZYdG2oShNaazPZRVFPiizQ2MOpWLqXrdA+W1yx0/XpHjLS44yyS5jvFXrffciIp8WSN7a9Y8UhOwPaOKa7AcuN+iEfgbRy+X3EniHP9hUYCmJf8OnhGf/y8GsMvODAExJl3HHBJ6HHH/KCURIWCQisyAYKljwAJgxn6xgA9EA1n9sKCx6/PFZwhiGE1L+ns9n5wnARvel2pabkHeHyuXZ9j79h7N6ZKnX0uEXXO56Kddg13tW4RW16fJU0XpoFu7cZtSMsOzZ4dQHPFeMxYLoN2GVB/+GEsKxxy3IgpAvZWLWK7kPGfB9x+pFCQuNZ/xy+rjj+9oLnP9vhq/+8gHcZ/IcB3QOjRuD8+eaMJ1hnVM9WDAX0LqF/0LWZXzJqCKgvM5Z7X0+C9AWfHEbcDevsl68ebvHhq1vQxOjfarNkelV1ikQl0EKq4WKj2/gp6MxaG01TkxbnhIHplWC+B5YXBXQ7Q953OPw2rCMM2/kDzHeE8RMXPCNDvgF1JnQPgrvfFJREGF9oo2G+Vbj14ffA4Ztq3XYGFUL3wIowWXTfcwaOX4rpzWjc2xmlz5Wf8w44/zQDu4Lh1z32XwumF4Txs9poas0Iq/qEIoSX+wv+i8//PX7Uvcf/avcr/Czu8K/7B4xLRBXgt+cXmIuqKrPBeUuvCJ98U0GZsP+KkR7MV2VYEUITz/gcUBZG/56RnrSJNd+pqGIdqvr8hw4P7zsQ2T30Fa8/e0QMBd+9u0U5RXBOuP+bDOHUFJf7h4rhXcF8GzDd6jPLe01eP/lvHxG+fcD8809w/qLHsjcBtKDXlyNw+INg96Yo9XAs2M6D/mOvPz3JFdHDY8vDBdbKv3ESWxcAmqxpx4VbEujKlQrz9IqfHrJUrbK1qLCOzupTdS5Ah4VXPzRNuptGbg9Z+a3G8cvrQcvGH0JYxzGsAh6WLJpQk1ejAdjoE1mDoO3LZqUClvACLVG9TgXQ4IiAJmFrgmrJLfN6MLva6ceJwPbl0Ork3++eGi2JcUl5n2eFoWA/TDh0M/ZxXjm5qCjQrk+xgChQRaR6VRHVi0cLvIC16kazV+fRKrc+TiBOOpz8anyH32rUqlkN62fqLE3lApUS1mdlVWliapVin+noHOoG0SWHc33E02rPQIe9S9TOgmzh616Y+ThBa8/SfjdsOjNevOFNEuE/s8awwvmkCaKJwcS4qBAGmFBHRmFgPnf4bjiASLAU7XyNY1KJ95HBk0JeXGRNochYq9W+xmHlKl/B1fwZkh4qZHvRkQbb+9ZkztYi0Louajz2O7Lh0H603h+v3w/ZduAV5u3ryTZYPro6NbcEvolMhZUvUzvl4nYpYxcX3KULXscn3Iczgr2xiGBBwWTc88Uulkm042nX73DMxse1P8IunqL3JlYdZbHZomXlJBKpnhn5280mJephXpLBleyznR9XgyZoxMov1YxxLWghagHFxahqIHCDOqD5r6vnToS1CuFrvtERsCLH1bO1BLsltVvI/kd2T8wbuLA0NUk3oNJb4mkqvLVnZIq4APgq3KopCaFWwvjcQ8YAvqg6Jc/URqM0kToBmjHY/3URJTLImGxGvTisUpECem40WgQB9BG+25PURmupsv6G266Jy60iYG6btjYB5tdl9Q/A9dnpL8dI1k2BjMnsBg3pVCM1gRkZKtLO1DfjBQee0BEhEGGUjEUqnoTwUHs81h2qQW0VrSBgg5Q3lXdyW7Ez2UfZAM0+9fnaOdu6sdQ6JsRowAUXZ/KuVenWZ+azZvX3De1kIy2kdZR9PWEJGFBpLWa3cUIOLmndzY9OXyK10Y0AFoDVr2zVzd1W3BdVjVeIeOMP/QxRH+4IDjGFatgonQrdB5UJ5RLx/rSDCGEaE6Ss9saLriU2990EiNyXyNoZ3BYyfS0krsluo015HON/3M+Yb7qCvLp/gT9TtJjE4eEcVkE99xvbonFDQFn39OPHsC2E+jm1Pl/3jwQfUeTXG/qC/X7CPs5YJGLAggPNGGjBWQjflQkf6is8lwGXoiKN0kjS6202fr1txyYItDGJdd0VhXBF/XD/7etvjxv8/T1Ukk0BcISLFW8kkE4yqOtz3Y6kIrm+JmelNX0MWs9zWrLSHNoC219sImCsBcXv0aXsjKAi4GcdHRNdMboC4sKJRjUpvdl6YG34z178VY2Eklg5ukW741rc17FOlyVhLgGlknYc7R5dVJYqtIsotO7f2YqWEyFcqAlaclmTXF8bCFQ4SgwJKtrccp/gTRgfVcOzx4qrTbgtx4vGaGWwZoo9m9ITxjtuBQ960DO/PRsGEKAFiSTtO70wVSO02GX3rBB96Og8FptqAFCs4KABdimMMUd8Pd+igvB38T1mecBUE253IwjAXAImm4jSUHzeEZbt/VmBsUODxquuiv6Cd5v1eej/CWdb5OpFAROAZOA8JTBHlHMEXQKEgfFVwrJnzdeKrmnplW8vdgaUzuzipgdNR23GGbWxidRaUdSRPkJQPYSPKID/0OtPTnJlyZCbAbLrlGN0ma46M9IloEvANCv/iGrj6Erf6Qa/zKCnM9AnBCLtzgCNA6MbRXexzvzSA6N7NNz3njHfWnW++IOxv21xwgR0z3rAuOw9zypUo4R/WoNkJhNyIOuCqlNwmGH/YUF4nHVExsGGwS8mm79PwD4p//bdkwYlfafdbIO0NcgfsK5VsQAoMmTfA6xcLgDgKYOmqj/bKqpaZbQdDMaNXo5JIcJPM6jUdlDkXmW5ywCMn1TIruCzzx7wi7u3+HR4ws/6d3gZn/GudjhLwYe6wyiqwnngSYUcugvmGsB9URGsC2tXdlwdTx50s/ezQgv8EHbYDhWge9QxTGUXMd+7FL6u/XSn0JMwG/8laMXHjZsXT3z0ue7eZZCpPFKuyqs1WwijejZXxm7QQ+u8bmFwy4Gx7Ahh7NBJvQp+qEuAVMiyqABSjM3GISa+VAUUAmToNBmw4F+LJdol8m4Q5QosgnhadNC8dZiY9SDlLOgetHpNmVAuAfWR8fjmxRrUQPdBrAbbPGlwpFy4tVO+FeaSqEFy6UKrEJPBvJ0DXvoAGYB0BoJ1vX1PwpXDW1Ve1ntyCCZrl7EJo8EcpdutCXF5ckx2ktUurv9WBEBQQTvjL6IKZNDul3cHPNgFQwWOekYeCPOtCmrUm4x0WPDycMZn+0f8xf5b/M92f4+9kbCeZcK5FowCfF3u8Zv5Nd4sNzrzlEwpWvRAz0fYbLmPgiHjAGkhxyBgBp/djgYKk/OF7FkYl9RRFd6d2wYe6qM04BlfRLCJ5DkcVp/rCmFtyss9ozhE/SMe9qooT1ihKeaOdgNCDWr78ww5nTWo7TogBPUnTkUJKhYo8wJIBQ2DFiZy0bFSKahCvKz8eYet571K+UogxIsmPulZR8LUGDHt+gZRBID+bJyljTCHihZ5N082a7CiQoqJy+UBWm0vsgrQ9RpkxFNFHIvuA5+F6skAYN1E6DibIiqa45xkxoooKAI+jWhFHCJIH1GHhFX5G3AKC59NoyEGyK5r7wHLmlB58hSCqfRrgFUjYTnoTMa8A+bbirqvePHZI35+/w6/PL7Bn/ff4tPwhD0FMBi/yYSv8z0+1D2+y7f47fQK5yWhCEH6inzUIIcXtQ2nfJTebYdaccOD3zhdw/e3KAcXDco9NOAk1T9QURE0AUTKQPfkBT9aESUmTkhVxb2a0jLp/whBR+JE/32xvafwcGE7Ly6sCIRN0VIigy6LIhRS1FikSyg3RifaKnFbopjvB/ueAp4yqglWKXRUs0RHUkDUN+t4Kw3q5kX5zmVWSKY8M6Z3NsrFA/BOuzjxTGtBvmyS26rrGke19zzQqgDvSaDt9doR6gIsBxW+cV0Gp8To+Wh6CLIZNWidxrwz2PGlmAimapFo00AvOD7ryLHaR5SDioIN304rt9f2PC0K22yaLYBRKwhSbezWqbRC9rZ54EkB2LrimfD6/hn/009+h12Y8dVyDwD4Xwy/x4EY/8/pFX43v8JXyz2+vLzA+3mH05ww56hCialuChnaKKOKVSl2lgYfdQ0QH/MmrE0CVEGwxCTvbR6wFSUQgGJFUZ4tbu11FI8Xdzyx4IUQT7WhR3S+MGO6U2fdPdcG31ZKX0QeDNloomeeYFOukMdn1Om5rV00UU/vACts1YsRaM2AZUe4fDaAKvDpfwPUGDC+Ut+STkA8G7Xront62Wkcng+MZc9IJxiaBujfMfKFEM1n5x2w3Crn//Fpj+dQsHwYFAptPNDaV+S92eSFEE8By1FQbzOQGfFBBdiG71QDRotlhHABhqLrvxwFkoDwzMCzqjcvN4JwJhz+oDDj0+cB0wv1c/uv1nuiqs8n7xSBcfqUES/A8fezoQ07zDe6J8eXAdM94fGvlNrw+l8zjn9Y8PxFwvlzW5edrvH4Wv9Oz7qGeSBML/TZ7L5mUGWDKQPznY6JZBbEVEAkiLEgkI6MnKaEaUr4rx7+GThU/F9e/BN8snvGi+6M/+zzv8G75YD/7v3neJo6RSwMBVUCXPE4nrh1k5ejPpN8rOjfBtz+HYCzaQYY7SXvbc9NAC+M4Z3abB6cV+y+h5Hf3AIC3L5VobnxJfDNf8qIF8L+D7rO85Ew3YdGN61Ru+NUgW+HAWEammI6z/ZcrNlD1XweE8qesewYxYvr/4HXn97JraKOKmrl5nsv604SoLC2ENaOrgXPBFjiZ3wkhyeZqt92ELrDCwBVtHRVUt+4DkHx328Oal4T3KZGZxy3VqW8qtChOaQa187fWrkuehB614MIgjW48UrxVcvQK/d189/bl3eBvCPricUEhR63RfDr9STBAqpglbVkXTgm7aTR6rBbd2tQSMpNr4q9d/GCl/EZe55aJ2uRgAJCEUYBo1qUzM6d9hmJriLrLz9wgTaf17m5rrrGuYLnrAqhvu7GbakGUajFch5G4zcVsQ3myamsn9/4kd6RMV60Bh+xBVASoMkInPOlz6j6s2bC9zpc/t9V1urixy+p67PfPl+HecbNG53rmi05ZgIFuarWswkRRD+UZoKMltBZdY5NrCpMCnXlRSXxuUhTqb6q8Hug7eIjFQieMPleNn5WUyZtaALtsriC97o2/gUf2fP25ev2x5AI7AkA1s6v27jteWFuEH3x+atue24rZucSBZQqYirYxQW7sOCGR9zwgoHEbFswCnCWgFPtrfKfUDeLRuIFMNFCxWZNhbw4o7fv9tdQBF5I2Qj5rM5kLarJNqfZVtcNHl1t32uXyMoC9rtb9WxeAIK0Ih25SX7sa/6hV7DN6EiVnBXFwHxt13/sOQLm+1Z7164wGvcxJG5UAgDNP/ACFVUyRXwXrIsXrZi3zpMVDrj8A/e2+aeW3APaqbSqz8fiQC5kdHV/Yv/zA/e7RSps77vN0HbBtPYG33u2idoZ8bGv2fgQ74xvEBfux6pBVCWgBYu3w4TPd094nZ5x4AkDaVdnkYKn2uFD3eNdPuJ9PuApD2uHi03NPQNSqJ0XravrhTXdhla8QaORtEvfoDhaJ1c8uUcrXDQfL+paazJ/JIA4P9/QVI3LbOdj64rTev+ejbbug9FDaqDVf/3AeYtSTBiQ4SP/fNbztvsBoHU2KedG56DKOlGhqGFSUCFLhSlyK+5K8CTKP1fXmIOfY/oVRYBaqEEoyVAgsILZdu2FV/j2+gCw8Ssfdftb58/91cbHNSTDJhYypIO+yT9b4xyPm7xbq3z1AIJScbYibevaf38PaQFYn+fKNd4grWi197ZfCdilBZ90T1ef1RGBifBUdvhmucP7ZY9LSZhrRK28Pn5a/3gndxMGNERCBVqXd73ezW1s1hpsx7+vb9i8V8yXddTGdGnh0fb25lz0NVC6Cq5tkDf7Em776/PXDmi5snOCPTNWgb5sEPqPkULCaHOV+wfVFch740jPFlMs0iDaQoxqM8qFyFB562e6QFa0xCkXjdvLrHuSR9aZtgIUKwr52nJxvrTHJXouhGml/5QOV/etBWVCCaIAQ7l+NoraFCtSaGyVWuKuXfS8C23NFaIvTSgszGIFC31/6aFz3QvZ5IUMLnFTQDY78K7kot+p3W+xoopqUixH+70oBq5SgUwmQRdVL2cpwUYbEcqiDb3v4hFjjujuCv7J/htMNaIKQUQRMGLQfNf/8Qagd7d1Nn1t9B2lDK4+WqL53eoq5GJiXdJ46C7k6+izdBJ95q8J+T4DFNvon3prM3N9fQxtB9E1cAE39+EY9ff8rHdkVul0vFD5oXzzB15/epKbtQsbpgWrOImgCVCdR+3uLgtkHJXX2MSprNPVJUiX7GCswIKmehimgjABNbBVH32jU6tw8mLiQRsH5PNZ144W0D3q2AHnJepoi9DU/Fwkwlvi2sG177HbFVbVRtTdFdTTlSF5LOBZq5tye9D3OCl7zqBLVb5mUlhr+9lSVngzAMq8Bu8bpecG/bZD1YMfV+gDgO5hVmdjBQPnepRODakMAO8z+t2CXVwQqeAYRnweHzDQgoEymARFGGPt8O/HH+G/e/oCz7nHV0+3iv+3jeYqbahr8glDXAgrXGOd6wnIQLZBEsKwKh23YI60cqjjdKCzspJujhoF8y0AVg5wOukheXkVdKSQcRHzTrlC6UToHmZIIMw3AcueWxL5A+et2sizqjCjSyAagJM/EAL1vQnxCL6X5FVLZK9gu5bIPp/17/0OdT/oeuRiCaWqj1OuiFVQDV4tAQiLHgjxokImHvRvX60LW6wyXNxpCxy+vZ3juE1gPUgsgz+jYPZKBhcJ8LnDPlJLDwH9/w6RavboI2SWrIetJ0ZbSL93doNjaQRYlKfLFphKCpBk3EOfpRkt0XKRKRHwVBu8X0ArAiOiFUbSkHEYZtx2I45hApNglIAiFSMJihD+UG7xVHf41fwJ/jDe4yn3eJp7nJcEydygTGGkNTDYPn4PQOtaGfcEVxioTLCV9VhcczVWR196q5puX3Zwh6TPg7PO0eMCVXu2olbd+CAST7wIeVAuERVR2LusCXejACQGi2DbzaVxAY0TZJo1oT4etDBpAklNJ8BeEgNwd9T/v33em+BYbcapAkFh7kXQPWYol1I/t/M55JFsYD21HDGOqp+wXuhVjK4d2wC4yqO/tMu7ORtk7WiFcQ3WtSPHkGRdldMC2iA5hPk60QzURtjombV2tyWE5gdoyQjPtdl1C2jJUB3Hve633jb2tggK6O+zFgJ5LqpAG5PeA60FHdwuON6M+OXtG/z1/it8lj7gk/CEAMHfLoQZhL+ZP8c3yx2+nW/wzXSLD/MO5zlhniOQWefblhWKlg/Ukiu3a0CLDd2prsHHpojjdtjQRayaGnr2mMpphGkziCkGoyFtlDuoo3FyYbAFwFuhPJDxXTfQZKelCAHzXVz5qVW0qJAzZFP5p3GBdAMwdM1305wRRqPCBN4EWLI5c6F20ITAVPWaze5cYZ6XivSsnWSPI9LJEhhDcCwH5Z1B1rFiNan/iidB/2jFGFtLT279MzReMUi0LY0nsCooZPzgjiE31JSxJQDZC2DCWhgdq/LQLV7wvSNkhYWOr4qbknQfU2SgCnjM6B8uijg4ds0v68Uql1eCaoOQ6P1RLrbOipgruwAIkJ60o7kcI5Y9owzAfKtjWZbXGbzPuOkmVBC+SB/wT/uvAAD/n/kWi0T8YXmBc+1wKR3OuUM2wR4iwaX2wMxtkkGD0ltxVH0JXZ/jlhjpiEjtMAWjW3kn0OlUXuBfi63SzqKmsm2TBcOktj/frKOoNNniti8gAbyXBqGtNh2DSDDfBITeuuAX8zcv78FzB5z10i8vGTKT2pfAumFAtQQhPatWxHIgnD9nSygDwiI4fFMQ/67g9EWHy6cEnrXTqYgjL0pZUhMI50+1C3j5TDuz8RLRPa9Je00E1E6Tuaoq2WEk9G/jmsiTdl9rp0ll+rJbC/6ie2Y5AGWn9lCToByNa/q7gOEN4fyZYH5VEE4B/TtNJC8vCdNdxPlzwvSyInzJ2H2nQnLLUfVq/Pl3j8p/Lh3j4Re9xp+D7kueFfrcfxB0/00CCLh8Qjj9aK+TSzpvqlkMnPWelNuqWjS7b2lNwoPbiuhM3r8fUHaC+vMnHHazzoDmijkGTJwAFsS92jKR4Dx1+PL5HlkYY05gEvQpIwRDKyRBHaTZnrBgPhZVrH4O6L7RA/bDX1ncYtDt2qHNreWq9nv+nFq+xXlV5t4WXvJeu77zXQWiPp/loKOTJhv7Fc7a5df7V6fVRMJs7+Q9MH6qe6Z7XBXm1W6A5SCo35/294OvPx2uXCrkcgEcxvkRh06WRQPenCFLbl1b7TIadLmLOmahVPB5XoMLhnEVRGeTIkCKINmG940RZkGc0AI/FZ/RxQqLwgR5EcRTtkNLu2cS0wbGigZJbrAUdzwfwf1qpOasV2VHQEAIpSpULxDqYGrJzmubCmicIX1SvlpAC5xoLBooNUinCV1tKtmAJ/cAWWAqFkCCFSrFU0E4mZiVBWayqQDWpIYXUkGfMjrWhHbPM+75jGRjJvxVQPh2vsGvHl7hMidcLh1KYSBb9ccTpygr/636eqksORfawAc9UNxCxP2e1ZHFSStG8w1huUEbjSEBKPsKSQKBChAIAYuQbTxd07xT2DEvBOcE5UGdIy96UG07E95F6h4FabQKfUog+YjYziomRbmsQa0n504e+KHu/DyrSE8IIJsVrcEsaYfeoEstWca6JjWSVrTs2ZcGZ5UGy2z8M/v3MF2r8NbEGjfLta0DaCMFgFXF0xMnLf6oEi/NDr3GxkbpSghJE7O6JrkhrMH7Zj2oVKucmw+wtVR+liayNbD+DLCuAMPnrAlZAGsBZe3Cemjw9Z8uFeySdnF7zgioWIStMwrMYLwtR7zLR3w73+L9vMNYEsYcseQAV5l2mPIPvrywY12txkOvaMiBbfe32YWLZJl9b3/uyYNmABZgLYo80FmTWpkviZofogqwCcR4YYgytaCXXWjFOpayCULb9+YMGWfIZQTt98C+X5Nb4LqjC2jBbvAEDd/rqpKIcZSoFUZgHQw2KkGYzA+YkJMKSHELAgBNSHmubY10L6y/05A8H12DDqnfoD3Yxw2hjd5o3TsRSAyG8NGkp90HEZwX6wXKZveLjQJihuxMfd3nCPt+CAyqPpYoAI2Xqr/vPD2lfGyyXOb2M+cOX81AtkJjv1twtxvxxfCAn3Zvcc9nHChjEca35Yiz9PhmucO7fMB38xHfXY44LR1yDqhFg9tmc5Ysld5s6qRnjl8WF2nCRQ2UUNbioXj3lFY/24o5B1iHwYK7tHbzAVI14SzAorbdVOE9mRb1E9WmL4TFYcr6R8eFkM1Z1QKPiybhqoicIbsIGSJozKBRIyaa8/qsvZCRq/k3LRrXXdp0F20BApn6uyIWOBd93z6hRm1XxHNpI3hAylnLg8YR6UlshrD6izgK0kntvThKw7pbLsa5tfeG0LECn48maXz+Tcfvag8susbxXBCmomJbXnjP0rZ6DQxGbaN2xPjijuai0wx6/wjaDSi3/TXce6la2DaRQ+cS81oXgXMEudh4obk0uHRJhLwX5L0g3czY7VQ/ZKkB9+GMv0iPeKgB/6/xz/Ch7PEuH5ArY6oBcw0QIfShGPXECjluS2br6g/tqIlArXRVEFeOrNpYmC2unFXszudJl150/rx1D5tvChbMM8AjEC/U6opCaJBzzhonFZvzCgLyTjUaWkGTPQ5VCkYNdi1GE5D90DpwgArSJdLPVn9o92txa7KEfb4hzDd6zQpjJ7z4HxZ0v32H6cXnWI6h0Rhaw4JXhE3eWzduJ6h3GdwVCEeESRCDUuRqhvk6TVRqJ0hPhOGNnn0+ama+h86dvQT0b1f70LFgGg8uN1WT213G7d0FlzEh/N0Rw7uKyycMOmTIzIij+q58sMLSbYXcZEjotAFC2gApPg8Z2iQYvrlgfjngw18GLUBbgThC7zeeBTe/m1AS4+v/eY/Lj7LpRWgTp8UA/hyOguW+onsbcPi9rv1yQ03AD6ww7fSs/y5C6ELRKQ9UEbgDkYBDxXE3gUgwLhqjPFwG5MqqIM4ViSs4VFCoVojT2KxC4/R4O6MfFlyeb9A9EOZbwfy5oi/S26jnsdkrBIqkDYLlCIAE3QduiXDe6++5zRUr1ksSwLrJrr2RD4JyU0A5tiKMFiPXRNfRQ7UXlE9n3Z8paRfd9mzpVDC3jv9/gisTGV+r80DHPYcdCvPSIG+0GwBiyLyASlH+Iqk6JW8rpUTgpWjQYfBbQCvZwMqzLPuo3d1FmhpdGbjB/xTa55VYrImpqWr655JI28DChGLtek3aqEGinZPrYheUZYV6usR5XFU422gNh+0wa9Bv961dL4OXGIxP1WJd4KI2uIlX/msKIKoIs3a/CAypFRRIFS4FLRirQ2oK1SA1onjSYC+lgn0/Y64Rb6YjEhUEVNyEEb9M34Kp4nfLK3yz3OHDskPgisDumWHy4rRJsKgFSD9oJw5j07MRjTdt/y2ElvSWjrDK8btTtvdbBZKgDr5pX9n7vDSbzho05NseLgSSzva9Iq1zD6BxLLVLz4jnoPbM3fVNLNbdqVU5uP7yLm4VyDRdPTMwg1KCsAbGyks3W2F7/kWUbx1tTqSNo5IJ1l3RQKIm1sTdktuPYaOa/G3eb3C/Vkiwn7vrbWIVLdKw9ShWOY7W5TWutI5DWb8Dbt/bzhNRUyjVxNS6tRtxIokBba4wgIb+iKvfYB+j4iZnHVxxATBWSXwNJLihFWQb0BH0YCABQ5C4YJSEr8stAgQDLSggvMua5E7WNnTITxXSQoRL8bu3NPv1Wbja5bYfbRLcBqm1QMq5/W22qfFP2vy+TfEBHviLtO8vxvHzIM2TfdCa5PmYo5JWCoHPkNUgDfr+IhrED4OWah/dlisoRmDoQT7eBha8u4k4ooRpTXpFQPOydmdYaSi0qDJwE+pLYdVcaBG0IWUMWqXJZ7H7ct9fwX4NFmhR3Nh4S+RXjloTmsN6HrSObvM3lrgaTB5Fv7Mce9CyEUWpdaOgvzo6IQKlqNcUuPleapir9TkiFxDVBrtts6aZdfQ2acFGKIBzVZX3QDqqhmAJkJ5xNWpwnPcaWHaxIHLV8Xk14QP2mE1I7bt82ygog1Vq5howl4CcGdVFXrAmPtccUAt8jQoB0a4sTDsA24KJ7Q/v4OookrVD6Qmuw9B9JEkNQNXx8KZKrKgOh0O7sJUn1m1GqSGBfAav7y/Akpa4oTVsX7WCxqkVIGTor7rsiFpcYFHetxfgHCotgbWz7poYvk+yneNMkEHhizxrUV+LGo411QJM96Q24txmn1yg8EgLID1ZtEKCpLX4s+VGA4p8ysmTT/39dFb0ms5VbrsYJCbIUzW5zgcr+vea7aVz1rPJbJVmLeAjkNrppnBVDh04vIB0EWWIbT+SCGofNFYz6DSKFpWqnWmuieI2Pt8lUE3IO59nb8l7VK5inzIYgkUC3pYj/na5xUk6nGqPqSZMNeJSO4wlNXX2MUdMS4RMKtCoiA4vwGghLiy0JrvmM704LwEovKpdlySQY2hnKmdqEFov7GgyZzQAFnuGjGqq5aUHKFDjrldLbr2AAay2XHsN7h12SuR7yNEuBJ4DOmZsp5dsz3en/vn+BLSAUCPQP+gc1TwQxlcaQ11edyj9JxhfMmpn546NfvTzZzkSxld6TemkyfRyp8JVNQDzjdqcxtfr/g+TJvs8o+lQ6I0C6VHvJZ42z8PGF7m/SM+M9MzIu4DHwsDMuDkr2ieMgFwUJlt6/e5w0dnzNTKWrLnKw1/sG9IzXQR5r88wD4x806n9+aOwSwwjsHur8ObxZaeFmQVIH0J73tpI0vg+zNQK5eFZ0Wnjq4246LzqcSy3gvHzCtkX/NWLD3gxnHHOHeYS8MXNI/78/i2YBJHUz383HvE8d6odAuA0Jzw971CrNiZCrKhmd55IQwj5Q4fMHdJkxS4B6MJWAMLqOwOApN1XIQBBzPerLRRX84fGqYAlu54cX4JS7CxxpYXaxJuyE32mSa99vhcsN1aILxbjftc1461J+etKvxS9lvAPJBsfvf50uHIIQN9Bdr1WtH3GqyUCMk2o44Rwdws6HoBcII9P2nhJybpBBTQBV8rEYwYFQjn2KLsAnivi86KHyEXHE9Gnt5jvEuJYEN9eFFZyMzTJ+yvxgsTIB4V9+ViJ9fAAYtGqw7JTh1tsiDFngUxWmbEh3K5mGUeADCZSLUEWgyLTUkCLrUW0pDaGNYGFHgCYiwZ5Pi6FImqftAhwnvQ6+wTnIpZdQLhgVS7k9RBiwJIFPaCXY1R+W2/Q0qwEeEmEoVvwYrhgLgHf5SPOOeHNfMSn/RPub04YaMHfT5/g1+dXeFwGBBIEXo2KFgJPWtHxCkurjm4CyS3WHwB8FnJLlExQzLuUNWjVbZ35CDQedoEm7/adEtGU1wCDYncq1949aoA4vlSHFhblqDZlT9vEVIFksKOSdOxFvAR0ux6yHTYtAjlfVr5YCIBUVWDeKqSeL5DnE2joQXe3+m8+a7mKKh8yA8nmeI6zLtHQQShp15S1yxus86Bq0VWr7AYb40lRCWWIrTPgiagH462bwtTGFXhS5iOats9vG5NrEWEz0iDYe4sAUkG1aILuQaHD2IiU4+bnLJFBOpdmy05laFx9s32yfXKVQNvvqVCIF6UskOgNBGxdOi9MbVUtHdYTuSBRwbl2+NX0GXpecB8Ui/4m3+DNcsQp9y3ILDazFUWFvzwIaTZdfaC8BfnWrVXo8jrjMVRDIHSMeU9XQVDpPQGww8H+Xfkqtk+EUY0nQwUQq/av/CcfgeYBmyZ9KiiGdt0kaAqZYdJgR5ggux4UN1WKUoHYgQyi7DbVYOb2TDVJCy3oBwC6TJBxAg19Ewxj2zt0HtX371WkUKJ1gGUVMCs2czNMRUerkc5DbdfgEGDAip+ezJCNTfKCpgr8rGgNat2RVnyo6isors/Ex0ORAMtNAiRagqvoiPA8rx29itaxkQ1iYe0ib9bUCletY26IJvHzIKFxSJ0+E08ZIWslvgw6EicPDFekrJFQdtqZKIeKLmakoM9olIRT7vF7eYFFAt4sN6hC2IcZxzAikLSgvywBdQlrEdICL14MUur+HGhQPRAwH7glVz5fvBUtgNaZc6X85s+ts9XmQPpq9QoO4ugdLYU2e5LNi/spe+a2D/Pefq9Qg1SHi/rz66IX4UpnoQrodNFi5e0R9ZVC7n1Obk2s3cjCIFOFElhSF7XAw+cFPM6QLiLf9PZ+Ha9VDz3qoAiTMFWAgWWvfpGyc/0Ew4ftGYMrkSHXs3Af6LQfgFoRK2bn91kimyLkqL4I0EC6e8wIl4x8SMo7LNoUaDxbqAibdrs0XgizoHuoKrDVRb3fMYOfbVQkD1qYNapB7jrUl4MVLvRDw1yBrM2F5aCJExftDldDYeRdaAJwXoQaX4aG1PMxeDUKpBMM3YJDN4NJk9yv5ntMNaGAsNSIRXSG/HPu8Lz0OM2qrHyZE5YlgMaAeLEEr199rieCXuyWpGsn1dEn0s5PLmpbbp9xtGfmsHFebbzuC6gzDRpB41sXEsC4jnK2ZNWLnpuaTLUO43LUrhnPKtRHrLQVcoXbAMTJqD5bLQTf1yJN8VvvVYuB4x2jDIyX/35C91//96AvPsX7//QzLHvC6fOA5x8HzHdA6St4MXSE+QES4PIZ4fLnM+K3CfuvNSab7xi5aIw8vtROtwpWUUtU0xMhnvXeSm8FERP36t/hyu+s9Aa0xkT/AejfCZYbwjknUCak56qzVC9AOCkkvQz6ObvvVLCRF0Z+0uLgu39GiCfC63+XEc8V59cKE18OSnlYdqv6sS6iwrsPvz1jue3w8IvO5rcCw6wjiZZ7a8ABQCGEZ21MhMkEFhNw+VSbavtvdHwOHdTW88sF//wvfo/77oKf798iUcHfnV/jzXjEX99+jf/97b/FLAFf5zuca4//7+kn+HY64nEelF419qhf7vVs+2LC7jAhzwGANwMElAndd1GF1YIWDwAVpdL9qdeie0BQdwXxZtG+1hSAzCiT7Z+dALuiVJdZ41LXhqBL0Hu32EVgxVJRtOVytOJPpzlMOWbt/J4iwpkRT4TDl1qgPH8uqLuqPt6K9Ugag/5jXn96krt9NR6GHgYkAuwGhBhBfWcBv6xd3xgsWZA1Udi+rBsaLiv/CSKWKOr72GbptbmRos7DE6m1mq//7eR9gFpA6c5rG+wrb8IC3n5z+MvV2dD+jwdDOkPQhnfU6+WVSldVfKmkya1Dqar+TUtRuFwTgaCVD+Zw1qgB+FX1GRr86UGzdreunxGACjyfB7wJtXW6AKALBR+WHX41fYZEGe+WA8aiZPYUCuai0B+x9ZVg1T2Hson+7bmwQ2mpYu0a+mO2CuRWQMUV11x9TYnpcl3x38ixU6dPQgdLkyUZgtKTds147XB93GFeYdJaxW4CVr5c2xmt/gy827MpnrSE18WqiCAOi6tuUPZ+SHtOV9dicDoqRW0r6O/6b1LWLhIDKCbO4kG/8zu3vLgGO3Z+FX3//q+fBVAZLaBqiAV7NkxaqYaIdUXY4Op1TXiIQOJqHWh/k6lUtyQle3uIGze/dXw3dqzPyOzb+W++TsYPbt06F4bzZKuuwcg8R1y6hIdlh2OY0HPGPszYS8CBJwS70ICKCmrV/ylrl2vF0/ke97X2quPmEZtjcO6UJ78OSfYkeSvA03wQzCaDB17mS5JWPJkIstjXf9SVXNVVVyh6DaQJtn2X65sIQRM7oM0jvbJzL5zVqkbhr+1s8w1Sh1hhvu6XqUvwESNyRVzePFtPBD1odxSPJ4JNSRRrl7cF+JZIbj57TVxX1I7v08qr//euzLrW5pQ2QUwTpcu1ISia7ZroGPk1eNU7mp1WrAnwdvySF4Eavzy04pevi89kber5DqFuokl2qaLBdOu0Zi3CTEvC81zwzXSLfZjbfRZhRST447XFCBu/75+PShvRF6xno52JbY3M7lTEhUBet/UzyH9miJyt/1m77PbfPt7Clg8OzRQFGPh7mgiWX8d2D3lz1M8gL27Yf16NSfMXE9D1RpfaUCqINCasonOmgTaSb8Xuihb5HJJuyriOxtCsaftdujdJYJBmQUOGLWjFdsB9l95kQ5pZ98JRWc4NBaxQSwC69awP1hUuhoyabyN4CO39FABHPIWpto4vFejP2rNaucnCpHoISSH3bXH9JXZOMaG63WQxUS7e7CW77kgQ3owrq/YhDPjIkoaIKbAuImHOEZcl4cOsCjZzWmOsRQKqED4sO5xzQhXCEDOmEkC0/l6D2Hus559v9sMZDZaNj02HVrvzDqTbZhmsAGXczBqh8a6PtaT184Q1SZCsYlCoYsXObXEODc7a0D6twmvFy6Dd1ZC1i6nNlQ0s3+JaRVbYfm3IRVx1R1EKKBcrtOg+dGV15zC3UTjbhZm5jbyqULSgJ63tus2uKZsoUlRerT8PzkC0QlbZoamu87Lub9DG7ftZkJXjSdUmcITQ4kEuABlKT++DtXtoBeN4ItPyoSs4/1pA1kaW1U0Bsph2qQhLVU41bLwQK9xY3kdI0G4uRAsabDPEt80fL/aR+S+ft/089xpvs8KUH+cdphLxYdnh9/kFihCe6g7n2uEx93heVD/kaeyxLKHBjMnGUkpmvS5LWkFo884VsSpXfr4GsdGWAJ8IS2SEqFD/gpUW1vbsrAFHg8j3BaGrKLPH39qlBVZfX5NAfFTiaN25YwYHQekrCgGoAcmQEUoHYNUkmXWd62OCjCud6I+9/vQk19XcPCGzYFX2SXe1i5LUqgd/YBAf9WC/2UG6CLosjROzdgn0P8PDBXHJOmahS0Ag5NsBLjyVHtcxOdsgiqzrt1Up5kmfpIubrBV824AmYAExJU8o0f3yqVVNL2LVCLt3cx4K47QDkQkyBFQE4KiS+nwxLvBStMIaFKJGVTm6yNnWp6hyo3Nzae0M+0HrgVrdpXXNAbgSpcPbtCLLK6zJEoOabNN/uce3/Q44ZsRhwXk3o4LwftzjN88vIULIFiD1IeOuu6BURq2kM8h8c8zr3DIP+sMoJlayQsi8IubQ79KRjX9AczylN5jyHiidrErQUSB9tQMDAImq9M1sM9IM1rYAJFqlm+5DO8CA1ZHHk0JTnCcmIOQq7ZBrh+p5BM3rUHWFsFnZS9yWA9BHTXSjcfGWBchZg4icNVFw2GfgFvR+j+NYKigX7WZ6caQ419W+r0trfv0D3EdYh2/dD2h2vk1oAbV3Fr0vT8KWg/4wXpwbpIWIOFnHEspF9wMm+L344SOWBVa/nqK23LpfCmlFKYr+6HU9Zdeva+wvSyrqoPy36l2+iwaXmkhy6+L5oeH3FkZd4/Gpx7ui8J3HecA+zrhLI27SiD1PSFTAEPSccSkJ350PGOeE0/OAOocGw2mV5qw8JB1Fs9qXPoM1CCiNU2U8alr3QbXAYRUosVOUzM7NxnWfA0tHoEnfzAuQF4KQNJGtltRhExxtAiY/xMSKUbXTA6Z7CsA0K2fcl32a1465QSslMOCdytH45SIW61SQHSOy61XIZ1EfRtCkDJ5IpLihYphPqmLjoQAqsc0gd27kCun156BIhdoFkEQ1k9m7DBXhUpSXyQofqzvl+IZJBVZqtKASQCFp3dumKtlrQB5Pqqq5Vd8X46fDKSZWoCToWKuGvvFRNRt0D+Wi42qYgf0A6YybL4LaBe0cW6KscEij3ZAVeE3llAJashBGDygZpw87jGPCv8kBvxpe4ZBm3HcX9Jzxun9GoqIq+cJq7zFjynF9FnkV/2AzB+98fzxjsqn0BhUfcZ6eQws9KS29BY7VgqrBk1L7ZQLQV1CqquhclMpQLkGFeWa0sUJ5WM9pkCYUTUU9WLhgZ7P7+rUTRA090uw8JeRP75D3SdVTDbVTU9AkYMygpaDuu9al9X0UHyZVEBbRgs68gE8XRRfcH1D2hj6wsVbFIfdLteRWC/NSCJQtGOxsz5kwZulVpImzIJ702i63Ccte6VNh0g5n7q2IY8WcdBLs3gjyjnB5pef/+TN9zulZu1x+L2EW7L+pyo0XgINOUqgxWNIWVpQQEcBRE287Y6hUHf8TSKHbc4FERnHR0EtuY+lUUtgTZ6NumM6A8+Y9gK4bLjYEiGey7qvZed/h6dKjT1l56PtHMAmqxSxfn25xWRJuhxGf7p/wvPQY54Rs80clks3YhnZGz2gdXED50d2zjkqZb2hNAipaMb7sjMPKm/3ghckI1N4C+VhBG/Jxdb/eKT9RjTQq/P+jAtKWwlKTtCqlKtxqxxGso3B27yqGtzP4+Yw6n5udx4t1zoNCi+dbRUr0760QMngBllvDKZ1Vp2B8RViOet/ptHJbvdPn/mr4OiI9qU3EDBx+r+u03Kxqus5bjmegZsJyFJSd+m22GDIZdP/0YwE+mYC3Pfrv9KG0RNkLboQm8rT/RmPF559at9v8WBgJ3ZNe6+UTakJKVHVk2c1vjVoQgOVGRyq6EjDPglQrhjeumaG5RHeq4FEd5OHrgLJjPH8RUDrC/htB97eCZUcYXzuNAq0goQry0pADea+FkuUoyIcKZMZvv34JDoJfpVdgFiRTV/735XN8c7nFEBfcJd3Ev3p4jQ/nHS7nDvXZCnVH5Ud1yZBXp4Ddt4y8A6bXroGhviDvCPmohQfnaou5uuENofsgeP4Zo/9JRhXCfOq0gWjrzzOB3kdFLNwrD3u/n9GnBR/qATIyyr7g5RcPSKHi3cMBeQ7gpOrR04cB+98nfT4/Lwi7gt1+QgoFD497jHVAmID+La2TFQDQOyjcf2b8Dv/h15+e5G65OEBLzNosTJPj1+6kBTwR+nOD1YYGJ/q4bAYL8Mv6Pd4tDl5tN/l+72j6YQvRSnto8WMLViis1X39h021SNaAXf+mVi31zt/21WYzWkJSbWyArw1lUTGYev2+6w/ZFAmMnwuHN1/9HlZu27a7u70sS3Sdg3l9T2gJD88EVD2ASwiYolZIBcCcI6oAadPprd4REFwtwbaj5T9bq6/237AN5Ndj612MZ1GTBSwdVkVCg3D6HyQBhbXjpIOoxXg9AiagQh2xJxOemOjvr9/bxFC8A2BO52q0k//Zvpi08l+gv2w8LcXyul2G77/POvzrom1s2d9ntiwG79W1ras91Lp297fvb9+xTTT/+Kt1D2mtGlcfQyNW3cMKLarNngTriB9q79dZh5vO83b9torrAFAKpFwLY13dx0f+ZHvQt06JJx2boODK1iuaIixmRo4Bp6lDIFEIsr0euj16XjCJwtxyZeSif0sha5teX4/alKwjVOrmu+E+Yr2ukqhBggC1bxe5aAlB4yqanWy5JsGSyWjPRSyhj+vzuXJJtD5f2fybd8E08dwkv+5f2w0ItN20MVj6fpLQBMQCwwV5Gh91M4+0vdjWc/Osm2ot1GY8qN0KR3lHl/w6zK62Tcj2ngZp/r4NrR1ZtC44g1qRU8SFwLTxQrKKGfk1aFdLrj9925WGf8dHD8SvfbOeLiAI2Od6t8/fz4SPV5EcpbS18UXtBzOjcsBlUmNzO9/HGYc4oTJhoYCA2kZN6FfpJmq2vCmYbPdU6+5tuo5XnSD/uVEjGo+O0ebd6lgVP6stKSC0JEBHGW32hSUQzVeTfelH/vvjZ938RPvvH4grrHteeh0BhGzFJVjcUmsrYrQkj9YYoj3jbWF9i7xqBRqsPs01R6r9fga4Vu2wil4zbe3f97Lfm92zZBUs3NpUdXQHr9eoha61G+hw0xX2uSJgVCDOz/fr/eX7pcIQasZ/BtDuse2vvHLnyak8G3V+GEy37bW8XVO77WJ2gtXHNuG/mVFIMFNCKYzAgsc0NFRCFcJcAqYcUEyMx/9dBFC1aDMlu9+GxvGt6k0PH/eE9Tk4YqYV4MPG3xKgTRQ0GOZqHqtDbsg0FwQy0c72zDdn2hbp8z00mu89QAsFrtOxeSmiBa34UwYBjCe57VgKA3Q8QIa+xWN6b7YO5hv8+2rbj2jznIW18RQnsSR8RUuqL6VWTHTb8aIBJS0IQQCJFTFW5ChXe9xjNEcGeldap1EoR7TsK3BmBKcYeSe87UVbXwHiqHZaeueqrzGrrzcbJ91RVmTiWQr/FogVSD05DrM+y3afFnv7+9u6+7P2omUhRXWcIwoLaq9Q9NoRUip4GnvMJWCIGTgADGmaCmLK+GJFHAQxcCg3pOVWnLQ1pDx22Ri/+L4rOgKKF0IuNmbO1Pfh8YOspsmpGF9+wS5lPHjcwoL73YjEBc9jj1oZzBXcvsfWu+r+jFyx7xacu4x5EJCswppbemmYoBTXf8TrTxeeur9b4T6e4G4DmTkbvIxWbqoHyC4cExnoO/goBgIUFkOk/K19D1Wl9I5sBqb1+3Qj2JByF6wRaYF/NZXkcM6Nb+WQBRKtml5e6rXEi3M3N5XiCKCaqle/BrGclL+iioAuZrXyGDkrH5AcimdQKBQBLzZmaOiA3hR7rdO97eKCyMZ6LKBdh7KzUUsWeNXdhrNWnJ+hBywvYkGG/X6gxndtM6nOAbIwLpeIry5JA+BF1znuMmIqeAoVb/iAeYmohssPT6q2178jDG/lqnLfDmPbOx6QCQPzkdv4hDKgOfWalF/WDoiPSeWFICVcJx7utKJCL5hNvMM4A55IaxdenbGwfzdh2et1pUcT7hC0DaWjgrYe1uC1zNrh6gyp4DBOD5SA9nutSGFKm1fKtN7dNfEOxKAwRgDbUVK+rzx55vOsxaEhrR23TbLQihwE62iqAqQkT4r0Z7m/RjM491n5PxvYNtTx6SxkakFJmLST3iCita4qpB8F/ldwe9Yh7U2cClgTYLN3afBOvzd9tt4odmSGzqIkVGFIAUJYv68mdW79dwG1C3i6RJwOA1KfsR9mxFDx29MLBKoKxybB4zRgzgG1EjhVhd2N7sk3Pq2iHbZa2KK1K+vIRwuMXdzEofgSVWWwRq30SxSgq4i7rPFlIT1QAHX+LlhDhLInVagENchR60B2m+AI63c1hENFU3h2hAUvomNVNnBl6jpQGlSMJ0XtvvozMbttz7hYVx1Q2+6MH96SpDUBuBq7xaxdz2lp50C1omU8qY5B3Xdq72PG1SifELRw2oTG1uBRBWw0YXSenz8vITS+4XJQu9d56eoPalI0iHbJ1s7xer6422G1ZSFdG7s/Ppui/aDXjSVfd3RjAI77tia0FJ0qkILy7AWgLEjPGZQr8iGi7MJVkEu29zgDKIJ4ZnRPhJyVnlEzYSRBzoyn5x3+IHeIseDru1vsoo6dAICnucfz2GOaI2QKa/BiBcs4fhQob+DLLRiUjZ8PpvRqMM0ybCgmLC1YbvsiCLArClssrGfKYiOMFoW+VRCyANSv97/1SXFUn+52rsGxHf1mE1cJVK3YjspCiuC5ID0TwvOM8OFZ7f1ufwVvplzBNlqn6Q70QRWvs/Jv0UXUu337Hh4X5JtehS6rfgbY544C6cnQTlMGn2fUPiH/aI/SMXiqFh+ogrUEYHrpZzzQPYvNQteiGFW189wTJAgWQzGVzsaSWZzjHHKfR+xaAPN9NPSCXqfvK6o6jYLHjOXFgGJcXswAYxNjQde7Jgaq+oZwzlc/9/nDbksQU3xOBExrbFL7jZ+hVRQJpBzM0qvYYBkYuQvIQTCdOnx43CPEgv0wI7BgygG1Mt6fd3iaOhWeunQoWYN+9wlsmgXLzXWMkHeEbDx49995vxbESLRDWXY2OihpgYT2Gi8xSTOXkm2+6SmCZgZF0fmhQqBzaAgyL3bWpNQgts4VmasJmfQIrYaeMFcE6PWOLwIgHcLzEXWOwO/NHIMmK+lSsRwDqvFfw6jKysM7FVGabwIu/7tfIu9UGMm7nvFincxBYwBZcFUAKXsxsSW2rqytoxgkeVj9KYkKQPGinwsKmF4Ipk8K6kA4k37G8G0AfX1AMLExqgSe7LpNBG85ANMrQd4J5JVBTx4TwlkXpfTA8qKA72eUp4TX/3XA/k3B408jxtfqp+YjG0TX4MYT2ui/+S6oPow99+5JlHtdBdPnN6iJmsbP/rsCfAc8/STi4S9NrMoKd/GiucB8a8rCMyGeeYXDCzB8p7Dm2pldDYLpE4J0FXNmzCyQc0R4ZpR9xdNPOxw6PSd3/YJaCYsXIioBhbCMA3JVbYPpXp8FLYQwE+JJBe+WI6Hs1nymKXeT2thyo89z/rtb7diP+h36vIHaV8hQQX3B3e0FQ7fgk/0Jxzjh2w9H0ImwUMS70x4pFoVTC7A8d1hmBs+M+c4KnTNjeexxJujUly5jeTlhmQNqjKrJY1l1OGuHvoybA+GPvP7kJFd2A0BGotl2poAGWUStqiicojo8nxHbfp8VRpIBqibW5DA3g+o6FJeqgM8LkKuqF3oiYU6FR0uqLeB2cRoqBj8TgHIApbAG6L0ZMxss0/gKLue/Tdy8gqXXozDXWsk6ymhJLpM08Qet8ta2PiR1HRdk169d74338HURWSGfMYCdH+R8OINt6tgLraY5hKapu87VFEv1Tw0mox9UyEAKUIsG96gAz7pRlYZJWKx7UYtuICoKHwijzv7rnitKv8IyV2imPRQyW8Aq6JX3a6JNovDkclOUtB4EHAS1EMR5kdmzYYAqNWiQsCYMVEiTBIPGAevBIdUPNa2y1aTJb+0AWALQxsOQOfFtAgtcIwm2yakfysU6Yp6Qbn9mImwkgqsRWx//cbv34Ni/c5tI16LwUF4DhxV1YHvG959zG129FV5RpLYOWxitr9mWt0IVqJVasQAwm/fursB4t7ju4H78+rgTuFHl3dr8tuvi3T19ftKSmZYoOAeZqsI5i0IAq9MOiJCe9cCuIaAIMC2WxLLOmCMSDCmji1nnP1skzayfWTf2rAsE67ZgvR7Y73jgtvn9JoLFQO3FoG5Vk9u+glNB6jMOuwm5BJzP/bqE4o9UINUULoMxRIyb7b6q2LNsnLdOUDpHWayBo66bP1vRzbEtqgTWAmMwhELjTWPtxDKvnS4iECsCwecv6+zMTYHoI7tQ34QmwiZdVL5fVjEJSVqY0PEtpV0fVfXV1c8DXgNyqtu1p9bZ8vt1f66Jrq1FVT9ddpqkcQZwUZv0vSUETWpb4i6rnXoSnTWpVfV8LQpQqes+dpu1wu1apNzwbsUS2KWApgKyyQENlSJA8IJP1vfqeDz7/5Pee+mCusqFgYlRkuBdVGEqReUAUw6Y54i8xObPt120FoBhtXMSGG8fjcbsPt59RjbFzHKsEJJ1fYYCihV1DsDIQBCEXpOB5cItyabFkDgMnbEodNVZ8TOYKoCzFmkA63i7D5PVzuUHkBjNJAOBbb15zsA4rdSQLYpBViG/1pFx5WU71yQF5IMWn8PzbPPpgdo5HFcvSznKhBArAjSppNNF54PTQRM6Swa4VGABCrMK4ASbGDBrB4na6Li6dlojNUiqisrogwobNXZXOHbfr9B9RhgFoa7FOkBjKZ4WAANqIkXLBlJNjq0Nux0EAgrAHq+4T3C/YMgI78i0IpQnud7N9LpE0uQd0JEtqJqwQTQuqIZgyFNATvqMYqztSJmXiMuYIJVRMpvwHq2+2xL/YvSNMGpu0vQTNnZVBqAGVXilomvbxNN6jVn2xwnHYUIVQqmEpQScT5rk0qzcyHIU0FAgC4NPUQs71jHWjq4uAE/U9tn2vNmiGty0fVxc3tl4q7DZwKz+IlgRv0ZROQCDvKenjDBVPP75gMefE2ovWI4VJED3jhHGtZBUSVT4x1Ef0J+VvYoC5YEQiBq9oalib7q+nEVtZNYGQx4I6BTNsNjz3f+B0D0IpheE6ZX5HytK8Kz2Uu8Jy20F7hb8059+jaUG/O3ffAE+cSsg42bBX/3oG/zm3QsMD0fsf/OIy6sXGO18KN26L9QO0bjK2ahzpVffGOaK9JRREyu0ORByr+dY/yEjjAUPfx6RfzQpnc9mMZMwaAHqvoKPi8KKT1hRM6LQ4f7R4PFHbUTNdwxhjWcAID4GDN8RlhvC86sBIoTAOhN3zgGlK5CsM5FRCeHEOheXTCAKgKtjhxmm3g6j+0HXy+xdG49aKOCscGESNEhz7WCiUYJwXNB1GTfDhF1ccN+dcRsnDRMmQkjAOCcUcb+hezY+Ksek9oasyARURjkqYjRyxbCfkbuAuRCKdeYBjeU4Ezys+Q+9/nS48pK1q+V8w6IBb6vctSSgWNUztTlzPGnVeu26ShPxEe8KFAFfFvjcOk36FEYkRVSJFmhBvgfaMkRUVn5qC+y7YLCN9VCHJYPxrNWO3FNzrLCDw///ckNWTVTHEiZN8rTCrlUTF1PSDaMQbR9/0l7VID0iwOwnuP1tIjua4K+dAldfbrMbRXc+j9xgKiQAT6Xxlvzw8+SXs3JyeNGqXE2E8ZUgWwJDI6MNjSagFIUQ1Fkr7W2cSlYORbSRPC617sqbHlSK5W6lJ8y3ZIcFtXERpTfoX1VjD8eM1GUM3YIUC05jh8upt43uAas5WSIIVjgDSIN6QDemcjJtjhegPJyydsC0k2MdZhvH4ZuodB91GD/+/9vXtjPrXfgmzGHvGUzghGlN7rw4Y4GVd6ja2KiPE8WtPVjXK1hwsJ2lvEKdqCnttmSY0EZvXCW10R06Nn/rQRsWC2BFofdhNggPK2crTHVVQm4dvrXSL1GLSa1baF09siRJHOJt+4L8Xg1jRVlnaXt+1YJx28LKUdT/0M6ctu2EWYNgg/cKEcqkXYBlZoAFU1K+1NQVhFhRsgdDDJkZKIR4Uh5sOpHxjqQpvQoDYvDJRgnwl61x6f2PDq2XKAi3M0JQyA6RHlS7lDGzYIqxJeFEwDxF1MsmGal2AIXNHg8aqGmXdk3I1oQXK8THAoatwM0VRPwHihQS1B83CGYO7Tlu389zhiy0InfcFphUSZlo48d5g4YwPxVZR01vuqj1Zlivp3V5dM21sEdt7ctAWHa83jt50REo9pzyQDqrlQzlIWsi2ZKjAEx3qvoaTwVhzHotnXaC+JJVY84RDM5PBBrCpnVvfa97d9evn43CE7WLlnxUCZMWb0k/K1hxsv2M7BlCFZ/TMxvf1VSMzxs/AbW78ZCQIzd7I9IRcrWwImh9bqglOTWZvcx6JjuqaQuDd4SbCwWWQbSzNQhkn/VR2feFqHMbayyog42WYmuvt2z5yuQsaVMRFIdTS5A2RiXvaVXL9mTAA0cvahqUsNn5JnmtuwQyJFk5dKDuFRAZ+Zi0aBAZ3BSzsSa7VpiACwBaLBJI90EdUoPypSf3iwCqII61dbRqYmCXANzoOB6DLdZIpqZNbV55/6hqZ150L0xNaGrZr5BQ90NhROsKNThi9c9G2y8VhmpKhBSs8+aFokCou2j7uqB7REtSUQS1i5rUjxlh3Dy4lsSaryA7q8aiz2Qu4MjIB27Q8jIEg8hat8+UnzkTeJPQKT9Zk1HYub8cBctdhYCRc1hRMACkEmo1n5LVn/MCgz5TmxseRjs/LLQKk42hMQVlId1HXqD0gqYjyeJO45Y+LYhccVmiBvaF13m4fUUJilLAHBSZxgB8juhWQC1AuZIFSM96zY4E+h6EGd4ZNb2Tj+gSjVpTBOkkGN6ovxC2bt0htQLE/d8IpnvC4y/0OnlRW1JfoH40H/Szg82f7T4Q+nfRrtn0VHoVsKsRjePPi7S4pAYtLvoZSjYORnpCIQKVgHQWzHemIcM64aR6bFk3zafM+Ob5iGwoPy24aQKGS8C//7sfgZ8ilh1w+fENliMpv5noGulBG2rRJolXhKbF0IZIkI/8YenVr6QnQffrQQvMu008loD4xMDTgGg8cEBj4CoAH9X+aoem1xEupI2nfQVSRe0E+aD3Pb8dMMdeVbtDRc2s8XkQ8D6r3c+dNd0s4TftCYmE6QUhD4zpXvdPmIDu0SabHCukq1gy9Kx2eL/YdROwvKjg+xnH/YRPb54x5Yg3TwfUSvj9wx0CV8zPHeJeeddD1Hm/MiwohTF+6NA96LPNBzvOs57F8z5i2keMU8L83AGLoUYLkA8V0qvg1+EPAjlvish/5PWnw5WXBYiDjs1x/t3GwWHx38s6MxdAjQrb4jGDzqMGA34wR3XwZZcggRCfZxXzcPjnJogmO2yU87EJoklHT/g4Bj8gqA92Gm6SAutYpbO24Kd7blV9ztbtswN9udGvyDuFaMQzQd4Ydj3zOqKGlfvCpvpcIwNxDYLDnLU7kQtkXgCx2ZREa8Eg8NqFXlh3WS7rpgQA1spZ6wZ4tfSiMECfZScmYqKOrmp8aR2u5cBYbk0AwGawejW9eIV/CghPegpLAChrgts9Khx62W9gbrImUoAmF3kAphfrv4HWoMi7SnUQ3BxG3O1G3A8XHOOEL5/v8dWUUIlQZ088oV1b7xQIWoAkvVZW66TrVqMluUGQ7dmlD4z0ZIepQWB0dJG0g6N2Hu1u1lquIVpeBfZZga3b6qqpparIEgDZ9dfoBV8GEYVslqpQz6TQwY+7os51bImwrGI9SMHUmG2/kUBHu3jVfoVtaucLV0qCW+VfF4bx2X4RGvgirEUdPOjh6+qYDkFqPDIT0EKtbV9LqaCprN1uEb1PZhXacnVq58CFAOc+E2mXsAmYeAfZ1l2KqBpqEbBz7o2P6PORhdHm8S0HwrLQehgGwdIHLFGviTIDBYijjkhRZXcdvdU9fiSQ4rOWLWhsKG1C4zTlg0Kq6r4i3U1IXcYnNyf0IeOSE+YS0IWCfZox5oRL0uAoxYIYFOKDhRq3BqIBF9ioCQZTFhOv0jm6Zop272UQ0AJEqwwofcDvg6+C/1ag2L6Y2ygftgJL2x8VWrysAI0TOBdIlyBdWjtj0PngNTFcbEq1GlJ7TmBFYrQZ4oBCPG86NIV81pmjbCJBPhvdX8shYtmbSKDBzBWxQS1ILD2w3Aga10zUNsJMLeiugTDdM+YCHLIgPRZNInvWToR1rLzL3JTOS4XkAnL75GBFS0toJ4M0JyOt5qpdRNvv7dwzODZnQbhUpPcjEAjLrfLlfF6qz/HUWbG8zv0kMtiwBp3TMSkk1QonqcvYDxOWEK44W87fq4kQRGk7AFYVcEYrmvrLIcp5px1c9AX9YW4JtT7SikCCGCpiKMgl4DR2q3p5xdopB9ZiQzTXbogkSXpO+BmloznW4o2fBQrPlzZ6iJeKNtfZXnmfwKRF9HLToQzcCkZ+hvEiqyjVRgzNKUKoFZgXhQEuikCYX+9RBkZ6zoiPC2pkHSVUCeFS2/1JIJR91PmxcUXFKBphvRZeBP07pTbNLzose4brJJQemO411uJlfYbxrOL3kqR10yDW0SENVuMzaXh2XLvnqmBvxRTW8XQgFZUKFlOAlMtce4Umxw8j6Dxp82JYi7BtX8OKNaMW33nMkMQIY2zFpbyjde2rBbxFwEnAjsgIen/doybRKgIqOH/GyDaarS6sXVNekWdS9N+QSZPcrJDNRvdYbLwNNA4Aw2a4KvTbi9+1swJOryOBZGHQGIAgOB5G7PsZiVXD5DwnTFNSmLLPJ99ZBj0HHbcibgdAYReMVN+lwlVVx+I86pgZ8WLGZh+CVuG8eKkqrPrRS+1CWuy3+45bcpkHwvhaUXX3fyN48W/e4vKzOzz/LKH6OpzXJHC6I0yv3XfqvOHdt4L9dxWnzxgPf2ViaEdqtDGeqXUO/bx0zr5/LoUKYu0UCwdwZqRTBVVG6W0cmKktw+DW1ZSCkQkPjwdDe1EbNUVDAX1I2H/JCLPGgc+7iPkGTck4+LguPTq1ALrzbqcYXNuKBOafJfrZbgmvoPmO4UNFHAnTHeP0Uy3SiXFT+7eM4Z2OblyOayFD8w/7LOvSC6nYmkyEuRNg0Hm0y1Fj7+Hb2Pazd+bBQN0V7F7oGXN6jsAU1jE9thdqAKYXArrVTng5FvC7iP69TiW5/FQQjwuybNAMsJhh1ueVXl/wk1cf8NnuCX95/BZ/8/wpfv/7l6BzwJLt2QdD9Ow0we2i/hEhTPmI4Z3NJTY0Z3pSNezlJmBeIuZzQniXtMHwRC1Ol2NFPBPu/v6Cct4Iw/6R15/eyfWDHtBOzMcVbQv+hahxGV0YSiIDQ3fFs1IRDmoHkkQGdQnbQeoeVDU47zb5MMGrq3EwgAU8DIcRbUczfFwZ82S0wRiqHwLS/m7zaWX9fA8A2Dg1lOsVHEI/9PpaKVpJqMEALViizRzSbSfDg3tPfLZjJupGMEJkhXiSaJLts/eqQa2rzu5Kj2zBr1WnLTjOE6OGCJrY1KZphbEKWkDgIjwNytmgfbZpPxYn87U1KfkaBOh1EzAJcmWcc6dS6l3GMkeDrm2Cfe/sZkvOYZuSZIUXJYOK2f1ubWFb8fdn6NxF7QB+/8C4etlzIBvT0iDHgW2O4po4+MiFBnGkNajxZyWR125WIMgGJtdEbUQgG9vR52pjR7zKbh3cGnwkiXdqNxBOCy4aBN9l7BkKkTGBhBoBtgDJxwfUZHBgCyQdvgdA56VF6LW3YsDmev1VyvrfVeH437MR0UClfZYXCHwP+BgPE6ETpraFxcYptM4Te2Jv/KCzdUSKPsdSrcJu8MY2Gsju86obBLTOkQfVEqBQzk1130dIKMdcgK6i6xUWPcQFXVDnrwJABNn+XQnTHDEhoi6bdRO9Pp8FC+iBC/aRBVg5Z27ClsSRHT5+zc4n/vgl3ml3ETQLEFVExpK1XNvcYmIYMkZA0kFCgfRasBEEUBcbZ0+V4t0GNIEAAB9T0tSWIQ1xQ1kDXECRG7q+BlXecP2Aj/w4eSBoP3N+XVz/vUbfV4QqCsNvcC03z47aLGqHiQqTFpfMJoRtsd02AWyRO1czch2yCS2CbfnGiAzqlVjKi3LQeQt53thfG5kH/f86+52aPSg3Xzsu/BwgM6PGChgNpGRGnqLOO18IYXQKChrEllxHYrOebU+ZX2mzPZMAsYJj1aQ2qIBI5PX6XQTIbVwqq015dcED/03hqO2vTtbA+Idcs6zn0g++fNyPvcKYQcE7lXqNNZqKO8PoPfbviVWsUjTBKkNE6RlUu6vnLFE54TWqoCN1oXV1CbLGJB+d11shmu0eBdRf54Ne57LnNvN+a6PAxtbNRbYl5Y14j4cRPnpQ1qDaz0TvbnmBHjB7K+vnrA0CLaJSsv2+mWO+/bshGwIgvc3eFkWTteuvLny1JlXaQbSzyHyfJnjSkAQuoikClBh1L/Lmix2y7kmk+/W8nvdXQkhu24ka1HY9IwVgKBqiK0CnYjt3uxH7tCrUjykipYJSCJWUhygGl4bxztuL1ufiiZvzI8FO6dJrIYF2hsnNjlbEijVzeC6o2xnzEZhuWYsjFru1n7EXtwXjC8b55/cYXxqPfNkUVXdGL+v9XKTWCde4Wr/bC4WKkKOmYN0KGUZTYZuwIVa4qM+pPTPKun/ynls8VxMw3ykdL0xkIkvQwoUhtFCB9KxjZpYKFLHftfjeJ0cIA2RIrBoBcuoMzN4m62BPmtzqPGCfRc8tblKVfn0m2fjSQmjvjSej0ljsFEe0hk6Y0ZJbwBAEtvcw6zOrPRT19cyQS6fNm15AUeurbSSRkJ7/pmOTs4pEOeornBk4M3wcoY3UWH0orfcjDPCFkTkpffR2Ua2E0WiR1kTqU0GyGWbn0mEs0RoE1OIMhZUT8kw4HXtMS8R46VDngO60NgecZiMBKAGQXcXNfsQyR0VkztR8JC+EOqlPnW8TStooev6R15/Oyb2MoBp0hIqvW2BrEihHSXod/ePBMC2aFJd9Bxw6DX6iBkKl14Qrngt4qah9NDgPN5l9nlWdlWcT9LGEQJibKERNvH6fQXWWIzfBgxrWQ5QEbVQB6uoImlPPaA6nCV2YYySDgngAkC4q9hPG2mbnSWewtVK1I+UJOkPXBliFp0SUH7RR6d2qNuphEhRKtA2kloKt0ImLtgBAHSKqMHxyQw2EMugoif03Ff07ragsB01YeYIdmIw8rdBk2qwNoI4rjKKdvA3EQzljaNDupihXN8mUqcnyzYLXL5+12hNKEwDKVcd1vDie8TT2eHroWkBGBUAGZFZHG5/Xdagdo/aC0eTpw9mSgd4Te6zwi+zXrf+eTiqfnx4X/INJbq1q6y1JMy60C/R0cSMOlvRzfBQQ63P3SrgeaLpRedECUf0hOx8X7YSSfhYYZgcqxCFRO1w0LpAQsOxjqzoKGYzRDiKH2bQZxd0KU65W+a+dQVxklcF3iM18VH5u/6iHlV8DBdZZrrW2BvsWXuoQSlryteCUCOR0VlrD0GuRypMGEdAize5bEMLa2eXzDOU/doqWsGCKskI5hdXOxeCx2aveZ7v35DBtC9ajCTRUNDuLZzu0F7QgwQML/zsbx9z9SU0qNFF7G2I+FPT7Ga+P2sG97y/YhQUvk4o0fHl5gV8/v8RSGTkr7K48JdDMLbBqCa4hGQgKURbn9yaF+FWJGvQZjDNMtnc9YS+rGiTlH7Bxh5ZnC2ZzUS0AqM+jyVAohwF1SCq6ZYkmD2rvHvzWqGPC1L9pYFo6Vq7iLIjn0jrjimpQH+ZzoSUQqNcCp8+RVXiY2ryPIQEsnk1rorRFKwDa0fXKub+kE0sCGJz0M+JFP6MGApFgPjKEe8RzUb8AoHYBgHZpXWwOAKjWlUpjsOzGK94ms6WoD5sXyLIocqHrNFnoIioMsgmoT7fumtt3K2BWFXwBgO5Jfz8PrFwzExcLF0IYtdi13LBSOiwgC9WDfUL/Tv0fb+CNcVQfnQc9CMUKGsWCsBpcRE27CGGfEWNBDBXHYcK/ePkVbuOIU+lxKQmn3OFxHlClV6h01iQXZXN+kNFYZIVE5psKup9Rx4DwoDzGlgTaucvz2nVSTQFD+7SH7RmCvuLbE8KOVkE8EUifML4eQAyEsYDPC8ohYblJ2o20BG16EZEHwnQfQLVXGO1WqTUAoIDasXXji8YPHW+eo8YVPNerYgwsodRLUnrU5VUwFIJBQPOa/Pl7YPvT18OTM0kCDAUcDdZYCAVAPOubi3VP3c/HS0U82eisNqu66jknFsNVaffhAojKo1fqFC9Gmdokw36mOX2MChAu9SoRbhQ30WQvXvT8q5GUEsWCkqkhkpwTmZ60uFTOmyIVfbQecRWldBhuOplgZreh8JALT1mhslN7lF5RCrr9CIebEX/56jsMIeNld0bkgktJyDWgY+Obl4DzpIiF6TKAJgaPWlByUSZhpVwJgLqr4MOi0OopQFgwfqrFt/hMSCe9v1ZEsIKIxraKzuPHM3g6NTtf9oTxM+1k9m8Zx9+vCSZY9+9yV/BwIDz9QkfmhZGQTCCKBBhfAeNPFtDMSB+4Ifl4UZ873es1dO8trjKE3BrrAZfXDM7KP6UCE3HV83X/29gEGQGg7IDzp9xGJMmu4P6TJxAJPnw4oF4i+BwQT9r4Klk7xsffAN1jxeU1Y77jVZQxAfOd+ql00nWkqrEMO42n6GhJOl3vAZ4KJBAefrnD9MIRACowu9yofZVEiKMgnQXp2Sg05BS+67UIIo1fvHtXwbPg/EnAfKuf0T35CCKNw46/Zhy+qXj4BeP8TycIgGVSv6lURULtK/hGif/zJels3FFh6YMJw44vCE+/WMXqnHKlCbKKUFEFdt8wamBM//SCf/KTb/C7D/c4/eEGQhXYF3CquN9fcEwTsjB+d3mBb883IBvn6fHR8Jaw+7Ziumc8xB2WABx/FdB9MN0Go4R2HzSfGl8rsvPFZ4/4V5/9Gv+P8guM550my2bv8UTgrHHg+7+MqJcE/J/xH3z96Z1cQLstH3VnPuZ2qWNi6/RZBT/yyhu0bosHKg7NqJth5E0MJGoyKgvAH3/P1YFhFb8qILYEN3q1G01URpOzTedXNp/hr1Yplevf+/jn2yosAS4k4XA2D3a86nnF1fWXrSPZKKF1pqpVJoO+r3WaLXltMtteyaweKIkNeTd4BqF1/XwWIcmmujLrIcMzgTsNIFTwASsHyi+poEEfP+6At8qxvQ/8/Y4XMdCF0ir+1R2+EAIJAlm/YvuZa7EXbXQO0BIAHy8k9aO1lY/+/6bI0biK/1A3YAvpBNbntk2G2buNmlw2kRmoGIYqtTpiwSEq/hDV8dXALXDVQBZWEClXXy8f3xr571kn17m3hFXZ1/aUJ4pX3S4PBj7aA2II/23nt41NsHVo+zJYV4Y2f/wVNDhq/76BY8O64a2zuOV7QszuCQQrDNl+cr4ncl1FUdgPfwEFUrE0qI2HBSo+UrAWPMIGclxJdWccMletMrvItV2IuwIxJ2Jrhc0eCBpYISpvJtg4rsAVDAFDELnqnF6S1sX1kS7aNbV1bcq00tZUtt8RBBSrIhbs7W3lxWzautFXHdzNM/ze66OOJIloCVm8E7kJJP3523V7wVIhlWbL0WDuxiVUDpI+zFbZJ9JihydyBdZZ/v7lNTh+WP1gjdTsY9vF959fnQ1X92pCU/a72+XQc0vMti1ot1bK1Tpv1/Hj9bxC4ti/+RlZ6upbvCDmgohtf+iv+Izg5heAVnT0ggX7/HJD3YSqG7mJom0OJ9rYRlgUnuxc7YZe2kDcNQnVz6tbP2B/mATMghgKAuns6Z4zFsvGphJt/aBcyY3gFaD7z1FSYmsPs/GUChbjMX5veTfnoH/BlmvX1n7jw8mVwUPQNbf4hYsqO7tugN6urZ8pGa/+G8YVBcgcYkkbH5T0WtgLLrRNwqgVL5pGiBd7xJbFXUFcUSFN3doK9/4MeGNmANZrKBu/0m7efIp3OH39XMivbpA4bb0sqd7YYjs/NuJp7Z6IwIvBvDfxwhYyTv6cqoCYVrqHh0a5KvKM9LkoAsAtSNePKtSvE1qHzxM472SDgWqFwYY4s25u8TNu4xu+1ylvsQI1I2MSDCFjFxb0rIiFuUbMjq6w32mvJqy2Puvt8wABSBWxK8pYmqwI7gr859BiKH+r8lP1vY7G+p6mgt+f8Xlb1zjoH1QoHY5tbu3EOnu7bN7LWDeX+YGmKyhoZ6CLd17tQ1njBl9fLfhT89f+u27zxSiC1XQmwEp1CKzrswhBLkE7e1AEy1abweM4LXz63hGDKdMGiWjvj1BEGEnrPLs4oBZhqa0F8mq3jiDUApZ3axWh4NDeMGvRsM2zbrGXq6RXhJmbarSfqR7Lqq6An4W2Vz1escJ1NYi+VNICSaYfjGE/RpWqvo4myu3la8jAEBbl0lp3LHQFqctIYUVczjXissTWwd2OgLuyb9E8Ip0FY69ze10tWzZ7NYaKnjPCRo2/2ro5L9hFzeo/Mnv90zm5XQfqusZD9LmYZGqTDa5snVUBQMZBWY4RpSNE63w2Xg2A2mtHazkw8sBIl4r+fUYTP9gkN6hQLuDmusJUrEKj1fWy7zC+DK0SqrLphPkODaLrQS3ndREbzG3jCFWS38QwohqZsCaYNQqoIx1qPwzguaJ7P2qFfxOsydArVG1e1gMZALqk3d2tWI/BtSkbxM0O6CaCATQYoXe9qGpnzyvU1cZU8FwNlqfX7N3dHmZokbAYVKR7vJYcFzZlUgG6k0GyLWh2pdMr6EPW0Tyl0/WqPTDfm+R8pw9QBDjPqfG3mIBDN+OYZkwlYszWAdxl1BBAS1QH4huJ0XD98OcYYFVnwXJvB7dvwma464HXnkmDKdGV7QIAbdVmU1yfkR8oMSh0SxTm1rqsDMhOVVVrslEL7WA1oTImUOUrZIEGHCqeRF34XmDnwQFXUShUIORjQh4CxhfhqmNT4wq98n/XvYHmgJyjCgJ4YtAILRYkDfqIrUPnDskDgaDCIbxUhQB6B85cSxPFsk62QtVI+ejTrEWgaOtaqgY8y+ZGndflz2g/gPqkHbRStKI5LaommwKQNNF3KoF3RdKpIp09MNT7UC622mYZAH62Ao/bUjVFU9d6o82zwbp+eijaoeke1WDfCAIKGqBdloRSGUNYUEGYLvdgqng3HXBZEqYlohbWgMz4WXAIrcA4ioLaKzQJqYJNPCvGgpIDSojravmB7zP8JrR7UW620SWulJAr0HfKI98aHUN9bgyGvOH2fF2cjyqBoJ2/bPA4F5RZDro+ipZQ/k/eaeCWnlX9vQYClwCeCkKuDf0jBknXPWtQ6hgVvtmtgZjEFaHjCsHuuwHtaksQoAOkkiqFbkbc+GgVAOjO0oK20hM4syIWqgc/FbToCBnKdVVXTlGDlCLAXNZiDRGk1/FCytUXIEbVYogBsh+gqIQCOlsnzP0/ETAT0qyK/LXTiQNhqs3/epIbJi0cl44VIhgIxdE0lVAvBFSrmQnayIwwrfbNxrmfbbxEmLWr60nVslcIo4gV5sxEQqzoU8btMKHjgi/P94hc8aI7Y2c2/zz3eBp7RSosluglaeNHaiTAYHH5LgMMhH1uQll5p0qsbDB+5/jVqjatfGzbLwEoyYopMSrizM2cCLVPqLuoApjPGbQUpA8TwAS+LHreLgU8qx8v/ZpN8qIcvtJDR6tYsSXv1M67J9O/MNQUgBX+ayiJ2hPmu2QoorIG5lakdAV737OLccpr0vUvHVR0ia3rbXGLK1B3D9pNKs82BotXEZm80+J0erTOpgfZEVhuogXxalfhtKhompifnjO686wooZse0jForgjnjNpFLHe6ifo3F+WcRwbbuYdisYIVlSgLwlK1Azwr8q0cXJi0gHMFVdMWCeoGHCpaTL16eGO2bAnKfKv+nDJUiM+TLVKhmxrt3k8VODBGE+iKZ/Mb5tNdoJIKoT4FlJkhx4zQFZTK+PL5Hru4AAcgcsHvz/d4nAaMOeIyJ+QcMI8RNTPCMyvP0uLJlqhU0liIgXSY8fruGY+XAc8mNthGKVqSsB2LuO2Y5r2K7sl+gGwK4vEiSF+rHelZprzQ+V6v5fAHQfh7RTkuB0s8TEgsH3Qtwwgc/qZrXdGaBOPnBegq+i877L8WoBBC1Z+Pr/R34okQR+va7nSSh44QIkz3in7KO0G5qVp03qsC/OWUQDM1mg+E8N03Gqj3hxn744Tzh4R4Nij1XUVJguc/Y1wmU1cOJhZ2u45rarx1832KGiHM956Ia1zQv2McvyKDFittx/ng8aICXmGsGN6MqInx7p/vMb7UhlG3KbrqZsdmIot21qdXogUZCkhnRvdcsf+m4PRFh4e/0Dh9eKO2mPfAh18GlAFI3/gzUJ99+D2j+yB4+nlAvtcEl56jJeqCMhBOP644/djsZyQQVHirRu2Mdh8i4qiiWaUnPP6yot4U9Cnjd48vsJSAcDsjpYI/e/UOt92IuUScc4f34w7vn/cYTx36B1WRHr8owM2Cp/uI048ZdZ9x8/kTSmFMb+5AlfH8U4H87KKCts9q52EihAvjw+Me/27/Bc5TwnyrBbJ8UwAW9N9E9O9UvTtegPIDHPQfev3pnVwTSXJ+bDvxqgComnwyNw4FAFS2g9iUjDmT7uUNH0Orzgq/Wo6atPSt8rf5XX99r/LoAXMFTwtqF1v1tAmvsCZewJrk+nzbqxESrEazVqIAr8Y1OEyr/lE7aGD3QEUU5tdUQzVIQQFotmv3LkEMqmRaZBUuMj4y5U0RAbBA3qHQGhSRPweRJgAE4xJR4+mKcd2sUlSqcuRyRe0DatRMSGXnCekMdKdqyase2PFSES+1dQXbeCWhtiZhlpY0KB9OiwC1r9pttuB9KaEluQTg2At2cUEWxlK0MMKp6niXDbzHn0+NXgbcJK5iz8x+RlV5Gx93c7YVa+fjNDGpbZC/4YOuKsmb57adgWtjKLxTq11V0i5Wck4VtUqjVsGtGlpcERRgEwCRaAsKwKv9nmBrh6WghKjds96hVhvulj0bTUh9fwBOl9O9Ka3aGuwwKESQpKIQ2y4ENmuonWjtRF7Z8aZrJaDvQ2NFgFoABE1OiZqttr8bT91sWAQUFK5PLvgDgVCBjxHSaFS0AyTrXuVJb5bDJsCqjBpEIc1R4UJNaMPWJY4G27MEf/sz281aGIvK63TV1Suzsf+/FIXgz5YJj5JQQTgtHZbCKrOP1X7VQFaf6l0JdBXcFXAQsKk0h2BwSWoPdLWXqn5TYcrSUDNaJOKr7gpgPihtBKAALaqxQMBo6snbm/RnboWyBgG0JEtVLa3wdVF7LL0FEpP6JiFWuLiLO5GjfGhFRkBakaF1tzZwQy84tOboBnWgRQmyzpEF9S5id9X92ZwDjftr+zADXKp1O/Vv5KK88hgAGyGko5nq9RptVJYBtHPT1xvA6uO9YLzxQzTruhMNWlCraGPxYN03R/+g6j5x3QT3AesZZ+fg8tG5uTnXSqcJQhxrK2hKoNZpIQvSW9GHBMwVvY0weVoGMASHOOMYJq38l4Ccg1JPZuV5ualyJmzn6dJQwFEQUwazKjQjVoisYnoePHq3qHWnq6CwFfeY1jhl+woESazKpAB8xq1SHuyctZjDO67+HWwFriayaBDbMhgFYjSNQFqRIq5dQaR7ukbCsiOERZCeAF7qFaS5cczdH1hC7z6iDIJyaM4BzNTUVMOFlXYEGLoJK8fUAuVq8JMtbUcsJtIpBhXsXd3qrX3R2OQygQDUfULlADZ6lARusRuABtUnp9nQai9ub57g8nmGT8FAYt1juSoVpog2LZu9Udun6SzNlrV4qWuoCLQVHqrnH7UOe5htzqonJuKxnxug2RJ5l5KQ99oRrpVwstEop9JhhwWnpcPT2GMpAcsSUAqjmnAgzwSeSCHKnd24u2kGkCq6ruCYZoxLhM9ZxTbutK5t4ygaraBEF9YzWk9Zw3pegPjsayDtM4qNCTw8CYZ3xebscnse2oRSG+seCP2DJkHTHYAe4JsF+8OE8U1aYxIAiKSTBHaiHN3J7U2NViJBRFriWw4VOC4IqWIYdJb3hYEys3UtRUW+TgpTxWFGnxacoYUZpSYIwCoumg/QhkYh1H3FcDehFEIed6DKa3PMY3eLiUonTVuAZ0YevGNoBaqqSXocVeQrPczgX3+N0CXQP/mzpsFxpQth30FY405VFBZNYI0nPLwVdG9HXD5NmO/1e/bfaLHh8hlpslfI4Nma+CpMX7B7X3D+PGIRPcs0dlvRjHVXQfsMOUd0by0GNl2KeAK6RytiXoyqtq/obicbsahUypQKdv2ML/aPuIkjvh5vcZl2uMwJ0yVBLnEtuHQV++OEPGSUm4Chy/jkeMKYI77d3SoV4L7gz15/wGnu8D4dUKYAmRPCAixTxPtxh5yDNl1YKY0hVMh3UemRJgxH8+pH/tjrT+fkLll3m38SkSkDd+uhIgJaCsIJqF1AOUSruqsF5B2vo3qghpKPwQIhPUiWPXD+LIGzVuA4q1gPLxY4iGarzvFyrqIGSIPJ1Otnz3f63fmgmxgVCNAAxrtNPktVrIPBlmBJJdCi1agwW9XY2vTFRi+QqDgMZ72WsksKWfKXQwaJtGtSK+gyAbWsnEWipjjtHLVVXVlWyEp2vBptuI5VjTmpiAnNGekRcBVqYW4HmirvVT2cbP6fJzvpZFWrWefzUQY6i7ipoI04ANQJxBEABHFaD3eHYvEChbC9Y5QzYTmq4mzNjHmOEAHyrCf4vER86HaYc8A8JdRKqGPQCN5n+QWraGWbEQnjzgTo3LajjevwmOmogVf5w4DuyQ/2NTl2Tl+GBUXTDJmna2O3gJOqqCo20JIEFYWyZNcKATwVLaSk2CBuDpf3JMCTXDIRElUMFeW3RkKFHTwbARgyeJcegmQdduWzly1M2bpcxXhFLTmV9fsblGShVsF1LpxC9hiuZMoL2kgAh/W4GE/jtEcNTkC651tA//E6pgji/dp1hd7LKtBTbW25jVvS5yng86jdROOzt/cUaRxJ7ehfrxFYDwK2wozfgys3cl4DUQ0IDEprELkGvbKkkBdHn2hHsvQWVGcgPitHpcyM3AfkFDHvEkIsmHNAChXTElGEsCwReQk6vugUFaY0G//WhJ/0QFb7pqiwra7LGFJuMOg5B8zHhOJicZMFHIOhEyA6lmOx+/uhM8JROHNQGGIXW2Db/Jb9HoCGXKiRsNwG67Lon4bq8ACbLdmNphw8WbGR9PfYRmDUjpFvhzXJWLepJtKB1666WLJrvrq6ir3nl5uAo0F7HabnRR4oDJJnNL5yg/f695MGz8yeZFfNYgAQ4uqPp7zacgyK1Bnn9UwkggQdoyNh9RU0LmqnwYo+LrLo84h93xCB57wieYIWgkofIMStuBuWCpmM0w1uM9vrYmdT48GKJcFk0FtH6AiCwfEcmqo1PbUhHbFiPgAEPgVcaMC8S6imbp7t7zfnPQILcmHMOWKeVfCKsir8umCJkF5TONtM6NuKw35CFwv6mDGnjHNSxfGZBmSDVsYzAUVtowaB7OypGpzPqTnbJFeGfkUjBNIRV/4iQr7VQkLtuI2U4yyQor6zGIebLPlUhWANmIWB+Z5QdqGNXVM7ojWxMZsMJvLFBlPXIpGdrYb0WW6sa3uUqxFAAiA8m/1kTb7CTMBMQF3H5+k+3XR77VzmDHQPriQrbW6oxjDS1iYfO3C3dsGpCioPzc7J5ja7unJ6ykZvEN0DFY2nS0vRRPfYoSZGmIpqq4igDjqfu/ZBNVUcqSaC+LQYvS21rqSr9qZzXc/xYKgEltWfF0WUAQC+Ux/RPxpcdDKNBtaEeH1WOtpndpRKAYgBPgXkTOrP9xFPXPFw3iFwVTtNGZcpYX7ogbqK8YRZ+Z+1qh+mSg2R5hM8pjHha74BANy/fkaujMu51zNkr3NjlVqg7kcLPQSegHARdCcbMbk5c/NA6EYgnasq+x7UptKz7rXhbcHwZsR8c8By1PUKFyuyOCrA4rcadO/jQihfDTh1PfqzohniKOgfBLkH5hd61voEjjIoeksImiRDz0metThcxoAyBpweOjjqjqtyTdFXHSNzVjufeIcpDejfB8Szom/CWXVYZF90pM45gi8MHhnTt3ugAOmJVWfDazUW41KFcYl1XJSeQyrWFRYBnnVNvEC87BmXl4wwR/Sf/0LPvwzs/6C2o9zxjSuxc6bu9ewDAemB146yx2QwZNkxQ0YGVdbk81mreNV0EEon2tkk4Px5RN7//9j7k5jbmixLEFrbzE5z79e85m/cPcI9ugzPpggKBEoYgABl1YAhA1SMSmIINasxYpBSSTlnxgQxgSkDxAgJFYUKqlKVJJVUkWRGk+GRHu5/+97X3XtPY2abwdrbzrnf/3sQlBc18iM9vfe+7zbnmG0z23vttddOgADhL6kloIl13nEWyAVYQ6Ca+XPE3b/gvczvpMU20yf07boT51EWwfLcIx5ITQ6housylpzw7//57wMqGA8LhlQQg+Lt2xMe4xG1S9xrl4Dp0hM8NlB/Ldw78l3BbJnhTw8vuB8SbvoFT9OAx8d3kHOAXiK+fbzB+jhg/Jbsj7kOWLtKU7glS6OMQJl3MdVfcf36mdxlBuKwOapG69RDDw3BWiRw8XkbEH3TEW2zrFkeAT1Ka0NTI6nEjYYKbrZlMEdIBHGuCFEQnH4YeXh3z6T/5iGgjNFocQxqvX3Kcs8DgIajhvwogm4ZAW+p4nQ/CI1BLRMRJxq+N9luKnyZAUt0R1lBsYW0WX5YC2Ry6hn7zcllhubMTOyatzEUQTjPdDx3WUfxdiv2tx6GLRgw2nL7/5wp8w8eUBoDRMc2ZqiVIjJj12rpVID+pTaHhw29xCg8nq12KqoHBnSwXJlxueuaqh0DfsHwUZvgzzqQYlFyZO3kcwdUYFoi5r5jU+2Vi1y8tY4hkTUCtVcCnVaDkA82n8eCm7sJtQqWuYOEik/enDCmjJ99+CHCEhtlxR1YgSFxlmHVaYLOryTKPSCrpClSaIr33Oo5bFxQlbYfAoDUMikufJZvxP4NZhWtVjREd8ZJDwwACqwmSTj2UEW0zHyNO3riaDXttnGW3uz4qMjHagerjeOgzdFxIa944Vw5dQ3qQkdo2R9m57Gh8YqNDcDoEYrK9xcDb3a22GrMU7fV6e7asGy1PzsbFmk9R2VeKMw2DqhHA7aW3DJZlEwG56QAMZNupEM0u9+ya2GWrV3LTvGS2ca62T3MCV2pKlwGAg/xnOHKuSFHrMpak7AKuhcemAw0KbxS1oCSEh5LQAgVeUmkWXvv5xyQnsNW2wJfV1vQVUUhXcUwrLgZFtz3MzNooqT333aYu4ry3KFqBCoPNLdtKUD/rBCfw1eqs6gGTMQAkX7L5n5vgAv2KhfW+S83gU6U9aZF2NBt/3u9IRLN4GSrgQIEWG2/7ALKSEcgnTI2QT3sslwWMKjZ+ADS1DxW0e3vvYPPuTTH1TJYsJg1WGuRVvMj9poMuHgOnWdOkBSv82Kgi1oZ0ALQ0c6/XKCnM7sKxNhYItqljQGVrb2QCPTmYIGurfW1XAOZAAPnWYEQKPLYRegNS1riROGfGgRxLg2I3EAdKuz7WIixfBwkaDVgi1J1WNiaybNzrv2QJrNH2/7iWSAloawBT24mRaiLYOAkuoo0FJQ5ImXL4pvzS4ePGQsXMgyp4N3xgiHmTYn8cMZcEn4pinVOKDqwh2erITS/QShyE2djYsRgNAe7tzE2sIqBVeKzrRSayXcdKffGTgirIp7oXK4St3pCA1k8uGWfSw9GKeLTP9t+ZPuy1wmmE3D44DV35kd42Y+gUZeXO37uemuZmeLBE5BOwYAebT6KZM8Ycf7CQhAgLEC3aRJBiqJ/olaBA6/RWi5tHRJYBgN0CGulTagiOEBgAC0E9GVKRfcwtT2i+QhzIThzutCOwy2kT/SF1kJAYeyM4ecsKIIM6WVFepr4+fcJooLuUq2enCKDHFf2pY3GeHC/JK58jRQC942mn5ltTGfeP8s5COrHlaJz660F/lkQLDjVC3toFxPxWq2k5Pj5CZ/dnVCyCaTtmFKya/EEUaAI0oX+Zr4hg6csES91xPFmxk8/+RpVBf80/xB17VGPFUvgOkvfSqMpa2BGr7souhfu3ZK3ILccgPBCQaTyLraWUf0z18b49QXxywfEnxyRj6wnvRJedRZC1gZ0U6DIAlezeTkDw8eMNAac5oTQWZD7rMgr10IZKTBUe+93LAgJqFOkKNVz2HyooBSKTfTP0+T0YZYODA/8/Bq5t6sA6ZMVh8OCp3oEZrY4Sh9CO0N9PhqbIdLXOX5bERdguXEhTopK1YVgnphuRCiK6V3E+bfQPigswJs/qzh+ldn+5nbz88kYNVCoY8mOA0se/DZmocUc3e2CVZiNi6uaGKABXQdmm8PdihAU0w8F611A9yI4/oL078uPKhCA8BzImOoIdHTPgrd/OkGy4un3Rix3gukzYH5fEWehMKsAcWK5VAlAiIU5hlBxmjvgz24QJ8Hzb/dY3k24v5nwk7snqApO3YF7zyKoJ0sVK1AiGWoCQG4zVgHe353xw/EZQSpwA3wx3eM/+vO39C9PAWsYkB4Sxg82PkqxSigTk1IJKv4XF+RGp2fZxuJObFGIw8cAncmerRgkK6KS0lmjKbQaspJH2Vpv2AJ7nXFwimztQefXkDc6DwFajG5sYxCyvwfG1eefBocaf70Wbc6Q1+cCvC+vifC/G0Jsv3dBpu8v+KYDH3JtaKYs3Ii2DJ1Aum7L4gJAtjpjp2t6XWi1Hqy7ei8pldlFCwzUanMRQNTcRWwsWG1XtrqyGCFrRQSQJmlZ3qvAumijaHr/Y9K5r41NDJWm2I/RI41mVBfaCqkXVHKrl8AAzCTfSxaj4231SE7fDJZF16BQywY0m4hEsiRVdLFgRYQYJ/c895hXol4MRMwu8P1z9vpSz6iE3Yv32XlzxCUFVEnb78IeHd9/4GYv6uNoGS9XB/XgJqrNm4ELbIYuFBTxHosWADf6uGdpw+6zhZukVHDsXj2j32MT5/DDwbM+XssC+44IZogE19TWXIniq27Bra/PK/smQCO/ojfr1X7iVGgR1qj75wJogj6mdL21LRJoBwJHOxVcd1z9PsKqSL6HWOBEij8a/VgrmBkWtDpf/14CYeYcTWLiP5y/ooAUQSFFgMHTEtgb0etuXQTIamdD2ep63GZUTAk4AKKCWgOCKIaUEaDoY0YKFSlW5FhRrEcfgo/NzvQ8YI4+rrtfykbPUpiTmnXLKHqA20W4YAwzrnSQ62zjCKN22pm/Oc3bWi39FrS2rHV7jYCtkdi+xWupfc7KGNgH1uoiy6jtc9ujWAYCbs82ty3As59zP5fWymEvXuIlF65GzbZZ0ibG2+x4j2vxs7AqKfRmr+LdB9z29/bu5Q/tvtVEvupGXwbI7JHdWvDvKZsKKLUfKlDJ1gkA5MK6TYxxYy2s25xLG7dtL3WRK9qxByxmqz6eRREvQmCuCupCsCh7HblTA92RWwLKSyKbYN7ZuSGNexuRAqxLwuNlxM2w4FZmBFH0kb0WU6ooWZHHinxkv/iyVzJ1OxNjK00LsGxtXjRyfKjorU0Vm6VAFsAZkAjPeNtn7u35ip4I3yONLui+TdpszV8Tzbbcea5JdgJQMPE2BsPNj1m5oWti30yZw8ZaEDrtYd5EIsOwK3+wcW0gfvJzlC9oa8NrcSuo36G71kftc3YiomtpmXIfG8++bsXaVq4TEgIOlvWlTgjryetm16Z1QsDD69+5DyFKu0enpPP7vPRnRyf38pj2XGiAjvGNqSMxB3RntfNWd/PK+0hnbSVGmsVoqaSUUvzDvkOA88MBP587lKcenSkTw/a1FvBWIOQtkGTmXiF9ReozhiHj0K+oKsgaMfYrVJnN0p2ytIP9LcHitrkrGQIsEEyC5Y423T/avmX3XLuIcBgIeDz7BPoZoSg9acqlJ1V7ecP79ctBlfVGcPmU/aMpwMRzoybuz94blsEm59HbIsXJzlg732pPW1ajq2pXsdzba+xZg4l4ldH2qyJYn3u2RXvq2Afaz1chQMQSOsuGTwSYRFknux53+77tWw7KlrLr6iEEaF0LQCrPoMVYTFLQWohCxOIZ/vEyMNdDcEZNGQLWNyPBqZ8f0WUG2vP9xqoUB2E7tgmqqUIW9gnvXoDxo2JZBcsbvsfZdpwkP2/JRCIrh6BFvEhjO/i+GyCoU8CKHjkopsTs+PHZQI6VbYqezyP+ZO4xTR0wgiJpnW9y2vaty05zB1FNP5e77BAy7tKM9PkFl3Hge6wlYh7tPDJQwssUwkqAML4iWv6q69cXnhoHejKqpGR5xsXpnIZW17FDvu0hytYRABseM+NExG65Dbh8svXeA2wxFzsndTM+1iBwQuPCzAugWI/JsgHWp6rC5P0DlhRQBiDfVpS7QtnrS6C4ztsVqIJ0YQNiyUDKNGQXW+pegGBqaRvtxzbVxQyxbDRAryHzetf4NPGw3W9ELThPQL+jTKlCpnnLtqgChwH12EOmzB5UReIAAQAASURBVAxZKdbORoBpZkZgHKB3RyAKym1PkY4dJagdPOb4yrxApgUhs52HpgBZK9/fWfsVH/tq6H7VppyonbUPsPZPEljPFNaClOg9tXqmBEgNJvwA9I8ORMRWn+pZGq+tA7b5JlINQ3AdVdw2vzqy+bQfFLIq27EUwcvzyMbwQTF/UpFOAekiW8DiwQ3QMrayr+HKGQpSCiUY2LCbR1nJWGDmEeYIJBtnBvx1p/bcKHT2vZosoWetfRzRDFnQa2W9mm1UVCcMV85LQ/93NeFcI2rKgsai6AEUQZgj68H9kS2buweVwsq1h+p0nd3haLVuCUBdhbG/2aosGTKvRinuN1BGFUg9hdGmdQNqfC3sA2Cbh1YT44yFvmvZ3at6aIDrZc3bZ6YIhAPUqNMuioWdyjUESC9rc+plrdAhYnnTb5ke2G0Jxzy4zRh1OZSKcK4IhYBbTUBYLKDt0FTjy4HzvQkaoWUCgW2cWxChPoeAiJCK1FGpO2dSXm/TjCFmvOkuuJQOD9OB5rpG1DWgur6AO0WAtSJR1CFAcwbWndJXdHoy92j1bPuycmy9zl8EoYsmDMWesd1LQVwogIKjP9sGuHj7KphtrtbCodjeWWNAslYfHjyWw5YxcuaP1zJO703M7r7S6beMuK8JGHMhmiKjU5b3OBVgzJx5V3etDoIp+pfKDIlugQ4d0wDMBci0l2pZKV2itYPbxkmOBzSAB9jsvSpa32wvTakVWG3PL5WftVLPQYee+7Nntr1WclWkp+kKBAjCbG4opbWSWz45IEtEXCrSKTcQh88dnZUPr6X3PsYpwFTfveQisCQnW0uQSqqrJmYD8yFu4JpsDJv0LBge+XOCzD4D0hwZ18AQEehjj4clYn17wZAyhphxTAv6kHEcDhBRTAByn1BOEVLjli1T7okQ23s/fETZtVYpY0J3KQiXlQBl8eJLioc5YBJmD/YskIgCr28vu/sG0DJ2Klabm5i1KtbqxkGUdNGmNNqdOJfenxeg7WtPBlorKwHQGXVx/qQi3M8oLx3wIVjpEMhsehJSRAex/RPsQ28Brpdh5SOzmP0ToE7RLQb4WfvGMK1ABeohsXbZrs0GgP5lhpwmoO9QrVVk9ZaJxq6pKWzvvx/I3jsyKBjAQHnLvNLHaKUwxpRpCZKKnVK8i2Fyr80jyxhCcUbgzo/wY94YLWTj5cYgau3mDAQoHUGvwzc8M+Y3nIv1DsBIqrG8SDsLIYrwbQ/JPRwM2c+52zqz79sZp0GBoWI8Lnh/e8Zv3T4i14BzpnjXj+6fUFXwM3mPaR1RR2n25HaRLoI6cx+RXLbyBgDHLwvy58D0LuLwTcWbP5tQhoDLZ51lkRNEbxCnirufVbbGemcZzaOi3hTki2A5U6Bp+b0JsauQUCECTB9HpMeIfASWt6wDP35Jobo8kAK8vBFMP6iQTFGnkC14HLkO+hMD93JU1KQot7W1axJRhFHRf3JBCFYSpoLL7YjlHUWWxADK7hcdx/fMNca6X7Islh+uiMeM9bFHfIm4exB89o9fsN73+OK/OWC9Uxy+FAwPihpNGCoBl8+l+Z1QoH+mWFfpWZKgAZjfC+Z3Ef2jYniqbAX0cUEdIr79Lw2Y39o9nbD5D7qd9fNdwHLbI02KH/1fFfkgePpdwfSpIJ1Mtbkw/oAK1jlAs2B4DugfgZtfVtz92QnzpyPysUPtN6apKIBUUQfFehdZty78HduC7oANZ1QFIKyRQq+2L8RJcPyCsc/0eUAtAcuHHv03EdID+bMV2vH8QxZmZsw+X87GuAsKDAUxVFxKh0ME7sOEHx8+4t/42/8Yq0b8h1//Hn7+zVuUTHE0KBrLyIHndALufl5QL99TCvc916+fyW10tg09BrQ5iKyfkuv3qCOH3HlcYKfVwzXKwg5ZMWrKxqm34Kva5+wcfs/a8vc7p8kcRylC6lKRzaN3yuDuD8xXdlFGR3iuvstinX0y0xHNPfLbHG8PWF+NR6Nm7uiDshcu+b5x36H/rF989foAQy6lIZPt5g3ZvM4KVKtNZDsSiQGuFLrJqdv7rb4XVaAeIPShHWz+GhdyqAJmOoqyhmuxMfE1FrjgXiPjvvhkQKO1NRvZZ3H9fbYxCoAuVvRdRokBUw2WxbaDLilqL40mDAUl/wssuxRw1TbIM17VTk3LorzOqlAMSpuzDEirZXN5eRfMgNGfWqbD7N2f+8pE/JB8bTuC76yvPRq5ZbB2AbbuxJF097p9tsGcXdXdetiN9fX/uX4RhEGxZ1+FjhYnbneP/u/X9u1Ov79m/5697Yl8d0/Zf8b+O/bvL5alCbA9SJtj5aq9UgqQiep7IN/GQ7G9Zw8Y+S17PaMCddHWKkeC7XdGsQ3LNsYO3rQaUz+YHE0WmFo4WlbgtW0EKDopyBLZbzoVhKCopvBcE9ecLmh4JNTGUCnotX3YbtzVx6RurBUfy1ptPGsDg1yDIHSs3aoAxE+Yep1Qltdbm9thG0xs2UX1AEgazWyfsfXX83O2Q/s73yFozvz1e169xmx832Zrv140GHjZgtXdutwHs3D7+RW2urdpP0DMtuX13rL/jN0625+/3r5LRSi4Z3R7WfnAzc7zJlDlmS2vQ9+v/z1Y2+rMlHuvO31skcEXFggitN2TB60cP2Yd4kUbOLRvH2KEhi0xpqCztApK2cYzgNT8MWWUKshdpGbDEqjREDbKOewz29Dt93MBM4jLDuCxOZHKMh1XF25ZQbtXigKiMS+2Nivbn9a2q14Dto0hYBlcP/sZkNtZu/d5KhkfV5nx/X5u50Y7R2Ubdwe2ZMc82Pyi3bqK1z7L3pbhNeh5Vy5jNqiV/aAlBAKNYfd7+yxtN2b/N8AbePU9ML8jCsR6hjR/w77X10VjRcnus329B7dz+gGNBbS/rvwLbUB3WFl+ULHNRcgMrJgVZPar7dUVW4ZbaN8t+ZF256Zu9uFJm8Y8a1utIIWKMa5YJGGyexoj7bPvMqa+QrPZuYH7Xpu72eD1uen34L41x30bh3LgRqqmk0DmlrE9FmPU7VvMtHETgvb+jMJ6UaiY+rMzEXZ7x6u5YhmUNF+lDMrsrSiQA9QQ9YoKGVkWc9UKy/2V79vH7fm4j+vVXuPjUPtoCTZmrV2XoAGqNs++3Hy8XX9EMoDkgD/noM239Ym/2hf8FsLOdvzfNldxrtQTihyPOF8Dr3EBZIpA2kTEaEvOwLq2u7ACmEir3otnOgjTOkTY8znrNVTZwov9mQl+5nJh3XOc+EYJCjEwDQCQN3A6q+0jQRE6aof88nyP98MZn/XPGCQ3Oz92C0IgE612aElN+Fr27ScrtLye8O+/fv0gNwjRbEf4jRIkKREV7TtraaNI53Wji2BbbF6rK0+8+dIJpndWg1u42cTZ6ikEWA+CHIHhsbL58v4Mamgo2oEelwpoRJy4CA9fCOq3iY2w77hpdl+nxpdP502JtEZB56ImRpuDOViU8rfvUrXeWEbLrUKREp90dx5fbUJO32SGKjAQBDMEDZFzmvKaEZ4tSDZRqbaBDz1wHKF+4AjpIgHWbD4FyCUjnKgu1IQ2XNjH6aGqCOel3WPtI5UPF6Kt3gIHifUvKIpQchNh4Zt4T0S8GTA7xbZTaZQWz8oUy+D6LuUBTChbzV4TaurRMvRSuMF4rQIAIHPzDaJ4M0z4gzffokLw5fkOl7XD1x/uoLlHvgHORt2NFxd0cOpNwDFFYOdcEemvpM9oBXIGJMAFYFpAt+Y2fhoCKVY3HVQC6+WWgtoJomX6ljtcq1FWR7CJRrfDqWVXLJAwumEd9pQW2m20Ru4UzhEDO8IG8Bj1xVuJOA3fLz909n3IfEMuB6GeyBlIVhZQDsyKpksBqqIOHemsDowA0BTReiIumVlB763tu2nOFGHr+8ZqaFRmp4NnEy4JArWFKA4ceXsnr3X0VjciLA/IZXuoLAhG3VfLGDN7SIpo97TYs1G1OqzWMkZ39t0yyXx/KLWJmITFlEpNCKx2pj3gh6UC8mJTbjR1n/+rS+ksEKEW1FVQ7qSpKS81IgXWKwapuOtI65zWhHPhel36CFnoVUWjM+5r7mTvFHnrrBAg5wnp+cwx6hIQO1NvZ+1deLlw7yhqSu2cm7AmxIV1a7MFpWG1YMmcMdczkAJ0F6Pc+p6bBKWjExdUd86ZssbH9oJ0BqrZeYZleYq0jJqfC6VXAqkm2pJO/KzWSzoBqykJO8C63loQIBFdJxQBOZVrkBO+JjNg5SdXGdldCQ9qhczr9jOATpzXstvram8tiFSB1fQTsKMpW4YbMdK+gzE7cgFBOCriqg5m0xbIqSJe2BYqXjLChUI+pWfmKU5lR00V7i/2/3yIKKO1MyuKeKk4XqrRwW1y3iVqCExs17UfI1LjrTZy2UDjDQhEUyXeB2lxFtQaUe4DklSkUElZltIyXn/58gYf9Yj1Blgza8L6J9qCM1pKHzDc3yEsEfjWbKkqwvMF+uEj5O4O9d0t1//Cdjn9Vyf0H4ylZKJLHpiL0YvTmbVieWBLlNaqLcAEjJx9Y88zUWSqOzHTFfIW4GZ7/v6FmcyuKNLFfi4RdbCMeAeELMhPHSQL8kFbECWVZ+H0iWyBRIWVFtl5bgrn3bcc+3wkDXXbAMiw0k6QD8zApFNGOK+oY0Idd0mLQLZYPaQGakpVBBNfq10ErOwp5Ezb6gL1H+bS9rsyJsQpIzycuO+8ObK+NloGOGvbFp2BsN51KGNAnCu6k31f5BncWHy/CghVMBvdBdQ+olov7zgVhKLUi3EhVEVrhQ4Fho/63fI3E9ljqcw2jr63eHZ5H5DVDsje3mwKmKTH89ij3tLW3w9nBKkYQkGQiulNhz4VPJ1GLDIizAH9I7OitSNdOB8DtQBky3CVQTB+rIhfUrn79FvDVdD19DuJrIZnCkdJZR2tmvKuWu9oiqsK1m961MCzKK6CfnZfg7ZXBsXD31EgKLrHwOylAP2H0J5bEzON3bMFXYFZ3ePvPWHsMr79s3cYvo27Z1Cc3ye0fpcA+i87HL5gHer0WUVNWw16egmI3q6pZ8IhPCXUl4jhY0T3wrX0y//W0RhF1VgorPXMN6RXhwUYv+F8N+bahWMUV6XuRg9MnwrykSrUaarIY8D584EMrGLjKGgaQyyD4JkeCjA8VHQnguqXTxJbK91wLMvCiepeLN45CVliCcgj7/P8w4AyHJsGi9uqFODwlWD8OpE9Yp0VWvcXYKuBNiA9ncxWK/fIfBSs9/zc+R0TQsO3wPCh32qbi0CXgOLAZBV0jxHDBxNZHcnkqT+ZcH97wcOHWzz98TvIjyb80R/9Au/TCx7LEVPt0IeCm8OCE4B1DTzPV/qqbAeoSCZsWRty8Vdfv36QC6BlubKhx4G1IOLOq2dO1gIJVPBtkC1AZ1gUQSu6qoidYD0mOA/b1c3SXElBudnqElx0oMnAOwqnCoUjf9r47/BWCMFFeriLpYurx5qztVKQIQRFqXYAH3RTFBYu1toBYgEw+2Fi82R9M3m92TakW7bg0sWzDOlr42qvb4jknkYIbDTOFDcap2dwdbdD23c2EZOSdodVuLpHaQq1tdGPXRyCp7yhmdbeRWplzaIFhfusB6yOV6y+qdqtaOYLpReo7N6nmxcZjD7ltF2NglUEKlQf5hjiijLGBIttDLHg8/EZAJU+X+KAj90RSyBiWHsL+jS0FgHBbAlxV1D4+vKsbVAGwu50QpqdOwqOKkBJbDi+VkPQeCLWZAIi1i6g1YTY5kd1SG21RI5QY+f4X1Gh7P3eu7L1DC4cv9Yfc5/pdTRvb56OkO6debEfpevvVKHTKnYISJAGgIgo4GPh2SDPgO7YA163q7Ve27dlv6/Gvb0PQMQ1u8Dft+tXumW6mL3SwEBARIyKzXpKd6zFvkdMNEy6SJTS9xGb+83GlfWYttZCtWyE2t+F67HUcJ1VAprCtwd115OAjbnQEGTLmKvsHktQzfiZ4WLrrS6yxRDE2nxJYH1rlisCyHeuPRi3ZujlwpKIvuO4Rm1ZRlkzvK0T7ZxrPSbriW51xxs92Fgd0bIGpirrdYli4yGRztWW0mtv519+rFggG1YKmOwzBK64TmG33V6saIKA/jmNEl43U/IArPbUCBBz8nQ/9zD785Y/MQC9BaSrtoCW2ZCd/WJnl27LyYKHABtnYb/oHROnsQ+AjdofQNaN2623Hqp1t775YJIrqfWm1q87Q5Bs2Xpbv/t1t68rZW1yRVxrc4QAQArLhEIxsSe131lA0fQ1bG+RbAGjbuP8es/hXiioKvQP7JddKBiQgQh8m262+ty+AkK7a+2sfD/vOkhTJeO4oBToNENubqCRaRiZzb4nK/gaB6tZZnkAGQkUfwpZoQYerSvnpxrt1unurGe057EMOIN9AgG+J+wzXu6v2ERvQkomboUKhJnrQ719ngqzxpYB8rrn/TnRWpyogaViqtBxe03ptux+7c1POwNSCkTjrqZVbX0FSHLQxsAR3yc7liEFs72mcu/P6FRmVylfKcYpa2ljTjV1fz73IbezH8pzFQCi2ZSGxGXjDBgAV1ll+LibjTjDxsQFgwjn0V/nS1YJzHUXiqO6cryXYrxmR9UIlCB0Iyqu9g3ssrhiQUIuEVUFKZQW3A4hI4jitpuxHiIVyofemA9mAxZMUwxtBxrbGMULgQC97zC/4Xu8tWO+AZY70nM9yPXf+dlTk9G31015uXu2zLWB8Bke7Cv0fkUcCvI6st62uuI1NoG7zJ81ZfwIvDtecNvP+FDeGxBp45MNSE/awP50Yi/qTTxOodY/PhdpPooDagT1KSQVJwaHyztjOnVciFdttiI/IM4cj9Kxzj7YmKiayjWX/1Y7b5n15U5aKaXMlpxp5XhoVSEmto24VFQrpyyDM+NARWu3T9tTvLSPKu+sXZX769KJZmYXRZq1+Rrw+vqdnWpbH2ixT+sykDaMjD3BKXQWZ+4d663tMUV4dli8EWZB98SWUWTQk9nVpwKdIvoPAZe7DlEqOikoGjBbAiLFipQq1r6SrVlYHuN9vlunktdsrl9x/dpBrp5naA10TvsOcjS4wlVO18x2KNbrFbW2zC0PdvABdsIwtYvob+Iu9U7j8pZD/cl45UVbg/Ytu6ft8A3mkKqJ/3Rn3Xo2Jgucn1mz1T05is8i9LgyS8CH5F8te7hDTKI3nk9AEad8mAjNhUJTmgQ1RMih24IzEVyJuVigzy8yJ3OXBfNsa6u78t+vhQ5W8vq40MZ1f6CE1ZD6sb+ewC6xT6NvjLusWZg3ZVMGArLVMvY8gDzLqzGgjhFO5dzk0en8Rst0RPtZ7YK1EhHLsG8Hv6srYv8M5rDFhVSdmhTSAVBrSdLRMa5FsE4JD5cRS4noAwV5AGCMGbfHCU/We1erUN25ePN5bIJiKUL63fII0gRkNOctGNP90WkH9byaw0shsfQi0Cls45cCgIQQFYMJSbiz45uMVPtbnV64bVAEbOhkatqcOQgaPdTrQVlzwZ1UrP1Voy8VWGbP7MwCPd0d3k6rqdZbcC/K0KgjRs1rdq3WF9GzWbvsVVMJXzPHMUaj0wnkMNrpYcyCYNlwez1UKTpl89KAnGxrqbKG0bNpACispmrrg/uPWC9MWCAcLBPZxLICEX4YwBMd9PEA19eEaRCEJZsqa6SKc2HGQqv1mq5ASoLUbwDRFX0pCmLaMr5OZUPg++WRP1/uOCw6RZzDgBAqDt2KIIoUKgaYiINUPPQHXLoeJQce+tHYDmoUeYCKhZHP2e5lXoD+SKc+RWbV43XP3P3VMoVigZYFSbUL6OquXMHWs/ecdXosBTX0CsCJE9h+a7f+41Th7W1C5v5QegIEtTMwod0TUXhRQGfAnZWw7PQSPKCwwA2wA90O7Wh1UKUT4OBrIfIelmoCHAVynshWMqVv2xRaDbN2CaJk3TQas2VhYediY30AFpQWNDSwUYrFhATDts6qBasiGzPnNLU6XplZU6m7VnTxtDI7+2Zse7MUMkykVNQhbU6QBSLpUiAlGBCxC7TVsnaqGB4C4rLzOtQAaAXKIVjvUrTsecjbGnBqrTtcTsNj3Ti7Hny4HHHTLxgTn2mpDAi8x7qECiSFVmZExLIvrQ95zmSbuY3kCh0HhE8/gR4GeMubBhKMBzvzwkbZLwyey20PtT7kzDhXHL6lTdFBdTu3vXrxAGkH6sz1itKYZvo0bR+N0vZh9urefJywCHRiu6Tam22aQKCr44YV6J7RvGkVQG84JmuvmN/BACLAtQCgVr/4Jl0JN613HcohwUs7gLadN42O/d4YZjpO0Z7D3yCKVufte452AXmM0DhA0zsugbRbG/YZ1TtFmJsYl9pYBOWYLFtcN3uyczJdjI0wcg252F2cK/2WRk0V5DEieHcJA+K6c4ZO0oAIZ1k5KwUwhiHIMKw99540mZjVqhZ42znaS6tH7060k3IQaM/Wib883+Oun/Hj4wMCFJfSswc9CO4chwXn2wW5j1hW0kXTiTXGNZmfVq/d+vPnCTVah4eOatKHbzMkK6Ad+lvB8FBx+Hrlc5pvdvk0Io+7dRpYF14jsNyT2p1e+N0u/gcB0pc9BED/kfXhDXAKW6DHrKnZbGZQ9PMv3yFExfh1wPhBsd4wiNJuuwcUNDBnPYq1IrL5uatIQ8aqoPbAFNA/MXrj9/IMXO55vsYJGxAN/iwfge4JuPsZ624vnzF4Gz4qVbgBMg+BRl/vH3n/6aJoCTfLjjpwPjwQ/KNIlRDgM4Cg9IL5PrL13kFMeV2Ai6B/oH2VTnD6rbCNIUxw6gMILDgV2cZ5vXPbFOCF2fnxa+oBxblnXfa7gOWNA2N8/dQRdOmfgXSi79I929wlmK6G+ZOFdf0A0H+IqF1Evi/AwBrg2lEY7PIZtQn0ucOXl7dAXzH9zQm39xP++ekH+Fn8BF9c7nBaB3z1covTeQBEcbifUErAknroKkgPCd0LwZblRlBf9z3/FdevH+TOE7Sa8zgMPDBKBSZDjx3tt0yAI8oAUEOyljkUhXFUW7qI7kTYsdHDzHikUqyhNS7vLapPYpRoq320tiYaNhXRdKGAz3pjB1CGpf9pBIAFwB0d/ZC0HRh8WDRKl9N+vLdoowCcrN5mMWl7mNEHgQxpOx0AUza2cdrVxmkIpCy7qmawNhFdtEyV1aeoZTStpyiDXGkUTVf4Ddn6p4m0vpdizj/7LDp/jOPvwYlMYIuKPqGO0Zx6PksZ+F3R0HhvY8ODM4A9HXhJVYQp72psBDh0EA1W22tZBhO6CHcD6sh6CTUaoTvAwfo8iqN1TjssFtSpIF8SLt2AUgK+ibfoYsGb/oIxrXh7mFjSVgWlBixrwjRtRVVea8aAaLc8JJCC33cQYUaHRqxQKINLEfbXXVdISva6AMmFgVyXNpVxO0hR95uiWO8+dxzQHIsGlkSnuqjNo4l9wdFXhShflyara7JMEAPnDawhwkpUrtUIhR2NyoAFrzsBNqfIN1OxcoLvq9l8rc5Nmy+bw2mUb4I3YQNvALjibB0TbcLsvA4ddPB6AW1r0pF+5GI1YjZtDkb0CdpFhMsKOU8bSGQ05X0Qp9Gyu2LiJLlaj0ajfJsaaO25FmUtpD72HSoGU9gWQCx4WCsQgBQMfHInLtlGLWh7WAYDuGoOdJoVmElNykeBZkGYAioSpr7DZexwSCs6Keik4D5d0IWCQ7ei61g0lNdIJ6DnRupLs3RG6Qu74GQ1MTDh+KPvrudFxAxjm2vxvow219InUkMX0p/o3MVmv62tiGc3VBsNnBnAyt6bkQI1sEAizAUhB0gh4BYHp3rSg3TqWwtyPdOoQHemOKH3irzK0BQgVmDtgHxQc8alIdnFARrLpneF9UCyFmb8+q71CJW58P7XzFZXurMtY8xol64zt5bthVM9PRMWrsddY+Se7gHADIgWCIAydARFLksDezARbGusBhMELHcD8m1HJ2VicBsWlshIZ6wKgQFHIL05B3ynBl3RBN0SgDAlaM+evVLUWmxVaOjtzJDmIDbFZl/2TE1dZ9MTqNhZgdNEcLYeuEbOucdaIttTiLI0KNaWNdZk+6Up7pIlstE4Q6kEBlJswdRG+yY7oxx7gsO5cmyWFRIDirVrap+1WKZM7FxMgvUYkEdTD3ZmjNkcWWIVxetTBQ3g3caF5yltXxst1du2eEC9JgP81107OAuo6QtZoB9ZalKjohwV5T2FNuPHxCBhIQBaesF6JPicDKTIfbTygIru2cbQM8pL2Sl6m81YnbOo8gw036Wp3wdAwb2zdgF1oFhVPkR4uxZ4Xa1le71XsX9uOhWkKaMcEtYxXjNtzK68TVDtA9ZjaEq/GoHxI0tYpI+bQFUvBCjNkQ9ZEUzcZnB/swuNBVijIBT26SUgxpaVITPbq6LGvtmyvrVngBcKg5Qa0Wpe1zXi4UzhwHRTEETxlAcsNaGqoA8Fx27F/c2EqU94yezBLiUirLa3dq/KrABM7ymY5V1B4gT0315YVoV7rHcR/WNG9+HcztwyJrz8dsTyVlogisp7Lj0w/bBCbzM0dJAaUEalkNQKHL4JiBeK0nUXE5Oy1obeSjEfBeudqbOf7N6+Zp/c4YNieKwstUlMaOyz3q2Ezen7phIeuorxsKAqWzvpIibWxoCa4mKKevRxsP1XdVtTPXDzonj7nz5g/vwGT3+jRz4w8E0TBfa8n3TITKR1zywR24sX7uv0RRX9c8XhmwXz2449zS2WAfgMa+LnOqU5XbiWh4+K4bni9IOAy2fYzrgMHL4Cjl8VLPcB8z0AFx9NQB7VVLDZHxjPivThBOSCsBxRxoT1MDLINd/A900AkBrsDNXWDnG5356Jr0FTcRZlcJ7vgDhm1JQYE4xAeb9CoiJ86BCniPI7E/7Wb38JAPjl5R5rjfjm5QbzmjBPHeoUEY8Zb25OKDXgQUHV7JIovlWtbG7f3eSvuH7tIFdEtvYIQTb6rAkoiav2mtMknpUBmGndO5d+6APoXjLCHFqA6GIVUhVxMlTVDSpR+bH9zjekFAzNK0ybgyhQugTbPA2dW5l5dUqPU5GcNhoXbRmuunN4WuE7cOUAuKEVq/VQE6AJ3tfJN2IRYOx2p7puGTARwDNbtUJmclAl8QCuQ4BKaMGu7qhANjHX2ZcKpvudmpywgQqlGC3Ixj9FOrrmAHjwzHu0oHWplmkyRLRIMyZZ6TiJgvS+sj2v+N+qgAmgiDeKf1VILoZ6awDUaCAursD6U26cTs+lKIRC5oB8omz5kDIOacUYM1IoOKQVpQ84rx3OU491TogvRERbuyLBlk30qzNn//uEw4CNuQB7b3Tk2SJVVfNzEoCM6MBHiY1q732Lm/reyjW0b58QHBQo/F1YtzYPFDqyQwlqPZzdm2dATYqnNpZEumhToiyDWP2kMsttG7XXH7kYTRN1CYI9Lb92gcs3BzhNtgno1B0dMkbz93pI2nqHNvpyfMVaiGhBRB0Sah/NXqg0HKrZdO34uSmiiQE5iAQLTrOrxsh3smltL3J7tz3HwSIP2l1kRVRb9x1NlvmtFZrto7xNiXI8IRbMtYxDbFR16M7ZF8u629g2iqCBPbIKJArKGnFeOgypx6V0qEHYUxmKN/0F+SbgZR5QiiAjtc9wunooCi2VYMP3Xe70h0CwMsimsLwfL6DNK/uRKuJcrI6br4tzgS5ASOEqQGggjp8R++BTbZ/xsfflaQr2MgEhsPVFWOn018GC1uUVpb99pgfW22c2SqmN/14QzDO6XuPUhIEUaGUKtTYFY3f2ucemzdbCq/HKlXTOvdI3wAz6fn/ZMQdgIEkDOaNstljqJkZl7Jz2fW7fAagi+K4wFkFUmGqur+N66CzYUMhcGrXUs56Nju371pJRkRq9rj2PsVJ8Ltzp931DRZrap9Oia7GMZRLUNSJnUjVzDRhjxmfjCwIUX6dbRFGcQ0UtgQLxcctGNzbYK3uVpUDHgf1xS4XMxqjyjOFaEM/Ltg6iQI9De9Z43q0Z2YJVzpl/71a/t421jYEIXHV/r1OiAY0u3p0KA7O7iBqpshoXZphqb/ZyFgtysZWiKFqLPN4fNpryKtAF1svSggaz7XD1R41hYTV1vmYNkFJbRypuX9zLVOX63Ay0o+Ig0F6Z3kCBPHovU90AWB93B7+azof9XECBnuAibZbpVgaeMvmGuvlrIWurjQ3rVmaSznWbO+B6Lhs12s9ry2BNQBfd0ef3x0Wtc4SLdGHbg3wqLGvehIfEqLyniJIUU9dhGRZ0UjCEjJwiVl2x1IS1Riw1olQTfVoDlYVXQVwMINm3HAO/i1lI2+cOpBWvb0fEITVKej5G1P7WGENxAwOD2ZKV8nUnJhXmdwFr7WhPNg7xIsZEs3sRo787DTiYtoqVUMVpSyA5QwHg/U1v6dOHBa1UC1XQfwxIzp503ySqAVlgN40pQS4Ubzr/kADR8MEygCIGgLHuNayC8Wvet9e81wQsn94g30Z0L6Q49y8VaaIoVBn8LHB7QdPcYPcQQffM5/dkAse1IyBr815sDfdPiv6kmO/Q+jL7uSNm19AtKK+RAqa1Uyx3AdPbgPm9jWMBZAaS0a+hBMiXO8H02/fGfo1tzvonqjk7a8QpwGSd+Phy3R6+xlWCxKnm1d6nEQhTQJEe0gHnH1igPZM5KQKq7HcFt92MadcN4nfffkQfM/704yd4wA2GYcWYsjF1AAnMwueD1Sd/rKjLq8X1K65fvyY3JSANVNgUoQNULEtTTaRHdjU+jvy7bL8q0HXQoYPEiGq0r+6LZ3S1Qo8D6qHbNpmqiKelZVecxlWGeEWHWe975ENE/7wiPk5AFMjtgNoFHEAxitqR007JeQ5YKNaA2g+qYkFAIpVg64uJDTl9dWkgYl2jZVAs+5YuBbhoQzw1BJTbgRmjy8qDtvVjDah3NIDwdAaWCdJ3ROWPA+p9T+N3FSyjQUo12i+wBbmq7fvQnCm+LzxPbOXSd9DIQK7RQW18/TAB0ChCwQ6gMGWEaQFCQJg8w2bGVwuCZYs1RkNwdwFDJdVZznN7BnhmK/CwokONhqBqYJYrgE6wqLQWJDqBNYcZKJeEVejsv+kmpFAQRRFFcd9N+Ivnd5hPPeScMH5g42wHKtSEdnRXwyUHk3d2+3495ybd3yiee6fW2gs1enoQ0rdtrK+c/mC1k1URn2egVpS7EeXYMftuaDXRcyBWUkXLEBk0mQOiGehLJYJ/CcgXwIWp9lf3UtG9ZJQxYn4brY6JNSF5FKgh33Vg9jydYSJCpO3wsBbLLBjYVKpl3MoW4DotX4SOZAwbu8MBARsnjbEJ8LgDWYfINiZ9sH50ijSxR2OFOaoipJjvwKLW2mkyh9VpyyFsNmk00BZARM4BAIgFIsGyOXy9/c6p0IGtknxeRCpLODxw94yGIXhh3dUdR9sPtEIqs0C1iZ4Yld3o7Fu9KSAlIHcdniP3iA+3N7iJC4JUBKn48fEBPz4+4BeXN/jj8hnOAqxCGpmzU8KqwDyjzvteUtuegWq9ty14FwA6TbTnvmNfb39tjGxx03d87RNFqeqY+J1mr0ihZcn9u/x3OsRGVeT+AaR9MBGEQI3Vzontc3Gisza/iZgt85Amy2KZwxr2AJoFAu6A5iOzAipAXLiPllEZMxbZ2sNZKYqrFKsI13sukKcz90gTTNNkQE6XtkyqM5msxISth2KjrcJZRwausN+h0YWrWobXnWPWOHnNvriQTwzQo4OjFoQmsiVq2rJnZl7ca5RZTyLksa1jF1xLDzPCkqH3I+ogQAFCMXAt0dOUuSDMlvWUfgvswTMjlAqdBckylPNbr4OX5uinC3UK8hFGdWMAnqNiTQlzKlhqwjGt+Fduf4HP0jP++eWH+Hn/Fh/mG/wCwDn2WLu+Ke97VwXESF/FLjlNqG/usd516J4WpJeZAJaV88i0QE6ltfarQ4f1HdMs3ePE1kM2xnrosb4bN5aNASGuKdGdaqOqws5owGxqrhurR9BYPd1LQfdxQrnpMb1jf+PxoSBeKta7iPk+tP7OELQSl1b2YrW/KkAOWztFBkOCOEcDL+1e8la6EjIB0nTmfNbUAzuKJnQXEwbb1zpLAJhtknXFgGu97TC/S9uaUzQl7+UuYL2h4GOabb2trHXygJgBUG1jC1hmdGCQGpZqZwTtunvJCJeMctMhH+OW1VWed2GhPdaBZ8X4Ddtvucig96Ld22c1sD9O9FnCTOGxjXIv6C5UhhZFO9NDIRBaO/otFFH1wJnv7Z4F6SyYNWGOinO/YggZt3HGrTUDPVcCmQxy32BdI2QOiBf6LumsRmsvjSkJMPs+Pi4IS8Hz7454/EOecy+/3SPOHeLKvWx6H7HcUYTs8jlrVRmESvv8/kVx8/OLUcxHLKdgYkcMuvpHSwpdtKmO587G0Woo85H/jysQH3bsm0rqM4RU2/WOwWX3wvNqveO+fvczxfHrjNMPE84/sL7FPdgGNAcscwd5iegfApZPKt7+9AMeX0bEX9zi+HWFRvZXLyNbFXUPEe//Wcbw7YSHv3mDy2cBeRQ8/n4PqcDxC/oSh28yupeM5TZiveOZkKzMyzOwmjh+6aI4fk3WggvK5VGw3MRGjVfhWECA218qbv/iDPnxAZfPo517FOkD+F623ORYuX+Qj0xMnH+oWH+0QF4Sbn4WERdAL1yHeeR4lkGwHgfOjwk+9s8Vt39ZsNxHACZgagadzmT4lYFARTor3v/TC+JpwfSDI5Z7ihEyQ775KN1TAJ4C5h9k3P3+I55fDuj+4kBB1/uKeqx4dzPh0+GELy53+Hg+YOwy/ge/+4/xXxv/Av+rw38b/57+DRz6FW/6CVNJ+BCPKCGiHiuWSgr6/Z9PKJetJdxfdf36QW6IDHDjjvIKoNFlhQdrE8XY/96Ei0i7NNVUDyCqUXlNrEqS1ckpiCJbuxtSPgVSXGVyQ/43x4AiVO78hlUBtZYLYLbXa2GkKOmfxYICQ+8DGNTqas6NIaONHmPG4VkvQNrvQtllFYLxfPaZCTWH2esOzUFw5UxNpPFol6Bj16TP/UB0xGgrtpctW+FZXnN02lUY+La5sJ814RND/DVuGzlgaLRnAs3R2X5p/3bakv2MbVssm9UuOs0tM2rBj3rG0jfqiqsgsNX7Kse41QlVmzPhQek/yzVi1YDVKDy5RmRlRgALkdDXWR7PLH2nxY1nGr/vaim9cP16YFMNNmRZVKB2syJCRTq/ksKYrmi9MkttWd1gtP6WVUSgAFPZ1PPgIggNMVZiB7uMilOy2rMaaLF3RDi3Rs0xhTunkO0zYtvcbE4I7PD6TsbPL7dFDwT9da72ndy+g1EdSSurPaliYaWYE9F5RQPS9qoK35mj3d4DbBnW6je/A4Ua2+LV7VdstfNlN3YBFABqY/k932/f2Wi9pULLq7FRrmWJ/B5xu7Y/QWwuoFf3staINQQMJuSwv6pKy7y0bPAOib6+wbCBA678C7B+2i8XZfM59J6wBqbB6xozILMBg26vFZug0iu6EffZ+p2fAQZy7afWM/VgwIUViGsgzbjA1G03x9/bYzDgRctsXX1egCeJ4GI+TWPAX2sAnFrt8VXG1G253bzZWeVNqH2IhmA0cQvoBWTLWCDUGEo2vDWHNja+zTjj6TvCa94zutbtAd2+sVseDjoLdnRqbMQPW0qNdePnsfpeY/u2B9keVHv27YrSDsBbpZkdhlZ2/Oq+sH1/a8NjpSmqVM0PUjFKxigrjnHBIa7oQ+Z6eWUjoWxBZXtmYAMcqm63umeVudCUv073bAM7m2vlvm+fE4B2rseFe1dcjI0ggMbYsiKSKyRSIVSUglXUJ9F2/z4v0dk3Gc1/SdMmhkPBJzRbd8p+m9+dLbUg03Dl2nF9ukbDd9TdYedhlc2HuRpjA16Aba9wEKbjIcCODF7DzNcXYy+V3vRRAKiVCtUkBMdl+6q9P4MKshhenUNNLMr8HTU2W8ue6gZQwcaqCTmW3fNUb6Wz+Y4Ej1+dH+YvtTZcGSb298qed8/Qyt/EsmYGSnh9t6/TuSYMIaOTgrhLB+cakEtALRHf1/ZSyrXfsqdwe7nSlTp04IQ5k4vAGucyXqSxA9jvHXCG4NVZ4u2oGJ8RqIWPwzZWwcbRGWVsa4NGgY0z/95nVDfBJvcRNpv2f7eyqiKoLvTY09bOc4e8pG28K89PTeBrqwNqaQOaElBA30ht/ykjy2TcXqFbJrapDHcAEkjd7aS95qrFmK2nq7Vi/pxnSF2TQIVgbVwVCyhK1WbWXRW34RyAHfvO6eUY0VpOXbFFFNi35HnNOGBgjqs2SJrE1ObZ4aBaRl4FqInzHScCVjIHTEuHWoS+DABvdVYVmEtCtqJ2EcWpDnioI4XXImODS+74ujWirhQUrL3td9MK/S+qT64cByBa1bI7NzFChlcCR6qtqT3pnGi0KZkW6OkCiQEyLa2OSLsErBlxWqCHAbUzwnoAmmpw3R261UQPVJFSYJ3nUozyvFEQ4zmzjWBP0QNptCGgdlwQrU+e/64oxgdO+nxv6KMfDHJt6NX6bMJaYvRPmXV5UZBvOtb5rV67xbYU4cMz9OUEub1BfXOLRocUQX13w3YPY0IZ2bZgPVIgofQcD6edStloNeliSOyQUA+JLYVmfnd4OgO5QI8j6t2Bh+68MPtyZPaq3HQofUCaCsIl8x4ORIDTmY3UNQowdBvdWRXhQvGT1soFFbLoRkFyZyOYxVvbknLTQ1Ow7O7CWuCegS+DepuXWS3Y8UUuQFakMxfkesfMDKrgm8sNntcBU05YC/uIRlF8eDoiPSZutLag0wVWS62QlzNkuWz2Oy1bFlwV7m06VV9XZnhVAiTR+YO11dJpZpAwKgSWKfD+jGkTXvJ6veAZZFtP4Xmy+hlsjrQfZH0HRUQoGdHbghx2NWNC0R4XzYgTaaTrfUc6fdvsvEZErIwAKOZcUu7/2mllyyWjf9lBk07Zss3VMqUAOmyBz84hVwfGHOAKwvYHKaCOHeohoQwR6y2ReK+byiPrquIM9C9Oc5RWy0YlT21ghFqrLQ/aNIZGScSy2h7fcz9x6qfXThpVWaPQTE3oR86WxXldR+zzY/sSB0+uwSXVhrS7sJt2FG0AsAEVAkD9uVgL5AqaUngwr28E/ZDRp4KpJASpuE8TjnHBYz7gUjo8LSMulx7rlJBmQVhIbWstTIK0PrcAIH0PPV8YuB5GyPEA5IL68EhbfPtm011wOyyFIM55gguGEcBcIY/PzPLeHIAuQaaV851iq1GvA2s542lGsN9jzTwHhp5z2A2kqdfNaWu020pQrHspTcTKMz9eCuBlFeWQAHRUDLVWRGEBOuHenUebttloY02MzvZ3EehBIIMg5AGxCUcZg+Fl3mwvsh4f80JbH3ueQ4cOpYE4DAboYArFa9JmT3XV3X6+ZbcAIK619cBldnwLVtmKjvYWJmtpdjtAY2ygbWPIiP0HMKrc1iopFOo5yLwiDB3CUhDngvAyXYOAphUBD4otGKZmgjEmTEwJALpT2QJoBdbbiOV20yaA2H68Cms27+gMjXHFIa7ohAHAbZzwSXfCKdMHqZVOVlzYpi5dTOOgFGwIAVDvRqRLxnBezWcJmz2LoN4fUIeEcMkI55n05dNKlseQgCEhzLlldOPJ6lAX1s6E+wFhTohzRXxZTIxtRBVBnArS88zWiib01Wj5leejRkF+w2c6/nKm496ZoNtLwfDtgnzb4eVHCRpJI43rroTLAoGattZGAIzKjyaS4/ok0ajQIQOuOVKTIAiBxHQm0LqnujNbS2aCDgk6eNDF+1jedg202UrI+H3L7a5eOu7WmRgjKCmx2tnBYzSavChYn7/IFmT6LUVgvU3A7S5rXxT9adciyzQBZE8jtzUWBAhnvlaWylZbrnZeCfiTNbhRqD1QcJYHg2w0hpPYvEoRpBWQk2kD3AlqIB28DIp6UzAeV6RY8ZfTWzzEBT8YnnCMC17KgOd1xMf5iPPTCMwRcXGxVQues/JM2wGScanIdxHFGCaHrzYK/R6krj2w3lC74NN/Uq9s6fxZwOVzMhnTPNDHupVG240TUAdgfs/sZe2DaafAzmfF8KBwtX2NFKRKl9rAj7gq+ocMDcDHvzlg/gTIt4r5k61WVDIwvQ+oKWG53/w/1oVa7XcOkPsV4bMMfByBf/QGN5n7+um32EVj/IaU6Hxi0uzD306QmkyUbAs0NbJuGAJM3yakc0K+Ic1ZKkGBxqwB9RzKyPtZb7hOqmWy+yf6UMGAgZoUciuWq+GYhMz6V/dzQlK8/ZMJ3Z/+EstPfwsf/s4IHTfhsmj7G74RxKnj+26o6H78gnvC8iYgv6mQjwHDR46zB65lEEwdA3fWDnOtqAjmd4L1Vq22nyJfj78/QgpbCeUjv394oEDY/Bmpyd1zRP+giEvA+u09wlFRfrhAUoVOESiC02XAnz59iqqC+8MEAfB/+PK/jP9j+FcwlYSbfsFp6fHN0zvkNaF+2yMsgnKsqPcZmnrEDy/Q0xP+Otd/DpncnaNnKJtnZJoybjWnUwlRtBo8d4gAoBaoenYvmvKpMDhcs/WFte/c11qo1/+aA2C0SFkLz1w7tPYtlbyFApAQrX7IBXpaI3EXMvCaUmEA5Ehc68NbN5SUN4S26QG2+cwFYa1Ei1yivwKt0XpRYF2h8wy5OW4ZMLun2pPWVg6sX6mdNCTF0TffUIiMS3tcUTSRhLjLrmJZjXY7WosLBicNqY6byqDXRKg5jfwM7AIWubYBz3iGnU203XSXuXVbMWRck2WOi6nVhgB0DkGjZZFZSyiGmm3IFzxjrtJMZc4JCuA890RBY0CKFSVHpBWtrnff4sLtSJftsNBSwR3Kn3/3b4COSamQVNu4oBQGxMUoznWj76rNhezt2Q5blHSd8TMqdGs55awIYOuXbAEYNEL6uO28AMQUBJu4lwjKMVE6H9itU58n2/Q8o7sTWPNN2w/Xq0xu2ZTTVUC2QyQk6cJXV2Nn9FPPuFWnsnbRagPZg9KzztocAkbVdba5S0bd3Nek25wghg1I2SPx+/E1Kr/Uysy4cb65ts3+ZXufMy7U+5d6sOvPBo9Rr+9nr0pL+1CIkBq2v2exAdwUhw2dtQyurr5nSsuE5RqxmDqYt1rJNWKtEaUEIIcd2r/tX208/IoBmFbUeUboO+tvbIGs9zXuElQK7XI/5p7RTbYwS6VacwyAq+7bZwksSPXWA8J1J9anVOfZKKaRLUN2Q+Q2s2V2FajS2A7MWJixmRNMpzgb9Zw2vlfJZCsvNBsNO8dxEw4SKJQVIkLRsODB5X4c9nvDHpAySr3vq4ietZUWjDiYsT2vtAx+jbI/xrbxtOzK68z4Ni/Vgk8zbfAca233PAMmYAsVV9a1PXW/p3Nv5Jns9tPO830A5Gc+sDGpduMjGRCYo12VVH3x+7E5MCaKZGn7WbCSE4DZFv8ZP9YYC57hatmRTdSx3YKBEt7urfUb3nUTqH2kHTVaPYGTMlJURcpWS+3CmdTOqAhzROwCwloQ5hVao7Xkc+aYlQ/5erdncIpvHTuUxJKdOHG/qfdDWycOaIaciLetBGcbzTYYiGPj2codKoyOzJ8XE6UKq83JDrfQaONZlD3FFVd+VEs0NNaLWF0uX8cewq5LsAu8I6no1foHOxOtte2KQIA0EKhlI81+vS6YL7ZAN0izM1eo3/w4bN0ITN0b9nYzoC3jWB0kZUcKBtUFUrinqWe26ib22DK5e1ZAEcBVb7ltG4PBmIQCrODvqtWUIiqCdYI4Z4Lhc03oQmmMtKVE1uJaW7MWqKp//7bufO3VTuzMJLjZ6uV9rdm8uB85fpsRTdSrdgH4NFCQL9t5HGBlNNrqgWsP6MC5r7P5oAq4AnVcqfsRVkArNXCoQG2+9azonmZABHHpLRgGytH2EGM81c60F7rN7w6FmWNx6n6quD1O+PAwoH/guCxvBSUB/Qp284BR0iOw3qllP90vZ6hSeyAfOXHxwgcpA6xrhRu0naX2rPSpGATyfvl89WKsy12m1m1Cw+aDeZ/42nE/C9OK8u1HxB9/BtHx2t+q/LywEBAsPUCsz4Cg1jWgAkJWSVy00fD3KvCviW+1B8rR1tmZa2y94fPmI8fBa7WlwOqcDUBZaHdxFswqQF/Q9RmXJQJZUHLEaekRQ8WYMqoKvjnfoFTBocs4dCtUBXlNKHNEmghOlCMgXbX1V+mT/zWuXz/IXTMwjq0GqWVs1gwJYnVakQiTH/6+oSyGoppj5Oq1zUFwx36gNxJP8xYUdRFyniHzwno3F4zwB78siGtsh78fDBCxmig1cYWC2gXkW2sjs2pT5YtLbQ6Io/WsJ1B0ezq42EEeaGxxtkV8Lq32RIUHYSwUKRFru9EcjLsbhHHgODoVzFR51eg+LmQFbBuUF/XPb4m+SLYszQqMHYWh4lRZS+LBfQXHuUagFGYfDOXcgwd8D8fIEXpv4h6mTKdx7yDb7emhhx56NBGtqq2O1een3hygh46OkzkaYa3QbLWrwjpAd1bjzI29jAHrzW7sFU04KR+N/jQA5cAd5Pk8IKUOt+OMm1DxNA14OQ+ol9QOh7BwQ+hORL/S5XvqbtXAEhOacVaCAozm1OjIFtSq6ibo0yVIl7aasBA2l69LWwBmWU05M6LcesCF68BsT1G0ViUtaCxqiPt11oeDbgIrwbOucecAKfrngqYcmQQpeXDF9lsQIFfLfrW6M92ya065K9UcDLe33WZkAMpraiDrWilQko8EdIqDOQlY77eDzUW6AKNehWjicRW44LuX1dm2Omm/n6G/tl8PFMSCKmWrDxf/cdERzouQXu/OsTnILtAEp6RabW4T1avYxLBCaJQ7gGsuFFg5hsL7Sqqg9U2mXXBDSSfBy4cjLuOAtQTc9Mxy1U7wYTniaTngtPSoSwRWYbuJy/Y533sNPbAoMHNPkGVtQlMiAqwr5CxX8wcR9sq1WueW2RQhaAdwL3cbcZZPVYjU1j+dtG8G0eLzURWaC9LThHgO7ftUZGuV5n3Xs21BO7NvNXVDhPYEXruXwpKOwlrYuKD1yo3T5mxQfRyN6txaehm4E5ZCNWUfBtVWb+4sDgD8v42PRtavxlxRDh3qIWC9Cbh8ynvxPpJO14sLWziEVXBQADOVp1sgGkI74yACuaxb2Yuft06pzrXFKFxDG4BYBu4F+8xjGZg59zUr5xnpYowSo962y0UK96wFx1Stlj4sFell4R5zSPDOBxrZRm7USlGb+82BhbCdRnlOuIQBTwvBkn+Cn6APGV9M9/g4HfH16QYfv74D5oB+Rut80FsNpnQdKD1pwzZnssNcXEtBNkKiHYYpc69MAeXNgWt/pr8ifYTC17TZrdfnO4hbsa1j8zmGr05AIGNp/uGtdT2o8DZxPi/YaWBQEdY1MvizfIzIxyOgwM2XzCDXtGVMRQFYXbrXVksVsxuOrZ+hLriZJm1ibV6SoklQgqA7Z9a/y3YmebDpvhg7PxD4YZso95ucsumgPJ9jvYHVUzLAS2eBVGu5A4FmRsq1E8RLRf+0wgXCWLoVWxDsmdk4VYJBVspFMaAA6RUaO3jXDYIM2kCvejBw0GrKXTHc9xioIn37QqDh7Q3yTdeyynx+tExc2Kkw1ySoB2k9dH38G2jmtphJO5dTwlkOmA8UzRxTxjn3GOOKpSRUCM5zT5aGB7lOcVXb67p01UJovaEQXMja2FBe994AhMo56k70XWsngCQsbxLyIFjeCvJ9QVhjm3tvUXj4Crj5ouDpdyPWvzWjrgHdvxwxPFiwlmgz0zt3DjdmDMDvzWMA7oHLZ3cA6Gt0/0Lx9HsB66cVyAHxKSBNgsNXivGx4uWHEfmILelk2fNagfLU4+MaIDlg+pzjkm+pT5IuAXGx/sDvKAbKQE2aH1h6+o9SgcMXASED4zcUh3r+ccD8nqrQw0dAMpBvuVcPHwTHv6T/udzZ3nWmL3H5XPHyhxko7I4QVrYHijPb4Zx+fMB6NN2fdk+Kl9+/Rf/Jv4rzZwnzW97jmz+tCAWY3pENsNwDy7uKOAuGD4wB1iP72NYBkDlsAHlgjW3tNttJF8XwwL339CPSoiUD/YeA/gk4fsnAcn4ToInnUf/IjPHlc2t59MwzuEZgeSPoHxQ3X2SEJeLyuwm1UMk9XgSL9nhOhf3NTTX9snSoVdCngi4UvD1cMKSM52nAy9MbqsdbV4l8AB7+G7+FenkP/O/x//X69YNca9ODFHlIAM3RRwjAaAFpqdeqnE5fznTQxWrxtGcrBEeKG72wVAoUhYB6MwIpIOQCPU/M+PrnpkRRG8sIYOigiQrGMu8OoqoQv8dDhxp7UJpbW32j5EpHqg9Gt6LhhqzoqqOSMBSPxrkJN1SkqWy1t0FaHRP7amajszEQ10MPPQ78Thcqmk30ZR0h3Y4eA1wjcIHoSj4q0/pnOm6tLsioet4D0Ot7W52VzUsLBOwKuQLLLtirysy6goHpmjdntL1JUG8GZocte4JarumNQaBDRL7pKEpiG56sZbMf+1vWggAwuO4C1ruI9SDN8QQMOYqK9YaLsHYK7XkoL1OHkire35xxP0x4OB+wnnvIsjljYUWjcHZntirZU5Kxv6cYgBWkH4tAJDDDi/1L9SqwR9dvwmztSy0Y8MDA56JW0htFKDTmlO8gjb7cEFtgyyp2CQjMABMoQKMLtnuv9vogbFVSlYJOg9W2GoDBvoMUHKuRjlCa6xX61zKBhmQ2ICcI4D1E92vNsz57im+jrQcgsua+DIGCBmNogUft2b80H7xWSrDRefn9MaLVfn3vtc/klmrfl2zNV6CYQJpT13x8rSVMc1x3WTqvc2/AjIEfApjTH9rrJQgU0QL/ss3Z3r6qtHGK9rc7ja74DhjyCtLzy1NCWQOe44i1RDwfB/SBztEp97gsHbAKZDWhmsXt4vuHifuvLaxSNqE1Gz/N9nwe1FZtegzapUZBh5qWgM9H4Tjuxan42QaEWPZcg5CH0m3t1qRU4HThnEQKh0kkKEI6uDR2AfYBfAC8LkytPCZkKuOSZpwYBORNaCa6Bl7d0PAmJLTuMkqV+2Ozc3f408a08ADRW2Q544V7J4AxWVsTwfJm1y870NbroAgzg6k4s92dVEEsaLa8Z9EQDCksOwF2gFIyumUFltpez/uzwMV6OEuuCCf2/pUuwDPYEGFZ0TRDhh56f7Od434fRvf3a2vnQqc/XjKCCZI1gbdDNHC5Ii6kqq6HTf2TARiQT2yXcskdgihe1gFVBR+nA54vIy6nHvEhQVZpNE4HmmUtFujvKKxzht4FlEPaZe8CM2mmli1rRr0/IN/0CHNBd17gNbhtvRj4y97GBlRWr+HFVstdKsLTCVBFvv0c87uEdKrol2XLelcAg7cJ9M9n0ObjSEAiIA+C7lwx/vwMKYrlkwNb8Fj5CAWO2IYl3pCd4mJzeaRAjlQHxNnqJdoezwFCE6uSrIjnpWW3fX20eY+xCeYxgI1X7DZv3VMTne7aMYjg3xXaU7E+XgJiFOtnLSjCuuOwcs3IWulPqNdGB2NV2HLfqa3Wju0Hvd2LB3TdS0X0rg5zAQ4myAYgnlaIJSDExPXqODLwfXqBzgtC30HG1ObZRZUIMFRm+72sKfgZJgQQduy/fcbca4bjJChIKEXw0g+YU8JaA7pQyWAIFUuODHCzBykOyNpe5/uyXfkQ0IkFwsJxJaWb+41YNjIuBIVYvkVww4OufFTooTRhL6+/1cheqsdfTDh/dsTdzYTL3KF7GTF+qFhvKExUk2Ax4ajuxUFCbbbhyYn1luvl7R9XHL6ccfnsyMxdZoCbzsDhY8HwzYL5/oBJrd565Z5ZTZ0Zp4CaO6ACy9sKjQo9FrPpnlTsyMAXCoSn0IRkw0x2QxmMjvtRkS7A8auM7nnF5f0B2iswkXIdsqKMAdox8Lv5omB+y5ZVTsOXClzerfibv/8FTmuPp2nA+TRCnw/MUI6CSw+eRb3N60TA+/xZwOkHDOjXW2B4AG7/5YQ4ZSz/6h3ye2B9U4HPZuSHHjd/ERFXxfyOa6701nYz214kBgZ0gmiAbVyA8UNGPkY8/W7Aeqfongl6DB8Vxy9XlDEwyI3WGuqsOH8mWN7SL0pnIVMiMMAevwGOv7igdkfIHLm1vQS2oBoilpsOtSuNubAsEbUGlENAEMVdN+EHh2d83d3ij9M9ANsHrF3V4x9E1Gmz87/q+vWD3KFrDjsXgAcDRI/FaLGtzkpk66voQUAwR74qZJqb89+QZg+Q7DvCvAIz6PBHZkO0ZcJyy5549rHRxXbZMnd0NUUEVQwfjV7tfrejeVEQls3hAtBocpqIUFMwwt637ESCPGM8r9s9eLAipEvh5Ux/3TJ6slfvtYAgzCukFISlQzrxoOlurpH0PLIYXEpFskC7e6ISYDytrMtqtPEd3dUzrSluc7ZuiGbLRhilSztH83RzcvZ/qrCOJcoWCOcCTPMW/AVBeJ5Yc7MWyLS27wCwKeJa3Z4sGbJkxBDYl24kjYyKidooJsMDaWSX9xHz22RZ7g41Al8dDvgiUcnw/rxlJ0Ou6E4m5nGhQmh8mZvD0q5aoNaDFaVsQmuNqhc3I2iqwh6sV6jaWDmFz+3Ts7Ae4PqcAMCsW3bYx2eXLYY5/RBhlsJQ5OAsgT1YUHdzJIJQKkKkwnDnjrll1OPUQVNAdzLV8myUOQBq6pOtT28lGCRVWZ+2q79tQbsq6fG6Iy3ugyS7pySC+BLRPSXWvQW0lib9E2tHnIIWV9b0SKFquRRFepwRzvMrkKReB/p+iZCC5+tRFbLIRrl8tWcA2MoufM5s/Bugtr+83tfnLBiQBzC4AyDnqbFQggV1rcd1CxAC6/lSQPcSW8CgARg/RixfCMqQsN7dInfAf3z3FrVncBQWOk5vngm+jR+K1e3zT/+tpb2vBOkqJEWEw0jn1XteprSxbfbttTyrXS3ThRVXl4NmLXu9GztfCxfbS/blFK/2/Ks5tEypGNVThwRXyvbPbgqjPo6WbZKirY5VrA3aVb9i9/EtmyVeZye4uhdRsOfycv28pNbuAnZXXfd1EAIBzRQQ54Lh2xnpkiClw9ayy6l0BHHiUhEXxeHrBeGSbV0BUgrpscBGl52WBpICgMRodHvZADK7NAaELjHAmFgfHV6Wtv+mNj8zbXZdYX06IM/nK0AUfce9WgTq97Iy8EsA4hQRzktjBkSzdVmT9VDlfpG6iLAko5/yo7tzxPBRsH7R4Rdf/1ZrcwGwdjrOwM3MdhgbxZwqrN3jfKWE3OZpZTeDYOvdRY5kyVd6CrJkpNOul7YDASIIC9lMtHMGkjDBL6deN/EubLYZLyuGj5EgibXaa8vF7lX7BBwIzoelWNkR94baB6QhIs7eo5aAC3vleqbS9UgCDgLUwTVE6JTHlYDP+G1mcGsZ0bAWhMnqvNO2L3jP4Hhatn3KxkuKIkwR4cI15orRDrx0cau1dmZO92zU/Og9eIHxobKG82JtIA2cil6XmwJq7Nq9qWl6eD20+4vJ/Ks0BXQv1pUhEdTpnldqoiyZwMQiCHNsa0hUmQ3tEufNng+HETL0rC+3c88ZU+mUN7vIBBZEyKLrnxkApwv9QgdUyiFCNBmwJfCERY2Ccugwv+swJ+DS78oyAKSL4P4jyNi7aOvTmy7skiD7PROAJiBe6NuUkcGX9NRy0Q7oH/g5VI8moLzckdUxvwktW5q+7tA9buBvOnPRaFTMnwzQIHj44g6ogu4IXD4JLQAtBlKHFRg/8izSKFhuBeutYLmXBmahAtO7gPXmwIDq54OV/PH97Hzh4AHFrLy8gxlio4cnIF4E/SPHdnkToElRe+D0Iwbf8WQgXgWow0PQx7UDJHM8MhT5GCA1sb/xx4B0klYO0T8zED58W3H48gKpIy6fMSPqfZnjY8I//5Mf0T+eTSDRulT0L4r+VLEeA+a3VpZ1EBR1TQFtB1OYgfWuQxkjha4A9A8B5TwiXYS11oX1v/FCtlftCRA4EHz4hna+HkwLIqBp3vSPTI4BaAk0T6gRzJW2x/bPCv1CGtUdwrEU5ZyffnJkBr8wG18HRVbrXfw8onaK83gERFlOB+Cbr0d83b8DogJdBaaIuz+L6J8Vyz1BFw/MX7sav+r6tYNcHQer0eJNas505kYTo7pMrDfdOQjNcRpHiGeyUmQt1tOJDuGbe+iQ6CA4bdmFap7PaL1kU4KUAl1to3OKaEMkw3WmF2hCQOJtMESQnk78fZfQBEO83YtngdZMKmq2DPQwkI7nv7NMB0qBDAMFWnKBPj7z+4aeTnHX0SnIBfXrb6ClIry543vss6XroHdEy+X5DLHniwBplrdHjsGHR1ILYwTCK2Sj1Ttr+39ztP1vd75S5HhXMOisFfJyhi4LXEFbUoIehi2zaPTY5jztApr2/1qh60oxG/++wPYy8TxSeThnQKylDACdJmYMxgFyOGyfCWD4ZsBggmSuWsya14q0LEApuH33FvrufhuHYqJae/Ejyx6iVOjlwteMA+dlWaFeP+t2vmZAFqjWVlvXAlwxumSSdi9XWWD/3qr8ubhqddgcew9aPWCuCqwXaKnQZYGuGWEcKAS0X0N9h73CeVsLXo8qgQF6Kfy3U6bNTluwsevnGfaZZ8syay7NwXWggkW3uH5WgJnrFK2tUmaQb6UJmjO0FEjfIwzcI9Tv48NHIIQmzLy3l+Ob+63+2OxBT+fNzl3FXYTr6zDyvdP8/bUbQQioARxPn59KkEktaJW+b6I0avOnBiLIYeSamCbosnI/ubnBldiYPYN47+Qg2xzMc/sehACJAWEc6Rx6BtxrddxG7H4B4Gi2J8mEnXyPc3Ax78CyUqHn8wbQhMhnrbplW8HACX3H51oW7t8uJOjB7b72ErDvVOjzC8fBP69LbX/d16Bfqbo7AAJQRM0YJrpYNnLPXvH3uyq/ZSxlHJrAGIANVCuVY5wzws0N5OawBdB7G/O1vN+z3N7NLuR42MbY5kB2weQGPtX27Orjvq6AtZuQvkO9GVEOHboPZ8QPj+hixOggh607WVaOS9/xjC0F+OYD98XDgXMUXq1ntb7HOxuWLm2lBGanulvzkhK7Cfge4s9Sa5sX9fVta0ynCfr0vBu7gHBzJNXdA+odUCEvtk5LaWtRzheIyFaiU7Z9vNuf4SHg6CKU/rP9nDmIqtpa7+ntgc92noBp3va2PdB1mQn8WmsY7SJEK4XRdnRveZl4HsbAwFOoEyIrRS5lWgjIjx0A0khbj+0UoK1jgdsYED+eECwz6u36ADqR4fkCnC883/XIwOmZQnBxz/5xezfALcw9wYTTSpHCXBoAkz5wD/OeytonjDcdZKno/uU30MsF+qPPkT85ID1MkC++5RweWIaWP7tDvuvQfygI3z5RnPINfZPwfAEuEyRGBNsb0sAWet6azcFuCopGaIwotz2zzHOhAF+uEKfCg+NVj721+bH/O3VbAFdJjqcV4fG8gUeWFGggRS7Qw4D1E/Kzu29PtAvfK0vluAKsNVdFPXQUHZuNeSCCen8kyG+tKiWbIJsqojOmfB77TT8mnglKxZeZPowBv9p36L/lfhIez5BlhZ4n6DQh3Byhn7y9ooE726jpOlQyG8XFFN3GX+3NpROkbwv6b07I9yM09MgHijppBG7+Ejh+XTC9jZg+cVo57ffyuSIfFcOHgLsvcdV7fPhIkaSagOcfE6i4/RMK+i33iuUtMH4lGD8qljfA/ElFOgnirOifCi6fJqy3wHLPbGC8CG7+ktnLl58IljcVhy8F7/9T0p6Xe8C1KcoQrS7XxKyyBT6zvSYyOO0fBe/+mEKb588j8lEwv1dMP6iILwH9A/eSaqFKmC3TnGEUcio9yyCY52AJL46Zt5MLhUFjyIrjv3yB/Plf4nD5Ec6fvcN6Jzj9WJGPFcdfRBz+E2kaMjWCzxSA8aHg5mcvmD8/onQdyiiY3/NZuxdgeKxIk2CdCfLP79guMo+8/8OXipuvWIKzHjn//YslGRxoC6QoQxW3f/aE8PCCy08/x/NPetQEBvEK3H7B8bp8GrC82cApFQIRrZXeqjh8U3D8iqDZ+TPra2ytzPJR8PHTyMy0dQ/Jx4p8ELz544D3/3RmmeiBwbWLfgUb+5oC8pCQZsXdn78gnBecfv8e58/iFlQvrxIXv+L6zxzkFnO4LuszOmUQK+sM5AsP38wNS9cJyJZZgtBJzOagrwsEHQCjEuUVWk5ADXZYdAz4nBJdWCEt69xor75R+WfSynX7PmALdJ1yVybLynUAOrQ2LkEAdNBiWVbP2Jh4jbpYU83QtUDQQ5JtzPPKA1wLUAsEIxBHO9ift+8rCSIdEDpgXVHKiXWxq0JkoHNVM0R6KvbauOqaW5Ak2kPDTCdseoSaI8o6QBuGIN8NemXnyOwyVqoK6VbUlSg2nbcCWSfOX0hAjRCN0NhvmXegOYWt5U0L5rQ5OppXaN1UR1EByRkyzxakZgBitgDoeoGWDMkLg/uq0HWh0xFG7hAuDKWV81EUepmgpSCOFdKZPXhW5TQBdec8SSTAoop6oRMhOkJ04GeXFWuZ29Bd8gtKqkA2OiaYTUFOW4BV0eyDz+kZWBOC0i3IJay2O5B0F+Rq4nszHXUGhitCXshUUN3WUOhsfkwIpVZg9Ux02q25QhqVy2xmt1cTzBJsNoTE53Q7qtrs2lWkr7J5ry5BB9HEIK9ahjmvfPx14RrOKyTZHK3fD8lxmBlQh5TpPJhtaV6h04VDZkCZRNq8SA+YvWgbi12ga+Pua6GJ0rgC6w40E/HeCTBbs7EPAZJXjmeeoHmFhM5qkBVaLlzL7UEiHYQY6RkE4fs8cC3gGpNlN+b74FxbUNo+0h8nRUgdrxH8Ndu+GxpoopOpJnddo9ShKta6OZeX5QmddNuclQkCgXgj2RRxlVrYg5flBM1LswsRm4vdGAsigFf7ktk0ApXCJRd+znfGgLaF0Bt4ZkFunKEad9TQQuEqLdCFayisue0lLfj3a3+OOLOl5jbfABgsdcvV2xojyN+vu8+Wji2lct4Cdq0QdChLRIkJZT4D8xPPphyvndR5ha4LZO0B5TlS50foskDiAtGO4ENbzzuRO7fhUjgHC8FaXc3e2j4tEIm0vcC6bURSzLVUoCxXACn3LTFg0tZsCPyctUBiv9nEPhvva9bvT+w9IkCcoTVsZTMOCkC5b/rYrDvWx97uctnmTAsQExAO3AemmaCLBV9X+/n6jLT0qKmHWkuWkAvict6CZvse9rwOUHRXa0zmFbKuUD8XVc3GKuqSkaeeTKplYVCUJwvEO6hGICdUd8EUzIiuZ+g6QZaMMmVjcF2u7ExLAEraQLkQUC4rakmI84pwoW/gjDnVuJ3ZIaCWhIKEsBbky0foNEGmHut5QZonyPxo6+oArRF5qli7hLrMiPMjoAl1zgQ31hN0ngxk5ee3ccpGk5/5HBoEWCzIlZ6lVEvm73NtQbmzJlRG1F3aXkVQhAwtimQp0rIgLBbkxsGC3KX5jSgVKj2ytRsp0wtknhtLTpG4VwAMxlVRU4eKhLBmhJXgvKaRjI/FmFOZLLnGGtkD4uhQAufV2yyGy2wsQ2c6dahnfm+4nIFpgU4X1POEoCdgyECIVgJiQa4L/dleJQvBDNf18I4FezufTw+YLwF6OSOnCfPQY+kj8qMFWs9AfC5YUsTSb/RfDcD6rMhZIY8B8VG5JZ6ZXMrKjHz1ICgAdWLwkTMD6PAiCC+KZRTkxwKcA5aTQs8FyzlhEcEqwCqKOgnWZwZIy7NgjRXxOWB9qgychVnXdC7IU8Xy0iE/MmupFwGKZXIBrBUoa8XyFLA80Ydfx4C8CHJQrFqgLxHyaGwL27bisyKcFHkVrC58NXBthpOiXhS1CCssM6CTMUdmBrnhfALmR8hlxPoiWCBYHxRlqVgfIvqHChebqkmwmvjV/JIRzy9YTgvW5w45C5bOg1xFeKkoqyCvTCSWTJbD8sx7iY+K5TGT+m0CfnWidgOMJVAjUHuWAsznJ8j5GfN5wPLSIWZFmQ3AMJHdZYiYg0BeFNO0opSA5YX9usOpop4r9ViKouSAZYzXQW4WrJVjm8XEoqysb3mKWJ4mdhVYCKrUIZj+iyIsCnWxtFkxP58RzjOW54J1SE34LM/UrvFY9Fddoq9lB3/FNc8z5nlbPP/oH/0j/L2/9/f+Om/9zfWb6zfXb67fXL+5fnP95vrN9ZvrN9dvrt9cv7n+c7n+4T/8h/i7f/fv/srf/7Uzuf/gH/wD/P2///e/8/P/3uf/Y6TDDTRGIlVeo+J0R1Mg3dMhAZAC5khU30HT1goFQBPzUHuf5Ay9zFQkvTmwtcRlgk4LpEvQoSda+HxiZsCp0K9rK4ENjXUlTGBDnbNRqjzza0qp7ZkAaM/ejS6eIqWQOlcqcBigXbchbsBGnXFxGnv+fQZATxcqlx6P19RDtXEq12hh++xXVEytFVgMmRzGhq6SbtWj3g2kWn37CF0yZOw5DssKnayesQkmdVvtaVWitWN/hWbDad1OlYNl1mKA3t2gHjuiV452OvNt/yyG+sti2Ter+5N13aiMLqbg371ma08S+QyGbjJ7Z3TylCDeusT6pKJPJpSRoAdD3y8LXJDrTz/+h/gXD/8Qr6//zu2/ga4/MkPQmwp4rcBilOnJsiSlkKIGGE0ekJsb0jb9WYFreqxncD0D8nqeU9po5vYZ6tkvv4xuqKVC54nP06Utm28URKfQSrI680p7lxi+J/NvdNgYGj1OLxPH1mqBW3Ya2DLTYZeltsy1mEK6XibouqO0BmH2BWDGq5St7tNLA4Bmh3tqbRvHV9fVs+S8vcYpmq/ptn5VZfYrRmuDs6M41o1q6fchB+5DFJmKm5iS7yMts7a7x2pUaNX2nJrzls02OxGnmnvrHh9Xn7sQSGNfVoShh9zdcjzOl22OnfoeE+dhXaGFDIg/W/8JfoZ/9p0h+O/+/v8EKR22fVE2JWNfK5LztqfXahmKzW71dEJ9OTPDPA6WTU7Xeyqw6SKMg9Ea19YuTntbmz5+r/eLwHpyMl3W7RwxdX5XvZZpblRJtrULm9rw/vOMqiyF7BkKcAXIZbIe2WHbg3wvfi0mt7+mZVc6Q0o5DgO/37PaO9qw/1xmOxP9bNpnnl2wqWP9a7sXYDtfzpOVmASzr7B1LHhNr7YzAQBLU9YVchipfq3aVO51YH9fmWZm22LgHh0CS1xCYC3r+npPMnv1+dnPnZWm4OEJ9XRGOAyQ8bCdXxIgw2DMgS0r3M5mL5vxMcyF54GPtbEh/vT5P8K/OP3fv2vn7/9NpE8+Rb0d4Cr5ArQa/qYSHW0NACxjssydFIWcJsjpAow96v0N2WyFNbLaRZavVN1U7m1sak8aajyvCI8v12d733EvWVfaXZdQ39+zw4KvL5HWbq8MrH0cvjpBzhfoYUQ9dqRUn6brc9bH6XhA/uQGUEV8XiCloNwOKMeu1fLu2+qkp2nTSgnsXb1+cjBV7EL9kqXwHHW7AdoaIu02QJaC8HwGRFBvRqvFBgXpElsISlWEp4l7ittyTDw/9v5jNlZLn7genAUhO10D27vCkiEfn3hP7+5RD4m19it7NTedEb/vtNujvsMc0FZf3+bVmQR+pWg1wwF15GfH5wUyL9CbEeXYIcwZ8etHnsmHcdcKkPtKtfMS2HxhKFWly5ioQfGRZWw6DvjTD/8B/vyrf/87dv5H/6P/Oe4eErqnFXWIW4cO5Z+40pbndx3rJwWtFnM9kuJ684Xi5ovVOlh4RpX1xy7Qqim0z3ZGTT4E5IGta9KloibB/C6ydZsRLbuzon+gKFQZ+Nn9c0acSlOo1khaq6iif8rUTXleEE5nrD94iw9/dEQeBOXA+z58oxg+1k0ssCi6E4VsX34y4vI+YHhU3PxyAYQ9uksnuHwWKX5VwTrks+L+ZxlxLigD6cqXTxMun21K4QCaWvTha8Xx62KlekAZA55/Yp9ZgFAoZtU/k+7bP1dTE9cmFBdPK8pdhw9/e8R6FHZbqDANEpu6wM+7+XJF/2A+uwJ1SJjf9cij4PJpRD6ApMDIri+Hb+x7X6hhMr9JWO8sm21Cf+kM1nk/V6RLwfmHHR7/gKKVb/6soDtXioN2gvEhY/jlCeW2x/PvHVp9L8DPq84Wc1fPOhbkUVBGE/Z61F3HClLiXSOg9MwMH7+YEKaC+bMRy31q9lnWCf/x/+7fwR/+4R9+x+7313/mTO7T0xN+8pOf4F//nX8L9Q9+G9MnPVPiSawomXWa+UhDbYIQhVLvUilmsw9+WsuR3eWqjbJsYhd6e+TG5Is/hKZqGaZsNQ9pE06oAPu2sT4pfjxDzhP09oB6O14/qB9EQ2pNv1kLIMg3sfXuLD2fM81e6J2v+guKKfi1Hry7NiT8AtJdva6LAl0VOvbQcbhWpj1bYDGyzndPAZN9qwpg6zEJMLDat/bw57N6NtXrerwWeDml9u0dwYN54T1Yew9NEfVuRO2TFelTgMs3i/WGm+NyT+W8fU9V7z/ZP1Khze0iLorh25kHbNHNFlyw6LUQUC6koqXI+m+vI2tBiZoTZwdg8c2nNopPU/K2MZBpQV0m1EpnLecZ/+5X/2sAwL/29t8E/uhv4fzDYbd4QCXIau0L1oo4ZYTTvM3R7pI1bwJFfoi+Dm6/j5LnV4qt9rDVjcVNxfdqjIAmZub1WKK6gQYmOFNve/bDixQ00SBYbynswA+BtQriPPUPGWEhVYt9Izd7lmm9DthdSVik1dTJ6UJnFKCdxUhnHNjAFXt2zQU6kZLSakJ9bveX1066wun+V966ypV/PfCrSkozwNr6lFrNoNvUlRJ0l2jvQ0Q+dihDwPnzhDLC2nTAWg9wzOJMSlP/RDvvXyrGr2YKpr2QtihrNpAoN3o0UtrooruaUGg1WrkYPW0DJNoaAKAv5w3gMdCj1UXvxM2qFta1dB1yXfB//vi/AQD86z/+nyL/7d/B5bPO2jKp1cxw/+heiqmwmhlnCn55r2EEUJDpMn83kAS2+jHbuzQG6NGC3NmC3Eg7b/aqCj0OW/2inxerB/9ozi1VjKmITzVw0rVKH1CtlYn3Xi69XIlruBidFD53yIruJVPYRqSpsPp+zjVQNmXhXBkI1u3QbntOCNDRAsqJYM5rNeq2hvdU3916+E5wXsoOBDQKvNe27sUg/e+dPbee26an0a5EZ64ce0yf9mzp88YEg3rSxGoH5Buei3Hi2T5+oBBJmhTdS0FYKrqPF86Rq9WaMjYN0HQcvAQo7gDn/TP73zta/NXfzR70+hwEoDmj5oV+wGFArgv+3Z/9LwEA/9pP/20sP/0hpvfRzqRN9dbPfLdvaX5L2RTlPcjx7wzBlLF5nz6mGgV1iDz71us5dfEivt7u2cbAlbvVhIg0mcNvgaAUZU3bcVuXYaEDyn3cv8Rsf4dfutqxFIo9xcV8EeVYit1rel5IXzSbaGr9IgzUBVTnT4J0Lmw9FRwMAMLDiWfqm1uU+2F3zoHtHF2V3j7Tg02vPZXThWUC3lrS7KaNt+m0NC2Rdu7FtiY1OtBAwKYcOgp4+diMAfOb2ATfIKzD9F6spefrWo3tTNGbOCvSWRFXYPiwIq5svRUuK+qhQzkYWKkAqhIouMy0/z1wA7CWuIvtuRuouL9qve6W4OMlFMfSeUYFg4NcZvx7//R/AQD4r/8P/x2sPzgi3wLdk2L8yF7KrpTrAUj/pBgfCkonWO74O2//E2f2Va4dVZmlAMevGPDwAWBUe0UZAp5/kpAPQuXuxe2K72fdLwOcOAPjx4qbX7KtWD6aCNmFbb/yga0EXZALwhpjDbDaVtbr5pE1oM9/Z8X4dsL07QHdx8iuGReK9/VGbV7eUsX58KXi3R8vUAHmd1S5j0a1ZVsj2YJkez5RYHob+AwBqD0QFuDT/yRj/PKC9e2A5d7WeqEy+OlHEesNWrAaMm2HIlwVcVbkg8cTDPJqJ7i8p/gV/eRNnE6KIp0oRLfebhThsChqL1hvQut9q4HtfJZ7mFAZ2liErPj4dwTlDy4o54T4sbO6Zs7v8EDxKrfhsCrGjwyO85EioGmuiJeK2gdcPomswlr57OsNRcVaL2ZF64Rx1b965dgMjwVh0a17SqHglvfXhgjme8YWBE2AMk/4f/xv/2d4fHzE/f09ftX1187kDsOAYRi++4sYMb3v8fLDiDJyg4gLcPia6n3LLbnVcVFKlGegP9W2IDhB7OGKYhAFtkPCN9igSmdOtr5sNW3N2BEFqGhCBd4T0RehBkE5ECk6XFaiakOH9a5vC90PKRWgHALWgynEFarPzW/4LGUwA8/CZ1oV/U3HCcvaGn7HqbbNsfXCU20HZWi99Qw1rdXEVyI3NUN5eHNsOcK+foY6Wp+2ppjsKsnLLgO9c2pkXimyBKCJiLR6OKtRDWAtWQioxwHlpkd8Qevrq1Z7U449jd1UnddjwPQpVfuWN2x/Ue9X9LeLxdUBWgV1jkAW9F8nDB8p3e62IaWnwrGhw37vUin2s2+dA6A9YxNrsXGijdjzu2NoKtxUCt0yXWqZDo18f9CAEOxA3mdPJeDygwGPvx/bhtU2wUplQKJkHfonO3QN5HCl7n1rmhZA+f3tlIhbewZ3lD2L0SUKnFRsDkNPB0iyieX4mPgh6CCEo+QLD9/aU6l3eddjehtbq56aBPNboA7cXUQBWbfDfbgJSLOiO5Ur+w6lIp7S1l8QYFYj1xaAkJWQdv0kwwbCePDmc2jKue74StfR2dln9Zoab9hlay1zu1fqtX3KRZBgCtnqot7uROUAiZVgwmHYWgSJoNx0yDcJ5RAwvSFKevoxnf06FCAp4k3G+7cvAIDn84h1jTh9PaJ/FAzfJmsFU9F3gXveebEAIGzqqxbwC1ZoAQ0tCufiNWiSIu87UCUeqqY2H9rvZFmh83w1JhIjotdPKnAl75oL5rcJpx8FhJnqjhqAYiIX/Ujnxa+4WFarsq+miiD0CcH3KctstRYrO8BFG8OEarpBbc5NUVqrBfUiqGOHctNtAUZWhDP/XXvPnEj7u4z8Ox/Y2qT0tm93QoQ7EpCoSaHWPijMQP/MxvPds7J/bifovB+vnzU2ZOllZYufSJA1rAQrFZXigFFo/7k00R34M5YK9LIxgrx+0u0duNaEEBMcEtnAERf0ixEyYgNxWkDwap2kuLUs88+0YKCOaetmAGB50+H0w4B8EEyfKspYUW8L4k1GP6z47PaMooJvH2+Ql4TllwOGD2wRMX6gjaTTSsfdzyATaJJi+7DtX8CWtWoCk0ADgL3WcHvRK9EvAFcaFLta4IAACT20O7CW1a56O2B6H3H+Aec7zluQ63VzbK1CIDssirjWtlwUgjp46xilUjfMRswXgbJFWz7yvsLKfTpYn9bahyakVK0HrgdF9DusbZspH3vCYO/U5oHOf40RocTWA5M2DxPPkWbjLZgOdC6p8h2QLtXWtbR5SA/MdpZjh3yIvO+1mtNvQWPPth90hKNll9lfefiWAnxyd6Qibss8MxkRfA7tzG4CaX1CFXa1EGM1bOCunY3OoDHRMFQA1s7LVbA5bgFqvYIhaMr0GrkvrDeCy2ehtRDTwD09Hyt0UODWCj2r8DbPCTIL0lnQPwXECwBN7DW6sPWUxoAyUiMgeB9tP9uXFbjMvPfjyHvsE8/nsJ2nvtf4WRoyuB8akIYYUW4HKm0/VIQqCKnf1rfvz7Pi5T1w+e2M8ZcJ3YkZyPkToPS29xnA1/8sI4+R7W/EhJzAoHi5Y/un9ZYB0/AoiKu0toIMhDMQGMiu94rho6B7IuDnYlDrvaJGoDeVXoBjpDFABhqo77XVgk2OA382v2EW0NXn4wL7DuDt58/4r/7gL/FPb36Ab+5vsc6R87UI8oHrPB+psFxG2fx9qynuHzL6xwXrfY/5LdvLLbdcX3GyXsOpLZFWv3zzZ48o/69/juG/8ncwvb/f5tC6tTR/UWHCWdszalTkQ8BqyaCQt2xoWBXDc8HwcWUrQes13n9LIb/53T2mdwFxRsuUZ3uu7sIgcr3hd2gQrAlWy269dH+84L//0/83/vjpM/xp/xl0DchrgBSeo6UXDA+Km1+Ygnr2oFfZ4qsPBNAsW+ztVUNGAzVakAv+LYE+Rbr4nAJaef/plBnk3gjSZErXYQNZ8w2QR7YrCqtCXzW0+FXXr6+u3HdYj4L1jpMYF7TBhfXkArhI2drGAwOP/uyvouYQ2MFlDjoAeEN1It/BEHtzaJI0xwcB0F2jPqcN+Ia8R1J16DcZfJN1B7gJIu2ME2jZgLDyezQJ2vGqm7FHy+p55jJkIqR8nVrLAL0Kpun4BNIAK8U59ugm1VgN+auVLQbs80j5Xq8DP6cVi5ijtdGckCIplgCuKIOmqEqHS1tAi0IAAhUNhXfUUZMHoFuWjw2ngTSJaStErC75X3fZAkdGDd2JZtBxYo9a9hEuV+gsgw3dAtne1Jg9M+dOvNEWm5KtB4PLumsdtcuIWFZYMrYxB+CCWu0qhf0FbZP3pu4afbNWhCQAAjR2DN6nQqdJADEnfk8v5Fhs1EpUtIzhNsfYtWOQbU040tuCZoH3geQmpMBaKCoDZgcb7anNAzeL/lSZgYe1WTjJ1nPO7D5euHaj0X+8HUXrJ5s3lHnL7tr9lU0Exe0QRbbx3mV+3Ya31xpNulZS+F5nt1U3NWlw/K6CwVJaANxo2a7M7qDdDghxZohfHkCVMdIp7UMLlkImkqudQENFzYLHlwO0CtYL+9OmiyBY387asc+pBv8TSI2uutGjw6vnc9q3ABh8MzXRnhA2e1I6j209+DiGwPYXxeicNh5y1QN6l0EPdqCMQOiAOuzuR+kgqWytnICA9S5d930sCizYsl07hoJ2EXVILJmwQLe2zItAuriBMgqEgW1UCOQYG8ZaVjm90NuwaBSWCggDCk0CILHxvQKigroSRdcIrJWOrlP0aOc8n7qzZXPXDc2G98tdSmudxT1QG8213ozX9MLEgJ2idJapGTq23tvtQdIEqyzLul+nPq77NRQDoAbOuLiY2/Ceaqu69Q7273MBo8gWLp5907TZZu02umqzv8qewqskPE0Dco5YnwbIElpGN2S29wrWi1JSANbQ9mG3Bwdlrlgfdk7rFdhldr7vFBADhZ5ENnXlJuizjZvE0DLWksu1zVc6m/mGa9jHxtsBtj7gQudWR8HU9xQ7OjPT5D2YIaA4kNp7ynYPYamIcTemQ0T3XBBKARBacOs9mKsFtICitma5ttca5kHqowIGqmsgrVEqgZm4AnkwZzrs2Ap+TwUIk51jq61XYVAcslqmqUIH+mBSKtLZ2Ak2V97qqIuCuESedXOBJGaYRRU69gSoAWY5Y0BYuT+Hmdn9FqzGCB2TBUSWzV46MtP6rikn+5CE80Kg5DBwPWE3t5E93pu92NhvNkhqbD4wKKimLVg7AAHs4XusQFTrGBIgp4iwMriNFzrhDoSF7LZi/oCCbY8C70VF7B6x3RNA260B5WaA9sH6y9fWdgrAxs7KLKWQ6u2VKsK0QoqxDR3knFZI2QTyqrXXkVWgSdmPO5qdV6EdGN58+bRjL2ML5KL563nkoqhKRWPxPcr3BQHWm4Dp3YDaWQzwyLY1IRuQaH5SenEf0UCWwJY4mgTTWwLv4wMQcmmU1fYsBkzmkfOk4sAE5/Dlww3+g+X3MH1zQP8hIiogha16+kcYXZa0ZilAvuG5s9wQBFom7jt7EaSbL5iIKgPXav/MrLYmjktYFev7I7q/+Tcwvz+0Nj0A95GQFbpYO7+VQXIZ+H3zvUDK1hNcI7AO1r/6zH20f8xIHy+oY4d8y4Tc/NkR3ps5TjxnS899SIpt1VEggSwsBpoGYHXA9CntS6eI/9O/+ClyjtA1AEWsBzN9lmhm5GwRV2n2NmDOgAE4527/JfI++gc1MAlboKvYQEWLAQDg8kkCPknoXyre/zPry3sfmz36+Zwq2n3t9S//quvXDnLr2GO5owx4ehEMDzAZcRjCY5tAtr5eTv/ZIVai2BaxI9odDd4PDhUBRqu3MlqaO51hrWzwLALtfXPQ1rdMVqbZxeqFNTFLWTtuEE6dBgCEhCrBUBs1JS8aUJoVutBIYbRER3+ZjXTrhqH6ezqnNql87SLqSHpZtfqKRvUstR2SKsyoaqLipZQKnCf7DnOErK3RVeBm2THPRnlbBLW6sKvLHYS+Qx06qjm+AA0tB3hQdQk6JMrQJ6I43CidciyGhotlRehcZCTbCHkIoKtA0OZIxEXRn6we4ZKJ8Hp9lzv9nvEEoGI1enYwAtgyg1aXJfuWE3b/cpk3erNnOtzp2tN8ve2HtzayS0vBehTM7wvCHJjBL4IQ+WjeV630IOq9Av2JmyAErVF98O/0zHgIhvyb49kn5Lek0NNx3ihhoWj7HD1wruNlJSAQiFjzs63mcxfsiWccdg4YAgPxsFTLfHHDdXVF1lVwU+nO2jLXBDTqBhoZsr8FNNu4e4ZaJtZrYU8bdsXQfcZ8n623ukJVtXZRar1aY5svVWUteSlWI5saBZ/v22VAtUILtnZL/ZbZ5V4j13WWIixbOETkA7MQrCfhxksgg/9HAHQNWC4jaUlTQMjmFFlD+NKDwJ+1FlHbf+z4aYHRa7ZCa392VQetbQxQKrMAtvbb3m/BvIwDx3pZeaZ4kG9jpFfK03T81rudo56JnkphVigkpxq5wmZsrQUYBAZEEbAO+LpOU/uEctMhLFb/aqUmtQuoPcejdqHRo73nabwUqxfkHgGgOb0scanbc/u4hADoSMZQDgThPFZKBClKL9jop3YAr4r+yfpatnpKIFgwm54mUkkHsihQFFIy6+Xu6Yynl4U0wmj1iKUycw+gHgkUSutzqlstd2eAgdNv9/v6bGtoME0IgHWr35Pt3ZdBNP9iVyLRKNaepbZewbUjTY5BAbY/NgaaA3IVnOqIukSkDwlpEgMHNgfGgy/tImTZrSlnm+w0FtSz06XSHgbLWBsA2fYIA7IhbC/T+voWOxOt/r7pF/hacACtbmCOqDY7D7PfhwU6wsA3WM/juHjWj+v4+JX1AahGpwtCIMMozci1BWNaOPd1iFhvO7Z0sZ6pxbJIYmCyVIUeEqqDEHZWhOJ7rHIozIcKtjbZZ5L2G9dCdsWbhPlttBYgm0PIEhsGaKFsGWynhAanZRdmodFFxPPCbNuhQ74hgCunCZILOvNnXP1XhwQZExBo55LYQsjb/IS+41o7T632XHv2Rc93fQMZoECYEnsmjx3KTW8tR5ghPfyFsRhShMoACQGim3+nfdjqbtNG4Y4TbdOzdGW0jHcCymClGTcV4XalvVch8+xjYN/VZwtAZiu3qtr2PQD0SWpFvKzQFJCPHZDAOtwdBVmWjPB0tvPnBnmMdMbXzYf0+XKtAFnLpu+iyv3EKNlcZ5m91+tWVkhgFQiLKfm+Q/t81p3yfNcAnH8QNzsrTDykC6Mvr68sPRCiNnq329VyLzj9tgAVGL9lgNOYEcIsrpc1SPXAiza33LMl0OVTzpHvJ06rp5/J/+cDs7Ewd1IB5Fv+o/tlj1p6vPlKcPjWM5v8vuHJ10jAai2HllsGrssbBp2SA2rawIjuXHD8swdgzZh/5z2WtwndC2tVyxAbzf38wx7hs08Y/DnrVLk/MPHDdkv9qWK5cZCcGW8A6E5MIpSBycKwWPnHS0X39Rny9QfEN3dmTwmn3+pROvpkrJH9Lr269IISpQE33L4ZZK+fZMhYEL/uEX5+h3CjKO+srGsVhJUBbjTG1nLLecmjNIq7isc80hKYALDcsKwlXYDxsbKO+yCWwYbR34HuQjZvmCvqEPDxpx3WG+BH/7cV3f/l/4nhp7+H89/9BGW0MzpwXFLWFhj/da9fO8gFgNoLyoGF3qul2/ORVhhXOhGazEHKpOyRFiTNqQlpV0cCbBmrdqcBdWDg61TLMoZWEO6X/zsW53O7A6BoaWU7QEOuwIytbgoMLAKAmongwjbdhhqI1SjY5PLAMed/rQ1xZnP2ndgGgNZTdqXdXWXmPJhzBM8DN8vGaEMhdw6p3U+jYFqPSXi7oVy+S4/dBd3t/S4Q0oQXbJxcaCsFwHr61c4Q/ySGskijSeSRm4UjL6iAWEYwGA0Fc+ABZj2/2tgtlumupGjtA5mrDKsHux4cqlq2kvcrTsnb2wQY0MjOGWRQmK6+o7WO8MzTfpi7xBq+oTIerdYDsXLDlAgEBbQI1BA0R+m9BkhqhFaFOoUPsF6CNg8pMKjqmLkQEzrJY6T8+6qILSMLo3zu5m9fs9MCO93YDJ5Zhdl8VjpIUaBZrP5STAiAG1KIW2BLUKK2LK4H0tLsulwHaK//7QyF/Z8KuLT8VSbGs7om6KTB4M5dprPVkH9fK6P9+/a/3gvCVd3sxAME5Tqqh64Ju9TOspvDRgFsW4nS0SwL7Zo9+wRxkZYpCW1/gGW5DHzzdi6vWQPtASuAuK3RRid9tTfu9o322v3/d2PSMv9uBzFA9htvx3qqfFMJTq6y0Rwbei5Wd2rDmAxAMQ+VNcoRwdgge/GbRsNLgnI7WBlJ3DKqlhnTCJ4bBWgZEsvqXWUY9/azZ0W0NV0RggCoLYteOw8spAUqDliSqYCNoWBOXys38XXVRLewW2NG5wSaOBE3BWzv2b+27mzA58oBiD2Qsfu/+prb7987G9jPSwMy3G72dgHsqLCBe0wXbO6kOTTuYErB1gNWBDUHIEsDsEM2ZL9yLH3Ppr2E3b5r378T72oxdLR9z9lOAK7YOPYMulu/sh8jD2pfl4DYa/d7Op+VWSZUOs+8B77GARENzHwx+0X7bushCgEq9zUifRN023pyf4WZcf9uQb5hXX85BLM3GJjPLK1n1BnsVjQKtZUGhFJREZgxpHm3zBH3ITqFLPHZnFPA6kknBjJebtPEYZYd+8Lui2el2YKv5xDMtnXLXHvZUKkEbd3mgr0+RQIYu/PPmXkIgmClLl7+gP1cGnPC2WIaAkLv9Fy5yp5jl0338zWslrDoA8oBWA87sLKCz2rBl6yCemHZG9tjcU/3ICIurMX17DvX0rbeCPIqBNTo8HV5tfYi6cq+RniGbn7mBiDbGdl8PAPGm00XIFJfQ7w8a0fLhwB1AMqxAhJQV9mqUyz41LStYSjYm11Y71qtlUs5kCasnaKKZb+73bq0MQi62Zfvq2UULHe2jzwKYiVA4GB6HoP1cOU+o9ZSptWRi2U/3QUwoSepTvs1cHWWBtyEjEahZTRsZWUXmxv7Hu/NqpZJ9WBRKs+x11ftBWu0NlbtzBMUXx8GeqRz5Zp7Y2U0gTRtqUbVDWh7An1fX7v+/RwPHSLCzRHlZkS+7ZjUM18sTYq4VJQhIh9oY8HPV3NlpLIuWSNQO0MGikDniDAzE6xRkDP3O9nv4fY5OcFYuvyhZ6KvzsvqfqU00Mw1LzabF+vJC0Ai4qwYrB3SNs8Bw5s7+l+B95EutsYMiIszE2P5/999cv2SWrHcA/EHF6xzwvIuciCjAkUQLwnpRKW2+Q0Rgv6RAaQvAnXHHdu/Za0b9UcV5dBh+rTfqDciWI9EeuIE9C+bcbozjmrp8tEzd3Re4mklknbKCCaM0zZoqwUNhw5lTu2gI8obmDkoAd1p49WHVSm84NlggDV3p/l6sHKBNwOXUq/qMuCUlrZR1ta0vJrQlpTSxqNlcDwwvT2gHnuKvjy+sE/cC5FCPVIxUyqzOfugXo9jQ2LlQhVRPQ5XQhMUUkitnxURNSqs5QPBizKyFpeZFY51yEB4Di1D4ptMo7pW1g4MDyszO/MKyRV16FC7jui2N4h3BH/omBmxjB8zsVbH3VN1VIeedX6C5lRpx6CnNabviQ7Thmln4URxiO+18/GA5Q1w/PSMeeqRu45NrkNodQ78LDrmFbACeqBGZpJSFxC7HTV5dzlV0Btke28ziGA9EB2LM9CdqWjYPRdIVjvEhVkhy+C+Vtym+rf929ZZuKw8LF1UxBx4p8G8jqNgTlg6ZUNE68bAWKkw3ursXAzrKhixQzu7N2E2GMLmEHn2fN/H1lR8xYKK1u8x5622ut+tm1JMhCe0TPDmLNTr+6kVqIFibgZ66BBR+4T1vmt1cC6mxvoWcwwsEFOxep3V6XEwhJw0qXTh4dC9KMaPmfTFl5lzlQuBFauvRIybEi5A+xbZRIXCLlu3Uz/e04HFn23/O1c9HweI9lRgXhYqOXeurGLD9+YWlx8AN7/zhNPjAeGbju5aZ05QAByBD1AObQJQN4chHAKkMCMZjgku/AdYoKDAekxY7iNc9In7qzTxiu7iNUC0V6psUuwmGhjWQBXHEvtEFdpqtXtKhk6w3sWiQBkT5vcdggqGp+t14hky/sf29qkgXNhz04WuNBrjYV7ResCnCCwZaV43NsI+iyqyqbiupYlsNQqyU+VNENAvAYO/5vT73u3v88DRHd9SWB/qdYwiBD8tCN4CRAAdx6P2AdMnqe0zjpyz7o1ZIClAKYJaHLzh3+nsjqU5l7tSJM9wkrHQtXGQUni21dqCGO07nlGqPAeAba37+g1hK+UoG7gGf+3Q86weByAKwvMFuEzfC4It7wbkI1DHinowRrcCsgYThxFgoW3nowcxNpcBrcaTNq+QC7O3823fggapVjc7OuuJf+Y3EdO7eCUA1b9Qn6R7KewFeowoh2iBb2j0+KAE0GWpiKisCXVDEaMnR0FcKg4ft8AaoHNaemH96ENuZ7ADOFdlHqqtD2wdO9RbKjYHY8XpoSfgshr7zjKyABAuzopDKy0TY6+ttx1CUfQnU2wOBHalUsAOtUJmnmM6dqgm1hYvq2ka2BocIsqnb2hfpqTt990SFUNCPkaW5HyYoF3Ew08PmN9x3MuAJsjjfh46RXgw4M80KbALrKiOyyyUC/BVS7Q4EOildzJXhAfr/Xt7IHvP1rAeOyyfjEAQxEtBOm9Z6DBnhGeyE7Tv4LoaXrvrvln6cKIGwNjxs6MweVJ2wXQg++zdjx/x8OEWde3heiIQ+mzaKdJTwPDgAAL9GTJdIi6fCaZPqLNS7guQBcs99/Vk695pqGGlmFn3bH2RA3D5rMPlDxZgCQh/mhCegNufL+h//hGXP/wUH/5214IZKUAeBDVFA095LixveV/pAnTPW2mE2zuDOW3iTQ6y5dEUioXaLseveQav9xHnT7gf94+0nfWG5QvUiQFEA33qyRI7AkzvIpa3gnhRHL+uCKUySLegL2SgO1WMP3+GdhGnz+9pZ5XATJoUt39JGy7jVtPPY45ZXqc2S1Usnxwgb0YsbxMu7wPiAhy/ouJzmKhlNL27wfmHZFHG2faxutnr8YlCUJfP+TXdAzP247diGXdBvgnQQODXS/EowkahrnQB3v5JRrpUnH7YMZabgOGRAJwD02lWFAMN57e2l14UTdBtBOZ3pM73DwFxsXjRAI7pk4j0R7+L5U2CJo7n8SuyU55/u8P0CbPy93/ygjKdv7Ovf9/162dylQhZTBVVC4o7+0GhWRqiUDs6hyz+R6sjYYEylStbUFIVsQK+wwhIZyuDNHRGhVkV0s0UZXXDB4JBVaQC7uoHgC24qGCQmMv2+yAQ2IGUN6VnMVocQMenqX6ZI+D0zb0ytKxlQ6v3ysbg92Jdm9PfMin7jAxgWSr7t1NasUME9+qvJsCkIWzUx734TkBDgb9Didw51XBquNMNC/9fXcCo47+bwEVPQYLaw6heimCiAlLsb89oFacLbV+9qVfu6K6Bjp1KJaq4v4LZiG7jqWKUTm8ZZTV9fDZ7X2fBlCpEtxpAfgDgrSJof/juFak42MWKNRaULkJBtDEoWgG9S6eL2MYlW80uqUPmhNct4ASwk8v3GgRp68RrQKGkv6gAMdHDCtbyRF77cfvsd1VIS3fbcxYizZpBNBJkXXDNyhVtbBNasGy7K6IDWzaq1C1z4uNo99CcXmX2yrNgWp1iGtvv+bk+AXtEegvytkGz8fMgsCqwp976z/w9r53dfQY1esC/p8+aYFG3qcs6yLZHKGUnLCGW2fcDf5/BFdsnyOgwVsZ+Hfpz+t9tbW//pjBP+E5GUww40F1g9Z3P9ecPsr3utb0HIr5jl3HparNr2DNXq7eBoBGExVByzT42BGuYvQjbIbizKa+38vPBqaKso1XovI1xK22R7R6hu73ylar41b/NzptiewrmHJkz6vYtsHnjZzX2RXbAtbYaXM/iXwE1brvOBvGrMqslsmVgvDZffM3s2AWt7VSMG01dXu37/79e+wA3XP9co2wdA0YPcl+9vXC8JSnpbEbTb+dthtk22pkur8xaX69bH7satnsKoOih7xfR7rea+GCURq9uzBTZne+N8cCx1iDfpbBvT8V5D+DNGigPz6KaTbRyJXuLswo0avNDvDbQaz+rYWxSqQabra49Lga02Gs0oXVpYO3kq/N/F1gD7rjuzsv9Gei1rMI3kqnAe9w70YCxSbLTNzkXe70QigRiVzbFzxfZgkm1OnOeBZtAFoDmB+luv251pkFsPwkGhpqjb2ApGUEW5PYd0MvGgMPuMUQACzzEaeOyzTcz0Njq9O0eSs+aTjLOFHGnFULGwsZOaJ/jQYPVQntbGqfM/srL2WF23y2Z43osewXltg/t9ul2Y9LWKluIBXzHSbH3agrQnTPQAm95tShtP6Y9a/Nl/T0i3OvD7rzTCDo74vs+n8lrLunzoa1/f2aNQBgKTMKBr82W1KhkvbUzM29rzmuH9wr4zZds2grassCsj95Rx2V7zn2GPM4FuRjDS9FUlfPRMoUe5AEsLaz8uccxBKaM4eTZZBHIjkMtpWx1+j7s7Zwxe11xNScsS5BWQukBvg6BgX/ne2296mzh+7oGRYHT090f4ZjJ3v3LQHDf3AGPSj8w2P7+OqML2M+yier6WPvaMp/chXoBSwgokNwWmh2pdeLZbM6v0gvWu7QBg7s5E+0awytcVtR5xV/n+vUzuXNGOgMvz1br2bSuFYhgbVc7NJgpWu6Z5eheSP0og2B6n64Kka+CAGXPrfmeA+f9mJw2mI/k1YdMpbW4sI9XelGIKIKhf57ZEKcKBsueOjquzBa4qE941c5IXO4/CJqCInjgxpe5OUEAWpamOaWWLSb6mVFP50ZHbRldF0sAoIjAceT91gq5GPK/rMzkDP31hqibMwbL/ujYo4luPJ621xu1CwCdrYWUGj0Q5Qsz2xnJNFt/w3uqRHbk5zODa0HuAAMblLQRJQourlzrU+g6I57pMtQ/TdUW6N4JMicmBbZ48qxNNcd0V1tFxyfRbMzhKDdUg5SiSBOz3xJILcPQQfsEWQvihxM/xNtoWM9OWbNRDnc7g1Jw4HQe6IhFhaKijkLk1DbgYhmOUFhXIhVIHSCZ6JYU9o3rny0o8Qyu0TWLUQVrD8xvzWHKvvl7tsxEB1ZF/wCkl4U16seeGenzdTa6tS4K0loqCSw4BlomKEzxmkLv1ErVJgjXRNE8C+mvU6XaqwVPV+2MSmHmsNJxEYBK0LVAg7UQCrL1fzWaPtvoMJPf6uwsoNBaGQwEo7ZbX12PjHQxBkCjl9rB3HUmiKJbNqxLRMn72ND/+U0wRT/audcCtcNe0eptnWJL1PLaIepfWDcTZm10xEZRD7LVLHtGy+j4MlpbI6ff+7Pv7BF74SDsMsmWYdnXb3GOBJ5pF69dXlY0mWkA8eGEdP4c05ogoii3BbUYDTgTcAk78Aq27qQCw0cFJlK3CHBJ2wDcSXEBDz/gag9M7wmUuYOUzobML5ZlWVkn6I44aX0CPTIaC49n9pctBbG1pLN57+zLrQVHvKzoP2Bz/vH/4e3PeiRZmuxA8Iiqmpm7R0RG5l2++y1sdg+b3Rw2Bg3M0/zg+TfzQgwwDzMkm83qKn7rvbnE4u5mpqoyD0dEVT0yq1jAJdqBRGZGuJub6SIqIufIEbB/5ETqZ3zZ+hqvtncskeTPGjwxUgZ77+vdHNJW+lA2yIXK6Lg79GBvtHdNDZhq0upK4JMpHk8JmpQIqOstpMjv2HML9ppdd62CJlrDc0iWGSreKzignBLWDwn5wPPTM+11YeuP9GpiMbaV0qWj9fECa/Ng9vxKdV62EqGCcFgNAbfEpddtQrWpKreWUo2mLNb6DKx5bswSZ7lEu5fCxLJasihI12jIlYmNGKF3xz5OA8Nl/nRF2B9sLwnZALULr2iiX1ITboSdpQq2eyJcpGUyEZTvY3P4NQgbRShZOOt72odoIj916tRLDwyc8kfV79hrdXe2sRIvf/JkjavYNxFOsmfICrMlZqyEuBZLUEbUC39ZlgApiul5b4kdwBxj/7+b3K10ZzYGO2tDc+ZFrX/rkcrZsQximOZvIVfEUhBf2VqsnhbgtAApsLRrK8Bq4pvBogFPcjm6G0NbE47iE9XOaArhXqMaBMUSlfmYcPkNRZXyyc822jHWqdJvCbvVC74A6dWSGD4G5vhPr1ZvLkA13QApQPB78UTYFBuLASIop4maA/ascS1sTRZAdkJgC786BeAYIe94Rjla12qqS0W4cs3rYWpsjbDRRtXjhJpH/wg4/jHi6fV7TBttqwagnPjMh79QXXt7r7j8vgDFdSSk1eUun+lz7HeCa4oIV8HdHytOf9nx+vsJ55+4FqYXrp/LDwGX74P556xlr08TgpX01CR4+ZcHTD/8HnkJWD4yDjj+Qt2F6/cUsy1H0pxDAZaPaHRxMgIV00WxnwSXB87DdNYmZlUTA8x0YYRF6iwTX3EO2O4D29GsiuWzdYrA1JDo459XaAq4/HQw5iKT3RAgvfI5r9+FhpZ6BxadASAi/OFdY3lOTyC9PZMC/vIHspzS1ZHnyoQUaH9FBWHlmXf+LTWPvE43FEW+j8jWrtPP0tMfyaa8fs95XT4JphcTurKkTtwENdIW16DYH3q3GI1c48tHjmO80kefXhT1I9fM628ZcN3/MePd/74inyZsj13slHtVWa61MugOO5kPGgT7A+/1+FEwP5Hqn48EitQi0e2BpU4tQaHA/mBdXBb+rMyC/cMR5duky69evx7JLQVhh7WtUWBSnvsCSFDUQ0XW0CkS0BakTrZYagIpqNqzMABuudpzr6EoB/RsOnxRE+XyQu+x/YrokMX2DHKp6EqUtdd0WPYPwA0ya7cxfKk7QVb3uu00PB7QGkpEZNiycI5yq4nlxEChnJJ6r1d/Be3iHHa/su08CDCjmrQ6Yq9Ba84ZwGvNE53TbaeU/zQB3lppRG+9b2yMRIRWKlbq+QrsG+TuyO/weZgZ3NYJrEVInuUDW+xahr9lC22OmqE2Y5Uu1Q4M6TU6XmelaPViqAGxWErM0T9HRsSUFC3bTIoKhYLiptDNMsCFaGe1gCTm2qjJTaxkbFWwyVADaVOSgbpFsI6V8JZONBrUTKFzJBnQLM2JKcqguCqdJA2C6ZVJlTLbYdAo8XT8y0KaSF0U6VWAq02ZCKplGmsCpif0ejBrJfRVjVIpnP8UITH2vTFQvDQGSI5WjyMtIdQC2tbf18Zk20kX9sRJrb23a5vL2gLW1sO2WoGH1tvgwa9t2W6FvSdrvx/fV7ZOGFCbY+97pRR+p4uGjUGuCDDPXOvFEl2A0U+lqbVr6sY/Hy2Jc1A7DNQCDoFYECC2zoMJdLXsp1p90rn2WjbAask572/XcqPXa0RrcTWqy47z4gmJAUWxrzWAarAF40uEwZKN14268vlKRc0cmSA8ZNSdNeFiTkt1sbmdQSzrCHnghuCJAPud5zoiHfu8SE9SmjOyv1OUw0CVKkwsiLdWA+jwD+Ugrf5RTU8/l470jM9Zq9kks5F7QRxQXr5Icw17YYKoGJ14RP5MrIzUyNuA1ibs67F225rzLQr19uWJICU9vdmioU0K63stgdOSOgMTwdbDeP6MSSipAp37+qspoExsk+et/8qRa7wcFBFCZ67CFHgBRyJou2k/4moCRhfrt6ro9NcysJtagtn3nN3n296/dn9U3XZmhbQ+3vlkwVXleRTWQJtlgTsACu81UbvUk9jjV5z3G0YRE0AebKKhNgHGUALgSAVphgMjyZKT3MfDmSdmy4/+M6tXsxrfsAMxO6vHfSHeB5MwNv5rZgLbykL8eSQEaEiAcF2qIc5tz1gdspiAWqxASGKsuNCeCbneaqC8YZeIsQ7U22DBzlpnqUm1gG5AGM0/coVvtsmyFlsxoH53T5qyiYO29arKOXub0PPyKjvnPdklO8tkdJ6gd3O/PwEZOZFJ4/V96GxCf1VAJ2VgMazzdFEsz442mX7LbuvdWqZpko4qDb2U2VdYrF5bODcCJlCTIDqVOFeElwvX/uOJZQNRjM0VjPWl8C3rvbm5TmwsUqAHX9EFTVNAlQEsEWB6Nvq9rbEytwoPzE/skbvfC/Buh+4BdU8t4Rgy93orK9zoYy9fMuZfznj93SP2OyYk5yeeBft9V8QlKKUUYnR9ngCsj4LtIZoIEZNF8+cVqGqBk/UpPipwERxetaG8AFkR6VxR5niLBqo29BjgnHK9MrnEPFdofZDDLkiXgvSyI99F1Bgwf86Y/vwF9eGE19/NFE6KQ8JjZ3yRT0JQaFOCOom2Iqv04M+DWbMrZaZIV0NQodaRpt+3RmcMVJRZsD2wlc/0WkHaLwPD/Y5sqLgp5ifFpoxxKnhP01mx3YnZK/PLVVAW81kParoEoE9bBdMrE/Ots4DZ2nwKeP7vImoE3v9vBenv/gr5ww9Yv/PykZ48YkKNQXXcWJ9dU7et04vi7s87yjHg/H00xqJd5sB5CoX+lAZtgl41OgMCKKeEEv554euvR3JLQavBrQDW2B0NBdJrQLr2DIJUaRNeE52ehuBqpypVp6LY71g4jd6HdaL4U1zFDgRpsDvAhRDezf3QrUq141INSenZfcAdfm0OkQtLiGcKRSzjhl5zMQTMrY2BH7ghMDvhDodxQNQO9nB3xNj6wSk6pMWaLPwohAS0wBWqCF9e2nc1YRFXCjbVUjlf6TCJQI6H7miUfr3WnLxWOniBiK4CkMMMlIry3R32+4T9FGggF2bYykFRZ7WeqnbJFsiDAltO/ajcuBQc0CaQgeq0KXPYVE0NMTJruWY+l413a/LuWWxxh5pOEIMVaQF5fU81x3SupFqYerVOJvwA9ADCHOWGNNzUcFrwupqjqWbgruwrNvZCg//xjyawhZAV6Wug5H5b507PMWRrN/SwLKyX2e+4+cNqsvwBqJuNtQdFJnDSXIM3lPSGdvpa9LV1IxYytInwa4BODtxh9jWt2lvyALbmK1Dt/y7kFgJ0pFZp5djxl/B+zbxmbc4+qiHN82wfs8SU9kSOLPa7dWPNsVHqRASa3Lk1VQlJXXipKbin20DRkKL9Lra+gNuDGhWfc3HzMqfYkfZomc/GQFI0JdW+P5QqmNmfR7uDNyC5LAMZ5sLGmO0oYnM46+yISk9YAABsLchemJAAWpsJbN2BVKM494VCBsLrl4VJuUpENqxdIIfUMEFYYc41f1YOvg6BvHUkYFyH1cocysTMM2vjFHWpUHNCNAQTKATCHhCP3NvxaO1HTJQlbIUO+qAW3ZAgYyyotycCW5wgSOu12T6zFiSzMaTZB7jK+leCgFVxI+TklPhRMOrNy9k78nplMm98TxDQ4yi01cvQ69K/09eKT9G6A9ibvUSMZGgEu04u1u7N2FWtNQ/7y5dDQjkl7PeRCO4B2B8V+ajQuQJJUWLAvgfETTCZQ8ZeiXQcHbXtbfMGW9PoyOjnjVPrfA22P/05nUVC0RFP8Ng1bY17Syeg2zyUudUtti4Ktbbv9zEaazrqITHIfGa9iQZAsmB6pV2nUJMLQKHV20GthcnBky8Bjvh1eqRR9RK1SPLJacACr0/XQCcO4P7ZBJBCJzOZvRQLXuLr1lvpeCuat4GoD7GbVj9X/X2BNp4ijwFhZzlBPG+3goHCcWyJtwDUxRgF6uVOYG2umxxvxWiCes03Cnp7m84kilScjtfcfbAK/s7pylUbCCF7oTp/ipB6sIoWE6mcE3S+R50j9nez9f01vYpoSXlTrXWKuLpQnZ1DrR2goM2bB06ecL9ZcxPHwmnLYTP9mCZeSn0MDQH1RLZCvGbG+4GK/ZIqgCO3/olik3UJyIcAFyHzVkcaxVDiLjzHTiI8D9KXldolNVHNegBnDp8qSiTiidCTK9Mz/ev1A3D9QbDfK/QaIZeI5SN7yu73aD2eAbSgUApbvmh4gEbB/MRxXd+bL2NlPWO5kycR5qcuvOT7Zn3HtXYyXzudqYxcDvy+6RV4+Icd8ZxtbQL7XcL6GJtQlAZTK64R0wtRXqcpu2hSKDDKOoOv418ZxOdTZL9XawuoKaA+nFAPbGkTNyvhCtRZySeWGEwfOS5lIZu00drV64LRyhrXh4B8x/0/vXiS2P1Bnm+8jgJqZQ+ToZzGVr38EK1zjTTktZVsRLXzl8+4PxhD0GrPxzIrL6/ydR2vgvlJGg0coN3SQJ2AtBKBlkzsbb9PSL/9HuU49XpsKwG6fJ+QTxTwKkdgehIcfy6Ia0U6cy3vD4JP/7Nlm9x22jKbvyiWL124VQqRYMlq7b44D+cfE+o6tOX6J16/HsndMwduqtBrRLiENrlSBNMLnRUisZZ9M+oHaTvaayBqszstE0TaHzcnERUgf6AEdvll5qbzxVXRjHo+CDQka7vCoGoyARG28GGBv4x9ZwEaTiWNUxU02CYAJfFIeuXoOLrhby0g0BFADWjtIQAa6WAtge7u0Oq5ACLBe6ZIyALLwOabw0wjM/xy3VA/fgJCQPjufatFFRkCxZx5j0Egdyc6PI7IjQGQtcGQ687nnCeUB1KnXTFwf5ewmsx7Wbhx9seKclcpRT4XlD0Az7eLLl5vW88wq0X0ttcwAq0e1wJdTWwoHy+kF97cb0otwK2myqgmPuEHgidIqtGqpQJzMlXslUIPdQrAw4H0L0fjc2+1pIe51fL4K+wKWUOru6TzbwmW8dxsBSl9LcOcGKekbffuvZnhXbpB2u+UNUMHooY4KHJQxJdICqihDMyKSguI6hw6bcQDqGHcALTASvedDvE09d+h+Ui3r8qWSk2dGjBktvAMM3EncSTDmQUu/gSwTsjb3HitZgq9p7MHzo7ClkJRpGXmM5yvXZiqFMiyQO6ODIpfz7y/ZSEd2gWnSultoMTEq5TCNogUnNIY4bWSNREp2k9E0ctRsT9WOv4+MEZpBOzgtsx/ujDInZ9LD2iVVMGw1baXKG5TrEei9rFcN9KI3yJyw8sTPOU0t/Zp1Wr6wlq7U9EWrHgJ1G2gZv1D1RNiI5IbA+lKn7y57O06b5deYZQkTifXsNnoJk5Epkco0lsbTDwL8hF0PGfrSTlXnqCiyHGC5MCyB6P30zEJiLsiXpV0v5cVYpTYti5rBSLp540JYjV/RFZ7kgQTEaNwJZX+RsDJUXVLIrbAbWQVtDkaAqo2WUPSoSrUmA8iQsGvVsJivNXMf7eyFQ9QXGRq2Mu6bbTt3gpLBLrMpH4+nfm7FJtoTxMnNOGaYqJf233A+kjq4v6+INztlp+tyFNCzhPqauUnmfOdrkS1ptfSEpetTlOAUM22OyOnoiWCYdRrigvRrrO21cY10MEsx9RrvNq5bEiOK2oaNVjmAVk0Ab3wynFvyKCt65sg1+jG07M5sMYEm544HfsD1zMsJod6UApsj0zMSJWGFL19lQWkyp6AfGf01gXN6adgnTEgdFR1xVAvR3qivHBO9cf3KMd+xlIMrSOnrkHiVHzxdnOJrJF4LvR3oiB4QuC8dvG7Wjk/JsSHSaDCrhb5EHubP6unRIXRpY1RMYgQujYGnHMI8H2LB8Q8P1ophQj0MHGfvl6g+w6x/SnrDr1c2C6rKGvDDTWtp4R8T3u43zPpPasi1WLCXvQB9gdt5zCZJ2jBdVzNrtm56vWgvYtBn9fe1xiI18z1tllZiAeXe2b5xDxBHxba4ZcNct1RHo/I9xNQA4Kt3XKgkF0+Buu9Slq0qJKmCQYi0YPpTCR5v+c+Sc8r5PUC6AFhighDOdfxL1fsM6OfOgNqQkzpzGs8/esK/LCiXhLkEjC9CI5/47icf8/gN15dhRdNgOv6g2B7SEhXxeFjxfoh4PyT+Sv2IrMS/QzZhKJUL4Vo5ESUcns0H97ET6eXzED2lCwgVxz/f3+BPr3AWwjqv/0DXn8Xm+CTBuD6A5HJ0x8F84tCvH64WnncRkQyL4LpQro1WwglBv/FgrUI5PcLoMD8xA1eJqfBJ+wPAlmB0994n5//1YTtke2YkjG5wkY/txR+Lv9WcP6dYv4iuP97R3Y5VtV0XMpBkE9MiJclIKy1dSvZ70zgdQbWHys0Kpa/RaQzEwwF0plmgTYqH82mhmEBg/ZltEPpChz/aoG3UfH3Owbz6QzgucdiosD2ECC/PxmKbSyRtaJOAfsdkw3lpJbcY9IprAXzK0HC828F158KwlWwfAztXqDA4bPi4T+fkU8T1g+kdc+fKUibT6Gp4l9+E5CHZP0/9fr1Qa4Y//ocES8B8TxIlCvVlP1wEJfH9qJmgBmpoGiqnWakR3GXallQQvkKVGGDbvD/kqVRTUhLthqLop1mhZ7dJIxstSJ+APtL1epezAB73ZVI/6zXI/rvga70WirrDd8isOP1/WdjD8Q3yBuAlj39ms4V2PsSgAvYdGq30BCMwXGQr+/F77vUrlzbDqPQKK039+OZzmgBWxbWp/qE2yHdnXzF23YcLn/ucuCuQgm1ek2jm7Si+mSBSRnHTboIjX2PQlqrl+q1Cob+t75s/gpAb3EwzMsQIOq2A2XwYFSRrmQmtIPPDsgbyfUAeONzD3QF/FstUePBPcCx7CJTaEIRGgCdzAmsNt6DYfKsoVqmHQDipbBuy9AseROkjy+v/bud4G+stcZWKFAh9R0hMECqvh8MGdXu8PKRa0fGgxDlVRu4dvk+17c00NC/H+DnY4Ag9QCk3CIQpDdnJqJcDMhfHsC8fT6gJUzKHGz9oAe1AWSpBHDicgC2YX4HlMtRDhdCgSNcqm3uRL8xJ3V4/m/9vgVbrPMqx8j2I7O09j3BEhxtP9lLJkP5BvTsm4mM9gHW/6QLBtqjOSt+GAHdjiuAfLu/uCb5Xl19q4kd3mKUJDTvUbJYLSYg0ZwE62XoZ4G3avLna7Zc1dDveLsWrFSEAah0W++/H6nGLkAYw3Aw9SB1bNdzY0vH/dJYMm/m0H/vwj0xDmUyw2voHX2D9r4VKBPWrmu7vM8RReTG73RbOp4xPCtg9C9gpE+rCRsWDSzvqN3OtR7C1p7DA9lgXRBqEz3q98A+77Yg7D40mrhjMLvpLWTa70MTOXS0p5puwVhr19qaeSDs7ZsM9W5JCT+/35xnFJbkMyED6sKVOyw5Ba4bD3CHPJD3hdcE5DsXeUIvvQoYgnRYYnKwi95ntAVTvCbn0f2jvu7U2t+5kj5GdNFzMlWBjUKNXaBtWJMZllQf5tuo8Zr6OlLXCRBHr3wt2Xk+7rGgaIJQIfafW8Li7T4TT2ICN+i+3wu/P0COB8jMelONAiwT5N1DY1BI0b6O/GeVyS9fgzWFLl7kDnoEarKx19G+KOBimb7mwXmPb5IYN3Yn2HNaMkenSKGsKG2PB6sX1sSuFd7+coj9m9/iNZawkj6W2fEeKThpQcskfX1V5fUPc6f+37B/zBea0dYaYGsvAeEqyE+TJeD5fdlYCvlOUe4rpASki3Q/pKLtf7X9SSq4DgijPeNA84UhoUBE8WSC595nweUPd4jXI8ohtPY9nkSqj3eQKUEPCzQF7A/RWvJQh4d9jsXspX2nkkbdhNeEzNF8snVWUxvDoMZOyQzYwloaU0STGGocsL3zftm2pjOpwvTPbL+aD1iBth7jlQk1Txao9vPT50KKYv4SEK8G6h0iWi/jVTGdjUUSAupkz5nMFKivcy4sKuNr89kbCDj+MQZaIAmAW9bGq8aAbEi6z/OIupaZGhbex/6GcdPWh435ISKKCXgaEgvwOvu9Nnsqhetje7/wni1eiNcM2TLitnRGzVWB/7NaCGFKWL5UHP9Lorz3iwdKHHnP/IwKadXFEWzQqgizLhgcK1swNXFje81QTWC9ZI68bgKwcSF4vUsBqTnxUuES44DRBNfcKZaOZADdYTFEVJ5eoU/PwPEAfXfP3207ZNUmZKE5W4sCBpaQALlcIVvEDZXsuPQaKneahn6tAJh9L7ZqAXPqUztsSGm2750S8OHRDrYduFwhxwN/7iJKQD/caw/G1ajJTq+WbafK7boTDZtSa54ejN7dymwCWiPrsAJSAvakgFEsXLTDg7uQqVzXXkbxCXvFfpesb3IwGiGQ3x+aoJfsRM/qcUKrK1Kl0XGHqjmpzNrtd0ThyoEUPH+RJmOR4fhyx9ScoeYYrRtwXeGiR7x1CiPsf88eaU7RbL3lTDHPnXgYyneD6E6s53JnCrAaBD98FK2+WZNCTxlhqqjPU+srrAnQ4llHoBwCNkyYnnZMP7/0gCmEgQ47OBQN2Ygd4Rtfo+NudeVqdYWoVL29fb/V4o7UWqcVx9idH6cP5wyUbOs7ojEd3LF/i/La87golSMBKIVoNABMibXGOQPXFTKzxrL3gh56CA4BIClxQFkiyiFif4hY3zH7D7g9UchcEVNFmgrWy4TwFBE2S+C5irLPSekUtpHe1wRynNYaIxTWUmx8mYMpIbR97xTCekioS8T1QyKlPaH38rPviCvXxfxc2eYsBcRI2xHOWxfbugmsh3uIAfNLxeHnCE+kAIPtNifen5sOmL3HbPr2QMHBdKU9CNlQMRAhc/qmZ2+j0ZjKXYUurM1Nr2g1jxpI/5peC1wRVvba0Ce9OzQxOadeympJxzauxmKJEXqYbta97LTjEgcn0YMi1Vb+0UTB3JaObZx8/a4bx3SeTLGo2FukIbg6T1yLniwNAXARm20naudUzfyGbh6s5ZUcuqAcQDqn37PT8F2/oLUX0sYU8Jo0T6xJEegeoF6balTlsNFRjJtiea5YPu1NaE2qteOrCllSE+Jp9eFRoIjQCX18bGPJHqCiTfCN4pS2zq039XZv4m/eo1MAWMAyf2Yt2/xKhz9dMuLnK1FrP9NdCyBGroRhzuN5t1rALqLGoB0tyHUH3m091WTdceaa3t4p0llw+FmhsHrEiShtXK3OfLUxMdBCI1CXCqkBdeH3Rwuuwq6I19ooqwBQH09AYRvFOke2J9ystnmiTQuXvYtRRQbE+Z4tmdKXFbKXXupjf0PYpgeq1LUw1DS8XOEtr9j1QnpiyZgQrq4crBUWZEGdk5WK8HfOsBKg+R+tVKAxjCJcPK+VjPzAgNZrdcvdgnJMCMWE4fZC2r2VJ4mSyTI98bzeHmfs9+wd6tRZPz/zUaFLBWA1ohYEoJLl5UrhouyFO71ynPOBPkfYFOnCscyHSOXXM2uO87sD0UcXX1sL0t+eAVXsv33E/jChiWxqB3fWd6H1gWWww2CgKTubHRZXrW16M/Q56hyB93fNV9Tc13lZIvYTEdMbVqRRWw8/C+SvCfs9sL+rpNZ+D9SoyL/dcLhfcc33WD7RLjiYFDfuvzoB+8HEpe5t3z3FRg2uc/dt6qS4/CRY935mecCzPwB//n/Q9z3+WTA/c31Mz3zG5//pEaKk/dYZ7eybnxTv/m61pP6M/Z6MvTpZPehLaXFBnYgaX7/jc6zXiHhV3P25YjoXTE876fsmkKfHGZff32G/j/j0PwWsP1SbM0X9W8TjfwLSueD9v98hqnj9wxGvP0WjDocBmAGOHyuWL7yH/cS5OKys8c4HzlE6A+//fbV5o42Oq+J0Udz9ecPyH/4CvTvi/K8+YL9njez+Dm0sqVFAW5PfGQMtKJP0e0A4x97+rVDI6vBJKY73gYns5UslKvsvItbv1FgligBPMlqJaeV14pVzXqfQ/IJo9+C9tdcPEVIitnds0VQTgUmdFfsjhRPjpwlxBS4/Cfb7CdOr4viRNOfw6QXyekH6/oT4GNr6y/sb3+kfef36IFe52ONKw56ufjhw0EeZapcDD/AMgxlAO0xur8v/e7bZnSunPhAQ8oAYN8FEQxv8Z3UQBhjRkjdZ+q8f7c3v6xAIidX+jR94U0PXWqbYd938GRFcoNPtvoU0fetl1NBG93nzu5trYnjPjRPHQFuMqidj0D1eyx3SN7fmGZtaA7QKQh0yOcOcNMHtiiHwsGcQ9JpIOxSDj/P4CiAVK3QHtFFADRWuSbow1ty/W7UbRcmCEKTf1PDSIBA1lOUtjROwLJ/VC1jmzrNxjuxp0O7kOXDkASzQMow3mbHQx0q/Nf2+1sdbrjCkBh11H1tW3WTRhw++XV//1Hpz4aghCPL6TfkGOvL15/10tjXlc9dqEuz3Tqd8i7zyh/0eRyRW3vz+H2OuvL3HMfgdxJy85qa1LWkPjDfjLq2NSkdc0JFc9Pd/Y4n1ew9i2W7pduON+JTfozoS4OjEBPsjTRSHtUc96+oqrxocURvWhD+7ixnp7eDFjajIWFPV1ynHKThDYzxnotukwVS4E4lu/8evc6QQYO2v1gFBHG2Ij3Gho32LrprjXgXIdqaM8zzacf/Mm2Qq57b2uu03QVF7jfZ2yGDftGKyNdnargS5ndc31x1rr72cRESgbrx0fNZhX78R52EyWfq905fvLw8kBLd2o13DPuPjaCUZbs9b+5pgyK3b9nau+fiiOfN9HbzZr1ab29qiiAccVktmLaYohGUIhj9atkSrITY3NrONPTqLxL/zZh9bfeoKowWDQZtXNxjKJ1VpnmR4nuFMG5P3N//3YMaPmvpmm412xfeAn582pt6mpq2jMTFjZ0VHy+nbkAXAPdHQ0jYGQ+LM15MFpN/0f8bvrGqaH2473775DePA7klc0X30P8a/reVT/z9YKhXE/CfAWzMBga0la4VK7PvKxq8pGxt66bYPMP+zrU/FW7vefcU3drvefuQftek+XgHGXwoQF01U1xnp99LWeuyIprefcr2alnSpsNpM6YbV18lbP+ntPY3rMwymrfCPq6N7WxzB4Jso4PoZ4xr3Z1XRjhJPYEClRISl0AfTSYGCJjqF4fr+HCEDJaKp59YFTTnX/SrvPuF9vH3f+x4A0PQCfG8AaDWm3qLREWeAAp5hFFzzW4oCiHVbmKSp/2q053OWETimTRTMfbLAe+Q4aLuft0iqsxr5nYCswHQmMLc9sB53uhgwdC2k7ItgOmdAEsIem42vA028namGprdxNxbseK62BQE0+zrGT35OOCuymtAsx1Iam8GFO70rAoEwUuPzIs1WN8BMAA0KiRU6GJNq6yDs9h1RmLSdp/YsTit39fj/2uvXB7nXDfNTweGjZU4unOR8CM3haU4fuAjkYufpxIfa37EGzpswA2hZ5ib6ErqzFDZOFNEEHszlgAbtBzMudRLEa0U8Z9I4d6vf8pqRwWHwGjidEmtJHk4IszWwB/rhafQZjZFiIoelH6J+HRe1slpc+af6OWWjs9yfoEvqgXhVIl5Ab5/idMNSe3YfQFP9VCU6YL9To6+0w0ekiZro3REeuKNULqS7I3QywacNtnkCyiFgP/Y+XQBQjjQWkgXlaYasAfHS+2w1MR4XZzClNk0BxTLjcWPvw+uPR8ti17bxpFqtrKG8OqfBaUdz+DUFlAMzn+ujKxJ7zRTXh3P41w04fBLgi23ArXS7HQR6OKBOkY3YV2+fZGt3Sgh7xWSS9O40t79tnZer9bWNGBBBCxggrR7IM53+qhMavUQKIBDgElH3gLCFhjYEQw9jQxCdGSDQ03LrUKj2Ni/+LG+TKU7pG39mrYAcvUUQYFnMkNve8Ro3c8C+er8MpkUrYC1uZGZbK11X6LpZwkpvnSxV1h3F0Gh0UP2KDk3hKru+CIWolhkeVEsMVC1v4kB23xOVaylKFDGqZooXmPohuQZUJOSgyDEhvCQsn63VxLOjSWSN9HIIsLwCrBGUav26I4BqwiBFeB/O0HD07W0ANCeUuxl1idgeE8ocsN2zvYLXwHpvWy/XiFc0QTMArfWIhsA6t2kC9h0iAU2d3fuqq2J+2nFqbX6G+xE0+p/T0Jw+pOItlojCprMFLf5ep60p68sa7T4AxTzHcBXontqeDQCC1YA2kZe1IJ55SNTTgt5T28RZ1o3r6zgbAlXpmBty2uixQEN9dUoQOfYxHwNJT+q4ur3vk8Y8sL1TbQ1PqSsjxwikClFDjoN/bwZ29M+HxJpa/91biq2fLVPi+q2Kt9T2JlY1vFgbaUhkCKiHiW1Klj6nTp1tDv4WzDYK0suIbHFtVe+CYN9dlghR6jdIrk3RVoIAc2zon1iQJLVCQ0B5z/MnrBnhmq03Nc+xfGTd3PZA8RJncXmyI+xAOVtCJxDxqjGg3s9owlMuZmjnK8emj4+sG45/3RDyRLT4wOdqzJxms/kqk6FVCdCjBSMZmL8QAelOtQUlU+/HqtGcOttD4SqI14h47YyF9NrVmvMpIJ0r4mW/uQ/JFbFQyE5GGqyvraBtTYXrxlpzR2SXCTp1deRWR20lK9Mvr5CnV2un1sWhIGBfZxHEy05F4BAaG0LnBMyJLYKer+2eGvOsFsi6Qa4b9DCjvD+htTryubBgzVtBVesAEdYMWQuCCJIJZ8leGnDgDra3qCpHthfa7wP2O9bnxnVw4s1nrCEQYd+G8jntc3eTDHEbaj2HWTtLBHd6MV0FSxaErWBSbaUvOEaE7+6Aqqy7DdJo9jUJ9jvWF+53pnPi9duBvlXYBce/UIxsfRewnwKS6T6Qbkohzfh8RXi+QA8z6t1yk9ArBzIe42pt8N7RR378TwVxVazvWQccV0G8Wj3wMxeqlAV5mTEVdIVwU+HNd0CdxcSpTHy0CCQH2o0d2H9fEL9fkb/MmP6cEK/A8S+KuCvWd6z5dN2WMgOeQK0TsH4gsjm/WButM31DKu+znRG1MwSf/s3cbEM0CmudAd3QakWvjwHZtTYWjsf8xLOFta4J5RAQ9hn7HVsMjWUEpz8pDr9EpLOyjVQhmr9+mHB9PDD+yCzzKTPw8gcmAacX+44T2SjTs+LurwVhVcxf2DLr+uGEfBSks2L5vKNMAdcPM8oMLM+K6aXQPv7L37EG3krRDh8r0lVw+VGw/q5CiiBcuaaXnyPPZTt7y0GxPxbu542dbfZ7wfYY7f/0H9aHADwEtiz6K+3/5Qei59ffqNH9A6YXUpbLQopWNbJMulJcthpyXhbg+iP33/KJ7ajKUbCdMn2gLxNCFqQL2n70MpDXFBH2gO3d902XoycXh4TPf+X1q4NczRlxLUjXSKrNxg0cyhtlPaAvRMuuZIALWxiUhCDN0Lu0dV2opMzgR9rC8wBmpLS1uhFDjWsSRAXFi7wmywJBlEIK5Sh841SfKDTcXqs6ClgIaxl1ibjpJ+qvIchVDzD33J2hsd+nIWVijlY9TAy81tqDWbVBG51fEwICLAAeayuHoKVlfwfqNL9bLFtqNSNAfybLjEqpqBY8t0xWsOy+Z9EimK26itE3pYmK9YwVjXowEYw6hXZwiG3COpsIRpXmUDXV5T3TaRwREcvWeqDLWkqj/lrPXjr9TP1IoCGTmb0e04VBY0PTfOhMeVSuiQHAOOYxkIaUQWfbm46/WeO9FUR37JvystVGtKx96J93KsgNRSkzEmDQ23/nogWuwAhzQL1+ufW29b7Mb1H88d9e19rQRQsmC/eIlsqeqqa0qXvl/MV407tWau1DIdKpyI4Ce/Dre87o+UQipAXMXK/2OUcBgB7gurqyfwcAV3RuIlYeEFvQoTFwHY3tS3yfRulJlZGB4I+S0dsqBTqo6Uynh72e+e+4eqLA59P+8absWQAGm1roYHq7srdIhwuEWWuOMgdkr8Odhj6zizELbL17Ikpjv5dGyQ+AIvTniRZp1uEmKwPJdC7WauT2/kPsa7VMTluiA1gscxw37pOaeLh7Hb8HxS0LTkZ0DyZ2Rw/REIibGsWit30x71KnDPtz5sKaNRfO2wEBs8WSOPZj8OrBqU6pXYP3NlzXyz08GTQoYH+FpIz2PTDpKflNwDqia/5537t+3bcsIluzTMrk/j5Hn/09w1g0pLlykNVs5bf0FvgZoukhSxONaer4HisImLxRT+awb6oniBTg+akw7QRjCnm/3KJstbHQpoc137awEdz0UGYvdkU5VJ4PRnUcg0fYvdQpQqIiKEuONIZuo4BexgMAmcmSOQpbh1gyh8+BrufhAe+BwYAYokUKPQwJRttr/u8SzdGOAzXfl4it8TCUO8QNDZlo95LrTaDtQSAyEzfyLVjRz39XKQ4BOp1az9Y62VnrSe8ptPHQ5xfI3Qk4LnAxvp7QtWRFu2bi/k20o2JiVJoiMC2cW0vYi5e7YGa50cREiPdG9j8+/73EDAxorf+slGpJK/elbh+9TtZuyhku1ZLJpQe64qJ4Vu7TKLge0Gi3R45ijSJqGoRec5F2T42FMdRFEzUVlAPtittj6iZUIMWm/+C+bjkoyklR5wocKuouKJ8nxCvL+eoEIuO+HjxxtBeWV8UA6Hzjj3pLKkeVy5FCUsunjHTeUQ5H2nEbj7BTSFGU+9jLGuoyJNQMwdXQ79lRTpg+DimriuNpxfPL1H42nSviptiPsdVcUqldWimc7/s4sCwIkiiSBNRCpBTge/d7xgXzF4U4OOPjXRQS1ZSL6Rs6otn6VkfhOS0BslDt+fo9n2P+wrNselWEJ8X8VDB/3lDniO19Ql4C1g9MgC2fgfS5Us37zpZoFkAU+Y71p2ETxEtFOheES4bUamPNtREuGSpTZ7rWDgaVd0zcemIvXWmrrt8LdK7UUdiZ1EgX/nF1Zqhgfw9o6OOZjxQWm14Ey2dYuR2s1lkxvaKpXLOdokKnivIarETJM3ceC7DHcDozOabC1l2vv6dfcPgb5x81Uqi4BoQ1Wl1wR8epgI1G3a9REHfqHozljzf2/J94/TcQngpILzuWTy48AMTKgMUflJOtJuve+ySG3AfTJ9Szoi7QE1ZhDyq79lfRu9tGM1J+MNdEtTpSMmaikwE8ZKfU+/W9yZajKAQmYOHUsbGeNQZIKZALja33D+39CRVwTN7qIpuy5mHpDhLfYMiWZyRBg37dbu+pZfzNQQmsvfXH92ziqOLcgnkArsJJVcvSM9vR6GLR6mJsruKFdVflkFo/vXgFJGkLutJF4DpcqGCriRc/vAfDBBgdJ/YDTN4EwFb3AhMX8TGvc4Se7uwgKpDdEgdAq0tySokjWN5qymvC1Sg40dRgveVFcwIHZ1P2Qlu3btDzGZovfZmdV0wfL/CifO9J6L3rvCaybgHRBCTCHpqzrk6RbkEmuvMj7uwQdSkznbawcQ/JPhiA5AbA5O6jIXjWN9SREy1AU16VgTboyZYxcQPcjEcTpSqVjpRaXa6/72b/KXQdCnWt1lZSYiLGDtdWB58zs1vK4JloV8INvdSMMkJsgayUYshk3z9NLGWMSp1qnjOf28YAu9ecTw15buJUS2oHB+tMFfUqVrsinaZkh4dnZ91+eaKmUQxh/xc6F94uyx2lekiQEpqTYg+D4cFu7ITsFcFaJ4w0r/Fv3zd+nRqpNs61wUhHXLFsrNF++1L2o00WXIccG+JK+qK29ZxCX/sagDjz+i3JJd1xbNNmt9D3qbZSlLgxiSBjYGWvfAiAJtQpwLeeB7jBFZNDoDrxG2E6jqeQFuXKvvXN2h//PSaC9tz7zRozxgPips2wzNDjzL11xeDYD5/za6t2hk327NcYAbltjr2dVKuxVUjZe7s61dYqqSV3hvpGv65TVP2s64J8iuUTk5j5HBt65Gs7XXhuT6+sT9QAbO+8jZP2+bE5HWmCUEN5nV4Orh8xFD1cS1vL3tqIKsC0azHQIfRepIhATRWYgboTlXGbn9YAXBXxQmTNy16iJ6ldVX1sCWe10F5HnFY+zChSo5GJnLIE69PLMUhnNAfZ13453K65dAVwpTOeTzZMhhh6cE57MlAWg28ORTkI1u8PCEURzxkuUKNBkIpCXq88DGCIqs13U8AffubrIKwZYeXaqIkZ1rDyy8uHO8j7OzSVYPHgzsCBap97vKOPdDWbf38klfg4oViSvE6D7SoFKIljn2JLYEerp/P2ga6CDoC1tbUiPF/Zy/5E1WDAgmrvh1x6QlxTwP4+tnNxftJ2xpLlYfNyEdSNbJKwofXjHKnB6WKBlyqcLk6flQrHYSODoJxsL1xLewZNdt4OiTmoIuy0wfFaEa9E5piYJ4pLerIFXntEHVT862RBy5U+VU2CYMnI4D2hRxHT8WXrzAWG4lksMEpId4bin9kmL5+oMzG/aPPr6sx2NHsUK8VCS/Rwv8CADYEWQVjZ8ideFfMvEc/hAdOniPmJc335oWcm4lUbC6iVIijMj9QmWMu2OfRpXedkfq6YzmJdV6TZIIDBbD46Oljg1PCaqM2yfGLN7/JkANObpJ/HLm4XOmMO2O8jrh+ORolHi2OmF2D5TMXm/BIhmXbY9/f2wCB+ewSe/+WEeJ1w/CUhbBXTa8W7v6NN3b47kJm48PrrQ0CNE/IhIJ8A7+NMlWNpquzHf5jaOQ30INHLSOsEhGtg4sfs+/yFYlgtuWbswxptvVh5XjrDunlQ6M3n15NzGhrO0BJU2wMZZ3UiW0Uj8PoHwcu/jGyT9ELlZI2UJ3VxOCZ9qHMwP3XAsrHGdu/BWwm4/DNevz7IBRBeVywC1CWhHIngpLPePHS8FMRrRjkkXH9kH1ZXR1RrOg+gIYS5su6WhscO6wSjOetNsNvQ3RbkqiF8gNSAuJFq6shq2CI0v8kK+rWqjao7Nx4E+eERAn/nbR08uzq2/HDUKlKlEvsG3XYGuZ4hrdWoc0YzMydF9mxZud7n8PY+ApHNZepUR0ObJRdDOGO/VilAXJjVLgV6vrJn6pQgSM254KEIZksvm6E9B5RDdwJq5ljXAtSL1RyYQxo3Ewmo3fl3516tvmrMaIfditqvFIzQGJAfpoYCSK4oxwn744SwK+ZfMqlKMUAlUNhhK+zVdQzQEKxe1tTzknkq9K7oDJ37QXaTBHfkxGidcllRzmfUOghPXc4IH58xXXfU04JyP7fPjnSrkEKjY8WrtTY6BhQXXxE1ZLzXlXiQKy7Qc6C99joWR8UBC4B1QPIi0YWaBDLTqQxVrXaMQjIe6FJojGte140TmRKDTV+TQHOWNIYu4rJvaGhr2/gBuu28FmBBq7XvSfFrdBdgsOwtDqYEhNj63SJnIrBObR4onk1EZ/yZ37MHyI7yqzJBFYT3FgRYV6gnrUx9XEOGWA2Eq1W6mmY60w5RgMZpm7A2QbXNh3+2ToMTK0C1BuZxU9aeVD/QBbIIpLB3otQ3yQYfp9TtSdgrlSvd2FtA0QJceJA73JM56GGSTs8tHpEq59Xoym+dI9ky4kWgW6DAUxQToEGf/+o1oGgtSkjP98jFpirfAsX8AjsYrQzF7Xl4DWxZ4G8bEEQKszChBZk5nibu5Y65hgA92Vry+wwALAmEECCbMolo7JkbZNXHX/taasJPqfeibUHuttNWzxPKcbJelpVJnLwzkEqRdOix17TRQRX4SoiH7YpC61+uwZz6anZ5bPcSApkKN3sSjSHgwYarLHvQ4w6fVODwS28ZUV3sBlzryZzQ6Uw6/35im5aQtQWFLbBzp7eYAwIb80gaZO8PG1siRQamgka2h+AZpOyTvGlLfmtUIChkrtBckS88//JZkC+GJBryWedIE9Ja+entHAMUrZOOmjYmhq03r+nMRyqq9g8C8dKZCkw6SqsZduXpeKYzmk+9bp4tg4x+vZg9sWB5rC0WJRVwP/GcXCpbCbnQUrxkCkZ+I6ghS0TN2SVars5WMeFNXRIkGsVz55pcfzhie0yYXgqWn689Eewt9kpBPc0opwXxmhE+PTGJeVrM/sWe+LVxElUyKYqpKjtdPysRfKOvQ9XKMib+7unCRPPlCl1X+iJemuABtCOshqaWOGE/UbBsfmYw6aiuRgZhQQC5AFG6oJoHU97TWwpL7jwQZYJesB9p46gCy7rJfOJ5O+1c3FTJ9WesxkLhuqKIJ4V6wnlHOMQmUllmriNRsOQrKkolXZYMBUBe2HPdEVYE7qFwXmkL3I98kxxkMoVIadgYKEsFrh+Ixi1PFfNLQT6mBjJNr9XKQ4KNn6GsSdjxwVxkEfrmIdu2yTwv05ljePhIBeP5iQFgmQWvv+d+OPyCHsQYEABw70zP7HPrKCTHHxBla6C4VUxfCtI5wxWQKSqVLLgLyEfuz7Bms3kc4/kXxeFTRboqkoErai0n1VmcdoaLwvSGKrxLyPUx4fIT39NEuFbFdAEOHwsOf3pBPc2I66GfyQK8/i6gHLqqeliBmhKms+L01w2nv79i/3DA+TczA00LUvd7Jtm294LrD1yrh5+ZvN7eEUlfPrMtUZmB7b00VkBN9CHThSyeeB3uOwOHZ2/9I9iP0hLP3pEEyvUyvVKQLF1DCzbJKNR2vvNctnM9sdTk/JOJWX1mPPbl32ZM312RPx8wfY6WHKyW4LCEzqydbfCF8cP2YHu4kuoe/M//WTW5sjCTyECzEn0CGv2OqrgArFYBgUifl+y5A9nbDHHQ0hmoXh+jdqDAF547WlxACjQFxDrbgCks66OkI8AcNgRoZHsJtfG9QT2Bngn1upTxcBRhn64YGi2IN/7mwHEl5VKh00zlzrdtTcZxtACr0c88oHYBhvE7rCZLqjlaLtRkbTOagzyzSlyt35xOiYG29St0MRuKTwxOntOD1dFYQRmpQWrzpWjOv9N3uwiPvdXQWf/jNJcYPNaJEDVe/9QdfJ0dLSEDwO+NfeIY2NRDgloTby+E94bl01NojoMaYq0JVivF3RiPieuz8JriFC8AMs/MsDuLQJV1jFtESBG63gZ8TeTD6s+0Wi/SBFQXNjFVzpoE+8mCgNJw/5aFa1RmoBmOlqkckIMWT0QxVd3uKPO0iM1hF8DqA+yy7mRb8Hsj6uRBZIzA9CYA83pX/5zWhqi2cSp9L8k09WvBHO5hKYlThwHWaDiiXAs0REg0pOtb7Y68HYVTb+0ZZAxEWq0996AcDlCzWaydDC0RJ4bEBhFotsPcsulOX4yeJKnoSRxzdEUFtTKgcLaKBvtMQ4T9WgrJgeriVqfo4+Nj3dRQBV/XoHjyo5DKxn1oSSeviS/aaoKb0+rz+HY8x5fVvqFySXpttAgAUx51oSCKFNHriZveOFhShcmmSoTA6fvuQLS2KZ4YiG6r+QrwLD3fwGQBKbdei86Sh9Cfy2mYTiH0eylcl62XJdCc1VFMsAnzDKjrWBdOWztkOGwftH7eg/5Bs+F+luibMRfpis3bQEEe9pOoMiE7zl3geXZDgR7Fq2w9Ob3Va4y95U8w5WQAPclWtL3H0RlvFzTqDgSrOc/LuBj7PBJxNQGSlZTaOgXgkNr+4n4ULhUTBxrXdyhqCImhyptA1kDmUSW7QszBdISFojSxJy99HA3p1hShZUAY745AkNYXsjM5Kvfo0LYICLfMAPh92pZyNChgOHNgfSvR0Cp3INlDV1FNWKslMc3PcacmGK1WU0A1QUM1CrwrdEs2FNSUrKXW7mL4ejC0VlS7QncY9ochJHGtDMbsmW5a0Ll9MmE7PR3QmAM3QRXnUUwDobX7WWae18n3JtX2wzVToVkKZIvmLxmzJ0V2jbDWghhcNI1q+8sPSGC6kOI7tjRpddzZ8ix2hobNWV3m9KvRyqMpeSdPENz6MFz3fR0xl2BOaAVZJf6qwxzY/WsSlPuZ6rsWfLaWN7YXqWNAu9nsvPnBrTykArpEqBqDpAwJo0Fd+fpdwBQGJlhAC0ajUVbzMTa0OOzaWtOVxdsacf2Szuw2x3zyoM1fYWIL2N71DhcaeD1H9eqsrQ7Zff9ovqR3ZgFMwdcTf4LWKmc/CfLCdj5xMyTd6nDZ0kawnwigIAD53cLzYlOkVybM6iQkk4VoLWq45kuSlvTyZFWZeAPB2ElpVRx+tiEYfhas9ZCmgLJEbA+0+9MLOwIsn5UdS4y2jcqxYl1xguQF+RBbsB9X69v9QlZBTYJ4zzMefcnbecgxd2EnsmGl6bE0O7TxWRgEc2267kZZeM1gLV8bAOnBv9u2aP5zAOIFWDY1kIX7ZD91KrkzO9v63QPylvjs5s+GNdyAOF56VRdtKtQhAzAdGiiw30Vsd4KyDwbhn3j9+prc+xOza8qm2J45qdboOj6tkG1HfTggv2MwM71mo8MGNDEpcxhDNvGSq7TB99YrrphLcSlOVJnA2hDL1OxZWiF1tGxzOQRoVkiOCKWiIpk8PZ1I2Qskb82paQfklKBSWlN1r+Grh5lKYjfBUblBhRsiGwIPVA8KWj3J4KCoQs7XXnMzJRPGSUDwg+XN+697+5yO4hpTAoSIWh1bZahyupeZi9aFnEzsQ0zQAgDb9pjDE1em2sjT71RjN0gUQTJEJoolIbRLyCcYcsANtd8x8AsbHYy9Cq6PXOjTxZ3/2IKOdC7NyVKfKwDlbka+n5jxPoZGC8snIL0Ch5/5XZefFDVY5rxaHcksRglm5niaqISYPl9Iw1JFuL9DqBPw0Sa0Vuj1Cu+pGZ0+7uJBHnA1RMYQQqspoCgaA+p8YmuGOgG6Cvv3WV2Ot8hgCwY058oTPF7HvL3j81DsC1ie0LJbkisQIsuNhbVDIQpklfZ8iJGJF6c91voVbVimyVr/DAd3a0dSOoU5RjAirDzIjckg8wwcD2/WICDI/WexU5IZ8VciutvGtkDAICAVbveQe3MpDc4//99q8RyRW+aW6GmiKRYcOw1QLJvfHE2h09LUZZXBkge86bUg7BXrdxPyoSNkLp6hIkhX7c7UwHAg88RKIapATP7TBb1bAsoClBvkX/vhwWu6gIqwl/OVB2O6sB1AuJomgE9jDL2l01sk2dB7uSokFuhOVFAK14ZYPaAuEXWJECgTQcGHXprTy1KHgJrUWlf0+h4ppAxq8nWu0MkFhiwAM0ejFma+Q0ZzzoOp5YsokR5PUPjB16JbDpi3X2vrvQWs6MlKK0cB0Ou3l5lidOsOeb2gMQU8ELa2K43SHEILRHrdd7A5tXV+I4KWyAx6Ngjbash7QrP2RKvPk9XHjxTkts6LidcNfd/YHsYCuI32ztdqPnSqWCxqbbGYMU8m9uJUdW/dUGYKvoyBn6uNO/ISdtZnxVWRjxGysK9ivPLsrwerybUWdY6mAGhU6HjlHi9nU9eVfv6ks7QaQi+LyfcTz6xzZqCcQhOe0xhvxPLLD+8QAaSXHXVm3+mwK6an1QJH+gbTU6AvY4FwTUSM8kFM+IfLdX5hgmZ9Tz+lHEj/pKgU7cH6nXYhzaSABCJsuwm/ZD+biAJPz3YeT8M8g2JC4fHENb9XlvEsETrf1on6uR6fX4F1g96fUE+LCVAFS6ozKRIvGaFUu57ZhEFJWYUooewFCIL9p3dcdpZAIwPH9q3X0xbWz9fjhHKf2B7IBJhgNZlLrsALBUGTjXu9nxnIW9AZ1oLwsvVEDwDMVkYRQ2PKHP66AiLY3k1NXI2JFSGwktmSJdg6DntPzGsAkWBz1hsFf3C+IQwmVmHSLl2VFTWXgAiypFrphNmGcjAfLpP6ne8nbA9EHr3fp6NgFGLVprXAwFSarfcAN14oPJVPE+ToaBHa89bc3frnfwU8/Cw4fGQmqCYGMYfPBWFXfPlXE9YPwPwFOPzCpN/6jvbFKbPF2jGGjW1nNADnnwTlpC0IYckOtXXOf7Bz3pTZ9wfS7zUSpeN7FasCcRWkV5a6vf+PO8JW8fr7Gds7Ju7ThUk1b7G0vUNLPNREAaW7PxGZXT7uCGtBXo7IdwzQX/4wQyqwfFEsX8x2HQW4o91LF+Dd3135udOBAZwYw0K5h/NBkFauo+VzwcP/vrV1zpLK3EX3jH348nuu73d/VzGfC97/hyve//u+fssp4fP/OGF/T9u03/XSNqlKendVnP6yY/pyRbreoVo84OvRz/98p9g+AGEFjn+TxhAhagxsjxZ0PvPZ8pF0bmoDOIpNW3r8mzYbz172/Ywg40CwfuB3Hv4qOHyulhji+/cHfsf8WXH/X2oL5BGB9CrIYUIoTH7LLpie5WYP1kmhx4o9Cy4/BqQLcPpLxXSprQTg+Q8BX/6XwiD3/4n/6uu/QU3umOW2jJjX0cCcfv+do4UVLKSvrsCspFUaOqICBKNvuMz6W4Eflw9vmS+TL3dqUF3NMBnR32kCFQHR27xIQEv9pmhBZugOs8ib57MUxGBsbwzv21f7zJv3BLlFzgA6WjmbMI+f9sP7VW7f79c3amkLckdnf5wfd8raxNj7rO4Elr0FzMi/QY48k0hHE40u6fSBVms7ot5ROuXE/zYJcinonWnegnSOPlSwJsgOjA758INjLQdgB4EZ3bABwZxp/11rUK192nkdobPuKCIAKuy8GW8ATfjIA61sYiT19m0S7Fq2MdlIfaRa+LPasAuaBlYoVv/iGVLP3BWbxsDMnhTuE60wKX/OmVhtbrsXS+bAUVF5s5aK12m/ed7xvd9a50GAGpge96IMHyNjUYzOOn+nt3+/+T5xx90F1cKbe23f8Y/sOxHbN6HfI9DLAmJoqGmrXVR31jhWTsNx+uFITXaVWYRuU3y9sj4IDcEHLHGhMiBi5swHHt5E+HqtedufvhbF0aTB0cl2HduLCECAo7jaDgOnDGqzEfrVOv3qNSq5VxPwgaGCFpiTsTDUWasClUmrdvmGCjKrrgUIUAasI3JhNVaj2IthfBYsGiCS7GuMok/US5qJ/KqdxtvloXpb9nHzzIN99SSi6zCM68SvU7XT63xveIJyeP728vKVN/dza2Cl75e3nx2STN4i6KsWawPSS7aEvPmdl4v0hIDY2u+sJ64tF0airdRuH+0aTGgCHvjZlxD1t2x/CygtWIAhfI0BoDbP5hfoaGstuKDvYHZuv/19u8fSE+RvKfvjs4+K0IDZfBc8MgQ/FKOb1wqqBNr63VgGJM4IM1vRdCd8HCygkuqOeD8rvxIp9PUefDyFrRXV/R73X4YxdlOaTOW6Kmte4ePqb8BQAy+3f8P3iv0nwOxTZceREYmM/bPeHsdb6bidbTRxESBq29OtHtX3kSPHX+1Tvf0zrltHrm1N3zBRPPkHRVOc8CTq4Ob4/2nDtbUfuUFHzX5xjZhDPxnzoSXrbf263QLn2suxtAgBEDHq/E2CgPunt3friaUAwPuNawCQzKXxFl76Zv34c/kj+/nlNnNMfOH2c0QtpbUNcvS5tz80/+GNiXRaruvlOBNnyKNxuja04LOdNfYeL0nx56pJyfqwAFkFCBuTsn5O+nN6YqsleGv3J/27fVzFfuD04ppcvMnPQ3uo2teJl3KMHQDcprjPWKOY79UR5kYNdwYmQvdd3bTa/728zkt+6ki1lT6ub3sgO/vF7bGLPo7syMYiMFZAKNp862IshBEtFVtrTWtjQGm5Zr72O3wfqdmmOuktg9LK51i/zOTB/FRaZxYIGbh6seSVaC8ztXsT0M5XQ3fVxAcZPwhV3r/lk/9XXr8+yG3UtmFjgY28WZuWIBNpNOmTZcKtbjFYfaXD4b5xBCZ0UTr07ROJwMbRw5f1BTIptvd8b50F5SxIr4r4Ra0YmtmV6YkZpDqR6hp2RRpEe3pbCNtqhgCIUqzG66Uc1VNDX5sDHcADb4tEvJ5eAK2Q+3voYWa2fpl4zTV39GrfuxiOahOAGKlvXl+npmjbhHbeBucArw1Aj1Q1DNcdcr7e1PR6FspfGgJ0Zra1zKyTYs2omhIeukEQC3KtdiqU7kiVCa3ViQcRdbIWP5NiMdlwto1S2xhm4IToe9gqotER82LMgEtudUQMri2bKIr5M+XvPdCNq2J+4vfPT1Zrs7FmjBnRilAqVe68Zq4lJt5EA444usCDKrBnhAsFOFoQZa1pABBBM0dBpwAPOuIVOHzmxs1HMxSRa7vMlOf3oAlibQUSj/NqB0wVHrK68v/5CJwnNvueX6226FpNVZGPEAC2KklGX3MH2gNcGd4I9DVVK/eAqS1DK2RZ2I7GlDNv1I9z5ftyr13X6xXdiQ9EEE3hvKki276SZW5oRBPt8XuotdOhx2BAFRDuTbZU8vVszzWltjelGtJh1Ot4zQirEJm0ACyut8a0pk5dc6R3P4X2O894O22oHaDR1Sa7aIajuRqEdHsBgpqDa45BuHLv1tOMvDBzRwqTIq0CFcV+xzYMI8o8vdqeNKRTRVCPLpBi0Kjq7RgO46jHAyCpB2bK2n65rnTSzM7JlhFeyVSpB5ZDQBVRBGWJqHNH/mgrBFqBqSrUWhyVQz8Yq3anDtprQ+vEeAMwhw6kLDNJFCnMczUabgUzxEUpyFL751ptbVsrAsxTR019T/ufzZgyKcIVuEeKNymRbxKV7mDeBKkDshb7fnIl4mYz7q2F0bcCAH9Z2Qm81t1VdE35WYPwHptAVmzBHKoin1ITRHN2gTsy6WrJSlvjRLm03Y8nHPKBgjle61gOPAeSCfn4+u7PQAS5iZscrGXXme1x4Eq/xwkaWHPUlXXpMMWVDo9T8RzRksr2XelcLKF6u2fZgq7rKkhdh38rwuUKuW4IxwXhZKq0dhbW+0R7YMwYUaBEF8biOZhMJbXMAfmOtN10UdTCWjqd+zHi6LOuMDSXbVtCARCAfA8A0gIKqpdb+xdDtj048jkLu9KBszNTBTzPrhuZRMbIqg9HQA8cvy1Da2jafmQegC2AnDIP+gHc1/1MD3uhDcmC6IJK543n4DyhzoY0udDXZYNsO2RPkDmxBdI593VdYVRl+jc6J/okRv1nizcm2FoQb9evyUTDbL1pNGag2Py8Uh2eNd0MXlE7gkv/xm0Uz+V0ZfC0LjyDoT1hsd/TtoTVKPRWNxlXYH7hhJR3iUI754rp2ex3CnAAwf05r3mcX7g44kbNjs1YAOEimD+7wCfIGDA6uQaqgbMcgOd72AqTFImsgzHIffz3QEpcH8dfKh7/M/3V/Y626P7PBfgTsD4GXH8QxIvi9DcyXNZH7vXDp4rjzzsuP0z4/K8jNJGqOr0Irt8p9seK+XPA3T/Qfu8naeVhLK0C9jvqoZz+aG1pfiPY31XPF7TnideM6Tyjxt5vFmrKydoD1f1I3zJetKG9T/8D61lDNk0g7cGcLoa6Zm0CpOlcrBRSUOeJAnOGsKcv9CunM+fo/EPEfk8B1Xw6oXXYKMD0GhG22vaJVCXTUXj/2yN72o70/zpLU49eviim54L9PmB974wWC87XCd4311mt+U6b/w2wjdnho9trNFZkyIrrBz6TJzr4u75nNKD1ItdIJqRG1jSXmcwHPyugrBcHSDvf7xXnn8hI3B55Ln/4DwV3/3BB/HIBPn6B/u4HnH98RE3A8hFYPjIG2B96QOwq1nEDDh+BMkfkE7B+UGN9BcSVdd3Tq2J+Vjz8h4iy/fPC118f5FY7aBEGSq0FaWB2SxWkwazZMtpWL2eCCuoB8pBpkQwgeS2ZtGwWMxmm8lZAlKp9iEgKwL+92bUjfk1kYqJ4BmsESHcJuzmCyPxuVYx953gAFiDYZiv9Z2J0KNYFojtNFoBqZoDAtcv31jky67sORt+/y1+jg2PZ5hZEB6spTgPaNaLOb6/lhi+XXocMWFuA0q7fXq3+Bw0hdSMDaKNQef9KAMxseqbJUNtWc1Qs2zN3NdVWL9Oom9qz4CMibZluBKr3eY1ca6NTucHSOtK60ehsUtGEJuJKCp1k6zdoglE3yY1vvbzec0R0vD0UgCbuNMxdRyLGFCK6Yx5Z0yRV6RcEOvHVmp27kfYspgRDaBQWiJqzbsFUNoTc2yNIDYhaW99KCsF09E3lBu+5XT9tzZmQSUv8lIYw0kEH17YIFPUW0fVrmdoxKZqRAai3J5JqP3+zhodaxobCWYCrhprdCFMN938rxGPX8XZB33g19ddIRUsJwrYTIs12SEDbH558qCOFGI6w8HdqmWKvZxJDBMY7aJlb37/jfndatk49SWGBMSxxwe/rNZSO8rbMr9q9REbdLuLT5sUTDtLHkG2oAm4gX1UqEqsFvkG60F2KkClCUZnpjwLxlk7KfQlDUKod3MzIW5ZdaBvEM/9vMrWOnKgz4qOg+kFrvdTDrkS1o7AeTXiuQLWj9mNgD6D1Fnc6sY9/LvBe6mpn2w3DBW+CuDdB7lvWwU0ttNvcN2KHnvgFuBbb+99+TzCn3bNQbwJi1j9amcRgjxzZ1RRa8qGjkXYmWj1mnYO1KrFrDwhcUxR1Vo5pHKjlrBr6Oz6emP0feugG9wdKae8VazHU7NvwhyUs0hKXfh454tKcx7f7u2rX2qiVsFH7HWi7tx0i0lSfm0hXYBI81tLHL/S9HGCMHFcnPrI1Vyig2FLFzWb32k+tNpfQjqZJtxM+1UB/jyjHxMe6TII4cY/q27O/gsl36bT6pm+xZWAr1D6odWDNCGtx99LtpNk7X5cQcG/ZuabZ1shuIliA2WN0v8nb01V0RGrLba3eMKJ8D6iyPMztE3ATHFCjQJq/IsWShZFJeZ775ld69wjluIh0f6M4ej7YXKmWbBRPZKL5I+XAtoSpLWr/PZPUkikQlBfauHSxs8jfOm5VQ6Zb8CCc57wL/QWjuN/u036Nhk6ufg+WiHnLFgGwfC7Ag1rNbcXy1zMFPe8PqIn023TJ2E8LA8SdgY0URThxfUwvFfNfX5FP79jvN7HtTLxa3abpdoyqzK5ToYbwEbkTitit7IN7g0y3wSFoEjf6mM2Pt6RWS75p6KVx2QEUlqxNz1RPbgw4Hxb3N60Od3reLWlA1X6yhIBYHNShXeS+jEw8LcBepSXfQgHKPvggbjZNjV6jjUNAY4cBaCVsRPIpppVrpywDaEF+OVigar8jG9J8cWOJ+fPWqSPXca0I96HbWBvvuGtD04l+gzXgMPFBA6Rc34YOJv3WOiLsE8EVjfw3MoP19OfP0OcXlE9fEB/uoOERCEB8ZaKjTmJ9hTtVOa5AulbElSzGKwLW79GCcBUgTYJJuDaWz0DZ3y6eb79+vfBUKfDm9TKqPvqBft2td2GCLqkZZCmK9LpDr4KYAuuErOalUd2sViVuQF44KOp1nU4tCACpJhxsmYzu7Lx0AbaHAOeUiwJxDVSATJbNSwJIQsiKec3NELcs9t3x1lnZM5BZ/4EYmY0+X+kQzBMz7qqtxiu4eqxnOEtB2IL1uzOnaplZAznWY72pPZQSINFURBdw8XofX0fjHJ0bjfdlQ7Q6Gz2xwCI8XxEC64vrfeooNsC66k1QIwfYG9LXJNjvWQuTVqKhzOx7cAHLkNpcKGt380GwPaDVtVABk6hX2IGycjPFTa12xnodWl2VFMX0wrYfmkLrPRd2E44x4xU3bRSVMgFhk6b4PL9W1iherC4sMhPMIJeOoUyJY+5oYk3ALzaGywGQwMAsDnVyHlh5/V2x33niIxiqlJ2xMARmyoPH69ic2qqi3ThGtIO6UUrseUf6igcCrOvqRtQDmFAUNUToe67lcN7o1KTY1kyjc/rL2Au+nnT83ZiY8VpZgMHn4fCNADQAofbEhdcEh2gBcLh9vyqasAjQ/y0CiT0Iv/k7l47SGprVHKU9A5sCU+qIg3/Pm8AEVRHM+XDHySmWNLpyO+5BmuPv1LPukABqYniebAlm3F1QJmZPSqE5hK0uei/GXghAjWgKkOIgd2i0OjpX1ZDMauIR2mxXnYmah+dg11cwOhzQri2j9Th2BzoGMlCAjl6Of2D3nXO7d1G22nIaHMsctCHipbJGi1R63KBwXrMFlZakaoddQKsPZasDaQ6gmogG7YElvyyRhW3q7Xbe9LJtCb4qpEWLEH3yRMNl6+9Hd0Ju1r8FyW8p0Tol4DB3h973U6mAoV9SaxOe8hZADHbNM/f7tnFuL1dgHoOF1PUMwjV3ZC0C8VogLohnybMxgFdvUwUQnTRw2RMj+SCW9RfsD0NQZomLmiy5ZvuF+4S1rtjtngoMGbUNYm2DdIqo0REg3p87sHEXTGf/Lj8LPXju9nE6D0hkNKHFeeL56EkLX+d7gd4doPdHIr5nshKooA2kl41iYj7mkyLMTCyn606KYiT7Q4M5/AnswxnE2nMAvZwKba23NaTmDEegHobzsdEwWQpTLNDx5HBZBHsNiLsY9bYLwfGsXlqCQwUoJ6JB0zP3t/crpo6JJXuW3gvd7fn0yysZAvPU2EmuvyJO0TQfSE8L8sOCkCvrZyvXt06ptfypKQDz0u5LFAjXHeGaUefUe8pOtD9MzsGS0WbXrf+1VNam+pkqRTE/5Rbs5uM0BIiKw5fakjS7tZ9qQYipwhdjJ1RnD3rywXwZ70NeEwO1sHutogDgOp93aiEE03HxwFNTQLEgfn6h70QkUSE5IkUXziTC58hlmZw+DeA+DBRPbRRaIJnomjFaBmZe2JWK8oaUepvE5VNCmQPKIsjHmevjiYwOf3ZPJl1+TLj88B3ykXo4nlh3hFB2jsvL70MvFStdxfj6norx0K4sHjIwf+Z6Yy0n8PF/OSCuB5z+lnH3pw3b+4TrI4PLy/c8546/UO13ulTEneyN64eIYv11/ZzYLBHBJChR7GgCVSpAXQTb+xl1ElzfR7IrottBnvuijB2kUuNifu2IesiK9EyF9utvFly/T5jO7BE7Uts96XH8pWL5uKIuEftdamJNZRG8/CGi/suIdCFKCfBzGoD1veD6HffF9KyIkxnXIIgXB2609axPVwak+SDYTxFlNhuTQAV40A6FXZHvKA7mGgJSFduDIBylJQfyHcxPhvmTtIfxNRBwUkB24GC1wNtjAv7Nb5DO3yOeN7z+7g6X3wpqUrz7Qp2GwxfOwfoY8PIvBDjCOlFELJ8Uy1MxND50m1apXj1/3rB+P2N9jMhvyhz/sdevR3L3DEzuhZTWLNxf8nphH83376DzoRtIVchlR1CqmSIA9TBh+7A07j0UjVIQj9wobEUjvWl0Qtv4FfyMgBMbr9oKn9UL6CuwfHEhpK6mppHo7vwRN/1xNUWKNfmz1gq5Fuj5wjY8B64cvV75vDi15JS3qGgCUh7wN4p3DyxcAfkrNAfoAbZYw+cpockdW1ClALxetYmguBNadgpPzBPq3QGyF4QvL7z+aUa5m+gUg9RlufLzcUnNYZeqqClSajyQXx9zxX5vLRYs8IKwqF2DS8kz6Mr32morpKBx7SWjGXb9wpOvZecFLVsbn0h3zR9OqAvpIWHNbFtg9xdN5a4c6Fw5khQKRVTitSKdd4TzhnqYkO+4HsMW7FDtVD+kyDobX8dzojpxLdAsXdhoHOcYenupEIBjoBro7hFIMEq7OcRVDMFwkR4bazWnXyn9TjSdVKZ8IPrq9aMN5bIDW4SHbsja+sdJEdRNiM4fSJuZc4XT/yF2j6PCONCddVuz7fWt2l1vXQEAh4UI34B0s1H98LkQW02nI2Yy0ka5KRkIj2Psvx9RrIGlgL0A09RpzvZ7WXc6uiKk8fnz2bWbqi7M+TKKHKnhQwBmh3J1OpbwAPHkQxh6evt7y6IW5ApCBOZXBnhsxSAIbxGoMUG1F06RIyrR2vlEtgYQE09yZzes9UZVGc6+EHQxq6ZmTZaJ6t6/e8/w3pt9/AIwv0lAOMo+oIWyZSCXXiebArzIrO4cX4qZmJOUrC5SBxqm8DDWCM6x9gQPPCktduBabVNahSwSADL06PTzI2yFfTa9ZVC6PR3VA19RKALjvBStFRAR69ZCyNYT4PenTaW79VYfxdHmCfU48TnX3SjG2lBlndjWqO29iT3LG6Ibu9I8huDQayQ1xlumhSFd4v1OA6CzgFRVqkvXJTZ70wgmHozZfDIY8CBDzUahtT3Jd/xgPPPaYzAHoDn/GoB6FlYP1J58aMF1U/iXlsBxJk9T677Yey0ZCMCQej+XrH/pxSiiSzJ0wdo3qUK3W5she0Z5P6OcEqbPV8TPz5xHE6WT84qwZwZ4yyAeBEV82RC2jPx4QH6YaC+2SnteTUTxzGAnH61fZLJkgCUEeu2fERiszs0DW8BsvJ+Ztc9PnRQZHKd4DS0JwfOVtGkpltwJgnKg0FG8BoRqB4wqUKUlN1TR7YIAYa2QT0/Q6xXh/p4B63FBeVh4Nme7cUso1iVhf5iQroVndS7Qw9QZbrZv8jH2ZK8Ak4DJ7KkLfHnA5uU9VYG4B0NYezI/lIqqAboYBf5CUbP9twfsd0IfZa0s4TmTpnv5ISIfbT8Us+MWN7DtTNd1YQkcQL0X81sWlg6Jcm+4araoYHotFgSVVlIl4LjWQ2QdtcLeVxFfdwsSTJX3wAA9rsDyzM9vd6EFv1znbFkkRnNXERSzR3GjgNiNgnwlShgy0XpkBtbT04Y4R5x/t2C747zPLybGpdqC3GC9bdcPDF7nZ/7ca2KpSM71ff2RSN3hZ0G4AMuXiuXnFWFfUJbUSnpU0FSG84HCVHUG9ndAWAWnvwHzn54AeUcxsFmwPXJCls9EIWNRRK3YHyIu70IT7tTQfUu3SXFlIDg9ZxRv3TQJ8sJ44vqDtGDQGUdj7bMUwcPfFxw+bqZ5UREuO8LHZ+gyIf93P+HyPYE0L91r7FE/MvaK9Msr6sOB5TyTtJrT9TvF/k5x/FPA/Z9KM6BlFly+I713fqIoVE3a9s7hZ8V0rsgHlr15WRQEuN4FQ0CZYC5WWiIK1I37Np+A/Z6Mh9Y26AGtU4O3Scsn2qq49lgrXXp5Stgo7CWFJYrruwlxmxDXBdfvBOsPxXyjgOXTjvRlRXg+4/I/fo+nfzWhHOizS6Yic3otmJ8Upz/RAOa7BA3A8nFFfLoSeZ9TW/f/tdevD3KzN8LW5uxqDK0NjUzMVOuAAKjTmbVQeCT2Ol2npmjLgAmdTDG4H2o1FHJTsO+F/DSgDG7z3YC4AHC+el4E8i62jDZAR1YFyA8zYhDIXlm/YllmgFQWZADHAzPEQHO6pU6Dc27Zfe9Xu264Ucis0hFYD5ydhuOf92vzB7djPoqReDsjf73J6gPj4cVgxhuze+HiVy00jD5ep0D59f1WYZYOKswoy03mqo13ALIw85/vzOiAG0KKdHqlNZT23sYy80KtzYo5JvU0EzH3uh6g0UeD0Tf9/eI9FoVAoWeC+EwRerdAB6e9ToGBRF3ZQ7O1UBrGvVRezIs9R0XrIJZoyLdURHVquzlYUwIIFCBOvY0DQAcqApCJzxXAXpGqihjM6CqQGt+lO6geAPhaLkegFmYnamLtqbdKCZuh8lPkeh6Dx21v493Wkr1HYsDYw/Ym2DRaWqvX3d3xfrNu/XNvf+QJA1d3Hl9vBasaEldZNxkC58Wp004/vaGpGipgdqnNjTkDOve952NapmBOGZ2MMqHRp/Z7y/j7pexAdfsyiprRkZWWdAvWm9FFokJm9t17RnahPrMXxRIIJoKjAEKtHYkehHBcDb05uObkftVPs4mMRSZMhvpzKQVNoAyG7IxjL5ZAErMT4z5pwaI0PzrsvFdpJSmBSt9OzYqCUm9rjFSkq6Parfn1RrEKXk6sRCU0M9mRbRcHowMdDosPma2tYUxsLciw5mFU+a8U8d2Wh76eGv3SX6nvE1fhx577OdBYPRUj84bn3y0a3OcNrbRH1NrpeF8VS1h1xfDUc0pNuEja/YSttj6gdMYEMBGRMqEpKNORt7PYacqeIzD7PSZ2PBgIrrXg1Po52LqvMG5rfy6rzXXhMikm1OPtgVQbXbqtBwty42Ztb5xB09bj8MwhQKaJ7cjspVNigt17G/v+t37LiAEqRCK9E4HfB2xN+X04cwBGc/Q1yJIq1smXWYiMBzvvdunjBjsLvbzGy01savPJzjk7Jz1IZhJNehkDiMBLVWihmJSL3pAGOyx4WyetLCkJXFiOGhUFOCyQicGtM2CIGCv3fwQ0JFt70ijvrX3izvYp9dB7OcfVFJTnfv75+vLE4m0NDadyVGxWa59Vm8aCmk9itqey/QrUBUYVRUJLkvh5WQbv16meTTgt+FrXZi8EptWw9q4GTZhQtfmTNQZIMru8mn+cAksyFC2A14ndA+rMHsOs76QejbfFSYk13k13weuvIwDbJ36GyF67ujZ87UToQrGfcIqIDwdSdO9nS3woDrmgTGKINuvuNbA/qf9seuH6S69mk45C8tUGxIvRTk10jS1rWEca16nV1bpuqA721+25GguiRuDldwkavsP6jgCKq7Xz2oLtXeylbUGQzrTz0wuvvz8wgIsrVX7jxskrh9h8Vhd74+cUyeIHv0cIGHSdbXyzYj8l2psVTJR//46xgaChxGUJDDpPTlE2KvpdxP7bB+ynhO0xWmsmju38WTB/IeuwTtRiYd9yo0SbXbjpxT3siyZ0ZYlFp3FLEeSjtnaT8WrD7uyETGp3nYF8spjpXeV7nwPS1UX/PLA12zTZ55ud0nY/npjUKMa4FUyfmNwpM3D9fsJ0iJhOE/JdbGtHI/dkPgj2B283BwMpTTdAF8zCMpKwGwPun/H61UGurldgPjWarYsy1YOhmPtMgzjZoRusPk6ZjUEp0CmSqmI1Y6KGQgWY+JEYZaDC6y9IGaFByAsXdY1Gi4s8qPPRDwMavfmZE7u940ZJQ9F6iQJRwfk3M0KeML1WpNceTLWaURGUuwOzh2tpzbglxuaYSC4UlFkmUlU/f4buG7Dw0DBfgO9b2dJFkgm6jAFnE5mS27oUb1kkgrpMHDerKZUxAIZRkbzvbqlsISPCg8udHqPW1BSaQAOCGYUj7yHkAhe3URHkQ2AW7mTjbPUKzdlXYHtgW5AagbpUSBZMW6DRsYDAZeKlkpJTU0BMRlO7KucgAPu7hRnIT1fI+Qw9LSh3pFCmS7VaKToc8Vqo5Ca4cV4AMCs0UH6JLtHZSz9X6PMz0fneyJdzsO9sQzMnol/XlaJJ3h5qz0RkxgDLD/t149jPEwW/jB7d+tqJIBl6ng8R1dDeZAenN6zXJKhXN2Z2XwLWQwDwzGE+2TKZmW3LJxNXuwLHXzLVmA+xB3cChGtAWncGqo7Q7ZkoVgw8UEUa9azTJytbCWll4G9rG1uwHrgDanaDDspNUAQRUmJHmvGeWQYwOvvWXku2Ct13QALE2654MmdIMDUxMaPctRrNik4RnROdIUNXWMZAu7O+C0SuDiaUNHVWApFHPxUHo1/BehOlvQkrWx3MT7RXzjhIV7YnC3vp9YmVSJ8HP81d1wjJERKktfGRQ0JYepBFGvoOGWpPNUbo0RBMyw20FkLc9BhFA7FnSGD5g3pCbpi/hs6omnG1JI7P75BECLl2irslPOLF6h3niLhF1CTNqfI17M4MbHh9TTkLJGSbJwEkAPsd2SP+xpBZ+yUFCEsAi0An1MX7KpZ2j9yfhf3GhzXKVnKBP/dn8MDUfqanA3ROvT3R8L5Glw+dJSHXjQkhF6+r1t7J64AB6J7ZC9HFqbxkRow9In28pRRgq23cFWLJLoqNZRMci+fcgkRvJRRW66sZE+fgGBqVM5+YnNzv1RhQzPanc+D8Rf9+ruu4siSlzuiJy10xvZDWpxHIx4h4LUhWUtKSqeo1thZwWuJExeqEi61167dafb0bIhwuGeG6tz2gKUDm2BM7wZhUb5g5zmgJI/JVlYk+oy3rIbZWWaTjW93wFFvrvYYo52poXu2Ko5HJ1uVTRjkErO8nOtXPJlA12ToXjpkWQbx2REmKoiyC9T3H8PCzNIfdS1s8yezoUbR/h6zAhbYvXklRDVvpvoUBC9USHRoCJBpN+8sr0cfHO2iwM2qw+4pgNYHaWxBWxfS8WSvFciP0JukeeqKAVHzZ6VvczwwGFUDi32EtluCya6p2tDg6VZdBXH5Y2Eppt8A6WLBogUW6WjAdwfuP/dz00iAXRhrrb5uOQgJrFmdfMLTD6aXPEYUA0ZJuVIJnclBqRNgK4nUDqotouR9pAlKGale7v7ArDh9rQ1+baJwDKYW9VrP7ZGCyNF4K4nmDl7qEIchdHwOiCXTxXD1CI7C+4z66/+OK9PmK7YcTLj9OqJEU3ToBlx+ErWJ+EZz+QpR3ulDj42LrJl0Y+LfSgUTBINZzBqhQjIvlUpbAELfTQM1M+JSoqPcFiIrP/zbh+f9ie64affsz9/x+x+Qb63Y514fPpH/PnzaEXPHz/3qHy08Uenv/HzdIBdYPycSbjAUamdSIG4W2XNTLlXxrEswvBaf/+AmyZ5z/5x9x/S5iOguSADkmlJ+YMFAxGjcYnO53bLMDAMtn7sXL9wGX7w70H0xt2BOCj/+54PinK/Z3E67fsT3Z+h3X7ukviuVLxfouYP1glGQ721QY+/jziPDaLpgVt4rXnyLWI8d6/gIgAOsHJhSWTyyr2O8ZkOeTYvnpjPvjip//9Aj8kpAu0hIc9F8scWzz6M/viaP5hfXOlx8Srt8xHnv4Oz5rPgme30XEa0C80g9fPnEe1u+VAMIDcM6hBe0MltGo34dTX3cYkoT/1OvXI7kh3jqv/qoAWmq9OyzqdCV7jTRBvsdE4eubNgjDy4WG/HBkdrc7mgAAa7jegpn24eaTtnpHtcyYts974+oBHfCDObuzaBm+FEn7AfBWUEQ8Qx/ojcmgxtlrOoNZT6JRikF+fnTuxTM29se+X6plNn2cx5rPt69gKycGy0Ddjn2Lvm1OWhsAm6ebxuixZz9ZU0dnqFEJK1B9DoA2X3080VDhEZlpSMBm2clSoSoNQLypBVXPntcbtIrXtQz7gFI1dNYokL4O3bgBnFctjoYN9F1lTSrjZqNqWnb/5r7GufoWGgN0FLaa1LvHBW/2UXuOImRoidrc3MRWfU27YQj8zhqFO9wyfqLKfpAWOYQhE+Z9ITvbQjp9WIRB0dvnac/ekahG4Xy7dVsAENFEo96+HP0dl+/b9/n/hcmbVvs7ruWBuTCij1+9vMZyQDQ6BU2asE6dBHVhEqcuinwakFRFS9iQ5SRERHL/OTOx2rKeLZFlTkl7NH/+YR2x3q4CVRpi4QmtkEMXa/Ea1NrtBwMjbYgmIB0REYF+c23+I2vWA8IyGFR/hm8Jtrkz7SiNodPq54Uf8r4XfD2bXfDWHW0dSXdIG6vETeiIwtu5UybumTJ7ZB8QzBYwwFIIbH2E0hzJtzb35s+4bt7ue3U7Oay9UV/Bf/YNFfxvtslyG9KEn4azNPoWGwKP9GYP+JTU8T45kOpvM+TXaxUdzclHsE7rZCKBSwWCohSBU5P7PNsaLwAyblsQtTECBN3Wos2ZtvmSpNBi9tWE4FqAazXeqOj1ho7wVu3POo4zcGtHvrJd3/4M95veoJz++caQ8OsntACv/aydO9+25+0M9HNuV9RW3Nzf50hTnew5BE3Mx1kbqmhCM/1L0M+DAQEHwATAlLrPVYfEwjhU/v4QmNR0JpFdV+zaAJoIFOeybUh4v2j/XpYVWeBaQBYL6nBeyM39t3/7VnMBwrctRLSPhVgbSRcGq4J2XnoHgzr3oMDF08rJfBTTSqCt0XbOehmKVLHuDLTvIaMxRjqz5Fvr6s2Z6f91jQlj7LDFYB3G1ZF7HXwlE9XyZNyb/T4KzrX7cTtbe/22I48tQenvCe5DoNloFQuiqo+j1w+j2euG1Np3qvC8dETTUdPGQogYqLww9XQBghptn8GvbEz0k04rA2tKGuCCExObcU3AWuAorOteqHYlYe/EMs6tv8YOCi2Am8guK4uQAVpCZ2sUDpz42Sx974z+LODrrfsU/vkROWYyBzesJm+Rxo4J0u9XgGTKx+uDAYHKa4esiJslFiYr07SWqqxZVis9Md2EBKLwpbtgnAC3Q1yqybo7eEeQUPj9aghsG1u/xcHOkdZuIsOK5m9HK4UJqx/+ZIj2sr2+XtwONt/hG27Kt16/Psh9/w6Q1B0pEcBk7AGYYyPMTK87M597b23TUBSgZWx5wA2bVboz6rTkYAbcs6Yt828BU1kocc1G0xy0Gnkp3wA1CfY7bfVNvoC4kYLRJCgQwJ8HYOEhHK6kMtcjacrhvN1SXFUhl41/Hw+sU7S6W9kzcKXQhdwdgRBQT0SHw2UHLobuDrW13qZITYofG8UvZM8dKbcMM97dwVuuNPn9YKINd0tDUhClOwvKv1U6PTueM+KFnPjtMTXKVU10+qsZKo1Et/YfmKXFFnjduULmCj0nzL/Ehm7VCIRqZ1jpKoNOM1w+7UjPawsCvOk2DWQgVVykHQjwditLamiFijCT+kQJwvJugU7hhiIGpTOTDx11oXJshj6/QGsX5EEx8RIAEgLkaKosY1sSwOrzjKbu7XOmBMzS0cSWmUUTUSoLhbDq3LPyzRFy/3swIONhMQZc7WdCRxUC5ATUiT3yNARm5V7EKC1oQVGrt6q1BS9aKxDt/mslGpUHdZm2P+2EDJUIt1O5AWitUBuncD8DywxvfzIqWrdgydsxAaR4+/iq0Y4NKZPjgXtjmdBUN/1atpZxtLl9m4SYBGWhQIvXS7X2V4tJ9ltz87IA2ztFflehp4J3370ihorXy4JSAsoaoRvRbt0CwiZILzy809nqgS6K6dXVvAfaY7RaTt+HvmYMCRRHAFOkdoEh3P4swdEBE5aTzVSsU0RrZbYWSArYD8lqH+M/kj7kXDVGjge2Qw0pC+QsoIqBwaLbc5sbDzp1DiinRCfxyxWyFtTDhP0+GYJhAZYfZJ7pr1QXJQKIFtxqYtC1JTSqVShotVguelKtfh1VDDUPmF8qmTxDAtGTBsH4t9Qj4J5350ZdSLCJTgXo/WF4/97XVgjQ42xnIBMOLWHk4l2jQ++CPt+ifQPopRFMquhkidBvTJ4HuSxHUYS9IL2YA2HIdZ0j81Gmclyn0Gqk9zuhQOB7YHtfUY8Vy3cXxFhRSoCqYD8k7GuEbAHxJRAgN0fGW3bEnSItFKOi0xq22hxztuni/bU9r2r9xjlu08WQZ/cLzOsKuQIXr/G3834vba+3+l5BD+REgFoglxVjC6Fw3oDHI2nsW9cHYKcIEOFcTEvX6/Cu+w0tvSwn5BOfJ10GHQx4sGF1yZH0xLDTBotqoyIuX6xu972gHLTVwuUjaxWB7tPs90Sy2CnAau1m7v/pbE6kOdpBO2Nh/7BQKXoJiIcEb7EVtor4ugG1op5mMh0U0JOxvKz2X3ZrUbMkskIUvWbcqNzjOaLHmXN9ZIsu0kQDz58r7V18Hc5WW5uO4HonBQUDcUnoe3XvCdWwG9JfXaeCySqnaZMVxcDCW6Ks3wHlqC0Bme8V6XdnhKDYrgk1B8g5IVxMafgs1uKEa7uVpNSe0PFztIEA4nWtwnp6W58uAsiexH0feytDPwN0Csgn7v30yrFHpB0JOyBqIlomlKVJ2KLQX2+SK9OF9eHTS8H0Ze2BbaDPlN8foEmQLpWiZsaKSWcGmhqB6w/UPYgb/bf1O/rYcSXS6omA1msVbCtD1BVsPRkN+IjagrJ0Bg4fGTiVOZLGnhR1UcjObhoagetveM/xylK3pLT326Pg8ht+5/JpbpTc0585R0//fWrsEk/UOMMK1ppruwuQk2A/ianP037tp4h8eAQAnH+MyHfAfhVs94L5RfHwd2dIUVx+OmK/Cx1RLUSeabP4HYxRGMy3INeQ7+t3ATUdm3+tkYkUtSSHFLabSldFXgTrezI+7//+iukffsHz//13eP7vE+qsyHd8//3/ETB/EVy/F6w/ZYQL25tqBLbfZMS7jPO7hOslIlwZI6WzYP10wHaZgJ2MHW8thCfB4Zcd6XXHL/+3O5x/Jzj+BXj3dzvqHLDfUSAsH8QyJZ3aXmc+6/2fC9K5YnsXsb4LpECvPq8ci/URuH7P/08v6GBY6QG/CljM/898/fogd0qsDSrVKBt2WL8VsalWj1MqnSKx3O6bzFOjpxXlGeWZuuB9Q6Vl7G/RK34u5B4AcCcMCKJlGmwOGDBrLxL3WlMozLBKK8LnxYUOSbHnk0TnYszkhuGwtDHo1DXLiu50JsXeT4q3Oe/uJL5xyv1vNcraqJravsPfMwVmusY5sHusRptxmqyYfH3LMEr/PiKd/I5G8fEMqBf6t4yoIh4LQqjIIbEmaC6IU8F+iczKGc2wvezyYzbU6YThsncHUe2ws2Hozk8PxiACSRUq9uyB603Wjb+rM8VKvVYRFgh9lXoFoJWtFvQNH8LTXCkYgs8DV1U7MumOlSFX7WemetoSKuPLaBleXzGux36ffn3gJkIJPDTobLIe3csTNVLyvc5qhpWHSQyKsnEfEdV1yluAilrNR+3P4gHNt16eHPClJgFfKSv7XFkg0JCwlu20Bx1bvFh9rbMXWr3duM/CEPSOjBC1jGHAUDs3fA8ABGk1XHVAbNxJdLVGX+d1VuixYDru+O7ujCCcky1HrCooVdr4u10JmY4RaVVoKK6j+DfD+Jah4GPr68hEkOi0e29Ut6lqP9OOjKhvZl8/2uzfP/l6e18NdfZ7Msrm0PN1VNYen4GKu3KTcfX6PzJCpCEGI4ouCqvPHNa8IwwJKIdK5+ssZHib4ilg2Wh7rzN8NCrqynkOQEuacX9ZcBqHALg9vNyyAmD3EXtQfLNmHcESgSih6J5Alb7ubwIh0pC5Zt4kYmSYv4HGizAgjP5eq++SYrayGFIG9GvamvAuBo3JFD1ZTMe1HivklPHu7ooYKq7bxPYWVZAB6/067G/t69trSUe2FqmMCiQGjx359LUFrmEFg8lGJ3+DhKs2QR9ouE0qB2DU/bh5qbYkZXuNCeQ4zM04/o7SGoOhJQAHxhZLX/pcjewaR2ZKcL8IjWnG+WaAVJMF6ZacbIJ1B7J4oiEh1UWQhL6JI1NSPJnT177vIw/460QUykWysNm4mF6ITGwF1pI1vtaANj/yxjY0+92SrOaLmEJ4nZg8rKY/4TZaPRljCWw/K6qpKd/oMgT6iS5a6XXZjco8sGEUth6KDb87yGaH1Ox4WZhMkALUQ8Xj/QVzLHiaFux7wrUIdEvGTOCfdNUm6kNhN1vr1erO3ff1oRDWy/LvYbwU3dfyRyyspx2Xa2M82Npjrb09awYQtGuuiNO5bRxubIPvS0Ptt8x1bD54OU4tyS9ZIUPw4An2mvjHBdFc/V4nhRawtVRFE2K0yaAvPduYbQPSJ0y6s060132GzPkuSW+QdCaLbEIrlST83KgTkN9xwkOhoNP0wqRbmZi8k8q6W6f4+v01tHDiGBbrfSymoaGi2O65Jr1USSpQiqBereZ8L5BysL0hzW+L3t5mYFk4QtvQdU4xEwt33ZdW4Xi2JCLAwH4nI+lqYGJYM/TLE8L+WyYGZqDeFaBa26EL5wlzpdlaaGPkULAcNqwASlIACfJEf0XWYKWUvDlPMNdIuxGumWjwQRvF3stXvPVWMTaEt0xyKnW8VKTnnaKHSoDLUfFJ+ezbO/qrIbsvZ39s/wvDrlbX/s95/bdRV46xOZue3UdhRlkdlamV/dSmhPLdPVrW+bJD7meUmWgwLGuVj6nXtpjU9nbPB4+m6sXmyOasZ1g9AXq2RDkZ1x84ONF6l+0PinqoCNfA+orMOgupwG51wfHKQmtv5h22gMVV8wK6NL7TrzOVpXWeOoXZs3nLDARYvQqdfblx9iuf2w9KC6AapRk0pjool7LGeQh+o382NAn+AFB0RwaHv9EpaETCXm8dW1tQGgT7/YS6WAYxe30ojZ1v1v1ekR8L5FDweH9BCBX7MaLWQJQr881iRqwVsZsIDykXphaovK86R+THI7PN5w3QwMy/iFHIYkevhsAmnDcyyQ+TKWwasgIMVGWnvmkLeONqh2txvo5Rht4ERe1VCmDCFhCj3nqdHXBb3+cBn6/33WrQ7xZoNOU4rwFNPIxdFXmsfYCgKZv2elBYrzMLZ9RaD50qNCjKENGoKEIK2HYxNUQ6RukCTBcTxiiRgl+XjsR8pSI9pa8CXklWfw9DGGPsCOwwPqoKzcY8aEmf4Vo+xjH2xJAhiu3a9pyIAfUw3dyHpmFP+XtvqHy2D3zbFJ4icQe0qNG7Qzs8y0xRo7Ioyl3FfL/hdNjwMBMRui4JIhP23eqoN2B6JpJLeX+1w7ujt8wiW5LK63HHms4xsRDMeWl2tQf6miKwZwR31ls9snRU2ER0PMsfr4UMuXVjPXOjsvbWK9hWq8t1xzT0PQN0ez4kcVxF3uvR65yYRJu4TxEE++MBoor9LmG/c9Epd9C6U+70uLcJzJY8qEBYqShbjtpsvKvnUxnS+lTaUqxGxZIaSeVa6dBNzzvCVpj4OyTgGhAGNXCna7pysgvpwHqnes26pthqz+WycS+6eJ05JHTSbTEOlNEW2AYwWexq+6cF5ThxnThF1xxed+KdpqwCJpk8MLbgTFaepc5wqbPVXzaBKcFmAifuxJWjItzvOJ42/ObuBUEUH+WENSesa4LmAMneKkQQL9rFWYx+G3Y+kyu1hpVqshqFSvaWAJEofJZaoYjNqe2sBHvsOdmZhpbQrENgOrYG6rRi6Un1agthCMwl5yY2plNEebzDjUq1KuI1U8k8BZQg0LjwXN0KUCviWrD8vPH3S+jnsJhw19GTKWbPPQ9tzlqNYCuMA6CJonL5aOIzSRE2fq5an8g6K5DYR901Gfx6dSISw16lFXqKqPMRTnGNVz5XmQODHV/L1jnC2VttDGF7EWhnLkB2F5kmwRKR0imybf1xLVJroLI205Iw+Y5K42HNLXHpzLJqYpCtf/3OxF1dIvJdpA/nPlgNRiayZGWUFiSXmUnPspCdUNMgzuXHwlKpknzKOE07lpgxxYK9RPzxdUbY6LO4k+2BkLdqk8FJT69ULS8n1p9CKPgUV0F8vhIJj4IKU/q2cy6dzZcMgnpInZ6vbI/UpsP0Im6EKs1X6n9r2/tj4r4mYH0fsL4LWJ4jDubPssWb4PX3M7YHwfHnirs/rpAakY7GZnpHu7B8ApZPXcW/Jip1lyNb0OTjbbThYlKIdKXCytpP2m9jjjwo6qxYvwO2R0CjIt8XNEalAuVYcZ0EIVsNJoh05vsKyQHLJ7Zawv9BXyNeLCFxYUKiPArW74xKLkLBKOnj4vXWwUqL4qpkXm3mE3lyJBBVjJu0RF6ZBU//+qGBM6FYnk5oZmriGBye2Lro+j5C1CjzJqIVV/N3J8H22MUpodp6IOdFUH6IZIOdWQ/tbMjP/+Ye87/4N9juAu7+gYKYZ0aALaCfXgT6x4ktO39gzXNMZOeUc0J4iQ0tRwUOf41oDCKzWTUxVnj9w4LpdcLyRZH+v6QrX3+gDzY/MTGxPgrWDwHpzHNhfK3vEzYT/E2rz0ufD40cg/TC+Z5eDbW1pIazb9OlYvlUkfMtG+Qfe/3qIJdqnOgBrimfyj44mkGYqdp2YErIDwsgwPTxwoCgToO6Hw2ly6m7s5MXwf7OArkXbrZ8otMfNsvUBEE5soBZE7+7zhW1NR7m5i8/bLh7vOL8vKA+TQjX0OsxmoiPNARZSkAM2tDoVsM3BFiSC7PD82RIgf0uUOIewWmJtf3ckZomFuV1TK3Fx5CJd9RkV7umBRbe284zmoFiEgCNjRraCcCQOtgb+hTDAAEAAElEQVS1AIE5BEU7QmAOGQOwgP0UuPmv1RzFflBAGFBNjyvmJePxyMx/VYGq4NP5iEue4XL9VNykk58uFuhmKv722g7vpZl6jSJqH3dzvqWUporZevdZiyYEo5rJcHgPTrQHuP75sHWEzFHJr+oVvZZQK7QAxDTQhZV87Xum32ujHekU6e1IDNHXKbRG39URFa/DEtv4AyrBwAttbjmn3UGCCrOrBxozSZX92LIAOaAGNpwnUivWD1CtNAAIS4BmRbha9jng66y6C/JkS9iMyEmx1LoFrw2FtcBXRsp3Sj0Qtv3W0EETjnKlWACGXA5ITGCQK4re1zoQNRgz4GLKz/4d46tlAzMXX0BAiYZAWs1RnUBhr7ni7rjiftlwSjSuz3Fhn700ocQK1IR4FopLbdrUUJ3e5ojoSFtr2WBnfbxFDj14NHsEDFTmPTM4TpFU2IY2DvPh9gEMHoKCybh9CGx1cKi2jYmIFCGIbW8huC0PTcSuBd12P1Sl5bqu3nZFAa2KcgxNZKosRlEeTx+F2T+fnJ6MaP/mciX1LHRkq5wqWTtVUHeB7MIgx8G6CoRdsBsqoxKaCqTkCj0klCOfM3hSxcatzhyDIKWts9ar1faAhACdhHProlRh6YkvRy39UaNRxr9i62hLHmgKKEc6vuJBawuyzaYns4WGFKvVNGkMkGoJtcDgoQ6Kti1xPLuYGoOmOtH5Px03PByv+PHwAgBYc+q3WNGoY043czvuaGfcKkZqaVhN3Cmwz7sHg2pzgzL0zQXgnQeaGFcIgNvxEWk1jQxpN+fzbeeZn7d+fo4JNWulwvPGRPJsbl0NW3KGxIkBtQgV15X7y5Me6bKjnibk46Gh4hCvbx7OHKCxFbxOvyZgPxjCYsgV2SNGMzcKbFmIluhcgUgWhSYLfKLSQd+434g60nZt9+xSsHwqiGvtSQ67f6hSCDG+GZvxVT0oM7bexq4CLqTkrAxHOFufXaD3QzamTU0B+Y5rKalCSmhOrk7BWB8KbJzDuHLPaVxQp2Trb6iNRt+f3h8XwUp/oicpu4PsiXQIoLMCS8G0ZCwxY0kZd7KiasAfw3uii8VRYzrX4loWvgQtqRPPO/3bKFChUnJZrLeoq6rnhCClJw4BInExoJ4Sz60dVqdM0bX2GvQiRvSqK8+bn2QJLB2oXq5y21r+FKOkBz7T+beC7VGRLoJoZV9xi60ONp8Ux78Ad3/aLeFG8SvIhP0oqL9hz2xYRxNUJhhbABOAuFvAEqQJlO7iaHCFHGj4QyA7Si+RpT+zQk8Feo6YP0dAge2xQu8y9Je51am23r7mQzK5rFgfCWhJJcCV7D1MjFobNCWdWqqJQ77Q152eCzQJtgdb5xewDRksCZuA199xjo8/V0xnCs/5WeWCodNrxfSazZ8ICJH+mFQG1FKB63cUcJ3OLNNx0TmAgWtZDJ1epe+XCLz+PuAlBBw+UjxrXQO2R0Nrbfydcr5+UOgfdsRUeMSUAOxUCXf2UzCaddi11eqWBVBrCXr9INiPEXd/zZi+7Ng+zHj9TUTcTdBUBJcfE7b3Bhx+pn11XYDtnvtxOlMstvmwFm841TtdDWS8ak8aRLSS2LAr5l8uCPvl2zbrzeu/DZK7CB1W1aZm2pw1V10+zMBxgaaAeOWAaAjAYQICe3hpoHHQFFoPK0esGPTad95ZMGzUYgSgHH2QWPuCIIyPrJbLa3IBAFWwbYQPNBHV3R+DHRYMiFkgzsioFMvO3c/wHm1NFGivt4609yd0RAsgxC9yGxSYc6inQzuguxS39NpO///wukFwl65uiGwqw8MBAMQe2I7nmDnd3hKAP9PmMKGwjmOkegN2QBdthephFeznCVUF52VCEMXrOqOUgPUyoV4S4mvsioTXsY6FAa4bdK9FDcXG1ZQaUcXYX1wzYgfpTf9JqxVUQ7xGtUGABwpEWqaUX6i3YzslyMxFJiEg1BV4HsbMhY7igGa1WsUwjCNpJTqF2yBwStApoR4n9kqbQ0NUymI1GwGtlUE10ahGq3HRHQ+A7WBpNDdRIFo6cTgM01wgh4y8R8ZzGxdCXS0YqFbjVUAaricTJls3jiCN43XToscTN4KmilNp9JsdmI33a+usjZsIE0NvxXcMTWjx13htR+RdOCyFlshpPzN6F1wBeHg1yro4NVwbdYjBJKyu0BIPO5klT8cj9hLxbrmiquDj6wnrlrCvCXU1Sj5zMqYwC6O7aUO4PLkiCnOkaxs/9cSI2ZjWqmZIprX15cwE/7nRz3p7IH/WShVCR9QBoAyqx3iT0Jkmvq8qAzen5btK9dDuxteBi9h5XahOsTm/7lQTXUGjPtGB6oc20AOnRtkcyiFcNIO/M4XHyahSczXhImm0/2J0RAYkdGrolHKdA0A9GPqqRKjCVtAEyiywCVux0gUGvnQoS5+XZAr2PleexCzs+8x2J8qAZPEMlTREsqFfUYBEFVZRNduNRnfUhpTD6le1s3fEnFsRyGYtS4IAx+km4dlEbIogGI0875bo2nmtsAas1xkvQfHLegcA+HQ94rpznWMLCGtAOnf2U3O+h2Cu0XyrBTnTsIZVm4NOB56spBZ4xcjEgSuN1wpcqBou6w4NguDrDTBGVUVYd2MuxOZg3+yRcc2PatjCdcpa4f5zDQFO/R42C7wkoM4RepxQrQuBC+wQTUSrmXSz58rrVES2EixjnXGNm66JJ60r+jq3INgnUxO4ruYKFEGZWcNYDoLtrr2N5SqLABIQtopp5dlavVd48BrmwW64evdeOLWWTEGlj+J1+6Ksow4VcNE7qPD3hua+TT64vkmjEXsd5huKLemjEWLtvwCO0f5uQsjJWj9pD7JBv0ErIJMC0fb5PlDBQUGeuhIdD6myFrdG5D3geV2w5wh9SYhXR9bo/MeV6Nh00e67WL1luZvoX859nOKFqs86df0DMZbi+BJ18S/XPqBdqVNovye7pftGLSkP+kxwltBeobki5J7ArAmYNiBlls1U24cuhBR2IL0S6abKszT/7PCz6R5kxeXHiQmX2UEQrs24AfOTtDF2xXUpRGjznWK/A86/DbanOL9hB+I5ID+yBIhmlQxEVdb/aqRdb6KjgCXvFfuD4vW3oaPqO3D4WBFXKhmvH1gjO71IC5yCA38CyAXN5nkSOq4mhFTRgtL9FBrTiGuMc1CrIMyWjNnox4aZe7wsrAEPswXJgaJVjbFU1ZIo2u4NIpheFctTZaxx4LpOZ2B6pbHcj/RN7v5UoAF4+UPE/mAMP7s+a1ulsVw56HaeFoG4vpEKwjVwfCoopOZlJpaIQ0Hz21vnCIWpe0/Y7oOpwxONZmLTtV/YM1eqNIFTLzmgwjnZQEwOwPYSW1p5QsrXWvXE4ezzFREfF+RtsMv/xOtXB7l6XYEHo1tcM1ECE0kajVy5m5HvZ4StIH2+8iA/zSgmZBCvGXWJ2O7YV2u7Jz/eM1j5xKwSA1pYtoublFk73o9kIGaeulIFtQiqetBnB0UR5OvEOqepQmegPO5AFegvE+KVvHupzLqokN8f3ycKKFg/uLBmBlOt96G07L6m2AJ/eb0wK23tTxyd0SmhvKMMeXxZKWKSYqPJlePUHQiAGUwFvP5Oo6AcEurMAyxsJjqyFSYK7pgh9HoULkAXv+mZlHa4NeefgeD0Zcdk1PF8MjTJ7CtbNVGmHUgoe8DrQpru+dMRslpB+y6YngTTC6mb07n2zaRA3CrS8waNJlITpY1tuOaOGJrzKEaXrO9OKPcLwiUjfXqmcXx3hzonhOuG8HzhWM8TaUZrac4JVDnOc1/+KuD/746ky04JVVfgj/YGEaKProKdIqmKRvsUR3QdcQwBrXWT7YF6SKhLIh37xPqRbMIv2wObfo89b+vMTBbr3LoxooCD1XJZEkeDBbh+hnrQJ4rjccMP96847xM+zSfkPWGbyGBQa1cUr/yOGIF0jhYshi60ZhQ9saDWnSLZcwtYbyj4Vj/qCQU5HujAXlcKe/lBPE/Acemf85eh4WJj72iAOEU0VDoEwRy0qQswaQzsgzwWoDr6Vnr7LY0e+BnyboeBVGXvvEjnv85Mrqw44OUh4fPxCgXw/PkEPUcmCpQJH1LuefhHUz+k2mFlplz7Pm405aF2m4JHgKy3Px8DKCZ7BiNcrP5fxFqDDWM5aCA0h3Nwghi0dtRA5rl/nwcShYtQTOiONsO0BGJofUTdGa5zbKJSRHtgAkdEuDSx1YHT1LqeAgNSP1Bb7ZcFxVznYDAYFXLMCJEIgARzsFVQckAOXM/6amJzFsi40xoisN8lxCkgvexIL+YBpdARKQDhZYVcV+gyQ08LVM2ZL9qTkM7kGRI+ko2xEJXnSgooD+zTGy+7iUmp2Qmx9idEwW8c/jYxaH01xRxbZ98w6WW9MC3RUueIvHTv0JkDKNpYSJIj0iI84yJvPV4E+/OEcwX+utwDAD4/nZDXBL1ExEvA9Cqt/yTLGsxZt+CI9FDAWTPVymSkVIqgeSIYQJ2t7McSxgiAHpLVhdHuy3VHWC+8wZxpE/YMiZGCjYcIuVaeszGi3s+dFWLzw2TpgI5tXYDHy0XCrogXY2sNa4BlQ7fnLypQ7xP2+4QyB4rWtA4ElpQ3BVNHk+Ynoka62F73Y9eE0zQC9eCsBHT7ley+VQDTGoAFAGnJqCooRwrs7Nr7iqYzS5b2Y0CYFMdLwfTxAp2NTQf05KWvCQGC+wfnnWN+ZOs8cTFLs+tqNe51soDYxo06hNLKR1qAsFfIKzUyynGij3KK2O8C96T32LR1XU9mV3ybRcH1OzK0pteKdBnms1LgjGsqsG4vW52yJW6LtWjSKMgPwLRkpFRw2SfsJeDjzw/AJWL+GBtt1du1JAtyl88Z0/NOBNaQ8e0xsd7fgpa4VrbtqkoxrymyFjZXzh9z4AOiayweD1xn1lQCYA/o6n4B91B8sTaQQjFNZ3fwnM7Q0gXW8gE4fmYbmjKLBU99zcWrIqwUoawLhbqCIaGHXwpCUbz8fsbLvwjIR2D7UCFFcPgrA7D0qq0/rQaxlj5MAnxeIrYPinKoWH9UyB6wfAosXdusveED8OHhjFIDvrwcUKzNiTi7bC4oq20O8AyIc0H+YcfrfaQ41ZVU/fs/KpaPOz79mwP2//UF+8cD7v9T6m0qC1rbqLB3pNCThfNLJa0/AOUQkA9ERmvi5730yNt/VTKDkS4V6VwMsLA+ufewuIatorx1VavlLrBWYYr5maWR80vF4a8r6hKx/35GTcDpbwXz047LDzNef4pYvlS8+//8ApSC63e/xeU3HEsPLNOZz7i+VyZyVt6DRkBzaNIpUGB6FSyftN2LgycQ988FadcmLOYo9XYfsD4E5KMg33X7KYXvnZ5oE67f8xxwxNo1CfJJUI78ebqgJVWCKOJO1LxMJsLlDAYwcZAPTOhpnJG3Yf//E69fj+QOzlPLNrtT+g16YMv4WeAi1bJAJqZRp1tRDM/mF892BnQx19oP2S7Sw79DEVQhGtSyxtIzSRClA2JZAgkmyZ8AiUCwYvug/n70OjGn6RSr1xKB6tQRFh8XoAdV4x8ArU5zzJrumY8x9yzejRy8UaqoYuvj41loc5AKD7ab1gcVpH+ItGbxUe13pjDXXu1z/Rmo1qk2rujBriMjO6DXgOvZMg1boPExdTwXFQhDRlwKDyHJ2r7TA18PSNSQEgnBnJQ3WflRDMPRw2+0M/mqNUv7hTkM6t+tN5/5OoNfO2LriMQYcDi6EyOaUrMjNTbnvs59TY1CI94uopozX2dDrEwOXrIgWCB28yR2aLZrBuUfYZAb7E8URUoVqgUlJgYNifRwsZoIBhSCUILtsT4/ba87XVXdSR9Trf/Iy6m6I3KlrE1/aycAdAbIqJIKQGGqtzE2tM1p9kRkh3E3dYcbKqQzSIwNANi+EtwEFz7FpHYz2A2boKwBn89HTv8aIHuwOlAeNHHzzKfbOltHo9hOkOZg93tCtxnGsgCGdfmttTv+fER5i3z7M2+CJ2cliA7BUEpfJWduvtPrIGPoPY2NHdF6WaobTcBRGVdP9jYo1Wqdmxo4AA2K4E6yfZZeiLb5gBh6OyBb/DHRzRgqJFTkKtAsqBsDAzFF5q5u6WI8ZjfnN0fhDX32jf2uX4+7C+LcIOz+WQ+W3tjzG9vgX+sCPf6WN2I/jZVD1bhWCzn+vqmz+4/HS0ifF9eygCiTC1EQV0E5B1RM+LxQQX4/T8AWEF+pkBtWNEfNlUh9jvt9GC1ffd69Lrp+vS7dlhfy5rx+s7Gi3F9w+zqwSMT0LBot1plWI5IM2GeGsbZyGK/Ll9gZPm6fGrW0sVlqu5ZOVgMK92sEAYqcfK3Dzmg65ij289SRiTY3dqSwZErIrHA2ju+BpkADIFWEVCFRMc0ZpQRssSPDMtnbPddla6ZGsixq6okUno0MvATGUAs8lHRirbmOCUjXXHGmjvX5VWtLyDM79LWKbl8BkHZuybP6rYSOoIl5vhUJevu+Gj1o6GOjTsnRPmR+xvK9rLWN54D1ZcGWKjUVSgAsiRMvgnSlfzJep1+vJ0D8/qQySJdiPo2/dadP0soMJNLXxMBy8jXk9sEQ83a2+byYyjfP+24TmwiXC0qVnsScX4w1NzyH15oCaElYKOuIybrhnNbEPZIPPdEgzlaCrS9j/dREm16rYDWqtwYGYBqBql4m1eeDNkhw3ia4sKa8nXOjANfFfp4qFd/9Xkq/l3wQxDsGyfvrjPQSMb127RepQIZAvZ+3CbXtxqAry1BmaPMdNu4PT752zRrb2wD2O0NrrfRMjT0EwGj0ph59ICg0P1vpn9nGMjMhxoQ6xdo83sgHgRT2znWdED3OLD3a0Rg1rknU2uqNe2Y0fXYuwnqGl1magJrX4N4IQpZ+naaPEdFYsemCFhsAljyAIgs7sDgzkboAhnQf0RgsZRaos90sBzSeI21tw/wz+/68COq3/MZvvH59Ta5RsMTbHJjIUleZNGetVKSXncHcla11wpnOaj1NKKcJ+Rixn0jfdHGFfATKgcph5a7e0HbqJaAuDKS8GXNDBTZusHIwZyCYwmxUyFyQloyUKqZUsOeI6+sMLQFYKkoUsNeQZUcu6MZOYWqsQ8N5Rc/y5toz1XnIHovwYPCaWq+rW3cG689n6OsZcneyQ5XUWPF6DE8CmEqvN4AvR6+3Ymb+piYqV2aOjdKTjxHr+2j1B5VZqZohlU3YMYUbx6BM3LRhV8wXSoWzubclA7xXcWYmrbwcmB00X36yAvJWhK48iEugNP70TOS3ejP4a+kBqQj0OFEQpijCyqwya7grZM2Ir3tX27SxdATRaxSbQmlbsBYAxdhoUOGaOWdrNsrQTtXJoeUE0cfCgNtFwQDSOwfUDCm2ljYt0WPBWE2kMKs7QgJb61Yjck8Hvi7aRDFCVOTXBLG68bgOTmoVHnwiNA6TAlER5gIJihBIxwqB95pCxXHeEUPFfkz8/k0QDm7weGiFB2/5wCbpATTWqMKadQvuUSzYtNrahmb530APCvadKFgIkMVOLK/v9MDUUYWhHVY5mYkySta31IEbRdmQLibLggWZBV5HB4CO6Xz7eUfRGr1nMLSTtUYhfUkQrxHX1wdAgGQtsaYv1jB9VzpHlvmnyBERBrYNMbqr0UajB7Zez63m6LsT6bRuV1X22ldDULFn6Lqh9R0WQ9ZH9kOKFMMbg4NoLVNiZLsnjcCTDcZxgS6HptzpIkB0drV5IWpzJLW3i5Oi5ugCQbwfpVM2qVi935OxkE+K/UNhsGrqjPVCEQxXtyT9yQLRoAgQlElJT7bCOK0CrVRZPt6t+HB3oeNRIvYc8VnuoecISIAr0gLWhmWlU7POE+RhsvkyNswl9wApBu53a8/kbZ4acjsl1jZavfVNwsGCK5ZVFCsHYeDb+pDCzs8Ymm3vi7N1w+2HPAAEK0NxBM5t5hRYOwrcBAa9XnIIpFUxPxcGxSHC+89PLwFlDsg/3wMCHDZpNMT0OqxrU51trKLFzgO7jte26ikhHyImL0FxhoAYbbuisxpShMpMZPjlCqwbGkU+JeBI5pOLMsp1o9ZHCKh3RyCgUcxv2BBTAoa+5/LuHsgF6emKekiQOrXzCWFosefv35SK/wC239wjHyNcRC5UYC7Vapul0fHpyFFgRyrZaBT901Y3570v41kQBcgaWjtEAIAl37n/KxAV82nHh4czYqiYY8E1J/z584EJHU+YXpmUC7s253R/IOtr1L8QFQa3u+temKbHIqgPMyBO5c9cr8sE5Irwyno4fXdAOZj9V4oZFSsDSOfCufCEwVC+QHYM/cPWs9WCVIo8BaQLxb3KHNgyREknVX/fbCJDF9a25rvU6bBjoNkSPoL0ymTx9BpQ/zyzbOJugQA4XkjVPfyiOHyqRJPsbHSxx3IIzCJYgkQUZMcpMD1tCJcddUkodxPkWhA/PXNdG4tPYGdLjC2B631+2/2WiumZgImz8aZzpk2yoFkR+j1YgkjWDfJyBgYk94f/9xnlRzLxnC6K2IPG098qDh8zrt8lPP/BFSxpr9f3QDlSqC9s9IOXT3aOTmjlVRCqA28/FGjg+KIK5s+Cw8+eiLPgeoIxe0wwcxc8//kBSBXzw4Y0ZRSZGjBT9wBExfU3GQjA4XHF6bDi4y8HHP5iAoYmMvvy+4DzjwHzE3D4f01IZ+D4czaAgAN8/mnCutha2iryEnD9jmtpv6d/Nb0C83NF3Cru/oohSctndUR8f+DZtn4nAEKj2UplyymOI4Pny4+K/F3G6T9P+PHfXSFVcf7dAfkouPyGAlnLR1tb6KDey++jdUTxxJngy//1HeKmmF4Vj/+btj66+RBQDvRJ4sUC7UAb5IrOmgXp5wlxFWhUXH7L+Z2eOSaOdPufdCayD7H5jhQbqxNw/Flx/18yIKQwawCWp0J6+/fJtAaA/Z4xwuFTxfxUsN8lCqgGAX4TENbb9kLZEmde3uH6GfnUqdllEZRtzDT9469fj+SOtXlAOxhavZC34anA276YKNVA1akbwSbAM2RLEkhrMzEpr/zXpOSZG9wqOpzrZsi9pYIjOgowQBAgxoplyr0ZOwCvd/GejLJ7kDlkFj1ZaG1X6LRQPTYAFCsVr1HxjNybcfPgyzN82WifQ3AgSol21nYBjmzpKCLi/0ePFarSwdfKA6xlxSxT0zI2lfOk2YyQUTa9Ybj/TJQHoER3YtBEF1rWp3Ahww1ZQOtb2ZAtBUrL4NGxU1NG1AqqMVog04WwAiRUaDHEvJQ2ruL/bnPOTGejhPsYv0W7msM3/P7tnzdCRzqKHgEdtY/2QI7ueDDxLcTGDudRMXnMClZDVjUpkCrSVBBiRZkC50jf0FQVxoSwZxsfz+pMCUIIcg2oSvGMGCpCVIos+d4yWpjWnuUNe3dOeNF/JMq07H5Ds94ilapEJxzV8nEbA683Y+VCJWUKDOIyky+jAEcXjqotK9pUKH09+3j7y59nWA9tDQ/jaho+DaliTS0DLhfqUrNDcTVqoNea2x7xvdSCJQEUtielTRRaC6QqPYDy+3NRum8Jw6jahIXukFfPxNWuZO1v9/3Q0DyxpM3tWkU0horbJhu3ZjgBfl+0jToK5Bl6N36nO4hOOy6zsoXERDSq2fPd1jm8Lgutxtkz1LxHDyK/XotT5D6dQsVVlG3FUuAajwBUWm27C70B4EkotGHBn9cF5EQaQngzN4P6vdsUij4pvvUi1X8c5wG1bewVNDvRxt0TC1bv6ej514qrto+lD9HbQLejlfaZ1rqHtbqsPbR+nJXf545bvFgSp+rQ9k3bWPL+HNlFO8Pa844ot3hwbshUYeKw3aMzZ8zuqpKVNaJfHDejc07SbYtfczx/3yLeyVyfXCA5dJaQj2cc7YT5/nYtR6ZhAS58Wag7h7dobqsjjyydaq1WBEyMOFKk6HXpADqKa7bG0N0QFCnU9mcKDH7dflMIdHBWxfZUhPUBBZOjLaJBP/cj2jNSk0QQfRyC2a+3ZCnxW2Nysc7SxsJVj7n/xeo+0VRrQ+lsNmAYP/cBxq9Rsws+Nm/eo8N+8HvsLCs0JFeDNuXuMnf0zmsP48pSE+6j25twdmEXfXIbpa1cRuah80UuTcjvq5f7ITb+I7ofXGjTn7XCgJRv+JPuX6tC3/gt6csV+uGhI6eViQ0PekgTr30P27VrAspJWSKo9AUYGHKuqunlOO25LhS8FG8nUwX6NJEqK4CLB+ng19eZ75U18BFKgLgT776Nt5Ix0bWUCmLgMzgSW22MvOXf8kkxP1EQj507lOruAiazbN4aQmmoYp0BKBNDdXKqbQW0EkwSS2A5G8PWl/u7kg3b2IFoQfW+WLL3oAjHDI2TlS3RqHhrzjIrg+dFOgsjEPwoR7QxKRXY7gRxEqRrZZ9Z7f5GX+u8D4o72tllPqT75eWEloDzVn/jc3XWKxpDqGkImA0Lm61TW79NfyRrSyrTDvT7Gvemq1A31of7xUA7//38kWJ7RXytfr2lvvX69UGuowpvnPr2T6tfksjsrYJ1NCOF0A9vFuF3h7tOMKorFdxKIloMyxR5LVzjkgMtiGvNn7UPlFZC42WOpsWimFOm4z9VNqlGBIpNvhlECmOx/QGL7bU3Xo92aJjDrVEgCDcBK+vkjCYZhVlrbzPjr2mCnEBJf1NOBmCZmNBqQMridW9mZOLg0IPj4AhReZ8GQ0QH5vDJnAY7xPIxIpj6ppr4xvTcHe1ONwuNRg4AyxMNYz5a8/B2oKIt0rCZ+M7eKUVu6usk2N87B8WdrB4suXhJE+kJ7OEqmFm3CFgrAYUryOo8dSqtZffF66KvKxGusd3HKJiD0DP/36I2q/KgWubugAGGcHVk4YambvVLGomkUW00Q5QtEXoNlzRamyZttbUlsw0T9gBXi22Of9s7Nn5ZgJ109ZIFJSjCUhCi4qwz9mI1LSrdz0wVOlFJD8q5DKkbyJAp31/B9kLsO7yzLtZrceswFuOz+9/ubPrBOx96yxkP3NyJstYqjuLWJSLfx+b0+HocKUN0vrvapq9tNSqbr+nbubTPu3JzZj2h+9Y0whUtmK7A/MzalZFq5S+vvW1JBqObhd3pa7XR86QosNnP5tRpsk7ZtLUlIxoOG0Orh/UWVTrW1vp4DmtQBgV3skiG90/WWisX6IBw4bIC09EUgyN04npviO5IFd14PT1wfdfjBI2hi6q1A5w15+XIlmPlpCjHirDwe+segCLW0k2MTkfkViybq5mZ53ANqC7LbNGcTgyU12nG53REUcG2JVTrl41jQd0FemHNoZrDVcwZH0spPOsv2XUPInCYWyKC6GQZ1u0QDIXAul1bPlyvHlRKmxudkzn8sSFrfDPY3sepvYaM7fesTdzeMaMfV7VgtIv2+fc4UuZUQimK6ZxvSju8YwDR19D3gVH4pjODzfkL76l60CRkVsVVyPAofRq8bMYTmiHbs0YmqFrrl+Elvq52V+xlKUJbV/NEMcCmSi+3vd9bQKtoavfOeACM2qmWTAhQ6YGGHiZS9jJrSYOJNjoTwdvihL2zdsoj6dthK0RuowkHHgTXx0i15DuiQvlkrVUEiBfuGRdQ85YjjY5ZGViJorFJXNxHKhBeuU7LgWy06xbwx8sECYo0lUZJrscKaEDazBcwWr56gn5w7OGJaWvTE0z0y9ecVEV6zeY7WZKt1jaH9ZHqVrIWTHuh1sQSmRAf7CARVyJMfDCfe+6RMgn0YD3Fmyo331QOAfkU4K1rbujw5vvUSH0LqjEzyV0O4ZYNMXyf+4WauoM9PcPsgDbbXWZptH+xYFCK9vIwS+74XPF+I6QcTH+B41R+en9rC1oCx8a1APF1g+wFdZnIKvBkYQHihe2HoIo6Jwa6LgwZhsROAPfK3RFSA/CL3dNpQj6xZjxuNkYVyFanefkuYH044Pix4Md/94pyTHj93YwykwZbp4ByREPv8mn088nIKQdeM/0yQYOiHul0z8+s+cxH9j9FYJ1zLUD5vkI+bNAcoHuAbAHxPx7J2jmS/RBfA8LnwP303Q4JiutlZiuzueLyW8H0FHD/9/z+/eQdEQTX7y3w+l1E3JWiVBuTOHGD0cFp75eP2lo/AcD6QfDy39H+/ebf7QjXgvX9EetjZ5jGK/Dw93ZGOJp9tDpSY7XUCbj8xvqOZ4H8ZUG8APsj20eu71jXml6Bu2toQen/n7d/25UkybIEsbVFRC9m5+K3iMjIzKrKruoL2WBjmkAP+Mxv6rd+7Kf+APKFH8Av4CsJsDEEgQEBYgZDDqdvVV1ZVZkRGRHufm5mpqoisvmw9hZROxFZk0A2xoADdz9+jpmqqFz2XnuttasQRGgJtbXw8cLPdisoG6wdmAPH/fodrAHQujzkg2B5HvgMbyu2+4p4DkgvZE5xUQPDxeM/SlhCJistT4LLDczQiuP48kvB5cOEdAGO31Y6Wt9HOPXbC1xqLV+Xt4L1jjnJ4Xfc94KBrMubgPUuGMikbc2zcs5nOpy05R1SFGXZxTN/z+uPN576fdbz7QdY0VRvpxABDZEueIa07nVJwRi+jgB4b9V8AJ3WRKE59g27Baz+px3k1lpA1DdbAyWUzpu6BZTEfq4AEFPhwZ8ECiL/dVBIEOSgCNZLMOTu2gfwM3lgXCft4jSUYEFNMuffIAiqCOdqia/9XqKOU4fEsboaY+m9VI3mU2xRduSfPxfE7jcKljuj/hhqOn0ihUhFkE1HUCegatf2hqyIl4BQakPj1YKvpvUCEa64VIQcITW0QxnoSE2v+mpbdG4D7j2Qm65LgGCVZA1iVSJParyyLKQtIf6ot6gGMUdqUgvZv7LPQawbdF1prDMC3gai9RF1De3vqcKgVia002A9kT2IYyKh4KF1pTF67YJbzXHRTGIcFOBc14bAu95QCxFOWNumqwrh/jIjeDiYvxCM3lkDACnQLSFnUqVC7BC0BBDYGfh8qmtxVgA+J6IgVNNgqq3ZYmOfM500PdlKCVc9cHc9J6+q3E2zHPr/AWZc1M2wahLkKXT0V0ybbPuDBxtAsN6caNUsRyYhAHYBj9MpfU4DQDTKVwPFDErdV9yHc+0Nyu2ZyqupsjexaOhj1cYw2esFGdBaCxgLJEUUurkZ1m7cWmuqwoq4sz4koPfH3QGN+7F+PYd9HGIg6l/LlYZLt43zWJ2CSlpmcMCiAQPVWtT0FmneU9R9Fegua7KK2aUnRP0xKGKsUKU5ILLp+Ff01k0eYGbiVp6EeSs4jivbxulQUbeAyzqguLGgAnGsCJEa9MaeAP9skgvV5r3VKu8+9lGgkaAM96B6VdVr88FZNtPA63btnIG8++dSU2hsnDJdJ7mtxYv7EwSg2piutp8PzwINleZmFkD0Byu2VzMJiCso97CkHapcZwpU6evMxzNuDtgY8CPSTMPygVQ9aW2x+hnYEHufG7bGxNfKdg1EtT3xdX95+x73eusnvOQ+5q9b8Pn3S2Wi689pvw83AKh/T8cIXKTNdeRKJ1+xOe4/qtpovOXAAyVcCsIlAzcD6pjY93PXb9jb/tSJ+2rrd2tGgnFlgLfXeu7NaGpCQ4Ol0v227U0Z0BxQtwE1KtYx9nk9FeASevLlld39UHjlWYymXJU96F+DugDiYsGYAzwZnZpuppjxeYGcDJSwFktBd8CLzek8sZ2R6z+9Ou76uijGlFFtoGSdOffoc/AqqTSGCGnhYqaaGSErLQl2VHM+QwvVMg+FYlVL3j+ugAePn66rwPyiBINx5F6rCKBRm+fPQHqijMTbZTYwYWNbJPenAcDWh+tmUp7YYxB1sA1tf0GInc1gUoW2zkKAjgP3dXvVKbV+7yEL4saYJGyKCiZMGoDj7xTx3/0N0rs32G6/Qp5J24UITl8FbLd6ZfDKHq+kM9fbDDlFTA+Mo9ZQgcgkeXyptt/Z762c5zoobm8vWJYBW0jAJeDwLQsxL38iWCc3MaK5UX7PeVw2o0ekivJWES8D5k9MsPAFe06Xg2CbbU8aYLT9QKOp4GcI4Prt4UVtzZrh0RFYfrFBUyJAd1pRhwM2M8Mt5qI8f78hnvvZuXyYcHkfUSbT4E5Auc+Itxn63YThMSAu1D6znZ7pdF/YUrNVSYO0eabeYcDyjKpKt3RLrGtR3u/RAMpn9DmtbK06PlUDiwT5RrB+UOA2Q9eh9Zx3RgJNxyjTaq2Z7Kyso521ttfnmwqdKtJjxPSRcyrPsus/bL+/2c8bCDE8Kfsb23trMHAwsd/u+AIDcFn0yTMBxPFZMTwXBDPxzPnyoz3rp15/vCb3dAHiZFqD0DRGTSw8JugIIsne5N0OT51iS/xaIqTM7ocXUiScRiBVgEc7ZHLXgvqf/lBhXOJo5hhlREcq7L9RiaCXU8TnZ7fSV84koyTKJk0vwwCVaEKZPPG2g0tZnQmOlBdtVT1PgFpLIcAS6Mjq7u5FswkL3rbSJrEiNIMBTUJLc6f0hL7plomTK14E02dtk0oNrZTCxbLecwyLJctXzc2zI/DotB9l8pGtdysnvlNHefiMT6U5TAJo1Uav4PrY7V9xtRYA0ZLdKNjCADe58iS7etK6b/0DAxI09gSYg2jacKE23JJbTxRkGOi2PKSrHq2igO7paq+TNABX+tEUG3280zdjByf8Ou13NEa6IO7iCB8XUSY5YRGkp4CaFHU29N3PspdgTAJpTnfNRMIr6I0KJG1TrJcAjcmomgpvOSEC0oCM7qmTks0yC0IE4hmWAIv10g08HA2wcfMoydRkwrURrwMlH0OR6wTYX/5/pl3WMTGgt0pgPhDpdI0b52XYBaA2r4XgzJXZAji2Nfbvi2pLhlswDAZJ12UCNHpTo7Q7PV9YUXQa5/61N1FyDa9GQExaoJH04HwcLNG1xNEcnxnQmAbX/6yVQALAIEgEsDZXjZ4WpFd1M3WjGAeaSMGTEe0AjP8e8KNkWKaxB1GepBujwjIj7mkbr0+iAiVAUZl8WgUbZjzkvbnT2eaaSRBqEWzFHV4t6Pf8ZfM9XRDPaE69dZGrKrof/KEANUXUNeByibb58HfKJZKGewrNvdmB08aMuKJPBfaq9MT1J1hJPm5NFpG6vg7ZJDildI2y6d9biyW/ftv7nFWjgQF/M/0QWH9x0zqOxqQRA06iIB9fA6L+uzbekRWmWiNCM63x88MMQVQJVmzcl8Pak1jOmWCtsIBqtHyOv1i1EJ3GWYA6BQOqpQXynlBIHlriL/t90plOAMSrmTZe3hquadRtDgPgvuuac9+f93uMauuJK7Wzp2TJ0PGAOg1X49dYEFsluBcE5ciErkYDpHbVuFZxszELhfuVy1McBFfgat/m/tF7dDZmSuEZDux+Vu3nrR2HKuMTl2tBAJQeCzHIpNZOA8GlJkGxOGsv/6hDZCXXKrVpK1ZpdMYC132TBlUwyfd1MCRb5/YZmy9kjoObzeVo80X7mi6znTtZsN3w2gZ3wjWmTk3Aeu9AulxTGtse5XMSLfHzeGZPr04KaLBWQi5/272XV3RD8Tnb39cpt+5TEg3ozonPYHyuiGeC/23uwpKOlfpkP+dQFOFEzrQO7NqgQ+wgqFXMg8kSymFAmWNrr+jPQezAY+wNxkQ7xsLTr2bEkQlrGYGnX3T9tJ+fTFYD9Jc/Q76fsN6F1q7FaePxzIJImVltj1Z5hArKOvTqYQHGB67jsGqjpfsZHGwJDp8invSOcfbCCt75Kz6MfEuG2XbPSnGdFemYrccrr2s7D9A1oCbg8VcRdO0FvGWXRlh7JDRTJr8nwPbFyaU0Nm8NTNFPAsiA9Aysbwbkm8Sq69HWofIzLh8S4hq5X6pVI+/5XunEvfuy0N9AkiLfEMjZbqzd2NTzE1FWXOfPijICp1trKRltLwbHVgoaXToMACpj+Omh7xX0gaE0c70XbLcRLheQDMzfWNsuITtkeBbM3znwzrFxs7HqFOURkGzdVCxf2G6BbMUojn2gr0vsIK0nzFKB8oLG0F3vraBm8Wy8KKKddzUCOrLS7ecgE/aC6dsXgrTD9bn3973+6CS3vrwgpZmB1Tyi2gLzA6xMA+oYEF82hOedeVAMqLd3Zn1viFUWSGUwMj4yyL98YN83qcD0gycR9uFWAaOJCPphU4gYhaytKXt7CQ8RTWIuh7E1vaYmyxarA7/SE4kygZNqA+ImDQ1q4n9Dq2VjgLNHpsWCQ9di1ZsJexqgmJkBv5etqhs7dUVJK13vdgs1UCxfE7C9UeSbiuExMGgUTkKNRHfiQiRueWO0Vc/N1h5IkSawa00BwPtl5jkgZCIpUhl0IQjihZt3vh2QLZhr/b/MOCLPEdudGx9oS4DTS0a+MVOEnS5yfCgIJ6t02wESrFdlp3Fbm5haW7WgaQNThE5m2/90akkuvz8yKPKqgyrU38PfNwYmw3uaq/XGbT1ZY2zUUgBwt99mOAYwOLNKV01uhMT3jItnqXbJFwuQBsGWebA5K2F4Ci3YD2s/MEiP3+VnFlh5FaxR2AejmAxE3zzAEgXqVKGHghICNbiLtEO8DkDRAKBCL9IOWxkjQgrAVprxjpQKXJbrsbTxBMAWS1759oq5GyMNrMCXORk9ivb9eZY2v+toAcaIJiUIK8eM7bF8Udg+YLS0drgWBolARSyv1nalU5/k2ugzjeLsY2sBrabQDojXNGivWmrgQUbTiXgdiKk0zVp6KYhGhwxn2xu9pZAlupqtjBkDjXdCsApXIG18WXs1vRTUlzO0FMQ398BgAbz3tfTrLQWk0gRIStjr2nWe+jOrlQGr0xT9OkSAdbN9nOCOwJIQof7JjbZi4H0Pz2p9CjnwerE1s68A2nOJCw3rJBNlZ+CPFoz6c/MAynukq0liyqTY3hSICoZPdEtt09E0d5JNSrF3UBVSwFSA2MArTwYrsGkfKxHuCcYe8X2BxmFoBnkYDijHhBqtagsgXQrEElfvk+1ItqPdNYHzemVg4YEVYId+5XrIc7gK+hsVz59nIGuHjJpwFfBDtSUkg1HDwso9m/NGCUBnOn46lbuOwfZsoBooWAYHiwBRZnXlwD+piwPYtB4IW0F4usA1sxoNQHRgV67bOCFRLqGyc8+3c1GPs1XPpevSPYFeTN9bCnSt0Lq2W5fzinJ/j3yTEC8F8cXBUJ7pcWXf5Hw3dSBB0avRvqaLtmCNe9Aui4VTlw30cQ25J63FTC3tmcIC87hyfoaNcov1Dq0CpbZvk3IrKC4DOpHym5uO0s7TyCqJa9riKoimUZTqQAI9E8SSV3FTKZeVWNs8XqdVW080N9KZ5pB8H/TKMBj0IsHMqIwy+c4e6QvvNR/RnXOVQfj4RLOb4URQfTvwHNhrcH0M4kUxnHfPxT0bgBavOMCkAgyLUUwtxqlJWvzRAnNLjlVC0+Q6JZXmYjw/41p5/h6ZLA2PGdP3ZzrkTgl0zVYmtJeNLSKPE8o0sEXi5zOgivLuDsVpyu4K7nEh+LnlOKIcImpWBu2KxphgrBia3l9DTwAe/hHw5hvg+H3B0y8Snn/FSt3hW+nVcWEP1vOv7pAPgbTc4VoiNDyz3bq+4d7D/q2KdOoAnZrUKT3AJAo0UNr3ffY+qIdvBOPnZJ0JGKue/+GKOGeUJZLZ8yZjmDNipGGmCAGeqsCnS0I4B9RJ8fSPK6Vs7hJeSMEdngTjgzG/IpAtTgiZe1VrO2qJvptFDifB/AP3zvMHVhGX92wFFlbmD3UATj+LkGwFuaxY3gVcPnBu33xD47J0CtiGyIrk2wypCcs952ieGc8U5VycLorjtyu224SnXyVst73dkMvVVPg7KkA2Fuj8veDwPT+PbSilyRi3G/YqjotgeOT93/2a9/n8JwHnLxXjA3D3N2QePP1y4Hk60Im6jrzOxjZZWQRhniWsKqslrdsOKDKtfcjA4YfczhkVwdOfjTh9xXN+sjZf44s2OYDanuWU8/GBBnPjpwXyV3+H8P4t8ldvrgDov+/1x1dyU2JCMI+sxPhizX5TsGDcsm/rmUc9jZpNu7ZyOQ9hRVBWs9jjaidgdvBNfcPbVSNffe2R0/7epguoBLwaxdb0dj6hVJj0etDsFAdRGlI5+hhNg+JGUOzDKY0e3agnXuWV2lF/4ArR1mDuq2LI+hBNixvNnXS3oUQLckw8nm8q9DZjQ8Jyig2VgVhyDi6SYlovP6w0CB0LTfdIyk7o42vIaKvyem4WXW9laGWr4Egbp71mWAyR9DlRxgAgXVV42/O1SoMHHCHAUM5OueMvKJrjFr/Rgp9mOuLGYNW/LFBS28SDciJgd8BUhe6dsdtkd5CCf1egVUO7k7I2QMNb1Uiu175j9hkhM+BuEbbdVlwIXTVkfOmbc9MN2fz2ddEquwImq57s2v+JChnXIXSKvArEzb3Mjr8Fwa3aY/S0MSAERaweQAWIVEtYfVys8b1LE/aV3asKrl79n7oTtenC3TncDyJN3Gg1KTUhE/eNmAQ187pDC7BhroKWvNjzqcYuYLWotkCTny99Q7H12CpQ8Aqstmct2YOPPuZ7emSjVwdBtQfTNNW2n3glTjPBotaKrHJMr8zSVMG2YeHqc/ZU7zbMDiLszbVa6xN59XvVNNrX7+HGU2oU5JDRr8+SD0k02oMnqiKtOtjGSBQYGYCSAms6r8T5sKdhAbYHV+7PbDegLWnb98vjM+N9ePAZXL9U+EC8DUPYdtUYAy7LBIQImpAqKfDejkAyoEr9dLBxadTjSGYNUrSESHb7jT8A4dyLPSngvu/0X/u5PXEgOBDFZIBJbjcBcqq2TUiUGdiK06fRAFhWzC1JsiTAi9p9Q9f2PgJLJF9JNFpw61p4e6b+rK5kFlH6n+IBln1+4Trx9l6UEwlUbQwz+j7tY2fzc986gmNv45msh3erKjLWoGt1aL/fgE33ZCi1VyYBcyq3H08BdaYe2NsCaQzQWPtz8udmdPNgYxayQo3ivWcZxAVMQr1K6/NLQYDO2ARhffX+dnb2h2HvFfqcaedy7WN7ZTxjP1NtG3Y9KqmWlvxqtApjhbj/RSGIh9HAMZfiGAjp16Y7sNl7Y0P6+eVMkDITHLmKWQbOg5I7S68O/cIlODuACbxThNte4XPT25608TA6b+0/18ZEepynto6prTeZVO4UzD1Lbr/fMC6yNSR+L9J+tiXSJksj08zi251Le0tgi3ZvETVNtN+LzTN+49X+rmA/4D3d2WKiZny1m+fxbHTvVZs+MxQmLxqk9Woto2B5E9seohft4257b8h8v1ZEMlBHDGguFr/VxOcYiqJWaZp+KQQtQrb9yrtMTKBDsrspL+x/W0NEHQtqjVgXjlWtlFroGoFR6eVw8jXLzW4vl/Ne3mXk8xxOiuG5mrZ2xwpQ771csN1aj3HftnwOBZ7jcUNvERSkgUp16N/3SqhsQDgH6NgN58q8p9oTsBdzq95uE7ZjaDlH8DZJvp9LD12caeoA6J6M5nOJjFbpFVWTB/oacgZsvmW3mDLBGKEEQ9r8BtCVbhZbFVir0A7M+ZyRC0FkUbZYCvn64oYTbC6i52z7HO0CjJ/t76bRrWNEfHMPPUzcj8r/Uknu/S3Khzvk27EFw1IV6VJa9cONV/LbuSGgUFI44vPa0PKQpInDAQb54XvF9Jn89fWNXN200824WUof+N2G3ypaVVt1x231y0jKAmpPpP3lh4pYL6pQ0PoD5gPtw9NJMX/itedD/91hKxAQ+d9vUrJuwCbAlKBTYBCwrNQFHSYghRZs6RA4pkmQDzRS2G6pFygjDVx0UJS7Ahkrbt6c8cXtC56XCQ9fzshrgnw/su/hvpLti9Ym6vjA9j/uPBg20m6cJqRBMLxUjA9OT+L3ivUEkwqElYfG+FgsCJB2CNSBVYS48HDj4hcsb2kawUB2d1gFC/amHcWiBqMtK9LDgrCaFrdqC8gBq7bUCqwEGiCdtiznBc18x52ALWmVwZL+LVNran/ftxASC+L90Pf2Qz6OLTDZ+4kZ+h1OK1AqdEqN7ktDE8H8idrh9caouck0WOjmM74W4qaN3hZ3GiW/jkZ7s0N/velGDL751DOD4zoBNVJ//Zo6J5Y8V2M+6eTPCpiqXUPkmvaEUgGafO2drfdJ2CsH3n1g65XuMjG5cJfBfCDCW0fFdqfQqSLcbJgOG7Y1YT0lIAfkY2yIcChGSbXk5nXwFxf2sw3ZaXFKTbMSsIIF52FloFBmajmr08GKIp229n/76i28uhhd445OWa4emAHJ9hFNTHLrFAGMDFIMzMGWyAC5rHRgTZEVXAfSMunCWiqaoDRGyM2RNaTBKJy1ss0QAG81pE5phiXAuqNxWrVax2QViQitAWKygfZz09ATDXveDsbFS0G8ELUucwCyYHysFigFpMt1cNGekQWZYXWKkzYaaKO9VQalNYlR2QXyxOvwfoOaBOm8a5mhuyA3AcudSWMgqBfd0ZgJ6tAhktXyeGJbEBqhJe6d0RJX698qntgCDajU0eZ/AOdSrqbNlNbSrSVZUZqGa3lfUWdtQU3JgjhLo7FKAS7vBZf3DF7Ti6KOgssHQJNi/ERqop+PIVsvwwIEKE0bd3sGH8qOQp2E5ovtQWPHCAnQeRf4RJqtaOxrTI0WGIoyKGoRGX8fNn6SB8odzmvvD2/ztRkKegI8DqR4qkJyNOaCVbq23IzYWuLldPshoc4D3CxMSz/g6+3EQNwq09tdgjM4GGzFnvS2e+O95lteezoXpKcFYWELIu90oJHzvDwbk2w3ZoC1vTEtdQez0KslVbHeBKxvOC8P33dq8T5u0cBg0DV8V1T+CJQjgYJgcgBUNzXTBppOT7W1CFEBMEXgbrJkqu+BdQzUda++5n1+9PkkmYyRMkWa/7xPTaPnFdAyM9jPB90VKuz9BEajJhWWxpjSKKgt0VADCDYP8C3RPwQ0Pa0nw0bFz/PONDQrQqUZWijS9pP1TWLrluDnnwP/av4j2mIxQLEIz84y8fnlY0C8Gxv4JFkRThuTThHz86iITxdojCjvad4VnxbIy4WmdYcBqJ6w7yjiltTGS0H6RHaaDjsw2dgjcl4gpWsV7/+64vCSMZwy5s8B+RBRJmB9Q8Bt/p5J23YnOH1Ns6UP/78Lwlqxvh2QDwHrbcB2wzad1HxaN4GskBMnL/cBYxUa86CMZOS4pC5egMN3Geklo6aZ5/w99zwAiI980GxbA6zvBGtQYIkYv4sIm2A0LfD56wp8vaD+MOL+L3nWn78M1IwaIBI2GqRCgfWOz//2r89If/lb4O4G5f0t6hixvhuhATj++hHy7UeEf/wLvHx9gBtOklpPmVJcBNMPXC9k2wjO79mqNL0A4yPMcIpzJ52YP2x3pCuz5ZAlu5MhkGKyvQ+CbC0T42JxtZ0DvgZaIqgdCAaA9Xa3DqvCzXyP31bcfLN1ECYCl7ds0xPX3hLq4VdkHmxGyZ4+ATffZrx8nXD5wgA6w/y8KBA2+kPEhW23pCqefxmw3SnmVTA9knr99Kexnb9QYPqsePNXuUlweE8856MVGQ4/VIwfL6hDxPnrGWUSXL4Ysd393Ji/irI33vx7Xv9FWgi5S6Rv8tSv0A68OQ8H+17QtuECbAGj3qi9GcBYABCYmAarsmZzDXT+f2iohDTuequ41l7x6q55aIeFaz7UNs9qpj2vETyfVK6/04biXaMn3oqCh3/olLHX+iCrRqqh1c2Vd/9yN0hHFfdBs3/2rKhjRThkpLHg/nDBh/kFU8yIoeL5MuHlOUFq6PfkCS5gG6hXEIDWQ9IWHNBdrveV2H0LHNdrcJyM4hPRB9AP3GBoqSWKNVoz54FJR9ihYhxjv1i092s8/1do1Y/G2Db91krIqy4x9KDcEsJuLGGVOa8AuyHS60qu0ZWrOeX6fQOAmiabjradmiFeSSuFlDt/7k5bXis0C+KgzVXVnV5d+8DxtsqvJbdh0121Rnuy4LcUFXEINja2RgwAaqZuXj22eeFfvUoDM3fqz7hRRCyxoYFJ/zc/28amVZ+0VYNIh9/Nd68OGhJPo4WeINaJG6XOBTJVjHPG7WHBOVacVVA3pXPuJghBmBBaBayZu7xaXm0th37vDLL96/cghDbWje529abYVTP7GLcx9CSj7MZXevWr6WUzdbsI2iuCZtLVKiY+pnWX4LbnEq7/vf8ZWPVVFU5X/vE9atvTdeCeLkEQLHh0Sp8CjcrnZjRtKBqI5kBMB2Si6bR8zEhtsve0sXPzI1aatB2CbozXvBuGXoHqGnVWpuOlV2NaBRJ97D1IkcT9ItiwVEvYtJ1lu/nu88uT2j2rZD+EviYAzsE2wXzPNA26gSONjj+SpaCTVY5VgEjA2qvc3r7KX2Gz5GEi6FlHQV0N4BFPvMGKvfTv2VNpmr5+7baF/tQSELTKrWuLW/Bla63CisNidEj4PisGLoJdDoIw2f2Jj2mMGve22DGP2rNoF/zjfdq14E3vj0pGx+6mHOR04y0PtsLKz2fiFH5UHekD7+sLlBsYaFlGY0E1JomNlZkJAqxmEfSVH41zMK0sPT4MLFj4b4831N5Pg7Caa3GM8qFeAZUCoIJz1h2Fg3Aeq/Y9yqn+/pxRFbUaYOPAnQaE+OP53thyFlxr6owcT76vpV/qzHV7GGh7rwaCml6y2u+l+x/3vYPBO8eYcYzNYd2PlfR9fceQatdfFaJ9L26sA98/7Pf37dBqFEgyA0PhOqqJCb4zE0kt56LQIXC+Vyt+eIVUAXfT16K96ut7zH6CVDTABspY40frdM+MgNGDFY2hEDbdsS/QEkJv1QkBwlIQlgwpQ68i2jh59S1a54D2Xvtn3M7R/kyv5rdLgvz5GftNDJh26n/YBGULkCUw8d3QDK9k484ldQfO+7Xa0dbmgl07IKyYr+wQEdbSATGPcdetzZ09AEvAUPqk3d1bmegw7Rp4TV3+6MBkMxQNO8DG+tdKZWxWYRikdgBHKlocc13UgLEre7LtIF1bJMpqajxn7nMjGuPUTVm9DVNxoy67NgBGh/c9DI0R4nH5Hmzaj0uXH3HMPVdqYLYCYVFIcoCqf7/FspmadRkTQp7Yf9x+VrIgclfDH/L645PcLRsS3QNbr/T5v2EJUDMP8qBEpDeFVyDkiuFxg6bAtgnusFvpPnZ7MX3FznxAAysy7siVTrVvtpFOkMFMc8oYGtJcE6uz6UJt1PCMxgWnplFQQ9fRaCBCBfQKkQYejrS/tyQvBWz3I9K5IBoFZa/ra1ThNRP59E1p3bgBDhEaaASRXmxsjxP1kROpEeWgqHcZYSx4+/YFd9OKP7v7iD8//oBLHfCUZzxuM/7d+BVOy4B1GVBygOawMwkCpAjyutOdCJAuguGFQV8oCu/MkI+xH8pC+ktYWbEPuaJKRJl3bp3+M9md6wLKILi8s0bOBybX6YSGznpFIHxSDE8bysyxkKKI59Jog83AxbWDnmgeKLKQNUPXDRgS8v3MiS7SqrStB+Zu7Pl8KumXfki8ovHVuxnLF4cGPkC6mYEH5cNzRszUJDaDEqP0ejInRSErDWrCQpRXamoV7aYhmTr67C1qmvbIk1KjYXvATDpc3w3L6oE6NdleLZbaN5/W626ww6YAupkdfuAzmj9dB+p1COybvJVW0aKuaX+NFoAaldm/J1smABFjDzgCmtHUdsOv9Q2w/mJFmgq+fPOCm3HFm/GC+/GMUx7xaTnikhO+m2+R14ScAzOCzHY0ELTe2uFstNsXM5SD9cGWblqltkdIVNRhbHQz2SriavNPyE7w4KdRrIceMNMIrldxHSiqIhDxJM9aN0mEmgkbUM3FuLZ5o0OCyKEF7FevRmUWVm79ewCag7VrxwFqdINAn7k+JCVgmq6ThC2j3IxY3o9ofRP90KuK4ZFVWo2haTDZGksRloJ44f5WR1adw1r7IQYyZsSSbjW6r/dcbQG6IbVSFOnMqp6OgYGa7f9hUwwvvk59LfD/SWHvLu6WX7VXrwABsMpvqWiUaoK0TO7z7Qi5GdA0mKiQ80rdhxsmRbI7oMr2NxWmzWUF3ltilTlZsMF1vdwHLG8Dtjvg/LOKOlfENyvGkTq0YNlDVUEpAct5QN0i5BQRzoG05XsLUg4cZ6fOcTykBSBxA4ZKF+nGEKnYaaXQKrqUkvRXcwM3gLK5fyahhngfwAQCBWEDZg0WDPP/IwA6v6MnVMkqs4Xtyfx7AKjvz7Ubs9UKuayc495ia0hcI3tTKrtm3TLbD20ZOF8ge01uqdjuEtsy2ZnWg0ihS+ogGF8Uw1NpgZdUnk1hLahjRH5jNCnfi21fCAbU5F07G+rY1Cq5lXvFSDbC3gRHlC6zt78p9vMVqIrtjvKeMSvwApRBsd7Z/pMtzLjQONMzz8aOigpdpAXzw4vLZUwLNwjKmNj+xt2So0DBNRzWijJHrG9HhKwYPy+suPv+XRRSCupxxPJ+oK9DUaSzsSuCJyLC65kLMPR9J6SKOBRoDVgPA8E+bxXpa1f3DB0+NAeIOJcZ040PiuHM8V3eJVYez6zoeU/YOgi2N0Pbc/bFDTcOK6PQTFOA7UgJWBktmTYQtgHOFVjuBOtNMpDOtOg6NR17jYJ4SYjnzVhp1KXLeWku47LRzFEy23iVm5GMKQXGx42O9uNwRWnXOdE8bI0IKUJzD+vLJHj8RUI+7KqCgVVCBKMNB1b1Dt8qhpOycj9FnD9E8wqQTluGApv5rVwqPv2vRjz/qtI7wEyepk+9sEQgwk2UgMuHAfEuktFnsUX8TV+DAIGmkOmsLDmRiQBYDMz5HFeg/vWMuArWt7AKqaLOFcNDwPDI5/bw58ZA+8T1+PTnN5Bf/RNLWknTPn8w92d9g+ndAeu7sSXank8cvxUML9THP/wT7qFk3IGsuFFx+bLg8iWTV8yFc/qwIaaCupF1tj2OSC+JMfGbjDAX5I8jUg1G2/YzjXHY9JkthsbPisPH0q6X69VYIpYHhQwM5l7tsWQZgJdfzrat0Tvh8oUgz2hmgg10362B5a1A4wj2HeZ7Ds88B85fCJZ3zJmO37II8fJLY1VVYHiS5sxMx2f+fXxUJOs/vd362YkOoqgiT4F64EPA+uYd156xBEJmzlEHweVdQt7+sPT1D05yl2XBsnT65uPjoz2MSiMlbwdjG71rLZv+zJLYRlf2116HkxWxKGpRyA0D4FDVqlvmWhfZ288rm2qIcbowUByeScWrc0QZA9JLRnpamHy+mS0YjbbpOmWmC569X1ZNQGuSTkDCdAxchHFFC7i09gbIGoBqLnixVXctGZPqUrhuUGS0WymVyFQI1CfUinCpRACBjvgPXFBhKhjGjLeHC95NJ/x8fsQvx0/YNGIZBjyMB1xKwsN6wOfzAadlwLYmbGLCAKvM6BA6QmzoTI1igndtyJBXLlv1xXtJOjJnQc9rqlDYKkoIredXPpq1+kFb8+10AryS08w8lmzolJmmWC9DAGj6zWiouX//lcOpRqeCAnVMPy4Ce7Vp15O0oqAqzX7yLigCgDqZSZZP2eAOfXRqDEURlkDpjVON9tWH0Oe79yX0/48CoPJeg/Vg1Deck8NL77vnz6BpH4trqSxBK0onZADVXAtdr8MWQX3t+IHn90IkXFvy4lX+sPvoNnShJ+wNOKjS1lUbX6u+t5/fOLac59IAIDq1Gk3ZrPXzUXG8v+BmXvEnd5/xZrzgLl1wGxec6ohjWnHKIy5bwmUYUEpALQF5i6jRNDXWi7XEBD1bLzoDwGoEk0oDAboeywMCRcoFbioXLiuTmTHu0H1bm3tE26q3NQF7Y6VWShRt65nP0JkKHmX5c2Ziq65bd2qajy0A7wO6BxGuktY9wOBUcgAlr9BQECSiyI72kwvpmzd9tfghKCrmHipX802KyxYI3NXR6Pwi13s9PKnyZNUOQnO85p5iQI+xHcKSqV/TCIk2zyUQSHew1BDgmgQyiWlpLaBXe65RSEsPhsgDBoKArbYq768mAzYt6PLgNGw8f6hDoqxBJ/Zx9UTXq60O+sD01daXhnNu6P3GaawGbDcGWk4Fx+OCecg4DhumyB7uQRRbjfg4HbDmhGcc+YgtgVEX3lrizn0VrSIRzWAleZBqc7G3SwJcX8x2arh+OSPC5pNXstp5ZBU0ApCk08a1fz/YobHXYLOSa9pFZ85smcCXxw4+nx0wNEZM+9PntFdrN8Vesy65oKBAL2fo+Yxcdy0nClDmgNVMmUIGmWfGAtlumMDTNO0afAlLRrhk1DGyN6pRX72yoAGtR3YH92ExCpDObIMhY4CzKXKr7HPODiswfs5cA+b0XuZoVGjrwT0HggxXpjssGLUAMoD6bturPJknKN8T9zpSJiJFkGzvUzcDW3n2ljmyr+cFrYVYY/BkSoHEWio5AyhoP09aQqkAhoo4cmIJgDQUHOcFtQa8iKKUAC286KrgGqoCXYI5SAvqatTt2d7b2H3DEz+HPia8V6fXhlyBoqjjgDwHGwsCtHvqtDMUPOa7aklk0xKRnyeu+5ysWm4aapWANHHfKvOuH3VRhDUjPC7Yu+iT7dVlfl0aFVhdXanlRZQWR3K+CUqqyCUjpIq8Z2tEYH0rWN7SJGp45ve9gqeRWtp0ITU3mtlZiZxb221PjhvDpTDZiEvFdgOEX5yxPY4IW+L8OWsrHjnr0fei7SDGhOM4xxUIL+b7Yb4CzsaMS2eueALmdPd0EgxP/H6eAR2AemBLG3ymUWeZgfU9K6zjA9/z8laQbwLiWTE+aZMBagIu7yI0TiiDNNZcsNZP02NF2OienL/cgDVANAKVxQFEQOeCeMgIoWKaMsaU8edvP+LdeMavn9/hu5cbfF4SK7dREQ8Fh+OC52caodZRUY/97JYiqM8EV4azYv72jHIzYL2dyOSYXL9uc9arvs4GVFsDZg7lzM3tSClDerEzS3Zfvj0egNU028kAsemJQNHpq4jtlvNpfK5YbwPWe/Y2nj6GZhoJ9OcoFZg+FwzPGevbgc7JfumeY9l8zbNd774ns4fRRaETTUnLqzX5+15/cJL7b/7Nv8G//tf/+kff11waJSRPTIZcNyIKTA9MQL1NAl11GfzWMdqkrq1FhWwFIQcMz4F6QR8IN6myb4VNWlAaV1Y992L8Vrq3jULNzMUTcRc8Q7kRu/lSTdpaWMTNNAa3atoMaeX6mgCxShggPamv2njyTcO1d+AVVr/g2hanZCW2QnCzKbq4RpQpYLkPbABtKJaOiq/eP+HNdME/vv8OH8ZnvIlnRFSMIeNDfMZtvOCH+RZjKLhJKy7HhNM24uE8QwHkHFGrYEkTtjcB4UIX0prF7MBZ0Y3FN2UCDHVkgBq22hK1OoTW89Erj1K0JdIADwM1wwKnu3lFPB96oIHK4CPfjoaIc5zy3QCYJmXvHuqH7XWjdQVCgOSK4TMDG1l3LrUiaC7f+1dV/KeH/xf+0+N/++MFkBLKIWG9DS2468i7Qs9Gp5lNu5crsDHg1RgZyPl1iGtu0K47LqUlVlIVErmJaBSkc0awfmyN4jPskhqAYIHPfRuf4ZTt8HaKYTBquDZzGj/cK6cxDyVDXd1Aicga32MYQ6+c25i1Verrz5N7kavECoC1bwIrMGPiIW6AlM8TbviADooQFEMs+DCd8OX4hNu44BgXbBrxLp3wXCZUFbxsE6yDKZaccDE0290YH9IRZUzYkBAWQUxm+gXpFPBMoAJ1R3+NTDSrJCC5k61c3VObizumhicgAJp3gKPbNcKlON3MzYPQPf3VEqXWf3lPQXYH75RoNuW0q2WFlmrzKl4/i1xaEvBX5f+Lv3z6H4CnVzcxj9huuwPkng4nFUiXuKPQ+55aDfCqDHZ3WrFg/cQ1cR7GtXZH40bNsz+8rYmg6V7bZxeL6lSo9QxoLACf467hbcwQAQMKATQQAVYP2AL3daeUOQ2vHfS7JDCY+ZVYr9l6nDuAVfn9cN5s/tv37Zl4FddZSdCeUJQDGS3lqBhuV0xTxpe3L7gbFhzTikPcUCEoKriUAVuJuMSK8F6R3wRSkO0B1cp72+KEcqFTOlsw2bnk+0ZLdKU/g9r3gZb0tj3DAtvdcxDZBb72atId7UFq60NcjbbsYIB6YKMG4iQG957Q+nP3nvFu8BWkeywYMOntV5DRzakMeJB1w19+///8yf1cakWe6K3RWkkpGtDE3qtoVD0ouwGQNRNQj6MxG1aj/wWbSxVxAbsOLBmaAqaPXPBlCG0eNC2/UHc7fyptLsOeQzV/k/0aID2QMUbSiumzadFNj04mDzpl0Dd2o+B6h4jtGMgQWvi+jbJdCRJKO5vQ2CVhrUhnNR1zRBCBnDdIyai3M9af3ZivggEgxmrJR8YU+QjkNwUYK+bbFeOQUW3+plAxxEp3myNQbG7XKsg5Im+R4zYExi1IyDf92YWN+s+wd0yv2quAY7BkqzPZ0pnsB5dJEMztwFkUoC47QNJBzIBG/a6F49lMIbd+Dd6FIlRFOpUORh9pchYG/ulGXzqN7KiRK2AO9eG0IazeV9tM17JwL1rooBoC8Ou/+W/wl7/5tz+a52UUjJ+VCaEl7mUCLl+xTU98Coir+czcCvRsVc/Su5Y0NhLQEk6no49PwPo3R0wX+rtI5nQjYGJgyoaWXEMoVZMKxLNpUW2+NOaYPccr6rO9QjEzx10BSmpP8KCMHbY7zov5+y6HKyM13tuRF1IMjAgZQKZ+d/5uxeXLEecP3jYtNonM+Fwx/xBQ5gFhM/anWIU5KeQloj4nlLkgvOO6/bvnN/hduMNvf3iD/DAivgTIBogIyhqwRDPUGig3gcsBjF1QZrX+6AHn97fGkrUlXcydXfs+VQ6CorAWrBbPWK4TNq7z4YWAejrRH6CxWwdgu6fhGOzcjIEPvRY7NIGm5U0nntVxVdz8hizOdNY2/wl0KebPjOHX+4jL+86CqzsABELweb2j91JY6d7t4ArE/XwSJUW2hv+Q1x+c5P6rf/Wv8C//5b9s/358fMSf/umfsnUF0Daz5S0nbDnwVG0UFXP1S5eK9GKTboqs1p2M4unucCiQzxVOZ6azn/bAJWujugFgE/CXBRBBPTq9gzoLBswedPXAslUNKzf5uFRDOxPKQjF1mWiNffmKD3N4BKLTraQjI5ykYtfiyKugHhJQrBdUrdS5RaE5r5snuXja2t64C3UdA9Y3CXmipXu+MRRLADlk/NP33+Ln0wP+N8e/w4f4jMc646kccBcu+GX6hBcd8Wm+wU1aEEHq2+ftiG8ud8g14iWPyDXgcpew5ohPn26h30xsv3ErhsZLo2Gnc2nJLEBgIizUNHgyvh3swLrUpqVTi6nYYxREAC1Icl10PnAshxfLPyfBdpta9cRNITSA4MdSEUpt/eJYHSyku9UKTCOrLFtGeDr18XWn5WTBvxvypNSC8n949y/w52//BRAjcl3xf//r/xM/Yxiw3Uasd94OAW1z8UA6LkBaBGW2ay8rFKEdjrIUSDHKtCepTuHXDXHd9R6MgmTBfjxlBhNepQsBdUy9MrxPIgVNZxIuVgWbYqto0+VOWsutps0JtmfYxrrXo7BBuqGyj6SRuV5RTGt91TbIq1hDIi0Z6MnbkFqfszom6EgzjDoIvJpHehM3/SCKIVT8bHrEn00/4CYsGCTDOhXjpY6YQsa5DAyUTHBbVbDUhI/bDV7yiL9JBY/TjBMOyOsAPQvpRnZd4oyRraJpQwBW1IW7fZnt53Z08P1LDFjzg7nGTgmCgzg2xtUCZ1LdrsdwD9iI67krk20ANNHJmcmG0b5dR66qQC1QrbhyVVaF5Nze4y+mf44/P/5zICVk3fBvP/2f+ZjGEetdwPq2V6Z9LoQMrOfQnlOrumauRe+dqzbXRNH6PWpIrHystSfFl2ygXWr7MYoCKbD1kh9iAUz2K4MDiO3V7uzq2uGKBqi6tUOjIA59/3egId9Wul4+RiQl5bMl3Ha4htX6FyvYMSAA9ZbmMvFlYVuQLUOMHuYO2N5SzOd6Z6kwoNgOwvYOR0W5qXh/d8bdtOAf3H7E2+GE27TgGFZc6oBTHfGSJ1zKgCkm/Nn9J9ylBUtNuJTU9vOtRPwwHbFcBmznAfXFSnnoQZA7NkPs7LPuBhgCvLVXqAQF1Byqnd3kzx0CFB8oG+dquuC4COKJiZbT8sMOS2wGTNUZKIEdFy7ojBoDYzgvAmOCLRM0mO3AdXMqA4TFgRwR7jGW5P7F4X+LP3/7L6DHA3JZ8G//w//R9ihlJd2CYU8G3Rna2+65h0coFfF5AYqi3E8oU0R63hAfzqjziO3dzCT3zHYZ4fkCOV0o49g2yDgi//xd67m7l1xJVkw/XCBbbTFAmSO2W/Z4BgxcMMAlWmWVyTTB5eUdAWbJHUh2IJYt0xgLFavybzfcz6eHDkjk2RNsBvZhqR30yxVhKxiMoqlDQAmC4WWBnBfkn93h6U/GtnY0AJu1w8pHtjHJt4rhzYJxynh7PGNKGVuJ2GpAEEU01sLdtMBq86gqeFomPJ1IuYxm8XqZB+QtAM8Dhs8BsKA4Lu7qqpZ8cl3y3szpV4DxqWJ4yqTc3/T1GdqZbvvGhVU36G78xONdK5qosMf0ZzMzrLv3CNyn0sMF4bRie3fA+gVNWtNno+XPA9l+aVfttV7SIbNaXt4eUY4D4x4hWyWs3Hugin94/7/Dn9//14AI5/m//z9wmo/A3ceK8bHg8j7h5WcBdQTSz0+Ypg1P39wBDxHeVaSBe5nUUpfJ1WRbgBWWyiiQHDB9qkBlezEHNN1oajhxLqZzwfCUUeaI518kuttbAl1mxTYRoMleTMo7z5w9q8RwzpAtr7Ctq/nmVIFWmkBpYCJ2/La2KnuZbC7eMmuKZ8sHVha9po8bhm8esL75Ausbv46AtCjmTwXxXKExQYox5laY0Zagzown0jOTtHzHZ/v9+Y5A5G8n3Hy3u5kAYIlsAySsguqgQKr94FLmURqAy5es8koWpMdAA6xPVmU1oKfMNCVsFXJrP+Ta3WQU/u1IyVY6aU9yB6t8vzNDLIB7cAPLOogWF5psRXNfjqvi/j/ntld6QprnwAr0dwQCX/7pjOU96dfDC+fWdtNzgbAB6xvB5QOrzB6j+lrMR8Fmyb07N/8hrz84yZ2mCdM0/ej7MrOP3HbDwSvzDvmp5LyTFuJVDEE+kM7r+pCmzVXtFKWiQFAiQ42aB0iA0VS1BfcapDnNtcCnotFbmxGOEtXYU6bVkYpds3RsaP+GIaMUjhs6bZMKgAVXPzaiadrjoqxueMAqlmi5xm7mmGoKcGMjavx2lGwfzwC4GcG5DHguE17qhFk2fC43eC4z5rBhlowVkdTlmjCFjICCQ1zx9fyETQOethlrjfjd6Q6Lu1b419WNwDRDBkjYmLgJggaFm/EM527EoMkfm7RAyU3J2rj6RuUUi9Wd7Oye3WUw9MMqbExwr1oHOSXQkXynrHklEeg9/4wW5/rK1mZCBCgFQRMCS0lofCCAjrSCpmFtCJQHxj4/olf1A4KZr7V5EIDehmaXKBnDoNO8Kw/oIUKrWGLL8fDhY39fQXPMcb2v7t5bf2IX8EOsovUyc7qpP4t9cuB0lpp64BraQWyJ2E4HqtF+1Q28PHErzJh1lPZ9UboyO0W4DmgVCSa5FSmWZpZTVbBpRETddRcJmMOGqtKqvP5a6oAgikOc8MPlBpc04Jwqk8+43z8YdPIebSyMaSGhm9541Wv/6nRZtLnX9x90Cqv2PWIfRO1Rav7bqjv+uGLof/dEsFa4ic8VuPCjZ+2RmtNf+mfENFryC0B3fPTIhLGaEUkZzQDH5BllBrYqGE7Wc7Iq38d1qVb5vkrSRfinmobbk1yfw053t0SZB6utW3NV31P7XT/q46/+HMxchB4QMLRYO7XfEf8WGFFq4pXdZqJkjuSSBd7zlRR7oGnqfaOMAXuzGB2uwSe6MsdGaa8uD2lUdc6PLUcsMeFcBkxxBDJQYsCmEecyYNOAMWQgAWMoCKK4Hy54PxYsNeG7yy0uYcDLMLL6tToVYz8O6EYsZtLiFXkPXinhsQShUMMbnL3kuvNmPmXAjdj9+Plhe4nvC25Uw+dpe0wU7BurBVWIDtd7VlGIll4dL7Uvl7oHgvTq31i3tgfFOABxhKa5nxcAE2ugnzVOpbYjopiUJnqEZEm3s7LYGsb+bnugwvexABxHSIzmeMvEm79n6yEotJnEoTNz7N72jDBnNvj5qVGAjCu9PDXA0oDJfQWk7efVnv1+vg+kKMdNMb5oq1q1PU3t3i2uaq2QbP7Xw0DpSRDq7YKfY36taGtPCvfwWslOqCqIgQC8iGI0XcxSEqoKDmnDYeDevuWIqoIUC1QFqyQW7oLuWHVdi99MotqZCs6V0FkJ+zNOKpNqU670IonNEZeihSAMPWJPrPZJrb/X1R4PFnQAFmDCxvlaDwNQUpNZuQQLVekvsvt9KRXptLVnrkO0jhyMewMEAZHroPa5pEHIBDwEVkojr3H9NGMdRlJiJ0U1GU8ZWWBwsNZla+l0PV4ev7uJUYVLl3pi6uNfJgGQWsueK8BN3SW4z5n278xkWCNab1jXkLK1KH0t1qNVQu3ZuUEVtLMEfb9KZ/C5KrDd85xmyKDIx4j05ogySTu7/Rk606waE4X7IUw+AIQLz8ztDT1zxBgIdY3QzBZ32x3nkEsIMFTuA4NCg5/VHAMZGRDWJbSqNny+j4wl67N0uY0VKjz8Eb9+9ZjEZTvovW+towBg42pmX8HMp8qoSNZxhZ8NA8/oLeI+C2png7NIKNOQ5sfgEpWw8dmmMz0BHHiAuu8MEJZuMDa88P+aKdZ+/mWF5j8sy/2jjafq+3ucvko4/UwMraOTYViIxmx33HyGEwXIdRBcPgwIhS1n4tkqL1MkQnXe7EYKE1KxFg2uybEAkjpgUpl0iChDbOg+BAhmiFSmiHLkoo2nDAFMK+vJZKdywlGdhdb/AI0M4kUaPQWD2iI0bdIIAJxEe147m2EXto5YSGULqtAaWV2LAqQB9XayIEPgTb3zIbGaeQgW8HMRt4S3Cr55ucclD7iNC56HGd9u9/i8HRBuKo5zRqmCpzLj++UWb4czbtKCL4Zn/MnNRxQVfCy3eC4z/u36j/HD8xG6hZ742Abtxi1EO0OrevMgrEzeo0ArkC6laaaXdwmr2fm3g9beyzeb5thrCE7IZobhB467rkkAKjA+EimSrTbEyI1/YO1ddG/MUxVIEXUc7EC3SubzGfJ84u+MA6uiNwcgCsLTmdVdS3hRewlCz+dGFeGXwql5wXr+SfYqdKQj5kbacii5BURsu2NmEwCD4hhoPLGv4AkdbT0Y0xghUluS7C8xjRGc8aDKCq5q62/YHCZhm4MCIQpUlZRG2xjLKuxFOxPd8zWs0XRPppvVRNlBWDtlHQDqcQLbbqXrRNs1dFWhx7mZzkiuwBCtZZTp4A6C7Y2ivs0YDhvmIWMMDOSf6oyCgCIBBUwAqgZMYcMgBT8fPuGr9IRBMgYp2DTim/wWT2XGcx5RasDpMmKbBtQS2nr13pHRkquwVaQTE8kqAiSrQG6sMHHf4dz2CosDeHXgYecU6L3TqdN3wv4AErHCWp8fpPLb+A0JdTJQLxeoGBU5Z2MgXCeAEgI0JY53o7K7QYxVWFNigJ0zdFmgpQMDmmzPsTlebipQrM2YtVKINwL5tuLwO5tnQdgey/0tKrVvzswBLChyNsO69cQ2sn0UgiCuC+T5BNUjymGwNR6BxJZODRCN/ux6EEow0pJPAXXOQaA3gUGA9oSsVgCF89spDDUqxFuWBGC7Me3suSKGwn6AqwWwywa3EdaRbB2p1fqtDq0iKgpKHO77MauRuvMyMSiIZ0FNEc8vM7YScRg2XEpCCrUF/VWFFa5hQcAFKRREUfxi+ox/Ov8GL3XEfx//DI/Wx+4xzViWAVi5ft37oKH7tXYGgXktVKPSxgzusQDEpoUnwuubga2Ohq4FS2eFXmxujxY4OQhsQGZcaN5U5oDtyIQo5NSYAABoLGYyD9dhy7phry+XqsDi68TYWYXrtGkbSwGeX/j9eSKrxyq7e12ltwbzCki+IQjjVOss3Os9WK5RsL4ZeT+XbO6zHSiTrEBkHKNRUN+MQADiuWL4dGkgWVx26/JmQL5haZGJRUQ60fUVgWCiGwpSAkaDnAS2o/KE2qVFrZ1i6qAOx4rTPFhvU6/cQqU9j/Ex4/DClh3ZTJbc76GmAInsKKBJbLxtTrybaUJYFfNHq4weA1vxRLH4CAirIIzAtkSsAJYxIYriMGw4pA1jyLgbFrzkEf/x4xdYtoRfvf+EPzl+xuMw45CY7KoKsnIf1zIAUVFuGXfkG45FumirZlMr36uMAPp4mhNyNEDT+8u7y3+fd2jtJ4uZFXHNWKxk7euaK7zRvB3AUgHWtyPj0k2RXgogwPJhtspYYRU/2viOAeVo5lIVgCqGT2fIN5+g9zfYvrqlCdxwwzn1srZWXFg37FsIaQQe/gLI9xXxOWB8YJXv7f+HzLinf1BR323IdaC04RZ4/LPU4rHhpJg+59bOpRwS3DiOYwjqcjOaFKF/NmPW7YZyO64dMjvKCLZ6O7FK2s5JAbZjIJNwg5m3CVvyRNN3Zsogp4eK01cBT39BRo5kgWyC4Tlg/Mw5fv5SGjMjbIrjtxXjc8XjnyU8/NMCyYL524B0Frz8LGG9v0WexXSl2s5xtiAKZkrGNUXjSEvKV8HpFxXTL17Y1nBJqFkQnhLiJshvMurPNqSh4DCtUBWclwG1CsaZOt7lMqI8DcBQcbxbEEPF43KLuhpAVphnlDcFpQjiKTWmB+cvMH9UqzIzlm57tVCKWEaybbd7d03nM5kfKoKd81BBPijqkV0KhmcmyOsbY+lazjM8kbng7fwAYHooZsJa6VtUbU8UanrTIpg+F4yfV2z3I2rivU2f6TuzHUbUQTB9Utz+7Yo6CJ7+bECeeyEmXBTDS0VYXlUcfs/rj3dXDqG3QBhA+pcqJDP1rhGQEagLYBV4/tlQsn5QAHwYV6Yqnre0QM4qQIa2KaQdwrD3bq8d8u/gYguIHPlXez9DlZp5Fjp6IBYUady9tdhHGkqxR0xbVTdX7LVbXqG+aoXgNvBNO9lpTHu3M783dXqDb/Z1xEM54FwG5BrxXGZ8LDNelKfLZBxJBkoVd+HcEPRZNkSpqF7p2V/7fhjb+Kq1WPAx1EZxBSxpsX84enNVGdbdnxYANUMPm8D7n3c0VqCdyrh/P9nNIa8o4dX//4Hi9KvfacnBNVLU2jcNSidiBRSCil3SvUPMaJwlHIddsezKHGjX1qgluF6lqxWa0Q21fuq1v8b9te9pzFdrAm3+q+7Hv1OEfkrr0Jarobc/+iGjw7UKVuja3fZ6/Xz8vW2dNeZCACQS5fTfICthQIQihopNE04WQRUNiFIRRTFIxiwbbmTDKgFPYUFRwSCV6KOZ9Ly+xYb677ciQ//95lvVsHLfwb764wi7v4eP7U+MZUP5f2qcTeN99bxfz5/fN5ae6IowifUKre+j+3nnr9f/ht1P5BzXiUmuLqwKupNuc9vc34NrDLdq1Waf4yBi/SMzts6waU/akwZbA/x/tP9r4+tV+KvnZfs2rs1SnM4G+7qiubkWc7/3eO4bfF4IxBglV/dbAW8LoYFMHN/HvV60B5gAtL3BgyW/P2oPA7YSscaEqhXZ9uWqASkUBKlIgfM8QDFIwV04I0rFIW5YKin7wcx81CoWe/r9/9xrbwKy/15jbPh7+aFqhBhvsSE/NZ3s96739usp3uj6+3m9YwI0eZJT8Pdaf2dZ7H4PwDWTxCu++5ffq/j5rzQ7Cn0fbK1VwMoze5XuYwSTMyjPg+pz1ECtkAhcoyquzysbu8bo+Ik99WosXg8qrmIElxNw70TTnv/UOvjRXPfYJ1fq+3/itY9tBGhVRjWKrRtk7TfXH+2pCiAH1KgoNSDX0DS5VQVbje3fIjCgJ+MQNxzTyiqwBqw1Xg1Xa6fka9bO4f24tXH2Pf0nb1J7lfvqILgec8CCbW/PvPN32Se44u8Hix0cHN5q65WtALXNdn7q/sxWxj6o0vfu3TwnwI/G/NEgV0e9P4M6AHpkYlQvAixoSX9LknzOGqBdMzWbdHo2rxwRVGPLVKvoeeeA9rWbb/6+e0mU1yHa89oPc1HuJRaPXL2Pz91CEI0UXG1VYQBsQZQFYUFnHh0Ab9sHtd/drveCVtSJHfAOVoVsY+j7gD1b/z21CqWfVcOQUesA3QJQuhkhomIYM6Yh4zhuKJbkag0Iw4ZpyMiZxTqJfo75c7E5tdnzVpAib1VZtpbrYxjKqz3cl0IDzTze4u+7jMoBm7ABMu++5+MQ8KMzeS/N8s+oV/PS9maRJlmMS0U8bSxs1mTAEq78e7zYJWrXmwA4M075fHTb3+Tvf/3RSa68EDWqo6LcFEzvzyg5IkezgddopjyCciYyMz4Zyp8ViGLOpQyKSNuJnQpkVDWNERjNybIFONIpVmbEojU0NK6kAW49rcIm7v6eYa1tMtcoKK0FUm0C7e3OkvTqKBTgxlO+4btLrVuiQwJCEsStIjyfOUjj0BBFKdk0fnYwmkOhTrEFSG1sbYLRyVlQjLcfx4rbccEYMn798g7AO9wOCw5xw79/+Qr/789/ijlm/LO73+DP77/D9/kOD/nABEEq7uWCf5B+wEUT/q/DP0U1ikRNTi/ww9iuwf7Bth2ZDpMrq5M1BWzHZIectjFN2g8cr14xcA4tgN1v6GyZ422d0OhaXLTag9MxsLrml5iFbSUKrfVZ1aXZC6pV35wGb4tNb4+cL2fO3eBtbuxZuY5Kd4ehTBOWNwHLh4o6VWCuQAXKSrfHeI40/JBexcuHCJloFhHEqJpbaWZjqArZDHX1ljpOdxVhdRcFSFbF3b1aD08K3ODOrYDpdWEHrgdX7ZBQ9FPBDuvM8SfKb8ma0/J3c9A3cyLYTKREI+QwwI15qP2snXVhlHEVkzp4+6e4o/aJv6/RkoJCM52SiwrWGvG3p7f4mI74cnzGh+EFD+WA3y13fGQhYwoZU9gwy4Yv0yO+iBsWBb4zm79zGXDerILrY2jrOGRDPrf+5f9Pow/TeR4T96rTxoDgDasYbpzBCmwf3j1o5O/lVS72wfQD3ZIAQ8gRBLBqPLbMVhoAGnAxjWz/Uwrbr+RM5ov0n5PEfVRzAcrKg76Z8lWoJwtx5yoCEHk12m69K3j/9QNOlwnLcoOoxmhRtr8Jv5i4nz9khOIOpQJUc0U2uq6/L8CkQEJopkwQIfMAQJ0TcLiH5Ir0cOn7pEhvGxZDk5/0ZNnGGkbnlh5gE1XeBSkgsh1Aho4kM57aTD920iuqV08mxCpanMNSKuLDGXK6sLry7sDne85tP1ERhLUgna113WQt1qz1QzkAeVZqoHJADhFLiRhKwnOJyJYIrDkiBsWXN884phUfphfcDRcMUnDRAUUD3qcXRKn4y+cPeLpMKDkgBAYJwxOlJO6v4GCWVDIUoIoEVis9+FPv+Qk0QzDJivG5oEyWfEdplL10MpMaD0jsPSrYFiIcSPtP507Fba2iKpNZ2QrniVXGZd3Y3m2egJgIMDkLwEwa5bLxe6rcQ1MEbo9t/+QZSzdsqZ2xEJ9XpIXVHyiTItlvjbbv1UGw3Nseboyj9GJeB0Mk5dT2US00ytMKyh2U+y3n7O69MyCgNj0uTFzipbR9oA4R+RCx3lEbOz7mFvDXkXu5U9/zoZtZ0XSNGtIACzQrvZzaPVmQ7jpE35vyMULTDG+DRlCEUoGwWJvAnwCM6WFghnJrhZsc7u+Xuk4Dbk+kb57ShGJz+zQMTHpLQAyKr259np8wSMH78QVfjk8oCNzHy4hfx3dAsUTIErS2hSX01o7bbn8FjIIv9Aa5uJM853k6FbaVaV0x/Dwi7dUpqjXxLJw+6Y6iDKuQs/1TXGtjc6iAZnzgeovPS9PpOwDWJC4GAnoRJly4t+uYUL/+wL3HmBYtqQ6AzgMkR4IuO7N875iBTaA3GcsbhV4i6pCaiRk+0kipDgoM3JfCJhgf+RnbfUQ+3rH7gcW5zoCkmawxRDLPs7j2xIjO9MD0kRrM5T3PSm/Rk4+CMkeLP/k76cw9eL0T1MkSH3OwjkuXtJWRYzZ8Zgwx/yCIts/FVSmfNJMrtu1ijJm/ZFup27+KCBtw+K4ibkrm5AikRTE9cL7mOfDMM4bE+Mz8xRM7DdLajqYXwcvTjPoyYPyObIjtVlFvKxCVLQ6RGv1++TRDtgD9OuPDzQnvjmdsbyNe1gEfv78DlmiVUGUV/tHG8jMn88vPgfOXiumjYPqsbf45iEoGgrWFsnZYZTStq1K7fL4FhgeaUUF5/oWNe2JYhYCeAjXQh6aOivGButq4age77bxd7gNwF9oeMD0qDr95NpnGLeQYMTyuCN99RorvoDKhjsDzzxmvlNkMsI6C85dsRba+Ycuj8QkI5tw9PGVq0v+A1x+f5JpWUQOApDhMG7ZUUbYAlWh6CW0IAgBz5jUdi1ibIDco8Y1Uomm2al/IFuhcBTeM8ZvWhTsF0dMWdNlG2HS31ZqtK3hYSWgBL4BW2S1mc+4HTNjs4HNNVQuAgH3bkEbF3bjb6DgwWDMdj4TQkcKm54nXVdSGCpImKCb8hwAi2hD7p5Xa2hQqbtOKx/WAv/z0Hsdxw3/95q/x9fCAU53wAFLZIljteh83bLphDKUXLh2p2Y3FHkFurVSMisg3FKMw9cfiCFsZOfnd2U0d4TSUXER7ZTBwzKstloaIVu1VcFiw+YoW41Q1sb6r3theMoBiyYJXlWKkMYlXBdQODBHSP1O8QkvbK5JCXg8FGCvinKFVTBfEjbDpjwxt8rZaOgSoGxbtqKVQpda3FIjMQAiGKNpC8WveOYfuQZ6m33RGgCeVfuBnhQ+UV8tadXI3z6BoaGAFKzLVD1qrBjVE0r8VxJBfao+BCllsrbYkHl37luzZ7AGqGDqa29A8u65KapqqoNSA523CWhMOccMhbnjJEz4tRwDAMa3IccOpTLgkAlmzQf1uUJU1oOwqBxwUTz7RdB6uFd2/RG19x4BoqHbXt+IqWNm/Xlcxmn63abYs+Nqj86GPj9gcae7K3grIXNqbSQ8AhQLB5oLNB4i8Qv/tZ53K7D+3c/cQ7YGyTAXvj2cEAZZ4bN/XQhriduSePjyB+vl91SwTeIH370WFU3wRSf1qrdXMHV2HEWWK7CP5YrpKbxETd5KOaEH4rrqtlmi0qqFXiQ1gc2d8R4fhqLV6n3O0xvYtwb16jtKkGbDrQK3QdQVwgzqxt7m81HbvEkKrcDl7Rq1awvPC9FWRgbdWQbbkdikRa46s7K4JMVacJ1ZqAWAQVnY3TSgQTGHDUWNLHNwdkwnIdYJ7vadbMB4DiRie5IpcnZdNi6yAikImaUwmNaBINtPUGxujMZSimsYZO3r/Lrm1vbGBZL5Hlro7/8X8NCrBQDP0EgNbG4MkBjowB9DMast9neQeFMm69aRPwfPHW0d5eGGVmjKBVEFfz8L5V+2c8aSkscMEreVd0816hReAuIeEdgAhrHTXd+q+g2c+hyUrwuhtddCqeC4BanuLJVxqoZBX2flG/b72lHLKUPqaIW4qzQUePi9eV+lV2/pqz1LD9RmFHh8RUAQqAkoO2DbT3atwni8Jw5jxqzcLvpqfMYaMIIo5bLiNF1QNeJK5aXh/ignT15gXFZwlpu2zRC3+yxXwVm/AdWwJP+dgALK97476nc67cbc54Cwnya8Ye/4RVTlnwWeP1K+tJbfqa8OKCbmg3k4oh8FAiusCEIAuAUJisLh/Vd6MjAU3dxecxxH5c0RcvHhjZ07c3XPoLvVlEOgszZysVWYN0Nj7TjDWI5jg8XBw2jHEWj4ppDBh08Q4m3R8W49FkIobE3HODM8cLzdyFF8DMLBSrT/ySdtZW4a+Htz9OlvbHVGCFGEjxVYKE8ESGLOlE6vt2fWgrB+g9a1u5yTBT3YOEGxLRLiEZtC23Sk0qTEP2O9cROlgfomNDXCTVgSpGGPBt6c7fFzeIpwCmbGJ8yKdmYTefMMFffo6oR4r9KG/j1tIiAHuDt6znZY9DwNB6HheES/R9Ow+toq6ct9qpoECYzCivS/BUrlibHgbKLX2UemiDYgM+QgpAbJs0JcXyHbP6ZkI+lbPqQBLdEOjR9eBSVwz0toKdHtNb/vp1x9PV96yIV4KFMHD5yMPi0tkhWsFF1NBC2TLIUBNmxDWQp3WQoRWbIN0PaEAzT9FlkIt7pRMlyW7CgEDj5oCf8ZoNHtKWLzsAlhBO4AorDd0Zggo1j9terCqxug/b8GJUVbZq8uaql988HeVoHHgAWL6siAFstnnlp58AEA4bwyKPDnaB422SP1e8xLxH373JWKsmIYNMShuhhHbwKrglApiqPh3p5/h++0Wz2XCuYx4l06YZcNLnfB/ef4Vvt/u8B8+fYntPACLt52AaUw6st0qsipMajUg31F/mWfvOYwWTIeNgVCeo/UhFCL5gULzmuzQSD3BQOnuozUBWwi2kCwxs/5s6XlrFf9qFRWdRjaWj5EBdIy9xcFmrIBXySVEINaOAnstrwETMo5XFDhJ0YIIgWZBzYGByq6tlFPbymSL0VFkm590CWc7IbUEpOnNVVm18GqEXSepsWQ5NJOsgF7R8j7KppmC9M1f0i4Q8I3H10Mh2l+dqlbt4PHlETw4Qz9YqjazEmo+7P48aPOxVTIr1BIBr+Z60qaV2Y6DEV1f3QEkGSq0Ap+ejjbPJ6RY8bjM+Ov0HkVJ7Rxiwe2wYIoZFdShfyNvMKLgRUf8T8vP8SnfINeAMTFoqs5OsMOw06kseWlrE3TUBYDKKgOqoh5Nd4meFHjLjDJZMDTugoFgY7gCItpQ8LhaQKReEfH5yfmOIZnO0PR/Xn01N3GtFagFCJFzWaSDIVuGbhvX5OiJpj3bFQRXAFsbPXqVy8Lg+cDvfT4f8HIZ0cyEjNUSVmCw3pN1CEAgO8a12HVO/f0rIMVaaLhBlbFY5NW6FAXX9i1BuVbJbWDBK9rpq4C6vSwxyofQDnhPRDwJ2JsvsW0CGo22jA6KBktajNIfFGIO0XqcIAPbYMVTtkQ9djDWkq7mazC5pv06cNKoCGNBCIrn89R6mhdjHUhQ1Cp4Xlj9Gi1KWWpC1YACwafthtKVxfS4LwnjZ/YsBNDcpwF6TkQzDavNgEkhG92OXXvpgEsdQgN6NFDHud5LC058fnv7EA8sPRCCB//JgBWrxDT5yQ7EpHN8AIoibLkDkN4yy+Y55xndwvU4E+TcMhk6l8XWpu2bpULXDVp7UKTHCduRDtdlsusI9COQytZLLTg24MP3vHyM0DgjrAXxvPNtCII6DhzrEDl3HcwCOsXP9m413wmNgnxH6YU7zWvoe8t6P8BN78JWWX2cQ3tPOnb3Zzw8G0jve5H7jmj/6gk7r4mGfwaInGtLshrd1s7a4dkMfuLulxVXCfDelCyuRn8drOozVGbOOWCrA0qOWGOBVrYGkhzxsHLtOz15jBk3acVWIz6vBywl4XKmE5FkgazGFLT79Srh/nr2IKTHKmLFjrhqj03ngO02NmfoMjqYYHNb0XTn/t5l5PsnYyoCaK0PXcrmvcA1CMrdTECy0L+mvQwoaNK1JMCBgVKdaFBVRYAx0P34fGnFIV4Mz6d2TgA4flehbwV1CtBZcDsvNESyhGY7AGWuiKeAdGL8Nz5x7tUBOH0ZzKCIiev8mc723FepuQ1xF8fZPpGTYH3LPuDpBZg/oldws43Voj1p3iVUHFOyPsZHfy5i5kZeYZX2XIcXtMJSGWxNHwgGUVrQ9/O4slJLQ1y+N13MFest2ZuowHDicxnOFXXlXleton95z/jMDfi2G2nGWPKSEM/SWC0NYAqKECvGMeN+XrBMCd+fBpQl4PI84X/cvsZ8WPHh5oRLToh3G+ockOYNw1BwCkeE1bSpmS2+4hmYvmVc+vILjqm7SS9vyBhysKwzDIWdQQQIqyA9B6DSlVkjsN4rdACiM3MSO8zQp8NMspoBXi9KuUcDHbUV2byEyiB4+K8+dLkAgPXLGwzjn2J7Q3ZfyDzfnC3ra6hMvM7x0Z+zNlflmgLqnoH297z+6CRXM90wXfiNhwFi6DiqIF6k0RfcfCVPASEqhmez218zk1xYMhUCrfT9AC7CIMmSAL0ZTeeC3eFogbJVcGnIsLvQrEgXmhfVKaLGnhBI4bVoFCzvXeSsGB/Qe4TG3sdLk/aH+syH1Hpt7vj+OluSO+1aZHjQ58GdHd6yWm03BciV64EFDbkvZCwRy8sRGhXruwvmecNSEhYjxo+JwcF/fvqAv4tvMYaMFCqWOdGJuR7xf/v+f43fvtzj46cbyClBzNUsbNbzbYf4a2BTdak+xnTIVjeS2r3Eq+oANCbk1tB5hxYGM7YZHeWzs6B2BLDRbAJY0QtmIPGykCJ4cwBumIjqPPRDNoBzYAjmgigQBFytMgDNeGqvf1y3bugzJCYQ/kpkFiAzEdJs8686IGGb8UBKSHATimqghlf7YgSCkqZfzLm3VPY3XRYIJuC4q+Q6/VeVfZS9apt6oOSIYkPVPMn1teGB1k7305xTE1CswrvXFnVwA81h0c2VfGJI6WyMK5df02OKr88QOiilCncQbPoQ+2KFy5DLVKFVsD7TsGOxJOAhzFZ0L5jHDYchIxwrkhlNPdWZVQJNeCoz/uPpZ3jMrAKPsUDMnXxfWfXKdNNxAS3wbgGqawNTQD2kFjS5FMID/vXOx5hj6El7WNgdIAhpYbJnTSh2TBZqmRsyrwqstld4T22r/jsTAcHYCT7GIs2EBDGQ2ryvrLgRmDMc9u7K54XPYaaD7/N5wmoN7PdBMmlQleNnAUA8VcSlEN0ek1FQ6UvQaPrRaKZbgWxb378d+Kukd9b76wPME8vfq6kzs6frXzJ62rxjftj1ezVLPck193CA/3ZzGc7hgIgK3dzEpgCF7qh6OzHZeVmAEFCMvtrGOhnab/tCHfse2OZJUMRUIAIs54F7i8kgNCnkwLPptAzIJWCIfF50XaaO8SVPOJcBL8uIcklIzwHTZyCsDrLZZ4K66HjOBIW9JZyNbzGQd89SglA7SFo+aW/rnRigt0ssLNH1pDC40ZVybYuw+ktbCatWXbFKFBpoQAVVhGVoz1SslUpzybde0BojMA3cf1aCOrLlVvFlgpz5Vdf2UeXAsynfcL/x+aJjpZZZgp272lpwuKlQmTlG00dFMMmLRmlyE/a3BTXouVdpW9VtCD3+sH2wzAT91ptOmRxemBgu93xG8+eCsCjyjWC9Yx/P4WSgUmIf2HRSjC+kFodsz0sUOnTn5ddMFZ/vzkIbl1dsFjs3ZOu9f8vtiBq9VaP2BGs31yQrop0tXpHCZHvNGqAaULaAEnnYixAzflom5Bpw3gasOWJMBXPK2GrAw+mAnAPyhR0hZLVWcAKUg6KOwPDs2WjfB9p+bclmk4pkRbzUtkb5DATr/XVy65pDVinRAABvnamRsUvXRtpeFXgtYZUGAuXbEaFUhHNuFUkVQdjYrkxToJGfAMWYSXsDsjoERDNCdAPL5lEQhHu7vQ6/27B9DeRbwabA/bjgZRixbWJGmQq9y9B1QFxpJnT/a26ED/8gYb1n4pJeFOEFmD4ZwPY22ZyxeeNng42VJuDyXrF+UTB+jKy2Vm2gW7D+uWEAsgEwTkNm209SXY/fbNjuEp5/GU0qQ6CxzExS4wKMj9qT3BFY3gnWd4rhSXD8hs+7TBy7dK4YnyqW+4B6H6AV7JurTHC3WxblamKMlF4Iyqy3NNzKB+nAR4QVemBMBRa+0om6YDWpo7MWU6o4jhu+vnnEKY94uJmxhQF4TqjfjXh6M0K+AoIobm64r7y/OeFuXPCfAJzPdwTflLF6OgPjk+LyQXD+umL6GHD/axbZzl/y2bmUKmzA+KKQaEwmcfYS9/HlHddO+XpBHCryrw8YXjzx5fOoh0pWTgxXIFmXsLFd1PhUEW4CNqWj9+d/zMVz+E6RTor6xYDlbTJZhMWdprZKJ8X4TPBjvbcK/WPXX/u6ZXz/Kvn4Pa8/nq4sRC3iUzC6oSd7RtW0ACKEjvYE01nWGCBjhKyhVUbaq6LRMdqGm6g5cBR4L34mgm6tbiIagu8v743Lz5W+8YkNmsAqwdK0J81gwwMj2zvowqeNzuRIlABtA+UPesVOe9xjp3xrnTGaQY+j0E4vtA2D77P7u30GP0eQ14SLCn4IR3L9S8SaE6nAGBGz4v18wk26oGjAr/N7fLu9xdM2Y9kS6saKe8jXQWy7D0WjuYWsV1Rhr7x6MuOVX9eelVEaBcYXxNWhsVske9MIvjdaks0qAynS6skp0Prk+piyXZOhoV5l9ERr3+rDA6Zp6P9WUvagsVXDXleI3AlaNfD5KYgke6XTtZavhf/whF3oglwrRMWqRtKAnZaM2PUxqdoF++MAnRM1W7cD5+rY6dveb7UnT30sWzuK4M+hH5puyuNAVOi/2pKwnhhoWwekqTBw1SiQxENDNmnPrb3cBVUEgtqSy/2c5v5AdL6a0RFyAIToIeu/AQi1UZmzUZmrBlQN2FLEJ9zgd+Eez3nCr0/v8LKNeLzMWHLEdh4QF+pN9rRE8ee2NzdzLSjs+7ly7dozI9CD1kewDrskplG/GGyxt3BPqjzAhViSOPa+sOpjkfuY9YkkkGEAUmKym3Mzi2FC7sBGvfqdPs7KKkKMpC2/fgW6k4anhLoGXLYIbIK0SKtqtTZf+zPGWR67vVPqrlrbkpUK1IwrA6p9Ndf2ZVLA0LXnB/6cB6NNX+5gBYA6C3KIRpfm2o8bOH+CrzdcUXZ9aEi5RduTOgXzOhFTmxOyf1jVKMpGPVSRDo5Ur3Zr00pdgRuFczxfyKHTzRgi+9yvXIN0l5zwIAeslT1yswY8LLsKl62/asCkOOC0f9l979kqe+aQS0YaJc0AvDxbxczupVXoAujMv6N+e9/hvQ49rHpNfa2uP0SfN7tK1FX7pxg6y8VkLDQ0M1B1ILCC1SPegsbSiQHuLt6ey0b30GqJOgpYJdkl6IBX9LUB982ZOpKlxT7RzhO25+pGTD5NAte4xldgjElMfC92CVY1qiTZZRyDfDAAP0mbn1etDu3c8Z/ZV7uu6fcCRO5L7loKxc7sRdGq7wCBwQomt4mVdG+r1ujYA70yyhhahYsmNHy2YRHUwrgJyuqrVGFlKFn1MlWoAsvGsPS8DtgyKfgiimyU5lICwWZlVTAunuABrr9MF6U21toalVkaGCmqFvzvGAu+RVoMo6/jk9TPK859afRaKJpztZt/lTl1irRVZd1oCgClTtHkDEtpc77tn1thuyNLKPZmR6GYG7Mzu3z/ND+SfSX35ecjagLSSZBfEr55usPpNMG5PVIAXblGWNABLm+pQY+rYnoQOFOtDoLlLZ/Ncs9+u81NvXbAFypQBcZHevKw56myKnjLfSNaUUUqMH7uc/NKKrcfj6LG8uR5SdqzPXOTn/i5FArvN6x9Tvj5ziQ1tnN6P2+8xY0K3ZTjqpiW0uO5XQyEbLhqEtQ37JnsFG8/771AFU8BJSScBahV8H26xSUnMigvERrpZyRjpaRKWNkEgM+nA56XCZfTyDHbxV7uAwJFqx7HpRpwo4ijtPZDdQQuxugok+/dgCbt8bkCukTkKoiRdGYxBlr7GSsEOMBTXFJhex6u4s/dF67HL1ghkL1w+TwDYKZTrNimU5+jUAPiIiA14KfAut/3+uPpyilieqg4fhORj8z6QwHSMzfPfAS2mUiW8+LjhYdEmUhNklIRT90Ugvqfwv1mT3Mb2Qog5Mrig+vXpojtJpH2cyCPe3lDW+u9ViWdQ6dRtQSVxlTpzIWeJxtwR6R3yWY0ILgUTuKwodlzxw0ATEexsVrrpivBKSW7lgPsa8WKNQDET4XazMyAxPtqeoWr8dWrLWrw73gasEnCp5cBD9MRISrGabPrDBAB3s5nfDU9YakJ/4/Hf4LP2wE/vBxxuozAhfbpDEIE+0TNG3yHrbb2QGUKbfGKt5FZSz/Ek2B9k5Ano42MaKhXN3LQRntsembtlIdgdOngQWxRxEtmD82BplJSCsKF7X7UjJawbZBcIMF61JYK8dY1QwIGUB+wrNB5QnlzACot+LHljvy7vnWfAygbzaeTUyc9+DKaxdLnjJtd6C75dl0laV8BsWxW0bUgzFsJAWQshAA9TNg3idchoswJZQo4f0GNcDahfroY8i+CvbbBxzNs2qiaQKdY8R4AFD+kpB003vh+r+EiK8OCoMjDzLXA5TBwLS+5Jy2uu3S6YeCkbjq79v40PAgrN2yV1INfsbg/KTAWROl63a0EfHu6QxTF5+mA22HBKY94XGZccsLHhxuUHFDPCciC+BIxPNkBa9VpN55y85RGMY+CMnNfiaeMuDKCIYATcP4Qew+3INzr7pXrdapW/RAzjmLvONe5OIJPKpFAw9ACY6kKeS6sTO2ZBrY3en9EOS80T9tXatetU5ljACT0QN8TXxEgkj6u+ipbDQHzJ8Xx7wLKFJBvFK7bkrKr2JWO3jazJwvKWh/crUAuC9eCueHKZeWaDIFr0qjtrcoVeSY4gJCn0Ohp1ShndeTnD8/aqllxUay3AeudIF2A4+/IEhqegRRJxSRlWaBLD0ac1eCJnTvNDqd61XaksxushVTa6UpztdYdEWLAmbf2CrZPV2vl0AARkxKETaBFoOtwHeBZEgIFTWM0QFVQVfB0mfB4npFCxTRkrDni8emIugXo2UBjpZ5NBThkIC2v9KGW+DhQSJaJtGsPO9CsHAjWbkeagLhBXE1WPRvUzjNFWALiSYyKLy34j9aab3zo1VQATRIgxnACKmVJ/opEhlTU5gzPy8YM2DJkVQLgx4nvZa2EVBXYNs71lJprKQDIWjE+KfJn3pfaPpherCJxQgsQGRT62chAsplTvpkQLwXp4wtk8+o02rnoY1uHgMuHAWUgzT+dd4m8yzQsKVT7zDzvUUCgWIWYPUJ5Hm9miEQ5BOeUJ7jrvXQmjn+czbHqrJ9bfnv8bH1ytz3IZ8Gthy+HhO2WZlhOadbhOkHPczANnVX5zcBweAqog6Jki3cu3BfLzKocacxcC6fLiGVLWJcBdQvIE2UmW4nYXgZgC6yQVSAspDM2H5SimD9WjE8FcSkIS0GdIorptH2/ZZCcaODlrA0DOVmZ2i19AfKBSZqb0ukAlFERF8HN35JaO5woA9AgWN8meIHgCrBK6BXZyL3n8E1FPJfGzpJSEV8Yw9XjSEmBWMxk1XSA8aVOkcZ9W4aOA+px2Oe4+PjPFccHYPrIifak9zyPKuddWAV006NJUj4QEIir4PZvKqaHjOVtxHJv6/+ePjvbLQGu+Qcxbasxe6Tv2Xe/7kwoiGC5F5x/VlFvC8JLRLgIbv5O8O7fL5zLd9SGbgfTiCtQrW0WkyElqzLxWrd77tvbJn3tZlY4D0/8XG/bl858v/PPBMtbPrd0YmJVbY6mE38uHwQvvxAMz4L5YzGWC2+DuYLFpCt7vT7+IyB+fUbNAXWLqBXY3gZIEYzfRwyPgnwWlOeI82HA3y4D3au/GxE2YP0q4/DujFoF68oNoJrQ9XSOwBYQXwJzqh0lvDCkgSgwfxRqkp8zZKuYP0XEla286kC2wfJBG8NCqiAfFfVQyYY4WbvUh8Rq7ai4fFUxfgqYPwI5C85RgbG2+L/O0vK94cm+Z5T/ZghcemLe8r+FeUMUntVkUESUCc07ImyK8cnucww25wTrHe/3+FvtRa7/mdcfn+TGwMx7ITrmfUOjuaFVM2/yGwz7xMEAa+p1dhUrp9xZgKfy6jNVIRBu1DGgNIdTQ5oHLtRihq6diim26UhD3NTKVjV5kAV4C4FmnuHJgW36niw0ndJ+rMWDJUtovKrw+1AH3wSCwM1i9m6A+/dFBWTjhtdbKzHp1SKoawQm0joBLn4AWHJqdLZzGfC4zVhzQs6xbXiNMuD3tqM2XVH9/E+rzjRXXe/nKj0pV7lOZFn10kbtYWVU2MbTxtq1Q62Sq7iienGsYCYkarqn2uYFzKhELDn2Hb+1KfGqUu36wb2pFRuFX5tV+M9w8b2iSPh4NXfB3Tj9aN4CbtDx+sVN4fUzFzP2Ij25JiYAdQxWURGUgwMJ/fd1Nzfa5+7p5xbc7/XqV9NtN8/V7serYCoNzPvxS4BmygO0+by/x5/8tR0Q5WMZNl4oKxNKHpuA8zxQO1yVz2srETVUshhCxDkPeFlHLDkib5E9oLdg2q0fP6uWqLk2sNG8dzfqycGrW+hU592eYZRrX6Ne5erGJaRG76vlDSkFepUL9plRfjxnbI9sZlSq11+AJbg/PeZX73OFiIgl/eA+uHRtohtTBJNmvN6jmgFXlb52HNltP2TjHPo9qCcfZmJXrX953VXJ81Gst2IPSqSIUUmlBfdeVdSAritv92p/7MATQb8XQX8Oe3T7ei+ya29tPWy8XZJga+tHo679vRxQrE77VxC0EbBCLECFMNEFgEiaWQjagv1SAmoQFBVsW0JZWHGXNRBQ9rX0U2tVr4PP19fZqIfK8Wmt7RwYaPu59W5PymuNyke7RtS6A8xej8PuWQDo1BGbyrLfz/XVdb5aGz9aq/YcYM9AzUzJKx77l8uAmudAkfZ3ryhc/wKu179V5gjuRIJaJi/pBmj7eydVsFX4vNrZ5rtp3yZpn7dnhnlbGjIO5HrP8GcmHVBuFZX9uO+vaT/Pf2KbcHabmwzuKbONpoz+Hq0i6pdvZA0HUSWgOcVLlqt4A9qrnK3VG/xIp//CtkUgBwKHxnYIRToTqfb2KXvvieaZIf4M7P5eXe9+rNyrwU3inKUISAftk0K3rin1e4YYW/An197umfp8VzCGUYsBi/3bn3Hoew2LLn6++nsqnPHY3Pr9VX3PIYgcTwTAPM6lH4TYePDa3FzI9+3OqOnXKwX0PPGiiH1O86yJQvdyj/9ezVVNagyK7hXwo/MkOogv7T19jEOWxk7bj+2+4urPv8Wzfi+vK43y6t9XX32e+5woA+/dtaOwWER3DAPYnGfCyLGTIpAiBCOtdZPnF7WKybAqahWUNTXZSlgC4sJKbWMZtHHYnSkbulu9X78DO2aMqv0x9p/xZx9Ab6XUx7WdwQMgS2jr2efGnkLs33d2Sdz4mfTo8c8R67MbrlmFNg578Id5kECn3fqyta3JJIN/wOuP1+QeZoRVMT5pS3AdZacJAjeE6bFi+uwVP86qeDHziykiv7+BC+9bUqPKnXEAD441k7KQ6My5vZ+wvkkteMyz4PQ10UHSqPrD4kImTTFZRNMKogOwxU7ZqJEf63b9bkzgzZ99EdVI1CckYHzWVnEuc0QtihgEoVREp13vKXoAUTmrRtZ5BG5naGTbiZA6jcgXYTKEPB8U27vCbKMFxsIg55Dx9f0Tqgp+W+6xrQm//vgOv3m8t+oXkHOk1nELSOeAuO5oZgso8F4JXNAISlAmaxO01KvASUpFWDIqki1AS74mVjTThTrF9V6JiH+5Io4FeQvQHCDPCdPHAKxoxgKhKNJi1DZL+N1xWHIFNgaatM2vkBOrRXAtVqN91+auqbCDdd2g6wrJGfG80KjKdV4A/yxWRdtpuPSycA5/Cj2AANrGms7aKhYEbyxIVWmHUbhkhNVaSAXY4SvUTW6505RdX2mvMifOqSlgOwbkOWD5wDHebmmWEjIgmxtH7CjUdoDIPjpT3yB3/QXFg5jOGpAMJNug8sFdaPleYfXKcH9GjZbqVboY+Sd64MoWOcE0SBUqRtkqQiOjIghFkHPfjTnW1JxpbecHdMyg+7JANWIppOk/ryOez2yjohsPnnARhIXo7PjEwyBdehXXtXdOT/WkMl5yC9bLzcgkzCg643NFugiWN2C7Mae0BQCDUoR7JKVye2avlbCKMUKY3LnW3EEZsUqujqbxqEbTz+ZJYHPaKZoYB851M9uhe/hglbF6DTRYVYxaXjIXZDC97YuNdUpsAXYiCutBUrwYjWg3Zp4EOP2xjKTWxRbEB+Bm5t532bCnUGsMzbPAWwVtbyZsd5G02ENAmYDLBx6K+VZRZgaCHmRt9244I0gnfmZzjjyYiZ/5BhQLlBpouQuEmtnZLhjajgG5AulSea/mgMtxFPssnkmsro9wwztEAjGo3cgJYIWBng2uZ5XWgodrTknFAsHAmgTlruDm/RlDLBgSddKrgTclD9AL3T/ChRrS9BzMvIPGJHHTFkj4fYfMFk8aA/ItNe9hYQsb2WrvFSuUQuQDxxiBe4LOwHZXex/lqIiHgmHMWM4D16O7W7c5wv2lThFN12yUX022R1iCGM5bM5JqreG86r/YnmyGX+L7PXDlXQCjLosbT21bXzMAYEArWV1GeVU0yqObZrWgWfuez3luDKeVLqzbF3R6D1tF2jgn9gBT2CrmH/IV4JPvEi7vuK+td5wL61tFORbIZtXw2o0748VAYUEzSmtghgWZ1H5zTjWKq1Gb235q7KMrFUOAeUn0bzLOAjREYOSzaq6/Nl/yHFFHaVVQd811do4KAap8AIIaXRloLWH2thcIipAUH+5fcBw2/PbhHuc6ombBy+cDsAakh2hML2nMIqebxoXjkSdBNXZLOOcGJGgAxseCuFQDxCyBtxjLHYND4drZboHli9pBy914ySaIZ+qit1uu5bQoe8sWIECN+VLtTJS2HlgtJqAnhUwyuWzcP1JobuYa6P9Qpoj0khHOG3QIKG8moCjS00K2zOnC/T8lxFOC7lplvfsfBXJkBW94odlhnoHLlxWaFMMDK4R10k6/Fu49yzuC6dsttarDCTh+U+llYDGD69W5jzIpff4TajHT2VrQFK6nOgimHwT1Sch4OhZstwHrW8bwy31osggEYJmBy3tSi9c7LsTD72j2Gi/A+DlYEmdr1j6rDqz6jQ+Ku7/NUOH7lImJ4vhgscyCK7DWDQHThVXEuHRmA9242S6ofMH5O3/kYp4+Cbb1gMEYnnFh3lNG4PkfZaT7FflpQHymBEuXAAiQ7wvP1yVg/e0NwpcX/LNf/hZP24S//OuvIKeI4SUgXgTDI3D4XrHdAI9/QZDg9j8HzB+1gY7jszZvD2dSbveC7ZZxaDx1ZiuLCmx9WUdFOSrqXPH1r37Au/mM/+lvvkb4dkK+UTz8swxZAm7+OpLxavFgXBXjb3f7o631NQKHj4rjbxfkY4SU1LTb6z1ZcGXC1bX4vrsdYW2OFNNj7aBJ4hkfz1zzl/cDyrrfPH7/649PcqMfWkCIIBW5cII40qBiOq+10hDKN3/xw8PNGhTIAq2K4FU2q2TAKJ9Etfj7dQg73Qk3mu1WUQ7a6V7+EqcuGPXI0S5HBhxVMC1GbVRO6/HqB8QOjeI17FCj2t8H8GA44HVBoemPamViJgIc2T6jt1ewQ1/leiIUBgubo09y/b4C2pFnDabLBdYlYb0kGmoADGLM2GSvx9xXaryPYTMDGfrhxT63PeFvrqiCXVVLIN66oliFZVCkecNh3rCsrCSX1VqJ2L20Sq63mvDkySpEDha0FiSiCNmoa3vHWLuvBpa4y69V7LRswLoCIUJuj9fa10qdl+bdIqqkrcRL31T6IkDrOec6dA6NdO3e7nmLSEv+rl6lUGvpOq2my2X1tkyBAMJMs4NyUJRjhc6VBesqDfVzhqoUQFwHaPP3iomAPo98HTiq5y0/6FZuw+kGTQI07fguweU8kNYLFdZiQ1umH5rO5kdVowxWq1ZBiP2aJJiRHZTtDEogiq7U6YrdVK4BRQNyiSg5ULtVOG8oL5BG62tmWq5D8+S2Vfpt/DIdsOlSuGvThC578MbsLYgUAIHVtzQUhFixjBE1cX3TfdWSw3bCvgINXA9cBEDBlQunJ+Fi9ODXFa/gmbb9+3W1zl9BuGnvtIrOJCHTRRHNsdWD/kYnsv2iGShBgGCGWb4hRkt2amVV1StjTYcYOlMhUArhxm1l5H6ejwTH8l0B5gIUaaZvKgFhIL3dq7qyC7iY5KJX0P02Pdfx+Wfzel/lcTMVXXf62n5kWPVReU/RKnnm7N9ALEvsfF6w8mD6tAL+gPTCNv/REyo/a47TiiEW7GYLAcstQC6kboa1yyb8K9lZ7PfX9Oa2vzbGUqRRivcvp7RUOC3cp8LQ9gYMDHTa9ApuTAXDkJG3iJwcYPbEuu+BZMv08ay7ZFB9MByg2bW/0hBMumRg2UhgpFFMgK5FDL7ngIZUrw3JbJ47eyTWHqj7AO97n15rstH3/w22ngPqxM8Ma6EDctrtc3xgiEbDrkNorIM8UxOcj6yi5LsCuc2olwi9hF75LCwgOMhHSVfvGdrnMRqbocUlrzTlrQILY1rtwUS/ZA+zLPmDSovbWlLt63kXh3gbGdhcYSKEq/Z07T12e39/LIo50U15iAVnAf0vltBA3NYFonRQi+A4rNAAFKu+evDl90iAp0CF0qo+MLiKabwbSDUQp70CeOGF2m1KEexn4/X7tXOl0uSRjEaa8UHIvoN7PeylJH7GBHButQpmhYLMxRBsz8+lO+k3eVYH5+dPBTlSaytZCVoH6a1pqoGuQVjFU7TBYsXNNOtG304X7wG826dMs+9tY/JRsd06gO5nN+NC12Budwokmh1l10sPHZR0yngdgDoB5ajwDg4eh8ZFW6UR6GeUV36hYDeOKFjeWReQJrlCY0a4JLHFrUXZV9e7pOzAKk28vxgM+Ku8nsGo0tSEs5dtPgCYCt69ecH32x30HNHoQgqC4ALIU0K8CEoRfJgMbS7c08PKhDpeKKEpY4AOijpWhBwwnGrrVtJidrHnkYzVOhkwba2W9lVROKPVqMg/v3nE14cn/If0FaQAZaiY311weZwwvASMj0pAzrT8g4HLznjIVuSCVsQLF+dwjigjsA5iALbpfX2dqclDsj9/A4INdPKcwltTcW4Kyu+La169/njjqWVtkySuFAy3ZCeioYoaA/I02OSVNklRa1v4kivCxVyWjf7TEpMo0InVjXIztnYpcaX19+UDqZv5iw1hLoixQgL7UdVLREVEOWgTrbMaZTrbXaDejJRE22Lbbrtg2xdqOnMBuktwnriTejLvLw1APSTqs1Y7pCtaooYw9bEsTOb83sZnTuCwBesZRt1fWIDD37CVTJm0mSJoVOQ44K8+vbdWKQEh1Bbv5jVBT4kIznPoh0Tgn8OTtuCo6dHsMPWqLr+HRseqU4SOB9QUUA7UVFCb8hOBRQW284BaIsopQZaA9BKsSoRWfeS4Oc3RqD8HalziJVifUgYRrS9rrXRctjZCjmjVWyLseyM2AbCnh+s08O9bhqJCzJFWkPsvxYR0KpgeuWQ8AChDPxipudUedFmQHa2pN+nT2q/Hk/BSmfRaT1Ck2DXoKaDMEfnIKu7yhvN8+VChh4JwzBiGQiMLFZQlYi1s7h7PnOPVKutEJPm5URSadzTbvSGOV3bNedn/LYLmwFmTIJiJVhvXqgZGFbYQcr1lNC2dCBOeDIQQoGNgYly9qgL2M1XtSZ16cmLtp4YAHfmZY8qIRuG0H8V5G/B8nrA9TJBNkF5C8whIF4JwXsFlEqBG8UFz96VJGFqi2Z05WbXRSuBtO4am3XKTBDcvKoWb81asSnXuFQjYeLv5zb6KHLZKXaF5EfDG7P4OE5qG1atXfgDPfR/hfBWCDN5GxRgDLRqtFhm/5sgr3Ua5hoF6RgsAfPFoINXWqyDNQ8DougQs6YzLip39bgh0CLfktt2bG5JZZWodBZcvCOYsXxRgqoiHjJQK8pZQLiAYGgE18x2aIQlCYEDJYB5trVJ/CqtY2a20hNYcKEU4Z2s/UOPOLb/MsVU7pSrqECFu6uProCjEni2DUJrMVWsX48AufL9bcUX/37vP10mBoDivA3IMOI4boihirAixoGjkfljI8pHMCkK6MNn3IM2ZSYPpYkXVTJACK02+dv0adrGDmGNs9XPRnnfYCDCpmTLlLaKWgHxKiE/RgllY5djPFGMpiKAcuC7iOUNOGd4qCt7vPsWm46ZWMfafccMjBy93fXJb9bQBGZZQvwqIaqSxzPDioKUnEvx576dJ0NeAHwvIGESbsaad9aQo9/Gjh0K4SvJd1rTdJuRjwOWtYHlvccTBgAEBjYAUBBHU14VYGxS/L36vDj3ZawZS5hXS5pIz0PyZ1q7t80pwXG3eVM5zGKMKBW1ddxokHdAJdgqcZggDNcbnyrjphvsjK2K4ajlVE+dl2ATphftlGQKKAN883OH7eIPn5xnV4oRo+3g8s9I6PKPFGJ5IO+jI9yYbBO+4L45PFg9EQb0b2hwJqpALHY2XN6G5TLtHRHqOBHRGPh8xw8Kw9OfS+msrmgbZtbhlJKMkLoWa7VzZ4zMINLDarHOy/VpoYCeCcjdZVblCzmReyJoRAKQTN+M6D5AxkTbsBlRVr8rj4XWiZnFbeibrZvoMDI+K7VYIkhe2/KF2kuM6PvpcUWOcBIwPGWGt2O5TZ3mdK4CA4Yl61HTq7JV4Yfx8eiPU8R8qZKhY31Y8/oNABtojiyKuu21gzQZMP3BNlANwmvpZXhNjYu6dnNflwP1zuxecfj4BQjd473qRzj3m2QMsbtrJONuAtz+Jtp7RCjDDI/9veWtzeSSwkl6k5RPuxp2+G/Hd8g4yF8hXF+gagROTXUkKiRV1JlJcl4j/9je/wrokxEdzpDaZE9k+fP+bv2GBJ53IrnCjpnip3NcDGTg1grFOYRw4PnJ/Wd7tpD+Rsdb8O4Lw//3nf4j/blBKAiIQLgHLt0dIETz/KRC2gPGRTAcVYDuyojt/pJ9QepuMSSF4+vObtqeGrJgeAQ2KdTGWiqL5wNSR82P6zAouYOyrJNiOfLY3DwXzD3TbPn0RUeL1nv77Xn98krttLQhwimsdKDLfa6rcuc0nE6mSFiC5zf6aEZ4vXJDHiTSZ9kFCoX0M2G5TaxEUV0709Z0iHysOby+4mVeMKWMIFZ9OBzzrzARgCpaE2M1bLyzXaEkVpG1XuQ1MEPLRJzMfUlwE8cINfrNcvEz2++duPuCW9CXEhiZ7r8xW2TLjKoAoXx1jp7c9sx0HEStWbfINF/j4QCrQdu+GJpaEx4inhwNCUqQhI8aub8krIAs1W+lFDDnhAgp5T1OmQ1s1UwkGdr3KAfRgoEyRbsq2CAGaYkglQleM8s3fAXBh9Ta8RKQzKaTdtXVfeUB7ThoF2Xo1AkBolU5AXJNbKzCNqHOy9iQ0qaoze5o2p+6iNCSxgJuWblZHUTUqdGjJZrvflCBLxvhotDm1g/TIZLsYCgkRlH1CbRQyyTScCjn2yluwz1Nt9Dvee+Dcs0C0zOyxuR2B7Q7INwq8WzEfNoxDxjR02u5lHHDOAWUTqESExE1OWhNv7IActASmOY77lwUisruX/c/unQQBcH4XbfRAthCqvLcYSb8VHuLIpRmuOX2ygpulB0uNAl1tgzeJQzkoimUtQ6xIoSdpuQaUGrAuqdHa0jPn1/CsrX+iVyPjuRoNyau46FKJphc1E4ViLWwQ2H/YEMs8w4IYrlHJFlBX+9pYdQyXXn3w8W17n7MW3KU1194GxfY+iPSWV7l01gJA1+2JmVv7vX0FN+cG6Pj3VBWivJ9rUwEgrLX1DfcEYL0JrbpIsMP2rNL3Aq+U1iG0ZBDWdsWT7DoNXKPFDOsqq9quE5VKdH99q8gHRXq7Ypo3xFCRYsFJgJqF+2ewxHpgXLcPtDX0+eMJbti07cnUFdr12h5YBQz0LMBv5mRmGMj+14rBqJo1BeiYIFtF8GRRAW3yFF6DV059be3lAoC0zwKsqpGAVSzJCYpti1AVJrmBcz6lig2WJK/CVnYbW32ki/ZrEe4/qkyq41IZhJmbt9OG+8Pvc0SUbAlP8KpprWmAI1cy17pZy7ZLZGC77lx7sxkUbl3Skw+cLOl5Q1g2uMHe3rCujqkntkBjItk/2r7jpn5Nn+73sWeziVwnuoEB73Bmux0GvNqomO55APQqr2sAPYiLi1Xt0YEergOCOK0TgY0DjO2RjwHLPY2h1rek5OlId1YA3DMErCBatY0VQ0Wrvltix1gKrZtFumhrX+JfXmjgxfWkOGQAdu5GY11BYfNckM42z4fA8fRzXD1p6vfuWjwa8zCJywexcfY4DdgKgZH1jtckGUgr9/NSBLoGnJ+4qeo5QVbSggcz3XFvgOFZMbywCFBGX0PamHoQe04xIi0V06cNqMD6Zmj9gN1UMyyFRmpDZMXT1+fKGLGMZvIP0BU6m+bd5Bye5AL87KDa2gVp4toj1dyMRd3DxPbFOkZgiNwTM9mO+cBEPC6FbsoXa7NZFcFAwuLJsSpCDJ3iX3dxi6+B4MummzQBTHDnhwpRng9hBebPNFpy48/hpSI9byjHhMv7hBIYq8ZLxnZPA0yp2gCz4ZnsEu5FfPbpolg1oMyKfFOBsSKkinKXcU4R8YnJk1js7Qwc2DwfHnn9ywdWUvHJetFGtH6q1L3CWECK7UZw/oI3ng/c89OZtN4yMp66enl8YwlXHWlupQIMT70danpmIn15p83LB3BGUY9ZoMD0UZBOCZc/q/jZ+0d8fLrB8nzktcaKmCrqWInJbQGn395CNsH4HPocakku1+rt3+0ASatwprM5/Ft7MtdcxwXtOUyPFTUC6300GrCa8zaNyXq1V/D8J4LLF5W5wkPgeH61QZIi/MeJ+UcgozBkYPy8IJw3hHxAPkRc3kc8/ywgXhSHjzAJVLFzL2AtoZ2BNQKXL5joxkUx/7AhHyKWN5EV25n7czpXjL95gP7JW9RfROT/pZJcADu6H/pkM1Qe6y5pFDQq116b4s68RA5p2a2YWiIDWHBl/TapZ3AnPy+P8zDIOWDJkTF3rNhyRM2B5X+vpHjlR6yUX7ihOde8Jb3KKulrSo0mGltx0u2+dtQw9Sq0dgQ7rOXaEWyXYHmvtD1lJq6swq7mMCfZdFZmjQ8BchEg9UXgaDAM8Y+xYjVqsK4B0a7VA/5gCFW86NU9tIqD37fRDb3FgJtpBUON9toG12tili5CN3dWmOB8n+BeUcScJrb77GYiZTTpOkYiotm4Wxbgt3YjIZBeI9LG+8pEyqm0/jw9UAF2QVY/xAFAS0WwRMRfEqwlFQBxDbX0Dc7XQxkd0Y+tLUx7n911SK6d4vZ7qBhtPWxslxNCRZCIokKt9ZogK02WGiihr37f0H1vYM77RdPi7qu7pCVfJ8U/egnHqyXvrnPeU2iLJfWe+FrlVILu6LE9qLxq3ySc+2LIf73Qkv95nshUsFfOETkH1JeEtDHQ9rYOPbm1oLu1mFIEbznlVc/9qypvO1uSWxUy0GyPRmTdkIe6OQZA+kx6s8/nuEirQsQLdq0XFD9Jp3RZxo6+xvYjQmdljOgmTqH9Dmn3pr116mBoEU77uRbw76nOQNMyxrU2Nk4FGijp1SwHtdzEGZC2p0uuSM/mUh2oX0QNjRLuUhRSm6XRwKvRmbpkASiZoMXhsGKIlYCdchzcyKPvUWg0NXcP9vmdLvxHe2/tgZR6VckC6AqCVipA3DpNs69pA9iMmRFytb8XBE/o29xVoAAxCYaztgqWs0BcmrJPpCqYQJUzE8d1HJCj4odCZs5yGVGWCHkhza2BhBsrzyH3axBVM4Dx719PM6ffB9ez2jg61dC1vFfJ0Qqki6AWYHOato1PPIUOXDpDon2OzUnfzwEDfAjqNcbCrkc0uyjsg7o96gZIMtDSX02G5Ou7/niO+3RZKy9gDthGBndV+pxpkg4BNeMH/4++H5Kub0l4BVlADmjvjauEa13RYxWCXNzz2k9G2yd3MiXXoYdCunLw/djPSQdO1KofkYy116BK8wvQvsc7vdjNibz1XyhAzaGdU63N4qsx5tdOk7vby3yutM9WmJuqIhylJ+K2DmXjuuYcVFZwL0y8urM1907uQX3PaYBWNUbQzm+iWmtJauRxtU+pAHViYWFvlOnxT1jAa7J9Qop00Gy1a1p7cub9tb2C2j1FTI8eA3vAx4ByNDbDSRuLr21lTssXNNmPJmOpGW25zy07J2KAaoSWnuS2XqR7k6YkKCP3gjIL8iLNEZvsM8qstmPYUd/TlZu+d4rYbiKWtwFlVIQSW/VNA1AOjDHGB2D+gRtcOhlwH1i9RwUB80gwjok/upRq/xLQjfug2MyYskzAdl/huvrA1vCNhu3xtMtqPNmVQo0ydgm1FEVw5oR7xJg3CJkDfa6FBRg/SctFqOW1PAJo1Osy8ZrlFPGb376jM7jdWL0k1KiUDhYCh2G1tWSUbLrYq+3R9vEONlf/LMEWAqUAxnaeP1WMz1Z8MQ+R9TZYCx7GIOlsZ0T2cRDUmz4mzsKh1lmQL5HadOX9hZV05ZCBy5czpE6tMKZRGqttOwiCtbMLa99H3CsDwkQ8nvl5ZYrmz0M20vjY94/65ghNguGFhbc/5PVfJsndKpJrFT3eyqSNedudbFpCaheAYMJFUqdIRxqqAm4sgZt22PlLYRtbYjC03FMUzyoqH1ZeEy4AtpgsIBiAJSJcAoNMD6DFqsu31ACORmXbbgAdOInjIj8OCoToRY190w2bJZ5WtaiDBaW2mMJCnY6cNyJtiW1wFNKTW28TYxMkLgXp8cJD/X5AGYwW8InB+vDMvow0rCBNthwrdOwunPO4YYgV59OE8jxALgxA4oWi/Ljrf5UuirTUpmkD0AJ8v28BrD2S0RAN6UsWVIbdsxdVrHdjo8kOT2iBrKNz7bNswUYL1MIumXb6qAfGZYooMbB9yNlaJb0hLcIpkDpEqERWWE4LsA88o1VwATQ6vCfHix9K2g+ONhasDsfNgn+j1oWNiQyfozbqYzt0hRqEMsVG7wxbRUDm+CW1yl+lXndIpCnvXC37QkP/9xJQ6oAFgKpQC7ck6BqQnsMVeACgJ7yWhOcDOoDj/++xiwfho3Y63AbE9boCBo/Fdii/j79XVTzxlVJ61dp01ayQEVGvkYCLV3TD5gcpvxdsfaYXgZSAvAle5MAejv65F7qFp+dApsLmWg9tFHpWbu1A85YfqwMm3XGbwbRCAgMKVus268dNHWw6R9L7TEMaNsXwzOAtLN09EGKamidtgBod6WsDB9UqTdQzg8msBy6+D3oyMI1sueFB/G6eupmTbKXr/dsc3j3kGBmVbxnQvujrPCJtFelpI1V+CkANiEmvnn2ZQqOJZXOKrInzlT0qi1GXOQ+CMxdUITaOdUoNtNIkBC2tSka9oSCfErYhYJo3zCnjJbKXJuoeKLBrj+CJtp+LTnt7khaoE5gy+nsyhk5SUhALIMGY64VJblh7Mgp7DxGQQmh0bGctyInPQ6cEjZH3bQnX5DSy0dgfI7+8csTghdWw+sKJU9aADQOqAIuOTCTPAeNKQGV4tkDkrAZeamNEsPWGYvphgeSKcjP0Krsnb4lMAxj7BUNkJcAM1hpVvwDYFOLRBvj/YREGPgCg0qQ8jYrtlZlRzAmXCd1Veyavatm+29oEeWuhVo0KnE++/wJAACQaU8dMBluCW8yr4ScSXABIJ7LQlg8zljcW8DWJALqGWYBibTgAk/WYs6pLi/Za43Z+ufZyr/2EJ2P23FagqqDOFtxPBXGoKFswUzFPQNGqcvFC1lWjakrfv8vsrJe+Djwh1gFWLeZ+rVfgBffDMpPm6268IsE6IRhA4vT8HVjhQGUDLiITbEqctLlHkz1jrZduSKeso7YuGNFMbTxOTC/SWjo5WDk8aQuePaF0Bo4DOdFAne02Yr3le243ZFCxjy8HJxRWqbfjTvdadgCAJUKslon1uuW/WSGzGPC8o0lbfBMX2zMyx6mYpwbvhdrKfEPwe94qQs5oLdiq64aZGNcgkJIQzGtEtsK4QQfGxMH8G9S8MHZO/GXms/Y4nGuRY6xJsd0xA8xHNCp5GfmDly8Zs5eJsoFmOmZgSJ0izu8FL79Umlel2J5fazM0kkE1f3tCuRkx/YLU17wSBK6zoh4KdCBNOThwUbkP71cupYMKvFuxzAnbbUCdK+LbFWWNwMeptQHyuKQOsGISz4dyz/k5/wDc/naDBsHlXSStfrV5sTMQ9T6ww4kGhOsdWRjDAtx8y/3BTeM8pnXjqzqaQd9BMf4QMP7VhO2GUjOIIjzFvg+L7eeP0vYGFfNd8XzDTAS3I2MLZz5uZgwYV2AWFqzu/v1nyOMLtj/5gPPPZ6y3AaefWUJ5Yruk4VkxvlSsNwGXD8FaDfmZSF1svAimz8xpyhSaB1GZmWje/HbDdhvx+S8S6tglj2rXqwFY3nLvDxkYSm3glLMFQwGO31ejWwvWu9D24rARIGGv+YDzzw6Qqjh8l5Hz9pP7+uvXf5kkt2i7IYgh/4Y6XlEar37JkI6xIxsqAgxMQDTGXmFzhPdVdcuRZe/3pQKUU8K2BZSxQKKirtEQ/364+PWILSYATevi/c+kCGM/+YnrN1RPd+hhozok+XGLFQW8tc3rA1d3OqLWdsB0k45wN7qYvVmj0MF0xdGrVkSi6zlBh4pTmhBjRT4nyCUgXkKjXDjFptmKvypguY4Nhv6LPWenh125RFtlrlG2KsfIheVButW+j1NzrrSKv+sS/bBt/fqCQE3HBaAlflwowf4esKckU0NhiHoMV0lrq/a269w9E3F6Nn4yMCLVSFk5T/25tcpn6Iu3zZMKIljqc6SzE9pnxt3477Rlovb7hmK3SnemwZRWRQkJS6UtPVa2ymmMhd38c5BiP89rssB9XzWAr1kPlC2w/ak1/Pe9vLhT5bpC3q6pgxioytvOHKee3O8qHjZPauZcjxGoS7gay3AhFd/t9oPpEr23obetaoZmO8OpNh/8MTSNpf9c6YG4z9tsCHQEpAiLJIG/09Bj4fB6v9BQ7JpqD1ph13JV+fYE13Xjex1rrRBfYD6/d7+nIUCa68wrsKYNllBvVwpUO69TXleygZaEAT2ALdbzVSoQ4GsVvXpkn9H2EfHkCNfXI9LWTtuXC4NKCDVwioDzecQPAM7nEVgIZvCrrwtPaH1Meb1o9Dcyfnbft0RQI0EWscpSAx3svnxfbj3M3RzMhyrYXl3xo72xtRMybm93cObcduaMV3ziBtTaGQi6WiIp/rvee9Z+xqpW0YAT3yc8O/MWb3QatvXmj8H2l/YcEhMCJogAUr9mgGCcCJMfAkZ8ZnuDJZqkaK/6OsMLuFqre2ovqwNGZd5T6gPBpHbum0nZ9eQUINAbwPeZq7Xkz0GvK76eKLSqben78x5M9ECsnZPa9/pi1Yn+GTyD3WRI4nXM0sBR/5Zyz5PQtZ4ayMrRJVBatPkYo+lo94GxX1cw9pBaMN/YUNjFPPbz0F4N3rOmvJpLba72yqxLR9Tnd3/v/XPwtedj6NT2dv++BezOGjeMa9XmAADU+8Z119LJWr85++XK+NLH0uImZ7j0e9jFVn5Ntsb3Jjwha9ureNlqg4YWf3Et2zxf1PZzXpNXMPsegUZxh7k5y24sPbF2QLvFNr5feuzpcUOMkKAWl1oMU66fhYpczbmauP+Qxt33vUajh99UH0uv6IZdDpFnPot03oPElSZ3594y1BlNYuPAqp9gezcjz7GtoVAECGw5BnOv3lPsG6Ms2R7lwEMFqoGqzdyv0ieDY4mr4oADPKHakTcRP3YJhQPWUGksJd+zfI31wUV7dpRAcQCXN5GU2gWIlgt0I1eBrmhnFQtifEZxRYuVyaaUpu3u5m3SQUm7N28RBgjgDE57j2JeAfU4ItRK3xNfH8ao6Iab/ZlfsT4U1j+ZP+f6Xr8WdgZgDOCFOTcJK/OOXbF/RmL/b/3qnTXY/i8JZHTvCrFn15lAnJdi81AoCd2bcf49rz8+yV0z0uOFWgLr56lGD9HICZAnK+n7wjXweLmnO/L4VDE+ZCAIyldvAADlMEBTYOXQEEKfjL7pzA8V+kja8nZrE+B3iZ/7TumCpgA8aLDAYU+/cmH3em+ufLP3uPSns7tX5YOuUaml1U7TdZ0OK5FEMaK127miyvrmxJ3MWqqgVZOarb0Iyi0bmIdNMT4W02YG2/QrsAE33/LhhzVgseqRxmhahRElAPNJuuOmtbrxlkfFJ5Y6TYULk/TqujvU7MDYGOzrEKFuugQgrAXxhe2Q8u0IDQFxYYP5mnpCXYo0uh5AusP8kdrIYMYR6SUjbGzivh2pOyEN23XOME3XBKcDiwLpaaOpQwo0xLL5iGrX6wGcAmHNCKe1Vwm8ijYObNeylOtASQRyXpAAlLuJlIpoVfRIzSwrQ9IDaG9L8mAghSHaUkPTrzplEzYkdFKObUyhimQabQ3U58YLEC+mgx4ivFUW0b1uzuG0lqtNZjYQwLTpspk+Hv3nWnLmB89Of7T/f68gtKr7/lXB5zbZva6KZrZl/y+mB4yNvcD/rGOgi6AFa6EAZeF6G8wNsJ4F8ZI6QKOdLhStlYP373aTu9aqxxD2eMkNGLlKFHNlqxK1KrsHDSI9kREgngskkyZUVt5DTWak4NRvG6fYgqJeaXAKWSjUhbnNbnMOBxrLgMZu3K7TM9uMaWSAj8wqM2z+ILAPn4TAMM2p46+rWlWhOUNLr+SGpxMwH6Fj6Pu59IR+OdL+n3pCY8E8drqis8eLaa6v9jvVfn1NWgBjsdiPF+5R8w9W5cykSMnvDsj1iAHMvZy5I9We+8bKQbb57QEwDXlY8crH/nucZ2CCO4J6R/jhbvQpSxxRKR2J58x98bLTSwPQaUAxnXF8BIECd442Wp9GOqT7HsQghhFOC8DBe+dAcJMMKyDWD7DhFpacpBN1VnT3rK2SJgpWXa3q0pKdje3sGODuzlR/XmL3cNq6P0BkUKGWzJKaJ6T67V5N52wgzj5A3EtQrp3jgXJIqGbo5b1O3UG5zgbwJLkCBxmEXZt/BQBY7He9ouu+ClumLr32eR4fL9Cvjsi3NMMcTd+53pqXyLDbxy3BJOWd+3pOpD6uGqkrvRhAuwpiUZQ5msSIWjTXITsLzccqXQBdKWWgZCS2BC8uTEzyjUJH0gsls9JW7Vk0n5NgiZjRf7Ebc8n8Mx8tJjqbxtCBNze+yxXTc0F8sb3EtLh1YnU/LjzjVQTqzCTfSoZesGgaff9/PzPU+52iVauSUSEbXVporKjBgMpNGy3yKpl7JfFo9+BU2oHUyHkrtg/Y+jb5gaiizCwVhoUB4fDMn1nvIk2zrNKsAZAT5x8N1Hhd6aJX91uj6z5Nf+jOysJ4hS1sKoanFfl24NkdBPlIo0lnDkhQJn4iphcXiI23r11RmlHxPOomha8LQdtRMFjVr0yC5a0zjdD3l8L5xgECLu+Z0L75q4rpc8bzLwY8/5L7/P1jRjoXDB9PkPOKd6q4+XaE03YZS1JGGI3yu94Df/u/nxv92+dkgECDYrjZsAUanjE2sYRtUtTRui3Y9aWToNQB7MXOvbGuE2KrfLJ1Tr5RDE+Cw++skvy5QLLi8j5iuxXMHyuGx5Uyybd0Xh6fK+K5It8EUnutIqsC1BhMbmIGfy8Vx//8CJ0ivv+v3uD0qw3jdwnzd97G0VhDq7Q+uXXinD98I8YS0MYcIABlnhG2XiRQnuj+Bss9cwXvKOOgsjNJNQLrXcB6Bzz/4hYabpHOFvNnxeE7Xzzc92sS070CzqZ0A8105rrLN9RBOzASMrDd8bkAAdNjbMZ2KsDyXs1sjo79IfM9pdKVeb3zvuBozCMNwPMvqSWePtF4inEf53S+4bxY7gPy0Yxw14Cy/mHp6x+f5KqSZrkGBI2MYVWo1USww9GoZB50A5accFEOJzHEFqiTudeaq2krIvmm5tSYyoDWDWM0mvbLJojTRvywdb3VHg11lMH1CJrYFsGR/ea+ts91Kq7QpoasWuIu1f60z9nr7Rqq7+O2+34o/3/e/mRJtiTZDsWWmtne3kTEabKrKhQugHsBEO+CJCjkIzGhCCf8I8wwxAgfQRHO3mdQBBy9AeW9ATshgXebuk21mXm6iHDfjZlysFTVzONkFkqkrtBFTmWdE+Hue9tWU1PVtXRpCyVOGP3E18CR21YyZNLeR6MKXCtVAC8p6Ca+Bu4Y8sIgO62kcnSRho6+v0Ry/RqDhuRjefYWVTIuyFB12SqTQYvZog9MbeM2oGX2PXjliZTS1ilRCgo0LJU0NlswPzADMc1MhrxvTJSCJlRdJf1IPMAGD+xY52oBkD8bR3SH+/nBl1OK6zwkj2Zn+cWfhKB2jMnm2CsX3/fiT+99ahaoNkum+Ayl9rXwvhM/HFwi35E1EUNvk1+T9kqpsMIZaM6IQHtg4o9Z+5/P7QT4wb7S4X5eripVsfmBjrw4DU6TQLJX1b3yygMR1R2uxJp6tbZcrO82lEK1z7u0gN/p7y70FGrXL64t+nMdVcrpVthG3QkzoVHrO5ZG2nqqwzMHbnqBfe+N9hfJtttfGezAigDeW6OFKL77hwRwHrCtuWajrY19vT/02BxJH4WnfK70yDgwPwcgkK028w/7zRCFhkB8vULeBp8/XN/LYMzXlG0LCrWZh/VgBRCb/eoihnxOtnaGLACWmPg1w25N6dtb9gTJn6m32GgEDYEYaE8m+7WZzfjsYkvU+WwSt08m8qyD3XgLytjTKMrfDaTHviO51sGWDEnplXFHGvyVtt5/mLZmhQjzL+ZPo/dfOorEtdP4Tp9TzLPGgvbaWIxTQMQKY5q8BRPJzz5LmluR8D+ys1jDgO32ez975EWgELjKurTebegtPD7TFDB/qta3b9uFZ3/riDnAvWvqzPFvI5K771aM4s/YK9aTskCSLGkMdEUtVhgSvCQKXW//LVhdvvzKNRlHjVFd3RJeY41lO1MYuHKP7XfDexRxdjoLAQJodbVr+zcIYAX9m1aUAeH6DMVtLKymT8/0aecDi1JTZqTYlHOhU4oEWIbPpWaAvtjwuHn2UahotBVOuNBgdKl4PCcmykek1OnhjFduD5S+Vy1OyiwYhC0PiFAQSoTPK9DeqsgbY5x8oNAOIOwJHxJZggXsfc/XFp8FADC78IJBJKTRF2o+wIpajsqx8O0AA/u23d7DxyTptP5m+2WriLYfs+2XXnVsSXKBNc2GpA424M+/ZVDVXQTluWH+7oL0TUEztfEAO5Ydsm4oH66QvaEdCrb7Ai8suvK2VKC+BtYvK2QXHL5N0VMdbD4LLMaCfNh4AbT2WMrnOEehvZE56ayolpkc15OJKBmani+cj7yfmYCz+Kl9b6j704Z6SjxnCkKJ3xPvsV+bM7tntBlIdzvqx9Kv0/tnL4q2sXBTD7T3Yq0l07N2NpeQfr9DI39R+xy1+CaKbnZO0Q/1dVQBGXpZsN8TaT28RwjKxcQTW+NmeY+z+5x56T2704WFkXqgj2G/sKCVhnakQNoIkpGWD7ZeKNhjP8QOdb4tHPp+glgL6Ox90mL2wGfdithzNYFfAyb/QCD3HyDJPXDw+ohIAdycVPajyl6buQBuAEwWOYqCv1Mge+sjDSxASntj5Rxg8FUTpo/Se1gFyCKYkobDaJlqbPnaDy2OWeDis5mbm5aLq2iG4GrRW/EHAC7WkDbYhhA01aigjJVq74nyDdPpYvakTbGX9KjGalyS6O/SuVBSHrhxrt6rVS4eWJhTs2S3XBvaY4ogFGJVGTXHbAHR9FQNLWFPaCTSA5owBkZtykioXYreVXGvO1JraKeJCsYAFXQByFaRHKETQYZG5d+LD95HUC46HES8hnoswLHEgQFPloW91k49jMpf5ibbjymKEF3pMfVDVoH0TFVXAGj31gxkqFn6eOFgdRNO0tppnIHclAyoKWjb92oWpBPXXTLQPChdbwNlqYp8rfz+nfT1WOsB7eq9TS78wDXLS8PpO5dVl5uAyfv5bl5DMOT9tREE2TU2URtKz0RyDEhcLCytEmjZTeXfA2lXHvYeOr+OjYrpgSKaTYXYVmtApXJxjP4QYf+6MlhRYV8jx1LY/FSr0uerryv3HntB+8Hlh1sEQEGrt2te96GAo50e3Br7+ZraOKdEH+cK0QqgNlalTXwsLf0eOPNVesDjVEgL+GPvTSkCMvoyQzizo3+9wKXRywnU04H3t9qhfATkjnsw/ILfV8602dqG3u/N7s+fyVDNmKhOnp82yJzRbGzTfuqBlwvKuCCMi3mmZq0Fdq2hKF8VuEpkJWoUa9oNMFmfu9QJ+ykhbwwEyIzpByLQ5+kBuAmKYAUz2Xg7Me98ZuAMS2RJG+v0LwbDgmxF06AAr0NgXQRNE2orfB5T7nvX9mu+7lY05HzyGAu9VRbe9gapuReSPPmujvbKcE+CsijwkcHiHOvuwTFtrCyK6bGGD6qDvaSlIl+28OEAkK5kyOiUKWRjCSIZHS0C5Dblm38LpGrOfK6DkwhflRLVj/1HjfYJjL3nCp8jHOis+eqgzo3JS/Xz2lhSVUmFVoSQUAjhZKKLsjcydHzGubdFlAIMInWa+f60dvZUXhqO7/hZ1zdm81YElNb789zvlmf2+qdNMX8a6OBAJDVI3RbKU7VYpCDthhQ+I1g2vrfGvlBdelDnccb6CtheaSQUfCN/fzdhnrwArsrsgXpaBcffdoHElj3AdZqtsk/+m1dEGO+KUWzNBrz3E+DeVcZOqSrSU6Mtug17Qifei52QN9qrCpC3EiAH7acnEMl6I90WWqFoTqpqiUF/jmlzFLrrAKyvCraz4PCh4fDdCi2J92L7BmbTXhhKS70p3uZLxcHpx2NxSvr+5J5vcCZZ0GMNIdvvCrxnmSh+smkTBdcv79FsIgMEuLxNEE283vc7mUxHiSQYIigXo2gOxY40syUrf1ypPRL7pjMWZAfWNxKtJdMj19P1FHy/7meyH+MeoUwIz7OtCX1j9Ga+OkEOBdsXZ6yvXUPEf849ffjQMD0prp8S0pZvah++34+/TcBv73Gwfmvqm9AutgfB9sDrvf6EBYjj7xIO33ehrP1Osb4hl3x6KsDWn1M9Kpa3VDG/fnFAUMoNINnO90ywDIlc7zm/ejtJFG6P3/Oazr+rmB53fPjTAz79M+DynLGdf4K0K86/VBy/PWF9ANa3anmHjSu6Mi55fC24/KRh+ihEoydg+Uf8nvkj4+NyVZx/W9FK7xMe98R0sfjQUpP1PoUekReb61Ei9i8WCz9/kzhC6BP3yvzItrvnnxSsryzGs0kC9Bs8N69vBftdT6Q5WorOpq5EtPcjH+r0pGiLxT2ZqtIPf9uwnQXPPyWa7QXl2GdXCd2jNtGXrK/7nnN2Snkydmxl8s2iLlD7OOjf+/qjk1wtJWhz3Rn0HgMfb+MzZUcuuNoG9v6ulFLIlo/0WFkHNaSqyA0MBA+FgZ/1BogZsAibomHqaYAn1zZ2x2YWetWKC9zgkv19o8MOKyI00Ufnjs5VLQexCq/w3VTSPeBMsKo1mAxUjYRL1p0Hs1FY3JG60qWoqzRLP0gVELDyl1ceAKw+SRyAjmblTZEWxfS4Q2pDuuy46b/zw2ao6rcDRzU5esEKrgcHV8i6ETGaO/oOVQZHlVTcZMnmODsYCUivJmznZGJd6LSfhpi36yINrkwNAHJmdb4Z7WtE6wNVjaBXhmqtBUMXU1wuqSfnVplLrUEvF8jhwHEtGKLrSpTa6ZdpaxzmrnTsqVI234PQKOY4+mKFlrS1SOLQGp+5U+ss+E+m+oixVweW1FwZlInmqMANuxHeKzaOmsBJomKnWW+SXNJFlb28UcShiadVYoZxKAIPjIhIdKP3iUF/XzMbheNXl+QWDW1g72hlQhQBVFPI0oA5o1m1NVnCIWdDl/w6FRGElUsLwSqnGOZrjSA9Ptv2JP/bx/XoVEjtre02KU8UxnMKZ4iubHxOWqky7j+jzRU0o2D7fN16IC0zLaSXVUtou6o6qYGaXeTB38+En5VQUuM1kzLlPi72y8rATSYbV5U4BgbJ9qY/jmDGjM6OycrNvPKSgDIIqmF4/ht9mbefxBIYitWLhDr4F3R2iiWJo9qyekHREJlUU9x7KwwEphhvxINzO6VhXihbG8QQ3Tb3+aORQIkwtrP6F4sW6H2uW7dtgOdUU4FY4p6scp2WGtfu/il8vBd6qkJaBRKR3hEtTKrQZsXabOiv3/+qmJx+bOelo7xaLOlbFeXq41pIj83Wg5gs2dMpAwej9W8Vcl0gOqPlCYKBAmzIUxRXLECPApa7b1/DYZv7NY5sIH8/zN7TWqMVo/cgItoSuv1Zr6s6NVRjTAxWIBvrwHu3Aq0rgqYZUhUFdq82rgzJ5p4P80ORyTRwdXw/b8sz13M7TVGU12bnSulnDQCjJTaktWH6tPEssP3rMzd9b8uuyNsOnxDQ0US7Z6M0lktDWkmldVqiox2eCG4PHKXG+CN1tlCyYv3djpozsgnjtYkFnvkjhcoIBiD6+UZ0v00J7a6YqJVPQmB85T7K7QWikN3o4mtFvpp4krUGuW8DMlTon6f3S9iHJ0zeo8eRTURu2T6FoUhL4cP5sfXpDQAp1Beuq1RTLZ4pbDU/AvmyoR0LNJdgwgCALF6s5SgcoBd38tIipht7qEmHzTY2hTEA3IZvAB6gST/LVKw4O5tg3wlG4+R3+KSOvArmD3z/dvLWM2NCmZp8FE9ggEED0mXv567HFfZKFVjOLIpMnwTzJ0W1RDR6c8EYfXtd+T0rkeU68365zhY/Jxao6rFASsL6uuD6Jt8UmwJoelKcfn1FXmZAWNTYHoZzpBGMOn3XbooM3DcKgEmnPij07Qptgvx3Bxy/azHLth0Ect6BJtDsHwwgmcDZPf/JaefZivX1KJHgeW/sKGjWslDZ10TmDt8tyI8L9F8csH6zU/fnmFCeE97+54rjdyu+/Z+fcPmpteeZNsj82DhecM7AmxV7nS2uA5YvSfsVTUgrabrHX36CzgVtumPCaP6GLVi0y3yhH0tfz9jO0s9mYXIKsGBQrorrFwnraxht2WI5Q7Xxk4L9ZG2MRsOfLjz3LqdEPzODheCNc4+z+WOx+dCOXOcrKHi7CuQAHD4o7v/mgstPj/j4LxLHPvnes/PMGRuxZzJbKqIQMZHpcqoAFj4j74NPm7IF7g94/dFJruxU8Aw6kVHg0tagkkypjAvVrGLgw6YDGjdKoVM4GJ2AvQnen5alB5lADyLs8FefkVaGpEY94KKz8l4YD6Q6/UGR1sQEQBoFKYpS+tuDOa+gW7JS7L40A6omxLGz0uxodLwSuAldHbUBwRuK30nxNGRvna7sFNsGqPH1kyKSRqr2ItaCQ93bTSLgvSqRjItwVuWAGrqyrNNIBYieh3zZIJeVKI8/g5KhjckiktDHWv/rmBsG+pC7+iTvkWrOPjvxhhJelbmkBW/SFMnsKw7FyQZap44OB7U8ArGhN8xoTm1OaOcpKrJwBFSVo1mKoXV7hQw9XDfJGSzAzv0AbLk7b2cq+Nw+F8/oqDy/k5RS7QeUo23JEuosIMpf0WX7LRBYu42P6I4m7QHW7AUSS1AFTMzBgAiZRYXe38LD1PudvI9b3KlUDwx6r1Gshxg9/AdeY3DU/1GjYIDmKKMp19p6sNLuyIGGTeelJwo31XkvpnggYIWTEWFxSrR4gcEDAksCo+hQhoR2r/z73noiMtLKLZ9z0RK/luzoVSQu7SbhRqUSethT8V5kCiwwuOd1tML+qqAyZTIXiHB0W2NraYPY+yKpL3Yde4asG3TdSKNLiUmMAQGybsBZYia5v7iOFmR5T50huV79LaPCr/dXF3uumQUOUSBms3riW8bvGWwGFDFKWY2uPhyMXhRDvyb37ZzJTvv2yrHsFAViD7qdMfvwnWqH/XNX18wufgfafX7ew368rQJ1KBhx6e0NGntYbe52G4s4bgfWoqJ2DvnMZu/FCxEV7YmoKkKoz9ch23mQNhPHa0q00vZYtOd4r3dVwIq3AAs20hoSClrKGItt7TjZfjLkM0nMcneGhLcQeSEPsOeUJBgLodqcGZxq6gUbD9SoJWHPfulFGT53INXU4wTxRNw0JKyIvd/PNsZq7UW2ZLC9v/ZqyWUKO+TIj2LXIoGYAPxvjNVYWIQpiz8vkL5rCCkATE87pkfcnHltsPMQrbOWHGcq7ccEPfMI8IkVnpB48CcVyM+8/3p0/9FvTa6ZQlbW75Ev0gNR63GVZ0RgH3oYW2N4omJsrwZNwPRYqRkAoN4frEi+0W87Q8YZA+57E/i8E/eLz/FshxKFe567sGfX4wM/15rpL4xABVkAAKz1Q/17VSHK5LpcWXmbPlXIstHslwlSh/FOvk9A/Re35Z4smk0euLDJ9VWCTQcb00SGAUlCdm3mj3wP+LntPor/zn5PfjH/s50Fl28muBDP+DOqsveY1/caZ6s3iNlzzEP3l/b/tgxsd2L3jygeOzU+P2VLDg3tPXqhQyKmYbExY7vjDVKLxmLFZvGpiT1uZwF+dsR2ZkLqBZu0EjmuMwkWmoCWev+ri0a2yUAoW0vJistPFdtDshE4/Cx8YI9uskkn0ydBWnIIlhG5Bbx/tTwjYgdHEaHAloTHv/mWehBcCwun+TLj0JSJ+y8mpArMHxi7Xl8nLA9H1COojqwYlKptLz0D+28OyBeJ1k3vS54/KM7fVswfySxrJQWT5PRdw/yRPf31mKA22zn2zcY4eLszZuoJwWYEeH7OHwj6nb+14voxR5/r9IQQdfPnCVhf8XtFmwXZUFtPMDmCUjE9CQ4f6aM82S4XRGvZ0z8+YnllOhS7iZPZCFfvV77RbgCYPO+AetF5p99i+xmikFInQRvaQ37f6x9EeAqgs3YKCMAhwlBz1JZkpkyhgeP7FgJNI8oGIPo62Ndp/WVWAa53E7yC7iqWnqTlhcIRxeideaETazMrom0C1rMEPRDgRgo6kNBp7RMdnc6KXdXmW5rTNfrA/IEUAwgisTl8oAR2edqRrzvalNEOvSdIrY/lJnBUhSzsq/AgEGDAAQskaAwWcBQLmFx0AGzW94AjVauWfjBZvAElIvRv95YE7WgUtt0RZbD6XRVYVhrTsiPlBLmuwOXKebSHCa5yKTKTwjaZCubY3+iI51KJuucEhcRzzkuL3tGRSurXJFWw32Vs93ZvluzsRzPwGTZuxMQ33Gk4cqoAINAnZRCZAVVScFqZAiUGPJARlLlADjMD8HUD2iAvOM4aFemjIyxZ9jlvIXLUPGkEyqKRzLPCnUgXVBYTPLmSvfLfVCHCREPE6LxXVk/bxD2QLw0Zvn9YgdchOKNohlGalVXiptrpaccGmSt7OY1mmG1Gm3sdl5r3Xg1PYEghB7NmS/hgyXXcz/hfX7/EvY3aAknRJtHLzd8zG6kKKaS8A4ALoPn8VU8KNSds92ST5KVX5cMMvV/JqcoeSO2NCV1tpCI7hdbG7ujk1HtjWOTERDwLNI1VnO5ox6Q/W1DoxRDZG7LPSLbgWZpCVu5rH6NTj8kSWqKTHIaOkPfXxOQEAIPUysN9/mCjl3ZWdDQJ5JCs8MbEXYyFkdeNlOWmkEKRB5+vp88X4A1ivE/0HxlS5yiQNB6QUnvQV8w2pqeK8rRxTa29gf+fPoaJku0BC8xCSd/F9yyR5QB5hTM16jFhu0uRbHC2pxUyjanQJgVeb5DcoGsmJf6abPyUBGMhW5Lek1xW7lPlyIhOGxXka0V5f0X0/tv6+9/VfbcVTUIVW2j7FJ4ypOjiNHnuf80JxYVx1mqsAhYZ2mSjR9QLw9qD8aHQUhbSlp1GCitAuu3x4oS2LrbnXLhMlcJlu+1DGzOEvUGyYH2YUA+C+cOO/GEhMnbwJLfvM7EAN8ZHHcjI2Y+5JzaGTjlK6WfzfqI4GMWU+LwZfIkFOUCy4tYNYtyIwNLumWXu9zz3zntD+WhKKlNhld3ft+9oOaGeUvR0t1lweZuZqAD9HLFaitv9/EEpLnRpUVxwoTUvxk3vrkjvH6HnI/Y3Jz7LQxcYykuNArW3OQHA8k3C+kpw/E5x/91mir1cR0+00woc3nM03fUnO4uV7o4uGeWTFwLsej8hFK/9PJo/WRHK0M1yrUjLjoaCVFhVEUN18uOKtGzYX5+wfjEjLQ2H59XUxjUCTxZVEOinF+zKxVDeIuzb9EQYY4LbMKrN84d2D6apQNEdjhkrtn80dbTRX/PHHYfvFeXjFfLpGdgPmI708WQm9GS2HQrWN0xyy1MNsUdRQEvG+kCUcrYCarl2v14PVgzaFEkbn5O3flhs4IJsberFSYAJnqNb5Zk+aX0jWL6gGFR5toTC/e4E7LAYe/cEhyyCtO7AunH8YM69HSj2CNe0zcBq803nD75X6VfKo2Ce2Dva3ja0xBFMy5rRstmnss1MC7C8ZXJVngexPHVb5ncurxOef2pJZmH8cPyWdlhPgnpW1Iv5gZPRWovi9DtBeeLonP2s7BEGkLLi8C8+YsoVH//yDV79RUK5AMdfs3g6PTFWnh7JBvBzgagtoIXx/OEdx1btd9KLSIIQ1aOmhxWWHwCo2LjAGcfvKw7vqq2/oh4Svv03E65fKeb3wPk3FL66fsX7nD8wUTt8rxyjacrEmhlvYQXOv624/y/vzTAo4Pv8U8F+p7j7jeL0y0esX57x/NMJMgv1GmwKSdGG5XXG+prIZz0re5/f0V/Mj4rDRwrXnv/6A3TK+PDfvMbymjZ3/E7DXpsVXjQBx+8bDh8b449D97uaWHCpR8a3d79asd0VXL7kCKHD94rpori+SXj/L41tmEzs9j2TYG8VhRVeScn3uMyYKw02bpEId7kyv0prw/p6wvZ1Rvfmv//1x9OVvQdv6E+M6rMHSHVAs4zu6AkuD2Y7vLUfEuOIBq8I34xteHkd/l072BPlv6c9SEsu9e4Fbg9W4MGMva8KQvGv+bUiDjuvagF2j7U74kCKdAhInMrpT8UpqC8pnh7otQbUZGi4MOnbKlJOSNnWYUSSYAFQQ1SWHW0QDCNZ7HocyY4+Qf+chrgWr9wHbdOCNo5SSTcHBYQFCUGnEQWK6vYwJIT+XF4muN5ro0g3aLBfjwpiJmmbBgquzf8T6b0UsEowZz36dYnZigu+DGjESwEipybHBWj/N3GhNIlDLNDO1r/f7cQDgRtKjtwi27HmP/RqXBWX7Y89Fg9fOsKjRq2Xnpi4MBPUkF5LlJzK6iO2vE8wGABbr/i6+uWNyMeuN8JNMYrnxX199gobsCC/MUlGHWyhNRuf1OIZOSWNPa7cB1qotEfVQ5tzO+6NIcG9+bs/Tw8IDI36UeExR5xB9J2jZkh7jUAvSS9i+RpYcP8S5XZxNrXYXMQFR+iXXGApxCEmVk/hfgqsmDbhoaaFeY33LpKSa7Y/+tmmCNE1bZ8/r2Sj24a2hQhIlb5Qnfqf3K93lL+PNxttAvBRUZ8/f/F6VHwH7C38Phbh4KwJtz+Pq9yXjX8XGGMh3QbM9hGw+4iiWPOg0Q5WL+KoAjrs04SbsQXRciD5M391c39Ne2FiWGoZ/in2c/hChYrt+VGcClxLV+L3FocQuhnsXUXCtsZXjO+pCG0AuNDajS3g8/0wsFdiXeGFKPNztcHpv0mt2Db+vv9JZucW9GhhoNZmte8QSGIS1DKAiUjDKJokVanSasXb+JrR3mJNevCghaFP2gY/LgxIGxB9t37Nt/68+8RgDrXbNdYpQ8/H0KkA+n27DXaxPdysabAZ4ux8UWzy9yiIniXg5nCR/vPYL5/9MZ9g/Y9cgwEFVCsCD0ht7D9F7A+pdga4OJid6bAiXtx7GlBPvz6/13CGN0t4ww4kWnqLrsft2mdGPGdrqylBz0cWdrxH2K7DGYfBHIwP8+LpgLwqfvxcsPV2VDrtfZSQ27daIO890G26tS/NdjxJ/z5N1KtJMLvZffGZCHrLFjT14rKfZ7Vfa97VxnrZ/RQdik2uzm0FJusRlkUisd7uEDoFwZzyM8ta97xVpsfu/uwlbD5sys+LXSCGsm73EgBB8tGHVqDxEVp1zaitYU0FtSSkhe0aUEEeshjNAlndb3ZUOF9tDxnbQhqLpGqoNfye/HPsd/Kli6u1yYrGqzFcpt5r2uNeGBW997JHO1wFGhQyFEmDxbHt0NOM+vqE/X5CufK5aALq3WxiWIIEo4Tbd7lC+/zJAKCTdnsrCJYXFGh3B7SS+v26/RkDSkufkzs9GvK+9rnrznDxMXWage2umF6H2dMdAaj9vhcrvVAznsX+jKvtAz7P3qrgzyBYPhOLne5bTGD7D3r98UiuqRTWKSElC7isp6xXLdEN3PudBgeY1oZyqf2AVURFWrOgHSdIbciP7DQOKp3THQe6ND8H1tPWqUCehPimbBlYH6wfIgP1obGXaxMqRRtEX57FaAn9cIkkpjptVCPJ5A3ZMPVmIycWIkYC0MnOBe00WV9fBWqDHgo0JUit0U9UvN/reQFqhSwHpIUiX/VcggYDWBVyqXREUzL6BvtvPfjXwp5a9kYOzj55wGBZ+GwqGIaWa8lAPgIAactATz7OlI/vhQq10TBAfTVzBJC/zDFAqKiclxoBplQTDGlAfTjwOxuiD6SZsS9vejM8n6UNk4+TH1Gg4AB6iREKtKu+SfPKw3P6VKnuvFUiuF4NHQV5dEAPxZ2Xoe0FmC4NZenJlfcYk9b5Ivj35B8JAgssc+oUWQDBABCJQki6ct21JOzncqNAziBIgWHuIIWjrEfUVQIPCp0a0lyRsqLtgvIxWQHInOLC/86flH2fGO7JDrK8NBQbNRHBjvW2jv3FTB7R++48EG1KZCUlSMlABaTuGJMuH53CZ6o3AXwypWukBNkO8FE6UvmZcAqb9X1Gq8CmpooI6Dzxd9YNspKSrK7IGomNF3casC/28wPvyahIsu6QdUc7zthfH/qaKNB8dIwX+JtCFpeG5Zgr2VvQQOtMCud+drYCKYl1Bva3htr4Ej4WlCcmuKRHCfYjAElxcKWNSUb0wTRFeZc5UsVVlcc5ucc5fEQ9ZOynFEERYOMxrrCWATvQDSXKSwvfHtTcjX48XakB4H2ZTqOmBgDXXNT6h5sll4Z0p70RNZkYJJerU2Yl0Kq8ApuanTVB+kihGczNihJqdD9FebLB9M8abAtR+oNy6ehUCMf4Mh1oL1GMWYwOe0BvpfFCZR38EUBBLtdaeJl8CdkIRKdNHKpxbdWKL1EwzIJ8qUgXjvlpx8Kk97rdMBUcWRNViPfsDcUFP49k3RCUfGfj+OVNLHiQHmfB5rEAeRAvctqyK4evNYQi03Un+vZwQD2SUjKqxjrKUo+03/3IBLedh3PMg94mMYeRVFoYmiFQQ2247tbXupHGyfe2z5g59Ys75KaYPu7Y7wrWB6Llx/fcC9e3GbuNsnGK8PxRo6AdbU+2p1O0onCdrl8d0X5+Qr4qpo9rf+bSMzzGRtwDHiynDZge+cy3O/ZZ7wcZCkoMYPVkgfNVjAnSogDWMhXXPYYZE8q8DUycIYlvc0K9mzqjoinS8xZ7Vqc5GHIcLVjJPlp3ZAB7YY+i7FxTqY2z3BN1BraHwjjvkb3LN/Pq/TWCDsLROm1OgLMDfM8bOwnW6+yF32ZnoSaBZM5m1a9PGF9+Xo6F7bG9TAtbpOop9Xmk+vn74SCAdKQr7fRX+zljPaVAvFomculsnP1scYExE/Z7HRBr2kibAWnCrg5LnkVh+jXsw26Zz3P6WIBMtojOBW0o5szvKnJp2D8xdlq+ROjjVAiuXyrqff/9dEk4/Yafv90DyxfA3d8Jzr/bUWfB8or75PCei7KfmSDnBZgWvwcNf0pGIs+xtJEhkxfF4QODlnoCPv5zxkjHbyUmprTCzzx8z2e+mQq5thkVwN0vBcd3lSOKdom1VhvTkxf2y59+feG4x3LCdk/fsZ2FIk+/4/ufv04xKSCSVSFN9uFvqlGnBdt9Mto9GZSXr3IIP02frEBWiMKffuv3Ib0wAK5BuWog+y3bem071p+/wfd/foBU4NVfV+SVKO33f36OJDJtgrwakruQpfXwNzte/08Vl58e8dv/NlkvNbCpocjXinpMeP+v7qKtzmOymnoiWY/A88+pnJy2guk54fhux/FviQAv39xhv8sozwnTgUySd/+K52ydmSQ//7xC7yqwCWRPkEUwfeJkELZYIYpHzdgMaQce/orx5vogRJMLUAuCvryvmZo0F9rh+lqwb39YlvvHJ7kAg0fvy8x+MAwIgB3YQUEasvqoLNZ2Uw3tSbA5E+8tswMh1PviDYJAY/yQHnMG1eCdq4A00LFikMzCWwpaz63Ijt2D2iWl7ii7HLneOG1HcaNKDvBwMWXHH0S9Gmwd7CBpIIJUG8WPtp78qN+DU1euOynRHnjwY7hu2w5BsdEewkDtJfrQ6JRG6igMFYr1HVQrb/47fMaI8kYvrq9b7gdRvN+fr73vBuEcnqUaVbJGpZ8bi9VJv2EYW0CQTDAnnrXC+ryZv0YPpVepx+uRFxVeNYQwaLegrZu9B6VqsMmoljuK+2Kpbl4vkOMfGrHi1ecb1MAS3Je/L4qO6g7og4/Z8qWVJrFegeBWRM/fSxSJxR57VqNwmSOd1RKX9vtuFn2dx/Vu7cW96a36NNAD+co+JEiDLIU9pz7mSobP9X8bUCmpzdgNvnjKvTUiGTc3LYFyOVVU/X1A7PEQchO+R6FxwIkJdmDHbXAnt3+Pqmrqh4FX4DGRXhwvmx1NdL5XU5uhwQzCFc0E0pxVw+8b1vom0ExGY0Xfp8PeSOa7bwSkXqK4vq8cqXLfWJUnjqMnhuS3Yc3F13b4e5jMCxbIS5TgBrnauC5O8/S1NbNC9I++ZBQZW8ivOx6RMVMEwqS5ORo0oF3j66Vvr87AwQ+/bEkCjXWbbcpCmPt77+Ef/ab7+XE/xibX2z7z0fbGzxnWOxJlRxCtpQhAFEdHRBYiENHu5724BQBGJ3ZU/ObSpNt6yxr264UcdTp3YtCjZr+SPF81NkcDGgSSgRSFtR95JvZqU2a7h7OHsp2J5u+kDdfrfnHzeEVfnA0IRgsFz7jXt1MCtGH6ERQwnlvoKHhvsbWcGH0y+lLHsyR8mdBPKv2NGWsY1AsQf/hyfwYyPAuJew07qApMcttP7rHaC4Rck7G5qmkP7A2SJGj6zsaTqmheWbfvih5de05RC/A/jsBV3tvoVyJWbApJnXmhxWf3mv2qBsLqfleashjiSzaws0ZmgK9PJLgv1lLtgt023LY5t7gnOprYTiG7INnDaRnQSYfRZuixq/u6OBckaPNtMmTbr8d8xNh6npoChsS5tgyfFa+7HRR6rMCeIgZwO2dhkIWpYC8ojw5H3FgI6r417PrFsxvbQqCM0fIKG62jLEzuLmzUbTGZgm5a6M/TLgEcJEMTxfbQGMcFyLBVpMx+0GpodDAzrFjVcxB0O0i0temRLQnL2xLCj7BiSz1Yz63dT9di4dxtAFgtYfNn6Wew+Pf69SS2pWx3nA9dLg35WnH5smB76DGcNoWP7ElQK4xWlI9XlIeJKtZZDWk2WzKGo+sfjHbrtuBxRpsbMLeOcDflxJF5grQ7BFvUio/7qa9XKwo9VxzuF6zXCfos3I/N9i/67/r4My08S9MOlKWZBs+wB4TXIdErLf0zBpv7fa8/Xnjq4S6QS4pUZMvSexLmKKcbsVfLY8TEWjvlxEYRNWvqn95dkD4+Q48z2v2RPUrHwrEno0iHBSBeWe4N/4MhNi7M8kpC0S6EpD7kCOwAM0RTs9vvrBH7Yxcj8WDE6W15qSYA0G6DmwTooXCjG9IlzUYHiaAdCbHRWbMai2KUwWS0meM5Am2pPDzKpwVBrRFBsplpaHJDIaV6booE16mccVAPgYlOhZ9hszIDkRuS9HCouURS4BL8/XDhM2hG3QyFQg+MklXGpISMv+Rk6syICq0f6E2ssX3yijYpO9yIinZXSQfc081maqbaKKlvmLQJWogoeCEjoUyC8n5CdrGWveJmfmiZSSe5n/FyduNINyOl2IK06Ce1hHGthl63QLv5jIZ1coG1IRhtU6FjLYmIyFDgCWqbKZSPFCnvd3OEQBMwfcymKk5VU1ksgBwcfYiT1L4X+vzOnui1uSCtO0VIXIV1tH2Rjow6Su0BtyNUaCEA5EImOpWwRWcOoGQWGGydxMY8xSvaJvi93gogi6PLMxS2xyeLmLe9B0hl6MG1ax8TCS/+qNup0TFVQMTLULVWeAhiGrag/d5+ykMilcI+tBB1UxuZU3iCoW6C9toDJR7kIoZ2Knr/qUrsq/0oPdFNZC3U2algJuBUUrQhfCYW5kwB69l38Rlxf+6Jn6FCRFEZJHqCm7bBv/m8XPdvG8LutST6uFD0tSTDRFa0CfCKPfL8HXT2igcHg28pF+D4rSEHJw/OjLLtwdE+3K92P+gBnPfOp9Vs2YJGWU1xWgTtRMQrrYXtOm5/8CAct7YDQIoa1VeCIuw95WlrOP7mmQyFhciq5hzK9um63+wrnTLqq2PsBaiy97mmPsarAVQuH/bjwE7QSeL8ANDPLRHOKE+gf08C2RrysG71TFVVwGacm+BTywkpK/2XnR8dwVDUgfru89PTTkIHBGhHsqmCz2rCYfWOeyStgukT398OMCq/BCvHmV+aMtKeUT6tPMtKhr55gNYZ+A3ifvVo+9mCJc2C9ZX3VttYDAv2fP+EwJqN1NvPGXltmK572KkIx4e4OCDHLlnM4H2s1VBtS1yiWF1JvXa0U8X9h8S5ORZuQkPBnq3sXCdnzTml1CmxmqXHSwpqlIBjOvLzHucY0AWZYn/ujf3kWw07ivYdG/8ou6nkD8XKfNkpFqh2H5OwGG9Jr1aqz9YTz+/peSci/LhjeoaxSoggTk97FIBijubsCPJ6Q9nPTxLxTsSVxu7z5NqZZCrgmCETLp0eFW3i6B8+Z1PTvbRAlbXwnqQyuSeTJgf1lmtntM+FyCDZOnwe24PFCcUF8hJni8L8lTEWOC8cHRUsvRhRZ8HpVLqeS62dkQfg+esJ2cWzNsX8vieyUOD+bxJU5ij41RlYX/NsSbsgfWCP6fd/XlCegeN33O8eB68PBe0AAxusn/W3/PkyUd04X633U4H1IQEPvLbpkSzP6WOCU1DrLDGTNqaXrMDhewBJsJ2577dXgsdMJHV74Bodv6U+hFNsn78q+O5fv+koeSMCPT0ptjvBhz9lQlWelGJUXpC2WIhCS7zuZmJHem+ikJb4+zQHycDhneL0rpKZYYl6s2RNrD2mzcD1ldi+4Jif65uM9m++QcuC+7/nefv8NRXBl7cSlHHvZ13vEUKMehWsrwvqPzlBM3D/C8bFy2vazPNPBJevCg7vFW/+YkHLgnf/6oD1FT8vX/3MJiBy9wsis+XJhMfu2HbRjjOuXxZsZ6Kyh3e9sL6fgcvPGtqhQZ4z1sc7jgcaRrgy1oQpW9P2ZQfmd4z5H38OPP2jgvk9bWx5nbC8GYoaRm2vx4y0K86/VtRtONt+z+uP78mdZ6MvKVUUYzyPDM4EkbAwgB5U+eDBkYbDdKqcCjBvFfruPeTNa7S3Z6gJccD8a9oRlbWxL6NXAYxOYkkuhD0A9YT4NzoTO0Tm3rMqjZ/p6oZ+raR19gX2/kTSurQHE14lzRzlgZYQVDGvGB4nXr8JUPH3PaBmoutJfbpy9qG0BrEgLOYTD9X5EaEWRx8L4GIo/KH/7oC8ZmahQV2bGYR21Kz37ehUqKYMwMdo+MEWaqkeiLqtpP73NgnZwJJIiUpCwRMLdINOZAlks15crjeiN0czIIcKSYrmvN0MomgWoCoQyZ5aDsKgwjbpkVVlDrhPQ4Dak1wpGToXsz3pFXYA0Z8rsGZ565s1UY9OXdYIQsdA4Wb8QDKBGqCrqVowXA8pRDbG3muv5rp6uB+GdZaYv+iz0PKzIdy1j2uJfnS1iuGgBu3IRR/l1IPhSPK3vSe4L+1fBN4H5SbhyazvHRviEXYHt62NVGLaMhH5PoJFop/WBawiwbV/g5IG5BRTH1lGpeTavw9AiGJh+DvQFZhLiSTFqc8+NkmnjDblCAYhHX1xRFynRNrwzkDLx0/4vTExtX5aUKSPc0A9EP4Bh272H5V7CxRgn+diegzSKbrBZDhhFEjSsTDhqIrPTl6b3UsK9or9YrQ7OEoS7AGbQaw5h4/A6OtbNdGpzJE1NjNVrJCCoQ2D14pekf6RCi5VOW1+3oHXrw39XHEkosd/nd3h5trQ2y72PgZN1YqIiyVMqRc7ZO2FLADdZ9QXZwEA2fNN+wHAfS3XHfnDE9fe2QQJ/NnuBbEWs1/19Zmihg28RtheSOgJrip7p1+gvl701CkD5mtUYGJ/2in/ys9T98PS6dZaBOudWCAIFqmSIYnB4JJ+Ng12E8yGakhE7dRntfF98UqWBGhDTWKGPqCc7v8t0YsZj7aPNAnbqQ4T2nFGe4FYx3xqjx8SYhZuWRR5V7RqSbjHClbUSUtDO5goWJUbZos/N1cMblMKxL0jwb4e/RzphSLGTjeFTHFxp9tzNEYaDjacNomgPpItQSBKDOR7f2v0Nq97j8EEFJ/L/azLOyiU6UlUsKDk5oxw/+dARqo1knoXtHPlZTEWQJsk5tyXC/dINhG2dpxQHyZ+1ieeNW0uIYCpyXq3r9utyJrvmZKhh8na53Iv1Pua1UZ/VJhMl+dmYn0JySil1ZSN82pn1sg+se9sc+otFOZX3F+5Ung+WuExA+3UuvOB2b8CqsLRMrsAFwDNzvQZL17CQmfpBVMXA/PX+kowK4KJWJ7dTni2T+80WghTVVy+yHj+GaCT4vAdRVe3B2C5b5i/T7j7FdtF0qZm05znCuut9yEUVA8n2pmvFEBqGVjeMG4oTxxxgwsTz/0ouHwjXUAw2XHuCv5X7lcK1qlNH2Bsvr1qSIvg7u+Bw8cWjJLtXvD4PyM9/vCriTPWN2D+VLHeF1y/Ino+f0DMZddsa7FZEbcOfssotPvRi1J0UWo1vfmx4fjbBfVUcP1yCrCh9+Qq9kx6N5SJYl5J+d7uM6ZHxem7inoQfPp5QT2ZCvWBG9X9RD1IjNcRBZYHitVNz4q7X7HVYzsX7HdAu9M+fuuXH7kX/vUB+z1jC/eZUgGYcjhA/+pFRPrPgu0uxcih6YkxCXvMBe2uQg4V6bczylOKyRytEK2PHmtTTK+nhvyUUJ7598tPG9pJUZ4z5qfGPt8J1ByxAqOr4csOHD9UbL7X/yuvPx7JXRbUY8HydoIrb/kmAvpmT5uayANYsVNW5bxvxqt/aa0daQQYPB2PQGJg2BQoUqMKSFXEBDVkqqsQ0mCpDobulMxY1c5M7+9wKkU2WkTIoSuDfldg9AS3jzZgkBcJdgNuT2phsggg7w3SNgohWLU7P1l/4AuaCcDvU6cqJ1a7dMqGBNT+OwLEqAoRBkVxcFuvGwxR2apdnQVMji54QDgGAtvOhvgkt6iZB2G+pj9CTfUgJOhtlnhpMuCtMeGKxHfoL84LVV/zlbOB5482T/noPR6CanTybZ7QsiXECqSrjU2ofeaiU85d+Ewz0E6IsVakwWcEhRVAaNcD0I09cPud99715CSoTBZ8aMlWhbR+xJUIf7IxHYGSeyKmQ89oJCwWSNszjHEcvp7DzD8VOt7trld6Veik2KNoB67Tqy3IdLEpaV1x1mk8FFhgz9iIbAVVLagjAswT7fSydFvwpNESTKcF8meJtOmXdEJfEwAYZjOHXe6VY2+8qONqsIbwyjYkrSMSqwosK5IpJ79Un+zB2o9cU0o8HHK6ea8LNLU52x+qtY52EaOjxIJvoxQ6Pc/3UKoKpE4PT0bP4Vgb9rfsqXQ7B5CuCXn1PiZ7fh74W4DLkSz+jF8mEUSd5KYSpTyk32SUhYee3w+T6I7Oxb5S85d+zzn1BNfaWDypiq/JHY0KdFYTe62b9kPtkLofsSSkDcUuAJ3WmRGiGmm1ZABkfXhvfiBczh4Q/v+8qQmZ9H8no6TZGdDY9+ZotrM8vH3B7exFchv0dmfiGMsAAPsZzc71OCPYBXvXZbjp5TQ2hGwV+QlduBBgMUBJz4te9WLR14jWt9v94Sr93SYQjAdSjiWWxG18P/ae7+0uYT8iitj5qpiGs4f/p9tLn2OtaBBTFRbTyeD3tuJv6M9ZTEU8rZbITv223MZXdFRXN2PE5AzqPSxIut7caivJ5pYKtpP0vRHJSbfRKCgJgzr+As+ntDWi7kbNDhEwj0PMZrz3k6rKPiJM+u8lG8kyDYGn9KQ2aJypxytJhEe58pmkoYjjwXVetPsIs0kX0+x99IbcjsXL2OdKOlUWtFOB7AmpoZ9le+uhiwzP3pk1SQBpCBE7Ww9qkjQrkhf29Faem2mrHA2UbCzQ42b+pkVxB5KseClwsTZX7qctJ2BmMaqephswJF93yHVn3DSXG/Z5KwIcM1V571IkraTnJmiaMLJA3LZh/jBX5Rg1s5NI3HzEoKG1+syYLvQSdonnnmzSgSdbexG0w3iRvagHReiIaEnQ1v3sfgSKM9cOXc/EY611MX2CT1SWByg6BAhe/WXD8V3Fx39a8PgnNtrF9HbWe4nYeX5vzIEVwerYj4nI8Sfu8erjDCs32PPPrJf3SsVdTX1KRlp5360A1y8RY4HY5wukSsBjPxG1JPsPWF9bYW2Id+bfFEgVnH5ribKw314acPf3FgkfEEAYwBzABcTWVyZQtyvmTwi/50gvQHTawYR6YmFoeqrIhUmGMwq3mbTpV39N4SqPhWUHkj2fj//UZpqrhlgYGudbH7/n9XtMOz81lOfR/wPLG55R0xMT6O2eaLpUYP/yzp6vBhi53TnDyZJQZ8RYfL8fBctXJ/q3itBXYn+wYrrQT+QPGe1IH9gmOr9oRSkOlkgXHdv7eCBRhX5rayjA0zeZ47XsDF1f0U/e/6pi+rRhe5iwvsrYR1bW73n98Ujupyfsp4znr9LNRi9Xd7h0BGltmB531GPG9UuTbH+uyDYkXjNFeOR5teDFRCJqA05HJg5bRdrpAG/6F8tk87sE+0mC3hf0nskXG3FYULpaDZEBZBE6bkU8IB+U7iqzqTIY9ZmhMBTUe2Q0J+AF4qLekwIgP9toHqugp7VCPj5RBObVPWnNY0CyN3L3BwGeNiUeKAt6kmRroDb6gYUCiZFFvKcG7NoTAU86jhORZqdCG5Ljo4RQK+R0pEqhvy9ZYjEWNMbD0ZMgO9RcNCqS3KEvIG0SPTC7CTicKpC3hlQb0nNDW1I4nf3EYe/7iRWwupojyUA7kuNfniihXmdgs4rV/LFvUKhV5M7Ws1pN5fMwBOIiGJuWdV2BmeNLHP1x4NiLKh4ASWOVcnq0xNYSQw9cve8HTQJplEmg0r9bBYGCBfU+9/X0/hB3JPtJsD0gEgLaHiKI98Z/tX63tDEwcLseES2n2vlILKhGtdqDDFgVHgBF1HZLcl8miY7aGg1YjzOD9R/oSe/0747AOirUe9rN9trALnBK9LpBlo22l/NNkitPFybixwP0eLj93sLnLo7aDjRTp+RrybzuIVFzZLfNGfspox0E2zn1Yp94sqk9aIUlu+qBICIwTgoko6LJJMytL1yDPAukdWol4EUb6cWbCM55eORVOZrFZud5ldbnpf7gXOOm2B4yrl8klItizhJID2BVZGPuuICbBy7soxK0XSEWyGvh82sogewEeJGGAD8LtCoRZAvM28QAorrybpaobvs5AyCYHV59TiswPfJna2Is7LMgZUf0c3GPCPLWUJ4qXDiPH8o9mNdOz/R57bJVrp0qRnVu6kbU2z3g9leZ3HoAw4S2sRd8Kmh3tMn0YWcxZ6OA0831eDHnukGerraeLATpcWbycF0psjQVIvRewPG2kwFBpLjQIOboPt1ndDoF24pw9ZCw3afw4ZqAxdkqhgzmK6LIEnY6tDikFUBS1DkhqWJ6dnQMpODl7kt5Yf2/ees2TKqt2wUAE1+TyiA9J0NQnbWxbpC29MciwoT9nLCdE7YH7ru8DEXr8O/Sk00F0pygSVGeG8qFfq3NbEXIu6GJiihc15mBeVobUlPsh4ztnOLsiDglk4a5H2ECNQgE1n8v+gkHsS0AHI/VPGDv/y5KHzI9a19PQYgWHb9dkdaK/W7C9jBZMu/IrAazwUcY1nOx/vtGUTBVIrvNZpqXRJG4EIKy+dTG6ImYYXdBuo30eADpREG6tFDIT48F+11BedpRPl7j3GFRXlgIFUtOnHnVejHKR2jplJl8JHTtgOuO9P4T9DhDy5lFAtvz9cB2ie1EgRuACZI0YE0JcjaRuivHHskGqPVHoqoh/RXIgvLMtoPnbzL2Iz8rLYhAH6JxFo/MEvernsjqHWLUDfcUQviU+3dAtsck9wzUhfFcPQLra6Jv+wNbEmRj/HP8DcUnVYDDO37vF//jd2j/0y8g/8f/FZa3E/JqyNwkWN4m1AOpvuffMF6YHhs0A8urjO0A6y1VY8tJXHcD8PxPdvyjf/Ytfvf+HtdvT0AVZFN1zhcmvpevFes3O2Qh6ydtHH2UV8XlG47Y8f2gSXH9komusxjyFXj4a/7+8V1F2hRPPym4fpVweK94+59X7KeE9/+iYD/Sv/gEFlx4r+s9473Tu4ryobIYN1PZeX6/WsHmgP3E+9vus/1ss6LOjP1oIMSD4O6XDW//h2+hh4IP//oN1gdBvnLm9tNPMj79aUPaBPd/QwErQJBm4PhOcferFW1KWN4ywJvf7ygfFsh+BFCwnRIuX/HZ3/+yYXqseP66RPHt+s0BsnPc6fQkeP5JwvIF4POypdF3iqHwLGIKnv7RzH25U3+IuRYwPQOH7zekveDyXUY9aUyD0KyksfsZUL1444VmPu/pidT2+SPjh8vXgsc/oeNyhs/yBX3y3W+A6d0F9VwoUFVfgBU/8vrjhacyqbQe3HvztibzSZ4QWMBDdKMftJ4AxiuxbOYHevSoujKwAJ/JwItE5bTOvUrl9L39DEN11YJKO4QTnX1SO2Tri0sxo8+rybCvt9V+pyCEk/WXogcnyspk/CjmcTY6aQ/Imykge6Dh77eqZfQbjdRkIIKYQFWrQpYNkhJamW8qlLwAJqpB4yyZqIsjY/YMVKQH/SNF1KvzjSpzgQQDHVW2l1eqPegnf196EGTosc8a7k7e7GOgnsrOcRRpciXCnqTlZ9I7m11Pvkg47GzzmlkdNEpK9GJL2Gqg++M6jai2iAUnXQTgdl0RdMcUgb8vhFXHpB/yXEu3kR7IOsIi6Kjt2AMcokLZiwa0bSb9LwosjqylHqRJ9SCj74Ob/7oStT8PpxlmZwLglh5shR54T99om0kAZDIjXv6sL2y3rx9IDgAMVEfpwYwF8P5vIbozIr3++QARHf/sWjtl0IRUbq5sfE6pU8Fc6vLm/u26vNfNldu9sOYVTGcSkHpvxTBnuwjgo1k4EoUBKACKZhgl0+m6cZkWGI3CYv2HQ1Bsr1YEdSIlNo1o9mj4JQcLxoXeoIAEfXj4TC+MWDIgHkA6cgl01HLQYAgfbrTfEJMoCc3UYdV8h6Mg3qtVZ6AebW1MSCXOnGBV9ASA9Pu+Z2PvNg940SnKza8Tn9nqyLQJ5eQfYku53abecxj2uhuLJg027y0kTnfOGXoAfXKC2dnwuwC87UVFP7d3oO8p/+P2633xIriZF9p4vQKeP86qEjvAPfiHfG5jbfIznWsnxQt9iNEVvGYWY522mmwMF4yOGGOEnH5sweuodxCsCABoVBD2GMMTRkdwIlGu3VeMBeRUG7ZjwnqXTMkWcRbAEx23/Xb7X7fhjvZK7IE2ZWObGKqVgGy+1Ud/ODJ48xkJEY9oBsW07P97u9RIq4fR/ryg6f1uY6+uj0/xtiu39yi+7WDspo4oav98e2YAeutHA4VkrCiHqj3pHHw4W1DsO5Jra1AgLBgUvlfQvyvarDwmQo8VPS68/R5AjSad9hbP2jUSvPAeVN7RdrOwLSZ1/xM+001vQPJ737Y/N/6yNDX/3HVEus27f9YYndORbjsPjH0wHkCjEFL4dY+Nhltog51Tmd7Xtf/O/AloZyZ/nLHsQnDZWl2GmM1tx31kSpDjwQAq7mdviaqRzJD5yPdZUrbzv26f9Nme5BqIsiT87v099rVApwYUwT7TV5dPOdZaDg3YSGvNC+/Twads6uH5cuvfnSb8slVOE9sQ9COfxX4mK6UV20eGit+CdXyeKqTKEjQTqCjqscAF2tIuvXBaBOvrKWwq1Z7ktUmwf3WPNiVsZ7ZS5ivtmbotTP6Sj+6xWDntGn487TCmXkI7T9ZHbv73xVwd72eVBuyHBJl6AgvgM9ujH5IYzwlI9OsmcM/lVVFsvnKbjEGydVtI6L6N6DD3x3ZPO9jPQIhlWm4Q7YQGQAK3YQmMfdBOUzACxpbR3/f64+nK9yds54T9zA1UjDvv8H9Z3EEkIFGAafq4QxTsMTzOyFcKGgAIymg9lWjufpn09H4Uc7bigQerJXU2B79RBv360x0oinxHdLh9d0B5SiFeJFdBudIB+2KXK8zQENWGw7sNaaloh4x6yEy8rhWuDgigU8wGKtn40vOBNLX3j3TCBxOe2iuwUcVMbYSPv1+eK5P5Q+HcPX+4IiHe4oFQWnfg2/ekqs1fEg30RKRq9CLqp0ceCiVDJqLksqxASmjnYw/oNpOm94TT/+s0t+PEa3JaKsAKKkjtub7pz6xNguuXQDso8jOpmK4QKNV7INCDxzhMOKy+q30mS6ABWRXzh+Fg5irbWiB6vlw07PqWjfyi1p8iiODKRcsCsW5DploKrl8UPP9EbPYYIvBxQYNyVUNBWwT8gDnN1lhp9aFu/kyMAtyycBwIYGg/0DJF3OoxozlT4dhZBpqsv/wAbK8V21t6P1msj7EoOBYrWcGGwi1OgxrHYqWN1NROc7XnXFv0H6pqF85KiT1/ZjdU/279+msjQnUuvM8194DTacaOkjpCVWnnoSb+ItFgctJ6EjGKWQH8t8PM9xs12VFeSQnAxAT3ssT+AUCK6KpMAnLuVDv7TADxmaqk4Uavu5jS4tHG/xzpjLcHhGANQLQqX/yAongCBWwamjMnzM4BIO0ZLQvKMaFe+mEwHtyOcAb9TPrBoBloIsFecYGINpFymEvpCc7QJ6H35+jl3jEEedn3oUbg7GMtWjHK23VHuuy0ldJZJWH/Dab+3lHeUIVOQ0Fs6gnudsfkdj8ZSnVS7K8qk9RrglNZvUfKk4l69Gv0yrEF/FXj36YnjZEoeWtRUOwGxzMnltwLUM6GGZHwlOgvXM/gPBFN3SttrjbI04U26WyGkoNqmRYTtXo4dk0DgM/HGQMT7S1l7vG4LN9TzfbVVGj33mJi50g7z2hTRrruNq5NO1q78vv1nrMUpRqVWS1RcMX+oaDSRLA+ADrRl1JoRLEqqYqH1RMQhRd7xQq7+4n37szkvGWI6QRE4lbdF/V/A2DFS2M4WDLugRJjD/PpItDrYmfhBDa62+N6WrG8Tvj0TwTTEzC/Z9ziMx89DpgefXTQOEXBlnUS7OOAZAVkTuH386Va8ZxU3f2cUY8pmFKuqOw0e//eNvfMvk3A8iUFudKSiN5d2SvZJmMqKTB/EMyfFO2ZPoHjWjSCds2CdGkxYhHgnttPBXpmn3G5VmstYTbVDiaA6UhuFWRjg8llBVqDng+39orbon5fG4Xrf6gI1D/7xe8AICV6C6aKdAABAABJREFU4u+Wp40JxtliIqeC7w3SKrKxLGRvYcP73YztYUIakk4ZE3YA7VCA13fxDELHwNoogsnnl2Y2uJ+sz3RlcsWxWUxijt9Xri+AGNFYlZ0GlwYoGQA3iQvQBaXSUMyIc5nXnHyWvb2kMWGIgs5eISBiM84p/+L/s+Lb//0Rl3+2onw74e7viSCXK5Pb69cJ253eMAOcqbi9PWFqP0W+7njzXxK2h4znb5Ix5BhfSHXkVIIBMH9iTH59m7HeCfZ7onFo1m9dgbu/T5C/ucf1a0X9x1eUqeL+fMVeMy5PbzA9sy/5cLdi+VTw+q8qyqXh058UrK8IYhy+FRw+KF791QJpwPaQUWfB5avE3l+L7SDAdk7Im+L02w2vPi54/vkZH/6sxLgd17qLiSqNSeb8gWyay1czrl9kVJtZn3bBfpqYCC+dNgyQffT8EyLAd79umJ4b9kNGnoD1QfCbf3u2sVLmyy7A4SPFzu7+nqzF4/tmbAFb16rYT96zTp2M9VXG9YvSmXe5U7I1Mb9Ku2J65N+X12bnw7bLF/TimiCEWrcH0sGnR4k1aZn//+7XG+Z3C7ZXM5YvJtQZ0e8s1c9rRT0p8kVw/B3t++Of7zh+ecHy6QB5zGgzmWaiivWVJdZG+/Z2Uv7F1vVecP3JiX3zF4X8/0t4qjsHBIVJveittjDKpnOZWBUI9BNDMO0BbYj6GKUzAYpbZxiUDfvfoDkCcUiOfHBMDTI3HA5Mcp/LHDPQNCk/3w4DsUtjb48FRyFGYv02U+pO2wPFQB0RP8PLSsOAegZCKsWuW14kaoigqgf+VCKUEV19+VKl2AaYJI8FAnn5e2pqtgM9U51SJDJUOYd3+jUNf0K8wvvDkDrqZImqHxptUvbIFUB3CanyBLCq3/r12ochVBANPQm1Ytt85dpFPRzRaRaU52S9YpvejIAKBEgA5O7gP0Mj/ZUy+wEPyuv2argH1jI8d397so8bcpNQ0ryhIbrzkb4PYGsXqrIYbLbbOYMirqscGrQJP7qx7w02ckSbQPd+366m+LIPd0Qrbu8f3sZ983Khoc+QU3+G5lSDrjaouEYA72tfh/X/DBX+PdSUl0j4y3+3dQfsmVdPsvNnv3d7c9JRMEf3XnwXEa4BxS29Cqo2VjWYH1a5b8UDT42uDF9LWPtDSg1ojjAkQ+RvEytpQG1O/zdGS+r+caQ3AgiEiPbmONiLe497gQXtHXkAAN3Q1bCB2Pu+Ro7i9HuydXPfNvj2FoyETn91tkIk8BmBjLeJIy1QCE3pgA5Jg1Hv0JN9q6IHVXxER4yO6YIrMa/7pf/5Q15RELn1k1SMTt3Xv7BrV9AHGqnL7gcCAR6o3f6ZZm8jgqbGquFzshs39lMUHodr8tFEn9nzzXO73X8345uA3iddyJBKq0AmABBUKziPB06ggbVBkSgMNSQfaU2kXgpC18P9EfdTR5O7MzXaeQMS9CZB6bbfAFg7wwtT57xQJdtnSGzc5vzf1NzKD46Ck9v/70lTxAzGQnIV5bEYdePLk+9LdGaR3/uxAdmEFVeBZEUa0N+OGMJbqYOBNjIc2Pd5uwi+53SDFeYtobXz0+8v0Gr93CZHX+gJKB/g53blfenaEmnxzprxQp9/V0JnfwxorNPuxZ5/vxHt15EpItVggbe1zPUYE/Y7P+b3cWtngrCtMRCXCmjlwqq1A43nt8/9dnaXI/vaJJIoXnv//L7e9kw9nnB0NT7b7BT9bPuhcyxb0p3mCi3sF3XVYgA/EHN222wzxTYBK1C1ZDGcraHvMbfZzA+IMUoJcRa2jD7lopFKXC6W3CRFzg1zqUgCPHmRKQNiAbnvJz+b8koQo1wU8wcruKQjpGVDyAfTEPoPMi8b0vMKqWdjfXL9oy/VfE7oTSy1x9C237QImiinFlQgb4NyQawd7zNiTWvvqYXtQ1G487fZ9+dVbbySaRgl+5jxOdl7qhWDpwbG+m0Q8Rv9oF0XJz903+aMjrA77Wf5WOhxkdgklAiNAijmEADz0WdOR3eEeGzTQmk4HVYszxOkFt6H5XfU2bEvN5ft7SHBLJB+DqQa9dn/6uuPT3JrZa/U7IeGJRem2lUPMOqMULHQHp7sJmpzNTTUehjaZDSVpSItCMVSBo+pP6wxePOENiPmamlm36VOYEBUBesycdMcK2pWoHpfRK/aeSUtr72PhQgDe3ikZaAqexWzYD9PrLQtNahpUUkbkm8ArGJ7Inh36rRhgOOR5sLf2XlaRY+mj3nYKtKnZ0PIiABzfMsOHCdgZk+vHA8Mni4r8t7QThPaqTBnrabw+eoBUFIXZdmhU0G7H5p5GqgoDMCVOwFz0EAP2sIOFPK8AClhfzigngvyqjh9p1jvgOvXDF7LRaALD+j9pBHkOlcfAJWUNaNcdpTHBZoT9oeZjqoRAcvXhuP3tweDWCIy0nmduu70MFLOxWbBIjY6GjA97kS4S4FM0839yXFm1W8GpNh4EkXQftn3mKh6NyNoeewNSdGbK95P7uJLJz5HtVEraomVFlb+vVfLCwV+mOxnQ7peKfazop0aymze5MitoVWgKtBdkJdkog0ICgsPjsHBWj+KVzKlaox1SkvtAUcupj5r6PrJelwdORIPWirkk9HiB0VlL9xoEv67uyFXaW6GCovEbM+gteaJtr0b88C/TwRoJkg3oHExEiiRkcBGV+t9dyTZ/it7ZV8v0L8Xpfdd+nObTSHU1Ef3c0I9kCGwvrHgw2j1nryRasVDRp/s44wqm7fG8R3wYEc6PX+vmD7ttIdjHgJ8oGSj3lvw7GqHRGhMBbJZL7r0ayHN4kUk4K91w35i75bbBbRXc6WSqpWDkokQJ9MiqEdbWwvaayJi7Oq97ZCxH4ni1YP589z9iWsWBEoxw6reiv3coIeGfKpIqaFMtPflMqFuGfKpkMJW3b5Z2faeZZ+J67ZfLrX7bYXtT0M2XTl+2djnmlP0ZDcT6Bn9OSnHAriAlI9PSwniwmxu+0MrjpYEuRrKCyBtO9JN33eKQNNRK1dA1rmgnicGzFVZ2BpUk9uhIG0V+fsnilnNhbhjM/tWjYKFzhPPmQbkp+2mF9hfnNFJit12TwGw/czCQ5usUGYIF6myCeUqnDVp57sLLibrw/QCX3muRAC9OKq0q1Qbtjsqe6bKf1MRir0Yrd6Lfy6056hvnRNFK8cCg73q3Uz9jrlhfdXRtDYxiTt8LyjPRN22e4mC98jOIfuF8U87uI/gn33m9ZXnhsPTBp3Zh+tIYLRU+SVZ/NJm/6PAGajHhuntFaU0XD4cUZdEpXaLq5yZ0wpRIgp89mRLVJGfLXC3vtoRYGgTz8p8saRSONkCANLKZ1SPJRhXVEtW5Hx3gxjWoX92+tV7spNenc1HJrgQYTJf3Q5sc9PJMiFVlOf9Zk0oGMVe/kBw7eWocJsL9JBZELJ9GSObqnZUWf3eyDIpbQeMkZHWxh+7uKhtM/ZfInr9iZoazT4JqgXgPsaqfuTItLTaCLUkkNTsrGCG5LbKhMvWDj02KYsGYwvwfnVFe1Y4oFRnGOuAa9UOgrEFYizQPf38gPIMtL86Yn2tePrfXlCfCk6/mJB24Pp1Q71vSLVA3zPWXd/Qtu5/ybVavjzg6SdESdtM+04rIBuptnnh9S+vMvetIWzLa8H6mr8/PTG5nj8YUuxuswFtzbgsGZffnSFVgEPD088FOjVcvj9BVPDdv6ZY1H4CtCjSO8H0yFjQR7K1OdkYxR7j5Cu/Z7sHVklI20xmwFFirNP0zMSyLJabDIUsZ9pMjxVpV2pu+B4/dT/jRQxnCT38ogVV3anaeXGbRNi5NCpPj7lMUhdfrdjuDlheJRzfNxy/XVEPGZevp9ClaRNR+enjDqkFy2sWInZjlm13FBtLO5hPJeDyMw2Utjx1JknagHwhexUqyCtjz+uXtp4rk9jlY0Hejnj62YyPf2qo+jsr2liMk1dBeeazuH7N9Tr8csLzL7/A6ULmrBe+qcCsqEfF9CmhPHHE0PLlDjTB8dccXzV/apg/7qiHjO0+fVaw+7HXP0CS2+JwAHgz3vfXhy0zI/VKg1dGfZRQ2ihLr8gxX9LH0jRHuoDbgM4rSEMe6XMhsVNVLvosFUATtEYBhFRI/9ElUzzBA8DRiVY6HfaxMbBrRZB8Pm9taJLRTqkf2mMQD9w4HbFAPyTtp0x0ywJ1nQvq3YR02ePeQ3EXYNK57JBlsz7N1L+rVsvoDc3xmZ97JUp7mli5jEQhQbNJlBqdDoeCepqCYohkSRpe0Iq8EvnCDMTpnCVzzNOcTIq9os45enJl5ybeTyxAVM8+Ldh1BT8OomYSr3OxXlpBWhqTs61RYCsnCkaJHdINnQYpgM+UbRZ0jEpyo6Ol86mktx0Rc1PjVbIhFyyOuLS5OHpWxBIbJhukSadQkwMS0tDn5oiNvuxJF7PxzP6POklPbDwu8grpZL0xxwYcKlJuSElRCk/PdS2oNaFa5cv7mKN/w/pEvb8h1MNDKAY9+XDxHR/bA3TqmdPVTOE17HKvvff7ZdCsvhYJmiyxqK3P0a21I6322UgMkjVnJKeUAxgVj2/GkfnvqN6oUXtyG/223ptV223y91KFGehI5ERBETX0ttqMv/2kvSBkxTMtClFB89nDXpQxVES2RsEsERaqMqD+s7UhrbvpEdwW96Jimzv1l8JQiJEXMeZgrLwDCHVgub1HaY12d66QJmTAVkA3QHYGNbRt7f9tnpwKMLEoEmO1JrF+PF50c5Rl6sqyQZMzIZsRURsZOTorMDfkUjFNFW/OFyRRfJ/OWK4T6sXfgChipdWKN043Vf//TLzT3sJvs0+VRShtZqt7ZfFFff3dBhMSdlKmnIWB1kXVAt0Fi5VVDIG2n/nv2Nmg22a05sHupdsmFXprFIiiJ31K0KpIhaMVYmbzlGPcWPYi096gyWb0uvCdO0HTvJCt3iJxwysYJRb0V0vGdFboxCp/itmIQiFBNbGoCOKsBWkjjT16utYaBWpYYJkvWwj1tYl9atPjbsnZRPq6CPeLDAmvISSapSfzQ084ALRDiX7vJootkFvatdPZtzuxZELgWVb0xrrq/JQi+Oe+7/adVwmGGNEKE0ycEcWY7luAltli4meNHhruTiumUrEuE2oTtNQsMU1RHCY90c608TOVcZb3r4UPsVu6GYXXNKjp0hRirQb7GaF8LE2762hK/7RTXXo/JaQ1Qa4r7fnhhBCgLAI48ml/b1kCCMjbMA/a9sV+pJo3ae63thjnSUIAI/7eKCDYNcZbhImzxxKdKUfWjPc0Rk9mQyQA+1lvKPNtUjJHEgCLW1w3g7bRgArTRmFALkWR1BhW5ocChRUmSfnaIDP7P8PGqrdB2d6LggyN0ZkPo1q/v9Z7JnOH7wTr24Z/8bPf4rvnO7z78CXyCia49xsLG8L9sN8xZmkz12g7k/4bKCDQ0U6LHzQx5nb9HYBCcPVk43iuTIamJ/49ej4V0F2APWH+PkMqsHxVIecduGakZ37h9ZsWzwTNCwA2i7p5caznBsFsiL1hoMA5oVypO+FFq/njAL7ZHggbysRo89pC/DTtEginM1pqMwr7Smbh4Xtuwu1VIeKrllNY8i2KYKpwxrfvTzPrtVp8y6IYBDaJZUadZ67tQUKxO193goDK322mwFyPjLXz2pPc/aFBXq3Y9YC0GnhSFFrFBO/U2GYs3NcT7TUb42o/JuynwsLB24Z8Fc5frsqzRnivsrNtaHnNezv9hoUJP4tbGSn3lkMayr/fCeRUoRvPNRZTCIiyDSB9pqH0Y68/PsktHMhcj92waI00gGKCP9OTYn5sMUpImgZUDSCCaA8mxpl8obh5MYW/OccG4Zv6Icf5XUJWCyyodIGhTPRMV/I80nNGeZaQa3cxhpGCKpWIrscCLSckk/nzHgSpPdCDB0eNsyKpfFmgkiBbAlD5byaMgHmK381GRSZtEfzdih4w5QQ9HTpiBibHIdJw2eiwp9IPAVXOYdSOzIn15gLg79rnewVfls1QuxRBWFBVbcRHJC9bZXVWFXp3Yu/PUjE3zm9rxdcecUgoSBOrp0aUc+3BLAMeRXmurFa+YbmsPLHHUmrra75VaPYTdzTKBBR0tlrpG8mLHirA2E4FNZtzinbJwKBSiG3vAbkY1a4KsqPPRrHJA+1keqrw+ckMoI1P1kCUEwhqlk6cGYrManCbOlJBytzQFuCJjgVP/P9CSvJQ7m41oe2c4+i/Hyu0meNzwZ3a2wjG+bguzBQIhs9IVP2sFwt2PzFawospg70EalqbFWf6fGi3ccTILOl23Fgdk6aQxMTjM3qWUz332u17oNONAU+8xfuHYQH4Ye7BcFP274524euhtgZJUA4JdUrQQsaKFmA3pe+g+VoA0eqQcKIHYeqJTbPRWY7aORWpKqbdxnD4bEjtnx2+MhNl5vB4NVT5NvCRqtB1A3KmgLj29ddSIjGHBXliaoi8Tt6H+n28rHYBtPfttgClUyK1WBVpaUBLKOD9eC9uNbqri7Ko9sNadoGsRkVUoDXBstMP1mqjtoQJAnxckCMGvk9svfPq1LcEHBBFS2i6CWShyjnmoz8V4azQVDuSpZ0SrB5wOxrrFPQQRkvQ4xR+mL62QebZvm/GzdiscezSMJ/Zr0e21hNIccpnRbaiHXtgE3Qqvdg60Md16NuVpfWzyb82WW/11pDWhFRsPuMOSOZzccV2VxxxoS+fQ+vBf7T7DAGdq4q3YcZ0y4mMK1u/tDUG/woTrzRxG/PHPhdXKsWo1KhyaWvQy5XFZBN37Ebqi2r/FX8Pr319RU0J95Mcp+ajrewt9hzSUnG4ctTe+maGTgzIyqUBDVhfz1FkVTEUzFhE+uI60k7qcIMaCw14usxISVGXTPbZKuzPtQQ3xAIVMXLG+8/HPs5m6rtkVvALy4XjTHxk123yWcJO8qJx7gbtWRUUqUlIa8Xx+wZZG1lqjWwy2qMhGwrEzHRPQpw9EcmRxO/I1lCa9v0JdP+nhcVR4QxrTc4isfv2JDWECXnt04cVPmrLWVWarTA0S8y5VYHpK9BWfLSkn8fUn7F19ekdUx95xodHf4HE9YXZcJ+ZzEJg2sjYmp4qyuOGeiqocwomWohL7YBONhIzAxAm5Wk3P3JKRN1rrwicvmvYRbGfBfP3Gf/fv/oZsCYcnsmeO10LgIL5PaiO7OyjzJm5UGo0lGdLTM/dXkVZ7NqMbtoOvMbT71wx1zeW+y/g8s3wd0sQ84cSMZlOALJCcoM8Tzj/OvWEHggabLnSt+xHwfbFCZoE1y8ytjv6wfLIfeAjPucPiALd89cF+4l9p3kR4B1/bz8TBT18qDj//QXtUHD5CRmE5dqQVo1xQKIcuwQgdDFcABQqmKPwMKxX8wkhdi9WUJkSwDEqzhahDguENuFTFT7+ywcAwPTcUBYCIPXIETtPf3Lu41JTVy2uZi/hFypw+ruMdjhh+gjMn9gXu76mb3r+mdCmnLnSyMzR1Bk7FDlN1hedjAWoEec7oAVhgXP+S8Q67cfbwrYDjPkqZP48M26pj4L129lGlfH5X75M2I8nFhUmQV1/AIT4gdcfneRqKRRduds5zmITiAUqlIxmkjh/ajh8x1Ktg3cwWmmgPkOFm4JKXLCWBWlrKEvjTNzX7I/0apJvFsAejElgA0DdxA5iQDfyRGRJEBPhmT72z4nZY/7QMFTX7HvaJIDYIewO1Z3/UC1NVVnRLBk4z6zmrTv7UfywEYFMhQHGZaVARck9uXQ43hHhkoDZgxW7nhN3f/60QC4LYqatKilqtQHLClmJCrSZajg+6sIr/7LuSE9XXsvV0OXzsQd4Xg13Zdpt5+8CQFPoVFAfSHdOlx3y1FDvZuBUrLpHNIbKk0xw9b6iAijPufd4JXvWjyvqecL2dkbaFPPvLjb/1wzPgn+khGyIoleF6RANBRcA1jTfJunvl6EqGYGO9IAoJdyMEPIROJnBNAQQH0uiEgqweRnG73zaiBTdUAQEoq2L15RElsFcSEPLpFs5mu1qvdH3khAJjtOsRYk8qZKe7K/WhJUwS3LjPpXoVonABdY7Zv9tQPScW1HBhYNcHEqPE4PhmwAeERRxoHUmBd9HO6gi5vnpRhSsNSZcyWj2I3obi68xLuhmxE+tPSHwwlgyrpIn4/N0kyi8/NybzxSBzhP3jNm3rhvQKuR4ZIEJsOCoIW8MxvIxo5gwWF7oBvTB+kftIAv73zvt3J8Fiyop0LZAzp2y7YrsTxaUnQ9c+2HsFyr38n7OqJMGNd3VMN3mFRZcrSsZHzLf2KceCqvDuQfz/uboA5tY4ElJb9FhWKK1VeSnlTYd7SbWV1xN7KkqizBF0EoOpVAPKtPOHkQGqgzmcU3YZw3bvm6W5O6JKsRWSFCb1+iU5bFPnrSrZsga22Py0sgMAPfSmAQ2S0iToe3sR2KVPpTw3ZaAXrz0VdtqL/oIA/h2mvi9jyvSdaMfPtiM0tMMzZlFsJfD7osJAHqfvdBXxmdnkLq3A9K2W6ZDscTVk271tg5vD9qAvfL7j+UG8WPRqyKvROGZRNHnpQpqFExUexb1M9j869QDdc7SdD9qSJXNDk8oqNYzSJuyL7diZrkaUuP9m7siN0UrmfoOIzOn0tflpUEfn4B5ph8Yizlj/zQs4W4W9AJY33D/Hr5NOP+aooKc2d5bbKK3+7ojvX+ETgXbqy9RJ8F8qZged+ynjPVNoZ6DBeosssBEb8bNAxMAch/B5G97NtbVmhhjLclGhEmn4VvyGeMOXTl86DFvU+L4kx3U9lBQ8NPjFmOpRFvYlOx5thDYvFFLB1i8Sgn5aUN+XKApoT0cu1/dWzCeupq67cnGWCFdN2jOFF6U/mzSavGLPzYXZ8yCZj4z7Y2tbods5ybBkLQwVnDlWRfPSh+eQ2BTTZCs3RUyHwbBu1ZgdHbYtdBI2gTSZVeOeCF6CED4PLdz4nxUZ0BZUpt2RVk5/lLGPk8R5Csp3flxRXq6Ir060Y/PJjTp+iIbk9V6MvGq2mNsXK7AcUY7ZtRBMev8qwuuxyPalHD8VjA9zWFrUoHzbxvmxxa2UudCNsSkuH6VUOccrIZ6JAthtFcHuBztzlfB+Tcs8MyZhRi2NZC9cP2mQWeFGLCUF8H8jklcPauNA1OkrMiPgodfcCzRet9pyF64JC034frFhFYEl6+YQB7em1ic+X1pwPGJxbWnbzLWN8a8Og1IugLbmfTew7uK/Fe/Rv7mC3z7vzxhvwNOvxUcPjUTZWScd/xg+/NO4lm1A8JHRB+t1QB9z+/ngT1hxSk/54qNMKtHaipMjzvmdw2Pf3LChz9LmJ6At/95Q1obrm+ZgC+vKeTHPczvKYtiemrYD4L9zKJ3MlDj8IExXrk05EvF9cuJ88LPwOUf78DcMP9ywvFbQ98feVZSAI8J7naiHzn/pvsdwOJsMzEIR0y9/c+sBr37b47YvrB2jYMGMwygcJWoYP5IQBRgvuPhbJuBy9ccMeQsrXa99eE/9voHEZ6SHUhLup3ZWPuhE0IjhxzBBoC+0accKn2e/MHQq6h4ZUE95VBc9rmfzahJTgN01dlOz9Pb620C2QRpEQb/zLk4u8wC/pvqrqMk0Jsk4TYAUENgWlTbtST2Z7lyrFXldeZcWgYR3tspPUh3GuUYKAWaxf8REegO046RfqBUKuyp9bjFQexVUBHI9ANJhD3H6FE8mpW6qrIjAOLBlVriZIfW0LMLwBD6FIGKjzOQ6mgk116tAHEjlQ8eTO1ARCqGvCfc9jgnr5QALmbhh+GYa4mhSO4YHeEaq0kh9OJJGGBqpbccqRBsMFSVn2mZg3YH7AGH00lfmmBPyIdn7bcWwjyIz+U1DjadXnzfJtCUUNcc1CUAaGsGXFnZ0K1szIpenEGon94gU4pORd5tfZ336kHoSwoyQOpgSrT75EkxejJqn+/3CrBncaQPx+GQJBSUfwiFDXR17LfNnBPolP1QS/Zn2Ib32bMPtHekVfu1ZaKEI7IsNp8xClW2NbwPSBPCvwT9qNoz+CGKjdNJq0aSGyroXvRqA5qxt55X2jU7QudKi10hW9F2oKmEIjgLiT+c+PMaANkTn1szWpfv0/ijQ5HR/bXZjalxj/vV+/1CbEIk5j6PSfjYc3zzqG2mpCwJ+3UCkmJb+YzblgzhSrfX6C5CJIqSN8jzYANhI8n98XAB/jlzYXLgNl26n+799AOC+xlFvzFpWypbF7wQM7AN0EAKsTOC3DZE6FMTbttFogBpRSj/u/+5YUPYHrbPuH3wQzHF5wD7+ozPxO18Byns3gYh/WexH/T283W8T+vRlJFGvVM8BbC2B0tkpDaqducEmX0GKj/D++Bc1yGUmRv4eVZUk2m6RXLtLPCkFrB7MSZXgaAtphrtehHiz8RikgRSZZvShxWb82rXUy3xCkaO2beL8Dg6N7ahQPldbQdkTSw2SbPftdhl7wluBMnVn4t2VKWARU9NwZzrrDfeR0Mi3daUr3WICG+fH6CQbsrODhnji5E2PBSKIraB7RNIZ+tFzPP593prgZ+XN6r31uZ2U0BWQ/O33hM77s/xpSVDDzNjTwNUKGDZsJ1ST6hc0mHnvWoBCV5DMu6B+o1vtzO0Fx+czaVGgR3uxewJWaBHFsB8L+UN0Kqhy5F2Za/jcK6IArApHfmyow1xizT2kS5vPWCl/VUbNyjKUTbTM8EozfzMBhlAHW8h6WNyfJ+MbSXNCpDbvQCSXtDGYQUTYcjaQCRz50zcQIIFwJZQS0Ix8UwyKvn+aEcA7TgVaji8VGAPOzdXvts/1gMTXI/fVJikkm5vyPRDhv7sS+xvT2gH3uN2z1i3HhAjx5qtVV577LQbiyr0YQzh9RFSmoD6DCsw9rVxcSyfkT1/4rNzJmD4OQGWN1Sid7Vj11lBA4opY/v4togRB7R1O/mZm4wyb9e3gjOJYbFKQxS1WTyS8Jtut/7Hi90+TsnZEJqB5cspfJTPryf6rdjvzN8+05+RDt0LgrRRfke288bbkXAbnv/o6x8kyZ2eFIfvGRSFmqVtAk88t7NAk6s7ISoJaWvY7ifo67lTJoGe5CkfWD0mNrYDQXleXids98Jh55/oCPYTKy1unF5l889CY0N0eeID8/lYh4+sZo2D6L1nxUeBpGUQz/H7qIZ2LdZ/eJqhKaOdMvRutuuvkK2hHcttBdmQJzVqLSpR2KCLeYCyVQsqLfhxepxIp7AtG7BuwEF6L2Ej/USWDdg2yOkIPfzwI9eUQrjKD6txVEYzGXOJhNpRpmwjQRiII4mhxWDfCyixfvyWFZ7lDVUP80Uge0G+9uqzi71u54RWJtKWr0SO21wgRk1mddR2r75IDGqDToUIud/blJHvC1pJ1v8wPl9WAyNIOx6grUGfn6Ftxfgqi2J65Ogpt4lRuCmk3BdeU5szJCcOt/f1AjCOElILlB3ZYP9wr1p6HwgPk141FgVQTZJfmdDWNUGzYj3YOj1n0qouLDLkhRSbPCRCeW1G8R/2nvfAZ1LA/IAGAPVez5Hy6MmMJU5esc+XDfJ0hSOktKmdz6kpfPSVTiWCXlLgesFBjyaG5mOKbvZO7p+dU0fWcu7FirF3vXXRkM/654FOoXY0P4OBq2qMIoIahVkEen/k9XvAsSul9Nehb8eUr9PWKUCxRibe5GgQWuviW+sG3XfaY0rxM6ixIRwRH5OqneyBfEkMrq1PjghYT0rT3iA5GWPhRea3rBR2e0wmViE3dp4XRLHHe4q0gOuhLIjonFAx2zNCtDsILMFyASMLJl8Kq/WiAbNLUqbcZwi2arZko4NE6BTyIhyv4gPnrR/LxykFfdOKlqHrUOzanUU02oQVF3TK2A9MYvJ1R8wEd1tqTvfk80iXnf4z0x/KVpF2qoDmvQ6sAwb6jqjKtgM2zkqtl89HbunBWQlUUXdklrTnH+99t+6aSDDcB42v5iqq6w65XBBJr9GXXRgv7PyJxZD9xD2hG+8jXyWK3MEeEX8OwhGBfokw371uSM36oVNCMtqyJoEeC9LzivThmf7gNFvfaLb2IwCaQ2fB7YmIfQWmAjkcoOcjFX39ue4N06NifidBh6RSP+27fMugslw4AsRjmUh+KmdEtkNigd/uKW0N0xNQDwnXe2pJeJ+8F3g9MXB1WKKAljCtIN3a9UsK50oiAfmZ/WnlSTA9A6G4q+bfNwrxlOfKOZz3ZotFY208txIVhkNn/s78Xil+lwRyNMHJKHYikClR0vzryd+3IT1v1OG4P1hBYoNT7WNMkhUD0rpDEgWlKHple2As9DrzwkU4pxxFb48p8nVHel7IPDlMRERXng/l00IRTH+VjHZ36PsiJej5gP3hEO1BUODwPcdqXX9ywKVkCkE990SW4kZkMHh/ddqA4/dEanty7kVkS26bIj8ukOsGPc2od7NRc+35LKRO12OBPszwEVO5cqyfChOv7czruPslvyiUgfeGdn+G1Irymw9AvfZ7V8XzzwRP/3JF+lQwv0/Yz4rpzz7hOG/48PGMds04/P2Mh79W1ANQHiUS13oCqj+YBgODnL7Onkr2mbO/tyrwtGfka8L0aPbt7938sy15TcD0BBy/5fdyDyjyU0JbJ8jOvCHtLEBoEiKBx27LcHqS7+thnzZj13lBQhMFqOqZKGJaeV9PP+v2pwJ8+pOE5dVbCjfd8/x+vudnOiKqSbAfE8qimD9SJGp9XbBsGeVKoT3vEd4PguOlYf6wo8wJ5cKkfDulnmwbWr18ybPu/DsgXypjx+uO6alh/khhrff/kn5v/sR4zpPAcgHOv9uRNvbIO3MqbUSep6eGVgSf/mnC9qDYf5Nw/A4mkMcCUX1PtgdHAlE0a3tF5sL5V4J8VaOB+xltduLbyxJspy3vJ8F3f16QKnD/dw3n31U8/STjkgT7nWL9huJS+RcFaaU9bXcIANMZtqScK+ZHH68pqOvw4H/P649PcrUPMR6pBOMMzo5GSThOfy8UGCXivW/rZjbukGx6JSFQ4hcx2ssXE24GBApAGinVUY2wKlEM6wYC8u80VsQGEL8m8JBmRZSVRjRPWOi825z6ga4Kl7Z3qf5+kRLBTiCWHqSI9EUdX40LSzl+Q21z7p/1onJ5gxYAFpwNP3f0NYFOHxYMx6gjGVAR+z61a7b3R+XUfo/rz4JEWRQ7bN0FDIqgUTGSKJBo/D1QckcYx+TEkv3+X+1Bng4UWoABw1Dh7n16lkBOA+2yFMi2xSE/vtIOyAYka4r15DaSgDpct30+n71dr4+AGZDPGxT3B/bsSxQ4fs8/qsL6JRlNMqC352dqeNFDZ4H/Z3vTBbF0+Hy/JjHbyMlQOnuu1b1cT/L8+Xtvndo8WeTUbdrErxyxDSaACBdpBFt8P/zYa9w3Y1Bv1xK/4/8+JCQ3n/Fyr7ygl9/8GROJBtLgTBgkZauA2ndF3530wH/0kTfP22w4GAXW+x4/G227tu6DBltiFbV14Fzs2VdFAtkffS1+BMnVrhDp9jMmuS5SlsZ7Ge4h7NXXv93+TMNHSBQR+/t/xN7RbTatsHmsL75byM7p83BhPtaq+cM137zM/gHfi8p2G7n9bA+wtQFSEiS9sBG0fs8vX8a+CJ9pfdekhd/Sm2/88rB2gJ0ho22OyK33sn+2cC/2hyW88ePxnI01cfvmA9HBZ7k4D2nKfnb29RKniA/28UP2Hm0QgfqpIboIZhOmDHX9hd2U3FuDINGXwhGOjkbwWQtc1O2lv+33DUNEEbM0bxBRa+fw2e0vkcCbV/Lk3Z6ToSO9iGWX8HIN7Psw/MztMyWekU01xGHcfztdL1BcRw397KkKyeMXofvzeMYI3zT+fIynXu5lhaIhhcjdy5fHB5+td/J4QbsdqfI5A3Fe/BDLDwDjQ+vF/nzMnp83fS2i/QQw++oFZGTSlPUH/J9UYxO4QJ37PUUksTdnvf09b33cC0TCR97Ydx2uKxgWLy/A/IwlJwC4LyzplWa+3M6VoOdbDI1NWQgdenIdzUSyopwhft7WlBK1I9pMOnKbJOzQ0UEfF+Qxmo+sirheBlu0kXbBqHRbss9KG6jnYM8srb2QH+1X1lvvCCHZmtJjNL+3NHy2Dtc2jkK0a3dF6pGpEHvAUEVpvHcqWEv0Wkefsu+N4bk5UOJtlRoFW+l6BA5MmI8TY1/6GLW4FqAj0h53JYEYbXdkx3Z7H9a2uv6LAhOCrZGsF1cqTIOj/xkZlPF309vwVrkoPjeNsZM/xO4Jmxz9nK2vo/dpbchrDnYhGhlv8b0DM2BkqaQhR6OGAGjvf8Drj05yZd9x+Niwfy/95hJ7wQBWRrMdFnlpZujNKMKDeIcviPfqmEDFfjdhP2UqiXnCa033ae8DzzfrFXAVLqk00rQZauvvUzahl4uGkeSVPQRp164EaT/zaj8AoiPDvWsmF18aMB8yA8xs6MRMFIXvtb7ZpdMP8tYAF2+oliyXQpXlo/XUNl6j9/5FomCUMl6E9VcdD9C7I7yyfxMQP5y76uahAE2puVS1O3sROsKcoK7s99xYffTxEkAkw+KU62oCW6A6M508A/S0eCUCOCRBmQXSqERZD9JV58z5zY8N+aqYP2zIz9Y344iDJ46XjRV/V+5NiQiHJUsqQuTDhHUcuT7+ijyJ/e0J68PEvl+reK/3yZr4C8r9CdhnyHWFtAy86897emo4vPdZcQz08kWj0pg2oDzbuIzax6bIukfPJAYKT7d7V3a0gNMcpJ4AH1VEeoaSGiVGIRFBUUCv/AyvuLeZdlsMJffqWlpBAYXanbN/l2gftxBBjAUNKoJ6N31+3UAIZN0ETOBnl0tGmXPckyiQMns2pSp0rz0xGJJTVrIZdITS60uUyhMlR5uyQK4bZN0Qqski9HADxY1I2UZbOVvv2LrhZtZvUwRVPRJwwCnM0fO+bpBtx6SK/JRR7yZIm+xwY9Cz3fVxEC4s4X3bt75PDNFLTJB1ghg7Ql6KbG07/20q0EHQCEkgy4a8JTQtEYxogekaWIC5t07nbnr72aBPnd+nntTuMFXE/jvBBqiKtNJ2y5VCa568Sm3s+bPn7/TzG+o9zLYN+VCjOjXTw/PD0xPXwwIc3jGYqEcMgRKQVjXq2NBvbn/yVZGvVl2f+UzzMojYNQsCTU3TC2v7ubBH0ZMWgONAFHCVZgYvCbAiA32V9mSygUjt3RGqCrmaQKA9M/ppopjt/kjGyWUjA8cF60RIUx+Cd0dBMRXU1yeos0ZWIs3+Hc3GOsl1R0wxKMM5op0Kj5zInrCAXVNCO9kYGAXKpcKpelIF0yNVw/PC9Q9zbjxj084eyXKpQYkNtC++0/rLtx2jyJustvectm9ofIxj2gWpJGRrf/EFT9USla1CDhxvJs9XSOvoXlp2Ii6XxCRyoDr2hNGWuvC7HCl0Ia18oX23Q8bydjZb7Il3tn3hQfz1TUablCO9gFAy7WNhBLL1n+Wr+edPQ9FFEOIs8fIkzK/ZCojTU4s9Zm+1z+boI08a3T+044R2yH3MkCnuV9OIcCTaA2dRRT3kKCJlE9+qZ9ITk9lbSwX1kJBqj184IpLidPV+5rSEy95p/+Dj1CPjoe1MbY9iPcTtVMIuHUxIKxlC7IvvyK0zCFQAfXu2798xvbtAp9yRVRHGOZ5ADPFltna2QyKjxJ8d25+aoVcEYqbHHdPvnhkH3x14Nk4ZAPUP8uMS1wYR1NPEuMzWRRSmPyJEvJNYXKGINitB0IHT2vo4My/422t9e8D8EWi/4Cih+QPFk9YPD7hmYLakpM3A0z/u2YnsguO3aqwExmueSAGklGqyftyJPvjur/mMxiJBmyUSFanAvPIrio12A8ymDFiiGnnvaW1F0M4UggPYb3t4R0Tdx5N6r6krN5eFceT6KuPZ5riurynkJhuLtxCg+VxWpdhSvvKz5k+Kw/uG7S5hfcPfnT5IzObNC79nMtG2D386Yb8DfIbw9CjwmH99xessz4JpTqgHxptR/LJ2sVSJGO/PgrTAxv8U6MMECLDd8T3lSXH+DfOn62uO2isXE8etiu0+A0J2oo8FOv+Ofqse6Uce/pbXfXy/Y/qwYflqxvVtMcVmiku1WbG8HVxMAa5fElWf3yumZ7HcRM3/8PfIpLVE1diO83t0f6gUzjp+l6DvgdOvM3Mw60XeFPA2VWeqlGunYLcsRLU/rNi3gbHwe15/PJLbGvLSUC7dm7KqQQPyHpHkEt0mu+80sDiMG4CSKCgAWLDQAEyhXubOxxNPBhcD3ah1WkkMpq4GWkivDpQLhSS8AkGREjskTCjBX5oQDdBRMbSXN5szSctIe5+hVY+ciTf2nE3SOIMKic5ihC2M2tOKob0qJtpgY4FS/50blNIr8VOGHrIlENaB0PrP6tlpXqTAaUoQtJuqfgTaQ+IhOylfysvuKssjzdEThGyVVqt8+7NNSThaoBlNcbekrg4URZfJv1YKMDxeKApxGpIrCwYZ/FkiWwrFsUYxL6ctD32U6dMF2CvSeQYeJsRAazV1FGHiqnMhOlbbTUUUANFgEyZrOwOu6dkO+FVjVpoHB7I3BstONdf0OVgr/d4icN4aGlJQyqLoYhWtoFkmK0Xu9nPvXXfJ+St6v23zSpjZhdNsxZ47NK4BJuITxRKbUT22Knoio0bH8yr+SxQghn7DbGJLhlBVSDRFD8nry5cFwsF8GBgOocBuwYLslSO5CunqN8JJwQBo0G2DeEk3EuAXKNjvQ248yR5m/+aN1N9yyb2CaxVeoPc0eSU+noP+wOf6//cClCtF+zXV3kYgvhYiVsU2NMz6qCVz9MpNC64qEwttNwGRv7gP+zNMK2mQqar10Y4+U/v4KVdBzaZSXNGLcWXMam/9aKBXAFQVDSZyBUvSPemoVpC8MmlYwWuZnk1kausHqaNayZC48rQjP68cHTPP9r1eWbc9kgTNewftmtqUUL2dwZfPnlFeFJrs/kWRagN23Lj1XiCxRNeT07EK7c8ggfNt50Ra54gEmd8ndR1hF7LtPDcOGXVKKN52IA2yubiUFUDsuyRpNztnDJigoKZpELgCz5wpcapAZWE2JSphQkxESQXlSXvCZqKQeXM78SBco6iAdeP3ec959WsQFluT3O7JgZEhABNdS3rT1qCSgomVVleKV+6h1jgarPUqjezNWkzApMnQk3Guekeq2NMdRamJ+3uqDfmyWVsHfd+0my8d7C9fG2QS5K1rDoz9syGw5n5ebwtKXjz04NERXf6sJxQv+1PThtu4JXyyUvArs+isaong5EJw0os+VjuIRHjyeId7Rs1m85XJp4gJVzljwNsDMtuUxEYJeQG4ZirT56HXXbzAkkmTVxvVxuIjr19nb8MwdeeqkKsViqXHAv7dzgqqJnyVlp1tJzpDjiWKraRXo7OvjKnlwXy+ut+g7XtxLVWNW05rQ3q6sG3KhOuQLQDdW5/d7gyMEwujEgUzG48oAhytjWBrkBVxttz6z8FPvDjH6jEhL4r5A6mm5RkAFOWJz9ZRs8tXgv2tJSyLUJ19ZUIC5VQSfhd6C8iQzKQrE2j2zUp8drQO7D0ZksaZp+WqVEe22bPSaC/iBfbmPhHYXjdAgcP7hHIFdtBHyN4T5vmxIS1q436azad10IlJbamMTwMx9QTNgJZsBbvpuZkv4L7OKxPMmEphhaw6CdZXwPrW9ws3xX7kGcYCAWNL3z8+7cBbxjhf3Nhgm8ToVVfrbqWDhnlTnH7H0Wrb6cRWBis6ARbDJlKkWwEOq9GUJ2GirMD8kW2i0yeKxW0PU6wHn62S3ZgZr+WFcWg9KVplu4Trb7gvy1bg9FjQ8x7q8SjGGeNp51nBfmYbEWfteHVgdlJUT2O+cEeLFflxBfZxVtqPv/74JHevhKAX60nKQDbxBc/C89psfIAfci0CeqhGf82IULLyliFVMX+gSmFUrow6QvodAy/f2uSGS4fXvVdHulFzPJD0xNffrBrKglGlV0A2Vj5QB4pdgiF4XPj9xA3Bxnb2DWx3fr38jv1kcttXYH5KSKuN9LF5jVIH5caqRATNaWnOcJGOka6jc8GNyqdX7htCZEoTVQhVuU5pb0hPV8heiRwcpx6YNRYh/LPbK1Y+Zd0Risb2PTciKyKQtTE2N8VPzoH1kSakZpRLQ14FW7sVziDSb8FJSaEyqiVFcORiLFoyfbzpY8my8kA7HSzZL9bn+bm5ylJRnmugltIUx/eVEv6P7KOT6wp9eobuvfIvIpiedxw+WCAw9ev2TU601NDbERkE+kHvtDYPoEJ4Q2yzC5X1hsNB5n5o1AEdkgbkULuEUd9smDd6hfOGNmiBSyQofs3alQaDGmY21ZM2G7GQ2TftfRiOCleTh3eHlpeM7czgc3pmzzsr5A1SSxSyYj6iv0KYTXrwYf7BxaVgYm+BgjllvxSbQ83ARXOOYJ3r1iBbQczFbT0wildJnVHiz9Er5EMgEcGFJZ3pmjE9cRRUPdJOpkun+Djdp1zoD9kP3bqK7kix89eIYI97D4Ajv+JorwhUM0RYvEqmout25omrXO1wkMS+4xHGUsX0WHF8J9Ei4mrzftA4nU6GoLPTrBUQBoFQRH9/O5SwK9kVYglSFwgE/0fBhKL1IfPja2yHmR41gr1RrVLimsC52rsywD3PLNbYOcAWDy/geMEmwftHR8pWnalSOVJLXcE2O0NiRx8bttbwAxF4Zwbq7G/NN/cVNuSFtwYqIiObWOHgS68bn6EIx7aZum0ytoTPmaX92meCyVOwXdy2PJnVFHRLZwfBAtq0VIiNa1EPMq4NaRMcdfATYs8l5j8SUdWSUI9A3hrp1iId1V723oc+2DvPwoFFERRPtwf6h7Q3wFC2Lm407J19Z0HneMBIw5KtUgH/ar41aLSMTaaLvkCmjVI5PHs1mrIoMH1i3BJFRbNDzYLtgeiKF9frLKF6XmfpKv9Vg27viYR/NwCoI8B7R269OB9qyp6ISw+m/UxqM/vtaknYz0QYfXzX+uCtVkxeWgbqiYXC+SOLXC13fZJqYo5lSezdOySkcw8nuU4TZOa+d72VGHllSXS+7iHcpLNrtnSf5aKQ2RgEPharOhgASwA9NhCe1T9UpPQEVg21lldn80cNMYM9Cf1z8yTNCr6+n5pCr6Saxporbhl/U0K7O3EfDm0zWhJ/RTO8r9zPuJHVozlBnW5qb88bRy1pTsDBhP1c1fmQIa+OkGVCSgla+3NY73Mf0XaQTrt1n2ufXy5A+Vs+Ux/p+PxT4PGfJhzeCQ7fe1IzKEpbgqhX94G0nfULIrxji0tee+LKP6wk7Ef2nHtRuF+XnwFc3HriA6gzkz7ul743/O+pKq5fTljvu35Jsj72ttp6ndgCMH+gn8yGLm/3HCvEHvqCNnMtpPEa97MYkmvrdWVCmjYgGcPo+B2R5Pmjz7jN2Hfeu2tQOCLfivQMzNamPA02laicvD44Bd6u86EYoGFrObhEf9Zt5h7ezoKWc/8+BQACTtt9hugRy0OKePbwnkaxPSj2M3vS5/ceg7n/4RdyTdKNr3LmYJvITmHuw0OzHpL5DmPO7IrpE9fp6acTxzrdMXfKCzBd1dB8AE5nV2D/uuD5m1eo6wz83z/b5p+9/uAkd1kWLEsP+j9+/Mgb30k7KRcaRRVeTLl4sN+Do6ic733OJJSH2X7KHAh+2RmQ3E1oU0J5osS8tJkLKt3Bkx9vqKBKCE/5LEGn2nmVIdTeFPAeW03deAAG+K2QmuQy+2kY5eCJSJtSCGC1SbA+kPK6PVDGvB6A/Z6BQnl2dJPfX57oyNKm0FJIH3qy4c82coPS+BxZ0Y4WlK9DFRBgwDJTUEkswOR4IvcCRNGSz4TTRBbaUiGfnqB7hRwpEKPRRwoGHmIUn2NBvmxIz+sNtTEozAPSkBy1seC6nUh/CipsRVwjTCwkDosdyAsDxFYSRKaOKotAqlGZUuJt+eGw1z4L0a5JZ44ESHuL5Nxfad1RnrdAT2RvmN8xSc6PC9pyhV6e0D5+wF4H8QoR5Ocdhw/ZxEQYVXvVl9WqFmMPbtAcq2hrTjaWQXufsQWIPieS1Ts7vId9Awyot1UdRwfnyBqkMwfGMRK9eimW8DS7XkuyBKyYS+8L4jxW2ysmorDdMUBbvqAog6MKmoHtFZOW8tz7I/NC0QOxaqNKRqpU9WvVkoFhpAI3SIZK6f2GAEKd2YXZ9sbiBnDbizgVokPFAglPcpsF+ZU/cyT2BjmVIaE2oSxclkBs1eAWGfYBgKDnY9mQnxJSSVCZQBnOhrSLoaEjPMPkIZLclwmu37sn0YMdxn9DJVoD7fXef1kAKaR2uiCcMytkWVHbhiYsGuw6+BQA06fNCjKC/WBzUo16qXYpngQFGm1/KIjW2NKgGsJq9ch9Q5/Z0BXlTcwl2X2IHYoK5J2j59LOAzIEqjIgVg0GTKhu6KsMelyzcUUm6lLvnCrdizkNiYWbIqhzCpGg/SQRRKAB2yvB9Qu7Phe8sv7ycgGmpxTqvmlXozTSvtNa0anoihCZiraSFjYk6x7FCe4/Q7JcsTqB5+G2Q48zBXVao3+ujcVBD549YfWihguVJdzYLysOqf//KKoArgAtCV2Aaic1HeBeh1AYZz9yX0cfqxejE9COLqzF2ciYZj4fG6lycz22LyXOimFPGFMg2AtWINaWka1VyJlXUhW1btBUofmAfXTK64ZyrZiMgabSE/NoqQrUym31llkzJrnzh5W+0xBGPlfuoe3EYPjwbkdeG5a3kyW5guo+XbneZWGxlzGGhJ2MqInHLXljkHjT9uC2bQm0qCFQHlsktgltZ+/V5Oft584AUgHaAbj+dAdKw+kXM47fetLJa61HXku7COMrBUQJSpQr19CLOmy30WjV8gI4kkCeV8hlpSDTw9Hut0UxSJMAVZGNaXAzfsfFMEdGzFCr/KEXzwQrJIuJnV4ZW7QDWxPyhfNqdUpBx/YCXW7Dmdz6dYxFUlJsJ7Mr+jL1wpMhujplVEdwzQ/0HnJ0erUXbraG/LSy0JUnqDa0kjm68JDQDArNKti3fi3rK+GUOHum+xnx3GOPNxYTz982S0gbtruMj/9Scfr5I67/71e4+1W/75aBbGBSGuPshYWQ9Y1if6hI12QijAiaO9DjFygTGve1EWuIx/b+ewCODZIUbSq3yZb23/dc4/pG8PRzMaFNngXFFI23B0U9KtIimD9obxkQYHmbsHxVWegMWj6ACixfKPaTixsC7aPg/FsYUMA45/7vG978P99FQbIdCtb7I7xtaD/QD5SFcdJ+YKuAJ7DSyEqKfZ6A5bVg+YrnCZWJmWtEy4jbo7Ig4wlknfjZW+a85+j/V5hfkaChuxCeVNoB9Yr4OdMnwem3PPe2O2dx8TntZ8Hla9Kb6wPPg8Nvio0cYg6kLioLQZ1YuGjGhCkXRfm0UtTxOGF9TXXpduBDPWzma+bBRyptevlKMYbnv+/1Bye5//E//kf8h//wHz77d5lKVHeTSWlTZbTG5tYsUMssJTvfut1+jgUTvvlkV3gHrGY/OCyOSQKIU7FwQ5H0IfGBGnkC6wHQ8EpVIWt/DwxlyFapaJOhJMO4hS6sg0C42kQVsTpbYGTf14pVPCzI9mbregLWRo6/tIRcDOXW4XBrCTkb5y8l9mmZgmX0qvp/PT5UMMGE9h4eoIseVIFOfAY4HpggKp28fx58fUexkkDV0BECtQB6oFUGNdHX15KnsbczJVNXXtrNut4kOUkiSI6CSFRSW6iNOo1aPAGqFbJZdc6UGWXdAvFDoHO3CYU4qrtV/MV3/z3+4t1/j5cvNRSdVXEZ2AF2CA09tT/0Ugva+v34NZiDdjpQMkECkagiA0wmhbUBdBVzF4VBp8N6wgHc2vtoD8O/s/fFUbsOfZMmasm1eD8WHXObEVXSdlDUE/9eH5pRXXi45QXQZ+6X7ZKQs2JqJozUtFNtpww0ieJIIElxkf3/j/1aKLkXXqzQopkBu065Uy5FmFxAaCs+VsgUuHX8joGKfNOv6tc1IMg3r6C4K2AUViRS6ADcBGO3CaInso5K22e3fk+Ypp7s/hjK+2MvNfRkTPQB/OX6/8BfPP8Pn/++BWUeQEzGuslX9oo5EsokplnAYtecjKqo/Xtg1HiKX433LFG86bRQ9+39QPMCS9DX+q/Hi5VluWEqeLuKZoHWYR+1/qxVAAwiOs78gQpcEMjnZu4nIgD0Z/5Mbb8l7iEKj6UQosGupPqaHbpoju6pX0xViKvM+vr7c9sbkJVF20Y6pJ9TOk/GgBIIUhd5A4DWLOEq1iIw0NtVbXyQrUEa97zdl4/ICnTT3mMJi/cvihpFG0DaElV8rffOxfeg3nunRKP2fqbf2BzwmS0Hy8X2RYwJa2pjjlo/t/YWPaHt0GOCv3z6H/EXj/83/NDLqdPOzOotBWC7iBd+q7U/2XV6AtzHYhmVOQP7lDobzIqLeePvhOL5QaK9Ku30SxTq6cyJCPq1u2633U5PthilDCi2xV98bv47AkjuaJknEhnBzHH7jn75grC9/U6x7BLXwKRBIs4IoU5Lxn0N1Xy8n5NpTPb8lVhQpBYJs5fy1Nu0nJUQjIgE+vHaeL4YZfmmxUwYE0QM1Mhm0GyFZEN8qW7cutaJo4i+90QgRcMH+RgyF0lyobM2J3gLh+y9T5/3p9GGhixkRVgbU9oqNQgy77PZWe6jY6SxRxcAC2UWt3hPOBk8jGP/+q/+E37xV/+Xz2y8ZRAUcDEjjxMjjuv/5slvM5ZBWgXXy4w8AZevjPb8ERFvaAZq9j3BOFkUOH4nqJ+K0Zm7uOjNdRVBm7XbjsXHrtSrw7iivAL5HfMMTi8wO1TShfc7QatqM6A5TeLwHj3uhz2rxvi7WcF/u+d1bXdc9zYpRWoFvd/XkuzyxH55aZ1OS1uTUNuOnnUviBXmBduDMGStgnJVHD7a2frs9gSsd6n7Guk9z3lhP7AnvZwNLNHO4G0Lo0AUWxgUGITKorAwvpTPrRWy8Hxvi3KNvffc7WZ64nWTHs44bzsL2kFDKdynePgZnFeb6LEC81NDWhUt57iP9e2B7KSdzxYNaLtgerL1QfeLLuqVKjB9FMgq+ENef3CS++///b/Hv/t3/y7+/vHjR/zJn/wJ9HyCC0KU58rxCntDemKavX15h/2uWL8tgAUoG2m4HWWxw9LpiGoiBgLrJ51Q5xR9WgywE+qE6BHxioY/9DESGvu7gO7kpysroRDvc+iI6vYwYbvPNweGO00X5qkH9hPUGbh+YUJXpmKrCdCZynV63iGiqO9n5OfEJPcVqz8tS8ix84AmopCLoDwVpD2xqmd0GtlqrMk4N05aZVLnwfjw7GSrTAxPTF7bnIE395BGYan08ZmowHmO6vQNfdMDf5G+iK4QOpe4rpDtN3qdLBsNvgHSmiERR0ih6AsP/oz9nMFkT9gvlhipylKDaseFV/Zy7RV6mNGOMyRn9ug2It/YB1Rwr9ArR9jg7kwKq6/H8Jku2iDXFf/8/L/Gn57+Dd+uG/7Tr/7P/L1tQ7quyIc8VHATZz/bwRSqg46MW3IFCyrFArG4F4CFCmFA4NQsKKlYyytDv6r1uxkK5Qq4DGAULflBCTh1+kbh2Q6l24KD2XMWNOHMtXok6p4vDamyz82TjpYNATCmApUHFdu9or3dkKaGu7sFJTUsW8G+ZSxPE/b3hWq4KqT2I2F6thEoTvk7MhhP153iOntFjPJxcR63Q3+lBD0ke259ZIWzG6r1cqd98CuAJdQcxeKJcFp37g8XvdlJWb9JfFV5Xaq9R3akDwsTaEe+krVopGVnkllSUNUjKXSqufdp+WePCe1hhh5mfvdl+F7zk6NgUGzX5poE/tm1X6fdzz9//W/xpw//G+i+Y28r/q/v/juuTyGNPF8qyoBWpJ0tG/WOvjht3k7BYA0iqOeCVjLvPSiyAGpDWrgvYk33RkAxC9qU4wDrVDSjKmUxt8OEgXUxiWQPoL07W6ejFPRVFJnyRJnJSFmY9G/nws9XjQM/rb2PtapgeUvRkv2kaK93SFaOMhOgWZFu/zjxvjcw0FoNxV0aEaPiSTrvqQCQbC0qWzVVTi/AEQVzUSlxOiUAsT5DLQn66mRF1gSxY9QLcbI16GFCPReiYJfN+jB57sYuGkSp4GjSasJsaWAzxBxy+rXwJ02IVO8tChGB1liCS0Gi2hkuS6UegFNTxdpPauv7aWRvlAysLGwK0H3485WFoSP3R1p3pI8VKBn72zMTTQD//M2/xZ++/m/N5Nbuz+2e06poB6DaGBlHDIJNsDSUS+OWPPDfyvOOtFbrn+ZYKexUfd7vM7ZTwnRpFKZqQNrZDrO8JtuLRUIxATpAkqFZhupAB9aOwhhQXJeYQFBhzBrrObTEZP7EUSUMxk008JT4EWVQgM32/ge6w/VNQ71jUUUmHmRiG2r7asP2hUCWhPycSNe8CrUg7Gwom7WsWeKMCZH0hC5JUsjuwAF9S5szcCzYzxOuXxQTc+wjuuqUyPC7WnHE2h/SskOeGvaHA+qdIbIrKc06ZVNz9X1dkT65SM0d5JhZbJg4rmoUfHT/mdbKYqzFeqIsqGx3FEHNqwIX/tvyiufk6fsd5WIx8Lr3mCkDu8WwM4D0vHKk2MKWg/3NCTV3RknaFGVj32V+NqFNKw6284T9jjFHNrFUqYo//fn/AX/25n+H/O4Re13wn/72/8StOwPivdy1U3M7JRYRF3iRvE0866dPgjUfsJ8UH/5Vw/x9xpv/YrZnduw9p1S8V5Qr8OX/a0PaFB//yYTL1704wjXmfz2RdZ2FtFPwCcpY2qnBTDAVD39Buzl8YC9vXqgFdPl6wuOfsMh4eJ+QFsXpux2n74D1VcbTT+n/02JJ8UGQCtBmxfNPaZNtsjNuSchXFkDWN2zHmN8z0Tv+jnt1P5PW3EcBGmvzTOo1x38ytthPBdevBMsXvRh0+F4wPQvKteH07QrZFR/+7ITLN4LyBBw+MCZaXnGfzh8Ud79uWF4nXL8i82N9LVZoMhE78019n/WCWHahrMqWmgAeBcH+qwcmq9G2IUxo086WwlZoN+ff7PTlS0XaKsr1BKBgP1LUUhNFpuZHxXbHM3j6pHj1txuy+Uxpinq8I/tg4r5AY3vI9MQ1bDNt4e7XC1pOgEzs3b4n0lsuwMPvGqoL2/5XXn9wkns4HHA4HD7/gaEOLrQj1jMRdFCvEkFvg1Sgoyy2uDJmpnYYe59ERxURgbf3TfUfIIL7sUdCX3ztS2GQEPLxCox/3/AZn922V0RTdxQUmuFb28QEF1NDmXekpFgOBc0obkQDNVR668Tg6GaUg3SDdFqR05njPkbExF8jFfblmvurJI7DGBMIpwC/eF6hPGi/FzTSZoH6/iJAUU/sbtd5vBY/5OLAi+Sr/87tWgzXGaiajTgaf/5jyJb3EKv2ax2pefbepAkpFUMJX/AhzM7799ARjoJMPqLGUfX+/Rje9yOv4R7H0Q4qQLLK/WfvVnSEyw8s8c9QSywQgbyMH5I8uLWvdSTHkEb+pdv4qIgLqyrqpMiHilIqTvOGKVeIKPZSsW+ZiMXOQKpVsRnDpoZq9i1NDNwzgTXvvwV68mbFsB9cM/8dR3pe2rzvcYB7Yur9kG5zMlAgY0/crPOwz9xuRmVyZ5s0QJIjskQcQsHW6HsutDcq5X72csEc//kP/Y4hG599htu4oW/DG/rHS2b/1g+NEmotkJOg1AIQCFwt1ouSN5Tyqrz34Tv7DGXEWrlIWVDT8gvb9beHj1ek2sVwotgYSNftPtabPYBg37jWgb9u/Of4vUB8T3OBlVmRDhUpKaaZRcvWEloTrHO2NoTeq8+2kWT7RG7PpTZcp1Eyfb4u1264kNHvxcMjsycSfStaiftYL2IlR7f7mv9Yv+LNa2TuDP42iipiwomKYB64Xfh9OVvF+/hCUwH43J5fFJP+q69gwfg1VaCyOKbgNQXho8xIL9oLfA3792OwOWOdDT49EO023EvtiVEgwf6o/H0ep5hf8SA0fJHbvyWz6n7c2WkJTHDHa3OxQYd4/YwY/bP5L7aHwIQ7b+Ocly9+nwKlIc0simmlX5aJhquN4/ZGwUjfg9FugM/vL9Y47sEuP41xxXAtSdgKFb3eHgN1tlFye/Jz8kde0RrkFHjtCTacVWjnY/itOA9hzDi/P/89P1Nhtm9vUlhyLtGSQODBdAiK4gbFdqbOi/v3a4gi9dCO0/vN0a+9Mm7JmJFkxgibphWQoy2VIpBTtjtpxNARQ7hvFb63PPd572PRcXz2MbbN/FsrcoMUO0I4xuSBJqvb5ugP+vU0113RofXBkq6g6vrnZBYZeyzf0WHuKYnPv2EPTdxL2hSq3GOawVFHdp9Ox2aMbxozufvYQFQPVPyuh976wjNOe7uYr4GrzbsdCAKxHftc3T58vf0efFKDr2nLCrExd10HxGy3siUQMBsAOI3AEsVQSRc7S8zGb2zTzvse//fvECvEuVYHx10hEOcozpqNeMyvvn0V1rrI32VrFa+HNHQJX+ZM3ZfsgB97/fEjhC5XpMsGLQl5qfz/KaFZpRkA8qVGkJE2Q/RUOIA+dVW/JIl9etZLyX7UiXQQe+AB5Wd0LnnrN52MGuRzrpwGPfa0eK9iK4LlDVFEP6DrXACUoD7L3ql7vkdqGZJh8LNdyXB7pdjvGvTYMD2sKFPF2/tnZFF8OmxYtoLr0wx9P0OUDe2axTZjsgHkrNBReKMHkDplVBOqyh+Xm6RQD6aufN2Rnq9EGd/coc0ZqaSoLKa1N8RD2Osrh4lV6ZNV/p82Vr3OU+8HmwgX+LzU9PHCESorUTQtuVf+beyFHifrISFagwRWZgCk1oPo/GMVGQ/+hO8XZQ8XxxZtVEdMQ5LjazFZkrpXyESkQo8UspJaifzlFEwCRzPysrFP+UDhohjP4i9PHmxEjSiQHpfPAyhDCQKdm0oP9gE4zXwcueOqqhSeYv+hK9lCBQ1d2E3hibWa0l+j2JkhDS1bAOFjvJYR6eqHqlfg01o5HD2QRTqx6BGeBfupS9IDoDDBqwbc73h1f8FcKr44PWNOFesho7aEv6sJz48FrdLhI8FmPgqKBV7RXrBr9Cu1QwbO87DmgCtv3iR1Hmgept4XZYFyWvdY67Ald7SniWjlR6JBepzQDlP0rCrMltWe4TizNgl0mm7sjf2/2QKgBqwNyYMq758sGXmrnYI3Jg/gvoJqT0IcLd4rUdzWwh4FuEFzneEAVVLMm0JKpuCOi3ABgQZh23uv7stXZY9k8iRc2QevB6Le+WlD2Vv0y0VsUhXlUx+NEbPCDyxSujp37NGEaPfYT045NEaLJWgtAduZd0wBQ4nxXUHN8ZgfoziHRjFGi9ETDbmK1ormFGzFfsxxxjTv2TsI6szew3puwMOGL9484TRt+Mf373HIO94tZ1z2CX+NL1A/OSuJSMHyIAByBMEe1CUTgkrLjnqeUe+GSMaD671BlfakpjEQa+o27OiwIV6wACI54mq90D7PN0YaWS90+AIL0ONZTxkwn+3oclp2Q5Ot/3PZkZ9wswfSxRgLlsw5rTaYMgAR3JTDXrhXtj4Krth6jWri1fztyQrssQ8TUMD3Xk140Fgu+dOCVMjIQM7GpmFy7q92PgAhMkmUw/0rABtpYTGB9RqXxy2K+QCChZT2XpQrjxVpUdRjwvaQbiiEKrRP0jDZ27jdc/2mR/uuSbDdWSLigZ4lNPtBolfQE26O8UIE3xBjgq0N04cNEGB9PaMdbP0t0fDiQ15MQ+VZsEtGuwPmhyWKOKrAvmcmvJNAD0Kx6pMgW9LOHnJSRYPO64lvQqjdqkgg7Cz6aAT6aW2YHsmQ2B4m7PcT/93o5Pv9TNTMRRkN0b6h4IrdmNle2lqwF2LEmvUG52ajnpaK8uHCazpNEd84YpyXSr2MQybr7qrIlz0QVAiQr82eLfdYPResb2eUS8X8d+8h2450OaFZ+wALsQrNpe8XWD/4ghiz9VmhFwBaQ3mqPVkqArk05KeFfsPE6vz1+q937F8r9hOw31FHI1+B0/dE3j2WHtujPAm7+5UnPGABryj7MjP7JAHg9Duiq/TxtNFv/xcF9agol1GoyfpQra9zeiQKuZ3JJpAqEct7L/r6YGKW6LH7+sqQ1e8TjsIz4/zr3uNa50z09I3i8E7w6q/JovjwZwn7PeN5qfyM6ROT4uuxAVNDu282+EEge0IVYL8D0iI4/RY4fGw4fKS91aPg+ob7+/id4vgdE93Hf3IihdrEtIBeKNAhfrrxnVsfC1YWRW19PdbXgvVVRj0heomnRwrBnX+7o3zaLE4W7KeC56951p++35EvDdevJly+EOhFMH+089U0bcqlYnp/xf76gPWVCeg9Eu3dzxn72ejHVijgdSTka0HaGtbXGduDhIL2WOSQnTRlqcDz1wWiJdolpBKxZisHbdz1Njw/A3gNAJWu86a4flGw3fPAz4ugXn9PdWt4/YOoK8cojdaYgIigWnLU1ZStFzSqFjyUeiWUFQgA3WG4snDyag/ssDdkyKg3UoHklc3dkoA8VNCD7oOoljiKWicJJw3VoP3kRZHdkVpF7YYEPK6vHTqpWuJ9bJBjRZkqplJxLDsmazA4TDv2LWPPvRKkBRG8dRVT7YmRB8Iu1tB6AsX4TjriDXQUPNP4dRMe9vYziImYCNg/CTr1VhISDB0dED6WfWCBSLqtpBu1VEDaGEcIdQftlLo2346g6Wv3eQX15iWDfUCIPOXExOG6MJg/HnrCATCBtR41V/PUnJlcVIRdSUpmKylscfzezxBBr16J8uBxKugofOSKoDb3MT4z0FkP8m8/X7NEgO3OwA8csaB/rJ56wCrNZvQloEaJsCcKKoC6eANwy5bwX2+eLAzPdVh79j0hKr5S+f06NeS5YjYbP+YNJTWUVNFUUHIzu6FjbQ3Wc65oVaAbx8WkVZgP+JqUFBV7ojJWwmVpLxI7L/KEQIklssnE7dSDniGxJ+2fwRucIike0JsgUrLn6891tHcZ0OLkRRUmuewJN9vywL7a/lBTJRCBpkFF1BPPWG9eKEdOCVBrL7b4deQXdtkGgalGahsfp/1+ycNztj8uZiXpJviPRL1JXJeo9n6xrbJgpgWYb48Pb4vQeQIkA5PbjgVQA3LjVe1mfrplMEj2wFUscLd50JyTq0PhB1D1ZNfODFX4yBI+K0TCpXHW8Huj378pZLJkRHz/9evTwlEKeWq4m1fczwt+dvyAU95QpOHDdsQ873jOFksX9q9qAeoEItDOFtDu26O/zoL+YH/4uei9puZzXWiP1Wyupxel3HYA7T26A4o4vm7+ntALpZ7kmp8MdNm/Qi2ZaoY8GL3fRa5cbI8tECnsJu4rvjNZvNAs0e2J7A/6W48X4mzTeJ6iwuvYjRpaCvf7tkNasvtJ8DnDN5/vvdhiNm8tRtX/rY0js7y3rd0wGxjYSxQj2KPM/VOPbGMKzQSzacASNLuHajFKWnnpdeLWAkCmlSVxgMcICOQq7YKymO92FyWIRD1ZYZv7vvvAMBm1axF+VtqA1gQpKVJqsY1aTahCv0hESgJRkwY0GPrlyL9tS4/NoKBfzKmLf0Lozv06mo2CysJibwKyCveJBc5spbL9P/EzXCjps5cVWGI8pZ8tfnaY3017A0zMU0qCi0NFAa+1AY3ifeTN/bF9hq+9JfVeqGZCXYHrAkkJaa9WdOztYD3G4xrIPuyZsXg+2G7aOamiFSt2O1vIWEYjO2d63CH3HD1Wj4aCCmxGdAOQTQhI4/OcWVAuGvFo2hTrQ8b6QN/mxeZyVRy/31GPCetDBo7A+kZRHyrktxn56s/Iiu/eOWMo5H60OD1ZQtu6jWo2HYQo6vAhsJ+TCaqKJdCZVFaO9FFsX1Tka6GauQL1oNjPjXR7Qxh9CoWorWMxcastQ3VolynGSDHhNCZh3nPM5DEvBNbWO0v273rBzIWXGjTu39kJgv7c/YxLCYGGeq9vnRF91THq6HlH/rSwwGlnRKpEZPOlYfq0YnlbLD66Da5pN2xPkd0BBfu3qgByxKDhfyYvYJo9Ta4lgHhGGOzHkeP9yH3hyPb8STFdLMld6AT0OKhm+/ZyTaRqZzssjnSA8w/MXv/4JNc3X+OB0s42SF4Z6KWtGgppiYeJRvDbmVywMjY4KjVFYcAq7F3gyW+wZettmWiwukk4Ll8kR2xDIMAAGCraDZSboBBIP4i0j1fxPsr9fjJHwEMvK5NxzpYD0ATTkwApo60Jly3hWhr2mpBzw7YV1Cqoe4IeGlrNyDb03eP4OgnkmNBUIYfUDc8p4Q2QrJzBZpV3l6PXxEHs7fiG95lIkwmRDw/KnbZnxYNmdDveWwIeDr0Kbw69HSe4gINUfj8TPSJNWrrQTyBHVZEeVwJO3n/tjzizCJL2Bqy0B+9Hc1tJa4Vcd6KSwzmNlIBpUN+99l7g6KnE8LsAEWeAxQE/bABIS6QCWxIv92e+/9MTpK23pu6HSQVkZ7Dm4y+IJto9ikfdKezNbUorwN4k+0w7mOoxox1shJA5z3qwQN/XzAOlwelLkx74D68+ewzYIFDJEUw4c4G9NcxAY+yRSChJ+h6CAHrtCSrASp2sCfVa8LTMZCjshVTlmtEUuFzmft0eCFigVptAakJ2wa2wZRMcs6DZfQXpnImBsfXrtmPGWARBUwgcgZ7g/VhoDVpKJNGBVB8n+ibxgAY98bT9ovNEu6q1B8tud1aBkGWHJAsyvIAyjh4KmpTda/UKuf2OMR98b452e4Pq2jXdvLw31xHioeqvTi8a368K3XdLDBKL/tp9r1rBrB0KZGtI6w5FiyKfpkS69xgwboayi4T6tfdZ56cNqSRsr+aYQev3GeN5LLCvR4DjzvqMT6fYswfcAqalJ7BxoCqMdcB9kbeeDHh/oo/NCvEkK3bwPAAgQ7uEFUKJGMn/j7c/a5IlZ7IEsaMAzMzdY7lLZn5b1ddVNcWR4ToPFPJl/j5FyEdSuofs6Znq6qn1W/Lm3SLC3c0MgPLhqALwyPyqSiSbdJGb92aEL+YwhUL16NGjqDngmhOqCv6j/gopVFzyhFwDSgmox8Ke7JfY6IA+s7cHsETJy90EHCdjNvCQr5PbtvmYEFDvY0uS/OHFawQBcteuqEtqP1Nh0lUTqYXlOLVzt/X8NnDH3rzRwxjAhK0CZys7BO4/8b03Piyo9vnsriw67qOukTD0no/A7WG+TULdpqtCHdjys30cNQQQwJkMQRsrwLYX2/NfJdDheUV95NntgkEIgBea47UirsUABYIg29sFUDKPpKipsML6E8MNFf4WmB/iD2F1RIaKDqmVFswrqXm+B9yuAfb+1Vkau6wGYLX97qA/QGBljxH5dGfxA1oc5I64zQP2c8SYcLIJzk8LJCrSxNaT6mDS2Pfl//RrNpCf3+P2eRRmMnbca7bQFJAXA+GGZN1bFYqtKxML7eelVbXHlg9vsagW9Oe7hDodEfaKdM6A4qbdCwLUqpDjzLjDzm/Z2XOoUzQmWjCNBSFb0dhwLojqFaf0tHMSxZoQV1a79LhQo8Tm5TaF+2JgjNmmlIhwya1Pt4GBIsZGsOfliunjGQgB+WFhD+9WmKh7D7v0Su7Lr2fU96H1OoYdHC1oIw+5fmKxJ+ACbL5AZHFRSbf9tKJR6veT4PLthLIItke+z90/AyqpJTyaukJum8Vqf+okKAf683yir51eeI2HHxR3/2TPGwAj2pTg+TdO7+Rz9vsOAs0/8Hef/zcJZQbyfYXOimotPnUC97b142IPwDkCWSCTQmdmbNOzWMVZUX+V2IN8YIX68Ln+eM9H7oPlo0ITsL7jmTQ9s2+ZkwKMAfFuNj/yyjftitP3BHzO3wbkezQfooEicRoE+PWC9G5mf/LFVKFt31y+m7C+Z8xz/FBRZsHXv+C0leNH+rDtzYT98Y21jzFuevlVYn6VeB/mr6wYQziOygsdISvml4r6gb21m/UQ5yPjVs4g7wCFCm2gzkDeBXFjvlZM0yBdqcq+3Uf2By+C7Z7vc/yBzInlM69xelYcP/7/oCf3Tz68D81Q01FAQxSGFFSoJsZBdtg2pUkA4ZoRXq5MPJzealTmYjQyHZJbH0BdZ0fLaQRd2RENpfQRQk6L8/fx6qF4vDqgEY48u3MNNlJHw8xDpljwr7yJdRbEYwSgbFwPgroLyi7QSXGuwsS0CCskAshcgDUYnYMBgaOwZRa0Piq4kJDRfnZ7nxSgQJOh9x6qMkeiiBWNXkWnEG9um/dItWAzOcXQEXzF9DwKbJijXwukVkqkxwjJkT25w8OpzeGyU8AHaMG+Jxp6d0A90Gm3GbyWiOpxhtZI21m3VtFogUoMjc7XxKUAzkgN6ImBCJ2+KoVwSmmVZ6i23s+WBKQInQ6Qlwvq5zNqufYv5dXZjYeQV/raSCerQI7qv+qs1oGVIAC0WqUOaH+rzG0GnIM5ZZJ26NzEDR64VEVWqrq2BHZ4+HupuKgVmtIebVwbsEGxi2KONLSAySXyE1hwySYmErJAdoFuAduWsIviuvELlxzYr7j3DKT15tvBJlVR7Vqa3fi1mJhN6/cOgAaOLwlrBnYAyXzEaNMWBHFObbJrL20PtEDd+0GmCCRtCVtTPR6D8InQt+wBaqJQLSH1hLJWiFcTPPnzYN7n+voe8OeLNEVlVhu8bCP9fUIAUHoSOlRcaWNecQgMhGplNcs+Azl3AS9/TwDIGbpnSIw/TpqtMl7niOiV37G/Pgrp3PZ9Rvqmz+t2kIqKt9y/HDjvyb7ZgVdxLeDIBwYf6SqcF+jmrIbcTmLVBTs0beTJWOkqc2fmMACh3cdVu8+2tWtJt1W7RqZO32M837QI1j1hyxFP165NQVqnQA6FlWUL9n22sAdmTAJod/nIMRjxWhEvuSlTAmi6FuUuoR5ir+4Mj1YFMCQeIUBP9N0BlSZj1eDG/inKYlaxmekZHZDzz65McFFBYbCXCyCCejoQkLbe1xt7snNHroXCfw5witxqEgCQdaNg1PBaPS7NR/MmWgAHqw6P7zECPl7ZnhI/c88dyCy19ebeCMqN3/Xl0qqpgNo4P95nAPRB5x1IAZIC6iEaPVEwvRSqks6dHcBqlFVNq4Mw3W97v6AGWEWo260zpdRBmTEpFbRqSTFl+yCW/IpAD/05EII7dXVFcN7L46fKkXHZPkx64OkjZGCJblgDykuCJkW5Z0UXKp014dc7/j0AOcDQwuC2mgAkinimS+4VfB3iFasWNlFHkVa5AoCwEmgLq/9+YuXPYzUHkooCBhbvDwnbA1vAls+hzcOlnRnYNYUOyph9UETzChwX1OMEVs/o48J1p3jaFKFHJroOdsyfKuT5wgT3yrOQr3dxPUG8ZoQLk1I5UxQzTGwTCy9X/sxH2IUAXdhS5m0u4bJDvjxzPeeIqoy/WGgA98KAeF++C8Bjp5Qy+SC4FvYKKfTlzih0W+YaM+6keFJFvAoOHwwQnDzhMgDmINge+P4Pf09xqPN3Advbzrx0RljrLxWL4xeAUxkIkISNcfHhk+L+7y7QOWB9ywJTPvDeru8F6zsl8LDRlrc3Cp0U01PA9BUoR+D5t5VsnKUCkSJzBEulJdzud9JzQDqzElxOBViB6QWIV0U5kla9vVFs7zOWDxGP/8Dkcn9MbT6tRiCswOFLRU1M/CEUzzr+UNu8da6xzY2dbwEEyYrlM33Zdn/A/tBBGY1oSXKZ+frlS8ABaHOjNQDXd7TNw8eK4w8Zl28Tzr+m/sn8rEhnzsbeT9KUj3Pivc4HYP5CSvnypeLwuzN0idhPR/is3bBXpBfgWBT5GLDfG3vJzuSwAUm7FgUM5CszEBdSy33fhiyYninatt9Rx4XgBwHBwyeOJ12eKqRSuPTww46y3xah/tTj5ye5leiu7ESyb/qGAIRsm8iTp6otOOVYCVPDTRHq1Kwg0DkYIictEXPp/e2xl/E1gDMhHZH0YNoOjqpgM3ZgkNHiRUUbbt5K7WqBidEUKCYCXq8hKY0a9Mrh+4EUr4Y4KYM4Pi9BA+kH/fVUnXUkOKhXGPghUkiXxusDIwA1hjafr/VnwZ4r/l3UKMnagx2/3iEh8uS2zgH5aL1Hl2p9Pl3oodFojJLuwS8rOxbYD9UARqFDNavYARNSTyq8p3KKnd7pFYYUWC31ipZRsFuPJJiACMDAvqrRlGMPvmwu5I1QVkM7fc06XVo9KVGFzKx+YOw98+TWH17p89/XaqMLOvDjn3ETYKk2YEJTskpMVwvPR9xUch01bWML1PIdD+QLenUHuOm7amIwdo4zoO+3A+i4AOctW2ILoNr4AyaPDN4lG51tFVKRNGALS1PlJN0ngA0tAbIJ4jWw8usHbKadkApkSH9GC47qElurQ9iITrrit0YbmfFKeKeh9LDAxQL4OkdIslmjN3R0oEq0oNKolpEUSDJdQw+8vdo6VkQBNOVnf56BODeCCG77o92UbuuNQvz6MY4pihFNVOjmOdoCec35ppJMWqclvTc9XQqEyAQ3Rpauav9ekjPC1UAnox/LNByyQbjnfP+qdnqc94G2NVWClrbu0kajGGNh6T22XuGvM0Vb1ezUBVKkgGIzsN7E0AP713TO8YfVWtSkShs1pHZOUOUaID1dIFk4U9ISjQD2StUUkPOEL3JHFsZI/VKgrhFyjUjngHS2Sl3VBhR5cFKnABfbY+IuqA82TzMI99wUSc3yHvI49NV69cvmtNdZOyicOr04oP4EswPwnkWnNMPuYwMgW4uAAZmD6Ju3WsjgN5ELXHWZATkDevr17uPaY/C9zU/bud/OlZ/aE21f6W3E4kCQjQW7UYP2/RPsHFo36DBYUQ8LAYld27gW2d2Q7B6Na2i+tFHlxWzExkXFK+29zAE684Uh24iTk/Q+RqEtunBfNYa1U3+dQn2TCBjQ2faD+SoAzdckq5qkCysiKsN8cptj2xgFRtUMwc6TQCPNWRAOABCZ5FZBCcoeRfvDJEla9Teu2uw9L7dGV6OwjcziKwbosQONQGPqsSJsCbXFdQz+xWbQ23ewfcH92xluALA/zm2fhMxqVZp8XrXZ1SuBI15DT/QgQr9nOgsdyNR+nvvam0J82CO02Ps8nAwsNTBIAjqdn2cFxRbDjV8WVbJgTgf4CDxXP9cYmq+vc0K4O7JlSxlDIwp0mbvPGKnNG4ANpHf71g3sbYb5YTWQJB/6urYlin6fBemF1Fyv6svU7z9EEU0TZHvsBaV4IUNn+wV/Fze+3/bISQ0qwPKDxfcP2go9+Qisj4L4qwNH7NwHaAK2hx4X+ShHIRkG05NX95ngltn8ZhVg5VpPXwPSiyVkB47PoUAn91a8AikRPIsX9mCHjdfTNIAMuSoz2WhN/8EAfKhyDrWfe1aEc7pv0w/yglxBB2kMINvvU4slpmd+NivBVFVm7zLfc3sEyjK1/R0yQd4abLZtZBK+/MDryYtA30eejcNDqlX5I4GHdRbEPeBk8Zj7inwUlMPUphHEoJifuJYhg4DBVTGd2ZKZD2Qbzl9ZVPGiXcjUi3FWaT5apbgAQRQ1M46mLSWsD0ymRQ3ALa/ioT/x+NlJrtrolmA0N8wJiEA5pJbshd2QrClYzmfiReedc8DstWo0k5oC9ruEOjulTZqEdDkAl19W1EPlsOmd6ARe0IwHFdAZPUCwgynaGVcjeHDbcGx+EfN/ZzFZbQbwmoBOFvfP0JZQ+pzatCrUKgxh51wsb/AOT6En3rBA36lItnFSvVX+DBkcBaDKtbB5dtVg33rkNeUDaco+bB1AQyyLHTotyZV+WHIur6HDVuXeHtjQHbIiVljyHHpFbC0UCqnKYCUxQS1Tokx/tlEu/kU90MgFuu+cUTr1JBe5ttEqIVTIeaUjd6Gqqoj7UIlVJVqfC4WkjnPrzwXQUX2n4Xm1wIOefQdOR+hhZuBjA+ZhEv0evEMEcjpBagQ+2g3xA2/od9EQoCaQJFYxVNQ2t7dVuNKQbLsIhgVu5cQK134XjepBxJDIPdgDZQhr2GxemwdZahXV4j1GgCvQqXTUtsxolJjSku9bpBwAZLHKUes7AYAAVbGCDWklVEnm4aFRUJ8C6qTYHysV/vZgAaAYaszxQZKJisYNTbERoKgVZ+lZQm4oPlkUcQCtfANZBcVZI5UbuM7xhpHA9UgtKGyBqfBzqwUDcWWFivNG6T+A0iqYBBJo+w3osICdCQMIkPzUo9E7E+0C2n/mlfdX/dntRmVW6SSl/rn+O09OdqMerytQFdpYCpGK0SlxX4iYwI99nv8sBshYIb5ukPKE6Am8gzZAS4QUrHSxSobOYEjWd18VwSqU5W5CE2nLihI94Ke/YYWLPjmfiLTj1AP65RN7ttPF+p6MFsfruV0yHvqvlnGR1hvFPk20HkwGMAU+P7OBb5UHsQZg+QGYvgL5FLB/WVCTEq0OrCKIAmlnEBhXUuzYx4ZGM21J0eIgInu3t7cztkcGD+lSKYa9xA4Ii1e6jdJ1KYb8B1ZQJEIq17ccbQyTBJ5DY4JteZMLY/l8eVSO7QLQBP7InrllIWiMrORWy1RcDA12/ouQfXNc+PqLZVDT3K+jwqpMCh/zdUPjr0CjF/vIlOjnVzA71JvEAECjxyNKS2jlfOWeMIBH1w318xfUQS2/vDkaiFEQSm0AQnyxarACPt4NoA8IqxIQUe6F0JKpgvR1BUJA/u7ACqoy0MuLYH3LZfOkmS1WvUXCwe0b5oL1AjpFkdVEBXZ0Wr4lmaHYOJEdmF4K+zCz2bYA+X7mKC1vd3ImGnpCsz8H5EOw8Sjm1xvoYYE6fB9ZMLxzXMh0rnztHQN47xPWKCixn08j9bq1r1glPI65p7PLJtp/Sp2F4YC+ZAPjLTHIh4jzLyZoBO5+t2P6mjGpNip6Ou8G8MlNC4DGgHwyobXWilaRtsy2i4nndnzmSB+18TAoinDdoTEiWf96Pkbow4TpaUf6fGmAHgITZ1mH1wMtTvA/9TihPh4srqRPykeOIIuXgngtwBxRT9Y6theO3UsB+nBAE3MbHCOTD7VY2iuqwH4fUPau/8H4mkloeuE9Lgfew7gB8kUwfVXc/Z6078t3CfnAWabpqshFGjBx+QU/6/ABWD4rnv6dYP/vzihrxPFvF8QKXL9T5MeC098nvPtPBWURPP95sJFEinLyBI5+rRyAOim273aEUwa+X3D4ECyWZayzfKTfPf9KsH7bkWbJQFqZK9z/veLudzvOv0h4/q0AR8sPgiJeBMtnsjHjNSBdgfkrR2Wu7wX5ZKP5rIaTDwQxfA3r5NcpvfAE7hONgv1ke3bT/ndVlCmgZkt+bf7s5VtWNNNFcfygN0y9Rkn+JiCf7NqOiulJ8Ph3ZInsJ5rB9VtBOQjmz8DbvyHt+PNfJ5zvKbzlgnfc1xzjI0Vw/U6xvaW/v/9HFnzitUKq4PwtBaeO31c8/OOKdBWEnKCBOUs874jPK+TLM/TxDuf/5i3KHHD4TD+QD4xz+d1Yjb2+n1vPbuRE0NbKtr6hH1rfC4WnJODwQ0B9jeT+icd/lUru+KCK4L+SYYtAYcblbTRD4D8GfO7kfZSDJ4XsE1KejYZotCTUX27oZXsvX5Pg19mThd6Td3upLvjh7yd/Ipj1mXRtzEA2QR27Jih6q+ZOGsTYJxz8IDDBCzGHrhZXONoKUHSgWB9LnUx5eu/f+0fiToaOjUieBPuq/rOx0liATuuzdfF/xwgN2gCJjjzbAYHhtYbYC8Beroa62+FpdPWRms0v1d/DqdNtFICpat6Mb3G6m30HHYMnfz+gi28NdFT+vh80LQlNrzLA6j1iP/FoVTY/uV+9v33Xm8ogYMkNGpo6ovZMAtV6Wty5GqXIKWY3H9A/3h+t/yWioXYifJ8aB2GFYs91RL19h9vrV6OitUBpwDSCCsIq1iPkDtsSXZvp668NhfeKswz79+Y/+rVUgEjpcG+bUE+4vc9iNLyWMPp6Jr7eRUEggorbxePoHzqCn/Jc6hWs1wG2gQW398EoiX5tbnOvacGvHz81ymd4z/ZntKubalcAQm1OTryKAD8cfS8MfwdAS/2xivj4XUyUjc9/ZWDDJYtS2VkateXVexlC7T6+tZxMjpIzweWIEgAmBtLEL9p37r52/Ln78soCCFyVvPmV0dcbUHnTz6fj33yOVh64AIO/sgJi6v0IVvk1Wqnvh4bO+5K774VAIzdLG5EyXr+BjxoEMlRm+yiJWzYOEwEmvDBQiGeV+WZ7jtPFGksogcGw38pRDLLdV+mLHkI7L5tNDwDTTS+tMXn6PRlsNthnpVc+eABQGlOj1rZX+5u9dm5ux5V796dMuFV6f3rv8ayt8BnBAFoCooN9uIBW2OvNe92cWc5ic30EO9McxNExi4P0mMCqOMET3qGq0+zHK0La76W9TbPr3rNH0c+IygoewDjCWWXafflPr4lVd+1aVMymrRrFNe/X2Rej/6xVu31ptNv2j9bNr9sSwq4ezS8/9m8C0pLkUH1foDEeOo361bmtnZH0Or688VMVEL9qs/s2Tm+ISfx1imjPAfeU+8k/BXiKnUEhcJ+6KJrHNulPvG58PQCFcrvkCuRqIM/wvOHz06Vif9PXKphWQV56mxNgtmVMQwd6q9uNv04J9nm7CYs0gryg0VgJZKixcqzqmprrb7GI938DMCV7aUxJqWjjtLyPvY8KInU+DH7a2WGsEtNuvKqYLqbjcJUG+v/oPLFRWS3+ij0GK7O0GKXFPlkM4EdrK/N2hGrYXReYwrA30eM2MaaCVSUBfm6+i8Zy4poSTNJXNHKLj1wg8dX3AfjcYuBxTfxy00u2M4E3JBTXriDjxKuocVPOet+sSLFXOxtjr5xXByGm9pm8F5zWAYC96AvnQ9dJWiU4FEAMtIYxEZqJWxGmCRILUFtcDZueQ59W878SU/ke+Dc96196VEPCrUnfaYVQcEyMHSISai8v+2Z9dVBWq+qR010hRVDmhHwk5SffMfCHqW/oUqEHYDdqc8jA/JU3Jl4U8do3O9Eg+ZGDDYYCxat2A1S0HpFW0TIKp/c7AT82ruaYRRCvRl2OrBbr8FXnrxzwrAFtmHvI/Px0VUQfMv42tQR/vNZiFe4xQYpGmwoFCIYQEXlR5MSN40k0gNak7odmyDTsuCritTQFwRuF2ilyNJQA9ZhszSvEVBExWbJps7/0OJN2vBfIhaam88QAzxPKKrj10GjjX3SiuIIURfrK/pV6Wkhv3nIXJTod7B7wgJFaobBgyXsjo0W/pUCeOEIIMfZgq7DajJyBacaP5kluKzAkA212YiYtSQNpak7dH+l/7bpGeqeLoHlV0p8aYEPWFfvbAkwGGyqs15GjGqYvFCDxQOgmIS0AAsdTVBd8sIMibjxAfBh7tCRCjdIpQdrQ7hHQGak3QRXpQlusswAHkG5cacvxihupfE8sUGmncesjjW7fX43WZqrnLQDpwX0+prZf4rVaywOrFKOKb1PxTHxhWXwEkjbRg6acbrgGNjSabdcZsOB7mW12snbVbK/Wm+BJC6BEoAvRz1b9N3uXqt3uXBAgjmN+LOiJgRfv7+m0Z7cne55XkGWheI9E8785Q3Nh4nm+9IAfgCs+60aac9VxrgF4OJmgz416btXeThKE1eJhv/t+rIfUxmWElfoLeiKzp0zCsRF3HJWST4r8mw3psKOsCboHyCViWgXBZuO52KAUMlaWL1b5PfbgjWtuSTOAeICNanED634unZ3BYWtn/w4xwFs94ua2YTRNC/RdUZetKSaQFQkW+VgRr5Q5ap0Xe30VSASqi+YBmF66T6lJgIUIdT6F9jpW29R6sGw8XoKdmbEFX1A09o4/wg6ES2kVA40B6VoglwwEoWCVqo0Rq0bR9MjWls7V5z1pnRMZLA5KA2Rlnc8dIPT+bKfvawdGZS8IX8/82WHhuLYoQOQYL/X90u7dqz54/3/bE7JK8yHiFWCZaL8pQuYZ4f4OoUbgs69LRXC7T4H07yVifTuxIvFUEC+liWdKrphNm6Na6wMFG/n/25vZKm9UVS6TtVa9EYreWOLH76CNCRB2+vH5i7NeugYHQUgAc/ffnXbMvz2p9ipRPkZIiUirYv7C+7i9SSgT++7Sc0GdQ9P9qEkBIR3UxYXSM9qZAIBgZTHANXgy00HSvFAs7vC5MvC9CzfBd7rC/CMao8arX96n7j6FY/Eqz6kYKUoXgHLg2ZIX23sTGRPj2en0bKgO7W4B1WZ3a7X+WRdAtc8ORQFTzkWl4jI1YUIDhMTFoqwVq84R9T6hC9RVTJd9qKYCrW88iLF/0K5JUmC1OFtLyJ4hJbVqMVwgS9CV1AP4/sWquF/PwLZDTweKKAI9IbfHw98+4dN3J2xvyEg5flCUCbj8gtd1+KjGkmEfpiZgfSsdXBPSZacnRT4Kfvg/ssVn+cj1vn7D2DyuwPTVYssZKEfF5Ttge0NacP46M55fCDgc/yBILwHbW+DDf0/wPK689ngRpNoTzrCzSss4JyGfIgWhbDzR/IVxelMaF0DvMsL3E978L1455X3MB8HzrxP2B7uWAMTnYP6X332/V+xvK8JmKtkmuxIvtkdXxvfFxN62t6YnMfO7hs1BKT6nFd+KxzisWO6P9OPphRXb9THg+c/7viEAwQR6exBsbyyW8pnEBv5Q5FCQzv3n+yP7h1sb5lUx//NXIAjm336LOgnmL4rjh4z9IeL8iwBUYPlSu/DXB8H97zLmf/oEnRLK6S00CObniunCSvKXv45IZ8Hj31VMZx/DJth+/YDr+3coi2B90yndUoGHf8y4/89foYeE/XFpCvXBBPUkA+vbgP3RchuL16YnjmqSyupuOb7iW/+Jx89Pcv3h1bhBSdapOH7DXBmv1cMC4Y0RbSfqIS2jBwytMETiZkByAJAqh5Qvak4bvKlgkNOqAUCjKbcKr/R/N6qzjEamN8lDq4I4LDV+fX9PvzQLdrxRvFVMQaNMlwrn8DeEx9YoFNL6XGW3XY8F0tXe87bSYf+fbZ2zoA1uHtbWe2OYOEt34vqqClHRUU5LdH2gPcRGRPlh4V86CrSABaQCE7BJBOX32J8jgyoi0AMaD6JqZeXXDwStrUqsUyS9udY+77b1Ddf2Xl459WBILZsTHzmBxGTDEwgLmLRUSHzVewmQBur/bhWNV9du3/vmZ/79GoCiN+/jSF97CFCj9X5NFWEp0BI4lkQradzDnvqXHjV1JwuxexLcEYpVON1ZSgc0Xn/34frczoO/V1YmI364CA+esNn/D86t7Sft/z8qJo6VbA1AxW1/a0MwHfTZ7cJMGRBWrW1J2LimiYFnuxarWDgq7ZRsvy/t1W6TEVBEiFRo/XHV9UcVAq8ueMD/up93ZKt4EATc2s6r+c+82FcJrlHwmi375/nzAKglCOIMCH+tgzsl316XvY8nJQDMH7yyDbP3xlIYmRPmW5vYiwf45r/aGLgJWO423B9XfJUDdiRgjbc+erALGVUbtdud32c4aJMEVbT79bbYQB+TYN/XAJ1euTMfWkHbNlsPG9fA3y9eCdrUJMB8+1mdXmYBo7qNePJgdNdN4WBlA1VUDYkXqI2W8O92M1s7AiJDfyIGv25Vv3ZeVsBHEzk1VitbIW78VOxgSNv3ryuhYu1FA8tJdOviN66077/X29cy+yfQgmW+sTsVvWW9AHyuV31HNsz4PBn6jEVagt32UUpAGcIdP2OADmQFW/MI1LMguOo20JMXMT9hI4MAZyb0Kq63W9RpqLbEHkvopFbJ400NKu0c9+SxV13x6py/fbSq6cDaoQ0KkrFeXOvB4yq+zu1IWotLndBVUYGmX+JMBe7BIZ5wnx8BZK84vaq+ms/WYLGfAa5t9Ij5eAoPGTOiAUx23gjaHE1f42ASBO5PvD+VMZwpYsd+vjqTh+rK/gX4Ggc0ZS+tCOAzhT1p7gveY9caAyQoZPOe7g5wt6cP+0CdLp2sEhgCJGqf0BCVdobKSjoCW4fUW53se3rlt1gsY2OSbpgH9pCXq1VcuZBsw+iaNtVa6lycr1hS1f7YfQ47oHfA9qYCCkxPgeyWmUAlVEjbdntIinoA1EAK2fw7A5oU8cpZqfuDID8W0vdzQKhdi6E6uKO91TBeuy8mo6yPOXrNZJMMzE+cB+w2ux8jypHgv7sLjwMAdEr3XFGiIO8C2XslGJksglD6GpXZzzIHcszWZVjHDcCwL7zvuM6m4aB8j/2O50GwxM6vpy5AOdn93d3epe2RuNoZYMCYn7FAr967aCp1CGgL6VqQ70KbSiBWiMDZqevWphX6XgoZLCokYH9X2ZY02f031fF8jFgfqbzsPdQtJqhAeLmg4gh9u2DUDPJqsNTQ1o8ANzBl0uM9liv6Ew7xJx4/O8mV05GOfy+QKF0JsgkLRKiJDXgZ2/sUWl/dsCnDq5lnUqzBUBlwlKg9KK6guE0mVTIYBegnr9OqpCqWIKYhmBZKpDsNE8o5XJBglU3vX6XjZGDfAxgoGrouys8pM5Af7Pf2HClAtM1xfW90YwMFotFhq/VnellftVMJiqnuNtEVDCInJnBBWklACIp6dTETVlCaoqIfPIIGSriiLxbB9X0ileFSEbdqM255D+O12KaqwMpKveR6Q3/TEOncTFHwNRVTvJoJc1LPK7xnS02IhGrLGcnn3MEODAvsm2JxDKinPp9XFKwslQJRuam+tqBLBJgS6sORFZx1YxU3BkicIctCdHRobBfvJfbvaD1sLqYWtgKslVWBO1ZHxqSbASpHKXgixsBVboL45tQmBYqgbtHsfYzm7WGBtN9XNSEeBhBm47HTh6iszCDNq1Bh16Y8GzdHq7kvO00OQO0BjCfPrBIP1LuAG9Y2tFe02qFkldo6BNce+LBlYXDQtufb+9ge8vFHfC0V2AG0CoUO69vaw416VSvFrnzdpPB1LjYX5tiQ8iZAA/TgIyXocWj8rIAYg0F85uIYFO25v8frwDxGVkwtoUQFg56q0Cb2ZEF6LjykhpnMIkJWRLMHtV5zS2qnyZJYUy2vHVziaxNknhB1ahUurRU6JdTD3CpcP6KNKuBK+lIq/b4r/ZaKsO42BgdW2TMwzP4E21eaGMWv5wmlCGpl0FfNx99SFdFASFeD91EHdUYToQoWMOQTgEp02ys+NSrEaflub7DgOFf4aDUd9AwodkjAsRxsPxgDoBz4s9YXNuAYY7LjGmYauDX2k9ioCxnoqRZgWBXP5yKqtxaMwI2dMQ04FaO+iYmKWNW7TwFIbc94cs/RYf3/W5XVqbtDAssXGBBQLQAvSmrnYM9NhK/Ujh8bTZSUZWNcaST7RhX17tDig5uZpEBnEdh7ahgScBc7HGyzjQsazxvvUQ+CkTEk1x24P5B9NvU57tNLBYTn242mwixNvM7nmXsg2yjEhb6UyZbR86IgPwvqLMhvM2SuwBaATBXZeDVGjvntanNzR+qvB8Vuf+4fx6qOA4Iu+ELGSoUK1cqrVUl6Mo2WPLtWQRwrYZ4YCjjfMzDWSFcLbm0OKCmR1Ey5vgtwAFRyT2RrAvZTuLHX1jr26mcq0iixAFqC4sycloAHi7m8vxy2n6oCCIgT47S4kWW23zFgiltFXCvveSRzCTYHFQP41SiTAggE5TSz2nTZySJLAVLJyLhRAbeYwEc6or0HrJqsrf+7VWsjxxnqIQ1TARg7pK9XSOFIzUalFwGWiPrmDlJOcPYa9gy5bpCh93z7s7e062cCW+sbruPy0b5npR+bXhTHr6zE71+5rsVn2BY1fRBqDwDGmDlQayOupNeef63QCahHJuxUZ+b57foWzkz0/m0pwPF3yc54wAGbbMkxJ4awH9OBaf8uLjK4vqGtXr/hOKJ0Bh7+49z6TbeHgK9/FbDfK+YvHI0jBYjnXkFuk1kKEHfBtifoBOSjAkeLQxwLtr26veXePf2BfcmX96xMkx7NeOz6jaKeqGKdnnmdXvXNd4zL0llQbIxoukhrEfC9WCc7xy68J9fv2Gc9PZHOHC/srU2rIp3ps+7/SbB/srNxBjQoXv63v7B7J21flZl7zdeqJkEWtLGU519NuH7z2wG0Bba70Oxh/iEiZGB9C+x3HP+TrtSJmF+UPbar7deFQNN+F3D9q29bHlInwdOfR+x3wP0/keW6fCl4+59578+/DE207wb8+jc+fr7wlCOxudjsUDsM7YBw0YP00umljcq08IDxg5VBbEWTdxf0uWoWkHqg055QwCQ3A+FPcLTHPisI2g3qwTUaAho2D3yBHDpSArVEcBKkqsDOIGMM2j2RDDs/Ix/Rr902qPPSt/u+aUf0nze9vw6KJtfuqKkfHHw9kax14UETRdvwaY3Cnt4g7fD0U6VJuTu66tWVQOqSVOBQ6aTUZhSHXUljzkMSoLgN6oFblN+T6THQ96qnCLAVCpWIUEjKKrmu7ipGXR4FcFzASUqlU52ioaNMFMKaLZgfkkxHVI22qSminOY2RxWlkKZs8v06T9BhfigbWHri4d/Re4bDViCloE6RB1VRxH3tFXE//LzH0d/H7kFLyAKgU+/BxS5AqjeMbg+q2p/a79/IDmg2MwH1oMBGICP466yfMG5qQiW1syf8Gr2XUg0kCeYATRW3UefMXhv6LejBWmFw1KsI/X1aMiNoohjesymWs0k1inEBUlVjHPh9RRN5KLPcfPdxXR2VHnscuQiAC/FIDKgzA/i4Skt2qf5Hf6N2fwEYuEMaHL8zx5g06jJA5kALvm1NnXo5GSXOx5tEW5zBgzt1TURsFqIFC6oULhn7zAFjKYA/dwCxVVj1lkUTI2SauG/8YaJy9UCqdOuBtksPm+0pD4JDtAq60ZVVgT0jlErA6jABxZLrOlSpgEaH0zVir4KQKpN8sTnC1ibRktxXzB41OyxGUybVEy34hgUwaklEqzJFr14xsQl7RYCLZnGDlSmYDkQXbKn+nhaQeEIZr0Byiql/N79PAwLu+zGfGKzwCbAWE9odqYmWyDR7tYq1k2GsNaWBObGDONmqFF6Rq5l+MWTF9FL7jOF4O7Peg/IAimLRN5kNO3jotlT7v31GsooQCPR5tf69hwf9mwlpHXzEClucwl4RVm0JQffTwbQYcvff/nu3Y2dKvBrt1SjNlXtFhguSPFCPpz4yLV24HqwmdF+oE8Uw3Td1CiJ3lPc+ezXFfVe6MIjNUMhSMB0ytjJD1gDZKfToQjasNBKIC1DOVPefBzSA222JrSP8il5gDVkxPRfzXaay7Lb5ehyTSvOLHrfcnBtefbFqb6q0obKw3YBxBRPgcqBNh5ViQ1JBRpclBBhjGnQf0G8I2j7PntDaGK7qMZGizZ7OizSbv2H31X5OTWdSj4uENuomXayFIggwiQExJq45BQCmtD8AyiqAmgZKuGYmk3vsceswItBjgjYNYDxHjS3iLSYeO8DnIB8n5FM0G9pZxX2+AtuOUE+op5l7Yg5QCMrdcpt45wK9XG5UxK/vufDpzDXZ700g7yMBpe2RIkDLF8XycYUGwfRE0HW/Z4UuH8WE7sD5znav6tKpttdvBNs35VZBzO21oie7gf3gZQGyJbrLD4OdBM67LYs2G5EA7NFAnBf62zobEGj2WRbg8hc7pvsN+A93ePxfS/PF+Sg4/9WO47sLtr95QDpbn67F+vMTKbItTjdqcT6BLWNRUZ8E0W3CrrUsPF8OnwuOv79C6snmZdMPFAjKXUF43FE/HW7i+2ItaXVRlCkOIM6wT7R/1vSimL8q1jeC828U9VChL1QajptifrE2sCvFCU/fs71lfQxtjNHLrwkmOBPCr4fJdd/7ZWBArA8B6xuu1d3vKsJOAHm/4/VOT/2eEXhgYXB+VsxPBAzrStBkN2AiL4LLL6jOnM4Eoa7fANu7gvlLxB1YQV6+vyLfz7h8u3Q/1c3i35zo/ny68jyhHg9tNqJOrIpIZNBQDtFoKBFSpu4Q7ID0sRBOXaQ4hs0wtN68FuRkIASh+IcEhGvvaXGxG1dxDbsdQu5jIpqseT5ZwCK3Dh6w4GBjohh3UsWIeluvFWyVLQDMJwZDTnNSS4g1DpVTf1je5c3yfl0MbjuVZ1RC5hqi9eCO1G6p1JbwmV/BqG1xYyJQDqGjcQYieKXMkdhxM/klNjGF8brH4C3Zk4LfM1gSN74JeiB8TACODZcA0CrAGiP00dCANi6IBz+qwJPiuiQ0FdQokNxVY+M1o6l42nu3Cu7Yd2vVBFeWjReTcZsnfv2WKBTOdCzDHK5aLNiJVqHug7dFgXpIEKNqeI8OAzWn0tR2ILbgMSlCjtBo9rYC9UIF5ZqAultv0yTQqJAtUEjBbPvmvrgNBtyM14LYflit4hq6XY1U0Bv2vVehhoCSwb5YIomm9t3oScN9b4HqgLrd0JYHGo4DNk6h+tFcYOEBqdGDNEc6SYFrlGegsSpUBmpys1v7LAMBWDEKCEV7ZXi43rYOnqz4/NngVRzaq1oSrlURNAKnxQR4LOgZFDQ7Fc5Q/nmy5CI0RoX67N/cAQfeXzGBtcDb1uxL8JNiJ9Z3C4AV3eGh6hEoKDw1RJxymG18hbTxbbxvfE61qnnrafUgT7Wp3EpRVoSjzT13gTrv3yxGl7pyn9cpQDOrXZIUkrs6t/d3h4FR3UappeHPZAnxCAa5r83uG2kvXsFxG9MUUJzZY7RIr5YVo1Rr6udQnaXbShM74evz4uJsHdTx6mQ+SEtkblgG7RwyIHL08z/x4Hc3ZkLqIGWbGuBrE8nsSatClesLcN55zFapOo4UXphfk3b/AUBh4KEAwX1XZgLVVJJbhbdw74fwIwBUIyumUhVVZ2AAg/i9rCXF2AmNuQN0MKc9eUy4jS3RANTANhaQBtoS4VFlyKjhpNoFjlQB0OdoBxMw63RkwOIUjP7GK69qa4amkyEV8Dm0IQv0krBVAbaANo5n9d+jxQcd1LEfRXTm2eiza7fxeNUGmJeF9FZXBpaiiFlZFTtECv0sYoyFW3vyZHt8OGssZ1Zk3f8zee1xyevqcz4MbKJoSavPufUYZ/cEQ0iTHB8WP7id04bkNiZStL5eL4L4uZwPASpTA0zJuAtwxf10LkyglwAIJ1XIHGwsVL29lIHxgMPSRncBQvxeA0LNCDmjThG7jQYjkwJASE0DwIG7Okde/5Y7g8JsTDKrwxoDwSMHQrUzIm/impsDfDDz6Oc1rE3O5t5feV1hJ1MkHwSXXx2aLXiM6DPtycQUTC8/rjR6HJm+RtRFUR8yJCnwnBDPZky2/qHQxqPFMBqAchrsXdB9q8WBcQOWT13jwPdCA+p3vufyu4QyJ6QLn+excNwU04eE63aHeXPbQZ+kIF1AkOeRFZEycPi9MQCuwxm0Mn/YHxQ5AC+/jNhPJyZ+Zv8eH01fIso1YHpi9bQm+ry4ActH9qoun5nE5iPa7Oew8fvtdzCmkrTCwOmf6M/CitZKkK19MdrsXM8X4q6Ynof1DWgMvP0EAOx77+PN+NwyowuHTVZ3sqq+zw7Od5yN3M5NcO1EpcV07LW1/VmH9Yn2/2Ye8QqkF/orZ1GFjX9PLz1B2U9WUFykxXj/2uNnJ7n1mFDeHVBs8HgL5MAvSb53n8cV94r4vBlFzKzGg9QpUjU4CkfjxN4j02gFyoS2Apg/BUxP5kSNjjk9a1Nb80MACuiBo1mKcds5eNo+PgsSTMlsI92HTe2842VhPwGHuFvSFSnNfX0rLTDim/XAXwx8bpSgSofsgQepye7IFVI8O0BPWmIXWPHeHqm8VuiAqDzbGIGVkv4qgu2RSJwrNwNoCfn6nsYSNzQJdrF+XvGczHu3tAdqPusxWO9UNUqjRiAfaJRxHQJ6O1hwSnbviJCn5w2yZ9S7GfvbxV5XrPcp2KHF59YpIj9MvSoC8HkbhR/C89XWLMLVoH1OotrYCjEaqU4JWCjBL88Xvm6emOheVui6AbpBcobUnuTqlSMiynFqwRFgATcE9S4AmDhkfc3mUEz8Kmd+vokQiSdOMSLY+IK0suQrCquco40/KTMru2FjVWBkAPjhrREoRzQV8pbACgMsB1U0gAhrFKj4iAqeLN7346MUmi2a0y42w3fsNauJiC5qp/34PgDGwEcA8T1JurorCJZDD8xf99zXxH2azhTc0ghUO3BiHD4IY0JtPTdAE43ge/eqnKsshiyscHmg5NR7AYPZGOBq4k3MCripVHlQVKJAlgQfzeI9fKTSF2AUJLMEoQ7zfhtNNkgXvTEFTQmBc0Cd6j/Q8KVUMkvGhCIXoBZSko9WNhxHD7XqbgFqzyD1/kThKKNmqh1snnDnQ0JNgngtSLlY8ML3q3OExqkJ9Wjq+6XRA82XxI0jG8ImEDWg8CTQ2UY4bPRx07OpZjot30EQs3OObXA1T233PBkVjTR8bbR8gIe326G3mowgWbWg2g/TOndbd1sSpUBPGsQNx70Xtt4+471r+0OvPI0sIt8vHtipgZS9TWOwcoUl6UzAOcYCDdBq7SwGIDGgNVvVAJkUE3i2aeKIEtj/h1wpjNPYPYKmtQGfHxkRtoJw3oAUkO8W6MTeQSmKkD1D8wx+COxtzAoUCFOfyQ33D5HAKYR23uijAZyJrtr7c13Ebc8cDRdjHx83pdYzq6oQtfcds7fCOcBlooDJfsfgMJrgJURJFU/SQI2xV7SpAdsaSwUUbC0qsyWwhdR8sUp9+mojaQzAjddOnfRAsM7SqvitT3BCC+xHAESNFuyjfOLG5+wnc/5gUnH4sCOuFdubqVXnPNDfH3oLVBMa81jl1ZhDWDxQjSmhqdPq42oMh4o2wi7fdZZFnbiv569i3xN2prmCq0J00GBQkKYvthcnT/ZNk+TI942rjdUr7id4X0qAjSmz6vaZMUk+BUAClk8Z6fOKekzYZoqGlSN98PRcGtjk1+L04Tpx7npNvefXxd/CRtssh4T1XYJUjnSSAhRrxaEfKlAJKCYGGrbMSmyZOkC2MxZqLVxG3UetEBv7daNr0phqt4g1pzRQaTdegcMntQpaMX/OWHa7F1y+jc0XaeD9q5Ni/iRYPvm4LP6uHOwsjQAmFpoOH1nxXd9XzMcd+cOEwwfeL48RXIE+Xrmf9nvB/siYNl7N5hVNuV4qhaXe/acVooqP/90BqyWTnjTHVZEyRbVCYavh9iBkUVwrpjNw/3eCcoisQt6Dk1lMvyffub331gGA1/j4dxVhV6xvAxPnnWuwP7D6qJPi63/D/GB6EqQX7qNi8cfxjwJUwfRMG+RZo5AVOH4/FKV2xeV9bHTndOF5d/2G6xkvtM/pCfj2P2xI14L13YR84HURkACijW90X5GuZF/USbCfQrt3xUaslsXOIQOMXHBxv6fQL3vlaRSeYx0+FaRzwdNvZ1x+MZxh2ltB3U68x14CIHf2NC80qLaYanrm2SdFmxhvtNnGy+eKdOZ3XN9IY1UNhIV/8fHzK7nFNltDdYZA0B2y5ztRep+jb1BDodocS0uw/EHlY242r9jEa0denL48zsj1Q1MFFAZwdGZmIFQnZUBUHXXv1+hJw48ouPSNNzQW/458AppzGEUgGsqp/d+ve838/dt62TpyTpkjOdoCJFcqZOLdEwunr97QX9HXon1+Gj7HAcJGW7KDO6jJp4ebgLBfryV3U2hVPlaM6UBQ5Ob78d50pLJVRX22pvLetSqagCJTodOlm5KiAGWPCHlmUnIZg/ae4L4eb8X3FUP1K8T7e0abDUJqaAjDzUVHUj0h8TX21zp1+6c+z9brJ9FWWxfJQEimMLcTwXRbkd0r9R25c/TSkbEbQR8bPTSuPW1c2jXKq+sdJdvbz+z7jfbTnz/YeVDI+EtPrv399fZ1VTzZlJY8NITR6U5uvwZaOEuiJoLi6uBeB/ng1KibSpi39Ke+Pux1tLVS+45x6PMVYBTMYaAnrGJK31/jTRT1zaVAASuz6lVfu5HOfJgTXJ1Vm4CN3UP7DCkBYmJarc/ZK8KjiJXblAX+reJVK5BfGWSrfr3aG699Xew9ij3JMVBnpAr7MgyvvxGhGqvXlX2l3pPLw93up4/luQbUyopBA94G3zxS2V1xuSUAk9WjFQjKe/enenfGvs8f2fvwGR74/6S/BppYT6sCNB9P49fxulOvHoyJutu7+96w2UVtiuC2HPwDh+v1xPDmPBG48Nb4x4M59gzbWWvz5/16NQqqhtufR6+Y240OQPRzdbeWFBeyEjpxFTQb9H2kQAPPqrX0VAxJbuXkAqligjs/vmltxviocB+sp9KV8w0oElVo9jK67T+XkfdHil6a7usnYMAebb0s4G2smSGYk9yvkzoG/K681h5HeIJL4AOMOdB/14N6t1X2jVMDhD7S19JjgMZOKZ01QOaN9rMUaBTlBjKNQlhup0bqcJCxfYEqpEvr7bXquIz+c98QZmsOkpQDmoKtj3wsS0+Um42ayTd/3+ycjm+sYL8em6L2swCjTg+FjW4oQ/witJsyB4T7GWVxNp7rRADB5lmz55m95962QSai9jYsB6yrUqkcrKRXy0ldEb2drVo5h/gnYgEplTT5137bGQ2N1cD/V0gDwihaFyDzdHM+uK35tTtgSa0Fm1lqQJkDv63HOXNdqd47rL9hrKN/be2EBdA9IKcEyWZfbvt+O8JgJyORxGy7LtrOBZ8mkk8Ex3TYm66DoAE85wvFBh3Q1qjGUBjifJjPVfQJENp/zuKUtGTciwAORLnughcaqnTbdf9eE1o7imuRxLXvLxfRcrq/iiAkZ6vhJg6pk3KKTPapBuZHk9lsHPaE7R2ylUIbGwkMsbj5Gv/VyBAVW5NWmLCCWjrzNV4gA4CQmfyHNUANaAYArPyMGgl4hCxIdOrWQnF7L1oOYjEtba1PtRHVxvDIB2mCX74+/5bHz05yw8sVciDdtCyRSBnQDMf75zhOo9Pf2sP6G8tioxBKBaog5IAKYPmcsXwGyjHg+oaDoacX3Dg+gAF1KP555mCnHtTnk2B7W1EPCl0KZDLDyQIgtmpXm//m1DczGn4/Bn5xVevZ6c5f+B/sBzHRKgyvNx9ljr1OwG6VbXd+3pTdEpUE5Ac2btdZgajcnJEHEHtWA5aPoV+3V1t95hjssLRA0HspmxPzg0uItHkwROdFRDpugvmrYvlsY2VyXwsEIB9Dk/XXlhjYqIup9wJ7f016KZCtoh4T8sNs16FW4WYvUbVRF/t9wvaml/a46blh4zFgf0iI14rlU2jKhlLUxHeG/u+RzmPjrqQ5OKWgj/fMiAAT53vpmEukxMBIepDIyhu/e7z0pLk9ogUKU2IwNh5sFiBKqZzFGcQSJascBqA+0158/luZ6TikcoRPA28agENb2d9WjHMZJQv/7Cba4BRO6x/zBLIsES56wQq6VekT2rU3ZoQ5cs/tRgrdzfY2+/fe+nwwdsLJWAzRAqFIhoVOFKzgZwlgCRGLjQJZgCzsPU/XbhctucBwWEZpLIhRzMofZRaCOTttFmpVHKD16HlgkO8i8pFjiPKhrwXResF05p4MPuLBRMdaD7YBIxyLNd+AQ8EYIhphaKsgHMlmiJuaCI4iXgPvzXU3ZkDs1M6czXZtbEoppCWPvfA5U2l53/h3U2keIpA9oxwi1jexMU8AQW7Uda53aGyG2oAlp+JzL2ZIYt8ar3Gy/CQQmKqMaNlrZ8nPMz8g7FYVMtZLKNrpWsZwKAuwPxKsLHcVmD2CAfQlYvkYG9ulBwcEk6KJG5Y5tCCL45EGGqdXb5vAGloQ7GfOFgC5YzVu+ew2S6Nv9HijC2qy6lMye5+skjDOxiyAxoC4sirQ5iM6LcsDSscNHEQNnfXhrQruxyG99w12dtF+b4/+sgRg4fu4P/c1z0exvrCAdFFMl4RDpL1XAyldadvbOdq+BJrvyFYxZZCqLREEOG2AwVRlhbIhWPyZXDezYev3tZFeOqVu40bdl/OVQf9sY4QCzwOV/p3rw6mJtmkw6pvwu0JhPW7sE06Xwqr3iVXu6aX0nl1L3ssSm/8jEMkzLV0rls/s9UftehtkkfQAL63DCI0KXN4HnH8pPQkE/WM50keRfQb4eCtSLNmfF43J5iI05RiwP3C0Tz6irXsoSqGbaKNeFm32zaTQehe9ZcASCh20SpxWWYeqbj5RtTvfVeikkJU2nY/8GSr7QlvM5SyzCQ3s7o++BipWgTb/LrZ+5Wj4h2uiGBOiCSvuVoUHGqPw8m3Cy68TY7E7fob3ZeZFkU6CdFUsnzNqEOT7iBoF6VKpSzAweZzKfP12Rp2WFvcAPSnwJGR6sc8qIOurVDhlNlx3hNVYNQN7pv0/ChlFJnzowpaSK/PfZWYLTJmB39u1GYNFk4/coUjp9VuK+Vy/FeST4vBBcPc7TvxwBmF6YbJ4+FSxfCqos2C7J6OJYyotDjWtl+CTGT9NqOeI2USq4sZ7QcEy/1s7cL8bKHKk3eyPBVgq5BoRLkzCf5inVqGUCotJK/Ix4PpNB7ABi28K4wQXs2yClJG+OL0Ipq9md2a32xtFOSqmL4L5I+1we6Q/SFf27jrDB5Vjv2qUBs5rUvY4HxT5251JSRGgCso/T9A/Cqaz4vhDQU2Cl1/FPtbUGCHpBQZYWPxyV5EeN+Q6Y/pKP/L8m8Sk03x9mQV1oS+IpvS9PnK/7XesyMYLcPhIH7N85j7frFrb23oUxw8F8VqwvVlQE6nUd//kfbN8/uGzQPaK5UvF3e8E26Pg6a+51+M5Ia7cky/3AWEDls88y9JVMb/UVhDj/rCq7c7z4PC54vgHjgv1dpnpqSBZsWAvAE48/1/Hmn/q8fMrubUOaCIaejCKKd1k7T+RfXufpVo/jARLjFXaYaKBPRvVVQuFAT0TM6fBueiDIZsRHVWciRCpjWUJUVEEUEsqoLeL5sG7AM3pNnrZv4AgOGrv3xcGwrVeEa8Avn6hBVGNBjorg6GkpkIKIFUm51WAHKCobRP3gwADggM4At3FgvCTFWSn2nklnb09PNDS+dW1il+vbfJXaJCPtvBkPRThuIrhc2sMQ6/z7Wo4TbLOFnBhOAg9Sfd7rkIE02bY3VD7RqGS8WfD5zRk1g8U73MMr0o30YSmWkLVD3yv7nZkh9+3VbECbt8LPSGDggdYZqXLewfZ48TnpJUB116ZFLjgmNSe9PegGtCpcr6uf5b1MofReLUHy349HA9xm4g3Wp5/5xs7+5EV/8gW/e/27zjYuSOQzeYrg34BE4UiEASo9gOqRlAhNwzrLX2ft8pWs9H+mWMPuldyXVVZoiK0ZNTf3z5CuppvmTqwIdnFZgjKhaxNZ6xVt4Kh9rHbqie4TpN106iNsWA+saHkrOaGPdjEoJ92QOogjYtZ9V+038MT38Z2qBipM1KrodIWPI/3tb2fr7N9x+FzbsaW2RxsznO235kYWR9V0qn0TtFtAEzxYNve3ux7VCCvs3LU1lTsEoSCWtrv9Y8eXMRXi+efMe6nTh1t1ajxZRbs6Oufo293dXR/cpvnNWtiotuSXAVg1aSx8mOYod0bPm/8rM786YF0A5scwExo1Tq/b6Rc6833hsDmu3ZAoQFF5sdbBcMUs2++d/OPgjbuCGi2U4fg33/W/Hq2KqyxF+A0ZVcE18FmIbe+Pb4yTtUuQhWCneH1le83psRwLd5mBDvDgvmYUCpKGNTmi5KerTBbCu0+8Pt0gTWpsEoEk4wbfQID1H1sEEEdr2JYYixsYyLTRYGZ4DyAGwZSA/AEcAaFj++qMfSe2yD2ezuvBzHKm1YR6XZE2j9+/NC+Z8Vsj1UsJis6V8CmBKjNk9aJ520ogSN1ILdVVgxHqfS1atdkfl29ijieS8kS8ShN3In3Ydhj9j51MvDGRpxAgBDR/E8tVKRuInXWl+1/+D72t+3/Mlsf8M1eQ4uvNIjROKVfk7/eQCMxX+yaGONYoM4MMTuU4Tp8v0iAym2sMRZj/Cyk8JH03lQQ9GjnotpedpvcKxAC77doY12067F7RpVuQEpodHcpPCuDARZOgdU0+H8xPxkBJEWYC2oV1EzD3h9gY2/Q2ItxZ4zcgERb6wA/1wGMIIP7R7OFuBk7NNg5J35NaMWcxqRw5XF7Hp9jrjlzverEyQDlWBGPGSFU1BqgRVAOqflVB1yYoN6eLWEDFL0YpVEhoXYfZaBj0/sZfFavwnuF1wS+jgr4+CYBdZAMWGkCti3WsMkxtX/H6aJ2nbbO7V77ZA5WzZEq2gi/aMU1IX08REFaCTKPIqptrwznftgo4FqTl2zRWQhFWm74b3387CRXakVZIraHiRXE2PudbuZ1udM3L9bEVrxCZOhYOU3ti8W1oKbAnk4hT12DtqQqvDAQ6hUub6jXJpCzPwDbW+WQ5vcr5jnj8XTFcdrx4fkOL18PbXaa/6mJQSl7PhTLMwPDfBcbuq0mikXkHw0p90HYlPaWdiMBDP1aowAD4AIQZeFr85HBj54yl+caSf04VpweVmxrwv51ZrX1aA7DAvGwS+PzMxEyJ7C4Y/Mbwj/bY0U9VsjuIl4mCAN3dnxNPlGkp9HrBkGauFvwf7TrmAAX3HDwwRUe94cEuYvdYShtoCQKP0D4WWXm+npv5ViZ9uv3g8OTVJ0ilagnq2RFjq9CVcRPL6zYbnu3y2WG1sre3FJIe0vs65JccMObd8bBIfb+TEHrY20nUEO6tVWWWfkNDZ1lTy+rwmL01rh6dWCwMc9JVVs/Y+tLt0OrNeE7FX9RhGNGnAre3F9xv6z4fD7i+eWAHCfgE+nnjjBPZ0UwB+4JF1WqnR7P+7CfxKqur9gAypvTqEB+3XZQukpiG39ho6poUzbz7L4AQSHHgpAqQqiIUZH3iHxJ0CwoOTYqUQOyAtfAxelGgQY/0Dy59cCr4RAmdhKs59T7zaS+Dsy5eb3CNVb21BQny8IB8vEKLF8rsLEfdQQaVQZ6vvsZ63P2njNHZYEuEMLnmuJmUYQoqPcLZErs8zUBKnHGwp5p+/lVVGoKsxBhFXcMssZIctsR92qaAXbIqyGtFozygBWUgzFbroHzuffCJDkE4OByqh6s8RrCzsQXCJhRUSPZInVIOFoiXFjhg3I4fE1ijByOtCjf7IhzRZoyUqrG6BNcNmbDjZVj1x8vNk7kgf2dYWNvVDVV7joAC94XX2cH+7SBJPHSK1n+/MZqaAwdW/Zl6F900HKhH5VjRloyag0oawT20IMZBx0r2BJkvWdNedlARretNvdywi2Lo5LB0eY6Gq2Yt72Ddk5R9ip5WQTbY99HAFr/Jz9D2v5nIh0AS9Alky63P0Zj8vDn233Adi/NrwBo+hll5nPjqphETHjH+mrrUK11ux2E1fg99Za9MyUq5B8n4LIj5AIZ5kHTTruwzmQqn9kqKxpNRKwI6ha6z7cEMmT29Orc+zMBYHrKCEWRDxHVqLkO2PhW82A+uECmnZUaGMd4wiQVJnBjFdG3Gw6HHduWUK4JGcD2GNm/bu/j4k6t9QHGLrGzwsGLfJJ2T/uaGF3w0pO38eGMrJr0Blyl0I3Z+6woD4XJbQVBoKic8Rm6wSjlMBBXVuXqRAacKIVmQlbspzDoNRidUwFk25eJyZYnUii3bq3FQMqxJS74pGLrdLXM4MT7vR3tGsHKE2mygYH+19wFrlTJWjxIA8XIAggtaWnA/+uCg9uqGkCdIoCZgGmpbc5uG0143YeKLc8pLPZe1reOXJvmCKdODCOEHgMieJ7kO8Gnb1Ojz4asePg7+sb1Efj819H6Qfu1AmQXiXqPMStxzsgqR/pHyXxd3ICHv8MNQMm+4B4bNAamsPC0HgZWhwCyB9Q6AUGhp8LxcgsFZw8fAmJhz20+pcZkA4DlC/dao+UnYDf7Yeuf9nhgYdW1AaEC+slL6G0K1RLhAFx+yVh/egamJ68483fTsyC8AM9/VfHm331BrgHXy4yyR9SXie1mALZ3YHJm7x02RYqdNbS9Ubz8VYFkwfQpMJZ/DtDrHZIyNygHCudKRZvdOz1Rebksgk//bYIG3gv2D1uOpcD2xnyLxXCt/aEAcWVR6enPE8KeUGdgeuLeurwL7Rzwwko5JhTrB6ZIF3O67bEiH9h7f/ioyEfB01/y/qwfIqYXB/TQGCxQJtKArcPbBftjwvlbOqD5WY22jnZ2jHOA/7XHz6/kqlKh0BrY24Go2hugYYbUEhShAZvIBRW4bHaZHdxxtQruxEBTlLQ9HsTBjKsiXTL2UwKhxE5Fc+Otk9EfDhVv7644zDu+O73gcbrimhMu5wXFkwnplSK/Tqre8oQqJbbftd4wF/jwr2kVBiaN/JlvQq8oj320jl46ApqPCr3PkFQxHzLj1msk0pEU94cVTwrsymy1LAqZ/P3kBj0L3iNhCAxFguwmVPu+DwXLmyu2y4T6PHGj79yMrTro/ZPjvfTLd5RwGp5jtOW4aRtc7Rx7HgwBaa1EtByJDdJsaL+Tnow3RNeCotxRaBdPcqS/ze4MlTM+U0A5JoRSEb/w0JBcmMBNCToHoHiPlB0gMcB7YGScsQu0uaE+usSv70e0CQducmUSElOzeRS3f0P/K3t+nBqmkVVBHp7j+qB/fwMO2qF9UxVVpFSxLBm/fviKXx+/4O/ie1QVPO0BohNcHKSAlKwWgLUqhlgbaQ/4nA7XeguHAGg8oNTs3KshqP2wbyi8J6QTk3I5FkiqSFNBjBVTKphTwTUlnIugSmyiQmOvbO+L7gliU00PnnQMgeXcDVeDIBro5IGu2/lY5XYghRUuS37G6rBVF8siSBGYzrZ3Em/c616w1uMcughWPrjIAzoVr0pfVBBxjkYPrktiNXcDbmaDmsgZHYPf1NoTBH9OpLqrNhr/gIpmjpAJNlu2pB6wjIGLJwioYQA2K+mkB7YENPXbYPurwEkgVrEICOIH8RDI1v558dKzA9JyCY6UU8Vyt2GeM1KoiEEN6xJc09LYRQ6IEGgjIEsgQTCvxeaAx3Z2uXpuqxgn2unIVPE5oF2/oSP+I4W4+06+h1OUNSowVaS54HjYseeIaw7QcrvfqWYJRLt/0at8k1eUfAOiATseuDRGRVVEpVCjvrrV3YeiUbF9Vms5UD3UBRFFgXo1QGYAF70doVr7RtgrorF29pMJH2YmI9nGzPjYJ8CC7Z027noQ8SoILvFfGSeIofoeL8hlpY17NSsX6LpxBNzp2MR66hQQN6HdDzOmYdR63+/pSrC4TEKALvi69LWmXzP/YEnuWCVlglBYiYis3nj/IKtf3G/FwDgK+XTAwWmVrqbMfQbUuwJZCk53K+4PK57jgosKShbUJTabcfqz31u3SR91FEzMB0NiEMx+vTpDkJy2kA/ogY27I2cIeFVMweQydBsMp4wQFfmagCxssXKGDmBnoF2z0RgzAPiYn5WxXlkEBdLil1YpD2jVwAaIQVpFqH2O7dVG5xevAvF1cZNWTSQQaufnswxnSkBE5X1dc1eKt1jV2wk0sHI1Chx6+xnQQWnuSbu8JJaUR2CiHwzwc4KLGzZD6tx+k5ci6VN9djVqZWyz3wpm5oMgVhZWtkfg8suKsAmOfxCkDTh9nzF/3rD/7064fmvjJz9JUxoW5VmdiwFQz5UFFw0Wi8MAXs7MlaI4fV8QLxXlYMDkUbB5C93wh+ezQmeeE2GzkqrZqS4KWdgYq5NA90AAtfJe7fNwnzOFV9NVSYk2f14WfgbZKA5SADp1yqvHzKEINPd4CECrPO4PbAMDIsVuPXEWYPnEz9ZDxf/5l/+I310e8TfX76AlIlwDwipA4LmVjK7u16w2tqsKk9h3v/mCdU+41HvEc0A6s3qdj0C+r7bHzFcKfeWyA4ePBddvIq7f8aw5/TOpwiEDutEW8wHQCdjeVK559tY1izESBWn9bIvWX5tPHchpPmm2disDVz2eqKeKegKm54TpmflO/naHJMWqM+rktHnufbVWy9Y6Z60B62PA5TurWAe7FtvXrfL9CoT7U4+fn+QCCFtFOlc28R8s4HGlXj9X6hAgRdIQJdvQeJ8rpsp5uqqQtViSwdPwJpA2GqXk2t432EiE7Z4N2fu9DV2eWNpWAClWHFLG43TF2+mCd4cLnk8LXgp7alCFCpK5U+ooAMFqoAfqdSY6UqMgXvXGqYUVmKqhQZ7wO+pviK1TfzR2SXTSH20DAoAK8m4ecmFPUIgFewnMke521D1CnpLNCfZZwf3zyiQQuy5Pxlwyvs626UVRcoREhd5l1GtE+Jxaw3xbe1iwPw9REqw6bOp9TmXQ4IG6Jdnu2PzAh7bkuwW3wQ94u3cn3FDhXNglFAGVfBVytYDsmBBioHBD7lWqsOWucltKpyi6gInTOJeJwZHT3FT5/OGwQIhArgyKp4ASb9eBogQVbUyACWshGJW6lFbBpeBHvaF6KgCnXadL7ZRZs7ea+L3bvm6CQH4fFPmxINzt+M03X/B2ueAv73/At9Mzco0oGlBqwHq/WDBK2ooHemLiV6LaqtGtKio98QC8OuGJGNrB7RWJYD04pCCjPYeBlwcdau0DCvEeXFEE482QUapIc6FS5hqodjqpjUKRpkjq+5IqhWQt7IbOV5s5XBYKOPDiAVkD9CVCvcJlSUVNPKi9n02NfjY6WE8I3Nn29SDLRCwJFPmxWFWdQhvDkY+mWH0PrG+1BUUuHhdX0tvqyp4g0vAcALHq7cTRWuJ2na3CVSp0z9x222bra4mtBfsiYtTeARJdJgt2vXJpyVuioq/37khlFTTsDPYBQDNtmslFZGXCgSIHDgYhl1B8hAwD4LAD8MqSbaNi7A4f26QJKPcVcsr45vEF99OGN8sFh7jj83bCx8sJT3NhVaj2BItsH45uilsHOzojw2J4Q4n9flOhk3aRj9r7CHO3dw+0yWCQ9tpW5TR19DqxkiuHgjAXxOT3Qdk+E7VT0AyYGXsU92PAOL3AlVPrBGoqTEbfmw00U9gsVgtWJ0E+aKvkUCvCwLIBHW+08IXMqXjuPb3e+18OAsmxUZ4dhKywERaTsXEWYI9EgdmTCZCN5d9NWmuGBzlxi1aFsL5XNZCwqLEX0G1+bDMBTE2ZSUE4rwjrTtX855eb+aGyZ9Q5YLsLiDvaJAX3cdGZE81GO1DLM8dGxOwVkIBa0Cp8aokxYxK0sy8WGrYHbKRZdiCxMbom6hXsbyrKqeL0zRmHececCqIQ6D5MGZ/lhBoTxYEsXklXJiIMas33OFgZemAdfJ60UXUhPREbWTqdkgqogYjOXOtCPgz48x3tD1WIbdp8d10jZOWoPCy1nQVkbQmub4cqgVAduhjw5H3lXv32/sdy4L6SXShTAoVM9FG6DtcWfE9zX8YNVml3hWkL9FdgMnALsHGTwnslpkIePLEdlPY1SJuXnQ99fRqo63vVQIXtQRByhNPTvTrafKr7UFP5l3WngvgyUydEBMGUl8N1s8Q3skd9qtaT26P/uCl8Xi33PRl7ziRa30TUeUHIwN0/SY/RFI19FzfXRgBcQNBV5dnyJaZy7f3kEUC0mFB6Qhth88BJb5UIyCbAGtjGcSq0g8z3RFTEqaJWgW4JsrN1bv6q2IR7JezA/JX7Nh+kUdBHkadaBfpYUZcKzBWSKurXCekldnq1xarO0nGmQ2tDyEB6IsCwPXL90rOYDVsvfwX+/Yff4PmyYP+yIFwDlg8B8Uo26f6gN5T2/Z6tIP4Iq+Dz5zvoFrB8DrwWy3vCBqTnYH4ILZ6HEsBZ30XsdybY6DOJhd8pXe2siIAMo4uamG1ggq07cPhekM4dkHKmoBcAAeDyDRk5deb1l9nivjW0Ua5lUXz9K67T9D0LK/7e+UTV83Sm3k/TZ4ADRrwHh4/a/JArO0shoBAyUIZz/F96/NdJcq87pkBPVOaINldr7LV0VL1axU2Uc0pzRX1YUA6RYyl+eAZKMbqo2p+FN9Vk/4kABRuN08dD5AOwvo1E+w21KDOIHCqwpIy7acP7+QXfTC+4HCesJeEPKrguC8QEHKTwQAo2lqMY7cfpnPkQ2o2dzkCNiu0tN1c6G6VrRldYcyrRDtJShsMhn9BpzNmpk4BWga4M8NIhIyZWubacEELF3cMV+56wPiU6IENHxiqxH2DVKnSegGAW7KfC/pgAlD0gzQXL3YpzXCA53ajh+YNopbSKBmCBy8kRzVvHzlmARs8VMXGpyg3oidRkh0ToPSLbo1NButrd9GKbp4EdYtQUYL9LCHPF/GWD7KX1WYRrhnx+gs/CbZWswpEsjY28zNAFkPMV2FaOX1lX1DoERTFACpvyAbBfoAUnFuhujgoYEDMnJrPnjQfVaUGdrV9wd2jX1naOgNGc07NPBOda7zY+aeylGmlSAIPc+d0V7x7O+B+++1v8Yv6Kt/GMU1ixhB1LzAhQ/M9vT9AUMT17fw3vadyBaABBnV/1cMFsxwIbD5ZglYMGapjaYbqazP6JYIW/3pHfOlHgQQ8VXYIZiLEihoogClVBEMVh2ZFTwfkSURUoc0RY3Ka9gsilTFdW69bHAH0Do9WBaPGxMLmIihAL8jShfrGKZrRgp/IQ4jgMF9+67SNsAalXdqxnrlFJvYcn0gYd8fRHWfyAMHufSFPav81AVIJNVVBTQroI4kWQzqzqz89Gb49E+tXaFEiBJ0Vfni8NpNFtbwkvk09LFrT2/t14y/vReTYqL32tV4dcxC9uDHzDVltiUKcAMdq3hoo6J9Qlsv3BE+pSoQjwsWCoNis4KGDiRcH0HbyvUyOw30Xrhfb1U6THDfd3V/z1mw94P5/x14fv8V36in9//i3+vf4Zvp4WXO+OAMTmQ6sd1JHVs0v/HPdN7f6O9xYcYZTOPqqNwQP9bB/z4zboqprOZJA6AC0JRM9TxXzasMzM5oMoQctYjI2h7bv7WeTnRT5xP4YNiEYbLkaHzgcmt/WOdq6FooqyBuAl2trx+4YdmCuTDTFmRK84d3ZIPRAUknMgHS3yXJXCQI1Krd0/AHb2aUBdCDKXo2C/RxvzVJYeuDidFZsgw86DxDFEziRw8NrHFMUX010IoYOFQ+JPgyR4jpcLdN9R1w31+RllAC1l31EOFE3hmS3tusQEo5xp5Ps/mLBgXag+ni4F4VrITDAwqxwCimVs1Flw38I9I0URrwUhV2xvZly+S13ZN9gcyIU+oX6z43C34f/wy9/jIa34w/UBz9uCt/OKt/MFfxO+xcd05Hpk2PjDiuXTinyasN3b3jHRnbhZf7AIqgkQ7TYmRqq1K9WeILSqlyXIdeY+HEESp+fmOxPbESsqFCBOFRIq9ktCfA5UzV3M5wvv634HE7ikOA6CYrvvFOQWy0yM5/Y7AkV1qUBSyDUgFANRTCHfxRUBtLWtMyyBI4i8HxNHLVniCzA5hlH/9zv7t+mR7A+pnweu1muxWj7ynuUDz2Gul1Nw/TywxEHou0nvpXJsusCAGe3UZGOfyGUFckE9LcgPC8JeEGz8orywzUrfPaJam58oUEs/b6azAvfcz6gUXHIgoxyA6zcBaxbMT4p3/0tGmQPWR9rydB5mnKo2artUCgjFTRD3gHzmGqYLz8/nP6eYFc/eylFZT9ISLnWwzMWwLmQyhV/umOaMy5cDdA2QqWI57NjWhFo4bm7+qjh+LCw8veVZffeHAg2Cr39BX+NV6LgzHi8HEEw/Zdy/ueD96YK/l/fA72OjrXsCJZbEru94zxykTy+CdGExZ33PqvvyibZ//o0iPxSgCj78/VuENWB54tlz98+K6aL4fAjYvssoR6d6sx0knyj+FjYb9fbHmZX2PzKm2E+MFeJqFORsYIJdJ3tugfNE4Nxt2QHDkK14YUw8UdKbw0768n5ne/ehQM8Ry2cKY3kb5fYYcFmGFrAIXH7FViaBwpkTLmw6f2FF/+U3Cv1vn7F/OuDtf0iYXhTLU0FcK7781YTtLbPwkLkHWruMFc3iqrj/HduZLt8E1Lnr1Uxnpa1tPyUU8OPHz09yc2lIMykghkhV9XIM1MFt33u2iX1eJIAuABToUXUO5hAiXImgUUWcSmSzHPk3AJGhORlN0VgPJjYlnO/6zfSCv1g+4Gs+IMlbhEDH23qWgE5LG5DNanxwv9kIINXZaDIekDDJN7rygIx5gitDkjf2N/JDiGxBQJpPVIRYMU2Fze2V1RwAyHvsI2WMQgd01NCTcqevNfpcU2g2Iw2CUgLWNaFusVWoPIBrdCZDpF3woT3+FKDiB1XVFkD6Cz1B6zQn6UFWo4Tb4QBDi4xa4cEjm9tdCIj0ZLE+b6eGSopADRSOioGJaGFjW68yme2N9OQgkEHAQQsDFBfKaih94+jaE2/WRdve4I3x4K4CPuLCKPvt+TdrqRAQHFCrrLHyNFLJez/uYc44pIz7uOIhXPEQrjiEDdPIvxlQ5vYn9D/QgZb+Ew8pQzW53SM0Ox/thQCU9PvsucSAQv5J2wFQVZBLQM5kWcg4fqOiJRl8T+3V76Eq0ObhRYV4lbiyKtz2saLPkh4CuyYa5Z/Z9jfQKFfj/R++i1dbHSRw9okLvDnVp80aTLw+ibUlOWOy5SJIYjOMuQ5W2aowyppdQBNPEzIJ/P/7wgLWOzuaK9p7elVBf6Tw6wIQVIRmwgETTeGoBms/2QocjAK4lq8/zKtmrZpoCZfT2sfedDUqeU2KmAqWKeO7+Rm/mJ/wXfqK9/EZ93HFHEhfHn10W39TLVcfwSE/YZvGgPV7LMPZ5ucKAdxuD62dYNgYGswk/D5GMywB/bgKRBRVxVrpArQEjg1StGpqGGzU7dCByxZ4BHSBQrdz71kPfZ/LYMP9QnnPQ+aZGrx1IjNw4ZmKVukY966M1zT+bf8eBW+4JkqtCdFGj617tIDe7oWwgsbPrV2B1vohW9uH2+rgt8VbTfxPjEx45wnheETQCFjSotNEpe0r2siKRouDnaW+ndQSFGeuOFgfBDqbGnrxKrzvd7TnutBM29cT+/UbwGL2Pt4v/kwRY8VDWvF2OmOtCXPImGNBkAoRi1lc3KxwNE45JrZ0Oe3awdDXZ7bHJtaz5/e2UWv11mYkEyce+9Gb/weAXSgqM9Xbz4pdbI10iQFQcDvxuGnwo37dN0KatoekCrTFO4xn2nng7+n3DehJb5Kmkj+uA6SFNz8+kzx2cR8lDCngopu+xyKB1fYa9Der5ovc5w/YLnzEk2RtyuRUEh/YXi2uNKYCwLnQKUJdZDAIx/MNjqhMgmDnThj6bdv56/cS3VZadc/EhtyuCfIQ3N/uQ9O9qVH6mVFhI+KE7Rnmu8uB9iNX/3wX/ezrP80Zx2VDPkXkFJGWTNA71h6/TtauGG9tFkqwoMWV7iNPXG/ZBPWS8IwjrpcZ+Do15uMYhwJooBEgUPTYtVY03RMCWh7L9nuOpBwnlehDvb1LKiB7MCCJFx43nstxRR8zZvFtPtJW69zvXRfcurVb70se2wl7PGfsjSEHyEdBsOQ9rrS/co6IqzFv7gPSpdrM8NDb4Swep7ip8hKk+wKpXjDgde6XCeESkK5K0SkrepL23kXY2PbVmYmv2/84/9qT29r39r/x8bOTXL1cEZT0s7hWJKt0qQWIrX8HIN0IICVDgXJIrMiuBekLhz3rFIE5odzNHFHRqp7WCxnpyDUC2Xt41Q4d6Q3XEKLDdal4+8snLFPGFAuSFPxf7v4W/8PyEUUD/tPTL5FCbX20nuh6D1f7LpEVXEcFmwKl0a7CCoj115DPrjcOpQXOsE0/ucDHIIijhoh9T6pHfpeBxGrW/WHF03XB9TJ3oZItYL4QYYpXfmZZBPtD73+4oczMprQmpK3oHqgwLRV6naDbjLhLm2cXDTkCeqXLZ1a5YXrw79Z0c7Zt7JEgOiwt0AfQkt9+T0nlceGUtmYWIGaf2fUChI3PF6NnaAxWzU4t+PBqV0syLfmVXKD7Tjv0w2HP9GClMOAOAixLD2oA6OXMfpdcOa5qK9AYOL9tDOTtIbXagHfbjD6/NFdW3NbNbOEAJJsZuZu9uZ1Eeql4KQhbRT7GJrnu4gr7vY1Sech4c7zi2+Mzfjl9wa+mz3gbzriTHf8g3+A5z8hKdJQUx2BULW2UVDmEfsAL2r4SlRaUOpVlFKxxQZCwddqJJtrO/IX2vT1Ko0zBUD/ZSFNyJWgdjFVEkUvA5XmB5gDZAmQ3EZ2MRo8CuoN3Z++D2DUA5VSbWmOMFSUH1OsEFFKffcFdiCNYm0VduBZur6QqchHKQdjqauvUgzS09WP1J/aD0+hhFDMRq2gzOSlHRTzkjgEGoEwVNQcEp8UHCpto5AEBgPZ1HtgGDhKagJrMc6/WBmHG5I+xZ3dUV953yF4Q9th8YJ0Ctgd+l3SptMe9QNbCQG9J1r8YIDEgXHfEy05QcpkYxKXAPaiAaGUCs3LPaOAeqpOguGCLgYDeo7jfGTXqruI0Z7w9XPB/vf8v+O30A96GFQcp+Of5E97N3+GP847PBxPJcXXUyNz+FnhAs2W3zXTVGx/fAuDKs8WFWXqFgwJF+chgtzErfGxQq16BoKUApQRsW0JKBSlWlBJQLgnYg/W7mV24ONMqNpqq+8QmODeBFbIjJwfIVEFszsCSIgyCxaoFVj1qwb/52emlYhJrPZnA8/OzjXfwufQ+x3DtYHZjejQ1W2NXZVZtRElPq96HOVcgVUwHHix7WFCv3CTp4veeiW66FKQns+/KPaCJGYWsmSyBUoBtp40vM7+zMxZiAA42pu7dG0hZgb818397xPSc8XAd21gU0XxwHSip3n7gmztd2bdeTgnrw8QK6ktuQE/zi4kjv+Ils2r5ZqLfnelbfD6p90S32dMtJ1ZMseDPj5/wi+krfnv4iKoB/7S+xT9d3/J7HEmtkUKNgUsV1DTDabo3QIcDRmbPHDN0C6i5uFiwSqNUB/dt+55xA85rYquMZCB9SihHhbxfEaIFwTUgHDJ0Lm0qBIrRUSs/K53R2sMIOPL75yOa2F93jsL7dObZXo6K8lj4nl8jz3UHV9ADfxfj2h6k9VmP7Viu3wBb/xFAHZksfgn04z1IB2ATMW7fEw6szSbaWSMpndqZUWSwUXitLD1BDVkxXzZILpBSugiV6SrUN3doAnDVZqMugyotGFNFs7PpWXH6ozZ7c5aCA3/bAxPX/V5aMsTWA/rDeOV5XhNw/g2rtXG1Ct5XweELY775C3t0VyEoWQ6K/FAhq0C+D0xadiBKp6PXpHh/f8a3xxfkhydUFawl4Zq5uOtcURVY3yaoKb6LM0GUn3v/zwU1Atd3Adsj78/6DZOi+UtA+D4grqn1mnolvk4CXQYAIgPTM1idP1r8eeJryn0F7neUzVpyKveCZAEed9w9XnG5zMh1gaaA63vG51Bg/hgwPRmbYgeOf2Bs5IyF/cFFKBWXX1Wjd1sF/IUxfsjaxHWl8kzOJ0U+ESjkGSWmucKzan6p2CQ0dtD1PQGn4x8DDt8r6hMwPdPXX74Drt9GvPnPwP0fz9geIhPuifZNRgfbzHSuCKeMWgL0YuK4NaAslsf83YLpCTh+zAibWvwTcPhUMX/tLYrFESaz47jxbC1zAFRx+FwgBVg+rEifzyhvjrh+d+gMu3/l8V9FeMofYgpwjvzICJGJBwE9EIaMX25I343SUWOASEcAHJHmc9CrGxUYVctG9BgBWCZWuKZQkELFQXacwoQoFblyREkLUNS+x41M348Pifb/EYaGDf3H6E67oRyqDa1obUSOxujt6yQLJPWsOIaKObIfB2JS8ta3MFbEOiJ3m9y2z7LvcnNg+GuLIKyh9dA2dHZ8HdDuhXiF3oJ7p6zq8L1G9B/DR/Z1NoGXVu3oh6369xhRMqNg+LW0A7z9kZ7gipCKl7hRfJ7oj0YK+WiKUanTKgEylmZKaTdOBgETMarUjb20yjD6zR6DQf/5eC1OzfcqxKtrHNfxxhYdOYsMiOZQcAg7DrJjErIXAKD6aR96gDtWEFrwc/vJg/3e3lvfL8FHG2i/146m+v2vMryH/X1j+5ZBizEtxOjKqsLAqA52av8eqwntuwA3ldf+O/MfKuxX8iBr+PXrRHVMhHzpWuXBTEXM/lp1rPkOs2M7wNUqAD5uaxQJa1VmoPUmuz9yOrR/ufE+tWsfxXTaDwWQoYIbBpsKr+/wq4cplTs1HrsiADbyoyP2MPV8VrLJOHAwEIDNM7XWktGm/4WPb+izJwljcB5BenZSpFgwx4JTWHGQjIMUTAJMUpDMx0O024K/vzCCHRH7EbABfmwLHqy2SpYnm6+X3d/nlT/ne1pFwD8AvsRihdRu4wzSh4tBT4T82lobwXD9KvrjtR0PTN+ft10S/Xd+eQUIQY3+Kjf23TQfDKBkgKrwcSftIwN+Yu3t3holP0RbQJv/riI/WjvJlUH98CZqY+cArsHNbHJL5m8X32wvhp49AUbFr4gZrceS1ZbKa4jd99+cperf3WMSGRyz7X30tYDyezhjp0aBE4QcgOkVbNycbSEqUqxYJOMgOx7CBVEUH/Mdcg32PWz9fL8Ys+fmUdHG8vzou4z2YIlXm/Nrf8PYBmpLqVEJRrU1Hs6JArJkhqNT7J7XHKBjFQrjXtMWF9ywBIZ4oVUgLRZosYfvE/ff9jpFvzf8ucVggzJ4e1+hvxb0c/Bmj8urbSNoaz7uQ9g4ynZfI8ggaRtsWP4fHbb2t7OAtJrdSruP/bmCOsdmxxzlaXHrcKHVurT83HLx1izhxg+SUTScTUOFvo3f8xncY9yRFbGxtWxdvepobBDOkK1ACa8ACG0LqwFIoWKOGSdhy9LH9YTzbjTswLyiHKit6LNqPd5gQmhn1X23E50rkAXB6L7prFa97N9rjKM0ASi9+hkKUMXBIrbQhcDvUw+B52AVfk9v3QAAq+r7GB8AbTKE+/Jggtjtfnm8HAV1qtRvyOEmVml+VAdVcYs3WOkPXTHdntv8jNmltw1oCK2IFQ2w2h5gjANpBahqSsw3BTs/miJ/qLPZ7MZ1CFdr+1rHa7GCSAGma7V2LWkVZ7nZYLx2tyUyx0orNN3oPf0rj5+d5MrCO0gBEkE50pDDVhoCWmF/z9Z7ldibFa+dU12XRFXPdQdQEdYIGXgqpD7yfcpCp+70VR91MTqNfLS+zqnisk1IoeLPTl/wfn7B7/Nb/D+un/D/evl3+N3XR1wuMzwfZ28BP2e7D3ChFcDULQtQjJI3jpyok0CibyKnbQAYkt+yoPchrIp6BWBIUJPHNgVkopekni0Te4nDneK0bPhyPuLlhcqNPmYiV8BprE6THkdoiKKJBdVJuTaueJgDZCNSdGNoRjXRzEQ0NXTXRwgIsm3AkIFiwZkrpcUrGqr/Whm7JlYM8kmwvhmCerXRMjZWBtF2Zmb1rCW+hgLGTbF8YXWCIiBCO7KN0GjBnhDHAJkmCjQY4ikAv6AhpkiJPbxjJXcQlHLaMjJVF50iq0mMkm5BkDkjWH+5hIAqAkwRiGzYduokikJqtREzrLxpGuhsoC35bNHNxnxUQ4jFgsYUCt7GFzyEK3aNuOqEq04IdnCIOeqRoqwRwGArrYdr7zN7nc7Y7GPozwnFD8p+rS0xsMQ9boAWHpTVHB0pyIAaLTLFitOy4bonbIbgpqWgpoq6T83Zd+oZb161al/crEoVBHrhoVKnCJ2INOaog0ibID2bAJdRcqHOAulrUJYuWuIHhQvH6MqfTc+k0nDP9yBDo4+mwVDBtYrk4hQ+QKdqNDlP7P312g4GlSFJ8UDNA/hayUYAcAOSNAZNASQQ8AF4ok3TjfBZe5gAm6vHInI/Hf7I06rRsI8J9ZjQBAVB+9cgkDlBDhM0xtaSIg30sYN6iuyr8nzO6cDhx8EHVU7Zd4pDweNhxSHu+If9G1x1wi/iEx7CFdc6YTIaJ9T6IHejO7VKo/knHasY4D6LylxTSB/zvlup3B9xZRDpapz54FVP2MzFvgeolO42HljleaRPCKKIkUDOvieUYlEoWBVplQabCe+P4Em2cj019WQiXKnOrBUokwJrQDzbGIoL3yduRhtTIC/GHjExyDGpYC8XMD/ZWuweIHNcnAvS3AbTRju7k1bd2u+ZcO13HCFTjxXTcYeqYDvPnIO9snrNWdMWzIx6Hm7fFaTCOhiezEcKBbA0BvpsVQuEirVS1bYfZNBYCDspvypiVPjQR8SU2hLG1oNZYUJYZitBEM8Z8ZyhU8B+T3/VevmXQOEnAOl5WKNxrrnIAPxZMin0j+Wh4P/0Z7/HN8sLDjam4S/nD/gunPGH/Q2e9wW5RMB0B6SYzfq6KVoLBtlUaloifkbbeWuJH3Zeg481apRHEUznSgXkY2CPoPSEQDIQqyDfs1oHBeTjzO/xmMmgCQQ1sgqK2TVBkw5saBLsiyXZT94SIagZjdpbq0sIWKwXjOWwk3o+PfWZq/vJ9r7TQ8H3Xr7yA8s0gAHm12cTD8wH+mnvwVanyPs+UauovXANdhuL5eO6HMDUQN8OAPElsmp96XuaVULB8qlg/rojXHeEy466TCiPM0H9FIDDQkbMFFieKxFIAfvjjDoFzF82xOcdshbELwWyX5ud5ztgfuEZNT9XTM8F5RCwv7e9+XC7Di7EBLAvvCysIk7PjG2XL9Xshz2gsDOvRuDy3s9J2tjymRXe7Y3gOiviNViPasWH/z5g+80ObPRT9VRx3id8Wk/49ekL3k4X/OPzW/zxh0cC3UEhh4L1l8D2jWD+IeLwA33z5VvG6fOTtlg9ZO6H+BwRN+D0e37/9W3A+l5awqaxi1Q64yGuXWyL4+2A7a1Rrr9E4ClCjxXp2ysT2384YvoqyNcZL1+TgRsKzEB+UJTd7YZn//m72IteASaA1n08/QhZW4cPAdNXVtLzCcCJ6ykVOPygOPyguL4PuO6MsQ4/8Jzd3jC5vn4juHxHKn+88Duvv1TIqaDMqQMYyvPIgZnnPwu4vr3D/si9LQVYPtJ2twdBOShKFpQqkFPGn/3ZR6RQ8Xf/+ReI54iwsRquAnz5S+Yq05lr6v7ImbAAfyeFPirf0a+kK2O5aiP4Lr86QX5xRFwr5o8bQu7+/F96/PxKricKduj6YSFXz/w73VETzGCFQfXOQ0jnxNmmVbvypw9zj6E5ISmVFcRogaCVl9Qbo4egzaliiIpSAxTA+/kF79IZT+WA/1W/xe+vj7hcJ+RtSKYLgyDy4e3g9WTVAp4aGTMGgwDHPganToy9S02wIgkHlhstspqoS00AlLSc0iqb2gLAKIpD3JGk4ph2bDnhxaqwKiDVOgtHZjoa5MFcqzABgFdaBBorHXA1BNQCjUYVHP8e0OqwuxJgAFUyGUhpQ1TpJEKBzdaEjUqo7b3Yp8BgqM/XRRu5pDNnvbaEyfuQtV8TfwETM6BIiAdGnFFLZddWYVUK+rRerRAaWq/Vql7e3xUDR1DUYXuMM3Pt/VjpKvb8wCQXnXkAWCBj9qyAVUAFmlJ7H15zhQ90bxQ2t337rgDXkshaaPLtI00SAA6y4yCFCW6dsA9N32II820VyO5xq5DY+5qKbAgMnsacqNl2VpslR6EZ7x/0p7bKmOdgwS7XEcEKAj1VGmNhywnVAIY0FRQJqK+qqQBa8jeONCLyp01IJm7ge1lPpleCgyUTHsD3a7XDJznLoNPR/HPDQPcEbORF2/OW5Nph0Yayz9JmkNZZO/1nUo7XsFtM9rBnfrd/HDxRAdkKgf2ATb1bFeJ29boHNwz2G4T9iz/1GDQJYJVaKYr4spIe+LCgLqGtkWRtI9bYjuB/GIi5eNqNOJAlylTe9ATY2TP8/M7MGJLdSRFSxRIzklR8MVWz2W6g23lwtpAF+iFrs/UGRJgNMkO1+0VqAiiSBwaUGN+Ha+J2UCMP4Ea1FD8TLIBqPW78Ts0tGFuhVtNYGMC0UKSBGbc950MV2XEMHX6XWW0rBsiENSC9sMLQ0XA0ITGN3O5eTGnUzHGdLIaIOwMn2rklUsPt5FrAZj4TGNLofWUwRWYFZo4JyzlAN7YMtOuruKnOSbse85/OGAGf5xMaOIoQ7E2cIlVn150Jbs4UEfTbWPfhgs1PiwKItFlLNkVpo1RblzYGieCD7X2hym24ZpS7GeXtxHXfuTbVEmQK0Ln/6f7AmU8/xQiAAHIo+Mu7H/CYrgj2pLfhil9F4BRW7DUSVDYg2CvtIwXXf5bO7G2uNgfYbZ/fE/Qbtv4OhjiV0AGc9EIxmnzgHvN96WB+FkDnCtk59gQAtqMAMy+GrSIesPRksQGCAX1MkN7aA8TsVwG1WKNaT2AoQLgyuUxnNMBVbWKAWs+xgPclrZUVxlP3Tf49pnO9qWy3qhvQfPr4u7ixp973zchQalVdxxU3IJ7l5h75VIO4VcTnFXJeIZcV4XQggCgChMBxh4kxBs3V5rAvgUWDJ1vTdYNcVkjpSW6dFfKVc0jThYKCZWbsUGx0XT5os7uwspUNsKrpfUFcKSLIAlBt333UsNnuA7Y3Zi8r7128EBQrs8X7GVi+FkzPBRpnHN9ccT3PKJqAVLHniMs+UUE8rthrQH2eWoIrqSI8cB56/XqgcnIivbqrJJtvN/8ZdrZbLE8F89eC9W0g1dl+pxFNsRt+n1WavaWLTWc40tf7FBMNgrsTHeRLOWJ6AUHJnaK0+U1hy8msCEFaXFInrrlXYgFXZyb1e3rGEMPz/w+fK9Y3RiO3vEYKcPo9cPiYUdOEfKTg0/JFAVXs9wSQ8x3HkqYXwfTVz1ZFnEsDYka7dlveHg0AMTA+XHtLZJ3MpxkQiCPwl48fcYw7/m76FqIm6LUSMNreeswutEEDoppegMWRYeeopzIJIrT5SM/typH++PCpYP5wblMj/rXHz09y98xqmSUWyQ6KRkVWHooGGlKgIQlUYquKVQ+GUoAeDVYKRtOwA4UUtt7/KFZtCAbpcQQCF7VO3FBxFfa1hYpSA/7h8g4f4x1+mO5wjDs+r0eoC34MyoJlsU1jiLX6NdhjpObEhjjbX5WbOngFWGEoH26kstt7jQf660De3vPz+YjLnrDuE7YtIpucOoVBcEOZIeKsQ2LbK13er6iRCKjm2Dj/LdB3RLj2/mYfCcPqhIkbTN7LI+1zk/tWHZJkoz7kEw/HNiTdfh+KIl5889LZyC50bguR/xoEZR/5T/17xg0IGw8K2SkOxZ5vbvZWRc2F9OVaCczUSiXa1495gvfuSu1lFJ/TeCPu47ZQahMgYRXDKES+HPMEtcoWglXKTBlOB9tHQEsM3MYV0qtQ2j/T1UfFFLnLHnDNCc/7gn/a3+GqEz6XO1zrhD9uj/i8nfC0LigvCXIN/QCvFDIIRTHkwgbmCHBAq2T6z53W1imLgy37AW/3qVFQ3S4cxBl+BuvVum4TYlCUyqruniOVFffQ583BbFjAyq529NPfv41DCSB4U9VGT7k/Mf+wjcF/D065DxTRA6whCWkVXdx+b3fWo3AdYNfi84UHoSlNQ4IbuGiqoCpuZYUrXqmuHC88bKeLEsyxpIN9npHxV7aRa95XXpWMBB0dQeHrSqGQmtOZXz8sWUVVsm1EUE8zk1izc6mKcDH2zjCrE5W+X5fY9gPa9XllmrbuyR8U3Jtm86KujsrqbhC0No6yRzxtC4Io/rg/YNWEXSMOsuN/fPlz/L8//wp//HpP/1g96UJn5AgPUQD92oxxoIJeJbJL8/7TkY7nAUFa9cY2BGi0TiQPdNHUlS1bg9aAWhX7llDX2AIrCIOdmjheQa5ooBQTlB54+3Wni9uss5s4qiVsYsAlrJfL7NNBQk+CzO+XocLo55GPCXFGUFy1/azZfgETzdB7J0NRMlZ8Hf2PwhL7wAp3tmDSAkcyR+ycdCEbb++olUmtVPrPNd+0mCAXXlKpwLpBc4aEALE+XSRjhn2w614LEA3QtB7TCs62FROR8vM9Xu06hEFdLQIfD6aPrFrGazW/zEpu2ANi7H3LauvSKouDHwkq0I0+oT4K5xOvAf+3f/prPBxW/PWbD3gzXXDVCd+lr/h/Pv87fHi+w+UyQ66RSd4AcPvZkBeBzICGyLYasGIyVlCcleCgUpsjW8BChdmZszS4l4HpxSrA0u2nxtRiidayIoDWgH0HilMvqzS1bUBaUksAxUBLa2/ruh22H22GbzkIEwgf6TXQrD0A9xjO7VWjMRhm9vq2CqY9pczS4qCwWyx48v+X5udHKnadOQ6lzj4DG10ETvr7N+A4+9mjmJ5p8xoF+WFBnCLtNdmosFpZCNozq9YOQk9kyMRrhWQ1/zwRjM4FCD2sn554T8sswF2Axgn7HWeQlqO2VrH5q2D+QtuJV20sprDHNsqGdGF++fUxdPahMTd8zEt6IWNk/loxvWRImZFPHNdz/kWEfMN/X74/kal3LJCgeH454LKSnvz94R6XbYKcMkdQfZgZkyxkrs1X93lW4awEOTQErO8E2xv63booigLbXadKT089HodyBJEGY54s9Jdp7QUiil0J9odKOzDtns8f78iMe1+Q3wg1EWyuL4oAe2iqzDz7+/VKZqU7ZOYsCNZffmQSWk2Ffn0XWdAwW5UdmE0joSbF+jaZen0/GwQ9xnY/H6+C04dq/dQROU6YN7EYs59tvgdbjrNT1RoA1m+4kdxv1UmhdwUxKf7L1/e8vnNszy8L98zxD1xnf++RneR7qcydxeIq8+sb7u3jh9oKCWnlWXr+7QPyPgH/H/yrj58vPLVRzjzkiRTGtaAJjTSakIlRGJBaYyB6bqqc7b0kQE+TJWg6/JzPrUa38wMwKACnEm8AJmkUI6kMFPIDkeBSA/7x6S2mWPBmvsMh7fh8PbLKU0w+f0ebdzYZ7RjSZ6fd9HDoEDhpD/CLicuoKyr7gRbc4d6OJXFknv9jf9nmcs9y/nrAGQfoJZKC5kvj9ILR8dZOdxtV8jgUmyIRRNuYIMQLETp3UmLOwpEY0pe0UeV8bcvifYZo3yOt1jexWJJhgWFxVFh7FaUJXRQemHQiPPjCJghbRH4DpMdCYRY3BuE9ceSO42oqwlZIkS8V3vPqFS7+jEAMe1wCsO3QF5PanI26uczQKaEJmtQeRMlhQas6AXZ6K4WkQr8dmgROO23gxSGhTj2DDHvpSW6YAVdMjrhNOhQNgfYRA/5zSsWzYim5J4lfpiP+cfsGT/WIL/mEVRN+d33D+aGXBeElUkjGEzijIXJfDgma2U9uQkB2/1xB0ZV3Hc2VnkQ4KDSq5nnCThrgmOTyXiqAbaM7mlLBnAr2HFGvEdiZ8PlYK3f4dffgSFsAUlO3Za41N1a8duS2gU5br0THDY1uOgqsebD7k48hiGlVAQ9czc79WoqrKU+gaENigitTtcQH1jNMf+Sjg9KZ+yNdWU0Ju81jVm0ovwAEbjKg68pAPwY0sTNPBnIGqtqs3GJVMivpNZuzJDUGhJxJn5sT8sOBe18B+Ni2a0adI7a3nN8YNwZdGgUVkYms8CCVYgHbnOz+y02S2wCCIfmq4FatgtYriC3g6bqgquCP8wNe0oIfwj1SKPiPX36Jf/j+HcrLhHkImD1wcZtvI53U7xX9dKMwDvdx3hTzU0GZw81MQ0/64qa92i8wtghQAqw1QKAW4CCoC9ky2btGyNnWaa5AUJT7SnZ5DfTRdi0Supqnz9eUQoSedDOj7Puat4TH6GGmD9E0LKyi3dSzj9LA2TYze2tHEET5PulcjOVkZ3E1gCb66+21r/qJfa945ZojJ+zcdbGj3c8aNRaSwicx0PexCodaKdyXS/fnIqxI5gK9XpkYPNy3thSdJ9RhfqhsO2Su9lrb9wHIx9gSU6k8W+K1oM6kJJOpwvFJ+S4iHzju4vDDftM/HLbafKLrRJDRVRFcm6OxFbhWtQLloNjfFMgW8PVv3+LzqWD7bcTDsuL310fcxQ3/0+df4Pn5gHpJSOdg1Hras1diy9zP6HygfSyfFfPXgjoL9lPo1ctGZR6C26qImX6bokY9oQ0FCM/cQDfU69pZbc5Ogekr1D1C99AD4FM1cC9BKvv3Zmv5qAmMTAX9DLUWl3T2mIpUdRfJ8jiFr+dZE7LFJAE2plAa+FRtVInPuIYMMUpmML1ZlRBw0TltisLuA0j5tdnUjeqDzsRTcF0syQbsHl2B4w+52cf+OKEcIkKeIZmtfJIrsO0Qa0WRQmHWcjJq/CUjAtApIN/PSIGCbCN7YfmkTOoPPIPyIWJ7FFx/VaBLZbvAxhE/b/9mt7W2IkYK2K9GrzbfmY2lcflOTJBIrXeUMaUUYH6umJ8qDr97RvjhK2T/Dvv9EfkgePm18PlFcPhdwvpNxfRmRS0B+XlC1gm/3xN+mO8gojicNlz2A45/pLjofs9KphdUamI7hADIZ/b/ru8U23fe08Qbsj8EAKQ1L1+8pYz3Yv7KQsjTn09Y33EGcLpoy0EyAspRgTcUnILFXOn7GTUpjn/xhF+9ecIUCg4x48PlDr/78AY1C6ZnwfxFsb0R6B0BkDKh9whfFOtb+oB6VMijBzn0k9cqyHfWxrLR3pdPxgSdgOs7MZEtrmmrygoai0Aqq7ynf75Cp4Cvf3FAnWJLOtueFV5XwJDrmJ/KR+D82wzMFfFLQrwI6qKY73m9f/j4iLoHpOfQ8rx8YOzy8I8FkhXl2MVOR7abirRRZGr7M5+A63ccUzU9i42Doi/e3iacfx2Q878tff35PbkzE4OWgDrXPAU74IZEt1gAZApysiqD+JGyM8RbbaTQICbjhjfONmzXMiSeTb1vFby8HHBNBafDhhQrrjkhiuLLyxH1klg1WYnWkf7rwfLwGerJJ++OV278c3lNw3W06htuKDBtLSpM4AjNmUsBnbBXZqtADSkX4d911uY4WRHsAY0763wcEkpfk2KFrMqIxQOXJjRhgaUnPf7vGxpD6Oinz1ElLcuCMKfhDElMKHqTDHtzfpk4jN0b233eY521VZdROSaplACYum68+h+fi8qg/yb59MqYCOcpAqxyjYIlKfbkdprQxq34l3jdr2gKsDeCUSJA8oBFgEAqlYj1LS4RLpb1WvJcPQEJ3W7ayBoT8nG6qO+jUTBjDGLDBsg14OXM/vj/6eWXuE8b1pJQIfj+co+Xdca6TgYg9OCA1zLYt9uxoCknj3Y+Bqwjot0oytoP846WGuhjSblXkPmd2SOMMIhOgf3dTW1ZegLb1KClr8Ptwtrn7lzb9jG2B7zAj9qTBZ/PObIqPOFvlBq7jhv/ZAG8j9zwwBUAK1no+6RVsP2PV3ANsVKnrVqS2wI3F/qxCk3YqUzs/eaNseBAjjiAGKkergqVABpmAEKlbcWAjs4MJfxByIoJWmSAXqx0bN/Zx17oIECjg6smp0w4zsayVfXgMFcEEaRzsWqnNH8EC5Sl6k3PsFdywzXg/HJAzhF/mB6wxIw5sL/y0/mIck0cZeL3a7DVZsvur+2AdYX8pkYL9P5Xsw+g+3naCQMrqYBMTCI0gPM8b84L+/ft9ueTolXzZfxx/95trwU0zNMBFX9D8XUuFtOMdEv37wMln9U3fmaFIITbC3OASqxKokADKthTGm5AVa/mNXQ/CeDn59SDYA28zrwmqINWmb68+bB6u2YUbAsQmO/2MYPug1M7VNp94c2LwGQ2F8yfrhukDPQ2e+92rwp6tTaa/45uODDwcjgTx3vkthZ7tdNHnBD45L4JOxMqAs6vzhe712ETxJehvSQHPF0WlBqQa8ASM56vVJxHo7b7Z/IMhYbug4dzJx8EkGGv29eD9io+Klpng/8OGBhoOuwl+0wPVv07uIgPopJFlyMF/6rQ3tWuOUurIuPVcvhnNZ/rft3GMIbdjuTXe8xsXq0i7WMfXbNlPOO8dcv7OD1G8T78uNvIHYBaG4r2p10f0P14Y3UMe9qvKXuvp/V7DtUsuQGOq4HsZudTgoZAOr4LauYKb/kAwPnRWyU74dWjzAI9co+ms5JCvIJzi3cCqWETVm9dY2b409YXnlBa3GcigFIp6tSAquL6EwH57QEJQDmlFqvEFdBdGqilSbAeOFw4mMp6mbjIFCoLkHNsbUmMT3uLQ9xYrfZ7WmYqDOOH2GIG7z/31hIUtDMHUOQT97jPrc9HwfrGHZwB5groxfuW+GHBcobrecaHeIfjvOOQMl7WGXVnYFeOwG77K6wGeBo1uuUY9n6yA/VlurX/qMh3ShabgWLZpoq0+COzEh8vaOyh1qISCSpoBNZvZwPvTMm+ck0aLdi/m/QY3nv04wakp4g6BxbGroL6ErAtC9slUiV46Ww+K2JlFVzfRYSdwFFcawO4nTULsGDBuefGIHLfX7kQZQJkEQARNUoDtf4tj59fyX28Rz1NqAs9hCe5ZYnwXixRIKwVYc2ox4T9nofLUq2fy5yrvx6jeqGi/T7UysB17FUE4Kge1EZA7NKoFPPngLwdkBfFl/cTJFVWh3KArIHjd1bB8pmGUQ5GJ1BPFNGESjwoZjXAggo/N83gWtBRu/NyMaJ2MHpCO/tBbod86ZUoDWCjSxWOWImKcMqQe6AWQd0CkAPCGpsRxiuv//KO77V8klZtCJlUDB4offHiCtKxPBiqGMYEST+ABCipC0f5zz3JDa54B1J4VIhSpUslSnyk0/C+3f1esD+gBf1lUZS3mSNuvkzmfAP25xnYBdPniLiRUhOvFJs6fCzsEV5LB1CiJarS11tcmMeDo2iz5ewA0YX9L3JeIdetJbzwEUMAxaqGKqsH53WK9rl26ASnV0XU2WZAbhU3KrhG52wU/RGwUfSKgLJXuCyxq915EG6o9fRMBF1qxFaP+Dwv+L8/HxFiQUoVISi2NSFvEfqScPpio0ReWL2EdpqWU7ucgkTgofej3QS38moLqra+W59JGowGXW1+ajWRrbC5AEsl4j1VSFLEVBFjpTCN9+VGHvblUJtolBQmy2PPeQtW1YNJaQGXCtq1eOLglVwKENnheGXFVANR6lH0a0zuW3DTFoCsklHEaBxrREqvVQ8WRT1UYKoIc0GIipIDdCMg4qOS4kUa0ptWRbpWpDPFRaQUNPEzVSa3OVtPbgQQWcUVab+j0fCQkHkmldlVxYcect8nKoAuJi5VFOGSERUoh9TGT5Vl6ntMnbIqiLWY/9YOah0SEIB4zgjXHTjvSJ/YW5bfHFFnE2WDMX4yk8eyGNVzg/U9Bez7Addlxn95mRESgREJFfvzjPA1QYpXTrTdJO8xpC3TD2wHr64b+6cBCaxG+H5wsSC3NRcgcmpqtYS/LoK8xN7D7eBjhrE1cJPtxqVQdKwI1GnLrx5jcu5gyg2jqKDtKTJ0tPniOnGPNFGPY2gU0V71uwUEml+X7vtvz4xwc3018nee9JQDsD8wkPNet3qowFwJVD5zTN30xEBteqbfIchsVVw7LzUKReN2QcgjQgXoPAExQNadI4QG6r0sM5+XuAdk26HPL0DpQiW6JCoeR1JD47UOCS5tpSaBHGhzFG6pP243MhMrM/slXZDRe/M57iQiFEV62hFyxfp+QX0Ye0P6uT9/ZQCaD0A5Mfg5fzjhPCk+ToUqxXuAbiYW6UJGxtjKRzHWGMWGpHTfdf1GUA4cw3f6nmdMTQKJ3Gd5Iasr5ApIB7TpazuQrIGCkU2HRHoblEaYcKYiLAXLknHeI/QaAVHoqQBFkD4lMnOUyZKDij/eAMM+MvZWyGqV3VcUe39u7tvMZ+LmE98/mfiNAwJO5xdFo43GnXt7zorphfdwPxoYFjGGT40i2hKLglGvkq0XVtGbvqKdMd7XWSMwnTPFMrcCueYOXIqg3i2oKRgbhr4+nHcgCsdsBkH6ekV4ulhiYD7fHus7QO65XqffC+bfFcTN4vMkWD4xRoMA+x0ZCu73GpiuvrcF13u0vlAVYP7CPUyA0j7zTcD6Bri+PSDsFNiMjTXF5yxfFelccf0UcfkyNT9XI7DWhHIKSJ8jlk+2H/k2bKG7kLYuBZi/Ko7f21ijXwXs98DpD4rTh4LtPuD8Cxc6ZcwZr51RCgEKBOsj1219Zz2s98Dll92eANrU/H1EOSnKXUXIjK9FgYsc8Hxa8PVUEO8yyhYgJgx7/RXP3sPvEw4fuk6BVCvyBG1CnHEVxA8uXEVGwvbLjOXNFfuasJ0TJAdkY2HElT50+Qg8/D0poTUBJQnHmkGM6Ep/8sP/Ptn5BRz+yPNiv2diGXLLtaGRFfN8VMxfBcdnA0Yu5mPt7JmeBeXThHwE1l/vTRtACqu4+wP/f30PxGvA+/9YcPjjhv3NZKOJBNsj4EzBuPF+zs9sOwwbW1vP30VsD9QT8HaW+Wu303/t8fN7codeKh8l0BRBgzBYKfY7Gwvk1ZEaBcEWTYICBVZ9w+2B/7paYwmlP8Z/E9F2mq0d/Danal8D6YBbgOykgzlSEXb7HPvcUZzj5nOdnhOFapZBiC7fOD6DRUSIzFuCrGno9xpQwdYTht6fQtEFgToqGJSjFwIrMiWH5n3GvjB1qgz6AeD0IzHEvwUurxC710PgfW15AGlLaJ2eNCI+lHSXfj/GpMADKDNmwDcxWlWrJnDGY2Li0/rfbB3CLo2WNYo3/FRgePNwAGU8mfymvq7WtqQBXIDx5je1l/66JrTjYmgCCqMNlT9VQYiO1AyfI6G9B9dH+u/+1MNtQ4ZqZul9SfHKfreSEkqMKFOhWq0FRWFztfCOVvfvh57QhdvRTlWFYyBaVUtvnt/GFiiM3mbXNtgWmQvDv+2+emWAbAVWx5zi5kutomjq2H4b3JZUb4sA437im9nn6o1dj4h829OB+5X2PNxH9EBmrAS2718F2vrsZHg/NF9H9Hvoe/a1xvB+6j3W0nxAE+MpvNc3I6isgusAWluHAZy5eYz2HroTHSumOraJmG2LKJArv2Por297dFz+tgajQzQWgn0kcz1lH6WzI9S/k1URLRFzvxUKoF4N2ADRgLxEFK+II0JMIKX1FBa5uV/uf8bkbfzTKkfifllvnt+/JG726Sg40/aF9N+FIqhF0aSbrWwdRIGoKKCIHwoBKwz0xjGpatVuoFVX2+cb+OrnmQo4t9ztZ1gDvqj7bVbTpNl4M8cxyYX7Bb15rza6xp8b2RJDgMfsxT+z3Zfux1m9QmMbOYOItv4j88LNmLVmO/bECjTm1+hPX+kotLeK0nvM1e0D3Z+3bWT7e/h8Hb6Tv7dC2/53O242AfeTXRRN7PWtjxtoFfkwkVQRivnvSvAeAWR7VHTRLmM9SUWvrJqbhh09TgUsCwGjGoXj36LwaU3/xG1ZW5/8Tz4Ge/fznuvXKcw3y93ujRnqq30JDHY27J0xPvFewRYzjefXuPd8XT2Gi8Nn+D0egOXG8Ai3+6OdFwP13q/rxm+M66H+IXbeGB3fx6A0+7d+8xsbtwkL7St5fBGF1UehuKbsGaihjaZqgCf62ecPxrWk8Y5Mo3TVNpGAYpbGyBPzteP3qg4sSP9/8zFjHOYgcvXJBJ4g2uuh0oX/DcyKK2fqstBBmwm7QDcXujLw5uQbxs4FHVo21krm13Avw6oIC25alGqwyqYLD9p9JDWb99+rkDUOflV5/8REWv3hiX30KmsKKBOLT07v9ip/9TFp0l9cUz8QBTBmC68jHwZ7AhguRrYaNVCnvZXHZpyVzJhaWmzu00iqATEwYdimWzLYRbvnMuydMNxD+H6SBiiFDPok7WduY6ba86trVOD2czwf6SwpbQnudM4oS4SUW0BQlAJy2F8nhj/9+Pl05ZcLYjogbAV1jqhLQk2C7SGiRiLicmX/Sn2TWpkaAMqRdLewe0WX5fx2Y5ViVvHKL5vvUnfG6M8baZwhK1AMET0bDfZABFNDahQLKJ19vNpIHxt87rQkgJsV6FWs9TG0EnudnYrIzeuJV7pYn1Yi8kBhpIqwV+xzQD6G5rxVKARRI2XQqboGzJ+p7Lw/ViLvsSLNGYNfhsQKrd0yOZ6I1xl2a0yfALS+FZPv9uDGWRFm0I4khwLABH7yoVdqvY/tdWI0BkZO60hXUEkudjtQO0Cq0fmqORVNyurWokhLRpoKLncBOUZW8ZIC1sOSDL1TIeqq7yLSGkhX3irVLlsV1AKKTKqbptgCatl2ikVtG0Sk9dtSRM16ZTeF1oHepmqKhqk5WVboQu8tFFZAmoiOBUb7QuVNKT4CqNt3f3/+njfXEmAT6Al7NVTL1BSDIAZFrXSMNRutSgU6CXYPdpB4dlvAHy9U6wu79c29ChJc8GM/DU4yAmJOUwqr6KHwM53i5xS+sFulo9ae1FjQxSTXAkSjmcUrR0roSSGW5AJAFEWMhdNAQuoVdA867Pvt9/xezkBowYMdwoA7+B6IeZLfbFB83wgyFBpY7doe+nXyXgzO3t/bLouqg35P/XNtf1ggVBZgf1t5PQpgDWRjeAIftfXixq2PmeDnWV/cFBgEANAM9hV6Feuw0OYH0R2EcCvO43a174ArE1aF1q7GKYcZakkyq/m0wf0htXscMhMHaUmj2bsF9cWZG3WwCdszPtuRlGsTeVM0OrSqgWqJ93J+ZqJ5iYGBuQBJzf9Okf7cRGHCJg3ddl+RLq6KzLVslDvp/fWuOdDmGSe1Hj6PutFsiIkEb0KeQ+sVbJVHubWp1kdYBHWJTKrebIipIqWCKRase8JVZ9QtIjzxO2gCtncU/YsX65UdkgIZEkyg78VgdEhnYrScGuZ/DMDS1Jk5zsjxRKjRAr3S1qp1A0OiAdWAC4XUxSoVC8Gcehiy6/123mPbz9U/i5UdjmbJkKoIa24sA12Y9bX+xD0DO4A90949sQ2B2goxQK4b5HIFjgfor38B1RX4aJ9dge3tgvVNbAE323GkgVwEDciiaLlZFAvipfU3u39gHMDziorqgcq5F7YV1CUCxnBLV6ftKcT6mSvQeka57wVagWTIUrzSttUAP8nAdEYTggq7xTuLtKqZCqu71Ue3Vd7j7Y0Y40xvgPWQrbI3JOc8G7hnON4JxnjhXmrxkI1E498KVGDfjaoMC4B99KE911tnfBTPyFTwUS4uSDa2kng8IRmILihn1Me4Gi187uI3XvUpR0G2PeMJ0PUb+qB4seA/9d7TJsjmYP4E021hpYo2ImTd2SNstPeQBdMX+vLpZfgO4uefMUFSgE4BU1Vgywa+JLiIJYRMBll3yHWHvJBDna4bNAboMqO+e0BYd8j5euPzv/0fd1x/u2B/5Dq8/CqyKvlEX72fBNt9j59VgO2xfxfuS2C6cPH194Dr1Hhv7vVb+rjDBx4xu43EmV6A+an7/5oYi9do/iKGpvbt57lGZR/r59jPdbMJhfmbGYCLopZ+BnnBZH0vqFOCC5a5rcDjz2AMxyuvaXvk33E1HZ8jsN+r2QRtI98pSqptbJIGvq61jO0ClYCcjLGwsMQfzhTZqjNw/o2LG/J77fb6OtFe4wU4flDkA3D9hn3rconYX+5I858rwjXg+AdpYwwB7s3n38RWTKuT4OXPFfmxtCJRfAk4fC9t/++Tx9TsM9/v+V7TC79Pvfp5CFy+9T3E++j6Pg5oigLzDxFSGF9yHRWn39tzbA/WSXD9buGe2cnGnM4OkvZ2AsbUCoQEFcHyVDG/9HhreqlYPq7I208Ix/7E4+dXcvfM5ngA4jM/7bDwfggI6WD5ENqh6zfH+68c5bipyqog7pW9Z3PsCn86Pkctu++VUIgJDmwKqV7xFKSrtCQLoHPyntRgFBdHlAG0UUH8IDT6ZgsEBIC6wJC214ViyJglCEQnqjktaYE4wJvtgUSd0PqTADsUEiCBcxUBGJCszcABC2RMrKEH+wAMqe8Bs1KkKNj38tzBI2cBqnTaaVOFXdCUPT1gvHmMScSA3rFHbUD6/VqHqlw7QBJn6cVYEWcicxB+d64TzOlpCyIB7+mxxLJon4vrtjFUbTUGqg+WCuw7cLnytQDpnbV2Zdqcwcn14/eURm9Tqw7/yCYF3SPbAteZaGzY/AS3Gwlrwsewbl5pd/BABKGS7lwBipYkoBb27rVKjfX81AoEC9SEZtkDyUYJ7J833ksV77fpFfsW3JvNhGyFxFfInyNwUi0JUxiC1xOFsVpClJs+Yyy8cJmtqiuRPbo35Sx7n2AiaAOq2ZB/vPp+AsDRfA/oApHdxsqwQF+UImjFxyHZIdsS/gKfPNUrDn4QV6AppA17Qg3M0cWeuIWBfSEmQsULboyF4Ts16mMQIAaomNiZ9+JGClCx9xBMXFFZjBiBFAcLtgp1CjMAHcdjhdCqtW1tElVJAQuODNF1M2+VTqteEfwTq8YF+LgWhZh6uCkBO/1RwCpGUGsdNtTZkHqIIuTQ/Y9fqiUBVBJGYzS4sIuP/WlovNKn56MHw9Jslr+z8QjK5KM23z48xKrxxRKiKA1AvK1oSa8q7PzcsEmjMoZQkULFMmXS8yNVQyWzR64cCf4BQ6+V27PZ181l+d4r+mOWxvi8irYXGuA8XDfBW/SKkye5oz0Mya0n803HYtLWj4morGQM81B/BOfbfaEIVjUArvcltsqWAw7ZYgzXWCjF7J1xhwAGDgZAFbrvkNMR9X5GGcdYgcHXfiIQPV3QKtuvq/c3/bpirSmv6LWdomy00hTbugUTQ/R+Zn9PL+EGdBu8WZcGbPCzkgWQLmDXWoyymgBjB/BbJcWrWKZ87eB6WXxf8PlxVYR2lmg7lwC7bheesvf2libSugf7EFg1lwybWuVm9JPsPanxSQqwy7gZ1aYdTPQ+YT8/Rtt3QVOCKvydFJimlY99AbB2P+7tVWLiPeVgNriB4n12FjApw8C2QquK19nEs1Ru1IcbC0QFYaVw4E3PuS+GJSRSFPUYersTAMbLEY2VYL5ecqWw2rqaDRVIjExyjwltZOJg54c/XoDHEwH6SbDfmQjj54pQtNFGm72Efh+i0aodgCKVmfuxRrZaXd9RlKmpTwNtkkfrr3Tb8GQmGRXeYgT/fZ0InHAmLwafYQZigLAfV2Or0ggqsy1v+E7jthrObinKPnoD/WRFS3z9PG+q9AITFwOcqVYWW5/LoHFSwfs2cc9LNr8/K8Wr/Eypwx40ewiZSSdH0zFeiF+pbl2OpCE7oJUuaDFaPgjyiXkLW8GA/FgwvVmR9wjdAnQ1NmQB9pn3KIKfSS2cvp4ha1Pm5/gkz1do53XpbB2duIfnr8aK3bgnpzOTUY2C7a7fm3wQA62UwoYvFRBgP4WmgcTeeL6AwC1ZDw48xmtFeN4Q9/9/jRBaJuj9EeU0oRwT9oeIMgdWFiOrn/upB+NEU6Q5NQp2SDtY/Iv6TEB/tL5E6UkiVXUr2piOKNjvQg88PFlNPeBgEttpPv4Z+YQWEI+UklD6wV5motVES9kHla4gspM4p5abLDajlQrKpy+BG8nes6laJukb0pPL2XqDHwv7FYUCTDEVxFiRM/srJTNAtryoHQxiQUX/jvqTm10DWKXzQ9EQ0f3eEkxPmHM/cJqKqCfIRjX2h1NaQ2ZjfuvzdHqzNbrXiIbgAoAUwfp1wRqtqjdV6BaAc6KitPejmR2NI1XUk82JAbqshUh/DKwAqPVElwJNkeMkAGsUEQpPpUj6ZBvDEkjB8PXaNuicWNGytdYk2B54QDkiPiZZrrDriX4KAK4edLD8na42my9Xv4sY6XcCo91GIrqinmB3W21UIAsYi/Xk+VqFlXYqxT7bzs6RdtXYBRF0qIZYO1OhS79LE5hwintwMTarcPnhrVUAHfYn+ufwtaQOlStnPtY5IKSCGBQxVOTCZE7iMJLB1aSBJniWLladDTD2BStKDcFXtJFXPkP15mD0RDQa0jwB5aA3VLdy4KEjuyA92ziCzH1b7AAIGYhD35qPVmg2vhotNaBXdJWBn1wn3qcLmkCHNDqXBf+FYJmU0hMBpyyPG9xbAnKByTbz8w1N0BggSPxdVQxEZ2iM0CWRNWOzwmtiMsBzJyLuJtjjzAiP22zt3T9rFPbCqdsoeiKj2sy8tTCkfg7cCiWhVfv8PoqCc1yl9yW6v3Jl+JEa31S3Y6/kl4Wvb8mp0dRo29LHKVhQH1ftyU7i/lYLXJty6m4+QJgk16Mpmx61+fPDkjEnfsHrNiHXgBArdKJiZbFg0Rk57VHdv/Zg7TU1zMFlfk/eG1ZqelXDQZwGwLhfjjaDe+ba7W+cvSGNrteEHz2h8aqaMx2KJeVRGGsboMV7b8ymQXjGhXj83NAEVruLtTIV67tdC6DexiIEKwGKB84T2oxzU1q+oS2XwqAIHbSUbefoOUvWvHLnPa3+2O8Czr8MLbgcwYPxOycbFxQ3bX7Wg0Y+V5q6KPdIv3//X97+pFm2ZskOw5ZHxN47M09zm697r94rVAcUBFIkKFFGTPUD9GswwxAjDDXmUCOZaaD/QKOpMSMpmgGiSYKqAFTzuq+5zTknM3cTEa7Bco/Yeb5XqJK9MqbZtXvvaTL33uHh4b58+XI/B3RzGjSDUWeQ+ZnrNFJnk1B0R03ckddeBmkAcgXtlNX123N8z0zxs6yC40zCfbylpIe+1+OmnUlln1mnfobckJNKaCI7iNqfa3XF3tDayhowj+6X8x0rry0GKZ1xJxlIre+Zvze8aLu3NqotAjlZdXKXHNfY/TuTVQKycWG/OF769XrM5vurWEIwPAfOh75ni1WYTT3a4wAx0MzXzgGCxScTWNC+FETTPcBmYgQCPu+50K6tP1fGBBlcT6EbY1h5gXqYKFZqr+tPTljeBc6StSRKCu0ayvvxfu6W3GXsKqRqax0BQRu/5qKmcVWcfkVjyyfaRCiAzMB4VoxPG7a7hOWRyfT1a0EdFIfv+Zy2O/Zl+n6RwiR3eOHM1Hzi866Tfd4zK55lFFx+IqbVoDdaNnVUi0HBMYDabcuFHMtR8PzeAR4DRVfeV1wE6cX9Ac/rkAF5CW1f1MjqLkQR7gSoQuaKq+gbaF3ecYQRfHyW041XwfiZFdnlLZDvKtZHwfmnwSql1a6bcV26COKVujT04dpicC9QkdbNL53+0gKPR6q110Fx/rlVjK1NsxzRGHu34pbGhGrmxZhofbtrtzJQKD0FtLxDDSRtc8W7PXgbE6ICG22MjAg+07hS0Xq7s+r+1icXrG+DTV3xBBwYjgNq2iHe/5HX75zk6jCg3I1YHwfku4D1vlN6NQDLxIc0nI16Jt0YW4ApLPV7Ign0g48BE1W9uow9IcWwVqTzBh9ZVKeI9TG24e0eTNXB1H3NaKKpwe3R0xaMbb7JtQkY+EFD2Xn2B5SjIsxmhLWDZ3UQhBPL9ZQqR6MoOxhFzrnNmBylVYg86fMgOz6uSKkgbwklh1bphJJ+IIWIj9MdvJev9a3sEnkPjl5XXzQx6QkrEJ2qc8drHc6wuZyWoA6W/PiBZeiWOyBXtNbEZxivgrpTf9bATajRnr9dGys5gvBMc6yPGemYka8R6YVKnE2YzN4rzYrpo0neBxOcMvTTk1wNA+oYzZ4yq2ymVNjGCYklwtHozE71KRUIvRdAl4XjUnaCIXVgAMmq1S6BUwAViFtHpvzZM+C2pMF+Ni4VQGiJbjuLb6rQfv96qzprAY8U5eGm1tMp7NWF0mGNn+msiwVzItquRZNdtwVn+WBJnVVmpBKtC/b+MfphIaTNFgCwpNbAkrBVey6k7QG4rXxaoCIbHb4ioFZpVdwUKlIsJioE6FihWQAwMHKxMlb3ud99RvaecomXTt336v9egGqP0rs4FIWo0CiXOijC/Ya7uwXzdcQWR/b0X3tC5C+nLe+D/zaTciYYU4+l0ZOhApkFw3Mwaioaeu6JXVwqFYlzBSr/jVdCPG1EVgj0jrl0wSmtXYgqBLTRQtx4fWEAIEXUKTIgN3DCFSe9IuQgg1P1HK33BCstvefL/Xkw38TnY3b+OskN/d9N4yHyax58qCjgFMSZPzuc0cZgAWhU29Yrbp/hI0Ikg7S6Y6/sUAGY1+CBtyY0RVypwLhWVvI8cN0UoXaGDtATSw2s0OUoKCdFPirCw4Y0FBynFWMquK4Dtsy1SJb0bqOiFrQZsj4Lfb9v/IxoIElFH681ADp2v0AaIANZf+WDBWi2hhqYhHO0VaVIFHguaBakDwMVVKvcUo53Z7mfB05rYwJlIoU2TiVsrG7tlcPD5okh/VOFAEOgCLBQC4C+22lSAXuFe02RX6tGZX5NCwGAXBAuM0Q78i/bhrhWhC32FqTU7dwZHOsbYH1bERbB4QdXgtZGa3VxL4g9G7GesqIN2HH7y4dgAmcdgHH7Gi5uR8akuCkKWAwy9GsjEKaYnli9Wx5jo6c3rNRAdDKxlIGyj0pzUMbA45qAAEGZFFu99de+1mmm+FZNFKmqAxror37N/XikYnwhU0cHpaux/Smz6UOs0mIxB59ai8fI8ydYNazFZlsvIHhcJgUYX7j3lkdpz0qF8dr6Fcu74RIhm6CeKvTAr8WxohbBmhLCwg8Pm/kKb38xkUI8olWHhyeCRfmbjDQVlDoBK8/vRq0eQLtexQRI0WYqV2sBGq4ZYc6kI+fSVcMByJUjhOrjEfl+gOQEOQ6QUhHmPrZKVtq+Hse97hQuX0fkt6TgDi+MBVTAlqTYGVtlAvK9QjYKCrngqwYWXEhJ50xggOJoITMZnT5VbCfB/KX7RRgluiB9vCIf7rHdcRzT/GVlhfKaEGfGg+tbowbP9BHpTLuuQ+hn8sBWiThTnOj6lWD5wvp5DQj1vto6gMnmIm3d9vstZIIel3+QEeaAhz8PnPtse4dniTQRPU2K4SmwUGA+N5+A/EWGjMWKBkqHaRMFqJ+jODzOSKHi6fmI+rxTTl4F4yfmRNt9QD0otlhRJ+k+U90GWTAazravIlCCx5y917qOiu2Rxbf3fw7c/WbDh3884vkQUI8V4asLNVt+cYBcBCX2arL31jroqNIBAY5uElx+XqGnArlGhEUQXwIOP7zqwz5YlXhl2w9ge8h8IHvhrf1KrH2zKo4vHA+UjwPqKC2m0ii4fsm1GJ7ZnhG3QAHM8HdLX3/3Si6IBuguINqL1qghahQPQguUbgaJH7rAh1c9eGgAZQxEvaRXxoInwC6cENnTQAocf67YLFoPsgALeh1lA9AqkrvkxN+3DtLoL4AlaDYXzMci1JFoCHtZ3CDR4sZGywT/DoY8BhvgvQ9e2END9FvNUaxLhBZBvSagCDZb+LoF6saEXcLg6Lgpi8IMzrnwTXFzRKM3t6TDAqCiu2Z16d93JcJe4dolucfKgd1bAObIe3eBjB2Q4c/2RqXX3r9REO3+ZI7IWRBfIuJFGkrUKEP+fkabhCVpqEbpqbUhnbIZhScXUn0SOM95J/4kW0YbwWLoqMQAaVx12mOn2aPZepnsXu2bneanzZYdEc72M2XgoQPlepUhIi0VYQmkusNUmTOTGE1iCsX8HU3uLPrLex88+HVKTatQ2Z5r6HS7r359nhxSHdMSvLECRSApQC3450FARBbw8Tudts997H0y/HkpiiC3DIrXFL1SOOt3SKUrLBdBzYFjYdzxBUPi7UDLJ9xQrB2h9wAx7O/RAKueQHkVy3q4DtrR4AjosUAGgku1CiRU4FCZFOUIxY7auNszrMKj+xZL8rTaYWhgBAPWXslowF7ugZwGgbiw2V5QZy/CA/BGW4Wo3v5dFep0tmwVg2Y8u0XYMhO5ZP5zP9/X20/UkxRFRU9ks1O8XXzrFThDW6MSMZkVu8/dvwR9ZrPZVI3BklFpFVffX+hMJQkAAQAASURBVHXkZ7aKYQZ05XPuo8W6DThtmcmNMlA/VLgwn+qulyv0NaCCrrbkuYkrAnBV/VaxMbqeWMIaMlCKoAba+FYiti2ilsDPU0HN4vn/TaDsz9ApZQ0kNmCKAI31Nm+dteN+3F9OMW73ZEAR7b1SHfNQkMbCKvQa7fO1gzah22iba7w79xq1MIJzoBUNFGk6ALvzd8/s8KSCo5t2tGUleAOAwGRVftheQNABnNfiataGgmWF1K6u7P7cE8Ey0YdQ8dSux6s/W++RbwwN9B5sgtUdDAnm96Qq2+K3Tvdte1j8ufdnCNieEQAJKPY7jT218zMIfo7wTT1p9b3TKu6xfZlBcGR1bq+LsGe07V+9ZcKR8X6GeFK61ycQpbshk8wp/7HbRBEbeSjtHjRpmy1d7UK9349j1vp97yvsTr92oEGK6dAo2Tger6jZfHs2Y4UkgR4K0jHz0iw5CWtAsPE0Le6LtlY7xltrJxHbC08D8kjRO43K0Uj2HKKLZe59XTsnpAEbMsRmzxpCr8wO0VTALUkufYScC05JKdwOQ+TP79YyLoYPCePB69dys/+KPaM6WrI0ANsjbTldSHGNC2PuFp+rFUWWXtUvhx2Y65NCBkG5m6jnoR0Y0IFGme9M7Mpx2hHQwJ7afIw810egJn7OPmapA6ufGnezl0e1c8Hi84EO0NeK1ybNZqdvI3UcjO3lfddlsukKxjZE7jah2F1HEU5FKAYKJIWMheDOGlGDYgmVvbwvA4aPkbTlu2rFJLupCsSXYHsXrARvNNo2QtDPgtBBL2dY5KPSbyUClUWA+cuAmgZWyUcFgqLWgFqEs5X9JsyGXfCP4L400M8T4DIBYQ7co9Wq3CfF/J5nXjqjsxN8jxq9uLYYwM9eglBlEixvGAeNL5UAx6zAp8r7OgSUwViIdl6tD1y/OgTu27/D6+8lya0xoByI7uVDR/w1sjm/WAnbE9t9HxBXzrOtfsCwokGRG/ZjKUfdVBOmKB351CEgHyJpBTZWZH4TWJ31tzan3A7WvdOsPaB0lHV9tPK8O2J3ygIG/kOFjhxDQYqWIZNb3wmuYOh9daSp7OibpmRXoYaM8VkxKBBszxw+PzzT+W4PAetDAIpTDHovRDqT6ugzZ9kXof0Zw5yZzakLVmGtVonygeFtDXa7uY7WeD8B5W1mMBR4Mj+8ueKbhxd8uBzx4dtHYAvQTe2Q43X4KEZH/qQCyzvBdse1D69Ee9I1QEpEnIne+LW3jW1BVlgYeVSNFuAVyFYYwG+U4g8AD4LLTIGSYQCGxEqYKWPr+cIP8dmiIdiIlX5ayJBaYlkmoTCRCVDAEyuxvtcV8OqrSt/cHE9Fx76ZyFg5ctOOnwUTGFw6VT5dC5kAh4hyCEbV0FfgAZ91Gbscu1gM6Gq+pNX2w631MTv10g6vbI4y3ynqVBHuNxyOG3IOyAvZBBqS2Q4Dg2jK0X6It6qmCbm4Eh/nGSvKSK6pJiELyytDCpRrwrxGrGPBOhQmARcCPK4MzV6WnogCwGLVjbZW/rclGO0gVfc90oGeQGdNwEJRj7W/QVSc3l1xd1hxWUYs84AQK+7fXVBKwDWfAA0Ido+3FXsHtKTvqQyEKoCxVsJqmgBL7+mhCM5uBnR2yluApADZHLyxqNsbhF1pdjcPep/gIlRg3RjUXa+o6waJERIDVHrCK+crIKRv8rC33rQj97JX+IdnGwOjZmeBfUE+l/BW5dhQ+M3AwwRTkqw3+95fBJDE9kA1oM7ESsYemJVJ23kSXHG2wEaAwKjL0is+PqfX7CDfKcpBUd9kHB4WrHNC/Ty2a8AIc/gKjKTWhSwYzgwyy0T6KalZte1Hp6kXYYCYrN8zbwEFQJ4PPdAEGEQtoe1RtcAnbJ2aRtvd9Qg7IOvsiyO/PH4WDIs2BoGasJeqBYzWCxc2QU6K8lAYnKUKCYrj3Yq3pyvOy4jPG+2byvlo4FFbV+mJXshoKsEaaHrVJvmQZtYZPfuzpVUz97NCF9Lxb4SnRls89/9bxr73kPoIzlBQ+GxmGQboskIvz6i7JFdTsl5TPrv1jQVud/QttB+rtH3e9VxakCl1R/+OjG/8GTWhM7UA2l1ckBtbd6DU/QT3ElrbxOa9bObTG0jg53ICrtHGiaza1yiB4JtYkmfrle8U9ZTRhO6yIH1KlrT14J/rom2tPKZq1WRBuy8pntwIqgleyZXPptTY5kCrMHBPF2nXrgP79GvSHjvJDmAMTHoCBLWQaeav7a7TpD183B7svT259e1rzwAA5C5DouJ0WvHmdMXLPOH56QhdA4azNFC9xXsNwOYeJG29+xPJwN1fE9FfvlDku4pYpFHzh+cufNdsr8XBvN5QEnQICGuEbInjhJ6uQAzI7+9QpkhK85zRmDxFGedUU9dXBWRCuYuoOwba+FyQbV2XLyrK+w3IAfFzBMfYkKkkWSCbMEl65C9sH0eEWTB9FBysOFEO/NnxWTE9FVy/iFjeEyTKd2SPyQvtIx8Cli8nbDaHNl0VD3/B95m/AK5faUuyVJwarFi/4N+yBMTZW2N2iRlYdU5fX5GXhHkYWxKkUYHHDaeHBdfLiOUwcummCgRArnzPw/eCd/+6AmqU++SJF5mM66O2pNxZGw4sOssjXHn2Ds9kqCxfseBTLhHpB6ZWWxHkqeDwq4T7v1LMXwa8/BGr2devaWvpDJx+w/ht+bow6T0H05aQlug6C3Z9Q3p2flOAqSJOBcOYUYpguw5AETz940AfODDxFhWUJTaBNGfX8CLZYuJ7qBe1vAWPvmn8LMBTxPqoqKeK7ViQf1qBzwPe/xtBunKPuAAcgQI+U2Anjjdyc81vBeefkRUzvnCW7vhpw+l5wfzNCZ//eICKYPzM2PH597nHAMHp24Dyaub33/T63ZNc64d8jfiXEd1JAPCKUkPwdkiCV18AtMMbEx9QntDURoOVvQEe3hRisb8NYWVi1a+lbY5dItIKdDsgGLlfT7smow14stj6An3UTRUgkJJTizmJVgk1BHB//7s/7aWw0QnWR1AAdUTYhFX8sCFaLm2TAWhISwt+pG92XovePgNTPWxqgBW8Tuun5LPF7sCUVvXQQSFTQUgUtRFRHIaMu7TiMnAGsdrsOnm1xo6Mt4qVVaoq0KaZ+IbyANVnq0E8gOp07HZoeODwSmTqR5S1nb16z5ZYxQk7ler2HkZl7r8XehUpodFadeAz7n190uy8VcJDv1zvf/MErVjlvYxkLUC1oWp1FS7J/lakvw8AE4BAQ7/33/ev1VFZJbJghw/dHtmuwkn002wkcm7tYdywRW6cEhQ6Rk628c91hFN21ym2FwW94mxrxuBJekVHLTGugGYiojUEZIAV3NIrnqg9YWwHmn355tWCcCLMfki4b6l2rXW3Ti0Ysp5ZpIqQKAx0SBm5BOQUEGPF4NHWzqcA6JVYte/BEi17b6dZw/pqemK729/+TDyJqR0ka8HMvvK6r+waXblRO91+ww4B2ItMAfz5V0lmY+V4n5P/HWnvNVlvrLX1ivfb+8+6naojxIKS3b+ZOA4UwUT41O65iTXt7KkxfPYVev83Y0tAgJKs+i0ET2oiXdjcW6tEuq3vfVqcSCFWBZYpoQppcl4VRt7Z9mtTawcSIFCOvtL+NbdFKrCyastmSXd4oI1bErivVnENOyOk7vu4bd84I0eNGnbDaPBntwsSvSLSAMNBEWz+ahDFmDKOw4Ylpx9dh7OPWtUO/Wyq/gz8cxSNueU9uADtwUdj9Xvx+9L+3MD/i/UjapT2ew4kSFOAe7UvHPDxf/vP7HmcHreM0oCXZudeJRdF0F1ftPmefU9/Y4zYMyk2rqVXZ03x25Pkdr1uP/ZMo7Y2ogaY2fnd+72l+W8xH86EGx3wCLse8+BngCWNowJj5VqnytFEMd7usWYvFJFrj8vGlKmyh9+D7hAYdPqYHNi4QQCtgu/xwL4i1fp3PS4BOB7F/LL7YrXCvST2uBdXip4Idvl73ZiNJcf785eTGipCUoRYEENFFBvjZWvb1szPgr1P9i1Qdp9ngE9c+DNhEYThFStnt19vLnL3mX5OahCOBKq+12jHsrfvipuvdaYKbzY4+6Gt26vP3o/tazRDfj1kUlh9g1M/QhrA6MWToN7PLK21Z6/L4rbn7So3sb3bwD4fANervYZKTZYqUC+AmH239RW0DcWEjQm6BjWb3D1joMXNAKwy3P1tNnVwsjn6HvfWCwdyGnCivN7WtgO02LkWISjvZ0YWqMSWyDurq+UZsT+rmsiSxKszTgUUkKu7r0UA0Xy3KGoV1Br6+KLA95GpIA2FNOU17PxhPz/bubq3kwDGtnbDUoHozLMM6EKfHMaCMkRA4g0tnGyUHftHu39phYZkPsb2QE09B2k+Xyki7DRzX/86irWv/e2v3z3JTexTXN6Sc7++NZThoQACjB8ixk9mUH4gvzrI1zeK/C6zz+053CC9+SjYHiLSWXH8WKGbQsNwc4g55agOQrW3USha4H11iZuyHC3ptMQvzCZasnVhrDYLDDykqwowADpUHL+64O6wIpeAYhSzUgJKCdimAXUL2EpqUXedLdAeGZCUQSHqFV+rSl+NJiJEZIvtBA2CdO7JepkqnapV0cR6IpMhjzWxf6Aajbomoi1+r+2UtWRBl13cpqSe1pE/0wIRYXUm35FioXcFP/nqMw4pt8PhblhxSivuhwHjccMWFbUINATrnxEgdzSYa8aKbroaNeSuU4FFDfm3sUfu3IYrnfqe5lzuBgb/azXqulVhfW5cCNApWXJdISmyIjAOwLIC88JE980dq7jnK3RZqVg4DtDdYYFhoIDCG7PzR+3jEmRXGd/1t/qmLAeiYsVuso6KfE8U0ek2mvgcxPoxQwYmU2T2ilZbrhas81q2e5iTtqBgMkr5yIO9XCkGFzIr/qHQ50vtTqhGd/IKPRaEqeDNwxU/e/iMtUa8rBOu24CPAShLxLYMlqwI0mUn8mO9lLAE9Ee9lRnWDgCImjjExWhbBzEacEC2uaFhDhZo9GfXaGyJ6CxGBunDmDEMBcuSiGiqsM25CsI5mpougy8PWJrNWWFIkyIeM75694xDyrgbVowh43FKyPcBS0l4WSbkyoCxVkCeEtKF9K1kiGgZGdi5QEcwdcM9wPU6AGkBwC6IRgXiJSPkinBZ4aqnXrUSF9xxWifQ+ss1ms140ms9unKYEA9Tvw5VwMgMenfEdh+xPUhnhSSOVGCLBv8mPV1u7LwlCaPeAGYtOKwU9EgXCjmVCwGdaDZehn6weaC3PpCqn4/SNBHK0f15RRPxEiDMAdGE3bKBIw2EcFAosXKvCShvMmQqePN4xu8/fsZ8n/D8OOGyjPg0PkDmgOm7iPFzH8nSnr8JILJq3Ctd7t9uesBWQRJg/D42YacmtGLr3QKmCHQqqzEM7ihsg8H8uSXSkirSWFBKQH0eIKtVJl3ocU9BtWRC1Gh9o6KcKg4PC8Yh4zhuGGPB/bjgcZyxlYgfGmhlQaQzcyyIkWpiTLpLTMyWEYDyIo3BcDOqxl9Wud2DtoCdwbILyGDPPRfIzKhXDxN0GjnZYd3IzMnWk3uYeBZ4IhADcDwwuPRpWSlifhdx+cbEJA/WQ35XmDwuoQGtmHtw57RGZ4U46OPVCj87XeByeEZTNfW1DmVnR+Z/tyMDPFcrriMrW3VQ1PtCf2oJSvycMH5ioOwjJH1MR/Mfqfvz9R0rR+GYMU70kfeHBZdlxPPnwdRfDecPsrPnXVxUec3Doj0xD0DRAEkcMyPaEyLX3ejgV08yALMJZ9QIfUY5eUCvPenxs97+nn9iz/nKczNdBfGMBpwDwBZuwblyV3D64oIxlRa3AcDzPGErESH28TD71pV0BaYPHZCAABHaANGW3G7u4wT1AwVGy7hbl8QxlMH3gfWfs0Jm+0K90BBQgqAOd5BSEV8WpM8KTYExVavk1tZmpY93qMcB4boh/vojtPSRcGW0NpcCTD8EyHcjEztjLMRF4MyOsHKd8nVs+xsAli8rrj/3DBEIK8XY1oeI7cHG7ZQeAzHekRbHu/CrChhLB+mxxsR4AxtZBVBBnghGFOlnYjQmlwZT6J2B5btDi4U1AnrKnMyxRJy/vYNsQtHSDTh8z/ubvwS2NxX5BDz9fkQdges3FXUy4TCj4I+f+PPjJ67P9iA8Aw0w8rgFgra/UATyeTBhJz7X4Ykq6/moePkDQEUxfArmB2iH2xvFfKzQQ8XwsEBrQB4SkAXlEttYPGc6OL24VNpy/jQgPUWECgwLf2a75z0Njwv+6Ksf8LxO+P7zPbaFmyJsgjxQW4j5EVX9p4/0yZejIJ9szY3y7YDa9L1gfAbOP4vID/Rb+dDBwJAV+Shd/HOBxcbGljkY/bkAx197m2VFGQXLuwHbfcJ6Hxn7LIrTbxbE84bl8YHj0TZgeYhNb+dve/29VHLZ0yJWjQLqVCEnh10i4n6u5C7gcOdRR0U4ZdQ5QmchgjMYDz8DAAOq+ryLEHXXd2LqzNWEnIqhfHRyvTpVjxYk2GiDCi62uoMR9CBU6LQkdmd7nFa8P15wzQO2GlBqYIWnBtQSWOkaIvb9Sx01Q6tqRShc6FEyq6Kh9D4eKd2oVbQ5bACt6uUUgoagDgxenJKsSVvFGQJSy6pAc+BpFrSJQjDKdyPWdggUU9msA7n+YSx4M824HxhoBFEkqUjBkNFYUYIyx7cB1L7Or4OuuAFY+c06dvTZD42WFDuitliz+iCtX69G8UKOmVqAAogp8PRvfVpMgEWVox1SaD0PEAGGBB0iZA52mtvv7dAYCQF1lNb32tRITVZei6H1QXtw4FXOVvHjz9aRz5PPmF+X2ml/CALdtCkZOk3fbd3t0fszXJjBK/V1qqSUT1z/Wsk0wCrQayvk3gAGRPQsgUlcy+Ow4XG8YjWYNoaKl3Ey6mPqQihtT9ofAZxz0UYm+GVX/sC+aum9TGp7HRWsCOR+WLQkxe4RQUmzjDZfOVXcHxfcjSue0oRnbjiufQ3IlQ8sZBOGKEDwqpuXnkC7jbHi3eGK+2FBEEWA4hAZQT1tB7wsE/eI7RtPkp1uDPCQVwc7CtD7Z3fPqRmX/bFgvwX8LUG0/kQLbprd2hqKX3+tXVTKBKigChWza4CZfIxkKjTRqt0ixthZOc5K8cTMen4YuBhQsRuf1SooXvUVtGp7Y1tUU0oXC0686lHQKgNNKE9g2groAKklU9WvZe/PKyBbBCy49fEprY+09HupAyAjk8S7kXZ+qhGHmPGcMp7vDiiSUMfQKLneytLWzJLxXmHfnU/oaxkKgM2oZ8kkAXxeezXT3oEdCjuL2n1WICmG44Zo+1kVOBw2PB4WLDnh++2Bz8uUrz1obc8e/fIa1X9QHMYN05DxMC0YQsEpEdSJ++r/zU3h5vyOLsyVcANQcEaw7hg6aEnu3tfLq49hkiO75+H+Q2jf60bfHAN9tie4pXD+c4jd5+x/N0Tswx320RIwqUO3Z1dHbSPisqBGiv2p+yyvRCX63ZpgM4GtWGzgXTXBJI2MMRp44+ehJ5DB11pumQqJQGU4ZcRY2bsNJuAIsbkuv8XeHoDWrlRHQMcKORTEoWAYCg5DxuO4QFXwbGdA2+d7JkXY/Vv6HhJo21MUJhSe5wbAiI3kocvhQlf3e25Gvu67wkcdbTM4MO+/bkI+EiviUCACrDIBiKgrWhB+046Gnf+JitO0YUoZS04oVRi7VRYoIGpxECy5lgbStYT/VTxdd+0/zsQZLmoJjTSwu0YgtJJt9wmuys4F7Ym0igBJGp1cXhbIvAKHETp14KaNj7PYtY4R4bpBLxdo2dHyd9oGcQXS2WKokTTx1kZgokO1ArFV9s3XTxXD2xklR9Rz4kSPI1ryVgczFU9mIiCBvtvHp3GNpflvzkEFNFXEQ0ZBugGefRHFrl22vlc82YqX0PyRmo3EVFAuieC4CyetgvGJY7a2x4BNYW1Z0lrwwlRQngfgGmyMG5OzZKCOs2XU9XgQMBgLT8eKeJdRngkYhbxL+NZ+zXmigGe6SrMFb0fR+4w4FUxTtqqsMJ7dAlsKnc7YDNB9kSAsga1DlvySVk6WT4wVbyci75+HI0qO/TkL/V2FU4pN7HJBDxLtcDLJCRtVKZg+K+b3fJa0M6/QolfqBwB7lpr5kjoA5aSQszQKs4Nqrl5eRgOAHOR/njFc73sxaWCS/3d5/c5JrsyLBe7oiVgR1GtswZyPZQgbmkOFMJvXCMp1Xw8IkYiqn4Si9jOGNIgFvbHNYuJ4jZp6L3DY6KS8d6tMQHnMQFLEg5X2CxEQPRRsSSGriaE4B754cOQ0VDqh5/MBW4n46v6Mn99/wiWP+P5615zlFiJqnZBmQ1qsRwW2+WO23qOyC/7tVaO08RbuWPOJ95wu4D3ZfKp28OyC4TKxl1IPBcPj2qimIVSMqWAIFUE4muWyDfjuwyPyEiHXyOpwltYv02I1o0qUE53c4cDMvKrglDYMgchorhFPywGX70+QJWA4B+s14LWnmUrTgFGMdteerhzM7Y34TgHa20kbmQNzWvbs6hhI4RBpFDaAzzZuBZwbuvEQSZHVr1wQlo3efBiakIlkJghyPAJBIFuG1J04T2QTvFNaWrD3ap/taad+kAc7iOvUxy3JyoO03BUUu5c4SxMCAdiTVbJgCEx0m62MguUxNKaCZEAnHjg6VaTHFWkoGIeMFAvO44R1GpAXBnp71LU7Hm33Mxwy7k8zjmlD1YA5D3hZJ8zZ+nKLILxao/1zkNIPdD4AbYF7+5mM1kPOL3BvO0jQKEOveki8HUHHiuObGUMq+PrhBce04ZvDM96PZ5zzhO9X7svn9YClJPwyPGIbRtQlIF6pnilXfsZ6UtSDop6KHTQb7ocFh7iR0gbFpgG5Riwl4fkyYVsT5JyoMnglCOOHor80WH9oZpWoXq3H0pQIGw3ODiffey0Q8qRuDCZCwyg6zJmB/U0/lqApzwJwaibnPtubJ3vYxZKFdqE7O69EVLc7D3zNZj3os8p6nNmH1IJLD/g2CmE4RbAlxVaZEWvxCB4QFVivqXRKkqLZQKez8VmUyUbxjBXj3YoQ1GI+wRYVJcAU3QlosB/0VWKVCV7KUFnZigXVAK0UCoIBgrBKcLGWGR+N4C0k3Dt805CNVprpr0Li130Mh5roGhQYFwNtB9i4Hqui+DkatTMzBgUSAca3jxfcjSvGUDBEJqRfTmd8Wo/IJeAyj1jDhHqNpmItLUBUQROUK3cVuN8wHjIeDgumlJFrwFYiSg2Yy4DnZYIuEbKGVg2JV86v9KpsKOyzi2tFPoZWvXIf4BV+n27gPbe+ng0QS06MpbhOuhZSLkWgsWcXMiTgeOhAX5unS1+PlKip0ITY7N8xQEZnnpg9TdwLYqAXrLe6XnkAkRpMO02XHaCsO/DHglcHcpp9V3tfW+/ion/CexzP2p4DQRKvmCqKzXbNJ0V5pOhdGkqjYKoCy6lgfeuAAj8vzQJkNBZX/x73nwTF3XHFl/dnbCXiw/WEJUfoXcaWIoYPkefPiq7UPTKwHc6Ms3oihqax4vdVI5MaKDB+5rpSqBO3xQJ//juqaqvwRtr6cLdiGAre3V3x/njBkhPO24glJ3x+OaDkSBZNALI4o0V29taTZG+BWnNEDBWjjR25rkObWlGuCVhDY5n4iyrhtr9d/NJewQHruBud421WiznvHRjk6xs2GwsEQJedPQZBWAtCNq2ZMRpLxQAdn1+uAU3kJEWeAZcFabH+3McHSB2Bj/7GnWVVJlNatyQnVsF2Z9Mx2nUwaZMqiM+BarsvEbkeIZtgsBgxnxR6r0jngOkDGoOMbB201pztZMr4K9dlfmOqxe8q8LABS0T9YQKiYvtmhUTF4bhhGDJetoAyh3bGagRe/qhQ4fcSES82O30VEvjqiG0cgIeM8Wcz5qcJ8dcD6qT44Z+aH71WAwB7C4VcImpmcssKdm+Zq6nbdFxC89l8VswP4nNEnSMwVJT7Ar1GDE/8vQDp56gA5bGg/mxj/nFOZBvdZQyHjMNxxRd3F3y+HjD/1QOGszGfrt2GygSs73jWpOcIfYkE1CaeGdsjNRbS/YZpzMg54L//D39AnyaKskTc/UZw+EFx/plgjpZTXUwc0XKyww/A4UPEdg8s71jMqQ+Z+/q7EWW0/fb9hDT3pL7tj5V6OvvRax4Xj08wkMxoyAUYnwrCWrG+TZzQMxgboCjKKQF5AlRN4Z3q23n9G4DYV6/fvZK7rMan7s5eCukkLVizw78luR68nXiQD08sf68PwPVnpGbJBiYGh4oSFRpiUzn0EUBho+z4PnB0Ski+42asoyI9bIipYBzp4OZ5QMkR4VgAFNQtIIfEeZVVIAsaorp3VNuVv/d7j0/4R/ff4rv1Adc8YCkJqynGrcWuyQIW7CSzOY6HTgy7IJcPjZ8ZFrWRHAFpFtQNbZzIdi+QkxgVSXuQ4IftsSDdb/jZl58wxYwxFgQoHscr7tOKY1hxnxZ83E74H+T38TxPOD8fUK8J4SUiPhMZI9BglycApor3jxe+nyiqBkwh4xg3nMuIFYLLOiB9Sohzn/WZbGh1mhXDM+nruOuzAgEgrhVpVpRJcBkDR0gAnRIFtAOSSWOvpvSKOQNUD37CWhGiUFl5XhksHSdoCkxwL1cG/ENqiQMa3XnogVO+TXKdOu5qf/uqf3s5lXCX7PbDF01WnRRlQN8YxSYM/Hxh4l8BG9JuFR9PGpW2vt3LLUVOwDmux4y3jxccByLXUSoOQ8bzOGGeB2yVveNhDn1+WQAgXVztMG14e5wxpYyqgrVGzDlh2RJKCdAS2n3r7o+vEZHhCp/X+hoJ8MpnnBXi/RnBk5HeO7nfG96vURMophAV7+4veBgX/MOH7/F2uOAfTD/gJ+kTZh3wXI641Al/Pn+F5+2ApUR8EGCLA6vaHliqVfZOhXS+MeMwZBzihvvUR47UMiAD2ErEeh2gc0S6hIb4RpsJzXFQAEBxqThzz3exKwIUexGhaGNUmh9rj41BZPGRKlEAr+rWyuDQhab2vYf7l82HhgRgTKxIlRXq1E4AuhusKKUwEbJEda9NAKCJZLlOQkty0RPzMEhX63QdA2OUFGVlK0Yi2lLQxJDGZyAsFuTt+5Gk/10nRXzYkIaMLx7PiKKYc8KWI+agWIOizhFlFehm17v63ru10RAqpmFD2pUTvXLviquOPPvUAKiNjLGX22qr0AUB1JMYJrg1CkKgiKJWHv5xVVLgrKKdjGGYK0wAxRgZzqxIBV/fveCrwwveDFfcxwWnsOJ9esGH6R6f1iM+Twd8WwKyAEUCwhaAgta7VEarON5lnB4WHMcNbw9XBCg+zCesJWKrATErruvAStImSLMle9dbsE0qkK4VcSmNSeX7FWrnlio26bPEfdzOTVV56EyeqLRhVoEFkjpwoyEAx6n9n6qyBZoL1fBT6omtsBLiVWWI3LSflDE23+wMKqggZq5x68mbbeSg0/J3tqhBb8BBr/JKuW2H0ERikauNOhBGqmr/rFapSjyD092GECsG67vzVz5mVjGsl9t7AEMVlIONqzKQ2YHMEBQPhwU/v/uEX10e8e3TPUoJGI4b6lSgn4+NQeW+iMmbWN9ptbiNIFXd9ds18HHguT8++3pJ+96PYh17ZjfMlWhssfsZj4cZ/+v3f4X/4u4v8cvtLf7s8jW+m+/x+eWnqFkQhgqZCooosia0ed0Ksn98qf3MrAFbCTgkglprTuxTLAEw4HM4s43K+9nDpg1sDUVvAnlR/r9MgtVGFlEItGuJsErXr6O1LyyFRQ5jZ5XT0GwwzBk6cIybRqHPT5F/+74RgYQATZHAy3WBrhvk7oj6eELdM3PMN0kRjlJ6W0lL/UDKbDmyiihDRUyVfeixouQIvR4gc2BL3UJgOF1on9ffY7I5vIw4fFCOB3qAgVssXJSRgA2ubGnSSMGofFLImxX39zOefrjD8Ckg3yne/PwzHg8LciUjb54HbFMCaiAVPgGnn73gT7/8Fv/mr38GXI5M1mcaVTLBs+Xdin/09Xf4M/kS5VcD6gh886ff4ad3T/gf/+wPkP56gM/pBlgRrrnvYz/TpBKcFuXYIjxZ0ezA+1ofFAhAOjPZXr5QhDcb96aGpjnjYnkQQO4y/vHPf4Oqgr/88A7rmpBSQUoVD4cF35yeMeeE8SPBA69Ae5y/3guWL3geDy8BYUFrt8j3FQ+/94y7acW7wxWHuOFf//XPEP7ygHJQlC8XYBMcv6u4/8WKfJqwPgriSgVjVAO2BuD+lxWHHzIu3wwUwQtAOmVWyg8jiu/1T4FV9ldJLmMhtFZDt3361Io0F5QxYLtnv/LwtCHOGeub1ASragIkCcoUIUce3mFVDFfmEy48+7e9fvckdxwaKivFAoDQZyQ5lYSHhCHbLpS4oFVq8olcfjXqGSKpugCaUM2tlLZY/6m0w6PRbna9QSEDZY2kl9irbERugqGkAFAM/aSiGEcCuPCDq9NqJXXp25d7/PnhKzxtB3ycj1i2hOt1RN4ikh1UjdZUPZHwKqCPhwERZE/MsrZAx/tyXtO64oxGuQvGvd+LUskWUNaIp3nCcYj4+vSM+2HBzw+f8PX4hEEKBik4hRX/4fgFolBWfImKXAT6HHhwJ7SIVew+zsuIJVQGQaKYS8IhZswlYasRy5aacBEu0miaIe/EEbC71rpDd2AB04VJYNzMwZj6ZOPz73Iljb064MGU08HryNm3GmPrY/eeFk2RCssW+ADgbLr9q9ZWKWuvXHZzw0xcpEj7kbjgdhRMQQuGPcgM2ZQbA0h7sVlodacwTNtGC064hWgE+97CxlhwJUmrHmgON6Kj7bmDgQ5c4CSTptJo1YZYawW2HHFee1mm1IAhFpTKYN0RTAerOCfRKGsCzsk1DMaR/jYGTHijGtg7HwqgK/re9Xt08MaFYCyobMIMothKhKrg7XDBT8dPuDOZ7scw4+v4jKd6wKWOmELGFL/sghQ+iijtckLb36qCXAJetgl5FyzMJWEuA87rCF0jJHuC2/uMYfdLCnav1DQ7UwBFSYHa0IN1xY1tc80B73WpKbEn9Mo1rFPiOKbAYIBVL0t23W595EqoaOrKpZC6HAQyDkBVo1F2VEGnsaHjjkBrNBsW39PSqWDltvKjyW2fVtfGsPnYEHveN4IstSeJDrq4KveP7LgAZQ0Qq+AMsWCrpBSPQ0YIFYuMqBdy5Kqb8Q5vcTvLW8T5OmFMpQE6uQact5HtB7VXqlWsF8zGtMkeANhVtG6ScrvetLAfv4maeHXNnl2j7u9sn35SoKAA3DgWPA4z3g9n/P7hA36SPuMQNpxkwdt4wS/v3+Lb4R6fL0fkOe18B9ek0U2zUDtiiwih4ryNGKwyHERx2QY8bwnzdextM6sF7qYVEKxKu/ftYa0Y3We3kSH2vQzEoI3WSb0E89VR2gg4qS5oE3pLhSqBHRegStKSYABk30wjvGLrwNCtzdCfS93NyW291eg0X09MtbdTNKXuar8jgBhteB/0lz0t3808Ga1u7JVaUonJPPtRP75di69V2az9JlZQ9J8QcEoFerART2tsFWO/fp8dXkdtW7tWwZwTPq8HvKwT1mUgIyGAzAN3IdLHCLrKP2Dnb5RGfw2FQFBOtoZuX9oTwzTbmtteaoCvoCukH61KdKxIp4xx2vDF6Yy30xWnuGLTiPfxjP/V/V/ir8f3+IvP7/AiBwNbLdGvaKBlAxrs/PF9UKsgl4jnZUQMissyUL1/jVTuz9IAl7Ymyr3L5FVb7OU+3tctXRi3pqtSa8DGo/AcMDPdtMW/5bSjzQvjFV4nv64xcFxZ6WeH27WA96oKS3T5zMXVxV+Jbk6fMspXsHEwgjgzuc0nrmucBZoT6qTIh4I267UIghI08VdV7m/3J2RpahshF68Wyx+ZCLa2E+txZqXf9sCHEU9PZFdsj2QglhrIFqvBNBQVcuQcWlfOXp4O+H+VnyC/DEjC+8r3ZqNWmApRcc0DUiq4fsHY7tsfHvH9xwdgE2wPjEWSXa/YvhVjt7UKr6L10u/jEo/N43x7psVrQH4aOPrSmEqN+ef0/mvCv//+CwpYpoIhFWyZ4+Su64Cn9YBDyij/izM+zwnDr0ZMH0OzyTZSKVh7ohAQLUfSqOfriJwZFx1SRl0jYmWcUr6bMCy083wXCb5mFhRvzvAGXgnSteL464DxKLiWI3JSTCvXN6zA4VveWzkARXoFPGzeh25TZYoiWMthOQRcHkdQ04K5UJ0idGBhNF1YxPNiWE1kNpRRmHBXIOSEsvzd0te/c5K7LAuWpXP9n56eeAGnY3d8JruvCVAbadBmx21MBFyZU5TDqUVZwV3eKauTQ7UgoXKzGbVAdgPAO91ZLMBBCzCq9wbBgwhBPSfUqFimQMG6JXAzp4rTYWWSOkcazFFar42O5NBHF57YuAgf4yP+TQ3YcsQyU3BKzgmyUkmRIy38sOHBWCNQjhzHkGbFeK5MkgwpiteKpMB2F7HedypqC3gKMH2uiCsX3/s+fCRNWAXxHFA04fNwh/mw4g8fP+Cnhyf8V/f/Dv/J+BtsGjBrxA/lDh8e7/DhcIdfTY94WSf8tb5D/Rz5DA+VEYar0uaAy8sECcA5TIAofoh3CKG2GY/rklCPFSoB8smayVc/JLqDkAoE3Y1TspmCYVMcPtEhpWtFWCu2h4T5LYPZPHXEG2qCZHfcpOMzWkBKBx4BjAi5ArtKAAD23+6VCVWBeeEM0RBQpaLmDZoz8i4o0mWlsNCMNnYJBl4AsEHmZpuh27sH7qhASOx3KROFvLyar0aVkcKDsTmZ3cudjgfPw5kHzPro9iYI14ASbR6aBewhsDs2xYKSArZDRs2B/YshMEnz644MapfrgM9G8VrGhBQqDilDAJxTsX4RHux1YFXZA8G49vsGegIeZ5vtV5XATxywHSkuMDgYsAd1lAejCyB5wltNBC4ExbIl5Cngj6bv8I+mX2OuAzZE/CQ+4U8HwUWfEaXi19tb/E/jT/FduKOfsmDb2RCioDL6GJgn1oDvr/ddRRnAnBPWnPB0Jrod5kA6/uz0tH6/koF0KQRqhtBmHHv//Zh39wuAQ++dKtX3Sg1APQTb38Dhk4MFgrBVxDlT2bhWjsyyYL5VdiOFSqonCsiMascBOkSUbQXyhlI6dbnejQzczrAePTEFcV5vWOWGSRMykC70cauPxLBzoBwV5Z6JmovmoFXRHWAxWqsHyNHV3Hd9+uhJcdgE9ZJAIVfFEAoOSVBCxd24IoaKT+MBH84JNQIbTExkNUpwsL6qCOg5YZkjPpgPq/b3vJG+iEyUOxgIsz0IiiUQe1YSq8QWXIbb5LyNzhqYXbcEPnAth+J+pH+9qfNuAh2Bw3HF43HGz46f8A+mD/hnpz/DfzJ02/xUP2KQgl/nN/j1+RHX84gaQ0ucfdSSWLCjKWAbBtQS8DyQ8fM4zRiHgo+XI54/noA1tP6ydOEau62npWL8nNFo5SIYXjJkK6hTwnaf2pqpsAro1c19ry17xwLKwGQyrhYQT4GiLCJAVQSpgNl98+drZtIx2Ug4oDNH3K8DKMjQ5Qo9n5F3vYqspvH5sBokzX81ISztyb2fwQ2AVKu+XyjOWI5o/lwqCPja//Md7YUiVPRj630gg8MCv7gyZljVWjWKQK8JJVeUWCFS2DoRKsKkGIaC63WEPiUTzpS2P1C5dynQZr4mB5znEb+JD/j4cmL/oQKYiNKm3BkZ5YCWkLbe+AOBpDKQfpquBNXyMdInS38uniCPz0wQt1NAPlrl58wEY7tj/93l94ByXxDvM75+/4SHccF/+uZX+GI44xA2nOuEfzT+Gv/s8IR/vwX825ev8YvhDb77dI9tHiE5kIGnaHTyvvn6OZpN2fx6HTkDemO/oyyxUTVrYoIWTOdEMjC8VOvFpw0UCYzZQH8VV8Xp+2o2VRGyYn2TWH1S19OwhH9l4WR5m24YDG5raQqIU2ABZ7BKcmRiq8ZMaFTl1pYCIEXUvKFGRZUNGT1uOfzFR8x/8Eiwr3LcTRkV6xdk1h1/mTA8sz1le6CvHJ94XcsXrA469V5EUFxZ2fqvdaDtSwHGT/SF89eM5acPAcMz97TPxIXSF9/9ImB4Vjz/AYA/PSMlJrkv89R6UmOseHh7wbImLOHAEVS/HIFlwmCtF3pQ5EMFgkLGCokVh2nD5/mA07jh4Y++x8eXE/TfPGJ8Al7+oCJ8M2MLB0wf92AF2/XIyHIfZQWU6mC7WP8zbX186nGKRkA+CdIlcfSlMQKWd9IABVRB+hxRf7jHelL89J98i9+7/4z/z/dfYz6POAP4Plb83v0T/uU/+z/gq3DBv/zF/w7/j7/6OWqJtNkikGsE7HytEwUE5S4DRbB9nrABWB8ThoHUaZ7ngrtP0hgG1/eJxTI7z9PF/bGBPcaSnD5m3P2ykIH2duCe/YYjVk+/Vrz9sxnL+wHf/RcJ+agYnygKFhdgPFeETZHOhZT1a4bkis9/eo+nPwgYn4C3f75BcsX6mBjHZuDwqWC7Czb7naP6oJyRuz4y9s8nQZn/noWn/tW/+lf4l//yX/74G86tLjuaYenotwf7+xEenvQ4UthVOul8btiNjiw5ZdPROnhS68giEUkEoO6DKkP2IOAIB69QWuVmK6zyStQ+XNg/ww5pd2rt1K6CLUdSXexavF+YEC+sV/QGVOtVzL0j3r065dPmA1sg5QfH/rm057hDFF05thaqPs8l4ZwnrFbaDlAMUjFKwSGwp9ZVkkWostaqCf4Zjv6vEQgKHcAKNCpUA0qO7NNcA4ep2yHb+1Ac8TdzMQpQyERHWYl0lNeSBQMGHN33ZFJ3SV4TozFKoUC7aMaOHsXv9QenIkwMAFuk3WKo4s+f/jv8+ct/91vXR6pV4AXwEV1WZG30l5bkGkDgVCfIrorrQQyUUpCi/SB5NV6nBYXSg/7XVT9ee1+rNUekaKiwJbvZ7Fx3+2n/OWJxoVS0Q2YrEddNEQQYUybFq3AIdwtY5ce26ZTj1xUV/x5sfUJ59c3Xe8UrgtorAFJszSurKaUGFITWUxnB3pMo3JsRiiiVYjpxt/n2z9bF3IqgloCcI9YSUbRbznUdmFRvET4/s7FLvKJplDZP5l1JU4Jw7mfWdnMq/b01GCUdaOINXh2p0fxP7L6Os4UDpASEGkkrzaSMyiskH47yv6Ix//nzf/832jmVhKUxAlQBH70Y1r4u3kbhaxNXGoSrmkoWyCKk2jndebvdGzf2F8iUaf24u3XaP2sUrtVaIobItdpKbKBELj8+/JovK4JGbSxmQyVgzexHLZVVzsZiAZov8n8z2NnZEdD2p7dZcD/1Z+5VARfw2Ps33qv5MfPhMhg4WOmbBSAjIWy4k4yjkAdZoThIwSGsZOpEKo37+L4GDPp9mP3ULCghYN4Sg/84ULixhnbmhk0aFa3ZtZ81G99Ux9h8kri9meFY22IbweQq64D78+4vG0gdYfNr7T0qx0CFPatm97xF9ovjNmO/Wyr+3Q//N/z5p//7j+yB30ej2Ylf7z5OMRDmtcbCXlHcz15XTnc2j7ZktV+eRjQxukZldrEui1P658J6BKX3nJcIqaEJQ/YL/623B5+QgApokVYtynmHoBqLyEMbZyjcnEG/7eWubHe9QfQ2vtF+/rnA0S1wZee9ksZfakBR8+cQDFJwEAJwl1ow68jPgFX5gja2382l+fv7NVRBLRHQyljFBTi9f7qig25+L1l/xETTtmd3z2Xnv4K3kuyqf93OtYGGTvVubVtFuwaDg+ZrhWRjLDSxQfs8bzMZol2/2fkP/5cfr1MIDZBuYnTKufPqdKu2HozBvd1OMu1Dtl2FbjXdlCKtrTDsfEQfAaPtffcAXrqKVUHVEkrGK2yp533mLRKIsLE4OUeulccLbkONmcUv+kjPnCPmLfFHRJG3yJAjeEyu/fp+W0wNXm9VQTEmYWPtuA1kAn5cN2njffz6PP5xX1EHbXR+tWLGWiIumTYdBop98nYEm0ZsCFhLRK2hT/6zc6tdpxdKttAq8ABQ5sQ+403az7GiLEaVN/PI/Y/v+86m6swNVzoGYCwY0xc5RrIfdvvCwcNWiR0IzmgghTdP0gFdK66056W1aXM00CwCdexV9rDx+Yfy473/215/5yT3X/yLf4F//s//efv/09MTfv/3fx+S2VOZzuiqs7YZpFKCfbiqbW4a0fikfYHEe5SI9JTnZCJElHT3StOeMhRn/ruOwHbP8vbhE5GpMoZezQ1ANSETycKEAoCr9+kcca4HSKCRVVGENbEnsgA1c7ROeeSJVq+RCxwU68pNlMaCLD3wczpDU/Zc7fCriuFSf5TAhKJAVRqLzY2cPtMhDheihuuDVZhd3MGfXUDrx0yzOR7h+IycI/7i83v8MN/hi/EFd2HBnax4G64ou5193kZ8vh4goSK/JRokRt+Js6njbYI6k/5U7wskVsgAqFTkpxHpU7TB59x8cYWJPynSpSJstSHnrW92K5BcUY4D1jdUPo5XjgLKx4htonP2ypZvCM5k6+NEpB1E7FmuI6xh3+C4IDfntEQhrc1pnTZb1J/In9z/l/ijt/8b6Dgg1wX/zX/4r/l7KSFdK8YnjotwZ9ISeVcZ9f+b2IJ9KmqkUydVRNrhw8X0jUvhD6elE+Xnj3g/YaO+O025Ba6wilPA5eMR13HCZAIO65qQt4SaBToTBYwmDmaXx7+0J5C1sHr/ko88UwOjc52Z5IX5VkUQsEO+0iFpjI2iR+DBUNDdPObxuXKvHwhs+Tr6jNZQgOkjk4B1oyIklGOBChLyXcRSIr7fHvAYrniIVxxkw6YB35UFFxU81QPOdcIpsc/4eploD3agQ9H6RusSsMmAPJDuE0wxXAC8PB+gTyOre0ZR9ipPmhXDSzVqTjF/Y+h+ZSUgLAXxwv7wOsbWfw0RhFIRtoA6BVZGEhUG99V8ingE0gRttBQrXgPiJWPIrOYi7RK8XJhoxcgldtChFPzx4Z/iD8f/FMgZWVf8N8//J17vecX0uRB9n6SNozl+x2dGqpRguCiGc21JFOlftE0irnxGaaYP2x7o09KLYDjDKiW9ZUGqidJNu6ijAmnl7q1XGj/bPgJqAD4+n/AyTFgX9ooz8K0oW4RsoQVncaVOQLoYlW4SaOHWR2VA8BImqodek/lA2kY1toILL7GNYhfAlN677HvJKcmx+l41qqHtj+Y7LMhnhUzJtrXes5DFRnFY3yCAU1jxGK44SEGUgKIVFRWbKs51wqWSejxNG66HiHKkaMv4mWvorQ0cL5tQx4oXHHGJis/xgBAU25pov2vA+MlQ/qu1kBTAqcJhLUAQ1CkyiAGgyfbxptaSQ+RMRuppbPdkKe0THX9u7OkUU+lkFYyiJIr0UpDApNVngGoKBNjnAlk37id7M3E2w7rhj4f/HH/4xT8BaqWdf/o/tmc/nivypw5Ut8BMehDlQaqDtXuQtZoSaFw5nsWru5I7TZHaA3zv7Z7B3PE7xfhiAm+2vwYbwxZM+CmZIdVJUO4IumzXgQyDsSJO1BLBwFErYQVgStAczwYMNsIpa0QdKzaM+Jwjg+zIQFfW0JKHOgFo64ye+Nu9V1inSEO/dpWuiJvzjGc9UIzaG1c+s/l9L2Ko8OvpKSJX4MNwwuUw4M34FtdpwJf3z/iT8Vt8qif8n1/+Cb7fHvC0Hnh2mL7KkicgRCYB8cc5ecjC/OiSUESBLXD/+Tx0L54UazlaWXWNC4VN08sGiGC7T61vNs4OIvm9WbXXktIO4LuAH4VN9+wPBzBFrYruoJ+QBTR+d4ZsxYQzK+Q4tthJitOeR0CA8duMPzn8U/zhH/+XqA8nZF3w3/7r/z0AYPv6wfQ72O5y/M5Ei66hjYib32tLoMNq8bkaJXUTDC/8GkF0E8U7BOSTYPoouP9FNZFXQVYX0QstNuA4LO6Dh7/oGiw1ccRW/gv2jNZvFoRYsJ0HyBI5Gc+S7MOZse36tmJ7X+C972EVTN8b2+9E1tM6JqzDaGJippXzrmL5gsKceTHBp12lv4FV2fKYI7/WxrHtErjhzCT99H1lsnofWq9uvrOWPeX5MH4G5JPg5feB8OVMcHEmMPjDx3t8ej7izf2MP/j6AwHWGvC0HPBf/+p/i6qC//Hf/gGmX4xNAFJsjWBU8joo0ktE+BgJEB6Miv39wGu2BH17UMw/rUABDt9FVltnxldhJcOCTAaBWNvR+kAgPd9Fu3dnkfGs3x4F3/9n7AdKF8bdZHlxfc/OYHnhQ56/tLFCjeVKO3Kg131+nCvqSBaVCp+vFPrI8UVNl6miLK+rJL/99XdOcqdpwjRNP/6G9k3ts/QEHRVJM3sVOG/RKEFGT3REK9rvNuR64AECaEe2d8i/z5lr/bjQ3v/ow8mLmgPjH6ezAKCao/VUYomct5mYJIt6Rc5VFwHYuBfNve9TTTEwxtorupaQOIL7o+qrJWT+M3wI/f817UQLKgCtkESP6NWchujcrAE/u8/iY6Ky5IgYBnzOR3wqd0AETlhQdtFzMVVNABzALQEwCfE2m2uH6JZi6DKXnqrMVzo2V970a6JTtCA/M6EUd9SW5MqUdj+vzYH7XNVGTwdaD2hzTn5g+GPYiXu4OmeN/V5fK1rvaW0IAagVQSJCGqHDiJvRKiKQzMRdgyA49cbnoG49GPB18L6vYGImKGiUeiKiO1GpVolHC57F11R7cIXXf2MXiBSBZgVWotVbpPJs3hKpLiZS4vupje7ZO3oFk1kV1C3yvRz1dLDoNfUQt9dCxFPaPQAd3FAfk2EODZDmPFvCo90fuAgKAQNTy52kKaSXGnCpI851wiFsluRGXFRwqQlzHVA1MPhPGRJqB6/dRu3AlAxoZh8cexaJJIso6hIRr9JYJ/tqbutPzJViZ745bJ2k0v5lK7wvoy+30TSZiDPH5HRBF58tKVUbLdZnDUPpD5ABGWNnKHhvYqloDeNt7JRHl4qAgIABkF0mDQClIi4VcQm8lqTtgIGyL1UTaXpp7r7Lfb4GRT7E7q9XVoHrKKiqnc7e1roHEPvAr1WEtD9j3bxiDugmyFtkX+Aa2YselH1qW+j7af8na1s375GiIJE0Opiswa5N2jVpBIN/qwA7oh/3Z6z0tbup/O6ee6eia/u/V3w1sGIXNqX/TrxHybTBotJE+QoERSsyCjYt2ADMdcBSB7IYIml71LfY9RXbUrMSKwgIqEtki4OP0CvSArTovbgmwnKzJgpo3ffmu23Zc6pKH6xAKBXVkC3vmwNufTd27yOhPz8NQBiCgZWhJblwRogIvHrMqoa2P5ozq4hIpDnXPWqkDRj0e+q9aN3/7gPcVrGz/bcXMvP3ibMLFHXxKSpv97YLwJLGYcdYgPkJq3rS51nFrwiqBGANkIX+qdoIQIiaefketz/V4iYxuw8CDaGPqvWMyuIrX5sGWu7Xpl0fbq63XbMroutti8E+oaMP2/Wlm3/wgDesZIVtm+KSxzay7SAb5jrgF8s7fMonMg0ApFBRU8UStTPmXu87i4vYcsUfElPN5ugiX2NpP8dY1unzjF18v/bZ1jYtINhZ5SOAnEFQGQPU1GPcajo0N+e4/PZ4TqpCrivBmtcMBn85dTYxHpMCDBhQwwjsfiWf4s1ol7gYSBlof+XAJNSZBH4uE7iXJu7KOchc67xTH44rjLoufexLMUDP1lgFBiQLxnNFeilY3qU2Ymh45l7ZikAkADlAFusLLmC1eLFnlhRyzNAldsaJqVSHxHusyvgnzKQg16jIDxUY6Y80i431+y3PvgAwkUKxFKLnHGgsVU+0UIFw6BVPVuyN0pz53DzmT0NGls4ArYudOQ9XvJsuuOQRT8sBWw34xcsbzFtCeEoYzlbcOpiqvVVnq5+NG/uhZVTUCS0RDjbBo0a2LegpA1VQnq2IBZjeQhdK9LNShZ8ZfBSooo2Cdb+Z75g8h00wPO3ioAJkBzai51OkOOf7iuGZNPYm7LUXzbTzo+Uc0ouG4xnW5mgK5a+1dP6G1+8+Qug6I70UjKdgvVS8MC+jx9UTYLS+DU9ysyW+9cA+EKlECHB1FFKaM+Bm004dsI2drr2hn4OGPfFFQxywCxwB2IxaE9Wwam2+55yudDZaaXQkVlBnqrvFM4OnLAFVEuSUcXdYEWPFJR7gdEofKB1nW3TrP8oH3oxX+iQAUkLvDVKi2S7c0ShB2g+EuO6SvV31oD1fBZMQAb55eMEXhzOqCv5s/ganuOAhzJh1wA/rPV7ySGXSLaIWBorYAtJLV9KLqynKmXeu1wAdiI5qskPDkMgWmBhlD1o7hccC/DIl/t4QW/A+Pu/GmQQgXQsr+179G4RnVPVkR7E+CDYTQZi/CC1Jjl75maic7IlCvKwtsYaPpziMLUBqc0YrDy1ZVkhddtcliEvB+BwRV6JMvja8Z/7th+NNdaCI0cGNzaBqtJ3ey9o+Jtv+8ORpJ/JCtFza4axGPSmbjZ2wJFQ00n4/J2xGXUQ0qmH1ANZ7DXtgrgEUpHpOKEsg2p92F7drGdAAjgzQTnt2MThffz4jq7zs6Yli42IsIVQJ/Xu7n60RwCh9X23aA5JNsFwZOfy785e4lgGPacYpLngTr/g6PWHViM/lDs+FY4Sq0mnngadX8kNitUNZBVIoUFbPCVUUm6mnBhs75Kqlrg4dV/R78d6tqgiXtYEc3VmyH1KHCBcr6qJUtMFgIE/YAOx+XwNRVqD7peHCREIDoFNEU+JUZY9uLpAtU0kZYEVXhP9XBbRCc4buRwhFCp6kqyKUyjXcBY/j2a8Tjd4UDPxzUZa0KOQjGnDH9gTu57D1g9AZHy0h9u1mexkuguOgSFbEq2AQQRwEW5k4DltvY/JolDsi/WavkT21HDNHehkTLmV/00KGg4+qQrVeODs36gDTAOC6O9Xe92E+hnbtaL8nlgR00TgVMhdez5dulYICqjtv3JfpLJh/OOI3lwH/7fgP8W9PX+OXD+/wD6dfY5SCU1jwqZzwb+ef4sN2h2semGyUYHZtZ5n5FlhPMZNAHiT7xMUFiJKh8sEo6S0BsIDNxXPUAJuwkq3jdG4GY9z7eYrQJIhLxfEjn3uZaA8Ofgfps1T3ibQEQb4L0DhSnPFM5B+WROsQqbjcZhXrrWigqy4PAwQR+MEeeSJ7qAGSLqBl1GpvfQkbkGZqRxTzRV518HVmTMP/56P5K6/g+hleFOOzBcICLI8RoSimJ4WPeQEIAKkwUcgCRBHUjyNq1MY8kWsA5mC2yGTAJxpIliYeUydLAG1EVQWgykpmE9kxJeI2qi2g0Q+9hxLeS24xllRBtAdQRqev+hll4xxfPSOPV+LSzwc+FxjFW1GroBTB5+WAqoL/5/nneK4HLHVAcZAE8qPcxGMjV2tve83YbnXgepNtYmCmAYxxEUwf0fe1iQhWZxYkYwdUvTmrQ1HIUm+uo06maRKFCXJlH61Xucto1b6j2YyNmvTnNz0D6VJRo2D92VuyFq/sWYQq0tMMhMBrqkBYChOZKJC7EzQGyLIh1B5PnX/KM3J44p6c3wf60RlkWoDxrxRhS3nsQmlqLWHbPUw9mqrJrGj3WDQfBOt9wPwVizGcNsAqbbqoJWVkqeUDwdP1PrTRS+kCQATrElGUZ22cWRUtDxlyjhifyAwLs6CkCJkNdFageM+r5RxhFsjMUXbrn1whgX7Nx/aEOWD6EHD/i8prf4QBtza3NdPGySi1yuhFqN1oY7GGSTCcuYfLRPAmXsnoqCOwvqEOQTB1+nQB1t+cWBRamHzm+wIk5WSAQoDyflyw1YiPlyPbw44Vy3v2UdcT+6M9D2Gu0oEl6sQY0GLtjqJAKoIyC7bMqmu8MMlPMxklzkRUA6Og1PwpB67N9Jnx8mbxx/FjQfyV4vlnCeuj+y210a7o55nvffMFh+8B/RgwPinG5w5WajCWa+FZsLwdqDk09DO0AewBCANjjbz9Pffk/k0vnVeka0G6EvrwYLUprm2uTscYzB8oAM4SFFdaddEaK0fb4VomMXooWh+Mq5sFTygLWr9DGaQhrCEDMHlxDTDnb0hThTVcw2Y+udPj71WvilYgLDaPyxR0awooiVWy+2mBiOLsKLlXQNeelPtiO6oXMljhABMQVUsMFTdUzbjuorc9Kuw0IPTk6uZln/nV4QW/f/qIaxnwy+WN9XRlbBpxLiPmMmDNEbUEVK/QbbeVWe+zqxEIwsHTWrWPwmlVy93n+wFmwapYoqspUIhnDNZzpghrRbxkHg5TAgKdt1SFDoHPuoQ28iEtFHCoA2d4OeUGSsGE4Emu9YrVKD3RXjy4N3RqoLyuj5aQXBj05sLRWGXF/hXWgngtVNbd+kFNhNrXlipy/AUDYxwpNXACsAAIRkkuO2dgz7IBIZbcxbVCBkHxXs7skWCwAE/gjD2nQ/pilAP6WCi3/60HdPugQIsgXoCwRjrh0Yxpr46rPYEJnmT41+KOBmSoLgwVfM1q2DMEuEf4Afuk2xFwJjlotC7JRELXoPjN9QFZAx7SgmPc8JiuuIwjZ/zWAYumVgUTAStAbdAvrHrOf7vojFdj9qIqUoCwON1WG+uCfyqTUgVt7bpCdrNodRygxxEaAjQGuIhFq5AX2ye27jy10KqGCGbnYomF+YJ0AVH9IVoAZOiyGMK/7wv1Sq8EOF9XS4HuywkhQHJFXCv7s4xRQYBuByp6ENiqMooqDIaDCerUwQJe4YHq/TX8GRulor1C6FQ/PyRrEqyPoSVNKE7hF1Nx9n4zs2sFoH3M3F5AiPPWux2pJXMKrr1uO+PcV6vcDp1w4kmyGiWXRQyj0qMlv57cx1Ugtfb9b8BtA4MNwInr3u7MJiOTmPQpoiwBf3l6ZwlAwOe7I05hxbt0xks54DfLIz5vB6zGytFqjA2vvql9huMdQTge2a5rn1xCWRnw3qhQtPWc+9ldpuhGxUe2VcTrRh9vvnpfhaqRTJhhyaQ3S4QkBohMwgkE+jqTKs6qLtkvYtTYSPX2leV4tdF94nR92OcWf5ABSAl6GKE3oJH5g2p2Z5/pgDzBcljbCSmI2XrHGijpwaV6kCioJ67t8GIslF1S7AJ1GjlNgiNrij3PvneS9/NOlvQ+i7V7oO23YBXYdDX72eueqCdUu5/3nn+16twixv7qwGWzd1tab21n8Cq7JNeDWW2ia3FRyGrHUUKLazxZbmDzyi/2e+nMGNj+va50+n99eYtrGTDFjLu4A5yB275kW0d/Bu08a+cQmVcqaCPQfF+nKzA89x7AppIf7SyzOam0y50vzYo4U6CD9tzBHB8XKQVIkfe63vO98hFY3/rcXWubiDZl4EywtA4By2OwmCYgrBXpaYZcFgpnpsmApQKfEqHHCS5AiJ2Q4PxekMSEKi1hjYv0JANk5gD0GRotuTUQsEaFHp26zHVUAW3HwqMyMila3/B9xs8eP5Ly7cUbybDWDRMPOnolmNVPZLINogm4bm8L7t9d8IITpEQrHlG3J85MHmtSOxe12ZC3qOSHij/86Q8IovjFxzdYV7ZsxSsT8OO3G7bHhCcNXTByZiylAuCA1uKhC9oc6nzH+DEfrZ3PKr9xZUywvBWUex4u5Sm1loXxIyuovYgWUEOlZkoNSKHiflhwySPnlm8RGCryg0CngniiaGjRgYJRnwTDk6IcpInFtX5026M+9zqs3OueN3k1Nl0tKVbTRrIzk+AjdmeIopgK+PCrguk3L1gf3+HZ/L/nbs0vNmFWS1SzYvrE8316Khg/bcjHiPmLARBBWMggW98O2E7S6Ox70LQOPRfREJDD/qD+m1+/eyU3RWjlfEinT4TCfi0o6Ox2svN7CliNPQmJC51dG4liFc8yYIdU2IIYyr6ndbbrUT90AGz+PQssNqBVrmAHvqIZYWu2NwMJWTjfdyHaUEegHKsFWIK6RHz3fE8hB6N/5DuFTF4xoEEV+CLtEOLCRLUMHiz0w5wD1PvPAgxoEdgnB6DTnjanLXnwKAgXiub8+6f3eNoOyCbocJdWPI5XVOWIlLmkNoYFACt3FhD5c/TnFBcP4Kw3eEvQqBg/BUyfHLK1n/dxIDbjM4gAGG19mNiGYsIKW+k0zkS15l4dFRMhkYYGbycBTtIGzfPnYPRPq7gcBfImNX4/qWwBkmKrcDW5faDTgiwBEVWr9u9eVQELVkNRuIBhG7Ew+uxTbcmLU65dPr812xugsV/HfZ+CVxa830lcul86quXPyH/Gkx+vPvQEHK2C26oQVawC2e1OA7o38GTYBTp8YwGtf9UZA716D6OeoNmCWqXG7Xqf5DJxiC1JcdsgHdC8tSfg6MlDuvD5BVcB3ATf3t3jsg14M824HxachxGbRpvpTBGHSx6x5ERF8ENBCQF5kSbG0cQXZj8ldv4goNPItx4UN4EED36sXUM1wGZ+WO8tAxFZMsTEJWCADxUzbe28b1MY3Fezea+WdNEePt+abFQFAsIhMTmdFeJJq3/uMLTeXIhYpUu7MNJ+5lQuvJ9KgRf34XHDTdKslkQjANvoPmm3ZuLXh9Z7t6d/hlb1hlXotb+nf7AYEKMWeHix1Gja7AH2M6MH66FY/6x2HxoXMKlzW7c956NDSH9VYGKUrNXWc6Wxi3aKnoM5gLVX7JSgiwE0vmakLDJgbdXfYsJeRt31BLLRgIUV5TqIgZ00yPllRCmC/xDeY60RD2nB+/GMpSb8ZubM9pd5wrIQcC53FbpIq3j4NvZziZU16Qwg9LXbi8kwuGTg3uZAu8ns1F51L3omOzZN7J//+tWo+YG/1BJ9C2r4/16hS+edj9m/z56u73bv9r7vU0e7PGNg0M7KQN+aLBFNaudpQav6BWtVaTa+e2b+dcl8JPuEs1FzrcpBxW0H8rUxcqA9yGR/PxPt2BJcvUkMnTHWAEPpPoprw7ilUYhNmb6GnqyrxTusCHc/7rbS7tHOYPfxZYTtSS5GGaXbvFVg+B597Iz7WRWr5BsllNVrgcYReVI81YDrSKHDz9aD677c6coiyj+RI4ig1KkIDgqabXlbQnq5ta3mh6wHEwF9RGPw9dRWSZKsN2yRsHlcsbO/qg2g2YuvKdAKJjfP1cECe+bbURDept1eNeDTGQt3fBayZp4th9TB0mz2HwJ8RB7QYyTJQNr6NSyPPHfCCkwfSPVwsGRPdwbQqoJcZz6ffKJKfXnaMS79OIm0NR+flU+slpIVAfpUA37K2G1h+BiBEDnfOQPjh4jz9og0S5s1LQXUA7HpHS4kCJhQXmUSutyzXeOvvnsHAK2lJV0Chhde7/WrgaO8jPnjfiCfBOsb9zc9bnGQmUmq4vx7rG43QCv0s274yCKLayG0RNj2raoBTRpwfjrgF6C458O0YikR8zygmAAixyayDaVuAfHC8YVlBOo722cGOvi4IY/t8hHQu+4Xwu4M5vcdFPYWE7MDkgYwviimTwQmN+t5Xt4l1PER25F0cM4aNx9wgLFR+9lxAxxBcPkq4eUnaecDGT/DVMUh/NzTt9QGWR8CyiDslV/7OKKw/c9EV8Y4IOSKdOVwXyAgLhXTL18gtWL++SPWB1IkglUmyxhaZbMO3IDjMxufi1UM+JC0GZg/fACkc4m0KjHR9L7RpADRRWzWXt3jG/VN5QGqFGDIHk3DDjT724KpMgpe/qgADxl6jQhzAC4R53zi2wpQTpVihQLUz4GU1II2n9NpDY6u0ln0CqBXL1zuPa5owZGjP+XkFDh+jwCnIotVWxdg/BxQZsGvp7f4fnpot344rvjy/gwATZHU0S0ATDJDaA4Y8E1roknRgyLf+ILxk+L4kSIa6/2OpmQBZr6LXHub+xbWilArwsKREygK2TIT0MTKbUvQzOi9YlSjmIgC2tBqAJ0+O9AOVrDSMJwVp0uhEmgKqCEh5MIgPxrtpyiFS7YNcjoCw9CCftlFU5pLSz6lKAIs2bGNVg6JazeFhsp75X47yc38vZYkAo2aPiwGDIk02ki6ksJRDtIoZK3SZdUzqSbmZO/bPmNv74MgjrDgzKiECwNrF4KqRmnEvt2gAuIqjO4pkvV35NiTIL8XUyL0ZL2a4/PKVUuSFLSz4M+wO97e59opY0BP5kNRDC8UbAlbQDkIXsI9zscDnu4PeDguOA4bPk8Hjj6KG6oGPK8TrltCCIrxfkXeIrLR9qYPPvOWyKb7oVZRNj8g1pvo6sBx1eaDAA8EmdTGaAnsOJAauWTIZQaCIGwMUnCaoFNETQE6kU4XDZjTCCAycMx3Hkhb0GSBVBlho8QEQGI1bSlAdk6dcC70xJl0rTcXYKXL6fl7c8mU+Q9FW2WaQTh7s7m3aWxObVzvucZODS5jTzyd8iiqLSBvyqUm1pauZG7kY2wVUc9k4lIRxUEiQQbRe/4e2kHttgezv+HC+8oHsLpifr4mjnxBtCqr34sG1GPBeNrI9q5WdTcQUawvjXu2J8pdeMr3PNDmGw9uNwbkmmBiWhQyV7KURmmaFr2KTwCoTBYYXkzMJQ3IU8KvtohPlyOO44b3xwuyBjzNB6w54nKZUNZIPYk3G8olAR9DA28BE5Ja3cf2tWdF2phNJvbIZKtSYO1aEOeMPdW+jevb25Hw++UYO9PIFa09IEZPDr16VHeVdvoUaYmbn5fTZ7mpyN68gmef9hoHgpn2+a+V9MOmGK4V2zGgHAgQy8W+fq6AcqZjPtj8xoXOroxiY8G0fV5L2FzvcNN2dnsLjYNTh08Fw0tmYueJaIo7QFKbbToDxoF/vlH3lW1cm8ctBQTmrXrDM5TPN98pcKj9UVRrxcqWIKwdcGh9xrvEVwPabPH9mEZRVqa3u10i6ffrwF/oPlMFWB8FxcSIoonCjU8U8LluE+bjgHka8WG4o07CGiBjxRdfPlNbwZLckCrKgQWW4LoTO3uGKMIiOHyC+RgmTPHKql1NQDlSaDRda++VNlNqkx/WsvN9PQ7Yv/z/BEGt8rUHL2xqhlfQQwF8ILQGWGwTEBdgeqpWra8IK0dz1YcR8ZoRP5wZvxwH6BA4gjBWKAKV1dFBnXJU4Mrnnq7A+FKx3gU8/yFpytMPguG7Hmc3pssOF6IYl503JqyU3xZgqCgfx76++zgsgkUiKEeEflUQFkG6BETXAVHSf7cHih/d/VKMpWd7/aNVZA+C5T1tT7IgFYIycUYr7Ei1vuGieHqrGH52xvI8AX9x4n45KhAUw5O0UUfP/8DZE2h9rvkIrG+A608K4jXg7q/JaJm/Emx39JvpLNjuFes/nqFVcP8/TRhezH8lVrBPv+T5WI52Ho5dXdlH0qVna7vRES+XBBwKLvcrJ1u8jCwiCIBIYdxhKNjm1Crly5eKfGKPq4sEDt/biK4HFlfWR0V+U5CeYruXfXy+3gcMV9oGGWmAbj3GOf6QMf3qGfU04vrlPQWlvonQSHHA8TOa/9OR65TvlAKTL2jv4/EgInD+mWD+vYzhQ8S7/7cgFkU+BitqMr84/LBi+h/+DBhGrP/L38f6mJDOhePockWYM0qe8Xd5/e5Jru8NcQdniaf3mG0UMdlXAETZuO9zL9t7WC/e7RujVRVv+lSbaEAPitUOIt9ApFAShff34qGpCCJoMxoFUJ9niy588brfEj6CRYjkaFRCvgCrIhVoPYPaD7Ua+0HowVhu1TdzpiIQaKPfuigKFNDNnKqiGek+GXAKFITOmqQtwbZENOaqKJaQ8JQmu15h1VS4gbSY0JC9l1ogJ4IbxNGfYRdaws2h2zj59rX23PfiDEYX1hQgqOyF84BJiJIiV+gQAJNM9AAweDX+Fdrc6KQFLalylW0dOFycgjM7A2viQAJx6kOpt8HQ7iWV6K2LAbnSKGB2H7j2NxRcAz32CVO7bvu+tp/rAWMXOzF6cfCD1e/XP5e/xgPx1Xt74JO1vXejzm3+Xja32td4f/0B1qO42wyQvgdfPya/V48roycEluwIb9Sr7p1a3ROQRlncv/c+fvZ1zibQsnI+cNWEOVKEZTM12jEU5CEgiGItsY9Ras/H1sztZz/6ZM8OgduWNpvvlEELbiogcAqrPe8QLJkPQLQ/QNsDUitQAiR04KQW3AjvNBt6ta5tfT1IjoAWq5pFMTr77rW3+yCWEARIvEX++8MBfbZVljWA4jXNn/SA2K+xiXUYOu9BMezwArSJ5FBcbHd/zm54ddmtBy4AFU6b7WsGoI31ckHC1jrhAZuLJhV+MWRpxQoPhNWByBLQIlz7vrNI/P6c7UIVbM559cCujLvWmMhHKwE2nq73H7u4ED/DzpSgZNW4vzNadVs2+526RMxx4HkX6c9zCYYNKNkCzEFRXEV2Bz7e2NTORwssOC39vLnZ45aUtmopcBvo76poAOBCg96r3sYr7c7guHCvVAu6nNa9rwztP58l2FdBgghc/b1VbkXMd/IGX48zk8zYJGyCMGgXt6x+rYDA9Au2vica8yXautkz62J6/azUiEaLb78P0McWpZCk+F7s/l1E2iOOUOgi7f3b61U81M/cDpY3f7yrlkvweMWeZTR3FLqoZn9GaPbK547WOtHGmRlomY/S4pbXqv37yqnbWWvr2qxPNwLO3iFzzgS2dqMgVYFio+M8fgFABoap5VbtiaRdYbdnuwb1M8TG09XUrw2w7+1aEUTs2RaCgjy/nGXG9qu9fXkPfAeD+nPZx0ja8fybdgav2DMOC6hD7PPWU0AYB+5pi81+6x7wV3GFdMDHNzbGAaSdZWxpEjilvI1xMzv2xJMJu3KGt/dJu7CVCZ05U6T9XbimPs5mHwd12+hsPe8LjQswXP1ZUECKfdeWQB52a2b7yhmY25KANSBee+yNBNRJsT1K+2xfL4jT+63I5Hsmobc6eXxv16wWZ5QjsL6RG4BoD/Q485OiSf2+vaJLSjBzC1WglkAV8E3sOhQ1RmwDk4V8UoRBGuOigavaWRj+akyY2uOa/fxr97NhrdRNWH2z8698CNjen1AO0fp0+31y/vwuXlP6UQfHmm9q/tLsRIEws+VPg5r98LmWkbFiPkUc3r1trV1+/VAyJcv9iOxg/t/y+t2T3Frp9JMAJq8eNqNXVEF6WpBeNuT7oQ+Jt0Au3wnWhx40NoqgOWtHukILat1R6Y3Db7RU7V/Pd9EqaoLqCwrcBD6NRy67nsFRTQhAmqGWI40nXgW1JtRDhZ4KwqHgdLdwzuB5RN0i5CmxsXvZIZhmeBwar9ge/LoFydAOf5UjsLzXVpGQarLcVTB9UBw+9RuXasPki6JcXBJesN0R/co2RsJHJm2XhA9PE6kPR84NnaYND6cFn55O0KcIZJNBn2zzZUEwVb3imwlEq9LsyQkAVYznfl1edSSlk9WAprhZFWWK0GHgaBUAGoIJNwjS9y/AxyfI732J9XGAVI6hAoDhwkD7+kUwNT80pD9duKZEzgS5cCh2XCviXBFyRZgjA3ugjXmhANXAivJlxm9NcoMQQVpMFTpXBgWRhwrtlWCBbgRcHNxw5+1jJfbgQFv3CciZVZ20oINFxSsptsn3FZPA4NAZg/vETKVTJuG9JvCDyobTF8V2ChSnUuFUCbXgJgnqWJDuNyotFyHIs3GTSkvw3BjRKG3uVRzUUQNuWj+boknih8xKlVi/i2Tr77Dqx21VwG7b5rims1Wkc0CNAevbiPP9gHNSfDpkxKHgizdnDKHieZ6wLAP7z4vwgLIk3m3IaaKNzlrRKmy8CK8SEmVv47HWyop+7ZVOjlMZ6Aej8KHIES4KxQOBp2HIZDbUMaFMgYCG0/b3wawHQomxTMiCunLtXLm+Wq9kuKxkMLy25apUIJ4mSCGjIah00ScAqD4SoyKszCClUCyrTtF0AzrDwg+0fGcH1MEqCG4ahdWTnF14yvv9BYiKOoSWTHWRQg8s+I1YDZj0QNXtTUz0wiuPRin1wIsjB5yySUojQP+wPVgAN3G0BBQoT+Pt8zKfl0/aeqHjlWfS+kBGgSaj8cXeBwmgJ4i+jtbzlK7SrjWsAGKnf1Y7zENWjE89gCHlzfraakK9RlymAesyIMSKlApCUEyHDSKKYvOeyxBQRgJlUbmvarTRGEXtbEE7Wxkgdxp+AzcD2TF1MEZOrgwqTUEZgFHvLbmsaNTmOGfImqFjQh0jgrFXNHhfnWB9CMCbTne9oUzvAFRntESgJ7AGUhKUFWg88BpertCXM2QYIIeJoJLb5GVBOG/Nx3gi5EFbMQHLdKk4/LCB4mLRqHih93gL12574O8dvheEK69TDya889xBSzFxOa92N4X1nZozwVlvUeF77O3JdQ8a40Q67c/vJR8VqwWM5WAg2FQRR5ZmqTsnrHwKGR/7ftuQ0UR4ytDZC94bnI9mmyN9ZhkV9cDkZ3iWm0CfQkR2jbYXhjNtbzjzbC+jYL3jZ08fBfVFkO8F5RBQDxXhfkOM7F/0meU+WksGKub7yJv4hMaaaEkl0HxVsPNvOHsF2PacXW+aa2MdahJUEaTzBlkK/WEuKG+OWL480K8Zc2uvUksKsms6iMVK9HX5RN/mWiKsonV/Q39C+5D7hHCIrfWpjoyTfIxX2Gw0YwpW+RPoTjF/eAFOvyk4fbtieTvg+gUZA8fv+/kqCsxfCK5/sAFZkJ5ii+FYpVfkOzubZwFWQdhiYzhtxuShkjB7nOO28x8VCDa+08FsTyJDpigWQPVdqYLxM21+eq6YPmQAA57M3o5/qTj+UPHpTyLOf1ggq2D8HNg+ZmDC+FGw1gOmK6u2DkKVSbD8NKM+LMjfHvHw7/hc1zdGeX/T3b5kJiLze4KqslOB5hkgSN8PqIPi+rOM6x9WJqYmDHX4nveUT6zgTh/7tdTR9sAL7GeAbDE6ANQiGD5GMkGtTSGfAtZNgEGh//CMAqB+f0R8oe2t77T1TPt57CKZUpjsOwA8PlfEzWK/Ixmx4w8XnvP5iDIFzO8jRwE+RHz+41M7AxHU9BrQ2iWclQXwa2Xk+jr7w9l8+cSvDS/A8VueE2Xs3weMATUC233C+evfQ8hkH7hCvaaA5d2A8zcBOQvwf8Xf+vp7SHJ3wYyCvZbWlygIpgxXIKfUq297lMMO8bB/z11Q1yta/dtiPO+GDFd+LiwpgABy8I0qPVAE6LgcPbLkWYMQVfUgXPr3PUGBmBNchfPkoiIExRALVIVVpOLJqXQU0D/TETHrw1ITJAhLv4cKP5SozAereosyuHFaM7ADAzwRMjU/gAl7iDCKc3cosPl4miywtEcSg50C5vA0sv+loYX7l4M8pSdq3hjeHKMBEQ3N2StfeiIgRvnyysDOACQX6LKY7exsAECw0kbIoVdydPdnd6D16oup0FWB90o60s83C/3feYc4vH7VaurMyn9Lp6fy3qSxGPbCGL1Sg9ZvfWOT9gzVHd3e1hW0a/Sf9XVQH8lkIET7uj3SWtFQMKdBepLrolZEuGlMKtJYCI4sh1htdm6A7qq4XpHdV3oaMuj27kluBMqkrQLW1id1JWEJVsUUUjv3VYXOAsENIilFmaAJECJQZgbaOigqEsdobQmaCkoJhpRKmwX8+nUzqsltq+7+3WzbD3BFYye4Xe9HPvhMYO81tSTpxvZMwAhFEUK4rXg4oFelX4t05LwVHGX3TKVTSfuN7T4PAEKwew188Lfe18oQBKSk7FQXgRvbbAyUXeXKZ6W3VgLlIV03U+9Ue/s94rwzq719+/9F3aZtNEfx56pAMNEWS9TiBtSkvdJUdur71mcuThP0zxHAVZZdtM0ru34PfO6KgH4gO4jZ7jkxuXc7xav94c/WqxaoVBVWcJ96EqT2mZKdlWT3koEQvKpn8z+3gFrJgAAqUqxIdiaR0onu/18/353t7P3n3t/2tRY0sTarygrM35cKZwfc7Fu3GQcFQwVSMFEt0k1V2MqUD9Iq7JLs43cxgL9XrzD5hfO61NWw91VmACgVGh0A392UsXIkK0KoVKK2ET6839DXZKtkYex8V3VAz+3egIR9P+ie1t4qtW53vld3z79V94wJIl6NtDO/nXeNASfwjq49k8njHu9Jbev/I2PcvXZ+W26ePa/Fk6wGuoz+t7b7r1OFSGDyv2NbtNhgBxZKsUuzahCr+HJTCQ6rAcWjLakoag3IAGql3fMHtQH5QI9NPOnfFz9uzo/Ki2lnp4cDmfGUT3agvXR2Imd9iVHsO6DW2Vq92tUer09JcMaVP2tfkuo28Wo9rJLoMShA9ghZbRW/dcTQbg/6tAZZq4FEvE9vhfPrLpNisDaesrlWBeOBfUzRgFfX5FSPsbwYRTZlbN83/YH5VT+7X+rO7n2+cwO0dzGlP6awAvFaAY3QsQI1/Ij96cmdTz5QFbiivEwFb+5nfP/pAG8L0qTQ0ZiZAo5XW3mhdQRUFSnvqon2HIJNaalvC4bjhrwm6EoRV4+JW+W8wgow2v2Kx8t27nCUXUDNAYNNLUEFY6IBHAMZKg6HDQLgKRzaZ9TEOKFGOxo9xizMRxzA+ZGp2PN3u/ZCjdtgNQDPY2mA4fLNS22/qQOUNtPXmV9+TiZYVZvgVo3s4W1sR+m5SjnAxAaBNEs/w72F6yT/0VB9//rdk1xPcLIiLgXhsjGLt/mn4ZohpaBG9ra05yJAOhPJLkdBPqChJNhtGE8Oc2KFMmzA8UNBWAB1dHsn/FJNolyFziSBKqEteZA+ZiiulK4uY6CAi7BfSSpRNlbeKHIEpXgBnT1nC+Yq+FzZk6uFgXO0cj1HyeAmSOuHJIc414Ni+6pwE1wiZBXUE1FLzn8kOlcukWpqs2C59mcoCoRJbg4Sn6MZF/YuxrUfTuVIfj6SBRgqeP54wnMRYAtUYKxo9IbmeHaobKMn2724umKvVFiF164nFAIe+X6A5IrhZQO2grBk+OiANrPwSqutpwPkJ1+hHgfOwwrS7iEfQ/u88ZmgQZ1oI6xgozlSR+80EJGXqiinAXV8gBTy+psEZHuoQoGeIQGvE6EtQ2b3ItL/WFWOCtIe3VvSEfrGVQM3IDy4bpLcZMFSlVZd3O+VRtHzYM8qyH6QxqVifCqoKWB5S0EKqv31GY1Se0W3RuHuVyLJ1QIV3o8lRZtgu/Z+Ai0CWa2HK6OBKk3hNu7uU/oBUkYgv8+QkZWEECud+caZpuUUqZr4xN7YNiap9D3kPbmkLdG2OEey08fSRYwuy1EUtQjmO45UKSUwMPIq7mZS/Fu39b19B+jNvXF2ovZ9YVRV8ZEzUQhGVAbDQYqBIbCAujbmAIZEh56CVQe1AycGDg1XigbJ3gY9qSxoVRdNgO5bF4S2qaO59qLsvy2Vas9agVI4Rihn6LpBdaciXiukFIQcmbzkyjx4A6tlsQLCMS4cuaSQzcA7GIVK9Mfx9C4pb3d0k1R1H65AS2raaBcHr7wXUEFQbq/b0JJzaYGrV3U1SOsRL7seXslgQF5tn9osQZkjZBOMnwLSC1rQ2Rk2Vv0swHwSzF9W6KDQo0XvWW79h4LVAfucYCPIWnBggVCwMSataiZoz3r8DKNyMfgqJSBjQA2KJRIpHh4WHA/AuiZs1wG6BpSJyXKcpaPvV/ND1priSVVLzNSeGdTmJQLpXJHOeee3rKKrihpDW5u2Pt5/P8WmxkwAkH9XC1pcYIuBD1AXO7M8sPdzUyi8GANQ5gAEp4yA58nC7MjHvmBI1Fl4RcP177navxTF+Hmj7bQ2EALBKsD6bjQRNRuTOKKxU1jR5ZgUp7J7hbef9/wPNUvQWBANwDU7VwF7gCcHjdHOWiYRagA/CNzmLpzlrzIIdJIWz3B8npBMEiKKP0gDW9IlNCCvTNYCorzH5Z1AVJpgJkFL8+dfZCBqi1s0KQH0oaKMLDCEQF9VN+sS9URwt38Z0PJ682HHflPukQSF1IhSBSUpyt1GsakceB4JmOBuAdMP7GdNZzRqriYBdueIn78a2I/ofsNjlS62VoFFMTjbKwWUFKD3IxAtpnhhbDK4zzUgQPzssEolAWT67LhYH6P7E/Szsu2dAhsP10ERZzoCPN+o9BsgQZCeFyovG/Vdas9owgZc30csDyfkY++b9mS3tVVMjAd1ozhT0wJoDBkmHutb3kucpYnXOZXe7ZUU9EomQhMNNb/tAl6ZNjF/Kbj+NEOyYHgOQBasb0n/nb+MePkZq63TJ75/HRXXLynONXyfEGfB9AENzKjRRA69YGPih9t9RTlVIAd8+HQHWW3qxACU+wo5lHYOhHPA+CGgTorlS/PnGpEuHEtUjta2ZLFD+DggPw3wEV5xkZbkD88dGLp8Y6MeTzwf07M0VtNwpo/MdwmDMkcoR9wk8OEagFlw+fwGDuznu9p66uPCPlhRVsXLgfvZY/c6sE93/opV+MMHKh6XSfDxP3uL1r/vFfYXO+Myz6zO4mQ8VkbB+oa90YfPBVKA599PWN4rhmfB+Jk98NevmSSTMs/1WN4EhI3TIXxMJtRtZrcXamf1ze8j8iFBA88K8TaSv+X199OTa9UI2QrCZYFOCXoaSQVZC7ChLfReICrNCszAkgR6B7jCm4HSDOZST7bKwWZ7fuwJXUN9DAmrQ++PYO9AL6UD/Pw+ykfNGfYKDiknnsQ5+sMDyQOnfAJKMaRn1xzuG90lum/6J0NPajSA6Mah4MtvnjCmjA/Pd1iXhHEoGMfM5vOR82uLsmK4lwoHLDiyhC9udkBZUBTarMiefNQRTHDd0Ssgl4RwCUTDpQednpgzyN9VGR3Nsj9OyQHQDs64KlxlEFWBFIxKFIAX/lzwEQ+7ihbHQjAo0kNCHaIF7h5wSFOUFQXiVSEDUCeTFbdn40gu1Z13n1EUdYzQY0KcC2QprUp484oBOiRoKTdfllJJNU2Rgg/7qoWPIXqtEuvB/Q2iDgDalaT1tySIr3oo1WmAho6171viE7aC+LJCpgR5k1AFiEY5LJO0ykubczl0JfSwKqsn+3EJoMPWJcDn7MLHkmydEtPuTXhguDN02q+DK8PDiumw4d3pitOw4vNywNPlgG2L2MKIsvF9k/WV10yRBBhN22cFlwlAq9L1IJEK79KCdSZUATkHhMAxWS62wsSzKys7+OW24wwJCMeGOHLb+9Osb8qSg2qRmwRl1UVNrMhsziu1sIqXDuwZJKVZoLUiqLL/0qowYTG7jwFpp96rNpy92jq5vewrJUzsAoJGq3KAImo20khLZYWrVOiWobu5irDqbeszVquSFYXCk/De99op3WaPryuG/l+x78nuj/+c9qSYag3Sq5n+Po0K3t9zz+TgL/efCQ347FW3pnZs9Mu23gWs7A8VcSoELC+RIOkFmD7fiqC1YM7EyCBAfSiQsWA8ZM5i3mKvNIHvrxuDuJI5mzYu0hJKfxahWIA4WN9w4E0EUBxETWm52PlUIzOC1hJxjFBsZC7M0QJZS2hNvEsWbaI73rtZAfYO79ZI7bPZY+itE+ajPaFtGgswWj6Aauvo9hMDaXS598i257LrZ42rsvc6c385mt/sJPT/17FT3Gn/sft5AE7Blfo3hDhtlBftN163fj/+IzlgOyVsJybwrpDv8YNXMPf+oZ2Zu2qHg5ROXeX1uRCjM0Do22sSq2obsLe7ZDFQZy+KGc13+WgWGP1P7bZZgODfZRHUFLsvK6a8XawSa21HYgmb4fcW+Nq4oElRjxV3X1wQQ8VTuYfkCFeARRXooBwHU+3igsd9XS8FZjIOGLoI6Q2jqxgYpAAQWBiIqfXgooIAQ6zQyuTWW5Z4T0Ae+DmNdbZjwziryunKrdpubK2wFsTzyrV/OKAOAeVAynpYK9KlYA+M5PvBWqi0+Ra3p3II1p6jGM5o+4vAxm1gD6UPaLHbrnXD+3zZvhAQYEDkdWFckiKwT3KzYnuQxqhq/cf2ojAfwQuejX3ElCcz6cLe2PmtYP4KluSixy3+nna9HlPs20Yag+wVU6QOiuH9zCroeYIA2O7INnR9mzQLph94LzUB9Z6/Pzwzxh1erDBl/kKyIq3mD0fT/jkoMFWgCOo5IW7SACs5FKQpI29UYJYiGC7ABgEOFWEsqOeAugrKUVHfbsASIZ84uzedncYsNywCLyBoAPKdi3YpyslYlxo4zukjhXfLBOQL12q71xu9Ij9vwiZUhwZw/aaiHiukxmbHycHLgb276QpEm6XrldT5C0U9VKRrxN1vCpaHiMs3HVSUCkwfFNOl0833bKA4M9+oib34HgOgMjdavyiQnHD4we79TSHzdUtkZyS2OyQVpIVU5DhXi7l2sU47Y9CKWMtbrvn4rLctVv+R1++e5OaCcN2QREza3Hp95mzJkQDHAVKZfTuqtQ8+3Ok1+oR4stgTWc68ZQJao7SZTS3I3aHI+6Dp5qFZYpDmirhIHwkAtHK4H2DV0amCpuK2V5GT4pGBfW4BoOTuN2ryaP/29zRah06K+G7B4bjiZw+fkULBZRnbcGPvNYlRARTUMprcODeti2FIsd7KbJW4+Oo+rwpd0SS99SIoT8noynxAjkDLKq0HeD9aSSqazHt7mTNzeklDlw1N68klAJgy5YVGXBPRRxeXggX6+xcrGIZK2oER1goJguEiCEVaX1KugmLz+VoSYsFx2DgSwgdd6165WdD6xtsIIREgJTQ68/66to2qzCkCucfpXlH1l1jvOMScnrhiHa83NlqiPWNXnPWxP+I2axVYrxRXbYG+AK1ZXytYlQ+COiVoDDajTztVCxxMvq+utf52TzJMNEsK1SiTZa+1GsARwaqA92Os0uzDaf176pPT2HSowFRxPK44TSvuxwX3w4KiAblELLFCK1Hyeo5McOOexqe3iU0xoZIAiKGOri7tNDfSUXl963TANtReravoyKcj1fuq32CfZz363l8CaKPmUh1YAFNQ9f5QrqslgvZc3R8RKHhl6ybAhiioB9pdNKdfJgbWYXe/nmS1tbMErQnj2LNodKXXr1I7HT8Ie9PHAVKrq9VBpxF1TAygcuVIIQNYUPk7AUDYKkc77BIiBkd89r1v1lDvPX3QARKrepVoc8jXapWpDjo2/54ExXy83+/+Z4jiS68YeBK+SyBh1xFnZc+5tTJoBEQDkW6zkzizmgG7j31i7nlTtV6i9VExPCxIqeI4rQhiDBIVFBXUylnfW0yoWwBeYk+IkjCgtkCbyr3hxo/BkoVQeOSkKyuH4Qg4FV4NzFjHAS9FoNeE+BKaP2/tJdgFfwODFAgQbKxNtWpUrNrOmDamL1BspynAKxoTBwoCOa/bDKpCUNHmJsYdDdhtOJA5UT2Y9/e+2AI6XuF7L3uVS1viLLmSvbADNGnngUyGZYWWXVS0S2ZZTe6VZrcX2TgvWmdj1xQDWUc0xpRX5N3m2mg2f4+CWx0GuLhk4Nm9lb7OhX2iDlY7S8hn+Hql0Mf1AGjfa/ugWMCpggG9AsveXrLBeHZ7MKzAwP54B8VdjNN76nwJ6qioD2TkiG2s4WFBOURrRRD7OeGaWkzRKK/ObNLu19PiOi7sHWzaFVFuChxhNaribLHUxBE2qorq4+6sYlhGZ/3YtQu/5iCS74F8oJ+KUVmsUCCYLkavoPpmJz3YdV72dPnGAtoqYK16bayO/fH31CCcpujnldAmNPZnBADrfbQKlz2na0W8Fr63nTVxKfy8IUIf79Dm5O4ozONZsd1bMlfon8OGNvbx/HuCPJktrBFyDRifbf7ryAJCPgFLFqssqu1jbqF8r8gnsgYP3wlim4cuWB4DE2yjt6Pe+iANtLntV6cu4qjA8EIGUzkY0BXtmaqzcpjQ5qNNWdnRqgF7xqJGa6X9R0tSNYLAr1prSQDk44CcEsGZqCiHiutXtEXMAXUJGFY705JiOG6oY0UGY4n4wrNCbP2k2Ozl0oF/sQKBBoE+hRZf79mlVJoGvFVGCmMpjt+y/ZmlgdmykVmXXgTTR/qM5Z20GKytUwJkpW+qzmqwfVgGFjqmj7Ynjt4O0/OJUPj74wtjm/ltxPKGdji8kHUQFtLhh2cgf4wYzuhFCAVQxaq7uHldvyBVe3qSVrFtvtMZnlmBTXH4YGw9LySut4Dp3/T6nZNcXTPkfEVYbZVjAGpFOJM+kd8cUCbSVw4f1l5JjYLtPpqya68ENO6/H4DmqJCBZCMqWiW2oPHaW2XrtaJjS1ylbYLhuSCsFXXkuBfAFOUM6fIDBLDPMIW3YgPinUPfEMnqVDBpCreedGokguPGLxnQQ8EffvMD3k0X/On9t4hS8e3lAdeF1Mq8RYRYMY4ZIuyRiKaWXQ4gHdpmzg3nirgo1gfOsWoggVpJX4HtaE6GmCadzqQ3FOp4FYzPaPe0f5U7k3m3XocAGN3F5zhqMzzAUVKBV7zStWJ44tqXI+kG6Vr4Pik0epkrFqtR35q6q/bKr1Q2vtchoI5C0aGRh6KLbzgY4SNhvHrp43qgaIlF2Arkokx0RUhjawIq3Q50WYDDxlFHUlnlFUEbM2SKnrIVhDUCCE1ghEEPvZnsgmYpRJ+jJ+G7PwgWLBQGoJKNLWGV4gA7cFzcKgrKgds5zrYQDuAstVX9y4E2QodijtCAJO+rGc5AXehQi1XEnR47PFlw5/0iHhNGw3mscqunAhkq0lgwjBlf3p9xTBveT2ccY68cLjkRvc0R10NCzfFHqLb3wWgA4lqZeEShEHaUdpCkWaEL7zMuZoNKdNtNWsDrjmuXuO/IYRdB8KTdkega2RcjWZFmaTfuKsE1Ugrf5xpyPM8uaPbKbbsv9auBJhs3pFZREoHGESVxpMJQ2WO62cHkrZFe3W4aB/YZNXBUV+v3rfZ5G0dlNQAnJUiM9L02HkdPE+ohUdl8FaM68/olBITAini6+LULtjtWJsOqSBDIyMNUBW0kkFc992JCGgXFA18A06ZN6KpVdGwPbVNCnehf47U2uwXQfD0OAXk/assWnKCpBYbKs6YmA5FG+vO6EOAoKwMsDygaJW+vNmoVmHyiH81fZPzs7QuGWDDFjBQqklSCl3nENQ9YS8TT9YBlSagY2EIDC+Cd9q2clQkTqkkWMLJSqFADldJCP7idpAf37ZlF5GtAWoQVhh07ylkLNQF6NLTfxlMlEejWfWerJPoZC1/P2J69CwlSJM3RHr3tNQToE4uiHhLK0ZJJYx403wxpquIBvG+fidg0Ddxv2u/JVilqNWdSSC3JlTnDRaY0Bsiyoj6/3NLydz26Lqjm/dCkpNvoORE4IBNGA0ImVi51o/aF95EyDuiCmd6rnifa0fjC6tz2NmCzcXsM2hReRRyfNquIROQTn1V7Rqaomg8B+fTqcxc+q2jTB+Kq0Jlrvb6lnQ8vjAnygTRDUt/Zi5jOgvFp588DbaS5KgD1UHF6d0UIiiD889XbF4yx4NPliPNlQhEmjBoF4XNq87Gd1VPjLrarBL+Hpw2aAsZnKghvD7H11XsM1WMy2vn8pWC7rywkhEAQ0woJjeljnwNh7AZlLEfgQdozZMtbt/tQQgduzVbDZkytErstBq6zn8Ecj6ioU0Q5xBvGlc8Cb/Pu1cC6XbLr/b0qHLGEKpie1ZgGBcOHS2tz4YJUW5cB290R8bwhzitkx0CbPhRsX7FQkWYWbIaz4uGvCfhcvjk0HQHMpCpPH/iMLj+V1o+pxlSE9U27cvz2prASW08UjFq0tQwt7wXXbyxR2VgASjN9RLERa3EGHv5dsOoln8P0iRX561eCfEfVXz+HvfKcj0pBtQHWNsP3CpnrUoXaOfnewJgXxuz5qA2czCdScQ/fElScv1CUhwI9FeS3G3QNSB8GnjmL2UhSvLmfURW4TiO2NaHmA0IRqJKFFLK1VG4OVgNxCchHtIKGBms7sTa1fGK1d3nHZDHZ9dYHitziKWFYA7zvHvBkleOD7n5ZsbwRPP0JUCdHhg0QGtXozIogaIrTDqrGVXH/uaAOgstXsQm6ehwWsiJdFff/7gmyZsz/1ZeYv2D8dPjA+D7OxXI8Vva8+MZ9zsR8+qi4+7aSRThQuPHyk/5Z3m7m+8UFWONCXzw8bZBSUUfSusP/XOrK8lsGrXsQpbu/QyUFRLw5A92hNpRT0QLoRsWzP63qtHt58LHvV/AXaVgBrapbFTeDul/RVBtFuvKQddpuq8pGMQVMWzjvwbGfi9ddY/qr6/TDju8pQBa8rCMCFL8ZHhGkoqhQPTBHij6VgHVNKDn2agLQgv4WfEh/PtH6UDjDr6O8vvF91m2IICUseuCgre+iUTfRP9N71zygchXnGq2ibE35r+cXkjZt9J+qpMuWigpTvR53AY9/XghGOafzQoRR4e2+TWRJoyeNlJVXQ+d8LUnnMrR/J57hIk4qVI0GQJoPcGsTVjltr8gkFvZzLlqhu+pcm0FbKtSoJQzWZGevXAv9Ldum0QQjADGl1cAgXBWdAr63dWcqVG2JwevqMgQtWfCAY09ZcnGhkFkZjkLaYEONdzbW9qcnKn7Nr/YfAEisGMaMIRVUFeQakGtEDQW5BmxGxecjZcC+p8vvK97tPtDtXpQHi/eR9X5PbQm+Vy7aS/u1eyX6hj5rgVi1off7oF9XIARBsaqhsysa8m/26evi4zlQ5ZYW774xhIb6u0BYE80p3koBUuwUCEMfp6CCVq0Pu33X5jfeCE3xGhAjq7kA2myaV4wF2aj2XKzHuL9HII1/R50Lm6J4lVe9D1ZbIOSou1gg50i927+LzXhSxDnTsftogAGrfd/HNTnDhxVfaX6m7ujr3OT23CqgosxX3L6qVZ1bf6L5twSCILP0yrM/zh3Y4sFDmRRI9N/JbLkqGRi50perSvsb9pHaRJxszQwQCfC17fbk/qr3b+7s2DABv7Y48vfJVOpnRdtL4Jmpgk7bFrT5p05pK1WYnGU0pVRXBN6/NPSgWwoV55ubNDEqBFZCawrtbJKdkE+zDweld7RwKQCCiUPabTb2hI1XCao8N1KAFFL/YUBTayMZR97/ue9ByRVxq7skWvpZZLauZn/uB/0iWtV0V2X1n1NfM9y+HMC/OV93yfv+l1pspLafAWOXiH2tnyn+871NZ+cPigHkFW20R9i0Be0U1pHWYnXjC9uboJ0ttQaIVIxDbtVc9+NVhbT/akI6wfzkjsXxepzP/iG1eMPGlomNeFPtPs7PnLAIwmiJgPVBBgP+nZqrCrbh7J+tis2wpZ3D2Uj72E1BjQ2FqRZrDwUMaGzXHKVR6INYrCNoPrGJrc5Gy1wC5y1r91Wt5Qf2nPyxu51HkA2YOJJOXY0+SwO+OcdXoYcRuvXDPR/5xvu516H0WCnNLFzwXIksICSFhO4ftzeK/FARloD0DKoNe6J1CdjCAcNsoqkqzdd4YUeFgksRBqabf3Mc09XU07WvP8AkbniiUN2esUBgwM4FB6lDX/PWJjUwuZcKpOKxi7Ey/Fx2honZlmwCHYHpuGFLsenh+DmGpOwPN3ZONaZM2HbnRfH843YveXzizIgyobE9fZ/FWQz8oZ8sU0AxVkTbP85Syh0cddZCugK1UFG/xT22z9yWysRzq7V+DIL1PrYCXx0AORM4Yx8vc5/8MEHK2MdB7vZAvktt/7Rik/B64zm0+8uTtCp+YzLuYjE/k4L15rKlLLAtIyq0cmRXHUNj/vxtr9+drnwY2QfgwVKwQCgKN6RXUCsQMhMcmBiQVxLjQl69c8pb1Wniw61Dp5Ds6VP5wD6ZIZgAgx2YKjZCaBSkuWJ4psx6mEsr9QPuXDyotADKKrFxrq15vhwcwQ02SwrAi7Tkz2XT3cH2GXIWNMReCYMC8SXi2+8f8X1U/PLpEUEUMVScpg0vNWCbA0oVYAtAFSRr/G5JxkoartRdb+VGRKUO0obXc6Yuo8pqSFcbS2FUzzLxIA9W9QTQ6E1+AKeLHSapB//l6M+pV5m9sju8UPAoLop0LghbbcFDWApEKsqJ41LSpWD4NHOjPEz2vGNXNQQPxbjQmadzRtgyNI7IgejU+GkFgmB9jI3O7SISwSgQrMJYMqFArMXUmxX1/sDPuW4mzqNAKZCdfJscj6QyG4UMVsl1CqqGQES3+pghHiY1CkKJKINgu2MJSBMr8nwguJltVhMdgVS0KoErkPqoLLddhN4jRoqZU1XCDhiypKP0gIkotR3MRskL1uPWqjAKzGsgomyHFu297zEagDSbcJsXZTIRU8W7+wsEwJwT1hKRQkXWgM/rEZ+vBxSlKFTJAWEhnS6sMNq3Oz8X7mBlM2xKdlJlUjBca9/LAtQNrEBHHg6OuHf6S3f4vTLnND4ePutb68M8VFY6XmKvjGWn9pNyOFwq0lKoLL8TKtn3bJP6a84nUdCmTolBNPi8EcD+XgXiZUM6G9NhZABPO3a6JAGm6AGTVWzDymvowbpAYIqnxwkyJFI3V7PfprBs6/f5BSEdAB0hW+k+/TDQxk0si+PiMkRtTJlwXI8ncBron9e3vL90UY6/OYiNzhAEnwdu178+BGx3gYKAz2x98WAhbIrhXNrP1hj4ueD3wloQkqmoGxBAZU8fIWRBUXX7B0KOrN4OYtUBOj0pRJ3j0gMmV7lXOFMF2B4r9CEjTWw3WWOBiCKFiqUkVGUwtNWANUdT+A6NMZQUbXZiH4/H4JrgIHoCb+cpR0VZELixZ1i0i3OETZAvvTdsD7z4nq9D/5PvtCV4TlEskyIexFofgMPHirSAiergLCnzVyMroGExjYMGtAXk+5HBuZhvsmCUVZcCqCIkBitxLYhLQR0CtntOYujtFnRKrJP45wZez0jUtSXOmyC+KGTLZucbZBwgbx8hdQE+uqEL4nlFPK8oDxO2x5E2bVXTfIy2h91HCMfl7EAbNYpJGe08NL/ZACtLzhw8ZvuJfbwnOBGWDFnS6uBYkO6v1toCXgdA0lWNmosG6HJMHs9qr3ZrANISbvRQQubvO7vLK2px673n+97sGk39uAqW64DxsOHxccYQCn643OG6DlgXUvF1jRT0Ky5iY+PervTnw7XiR0Bt9J7cAKf2hqLYYui0eA+GrVWh2l5n0M9EY7BRS/MXFAvlPnO0AG1/SCVroyancGtvvbE9mS4ZOgTkg1fTQ1tbB895Zgi2B9qrj8/0aRd1CMjmt+NSkZ4XhHVAXAdTljV69sBKpo/O88oZhOJYeRDkU4RsE3QIFHFTxfCSIaUiPs2Q6wI9HZDf32ErEfj/8n6vX3GKxvjE944zmhipVMXp29p6PKEUK5rfM0a6+4VifKn4/j+PCH98xfL9EadfJ4RNsd1zfe/+OiCsPF/WN3yPdO0+Kp3ZG7q9qagLxaWk0B4kk2WwvFeki+DhLyriynOgTMD4SXH3K/rn7d7X3GKLmQkrFe0tJkWPazWyilveZmATTB8S0sXiFhWkKzA+se91fm/VzgzIc0B+yPiTr77HNQ/4K3mHkruCcwqKyzyi5Ii8RGANOLwEip2tPcFbHtmC43F6Nc2TChvLNQHz14p8InjgfdCH75hfTJ9MA2EO2O4jwcbFfaf5f9Mg0QCs91yz+7/iZ51/LtjujWFpBbk62Hie9wV42JA/H8zGBPN7aQUYVOD0reL07YrrlyOuXzJu3e6OkEpRMN9T7Zz/+dDOpPHZwMrIvXT31xaXjsDlaxc/ZBx5+IHPa3hhe8zlPmB5ZwlwYV4impAuFXWUxnYog6Bsv61S9OPX757kvu5dVEd8Q6NxvH412pEHz4UG4oOjAbSKYVNttQoUueIU4nAErImvwBIQ/307LG7oU07twm2Vqt2OUYdCtoO79mpLQ/wyCxuNLuSKldkCIrtOoCM7NyhtEZSVlKerThBRHI4rRHKbX4ccmpJtDwQtybWKxU01rjJJF6eR+aFf0WizexCg+BgLUdTKWVnB0Bf49Ybb6waAatWkVlVzVM+ur1pi3KvAelM5l6I8xC1w6AJKXA9NoSkNu61IFbT5c+hJGH8A9j0ldTnKzXicdv0WyEmgwE8XALHPFap2Oo2N8x/7jYv1CKtR4W8N+tX/TRVIsvIRur34NfmAe7NTmOCTB6Qt+aq8eFYHAP0tjIV2CSKt4tEqxv4A1R5a2VHjVFvluYsJsdrllHv23lqA71UkZ0KZDdzcua9L5eeq9qA0Fy7oUhKCKJPeHK1fUZjkGt2/7TO36d2HiFe+1NFkS+IFJnQCwBBjVkDNBpylYWCWBmmze8naptorxXiIPOugnJ8aFWULVgkRVgZj/wN7vPse/SY8tlsGcaDFq7ce2HkPbwW6Wj0oKCIgYi9W2bXPrJD2LPzZO9OhPS8HZPzfIQDhla2+tqNa2YfrCbnZvVOI2772VoIhtMQR4Nu7320CHLvrc6ZCq+QKzO/Ijc9oQX8L/v/j191er/aHVD5XCUySSEXleJC40Y6gHJkWkjaKcrDeSket1UCeffCPwPcFgFK54dYSW2KrluTmYqyFTDDHmQSy8+N+FnrFwn0Fr197C89OgKsh4JZ0ARZoBdwkov5cWsUj9ETd/bkYSFZH9oDV0Wh9QGP8tLFBQVqFlD7g9UNngtz65QNuK8B1R2k2/xNKJYsAlpy9Xm7bo+63/f1UYXoC5tf8i6qkc6qDThG6E6HiuLRqQmvjjgWCHkP4Onui68+w+er+t/sRD7D93Nnfh/tkfw+exdI0FW6eT9g9b/8df7zVz1pt/qZdT9WdDWlLdplIq1XS1dTKHRzFj6qq7X53Zz19u9wIqq05Yl3px/XVdAZ/HwDtnGn3vV9ar/jb5+1F7fZn/T7m8VnpsmvZaGCWX7+NadyL5nCM2M6mw+4zbi7Kr186ILrztf0zpNHIQ9Y2mk7rzn7g5z4BSFKfAzSzD725Nu0xcNhqB6UMBFBjQvhMdA2ChppUxisOKPmrDoJkAGgvECkcuIlrhc/VpX/ua7fvCeb3TdHbK/OBCddwAbaTzctVkFFjTAOPDduEiRY3Gl27dkahT1Rxm+Ckjgqpoc2DDoW3HDZvk9sJn7q9+X7F7dfV7HyvGK22h/YgPQAkqaTkx8qzwRy01oBt4XhCbIExlbMUvI1Ld9cBwFuTGpNjb2L7fV2sDdGAfG9/8PXGfo/6eeCCasa8ChlNk6OdfRbzO7CpURFj9zGujUEbf3WE2h7RAGS7eH/e+/zL1dwJUPGeg1I80WfcFpuC4mKKBHB312r+sPUEAxyXZsBba18I+P/r9bsnue7FYyBFaN0gQ0I9DaR6qI0ZCECdYq+cVvZWRRD58crtem+Z+k5OXgMQBhcKsc0EGyR+Mfpa2h10SqQgmWMtB/ZRlCn1CjK6Qe+dXVwcRed1V1dXrYrxRVFnRTxSAfH/196fNUvSI9mB4FEAZubu997YviWrcimSxZ7uJoc9IzIPLfPv+BN7HjjDrVkLc6vMb4mIu7jbAkDn4agC5vfLrKIwKVmdJQ6RkIi41xczGKBQPXr0aKMrm7CMZ3Fdwc4PF6kAClEydyyQBboG4FvW4T6/GSCHAs0ByIJwjjj+hlQNz6yOnyn57dTk1ry+wuqr4ivngdc9PJlyWXDBJno7NQFiVN9W4C2k27U5EWB5D8xfVW6Qg/FpslM9mG0OBQhzD/RdCryBDFZbVU24IRQFZn7W9v6AGgXru8Qg1Q6tMnKeo0mNs0WPoAifZ1y4I/MdI404K+IlUwXR2AJey+Nz4nSPqgHlbuBzXjJCrpDZMrl2IGGnOqtGiUMgZehKVEgVUit/DrSa3jow898Fy0gTI62b62S74/N1o1uLZQldjMZQwJrYBsJRueb0GLrdaH7+/CuaEeMa7/MglWIfHuzlA6MN/5wyWU1VUYzPfY/s94wDUAxwpKkmkiUgyAjIGPHr+hZiNVwQxfNlQggV83lEfR4YVCysZx8frf2Woc1E1CvXigM3hZSwaH0CnVLY1KcVJlrSbYrTjVtACDOcTtdJlsk7Adsbo/K8zZBUEa3dVi6CXKKpOVq2eR9EKKBJkO8GBppbNUfT66GDCYMJ8jGavZBG3wRgyK1lAkyQiOuW9zq8uDOcmniJOwOe7WHNFp16DJFzdV4bawEAtFZmuERIYdYdYyEEZsHOAIaE+mAsh1wh2y5TbVldWSvGz9n2GgHBepRW25zOdDS3e2cd+EHrzjBrTTsQBQChZSY9k5uPCSqWvZ73E2/7/y4iH8hiCUWtFZzd755y70ugqimYClSsbmo2ZFmNort3TiqoeF0FcqANSc8BZRuRj7X5Hs/PBx7QS6QDtAXI6meFIBZg+shMQpwVaYbRR82eb9rstpcRtNr6TbHPzlYTUPN9wRFQVpsn6z+6nWjrvV9hmZjBLUeFfr0gRMU6p972qAJh9QyUYDAGQyjKVlLuKDvIoqQiY4rMsE+hBQBuD8g2McZVtJZy1eqtFn6G16WnF4pW5tMrRk8BxM6o1hruwrUfVqvP3YqBjMKac6DpJexHeTMx+7JsaKKDoG3x/tAIYrod0fyYvt9Ed86hEFzAzpFs1L3ZxHiEDB33IHtLNKCYzQV2zl4DIwTZtBY8w+9lWlfg804p25kKzuhx5eWmveBOubDUp+b+Hr8+FWorNF/GziYVRckRP//2HQBgO4/AumOCZA90YXadjjjxBeootLVkwU8dOiOD7AuznTUirqHbag+6Aav1dREvq8m0jHm88DvKRMe6HBX5fQaCQi5sDeb+kfe6DVBrbQVs9wGiIz/T1MTLaDRh87nqELC+SdRKMLEe0YAY9s/H2UgGPo8J5TQwK1uA8XEjkFET8hQaQ5H7XNsZWwejkY6hZ/h3JrDeTRR3XQrGX35EKHP7XVgVONr1QFvQWabQgoq9wOvwUvHlv2Nbzc9/GfH9vyI4on99j2EFlnfSgrF06UFpHQXbGz/IpNupwnKtYm2JGmXa1lyaFcMj7cvlywBUtLZGUoGlUs9nfFKoMINMtp62tmMPP6/QwPe3NlRGdR2eBmgE1reK5R1w+FZw/IaiVMv7zrAMm2D9UKB3ZOP8u1/8GDUL8DQARVCmCgRFfIyYPlPpe7vvG7DFKkLNhOlz6QAvqCbsNixsijEDD3/b1c4bcGZn1vyeveyHFzJp1nurox+BfGcBfybd3HVoymTq15aAGz/Tty+jQo/A+p7XF18C8DIhzlxbIQOHb7TFP86S/fg/Hwy8ob+UT2ggHst1qHhMwSpfb3z99Fgxfb/i8vWEb/+3iHJ0f7bbrbAKpk9MBJWJ/nBcFIdv0eI4v7d8EIzPVDR3wcG8XfDfMv7HBbnwh1gNQetiKigK7y22RyzdmOkGhCjQENmLbiCdc4/87FFQz55wk2lH2NGRzyvhETNk2yl0BWKhUST6h2Y84gJ4nUPrX9mu1+X7aTB+MBWe7t9lcpsxDW6wXEZfIGsw+gawBvaC8/eERTB+4vc5NSTOwHCu3cApzFFT1CFx879C+1H5mrBQmS8MwaTwCSt59qu93gJSJoGkof7lvrLFxjEzxp0TNDvCKK3WrTmrbuh3aJbADtoU4FQu0nYiqgW0NQqGC1jXGkwYRj3j6J/pKKEhRAd+3viYEdZqIAgDtWKo076mI1i2tAyBaN2szJrlQgXlWhkI7KT4+yLYwUjVaHGvV4N0h8LXvIMPrpAqkXVHjR7o92RrJ1gqgEEbWmZMPWvhX9Wem6K+7tLtKN3OOQBoaOJslCtH0dWDNqudM+cmLtqf595PNIXH9j5BE+kJq7CFpQRUDEBQ1JGHhG9LPSekJ2/T0g/O18h8XHctbbQHfe3AFqrXEjipdNANyGEQSyErp39iZz9Y09vXq/ew06kiHTNCpIqoCJCHCB0DdN0Jb70yAf05C2mPTQ+gci5G0k3LMXSWye65eK2TZweDtSQSD/JXY2pkRXCmgx/S7jQK0FpYRSA6i+IH9eYEZaQUkCLgFyHMOKwbdEioU6I92YoFUvY5ifYh5ArMfJ8KWI6CHTqfud65zt0udASeiP/u2oOgbteZXFKdDMVd+kHZ2mGNrnprugmbQGrtzmWz+dcApxTagjAoagViNUf59bAg1wMDrx0PVte4hYCaCfbpHGlzL9ZPemWg0z6nUIHShTlcLdiFaa6Ugytp2TyzjEEibmeZjWvnnJ0JMfB9ce3lKwQcxBsAwMtV6kFx/zBjiAWXcaQC9JKgS0RFtd62pAvG5I6yjeKgk4EeQyDtcgytDtABBS+p8WdG0RoxoBsIa2nsBgAIG9s44Ugw8/os3YlJRkBX2xtFSZcupEFrEGZ491oKu0C3HCJwoa2/etSltj8cgwVhnTkiO0PYMkB+xtv579stdPyoqQW32r3aQQwXHLqqPYQ/K34f14y27bJfn8ye69UZ7P2h9wEuGS49UCL9V1p2b/+ZXh9H4L+fO1oE2zIS8FnYa5wthEBgx/wOZ7c18DOCdktAf8GCLPpD3ecKayUI5eeSMwqCQK0Nk1Sn3aK1S/IzNm4dnPJSoHDMiLFiq8bGygKU3Zy4f6m0J9spIF0U6dkAkEngVPtQSPV2u+MUWZ6Z0mobWc/ugAlQh9gyv6EqwiU3GnrL/gHXGe/QkwXVmZF+Btoiq2OEhoS0XKCPT9Dcnf+WSY27zwZM8PWHazddFMdfvqAcB3z7/7zD+tMV6ZsR03dmhw9oc9/Wop2pZeL/o4v/lb7W/cx0FmJLwhgNVwMB/7ae7RrLZHT3FwcbIlT6Ok+XitOvL9Ag2E4nnhFG4JCF67scBM/v2foK3yaMz4rlDbCYsrwH4zpWHB4WLOcB9dPI0oeZ91JKgA6K4THg+FttvcqdldHWkHCOh2eel56Bb+wzRWPfHL7nedqCxihtz1HJWnD4WHH4mKExYXnvCUAAoghPLmrK66gjlf4ReJ1hBdtrTta66J4PfPgUCUCZ0KAUYDRBNo8vnv88Yvlg7aQu9Es9QbcXCa4DWvmdKNpZGy8F6dtnpIcB+T6g3FWqUOd+v0k8JjQwTQRx62DVvsxGxRKXLxtkKQjzCtk6mPP3jT88yF02SCyWQYiop8nUQmkUUOywy2p0I0CKnwz8q4wR5UB14Hw05MpQxDiTo66Cpk7mCBJ/5j3lbKFZENLaE9lwZ2lPn3FHkxNJh0u0Qjy9fkps52DOkNNFWc9h2cut0wNVfKNKy8RpYL2BBqJF3pza+0u5GAtbEQSqoM3ORefB46qxIXdEsyaxzA+Nbry4E+o3DNaH+GKx4FDNWRqeWG/nKLvXsSm60SsTHRRRID4HlDtgfJuRUsE2FJQi2HSCVEGw+h5/Fk59dpS26MTrai0+zEgPCfkUrJaYmzifPDgxMYMRiCtR3eG5XEvpg/XTbmy9rsepW1J5/cOLPVfvyZcAIMDpm6LK7FeYILlAlhWyb9rnNbhXgaSdEo3iTAMTtmq/Ce2zpdqhm3g/DlyUSVvtUjma0bdG6xRH4SHgCsx1lGZk9oZgnznPUwcnNPYDpg3Rqzlq2UADfNIsV0rUbW3YYdZoQ2BgoJZxqon0ZG/6XQdBfbYMnveTzGboV0P6izm6BY0VkS40tk5zAdDrTP2ea6feNwEx+8trjoN9l6Pq3OdEuIKSBdLrzM1RSwqkijQUpFRwGDJiqKhVsOZAsspDbCrBQAd62uc7HVPAQEGSsQu4zon8m96AO2hBTDguWH2doBZFmksLzp06F4oCljnyDH0+XtenMHCyAMQcfSnMOEqKwDgCpUBzhu4yuRCBDgmI3H9hMxpcjNwrtf6Ars/P7Ta9jILtzp5bVXjbldZWSkAg1ICb9LLrC5oZoO2dPsAARgvwignwbKf+fftgA+gO6L4dCIK2/eLX5g5Oo8m5g5V2n+lOmvUD9j6lwwtvWLJgq6MFbayJ9PIbMXvo61NqD3D9+33eAFgbpdpohwG17femlG3D1xQReOeLAxDWg7WSEDv7vK64UzlZP3wYMsbE9396PmEuAmyRdmeWJvpD2liA95WXCitnAIOawlr5dp7YeZsns3UHwVaYxUqLBaaZrAZ1vYTKMiGfE//ZawpgXHvZTDlEIAgkJ0gJphheIY9nYFnhAKtoRzDiXFBPI3QaoFEwPPIh6RDZWk7NgbfyFK5ZzqUHh2KgsjooH03QyBxHUVhNsvQWKRWIuWfkPfD2WtNWuyxoNL31gfMZV/dR+lp1dgJrcwPLjjY/08BgcaMnXkYDF+y8YncGNAVjzwCFTHGd9OJAFD8rvQhqntqe6DRWwEV8mP20+5zdDlnAaz4RmRa789gCLjG1YVeFD6Van3RjBgQQmBRtWc+4kBXRMtDGFlGz6+WgrMtVsHxmLHwmawA2Mr62ewbx6WxZ1E2tTZexY2CsIQuQ8yF2EC6gKQX7WevPhiAr/cc6SGNrDI/MRjXhTYWVoux8E2shx6yVZctOZLikl4K9mKZnthAFcn/HPfXJriMB+d50EKpg+ozWxxYA6oEgmPuyGgWXP79DHQXpBRh/NWL8JJi+V+Q7weWkpl/A644zOxmUEU00Kc5oz7wHudJ8+DIKDpszbaSDzs12cy69BhWgonhNbHm0vVVM3wum7xT5EHD+MdOIISvGJ6r2liMa2yqswPQ9z97pM9denmIDYIYnOyNkwPYcGxYWsinUF96bBmB8gtX2Gmie/Fzj63Slvbt8OVwJfKmYnoiDA0JRsGYrqlqQ6v4OEAuM7UeG5vDMEpKWtLtn1xNXL0bws0Z6pvW+ojyQ4x0ujC+m77hnVJghTRe1NoWC5z+PKBNV98tBW4u0Zs9VMDzRZ9vryTiTpRwESxAcvguQ84zx+xl3v3jAdhf7Gbftzg3h3shH/nt4VIwvVod915NDUoHtLkDyADkNCGVEzqnVnv994w9vIbRtwJaZlTpN2N4fGEjZIRGaQ6rNOdK1EL00ZKtMAet9wHZHBKOMyrY7A+ss5SxQy7KEjSnudLEFcBLbDO7sh6tgFuhBm2ejmvMe+0OCoqlUunO9jTtBi6wtWxFGQRgovT0+F+x575DYDws7U1v/pydbWCfB9rBD5QRNzXN44v3tnZ90RjPqrfB6ojM1fbbahXOmcqTRZAF0hcCwo3SCczW+bJCiJgAVUUaTOIc0R6pYjzQAGJ64IY/TiodpRa4BCuAbFWwqkFWgMSDO7IW1b9ujkdlj0i4dsSX1Md8lZtgHk1QfSIsok3YDaTSHuAjiXJH2ojpFkS4FUJBaNjh1Fc2pDIUiDWEp2B4G1CHCG9DH4A8e0NHSvutmLYX2QW5u38lJlFa7yt8b4psr17pwa+3rrxxdL5OwH1pStnKKQLVWDrIJ9MUOxsRnfPiecuru0O/rlBz5r7vg3UUa/OBNFyC9uEeC7jQbw4KOviHoAcBlhxqbo9mEyiw7L5U1F3u0LR9J+Rqe0RxEmABBOTgg0fcFr597ubdXoDjJ+FQMiWe9bVjQqLKezZVcCcS6muSrRDZE2EtNAG9LxeDSgKutmBMZOyiQKmSoOIwbpiHj3eGCU1qxlYBPW0SViO2tIKyCNPP+WSvS54sTxAdfbW+xXQ2fUT5RMK8c0HtpB9AZVQIELqYXilIwDz6fBl5lo2RHGJvBghe7jOG5Ihg4qAOzjLIxy4WRlGpdVuhlhu4zuSJsozVxL4i19KEIT4Csr+q+Wg1wbfdfRh7AzH4ayDF5AKBwJcg6cb1LEWCmnRtfzD6o1dCCa4k9W7vaY420Ta2fphi93ZIYZeoaCq3VgHbb5utfgKZi7fN3VdfegmCK/RWjtgFck3FTCqYtJjTy0l//uu42vAIHfkAGUiAsBWHNDLZiYJ1VtTN0o21xYUepqQlBhblACsVumlPfskD4gSOpEUBUjKngkDLejheMsSCXiHVOqKDSanM01dbZRPvhttcBJ7jjfIiNOsvWbkZF89rmwP0/fuZ6b+wUC+xcRMzXkq+11+JZceGN1NHXfkDYIqQGYLQ1dF7Y37xUSK1A7S2EwpJR3p+QjxHD44bhuxfomLB9ODZdhxbENWfc6b6KWAXZgDkN9E3qoKinCkRlOU/mtZUDz4rxkeB1RD8fr7KPapkRp3kbIL6+swyK6XP0MxHWl1qphO3P2NeZnTuhGAgcjLaufU1G6zW53YXWN9ZFOKsprbqPNKyC8NGcTjv7yqFne+Ns54Ktl6acWnwvWO/lDIombRXr2xH5xAxOC/QtOJetthpStV6SYiU5ceZ5xcw5bfr8PjZ72GrOJwNYVaBQpClDBNhCcqIbtrcueuhzokjnYvOmEAi/yyj05dAFseCB27SzOU0w0c7rqqhDRFwV08eM8fMMjQH5YYSL+IVVWykXhGvG7U/cLMt3IkMlXjLPnYHiaLIUBBMJrA930NwBz5oYsGwPlTbKnp2Xei1DRD4J0lkxzgwu5j+nkNb4qBgfgfGpYnysOH8Vcf4x2/fg3Yo4VKxPA8ILFYiHF65zgtzageAZ0GeedZevxD7bQEBFAxO9lZI6+G8dS1TYWq0cgPNfZBy+vGDBPabvOffr2wjJiuN3FeNz5TMaeq1szKTAqgimTwXDc2FZy0Yw8u43FJmNc8L2ELA+ANtbhWz0ZRrIDJuT52r2RlACg1OFmgozr/Ny4HNnEgpms7i24qptbzfRt5VrZXnHGOfwLdrrKCqlmB4V+UA/WQOwvquoR/oCsrJ0ZXimD1EmRZ2A8rbg/ssXvDwekL6fEM+C428V40vF5UPA+pY2fjhXbKeAl58ItrcFTbxuQLt5B9TGz5zr7U6wvGVLwehtkQ4AjrTL+vyC9G3C278+YjsFzO9ZljF9Uhw+FeRjwOXLwKTPA1CTIl54jpeR4B7PBD7H7S5ANLWsd3Z78Q+MPzyTGyPgDd4BeKbFA6x9BkV3VE8VqxlJRNPywQ9D9r7SUaGJjlGw3likpmjrL0XkH73OyqkvuwBXg1FW7YCFAMUpM2HHyV91F4hIQ8Abn/FV0BzNAXVa4F7kqlEzGjq7Q/Y8QNh2Qa79HVaiiXH267CfF3d4+Zl1kE778Exc0ZZR8UyA7NbAXpAB4PtgDhNfq6QkibUhQg8UW8BYgHkdEARIsbTCfAwVWgNaYbx0w9Xr4vjQKayFXTZfrhC9OhCdyg8FsklTnpPKjP5wjvZ5Rvvxa3NhqwY29D+OvsbQM26haKPG+udJrnSIslmlH6if7IZlotuaTjxwEELre2plqEabNjrlQdrB6xlOjQqMDK5UIuoqPFiNHuWbmq2tDOm3aysuTpE8K09kzJ1b7gFciTP0w5fP7Kp20daGeCCjXJx0jncUJ90tXmXw4sq2jWoVjY1hSC5AA9bUjQNan2UPtAHLkmQLccTAMquV2wdXTcysZXLNGJtIEgC+JwhgGbFq/Yud/tUow26aVJp4CABsNeKcR9Qa2u/3YmucN9KCmrBYm8uuytjitWD0zZFgRDn2NaYL65MJigmZlpXOu89zu79dQPt6+JqrYyATvShEjZ4cGZRoIadLYmB2z4GHaGvY6fPt+zq4Q+E4/kz3AEIKfT59Xiyrko8KnWyt2+OTzfbvzjZRjEq6HWl7mHNfbS+1dW7gBASoldlvOvHdYdfAANRrbJ2l0IJ1acus/dupzn4Ne4pdWJ1Ob07U2pH8NPffOb12r5GwH/saPC87YdRtE+hrSYR4mzGjeu8Ne58aaKjMBMcdCOE1YFCbM7cLdk2biWKtRikwU2zXwT/+HN1Z4xq7DjrZSg1dLdzAjg5aghngxOxbyIK6+pnTxct4RrsdQjtjr3qc+xQorijo/p4mdggAgVneH9jyYJR+W38aI7wbhEZhCy1c+xZkHwkpgLauHSin36JkO1hPUQXgIoN7GjFBt34vUGMnAFcBbmvBVUDq9Q54eV0S1VqoxJ0d9+v3oLYoMz1mHyCdhUYwyP0UGD3Qvtuugwqw2l7r8wJYjebsv9P+nYpWY+rf04CasKNvZnTQJAiZIW53FE0sTq3OOLjStwfE9icU0vLb8GWQKmJkNrZa2xgkvWp7uK831CQoIQBDgAtOkinWHX5nwblvRGEd7er7FlCGIk2fpRwCynFg+Z4/psYm5HVV2wPt9+5Tuw0LYj5UNVtTmz/yengLHSrxAssDs/2u37Hd7Vg3Gkyzpa87KPfx/D6SfbiRRp439mOH2VkIA6tg4H9Y0fw5Z+S5nQZMV0cC8tFZJrt7NaHO1uIPfd3H54h5mDBuaLoPNQJBvUSJ63Q4wxIFfS5Emfld3rO0jwwyBvY1hgbKiQKy4UrYrIzdPyVLyG2r9L0NXPWvhgrSUluwWhO6LoGf5cYgc2bm8Nx9LI1o8gJSpZnFuNj9uJualLY1hnbuuP4PAMyXEbpeM72gtmdfOM/FmAPjE7uBsI88k2+e9fXvK5Ngfs8Aef6gjYnqoJs4cPn1F6iHodXRUlvAtQj4+vGzt/Oif6wJWB9YojM8mz9oYKIzDcl024Gh/8D4g4NcGQdmwIbU0d2qCOfNKKDWE/WYsJ1MQMECs3wXiF68YVF1mQwRHRV6lxHHiiyKeojNaJYEnP+M/z79WnD4ThtC3ihF0o2pU0MdWQSAfM/N7yOuwGjGvwz0qHoA7AGkI9ew9kLuSMqVuAcL8on6p7OhzUYlXR8oBy+lZ9b8IHAqU1qoKOc1xACMTsCi63jeaOQMWKhWB+U1lmIZR2+X4yJITm10GmUDICwIRGV9g5qjIgntUHe6QNgE589HLNOI092Mw5AxjRnhreLyeEDIEd7ougyC4czrroPVaQlQjXqmURCt/1jInuG0Bt1/8YJ/9aNv8f3lhO8/36HkgJf3A2QNyIeA8TFY1kaRhJLlsLpNf25OmasRQATKB/6DEv1AWBTD09ZpP0OEnBfI87nN31WfXLEa8xCYrV03vm8a6WCMJmqWKFDhtHARUmO2E9f4dk8DlO8rNClwKAipYjpuOE4rns8HrHqALIGN0+F0DgaRqWXOxIAic15dot7qIxxskdoN8z6ztBQi98OZqLW3I/IAVTKFHrhBSNze1y85La4FXBEIOVwFuWVE67U5PZFO3+p4DKSAOUHeLoMAkIkcqR/kClk2Co8N0YIWqrH+0CAJ29wkszWlUiwH5iiMEaKJ9YOn1OuqDOySJbRADACelgmqgnkdeDAZFdX7TEKNjpki4qIYXrih2dpErxxOrxHLJzJW5p9sOHyYsW0RZU7YVorchFXY8mEmhb+MpDIPT2Qs7FkZr0fYHURlikizYMhKRUqjhooqdJ7Zi/IwMci18haNBtZ4y6LdtdMYkZHhfUm9rIOZ/NAo8ly3wHZHe46vFxwOW+sVu20R5WVADZ15UwegGB3TD2inStbE4DofhVT/yCxNqxX39x+kORkUnwGkSBMyC0nhDI067M4KExpiVE/FUEAbcOR1VHFTHD6hgTROIx1e+BneMsKVbX+gTbCb1HSpiDNbrIWZh1M9DCiHZCqshYqqiTdJ2qw2BzhsBfFyXUScnirSs6BOCfkYEZQUxToK8ikYrdbsfxFcFgI4VQWDZXLFArU60InNJ9bYh+JBjjb2krOG8jE00AHgfa9vaIvWLwpwTyG3YcxYLgPKNLEn50i6XLoohhfahjpQdCWuFaEItvuI7WSBsGUgW5C4m9cW6KxdHVwOE6iiXK6CgDJGxvCm61DvRzKOkgW5h96uqWXyL9SJWN4mbHcmajSZQ3mqgLFAJNi+VwGKZfm9Bz3QajY9IKzCLJ0zwDyj6/Pp7JftnuyHYDWpYbfOagK9Oe0MhtdlBcO5mgMcsN5x0w2X2q7DBWfygdfgNE5nBMUZGF9MGG+hw3n+mnMxPiumx9JBFVjAKIJ0LkjnDXWIyHfJym4CkJyFVtB0F9DXFB8gz6K0FNQpYn2bUAaAZR2wDJxaltg2lwex2h3zadqQYsX5PKFs9EXCVFCztDPR+7zmQ2iBST7sgFAwkE9LRT0ELG/4u2i02OXLivI+U8DNMvnxHAw8EK5viSjjxGufa/c/ZMfGij2A87KG1mYsswQmbCYo6FoJvrZfCaytb4Bpo1hiGYHnvyBI64yX9S2QD4rhRTA87X0EbXTzy9cB85e8huFZoGegDgk1B8RzQFwYxG7vKsIl4O5XbCd3/jrw80+K/IYZx+GR33/+MQUe44WaHHuV73QBdGZ2OXqv+Ejg4O4Xgvob+lzbg+97AIFrl2UkFIld7wTLBwNhZu6H+UvByxgxPAGnb8kEmN+L6dT0oHh44TmfzvS38smylGLgU7QzZbX2oRuz1JevCSSNnwSpAIfvC4bPK7a3I9YH1nkPT5uJ2VEvhD4c9YDe/E1FTcDyjv6Z0/v3QNn4iWDh9iAodwCmiuG4oeSAdaKfIncZMVXklwHlmwOi0+hjt5nT54rDJyUL4h2B4Hf/uSBkxcufRSzvSVmfPlWzmQxCz18Lnv8CyF8v+Gc/+Q4fz0e8/Je3SM8Bp18rjt+TIffx//UlxueK0399svX5gPWBbIv1LmB8qXj3Ny/QIeLzvzxifUPa8vJWMH0E3v7N1gJbiNg8CdJzwfTbF5T1j1WTG3eIG4DXIifu+NcUet2a1QU5zU9bTag9hAAetMLDVgceqsi774Aj8B0VacOcblXLnk12qDtAbiisj9oQZLQgSaU7T2KfJxUN7e/319/jDqT3UeuZJgC77JAfQnvakEtvx3VXU1M8ELbDPVeKdIhAYrXvHRrlpbX9gCEvYgi2OSWNSunz5QI1AZaFVaMrd2dC6u5xKl+nlYX42TIOISifl/KzWV+lbQ71ar6kBzmxU8DcWdUApFRxPyy45AGH44ptS1gKa8HqRMSNqmuOOrIWtNWN7gSXfD04nTQUEPVsgf5u2VSFqlq7oFeUgFeHBzNawXqedkBBY0Ddi1PtMoXORPC/ERUhVUhUxFgxRKLNhMa0rb/GTvB/76650bKMHuhZF2edu9q1O1BxjxImoogQUrkQXwX2dv1Xt21rQLyGdlcgFkxZsr22uEgT6VhtX1SqU3o2pgFj9ntp+8f2gNeBmoidiP/bFmcrorH1rtIXraPfXjfN/jstk+drpAE5mYFWUWv4bo3fa5UWoOHVutlnHFuGSwCxDEDPskhDtcuokEPB6bBgDgMWFRRRUuECUKx8wetvnLZ1dd2+JnZZ+7auzZa5086oCJZZ4pxqCNzve1o+2uP8nYMCfdICXG9r0fbiLhPQ1vugSKlgSIVTp8I53lNNdntV27Pk+nKbqx7IWp/gJiJo9loKvDtBb+FRe7s5v699ILanHe5HZwfsJsN+dFWKof7dxrTJHaxx+76vT92X8ojZbCkVstjFT8kyXLu1vj+l9+vd/7+/btNC2J89e6V2B1U92523CBFFiqmt+W7H0e3WK3u6P0bac9u9Rv25JIWOFcOUMYyZveAFWA8jSKvrNcw9rYirD2/PzOuJhEyjK6ZScMDttTPwu4drVaj5EU0gsP15df77Ob/7+XXGW3uG3e8B2s5BefUec4Gu587XCZyZg/4i3Z1XwiBaLSMC6WCjM7F8LfQJQluP0N0e2F+HLWYVCiN5z9aMwLPEBdF8fQtBn7per/uuYi8QaOsfLruzxO1jfxbXc7dnnkno5W5iOhttjtsfMfsucA2M7sNQnLAG7Ta8zckPDV3ToNj7J/uXuWloNg+NlRUPGTUHaA4U5qwCrNLP6GTPzhIMXlfbfBb/btdqKO2xXmU16fMB+/ILzqv0uYOd+RasMbGkkCgongW05++2VQqZV/v5bYCeoGVtfT25HVbXNvHvW9j6p/k+0XxQDZ3RYsyOapRYr+tsoGe0+XIfSsw/zlbqM9l12FTkI9+TZqXuQennpu9x72nt1HrvdayNNdmfcTtH/ZpCB6gak0JhrM3+fNrcAebXOP3t2rA5oMBnyt+5aJrblS7SZz5rBenTBUZTpl9cxgDdaR1JUEhgwEJGhnQw2M5p13ho96csXyCTLu5YMb7mmLwqR0W5qxgOGadhxXkY8JRo6/2+axLqJZUAHRNQK7zVVmMcLmbDPZFhPn05KuqzqfGv1kpLjJ7va//VOv/7xh8e5IZAqqZ9sSNT5Z5oSz4mc8DFBEP6htnTwfYGWoMCmegyYBskAjpWSA6YvokICykRZZSGcvlQIcqRj8B2r9jeGapbuBviLCYCpU3xL2yCYqB4NYTG61X4ZrS+gWUMKLs2AY64afH3cWNuD7FdTxOYMKffJfD9cGiUW1tYoQKj9fhjmyAz8lvh6zJrMKhmHRBfVsh5Zj/AaYQEu7QKhEvPgpXjYPcSG6LanGg/IDK/P66ci0bLGoB0yoipYJlHXF4mpKFgGLPhDrsNKp7dHtgC6IXX68X25UDRlO1E7r3TgEIWXJ4m/OfhK0xDxhd3Z5Qa8DROmNcB9dsEWE1YPtBIhXdsR9EFTzrVx42yOyo1AhgFKgHQAXGtiN9dIAvVZPH2gQeQC4354x8stVQ5j/U0NJomDChwWl0deg1m25TNSRE6RFOFpIoQaYxqFVzWATnvTlR3XnxdG+rnxliFmSuvCcon2z8D90LYpFEAVSgoNbygtSkBjLlwF5oz/LtGA3G0gzFOTWzZWWgTl6gTAYy48rBxtfI2l+bgw1Bqp1y231sWyxFu8ZZN2QQ3aqAOwNmQvCHxtdYqxIMHz9DzJvyQ9YDXsji5000BF08RvNwdMKe+/0sJVHz1Hwn3Ra1svdTAKT8YnF0yBVP9pdHPJ8H6lofE8X7Bu+OMeci4DBm5BsyHEXmNyNtE8a5dwNjwBG+PNErLRjaBLle9bRkv1pGFVRDnTIDHeiq21im707kxFEx8xx0B1yPwtV6G0GrIfN9ROM7vk2UnVF9kX74Y+vcsOkCWyFr+0DO3zY77X7afucZZh7vd2/Mz0LMc1RrPA3K2M8PNkDnlXIvV5sXuaeBn02fuTgCdNzrN3n6I67YHrg2AcYd85/jx++ngS1bEXHv2Ct0RAMDa2kURnEESAuoYEeYNMm/QcXBhVMiy0SmZwBKhFFCHCCnMBEtR1EPq9bwAUFnTq1UwPoZGJdseANkE+fsDtqi4HDPCUFE3OuiSw9VZ3f4dxXqh86wIi9PVuFbKwEyY99otkyIcM47HFR/uzvjZ/Ud8v9zhP6wJ2zlBampZEQ9i3PF0oTZv9eU03v368KBdJSDkaNfN0pP0fIHOC0GDPRAPIH33Ah0OUGtr6LoVrnwera2TByBlYk2Zz0ec9QdlIVAwuDH7wOcJbG8qy5M+84dRWcPm2UcP0L3VVpnQBPG4p/nZYSUtsBwU2xuua9Zki9VB4goAa6yavSMtXd206XX4ulbed7pwv5x+syGsBZc/m7Aks2NDNDDQBM/Mxqtw/wNeSqVIz8wKoZiDugN/3U7xrOSjiXZGlDH04C8Iwhbgpvjw3WbBSmiMlnyK7bXQnrVToX1ML8DydyfMSSGnjJAU5RKBOfayMfFghfOznegTpXmPpJBxENdqzAWeu+t7tmmR9yvuTksLY3KOWI4D8hohebB7sTK72inDeQq9jn3wZ29rRRSaTUBP1XynCM2KsCRi8aXbck0BWjo19eG/Ku4uGem54OXHI/LRzglbF8ffcC3mA5pCrj+b7Y7zm86KN//F7vUNg8t6qMChQN5sCKlg/Txh+vWA8TPw8F9nDB8v2E5vke9MTPWSGABby5vxs0BKxOVrYPnxBlkD5FcRoQDrO0U5KOJFsDwHJn/sfa5GX9ABBqfWnn/CcpjjryOO3xDYu/sVW19evgrIB5bClaNCSsD6OfQArwKn7xTDuWJ5CFjfca8v76UFht7eqJgAbljR/avAet247uyTkuEihVnc5UFQhgCp9MGnp4rhwprbfLTSjsNOCDYA9WC2pEpj5oXI5zN9D4yPnlgZ+HoTMt0UqFNkCzsHhQJQB8X6TppGCuAUaj775S3Xjguj8m/apPNPKuqhQA4FYajIW8S//+sfA0WAoWK7D3j5c7bW8r10+SC4fHEPDcK1Y60PpTJGU7ljptyuZ7tTrF8WhJWCtCH20iLqNpHhur59i7yOwP8P/+D4w4Wn/PDYO+NixiuZ8MLQ+fKt2a8vhKvPQvfkqvDXDrUHMKtbFWGhSAlpz0BD8nyIO/3sB6j3ubNPi0DKgNZvLhHdcyerDoCY49oznnZ95ug1GqZtuobKA83pLx7UvxqeLYprJd+/Scw7BGKImALi3HsXHnHHtHS6rCwJkhRYN2BeINNI6jgCxGAsWbM5SAOC08etZ2fLMDj9q7AVixtBpywTWVLEVJBSxXoO0DWgiCINfrL6s+Cfak6k93+EKOQgqGLZe0GrU200CgWwRLxcRoRQ8fXd0sAOEcWzO/vSA2+nfrX7eb229udUEFRLU9RRIBo4p7lw3lLgPecCoB8WjbFQAYy7+YvXz1iNsdCCkFc1cL5hJVVmcUUNhGYWRVvtZ3dW2voTuyTtsZZTlctkfS8DoEO1e6XAkjs8tfBD9jUkXlsk9XoL7bMp7txKBdvYGA23KQM648BUAzVFIKKrOHqAv1/fXn/rKsBqNZAAKcamVI0h9noj/1MqZMvQZbF1IUAMRCu9bZlnvFJ4dWPX68LXeciAmpMYBiCvkaCP2D1ZixhvH9JYCrYevUa+1WD6V8ROQysjbUc9KHSqGFPBMW0Iooii2GpAFMUyJGxpsiyar+n+oR4E+BrT3RqR0GmQjsDWwU9yD9TMjkTnFe8uuPrakR60CXpG2moZ68jSgY50d+GzOoABbgSfocDW+SuDn010ql9eXyv2va6SXyYLdA+kh1Jl1vZxIiU6lE6Xb8vY913tNMq2vv0rPYO2t/cWqbxO9Pgz3q9pz1ruP88DC6+T5X7hmmzPy4NtVaoAAyyFMH0A2Uz0azJU3Z3ZEnr2J4V+L7bm/VldXbOaarUAa5YW/MgWgKAoSCi5wvvkXhc2vgqcfIKqnc2e3VO0vvItkxvplE1DxsO44M8Pjxik4m9P73EBUKbUWojs61YduGkq1/vPlFf3ZhmRMrIlnKauSI2cabuH4XpdXGbAVZPNf9DQhdxgSt9QaWt5O3Fe49zVkffASMsMKtq6R1DUqYLlLtLshWf+ZVdDrp4pMkEaCiY5ZVXYEiXbHph4DS6EpiuApsLuf4yhs1vzrkPQMvHSXazOKrPg9XlFWAvCNlpA3P0EB8anhTTuchBk76Rg58KgaLa9Zab2+6mdL3296m79OgvFzxsXWONIKKHTy/cMIhc0KlYzHzZBegkmglYhQ6afM5v9ebWWvNzKxe56Pb9Thne2NQH5VKFTxTRmTENmmzFR5MQzZIuKOqZGP28AqNl2r/FULzsytg+UCRhni7T5SvazaOcdKgSmoxCuJ3l6LJgegXhesb5LkBJ39oLU3uFcgXcB5Sid2aJoAXe6AIdPDP6Wd7S3zkI7nha8Oc749ZwQ5wHDiyJ9XhA+PSPNb5pKsO8X1zEYnwgiLe8ChvsV25yYoFGj/99n/j90TRbxjKmBPkxaKLy1jb5fkcaC9eWE4YllOuNzQZkCXqy8pU6Keqgs5xm7DZdKOv/0fUaNA9a33dd3pqMoyyUpmIgGkLgfQBDKtVZ4PvGMDtbnGGSGHUKj/IdNsXmrNNufdWfj9qrnta1Rsji8Bt7XRRlZEieZStwalXZc2+MmQD3t7KgA8SKYFtqa1pnDShSq3Vs+AfhiwfHITKCqYH4eET4l7tWpQseK/EDfPp2BVMUUo0F9pQOfkydfAMHytjPWVAQ6kOFWp2h1ymj+CYNt6jaVSVB2/bn/vvGH1+SuG/RNQDlRKU6H0JA2Skzb4ZHQM7nuEOzoF4Ab/+7Rq5B+AkXrWeW914B+uGmwhxONsmA1sMHasejjYA6zTdZUsUWKX4SVtaH7z60ePNmFOXrbW+30BQB0p9KN/3YiypkWP6T4N8WzfGNIU2FEQKNo0sDRUfcWINcTTkDBs1awQEtCAMbBjJxCjI4IgCdhrcCWEc7ShJGgNqe5b1YAVkdtGefZek+euKmXxwlLVGCh41VfBlzmBJn5eTTanBevqRD1LAaaofNNBNBwVdicDgpMBYfDhodpxZthxjkP2GpArgF1VKwPzEiOJi7QnHDF1aavAx2T/QFIhTtzPjdm/EinAGRZEV56jZvUpf1blxV4ALMkKTSHv1g2ay845LSMMniGCwx8R8BpPbqRAuvJU4mkfNdLQnwh+pkuJmCRcXX4QFibqF7feTCFv8GEfSZa5Bqwa3xvxmvkgx5M5c9HjQBSzwru56wFg1WhJhLjDprv9Zadhc9rZx/43u6f5QwGo9Nkc4R83rfCelsRqFN9QmDGtmpDrVt2HeDPAz+ztQwKAbIVaAjMTI60RXQwK6RESITJ7vu9gDSgM5+zWn9f5NBqra5EXiqu5qo5sJmnUh0YuEKAupIWFRbayRBIyweArUSUGvByGZGXhGSHOITz5WuN6LChq7bO+MW2Lg7miF9of8ImPTtq4I3uKa7BvXwbBvQ0anPAbk1IE6ionkU2J83pbk3FN3PasAi0CObnCdua2Htbgfo8UBk+y7VKubQl3pgXZDDQuc8HRT0wUCfAZAIb0faB1Q4OLwQqvd6OgXJo17sPcl3Iyh18MbVT1ukJhWB0B9i8AmqaME207xDLSvk0BwsyF2fmlL43Kqmc+ua+vRbV7Ew4cq9Y3S1rpenhhnkjowSJ62NMZHAU9t/EFiAjs5TlGI36ZwJOGUgvpLm5HauDQNVQ/wKEhbV2rhTbWqN4dnBni7QFti4kZOvO+mWLKA4pI0DxkicsNWGIBduQsQ3arqsOrP2vtqF6H1Jp6u5XKuaCRnPjOjfam/Wo1sOE8P6tXbhiT+3UcUBYM4YnQR0jtnvTFFHuk8Z0mSzLYvWjHXzhnKQzIMr6d03aKXv2OlkD0jN7Vo5PQLAjJZ8sq2dOJMVX7D2VhqQO/Cxm2BRxkCbuFy/M7AxPVhKy2rqJ9IUavVWl9S+tr9Y54K8VtmxzbQSj+q4fDm2tDy8EathS0FtgodXMpXPF8MhavHy3Q3wAA2wqqiYIu72Y0FqFVCpii1ETATtngiA5e63U5gtVA3XcHvE5dWdfI1uLFXPW40pwt0ZurTIH5JoQzlQPD0aVbzZilOvgwfzV1oNeK1lgsHrNIqgTWWmLHPD9lhBCRUyV5KMcWbtqYoV1FGbL3DbsAD7JQNoYuJGtZkwtP1+sNZhnqeNEHzCeVyYyAGABQukq4utDxFiTzTXVgj0DjQTMXwqWHMmQeeBecpVo72vLzHbge2B+dw6oa8S6JqxDggRFPimWKnj5F/cYvjri8t66Ztwp1nesyZ0+kk2yvqXfur4jrVmEasGN1fiSoKcCfFiwnhOkDgzGPlKBf7sjoyFsrH8FBPj20ICw+UugHIU3KfQx0wuz0xi5UUarOY8Lz7j1LmC9G+2z+Z7T39HXIbuiCx6GTK0c9/nLwbR4ZhNutTUFAHUyIMbZL8YWmN9RiT5uiuG39MfipTKLLxF1QItLthOwvTG/0p+DJ38s+CcwRgAMbzcc7lbM3x4RP/F32frkMpHTg9wxULcB0jucaEDT13Eae/rbA3I8YHtbgEMF1tDirPF7xgMIBOfqJs2ehQ3ARqEvQBrQoQGYv+A9uLjU9L1g/DRh/NQ1EM5fJZQRGM6Ku9/UHk/+sdSVdd2gIaAcTdp5sOB28OBW2uHkCsm9PtIOjYbidwVDZEDQD7T0Ijh8I80Y+UESzIBVKxrf7qS1lPD+VkQKBPmuGu1ZoYcKPEeML0SKWOBt12FI3hVNy9GNvfMvhq6U/v4y0BCnWTGaoEJcq9FpQwuC8oE3oeYAx8K+cSV4CyJSkd3Bddoq6+j8OoWBrAgp44M9TlehDUTpW/bLac5DQhiTOTWKnl0gCpNPRFFCVgyXXU/fDYif0xWazkyetLlr1EOho+0Z8Savb8GROzAAmpKp15PGqeDhsOB+XPBmmFFVkEvkgXFQ5HtFmq3vnPbNGnaoDwDUGEiJiGgq3FJJEXOqeDAqVQAQns/Qz4+A0JnUXcsJbBb8uoKszRWdfj4vRxfV0DgX4fE+ek0tUwFsAZoV2L9PFDJHxDOdGRcc2ddWuchIPpnhOmpXa/Yer4cMEcVm6wUmMd+QSQXCozaarmebvd8oa3vl6hmTYkWlcqmC4aKIRS0Dz8CFaC2dlVDMoHoNYtvi9syXjHDe2n7jA6Mzhy1DcqETswVSM2MEhsjgt3DNYhrRas6BHvxaEZyi0o5IhR4S6pQs61Q5JzsqqwuPiFrP1pdA9BEAhgpsgrCGZpwRd3Vxe/DclT5XOnHR+jZDuihTWBnwBgEe0oJcA15kRKmC7TwCy/Uh1GzNyHWXD6Hbol2MqgHId1wfI8xhVwUWX/uVAjyFgW6zI7uaXB2GFrQxDyQ9g5uoLLtn5hDU68FwM01ZoFY/pxnIz4mZHqODp+dAERKbd64NNJqvZ4c9u8FaKga4euDklLSLiAHoQYGTAhKx71XbApOB69fVRL2fJx0DITCjnOxgQjhdEZ8Z2T1YE5xxEF2dM7TzLljw1fZAUYTC4DY+LWTe+BgH1Df0/mUrBChTgE6B++TxzNKI6QSkALls7ONdBjjo6T0343mDrBm6BcStoB4Stvtk7avQRLTYH1UaMBEGQVVp9jyulpnI7mgZQBwF0TUbnH2xewYOYnrgFUbatdOwIkjFSxmx1ojReq2vicCcB7q0cfZdRt8sQwcm9vRpCMhcCIBa391WN1oVehxQpsgga81XSroYEmQpSLlie39EvtuBsLsApw77ns99nzkwPbzQZuSj051NUNDQmrBQbCes7AEZV2OYHQUh8vBypkKjPtt5UCcDIQYP8GJ7JnFh64/xszYfyDNB8DZBze7SbjADzGd//JYU+mIgcJoJEqgJR9XEYEwDW7oNz3S+vU9vB5D4HeklI33/gno3oQ6nzgwD2ApoXmnnlZs9bIV16AYKumAYANpngGVW605IMwVIHFFjV3Hf1zUGtT7NA8saGs11oO2sUMRLQM2CeBGks7Qgx5+rRkAtQOm+hZjY1d7YagPS6iCIAwBJKFtASRXbaAF7UGgJLUtcvBeqg2Xas5vR2u7UBKNyA/M9wXH3L/js+awboHYG2x5aMmMPzi9vBIccEJcEqYrxSa2MT1BHRb7jLdVJUU4VUphpDBmYPnLd1iTY7rS1L5QqbHUYA0qOWDIzkfmO/sDTTyPiEvgdCdjeKO5+9oRlSdjyHcICrF8VhPuNQWIhgl/fbUAVhM8J6SwoHzL+1U/+Dr98fINPjx8AFaRFMX7OCF+PZO9YS9G4UEgprorv/9eEl39eUMzHDhvBJafkhrFAdMD4VCn8NtAnf/6ziPWtrYNE+3X/q4x0KZi/GLjHpTPYvFf3/MGDXAt8AQKIZqMaGG0xi5jY3fqG73v4ueL425UChEtGnRLKdEAZgcPHgvRS8PLnI9a3FtwdtfvgYombC89Ktg5SnN7M+NGbJ/zVpwMTfVGhxwJERR7NiFrsISU1e5fvuEZdVKtM1A8Jq+Dhb+lHP/9FwvLBwP+kwBowfU9AdPlgrV5XNBEvF2ZL595WKhRm8Z9+xOREPDPZePq14u43FjctbAd1+ZJ9j8f/U3H69YIyReS7iPy7koC/Y/zhNblVgcQDvtVDRs/g/g4qRqtfBOpOiMDl68Pk2SRth1qLdWs3PtBd/eskyIMhB7tDUAUtTU4BDIOgK51nZhjpiDXqENDYuaKKatkdr4d0ASrPGnrQJioUsLLFx6wkHdmqoaP+lehfXPwEQA9iG/8NTWQKCmAMaKi119GlSOepGo8hs09iq3txCpAHuxYAex82qGcS7DtjFwbz4fWsbLcjCFFQ4FkMv/9Of23PbOsZ75qkiT15dhjodSnFs2tW8yAVyM8DvpEHrA8Jh7jhaT3g89MReUmkGO2l5QUtSCIA7odQXzftWTkdSQxcgK1HO8iYGbcM+esRBHoYkO8HOoetHtGe34i+/i0DxcytXF0H1O5zE7i4jv8M4kJN0uh/sHXYlka43hPNwffWFQGWLesHsmRSs1xd3GvbmiqzB+V2D+VgRtm+i/3relAolUhlCD2A3bcN8xYR+97YjfIDA138Z/7gYEHYXiTKAa2qEBRSb2yd8w2y+2yfoO7I+vrWQMr+VXLaPt/rfABpKPIVw6+IZa/7s9qve2cSsMzB1kmFsSXkuj915b0GazHxfJnw85d3OG8jnmbWnDuFt5XJuo2pO4DAVcRlZ29sv7dsZNFdsNEp4QCAGCHjCIkBGMarDBcA1DEiH2IPksUFrH5YP0ZxoVcBOXgYwim6AMtEJLAv7i4zCJjTZoAl7Fzwdc6gRpqDQFtnSJF/dgMYYKCRZawMbJMK1CotQ+TnCttYGIV8RMuSEfwSeI/fZpuDoFMvLHiNBNO8Ntp1HMJiPY632ua+9S2PAvE6cjsPnSbe1n6xs6r4/yvEFIJlX1NttP6wY2W0VmYGJvOauPqb7ag7bLnSRoizTGIXe9mLiAG7wMmfh+937O1cP1PDSlrbL6e3OI4bng4zLtuAx/MB60p7HlavN3MH8RWTZDd8nfW6aLRWTNwTNlfGBmkU7y3De53zAQUCX0Nk7W+SqzUsI/f7ZqwJd045B3YtsdvQ9r4s9C9sbsKyY4nJbj73Po3C1HyBfLfrn232HGFn0zx+Tgpd7XsqGOgLWh9atu2Sq/PRadBl4n0BPTguIymO7XmKmAgOep9QtzM7LZFWbqWKehpRx4imC9DsjRCkDP2helussBUgOyBqfrcze7zkpNHySeMPVZFeWKvbKe1dZC9kIM1oLBAVWLaWojaNOu3VGkP3DfZtECmixH1YE2utCXrtypDQmWGSQfvtreMU0Eq2Sly8vA0NzG308K3bd1Jo1VTMr0uLfL04KOvdNTQGIEbOMXClJXL4RPVpoAOSnpkLq/mzYj7pJaKzNHbML35zBxXsHlCBmgXbRt+yHrkQvZa3BTkXwfNv7yA5YDQGQnwOKLpjWPq5q9L8jvoy4D/95iusl4HtfCqw3gugCfkIY1cStOQ9BQtafZG5f95bu03fCxY9YHgW9l310qvAvTM+WZcXq4Vd30TUibYtrkCN2jUtbd8Pz2rlk6wbvaKDnytidm0SMDlgolxx4fouI7C+TUiXisF6nbOrAjPo9K2dcWaVJOp1/U79NT/A7FGtgvM2AFGx3WsDzKCCcKFGh8/N8OTGvM9XcYFHLz8SxfLO2Qjmj+76dm933Sf383xff0tbw7gjZdszBiozQUK/oIzsvRs2IA1MInlJWT4IlvdjE+Msu/jx7xt/eJBbMsoUsT6EKwpTMVGG7Z7BIV5dT6tjEm7ydAZkhBk0UnS8pstrmdwhdePA9icVZSDdYi8C4cY9H4HyxQYJijiQQqIfR8QzOev5jg83bJZhsQyJT6wOPHi8319N2hZWc5ILN4YHylKBDCENo/QG6HR4FGEpiDMPyWx8/JoEUbsTG7eK+LICqiiYWFto9bhIEfXELFY4ry3zhVzoe3itnc/1lKBT6ge+HRYQq/MtCp0iahia+qBUc6YrUeN0YcmPvuFnxlVYl+A0nIFgAtzYg+hpPnZFvCY+pMDwlBGKIp8i5nfRngEDP/lNgn6b8O2HCbkEXJYB5e+OSItYltMDLx4MbkzFEewKtHpt7QeJr50W1PqwGkcd0hUFVvaqsxKQ3x5x+WpsCnGAOT4CLG8pQd/mPHQky6ldXk8RsgLnYM+d7+d6suzT2tHd6+Dc1ueulnoP5oQDJ75ubNDtitphCRgfpe1NjUahlp49Z9sM7Cj/2kSDwsr2AqEIEdEdcyG0unKjoJlyskYh7bEY7RgecDtNTaExQmqFaO1ru9aGSDv1HqqQtXTHp1rA4YCEekCwe5/X5tqekFLJdEgROiZIEAs+mPnVwF7KIZtdsoOWQdkuwC10yiV3dLgmHr6DCManCiQgj8meizQHOmQeTGHlpc/fHfF/bl9RjXMLDAQv0Z69tD0YPMNoz9qD2O3EbKZGLxHg9UTLYMSV7S7SufS2KiIMcB3QSRGtftFGvktYbE96NmPfk5bfZ/T7nRPdMjeWHWm0ONChwkZbEpZdywilYEfY0NYi6xLl6vv980MWYA6k5t5vbAlko5wT5MJ541pmtqur1PcAow6C+QtSnLmXaKOcRVEHZml8nTfMaK9AHrmuyxgs+8Esg7fYgZK2Lku5ZjMMXIPeXk9ybS332muMxiybFV4CkPPCtW17REO9FiIEoIehtzMzwDO9bAhLwPI+msPSHfpo6uvVzl7v91or7Tc2ICQQOBNtz9gzXKGSBonIQNd7lcaNpS4AMP7dgMvnN3g+Vnx7n4Eq0EuEbILpMWB48TpXNUe/AxF7B999hn0m0e1kKFRq1SKQpSCcF8iy9lrnEK4yXHVMKG8nbPcMcrfjjsUSpAVH7jQyc2NBR/YSHNpRn1MomWNQnmUUGSJN0s+jMqIBRh7c+r6tSTB/BazvC9f3WLlHotspNIYHQRk/p1krCDCTNH2uWN4EzB+k7VcXnWmdJcyfcsB4vbfssgkjhU0xfczUFzmQ2eWZf7KMKnsyn1fIUlDeTFi+OgFK5ppnKrnXIiSQbUB1drQzOJxXyLxCDyPy2yP3zPNGQKf1nI/QwcpkLhtQK+KT7fmHA9b3E1hKYYKHC5DmivWB2TKpzF5rNLGbVJu/IoVME7Z13AecaPtZoyBPAYjWpqYBPjbnZ7Vz05gnBUAloDc8hUZrd6Ei90PcL2DveMV2F7CdgHQRHL8j9Xt5F1t9LvyanrjX88nYI8eEsI4UohsjcknAf+a1vfmrM8KRwfB2DFi+8HXK63eQfnwCpo+VdZ1veB8uRlWjtv7Ww6PfA8tQdIlYAEhUDO9nlC1i3Q4oR64TycD0neDu5yZ4aomouARj2im297uoXAF20QDGbyPSXz8gSbfblx8JLj+isCGp/IrLjyzQumfp3XavLWESNtqWw8eKOFccPollpgPOPwrNFkoFDh8rTt8UzG8j5i95Zj//JEBKwOm3FeNT7crABhhIBR5+uWF4XPH4lyc8/QUXhwtTjS9Aei6IF9L941wxPC6oY8T0GLFtLKlb3iZMnyru14p8jFjeMntZU8B2xwTi8ExNm3zHtTA80i8nE4nzWk5WG7tFPJ4PiIeM7UdodkSXiOmbgPGR5+74XLt+TOoB6vwl2z7BAH0IsH2oBBENiI+LIL0IyqiY/ywDAky/TRg/i4FmntCDPSugFrF2cQXbKcFLKsJKYCrfA+vbQJbKk7TnE1YyIPJd4rm84o9XkwvAVB57bWpH1cwh39Fbr4bgyoFpqJUdwAzY+us0ARU8QJvT4Yjozql3RHBfetZ5ZvsLJ42s0UGlf07Lklh9Lhe2HaRBIdEcXgK3DPRAB7Ohgv6V7vzt/i+qrZXSdU2fEqoxJ8lRP92rw8LuEdIdfwBNvErNIlZcaScBsAChfw6Kqfbtv785MjtE/fX0WcDm19Jeo+502I88uykEKvhstGVFWpbG5kcK2Ni7MsA4z1SbDZsF1VYnss8+7cUDrmha2oNhBx86YshgSfaBE/CD4Hf/7zoEOimG4FMPTRqiWHt83NYrFNiLuPi69IO0ZStVmmG+Wqr7uZVXnwO/3+tHwwDXFqb/3v5+XWvke9SdoRp3zpD93SilQqdI1Z9rd+6uNpvvQbwav88mteelHQjxuX+dVW+tuX4Pive7svDVgudcSPv8Ha95XYPsz+J3Zc1/31cDHvR1EOLKIaru3AhqFoQ5oMQBKNL20z7AbaChX5M9Q1Khri/iag/s3+v7Yb9GzJ6QBfLDh6JRel9ly+o41b6M0m2iO/d+Df69u+8XI6OIA0uv7YjveesX+tqB/N2T7H9IiW7DDmTxtd6cabQygv2ZVAfryR7AIM3qGhGk1a5ThM5vsBG4eRn79bDfp5bJurIrNu+NMbJ7fi3rpa+e66tHw6DB7L8FsLK3/3sWhEpfOvvP3NsBaT+6ogBftQ3al6bsbc3+nv1DXu0LB4HjYuecBNTIDwxL6EIyO2YO4HtO2nf0ev/OcNifsVf7ZD8n+7kpBS1bDrCG22opy7i/7x2Y4/fvVGB3nCG9RZXPi03/HpjsFwS4svF+bq4C+N18t+dehJmuIMwI7uddtJ3Pr7Pee0ZRA+ykf4e34ZLSyRAauJe8nGxfIrP3s3j+uvDg9fnYzjHoLuPv/9+tn6vfoa9ZZ+iYJgjrqwlaVhNY0mRgoLEZfped2Cv5XwHBgu60+xnYehrv1lnzf/p998y0oLdcRCM0NFZf5vqoAb1kIvc17mUMe19Edt/H56b2ndoya9DdenM2yd5P8y4Pds74CJcNuAOZlntf0KfAr6Wii7ztX+P7YudXw0BuKq0zw60GNtYtUmhq63oiYevPJIj5dmFn6pypsAdbleckk0EWxEmfC8kg+NwejrQWii1mCLDEi+zsiJ+h/TNRO5DpZW0/WD+2lxyArbGvA1+n/pzdtyKzysA7M0VexrUfaiw6ZyTAfYfX66H48+KqiysD+N46E7QZRVBKYBsgAJIqtAp0jS37CluzIbsOkF1zSwih+dhqbBImG5V6D5n+uGSQ0Vd43X6N0cXCai8LurZ3fHZkfHWfvka0ZFE979agr0P7jLgpsO4f1O8ff3iQGxO2h4T5fUCcFeOLZTbe7FBEoPfD2jnaVw79/pAFUVPfYMWckeUDkaHhmRtoFSAfmAmdPhrd5ySdPiRErOoL5evLYA8psv5geAwYP7JegsELaQ1x40QvdyY7fq/tXjQAemD9o2RmJbjxGPAOL2yEHbJTThRhqc1h/MHw+QCNFVP4rrjMlLLkimjtg5rD7odFqZ2mPFCURHJhJkB8p9ghsmxEtkMATge4YrDuD5sChNUoEw+dNrHf+A39MuqC031cGGx8IjrpTjFUkSKtjPc3LIcAlbgT9ugoaj7w8InngO3vTjvEmUYvXYjkqFFonS4UV2YUyyTIE+s3hjNPIhcm80O69W91OmGufd5CoMBL3Uengu1NxOXLcH1I2dotRzRDUaM7ubzXWtBaGAH9oGjiPjB2gk+uH15xZ3j9fe5cucOVaQQl0xFisMw/spgxqkCdYM3N0RwYb1XgtBSKKyi2B6Xgko3i4mabYLIArI5AVsHgRr5oExfrzp87DNoAGKfxxqVAtny1J6iq7Ag+6W16GNr8M6O7MWtV3YBIt3zpNaJjP6uBry8b90iiEFVNpBNvp9DEbXw/pgvXZL5nZssdkgq7RMuCw2oPo/WKVOud2pyjeu04AazdIcocqGGwWxu+PsKKVkPkwmbpwmeyPoRm47yPXVh3awvdpvB5SHcoVKHzjPr5CTIOkOPhqvZcckY+hqbS6BQpL0FZ39oh1Oj+aJ5enI2SV/pedsGzfKedHp8UajRO0pStrnDHfKAau2WorS6WjoY2h0ovESr9mYdLQJyt3u6Zz8MPSWaVDYX3Fi3GVNBTQTwU1CLY1oBtDYAmtmUxewGgq5A7YOYHsFpmsSrpVUmQLqX1Ldcpsj65VHhZggogW2GmN9dWo6vHkeu+0ZhBWjm6Y4Bx6C2eikJDaCrishXIksnciSNqCsh3ie2+KtdemTodudq5VyegHCrXerKM6ibQDUhnCwKsXrNfi7Z13ui80jsVxEUb0BZMOLJc3LnhuTm80J7HrV9Tz+TKbj3QNjVmgNV2NTDFgwxTrJYYoOMAiRHYMvRygXqPQAB1TJjfR8xfMNh2am7Y7NyaxBxPNAEod4ijnflxAcZHmFqp7GixrJvLRzKki62baBTBsHn2zsCiKNgerP7YFZUvodFJ67HCj/Iy7USWkmK7lxZIhKJ2XscmnqPRRMAKn7EOSiriUWnPv7f2TYu2chYCmoLtIcE7RWgUpEvF4fuNWcF77r2DAPGSafttSTSgT0iBj3NFeFkgW2r2zm0HW7zxocbnBTomLF8eUYeA48+fIL/9HvLuAbgbUceE9f0EiCDOBWGr9r0sjUmzosZ+vWpBX41AfgsgWMD5uDunIlCiGpN6VyYilq27o1FijSDvr+o+oWNCgBHWxokZuO2OtnN8wlUpQVy43juAxHpfDD3Q0GTUcTjNVq5ssAebYVPAk0pTQrhkpI/PkDx3m/j4gvlffIWXP48oAzOxzkqEsA1NOivmLwVPf9lL6agJw/WsVSCRPpcLCh6+7Zn9OsT2TMMGHH9r7drsLJjfC85/xs+bPnLetntSx/PbitOXZ+QcsT6PwBYsQJYeMJqdkgK8+euK6WPB808Szn/mxmd3xgxd/C2/K3j+qkJeIoaXgAOA81emED1YplFpi1zELc2drhwyMH3PfZEPZF2ubwXLe7Y3On6rCAruhXjA+Dnji/+vYH0T8fJjsyuzIp43shhMlHd7M1l3AmsXNkij1rPsRRBnPgO2rPJzTBBFkZ4JaEwfFdNTwfMYmd1VYPouACFgVqM6g+6RnBOmbyJQed/5HvRVYmQm+T3t1vEbtaBUMDxGbG8Uy1eFvkYWoFBLI529HAXQBYizBdTmWx5/o7j7DVlNvQY5mnqzYH4fKSb1xGdIv1SxvhesXxQMnwKmj7wnL7MYPwPpRXH4VHH3ywvKesF/y/iDg1yJ1j/twBts9X6jGUtHTgQt++Wy1i37CvwgM+uZXEfMiMooxY+MEuSOBp0xbtAy0Z92pzFkOueoAnWnWGj8JVPqutEoLHgLRZHFNzAaLa8hGkmhg6m41tAdXgt+eC39D+tXDDFsBt7RpX1uAM1xkVLR2jM1dF6vXnf1x+p0Uar1E0VXUS1EPVErdN0gKTJY9vrc3TwDaIhrjV6PLNcZmx0CySJ9pTCPU8dWKzwfQZ2J3bMV26ykP/WifKre7j5f7EDaOVii3eFpaJQ5yXT0XSymb7g0V3u+gU21Wy3Mria5VvQ6N6VzGQR7QR6A11oOuHb+HWFqSJ9l+80ZRt2ho80htIDNHt0PJ1fay2QXRPCHXDNimd+W/S3CxvMAvA2IFB4WTgEiiGJIvKP9ns1tAQQodDLU5qCq9GnZ1zR6XVKrZd8dwL0VljYQhYri+0DsFaq5n38RgjBexxUDmqDa6/e0ubveR+3/URgY6/V1OsDjdV2uVOx1R8EmXoPavO9qRWP//H3gsxdcAXzd2g8805iV6GflAeEIMa8Nbb3v68P4Pf2DW8Czc/D5IrT18oMsh89HztCNC1iGBOiuVlGt7YHZ0QbAudbCaHZYd/fp6zNw3e+Bu7ChMRoEtm6CWkmD/J5MjDuQ5vjtzd7ujGg0cvh39VKGfW3inq2w/+M1j5IqhjFT7TwFlJCY5V3lau/x2bxaf7he7+252M+bqmZAB7b89w5cOlDpQJBnZUToJb5a82o0TilKxAVoJSqimRTnFPs1WRsLgHu/en25oNctWi96Zg6VQUpUAmdAW09Xwf3rObCp6hknsKXPJj/4ZQO6d1munrm4zih1ES9poPk+W7pn7vQLkgYWeC3zfiE5vTWfCIS3jg2+rj0IcXsuaBRjKqQKsLj4jJ1d0q+LARzZCWI6HO5+OG2VdlmasJprInD/M/jcMw943fb7Kg28ETsrod2PYcDUS3baGnZF7aQQq5Vtz6uiZ3vd4XYGhGWl4oWbqqbE83sMkC1crXtYVrjt7WogTgitZKJfTwCSncVbpr6LZdgBQOcZYTv2Z3bo33W1TpTXFyB0L18xcJyx4UyZNjdmT/YAdFvLwYAtO6vFcgzN3u9qISEdeNFk2zaL6SGgZUOdtaJRUNozlW630ecfMF8D2nyk/SJ3UAkANAZe57wCO3Vl5IIyCcEQA1j8+TNZwXVWE1DeZeodfGZddZyFSdbKSdwzdeKsiDAwyM4qBzfHZwtyrc5+eUit5ZV/TisNGCrbLgXFKlZzUy1LaLYGdt5KZTnQ4ZsL1rf3mM2uiLodc90du/eh4vBmwRxG5MPEXvUn0pmdjcQksMJjgCbEaT4czxMTSh0F2x2wvbWk0re+52hfh5eM+LIBcsBLawXZWQxq50EdQg9sQ1+r7pP5WgK0tSb0LEcwuwCwe0Kcte17r0Un2BZQx9rmQjaLdRRYjtwP+SBII0HrctJWpxtXbcmQq1LTIk30Ls3YJVq6P+wMmOGimL45ozFRU0BNRwBMHHqrIgeOelsui61S6GdN4BqQygxxulTEzxfocsZ/y/gfkMkNbM77xjJod3JFBQgbAKtzq9bCpyOw0jJcMuDqodeBxjgUIH6ihXDnM66OnNs1WOAE2ILYUWWZMRFoAVXuFA0lSueO0u8zcz75YVOEO+/j2j062QTqjeAnNcaftIC9RrAGZWD9pYuRsLl9uKYPmnFumV5D8FXC9SFRuUHE2qiEx45itHZCrmg77nmz2v7WIQFv7+kknabmALhwhJQKSGiAA4VTBHlgplIDVa4RurMbMhDPlrFMaMwTpykQFTSAw8RfCARURAWkUvQDll3lM2Pdo29+qaBSc/HaLcvCmmNSTCQEGhoS74Y0H825M2MVN/2BEA9r3wowL9DzGThMzADoLgiLEfkYsN2xds+L6n0Q9dcWMLYhiiYwBWAvEqIBqFPPTAFAWDj5TUVx53ypr1PhPoBaAb8hvVmHflgqaLQqMzHpBW3euoPonq5lcmwZc70InY9YoZeEeGZtkQNWNKg8zOJSgUBWBRWRq82/oE490+b13zwo+/y/pq0RpKl0eqzWUDbjSb+mfwJt3RNlss9yp8uD5F2WV7bCODpX1l1rd1ScalQn7bXeRgHyViVpNuq82SEGVeb45J3T7c/bBI/UMpLpAlTPkCS0dqPMePHfcemGn9fRWwgBnnniutrT0OPW9xfBptrrcX0+pgnhdIKkZIyFfdpXzY4DYUDrZ+109WpZbcnomaZJrw6jVveaWN/dxKkCmgq4FGPcKLC8M+2C2bJ/HuyIH6JEzlFpd8ukLYjYB1vDk2D63py/2q9jV0p6lfkLmbTCukZsyShlVYBMcKj1QjXQRby0w6lqtk38OTeHzDK1ZNXswEmz8XJZuGYdZAxCG25r0lsIwZB2PYxANRaDalvT4j3TbW95n0w9TtAoCKvR881xkqIsBbmjVgYzRn0OZRXIGuGZ1/TS7VA0lXy3rc6aaSC1OeHeVQHw2k7Omz9/D5gczImLtvKjfJAGWqLgKvhqwKQF3VfnP/w8sH7sAWCP8NrXdnhtmE2A6c7UVe0M2bcRbEDhFc9OOv0OVqNpNbt7mrf3uQ2ABfkEj4LZmE7d3d+f/3HND15TsqNedlRDgPaH9b5ozjZtMs9GrxHd70moNKqnbDvqotuRAgPrtQF3aS4toFvfTfSP1spKKOk2PhrTRLwMyGx9mDPXvAikTEblFGiwdnxqLW62BARg+ma2a1LIV19ADyNtWKmYPECcAsrRWFW5Mjh2sNJZOaA9rUBjPDF7yvVYR6vrXjnPrbtD7uuL2hsd5KcOxR6cFQwvtO/5RJvOdjX8zHzisxyfFMkAkeVN6PZSOwsIKo0p0dgMqfujcatNwMjZI4AiLsX2uqC+e0AtI/ArXt3n//2nuPyUqsGe8XcfC8IepvlOEDfg/j+NVJ9/UFNeViAo0nNg9hCWATafWhQ4/1hR/myBPiccfpsghfokUgOOv1UcP1YcPldM/x+y6y5fkeW5vlOU+wK5RDz9hw9c57YO03MPvNe39KvIPABefhRRhzs8/zjg8ucV6UVw+jVtyvZWUCsVtMmoiEAZcVRgfcdaz8P3ig+/YYC33XOdbPfck66oz24xZChevvZOF97XVpp44msmqvs/60Nsn/n0swHzF4ntgZzZudMT0GjVSoPHTwzuTt8WaCBra7uX5p8wG05Rw7jWdr55XDM88RyYv7L1+pSQnrnPXUzLu84Mz8D0yPXk69TvyW3R+ATI39IR0sDfjZ/YX5maBAQKz39WoRE4/iZgeGL2fvvf3iBkxfDCSaLoGZkCh4+sUc4WJ/r9jZ8EUgeMn2wOBJDCbhLHbyumjxl1CHj6Xz8g5xPwX/APjj88yA0B+cgeTOVwXcvhGSaR7ujwPWj1Kyi4rrsNjObrSIM0PAYMz2hGwSlTXmt5NYQGtteHoGe6KgDbmFTms+J7R5T3NShBrMekQjRgeWt0TTcuCagbA4N87PC8BwAa6DxpAKLTdkBBnnyk0I0f2sEWvrxCmXlohZ61g91XjJCaIWceBHqcKCBjmVqE0B36vWIn0ER3NATUQwIEiGcFMgMIqV05rm2Gja1By8RLSGejhnxRUU8V8iliONPZLQftwlVmhFt231DhuPJew6otW8MDaB8gK3uJWpYhbCZO4xlIkRaw+cEGgIiirxPLqmWTvfc+gHGh4y/VETar+9kydF2hC8VdZBzRPDgAEtgnrpwU1Q6Lq3qaHUDjNZOOu2roH+Uof6NRjpXqgpZBKTGSemyOSPBLsO9qwE2xw9tpe7X3UHR6ndfaxJmtJq6yZu3atWWcXg9J7PeXZzXQR1pcLNn6sC6KsLHdD46pOf8e2BEJRwsQnLrLLJSh+v7dqi0z5ZlY2eh1as509FPs6x3CoNczNe3CpYtSWYCyVx33HrzBlGl9vQPXTmqrYSpeX3TdjiBse8DFncJdRAVQlKuCtPDdHnDhpeJZPqt9dgc6rh4ww1quMfhsz60QSb9yUiv7WYoBa6TCWmuOpgosFFc7HnbztKN5V22iEcHaZjQwxoI4gE6jOyJ1snUeHQHpc1kO2sR7EEj91qGyj55lateBD+D4jZrK7K7lgh26pALyuYTVqOQnXJEt0hk4fVNJTzy+qi/z4fvIbL4rojYRC6P7uwL0jljRnqvuQStfcg5kxOvfMWjdAQwe5K4baccHy14kW9OW1aWoVeDf08ByinkhANR6duoVQCFBmn2XSuAuDLGtaT9zagwMbgcgn4j2h1Uakk+2DJF/ghkdvNHAfROWXd0xGFTusxOiju47Qi82j3rV6zFa/VdNZMoEyyQ0O+n3tnO8SHFHY5D4Xg6btS5zm7KrBSTl+7qcgQw0rslibVqcbuyBKKwUqQWAFgj7a66zrwYGeaZsYNY87Eu2dsHNnpXjtrrRrs13CQrA7G5ceiau2rnovTq98wPPygqAfY6rAZhN4LCte2n383odt2Bb+f90LghzQX4YsLyNDHwvtT2jMgYGvcvOdtvaFwWwrNDzBZIi13ZgMOBgPg/KSFu5FaRvn3geP5xQPtwzWLY+sOGyASKoX5+Qp4C4VMRFUa22ds/UAHagRQKQTFgtGmV/qhBf97VnrUVZsqYBpBID8MM8zd56j6AChUUZOJcxAKOdjRVtnYsC8pnPar1nIojzxPmNltlP1lu+jBQ12mf54sZgoYl6GYAGpX2XNUOHiPJmQsn9oX78v0XoB/rTIfv6FjhTcnvDezn+neDNfy2Y3wZ8fiAAgLcb0lhQ8hHjZzG6fF8zokD5esX//i//Bv/x26/xdH4HqKA8FCAoQhkwvggO32cc/vp75C8f8PKTOwa4DwXhbkP45QFv/opn7fqG95wuBHDWd8B2X7lvJvbZXT5E1BQwf62Qr2ds3xwQZ5tLK2lLF8HwRGrr8XvFdhR8/NdAuau4+1XA23//hPx2wvzlwP6/405xuigQrGzAyrhkA06/EYSLCRFu9FnhySqPbwys3E7CMqcAnMHWOOMntm9K5i81tlLsmi5UPQ9Ic8XxNyukVKz3J7bosyWTLorDp8JkjvmR3Lfc+8ML16LXK6cXwfG3ZCAu73hvLvyYzorxsUBDbKUUtK9mkxQYnhSH7+ln5xN978OniuGlYrVyxnwAxp+9YBwy5sd3GD8J1reC9UERZwILbuM1kII9fcx81odIP/3AEqzxM5//+Kg4fLdaSeJgAfSK4fszzn/xBo9/wZai/y3jf0gm11HCoKw72dPVgE6huaIoNYehPyhmn2hovO6rq1/yJSxGdwoQduiDAqbkpUEBE0iJCdClZwW8fs0NiwfOcUUzHv0AQjtQK9AQUclAWgVFSY0NWSxraYf2DokOGVRYFSv8t4xAXGozcqwLsEyqAq4+26T0wffBrgGRaP0PBEcAowbZQb/L8Db6c1GIFtbwGRXa6W979cNGQQ19zngdaE4RQNTJ6Yjx0pHhGncHdrUapNJrNXjQeI/Z3Xpw+7+jpTVDErrTXXboqitU+vc6tRLYZbZMvbNltmyeUZVZkygI40jl2ZTMIb0O/OjQK5mERhcWA04aRS31umM/UBodb5/psn/zeTJjKoGtCurQHZ+9yjKAJpCAqmTw2jrf7zfP7DqtO51tve9ofS04KnTCXEqfYkKRmcwsyEOl5PziDqjtl62r/rZskX02fP7VEGqgsQV8sE7U3uMZF8/Seu/n9mK/bk/PMQBuQawpznYBNnt/kN3+Cfy5/04syPISAu3rplMCbZ277SigmrjbEbM/rL+vRtnS62wz0A7BTjnzBWX73ylIO5vz2vnUIL3HceGcSLUY3g5MtyuePfRet1elDv79TgsvBVe150Oi8z9xQYeWzUajG4vPlx+w2abUW6fYPe8FNOqorPX0NmORbQ0kk/p01atc0HqaOi3TEcRQCDCyvr7vc4BgDmw+0tydABVpYmoOtgVYwAABXgLq2rsDhJX23JXOG3PI+3l6z9gh9EDawb3Wa9eetQnl8Lq4RvUwdiDytRCJBa2SIzSwjKIFyrt129oZtXKTXVSYAtWQh0jmkK1X73jA2kRBFW3AmFOW2Veetq2xBIpnsPo683Xe6OyJz4frVIyNYMBpDNZf2/aM2x9z7pqAUoRJFEg7h1tQVlj/5nvVW9DRl6g9YKvgvOztjQiQEiTs1jnsngfa62h7qgleeVC9f4uv5Z3X1IFtziuZCs584A24AEv7Y/PZADHt3xeyoFod9PBoc+Sif2p7Snf7xdgGEG1rMR+lOe4ulOk2zB3ceKFT63XnjXWl6Lal1ZlzHdXITDHXvjPrbC2Y/YTu1oZ9FmKE3J2g00iwUY1JVbUrjPtrATLOgkBbqQrB/UbNFX5vOlPhOcwFDpyGIJ3hdXCdCQcjtD/bAmC12k+34wZcMnD354HmDzW/SM2mGDjrzCy3d7zIvtYbOOYsBrebMLt+IJsgzWpgnhrttAN1afbWM/3zm/DWDlQIyn7cPtIFqIu04CZd3B7z99P3DHzjoljvAltYHStpvzlgq4JoAbv3YeX+NdpxFvzm/IDzPMJbH4ZPZIOkZ95LTYLtR2+wPQyIM6w/ekQ5BwxPxvSIXtveqa++TjUCUqgvMjwqDp8U80vAvMbmS9L3oh1a31Tkg2A4SANG6WMze3v56R2py6Y30+ILt3U7ZXjaQ9OGuOfPhic7r21vLokPaXqqGB8L4hba/By+Y3DrJTQAa3hZ792D6+GF9+1gWz5GhByQZsX0aUevrsD8nvPr911Gacrgfj8s9YsNeKtWaqHVbEUk2HL5IqEOaBoWaa6Im6JMbmzNZontmUigZjvF1okmZOD88YA5KB4+Cg4fK2aEJl7pZ64UJg7TUpGeV9Qj9Zw0AGmpwAxIDcg2d9td6mdEECqJHxKq6SWU3dn/940/OMjVGM05ZNDp9BmvUdnuzMGBOf2l9+v0XnCtpmG1TRjZlLhGFqZjqHaAUUwnnSOkCNJKZIQXAggUyboEbEdf3K+dSqbavV1QTYKYlRmQ2ic07ByasAowoAk5pGei3PXiATcRj7i6MfIDmIdmHQQ6hu5gbYrhObd6QB5abI4uxaiFubAFAgA9HUygwW51TFBvIfS89OwXwMBtXoCUoG/uoEO0NhRspdLqCDer5Rqi9TlOKMfUDwtb4zXyQBmeexslDSZGcnFquiIugvERDYX2dg4aiHwyw1SRLsy6LV9MWN7QsWxq2QYCuMPTg2TtFHCj70i1zb0oxk8EBba7Psc1UoXbM7jppTSkWKyJtFMPy90IFWCY7yC5EPV3waLdKJNAT8XqX0zUaUE/JIvRjA7alAH32d7izmTw+1VgqAhjQQiKECs2FegamJTP0ujZLfPvh64FUtsxNPXv6DVUBjp48+1o+4Tz2WuSaSiN4pWAdA6tRUQ5uKMUkWbBYDUacbF9fqGT4YJTXbyMcy9B6IAs144lPKNjYA2KtUnZB6n7bK3X0pqqsho9Ew5EAPydSM/oej1v2zBKFsMQbX0F1BSsfKDXEWuww8yALwatcuWotAyfZQHjppTEf/aUwfXttvqbQVpbnPZZDcRQYMUVMnsV8ILXtt3RVlCoR9p6CKtieMkMsHKFqKJOEWUIkCANLGNtqIEEpbSyDmgX5NFp5B4/FRRh+4SmkGtOtgOGjW437wGJfr3tTwT0LiNMBZoZ9OnI/n1xAaZPgnS2NVrUeTH2QTxhizmhjrarAzx7ANTmMBRFeq49gABQJ7YBKRPtuxY6kX4mtcDLnsnwolZfVu1s8BIH8G9/tmPPiElRUjvNwdfUia6SK2QmWlrvD6QTP68IL5e+Zi2T62s67NtqtbZFHaRBDG1fiNH6a2BJjMbQgnApCglAuQ/WHqyfxQ7A5IcKHSrCmrpomM1f3Dqt2Bk4ZChos6WaBrYdS17/ZwImCmMGkKYWLmgBnQbS3Txwc5tEAbhOFx/O2mnsRpv2MzZeCsKSG0gLVbPxGVeg1xiust68ZmaIAgK07CIP9AByX0OZD6BQ0YFsGWeqtc+zloQ6KjRVIHFft8yp2fG46RUwC7Ga3QiEBUgqmD4Cd78uqEkolOM6J7EHpAxODWhYLHhJwgzLSa5KaCCgnomdS9NH7QmCSqZTuuzAMA/oAGuzJBjOFdPHDWUIWD4MUAGmzwVxKQYkhX7Gln5/ehj4x0QHpSriE9kMOo3QyeyyBQt6pG+jZqs0BtQpwdWvASDOGem5QraKsGyopxHRHOa48NnlE8suvB1ep1YZeLn2Xs7eaibNsDILAl3TmVmzeCFLIB9i21cEhKXZO/dN9hT0YOsVsDpEF0UFWllYsbZEx29sPlcg7W0qwHZNS1+/e1ZU02zZCmTdEEpvlXX4qFiPAIRifNMnMoIuP+JFvflbxd0vLnj56RFPPw1Y3wJ4tyImRfk8UAV980AcyG8KM8EINocBv/zuLbbHCYeZLQanT/Svp8eCdK7Ip4CXHx2hwdrWPKLVv7KEzKi69xSOSpfA0pUZOGxWs37g/rn/dcbhtwsuX9zh8ucRceO5Sj+0Qg8F8UPG4bji+ds7iPPWqyLMgvlLYLtP3DszdkBQBzOYSTSxOCsV2B5InR6egNPfmS0KBA63N/yc+NeCu1+sGO4jJLO86/1/WjD94jPK+xO2+wHbm4Tzl/QJtnt+xvRJMX6nyJOgWInBuiTEhe2iDt9tyKeI7Z5Z4uefSGNnkO1KgSzGW5bcuwBhYzDsPjssWHVAc/nAjOvwCDz8shCsn20tnUJjV0oBwZMsqAJcvhLkB5YQeXB9/NsBUoG3f11w/LsZoRxZPx+NcVVJc04zMH7OSN88onzxgPzjCRDg8OsN8ZKR3ozY7iLqwAC8gQ+qFviPBsYAZdvZ0L9n/OGZXBPz2QsfhD0NRtEOrEb32VODY0fnnMLXHD1TnkVQuDS202yag7fRQej1OxZQF16broro6Kxdjxt31r+pUab24hZ6da1OIWQA4TUtFDkIka9Js9MQzfiYk6CW8hBPfTQn8NrhpSKk7HbbzsjlHqAS3aycCzduRpVDCFbrFdpn7p8T59RWumUBpCgUtR9unv3YZxuB5gTuBW7Ufg4PRs0hkF0gdlW34PftB407h1Uhwg2EYMh32b3PkXLdXZf4epOGKrf+sUCr2ZXcr1mFgXKjUzahJm0tTsQaq/9g7DL8DXDxNeTz4gZhp6Ip134VtWeq1XhnHhJVwWJ7FWj2zEsXehDLEDY6jfbP9dpM/p+GrtraiGunxroA0v5vv6egHuRZ1ttafkgRUrNXd4q1OX98znq1zlgqgL4fBdfZVD+QAbR2WHuasY9qF7XPxATzCNq+2f0+CD8vhB7o7jNkQRhMh8C62JZ9u/7aPSVRds7KHqi4ysi03+kPgttGt/Y5d5soaNTNParf3mbv8ZKO9nsHnCrae9v3V3d4zEmtSsZGBEEvo4r/zvn2ed1dt/yeeWlreWdLf1Aysp/D/TxV4X5rf/r1X2WuG6Ku7bsBqzdVtYyiUYN3Z4WKrfWi19/vlMkQEIM2J7gWQUJHuBsN1kAHOsrdnsvOrvv3tVve2chm18NuvjzTYtlFrRWNZ723y/5a/2OCga21yu/aK6/LXHw0++1784dvvRpZIAhXdmxv0x309eFUyfbc9jRXD/Ij2BbK2BE1Cqpl8n2+2lzavhAF+9ACTajyinbe1lfPrEtVIFcEEezbwrWaXAcFXs/b67UHXGWwr7K5alnvSnCe62XnV/h/C6B59327tigOau1tRav1zNxM0dZj2CwjanZYjIIY7Hdex+m10rjaxt7judNwgVd+T8vO6xXYtgdQ1W15A6wENYUWjPZ7sDW2s9fejoRXg74HXgdmpQAbmKlNYAY3mfEzUBavnn9bB257d4Hm/nXNPhahAJrbC0Hzz1oJimGU7TN2QLDfhO7Xka1XB0j5Xs9Yuc3r11ATgOjMhf6Z++t1kMLB6GZfxZ/NbqH63Pr9BwO0QriaCAJSdn4rOjXXbLCKQgcyLZhJVegWCCrOoSmJix/t2v11DUBYA7bnEbIGUuKrtKBdn20/yy6bunZ7u/fpAK5LF7v0kqiwKkKSZpsJsnm5GfeftwCTAmALKGvEElITQyUwLA3sySdmuNNZ0XrEC9XQ1zdU/fVEnPua2l8GZ4A2UUPxP90P8j0GwNiu0qjJ/ty9f+yV6N3vGq/PWF8vr/yHJtQY+2v8WRGctWfnomMG1PNZ+D7v/ncvhdO2p9mRguemNX+5voaItn+9nCm7LoCt/zJF1LsjyiFdMbFQe7Krxm7/3UZpAvKRPeCph/K7JuaH439ITW6cgfRMmuXywTM9nQaSLkRAxkciD/nIBeGquD5JdRSsD7wZGnqb1Bwgl4Dpu8gGy4+WAXgsGJ4K6hi4sXYHWTRJ/PHJ6rwGwfIQjA7Ba4xWo0nRE0ekpRt3AQZrdl8jURIP4qUAWBSDUTJO32TESyHKl3YHmwLBP9uuj02+B9IDzkT+6xRRp4iwFoQ1ACUheKbr5QLdNshhAqaxObPN6VAFQgSGZPW/vH5465edSq07TE4bwsoAN4iwfiuRKlEHCgVcZUsULdO+3VsGd6YQT/CAaiPy7gIKTjurSYAhIt/F9nyO32wWpIZWz6eBWfK4aCvGJ1WBn1e9nUhbM8yoNOEXUN1vfCoWcFrWZQzQKdjhb4i/UcLjy9Kp4acjHSOjMvvQUom+LwHxHDC8ELUcn+jwqfWYc0DEDd0+mG+9aEdmOzQAwyPRqnyvyEc10QtrTeXI/8KMdDM46A5tyIrB1lRt605tjmt7Dt1x29HjXznIcWYmxg9Dd272GYO0VBNtMwQ/SBNTC4Y05wPp301orVIcA0WbgEhYM1ta+VoMwrXp1OPND2+eCiLjzvkv9hrjycZAWqgDXjmzzhxg/anviVyAaYCmkddblHV72m3G9NnEKO5eOSxu7lxwyhxMpyD5HHQH0fbbVpFWAIG1OTUJ8j2aemZznvaJZwgPBvSDwZUrUbQ9G9LwK5wqKAADSaHoUFwKZNkQzjOug6fCVkoigIQrp1suM7UKFiL1IQNhEYyfOxDYAm07sB0s9yCnH75s58NWKRG6djG9sPJ3cZVGwyyjAAiN+bEP4KIzAGwd89mE5tx4nX9cKMZRB05o3JjtkRIbDS0t4aouPh9C6w7gAM70qRg9kPaLfRBZ8lGn2B3cjJ6pH23/FO6PsJYWhMlWgWW1tc+6QgwJ9f4AWTLk+QyUAlfEF1+zbov8uYGOrNo+cVVmHRIQWYsblowSBuhh55SrOcqmSO1OmpcSjZ9CB7CMCpsubs8rwuLlDIKwVcSZmVJvH+JZq+FSoYEZu+0kVm/V2/ptNj/OCAmBdOG6a9tB0R7tpRiZma1GFa9AB5O5psNagXkzVsTGzPa6QXNm+clwLbDGc5aOvPdNlSyNvtv2gwF7rAs3UUMl1XEPBmuiczh+5meVQ29JVgcgQJE+SmtRuA8cocD0mfa4jMwOOS0Y2sHSNBsIuZJWyPXM/V+mQGDFgJl8jIhL7HYG9ryj7AJbxfS5NloyO0FUhAvrO9e3AwW5xIRrJkH+emiga6g9MPNSIAAoBxqvkHmGyrzxT9MKQQMhZV4hF4UeJ+TDCbBAWhSILyvksgI6QIYAFH6ma0jUIUCiQFJAOST6ik4hNjAgnZ1WTRu7PgB1ouYHWU5k4Yly3utAn3F46d9TgrTgc5+kKEb53QfIjYFmc+y2dXtDxXpnAl0zrjxZA8zvIoaL4vDdBtbnGp270vY3UGc36hihh2Q+x4Ba+mEihWtrOAPLe8HzPyPoPX6iXb58FTB/OGB5J1jfch6mX45mwzqF1mm1NTKyce2P6duA+MsR24Ni+boAQTEDDFb/XcL0uVwFQXGn0wLQNjhD6e7n+3UKTM+sP1XxRAbtex06c6xMiuULXtvwHDA8BgAJohOOT8Ddr2tjk9QkePoLwfpVQfhtxPhIH3N9Q9bD0z8HHv8lMH4WTN/xntd3DPzDSgaEgwWsT5ZGr44r90Q5kA05feK9zB8SyuFtW5t1oP0bFsYMYVPMHxLWBz9PmAVPl4qwVJRjxPoQG71aI1kYGpmF9XLOfNd1KjR0oNpV3cPGGAyw10bLID/yzJrfs0xlfOJeTktlfa+VWOXEefI2k3sQVCNruyHA008ittMBUhTHbyu2E0GPajXXZGAmXL58R9DTatjLFCFVsb6JmN9fr1/aZNLpy3t+xv3PFeWP1icXFizOhqocCMO0Ws7SD8zxuTb1RRUruN9t2KyA3AuTIBuoBBnpBMZLsODH/phamYsd1BQpBe6TYwd5nCuGl4wycaHUaKhlZWo+nQudU6dd1QBH6WoSyAYkrUYzCex51xaQUYZWRXrJCPMGHAdUxOZAiYJiGJVOWSg71MTqFjsSK1bfSEqmJjYxQSnAQgoyRkOoTZBnT18jHdH+vadr/s76xj2yqlBvW+RZzN1b3Kl1dJs1EmgIcKtxNgcxLlR2daXR/WiHUC6IlwwZo827NNo7VjeCQnTQ3yti2XHzd8UPWVwFk6RdeF0zryMP5piaQIXT6ZsQkdH9NPqcXzvZqMVEh4huBl+HFzWassL78O4bv++vy595yQbeeBCldjPV51RaINXqX9fuiCDs29140CqQ0ZFEm4ettvrBPon8y9ck9k51tRrJkQfgnh3R90w1h6YYYBLgwmm+h0IKKEbDvxJHUDRggb1ua1+bHtBW4Eqox1VbXJY0e1renP4QfkhNLoX7wxQ8WwANAIXtEdhCTEnn9RZUG51rVEGw2paWiYTPKXaCU3x+2P2+Ieyh7y/JFWELCDn2fWWBATPQnqnstyHNCQZaE/R99tM/2+sj999tWaymGl7K1XpWR/8l9Hn1kQvBqkWMxic7uirQVG13Dn7xGnBf59GDJ0XdKH4TF0EtbkQ413Fxho82O9hQ53XHLvHp3dkSDQx8KbZjz8/Eb9QcClGCDGHzbF4/9PeDlxTaOo+btiDVwU4GiNXmK3Z76FlLEQg8a6b9c/01lX24UaxdGcBgcBpYK1oKdM8+UEWrUzd2QguA94CFGlA8WEC7y3C2+6u8ptbD2Gy3Vr8HUveSl1dYwBrWbnviWtkD2EAGmMKsWE/dts7XgJSsF+u0yyL6sWNYRaPKBiCoMphq16stA7Sno/fsmAEPnrU1m7Fvx9TsQDYgzIW92jP3DJetE9vPPMd6uz+vRZaqdnYDeRFE6c44FM12RStfgXJOPDPBVi1qYpd9vfv9Onjo5VwNUBL+W6sFkgUUeZptvpfSs2VJePYuBVBgeJGr7D6zePuMO0yevvNaAAAf40lEQVSMsVPrxEAhjqExKDwjvBdb8sxvW5PO5HEmWXCghue9AhAXi2mMHjsLxqH5TIjSGxvUavXV3a6hAi4s2NgKO+HEVlu/ddA5Ltro8aTJdl8yXXz+KLAjph3iPqDfi5eauc8Eo7O5PemZY7OFdRfQBtrEuDtPtF0nfWHPjpLVyPuWIRhjTju7wPVS/JZj4JwB1PTYIaZsU9YzluVYgTk0v62OQD2IlQ7yZ8Oz7QUrlQKkKYhT+Ex6JnejqGUdBBgqZKgIUVGLoA7pev/79dsctZ8L98BgLW7WBwBWf+qK3b6Ovcbfs/GAgcAChJeuGUKwTDE+cy/E0YGK2FT5vWTAVczLsUKPFcX0R9i6i1oO0XQjujjT7lm5D9DuBfR/PRAOsSUY3OcLm2J4zIhzxvom7u6vzw/LJ71sTLr2jekOhVMHX9ra8RZhdTfnFfA2qwCaknycgfGlYjsFbA8BSEC9mH1Y6D9qtU4i6EmPxi40m1mtFpris4LtBIzPsD1EEHHvz+STGHBj3wXzGWJozEz6zeYrmI+jMaCO/brz+uog/z3jDw5yJWe8+48vuP/lgDIGNudGd1zcEYtbhay8o5Oh7C4x31L5UXD3a3ME/VD0ehJrdSPFAspcES5ECOOUMExMJ8hmDoEFNWEtkMuKIUUMn0Z4PzFUcwS9fmQ1fsKQmG73wDFSwENFcBDgKmCsamhlbZnA5PLyxag4AAPHAMRnZrjcEeFndIe+tfTxz/DvihEYxi4kpQpsG1SVmaoY2F7CHaktM3vrrYS2zPtLkYi/KrNoqi1AkHlBKjxVh8TM7+GbEXUMXRRLWPzNHoNWX2PPpIkzFMXwaYasGfU0ok7WHmAhmOCOalgzkAt0SEhTF5VoNKVaoWMiSpkEZYpmmCy74uvb0XCAB36mkyNFqUi6rIAI0mEAWvZj5yTac0QIfO0+O7g7LPR8xpf/xyPuf3XierbrCJcMUR4u+/oBMUVIvx+/VgDQMSHfj/2aS0U9pnaPXhM+fFropNtc8Q126FqNtmTL9BhdXYXrVfwZ59LWsjvOnL9XBsIcboSA8RPrp3x/NYqwfwbAz7ZAsjk1Brik3bNswaV/nzug+8zU7jLUnSU1D9gzsiYapTl3SnJVfn9OEM/gFvPegwVx9nx125i1tVr3EALiZ+6daRrYqN0yyirg/915V6PHWkAc59zXl+/9zEDFs9NNWEj4vvg5YviOdcR1jFd2yL+3rUUfglZbGUpta639es3N3nntsngN887R123rz0/sBFQFtBBZ3NXkAsD7/zDj+N1IkGQztsPSg+R2DTuq4O4BQgfWPKuBSFRmDI0l0LKbRi32euJ2X7my7Uit3ENVabsaHYy26Io2qTvwJAakkUebnBfIlhGmETrZzwrtkE7kXE3f2UfYfIdcEZ5nftZgasUedIoQzPTSkQDUKSGfktUCb6TOzjtbIsLnMi+02f6zqohmt1sA66Dlfi2YHd+rKsuy0n6um4E4E5qyvgjSsiE+8tzxaxg/DahjbO1X+tyhgWge1DNby0y0q3OngVTVsGSEF1P3L7QZ8WW9CiI1RpT78YrV5EI6omjBWR1DE/DxteVno5816SUjXrarc7OdI8vWz25YAOk1/gBBstdrFEC4ZLz7qw3H76MJ/TB4cvXacmDdXJwr0tnPcQa+x2+5tvMpMmgKaI6Z15Uzc7N3BlnPGqzth/sW7qSmM7PQZYrQIZigkikJj93WtwDLzsimFH8ceu9kpV8SL7kFEIAFQGNsAbEoEM/56rnz/GQLt+n75QosL1NEPkWyhx5XC7IzJFfUMUGnCJkLwtMZUhX14djOIjXw/fXQgVl2PU3UBAGQXjYDniuQIqSSbcWbsDemwIxV7kKS42f6JGkukEytiDLF/nwEOP3WwAtrI3hVSuXu1sLPbCCEKv0XC7hFFfU44GhnuINxZbimcjcNEgDzlyPyMWB4qUgvxRhz9BnYoaA2HznMGeHpzOf6xT3KIZF54G0PizP5LOAH179sGbKskDK3azh+t2Ebj1hH6uWcfhVbYOosjbgoyoHMvbgBwxPP3PkLru8ysa1QvAjuf8618/zPKsp9xfDCZzY8A8e/GhEKcPwN21jVQfHyI9a/Tp+1JSRK7DX+6QKcvlHkY8DLn0V+l7EEAUFcWZs6feI9Lh8G5AMBn7u/jcZsACQrjt8Vfq+z6lbWUmtAy/SPj4D+KmH6iFYeSTamYPwUIRpb+75hUwwv2AFqwPhUMX3asN0n1CFaiym0341/9wT54g7hyyPqCMwfSCOfPlGAajhXatdURb5LyCf6fOkClAGt7r4mIj5lIiNGqteaK8ZHAsDjS0S2WvnhuUKtHp+iVqZZc2GdeT4A8wdpzyq97PSMbF+FoqZ/ULHdRzLy7CWhKN7/5wwoha+2e8H0qeL024ztPgJCIarxkc/08F3B8edPKA8TwnbogXpAAzrSrDh8z7W23UVsd1RaThfT8Tlb7LjQph0KUF6o7TC8ZMTt2m/5feMPz+RuGeGvf4XRDltH2GSwoMId7BTZC9Ad3/2BOCR48/rJBGjY1NoctHVjy4uHO372lq+cOEmJiLiLLqkCw8DP3DJ0WYEgSJ9Sv579qBV6ZoW5nI6dVuO1DtPAoNgci6uALGcgRuj9iYHRljtVap5pqO5OLcBC5Xt024AY2arG5k3jrrdfCFThtEBUPMD1+hNr+7MX3/G+ibptEDV6VjEHK2den19HztBa+boQON8XHiRitLnBxH10XqDzDBkHyOnUBINakGzXjiERSf/8BN02xDcPkLsjZN0gLxfOs6uHuqPnz64a0FAKv29dEYaEYHOkb+7pzD2d+TzVgruUIKcD5+TlTKra6QgcJjqBFz7XMI4/rLW1+dPTgfeRC1sdTCOQpj63AOq8IP67/xPHf09RJIl93gEgeJDiKpClQi+X5rzuh6SE8XTiJTw9QXNGjBEpRs7x8QitFfr0DN2yUREj5ywyMxkGOr66bUbfdSc5IpyO/N35Al1X9vyNkXO7rlYSpf05BD5DORwgMSAOA4O9j59RHh+BEBHGwV4z0SFaN+hqwmiqkBgh3pbGaIJaCnTLZBf49Q+Dfaf05+GsBKfQ7gJgD1Q1JSDUnpUsBepB8sAsge72DhWy5TpYrsqgwIeDI1fZYrQ9ygK8HmjIMEBzAbaVP/frtbWk64bycrb1Rvsn00QGhtYW1Eanpfpe8OcDdMqq28GUGOTkzH2hijBNv6duvKKayFyzvf5ZIUDGAT17i12WsFx9zPhXv8H4V2jXABHLtEjryS17sMIBGLdN08C5yaX1x2SrM+4xyRRvc3ExWTful2loP/OAXc8X2vhh4FzU2tfGfg3bvaoBPm1/zDMpq4cD124utGUSEB7uoENiOcjlQltyPPBzZgr6yeHA3uRtjnc0fw+0jjzIZSsIn56tHdnGNTTadZdCuwUHgzgXzADuQB3Z7Qu3ryF0+wrQVm8ZuizQy8z1Y+8TC/I5z7avEtdp+Bz7vPtrLnZeptifr4OBLt4UveWLXZ+DOc3m2fmxbrQL84wQA+L9Pb9nWSkYlyLLbYBGV/VnLssKfbnQxluJQWMpOWXb5zwIdBq5DpeVZ36MHViys1FVr0C4q7FlHH/+iMOvA+SyQp5eOkgQIwO0MUEupPtrDPxOwAKJivL2DuXN2Eo2ALSyDL/WsBWE55UB6bzyDPQ5djG8opB5IaBwGBkYznZmAtQU2d0XUuqZaQP6Qp74eZH3K1tB9Gfr+3NI/O4hoR6Hq+nQRLvQ2EJaEbcdYFYr4t0BYTsgbAXx45nrw87s8HCHMpwIyP72O1RVSPoaGg5Xvt5+SNXm+9VDQjlY39utsFUQ0NfiZe3/DwKtEUBoiQrUivTCZ5AeZ8DAbYhAxwHlLX2E+LwQOHM7NCTUO/4uzObf7fZAE357PnefC0AcBkQ77xwIGM0m6kihLdkK5OkMqCI+v0E5jUiPM+TzM5/BwxHeVgwAwtMF+vQCVIJXMg4Ix5GlfVvpJVUOcljfbDFWlM4L6vMLqnorDCB9XlG+0laOFGeYhgxLyk6/mpE+XygKNkTO/fMMHRLK8YtWapBPingWnH5LNubTXwLhbkMxACadWbo3vCje/R/fQB6f8fT//mf49JcJ0yfF8B37+M7vIkUu7fuH54z0acb6xQmf/zJifTDxtkmxzhHDk2AEGhV+vQtY3zLQOf1GrV8sP+v46wvCeUM9DRQqs+x3EwqLVoeb2ds4ZAXEBDpX62U8a6MGx5WBc9gqaeNRMH5aMXz3gvD+hPOXJ0C06WikcwG+/YQ0JoTMIJcBu1FuP5E9Ojxt0CBYPgy0G8LvUiG1F8H6ilexTgcm2jerCa2uCLkinRPqEDB8WhC/55o6vD2iThHnH02WUa0YngouXyU8/4xrYvrkwoqdQebdauJckeaC+UPE8s5rcxns3/3NM+S8IP3z95jfJxy/2TD9/CPGd3eY390jH1lq6Ncov/g1hvt73IWvGkDGsjoG8eNTweGXT9AUsPwvb7E8eF92xXBRTB+3BtCpCOJakcRKseYMlL7O/77xhwe52Xif7rQaPbCNHTJ9lWUArpwUV9LzWslGQayVfUSBfrD6AZi7c9boWS2YrKzRA+jc7JHEeaHjM0103qo5cZYx8ICAWQFlnzoPBlyl0RA1v0ZZVv5+hyLLgcYTpWd6WtDjTr9/TlXIdj1fcCdDhAcb0JRoJSV+lgcEaedwFzr92AylzfzeK8c0xl7zxYfQgAbvSerPSFIEDgdzyGrLaOy/T5x25PcXIq9z3a7Uc1vbGH/+OXfxBHfwYmiOv4Ml3i+1fb4E1mEG6Ui+hOtAya9j/31GC5QYCITE3fN0Zz7RGdBdQZOk1J1poFEL2/34fIkClkXCMHBeXjlZEgMkBj6/YeBziJH3DDB4bOvZwAAPDJ2O7vdngSRCsPVUrwI52QVPvu54mX3tail8by1QrT3wDQIZxr6ffa2JXbvXefsacoqwzaWIdN0O+0wqV6f+fPaZy6rMPO1/5s7/6xEEjQvlGd39d7X3K4M4DyR2Q+3glBHmvKNfl7/WP7dUqDsPMYJNanffI6x9vwqI/HO8RY/fl++9XaDer5+/cwChZaQjHS9fK24P2nWqAjV0p8nsS6MmB5v3GHdz8TuczxR3e+aHoBBLGrxllFgWyK5hb7tyaewPBAJtzV55kNzYCaEFz41t4KJLDrTVChhg1ebQ52BnhxDkap+2gNGAJ36/rZuN2WIPHESkXZMMAzCOFjjswEf7zCuRp1IRXpZ+rgUDJXdn2O8Cu3wwe2vXmdI1iJgLABMenNc2n0gRAm82a8FjsDOxBTW7QCZIf36759lKBPwszs5l7ue0jqEBxpJ369UDUNXrwH7/+XW3nzTszrNr0JaA0NjPdpvXHwRI7uA7UOL3D1xldNse888Lr5g5h4G94kNgkHngXOr+/Mi7QBwEf531472IvX61Gj0+LKVlV3kPtGkKm0O14DaS1aUpQISAmVZl5wQPfI111Z7nYepr0YIxPY19bW8ZopHUdaDtURynxjrgaxXhbIBL2u3ZIJA5MwgTaQCEjgMzpylYppfrRpP7EHyWzH4qQWYHTnZMAsSe6RTTDwFAW7EVBG+REwJ07GeEbNrXQSlAFTI9jC0ll4Xn/h39vNaert0XLJgAgn0u/UUGuuH50te+ahOY0hihh7ExRyQX4DJDHbRxQMn3uj8XW0MaAmAAvqwZsSiDb7dxW2E53nEgK86y6A4W+VqDsYhgwVQLdm39u+8sdt9SFuDFbv35gunjBmBowZsHLiEr8sOAaorRzlwYQ695DRuzkHEJGJ4V6VJRs+D0y4Tt6YDhyUrM3EWIgJ4moJIFND4ycOwlB4pQeB15IqtkmJjFI1VaMH2yOtIFcC2T5cMIqYrpqWA4W/A3itVp8140BegUsX44YHkXkeaK6TvLclcYBRmoE0vG8jG0vt5emhBXNR0SBp7jJ+q1lK+OpOK+HaDpAfkuNnVtz/Iu7xPC//ITbA9DazOWzjCRJAZ2QRRhIcMnXSJKCdjupWWnj99ybbK1lLFqrDwgGeX+8V8cGZzPHqhOSKOBlJFrZXguiIu0oPXwUfDwN6mV1NVBmtJ5nuy7VqBOglIDnEYf1q4F8PQ/PQD6wHWRFWUKyF+/QTnEptninQ/qFCFv30APk3UhCFjfhFZXzGx1guSHxow8+HM3Vtd2b3XmS7XPFauRjyiHiPy6FO/3jD84yNVtA8LYHKjmeADNudIYLJtY2gZvqDvMKR32xgfwnpYCc8WqEm2XwMzd616aPuznuvHAldMJes/MFpym+fkJ9ekJ4f174O7YnSrYIRcCs5nLSsfVgm6dxp6ttaBL3RnIFzQaYCnMxj3c8fueXnj4b8xuyWHaBcBmWI1qKYcJenfkxpnN0R0SMw5b7gjlNBo1a4Pm0tF8VV63GCKeIr/bA+HmqNn8bTSocpig42C0OqVjXswxHgdmOEphthQWwDfDnvs9wALCFA0t7Rnclom0+1bPhM8LA9t7y9SXAY2KfbB+wMvaM8HuyHp2cl4499MESebs+doad45eZZZb5wU4HiCno1FQe0Aj5ti+FiqRaQQis5DqdFnARINCp97GSFrhPtD2veDDA3iAzqlnHUWYsbvMHSgR6Zm+PVDjCFdhUCtDsuerZBAAXSnag6lg4MHOQdd1Ayy7izX0wNS+M9wdd8BHZUDt+8yfZSSg0QKzYaATs79/f/00EaDJlgXQHVVTK1rbJqfVVgXCdXDap3Q3p3u78fpn9jk+B/xdhS691YKMw1VG/OpZBeHevay8t9MRjR7dABrulTBNZhNKez7tKsWBA8syLmsHH3hDHSDJmVl4DAREgG5bPTvow+s5pUIKnTMHE1qtXBCCeoFZbc0AFawtuLehwwD15rhe71wMxKsKSA90GexprzEdUtsL4gFHC1jYHq2dB1uBnmfe25t77jcH8Kzkwu0cAODzI+rzC/dXSsAIsnte9UgWv26vcdq3mvIAzCn/ZjdkGLjva202Xx/uemaw2hxmu/7TwDl2UHZeaeODgWxpl1XccmMR9ElWMFIL3Y7tM6kiENh5kTMda6WtB4DwxQfo3ZH6DJ5hP1iW0ZguMo274GwXtNbKvenX4sHPXuBqxzJgqQwDrzAz27rPyHrQq/PMrLvbw98x1LNOKfaz1LNfMQBHC9rNdso207b9LsV7B1aBtnZ0XrjOD7YufE4dGNw1uC2nEZg4d0HQS2mSlSlsBaFkOo1pIAXd2j3p6cBgrSji84J6HCAT10M4m1hSA1ksYItgsAi0gLE5pVFb+F0PpEFGVWgZ6Ws4A+DtPeppRHieIZ+egCEhf7ijQOY3z5DLwnXgQJeBCfn9CWWKCIU9tOPzAvnukV94d+zsiSEivFxQ/u43QIyIX30JPYyob4/I9yPiUhDOG+fKzjkvf4KqiUQpWW0ivWVbFFO2Z6tCH1IiZNkojjdHpBfSq2sigC2ltlrGMOvVPseWuXfWDfryArm7A764R+9NHa/OhHKIXdgnCoJnQtcNeDnzHBpG+nu2D3WIyG+5JsNpZAb7WwXm2bKtK2356WAlDSv36GS1zEMEwkTA4vncnmO7/2UDBkV+d0A5MehPAOQ8A8+MUrn+BKgGbmzawBw9TEC0tS0COQz0U8oI/Na+5PtPGNMB6fGA9f0Bl68HE/OpgFIYKXvf0ZEZzgeg+eFxVRy/J8WaATbr1b/8d6zBvHyRmPGrgAizoNu7A9IQEZaK07ekfXupQtyAqorlDdvlLCsQF8vAX5gNfvj5hum7GfPXR5y/Zt/25z+PiCvw7j+dkb55wuUvP+Dpp8NOcdn6cR8HvPxZwvNPBIfvBMNjsfp7C75SaMK3XhfsddfBy3JAIdThXJF+/ZHz/dXPmEW+C5AvkvVetiDUtDnOXwc8/fRkOkQM+qZPVndalIJyAAFRAGkICFPE8nbEdi84fqN481+eUceIl58e2XIqgPW0i2J4Lpg/JHz/fwfqQXH3XwMO3ytbcdaBLTOfqZkyfb8gzBajiCB9mnH6m4p6HPD5f77H8qaXiFLxGAiJLSkBsJRhBoaLYvxcsD1EfPv/oEDj2//M9mblGPD89gCprJGFGnCQgHyMSB/eQCcLSI8Bly8D1je++NmSaX0YkWbFwy82pKcOUm5vR7z8KEEUOH6XgaVaT22WTWwnQdmuGWi/b/x3B7numOa627gSIfWV01YLVCKkZsInAFrPy1rpZFQmWxjkXmd5UTOgha+tBQiRheIS+bta+h/V9rfWDNTMQnPPyPnhXWeUsiLWFSgLD36rS9OiACKkLtC6QsScKAn8nUSgbLyfWux7dlmidk8RWt1xXoGy2WuLiQ2FjnSrQsvG31WBFqsBK+4oDjaHG5A3C1DdWd8YQFa797yi6gqBsDbDrldr7vMM2PUrUI22zMuGaIHW1a5F+cwkQkOC1MzfAVasn9rca632WmnIZxfkIXVMPBhoWUO75poBSZBqDmldOffmC7bnWnYBkYhliwu0Wg1KFUiIfM/rbJ6tOy0LtC6QGkDoSno2x+nkmqBFr9Z2lgLYvKruMtbYZQBrhajY3Ci07mohFbtnVto+0WrUa1PFhWbors8dAKsbStf35TTeMkM1Q7QySETfm9JUi4pdc4DspakBqG5QZbDJNgFic2BBJqq93+m7HsC/cmTVXwcTyQhQ3VB145woAI2QGiFauRfUg9x6fb1Xn2mBWLW5rsV+/sMsT7tvFrP2zwCarWnXrZX3XhVBo9W6lWs6PWzeVaB1hVY6eEGpoMh7ULS6v1p4IqlyvmD3XCz7RvSg18DpCtUVohGdHWHZfF2huiFogFTLZHomuQY+65Z1VmibF6vVR+pOoSrXuQaus1r4+kqqct7R23Ldrz2zM7VC6mJOozlViDwVS6Vd8jmWAJQMyTvWjV1jq61FoC0pM4AI1JE2qGyWLatmE6QFW1oW1LJCQjQwRCE6QDVwL7X9W22deID6O4ALs0cOMEo0Q2P2XCTQdtdOCaW9XAEEaLV7cOe+nSMCxOGV7Slm2xXwNeF7XQLPFwnwBppagtnQbLaZdkeLPTMAMc880yr3vILZOb7Pzq2q7Uhq89Paa2WoGDPIz1u3ff63DwnQkqAhItQFWmaIpB8E7VoWYzrQNogG2nOEdrY1/6BGqNJxR9nb0utnJHmGlo3ft2dz7M8RHzXzHNBA+xsiUF2FmvO9X9u5LGz1EwUhZ9RqDqGxGLwuVRGgiJBSEIrXIZugnelu1K1S30oVsi2QvOyuLRJcM5YNqn1HFdPhsWDOav9LKVAJ0JrZ77QWri8Ata6oqohlYbauCrYyGzC88NkXE5Fs53HEViJKjdZeq0LL2nqpagntGjVEaJmR8wzBwP2ZK3IdkEuFZgb+ssvy7xlB7st4gK1VoMV0RgoB/uJiMtU1VjZI3aBZUTar3bWPdLV6KRmhLtdBbssCb9CyQHJEzjMz5mWF+J6zS8tbNCHBjJALQtn4mWWDZmOIhAraZzHyT0Vu4je2HurC81loX6UU7g8NXB91hZaIWmLfX1Vt75jv5Ou3VKgk5DIgl2x+2oqg5sNpRS0LclG7ZgKFIc8MGgsAdG0AqRWi+dqe5wuwXaB0QRkYFCBsDD5zjshRuBUD7cimrA/PW0ERQVkKwmXHpMuCqiYSNCeUxQTpsgKb7a2yIeeKMsf2PLUCJQSaoE2QEwXA1DNydnzWy4pyOaMsQFkHZv1A81nWC2Q9oyxHlLVAVkVeC5XvrUY5Z7E/vBapirwllCAoa0ReAaxofVaLraW8FYQ1o4SIvAWEtSBvF2jOyNuMsvVwqQIoqyUErFtLCYISLSjdTKjOVJe9DjVvBXmb7fsCaogoa0VeA/JWUZYLKiLyZqre5rKUVZHXDXkbKFy6KfIWkbcuSKYmjsgM7Iyw04RAJqtSZURZE8rG/enHYxW6Y8WE58oaUCHIqyKuhd+VBaUo/14zipjAaAV0ZQyRY4BWIOeCjAW1RmxZUXKw6+0mO2ycKxRFXleEZW3ga94KcqaSe96owaRqQW4MyDmgZLNhfw9LyuzIP/CK3zN+8Ytf4Gc/+9l/z1tv4zZu4zZu4zZu4zZu4zZu4zZu4zb+u8bPf/5z/PSnP/29v//vDnJrrfiP//E/4l//63+Nn//853jz5s0//Kb/i4zHx0f87Gc/u133H3H8KV67quLz5894enrCv/k3/+ZP6tqBP805B/50rxv407z22zr/xxl/qtcN/Gle+22d/+OMP9XrBv40r/22zv9xxp/qdQN/mteuqnh6esKPf/xjhN9TIgP8AXTlEAJ+8pOfAADevHnzJzMx+3G77j/++FO79rdv3+LxkfVLf2rX7uN23X/88ad27bd1/o83/lSvG/jTu/bbOv/HG3+q1w386V37bZ3/440/1esG/vSu/e3bt//ga35/+Hsbt3Ebt3Ebt3Ebt3Ebt3Ebt3Ebt/EnNm5B7m3cxm3cxm3cxm3cxm3cxm3cxm38kxl/UJA7TRP+7b/9t5im6X/U9fxRxu26//jjdu1//HG77j/+uF37H3/crvuPP27X/scft+v+44/btf/xx+26//jjT/na/6Hx3y08dRu3cRu3cRu3cRu3cRu3cRu3cRu38X+1caMr38Zt3MZt3MZt3MZt3MZt3MZt3MY/mXELcm/jNm7jNm7jNm7jNm7jNm7jNm7jn8y4Bbm3cRu3cRu3cRu3cRu3cRu3cRu38U9m3ILc27iN27iN27iN27iN27iN27iN2/gnM25B7m3cxm3cxm3cxm3cxm3cxm3cxm38kxm3IPc2buM2buM2buM2buM2buM2buM2/smMW5B7G7dxG7dxG7dxG7dxG7dxG7dxG/9kxi3IvY3buI3buI3buI3buI3buI3buI1/MuP/D+4Q21UOpKRQAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "n_to_show = 10\n", - "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", - "axs = axs.flatten()\n", - "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", - "for img, ax in zip(imgs, axs):\n", - " ax.imshow(img)\n", - " \n", - "for a in axs:\n", - " a.set_xticklabels([])\n", - " a.set_yticklabels([])\n", - "\n", - "plt.subplots_adjust(wspace=0, hspace=0)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "0891768c", - "metadata": {}, - "source": [ - "### In-Sample Training Results: SDSS" - ] - }, - { - "cell_type": "markdown", - "id": "9aa03613", - "metadata": {}, - "source": [ - "We fit the encoder using the BLISS pipeline. Essentially, photo-$z$ estimation is performed via a module in parallel to the existing pipeline: the current pipeline estimates locations, types, and fluxes of each astronomical object. We simply add outputs to the encoder network that are used to parameterize the variational distributions on redshift.\n", - "\n", - "Currently, the variational distributions on redshift are univariate Gaussian; a mixture of Gaussians could be used in the future. As with other quantities, the per-tile NLL contribution for redshift is conditioned on the presence of a true source in that tile, etc. We leave other aspects of BLISS unchanged, so in addition we also estimate the number of sources, the type of each source, the fluxes and galaxy parameters of each source, etc.\n", - "\n", - "Let's load the fitted encoder and check that we are detecting sources properly. We overlay red \"x\"s on the posterior mode per-tile of the detected source, if a source is detected in that tile. We'll just overlay on top of the r-band image, as we don't have coaddition support for SDSS." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "8d127115", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PATH = \"/data/scratch/declan/sdss_encoder_ckpt.ckpt\"\n", - "checkpoint = torch.load(PATH)\n", - "encoder.load_state_dict(checkpoint['state_dict'])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "8f6bbefc", - "metadata": {}, - "outputs": [], - "source": [ - "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", - "est_cat = est_cat.to_dict()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "0d71c7cc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot r_band for a selected image, overlay detected source locations\n", - "image_to_show = 5\n", - "fig, ax = plt.subplots()\n", - "ax.imshow(batch['images'][image_to_show].sum(0)) # Coadd by simple summation" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "b029d759", - "metadata": {}, - "outputs": [], - "source": [ - "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", - "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", - "est_cat = encoder.sample(batch, use_mode=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "ef07e553", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "mp = encoder.tiles_to_crop * encoder.tile_slen\n", - "fig = my_plot_detections(image_to_show, batch[\"images\"], target_cat_cropped, est_cat, margin_px=mp, figsize=(6,6))" - ] - }, - { - "cell_type": "markdown", - "id": "c46aa4f0", - "metadata": {}, - "source": [ - "Evidently, we're not doing terribly at predicting sources or their locations; let's assume then that we havne't broken the existing functionality of BLISS. We're interested in the quality of our photometric redshift estimates though. Let's plot these in a scatterplot across the whole training set. This will be quite a dense scatterplot because of the sheer number of images we train on." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "ff8c8535", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "\n", - "\n", - "for idx, batch in enumerate(train_dataloader):\n", - " est_cat = encoder.sample(batch, use_mode=True)\n", - " pred_redshifts = est_cat.to_dict()['redshifts']\n", - " true_redshifts = batch['tile_catalog']['redshifts']\n", - " \n", - " # Cut out border of true_redshifts\n", - " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", - " true_redshifts = true_redshifts.squeeze(-1)\n", - " \n", - " # Add this batch to scatterplot\n", - " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=3, alpha=0.1)\n", - " ax.set_xlim(0,1)\n", - " ax.set_ylim(0,1)\n", - " \n", - " if idx > 100:\n", - " break" - ] - }, - { - "cell_type": "markdown", - "id": "6fc32aee", - "metadata": {}, - "source": [ - "Not great, but better!" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "cd5e214c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Mean of Training Redshifts: 0.17945173382759094\n" - ] - } - ], - "source": [ - "training_mean = 0.\n", - "for idx, batch in enumerate(train_dataloader):\n", - " true_redshifts = batch['tile_catalog']['redshifts']\n", - " n_batch = 32*18*18\n", - " sum_this_batch = true_redshifts.sum()\n", - " training_mean = (training_mean * (idx * n_batch) + sum_this_batch)/((idx+1)*n_batch)\n", - " \n", - "print('Mean of Training Redshifts: {}'.format(training_mean))" - ] - }, - { - "cell_type": "markdown", - "id": "1f08f08c", - "metadata": {}, - "source": [ - "### Prior Catalog Construction: DC2\n", - "\n", - "We use the DC2 truth tables to get redshifts and photometry values. There is a large number of galaxies in these, so we filter down to only about 5 million or so to use in our empirical prior. As above, the prior of galaxies samples a vector of values `(redshift, u,g,r,i,z)` uniformly from these objects. \n", - "\n", - "As above, we only sample galaxies not stars." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "c7435fd6", - "metadata": {}, - "outputs": [], - "source": [ - "with initialize(config_path=\"../\", version_base=None):\n", - " cfg = compose(\"redshift\", {\n", - " \"predict.weight_save_path=/data/scratch/declan/dc2_encoder_ckpt.ckpt\",\n", - " \"cached_simulator.cached_data_path=/data/scratch/declan/dc2_like_galaxies\"\n", - " })" - ] - }, - { - "cell_type": "markdown", - "id": "2e816c0b", - "metadata": {}, - "source": [ - "### Semi-Synthetic Data: DC2" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "cfcad174", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Global seed set to 42\n" - ] - } - ], - "source": [ - "# This cell will take some time to run to load the dataset\n", - "pl.seed_everything(cfg.train.seed)\n", - "\n", - "# setup dataset and encoder\n", - "dataset = instantiate(cfg.train.data_source)\n", - "encoder = instantiate(cfg.train.encoder)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "c401fce2", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Batch of images is of shape torch.Size([32, 5, 80, 80])\n" - ] - } - ], - "source": [ - "train_dataloader = dataset.train_dataloader() \n", - "batch = next(iter(train_dataloader))\n", - "print('Batch of images is of shape {}'.format(batch['images'].shape))" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "e1171b84", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "n_to_show = 10\n", - "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", - "axs = axs.flatten()\n", - "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", - "for img, ax in zip(imgs, axs):\n", - " ax.imshow(img)\n", - " \n", - "for a in axs:\n", - " a.set_xticklabels([])\n", - " a.set_yticklabels([])\n", - "\n", - "plt.subplots_adjust(wspace=0, hspace=0)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "bb7f14e1", - "metadata": {}, - "source": [ - "### In-Sample Training Results: DC2" - ] - }, - { - "cell_type": "markdown", - "id": "5afbc1eb", - "metadata": {}, - "source": [ - "We fit the encoder using the BLISS pipeline. Essentially, photo-$z$ estimation is performed via a module in parallel to the existing pipeline: the current pipeline estimates locations, types, and fluxes of each astronomical object. We simply add outputs to the encoder network that are used to parameterize the variational distributions on redshift.\n", - "\n", - "Currently, the variational distributions on redshift are univariate Gaussian; a mixture of Gaussians could be used in the future. As with other quantities, the per-tile NLL contribution for redshift is conditioned on the presence of a true source in that tile, etc. We leave other aspects of BLISS unchanged, so in addition we also estimate the number of sources, the type of each source, the fluxes and galaxy parameters of each source, etc.\n", - "\n", - "Let's load the fitted encoder and check that we are detecting sources properly. We overlay red \"x\"s on the posterior mode per-tile of the detected source, if a source is detected in that tile. We'll just overlay on top of the r-band image, as we don't have coaddition support for SDSS." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "77ed3c44", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PATH = \"/data/scratch/declan/dc2_encoder_ckpt.ckpt\"\n", - "checkpoint = torch.load(PATH)\n", - "encoder.load_state_dict(checkpoint['state_dict'])" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "c3dd71f3", - "metadata": {}, - "outputs": [], - "source": [ - "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", - "est_cat = est_cat.to_dict()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "be683ec3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot r_band for a selected image, overlay detected source locations\n", - "image_to_show = 8\n", - "fig, ax = plt.subplots()\n", - "ax.imshow(batch['images'][image_to_show].sum(0)) # Coadd by simple summation" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "421d1788", - "metadata": {}, - "outputs": [], - "source": [ - "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", - "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", - "est_cat = encoder.sample(batch, use_mode=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "205ba6d6", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "mp = encoder.tiles_to_crop * encoder.tile_slen\n", - "fig = my_plot_detections(image_to_show, batch[\"images\"], target_cat_cropped, est_cat, margin_px=mp, figsize=(6,6))" - ] - }, - { - "cell_type": "markdown", - "id": "24d0b7d9", - "metadata": {}, - "source": [ - "Evidently, we're not doing terribly at predicting sources or their locations; let's assume then that we havne't broken the existing functionality of BLISS. We're interested in the quality of our photometric redshift estimates though. Let's plot these in a scatterplot across the whole training set. This will be quite a dense scatterplot because of the sheer number of images we train on." - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "3828b298", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "\n", - "\n", - "for idx, batch in enumerate(train_dataloader):\n", - " est_cat = encoder.sample(batch, use_mode=True)\n", - " pred_redshifts = est_cat.to_dict()['redshifts']\n", - " true_redshifts = batch['tile_catalog']['redshifts']\n", - " \n", - " # Cut out border of true_redshifts\n", - " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", - " true_redshifts = true_redshifts.squeeze(-1)\n", - " \n", - " # Add this batch to scatterplot\n", - " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=1, alpha=0.1)\n", - " ax.set_xlim(0,3)\n", - " ax.set_ylim(0,3)\n", - " \n", - " if idx > 100:\n", - " break" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "6c38aa7e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Mean of Training Redshifts: 1.644708514213562\n" - ] - } - ], - "source": [ - "training_mean = 0.\n", - "for idx, batch in enumerate(train_dataloader):\n", - " true_redshifts = batch['tile_catalog']['redshifts']\n", - " n_batch = 32*18*18\n", - " sum_this_batch = true_redshifts.sum()\n", - " training_mean = (training_mean * (idx * n_batch) + sum_this_batch)/((idx+1)*n_batch)\n", - " \n", - "print('Mean of Training Redshifts: {}'.format(training_mean))" - ] - }, - { - "cell_type": "markdown", - "id": "9c356b45", - "metadata": {}, - "source": [ - "### Accessing Standard Deviations to Compute NLL" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "78e20757", - "metadata": {}, - "outputs": [], - "source": [ - "def marginal_detections(pred_marginal): # noqa: WPS430\n", - " return pred_marginal.sample(use_mode=False)\n", - "\n", - "pred = encoder.infer(batch, marginal_detections)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "2f51bd10", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[[[1.2416],\n", - " [1.2368],\n", - " [0.2971],\n", - " ...,\n", - " [1.2753],\n", - " [1.3068],\n", - " [1.2731]],\n", - "\n", - " [[0.9672],\n", - " [0.4747],\n", - " [0.6095],\n", - " ...,\n", - " [1.1382],\n", - " [0.6346],\n", - " [1.1634]],\n", - "\n", - " [[0.5001],\n", - " [0.6022],\n", - " [0.5910],\n", - " ...,\n", - " [0.6557],\n", - " [0.7001],\n", - " [0.6870]],\n", - "\n", - " ...,\n", - "\n", - " [[1.0721],\n", - " [0.4331],\n", - " [0.4748],\n", - " ...,\n", - " [1.1664],\n", - " [0.8587],\n", - " [0.6487]],\n", - "\n", - " [[1.1385],\n", - " [0.2765],\n", - " [0.3842],\n", - " ...,\n", - " [0.6614],\n", - " [0.6392],\n", - " [1.1038]],\n", - "\n", - " [[1.3146],\n", - " [1.2437],\n", - " [1.0237],\n", - " ...,\n", - " [1.2888],\n", - " [1.1483],\n", - " [1.2638]]],\n", - "\n", - "\n", - " [[[1.2008],\n", - " [0.9526],\n", - " [0.6706],\n", - " ...,\n", - " [1.2407],\n", - " [1.0051],\n", - " [0.2253]],\n", - "\n", - " [[1.2551],\n", - " [0.5369],\n", - " [0.6778],\n", - " ...,\n", - " [0.5198],\n", - " [0.4067],\n", - " [0.4698]],\n", - "\n", - " [[1.3228],\n", - " [0.6500],\n", - " [0.5200],\n", - " ...,\n", - " [0.7034],\n", - " [0.2899],\n", - " [0.3208]],\n", - "\n", - " ...,\n", - "\n", - " [[1.2685],\n", - " [0.6168],\n", - " [0.7231],\n", - " ...,\n", - " [0.6840],\n", - " [1.2939],\n", - " [1.2313]],\n", - "\n", - " [[1.2396],\n", - " [0.7714],\n", - " [0.8379],\n", - " ...,\n", - " [0.5168],\n", - " [0.5319],\n", - " [1.2247]],\n", - "\n", - " [[1.2368],\n", - " [0.8390],\n", - " [0.8151],\n", - " ...,\n", - " [0.8772],\n", - " [1.2334],\n", - " [1.2097]]],\n", - "\n", - "\n", - " [[[1.2986],\n", - " [1.2853],\n", - " [0.6397],\n", - " ...,\n", - " [1.2379],\n", - " [1.2482],\n", - " [1.2617]],\n", - "\n", - " [[1.3065],\n", - " [1.2564],\n", - " [0.8037],\n", - " ...,\n", - " [0.5541],\n", - " [1.2372],\n", - " [1.2538]],\n", - "\n", - " [[1.2237],\n", - " [0.6039],\n", - " [0.7424],\n", - " ...,\n", - " [0.4576],\n", - " [1.1224],\n", - " [1.2155]],\n", - "\n", - " ...,\n", - "\n", - " [[1.2383],\n", - " [0.8355],\n", - " [0.8945],\n", - " ...,\n", - " [1.3767],\n", - " [0.4346],\n", - " [0.6640]],\n", - "\n", - " [[0.6501],\n", - " [0.6519],\n", - " [1.1652],\n", - " ...,\n", - " [0.9429],\n", - " [1.2234],\n", - " [0.8925]],\n", - "\n", - " [[1.2957],\n", - " [1.1650],\n", - " [1.1834],\n", - " ...,\n", - " [0.3555],\n", - " [0.9146],\n", - " [1.0717]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[1.2498],\n", - " [0.2914],\n", - " [1.2578],\n", - " ...,\n", - " [0.1800],\n", - " [1.2193],\n", - " [0.2935]],\n", - "\n", - " [[1.2458],\n", - " [0.5959],\n", - " [0.6653],\n", - " ...,\n", - " [0.7287],\n", - " [0.9439],\n", - " [0.9494]],\n", - "\n", - " [[1.1355],\n", - " [0.4225],\n", - " [0.4932],\n", - " ...,\n", - " [0.6853],\n", - " [0.6280],\n", - " [1.2344]],\n", - "\n", - " ...,\n", - "\n", - " [[0.5747],\n", - " [0.6226],\n", - " [0.6193],\n", - " ...,\n", - " [0.6501],\n", - " [0.3168],\n", - " [0.7022]],\n", - "\n", - " [[0.6721],\n", - " [0.7138],\n", - " [0.7702],\n", - " ...,\n", - " [0.5978],\n", - " [0.2875],\n", - " [1.2148]],\n", - "\n", - " [[1.2289],\n", - " [0.4466],\n", - " [1.1736],\n", - " ...,\n", - " [0.7778],\n", - " [0.6901],\n", - " [0.4500]]],\n", - "\n", - "\n", - " [[[1.1918],\n", - " [1.2357],\n", - " [1.2600],\n", - " ...,\n", - " [1.2314],\n", - " [1.2401],\n", - " [0.1630]],\n", - "\n", - " [[0.2821],\n", - " [0.8045],\n", - " [0.7802],\n", - " ...,\n", - " [1.2105],\n", - " [1.2407],\n", - " [0.4687]],\n", - "\n", - " [[0.4608],\n", - " [0.4661],\n", - " [0.7807],\n", - " ...,\n", - " [1.2458],\n", - " [1.1772],\n", - " [1.2311]],\n", - "\n", - " ...,\n", - "\n", - " [[1.2246],\n", - " [0.8841],\n", - " [0.6076],\n", - " ...,\n", - " [0.7825],\n", - " [1.2526],\n", - " [1.1856]],\n", - "\n", - " [[1.2734],\n", - " [1.0727],\n", - " [1.1944],\n", - " ...,\n", - " [0.7423],\n", - " [1.0653],\n", - " [0.8750]],\n", - "\n", - " [[1.1354],\n", - " [1.1209],\n", - " [1.2402],\n", - " ...,\n", - " [1.2126],\n", - " [1.0308],\n", - " [1.3031]]],\n", - "\n", - "\n", - " [[[1.2386],\n", - " [1.2930],\n", - " [1.3042],\n", - " ...,\n", - " [0.7917],\n", - " [0.7915],\n", - " [0.4785]],\n", - "\n", - " [[1.2936],\n", - " [1.1655],\n", - " [1.2622],\n", - " ...,\n", - " [0.4728],\n", - " [0.4047],\n", - " [0.5867]],\n", - "\n", - " [[1.0753],\n", - " [0.4757],\n", - " [0.6271],\n", - " ...,\n", - " [0.6657],\n", - " [1.1019],\n", - " [1.2806]],\n", - "\n", - " ...,\n", - "\n", - " [[1.2350],\n", - " [1.0527],\n", - " [1.2160],\n", - " ...,\n", - " [0.5807],\n", - " [0.7152],\n", - " [0.8635]],\n", - "\n", - " [[0.4774],\n", - " [0.5450],\n", - " [0.5983],\n", - " ...,\n", - " [0.6992],\n", - " [0.6305],\n", - " [1.2054]],\n", - "\n", - " [[0.5305],\n", - " [0.4711],\n", - " [0.5840],\n", - " ...,\n", - " [1.2695],\n", - " [1.2448],\n", - " [1.1936]]]], grad_fn=)" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred['marginal'].factors['redshift'].scale" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a73715e6", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/other/Evaluation.ipynb b/case_studies/redshift_estimation/notebooks/other/Evaluation.ipynb deleted file mode 100644 index ff141d9eb..000000000 --- a/case_studies/redshift_estimation/notebooks/other/Evaluation.ipynb +++ /dev/null @@ -1,551 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "d3578c49", - "metadata": {}, - "outputs": [], - "source": [ - "import torch\n", - "import numpy as np\n", - "import math\n", - "import os\n", - "import pytorch_lightning as pl\n", - "import torch\n", - "from hydra.utils import instantiate" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "33c107e3", - "metadata": {}, - "outputs": [], - "source": [ - "from os import environ\n", - "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", - "\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from bliss.main import predict\n", - "\n", - "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d390d81b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/home/declan/current/bliss'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "os.environ[\"BLISS_HOME\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "1e9e36fa", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/home/declan/current/bliss/case_studies/redshift_estimation/notebooks'" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "os.getcwd()" - ] - }, - { - "cell_type": "markdown", - "id": "8f8938d5", - "metadata": {}, - "source": [ - "I have stored the two checkpoints in the following locations:\n", - " 1. `/data/scratch/declan/sdss_encoder_ckpt.ckpt` for the SDSS-like galaxies\n", - " 2. `/data/scratch/declan/dc2_encoder_ckpt.ckpt` for the DC2-like galaxies" - ] - }, - { - "cell_type": "markdown", - "id": "8f7587ad", - "metadata": {}, - "source": [ - "Recall that the corresponding directories containing the data used to train these two encoder are in\n", - " 1. `/data/scratch/declan/sdss_like_galaxies` for the SDSS-like galaxies\n", - " 2. `/data/scratch/declan/dc2_like_galaxies` for the DC2-like galaxies" - ] - }, - { - "cell_type": "markdown", - "id": "1253b755", - "metadata": {}, - "source": [ - "Below, I will load the DC2 checkpoint for example. You should change both fields below to the corresponding ones for SDSS-like data. Note I give a checkpoint path and the location of the training data." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "0c941b5a", - "metadata": {}, - "outputs": [], - "source": [ - "with initialize(config_path=\"../\", version_base=None):\n", - " cfg = compose(\"redshift\", {\n", - " \"predict.weight_save_path=/data/scratch/declan/dc2_encoder_ckpt.ckpt\",\n", - " \"cached_simulator.cached_data_path=/data/scratch/declan/dc2_like_galaxies\"\n", - " })" - ] - }, - { - "cell_type": "markdown", - "id": "3a815635", - "metadata": {}, - "source": [ - "This cell will take a while because it loads all of the training data (100 GB)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "741a689f", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Global seed set to 42\n" - ] - } - ], - "source": [ - "pl.seed_everything(cfg.train.seed)\n", - "\n", - "# setup dataset and encoder\n", - "dataset = instantiate(cfg.train.data_source)\n", - "encoder = instantiate(cfg.train.encoder)" - ] - }, - { - "cell_type": "markdown", - "id": "b3df3ba0", - "metadata": {}, - "source": [ - "We aren't technically in `predict` mode so we need to manually load the checkpoint to the encoder." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "fb080edf", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PATH = \"/data/scratch/declan/dc2_encoder_ckpt.ckpt\"\n", - "checkpoint = torch.load(PATH)\n", - "encoder.load_state_dict(checkpoint['state_dict'])" - ] - }, - { - "cell_type": "markdown", - "id": "20cf7e55", - "metadata": {}, - "source": [ - "Your tasks are as follows:\n", - "- From the dataset, plot representative example images (you only need a few, like 2-3. You can pick the best ones to include in the write-up).\n", - "- Feed these images through the encoder to get predictions for all quantities. Plot predictions of location (e.g. with an \"x\" market) overlaid on the top of the example images. If stuff is working well, these should be right in the center of the galaxies approximately. Can you think of any clever ways to visualize redshift predictions for one example image?\n", - "- Create a scatterplot of predicted redshift vs. true redshift for all data in the training set. You can do an out-of-sample plot for validation data as well.\n", - "- Compute metrics such as MSE and NLL averaged across the training dataset. You can also do an out-of-sample plot for validation data as well.\n", - "\n", - "\n", - "Below, I work with an example observation just to provide a quick example." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "15426e4d", - "metadata": {}, - "outputs": [], - "source": [ - "train_dataloader = dataset.train_dataloader() # the data we trained on" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "eedd5f33", - "metadata": {}, - "outputs": [], - "source": [ - "val_dataloader = dataset.val_dataloader() # didn't train on, but used to choose checkpoint I think" - ] - }, - { - "cell_type": "markdown", - "id": "b624e256", - "metadata": {}, - "source": [ - "You will have to iterate through the whole dataloader of training and/or validation data." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "c76e0cac", - "metadata": {}, - "outputs": [], - "source": [ - "observation = next(iter(train_dataloader))" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "5534a7db", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['images', 'background', 'deconvolution', 'psf_params', 'tile_catalog'])" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "observation.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "0eadca65", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([32, 5, 80, 80])" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "observation['images'].shape" - ] - }, - { - "cell_type": "markdown", - "id": "b34d4b63", - "metadata": {}, - "source": [ - "Recall the tile catalog contains the \"true\" values used to generate the images. " - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "92b11ecc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "observation['tile_catalog'].keys()" - ] - }, - { - "cell_type": "markdown", - "id": "9161e25e", - "metadata": {}, - "source": [ - "Let's use the untrained encoder for prediction (it should perform very badly). " - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "a5d44a88", - "metadata": {}, - "outputs": [], - "source": [ - "est_cat = encoder.sample(observation, use_mode=True) # I'm using the mode to predict" - ] - }, - { - "cell_type": "markdown", - "id": "3c81ebfc", - "metadata": {}, - "source": [ - "The estimated catalog `est_cat` now contains the predicted values for each quantity. We can compre to the ground truth above." - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "75206f21", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'star_fluxes', 'source_type', 'galaxy_params', 'galaxy_fluxes', 'redshifts'])" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "est_cat = est_cat.to_dict()\n", - "est_cat.keys()" - ] - }, - { - "cell_type": "markdown", - "id": "3a5db8cc", - "metadata": {}, - "source": [ - "When `observation` is passed to `encoder`, the encoder ignores the ground truth `observation['tile_catalog']` to make the prediction obviously. But now we can compare the prediction to the ground truth." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "d3d20670", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[1.3300, 1.3700, 1.3200, 1.3300, 1.3500, 1.3100, 1.3500, 1.3100, 1.3400,\n", - " 1.3600, 1.3600, 1.3700, 1.3200, 1.3200, 1.3500, 1.3800, 1.3800, 1.4900],\n", - " [1.3500, 1.3700, 1.3100, 1.3400, 1.3600, 1.3300, 1.4000, 1.3800, 1.3600,\n", - " 1.3400, 1.3800, 1.3600, 1.3700, 1.3200, 1.3600, 1.4100, 1.4000, 1.4200],\n", - " [1.3500, 1.3500, 1.3200, 1.3300, 1.3300, 1.3300, 1.3800, 1.4000, 1.3600,\n", - " 1.3300, 1.4000, 1.3400, 1.3500, 1.3400, 1.3500, 1.3900, 1.3500, 1.3300],\n", - " [1.3300, 1.3000, 1.4000, 1.3100, 1.3900, 1.3200, 1.3500, 1.3800, 1.3300,\n", - " 1.3500, 1.4100, 1.2900, 1.4300, 1.3800, 1.3700, 1.3500, 1.4100, 1.3500],\n", - " [1.3500, 1.3500, 1.2900, 1.3500, 1.3500, 1.3300, 1.3400, 1.3400, 1.4200,\n", - " 1.3800, 1.3800, 1.3400, 1.4000, 1.4200, 1.3300, 1.3300, 1.3700, 1.3500],\n", - " [1.3600, 1.2900, 1.3300, 1.3300, 1.3200, 1.3300, 1.3300, 1.3400, 1.3400,\n", - " 1.3400, 1.3300, 1.3100, 1.3300, 1.3200, 1.3400, 1.3500, 1.3500, 1.3300],\n", - " [1.3600, 1.2800, 1.3700, 1.3300, 1.3400, 1.3600, 1.3300, 1.3600, 1.3500,\n", - " 1.3600, 1.3300, 1.3300, 1.3500, 1.3400, 1.3500, 1.3000, 1.3000, 1.3400],\n", - " [1.3500, 1.3000, 1.3600, 1.3600, 1.3700, 1.3400, 1.3300, 1.3400, 1.3300,\n", - " 1.3200, 1.3500, 1.3500, 1.3700, 1.3400, 1.3100, 1.3200, 1.2600, 1.3100],\n", - " [1.3100, 1.3000, 1.3500, 1.3900, 1.3900, 1.3300, 1.3700, 1.3500, 1.4000,\n", - " 1.3400, 1.3700, 1.3500, 1.4000, 1.3100, 1.3300, 1.3500, 1.3000, 1.3500],\n", - " [1.3700, 1.3300, 1.3100, 1.3100, 1.3400, 1.3700, 1.3300, 1.3100, 1.4200,\n", - " 1.3800, 1.3500, 1.3400, 1.4000, 1.3900, 1.3400, 1.3400, 1.3100, 1.3300],\n", - " [1.3700, 1.3000, 1.2900, 1.3200, 1.3300, 1.3100, 1.3600, 1.3700, 1.3600,\n", - " 1.3400, 1.3400, 1.3100, 1.3400, 1.3600, 1.4200, 1.3500, 1.3500, 1.3100],\n", - " [1.3300, 1.3800, 1.3400, 1.3300, 1.3500, 1.3200, 1.3300, 1.3100, 1.3500,\n", - " 1.3600, 1.3500, 1.3700, 1.4100, 1.3200, 1.3800, 1.3300, 1.3300, 1.3400],\n", - " [1.3300, 1.3400, 1.3300, 1.3900, 1.3600, 1.3200, 1.3100, 1.3800, 1.3200,\n", - " 1.4700, 1.3300, 1.3100, 1.4000, 1.3100, 1.3300, 1.3300, 1.3000, 1.3700],\n", - " [1.3300, 1.3200, 1.3400, 1.3900, 1.3300, 1.3300, 1.3300, 1.3300, 1.3400,\n", - " 1.3500, 1.3200, 1.3300, 1.3300, 1.3300, 1.3400, 1.2700, 1.3300, 1.4700],\n", - " [1.3900, 1.3500, 1.3400, 1.3200, 1.3200, 1.3400, 1.3900, 1.3100, 1.3300,\n", - " 1.3400, 1.3400, 1.3100, 1.3800, 1.3700, 1.3300, 1.3600, 1.3400, 1.3400],\n", - " [1.4300, 1.3600, 1.3300, 1.3500, 1.3400, 1.3900, 1.3200, 1.3200, 1.3100,\n", - " 1.3700, 1.3600, 1.3700, 1.3600, 1.3400, 1.3200, 1.3400, 1.3600, 1.3200],\n", - " [1.3700, 1.3300, 1.3300, 1.3500, 1.3100, 1.3600, 1.3100, 1.3500, 1.3600,\n", - " 1.3700, 1.3900, 1.2700, 1.3800, 1.3100, 1.3500, 1.3400, 1.3300, 1.3300],\n", - " [1.3700, 1.3200, 1.3400, 1.3400, 1.3600, 1.3200, 1.2800, 1.3300, 1.3300,\n", - " 1.3700, 1.4500, 1.3700, 1.3700, 1.3000, 1.3300, 1.3300, 1.2900, 1.3300]],\n", - " grad_fn=)" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "torch.round(est_cat['redshifts'][0].reshape(18,18), decimals=2) # for one image" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "a6d21dbc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([20, 20, 1, 1])" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "observation['tile_catalog']['redshifts'][0].shape" - ] - }, - { - "cell_type": "markdown", - "id": "9c70736e", - "metadata": {}, - "source": [ - "The shapes are off, as we see that our estimated catalog is 18x18. This is because when training on the true images, the edge is filtered out. We can ignore it as well. " - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "58694b55", - "metadata": {}, - "outputs": [], - "source": [ - "true_redshifts = observation['tile_catalog']['redshifts'][0][1:-1, 1:-1].reshape((18,18))" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "e3356723", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[0.4424, 1.2134, 2.8498, 1.9530, 0.5773, 0.5007, 0.9868, 2.4184, 1.1428,\n", - " 0.4347, 0.5634, 1.6868, 0.4143, 1.6364, 2.8903, 0.5156, 1.9588, 0.4310],\n", - " [0.6704, 2.3828, 0.9407, 2.6686, 0.5478, 1.0735, 0.5573, 2.7453, 2.8398,\n", - " 2.0776, 1.4965, 1.2019, 2.1638, 0.7854, 2.0735, 1.5511, 1.1001, 0.8776],\n", - " [0.1326, 1.4051, 2.2161, 1.8173, 1.0458, 2.9106, 2.1056, 1.1803, 0.1648,\n", - " 1.1238, 1.2248, 1.7003, 1.2856, 0.6593, 0.9938, 2.2289, 2.4001, 2.4243],\n", - " [0.8146, 1.7009, 0.6363, 0.9262, 1.6455, 1.0841, 0.5214, 1.3127, 0.4255,\n", - " 0.6747, 2.0102, 2.2205, 1.0597, 1.7882, 0.8592, 2.5242, 0.7988, 0.8940],\n", - " [0.6264, 0.7303, 0.6737, 0.8170, 1.4574, 1.8295, 1.2547, 1.5315, 0.9660,\n", - " 0.7526, 0.7736, 1.8675, 0.8731, 0.9475, 1.9461, 2.3829, 1.4235, 1.3090],\n", - " [1.2252, 0.9115, 1.0557, 0.9719, 0.5587, 0.5436, 0.5807, 0.3490, 0.3271,\n", - " 2.5016, 1.2764, 0.5977, 1.4651, 2.8698, 0.4914, 1.2269, 1.1538, 0.4595],\n", - " [2.0515, 2.5911, 0.6990, 0.4672, 1.9981, 1.5460, 0.8947, 2.9265, 1.1094,\n", - " 0.5227, 0.8124, 2.6757, 0.5131, 2.0876, 1.0579, 0.5281, 1.0678, 1.6351],\n", - " [1.4997, 0.4336, 0.6158, 1.7227, 1.6189, 0.8690, 2.8882, 0.9445, 0.4696,\n", - " 2.6392, 1.4398, 0.7631, 2.1878, 1.8018, 0.8933, 0.4142, 1.7922, 1.4057],\n", - " [2.4442, 1.1725, 2.5615, 1.5456, 0.7091, 0.4417, 0.7532, 1.2216, 1.8405,\n", - " 1.0114, 0.8838, 1.0009, 1.8682, 0.3149, 1.5213, 1.8545, 1.4063, 2.5931],\n", - " [2.3766, 0.5888, 0.8878, 1.9363, 1.1658, 0.5123, 0.6666, 0.7944, 0.7655,\n", - " 1.9147, 2.5979, 2.5385, 1.4867, 1.8856, 1.0242, 1.4960, 2.5435, 2.1964],\n", - " [0.3977, 2.5574, 1.2993, 0.5706, 0.5476, 2.4449, 0.7271, 0.7291, 1.4158,\n", - " 2.4398, 1.1905, 0.4516, 1.0111, 1.2499, 2.3482, 0.5771, 0.5883, 1.8748],\n", - " [1.3497, 0.8043, 2.1478, 1.4849, 0.7809, 1.4686, 1.4898, 1.8572, 0.7222,\n", - " 1.8991, 0.9300, 0.5403, 0.3649, 1.0093, 1.6537, 1.0489, 0.7760, 0.6347],\n", - " [1.5134, 1.3194, 1.4499, 2.3015, 0.8850, 0.5468, 2.3873, 0.3483, 1.1100,\n", - " 0.9315, 1.5860, 1.7341, 1.1995, 1.6980, 2.8948, 1.9815, 0.8707, 1.5194],\n", - " [0.6471, 1.5788, 1.6137, 1.2198, 2.1081, 1.5392, 0.3085, 1.0132, 1.8255,\n", - " 0.6707, 1.3240, 1.4176, 0.5033, 0.7050, 1.5769, 1.8040, 1.3506, 2.8135],\n", - " [1.5184, 0.8569, 0.9931, 0.7718, 2.0936, 0.7825, 2.3132, 0.4706, 0.7630,\n", - " 1.9527, 2.8320, 1.0988, 0.8000, 0.6191, 1.0008, 0.7738, 2.2045, 2.6840],\n", - " [0.5577, 1.8356, 1.4067, 0.5860, 0.4534, 1.5175, 0.8037, 1.1922, 1.4674,\n", - " 0.7378, 1.4864, 0.1571, 0.5416, 1.8984, 0.6031, 2.1362, 1.3330, 1.9663],\n", - " [0.3851, 0.9298, 1.8121, 2.4736, 2.6229, 1.9146, 2.3726, 0.9810, 1.0286,\n", - " 1.1337, 1.8299, 1.0356, 1.6818, 1.0884, 2.2380, 0.6510, 1.5849, 1.1161],\n", - " [2.6771, 1.4800, 1.6787, 1.0583, 0.3244, 1.2051, 0.6191, 0.8126, 0.6321,\n", - " 2.1589, 1.2006, 0.3348, 2.9682, 1.7694, 1.2036, 2.7588, 0.8875, 2.7577]])" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "true_redshifts" - ] - }, - { - "cell_type": "markdown", - "id": "b0fef5bc", - "metadata": {}, - "source": [ - "At a glance, looks pretty poor. I suspect SDSS is better and something simply went wrong with DC2 (we'll investigate)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "05ad44ec", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/other/ReadingTruthParquets.ipynb b/case_studies/redshift_estimation/notebooks/other/ReadingTruthParquets.ipynb deleted file mode 100644 index b44741081..000000000 --- a/case_studies/redshift_estimation/notebooks/other/ReadingTruthParquets.ipynb +++ /dev/null @@ -1,323 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "08f7b6a8", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import math\n", - "import numpy as np\n", - "import torch\n", - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "06befbeb", - "metadata": {}, - "outputs": [], - "source": [ - "import GCRCatalogs\n", - "# Command line: within virtual environment run \n", - "# python -m pip install https://github.com/LSSTDESC/gcr-catalogs/archive/v1.4.0.tar.gz#egg=GCRCatalogs[full]" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "e4f97dbf", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/nfs/turbo/lsa-regier/'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier/')\n", - "GCRCatalogs.get_root_dir()\n", - "# need to do this in accordance with instructions at https://data.lsstdesc.org/doc/install_gcr" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "edca2c09", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['desc_cosmodc2',\n", - " 'desc_dc2_run2.2i_dr6_object',\n", - " 'desc_dc2_run2.2i_dr6_object_with_truth_match',\n", - " 'desc_dc2_run2.2i_dr6_truth',\n", - " 'desc_dc2_run2.2i_truth_galaxy_summary',\n", - " 'desc_dc2_run2.2i_truth_sn_summary',\n", - " 'desc_dc2_run2.2i_truth_sn_variability',\n", - " 'desc_dc2_run2.2i_truth_star_summary',\n", - " 'desc_dc2_run2.2i_truth_star_variability']" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# List of public catalog names\n", - "GCRCatalogs.get_public_catalog_names()" - ] - }, - { - "cell_type": "markdown", - "id": "57acc682", - "metadata": {}, - "source": [ - "We're generally going to be interested in the truth files, which we know will have redshift and photometry values for us to use. Unsure right now whether we want `truth` or `_with_truth_match`. Evidently, the truth match files contain information from the object files as well. We can explore relevant fields." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "ec559992", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['flux_r',\n", - " 'flux_z',\n", - " 'mag_y',\n", - " 'host_galaxy',\n", - " 'av',\n", - " 'match_sep',\n", - " 'mag_z',\n", - " 'flux_u',\n", - " 'is_unique_truth_entry',\n", - " 'ra',\n", - " 'match_objectId',\n", - " 'rv',\n", - " 'mag_i',\n", - " 'is_nearest_neighbor',\n", - " 'cosmodc2_hp',\n", - " 'flux_y',\n", - " 'cosmodc2_id',\n", - " 'id',\n", - " 'patch',\n", - " 'mag_r',\n", - " 'flux_i',\n", - " 'id_string',\n", - " 'truth_type',\n", - " 'dec',\n", - " 'redshift',\n", - " 'mag_g',\n", - " 'flux_g',\n", - " 'tract',\n", - " 'mag_u',\n", - " 'is_good_match']" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "truth_cat = GCRCatalogs.load_catalog('desc_dc2_run2.2i_dr6_truth')\n", - "truth_cat.list_all_quantities()" - ] - }, - { - "cell_type": "markdown", - "id": "717ba01c", - "metadata": {}, - "source": [ - "Per Xinyue's work, the match files contain information on the psf and galaxy parameters that are unique to DC2. See discussion at the top of the page here: https://github.com/prob-ml/bliss/blob/dc2_script/case_studies/dc2/DC2_galaxy_psf_params.ipynb\n", - "\n", - "These PSF and Galaxy parameters may need to be incorporated into the forward model for BLISS if the goal is inference for DC2 images specifically. Maybe we won't worry about that so much for now, and we will focus on just extracting the relevant fluxes and redshifts. We can add in PSF and galaxy specifics later." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "e80da032", - "metadata": {}, - "outputs": [], - "source": [ - "# This cell may take a long time to run, about 30-50 minutes for me\n", - "# We will extract relevant quanitites and save them for later\n", - "data = truth_cat.get_quantities([\n", - " \"id\", \"match_objectId\", \"cosmodc2_id\", \"ra\", \"dec\", \"truth_type\", \n", - " \"redshift\", \"flux_g\", \"flux_i\", \"flux_r\", \"flux_u\", \"flux_y\", \"flux_z\"\n", - "])" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "1c7bd593", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(764026213,)" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data['id'].shape" - ] - }, - { - "cell_type": "markdown", - "id": "7081fd52", - "metadata": {}, - "source": [ - "There are 764 million+ objects. We can get more meta-info by doing the below. See https://yymao.github.io/generic-catalog-reader/#GCR.BaseGenericCatalog.get_quantities for more documentation." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "ab5f55e2", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'subclass_name': 'dc2_truth_match.DC2TruthMatchCatalog',\n", - " 'base_dir': '/nfs/turbo/lsa-regier/lsstdesc-public/dc2/run2.2i-dr6-v4/truth_match',\n", - " 'filename_pattern': 'truth_tract\\\\d+.parquet$',\n", - " 'as_truth_table': True,\n", - " 'description': 'DESC DC2 (Run2.2i) DR6 Truth Table for the Public Release v4',\n", - " 'creators': 'Rubin LSST DESC DC2 Team',\n", - " 'public_release': ['v4']}" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "truth_cat.get_catalog_info()" - ] - }, - { - "cell_type": "markdown", - "id": "5690beb8", - "metadata": {}, - "source": [ - "We may want to filter down some of these. For example, to start, maybe we should only consider redshifts between 0 and 1 and aim to infer these to a reasonably high degree of accuracy. These probably just iterate through the data, so this cell also may take a long time. Following the example here: https://github.com/LSSTDESC/gcr-catalogs/blob/master/examples/GCRCatalogs%20Demo.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "e70ddb27", - "metadata": {}, - "outputs": [], - "source": [ - "from GCR import GCRQuery\n", - "\n", - "# Let's choose a small RA and Dec range to do the matching so that it won't take too long!\n", - "ra_min, ra_max = 55.5, 56.0\n", - "dec_min, dec_max = -29.0, -28.5\n", - "redshift_min, redshift_max = 0.0, 1.0\n", - "\n", - "coord_cut = GCRQuery(\n", - " 'ra >= {}'.format(ra_min),\n", - " 'ra < {}'.format(ra_max),\n", - " 'dec >= {}'.format(dec_min),\n", - " 'dec < {}'.format(dec_max),\n", - ")\n", - "\n", - "redshift_cut = GCRQuery(\n", - " 'redshift >= {}'.format(redshift_min),\n", - " 'redshift < {}'.format(redshift_max),\n", - ")\n", - "\n", - "magnitude_filters = GCRQuery(\n", - " (np.isfinite, 'flux_i'),\n", - " 'flux_i > 1e3',\n", - ")\n", - "\n", - "data_subset = (coord_cut & magnitude_filters & redshift_cut).filter(data)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "c48eec6c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(13185,)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data_subset['id'].shape" - ] - }, - { - "cell_type": "markdown", - "id": "b051c2cf", - "metadata": {}, - "source": [ - "This is a very restrictive cut due to the ra and dec ranges specified, just for example. We will not need such cuts, but may add some cuts on flux or magnitude, for example." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "12017b6e", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometry.ipynb b/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometry.ipynb deleted file mode 100644 index b263fb273..000000000 --- a/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometry.ipynb +++ /dev/null @@ -1,2059 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "d3578c49", - "metadata": {}, - "outputs": [], - "source": [ - "import torch\n", - "import numpy as np\n", - "import math\n", - "import os\n", - "import pytorch_lightning as pl\n", - "import torch\n", - "from hydra.utils import instantiate\n", - "import matplotlib.pyplot as plt\n", - "from case_studies.redshift_estimation.catalog import RedshiftFullCatalog, RedshiftTileCatalog\n", - "from bliss.encoder.plotting import plot_detections, my_plot_detections\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "import torch.nn as nn\n", - "from einops import rearrange, reduce, repeat" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "33c107e3", - "metadata": {}, - "outputs": [], - "source": [ - "from os import environ\n", - "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", - "\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from bliss.main import predict\n", - "\n", - "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "2827e204", - "metadata": {}, - "outputs": [], - "source": [ - "with initialize(config_path=\"../\", version_base=None):\n", - " cfg = compose(\"redshift\", {\n", - " \"predict.weight_save_path=/data/scratch/declan/sdss_encoder_ckpt.ckpt\",\n", - " \"cached_simulator.cached_data_path=/data/scratch/declan/sdss_like_galaxies\"\n", - " })" - ] - }, - { - "cell_type": "markdown", - "id": "b437af38", - "metadata": {}, - "source": [ - "### Semi-Synthetic Data: SDSS" - ] - }, - { - "cell_type": "markdown", - "id": "bb79bfa7", - "metadata": {}, - "source": [ - "Let's look at some images generated in this manner. We plot 10 example images, each in the $u,g,r,i,z$ bands. By default, BLISS chooses the SDSS survey with reference band $r$, and we make no modifications to this." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "8b797d77", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Global seed set to 42\n" - ] - } - ], - "source": [ - "# This cell will take some time to run to load the dataset\n", - "pl.seed_everything(cfg.train.seed)\n", - "\n", - "# setup dataset and encoder\n", - "dataset = instantiate(cfg.train.data_source)\n", - "encoder = instantiate(cfg.train.encoder)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "0baa6a54", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Batch of images is of shape torch.Size([32, 5, 80, 80])\n" - ] - } - ], - "source": [ - "train_dataloader = dataset.train_dataloader() \n", - "batch = next(iter(train_dataloader))\n", - "print('Batch of images is of shape {}'.format(batch['images'].shape))" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "b87a36f1", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "n_to_show = 10\n", - "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", - "axs = axs.flatten()\n", - "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", - "for img, ax in zip(imgs, axs):\n", - " ax.imshow(img)\n", - " \n", - "for a in axs:\n", - " a.set_xticklabels([])\n", - " a.set_yticklabels([])\n", - "\n", - "plt.subplots_adjust(wspace=0, hspace=0)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "0891768c", - "metadata": {}, - "source": [ - "### In-Sample Training Results: SDSS" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "8d127115", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PATH = \"/data/scratch/declan/sdss_encoder_ckpt.ckpt\"\n", - "checkpoint = torch.load(PATH)\n", - "encoder.load_state_dict(checkpoint['state_dict'])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "8f6bbefc", - "metadata": {}, - "outputs": [], - "source": [ - "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", - "est_cat = est_cat.to_dict()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "0d71c7cc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot r_band for a selected image, overlay detected source locations\n", - "image_to_show = 5\n", - "fig, ax = plt.subplots()\n", - "ax.imshow(batch['images'][image_to_show].sum(0)) # Coadd by simple summation" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "b029d759", - "metadata": {}, - "outputs": [], - "source": [ - "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", - "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", - "est_cat = encoder.sample(batch, use_mode=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "ef07e553", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjMAAAJlCAYAAAAvhXMoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAADOcElEQVR4nOzdeXwURfo/8E/PmXMSEnJKgAgoRC4FxairHJGIWb/6E10PViMiLBpcIAqIIpcHCnIpKJ6gK4jgiruCchgOVwkC0SigIiIQNKfkGHLNWb8/QjqZTHWYZnquzPN+veYFqanpru7pnqnpfp4qgTHGQAghhBASoFS+bgAhhBBCiDuoM0MIIYSQgEadGUIIIYQENOrMEEIIISSgUWeGEEIIIQGNOjOEEEIICWjUmSGEEEJIQKPODCGEEEICmsbXDZDCGIPVaoXNZvN1UwghhBBZ1Go1NBoNBEHwdVOCgl92ZsxmM0pKSlBfX+/rphBCCCEXJCwsDElJSdDpdL5uSocn+Nt0Bna7HceOHYNarUZcXBx0Oh31bAkhhAQMxhjMZjMqKipgs9nQq1cvqFQU1eFJfndlxmw2w263IyUlBWFhYb5uDiGEECJbaGgotFotTp06BbPZjJCQEF83qUPz264i9WIJIYQEMvoe8x7a04QQQggJaNSZIYQQQkhAo85MAFqzZg2io6N93QxCCCHEL1BnRkFDhw7FlClTfN0MQgghJKh03M6M2QyUlDiWlZQ0lRNCSJCqqwMEoelRV+fr1vgPi8Xi6yYQN3TMzozZDNx5J3DddUBRUVNZUVHT33fe6ZEOzQMPPIA9e/Zg+fLlEAQBgiDg5MmTTvVKSkqQlZWF0NBQpKamYt26dejevTuWLVsm1lmyZAn69euH8PBwpKSk4JFHHkFtba3ibSaEEG8YOnQoJk2ahEmTJiEqKgqdO3fG008/Dalhzr7//nsMGzYMkZGRMBgMGDRoEA4ePCg+/+9//xuXXXYZ9Ho9unfvjsWLFzu8XhAEfPLJJw5l0dHRWLNmDQDg5MmTEAQBH374IW644QaEhIRg7dq1AIB33nlHXHZSUhImTZokLqO6uhoPPfQQ4uLiYDAYMHz4cHz//fcK7CHiro7ZmTlzBjh8GPjtN2DYMODrr5v+/e23pvIzZxRf5fLly5Geno7x48ejpKQEJSUlSElJcap3//33o7i4GLt378a///1vvPHGGygvL3eoo1Kp8PLLL+PIkSN49913sXPnTkyfPl3xNhNCgkddXcujvTJPeffdd6HRaLB//34sX74cS5YswVtvvcWtO2bMGHTp0gUHDhxAQUEBnnjiCWi1WgBAQUEB/va3v+Huu+/GoUOHMHfuXDz99NNiR0WOJ554ApMnT8ZPP/2EzMxMvPbaa8jJycGECRNw6NAh/Pe//0XPnj3F+nfeeSfKy8vx+eefo6CgAFdccQVGjBiBysrKC9onREHMzzQ0NLAff/yRNTQ0uLegU6cYu/hixoCWx8UXN5V7yA033MAmT54s+fxPP/3EALADBw6IZceOHWMA2NKlSyVft3HjRhYbGyv+vXr1ahYVFaVAiwkhwaL1RyHv4Uk33HAD69OnD7Pb7WLZjBkzWJ8+fbj1IyMj2Zo1a7jP3XvvvezGG290KJs2bRpLS0sT/wbANm3a5FAnKiqKrV69mjHG2IkTJxgAtmzZMoc6ycnJ7KmnnuKu93//+x8zGAyssbHRobxHjx7s9ddf575Gse8zcl4d88oMAHTtCrz3nmPZe+81lfvI0aNHodFocMUVV4hlPXv2RKdOnRzqffHFFxgxYgQuuugiREZG4r777sOZM2doripCSMC6+uqrHaamSU9Px7Fjx7iTCefm5uKhhx5CRkYGXnjhBRw/flx87qeffsK1117rUP/aa6+VXFZ7Bg8eLP6/vLwcxcXFGDFiBLfu999/j9raWsTGxiIiIkJ8nDhxwqF9xDc6bmemqAi4/37Hsvvvb4mh8VMnT57EX//6V/Tv3x///ve/UVBQgJUrVwJomuqBEEIuRG1t06OsrKWsrKyl3J/MnTsXR44cQVZWFnbu3Im0tDRs2rTJ5dcLguAUj8ML8A0PDxf/Hxoa2u4ya2trkZSUhMLCQofH0aNHMW3aNJfbRjyjY3ZmSkpaYmQuvhj46qumf5tjaNpmOSlEp9O1+8vg0ksvhdVqxXfffSeW/frrr6iqqhL/LigogN1ux+LFi3H11VfjkksuQXFxsUfaSwgJHuHhLY/2yjzlm2++cfh737596NWrF9RqNbf+JZdcgqlTp2L79u24/fbbsXr1agBAnz598PXXXzvU/frrr3HJJZeIy4qLi0NJq8/5Y8eOnffKdmRkJLp37468vDzu81dccQVKS0uh0WjQs2dPh0fnzp3b33jicR2zMxMbC/Tt29SB2bULuPbapn8vvripPDbWI6vt3r07vvnmG5w8eRJ//vkn7HY7evfuLf6i6N27NzIyMjBhwgTs378f3333HSZMmIDQ0FDx8mvPnj1hsVjwyiuv4LfffsO//vUvrFq1yiPtJYQQbykqKkJubi6OHj2KDz74AK+88gomT54MAJg5cybuP3clvaGhAZMmTcLu3btx6tQpfP311zhw4AD69OkDAHjssceQl5eHZ555Br/88gveffddrFixAo8//ri4ruHDh2PFihX47rvvcPDgQUycOFEMIG7P3LlzsXjxYrz88ss4duwYvv32W7zyyisAgIyMDKSnp+O2227D9u3bcfLkSezduxdPPfWUQ6YV8RFfB+20pVjAlMnEWHGxY1lxcVO5hxw9epRdffXVLDQ0lAEQg8yag86amlDMRo0axfR6PevWrRtbt24di4+PZ6tWrRLrLFmyhCUlJbHQ0FCWmZnJ3nvvPQaAVVVVMcYoAJgQElhuuOEG9sgjj7CJEycyg8HAOnXqxJ588kkxIDg7O5vdcMMNjDHGTCYTu/vuu1lKSgrT6XQsOTmZTZo0yeE74aOPPmJpaWlMq9Wyrl27skWLFjms748//mAjR45k4eHhrFevXuyzzz7jBgB/9913Tm1dtWoVu/TSS5lWq2VJSUns0UcfFZ8zGo3s0UcfZcnJyUyr1bKUlBQ2ZswYVlRUxN1uCgD2HoExiUR/H2lsbMSJEyeQmpoaFFOm//7770hJSRGDfgkhpKMZOnQoBg4c6DCeVjAItu8zX9L4ugHBZufOnaitrUW/fv1QUlKC6dOno3v37rj++ut93TRCCCEkIFFnxsssFguefPJJ/Pbbb4iMjMQ111yDtWvXunQ/lxBCCCHO6DYTIYQQ4gH0feY9HTObiRBCCCFBgzozhBBCCAlo1JkhhBBCSECjzgwhhBBCAhp1ZgghhBAS0KgzQwghhJCARp0ZQgghhAQ06swoaOjQoZgyZYrPXk8IIYQEow7bmbGb7TCVmBzKTCUm2M12H7XIe8xms6+bQAghhHhNh+zM2M12HLnzCL677js0FjUCABqLGvHddd/hyJ1HPNKheeCBB7Bnzx4sX74cgiBAEAScPHnSqd6rr76KXr16ISQkBAkJCbjjjjvafb3NZsO4ceOQmpqK0NBQXHrppVi+fLnTum+77TY899xzSE5OxqWXXqr49hFCCCH+qkPOzWQ5Y0Hd4To0/taIwmGF6PNeH/x0/09o/K1RfF6fpFd0ncuXL8cvv/yCvn37Yv78+QCAuLg4hzoHDx7EP//5T/zrX//CNddcg8rKSvzvf/9r9/V2ux1dunTBxo0bERsbi71792LChAlISkrC3/72N3HZeXl5MBgM2LFjh6LbRQghhPi7DtmZ0SfpMXDXQBQOK0Tjb01XZAAg5OIQDNw1UPGODABERUVBp9MhLCwMiYmJ3DpFRUUIDw/HX//6V0RGRqJbt264/PLL2329Wq3GvHnzxL9TU1ORn5+PDRs2OHRmwsPD8dZbb0Gn0ym+bYQQQog/65C3mQAgpGsI+rzXx6Gsz3t9ENLVd5N93XjjjejWrRsuvvhi3HfffVi7di3q6+vP+7qVK1di0KBBiIuLQ0REBN544w0UFRU51OnXrx91ZAghhASlDtuZaSxqxE/3/+RQ9tP9P4kxNL4QGRmJb7/9Fh988AGSkpIwe/ZsDBgwANXV1ZKvWb9+PR5//HGMGzcO27dvR2FhIcaOHesU5BseHu7h1hNCCCH+qUN2ZkwlJvEWU8jFIbj8q8sRcnGIGEPTNstJKTqdDjabrd06Go0GGRkZWLhwIX744QecPHkSO3fulHz9119/jWuuuQaPPPIILr/8cvTs2RPHjx/3SPsJIYSQQNQhOzPaWC3C+4aLMTJR10Zh4K6BCLk4BOF9w6GN1Xpkvd27d8c333yDkydP4s8//4Tdbkfv3r2xadMmAMDmzZvx8ssvo7CwEKdOncJ7770Hu90uZh/xXt+rVy8cPHgQ27Ztwy+//IKnn34aBw4c8Ej7CSGEkEDUITszKp0Kl228rOmKzLkYmZCuTVdoLtt4GVQ6z2z2448/DrVajbS0NMTFxaGoqAhHjx5FTU0NACA6Ohoff/wxhg8fjj59+mDVqlX44IMPcNlll0m+/h//+Aduv/123HXXXRgyZAjOnDmDRx55xCPtJ4QQQgKRwBhjvm5Ea42NjThx4gRSU1MREuK7YF1CCCHEHfR95j0d8soMIYQQQoIHdWYIIYQQEtCoM0MIIYSQgEadGUIIIYQENL/tzPhZXDIhhBAiC32PeY/fdWa02qYxYFwZ5p8QQgjxV83fY83fa8Rz/G6iSbVajejoaJSXlwMAwsLCIAiCj1tFCCGEuIYxhvr6epSXlyM6OhpqtdrXTerw/G6cGaDpQCgtLW13ziJCCCHEn0VHRyMxMZF+kHuBX3ZmmtlsNlgsFl83gxBCCJFFq9XSFRkv8uvODCGEEELI+fhdADAhhBBCiBzUmSGEEEJIQKPODCGEEEICGnVmCCGEEBLQqDNDCCGEkIBGnRlCCCGEBDTqzBBCCCEkoFFnhhBCCCEBjTozhBBCCAlo1JkhhBBCSECjzgwhhBBCAhp1ZgghhBAS0KgzQwghhJCARp0ZQgghhAQ06swQQgghJKBRZ4YQQgghAY06M4QQQggJaNSZIYQQQkhAo84MIYQQQgIadWYIIYQQEtCoM0MIIYSQgEadGUIIIYQENOrMEEIIISSgUWeGEEIIIQGNOjOEEEIICWjUmSGEEEJIQKPODCGEEEICGnVmCCGEEBLQqDNDCCGEkIBGnRlCCCGEBDTqzBBCCCEkoFFnhhBCCCEBjTozhBBCCAlo1JkhhBBCSECjzgwhhBBCAhp1ZgghhBAS0KgzQwghhJCARp0ZQgghhAQ06swQQgghJKBRZ4YQQgghAY06M4QQQggJaNSZIYQQQkhAo84MIYQQQgIadWYIIYQQEtCoM0MIIYSQgEadGUIIIYQENOrMEEIIISSgUWeGEEIIIQGNOjOEEEIICWjUmSGEEEJIQKPODCGEEEICGnVmCCGEEBLQqDNDCCGEkIBGnRlCCCGEBDTqzBBCCCEkoFFnhhBCCCEBjTozhBBCCAlo1JkhhBBCSECjzgwhhBBCAhp1ZgghhBAS0KgzQwghhJCA5nedmZUrV6J79+4ICQnBkCFDsH//fl83SbYvv/wSt9xyC5KTkyEIAj755BOH5xljmD17NpKSkhAaGoqMjAwcO3bMN42VYcGCBbjyyisRGRmJ+Ph43HbbbTh69KhDncbGRuTk5CA2NhYREREYPXo0ysrKfNRi17z22mvo378/DAYDDAYD0tPT8fnnn4vPB+I28bzwwgsQBAFTpkwRywJ12+bOnQtBEBwevXv3Fp8P1O0CgD/++AN///vfERsbi9DQUPTr1w8HDx4Unw/Uz4/u3bs7vWeCICAnJwdA4L5nNpsNTz/9NFJTUxEaGooePXrgmWeeAWNMrBOo71lAYX5k/fr1TKfTsXfeeYcdOXKEjR8/nkVHR7OysjJfN02Wzz77jD311FPs448/ZgDYpk2bHJ5/4YUXWFRUFPvkk0/Y999/z/7v//6PpaamsoaGBt802EWZmZls9erV7PDhw6ywsJDdfPPNrGvXrqy2tlasM3HiRJaSksLy8vLYwYMH2dVXX82uueYaH7b6/P773/+yLVu2sF9++YUdPXqUPfnkk0yr1bLDhw8zxgJzm9rav38/6969O+vfvz+bPHmyWB6o2zZnzhx22WWXsZKSEvFRUVEhPh+o21VZWcm6devGHnjgAfbNN9+w3377jW3bto39+uuvYp1A/fwoLy93eL927NjBALBdu3YxxgL3PXvuuedYbGws27x5Mztx4gTbuHEji4iIYMuXLxfrBOp7Fkj8qjNz1VVXsZycHPFvm83GkpOT2YIFC3zYKve07czY7XaWmJjIFi1aJJZVV1czvV7PPvjgAx+08MKVl5czAGzPnj2Msabt0Gq1bOPGjWKdn376iQFg+fn5vmrmBenUqRN76623OsQ2nT17lvXq1Yvt2LGD3XDDDWJnJpC3bc6cOWzAgAHc5wJ5u2bMmMGuu+46yec70ufH5MmTWY8ePZjdbg/o9ywrK4s9+OCDDmW33347GzNmDGOsY71n/sxvbjOZzWYUFBQgIyNDLFOpVMjIyEB+fr4PW6asEydOoLS01GE7o6KiMGTIkIDbzpqaGgBATEwMAKCgoAAWi8Vh23r37o2uXbsGzLbZbDasX78edXV1SE9P7xDblJOTg6ysLIdtAAL//Tp27BiSk5Nx8cUXY8yYMSgqKgIQ2Nv13//+F4MHD8add96J+Ph4XH755XjzzTfF5zvK54fZbMb777+PBx98EIIgBPR7ds011yAvLw+//PILAOD777/HV199hVGjRgHoOO+Zv9P4ugHN/vzzT9hsNiQkJDiUJyQk4Oeff/ZRq5RXWloKANztbH4uENjtdkyZMgXXXnst+vbtC6Bp23Q6HaKjox3qBsK2HTp0COnp6WhsbERERAQ2bdqEtLQ0FBYWBuw2AcD69evx7bff4sCBA07PBfL7NWTIEKxZswaXXnopSkpKMG/ePPzlL3/B4cOHA3q7fvvtN7z22mvIzc3Fk08+iQMHDuCf//wndDodsrOzO8znxyeffILq6mo88MADAAL7WHziiSdgNBrRu3dvqNVq2Gw2PPfccxgzZgyAjvOZ7+/8pjNDAktOTg4OHz6Mr776ytdNUcSll16KwsJC1NTU4KOPPkJ2djb27Nnj62a55fTp05g8eTJ27NiBkJAQXzdHUc2/egGgf//+GDJkCLp164YNGzYgNDTUhy1zj91ux+DBg/H8888DAC6//HIcPnwYq1atQnZ2to9bp5y3334bo0aNQnJysq+b4rYNGzZg7dq1WLduHS677DIUFhZiypQpSE5O7lDvmb/zm9tMnTt3hlqtdopeLysrQ2Jioo9apbzmbQnk7Zw0aRI2b96MXbt2oUuXLmJ5YmIizGYzqqurHeoHwrbpdDr07NkTgwYNwoIFCzBgwAAsX748oLepoKAA5eXluOKKK6DRaKDRaLBnzx68/PLL0Gg0SEhICNhtays6OhqXXHIJfv3114B+z5KSkpCWluZQ1qdPH/EWWkf4/Dh16hS++OILPPTQQ2JZIL9n06ZNwxNPPIG7774b/fr1w3333YepU6diwYIFADrGexYI/KYzo9PpMGjQIOTl5YlldrsdeXl5SE9P92HLlJWamorExESH7TQajfjmm2/8fjsZY5g0aRI2bdqEnTt3IjU11eH5QYMGQavVOmzb0aNHUVRU5Pfb1pbdbofJZArobRoxYgQOHTqEwsJC8TF48GCMGTNG/H+gbltbtbW1OH78OJKSkgL6Pbv22mudhjv45Zdf0K1bNwCB/fnRbPXq1YiPj0dWVpZYFsjvWX19PVQqx69StVoNu90OoGO8ZwHB1xHIra1fv57p9Xq2Zs0a9uOPP7IJEyaw6OhoVlpa6uumyXL27Fn23Xffse+++44BYEuWLGHfffcdO3XqFGOsKU0vOjqa/ec//2E//PADu/XWWwMiTe/hhx9mUVFRbPfu3Q4plvX19WKdiRMnsq5du7KdO3eygwcPsvT0dJaenu7DVp/fE088wfbs2cNOnDjBfvjhB/bEE08wQRDY9u3bGWOBuU1SWmczMRa42/bYY4+x3bt3sxMnTrCvv/6aZWRksM6dO7Py8nLGWOBu1/79+5lGo2HPPfccO3bsGFu7di0LCwtj77//vlgnUD8/GGvKUO3atSubMWOG03OB+p5lZ2eziy66SEzN/vjjj1nnzp3Z9OnTxTqB/J4FCr/qzDDG2CuvvMK6du3KdDodu+qqq9i+fft83STZdu3axQA4PbKzsxljTal6Tz/9NEtISGB6vZ6NGDGCHT161LeNdgFvmwCw1atXi3UaGhrYI488wjp16sTCwsLY//t//4+VlJT4rtEuePDBB1m3bt2YTqdjcXFxbMSIEWJHhrHA3CYpbTszgbptd911F0tKSmI6nY5ddNFF7K677nIYiyVQt4sxxj799FPWt29fptfrWe/evdkbb7zh8Hygfn4wxti2bdsYAG57A/U9MxqNbPLkyaxr164sJCSEXXzxxeypp55iJpNJrBPI71mgEBhrNUwhIYQQQkiA8ZuYGUIIIYSQC0GdGUIIIYQENOrMEEIIISSgUWeGEEIIIQGNOjOEEEIICWjUmSGEEEJIQKPODCGEEEICmt91ZkwmE+bOnQuTyeTrpiiuo25bR90uoONuW0fdLqDjbltH3S6g425bR90uf+SxQfNWrlyJRYsWobS0FAMGDMArr7yCq6666ryvMxqNiIqKQk1NDQwGgyea5jMddds66nYBHXfbOup2AR132zrqdgEdd9s66nb5I49cmfnwww+Rm5uLOXPm4Ntvv8WAAQOQmZmJ8vJyT6yOEEIIIUHMI52ZJUuWYPz48Rg7dizS0tKwatUqhIWF4Z133vHE6gghhBASxDRKL9BsNqOgoAAzZ84Uy1QqFTIyMpCfn+9U32QyOdxPrK6uBgDU1NQo3TSfMxqNDv92FB11u4COu20ddbuAjrttHXW7gI67bc3fY3a73aG8sbERZrNZ8fXpdDqEhIQovtxAoHhn5s8//4TNZkNCQoJDeUJCAn7++Wen+gsWLMC8efOcyrt27ap00/xGSkqKr5vgER11u4COu20ddbuAjrttHXW7gI67bZWVlYiOjgbQ1JFJ7RaB0nKb4utJTEzEiRMngrJDo3hnRq6ZM2ciNzdX/LumpgZdu3bFdbgZGmjPvwBBcC5rE9OsD9NjQ8mbAIC/JY+Hqf4Ce8Tuxkrz2uovbeAt1932empCdiW2wdW6crZBzv7y9r5xlRLtkrMflTgn/JES2+vqe+GpzxVvvjfe3F9tlqsP02FD8bnvh6TxMNWbJOvKbYMVFnyFzxAbGyuWmc1mlJbbcKKgGwyRykV6GM/akTroFMxmM3VmlNC5c2eo1WqUlZU5lJeVlSExMdGpvl6vh16v5zRMC41wgZ0ZOB5QWkErRpJrBR1swoV+YPtBZ8ZjbfDEh5m3v7DlbIOrdT3UmfH6vnGVhzozUsvtqJ0ZRbbXi50Zj5z/bq5fdhsu7FzVCrpW3w9a2AS7ZF3ZbWDNi3BehiFSpWhnJtgpvid1Oh0GDRqEvLw8scxutyMvLw/p6elKr44QQggJODZmV/wRzDxymyk3NxfZ2dkYPHgwrrrqKixbtgx1dXUYO3asJ1ZHCCGEkCDmkc7MXXfdhYqKCsyePRulpaUYOHAgtm7d6hQU7DFtL+kpdbnUU5dd5dyv9lQb3I1z8OY9d0/Fm7hLzv7yVJyDp94zb+5zb26Dt29zeTPuzlPxXnJ487iR8xnWurz1/wXBtX3h8jEqSN79soPBruDtZiWXFYg8FgA8adIkTJo0yVOLJ4QQQggB4AfZTIQQQkiwscMOJaNclF1a4KHODCGEEOJlNsZgU/A2nJLLCkSUF0YIIYSQgEZXZgghhBAvowBgZflvZ6ZtVLk/XELz1Cim3hx5VnIZvIt0Mu7BymkDd10SeGMnSGZ6OS9XUMlol1rtVKTiDOgIAEJYqFMZ62Tg1rV2CnMqs4XyTz2V2Xl7NVUN/Lpnqp3K7Maz3LrManUutLk+nDqzu3v+eepY8lBdd3nqnJQzlojK+XiWXhWnvZzzAQAEXrlUXd5+4NWVc57KOf81/Hax6MiWVYe2DM5qHToQ1kaLQ93ai3ROr2+M5bdB5fhS2MyNwOuf8NtLFOW/nRlCCCGkg7KDwUZXZhRDnRlCCCHEy+g2k7IoAJgQQgghAY2uzBBCCCFeRqnZyvLfzgxjcBgH2h9m1w20AEI55AQWuhqYKBXoK6eunGBhD2ASHxDceaElgiB5wb6WSH5dlcV5e1UW5wBEAFDVhzi3y2zm1kWD83bwgnqZjKBgRbgb5OrqMqWWK6eup0h+CbnYBh+fI+3inRMa5/NBULu+DVLnpERlbrHQ2HKetP6o1f5ZD3ubAOBIm/Mywsr47VVZHetarSZXW0rc5L+dGUIIIaSDskNWjp9LywtmftylV84f9qu4/yeEEEJ8wXYum0nJRzALis4MIYQQQjouv73NpA/TQyu0DGZ0ITEkzVdhzGFpYpk5LA1nzv3/ItV+d5oYvLwZM+MmdwfNg07rXAZAFeocx2IPlagb4lyu1kvEzKicf13pQ/gXkNWc9TGJ+BomcJZhcW6Dx2JmpGJQKGbG/cE4FTh35AyaB158i9SgeZz4GG7MjMozMTPcQfsAoNX5q291Hul55yqnzKaTiJnRtImZsUifTzbW9FCKkssKRAKTFU3leUajEVFRUaipqYHBwB9RlRBCCPF3vO+z5rIffoxHZKRyP+LOnrWjf1p50H53+u2VGUIIIaSjogBgZfltZ+ZvyeOhFVpdMr+AS7GtbzMdrhgBAOgblwdd/Y8APHybiddef0gvV4K7t5m8SPI2E69tvLoSc7sIYc7zLSEqglvX1jnSqcxs4N8OEjjp0rpqfnqnqqrWubBGYm6mhkbnQivnErgS8zV56haNJ447Obe/5C7D12RsA/c8kXq9lnNOSHy2CaGc4QPUnK8dPf984C6Xd9wC/GNX6nuj1a0ufagWHxY+BwC468o5MDU4pmYzHae9UqnkNsdjwWILjNTsF154ATNnzsTkyZOxbNkyAMDQoUOxZ88eh3r/+Mc/sGrVKvHvoqIiPPzww9i1axciIiKQnZ2NBQsWQNNq/+7evRu5ubk4cuQIUlJSMGvWLDzwwAMOy125ciUWLVqE0tJSDBgwAK+88gquukpeso7fdmZM9WbYhFYH4gV0ZmLxPwA4FyPT1JnR1f+I2Mamcs7Hu3KoM9MhOjPce/4ABN6po7M4lwFOE9cBgFkv8eHP6SC0HfeimbqBU17PH2eGNTiXe2zySerM+AcPdWYELefYl+rMMN7kj5z9JbULPdaZ4a/Q1GCBqc25wnjBKC52Zqw2/rkLAHYIsHFHrLow9gtc1oEDB/D666+jf//+Ts+NHz8e8+fPF/8Oa/UjzmazISsrC4mJidi7dy9KSkpw//33Q6vV4vnnnwcAnDhxAllZWZg4cSLWrl2LvLw8PPTQQ0hKSkJmZiYA4MMPP0Rubi5WrVqFIUOGYNmyZcjMzMTRo0cRHx/v8nb4/tuGEEIICTJ2pvxDrtraWowZMwZvvvkmOnXq5PR8WFgYEhMTxUfrWJzt27fjxx9/xPvvv4+BAwdi1KhReOaZZ7By5UqYzw3euWrVKqSmpmLx4sXo06cPJk2ahDvuuANLly4Vl7NkyRKMHz8eY8eORVpaGlatWoWwsDC88847srYlKDozrW8nUQYTIYQQAuTk5CArKwsZGRnc59euXYvOnTujb9++mDlzJurr68Xn8vPz0a9fPyQkJIhlmZmZMBqNOHLkiFin7bIzMzORn58PADCbzSgoKHCoo1KpkJGRIdZxld/eZvL5dAbupoyqOPeVlbgc7e7lbyVSUT1xaV9GuwSplFHuyyWGM+ctgldX6raLyfleuFDLb5eGE3cjWCX2N+dyv8rEuR0EQLA5L4NJ7UdXU1+VOD7cvb3ozXV5+5aUHO5+Xsg4z3jnCfccAT99X9BJxLzwaDlDCvBuXQEAr9wicT7wyk0St10tLbd/mKbVOdfQCLS5zSSYObeK7Pz3hrW9BWaXmF4EgE3h20zNyzIajQ7ler0eer3eqf769evx7bff4sCBA9zl3XvvvejWrRuSk5Pxww8/YMaMGTh69Cg+/vhjAEBpaalDRwaA+HdpaWm7dYxGIxoaGlBVVQWbzcat8/PPP7u66QD8uTNDCCGEEFlSUlIc/p4zZw7mzp3rUHb69GlMnjwZO3bsQEiIc5A2AEyYMEH8f79+/ZCUlIQRI0bg+PHj6NGjh+Ltdhd1ZgghhBAv89SVmdOnTzvEtvCuyhQUFKC8vBxXXHFFy+ttNnz55ZdYsWIFTCYT1G2ugA8ZMgQA8Ouvv6JHjx5ITEzE/v2OYRtlZWUAgMTERPHf5rLWdQwGA0JDQ6FWq6FWq7l1mpfhqqCImSGEEEL8iZ0Jij8AwGAwODx4nZkRI0bg0KFDKCwsFB+DBw/GmDFjUFhY6NSRAYDCwkIAQFJSEgAgPT0dhw4dQnl5uVhnx44dMBgMSEtLE+vk5eU5LGfHjh1IT08HAOh0OgwaNMihjt1uR15enljHVXRlhhBCCAkikZGR6Nu3r0NZeHg4YmNj0bdvXxw/fhzr1q3DzTffjNjYWPzwww+YOnUqrr/+ejGFe+TIkUhLS8N9992HhQsXorS0FLNmzUJOTo7YgZo4cSJWrFiB6dOn48EHH8TOnTuxYcMGbNmyRVxvbm4usrOzMXjwYFx11VVYtmwZ6urqMHbsWFnbRJ0ZQvycxm5DmMWKj356EQAwvN8ziLdXopYBVqkoTUKIX/PUbSYl6HQ6fPHFF2LHIiUlBaNHj8asWbPEOmq1Gps3b8bDDz+M9PR0hIeHIzs722FcmtTUVGzZsgVTp07F8uXL0aVLF7z11lviGDMAcNddd6GiogKzZ89GaWkpBg4ciK1btzoFBZ+P/3ZmBMG3g8x5IpNADi9P0sjLEJIcFM3tlXEG0pIY3I7ZnetKZyhxsoZU7r0PklOX8bKcGvmjfQpG523QmPiDabE2g3FpmA1PFf8HcaY6fISmzkx8TQUWl7yHU+oYPB97s2OHhjcQXqBxc7A3bx63HuXq+jyVZSX5GcbpQEtk9/BfzmmXRDYTE7TYfmQeAGB43/nQqC2ItdbBqA6FtW3GKO99l/oOaZ0J2OocZzar82CSvIwoqX3Ttg1MOpvJ3+zevVv8f0pKitPovzzdunXDZ5991m6doUOH4rvvvmu3zqRJkzBp0iSX2imFYmYI8WNhFhviTHUwtPqAnVn8GaIsFsSbGxBp9+g41oT4jIbZMKPoPw5lceYavHTiPTz1+8fQ2D00w7uX2KBS/BHMgnvrCfFzG08uRS9rMRLQEmQ3wPorIlCHnvYSVKnDfdg679IwG2JYg0NZDGuAhgX2lxpxZrVrEWa2oXNjnVjWs7YCc3/9N6IsZnRrrIDB1tDOEkiwoc4MIcTvaZgNT9v3Yqk9D3Gs6QsujtVhifULzLLtpQ5NB5P38zxsPP4SBliOiWVvnHwFvSx/IAJ1mNF9DCq1/IldAwVTOJOJsQ4y998Fos4MIX5sRM9ZuLvrP/G9pqdYVoZ4HNMk4+74iT5smXcZYEZ31CAZdXjJvguXsQq8ZN+FZNShO6uGAYETm0DcV6GL8nUT3NYcAKzkI5j5bwBw2+kMpHhq2gAeTwXlcu/9uh/Up8Sw/y6vS0Ygprt1/QInAJiZJb5QeccHb4h0wGk6g3hbHRZXboLB1hIzc1alRk9rCRb/+QEej/4/VLa+1SR17MuYDZuHO9y9ZNC28gG4lUIoHlcNEzswy+w7AQDFCMc0zXBUCqGKro977nh5dmyX96M/TMkgGSjPWR9v2gG943QIIy6ZDQCItlnx7+NNMzCXIR7hqEOJJhrzzLehQtumQ8Nrg1S7Wn/mtv6/ze7cZt65LnU+tVkfYx0gID9A0JUZQvyYURWCk5oYlKpaRvScFftXlKgNOKXpBKOKPxR5R1QhhGOhaohD2UL11agQgiduKFhoVBbE26vwQtG7Ytn87rehRqdDT2sxXjy5DjGWWh+20H02plL8Ecz898oMIQRWQY3nO92ESHsjblI3pS5WQ4/HYm+H0a4JqnFm4lgdptu/cSibbtuHacJw6tB0QEZ1KIr0ccC5i5g/hXfB9NT7sPC3f+GUPg5GjbJX40hgo84MIX7OKqidspaq1OFBdQk7hjWIt5iK0XSFZrr9GySjDousO5GryVD8VhPxLaugxuJuN+Nu2xRUaiMBNMXKPN79Phg1oQHfkbdDgF3BmyN2V8IyOjDqzBBC/J4ROpxEU4zE46phqBDCxRiak0I0jNCdZwkkEFlValSqIh3KAj2LqZk/jwAciKgzQwjxe1ZBjWdU18AAs3gFpkIIR64mA0boAv5XOiHEPf7bmXFnOoO2kflKDUPuqUwATkaWnEwRyYwfWcPCK5+pIScTSYltaJsJ1ETiS463HznDrEtOZ8AjkeHAXQIvywOAwDnmpVrAbZtUlgVvuHletozEMe4PWWVWQY1KON5KOsPOBUC78D65vQ1uH4vg73NJbo6dw3kvpTIc+dk5rp87EPjHjdPUAABgcp72Q9BIrIvTLkHi3HHlGDgvm81pndxtkJi+oe05ydrJgFM6aNemxPYHsOAOfyaEEEJIwPPfKzOEEEJIB9UUAKzcFU8llxWIqDNDCCGEeJld4ckhgz2biW4zEUIIISSgBf6VGVeGGG+vjlLBwW7gBeVJDZfNDWJUJDDRA/tBThCknGBhOYHhKontcjH5RXJdvGA7iaBAbl05wcJyuBiY2FToetC3J6Yo8BRZgb5S5w5nGZLHAu8YkzoW1JwAb6lgcBe3Q/K94WybEnX5yQIS+9HCmbaDF2hf38hfF6cupKZp4U47IPE+tN62Vv9njLkU9C9Zp+0+a2dZFACsLNl78ssvv8Qtt9yC5ORkCIKATz75xOF5xhhmz56NpKQkhIaGIiMjA8eOHeMvjHiNjemxw7wWOxrfh43pfd0cQgghRDGyOzN1dXUYMGAAVq5cyX1+4cKFePnll7Fq1Sp88803CA8PR2ZmJhob+T1vQgghJNjYoVL8Ecxk32YaNWoURo0axX2OMYZly5Zh1qxZuPXWWwEA7733HhISEvDJJ5/g7rvvdq+1RDYb00PNbIhsdQPDBj062RuaRk1VBc+Q+IQQQjomRWNmTpw4gdLSUmRkZIhlUVFRGDJkCPLz87mdGZPJBFOrQZSMRqOSTQp6Oy3vOJXtMb0q/n+U/h4aPZUQQrzMxgTYmILTGSi4rECkaGemtLQUAJCQkOBQnpCQID7X1oIFCzBv3jznJxiDS+GQvKC89kYAFlSOf3tqVF/uIqWCSTkjdSoxqi8veK4NA8xNo6p6YIRXyYBJrZudJ4nlckc3lQoWdHd7OcGR3JFCAX4wqGQAoYygXG4QcoAFAfLOPzfPPenAVTffc8lgchnHHef9lWoVsyo/Kreczzs5+0vy2OftBwunrlSgrobzFSX52cgplxwt2M7/v4vLlfpsc4rnbaeDYVM4NdtGqdm+NXPmTNTU1IiP06dP+7pJHcrwkIdwl+4efI9Uh/LvkYq/6e6mmYYJIYQEPEWvzCQmJgIAysrKkJSUJJaXlZVh4MCB3Nfo9Xro9ZRd4ykawYQKVThWagYDrX4QrdBeiT+FcIABasF5rhRCCCGeY2cq2BVMzbYHeWq2op2Z1NRUJCYmIi8vT+y8GI1GfPPNN3j44YeVXBWRYWfjW9jZpuxNywbx/zeG/N27DSKEEEIUJLszU1tbi19//VX8+8SJEygsLERMTAy6du2KKVOm4Nlnn0WvXr2QmpqKp59+GsnJybjtttuUbDdxUQyr93UTCCGEtEExM8qS3Zk5ePAghg0bJv6dm5sLAMjOzsaaNWswffp01NXVYcKECaiursZ1112HrVu3IiQkRLlWE5cZoUeecAm6sho8obsZ/zavBtAUM1MhaPGi9hoft5CQDsiuxvbaNwEAwyMnQiOYEWOvh5FpKXuQAADsUDYDyQPh4gFFdmdm6NCh7Q73LAgC5s+fj/nz57vVMAiCZNaKY73zR+G3G5UvJ3PCzcwnOUPCy8q8kGgXYwIsUOEl3SAYYEZVq18B83XpqBcYIEiPMyNr2gAeqewP3nIl6nIzsqT2NyfzQdBIfHHwsiR4daWyi0xm5zKp7DFOpgfjZXT4MVmZLbzj3M6fvgEqzj6XMc0Cl8TxwWuXJ/oVGmbDY417sV1chwrxrB4v1n+GU6poPBs6zLFDI/V5ytsOGZmP3PdBxued5JQqUplaPC5m/UlmB/Gyv+SsX2rftMpycpjywG53PuflxKLImM6AKCvw52Yi52UV1E3p163OqyohlAJ/CVGYlelgsDegs62ls9vTYsTj9bsRxWzoxqphYCZUCmE+bCXxB0qP2ksjAJOgoRZMFOxLiAftPLsKAPBRq7LX697H6+f+Pyb8b6hUUUeGEKVRZ4YQQrykQhXh6yYQP6H8rNl0ZYYQQogChkdOBADEwI6Pzr4BAChDPMJRhxIhEnPt11OHhgAA7BBglxz/+cKWF8z8tzPj8nQGnJe2CcJqL/BWMnhOIviNX1n5gEXpIdllrIu3DTKC59oL9G7L3WBhydfzAhYlAm0Fnda5UMs/xBmvrlSwMG9dnP0omC38dVmcywWpQEzOeyYZiMl5fxhkHLd21wJMFcEL9JXLxYBY6ZdzPyz4lXn7RmoTWgWMatCIGHs9nmn4Eh+hqTPzTNhfMLNxB3ray7CwbiseC7/ZtVtNvPZy2iXrs0oOOcHCcj6veNsg8VkvcBIDJKdO4E5nwK/q2J7zHEOc5+V8NhLvCO7rUoQQojCjoEeRKlr8+ydNPGaEj0KxKhKn1NEwCjTiOWm5zaTkI5j575UZQnzFqsK2o88AAEb0mQuNyoIYSy2M6lBYlbjCQDo0q6DGkvCrcQ+7R7wCUyFE4PHwLNRAR+PMEOIBwd2VI6QNjd2G6X/816EszlyDl068h6d+/xgaqfFSCGnFKqidbiVVqsKoI0NEzSMAK/kIZsG99YS0YrVrEWaxoXNjyxQQPesqMOfEJkRZzOjWWAGDrcGHLSSEEMJDt5kIOSfvp7kAgI1YJJa9XrQSr2MlAODv3SehUkuZKITwaJgNBphRKYSKZTGsAUa6tcZlZwLsSk5noOCyApH/dmbaTmfgoehxyUwAd6c5cDPzQnKKAl6WhQRu9oac7ZUxfQMv9kyQyhLgZShIZezwCqWmDeAtg5e1dIEq9NHi/xmnDdypFwAIVuet4L0eAHcbpIZv5+0zOXVdzZZpWoB7WUNypvKQc+7JGdqeO52BnGlD5BzPUhk3cpbL4+50Bh6iFeyYZc9Hd1aNaZrhqBDCEcfqsMi6EyeFaDyrvqalQ+Pq5yUkpv2Q2F5Z0xw4rOQ8+4nz/kp9tjl9DrbTwbArfGso2EcADu6tJ6SV4ZfNx/DL5mN0jyfFsjLEoxbhOKa5CHHmGh+2jhD/ZYAZ3Vk1ktHUgUmzV2CRdSeSUYfurBoGcOYyI37jhRdegCAImDJliljW2NiInJwcxMbGIiIiAqNHj0ZZWZnD64qKipCVlYWwsDDEx8dj2rRpsLbpyO/evRtXXHEF9Ho9evbsiTVr1jitf+XKlejevTtCQkIwZMgQ7N+/X/Y2UGeGkHM0KgvibZV4oehdseyZbreiRqtDT2sxXjzxPmIsZ33YQkL8U6UQimma4ShGOJJRh2W2PCSjDsUIxzTNcIdbT6SJnakUf1yIAwcO4PXXX0f//v0dyqdOnYpPP/0UGzduxJ49e1BcXIzbb79dfN5msyErKwtmsxl79+7Fu+++izVr1mD27NlinRMnTiArKwvDhg1DYWEhpkyZgoceegjbtm0T63z44YfIzc3FnDlz8O2332LAgAHIzMxEeXm5rO2gzgwhrRjVYSjSx4l//xTeBTNS/45ibTROhcTBqKZ5dQjhqRDCsVB9tUPZQvXVqBDCfdQicj61tbUYM2YM3nzzTXTq1Eksr6mpwdtvv40lS5Zg+PDhGDRoEFavXo29e/di3759AIDt27fjxx9/xPvvv4+BAwdi1KhReOaZZ7By5UqYzU1X4latWoXU1FQsXrwYffr0waRJk3DHHXdg6dKl4rqWLFmC8ePHY+zYsUhLS8OqVasQFhaGd955R9a2UGeGkFasKjUWd7sZd/eegpH9noZGZUGFLgqPX3w/nksZTePMECIhjtVhum2fQ9l02z7EsToftci/2SAo/pArJycHWVlZyMjIcCgvKCiAxWJxKO/duze6du2K/Px8AEB+fj769euHhIQEsU5mZiaMRiOOHDki1mm77MzMTHEZZrMZBQUFDnVUKhUyMjLEOq7y3wBgF3kz2NBtSqxLTvCcjP0ga5oEXhvkDFHu+prAOMF3MEncf+cE8kmtS7A6BwYL1qYgWTuAamihsjSKz1VBB1itEHDufjAvoNbKD2JmNs7+kgo6lBOQyludxLQQvOBIl4OCAenAYBdJJrPICCzmHc/yjnEZ+5bTLiY1xJCb035IDo3vZgAv97NRgYQH3j6PFRrFGJliNF2hmW7bJ8bQTFWNEG81yZpWgtcuiW3gBnhLBdq31vp1Nrt0kkTrdbn6nrVzbLhza0hqeQBgNBodyvV6PfR651Gn169fj2+//RYHDhxweq60tBQ6nQ7R0dEO5QkJCSgtLRXrtO7IND/f/Fx7dYxGIxoaGlBVVQWbzcat8/PPP59vkx3QlRlCCCFuqWSRuAi1EMAwVT0KP6rixBiak4iCETpfNzFopKSkICoqSnwsWLDAqc7p06cxefJkrF27FiEhIT5opfIC/soMIYQQ37K1uvT2pxAONUyoEMIxVTWCxpmRYAMu6NZQe8sDmjoqBoNBLOddlSkoKEB5eTmuuOKKltfbbPjyyy+xYsUKbNu2DWazGdXV1Q5XZ8rKypCYmAgASExMdMo6as52al2nbQZUWVkZDAYDQkNDoVaroVaruXWal+EqujJDCCHkgtiYvumBli9MG/RieaUQSh0ZLzMYDA4PXmdmxIgROHToEAoLC8XH4MGDMWbMGPH/Wq0WeXl54muOHj2KoqIipKenAwDS09Nx6NAhh6yjHTt2wGAwIC0tTazTehnNdZqXodPpMGjQIIc6drsdeXl5Yh1X0ZUZQgghF2SX/dwwBq1CXvZYXxf/n6G+28stChyeiplxRWRkJPr27etQFh4ejtjYWLF83LhxyM3NRUxMDAwGAx599FGkp6fj6qubMtZGjhyJtLQ03HfffVi4cCFKS0sxa9Ys5OTkiB2oiRMnYsWKFZg+fToefPBB7Ny5Exs2bMCWLVvE9ebm5iI7OxuDBw/GVVddhWXLlqGurg5jx46Vtf3UmSGEEEK8zMZUsCnYmVFyWQCwdOlSqFQqjB49GiaTCZmZmXj11VfF59VqNTZv3oyHH34Y6enpCA8PR3Z2NubPny/WSU1NxZYtWzB16lQsX74cXbp0wVtvvYXMzEyxzl133YWKigrMnj0bpaWlGDhwILZu3eoUFHw+ApMMy/YNo9GIqKgoDBVug0ZolXEimf1x/kuYIWF6fGps+gVxS+R9aKw3tTwpFcUvI2uodV0Ns8MAE2d+Ej2sKg/1HSUyAbgZLBIZEnKywlzOClFi33LWJTlsOaeclz0CgD/NgbvZZlIzavP2o1RGhpzTkbcMqWHW3T3N5WTWyHl/XX29h0ge47xjTE7GjRJc3A/enLagLRtr+gVuV4WIV2Ru0PwDajR9xqpYo9Nr3M1AlZWVJvVZ0Wp9IWF6/LeqaUyT/4sd5/j9IFeb7bAyC3ZZNqKmpkaMY2n+jpuZfxNCIpSbbqWx1oIF6Vsd1hVMKGZGQRpmx9MsH0vZLsSxppmX41g9lrJdeJrlQyOZ20kIIYFHLZiaHmjpAKhhEsuJNAYBdgUfTMFg4kBEnRkFGWBCd9QgGXV4ie3GZexPvMR2N81Pghqan4QQQgjxAIqZUVClEIrHMVTswCxjuwAAxQjH48JQmp+EENIhqQUTbtTe4+tmBBR/j5kJNMG99R5QIYRhoXCVQ9lC4SpUCDSnDyGEEOIJwXdlRlA5BuzJCTZ0IQAwjtVhOnMcSGg624/HMRQVQoS85bpKajoDXoCoF6dvkBo6XVYAH3cIeyunIvgBsVIBwFbOMnjBghIBteBNsyBVl0dyOHTOMnjrkqjrqaHxuceoZHClZ4J9ucPVyzmWOCRf76kgZDeX68tg3/bIaZe72yArMUFqXa3fh9b/tzPn18hZrgx2JsDOlItzUXJZgYiuzCgohjXgJfsucX6SKcIwFCNcjKGJYQ2+biIhhBA/YINK8UcwC+6tV5gROpxElBgjc0TojMeFoTQ/CSGEEOJBwXebyYOsghrPqK6BAWZUnhveu0IIw1QMaxpnhob1JoQQArrNpDS6MqMwq6B2ylpqmp+EdjUhHYmG2ZxuHcewBhpPihAfoG9YQgiRScNsmGXbiyXWLxDH6gA0Bf8vsezALOtX1KEh52WHSvFHMPPf20yMAWgVMS6VleJKdkDbyPXWfytxxcTV4duVyJCQs1wZ2+bNbASJhfLLZe1HzvQNEtk9Ai9rSE42kkSmlis0zIZIxpvyQgcbZ8oLZpHI3vIEOceoG/vgQsiaYsBFFzplhwFmdGfVSEYdFlm+wEL11Zhu24dk1AGMIdLWwB1XSk72lavZW/6a4QTAM1NbeHJqjLbfDwA/O0+Bz1wbE2BT8NaQkssKRMHdlSPEyzTMhlnm/2GJebvjL3rzdsyy0C/6QFEphGKaZriYrbjMlidmMU7TDKcBMgnxMurMEOJFBpjQjVUjmdVikfkLpNnLscj8BZJZLbqzahhA89kEigohHAvVVzuULVRfjQoh3EctIoGkOQBYyUcwo84MIV5UKYRhuu5GFAsRSGa1eM78NS5iZyGAYao2C5U0UnTAiGN1mG7b51A23bZPvOJGCPEe6swQ4mUVqnAs1KY7lf9Jv+hlszE9dlg+wA7LB7AxvdfWG8MasMi6s2WATPUI8ZbTIutOGiCTnBdjKtgVfLAgn5vJfwOABUE66NehnpuBtt4ctlwqOMzdIDcvp327GsSoSGCinPdHThCzD8/7OFaHSebvUYcw1KGlAxNts6LargXQNHHfBfHU8ewPXN02OeeZrNW3HF81TIuTiAIATNMMR4UQjmnCcCyy7sRJIVpygEx/Ddb1WGCxJz6bJN5HJmcaDYfXnWc7O/I51YH4b2eGkA4ohjVgkfkLXISzTs99bH1X/P+NujHebFbAsTE91MyGyFYZjzbo0cneAKOgA1SezQBrPUBm1blbgxVCOHI1GTBCB2uQ/0om52eDABsUzGZScFmBiDozhHiRETqcFKIdRh0g8u20rnEq22N9Xfz/KO3dHh9x2yqoUYlQh68QMYtJasJPQs5pmtNSyRGAFVtUQKLODCFeZBXUeFZ7HUbb7kGVEAob9NhjeQ0AMFwzARC8OKZMB9Y0pQilRxMSLKgzQ4iXWQU1jCoGNUyOV2gE64XHygSZ4ZoH0JnV4SnbQQzACQBAGeJhBPCUZhiN80L8XnPgrpLLC2bBvfWEkICkFkyoUmnwuuoysSwcdVih7o8qzijKhJCOLfDPelcygXwxyaM3s5EUGFpbTjaDq1kOcoZuV4ScrDBP3GC+gO1VC6bzB/tKLdcT23ABmUAaZmu6rdN8NURQidMziHErHsgIiWN1mGrfj1dblU237cM0YTh34DpXpweQy93lyplSgfGmkHDzPG+vDT7nqWlhJDA7c9oX8jK9HN8f1s6I3nYIsCsYtKvksgKRrG/RBQsW4Morr0RkZCTi4+Nx22234ejRow51GhsbkZOTg9jYWERERGD06NEoKytTtNGEEP/gqwkXm8d56YkK/IEITFZnoAYCjfNCAkbz3ExKPoKZrM7Mnj17kJOTg3379mHHjh2wWCwYOXIk6upaRrycOnUqPv30U2zcuBF79uxBcXExbr/9dsUbTgjxPYcJF607kWavwCJLHpJRi+6sBgaYPbLe5qyw5rmQflTFiXMltTfOCyGkY5J1m2nr1q0Of69Zswbx8fEoKCjA9ddfj5qaGrz99ttYt24dhg8fDgBYvXo1+vTpg3379uHqq6/mLZYQEqCaJ1xsHg13mS0PAFCMCEzTjvBYIK5VUONZ9TUOt7ccxnnxcFo2Ie6iAGBlubX1NTU1AICYmBgAQEFBASwWCzIyMsQ6vXv3RteuXZGfn89dhslkgtFodHgQQgIHd8JFTbrHJ1y0CmqnzlKlEEodGUKC0AUHANvtdkyZMgXXXnst+vbtCwAoLS2FTqdDdHS0Q92EhASUlpZyl7NgwQLMmzfv/CuUGoTKlSkPHOqrlA8IdjUgTYnANS8GM7sbLCgnsFEWDw1XLyuAmLcNUvuFV1fOPpBaroLD8zcTVPKXyZ1w0bpXHOZfiXY1tc17MQHuBsRKvl7GMeZusC9vXZIhTHICbd2t6y4vJ3S4E+AtMAGQ2DV2KDvTNQUAX6CcnBwcPnwY69evd6sBM2fORE1Njfg4ffq0W8sjhHgPTbhIyIVh57KZlHqwIO/MXNCVmUmTJmHz5s348ssv0aVLF7E8MTERZrMZ1dXVDldnysrKkJiYyF2WXq+HXu+92W4J8SUb02On6W0AwHD9uIAfJK/19AxyJlwkhBAlyerMMMbw6KOPYtOmTdi9ezdSU1Mdnh80aBC0Wi3y8vIwevRoAMDRo0dRVFSE9PR05VpNCPELFIhLyIWxM4VvMwV5araszkxOTg7WrVuH//znP4iMjBTjYKKiohAaGoqoqCiMGzcOubm5iImJgcFgwKOPPor09HTKZCJBzcaarj7a0HIV0ga9OJ0B7wqNOBgdQsQyp8Ho/EDzhIut0XQChBBvktWZee21pgnxhg4d6lC+evVqPPDAAwCApUuXQqVSYfTo0TCZTMjMzMSrr74K2RiDw8Q1UoG+coPBmN0xWM3NgDo5BDX/C8jt0TcVCIiTE+Tm9ZF92/JUsKGc18t8z5pvLbW2x9RyXrQdBVjDbJhl/QrdWQ2maYahQghHHKsTb988q74GVpXWeUUS+8YTo98qEagr59h3dRtkjajr5W3w2Gjfrq7L3ddLVfXUZ5scMoKrW7+/532veYHUdtf2DWtn9nRKzVaW7NtM5xMSEoKVK1di5cqVF9woQoJd02B0NUhGLRZZd2Kh+mpMt+1DMuoA1jwrNKczQwghQSjw52YiJAAM148D0HRrqfmKzA3ah5tmzuaoFEIxTTtCHE23ZTC6phFv6TYOIYGNYmaUFdzXpQjxErVganq06ryoYRLLeSqEcCzUOAbOL1Rf7fHB6AghnqdkWrbSk1YGIurMEOKn4lgdplsdR86ebtsnTuhICCGkCXVmCPEitWDCjSF/x426Me2OMRPDGsRbTDQYHSEdT/NtJiUfwSzgY2bkZCgAgKDRQtC0RKdzhwyXXpnLbZD3etczDNzNSvGHoeJlZXTImTbA1ddL8VTmxQUst2kwuqimwei0I5oGo1NlYJElDyeFKBiFEFmZKXLPE3d4M4PF3XV56riXnApEzueN6yvjlysxfYqLZL0PcqYNkVNXRvZW62wkh7a3zXZtb33Er9C7RIgfsgpqPKu5DrnaG8UYmQohHLnaG/Gs5jq/GmeGECKfr6/MvPbaa+jfvz8MBgMMBgPS09Px+eefi88PHToUgiA4PCZOnOiwjKKiImRlZSEsLAzx8fGYNm0arFarQ53du3fjiiuugF6vR8+ePbFmzRqntqxcuRLdu3dHSEgIhgwZgv3798vaFoA6M4T4LZoVmpCOy9edmS5duuCFF15AQUEBDh48iOHDh+PWW2/FkSNHxDrjx49HSUmJ+Fi4cKH4nM1mQ1ZWFsxmM/bu3Yt3330Xa9aswezZs8U6J06cQFZWFoYNG4bCwkJMmTIFDz30ELZt2ybW+fDDD5Gbm4s5c+bg22+/xYABA5CZmYny8nJZ20OdGUIIISTI3HLLLbj55pvRq1cvXHLJJXjuuecQERGBffv2iXXCwsKQmJgoPgwGg/jc9u3b8eOPP+L999/HwIEDMWrUKDzzzDNYuXIlzGYzAGDVqlVITU3F4sWL0adPH0yaNAl33HEHli5dKi5nyZIlGD9+PMaOHYu0tDSsWrUKYWFheOedd2RtD3VmCCGEEC/z9ZWZ1mw2G9avX4+6ujqHeRTXrl2Lzp07o2/fvpg5cybq6+vF5/Lz89GvXz8kJCSIZZmZmTAajeLVnfz8fGRkZDisKzMzE/n5TVmaZrMZBQUFDnVUKhUyMjLEOq4KnABgqdGHOcFZglZo87f0ZkoGALob9CUrsJBz20AyUJc3tLbrQb0eC/Tl7S9PrUtqmgWpKS9cxODFodclG+GhoE3u8eyBYFS55AR4csg6nuUco7xzSuK98WZwtdtkJDF4bKoHbwbUyl2XoAr4gF+j0ejwt16vh16v59Y9dOgQ0tPT0djYiIiICGzatAlpaWkAgHvvvRfdunVDcnIyfvjhB8yYMQNHjx7Fxx9/DAAoLS116MgAEP9unrdRqo7RaERDQwOqqqpgs9m4dX7++WdZ2x04nRlCCCGkg2CAogPdNXcbU1JSHMrnzJmDuXPncl9z6aWXorCwEDU1Nfjoo4+QnZ2NPXv2IC0tDRMmTBDr9evXD0lJSRgxYgSOHz+OHj16KNZupVBnhgSFphmoTShHJ+xsfAsAcIf+XtQLoIBaQojXeWo6g9OnTzvEtkhdlQEAnU6Hnj17AgAGDRqEAwcOYPny5Xj99ded6g4ZMgQA8Ouvv6JHjx5ITEx0yjoqKysDACQmJor/Npe1rmMwGBAaGgq1Wg21Ws2t07wMVwX29TRCXKBhNswy/w+LTdsRZ28ZPXeBKQ+zzP+DhvnB7RZCCFFAc6p186O9zkxbdrsdJhN/MM/CwkIAQFJSEgAgPT0dhw4dcsg62rFjBwwGg3irKj09HXl5eQ7L2bFjhxiXo9PpMGjQIIc6drsdeXl5DrE7rqArM6TDM8CEOLsZUbDjSfM+fCiWM8BuRhgDjME9eCYhxMt8PdHkzJkzMWrUKHTt2hVnz57FunXrsHv3bmzbtg3Hjx/HunXrcPPNNyM2NhY//PADpk6diuuvvx79+/cHAIwcORJpaWm47777sHDhQpSWlmLWrFnIyckRO1ATJ07EihUrMH36dDz44IPYuXMnNmzYgC1btojtyM3NRXZ2NgYPHoyrrroKy5YtQ11dHcaOHStre6gzQzq8SiEMvVDmVJ6Ac78oTMDI0Pu83CpCCPGd8vJy3H///SgpKUFUVBT69++Pbdu24cYbb8Tp06fxxRdfiB2LlJQUjB49GrNmzRJfr1arsXnzZjz88MNIT09HeHg4srOzMX/+fLFOamoqtmzZgqlTp2L58uXo0qUL3nrrLWRmZop17rrrLlRUVGD27NkoLS3FwIEDsXXrVqeg4PMJnM6MVKYKL2Onbd3Wf6tVENSthrKW6M3yMmOYREYVN4tG5d4dPCaVaWLnZG/JmA5BFqmoflf2OSC9D9zMOpJFKguuLZWKG4on9Z67PfWBh7KWpLNofHwrTWp7PZC5JGgkPtbknJMCJ2tQ6pevu1OiuHssyNm3Lgzvf/7VcaZUUfPjzuRkX0oswPW6AcbXV2befvttyedSUlKwZ8+e8y6jW7du+Oyzz9qtM3ToUHz33Xft1pk0aRImTZp03vW1p+MeKYS0clfIvTiGBJQhXiz7Hqm4K+ReDA8b78OWEUIIcRd1ZkiHF2OvxxLTp+iJchhbXX/pgXIsMX2KeFbtu8YRQoKSPw2a1xEEzm0mQi6QUdDjlCoasAOz9COAxqbyEkSgQqWDUXA92p8QQpTAmCB96/IClxfMqDNDOjyroMaz+htgYCZUqbQYGZ4NAHjafj2Mgp7GmSGEkADnv50ZQXApUNSlwNPWgYMqweF5OX1ZqbqSAYcu4gaZygkqlOKhKRm4wX6c90FyGgne/pIIIOQG2tol9g1nnzFL03T0VkGDyjaHe6U6nL+cC+XloF45w8q7PeS+m9MOKDGMPhfvuNFq+etSy2gvrw3nJs9ry+2JC6T2o6vHk5zXe2qqCOmFcIrcm5JFzvHhyjZ4bIqX87BDUHQEYCWXFYiCI2bG3vIlZmM6AE1xFDRYGiGEEBL4/PfKjEI0zIZc016Hsjh7LRY2bscpVTSe1d9AtxkIIYR4la9TszuaDt2ZsTIdDPYGxMIill1sq8Xkhq8QBTu62athYCZUCmE+bCUhhJBgQwHAyurQnZmd9W8CAD4LA5pn5HnH9C5WnPv/mJDRqFRRR4YQQggJZB26M3M+FaoIjy1bw2wIswMba9cAAEYYHkY8q6bsGUIIIXSbSWEB35nhZQI1v6XNI7smhqgANE1pfgLdEY4KlCACc+3XoUId6fK6pIbsbptRoWE2PFW3G3GWRmw8VxanMuEl4xac0sTgucgMhw6NcC7jpr1lNuNPc+B+50jOdATc7C2dcwaJEBLCfT0L5YzrIjXUPCdDSTBZOBUBxsk2kTq9mY2T6eFuVpm7WSkycbM6FBiu3m0ysmjcHdqedywKeh3/5Zy6ktNVWDnnJK9Mql0SU4zI2l4X1yWnrlTmDrddMo5nqUwx7nkmY3/xSGYfKTBVhKASnJbvVtafh8594qxDZzNpBDPiWTXmN24Xy17QD0GNoEJPlGNh43bE2OsVX2+YHYizNMLQ6kCeWbMbUXbbuXL+FOuEEEKCQ3PMjJKPYNahOzNA0+ivp1UG8e+j6s6YHjISxUIETqmiPTL668aat9GLlbbMygxgAPsNEahDL1ZKcTqEEBLkmMJTGQR7ZybgbzOdj1VQ4+WQwRh67m+1YEaFKgKPhdxE8SuEEOImDbMhipkdskJjWD2M0MMS5AO5Ee/p8FdmAMDKuZdaqQrzWEdmRKdJuDv6QXwvXCyWlSEex4RE3B39oEfWSQgh3qZhNsyy7cVi03bE2ZtyRuPsdVhs2o5Z5v/RwKTtYGgK01Ps4esN8jH/vTLDGFx6e7iBa3bpOnYG2Fs9LxV46oZ4Vo2XjP9FVKsT2Sio0JOVYbHxIzxu+L/z32qSCADmBupKBTHa3Qw+kwp4djHYl0Xxs8WsUc517Tr+ulRm5w9DTU0jt65Q5/xeMokAXsHuHETM24vc/Q2Aeeijw6sBou4uV05wo1RdXjCo1HHHCfzk1pV6PWeaA0HiHOEeNy5MryK+3t2pIgC330s5UwHIGtK/1f41MDO622qQzGqx0LwDC7XpmG7JRzKrbXpeZUGl4MrXjIzpTORwZR+2riOonF4jZ/oF5/WpqJfhJUFxZcbbjIIepzQxKBFaMqWejroZxapInFLH0CzNhPiIhtnQyVYHq12HrUVLsfX35Yi0WOgKwgWqFEIxTZeBYiECyawWy8w7kMxqUSxEYJouA5VCqK+b6Lea52ZS8hHM/PfKTACzCmo8F5kBAzMhU/UPAEAVtHjc8H8Up0OIj2iYDU/+uQXdLWeQ2/kesXxBxSaU60LxfOzNdG5egAohHAu16Vhm3iGWLdSmo0JQeCJXQtpBV2Y8xCqonW4leTJOhxBf0TA7YliDQ1kMa4DGz8bYiLQ3It7cAIPVgicrdrQqtyHe3IBQq3+1N1DEsTpMt+Q7lE235COO1Um8ggCUmq006swQQi6YhtnxNMvHUrYLcaxpzKY4Vo+lbBeeZvl+1aGpUoejp60YEahDf9uvYnkCytHTXoKNZa/6sHWBKYY1YJH5C0QxOwQwCGD4FfFIZrVYZP7CqZNLWiiZlq30aMKBiDozhJALZoAJ3VGDZNThJbYbl7E/8RLbjWTUoTtqYAANENmRGaHDSSEaJWgJ9n9KNwzFQgROCtEwgj8aMyFK89+YGUFwLXuA88vPKZav9ZDajDkMYS6VzcDLcpIa+lzg/frkDR8vmTHgfOuJu0yAu08kh2R38fWSVSWGKOcOCx/mnKFkNfCnMzBHO3/A2fT8dakbObflJDZXw5kWQuBksAAAM/OnRHAZ7710N/MC8jJQ3CZj2gEplUIoHsdQsQOzjO0CABQjHI8LQ1sCQOUsV+LYF1zKipHOQAOAuxMfxrMV/0GkzSoOavmDqgeejx2BP9WRLRmAvHNKxnkmZ9oAqewtl6erkDFVhKysJYm6rfevCeGYp81AWNMfAIAyVSwm626BEXpAwwlLlZFlyTibJplhKOdzsLXz7RMPTVfRnFKtFCWXFYj8tzNDgorGbkV4nQWf73gaADDk/5Yj3nIGtSwEVhUdpv6sQgjDQlwldmQAYKFwFSoE/xrpupOtDov/3IAkWw2Oq5PQPM3ZxfZSLKn8EI91Ho0qUNCqHDsb33Iq29O4Uvz/SE22N5vjMg2zwQCzU7aVmrLaAhbdZiI+p7Fb8ew3/8Lyr98Qy+Lrq/Dalysx/9u10NglJvgjfiGO1WM62+9QNp3tF2No/MVZVQhOamNRoonCrLhbxfJSlQEntbE4q+JfSSQdh43psaPxfXxu+gDPmr5yClKeYd3rtTR9CgBWFv3kJT4X3mBBYo0RUfUt8RXP7P0A0fWNSLAbEWWux5kQQztLIL4SwxrEW0zFCMdC4SpMZ/vFGJqpGOY3Y41YBTWe75yFSHsjqtUhuKnrVMBqxdO2UTirCqFMwwswPOQhAIANevGKzA0hOVAHQKxUEpqClJeFDhPLujFj0xUbeP6YVboDEuydGboyQ3xu8+45uKT+tMPEnAPrjyICdbik4TR1ZPyYEXqcRJQYI3NE6IzHhaEoRjhOIqopbsKPWAU1qtSOt5Kq1OHUkblAGsEEjWBy6LyoYRLL/YWN6ZserY7H44hHFLNjjrklrfwp7VC/6XwTefz3ykzb6Qykgr64AXXtLNfOHAI1eQFmQDuBwdzKvLbxLlW6Pky7ZF2Bs70SAZMeiwfjba+MwGLZA1W2eY8EqUg3TjmTDPB2rRGSQYWuBmdCgUBMOeQMjS9nigKJIFOroMIzSIcBJvFLoEIVgalsBIzQKdpJ4L4XvGkHLBLB3a6+HgA4weSSgateTD+XnOrB7QW7+bu29fGsElqWx/tckDGFjJyzpL26O+vediobgBMAgDAAzTeb/lRHAKo2nTAZQb1tz2uBCYDE4WFnQtPzCqHUbBlee+019O/fHwaDAQaDAenp6fj888/F5xsbG5GTk4PY2FhERERg9OjRKCsrU7zRpGO55qal+OvIuSgMu1QsK0M8fglLwa1DZ/uwZcQVVkHl9Gu2Ugilqx1BRCOYMTI8GyPDs6ERzL5uzgXrTAP9BSxZnZkuXbrghRdeQEFBAQ4ePIjhw4fj1ltvxZEjRwAAU6dOxaeffoqNGzdiz549KC4uxu233+6RhgcDDbPBYLNh25+vY9ufr8PKdIix13e4eWTirWew6utX0LP+d7GsJkyPXvW/Y+X+lYhtNPqwdYQQb7IyHbbXvYvtde/CypQZp2Z42HgMDxuPG8ImiWVliMcxJOAf2jvFsufMu7w20J+iM2YrnOYdiGTdZrrlllsc/n7uuefw2muvYd++fejSpQvefvttrFu3DsOHDwcArF69Gn369MG+fftw9dVXK9fqIKBhNjx19gvEWRqx8VxZnK0OLxn/i1PqGDwXMaLD/PKt0YXhN0MiEpkROJcAk3vdOKz6+hWciEhEjc6/UnwJIcrTMBsMzIRyoaUDE2NvQL0Kbn/WiVeLWn3hGyFgrv5aGDVRYtkpIcprA/01dUCUDABWbFEB6YJjZmw2GzZu3Ii6ujqkp6ejoKAAFosFGRkZYp3evXuja9euyM/Pl+zMmEwmmEwt9yiNRvoVDgBhdiDO0ghDq/vxM2t2I4rZEMcaYWAmVPrZOB4XyqrS4Kn0+xBlqkd66EsAgDOIwMShOaijcWYI6fA0zIbHGvejq70GT4TcLJY/3fg1/lRp8aL+L4BK2SEaZupHwKhSO4Sov6i9BlYrDQURiGR/Sxw6dAjp6elobGxEREQENm3ahLS0NBQWFkKn0yE6OtqhfkJCAkpLSyWXt2DBAsybN092w9vVNiDvAgL0eMGGUkHBjHfwcwL1JEf15QT7bqx6S7wi02wA++3cCoFMzT9anpBz10lOYLPECMDM6rxCweR8n1xdzx99V6txXq5dq0ItwqBvbNmXtQiD2mSDDo4Bnapa/j15odG5nEkEeDIbb9RmGftGxkisUqOFeoS7gZxKUGBkYS5u0DWnjBe8C/CDfSWCO5mZdyzJGLlWYrkeCfxWYt9y2iU5krKMAF7u+8NZroGZMcL+S9MfjS3lA3CiKYC2ARgZ8YDr65WgESxNy2EMRpz7fGq17TaVBoLgeJzwk0QkrhRJBZRzUGq2smSfBZdeeikKCwvxzTff4OGHH0Z2djZ+/PHHC27AzJkzUVNTIz5Onz59wcsihBASeCpVHeMqM/Ed2VdmdDodevbsCQAYNGgQDhw4gOXLl+Ouu+6C2WxGdXW1w9WZsrIyJCYmSi5Pr9dDr/evsSj8wYjYRxFnq8PMmt3iFZkyxMMoqPB01M2oAv+qByGEBKLh4RPQx1aB2Y1fi2NOTQi5B7+qI33cMs9oM/iIIssLZm5fn7Tb7TCZTBg0aBC0Wi3y8vLE544ePYqioiKkp6e7u5qgE8+qsdj4EXqwltR2o6BCT1aGxcaPEGP3r6HiCSHEHUmsEk+avkA4WtKjpzXuRBKrDOh0b+Idsq7MzJw5E6NGjULXrl1x9uxZrFu3Drt378a2bdsQFRWFcePGITc3FzExMTAYDHj00UeRnp5OmUwXwCjocUoTgzhLo9jlfjrqZiw2foRTmhgYBbqaRQjpGGLs9VjYsA3JrBa/Il4sT0ItFjZsw2OhozrcrSiKmVGWrM5MeXk57r//fpSUlCAqKgr9+/fHtm3bcOONNwIAli5dCpVKhdGjR8NkMiEzMxOvvvqqRxre0VkFNZ6LzICBmZCpagr2rYIWj0ffCqOg7zBp2YQQYhT0OKXqBNiBuaF/wUjVA4iz16KmQYVTqk4d88cb3WdSlKzOzNtvOw8J3VpISAhWrlyJlStXtlvvgkgl0XM6o20zWBz+ZnbHbAup4HNOhoDk1Ae8Qk5Uu9SxJtWftgKohN5hWZXQn1tQS5lklgU3e0NqeH/O9kpkhfDayxqcS6XuYWobOcPNS2V58DKnGvhzvrAGzmBXMjJbJKcu4JEzFYCbpDJgpDJm3FyZ8suUSTITiNd/5xzPvEwkAPwsHKkMRd45JWO6Cr8gI3OKm7kklbXk5hQFvH1uVWvxbNiwpiEnzl2BqVAZ8FjoKNd/vF1oG1pvj1rllInKmz5FKkuS+I7vP7kIIYQEPaugdrqVVKkK67hXoc/dZlLqAZm3mZSYnqioqAhZWVkICwtDfHw8pk2b5jROz+7du3HFFVdAr9ejZ8+eWLNmjVNbVq5cie7duyMkJARDhgzB/v37ZW0LQJ0ZQgghJOi4Oz2RzWZDVlYWzGYz9u7di3fffRdr1qzB7Nkt8+mdOHECWVlZGDZsGAoLCzFlyhQ89NBD2LZtm1jnww8/RG5uLubMmYNvv/0WAwYMQGZmJsrLy2VtD3VmCCGEEC/z9dxMt9xyC26++Wb06tULl1xyCZ577jlERERg3759qKmpwdtvv40lS5Zg+PDhGDRoEFavXo29e/di3759AIDt27fjxx9/xPvvv4+BAwdi1KhReOaZZ7By5UqYz93qXbVqFVJTU7F48WL06dMHkyZNwh133IGlS5eK7ViyZAnGjx+PsWPHIi0tDatWrUJYWBjeeecdWdtDnRlCCCHEy5S8xeRuZpTNZsP69etdnp4IAPLz89GvXz8kJCSIdTIzM2E0GsWrO/n5+Q7LaK7TvAyz2YyCggKHOiqVChkZGWIdV/nvpDeCwA80a8uVodNb/c3szCFgT3J4cd5y7RLD+9udg0wF3lQAUsGGds49YTndbBnD8EsGuXIC2qSGM+ctQeAEQXKneQCABs5hJxVEyXkfpAKeueuTnM7A9aHt3SYnqNZD0yS4HaTqqSkKOOSck7ImkJcxHQF/XRIrk7EfeO+D1PZyy3nrknq9nEBd3vQrktMZuJkCzFmu5OeSjKBebns52+X0Ol3LxJKCVgNB6/jeSyVC8BfWtr3ev17Qdn7D9gamdWd6otLSUoeOTPPzzc+1V8doNKKhoQFVVVWw2WzcOj///LOs7aYrM4QQQoi3NQftKvkAkJKSgqioKPGxYMECySYoPT2RL/nvlRlCCCGEyHL69GkYDAbx7/amC3JneqLExESnrKPmbKfWddpmQJWVlcFgMCA0NBRqtRpqtZpbp71pkHjoygwhhBDiZZ4KAG5OtW5+yJn7UM70ROnp6Th06JBD1tGOHTtgMBiQlpYm1mm9jOY6zcvQ6XQYNGiQQx273Y68vDzZ0yDRlRlCCCEkyLg7PdHIkSORlpaG++67DwsXLkRpaSlmzZqFnJwcsQM1ceJErFixAtOnT8eDDz6InTt3YsOGDdiyZYvYjtzcXGRnZ2Pw4MG46qqrsGzZMtTV1WHs2LGytoc6M4QQQoi3+Xg6A3enJ1Kr1di8eTMefvhhpKenIzw8HNnZ2Zg/f75YJzU1FVu2bMHUqVOxfPlydOnSBW+99RYyMzPFOnfddRcqKiowe/ZslJaWYuDAgdi6datTUPD5CEzWGO6eZzQaERUVhaHCbdAIWkWWGRKmx6dn/wUAuMWQjcZ6/nD45yOZZcGvfEHrCAic/SCZ+cCj5byvUhlZbmZ1SR7ermb3KDFFgYwMFC45mUhuttdvh+aXIOec9Ni2cfa54EIWzQXhHEvczEmAmwkk6CQ+U3ntVUlsA2+fy8hG5J7Tcl4vhXeeSe2bVvRhOvzn5MsAgFu7/xOm+jbTYZidp1+RytRsm/FmZRbsMm1ATU2NGMfS/B3X9Y3ZUIWFnLd9rrLXN6JownyHdQWTDvyNSwghhJBgQLeZCCGEEF8IrAuhfo06M4QQQoKOlemQ9+fLCAs7f13i/6gzQwghBBpmg4GZHGaujrHVwagK6XAzV2uYDQZbPbf8wiIq5XN3CgLe8oJZ4HdmeEFfcoLGpOpylisvgJAzPYC7w4BLtEGJ5crCGdWdyQlyNZv55Ty8fS61XF5dGceCN/et9FDxvCBGflX+8PoSlV3cN1Lb6xeBwbwpBjhTjHjsfFDgs8IjSQQypiiAhv+Rr9Vp8OSZHehuOYMZcaNRoYlEHOrwYul/cFIbi+fj/9rSoZExxQA3sN/Km0pEaooSXl2paSVcnM7ArkZuzRfobDVhY5unHq3Zh5d0gx07b9xpJRQ4xnyczdTRUAAwIYQEuUh7I7pbziDJZsSLFf9GmqkYL5Z+hCRrDbpbziDS1uDrJipmW/nLGGH+EQPsx52ey7IUwGBv9EGriLuoM0NIkNMwG2KY45dVDGuARtYsjiSQVanDMSNuNErUBiTZjFhc0dSRKdFEYUbiHajSRPi6iV5TqQ730poEDzyCF3VmCAliGmbDLNteLLF+gThWBwCIY3VYYv0Cs2x7qUMTRCo0kXgpZqRD2UudM1Gh6VhjloyIn4oR8VPxj2jnEWaHxU33QYuIEqgzQ0gQC2MCrmW/4yLUYp51H9LsFVhk3Ylk1KE7q4YBMuKbSECLs57F45XbHcoe/3Mb4qxGH7XIMzQqM5LYGTxu3Or0XKK90nsNYR54BDHqzBASxKqEUPH/SajDMlseklGHYoRjmmY4Kls9TzquTrY6vFjxbyTZjChRG/BY3B0o0UQhyVqDF0s/Qidrra+bqJgYWx1erPwPkuzOnbRnqrYgxlbnnYZQZ0ZR/pvNxNq8O1LR40oMN+/qct2cosBTGSGylisjI0MKNyODt1wP3aFgFvczRbyaucQbUl1GBopk5hMvU4Ob4QSwNm+GjekBxmATWmbUrUNLrMBCzTWoUEW2tEHFyyTy7nHnal3Jdrk7NL70Ct16vXTmk3vL5R13gkQ209mQUJzUxwFmATOS/4YKjQHTo/+OF0+uxamQOBgjY8DOTW/AtM7HHdNItItz7ApWThadmT89gNDASZTmTC8AgHvs86YzMapCcEoTg+6oxH2x2TBGxAJYAgAo0nSCUdVmigFupiZ/e9ueq8EdxeJd/tuZIYR4zE7T205lCSgX//+HNRLTtCNQIXgrGJL4klVQ4/mEWxBpaxCDfSt0UXg89X4Y1aGwSs3TFICsghrPd7oJkfZGVKnDoW/13MKoEbA2eClOjAlNDyWXF8ToNhMhxEkyarHIkueU5UQ6LqugdspaqtRGdKiOTDOroEYVJ2upow0OGEzoygwhQWi4flzTQHpMg53WNwAAt2uyUS2o0ZnVodgagZNCFIzQ+bilhHRMjPEnEHdnecGMOjOEBCG1YAIEx0iaakENtWBClaBBrvZGGKGjX6qEkIAQOJ0ZqW6n3GGlmd21QEB3AwDlLNPdYGM5wZVuBjEDUsPou7h+8ANtJZfpp0HXXHKCM3Va/hNazpUQicBkgbdtFolUal6xYAeYCmiOp1SrAFvTsVTZHEngqQD7Zh4ItFck2NgTr4cCgefuTocgEQDMtI7lGmZDhLoRlbqWIPAY81kYNWEwhevbvhzWCP7xbAvhnOucbVA38N8zXbXzgaupdp5TCQCEWudbooKFHyzcOjCYFyTsQE5iQZtltbtoms5AUYHTmSGEKE4jmDAy9D7x7yD/PCRo6sg8VfwJulnOYGrP8dhw5EUAwDFdF5SHRWDeZffAqqKvDrdRALCiKACYEEKIyGBrQDfTn0g2VeG5Y2vF8iRzFbo3lMNgpaBw4n+oM0MIIURUqYnAYxdl41fdRTC0muH+uO4iTO05HhXqGB+2ruMQmPKPYEbXCgkhhDhYf3IZ1mOZQ9kA8y/Akab/D//Lc95vFCHtoM4MIYQQ4m0UAKwo6sxIhpt7YOhzT2VZyF2fu23g1ZWxLm6GkT9kisjBHeJcIutIx8lQ0jtnhACAEB7mVMb0EplPVucMMO7w7wBQ6zy3DuMNC99migQNs8EAMyrtLdsQwxqa0rYlBlNz+/315hQlUjx1TnJITmfAm66CV1cqe547xYhE1mCrz8EYay2OaS5CkrUax3UXNV2RAVCGeBh1Ojw2eByMesc5uxo78RvR0Nl5P1oineupLPzXh5U5f0VFFvHr6nhTJ5yVyHxqleUkOV1IM94+t/OPJVnTGVAAsKIoZoYQwqVhNsyyfIUl5u2IY02T78WxOiyxfoFZtr3QMC8N+068yqgORYU+DDV6PZ7r9f9aynU6lIdFoD5EonNNiA/RlRlCCJcBZnRn1UhmtVhk3YmF6qsx3bYPyagDWNPzlaBZtTsaq6DGc8m3IiKU4U+1QSx/4pL7UK/TUFq2Uug2k6LoqCSEcFUKoZimy8Ai8xdIZrVYZssDABQjHNM0w1EpUEemo7IKalTqQqGGBTcOngsAMIJ/a5QQf0C3mQghkiqEcCzUpjuULVRfTbNpE+Iu5oFHEPPfKzOCIH+qggtdj7vsnNgB3nL9eIoCj7RBiYBLN4e7lzOdgbvDynMDNgFA63ya8QJ9AcDa2Tk60hrBn+xRZXPeN5rqRn5d3vF49qxzWaPjMuPsdZhuyXcom27/BtM0GSi3SvxSd3eKAk9NZyBnXXK2wRNTMshZrkQwKi9wlUkFrvKCyS1SwcLORVbOtAUA0NjZucyUyJ9igMca6hyfI9j454PB5HylUMMLcgcgtN4PUuftBWBtzsl2p0qg20yKoiszhBCuGFaPheYdSGa1KBYiMEV3I4qFiKYYGvMXiGE0EiwhxD9QZ4YQwmWEHqeEaBQLEZimy8CPqnhM02WgWIjASSEaRvB/IRPiKq3VitjyBhRNmI6iCdNhN2kRX22E1mr1ddM8rzk1W8lHEPPf20yEEJ+yCmo8q/sLDDDhzLmspQohHLm6kU3jzFiD/Lo2cYvWasWrr69Fyu9GpGEOACCpsgobX3kNRy9KxCP/GAOA0sCJa6gzQwiRZBXUqESYw6BqLVlMQfDrmXiModKClN+NiD3TMtDja8s/ROfKRtQzIzrV1sPYgVP/lZ5PKdjnZqLbTIQQQrzuu1lzkHbmNBJQLpYNrjyKCNQh7cxplEcb2nk1IY4C58qMVFS43GwkQeWYEaDE0OmutkFqXbxtk1ombxlK7Run13uxryvnffDmtBBylimRFcGbzsAWxU9tru/inOVUF89vA++XWHgZ/7J8mMp5GWqLc6ZH22wMUavZk8X1S2wvb2BgqUwxxhte3x+mPpCTnedmXcksOhf3g2TGDCfuRDDxp7vgLYGbAQdAwxkBWFfHP+5UZl5WJ7eqc7VQG6zhzl9R1jD+AmxhznU1nExCAICp1bHf+twQBMlpSRy0l6XkKspmUpRbn/4vvPACBEHAlClTxLLGxkbk5OQgNjYWERERGD16NMrKytxtJyGEkA6ky4qluHL+bByMvVQsK0M8foxLwVUvzPJhy0gguuDOzIEDB/D666+jf//+DuVTp07Fp59+io0bN2LPnj0oLi7G7bff7nZDCSGEdByJDWew8ZWV6H3md7HsTJwefSp+x4YlryGu2ujD1pFAc0GdmdraWowZMwZvvvkmOnXqJJbX1NTg7bffxpIlSzB8+HAMGjQIq1evxt69e7Fv3z7FGk0IISTwaG1WxJ/rpFRFhOFociL+6BQtPv/AY9k4FR+DX7okoDqCP7BkRyGgJQhYkYevN8jHLqgzk5OTg6ysLGRkZDiUFxQUwGKxOJT37t0bXbt2RX5+ftvFAABMJhOMRqPDgxBCSMeitVmx7N/v4qOFryH5TBUsGg2euTMLYUI9tl+Rhp6rn0HZReG44+kJeOTRe2DRBE5IJ/E92UfL+vXr8e233+LAgQNOz5WWlkKn0yE6OtqhPCEhAaWlpdzlLViwAPPmzZPbjAvH7J4LGrxQ7gbqqiSG43Z3O3nTNACemWbCQ8HGsqYo4LVBxusFtcQ26J0DgC2dQrhVjd2c38uzPfnvA1M7R/w1nuKf0oLVOeA4vM556gOBExQMAOAFC0tEHPL2ueS0Ev4Q7OuJdSkw5YagcnU6A6l96/x6ZuGn03OPconzXF3jfIyFnOEPoBge3lLeub4Ol5aUosvZSnz44puYcfu9ePHjdehSVQ0b1Ig9bkOFIRyViAMaADUATR1n2hAbf3t5Y8YxrURQfutzVeq8FRci41hoe+y3N5Cd0gPdBfmgebK+QU6fPo3Jkydj7dq1CAnhfxjLNXPmTNTU1IiP06dPK7JcQggh/uPPMAP+MephFHWKRdeqM/jg7VfQteoMijrFYsw/HkaFIchSsX080eSCBQtw5ZVXIjIyEvHx8bjttttw9OhRhzpDhw6FIAgOj4kTJzrUKSoqQlZWFsLCwhAfH49p06bB2iaTbvfu3bjiiiug1+vRs2dPrFmzxqk9K1euRPfu3RESEoIhQ4Zg//79srZHVmemoKAA5eXluOKKK6DRaKDRaLBnzx68/PLL0Gg0SEhIgNlsRnV1tcPrysrKkJiYyF2mXq+HwWBweBBCCOl4SiM6Ycbt9zqUzbj9XpS0ir0k3rFnzx7k5ORg37592LFjBywWC0aOHIm6ujqHeuPHj0dJSYn4WLhwoficzWZDVlYWzGYz9u7di3fffRdr1qzB7NmzxTonTpxAVlYWhg0bhsLCQkyZMgUPPfQQtm3bJtb58MMPkZubizlz5uDbb7/FgAEDkJmZifLycrhKVmdmxIgROHToEAoLC8XH4MGDMWbMGPH/Wq0WeXl54muOHj2KoqIipKeny1kVIYSQDiaxtgovfrzOoezFj9chqarKRy3yIR9fmdm6dSseeOABXHbZZRgwYADWrFmDoqIiFBQUONQLCwtDYmKi+Gh9wWH79u348ccf8f7772PgwIEYNWoUnnnmGaxcuRLmc2NTrVq1CqmpqVi8eDH69OmDSZMm4Y477sDSpUvF5SxZsgTjx4/H2LFjkZaWhlWrViEsLAzvvPOOy9sjqzMTGRmJvn37OjzCw8MRGxuLvn37IioqCuPGjUNubi527dqFgoICjB07Funp6bj66qvlrIoQQkgH0rneiNc/f028tXTPuEfFW05rX38NcZT84VM1NTUAgJiYGIfytWvXonPnzujbty9mzpyJ+vp68bn8/Hz069cPCQkJYllmZiaMRiOOHDki1mmbLJSZmSkmBZnNZhQUFDjUUalUyMjIkEwc4lE8XHzp0qVQqVQYPXo0TCYTMjMz8eqrr8pfEHNjeMS2ozMqMVqjP5M1eq6M0YI9EegrRc42KBEs7GKwryC1Dzgj6kq1i2mcgxBNnfinXm1X5/3Qv+9Jbt0eERVOZZ9G9ePWNZ51DgAOLXNOfVXVnOW+nju6scSxxCweOt/kjLQbSOvyEN5ozlJnNP8dcw4QB/gjP+tL+Md+lC2iZR12NU7p4wE78M9rJ6KsthP+ee1ErNi1CifDE4GiMHRyWrRzy/RG/vugtnDKlXjL5HzetA3Gbue7x1NzM7XNCNbr9dDr9e2+1m63Y8qUKbj22mvRt29fsfzee+9Ft27dkJycjB9++AEzZszA0aNH8fHHHwNoSvpp3ZEBIP7dnPQjVcdoNKKhoQFVVVWw2WzcOj///LOLW69AZ2b37t0Of4eEhGDlypVYuXKlu4smhBDSQVhVGsy77B7ooqw4E9p0q6IsvBMmjsjBn9HhsKqDLBXbQ9MZpKSkOBTPmTMHc+fObfelOTk5OHz4ML766iuH8gkTJoj/79evH5KSkjBixAgcP34cPXr0UKTZSgmyo4cQQoivWFUanA11vCJ4JtQAqzq404qVdPr0aYe4lvNdlZk0aRI2b96ML7/8El26dGm37pAhQwAAv/76K3r06IHExESnrKPm6Yuak34SExOdpjQqKyuDwWBAaGgo1Go11Go1t45U4hAPzZpNCCGEeJuHAoDbZgdLdWYYY5g0aRI2bdqEnTt3IjU19bxNLiwsBAAkJSUBANLT03Ho0CGHrKMdO3bAYDAgLS1NrNM6Kai5TnNSkE6nw6BBgxzq2O125OXlyUocoiszhBBCSJDJycnBunXr8J///AeRkZFijEtUVBRCQ0Nx/PhxrFu3DjfffDNiY2Pxww8/YOrUqbj++uvFORlHjhyJtLQ03HfffVi4cCFKS0sxa9Ys5OTkiJ2oiRMnYsWKFZg+fToefPBB7Ny5Exs2bMCWLVvEtuTm5iI7OxuDBw/GVVddhWXLlqGurg5jx451eXuoM0MIIYR4macCgF312muvAWgaGK+11atX44EHHoBOp8MXX3whdixSUlIwevRozJrVMqO5Wq3G5s2b8fDDDyM9PR3h4eHIzs7G/PnzxTqpqanYsmULpk6diuXLl6NLly546623kJmZKda56667UFFRgdmzZ6O0tBQDBw7E1q1bnYKC2+O/nRlBcMymkZOR1DYDpb2sHDnZPe7y1NDt/pChxGuDN7OhIDF1gYx9zstcYhL7VrDLGeLcuQ12LX/f2KOdpw24O5E/EmZG2O9OZTaJO8dbj13pVGYxOA9BH6LVcl/PeNlbEmRNZyCHv2YT8dolddzJqMvbZy5PcSBB6niGlTPNgeTnSoNzkY0/5YbO7Hw8a2qcs+hs4RLHndZx22w2Lb7c8zgA4P8NehrG0JaR6DsbK2HUhMHaanoXgbN+AIDVxv8/txG8fS6V5ShjOgMfkzwWzklJScGePXvOu5xu3brhs88+a7fO0KFD8d1337VbZ9KkSZg0adJ51yeFYmYIIYQEnIWHVyO+sRoAEN9YjSVHV2PWbxuhkZpTzt80z82k5COIUWeGBD0b02OHeS22N/wLVtZ+5L+/UJntaDipR0KXYiR0KUZdfShUZTaoLQHyQU6IDDabVnw0M5jMmH/oA1xSXYKXDr+NZFMVujeUw2Ctb2dJfsTHIwB3NP57m4kQD9MwGwwwowItHZgYVo96AFZBYiZyP6Ay23Hd5OMw/NLScVEV29Ep+wwe7L4X7yy8BjaJ2YIJCUTNt5ZaS0A5YAJwGHgVK1Gs74Rpl2SjUhfp/QYSn6MrMyQoaZgNj1kK8Kzla0Szlk7B06Z8PGY6CNj9t59vL9FA87OAxtMt8QK6vzei8ZQehmNmhFebfdg6QnxjYffbUKGP8nUzXNYcAKzkI5j57ye2q9wNPPVmkKrUvVw5bfCDQFsuP2gDN2BSItDWYDMjA8ea/mgV+zgAJ5ou15qAG0P+Lm86A8mGObdLJTXkP+e+t1ZwPG7+dqNzQHDy7yVN/ykGXuhyEyLbDEVviXReny2Esw2cqRcAiWkdJPYN4wakShz7coJnPUGJaTR4y5BarpyAdF5Au6vrl2KXWD8vaFsiqBcNzgHAkKrLmVJB3ejc2VbXSAQAnzseR/R6+tzidNh9vOn/32t6oYe1WKw7/bdNmNHlblRoWwaMkw4AbnXSW1vtE5vVORiaF7ze0afICUB0ZYYEpUoh1NdNIIS4SKOyQKOyQK1q6Qj1sBajRqvD011vR7E2GsmWarz4+3rEWGt92FIZKGZGUYF/ZYaQCzRc+yB62//EHNu+pvvvAMZr/4bjKv++5/7e99citMSCvzz0OxJ/b/plWoZ4hKWY8ObKq2GWnE6QkI6jRBONeV1vRYU2CjO63oMXiz7AKV1nGNUB8kNF6VtD1JkhJDglohJP2XYhvNXUutMtezBHfw0qBOdZpv1FdO1ZDBt/FMLvLadvWIoJEaeNeCDnf1j7ryGoiwuMrCxC5NCoLMjsPRMaZsNs2+2o1DTNyl2hjcLjKffCqA716+B94jl0m4kEpRjWgEWWPCSjFiWIEMuTUItF5i8QwzhxAX7CFK1GzSWhYCktnRm2NhmsmwZ/9oxAQxQ//oCQjsIqqMWOTLNKTURgdWToNpOi6MoMCUpG6HBSiAIYMEebjhuFMYgT6lFjVuGkEA0jnEfH9RdMp0L+y6m43VINW0KvlvL/dMEnrBfsOvqNQggJLoHTmfGDbBlJvAwFOUNg8yLjVVK/MGRkf/Cyp/x5P3qCxDD6VrUGz6r+AgPMYjBwBcKRqxsJI3TiLzzGycYAwI9Kkcjo4GVUaGslhn8vdr6qsunPK7h1G2IPAWdbFYQBB/5MBTgXldSNnBbLmjHDeT+ebzj01qQyc1hHGOPPm9lXHFJTRXD3uVTmk1SWE299vKpmieEAeOeEyeRcppX4KtI4lwsSmYSMM8WI5DQarTKWWOuPWpvNqc3c41xqOpO262vvHFH6akqQX5mhn3AkaFkFtVNWU6Xgv/fc1RYbov90HN00tNwMldlP5ywihBAvoc4MIQFAbbFh8lN5mDPxU8SWNqWehhWbkHnPj7h+8jHq0BASYGjQPGVRZ4aQABBZY0LKb1VI+OMsZk3agku+L8XI+35C5GkTon9pgL6aM+sxIYQECerMEBIAqjuH4dkVWSi7KBIJf5zF3ImbEXnahLMpemz/Vx80xPtvwDIhhHha4AQASwVScYdZV7X/tytcDeqVKpcz7QCvXM4Q5ZJDp3so2FfOvvHmuuTUdTXgUSpwlff+Sh2jjc4Bj/ozjZyKgOE35wDgr2MuEf9ffE8M/v3Sq+Lfj+Tcg+9qUoCapr/PVoVxlxtZ4bwdmgZOcKbVyxG5nnh/5Uw74Mckg1fbcHnag3aWKajkJBZwgsElok95LeOeO1LTIag40xFITjHCC3Lnt6t1G1ir6QyYxQpmsbat3O7rHZ+wt/+3w3OgAGAF0ZUZQgJEcmUVlqxZ71D2/LL/ILGixkctIoQQ/0CdGUICQHyNEeuXvo5uf1biVOcYjH78EZxO7ISU0iqsnvUvdK48e/6FEEL8BgUAK4s6M4QEgKrwMBxNTsSpzjG4e+o/cLBHd4x99j6cTuyEY13jUB3Jv71ECPFjNPqvYgInZoaQIGbRaPDI+L+jU109yqMMAIDSuCjctyAb1ZFhsGr9c2wcQgjxBurMEBIgLBqN2JFp9meMf8/wTQiRQAHAiuqYnRk5EeWuLkMuf502QIlMD940CbzpF5TIHpGTrcJ9uYzsDR45w7xLDOkuqJ2XoT7Dj3ExnHSe7Zqp+WnXDb93ciqLkBhVPuIP5+3VnOUMKy9jigJJnPfM1cwcAN6dHkDO+SAny0oBcrKUeHj73N1lym4DbzoQXplEuwTO56jkkcSb5kBq2oHWLK1eZ7O7Np0B8TsdszNDCCGE+DGlg3aDPQCYOjOEEEKIt9FtJkVRNhMhhBBCAhpdmSGEEEK8jG4zKatjdmbaBmy1/psxx78lpxhwc8h+T7zeX9oAF5cRYMPK8wMmXW+rIPBPJ6fh0QHgbC23rv4P5+kMOtn4GUthFc51mcTxrK9yHhZe1chpl0TAJC8QU+rcYZz3XWo/ygkM5gWvMhkB2m4H6nozMFkB/P0lFRDPqSsxxYDbQcS8/Sg57QCnDZKfK5xluHJ8tQ5IZsw54FdO8DrxmY7ZmSGEEEL8GcXMKCqwfmoQQgghhLRBV2YIIYQQb6MrM4qizgwhhBDiZRQArCy6zUQIIYSQgBY4V2bkTA/Qtm7rvwWhzd8eyrjxZsaOp7Is5Azf7s0sKwWGlXc1i0Yy+0PtPH0Dd+h2ALwjl5kkpj6oNjqVaSUyjNTGUOdCDX8fCBZOVggvy4qzXZLlvOHjAf5w9RIuJDPGxvTYaV0DABitvgvGVu2IYQ0wQgerwHl/ZAzvz8uSUmIqAFnTOrj4eultcG86A94xfm7BnMoe+hyV89nG27dyPyvszLXsJUWmagHdZlIQXZkhhASsF2y7EMfqAABxrA5LrF9glm0vNLyUXkJIh0WdGUJIQLAxfdMDLZNxGgDMs+5DL9tZLLLuRDLq0J1VwwCJGTcJ8RfMA48gFji3mYjX2Zgeu9i/AADDhPugFjizLBPiJc23llpLQHnTf+zASggoRjimaYajUuDcgiPEj1AAsLLoygwhpMNYqL4aFUK4r5tBCPGywLkywxuqWoqcYGElArm8GRDrhSHZbazpMr5N0IuXLm1CKJr7vmrWoNi6zlvX3WBDJeryXm51nh5AKmCSWZ3XJXmENrh+7KrNzm1gOucpDgDwg3V554lGIuhTw/mosHICiAFuYLG70xYAwHDNAwAAG/TYY30dAPA9UtGj+eoMgOm2fXicDXO5QyOnXXKmApA6ljhxybI+K2QF8LobsOzNz0Y5nxVKTwvT9v/eSt6gAGBFyfpmnDt3LgRBcHj07t1bfL6xsRE5OTmIjY1FREQERo8ejbKyMsUbTTxrl/1d7LK/iy/tb4hlX9rfEMsJ8QW1YGp6oOV2Zw+UowYCnlKnoxjhSEYdXrLvQoyrHW5CgtSCBQtw5ZVXIjIyEvHx8bjttttw9OhRhzqufKcXFRUhKysLYWFhiI+Px7Rp02Bt80Nn9+7duOKKK6DX69GzZ0+sWbPGqT0rV65E9+7dERISgiFDhmD//v2ytkf2z/zLLrsMJSUl4uOrr74Sn5s6dSo+/fRTbNy4EXv27EFxcTFuv/12uasghBCXlJyLkflRFYdpmuEoRjhOIgpG6HzdNELa1Rwzo+RDjj179iAnJwf79u3Djh07YLFYMHLkSNTV1Yl1zvedbrPZkJWVBbPZjL179+Ldd9/FmjVrMHv2bLHOiRMnkJWVhWHDhqGwsBBTpkzBQw89hG3btol1PvzwQ+Tm5mLOnDn49ttvMWDAAGRmZqK8vOWq6/n3p9MUodLmzp2LTz75BIWFhU7P1dTUIC4uDuvWrcMdd9wBAPj555/Rp08f5Ofn4+qrr3ZpHUajEVFRURgq3AaN0OqSuRu3mULC9Pj0bFMg6y2R96GxXuFA1kC6zeQC8TYT9OLVmetVE8RfxGp44DaTFD+9zcR7veS4HBwC77YNAEHH+RIODeHXDdE7lcm6zcRbpsT4N6zO+T1njY38uo3O55fUDMzcNrh4e0TDbDDA7BDsG8MaUGPXcseZ8RQ5t5m4/HQWeVnc3V4f3mYKCdPjv9VrAAD/F/2Aot8PVmbBLuu/UVNTA4PBAKDlO65PzvNQ6/nn9oWwmRrx08onHdYlR0VFBeLj47Fnzx5cf/31Ln2nf/755/jrX/+K4uJiJCQkAABWrVqFGTNmoKKiAjqdDjNmzMCWLVtw+PBhcV133303qqursXXrVgDAkCFDcOWVV2LFihUAALvdjpSUFDz66KN44oknXGq/7G+bY8eOITk5GRdffDHGjBmDoqIiAEBBQQEsFgsyMjLEur1790bXrl2Rn58vuTyTyQSj0ejwIL7Fu5yvhkksJ8QfWAW1U9ZSpRDq1Y4MIR1FTU0NACAmJgaAa9/p+fn56Nevn9iRAYDMzEwYjUYcOXJErNN6Gc11mpdhNptRUFDgUEelUiEjI6PdvkNbsgKAhwwZgjVr1uDSSy9FSUkJ5s2bh7/85S84fPgwSktLodPpEB0d7fCahIQElJaWSi5zwYIFmDdvnvMTrE10lJyg3o5AiV8qMpbB/XVpbRskZ5ffNnd5al1eCKRuj9RowTBzroxIXZXkjfBq5V8BYaHOV3F4o/oyrcQVIz3nipFFYiwXtXtXKmUF2rrJE8sEIO+clDqWeG1zcwRhRd4H3hVIJbaX3wjXX+/FK1wujyDe3h0FDwUAt70goNfroddzzv9W7HY7pkyZgmuvvRZ9+/YFAJe+00tLSx06Ms3PNz/XXh2j0YiGhgZUVVXBZrNx6/z888/n2egWsjozo0aNEv/fv39/DBkyBN26dcOGDRsQGnph4zrMnDkTubm54t9GoxEpKSkXtCyiLLVgQobwN183gxBCiIvafn/OmTMHc+fObfc1OTk5OHz4sEMMbKBxKzU7Ojoal1xyCX799VfceOONMJvNqK6udujJlZWVITExUXIZrvQaCSGEkI5EQDtDNFzg8gDg9OnTDjEz5/t+nTRpEjZv3owvv/wSXbp0EcsTExPP+52emJjolHXUnO3Uuk7bDKiysjIYDAaEhoZCrVZDrVZz67TXd2jLrWvltbW1OH78OJKSkjBo0CBotVrk5eWJzx89ehRFRUVIT093ZzWEEEIIcYHBYHB4SHVmGGOYNGkSNm3ahJ07dyI1NdXheVe+09PT03Ho0CGHrKMdO3bAYDAgLS1NrNN6Gc11mpeh0+kwaNAghzp2ux15eXmy+g6yrsw8/vjjuOWWW9CtWzcUFxdjzpw5UKvVuOeeexAVFYVx48YhNzcXMTExMBgMePTRR5Genu5yJhMhxHc0zIYwswUbTy4FAIzoOQvx9ioY1aGgaRsJUZiPB83LycnBunXr8J///AeRkZFijEtUVBRCQ0Nd+k4fOXIk0tLScN9992HhwoUoLS3FrFmzkJOTI3aiJk6ciBUrVmD69Ol48MEHsXPnTmzYsAFbtmwR25Kbm4vs7GwMHjwYV111FZYtW4a6ujqMHTvW5e2R1Zn5/fffcc899+DMmTOIi4vDddddh3379iEuLg4AsHTpUqhUKowePRomkwmZmZl49dVX5ayCEOIDGmbDU39sQlxjPTaiqTMTZzmLl4rX4ZSuM57vdBNlCRGiIF/PzfTaa68BAIYOHepQvnr1ajzwwAMAzv+drlarsXnzZjz88MNIT09HeHg4srOzMX/+fLFOamoqtmzZgqlTp2L58uXo0qUL3nrrLWRmZop17rrrLlRUVGD27NkoLS3FwIEDsXXrVqeg4Pa3X8Y4M94gOc6MFF7zvT3ODI+7mUQSeFH07r5eEf4wdoQcrq5PgXXx3h85mSICLzsIEmPSSFxSFsKcx7NgrcapMZjNeL5oPQxWizh54/eaXuhhLUaJJhqzk/6KKk2E4+vP1nLXxRqcx59hnCkOAHnjz/DIykZy9730VOaTp8g51705RpO7pN4H3va6UDckTI//Vr0DAPi/Tg86fz+4kSXV3jgzl01UfpyZI6sufJyZQEcTTRJCsPG3xehl/aNlFmoAA6zHEIE69LL+4dSRIYS4iXngEcSoM0MIIcQjNMzmNE9WDGuAhlEUFlEWdWYIIRhxyWzcnToF32t6iWVliMcxzUW4O3WK7xpGApaG2TDL+hWWWHYgjjXN9xPH6rDEsgOzrF9RhwagqzIKcmucGUJIxxBvr8JLv7+PKGvLqL5GjRY9rcVY/Pu7eDzxb3SrichigBndWQ2SUYt5lnz0QtM4Im8gHN1ZTdO8WriwwVY7Al8HAHc0gdOZkYpTDrJpDtyd1E5QuT+cucSCXa/r7us9NWy5m0HbUvtL1n7kbJvkD1irc1CtZECsmRNY3GryybNMg1PaWMTb69Gch/104u1YUvovnNLG4iz0QNspGNwNMJVor9vTGcg5lmQE9QpSnzUuTuKpCDvn+FAih0POPnOxbqUQimn6DCwyf4Ek1hIsXoIIzNGmO82rxSVnSgdOXan3jLXehEAL7CZcgdOZIYR4jFVQ4/mEWxBpb8RNmmkAgGqE4LGL7sFZdSis1iD/2UcuSCli8JxmGOZY9ollC9U3oBQRAINXJq5tml3dhEohTCyLYQ0wQufb4QZ8PM5MR0OdGUIIgKYOTdtbSS1/81OrCWnPTtPb2Amg9Whjb9o2iFf/btSN8ej6NcyGWeb/oRurRq72r/jQ/AEA4BgSUK7S4VntdR5dP/EeCgAmhBCiuLZZTL5ggAndWDWSWS2eNe8Uy5NQi+6sGgZIzPzuBc0xM0o+ghl1ZgghhCjOCB2+EC7BMSTgdt0DYvn3SMUX6IUbNdkeb0OlEIZc7V/xK+JhaHUf5jjiMVWbhQpEe7wNkmicGUXRbSZCCCGKswpqLNYNggFmVKMlNmW+5mrUCwwQvHPr8kPzB/iwTdkAnEDzRZlbwsd5pR3Es/y3M8PadDVVEoFanspskcObQ3m3WZeG2WBgDQ6ZAe0Gt8kZotxD5GSwcF/PGfJf7jLcJau9bm6v1HvDnSJAKuOGE2jJrSm1by0Wl9vFy7iRc9xJZi25eZ5JTQvBxdsPEllLkllOHLIyj3j7kdMGybULbmY+KXA+WZkKlQhxyEatEkJdD/zlTXeh9Oft+d4/zvqkpuGQM70GpWYry387M+S8mgel6s5qME07AhVCOOJYHRZZ8nBSiMKzmutockBCiM+pBZPHg315Ylg9jiEBSajFccQ3XZFB04CQRgiYqR8BE8LOsxQSCKgzE8BoUCpCCJFmhB4VKh3CmArPa68Wby0ZIaBCpUO9APjs5x6lZiuKOjMBrFIIxTTtCCyy5CEJFzgoFSGEdFBWQY1ndX+BASZUIFwsn6kfgXqh6Xm6dt0xUGfGw2xMj132dwEAw1TZig8SVYoYPKcehjk23w1KFcw8/f4SQtxjFdSoRBg0MGFk6H0AAKM/dGHoyoyi/LczIwiOgVkdINBXUAncYEFeMKhUkGvbobd3Nr7T/qBUIX93fL1E4Jocbge0urhMqeXKGe5eKlCP+17yjjFOvaYRRc1OV77UzMaNxpSzb+QFFnMCPDlTHLSzMucyqeOO9z60nd5AKVLnmYvBlbKmHZDYXm6wsNS+4a1PYhu4LbNLHKO8Y4H3nklNo8Gb7oIXVAyJwGCp/e1uUK6nPst5x6grzbqA6SAkP59lbBsFACuLxpnxEBvTNz2gbymDXixXgj8MShVsNMyGp+178Zw9H53sVof3dwr7AbBrFHt/CSGEuMZ/r8wEuOZbD63tsb4u/v9G7T1ur6N5UKpurAYzdKPwsXkNgKZBqSoELV7UXuP2OogjA8zojhpchFqny8R/xQ9iWYb6bl81kRASCOg2k6KoMxPAJAel0qV7dVCqYFIphOJx1TDAD+56EkIIaUKdGQ8ZpmoaqtsGPb60vwEAuEHzD6ihbIBoU3BbqEOvXNagVES2CiEcjwhZWMh2ow7hSEA5AOB61QTF319CSMckMAbhAuJ12lteMKPOjIeInYlWx5caJo91MtSCyTnYl3hEHKvDU2wPwlHvUJ7AKlGlolOKEOICus2kqMD55JXqdcoYSpz/es/EQDdn1ghMOO8tCW4mj2RUPCeKXk4mkYxsFV62jBRZGU6uZhJJLFcKN3NJzvQNLhwLMawBL9l3IRl1KEY4nhNuED9Enmdf4inm5vg+MtrFzYIDPzOG+07wzik5tyb94JcgN6tE4jOBW1fL/wgUtFrnQo3ExyUv80nqc4mXASaVYcTLTONmq0lkQ0md6xy8LCfJbDXechXIknSZnGwoV5p1IW33h+xa4iBwOjMBSi2YFAn2Jf7BCB1OIgoA8LhqGCqEcNzDbsFL9l04iSgYofNxCwkhgYBSs5VFnRlCZLAKajyjusZhnJkKIRxTVSOkJ/ckhBDiUdSZIUQmMei6FZo6ghAiC8XMKIo6M4QQQoiX0W0mZQVOZ8bdQF8pSgRycQI0PTW8v6xgXxnBsxKN4Je7uM8kt0FO8K2c4cE5gYluByF7KEBccrtkrE9O0DUvMJhb191jBuAeo7wpIGJYA//WnEQbXA32FXQScUucQF1Bzx+tmYU6l7MQibpaGYG2nGBTocHMr9voXC7nU0XgDe8v8TkqazoD3nHj5vkra4oSNz9bpZYLNCURtE0k4NZV4POKKIumMyB+xcb02GFeix3mtTQtQAehYTbMsn6FJZYdiGN1AJrS25dYdmCW9StomBczYQjxF8wDjyBGnRniNzTMhk5t5puKYQ30ZRfgDDCjO6tBMmqxyJKHNHsFFlnykIxadGc1MIB/ZYIQQlxFnRniH+waPGYpwGzrPrEomtnwrHUvHrN+Rx2aAFYphGKadgSKEYFk1GKZdQeSUYtiRGCadgQFT5Og1Bwzo+QjmFFnhviFHdZ3kYFjGIATYtnH1nfRC+XIwDH69R7gKoRwLNSkO5Qt1KSjQgj3UYsIIR0JdWZIQKBf74EtjtVhujXfoWy6NV+MoSEk6FDMjKL8N5uJufju8KLz20aaeyojpT3ezIxRAi9iX4GsAS7OfhiufRAA0MNeizdtGwAAZYjHPNVV+FnV2TPtcKFdsiiQoeTudAbSi3Vxugq78sdoDGsQY2SKEYGFmnRMt+Y3xdBY85CrG+laZ5WXucSbjoA3vQAAIdR5HSwshFvXGuN8xchi4ExxAMAa5pzNpLLw3xtNvfPtUm0NPxuKtxW8yQQljwMV59asxN1agbNvuRlOgNufFe4et3LImQ6luX7b13DPHYXGxgz2W0NK8uNvVxJM1IIJiajEdNsesSwcdXjKvhuJqPRhy4i7jNDhpBAlxsj8qIoTY2hOCtE0BQQhxG3+e2WGeISs8T68qPnXe1SrWTlLEIGeKMci607kajLoVlOAsgpqPKu5zmkKiFztjTCq9DQFBAlOjCk7WasfTPzqS3RlJohomA2zLF9hiXk74lhd05guje/jQ9O/8Zi5wKcZQ82/3mugwr3a23CjbgzmaNNRjHD69d4BWAW1U2e0UgiljgwhRBF0ZSaINI33UY1kVotF5i/wnGYYdp57rtu58T7azjnkLZK/3jUZPr9qRAghSqPpDJTlv50ZQbjwKQzaBlFeyBDTrg53L1XuzWHwpdbVJnCtEiGYpsvAPNNeJLFazLHsw6vnnpuhG4VqqAHWFL+iCJn7wOUJHGUMJS45bLmrgYVeDur1GE4bGCfYlxsU3PSES8uUrCs1RYGMc5w7nQGnTM4UBbYofue9Ick5MLgugf+eWcOct0HdyK2K0D+dl6Gy8fejYOJMfWC2OFeUE+SqkjjuONMsSOKdO3KmHXFzigI5Qb2uLLd1HWZnTq/hrk+JaQtooklF0W2mIFMhhKMXyhCBOiSgXCz/2LwGO01vY6fpbR+2jhBCiDd8+eWXuOWWW5CcnAxBEPDJJ584PP/AAw9AEASHx0033eRQp7KyEmPGjIHBYEB0dDTGjRuH2tpahzo//PAD/vKXvyAkJAQpKSlYuHChU1s2btyI3r17IyQkBP369cNnn30me3uoMxNkaFwPQgjxPcGu/EOOuro6DBgwACtXrpSsc9NNN6GkpER8fPDBBw7PjxkzBkeOHMGOHTuwefNmfPnll5gwYYL4vNFoxMiRI9GtWzcUFBRg0aJFmDt3Lt544w2xzt69e3HPPfdg3Lhx+O6773Dbbbfhtttuw+HDh2Vtj//eZiKKa8oY+gJvIBwliMBC7Q1409I0psv3SMV8XTqqKGOIEEI6vFGjRmHUqFHt1tHr9UhMTOQ+99NPP2Hr1q04cOAABg8eDAB45ZVXcPPNN+Oll15CcnIy1q5dC7PZjHfeeQc6nQ6XXXYZCgsLsWTJErHTs3z5ctx0002YNm0aAOCZZ57Bjh07sGLFCqxatcrl7aErM0GkKWMoGjWCCnP01+C4KlJ8rkLQol5gysXLEEIIkRYAIwDv3r0b8fHxuPTSS/Hwww/jzJkz4nP5+fmIjo4WOzIAkJGRAZVKhW+++Uasc/3110Ona8lGzczMxNGjR1FVVSXWycjIcFhvZmYm8vMdRww/H7oyE0SsghrPaltlDLU6+F/UXgMIVt81jhBCiNuMRqPD33q9HnqJoPj23HTTTbj99tuRmpqK48eP48knn8SoUaOQn58PtVqN0tJSxMfHO7xGo9EgJiYGpaWlAIDS0lKkpqY61ElISBCf69SpE0pLS8Wy1nWal+Gq4OvMCCrXMknkRKt7ZBh8z6Qit84YUgsm3Bjyd+nKklkDnLbJGXZcTnaPjCwaTwx9zsv4aWcBrtf1dpaUi8uV2ofcLCdPZWTxspYA/vGo4XyEafivZyHO0xFYovkf8g2xzttWn8g/H6wRzvtGe5a/b9Qm52XwMpwkXWiGZzO7Alk4bnL3PJXDlcyn1nV40xlIvMjFFkjX81RqdkpKikP5nDlzMHfuXNnLu/vuu8X/9+vXD/3790ePHj2we/dujBgxwp2meoTsT6M//vgDf//73xEbG4vQ0FD069cPBw8eFJ9njGH27NlISkpCaGgoMjIycOzYMUUbTQgh/kBrtSLmzwacyH0MJ3Ifg92kQZzRCK2VrnKS82geAVjJB4DTp0+jpqZGfMycOVOR5l588cXo3Lkzfv31VwBAYmIiysvLHepYrVZUVlaKcTaJiYkoKytzqNP89/nqSMXqSJHVmamqqsK1114LrVaLzz//HD/++CMWL16MTp06iXUWLlyIl19+GatWrcI333yD8PBwZGZmorFRYuAFQggJQFqrFcs3vIt/rWrJzEiqrsaGV1Zi+YZ3qUNDfMJgMDg8LuQWE8/vv/+OM2fOICkpCQCQnp6O6upqFBQUiHV27twJu92OIUOGiHW+/PJLWCwt4yPt2LEDl156qdhvSE9PR15ensO6duzYgfT0dFntk3Wb6cUXX0RKSgpWr14tlrW+H8YYw7JlyzBr1izceuutAID33nsPCQkJ+OSTTxwuWxFCSCCLrLGgS6kRMdUtP9RWvPEBOlc1oMFmRHRDPSoiDT5sIfFnvh4BuLa2VrzKAgAnTpxAYWEhYmJiEBMTg3nz5mH06NFITEzE8ePHMX36dPTs2ROZmZkAgD59+uCmm27C+PHjsWrVKlgsFkyaNAl33303kpOTAQD33nsv5s2bh3HjxmHGjBk4fPgwli9fjqVLl4rrnTx5Mm644QYsXrwYWVlZWL9+PQ4ePOiQvu0KWVdm/vvf/2Lw4MG48847ER8fj8svvxxvvvmmw84oLS11iEyOiorCkCFDJCOTTSYTjEajw4MQQvzdN8ufRJ/qIofBJwdX/YwI1KFPdRF1ZIhfO3jwIC6//HJcfvnlAIDc3FxcfvnlmD17NtRqNX744Qf83//9Hy655BKMGzcOgwYNwv/+9z+HKz1r165F7969MWLECNx888247rrrHDohUVFR2L59O06cOIFBgwbhsccew+zZsx3Gornmmmuwbt06vPHGGxgwYAA++ugjfPLJJ+jbt6+s7ZF1Zea3337Da6+9htzcXDz55JM4cOAA/vnPf0Kn0yE7O1uMPpYTmbxgwQLMmzfv/CuXmhGUFxDXtm7rv5ndteBeJYI52y5SIrBRTpApL3hOkWmLeEF5coZJ55ETQCyF1y6J94YXpCod0OrmtnmKu1MfKBFY7C45Ae284fWlhtznbAN3OgSp13PK7Rr+cWDnNJepZf705ewGFefOkyB1jPKCdXlTH0hNReBuoK0XA3XlHLeKnNOtl9v6/2q1dAB665e7UAcABGYHODNQAPD5dAZDhw4Fa2em7W3btp13GTExMVi3bl27dfr374///e9/7da58847ceedd553fe2R9Qlnt9txxRVX4Pnnn8fll1+OCRMmiJeYLtTMmTMdgpVOnz59wcsihBBvuXjOy7hm8nwc7NRbLCtDPH6M6Yrrcp7xYctIIGi+zaTkI5jJ6swkJSUhLS3NoaxPnz4oKioC0BKdLCcyWa/XOwUsEUKIv0torMQH/3oZvatafoCdiQlBn8rTWLtuOeLO0i1zQrxFVmfm2muvxdGjRx3KfvnlF3Tr1g1AUzBwYmKiQ2Sy0WjEN998IzsymRBC/Fl1WBh+iU9EUUysWDZ2wjicio3FsfhEVIeF+bB1xO95KDU7WMmKmZk6dSquueYaPP/88/jb3/6G/fv344033hADfgRBwJQpU/Dss8+iV69eSE1NxdNPP43k5GTcdtttnmg/IYT4hEWjwT/vuR8RrA7doxYDAMoQgTsfzUG9NQIWdWCNSWpleuxsfAsAMDzkIajR4OMWEeI6WWfblVdeiU2bNmHmzJmYP38+UlNTsWzZMowZM0asM336dNTV1WHChAmorq7Gddddh61btyIkJERey1ib6Cg5I1+2revuqJnN3AyuZFKBejKCM90OXJUK6pOzXH8NLOQFiPJGrpUgZ2RS/mjBMrZLiYBcGaMjux1YLIergbpSL5eq6+oxKmNd6kb+/tKddX4vbRW8/aVFveb/t3fmYVJU58L/Va+z0bPALIxBBpHN/X54P4RPI7IjGHBXvIJCrlEhN0DYNGwKgqIILhD1k4toNK75SAJK2FFkEbhi1IgiYTECw8gw08za0931/TFMzzR9auiia/b39zz1TPepU2epOn3qnXPeJYXEouqUElJweXVcCo3M+JORc4DjtE/ZBq1MkV6h0CZVKQWDWrnTYA7Sz/7Pvr7/yzdU6o9xvjMq115T6bfGZ4cd7Syv0kplXyMFYHt4fVrQDiUGTWtg0+zmhul/HYYOHcrQoUMNz2uaxuOPP87jjz8eU8MEQRCEusevu0HXCVBtchvAHRJoJPhsHdHA1kzNjaa1DioIgiBYStXWUk22lC8Nfe7vqlx5T9NL8eLCb4kvCEGwlnp0PiEIgiA0RdL1Yp6tWMd0/1YcusF2uWAKMc22FlmZEQRBaAE49AAevYR8rdrKKk0vYYD7fvzYCOAOrch8QQc6coJjJPFi8Eqm+LeTTRHo4MFHPvEN1Q1BUCIrM4IgCM0chx5geukmFpavJT1YDEB6sJiF5WuZXbEeNyXYqdaNecLVg0JsXMwJFvvXkU0RR0lisrMv+ZoIMpYQ1K0/WjCNd2VG08KtEsxo19dmzaDZwjXcowxFUJeYsYxpFG74o2yDkVWKHqsIbYXVkOK5m3kOpiyX6pMYLeMM+2XG8kk1PgxDFCjaYPBbj3rkq8IAAFpppHWQo0it/5GoiL7iKo5eV8RRYmAldSpSmdZWaGDuUh7ZXl1pzWSw7VMj3RMsoX3gFNl6EQt863ja2YvJFdvI1ivNsJI1HydIDOX/yZbEAkdPFvvXhdIWOHqSp1XniYZofyeWzGsKCyOjsAOay1n9Oc5V/TkhAe2s16KWEGmJq8cZRKJ2nFVfoBxOGjVYsBJZmREEQWjm5NsSmBI3gKNaEtl6EYt8a8nWiziqJTHF1Z98LQGHVs6A+HsZEH8vbfV8pvjDgwNP8W8nXS9uoB40Q/Q6OFowIswIgiC0APJsSTzt7BWW9rSzF3m28NWWNL2EBb7qraXxjv4cJYlsini6YgNpujjTswINixWAG7pDDYwIM4IgCC2A9GARkyu2haVNrtgW0qGpwoubw1pKSEfmH7Z0Jjv7cpQkDmnJeHEhCI0NEWYEQWg2OPQAqf6isLRUf1GLNydOC5awoKx6a2mCq3rLaYFvHWl6td6OX7Mz13UdE539QzoyeVoiE539meu4VvzMWIXEZrKUxqsAHAtnKyuerfBbU/nThIKo5e2qNWsdLRoalKtS1jVUxDSRN1aUdZkRwc0otEapFGyWRqssHCsmxpKRUq6hYrAKhaKrXsP1vEMP8GjB38jx5zM1/VbyHK1I95/mqbwPOORszby2wyJexPbT6j7Yyv0Rac5Cg5d4IPL52soViroYhChQKPoC6GVlkYkVke0yDJNS4557dSeHtRQAJrv6kaclMtnVj6d96zmkpVAYcKJr1fkr0MjHHfabyK/yEKz4ncQ6xg0NHpRKvQZjRjGWair6hqUnVm+tafE1VprSU6E0/NmVp0cqPftS1K/OgCu8Df6KMvhG3VzBWpqnMCMIQovDEyyjvT+ftgEvT+V9wDNpA5iUv5a2AS8ArQKlnHIkNXArG4aq1ZZWennItDpPS2Sia0ClV9+YTQwFs0hsJmuRESwIQrMg357I1LRhHLN7aBvwsjDvfdoGvByze5iafmuLFWSq8Gv2CB8x+Vq8bBs1FGLNZCkizAiC0GzIs7fimbQBYWnPpA0gz9GqgVokCEJ9IMKMIAjNhvTAaSblrw1Lm5S/lnT/6QZqkSCo0XTd8qMlI8JMA+DQAxG+GtL00hZvcSEIsZAWKOap/D+HtpZ+m35baMvpqbwPIqycBEFoPjQdBeDaQhSczdna9rVZJhmdi9LaxQyaTauMkRLcTo5ewGRHH/K0RNL1Yp72b+SQlsJce6/a97BV2v1m7o2Z9hq4AldZpijbYGCpohlZtkSJmf6as3wy8cxNjA9TYQPMjDEzIQaUVUW2od7DZZixfFLl9VVbnnh1O4dtqaDD1JRfkKe1YkrKL3jq1F84bE/jdIUN/OHhBDS/+h8I5X0wGneq/4gD6j4owxH4Iy2UAHSfIq/q3hj8R660MLTAsi7WcVNX405luaTFq+NIBVM91Z/jq68rbeeh7CxLNG/7yNdkaaa6vQF3eN+CZRr8yaDBwTOHVTR8ZJ4GpekIM80EDz5y9AKyqRRgFtivYUpgB9kUS0RaoVng191sLHsVgD5xv8ShRcYjqpN6NTtPJPXFY/OTbz/jH8Xeikmpw/Ha4giIoqvQiLB6a0i2mYR6JV+LZ7KjD0dJJJtiFgc2kE0xR0lksqOPRKQVhBjwa/aQIFNFvj1RLHYEoZkjwkwDkKclssB+TVjaAvs1piPSCkJjIqC7IejAU0P3K4AbTzAAQVkEFoQwxDTbUmSGaQDS9WKmBHaEpU0J7GCy1kcEGqHJsrF8WUTalrIloc83xo2QFRJBEOqEpiPMGO0HqpTyagtncK68ofoU2lQxKlxCpdXS0/6Noa2lmjozT/s3MtHRr3KryYK6TLmKV91Ho3uuKrcurjfCyH27AiNlYaVypEoJUaUUbBJTrt6teO5RV1W/yr4eysknITxR9SwNxq3Kbb+yDxUG4QGCCkFKpZBbWbA6XUVQ0QejZ64KyWA0npUKvIpQAka/M1UbTCiYmxm3ZvKqlasNjAVUoQuc6hAFOCMDYOpJCYqMUJFenW6Pqy6vqK2dMl94X7wdI/vmbK+2jHM7wp9loKQWfTGr4ymJzoxQn3hxcUhLCenI/MOWHtKhOaSlWB6R1qEHSAuW4NddrC1ewdriFXgCATEDFyynj3sMd7ju4gs6hNJyyWA/mdzpupt8Tf1iEQRBiJWmszLTTPBrdubae1VaLdWMkeLoVxkjxcJleIceYHr5FtoHC5jovimUPr9sHXl2F3Pd18uyv2AZdq2cU5qDV5yXw5kFj0SKme+6llN2mWoEoSYSm8laZGWmAaivGCkevZz0gI9kPcijZdur09FJD/hIaOF+CQTrSdeLGV+xMyxtcsU20oPFDdQiQWikVG0zWXm0YESYacbk2xLoRC5JFHMlB0PpmZygE7m8X/aHBmyd0NxI00t52reeiznBj1orxrsGUqjZyNaLWOBbR5pe0tBNFAShmSLCjCAIlhDSB9OSmOLqzz/sGUxx9eeolsRhLQUv7oZuoiA0GrSg9UdLpulsZNdVOAPD+mJ0ba/ASOO/Lq1K7owbwdyyDXjQyeQEAF/QgXlxPcmzncMM3Mw9N2M5pXLJbuZ6o7wmXL1HG1LBMByCGYuqGJ+vKWuoWNtgwornbEuxgObgCdd1tNLLK7dRdZ0TWgITXQM4rbmj30Y1Ee7CzJ3RFPfR0BJIdb2ZMBoxWihVZo2ybRaExrBijKmINpSHZjNqq4nx6IgcX7oixAGAP746r99d43OiRoXzrHGdFPks2ySWRqQBBM6yfgw41aEqBOuRlZlmTFqwhGfL/8rFnMBL9Q+0Iyd4tvyvZOgFDdc4oVlSX/pggtDkEZ0ZS2k6KzOCabyam8O2FAjCdHdfKKtMP0YSeTYXXk2W/QVBEBoEq732tmxZRoSZ5oxfszPXfT0evZxTNicDEkcBMCP4c7xmlv0FQRAEoREjwkwzp3LZP9xZWb5NnJcJgiA0JBI121oarzCjn7UGZ0YZ1VQ9JpR6Y3Q1X9/u49WNsKANUSrrKl2RAzhMDDvV8zFSVrQrFADN/MAVipiG4RBiVRA3yFtXiphqpUszCt4KRU4TbvR1C9bAVeNJ90cqWBo+MxOhE5TXG50wo7CsVAA2cW/qKMxKtIq6ZvNGe30siufVjYi+Dfby6vtor2EG5CjRcZ4VzsD1U+S8kkuaum0V4W0LlpZF3SYhNkQBWBAEQRDqmwZWAP7444+56aabyM7ORtM0Vq5ceVbzdGbOnEnbtm2Jj4+nX79+7N+/PyxPfn4+99xzDx6Ph5SUFMaMGUNRUXjcqr///e9cd911xMXF0a5dOxYsWBDRlvfee4+uXbsSFxfH5ZdfzocffmiqLyDCjCAIgiDUPzoQtPAwufhZXFzMlVdeyZIlS5TnFyxYwPPPP89LL73Ezp07SUxMZODAgZSVVa823XPPPXz99desW7eOVatW8fHHH/PAAw+Eznu9XgYMGED79u3Zs2cPTz/9NLNnz+aVV14J5dm2bRt33303Y8aM4fPPP2f48OEMHz6cr776ylR/Gu82kyAIgiAIdcLgwYMZPHiw8pyu6yxevJjp06czbNgwAF5//XUyMzNZuXIld911F9988w1r1qxh165dXH311QC88MIL3HjjjTzzzDNkZ2fz5ptv4vP5+O///m9cLheXXnope/fu5dlnnw0JPc899xyDBg1i8uTJAMyZM4d169bx4osv8tJLL0XdH1mZEQRBEIR6pkoB2MrDKg4ePMjx48fp169fKC05OZkePXqwfXtlnL/t27eTkpISEmQA+vXrh81mY+fOnaE8P//5z3G5XKE8AwcO5Ntvv+XUqVOhPDXrqcpTVU+0yMqMIAiCIDQTvF5v2He3243bbc6n2PHjxwHIzMwMS8/MzAydO378OBkZGWHnHQ4HaWlpYXk6dOgQUUbVudTUVI4fP15rPdHSeIUZTQu3vDGSOs1a52g2S7T/6xwjy5igwqLDoDtKl/1G1huq+2iQV2lN4DQxlFTXW/FMVJYtRlZDsdalHI8GfntitPSI2VLEOHNkmpnrrbC8MmGdowdiDEGhwkRYClPEaqFkhBkrOhPEbO1mplyF1aHRuFNafxm9C1Tjo9ynzOr0VqfXtF5KOhrAUR4+j9jLIuc2/w/q37q9/Kwm+Wz8oG7tGad5FlovnimqXbt2YcmzZs1i9uzZ1tXTSGm8wowgCIIgCKb44Ycf8Hg8oe9mV2UAsrKyAMjNzaVt27ah9NzcXK666qpQnhMnToRd5/f7yc/PD12flZVFbm5uWJ6q7+fKU3U+WprAEoUgCIIgNDPqyDTb4/GEHecjzHTo0IGsrCw2bNgQSvN6vezcuZOePXsC0LNnTwoKCtizZ08oz8aNGwkGg/To0SOU5+OPP6aioiKUZ926dXTp0oXU1NRQnpr1VOWpqidaRJgRBEEQhPrGSrPsqsMERUVF7N27l7179wKVSr979+7lyJEjaJrG+PHjmTt3Ln/5y1/48ssvGTlyJNnZ2QwfPhyAbt26MWjQIP7zP/+Tzz77jE8//ZRx48Zx1113kZ2dDcCIESNwuVyMGTOGr7/+mnfeeYfnnnuOiRMnhtrxm9/8hjVr1rBw4UL27dvH7Nmz2b17N+PGjTPVH9lmEgRBEIQWxu7du7nhhhtC36sEjFGjRvHaa68xZcoUiouLeeCBBygoKODaa69lzZo1xMXFha558803GTduHH379sVms3Hrrbfy/PPPh84nJyezdu1axo4dS/fu3WnTpg0zZ84M80XTq1cv3nrrLaZPn86jjz5Kp06dWLlyJZdddpmp/mi6KX/vdY/X6yU5OZneDMOhOc99ge3cwRLjEtz81bsCgJs8oygrKT/HFbETq3twUwqxBspzSkVdI6VeVYgBIwVApQJfZJphOAPl9QZ5zQxPhTKn7jdQ8FQoC6tc4xu6qlfVFaWCqlmUbvgxOcZMKF1GjZGSqwmFVFPKzao+NALl2TorN5b6zaIaCwbjLtaQG6bmO0Ve5TgANFfk+0Kr8eINIyE+9NEd72Tll/MAGPa/H6O8tCIsazDBxdkEner22nzh98wfKGPT/zxJYWFhSI+l6h3X97IpOOzmt4CM8AfK2fDVgrC6WhKmfgU5OTlomhZxjB07FoCysjLGjh1L69atSUpK4tZbb41Q7BEEQRAEQbASU8LMrl27OHbsWOhYt24dALfffjsAEyZM4K9//SvvvfceW7Zs4ejRo9xyyy3Wt1oQBEEQmjINHJupuWFKZyY9PT3s+5NPPknHjh25/vrrKSwsZNmyZbz11lv06dMHgOXLl9OtWzd27NjBNddcY12rBUEQBKEpY7UA0sKFmfPebPX5fPzhD39g9OjRaJrGnj17qKioCHNL3LVrVy688MJa3RKXl5fj9XrDDkEQBEEQhGg5b2umlStXUlBQwH333QdUuiZ2uVykpKSE5TuXW+L58+fz2GOPnbtCI0+/0Sja1ZbH6FyMSnUxe9Q00S6loq8RRnlVbTNQtIta2dcdqTgHoCsU9Qw9CJvpm68iIkkrU3sA1csi01Tegg3/11H8F2TU0lgVg82MGyPlSKUipVnv2Wehm/CjbIUXY5UitDmPydFdb5Zo22V4faz3phYDAIcewEM5J0hlY9mrANzqGkGJpuPXaowVVRsM5kDNVo/KzSoMlPL1CoUCP4ofOoQZAOj+6nlKO1mIVho+Z9gLI+cmQ7OTs8aCHlTPP5UnZWXGSs77jb1s2TIGDx4csic/Xx555BEKCwtDxw8/GDp/FgRBEKLEoQeY7vuEheVrSQ8Wh9Kf9G1gesVWHHodhXIQhAbgvFZmDh8+zPr16/nTn/4USsvKysLn81FQUBC2OnMut8TnEwRLEARBqB0P5aQHfSQT5FHfDt4JpesQ9JGga3hjX5gSzpcgxsu551teC+a8VmaWL19ORkYGQ4YMCaV1794dp9MZ5pb422+/5ciRI6bdEguCIAixka8l0IlckijmSg6G0jM5QSdy+cD3VgO2ThCsxfTKTDAYZPny5YwaNQpHDUdrycnJjBkzhokTJ5KWlobH4+HXv/41PXv2FEsmQRAEQaiBputoFuq5WFlWU8S0MLN+/XqOHDnC6NGjI84tWrQo5NK4vLycgQMHsnTpUksaKgiCIJjjTtfdzPVtxINOJpURjr+gA0+4evCTltjArWvhiAKwpZgWZgYMGIBRBIS4uDiWLFnCkiVLYm4YmhadJUsUVkd2hdVFml6KF1e4Rn8dU1fhDIyeh9qFvZkwCQZuwx2KdEU4BD1OrQsV9MRHpFV41JZPgTiF9ZaB3qKzMNJywFFQosyrGlm6wppJQ2UhAbpRmAMVZixmDFzIK1GNESPLFtVYMGPNpGqXBS77Y7UmitW1vpnfpJm6TP3WY8WgrlS9hGcr1pFNEd+TEUrvyAkW+VYz0dmffO3Mb1HVLqP+1hh3Dj1Agq7xgf+PAPRxjiadAuvmVkUbdIMpTFOFGDEqt4blk65Vj+NgSQnBkloskM7FWfNCUI+hLMEUzT7QpEMPMC24OywtXS/mmeAmDpHMHFuvehVomiLlwSQ2/7QAgN5tphBHaQO3SBCEc+HFxSEtGXT4naM3VXL5MZI4oTnxov4HIloceoDp/q1k6BV8cCatjV7Ms/51HNKSmeu4VubW2gjqoFm4mhKjYN/UafbCjAcf7al2xNdN/4nxwS1kUxw6n0/kSoFQjV1hwpkaKOa0LU4mK0FopPg1O3Md1+LBxynNQX/XPQBM1/+PJSsnCbpGhl5RaR11ht/5PyOZ4Jl0mVuF+sOCcKuNm3wtnkdtPw99XxDcTDbFHCWRSbYbqpdZhQjKg0n4A/HcX/j3UJovmEiST+eRE5t59NQa8VUhCI0Yv2aPmOPytXhL/gn5wP9HOpEb0sUBuJKDJFFMJ3Jlbj0XEpvJUpr9ygygVHRbYOtBnijA1UrV1tKGGmnb8mcB8D5wtCKZVsEyTtnlPgqCIJjDagFEhJmmgdFDj0Kfro1eHJE2JbiTSbYbDAUapQKggXKmSrkyVmVBQ5fhMYZZMHIFjiocwTmY2vrmakFGEY4gmKBWAC5Lj4tIK7pAPRTLUyOfgy0yagEACccjn0PSv9T9cipCDGgVkQXrfrUCcMxEoVx5PhiFM9AUCtoqjJTJlb8/o9AJJpSYY1XgrSvqql1WhHUwUZmqUHXe81A87+McTRu9mN/5Pwv5scklAy8av3P05pQVr5dY74FRv2oaQtQc2xV+UMwD542sXNcbzX6bKU0vZV7w49D3KbbeHCWRbCqVgNN0UWY1onebKfRuM4VeadWxs77iEnJJ58HU0eQ5WjVg6wRBaEjSKWCR/0M61thm8qJxMSdY5P9Q5tZzIdtMltLshRkvLg7jCX3/RmvDJNsNHCWRQyTHrNHfnHHbinDbisjWc0Np6eSRwU/M9H5Auv90A7ZOsAK/7uJvhcv4W+Ey/Lr8FoToqbKWOkZSKO13jt4cJYlDmsytQv3SdLaZzhO/ZudJ2zWsrJGWpyUywda33v3MNEXSAsVMO/UJ75/5PtNzI7OKV9I24OWpk/+P37a5VXRmmjAqBe60YAlezS2/DaFWalpL9dcqLaVO4WCis7/MrdEQ1LFUz6WRbtnWF81+ZQYgoPhRWaXR39zx2uIodun8aEvmP1rfy6G4RKa2vpljdg+HnK05bYvUfxEaP37dBUE7vy6p9sEU0N2kBiqYU7SZ6aWbxFJNOCd1aS3V7NGD1h8tmGa/MiPEhl+z80TyADzBMvLPrMDkOVrx2za3ip+ZJswG7+8B+FuNtM2nFwPwDvBjwINHLydfS6j3tgmCIJil8QozusVLcGfQbFqYlYCRdYEy3cASIFbLhzpxcW4WVR/OSPp+NPJt8dWSv93FKbsnPKsixEEgSb1nXtomcth5L1I3y39BWWSzfOrn4I+LrM9Rpm6Do9AZkaaVRqZhYM2kqdysG4WVUKTp1O+qh6GVkgFTEgeRb6shyKis4Mz8dqzAjHVOLGUaEWtdJtugB6Otz8DK0oRFZrTXVxYS4z0zMd9pZkJumKHmeK45XnU98rdiZjyfdW/02lY3JTaTpTReYUYQhDqjT6sH0ew2ArqbzYWLgEqz2kSKmRo/kP22lIZtoCAIgglahM6MIAiVyr5pwcrAmw7Nh0Pz0SXwY+h8IsUkUsKjZetJDxY1VDMFoWUQ1K0/WjAizAhCC8ChB5heuomFxR+GBJWL/Xk8VfRhKM+0pMEc1VqRrZ9mQfGakOAjCILQ2BFhRmgSOP1+0nJLOXzvIxwZM5VguZOMAi/OuvLQ28zw6OW0DxSEBJVL/Lk8WrSRZIqpwMa4VsPY70xhSuIgjmqtOGxPwaupPTgLgmAB4jTPUhqvzoymVR4Wowf1BnOhXu+KviqlTZuBErPih2DYWpUSoeJ63a4uoUJhIFORqlaUy0ovxFERYP4TK8k6WEIXHgegM0d57ellfH9hBpOm3orfaef0qdSI6/3x6jYE4yKVfW2qkA5GSp+qZ2k0XhvBJJNPHFPiB7Cg9G9k66dZVFK5InOUJOYl9Ga/1hoCQfL0eH4bN7DSz0wQqpRLzSoQR02syqRmlILroi4z1xuVEWvemBWIjao3UGg3M48p8ppS6lWFzDAMbaMo1yivUViXaLHCDFrHYgVg64pqisjKjNDoSTwRIOtgCSm51TFTnpn1Z9KO+8g+VETKadkOiYY8WxJPx10XlvZ0ws/Z70gPS8u3JYjJvSAITQoRZoRGz7oxz9Il90cya8SA+V95+0mimK4nfuSnNIkRFQ3pwSIml30Slja59BNR9hWEhkC2mSxFhBlBaAGkBUvObDEVcVRLYkK8KPsKgtB8EGFGaPR0XzmDwf93PJ9ndAql5ZLBvowL6LN0UgO2rOng1dwctqVyVEtiSvxA/mHPEGXfesChByKiR6fppThauOt5gUq9HauPFkzjVQAWhDNkFJ/ilZlvknrCF0o7leGky4mjvPb4Mu57cpRsNZ0Dv2Znbtz1lSEKznj2zbMl8dvEGyWoZB3h0APMCG4jh0Im2W4gT0skXS/hGX0zh0hmDj3x15VXYaHxIx6ALaXpCDOGGuyqvMHav0dVn/VWB2asqDSVFj+YcgVuykJJJdUHDKwk7Ip0RV22crWFklOxo+EoVPf3ZEESXj2OfdlZ/Mx/GvIq00dOuJ93F/2e79pmciTYmooCB+5iheVEwMAiI1aLtkbqoMrIXb2mafiBfNzV1mi6Xvldh5DVkpG7+1rCXUTUpXKjb3S/zLzMo/0dW2JpElsZAd3N+uAK1gBFJPJMcBMLbD2You8km2IAPFpFZZBGM3XVhTWUAaaslgzKVc5jCqsjw/lOhZk5sMIC1w2q+gx+JmeP8zqzAhQiaDrCjNBiqXA4+PWEO0k5XUrH1Ln4fXZySeS26Q9QkJRAhUOGsdB4OUYiF5PH4uBGAI6SyCTbDRHRpoUWhqzMWIqscQpNggqHg7zU8K2kvBSPCDJCoyKguysPqnWQFmjXUUwCxVRu7y2w9SBPS2yoJgpCs6TRvgncCS6cWo2Ix0ZSp03lVCl8edWd4K7xWR1F+VxlAHW2nKvCim0mJSrHcKBe+nUZ3CunIrp0fGSaQ+GYDqDcFTnsFJdXtsEeecKviNAN4HZGlhvnVi/hx6mc5sVH9tcw6q1d4STQaItGNXYNtvDqDJVDMeXyuUG7TGwzqbDEUWUTUJrdGHwj9LnKN+SbfMCbZz4Xk8hUvuRR28/5qUqgibVfjXibCWdDbzMZtKvGOK/5Toj6/WDwWz97nFfoGhh5PgjqWOrprpFufdcXmt7INvW8Xi/JyckUFhbi8XgaujmCIAiCcF6o3mdVaX1TR+GwRSk8RYE/6GPDqRUt9t0p20yCIAiCIDRpGu020x3Z/xm+zWREFLFK3Alu3s99FYDbMn9JeUl57dcryrAsr4K6WmI1FdtKFUPFSB/FFblFo7njItKCqUnKy8vbRppRey9U34OyNop2GazKx52IXGT0/EttzeA+djqyXG+kmZVeVhqRBoAiwKWh5YSZLaW6WihVjYVYt7oMYwIprOgMxq2p7af63GYyE5tJkTcQdLJFr5xzhnEPp6tiomk2UvVSvLgIVJnD11W/Yt3qNjPXGM0Vim1tTbEdbHi9meegCjprML70GnndCS7eO7QEgNvbPUR5iS88s6IMwy3ls6jQfcYndd3arSGTc8fs2bN57LHHwtK6dOnCvn37ACgrK+O3v/0tb7/9NuXl5QwcOJClS5eSmZkZyn/kyBEeeughNm3aRFJSEqNGjWL+/Pk4ajzPzZs3M3HiRL7++mvatWvH9OnTue+++86/nwY0WmGmvMRHQIvi4ZgMCFdeUk5ZCxFmTAV0UwSg1BxGk4biZaUIaheMr4hIAygrj0wv86mfdWlF9MIMijJcirrOFBxZbmnkxKMr0gCTwkx0Ex/UnSmnaizoIswYE7MwE6TkTNeOazbsWnko7zFsgP/MUUu5sVKPwozmMNIti5zbNKeiv0ZzTT0IMzUpL/GFvx8MyohWmPHrBvNPI+HSSy9l/fr1oe81hZAJEyawevVq3nvvPZKTkxk3bhy33HILn376KQCBQIAhQ4aQlZXFtm3bOHbsGCNHjsTpdDJv3jwADh48yJAhQ3jwwQd588032bBhA7/85S9p27YtAwcOtLQvjVaYEQRBaKrYtXL6aXc0dDOExoxusQLwefwj5HA4yMrKikgvLCxk2bJlvPXWW/Tp0weA5cuX061bN3bs2ME111zD2rVr+cc//sH69evJzMzkqquuYs6cOUydOpXZs2fjcrl46aWX6NChAwsXLgSgW7dubN26lUWLFlkuzIjOjCAIgiC0QPbv3092djYXXXQR99xzD0eOHAFgz549VFRU0K9fv1Derl27cuGFF7J9+3YAtm/fzuWXXx627TRw4EC8Xi9ff/11KE/NMqryVJVhJbIyIwiCIAj1TTBYy575eXBm+83r9YYlu91u3O7I2Gs9evTgtddeo0uXLhw7dozHHnuM6667jq+++orjx4/jcrlISUkJuyYzM5Pjx48DcPz48TBBpup81bna8ni9XkpLS4mPt85xZOMVZs5egjOj/1Ebmi18H9bEPripvGYwo3Oj2gM20kdQhTMwcR+N9Dc0la6FYg/aVlSmvN6dF7mPnuKLVCAGSDgR/RB1eSPb4CxQt4FyhS6MwT56zCj0kQxR7cUb6ZWonruRjkC0y9kW+I4xFc7ADCb14xoljbS9ppR9VTp+Bnp/Kl9Vmlth2GHoV0vxzA0CKipHmNFvuuY8eB7vFmt0wOpmm6ldu3ZhybNmzWL27NkR2QcPHhz6fMUVV9CjRw/at2/Pu+++a6mQUV80XmFGEARBEART/PDDD2F+ZlSrMipSUlLo3Lkz33//Pf3798fn81FQUBC2OpObmxvSscnKyuKzzz4LKyM3Nzd0rupvVVrNPB6Px3KBSXRmBEEQBKGe0YNByw8Aj8cTdkQrzBQVFXHgwAHatm1L9+7dcTqdbNiwIXT+22+/5ciRI/Ts2ROAnj178uWXX3LixIlQnnXr1uHxeLjkkktCeWqWUZWnqgwrEWFGEARBEFoYkyZNYsuWLRw6dIht27Zx8803Y7fbufvuu0lOTmbMmDFMnDiRTZs2sWfPHu6//3569uzJNddcA8CAAQO45JJLuPfee/niiy/429/+xvTp0xk7dmxIgHrwwQf55z//yZQpU9i3bx9Lly7l3XffZcKECZb3R7aZBEEQBKG+aWDT7H/961/cfffdnDx5kvT0dK699lp27NhBeno6AIsWLcJms3HrrbeGOc2rwm63s2rVKh566CF69uxJYmIio0aN4vHHHw/l6dChA6tXr2bChAk899xz/OxnP+PVV1+13CwbmoMwU1cKdXVQriklOzOYUBA1VOpVKdUZKMYpHU6pPH2WqL3n2hV12c72unkGV75BBEoFWoVCedandlqllSkc5KnugdEEYUbRz0BhMWbq0eGcUrHR0GleHSnP18Vv3fAFYMZrc4yBZutzDjPTLiOlXpUjPCMFXpVnX5UCsIGSvK6aVwycU2qByLqMnOOFPfean4MKr7yK+2iJQntQh2gcw0aLSWHm7bffrvV8XFwcS5YsYcmSJYZ52rdvz4cfflhrOb179+bzzz831bbzQbaZBEEQBEFo0jT9lRlBEARBaGroOqZWAKMqr+UiKzOCIAiCIDRpZGVGEARBEOoZPaijW6gzU1dBapsKIswIgiAIQn2jB7F2m6lxepeuLxqvMKNp0bmZjkYaDdNcD0b30M1IubrCikbRdlU2Y0xlVqPqg5GFUqx1FUVZvxUYjQsz9anKMHG/TOWN9noz7TJbX7RtsKIPZiboYHS/HcP66up+xTyWLHixxNpfJQYWaH5FGarQGhjMFVaM52ixIrRNjTboNeZavcKHXqG2rDy/eiyYx4WoMKUzEwgEmDFjBh06dCA+Pp6OHTsyZ86csOUtXdeZOXMmbdu2JT4+nn79+rF//37LGy4IgiAITRU9qFt+tGRMCTNPPfUUv//973nxxRf55ptveOqpp1iwYAEvvPBCKM+CBQt4/vnneemll9i5cyeJiYkMHDiQsjKDgH+CIAiCIAgxYGqbadu2bQwbNowhQ4YAkJOTwx//+MdQsCld11m8eDHTp09n2LBhALz++utkZmaycuVK7rrrLoubLwiCIAhNENGZsRRTwkyvXr145ZVX+O677+jcuTNffPEFW7du5dlnnwXg4MGDHD9+nH79+oWuSU5OpkePHmzfvl0pzJSXl1NeXh76XlhYCIBfV3tujSCK/dcK3YbX6z3z2Rdd2THre9SRt18zKPtQj+2qM+16C3RmVGWYuV+x3lvDtprRMagDnZm66oMVbYg2ryX31gx19JuKub8qGvN4jhZrdWbC3w8V0b97osBPxZnqIvvsp8LSaAZVdbVYdBMEAgF96tSpuqZpusPh0DVN0+fNmxc6/+mnn+qAfvTo0bDrbr/9dv2OO+5Qljlr1qyqABVyyCGHHHLI0eyOAwcOhN55paWlelZWVp3Uk5WVpZeWlpp5rTcbTK3MvPvuu7z55pu89dZbXHrppezdu5fx48eTnZ3NqFGjzBQV4pFHHmHixImh7wUFBbRv354jR46QnJx8XmU2VrxeL+3ateOHH37A4/E0dHMso7n2C5pv35prv6D59q259guab98KCwu58MILSUtLC6XFxcVx8OBBfD4LrabO4HK5iIuLs7zcpoApYWby5MlMmzYttF10+eWXc/jwYebPn8+oUaPIysoCIDc3l7Zt24auy83N5aqrrlKW6Xa7Q+HCa5KcnNysBnVNPB5Ps+xbc+0XNN++Ndd+QfPtW3PtFzTfvtnOCqQZFxfXYoWOusKUNVNJSUnEQ7Hb7QTPRAXu0KEDWVlZbNiwIXTe6/Wyc+dOevbsaUFzBUEQBEEQwjG1MnPTTTfxxBNPcOGFF3LppZfy+eef8+yzzzJ69GgANE1j/PjxzJ07l06dOtGhQwdmzJhBdnY2w4cPr4v2C4IgCILQwjElzLzwwgvMmDGDhx9+mBMnTpCdnc2vfvUrZs6cGcozZcoUiouLeeCBBygoKODaa69lzZo1US+pud1uZs2apdx6auo01741135B8+1bc+0XNN++Ndd+QfPtW3PtV2NE0/UWHp1KEARBEIQmjSmdGUEQBEEQhMaGCDOCIAiCIDRpRJgRBEEQBKFJI8KMIAiCIAhNGhFmhEaDpmm1HrNnz27oJjYa7rvvvoj7M2jQoLA83333HcOGDaNNmzZ4PB6uvfZaNm3aZKqeQ4cOGT6PHTt2nPP61157jZSUFFN1NnY+/fRTHA5HhCPQnJwc5X0aO3ZswzRUEFoQpkyzBaEuOXbsWOjzO++8w8yZM/n2229DaUlJSaHPuq4TCARwOFruEB40aBDLly8PfT/b/HPo0KF06tSJjRs3Eh8fz+LFixk6dCgHDhwIeeuOlvXr13PppZeGpbVu3fr8G99EKSgoYOTIkfTt25fc3Nywc7t27SIQCIS+f/XVV/Tv35/bb7+9vpspCC0OWZkRGg1ZWVmhIzk5GU3TQt/37dtHq1at+Oijj+jevTtut5utW7dy3333RThkHD9+PL179w59DwaDzJ8/nw4dOhAfH8+VV17J+++/X2tbcnJymDdvHqNHj6ZVq1ZceOGFvPLKK6HzmzdvRtM0CgoKQml79+5F0zQOHToEVK9KrFq1ii5dupCQkMBtt91GSUkJK1asICcnh9TUVP7rv/4r7CUYLW63O+yepaamhs799NNP7N+/n2nTpnHFFVfQqVMnnnzySUpKSvjqq69M19W6deuwurKysnA6nQB88cUX3HDDDbRq1QqPx0P37t3ZvXs3mzdv5v7776ewsPCcq2uzZ8/mqquu4o033iAnJ4fk5GTuuusuTp8+HcqTk5PD4sWLw6676qqrwsrUNI2XX36ZoUOHkpCQQLdu3di+fTvff/89vXv3JjExkV69enHgwAHT9wDgwQcfZMSIEUqP5unp6WH3Z9WqVXTs2JHrr7/+vOoSBCF6RJgRmhTTpk3jySef5JtvvuGKK66I6pr58+fz+uuv89JLL/H1118zYcIE/uM//oMtW7bUet3ChQu5+uqr+fzzz3n44Yd56KGHwlaKoqGkpITnn3+et99+mzVr1rB582ZuvvlmPvzwQz788EPeeOMNXn755TDhavbs2eTk5Jyz7M2bN5ORkUGXLl146KGHOHnyZOhc69at6dKlC6+//jrFxcX4/X5efvllMjIy6N69eyhfTk5OzNt399xzDz/72c/YtWsXe/bsYdq0aTidTnr16sXixYvxeDwcO3aMY8eOMWnSJMNyDhw4wMqVK1m1ahWrVq1iy5YtPPnkk6bbM2fOHEaOHMnevXvp2rUrI0aM4Fe/+hWPPPIIu3fvRtd1xo0bF8pftZW2efPmWstdvnw5//znP5k1a9Y52+Dz+fjDH/7A6NGj0TTNdB8EQTBHy12jF5okjz/+OP379486f3l5OfPmzWP9+vWh/6Yvuugitm7dyssvv1zrf8033ngjDz/8MABTp05l0aJFbNq0iS5dukRdf0VFBb///e/p2LEjALfddhtvvPEGubm5JCUlcckll3DDDTewadMm7rzzTgDatGkTym/EoEGDuOWWW+jQoQMHDhzg0UcfZfDgwWzfvh273Y6maaxfv57hw4fTqlUrbDYbGRkZrFmzJmwFp2PHjrRp0+ac/ejVq1dEXLaioiIAjhw5wuTJk+natSsAnTp1CuWpucJ2LoLBIK+99hqtWrUC4N5772XDhg088cQT57y2Jvfffz933HEHUPncevbsyYwZMxg4cCAAv/nNb7j//vtD+Z1OZ2jlzIiqVa5PPvkkqq3NlStXUlBQwH333Weq7YIgnB8izAhNiquvvtpU/u+//56SkpIIAcjn8/Fv//ZvtV5bc+Wn6oV84sQJU/UnJCSECSaZmZnk5OSE6f9kZmaGlTtu3LiwlQMVVZHroTJ6/RVXXEHHjh3ZvHkzffv2Rdd1xo4dS0ZGBp988gnx8fG8+uqr3HTTTezatSsU1b5mUNjaeOedd+jWrZvy3MSJE/nlL3/JG2+8Qb9+/bj99tvPKYypyMnJCQkyAG3btjV9vyH8uWVmZgKV96hmWllZGV6vF4/HwwUXXMC+ffsMywsEAowYMYLHHnuMzp07R9WGZcuWMXjwYLKzs023XxAE84gwIzQpEhMTw77bbDbOjshRUVER+ly1erB69WouuOCCsHznipdSpRNShaZpoQjxVasUNeuuWW9tZdRW7vly0UUX0aZNG77//nv69u3Lxo0bWbVqFadOncLj8QCwdOlS1q1bx4oVK5g2bZqp8tu1a8fFF1+sPDd79mxGjBjB6tWr+eijj5g1axZvv/02N998s6k6znVfzvWsVeVUbfGo0qK956dPn2b37t18/vnnISEzGAyi6zoOh4O1a9fSp0+fUP7Dhw+zfv16/vSnP0VVviAIsSPCjNCkSU9Pj1Bo3bt3b+jldckll+B2uzly5Iilipjp6elApQVW1bbN3r17LSvfLP/61784efJkaMWlpKQEIGJryGazxSw4qejcuTOdO3dmwoQJ3H333Sxfvpybb74Zl8t1XsrNKtLT08Ms3rxeLwcPHrSk7NrweDx8+eWXYWlLly5l48aNvP/++3To0CHs3PLly8nIyGDIkCF13jZBECoRBWChSdOnTx92797N66+/zv79+5k1a1aYcNOqVSsmTZrEhAkTWLFiBQcOHOB//ud/eOGFF1ixYsV513vxxRfTrl07Zs+ezf79+1m9ejULFy60oku8+OKL9O3b1/B8UVERkydPZseOHRw6dIgNGzYwbNgwLr744pBeSM+ePUlNTWXUqFF88cUXfPfdd0yePJmDBw+e10v25MmTHD9+POwoKyujtLSUcePGsXnzZg4fPsynn37Krl27QltSOTk5FBUVsWHDBn766aeQkHU+9OnThzfeeINPPvmEL7/8klGjRmG328+7vCp+/PFHunbtymeffaY8b7PZuOyyy8KOjIwM4uLiuOyyy8JWC4PBIMuXL2fUqFEt2m2AINQ3IswITZqBAwcyY8YMpkyZwr//+79z+vRpRo4cGZZnzpw5zJgxg/nz59OtWzcGDRrE6tWrI/6jNoPT6eSPf/wj+/bt44orruCpp55i7ty5sXYHqDSrrs102G638/e//51f/OIXdO7cmTFjxtC9e3c++eST0NZZmzZtWLNmDUVFRfTp04err76arVu38uc//5krr7wyVFa01kz9+vWjbdu2YcfKlSux2+2cPHmSkSNH0rlzZ+644w4GDx7MY489BlQqDj/44IPceeedpKens2DBgvO+L4888gjXX389Q4cOZciQIQwfPvy8dHPOpqKigm+//TYmQauK9evXc+TIEUaPHh1zWYIgRI+mn70JLQhCi6CkpITWrVvz0UcfhfnlEQRBaGrIyowgtFA2bdpEnz59RJARBKHJIyszgiAIgiA0aWRlRhAEQRCEJo0IM4IgCIIgNGlEmBEEQRAEoUkjwowgCIIgCE0aEWYEQRAEQWjSiDAjCIIgCEKTRoQZQRAEQRCaNCLMCIIgCILQpBFhRhAEQRCEJo0IM4IgCIIgNGn+P6mz6DSPxqC/AAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "mp = encoder.tiles_to_crop * encoder.tile_slen\n", - "fig = my_plot_detections(image_to_show, batch[\"images\"], target_cat_cropped, est_cat, margin_px=mp, figsize=(6,6))" - ] - }, - { - "cell_type": "markdown", - "id": "354f8398", - "metadata": {}, - "source": [ - "### How Accurate Are The Flux Measurements?" - ] - }, - { - "cell_type": "markdown", - "id": "550601e4", - "metadata": {}, - "source": [ - "Let's examine predicted galaxy fluxes for detected sources (i.e. the flux magnitudes in bands $(u,g,r,i,z)$) and see how they compare to the true galaxy fluxes for those sources. We start with just one image from one batch." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "3ba5b929", - "metadata": {}, - "outputs": [], - "source": [ - "def u_abs_diff(pred_photometry, true_photometry):\n", - " return torch.abs(pred_photometry - true_photometry)[:,0]\n", - "\n", - "def g_abs_diff(pred_photometry, true_photometry):\n", - " return torch.abs(pred_photometry - true_photometry)[:,1]\n", - "\n", - "def r_abs_diff(pred_photometry, true_photometry):\n", - " return torch.abs(pred_photometry - true_photometry)[:,2]\n", - "\n", - "def i_abs_diff(pred_photometry, true_photometry):\n", - " return torch.abs(pred_photometry - true_photometry)[:,3]\n", - "\n", - "def z_abs_diff(pred_photometry, true_photometry):\n", - " return torch.abs(pred_photometry - true_photometry)[:,4]\n", - "\n", - "def get_photometry_diffs(batch):\n", - " true_fluxes = batch['tile_catalog']['galaxy_fluxes']\n", - " true_sources = batch['tile_catalog']['n_sources']\n", - " \n", - " est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", - " est_cat = est_cat.to_dict()\n", - " \n", - " pred_fluxes = est_cat['galaxy_fluxes']\n", - " pred_sources = est_cat['n_sources']\n", - " \n", - " image_indices, source_tiles_pred_x, source_tiles_pred_y = torch.where(pred_sources != 0)\n", - " \n", - " pred_flux = est_cat['galaxy_fluxes'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)\n", - " true_flux = batch['tile_catalog']['galaxy_fluxes'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)\n", - " \n", - " udiffs = u_abs_diff(pred_flux, true_flux)\n", - " gdiffs = g_abs_diff(pred_flux, true_flux)\n", - " rdiffs = r_abs_diff(pred_flux, true_flux)\n", - " idiffs = i_abs_diff(pred_flux, true_flux)\n", - " zdiffs = z_abs_diff(pred_flux, true_flux)\n", - " \n", - " return udiffs, gdiffs, rdiffs, idiffs, zdiffs\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "abc38d57", - "metadata": { - "collapsed": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "On batch 0...\n", - "On batch 10...\n", - "On batch 20...\n", - "On batch 30...\n", - "On batch 40...\n", - "On batch 50...\n", - "On batch 60...\n", - "On batch 70...\n" - ] - }, - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[13], line 9\u001b[0m\n\u001b[1;32m 7\u001b[0m encoder\u001b[38;5;241m.\u001b[39meval()\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m idx, batch \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(train_dataloader):\n\u001b[0;32m----> 9\u001b[0m u_d, g_d, r_d, i_d, z_d \u001b[38;5;241m=\u001b[39m \u001b[43mget_photometry_diffs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 10\u001b[0m u\u001b[38;5;241m.\u001b[39mappend(u_d)\n\u001b[1;32m 11\u001b[0m g\u001b[38;5;241m.\u001b[39mappend(g_d)\n", - "Cell \u001b[0;32mIn[12], line 20\u001b[0m, in \u001b[0;36mget_photometry_diffs\u001b[0;34m(batch)\u001b[0m\n\u001b[1;32m 17\u001b[0m true_fluxes \u001b[38;5;241m=\u001b[39m batch[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtile_catalog\u001b[39m\u001b[38;5;124m'\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgalaxy_fluxes\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m 18\u001b[0m true_sources \u001b[38;5;241m=\u001b[39m batch[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtile_catalog\u001b[39m\u001b[38;5;124m'\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mn_sources\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m---> 20\u001b[0m est_cat \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msample\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muse_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# I'm using the mode to predict\u001b[39;00m\n\u001b[1;32m 21\u001b[0m est_cat \u001b[38;5;241m=\u001b[39m est_cat\u001b[38;5;241m.\u001b[39mto_dict()\n\u001b[1;32m 23\u001b[0m pred_fluxes \u001b[38;5;241m=\u001b[39m est_cat[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgalaxy_fluxes\u001b[39m\u001b[38;5;124m'\u001b[39m]\n", - "File \u001b[0;32m~/current/bliss/bliss/encoder/encoder.py:179\u001b[0m, in \u001b[0;36mEncoder.sample\u001b[0;34m(self, batch, use_mode)\u001b[0m\n\u001b[1;32m 176\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmarginal_detections\u001b[39m(pred_marginal): \u001b[38;5;66;03m# noqa: WPS430\u001b[39;00m\n\u001b[1;32m 177\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pred_marginal\u001b[38;5;241m.\u001b[39msample(use_mode\u001b[38;5;241m=\u001b[39muse_mode)\n\u001b[0;32m--> 179\u001b[0m pred \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minfer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmarginal_detections\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 181\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39muse_checkerboard:\n\u001b[1;32m 182\u001b[0m est_cat \u001b[38;5;241m=\u001b[39m pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhistory_cat\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n", - "File \u001b[0;32m~/current/bliss/bliss/encoder/encoder.py:156\u001b[0m, in \u001b[0;36mEncoder.infer\u001b[0;34m(self, batch, history_callback)\u001b[0m\n\u001b[1;32m 154\u001b[0m x_features \u001b[38;5;241m=\u001b[39m x_features\u001b[38;5;241m.\u001b[39mdetach() \u001b[38;5;66;03m# is this helpful? doing it here to match old code\u001b[39;00m\n\u001b[1;32m 155\u001b[0m pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx_features\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m x_features\n\u001b[0;32m--> 156\u001b[0m pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmarginal\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvd_spec\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmake_dist\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat_marginal\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 158\u001b[0m history_cat \u001b[38;5;241m=\u001b[39m history_callback(pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmarginal\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m 159\u001b[0m pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhistory_cat\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m history_cat\n", - "File \u001b[0;32m~/current/bliss/case_studies/redshift_estimation/variational_dist.py:21\u001b[0m, in \u001b[0;36mRedshiftVariationalDistSpec.make_dist\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmake_dist\u001b[39m(\u001b[38;5;28mself\u001b[39m, x_cat):\n\u001b[1;32m 19\u001b[0m \u001b[38;5;66;03m# override this method to instantiate a subclass of VariationalGrid, e.g.,\u001b[39;00m\n\u001b[1;32m 20\u001b[0m \u001b[38;5;66;03m# one with additional distribution parameter groups\u001b[39;00m\n\u001b[0;32m---> 21\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_parse_factors\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 22\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m RedshiftVariationalDist(factors, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msurvey_bands, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtile_slen)\n", - "File \u001b[0;32m~/current/bliss/bliss/encoder/variational_dist.py:48\u001b[0m, in \u001b[0;36mVariationalDistSpec._parse_factors\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 45\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\u001b[38;5;28mzip\u001b[39m(names, dist_params_split))\n\u001b[1;32m 47\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m factors\u001b[38;5;241m.\u001b[39mitems():\n\u001b[0;32m---> 48\u001b[0m factors[k] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfactor_specs\u001b[49m\u001b[43m[\u001b[49m\u001b[43mk\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_dist\u001b[49m\u001b[43m(\u001b[49m\u001b[43mv\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 50\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m factors\n", - "File \u001b[0;32m~/current/bliss/bliss/encoder/unconstrained_dists.py:132\u001b[0m, in \u001b[0;36mUnconstrainedLogNormal.get_dist\u001b[0;34m(self, params)\u001b[0m\n\u001b[1;32m 130\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_dist\u001b[39m(\u001b[38;5;28mself\u001b[39m, params):\n\u001b[1;32m 131\u001b[0m mu \u001b[38;5;241m=\u001b[39m params[:, :, :, \u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m--> 132\u001b[0m sigma \u001b[38;5;241m=\u001b[39m \u001b[43mparams\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mclamp\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m6\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexp\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msqrt\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 133\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m LogNormal(mu, sigma, validate_args\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], - "source": [ - "u = []\n", - "g = []\n", - "r = []\n", - "i = []\n", - "z = []\n", - "\n", - "encoder.eval()\n", - "for idx, batch in enumerate(train_dataloader):\n", - " u_d, g_d, r_d, i_d, z_d = get_photometry_diffs(batch)\n", - " u.append(u_d)\n", - " g.append(g_d)\n", - " r.append(r_d)\n", - " i.append(i_d)\n", - " z.append(z_d)\n", - " \n", - " if idx % 10 == 0:\n", - " print(\"On batch {}...\".format(idx))\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "b5815238", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_hists(band_batches, label=None):\n", - " all_diffs = torch.cat(band_batches).detach()\n", - " num_outliers = (all_diffs > 1000).sum()\n", - " all_diffs = all_diffs[torch.where(all_diffs <= 1000)]\n", - " fig,ax = plt.subplots()\n", - " ax.hist(all_diffs, bins=1000)\n", - " ax.set_xlim(0, 40)\n", - " ax.set_title('Photometry Abs Diffs Band {}'.format(label))\n", - " plt.show()\n", - " return\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "4080a391", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_hists(u, 'u')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "7c96d0ab", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_hists(g, 'g')" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "2ba67061", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_hists(r, 'r')" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "06425035", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkIAAAGzCAYAAADDgXghAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA4rUlEQVR4nO3deVxWdf7//yfIKgq4sEgqoplLbqMWoWl9ko+YtJk1olRapuVAuZSlNuM2laWTueZSTfZNLXUardEyGdwmJRfMcSkpG3IZBSoFcgFU3r8/+nE+XoGpeSHB+3G/3c7t5nXO6zrX683JePo+y+VhjDECAACwkGdFNwAAAFBRCEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQsCvsGDBAnl4eGj79u0V3QrKcOutt6pVq1YV3YaL9evXy8PDQ+vXr3dZ/84776h58+by9vZWcHCws37KlClq3LixqlWrpnbt2l3VXq8WDw8PjR8//hdrvv32W3l4eGjBggVXpSfYhyAEnKck4JQsfn5+uu6665ScnKzs7Oxy/ezFixdr2rRp5foZ7vLRRx9d9BdYecnNzZWfn588PDz05ZdfVkgPJb+cSxZvb2/VrVtXnTp10pgxY3Tw4MFL2s++ffs0YMAANWnSRK+//rrmz58vSVqzZo2eeeYZde7cWW+99ZZefPHFK+q3UaNGpf67btq0qUaOHKljx45d0b6Bys6rohsAfosmTpyoqKgoFRQU6NNPP9WcOXP00Ucfac+ePapevXq5fObixYu1Z88eDRs2rFz2704fffSRZs+eXSFhaNmyZfLw8FB4eLgWLVqk559//qr3UKJv377q2bOniouLdfz4cW3btk3Tpk3T9OnT9eabbyohIcGp7dq1q06fPi0fHx9n3fr161VcXKzp06fr2muvddavXbtWnp6eevPNN13qr0S7du301FNPSZIKCgqUnp6uadOmacOGDdq6datbPqM8REZG6vTp0/L29q7oVlBFEYSAMtx+++3q2LGjJOnRRx9VnTp1NHXqVH3wwQfq27dvBXdXuZw9e1bFxcVu+4W+cOFC9ezZU5GRkVq8eHGFBqH27dvrgQcecFl34MABde/eXf3791eLFi3Utm1bSZKnp6f8/PxcanNyciTJ5ZRYyXp/f3+3/cwk6ZprrnHp9dFHH1WNGjX0l7/8RV9//bWaNm3qts9yp5IZLKC8cGoMuAS33XabJCkzM9NlfWFhoUaMGKGQkBAFBASoV69e+u6770q9/7XXXtP1118vX19fRUREKCkpSbm5uc72W2+9VatWrdKBAwec0xeNGjVytufk5GjgwIEKCwuTn5+f2rZtq7ffftvlM0pO1/zlL3/R7Nmz1bhxY1WvXl3du3fXoUOHZIzRn//8Z9WvX1/+/v66++67yzwt8vHHH6tLly4KCAhQzZo1FR8fr7179zrbBwwYoNmzZ0uSy+mWn/cwbdo0NWnSRL6+vtq6dasCAgI0dOjQUp93+PBhVatWTZMmTbrIUZAOHjyof/3rX0pISFBCQoIyMzO1efPmC9anp6erU6dO8vf3V1RUlObOnVuqZubMmbr++utVvXp11apVSx07dtTixYsv2suFREZGasGCBSoqKtLkyZOd9T+/RqhRo0YaN26cJCkkJMS5XsbDw0NvvfWWTp486fxsS66PSUlJ0c0336zg4GDVqFFDzZo105gxY351r+Hh4ZIkL6//+zfxrl27NGDAADVu3Fh+fn4KDw/XI488oh9++MHlvSW97t+/XwMGDFBwcLCCgoL08MMP69SpUy61hYWFGj58uEJCQlSzZk3dddddOnz48CX1yDVCKG/MCAGX4JtvvpEk1alTx2X9E088oVq1amncuHH69ttvNW3aNCUnJ2vJkiVOzfjx4zVhwgTFxsZqyJAhysjI0Jw5c7Rt2zZt2rRJ3t7eeu6555SXl6fDhw/r1VdflSTVqFFDknT69Gndeuut2r9/v5KTkxUVFaVly5ZpwIABys3NLRUuFi1apKKiIj3xxBM6duyYJk+erN///ve67bbbtH79ej377LPav3+/Zs6cqaefflp//etfnfe+88476t+/v+Li4vTyyy/r1KlTmjNnjm6++WZ9/vnnatSokR577DEdOXJEKSkpeuedd8r8eb311lsqKCjQ4MGD5evrq4YNG6pXr15asmSJpk6dqmrVqjm17777rowxSkxMvOhxePfddxUQEKA77rhD/v7+atKkiRYtWqROnTqVqj1+/Lh69uyp3//+9+rbt6+WLl2qIUOGyMfHR4888ogk6fXXX9eTTz6p++67T0OHDlVBQYF27dqlLVu2qF+/fhft50JiYmLUpEkTpaSkXLBm2rRp+n//7/9p+fLlmjNnjmrUqKE2bdro2muv1fz587V161a98cYbkqROnTpp7969uuOOO9SmTRtNnDhRvr6+2r9/vzZt2nRJPZ05c0bff/+9pJ9OjX3++eeaOnWqunbtqqioKKcuJSVF//nPf/Twww8rPDxce/fu1fz587V371599tlnTugt8fvf/15RUVGaNGmSduzYoTfeeEOhoaF6+eWXnZpHH31UCxcuVL9+/dSpUyetXbtW8fHxl/zzBMqVAeB46623jCTzz3/+03z33Xfm0KFD5r333jN16tQx/v7+5vDhwy51sbGxpri42Hn/8OHDTbVq1Uxubq4xxpicnBzj4+Njunfvbs6dO+fUzZo1y0gyf/3rX5118fHxJjIyslRP06ZNM5LMwoULnXVFRUUmJibG1KhRw+Tn5xtjjMnMzDSSTEhIiPP5xhgzevRoI8m0bdvWnDlzxlnft29f4+PjYwoKCowxxvz4448mODjYDBo0yOXzs7KyTFBQkMv6pKQkU9b/Pkp6CAwMNDk5OS7bPvnkEyPJfPzxxy7r27RpY2655ZZS+ypL69atTWJiovN6zJgxpm7dui7jMsaYW265xUgyr7zyirOusLDQtGvXzoSGhpqioiJjjDF33323uf766y/ps89XMs4pU6ZcsObuu+82kkxeXp4xxph169YZSWbdunVOzbhx44wk891337m8t3///iYgIMBl3auvvlpm7aWIjIw0kkotnTt3Nt9//71L7alTp0q9/9133zWSzMaNG0v1/sgjj7jU9urVy9SpU8d5vXPnTiPJ/OEPf3Cp69evn5Fkxo0b94u9l/ys33rrrUscLXB5ODUGlCE2NlYhISFq0KCBEhISVKNGDS1fvlzXXHONS93gwYNd/oXcpUsXnTt3TgcOHJAk/fOf/1RRUZGGDRsmT8//++s2aNAgBQYGatWqVRft5aOPPlJ4eLjLtUne3t568skndeLECW3YsMGl/v7771dQUJDzOjo6WpL0wAMPuJwCiY6OVlFRkf773/9K+mkmIDc3V3379tX333/vLNWqVVN0dLTWrVt30V5L9O7dWyEhIS7rYmNjFRERoUWLFjnr9uzZo127dpW6zqYsu3bt0u7du11+DiW9fvLJJ6Xqvby89NhjjzmvfXx89NhjjyknJ0fp6emSfro25/Dhw9q2bdslj+1Slczo/fjjj27ZX8l1RB988IGKi4sv+/3R0dFKSUlRSkqKVq5cqRdeeEF79+7VXXfdpdOnTzt1/v7+zp8LCgr0/fff66abbpIk7dixo9R+H3/8cZfXXbp00Q8//KD8/HxJP/33K0lPPvmkS11luCkAdiAIAWWYPXu2UlJStG7dOn3xxRf6z3/+o7i4uFJ1DRs2dHldq1YtST+dlpHkBKJmzZq51Pn4+Khx48bO9l9y4MABNW3a1CVISVKLFi1cPuNCPZWEogYNGpS5vqTXr7/+WtJP10OFhIS4LGvWrHEu7L0U559qKeHp6anExEStWLHCuYZk0aJF8vPz0/3333/RfS5cuFABAQFq3Lix9u/fr/3798vPz0+NGjVyCVclIiIiFBAQ4LLuuuuuk/TTdSeS9Oyzz6pGjRq68cYb1bRpUyUlJV3yqaaLOXHihCSpZs2abtlfnz591LlzZz366KMKCwtTQkKCli5desmhqG7duoqNjVVsbKzi4+M1ZswYvfHGG9q8ebNzCk6Sjh07pqFDhyosLEz+/v4KCQlxjmdeXl6p/V7K3wFPT081adLEpe7nfyeAisI1QkAZbrzxRueusV9y/rUu5zPGuLulS3ahni7Wa8kv1Hfeece5iPZ8588mXcz5swrne+ihhzRlyhStWLFCffv21eLFi3XHHXe4zGBdqMd3331XJ0+eVMuWLUttz8nJ0YkTJ5xZmEvVokULZWRkaOXKlVq9erXef/99vfbaaxo7dqwmTJhwWfv6uT179ig0NFSBgYFXtJ8S/v7+2rhxo9atW6dVq1Zp9erVWrJkiW677TatWbPmgsf3l3Tr1k2StHHjRj3xxBOSfrrmZ/PmzRo5cqTatWunGjVqqLi4WD169CgzdP0W/w4Al4MgBJSjyMhISVJGRoYaN27srC8qKlJmZqZiY2OddT+/CPX8fezatUvFxcUus0L79u1z+YwrVfIv9tDQUJe+ynKhXi+mVatW+t3vfqdFixapfv36OnjwoGbOnHnR923YsEGHDx/WxIkTnZmwEsePH9fgwYO1YsUKl1NsR44c0cmTJ11mhb766itJcrkjLyAgQH369FGfPn1UVFSke++9Vy+88IJGjx79q2/bTktL0zfffHNJp/wuh6enp7p166Zu3bpp6tSpevHFF/Xcc89p3bp1Fz1mZTl79qyk/5u9On78uFJTUzVhwgSNHTvWqSuZLfw1IiMjVVxcrG+++cZlFigjI+NX7xNwJ06NAeUoNjZWPj4+mjFjhsu/kN98803l5eW53DkTEBBQ5qmHnj17Kisry+VOtLNnz2rmzJmqUaOGbrnlFrf0GhcXp8DAQL344os6c+ZMqe3nPxagJFyc/wiAS/Xggw9qzZo1mjZtmurUqaPbb7/9ou8pOS02cuRI3XfffS7LoEGD1LRp01Knx86ePat58+Y5r4uKijRv3jyFhISoQ4cOklTqlnAfHx+1bNlSxpgyfwaX4sCBAxowYIB8fHw0cuTIX7WPspT1qIOSr94oLCz8Vfv8xz/+IUnOs45KZnd+PptzJU88Lzm+M2bMcNs+AXdiRggoRyEhIRo9erQmTJigHj166K677lJGRoZee+013XDDDS4zBh06dNCSJUs0YsQI3XDDDapRo4buvPNODR48WPPmzdOAAQOUnp6uRo0a6W9/+5s2bdqkadOmue0alMDAQM2ZM0cPPvig2rdvr4SEBIWEhOjgwYNatWqVOnfurFmzZjm9Sj9dABsXF6dq1aq5PEX5l/Tr10/PPPOMli9friFDhlz0icGFhYV6//339b//+78XnKG56667NH36dOXk5Cg0NFTST9cIvfzyy/r222913XXXacmSJdq5c6fmz5/vfGb37t0VHh6uzp07KywsTF9++aVmzZql+Pj4S/q57tixQwsXLlRxcbFyc3O1bds2vf/++/Lw8NA777yjNm3aXNLP5FJMnDhRGzduVHx8vCIjI5WTk6PXXntN9evX180333zR9//3v//VwoULJf0UCv/9739r3rx5qlu3rnNaLDAwUF27dtXkyZN15swZXXPNNVqzZk2p52ddjnbt2qlv37567bXXlJeXp06dOik1NVX79+//1fsE3KoC71gDfnNKbovftm3br6or6xZpY366Xb558+bG29vbhIWFmSFDhpjjx4+71Jw4ccL069fPBAcHG0kut9JnZ2ebhx9+2NStW9f4+PiY1q1bl7qd+EK3dJf0tGzZskseQ1xcnAkKCjJ+fn6mSZMmZsCAAWb79u1OzdmzZ80TTzxhQkJCjIeHh3Mr/aXcVm6MMT179jSSzObNm3+xzhhj3n//fSPJvPnmmxesWb9+vZFkpk+fboz56fb566+/3mzfvt3ExMQYPz8/ExkZaWbNmuXyvnnz5pmuXbuaOnXqGF9fX9OkSRMzcuRI55b3CykZZ8ni5eVlateubaKjo83o0aPNgQMHSr3nSm+fT01NNXfffbeJiIgwPj4+JiIiwvTt29d89dVXv9irMaVvn/f09DShoaGmb9++Zv/+/S61hw8fNr169TLBwcEmKCjI3H///ebIkSOlbnW/UO8l/11lZmY6606fPm2efPJJU6dOHRMQEGDuvPNOc+jQIW6fx2+ChzFc0Qbg6urVq5d2797NrACACsc1QgCuqqNHj2rVqlV68MEHK7oVAOAaIQBXR2ZmpjZt2qQ33nhD3t7eLg87BICKwowQgKtiw4YNevDBB5WZmam33367zGcVAcDVxjVCAADAWswIAQAAaxGEAACAtay+WLq4uFhHjhxRzZo1f/VXBgAAgKvLGKMff/xRERERpb6Q+nJZHYSOHDlS6hu5AQBA5XDo0CHVr1//ivZhdRAqeYT+oUOH3PYN0QAAoHzl5+erQYMGbvmKIauDUMnpsMDAQIIQAACVjDsua+FiaQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABreVV0A78FrcZ9Ik/f6pdU++1L8eXcDQAAuFqYEQIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAa112ENq4caPuvPNORUREyMPDQytWrHDZbozR2LFjVa9ePfn7+ys2NlZff/21S82xY8eUmJiowMBABQcHa+DAgTpx4oRLza5du9SlSxf5+fmpQYMGmjx5cqleli1bpubNm8vPz0+tW7fWRx99dLnDAQAAFrvsIHTy5Em1bdtWs2fPLnP75MmTNWPGDM2dO1dbtmxRQECA4uLiVFBQ4NQkJiZq7969SklJ0cqVK7Vx40YNHjzY2Z6fn6/u3bsrMjJS6enpmjJlisaPH6/58+c7NZs3b1bfvn01cOBAff7557rnnnt0zz33aM+ePZc7JAAAYCkPY4z51W/28NDy5ct1zz33SPppNigiIkJPPfWUnn76aUlSXl6ewsLCtGDBAiUkJOjLL79Uy5YttW3bNnXs2FGStHr1avXs2VOHDx9WRESE5syZo+eee05ZWVny8fGRJI0aNUorVqzQvn37JEl9+vTRyZMntXLlSqefm266Se3atdPcuXMvqf/8/HwFBQWpwbCl8vStfknv+fal+EuqAwAA5aPk93deXp4CAwOvaF9uvUYoMzNTWVlZio2NddYFBQUpOjpaaWlpkqS0tDQFBwc7IUiSYmNj5enpqS1btjg1Xbt2dUKQJMXFxSkjI0PHjx93as7/nJKaks8pS2FhofLz810WAABgL7cGoaysLElSWFiYy/qwsDBnW1ZWlkJDQ122e3l5qXbt2i41Ze3j/M+4UE3J9rJMmjRJQUFBztKgQYPLHSIAAKhCrLprbPTo0crLy3OWQ4cOVXRLAACgArk1CIWHh0uSsrOzXdZnZ2c728LDw5WTk+Oy/ezZszp27JhLTVn7OP8zLlRTsr0svr6+CgwMdFkAAIC93BqEoqKiFB4ertTUVGddfn6+tmzZopiYGElSTEyMcnNzlZ6e7tSsXbtWxcXFio6Odmo2btyoM2fOODUpKSlq1qyZatWq5dSc/zklNSWfAwAAcDGXHYROnDihnTt3aufOnZJ+ukB6586dOnjwoDw8PDRs2DA9//zz+vDDD7V792499NBDioiIcO4sa9GihXr06KFBgwZp69at2rRpk5KTk5WQkKCIiAhJUr9+/eTj46OBAwdq7969WrJkiaZPn64RI0Y4fQwdOlSrV6/WK6+8on379mn8+PHavn27kpOTr/ynAgAArOB1uW/Yvn27/ud//sd5XRJO+vfvrwULFuiZZ57RyZMnNXjwYOXm5urmm2/W6tWr5efn57xn0aJFSk5OVrdu3eTp6anevXtrxowZzvagoCCtWbNGSUlJ6tChg+rWrauxY8e6PGuoU6dOWrx4sf74xz9qzJgxatq0qVasWKFWrVr9qh8EAACwzxU9R6iy4zlCAABUPr/Z5wgBAABUJgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABreVV0A5VNo1GrLqv+25fiy6kTAABwpZgRAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFpuD0Lnzp3Tn/70J0VFRcnf319NmjTRn//8ZxljnBpjjMaOHat69erJ399fsbGx+vrrr132c+zYMSUmJiowMFDBwcEaOHCgTpw44VKza9cudenSRX5+fmrQoIEmT57s7uEAAIAqzO1B6OWXX9acOXM0a9Ysffnll3r55Zc1efJkzZw506mZPHmyZsyYoblz52rLli0KCAhQXFycCgoKnJrExETt3btXKSkpWrlypTZu3KjBgwc72/Pz89W9e3dFRkYqPT1dU6ZM0fjx4zV//nx3DwkAAFRRHub8qRo3uOOOOxQWFqY333zTWde7d2/5+/tr4cKFMsYoIiJCTz31lJ5++mlJUl5ensLCwrRgwQIlJCToyy+/VMuWLbVt2zZ17NhRkrR69Wr17NlThw8fVkREhObMmaPnnntOWVlZ8vHxkSSNGjVKK1as0L59+y6p1/z8fAUFBanBsKXy9K3uzh+D49uX4stlvwAA2Krk93deXp4CAwOvaF9unxHq1KmTUlNT9dVXX0mS/v3vf+vTTz/V7bffLknKzMxUVlaWYmNjnfcEBQUpOjpaaWlpkqS0tDQFBwc7IUiSYmNj5enpqS1btjg1Xbt2dUKQJMXFxSkjI0PHjx8vs7fCwkLl5+e7LAAAwF5e7t7hqFGjlJ+fr+bNm6tatWo6d+6cXnjhBSUmJkqSsrKyJElhYWEu7wsLC3O2ZWVlKTQ01LVRLy/Vrl3bpSYqKqrUPkq21apVq1RvkyZN0oQJE9wwSgAAUBW4fUZo6dKlWrRokRYvXqwdO3bo7bff1l/+8he9/fbb7v6oyzZ69Gjl5eU5y6FDhyq6JQAAUIHcPiM0cuRIjRo1SgkJCZKk1q1b68CBA5o0aZL69++v8PBwSVJ2drbq1avnvC87O1vt2rWTJIWHhysnJ8dlv2fPntWxY8ec94eHhys7O9ulpuR1Sc3P+fr6ytfX98oHCQAAqgS3zwidOnVKnp6uu61WrZqKi4slSVFRUQoPD1dqaqqzPT8/X1u2bFFMTIwkKSYmRrm5uUpPT3dq1q5dq+LiYkVHRzs1Gzdu1JkzZ5yalJQUNWvWrMzTYgAAAD/n9iB055136oUXXtCqVav07bffavny5Zo6dap69eolSfLw8NCwYcP0/PPP68MPP9Tu3bv10EMPKSIiQvfcc48kqUWLFurRo4cGDRqkrVu3atOmTUpOTlZCQoIiIiIkSf369ZOPj48GDhyovXv3asmSJZo+fbpGjBjh7iEBAIAqyu2nxmbOnKk//elP+sMf/qCcnBxFREToscce09ixY52aZ555RidPntTgwYOVm5urm2++WatXr5afn59Ts2jRIiUnJ6tbt27y9PRU7969NWPGDGd7UFCQ1qxZo6SkJHXo0EF169bV2LFjXZ41BAAA8Evc/hyhyoTnCAEAUPn8pp8jBAAAUFkQhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1vCq6gaqu0ahVl/2eb1+KL4dOAADAzzEjBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYq1yC0H//+1898MADqlOnjvz9/dW6dWtt377d2W6M0dixY1WvXj35+/srNjZWX3/9tcs+jh07psTERAUGBio4OFgDBw7UiRMnXGp27dqlLl26yM/PTw0aNNDkyZPLYzgAAKCKcnsQOn78uDp37ixvb299/PHH+uKLL/TKK6+oVq1aTs3kyZM1Y8YMzZ07V1u2bFFAQIDi4uJUUFDg1CQmJmrv3r1KSUnRypUrtXHjRg0ePNjZnp+fr+7duysyMlLp6emaMmWKxo8fr/nz57t7SAAAoIryMMYYd+5w1KhR2rRpk/71r3+Vud0Yo4iICD311FN6+umnJUl5eXkKCwvTggULlJCQoC+//FItW7bUtm3b1LFjR0nS6tWr1bNnTx0+fFgRERGaM2eOnnvuOWVlZcnHx8f57BUrVmjfvn2X1Gt+fr6CgoLUYNhSefpWd8Po3YOv2AAA4MJKfn/n5eUpMDDwivbl9hmhDz/8UB07dtT999+v0NBQ/e53v9Prr7/ubM/MzFRWVpZiY2OddUFBQYqOjlZaWpokKS0tTcHBwU4IkqTY2Fh5enpqy5YtTk3Xrl2dECRJcXFxysjI0PHjx8vsrbCwUPn5+S4LAACwl9uD0H/+8x/NmTNHTZs21SeffKIhQ4boySef1Ntvvy1JysrKkiSFhYW5vC8sLMzZlpWVpdDQUJftXl5eql27tktNWfs4/zN+btKkSQoKCnKWBg0aXOFoAQBAZeb2IFRcXKz27dvrxRdf1O9+9zsNHjxYgwYN0ty5c939UZdt9OjRysvLc5ZDhw5VdEsAAKACuT0I1atXTy1btnRZ16JFCx08eFCSFB4eLknKzs52qcnOzna2hYeHKycnx2X72bNndezYMZeasvZx/mf8nK+vrwIDA10WAABgL7cHoc6dOysjI8Nl3VdffaXIyEhJUlRUlMLDw5Wamupsz8/P15YtWxQTEyNJiomJUW5urtLT052atWvXqri4WNHR0U7Nxo0bdebMGacmJSVFzZo1c7lDDQAA4ELcHoSGDx+uzz77TC+++KL279+vxYsXa/78+UpKSpIkeXh4aNiwYXr++ef14Ycfavfu3XrooYcUERGhe+65R9JPM0g9evTQoEGDtHXrVm3atEnJyclKSEhQRESEJKlfv37y8fHRwIEDtXfvXi1ZskTTp0/XiBEj3D0kAABQRXm5e4c33HCDli9frtGjR2vixImKiorStGnTlJiY6NQ888wzOnnypAYPHqzc3FzdfPPNWr16tfz8/JyaRYsWKTk5Wd26dZOnp6d69+6tGTNmONuDgoK0Zs0aJSUlqUOHDqpbt67Gjh3r8qwhAACAX+L25whVJjxHCACAyuc3/RwhAACAyoIgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFpeFd0ASms0atVl1X/7Unw5dQIAQNXGjBAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGuVexB66aWX5OHhoWHDhjnrCgoKlJSUpDp16qhGjRrq3bu3srOzXd538OBBxcfHq3r16goNDdXIkSN19uxZl5r169erffv28vX11bXXXqsFCxaU93AAAEAV4lWeO9+2bZvmzZunNm3auKwfPny4Vq1apWXLlikoKEjJycm69957tWnTJknSuXPnFB8fr/DwcG3evFlHjx7VQw89JG9vb7344ouSpMzMTMXHx+vxxx/XokWLlJqaqkcffVT16tVTXFxceQ7rN6fRqFWX/Z5vX4ovh04AAKhcym1G6MSJE0pMTNTrr7+uWrVqOevz8vL05ptvaurUqbrtttvUoUMHvfXWW9q8ebM+++wzSdKaNWv0xRdfaOHChWrXrp1uv/12/fnPf9bs2bNVVFQkSZo7d66ioqL0yiuvqEWLFkpOTtZ9992nV199tbyGBAAAqphyC0JJSUmKj49XbGysy/r09HSdOXPGZX3z5s3VsGFDpaWlSZLS0tLUunVrhYWFOTVxcXHKz8/X3r17nZqf7zsuLs7ZR1kKCwuVn5/vsgAAAHuVy6mx9957Tzt27NC2bdtKbcvKypKPj4+Cg4Nd1oeFhSkrK8upOT8ElWwv2fZLNfn5+Tp9+rT8/f1LffakSZM0YcKEXz0uAABQtbh9RujQoUMaOnSoFi1aJD8/P3fv/oqMHj1aeXl5znLo0KGKbgkAAFQgtweh9PR05eTkqH379vLy8pKXl5c2bNigGTNmyMvLS2FhYSoqKlJubq7L+7KzsxUeHi5JCg8PL3UXWcnri9UEBgaWORskSb6+vgoMDHRZAACAvdwehLp166bdu3dr586dztKxY0clJiY6f/b29lZqaqrznoyMDB08eFAxMTGSpJiYGO3evVs5OTlOTUpKigIDA9WyZUun5vx9lNSU7AMAAOBi3H6NUM2aNdWqVSuXdQEBAapTp46zfuDAgRoxYoRq166twMBAPfHEE4qJidFNN90kSerevbtatmypBx98UJMnT1ZWVpb++Mc/KikpSb6+vpKkxx9/XLNmzdIzzzyjRx55RGvXrtXSpUu1atXl30oOAADsVK7PEbqQV199VZ6enurdu7cKCwsVFxen1157zdlerVo1rVy5UkOGDFFMTIwCAgLUv39/TZw40amJiorSqlWrNHz4cE2fPl3169fXG2+8Yd0zhAAAwK/nYYwxFd1ERcnPz1dQUJAaDFsqT9/qFd3OVcUDFQEAlVXJ7++8vLwrvt6X7xoDAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArOVV0Q2gYjQateqy6r99Kb6cOgEAoOIwIwQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAa/FdY7gkfDcZAKAqYkYIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGvxpasoF5f7Ja0SX9QKALj6mBECAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGu5PQhNmjRJN9xwg2rWrKnQ0FDdc889ysjIcKkpKChQUlKS6tSpoxo1aqh3797Kzs52qTl48KDi4+NVvXp1hYaGauTIkTp79qxLzfr169W+fXv5+vrq2muv1YIFC9w9HAAAUIW5/bvGNmzYoKSkJN1www06e/asxowZo+7du+uLL75QQECAJGn48OFatWqVli1bpqCgICUnJ+vee+/Vpk2bJEnnzp1TfHy8wsPDtXnzZh09elQPPfSQvL299eKLL0qSMjMzFR8fr8cff1yLFi1SamqqHn30UdWrV09xcXHuHhaugsv9fjK+mwwAcKU8jDGmPD/gu+++U2hoqDZs2KCuXbsqLy9PISEhWrx4se677z5J0r59+9SiRQulpaXppptu0scff6w77rhDR44cUVhYmCRp7ty5evbZZ/Xdd9/Jx8dHzz77rFatWqU9e/Y4n5WQkKDc3FytXr36knrLz89XUFCQGgxbKk/f6u4fPMoVQQgA7FTy+zsvL0+BgYFXtK9yv0YoLy9PklS7dm1JUnp6us6cOaPY2Finpnnz5mrYsKHS0tIkSWlpaWrdurUTgiQpLi5O+fn52rt3r1Nz/j5Kakr2UZbCwkLl5+e7LAAAwF7lGoSKi4s1bNgwde7cWa1atZIkZWVlycfHR8HBwS61YWFhysrKcmrOD0El20u2/VJNfn6+Tp8+XWY/kyZNUlBQkLM0aNDgiscIAAAqL7dfI3S+pKQk7dmzR59++ml5fswlGz16tEaMGOG8zs/PJwxVYpd7TZHE6TQAgKtyC0LJyclauXKlNm7cqPr16zvrw8PDVVRUpNzcXJdZoezsbIWHhzs1W7duddlfyV1l59f8/E6z7OxsBQYGyt/fv8yefH195evre8VjAwAAVYPbT40ZY5ScnKzly5dr7dq1ioqKctneoUMHeXt7KzU11VmXkZGhgwcPKiYmRpIUExOj3bt3Kycnx6lJSUlRYGCgWrZs6dScv4+SmpJ9AAAAXIzbZ4SSkpK0ePFiffDBB6pZs6ZzTU9QUJD8/f0VFBSkgQMHasSIEapdu7YCAwP1xBNPKCYmRjfddJMkqXv37mrZsqUefPBBTZ48WVlZWfrjH/+opKQkZ0bn8ccf16xZs/TMM8/okUce0dq1a7V06VKtWnX5p0sAAICd3D4jNGfOHOXl5enWW29VvXr1nGXJkiVOzauvvqo77rhDvXv3VteuXRUeHq6///3vzvZq1app5cqVqlatmmJiYvTAAw/ooYce0sSJE52aqKgorVq1SikpKWrbtq1eeeUVvfHGGzxDCAAAXLJyf47QbxnPEbIPF0sDQOVXqZ4jBAAA8FtFEAIAANYq1+cIAb81fJ8ZAOB8zAgBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWd40Bv4C7zACgamNGCAAAWIsgBAAArMWpMcCNLvdUmsTpNACoSMwIAQAAaxGEAACAtQhCAADAWlwjBFQwbtEHgIrDjBAAALAWQQgAAFiLU2NAJcOpNABwH2aEAACAtQhCAADAWpwaA6o4nnYNABfGjBAAALAWQQgAAFiLU2MASuHONAC2IAgBuGJchwSgsuLUGAAAsBZBCAAAWItTYwAqBa5bAlAeCEIAKsSvua4IANyNU2MAAMBazAgBqJK4kw3ApSAIAcD/j+uQAPsQhADgV2LWCaj8CEIAcBUx6wT8thCEAOA3jOAElC+CEABUIZyuAy4Pt88DAABrMSMEAJa7Gg+3vNxZJ04J4mohCAEAyh1PEsdvFUEIAFDpcW0Ufi2CEADASuU9S0XQqhwIQgAAlIPf4rVXKI0gBABAJXU1TglW9QvXCUIAAFikvGeqrsZM2K4xXdy2L54jBAAAKpVW4z5x274IQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArFXpg9Ds2bPVqFEj+fn5KTo6Wlu3bq3olgAAQCVRqYPQkiVLNGLECI0bN047duxQ27ZtFRcXp5ycnIpuDQAAVAKVOghNnTpVgwYN0sMPP6yWLVtq7ty5ql69uv76179WdGsAAKASqLRPli4qKlJ6erpGjx7trPP09FRsbKzS0tLKfE9hYaEKCwud13l5eZKk4sJT5dssAABwm5Lf28aYK95XpQ1C33//vc6dO6ewsDCX9WFhYdq3b1+Z75k0aZImTJhQav1/5wwojxYBAEA5+uGHHxQUFHRF+6i0QejXGD16tEaMGOG8zs3NVWRkpA4ePHjFP8jKJD8/Xw0aNNChQ4cUGBhY0e1cNYybcduAcTNuG+Tl5alhw4aqXbv2Fe+r0gahunXrqlq1asrOznZZn52drfDw8DLf4+vrK19f31Lrg4KCrPoPqERgYCDjtgjjtgvjtout4/b0vPJLnSvtxdI+Pj7q0KGDUlNTnXXFxcVKTU1VTExMBXYGAAAqi0o7IyRJI0aMUP/+/dWxY0fdeOONmjZtmk6ePKmHH364olsDAACVQKUOQn369NF3332nsWPHKisrS+3atdPq1atLXUB9Ib6+vho3blyZp8uqMsbNuG3AuBm3DRj3lY/bw7jj3jMAAIBKqNJeIwQAAHClCEIAAMBaBCEAAGAtghAAALAWQQgAAFjL2iA0e/ZsNWrUSH5+foqOjtbWrVsruqVyNX78eHl4eLgszZs3r+i23G7jxo268847FRERIQ8PD61YscJluzFGY8eOVb169eTv76/Y2Fh9/fXXFdOsG11s3AMGDCh1/Hv06FExzbrRpEmTdMMNN6hmzZoKDQ3VPffco4yMDJeagoICJSUlqU6dOqpRo4Z69+5d6on0lc2ljPvWW28tdcwff/zxCurYPebMmaM2bdo4T1GOiYnRxx9/7Gyvisdauvi4q+KxLstLL70kDw8PDRs2zFnnjmNuZRBasmSJRowYoXHjxmnHjh1q27at4uLilJOTU9Gtlavrr79eR48edZZPP/20oltyu5MnT6pt27aaPXt2mdsnT56sGTNmaO7cudqyZYsCAgIUFxengoKCq9ype11s3JLUo0cPl+P/7rvvXsUOy8eGDRuUlJSkzz77TCkpKTpz5oy6d++ukydPOjXDhw/XP/7xDy1btkwbNmzQkSNHdO+991Zg11fuUsYtSYMGDXI55pMnT66gjt2jfv36eumll5Senq7t27frtttu09133629e/dKqprHWrr4uKWqd6x/btu2bZo3b57atGnjst4tx9xY6MYbbzRJSUnO63PnzpmIiAgzadKkCuyqfI0bN860bdu2otu4qiSZ5cuXO6+Li4tNeHi4mTJlirMuNzfX+Pr6mnfffbcCOiwfPx+3Mcb079/f3H333RXSz9WUk5NjJJkNGzYYY346vt7e3mbZsmVOzZdffmkkmbS0tIpq0+1+Pm5jjLnlllvM0KFDK66pq6RWrVrmjTfesOZYlygZtzFV/1j/+OOPpmnTpiYlJcVlrO465tbNCBUVFSk9PV2xsbHOOk9PT8XGxiotLa0COyt/X3/9tSIiItS4cWMlJibq4MGDFd3SVZWZmamsrCyXYx8UFKTo6Ogqf+wlaf369QoNDVWzZs00ZMgQ/fDDDxXdktvl5eVJkvON1Onp6Tpz5ozLMW/evLkaNmxYpY75z8ddYtGiRapbt65atWql0aNH69SpUxXRXrk4d+6c3nvvPZ08eVIxMTHWHOufj7tEVT7WSUlJio+Pdzm2kvv+flfqr9j4Nb7//nudO3eu1NdwhIWFad++fRXUVfmLjo7WggUL1KxZMx09elQTJkxQly5dtGfPHtWsWbOi27sqsrKyJKnMY1+yrarq0aOH7r33XkVFRembb77RmDFjdPvttystLU3VqlWr6Pbcori4WMOGDVPnzp3VqlUrST8dcx8fHwUHB7vUVqVjXta4Jalfv36KjIxURESEdu3apWeffVYZGRn6+9//XoHdXrndu3crJiZGBQUFqlGjhpYvX66WLVtq586dVfpYX2jcUtU91pL03nvvaceOHdq2bVupbe76+21dELLV7bff7vy5TZs2io6OVmRkpJYuXaqBAwdWYGe4GhISEpw/t27dWm3atFGTJk20fv16devWrQI7c5+kpCTt2bOnSl779ksuNO7Bgwc7f27durXq1aunbt266ZtvvlGTJk2udptu06xZM+3cuVN5eXn629/+pv79+2vDhg0V3Va5u9C4W7ZsWWWP9aFDhzR06FClpKTIz8+v3D7HulNjdevWVbVq1UpdVZ6dna3w8PAK6urqCw4O1nXXXaf9+/dXdCtXTcnxtf3YS1Ljxo1Vt27dKnP8k5OTtXLlSq1bt07169d31oeHh6uoqEi5ubku9VXlmF9o3GWJjo6WpEp/zH18fHTttdeqQ4cOmjRpktq2bavp06dX+WN9oXGXpaoc6/T0dOXk5Kh9+/by8vKSl5eXNmzYoBkzZsjLy0thYWFuOebWBSEfHx916NBBqampzrri4mKlpqa6nG+t6k6cOKFvvvlG9erVq+hWrpqoqCiFh4e7HPv8/Hxt2bLFqmMvSYcPH9YPP/xQ6Y+/MUbJyclavny51q5dq6ioKJftHTp0kLe3t8sxz8jI0MGDByv1Mb/YuMuyc+dOSar0x/zniouLVVhYWGWP9YWUjLssVeVYd+vWTbt379bOnTudpWPHjkpMTHT+7JZj7t5ruyuH9957z/j6+poFCxaYL774wgwePNgEBwebrKysim6t3Dz11FNm/fr1JjMz02zatMnExsaaunXrmpycnIpuza1+/PFH8/nnn5vPP//cSDJTp041n3/+uTlw4IAxxpiXXnrJBAcHmw8++MDs2rXL3H333SYqKsqcPn26gju/Mr807h9//NE8/fTTJi0tzWRmZpp//vOfpn379qZp06amoKCgolu/IkOGDDFBQUFm/fr15ujRo85y6tQpp+bxxx83DRs2NGvXrjXbt283MTExJiYmpgK7vnIXG/f+/fvNxIkTzfbt201mZqb54IMPTOPGjU3Xrl0ruPMrM2rUKLNhwwaTmZlpdu3aZUaNGmU8PDzMmjVrjDFV81gb88vjrqrH+kJ+foecO465lUHIGGNmzpxpGjZsaHx8fMyNN95oPvvss4puqVz16dPH1KtXz/j4+JhrrrnG9OnTx+zfv7+i23K7devWGUmllv79+xtjfrqF/k9/+pMJCwszvr6+plu3biYjI6Nim3aDXxr3qVOnTPfu3U1ISIjx9vY2kZGRZtCgQVUi+Jc1ZknmrbfecmpOnz5t/vCHP5hatWqZ6tWrm169epmjR49WXNNucLFxHzx40HTt2tXUrl3b+Pr6mmuvvdaMHDnS5OXlVWzjV+iRRx4xkZGRxsfHx4SEhJhu3bo5IciYqnmsjfnlcVfVY30hPw9C7jjmHsYYcwUzVwAAAJWWddcIAQAAlCAIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1/j+I8u+24Dm+HAAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_hists(i, 'i')" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "36af7c2b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_hists(z, 'z')" - ] - }, - { - "cell_type": "markdown", - "id": "a006e29c", - "metadata": {}, - "source": [ - "How much more accurate is a redshift from photometry predictor?" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "0cb2e11d", - "metadata": {}, - "outputs": [], - "source": [ - "from tqdm import tqdm\n", - "\n", - "class Regressor(torch.nn.Module):\n", - " def __init__(\n", - " self, in_dim, hidden_dim, out_dim, device\n", - " ):\n", - " super().__init__()\n", - " self.in_dim = in_dim\n", - " self.hidden_dim = hidden_dim\n", - " self.out_dim = out_dim\n", - " self.device = device\n", - " self.loss_fcn = nn.MSELoss()\n", - "\n", - " self.dense = torch.nn.Sequential(\n", - " nn.Linear(in_dim, hidden_dim),\n", - " nn.ReLU(),\n", - " nn.Linear(hidden_dim, hidden_dim),\n", - " nn.ReLU(),\n", - " nn.Linear(hidden_dim, hidden_dim),\n", - " nn.ReLU(),\n", - " nn.Linear(hidden_dim, out_dim),\n", - " )\n", - " \n", - " self.optimizer = torch.optim.Adam(self.dense.parameters(), lr=1e-3)\n", - "\n", - " def forward(self, photometry):\n", - " return self.dense(photometry)\n", - " \n", - " def train_one_epoch(self, dataloader):\n", - " losses = []\n", - " for idx, batch in tqdm(enumerate(dataloader), unit='batch'):\n", - " true_fluxes = batch['tile_catalog']['galaxy_fluxes'].squeeze(-2).to(self.device)\n", - " true_redshifts = batch['tile_catalog']['redshifts'].squeeze(-2).to(self.device)\n", - " \n", - " true_fluxes = rearrange(true_fluxes, 'b w h d -> (b w h) d')\n", - " true_redshifts = rearrange(true_redshifts, 'b w h d -> (b w h) d')\n", - " \n", - " self.optimizer.zero_grad()\n", - " loss = self.loss_fcn(self.dense(true_fluxes), true_redshifts)\n", - " loss.backward()\n", - " self.optimizer.step()\n", - " \n", - " losses.append(loss.item())\n", - " \n", - " return torch.tensor(losses).mean()\n", - " \n", - " def train(self, dataloader, n_epochs=100):\n", - " for i in range(n_epochs):\n", - " this_epoch_average_loss = self.train_one_epoch(dataloader)\n", - " print('Epoch {}: Avg. Loss {}'.format(i, this_epoch_average_loss))" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "203e6624", - "metadata": {}, - "outputs": [], - "source": [ - "reg = Regressor(5, 256, 1, 'cuda')\n", - "reg = reg.to('cuda')" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "7c33eaeb", - "metadata": { - "collapsed": true - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "6554batch [01:45, 62.25batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 0: Avg. Loss 0.3226582407951355\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "6554batch [01:50, 59.52batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1: Avg. Loss 0.012011805549263954\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "6554batch [01:51, 58.64batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 2: Avg. Loss 0.011745046824216843\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "6554batch [01:53, 57.73batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 3: Avg. Loss 0.011745202355086803\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "699batch [00:10, 67.19batch/s]\n" - ] - }, - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[23], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mreg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtrain_dataloader\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_epochs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m)\u001b[49m\n", - "Cell \u001b[0;32mIn[21], line 49\u001b[0m, in \u001b[0;36mRegressor.train\u001b[0;34m(self, dataloader, n_epochs)\u001b[0m\n\u001b[1;32m 47\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mtrain\u001b[39m(\u001b[38;5;28mself\u001b[39m, dataloader, n_epochs\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m100\u001b[39m):\n\u001b[1;32m 48\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(n_epochs):\n\u001b[0;32m---> 49\u001b[0m this_epoch_average_loss \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_one_epoch\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdataloader\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 50\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mEpoch \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m: Avg. Loss \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(i, this_epoch_average_loss))\n", - "Cell \u001b[0;32mIn[21], line 41\u001b[0m, in \u001b[0;36mRegressor.train_one_epoch\u001b[0;34m(self, dataloader)\u001b[0m\n\u001b[1;32m 39\u001b[0m loss \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloss_fcn(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdense(true_fluxes), true_redshifts)\n\u001b[1;32m 40\u001b[0m loss\u001b[38;5;241m.\u001b[39mbackward()\n\u001b[0;32m---> 41\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptimizer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 43\u001b[0m losses\u001b[38;5;241m.\u001b[39mappend(loss\u001b[38;5;241m.\u001b[39mitem())\n\u001b[1;32m 45\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mtensor(losses)\u001b[38;5;241m.\u001b[39mmean()\n", - "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/optim/optimizer.py:280\u001b[0m, in \u001b[0;36mOptimizer.profile_hook_step..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 276\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 277\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m must return None or a tuple of (new_args, new_kwargs),\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 278\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbut got \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mresult\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 280\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 281\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_optimizer_step_code()\n\u001b[1;32m 283\u001b[0m \u001b[38;5;66;03m# call optimizer step post hooks\u001b[39;00m\n", - "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/optim/optimizer.py:33\u001b[0m, in \u001b[0;36m_use_grad_for_differentiable.._use_grad\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 31\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 32\u001b[0m torch\u001b[38;5;241m.\u001b[39mset_grad_enabled(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdefaults[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdifferentiable\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m---> 33\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 34\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m 35\u001b[0m torch\u001b[38;5;241m.\u001b[39mset_grad_enabled(prev_grad)\n", - "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/optim/adam.py:132\u001b[0m, in \u001b[0;36mAdam.step\u001b[0;34m(self, closure)\u001b[0m\n\u001b[1;32m 129\u001b[0m state_steps \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 130\u001b[0m beta1, beta2 \u001b[38;5;241m=\u001b[39m group[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbetas\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m--> 132\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_init_group\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 133\u001b[0m \u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 134\u001b[0m \u001b[43m \u001b[49m\u001b[43mparams_with_grad\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 135\u001b[0m \u001b[43m \u001b[49m\u001b[43mgrads\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 136\u001b[0m \u001b[43m \u001b[49m\u001b[43mexp_avgs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 137\u001b[0m \u001b[43m \u001b[49m\u001b[43mexp_avg_sqs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 138\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_exp_avg_sqs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 139\u001b[0m \u001b[43m \u001b[49m\u001b[43mstate_steps\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 141\u001b[0m adam(\n\u001b[1;32m 142\u001b[0m params_with_grad,\n\u001b[1;32m 143\u001b[0m grads,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 160\u001b[0m found_inf\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfound_inf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m),\n\u001b[1;32m 161\u001b[0m )\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m loss\n", - "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/optim/adam.py:78\u001b[0m, in \u001b[0;36mAdam._init_group\u001b[0;34m(self, group, params_with_grad, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps)\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m group[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mparams\u001b[39m\u001b[38;5;124m'\u001b[39m]:\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m p\u001b[38;5;241m.\u001b[39mgrad \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 78\u001b[0m \u001b[43mparams_with_grad\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mappend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mp\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 79\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m p\u001b[38;5;241m.\u001b[39mgrad\u001b[38;5;241m.\u001b[39mis_sparse:\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAdam does not support sparse gradients, please consider SparseAdam instead\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], - "source": [ - "reg.train(train_dataloader, n_epochs=10)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "1bac6043", - "metadata": {}, - "outputs": [], - "source": [ - "reg = reg.cpu()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "182cc6ba", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "\n", - "\n", - "for idx, batch in enumerate(train_dataloader):\n", - " \n", - " # Get predicted redshifts\n", - " est_cat = encoder.sample(batch, use_mode=True)\n", - " pred_photometry = est_cat.to_dict()['galaxy_fluxes']\n", - " reshaped_photometry = rearrange(pred_photometry, 'b w h 1 d -> (b w h) d')\n", - " pred_redshifts = reg(reshaped_photometry).squeeze(-1)\n", - " \n", - " # Get true redshifts\n", - " true_redshifts = batch['tile_catalog']['redshifts']\n", - " \n", - " # Cut out border of true_redshifts\n", - " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", - " true_redshifts = true_redshifts.squeeze(-1)\n", - " \n", - " # Reshape \n", - " true_redshifts = rearrange(true_redshifts, 'b w h 1 -> (b w h)')\n", - " \n", - " # Add this batch to scatterplot\n", - " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=5, alpha=0.5)\n", - " ax.set_xlim(0,1)\n", - " ax.set_ylim(0,1)\n", - " \n", - " if idx > 10:\n", - " break" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d2556b48", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "017f8444", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2dfc8579", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3e7b963d", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "98cd5748", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b0a982e1", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b6c064c9", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "019faf5a", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "09ca506b", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d0bc5cd9", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "802d4ced", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2fec44ca", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7e71112d", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 128, - "id": "76fa79b7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "41" - ] - }, - "execution_count": 128, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "idx" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "id": "fd10e946", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([0.0803, 0.1421, 0.0950, ..., 0.1562, 0.3843, 0.1102])" - ] - }, - "execution_count": 129, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "true_redshifts" - ] - }, - { - "cell_type": "code", - "execution_count": 130, - "id": "42e066fa", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([0.1449, 0.1449, 0.1449, ..., 0.1449, 0.1449, 0.1449],\n", - " grad_fn=)" - ] - }, - "execution_count": 130, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred_redshifts" - ] - }, - { - "cell_type": "code", - "execution_count": 131, - "id": "35a6faaa", - "metadata": {}, - "outputs": [], - "source": [ - "est_cat = encoder.sample(batch, use_mode=True)\n", - "pred_photometry = est_cat.to_dict()['galaxy_fluxes']\n", - "reshaped_photometry = rearrange(pred_photometry, 'b w h 1 d -> (b w h) d')\n", - "pred_redshifts = reg(reshaped_photometry).squeeze(-1)" - ] - }, - { - "cell_type": "code", - "execution_count": 132, - "id": "274e5e3b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([0.1449, 0.1449, 0.1449, ..., 0.1449, 0.1449, 0.1449],\n", - " grad_fn=)" - ] - }, - "execution_count": 132, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred_redshifts" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "18929c00", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14901ab5", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dc4c106c", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "51de653e", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0c0b82b4", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a3ef2c31", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "431f811c", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0242b8cc", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 47, - "id": "f275c902", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "90960" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(all_diffs)" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "id": "ae58b604", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor(1016)" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "(all_diffs > 1000).sum()" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "d341f26e", - "metadata": {}, - "outputs": [], - "source": [ - "all_diffs = torch.cat(u).detach()" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "aea1938e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor(37740.6953)" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "all_diffs.max()" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "e39187bc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor(8.9407e-06)" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "all_diffs.min()" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "id": "569ae534", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(array([7.2441e+04, 6.3900e+03, 2.9110e+03, 1.8080e+03, 1.1640e+03,\n", - " 9.0700e+02, 6.9100e+02, 5.3200e+02, 4.6300e+02, 3.5200e+02,\n", - " 2.9700e+02, 2.5600e+02, 2.2500e+02, 2.0500e+02, 1.9400e+02,\n", - " 1.5400e+02, 1.2700e+02, 1.3300e+02, 1.3000e+02, 1.1200e+02,\n", - " 9.4000e+01, 8.1000e+01, 6.9000e+01, 6.1000e+01, 8.0000e+01,\n", - " 3.6000e+01, 6.0000e+01, 4.7000e+01, 3.4000e+01, 4.0000e+01,\n", - " 2.7000e+01, 3.8000e+01, 3.7000e+01, 3.8000e+01, 3.1000e+01,\n", - " 3.5000e+01, 2.5000e+01, 2.4000e+01, 2.6000e+01, 8.0000e+00,\n", - " 2.4000e+01, 1.1000e+01, 2.0000e+01, 2.2000e+01, 2.1000e+01,\n", - " 1.4000e+01, 1.3000e+01, 1.3000e+01, 1.0000e+01, 1.0000e+01,\n", - " 1.0000e+01, 1.2000e+01, 1.5000e+01, 8.0000e+00, 8.0000e+00,\n", - " 1.0000e+01, 1.4000e+01, 1.0000e+01, 9.0000e+00, 5.0000e+00,\n", - " 3.0000e+00, 6.0000e+00, 9.0000e+00, 1.1000e+01, 4.0000e+00,\n", - " 7.0000e+00, 2.0000e+00, 8.0000e+00, 8.0000e+00, 7.0000e+00,\n", - " 8.0000e+00, 9.0000e+00, 3.0000e+00, 3.0000e+00, 3.0000e+00,\n", - " 5.0000e+00, 8.0000e+00, 6.0000e+00, 4.0000e+00, 4.0000e+00,\n", - " 1.0000e+00, 5.0000e+00, 4.0000e+00, 2.0000e+00, 3.0000e+00,\n", - " 5.0000e+00, 5.0000e+00, 2.0000e+00, 3.0000e+00, 4.0000e+00,\n", - " 5.0000e+00, 5.0000e+00, 0.0000e+00, 1.0000e+00, 4.0000e+00,\n", - " 1.0000e+00, 4.0000e+00, 5.0000e+00, 5.0000e+00, 4.0000e+00,\n", - " 6.0000e+00, 2.0000e+00, 3.0000e+00, 2.0000e+00, 2.0000e+00,\n", - " 1.0000e+00, 2.0000e+00, 0.0000e+00, 4.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 2.0000e+00, 2.0000e+00, 2.0000e+00, 1.0000e+00,\n", - " 3.0000e+00, 2.0000e+00, 1.0000e+00, 1.0000e+00, 4.0000e+00,\n", - " 3.0000e+00, 3.0000e+00, 4.0000e+00, 1.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 2.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", - " 2.0000e+00, 2.0000e+00, 1.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 4.0000e+00, 1.0000e+00, 1.0000e+00, 0.0000e+00, 2.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 2.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", - " 1.0000e+00, 1.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 1.0000e+00, 2.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 2.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 0.0000e+00, 3.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 2.0000e+00, 1.0000e+00, 2.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00,\n", - " 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 1.0000e+00, 2.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 1.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n", - " 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00]),\n", - " array([8.94069672e-06, 3.77407036e+01, 7.54813995e+01, ...,\n", - " 3.76652148e+04, 3.77029531e+04, 3.77406953e+04]),\n", - " )" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "ax.hist(all_diffs, bins=1000)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1b03cdb1", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3b72842b", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b8613ab0", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "eafd8cbd", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig_u = plot_hists(u, 'u')" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "79ba0515", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "fig_u" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f39e7ae1", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "286dbc4c", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8f60e9b1", - "metadata": {}, - "outputs": [], - "source": [ - "batch['tile_catalog'].keys()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "74dab209", - "metadata": {}, - "outputs": [], - "source": [ - "true_fluxes = batch['tile_catalog']['galaxy_fluxes']\n", - "true_sources = batch['tile_catalog']['n_sources']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ecf3239a", - "metadata": {}, - "outputs": [], - "source": [ - "pred_fluxes = est_cat.to_dict()['galaxy_fluxes']\n", - "pred_sources = est_cat.to_dict()['n_sources']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "857829f7", - "metadata": {}, - "outputs": [], - "source": [ - "pred_fluxes.shape, pred_sources.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7573d589", - "metadata": {}, - "outputs": [], - "source": [ - "source_tiles_x, source_tiles_y = torch.where(true_sources[image_to_show] != 0)\n", - "tile_indices_where_source = list(zip(source_tiles_x, source_tiles_y))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d38f9890", - "metadata": {}, - "outputs": [], - "source": [ - "(1,9) in tile_indices_where_source" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2db5a0a2", - "metadata": {}, - "outputs": [], - "source": [ - "batch['tile_catalog']['locs'][image_to_show][1,9]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2ff8b1f2", - "metadata": {}, - "outputs": [], - "source": [ - "est_cat['locs'][image_to_show][0, 8] #subtract 1 due to border elimination" - ] - }, - { - "cell_type": "markdown", - "id": "a87e6156", - "metadata": {}, - "source": [ - "Having hooked up objects correctly by checking location, let's check fluxes. Per the eye test, we're not really detecting sources that aren't there, so let's filter by detected sources." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "77600690", - "metadata": {}, - "outputs": [], - "source": [ - "image_indices, source_tiles_pred_x, source_tiles_pred_y = torch.where(pred_sources != 0)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f7e07b4b", - "metadata": {}, - "outputs": [], - "source": [ - "pred_locs = torch.round(est_cat['locs'][image_indices, source_tiles_pred_x, source_tiles_pred_y], decimals=2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b694fde0", - "metadata": {}, - "outputs": [], - "source": [ - "true_locs = torch.round(batch['tile_catalog']['locs'][image_indices, source_tiles_pred_x+1, source_tiles_pred_y+1], decimals=2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4285af4b", - "metadata": {}, - "outputs": [], - "source": [ - "pred_locs[100], true_locs[100]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fb9e7cf9", - "metadata": {}, - "outputs": [], - "source": [ - "pred_locs[101], true_locs[101]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7290786d", - "metadata": {}, - "outputs": [], - "source": [ - "source_tiles_pred_x, source_tiles_pred_y = torch.where(pred_sources[image_to_show] != 0)\n", - "tile_indices_where_source_pred = list(zip(source_tiles_pred_x, source_tiles_pred_y))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9f34fb5e", - "metadata": {}, - "outputs": [], - "source": [ - "torch.round(est_cat['locs'][image_to_show][source_tiles_pred_x, source_tiles_pred_y], decimals=2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "02348124", - "metadata": {}, - "outputs": [], - "source": [ - "torch.round(batch['tile_catalog']['locs'][image_to_show][source_tiles_pred_x+1, source_tiles_pred_y+1], decimals=2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "19de0411", - "metadata": {}, - "outputs": [], - "source": [ - "torch.round(est_cat['galaxy_fluxes'][image_to_show][source_tiles_pred_x, source_tiles_pred_y], decimals=2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "87071073", - "metadata": {}, - "outputs": [], - "source": [ - "torch.round(batch['tile_catalog']['galaxy_fluxes'][image_to_show][source_tiles_pred_x+1, source_tiles_pred_y+1], decimals=2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9030255f", - "metadata": {}, - "outputs": [], - "source": [ - "def u_abs_diff(pred_photometry, true_photometry):\n", - " return torch.abs(pred_photometry - true_photometry)[:,0]\n", - "\n", - "def g_abs_diff(pred_photometry, true_photometry):\n", - " return torch.abs(pred_photometry - true_photometry)[:,1]\n", - "\n", - "def r_abs_diff(pred_photometry, true_photometry):\n", - " return torch.abs(pred_photometry - true_photometry)[:,2]\n", - "\n", - "def i_abs_diff(pred_photometry, true_photometry):\n", - " return torch.abs(pred_photometry - true_photometry)[:,3]\n", - "\n", - "def z_abs_diff(pred_photometry, true_photometry):\n", - " return torch.abs(pred_photometry - true_photometry)[:,4]\n", - "\n", - "def get_photometry_diffs(batch):\n", - " true_fluxes = batch['tile_catalog']['galaxy_fluxes']\n", - " true_sources = batch['tile_catalog']['n_sources']\n", - " \n", - " est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", - " est_cat = est_cat.to_dict()\n", - " \n", - " pred_fluxes = est_cat.to_dict()['galaxy_fluxes']\n", - " pred_sources = est_cat.to_dict()['n_sources']\n", - " \n", - " image_indices, source_tiles_pred_x, source_tiles_pred_y = torch.where(pred_sources != 0)\n", - " \n", - " pred_flux = est_cat['galaxy_fluxs'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)\n", - " true_flux = batch['tile_catalog']['galaxy_fluxes'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)\n", - " \n", - " udiffs = u_abs_diff(pred_flux, true_flux)\n", - " gdiffs = g_abs_diff(pred_flux, true_flux)\n", - " rdiffs = r_abs_diff(pred_flux, true_flux)\n", - " idiffs = i_abs_diff(pred_flux, true_flux)\n", - " zdiffs = z_abs_diff(pred_flux, true_flux)\n", - " \n", - " return udiffs, gdiffs, rdiffs, idiffs, zdiffs\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "214cb753", - "metadata": {}, - "outputs": [], - "source": [ - "true_fluxes = batch['tile_catalog']['galaxy_fluxes']\n", - "true_sources = batch['tile_catalog']['n_sources']\n", - "\n", - "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", - "est_cat = est_cat.to_dict()\n", - "\n", - "pred_fluxes = est_cat['galaxy_fluxes']\n", - "pred_sources = est_cat['n_sources']\n", - "\n", - "image_indices, source_tiles_pred_x, source_tiles_pred_y = torch.where(pred_sources != 0)\n", - "\n", - "pred_flux = est_cat['galaxy_fluxes'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)\n", - "true_flux = batch['tile_catalog']['galaxy_fluxes'][image_indices, source_tiles_pred_x, source_tiles_pred_y].squeeze(1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "71d92901", - "metadata": {}, - "outputs": [], - "source": [ - "pred_flux.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8dfb2289", - "metadata": {}, - "outputs": [], - "source": [ - "true_flux.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "01e0e672", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "499a0bd2", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "c46aa4f0", - "metadata": {}, - "source": [ - "Evidently, we're not doing terribly at predicting sources or their locations; let's assume then that we havne't broken the existing functionality of BLISS. We're interested in the quality of our photometric redshift estimates though. Let's plot these in a scatterplot across the whole training set. This will be quite a dense scatterplot because of the sheer number of images we train on." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ff8c8535", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots()\n", - "\n", - "\n", - "for idx, batch in enumerate(train_dataloader):\n", - " est_cat = encoder.sample(batch, use_mode=True)\n", - " pred_redshifts = est_cat.to_dict()['redshifts']\n", - " true_redshifts = batch['tile_catalog']['redshifts']\n", - " \n", - " # Cut out border of true_redshifts\n", - " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", - " true_redshifts = true_redshifts.squeeze(-1)\n", - " \n", - " # Add this batch to scatterplot\n", - " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=5, alpha=0.5)\n", - " ax.set_xlim(0,1)\n", - " ax.set_ylim(0,1)\n", - " \n", - " if idx > 1000:\n", - " break" - ] - }, - { - "cell_type": "markdown", - "id": "6fc32aee", - "metadata": {}, - "source": [ - "Very poor." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cd5e214c", - "metadata": {}, - "outputs": [], - "source": [ - "training_mean = 0.\n", - "for idx, batch in enumerate(train_dataloader):\n", - " true_redshifts = batch['tile_catalog']['redshifts']\n", - " n_batch = 32*18*18\n", - " sum_this_batch = true_redshifts.sum()\n", - " training_mean = (training_mean * (idx * n_batch) + sum_this_batch)/((idx+1)*n_batch)\n", - " \n", - "print('Mean of Training Redshifts: {}'.format(training_mean))" - ] - }, - { - "cell_type": "markdown", - "id": "1f08f08c", - "metadata": {}, - "source": [ - "### Prior Catalog Construction: DC2\n", - "\n", - "We use the DC2 truth tables to get redshifts and photometry values. There is a large number of galaxies in these, so we filter down to only about 5 million or so to use in our empirical prior. As above, the prior of galaxies samples a vector of values `(redshift, u,g,r,i,z)` uniformly from these objects. \n", - "\n", - "As above, we only sample galaxies not stars." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c7435fd6", - "metadata": {}, - "outputs": [], - "source": [ - "with initialize(config_path=\"../\", version_base=None):\n", - " cfg = compose(\"redshift\", {\n", - " \"predict.weight_save_path=/data/scratch/declan/dc2_encoder_ckpt.ckpt\",\n", - " \"cached_simulator.cached_data_path=/data/scratch/declan/dc2_like_galaxies\"\n", - " })" - ] - }, - { - "cell_type": "markdown", - "id": "2e816c0b", - "metadata": {}, - "source": [ - "### Semi-Synthetic Data: DC2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cfcad174", - "metadata": {}, - "outputs": [], - "source": [ - "# This cell will take some time to run to load the dataset\n", - "pl.seed_everything(cfg.train.seed)\n", - "\n", - "# setup dataset and encoder\n", - "dataset = instantiate(cfg.train.data_source)\n", - "encoder = instantiate(cfg.train.encoder)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c401fce2", - "metadata": {}, - "outputs": [], - "source": [ - "train_dataloader = dataset.train_dataloader() \n", - "batch = next(iter(train_dataloader))\n", - "print('Batch of images is of shape {}'.format(batch['images'].shape))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e1171b84", - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "n_to_show = 10\n", - "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", - "axs = axs.flatten()\n", - "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", - "for img, ax in zip(imgs, axs):\n", - " ax.imshow(img)\n", - " \n", - "for a in axs:\n", - " a.set_xticklabels([])\n", - " a.set_yticklabels([])\n", - "\n", - "plt.subplots_adjust(wspace=0, hspace=0)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "bb7f14e1", - "metadata": {}, - "source": [ - "### In-Sample Training Results: DC2" - ] - }, - { - "cell_type": "markdown", - "id": "5afbc1eb", - "metadata": {}, - "source": [ - "We fit the encoder using the BLISS pipeline. Essentially, photo-$z$ estimation is performed via a module in parallel to the existing pipeline: the current pipeline estimates locations, types, and fluxes of each astronomical object. We simply add outputs to the encoder network that are used to parameterize the variational distributions on redshift.\n", - "\n", - "Currently, the variational distributions on redshift are univariate Gaussian; a mixture of Gaussians could be used in the future. As with other quantities, the per-tile NLL contribution for redshift is conditioned on the presence of a true source in that tile, etc. We leave other aspects of BLISS unchanged, so in addition we also estimate the number of sources, the type of each source, the fluxes and galaxy parameters of each source, etc.\n", - "\n", - "Let's load the fitted encoder and check that we are detecting sources properly. We overlay red \"x\"s on the posterior mode per-tile of the detected source, if a source is detected in that tile. We'll just overlay on top of the r-band image, as we don't have coaddition support for SDSS." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "77ed3c44", - "metadata": {}, - "outputs": [], - "source": [ - "PATH = \"/data/scratch/declan/dc2_encoder_ckpt.ckpt\"\n", - "checkpoint = torch.load(PATH)\n", - "encoder.load_state_dict(checkpoint['state_dict'])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c3dd71f3", - "metadata": {}, - "outputs": [], - "source": [ - "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", - "est_cat = est_cat.to_dict()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "be683ec3", - "metadata": {}, - "outputs": [], - "source": [ - "# Plot r_band for a selected image, overlay detected source locations\n", - "image_to_show = 8\n", - "fig, ax = plt.subplots()\n", - "ax.imshow(batch['images'][image_to_show].sum(0)) # Coadd by simple summation" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "421d1788", - "metadata": {}, - "outputs": [], - "source": [ - "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", - "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", - "est_cat = encoder.sample(batch, use_mode=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "205ba6d6", - "metadata": {}, - "outputs": [], - "source": [ - "mp = encoder.tiles_to_crop * encoder.tile_slen\n", - "fig = my_plot_detections(image_to_show, batch[\"images\"], target_cat_cropped, est_cat, margin_px=mp, figsize=(6,6))" - ] - }, - { - "cell_type": "markdown", - "id": "24d0b7d9", - "metadata": {}, - "source": [ - "Evidently, we're not doing terribly at predicting sources or their locations; let's assume then that we havne't broken the existing functionality of BLISS. We're interested in the quality of our photometric redshift estimates though. Let's plot these in a scatterplot across the whole training set. This will be quite a dense scatterplot because of the sheer number of images we train on." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3828b298", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots()\n", - "\n", - "\n", - "for idx, batch in enumerate(train_dataloader):\n", - " est_cat = encoder.sample(batch, use_mode=True)\n", - " pred_redshifts = est_cat.to_dict()['redshifts']\n", - " true_redshifts = batch['tile_catalog']['redshifts']\n", - " \n", - " # Cut out border of true_redshifts\n", - " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", - " true_redshifts = true_redshifts.squeeze(-1)\n", - " \n", - " # Add this batch to scatterplot\n", - " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=5, alpha=0.5)\n", - " ax.set_xlim(0,3)\n", - " ax.set_ylim(0,3)\n", - " \n", - " if idx > 100:\n", - " break" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6c38aa7e", - "metadata": {}, - "outputs": [], - "source": [ - "training_mean = 0.\n", - "for idx, batch in enumerate(train_dataloader):\n", - " true_redshifts = batch['tile_catalog']['redshifts']\n", - " n_batch = 32*18*18\n", - " sum_this_batch = true_redshifts.sum()\n", - " training_mean = (training_mean * (idx * n_batch) + sum_this_batch)/((idx+1)*n_batch)\n", - " \n", - "print('Mean of Training Redshifts: {}'.format(training_mean))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b9bed3f2", - "metadata": {}, - "outputs": [], - "source": [ - "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", - "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", - "est_cat = encoder.sample(batch, use_mode=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "78e20757", - "metadata": {}, - "outputs": [], - "source": [ - "def marginal_detections(pred_marginal): # noqa: WPS430\n", - " return pred_marginal.sample(use_mode=False)\n", - "\n", - "pred = encoder.infer(batch, marginal_detections)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2f51bd10", - "metadata": {}, - "outputs": [], - "source": [ - "pred['marginal'].factors['redshift'].scale" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a73715e6", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometryRaw.ipynb b/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometryRaw.ipynb deleted file mode 100644 index a447c04f6..000000000 --- a/case_studies/redshift_estimation/notebooks/other/RedshiftFromPhotometryRaw.ipynb +++ /dev/null @@ -1,1766 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "d3578c49", - "metadata": {}, - "outputs": [], - "source": [ - "import torch\n", - "import numpy as np\n", - "import math\n", - "import os\n", - "import pytorch_lightning as pl\n", - "import torch\n", - "from hydra.utils import instantiate\n", - "import matplotlib.pyplot as plt\n", - "from case_studies.redshift_estimation.catalog import RedshiftFullCatalog, RedshiftTileCatalog\n", - "from bliss.encoder.plotting import plot_detections, my_plot_detections\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "import torch.nn as nn\n", - "from einops import rearrange, reduce, repeat\n", - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "33c107e3", - "metadata": {}, - "outputs": [], - "source": [ - "from os import environ\n", - "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", - "\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from bliss.main import predict\n", - "\n", - "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "2827e204", - "metadata": {}, - "outputs": [], - "source": [ - "with initialize(config_path=\"../\", version_base=None):\n", - " cfg = compose(\"redshift\", {\n", - " \"predict.weight_save_path=/data/scratch/declan/sdss_encoder_ckpt.ckpt\",\n", - " \"cached_simulator.cached_data_path=/data/scratch/declan/sdss_like_galaxies\"\n", - " })" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "f2895e59", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Global seed set to 42\n" - ] - }, - { - "data": { - "text/plain": [ - "42" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pl.seed_everything(cfg.train.seed)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "81e858b4", - "metadata": {}, - "outputs": [], - "source": [ - "sdss_photo_z = pd.read_csv('/data/scratch/declan/GALAXY.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "0249edd0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Unnamed: 0objIDu_bandg_bandr_bandi_bandz_bandredshiftsource_type
01123764872014240161117.1512315.4970114.6786414.2341813.902720.021222GALAXY
12123765079514651062721.3330119.1311217.7123317.1491116.762720.203783GALAXY
24123765079514644503119.5000517.5924816.6766816.2050215.846540.064656GALAXY
35123764872014240167019.4841918.3262917.8438117.5267917.420980.052654GALAXY
46123764872014253289120.4356418.6515417.4687717.0000016.668500.213861GALAXY
57123765079514651090325.3399621.4155919.6329418.8215618.315930.448220GALAXY
68123764872014240177422.2111520.3569518.5319817.9560017.546550.371128GALAXY
79123765079514657609119.9561717.9929016.8473216.3603015.940580.121271GALAXY
810123765079514664153220.3204918.5094817.6159617.2063116.907060.097086GALAXY
912123765079514657603020.7763518.6478617.3099616.7120316.221140.126590GALAXY
\n", - "
" - ], - "text/plain": [ - " Unnamed: 0 objID u_band g_band r_band i_band \\\n", - "0 1 1237648720142401611 17.15123 15.49701 14.67864 14.23418 \n", - "1 2 1237650795146510627 21.33301 19.13112 17.71233 17.14911 \n", - "2 4 1237650795146445031 19.50005 17.59248 16.67668 16.20502 \n", - "3 5 1237648720142401670 19.48419 18.32629 17.84381 17.52679 \n", - "4 6 1237648720142532891 20.43564 18.65154 17.46877 17.00000 \n", - "5 7 1237650795146510903 25.33996 21.41559 19.63294 18.82156 \n", - "6 8 1237648720142401774 22.21115 20.35695 18.53198 17.95600 \n", - "7 9 1237650795146576091 19.95617 17.99290 16.84732 16.36030 \n", - "8 10 1237650795146641532 20.32049 18.50948 17.61596 17.20631 \n", - "9 12 1237650795146576030 20.77635 18.64786 17.30996 16.71203 \n", - "\n", - " z_band redshift source_type \n", - "0 13.90272 0.021222 GALAXY \n", - "1 16.76272 0.203783 GALAXY \n", - "2 15.84654 0.064656 GALAXY \n", - "3 17.42098 0.052654 GALAXY \n", - "4 16.66850 0.213861 GALAXY \n", - "5 18.31593 0.448220 GALAXY \n", - "6 17.54655 0.371128 GALAXY \n", - "7 15.94058 0.121271 GALAXY \n", - "8 16.90706 0.097086 GALAXY \n", - "9 16.22114 0.126590 GALAXY " - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sdss_photo_z.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "57ac83ee", - "metadata": {}, - "outputs": [], - "source": [ - "x = sdss_photo_z.values[:,2:7]\n", - "y = sdss_photo_z.values[:,7]" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "18252578", - "metadata": {}, - "outputs": [], - "source": [ - "from tqdm import tqdm\n", - "\n", - "class Regressor(torch.nn.Module):\n", - " def __init__(\n", - " self, in_dim, hidden_dim, out_dim, device\n", - " ):\n", - " super().__init__()\n", - " self.in_dim = in_dim\n", - " self.hidden_dim = hidden_dim\n", - " self.out_dim = out_dim\n", - " self.device = device\n", - " self.loss_fcn = nn.MSELoss()\n", - "\n", - " self.dense = torch.nn.Sequential(\n", - " nn.Linear(in_dim, hidden_dim),\n", - " nn.ReLU(),\n", - " nn.Linear(hidden_dim, hidden_dim),\n", - " nn.ReLU(),\n", - " nn.Linear(hidden_dim, hidden_dim),\n", - " nn.ReLU(),\n", - " nn.Linear(hidden_dim, out_dim),\n", - " )\n", - " \n", - " self.optimizer = torch.optim.Adam(self.dense.parameters(), lr=1e-3)\n", - "\n", - " def forward(self, photometry):\n", - " return self.dense(photometry)\n", - " \n", - " def train_one_epoch(self, dataloader):\n", - " losses = []\n", - " for idx, (x, y) in tqdm(enumerate(dataloader), unit='batch'):\n", - " x = x.to(self.device)\n", - " y = y.to(self.device)\n", - " self.optimizer.zero_grad()\n", - " loss = self.loss_fcn(self.dense(x).view(-1), y)\n", - " loss.backward()\n", - " self.optimizer.step()\n", - " \n", - " losses.append(loss.item())\n", - " \n", - " return torch.tensor(losses).mean()\n", - " \n", - " def train(self, dataloader, n_epochs=100):\n", - " for i in range(n_epochs):\n", - " this_epoch_average_loss = self.train_one_epoch(dataloader)\n", - " print('Epoch {}: Avg. Loss {}'.format(i, this_epoch_average_loss))" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "c57d5f6b", - "metadata": {}, - "outputs": [], - "source": [ - "x = x.astype(float)\n", - "y = y.astype(float)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "bc568608", - "metadata": {}, - "outputs": [], - "source": [ - "from torch.utils.data import TensorDataset, DataLoader\n", - "\n", - "# use x_train and y_train as numpy array without further modification\n", - "x_train = np.array(x)\n", - "y_train = np.array(y)\n", - "\n", - "# convert to numpys to tensor\n", - "tensor_x = torch.Tensor(x_train) \n", - "tensor_y = torch.Tensor(y_train)\n", - "# create the dataset\n", - "custom_dataset = TensorDataset(tensor_x,tensor_y) \n", - "# create your dataloader\n", - "train_dataloader = DataLoader(custom_dataset,batch_size=2048) " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "3d985871", - "metadata": {}, - "outputs": [], - "source": [ - "reg = Regressor(5, 256, 1, 'cuda')\n", - "reg = reg.to('cuda')" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "e945a282", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "418batch [00:16, 24.80batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 0: Avg. Loss 0.036019641906023026\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "418batch [00:14, 29.54batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1: Avg. Loss 0.004865583498030901\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "418batch [00:10, 38.39batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 2: Avg. Loss 0.0038388564717024565\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "418batch [00:10, 40.87batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 3: Avg. Loss 0.002813660306856036\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "418batch [00:11, 36.96batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 4: Avg. Loss 0.002674606628715992\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "418batch [00:14, 29.32batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 5: Avg. Loss 0.002406184794381261\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "418batch [00:12, 33.40batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 6: Avg. Loss 0.0022849238011986017\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "418batch [00:10, 41.30batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 7: Avg. Loss 0.0022694298531860113\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "418batch [00:13, 31.45batch/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 8: Avg. Loss 0.0020379466004669666\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "418batch [00:10, 41.32batch/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 9: Avg. Loss 0.002096329815685749\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "reg.train(train_dataloader, n_epochs=10)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "0263a83f", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "101batch [00:02, 35.65batch/s]\n" - ] - } - ], - "source": [ - "preds = []\n", - "trues = []\n", - "for idx, (x, y) in tqdm(enumerate(train_dataloader), unit='batch'):\n", - " x = x.to(reg.device)\n", - " y = y.to(reg.device)\n", - " pred_this_batch = reg.dense(x)\n", - " preds.append(pred_this_batch)\n", - " trues.append(y)\n", - " \n", - "\n", - " if idx > 100:\n", - " break" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "e43aafc5", - "metadata": {}, - "outputs": [], - "source": [ - "preds = torch.cat(preds)\n", - "trues = torch.cat(trues)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "33aaebd0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.scatter(preds.detach().cpu().numpy(), trues.detach().cpu().numpy(), alpha=0.1, s=3)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "df3161a1", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([208896, 1])" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "preds.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e59dc498", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1f8f7ea1", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "62158678", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8b797d77", - "metadata": {}, - "outputs": [], - "source": [ - "# This cell will take some time to run to load the dataset\n", - "pl.seed_everything(cfg.train.seed)\n", - "\n", - "# setup dataset and encoder\n", - "dataset = instantiate(cfg.train.data_source)\n", - "encoder = instantiate(cfg.train.encoder)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0baa6a54", - "metadata": {}, - "outputs": [], - "source": [ - "bliss_train_dataloader = dataset.train_dataloader() \n", - "batch = next(iter(bliss_train_dataloader))\n", - "print('Batch of images is of shape {}'.format(batch['images'].shape))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1fd7eedd", - "metadata": {}, - "outputs": [], - "source": [ - "batch['tile_catalog'].keys()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7068d9e3", - "metadata": {}, - "outputs": [], - "source": [ - "fluxes_used = batch['tile_catalog']['galaxy_fluxes']\n", - "redshifts_used = batch['tile_catalog']['redshifts']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4500610f", - "metadata": {}, - "outputs": [], - "source": [ - "fluxes_used = rearrange(fluxes_used, 'b w h 1 d -> (b w h) d')\n", - "redshifts_used = rearrange(redshifts_used, 'b w h 1 d -> (b w h) d')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8602000c", - "metadata": {}, - "outputs": [], - "source": [ - "observations = torch.cat([fluxes_used, redshifts_used], axis=-1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "29844c09", - "metadata": {}, - "outputs": [], - "source": [ - "observations" - ] - }, - { - "cell_type": "markdown", - "id": "0940193f", - "metadata": {}, - "source": [ - "These observations should have been drawn from rows of GALAXY.csv, is my understanding." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8342ef66", - "metadata": {}, - "outputs": [], - "source": [ - "cfg.train.data_source" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1fc9f6ae", - "metadata": {}, - "outputs": [], - "source": [ - "sdss_photo_z.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8e484482", - "metadata": {}, - "outputs": [], - "source": [ - "observations[:,-1].max()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4cca24b5", - "metadata": {}, - "outputs": [], - "source": [ - "torch.where(observations[:,-1] > 0.934)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a751457b", - "metadata": {}, - "outputs": [], - "source": [ - "observations[10368]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6dd55271", - "metadata": {}, - "outputs": [], - "source": [ - "sdss_photo_z[(sdss_photo_z['redshift'] > 0.9345) & (sdss_photo_z['redshift'] < 0.9347)]" - ] - }, - { - "cell_type": "markdown", - "id": "9d23fa7e", - "metadata": {}, - "source": [ - "Not looking promising....let's draw from a random dataset?" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0c5a7754", - "metadata": {}, - "outputs": [], - "source": [ - "dataset = torch.load(\"/data/scratch/declan/sdss_like_galaxies/dataset_0.pt\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5a57f5f7", - "metadata": {}, - "outputs": [], - "source": [ - "this_image_fluxes = dataset[0]['tile_catalog']['galaxy_fluxes']\n", - "this_image_redshifts = dataset[0]['tile_catalog']['redshifts']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "da52dd94", - "metadata": {}, - "outputs": [], - "source": [ - "this_image_fluxes = rearrange(this_image_fluxes, 'h w 1 d -> (h w) d')\n", - "this_image_redshifts = rearrange(this_image_redshifts, 'h w 1 d -> (h w) d')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "17c145f4", - "metadata": {}, - "outputs": [], - "source": [ - "image_0 = torch.cat([this_image_fluxes, this_image_redshifts], -1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2469ad88", - "metadata": {}, - "outputs": [], - "source": [ - "image_0[:,-1].max().item()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "642bd120", - "metadata": {}, - "outputs": [], - "source": [ - "torch.where(image_0[:,-1] > .5734093)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b2db3736", - "metadata": {}, - "outputs": [], - "source": [ - "image_0[269]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fe2a146e", - "metadata": {}, - "outputs": [], - "source": [ - "sdss_photo_z[(sdss_photo_z['redshift'] > 0.5734093) & (sdss_photo_z['redshift'] < 0.5735)]" - ] - }, - { - "cell_type": "markdown", - "id": "1fa19048", - "metadata": {}, - "source": [ - "### Clearly there is an issue with the prior construction. Let's investigate (sigh)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "2c294788", - "metadata": {}, - "outputs": [], - "source": [ - "my_prior = instantiate(cfg.prior)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "97e105de", - "metadata": {}, - "outputs": [], - "source": [ - "cat = my_prior.sample()\n", - "cat = cat.to_dict()" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "6519eaaf", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cat.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "8d20ed4a", - "metadata": {}, - "outputs": [], - "source": [ - "this_image_fluxes = cat['galaxy_fluxes']\n", - "this_image_redshifts = cat['redshifts']" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "bd2c436f", - "metadata": {}, - "outputs": [], - "source": [ - "this_image_fluxes = rearrange(this_image_fluxes, 'b h w 1 d -> (b h w) d')\n", - "this_image_redshifts = rearrange(this_image_redshifts, 'b h w 1 d -> (b h w) d')" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "b439fda2", - "metadata": {}, - "outputs": [], - "source": [ - "all_objects = torch.cat([this_image_fluxes, this_image_redshifts], -1)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "229a83fe", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[19.0288, 17.8080, 17.3356, 17.0279, 16.8469, 0.0660],\n", - " [18.2855, 16.4914, 15.7722, 15.4235, 15.1650, 0.0632],\n", - " [20.7746, 19.5998, 18.6912, 18.2078, 17.8561, 0.1164],\n", - " ...,\n", - " [20.2237, 18.0903, 17.0952, 16.6836, 16.3568, 0.0904],\n", - " [19.9456, 18.2042, 17.2599, 16.8588, 16.4916, 0.1353],\n", - " [19.2419, 17.2537, 16.2417, 15.7919, 15.4254, 0.1132]])" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "all_objects" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "978274bc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.9982324838638306" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "all_objects[:,-1].max().item()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "7320deab", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(tensor([3169]),)" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "torch.where(all_objects[:,-1] > .998)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "249c4fa7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([21.5009, 21.1751, 20.5881, 19.9058, 19.3929, 0.9982])" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "all_objects[3169]" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "a16d09e6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Unnamed: 0objIDu_bandg_bandr_bandi_bandz_bandredshiftsource_type
166041195529123766640843869415921.5009021.1751220.5880819.9057919.392880.998232GALAXY
807272993907123765758709589610524.0752624.1511722.5724921.4852822.228040.998233GALAXY
\n", - "
" - ], - "text/plain": [ - " Unnamed: 0 objID u_band g_band r_band \\\n", - "166041 195529 1237666408438694159 21.50090 21.17512 20.58808 \n", - "807272 993907 1237657587095896105 24.07526 24.15117 22.57249 \n", - "\n", - " i_band z_band redshift source_type \n", - "166041 19.90579 19.39288 0.998232 GALAXY \n", - "807272 21.48528 22.22804 0.998233 GALAXY " - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sdss_photo_z[(sdss_photo_z['redshift'] > 0.998) & (sdss_photo_z['redshift'] < 0.999)]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ccb81c62", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e02d02e8", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "709ccfb3", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "735cbf97", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cdaa1106", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a6796831", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5e32fde1", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5f634836", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2d0d7a45", - "metadata": {}, - "outputs": [], - "source": [ - "from omegaconf import DictConfig, OmegaConf" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7ba13f9d", - "metadata": {}, - "outputs": [], - "source": [ - "my_dict = OmegaConf.to_container(cfg.prior)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "67a3cc7c", - "metadata": {}, - "outputs": [], - "source": [ - "my_dict.pop('_target_')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d5f5613f", - "metadata": {}, - "outputs": [], - "source": [ - "yo = RedshiftCSVPrior_Galaxy(**my_dict)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a7152227", - "metadata": {}, - "outputs": [], - "source": [ - "yo._sample_indices()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f06613b2", - "metadata": {}, - "outputs": [], - "source": [ - "latent_dims = (32, 20, 20, 1, 1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f3c75f0e", - "metadata": {}, - "outputs": [], - "source": [ - "array = (\n", - " pd.read_csv(\n", - " \"/data/scratch/declan/GALAXY.csv\",\n", - " header=0,\n", - " dtype={\n", - " \"u_band\": float,\n", - " \"g_band\": float,\n", - " \"r_band\": float,\n", - " \"i_band\": float,\n", - " \"z_band\": float,\n", - " \"redshift\": float,\n", - " },\n", - " )\n", - " .to_numpy()[:, 2:8]\n", - " .astype(float)\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ee24ffc7", - "metadata": {}, - "outputs": [], - "source": [ - "indices = np.random.choice(range(len(array)), size=latent_dims, replace=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ba2f5c57", - "metadata": {}, - "outputs": [], - "source": [ - "indices.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "72a1206b", - "metadata": {}, - "outputs": [], - "source": [ - "redshifts = torch.from_numpy(np.take(array[:, -1], indices))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "88944a3b", - "metadata": {}, - "outputs": [], - "source": [ - "redshifts[0,0,0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b81bbd03", - "metadata": {}, - "outputs": [], - "source": [ - "indices[0,0,0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "719615e1", - "metadata": {}, - "outputs": [], - "source": [ - "array[838932]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b4e9734c", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6ad6bacc", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0ecc428a", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "24678867", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "91a25144", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bad012b2", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0094bbac", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1e93d6e2", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1edeb2fb", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4893fe4e", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "490937ba", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2cf6ba39", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6ad334c9", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1054744a", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1e369b33", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f5ba86a7", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14b7a736", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ba4fd3c5", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0e55b358", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e82a2b07", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e0cbfeef", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "50602626", - "metadata": {}, - "outputs": [], - "source": [ - "dataset[0].keys()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8e6221d8", - "metadata": {}, - "outputs": [], - "source": [ - "dataset[1].keys()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "82e0d214", - "metadata": {}, - "outputs": [], - "source": [ - "type(dataset[0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e1bcde4", - "metadata": {}, - "outputs": [], - "source": [ - "dataset" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4b4c3fe9", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f3ceeffb", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "10e413b4", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "22b81ab3", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "07058a9c", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e08e3074", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b1547ef2", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fb8d460d", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "41d37537", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0e88385a", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2a94f1db", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3dbada64", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ccb490d1", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d0af4d0d", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "61691aa7", - "metadata": {}, - "outputs": [], - "source": [ - "fluxes_used.shape, redshifts_used.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b87a36f1", - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "n_to_show = 10\n", - "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", - "axs = axs.flatten()\n", - "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", - "for img, ax in zip(imgs, axs):\n", - " ax.imshow(img)\n", - " \n", - "for a in axs:\n", - " a.set_xticklabels([])\n", - " a.set_yticklabels([])\n", - "\n", - "plt.subplots_adjust(wspace=0, hspace=0)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8c2e6c58", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/other/SDSS-LikeDataExploration.ipynb b/case_studies/redshift_estimation/notebooks/other/SDSS-LikeDataExploration.ipynb deleted file mode 100644 index 1e03d307b..000000000 --- a/case_studies/redshift_estimation/notebooks/other/SDSS-LikeDataExploration.ipynb +++ /dev/null @@ -1,1004 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 20, - "id": "32e7717d", - "metadata": {}, - "outputs": [], - "source": [ - "import torch\n", - "import os\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "d703e56c", - "metadata": {}, - "outputs": [], - "source": [ - "path = \"/data/scratch/declan/sdss_like_galaxies/\"" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "bdbf73c5", - "metadata": {}, - "outputs": [], - "source": [ - "sample = torch.load(path + \"dataset_0.pt\")" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "8c18ba44", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "list" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(sample)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "fe8b934e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1024" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(sample)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "6828f6e4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(sample[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "317dddaf", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['images', 'background', 'deconvolution', 'psf_params', 'tile_catalog'])" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sample[0].keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "70263142", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([5, 80, 80])" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sample[0]['images'].shape" - ] - }, - { - "cell_type": "markdown", - "id": "5dddbedc", - "metadata": {}, - "source": [ - "The 5 images above correspond to the u,g,r,i,z bands. We can plot each of them." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "5052418f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(nrows=1, ncols=5, figsize=(20,100))\n", - "ax[0].imshow(sample[0]['images'][0])\n", - "ax[1].imshow(sample[0]['images'][1])\n", - "ax[2].imshow(sample[0]['images'][2])\n", - "ax[3].imshow(sample[0]['images'][3])\n", - "ax[4].imshow(sample[0]['images'][4])" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "edda8a1d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[0.2134, 0.0712, 0.0306, 0.0294, 0.1863, 0.0150, 0.1727, 0.0317, 0.0226,\n", - " 0.2936, 0.1327, 0.1259, 0.1309, 0.3612, 0.1337, 0.0843, 0.0562, 0.0156,\n", - " 0.0834, 0.1396],\n", - " [0.4086, 0.2834, 0.0627, 0.0643, 0.1496, 0.1052, 0.0562, 0.0159, 0.2009,\n", - " 0.1089, 0.0686, 0.0614, 0.4613, 0.0774, 0.1728, 0.2064, 0.4167, 0.1146,\n", - " 0.1415, 0.3949],\n", - " [0.1079, 0.1110, 0.0737, 0.1308, 0.2169, 0.0879, 0.1795, 0.0331, 0.0127,\n", - " 0.0392, 0.1160, 0.2100, 0.1195, 0.0563, 0.1292, 0.0510, 0.1049, 0.0257,\n", - " 0.2521, 0.0809],\n", - " [0.2685, 0.1217, 0.0897, 0.2009, 0.1018, 0.1028, 0.0617, 0.2257, 0.1794,\n", - " 0.0250, 0.1252, 0.0556, 0.0897, 0.1231, 0.0767, 0.1133, 0.1262, 0.0892,\n", - " 0.0292, 0.0952],\n", - " [0.0398, 0.0749, 0.1000, 0.0608, 0.0637, 0.4909, 0.0686, 0.0626, 0.1083,\n", - " 0.0652, 0.3225, 0.1226, 0.0508, 0.1016, 0.1393, 0.0292, 0.0442, 0.3917,\n", - " 0.0969, 0.0562],\n", - " [0.0957, 0.0292, 0.0449, 0.3006, 0.0706, 0.0063, 0.1052, 0.0983, 0.0217,\n", - " 0.3504, 0.1213, 0.0552, 0.2548, 0.1910, 0.1090, 0.1439, 0.2729, 0.2534,\n", - " 0.0845, 0.3838],\n", - " [0.2650, 0.1043, 0.1103, 0.2062, 0.1152, 0.1691, 0.1018, 0.0702, 0.0309,\n", - " 0.1021, 0.3720, 0.1231, 0.0785, 0.1602, 0.0773, 0.2175, 0.1729, 0.0832,\n", - " 0.1186, 0.0834],\n", - " [0.3455, 0.4696, 0.4919, 0.1642, 0.1164, 0.2027, 0.1191, 0.0426, 0.1550,\n", - " 0.1887, 0.0665, 0.3645, 0.3500, 0.1455, 0.0427, 0.0741, 0.0947, 0.1310,\n", - " 0.1034, 0.0384],\n", - " [0.2024, 0.1070, 0.2823, 0.0366, 0.0479, 0.1109, 0.0363, 0.1693, 0.1408,\n", - " 0.0814, 0.0957, 0.1345, 0.3363, 0.0243, 0.1707, 0.1857, 0.0238, 0.0660,\n", - " 0.1559, 0.1249],\n", - " [0.1487, 0.1415, 0.0659, 0.0172, 0.0972, 0.0631, 0.3673, 0.1354, 0.0157,\n", - " 0.1733, 0.1170, 0.0779, 0.0987, 0.1510, 0.0273, 0.1333, 0.1646, 0.4769,\n", - " 0.1399, 0.3651],\n", - " [0.0963, 0.1720, 0.0750, 0.1278, 0.0341, 0.0245, 0.1656, 0.1405, 0.0917,\n", - " 0.1864, 0.0466, 0.0678, 0.1811, 0.1358, 0.1230, 0.1239, 0.1211, 0.0739,\n", - " 0.0491, 0.1215],\n", - " [0.1201, 0.2914, 0.2204, 0.0479, 0.1360, 0.0365, 0.1092, 0.1230, 0.1314,\n", - " 0.5546, 0.1357, 0.0810, 0.1397, 0.1311, 0.0594, 0.1556, 0.0673, 0.0365,\n", - " 0.0657, 0.1346],\n", - " [0.0112, 0.0872, 0.2030, 0.0614, 0.5551, 0.0469, 0.1561, 0.1443, 0.1614,\n", - " 0.0965, 0.5741, 0.3287, 0.1302, 0.0622, 0.4076, 0.1260, 0.0537, 0.1285,\n", - " 0.0955, 0.1461],\n", - " [0.0694, 0.2428, 0.1226, 0.0627, 0.1111, 0.2097, 0.1425, 0.1316, 0.1607,\n", - " 0.1161, 0.3207, 0.5405, 0.1360, 0.0675, 0.1140, 0.1547, 0.0921, 0.0286,\n", - " 0.2457, 0.1282],\n", - " [0.4613, 0.1384, 0.1630, 0.0195, 0.0791, 0.0635, 0.3648, 0.0457, 0.0053,\n", - " 0.1800, 0.1222, 0.2262, 0.1084, 0.0793, 0.4604, 0.0562, 0.1016, 0.1237,\n", - " 0.3139, 0.0852],\n", - " [0.1203, 0.0898, 0.1292, 0.3301, 0.0279, 0.1961, 0.2364, 0.0792, 0.0783,\n", - " 0.1105, 0.3389, 0.1614, 0.1001, 0.3926, 0.0463, 0.1668, 0.1128, 0.2948,\n", - " 0.3520, 0.4009],\n", - " [0.0726, 0.0552, 0.0977, 0.0613, 0.0494, 0.0786, 0.1379, 0.3164, 0.1193,\n", - " 0.1130, 0.0306, 0.0178, 0.0236, 0.0285, 0.1384, 0.0634, 0.0573, 0.0603,\n", - " 0.2037, 0.0860],\n", - " [0.1710, 0.0350, 0.1071, 0.1801, 0.0326, 0.1042, 0.1345, 0.1127, 0.1023,\n", - " 0.2303, 0.0921, 0.0718, 0.0853, 0.1342, 0.3617, 0.0779, 0.0861, 0.1606,\n", - " 0.0635, 0.1693],\n", - " [0.1048, 0.3920, 0.0689, 0.0179, 0.1248, 0.3947, 0.0772, 0.0428, 0.1122,\n", - " 0.0697, 0.1140, 0.0819, 0.3131, 0.2081, 0.0982, 0.0603, 0.1034, 0.1883,\n", - " 0.1894, 0.3613],\n", - " [0.1564, 0.0739, 0.1650, 0.1178, 0.0204, 0.0933, 0.0655, 0.1338, 0.4460,\n", - " 0.0895, 0.0444, 0.0867, 0.2314, 0.0791, 0.1048, 0.1028, 0.2576, 0.0465,\n", - " 0.1021, 0.0804]])" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sample[0]['tile_catalog']['redshifts'].reshape((20,20))" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "bf89f189", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sample[0]['tile_catalog'].keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "78902234", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0],\n", - " [1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0],\n", - " [1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0],\n", - " [1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],\n", - " [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0],\n", - " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0]])" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sample[0]['tile_catalog']['n_sources']" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "01642136", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[[2.7401e-01, 4.5627e-01],\n", - " [4.9972e-01, 6.6532e-02],\n", - " [3.3090e-01, 1.4780e-01],\n", - " [2.6440e-01, 3.3328e-01],\n", - " [3.5633e-01, 2.5803e-01],\n", - " [8.0919e-01, 2.2501e-01],\n", - " [2.3993e-01, 7.8461e-01],\n", - " [6.0230e-01, 4.0145e-01],\n", - " [2.1070e-01, 8.4381e-01],\n", - " [4.8868e-02, 8.4039e-01],\n", - " [1.6567e-01, 6.2385e-01],\n", - " [7.2194e-01, 3.7000e-02],\n", - " [8.3192e-01, 7.5425e-01],\n", - " [5.9389e-01, 7.1751e-01],\n", - " [8.4443e-01, 7.9373e-01],\n", - " [6.3690e-01, 5.2127e-01],\n", - " [1.7617e-01, 6.8671e-01],\n", - " [9.4578e-01, 1.5026e-01],\n", - " [7.2395e-01, 2.0207e-01],\n", - " [9.4517e-01, 4.4714e-01]],\n", - "\n", - " [[3.6235e-02, 8.9580e-01],\n", - " [2.2602e-01, 5.9588e-01],\n", - " [6.5126e-01, 6.0207e-01],\n", - " [3.8109e-01, 5.6168e-01],\n", - " [5.3784e-01, 9.5656e-01],\n", - " [8.2840e-01, 1.9194e-01],\n", - " [3.0644e-01, 5.4637e-01],\n", - " [1.8946e-01, 2.7190e-01],\n", - " [8.7963e-02, 8.0192e-01],\n", - " [3.2874e-02, 9.2649e-01],\n", - " [8.1041e-01, 1.8544e-01],\n", - " [7.6110e-01, 5.2216e-01],\n", - " [8.7367e-02, 9.0857e-01],\n", - " [8.0397e-01, 1.6980e-01],\n", - " [6.3758e-02, 8.1062e-01],\n", - " [8.0911e-01, 5.5851e-01],\n", - " [1.0604e-01, 3.6292e-01],\n", - " [7.2521e-01, 9.2548e-01],\n", - " [3.7466e-01, 3.9013e-01],\n", - " [1.8890e-01, 2.2853e-01]],\n", - "\n", - " [[5.8816e-01, 1.3906e-01],\n", - " [5.6374e-01, 1.7519e-01],\n", - " [3.2242e-01, 1.0417e-01],\n", - " [7.0950e-01, 6.3146e-02],\n", - " [6.3180e-01, 5.2249e-01],\n", - " [6.3702e-01, 3.8915e-01],\n", - " [9.9065e-01, 2.0375e-01],\n", - " [8.0710e-02, 7.8175e-01],\n", - " [8.4178e-01, 5.3132e-01],\n", - " [1.3244e-01, 5.7511e-02],\n", - " [7.8582e-01, 1.1539e-01],\n", - " [4.8318e-01, 1.0007e-01],\n", - " [5.6609e-01, 7.1274e-01],\n", - " [3.8364e-01, 7.0490e-02],\n", - " [3.1837e-01, 9.2076e-01],\n", - " [2.9715e-01, 3.6908e-01],\n", - " [3.4447e-01, 1.6903e-01],\n", - " [1.4433e-01, 3.6483e-01],\n", - " [2.2961e-01, 2.0126e-01],\n", - " [3.4197e-01, 9.9985e-01]],\n", - "\n", - " [[5.5582e-01, 1.0928e-01],\n", - " [1.3659e-01, 4.2818e-02],\n", - " [7.3538e-01, 9.8429e-01],\n", - " [6.9236e-01, 2.3853e-01],\n", - " [7.4951e-01, 3.5034e-02],\n", - " [2.3315e-01, 3.6694e-01],\n", - " [3.2252e-01, 2.3682e-01],\n", - " [2.9937e-01, 7.1261e-01],\n", - " [1.1609e-03, 8.9797e-01],\n", - " [3.5689e-01, 4.4032e-01],\n", - " [8.5127e-01, 8.7133e-01],\n", - " [5.4498e-02, 2.5054e-01],\n", - " [6.0418e-01, 3.0610e-01],\n", - " [2.8285e-01, 8.1805e-01],\n", - " [2.2699e-01, 6.2490e-01],\n", - " [6.0086e-01, 9.0637e-02],\n", - " [7.2763e-01, 8.5446e-01],\n", - " [7.7736e-01, 6.6899e-01],\n", - " [5.6707e-02, 7.9663e-01],\n", - " [3.1722e-01, 4.5892e-01]],\n", - "\n", - " [[4.6115e-02, 3.6928e-01],\n", - " [7.4379e-01, 7.1286e-01],\n", - " [6.6239e-01, 7.4148e-01],\n", - " [6.2005e-01, 4.6659e-01],\n", - " [2.1438e-01, 6.0729e-01],\n", - " [8.8690e-01, 3.6805e-01],\n", - " [6.3246e-01, 1.1584e-02],\n", - " [1.7423e-01, 3.3386e-01],\n", - " [9.7374e-01, 7.7613e-03],\n", - " [8.6533e-01, 5.5644e-01],\n", - " [7.4740e-01, 4.9379e-01],\n", - " [5.8680e-01, 4.0190e-03],\n", - " [6.6550e-01, 1.5743e-01],\n", - " [7.1321e-01, 9.0492e-01],\n", - " [2.8134e-01, 5.8844e-01],\n", - " [4.8365e-01, 1.6469e-01],\n", - " [3.6863e-01, 5.1886e-01],\n", - " [4.0712e-01, 3.0759e-01],\n", - " [3.1311e-01, 3.2730e-01],\n", - " [4.3000e-01, 5.2406e-01]],\n", - "\n", - " [[6.5187e-01, 4.6079e-01],\n", - " [1.4684e-01, 8.0351e-01],\n", - " [7.5447e-01, 4.8312e-01],\n", - " [2.6434e-01, 1.2838e-01],\n", - " [3.6928e-01, 3.4961e-01],\n", - " [2.2430e-01, 6.6712e-01],\n", - " [6.4737e-01, 5.5343e-01],\n", - " [5.5168e-01, 9.8903e-02],\n", - " [2.1067e-01, 8.5513e-01],\n", - " [8.6014e-01, 4.7386e-01],\n", - " [2.3298e-01, 3.4013e-01],\n", - " [4.7342e-01, 4.6809e-01],\n", - " [7.8075e-01, 2.2523e-01],\n", - " [5.9761e-01, 5.1934e-01],\n", - " [9.6683e-01, 2.3146e-01],\n", - " [4.2049e-01, 9.1686e-01],\n", - " [6.5207e-01, 9.4841e-01],\n", - " [2.5536e-01, 5.5449e-01],\n", - " [9.4312e-02, 9.1659e-01],\n", - " [7.8080e-01, 6.5769e-01]],\n", - "\n", - " [[4.5386e-01, 1.1806e-01],\n", - " [7.8645e-01, 5.7997e-01],\n", - " [3.7361e-01, 2.1785e-01],\n", - " [7.3410e-01, 4.5298e-01],\n", - " [5.3424e-01, 2.4735e-01],\n", - " [2.4958e-01, 5.2270e-01],\n", - " [5.1427e-01, 2.1762e-01],\n", - " [7.4725e-01, 8.1790e-01],\n", - " [6.6894e-01, 9.2078e-02],\n", - " [3.1262e-01, 1.2209e-01],\n", - " [1.0301e-01, 7.1357e-01],\n", - " [4.7145e-01, 6.9384e-01],\n", - " [4.7321e-01, 5.3255e-02],\n", - " [7.7765e-01, 1.3800e-01],\n", - " [6.4865e-01, 2.3859e-01],\n", - " [5.7482e-01, 8.0696e-01],\n", - " [2.7929e-01, 3.1180e-01],\n", - " [1.7270e-02, 9.4020e-01],\n", - " [3.7535e-01, 4.9543e-01],\n", - " [1.4975e-01, 1.9521e-01]],\n", - "\n", - " [[5.2172e-01, 2.8933e-01],\n", - " [3.9752e-02, 7.4273e-02],\n", - " [8.1379e-01, 6.6436e-01],\n", - " [8.2950e-01, 2.2533e-01],\n", - " [5.8256e-01, 3.9839e-01],\n", - " [3.0298e-01, 9.4996e-01],\n", - " [6.6572e-01, 6.9477e-01],\n", - " [3.7663e-01, 4.5516e-01],\n", - " [7.7951e-01, 2.3980e-01],\n", - " [7.3800e-01, 7.6609e-01],\n", - " [5.5143e-01, 5.6521e-01],\n", - " [6.4149e-01, 6.9504e-01],\n", - " [1.8941e-01, 9.0741e-02],\n", - " [1.2845e-01, 8.1271e-01],\n", - " [1.6093e-01, 7.5620e-01],\n", - " [2.0471e-01, 1.4265e-01],\n", - " [5.9597e-01, 5.8604e-01],\n", - " [9.0192e-01, 2.9288e-01],\n", - " [8.3247e-01, 6.8333e-01],\n", - " [2.3395e-01, 8.4973e-01]],\n", - "\n", - " [[4.2078e-01, 9.7306e-01],\n", - " [8.0687e-01, 5.4592e-01],\n", - " [3.3517e-01, 8.5320e-01],\n", - " [1.8088e-02, 8.4317e-01],\n", - " [1.9950e-01, 3.0492e-01],\n", - " [9.8670e-01, 6.2237e-01],\n", - " [2.5204e-02, 6.3219e-01],\n", - " [6.9743e-01, 1.4396e-01],\n", - " [2.9678e-01, 1.7311e-01],\n", - " [3.1509e-01, 8.1169e-01],\n", - " [2.2314e-01, 5.8022e-01],\n", - " [7.5347e-01, 9.6071e-01],\n", - " [9.4964e-01, 2.9989e-01],\n", - " [2.9571e-01, 4.2576e-01],\n", - " [9.6221e-01, 9.3935e-01],\n", - " [2.2157e-01, 1.0070e-01],\n", - " [3.2796e-01, 9.2419e-01],\n", - " [1.8510e-01, 7.6955e-01],\n", - " [6.5050e-01, 8.0223e-01],\n", - " [9.3271e-02, 8.6264e-01]],\n", - "\n", - " [[7.2580e-01, 3.9320e-01],\n", - " [4.7195e-01, 4.8924e-01],\n", - " [6.2152e-01, 6.4775e-01],\n", - " [6.7221e-01, 5.0825e-01],\n", - " [8.1011e-01, 8.6161e-01],\n", - " [5.7780e-01, 1.4915e-01],\n", - " [6.2779e-02, 1.2136e-01],\n", - " [5.9881e-01, 5.4577e-01],\n", - " [9.5283e-01, 5.7709e-03],\n", - " [9.8038e-01, 9.7664e-02],\n", - " [9.6111e-02, 9.1127e-01],\n", - " [4.7399e-01, 9.3529e-02],\n", - " [8.9005e-01, 6.7801e-01],\n", - " [3.2858e-01, 9.8854e-02],\n", - " [6.0551e-01, 2.7249e-01],\n", - " [8.4785e-01, 7.4827e-01],\n", - " [1.6370e-01, 4.7471e-01],\n", - " [5.2456e-01, 1.2376e-01],\n", - " [2.3544e-01, 6.4828e-01],\n", - " [9.2904e-01, 5.8092e-01]],\n", - "\n", - " [[6.5391e-01, 8.6828e-01],\n", - " [1.7048e-01, 5.5058e-01],\n", - " [2.9042e-01, 9.1609e-01],\n", - " [9.6948e-01, 6.6963e-01],\n", - " [5.8836e-01, 1.9419e-01],\n", - " [9.7484e-01, 5.7334e-02],\n", - " [3.4205e-01, 7.5781e-01],\n", - " [3.4905e-01, 5.0712e-01],\n", - " [6.4147e-01, 7.8931e-01],\n", - " [4.0677e-01, 8.8019e-01],\n", - " [5.0357e-01, 1.5644e-01],\n", - " [4.5552e-01, 6.3118e-01],\n", - " [1.6550e-01, 9.0738e-01],\n", - " [7.3093e-01, 8.5270e-01],\n", - " [4.3461e-01, 1.4594e-01],\n", - " [2.0035e-01, 4.8395e-01],\n", - " [2.7774e-01, 9.8632e-01],\n", - " [4.0772e-01, 7.0827e-01],\n", - " [9.3022e-01, 5.8852e-01],\n", - " [2.9502e-01, 6.7990e-01]],\n", - "\n", - " [[9.5830e-01, 4.0752e-01],\n", - " [1.9177e-01, 7.4786e-01],\n", - " [9.5065e-01, 2.1352e-01],\n", - " [5.7462e-01, 4.2553e-02],\n", - " [6.7377e-01, 8.7372e-01],\n", - " [6.2309e-01, 1.0446e-01],\n", - " [4.8609e-01, 1.2099e-01],\n", - " [4.0227e-01, 2.9783e-01],\n", - " [5.1577e-03, 5.6119e-01],\n", - " [7.3917e-01, 4.9713e-01],\n", - " [3.5996e-01, 1.7271e-01],\n", - " [8.5421e-02, 4.7481e-01],\n", - " [6.4386e-01, 1.9460e-02],\n", - " [4.0080e-01, 4.9978e-01],\n", - " [3.6610e-01, 9.4703e-01],\n", - " [4.9680e-01, 2.1702e-01],\n", - " [9.7739e-01, 1.2894e-01],\n", - " [9.6524e-01, 6.2716e-01],\n", - " [1.0361e-01, 3.3173e-01],\n", - " [2.0503e-01, 2.2755e-01]],\n", - "\n", - " [[5.4948e-01, 4.7615e-01],\n", - " [6.5168e-01, 9.9132e-01],\n", - " [2.9586e-01, 6.0124e-01],\n", - " [5.0806e-01, 5.6385e-01],\n", - " [6.4140e-01, 5.9393e-01],\n", - " [8.6247e-01, 5.4913e-01],\n", - " [2.1918e-01, 1.7328e-03],\n", - " [1.9881e-01, 5.2215e-01],\n", - " [7.0659e-02, 3.4971e-01],\n", - " [1.4497e-01, 2.5074e-01],\n", - " [6.1890e-02, 2.5870e-01],\n", - " [3.6525e-01, 1.2612e-01],\n", - " [4.7460e-01, 1.0328e-01],\n", - " [2.2464e-01, 2.1927e-01],\n", - " [5.4410e-01, 1.8616e-01],\n", - " [8.6766e-01, 2.6443e-01],\n", - " [3.2471e-01, 8.4264e-01],\n", - " [3.4359e-02, 1.2464e-01],\n", - " [6.6914e-01, 9.3897e-01],\n", - " [1.4836e-01, 3.9156e-01]],\n", - "\n", - " [[9.5683e-01, 2.9482e-01],\n", - " [4.2175e-01, 5.3463e-01],\n", - " [6.6546e-01, 1.6366e-01],\n", - " [3.9521e-01, 9.6029e-01],\n", - " [8.4096e-01, 5.9967e-01],\n", - " [8.1851e-01, 3.3728e-01],\n", - " [5.7671e-01, 2.8349e-01],\n", - " [6.8634e-01, 1.1368e-02],\n", - " [9.9277e-01, 2.1642e-01],\n", - " [2.3962e-01, 6.8926e-01],\n", - " [4.6229e-01, 7.8227e-01],\n", - " [8.9353e-01, 8.2456e-01],\n", - " [5.2141e-01, 8.8578e-01],\n", - " [5.5631e-01, 2.8778e-01],\n", - " [8.9885e-01, 2.8218e-01],\n", - " [4.8553e-01, 5.8742e-01],\n", - " [9.6037e-01, 5.5643e-01],\n", - " [8.0762e-02, 4.5906e-01],\n", - " [5.0119e-02, 8.4837e-01],\n", - " [4.0002e-01, 3.6525e-01]],\n", - "\n", - " [[7.6833e-02, 6.3891e-01],\n", - " [7.6342e-01, 6.7882e-01],\n", - " [6.9665e-01, 8.8298e-01],\n", - " [4.9574e-01, 7.3724e-02],\n", - " [5.7071e-01, 7.8037e-01],\n", - " [7.7380e-01, 5.8106e-01],\n", - " [7.7318e-01, 9.0765e-01],\n", - " [8.1429e-01, 3.0920e-01],\n", - " [7.1073e-01, 5.5915e-01],\n", - " [6.2355e-01, 8.7714e-01],\n", - " [5.4072e-01, 4.2139e-01],\n", - " [5.8102e-01, 7.9184e-01],\n", - " [5.9048e-01, 2.5863e-01],\n", - " [6.5871e-01, 2.2506e-01],\n", - " [8.7966e-01, 6.0984e-01],\n", - " [7.9912e-01, 9.1812e-01],\n", - " [9.8061e-01, 6.0502e-01],\n", - " [7.9609e-01, 1.5273e-01],\n", - " [3.9665e-01, 8.8034e-02],\n", - " [7.5520e-01, 4.3929e-01]],\n", - "\n", - " [[2.8613e-03, 2.5466e-01],\n", - " [9.4361e-01, 6.1108e-01],\n", - " [9.0446e-01, 1.7752e-01],\n", - " [7.7860e-01, 8.6404e-01],\n", - " [1.6240e-01, 8.7179e-01],\n", - " [1.5657e-01, 1.6153e-02],\n", - " [8.5648e-01, 9.7751e-02],\n", - " [8.8624e-01, 6.1007e-01],\n", - " [1.4567e-01, 1.5967e-01],\n", - " [8.9985e-01, 2.9589e-01],\n", - " [5.6356e-01, 4.3226e-01],\n", - " [8.7165e-01, 8.6122e-01],\n", - " [1.2717e-01, 8.3405e-01],\n", - " [3.9254e-02, 1.6479e-01],\n", - " [7.0073e-01, 1.7714e-01],\n", - " [7.7803e-01, 3.3256e-01],\n", - " [9.8366e-01, 5.0576e-01],\n", - " [1.6904e-01, 8.3812e-01],\n", - " [9.9252e-01, 4.5991e-01],\n", - " [1.8177e-01, 2.3438e-02]],\n", - "\n", - " [[6.3886e-01, 7.0946e-01],\n", - " [4.7922e-02, 3.1907e-01],\n", - " [3.6498e-01, 1.7323e-01],\n", - " [7.9573e-01, 3.8554e-01],\n", - " [5.0192e-01, 8.0859e-02],\n", - " [6.1663e-02, 4.8716e-01],\n", - " [6.1665e-01, 7.6693e-01],\n", - " [5.2436e-01, 7.6490e-01],\n", - " [1.0043e-01, 8.2168e-01],\n", - " [5.3044e-01, 2.9469e-02],\n", - " [6.0360e-01, 9.7705e-01],\n", - " [5.6234e-01, 5.6747e-01],\n", - " [6.8196e-01, 9.2456e-03],\n", - " [2.1700e-01, 1.0407e-01],\n", - " [2.7577e-01, 8.7518e-01],\n", - " [3.1281e-01, 8.0501e-01],\n", - " [5.0961e-01, 8.1921e-01],\n", - " [6.8250e-01, 4.5177e-01],\n", - " [6.1936e-01, 2.4040e-01],\n", - " [8.3493e-01, 4.1102e-01]],\n", - "\n", - " [[8.4779e-01, 8.1340e-01],\n", - " [8.2001e-01, 6.1977e-02],\n", - " [3.7242e-01, 1.0446e-01],\n", - " [1.5668e-01, 2.9482e-01],\n", - " [4.2626e-01, 2.6993e-01],\n", - " [3.5771e-01, 1.3995e-01],\n", - " [3.9464e-01, 9.9469e-02],\n", - " [8.5366e-01, 6.3703e-01],\n", - " [9.4746e-03, 8.0593e-02],\n", - " [5.5610e-01, 3.3766e-01],\n", - " [5.9661e-01, 8.6780e-01],\n", - " [9.8710e-01, 4.3953e-01],\n", - " [6.0695e-01, 4.0527e-01],\n", - " [5.7668e-01, 4.3200e-01],\n", - " [4.1773e-01, 4.5245e-01],\n", - " [7.9786e-01, 5.0474e-01],\n", - " [1.4411e-01, 1.4820e-01],\n", - " [7.8009e-01, 8.5613e-01],\n", - " [6.4973e-01, 6.3633e-02],\n", - " [1.9719e-01, 6.3398e-01]],\n", - "\n", - " [[6.2930e-01, 7.4707e-02],\n", - " [7.9811e-01, 4.7562e-01],\n", - " [9.1542e-02, 4.4186e-01],\n", - " [2.2382e-02, 5.7825e-01],\n", - " [9.1794e-01, 6.5756e-01],\n", - " [2.2702e-01, 6.2038e-01],\n", - " [7.0470e-01, 7.6148e-01],\n", - " [6.2629e-01, 4.4510e-01],\n", - " [2.2906e-01, 2.3392e-01],\n", - " [8.1635e-01, 2.6745e-04],\n", - " [6.0804e-01, 6.2654e-01],\n", - " [9.6538e-01, 2.7532e-01],\n", - " [2.5314e-01, 4.6766e-01],\n", - " [4.3116e-01, 4.7425e-01],\n", - " [5.5444e-01, 3.0829e-01],\n", - " [1.9944e-01, 5.2352e-01],\n", - " [9.7808e-01, 3.4719e-01],\n", - " [8.0171e-01, 7.6197e-01],\n", - " [8.3619e-01, 6.5704e-01],\n", - " [4.0962e-01, 5.8068e-01]],\n", - "\n", - " [[4.5014e-01, 7.3318e-01],\n", - " [7.9176e-01, 6.7069e-02],\n", - " [4.5254e-01, 8.7565e-01],\n", - " [7.4388e-01, 7.7005e-01],\n", - " [9.4230e-01, 5.1232e-01],\n", - " [8.7028e-01, 2.3464e-02],\n", - " [4.0940e-01, 7.8347e-01],\n", - " [2.0379e-01, 4.3769e-01],\n", - " [6.8930e-01, 9.6152e-01],\n", - " [6.7929e-01, 9.2723e-02],\n", - " [4.3327e-01, 7.6545e-01],\n", - " [4.5407e-01, 2.1335e-01],\n", - " [2.9362e-01, 4.4425e-01],\n", - " [1.8856e-01, 5.8941e-01],\n", - " [9.7709e-01, 9.9070e-01],\n", - " [4.7245e-01, 5.6658e-01],\n", - " [2.7927e-01, 6.8328e-01],\n", - " [1.1336e-01, 1.0444e-01],\n", - " [1.1791e-02, 9.6338e-01],\n", - " [4.3338e-01, 6.6359e-01]]])" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sample[0]['tile_catalog']['locs'].reshape((20,20,2))" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "17a33174", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[[1.1298e+00, 2.2163e-01, 6.6308e-01, 5.5859e-01, 5.8898e-01],\n", - " [1.7438e+00, 1.1315e-01, 7.4472e-01, 8.8525e-01, 1.1592e+00],\n", - " [1.6390e+02, 1.0373e+01, 2.1870e+01, 6.5777e+01, 3.1681e+02],\n", - " ...,\n", - " [7.2219e-01, 4.5709e-02, 7.2219e-01, 7.1422e-01, 3.1571e+00],\n", - " [1.6233e+01, 1.6047e+00, 1.1869e+01, 1.2480e+01, 4.0222e+01],\n", - " [1.7914e+00, 1.7872e-01, 1.3451e+00, 4.0250e-01, 2.2587e-01]],\n", - "\n", - " [[2.6617e+00, 2.8251e-01, 1.2244e+00, 1.8591e+00, 1.0407e+00],\n", - " [1.7101e+00, 1.3132e-01, 9.1228e-01, 8.6481e-01, 1.5579e+00],\n", - " [1.2953e+00, 5.4607e-01, 9.7123e-01, 1.2382e+00, 3.3365e+00],\n", - " ...,\n", - " [3.4041e+02, 2.1545e+01, 1.2847e+02, 2.7445e+02, 3.5158e+02],\n", - " [9.3348e-01, 2.6302e-01, 2.5376e+00, 9.2201e-01, 2.3589e+00],\n", - " [4.8252e+01, 1.8164e+01, 6.3793e+01, 3.1326e+01, 7.2289e+01]],\n", - "\n", - " [[6.1292e-01, 1.1947e-01, 1.5629e+00, 1.8419e+00, 1.3271e+01],\n", - " [2.0084e+00, 1.8873e-01, 1.3522e+00, 1.5190e+00, 2.5169e+00],\n", - " [7.6822e-01, 9.3658e-02, 1.4798e+00, 3.9564e-01, 1.0990e+00],\n", - " ...,\n", - " [4.2765e+01, 7.3467e+00, 1.7704e+01, 5.1515e+01, 1.1825e+02],\n", - " [2.1192e+01, 1.0054e+01, 3.0983e+01, 3.8574e+01, 4.2232e+01],\n", - " [1.0311e+01, 1.2585e+00, 1.0341e+01, 3.2843e+00, 1.1519e+01]],\n", - "\n", - " ...,\n", - "\n", - " [[1.0063e+01, 7.7541e+00, 2.0262e+01, 1.7516e+01, 4.2440e+01],\n", - " [2.8227e-01, 4.1840e-01, 1.1195e+00, 1.7367e+00, 4.0264e+00],\n", - " [1.7507e-01, 3.0578e-01, 6.4038e-01, 8.2461e-01, 1.0946e+00],\n", - " ...,\n", - " [8.2276e+00, 5.8415e+00, 1.4209e+01, 1.3577e+01, 2.8473e+01],\n", - " [2.4793e+01, 3.4481e+01, 6.5080e+01, 1.4011e+02, 3.1841e+02],\n", - " [1.0233e+01, 6.9885e+00, 1.9862e+01, 1.8498e+01, 3.3197e+01]],\n", - "\n", - " [[1.8000e+00, 1.0816e+00, 1.6778e+00, 3.0051e+00, 5.5488e+00],\n", - " [4.1828e+00, 3.0856e+00, 1.0888e+01, 1.0544e+01, 2.3196e+01],\n", - " [2.4059e-01, 3.3308e-01, 8.2088e-01, 1.1795e+00, 1.4407e+00],\n", - " ...,\n", - " [4.5130e-01, 3.6076e-01, 9.0894e-01, 8.9876e-01, 2.3088e+00],\n", - " [2.8923e+00, 3.3831e+00, 6.6907e+00, 9.5739e+00, 1.8402e+01],\n", - " [1.4130e+02, 1.7577e+02, 3.1055e+02, 4.0547e+02, 8.1786e+02]],\n", - "\n", - " [[4.3995e-01, 6.6125e-01, 1.4651e+00, 2.8217e+00, 1.0984e+01],\n", - " [4.3279e-01, 8.5961e-01, 1.8924e+00, 1.4492e+00, 3.7109e+00],\n", - " [1.8739e+00, 2.9716e+00, 5.6479e+00, 7.8127e+00, 9.6096e+00],\n", - " ...,\n", - " [7.7239e-01, 1.5697e+00, 2.3019e+00, 4.1082e+00, 6.6206e+00],\n", - " [7.4362e-01, 1.3693e+00, 1.4790e+00, 3.3565e+00, 3.6091e+00],\n", - " [2.3611e+00, 1.2378e+00, 1.5712e+00, 2.3423e+00, 3.8803e+00]]])" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sample[0]['tile_catalog']['galaxy_fluxes'].reshape((20,20,5))" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "2134d35e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.]])" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sample[0]['tile_catalog']['source_type'].reshape((20,20))" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "id": "0b5d14ac", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[0.0705, 0.0391, 0.0985, 0.1774, 0.1675, 0.1829, 0.0744, 0.1030, 0.1124,\n", - " 0.2197, 0.0889, 0.1229, 0.0141, 0.1045, 0.0773, 0.1257, 0.0958, 0.1503,\n", - " 0.3914, 0.0794],\n", - " [0.1799, 0.0513, 0.1556, 0.1602, 0.0709, 0.0832, 0.1083, 0.3238, 0.1526,\n", - " 0.0461, 0.4598, 0.1474, 0.0228, 0.3597, 0.0565, 0.0773, 0.0939, 0.0941,\n", - " 0.0645, 0.1128],\n", - " [0.0833, 0.1700, 0.0694, 0.0257, 0.0899, 0.1072, 0.1642, 0.1271, 0.1451,\n", - " 0.0382, 0.1153, 0.0730, 0.0977, 0.5163, 0.4440, 0.2259, 0.1070, 0.4106,\n", - " 0.1061, 0.1030],\n", - " [0.0821, 0.0890, 0.0641, 0.2684, 0.1863, 0.1360, 0.1412, 0.0730, 0.1316,\n", - " 0.1445, 0.1707, 0.1218, 0.0522, 0.1667, 0.0769, 0.1654, 0.3007, 0.1586,\n", - " 0.2861, 0.1675],\n", - " [0.0919, 0.1494, 0.0721, 0.0656, 0.1195, 0.1707, 0.1355, 0.0922, 0.0617,\n", - " 0.2679, 0.4799, 0.0698, 0.4863, 0.0733, 0.1807, 0.1450, 0.0481, 0.0802,\n", - " 0.1774, 0.1101],\n", - " [0.1767, 0.0697, 0.0965, 0.0914, 0.1498, 0.2377, 0.3655, 0.3198, 0.0754,\n", - " 0.1088, 0.1360, 0.2907, 0.3115, 0.2073, 0.0348, 0.0751, 0.1110, 0.0259,\n", - " 0.1493, 0.2077],\n", - " [0.1958, 0.2033, 0.1536, 0.2766, 0.0710, 0.1290, 0.0283, 0.0880, 0.4240,\n", - " 0.2301, 0.0440, 0.1024, 0.0291, 0.0697, 0.1504, 0.1654, 0.1776, 0.4361,\n", - " 0.3734, 0.0198],\n", - " [0.1183, 0.1691, 0.0383, 0.1731, 0.4506, 0.0843, 0.3961, 0.0428, 0.0450,\n", - " 0.1302, 0.0028, 0.0784, 0.0595, 0.0800, 0.0468, 0.0763, 0.4144, 0.0488,\n", - " 0.0618, 0.0269],\n", - " [0.1204, 0.1174, 0.0465, 0.0639, 0.1623, 0.5311, 0.4519, 0.0257, 0.2289,\n", - " 0.1427, 0.3096, 0.3362, 0.3536, 0.2031, 0.1451, 0.0937, 0.0572, 0.0643,\n", - " 0.1403, 0.0832],\n", - " [0.0632, 0.1715, 0.1232, 0.1292, 0.0462, 0.0184, 0.0529, 0.3263, 0.2616,\n", - " 0.0830, 0.1870, 0.1291, 0.1156, 0.0610, 0.1147, 0.0886, 0.0546, 0.0618,\n", - " 0.0755, 0.1586],\n", - " [0.1025, 0.4307, 0.1271, 0.1330, 0.0455, 0.1737, 0.0334, 0.0818, 0.1584,\n", - " 0.1127, 0.2761, 0.1283, 0.0597, 0.3862, 0.2184, 0.1348, 0.3711, 0.0766,\n", - " 0.0741, 0.5930],\n", - " [0.0710, 0.3988, 0.0748, 0.1746, 0.1314, 0.3545, 0.2149, 0.1620, 0.1157,\n", - " 0.2261, 0.0821, 0.0735, 0.1998, 0.4458, 0.0614, 0.0997, 0.0165, 0.3398,\n", - " 0.0661, 0.0139],\n", - " [0.1661, 0.3533, 0.2637, 0.1045, 0.0597, 0.0934, 0.1402, 0.0667, 0.0809,\n", - " 0.1340, 0.0848, 0.1788, 0.0893, 0.1599, 0.1351, 0.0769, 0.1268, 0.0783,\n", - " 0.1153, 0.4685],\n", - " [0.3154, 0.0170, 0.0792, 0.2387, 0.0939, 0.1137, 0.1516, 0.1588, 0.1481,\n", - " 0.1621, 0.0890, 0.0699, 0.0043, 0.2154, 0.0198, 0.1399, 0.1275, 0.0612,\n", - " 0.0951, 0.2211],\n", - " [0.1100, 0.0357, 0.0645, 0.0507, 0.0560, 0.0270, 0.0491, 0.1283, 0.1378,\n", - " 0.3320, 0.1169, 0.1606, 0.1508, 0.1369, 0.0864, 0.0717, 0.6476, 0.1009,\n", - " 0.0275, 0.0833],\n", - " [0.0491, 0.1261, 0.0249, 0.1047, 0.0291, 0.0424, 0.0761, 0.0906, 0.0679,\n", - " 0.1532, 0.0412, 0.4075, 0.2114, 0.0914, 0.1013, 0.1406, 0.2754, 0.0916,\n", - " 0.2888, 0.1400],\n", - " [0.0995, 0.1726, 0.1069, 0.3474, 0.1189, 0.3810, 0.1886, 0.2197, 0.1209,\n", - " 0.1468, 0.1366, 0.0333, 0.3024, 0.0908, 0.0915, 0.1559, 0.0753, 0.1015,\n", - " 0.0395, 0.0386],\n", - " [0.1616, 0.0811, 0.0568, 0.1368, 0.1472, 0.2158, 0.1338, 0.1540, 0.3219,\n", - " 0.4938, 0.0969, 0.3365, 0.1079, 0.0365, 0.1885, 0.2283, 0.1519, 0.0987,\n", - " 0.0834, 0.1409],\n", - " [0.3236, 0.1372, 0.2676, 0.1871, 0.1269, 0.1038, 0.1407, 0.4285, 0.0812,\n", - " 0.0765, 0.0635, 0.1473, 0.1698, 0.1727, 0.3984, 0.0527, 0.0890, 0.0399,\n", - " 0.0277, 0.0864],\n", - " [0.1789, 0.1670, 0.2067, 0.0950, 0.0520, 0.1255, 0.1045, 0.0225, 0.1758,\n", - " 0.1109, 0.1200, 0.0876, 0.1444, 0.0946, 0.1153, 0.3219, 0.0899, 0.1101,\n", - " 0.1549, 0.1496]])" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sample[5]['tile_catalog']['redshifts'].reshape((20,20))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9aaa5629", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/other/playground.ipynb b/case_studies/redshift_estimation/notebooks/other/playground.ipynb deleted file mode 100644 index b9c4a25b6..000000000 --- a/case_studies/redshift_estimation/notebooks/other/playground.ipynb +++ /dev/null @@ -1,2010 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "8d019302", - "metadata": {}, - "source": [ - "### Generating images from RedshiftTileCatalog, working with VariationalDist and VariationalDistSpec Objects" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2fd4a829", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os\n", - "\n", - "os.getcwd()\n", - "\n", - "os.chdir('/home/declan/current/bliss')\n", - "\n", - "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", - "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", - "import torch\n", - "import numpy as np\n", - "from os import environ\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from hydra.utils import instantiate\n", - "import matplotlib.pyplot as plt\n", - "from omegaconf import DictConfig, OmegaConf\n", - "from bliss.catalog import TileCatalog\n", - "\n", - "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", - "with initialize(config_path=\".\", version_base=None):\n", - " cfg = compose(\"redshift\", overrides={\"surveys.sdss.load_image_data=true\"})\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8290b4e3", - "metadata": {}, - "outputs": [], - "source": [ - "simulator = instantiate(cfg.simulator)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dbb48659", - "metadata": {}, - "outputs": [], - "source": [ - "type(simulator)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3d066f48", - "metadata": {}, - "outputs": [], - "source": [ - "prior = simulator.catalog_prior" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0b70b191", - "metadata": {}, - "outputs": [], - "source": [ - "prior" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3263c59e", - "metadata": {}, - "outputs": [], - "source": [ - "yo = simulator.catalog_prior.sample()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d1a8daf6", - "metadata": {}, - "outputs": [], - "source": [ - "yo" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "598cbec4", - "metadata": {}, - "outputs": [], - "source": [ - "vars(yo).keys()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6bf003a7", - "metadata": {}, - "outputs": [], - "source": [ - "yo['data'].keys()" - ] - }, - { - "cell_type": "markdown", - "id": "19269d4f", - "metadata": {}, - "source": [ - "Let's try to generate actual data using a RedshiftTileCatalog. All we have to do (for now) is plug in to the existing infrastructure and ignore `RedshiftTileCatalog.redshifts`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7986d28d", - "metadata": {}, - "outputs": [], - "source": [ - "cfg.generate" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "08f7ef6a", - "metadata": {}, - "outputs": [], - "source": [ - "cfg.paths.data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d8c9dd9e", - "metadata": {}, - "outputs": [], - "source": [ - "simulated_dataset = instantiate(cfg.simulator, num_workers=0)\n", - "test_batch = simulated_dataset.get_batch()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d74a6155", - "metadata": {}, - "outputs": [], - "source": [ - "test_batch.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e8422793", - "metadata": {}, - "outputs": [], - "source": [ - "test_batch['tile_catalog'].keys()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "499158f2", - "metadata": {}, - "outputs": [], - "source": [ - "test_batch['tile_catalog']['redshifts'].shape" - ] - }, - { - "cell_type": "markdown", - "id": "c56b2588", - "metadata": {}, - "source": [ - "### TODO: Change shape of redshifts (what should they be)?\n", - "### TODO: Make redshifts an attribute of RedshiftTileCatalog (currently hidden in .data)" - ] - }, - { - "cell_type": "markdown", - "id": "25658787", - "metadata": {}, - "source": [ - "# Playing Around With VarDist and VarDistSpec" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "774b89df", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os\n", - "\n", - "os.getcwd()\n", - "\n", - "os.chdir('/home/declan/current/bliss')\n", - "\n", - "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", - "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", - "import torch\n", - "import numpy as np\n", - "from os import environ\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from hydra.utils import instantiate\n", - "import matplotlib.pyplot as plt\n", - "from omegaconf import DictConfig, OmegaConf\n", - "from bliss.catalog import TileCatalog\n", - "\n", - "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", - "with initialize(config_path=\".\", version_base=None):\n", - " cfg = compose(\"non_redshift\", overrides={\"surveys.sdss.load_image_data=true\"})" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "bf56d51c", - "metadata": {}, - "outputs": [], - "source": [ - "simulator = instantiate(cfg.simulator)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "bfab1c97", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "bliss.simulator.simulated_dataset.SimulatedDataset" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(simulator)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "2a5a1990", - "metadata": {}, - "outputs": [], - "source": [ - "test_batch = simulator.get_batch()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "83c9732a", - "metadata": {}, - "outputs": [], - "source": [ - "from bliss.encoder.variational_dist import VariationalDist, VariationalDistSpec" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "4ebb326b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['tile_catalog', 'images', 'background', 'deconvolution', 'psf_params'])" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_batch.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "60721a64", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes'])" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_batch['tile_catalog'].keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "ad66f860", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 5, 80, 80])" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_batch['images'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "d1893a3a", - "metadata": {}, - "outputs": [], - "source": [ - "vds = VariationalDistSpec(cfg.prior.survey_bands, cfg.prior.tile_slen)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "2da91014", - "metadata": {}, - "outputs": [ - { - "ename": "RuntimeError", - "evalue": "split_with_sizes expects split_sizes to sum exactly to 80 (input tensor's size at dimension 3), but got split_sizes=[1, 4, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[13], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m vd \u001b[38;5;241m=\u001b[39m \u001b[43mvds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmake_dist\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtest_batch\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mimages\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/current/bliss/bliss/encoder/variational_dist.py:55\u001b[0m, in \u001b[0;36mVariationalDistSpec.make_dist\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 52\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmake_dist\u001b[39m(\u001b[38;5;28mself\u001b[39m, x_cat):\n\u001b[1;32m 53\u001b[0m \u001b[38;5;66;03m# override this method to instantiate a subclass of VariationalGrid, e.g.,\u001b[39;00m\n\u001b[1;32m 54\u001b[0m \u001b[38;5;66;03m# one with additional distribution parameter groups\u001b[39;00m\n\u001b[0;32m---> 55\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_parse_factors\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m VariationalDist(factors, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msurvey_bands, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtile_slen)\n", - "File \u001b[0;32m~/current/bliss/bliss/encoder/variational_dist.py:43\u001b[0m, in \u001b[0;36mVariationalDistSpec._parse_factors\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 41\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_parse_factors\u001b[39m(\u001b[38;5;28mself\u001b[39m, x_cat):\n\u001b[1;32m 42\u001b[0m split_sizes \u001b[38;5;241m=\u001b[39m [v\u001b[38;5;241m.\u001b[39mdim \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfactor_specs\u001b[38;5;241m.\u001b[39mvalues()]\n\u001b[0;32m---> 43\u001b[0m dist_params_split \u001b[38;5;241m=\u001b[39m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msplit_sizes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 44\u001b[0m names \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfactor_specs\u001b[38;5;241m.\u001b[39mkeys()\n\u001b[1;32m 45\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\u001b[38;5;28mzip\u001b[39m(names, dist_params_split))\n", - "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/functional.py:189\u001b[0m, in \u001b[0;36msplit\u001b[0;34m(tensor, split_size_or_sections, dim)\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m handle_torch_function(\n\u001b[1;32m 184\u001b[0m split, (tensor,), tensor, split_size_or_sections, dim\u001b[38;5;241m=\u001b[39mdim)\n\u001b[1;32m 185\u001b[0m \u001b[38;5;66;03m# Overwriting reason:\u001b[39;00m\n\u001b[1;32m 186\u001b[0m \u001b[38;5;66;03m# This dispatches to two ATen functions depending on the type of\u001b[39;00m\n\u001b[1;32m 187\u001b[0m \u001b[38;5;66;03m# split_size_or_sections. The branching code is in _tensor.py, which we\u001b[39;00m\n\u001b[1;32m 188\u001b[0m \u001b[38;5;66;03m# call here.\u001b[39;00m\n\u001b[0;32m--> 189\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtensor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43msplit_size_or_sections\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/_tensor.py:803\u001b[0m, in \u001b[0;36mTensor.split\u001b[0;34m(self, split_size, dim)\u001b[0m\n\u001b[1;32m 801\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m torch\u001b[38;5;241m.\u001b[39m_VF\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;28mself\u001b[39m, split_size, dim) \u001b[38;5;66;03m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[1;32m 802\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 803\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_VF\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit_with_sizes\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msplit_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[0;31mRuntimeError\u001b[0m: split_with_sizes expects split_sizes to sum exactly to 80 (input tensor's size at dimension 3), but got split_sizes=[1, 4, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]" - ] - } - ], - "source": [ - "vd = vds.make_dist(test_batch['images'])" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "3c5f375b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 5, 80, 80])" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_batch['images'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "133ecb30", - "metadata": {}, - "outputs": [], - "source": [ - "split_sizes = [v.dim for v in vds.factor_specs.values()]" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "6ff7af6f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[1, 4, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "split_sizes" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "51532ddd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "38" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sum(split_sizes)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "bc8de153", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Encoder(\n", - " (metrics): CatalogMetrics()\n", - " (image_normalizer): ImageNormalizer()\n", - " (features_net): FeaturesNet(\n", - " (preprocess3d): Sequential(\n", - " (0): Conv3d(5, 64, kernel_size=(6, 5, 5), stride=(1, 1, 1), padding=(0, 2, 2))\n", - " (1): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", - " (2): SiLU()\n", - " )\n", - " (backbone): Sequential(\n", - " (0): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (1): Sequential(\n", - " (0): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (3): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): ConvBlock(\n", - " (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (3): Sequential(\n", - " (0): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (3): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (4): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (4): ConvBlock(\n", - " (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " (marginal_net): CatalogNet(\n", - " (net_ml): ModuleList(\n", - " (0): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (3): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (4): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (5): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (3): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (4): Upsample(scale_factor=2.0, mode='nearest')\n", - " (5): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (6): Detect(\n", - " (conv): Conv2d(256, 38, kernel_size=(1, 1), stride=(1, 1))\n", - " )\n", - " )\n", - " )\n", - " (checkerboard_net): ContextNet(\n", - " (encode_context): Sequential(\n", - " (0): ConvBlock(\n", - " (conv): Conv2d(2, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (merge): ConvBlock(\n", - " (conv): Conv2d(320, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (catalog_net): CatalogNet(\n", - " (net_ml): ModuleList(\n", - " (0): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (3): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (4): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (5): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (3): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (4): Upsample(scale_factor=2.0, mode='nearest')\n", - " (5): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (6): Detect(\n", - " (conv): Conv2d(256, 38, kernel_size=(1, 1), stride=(1, 1))\n", - " )\n", - " )\n", - " )\n", - " )\n", - ")" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "encoder = instantiate(cfg.train.encoder)\n", - "encoder" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "80da4929", - "metadata": {}, - "outputs": [], - "source": [ - "target_cat = TileCatalog(encoder.tile_slen, test_batch[\"tile_catalog\"])" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "13ac25e6", - "metadata": {}, - "outputs": [], - "source": [ - "# filter out undetectable sources\n", - "if encoder.min_flux_threshold > 0:\n", - " target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - " \n", - "# make predictions/inferences\n", - "target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)\n", - "truth_callback = lambda _: target_cat1\n", - "pred = encoder.infer(test_batch, truth_callback)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "b6ada63e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['marginal', 'white', 'black', 'history_cat', 'x_features', 'white_history_mask'])" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "a1c6b505", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 256, 20, 20])" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred['x_features'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "8a2b096f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "TileCatalog(64 x 20 x 20)" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred['history_cat']" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "6ec78fe6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 20, 20, 1, 2])" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_batch['tile_catalog']['locs'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "5be791fb", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'on_prob': Categorical(probs: torch.Size([64, 20, 20, 2])),\n", - " 'loc': TruncatedDiagonalMVN(Normal(loc: torch.Size([64, 20, 20, 2]), scale: torch.Size([64, 20, 20, 2]))),\n", - " 'galaxy_prob': Categorical(probs: torch.Size([64, 20, 20, 2])),\n", - " 'galsim_disk_frac': TransformedDistribution(),\n", - " 'galsim_beta_radians': TransformedDistribution(),\n", - " 'galsim_disk_q': TransformedDistribution(),\n", - " 'galsim_a_d': LogNormal(),\n", - " 'galsim_bulge_q': TransformedDistribution(),\n", - " 'galsim_a_b': LogNormal(),\n", - " 'star_flux_u': LogNormal(),\n", - " 'star_flux_g': LogNormal(),\n", - " 'star_flux_r': LogNormal(),\n", - " 'star_flux_i': LogNormal(),\n", - " 'star_flux_z': LogNormal(),\n", - " 'galaxy_flux_u': LogNormal(),\n", - " 'galaxy_flux_g': LogNormal(),\n", - " 'galaxy_flux_r': LogNormal(),\n", - " 'galaxy_flux_i': LogNormal(),\n", - " 'galaxy_flux_z': LogNormal()}" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred['marginal'].pred" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "def4c418", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "LogNormal()" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred['marginal'].pred['galaxy_flux_z']" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "id": "4eab7f01", - "metadata": {}, - "outputs": [], - "source": [ - "yo = pred['marginal'].pred['on_prob']" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "id": "fe856ec8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['probs', '_param', '_num_events', '_batch_shape', '_event_shape'])" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vars(yo).keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "id": "277acc0a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 20, 20])" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "yo.batch_shape" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "id": "f0485ccd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([])" - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "yo.event_shape" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "id": "931bf62c", - "metadata": {}, - "outputs": [], - "source": [ - "x_features = encoder.get_features(test_batch)" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "id": "d77b3cd8", - "metadata": {}, - "outputs": [], - "source": [ - "x_cat_marginal = encoder.marginal_net(x_features)" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "id": "ebbd8a3b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 20, 20, 38])" - ] - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x_cat_marginal.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "id": "71128c6f", - "metadata": {}, - "outputs": [], - "source": [ - "vd = vds.make_dist(x_cat_marginal)" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "id": "3202d682", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "VariationalDist()" - ] - }, - "execution_count": 66, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vd" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b5fc4e39", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8e424e88", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "35c47898", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a37c73b4", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "8f57c397", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'transforms': [ExpTransform()],\n", - " 'base_dist': Normal(loc: torch.Size([64, 20, 20]), scale: torch.Size([64, 20, 20])),\n", - " '_batch_shape': torch.Size([64, 20, 20]),\n", - " '_event_shape': torch.Size([]),\n", - " '_validate_args': False}" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vars(pred['marginal'].pred['galaxy_flux_z'])" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "id": "c4b87c8d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred['marginal'].pred['loc'].base_dist._event_shape[0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7d41f5fc", - "metadata": {}, - "outputs": [], - "source": [ - "pred['marginal'].pred['galsim_a" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "id": "38c07779", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([])" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred['marginal'].pred['galsim_a_d'].base_dist._event_shape" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "id": "ce5b3429", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "on_prob\n", - "1\n", - "loc\n", - "2\n", - "galaxy_prob\n", - "1\n", - "galsim_disk_frac\n", - "1\n", - "galsim_beta_radians\n", - "1\n", - "galsim_disk_q\n", - "1\n", - "galsim_a_d\n", - "1\n", - "galsim_bulge_q\n", - "1\n", - "galsim_a_b\n", - "1\n", - "star_flux_u\n", - "1\n", - "star_flux_g\n", - "1\n", - "star_flux_r\n", - "1\n", - "star_flux_i\n", - "1\n", - "star_flux_z\n", - "1\n", - "galaxy_flux_u\n", - "1\n", - "galaxy_flux_g\n", - "1\n", - "galaxy_flux_r\n", - "1\n", - "galaxy_flux_i\n", - "1\n", - "galaxy_flux_z\n", - "1\n" - ] - } - ], - "source": [ - "total = 0\n", - "for key, value in pred['marginal'].pred.items():\n", - " print(key)\n", - " try:\n", - " dim = pred['marginal'].pred[key].base_dist._event_shape[-1]\n", - " except:\n", - " dim = 1\n", - " total += dim\n", - " print(dim)\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "id": "92512c75", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "20" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "total" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b3f1471", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "6e0637b9", - "metadata": {}, - "outputs": [ - { - "ename": "RuntimeError", - "evalue": "split_with_sizes expects split_sizes to sum exactly to 20 (input tensor's size at dimension 3), but got split_sizes=[1, 4, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[31], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m vd \u001b[38;5;241m=\u001b[39m \u001b[43mvds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmake_dist\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpred\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mx_features\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/current/bliss/bliss/encoder/variational_dist.py:55\u001b[0m, in \u001b[0;36mVariationalDistSpec.make_dist\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 52\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmake_dist\u001b[39m(\u001b[38;5;28mself\u001b[39m, x_cat):\n\u001b[1;32m 53\u001b[0m \u001b[38;5;66;03m# override this method to instantiate a subclass of VariationalGrid, e.g.,\u001b[39;00m\n\u001b[1;32m 54\u001b[0m \u001b[38;5;66;03m# one with additional distribution parameter groups\u001b[39;00m\n\u001b[0;32m---> 55\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_parse_factors\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m VariationalDist(factors, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msurvey_bands, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtile_slen)\n", - "File \u001b[0;32m~/current/bliss/bliss/encoder/variational_dist.py:43\u001b[0m, in \u001b[0;36mVariationalDistSpec._parse_factors\u001b[0;34m(self, x_cat)\u001b[0m\n\u001b[1;32m 41\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_parse_factors\u001b[39m(\u001b[38;5;28mself\u001b[39m, x_cat):\n\u001b[1;32m 42\u001b[0m split_sizes \u001b[38;5;241m=\u001b[39m [v\u001b[38;5;241m.\u001b[39mdim \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfactor_specs\u001b[38;5;241m.\u001b[39mvalues()]\n\u001b[0;32m---> 43\u001b[0m dist_params_split \u001b[38;5;241m=\u001b[39m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_cat\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msplit_sizes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 44\u001b[0m names \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfactor_specs\u001b[38;5;241m.\u001b[39mkeys()\n\u001b[1;32m 45\u001b[0m factors \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\u001b[38;5;28mzip\u001b[39m(names, dist_params_split))\n", - "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/functional.py:189\u001b[0m, in \u001b[0;36msplit\u001b[0;34m(tensor, split_size_or_sections, dim)\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m handle_torch_function(\n\u001b[1;32m 184\u001b[0m split, (tensor,), tensor, split_size_or_sections, dim\u001b[38;5;241m=\u001b[39mdim)\n\u001b[1;32m 185\u001b[0m \u001b[38;5;66;03m# Overwriting reason:\u001b[39;00m\n\u001b[1;32m 186\u001b[0m \u001b[38;5;66;03m# This dispatches to two ATen functions depending on the type of\u001b[39;00m\n\u001b[1;32m 187\u001b[0m \u001b[38;5;66;03m# split_size_or_sections. The branching code is in _tensor.py, which we\u001b[39;00m\n\u001b[1;32m 188\u001b[0m \u001b[38;5;66;03m# call here.\u001b[39;00m\n\u001b[0;32m--> 189\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtensor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43msplit_size_or_sections\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/_tensor.py:803\u001b[0m, in \u001b[0;36mTensor.split\u001b[0;34m(self, split_size, dim)\u001b[0m\n\u001b[1;32m 801\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m torch\u001b[38;5;241m.\u001b[39m_VF\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;28mself\u001b[39m, split_size, dim) \u001b[38;5;66;03m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[1;32m 802\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 803\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_VF\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit_with_sizes\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msplit_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[0;31mRuntimeError\u001b[0m: split_with_sizes expects split_sizes to sum exactly to 20 (input tensor's size at dimension 3), but got split_sizes=[1, 4, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]" - ] - } - ], - "source": [ - "vd = vds.make_dist(pred['x_features'])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3ef36460", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "deb233fa", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "29d1122c", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "24f9d82c", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8541ae72", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3b0a8a41", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "96916045", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "22c63a80", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "67c46455", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "da9f1cab", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0b54c04f", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "9b9b4ec8", - "metadata": {}, - "source": [ - "#### Below is first playing around, working with my config a bit. Trying to generate redshifts (dummy)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8163d060", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2122d016", - "metadata": {}, - "outputs": [], - "source": [ - "os.getcwd()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "081900bd", - "metadata": {}, - "outputs": [], - "source": [ - "os.chdir('/home/declan/current/bliss')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bc70a764", - "metadata": {}, - "outputs": [], - "source": [ - "sys.path.append('./case_studies/redshift')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "04657ad2", - "metadata": {}, - "outputs": [], - "source": [ - "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", - "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", - "import torch" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "73cf562f", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "from os import environ\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from hydra.utils import instantiate\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c071ab00", - "metadata": {}, - "outputs": [], - "source": [ - "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", - "with initialize(config_path=\".\", version_base=None):\n", - " cfg = compose(\"redshift\", overrides={\"surveys.sdss.load_image_data=true\"})" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8451051f", - "metadata": {}, - "outputs": [], - "source": [ - "cfg.simulator" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "73ec8a9f", - "metadata": {}, - "outputs": [], - "source": [ - "simulator = instantiate(cfg.simulator)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7e6607ff", - "metadata": {}, - "outputs": [], - "source": [ - "simulator" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "de1a185d", - "metadata": {}, - "outputs": [], - "source": [ - "vars(simulator)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "85d45e85", - "metadata": {}, - "outputs": [], - "source": [ - "simulator.catalog_prior.redshift_max" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "04e6d566", - "metadata": {}, - "outputs": [], - "source": [ - "simulator.catalog_prior.galaxy_flux_min" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d932c994", - "metadata": {}, - "outputs": [], - "source": [ - "simulator.catalog_prior._sample_redshifts().shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "09cc40a1", - "metadata": {}, - "outputs": [], - "source": [ - "yo = simulator.catalog_prior.sample()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "51ad9774", - "metadata": {}, - "outputs": [], - "source": [ - "yo.redshifts" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8171314f", - "metadata": {}, - "outputs": [], - "source": [ - "type(yo)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4acc01d5", - "metadata": {}, - "outputs": [], - "source": [ - "yo.n_sources.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a93f7bae", - "metadata": {}, - "outputs": [], - "source": [ - "yo.__getitem__(\"redshifts\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "47c21b70", - "metadata": {}, - "outputs": [], - "source": [ - "yo.allowed_params" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "161ee844", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1c2eb17e", - "metadata": {}, - "outputs": [], - "source": [ - "simulator = instantiate(cfg.simulator)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "95f8a3cb", - "metadata": {}, - "outputs": [], - "source": [ - "tc = simulator.catalog_prior.sample()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6959eb0c", - "metadata": {}, - "outputs": [], - "source": [ - "tc" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ec38c173", - "metadata": {}, - "outputs": [], - "source": [ - "vars(tc).keys()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cf8e76c6", - "metadata": {}, - "outputs": [], - "source": [ - "tc.n_sources.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d94d67fd", - "metadata": {}, - "outputs": [], - "source": [ - "tc.n_tiles_h" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a3186aaf", - "metadata": {}, - "outputs": [], - "source": [ - "tc.n_sources[0][0][0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3c18b517", - "metadata": {}, - "outputs": [], - "source": [ - "tc.tile_slen" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3d959092", - "metadata": {}, - "outputs": [], - "source": [ - "tc.data.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "52b048db", - "metadata": {}, - "outputs": [], - "source": [ - "tc.data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b7923072", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/redshift_specific/1-PriorConstruction.ipynb b/case_studies/redshift_estimation/notebooks/redshift_specific/1-PriorConstruction.ipynb deleted file mode 100644 index 4d3fb6465..000000000 --- a/case_studies/redshift_estimation/notebooks/redshift_specific/1-PriorConstruction.ipynb +++ /dev/null @@ -1,682 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "2080fafc", - "metadata": {}, - "source": [ - "# Prior Construction For Photo-z" - ] - }, - { - "cell_type": "markdown", - "id": "370d59ee", - "metadata": {}, - "source": [ - "As mentioned in the review document, we construct two priors on redshift and photometry based on SDSS and DC2 data." - ] - }, - { - "cell_type": "markdown", - "id": "fc778123", - "metadata": {}, - "source": [ - "### Data Gathering - SDSS" - ] - }, - { - "cell_type": "markdown", - "id": "972b856e", - "metadata": {}, - "source": [ - "The SDSS data needs to be gathered from online. This is accomplished by running the script `get_redshift.py`. As you will see if you read the script, this results in a file called `photometric_data.csv` containing object ids, flux magnitudes, and redshifts, and also the object type." - ] - }, - { - "cell_type": "markdown", - "id": "7023e94d", - "metadata": {}, - "source": [ - "This `photometric_data.csv` file was then cleaned (if necessary), and split into two files `STAR.csv` and `GALAXY.csv`. To make the problem easier, for the URPS project we only generated galaxies, not stars. You can investigate the class `RedshiftCSVPriorSDSS` in `prior.py` to see the corresponding prior class, that reads in `GALAXY.csv`. This class samples redshifts and photometry by picking rows at random from `GALAXY.csv`. " - ] - }, - { - "cell_type": "markdown", - "id": "039610e3", - "metadata": {}, - "source": [ - "**The current location for all files mentioned above is `/data/scratch/declan`**." - ] - }, - { - "cell_type": "markdown", - "id": "c8c2a9ae", - "metadata": {}, - "source": [ - "##### TODO: Write additional data wrangling scripts to generate `STAR.csv` and `GALAXY.CSV`. Currently these don't exist. Organize all wrangling files including `get_redshift.py`." - ] - }, - { - "cell_type": "markdown", - "id": "f6f6bbb9", - "metadata": {}, - "source": [ - "### Data Gathering - DC2" - ] - }, - { - "cell_type": "markdown", - "id": "9910ad8e", - "metadata": {}, - "source": [ - "Fortunately, the DC2 data are already stored on the server. The cells below illustrate how one can access the \"truth tables\" that contain the redshifts and photometry." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "1cd4643b", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import math\n", - "import numpy as np\n", - "import torch\n", - "import pandas as pd\n", - "import GCRCatalogs\n", - "from GCR import GCRQuery" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "596ad137", - "metadata": {}, - "outputs": [], - "source": [ - "# Command line: within virtual environment run \n", - "# python -m pip install https://github.com/LSSTDESC/gcr-catalogs/archive/v1.4.0.tar.gz#egg=GCRCatalogs[full]" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "0bbe8983", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/nfs/turbo/lsa-regier/'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "GCRCatalogs.set_root_dir('/nfs/turbo/lsa-regier/')\n", - "GCRCatalogs.get_root_dir()\n", - "# need to do this in accordance with instructions at https://data.lsstdesc.org/doc/install_gcr" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "c537a3b4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['desc_cosmodc2',\n", - " 'desc_dc2_run2.2i_dr6_object',\n", - " 'desc_dc2_run2.2i_dr6_object_with_truth_match',\n", - " 'desc_dc2_run2.2i_dr6_truth',\n", - " 'desc_dc2_run2.2i_truth_galaxy_summary',\n", - " 'desc_dc2_run2.2i_truth_sn_summary',\n", - " 'desc_dc2_run2.2i_truth_sn_variability',\n", - " 'desc_dc2_run2.2i_truth_star_summary',\n", - " 'desc_dc2_run2.2i_truth_star_variability']" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# List of public catalog names\n", - "GCRCatalogs.get_public_catalog_names()" - ] - }, - { - "cell_type": "markdown", - "id": "8dbb5fde", - "metadata": {}, - "source": [ - "We're generally going to be interested in the truth files, which we know will have redshift and photometry values for us to use. Let's load a truth file and examine the fields we have available to us. We can explore relevant fields." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "ae688087", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['flux_g',\n", - " 'cosmodc2_hp',\n", - " 'mag_i',\n", - " 'patch',\n", - " 'mag_y',\n", - " 'flux_u',\n", - " 'tract',\n", - " 'dec',\n", - " 'flux_r',\n", - " 'av',\n", - " 'id',\n", - " 'redshift',\n", - " 'rv',\n", - " 'cosmodc2_id',\n", - " 'ra',\n", - " 'match_objectId',\n", - " 'is_unique_truth_entry',\n", - " 'flux_y',\n", - " 'mag_g',\n", - " 'is_nearest_neighbor',\n", - " 'host_galaxy',\n", - " 'mag_z',\n", - " 'is_good_match',\n", - " 'flux_i',\n", - " 'truth_type',\n", - " 'match_sep',\n", - " 'flux_z',\n", - " 'mag_r',\n", - " 'mag_u',\n", - " 'id_string']" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "truth_cat = GCRCatalogs.load_catalog('desc_dc2_run2.2i_dr6_truth')\n", - "truth_cat.list_all_quantities()" - ] - }, - { - "cell_type": "markdown", - "id": "f0b2872a", - "metadata": {}, - "source": [ - "First let's reload all relevant quantities from the truth catalog we're familiar with.\n", - "\n", - "**The cell below will take a long time to run.**" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "650a6ce1", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Finished flux_u\n", - "Finished flux_g\n", - "Finished flux_r\n", - "Finished flux_i\n", - "Finished flux_z\n", - "Finished flux_y\n", - "Finished mag_u\n", - "Finished mag_g\n", - "Finished mag_r\n", - "Finished mag_i\n", - "Finished mag_z\n", - "Finished mag_y\n", - "Finished truth_type\n", - "Finished redshift\n", - "Finished id\n", - "Finished match_objectId\n", - "Finished cosmodc2_id\n", - "Finished id_string\n" - ] - } - ], - "source": [ - "all_truth_data = {}\n", - "quantities = [\"flux_u\", \"flux_g\", \"flux_r\", \"flux_i\", \"flux_z\", \"flux_y\",\n", - " \"mag_u\", \"mag_g\", \"mag_r\", \"mag_i\", \"mag_z\", \"mag_y\",\n", - " \"truth_type\", \"redshift\",\n", - " \"id\", \"match_objectId\", \"cosmodc2_id\", \"id_string\"]\n", - "for q in quantities:\n", - " this_field = truth_cat.get_quantities([q])\n", - " all_truth_data[q] = this_field[q]\n", - " print('Finished {}'.format(q))\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "0dff9cbc", - "metadata": {}, - "outputs": [], - "source": [ - "truth_data = pd.DataFrame(all_truth_data)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "180c0994", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(764026213, 18)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "truth_data.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "a5e264f6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
flux_uflux_gflux_rflux_iflux_zflux_ymag_umag_gmag_rmag_imag_zmag_ytruth_typeredshiftidmatch_objectIdcosmodc2_idid_string
05678.7089845577.5175786334.5024418848.51562515267.94726619116.74023422.01437822.03389721.89571821.53282420.94055020.69646811.05046810940305839119759064195403431094030583910940305839
1146.5180211341.1317145984.99462912850.58105518818.28320322972.25000025.98527523.58132221.95734021.12769720.71355120.49699410.47481910937870093119759064195412061093787009310937870093
2134.074341272.126617766.9030152072.0495612690.3303223052.68896526.08163825.31307424.18814823.10899922.82548722.68829310.75903611563663598119760438584934411156366359811563663598
3932.0081181224.2807622598.8271486678.4086919719.28027311019.93750023.97645223.68029822.86305621.83831821.43091421.29455410.80850210938869183119760438584934431093886918310938869183
435.554699104.535225462.3018491221.9360352384.8063962966.53906227.52275826.35184524.73768623.68238122.95636922.71937610.84929811564005688119760438584937371156400568811564005688
5577.276917648.449158943.1256102090.3359382522.6767582646.65112324.49654024.37031023.96357723.09946122.89534622.84325810.82261411563831110119760438584937381156383111011563831110
6893.910278838.389343976.0228881568.7298582002.0577392065.45996124.02176724.09138723.92635223.41113123.14630923.11245910.92938011564445231119760438584937391156444523111564445231
7610.097229828.8851931807.4377442516.5556642857.0297853111.17724624.43650424.10376523.25734122.89798522.76021222.66769010.51786411562943167119760438584937401156294316711562943167
8607.9747921396.3231202972.8225103748.6533204305.6293954791.28271524.44028923.53753722.71707722.46531322.31490922.19887010.30716410937620679119760438584937411093762067910937620679
9287.352844495.0523681347.4246831959.8701172078.4250492199.09472725.25396324.66337423.57624123.16943223.10566323.04439210.57274611563034476119760438584937421156303447611563034476
\n", - "
" - ], - "text/plain": [ - " flux_u flux_g flux_r flux_i flux_z \\\n", - "0 5678.708984 5577.517578 6334.502441 8848.515625 15267.947266 \n", - "1 146.518021 1341.131714 5984.994629 12850.581055 18818.283203 \n", - "2 134.074341 272.126617 766.903015 2072.049561 2690.330322 \n", - "3 932.008118 1224.280762 2598.827148 6678.408691 9719.280273 \n", - "4 35.554699 104.535225 462.301849 1221.936035 2384.806396 \n", - "5 577.276917 648.449158 943.125610 2090.335938 2522.676758 \n", - "6 893.910278 838.389343 976.022888 1568.729858 2002.057739 \n", - "7 610.097229 828.885193 1807.437744 2516.555664 2857.029785 \n", - "8 607.974792 1396.323120 2972.822510 3748.653320 4305.629395 \n", - "9 287.352844 495.052368 1347.424683 1959.870117 2078.425049 \n", - "\n", - " flux_y mag_u mag_g mag_r mag_i mag_z \\\n", - "0 19116.740234 22.014378 22.033897 21.895718 21.532824 20.940550 \n", - "1 22972.250000 25.985275 23.581322 21.957340 21.127697 20.713551 \n", - "2 3052.688965 26.081638 25.313074 24.188148 23.108999 22.825487 \n", - "3 11019.937500 23.976452 23.680298 22.863056 21.838318 21.430914 \n", - "4 2966.539062 27.522758 26.351845 24.737686 23.682381 22.956369 \n", - "5 2646.651123 24.496540 24.370310 23.963577 23.099461 22.895346 \n", - "6 2065.459961 24.021767 24.091387 23.926352 23.411131 23.146309 \n", - "7 3111.177246 24.436504 24.103765 23.257341 22.897985 22.760212 \n", - "8 4791.282715 24.440289 23.537537 22.717077 22.465313 22.314909 \n", - "9 2199.094727 25.253963 24.663374 23.576241 23.169432 23.105663 \n", - "\n", - " mag_y truth_type redshift id match_objectId \\\n", - "0 20.696468 1 1.050468 10940305839 11975906419540343 \n", - "1 20.496994 1 0.474819 10937870093 11975906419541206 \n", - "2 22.688293 1 0.759036 11563663598 11976043858493441 \n", - "3 21.294554 1 0.808502 10938869183 11976043858493443 \n", - "4 22.719376 1 0.849298 11564005688 11976043858493737 \n", - "5 22.843258 1 0.822614 11563831110 11976043858493738 \n", - "6 23.112459 1 0.929380 11564445231 11976043858493739 \n", - "7 22.667690 1 0.517864 11562943167 11976043858493740 \n", - "8 22.198870 1 0.307164 10937620679 11976043858493741 \n", - "9 23.044392 1 0.572746 11563034476 11976043858493742 \n", - "\n", - " cosmodc2_id id_string \n", - "0 10940305839 10940305839 \n", - "1 10937870093 10937870093 \n", - "2 11563663598 11563663598 \n", - "3 10938869183 10938869183 \n", - "4 11564005688 11564005688 \n", - "5 11563831110 11563831110 \n", - "6 11564445231 11564445231 \n", - "7 11562943167 11562943167 \n", - "8 10937620679 10937620679 \n", - "9 11563034476 11563034476 " - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "truth_data.head(10)" - ] - }, - { - "cell_type": "markdown", - "id": "699e32fc", - "metadata": {}, - "source": [ - "There is excess information above; we really can just focus on the magnitudes, redshifts, and truth-types. Pere the schema below, `truth_type=1` indicates a galaxy, while `truth_type=2` indicates a star.\n", - "\n", - "https://github.com/LSSTDESC/gcr-catalogs/blob/master/GCRCatalogs/SCHEMA.md" - ] - }, - { - "cell_type": "markdown", - "id": "140dea9d", - "metadata": {}, - "source": [ - "Similar to the above for SDSS, we want to filter to galaxies only for now to make the problem easier. We also will have no choice but to reduce the size of the dataset. As you see above, 764 million objects is way too many. The file `dc2_truth_galaxies_mini_clean.csv` does performs the following operations on the dataframe above:\n", - "\n", - " -- Clean if necessary (remove rows with negative redshifts, magnitudes, etc.)\n", - " -- Filter for only galaxies\n", - " -- Consider only a few milllion observations\n", - " \n", - "By investigating the class `RedshiftCSVPriorDC2` in `prior.py`, you can see how this file is used in the DC2 prior. Currently, there is just one copy of this file and not a script to generate it automatically." - ] - }, - { - "cell_type": "markdown", - "id": "0051ffbf", - "metadata": {}, - "source": [ - "##### TODO: write additional wrangling scripts to automate the procedure above to produce the desired csv files. Organize all wrangling scripts. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e5f1b205", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/redshift_specific/2-Training.ipynb b/case_studies/redshift_estimation/notebooks/redshift_specific/2-Training.ipynb deleted file mode 100644 index 1c3593d14..000000000 --- a/case_studies/redshift_estimation/notebooks/redshift_specific/2-Training.ipynb +++ /dev/null @@ -1,99 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "a3daae5a", - "metadata": {}, - "source": [ - "# Training For Redshifts" - ] - }, - { - "cell_type": "markdown", - "id": "ea7c40d1", - "metadata": {}, - "source": [ - "Training for redshifts is rather straightforward. The `Encoder` in `encoder.py` and the `RedshiftVarDist` and `RedshiftVarDistSpec` in `variational_dist.py` automate the procedure. " - ] - }, - { - "cell_type": "markdown", - "id": "345a86ed", - "metadata": {}, - "source": [ - "**Note how the `RedshiftVarDistSpec` class defines the variational family on redshift to be Gaussian. Future work may be to make this family more expressive, e.g. a mixture of Gaussians.**" - ] - }, - { - "cell_type": "markdown", - "id": "f8a08f39", - "metadata": {}, - "source": [ - "##### TODO: we would prefer to not modify the `encoder.py` file at all. One goal for a student working on this may be to clean up the code so that changes to encoder.py are unneccessary, and all necessary changes are done via `variational_dist.py`." - ] - }, - { - "cell_type": "markdown", - "id": "ab6f3f25", - "metadata": {}, - "source": [ - "### Training for SDSS Prior" - ] - }, - { - "cell_type": "markdown", - "id": "50c05bdb", - "metadata": {}, - "source": [ - "One simply needs to perform the following steps.\n", - "\n", - "1. Generate synthetic data using the prior `RedshiftCSVPriorSDSS`\n", - " - Adjust the prior field in `redshift.yaml`\n", - " - Choose where the data should be stored in `generate.cached_data_path` in `redshift.yaml`.\n", - " - Run `nohup ./scripts/generate_data_in_parallel.sh -n 16 -cp /home/declan/current/bliss/case_studies/redshift_estimation/ -cn redshift.yaml mode=generate &> generate_output.out &` or similar.\n", - " \n", - "2. Train the encoder on the generated data.\n", - " - Make sure you have the prior `generate.cached_data_path` specified. For completeness, make sure prior field is correct too as above. \n", - " - Choose where you want to store encoder weights in `paths.output` in `redshift.yaml`.\n", - " - Run `nohup bliss -cp /home/declan/current/bliss/case_studies/redshift_estimation/ --config-name redshift.yaml mode=train &> training.out &` or similar to train the encoder. The weights will be stored in the checkpoint." - ] - }, - { - "cell_type": "markdown", - "id": "073ddc20", - "metadata": {}, - "source": [ - "### Training for DC2 Prior" - ] - }, - { - "cell_type": "markdown", - "id": "4ea70cfb", - "metadata": {}, - "source": [ - "Exactly the same as above, just make sure you specify correct priors, cached data paths, etc." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/redshift_specific/3-Evaluation.ipynb b/case_studies/redshift_estimation/notebooks/redshift_specific/3-Evaluation.ipynb deleted file mode 100644 index f63c40fc6..000000000 --- a/case_studies/redshift_estimation/notebooks/redshift_specific/3-Evaluation.ipynb +++ /dev/null @@ -1,369 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "f928702e", - "metadata": {}, - "source": [ - "# Evaluation" - ] - }, - { - "cell_type": "markdown", - "id": "ef6b1e05", - "metadata": {}, - "source": [ - "We'll perform evaluation for a model trained on SDSS data to illustrate." - ] - }, - { - "cell_type": "markdown", - "id": "b437af38", - "metadata": {}, - "source": [ - "### Semi-Synthetic Data: SDSS" - ] - }, - { - "cell_type": "markdown", - "id": "bb79bfa7", - "metadata": {}, - "source": [ - "Let's look at some images generated in this manner. We plot 10 example images, each in the $u,g,r,i,z$ bands. By default, BLISS chooses the SDSS survey with reference band $r$, and we make no modifications to this." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "d3578c49", - "metadata": {}, - "outputs": [], - "source": [ - "import torch\n", - "import numpy as np\n", - "import math\n", - "import os\n", - "import torch\n", - "import pytorch_lightning as pl\n", - "from hydra.utils import instantiate\n", - "import matplotlib.pyplot as plt\n", - "from case_studies.redshift_estimation.catalog import RedshiftFullCatalog, RedshiftTileCatalog\n", - "from bliss.encoder.plotting import plot_detections, my_plot_detections" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "33c107e3", - "metadata": {}, - "outputs": [], - "source": [ - "from os import environ\n", - "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", - "\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from bliss.main import predict\n", - "\n", - "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "2827e204", - "metadata": {}, - "outputs": [], - "source": [ - "with initialize(config_path=\"../..\", version_base=None):\n", - " cfg = compose(\"redshift\", {})" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "8b797d77", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Global seed set to 42\n" - ] - } - ], - "source": [ - "# This cell will take some time to run to load the dataset\n", - "pl.seed_everything(cfg.train.seed)\n", - "\n", - "# setup dataset and encoder\n", - "dataset = instantiate(cfg.train.data_source)\n", - "encoder = instantiate(cfg.train.encoder)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "0baa6a54", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Batch of images is of shape torch.Size([32, 5, 80, 80])\n" - ] - } - ], - "source": [ - "train_dataloader = dataset.train_dataloader() \n", - "batch = next(iter(train_dataloader))\n", - "print('Batch of images is of shape {}'.format(batch['images'].shape))" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "b87a36f1", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "n_to_show = 10\n", - "_, axs = plt.subplots(10, 5, figsize=(12,24))\n", - "axs = axs.flatten()\n", - "imgs = batch['images'][:10].flatten(start_dim=0,end_dim=1)\n", - "for img, ax in zip(imgs, axs):\n", - " ax.imshow(img)\n", - " \n", - "for a in axs:\n", - " a.set_xticklabels([])\n", - " a.set_yticklabels([])\n", - "\n", - "plt.subplots_adjust(wspace=0, hspace=0)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "0891768c", - "metadata": {}, - "source": [ - "### In-Sample Training Results: SDSS" - ] - }, - { - "cell_type": "markdown", - "id": "9aa03613", - "metadata": {}, - "source": [ - "We fit the encoder using the BLISS pipeline. Essentially, photo-$z$ estimation is performed via a module in parallel to the existing pipeline: the current pipeline estimates locations, types, and fluxes of each astronomical object. We simply add outputs to the encoder network that are used to parameterize the variational distributions on redshift.\n", - "\n", - "Currently, the variational distributions on redshift are univariate Gaussian; a mixture of Gaussians could be used in the future. As with other quantities, the per-tile NLL contribution for redshift is conditioned on the presence of a true source in that tile, etc. We leave other aspects of BLISS unchanged, so in addition we also estimate the number of sources, the type of each source, the fluxes and galaxy parameters of each source, etc.\n", - "\n", - "Let's load the fitted encoder and check that we are detecting sources properly. We overlay red \"x\"s on the posterior mode per-tile of the detected source, if a source is detected in that tile. We'll just overlay on top of the r-band image, as we don't have coaddition support for SDSS." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "8d127115", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PATH = \"/home/declan/current/bliss/redshift_output/version_2/checkpoints/best_encoder.ckpt\"\n", - "checkpoint = torch.load(PATH)\n", - "encoder.load_state_dict(checkpoint['state_dict'])" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "8f6bbefc", - "metadata": {}, - "outputs": [], - "source": [ - "est_cat = encoder.sample(batch, use_mode=True) # I'm using the mode to predict\n", - "est_cat = est_cat.to_dict()" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "0d71c7cc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot r_band for a selected image, overlay detected source locations\n", - "image_to_show = 5\n", - "fig, ax = plt.subplots()\n", - "ax.imshow(batch['images'][image_to_show].sum(0)) # Coadd by simple summation" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "b029d759", - "metadata": {}, - "outputs": [], - "source": [ - "target_cat = RedshiftTileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", - "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - "target_cat_cropped = target_cat.symmetric_crop(encoder.tiles_to_crop)\n", - "est_cat = encoder.sample(batch, use_mode=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "ef07e553", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "mp = encoder.tiles_to_crop * encoder.tile_slen\n", - "fig = my_plot_detections(image_to_show, batch[\"images\"], target_cat_cropped, est_cat, margin_px=mp, figsize=(6,6))" - ] - }, - { - "cell_type": "markdown", - "id": "c46aa4f0", - "metadata": {}, - "source": [ - "Evidently, we're not doing terribly at predicting sources or their locations; let's assume then that we havne't broken the existing functionality of BLISS. We're interested in the quality of our photometric redshift estimates though. Let's plot these in a scatterplot across the whole training set. This will be quite a dense scatterplot because of the sheer number of images we train on." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "ff8c8535", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "\n", - "\n", - "for idx, batch in enumerate(train_dataloader):\n", - " est_cat = encoder.sample(batch, use_mode=True)\n", - " pred_redshifts = est_cat.to_dict()['redshifts']\n", - " true_redshifts = batch['tile_catalog']['redshifts']\n", - " \n", - " # Cut out border of true_redshifts\n", - " true_redshifts = true_redshifts[:,1:-1,1:-1]\n", - " true_redshifts = true_redshifts.squeeze(-1)\n", - " \n", - " # Add this batch to scatterplot\n", - " ax.scatter(true_redshifts.detach().numpy(), pred_redshifts.detach().numpy(), c='b', marker='.', s=3, alpha=0.1)\n", - " ax.set_xlim(0,1)\n", - " ax.set_ylim(0,1)\n", - " \n", - " # Too many objects so we break early here\n", - " if idx > 100:\n", - " break" - ] - }, - { - "cell_type": "markdown", - "id": "bea3462d", - "metadata": {}, - "source": [ - "This isn't a great result; we'd rather than scattplot look as close to the line $y=x$ as possible." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "80ed2062", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/tutorials/1-FullPipelineExample.ipynb b/case_studies/redshift_estimation/notebooks/tutorials/1-FullPipelineExample.ipynb deleted file mode 100644 index a08bd749f..000000000 --- a/case_studies/redshift_estimation/notebooks/tutorials/1-FullPipelineExample.ipynb +++ /dev/null @@ -1,2855 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "ce3c3ec4", - "metadata": {}, - "source": [ - "### Outline" - ] - }, - { - "cell_type": "markdown", - "id": "3565991a", - "metadata": {}, - "source": [ - "The goal of this notebook is to illustrate the full BLISS pipeline, briefly. We will identify several of the main data objects used along the way, but avoid mathematical intricacies and details of the training objective. Briefly, we'll have\n", - "\n", - "1. Generation of synthetic data\n", - "2. Training of the encoder network\n", - "3. Validation/evaluation of the encoder network on held-out data (either simulated or real)." - ] - }, - { - "cell_type": "markdown", - "id": "a6eb35f7", - "metadata": {}, - "source": [ - "#### 1. Generation of synthetic data." - ] - }, - { - "cell_type": "markdown", - "id": "d388caa8", - "metadata": {}, - "source": [ - "This would typically be done using something like ```bliss mode=generate``` from the command line. This calls the ```generate``` function within ```bliss/main.py```, using the default ```DictConfig``` object specified by the various ```.yaml``` files." - ] - }, - { - "cell_type": "markdown", - "id": "c48503ee", - "metadata": {}, - "source": [ - "The code below loads the file ```m2_config.yaml``` from ```case_studies/dependent_tiling``` as a DictConfig for use by ```hydra```. You may have to change some absolute and relative paths to get this to load for you." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "8163d060", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "2122d016", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/home/declan/current/bliss/case_studies/redshift_estimation/notebooks'" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "os.getcwd()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "081900bd", - "metadata": {}, - "outputs": [], - "source": [ - "os.chdir('/home/declan/current/bliss')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "04657ad2", - "metadata": {}, - "outputs": [], - "source": [ - "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", - "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", - "import torch\n", - "import numpy as np\n", - "from os import environ\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from hydra.utils import instantiate\n", - "import matplotlib.pyplot as plt\n", - "from omegaconf import DictConfig, OmegaConf\n", - "from bliss.catalog import TileCatalog" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "c071ab00", - "metadata": {}, - "outputs": [], - "source": [ - "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", - "with initialize(config_path=\"../../case_studies/dependent_tiling\", version_base=None):\n", - " cfg = compose(\"m2_config\", overrides={\"surveys.sdss.load_image_data=true\"})" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "e0fbff62", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "omegaconf.dictconfig.DictConfig" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(cfg)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "031aed62", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "paths:\n", - " root: ${oc.env:BLISS_HOME}\n", - " data: ${paths.root}/data\n", - " sdss: ${paths.data}/sdss\n", - " decals: ${paths.data}/decals\n", - " des: ${paths.data}/des\n", - " dc2: ${paths.data}/dc2\n", - " output: ${paths.root}/output\n", - " pretrained_models: ${paths.data}/pretrained_models\n", - "prior:\n", - " _target_: bliss.simulator.prior.CatalogPrior\n", - " survey_bands:\n", - " - u\n", - " - g\n", - " - r\n", - " - i\n", - " - z\n", - " reference_band: 2\n", - " star_color_model_path: ${simulator.survey.dir_path}/color_models/star_gmm_nmgy.pkl\n", - " gal_color_model_path: ${simulator.survey.dir_path}/color_models/gal_gmm_nmgy.pkl\n", - " n_tiles_h: 56\n", - " n_tiles_w: 56\n", - " tile_slen: 2\n", - " batch_size: 32\n", - " max_sources: 6\n", - " mean_sources: 0.48\n", - " min_sources: 0\n", - " prob_galaxy: 0.0\n", - " star_flux_exponent: 0.9859821185389767\n", - " star_flux_truncation: 5685.588160703261\n", - " star_flux_loc: -1.162430157551662\n", - " star_flux_scale: 1.4137911256506595\n", - " galaxy_flux_truncation: 1013\n", - " galaxy_flux_exponent: 0.47\n", - " galaxy_flux_scale: 0.6301037\n", - " galaxy_flux_loc: 0.0\n", - " galaxy_a_concentration: 0.39330758068481686\n", - " galaxy_a_loc: 0.8371888967872619\n", - " galaxy_a_scale: 4.432725319432478\n", - " galaxy_a_bd_ratio: 2.0\n", - "simulator:\n", - " _target_: bliss.simulator.simulated_dataset.SimulatedDataset\n", - " survey: ${surveys.sdss}\n", - " prior: ${prior}\n", - " n_batches: 128\n", - " use_coaddition: false\n", - " coadd_depth: 1\n", - " num_workers: 32\n", - " valid_n_batches: 10\n", - " fix_validation_set: true\n", - "cached_simulator:\n", - " _target_: bliss.simulator.simulated_dataset.CachedSimulatedDataset\n", - " batch_size: 23\n", - " splits: 0:80/80:90/90:100\n", - " num_workers: 0\n", - " cached_data_path: /data/scratch/regier/m2\n", - " file_prefix: ${generate.file_prefix}\n", - "encoder:\n", - " _target_: bliss.encoder.encoder.Encoder\n", - " survey_bands:\n", - " - u\n", - " - g\n", - " - r\n", - " - i\n", - " - z\n", - " tile_slen: 2\n", - " tiles_to_crop: 1\n", - " min_flux_threshold: 0.9419\n", - " optimizer_params:\n", - " lr: 0.001\n", - " scheduler_params:\n", - " milestones:\n", - " - 32\n", - " gamma: 0.1\n", - " image_normalizer:\n", - " _target_: bliss.encoder.image_normalizer.ImageNormalizer\n", - " bands:\n", - " - 2\n", - " include_original: false\n", - " use_deconv_channel: false\n", - " concat_psf_params: false\n", - " num_psf_params: 6\n", - " log_transform_stdevs:\n", - " - -3\n", - " - 0\n", - " - 1\n", - " - 3\n", - " use_clahe: true\n", - " clahe_min_stdev: 200\n", - " vd_spec:\n", - " _target_: bliss.encoder.variational_dist.VariationalDistSpec\n", - " survey_bands: ${encoder.survey_bands}\n", - " tile_slen: ${encoder.tile_slen}\n", - " matcher:\n", - " _target_: bliss.encoder.metrics.CatalogMatcher\n", - " dist_slack: 0.5\n", - " mag_slack: 0.5\n", - " mag_band: 2\n", - " metrics:\n", - " _target_: torchmetrics.MetricCollection\n", - " metrics:\n", - " - _target_: bliss.encoder.metrics.DetectionPerformance\n", - " mag_bin_cutoffs:\n", - " - 19\n", - " - 19.4\n", - " - 19.8\n", - " - 20.2\n", - " - 20.6\n", - " - 21\n", - " - 21.4\n", - " - 21.8\n", - " - 22.065\n", - " exclude_last_bin: true\n", - " do_data_augmentation: false\n", - " compile_model: false\n", - " double_detect: true\n", - " use_checkerboard: true\n", - "surveys:\n", - " sdss:\n", - " _target_: bliss.surveys.sdss.SloanDigitalSkySurvey\n", - " dir_path: ${paths.sdss}\n", - " fields:\n", - " - run: 2583\n", - " camcol: 2\n", - " fields:\n", - " - 136\n", - " psf_config:\n", - " pixel_scale: 0.396\n", - " psf_slen: 25\n", - " pixel_shift: 2\n", - " align_to_band: null\n", - " load_image_data: true\n", - " background_offset: 80\n", - " decals:\n", - " _target_: bliss.surveys.decals.DarkEnergyCameraLegacySurvey\n", - " dir_path: ${paths.decals}\n", - " sky_coords:\n", - " - ra: 336.6643042496718\n", - " dec: -0.9316385797930247\n", - " bands:\n", - " - 0\n", - " - 1\n", - " - 3\n", - " psf_config:\n", - " pixel_scale: 0.262\n", - " psf_slen: 63\n", - " pixel_shift: 2\n", - " des:\n", - " _target_: bliss.surveys.des.DarkEnergySurvey\n", - " dir_path: ${paths.des}\n", - " image_ids:\n", - " - sky_coord:\n", - " ra: 336.6643042496718\n", - " dec: -0.9316385797930247\n", - " decals_brickname: 3366m010\n", - " ccdname: S28\n", - " g: decam/CP/V4.8.2a/CP20171108/c4d_171109_002003_ooi_g_ls9\n", - " r: decam/CP/V4.8.2a/CP20170926/c4d_170927_025457_ooi_r_ls9\n", - " i: ''\n", - " z: decam/CP/V4.8.2a/CP20170926/c4d_170927_025655_ooi_z_ls9\n", - " psf_config:\n", - " pixel_scale: 0.262\n", - " psf_slen: 63\n", - " pixel_shift: 2\n", - " dc2:\n", - " _target_: bliss.surveys.dc2.DC2\n", - " data_dir: /nfs/turbo/lsa-regier/lsstdesc-public/dc2/run2.2i-dr6-v4/coadd-t3828-t3829/deepCoadd-results/\n", - " cat_path: ${paths.dc2}/merged_catalog/merged_catalog_psf_100.pkl\n", - " batch_size: 64\n", - " n_split: 50\n", - " image_lim:\n", - " - 4000\n", - " - 4000\n", - " use_deconv_channel: ${encoder.image_normalizer.use_deconv_channel}\n", - " deconv_path: ${paths.dc2}/coadd_deconv_image\n", - "mode: train\n", - "generate:\n", - " n_image_files: 16\n", - " n_batches_per_file: 16\n", - " simulator: ${simulator}\n", - " cached_data_path: /data/scratch/regier/m2\n", - " file_prefix: dataset\n", - "train:\n", - " trainer:\n", - " _target_: pytorch_lightning.Trainer\n", - " logger:\n", - " _target_: pytorch_lightning.loggers.TensorBoardLogger\n", - " save_dir: ${paths.output}\n", - " name: null\n", - " version: null\n", - " default_hp_metric: false\n", - " callbacks:\n", - " - _target_: pytorch_lightning.callbacks.ModelCheckpoint\n", - " filename: best_encoder\n", - " save_top_k: 1\n", - " verbose: true\n", - " monitor: val/_loss\n", - " mode: min\n", - " save_on_train_epoch_end: false\n", - " auto_insert_metric_name: false\n", - " - _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping\n", - " monitor: val/_loss\n", - " mode: min\n", - " patience: 5\n", - " reload_dataloaders_every_n_epochs: 0\n", - " check_val_every_n_epoch: 1\n", - " log_every_n_steps: 10\n", - " min_epochs: 1\n", - " max_epochs: 50\n", - " accelerator: gpu\n", - " devices: 1\n", - " precision: 16-mixed\n", - " data_source: ${cached_simulator}\n", - " encoder: ${encoder}\n", - " seed: 42\n", - " pretrained_weights: null\n", - " testing: true\n", - "predict:\n", - " dataset:\n", - " _target_: bliss.surveys.sdss.SloanDigitalSkySurvey\n", - " dir_path: ${paths.sdss}\n", - " fields:\n", - " - run: 2583\n", - " camcol: 2\n", - " fields:\n", - " - 136\n", - " psf_config:\n", - " pixel_scale: 0.396\n", - " psf_slen: 25\n", - " pixel_shift: 2\n", - " align_to_band: null\n", - " load_image_data: true\n", - " background_offset: 80\n", - " crop_config:\n", - " - 624\n", - " - 736\n", - " - 304\n", - " - 416\n", - " trainer:\n", - " _target_: pytorch_lightning.Trainer\n", - " accelerator: gpu\n", - " precision: ${train.trainer.precision}\n", - " encoder: ${encoder}\n", - " weight_save_path: null\n", - " device: cuda:0\n", - "\n" - ] - } - ], - "source": [ - "print(OmegaConf.to_yaml(cfg, resolve=False, sort_keys=False))" - ] - }, - { - "cell_type": "markdown", - "id": "8b09b90e", - "metadata": {}, - "source": [ - "You can browse the above printouts to get a feel for how the config is structured. Our project will eventually add some configurables and we'll have our own config similar to the above." - ] - }, - { - "cell_type": "markdown", - "id": "040ff86b", - "metadata": {}, - "source": [ - "The ```generate``` function from ```bliss/main.py``` takes arguments as\n", - "\n", - "```\n", - "def generate(gen_cfg: DictConfig):\n", - " ...\n", - "\n", - "```\n", - "\n", - "and so we can plug in a given ```DictConfig``` like the above to generate data. The true ```generate``` function is much more complex than what is given below, and helps cache previously simulated data to save time, etc. Our altered function below is used only for illustration purposes, where we'll generate a single batch of simulated data." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "8f757dfa", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'n_image_files': 16, 'n_batches_per_file': 16, 'simulator': '${simulator}', 'cached_data_path': '/data/scratch/regier/m2', 'file_prefix': 'dataset'}" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.generate" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "91a0b753", - "metadata": {}, - "outputs": [], - "source": [ - "def generate(gen_cfg: DictConfig):\n", - " simulated_dataset = instantiate(gen_cfg.simulator, num_workers=0)\n", - "\n", - " for _ in range(1):\n", - " batch = simulated_dataset.get_batch()\n", - " \n", - " return batch" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "ea8875eb", - "metadata": {}, - "outputs": [], - "source": [ - "simulated_batch_of_data = generate(cfg.generate)" - ] - }, - { - "cell_type": "markdown", - "id": "a49107fd", - "metadata": {}, - "source": [ - "Note that the 'full' configurable has three main subconfigs: `cfg.generate, cfg.train, cfg.predict`. This just helps keep things more organized. We only passed `cfg.generate` to the ```generate``` function." - ] - }, - { - "cell_type": "markdown", - "id": "f6ede728", - "metadata": {}, - "source": [ - "##### ***Running the above cell will take several minutes*** " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "5ad8088f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['tile_catalog', 'images', 'background', 'deconvolution', 'psf_params'])" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "simulated_batch_of_data.keys()" - ] - }, - { - "cell_type": "markdown", - "id": "b7b0fa5e", - "metadata": {}, - "source": [ - "The simulated batch is a ```dict``` object. These can be stored to disk in some fashion that we won't worry about right now (see ```generate``` function in ```bliss/main.py```), as we'll just work with this single batch. Let's examine some of the objects." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "80febdf8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes'])" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc = simulated_batch_of_data['tile_catalog']\n", - "tc.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "6af0fb98", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([32, 56, 56, 6, 2])" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc['locs'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "7fda619d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([32, 56, 56])" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc['n_sources'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "c7343d6f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([32, 56, 56, 6, 1])" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc['source_type'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "333e37d7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([32, 56, 56, 6, 5])" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc['galaxy_fluxes'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "27784fa8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([32, 56, 56, 6, 6])" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc['galaxy_params'].shape" - ] - }, - { - "cell_type": "markdown", - "id": "4910fbe5", - "metadata": {}, - "source": [ - "The first three dimensions of all these objects are 32 x 56 x 56. These numbers represent the following:\n", - "- 32 = number of synthetic (simulated) images\n", - "- 56 = number of tiles lengthwise\n", - "- 56 = number of tiles widthwise\n", - "\n", - "BLISS operates by dividing a given images into *tiles* of a certain size. This can be thought of as parsing the image into bite-size pieces. The number of tiles and number of images in simulated batches are controllable from the config object, e.g. " - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "bf1064cd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(32, 56, 56)" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.prior.batch_size, cfg.prior.n_tiles_h, cfg.prior.n_tiles_w" - ] - }, - { - "cell_type": "markdown", - "id": "0905ea62", - "metadata": {}, - "source": [ - "BLISS constrains the number of objects per tile to be between 0 and 5. Tiles are small enough (in terms of pixel size) to make this reasonable. Hence if we examine ```tc['n_sources']``` we see that this tensor specifies the number of sources for each tile in each image." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "7cddd276", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[0, 1, 0, ..., 0, 0, 0],\n", - " [0, 0, 3, ..., 1, 0, 1],\n", - " [0, 0, 0, ..., 0, 0, 1],\n", - " ...,\n", - " [0, 1, 0, ..., 0, 1, 0],\n", - " [0, 0, 1, ..., 0, 1, 0],\n", - " [0, 1, 0, ..., 0, 0, 1]])" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc['n_sources'][0] #56 x 56 tensor telling us the number of sources in each tile for the first image." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "c6625598", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(tensor(5), tensor(0))" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc['n_sources'].max(), tc['n_sources'].min()" - ] - }, - { - "cell_type": "markdown", - "id": "30a195f6", - "metadata": {}, - "source": [ - "Each object (or source) can be one of several different types. There are at most 5 sources per tile. Hence ```tc['source_type']``` has a per-tile shape of 5 x 1. For tile, this tells us the type of each source. If there are fewer than 5 sources, the extra information is discarded or masked somehow. This number 5 that is floating around all the other dimensions arises similarly from the fact that we have at most 5 sources per tile. We can gather from the shapes above that ```locs``` contains a 2d coordinate for each source; ```galaxy_fluxes``` contains 5 parameters for each source; ```galaxy_params``` contains 6 parameters for each source, etc. \n", - "\n", - "***All of the these are latent random variables $z$ that are used to generate the image. Given a tile catalog like the above, we have all the information necessary to generate synthetic images $x$. The inference problem is then to take an image $x$ and construct a distribution on all of these quantities $z$. In other words, given an image, we divide it into tiles and for each tile we aim to recover the number of sources, the type of each source, the locations of each, the fluxes for each, etc.***" - ] - }, - { - "cell_type": "markdown", - "id": "6d8bb321", - "metadata": {}, - "source": [ - "Let's examine a sample synthetic image below." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "9caf998f", - "metadata": {}, - "outputs": [], - "source": [ - "ims = simulated_batch_of_data['images']" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "a370684d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([32, 5, 112, 112])" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ims.shape" - ] - }, - { - "cell_type": "markdown", - "id": "6ea11845", - "metadata": {}, - "source": [ - "As expected, there are 32 images. The dimension 5 does not correspond to the number of sources per tile, but rather to the *photometric band* of each image, corresponding to u,g,r,i,z for SDSS data. Read more here: https://www.sdss4.org/instruments/camera/#Filters\n", - "\n", - "Again, these are specified in the config:" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "b20c65dd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['u', 'g', 'r', 'i', 'z']" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.prior.survey_bands" - ] - }, - { - "cell_type": "markdown", - "id": "7798b6ac", - "metadata": {}, - "source": [ - "We gather that each image for each band is 112 x 112. Recalling that we have 56 x 56 tiles, this implie that each tile is 2x2. Again, this is specified in the config." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "90191d74", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.prior.tile_slen" - ] - }, - { - "cell_type": "markdown", - "id": "6f794ed7", - "metadata": {}, - "source": [ - "Let's examine some simulated images." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "e3872beb", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(ims[0][0]) #u-band for first of 32 images" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "3aee17ae", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(ims[0][1]) #g-band for first of 32 images" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "d3120342", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(ims[0][2]) #r-band for first of 32 images" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "af18fa31", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(ims[0][3]) #i-band for first of 32 images" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "987cfe8d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(ims[0][4]) #z-band for first of 32 images" - ] - }, - { - "cell_type": "markdown", - "id": "d9a2f325", - "metadata": {}, - "source": [ - "We notice that some objects appear not to show up in some bands, or appear more faint in some bands than others. This is normal: objects emit light at different wavelengths, and so in some wavelength ranges (e.g. a particular band) an object may not appear to be visible at all." - ] - }, - { - "cell_type": "markdown", - "id": "f7840f63", - "metadata": {}, - "source": [ - "We won't worry about the other latent variables for now (given again below). More detail on these can be explored on a project-by-project basis." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "e4b48546", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['tile_catalog', 'images', 'background', 'deconvolution', 'psf_params'])" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "simulated_batch_of_data.keys()" - ] - }, - { - "cell_type": "markdown", - "id": "8207c586", - "metadata": {}, - "source": [ - "#### 2. Training the encoder" - ] - }, - { - "cell_type": "markdown", - "id": "8448575d", - "metadata": {}, - "source": [ - "The encoder $q_\\phi(z \\mid x)$ learns a *variational distribution* on $z$ conditional on an observed $x$. We use machine learning and amortization to automate this process: given any $x$, we get a distribution on $z$ by putting $x$ through a neural network (whose parameters are $\\phi$). For us, $z$ is a complex object, consisting of all the parameters in the tile catalog above (or more). \n", - "\n", - "The training objective is quite simple, and is given by\n", - "\n", - "$$\n", - "\\max_\\phi \\mathbb{E}_{p(z,x)} \\log q_\\phi(z \\mid x)\n", - "$$\n", - "\n", - "in other words, maximize the variational density across all $z,x$ from the generative model $p(z,x)$. For us, the generative model is given by \n", - "\n", - "$$\n", - "p(z,x) = p(z) p(x \\mid x)\n", - "$$\n", - "\n", - "where $p(z)$ is the prior, and $p(x \\mid x)$ generats images from the prior. We won't focus much at all on $p(z \\mid x)$. Rather, we'll focus on the prior, and we will alter the tile catalog $z$ (e.g., to include new parameters such as redshift). The information for the prior is again given by the config:" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "982b24f3", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "_target_: bliss.simulator.prior.CatalogPrior\n", - "survey_bands:\n", - "- u\n", - "- g\n", - "- r\n", - "- i\n", - "- z\n", - "reference_band: 2\n", - "star_color_model_path: /home/declan/current/bliss/data/sdss/color_models/star_gmm_nmgy.pkl\n", - "gal_color_model_path: /home/declan/current/bliss/data/sdss/color_models/gal_gmm_nmgy.pkl\n", - "n_tiles_h: 56\n", - "n_tiles_w: 56\n", - "tile_slen: 2\n", - "batch_size: 32\n", - "max_sources: 6\n", - "mean_sources: 0.48\n", - "min_sources: 0\n", - "prob_galaxy: 0.0\n", - "star_flux_exponent: 0.9859821185389767\n", - "star_flux_truncation: 5685.588160703261\n", - "star_flux_loc: -1.162430157551662\n", - "star_flux_scale: 1.4137911256506595\n", - "galaxy_flux_truncation: 1013\n", - "galaxy_flux_exponent: 0.47\n", - "galaxy_flux_scale: 0.6301037\n", - "galaxy_flux_loc: 0.0\n", - "galaxy_a_concentration: 0.39330758068481686\n", - "galaxy_a_loc: 0.8371888967872619\n", - "galaxy_a_scale: 4.432725319432478\n", - "galaxy_a_bd_ratio: 2.0\n", - "\n" - ] - } - ], - "source": [ - "print(OmegaConf.to_yaml(cfg.prior, resolve=False, sort_keys=False))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "ce02eaeb", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2.0" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.prior.galaxy_a_bd_ratio" - ] - }, - { - "cell_type": "markdown", - "id": "a7a77410", - "metadata": {}, - "source": [ - "These numbers can be considered as hyperparameters that define the prior. We don't actually need to infer these numbers precisely. Rather, for a tile catalog $z$ sampled from the prior $p(z)$, we want to infer $z$ given its corresponding image $x$.\n", - "\n", - "Training is performed using the ```train``` function from ```bliss/main.py```. As above, we pass `cfg.train` to the `train` function, which is reproduced below (with some lines omitted)." - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "b74eb45b", - "metadata": {}, - "outputs": [], - "source": [ - "def train(train_cfg: DictConfig):\n", - " # setup seed\n", - " pl.seed_everything(train_cfg.seed)\n", - "\n", - " # setup dataset, encoder, and trainer\n", - " dataset = instantiate(train_cfg.data_source)\n", - " encoder = instantiate(train_cfg.encoder)\n", - " trainer = instantiate(train_cfg.trainer)\n", - "\n", - " # train!\n", - " trainer.fit(encoder, datamodule=dataset)\n" - ] - }, - { - "cell_type": "markdown", - "id": "7ffdb56d", - "metadata": {}, - "source": [ - "Let's examine the three main objects that the training procedure evidently uses: a dataset, an encoder, and a trainer. Again, these are all specified by the config, and instatiated in the train function above." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "082c1cde", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'_target_': 'bliss.simulator.simulated_dataset.CachedSimulatedDataset', 'batch_size': 23, 'splits': '0:80/80:90/90:100', 'num_workers': 0, 'cached_data_path': '/data/scratch/regier/m2', 'file_prefix': '${generate.file_prefix}'}" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.train.data_source" - ] - }, - { - "cell_type": "markdown", - "id": "1b3d3795", - "metadata": {}, - "source": [ - "We see that the data-source is a cached dataset. In other words, lots of saved $z,x$ pairs from the generative model $p(z,x)$ that have been written to disk previously. These are used to fit the objective function approximately, e.g.\n", - "\n", - "$$\n", - "\\max_\\phi \\frac{1}{n} \\sum_{i=1}^n \\log q_\\phi(z_i \\mid x_i)\n", - "$$\n", - "\n", - "where $n$ is the number of cached $z,x$ pairs that have been saved. For us, we only have one pair of $z,x$. We'll evidently need to convert these to type `CachedSimulatedDataset` to fit in with the framework." - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "fb11887d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'_target_': 'bliss.encoder.encoder.Encoder', 'survey_bands': ['u', 'g', 'r', 'i', 'z'], 'tile_slen': 2, 'tiles_to_crop': 1, 'min_flux_threshold': 0.9419, 'optimizer_params': {'lr': 0.001}, 'scheduler_params': {'milestones': [32], 'gamma': 0.1}, 'image_normalizer': {'_target_': 'bliss.encoder.image_normalizer.ImageNormalizer', 'bands': [2], 'include_original': False, 'use_deconv_channel': False, 'concat_psf_params': False, 'num_psf_params': 6, 'log_transform_stdevs': [-3, 0, 1, 3], 'use_clahe': True, 'clahe_min_stdev': 200}, 'vd_spec': {'_target_': 'bliss.encoder.variational_dist.VariationalDistSpec', 'survey_bands': '${encoder.survey_bands}', 'tile_slen': '${encoder.tile_slen}'}, 'matcher': {'_target_': 'bliss.encoder.metrics.CatalogMatcher', 'dist_slack': 0.5, 'mag_slack': 0.5, 'mag_band': 2}, 'metrics': {'_target_': 'torchmetrics.MetricCollection', 'metrics': [{'_target_': 'bliss.encoder.metrics.DetectionPerformance', 'mag_bin_cutoffs': [19, 19.4, 19.8, 20.2, 20.6, 21, 21.4, 21.8, 22.065], 'exclude_last_bin': True}]}, 'do_data_augmentation': False, 'compile_model': False, 'double_detect': True, 'use_checkerboard': True}" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.train.encoder" - ] - }, - { - "cell_type": "markdown", - "id": "930eab00", - "metadata": {}, - "source": [ - "All these configurables will instantiate an `Encoder` object. This object will perform the function described above, i.e. given an image $x$ it will give us a distribution on the tile catalog $z$. " - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "f4e4a182", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'_target_': 'pytorch_lightning.Trainer', 'logger': {'_target_': 'pytorch_lightning.loggers.TensorBoardLogger', 'save_dir': '${paths.output}', 'name': None, 'version': None, 'default_hp_metric': False}, 'callbacks': [{'_target_': 'pytorch_lightning.callbacks.ModelCheckpoint', 'filename': 'best_encoder', 'save_top_k': 1, 'verbose': True, 'monitor': 'val/_loss', 'mode': 'min', 'save_on_train_epoch_end': False, 'auto_insert_metric_name': False}, {'_target_': 'pytorch_lightning.callbacks.early_stopping.EarlyStopping', 'monitor': 'val/_loss', 'mode': 'min', 'patience': 5}], 'reload_dataloaders_every_n_epochs': 0, 'check_val_every_n_epoch': 1, 'log_every_n_steps': 10, 'min_epochs': 1, 'max_epochs': 50, 'accelerator': 'gpu', 'devices': 1, 'precision': '16-mixed'}" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.train.trainer" - ] - }, - { - "cell_type": "markdown", - "id": "0f74037e", - "metadata": {}, - "source": [ - "The trainer evidently wraps up the training procedure with lots of information about logging, checkpoints, metrics, etc. We won't worry so much about this for now." - ] - }, - { - "cell_type": "markdown", - "id": "9d8d6908", - "metadata": {}, - "source": [ - "Our simplified version of training for illustrative purposes will try to unwrap some of the abstraction above. Let's first instantiate the encodeer so we can examine it." - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "79121201", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Encoder(\n", - " (image_normalizer): ImageNormalizer()\n", - " (vd_spec): VariationalDistSpec()\n", - " (mode_metrics): MetricCollection(\n", - " (DetectionPerformance): DetectionPerformance()\n", - " )\n", - " (sample_metrics): MetricCollection(\n", - " (DetectionPerformance): DetectionPerformance()\n", - " )\n", - " (features_net): FeaturesNet(\n", - " (preprocess3d): Sequential(\n", - " (0): Conv3d(1, 64, kernel_size=(6, 5, 5), stride=(1, 1, 1), padding=(0, 2, 2))\n", - " (1): BatchNorm3d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", - " (2): SiLU()\n", - " )\n", - " (backbone): Sequential(\n", - " (0): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (1): Sequential(\n", - " (0): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (3): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): ConvBlock(\n", - " (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (3): Sequential(\n", - " (0): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (3): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (4): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (4): ConvBlock(\n", - " (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " (marginal_net): CatalogNet(\n", - " (net_ml): ModuleList(\n", - " (0): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (3): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (4): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (5): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (3): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (4): Upsample(scale_factor=2.0, mode='nearest')\n", - " (5): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (6): Detect(\n", - " (conv): Conv2d(256, 38, kernel_size=(1, 1), stride=(1, 1))\n", - " )\n", - " )\n", - " )\n", - " (checkerboard_net): ContextNet(\n", - " (encode_context): Sequential(\n", - " (0): ConvBlock(\n", - " (conv): Conv2d(2, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): ConvBlock(\n", - " (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(64, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (merge): ConvBlock(\n", - " (conv): Conv2d(320, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (catalog_net): CatalogNet(\n", - " (net_ml): ModuleList(\n", - " (0): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (3): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (4): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (5): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (3): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (4): Upsample(scale_factor=2.0, mode='nearest')\n", - " (5): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (6): Detect(\n", - " (conv): Conv2d(256, 38, kernel_size=(1, 1), stride=(1, 1))\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (second_net): CatalogNet(\n", - " (net_ml): ModuleList(\n", - " (0): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (3): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (4): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (5): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (1): ConvBlock(\n", - " (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (2): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(512, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (3): ConvBlock(\n", - " (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (4): Upsample(scale_factor=2.0, mode='nearest')\n", - " (5): C3(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(768, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv3): ConvBlock(\n", - " (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(256, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (m): Sequential(\n", - " (0): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (1): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " (2): Bottleneck(\n", - " (cv1): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " (cv2): ConvBlock(\n", - " (conv): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", - " (bn): BatchNorm2d(128, eps=0.001, momentum=0.03, affine=True, track_running_stats=True)\n", - " (activation): SiLU(inplace=True)\n", - " )\n", - " )\n", - " )\n", - " )\n", - " (6): Detect(\n", - " (conv): Conv2d(256, 38, kernel_size=(1, 1), stride=(1, 1))\n", - " )\n", - " )\n", - " )\n", - ")" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "encoder = instantiate(cfg.train.encoder)\n", - "encoder" - ] - }, - { - "cell_type": "markdown", - "id": "13482ce9", - "metadata": {}, - "source": [ - "If you're familiar with PyTorch, you'll recognize that the encoder essentially is a huge neural network as described above, with some fancy preprocessing, normalization, metrics, etc. Let's examine some of the Encoder object's methods, which are reproduced below." - ] - }, - { - "cell_type": "markdown", - "id": "70982c2d", - "metadata": {}, - "source": [ - "```\n", - "def _single_detection_nll(self, target_cat, pred):\n", - " marginal_loss = pred[\"marginal\"].compute_nll(target_cat)\n", - "\n", - " if not self.use_checkerboard:\n", - " return marginal_loss\n", - "\n", - " white_loss = pred[\"white\"].compute_nll(target_cat)\n", - " white_loss_mask = 1 - pred[\"white_history_mask\"]\n", - " white_loss *= white_loss_mask\n", - "\n", - " black_loss = pred[\"black\"].compute_nll(target_cat)\n", - " black_loss_mask = pred[\"white_history_mask\"]\n", - " black_loss *= black_loss_mask\n", - "\n", - " # we divide by two because we score two predictions for each tile\n", - " return (marginal_loss + white_loss + black_loss) / 2\n", - "\n", - " def _double_detection_nll(self, target_cat1, target_cat, pred):\n", - " target_cat2 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=1)\n", - "\n", - " nll_marginal_z1 = self._single_detection_nll(target_cat1, pred)\n", - " nll_cond_z2 = pred[\"second\"].compute_nll(target_cat2)\n", - " nll_marginal_z2 = self._single_detection_nll(target_cat2, pred)\n", - " nll_cond_z1 = pred[\"second\"].compute_nll(target_cat1)\n", - "\n", - " none_mask = target_cat.n_sources == 0\n", - " loss0 = nll_marginal_z1 * none_mask\n", - "\n", - " one_mask = target_cat.n_sources == 1\n", - " loss1 = (nll_marginal_z1 + nll_cond_z2) * one_mask\n", - "\n", - " two_mask = target_cat.n_sources >= 2\n", - " loss2a = nll_marginal_z1 + nll_cond_z2\n", - " loss2b = nll_marginal_z2 + nll_cond_z1\n", - " lse_stack = torch.stack([loss2a, loss2b], dim=-1)\n", - " loss2_unmasked = -torch.logsumexp(-lse_stack, dim=-1)\n", - " loss2 = loss2_unmasked * two_mask\n", - "\n", - " return loss0 + loss1 + loss2\n", - "```\n", - "\n", - "Here, NLL stands for negative log likelihood, and for us this corresponds to $-\\log q_\\phi(z \\mid x)$. We try to minimize this quantity, equivalent to maximizing the negative of it as we formulated above. Let's compute the NLL loss for the encoder. This should be poor because the encoder has been initialized only, not trained at all. The following code snippets are adapated from the `_compute_loss` function of the `Encoder` class in `bliss/encoder/encoder.py`." - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "ece21c05", - "metadata": {}, - "outputs": [], - "source": [ - "batch = simulated_batch_of_data #renaming to something shorter\n", - "batch_size = batch[\"images\"].size(0)\n", - "target_cat = TileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "d90c7973", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "TileCatalog(32 x 56 x 56)" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "target_cat" - ] - }, - { - "cell_type": "markdown", - "id": "72c693fb", - "metadata": {}, - "source": [ - "The object `target_cat` is the \"target catalog\" of interest. It's of type TileCatalog that we create from the simulated batch." - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "30a83498", - "metadata": {}, - "outputs": [], - "source": [ - "# filter out undetectable sources\n", - "target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - "\n", - "# make predictions/inferences\n", - "target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)\n", - "truth_callback = lambda _: target_cat1\n", - "pred = encoder.infer(batch, truth_callback)" - ] - }, - { - "cell_type": "markdown", - "id": "77cbaa92", - "metadata": {}, - "source": [ - "The above code performs some preprocessing on a per-tile basis to eliminate dim objects, etc. We don't need to understand all the details right now. The `infer` method of the `Encoder` object on the last line operates directly on the images of the batch i.e. `batch['images']`. It is a complex method that splits the image into tiles that are designated as white or black in a 'checkerboard' scheme --- this scheme helps with detection of objects at tile boundaries, which is a complex problem in its own right. We don't really need to understand the details of how all of this works for now. We do want to at least understand the form of the resulting object, which is stored in variable `pred`." - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "35296f8c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['x_features', 'marginal', 'history_cat', 'white_history_mask', 'white', 'black', 'second'])" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "id": "cb97ba8c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "VariationalDist()" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred['marginal']" - ] - }, - { - "cell_type": "markdown", - "id": "37ed9627", - "metadata": {}, - "source": [ - "The resulting `VariationalDist` will be used to compute\n", - "\n", - "$$\n", - "- \\log q_\\phi(z \\mid x).\n", - "$$\n", - "\n", - "Recall $z$ is the `target_cat` of type `TileCatalog`. Because we're generating synthetic data, the latent variable $z$ is not hidden, but known. The $x$ is given by the images from `batch['images']`, and these are operated on by the `infer` method of the encoder. The resulting computations yield the objects in `pred.keys()` above, which can be used to compute $-\\log q_\\phi(z \\mid x)$ for this particular data batch. Rather than using the functions `_single_detection_nll` and `_double_detection_nll`, we could use the `compute_nll` method of the `VariationalDist` class. We'll do this for ease here." - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "id": "d964b10c", - "metadata": {}, - "outputs": [], - "source": [ - "loss = pred['marginal'].compute_nll(target_cat1)" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "id": "916ff8ad", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([32, 56, 56])" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "loss.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "id": "b48ddc06", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor(16.8119, grad_fn=)" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "loss.mean()" - ] - }, - { - "cell_type": "markdown", - "id": "2c3534e9", - "metadata": {}, - "source": [ - "Loss is evidently computed on a per-image per-tile basis. We'll average across all of these because they all deserve equal weighting in our toy setup here. Now that we've illustrated how to compute the loss, let's wrap this all into a training loop to fit the encoder. We'll fit by optimizing the parameters directly rather than wrapping the procedure into a PyTorch Lightning routine as is done in the true BLISS code. \n", - "\n", - "This is extremely simplistic: we have a single batch of data $z,x$ that we generated above. Nevertheless, in the training loop below, we still redefine/recompute `pred` and the target catalogs. In a true training procedure with many different batches of images, this would need to be done within the loop because we'll have a different batch of images every time." - ] - }, - { - "cell_type": "markdown", - "id": "9da8cdfc", - "metadata": {}, - "source": [ - "***Cell below runs very slow because all CPU. True codebase is optimized to GPU. Naive use of GPU below will lead to out of memory error.***" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "id": "ce0df9cc", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Iteration 0: Loss 16.811948776245117\n", - "Iteration 10: Loss 6.598885536193848\n", - "Iteration 20: Loss 5.9178547859191895\n", - "Iteration 30: Loss 5.234957218170166\n", - "Iteration 40: Loss 4.901239395141602\n", - "Iteration 50: Loss 4.73112154006958\n", - "Iteration 60: Loss 4.614767551422119\n", - "Iteration 70: Loss 4.516098499298096\n", - "Iteration 80: Loss 4.427545547485352\n", - "Iteration 90: Loss 4.342630386352539\n", - "Iteration 100: Loss 4.261025905609131\n", - "Iteration 110: Loss 4.1851487159729\n", - "Iteration 120: Loss 4.108051776885986\n", - "Iteration 130: Loss 4.046842098236084\n", - "Iteration 140: Loss 3.957535982131958\n" - ] - }, - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[53], line 20\u001b[0m\n\u001b[1;32m 18\u001b[0m optimizer\u001b[38;5;241m.\u001b[39mzero_grad()\n\u001b[1;32m 19\u001b[0m loss \u001b[38;5;241m=\u001b[39m loss \u001b[38;5;241m=\u001b[39m pred[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmarginal\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mcompute_nll(target_cat1)\u001b[38;5;241m.\u001b[39mmean()\n\u001b[0;32m---> 20\u001b[0m \u001b[43mloss\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 21\u001b[0m optimizer\u001b[38;5;241m.\u001b[39mstep()\n\u001b[1;32m 23\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m%\u001b[39m \u001b[38;5;241m10\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n", - "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/_tensor.py:487\u001b[0m, in \u001b[0;36mTensor.backward\u001b[0;34m(self, gradient, retain_graph, create_graph, inputs)\u001b[0m\n\u001b[1;32m 477\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m has_torch_function_unary(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 478\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m handle_torch_function(\n\u001b[1;32m 479\u001b[0m Tensor\u001b[38;5;241m.\u001b[39mbackward,\n\u001b[1;32m 480\u001b[0m (\u001b[38;5;28mself\u001b[39m,),\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 485\u001b[0m inputs\u001b[38;5;241m=\u001b[39minputs,\n\u001b[1;32m 486\u001b[0m )\n\u001b[0;32m--> 487\u001b[0m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mautograd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 488\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgradient\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mretain_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreate_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minputs\u001b[49m\n\u001b[1;32m 489\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/current/bliss/.venv/lib/python3.10/site-packages/torch/autograd/__init__.py:200\u001b[0m, in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables, inputs)\u001b[0m\n\u001b[1;32m 195\u001b[0m retain_graph \u001b[38;5;241m=\u001b[39m create_graph\n\u001b[1;32m 197\u001b[0m \u001b[38;5;66;03m# The reason we repeat same the comment below is that\u001b[39;00m\n\u001b[1;32m 198\u001b[0m \u001b[38;5;66;03m# some Python versions print out the first line of a multi-line function\u001b[39;00m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;66;03m# calls in the traceback and some print out the last line\u001b[39;00m\n\u001b[0;32m--> 200\u001b[0m \u001b[43mVariable\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execution_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_backward\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# Calls into the C++ engine to run the backward pass\u001b[39;49;00m\n\u001b[1;32m 201\u001b[0m \u001b[43m \u001b[49m\u001b[43mtensors\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgrad_tensors_\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mretain_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreate_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 202\u001b[0m \u001b[43m \u001b[49m\u001b[43mallow_unreachable\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccumulate_grad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], - "source": [ - "niter = 300\n", - "optimizer = torch.optim.Adam(encoder.parameters(), lr=1e-3)\n", - "for i in range(niter):\n", - " # Many of the lines below are redundant because we have a single batch\n", - " # so quantities don't change.\n", - " \n", - " target_cat = TileCatalog(encoder.tile_slen, batch[\"tile_catalog\"])\n", - " # filter out undetectable sources\n", - " if encoder.min_flux_threshold > 0:\n", - " target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - "\n", - " # make predictions/inferences\n", - " target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)\n", - " truth_callback = lambda _: target_cat1\n", - " pred = encoder.infer(batch, truth_callback)\n", - " \n", - " # Main gradient step code\n", - " optimizer.zero_grad()\n", - " loss = loss = pred['marginal'].compute_nll(target_cat1).mean()\n", - " loss.backward()\n", - " optimizer.step()\n", - " \n", - " if i % 10 == 0:\n", - " print('Iteration {}: Loss {}'.format(i, loss.item()))\n", - " " - ] - }, - { - "cell_type": "markdown", - "id": "a47b2447", - "metadata": {}, - "source": [ - "The training procedure above is very rough: there's no learning rate tuning, scheduling, etc., and we don't run fitting procedure all the way to convergence due to time constraints. Nevertheless, this is enough to get a feel for how fitting the encoder should generally go. In actuality, however, a lot of this will be abstracted away within PyTorch lightning procedures." - ] - }, - { - "cell_type": "markdown", - "id": "af17600a", - "metadata": {}, - "source": [ - "We want to see how the encoder is doing. Recall we just have a single data pair $z,x$ that we've been training with. It's a reasonable expectation that with enough training time our encoder should learn to output the correct $z$ given $x$ as an input. Let's check it out. We do this by using the `sample` method of the encoder. We'll simply take the posterior mode for now, i.e. the mode of the distribution $q_\\phi(z \\mid x)$, but we could generate more diverse samples from the actual distribution if desired." - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "id": "e163ae4e", - "metadata": {}, - "outputs": [], - "source": [ - "posterior_mode = encoder.sample(batch, use_mode=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "075bd046", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "bliss.catalog.TileCatalog" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(posterior_mode)" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "id": "2952e89d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['tile_slen', 'locs', 'n_sources', 'batch_size', 'n_tiles_h', 'n_tiles_w', 'max_sources', 'data'])" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vars(posterior_mode).keys()" - ] - }, - { - "cell_type": "markdown", - "id": "6be8bae7", - "metadata": {}, - "source": [ - "Let's compare the posterior model to the true target catalog $z$, which is the variable `target_cat` after wrapping up in this object." - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "id": "e461aff7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(torch.Size([32, 54, 54]), torch.Size([32, 56, 56]))" - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "posterior_mode.n_sources.shape, target_cat.n_sources.shape" - ] - }, - { - "cell_type": "markdown", - "id": "9d12a901", - "metadata": {}, - "source": [ - "BLISS usually omits border tiles. We'll want to do the same when we look at the target catalog for evaluation." - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "id": "4d4c4959", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(torch.Size([32, 54, 54]), torch.Size([32, 54, 54]))" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "posterior_mode.n_sources.shape, target_cat.n_sources[:,1:-1,1:-1, ...].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "id": "454ea679", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor(0.5619)" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "1.-(posterior_mode.n_sources != target_cat.n_sources[:,1:-1,1:-1, ...]).sum()/(32*54*54)" - ] - }, - { - "cell_type": "markdown", - "id": "d57514da", - "metadata": {}, - "source": [ - "The line above tells use that the posterior mode has the correct number of sources in about 56% of tiles across the 32 images in our batch. This number would be much higher if we trained longer. Note that the variational distribution constrains us to have at most 2 sources per tile, so it's not surprising that some are wrong." - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "id": "019360c7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor(0.9394)" - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "1.-(torch.abs(posterior_mode.n_sources - target_cat.n_sources[:,1:-1,1:-1, ...]) > 1).sum()/(32*54*54)" - ] - }, - { - "cell_type": "markdown", - "id": "f88d6568", - "metadata": {}, - "source": [ - "The line above tells us that in 94% of tiles in our 32 images, the number of sources detected differs from the true number of sources by no more than 1. In other words, even when the number of sources is wrong, it's usually off by no more than 1, calling mistaking 3 sources for 2, for example." - ] - }, - { - "cell_type": "markdown", - "id": "89967dd2", - "metadata": {}, - "source": [ - "We can see if locations look approximately correct. Let's just look at a single tile, the first tile of the first image. Recall we need to omit the border tiles from the target catalog." - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "id": "74285c0a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(torch.Size([32, 54, 54, 2, 2]), torch.Size([32, 56, 56, 6, 2]))" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "posterior_mode.locs.shape, target_cat.locs.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "id": "a4297a5d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[0.5239, 0.4951],\n", - " [0.4982, 0.4801]], grad_fn=)" - ] - }, - "execution_count": 62, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "posterior_mode.locs[0][0][0]" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "id": "8dcd33c0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[0., 0.],\n", - " [0., 0.],\n", - " [0., 0.],\n", - " [0., 0.],\n", - " [0., 0.],\n", - " [0., 0.]])" - ] - }, - "execution_count": 63, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "target_cat.locs[:,1:-1,1:-1,...][0][0][0]" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "id": "9caf87b9", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor(0)" - ] - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "target_cat.n_sources[:,1:-1,1:-1, ...][0][0][0]" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "id": "fd2a81dd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor(1)" - ] - }, - "execution_count": 65, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "posterior_mode.n_sources[0][0][0]" - ] - }, - { - "cell_type": "markdown", - "id": "42c472f3", - "metadata": {}, - "source": [ - "The true catalog says there's no sources in this particular tile, hence the coordinates for all (at most 5) potential sources are zeroed out. It looks initially like the posterior mode thinks there's two sources, because these coordinates are non-zero. However, if we check the n_sources attribute the number of sources is actually predicted to be 1. This is a quirk of the variational distribution: in the calculation of the NLL, we only account for the number of sources detected. If zero are detected and there truly are zero, for example, the locations don't factor into the NLL." - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "id": "9971b1ef", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor(1)" - ] - }, - "execution_count": 80, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "target_cat.n_sources[:,1:-1,1:-1, ...][0][1][-10]" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "id": "66d681dc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor(0)" - ] - }, - "execution_count": 81, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "posterior_mode.n_sources[0][1][-10]" - ] - }, - { - "cell_type": "markdown", - "id": "b4e86b5f", - "metadata": {}, - "source": [ - "Now we found a tile with 2 sources. Let's look at locations for these." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "201443ff", - "metadata": {}, - "outputs": [], - "source": [ - "target_cat.locs[:,1:-1,1:-1,...][0][2][-1]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d124ab76", - "metadata": {}, - "outputs": [], - "source": [ - "posterior_mode.locs[0][2][-1]" - ] - }, - { - "cell_type": "markdown", - "id": "521c6548", - "metadata": {}, - "source": [ - "Not particularly close, suggesting maybe more training is needed. Let's find a tile where we're a bit closer." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "55fcb5fe", - "metadata": {}, - "outputs": [], - "source": [ - "target_cat.n_sources[:,1:-1,1:-1, ...][-1][-1][0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7d47722f", - "metadata": {}, - "outputs": [], - "source": [ - "posterior_mode.n_sources[-1][-1][0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c9c12b8f", - "metadata": {}, - "outputs": [], - "source": [ - "target_cat.locs[:,1:-1,1:-1,...][-1][-1][0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f3f80ecf", - "metadata": {}, - "outputs": [], - "source": [ - "posterior_mode.locs[-1][-1][0]" - ] - }, - { - "cell_type": "markdown", - "id": "612b930b", - "metadata": {}, - "source": [ - "We detected one source in this tile and were correct: it's located at 0.7778,.9750. We predict it to be at .7026, .9352 which is kind of close, but still would ideally be better (remember the second line is ignored because we predict only a single source)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ef15295a", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/tutorials/2-ImageGeneration.ipynb b/case_studies/redshift_estimation/notebooks/tutorials/2-ImageGeneration.ipynb deleted file mode 100644 index 18ffcd87b..000000000 --- a/case_studies/redshift_estimation/notebooks/tutorials/2-ImageGeneration.ipynb +++ /dev/null @@ -1,945 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "ce3c3ec4", - "metadata": {}, - "source": [ - "### Outline" - ] - }, - { - "cell_type": "markdown", - "id": "a6eb35f7", - "metadata": {}, - "source": [ - "#### 1. Generation of synthetic data." - ] - }, - { - "cell_type": "markdown", - "id": "d388caa8", - "metadata": {}, - "source": [ - "This would typically be done using something like ```bliss mode=generate``` from the command line. This calls the ```generate``` function within ```bliss/main.py```, using the default ```DictConfig``` object specified by the various ```.yaml``` files." - ] - }, - { - "cell_type": "markdown", - "id": "c48503ee", - "metadata": {}, - "source": [ - "The code below loads the file ```redshift.yaml``` from ```case_studies/redshift_estimation``` as a DictConfig for use by ```hydra```. You may have to change some absolute and relative paths to get this to load for you." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "8163d060", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "2122d016", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/home/declan/current/bliss'" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "os.getcwd()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "081900bd", - "metadata": {}, - "outputs": [], - "source": [ - "os.chdir('/home/declan/current/bliss')" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "04657ad2", - "metadata": {}, - "outputs": [], - "source": [ - "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", - "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", - "import torch\n", - "import numpy as np\n", - "from os import environ\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from hydra.utils import instantiate\n", - "import matplotlib.pyplot as plt\n", - "from omegaconf import DictConfig, OmegaConf\n", - "from bliss.catalog import TileCatalog" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "c071ab00", - "metadata": {}, - "outputs": [], - "source": [ - "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", - "with initialize(config_path=\"../\", version_base=None):\n", - " cfg = compose(\"redshift\", overrides={\"surveys.sdss.load_image_data=true\"})" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "e0fbff62", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "omegaconf.dictconfig.DictConfig" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(cfg)" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "031aed62", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "paths:\n", - " root: ${oc.env:BLISS_HOME}\n", - " data: ${paths.root}/data\n", - " sdss: ${paths.data}/sdss\n", - " decals: ${paths.data}/decals\n", - " des: ${paths.data}/des\n", - " dc2: ${paths.data}/dc2\n", - " output: ${paths.root}/output\n", - " pretrained_models: ${paths.data}/pretrained_models\n", - "prior:\n", - " _target_: case_studies.redshift_estimation.prior.RedshiftPrior\n", - " survey_bands:\n", - " - u\n", - " - g\n", - " - r\n", - " - i\n", - " - z\n", - " reference_band: 2\n", - " star_color_model_path: ${simulator.survey.dir_path}/color_models/star_gmm_nmgy.pkl\n", - " gal_color_model_path: ${simulator.survey.dir_path}/color_models/gal_gmm_nmgy.pkl\n", - " n_tiles_h: 20\n", - " n_tiles_w: 20\n", - " tile_slen: 4\n", - " batch_size: 64\n", - " max_sources: 1\n", - " mean_sources: 0.2\n", - " min_sources: 0\n", - " prob_galaxy: 0.72\n", - " star_flux_exponent: 0.43\n", - " star_flux_truncation: 640\n", - " star_flux_loc: 0.0\n", - " star_flux_scale: 0.63094948\n", - " galaxy_flux_truncation: 1013\n", - " galaxy_flux_exponent: 0.47\n", - " galaxy_flux_scale: 0.6301037\n", - " galaxy_flux_loc: 0.0\n", - " galaxy_a_concentration: 0.39330758068481686\n", - " galaxy_a_loc: 0.8371888967872619\n", - " galaxy_a_scale: 4.432725319432478\n", - " galaxy_a_bd_ratio: 2.0\n", - " redshift_min: 0.99\n", - " redshift_max: 1.01\n", - "simulator:\n", - " _target_: case_studies.redshift_estimation.simulated_dataset.RedshiftSimulatedDataset\n", - " survey: ${surveys.sdss}\n", - " prior: ${prior}\n", - " n_batches: 128\n", - " use_coaddition: false\n", - " coadd_depth: 1\n", - " num_workers: 32\n", - " valid_n_batches: 10\n", - " fix_validation_set: true\n", - "cached_simulator:\n", - " _target_: bliss.simulator.simulated_dataset.CachedSimulatedDataset\n", - " batch_size: 32\n", - " splits: 0:80/80:90/90:100\n", - " num_workers: 0\n", - " cached_data_path: /data/scratch/declan/redshift_estimation\n", - " file_prefix: ${generate.file_prefix}\n", - "encoder:\n", - " _target_: bliss.encoder.encoder.Encoder\n", - " survey_bands:\n", - " - u\n", - " - g\n", - " - r\n", - " - i\n", - " - z\n", - " tile_slen: ${simulator.prior.tile_slen}\n", - " tiles_to_crop: 1\n", - " min_flux_threshold: 0\n", - " optimizer_params:\n", - " lr: 0.001\n", - " scheduler_params:\n", - " milestones:\n", - " - 32\n", - " gamma: 0.1\n", - " image_normalizer:\n", - " _target_: bliss.encoder.image_normalizer.ImageNormalizer\n", - " bands:\n", - " - 0\n", - " - 1\n", - " - 2\n", - " - 3\n", - " - 4\n", - " include_original: false\n", - " use_deconv_channel: false\n", - " concat_psf_params: false\n", - " num_psf_params: 6\n", - " log_transform_stdevs:\n", - " - -3\n", - " - 0\n", - " - 1\n", - " - 3\n", - " use_clahe: true\n", - " clahe_min_stdev: 200\n", - " vd_spec:\n", - " _target_: case_studies.redshift_estimation.variational_dist.RedshiftVariationalDistSpec\n", - " survey_bands: ${encoder.survey_bands}\n", - " tile_slen: ${encoder.tile_slen}\n", - " matcher:\n", - " _target_: bliss.encoder.metrics.CatalogMatcher\n", - " dist_slack: 1.0\n", - " mag_slack: null\n", - " mag_band: 2\n", - " metrics:\n", - " _target_: torchmetrics.MetricCollection\n", - " metrics:\n", - " - _target_: bliss.encoder.metrics.DetectionPerformance\n", - " mag_bin_cutoffs:\n", - " - 19\n", - " - 19.4\n", - " - 19.8\n", - " - 20.2\n", - " - 20.6\n", - " - 21\n", - " - 21.4\n", - " - 21.8\n", - " - _target_: bliss.encoder.metrics.SourceTypeAccuracy\n", - " - _target_: bliss.encoder.metrics.FluxError\n", - " survey_bands: ${encoder.survey_bands}\n", - " - _target_: bliss.encoder.metrics.GalaxyShapeError\n", - " do_data_augmentation: false\n", - " compile_model: false\n", - " double_detect: false\n", - " use_checkerboard: false\n", - "surveys:\n", - " sdss:\n", - " _target_: bliss.surveys.sdss.SloanDigitalSkySurvey\n", - " dir_path: ${paths.sdss}\n", - " fields:\n", - " - run: 94\n", - " camcol: 1\n", - " fields:\n", - " - 12\n", - " psf_config:\n", - " pixel_scale: 0.396\n", - " psf_slen: 25\n", - " pixel_shift: 2\n", - " align_to_band: null\n", - " load_image_data: true\n", - " decals:\n", - " _target_: bliss.surveys.decals.DarkEnergyCameraLegacySurvey\n", - " dir_path: ${paths.decals}\n", - " sky_coords:\n", - " - ra: 336.6643042496718\n", - " dec: -0.9316385797930247\n", - " bands:\n", - " - 0\n", - " - 1\n", - " - 3\n", - " psf_config:\n", - " pixel_scale: 0.262\n", - " psf_slen: 63\n", - " pixel_shift: 2\n", - " des:\n", - " _target_: bliss.surveys.des.DarkEnergySurvey\n", - " dir_path: ${paths.des}\n", - " image_ids:\n", - " - sky_coord:\n", - " ra: 336.6643042496718\n", - " dec: -0.9316385797930247\n", - " decals_brickname: 3366m010\n", - " ccdname: S28\n", - " g: decam/CP/V4.8.2a/CP20171108/c4d_171109_002003_ooi_g_ls9\n", - " r: decam/CP/V4.8.2a/CP20170926/c4d_170927_025457_ooi_r_ls9\n", - " i: ''\n", - " z: decam/CP/V4.8.2a/CP20170926/c4d_170927_025655_ooi_z_ls9\n", - " psf_config:\n", - " pixel_scale: 0.262\n", - " psf_slen: 63\n", - " pixel_shift: 2\n", - " dc2:\n", - " _target_: bliss.surveys.dc2.DC2\n", - " data_dir: /nfs/turbo/lsa-regier/lsstdesc-public/dc2/run2.2i-dr6-v4/coadd-t3828-t3829/deepCoadd-results/\n", - " cat_path: ${paths.dc2}/merged_catalog/merged_catalog_psf_100.pkl\n", - " batch_size: 64\n", - " n_split: 50\n", - " image_lim:\n", - " - 4000\n", - " - 4000\n", - " use_deconv_channel: ${encoder.image_normalizer.use_deconv_channel}\n", - " deconv_path: ${paths.dc2}/coadd_deconv_image\n", - "mode: train\n", - "generate:\n", - " n_image_files: 16\n", - " n_batches_per_file: 16\n", - " simulator: ${simulator}\n", - " cached_data_path: /data/scratch/declan/redshift_estimation\n", - " file_prefix: dataset\n", - "train:\n", - " trainer:\n", - " _target_: pytorch_lightning.Trainer\n", - " logger:\n", - " _target_: pytorch_lightning.loggers.TensorBoardLogger\n", - " save_dir: ${paths.output}\n", - " name: null\n", - " version: null\n", - " default_hp_metric: false\n", - " callbacks:\n", - " - _target_: pytorch_lightning.callbacks.ModelCheckpoint\n", - " filename: best_encoder\n", - " save_top_k: 1\n", - " verbose: true\n", - " monitor: val/_loss\n", - " mode: min\n", - " save_on_train_epoch_end: false\n", - " auto_insert_metric_name: false\n", - " - _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping\n", - " monitor: val/_loss\n", - " mode: min\n", - " patience: 5\n", - " reload_dataloaders_every_n_epochs: 0\n", - " check_val_every_n_epoch: 1\n", - " log_every_n_steps: 10\n", - " min_epochs: 1\n", - " max_epochs: 50\n", - " accelerator: gpu\n", - " devices: 1\n", - " precision: 32\n", - " data_source: ${cached_simulator}\n", - " encoder: ${encoder}\n", - " seed: 42\n", - " pretrained_weights: null\n", - " testing: true\n", - "predict:\n", - " dataset: ${surveys.sdss}\n", - " trainer:\n", - " _target_: pytorch_lightning.Trainer\n", - " accelerator: gpu\n", - " precision: ${train.trainer.precision}\n", - " encoder: ${encoder}\n", - " weight_save_path: ${paths.pretrained_models}/clahed_logged_20percent.pt\n", - " device: cuda:0\n", - "\n" - ] - } - ], - "source": [ - "print(OmegaConf.to_yaml(cfg, resolve=False, sort_keys=False))" - ] - }, - { - "cell_type": "markdown", - "id": "8b09b90e", - "metadata": {}, - "source": [ - "You can browse the above printouts to get a feel for how the config is structured. Our project will eventually add some configurables and we'll have our own config similar to the above." - ] - }, - { - "cell_type": "markdown", - "id": "040ff86b", - "metadata": {}, - "source": [ - "The ```generate``` function from ```bliss/main.py``` takes arguments as\n", - "\n", - "```\n", - "def generate(gen_cfg: DictConfig):\n", - " ...\n", - "\n", - "```\n", - "\n", - "and so we can plug in a given ```DictConfig``` like the above to generate data. The true ```generate``` function is much more complex than what is given below, and helps cache previously simulated data to save time, etc. Our altered function below is used only for illustration purposes, where we'll generate a single batch of simulated data." - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "8f757dfa", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'n_image_files': 16, 'n_batches_per_file': 16, 'simulator': '${simulator}', 'cached_data_path': '/data/scratch/declan/redshift_estimation', 'file_prefix': 'dataset'}" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.generate" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "237744d6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'_target_': 'case_studies.redshift_estimation.simulated_dataset.RedshiftSimulatedDataset', 'survey': '${surveys.sdss}', 'prior': '${prior}', 'n_batches': 128, 'use_coaddition': False, 'coadd_depth': 1, 'num_workers': 32, 'valid_n_batches': 10, 'fix_validation_set': True}" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.generate.simulator" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "3a11f368", - "metadata": {}, - "outputs": [], - "source": [ - "from case_studies.redshift_estimation.prior import RedshiftPrior\n", - "from case_studies.redshift_estimation.simulated_dataset import RedshiftSimulatedDataset" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "e85c0375", - "metadata": {}, - "outputs": [], - "source": [ - "simulated_dataset = instantiate(cfg.generate.simulator)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "91a0b753", - "metadata": {}, - "outputs": [], - "source": [ - "def generate(gen_cfg: DictConfig):\n", - " simulated_dataset = instantiate(gen_cfg.simulator, num_workers=0)\n", - "\n", - " for _ in range(1):\n", - " batch = simulated_dataset.get_batch()\n", - " \n", - " return batch" - ] - }, - { - "cell_type": "markdown", - "id": "0873fdb6", - "metadata": {}, - "source": [ - "##### ***Running the cell below will take several minutes*** " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "ea8875eb", - "metadata": {}, - "outputs": [], - "source": [ - "simulated_batch_of_data = generate(cfg.generate)" - ] - }, - { - "cell_type": "markdown", - "id": "a49107fd", - "metadata": {}, - "source": [ - "Note that the 'full' configurable has three main subconfigs: `cfg.generate, cfg.train, cfg.predict`. This just helps keep things more organized. We only passed `cfg.generate` to the ```generate``` function." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "5ad8088f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['tile_catalog', 'images', 'background', 'deconvolution', 'psf_params'])" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "simulated_batch_of_data.keys()" - ] - }, - { - "cell_type": "markdown", - "id": "b7b0fa5e", - "metadata": {}, - "source": [ - "The simulated batch is a ```dict``` object. These can be stored to disk in some fashion that we won't worry about right now (see ```generate``` function in ```bliss/main.py```), as we'll just work with this single batch. Let's examine some of the objects. The main objects produced are the tile catalogs and the images. Let's look at the attributes of the tile catalog." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "80febdf8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc = simulated_batch_of_data['tile_catalog']\n", - "tc.keys()" - ] - }, - { - "cell_type": "markdown", - "id": "6533f3a8", - "metadata": {}, - "source": [ - "The quantities we're most interested in are `star_fluxes` and `galaxy_fluxes`. Checking shapes, we see that these have magnitudes corresponding to `u,g,r,i,z` bands. The bands are specified in the prior." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "796f26f7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['u', 'g', 'r', 'i', 'z']" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.prior.survey_bands" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "81f62bc5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(torch.Size([64, 20, 20, 1, 5]), torch.Size([64, 20, 20, 1, 5]))" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tc['galaxy_fluxes'].shape, tc['star_fluxes'].shape" - ] - }, - { - "cell_type": "markdown", - "id": "4910fbe5", - "metadata": {}, - "source": [ - "The first three dimensions of all these objects are 64 x 20 x 20. These numbers represent the following:\n", - "- 64 = number of synthetic (simulated) images\n", - "- 20 = number of tiles lengthwise\n", - "- 20 = number of tiles widthwise\n", - "\n", - "BLISS operates by dividing a given images into *tiles* of a certain size. This can be thought of as parsing the image into bite-size pieces. The number of tiles and number of images in simulated batches are controllable from the config object, e.g. " - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "bf1064cd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(64, 20, 20)" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.prior.batch_size, cfg.prior.n_tiles_h, cfg.prior.n_tiles_w" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "9caf998f", - "metadata": {}, - "outputs": [], - "source": [ - "ims = simulated_batch_of_data['images']" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "a370684d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 5, 80, 80])" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ims.shape" - ] - }, - { - "cell_type": "markdown", - "id": "6ea11845", - "metadata": {}, - "source": [ - "As expected, there are 64 images. The dimension 5 does not correspond to the number of sources per tile, but rather to the *photometric band* of each image, corresponding to u,g,r,i,z for SDSS data. Read more here: https://www.sdss4.org/instruments/camera/#Filters\n", - "\n", - "Again, these are specified in the config:" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "b20c65dd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['u', 'g', 'r', 'i', 'z']" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.prior.survey_bands" - ] - }, - { - "cell_type": "markdown", - "id": "7798b6ac", - "metadata": {}, - "source": [ - "We gather that each image for each band is 80 x 80. Recalling that we have 20 x 20 tiles, this implie that each tile is 4x4. Again, this is specified in the config." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "90191d74", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "4" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.prior.tile_slen" - ] - }, - { - "cell_type": "markdown", - "id": "6f794ed7", - "metadata": {}, - "source": [ - "Let's examine some simulated images." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "e3872beb", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(ims[0][0]) #u-band for first of 64 images" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "3aee17ae", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(ims[0][1]) #g-band for first of 64 images" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "d3120342", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(ims[0][2]) #r-band for first of 64 images" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "af18fa31", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(ims[0][3]) #i-band for first of 64 images" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "987cfe8d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(ims[0][4]) #z-band for first of 64 images" - ] - }, - { - "cell_type": "markdown", - "id": "beaa357b", - "metadata": {}, - "source": [ - "## Your task: dive into the method `.get_batch()` that is used to generate these images. See how this method and methods it calls use the `flux` parameters from the tile catalog. Overwrite these fluxes to change the brightnesses of the resulting objects. You should be able to see this effect in each band." - ] - }, - { - "cell_type": "markdown", - "id": "a29afe83", - "metadata": {}, - "source": [ - "You will want to start maybe with the `render_star`, `render_galaxy`, and `render_image` functions in the image decoder. You can modify code as needed, e.g. hardcode a single tile-catalog and alter it to explore the different renderings." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "112381b1", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/tutorials/3-Training.ipynb b/case_studies/redshift_estimation/notebooks/tutorials/3-Training.ipynb deleted file mode 100644 index a9ca5a187..000000000 --- a/case_studies/redshift_estimation/notebooks/tutorials/3-Training.ipynb +++ /dev/null @@ -1,139 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "2a920829", - "metadata": {}, - "source": [ - "# Training" - ] - }, - { - "cell_type": "markdown", - "id": "b55a0626", - "metadata": {}, - "source": [ - "Typically, training and large-scale data generation will occur on the command line. \n", - "\n", - "## Large-scale data generation\n", - "\n", - "The command to generate data with a particular choice of config is:" - ] - }, - { - "cell_type": "raw", - "id": "83b05a30", - "metadata": {}, - "source": [ - "nohup ./scripts/generate_data_in_parallel.sh -n 16 -cp /home/declan/current/bliss/case_studies/redshift_estimation/ -cn redshift.yaml &> generate_output.out &" - ] - }, - { - "cell_type": "markdown", - "id": "f4437eae", - "metadata": {}, - "source": [ - "Let's parse each component of this command.\n", - "\n", - "- nohup: makes this command run in the background\n", - "- ./scripts/generate_data_in_parallel: the executable script to run\n", - "- -n 16: args to this script indicating how many parallel processes to use to generate data\n", - "- -cp: config path argument\n", - "- -cn: config name argument\n", - "- &> generate_output.out &: pipes output to file generate_output.out that will log all printouts from this process" - ] - }, - { - "cell_type": "markdown", - "id": "bc3fea04", - "metadata": {}, - "source": [ - "Internally, the script calls the command `bliss mode=generate` with some of these arguments. Most of these are obvious once you see the meaning of each as above. \n", - "\n", - "\n", - "To try this out on your own, do the following exercise:\n", - "\n", - "1. Create a copy of the file `base_config.yaml` and call it something else.\n", - "2. Within this new file, alter the arguments for `generate.n_image_files` and `generate.n_batches_per_file`. Make them smaller.\n", - "3. Alter the argument for `generate.cached_data_path` to a new directory of your choice.\n", - "4. Run the command above, plugging in your config path and config name.\n", - "5. Verify that data is generated.\n", - "\n", - "\n", - "Below, you may want to inspect your generated data by loading a batch and plotting the images." - ] - }, - { - "cell_type": "markdown", - "id": "a409d0a2", - "metadata": {}, - "source": [ - "## Training" - ] - }, - { - "cell_type": "markdown", - "id": "dad7f350", - "metadata": {}, - "source": [ - "*After* generating data as above, you can train your model using the following command." - ] - }, - { - "cell_type": "raw", - "id": "0ac08495", - "metadata": {}, - "source": [ - "nohup bliss -cp /your/config/path --config-name config_name.yaml mode=train &> training.out &" - ] - }, - { - "cell_type": "markdown", - "id": "b0e24b6c", - "metadata": {}, - "source": [ - "Hopefully you are able to parse the command line args here." - ] - }, - { - "cell_type": "markdown", - "id": "0ecf94e0", - "metadata": {}, - "source": [ - "Now, \n", - "\n", - "1. Look at your config_name.yaml in `paths.output` to see the directory where your results are stored.\n", - "2. Verify that you have a `version_0` directory with a valid checkpoint." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a8a33f7c", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/tutorials/4-Prediction.ipynb b/case_studies/redshift_estimation/notebooks/tutorials/4-Prediction.ipynb deleted file mode 100644 index bc348a55d..000000000 --- a/case_studies/redshift_estimation/notebooks/tutorials/4-Prediction.ipynb +++ /dev/null @@ -1,235 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e9a2ad30", - "metadata": {}, - "source": [ - "# Prediction" - ] - }, - { - "cell_type": "markdown", - "id": "66860e55", - "metadata": {}, - "source": [ - "In this notebook, you'll load the weights of your model and use it to make predictions.\n", - "\n", - "Below, practice changing the filepaths as needed to adapt to your setup." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "d3578c49", - "metadata": {}, - "outputs": [], - "source": [ - "import torch\n", - "import numpy as np\n", - "import math\n", - "import os\n", - "import pytorch_lightning as pl\n", - "import torch\n", - "from hydra.utils import instantiate" - ] - }, - { - "cell_type": "markdown", - "id": "6fdcad67", - "metadata": {}, - "source": [ - "You may need to change a path here." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "33c107e3", - "metadata": {}, - "outputs": [], - "source": [ - "from os import environ\n", - "environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", - "\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from bliss.main import predict, train\n", - "\n", - "environ[\"BLISS_HOME\"] = str(\"/home/declan/current/bliss\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d390d81b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/home/declan/current/bliss'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "os.environ[\"BLISS_HOME\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "1e9e36fa", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/home/declan/current/bliss/case_studies/redshift_estimation/notebooks'" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "os.getcwd()" - ] - }, - { - "cell_type": "markdown", - "id": "38209210", - "metadata": {}, - "source": [ - "This cell below initializes `cfg` to contain the config file I want. I also load a weight_save_path. If I were calling `bliss mode=predict` from the command line, I would need to supply this path, so I do it for example. \n", - "\n", - "\n", - "Here, I didn't override any defaults so I actually have `mode=train` by default. I manually load the weights for illustration purposes." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "449342fe", - "metadata": {}, - "outputs": [], - "source": [ - "with initialize(config_path=\"../\", version_base=None):\n", - " cfg = compose(\"redshift\", {\n", - " \"predict.weight_save_path=/home/declan/current/bliss/redshift_output/version_4/checkpoints/best_encoder.ckpt\"\n", - " })" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "c0c9b695", - "metadata": {}, - "outputs": [], - "source": [ - "predict_cfg = cfg.predict" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "618db507", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "GPU available: True (cuda), used: True\n", - "TPU available: False, using: 0 TPU cores\n", - "IPU available: False, using: 0 IPUs\n", - "HPU available: False, using: 0 HPUs\n" - ] - } - ], - "source": [ - "encoder = instantiate(predict_cfg.encoder)\n", - "enc_state_dict = torch.load(predict_cfg.weight_save_path)\n", - "if predict_cfg.weight_save_path.endswith(\".ckpt\"):\n", - " enc_state_dict = enc_state_dict[\"state_dict\"]\n", - "encoder.load_state_dict(enc_state_dict)\n", - "dataset = instantiate(predict_cfg.dataset)\n", - "trainer = instantiate(predict_cfg.trainer)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "bac88239", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [4]\n", - "2024-03-18 12:50:44.871401: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", - "2024-03-18 12:50:44.871453: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", - "2024-03-18 12:50:44.873666: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", - "2024-03-18 12:50:44.883674: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", - "To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "2024-03-18 12:50:45.849374: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "945ba0cda51142c7907a71ab45a26464", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Predicting: 0it [00:00, ?it/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "results = trainer.predict(encoder, datamodule=dataset)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a61e735f", - "metadata": {}, - "outputs": [], - "source": [ - "results[0]['mode_cat'].to_dict()['redshifts']" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/notebooks/tutorials/5-VarDists.ipynb b/case_studies/redshift_estimation/notebooks/tutorials/5-VarDists.ipynb deleted file mode 100644 index de4c7a025..000000000 --- a/case_studies/redshift_estimation/notebooks/tutorials/5-VarDists.ipynb +++ /dev/null @@ -1,1166 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "5270d44e", - "metadata": {}, - "source": [ - "# Working with Variational Distributions" - ] - }, - { - "cell_type": "markdown", - "id": "a7410ad2", - "metadata": {}, - "source": [ - "We'll illustrate how to use the `VariationalDist` and `VariationalDistSpec` objects in tandem with the `Encoder` to perform sampling and compute the NLL. Let's load and simulate some data according to the `base_config`." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "1117d3c5", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os\n", - "os.chdir('/home/declan/current/bliss')\n", - "from bliss.encoder.variational_dist import VariationalDistSpec, VariationalDist\n", - "from bliss.encoder.unconstrained_dists import UnconstrainedNormal\n", - "import torch\n", - "import numpy as np\n", - "from os import environ\n", - "from pathlib import Path\n", - "from hydra import initialize, compose\n", - "from hydra.utils import instantiate\n", - "import matplotlib.pyplot as plt\n", - "from omegaconf import DictConfig, OmegaConf\n", - "from bliss.catalog import TileCatalog\n", - "\n", - "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", - "with initialize(config_path=\"../../bliss/conf\", version_base=None):\n", - " cfg = compose(\"base_config\", overrides={\"surveys.sdss.load_image_data=true\"})" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "bf56d51c", - "metadata": {}, - "outputs": [], - "source": [ - "simulator = instantiate(cfg.simulator)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "bfab1c97", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "bliss.simulator.simulated_dataset.SimulatedDataset" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(simulator)" - ] - }, - { - "cell_type": "markdown", - "id": "80ac56e6", - "metadata": {}, - "source": [ - "#### This cell below will take several minutes to run." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "0c862f90", - "metadata": {}, - "outputs": [], - "source": [ - "test_batch = simulator.get_batch()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "66b56e9f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['tile_catalog', 'images', 'background', 'deconvolution', 'psf_params'])" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_batch.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "f3fc75dd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes'])" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_batch['tile_catalog'].keys()" - ] - }, - { - "cell_type": "markdown", - "id": "afef37e3", - "metadata": {}, - "source": [ - "Let's instaniate the `Encoder` and run its primary method (for our purposes): the `infer` method that operates on simulated batches of data. More precisely, infer operates on the images of the batch (`test_batch['images']` in our naming so far). First, let's hard-code the so-called `target_cat` aka target catalog to be the ground truth $z$. We need this to construct the variable `truth_callback` below (we won't worry too much about the motivation behind this for now)." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "2708b68c", - "metadata": {}, - "outputs": [], - "source": [ - "encoder = instantiate(cfg.train.encoder)\n", - "target_cat = TileCatalog(encoder.tile_slen, test_batch[\"tile_catalog\"])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "2b8df9f3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "TileCatalog(64 x 20 x 20)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "target_cat" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "f2d69254", - "metadata": {}, - "outputs": [], - "source": [ - "# filter out undetectable sources\n", - "if encoder.min_flux_threshold > 0:\n", - " target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - " \n", - "# make predictions/inferences\n", - "target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)\n", - "truth_callback = lambda _: target_cat1\n", - "pred = encoder.infer(test_batch, truth_callback)" - ] - }, - { - "cell_type": "markdown", - "id": "324e2467", - "metadata": {}, - "source": [ - "Let's examine the outputs of the `infer` method." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "97c1b954", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['x_features', 'marginal', 'history_cat', 'white_history_mask', 'white', 'black'])" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred.keys()" - ] - }, - { - "cell_type": "markdown", - "id": "c13a2459", - "metadata": {}, - "source": [ - "We'll be most concerned with the dict entry `marginal`. As the name suggests, this will contain all information necessary for constructing the marginal variational distributions. In general, if a variational family is mean-field, it factorizes as the product of the marginals\n", - "\n", - "$$\n", - "q(z_1, z_2 \\mid x) = q(z_1 \\mid x) q(z_2 \\mid x)\n", - "$$\n", - "\n", - "hence the naming. For each latent variable of interest, we just need to know the marginal variational distribution on it when using this particular form of mean-field variational family. BLISS uses this type of variational family for the most part, although there are some subtleties whereby adjacent tiles do interact with one another. Let's focus on the pure mean-field case for now. If we have a distribution on each latent variable of interest, we can compute\n", - "\n", - "$$\n", - "\\log q(z_1, \\dots, z_K \\mid x) = \\sum_{i=1}^K \\log q(z_i \\mid x)\n", - "$$\n", - "\n", - "by log properties. We shall see that this is essentially how the `VariationalDist` objects compute the NLL." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "8b7f152c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "bliss.encoder.variational_dist.VariationalDist" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(pred['marginal'])" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "ce1c8311", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'on_prob': Categorical(probs: torch.Size([64, 20, 20, 2])),\n", - " 'loc': TruncatedDiagonalMVN(Normal(loc: torch.Size([64, 20, 20, 2]), scale: torch.Size([64, 20, 20, 2]))),\n", - " 'galaxy_prob': Categorical(probs: torch.Size([64, 20, 20, 2])),\n", - " 'galsim_disk_frac': TransformedDistribution(),\n", - " 'galsim_beta_radians': TransformedDistribution(),\n", - " 'galsim_disk_q': TransformedDistribution(),\n", - " 'galsim_a_d': LogNormal(),\n", - " 'galsim_bulge_q': TransformedDistribution(),\n", - " 'galsim_a_b': LogNormal(),\n", - " 'star_flux_u': LogNormal(),\n", - " 'star_flux_g': LogNormal(),\n", - " 'star_flux_r': LogNormal(),\n", - " 'star_flux_i': LogNormal(),\n", - " 'star_flux_z': LogNormal(),\n", - " 'galaxy_flux_u': LogNormal(),\n", - " 'galaxy_flux_g': LogNormal(),\n", - " 'galaxy_flux_r': LogNormal(),\n", - " 'galaxy_flux_i': LogNormal(),\n", - " 'galaxy_flux_z': LogNormal()}" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred['marginal'].factors" - ] - }, - { - "cell_type": "markdown", - "id": "67c1aaae", - "metadata": {}, - "source": [ - "We see that `pred['marginal']` returns an object of type `VariationalDist`. This variational distribution is conditional on the $x$ defined by our particular simulated batch.\n", - "\n", - "The `factors` attribute contains each of the marginal factors. Some of the shapes are revealing. Clearly 64 x 20 x 20 corresponds to the number of images in a simulated batch and the tiles corresponding to the `base_config` we've used. These can be altered if desired." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "d60bcdaf", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(64, 20, 20)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.prior.batch_size, cfg.prior.n_tiles_h, cfg.prior.n_tiles_w" - ] - }, - { - "cell_type": "markdown", - "id": "70e7a24b", - "metadata": {}, - "source": [ - "This informs some of the dimensions we see above. For example, `loc` should 2D ***per-source***, an (x,y) coordinate pair. Hence the 2 in the last dimension for `loc`. Evidently, many of these distributions are per-source.\n", - "\n", - "Recall that BLISS's variational distribution currently allows for at most 2 sources per tile. This does not seem to be accounted for in the above. The way BLISS works in reality is to first detect the brightest source in each tile; then, having accounted for this, try to find a second source. In this `base_config` we don't do this actually: the prior is constrained to have at most 1 source per-tile so it's not necessary. If one wanted to detect multiple sources per-tile, one could change by overwriting as below. To detect multiple sources, one needs to implement this two-stage process. This can be done by setting the configurable `encoder.double_detect` to be `True` (and potentially some other configurables).\n", - "\n", - "For now, we won't worry about this and will be satisfied with generating and detecting at most 1 source per tile." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "1109f920", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1\n", - "False\n" - ] - } - ], - "source": [ - "print(cfg.prior.max_sources) # Should be =1\n", - "print(cfg.encoder.double_detect) #Should be False" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "50787a88", - "metadata": {}, - "outputs": [], - "source": [ - "# Would change these configurables to detect multiple sources via a two-layer detection stage in encoder.\n", - "# cfg.prior.max_sources = 2\n", - "# cfg.encoder.double_detect = True" - ] - }, - { - "cell_type": "markdown", - "id": "f79b8092", - "metadata": {}, - "source": [ - "How does the `infer` method of `Encoder` produce a `VariationalDist` object? Through the `VariationalDistSpec` class. This \"variational distribution specificiation\" contains the information needed to construct the variational distribution. Here's a look at the class below. The most important attribute is `factor_specs` which specifies the factors for each latent variable of interest." - ] - }, - { - "cell_type": "markdown", - "id": "51efb1f7", - "metadata": {}, - "source": [ - "```\n", - "class VariationalDistSpec(torch.nn.Module):\n", - " def __init__(self, survey_bands, tile_slen):\n", - " super().__init__()\n", - "\n", - " self.survey_bands = survey_bands\n", - " self.tile_slen = tile_slen\n", - "\n", - " self.factor_specs = {\n", - " \"on_prob\": UnconstrainedBernoulli(),\n", - " \"loc\": UnconstrainedTDBN(),\n", - " \"galaxy_prob\": UnconstrainedBernoulli(),\n", - " # galsim parameters\n", - " \"galsim_disk_frac\": UnconstrainedLogitNormal(),\n", - " \"galsim_beta_radians\": UnconstrainedLogitNormal(high=torch.pi),\n", - " \"galsim_disk_q\": UnconstrainedLogitNormal(),\n", - " \"galsim_a_d\": UnconstrainedLogNormal(),\n", - " \"galsim_bulge_q\": UnconstrainedLogitNormal(),\n", - " \"galsim_a_b\": UnconstrainedLogNormal(),\n", - " }\n", - "...\n", - "```" - ] - }, - { - "cell_type": "markdown", - "id": "f5558192", - "metadata": {}, - "source": [ - "The `Encoder` is instantiated with a `VariationalDistSpec` attribute. The `infer` method then uses the `make_dist` method of `VariationalDistSpec` to create the `VariationalDist` object." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "0ed8c720", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "VariationalDistSpec()" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "encoder.vd_spec" - ] - }, - { - "cell_type": "markdown", - "id": "334dcf7a", - "metadata": {}, - "source": [ - "We will present just a little more detail on how `Encoder` produces the final variational distribution. Look inside `Encoder.infer` for more detail. \n", - "\n", - "For any given batch, the images are first normalized, then passed through a feature net. " - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "0909c1f1", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 256, 20, 20])" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "normalized_images = encoder.image_normalizer.get_input_tensor(test_batch)\n", - "x_features = encoder.features_net(normalized_images)\n", - "x_features.shape" - ] - }, - { - "cell_type": "markdown", - "id": "99589189", - "metadata": {}, - "source": [ - "It appears that each tile is represented by a vector of length 256. This tensor is then passed to `marginal_net` which produces all necessary variational parameters." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "05b21e8a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 20, 20, 38])" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x_cat = encoder.marginal_net(x_features)\n", - "x_cat.shape" - ] - }, - { - "cell_type": "markdown", - "id": "a52ba50e", - "metadata": {}, - "source": [ - "The shape of `x_cat` is revealing. It tells us that per-tile, we have 38 variational parameters. Let's recover this number 38 from the variational distribution specification to check that everything matches." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "f5bf6aa2", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "38" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sum(dist.dim for _,dist in encoder.vd_spec.factor_specs.items() )" - ] - }, - { - "cell_type": "markdown", - "id": "eb9039a9", - "metadata": {}, - "source": [ - "So this magical number 38 just matches the dimensions totaled by all the variational distributions. If we added more variational distributions, this number would have to change obviously (it would increase, to 40, 45, etc.\n", - "\n", - "Let's show how `VariationalDist` is created from `x_cat`. As said above, this is done using the `make_dist` method of `VariationalDistSpec`." - ] - }, - { - "cell_type": "markdown", - "id": "015adafe", - "metadata": {}, - "source": [ - "```\n", - "def make_dist(self, x_cat):\n", - " factors = self._parse_factors(x_cat)\n", - " return VariationalDist(factors, self.survey_bands, self.tile_slen)\n", - "\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "271f3a82", - "metadata": {}, - "outputs": [], - "source": [ - "vd = encoder.vd_spec.make_dist(x_cat)" - ] - }, - { - "cell_type": "markdown", - "id": "27ac3cf0", - "metadata": {}, - "source": [ - "Once one has the `VariationalDist` object created, one can compute NLL and sample using the functions quite easily." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "2619df65", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 20, 20])" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vd.compute_nll(target_cat1).shape" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "3fdbb429", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "TileCatalog(64 x 20 x 20)" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vd.sample(use_mode=True)" - ] - }, - { - "cell_type": "markdown", - "id": "c2029b2d", - "metadata": {}, - "source": [ - "# Redshift-Focused Variational Distributions" - ] - }, - { - "cell_type": "markdown", - "id": "5efa5ca5", - "metadata": {}, - "source": [ - "I've extended the `VariationalDistSpec` and `VariationalDist` classes to `RedshiftVariationalDistSpec` and `RedshiftVariationalDist`. The main differences between these is that they add a new variational distribution on redshift to the list of parameters above. The config `redshift.yaml` extends the `base_config.yaml` so similarly both generates and detects at most one source per tile. We can make it more complicated later." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "ea53e030", - "metadata": {}, - "outputs": [], - "source": [ - "from catalog import RedshiftTileCatalog\n", - "from variational_dist import RedshiftVariationalDistSpec, RedshiftVariationalDist\n", - "\n", - "environ[\"BLISS_HOME\"] = \"/home/declan/current/bliss\"\n", - "with initialize(config_path=\".\", version_base=None):\n", - " cfg = compose(\"redshift\", overrides={\"surveys.sdss.load_image_data=true\"})" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "7eb385b5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['locs', 'n_sources', 'source_type', 'galaxy_fluxes', 'galaxy_params', 'star_fluxes', 'redshifts'])" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "simulator = instantiate(cfg.simulator)\n", - "test_batch = simulator.get_batch()\n", - "test_batch['tile_catalog'].keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "ee2fb778", - "metadata": {}, - "outputs": [], - "source": [ - "encoder = instantiate(cfg.train.encoder)\n", - "target_cat = RedshiftTileCatalog(encoder.tile_slen, test_batch[\"tile_catalog\"])" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "2ef9ad66", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "bliss.encoder.encoder.Encoder" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(encoder)" - ] - }, - { - "cell_type": "markdown", - "id": "671239cc", - "metadata": {}, - "source": [ - "We do not need to modify/extend the Encoder class at this point in time." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "67ca6748", - "metadata": {}, - "outputs": [], - "source": [ - "# filter out undetectable sources\n", - "if encoder.min_flux_threshold > 0:\n", - " target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - " \n", - "# get brightest sources\n", - "target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)" - ] - }, - { - "cell_type": "markdown", - "id": "f6b9d1b8", - "metadata": {}, - "source": [ - "Let's make an example `RedshiftVariationalDistSpec` object to illustrate the new `factor_spec` on redshift." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "83c10da2", - "metadata": {}, - "outputs": [], - "source": [ - "rvds = RedshiftVariationalDistSpec(cfg.prior.survey_bands, cfg.prior.tile_slen)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "044da9dd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('on_prob',\n", - " ),\n", - " ('loc',\n", - " ),\n", - " ('galaxy_prob',\n", - " ),\n", - " ('galsim_disk_frac',\n", - " ),\n", - " ('galsim_beta_radians',\n", - " ),\n", - " ('galsim_disk_q',\n", - " ),\n", - " ('galsim_a_d',\n", - " ),\n", - " ('galsim_bulge_q',\n", - " ),\n", - " ('galsim_a_b',\n", - " ),\n", - " ('star_flux_u',\n", - " ),\n", - " ('star_flux_g',\n", - " ),\n", - " ('star_flux_r',\n", - " ),\n", - " ('star_flux_i',\n", - " ),\n", - " ('star_flux_z',\n", - " ),\n", - " ('galaxy_flux_u',\n", - " ),\n", - " ('galaxy_flux_g',\n", - " ),\n", - " ('galaxy_flux_r',\n", - " ),\n", - " ('galaxy_flux_i',\n", - " ),\n", - " ('galaxy_flux_z',\n", - " ),\n", - " ('redshift',\n", - " )]" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "list(rvds.factor_specs.items())" - ] - }, - { - "cell_type": "markdown", - "id": "3286f20b", - "metadata": {}, - "source": [ - "We see that `rvds.factor_specs` contains a new variational distribution unique for this project, a distribution redshift. It's a Gaussian distribution for now, but be made to be anything one desires." - ] - }, - { - "cell_type": "markdown", - "id": "f0ca6491", - "metadata": {}, - "source": [ - "The `Encoder` object should have a `RedshiftVariationalDistSpec` as its `vd_spec` attribute now. This was done by changing the appropriate `_target_` in the config." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "495c316b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "RedshiftVariationalDistSpec()" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "encoder.vd_spec" - ] - }, - { - "cell_type": "markdown", - "id": "29876a4e", - "metadata": {}, - "source": [ - "Using the output of `Encoder.infer` thus get an instance of `RedshiftVariationalDist` that we can use to compute the NLL and sample, etc." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "225fbc41", - "metadata": {}, - "outputs": [], - "source": [ - "truth_callback = lambda _: target_cat1\n", - "pred = encoder.infer(test_batch, truth_callback)" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "7fb5d8d9", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "RedshiftVariationalDist()" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred['marginal']" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "0c1aacdd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "40" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sum(dist.dim for _,dist in encoder.vd_spec.factor_specs.items() )" - ] - }, - { - "cell_type": "markdown", - "id": "e1e995c8", - "metadata": {}, - "source": [ - "There are now 40 variational parameters per source, up from 38 before. We added two: a location and scale parameter for the Gaussian distribution that describes redshift." - ] - }, - { - "cell_type": "markdown", - "id": "78e6fcd1", - "metadata": {}, - "source": [ - "Let's compute NLL and sample to make sure everything works." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "d19fda56", - "metadata": {}, - "outputs": [], - "source": [ - "rvd = pred['marginal']" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "8511d85b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "RedshiftTileCatalog(64 x 20 x 20)" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "rvd.sample(use_mode=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "05454135", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([64, 20, 20])" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "rvd.compute_nll(target_cat1).shape" - ] - }, - { - "cell_type": "markdown", - "id": "0522acc0", - "metadata": {}, - "source": [ - "### Example Training Loop" - ] - }, - { - "cell_type": "markdown", - "id": "331c1ebc", - "metadata": {}, - "source": [ - "***This cell runs pretty slowly. All on CPU for illustration.***" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "ac582a2f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Iteration 0: Loss 31.29745101928711\n", - "Iteration 10: Loss 5.976312160491943\n", - "Iteration 20: Loss 5.461785316467285\n", - "Iteration 30: Loss 4.9790143966674805\n", - "Iteration 40: Loss 4.622425079345703\n", - "Iteration 50: Loss 4.379827976226807\n", - "Iteration 60: Loss 4.2173662185668945\n", - "Iteration 70: Loss 4.101867198944092\n", - "Iteration 80: Loss 4.002026557922363\n", - "Iteration 90: Loss 3.91727352142334\n", - "Iteration 100: Loss 3.8605949878692627\n", - "Iteration 110: Loss 3.7549383640289307\n", - "Iteration 120: Loss 3.747856855392456\n", - "Iteration 130: Loss 3.656813383102417\n", - "Iteration 140: Loss 3.6292967796325684\n", - "Iteration 150: Loss 3.5320780277252197\n", - "Iteration 160: Loss 3.470863103866577\n", - "Iteration 170: Loss 3.44598388671875\n", - "Iteration 180: Loss 3.3535513877868652\n", - "Iteration 190: Loss 3.4474265575408936\n", - "Iteration 200: Loss 3.3439383506774902\n", - "Iteration 210: Loss 3.2493293285369873\n", - "Iteration 220: Loss 3.5173134803771973\n", - "Iteration 230: Loss 3.2241787910461426\n", - "Iteration 240: Loss 3.138590097427368\n", - "Iteration 250: Loss 3.0926873683929443\n", - "Iteration 260: Loss 3.7236886024475098\n", - "Iteration 270: Loss 3.541830062866211\n", - "Iteration 280: Loss 3.4552664756774902\n", - "Iteration 290: Loss 3.385012626647949\n" - ] - } - ], - "source": [ - "niter = 300\n", - "optimizer = torch.optim.Adam(encoder.parameters(), lr=1e-3)\n", - "for i in range(niter):\n", - " # Many of the lines below are redundant because we have a single batch\n", - " # so quantities don't change.\n", - " \n", - " target_cat = RedshiftTileCatalog(encoder.tile_slen, test_batch[\"tile_catalog\"])\n", - " # filter out undetectable sources\n", - " if encoder.min_flux_threshold > 0:\n", - " target_cat = target_cat.filter_tile_catalog_by_flux(min_flux=encoder.min_flux_threshold)\n", - "\n", - " # make predictions/inferences\n", - " target_cat1 = target_cat.get_brightest_sources_per_tile(band=2, exclude_num=0)\n", - " truth_callback = lambda _: target_cat1\n", - " pred = encoder.infer(test_batch, truth_callback)\n", - " rvd = pred['marginal']\n", - " \n", - " # Main gradient step code\n", - " optimizer.zero_grad()\n", - " loss = rvd.compute_nll(target_cat1).mean()\n", - " loss.backward()\n", - " optimizer.step()\n", - " \n", - " if i % 10 == 0:\n", - " print('Iteration {}: Loss {}'.format(i, loss.item()))\n", - " " - ] - }, - { - "cell_type": "markdown", - "id": "383a5035", - "metadata": {}, - "source": [ - "Let's check how we're doing on the redshift variational distributions. Recall the prior on redshift is extremely concentrated as this is a toy case for now." - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "4181d357", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(0.99, 1.01)" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg.prior.redshift_min, cfg.prior.redshift_max" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "0e638457", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([0.9924, 0.9927, 0.9909, ..., 0.9837, 0.9853, 0.9877],\n", - " grad_fn=)" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "q = rvd.factors\n", - "q[\"redshift\"].loc.flatten()" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "06250349", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([0.0416, 0.0426, 0.0425, ..., 0.0421, 0.0418, 0.0419],\n", - " grad_fn=)" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "q[\"redshift\"].scale.flatten()" - ] - }, - { - "cell_type": "markdown", - "id": "1222cc63", - "metadata": {}, - "source": [ - "The locations are looking pretty good; the scales are still way too big, but at least the variational distributions are overdispersed. The variational distribution is misspecified: the prior is $\\textrm{Unif}(0.99, 1.01)$, and we have not modified the decoder $p(x \\mid z)$ at all. In other words, redshift has no impact on the data right now. Accordingly, the posterior should be equal to the prior.\n", - "\n", - "Of course we don't achieve that, because the variational distribution is constained to be Gaussian. We'd hope with more trainin we could get even more highly concentrated Gaussians approximately in the interval $[0.99,1.01]$ but the above suffices for now as a sanity check." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/case_studies/redshift_estimation/prior.py b/case_studies/redshift_estimation/prior.py deleted file mode 100644 index 8eb8479b8..000000000 --- a/case_studies/redshift_estimation/prior.py +++ /dev/null @@ -1,389 +0,0 @@ -import numpy as np -import pandas as pd -import torch -from torch.distributions import Gamma, Uniform - -from bliss.simulator.prior import CatalogPrior -from case_studies.redshift_estimation.catalog import RedshiftTileCatalog - - -class RedshiftUniformPrior(CatalogPrior): - """Prior distribution of objects in an astronomical image. - - Inherits from CatalogPrior, adding redshift. Temporarily, - redshift is drawn from a tight uniform distribution Unif(0.99,1.01) - for validation. - """ - - def __init__( - self, - *args, - redshift_min: float = 0.0, - redshift_max: float = 1.0, - **kwargs, - ): - """Initializes CatalogPrior.""" - super().__init__(*args, **kwargs) - self.redshift_min = redshift_min - self.redshift_max = redshift_max - - def _sample_redshifts(self): - latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) - return Uniform(self.redshift_min, self.redshift_max).sample(latent_dims) - - def sample(self) -> RedshiftTileCatalog: - """Overrides this method from CatalogPrior to include redshift samples from prior. - - Returns: - A dictionary of tensors. Each tensor is a particular per-tile quantity; i.e. - the first three dimensions of each tensor are - `(batch_size, self.n_tiles_h, self.n_tiles_w)`. - The remaining dimensions are variable-specific. - """ - locs = self._sample_locs() - galaxy_fluxes, galaxy_params = self._sample_galaxy_prior() - star_fluxes = self._sample_star_fluxes() - - n_sources = self._sample_n_sources() - source_type = self._sample_source_type() - redshifts = self._sample_redshifts() - - catalog_params = { - "n_sources": n_sources, - "source_type": source_type, - "locs": locs, - "galaxy_fluxes": galaxy_fluxes, - "galaxy_params": galaxy_params, - "star_fluxes": star_fluxes, - "redshifts": redshifts, - } - - return RedshiftTileCatalog(self.tile_slen, catalog_params) - - -class RedshiftGammaPrior(CatalogPrior): - """Prior distribution of objects in an astronomical image. - - Inherits from CatalogPrior, adding redshift. Temporarily, - redshift is drawn from a tight uniform distribution Unif(0.99,1.01) - for validation. - """ - - def __init__( - self, - *args, - redshift_alpha: float = 0.0, - redshift_beta: float = 1.0, - **kwargs, - ): - """Initializes CatalogPrior.""" - super().__init__(*args, **kwargs) - self.redshift_alpha = redshift_alpha - self.redshift_beta = redshift_beta - - def _sample_redshifts(self): - latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) - return Gamma(self.redshift_alpha, self.redshift_beta).sample(latent_dims) - - def sample(self) -> RedshiftTileCatalog: - """Overrides this method from CatalogPrior to include redshift samples from prior. - - Returns: - A dictionary of tensors. Each tensor is a particular per-tile quantity; i.e. - the first three dimensions of each tensor are - `(batch_size, self.n_tiles_h, self.n_tiles_w)`. - The remaining dimensions are variable-specific. - """ - locs = self._sample_locs() - galaxy_fluxes, galaxy_params = self._sample_galaxy_prior() - star_fluxes = self._sample_star_fluxes() - - n_sources = self._sample_n_sources() - source_type = self._sample_source_type() - redshifts = self._sample_redshifts() - - catalog_params = { - "n_sources": n_sources, - "source_type": source_type, - "locs": locs, - "galaxy_fluxes": galaxy_fluxes, - "galaxy_params": galaxy_params, - "star_fluxes": star_fluxes, - "redshifts": redshifts, - } - - return RedshiftTileCatalog(self.tile_slen, catalog_params) - - -class RedshiftCSVPrior(CatalogPrior): - """Prior distribution of objects in an astronomical image. - - Inherits from CatalogPrior, adding redshift. Load a csvfile for flux and redshift. - """ - - def __init__( - self, - *args, - **kwargs, - ): - """Initializes CatalogPrior.""" - super().__init__(*args, **kwargs) - self.array = ( - pd.read_csv( - "/data/scratch/declan/STAR.csv", - header=0, - dtype={ - "u_band": float, - "g_band": float, - "r_band": float, - "i_band": float, - "z_band": float, - "redshift": float, - }, - ) - .to_numpy()[:, 2:8] - .astype(float) - ) - latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) - self.__sample = np.random.choice(range(len(self.array)), size=latent_dims, replace=True) - - def _sample_redshifts(self): - return torch.from_numpy(np.take(self.array[:, -1], self.__sample)) - - # Override the source_type to be a star - def _sample_source_type(self): - latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) - return torch.zeros(*latent_dims) - - # Overirde the star fluxes to sample from the real data - def _sample_star_fluxes(self): - total_flux = np.concatenate( - ( - np.take(self.array[:, 0], self.__sample), - np.take(self.array[:, 1], self.__sample), - np.take(self.array[:, 2], self.__sample), - np.take(self.array[:, 3], self.__sample), - np.take(self.array[:, 4], self.__sample), - ), - axis=-1, - ) - - # select specified bands - # bands = np.array(range(self.n_bands)) - # return total_flux[..., bands] - return torch.from_numpy(total_flux) - - def sample(self) -> RedshiftTileCatalog: - """Overrides this method from CatalogPrior to include redshift samples from prior. - - Returns: - A dictionary of tensors. Each tensor is a particular per-tile quantity; i.e. - the first three dimensions of each tensor are - `(batch_size, self.n_tiles_h, self.n_tiles_w)`. - The remaining dimensions are variable-specific. - """ - locs = self._sample_locs() - # Assume all sources are stars for now, cant comment this because their values are needed elsewhere even we are not using them - galaxy_fluxes, galaxy_params = self._sample_galaxy_prior() - star_fluxes = self._sample_star_fluxes() - - n_sources = self._sample_n_sources() - source_type = self._sample_source_type() - redshifts = self._sample_redshifts() - - catalog_params = { - "n_sources": n_sources, - "source_type": source_type, - "locs": locs, - "galaxy_fluxes": galaxy_fluxes, - "galaxy_params": galaxy_params, - "star_fluxes": star_fluxes, - "redshifts": redshifts, - } - - return RedshiftTileCatalog(self.tile_slen, catalog_params) - - -class RedshiftCSVPriorSDSS(CatalogPrior): - """Prior distribution of objects in an astronomical image. - - Inherits from CatalogPrior, adding redshift. Load a csvfile for flux and redshift. - """ - - def __init__( - self, - *args, - **kwargs, - ): - """Initializes CatalogPrior.""" - super().__init__(*args, **kwargs) - self.array = ( - pd.read_csv( - "/data/scratch/declan/GALAXY.csv", - header=0, - dtype={ - "u_band": float, - "g_band": float, - "r_band": float, - "i_band": float, - "z_band": float, - "redshift": float, - }, - ) - .to_numpy()[:, 2:8] - .astype(float) - ) - self.latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) - - def _sample_indices(self): - return np.random.choice(range(len(self.array)), size=self.latent_dims, replace=True) - - def _sample_redshifts(self, indices): - return torch.from_numpy(np.take(self.array[:, -1], indices)) - - # Override the source_type to be a star - def _sample_source_type(self): - latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) - return torch.ones(*latent_dims) - - # Overirde the star fluxes to sample from the real data - def _sample_galaxy_fluxes(self, indices): - galaxy_fluxes, galaxy_params = super()._sample_galaxy_prior() - total_flux = np.concatenate( - ( - np.take(self.array[:, 0], indices), - np.take(self.array[:, 1], indices), - np.take(self.array[:, 2], indices), - np.take(self.array[:, 3], indices), - np.take(self.array[:, 4], indices), - ), - axis=-1, - ) - - return torch.from_numpy(total_flux), galaxy_params - - def sample(self) -> RedshiftTileCatalog: - """Overrides this method from CatalogPrior to include redshift samples from prior. - - Returns: - A dictionary of tensors. Each tensor is a particular per-tile quantity; i.e. - the first three dimensions of each tensor are - `(batch_size, self.n_tiles_h, self.n_tiles_w)`. - The remaining dimensions are variable-specific. - """ - locs = self._sample_locs() - # Assume all sources are stars for now, cant comment this because their values are needed elsewhere even we are not using them - indices = self._sample_indices() - - galaxy_fluxes, galaxy_params = self._sample_galaxy_fluxes(indices) - star_fluxes = self._sample_star_fluxes() - - n_sources = self._sample_n_sources() - source_type = self._sample_source_type() - redshifts = self._sample_redshifts(indices) - - catalog_params = { - "n_sources": n_sources, - "source_type": source_type, - "locs": locs, - "galaxy_fluxes": galaxy_fluxes, - "galaxy_params": galaxy_params, - "star_fluxes": star_fluxes, - "redshifts": redshifts, - } - - return RedshiftTileCatalog(self.tile_slen, catalog_params) - - -class RedshiftCSVPriorDC2(CatalogPrior): - """Prior distribution of objects in an astronomical image. - - Inherits from CatalogPrior, adding redshift. Load a csvfile for flux and redshift. - """ - - def __init__( - self, - *args, - **kwargs, - ): - """Initializes CatalogPrior.""" - super().__init__(*args, **kwargs) - self.array = ( - pd.read_csv( - "/data/scratch/declan/dc2_truth_galaxies_mini_clean.csv", - header=0, - dtype={ - "mag_u": float, - "mag_g": float, - "mag_r": float, - "mag_i": float, - "mag_z": float, - "redshift": float, - }, - ) - .to_numpy()[:, 1:] - .astype(float) - ) - self.latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) - - def _sample_indices(self): - return np.random.choice(range(len(self.array)), size=self.latent_dims, replace=True) - - def _sample_redshifts(self, indices): - return torch.from_numpy(np.take(self.array[:, -1], indices)) - - # Override the source_type to be a star - def _sample_source_type(self): - latent_dims = (self.batch_size, self.n_tiles_h, self.n_tiles_w, self.max_sources, 1) - return torch.ones(*latent_dims) - - # Overirde the star fluxes to sample from the real data - def _sample_galaxy_fluxes(self, indices): - galaxy_fluxes, galaxy_params = super()._sample_galaxy_prior() - total_flux = np.concatenate( - ( - np.take(self.array[:, 0], indices), - np.take(self.array[:, 1], indices), - np.take(self.array[:, 2], indices), - np.take(self.array[:, 3], indices), - np.take(self.array[:, 4], indices), - ), - axis=-1, - ) - - # select specified bands - # bands = np.array(range(self.n_bands)) - # return total_flux[..., bands] - return torch.from_numpy(total_flux), galaxy_params - - def sample(self) -> RedshiftTileCatalog: - """Overrides this method from CatalogPrior to include redshift samples from prior. - - Returns: - A dictionary of tensors. Each tensor is a particular per-tile quantity; i.e. - the first three dimensions of each tensor are - `(batch_size, self.n_tiles_h, self.n_tiles_w)`. - The remaining dimensions are variable-specific. - """ - locs = self._sample_locs() - # Assume all sources are stars for now, cant comment this because their values are needed elsewhere even we are not using them - indices = self._sample_indices() - - galaxy_fluxes, galaxy_params = self._sample_galaxy_fluxes(indices) - star_fluxes = self._sample_star_fluxes() - - n_sources = self._sample_n_sources() - source_type = self._sample_source_type() - redshifts = self._sample_redshifts(indices) - - catalog_params = { - "n_sources": n_sources, - "source_type": source_type, - "locs": locs, - "galaxy_fluxes": galaxy_fluxes, - "galaxy_params": galaxy_params, - "star_fluxes": star_fluxes, - "redshifts": redshifts, - } - - return RedshiftTileCatalog(self.tile_slen, catalog_params) diff --git a/case_studies/redshift_estimation/redshift.yaml b/case_studies/redshift_estimation/redshift.yaml deleted file mode 100644 index e0491e192..000000000 --- a/case_studies/redshift_estimation/redshift.yaml +++ /dev/null @@ -1,78 +0,0 @@ ---- -defaults: - - ../../bliss/conf@_here_: base_config - - _self_ - - override hydra/job_logging: stdout - -paths: - root: ${oc.env:BLISS_HOME} - data: ${paths.root}/data - sdss: ${paths.data}/sdss - output: ${paths.root}/redshift_output - -train: - trainer: - callbacks: - - _target_: pytorch_lightning.callbacks.ModelCheckpoint - filename: best_encoder - save_top_k: 1 - verbose: True - monitor: val/_loss - mode: min - save_on_train_epoch_end: False - auto_insert_metric_name: False - - _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping - monitor: val/_loss - mode: min - patience: 50 - - max_epochs: 100 - -prior: - _target_: case_studies.redshift_estimation.prior.RedshiftCSVPriorSDSS - -simulator: - _target_: case_studies.redshift_estimation.simulated_dataset.RedshiftSimulatedDataset - -encoder: - vd_spec: - _target_: case_studies.redshift_estimation.variational_dist.RedshiftVariationalDistSpec - double_detect: false - use_checkerboard: false - optimizer_params: - lr: 1e-4 - metrics: - _target_: torchmetrics.MetricCollection - metrics: - - _target_: bliss.encoder.metrics.DetectionPerformance - mag_bin_cutoffs: [19, 19.4, 19.8, 20.2, 20.6, 21, 21.4, 21.8] - - _target_: bliss.encoder.metrics.SourceTypeAccuracy - - _target_: bliss.encoder.metrics.FluxError - survey_bands: ${encoder.survey_bands} - - _target_: bliss.encoder.metrics.GalaxyShapeError - - _target_: case_studies.redshift_estimation.metrics.RedshiftMeanSquaredError - marginal_metrics: - _target_: torchmetrics.MetricCollection - metrics: - - _target_: case_studies.redshift_estimation.metrics.RedshiftNLL - -generate: - n_image_files: 16 - n_batches_per_file: 16 - cached_data_path: /data/scratch/declan/sdss_like_galaxies - -cached_simulator: - _target_: case_studies.redshift_estimation.simulated_dataset.RedshiftCachedSimulatedDataset - cached_data_path: /data/scratch/declan/sdss_like_galaxies - batch_size: 32 - -cached_test_data: - _target_: case_studies.redshift_estimation.simulated_dataset.RedshiftCachedSimulatedDataset - batch_size: 32 - splits: 0:80/80:90/90:100 # train/val/test splits as percent ranges - num_workers: 0 - file_prefix: ${generate.file_prefix} - cached_data_path: /data/scratch/declan/redshift_estimation_test - -predict: - dataset: ${cached_test_data} diff --git a/case_studies/redshift_estimation/simulated_dataset.py b/case_studies/redshift_estimation/simulated_dataset.py deleted file mode 100644 index 1765776d1..000000000 --- a/case_studies/redshift_estimation/simulated_dataset.py +++ /dev/null @@ -1,247 +0,0 @@ -import warnings -from typing import Any, Dict, List, Optional, Tuple, TypedDict - -import numpy as np -import pytorch_lightning as pl -import torch -from skimage.restoration import richardson_lucy -from torch import Tensor -from torch.utils.data import DataLoader, IterableDataset -from tqdm import tqdm - -from bliss.align import align -from bliss.simulator.decoder import ImageDecoder -from bliss.simulator.simulated_dataset import CachedSimulatedDataset -from bliss.surveys.survey import Survey -from case_studies.redshift_estimation.catalog import RedshiftTileCatalog -from case_studies.redshift_estimation.prior import RedshiftUniformPrior - -# prevent pytorch_lightning warning for num_workers = 0 in dataloaders with IterableDataset -warnings.filterwarnings( - "ignore", ".*does not have many workers which may be a bottleneck.*", UserWarning -) - - -class RedshiftSimulatedDataset(pl.LightningDataModule, IterableDataset): - def __init__( - self, - survey: Survey, - prior: RedshiftUniformPrior, - n_batches: int, - use_coaddition: bool = False, - coadd_depth: int = 1, - num_workers: int = 0, - valid_n_batches: Optional[int] = None, - fix_validation_set: bool = False, - ): - super().__init__() - - self.survey = survey - survey.prepare_data() - - self.catalog_prior = prior - self.background = self.survey.background - assert self.catalog_prior is not None, "Survey prior cannot be None." - assert self.background is not None, "Survey background cannot be None." - self.catalog_prior.requires_grad_(False) - self.background.requires_grad_(False) - - assert survey.psf is not None, "Survey psf cannot be None." - assert survey.pixel_shift is not None, "Survey pixel_shift cannot be None." - assert ( - survey.flux_calibration_dict is not None - ), "Survey flux_calibration_dict cannot be None." - self.image_decoder = ImageDecoder( - psf=survey.psf, - bands=survey.BANDS, - pixel_shift=survey.pixel_shift, - flux_calibration_dict=survey.flux_calibration_dict, - ref_band=prior.reference_band, - ) - - self.n_batches = n_batches - self.batch_size = self.catalog_prior.batch_size - self.use_coaddition = use_coaddition - self.coadd_depth = coadd_depth - self.num_workers = num_workers - self.fix_validation_set = fix_validation_set - self.valid_n_batches = n_batches if valid_n_batches is None else valid_n_batches - - self.image_ids = self.survey.image_ids() - - def randomized_image_ids(self, num_samples=1) -> Tuple[List[Any], np.ndarray]: - """Get random image_id from loaded params. - - Args: - num_samples (int, optional): number of random samples to get. Defaults to 1. - - Returns: - Tuple[List[Any], np.ndarray]: tuple of image_ids and their corresponding - `self.image_ids` indices. - """ - n = np.random.randint(len(self.image_ids), size=(num_samples,), dtype=int) - # reorder self.image_ids to match the order of the sampled indices - return [self.image_ids[i] for i in n], n - - def apply_noise(self, images_mean): - images_mean = torch.clamp(images_mean, min=1e-6) - images = torch.sqrt(images_mean) * torch.randn_like(images_mean) - images += images_mean - return images - - def coadd_images(self, images): - batch_size = images.shape[0] - assert self.coadd_depth > 1, "Coadd depth must be > 1 to use coaddition." - coadded_images = np.zeros((batch_size, *images.shape[-3:])) # 4D - for b in range(batch_size): - coadded_images[b] = self.survey.coadd_images(images[b]) - return torch.from_numpy(coadded_images).float() - - def align_images(self, images, wcs_batch): - """Align images to the reference depth and band.""" - batch_size = images.shape[0] - for b in range(batch_size): - aligned_image = align( - images[b].numpy(), - wcs_list=wcs_batch[b], - ref_depth=0, - ref_band=self.catalog_prior.reference_band, - ) - images[b] = torch.from_numpy(aligned_image) - return images - - def simulate_images( - self, tile_catalog: RedshiftTileCatalog, image_ids, image_id_indices - ) -> Tuple[Tensor, Tensor, Tensor, Tensor]: - """Simulate a batch of images. - - Args: - tile_catalog (RedshiftTileCatalog): The RedshiftTileCatalog to render. - image_ids: List of image_ids to render, in `image_id_indices` order. - image_id_indices: Indices in self.image_ids to sample from. - - Returns: - Tuple[Tensor, Tensor, Tensor, Tensor]: tuple of images, backgrounds, deconvolved images, - and psf parameters - """ - images, psfs, psf_params, wcs_batch = self.image_decoder.render_images( - tile_catalog, image_ids, self.coadd_depth - ) - images = self.align_images(images, wcs_batch) - if self.use_coaddition: - images = self.coadd_images(images) - - background = self.background.sample(images.shape, image_id_indices=image_id_indices) - images += background - - images = self.apply_noise(images) - deconv_images = self.get_deconvolved_images(images, background, psfs) - return images, background, deconv_images, psf_params - - def get_deconvolved_images(self, images, backgrounds, psfs) -> Tensor: - """Deconvolve the synthetic images with the psf used to generate them. - - Args: - images (Tensor): batch of images - backgrounds (Tensor): batch of backgrounds - psfs (ndarray): batch of psfs - - Returns: - Tensor: batch of deconvolved images - """ - assert self.catalog_prior is not None, "Survey prior cannot be None." - - deconv_images = np.zeros_like(images) - for i in range(images.shape[0]): - for band in range(self.catalog_prior.n_bands): - deconv_images[i][band] = self.deconvolve_image( - images[i][band], backgrounds[i][band], psfs[i][band] - ) - return torch.from_numpy(deconv_images) - - def deconvolve_image(self, image, background, psf, pad=10): - """Deconvolve a single image. - - Args: - image (Tensor): the image to deconvolve - background (Tensor): background of the image (used for padding) - psf (ndarray): the psf used to generate the image - pad (int): the pad width (in pixels). Defaults to 10. - - Returns: - ndarray: the deconvolved image, same size as the original - """ - padded_image = np.pad(image, pad, mode="constant", constant_values=background.mean().item()) - normalized = padded_image / np.max(padded_image) - deconv = richardson_lucy(normalized, psf.original.image.array) - return deconv[pad:-pad, pad:-pad] - - def get_batch(self) -> Dict: - """Get a batch of simulated images. - - The images are simulated by first generating a tile catalog from the prior, followed - by choosing a random background and PSF and using those to generate the image. By default, - the same row, camcol, and field combination is used for the background, PSF, and flux ratios - of a single simulated image. - - Returns: - Dict: A dictionary of the simulated TileCatalog, (batch_size, bands, height, width) - tensors for images and background, and a (batch_size, 1, 6) tensor for the psf params. - """ - assert self.catalog_prior is not None, "Survey prior cannot be None." - - image_ids, image_id_indices = self.randomized_image_ids(self.catalog_prior.batch_size) - with torch.no_grad(): - tile_catalog = self.catalog_prior.sample() - images, background, deconv, psf_params = self.simulate_images( - tile_catalog, image_ids, image_id_indices - ) - return { - "tile_catalog": tile_catalog.to_dict(), - "images": images, - "background": background, - "deconvolution": deconv, - "psf_params": psf_params, - } - - def __iter__(self): - for _ in range(self.n_batches): - yield self.get_batch() - - def train_dataloader(self): - return DataLoader(self, batch_size=None, num_workers=self.num_workers) - - def val_dataloader(self): - if self.fix_validation_set: - valid: List[Dict[str, Tensor]] = [] - for _ in tqdm(range(self.valid_n_batches), desc="Generating fixed validation set"): - valid.append(self.get_batch()) - num_workers = 0 - else: - valid = self - num_workers = self.num_workers - return DataLoader(valid, batch_size=None, num_workers=num_workers) - - def test_dataloader(self): - return DataLoader(self, batch_size=None, num_workers=self.num_workers) - - def predict_dataloader(self): - return DataLoader(self, batch_size=None, num_workers=self.num_workers) - - -FileDatum = TypedDict( - "FileDatum", - { - "tile_catalog": RedshiftTileCatalog, - "images": torch.Tensor, - "background": torch.Tensor, - "deconvolution": torch.Tensor, - "psf_params": torch.Tensor, - }, -) - - -class RedshiftCachedSimulatedDataset(CachedSimulatedDataset): - def predict_dataloader(self): - assert self.data, "No cached test data found; run `generate.py` first" - return DataLoader(self.data, batch_size=self.batch_size, num_workers=self.num_workers) diff --git a/case_studies/redshift_estimation/variational_dist.py b/case_studies/redshift_estimation/variational_dist.py deleted file mode 100644 index d31bae988..000000000 --- a/case_studies/redshift_estimation/variational_dist.py +++ /dev/null @@ -1,84 +0,0 @@ -import torch - -from bliss.catalog import SourceType -from bliss.encoder.unconstrained_dists import UnconstrainedNormal -from bliss.encoder.variational_dist import VariationalDist, VariationalDistSpec -from case_studies.redshift_estimation.catalog import RedshiftTileCatalog - - -class RedshiftVariationalDistSpec(VariationalDistSpec): - def __init__( - self, - *args, - **kwargs, - ): - super().__init__(*args, **kwargs) - self.factor_specs["redshift"] = UnconstrainedNormal() - - def make_dist(self, x_cat): - # override this method to instantiate a subclass of VariationalGrid, e.g., - # one with additional distribution parameter groups - factors = self._parse_factors(x_cat) - return RedshiftVariationalDist(factors, self.survey_bands, self.tile_slen) - - -class RedshiftVariationalDist(VariationalDist): - def sample(self, use_mode=False) -> RedshiftTileCatalog: - """Sample the variational distribution. - - Args: - use_mode: whether to use the mode of the distribution instead of random sampling - - Returns: - RedshiftTileCatalog: Sampled catalog - """ - q = self.factors - - locs = q["loc"].mode if use_mode else q["loc"].sample().squeeze(0) - est_cat = {"locs": locs} - - # populate catalog with per-band (log) star fluxes - sf_factors = [q[f"star_flux_{band}"] for band in self.survey_bands] - sf_lst = [p.mode if use_mode else p.sample() for p in sf_factors] - est_cat["star_fluxes"] = torch.stack(sf_lst, dim=3) - - # populate catalog with source type - galaxy_bools = q["galaxy_prob"].mode if use_mode else q["galaxy_prob"].sample() - galaxy_bools = galaxy_bools.unsqueeze(3) - star_bools = 1 - galaxy_bools - est_cat["source_type"] = SourceType.STAR * star_bools + SourceType.GALAXY * galaxy_bools - - # populate catalog with galaxy parameters - gs_dists = [q[f"galsim_{name}"] for name in self.GALSIM_NAMES] - gs_param_lst = [d.icdf(torch.tensor(0.5)) if use_mode else d.sample() for d in gs_dists] - est_cat["galaxy_params"] = torch.stack(gs_param_lst, dim=3) - - # populate catalog with per-band galaxy fluxes - gf_dists = [q[f"galaxy_flux_{band}"] for band in self.survey_bands] - gf_lst = [d.icdf(torch.tensor(0.5)) if use_mode else d.sample() for d in gf_dists] - est_cat["galaxy_fluxes"] = torch.stack(gf_lst, dim=3) - - # we have to unsqueeze these tensors because a TileCatalog can store multiple - # light sources per tile, but we sample only one source per tile - for k, v in est_cat.items(): - est_cat[k] = v.unsqueeze(3) - - # n_sources is not unsqueezed because it is a single integer per tile regardless of - # how many light sources are stored per tile - est_cat["n_sources"] = q["on_prob"].mode if use_mode else q["on_prob"].sample() - - est_cat["redshifts"] = q["redshift"].mode if use_mode else q["redshift"].sample() - - return RedshiftTileCatalog(self.tile_slen, est_cat) - - def compute_nll(self, true_tile_cat: RedshiftTileCatalog): - loss_old_params = super().compute_nll(true_tile_cat) - q = self.factors - - # redshift loss - # TODO: more elegant shapes, shouldn't need to squeeze - # TODO: make true_tiles_cat.redshifts - true_redshifts = true_tile_cat["data"]["redshifts"].squeeze(-1) - redshift_loss = -1 * q["redshift"].log_prob(true_redshifts).squeeze(-1) - redshift_loss *= true_tile_cat.n_sources - return loss_old_params + redshift_loss From 6d7ace60bdb9f4251bb1493160777b9c69a12914 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Fri, 14 Jun 2024 15:12:52 -0400 Subject: [PATCH 15/27] format --- bliss/conf/base_config.yaml | 2 +- bliss/simulator/prior.py | 48 ++++++++++++++++++------------------- 2 files changed, 24 insertions(+), 26 deletions(-) diff --git a/bliss/conf/base_config.yaml b/bliss/conf/base_config.yaml index 827755413..f0be9abdd 100644 --- a/bliss/conf/base_config.yaml +++ b/bliss/conf/base_config.yaml @@ -292,7 +292,7 @@ train: seed: 42 pretrained_weights: null testing: true - test_best: false + test_best: true predict: dataset: ${surveys.sdss} diff --git a/bliss/simulator/prior.py b/bliss/simulator/prior.py index 117d97330..4b3d00f36 100644 --- a/bliss/simulator/prior.py +++ b/bliss/simulator/prior.py @@ -3,12 +3,12 @@ from typing import Tuple import numpy as np +import pandas as pd import pytorch_lightning as pl import torch from scipy.stats import truncpareto from torch import Tensor from torch.distributions import Gamma, Poisson, Uniform -import pandas as pd from bliss.catalog import SourceType, TileCatalog @@ -112,22 +112,22 @@ def __init__( self.reference_band = reference_band self.gmm_star, self.gmm_gal = self._load_color_models() - # self.array = ( - # pd.read_csv( - # "/data/scratch/declan/dc2_truth_galaxies_mini_clean.csv", - # header=0, - # dtype={ - # "mag_u": float, - # "mag_g": float, - # "mag_r": float, - # "mag_i": float, - # "mag_z": float, - # "redshift": float, - # }, - # ) - # .to_numpy()[:, 1:] - # .astype(float) - # ) + self.array = ( + pd.read_csv( + "/data/scratch/declan/dc2_truth_galaxies_mini_clean.csv", + header=0, + dtype={ + "mag_u": float, + "mag_g": float, + "mag_r": float, + "mag_i": float, + "mag_z": float, + "redshift": float, + }, + ) + .to_numpy()[:, 1:] # noqa: WPS348 + .astype(float) # noqa: WPS348 + ) def sample(self) -> TileCatalog: """Samples latent variables from the prior of an astronomical image. @@ -144,7 +144,6 @@ def sample(self) -> TileCatalog: n_sources = self._sample_n_sources() source_type = self._sample_source_type() - # redshift = self._sample_redshift(indices) catalog_params = { "n_sources": n_sources, @@ -153,7 +152,6 @@ def sample(self) -> TileCatalog: "galaxy_fluxes": galaxy_fluxes, "galaxy_params": galaxy_params, "star_fluxes": star_fluxes, - # "redshift": redshift, } return TileCatalog(self.tile_slen, catalog_params) @@ -197,12 +195,12 @@ def _sample_star_fluxes(self): # select specified bands bands = np.array(range(self.n_bands)) return total_flux[..., bands] - - # def _sample_indices(self): - # return np.random.choice(range(len(self.array)), size=self.latent_dims, replace=True) - - # def _sample_redshift(self, indices): - # return torch.from_numpy(np.take(self.array[:, -1], indices)) + + def _sample_indices(self): + return np.random.choice(range(len(self.array)), size=self.latent_dims, replace=True) + + def _sample_redshift(self, indices): + return torch.from_numpy(np.take(self.array[:, -1], indices)) def _load_color_models(self): # Load models from disk From e8e6d8753edf571f9ec4440cac7c17ce275ce9f0 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Fri, 14 Jun 2024 15:30:21 -0400 Subject: [PATCH 16/27] make same as master --- bliss/simulator/prior.py | 24 ------------------------ 1 file changed, 24 deletions(-) diff --git a/bliss/simulator/prior.py b/bliss/simulator/prior.py index 4b3d00f36..7814ec484 100644 --- a/bliss/simulator/prior.py +++ b/bliss/simulator/prior.py @@ -3,7 +3,6 @@ from typing import Tuple import numpy as np -import pandas as pd import pytorch_lightning as pl import torch from scipy.stats import truncpareto @@ -112,23 +111,6 @@ def __init__( self.reference_band = reference_band self.gmm_star, self.gmm_gal = self._load_color_models() - self.array = ( - pd.read_csv( - "/data/scratch/declan/dc2_truth_galaxies_mini_clean.csv", - header=0, - dtype={ - "mag_u": float, - "mag_g": float, - "mag_r": float, - "mag_i": float, - "mag_z": float, - "redshift": float, - }, - ) - .to_numpy()[:, 1:] # noqa: WPS348 - .astype(float) # noqa: WPS348 - ) - def sample(self) -> TileCatalog: """Samples latent variables from the prior of an astronomical image. @@ -196,12 +178,6 @@ def _sample_star_fluxes(self): bands = np.array(range(self.n_bands)) return total_flux[..., bands] - def _sample_indices(self): - return np.random.choice(range(len(self.array)), size=self.latent_dims, replace=True) - - def _sample_redshift(self, indices): - return torch.from_numpy(np.take(self.array[:, -1], indices)) - def _load_color_models(self): # Load models from disk with warnings.catch_warnings(): From 9edb38ef3a288b0c01b1f969aaf36ca0ee97096b Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Mon, 17 Jun 2024 09:33:07 -0400 Subject: [PATCH 17/27] change config --- .../redshift/redshift_from_img/full_train_config.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/case_studies/redshift/redshift_from_img/full_train_config.yaml b/case_studies/redshift/redshift_from_img/full_train_config.yaml index 6ba1ca84f..10d6b5758 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config.yaml @@ -95,8 +95,8 @@ train: # val_check_interval: 0.25 check_val_every_n_epoch: 1 # devices: [0, 2, 3, 4] - devices: [5] - max_epochs: 1 + devices: [5, 7] + max_epochs: 25 callbacks: checkpointing: _target_: pytorch_lightning.callbacks.ModelCheckpoint From 7d5d2d2162683a389405859fe1eae4208be48c06 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Mon, 17 Jun 2024 11:03:49 -0400 Subject: [PATCH 18/27] format --- bliss/catalog.py | 2 +- bliss/encoder/encoder.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/bliss/catalog.py b/bliss/catalog.py index befc0dccb..f33c450c9 100644 --- a/bliss/catalog.py +++ b/bliss/catalog.py @@ -144,7 +144,7 @@ def to_full_catalog(self): plocs = self.get_full_locs_from_tiles() param_names_to_mask = {"plocs"}.union(set(self.keys())) tile_params_to_gather = {"plocs": plocs} - tile_params_to_gather.update(self) # add other params + tile_params_to_gather.update(self) # add other params params = {} indices_to_retrieve, is_on_array = self.get_indices_of_on_sources() diff --git a/bliss/encoder/encoder.py b/bliss/encoder/encoder.py index d9f488aeb..c0af39264 100644 --- a/bliss/encoder/encoder.py +++ b/bliss/encoder/encoder.py @@ -145,7 +145,7 @@ def interleave_catalogs(self, marginal_cat, cond_cat, marginal_mask): mm5d = rearrange(marginal_mask, "b ht wt -> b ht wt 1 1") for k, v in marginal_cat.items(): mm = marginal_mask if k == "n_sources" else mm5d - d[k] = v * mm + cond_cat[k] * (1 - mm) + d[k] = v * mm + cond_cat[k] * (1 - mm) return TileCatalog(self.tile_slen, d) def sample(self, batch, use_mode=True): From 03d7f7cdd578f6643934077a2dcca09b8779f934 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Mon, 17 Jun 2024 15:01:02 -0400 Subject: [PATCH 19/27] pred redshift only --- .../redshift_from_img/encoder/encoder.py | 18 ++++ .../redshift_from_img/encoder/metrics.py | 22 +++++ .../encoder/variational_dist.py | 9 ++ .../redshift_from_img/full_train_config.yaml | 84 ++++++++++--------- 4 files changed, 94 insertions(+), 39 deletions(-) create mode 100644 case_studies/redshift/redshift_from_img/encoder/encoder.py create mode 100644 case_studies/redshift/redshift_from_img/encoder/metrics.py create mode 100644 case_studies/redshift/redshift_from_img/encoder/variational_dist.py diff --git a/case_studies/redshift/redshift_from_img/encoder/encoder.py b/case_studies/redshift/redshift_from_img/encoder/encoder.py new file mode 100644 index 000000000..0cacce775 --- /dev/null +++ b/case_studies/redshift/redshift_from_img/encoder/encoder.py @@ -0,0 +1,18 @@ +from bliss.catalog import BaseTileCatalog +from bliss.encoder.encoder import Encoder + + +class RedshiftsEncoder(Encoder): + def update_metrics(self, batch, batch_idx): + target_cat = BaseTileCatalog(self.tile_slen, batch["tile_catalog"]) + target_cat = target_cat.symmetric_crop(self.tiles_to_crop) + + mode_cat = self.sample(batch, use_mode=True) + self.mode_metrics.update(target_cat, mode_cat) + + sample_cat = self.sample(batch, use_mode=False) + self.sample_metrics.update(target_cat, sample_cat) + + def on_validation_epoch_end(self): + self.report_metrics(self.mode_metrics, "val/mode", show_epoch=True) + self.report_metrics(self.sample_metrics, "val/sample", show_epoch=True) diff --git a/case_studies/redshift/redshift_from_img/encoder/metrics.py b/case_studies/redshift/redshift_from_img/encoder/metrics.py new file mode 100644 index 000000000..db91c5b2a --- /dev/null +++ b/case_studies/redshift/redshift_from_img/encoder/metrics.py @@ -0,0 +1,22 @@ +import torch +from torchmetrics import Metric + + +class RedshiftMeanSquaredError(Metric): + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.add_state("sum_squared_error", default=torch.zeros(1), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") + + def update(self, true_cat, est_cat): + for i in range(true_cat.batch_size): + true_red = true_cat["redshifts"][i] + est_red = est_cat["redshifts"][i] + red_err = ((true_red - est_red).abs() ** 2).sum() + self.total += torch.flatten(true_cat["redshifts"][i]).shape[0] + + self.sum_squared_error += red_err + + def compute(self): + mse = self.sum_squared_error / self.total + return {"redshifts/mse": mse.item()} diff --git a/case_studies/redshift/redshift_from_img/encoder/variational_dist.py b/case_studies/redshift/redshift_from_img/encoder/variational_dist.py new file mode 100644 index 000000000..470cf0824 --- /dev/null +++ b/case_studies/redshift/redshift_from_img/encoder/variational_dist.py @@ -0,0 +1,9 @@ +from bliss.catalog import BaseTileCatalog +from bliss.encoder.variational_dist import VariationalDist + + +class RedshiftVariationalDist(VariationalDist): + def sample(self, x_cat, use_mode=True): + fp_pairs = self._factor_param_pairs(x_cat) + d = {qk.name: qk.sample(params, use_mode) for qk, params in fp_pairs} + return BaseTileCatalog(self.tile_slen, d) diff --git a/case_studies/redshift/redshift_from_img/full_train_config.yaml b/case_studies/redshift/redshift_from_img/full_train_config.yaml index 10d6b5758..b08911c45 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config.yaml @@ -10,41 +10,41 @@ global_setting: min_flux_for_loss: 50 # you need to regenerate split_results after changing this number variational_factors: - - _target_: bliss.encoder.variational_dist.BernoulliFactor - name: n_sources - sample_rearrange: null - nll_rearrange: null - nll_gating: null - - _target_: bliss.encoder.variational_dist.BernoulliFactor - name: source_type - sample_rearrange: "b ht wt -> b ht wt 1 1" - nll_rearrange: "b ht wt 1 1 -> b ht wt" - nll_gating: n_sources - - _target_: bliss.encoder.variational_dist.TDBNFactor - name: locs - sample_rearrange: "b ht wt d -> b ht wt 1 d" - nll_rearrange: "b ht wt 1 d -> b ht wt d" - nll_gating: n_sources - - _target_: bliss.encoder.variational_dist.LogNormalFactor - name: star_fluxes - dim: 6 - sample_rearrange: "b ht wt d -> b ht wt 1 d" - nll_rearrange: "b ht wt 1 d -> b ht wt d" - nll_gating: is_star - - _target_: bliss.encoder.variational_dist.LogNormalFactor - name: galaxy_fluxes - dim: 6 - sample_rearrange: "b ht wt d -> b ht wt 1 d" - nll_rearrange: "b ht wt 1 d -> b ht wt d" - nll_gating: is_galaxy + # - _target_: bliss.encoder.variational_dist.BernoulliFactor + # name: n_sources + # sample_rearrange: null + # nll_rearrange: null + # nll_gating: null + # - _target_: bliss.encoder.variational_dist.BernoulliFactor + # name: source_type + # sample_rearrange: "b ht wt -> b ht wt 1 1" + # nll_rearrange: "b ht wt 1 1 -> b ht wt" + # nll_gating: n_sources + # - _target_: bliss.encoder.variational_dist.TDBNFactor + # name: locs + # sample_rearrange: "b ht wt d -> b ht wt 1 d" + # nll_rearrange: "b ht wt 1 d -> b ht wt d" + # nll_gating: n_sources + # - _target_: bliss.encoder.variational_dist.LogNormalFactor + # name: star_fluxes + # dim: 6 + # sample_rearrange: "b ht wt d -> b ht wt 1 d" + # nll_rearrange: "b ht wt 1 d -> b ht wt d" + # nll_gating: is_star + # - _target_: bliss.encoder.variational_dist.LogNormalFactor + # name: galaxy_fluxes + # dim: 6 + # sample_rearrange: "b ht wt d -> b ht wt 1 d" + # nll_rearrange: "b ht wt 1 d -> b ht wt d" + # nll_gating: is_galaxy - _target_: bliss.encoder.variational_dist.NormalFactor name: redshifts sample_rearrange: "b ht wt -> b ht wt 1 1" nll_rearrange: "b ht wt 1 1 -> b ht wt" - nll_gating: is_galaxy + nll_gating: null encoder: - _target_: bliss.encoder.encoder.Encoder + _target_: case_studies.redshift.redshift_from_img.encoder.encoder.RedshiftsEncoder survey_bands: ["g", "i", "r", "u", "y", "z"] tile_slen: 4 tiles_to_crop: 1 @@ -65,29 +65,35 @@ encoder: log_transform_stdevs: [] use_clahe: true clahe_min_stdev: 200 - matcher: - _target_: bliss.encoder.metrics.CatalogMatcher - dist_slack: 1.0 - mag_slack: null - mag_band: 2 # SDSS r-band + # matcher: + # _target_: bliss.encoder.metrics.CatalogMatcher + # dist_slack: 1.0 + # mag_slack: null + # mag_band: 2 # SDSS r-band metrics: _target_: torchmetrics.MetricCollection _convert_: "partial" metrics: ${my_metrics} + var_dist: + _target_: case_studies.redshift.redshift_from_img.encoder.variational_dist.RedshiftVariationalDist + tile_slen: ${encoder.tile_slen} + factors: ${variational_factors} + use_checkerboard: false my_metrics: redshift_mearn_square_error: - _target_: case_studies.redshift.redshift_from_img.metrics.RedshiftMeanSquaredError + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredError train: trainer: logger: name: DC2_redshift_training - version: DC2_redshift_test + version: DC2_redshift_only_all save_dir: ${paths.root}/case_studies/redshift/redshift_from_img/ precision: 32 strategy: _target_: pytorch_lightning.strategies.DDPStrategy + find_unused_parameters: true process_group_backend: nccl timeout: _target_: datetime.timedelta @@ -95,16 +101,16 @@ train: # val_check_interval: 0.25 check_val_every_n_epoch: 1 # devices: [0, 2, 3, 4] - devices: [5, 7] + devices: [0] max_epochs: 25 callbacks: checkpointing: _target_: pytorch_lightning.callbacks.ModelCheckpoint - filename: encoder_{val/mode/Mean squared error:.6f} + filename: encoder_{val/mode/redshifts/mse:.6f} save_top_k: 5 verbose: True # monitor: val/_loss - monitor: val/mode/Mean squared error + monitor: val/mode/redshifts/mse mode: min data_source: ${surveys.dc2} pretrained_weights: null From 4eec708e415afaa8c9241a77478dd5f7f0868103 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Wed, 3 Jul 2024 14:14:36 -0400 Subject: [PATCH 20/27] bliss pred redshift --- .../evaluation/DC2output/bliss_output.pkl | Bin 0 -> 2089 bytes .../evaluation/DC2output/bliss_output_all.pkl | Bin 0 -> 1144 bytes .../evaluation/DC2output/gt_output.pkl | Bin 0 -> 2089 bytes .../evaluation/DC2output/gt_output_all.pkl | Bin 0 -> 1144 bytes .../redshift/evaluation/dc2_plot.ipynb | 772 ++++++++++++++++++ .../redshift/evaluation/notebook_plot.yaml | 61 ++ .../redshift/evaluation/utils/convnet.py | 101 +++ .../redshift/evaluation/utils/encoder.py | 25 + .../evaluation/utils/image_normalizer.py | 279 +++++++ .../redshift/evaluation/utils/load_lsst.py | 104 +++ .../redshift/evaluation/utils/metrics.py | 73 ++ .../utils/safe_metric_collection.py | 22 + .../DC2_generate_cat_split_data.ipynb | 268 ++++++ .../redshift_from_img/DC2_redshift_plot.ipynb | 714 ++++++++++++++++ .../redshift_from_img/encoder/encoder.py | 17 +- .../redshift_from_img/encoder/metrics.py | 412 +++++++++- .../redshift_from_img/full_train_config.yaml | 96 ++- .../full_train_config_redshift.yaml | 124 +++ .../redshift/redshift_from_img/train.sh | 11 +- 19 files changed, 3029 insertions(+), 50 deletions(-) create mode 100644 case_studies/redshift/evaluation/DC2output/bliss_output.pkl create mode 100644 case_studies/redshift/evaluation/DC2output/bliss_output_all.pkl create mode 100644 case_studies/redshift/evaluation/DC2output/gt_output.pkl create mode 100644 case_studies/redshift/evaluation/DC2output/gt_output_all.pkl create mode 100644 case_studies/redshift/evaluation/dc2_plot.ipynb create mode 100644 case_studies/redshift/evaluation/notebook_plot.yaml create mode 100644 case_studies/redshift/evaluation/utils/convnet.py create mode 100644 case_studies/redshift/evaluation/utils/encoder.py create mode 100644 case_studies/redshift/evaluation/utils/image_normalizer.py create mode 100644 case_studies/redshift/evaluation/utils/load_lsst.py create mode 100644 case_studies/redshift/evaluation/utils/metrics.py create mode 100644 case_studies/redshift/evaluation/utils/safe_metric_collection.py create mode 100644 case_studies/redshift/redshift_from_img/DC2_generate_cat_split_data.ipynb create mode 100644 case_studies/redshift/redshift_from_img/DC2_redshift_plot.ipynb create mode 100644 case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml diff --git a/case_studies/redshift/evaluation/DC2output/bliss_output.pkl b/case_studies/redshift/evaluation/DC2output/bliss_output.pkl new file mode 100644 index 0000000000000000000000000000000000000000..86b8fd1882f6dbe8b32d63bce2e3daa1a36c9a92 GIT binary patch literal 2089 zcmeIwJx|*}7zc2_B|)KvsFfa82W@P3<&1~_y${k{J-;azw@~EYiZ7S7$fZ!uLOx@Lidz> zeOfrE_e0>R%-Dyn1E!-!%XyKHFG2RpG z2oFyck&xPWZ5qbdx@e~Ne>U&l9bA8T(-~WzZ*91axZ$A|^l~hiVi8O62@#UAjGGWZ zF1$&pQYpbCi)ol~>l`(qs7{Xwmh=aa+#YeqLp3PMgbBrKfrV^%qM73Lz(LMr4VLZm zM&RT*eA7dXNqE{aH=>6vG&iAf^>tcoauY2;X06xtdwswEp}*{}t#S+1p%~?H__53F zpuVNJvjYo$=f+cUGwe+AlX3O;V%=R@T>tm>_rU#jIJjBa9_UMFpwINK4vcpDXE6_( zPf4U;@8CVZEn)%(^NB_Z2-~|_LGr1yTGol4ZG!3#k0!U*^07N^3TZ+|g* z$^#tIK-b$Je0&g>ZlL4sH#^5D;Lr_pyZzd%MqIjqPPbqAtP-dhtJ8okw_h-+r~xF6 z6!Lkwi79ZWANPHzfJ+|a_C1eU8*s^k9Y0-v0WNuv>({@#bpV$<$ocCM&o|(b2f2S~ zlY9b5UI7vE`K2W}nW;tbX+??2C7JnoaKGI8PzzK_SS`q37w*r0K#W?DACI_m93Vz5 z$iKV#eHIX-7UcJBHpxVp3krwjTNXS3nX8H?9Fh}D65)ZddBYb4qBVd*WbUtw14L^8 p1xxQ`W}tc^odgP-_D_MtYXAjM^G0h0qHO?$Qq{f{2|x{{dH^~@t(pJ; literal 0 HcmV?d00001 diff --git a/case_studies/redshift/evaluation/DC2output/gt_output.pkl b/case_studies/redshift/evaluation/DC2output/gt_output.pkl new file mode 100644 index 0000000000000000000000000000000000000000..d76e34db2deba015d1e3c4cabe9b9f9ec5f99b75 GIT binary patch literal 2089 zcmeIwzfRjg90zd!OHu`b5LK(PRH&1)q=AIgVMG;+)t16?OLcPW3%<(uxIadsQlu8LS0)|+BqRoYAqxYl^8miVmVf@<`FEf5xN`aSh4DB>+Ra}I63Lhj zm3+T12_DcCw{S5 zy2oq2lV$Kt7u6==Y0KOQAGc87g2vVEv{>gRT7XQyS#jqpEclHZ&&AE4HOWuLpH~b0_}{%Ze0S?LfB*H)@2mBVI&E{!7 z2b)hws9^8lJ@-XK1P3CMBdKaguB3i;96&^AKnkT&Jph5vgU$c| literal 0 HcmV?d00001 diff --git a/case_studies/redshift/evaluation/dc2_plot.ipynb b/case_studies/redshift/evaluation/dc2_plot.ipynb new file mode 100644 index 000000000..3ec46669a --- /dev/null +++ b/case_studies/redshift/evaluation/dc2_plot.ipynb @@ -0,0 +1,772 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this notebook, we will do some plots to estimate redshift results for 3 methods below:\n", + "1. bliss redshift estimate directly from images\n", + "2. redshift estimate based on GT mag \n", + "3. redshift estimate based on LSST predicted flux\n", + "\n", + "each plot should have metrics vs galaxy fluxes" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "from os import environ\n", + "from pathlib import Path\n", + "from einops import rearrange\n", + "import pickle\n", + "from tqdm import tqdm\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "from hydra import initialize, compose\n", + "from hydra.utils import instantiate\n", + "\n", + "from pytorch_lightning.utilities import move_data_to_device\n", + "\n", + "from bliss.catalog import FullCatalog, BaseTileCatalog, TileCatalog\n", + "from bliss.surveys.dc2 import DC2, unsqueeze_tile_dict\n", + "from case_studies.redshift.evaluation.utils.load_lsst import get_lsst_full_cat\n", + "from case_studies.redshift.evaluation.utils.safe_metric_collection import SafeMetricCollection as MetricCollection\n", + "from case_studies.redshift.redshift_from_img.encoder.metrics import RedshiftMeanSquaredErrorBin\n", + "\n", + "environ[\"BLISS_HOME\"] = str(Path().resolve().parents[2])\n", + "\n", + "output_dir = Path(\"./DC2output/\")\n", + "output_dir.mkdir(parents=True, exist_ok=True)\n", + "\n", + "# change this model path according to your training setting\n", + "model_path = \"/home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/DC2_redshift_only_bin/checkpoints/encoder_0.174964.ckpt\"\n", + "lsst_root_dir = \"/data/scratch/dc2_nfs/\"\n", + "\n", + "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", + "# device = torch.device(\"cpu\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=\".\", version_base=None):\n", + " notebook_cfg = compose(\"notebook_plot\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# set up testing dataset\n", + "dataset = instantiate(notebook_cfg.train.data_source)\n", + "dataset.setup()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# example of test dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "len(dataset.image_ids())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "len(dataset.test_dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "x = 0\n", + "for i in dataset.test_dataset:\n", + " x = i\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "x['tile_catalog']['redshifts'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "x[\"split_id\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "x[\"images\"].shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1. bliss redshift estimate directly from images" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# Loop through the test set and update the metric\n", + "# load bliss trained model\n", + "bliss_encoder = instantiate(notebook_cfg.encoder).to(device=device)\n", + "pretrained_weights = torch.load(model_path, device)[\"state_dict\"]\n", + "bliss_encoder.load_state_dict(pretrained_weights)\n", + "bliss_encoder.eval();\n", + "# for batch_idx, batch in tqdm(enumerate(dataset.test_dataloader()), total=len(dataset.test_dataloader())):\n", + "# batch[\"images\"] = batch[\"images\"].to(device)\n", + "# bliss_encoder.update_metrics(batch, batch_idx)\n", + "\n", + "# bliss_out_dict = bliss_encoder.mode_metrics.compute()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 383/383 [06:04<00:00, 1.05it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54577., 29581., 10163., 5388., 3120., 15162.], device='cuda:0')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "bliss_output_path = output_dir / \"bliss_output_all.pkl\"\n", + "\n", + "if not bliss_output_path.exists():\n", + " for batch_idx, batch in tqdm(enumerate(dataset.test_dataloader()), total=len(dataset.test_dataloader())):\n", + " batch[\"images\"] = batch[\"images\"].to(device)\n", + " bliss_encoder.update_metrics(batch, batch_idx)\n", + " bliss_out_dict = bliss_encoder.mode_metrics.compute()\n", + "\n", + " with open(bliss_output_path, \"wb\") as outp: # Overwrites any existing file.\n", + " pickle.dump(bliss_out_dict, outp, pickle.HIGHEST_PROTOCOL)\n", + "else:\n", + " with open(bliss_output_path, \"rb\") as inputp:\n", + " bliss_out_dict = pickle.load(inputp)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'redshifts/bias_bin_0': -0.01940205879509449,\n", + " 'redshifts/bias_bin_1': -0.014454119838774204,\n", + " 'redshifts/bias_bin_2': -0.012397130951285362,\n", + " 'redshifts/bias_bin_3': -0.0178708266466856,\n", + " 'redshifts/bias_bin_4': -0.016601406037807465,\n", + " 'redshifts/bias_bin_5': -0.02073412574827671,\n", + " 'redshifts/mse_bin_0': 0.27121469378471375,\n", + " 'redshifts/mse_bin_1': 0.13976307213306427,\n", + " 'redshifts/mse_bin_2': 0.07524657994508743,\n", + " 'redshifts/mse_bin_3': 0.057453203946352005,\n", + " 'redshifts/mse_bin_4': 0.05058649182319641,\n", + " 'redshifts/mse_bin_5': 0.03236730396747589,\n", + " 'redshifts/nmad_bin_0': 0.18206419050693512,\n", + " 'redshifts/nmad_bin_1': 0.11283144354820251,\n", + " 'redshifts/nmad_bin_2': 0.07652566581964493,\n", + " 'redshifts/nmad_bin_3': 0.06236919015645981,\n", + " 'redshifts/nmad_bin_4': 0.0593399852514267,\n", + " 'redshifts/nmad_bin_5': 0.042008381336927414,\n", + " 'redshifts/outlier_fraction_bin_0': 0.4209282398223877,\n", + " 'redshifts/outlier_fraction_bin_1': 0.26364895701408386,\n", + " 'redshifts/outlier_fraction_bin_2': 0.15841779112815857,\n", + " 'redshifts/outlier_fraction_bin_3': 0.10374907404184341,\n", + " 'redshifts/outlier_fraction_bin_4': 0.08685897290706635,\n", + " 'redshifts/outlier_fraction_bin_5': 0.04629996046423912,\n", + " 'redshifts/outlier_fraction_cata_bin_0': 0.07691884785890579,\n", + " 'redshifts/outlier_fraction_cata_bin_1': 0.029275547713041306,\n", + " 'redshifts/outlier_fraction_cata_bin_2': 0.014562629163265228,\n", + " 'redshifts/outlier_fraction_cata_bin_3': 0.011692650616168976,\n", + " 'redshifts/outlier_fraction_cata_bin_4': 0.009615384973585606,\n", + " 'redshifts/outlier_fraction_cata_bin_5': 0.006529481615871191}" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bliss_out_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", + "mse_values = [bliss_out_dict[f'redshifts/mse_bin_{i}'] for i in range(5)]\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(flux_ranges, mse_values)\n", + "plt.xlabel('Flux Range')\n", + "plt.ylabel('Mean Squared Error')\n", + "plt.title('Mean Squared Error per Flux Range')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", + "bias_values = [bliss_out_dict[f'redshifts/bias_bin_{i}'] for i in range(5)]\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(flux_ranges, bias_values)\n", + "plt.xlabel('Flux Range')\n", + "plt.ylabel('Bias')\n", + "plt.title('Bias per Flux Range')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", + "nmad_values = [bliss_out_dict[f'redshifts/nmad_bin_{i}'] for i in range(5)]\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(flux_ranges, nmad_values)\n", + "plt.xlabel('Flux Range')\n", + "plt.ylabel('NMAD')\n", + "plt.title('NMAD per Flux Range')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", + "outlier_fraction_values = [bliss_out_dict[f'redshifts/outlier_fraction_bin_{i}'] for i in range(5)]\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(flux_ranges, outlier_fraction_values)\n", + "plt.xlabel('Flux Range')\n", + "plt.ylabel('Outlier Fraction')\n", + "plt.title('Outlier Fraction per Flux Range')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1cAAAIjCAYAAADvBuGTAAAAPHRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMHJjMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy+OBYQFAAAACXBIWXMAAA9hAAAPYQGoP6dpAACN3ElEQVR4nOzdeVxU9eLG8WeGfXdBwQVFxV1Ts8RdU5JKM6tbZt0s9Va2uERa2i2XNlvULDXNbvvvWmaLqZlppKaJmUvuouKCGygqoCDrnN8fxlwnUBkBD8vn/XrNKznzPTPPDIeJh3PO91gMwzAEAAAAACgSq9kBAAAAAKA8oFwBAAAAQDGgXAEAAABAMaBcAQAAAEAxoFwBAAAAQDGgXAEAAABAMaBcAQAAAEAxoFwBAAAAQDGgXAEAAABAMaBcASizPvnkE1ksFh08eNC+rHv37urevbtpmUqb0NBQPfzww2bHwFUIDQ1Vnz59rjhu5cqVslgsWrlyZcmHKkXYtgGURpQrAMVmx44d+uc//6latWrJw8NDNWvW1AMPPKAdO3YU6XFfe+01LViwoHhCFqPu3bvLYrEUeNu9e/c1y7F27VpNmDBBycnJ1+w5CysuLk6PPfaY6tevL09PT/n7+6tTp0565513dP78eacf77333tMnn3xS/EEvUprfz4og748mBd3GjBljdjw9/PDDDpk8PDzUqFEjjRs3ThkZGWbHA2AyV7MDACgfvv32Ww0YMEBVqlTRkCFDVK9ePR08eFAffvihvv76a3355Ze68847r+qxX3vtNf3jH/9Qv379rjh22bJlV/UcV6t27dqaNGlSvuU1a9a8ZhnWrl2riRMn6uGHH1alSpUc7ouNjZXVas7f0X744Qfdc8898vDw0MCBA9WiRQtlZWVpzZo1Gj16tHbs2KE5c+Y49ZjvvfeeAgMDS3SPxeXez9Koa9euOn/+vNzd3c2OUqxeeukl1atXz2FZixYtTErjyMPDQ//5z38kSSkpKfr+++/18ssvKy4uTv/9739NTgfATJQrAEUWFxenBx98UPXr19evv/6qatWq2e8bMWKEunTpogcffFBbt25V/fr1SzRLcf6CabPZlJWVJU9Pz0uOCQgI0D//+c9CP2ZaWpp8fHyKI16heHh4XLPnutiBAwd03333qW7duvrll19Uo0YN+31PPvmk9u3bpx9++MGUbMWpMNtISbNaraY+/9UozM/BrbfeqhtuuOEaJXKOq6urw8/9E088oY4dO+qLL77Q1KlTFRQUZGI6AGbisEAARfbWW28pPT1dc+bMcShWkhQYGKj3339faWlpevPNN+3LH374YYWGhuZ7rAkTJshisdi/tlgsSktL06effmo/DOdyey0KOucqMzNT48ePV1hYmDw8PBQSEqJnn31WmZmZDuMsFoueeuop/fe//1Xz5s3l4eGhpUuXFv6N+JuHH35Yvr6+iouL02233SY/Pz898MADkqTVq1frnnvuUZ06deyZnn766QIPldu9e7fuvfdeVatWTV5eXmrcuLH+/e9/S7rwfo0ePVqSVK9ePft7lHceWkHnpezfv1/33HOPqlSpIm9vb7Vv3z5f0ck7j+err77Sq6++qtq1a8vT01M9e/bUvn37rvja33zzTZ07d04ffvihQ7HKExYWphEjRti//vjjj9WjRw9Vr15dHh4eatasmWbNmuWwTmhoqHbs2KFVq1bZX2fe9/r06dMaNWqUWrZsKV9fX/n7++vWW2/Vli1b8j339OnT1bx5c3l7e6ty5cq64YYbNHfu3EK9n5fbRjZv3qxbb71V/v7+8vX1Vc+ePbVu3TqH58475O3XX3/VY489pqpVq8rf318DBw7UmTNnCnwv16xZo3bt2snT01P169fXZ5995nD/pc65+v3333XbbbepcuXK8vHx0XXXXad33nmnwOe42nw//vijunTpIh8fH/n5+al37975DgO+3M9Bcfr7Z8ffX1Pe9/CXX36R1WrVuHHjHMbNnTtXFosl33ZXGBaLRZ07d5ZhGNq/f799+aFDh/TEE0+ocePG8vLyUtWqVXXPPfc4nCd6ccbffvtNUVFRqlatmnx8fHTnnXfq5MmTDmNtNpsmTJigmjVrytvbWzfddJN27txZ4M96cnKyRo4cqZCQEHl4eCgsLExvvPGGbDab068RQOGw5wpAkS1atEihoaHq0qVLgfd37dpVoaGhV7Wn4vPPP9e//vUvtWvXTo8++qgkqUGDBoVe32azqW/fvlqzZo0effRRNW3aVNu2bdPbb7+tPXv25DuX65dfftFXX32lp556SoGBgQUWwIvl5uYqKSnJYZmnp6d8fX0lSTk5OYqMjFTnzp01efJkeXt7S5Lmz5+v9PR0Pf7446patarWr1+v6dOn68iRI5o/f779sbZu3aouXbrIzc1Njz76qEJDQxUXF6dFixbp1Vdf1V133aU9e/boiy++0Ntvv63AwEBJyldy8yQmJqpjx45KT0/X8OHDVbVqVX366afq27evvv7663yHbr7++uuyWq0aNWqUUlJS9Oabb+qBBx7Q77//ftn3ZdGiRapfv746dux42XF5Zs2apebNm6tv375ydXXVokWL9MQTT8hms+nJJ5+UJE2bNk3Dhg2Tr6+vvVzm7SHYv3+/FixYoHvuuUf16tVTYmKi3n//fXXr1k07d+60H6b5wQcfaPjw4frHP/6hESNGKCMjQ1u3btXvv/+u+++/v1DvZ0HbyI4dO9SlSxf5+/vr2WeflZubm95//311795dq1atUnh4uMPrfeqpp1SpUiVNmDBBsbGxmjVrlg4dOmQvSnn27dunf/zjHxoyZIgeeughffTRR3r44YfVtm1bNW/e/JLv5/Lly9WnTx/VqFFDI0aMUHBwsHbt2qXFixc7lNpLKUy+zz//XA899JAiIyP1xhtvKD09XbNmzVLnzp21efNmh5+dS/0cXE5KSkq+n62870dR9OjRQ0888YQmTZqkfv366frrr9fx48c1bNgwRUREaOjQoVf1uHmFqXLlyvZlf/zxh9auXav77rtPtWvX1sGDBzVr1ix1795dO3fuzPc+DBs2TJUrV9b48eN18OBBTZs2TU899ZTmzZtnHzN27Fi9+eabuv322xUZGaktW7YoMjIy3/le6enp6tatm44eParHHntMderU0dq1azV27FgdP35c06ZNu6rXCeAKDAAoguTkZEOScccdd1x2XN++fQ1JRmpqqmEYhvHQQw8ZdevWzTdu/Pjxxt8/mnx8fIyHHnoo39iPP/7YkGQcOHDAvqxbt25Gt27d7F9//vnnhtVqNVavXu2w7uzZsw1Jxm+//WZfJsmwWq3Gjh07LvtaLn4uSflueVkfeughQ5IxZsyYfOump6fnWzZp0iTDYrEYhw4dsi/r2rWr4efn57DMMAzDZrPZ//3WW2/lex/y1K1b1+G9GzlypCHJ4f04e/asUa9ePSM0NNTIzc01DMMwVqxYYUgymjZtamRmZtrHvvPOO4YkY9u2bZd8X1JSUgq1TVysoPcjMjLSqF+/vsOy5s2bO3x/82RkZNiz5zlw4IDh4eFhvPTSS/Zld9xxh9G8efPLZrnc+3mpbaRfv36Gu7u7ERcXZ1927Ngxw8/Pz+jatat9Wd4227ZtWyMrK8u+/M033zQkGd9//719Wd26dQ1Jxq+//mpfduLECcPDw8N45pln7MvyvlcrVqwwDMMwcnJyjHr16hl169Y1zpw545Dz4u2mIIXNd/bsWaNSpUrGI4884rB+QkKCERAQ4LD8cj8Hl8tQ0O1if9+2C/rsuPjxLv5+pqWlGWFhYUbz5s2NjIwMo3fv3oa/v3++n7OCPPTQQ4aPj49x8uRJ4+TJk8a+ffuMyZMnGxaLxWjRooXDe1zQdh0TE2NIMj777LN8GSMiIhzWf/rppw0XFxcjOTnZMIwL76+rq6vRr18/h8ecMGGCw2ePYRjGyy+/bPj4+Bh79uxxGDtmzBjDxcXFiI+Pv+JrBeA8DgsEUCRnz56VJPn5+V12XN79qampJZ7pYvPnz1fTpk3VpEkTJSUl2W89evSQJK1YscJhfLdu3dSsWbNCP35oaKiWL1/ucHv22Wcdxjz++OP51vPy8rL/Oy0tTUlJSerYsaMMw9DmzZslSSdPntSvv/6qwYMHq06dOg7rF3T4U2EsWbJE7dq1U+fOne3LfH199eijj+rgwYPauXOnw/hBgwY5nMeWt3fy4kOf/i7ve3ylbeJiF78feXssunXrpv379yslJeWK63t4eNgn7sjNzdWpU6fk6+urxo0ba9OmTfZxlSpV0pEjR/THH38UOtvf/X0byc3N1bJly9SvXz+Hcwpr1Kih+++/X2vWrMm33T/66KNyc3Ozf/3444/L1dVVS5YscRjXrFkzhz3C1apVU+PGjS/7/m/evFkHDhzQyJEj803IUdjt5kr5li9fruTkZA0YMMDh58rFxUXh4eH5fq7yHsMZM2fOzPezVVy8vb31ySefaNeuXeratat++OEHvf322/l+zi4lLS1N1apVU7Vq1RQWFqZRo0apU6dO+v777x3e44u36+zsbJ06dUphYWGqVKmSw3aZ59FHH3VYv0uXLsrNzdWhQ4ckSdHR0crJydETTzzhsN6wYcPyPdb8+fPVpUsXVa5c2eF7FBERodzcXP3666+Feq0AnMNhgQCKJO8X6LySdSmFLWHFbe/evdq1a9clD5M7ceKEw9d/n53sSnx8fBQREXHJ+11dXVW7du18y+Pj4zVu3DgtXLgw37kseWUi7xfo4pwh7dChQ/kOUZOkpk2b2u+/+Pn+/stm3iFPlzo/SJL8/f0lXXmbuNhvv/2m8ePHKyYmRunp6Q73paSkKCAg4LLr22w2vfPOO3rvvfd04MAB5ebm2u+rWrWq/d/PPfecfv75Z7Vr105hYWHq1auX7r//fnXq1KnQWf++jZw8eVLp6elq3LhxvrFNmzaVzWbT4cOHHQ7ja9iwocM4X19f1ahRI9+5OAX9sl+5cuXLvv9xcXGSirbdXCnf3r17Jcn+R4q/y9sG8lzq5+By2rVrV6ITWnTq1EmPP/64Zs6cqcjISA0ePLjQ63p6emrRokWSpCNHjujNN9/UiRMnHMqUJJ0/f16TJk3Sxx9/rKNHj8owDPt9Bf3R4Eo/b3klKywszGFclSpVHA5HlC58j7Zu3Vrozz4AxYNyBaBIAgICVKNGDW3duvWy47Zu3apatWrZf+m61F/QL/6luDjYbDa1bNlSU6dOLfD+kJAQh6///stRUV28RyVPbm6ubr75Zp0+fVrPPfecmjRpIh8fHx09elQPP/xwqTrZ3MXFpcDlF/+S+Hf+/v6qWbOmtm/fXqjniIuLU8+ePdWkSRNNnTpVISEhcnd315IlS/T2228X6v147bXX9OKLL2rw4MF6+eWXVaVKFVmtVo0cOdJh/aZNmyo2NlaLFy/W0qVL9c033+i9997TuHHjNHHixELlLe5t5HKu5v2/FvLe088//1zBwcH57nd1dfz1oqCfg+Lm7GdKZmamfRKQuLg4paenF+pcMOnC9+XiP6pERkaqSZMmeuyxx7Rw4UL78mHDhunjjz/WyJEj1aFDBwUEBMhisei+++4rcLsuzu+3zWbTzTffnG9Pep5GjRo5/ZgAroxyBaDI+vTpow8++EBr1qxxONwsz+rVq3Xw4EE99thj9mWVK1cu8CKteX+ZvdjVHgInXZj8YsuWLerZs2eRHqc4bdu2TXv27NGnn36qgQMH2pf//bCnvEPMrlRSnHlddevWVWxsbL7leRc9rlu3bqEf63L69OmjOXPmKCYmRh06dLjs2EWLFikzM1MLFy50+Mt9QYeWXeq1fv3117rpppv04YcfOixPTk7ONwmCj4+P+vfvr/79+ysrK0t33XWXXn31VY0dO1aenp5ObyfVqlWTt7f3Jd9Xq9War8Tv3btXN910k/3rc+fO6fjx47rtttuceu6C5E34sn379svuVb2cK+XLe47q1atf9XMUt7w9N8nJyQ6HQxb0mSJJ48eP165duzR58mQ999xzGjNmjN59992reu4aNWro6aef1sSJE7Vu3Tq1b99e0oXt8qGHHtKUKVPsYzMyMq76AtV5P5/79u1z2IN66tSpfHszGzRooHPnzpWa7w9QUXDOFYAiGz16tLy8vPTYY4/p1KlTDvedPn1aQ4cOlbe3t32Ka+nC//hTUlIc9ngdP35c3333Xb7H9/HxuepfRu69914dPXpUH3zwQb77zp8/r7S0tKt63KLI++v0xX+NNgwj3zTZ1apVU9euXfXRRx8pPj7e4b6L1827XlBh3qPbbrtN69evV0xMjH1ZWlqa5syZo9DQUKfON7ucZ599Vj4+PvrXv/6lxMTEfPfHxcXZX29B70dKSoo+/vjjfOtdaltwcXHJ99f9+fPn6+jRow7L/r59uru7q1mzZjIMQ9nZ2fbnkAr3fuY9d69evfT99987HNaXmJiouXPnqnPnzvkOk5szZ479+aQLsyXm5OTo1ltvLdRzXs7111+vevXqadq0afleQ2H3gFwpX2RkpPz9/fXaa685jMvz9+nDr4W8wnfxuUR5l3H4u99//12TJ0/WyJEj9cwzz2j06NGaMWOGVq1addXPP2zYMHl7e+v111+3Lytou5w+ffpV76Hv2bOnXF1d800XP2PGjHxj7733XsXExOinn37Kd19ycrJycnKuKgOAy2PPFYAia9iwoT799FM98MADatmypYYMGaJ69erp4MGD+vDDD5WUlKQvvvjCYQr1++67T88995zuvPNODR8+3D6Nc6NGjfKd6N22bVv9/PPPmjp1qmrWrKl69eoVeN5QQR588EF99dVXGjp0qFasWKFOnTopNzdXu3fv1ldffaWffvrpml+otEmTJmrQoIFGjRqlo0ePyt/fX998802B59G8++676ty5s66//no9+uij9vf1hx9+0J9//inpwvsjSf/+97913333yc3NTbfffnuBF2kdM2aMvvjiC916660aPny4qlSpok8//VQHDhzQN998U2yHbjVo0EBz585V//791bRpUw0cOFAtWrRQVlaW1q5dq/nz59uvydOrVy+5u7vr9ttv12OPPaZz587pgw8+UPXq1XX8+HGHx23btq1mzZqlV155RWFhYapevbp69OihPn366KWXXtKgQYPUsWNHbdu2Tf/973/zXbS6V69eCg4OVqdOnRQUFKRdu3ZpxowZ6t27t/18QGfezzyvvPKKli9frs6dO+uJJ56Qq6ur3n//fWVmZjpc3y1PVlaWevbsqXvvvVexsbF677331LlzZ/Xt27cob7ukCxcVnjVrlm6//Xa1bt1agwYNUo0aNbR7927t2LGjwF+2nc3n7++vWbNm6cEHH9T111+v++67T9WqVVN8fLx++OEHderUqcBf+EtSr169VKdOHQ0ZMkSjR4+Wi4uLPvroI3uuPBkZGXrooYfUsGFDvfrqq5KkiRMnatGiRRo0aJC2bdt2VRf6rlq1qgYNGqT33ntPu3btUtOmTdWnTx99/vnnCggIULNmzRQTE6Off/7Z4TxAZwQFBWnEiBGaMmWK+vbtq1tuuUVbtmzRjz/+qMDAQIe9rqNHj9bChQvVp08f+/T9aWlp2rZtm77++msdPHiwWKa2B/A3psxRCKBc2rp1qzFgwACjRo0ahpubmxEcHGwMGDDgktN2L1u2zGjRooXh7u5uNG7c2Pi///u/AqdT3r17t9G1a1fDy8vLYbrhwkzFbhiGkZWVZbzxxhtG8+bNDQ8PD6Ny5cpG27ZtjYkTJxopKSn2cZKMJ598stCvt1u3bped1jtvyuaC7Ny504iIiDB8fX2NwMBA45FHHjG2bNliSDI+/vhjh7Hbt2837rzzTqNSpUqGp6en0bhxY+PFF190GPPyyy8btWrVMqxWq8N78vfpqg3DMOLi4ox//OMf9sdr166dsXjxYocxedN7z58/32H5gQMHCsx4KXv27DEeeeQRIzQ01HB3dzf8/PyMTp06GdOnTzcyMjLs4xYuXGhcd911hqenpxEaGmq88cYbxkcffZTv+5uQkGD07t3b8PPzMyTZv9cZGRnGM888Y9SoUcPw8vIyOnXqZMTExOTbHt5//32ja9euRtWqVQ0PDw+jQYMGxujRox22g8u9n5fbRjZt2mRERkYavr6+hre3t3HTTTcZa9eudRiTt82uWrXKePTRR43KlSsbvr6+xgMPPGCcOnXKYWzdunWN3r1753uev7+mv0/FnmfNmjXGzTffbPj5+Rk+Pj7GddddZ0yfPr3A7FeTL++5IyMjjYCAAMPT09No0KCB8fDDDxsbNmywj7ncz8HlMvzxxx+XHVfQtr1x40YjPDzccHd3N+rUqWNMnTo13+dE3vTmv//+u8O6GzZsMFxdXY3HH3/8ss97udcTFxdnuLi42HOdOXPGGDRokBEYGGj4+voakZGRxu7du/Nlv9RrLuh7m5OTY7z44otGcHCw4eXlZfTo0cPYtWuXUbVqVWPo0KEO6589e9YYO3asERYWZri7uxuBgYFGx44djcmTJztMtQ+g+FgMw+SzYgEAqCA++eQTDRo0SH/88cc132NaGKU9HwqWnJysypUr65VXXrFfYBuAOTjnCgAAoIw4f/58vmXTpk2TJHXv3v3ahgGQD+dcAQAAlBHz5s3TJ598ottuu02+vr5as2aNvvjiC/Xq1cup67UBKBmUKwAAgDLiuuuuk6urq958802lpqbaJ7l45ZVXzI4GQBLnXAEAAABAMeCcKwAAAAAoBqaXq5kzZyo0NFSenp4KDw/X+vXrLzt+/vz5atKkiTw9PdWyZUstWbLE4f5z587pqaeeUu3ateXl5aVmzZpp9uzZJfkSAAAAAMDcc67mzZunqKgozZ49W+Hh4Zo2bZoiIyMVGxur6tWr5xu/du1aDRgwQJMmTVKfPn00d+5c9evXT5s2bVKLFi0kSVFRUfrll1/0f//3fwoNDdWyZcv0xBNPqGbNmoW+OKPNZtOxY8fk5+fncEE+AAAAABWLYRg6e/asatasKav1CvumzLzIVrt27Rwuxpibm2vUrFnTmDRpUoHj77333nwXVAwPDzcee+wx+9fNmzc3XnrpJYcx119/vfHvf//7kjkyMjKMlJQU+23nzp2GJG7cuHHjxo0bN27cuHEzJBmHDx++Yr8xbc9VVlaWNm7cqLFjx9qXWa1WRUREKCYmpsB1YmJiFBUV5bAsMjJSCxYssH/dsWNHLVy4UIMHD1bNmjW1cuVK7dmzR2+//fYls0yaNEkTJ07Mt/zw4cPy9/d38pUBAAAAKC9SU1MVEhIiPz+/K441rVwlJSUpNzdXQUFBDsuDgoK0e/fuAtdJSEgocHxCQoL96+nTp+vRRx9V7dq15erqKqvVqg8++EBdu3a9ZJaxY8c6lLa8N9Df359yBQAAAKBQpwuVu+tcTZ8+XevWrdPChQtVt25d/frrr3ryySdVs2ZNRUREFLiOh4eHPDw8rnFSAAAAAOWJaeUqMDBQLi4uSkxMdFiemJio4ODgAtcJDg6+7Pjz58/r+eef13fffafevXtLunCxvT///FOTJ0++ZLkCAAAAgKIybSp2d3d3tW3bVtHR0fZlNptN0dHR6tChQ4HrdOjQwWG8JC1fvtw+Pjs7W9nZ2flm8XBxcZHNZivmVwAAAAAA/2PqYYFRUVF66KGHdMMNN6hdu3aaNm2a0tLSNGjQIEnSwIEDVatWLU2aNEmSNGLECHXr1k1TpkxR79699eWXX2rDhg2aM2eOJMnf31/dunXT6NGj5eXlpbp162rVqlX67LPPNHXqVNNeJwAAAIDyz9Ry1b9/f508eVLjxo1TQkKCWrduraVLl9onrYiPj3fYC9WxY0fNnTtXL7zwgp5//nk1bNhQCxYssF/jSpK+/PJLjR07Vg888IBOnz6tunXr6tVXX9XQoUOv+esDAAAAUHFYDMMwzA5R2qSmpiogIEApKSnMFggAAABUYM50A9POuQIAAACA8oRyBQAAAADFgHIFAAAAAMWAcgUAAAAAxYByBQAAAADFgHIFAAAAAMWAcgUAAAAAxYByBQAAAADFgHIFAAAAAMWAcgUAAAAAxYByVcqdSM3QzBX7ZBiG2VEAAAAAXIar2QFwaRnZubrt3dVKOpel0Ko+6n1dDbMjAQAAALgE9lyVYp5uLvpn+7qSpFd+2Kn0rByTEwEAAAC4FMpVKTe0WwPVruyl4ykZem9FnNlxAAAAAFwC5aqU83Rz0Yt9mkmS5vy6XweT0kxOBAAAAKAglKsyoFezIHVtVE1ZuTa9tHin2XEAAAAAFIByVQZYLBaNv72Z3Fws+mX3CUXvSjQ7EgAAAIC/oVyVEQ2q+Wpw53qSpJcW71RGdq7JiQAAAABcjHJVhgzr0VBB/h46dCpd/1m93+w4AAAAAC5CuSpDfD1c9fxtTSVJM1bs09Hk8yYnAgAAAJCHclXG9G1VU+3qVVFGtk2v/bDL7DgAAAAA/kK5KmMsFosm9m0uq0X6Ydtx/bYvyexIAAAAAES5KpOa1vDXwA6hkqQJC3coO9dmbiAAAAAAlKuy6umIRqri4669J87p07UHzY4DAAAAVHiUqzIqwNtNz93SWJI07ee9OnE2w+REAAAAQMVGuSrD7mkbola1A3QuM0dv/BhrdhwAAACgQqNclWFWq0UT72ghSfpm0xFtPHTa5EQAAABAxUW5KuNah1RS/xtCJEnjvt+hXJthciIAAACgYqJclQOjb2ksP09X7TiWqi//iDc7DgAAAFAhUa7KgUBfDz1zcyNJ0ls/xepMWpbJiQAAAICKh3JVTvyzfV01CfZTcnq2Ji9jcgsAAADgWqNclROuLlZN6NtckjR3fby2H00xOREAAABQsVCuypH29auqb6uaMgxp3PfbZWNyCwAAAOCaoVyVM8/f1lTe7i7aFJ+s7zYfNTsOAAAAUGFQrsqZ4ABPDevRUJI06cfdOpuRbXIiAAAAoGKgXJVDgzuHqn6gj5LOZeqdn/eaHQcAAACoEChX5ZCHq4vG/zW5xSdrD2pv4lmTEwEAAADlH+WqnOrWqJpubhakHJuhCYt2yDCY3AIAAAAoSZSrcmxcn2Zyd7Xqt32n9OP2BLPjAAAAAOUa5aocC6nirce7NZAkvbJ4p9KzckxOBAAAAJRflKty7vHuDVSrkpeOpWRo1so4s+MAAAAA5RblqpzzdHPRi32aSZLeX7VfB5PSTE4EAAAAlE+UqwogsnmQujQMVFauTS8v3ml2HAAAAKBcolxVABaLReNvby5Xq0XRu0/ol92JZkcCAAAAyh3KVQURVt1XQzrXkyRNXLRTGdm5JicCAAAAyhfKVQUyrGdDVffz0KFT6fpwzQGz4wAAAADlCuWqAvH1cNXztzWVJM34ZZ+OJZ83OREAAABQflCuKpg7WtfUjaGVdT47V68u2WV2HAAAAKDcoFxVMBaLRRP7tpDVIv2w9bjW7ksyOxIAAABQLlCuKqBmNf31z/Z1JUkTFu1Qdq7N5EQAAABA2Ue5qqCibm6kKj7u2pN4Tp/FHDI7DgAAAFDmlYpyNXPmTIWGhsrT01Ph4eFav379ZcfPnz9fTZo0kaenp1q2bKklS5Y43G+xWAq8vfXWWyX5MsqUSt7uejaysSRp2vI9Onk20+REAAAAQNlmermaN2+eoqKiNH78eG3atEmtWrVSZGSkTpw4UeD4tWvXasCAARoyZIg2b96sfv36qV+/ftq+fbt9zPHjxx1uH330kSwWi+6+++5r9bLKhHtvCNF1tQN0NjNHbyzdbXYcAAAAoEyzGIZhmBkgPDxcN954o2bMmCFJstlsCgkJ0bBhwzRmzJh84/v376+0tDQtXrzYvqx9+/Zq3bq1Zs+eXeBz9OvXT2fPnlV0dHShMqWmpiogIEApKSny9/e/ildVdmyOP6M731srSfrm8Y5qW7eyyYkAAACA0sOZbmDqnqusrCxt3LhRERER9mVWq1URERGKiYkpcJ2YmBiH8ZIUGRl5yfGJiYn64YcfNGTIkEvmyMzMVGpqqsOtomhTp7LuvaG2JGn8wu3KtZnatQEAAIAyy9RylZSUpNzcXAUFBTksDwoKUkJCQoHrJCQkODX+008/lZ+fn+66665L5pg0aZICAgLst5CQECdfSdn27C1N5Ofpqu1HUzXvj8NmxwEAAADKJNPPuSppH330kR544AF5enpecszYsWOVkpJivx0+XLEKRqCvh6JubiRJevOn3TqTlmVyIgAAAKDsMbVcBQYGysXFRYmJiQ7LExMTFRwcXOA6wcHBhR6/evVqxcbG6l//+tdlc3h4eMjf39/hVtE82L6uGgf5KTk9W1OWx5odBwAAAChzTC1X7u7uatu2rcNEEzabTdHR0erQoUOB63To0CHfxBTLly8vcPyHH36otm3bqlWrVsUbvBxydbFq4h3NJUlzf4/X9qMpJicCAAAAyhbTDwuMiorSBx98oE8//VS7du3S448/rrS0NA0aNEiSNHDgQI0dO9Y+fsSIEVq6dKmmTJmi3bt3a8KECdqwYYOeeuoph8dNTU3V/Pnzr7jXCv/Tvn5V3d6qpmyGNH7hDpk8kSQAAABQpriaHaB///46efKkxo0bp4SEBLVu3VpLly61T1oRHx8vq/V/HbBjx46aO3euXnjhBT3//PNq2LChFixYoBYtWjg87pdffinDMDRgwIBr+nrKuudva6LoXYnaeOiMvtt8VHddX9vsSAAAAECZYPp1rkqjinSdq4K8t3Kf3lwaq2p+HvrlmW7y83QzOxIAAABgijJznSuUTkM611O9QB+dPJupd6P3mh0HAAAAKBMoV8jHw9VF429vJkn6+LeD2nfirMmJAAAAgNKPcoUCdW9cXRFNg5RjMzRh4U4mtwAAAACugHKFSxrXp5ncXa1asy9JS7cnmB0HAAAAKNUoV7ikOlW9NbRbA0nSKz/s0vmsXJMTAQAAAKUX5QqX9Xi3BqpVyUtHk89r1sp9ZscBAAAASi3KFS7Ly91FL/ZpKkma/et+HTqVZnIiAAAAoHSiXOGKIpsHq0vDQGXl2PTy4p1mxwEAAABKJcoVrshisWj87c3larXo510ntGL3CbMjAQAAAKUO5QqFElbdV4M715MkTVy0Q5k5TG4BAAAAXIxyhUIb1iNM1f08dPBUuj5cc8DsOAAAAECpQrlCofl5umnsbU0kSdOj9+l4ynmTEwEAAAClB+UKTunXupZuDK2s89m5evWHXWbHAQAAAEoNyhWcYrFYNKFvc1kt0uKtxxUTd8rsSAAAAECpQLmC05rXDNAD4XUlSRMW7lB2rs3kRAAAAID5KFe4Ks/0aqTK3m6KTTyrz2MOmR0HAAAAMB3lClelkre7nr3lwuQWby/fo5NnM01OBAAAAJiLcoWrdu8NIWpZK0BnM3P05tLdZscBAAAATEW5wlVzsVo08Y7mkqT5G49oU/wZkxMBAAAA5qFcoUiur1NZ97StLUka//0O5doMkxMBAAAA5qBcocievaWJ/Dxcte1oir7acNjsOAAAAIApKFcosmp+Hnr65kaSpDeX7lZyepbJiQAAAIBrj3KFYjGwQ101DvLTmfRsTV2+x+w4AAAAwDVHuUKxcHWxakLfC5Nb/N+6Q9pxLMXkRAAAAMC1RblCsenQoKr6XFdDNkOasHCHDIPJLQAAAFBxUK5QrP7du6m83Fz0x8Ez+v7PY2bHAQAAAK4ZyhWKVY0ALz3VI0yS9OqSXTqbkW1yIgAAAODaoFyh2P2rSz2FVvXWybOZmv7LPrPjAAAAANcE5QrFzsPVReNvvzC5xUdrDmjfiXMmJwIAAABKHuUKJeKmJtUV0bS6cmwGk1sAAACgQqBcocS82KeZ3F2tWrMvST/tSDA7DgAAAFCiKFcoMXWr+uixrvUlSS8v3qXzWbkmJwIAAABKDuUKJeqJ7mGqVclLR5PPa9aqOLPjAAAAACWGcoUS5eXuohd6N5UkzV4Vp/hT6SYnAgAAAEoG5Qol7pYWweoUVlVZOTa9/MNOs+MAAAAAJYJyhRJnsVg04fbmcrVatHxnolbEnjA7EgAAAFDsKFe4JhoG+WlQp1BJ0kuLdiozh8ktAAAAUL5QrnDNDO/ZUNX8PHQgKU0frTlodhwAAACgWFGucM34ebpp7K1NJEnTf9mr4ynnTU4EAAAAFB/KFa6pO9vU0g11Kys9K1evLdltdhwAAACg2FCucE1ZLBZN6NtcFou0aMsxrdt/yuxIAAAAQLGgXOGaa1ErQA+E15Ekjf9+h3JybSYnAgAAAIqOcgVTjOrVWJW93RSbeFafrztkdhwAAACgyChXMEUlb3eNimwsSZq6fI+SzmWanAgAAAAoGsoVTHPfjXXUopa/zmbk6M2lTG4BAACAso1yBdO4WC2a2LeFJOmrDUe0Of6MyYkAAACAq0e5gqna1q2su6+vLUkav3CHbDbD5EQAAADA1aFcwXTP3dpYfh6u2nokRV9tOGx2HAAAAOCqUK5guup+nhp5cyNJ0ps/xSolPdvkRAAAAIDzKFcoFQZ2qKuG1X11Oi1LU5fHmh0HAAAAcBrlCqWCm4tVE/s2lyR9vu6Qdh5LNTkRAAAA4BzTy9XMmTMVGhoqT09PhYeHa/369ZcdP3/+fDVp0kSenp5q2bKllixZkm/Mrl271LdvXwUEBMjHx0c33nij4uPjS+oloJh0DAtU7+tqyGZIExbukGEwuQUAAADKDlPL1bx58xQVFaXx48dr06ZNatWqlSIjI3XixIkCx69du1YDBgzQkCFDtHnzZvXr10/9+vXT9u3b7WPi4uLUuXNnNWnSRCtXrtTWrVv14osvytPT81q9LBTBv29rKi83F60/eFoLtxwzOw4AAABQaBbDxN0D4eHhuvHGGzVjxgxJks1mU0hIiIYNG6YxY8bkG9+/f3+lpaVp8eLF9mXt27dX69atNXv2bEnSfffdJzc3N33++edXnSs1NVUBAQFKSUmRv7//VT8Ors7MFfv01k+xqu7noV9GdZevh6vZkQAAAFBBOdMNTNtzlZWVpY0bNyoiIuJ/YaxWRUREKCYmpsB1YmJiHMZLUmRkpH28zWbTDz/8oEaNGikyMlLVq1dXeHi4FixYcNksmZmZSk1NdbjBPP/qUk+hVb114mympkfvNTsOAAAAUCimlaukpCTl5uYqKCjIYXlQUJASEhIKXCchIeGy40+cOKFz587p9ddf1y233KJly5bpzjvv1F133aVVq1ZdMsukSZMUEBBgv4WEhBTx1aEoPFxdNO72ZpKkj347oH0nzpmcCAAAALgy0ye0KE42m02SdMcdd+jpp59W69atNWbMGPXp08d+2GBBxo4dq5SUFPvt8GEuZGu2Hk2C1LNJdWXnGpq4iMktAAAAUPqZVq4CAwPl4uKixMREh+WJiYkKDg4ucJ3g4ODLjg8MDJSrq6uaNWvmMKZp06aXnS3Qw8ND/v7+DjeYb9ztzeTuYtXqvUn6aUfilVcAAAAATGRauXJ3d1fbtm0VHR1tX2az2RQdHa0OHToUuE6HDh0cxkvS8uXL7ePd3d114403KjbW8SK0e/bsUd26dYv5FaCk1a3qo0e71pckvbx4pzKyc01OBAAAAFyaqYcFRkVF6YMPPtCnn36qXbt26fHHH1daWpoGDRokSRo4cKDGjh1rHz9ixAgtXbpUU6ZM0e7duzVhwgRt2LBBTz31lH3M6NGjNW/ePH3wwQfat2+fZsyYoUWLFumJJ5645q8PRffETQ1UM8BTR5PPa9bKOLPjAAAAAJdkarnq37+/Jk+erHHjxql169b6888/tXTpUvukFfHx8Tp+/Lh9fMeOHTV37lzNmTNHrVq10tdff60FCxaoRYsW9jF33nmnZs+erTfffFMtW7bUf/7zH33zzTfq3LnzNX99KDpvd1e90OfCYZ6zVsXp8Ol0kxMBAAAABTP1OlelFde5Kl0Mw9AD//lda+NOqVezIM0ZeIPZkQAAAFBBlOh1roYPH65333033/IZM2Zo5MiRzj4ccEUWi0UT+zaXq9WiZTsTtTL2hNmRAAAAgHycLlfffPONOnXqlG95x44d9fXXXxdLKODvGgb56eGOoZKklxbtVFaOzdxAAAAAwN84Xa5OnTqlgICAfMv9/f2VlJRULKGAgoyIaKhAXw/tT0rTR78dMDsOAAAA4MDpchUWFqalS5fmW/7jjz+qfv36xRIKKIifp5vG3tpEkvRu9F4lpGSYnAgAAAD4H1dnV4iKitJTTz2lkydPqkePHpKk6OhoTZkyRdOmTSvufICDO9vU0tz18dp46IxeW7JL7w5oY3YkAAAAQNJVzhY4a9Ysvfrqqzp27JgkKTQ0VBMmTNDAgQOLPaAZmC2wdNt+NEW3z1gjw5DmPdpe4fWrmh0JAAAA5ZQz3aBIU7GfPHlSXl5e8vX1vdqHKJUoV6Xfv7/bpv/+Hq8mwX5aPKyzXF1MvWQbAAAAyqkSnYr9YtWqVSt3xQplw6hejVXJ2027E87q/9YdMjsOAAAAULhzrq6//npFR0ercuXKatOmjSwWyyXHbtq0qdjCAZdS2cddo3o11gsLtmvq8j3q06qmAn09zI4FAACACqxQ5eqOO+6Qh8eFX1z79etXknmAQhvQro6+WB+vHcdS9dbSWL3xj+vMjgQAAIAKrEjnXJVXnHNVdmw8dFp3z4qRxSJ990QntQ6pZHYkAAAAlCPX5JyrrKwsHTlyRPHx8Q434FpqW7eK7rq+lgxDGv/9dtls/K0AAAAA5nC6XO3Zs0ddunSRl5eX6tatq3r16qlevXoKDQ1VvXr1SiIjcFljbm0iXw9XbTmSovkbD5sdBwAAABWU0xcRHjRokFxdXbV48WLVqFHjspNbANdCdT9PjYxoqFd+2KU3l8bqluY1FODtZnYsAAAAVDBOl6s///xTGzduVJMmTUoiD3BVHuoYqnl/HNbeE+f09s97NKFvc7MjAQAAoIJx+rDAZs2aKSkpqSSyAFfNzcVqL1SfxRzUruOpJicCAABARVOocpWammq/vfHGG3r22We1cuVKnTp1yuG+1FR+oYV5OoUFqnfLGrIZ0viFO8REmAAAALiWCnVYYKVKlRzOrTIMQz179nQYYxiGLBaLcnNzizch4ITnezdV9O5ErT9wWgu3HNMdrWuZHQkAAAAVRKHK1YoVK0o6B1AsalXy0lM3hWnysj16bckuRTQNko+H06cWAgAAAE4r1G+d3bp1K+kcQLH5V5f6mr/xiA6dStf0X/ZpzK1MvgIAAICSd1V/0j9z5ow+/PBD7dq1S9KFSS4GDRqkKlWqFGs44Gp4urloXJ9mGvLpBn24Zr/uuaG2GlTzNTsWAAAAyjmnZwv89ddfFRoaqnfffVdnzpzRmTNn9O6776pevXr69ddfSyIj4LSeTYPUo0l1ZecamrhoJ5NbAAAAoMRZDCd/62zZsqU6dOigWbNmycXFRZKUm5urJ554QmvXrtW2bdtKJOi1lJqaqoCAAKWkpMjf39/sOLhKB5PS1OvtX5WVa9OcB9uqV/NgsyMBAACgjHGmGzi952rfvn165pln7MVKklxcXBQVFaV9+/Y5nxYoIaGBPnqkaz1J0kuLdyojm5ksAQAAUHKcLlfXX3+9/Vyri+3atUutWrUqllBAcXnypjDVCPDUkTPnNXtVnNlxAAAAUI45PaHF8OHDNWLECO3bt0/t27eXJK1bt04zZ87U66+/rq1bt9rHXnfddcWXFLgK3u6u+nfvpnpq7mbNWhmnu6+vrZAq3mbHAgAAQDnk9DlXVuvld3ZZLJYyf0FhzrkqXwzD0P0f/K6Y/acU2TxI7z94g9mRAAAAUEY40w2c3nN14MCBqw4GmMFisWjiHc116zur9dOORP2656S6NqpmdiwAAACUM06Xq7p165ZEDqBENQry00MdQvXRbwc0YdEOLR3RVe6uTp9yCAAAAFzSVf12GRcXp2HDhikiIkIREREaPny44uKYLACl28ibGyrQ1137T6bp49/YAwsAAIDi5XS5+umnn9SsWTOtX79e1113na677jr9/vvvat68uZYvX14SGYFi4e/ppjG3NpUkvRu9V4mpGSYnAgAAQHni9IQWbdq0UWRkpF5//XWH5WPGjNGyZcu0adOmYg1oBia0KL9sNkN3z16rzfHJ6te6pqbd18bsSAAAACjFSvQiwrt27dKQIUPyLR88eLB27tzp7MMB15TVatFLfVvIYpEW/HlMv+8/ZXYkAAAAlBNOl6tq1arpzz//zLf8zz//VPXq1YsjE1CiWtYO0IB2dSRJ4xfuUE6uzeREAAAAKA+cni3wkUce0aOPPqr9+/erY8eOkqTffvtNb7zxhqKiooo9IFASRvdqrB+2HtfuhLOauz5eAzuEmh0JAAAAZZzT51wZhqFp06ZpypQpOnbsmCSpZs2aGj16tIYPHy6LxVIiQa8lzrmqGD5fd0gvLtguf09XrRjVXVV9PcyOBAAAgFKmxM65ysnJ0eeff677779fR44cUUpKilJSUnTkyBGNGDGiXBQrVBz3t6ujZjX8lZqRo7d+ijU7DgAAAMo4p8qVq6urhg4dqoyMC1NY+/n5yc/Pr0SCASXNxWrRS3c0lyTN23BYWw4nmxsIAAAAZZrTE1q0a9dOmzdvLokswDV3Q2gV3dWmlgxDGrdwh2w2p46SBQAAAOycntDiiSee0DPPPKMjR46obdu28vHxcbj/uuuuK7ZwwLUw5tYmWrYzUVsOJ+vrjUd0740hZkcCAABAGeT0hBZWa/6dXRaLRYZhyGKxKDc3t9jCmYUJLSqeD37dr1eX7FJVH3f9Mqq7ArzczI4EAACAUsCZbuD0nqsDBw5cdTCgtHq4U6jmbTisfSfO6e3lezShb3OzIwEAAKCMcfqcq0OHDqlWrVqqW7euw61WrVo6dOhQSWQESpybi1UTbr9QqD5fd0i7E1JNTgQAAICyxulyddNNN+n06dP5lqekpOimm24qllCAGTo3DNStLYKVazM0/vsdcvKIWQAAAFRwTpervHOr/u7UqVP5JrcAypp/924qTzerfj9wWou2Hjc7DgAAAMqQQp9zddddd0m6MHnFww8/LA8PD/t9ubm52rp1qzp27Fj8CYFrqHZlbz3ZPUxTlu/Rqz/sVM8m1eXj4fSpiQAAAKiACr3nKiAgQAEBATIMQ35+fvavAwICFBwcrEcffVT/93//V5JZgWvika71VaeKtxJTMzVjxT6z4wAAAKCMKPSf5D/++GNJUmhoqEaNGsUhgCi3PN1cNK5PM/3rsw36z+r9uqdtbdWv5mt2LAAAAJRyTp9z9eyzzzqcc3Xo0CFNmzZNy5YtK9ZggJl6Nq2umxpXU3auoYmLdjK5BQAAAK7I6XJ1xx136LPPPpMkJScnq127dpoyZYruuOMOzZo1q9gDAmawWCwad3tzubtYtWrPSf2864TZkQAAAFDKOV2uNm3apC5dukiSvv76awUHB+vQoUP67LPP9O677xZ7QMAs9QJ99K8u9SRJLy3eoYzsXJMTAQAAoDRzulylp6fLz89PkrRs2TLdddddslqtat++PRcRRrnzVI8w1Qjw1OHT5/X+qv1mxwEAAEAp5nS5CgsL04IFC3T48GH99NNP6tWrlyTpxIkT8vf3v6oQM2fOVGhoqDw9PRUeHq7169dfdvz8+fPVpEkTeXp6qmXLllqyZInD/Q8//LAsFovD7ZZbbrmqbKjYvN1d9fxtTSVJ763cp8On001OBAAAgNLK6XI1btw4jRo1SqGhoQoPD1eHDh0kXdiL1aZNG6cDzJs3T1FRURo/frw2bdqkVq1aKTIyUidOFHyOy9q1azVgwAANGTJEmzdvVr9+/dSvXz9t377dYdwtt9yi48eP229ffPGF09kASepzXQ21r19FmTk2vfrDLrPjAAAAoJSyGFcxDVpCQoKOHz+uVq1ayWq90M/Wr18vf39/NWnSxKnHCg8P14033qgZM2ZIkmw2m0JCQjRs2DCNGTMm3/j+/fsrLS1Nixcvti9r3769WrdurdmzZ0u6sOcqOTlZCxYscPalSZJSU1MVEBCglJSUq94bh/IlNuGsbnt3tXJthj4f0k5dGlYzOxIAAACuAWe6gdN7riQpODhYbdq0sRcrSWrXrp3TxSorK0sbN25URETE/wJZrYqIiFBMTEyB68TExDiMl6TIyMh841euXKnq1aurcePGevzxx3Xq1KlL5sjMzFRqaqrDDbhY42A/DexQV5I0YeEOZeXYTE4EAACA0qbQFxG+2IYNG/TVV18pPj5eWVlZDvd9++23hX6cpKQk5ebmKigoyGF5UFCQdu/eXeA6CQkJBY5PSEiwf33LLbforrvuUr169RQXF6fnn39et956q2JiYuTi4pLvMSdNmqSJEycWOjcqppERjbRoyzHFnUzTJ2sP6NGuDcyOBAAAgFLE6T1XX375pTp27Khdu3bpu+++U3Z2tnbs2KFffvlFAQEBJZHRaffdd5/69u2rli1bql+/flq8eLH++OMPrVy5ssDxY8eOVUpKiv12+PDhaxsYZUKAl5ueu+XC3tl3ft6rxNQMkxMBAACgNHG6XL322mt6++23tWjRIrm7u+udd97R7t27de+996pOnTpOPVZgYKBcXFyUmJjosDwxMVHBwcEFrhMcHOzUeEmqX7++AgMDtW/fvgLv9/DwkL+/v8MNKMjd19dWmzqVlJaVq9d/LHjvKgAAAComp8tVXFycevfuLUlyd3dXWlqaLBaLnn76ac2ZM8epx3J3d1fbtm0VHR1tX2az2RQdHW2fhfDvOnTo4DBekpYvX37J8ZJ05MgRnTp1SjVq1HAqH/B3VqtFE/s2l8Uifbf5qNYfOG12JAAAAJQSTperypUr6+zZs5KkWrVq2adAT05OVnq689cAioqK0gcffKBPP/1Uu3bt0uOPP660tDQNGjRIkjRw4ECNHTvWPn7EiBFaunSppkyZot27d2vChAnasGGDnnrqKUnSuXPnNHr0aK1bt04HDx5UdHS07rjjDoWFhSkyMtLpfMDfXVe7ku678cJe2vELdyjX5vSEmwAAACiHnC5XXbt21fLlyyVJ99xzj0aMGKFHHnlEAwYMUM+ePZ0O0L9/f02ePFnjxo1T69at9eeff2rp0qX2SSvi4+N1/Phx+/iOHTtq7ty5mjNnjlq1aqWvv/5aCxYsUIsWLSRJLi4u2rp1q/r27atGjRppyJAhatu2rVavXi0PDw+n8wEFGR3ZWAFebtp1PFVzfz9kdhwAAACUAk5f5+r06dPKyMhQzZo1ZbPZ9Oabb2rt2rVq2LChXnjhBVWuXLmksl4zXOcKhfF5zEG9+P0O+Xu6asWo7qrqS3kHAAAob5zpBld1EeHyjnKFwsi1Gbp9+hrtPJ6qAe1CNOmu68yOBAAAgGJWohcRdnFx0YkTJ/ItP3XqVIHXkALKKxerRRPvaC5J+vKPw9p6JNncQAAAADCV0+XqUju6MjMz5e7uXuRAQFlyY2gV3dmmlgxDGvf9DtmY3AIAAKDCci3swHfffVeSZLFY9J///Ee+vr72+3Jzc/Xrr7+qSZMmxZ8QKOXG3tpEy3Yk6M/Dyfp60xHde0OI2ZEAAABggkKXq7ffflvShT1Xs2fPdjgE0N3dXaGhoZo9e3bxJwRKuer+nhoR0VCvLdmtN5fuVmTzYAV4uZkdCwAAANdYocvVgQMHJEk33XSTvv3223IxKyBQXB7uWE/z/jisuJNpmvbzHo2/vbnZkQAAAHCNOX3O1YoVKyhWwN+4u1o1oe+FQvVZzCHFJpw1OREAAACutULvubrYkSNHtHDhQsXHxysrK8vhvqlTpxZLMKCs6dKwmm5pHqylOxI0fuF2ffFIe1ksFrNjAQAA4BpxulxFR0erb9++ql+/vnbv3q0WLVro4MGDMgxD119/fUlkBMqMF/o01YrYE1q3/7QWbz2u21vVNDsSAAAArhGnDwscO3asRo0apW3btsnT01PffPONDh8+rG7duumee+4piYxAmVG7sreevClMkvTqD7uUlpljciIAAABcK06Xq127dmngwIGSJFdXV50/f16+vr566aWX9MYbbxR7QKCsebRrfYVU8VJCaoZmrthndhwAAABcI06XKx8fH/t5VjVq1FBcXJz9vqSkpOJLBpRRnm4uGtfnwuQWH6zerwNJaSYnAgAAwLXgdLlq37691qxZI0m67bbb9Mwzz+jVV1/V4MGD1b59+2IPCJRFEU2rq3vjasrONTRx0Q4ZhmF2JAAAAJQwp8vV1KlTFR4eLkmaOHGievbsqXnz5ik0NFQffvhhsQcEyiKLxaJxfZrJzcWilbEnFb3rhNmRAAAAUMIsBn9Szyc1NVUBAQFKSUmRv7+/2XFQhr2xdLdmrYxTnSreWvZ0V3m6uZgdCQAAAE5wphsUes/VmTNnNH36dKWmpua7LyUl5ZL3ARXZUzeFKdjfU/Gn0/XBr/vNjgMAAIASVOhyNWPGDP36668FtrWAgACtXr1a06dPL9ZwQFnn4+Gq53s3lSTNXLlPR86km5wIAAAAJaXQ5eqbb77R0KFDL3n/Y489pq+//rpYQgHlye3X1VB4vSrKyLbp1R92mR0HAAAAJaTQ5SouLk4NGza85P0NGzZ0mJYdwAUWi0UT72guF6tFP25P0Jq9XLIAAACgPCp0uXJxcdGxY8cuef+xY8dktTo9+SBQITQJ9teD7etKksYv3K6sHJvJiQAAAFDcCt2G2rRpowULFlzy/u+++05t2rQpjkxAufT0zY1U1cddcSfT9Onag2bHAQAAQDErdLl66qmnNGXKFM2YMUO5ubn25bm5uZo+fbrefvttPfnkkyUSEigPArzc9NwtTSRJ70Tv1YnUDJMTAQAAoDgVulzdfffdevbZZzV8+HBVqVJFbdq0UZs2bVSlShWNHDlSUVFR+sc//lGSWYEy7x9ta6tVSCWdy8zR6z/uNjsOAAAAipHTFxFev369/vvf/2rfvn0yDEONGjXS/fffr3bt2pVUxmuOiwijJG05nKx+7/0mw5C+HtpBN4RWMTsSAAAALsGZbuB0uaoIKFcoaWO+2aov/zisZjX8tWhYZ7lYLWZHAgAAQAGc6QZM7weYYHRkY/l7umrn8VTNXR9vdhwAAAAUA8oVYIKqvh4aFdlYkjT5p1idTssyOREAAACKinIFmOT+dnXUJNhPKeezNXlZrNlxAAAAUESUK8Akri5WvXRHC0nSF+vjte1IismJAAAAUBSUK8BE7epVUb/WNWUY0riF22WzMb8MAABAWeV0uUpMTNSDDz6omjVrytXVVS4uLg43AM4Ze1tT+bi7aHN8sr7dfNTsOAAAALhKrs6u8PDDDys+Pl4vvviiatSoIYuFKaSBogjy99Twng016cfdev3HXerVPEj+nm5mxwIAAICTnC5Xa9as0erVq9W6desSiANUTIM61dO8DYe1/2Sapi3fq3G3NzM7EgAAAJzk9GGBISEh4rrDQPFyd7Vqwu3NJUmfxhzUnsSzJicCAACAs5wuV9OmTdOYMWN08ODBEogDVFxdG1VTZPMg5doMjf9+B3/EAAAAKGMshpO/wVWuXFnp6enKycmRt7e33Nwczw05ffp0sQY0Q2pqqgICApSSkiJ/f3+z46ACOXw6XRFTVykzx6YZ97dRn+tqmh0JAACgQnOmGzh9ztW0adOuNheAKwip4q3HuzfQtJ/36tUfdqlHk+rydnf6xxQAAAAmcHrPVUXAniuYKSM7VxFTV+nImfN68qYGGh3ZxOxIAAAAFVaJ7rmSpNzcXC1YsEC7du2SJDVv3lx9+/blOldAMfB0c9G4Ps306Ocb9cGvB3RP2xCFBvqYHQsAAABX4PSEFvv27VPTpk01cOBAffvtt/r222/1z3/+U82bN1dcXFxJZAQqnJubBalro2rKyrXppcU7zY4DAACAQnC6XA0fPlwNGjTQ4cOHtWnTJm3atEnx8fGqV6+ehg8fXhIZgQrHYrFo/O3N5OZi0S+7Tyh6V6LZkQAAAHAFTperVatW6c0331SVKlXsy6pWrarXX39dq1atKtZwQEXWoJqvhnSuL0mauGinMrJzTU4EAACAy3G6XHl4eOjs2fwXOD137pzc3d2LJRSAC4b1CFOQv4fiT6frP6v3mx0HAAAAl+F0uerTp48effRR/f777zIMQ4ZhaN26dRo6dKj69u1bEhmBCsvHw1XP39ZUkjRjxT4dTT5vciIAAABcitPl6t1331WDBg3UoUMHeXp6ytPTU506dVJYWJjeeeedksgIVGh9W9VUu3pVlJFt06s/MLkFAABAaXXV17nau3evdu/eLUlq2rSpwsLCijWYmbjOFUqbXcdT1fvd1bIZ0n//Fa5OYYFmRwIAAKgQnOkGXES4AJQrlEYTFu7QJ2sPKqy6r34c0UVuLk7veAYAAICTiv0iwlFRUXr55Zfl4+OjqKioy46dOnVq4ZMCKLSnb26kRVuOad+Jc/p07UH9q0t9syMBAADgIoUqV5s3b1Z2drb93wCuvQAvNz17S2M99802Tft5r/q2rqnqfp5mxwIAAMBfOCywABwWiNLKZjN053u/acuRFN11fS1Nvbe12ZEAAADKNWe6gdMnbQwePLjA61ylpaVp8ODBzj4cACdYrRa9dEcLWSzSt5uOauOh02ZHAgAAwF+cLleffvqpzp/Pf62d8+fP67PPPruqEDNnzlRoaKg8PT0VHh6u9evXX3b8/Pnz1aRJE3l6eqply5ZasmTJJccOHTpUFotF06ZNu6psQGnTKqSS7m0bIkka9/0O5drY+QwAAFAaFLpcpaamKiUlRYZh6OzZs0pNTbXfzpw5oyVLlqh69epOB5g3b56ioqI0fvx4bdq0Sa1atVJkZKROnDhR4Pi1a9dqwIABGjJkiDZv3qx+/fqpX79+2r59e76x3333ndatW6eaNWs6nQsozZ69pbH8PV2141iqvlgfb3YcAAAAyIlzrqxWqywWy6UfyGLRxIkT9e9//9upAOHh4brxxhs1Y8YMSZLNZlNISIiGDRumMWPG5Bvfv39/paWlafHixfZl7du3V+vWrTV79mz7sqNHjyo8PFw//fSTevfurZEjR2rkyJGFysQ5VygLPl17UOMX7lAlbzeteKa7Kvu4mx0JAACg3Cn2qdglacWKFTIMQz169NA333yjKlWq2O9zd3dX3bp1nd5DlJWVpY0bN2rs2LH2ZVarVREREYqJiSlwnZiYmHzTwUdGRmrBggX2r202mx588EGNHj1azZs3v2KOzMxMZWZm2r9OTU116nUAZnggvI6+WB+v3QlnNXlZrF69s6XZkQAAACq0Qperbt26SZIOHDigOnXqXHYvVmElJSUpNzdXQUFBDsuDgoK0e/fuAtdJSEgocHxCQoL96zfeeEOurq4aPnx4oXJMmjRJEydOdDI9YC5XF6sm9m2u/nPWae76eA1oV0ctagWYHQsAAKDCcnpCi19++UVff/11vuXz58/Xp59+WiyhimLjxo1655139MknnxS6AI4dO1YpKSn22+HDh0s4JVA8wutX1R2ta8owpHHfb5eNyS0AAABM43S5mjRpkgIDA/Mtr169ul577TWnHiswMFAuLi5KTEx0WJ6YmKjg4OAC1wkODr7s+NWrV+vEiROqU6eOXF1d5erqqkOHDumZZ55RaGhogY/p4eEhf39/hxtQVoy9tam83V20KT5Z320+anYcAACACsvpchUfH6969erlW163bl3Fxzs3a5m7u7vatm2r6Oho+zKbzabo6Gh16NChwHU6dOjgMF6Sli9fbh//4IMPauvWrfrzzz/tt5o1a2r06NH66aefnMoHlAXBAZ4a3rOhJGnSj7uVmpFtciIAAICKqdDnXOWpXr26tm7dmm8v0JYtW1S1alWnA0RFRemhhx7SDTfcoHbt2mnatGlKS0vToEGDJEkDBw5UrVq1NGnSJEnSiBEj1K1bN02ZMkW9e/fWl19+qQ0bNmjOnDmSpKpVq+bL4ebmpuDgYDVu3NjpfEBZMLhTPX31x2HtT0rTOz/v1Yt9mpkdCQAAoMJxes/VgAEDNHz4cK1YsUK5ubnKzc3VL7/8ohEjRui+++5zOkD//v01efJkjRs3Tq1bt9aff/6ppUuX2ietiI+P1/Hjx+3jO3bsqLlz52rOnDlq1aqVvv76ay1YsEAtWrRw+rmB8sLd1arxfS/MjPnJ2oPak3jW5EQAAAAVT6Gvc5UnKytLDz74oObPny9X1ws7vmw2mwYOHKjZs2fL3b3sX2uH61yhrHr0sw1atjNRHRtU1X//FV4ss3oCAABUZM50A6fLVZ49e/Zoy5Yt8vLyUsuWLVW3bt2rClsaUa5QVh0+na6IqauUmWPTzPuvV+/rapgdCQAAoEwrkYsI/12jRo3UqFGjq10dQAkIqeKtod0a6J3ovXr1h526qUk1ebtf9Y85AAAAnHBVv3UdOXJECxcuVHx8vLKyshzumzp1arEEA3B1Hu/eQN9sOqIjZ87rvRVxGhXJRC4AAADXgtPlKjo6Wn379lX9+vW1e/dutWjRQgcPHpRhGLr++utLIiMAJ3i6uejFPs302OcbNefX/fpH29oKDfQxOxYAAEC55/RsgWPHjtWoUaO0bds2eXp66ptvvtHhw4fVrVs33XPPPSWREYCTejULUpeGgcrKtenlxTvNjgMAAFAhOF2udu3apYEDB0qSXF1ddf78efn6+uqll17SG2+8UewBATjPYrFoQt/mcnOxKHr3CUXvSjQ7EgAAQLnndLny8fGxn2dVo0YNxcXF2e9LSkoqvmQAiqRBNV8N7lxPkvTS4p3KyM41OREAAED55nS5at++vdasWSNJuu222/TMM8/o1Vdf1eDBg9W+fftiDwjg6g3r0VDV/Tx06FS6PlxzwOw4AAAA5ZrT5Wrq1KkKDw+XJE2cOFE9e/bUvHnzFBoaqg8//LDYAwK4er4ervp376aSpOm/7NXR5PMmJwIAACi/nLqIcG5urn777Tddd911qlSpUgnGMhcXEUZ5YhiG+r+/TusPnlbvljU08wFm9QQAACgsZ7qBU3uuXFxc1KtXL505c6ZIAQFcO3mTW1gt0g/bjmvtPs6NBAAAKAlOHxbYokUL7d+/vySyACghzWr668H2dSVJ4xfuUHauzeREAAAA5Y/T5eqVV17RqFGjtHjxYh0/flypqakONwClU9TNjVXFx117T5zTZzGHzI4DAABQ7jh1zpUkWa3/62MWi8X+b8MwZLFYlJtb9qd75pwrlFdfro/XmG+3yc/DVdGjuqm6n6fZkQAAAEo1Z7qBq7MPvmLFiqsOBsBc994Qoi/Wx2vLkRS98WOsptzbyuxIAAAA5Uah91wNHDhQM2fOlJ+fnyRpy5Ytatasmdzc3Eo0oBnYc4Xy7M/Dyeo38zdJ0jePd1TbupVNTgQAAFB6lchsgf/97391/vz/rpHTpUsXHT58+OpTAjBF65BKuveG2pKk8Qu3K9fm1JHBAAAAuIRCl6u/7+By8lQtAKXIs7c0kZ+nq7YfTdWXf8SbHQcAAKBccHq2QABlX6Cvh6JubiRJeuunWJ1JyzI5EQAAQNnn1IQWO3fuVEJCgqQLe652796tc+fOOYy57rrrii8dgBLzYPu6+nL9YcUmntWU5bF6pV9LsyMBAACUaYWe0MJqtcpisRR4OGDecqZiB8qWdftP6b4562SxSIue6qwWtQLMjgQAAFCqlMhU7AcOHChyMAClS/v6VXV7q5patOWYxi/coa+HdnC4fh0AAAAKr9Dlqm7duiWZA4BJnr+tiaJ3JWrjoTP6bvNR3XV9bbMjAQAAlElMaAFUcDUCvDSsR0NJ0mtLdutsRrbJiQAAAMomyhUADe4cqnqBPko6l6l3o/eaHQcAAKBMolwBkIeri8bf3kyS9PFvB7U38azJiQAAAMoep8qVYRiKj49XRkZGSeUBYJLujavr5mZByrEZmrBoBxcKBwAAcJLT5SosLEyHDx8uqTwATPRi72Zyd7Xqt32ntHR7gtlxAAAAyhSnypXValXDhg116tSpksoDwER1qnpraLcGkqSXF+/U+ayyf906AACAa8Xpc65ef/11jR49Wtu3by+JPABM9ni3BqpVyUvHUjL03sp9ZscBAAAoMyyGkydWVK5cWenp6crJyZG7u7u8vLwc7j99+nSxBjSDM1dhBsqjpduPa+j/bZK7q1XLn+6qulV9zI4EAABgCme6QaEvIpxn2rRpV5sLQBkR2TxYXRoGavXeJL28eKf+89CNZkcCAAAo9Zzec1URsOcKkPadOKdbpv2qHJuhjx++UTc1qW52JAAAgGvOmW5wVde5iouL0wsvvKABAwboxIkTkqQff/xRO3bsuJqHA1AKhVX31eDO9SRJExftUGYOk1sAAABcjtPlatWqVWrZsqV+//13ffvttzp37pwkacuWLRo/fnyxBwRgnmE9wlTdz0MHT6XrP6sPmB0HAACgVHO6XI0ZM0avvPKKli9fLnd3d/vyHj16aN26dcUaDoC5/Dzd9PxtTSVJM37Zp2PJ501OBAAAUHo5Xa62bdumO++8M9/y6tWrKykpqVhCASg97mhdUzeGVtb57Fy9tmSX2XEAAABKLafLVaVKlXT8+PF8yzdv3qxatWoVSygApYfFYtGEvs1ltUiLtx7X2jj+iAIAAFAQp8vVfffdp+eee04JCQmyWCyy2Wz67bffNGrUKA0cOLAkMgIwWfOaAfpn+7qSpAkLdyg712ZyIgAAgNLH6XL12muvqUmTJgoJCdG5c+fUrFkzde3aVR07dtQLL7xQEhkBlAJRNzdSZW837Uk8p89jDpkdBwAAoNS56utcxcfHa/v27Tp37pzatGmjhg0bFnc203CdK6BgX6yP19hvt8nPw1W/jOquan4eZkcCAAAoUc50A9erfZI6deqoTp06V7s6gDLo3htC9MX6eG09kqI3lu7W5HtamR0JAACg1ChUuYqKitLLL78sHx8fRUVFXXbs1KlTiyUYgNLHxWrRxL7Nded7a/X1xiO6P7yOrq9T2exYAAAApUKhytXmzZuVnZ1t//elWCyW4kkFoNRqU6ey7mlbW/M3HtH473dowZOd5GLlZx8AAOCqz7kqzzjnCri8k2cz1WPKSp3NyNFrd7bU/eEcIgwAAMonZ7qB07MFAkA1Pw89HdFIkvTWT7uVnJ5lciIAAADzFeqwwLvuuqvQD/jtt99edRgAZcfADnU174/Dik08qynL9ujlfi3MjgQAAGCqQpWrgICAks4BoIxxdbFqQt/mGvDBOv3390O6r12ImtfkswIAAFRcnHNVAM65AgrvqbmbtHjrcd1Qt7LmD+3AxDYAAKBcKdFzrnr06KHk5OQCn7RHjx7OPhyAMu7fvZvKy81FGw6d0YI/j5odBwAAwDROl6uVK1cqKyv/yesZGRlavXp1sYQCUHbUCPDSsJ5hkqTXluzW2YxskxMBAACYo1DnXEnS1q1b7f/euXOnEhIS7F/n5uZq6dKlqlWrVvGmA1AmDOlcT/M3HNGBpDRN/2Wfnr+tqdmRAAAArrlC77lq3bq12rRpI4vFoh49eqh169b2W9u2bfXKK69o3LhxVxVi5syZCg0Nlaenp8LDw7V+/frLjp8/f76aNGkiT09PtWzZUkuWLHG4f8KECWrSpIl8fHxUuXJlRURE6Pfff7+qbACuzMPVReNubyZJ+mjNAe07cdbkRAAAANdeocvVgQMHFBcXJ8MwtH79eh04cMB+O3r0qFJTUzV48GCnA8ybN09RUVEaP368Nm3apFatWikyMlInTpwocPzatWs1YMAADRkyRJs3b1a/fv3Ur18/bd++3T6mUaNGmjFjhrZt26Y1a9YoNDRUvXr10smTJ53OB6BwbmpcXRFNg5RjMzRh4U4xVw4AAKhoTJ8tMDw8XDfeeKNmzJghSbLZbAoJCdGwYcM0ZsyYfOP79++vtLQ0LV682L6sffv2at26tWbPnl3gc+TN8PHzzz+rZ8+eV8zEbIHA1Yk/la6It1cpK8em2f+8Xre0qGF2JAAAgCJxphsU+pyrPJ999tll7x84cGChHysrK0sbN27U2LFj7cusVqsiIiIUExNT4DoxMTGKiopyWBYZGakFCxZc8jnmzJmjgIAAtWrVqsAxmZmZyszMtH+dmppa6NcA4H/qVPXW0K719e4v+/Ty4l3q1qi6vNxdzI4FAABwTThdrkaMGOHwdXZ2ttLT0+Xu7i5vb2+nylVSUpJyc3MVFBTksDwoKEi7d+8ucJ2EhIQCx188wYYkLV68WPfdd5/S09NVo0YNLV++XIGBgQU+5qRJkzRx4sRC5wZwaY93D9M3m47qaPJ5zVq5T1G9GpsdCQAA4Jpweir2M2fOONzOnTun2NhYde7cWV988UVJZLwqN910k/7880+tXbtWt9xyi+69995Lnsc1duxYpaSk2G+HDx++xmmB8sPL3UUv9L4wW+DsX/cr/lS6yYkAAACuDafLVUEaNmyo119/Pd9erSsJDAyUi4uLEhMTHZYnJiYqODi4wHWCg4MLNd7Hx0dhYWFq3769PvzwQ7m6uurDDz8s8DE9PDzk7+/vcANw9W5pEazOYYHKyrHppcU7zY4DAABwTRRLuZIkV1dXHTt2zKl13N3d1bZtW0VHR9uX2Ww2RUdHq0OHDgWu06FDB4fxkrR8+fJLjr/4cS8+rwpAybFYLJrQt5lcrRb9vCtR47/frpNn+fkDAADlm9PnXC1cuNDha8MwdPz4cc2YMUOdOnVyOkBUVJQeeugh3XDDDWrXrp2mTZumtLQ0DRo0SNKFCTJq1aqlSZMmSbpwzle3bt00ZcoU9e7dW19++aU2bNigOXPmSJLS0tL06quvqm/fvqpRo4aSkpI0c+ZMHT16VPfcc4/T+QBcnbDqfnrypjC9E71Xn8Yc0lcbjmhw51A92qWBArzdzI4HAABQ7JwuV/369XP42mKxqFq1aurRo4emTJnidID+/fvr5MmTGjdunBISEtS6dWstXbrUPmlFfHy8rNb/7WDr2LGj5s6dqxdeeEHPP/+8GjZsqAULFqhFixaSJBcXF+3evVuffvqpkpKSVLVqVd14441avXq1mjdv7nQ+AFdvZERD3RhaRW8ti9WWw8mauSJOn8cc0mPdGujhjqHy8XD6IwgAAKDUMv06V6UR17kCipdhGPp51wlN/ilWsYlnJUmBvu56onuY7g+vI083pmsHAAClkzPd4KrLVVJSkiRdcnrzsoxyBZQMm83Qoq3H9PbyPTr41yyCNQI8NaJnQ93dtrbcXIrtNFAAAIBi4Uw3cOo3meTkZD355JMKDAxUUFCQgoKCFBgYqKeeekrJyclFyQygArBaLbqjdS0tj+qm1+9qqRoBnjqekqEx327TzVNX6fs/j8pmY2c6AAAomwq95+r06dPq0KGDjh49qgceeEBNm164js3OnTs1d+5chYSEaO3atapcuXKJBr4W2HMFXBsZ2bma+3u8Zq7Yp1NpWZKkJsF+irq5kW5uFiSLxWJyQgAAUNGVyGGBI0eOVHR0tH7++Wf7ZBN5EhIS1KtXL/Xs2VNvv/321ScvJShXwLWVlpmjT9Ye1OxVcTqbkSNJahVSSaN7NVansKqULAAAYJoSKVehoaF6//33FRkZWeD9S5cu1dChQ3Xw4EGnA5c2lCvAHCnp2ZqzOk4frTmo89m5kqT29atodGRjta1bxeR0AACgIiqRcuXh4aG4uDjVrl27wPuPHDmisLAwZWRkOJ+4lKFcAeY6eTZT763cp/+ui1dWrk2S1KNJdT3Tq5Ga1wwwOR0AAKhISmRCi8DAwMvulTpw4ICqVOEvywCKrpqfh8bf3lwrRnfXfTeGyMVq0S+7T6j3u2v05NxNijt5zuyIAAAA+RR6z9XgwYMVFxen5cuXy93d3eG+zMxMRUZGqn79+vroo49KJOi1xJ4roHQ5kJSmt5fv0aKtx2QYktUi3X19bY2IaKjalb3NjgcAAMqxEjks8MiRI7rhhhvk4eGhJ598Uk2aNJFhGNq1a5fee+89ZWZmasOGDQoJCSmWF2EmyhVQOu06nqopy/bo512JkiQ3F4vub1dHT/YIU3U/T5PTAQCA8qjELiJ84MABPfHEE1q2bJnyVrNYLLr55ps1Y8YMhYWFFS15KUG5Akq3zfFnNGXZHq3Zd+Fi5p5uVj3csZ6GdquvSt7uV1gbAACg8EqsXOU5c+aM9u7dK0kKCwsrd+daUa6AsmFtXJIm/xSrTfHJkiQ/D1c90rW+BneuJ18PV3PDAQCAcqHEy1V5R7kCyg7DMPTL7hOavGyPdh1PlSRV8XHXE90b6J/t68rTzcXkhAAAoCyjXBUR5Qooe2w2Qz9sO663l+/R/qQ0SVKQv4eG92yoe28IkZtLoSdHBQAAsKNcFRHlCii7cnJt+nbTUb0TvVdHk89LkupU8dbIiIa6o3UtuVgtJicEAABlCeWqiChXQNmXmZOrL36P14wVcUo6lylJaljdV8/0aqTI5sGyWChZAADgyihXRUS5AsqP9KwcfbL2oN5ftV8p57MlSdfVDtAzvRqra8NAShYAALgsylURUa6A8iflfLb+s3q/PlxzQOlZuZKkdvWqaHRkY90YWr5mPAUAAMWHclVElCug/Dp1LlOzVsbps3WHlJVjkyR1b1xNo3o1VotaASanAwAApQ3lqogoV0D5dzzlvKb/sk9f/XFYObYLH4O3tghW1M2N1DDIz+R0AACgtKBcFRHlCqg4Dp1K07Sf92rBn0dlGJLVIvVrU0tPRzRSSBVvs+MBAACTUa6KiHIFVDyxCWc1dXmsftqRKElyc7Go/40hGtajoYL8PU1OBwAAzEK5KiLKFVBxbTmcrMnLYrV6b5IkycPVqoc6hmpotwaq4uNucjoAAHCtUa6KiHIFYN3+U5r8U6w2HDojSfL1cNWQzvX0ry715OfpZnI6AABwrVCuiohyBUCSDMPQyj0nNfmnWO04lipJquTtpse7NdDADqHycncxOSEAAChplKsiolwBuJjNZmjpjgRNWRaruJNpkqTqfh4a1iNM/W+sI3dXq8kJAQBASaFcFRHlCkBBcnJtWvDnMU37eY+OnDkvSapd2UsjIxrpzja15GK1mJwQAAAUN8pVEVGuAFxOVo5N8/6I17u/7NPJs5mSpAbVfBR1c2Pd2iJYVkoWAADlBuWqiChXAArjfFauPos5qFmr4pScni1Jal7TX6N6NVb3xtVksVCyAAAo6yhXRUS5AuCMsxnZ+s/qA/pwzQGdy8yRJN1Qt7JGRTZW+/pVTU4HAACKgnJVRJQrAFfjdFqW3l8Vp0/WHlRmjk2S1KVhoEb1aqxWIZXMDQcAAK4K5aqIKFcAiiIxNUMzftmnL9bHK8d24SM2snmQnunVWI2C/ExOBwAAnEG5KiLKFYDicPh0uqb9vFffbT4imyFZLFK/1rU0MqKh6lb1MTseAAAoBMpVEVGuABSnfSfOauryPVqyLUGS5Gq16N4bQzSsR5hqBHiZnA4AAFwO5aqIKFcASsL2oymavCxWK2NPSpLcXa16sH1dPdG9gar6epicDgAAFIRyVUSUKwAl6Y+Dp/XW0litP3hakuTj7qLBnevpX13qK8DLzeR0AADgYpSrIqJcAShphmHo171JmvxTrLYdTZEkBXi56bFu9fVwx1B5u7uanBAAAEiUqyKjXAG4VgzD0E87EjRl2R7tPXFOkhTo66GnbmqgAeF15OHqYnJCAAAqNspVEVGuAFxruTZD3/95VNN+3qv40+mSpFqVvDSiZ0PddX0tubpYTU4IAEDFRLkqIsoVALNk59r01YbDmh69TwmpGZKk+oE+evrmRurdsoasVovJCQEAqFgoV0VEuQJgtozsXP3fukN6b2WcTqdlSZKa1vDXqF6N1KNJdVkslCwAAK4FylURUa4AlBbnMnP00ZoD+uDX/TqbmSNJalOnkkZHNlbHBoEmpwMAoPyjXBUR5QpAaZOcnqXZq/brk7UHlJFtkyR1CquqUb0aq02dyianAwCg/KJcFRHlCkBpdSI1QzNX7NPc9fHKzr3w8R3RNEjP9GqkpjX4vAIAoLhRroqIcgWgtDt8Ol3vRu/VN5uOyGZIFot0+3U19fTNjVQv0MfseAAAlBuUqyKiXAEoK/adOKe3f96jH7YelyS5WC36x/W1NTyioWpV8jI5HQAAZR/lqogoVwDKmh3HUjRl2R79svuEJMndxar7w+voyZvCVM3Pw+R0AACUXZSrIqJcASirNh46rbd+itW6/aclSV5uLhrUKVSPdW2gAG83k9MBAFD2UK6KiHIFoCwzDEO/7Tult5bFasvhZEmSn6erHutaX4M61ZOPh6u5AQEAKEMoV0VEuQJQHhiGoZ93ndDkn2IVm3hWklTVx11P3BSmB8LryNPNxeSEAACUfpSrIqJcAShPbDZDi7Ye09vL9+jgqXRJUo0ATw3v2VD/aFtbbi5WkxMCAFB6Ua6KiHIFoDzKzrXpm41H9E70Xh1PyZAkhVb11tM3N9Lt19WU1WoxOSEAAKWPM92gVPy5cubMmQoNDZWnp6fCw8O1fv36y46fP3++mjRpIk9PT7Vs2VJLliyx35edna3nnntOLVu2lI+Pj2rWrKmBAwfq2LFjJf0yAKBUc3Ox6r52dbRiVHeN69NMVX3cdfBUukZ8+adufWe1lu1IEH9vAwDg6plerubNm6eoqCiNHz9emzZtUqtWrRQZGakTJ04UOH7t2rUaMGCAhgwZos2bN6tfv37q16+ftm/fLklKT0/Xpk2b9OKLL2rTpk369ttvFRsbq759+17LlwUApZanm4sGd66nX5+9SaMjG8vP01WxiWf16Ocb1e+9tVq99yQlCwCAq2D6YYHh4eG68cYbNWPGDEmSzWZTSEiIhg0bpjFjxuQb379/f6WlpWnx4sX2Ze3bt1fr1q01e/bsAp/jjz/+ULt27XTo0CHVqVPnipk4LBBARZKSnq05q+P00ZqDOp+dK0lqX7+KRkc2Vtu6VUxOBwCAucrMYYFZWVnauHGjIiIi7MusVqsiIiIUExNT4DoxMTEO4yUpMjLykuMlKSUlRRaLRZUqVSrw/szMTKWmpjrcAKCiCPB20+jIJvr12Zs0qFOo3F2sWrf/tO6eFaPBn/yhHcdSzI4IAECZYGq5SkpKUm5uroKCghyWBwUFKSEhocB1EhISnBqfkZGh5557TgMGDLhk05w0aZICAgLst5CQkKt4NQBQtlXz89D425trxejuuu/GELlYLfpl9wn1fneNnpy7SXEnz5kdEQCAUs30c65KUnZ2tu69914ZhqFZs2ZdctzYsWOVkpJivx0+fPgapgSA0qVWJS+9fvd1+jmqm/q2qilJ+mHrcd08dZVGz9+iI2fSTU4IAEDpZGq5CgwMlIuLixITEx2WJyYmKjg4uMB1goODCzU+r1gdOnRIy5cvv+zxkR4eHvL393e4AUBFVy/QR+8OaKMfR3RRRNMg2Qxp/sYjumnySo3/frtOnM0wOyIAAKWKqeXK3d1dbdu2VXR0tH2ZzWZTdHS0OnToUOA6HTp0cBgvScuXL3cYn1es9u7dq59//llVq1YtmRcAABVA0xr++s9DN+i7Jzqqc1igsnMNfRpzSF3fXKHXf9yt5PQssyMCAFAqmD5b4Lx58/TQQw/p/fffV7t27TRt2jR99dVX2r17t4KCgjRw4EDVqlVLkyZNknRhKvZu3brp9ddfV+/evfXll1/qtdde06ZNm9SiRQtlZ2frH//4hzZt2qTFixc7nJ9VpUoVubu7XzETswUCwKWtjUvS5J9itSk+WZLk5+Gqf3WpryFd6snXw9XccAAAFDNnuoHp5UqSZsyYobfeeksJCQlq3bq13n33XYWHh0uSunfvrtDQUH3yySf28fPnz9cLL7yggwcPqmHDhnrzzTd12223SZIOHjyoevXqFfg8K1asUPfu3a+Yh3IFAJdnGIZ+2X1Ck5ft0a7jF2ZYreLjrse7NdCDHerK083F5IQAABSPMleuShvKFQAUjs1m6Idtx/X28j3an5QmSQry99CwHg117w0hcnct1/MmAQAqAMpVEVGuAMA5Obk2fbvpqN6J3qujyeclSSFVvPR0RCPd0bqWXKwWkxMCAHB1KFdFRLkCgKuTmZOrL36P14wVcUo6lylJaljdV8/0aqTI5sGyWChZAICyhXJVRJQrACia9KwcfbL2oN5ftV8p57MlSS1rBWhUZGN1bRhIyQIAlBmUqyKiXAFA8Ug5n63/rN6vD9ccUHpWriSpXWgVjYpsrHb1qpicDgCAK6NcFRHlCgCKV9K5TM1aGafP1x1SVo5NktStUTWN6tVYLWsHmJwOAIBLo1wVEeUKAErG8ZTzmv7LPn31x2Hl2C787+fWFsGKurmRGgb5mZwOAID8KFdFRLkCgJJ16FSapv28Vwv+PCrDkKwWqV+bWhrZs5HqVPU2Ox4AAHaUqyKiXAHAtRGbcFZTl8fqpx2JkiRXq0X3tQvRsB4NFeTvaXI6AAAoV0VGuQKAa2vL4WRNXhar1XuTJEkerlY91DFUQ7s1UBUfd5PTAQAqMspVEVGuAMAc6/af0uSfYrXh0BlJkq+HqwZ3rqd/daknf083k9MBACoiylURUa4AwDyGYWjlnpOa/FOsdhxLlSRV8nbT0G4N9FCHUHm5u5icEABQkVCuiohyBQDms9kMLd2RoCnLYhV3Mk2SVM3PQ8N6hOm+G+vI3dVqckIAQEVAuSoiyhUAlB45uTYt+POYpv28R0fOnJck1a7spRE9G+rONrXk6kLJAgCUHMpVEVGuAKD0ycqxad4f8Xr3l306eTZTktSgmo+ibm6sW1sEy2q1mJwQAFAeUa6KiHIFAKXX+axcfRZzULNWxSk5PVuS1KyGv0ZHNlb3xtVksVCyAADFh3JVRJQrACj9UjOy9eHqA/pwzQGdy8yRJLWtW1mjIxurff2qJqcDAJQXlKsiolwBQNlxOi1L76+K0ydrDyozxyZJ6tIwUKN6NVarkErmhgMAlHmUqyKiXAFA2ZOYmqEZv+zTF+vjlWO78L+2Xs2C9Eyvxmoc7GdyOgBAWUW5KiLKFQCUXYdPp2vaz3v13eYjshmSxSLd0aqmRkY0Umigj9nxAABlDOWqiChXAFD27TtxVlOX79GSbQmSJFerRffcEKLhPcNUI8DL5HQAgLKCclVElCsAKD+2H03R5GWxWhl7UpLk7mrVg+3r6onuDVTV18PkdACA0o5yVUSUKwAof/44eFpvLY3V+oOnJUne7i4a0rme/tWlvgK83ExOBwAorShXRUS5AoDyyTAM/bo3SZN/itW2oymSJH9PVz3WrYEGdQqVt7uryQkBAKUN5aqIKFcAUL4ZhqGfdiRoyrI92nvinCQp0NdDT97UQPeH15GHq4vJCQEApQXlqogoVwBQMeTaDH3/51FN+3mv4k+nS5JqVfLS8J5huvv62nJ1sZqcEABgNspVEVGuAKBiyc616asNh/Vu9F4lpmZKkuoH+mhEREO1r19VVX3cKVoAUEFRroqIcgUAFVNGdq7+b90hvbcyTqfTsuzLrZYLhw0G+XsqyN9D1f09FeR34d9B/p6q/td/q3i7y2q1mPgKAADFjXJVRJQrAKjYzmXm6KM1BzTvj8M6nnJetkL+n9LValF1v7/Kl39eGfNUdT8PBQdc+HeQn6f8vVxlsVDCAKAsoFwVEeUKAJAn12bo1LlMJaZmKjE1Q4lnM5SYmqkTqRkXvk7N1ImzGUo6l3XlB/uLh6v1invBgvw95evB7IUAYDZnugGf2gAAXIaL1aLq/p6q7u+plgq45LisHJuSzmU6FK68fyemZuhEaqYSz2YoOT1bmTk2xZ9Ot0+icSk+7i75Cld1v//9O6+QeboxuyEAlAaUKwAAioG7q1U1K3mpZiWvy47LyM7VybOZDsUr8exf5euvvWEnUjN1NjNHaVm52p+Upv1JaZd9TH9P1/+Vr7wi9tehiNX/Wl7N10PurkzKAQAliXIFAMA15OnmopAq3gqp4n3Zcecyc/469PDSe8ESUzOUkW1TakaOUjPO2a/ZdSlVfdz/dz6Y30WHJV60F4yZEQHg6lGuAAAohXw9XOVbzVf1q/lecoxhGErN+F8JK2gvWF45y841dCotS6fSsrTr+KWfl5kRAeDqUa4AACijLBaLArzcFODlpoZBfpccZ7MZSj6f7XDYYf7JOTJ18lymcm2GTpzN1Imzmdp29NLPfamZES/eC8bMiAAqGsoVAADlnNVqURUfd1XxcVfTGpee6SrXZuhUWuZFe77+OgzxrxKWkJJhnxkxx2boWEqGjqVkXPa5mRkRQEXCJxkAAJD018yIfp6q7uepFrUuPTNidq7NYVIOZkYEgAsoVwAAwCluLqVrZsRgf8fJOZgZEYBZKFcAAKBEFHZmxLTMHJ04m1nAOWF5e8IylMDMiADKAMoVAAAwlY+Hq+p5uKpeoM8lxxiGobOZOUpMYWZEAKUX5QoAAJR6FotF/p5u8ve8/MyIhmHoTHrJzowY7O+Zby8YMyMCkChXAACgHLFYimdmxLxlp9IymRkRQKHx0w0AACocZ2ZGTDqXedFMiBcflphpPx+MmREBSJQrAACAS3JzsapGgJdqBJg/M2LwReWLmRGB0olyBQAAUESlcWbE6n4equrrrkre7qrs7a4ALze5MDEHUKIoVwAAANeIMzMjOhyCWMA5YSdSM5WVayvUzIiSZLFI/p5uquTt9lfhclNlb3dVuui/BS33dndhog6gkChXAAAApcjFMyOGVb/8zIjJ6dn2mRATUzMuTFV/0cyIZ9KzdSY9S2czcmQYUsr5bKWcz9ahU5c/L+xi7i5WBXi7qXK+8pVXwNzse8fy/l3J201uXEMMFRDlCgAAoAyyWCyq7OOuyj7uahJ8+bHZuTalnM9WcnqWzqRnK/mv0vW/r7N0Ji1byeez7PedSc9WVo5NWbk2nTybqZNnM53K5+vh6rBX7HJ7xyp7uyvA203+nkxnj7KNcgUAAFDOublYFejroUBfj0KvYxiGzmfn2svXxaUrOe1/pSz5fF5Ru/DflPPZMgzpXGaOzmXm6MiZ84V+TherRZW83C4qY5ffO5ZX0JhZEaUF5QoAAAD5WCwWebu7ytvdVbUqXX62xIvl2gylns++qHRd2CuWV8CSz/9tb9lfhe18du5f1x+7cA6ZdPnZFC/m5ebyvwLm46ZKXu759ppV9nFTgNf/9pr5M8EHSgDlCgAAAMXGxfq/wxXr6dITd/xdRnauUv4qZBeXrry9YWcu2lv2v6KWrVzbhT1s51Nyr3ih54tZLFKAl5t9JsWLzyWr7O2mSj5//TevqP31tZcbE3zg0ihXAAAAMJ2nm4s83S5cYLmw8mZWTE7LO2Txr9J18blk6Y57zZLTsnU288IEH8l/nX/mDHdXq2Ppyttb5l1wGavk7a5KXm5yZYKPCsH0cjVz5ky99dZbSkhIUKtWrTR9+nS1a9fukuPnz5+vF198UQcPHlTDhg31xhtv6LbbbrPf/+2332r27NnauHGjTp8+rc2bN6t169bX4JUAAADgWrp4ZsU6VS9/jbGLZefa8pUwh3PKHIra/8pZVq5NWTm2v2ZndG6CDz8PV1Xycdw7Zp/kw+tCGfv7cl8PJvgoa0wtV/PmzVNUVJRmz56t8PBwTZs2TZGRkYqNjVX16tXzjV+7dq0GDBigSZMmqU+fPpo7d6769eunTZs2qUWLFpKktLQ0de7cWffee68eeeSRa/2SAAAAUMq5uVhVzc9D1fycm+AjPSu3gNL1t71jf9trlppxYYKPs5k5OpuZo8OnCz/Bh6vV4jDD4sXlK8A+06LjZB8B3m7ycGWCD7NYDMMwzHry8PBw3XjjjZoxY4YkyWazKSQkRMOGDdOYMWPyje/fv7/S0tK0ePFi+7L27durdevWmj17tsPYgwcPql69ele15yo1NVUBAQFKSUmRv7+/8y8MAAAA0IUJPhynwb/03rGLl2dk2676Ob3dXQqYAv8Se83++trf001WJvgokDPdwLQ9V1lZWdq4caPGjh1rX2a1WhUREaGYmJgC14mJiVFUVJTDssjISC1YsKBIWTIzM5WZ+b9du6mpqUV6PAAAAEC6MMFHFR93VfFxd2q9jOzci0pXlsPhiZc8pyw9SzZDSs/KVXrWeR1NLvxeMutFE3xUKsTesbzrk3m5s5fsYqaVq6SkJOXm5iooKMhheVBQkHbv3l3gOgkJCQWOT0hIKFKWSZMmaeLEiUV6DAAAAKC4eLq5KDjARcEBhZ/gw2b7a4IPh9KVV8wuvdfsXGaObIb+Wse5CT48XK1X3Dv2971kAeV4gg/TJ7QoDcaOHeuwRyw1NVUhISEmJgIAAACcY7VaFOB1obzUrVr49bJybBdmUky/MOV98vm/7RW7xHXKsnMNZebYlJCaoYTUwk+DL0n+nq4XJvHw+vs5ZXnXJHNTdT9PdWjgxAspBUwrV4GBgXJxcVFiYqLD8sTERAUHBxe4TnBwsFPjC8vDw0MeHoU/oREAAAAoL9xdraru56nqfs5Ng5+WlXuhjBVwcWj7XrPzF+01S8tSakaOJCk1I0epGTk6dJnnqFvVW6tG31TEV3dtmVau3N3d1bZtW0VHR6tfv36SLkxoER0draeeeqrAdTp06KDo6GiNHDnSvmz58uXq0KHDNUgMAAAAQLowDb6vh6t8PVwVUqXw6+Xk2i5M8HH+70Xsr/9etDzIv+zt/DD1sMCoqCg99NBDuuGGG9SuXTtNmzZNaWlpGjRokCRp4MCBqlWrliZNmiRJGjFihLp166YpU6aod+/e+vLLL7VhwwbNmTPH/pinT59WfHy8jh07JkmKjY2VdGGvV1H3cAEAAAC4eq4uVlX19VBV37JXnArD1HLVv39/nTx5UuPGjVNCQoJat26tpUuX2ietiI+Pl9X6v5PdOnbsqLlz5+qFF17Q888/r4YNG2rBggX2a1xJ0sKFC+3lTJLuu+8+SdL48eM1YcKEa/PCAAAAAFQ4pl7nqrTiOlcAAAAAJOe6QfmcAxEAAAAArjHKFQAAAAAUA8oVAAAAABQDyhUAAAAAFAPKFQAAAAAUA8oVAAAAABQDyhUAAAAAFAPKFQAAAAAUA8oVAAAAABQDyhUAAAAAFAPKFQAAAAAUA8oVAAAAABQDyhUAAAAAFAPKFQAAAAAUA8oVAAAAABQDyhUAAAAAFANXswOURoZhSJJSU1NNTgIAAADATHmdIK8jXA7lqgBnz56VJIWEhJicBAAAAEBpcPbsWQUEBFx2jMUoTAWrYGw2m44dOyY/Pz9ZLBZTs6SmpiokJESHDx+Wv7+/qVkAZ7H9oqxjG0ZZxvaLsqw0bb+GYejs2bOqWbOmrNbLn1XFnqsCWK1W1a5d2+wYDvz9/U3fsICrxfaLso5tGGUZ2y/KstKy/V5pj1UeJrQAAAAAgGJAuQIAAACAYkC5KuU8PDw0fvx4eXh4mB0FcBrbL8o6tmGUZWy/KMvK6vbLhBYAAAAAUAzYcwUAAAAAxYByBQAAAADFgHIFAAAAAMWAcnUF3bt3l8VikcVi0Z9//ml2nGvm4Ycftr/uBQsWmB0HV6mibr8V9XWXRxX1e8lncNlTUbfVwuC9KT/K0/fyk08+sb+WkSNHFtvjUq4K4ZFHHtHx48fVokULSdLw4cPVtm1beXh4qHXr1gWus3XrVnXp0kWenp4KCQnRm2++mW/M/Pnz1aRJE3l6eqply5ZasmTJZXOcPn1aw4YNU+PGjeXl5aU6depo+PDhSklJcRgXHx+v3r17y9vbW9WrV9fo0aOVk5PjMGblypW6/vrr5eHhobCwMH3yyScO97/zzjs6fvz4Fd4ZlAUXb79btmzRgAEDFBISIi8vLzVt2lTvvPNOvnWutH1I0syZMxUaGipPT0+Fh4dr/fr1hc6UmZmp1q1bF/jhXBw/O99++61TeVC6/f0zOM+pU6dUu3ZtWSwWJScnO9xXktvwDz/8oPDwcHl5ealy5crq16+fw/18BldcBW2rn3zyia677jp5enqqevXqevLJJx3WKYnfFyRpzpw56t69u/z9/Qv8GZEu/F7xwAMPyN/fX5UqVdKQIUN07ty5Ys/HZ3L5cqnP5MLYsWOH7r77boWGhspisWjatGkFjrvS53NGRoaefPJJVa1aVb6+vrr77ruVmJjoMOZKn8X9+/fX8ePH1aFDB6dfx2UZuKxu3boZI0aMcFg2bNgwY8aMGcaDDz5otGrVKt86KSkpRlBQkPHAAw8Y27dvN7744gvDy8vLeP/99+1jfvvtN8PFxcV48803jZ07dxovvPCC4ebmZmzbtu2SWbZt22bcddddxsKFC419+/YZ0dHRRsOGDY27777bPiYnJ8do0aKFERERYWzevNlYsmSJERgYaIwdO9Y+Zv/+/Ya3t7cRFRVl7Ny505g+fbrh4uJiLF26NN9zSjK+++67wr9hKFX+vv1++OGHxvDhw42VK1cacXFxxueff254eXkZ06dPt48pzPbx5ZdfGu7u7sZHH31k7Nixw3jkkUeMSpUqGYmJiYXKNXz4cOPWW281JBmbN2+2Ly/On50DBw7ke3yUPQV9Bue544477NvRmTNn7MtLchv++uuvjcqVKxuzZs0yYmNjjR07dhjz5s2z389ncMVV0LY6ZcoUo2bNmsZ///tfY9++fcaWLVuM77//3n5/Sf2+YBiG8fbbbxuTJk0yJk2alO9nJM8tt9xitGrVyli3bp2xevVqIywszBgwYECJ5OMzuXwoaDs/dOhQoddfv369MWrUKOOLL74wgoODjbfffjvfmMJ8Pg8dOtQICQkxoqOjjQ0bNhjt27c3OnbsaL+/MJ/Fl3tNRUG5uoLLveHjx48vsFy99957RuXKlY3MzEz7sueee85o3Lix/et7773X6N27t8N64eHhxmOPPeZUvq+++spwd3c3srOzDcMwjCVLlhhWq9VISEiwj5k1a5bh7+9vz/Pss88azZs3d3ic/v37G5GRkfken/+xl22F+cB44oknjJtuusn+dWG2j3bt2hlPPvmk/evc3FyjZs2axqRJk66YacmSJUaTJk2MHTt25PsfbXH+7PA/8vLhUtvwe++9Z3Tr1s2Ijo7O94tjSW3D2dnZRq1atYz//Oc/lxzDZ3DF9fdt9fTp04aXl5fx888/X3Kda/H7wooVKwosVzt37jQkGX/88Yd92Y8//mhYLBbj6NGjxZ6Pz+TyoaDPZKvVavTs2dP47LPPjLS0tEI/Vt26dQssV1f6fE5OTjbc3NyM+fPn28fs2rXLkGTExMQYhlG4z+LLvaai4LDAEhATE6OuXbvK3d3dviwyMlKxsbE6c+aMfUxERITDepGRkYqJiXHquVJSUuTv7y9XV1f747Zs2VJBQUEOj5uamqodO3YU63OjfEhJSVGVKlXsX19p+8jKytLGjRsdxlitVkVERFxxG0pMTNQjjzyizz//XN7e3vnuv5Y/Oyi7du7cqZdeekmfffaZrNb8/xsrqW1406ZNOnr0qKxWq9q0aaMaNWro1ltv1fbt2x2em89gSNLy5ctls9l09OhRNW3aVLVr19a9996rw4cP28eY+ZkXExOjSpUq6YYbbrAvi4iIkNVq1e+//256PpQdO3fuVLt27fTCCy8oKChIgwcP1qpVq2RcxaV0C/P5vHHjRmVnZzuMadKkierUqWMfU5jP4pJCuSoBCQkJDt9MSfavExISLjsm7/7CSEpK0ssvv6xHH320WJ47NTVV58+fL/Tzo+xbu3at5s2bV6htKG/7SEpKUm5urtPbr2EYevjhhzV06FCH/5lf7Fr97KDsyszM1IABA/TWW2+pTp06BY4pqW14//79kqQJEybohRde0OLFi1W5cmV1795dp0+fvuxz591XmHwoH/bv3y+bzabXXnvt/9u7+5imrj4O4N+KFKXldcCKTFDGy4BoICiuukWZTmHqkGzuDcVtLuqM0ak4NegAEwhLZG46tyxqihomTB2GQeZCYBtM3HRSXZ3I0MkaSQ2bRKhukbfz/PGE++wK2sLTgpTvJ7kJvffce363/Hp6T277Kz788EMcO3YMLS0tePbZZ9He3g5gaMe8GzduwM/PT7Zu9OjR8Pb2ttj3YMRHw0d4eDhycnLQ2NiIkpISCCGwcOFCPP7448jMzMS1a9esPpY14/ONGzegVCrh6en5wDaWctdeOLl6SOXk5ECtVkuL0WiUbW9ra8P8+fMRGRmJzMzMoQmShrWLFy8iKSkJGRkZmDt3rk2PvWrVKln+AsCePXtgNpuxdetWm/ZFI8vWrVsRERGBJUuW2LWfvnK4u7sbAJCeno4XXngBsbGx0Ol0UCgUOHr0qF3joeGnu7sbHR0d2L17N+bNm4cnn3wSR44cQUNDA7799lub9WPpeoFosCgUCsTHx0On0+H69evQarXIysrC+vXrhzq0QTV6qANwRBqNplfFkp7HGo3mgW16tq9atQovvfSStG3cuHHS32azGQkJCXBzc0NxcTGcnZ1lfd9bUcXavt3d3TF27Nj+nzANO5cuXcLs2bOxYsUKbNu2TbbNUn44OTnBycnpgfm7Y8cOpKWlybZXVlbi9OnTcHFxka2fMmUKUlJScPDgQZu8dsixVVZWwmAw4NixYwAgfezEx8cH6enpyMrKslsO+/v7AwAiIyOldS4uLggODpYuaDkGU4++8sXX1xc+Pj6yfLHn9cKDaDQaNDc3y9Z1dnaipaXFYt/9iY9GltraWhw6dAhHjhyBQqHAhg0b8NZbb1m9v4+Pj8XxWaPRoL29Hbdu3ZLdvbq3jaWx2F5458oOtFotqqqq0NHRIa0rLy9HeHg4vLy8pDYVFRWy/crLy6VykN7e3ggJCZGWnu9UtbW1Ye7cuVAqlSgpKcGYMWN69W0wGGQDZnl5Odzd3aUB3lLf5Nh+/fVXxMfHY9myZcjOzu613VJ+KJVKxMbGytp0d3ejoqJCauPn5yfLXwDYvXs3Lly4gPPnz+P8+fNSqd6ioiIpDlu8dsixHT9+XJZH+/fvBwBUV1dLJa7tlcM9P8FRX18v7dfR0YHGxkYEBQVJfXMMJgCYMWMGAMjypaWlBX/99ZcsX+x1vWCJVqvFrVu3cO7cOWldZWUluru7MW3aNJvFR47v+vXryM3NRVRUFKZPn46mpiYcOHAA169fR15eHiIiIqw+ljXjc2xsLJydnWVt6uvrYTQapTbWjMV2Y7PSGA6qrwoiDQ0NQq/Xi5UrV4qwsDCh1+uFXq+Xqo/cunVLPProo2Lp0qXi4sWLorCwULi6uvYqXTp69Gixc+dOUVdXJzIyMiyWVm1tbRXTpk0TkyZNEleuXBEmk0laOjs7hRD/Kz05d+5ccf78eXHy5Enh6+vbZxngTZs2ibq6OrF3716WAXZQ9+avwWAQvr6+YsmSJbL8aW5ultpYkx+FhYXCxcVF5Ofni0uXLokVK1YIT09PWVUeS/qqHGXL1w4rUzkGS1Wc+qqEZs8cXrdunQgICBDffPONuHz5sli+fLnw8/MTLS0tQgiOwSNZX7malJQkoqKixKlTp4TBYBALFiwQkZGRor29XQhhv+sFIYQwmUxCr9eLffv2CQCiqqpK6PV6cfPmTalNQkKCiImJET/99JP44YcfRGhoqKwUO8dkutf9qgXGxcWJvXv3SmPh/dy9e1e6bvb39xdpaWlCr9eLhoYGqY014/OqVatEYGCgqKysFD///LPQarVCq9VK260Zix90Tv8PTq4s6OsJnzlzpgDQa7l27ZrU5sKFC+Kpp54SLi4uIiAgQOTm5vY69hdffCHCwsKEUqkUUVFRoqys7IGx9FxEWOq7sbFRJCYmirFjxwofHx+xceNGqVT7v48VHR0tlEqlCA4OFjqdrs8++cY+vN2bvxkZGX3mT1BQkGw/a/Jjz549IjAwUCiVShEXFyd+/PHHfsV2vzdaW712+EbuGAYyuepZb48cbm9vFxs3bhR+fn7Czc1NzJkzR1y8eFHWhmPwyNRXrra2too333xTeHp6Cm9vb5GcnCyMRqOsjT2uF4S4/3j/71y7efOmePXVV4VarRbu7u7ijTfeEGaz2S7xcUx2DH3leV1dndX79+TBvcvMmTNl7SyNz//8849YvXq18PLyEq6uriI5OVmYTCZZG2vG4vud0/9DIcQA6iSOILNmzUJ0dPR9f0Ha0SkUChQXF2PRokVDHQoNwEjO38bGRkycOBF6vR7R0dFDHQ4N0EjOYYBj8HAy0nPVEo7JjsER89zW58TvXFnhk08+gVqthsFgGOpQBk1PpSwa/kZi/iYmJiIqKmqowyAbGYk5zDF4eBqJuWoNjsmOxVHyvKCgAGq1GtXV1TY9Lu9cWdDU1CT97khgYKDsh/QcWXNzM9ra2gD8t+KRSqUa4ohoIEZq/o7U83ZEI/V/yTF4+BmpuWoNPjeOw5H+l2azWaog6OnpCR8fH5scl5MrIiIiIiIiG+DHAomIiIiIiGyAkysiIiIiIiIb4OSKiIiIiIjIBji5IiIiIiIisgFOroiIiIiIiGyAkysiIhoWZs2ahXfeeWeowyAiIrovTq6IiOih8Prrr0OhUPRarly5Mmgx5OfnS/2OGjUK/v7+ePnll2E0GgctBiIiGr44uSIioodGQkICTCaTbJk4ceKgxuDu7g6TyYSmpiYcP34c9fX1WLx48aDGQEREwxMnV0RE9NBwcXGBRqORLU5OTn22VSgUOHHihGydp6cn8vPzAQCHDh2CWq1GQ0ODtH316tV44okn8Pfff983BoVCAY1GA39/f0yfPh3Lly/HmTNn0NbWJrXZvHkzwsLC4OrqiuDgYGzfvh0dHR3S9szMTERHR+Pw4cOYMGECPDw88Morr8BsNkttzGYzUlJSoFKp4O/vj127dvX66OPdu3eRlpaGgIAAqFQqTJs2Dd99950VzyQREQ0FTq6IiMghpaam4rnnnkNKSgo6OztRVlaG/fv3o6CgAK6urlYdo7m5GcXFxXBycpJN8tzc3JCfn49Lly7ho48+wr59+7Br1y7ZvlevXsWJEydQWlqK0tJSfP/998jNzZW2b9iwAadOnUJJSQnKy8tRXV2N2tpa2THWrFmD06dPo7CwEL/88gsWL16MhIQE2YSRiIgeHqOHOgAiIqIepaWlUKvV0uPExEQcPXp0wMf77LPPMHnyZKxduxZffvklMjMzERsb+8B9WltboVarIYSQ7nCtXbsWKpVKarNt2zbp7wkTJiAtLQ2FhYV49913pfXd3d3Iz8+Hm5sbAGDp0qWoqKhAdnY2zGYzDh48iM8//xyzZ88GAOh0OowbN07a32g0QqfTwWg0SuvT0tJw8uRJ6HQ65OTkDPh5ISIi++DkioiIHhrx8fH49NNPpcf/ntAMhJeXFw4cOIB58+Zh+vTp2LJli8V93NzcUFtbi46ODnz99dcoKChAdna2rE1RURF2796Nq1ev4vbt2+js7IS7u7uszYQJE6SJFQD4+/ujubkZAPD777+jo6MDcXFx0nYPDw+Eh4dLjw0GA7q6uhAWFiY77t27d/HII49Y/yQQEdGg4eSKiIgeGiqVCiEhIVa1VSgUEELI1v37e089qqqq4OTkBJPJhDt37sgmPH0ZNWqUFENERASuXr2Kt99+G4cPHwYAnD59GikpKcjKysK8efPg4eGBwsJC5OXlyY7j7OzcK97u7m6rzg0Abt++DScnJ5w7d67X987+fXePiIgeHvzOFRERDUu+vr4wmUzS44aGhl6FKmpqavD+++/jq6++glqtxpo1a/rdz5YtW1BUVCR9H6qmpgZBQUFIT0/HlClTEBoaij/++KNfxwwODoazszPOnj0rrWttbcVvv/0mPY6JiUFXVxeam5sREhIiWzQaTb/Pg4iI7I93roiIaFh65pln8PHHH0Or1aKrqwubN2+W3S0ym81YunQp1q5di8TERDz22GOYOnUqFi5ciBdffNHqfsaPH4/k5GS89957KC0tRWhoKIxGIwoLCzF16lSUlZWhuLi4X7G7ublh2bJl2LRpE7y9veHn54eMjAyMGjUKCoUCABAWFoaUlBSkpqYiLy8PMTEx+PPPP1FRUYHJkydj/vz5/eqTiIjsj3euiIhoWMrLy8P48ePx9NNP47XXXkNaWpqsCuC6deugUqmkwg+TJk1CTk4OVq5ciaampn71tX79epSVleHMmTN4/vnnsX79eqxZswbR0dGoqanB9u3b+x3/Bx98AK1WiwULFmDOnDmYMWMGIiIiMGbMGKmNTqdDamoqNm7ciPDwcCxatAhnz55FYGBgv/sjIiL7U4h7P7BOREREg+7OnTsICAhAXl4eli9fPtThEBHRAPBjgURERENAr9fj8uXLiIuLQ2trK3bs2AEASEpKGuLIiIhooDi5IiIiGiI7d+5EfX09lEolYmNjUV1dDR8fn6EOi4iIBogfCyQiIiIiIrIBFrQgIiIiIiKyAU6uiIiIiIiIbICTKyIiIiIiIhvg5IqIiIiIiMgGOLkiIiIiIiKyAU6uiIiIiIiIbICTKyIiIiIiIhvg5IqIiIiIiMgG/gPDjqXxn1zsQAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", + "outlier_fraction_cata_values = [bliss_out_dict[f'redshifts/outlier_fraction_cata_bin_{i}'] for i in range(5)]\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(flux_ranges, outlier_fraction_cata_values)\n", + "plt.xlabel('Flux Range')\n", + "plt.ylabel('Outlier Fraction Catastrophic')\n", + "plt.title('Outlier Fraction Catastrophic per Flux Range')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. redshift estimate based on GT mag" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "from case_studies.redshift.network_rs import PhotoZFromMag\n", + "import os\n", + "import pandas as pd\n", + "import numpy as np\n", + "import torch\n", + "from torch.utils.data import TensorDataset, DataLoader\n", + "from tqdm import tqdm\n", + "import re\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.metrics import mean_squared_error\n", + "import torch.nn as nn" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "num_bins = 1\n", + "group_size = 128\n", + "batch_size = 1\n", + "in_dim = 6\n", + "device = \"cuda\"\n", + "path = \"/home/qiaozhih/bliss/case_studies/redshift/training_runs/00120-run/tensorboard_logs/version_0/checkpoints/reg_val_loss=0.000367_epoch=29.ckpt\"\n", + "network_options = {\n", + " \"hidden_dim\": 256,\n", + " \"out_dim\": num_bins,\n", + " \"n_epochs\": 50001,\n", + " \"outdir\": \"/home/qiaozhih/bliss/case_studies/redshift/training_runs/\",\n", + " \"snap\": 1, # how many epoches to save one model once\n", + " \"loss_fcn\": torch.nn.MSELoss(), # loss func\n", + " # 'loss_fcn': torch.nn.CrossEntropyLoss(), # loss func\n", + " \"dropout_rate\": 0.5,\n", + " \"learning_rate\": 1e-3,\n", + " \"group_size\": group_size,\n", + " \"num_gpu\": 1,\n", + " \"gpu_device\": [0],\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PhotoZFromMag(\n", + " (loss_fcn): MSELoss()\n", + " (net): Sequential(\n", + " (0): Linear(in_features=6, out_features=256, bias=True)\n", + " (1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (2): ReLU()\n", + " (3): Linear(in_features=256, out_features=256, bias=True)\n", + " (4): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (5): ReLU()\n", + " (6): Linear(in_features=256, out_features=256, bias=True)\n", + " (7): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (8): ReLU()\n", + " (9): Linear(in_features=256, out_features=256, bias=True)\n", + " (10): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (11): ReLU()\n", + " (12): Linear(in_features=256, out_features=1, bias=True)\n", + " )\n", + ")" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "reg = PhotoZFromMag(\n", + " in_dim,\n", + " network_options[\"hidden_dim\"],\n", + " network_options[\"out_dim\"],\n", + " network_options[\"dropout_rate\"],\n", + " network_options[\"learning_rate\"],\n", + " network_options[\"loss_fcn\"],\n", + ")\n", + "reg = reg.load_from_checkpoint(\n", + " path,\n", + " in_dim=in_dim,\n", + " hidden_dim=network_options[\"hidden_dim\"],\n", + " out_dim=network_options[\"out_dim\"],\n", + " dropout_rate=network_options[\"dropout_rate\"],\n", + " learning_rate=network_options[\"learning_rate\"],\n", + " loss_fcn=network_options[\"loss_fcn\"],\n", + ")\n", + "reg.to(device)\n", + "reg.eval()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "def est_redshifts_with_reg_change_to_cat(true_cat: TileCatalog, reg: PhotoZFromMag, tile_slen: int) -> BaseTileCatalog:\n", + " \"\"\"estimate redshift by inputting true mag using regressor, then convert them to Basetilecatalog\n", + "\n", + " Args:\n", + " true_cat: true_catalog\n", + " reg: regressor that accept ugrizy mag\n", + "\n", + " Returns:\n", + " Catalog that containing pred redshifts\n", + " \"\"\"\n", + " true_mag = true_cat.magnitudes.to(device)\n", + " new_order = [3, 0, 2, 1, 5, 4] # change giruyz to ugrizy\n", + " true_mag = true_mag[..., new_order]\n", + " true_is_galaxy = true_cat.galaxy_bools.to(device)\n", + " N, H, W, M, _ = true_mag.shape\n", + " true_mag = true_mag.reshape(-1, 6)\n", + " true_is_galaxy = true_is_galaxy.reshape(-1, 1)\n", + " pred_rs = torch.zeros_like(true_mag[..., 0])\n", + " for i in range(len(true_mag)):\n", + " if true_is_galaxy[i][0]: \n", + " x = true_mag[i].unsqueeze(0) # 1, 6\n", + " a = reg.net(x) # 1, 1\n", + " pred_rs[i] = reg.net(true_mag[i].unsqueeze(0)).squeeze(0)\n", + " pred_rs = {\"redshifts\": pred_rs.reshape((N, H, W, M, 1))}\n", + "\n", + " return BaseTileCatalog(tile_slen=tile_slen, d=pred_rs)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "GT data preparation" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 383/383 [06:24<00:00, 1.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67468., 36486., 12573., 6674., 3875., 18732.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "gt_output_path = output_dir / \"gt_output_all.pkl\"\n", + "if not gt_output_path.exists():\n", + " metrics = instantiate(notebook_cfg.encoder.metrics)\n", + " matcher = instantiate(notebook_cfg.encoder.matcher)\n", + " metrics.reset()\n", + " for batch_idx, batch in tqdm(enumerate(dataset.test_dataloader()), total=len(dataset.test_dataloader())):\n", + " true_cat = TileCatalog(tile_slen=4, d=batch[\"tile_catalog\"]) # TODO tile_slen\n", + " est_cat = est_redshifts_with_reg_change_to_cat(true_cat, reg, tile_slen=4)# TODO\n", + " matching = matcher.match_catalogs(true_cat, est_cat)\n", + " metrics.update(true_cat, est_cat, matching)\n", + "\n", + " gt_out_dict = metrics.compute()\n", + "\n", + " with open(gt_output_path, \"wb\") as outp: # Overwrites any existing file.\n", + " pickle.dump(gt_out_dict, outp, pickle.HIGHEST_PROTOCOL)\n", + "else:\n", + " with open(gt_output_path, \"rb\") as inputp:\n", + " gt_out_dict = pickle.load(inputp)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'redshifts/bias_bin_0': -0.01940205879509449,\n", + " 'redshifts/bias_bin_1': -0.014454119838774204,\n", + " 'redshifts/bias_bin_2': -0.012397130951285362,\n", + " 'redshifts/bias_bin_3': -0.0178708266466856,\n", + " 'redshifts/bias_bin_4': -0.016601406037807465,\n", + " 'redshifts/bias_bin_5': -0.02073412574827671,\n", + " 'redshifts/mse_bin_0': 0.27121469378471375,\n", + " 'redshifts/mse_bin_1': 0.13976307213306427,\n", + " 'redshifts/mse_bin_2': 0.07524657994508743,\n", + " 'redshifts/mse_bin_3': 0.057453203946352005,\n", + " 'redshifts/mse_bin_4': 0.05058649182319641,\n", + " 'redshifts/mse_bin_5': 0.03236730396747589,\n", + " 'redshifts/nmad_bin_0': 0.18206419050693512,\n", + " 'redshifts/nmad_bin_1': 0.11283144354820251,\n", + " 'redshifts/nmad_bin_2': 0.07652566581964493,\n", + " 'redshifts/nmad_bin_3': 0.06236919015645981,\n", + " 'redshifts/nmad_bin_4': 0.0593399852514267,\n", + " 'redshifts/nmad_bin_5': 0.042008381336927414,\n", + " 'redshifts/outlier_fraction_bin_0': 0.4209282398223877,\n", + " 'redshifts/outlier_fraction_bin_1': 0.26364895701408386,\n", + " 'redshifts/outlier_fraction_bin_2': 0.15841779112815857,\n", + " 'redshifts/outlier_fraction_bin_3': 0.10374907404184341,\n", + " 'redshifts/outlier_fraction_bin_4': 0.08685897290706635,\n", + " 'redshifts/outlier_fraction_bin_5': 0.04629996046423912,\n", + " 'redshifts/outlier_fraction_cata_bin_0': 0.07691884785890579,\n", + " 'redshifts/outlier_fraction_cata_bin_1': 0.029275547713041306,\n", + " 'redshifts/outlier_fraction_cata_bin_2': 0.014562629163265228,\n", + " 'redshifts/outlier_fraction_cata_bin_3': 0.011692650616168976,\n", + " 'redshifts/outlier_fraction_cata_bin_4': 0.009615384973585606,\n", + " 'redshifts/outlier_fraction_cata_bin_5': 0.006529481615871191}" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bliss_out_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "metrics = ['mse', 'nmad', 'outlier_fraction_cata', 'outlier_fraction', 'bias']\n", + "fig, ax = plt.subplots(len(metrics), figsize=(10, 30))\n", + "for i, metric in enumerate(metrics):\n", + " flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", + " gt_mse_values = [gt_out_dict[f'redshifts/{metric}_bin_{i}'] for i in range(5)]\n", + " bliss_mse_values = [bliss_out_dict[f'redshifts/{metric}_bin_{i}'] for i in range(5)]\n", + "\n", + " ax[i].plot(flux_ranges, bliss_mse_values, label=\"bliss\")\n", + " ax[i].plot(flux_ranges, gt_mse_values, label=\"gt_reg\")\n", + " if metric != 'bias':\n", + " ax[i].set_yscale(\"log\")\n", + " ax[i].set_xlabel('Flux Range')\n", + " ax[i].set_ylabel(metric)\n", + " ax[i].set_title(f'{metric} per Flux Range')\n", + " ax[i].legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'redshifts/bias_bin_0': 0.0008017609361559153,\n", + " 'redshifts/bias_bin_1': 0.0007119826623238623,\n", + " 'redshifts/bias_bin_2': 0.0007159098167903721,\n", + " 'redshifts/bias_bin_3': 0.0007279749261215329,\n", + " 'redshifts/bias_bin_4': 0.000599693797994405,\n", + " 'redshifts/bias_bin_5': 0.001286372309550643,\n", + " 'redshifts/mse_bin_0': 0.00013550283620133996,\n", + " 'redshifts/mse_bin_1': 0.00012056977720931172,\n", + " 'redshifts/mse_bin_2': 0.00011736601300071925,\n", + " 'redshifts/mse_bin_3': 0.00010382600157754496,\n", + " 'redshifts/mse_bin_4': 0.0001087068667402491,\n", + " 'redshifts/mse_bin_5': 0.00012679805513471365,\n", + " 'redshifts/nmad_bin_0': 0.0038930890150368214,\n", + " 'redshifts/nmad_bin_1': 0.004017178900539875,\n", + " 'redshifts/nmad_bin_2': 0.004218028858304024,\n", + " 'redshifts/nmad_bin_3': 0.0043058982118964195,\n", + " 'redshifts/nmad_bin_4': 0.004712411668151617,\n", + " 'redshifts/nmad_bin_5': 0.005075711291283369,\n", + " 'redshifts/outlier_fraction_bin_0': 0.0,\n", + " 'redshifts/outlier_fraction_bin_1': 0.0,\n", + " 'redshifts/outlier_fraction_bin_2': 0.0,\n", + " 'redshifts/outlier_fraction_bin_3': 0.0,\n", + " 'redshifts/outlier_fraction_bin_4': 0.0,\n", + " 'redshifts/outlier_fraction_bin_5': 0.0,\n", + " 'redshifts/outlier_fraction_cata_bin_0': 0.0,\n", + " 'redshifts/outlier_fraction_cata_bin_1': 0.0,\n", + " 'redshifts/outlier_fraction_cata_bin_2': 0.0,\n", + " 'redshifts/outlier_fraction_cata_bin_3': 0.0,\n", + " 'redshifts/outlier_fraction_cata_bin_4': 0.0,\n", + " 'redshifts/outlier_fraction_cata_bin_5': 0.0}" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gt_out_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3. redshift estimate based on LSST predicted flux" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# load lsst data\n", + "lsst_full_cat = get_lsst_full_cat(lsst_root_dir=lsst_root_dir,\n", + " cur_image_wcs=cur_image_wcs,\n", + " image_lim=image_lim,\n", + " r_band_min_flux=r_band_min_flux,\n", + " device=device)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/case_studies/redshift/evaluation/notebook_plot.yaml b/case_studies/redshift/evaluation/notebook_plot.yaml new file mode 100644 index 000000000..eaca9c990 --- /dev/null +++ b/case_studies/redshift/evaluation/notebook_plot.yaml @@ -0,0 +1,61 @@ +--- +defaults: + - ../redshift_from_img@_here_: full_train_config_redshift + - _self_ + +encoder: + _target_: case_studies.redshift.redshift_from_img.encoder.encoder.RedshiftsEncoder + # _target_: bliss.encoder.encoder.Encoder + survey_bands: ["g", "i", "r", "u", "y", "z"] + tile_slen: 4 + tiles_to_crop: 1 + min_flux_for_loss: ${global_setting.min_flux_for_loss} + min_flux_for_metrics: 100 + optimizer_params: + lr: 1e-3 + scheduler_params: + milestones: [32] + gamma: 0.1 + image_normalizer: + _target_: bliss.encoder.image_normalizer.ImageNormalizer + bands: [0, 1, 2, 3, 4, 5] + include_original: false + include_background: false + concat_psf_params: false + num_psf_params: 4 # for SDSS, 4 for DC2 + log_transform_stdevs: [] + use_clahe: true + clahe_min_stdev: 200 + matcher: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftsCatalogMatcher + match_gating: is_galaxy + metrics: + _target_: torchmetrics.MetricCollection + _convert_: "partial" + metrics: ${my_metrics_test} + var_dist: + _target_: case_studies.redshift.redshift_from_img.encoder.variational_dist.RedshiftVariationalDist + tile_slen: ${encoder.tile_slen} + factors: ${variational_factors} + use_checkerboard: false + +my_metrics_test: + redshift_mearn_square_error_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBin + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + redshift_outlier_fraction_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionBin + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + redshift_nmad_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDevBin + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + redshift_outlier_fraction_catastrophic_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCataBin + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + redshift_bias_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBiasBin + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + +surveys: + dc2: + batch_size: 64 diff --git a/case_studies/redshift/evaluation/utils/convnet.py b/case_studies/redshift/evaluation/utils/convnet.py new file mode 100644 index 000000000..ee9759d43 --- /dev/null +++ b/case_studies/redshift/evaluation/utils/convnet.py @@ -0,0 +1,101 @@ +# adapted from the convnet.py in commit 53936977c3a87f8ba937d75bec0fd951eb5c23d9 + +import torch +from torch import nn + +# The code in this file is based on the following repository: +# https://github.com/ultralytics/yolov5/ + + +class ConvBlock(nn.Module): + def __init__( + self, in_channels, out_channels, kernel_size=3, stride=1, padding=1, use_group_norm=False + ): + super().__init__() + self.conv = nn.Conv2d(in_channels, out_channels, kernel_size, stride, padding, bias=False) + self.norm = ( + nn.BatchNorm2d(out_channels, eps=0.001, momentum=0.03) + if not use_group_norm + else nn.GroupNorm(out_channels // 16, out_channels) + ) + self.activation = nn.SiLU(inplace=True) + + def forward(self, x): + return self.activation(self.norm(self.conv(x))) + + +class Bottleneck(nn.Module): + def __init__(self, c1, c2, shortcut=True, e=0.5, use_group_norm=False): + super().__init__() + ch = int(c2 * e) + self.cv1 = ConvBlock(c1, ch, kernel_size=1, padding=0, use_group_norm=use_group_norm) + self.cv2 = ConvBlock( + ch, c2, kernel_size=3, padding=1, stride=1, use_group_norm=use_group_norm + ) + self.add = shortcut and c1 == c2 + + def forward(self, x): + out = self.cv2(self.cv1(x)) + return x + out if self.add else out + + +class C3(nn.Module): + def __init__(self, c1, c2, n=1, shortcut=True, e=0.5, use_group_norm=False): + super().__init__() + ch = int(c2 * e) + self.cv1 = ConvBlock(c1, ch, kernel_size=1, padding=0, use_group_norm=use_group_norm) + self.cv2 = ConvBlock(c1, ch, kernel_size=1, padding=0, use_group_norm=use_group_norm) + self.cv3 = ConvBlock(2 * ch, c2, kernel_size=1, padding=0, use_group_norm=use_group_norm) + self.m = nn.Sequential( + *(Bottleneck(ch, ch, shortcut, e=1.0, use_group_norm=use_group_norm) for _ in range(n)), + ) + + def forward(self, x): + return self.cv3(torch.cat((self.m(self.cv1(x)), self.cv2(x)), 1)) + + +class FeaturesNet(nn.Module): + def __init__(self, n_bands, ch_per_band, num_features, double_downsample=True): + super().__init__() + + nch_hidden = 64 + nch_hidden_for_asinh_params = 32 + self.preprocess3d = nn.Sequential( + nn.Conv3d(n_bands, nch_hidden, [ch_per_band, 5, 5], padding=[0, 2, 2]), + nn.BatchNorm3d(nch_hidden), + nn.SiLU(), + ) + self.backbone = nn.Sequential( + ConvBlock(nch_hidden + nch_hidden_for_asinh_params, 64, kernel_size=5, padding=2), + nn.Sequential(*[ConvBlock(64, 64, kernel_size=5, padding=2) for _ in range(4)]), + ConvBlock(64, 128, stride=2), + nn.Sequential(*[ConvBlock(128, 128) for _ in range(5)]), + ConvBlock(128, num_features, stride=(2 if double_downsample else 1)), # 4 + ) + + self.asinh_preprocess = nn.Sequential( + nn.ZeroPad2d(padding=(0, 1, 1, 1)), + C3(1, nch_hidden_for_asinh_params, n=4, use_group_norm=True), + nn.Upsample(scale_factor=2, mode="nearest"), + ConvBlock( + nch_hidden_for_asinh_params, nch_hidden_for_asinh_params, use_group_norm=True + ), + nn.Upsample(scale_factor=5, mode="nearest"), + ConvBlock( + nch_hidden_for_asinh_params, + nch_hidden_for_asinh_params, + kernel_size=7, + padding=3, + use_group_norm=True, + ), + ) + + def forward(self, x): + preprocessed_x = self.preprocess3d(x[0]).squeeze(2) + asinh_params = x[1] + preprocessed_asinh_params = self.asinh_preprocess(asinh_params.unsqueeze(0)) + expanded_asinh_params = preprocessed_asinh_params.expand( + preprocessed_x.shape[0], -1, -1, -1 + ).clone() + + return self.backbone(torch.cat((preprocessed_x, expanded_asinh_params), dim=1)) diff --git a/case_studies/redshift/evaluation/utils/encoder.py b/case_studies/redshift/evaluation/utils/encoder.py new file mode 100644 index 000000000..cdfe64711 --- /dev/null +++ b/case_studies/redshift/evaluation/utils/encoder.py @@ -0,0 +1,25 @@ +from bliss.encoder.convnet import CatalogNet, ContextNet +from bliss.encoder.encoder import Encoder +from case_studies.dc2_cataloging.utils.convnet import FeaturesNet +from case_studies.dc2_cataloging.utils.image_normalizer import DynamicAsinhImageNormalizer + + +class EncoderForDynamicAsinh(Encoder): + def initialize_networks(self): + assert isinstance( + self.image_normalizer, DynamicAsinhImageNormalizer + ), "wrong image normalizer" + assert self.tile_slen in {2, 4}, "tile_slen must be 2 or 4" + ch_per_band = self.image_normalizer.num_channels_per_band() + num_features = 256 + self.features_net = FeaturesNet( + len(self.image_normalizer.bands), + ch_per_band, + num_features, + double_downsample=(self.tile_slen == 4), + ) + n_params_per_source = self.var_dist.n_params_per_source + self.marginal_net = CatalogNet(num_features, n_params_per_source) + self.checkerboard_net = ContextNet(num_features, n_params_per_source) + if self.double_detect: + self.second_net = CatalogNet(num_features, n_params_per_source) diff --git a/case_studies/redshift/evaluation/utils/image_normalizer.py b/case_studies/redshift/evaluation/utils/image_normalizer.py new file mode 100644 index 000000000..54ec4d5eb --- /dev/null +++ b/case_studies/redshift/evaluation/utils/image_normalizer.py @@ -0,0 +1,279 @@ +from typing import Dict + +import torch + +from bliss.encoder.image_normalizer import ImageNormalizer + + +class DynamicAsinhImageNormalizer(ImageNormalizer): + def __init__( + self, + bands: list, + include_original: bool, + include_background: bool, + concat_psf_params: bool, + num_psf_params: int, + log_transform_stdevs: list, + use_clahe: bool, + clahe_min_stdev: float, + asinh_params: Dict[str, float], + ): + super().__init__( + bands, + include_original, + include_background, + concat_psf_params, + num_psf_params, + log_transform_stdevs, + use_clahe, + clahe_min_stdev, + ) + self.asinh_params = asinh_params + + assert self.asinh_params, "asinh_params can't be None" + assert ( + not self.include_background + ), "if you want to use asinh, please don't include background" + + thresholds_num = len(self.asinh_params["thresholds"]) + thresholds = torch.tensor(self.asinh_params["thresholds"]).view(1, -1) + thresholds = thresholds.expand(len(self.bands), thresholds_num) + thresholds = thresholds.view(1, len(self.bands), thresholds_num, 1, 1).clone() + + self.asinh_thresholds_tensor = torch.nn.Parameter(thresholds, requires_grad=True) + + def num_channels_per_band(self): + pre_nch = super().num_channels_per_band() + return pre_nch + len(self.asinh_params["thresholds"]) + + def get_input_tensor(self, batch): + pre_input_tensor = super().get_input_tensor(batch) + raw_images = batch["images"][:, self.bands].unsqueeze(2) + + asinh_thresholds_tensor = self.asinh_thresholds_tensor.detach() + filtered_images = raw_images - asinh_thresholds_tensor + processed_images = filtered_images * self.asinh_params["scale"] + processed_images = torch.asinh(processed_images) + + if pre_input_tensor is not None: + input_tensor = torch.cat((pre_input_tensor, processed_images), dim=2) + else: + input_tensor = processed_images + + return input_tensor, self.asinh_thresholds_tensor.squeeze().unsqueeze(0) + + +class MovingAvgAsinhImageNormalizer(ImageNormalizer): + def __init__( + self, + bands: list, + include_original: bool, + include_background: bool, + concat_psf_params: bool, + num_psf_params: int, + log_transform_stdevs: list, + use_clahe: bool, + clahe_min_stdev: float, + asinh_params: Dict[str, float], + ): + super().__init__( + bands, + include_original, + include_background, + concat_psf_params, + num_psf_params, + log_transform_stdevs, + use_clahe, + clahe_min_stdev, + ) + self.asinh_params = asinh_params + + assert self.asinh_params, "asinh_params can't be None" + assert ( + not self.include_background + ), "if you want to use asinh, please don't include background" + + thresholds_num = len(self.asinh_params["thresholds"]) + thresholds = torch.tensor(self.asinh_params["thresholds"]).view(1, 1, thresholds_num, 1, 1) + self.asinh_thresholds_tensor = thresholds + + self.asinh_buffer_size = 1000 + self.asinh_buffer_ptr = 0 + self.asinh_quantiles_tensor = torch.tensor([0.01, 0.1, 0.25, 0.5, 0.75, 0.9, 0.99]) + buffer_shape = (self.asinh_buffer_size, *self.asinh_thresholds_tensor.squeeze().shape) + self.asinh_thresholds_buffer = torch.full(buffer_shape, torch.nan) + + def num_channels_per_band(self): + pre_nch = super().num_channels_per_band() + return pre_nch + len(self.asinh_params["thresholds"]) + + def get_input_tensor(self, batch): + pre_input_tensor = super().get_input_tensor(batch) + raw_images = batch["images"][:, self.bands].unsqueeze(2) + + self.asinh_thresholds_tensor = self.asinh_thresholds_tensor.to(device=raw_images.device) + self.asinh_quantiles_tensor = self.asinh_quantiles_tensor.to(device=raw_images.device) + self.asinh_thresholds_buffer = self.asinh_thresholds_buffer.to(device=raw_images.device) + + if self.training: + self.asinh_buffer_ptr %= self.asinh_buffer_size + self.asinh_thresholds_buffer[self.asinh_buffer_ptr] = torch.quantile( + raw_images, q=self.asinh_quantiles_tensor + ) + buffer_median, _ = torch.nanmedian(self.asinh_thresholds_buffer, dim=0) + self.asinh_thresholds_tensor = buffer_median.view( + *self.asinh_thresholds_tensor.shape, + ) + self.asinh_buffer_ptr += 1 + + filtered_images = raw_images - self.asinh_thresholds_tensor + processed_images = filtered_images * self.asinh_params["scale"] + processed_images = torch.asinh(processed_images) + + if pre_input_tensor is not None: + input_tensor = torch.cat((pre_input_tensor, processed_images), dim=2) + else: + input_tensor = processed_images + + return input_tensor + + +class PerbandMovingAvgAsinhImageNormalizer(ImageNormalizer): + def __init__( + self, + bands: list, + include_original: bool, + include_background: bool, + concat_psf_params: bool, + num_psf_params: int, + log_transform_stdevs: list, + use_clahe: bool, + clahe_min_stdev: float, + asinh_params: Dict[str, float], + ): + super().__init__( + bands, + include_original, + include_background, + concat_psf_params, + num_psf_params, + log_transform_stdevs, + use_clahe, + clahe_min_stdev, + ) + self.asinh_params = asinh_params + + assert self.asinh_params, "asinh_params can't be None" + assert ( + not self.include_background + ), "if you want to use asinh, please don't include background" + + thresholds_num = len(self.asinh_params["thresholds"]) + thresholds = torch.tensor(self.asinh_params["thresholds"]).view(1, -1) + thresholds = thresholds.expand(len(self.bands), thresholds_num) + thresholds = thresholds.view(1, len(self.bands), thresholds_num, 1, 1).clone() + self.asinh_thresholds_tensor = thresholds + + self.asinh_buffer_size = 1000 + self.asinh_buffer_ptr = 0 + self.asinh_quantiles_tensor = torch.tensor([0.01, 0.1, 0.25, 0.5, 0.75, 0.9, 0.99]) + buffer_shape = (self.asinh_buffer_size, *self.asinh_thresholds_tensor.squeeze().shape) + self.asinh_thresholds_buffer = torch.full(buffer_shape, torch.nan) + + def num_channels_per_band(self): + pre_nch = super().num_channels_per_band() + return pre_nch + len(self.asinh_params["thresholds"]) + + def get_input_tensor(self, batch): + pre_input_tensor = super().get_input_tensor(batch) + raw_images = batch["images"][:, self.bands].unsqueeze(2) + + self.asinh_thresholds_tensor = self.asinh_thresholds_tensor.to(device=raw_images.device) + self.asinh_quantiles_tensor = self.asinh_quantiles_tensor.to(device=raw_images.device) + self.asinh_thresholds_buffer = self.asinh_thresholds_buffer.to(device=raw_images.device) + + if self.training: + self.asinh_buffer_ptr %= self.asinh_buffer_size + reshaped_raw_images = ( + raw_images.permute((1, 0, 2, 3, 4)).contiguous().view(raw_images.shape[1], -1) + ) + raw_images_quantiles = torch.quantile( + reshaped_raw_images, + q=self.asinh_quantiles_tensor, + dim=1, + ) + self.asinh_thresholds_buffer[self.asinh_buffer_ptr] = raw_images_quantiles.permute( + (1, 0) + ).contiguous() + buffer_median, _ = torch.nanmedian(self.asinh_thresholds_buffer, dim=0) + self.asinh_thresholds_tensor = buffer_median.view( + *self.asinh_thresholds_tensor.shape, + ) + self.asinh_buffer_ptr += 1 + + filtered_images = raw_images - self.asinh_thresholds_tensor + processed_images = filtered_images * self.asinh_params["scale"] + processed_images = torch.asinh(processed_images) + + if pre_input_tensor is not None: + input_tensor = torch.cat((pre_input_tensor, processed_images), dim=2) + else: + input_tensor = processed_images + + return input_tensor + + +class FixedThresholdsAsinhImageNormalizer(ImageNormalizer): + def __init__( + self, + bands: list, + include_original: bool, + include_background: bool, + concat_psf_params: bool, + num_psf_params: int, + log_transform_stdevs: list, + use_clahe: bool, + clahe_min_stdev: float, + asinh_params: Dict[str, float], + ): + super().__init__( + bands, + include_original, + include_background, + concat_psf_params, + num_psf_params, + log_transform_stdevs, + use_clahe, + clahe_min_stdev, + ) + self.asinh_params = asinh_params + + assert self.asinh_params, "asinh_params can't be None" + assert ( + not self.include_background + ), "if you want to use asinh, please don't include background" + + self.asinh_thresholds_tensor = torch.tensor(self.asinh_params["thresholds"]).view( + 1, 1, -1, 1, 1 + ) + + def num_channels_per_band(self): + pre_nch = super().num_channels_per_band() + return pre_nch + len(self.asinh_params["thresholds"]) + + def get_input_tensor(self, batch): + pre_input_tensor = super().get_input_tensor(batch) + raw_images = batch["images"][:, self.bands].unsqueeze(2) + + self.asinh_thresholds_tensor = self.asinh_thresholds_tensor.to(device=raw_images.device) + + filtered_images = raw_images - self.asinh_thresholds_tensor + processed_images = filtered_images * self.asinh_params["scale"] + processed_images = torch.asinh(processed_images) + + if pre_input_tensor is not None: + input_tensor = torch.cat((pre_input_tensor, processed_images), dim=2) + else: + input_tensor = processed_images + + return input_tensor diff --git a/case_studies/redshift/evaluation/utils/load_lsst.py b/case_studies/redshift/evaluation/utils/load_lsst.py new file mode 100644 index 000000000..242f5ddc5 --- /dev/null +++ b/case_studies/redshift/evaluation/utils/load_lsst.py @@ -0,0 +1,104 @@ +import GCRCatalogs +import pandas as pd +import torch + +from bliss.catalog import FullCatalog, SourceType + + +def get_lsst_catalog_tensors_dict(lsst_root_dir: str): + GCRCatalogs.set_root_dir(lsst_root_dir) + lsst_catalog_gcr = GCRCatalogs.load_catalog("desc_dc2_run2.2i_dr6_object_with_truth_match") + lsst_catalog_sub = lsst_catalog_gcr.get_quantities( + [ + "id_truth", + "objectId", + "ra", + "dec", + "truth_type", + "cModelFlux_u", + "cModelFluxErr_u", + "cModelFlux_g", + "cModelFluxErr_g", + "cModelFlux_r", + "cModelFluxErr_r", + "cModelFlux_i", + "cModelFluxErr_i", + "cModelFlux_z", + "cModelFluxErr_z", + "cModelFlux_y", + "cModelFluxErr_y", + ] + ) + lsst_catalog_df = pd.DataFrame(lsst_catalog_sub) + lsst_flux_lst = [ + lsst_catalog_df["cModelFlux_g"], + lsst_catalog_df["cModelFlux_i"], + lsst_catalog_df["cModelFlux_r"], + lsst_catalog_df["cModelFlux_u"], + lsst_catalog_df["cModelFlux_y"], + lsst_catalog_df["cModelFlux_z"], + ] + lsst_flux_tensors_lst = [torch.tensor(flux.values).view(-1, 1) for flux in lsst_flux_lst] + return { + "truth_type": torch.tensor(lsst_catalog_df["truth_type"].values).view(-1, 1), + "flux": torch.cat(lsst_flux_tensors_lst, dim=1), + "ra": torch.tensor(lsst_catalog_df["ra"].values), + "dec": torch.tensor(lsst_catalog_df["dec"].values), + } + + +def get_lsst_params( + lsst_catalog_tensors_dict, + cur_image_wcs, + image_lim, +): + lsst_ra = lsst_catalog_tensors_dict["ra"] + lsst_dec = lsst_catalog_tensors_dict["dec"] + lsst_pt, lsst_pr = cur_image_wcs.all_world2pix(lsst_ra, lsst_dec, 0) + lsst_pt = torch.from_numpy(lsst_pt) + lsst_pr = torch.from_numpy(lsst_pr) + + lsst_plocs = torch.stack((lsst_pr, lsst_pt), dim=-1) + lsst_source_type = lsst_catalog_tensors_dict["truth_type"] + lsst_flux = lsst_catalog_tensors_dict["flux"] + + x0_mask = (lsst_plocs[:, 0] > 0) & (lsst_plocs[:, 0] < image_lim) + x1_mask = (lsst_plocs[:, 1] > 0) & (lsst_plocs[:, 1] < image_lim) + lsst_x_mask = x0_mask * x1_mask + # filter r band + lsst_flux_mask = lsst_flux[:, 2] > 0 + # filter supernova + lsst_source_mask = (lsst_source_type != 3).squeeze(1) + lsst_mask = lsst_x_mask * lsst_flux_mask * lsst_source_mask + + lsst_plocs = lsst_plocs[lsst_mask, :] + lsst_source_type = torch.where( + lsst_source_type[lsst_mask] == 2, SourceType.STAR, SourceType.GALAXY + ) + lsst_flux = lsst_flux[lsst_mask, :] + + return lsst_plocs, lsst_source_type, lsst_flux + + +def get_lsst_full_cat(lsst_root_dir: str, cur_image_wcs, image_lim, r_band_min_flux, device): + lsst_catalog_tensors_dict = get_lsst_catalog_tensors_dict(lsst_root_dir) + lsst_plocs, lsst_source_type, lsst_flux = get_lsst_params( + lsst_catalog_tensors_dict, cur_image_wcs, image_lim + ) + flux_mask = lsst_flux[:, 2] > r_band_min_flux + lsst_plocs = lsst_plocs[flux_mask, :] + lsst_source_type = lsst_source_type[flux_mask] + lsst_flux = lsst_flux[flux_mask, :] + lsst_n_sources = torch.tensor([lsst_plocs.shape[0]]) + + return FullCatalog( + height=image_lim, + width=image_lim, + d={ + "plocs": lsst_plocs.unsqueeze(0).to(device=device), + "n_sources": lsst_n_sources.to(device=device), + "source_type": lsst_source_type.unsqueeze(0).to(device=device), + "galaxy_fluxes": lsst_flux.unsqueeze(0).to(device=device), + "star_fluxes": lsst_flux.unsqueeze(0).clone().to(device=device), + }, + ) diff --git a/case_studies/redshift/evaluation/utils/metrics.py b/case_studies/redshift/evaluation/utils/metrics.py new file mode 100644 index 000000000..22bf4921c --- /dev/null +++ b/case_studies/redshift/evaluation/utils/metrics.py @@ -0,0 +1,73 @@ +import torch + +from bliss.encoder.metrics import CatFilter + + +def _plocs_are_out_boundary(plocs: torch.Tensor, tile_slen: int, boundary_width: float): + plocs_in_tile = plocs % tile_slen + return torch.all( + (plocs_in_tile >= boundary_width) & (plocs_in_tile <= (tile_slen - boundary_width)), dim=-1 + ) + + +def _is_in_boundary( + plocs: torch.Tensor, is_on_mask: torch.Tensor, tile_slen: int, boundary_width: float +): + plocs_out_boundary = _plocs_are_out_boundary( + plocs, tile_slen=tile_slen, boundary_width=boundary_width + ) + plocs_in_boundary = ~plocs_out_boundary + plocs_in_boundary &= is_on_mask + + return plocs_in_boundary + + +def _is_not_in_boundary( + plocs: torch.Tensor, is_on_mask: torch.Tensor, tile_slen: int, boundary_width: float +): + plocs_out_boundary = _plocs_are_out_boundary( + plocs, tile_slen=tile_slen, boundary_width=boundary_width + ) + plocs_out_boundary &= is_on_mask + + return plocs_out_boundary + + +class InBoundaryFilter(CatFilter): + def __init__(self, tile_slen: int, boundary_width: float) -> None: + super().__init__() + self.tile_slen = tile_slen + self.boundary_width = boundary_width + + def get_cur_filter_bools(self, true_cat, est_cat): + true_filter_bools = _is_in_boundary( + true_cat["plocs"], true_cat.is_on_mask, self.tile_slen, self.boundary_width + ) + est_filter_bools = _is_in_boundary( + est_cat["plocs"], est_cat.is_on_mask, self.tile_slen, self.boundary_width + ) + + return true_filter_bools, est_filter_bools + + def get_cur_postfix(self): + return "in_boundary" + + +class OutBoundaryFilter(CatFilter): + def __init__(self, tile_slen: int, boundary_width: float) -> None: + super().__init__() + self.tile_slen = tile_slen + self.boundary_width = boundary_width + + def get_cur_filter_bools(self, true_cat, est_cat): + true_filter_bools = _is_not_in_boundary( + true_cat["plocs"], true_cat.is_on_mask, self.tile_slen, self.boundary_width + ) + est_filter_bools = _is_not_in_boundary( + est_cat["plocs"], est_cat.is_on_mask, self.tile_slen, self.boundary_width + ) + + return true_filter_bools, est_filter_bools + + def get_cur_postfix(self): + return "out_boundary" diff --git a/case_studies/redshift/evaluation/utils/safe_metric_collection.py b/case_studies/redshift/evaluation/utils/safe_metric_collection.py new file mode 100644 index 000000000..902663e9b --- /dev/null +++ b/case_studies/redshift/evaluation/utils/safe_metric_collection.py @@ -0,0 +1,22 @@ +from typing import Dict, List, Sequence + +from torchmetrics import Metric, MetricCollection + + +class SafeMetricCollection(MetricCollection): + def __init__( + self, + metrics: Metric | Sequence[Metric] | Dict[str, Metric], + *additional_metrics: Metric, + prefix: str | None = None, + postfix: str | None = None, + compute_groups: bool | List[List[str]] = False, + ) -> None: + assert not compute_groups, "using compute_groups will lead to unexpected behavior" + super().__init__( + metrics, + *additional_metrics, + prefix=prefix, + postfix=postfix, + compute_groups=compute_groups, + ) diff --git a/case_studies/redshift/redshift_from_img/DC2_generate_cat_split_data.ipynb b/case_studies/redshift/redshift_from_img/DC2_generate_cat_split_data.ipynb new file mode 100644 index 000000000..87aa24397 --- /dev/null +++ b/case_studies/redshift/redshift_from_img/DC2_generate_cat_split_data.ipynb @@ -0,0 +1,268 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## DC2 Generate Cat and Split Data " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from os import environ\n", + "from pathlib import Path\n", + "\n", + "import GCRCatalogs\n", + "import pandas as pd\n", + "import torch\n", + "from hydra import compose, initialize\n", + "from hydra.utils import instantiate\n", + "import pickle\n", + "\n", + "from bliss.catalog import SourceType\n", + "from bliss.surveys.dc2 import DC2, from_wcs_header_str_to_wcs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Generate Cat data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "output_dir = Path(\"./DC2_generate_catalog_output/\")\n", + "output_dir.mkdir(parents=True, exist_ok=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "truth_catalog_pickle_file = output_dir / \"truth_catalog.pkl\"\n", + "GCRCatalogs.set_root_dir(\"/nfs/turbo/lsa-regier/lsstdesc-public/dc2\")\n", + "if truth_catalog_pickle_file.exists():\n", + " with open(truth_catalog_pickle_file, \"rb\") as inputp: \n", + " truth_cat_data = pickle.load(inputp)\n", + "else: \n", + " truth_cat = GCRCatalogs.load_catalog(\"desc_dc2_run2.2i_dr6_truth\") \n", + " truth_cat_data = truth_cat.get_quantities([\n", + " \"id\", \"match_objectId\", \"cosmodc2_id\", \"ra\", \"dec\", \"truth_type\", \n", + " \"flux_g\", \"flux_i\", \"flux_r\", \"flux_u\", \"flux_y\", \"flux_z\", \"redshift\"\n", + " ])\n", + " truth_cat_data[\"redshifts\"] = truth_cat_data.pop(\"redshift\")\n", + " with open(truth_catalog_pickle_file, \"wb\") as outp:\n", + " pickle.dump(truth_cat_data, outp, pickle.HIGHEST_PROTOCOL)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "galaxy_params_pickle_file = output_dir / \"galaxy_params.pkl\"\n", + "if galaxy_params_pickle_file.exists():\n", + " with open(galaxy_params_pickle_file, \"rb\") as inputp: \n", + " galaxy_params_data = pickle.load(inputp)\n", + "else:\n", + " galaxy_params = GCRCatalogs.load_catalog(\"desc_cosmodc2\", {\n", + " \"catalog_root_dir\": \"/nfs/turbo/lsa-regier/lsstdesc-public/dc2/cosmoDC2\",\n", + " })\n", + " galaxy_params_data = galaxy_params.get_quantities([\n", + " \"galaxy_id\", \"position_angle_true\", \"size_minor_disk_true\", \n", + " \"size_disk_true\", \"size_minor_bulge_true\", \n", + " \"size_bulge_true\", \"bulge_to_total_ratio_i\"\n", + " ])\n", + " with open(galaxy_params_pickle_file, \"wb\") as outp:\n", + " pickle.dump(galaxy_params_data, outp, pickle.HIGHEST_PROTOCOL)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "psf_params_pickle_file = output_dir / \"psf_params.pkl\"\n", + "if psf_params_pickle_file.exists():\n", + " with open(psf_params_pickle_file, \"rb\") as inputp: \n", + " psf_params_data = pickle.load(inputp)\n", + "else:\n", + " psf_params = GCRCatalogs.load_catalog(\"desc_dc2_run2.2i_dr6_object_with_truth_match\")\n", + " psf_params_data = psf_params.get_quantities([\n", + " \"objectId\", \"IxxPSF_pixel_g\", \"IxxPSF_pixel_z\", \n", + " \"IxxPSF_pixel_r\", \"IxxPSF_pixel_i\", \"IxxPSF_pixel_u\", \n", + " \"IxxPSF_pixel_y\", \"IyyPSF_pixel_g\", \"IyyPSF_pixel_z\", \n", + " \"IyyPSF_pixel_r\", \"IyyPSF_pixel_i\", \"IyyPSF_pixel_u\", \n", + " \"IyyPSF_pixel_y\", \"IxyPSF_pixel_g\", \"IxyPSF_pixel_z\", \n", + " \"IxyPSF_pixel_r\", \"IxyPSF_pixel_i\", \"IxyPSF_pixel_u\", \n", + " \"IxyPSF_pixel_y\", \"psf_fwhm_g\", \"psf_fwhm_z\", \"psf_fwhm_r\",\n", + " \"psf_fwhm_i\", \"psf_fwhm_u\", \"psf_fwhm_y\"\n", + " ])\n", + " with open(psf_params_pickle_file, \"wb\") as outp:\n", + " pickle.dump(psf_params_data, outp, pickle.HIGHEST_PROTOCOL)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Merge Catalog" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "merged_catalog_pikle_file = output_dir / \"merged_catalog.pkl\"\n", + "if merged_catalog_pikle_file.exists():\n", + " with open(merged_catalog_pikle_file, \"rb\") as inputp: \n", + " truth_galaxy_psf_df = pickle.load(inputp)\n", + "else:\n", + " truth_cat_df = pd.DataFrame(truth_cat_data)\n", + " galaxy_params_df = pd.DataFrame(galaxy_params_data)\n", + " psf_params_df = pd.DataFrame(psf_params_data)\n", + " truth_galaxy_df = truth_cat_df.merge(\n", + " galaxy_params_df, \n", + " left_on=\"cosmodc2_id\", \n", + " right_on=\"galaxy_id\", \n", + " how=\"left\" \n", + " )\n", + " truth_galaxy_psf_df = truth_galaxy_df.fillna(-1).merge(\n", + " psf_params_df, \n", + " left_on=\"match_objectId\", \n", + " right_on=\"objectId\", \n", + " how=\"left\" \n", + " )\n", + " with open(merged_catalog_pikle_file, \"wb\") as outp:\n", + " pickle.dump(truth_galaxy_psf_df, outp, pickle.HIGHEST_PROTOCOL)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "# filter the object by flux\n", + "flux_min = 50\n", + "truth_galaxy_psf_df = truth_galaxy_psf_df.loc[truth_galaxy_psf_df[\"flux_r\"] > flux_min]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# # create a pickle file \n", + "truth_galaxy_psf_df.to_pickle(output_dir / f\"merged_catalog_with_flux_over_{flux_min}.pkl\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# generate split file" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n", + "initialization begins\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "initialization ends\n", + "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n", + "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n", + "load dc2\n", + "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n" + ] + } + ], + "source": [ + "print(\"+\" * 100, flush=True)\n", + "print(\"initialization begins\", flush=True)\n", + "\n", + "with initialize(config_path=\".\", version_base=None):\n", + " notebook_cfg = compose(\"notebook_config\")\n", + "print(\"initialization ends\", flush=True)\n", + "print(\"+\" * 100, flush=True)\n", + "\n", + "print(\"+\" * 100, flush=True)\n", + "print(\"load dc2\", flush=True)\n", + "dc2: DC2 = instantiate(notebook_cfg.surveys.dc2)\n", + "dc2.prepare_data()\n", + "dc2.setup()\n", + "dc2_test_dataset = dc2.test_dataset\n", + "print(\"+\" * 100, flush=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/case_studies/redshift/redshift_from_img/DC2_redshift_plot.ipynb b/case_studies/redshift/redshift_from_img/DC2_redshift_plot.ipynb new file mode 100644 index 000000000..3126555c2 --- /dev/null +++ b/case_studies/redshift/redshift_from_img/DC2_redshift_plot.ipynb @@ -0,0 +1,714 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## predict redshift using bliss & estimate" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import numpy as np\n", + "from os import environ\n", + "from pathlib import Path\n", + "from einops import rearrange\n", + "import pickle\n", + "from tqdm import tqdm \n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import pandas as pd\n", + "\n", + "from hydra import initialize, compose\n", + "from hydra.utils import instantiate\n", + "\n", + "from bliss.surveys.dc2 import DC2\n", + "from pathlib import Path\n", + "from sklearn.metrics import mean_squared_error\n", + "\n", + "environ[\"BLISS_HOME\"] = str(Path().resolve().parents[2])\n", + "home = environ[\"BLISS_HOME\"]\n", + "\n", + "output_dir = Path(\"./DC2_redshift_predict_output/\")\n", + "output_dir.mkdir(parents=True, exist_ok=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "with initialize(config_path=f\".\", version_base=None):\n", + " notebook_cfg = compose(\"notebook_predict_config\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([6])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a = torch.randn((6))\n", + "a.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([1])" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "b = torch.randn((1))\n", + "b.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([-0.2613, -1.2093, 0.7137, -1.7870, -1.9117, 1.2654, 0.5172])" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.cat((a,b), dim=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([0])" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.Tensor([]).shape" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.Tensor(1)[0].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "dc2: DC2 = instantiate(notebook_cfg.surveys.dc2)\n", + "dc2.setup()\n", + "dc2_train_dataset = dc2.train_dataset\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate mean of redshift in training set for baseline" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.1343084003841843" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "redshifts = []\n", + "for i in tqdm(range(len(dc2_train_dataset))):\n", + " non_zero_indices = torch.nonzero(dc2_train_dataset[i]['tile_catalog']['redshifts'])\n", + " redshifts += dc2_train_dataset[i]['tile_catalog']['redshifts'][non_zero_indices[:,0], non_zero_indices[:,1], non_zero_indices[:,2], non_zero_indices[:,3]].tolist()\n", + "np.mean(redshifts)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1000/1000 [00:03<00:00, 284.74it/s]\n" + ] + } + ], + "source": [ + "true_redshifts = []\n", + "for i in tqdm(range(len(dc2.test_dataset))):\n", + " non_zero_indices = torch.nonzero(dc2.test_dataset[i]['tile_catalog']['redshifts'])\n", + " true_redshifts += dc2_train_dataset[i]['tile_catalog']['redshifts'][non_zero_indices[:,0], non_zero_indices[:,1], non_zero_indices[:,2], non_zero_indices[:,3]].tolist()" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.2713602425547088" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.metrics import mean_squared_error\n", + "mean_squared_error(true_redshifts, [1.1343084003841843] * len(true_redshifts))" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(5.8433)" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dc2_train_dataset[0]['tile_catalog']['locs'].sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "8000" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(dc2_train_dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1000" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(dc2.valid_dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1000" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(dc2.test_dataset)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load One Full Image" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "dc2: DC2 = instantiate(notebook_cfg.surveys.dc2)\n", + "test_sample = dc2.get_plotting_sample(0)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# full image (4000 x 4000)\n", + "fig, ax = plt.subplots(figsize=(8, 8))\n", + "image = test_sample[\"image\"][0]\n", + "ax.imshow(np.log((image - image.min()) + 10), cmap=\"viridis\");" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "cur_image_wcs = test_sample[\"wcs\"]\n", + "cur_image_true_full_catalog = test_sample[\"full_catalog\"]\n", + "cur_image_match_id = test_sample[\"match_id\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([1, 17093, 1])" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cur_image_true_full_catalog['redshifts'].shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load the trained model and make prediction" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "ename": "RuntimeError", + "evalue": "Error(s) in loading state_dict for MyEncoder:\n\tUnexpected key(s) in state_dict: \"image_normalizer.asinh_thresholds_tensor\", \"image_normalizer.asinh_scales_tensor\". ", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[18], line 5\u001b[0m\n\u001b[1;32m 3\u001b[0m encoder \u001b[38;5;241m=\u001b[39m instantiate(notebook_cfg\u001b[38;5;241m.\u001b[39mencoder)\n\u001b[1;32m 4\u001b[0m pretrained_weights \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mload(MODEL_PATH)[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstate_dict\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m----> 5\u001b[0m \u001b[43mencoder\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_state_dict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpretrained_weights\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 6\u001b[0m encoder\u001b[38;5;241m.\u001b[39meval();\n", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/torch/nn/modules/module.py:2041\u001b[0m, in \u001b[0;36mModule.load_state_dict\u001b[0;34m(self, state_dict, strict)\u001b[0m\n\u001b[1;32m 2036\u001b[0m error_msgs\u001b[38;5;241m.\u001b[39minsert(\n\u001b[1;32m 2037\u001b[0m \u001b[38;5;241m0\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mMissing key(s) in state_dict: \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m. \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\n\u001b[1;32m 2038\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(k) \u001b[38;5;28;01mfor\u001b[39;00m k \u001b[38;5;129;01min\u001b[39;00m missing_keys)))\n\u001b[1;32m 2040\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(error_msgs) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m-> 2041\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mError(s) in loading state_dict for \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\n\u001b[1;32m 2042\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(error_msgs)))\n\u001b[1;32m 2043\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _IncompatibleKeys(missing_keys, unexpected_keys)\n", + "\u001b[0;31mRuntimeError\u001b[0m: Error(s) in loading state_dict for MyEncoder:\n\tUnexpected key(s) in state_dict: \"image_normalizer.asinh_thresholds_tensor\", \"image_normalizer.asinh_scales_tensor\". " + ] + } + ], + "source": [ + "# change this model path according to your training setting\n", + "MODEL_PATH = f\"{home}/output/DC2_redshift/DC2_redshift_only/checkpoints/encoder_val_loss=0.000000-v11.ckpt\"\n", + "encoder = instantiate(notebook_cfg.encoder)\n", + "pretrained_weights = torch.load(MODEL_PATH)[\"state_dict\"]\n", + "encoder.load_state_dict(pretrained_weights)\n", + "encoder.eval();" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# with open(f\"{home}/case_studies/dc2/DC2_exp_output/plotting_model_output.pkl\", \"rb\") as inputp: \n", + "# out_dict = pickle.load(inputp)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "ename": "RuntimeError", + "evalue": "Sizes of tensors must match except in dimension 1. Expected size 4000 but got size 80 for tensor number 1 in the list.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[9], line 9\u001b[0m\n\u001b[1;32m 1\u001b[0m batch \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 2\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtile_catalog\u001b[39m\u001b[38;5;124m\"\u001b[39m: test_sample[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtile_catalog\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[1;32m 3\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mimages\u001b[39m\u001b[38;5;124m\"\u001b[39m: rearrange(test_sample[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mimage\u001b[39m\u001b[38;5;124m\"\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mh w nw -> 1 h w nw\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m 4\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbackground\u001b[39m\u001b[38;5;124m\"\u001b[39m: rearrange(test_sample[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbackground\u001b[39m\u001b[38;5;124m\"\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mh w nw -> 1 h w nw\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m 5\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpsf_params\u001b[39m\u001b[38;5;124m\"\u001b[39m: rearrange(test_sample[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpsf_params\u001b[39m\u001b[38;5;124m\"\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mh w -> 1 h w\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 6\u001b[0m }\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mno_grad():\n\u001b[0;32m----> 9\u001b[0m out_dict \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpredict_step\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(output_dir \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mplotting_model_output.pkl\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwb\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m outp: \u001b[38;5;66;03m# Overwrites any existing file.\u001b[39;00m\n\u001b[1;32m 12\u001b[0m pickle\u001b[38;5;241m.\u001b[39mdump(out_dict, outp, pickle\u001b[38;5;241m.\u001b[39mHIGHEST_PROTOCOL)\n", + "File \u001b[0;32m~/bliss/bliss/encoder/encoder.py:354\u001b[0m, in \u001b[0;36mEncoder.predict_step\u001b[0;34m(self, batch, batch_idx, dataloader_idx)\u001b[0m\n\u001b[1;32m 351\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Pytorch lightning method.\"\"\"\u001b[39;00m\n\u001b[1;32m 352\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mno_grad():\n\u001b[1;32m 353\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {\n\u001b[0;32m--> 354\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmode_cat\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msample\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muse_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m,\n\u001b[1;32m 355\u001b[0m \u001b[38;5;66;03m# we may want multiple samples\u001b[39;00m\n\u001b[1;32m 356\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msample_cat\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msample(batch, use_mode\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m),\n\u001b[1;32m 357\u001b[0m }\n", + "File \u001b[0;32m~/bliss/bliss/encoder/encoder.py:188\u001b[0m, in \u001b[0;36mEncoder.sample\u001b[0;34m(self, batch, use_mode)\u001b[0m\n\u001b[1;32m 185\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmarginal_detections\u001b[39m(pred_marginal): \u001b[38;5;66;03m# noqa: WPS430\u001b[39;00m\n\u001b[1;32m 186\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pred_marginal\u001b[38;5;241m.\u001b[39msample(use_mode\u001b[38;5;241m=\u001b[39muse_mode)\n\u001b[0;32m--> 188\u001b[0m pred \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minfer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbatch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmarginal_detections\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 190\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39muse_checkerboard:\n\u001b[1;32m 191\u001b[0m est_cat \u001b[38;5;241m=\u001b[39m pred[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhistory_cat\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n", + "File \u001b[0;32m~/bliss/bliss/encoder/encoder.py:160\u001b[0m, in \u001b[0;36mEncoder.infer\u001b[0;34m(self, batch, history_callback)\u001b[0m\n\u001b[1;32m 157\u001b[0m pred \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 159\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mimage_normalizer\u001b[38;5;241m.\u001b[39mget_input_tensor(batch)\n\u001b[0;32m--> 160\u001b[0m x_features \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfeatures_net\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 162\u001b[0m x_cat_marginal \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmarginal_net(x_features)\n\u001b[1;32m 163\u001b[0m x_features \u001b[38;5;241m=\u001b[39m x_features\u001b[38;5;241m.\u001b[39mdetach() \u001b[38;5;66;03m# is this helpful? doing it here to match old code\u001b[39;00m\n", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1496\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1497\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1498\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1499\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1500\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1502\u001b[0m \u001b[38;5;66;03m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[38;5;241m=\u001b[39m [], []\n", + "File \u001b[0;32m~/bliss/case_studies/dc2_cataloging/utils/convnet.py:105\u001b[0m, in \u001b[0;36mFeaturesNet.forward\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m 100\u001b[0m preprocessed_asinh_params \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39masinh_preprocess(normalized_asinh_params\u001b[38;5;241m.\u001b[39munsqueeze(\u001b[38;5;241m0\u001b[39m))\n\u001b[1;32m 101\u001b[0m expanded_asinh_params \u001b[38;5;241m=\u001b[39m preprocessed_asinh_params\u001b[38;5;241m.\u001b[39mexpand(\n\u001b[1;32m 102\u001b[0m preprocessed_x\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 103\u001b[0m )\u001b[38;5;241m.\u001b[39mclone()\n\u001b[0;32m--> 105\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbackbone(\u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcat\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpreprocessed_x\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexpanded_asinh_params\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m)\n", + "\u001b[0;31mRuntimeError\u001b[0m: Sizes of tensors must match except in dimension 1. Expected size 4000 but got size 80 for tensor number 1 in the list." + ] + } + ], + "source": [ + "batch = {\n", + " \"tile_catalog\": test_sample[\"tile_catalog\"],\n", + " \"images\": rearrange(test_sample[\"image\"], \"h w nw -> 1 h w nw\"),\n", + " \"background\": rearrange(test_sample[\"background\"], \"h w nw -> 1 h w nw\"),\n", + " \"psf_params\": rearrange(test_sample[\"psf_params\"], \"h w -> 1 h w\")\n", + "}\n", + "\n", + "with torch.no_grad():\n", + " out_dict = encoder.predict_step(batch, None)\n", + "\n", + "with open(output_dir / \"plotting_model_output.pkl\", \"wb\") as outp: # Overwrites any existing file.\n", + " pickle.dump(out_dict, outp, pickle.HIGHEST_PROTOCOL)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'mode_cat': TileCatalog(1 x 1000 x 1000),\n", + " 'sample_cat': TileCatalog(1 x 1000 x 1000)}" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "out_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "bliss_catalog = out_dict[\"mode_cat\"]\n", + "bliss_catalog = bliss_catalog.to_full_catalog()\n", + "# bliss_catalog.plocs = bliss_catalog.plocs + 4\n", + "matcher = instantiate(notebook_cfg.encoder.matcher)\n", + "metrics = instantiate(notebook_cfg.encoder.metrics)\n", + "matching = matcher.match_catalogs(test_sample[\"full_catalog\"], bliss_catalog)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[[-131.1291],\n", + " [-109.7672],\n", + " [-119.4394],\n", + " ...,\n", + " [-323.6801],\n", + " [-223.2619],\n", + " [-132.0916]]])" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bliss_catalog[\"redshift\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(tensor([ 15, 52, 55, ..., 17052, 17060, 17072]),\n", + " tensor([472295, 483035, 452235, ..., 86655, 145089, 155193]))]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "matching" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plotting" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_3382958/3296122314.py:7: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n", + " plt.scatter(\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# flux error\n", + "true_matches, bliss_matches = matching[0]\n", + "# true_flux = cur_image_true_full_catalog.on_fluxes[0, true_matches, :]\n", + "# bliss_flux = bliss_catalog.on_fluxes[0, bliss_matches, :]\n", + "true_redshift = cur_image_true_full_catalog[\"redshift\"][0, true_matches, :]\n", + "bliss_redshift = bliss_catalog.data[\"redshift\"][0, bliss_matches, :]\n", + "plt.scatter(\n", + " x = np.array(true_redshift), \n", + " y = np.array(bliss_redshift), \n", + " alpha = 0.6,\n", + " cmap = \"viridis\"\n", + ")\n", + "# plt.xlim(90, 1000)\n", + "plt.ylabel('Bliss redshift')\n", + "plt.xlabel('Truth redshift')\n", + "plt.axline((0, 0), slope=1, color='r', linestyle='--')\n", + "# plt.axhline(y=0, color='r', linestyle='--')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[ 133.4033, 449.6573, 339.8168, 40.5279, 583.0919, 522.6511],\n", + " [ 209.0075, 938.2157, 685.0092, 76.2800, 1220.0232, 1104.1008],\n", + " [ 237.6231, 289.7214, 251.7489, 275.3077, 589.6597, 382.0929],\n", + " ...,\n", + " [ 144.8954, 137.3807, 134.9695, 158.5171, 206.0946, 205.2832],\n", + " [ 103.3476, 488.2363, 224.0511, 82.9568, 1680.4921, 1006.5674],\n", + " [ 173.0807, 163.0257, 146.0339, 160.5083, 198.3755, 181.6145]])" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "true_flux" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1692" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(bliss_redshift)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mse:76338.794526\n" + ] + } + ], + "source": [ + "mse = mean_squared_error(true_redshift, bliss_redshift)\n", + "print(f\"mse:{mse:03f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bliss-deblender-IlvvpPLR-py3.10", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/case_studies/redshift/redshift_from_img/encoder/encoder.py b/case_studies/redshift/redshift_from_img/encoder/encoder.py index 0cacce775..1194293fc 100644 --- a/case_studies/redshift/redshift_from_img/encoder/encoder.py +++ b/case_studies/redshift/redshift_from_img/encoder/encoder.py @@ -1,18 +1,27 @@ -from bliss.catalog import BaseTileCatalog +from bliss.catalog import TileCatalog from bliss.encoder.encoder import Encoder class RedshiftsEncoder(Encoder): def update_metrics(self, batch, batch_idx): - target_cat = BaseTileCatalog(self.tile_slen, batch["tile_catalog"]) + target_cat = TileCatalog(self.tile_slen, batch["tile_catalog"]) + target_cat = target_cat.filter_tile_catalog_by_flux( + min_flux=self.min_flux_for_loss, + band=self.reference_band, + ) target_cat = target_cat.symmetric_crop(self.tiles_to_crop) mode_cat = self.sample(batch, use_mode=True) - self.mode_metrics.update(target_cat, mode_cat) + matching = self.matcher.match_catalogs(target_cat, mode_cat) + self.mode_metrics.update(target_cat, mode_cat, matching) sample_cat = self.sample(batch, use_mode=False) - self.sample_metrics.update(target_cat, sample_cat) + matching = self.matcher.match_catalogs(target_cat, sample_cat) + self.sample_metrics.update(target_cat, sample_cat, matching) def on_validation_epoch_end(self): + # https://github.com/Lightning-AI/pytorch-lightning/discussions/2529 + self.mode_metrics = self.mode_metrics.to(self.device) + self.sample_metrics = self.sample_metrics.to(self.device) self.report_metrics(self.mode_metrics, "val/mode", show_epoch=True) self.report_metrics(self.sample_metrics, "val/sample", show_epoch=True) diff --git a/case_studies/redshift/redshift_from_img/encoder/metrics.py b/case_studies/redshift/redshift_from_img/encoder/metrics.py index db91c5b2a..9d82a65e0 100644 --- a/case_studies/redshift/redshift_from_img/encoder/metrics.py +++ b/case_studies/redshift/redshift_from_img/encoder/metrics.py @@ -1,6 +1,27 @@ +# flake8: noqa: WPS348 +from typing import List, Union + import torch +from einops import rearrange +from torch import Tensor from torchmetrics import Metric +from bliss.catalog import BaseTileCatalog +from bliss.encoder.metrics import CatalogMatcher + + +class MetricBin(Metric): + def __init__( + self, + mag_band: int = 2, + mag_bin_cutoffs: list = None, + **kwargs, + ): + super().__init__(**kwargs) + self.mag_band = mag_band + self.mag_bin_cutoffs = mag_bin_cutoffs + self.n_bins = len(self.mag_bin_cutoffs) + 1 + class RedshiftMeanSquaredError(Metric): def __init__(self, **kwargs): @@ -8,15 +29,398 @@ def __init__(self, **kwargs): self.add_state("sum_squared_error", default=torch.zeros(1), dist_reduce_fx="sum") self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") - def update(self, true_cat, est_cat): + def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): - true_red = true_cat["redshifts"][i] - est_red = est_cat["redshifts"][i] + tcat_matches, ecat_matches = matching[i] + self.total += tcat_matches.sum() + + true_red = true_cat["redshifts"][i][tcat_matches] + est_red = est_cat["redshifts"][i][ecat_matches] red_err = ((true_red - est_red).abs() ** 2).sum() - self.total += torch.flatten(true_cat["redshifts"][i]).shape[0] self.sum_squared_error += red_err def compute(self): + print(f"total num of pts: {self.total}") # noqa: WPS421 mse = self.sum_squared_error / self.total return {"redshifts/mse": mse.item()} + + +class RedshiftMeanSquaredErrorBin(MetricBin): + def __init__( + self, + **kwargs, + ): + super().__init__(**kwargs) + self.add_state("sum_squared_error", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") + + def update(self, true_cat, est_cat, matching): + cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + + true_mag = ( + true_cat.on_fluxes[i][..., self.mag_band] + .unsqueeze(-1)[tcat_matches] + .to(self.device) + ) + bin_indices = torch.bucketize(true_mag, cutoffs) + + red_err = (true_red - est_red).abs() ** 2 + + self.total += bin_indices.bincount(minlength=self.n_bins) + for bin_idx, err in zip(bin_indices, red_err): + self.sum_squared_error[bin_idx] += err + + def compute(self): + print(f"total num of pts: {self.total}") # noqa: WPS421 + mse_per_bin = self.sum_squared_error / self.total + mse_per_bin_results = { + f"redshifts/mse_bin_{i}": mse_per_bin[i].item() for i in range(len(mse_per_bin)) + } + return {**mse_per_bin_results} + + +class RedshiftOutlierFraction(Metric): + """set |z_true - z_pred| / (1 + z_true) > 0.15 as outlier, # noqa: RST305 D415 + |z_true - z_pred| > 1 as catastrophic outlier, then calculate + fraction by outlier / total . + """ + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.add_state("num_outlier", default=torch.zeros(1), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") + + def update(self, true_cat, est_cat, matching): + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + self.total += tcat_matches.sum() + + true_red = true_cat["redshifts"][i][tcat_matches] + est_red = est_cat["redshifts"][i][ecat_matches] + metric_outlier = torch.abs(true_red - est_red) / (1 + true_red) + self.num_outlier += (metric_outlier > 0.15).sum() + + def compute(self): + outlier_fraction = self.num_outlier / self.total + return {"redshifts/outlier_fraction": outlier_fraction.item()} + + +class RedshiftOutlierFractionBin(MetricBin): + """set |z_true - z_pred| / (1 + z_true) > 0.15 as outlier, # noqa: RST305 D415 + |z_true - z_pred| > 1 as catastrophic outlier, then calculate + fraction by outlier / total . + """ + + def __init__( + self, + **kwargs, + ): + super().__init__(**kwargs) + self.add_state("num_outlier", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") + + def update(self, true_cat, est_cat, matching): + cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + true_mag = ( + true_cat.on_fluxes[i][..., self.mag_band] + .unsqueeze(-1)[tcat_matches] + .to(self.device) + ) + bin_indices = torch.bucketize(true_mag, cutoffs) + + metric_outlier = torch.abs(true_red - est_red) / (1 + true_red) + metric_outlier = metric_outlier > 0.15 + + self.total += bin_indices.bincount(minlength=self.n_bins) + for bin_idx, outlier in zip(bin_indices, metric_outlier): + self.num_outlier[bin_idx] += outlier + + def compute(self): + outlier_fraction_per_bin = self.num_outlier / self.total + outlier_fraction_per_bin_results = { + f"redshifts/outlier_fraction_bin_{i}": outlier_fraction_per_bin[i].item() + for i in range(len(outlier_fraction_per_bin)) + } + return {**outlier_fraction_per_bin_results} + + +class RedshiftOutlierFractionCata(Metric): + """set |z_true - z_pred| / (1 + z_true) > 0.15 as outlier, # noqa: D415 RST305 + |z_true - z_pred| > 1 as catastrophic outlier, then calculate + fraction by outlier / total. + """ + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.add_state("num_outlier_cata", default=torch.zeros(1), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(1), dist_reduce_fx="sum") + + def update(self, true_cat, est_cat, matching): + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + self.total += tcat_matches.sum() + + true_red = true_cat["redshifts"][i][tcat_matches] + est_red = est_cat["redshifts"][i][ecat_matches] + metric_outlier_cata = torch.abs(true_red - est_red) + self.num_outlier_cata += (metric_outlier_cata > 1).sum() + + def compute(self): + outlier_fraction_cata = self.num_outlier_cata / self.total + return {"redshifts/outlier_fraction_cata": outlier_fraction_cata.item()} + + +class RedshiftOutlierFractionCataBin(MetricBin): + """set |z_true - z_pred| / (1 + z_true) > 0.15 as outlier, # noqa: RST305 D415 + |z_true - z_pred| > 1 as catastrophic outlier, then calculate + fraction by outlier / total. + """ + + def __init__( + self, + **kwargs, + ): + super().__init__(**kwargs) + self.add_state("num_outlier_cata", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") + + def update(self, true_cat, est_cat, matching): + cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + true_mag = ( + true_cat.on_fluxes[i][..., self.mag_band] + .unsqueeze(-1)[tcat_matches] + .to(self.device) + ) + bin_indices = torch.bucketize(true_mag, cutoffs) + + metric_outlier_cata = torch.abs(true_red - est_red) + metric_outlier_cata = metric_outlier_cata > 1 + + self.total += bin_indices.bincount(minlength=self.n_bins) + for bin_idx, outlier in zip(bin_indices, metric_outlier_cata): + self.num_outlier_cata[bin_idx] += outlier + + def compute(self): + outlier_fraction_cata_per_bin = self.num_outlier_cata / self.total + outlier_fraction_cata_per_bin_results = { + f"redshifts/outlier_fraction_cata_bin_{i}": outlier_fraction_cata_per_bin[i].item() + for i in range(len(outlier_fraction_cata_per_bin)) + } + return {**outlier_fraction_cata_per_bin_results} + + +class RedshiftNormalizedMedianAbsDev(Metric): + """NMAD = 1.4826 * Median(|(z_true - z_pred) / (1 + z_true)| # noqa: RST305 D415 + - Median((z_true - z_pred) / (1 + z_true))). + """ + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.add_state("metrics", default=[], dist_reduce_fx="cat") + + def update(self, true_cat, est_cat, matching): + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + true_red = true_cat["redshifts"][i][tcat_matches] + est_red = est_cat["redshifts"][i][ecat_matches] + metrics = (true_red - est_red) / (1 + true_red) + self.metrics.append(metrics) + + def compute(self): + bias = torch.median(dim_zero_cat(self.metrics)) + nmad_all = torch.abs(self.metrics - bias) + nmad = 1.4826 * torch.median(nmad_all) + return {"redshifts/nmad": nmad.item()} + + +class RedshiftNormalizedMedianAbsDevBin(MetricBin): + """NMAD = 1.4826 * Median(|(z_true - z_pred) / (1 + z_true)| - Median((z_true - z_pred) / (1 + z_true))).""" # noqa: E501 RST305 # pylint: disable=line-too-long + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.add_state("metrics", default=[]) # store (z_true - z_pred) / (1 + z_true) + for _ in range(self.n_bins): + self.metrics.append(torch.tensor([])) + + def update(self, true_cat, est_cat, matching): + cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + + true_mag = ( + true_cat.on_fluxes[i][..., self.mag_band] + .unsqueeze(-1)[tcat_matches] + .to(self.device) + ) + bin_indices = torch.bucketize(true_mag, cutoffs) + + metrics = (true_red - est_red) / (1 + true_red) + + for bin_idx, metric in zip(bin_indices, metrics): + metric = metric.to(self.metrics[bin_idx].device) + self.metrics[bin_idx] = torch.cat( # noqa: WPS317 + ( + self.metrics[bin_idx], + metric.unsqueeze(0), + ), + dim=0, + ) + + def compute(self): + # reduce across distributed system + metrics = [] + for _ in range(self.n_bins): + metrics.append(torch.tensor([], device=self.device)) + for i, metric in enumerate(self.metrics): + metric = metric.to(self.device) + metrics[i % self.n_bins] = torch.cat((metrics[i % self.n_bins], metric), dim=0) + + # compute + bias_per_bin = [torch.median(metric) for metric in metrics] # [tensor1, tensor2] + nmad_all_per_bin = [torch.abs(metric - bias) for metric, bias in zip(metrics, bias_per_bin)] + nmad = [1.4826 * torch.median(nmad_all) for nmad_all in nmad_all_per_bin] + return {f"redshifts/nmad_bin_{i}": nmad[i].item() for i in range(len(nmad))} + + def reset(self): + # Reset the state to the initial empty tensors + self.metrics = [] # pylint: disable=attribute-defined-outside-init + for _ in range(self.n_bins): + self.metrics.append(torch.tensor([])) + + +class RedshiftBias(Metric): + """bias = Median((z_true - z_pred) / (1 + z_true))).""" + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.add_state( + "bias", default=[], dist_reduce_fx="cat" + ) # store (z_true - z_pred) / (1 + z_true) # pylint: disable=line-too-long + + def update(self, true_cat, est_cat, matching): + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + metrics = (true_red - est_red) / (1 + true_red) + self.bias.append(metrics) + + def compute(self): + bias = torch.median(dim_zero_cat(self.bias)) + return {"redshifts/bias": bias.item()} + + +class RedshiftBiasBin(MetricBin): + """bias = Median((z_true - z_pred) / (1 + z_true))).""" + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.add_state("bias", default=[]) # store (z_true - z_pred) / (1 + z_true) + for _ in range(self.n_bins): + self.bias.append(torch.tensor([])) + + def update(self, true_cat, est_cat, matching): + cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + + true_mag = ( + true_cat.on_fluxes[i][..., self.mag_band] + .unsqueeze(-1)[tcat_matches] + .to(self.device) + ) + bin_indices = torch.bucketize(true_mag, cutoffs) + + metrics = (true_red - est_red) / (1 + true_red) + + for bin_idx, metric in zip(bin_indices, metrics): + metric = metric.to(self.bias[bin_idx].device) + self.bias[bin_idx] = torch.cat((self.bias[bin_idx], metric.unsqueeze(0)), dim=0) + + def compute(self): + # reduce across distributed system + metrics = [] + for _ in range(self.n_bins): + metrics.append(torch.tensor([], device=self.device)) + for i, metric in enumerate(self.bias): + metric = metric.to(self.device) + metrics[i % self.n_bins] = torch.cat((metrics[i % self.n_bins], metric), dim=0) + + # compute + bias_per_bin = [torch.median(metric) for metric in metrics] + return {f"redshifts/bias_bin_{i}": bias_per_bin[i].item() for i in range(len(bias_per_bin))} + + def reset(self): + # Reset the state to the initial empty tensors + self.bias = [] # pylint: disable=attribute-defined-outside-init + for _ in range(self.n_bins): + self.bias.append(torch.tensor([])) + + +class RedshiftsCatalogMatcher(CatalogMatcher): + def __init__( + self, + match_gating="n_sources", + **kwargs, + ): + super().__init__(**kwargs) + self.match_gating = match_gating + + def match_catalogs(self, true_cat, est_cat): + """Get matched index used for metrics evaluation. + + Args: + true_cat: true cat + est_cat: est cat + + Returns: + matched index based on self.match_gating + """ + assert isinstance(true_cat, BaseTileCatalog) and isinstance(est_cat, BaseTileCatalog) + assert true_cat.batch_size == est_cat.batch_size + + matching = [] + for i in range(true_cat.batch_size): + if self.match_gating == "n_sources": + gating = rearrange(true_cat["n_sources"][i], "ht wt -> ht wt 1 1") + elif self.match_gating == "is_star": + gating = true_cat.star_bools[i] + elif self.match_gating == "is_galaxy": + gating = true_cat.galaxy_bools[i] + matching.append((gating, gating)) + + return matching + + +def dim_zero_cat(x: Union[Tensor, List[Tensor]]) -> Tensor: + """Concatenation along the zero dimension.""" + if isinstance(x, torch.Tensor): + return x + x = [y.unsqueeze(0) if y.numel() == 1 and y.ndim == 0 else y for y in x] + if not x: # empty list + raise ValueError("No samples to concatenate") + return torch.cat(x, dim=0) diff --git a/case_studies/redshift/redshift_from_img/full_train_config.yaml b/case_studies/redshift/redshift_from_img/full_train_config.yaml index b08911c45..c7517873c 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config.yaml @@ -10,41 +10,42 @@ global_setting: min_flux_for_loss: 50 # you need to regenerate split_results after changing this number variational_factors: - # - _target_: bliss.encoder.variational_dist.BernoulliFactor - # name: n_sources - # sample_rearrange: null - # nll_rearrange: null - # nll_gating: null - # - _target_: bliss.encoder.variational_dist.BernoulliFactor - # name: source_type - # sample_rearrange: "b ht wt -> b ht wt 1 1" - # nll_rearrange: "b ht wt 1 1 -> b ht wt" - # nll_gating: n_sources - # - _target_: bliss.encoder.variational_dist.TDBNFactor - # name: locs - # sample_rearrange: "b ht wt d -> b ht wt 1 d" - # nll_rearrange: "b ht wt 1 d -> b ht wt d" - # nll_gating: n_sources - # - _target_: bliss.encoder.variational_dist.LogNormalFactor - # name: star_fluxes - # dim: 6 - # sample_rearrange: "b ht wt d -> b ht wt 1 d" - # nll_rearrange: "b ht wt 1 d -> b ht wt d" - # nll_gating: is_star - # - _target_: bliss.encoder.variational_dist.LogNormalFactor - # name: galaxy_fluxes - # dim: 6 - # sample_rearrange: "b ht wt d -> b ht wt 1 d" - # nll_rearrange: "b ht wt 1 d -> b ht wt d" - # nll_gating: is_galaxy + - _target_: bliss.encoder.variational_dist.BernoulliFactor + name: n_sources + sample_rearrange: null + nll_rearrange: null + nll_gating: null + - _target_: bliss.encoder.variational_dist.BernoulliFactor + name: source_type + sample_rearrange: "b ht wt -> b ht wt 1 1" + nll_rearrange: "b ht wt 1 1 -> b ht wt" + nll_gating: n_sources + - _target_: bliss.encoder.variational_dist.TDBNFactor + name: locs + sample_rearrange: "b ht wt d -> b ht wt 1 d" + nll_rearrange: "b ht wt 1 d -> b ht wt d" + nll_gating: n_sources + - _target_: bliss.encoder.variational_dist.LogNormalFactor + name: star_fluxes + dim: 6 + sample_rearrange: "b ht wt d -> b ht wt 1 d" + nll_rearrange: "b ht wt 1 d -> b ht wt d" + nll_gating: is_star + - _target_: bliss.encoder.variational_dist.LogNormalFactor + name: galaxy_fluxes + dim: 6 + sample_rearrange: "b ht wt d -> b ht wt 1 d" + nll_rearrange: "b ht wt 1 d -> b ht wt d" + nll_gating: is_galaxy - _target_: bliss.encoder.variational_dist.NormalFactor name: redshifts sample_rearrange: "b ht wt -> b ht wt 1 1" nll_rearrange: "b ht wt 1 1 -> b ht wt" - nll_gating: null + nll_gating: is_galaxy encoder: - _target_: case_studies.redshift.redshift_from_img.encoder.encoder.RedshiftsEncoder + # _target_: case_studies.redshift.redshift_from_img.encoder.encoder.RedshiftsEncoder + _target_: bliss.encoder.encoder.Encoder survey_bands: ["g", "i", "r", "u", "y", "z"] tile_slen: 4 tiles_to_crop: 1 @@ -66,29 +67,36 @@ encoder: use_clahe: true clahe_min_stdev: 200 # matcher: - # _target_: bliss.encoder.metrics.CatalogMatcher - # dist_slack: 1.0 - # mag_slack: null - # mag_band: 2 # SDSS r-band + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftsCatalogMatcher + # match_gating: is_galaxy metrics: _target_: torchmetrics.MetricCollection _convert_: "partial" metrics: ${my_metrics} var_dist: - _target_: case_studies.redshift.redshift_from_img.encoder.variational_dist.RedshiftVariationalDist + # _target_: case_studies.redshift.redshift_from_img.encoder.variational_dist.RedshiftVariationalDist + _target_: bliss.encoder.variational_dist.VariationalDist tile_slen: ${encoder.tile_slen} factors: ${variational_factors} - use_checkerboard: false + use_checkerboard: true my_metrics: redshift_mearn_square_error: _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredError + redshift_outlier_fraction: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFraction + redshift_nmad: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDev + redshift_outlier_fraction_catastrophic: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCata + redshift_bias: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBias train: trainer: logger: name: DC2_redshift_training - version: DC2_redshift_only_all + version: DC2_redshift_only_all_3metrics_100fluxfilter_6att_hascheckandfilter save_dir: ${paths.root}/case_studies/redshift/redshift_from_img/ precision: 32 strategy: @@ -98,11 +106,11 @@ train: timeout: _target_: datetime.timedelta seconds: 180000 - # val_check_interval: 0.25 - check_val_every_n_epoch: 1 + val_check_interval: 0.1 + # check_val_every_n_epoch: 1 # devices: [0, 2, 3, 4] - devices: [0] - max_epochs: 25 + devices: [5, 6] + max_epochs: 50 callbacks: checkpointing: _target_: pytorch_lightning.callbacks.ModelCheckpoint @@ -112,8 +120,13 @@ train: # monitor: val/_loss monitor: val/mode/redshifts/mse mode: min + early_stopping: + _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping + monitor: val/_loss + mode: min + patience: 500 data_source: ${surveys.dc2} - pretrained_weights: null + # pretrained_weights: /home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/DC2_redshift_only_all_3metrics/checkpoints/encoder_0.351515.ckpt test_best: true @@ -121,3 +134,4 @@ surveys: dc2: cat_path: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl split_results_dir: /data/scratch/qiaozhih/DC2_split_result_all + batch_size: 64 diff --git a/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml b/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml new file mode 100644 index 000000000..92743ecd2 --- /dev/null +++ b/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml @@ -0,0 +1,124 @@ +--- +defaults: + - ../../../bliss/conf@_here_: base_config + - _self_ + # - override hydra/job_logging: stdout + +mode: train + +global_setting: + min_flux_for_loss: 50 # you need to regenerate split_results after changing this number + +variational_factors: + - _target_: bliss.encoder.variational_dist.NormalFactor + name: redshifts + sample_rearrange: "b ht wt -> b ht wt 1 1" + nll_rearrange: "b ht wt 1 1 -> b ht wt" + nll_gating: is_galaxy + +encoder: + _target_: case_studies.redshift.redshift_from_img.encoder.encoder.RedshiftsEncoder + # _target_: bliss.encoder.encoder.Encoder + survey_bands: ["g", "i", "r", "u", "y", "z"] + tile_slen: 4 + tiles_to_crop: 1 + min_flux_for_loss: ${global_setting.min_flux_for_loss} + min_flux_for_metrics: 100 + optimizer_params: + lr: 1e-3 + scheduler_params: + milestones: [32] + gamma: 0.1 + image_normalizer: + _target_: bliss.encoder.image_normalizer.ImageNormalizer + bands: [0, 1, 2, 3, 4, 5] + include_original: false + include_background: false + concat_psf_params: false + num_psf_params: 4 # for SDSS, 4 for DC2 + log_transform_stdevs: [] + use_clahe: true + clahe_min_stdev: 200 + matcher: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftsCatalogMatcher + match_gating: is_galaxy + metrics: + _target_: torchmetrics.MetricCollection + _convert_: "partial" + metrics: ${my_metrics} + var_dist: + _target_: case_studies.redshift.redshift_from_img.encoder.variational_dist.RedshiftVariationalDist + tile_slen: ${encoder.tile_slen} + factors: ${variational_factors} + use_checkerboard: false + +my_metrics: + redshift_mearn_square_error: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredError + redshift_mearn_square_error_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBin + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + redshift_outlier_fraction: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFraction + redshift_outlier_fraction_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionBin + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + redshift_nmad: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDev + redshift_nmad_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDevBin + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + redshift_outlier_fraction_catastrophic: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCata + redshift_outlier_fraction_catastrophic_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCataBin + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + redshift_bias: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBias + redshift_bias_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBiasBin + mag_bin_cutoffs: [200, 400, 600, 800, 1000] + +train: + trainer: + logger: + name: DC2_redshift_training + version: DC2_redshift_only_bin_allmetrics + save_dir: ${paths.root}/case_studies/redshift/redshift_from_img/ + precision: 32 + strategy: + _target_: pytorch_lightning.strategies.DDPStrategy + find_unused_parameters: true + process_group_backend: nccl + timeout: + _target_: datetime.timedelta + seconds: 180000 + val_check_interval: 0.5 + # check_val_every_n_epoch: 1 + # devices: [0, 2, 3, 4] + devices: [5, 6] + max_epochs: 0 + callbacks: + checkpointing: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + filename: encoder_{val/mode/redshifts/mse:.6f} + save_top_k: 5 + verbose: True + # monitor: val/_loss + monitor: val/mode/redshifts/mse + mode: min + early_stopping: + _target_: pytorch_lightning.callbacks.early_stopping.EarlyStopping + monitor: val/_loss + mode: min + patience: 500 + data_source: ${surveys.dc2} + pretrained_weights: /home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/DC2_redshift_only_bin/checkpoints/encoder_0.174964.ckpt + test_best: false + + +surveys: + dc2: + cat_path: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl + split_results_dir: /data/scratch/qiaozhih/DC2_split_result_all + batch_size: 128 diff --git a/case_studies/redshift/redshift_from_img/train.sh b/case_studies/redshift/redshift_from_img/train.sh index 9660ae13f..8c4623bf9 100755 --- a/case_studies/redshift/redshift_from_img/train.sh +++ b/case_studies/redshift/redshift_from_img/train.sh @@ -1,2 +1,11 @@ #!/bin/bash -nohup bliss -cp ~/bliss/case_studies/redshift/redshift_from_img -cn full_train_config > DC2_psf_aug_asinh.out 2>&1 & +DIRNAME="DC2_redshift_only_bin_allmetrics" + +# Create the directory if it does not already exist +if [ ! -d "/home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/$DIRNAME" ]; then + mkdir -p "/home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/$DIRNAME" +else + echo "Directory already exists: /home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/$DIRNAME" +fi + +nohup bliss -cp ~/bliss/case_studies/redshift/redshift_from_img -cn full_train_config_redshift > "/home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/$DIRNAME/DC2_psf_aug_asinh.out" 2>&1 & From ccc9feaf2914c20d23b2b1dde56db19179f7aa65 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Wed, 3 Jul 2024 14:21:13 -0400 Subject: [PATCH 21/27] dc2 mag formula change --- bliss/catalog.py | 62 ++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 60 insertions(+), 2 deletions(-) diff --git a/bliss/catalog.py b/bliss/catalog.py index f33c450c9..00a9e250b 100644 --- a/bliss/catalog.py +++ b/bliss/catalog.py @@ -13,11 +13,11 @@ def convert_mag_to_nmgy(mag): - return 10 ** ((22.5 - mag) / 2.5) + return 10 ** ((22.5 - mag) / 2.5) * 3631 def convert_nmgy_to_mag(nmgy): - return 22.5 - 2.5 * torch.log10(nmgy) + return 22.5 - 2.5 * torch.log10(nmgy / 3631) # dc2 class SourceType(IntEnum): @@ -65,6 +65,38 @@ def symmetric_crop(self, tiles_to_crop): [tiles_to_crop, self.n_tiles_w - tiles_to_crop], ) + def filter_base_tile_catalog_by_ploc_box(self, box_origin: torch.Tensor, box_len: float): + assert box_origin[0] + box_len < self.height, "invalid box" + assert box_origin[1] + box_len < self.width, "invalid box" + + box_origin_tensor = box_origin.view(1, 1, 2).to(device=self.device) + box_end_tensor = (box_origin + box_len).view(1, 1, 2).to(device=self.device) + + plocs_mask = torch.all( + (self["plocs"] < box_end_tensor) & (self["plocs"] > box_origin_tensor), dim=2 + ) + + plocs_mask_indexes = plocs_mask.nonzero() + plocs_inverse_mask_indexes = (~plocs_mask).nonzero() + plocs_full_mask_indexes = torch.cat((plocs_mask_indexes, plocs_inverse_mask_indexes), dim=0) + _, index_order = plocs_full_mask_indexes[:, 0].sort(stable=True) + plocs_full_mask_sorted_indexes = plocs_full_mask_indexes[index_order.tolist(), :] + + d = {} + new_max_sources = plocs_mask.sum(dim=1).max() + for k, v in self.items(): + if k == "n_sources": + d[k] = plocs_mask.sum(dim=1) + else: + d[k] = v[ + plocs_full_mask_sorted_indexes[:, 0].tolist(), + plocs_full_mask_sorted_indexes[:, 1].tolist(), + ].view(-1, self.max_sources, v.shape[-1])[:, :new_max_sources, :] + + d["plocs"] -= box_origin_tensor + + return FullCatalog(box_len, box_len, d) + class TileCatalog(BaseTileCatalog): galaxy_params = [ @@ -307,6 +339,32 @@ def filter_tile_catalog_by_flux(self, min_flux=0, max_flux=torch.inf, band=2): return TileCatalog(self.tile_slen, d) + def filter_tile_catalog_by_flux_no_sort(self, min_flux=0, max_flux=torch.inf, band=2): + """Restricts TileCatalog to sources that have a flux between min_flux and max_flux. + + Args: + min_flux (float): Minimum flux value to keep. Defaults to 0. + max_flux (float): Maximum flux value to keep. Defaults to infinity. + band (int): The band to compare fluxes in. Defaults to 2 (r-band). + + Returns: + TileCatalog: a new catalog with only sources within the flux range. Note that the size + of the tensors stays the same, but params at sources outside the range are set to 0. + """ + on_fluxes = self.on_fluxes[..., band] + flux_mask = (on_fluxes > min_flux) & (on_fluxes < max_flux) + + d = {} + for key, val in self.items(): + if key in {"shear", "convergence"}: + d[key] = val + elif key == "n_sources": + d[key] = flux_mask.sum(dim=3) # number of sources within range in tile + else: + d[key] = torch.where(flux_mask.unsqueeze(-1), val, torch.zeros_like(val)) + + return TileCatalog(self.tile_slen, d) + def union(self, other: "TileCatalog") -> "TileCatalog": """Returns a new TileCatalog containing the union of the sources in self and other. From 2827ca526283d3dc6f66643c9c3336becd852908 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Mon, 8 Jul 2024 10:25:16 -0400 Subject: [PATCH 22/27] add nanojy mag --- bliss/catalog.py | 15 ++++++++++++--- case_studies/redshift/evaluation/dc2_plot.ipynb | 2 +- 2 files changed, 13 insertions(+), 4 deletions(-) diff --git a/bliss/catalog.py b/bliss/catalog.py index 00a9e250b..62db471d0 100644 --- a/bliss/catalog.py +++ b/bliss/catalog.py @@ -13,11 +13,16 @@ def convert_mag_to_nmgy(mag): - return 10 ** ((22.5 - mag) / 2.5) * 3631 + return 10 ** ((22.5 - mag) / 2.5) def convert_nmgy_to_mag(nmgy): - return 22.5 - 2.5 * torch.log10(nmgy / 3631) # dc2 + return 22.5 - 2.5 * torch.log10(nmgy) + + +def convert_nmgy_to_njymag(nmgy): + """Convert from flux (nano-maggie) to mag (nano-jansky), which is the format used by DC2.""" + return 22.5 - 2.5 * torch.log10(nmgy / 3631) class SourceType(IntEnum): @@ -161,6 +166,10 @@ def on_fluxes(self): def magnitudes(self): return convert_nmgy_to_mag(self.on_fluxes) + @property + def magnitudes_njy(self): + return convert_nmgy_to_njymag(self.on_fluxes) + def to_full_catalog(self): """Converts image parameters in tiles to parameters of full image. @@ -176,7 +185,7 @@ def to_full_catalog(self): plocs = self.get_full_locs_from_tiles() param_names_to_mask = {"plocs"}.union(set(self.keys())) tile_params_to_gather = {"plocs": plocs} - tile_params_to_gather.update(self) # add other params + tile_params_to_gather.update(self) params = {} indices_to_retrieve, is_on_array = self.get_indices_of_on_sources() diff --git a/case_studies/redshift/evaluation/dc2_plot.ipynb b/case_studies/redshift/evaluation/dc2_plot.ipynb index 3ec46669a..cf192259c 100644 --- a/case_studies/redshift/evaluation/dc2_plot.ipynb +++ b/case_studies/redshift/evaluation/dc2_plot.ipynb @@ -520,7 +520,7 @@ " Returns:\n", " Catalog that containing pred redshifts\n", " \"\"\"\n", - " true_mag = true_cat.magnitudes.to(device)\n", + " true_mag = true_cat.magnitudes_njy.to(device)\n", " new_order = [3, 0, 2, 1, 5, 4] # change giruyz to ugrizy\n", " true_mag = true_mag[..., new_order]\n", " true_is_galaxy = true_cat.galaxy_bools.to(device)\n", From 8c1a73114620820fa659c52ba410f69eac464639 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Thu, 18 Jul 2024 15:37:38 -0400 Subject: [PATCH 23/27] can run lsst prediction and evaluation --- .../redshift/evaluation/dc2_plot.ipynb | 7120 ++++++++++++++++- .../redshift/evaluation/notebook_plot.yaml | 42 +- .../redshift_from_img/encoder/metrics.py | 14 +- .../full_train_config_redshift.yaml | 6 +- 4 files changed, 6834 insertions(+), 348 deletions(-) diff --git a/case_studies/redshift/evaluation/dc2_plot.ipynb b/case_studies/redshift/evaluation/dc2_plot.ipynb index cf192259c..9b8d3da1f 100644 --- a/case_studies/redshift/evaluation/dc2_plot.ipynb +++ b/case_studies/redshift/evaluation/dc2_plot.ipynb @@ -14,7 +14,18 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -54,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -64,7 +75,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -73,68 +84,63 @@ "dataset.setup()\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# example of test dataset" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "len(dataset.image_ids())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "len(dataset.test_dataset)" - ] - }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ - "x = 0\n", - "for i in dataset.test_dataset:\n", - " x = i\n", - " break" + "import os\n", + "os.environ['OMP_NUM_THREADS'] = '16'\n", + "os.environ['MKL_NUM_THREADS'] = '16'\n", + "os.environ['NUMEXPR_NUM_THREADS'] = '16'" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "x['tile_catalog']['redshifts'].shape" + "# example of test dataset" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "245000" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "x[\"split_id\"]" + "len(dataset.image_ids())" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "24500" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "x[\"images\"].shape" + "len(dataset.test_dataset)" ] }, { @@ -146,7 +152,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -165,31 +171,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 383/383 [06:04<00:00, 1.05it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "total num of pts: tensor([54577., 29581., 10163., 5388., 3120., 15162.], device='cuda:0')\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], + "outputs": [], "source": [ "bliss_output_path = output_dir / \"bliss_output_all.pkl\"\n", "\n", @@ -208,69 +192,18 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'redshifts/bias_bin_0': -0.01940205879509449,\n", - " 'redshifts/bias_bin_1': -0.014454119838774204,\n", - " 'redshifts/bias_bin_2': -0.012397130951285362,\n", - " 'redshifts/bias_bin_3': -0.0178708266466856,\n", - " 'redshifts/bias_bin_4': -0.016601406037807465,\n", - " 'redshifts/bias_bin_5': -0.02073412574827671,\n", - " 'redshifts/mse_bin_0': 0.27121469378471375,\n", - " 'redshifts/mse_bin_1': 0.13976307213306427,\n", - " 'redshifts/mse_bin_2': 0.07524657994508743,\n", - " 'redshifts/mse_bin_3': 0.057453203946352005,\n", - " 'redshifts/mse_bin_4': 0.05058649182319641,\n", - " 'redshifts/mse_bin_5': 0.03236730396747589,\n", - " 'redshifts/nmad_bin_0': 0.18206419050693512,\n", - " 'redshifts/nmad_bin_1': 0.11283144354820251,\n", - " 'redshifts/nmad_bin_2': 0.07652566581964493,\n", - " 'redshifts/nmad_bin_3': 0.06236919015645981,\n", - " 'redshifts/nmad_bin_4': 0.0593399852514267,\n", - " 'redshifts/nmad_bin_5': 0.042008381336927414,\n", - " 'redshifts/outlier_fraction_bin_0': 0.4209282398223877,\n", - " 'redshifts/outlier_fraction_bin_1': 0.26364895701408386,\n", - " 'redshifts/outlier_fraction_bin_2': 0.15841779112815857,\n", - " 'redshifts/outlier_fraction_bin_3': 0.10374907404184341,\n", - " 'redshifts/outlier_fraction_bin_4': 0.08685897290706635,\n", - " 'redshifts/outlier_fraction_bin_5': 0.04629996046423912,\n", - " 'redshifts/outlier_fraction_cata_bin_0': 0.07691884785890579,\n", - " 'redshifts/outlier_fraction_cata_bin_1': 0.029275547713041306,\n", - " 'redshifts/outlier_fraction_cata_bin_2': 0.014562629163265228,\n", - " 'redshifts/outlier_fraction_cata_bin_3': 0.011692650616168976,\n", - " 'redshifts/outlier_fraction_cata_bin_4': 0.009615384973585606,\n", - " 'redshifts/outlier_fraction_cata_bin_5': 0.006529481615871191}" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "bliss_out_dict" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", "mse_values = [bliss_out_dict[f'redshifts/mse_bin_{i}'] for i in range(5)]\n", @@ -285,20 +218,9 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", "bias_values = [bliss_out_dict[f'redshifts/bias_bin_{i}'] for i in range(5)]\n", @@ -313,20 +235,9 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", "nmad_values = [bliss_out_dict[f'redshifts/nmad_bin_{i}'] for i in range(5)]\n", @@ -341,20 +252,9 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", "outlier_fraction_values = [bliss_out_dict[f'redshifts/outlier_fraction_bin_{i}'] for i in range(5)]\n", @@ -369,20 +269,9 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", "outlier_fraction_cata_values = [bliss_out_dict[f'redshifts/outlier_fraction_cata_bin_{i}'] for i in range(5)]\n", @@ -404,7 +293,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -423,7 +312,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -432,7 +321,7 @@ "batch_size = 1\n", "in_dim = 6\n", "device = \"cuda\"\n", - "path = \"/home/qiaozhih/bliss/case_studies/redshift/training_runs/00120-run/tensorboard_logs/version_0/checkpoints/reg_val_loss=0.000367_epoch=29.ckpt\"\n", + "path = \"/data/scratch/qiaozhih/training_runs/00120-run/tensorboard_logs/version_0/checkpoints/reg_val_loss=0.000367_epoch=29.ckpt\"\n", "network_options = {\n", " \"hidden_dim\": 256,\n", " \"out_dim\": num_bins,\n", @@ -451,7 +340,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -477,7 +366,7 @@ ")" ] }, - "execution_count": 21, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -506,36 +395,42 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "def est_redshifts_with_reg_change_to_cat(true_cat: TileCatalog, reg: PhotoZFromMag, tile_slen: int) -> BaseTileCatalog:\n", + "def est_redshifts_with_reg_change_to_cat(cat: TileCatalog, reg: PhotoZFromMag, tile_slen: int, min_flux_for_loss: int=50, reference_band: int=2) -> BaseTileCatalog | FullCatalog:\n", " \"\"\"estimate redshift by inputting true mag using regressor, then convert them to Basetilecatalog\n", "\n", " Args:\n", - " true_cat: true_catalog\n", + " cat: catalog\n", " reg: regressor that accept ugrizy mag\n", "\n", " Returns:\n", " Catalog that containing pred redshifts\n", " \"\"\"\n", - " true_mag = true_cat.magnitudes_njy.to(device)\n", + " cat = cat.filter_tile_catalog_by_flux(\n", + " min_flux=min_flux_for_loss,\n", + " band=reference_band,\n", + " )\n", + " mag = cat.magnitudes_njy.to(device)\n", " new_order = [3, 0, 2, 1, 5, 4] # change giruyz to ugrizy\n", - " true_mag = true_mag[..., new_order]\n", - " true_is_galaxy = true_cat.galaxy_bools.to(device)\n", - " N, H, W, M, _ = true_mag.shape\n", - " true_mag = true_mag.reshape(-1, 6)\n", - " true_is_galaxy = true_is_galaxy.reshape(-1, 1)\n", - " pred_rs = torch.zeros_like(true_mag[..., 0])\n", - " for i in range(len(true_mag)):\n", - " if true_is_galaxy[i][0]: \n", - " x = true_mag[i].unsqueeze(0) # 1, 6\n", + " mag = mag[..., new_order]\n", + " is_galaxy = cat.galaxy_bools.to(device)\n", + " N, H, W, M, _ = mag.shape\n", + " mag = mag.reshape(-1, 6)\n", + " is_galaxy = is_galaxy.reshape(-1, 1)\n", + " pred_rs = torch.zeros_like(mag[..., 0])\n", + " for i in range(len(mag)):\n", + " if is_galaxy[i][0]: \n", + " x = mag[i].unsqueeze(0) # 1, 6\n", " a = reg.net(x) # 1, 1\n", - " pred_rs[i] = reg.net(true_mag[i].unsqueeze(0)).squeeze(0)\n", + " pred_rs[i] = reg.net(mag[i].unsqueeze(0)).squeeze(0)\n", + " pred_rs = pred_rs.to(cat.device)\n", " pred_rs = {\"redshifts\": pred_rs.reshape((N, H, W, M, 1))}\n", "\n", - " return BaseTileCatalog(tile_slen=tile_slen, d=pred_rs)" + " cat[\"redshifts\"] = pred_rs[\"redshifts\"]\n", + " return cat" ] }, { @@ -547,31 +442,9 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 383/383 [06:24<00:00, 1.00s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "total num of pts: tensor([67468., 36486., 12573., 6674., 3875., 18732.])\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], + "outputs": [], "source": [ "gt_output_path = output_dir / \"gt_output_all.pkl\"\n", "if not gt_output_path.exists():\n", @@ -595,69 +468,18 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'redshifts/bias_bin_0': -0.01940205879509449,\n", - " 'redshifts/bias_bin_1': -0.014454119838774204,\n", - " 'redshifts/bias_bin_2': -0.012397130951285362,\n", - " 'redshifts/bias_bin_3': -0.0178708266466856,\n", - " 'redshifts/bias_bin_4': -0.016601406037807465,\n", - " 'redshifts/bias_bin_5': -0.02073412574827671,\n", - " 'redshifts/mse_bin_0': 0.27121469378471375,\n", - " 'redshifts/mse_bin_1': 0.13976307213306427,\n", - " 'redshifts/mse_bin_2': 0.07524657994508743,\n", - " 'redshifts/mse_bin_3': 0.057453203946352005,\n", - " 'redshifts/mse_bin_4': 0.05058649182319641,\n", - " 'redshifts/mse_bin_5': 0.03236730396747589,\n", - " 'redshifts/nmad_bin_0': 0.18206419050693512,\n", - " 'redshifts/nmad_bin_1': 0.11283144354820251,\n", - " 'redshifts/nmad_bin_2': 0.07652566581964493,\n", - " 'redshifts/nmad_bin_3': 0.06236919015645981,\n", - " 'redshifts/nmad_bin_4': 0.0593399852514267,\n", - " 'redshifts/nmad_bin_5': 0.042008381336927414,\n", - " 'redshifts/outlier_fraction_bin_0': 0.4209282398223877,\n", - " 'redshifts/outlier_fraction_bin_1': 0.26364895701408386,\n", - " 'redshifts/outlier_fraction_bin_2': 0.15841779112815857,\n", - " 'redshifts/outlier_fraction_bin_3': 0.10374907404184341,\n", - " 'redshifts/outlier_fraction_bin_4': 0.08685897290706635,\n", - " 'redshifts/outlier_fraction_bin_5': 0.04629996046423912,\n", - " 'redshifts/outlier_fraction_cata_bin_0': 0.07691884785890579,\n", - " 'redshifts/outlier_fraction_cata_bin_1': 0.029275547713041306,\n", - " 'redshifts/outlier_fraction_cata_bin_2': 0.014562629163265228,\n", - " 'redshifts/outlier_fraction_cata_bin_3': 0.011692650616168976,\n", - " 'redshifts/outlier_fraction_cata_bin_4': 0.009615384973585606,\n", - " 'redshifts/outlier_fraction_cata_bin_5': 0.006529481615871191}" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "bliss_out_dict" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "metrics = ['mse', 'nmad', 'outlier_fraction_cata', 'outlier_fraction', 'bias']\n", "fig, ax = plt.subplots(len(metrics), figsize=(10, 30))\n", @@ -679,49 +501,9 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'redshifts/bias_bin_0': 0.0008017609361559153,\n", - " 'redshifts/bias_bin_1': 0.0007119826623238623,\n", - " 'redshifts/bias_bin_2': 0.0007159098167903721,\n", - " 'redshifts/bias_bin_3': 0.0007279749261215329,\n", - " 'redshifts/bias_bin_4': 0.000599693797994405,\n", - " 'redshifts/bias_bin_5': 0.001286372309550643,\n", - " 'redshifts/mse_bin_0': 0.00013550283620133996,\n", - " 'redshifts/mse_bin_1': 0.00012056977720931172,\n", - " 'redshifts/mse_bin_2': 0.00011736601300071925,\n", - " 'redshifts/mse_bin_3': 0.00010382600157754496,\n", - " 'redshifts/mse_bin_4': 0.0001087068667402491,\n", - " 'redshifts/mse_bin_5': 0.00012679805513471365,\n", - " 'redshifts/nmad_bin_0': 0.0038930890150368214,\n", - " 'redshifts/nmad_bin_1': 0.004017178900539875,\n", - " 'redshifts/nmad_bin_2': 0.004218028858304024,\n", - " 'redshifts/nmad_bin_3': 0.0043058982118964195,\n", - " 'redshifts/nmad_bin_4': 0.004712411668151617,\n", - " 'redshifts/nmad_bin_5': 0.005075711291283369,\n", - " 'redshifts/outlier_fraction_bin_0': 0.0,\n", - " 'redshifts/outlier_fraction_bin_1': 0.0,\n", - " 'redshifts/outlier_fraction_bin_2': 0.0,\n", - " 'redshifts/outlier_fraction_bin_3': 0.0,\n", - " 'redshifts/outlier_fraction_bin_4': 0.0,\n", - " 'redshifts/outlier_fraction_bin_5': 0.0,\n", - " 'redshifts/outlier_fraction_cata_bin_0': 0.0,\n", - " 'redshifts/outlier_fraction_cata_bin_1': 0.0,\n", - " 'redshifts/outlier_fraction_cata_bin_2': 0.0,\n", - " 'redshifts/outlier_fraction_cata_bin_3': 0.0,\n", - " 'redshifts/outlier_fraction_cata_bin_4': 0.0,\n", - " 'redshifts/outlier_fraction_cata_bin_5': 0.0}" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "gt_out_dict" ] @@ -735,22 +517,6714 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ + "import GCRCatalogs\n", + "import pandas as pd\n", + "import torch\n", + "\n", + "from bliss.catalog import FullCatalog, SourceType\n", + "\n", "# load lsst data\n", - "lsst_full_cat = get_lsst_full_cat(lsst_root_dir=lsst_root_dir,\n", - " cur_image_wcs=cur_image_wcs,\n", - " image_lim=image_lim,\n", - " r_band_min_flux=r_band_min_flux,\n", - " device=device)" + "def get_lsst_catalog_tensors_dict(lsst_root_dir: str):\n", + " GCRCatalogs.set_root_dir(lsst_root_dir)\n", + " lsst_catalog_gcr = GCRCatalogs.load_catalog(\"desc_dc2_run2.2i_dr6_object_with_truth_match\")\n", + " lsst_catalog_sub = lsst_catalog_gcr.get_quantities(\n", + " [\n", + " \"id_truth\",\n", + " \"objectId\",\n", + " \"ra\",\n", + " \"dec\",\n", + " \"truth_type\",\n", + " \"cModelFlux_u\",\n", + " \"cModelFluxErr_u\",\n", + " \"cModelFlux_g\",\n", + " \"cModelFluxErr_g\",\n", + " \"cModelFlux_r\",\n", + " \"cModelFluxErr_r\",\n", + " \"cModelFlux_i\",\n", + " \"cModelFluxErr_i\",\n", + " \"cModelFlux_z\",\n", + " \"cModelFluxErr_z\",\n", + " \"cModelFlux_y\",\n", + " \"cModelFluxErr_y\",\n", + " ]\n", + " )\n", + " lsst_catalog_df = pd.DataFrame(lsst_catalog_sub)\n", + " lsst_flux_lst = [\n", + " lsst_catalog_df[\"cModelFlux_g\"],\n", + " lsst_catalog_df[\"cModelFlux_i\"],\n", + " lsst_catalog_df[\"cModelFlux_r\"],\n", + " lsst_catalog_df[\"cModelFlux_u\"],\n", + " lsst_catalog_df[\"cModelFlux_y\"],\n", + " lsst_catalog_df[\"cModelFlux_z\"],\n", + " ]\n", + " lsst_flux_tensors_lst = [torch.tensor(flux.values).view(-1, 1) for flux in lsst_flux_lst]\n", + " return {\n", + " \"truth_type\": torch.tensor(lsst_catalog_df[\"truth_type\"].values).view(-1, 1),\n", + " \"flux\": torch.cat(lsst_flux_tensors_lst, dim=1),\n", + " \"ra\": torch.tensor(lsst_catalog_df[\"ra\"].values),\n", + " \"dec\": torch.tensor(lsst_catalog_df[\"dec\"].values),\n", + " }\n", + " \n", + "def get_lsst_catalog_tensors_dict(lsst_root_dir: str):\n", + " GCRCatalogs.set_root_dir(lsst_root_dir)\n", + " lsst_catalog_gcr = GCRCatalogs.load_catalog(\"desc_dc2_run2.2i_dr6_object_with_truth_match\")\n", + " lsst_catalog_sub = lsst_catalog_gcr.get_quantities(\n", + " [\n", + " \"id_truth\",\n", + " \"objectId\",\n", + " \"ra\",\n", + " \"dec\",\n", + " \"truth_type\",\n", + " \"cModelFlux_u\",\n", + " \"cModelFluxErr_u\",\n", + " \"cModelFlux_g\",\n", + " \"cModelFluxErr_g\",\n", + " \"cModelFlux_r\",\n", + " \"cModelFluxErr_r\",\n", + " \"cModelFlux_i\",\n", + " \"cModelFluxErr_i\",\n", + " \"cModelFlux_z\",\n", + " \"cModelFluxErr_z\",\n", + " \"cModelFlux_y\",\n", + " \"cModelFluxErr_y\",\n", + " ]\n", + " )\n", + " lsst_catalog_df = pd.DataFrame(lsst_catalog_sub)\n", + " lsst_flux_lst = [\n", + " lsst_catalog_df[\"cModelFlux_g\"],\n", + " lsst_catalog_df[\"cModelFlux_i\"],\n", + " lsst_catalog_df[\"cModelFlux_r\"],\n", + " lsst_catalog_df[\"cModelFlux_u\"],\n", + " lsst_catalog_df[\"cModelFlux_y\"],\n", + " lsst_catalog_df[\"cModelFlux_z\"],\n", + " ]\n", + " lsst_flux_tensors_lst = [torch.tensor(flux.values).view(-1, 1) for flux in lsst_flux_lst]\n", + " return {\n", + " \"truth_type\": torch.tensor(lsst_catalog_df[\"truth_type\"].values).view(-1, 1),\n", + " \"flux\": torch.cat(lsst_flux_tensors_lst, dim=1),\n", + " \"ra\": torch.tensor(lsst_catalog_df[\"ra\"].values),\n", + " \"dec\": torch.tensor(lsst_catalog_df[\"dec\"].values),\n", + " }\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "\n", + "from bliss.catalog import FullCatalog, SourceType, TileCatalog\n", + "from bliss.surveys.dc2 import from_wcs_header_str_to_wcs\n", + "\n", + "def concatenate_tile_dicts(tile_dict_list):\n", + " output_tile_cat_dict = {}\n", + " for k in tile_dict_list[0].keys():\n", + " if k not in output_tile_cat_dict:\n", + " output_tile_cat_dict[k] = []\n", + " for tile_dict in tile_dict_list:\n", + " output_tile_cat_dict[k].append(tile_dict[k])\n", + "\n", + " for k, v in output_tile_cat_dict.items():\n", + " output_tile_cat_dict[k] = torch.cat(v, dim=0)\n", + "\n", + " return output_tile_cat_dict\n", + "\n", + "\n", + "class LSSTPredictor:\n", + " def __init__(\n", + " self, lsst_root_dir, r_band_min_flux, tile_slen, max_sources_per_tile, tiles_to_crop\n", + " ) -> None:\n", + " self.lsst_data = get_lsst_catalog_tensors_dict(lsst_root_dir)\n", + " self.r_band_min_flux = r_band_min_flux\n", + " self.tile_slen = tile_slen\n", + " self.max_sources_per_tile = max_sources_per_tile\n", + " self.tiles_to_crop = tiles_to_crop\n", + "\n", + " self.buffered_wcs_header_str = None\n", + " self.buffered_lsst_plocs = None\n", + "\n", + " def _predict_one_image(self, wcs_header_str, image_lim, height_index, width_index):\n", + " if wcs_header_str != self.buffered_wcs_header_str:\n", + " lsst_ra = self.lsst_data[\"ra\"]\n", + " lsst_dec = self.lsst_data[\"dec\"]\n", + " cur_image_wcs = from_wcs_header_str_to_wcs(wcs_header_str)\n", + " lsst_plocs = FullCatalog.plocs_from_ra_dec(lsst_ra, lsst_dec, cur_image_wcs)\n", + " self.buffered_wcs_header_str = wcs_header_str\n", + " self.buffered_lsst_plocs = lsst_plocs\n", + " else:\n", + " lsst_plocs = self.buffered_lsst_plocs\n", + " \n", + " lsst_source_type = self.lsst_data[\"truth_type\"]\n", + " lsst_flux = self.lsst_data[\"flux\"]\n", + "\n", + " x0_mask = (lsst_plocs[:, 0] > height_index * image_lim) & (\n", + " lsst_plocs[:, 0] < (height_index + 1) * image_lim\n", + " )\n", + " x1_mask = (lsst_plocs[:, 1] > width_index * image_lim) & (\n", + " lsst_plocs[:, 1] < (width_index + 1) * image_lim\n", + " )\n", + " lsst_x_mask = x0_mask * x1_mask\n", + " # filter r band\n", + " filter_band = [\"g\", \"i\", \"r\", \"u\", \"y\", \"z\"]\n", + " for i in range(len(filter_band)):\n", + " lsst_flux_mask = (lsst_flux[:, i] > self.r_band_min_flux) & (lsst_flux[:, i] < torch.inf)\n", + " lsst_x_mask = lsst_x_mask * lsst_flux_mask\n", + "\n", + " lsst_mask = lsst_x_mask\n", + " lsst_plocs = lsst_plocs[lsst_mask, :] % image_lim\n", + " lsst_source_type = torch.where(\n", + " lsst_source_type[lsst_mask] == SourceType.STAR, SourceType.STAR, SourceType.GALAXY\n", + " )\n", + " lsst_flux = lsst_flux[lsst_mask, :]\n", + " lsst_n_sources = torch.tensor([lsst_plocs.shape[0]])\n", + "\n", + " return FullCatalog(\n", + " height=image_lim,\n", + " width=image_lim,\n", + " d={\n", + " \"plocs\": lsst_plocs.unsqueeze(0),\n", + " \"n_sources\": lsst_n_sources,\n", + " \"source_type\": lsst_source_type.unsqueeze(0),\n", + " \"galaxy_fluxes\": lsst_flux.unsqueeze(0),\n", + " \"star_fluxes\": lsst_flux.unsqueeze(0).clone(),\n", + " },\n", + " ).to_tile_catalog(self.tile_slen, self.max_sources_per_tile, ignore_extra_sources=True)\n", + "\n", + " def predict(self, wcs_header_str_list, image_lim, height_index_list, width_index_list):\n", + " assert len(wcs_header_str_list) == len(height_index_list), \"unequal input list size\"\n", + " assert len(wcs_header_str_list) == len(width_index_list), \"unequal input list size\"\n", + " tile_dict_list = []\n", + " predict_input_data = zip(wcs_header_str_list, height_index_list, width_index_list)\n", + " for wcs_header_str, height_index, width_index in predict_input_data:\n", + " tile_dict_list.append(\n", + " self._predict_one_image(wcs_header_str, image_lim, height_index, width_index).data\n", + " )\n", + "\n", + " merged_tile_dict = concatenate_tile_dicts(tile_dict_list)\n", + " return TileCatalog(self.tile_slen, merged_tile_dict)" ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "lsst_output_path = output_dir / \"lsst_output_all.pkl\"\n", + "if not lsst_output_path.exists():\n", + " metrics = instantiate(notebook_cfg.encoder.metrics)\n", + " matcher = instantiate(notebook_cfg.encoder.matcher)\n", + " metrics.reset()\n", + " # args\n", + " lsst_root_dir = \"/data/scratch/dc2_nfs/\"\n", + " image_lim = 80\n", + " r_band_min_flux = 50\n", + " tile_slen = 4\n", + " max_sources_per_tile = 1\n", + " tiles_to_crop = 1\n", + "\n", + " lsst_predictor = LSSTPredictor(lsst_root_dir, r_band_min_flux, tile_slen, max_sources_per_tile, tiles_to_crop)\n", + " for batch_idx, batch in tqdm(enumerate(dataset.val_dataloader()), total=len(dataset.test_dataloader())):\n", + " true_cat = TileCatalog(tile_slen=4, d=batch[\"tile_catalog\"])\n", + " lsst_cat = lsst_predictor.predict(batch[\"wcs_header_str\"], image_lim, batch[\"image_height_index\"], batch[\"image_width_index\"])\n", + " lsst_cat = lsst_cat.to_full_catalog()\n", + " est_cat = est_redshifts_with_reg_change_to_cat(lsst_cat, reg, tile_slen=4)\n", + " matching = matcher.match_catalogs(true_cat, est_cat)\n", + " metrics.update(true_cat, est_cat, matching)\n", + "\n", + " lsst_out_dict = metrics.compute()\n", + "\n", + " with open(lsst_output_path, \"wb\") as outp: # Overwrites any existing file.\n", + " pickle.dump(lsst_out_dict, outp, pickle.HIGHEST_PROTOCOL)\n", + "else:\n", + " with open(lsst_output_path, \"rb\") as inputp:\n", + " lsst_out_dict = pickle.load(inputp)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 2%|▏ | 6/383 [04:12<6:42:31, 64.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([1220.])\n", + "{'redshifts/mse': 0.2829994857311249}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 2%|▏ | 7/383 [07:38<10:38:29, 101.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([1405.])\n", + "{'redshifts/mse': 0.2839999794960022}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 2%|▏ | 8/383 [11:27<14:15:18, 136.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([1613.])\n", + "{'redshifts/mse': 0.28922975063323975}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 2%|▏ | 9/383 [15:04<16:34:28, 159.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([1817.])\n", + "{'redshifts/mse': 0.29322031140327454}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 3%|▎ | 10/383 [18:24<17:44:20, 171.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([2017.])\n", + "{'redshifts/mse': 0.2950949966907501}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 3%|▎ | 11/383 [21:41<18:29:04, 178.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([2203.])\n", + "{'redshifts/mse': 0.28720027208328247}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 3%|▎ | 12/383 [25:13<19:24:46, 188.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([2401.])\n", + "{'redshifts/mse': 0.2854820787906647}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 3%|▎ | 13/383 [28:40<19:57:13, 194.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([2604.])\n", + "{'redshifts/mse': 0.2850421369075775}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 4%|▎ | 14/383 [32:10<20:21:28, 198.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([2804.])\n", + "{'redshifts/mse': 0.2759419083595276}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 4%|▍ | 15/383 [35:43<20:45:08, 203.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([3004.])\n", + "{'redshifts/mse': 0.2769933342933655}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 4%|▍ | 16/383 [39:08<20:45:47, 203.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([3182.])\n", + "{'redshifts/mse': 0.27461814880371094}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 4%|▍ | 17/383 [42:35<20:47:49, 204.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([3370.])\n", + "{'redshifts/mse': 0.2775980234146118}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 5%|▍ | 18/383 [46:08<21:00:02, 207.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([3579.])\n", + "{'redshifts/mse': 0.27918562293052673}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 5%|▍ | 19/383 [49:43<21:11:17, 209.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([3751.])\n", + "{'redshifts/mse': 0.2762680947780609}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 5%|▌ | 20/383 [53:14<21:09:36, 209.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([3960.])\n", + "{'redshifts/mse': 0.27258771657943726}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 5%|▌ | 21/383 [56:45<21:08:16, 210.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([4167.])\n", + "{'redshifts/mse': 0.2704818546772003}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 6%|▌ | 22/383 [1:00:18<21:10:45, 211.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([4358.])\n", + "{'redshifts/mse': 0.271992951631546}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 6%|▌ | 23/383 [1:03:46<21:00:24, 210.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([4548.])\n", + "{'redshifts/mse': 0.27400505542755127}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 6%|▋ | 24/383 [1:07:15<20:54:30, 209.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([4742.])\n", + "{'redshifts/mse': 0.2718529999256134}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 7%|▋ | 25/383 [1:10:47<20:56:33, 210.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([4950.])\n", + "{'redshifts/mse': 0.27389198541641235}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 7%|▋ | 26/383 [1:14:08<20:36:09, 207.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([5141.])\n", + "{'redshifts/mse': 0.2767364978790283}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 7%|▋ | 27/383 [1:17:34<20:29:38, 207.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([5351.])\n", + "{'redshifts/mse': 0.27592378854751587}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 7%|▋ | 28/383 [1:20:55<20:14:37, 205.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([5535.])\n", + "{'redshifts/mse': 0.2757168412208557}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 8%|▊ | 29/383 [1:24:24<20:17:42, 206.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([5714.])\n", + "{'redshifts/mse': 0.2731398940086365}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 8%|▊ | 30/383 [1:28:00<20:31:27, 209.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([5922.])\n", + "{'redshifts/mse': 0.2731919586658478}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 8%|▊ | 31/383 [1:31:34<20:35:53, 210.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([6117.])\n", + "{'redshifts/mse': 0.27404195070266724}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 8%|▊ | 32/383 [1:35:02<20:26:52, 209.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([6303.])\n", + "{'redshifts/mse': 0.27350279688835144}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 9%|▊ | 33/383 [1:38:29<20:19:49, 209.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([6484.])\n", + "{'redshifts/mse': 0.2762101888656616}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 9%|▉ | 34/383 [1:41:16<19:02:41, 196.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([6689.])\n", + "{'redshifts/mse': 0.2766212522983551}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 9%|▉ | 35/383 [1:43:52<17:48:43, 184.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([6885.])\n", + "{'redshifts/mse': 0.27558615803718567}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 9%|▉ | 36/383 [1:46:29<16:59:00, 176.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([7107.])\n", + "{'redshifts/mse': 0.2749757468700409}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 10%|▉ | 37/383 [1:49:10<16:28:33, 171.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([7307.])\n", + "{'redshifts/mse': 0.2736644148826599}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 10%|▉ | 38/383 [1:51:42<15:52:08, 165.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([7466.])\n", + "{'redshifts/mse': 0.273353636264801}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 10%|█ | 39/383 [1:54:19<15:35:38, 163.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([7672.])\n", + "{'redshifts/mse': 0.27207791805267334}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 10%|█ | 40/383 [1:56:58<15:26:01, 161.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([7871.])\n", + "{'redshifts/mse': 0.2715124487876892}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 11%|█ | 41/383 [1:59:35<15:13:33, 160.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([8080.])\n", + "{'redshifts/mse': 0.2706906795501709}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 11%|█ | 42/383 [2:02:08<14:58:21, 158.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([8260.])\n", + "{'redshifts/mse': 0.2720809578895569}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 11%|█ | 43/383 [2:04:41<14:48:31, 156.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([8450.])\n", + "{'redshifts/mse': 0.2741279602050781}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 11%|█▏ | 44/383 [2:07:22<14:51:54, 157.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([8674.])\n", + "{'redshifts/mse': 0.2760537564754486}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 12%|█▏ | 45/383 [2:10:00<14:49:26, 157.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([8863.])\n", + "{'redshifts/mse': 0.2760542929172516}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 12%|█▏ | 46/383 [2:12:41<14:52:00, 158.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([9043.])\n", + "{'redshifts/mse': 0.27582424879074097}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 12%|█▏ | 47/383 [2:15:17<14:45:13, 158.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([9224.])\n", + "{'redshifts/mse': 0.2763923406600952}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 13%|█▎ | 48/383 [2:17:56<14:44:08, 158.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([9428.])\n", + "{'redshifts/mse': 0.2783355414867401}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 13%|█▎ | 49/383 [2:20:34<14:40:00, 158.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([9629.])\n", + "{'redshifts/mse': 0.27730461955070496}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 13%|█▎ | 50/383 [2:23:14<14:40:27, 158.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([9827.])\n", + "{'redshifts/mse': 0.2763218581676483}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 13%|█▎ | 51/383 [2:25:48<14:30:37, 157.34s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([10016.])\n", + "{'redshifts/mse': 0.2763940691947937}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 14%|█▎ | 52/383 [2:28:23<14:24:10, 156.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([10224.])\n", + "{'redshifts/mse': 0.2774251401424408}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 14%|█▍ | 53/383 [2:30:55<14:13:38, 155.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([10414.])\n", + "{'redshifts/mse': 0.275399774312973}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 14%|█▍ | 54/383 [2:33:31<14:12:51, 155.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([10596.])\n", + "{'redshifts/mse': 0.2770192325115204}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 14%|█▍ | 55/383 [2:36:07<14:11:03, 155.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([10778.])\n", + "{'redshifts/mse': 0.27683141827583313}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 15%|█▍ | 56/383 [2:38:47<14:14:57, 156.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([10975.])\n", + "{'redshifts/mse': 0.27752697467803955}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 15%|█▍ | 57/383 [2:41:28<14:20:17, 158.34s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([11158.])\n", + "{'redshifts/mse': 0.27785077691078186}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 15%|█▌ | 58/383 [2:44:05<14:14:34, 157.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([11338.])\n", + "{'redshifts/mse': 0.27709847688674927}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 15%|█▌ | 59/383 [2:46:42<14:10:27, 157.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([11543.])\n", + "{'redshifts/mse': 0.27692925930023193}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 16%|█▌ | 60/383 [2:49:21<14:10:40, 158.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([11734.])\n", + "{'redshifts/mse': 0.27648234367370605}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 16%|█▌ | 61/383 [2:52:03<14:14:31, 159.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([11916.])\n", + "{'redshifts/mse': 0.2762136459350586}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 16%|█▌ | 62/383 [2:54:42<14:11:00, 159.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([12103.])\n", + "{'redshifts/mse': 0.2754592001438141}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 16%|█▋ | 63/383 [2:57:18<14:04:34, 158.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([12287.])\n", + "{'redshifts/mse': 0.27367785573005676}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 17%|█▋ | 64/383 [2:59:53<13:55:53, 157.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([12486.])\n", + "{'redshifts/mse': 0.27682745456695557}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 17%|█▋ | 65/383 [3:02:28<13:50:29, 156.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([12653.])\n", + "{'redshifts/mse': 0.2767159938812256}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 17%|█▋ | 66/383 [3:05:06<13:49:09, 156.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([12844.])\n", + "{'redshifts/mse': 0.27705514430999756}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 17%|█▋ | 67/383 [3:07:45<13:49:48, 157.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([13028.])\n", + "{'redshifts/mse': 0.2759016454219818}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 18%|█▊ | 68/383 [3:10:21<13:45:05, 157.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([13214.])\n", + "{'redshifts/mse': 0.2755977213382721}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 18%|█▊ | 69/383 [3:13:01<13:47:03, 158.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([13402.])\n", + "{'redshifts/mse': 0.274779736995697}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 18%|█▊ | 70/383 [3:15:38<13:42:31, 157.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([13593.])\n", + "{'redshifts/mse': 0.27404719591140747}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 19%|█▊ | 71/383 [3:18:16<13:39:48, 157.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([13774.])\n", + "{'redshifts/mse': 0.2744234502315521}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 19%|█▉ | 72/383 [3:20:54<13:38:15, 157.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([13961.])\n", + "{'redshifts/mse': 0.27402982115745544}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 19%|█▉ | 73/383 [3:23:32<13:36:29, 158.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([14155.])\n", + "{'redshifts/mse': 0.27483895421028137}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 19%|█▉ | 74/383 [3:26:05<13:25:51, 156.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([14352.])\n", + "{'redshifts/mse': 0.27365055680274963}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 20%|█▉ | 75/383 [3:28:42<13:23:05, 156.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([14562.])\n", + "{'redshifts/mse': 0.27314701676368713}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 20%|█▉ | 76/383 [3:31:19<13:21:41, 156.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([14772.])\n", + "{'redshifts/mse': 0.27415546774864197}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 20%|██ | 77/383 [3:33:52<13:14:18, 155.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([14960.])\n", + "{'redshifts/mse': 0.2733745574951172}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 20%|██ | 78/383 [3:36:25<13:07:00, 154.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([15164.])\n", + "{'redshifts/mse': 0.27255457639694214}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 21%|██ | 79/383 [3:38:57<13:00:25, 154.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([15368.])\n", + "{'redshifts/mse': 0.2720263600349426}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 21%|██ | 80/383 [3:41:30<12:56:23, 153.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([15543.])\n", + "{'redshifts/mse': 0.2728593051433563}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 21%|██ | 81/383 [3:44:05<12:54:56, 153.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([15740.])\n", + "{'redshifts/mse': 0.2717433571815491}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 21%|██▏ | 82/383 [3:46:38<12:50:56, 153.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([15940.])\n", + "{'redshifts/mse': 0.27268296480178833}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 22%|██▏ | 83/383 [3:49:08<12:42:38, 152.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([16154.])\n", + "{'redshifts/mse': 0.2724474370479584}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 22%|██▏ | 84/383 [3:51:41<12:40:37, 152.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([16335.])\n", + "{'redshifts/mse': 0.27178680896759033}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 22%|██▏ | 85/383 [3:54:12<12:35:38, 152.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([16521.])\n", + "{'redshifts/mse': 0.27168917655944824}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 22%|██▏ | 86/383 [3:56:41<12:28:53, 151.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([16705.])\n", + "{'redshifts/mse': 0.27365842461586}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 23%|██▎ | 87/383 [3:59:15<12:30:44, 152.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([16885.])\n", + "{'redshifts/mse': 0.27360573410987854}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 23%|██▎ | 88/383 [4:01:46<12:26:50, 151.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([17083.])\n", + "{'redshifts/mse': 0.2734867334365845}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 23%|██▎ | 89/383 [4:04:14<12:18:25, 150.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([17271.])\n", + "{'redshifts/mse': 0.2740374207496643}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 23%|██▎ | 90/383 [4:06:46<12:17:21, 150.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([17475.])\n", + "{'redshifts/mse': 0.2732391953468323}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 24%|██▍ | 91/383 [4:09:18<12:15:41, 151.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([17641.])\n", + "{'redshifts/mse': 0.2733822762966156}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 24%|██▍ | 92/383 [4:11:50<12:15:20, 151.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([17845.])\n", + "{'redshifts/mse': 0.27414247393608093}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 24%|██▍ | 93/383 [4:14:27<12:20:04, 153.12s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([18027.])\n", + "{'redshifts/mse': 0.2736857533454895}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▍ | 94/383 [4:16:58<12:15:01, 152.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([18214.])\n", + "{'redshifts/mse': 0.2756184935569763}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▍ | 95/383 [4:19:29<12:09:06, 151.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([18414.])\n", + "{'redshifts/mse': 0.27508309483528137}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▌ | 96/383 [4:22:04<12:11:51, 153.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([18609.])\n", + "{'redshifts/mse': 0.2748367190361023}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▌ | 97/383 [4:24:37<12:08:46, 152.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([18778.])\n", + "{'redshifts/mse': 0.27507245540618896}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 98/383 [4:27:05<11:59:01, 151.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([18953.])\n", + "{'redshifts/mse': 0.27435043454170227}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 99/383 [4:29:42<12:05:02, 153.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([19134.])\n", + "{'redshifts/mse': 0.27453646063804626}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 100/383 [4:32:17<12:04:28, 153.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([19318.])\n", + "{'redshifts/mse': 0.27529585361480713}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▋ | 101/383 [4:34:48<11:58:46, 152.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([19504.])\n", + "{'redshifts/mse': 0.2762150764465332}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 102/383 [4:37:21<11:56:25, 152.97s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([19706.])\n", + "{'redshifts/mse': 0.276243656873703}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 103/383 [4:39:52<11:50:55, 152.34s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([19888.])\n", + "{'redshifts/mse': 0.2757378816604614}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 104/383 [4:42:22<11:45:08, 151.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([20102.])\n", + "{'redshifts/mse': 0.2746131122112274}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 105/383 [4:44:50<11:38:23, 150.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([20289.])\n", + "{'redshifts/mse': 0.27430376410484314}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 106/383 [4:47:26<11:42:49, 152.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([20512.])\n", + "{'redshifts/mse': 0.27424904704093933}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 107/383 [4:49:57<11:37:51, 151.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([20720.])\n", + "{'redshifts/mse': 0.27474766969680786}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 108/383 [4:52:32<11:40:10, 152.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([20903.])\n", + "{'redshifts/mse': 0.27472421526908875}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 109/383 [4:55:03<11:35:25, 152.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([21114.])\n", + "{'redshifts/mse': 0.27431511878967285}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▊ | 110/383 [4:57:37<11:34:40, 152.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([21315.])\n", + "{'redshifts/mse': 0.27374327182769775}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 111/383 [5:00:15<11:39:43, 154.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([21496.])\n", + "{'redshifts/mse': 0.27307993173599243}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 112/383 [5:03:31<12:33:19, 166.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([21684.])\n", + "{'redshifts/mse': 0.2731064260005951}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|██▉ | 113/383 [5:06:20<12:33:29, 167.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([21870.])\n", + "{'redshifts/mse': 0.27326273918151855}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|██▉ | 114/383 [5:08:59<12:19:59, 165.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([22063.])\n", + "{'redshifts/mse': 0.27285948395729065}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|███ | 115/383 [5:11:41<12:13:17, 164.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([22240.])\n", + "{'redshifts/mse': 0.27333468198776245}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|███ | 116/383 [5:14:39<12:28:32, 168.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([22450.])\n", + "{'redshifts/mse': 0.2741289436817169}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 117/383 [5:17:30<12:29:33, 169.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([22644.])\n", + "{'redshifts/mse': 0.2747633755207062}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 118/383 [5:20:48<13:05:31, 177.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([22854.])\n", + "{'redshifts/mse': 0.27510568499565125}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 119/383 [5:23:20<12:28:30, 170.12s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([23040.])\n", + "{'redshifts/mse': 0.2747151553630829}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███▏ | 120/383 [5:25:51<11:59:56, 164.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([23219.])\n", + "{'redshifts/mse': 0.2752317786216736}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 121/383 [5:28:26<11:44:29, 161.33s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([23421.])\n", + "{'redshifts/mse': 0.2745645344257355}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 122/383 [5:31:01<11:33:51, 159.51s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([23612.])\n", + "{'redshifts/mse': 0.27451467514038086}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 123/383 [5:33:38<11:27:57, 158.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([23799.])\n", + "{'redshifts/mse': 0.2749808728694916}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 124/383 [5:36:11<11:18:27, 157.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24009.])\n", + "{'redshifts/mse': 0.2760658860206604}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 125/383 [5:38:58<11:27:44, 159.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24179.])\n", + "{'redshifts/mse': 0.27623042464256287}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 126/383 [5:41:53<11:44:47, 164.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24368.])\n", + "{'redshifts/mse': 0.2757148742675781}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 127/383 [5:44:31<11:33:58, 162.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24557.])\n", + "{'redshifts/mse': 0.2755697965621948}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 128/383 [5:47:27<11:48:15, 166.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24738.])\n", + "{'redshifts/mse': 0.2770693898200989}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▎ | 129/383 [5:51:16<13:04:45, 185.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24914.])\n", + "{'redshifts/mse': 0.27674034237861633}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 130/383 [5:54:46<13:32:31, 192.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25099.])\n", + "{'redshifts/mse': 0.2765654921531677}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 131/383 [5:57:33<12:56:54, 184.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25286.])\n", + "{'redshifts/mse': 0.2764308452606201}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 132/383 [6:00:25<12:37:59, 181.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25461.])\n", + "{'redshifts/mse': 0.27621832489967346}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▍ | 133/383 [6:03:28<12:37:22, 181.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25670.])\n", + "{'redshifts/mse': 0.2762337327003479}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▍ | 134/383 [6:06:12<12:11:23, 176.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25858.])\n", + "{'redshifts/mse': 0.2766938805580139}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▌ | 135/383 [6:09:11<12:11:41, 177.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26046.])\n", + "{'redshifts/mse': 0.27712708711624146}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 136/383 [6:12:05<12:05:30, 176.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26238.])\n", + "{'redshifts/mse': 0.2766481935977936}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 137/383 [6:14:49<11:47:16, 172.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26439.])\n", + "{'redshifts/mse': 0.27619150280952454}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 138/383 [6:17:34<11:35:03, 170.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26625.])\n", + "{'redshifts/mse': 0.276684433221817}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▋ | 139/383 [6:20:08<11:12:44, 165.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26812.])\n", + "{'redshifts/mse': 0.27686211466789246}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 140/383 [6:23:12<11:32:55, 171.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27017.])\n", + "{'redshifts/mse': 0.2771953046321869}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 141/383 [6:25:57<11:22:47, 169.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27226.])\n", + "{'redshifts/mse': 0.27676403522491455}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 142/383 [6:28:52<11:25:53, 170.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27444.])\n", + "{'redshifts/mse': 0.27737748622894287}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 143/383 [6:31:58<11:41:34, 175.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27612.])\n", + "{'redshifts/mse': 0.27713146805763245}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 144/383 [6:35:02<11:49:01, 178.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27838.])\n", + "{'redshifts/mse': 0.27673813700675964}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 145/383 [6:37:46<11:29:52, 173.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28030.])\n", + "{'redshifts/mse': 0.2775000035762787}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 146/383 [6:40:40<11:26:36, 173.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28209.])\n", + "{'redshifts/mse': 0.2771627902984619}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 147/383 [6:43:28<11:17:12, 172.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28403.])\n", + "{'redshifts/mse': 0.27675527334213257}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▊ | 148/383 [6:46:34<11:29:57, 176.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28572.])\n", + "{'redshifts/mse': 0.2766258716583252}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 149/383 [6:49:37<11:35:33, 178.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28780.])\n", + "{'redshifts/mse': 0.2762463390827179}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 150/383 [6:52:29<11:25:13, 176.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28987.])\n", + "{'redshifts/mse': 0.27630263566970825}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 151/383 [6:55:10<11:03:47, 171.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29165.])\n", + "{'redshifts/mse': 0.2762867212295532}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|███▉ | 152/383 [6:58:02<11:01:17, 171.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29355.])\n", + "{'redshifts/mse': 0.2764818072319031}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|███▉ | 153/383 [7:00:45<10:48:31, 169.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29565.])\n", + "{'redshifts/mse': 0.27749279141426086}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|████ | 154/383 [7:03:35<10:47:16, 169.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29752.])\n", + "{'redshifts/mse': 0.27785423398017883}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|████ | 155/383 [7:06:42<11:03:44, 174.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29918.])\n", + "{'redshifts/mse': 0.2780396640300751}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 156/383 [7:09:31<10:54:27, 172.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30142.])\n", + "{'redshifts/mse': 0.27855461835861206}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 157/383 [7:12:20<10:47:26, 171.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30339.])\n", + "{'redshifts/mse': 0.2788507342338562}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████▏ | 158/383 [7:16:07<11:46:33, 188.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30552.])\n", + "{'redshifts/mse': 0.27823010087013245}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 159/383 [7:19:15<11:42:31, 188.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30726.])\n", + "{'redshifts/mse': 0.27867305278778076}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 160/383 [7:22:21<11:36:56, 187.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30904.])\n", + "{'redshifts/mse': 0.27827659249305725}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 161/383 [7:26:07<12:17:04, 199.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31079.])\n", + "{'redshifts/mse': 0.27782294154167175}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 162/383 [7:29:40<12:28:51, 203.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31279.])\n", + "{'redshifts/mse': 0.27805331349372864}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 163/383 [7:32:59<12:20:26, 201.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31478.])\n", + "{'redshifts/mse': 0.277985543012619}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 164/383 [7:36:42<12:40:25, 208.33s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31697.])\n", + "{'redshifts/mse': 0.2777807414531708}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 165/383 [7:39:57<12:22:45, 204.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31885.])\n", + "{'redshifts/mse': 0.27793216705322266}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 166/383 [7:43:02<11:58:08, 198.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32077.])\n", + "{'redshifts/mse': 0.27792343497276306}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▎ | 167/383 [7:46:27<12:01:35, 200.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32295.])\n", + "{'redshifts/mse': 0.27813559770584106}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 168/383 [7:49:44<11:54:08, 199.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32480.])\n", + "{'redshifts/mse': 0.27855950593948364}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 169/383 [7:53:01<11:48:43, 198.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32671.])\n", + "{'redshifts/mse': 0.2786380648612976}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 170/383 [7:56:06<11:31:10, 194.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32887.])\n", + "{'redshifts/mse': 0.2785065174102783}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▍ | 171/383 [7:58:56<11:01:39, 187.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33060.])\n", + "{'redshifts/mse': 0.2782737612724304}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▍ | 172/383 [8:01:43<10:36:19, 180.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33270.])\n", + "{'redshifts/mse': 0.27848848700523376}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▌ | 173/383 [8:04:29<10:18:24, 176.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33483.])\n", + "{'redshifts/mse': 0.27831339836120605}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▌ | 174/383 [8:07:19<10:08:04, 174.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33686.])\n", + "{'redshifts/mse': 0.2778158187866211}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 175/383 [8:10:28<10:19:49, 178.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33904.])\n", + "{'redshifts/mse': 0.2779826521873474}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 176/383 [8:13:16<10:06:10, 175.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34091.])\n", + "{'redshifts/mse': 0.27767542004585266}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 177/383 [8:15:53<9:44:17, 170.18s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34282.])\n", + "{'redshifts/mse': 0.2773036062717438}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▋ | 178/383 [8:18:32<9:30:07, 166.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34480.])\n", + "{'redshifts/mse': 0.2776397466659546}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 179/383 [8:21:35<9:43:05, 171.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34659.])\n", + "{'redshifts/mse': 0.277694970369339}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 180/383 [8:24:30<9:44:17, 172.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34860.])\n", + "{'redshifts/mse': 0.2775800824165344}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 181/383 [8:27:20<9:38:43, 171.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35070.])\n", + "{'redshifts/mse': 0.27738621830940247}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 182/383 [8:29:57<9:20:27, 167.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35273.])\n", + "{'redshifts/mse': 0.2774305045604706}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 183/383 [8:32:43<9:16:41, 167.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35475.])\n", + "{'redshifts/mse': 0.2776359021663666}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 184/383 [8:35:24<9:07:57, 165.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35684.])\n", + "{'redshifts/mse': 0.27794528007507324}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 185/383 [8:38:01<8:57:02, 162.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35898.])\n", + "{'redshifts/mse': 0.27842745184898376}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▊ | 186/383 [8:40:43<8:53:31, 162.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36112.])\n", + "{'redshifts/mse': 0.2783653736114502}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 187/383 [8:43:24<8:49:31, 162.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36322.])\n", + "{'redshifts/mse': 0.27874600887298584}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 188/383 [8:46:10<8:50:19, 163.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36524.])\n", + "{'redshifts/mse': 0.2787007689476013}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 189/383 [8:48:47<8:41:40, 161.34s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36707.])\n", + "{'redshifts/mse': 0.27902624011039734}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|████▉ | 190/383 [8:51:23<8:33:21, 159.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36889.])\n", + "{'redshifts/mse': 0.27914342284202576}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|████▉ | 191/383 [8:53:56<8:24:51, 157.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37066.])\n", + "{'redshifts/mse': 0.2793019413948059}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|█████ | 192/383 [8:56:33<8:20:59, 157.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37252.])\n", + "{'redshifts/mse': 0.2793755531311035}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|█████ | 193/383 [8:59:13<8:21:20, 158.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37436.])\n", + "{'redshifts/mse': 0.2794560492038727}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 194/383 [9:02:03<8:29:52, 161.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37636.])\n", + "{'redshifts/mse': 0.2794688940048218}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 195/383 [9:04:45<8:26:56, 161.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37850.])\n", + "{'redshifts/mse': 0.2795233726501465}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 196/383 [9:07:31<8:28:44, 163.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38056.])\n", + "{'redshifts/mse': 0.27924251556396484}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████▏ | 197/383 [9:10:15<8:26:27, 163.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38238.])\n", + "{'redshifts/mse': 0.2790345251560211}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 198/383 [9:12:57<8:22:00, 162.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38440.])\n", + "{'redshifts/mse': 0.2791990637779236}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 199/383 [9:15:45<8:24:39, 164.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38608.])\n", + "{'redshifts/mse': 0.27913007140159607}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 200/383 [9:18:48<8:38:43, 170.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38820.])\n", + "{'redshifts/mse': 0.2793092727661133}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 201/383 [9:21:31<8:29:40, 168.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39029.])\n", + "{'redshifts/mse': 0.2788919508457184}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 202/383 [9:24:09<8:17:02, 164.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39219.])\n", + "{'redshifts/mse': 0.2791582942008972}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 203/383 [9:26:48<8:09:44, 163.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39419.])\n", + "{'redshifts/mse': 0.2791384160518646}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 204/383 [9:29:26<8:02:11, 161.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39622.])\n", + "{'redshifts/mse': 0.2792584002017975}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▎ | 205/383 [9:32:07<7:58:25, 161.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39797.])\n", + "{'redshifts/mse': 0.27913469076156616}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 206/383 [9:34:44<7:52:23, 160.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39981.])\n", + "{'redshifts/mse': 0.27928367257118225}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 207/383 [9:37:34<7:58:23, 163.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40159.])\n", + "{'redshifts/mse': 0.2797401547431946}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 208/383 [9:40:28<8:04:46, 166.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40354.])\n", + "{'redshifts/mse': 0.2798706889152527}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▍ | 209/383 [9:43:22<8:08:47, 168.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40526.])\n", + "{'redshifts/mse': 0.2798321843147278}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▍ | 210/383 [9:46:04<8:00:45, 166.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40705.])\n", + "{'redshifts/mse': 0.28043144941329956}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▌ | 211/383 [9:48:52<7:58:36, 166.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40919.])\n", + "{'redshifts/mse': 0.28044095635414124}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▌ | 212/383 [9:51:34<7:51:58, 165.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41131.])\n", + "{'redshifts/mse': 0.2807062566280365}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 213/383 [9:54:17<7:47:10, 164.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41324.])\n", + "{'redshifts/mse': 0.2808399200439453}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 214/383 [9:56:56<7:39:10, 163.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41510.])\n", + "{'redshifts/mse': 0.28068336844444275}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 215/383 [9:59:34<7:32:36, 161.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41705.])\n", + "{'redshifts/mse': 0.28094589710235596}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▋ | 216/383 [10:02:08<7:22:58, 159.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41900.])\n", + "{'redshifts/mse': 0.28107452392578125}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 217/383 [10:04:58<7:29:54, 162.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42106.])\n", + "{'redshifts/mse': 0.28156688809394836}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 218/383 [10:07:41<7:27:35, 162.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42306.])\n", + "{'redshifts/mse': 0.2816145122051239}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 219/383 [10:10:14<7:16:38, 159.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42518.])\n", + "{'redshifts/mse': 0.28143319487571716}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 220/383 [10:12:51<7:11:22, 158.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42713.])\n", + "{'redshifts/mse': 0.28130054473876953}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 221/383 [10:15:32<7:10:30, 159.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42916.])\n", + "{'redshifts/mse': 0.28097638487815857}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 222/383 [10:18:25<7:18:50, 163.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43106.])\n", + "{'redshifts/mse': 0.2807941138744354}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 223/383 [10:21:10<7:17:24, 164.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43315.])\n", + "{'redshifts/mse': 0.2808741331100464}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 224/383 [10:23:53<7:13:51, 163.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43497.])\n", + "{'redshifts/mse': 0.28110814094543457}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▊ | 225/383 [10:26:41<7:14:16, 164.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43678.])\n", + "{'redshifts/mse': 0.2814843952655792}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 226/383 [10:29:19<7:06:21, 162.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43874.])\n", + "{'redshifts/mse': 0.28120169043540955}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 227/383 [10:32:06<7:06:26, 164.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44071.])\n", + "{'redshifts/mse': 0.2811962068080902}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|█████▉ | 228/383 [10:34:43<6:58:31, 162.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44273.])\n", + "{'redshifts/mse': 0.2808944284915924}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|█████▉ | 229/383 [10:37:27<6:57:39, 162.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44456.])\n", + "{'redshifts/mse': 0.2810107469558716}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|██████ | 230/383 [10:40:02<6:48:41, 160.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44651.])\n", + "{'redshifts/mse': 0.2815176248550415}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|██████ | 231/383 [10:42:41<6:45:33, 160.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44867.])\n", + "{'redshifts/mse': 0.28165826201438904}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 232/383 [10:45:20<6:41:51, 159.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45058.])\n", + "{'redshifts/mse': 0.2817554771900177}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 233/383 [10:48:00<6:39:16, 159.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45260.])\n", + "{'redshifts/mse': 0.28189176321029663}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 234/383 [10:50:38<6:35:18, 159.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45458.])\n", + "{'redshifts/mse': 0.28215646743774414}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████▏ | 235/383 [10:53:08<6:25:44, 156.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45645.])\n", + "{'redshifts/mse': 0.28218093514442444}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 236/383 [10:55:48<6:25:52, 157.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45816.])\n", + "{'redshifts/mse': 0.2825356423854828}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 237/383 [10:58:30<6:26:29, 158.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46019.])\n", + "{'redshifts/mse': 0.2828160226345062}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 238/383 [11:01:09<6:24:02, 158.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46224.])\n", + "{'redshifts/mse': 0.2826530635356903}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 239/383 [11:03:49<6:22:21, 159.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46439.])\n", + "{'redshifts/mse': 0.2827703654766083}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 240/383 [11:06:27<6:18:25, 158.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46641.])\n", + "{'redshifts/mse': 0.28265973925590515}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 241/383 [11:09:04<6:14:32, 158.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46834.])\n", + "{'redshifts/mse': 0.2826167345046997}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 242/383 [11:11:40<6:10:26, 157.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47016.])\n", + "{'redshifts/mse': 0.2824993133544922}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 243/383 [11:14:15<6:05:54, 156.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47226.])\n", + "{'redshifts/mse': 0.2824075520038605}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▎ | 244/383 [11:16:51<6:03:00, 156.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47430.])\n", + "{'redshifts/mse': 0.28209277987480164}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 245/383 [11:19:29<6:01:18, 157.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47621.])\n", + "{'redshifts/mse': 0.2817919850349426}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 246/383 [11:22:01<5:54:45, 155.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47800.])\n", + "{'redshifts/mse': 0.28198447823524475}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 247/383 [11:24:37<5:52:58, 155.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48003.])\n", + "{'redshifts/mse': 0.28202635049819946}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▍ | 248/383 [11:27:18<5:53:54, 157.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48200.])\n", + "{'redshifts/mse': 0.28187480568885803}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▌ | 249/383 [11:29:56<5:51:39, 157.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48380.])\n", + "{'redshifts/mse': 0.281570166349411}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▌ | 250/383 [11:32:34<5:49:26, 157.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48580.])\n", + "{'redshifts/mse': 0.2816677391529083}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 251/383 [11:35:13<5:47:56, 158.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48776.])\n", + "{'redshifts/mse': 0.28130286931991577}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 252/383 [11:37:51<5:44:58, 158.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48962.])\n", + "{'redshifts/mse': 0.28156667947769165}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 253/383 [11:40:25<5:39:42, 156.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49149.])\n", + "{'redshifts/mse': 0.28192710876464844}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▋ | 254/383 [11:43:05<5:39:04, 157.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49351.])\n", + "{'redshifts/mse': 0.2816864848136902}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 255/383 [11:45:37<5:32:56, 156.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49535.])\n", + "{'redshifts/mse': 0.282036155462265}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 256/383 [11:48:08<5:27:08, 154.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49736.])\n", + "{'redshifts/mse': 0.2821928560733795}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 257/383 [11:50:45<5:25:47, 155.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49945.])\n", + "{'redshifts/mse': 0.2820329964160919}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 258/383 [11:53:22<5:24:34, 155.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50157.])\n", + "{'redshifts/mse': 0.2817539870738983}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 259/383 [11:55:50<5:17:18, 153.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50344.])\n", + "{'redshifts/mse': 0.28167638182640076}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 260/383 [11:58:26<5:15:58, 154.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50505.])\n", + "{'redshifts/mse': 0.2815144658088684}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 261/383 [12:01:03<5:15:35, 155.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50703.])\n", + "{'redshifts/mse': 0.28191089630126953}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 262/383 [12:03:30<5:07:57, 152.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50913.])\n", + "{'redshifts/mse': 0.2822813391685486}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▊ | 263/383 [12:06:06<5:07:02, 153.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51089.])\n", + "{'redshifts/mse': 0.28225743770599365}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 264/383 [12:08:37<5:02:53, 152.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51279.])\n", + "{'redshifts/mse': 0.2824348211288452}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 265/383 [12:11:12<5:01:43, 153.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51471.])\n", + "{'redshifts/mse': 0.28258368372917175}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 266/383 [12:13:42<4:57:13, 152.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51669.])\n", + "{'redshifts/mse': 0.28248369693756104}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|██████▉ | 267/383 [12:16:15<4:55:06, 152.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51859.])\n", + "{'redshifts/mse': 0.28224122524261475}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|██████▉ | 268/383 [12:18:49<4:53:15, 153.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52071.])\n", + "{'redshifts/mse': 0.2822440564632416}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|███████ | 269/383 [12:21:23<4:51:37, 153.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52272.])\n", + "{'redshifts/mse': 0.28257784247398376}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|███████ | 270/383 [12:23:56<4:48:38, 153.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52449.])\n", + "{'redshifts/mse': 0.282272607088089}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 271/383 [12:26:31<4:46:47, 153.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52661.])\n", + "{'redshifts/mse': 0.28218671679496765}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 272/383 [12:28:56<4:39:26, 151.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52857.])\n", + "{'redshifts/mse': 0.2820563316345215}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████▏ | 273/383 [12:31:30<4:39:02, 152.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53073.])\n", + "{'redshifts/mse': 0.2823679447174072}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 274/383 [12:34:02<4:36:23, 152.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53270.])\n", + "{'redshifts/mse': 0.2824800908565521}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 275/383 [12:36:36<4:34:41, 152.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53436.])\n", + "{'redshifts/mse': 0.28233620524406433}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 276/383 [12:39:14<4:35:04, 154.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53639.])\n", + "{'redshifts/mse': 0.2823083698749542}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 277/383 [12:41:50<4:33:33, 154.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53842.])\n", + "{'redshifts/mse': 0.2824001610279083}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 278/383 [12:44:26<4:31:34, 155.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54026.])\n", + "{'redshifts/mse': 0.2830885648727417}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 279/383 [12:47:02<4:29:04, 155.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54214.])\n", + "{'redshifts/mse': 0.2832166254520416}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 280/383 [12:49:39<4:27:26, 155.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54399.])\n", + "{'redshifts/mse': 0.2833171486854553}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 281/383 [12:52:15<4:24:57, 155.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54591.])\n", + "{'redshifts/mse': 0.28351685404777527}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▎ | 282/383 [12:54:50<4:21:43, 155.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54775.])\n", + "{'redshifts/mse': 0.28328800201416016}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 283/383 [12:57:22<4:17:31, 154.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54975.])\n", + "{'redshifts/mse': 0.28328752517700195}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 284/383 [12:59:52<4:12:46, 153.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55159.])\n", + "{'redshifts/mse': 0.28346583247184753}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 285/383 [13:02:27<4:11:09, 153.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55338.])\n", + "{'redshifts/mse': 0.28378617763519287}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▍ | 286/383 [13:04:55<4:05:43, 151.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55527.])\n", + "{'redshifts/mse': 0.2842683792114258}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▍ | 287/383 [13:07:27<4:03:22, 152.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55736.])\n", + "{'redshifts/mse': 0.2846372425556183}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▌ | 288/383 [13:09:59<4:00:50, 152.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55913.])\n", + "{'redshifts/mse': 0.28499463200569153}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▌ | 289/383 [13:12:33<3:58:53, 152.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56134.])\n", + "{'redshifts/mse': 0.28450945019721985}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 290/383 [13:15:10<3:58:38, 153.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56342.])\n", + "{'redshifts/mse': 0.2847840189933777}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 291/383 [13:17:47<3:57:19, 154.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56549.])\n", + "{'redshifts/mse': 0.28462928533554077}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 292/383 [13:20:24<3:55:52, 155.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56756.])\n", + "{'redshifts/mse': 0.284385621547699}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 293/383 [13:22:59<3:52:56, 155.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56964.])\n", + "{'redshifts/mse': 0.28450947999954224}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 294/383 [13:25:34<3:50:07, 155.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57138.])\n", + "{'redshifts/mse': 0.28455835580825806}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 295/383 [13:28:10<3:48:02, 155.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57341.])\n", + "{'redshifts/mse': 0.28449830412864685}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 296/383 [13:30:43<3:44:36, 154.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57522.])\n", + "{'redshifts/mse': 0.2844482958316803}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 297/383 [13:33:20<3:42:34, 155.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57709.])\n", + "{'redshifts/mse': 0.28442391753196716}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 298/383 [13:35:54<3:39:40, 155.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57879.])\n", + "{'redshifts/mse': 0.2841504216194153}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 299/383 [13:38:29<3:36:55, 154.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58068.])\n", + "{'redshifts/mse': 0.28393590450286865}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 300/383 [13:41:00<3:32:54, 153.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58245.])\n", + "{'redshifts/mse': 0.28361976146698}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▊ | 301/383 [13:43:31<3:28:50, 152.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58444.])\n", + "{'redshifts/mse': 0.28359752893447876}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 302/383 [13:46:04<3:26:36, 153.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58622.])\n", + "{'redshifts/mse': 0.2835890054702759}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 303/383 [13:48:36<3:23:34, 152.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58818.])\n", + "{'redshifts/mse': 0.28362131118774414}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 304/383 [13:51:12<3:22:21, 153.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59025.])\n", + "{'redshifts/mse': 0.28341642022132874}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|███████▉ | 305/383 [13:53:50<3:21:26, 154.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59208.])\n", + "{'redshifts/mse': 0.2831074297428131}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|███████▉ | 306/383 [13:56:26<3:19:20, 155.33s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59395.])\n", + "{'redshifts/mse': 0.283471941947937}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|████████ | 307/383 [13:58:59<3:15:43, 154.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59581.])\n", + "{'redshifts/mse': 0.2832668423652649}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|████████ | 308/383 [14:01:31<3:12:08, 153.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59752.])\n", + "{'redshifts/mse': 0.2830873727798462}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 309/383 [14:04:01<3:08:11, 152.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59973.])\n", + "{'redshifts/mse': 0.2831418216228485}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 310/383 [14:06:33<3:05:43, 152.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60158.])\n", + "{'redshifts/mse': 0.2832246422767639}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 311/383 [14:09:05<3:02:43, 152.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60341.])\n", + "{'redshifts/mse': 0.28316816687583923}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████▏ | 312/383 [14:11:37<3:00:14, 152.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60541.])\n", + "{'redshifts/mse': 0.28324395418167114}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 313/383 [14:14:09<2:57:36, 152.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60736.])\n", + "{'redshifts/mse': 0.28326839208602905}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 314/383 [14:16:43<2:55:28, 152.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60902.])\n", + "{'redshifts/mse': 0.2834608852863312}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 315/383 [14:19:19<2:54:13, 153.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61074.])\n", + "{'redshifts/mse': 0.28365764021873474}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 316/383 [14:21:54<2:52:13, 154.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61274.])\n", + "{'redshifts/mse': 0.28374165296554565}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 317/383 [14:24:26<2:48:49, 153.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61480.])\n", + "{'redshifts/mse': 0.2840006351470947}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 318/383 [14:27:02<2:46:57, 154.12s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61727.])\n", + "{'redshifts/mse': 0.28374114632606506}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 319/383 [14:29:35<2:44:06, 153.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61925.])\n", + "{'redshifts/mse': 0.28397780656814575}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▎ | 320/383 [14:32:12<2:42:27, 154.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62125.])\n", + "{'redshifts/mse': 0.2841787338256836}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 321/383 [14:34:49<2:40:42, 155.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62307.])\n", + "{'redshifts/mse': 0.28421348333358765}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 322/383 [14:37:24<2:37:59, 155.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62481.])\n", + "{'redshifts/mse': 0.2842971086502075}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 323/383 [14:39:59<2:35:21, 155.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62687.])\n", + "{'redshifts/mse': 0.284268856048584}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▍ | 324/383 [14:42:36<2:33:06, 155.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62851.])\n", + "{'redshifts/mse': 0.2846909463405609}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▍ | 325/383 [14:45:10<2:29:59, 155.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63021.])\n", + "{'redshifts/mse': 0.284566193819046}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▌ | 326/383 [14:47:46<2:27:38, 155.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63212.])\n", + "{'redshifts/mse': 0.28460973501205444}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▌ | 327/383 [14:50:23<2:25:34, 155.97s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63403.])\n", + "{'redshifts/mse': 0.2847566306591034}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 328/383 [14:52:56<2:22:07, 155.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63591.])\n", + "{'redshifts/mse': 0.285031795501709}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 329/383 [14:55:31<2:19:36, 155.12s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63777.])\n", + "{'redshifts/mse': 0.28508737683296204}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 330/383 [14:58:07<2:17:17, 155.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63958.])\n", + "{'redshifts/mse': 0.2851140797138214}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▋ | 331/383 [15:00:40<2:13:51, 154.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64139.])\n", + "{'redshifts/mse': 0.2854297459125519}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 332/383 [15:03:16<2:11:44, 154.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64360.])\n", + "{'redshifts/mse': 0.2851499319076538}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 333/383 [15:05:52<2:09:19, 155.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64568.])\n", + "{'redshifts/mse': 0.28523755073547363}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 334/383 [15:08:26<2:06:36, 155.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64778.])\n", + "{'redshifts/mse': 0.28547948598861694}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 335/383 [15:11:00<2:03:44, 154.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64981.])\n", + "{'redshifts/mse': 0.2853909730911255}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 336/383 [15:13:28<1:59:32, 152.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65172.])\n", + "{'redshifts/mse': 0.2850951850414276}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 337/383 [15:16:03<1:57:32, 153.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65371.])\n", + "{'redshifts/mse': 0.28512924909591675}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 338/383 [15:18:36<1:54:53, 153.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65552.])\n", + "{'redshifts/mse': 0.28490257263183594}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▊ | 339/383 [15:21:09<1:52:15, 153.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65744.])\n", + "{'redshifts/mse': 0.2845468819141388}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 340/383 [15:23:41<1:49:30, 152.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65958.])\n", + "{'redshifts/mse': 0.2843233644962311}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 341/383 [15:26:13<1:46:49, 152.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66162.])\n", + "{'redshifts/mse': 0.2843347489833832}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 342/383 [15:28:48<1:44:42, 153.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66353.])\n", + "{'redshifts/mse': 0.28420376777648926}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|████████▉ | 343/383 [15:31:24<1:42:50, 154.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66563.])\n", + "{'redshifts/mse': 0.28401434421539307}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|████████▉ | 344/383 [15:33:59<1:40:17, 154.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66757.])\n", + "{'redshifts/mse': 0.28414300084114075}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|█████████ | 345/383 [15:36:30<1:37:08, 153.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66966.])\n", + "{'redshifts/mse': 0.28434136509895325}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|█████████ | 346/383 [15:39:08<1:35:27, 154.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67157.])\n", + "{'redshifts/mse': 0.284228652715683}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 347/383 [15:41:41<1:32:33, 154.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67376.])\n", + "{'redshifts/mse': 0.2841498851776123}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 348/383 [15:44:15<1:29:53, 154.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67579.])\n", + "{'redshifts/mse': 0.2839873731136322}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 349/383 [15:46:49<1:27:17, 154.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67747.])\n", + "{'redshifts/mse': 0.2842117249965668}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████▏| 350/383 [15:49:22<1:24:38, 153.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67934.])\n", + "{'redshifts/mse': 0.28411608934402466}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 351/383 [15:51:55<1:21:50, 153.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68121.])\n", + "{'redshifts/mse': 0.284496933221817}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 352/383 [15:54:28<1:19:19, 153.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68319.])\n", + "{'redshifts/mse': 0.28441986441612244}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 353/383 [15:56:58<1:16:13, 152.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68513.])\n", + "{'redshifts/mse': 0.2842010259628296}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 354/383 [15:59:35<1:14:17, 153.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68693.])\n", + "{'redshifts/mse': 0.2841116487979889}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 355/383 [16:02:12<1:12:12, 154.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68891.])\n", + "{'redshifts/mse': 0.28410670161247253}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 356/383 [16:04:48<1:09:50, 155.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69091.])\n", + "{'redshifts/mse': 0.28421878814697266}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 357/383 [16:07:25<1:07:27, 155.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69277.])\n", + "{'redshifts/mse': 0.2843468189239502}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 358/383 [16:10:01<1:04:54, 155.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69447.])\n", + "{'redshifts/mse': 0.28426840901374817}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▎| 359/383 [16:12:31<1:01:38, 154.12s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69640.])\n", + "{'redshifts/mse': 0.28432977199554443}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 360/383 [16:15:04<58:55, 153.70s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69830.])\n", + "{'redshifts/mse': 0.2844697833061218}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 361/383 [16:17:40<56:38, 154.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70026.])\n", + "{'redshifts/mse': 0.2843700051307678}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▍| 362/383 [16:20:15<54:04, 154.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70211.])\n", + "{'redshifts/mse': 0.28438523411750793}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▍| 363/383 [16:22:49<51:25, 154.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70392.])\n", + "{'redshifts/mse': 0.2845216691493988}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 364/383 [16:25:24<48:56, 154.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70600.])\n", + "{'redshifts/mse': 0.28473836183547974}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 365/383 [16:28:00<46:31, 155.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70797.])\n", + "{'redshifts/mse': 0.28446370363235474}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 366/383 [16:30:36<44:01, 155.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70989.])\n", + "{'redshifts/mse': 0.2843175530433655}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 367/383 [16:33:11<41:20, 155.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71182.])\n", + "{'redshifts/mse': 0.28401046991348267}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 368/383 [16:35:47<38:51, 155.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71383.])\n", + "{'redshifts/mse': 0.2841472923755646}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▋| 369/383 [16:38:21<36:11, 155.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71560.])\n", + "{'redshifts/mse': 0.2841913104057312}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 370/383 [16:40:54<33:25, 154.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71749.])\n", + "{'redshifts/mse': 0.2843191623687744}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 371/383 [16:43:33<31:11, 155.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71960.])\n", + "{'redshifts/mse': 0.28461411595344543}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 372/383 [16:46:12<28:42, 156.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72151.])\n", + "{'redshifts/mse': 0.28479310870170593}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 373/383 [16:48:47<26:03, 156.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72371.])\n", + "{'redshifts/mse': 0.28469061851501465}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 374/383 [16:51:26<23:34, 157.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72559.])\n", + "{'redshifts/mse': 0.28455954790115356}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 375/383 [16:54:08<21:07, 158.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72743.])\n", + "{'redshifts/mse': 0.2849094271659851}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 376/383 [16:56:48<18:32, 158.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72944.])\n", + "{'redshifts/mse': 0.2850492000579834}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 377/383 [16:59:24<15:47, 157.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73123.])\n", + "{'redshifts/mse': 0.2851126492023468}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▊| 378/383 [17:02:00<13:07, 157.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73315.])\n", + "{'redshifts/mse': 0.28506597876548767}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 379/383 [17:04:44<10:38, 159.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73533.])\n", + "{'redshifts/mse': 0.28489241003990173}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 380/383 [17:07:22<07:57, 159.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73741.])\n", + "{'redshifts/mse': 0.2848207354545593}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 381/383 [17:09:58<05:15, 157.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73928.])\n", + "{'redshifts/mse': 0.28465771675109863}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 382/383 [17:12:34<02:37, 157.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([74138.])\n", + "{'redshifts/mse': 0.2848495543003082}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 383/383 [17:14:40<00:00, 147.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([74290.])\n", + "{'redshifts/mse': 0.2848811149597168}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 383/383 [17:14:40<00:00, 162.09s/it]\n" + ] + } + ], + "source": [ + "\n", + "# metrics = instantiate(notebook_cfg.encoder.metrics)\n", + "# matcher = instantiate(notebook_cfg.encoder.matcher)\n", + "# metrics.reset()\n", + "# # args\n", + "# lsst_root_dir = \"/data/scratch/dc2_nfs/\"\n", + "# image_lim = 80\n", + "# r_band_min_flux = 50\n", + "# tile_slen = 4\n", + "# max_sources_per_tile = 1\n", + "# tiles_to_crop = 1\n", + "\n", + "# lsst_predictor = LSSTPredictor(lsst_root_dir, r_band_min_flux, tile_slen, max_sources_per_tile, tiles_to_crop)\n", + "# for batch_idx, batch in tqdm(enumerate(dataset.val_dataloader()), total=len(dataset.test_dataloader())):\n", + "# if batch_idx >= 5:\n", + "# true_cat = TileCatalog(tile_slen=4, d=batch[\"tile_catalog\"])\n", + "# lsst_cat = lsst_predictor.predict(batch[\"wcs_header_str\"], image_lim, batch[\"image_height_index\"], batch[\"image_width_index\"])\n", + "# est_cat = est_redshifts_with_reg_change_to_cat(lsst_cat, reg, tile_slen=4)\n", + "# est_cat = est_cat.to_full_catalog()\n", + "# true_cat = true_cat.to_full_catalog()\n", + "# matching = matcher.match_catalogs(true_cat, est_cat)\n", + "# metrics.update(true_cat, est_cat, matching)\n", + "# print(metrics.compute())\n", + "\n", + "# lsst_out_dict = metrics.compute()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'redshifts/mse': 0.2848811149597168}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lsst_out_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LSST flux using table and Reg" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "# load lsst\n", + "GCRCatalogs.set_root_dir(lsst_root_dir)\n", + "lsst_catalog_gcr = GCRCatalogs.load_catalog(\"desc_dc2_run2.2i_dr6_object_with_truth_match\")\n", + "lsst_catalog_sub = lsst_catalog_gcr.get_quantities(\n", + " [\n", + " \"id_truth\",\n", + " \"objectId\",\n", + " \"ra\",\n", + " \"dec\",\n", + " \"truth_type\",\n", + " \"cModelFlux_u\",\n", + " \"cModelFluxErr_u\",\n", + " \"cModelFlux_g\",\n", + " \"cModelFluxErr_g\",\n", + " \"cModelFlux_r\",\n", + " \"cModelFluxErr_r\",\n", + " \"cModelFlux_i\",\n", + " \"cModelFluxErr_i\",\n", + " \"cModelFlux_z\",\n", + " \"cModelFluxErr_z\",\n", + " \"cModelFlux_y\",\n", + " \"cModelFluxErr_y\",\n", + " ]\n", + ")\n", + "lsst_catalog_df = pd.DataFrame(lsst_catalog_sub)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
cModelFlux_ucModelFluxErr_icModelFlux_icModelFlux_rcModelFluxErr_zobjectIdcModelFlux_zcModelFlux_yracModelFluxErr_gtruth_typecModelFluxErr_ucModelFluxErr_rcModelFluxErr_ycModelFlux_gdecid_truth
0146.45461734.417397348.178418292.78325397.71244715982501021353368494.3259101082.44666756.85186116.475798146.14605019.407432181.637104304.932765-38.6775858757401501
178.79568423.461088135.42262352.53099866.62309015982501021353393-42.73741549.05933456.79946511.117315131.51231912.540611141.24720892.324142-38.6776728750694182
2612.54364230.441242610.091646546.73518379.49001515982501021353397602.223260528.33095956.88324914.003504138.91434716.139224145.991693587.438707-38.6768808752812073
3-5.46608928.489701279.301964222.32094076.76257915982501021353414348.821004162.72341356.85816912.518181135.49972116.376210148.953503108.903666-38.6766768750045581
4-65.58673423.782355128.88060073.14821973.4019241598250102135341954.891883-6.05004356.88977812.093521134.34253413.494841135.01298533.328147-38.6764308751841300
......................................................
11116201NaNNaN0.0000005.01707269.75571117711783703784922120.3533290.00000058.39057711.8471161NaN12.534509NaN46.852902-34.2323915941110663
1111620285.14941222.113112-1.57301848.85363769.9020111771178370378492344.586495133.59329158.39044311.887254132.06051412.581314142.15684948.240569-34.2325525941110663
1111620311.21562322.10394227.37258521.041774NaN177117837037849240.000000222.78878858.39094211.841447132.05403912.525000140.84943060.196099-34.2324155952753448
11116204130.08054435.409613127.99472379.99587199.52476717711783703784925215.6435876.31193458.42155916.643941147.15289019.900337182.670056139.175022-34.2228025939749788
11116205-3.73137532.530474119.34999386.027198103.51827717711783703784926116.488390227.20588458.42209715.728824149.14095317.668650192.092610119.395623-34.2233705939718612
\n", + "

11116206 rows × 17 columns

\n", + "
" + ], + "text/plain": [ + " cModelFlux_u cModelFluxErr_i cModelFlux_i cModelFlux_r \\\n", + "0 146.454617 34.417397 348.178418 292.783253 \n", + "1 78.795684 23.461088 135.422623 52.530998 \n", + "2 612.543642 30.441242 610.091646 546.735183 \n", + "3 -5.466089 28.489701 279.301964 222.320940 \n", + "4 -65.586734 23.782355 128.880600 73.148219 \n", + "... ... ... ... ... \n", + "11116201 NaN NaN 0.000000 5.017072 \n", + "11116202 85.149412 22.113112 -1.573018 48.853637 \n", + "11116203 11.215623 22.103942 27.372585 21.041774 \n", + "11116204 130.080544 35.409613 127.994723 79.995871 \n", + "11116205 -3.731375 32.530474 119.349993 86.027198 \n", + "\n", + " cModelFluxErr_z objectId cModelFlux_z cModelFlux_y \\\n", + "0 97.712447 15982501021353368 494.325910 1082.446667 \n", + "1 66.623090 15982501021353393 -42.737415 49.059334 \n", + "2 79.490015 15982501021353397 602.223260 528.330959 \n", + "3 76.762579 15982501021353414 348.821004 162.723413 \n", + "4 73.401924 15982501021353419 54.891883 -6.050043 \n", + "... ... ... ... ... \n", + "11116201 69.755711 17711783703784922 120.353329 0.000000 \n", + "11116202 69.902011 17711783703784923 44.586495 133.593291 \n", + "11116203 NaN 17711783703784924 0.000000 222.788788 \n", + "11116204 99.524767 17711783703784925 215.643587 6.311934 \n", + "11116205 103.518277 17711783703784926 116.488390 227.205884 \n", + "\n", + " ra cModelFluxErr_g truth_type cModelFluxErr_u \\\n", + "0 56.851861 16.475798 1 46.146050 \n", + "1 56.799465 11.117315 1 31.512319 \n", + "2 56.883249 14.003504 1 38.914347 \n", + "3 56.858169 12.518181 1 35.499721 \n", + "4 56.889778 12.093521 1 34.342534 \n", + "... ... ... ... ... \n", + "11116201 58.390577 11.847116 1 NaN \n", + "11116202 58.390443 11.887254 1 32.060514 \n", + "11116203 58.390942 11.841447 1 32.054039 \n", + "11116204 58.421559 16.643941 1 47.152890 \n", + "11116205 58.422097 15.728824 1 49.140953 \n", + "\n", + " cModelFluxErr_r cModelFluxErr_y cModelFlux_g dec \\\n", + "0 19.407432 181.637104 304.932765 -38.677585 \n", + "1 12.540611 141.247208 92.324142 -38.677672 \n", + "2 16.139224 145.991693 587.438707 -38.676880 \n", + "3 16.376210 148.953503 108.903666 -38.676676 \n", + "4 13.494841 135.012985 33.328147 -38.676430 \n", + "... ... ... ... ... \n", + "11116201 12.534509 NaN 46.852902 -34.232391 \n", + "11116202 12.581314 142.156849 48.240569 -34.232552 \n", + "11116203 12.525000 140.849430 60.196099 -34.232415 \n", + "11116204 19.900337 182.670056 139.175022 -34.222802 \n", + "11116205 17.668650 192.092610 119.395623 -34.223370 \n", + "\n", + " id_truth \n", + "0 8757401501 \n", + "1 8750694182 \n", + "2 8752812073 \n", + "3 8750045581 \n", + "4 8751841300 \n", + "... ... \n", + "11116201 5941110663 \n", + "11116202 5941110663 \n", + "11116203 5952753448 \n", + "11116204 5939749788 \n", + "11116205 5939718612 \n", + "\n", + "[11116206 rows x 17 columns]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lsst_catalog_df" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "gt_path = \"/home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl\"\n", + "gt_catalog_df = pd.read_pickle(gt_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
cosmodc2_ididflux_iflux_rdecmatch_objectIdflux_uflux_gflux_yra...IxxPSF_pixel_iIyyPSF_pixel_gIxyPSF_pixel_gobjectIdIxyPSF_pixel_ypsf_fwhm_iIxyPSF_pixel_zIxxPSF_pixel_rIyyPSF_pixel_zpsf_fwhm_z
087574015018757401501182.194626144.206085-38.67752115982501021353368123.476219160.843887263.54742456.851958...3.0425813.0905870.0066271.598250e+16-0.0009880.8199640.0018583.1087673.8663990.926216
18750694182875069418299.90623559.634422-38.6771041598250102135339310.70587321.402449125.48266656.799616...3.0461973.213237-0.0038061.598250e+16-0.0033110.8204320.0012103.1456374.0145150.943202
287528120738752812073503.124298499.428711-38.67688215982501021353397594.172546550.806763577.89904856.883238...3.0373783.0671760.0063821.598250e+16-0.0009010.8192850.0097363.1357663.9037950.931271
387500455818750045581266.654419216.263962-38.6766741598250102135341451.661514117.508293336.93927056.858170...3.0427263.0614460.0081141.598250e+16-0.0028440.8198050.0032233.0726023.8848260.928279
487518413008751841300127.01150556.280338-38.6764231598250102135341933.59746240.201370148.96217356.889715...3.0371963.0220180.0052051.598250e+16-0.0075530.8192770.0012103.1117834.0145150.943202
\n", + "

5 rows × 45 columns

\n", + "
" + ], + "text/plain": [ + " cosmodc2_id id flux_i flux_r dec \\\n", + "0 8757401501 8757401501 182.194626 144.206085 -38.677521 \n", + "1 8750694182 8750694182 99.906235 59.634422 -38.677104 \n", + "2 8752812073 8752812073 503.124298 499.428711 -38.676882 \n", + "3 8750045581 8750045581 266.654419 216.263962 -38.676674 \n", + "4 8751841300 8751841300 127.011505 56.280338 -38.676423 \n", + "\n", + " match_objectId flux_u flux_g flux_y ra ... \\\n", + "0 15982501021353368 123.476219 160.843887 263.547424 56.851958 ... \n", + "1 15982501021353393 10.705873 21.402449 125.482666 56.799616 ... \n", + "2 15982501021353397 594.172546 550.806763 577.899048 56.883238 ... \n", + "3 15982501021353414 51.661514 117.508293 336.939270 56.858170 ... \n", + "4 15982501021353419 33.597462 40.201370 148.962173 56.889715 ... \n", + "\n", + " IxxPSF_pixel_i IyyPSF_pixel_g IxyPSF_pixel_g objectId \\\n", + "0 3.042581 3.090587 0.006627 1.598250e+16 \n", + "1 3.046197 3.213237 -0.003806 1.598250e+16 \n", + "2 3.037378 3.067176 0.006382 1.598250e+16 \n", + "3 3.042726 3.061446 0.008114 1.598250e+16 \n", + "4 3.037196 3.022018 0.005205 1.598250e+16 \n", + "\n", + " IxyPSF_pixel_y psf_fwhm_i IxyPSF_pixel_z IxxPSF_pixel_r IyyPSF_pixel_z \\\n", + "0 -0.000988 0.819964 0.001858 3.108767 3.866399 \n", + "1 -0.003311 0.820432 0.001210 3.145637 4.014515 \n", + "2 -0.000901 0.819285 0.009736 3.135766 3.903795 \n", + "3 -0.002844 0.819805 0.003223 3.072602 3.884826 \n", + "4 -0.007553 0.819277 0.001210 3.111783 4.014515 \n", + "\n", + " psf_fwhm_z \n", + "0 0.926216 \n", + "1 0.943202 \n", + "2 0.931271 \n", + "3 0.928279 \n", + "4 0.943202 \n", + "\n", + "[5 rows x 45 columns]" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gt_catalog_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "gt_test_df = gt_catalog_df[gt_catalog_df.flux_r < 200].sample(10000)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['cosmodc2_id', 'id', 'flux_i', 'flux_r', 'dec', 'match_objectId',\n", + " 'flux_u', 'flux_g', 'flux_y', 'ra', 'truth_type', 'flux_z', 'redshifts',\n", + " 'size_bulge_true', 'position_angle_true', 'galaxy_id',\n", + " 'size_minor_disk_true', 'size_disk_true', 'size_minor_bulge_true',\n", + " 'bulge_to_total_ratio_i', 'psf_fwhm_g', 'psf_fwhm_r', 'IxxPSF_pixel_g',\n", + " 'psf_fwhm_y', 'IxyPSF_pixel_i', 'IyyPSF_pixel_i', 'IxyPSF_pixel_u',\n", + " 'IyyPSF_pixel_u', 'IxyPSF_pixel_r', 'IxxPSF_pixel_y', 'IxxPSF_pixel_z',\n", + " 'psf_fwhm_u', 'IxxPSF_pixel_u', 'IyyPSF_pixel_y', 'IyyPSF_pixel_r',\n", + " 'IxxPSF_pixel_i', 'IyyPSF_pixel_g', 'IxyPSF_pixel_g', 'objectId',\n", + " 'IxyPSF_pixel_y', 'psf_fwhm_i', 'IxyPSF_pixel_z', 'IxxPSF_pixel_r',\n", + " 'IyyPSF_pixel_z', 'psf_fwhm_z'],\n", + " dtype='object')" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gt_test_df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "lsst_test_df = lsst_catalog_df.merge(gt_test_df, left_on=\"id_truth\", right_on=\"id\")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "column = [\"id\", \"cModelFlux_u\", \"cModelFlux_g\", \"cModelFlux_r\", \"cModelFlux_i\", \"cModelFlux_z\", \"cModelFlux_y\", \"redshifts\"]\n", + "lsst_test_df = lsst_test_df[column].dropna()\n", + "lsst_test_df = lsst_test_df[lsst_test_df.cModelFlux_r < 200]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "lsst_test_df = lsst_test_df[(lsst_test_df > 0).all(axis=1)]" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "survey_band = [\"u\", \"g\", \"r\", \"i\", \"z\", \"y\"]\n", + "flux_names = [f\"cModelFlux_{band}\" for band in survey_band]\n", + "lsst_flux_lists = [torch.tensor(lsst_test_df[flux_name].values, device=device) for flux_name in flux_names]\n", + "lsst_mag_lists = [22.5 - 2.5 * torch.log10(lsst_flux_list / 3631) for lsst_flux_list in lsst_flux_lists]\n", + "redshifts_gt = lsst_test_df.redshifts.values\n" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "lsst_mags = torch.stack(lsst_mag_lists, dim=-1)" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [], + "source": [ + "reg.eval()\n", + "preds = reg.net(lsst_mags.float()).cpu().detach().numpy()\n", + "trues = redshifts_gt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.xlim(0, 3)\n", + "plt.ylim(0, 3)\n", + "plt.axline((0, 0), slope=1)\n", + "plt.scatter(preds, trues, alpha=0.1, s=3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, diff --git a/case_studies/redshift/evaluation/notebook_plot.yaml b/case_studies/redshift/evaluation/notebook_plot.yaml index eaca9c990..7b5abb8a5 100644 --- a/case_studies/redshift/evaluation/notebook_plot.yaml +++ b/case_studies/redshift/evaluation/notebook_plot.yaml @@ -26,9 +26,9 @@ encoder: log_transform_stdevs: [] use_clahe: true clahe_min_stdev: 200 - matcher: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftsCatalogMatcher - match_gating: is_galaxy + # matcher: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftsCatalogMatcher + # match_gating: is_galaxy metrics: _target_: torchmetrics.MetricCollection _convert_: "partial" @@ -40,22 +40,26 @@ encoder: use_checkerboard: false my_metrics_test: - redshift_mearn_square_error_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_outlier_fraction_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_nmad_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDevBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_outlier_fraction_catastrophic_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCataBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_bias_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBiasBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - + redshift_mearn_square_error: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredError + # redshift_mearn_square_error_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBin + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # redshift_outlier_fraction_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionBin + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # redshift_nmad_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDevBin + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # redshift_outlier_fraction_catastrophic_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCataBin + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # redshift_bias_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBiasBin + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # flux_error: + # _target_: bliss.encoder.metrics.FluxError + # survey_bands: ${encoder.survey_bands} surveys: dc2: batch_size: 64 diff --git a/case_studies/redshift/redshift_from_img/encoder/metrics.py b/case_studies/redshift/redshift_from_img/encoder/metrics.py index 9d82a65e0..0bec5f2ec 100644 --- a/case_studies/redshift/redshift_from_img/encoder/metrics.py +++ b/case_studies/redshift/redshift_from_img/encoder/metrics.py @@ -32,10 +32,18 @@ def __init__(self, **kwargs): def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] - self.total += tcat_matches.sum() - true_red = true_cat["redshifts"][i][tcat_matches] - est_red = est_cat["redshifts"][i][ecat_matches] + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + self.total += tcat_matches.sum() + true_red = true_cat["redshifts"][i][tcat_matches] + est_red = est_cat["redshifts"][i][ecat_matches] + # For CatalogMatcher + else: + self.total += tcat_matches.size(0) + true_red = true_cat["redshifts"][i, tcat_matches, :] + est_red = est_cat["redshifts"][i, ecat_matches, :] + red_err = ((true_red - est_red).abs() ** 2).sum() self.sum_squared_error += red_err diff --git a/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml b/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml index 92743ecd2..e44254c05 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml @@ -39,9 +39,9 @@ encoder: log_transform_stdevs: [] use_clahe: true clahe_min_stdev: 200 - matcher: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftsCatalogMatcher - match_gating: is_galaxy + # matcher: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftsCatalogMatcher + # match_gating: is_galaxy metrics: _target_: torchmetrics.MetricCollection _convert_: "partial" From 059f6075cdc7dbc29ce93205c63d48941ab03fcb Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Mon, 29 Jul 2024 10:06:04 -0400 Subject: [PATCH 24/27] update code for all metrics evaluation on LSST and Bliss --- .../redshift/evaluation/dc2_plot.ipynb | 22888 ++++++++++++++-- .../redshift/evaluation/notebook_plot.yaml | 124 +- .../DC2_generate_cat_split_data.ipynb | 261 +- .../redshift_from_img/encoder/encoder.py | 33 +- .../redshift_from_img/encoder/metrics.py | 289 +- .../full_train_config_redshift.yaml | 101 +- .../redshift_from_img/notebook_config.yaml | 10 +- .../redshift/redshift_from_img/train.sh | 2 +- 8 files changed, 21610 insertions(+), 2098 deletions(-) diff --git a/case_studies/redshift/evaluation/dc2_plot.ipynb b/case_studies/redshift/evaluation/dc2_plot.ipynb index 9b8d3da1f..ab30c255f 100644 --- a/case_studies/redshift/evaluation/dc2_plot.ipynb +++ b/case_studies/redshift/evaluation/dc2_plot.ipynb @@ -45,7 +45,7 @@ "from pytorch_lightning.utilities import move_data_to_device\n", "\n", "from bliss.catalog import FullCatalog, BaseTileCatalog, TileCatalog\n", - "from bliss.surveys.dc2 import DC2, unsqueeze_tile_dict\n", + "from bliss.surveys.dc2 import DC2DataModule\n", "from case_studies.redshift.evaluation.utils.load_lsst import get_lsst_full_cat\n", "from case_studies.redshift.evaluation.utils.safe_metric_collection import SafeMetricCollection as MetricCollection\n", "from case_studies.redshift.redshift_from_img.encoder.metrics import RedshiftMeanSquaredErrorBin\n", @@ -56,7 +56,7 @@ "output_dir.mkdir(parents=True, exist_ok=True)\n", "\n", "# change this model path according to your training setting\n", - "model_path = \"/home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/DC2_redshift_only_bin/checkpoints/encoder_0.174964.ckpt\"\n", + "model_path = \"/home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/DC2_redshift_only_bin_allmetrics/checkpoints/encoder_0.182845.ckpt\"\n", "lsst_root_dir = \"/data/scratch/dc2_nfs/\"\n", "\n", "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", @@ -81,13 +81,33 @@ "source": [ "# set up testing dataset\n", "dataset = instantiate(notebook_cfg.train.data_source)\n", - "dataset.setup()\n" + "dataset.setup(\"test\")\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset.test_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, "outputs": [], "source": [ "import os\n", @@ -105,36 +125,16 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "245000" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(dataset.image_ids())" - ] - }, - { - "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "24500" + "25000" ] }, - "execution_count": 10, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -152,30 +152,38 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "RuntimeError", + "evalue": "Error(s) in loading state_dict for RedshiftsEncoder:\n\tsize mismatch for catalog_net.detection_net.4.conv.weight: copying a param with shape torch.Size([2, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([38, 256, 1, 1]).\n\tsize mismatch for catalog_net.detection_net.4.conv.bias: copying a param with shape torch.Size([2]) from checkpoint, the shape in current model is torch.Size([38]).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[8], line 5\u001b[0m\n\u001b[1;32m 3\u001b[0m bliss_encoder \u001b[38;5;241m=\u001b[39m instantiate(notebook_cfg\u001b[38;5;241m.\u001b[39mencoder)\u001b[38;5;241m.\u001b[39mto(device\u001b[38;5;241m=\u001b[39mdevice)\n\u001b[1;32m 4\u001b[0m pretrained_weights \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mload(model_path, device)[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstate_dict\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m----> 5\u001b[0m \u001b[43mbliss_encoder\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_state_dict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpretrained_weights\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 6\u001b[0m bliss_encoder\u001b[38;5;241m.\u001b[39meval();\n", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/torch/nn/modules/module.py:2189\u001b[0m, in \u001b[0;36mModule.load_state_dict\u001b[0;34m(self, state_dict, strict, assign)\u001b[0m\n\u001b[1;32m 2184\u001b[0m error_msgs\u001b[38;5;241m.\u001b[39minsert(\n\u001b[1;32m 2185\u001b[0m \u001b[38;5;241m0\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mMissing key(s) in state_dict: \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m. \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\n\u001b[1;32m 2186\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m k \u001b[38;5;129;01min\u001b[39;00m missing_keys)))\n\u001b[1;32m 2188\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(error_msgs) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m-> 2189\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mError(s) in loading state_dict for \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\n\u001b[1;32m 2190\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(error_msgs)))\n\u001b[1;32m 2191\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _IncompatibleKeys(missing_keys, unexpected_keys)\n", + "\u001b[0;31mRuntimeError\u001b[0m: Error(s) in loading state_dict for RedshiftsEncoder:\n\tsize mismatch for catalog_net.detection_net.4.conv.weight: copying a param with shape torch.Size([2, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([38, 256, 1, 1]).\n\tsize mismatch for catalog_net.detection_net.4.conv.bias: copying a param with shape torch.Size([2]) from checkpoint, the shape in current model is torch.Size([38])." + ] + } + ], "source": [ "# Loop through the test set and update the metric\n", "# load bliss trained model\n", "bliss_encoder = instantiate(notebook_cfg.encoder).to(device=device)\n", "pretrained_weights = torch.load(model_path, device)[\"state_dict\"]\n", "bliss_encoder.load_state_dict(pretrained_weights)\n", - "bliss_encoder.eval();\n", - "# for batch_idx, batch in tqdm(enumerate(dataset.test_dataloader()), total=len(dataset.test_dataloader())):\n", - "# batch[\"images\"] = batch[\"images\"].to(device)\n", - "# bliss_encoder.update_metrics(batch, batch_idx)\n", - "\n", - "# bliss_out_dict = bliss_encoder.mode_metrics.compute()" + "bliss_encoder.eval();" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ - "bliss_output_path = output_dir / \"bliss_output_all.pkl\"\n", + "bliss_output_path = output_dir / \"bliss_output_large_split.pkl\"\n", "\n", "if not bliss_output_path.exists():\n", " for batch_idx, batch in tqdm(enumerate(dataset.test_dataloader()), total=len(dataset.test_dataloader())):\n", @@ -192,11 +200,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 3125/3125 [13:51<00:00, 3.76it/s]\n" + ] + } + ], "source": [ - "bliss_out_dict" + "for batch_idx, batch in tqdm(enumerate(dataset.test_dataloader()), total=len(dataset.test_dataloader())):\n", + " batch[\"images\"] = batch[\"images\"].to(device)\n", + " bliss_encoder.update_metrics(batch, batch_idx)\n", + "bliss_out_dict_abs_bias = bliss_encoder.mode_metrics.compute()" ] }, { @@ -205,6 +224,7 @@ "metadata": {}, "outputs": [], "source": [ + "# mse\n", "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", "mse_values = [bliss_out_dict[f'redshifts/mse_bin_{i}'] for i in range(5)]\n", "\n", @@ -213,15 +233,9 @@ "plt.xlabel('Flux Range')\n", "plt.ylabel('Mean Squared Error')\n", "plt.title('Mean Squared Error per Flux Range')\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ + "plt.show()\n", + "\n", + "# bias\n", "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", "bias_values = [bliss_out_dict[f'redshifts/bias_bin_{i}'] for i in range(5)]\n", "\n", @@ -230,15 +244,9 @@ "plt.xlabel('Flux Range')\n", "plt.ylabel('Bias')\n", "plt.title('Bias per Flux Range')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ + "plt.show()\n", + "\n", + "# NMAD\n", "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", "nmad_values = [bliss_out_dict[f'redshifts/nmad_bin_{i}'] for i in range(5)]\n", "\n", @@ -247,15 +255,9 @@ "plt.xlabel('Flux Range')\n", "plt.ylabel('NMAD')\n", "plt.title('NMAD per Flux Range')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ + "plt.show()\n", + "\n", + "# outlierfraction\n", "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", "outlier_fraction_values = [bliss_out_dict[f'redshifts/outlier_fraction_bin_{i}'] for i in range(5)]\n", "\n", @@ -264,15 +266,9 @@ "plt.xlabel('Flux Range')\n", "plt.ylabel('Outlier Fraction')\n", "plt.title('Outlier Fraction per Flux Range')\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ + "plt.show()\n", + "\n", + "# outlier cata\n", "flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", "outlier_fraction_cata_values = [bliss_out_dict[f'redshifts/outlier_fraction_cata_bin_{i}'] for i in range(5)]\n", "\n", @@ -293,7 +289,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -312,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -340,7 +336,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -366,21 +362,13 @@ ")" ] }, - "execution_count": 9, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "reg = PhotoZFromMag(\n", - " in_dim,\n", - " network_options[\"hidden_dim\"],\n", - " network_options[\"out_dim\"],\n", - " network_options[\"dropout_rate\"],\n", - " network_options[\"learning_rate\"],\n", - " network_options[\"loss_fcn\"],\n", - ")\n", - "reg = reg.load_from_checkpoint(\n", + "reg = PhotoZFromMag.load_from_checkpoint(\n", " path,\n", " in_dim=in_dim,\n", " hidden_dim=network_options[\"hidden_dim\"],\n", @@ -395,7 +383,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -409,11 +397,11 @@ " Returns:\n", " Catalog that containing pred redshifts\n", " \"\"\"\n", - " cat = cat.filter_tile_catalog_by_flux(\n", + " cat = cat.filter_by_flux(\n", " min_flux=min_flux_for_loss,\n", " band=reference_band,\n", " )\n", - " mag = cat.magnitudes_njy.to(device)\n", + " mag = cat.magnitudes_njy\n", " new_order = [3, 0, 2, 1, 5, 4] # change giruyz to ugrizy\n", " mag = mag[..., new_order]\n", " is_galaxy = cat.galaxy_bools.to(device)\n", @@ -423,10 +411,9 @@ " pred_rs = torch.zeros_like(mag[..., 0])\n", " for i in range(len(mag)):\n", " if is_galaxy[i][0]: \n", - " x = mag[i].unsqueeze(0) # 1, 6\n", - " a = reg.net(x) # 1, 1\n", - " pred_rs[i] = reg.net(mag[i].unsqueeze(0)).squeeze(0)\n", - " pred_rs = pred_rs.to(cat.device)\n", + " x = mag[i].unsqueeze(0).to(device) # 1, 6\n", + " pred_rs[i] = reg.net(x).squeeze(0)\n", + " pred_rs = pred_rs.to('cpu')\n", " pred_rs = {\"redshifts\": pred_rs.reshape((N, H, W, M, 1))}\n", "\n", " cat[\"redshifts\"] = pred_rs[\"redshifts\"]\n", @@ -442,17 +429,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 65, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 1%| | 17/3125 [00:13<41:10, 1.26it/s] \n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[65], line 8\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m batch_idx, batch \u001b[38;5;129;01min\u001b[39;00m tqdm(\u001b[38;5;28menumerate\u001b[39m(dataset\u001b[38;5;241m.\u001b[39mtest_dataloader()), total\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mlen\u001b[39m(dataset\u001b[38;5;241m.\u001b[39mtest_dataloader())):\n\u001b[1;32m 7\u001b[0m true_cat \u001b[38;5;241m=\u001b[39m TileCatalog(tile_slen\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m4\u001b[39m, d\u001b[38;5;241m=\u001b[39mbatch[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtile_catalog\u001b[39m\u001b[38;5;124m\"\u001b[39m])\u001b[38;5;241m.\u001b[39mget_brightest_sources_per_tile() \u001b[38;5;66;03m# TODO tile_slen\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m est_cat \u001b[38;5;241m=\u001b[39m \u001b[43mest_redshifts_with_reg_change_to_cat\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtrue_cat\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtile_slen\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m4\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;66;03m# TODO\u001b[39;00m\n\u001b[1;32m 9\u001b[0m matching \u001b[38;5;241m=\u001b[39m matcher\u001b[38;5;241m.\u001b[39mmatch_catalogs(true_cat, est_cat)\n\u001b[1;32m 10\u001b[0m metrics\u001b[38;5;241m.\u001b[39mupdate(true_cat, est_cat, matching)\n", + "Cell \u001b[0;32mIn[64], line 24\u001b[0m, in \u001b[0;36mest_redshifts_with_reg_change_to_cat\u001b[0;34m(cat, reg, tile_slen, min_flux_for_loss, reference_band)\u001b[0m\n\u001b[1;32m 22\u001b[0m pred_rs \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mzeros_like(mag[\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m, \u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m 23\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;28mlen\u001b[39m(mag)):\n\u001b[0;32m---> 24\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_galaxy[i][\u001b[38;5;241m0\u001b[39m]: \n\u001b[1;32m 25\u001b[0m x \u001b[38;5;241m=\u001b[39m mag[i]\u001b[38;5;241m.\u001b[39munsqueeze(\u001b[38;5;241m0\u001b[39m)\u001b[38;5;241m.\u001b[39mto(device) \u001b[38;5;66;03m# 1, 6\u001b[39;00m\n\u001b[1;32m 26\u001b[0m pred_rs[i] \u001b[38;5;241m=\u001b[39m reg\u001b[38;5;241m.\u001b[39mnet(x)\u001b[38;5;241m.\u001b[39msqueeze(\u001b[38;5;241m0\u001b[39m)\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], "source": [ - "gt_output_path = output_dir / \"gt_output_all.pkl\"\n", + "gt_output_path = output_dir / \"gt_output_large_split.pkl\"\n", "if not gt_output_path.exists():\n", - " metrics = instantiate(notebook_cfg.encoder.metrics)\n", + " metrics = instantiate(notebook_cfg.encoder.mode_metrics)\n", " matcher = instantiate(notebook_cfg.encoder.matcher)\n", " metrics.reset()\n", " for batch_idx, batch in tqdm(enumerate(dataset.test_dataloader()), total=len(dataset.test_dataloader())):\n", - " true_cat = TileCatalog(tile_slen=4, d=batch[\"tile_catalog\"]) # TODO tile_slen\n", + " true_cat = TileCatalog(tile_slen=4, d=batch[\"tile_catalog\"]).get_brightest_sources_per_tile() # TODO tile_slen\n", " est_cat = est_redshifts_with_reg_change_to_cat(true_cat, reg, tile_slen=4)# TODO\n", " matching = matcher.match_catalogs(true_cat, est_cat)\n", " metrics.update(true_cat, est_cat, matching)\n", @@ -468,18 +475,93 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 66, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([1558.])\n", + "total num of pts: tensor([1097., 214., 93., 44., 27., 83.])\n" + ] + } + ], "source": [ - "bliss_out_dict" + "gt_out_dict = metrics.compute()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 67, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'redshifts/bias': 0.0015320874517783523,\n", + " 'redshifts/bias_bin_0': 0.035242751240730286,\n", + " 'redshifts/bias_bin_1': 0.03236996755003929,\n", + " 'redshifts/bias_bin_2': -0.0847649797797203,\n", + " 'redshifts/bias_bin_3': -0.13588908314704895,\n", + " 'redshifts/bias_bin_4': -0.3549913763999939,\n", + " 'redshifts/bias_bin_5': -0.42632851004600525,\n", + " 'redshifts/mse': 0.6808290481567383,\n", + " 'redshifts/mse_bin_0': 0.7461842894554138,\n", + " 'redshifts/mse_bin_1': 0.6050657033920288,\n", + " 'redshifts/mse_bin_2': 0.3564600348472595,\n", + " 'redshifts/mse_bin_3': 0.35045117139816284,\n", + " 'redshifts/mse_bin_4': 0.40822356939315796,\n", + " 'redshifts/mse_bin_5': 0.6396496891975403,\n", + " 'redshifts/nmad': 0.375105082988739,\n", + " 'redshifts/nmad_bin_0': 0.36841270327568054,\n", + " 'redshifts/nmad_bin_1': 0.41357719898223877,\n", + " 'redshifts/nmad_bin_2': 0.3797951340675354,\n", + " 'redshifts/nmad_bin_3': 0.3699125349521637,\n", + " 'redshifts/nmad_bin_4': 0.3016704320907593,\n", + " 'redshifts/nmad_bin_5': 0.6098409295082092,\n", + " 'redshifts/outlier_fraction': 0.7631579041481018,\n", + " 'redshifts/outlier_fraction_bin_0': 0.7611668109893799,\n", + " 'redshifts/outlier_fraction_bin_1': 0.7897196412086487,\n", + " 'redshifts/outlier_fraction_bin_2': 0.7526881694793701,\n", + " 'redshifts/outlier_fraction_bin_3': 0.7045454382896423,\n", + " 'redshifts/outlier_fraction_bin_4': 0.7777777910232544,\n", + " 'redshifts/outlier_fraction_bin_5': 0.759036123752594,\n", + " 'redshifts/outlier_fraction_cata': 0.18228498101234436,\n", + " 'redshifts/outlier_fraction_cata_bin_0': 0.20510482788085938,\n", + " 'redshifts/outlier_fraction_cata_bin_1': 0.16355140507221222,\n", + " 'redshifts/outlier_fraction_cata_bin_2': 0.01075268816202879,\n", + " 'redshifts/outlier_fraction_cata_bin_3': 0.06818182021379471,\n", + " 'redshifts/outlier_fraction_cata_bin_4': 0.0,\n", + " 'redshifts/outlier_fraction_cata_bin_5': 0.2409638613462448}" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gt_out_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'plt' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m metrics \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmse\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnmad\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124moutlier_fraction_cata\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124moutlier_fraction\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbias\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m----> 2\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m \u001b[43mplt\u001b[49m\u001b[38;5;241m.\u001b[39msubplots(\u001b[38;5;28mlen\u001b[39m(metrics), figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m10\u001b[39m, \u001b[38;5;241m30\u001b[39m))\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i, metric \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(metrics):\n\u001b[1;32m 4\u001b[0m flux_ranges \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[100-200]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[200-400]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[400-600]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[600-1000]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[>1000]\u001b[39m\u001b[38;5;124m'\u001b[39m]\n", + "\u001b[0;31mNameError\u001b[0m: name 'plt' is not defined" + ] + } + ], "source": [ "metrics = ['mse', 'nmad', 'outlier_fraction_cata', 'outlier_fraction', 'bias']\n", "fig, ax = plt.subplots(len(metrics), figsize=(10, 30))\n", @@ -495,7 +577,7 @@ " ax[i].set_xlabel('Flux Range')\n", " ax[i].set_ylabel(metric)\n", " ax[i].set_title(f'{metric} per Flux Range')\n", - " ax[i].legend()\n", + " ax[i].legend(loc=\"upper right\")\n", "plt.show()" ] }, @@ -517,7 +599,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -613,14 +695,14 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "import torch\n", "\n", "from bliss.catalog import FullCatalog, SourceType, TileCatalog\n", - "from bliss.surveys.dc2 import from_wcs_header_str_to_wcs\n", + "from bliss.surveys.dc2 import wcs_from_wcs_header_str\n", "\n", "def concatenate_tile_dicts(tile_dict_list):\n", " output_tile_cat_dict = {}\n", @@ -653,7 +735,7 @@ " if wcs_header_str != self.buffered_wcs_header_str:\n", " lsst_ra = self.lsst_data[\"ra\"]\n", " lsst_dec = self.lsst_data[\"dec\"]\n", - " cur_image_wcs = from_wcs_header_str_to_wcs(wcs_header_str)\n", + " cur_image_wcs = wcs_from_wcs_header_str(wcs_header_str)\n", " lsst_plocs = FullCatalog.plocs_from_ra_dec(lsst_ra, lsst_dec, cur_image_wcs)\n", " self.buffered_wcs_header_str = wcs_header_str\n", " self.buffered_lsst_plocs = lsst_plocs\n", @@ -712,13 +794,13 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ - "lsst_output_path = output_dir / \"lsst_output_all.pkl\"\n", + "lsst_output_path = output_dir / \"lsst_output_large_split.pkl\"\n", "if not lsst_output_path.exists():\n", - " metrics = instantiate(notebook_cfg.encoder.metrics)\n", + " metrics = instantiate(notebook_cfg.encoder.mode_metrics)\n", " matcher = instantiate(notebook_cfg.encoder.matcher)\n", " metrics.reset()\n", " # args\n", @@ -730,14 +812,15 @@ " tiles_to_crop = 1\n", "\n", " lsst_predictor = LSSTPredictor(lsst_root_dir, r_band_min_flux, tile_slen, max_sources_per_tile, tiles_to_crop)\n", - " for batch_idx, batch in tqdm(enumerate(dataset.val_dataloader()), total=len(dataset.test_dataloader())):\n", - " true_cat = TileCatalog(tile_slen=4, d=batch[\"tile_catalog\"])\n", + " for batch_idx, batch in tqdm(enumerate(dataset.test_dataloader()), total=len(dataset.test_dataloader())):\n", + " true_cat = TileCatalog(tile_slen=4, d=batch[\"tile_catalog\"]).get_brightest_sources_per_tile()\n", " lsst_cat = lsst_predictor.predict(batch[\"wcs_header_str\"], image_lim, batch[\"image_height_index\"], batch[\"image_width_index\"])\n", - " lsst_cat = lsst_cat.to_full_catalog()\n", " est_cat = est_redshifts_with_reg_change_to_cat(lsst_cat, reg, tile_slen=4)\n", + " est_cat = est_cat.to_full_catalog()\n", + " true_cat = true_cat.to_full_catalog()\n", " matching = matcher.match_catalogs(true_cat, est_cat)\n", " metrics.update(true_cat, est_cat, matching)\n", - "\n", + " print(metrics.compute())\n", " lsst_out_dict = metrics.compute()\n", "\n", " with open(lsst_output_path, \"wb\") as outp: # Overwrites any existing file.\n", @@ -749,6400 +832,25353 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 113, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - " 2%|▏ | 6/383 [04:12<6:42:31, 64.06s/it]" + " 0%| | 1/1563 [00:08<3:32:11, 8.15s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([1220.])\n", - "{'redshifts/mse': 0.2829994857311249}\n" + "total num of pts: tensor([61.])\n", + "total num of pts: tensor([13., 24., 8., 3., 2., 11.])\n", + "{'redshifts/bias_abs': 0.04317736253142357, 'redshifts/bias_abs_bin_0': 0.09870784729719162, 'redshifts/bias_abs_bin_1': 0.08257830888032913, 'redshifts/bias_abs_bin_2': 0.02365175075829029, 'redshifts/bias_abs_bin_3': 0.016156893223524094, 'redshifts/bias_abs_bin_4': 0.0061971996910870075, 'redshifts/bias_abs_bin_5': 0.018932612612843513, 'redshifts/bias': 0.006539211142808199, 'redshifts/bias_bin_0': 0.022179365158081055, 'redshifts/bias_bin_1': 0.029039448127150536, 'redshifts/bias_bin_2': -0.02365175075829029, 'redshifts/bias_bin_3': 0.016156893223524094, 'redshifts/bias_bin_4': -0.7796229720115662, 'redshifts/bias_bin_5': 0.005185812711715698, 'redshifts/mse': 0.22802583873271942, 'redshifts/mse_bin_0': 0.08865662664175034, 'redshifts/mse_bin_1': 0.477445513010025, 'redshifts/mse_bin_2': 0.04592141509056091, 'redshifts/mse_bin_3': 0.0018119961023330688, 'redshifts/mse_bin_4': 0.4264930486679077, 'redshifts/mse_bin_5': 0.006595801096409559, 'redshifts/nmad': 0.06556624174118042, 'redshifts/nmad_bin_0': 0.12567688524723053, 'redshifts/nmad_bin_1': 0.09892509132623672, 'redshifts/nmad_bin_2': 0.03646046295762062, 'redshifts/nmad_bin_3': 0.0016291713109239936, 'redshifts/nmad_bin_4': 0.0, 'redshifts/nmad_bin_5': 0.03575797751545906, 'redshifts/outlier_fraction': 0.2950819730758667, 'redshifts/outlier_fraction_bin_0': 0.38461539149284363, 'redshifts/outlier_fraction_bin_1': 0.4166666567325592, 'redshifts/outlier_fraction_bin_2': 0.125, 'redshifts/outlier_fraction_bin_3': 0.0, 'redshifts/outlier_fraction_bin_4': 0.5, 'redshifts/outlier_fraction_bin_5': 0.09090909361839294, 'redshifts/outlier_fraction_cata': 0.06557376682758331, 'redshifts/outlier_fraction_cata_bin_0': 0.0, 'redshifts/outlier_fraction_cata_bin_1': 0.1666666716337204, 'redshifts/outlier_fraction_cata_bin_2': 0.0, 'redshifts/outlier_fraction_cata_bin_3': 0.0, 'redshifts/outlier_fraction_cata_bin_4': 0.0, 'redshifts/outlier_fraction_cata_bin_5': 0.0}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 2%|▏ | 7/383 [07:38<10:38:29, 101.89s/it]" + " 0%| | 2/1563 [00:13<2:44:51, 6.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([1405.])\n", - "{'redshifts/mse': 0.2839999794960022}\n" + "total num of pts: tensor([122.])\n", + "total num of pts: tensor([34., 39., 17., 7., 3., 22.])\n", + "{'redshifts/bias_abs': 0.06420139223337173, 'redshifts/bias_abs_bin_0': 0.09870784729719162, 'redshifts/bias_abs_bin_1': 0.07958200573921204, 'redshifts/bias_abs_bin_2': 0.0735602155327797, 'redshifts/bias_abs_bin_3': 0.024056268855929375, 'redshifts/bias_abs_bin_4': 0.44907236099243164, 'redshifts/bias_abs_bin_5': 0.018932612612843513, 'redshifts/bias': 0.006211717147380114, 'redshifts/bias_bin_0': 0.03612789884209633, 'redshifts/bias_bin_1': 0.029039448127150536, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': 0.016156893223524094, 'redshifts/bias_bin_4': -0.44907236099243164, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.28886207938194275, 'redshifts/mse_bin_0': 0.3589097559452057, 'redshifts/mse_bin_1': 0.5242950320243835, 'redshifts/mse_bin_2': 0.05619512498378754, 'redshifts/mse_bin_3': 0.005270031746476889, 'redshifts/mse_bin_4': 0.4839231073856354, 'redshifts/mse_bin_5': 0.00667085824534297, 'redshifts/nmad': 0.08916017413139343, 'redshifts/nmad_bin_0': 0.17594493925571442, 'redshifts/nmad_bin_1': 0.10089866816997528, 'redshifts/nmad_bin_2': 0.1089031994342804, 'redshifts/nmad_bin_3': 0.01553335040807724, 'redshifts/nmad_bin_4': 0.4900743365287781, 'redshifts/nmad_bin_5': 0.02644003927707672, 'redshifts/outlier_fraction': 0.26229506731033325, 'redshifts/outlier_fraction_bin_0': 0.38235294818878174, 'redshifts/outlier_fraction_bin_1': 0.3333333432674408, 'redshifts/outlier_fraction_bin_2': 0.1764705926179886, 'redshifts/outlier_fraction_bin_3': 0.0, 'redshifts/outlier_fraction_bin_4': 0.6666666865348816, 'redshifts/outlier_fraction_bin_5': 0.04545454680919647, 'redshifts/outlier_fraction_cata': 0.08196721225976944, 'redshifts/outlier_fraction_cata_bin_0': 0.0882352963089943, 'redshifts/outlier_fraction_cata_bin_1': 0.1794871836900711, 'redshifts/outlier_fraction_cata_bin_2': 0.0, 'redshifts/outlier_fraction_cata_bin_3': 0.0, 'redshifts/outlier_fraction_cata_bin_4': 0.0, 'redshifts/outlier_fraction_cata_bin_5': 0.0}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 2%|▏ | 8/383 [11:27<14:15:18, 136.85s/it]" + " 0%| | 3/1563 [00:17<2:21:50, 5.46s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([1613.])\n", - "{'redshifts/mse': 0.28922975063323975}\n" + "total num of pts: tensor([209.])\n", + "total num of pts: tensor([66., 60., 28., 13., 6., 36.])\n", + "{'redshifts/bias_abs': 0.07391010969877243, 'redshifts/bias_abs_bin_0': 0.1548011302947998, 'redshifts/bias_abs_bin_1': 0.08134447038173676, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.024929791688919067, 'redshifts/bias_abs_bin_4': 0.030704017728567123, 'redshifts/bias_abs_bin_5': 0.02722463198006153, 'redshifts/bias': 0.006211717147380114, 'redshifts/bias_bin_0': 0.03612789884209633, 'redshifts/bias_bin_1': 0.02479412406682968, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': 0.016156893223524094, 'redshifts/bias_bin_4': -0.030704017728567123, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.3656168282032013, 'redshifts/mse_bin_0': 0.5096446871757507, 'redshifts/mse_bin_1': 0.3942866623401642, 'redshifts/mse_bin_2': 0.07087111473083496, 'redshifts/mse_bin_3': 0.40832722187042236, 'redshifts/mse_bin_4': 0.2451196163892746, 'redshifts/mse_bin_5': 0.28768905997276306, 'redshifts/nmad': 0.11322110146284103, 'redshifts/nmad_bin_0': 0.2237028032541275, 'redshifts/nmad_bin_1': 0.10904299467802048, 'redshifts/nmad_bin_2': 0.09556324779987335, 'redshifts/nmad_bin_3': 0.02426242083311081, 'redshifts/nmad_bin_4': 0.0760807991027832, 'redshifts/nmad_bin_5': 0.04199269041419029, 'redshifts/outlier_fraction': 0.2966507077217102, 'redshifts/outlier_fraction_bin_0': 0.5151515007019043, 'redshifts/outlier_fraction_bin_1': 0.28333333134651184, 'redshifts/outlier_fraction_bin_2': 0.1428571492433548, 'redshifts/outlier_fraction_bin_3': 0.07692307978868484, 'redshifts/outlier_fraction_bin_4': 0.3333333432674408, 'redshifts/outlier_fraction_bin_5': 0.1111111119389534, 'redshifts/outlier_fraction_cata': 0.10047847032546997, 'redshifts/outlier_fraction_cata_bin_0': 0.1515151560306549, 'redshifts/outlier_fraction_cata_bin_1': 0.11666666716337204, 'redshifts/outlier_fraction_cata_bin_2': 0.0, 'redshifts/outlier_fraction_cata_bin_3': 0.07692307978868484, 'redshifts/outlier_fraction_cata_bin_4': 0.0, 'redshifts/outlier_fraction_cata_bin_5': 0.0833333358168602}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 2%|▏ | 9/383 [15:04<16:34:28, 159.54s/it]" + " 0%| | 4/1563 [00:23<2:24:22, 5.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([1817.])\n", - "{'redshifts/mse': 0.29322031140327454}\n" + "total num of pts: tensor([281.])\n", + "total num of pts: tensor([95., 73., 36., 18., 10., 49.])\n", + "{'redshifts/bias_abs': 0.07738219201564789, 'redshifts/bias_abs_bin_0': 0.1470949500799179, 'redshifts/bias_abs_bin_1': 0.09775082021951675, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.02663399465382099, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02722463198006153, 'redshifts/bias': 0.006539211142808199, 'redshifts/bias_bin_0': 0.023168528452515602, 'redshifts/bias_bin_1': 0.03685573488473892, 'redshifts/bias_bin_2': 0.009422825649380684, 'redshifts/bias_bin_3': 0.011594765819609165, 'redshifts/bias_bin_4': -0.030704017728567123, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.37961864471435547, 'redshifts/mse_bin_0': 0.48930615186691284, 'redshifts/mse_bin_1': 0.46039801836013794, 'redshifts/mse_bin_2': 0.1344691962003708, 'redshifts/mse_bin_3': 0.4776960015296936, 'redshifts/mse_bin_4': 0.18611150979995728, 'redshifts/mse_bin_5': 0.23018695414066315, 'redshifts/nmad': 0.11479450762271881, 'redshifts/nmad_bin_0': 0.21295824646949768, 'redshifts/nmad_bin_1': 0.14651311933994293, 'redshifts/nmad_bin_2': 0.0963272973895073, 'redshifts/nmad_bin_3': 0.030979739502072334, 'redshifts/nmad_bin_4': 0.10490339994430542, 'redshifts/nmad_bin_5': 0.04199269041419029, 'redshifts/outlier_fraction': 0.33096083998680115, 'redshifts/outlier_fraction_bin_0': 0.49473685026168823, 'redshifts/outlier_fraction_bin_1': 0.36986300349235535, 'redshifts/outlier_fraction_bin_2': 0.1944444477558136, 'redshifts/outlier_fraction_bin_3': 0.1666666716337204, 'redshifts/outlier_fraction_bin_4': 0.30000001192092896, 'redshifts/outlier_fraction_bin_5': 0.12244898080825806, 'redshifts/outlier_fraction_cata': 0.10676156729459763, 'redshifts/outlier_fraction_cata_bin_0': 0.13684210181236267, 'redshifts/outlier_fraction_cata_bin_1': 0.13698630034923553, 'redshifts/outlier_fraction_cata_bin_2': 0.0555555559694767, 'redshifts/outlier_fraction_cata_bin_3': 0.1111111119389534, 'redshifts/outlier_fraction_cata_bin_4': 0.0, 'redshifts/outlier_fraction_cata_bin_5': 0.06122449040412903}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 3%|▎ | 10/383 [18:24<17:44:20, 171.21s/it]" + " 0%| | 5/1563 [00:30<2:35:52, 6.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([2017.])\n", - "{'redshifts/mse': 0.2950949966907501}\n" + "total num of pts: tensor([340.])\n", + "total num of pts: tensor([115., 89., 44., 21., 12., 59.])\n", + "{'redshifts/bias_abs': 0.07391010969877243, 'redshifts/bias_abs_bin_0': 0.14082016050815582, 'redshifts/bias_abs_bin_1': 0.09709466993808746, 'redshifts/bias_abs_bin_2': 0.06031863018870354, 'redshifts/bias_abs_bin_3': 0.032490313053131104, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.029838448390364647, 'redshifts/bias': 0.006288137286901474, 'redshifts/bias_bin_0': 0.024998193606734276, 'redshifts/bias_bin_1': 0.03685573488473892, 'redshifts/bias_bin_2': 0.00447638938203454, 'redshifts/bias_bin_3': -0.00020788604160770774, 'redshifts/bias_bin_4': -0.030704017728567123, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.3509448170661926, 'redshifts/mse_bin_0': 0.44255441427230835, 'redshifts/mse_bin_1': 0.46604254841804504, 'redshifts/mse_bin_2': 0.1130450963973999, 'redshifts/mse_bin_3': 0.4158199727535248, 'redshifts/mse_bin_4': 0.15599781274795532, 'redshifts/mse_bin_5': 0.19273750483989716, 'redshifts/nmad': 0.10813477635383606, 'redshifts/nmad_bin_0': 0.19899821281433105, 'redshifts/nmad_bin_1': 0.14465609192848206, 'redshifts/nmad_bin_2': 0.09469190984964371, 'redshifts/nmad_bin_3': 0.048478350043296814, 'redshifts/nmad_bin_4': 0.09723466634750366, 'redshifts/nmad_bin_5': 0.04260903224349022, 'redshifts/outlier_fraction': 0.31470587849617004, 'redshifts/outlier_fraction_bin_0': 0.47826087474823, 'redshifts/outlier_fraction_bin_1': 0.37078651785850525, 'redshifts/outlier_fraction_bin_2': 0.15909090638160706, 'redshifts/outlier_fraction_bin_3': 0.1428571492433548, 'redshifts/outlier_fraction_bin_4': 0.25, 'redshifts/outlier_fraction_bin_5': 0.10169491171836853, 'redshifts/outlier_fraction_cata': 0.09705882519483566, 'redshifts/outlier_fraction_cata_bin_0': 0.12173912674188614, 'redshifts/outlier_fraction_cata_bin_1': 0.13483145833015442, 'redshifts/outlier_fraction_cata_bin_2': 0.04545454680919647, 'redshifts/outlier_fraction_cata_bin_3': 0.095238097012043, 'redshifts/outlier_fraction_cata_bin_4': 0.0, 'redshifts/outlier_fraction_cata_bin_5': 0.050847455859184265}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 3%|▎ | 11/383 [21:41<18:29:04, 178.88s/it]" + " 0%| | 6/1563 [00:35<2:31:41, 5.85s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([2203.])\n", - "{'redshifts/mse': 0.28720027208328247}\n" + "total num of pts: tensor([411.])\n", + "total num of pts: tensor([135., 110., 54., 30., 14., 68.])\n", + "{'redshifts/bias_abs': 0.07391010969877243, 'redshifts/bias_abs_bin_0': 0.12722203135490417, 'redshifts/bias_abs_bin_1': 0.09352179616689682, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.02663399465382099, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.025433365255594254, 'redshifts/bias': 0.006624399684369564, 'redshifts/bias_bin_0': 0.03418132662773132, 'redshifts/bias_bin_1': 0.04027383401989937, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.005023621954023838, 'redshifts/bias_bin_4': -0.0348176546394825, 'redshifts/bias_bin_5': -0.0007522428059019148, 'redshifts/mse': 0.32189592719078064, 'redshifts/mse_bin_0': 0.4215575158596039, 'redshifts/mse_bin_1': 0.4211038053035736, 'redshifts/mse_bin_2': 0.10301793366670609, 'redshifts/mse_bin_3': 0.33550548553466797, 'redshifts/mse_bin_4': 0.13451196253299713, 'redshifts/mse_bin_5': 0.16994482278823853, 'redshifts/nmad': 0.10793285071849823, 'redshifts/nmad_bin_0': 0.19490614533424377, 'redshifts/nmad_bin_1': 0.14144545793533325, 'redshifts/nmad_bin_2': 0.09556324779987335, 'redshifts/nmad_bin_3': 0.046935584396123886, 'redshifts/nmad_bin_4': 0.08217968046665192, 'redshifts/nmad_bin_5': 0.036592233926057816, 'redshifts/outlier_fraction': 0.3041362464427948, 'redshifts/outlier_fraction_bin_0': 0.4444444477558136, 'redshifts/outlier_fraction_bin_1': 0.37272727489471436, 'redshifts/outlier_fraction_bin_2': 0.1666666716337204, 'redshifts/outlier_fraction_bin_3': 0.1666666716337204, 'redshifts/outlier_fraction_bin_4': 0.2142857164144516, 'redshifts/outlier_fraction_bin_5': 0.10294117778539658, 'redshifts/outlier_fraction_cata': 0.09002432972192764, 'redshifts/outlier_fraction_cata_bin_0': 0.11851851642131805, 'redshifts/outlier_fraction_cata_bin_1': 0.12727272510528564, 'redshifts/outlier_fraction_cata_bin_2': 0.03703703731298447, 'redshifts/outlier_fraction_cata_bin_3': 0.06666667014360428, 'redshifts/outlier_fraction_cata_bin_4': 0.0, 'redshifts/outlier_fraction_cata_bin_5': 0.04411764815449715}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 3%|▎ | 12/383 [25:13<19:24:46, 188.37s/it]" + " 0%| | 7/1563 [00:39<2:16:34, 5.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([2401.])\n", - "{'redshifts/mse': 0.2854820787906647}\n" + "total num of pts: tensor([484.])\n", + "total num of pts: tensor([171., 123., 62., 32., 20., 76.])\n", + "{'redshifts/bias_abs': 0.07873748242855072, 'redshifts/bias_abs_bin_0': 0.13187886774539948, 'redshifts/bias_abs_bin_1': 0.09775082021951675, 'redshifts/bias_abs_bin_2': 0.06834521144628525, 'redshifts/bias_abs_bin_3': 0.032490313053131104, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.025433365255594254, 'redshifts/bias': 0.006211717147380114, 'redshifts/bias_bin_0': 0.03418132662773132, 'redshifts/bias_bin_1': 0.03685573488473892, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.005023621954023838, 'redshifts/bias_bin_4': -0.021342091262340546, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.38086628913879395, 'redshifts/mse_bin_0': 0.48778894543647766, 'redshifts/mse_bin_1': 0.522273063659668, 'redshifts/mse_bin_2': 0.1410304605960846, 'redshifts/mse_bin_3': 0.3383091390132904, 'redshifts/mse_bin_4': 0.2772587537765503, 'redshifts/mse_bin_5': 0.1522739976644516, 'redshifts/nmad': 0.11620090901851654, 'redshifts/nmad_bin_0': 0.20200714468955994, 'redshifts/nmad_bin_1': 0.15531191229820251, 'redshifts/nmad_bin_2': 0.1002972200512886, 'redshifts/nmad_bin_3': 0.047419920563697815, 'redshifts/nmad_bin_4': 0.062200818210840225, 'redshifts/nmad_bin_5': 0.03607805445790291, 'redshifts/outlier_fraction': 0.32851240038871765, 'redshifts/outlier_fraction_bin_0': 0.46783626079559326, 'redshifts/outlier_fraction_bin_1': 0.3983739912509918, 'redshifts/outlier_fraction_bin_2': 0.19354838132858276, 'redshifts/outlier_fraction_bin_3': 0.21875, 'redshifts/outlier_fraction_bin_4': 0.20000000298023224, 'redshifts/outlier_fraction_bin_5': 0.09210526198148727, 'redshifts/outlier_fraction_cata': 0.10537189990282059, 'redshifts/outlier_fraction_cata_bin_0': 0.14035087823867798, 'redshifts/outlier_fraction_cata_bin_1': 0.1463414579629898, 'redshifts/outlier_fraction_cata_bin_2': 0.04838709533214569, 'redshifts/outlier_fraction_cata_bin_3': 0.0625, 'redshifts/outlier_fraction_cata_bin_4': 0.05000000074505806, 'redshifts/outlier_fraction_cata_bin_5': 0.03947368264198303}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 3%|▎ | 13/383 [28:40<19:57:13, 194.14s/it]" + " 1%| | 8/1563 [00:44<2:13:16, 5.14s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([2604.])\n", - "{'redshifts/mse': 0.2850421369075775}\n" + "total num of pts: tensor([540.])\n", + "total num of pts: tensor([197., 131., 70., 33., 22., 87.])\n", + "{'redshifts/bias_abs': 0.08071961253881454, 'redshifts/bias_abs_bin_0': 0.14082016050815582, 'redshifts/bias_abs_bin_1': 0.10230362415313721, 'redshifts/bias_abs_bin_2': 0.06834521144628525, 'redshifts/bias_abs_bin_3': 0.03269846364855766, 'redshifts/bias_abs_bin_4': 0.03766520693898201, 'redshifts/bias_abs_bin_5': 0.02722463198006153, 'redshifts/bias': 0.011437494307756424, 'redshifts/bias_bin_0': 0.04864666983485222, 'redshifts/bias_bin_1': 0.04027383401989937, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.021342091262340546, 'redshifts/bias_bin_5': -0.0007522428059019148, 'redshifts/mse': 0.3884154260158539, 'redshifts/mse_bin_0': 0.5079067945480347, 'redshifts/mse_bin_1': 0.5250134468078613, 'redshifts/mse_bin_2': 0.15938223898410797, 'redshifts/mse_bin_3': 0.36605527997016907, 'redshifts/mse_bin_4': 0.2522701323032379, 'redshifts/mse_bin_5': 0.13934965431690216, 'redshifts/nmad': 0.12409868091344833, 'redshifts/nmad_bin_0': 0.21692581474781036, 'redshifts/nmad_bin_1': 0.17354291677474976, 'redshifts/nmad_bin_2': 0.09948818385601044, 'redshifts/nmad_bin_3': 0.053277283906936646, 'redshifts/nmad_bin_4': 0.062200818210840225, 'redshifts/nmad_bin_5': 0.04063510149717331, 'redshifts/outlier_fraction': 0.33888888359069824, 'redshifts/outlier_fraction_bin_0': 0.4771573543548584, 'redshifts/outlier_fraction_bin_1': 0.4198473393917084, 'redshifts/outlier_fraction_bin_2': 0.18571428954601288, 'redshifts/outlier_fraction_bin_3': 0.24242424964904785, 'redshifts/outlier_fraction_bin_4': 0.1818181872367859, 'redshifts/outlier_fraction_bin_5': 0.1034482792019844, 'redshifts/outlier_fraction_cata': 0.10925926268100739, 'redshifts/outlier_fraction_cata_bin_0': 0.1421319842338562, 'redshifts/outlier_fraction_cata_bin_1': 0.15267175436019897, 'redshifts/outlier_fraction_cata_bin_2': 0.05714285746216774, 'redshifts/outlier_fraction_cata_bin_3': 0.09090909361839294, 'redshifts/outlier_fraction_cata_bin_4': 0.04545454680919647, 'redshifts/outlier_fraction_cata_bin_5': 0.03448275849223137}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 4%|▎ | 14/383 [32:10<20:21:28, 198.61s/it]" + " 1%| | 9/1563 [00:51<2:24:18, 5.57s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([2804.])\n", - "{'redshifts/mse': 0.2759419083595276}\n" + "total num of pts: tensor([621.])\n", + "total num of pts: tensor([216., 154., 84., 37., 24., 106.])\n", + "{'redshifts/bias_abs': 0.07982296496629715, 'redshifts/bias_abs_bin_0': 0.14776936173439026, 'redshifts/bias_abs_bin_1': 0.11124774068593979, 'redshifts/bias_abs_bin_2': 0.06845114380121231, 'redshifts/bias_abs_bin_3': 0.03269846364855766, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.029028018936514854, 'redshifts/bias': 0.011983007192611694, 'redshifts/bias_bin_0': 0.03708640858530998, 'redshifts/bias_bin_1': 0.04473336040973663, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.005023621954023838, 'redshifts/bias_bin_4': 0.0061971996910870075, 'redshifts/bias_bin_5': -0.0005372464656829834, 'redshifts/mse': 0.37947872281074524, 'redshifts/mse_bin_0': 0.5071269869804382, 'redshifts/mse_bin_1': 0.510908305644989, 'redshifts/mse_bin_2': 0.18263784050941467, 'redshifts/mse_bin_3': 0.3736521303653717, 'redshifts/mse_bin_4': 0.23165208101272583, 'redshifts/mse_bin_5': 0.11991193145513535, 'redshifts/nmad': 0.12419184297323227, 'redshifts/nmad_bin_0': 0.2131548672914505, 'redshifts/nmad_bin_1': 0.16699127852916718, 'redshifts/nmad_bin_2': 0.10009128600358963, 'redshifts/nmad_bin_3': 0.051958728581666946, 'redshifts/nmad_bin_4': 0.05301826074719429, 'redshifts/nmad_bin_5': 0.04344196245074272, 'redshifts/outlier_fraction': 0.34621578454971313, 'redshifts/outlier_fraction_bin_0': 0.49537035822868347, 'redshifts/outlier_fraction_bin_1': 0.4285714328289032, 'redshifts/outlier_fraction_bin_2': 0.2142857164144516, 'redshifts/outlier_fraction_bin_3': 0.2432432472705841, 'redshifts/outlier_fraction_bin_4': 0.1666666716337204, 'redshifts/outlier_fraction_bin_5': 0.1037735864520073, 'redshifts/outlier_fraction_cata': 0.11272141337394714, 'redshifts/outlier_fraction_cata_bin_0': 0.1527777761220932, 'redshifts/outlier_fraction_cata_bin_1': 0.14935064315795898, 'redshifts/outlier_fraction_cata_bin_2': 0.0714285746216774, 'redshifts/outlier_fraction_cata_bin_3': 0.10810811072587967, 'redshifts/outlier_fraction_cata_bin_4': 0.0416666679084301, 'redshifts/outlier_fraction_cata_bin_5': 0.028301887214183807}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 4%|▍ | 15/383 [35:43<20:45:08, 203.01s/it]" + " 1%| | 10/1563 [00:57<2:27:10, 5.69s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([3004.])\n", - "{'redshifts/mse': 0.2769933342933655}\n" + "total num of pts: tensor([688.])\n", + "total num of pts: tensor([241., 166., 89., 44., 24., 124.])\n", + "{'redshifts/bias_abs': 0.07789525389671326, 'redshifts/bias_abs_bin_0': 0.14179366827011108, 'redshifts/bias_abs_bin_1': 0.09889206290245056, 'redshifts/bias_abs_bin_2': 0.06845114380121231, 'redshifts/bias_abs_bin_3': 0.03269846364855766, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.029028018936514854, 'redshifts/bias': 0.011026826687157154, 'redshifts/bias_bin_0': 0.03418132662773132, 'redshifts/bias_bin_1': 0.04317736253142357, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': 0.0061971996910870075, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.36667400598526, 'redshifts/mse_bin_0': 0.4907244145870209, 'redshifts/mse_bin_1': 0.48225921392440796, 'redshifts/mse_bin_2': 0.1731470227241516, 'redshifts/mse_bin_3': 0.3198200464248657, 'redshifts/mse_bin_4': 0.23165208101272583, 'redshifts/mse_bin_5': 0.15250256657600403, 'redshifts/nmad': 0.11878782510757446, 'redshifts/nmad_bin_0': 0.21198007464408875, 'redshifts/nmad_bin_1': 0.1641644835472107, 'redshifts/nmad_bin_2': 0.10009128600358963, 'redshifts/nmad_bin_3': 0.053277283906936646, 'redshifts/nmad_bin_4': 0.05301826074719429, 'redshifts/nmad_bin_5': 0.04260903224349022, 'redshifts/outlier_fraction': 0.3343023359775543, 'redshifts/outlier_fraction_bin_0': 0.48547717928886414, 'redshifts/outlier_fraction_bin_1': 0.40361446142196655, 'redshifts/outlier_fraction_bin_2': 0.20224718749523163, 'redshifts/outlier_fraction_bin_3': 0.22727273404598236, 'redshifts/outlier_fraction_bin_4': 0.1666666716337204, 'redshifts/outlier_fraction_bin_5': 0.11290322244167328, 'redshifts/outlier_fraction_cata': 0.11046511679887772, 'redshifts/outlier_fraction_cata_bin_0': 0.14937759935855865, 'redshifts/outlier_fraction_cata_bin_1': 0.14457830786705017, 'redshifts/outlier_fraction_cata_bin_2': 0.06741572916507721, 'redshifts/outlier_fraction_cata_bin_3': 0.09090909361839294, 'redshifts/outlier_fraction_cata_bin_4': 0.0416666679084301, 'redshifts/outlier_fraction_cata_bin_5': 0.04032257944345474}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 4%|▍ | 16/383 [39:08<20:45:47, 203.67s/it]" + " 1%| | 11/1563 [01:01<2:20:38, 5.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([3182.])\n", - "{'redshifts/mse': 0.27461814880371094}\n" + "total num of pts: tensor([753.])\n", + "total num of pts: tensor([261., 183., 96., 48., 28., 137.])\n", + "{'redshifts/bias_abs': 0.07688840478658676, 'redshifts/bias_abs_bin_0': 0.1470949500799179, 'redshifts/bias_abs_bin_1': 0.09775082021951675, 'redshifts/bias_abs_bin_2': 0.06814432889223099, 'redshifts/bias_abs_bin_3': 0.040069304406642914, 'redshifts/bias_abs_bin_4': 0.03766520693898201, 'redshifts/bias_abs_bin_5': 0.02816024236381054, 'redshifts/bias': 0.009422825649380684, 'redshifts/bias_bin_0': 0.03708640858530998, 'redshifts/bias_bin_1': 0.03148982673883438, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.005023621954023838, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': 0.0009926001075655222, 'redshifts/mse': 0.3535056412220001, 'redshifts/mse_bin_0': 0.4913834035396576, 'redshifts/mse_bin_1': 0.44794419407844543, 'redshifts/mse_bin_2': 0.17690426111221313, 'redshifts/mse_bin_3': 0.2973655164241791, 'redshifts/mse_bin_4': 0.20659169554710388, 'redshifts/mse_bin_5': 0.13813135027885437, 'redshifts/nmad': 0.11463987827301025, 'redshifts/nmad_bin_0': 0.2131548672914505, 'redshifts/nmad_bin_1': 0.14772969484329224, 'redshifts/nmad_bin_2': 0.09963640570640564, 'redshifts/nmad_bin_3': 0.05592676252126694, 'redshifts/nmad_bin_4': 0.05649252235889435, 'redshifts/nmad_bin_5': 0.04156531020998955, 'redshifts/outlier_fraction': 0.32802125811576843, 'redshifts/outlier_fraction_bin_0': 0.49042144417762756, 'redshifts/outlier_fraction_bin_1': 0.37704917788505554, 'redshifts/outlier_fraction_bin_2': 0.2083333283662796, 'redshifts/outlier_fraction_bin_3': 0.2291666716337204, 'redshifts/outlier_fraction_bin_4': 0.1785714328289032, 'redshifts/outlier_fraction_bin_5': 0.10218977928161621, 'redshifts/outlier_fraction_cata': 0.11022576689720154, 'redshifts/outlier_fraction_cata_bin_0': 0.15708811581134796, 'redshifts/outlier_fraction_cata_bin_1': 0.13661202788352966, 'redshifts/outlier_fraction_cata_bin_2': 0.0729166641831398, 'redshifts/outlier_fraction_cata_bin_3': 0.0833333358168602, 'redshifts/outlier_fraction_cata_bin_4': 0.0357142873108387, 'redshifts/outlier_fraction_cata_bin_5': 0.036496348679065704}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 4%|▍ | 17/383 [42:35<20:47:49, 204.56s/it]" + " 1%| | 12/1563 [01:07<2:20:07, 5.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([3370.])\n", - "{'redshifts/mse': 0.2775980234146118}\n" + "total num of pts: tensor([821.])\n", + "total num of pts: tensor([290., 197., 99., 51., 34., 150.])\n", + "{'redshifts/bias_abs': 0.078252874314785, 'redshifts/bias_abs_bin_0': 0.14263629913330078, 'redshifts/bias_abs_bin_1': 0.09889206290245056, 'redshifts/bias_abs_bin_2': 0.06814432889223099, 'redshifts/bias_abs_bin_3': 0.05203434079885483, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02722463198006153, 'redshifts/bias': 0.010314642451703548, 'redshifts/bias_bin_0': 0.03708640858530998, 'redshifts/bias_bin_1': 0.03148982673883438, 'redshifts/bias_bin_2': 0.0017497100634500384, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0007522428059019148, 'redshifts/mse': 0.3486545979976654, 'redshifts/mse_bin_0': 0.48791661858558655, 'redshifts/mse_bin_1': 0.43549078702926636, 'redshifts/mse_bin_2': 0.1826608031988144, 'redshifts/mse_bin_3': 0.2832249104976654, 'redshifts/mse_bin_4': 0.21939051151275635, 'redshifts/mse_bin_5': 0.12647190690040588, 'redshifts/nmad': 0.11970434337854385, 'redshifts/nmad_bin_0': 0.208144873380661, 'redshifts/nmad_bin_1': 0.15187594294548035, 'redshifts/nmad_bin_2': 0.09843666106462479, 'redshifts/nmad_bin_3': 0.07666018605232239, 'redshifts/nmad_bin_4': 0.06495361775159836, 'redshifts/nmad_bin_5': 0.04063510149717331, 'redshifts/outlier_fraction': 0.32886722683906555, 'redshifts/outlier_fraction_bin_0': 0.48620688915252686, 'redshifts/outlier_fraction_bin_1': 0.3807106614112854, 'redshifts/outlier_fraction_bin_2': 0.21212121844291687, 'redshifts/outlier_fraction_bin_3': 0.21568627655506134, 'redshifts/outlier_fraction_bin_4': 0.23529411852359772, 'redshifts/outlier_fraction_bin_5': 0.09333333373069763, 'redshifts/outlier_fraction_cata': 0.10840438306331635, 'redshifts/outlier_fraction_cata_bin_0': 0.15172414481639862, 'redshifts/outlier_fraction_cata_bin_1': 0.13197968900203705, 'redshifts/outlier_fraction_cata_bin_2': 0.08080808073282242, 'redshifts/outlier_fraction_cata_bin_3': 0.0784313753247261, 'redshifts/outlier_fraction_cata_bin_4': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_5': 0.03333333507180214}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 5%|▍ | 18/383 [46:08<21:00:02, 207.13s/it]" + " 1%| | 13/1563 [01:11<2:11:48, 5.10s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([3579.])\n", - "{'redshifts/mse': 0.27918562293052673}\n" + "total num of pts: tensor([907.])\n", + "total num of pts: tensor([323., 225., 105., 54., 34., 166.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.13947953283786774, 'redshifts/bias_abs_bin_1': 0.09352179616689682, 'redshifts/bias_abs_bin_2': 0.06814432889223099, 'redshifts/bias_abs_bin_3': 0.040069304406642914, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02475377544760704, 'redshifts/bias': 0.009738924913108349, 'redshifts/bias_bin_0': 0.03456380218267441, 'redshifts/bias_bin_1': 0.03683556988835335, 'redshifts/bias_bin_2': 0.0017497100634500384, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.331159770488739, 'redshifts/mse_bin_0': 0.4635419249534607, 'redshifts/mse_bin_1': 0.4063703715801239, 'redshifts/mse_bin_2': 0.17356422543525696, 'redshifts/mse_bin_3': 0.2682231366634369, 'redshifts/mse_bin_4': 0.21939051151275635, 'redshifts/mse_bin_5': 0.114680714905262, 'redshifts/nmad': 0.11303059756755829, 'redshifts/nmad_bin_0': 0.20318721234798431, 'redshifts/nmad_bin_1': 0.14129458367824554, 'redshifts/nmad_bin_2': 0.09843666106462479, 'redshifts/nmad_bin_3': 0.054299600422382355, 'redshifts/nmad_bin_4': 0.06495361775159836, 'redshifts/nmad_bin_5': 0.03578770533204079, 'redshifts/outlier_fraction': 0.3186328411102295, 'redshifts/outlier_fraction_bin_0': 0.4736842215061188, 'redshifts/outlier_fraction_bin_1': 0.36444443464279175, 'redshifts/outlier_fraction_bin_2': 0.20000000298023224, 'redshifts/outlier_fraction_bin_3': 0.20370370149612427, 'redshifts/outlier_fraction_bin_4': 0.23529411852359772, 'redshifts/outlier_fraction_bin_5': 0.08433734625577927, 'redshifts/outlier_fraction_cata': 0.10253582894802094, 'redshifts/outlier_fraction_cata_bin_0': 0.13931888341903687, 'redshifts/outlier_fraction_cata_bin_1': 0.12888889014720917, 'redshifts/outlier_fraction_cata_bin_2': 0.07619047909975052, 'redshifts/outlier_fraction_cata_bin_3': 0.07407407462596893, 'redshifts/outlier_fraction_cata_bin_4': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_5': 0.0301204826682806}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 5%|▍ | 19/383 [49:43<21:11:17, 209.55s/it]" + " 1%| | 14/1563 [01:16<2:11:59, 5.11s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([3751.])\n", - "{'redshifts/mse': 0.2762680947780609}\n" + "total num of pts: tensor([982.])\n", + "total num of pts: tensor([351., 242., 115., 56., 35., 183.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.14033053815364838, 'redshifts/bias_abs_bin_1': 0.09204958379268646, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02475377544760704, 'redshifts/bias': 0.009738924913108349, 'redshifts/bias_bin_0': 0.038320399820804596, 'redshifts/bias_bin_1': 0.031063443049788475, 'redshifts/bias_bin_2': 0.008904588408768177, 'redshifts/bias_bin_3': -0.00020788604160770774, 'redshifts/bias_bin_4': 0.0061971996910870075, 'redshifts/bias_bin_5': -0.0017560801934450865, 'redshifts/mse': 0.3303118348121643, 'redshifts/mse_bin_0': 0.4723442792892456, 'redshifts/mse_bin_1': 0.3883324861526489, 'redshifts/mse_bin_2': 0.19177597761154175, 'redshifts/mse_bin_3': 0.25969648361206055, 'redshifts/mse_bin_4': 0.213179349899292, 'redshifts/mse_bin_5': 0.11223174631595612, 'redshifts/nmad': 0.11459162086248398, 'redshifts/nmad_bin_0': 0.20814372599124908, 'redshifts/nmad_bin_1': 0.14681518077850342, 'redshifts/nmad_bin_2': 0.09709562361240387, 'redshifts/nmad_bin_3': 0.06634455174207687, 'redshifts/nmad_bin_4': 0.05301826074719429, 'redshifts/nmad_bin_5': 0.03616765886545181, 'redshifts/outlier_fraction': 0.3207739293575287, 'redshifts/outlier_fraction_bin_0': 0.47863247990608215, 'redshifts/outlier_fraction_bin_1': 0.3636363744735718, 'redshifts/outlier_fraction_bin_2': 0.20000000298023224, 'redshifts/outlier_fraction_bin_3': 0.1964285671710968, 'redshifts/outlier_fraction_bin_4': 0.22857142984867096, 'redshifts/outlier_fraction_bin_5': 0.09289617836475372, 'redshifts/outlier_fraction_cata': 0.10183299332857132, 'redshifts/outlier_fraction_cata_bin_0': 0.14245013892650604, 'redshifts/outlier_fraction_cata_bin_1': 0.11983471363782883, 'redshifts/outlier_fraction_cata_bin_2': 0.0782608687877655, 'redshifts/outlier_fraction_cata_bin_3': 0.0714285746216774, 'redshifts/outlier_fraction_cata_bin_4': 0.05714285746216774, 'redshifts/outlier_fraction_cata_bin_5': 0.032786883413791656}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 5%|▌ | 20/383 [53:14<21:09:36, 209.85s/it]" + " 1%| | 15/1563 [01:21<2:11:10, 5.08s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([3960.])\n", - "{'redshifts/mse': 0.27258771657943726}\n" + "total num of pts: tensor([1052.])\n", + "total num of pts: tensor([376., 266., 123., 57., 37., 193.])\n", + "{'redshifts/bias_abs': 0.07737306505441666, 'redshifts/bias_abs_bin_0': 0.14033053815364838, 'redshifts/bias_abs_bin_1': 0.09667549282312393, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.05203434079885483, 'redshifts/bias_abs_bin_4': 0.03766520693898201, 'redshifts/bias_abs_bin_5': 0.024218037724494934, 'redshifts/bias': 0.009738924913108349, 'redshifts/bias_bin_0': 0.038320399820804596, 'redshifts/bias_bin_1': 0.031205225735902786, 'redshifts/bias_bin_2': 0.00447638938203454, 'redshifts/bias_bin_3': 0.00015504164912272245, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0017560801934450865, 'redshifts/mse': 0.33000868558883667, 'redshifts/mse_bin_0': 0.4765244722366333, 'redshifts/mse_bin_1': 0.3796798884868622, 'redshifts/mse_bin_2': 0.18374432623386383, 'redshifts/mse_bin_3': 0.2869730591773987, 'redshifts/mse_bin_4': 0.20183703303337097, 'redshifts/mse_bin_5': 0.10660653561353683, 'redshifts/nmad': 0.11483482271432877, 'redshifts/nmad_bin_0': 0.20875674486160278, 'redshifts/nmad_bin_1': 0.14693446457386017, 'redshifts/nmad_bin_2': 0.09578718990087509, 'redshifts/nmad_bin_3': 0.07691624760627747, 'redshifts/nmad_bin_4': 0.057218581438064575, 'redshifts/nmad_bin_5': 0.034715354442596436, 'redshifts/outlier_fraction': 0.32319390773773193, 'redshifts/outlier_fraction_bin_0': 0.48138296604156494, 'redshifts/outlier_fraction_bin_1': 0.36466166377067566, 'redshifts/outlier_fraction_bin_2': 0.19512194395065308, 'redshifts/outlier_fraction_bin_3': 0.21052631735801697, 'redshifts/outlier_fraction_bin_4': 0.21621622145175934, 'redshifts/outlier_fraction_bin_5': 0.09326425194740295, 'redshifts/outlier_fraction_cata': 0.10361216962337494, 'redshifts/outlier_fraction_cata_bin_0': 0.15159574151039124, 'redshifts/outlier_fraction_cata_bin_1': 0.11278195679187775, 'redshifts/outlier_fraction_cata_bin_2': 0.0731707289814949, 'redshifts/outlier_fraction_cata_bin_3': 0.08771929889917374, 'redshifts/outlier_fraction_cata_bin_4': 0.054054055362939835, 'redshifts/outlier_fraction_cata_bin_5': 0.031088082119822502}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 5%|▌ | 21/383 [56:45<21:08:16, 210.21s/it]" + " 1%| | 16/1563 [01:27<2:11:56, 5.12s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([4167.])\n", - "{'redshifts/mse': 0.2704818546772003}\n" + "total num of pts: tensor([1139.])\n", + "total num of pts: tensor([408., 286., 132., 63., 40., 210.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14082016050815582, 'redshifts/bias_abs_bin_1': 0.09352179616689682, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.0085381381213665, 'redshifts/bias_bin_0': 0.038320399820804596, 'redshifts/bias_bin_1': 0.030686672776937485, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': 0.003392108017578721, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0020442595705389977, 'redshifts/mse': 0.3304283320903778, 'redshifts/mse_bin_0': 0.46664801239967346, 'redshifts/mse_bin_1': 0.3737817704677582, 'redshifts/mse_bin_2': 0.24952100217342377, 'redshifts/mse_bin_3': 0.2766276001930237, 'redshifts/mse_bin_4': 0.19854362308979034, 'redshifts/mse_bin_5': 0.09884669631719589, 'redshifts/nmad': 0.11453613638877869, 'redshifts/nmad_bin_0': 0.21132534742355347, 'redshifts/nmad_bin_1': 0.146165668964386, 'redshifts/nmad_bin_2': 0.09582134336233139, 'redshifts/nmad_bin_3': 0.06443589180707932, 'redshifts/nmad_bin_4': 0.05649252235889435, 'redshifts/nmad_bin_5': 0.0344388484954834, 'redshifts/outlier_fraction': 0.32045653462409973, 'redshifts/outlier_fraction_bin_0': 0.4852941036224365, 'redshifts/outlier_fraction_bin_1': 0.3461538553237915, 'redshifts/outlier_fraction_bin_2': 0.21212121844291687, 'redshifts/outlier_fraction_bin_3': 0.2063492089509964, 'redshifts/outlier_fraction_bin_4': 0.22499999403953552, 'redshifts/outlier_fraction_bin_5': 0.08571428805589676, 'redshifts/outlier_fraction_cata': 0.10184372216463089, 'redshifts/outlier_fraction_cata_bin_0': 0.14705882966518402, 'redshifts/outlier_fraction_cata_bin_1': 0.10839160531759262, 'redshifts/outlier_fraction_cata_bin_2': 0.0833333358168602, 'redshifts/outlier_fraction_cata_bin_3': 0.095238097012043, 'redshifts/outlier_fraction_cata_bin_4': 0.05000000074505806, 'redshifts/outlier_fraction_cata_bin_5': 0.02857142873108387}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 6%|▌ | 22/383 [1:00:18<21:10:45, 211.21s/it]" + " 1%| | 17/1563 [01:32<2:13:25, 5.18s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([4358.])\n", - "{'redshifts/mse': 0.271992951631546}\n" + "total num of pts: tensor([1220.])\n", + "total num of pts: tensor([434., 308., 142., 69., 41., 226.])\n", + "{'redshifts/bias_abs': 0.07439469546079636, 'redshifts/bias_abs_bin_0': 0.13947953283786774, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.06031863018870354, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.006624399684369564, 'redshifts/bias_bin_0': 0.03441818803548813, 'redshifts/bias_bin_1': 0.031063443049788475, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': 0.003392108017578721, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0017560801934450865, 'redshifts/mse': 0.31877371668815613, 'redshifts/mse_bin_0': 0.4592879116535187, 'redshifts/mse_bin_1': 0.3580649197101593, 'redshifts/mse_bin_2': 0.2322886884212494, 'redshifts/mse_bin_3': 0.25426915287971497, 'redshifts/mse_bin_4': 0.19382601976394653, 'redshifts/mse_bin_5': 0.09209082275629044, 'redshifts/nmad': 0.11085550487041473, 'redshifts/nmad_bin_0': 0.2121007889509201, 'redshifts/nmad_bin_1': 0.14189642667770386, 'redshifts/nmad_bin_2': 0.09082277864217758, 'redshifts/nmad_bin_3': 0.06679157167673111, 'redshifts/nmad_bin_4': 0.06422755867242813, 'redshifts/nmad_bin_5': 0.034096382558345795, 'redshifts/outlier_fraction': 0.31147539615631104, 'redshifts/outlier_fraction_bin_0': 0.47926267981529236, 'redshifts/outlier_fraction_bin_1': 0.33766233921051025, 'redshifts/outlier_fraction_bin_2': 0.19718310236930847, 'redshifts/outlier_fraction_bin_3': 0.18840579688549042, 'redshifts/outlier_fraction_bin_4': 0.2195121943950653, 'redshifts/outlier_fraction_bin_5': 0.0796460211277008, 'redshifts/outlier_fraction_cata': 0.09836065769195557, 'redshifts/outlier_fraction_cata_bin_0': 0.14516128599643707, 'redshifts/outlier_fraction_cata_bin_1': 0.10389610379934311, 'redshifts/outlier_fraction_cata_bin_2': 0.07746478915214539, 'redshifts/outlier_fraction_cata_bin_3': 0.08695652335882187, 'redshifts/outlier_fraction_cata_bin_4': 0.04878048598766327, 'redshifts/outlier_fraction_cata_bin_5': 0.02654867246747017}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 6%|▌ | 23/383 [1:03:46<21:00:24, 210.07s/it]" + " 1%| | 18/1563 [01:37<2:10:19, 5.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([4548.])\n", - "{'redshifts/mse': 0.27400505542755127}\n" + "total num of pts: tensor([1295.])\n", + "total num of pts: tensor([465., 330., 149., 72., 42., 237.])\n", + "{'redshifts/bias_abs': 0.07555018365383148, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.06031863018870354, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02455303817987442, 'redshifts/bias': 0.00591768603771925, 'redshifts/bias_bin_0': 0.032566480338573456, 'redshifts/bias_bin_1': 0.031063443049788475, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': 0.0030214213766157627, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.002539128065109253, 'redshifts/mse': 0.3166153132915497, 'redshifts/mse_bin_0': 0.45790907740592957, 'redshifts/mse_bin_1': 0.3544771671295166, 'redshifts/mse_bin_2': 0.2258504331111908, 'redshifts/mse_bin_3': 0.24388641119003296, 'redshifts/mse_bin_4': 0.18921971321105957, 'redshifts/mse_bin_5': 0.08840906620025635, 'redshifts/nmad': 0.11329491436481476, 'redshifts/nmad_bin_0': 0.2150275558233261, 'redshifts/nmad_bin_1': 0.14464633166790009, 'redshifts/nmad_bin_2': 0.09041813760995865, 'redshifts/nmad_bin_3': 0.06388631463050842, 'redshifts/nmad_bin_4': 0.05649252235889435, 'redshifts/nmad_bin_5': 0.03587630018591881, 'redshifts/outlier_fraction': 0.318918913602829, 'redshifts/outlier_fraction_bin_0': 0.49247312545776367, 'redshifts/outlier_fraction_bin_1': 0.3424242436885834, 'redshifts/outlier_fraction_bin_2': 0.20134228467941284, 'redshifts/outlier_fraction_bin_3': 0.1805555522441864, 'redshifts/outlier_fraction_bin_4': 0.2142857164144516, 'redshifts/outlier_fraction_bin_5': 0.08016877621412277, 'redshifts/outlier_fraction_cata': 0.09652509540319443, 'redshifts/outlier_fraction_cata_bin_0': 0.14193548262119293, 'redshifts/outlier_fraction_cata_bin_1': 0.10303030163049698, 'redshifts/outlier_fraction_cata_bin_2': 0.07382550090551376, 'redshifts/outlier_fraction_cata_bin_3': 0.0833333358168602, 'redshifts/outlier_fraction_cata_bin_4': 0.0476190485060215, 'redshifts/outlier_fraction_cata_bin_5': 0.025316456332802773}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 6%|▋ | 24/383 [1:07:15<20:54:30, 209.67s/it]" + " 1%| | 19/1563 [01:41<2:04:48, 4.85s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([4742.])\n", - "{'redshifts/mse': 0.2718529999256134}\n" + "total num of pts: tensor([1388.])\n", + "total num of pts: tensor([485., 365., 158., 77., 46., 257.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14994098246097565, 'redshifts/bias_abs_bin_1': 0.09471412748098373, 'redshifts/bias_abs_bin_2': 0.06113863363862038, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.005348697770386934, 'redshifts/bias_bin_0': 0.03441818803548813, 'redshifts/bias_bin_1': 0.029039448127150536, 'redshifts/bias_bin_2': 0.0005419719382189214, 'redshifts/bias_bin_3': 0.0030214213766157627, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0026514846831560135, 'redshifts/mse': 0.3217673897743225, 'redshifts/mse_bin_0': 0.46042487025260925, 'redshifts/mse_bin_1': 0.3764238655567169, 'redshifts/mse_bin_2': 0.24575020372867584, 'redshifts/mse_bin_3': 0.22898302972316742, 'redshifts/mse_bin_4': 0.17427073419094086, 'redshifts/mse_bin_5': 0.08340726792812347, 'redshifts/nmad': 0.11435581743717194, 'redshifts/nmad_bin_0': 0.2171107977628708, 'redshifts/nmad_bin_1': 0.1457957625389099, 'redshifts/nmad_bin_2': 0.09144765883684158, 'redshifts/nmad_bin_3': 0.06624199450016022, 'redshifts/nmad_bin_4': 0.05649252235889435, 'redshifts/nmad_bin_5': 0.0337764173746109, 'redshifts/outlier_fraction': 0.32276657223701477, 'redshifts/outlier_fraction_bin_0': 0.49896907806396484, 'redshifts/outlier_fraction_bin_1': 0.3479452133178711, 'redshifts/outlier_fraction_bin_2': 0.2151898741722107, 'redshifts/outlier_fraction_bin_3': 0.1818181872367859, 'redshifts/outlier_fraction_bin_4': 0.21739129722118378, 'redshifts/outlier_fraction_bin_5': 0.08171205967664719, 'redshifts/outlier_fraction_cata': 0.09726224839687347, 'redshifts/outlier_fraction_cata_bin_0': 0.14432989060878754, 'redshifts/outlier_fraction_cata_bin_1': 0.10410959273576736, 'redshifts/outlier_fraction_cata_bin_2': 0.08227848261594772, 'redshifts/outlier_fraction_cata_bin_3': 0.07792207598686218, 'redshifts/outlier_fraction_cata_bin_4': 0.043478261679410934, 'redshifts/outlier_fraction_cata_bin_5': 0.023346303030848503}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 7%|▋ | 25/383 [1:10:47<20:56:33, 210.60s/it]" + " 1%|▏ | 20/1563 [01:47<2:10:01, 5.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([4950.])\n", - "{'redshifts/mse': 0.27389198541641235}\n" + "total num of pts: tensor([1461.])\n", + "total num of pts: tensor([514., 382., 167., 79., 47., 272.])\n", + "{'redshifts/bias_abs': 0.07706210017204285, 'redshifts/bias_abs_bin_0': 0.15002496540546417, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.005940004251897335, 'redshifts/bias_bin_0': 0.03708640858530998, 'redshifts/bias_bin_1': 0.027409391477704048, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': 0.0030214213766157627, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0017560801934450865, 'redshifts/mse': 0.3201584815979004, 'redshifts/mse_bin_0': 0.4657282829284668, 'redshifts/mse_bin_1': 0.3674065172672272, 'redshifts/mse_bin_2': 0.24457494914531708, 'redshifts/mse_bin_3': 0.2231973111629486, 'redshifts/mse_bin_4': 0.17058724164962769, 'redshifts/mse_bin_5': 0.07913138717412949, 'redshifts/nmad': 0.11523249000310898, 'redshifts/nmad_bin_0': 0.2218027263879776, 'redshifts/nmad_bin_1': 0.14652952551841736, 'redshifts/nmad_bin_2': 0.09296182543039322, 'redshifts/nmad_bin_3': 0.06388631463050842, 'redshifts/nmad_bin_4': 0.05649252235889435, 'redshifts/nmad_bin_5': 0.033984292298555374, 'redshifts/outlier_fraction': 0.323066383600235, 'redshifts/outlier_fraction_bin_0': 0.5019454956054688, 'redshifts/outlier_fraction_bin_1': 0.34554973244667053, 'redshifts/outlier_fraction_bin_2': 0.2215568870306015, 'redshifts/outlier_fraction_bin_3': 0.17721518874168396, 'redshifts/outlier_fraction_bin_4': 0.21276596188545227, 'redshifts/outlier_fraction_bin_5': 0.07720588147640228, 'redshifts/outlier_fraction_cata': 0.09719370305538177, 'redshifts/outlier_fraction_cata_bin_0': 0.14591439068317413, 'redshifts/outlier_fraction_cata_bin_1': 0.10209424048662186, 'redshifts/outlier_fraction_cata_bin_2': 0.08383233845233917, 'redshifts/outlier_fraction_cata_bin_3': 0.07594936341047287, 'redshifts/outlier_fraction_cata_bin_4': 0.042553190141916275, 'redshifts/outlier_fraction_cata_bin_5': 0.022058824077248573}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 7%|▋ | 26/383 [1:14:08<20:36:09, 207.76s/it]" + " 1%|▏ | 21/1563 [01:51<2:05:13, 4.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([5141.])\n", - "{'redshifts/mse': 0.2767364978790283}\n" + "total num of pts: tensor([1528.])\n", + "total num of pts: tensor([541., 402., 171., 82., 48., 284.])\n", + "{'redshifts/bias_abs': 0.07711009681224823, 'redshifts/bias_abs_bin_0': 0.15177014470100403, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.006950526498258114, 'redshifts/bias_bin_0': 0.038320399820804596, 'redshifts/bias_bin_1': 0.02539781853556633, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': 0.003392108017578721, 'redshifts/bias_bin_4': -0.009223381988704205, 'redshifts/bias_bin_5': -0.0016208098968490958, 'redshifts/mse': 0.31829169392585754, 'redshifts/mse_bin_0': 0.4593163728713989, 'redshifts/mse_bin_1': 0.3621443212032318, 'redshifts/mse_bin_2': 0.25590333342552185, 'redshifts/mse_bin_3': 0.22977326810359955, 'redshifts/mse_bin_4': 0.16892528533935547, 'redshifts/mse_bin_5': 0.07594439387321472, 'redshifts/nmad': 0.11549398303031921, 'redshifts/nmad_bin_0': 0.21931496262550354, 'redshifts/nmad_bin_1': 0.14292222261428833, 'redshifts/nmad_bin_2': 0.09501230716705322, 'redshifts/nmad_bin_3': 0.06443589180707932, 'redshifts/nmad_bin_4': 0.05605866387486458, 'redshifts/nmad_bin_5': 0.03429693356156349, 'redshifts/outlier_fraction': 0.32395288348197937, 'redshifts/outlier_fraction_bin_0': 0.5064694881439209, 'redshifts/outlier_fraction_bin_1': 0.34079602360725403, 'redshifts/outlier_fraction_bin_2': 0.2222222238779068, 'redshifts/outlier_fraction_bin_3': 0.18292683362960815, 'redshifts/outlier_fraction_bin_4': 0.2083333283662796, 'redshifts/outlier_fraction_bin_5': 0.07394365966320038, 'redshifts/outlier_fraction_cata': 0.09751308709383011, 'redshifts/outlier_fraction_cata_bin_0': 0.14417745172977448, 'redshifts/outlier_fraction_cata_bin_1': 0.10199005156755447, 'redshifts/outlier_fraction_cata_bin_2': 0.08771929889917374, 'redshifts/outlier_fraction_cata_bin_3': 0.08536585420370102, 'redshifts/outlier_fraction_cata_bin_4': 0.0416666679084301, 'redshifts/outlier_fraction_cata_bin_5': 0.0211267601698637}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 7%|▋ | 27/383 [1:17:34<20:29:38, 207.24s/it]" + " 1%|▏ | 22/1563 [01:55<1:57:36, 4.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([5351.])\n", - "{'redshifts/mse': 0.27592378854751587}\n" + "total num of pts: tensor([1622.])\n", + "total num of pts: tensor([574., 421., 185., 84., 52., 306.])\n", + "{'redshifts/bias_abs': 0.07688840478658676, 'redshifts/bias_abs_bin_0': 0.14994098246097565, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.06154340133070946, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.00543611915782094, 'redshifts/bias_bin_0': 0.03441818803548813, 'redshifts/bias_bin_1': 0.021906152367591858, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': 0.0030214213766157627, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.002539128065109253, 'redshifts/mse': 0.31808969378471375, 'redshifts/mse_bin_0': 0.4516077935695648, 'redshifts/mse_bin_1': 0.37300917506217957, 'redshifts/mse_bin_2': 0.26051902770996094, 'redshifts/mse_bin_3': 0.22554728388786316, 'redshifts/mse_bin_4': 0.2082771360874176, 'redshifts/mse_bin_5': 0.0709456279873848, 'redshifts/nmad': 0.11448543518781662, 'redshifts/nmad_bin_0': 0.21412640810012817, 'redshifts/nmad_bin_1': 0.14184413850307465, 'redshifts/nmad_bin_2': 0.09223397821187973, 'redshifts/nmad_bin_3': 0.06388631463050842, 'redshifts/nmad_bin_4': 0.06617191433906555, 'redshifts/nmad_bin_5': 0.03370516002178192, 'redshifts/outlier_fraction': 0.32059186697006226, 'redshifts/outlier_fraction_bin_0': 0.5, 'redshifts/outlier_fraction_bin_1': 0.3420427441596985, 'redshifts/outlier_fraction_bin_2': 0.21621622145175934, 'redshifts/outlier_fraction_bin_3': 0.1785714328289032, 'redshifts/outlier_fraction_bin_4': 0.25, 'redshifts/outlier_fraction_bin_5': 0.06862745434045792, 'redshifts/outlier_fraction_cata': 0.09741060435771942, 'redshifts/outlier_fraction_cata_bin_0': 0.1428571492433548, 'redshifts/outlier_fraction_cata_bin_1': 0.10451306402683258, 'redshifts/outlier_fraction_cata_bin_2': 0.08648648858070374, 'redshifts/outlier_fraction_cata_bin_3': 0.0833333358168602, 'redshifts/outlier_fraction_cata_bin_4': 0.057692307978868484, 'redshifts/outlier_fraction_cata_bin_5': 0.019607843831181526}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 7%|▋ | 28/383 [1:20:55<20:14:37, 205.29s/it]" + " 1%|▏ | 23/1563 [01:59<1:50:14, 4.30s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([5535.])\n", - "{'redshifts/mse': 0.2757168412208557}\n" + "total num of pts: tensor([1674.])\n", + "total num of pts: tensor([587., 436., 191., 87., 54., 319.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14994098246097565, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.06113863363862038, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.005940004251897335, 'redshifts/bias_bin_0': 0.03418132662773132, 'redshifts/bias_bin_1': 0.020600803196430206, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': 0.004182810895144939, 'redshifts/bias_bin_4': 0.0061971996910870075, 'redshifts/bias_bin_5': -0.0020442595705389977, 'redshifts/mse': 0.31831493973731995, 'redshifts/mse_bin_0': 0.44904011487960815, 'redshifts/mse_bin_1': 0.3755015730857849, 'redshifts/mse_bin_2': 0.2600730061531067, 'redshifts/mse_bin_3': 0.25403326749801636, 'redshifts/mse_bin_4': 0.20903919637203217, 'redshifts/mse_bin_5': 0.07050454616546631, 'redshifts/nmad': 0.11427383869886398, 'redshifts/nmad_bin_0': 0.21377523243427277, 'redshifts/nmad_bin_1': 0.14323613047599792, 'redshifts/nmad_bin_2': 0.0916755199432373, 'redshifts/nmad_bin_3': 0.06796387583017349, 'redshifts/nmad_bin_4': 0.06080862134695053, 'redshifts/nmad_bin_5': 0.034050434827804565, 'redshifts/outlier_fraction': 0.32078853249549866, 'redshifts/outlier_fraction_bin_0': 0.4991482198238373, 'redshifts/outlier_fraction_bin_1': 0.34403669834136963, 'redshifts/outlier_fraction_bin_2': 0.21989528834819794, 'redshifts/outlier_fraction_bin_3': 0.18390804529190063, 'redshifts/outlier_fraction_bin_4': 0.25925925374031067, 'redshifts/outlier_fraction_bin_5': 0.06896551698446274, 'redshifts/outlier_fraction_cata': 0.09737156331539154, 'redshifts/outlier_fraction_cata_bin_0': 0.13969334959983826, 'redshifts/outlier_fraction_cata_bin_1': 0.10779816657304764, 'redshifts/outlier_fraction_cata_bin_2': 0.0890052393078804, 'redshifts/outlier_fraction_cata_bin_3': 0.09195402264595032, 'redshifts/outlier_fraction_cata_bin_4': 0.0555555559694767, 'redshifts/outlier_fraction_cata_bin_5': 0.018808776512742043}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 8%|▊ | 29/383 [1:24:24<20:17:42, 206.39s/it]" + " 2%|▏ | 24/1563 [02:03<1:51:23, 4.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([5714.])\n", - "{'redshifts/mse': 0.2731398940086365}\n" + "total num of pts: tensor([1740.])\n", + "total num of pts: tensor([609., 456., 200., 88., 58., 329.])\n", + "{'redshifts/bias_abs': 0.07706210017204285, 'redshifts/bias_abs_bin_0': 0.1478569209575653, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.06113863363862038, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.022816698998212814, 'redshifts/bias': 0.005693050101399422, 'redshifts/bias_bin_0': 0.032566480338573456, 'redshifts/bias_bin_1': 0.019810620695352554, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': 0.003392108017578721, 'redshifts/bias_bin_4': -0.008257362060248852, 'redshifts/bias_bin_5': -0.0020442595705389977, 'redshifts/mse': 0.3132372200489044, 'redshifts/mse_bin_0': 0.44253334403038025, 'redshifts/mse_bin_1': 0.3674536943435669, 'redshifts/mse_bin_2': 0.259603351354599, 'redshifts/mse_bin_3': 0.2516365647315979, 'redshifts/mse_bin_4': 0.19600972533226013, 'redshifts/mse_bin_5': 0.06850363314151764, 'redshifts/nmad': 0.11390770226716995, 'redshifts/nmad_bin_0': 0.21468649804592133, 'redshifts/nmad_bin_1': 0.14409805834293365, 'redshifts/nmad_bin_2': 0.09203851222991943, 'redshifts/nmad_bin_3': 0.06679157167673111, 'redshifts/nmad_bin_4': 0.07135218381881714, 'redshifts/nmad_bin_5': 0.0336691252887249, 'redshifts/outlier_fraction': 0.3212643563747406, 'redshifts/outlier_fraction_bin_0': 0.49753695726394653, 'redshifts/outlier_fraction_bin_1': 0.3464912176132202, 'redshifts/outlier_fraction_bin_2': 0.22499999403953552, 'redshifts/outlier_fraction_bin_3': 0.1931818127632141, 'redshifts/outlier_fraction_bin_4': 0.24137930572032928, 'redshifts/outlier_fraction_bin_5': 0.06686930358409882, 'redshifts/outlier_fraction_cata': 0.0954023003578186, 'redshifts/outlier_fraction_cata_bin_0': 0.13628900051116943, 'redshifts/outlier_fraction_cata_bin_1': 0.10526315867900848, 'redshifts/outlier_fraction_cata_bin_2': 0.09000000357627869, 'redshifts/outlier_fraction_cata_bin_3': 0.09090909361839294, 'redshifts/outlier_fraction_cata_bin_4': 0.0517241396009922, 'redshifts/outlier_fraction_cata_bin_5': 0.018237082287669182}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 8%|▊ | 30/383 [1:28:00<20:31:27, 209.31s/it]" + " 2%|▏ | 25/1563 [02:08<1:56:02, 4.53s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([5922.])\n", - "{'redshifts/mse': 0.2731919586658478}\n" + "total num of pts: tensor([1810.])\n", + "total num of pts: tensor([630., 471., 210., 89., 62., 348.])\n", + "{'redshifts/bias_abs': 0.07737306505441666, 'redshifts/bias_abs_bin_0': 0.14675739407539368, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.06154340133070946, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.0059488373808562756, 'redshifts/bias_bin_0': 0.032566480338573456, 'redshifts/bias_bin_1': 0.020600803196430206, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': 0.003392108017578721, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.002539128065109253, 'redshifts/mse': 0.31463637948036194, 'redshifts/mse_bin_0': 0.43804794549942017, 'redshifts/mse_bin_1': 0.37799331545829773, 'redshifts/mse_bin_2': 0.2595365345478058, 'redshifts/mse_bin_3': 0.26351693272590637, 'redshifts/mse_bin_4': 0.2389146238565445, 'redshifts/mse_bin_5': 0.06528203934431076, 'redshifts/nmad': 0.11428692936897278, 'redshifts/nmad_bin_0': 0.2107841968536377, 'redshifts/nmad_bin_1': 0.14439840614795685, 'redshifts/nmad_bin_2': 0.0930846706032753, 'redshifts/nmad_bin_3': 0.07094139605760574, 'redshifts/nmad_bin_4': 0.07162448763847351, 'redshifts/nmad_bin_5': 0.03370516002178192, 'redshifts/outlier_fraction': 0.31878453493118286, 'redshifts/outlier_fraction_bin_0': 0.4920634925365448, 'redshifts/outlier_fraction_bin_1': 0.34819531440734863, 'redshifts/outlier_fraction_bin_2': 0.22857142984867096, 'redshifts/outlier_fraction_bin_3': 0.20224718749523163, 'redshifts/outlier_fraction_bin_4': 0.24193547666072845, 'redshifts/outlier_fraction_bin_5': 0.06321839243173599, 'redshifts/outlier_fraction_cata': 0.09668508172035217, 'redshifts/outlier_fraction_cata_bin_0': 0.1349206417798996, 'redshifts/outlier_fraction_cata_bin_1': 0.1104033961892128, 'redshifts/outlier_fraction_cata_bin_2': 0.09047619253396988, 'redshifts/outlier_fraction_cata_bin_3': 0.10112359374761581, 'redshifts/outlier_fraction_cata_bin_4': 0.06451612710952759, 'redshifts/outlier_fraction_cata_bin_5': 0.017241379246115685}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 8%|▊ | 31/383 [1:31:34<20:35:53, 210.66s/it]" + " 2%|▏ | 26/1563 [02:14<2:07:26, 4.97s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([6117.])\n", - "{'redshifts/mse': 0.27404195070266724}\n" + "total num of pts: tensor([1891.])\n", + "total num of pts: tensor([665., 492., 217., 92., 65., 360.])\n", + "{'redshifts/bias_abs': 0.07764375954866409, 'redshifts/bias_abs_bin_0': 0.1472397893667221, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.06154340133070946, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.0449172742664814, 'redshifts/bias_abs_bin_5': 0.022816698998212814, 'redshifts/bias': 0.005940004251897335, 'redshifts/bias_bin_0': 0.03170373663306236, 'redshifts/bias_bin_1': 0.019993888214230537, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': 0.0010789637453854084, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.002539128065109253, 'redshifts/mse': 0.3166651129722595, 'redshifts/mse_bin_0': 0.44164466857910156, 'redshifts/mse_bin_1': 0.37165069580078125, 'redshifts/mse_bin_2': 0.251742959022522, 'redshifts/mse_bin_3': 0.31425824761390686, 'redshifts/mse_bin_4': 0.24415741860866547, 'redshifts/mse_bin_5': 0.06349308788776398, 'redshifts/nmad': 0.11548681557178497, 'redshifts/nmad_bin_0': 0.21596559882164001, 'redshifts/nmad_bin_1': 0.14233630895614624, 'redshifts/nmad_bin_2': 0.09452829509973526, 'redshifts/nmad_bin_3': 0.06488495320081711, 'redshifts/nmad_bin_4': 0.07162448763847351, 'redshifts/nmad_bin_5': 0.03352873772382736, 'redshifts/outlier_fraction': 0.3204653561115265, 'redshifts/outlier_fraction_bin_0': 0.49473685026168823, 'redshifts/outlier_fraction_bin_1': 0.34756097197532654, 'redshifts/outlier_fraction_bin_2': 0.2211981564760208, 'redshifts/outlier_fraction_bin_3': 0.20652173459529877, 'redshifts/outlier_fraction_bin_4': 0.2461538463830948, 'redshifts/outlier_fraction_bin_5': 0.06388889253139496, 'redshifts/outlier_fraction_cata': 0.0978318378329277, 'redshifts/outlier_fraction_cata_bin_0': 0.138345867395401, 'redshifts/outlier_fraction_cata_bin_1': 0.10772357881069183, 'redshifts/outlier_fraction_cata_bin_2': 0.0875576063990593, 'redshifts/outlier_fraction_cata_bin_3': 0.10869564861059189, 'redshifts/outlier_fraction_cata_bin_4': 0.07692307978868484, 'redshifts/outlier_fraction_cata_bin_5': 0.01666666753590107}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 8%|▊ | 32/383 [1:35:02<20:26:52, 209.72s/it]" + " 2%|▏ | 27/1563 [02:19<2:05:49, 4.91s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([6303.])\n", - "{'redshifts/mse': 0.27350279688835144}\n" + "total num of pts: tensor([1981.])\n", + "total num of pts: tensor([685., 521., 231., 99., 68., 377.])\n", + "{'redshifts/bias_abs': 0.07738219201564789, 'redshifts/bias_abs_bin_0': 0.1478569209575653, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.06113863363862038, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.005336731672286987, 'redshifts/bias_bin_0': 0.03418132662773132, 'redshifts/bias_bin_1': 0.018306799232959747, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': 0.0010789637453854084, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0020902291871607304, 'redshifts/mse': 0.3147593140602112, 'redshifts/mse_bin_0': 0.44709882140159607, 'redshifts/mse_bin_1': 0.364911824464798, 'redshifts/mse_bin_2': 0.2456432431936264, 'redshifts/mse_bin_3': 0.3003024756908417, 'redshifts/mse_bin_4': 0.23347501456737518, 'redshifts/mse_bin_5': 0.06579998880624771, 'redshifts/nmad': 0.11460688710212708, 'redshifts/nmad_bin_0': 0.2138005495071411, 'redshifts/nmad_bin_1': 0.14012111723423004, 'redshifts/nmad_bin_2': 0.09392818808555603, 'redshifts/nmad_bin_3': 0.06751192361116409, 'redshifts/nmad_bin_4': 0.06495361775159836, 'redshifts/nmad_bin_5': 0.034370698034763336, 'redshifts/outlier_fraction': 0.31701162457466125, 'redshifts/outlier_fraction_bin_0': 0.4978102147579193, 'redshifts/outlier_fraction_bin_1': 0.3378118872642517, 'redshifts/outlier_fraction_bin_2': 0.21645021438598633, 'redshifts/outlier_fraction_bin_3': 0.20202019810676575, 'redshifts/outlier_fraction_bin_4': 0.23529411852359772, 'redshifts/outlier_fraction_bin_5': 0.0663129985332489, 'redshifts/outlier_fraction_cata': 0.09793033450841904, 'redshifts/outlier_fraction_cata_bin_0': 0.1430656909942627, 'redshifts/outlier_fraction_cata_bin_1': 0.10556621849536896, 'redshifts/outlier_fraction_cata_bin_2': 0.08225107938051224, 'redshifts/outlier_fraction_cata_bin_3': 0.10101009905338287, 'redshifts/outlier_fraction_cata_bin_4': 0.07352941483259201, 'redshifts/outlier_fraction_cata_bin_5': 0.018567638471722603}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 9%|▊ | 33/383 [1:38:29<20:19:49, 209.11s/it]" + " 2%|▏ | 28/1563 [02:24<2:08:01, 5.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([6484.])\n", - "{'redshifts/mse': 0.2762101888656616}\n" + "total num of pts: tensor([2048.])\n", + "total num of pts: tensor([714., 533., 240., 101., 68., 392.])\n", + "{'redshifts/bias_abs': 0.07741431891918182, 'redshifts/bias_abs_bin_0': 0.1472397893667221, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.06113863363862038, 'redshifts/bias_abs_bin_3': 0.051819972693920135, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.022816698998212814, 'redshifts/bias': 0.005602510645985603, 'redshifts/bias_bin_0': 0.03418132662773132, 'redshifts/bias_bin_1': 0.019810620695352554, 'redshifts/bias_bin_2': 0.0018601736519485712, 'redshifts/bias_bin_3': 0.000966125400736928, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.002539128065109253, 'redshifts/mse': 0.31422725319862366, 'redshifts/mse_bin_0': 0.4462983012199402, 'redshifts/mse_bin_1': 0.36355024576187134, 'redshifts/mse_bin_2': 0.24737165868282318, 'redshifts/mse_bin_3': 0.2982715964317322, 'redshifts/mse_bin_4': 0.23347501456737518, 'redshifts/mse_bin_5': 0.06565578281879425, 'redshifts/nmad': 0.11473211646080017, 'redshifts/nmad_bin_0': 0.2131783813238144, 'redshifts/nmad_bin_1': 0.14128606021404266, 'redshifts/nmad_bin_2': 0.09340203553438187, 'redshifts/nmad_bin_3': 0.07539591193199158, 'redshifts/nmad_bin_4': 0.06495361775159836, 'redshifts/nmad_bin_5': 0.03370516002178192, 'redshifts/outlier_fraction': 0.31787109375, 'redshifts/outlier_fraction_bin_0': 0.4957983195781708, 'redshifts/outlier_fraction_bin_1': 0.33771106600761414, 'redshifts/outlier_fraction_bin_2': 0.22083333134651184, 'redshifts/outlier_fraction_bin_3': 0.21782177686691284, 'redshifts/outlier_fraction_bin_4': 0.23529411852359772, 'redshifts/outlier_fraction_bin_5': 0.06632652878761292, 'redshifts/outlier_fraction_cata': 0.09765625, 'redshifts/outlier_fraction_cata_bin_0': 0.14145658910274506, 'redshifts/outlier_fraction_cata_bin_1': 0.1069418415427208, 'redshifts/outlier_fraction_cata_bin_2': 0.0833333358168602, 'redshifts/outlier_fraction_cata_bin_3': 0.09900990128517151, 'redshifts/outlier_fraction_cata_bin_4': 0.07352941483259201, 'redshifts/outlier_fraction_cata_bin_5': 0.01785714365541935}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 9%|▉ | 34/383 [1:41:16<19:02:41, 196.45s/it]" + " 2%|▏ | 29/1563 [02:29<2:10:52, 5.12s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([6689.])\n", - "{'redshifts/mse': 0.2766212522983551}\n" + "total num of pts: tensor([2125.])\n", + "total num of pts: tensor([742., 553., 252., 106., 69., 403.])\n", + "{'redshifts/bias_abs': 0.07922405004501343, 'redshifts/bias_abs_bin_0': 0.14776936173439026, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.06113863363862038, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.005348697770386934, 'redshifts/bias_bin_0': 0.03170373663306236, 'redshifts/bias_bin_1': 0.020600803196430206, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': 0.00018420291598886251, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.002539128065109253, 'redshifts/mse': 0.3189795911312103, 'redshifts/mse_bin_0': 0.4445098340511322, 'redshifts/mse_bin_1': 0.3762473165988922, 'redshifts/mse_bin_2': 0.2376037985086441, 'redshifts/mse_bin_3': 0.2849756181240082, 'redshifts/mse_bin_4': 0.2806282043457031, 'redshifts/mse_bin_5': 0.07566600292921066, 'redshifts/nmad': 0.11667603254318237, 'redshifts/nmad_bin_0': 0.21201671659946442, 'redshifts/nmad_bin_1': 0.14526958763599396, 'redshifts/nmad_bin_2': 0.0916755199432373, 'redshifts/nmad_bin_3': 0.0662115216255188, 'redshifts/nmad_bin_4': 0.06689798086881638, 'redshifts/nmad_bin_5': 0.034306518733501434, 'redshifts/outlier_fraction': 0.32329410314559937, 'redshifts/outlier_fraction_bin_0': 0.4973045885562897, 'redshifts/outlier_fraction_bin_1': 0.34900543093681335, 'redshifts/outlier_fraction_bin_2': 0.2142857164144516, 'redshifts/outlier_fraction_bin_3': 0.21698112785816193, 'redshifts/outlier_fraction_bin_4': 0.24637681245803833, 'redshifts/outlier_fraction_bin_5': 0.07692307978868484, 'redshifts/outlier_fraction_cata': 0.09882353246212006, 'redshifts/outlier_fraction_cata_bin_0': 0.14016172289848328, 'redshifts/outlier_fraction_cata_bin_1': 0.11030741780996323, 'redshifts/outlier_fraction_cata_bin_2': 0.0793650820851326, 'redshifts/outlier_fraction_cata_bin_3': 0.09433962404727936, 'redshifts/outlier_fraction_cata_bin_4': 0.08695652335882187, 'redshifts/outlier_fraction_cata_bin_5': 0.022332506254315376}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 9%|▉ | 35/383 [1:43:52<17:48:43, 184.26s/it]" + " 2%|▏ | 30/1563 [02:35<2:12:39, 5.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([6885.])\n", - "{'redshifts/mse': 0.27558615803718567}\n" + "total num of pts: tensor([2194.])\n", + "total num of pts: tensor([766., 576., 258., 108., 71., 415.])\n", + "{'redshifts/bias_abs': 0.07922405004501343, 'redshifts/bias_abs_bin_0': 0.1478569209575653, 'redshifts/bias_abs_bin_1': 0.09352179616689682, 'redshifts/bias_abs_bin_2': 0.06154340133070946, 'redshifts/bias_abs_bin_3': 0.051819972693920135, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.00543611915782094, 'redshifts/bias_bin_0': 0.032566480338573456, 'redshifts/bias_bin_1': 0.021906152367591858, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': 0.00015504164912272245, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0020442595705389977, 'redshifts/mse': 0.318594753742218, 'redshifts/mse_bin_0': 0.4420788288116455, 'redshifts/mse_bin_1': 0.3812183141708374, 'redshifts/mse_bin_2': 0.23299767076969147, 'redshifts/mse_bin_3': 0.2805190086364746, 'redshifts/mse_bin_4': 0.2728670537471771, 'redshifts/mse_bin_5': 0.0746973305940628, 'redshifts/nmad': 0.11680565029382706, 'redshifts/nmad_bin_0': 0.21140636503696442, 'redshifts/nmad_bin_1': 0.14720489084720612, 'redshifts/nmad_bin_2': 0.09223397821187973, 'redshifts/nmad_bin_3': 0.07659842073917389, 'redshifts/nmad_bin_4': 0.06689798086881638, 'redshifts/nmad_bin_5': 0.03426242992281914, 'redshifts/outlier_fraction': 0.32497721910476685, 'redshifts/outlier_fraction_bin_0': 0.498694509267807, 'redshifts/outlier_fraction_bin_1': 0.3541666567325592, 'redshifts/outlier_fraction_bin_2': 0.21317829191684723, 'redshifts/outlier_fraction_bin_3': 0.21296297013759613, 'redshifts/outlier_fraction_bin_4': 0.23943662643432617, 'redshifts/outlier_fraction_bin_5': 0.07710843533277512, 'redshifts/outlier_fraction_cata': 0.09890610724687576, 'redshifts/outlier_fraction_cata_bin_0': 0.1396866887807846, 'redshifts/outlier_fraction_cata_bin_1': 0.1128472238779068, 'redshifts/outlier_fraction_cata_bin_2': 0.07751937955617905, 'redshifts/outlier_fraction_cata_bin_3': 0.09259258955717087, 'redshifts/outlier_fraction_cata_bin_4': 0.0845070406794548, 'redshifts/outlier_fraction_cata_bin_5': 0.021686747670173645}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 9%|▉ | 36/383 [1:46:29<16:59:00, 176.20s/it]" + " 2%|▏ | 31/1563 [02:41<2:23:41, 5.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([7107.])\n", - "{'redshifts/mse': 0.2749757468700409}\n" + "total num of pts: tensor([2260.])\n", + "total num of pts: tensor([788., 590., 265., 112., 76., 429.])\n", + "{'redshifts/bias_abs': 0.07873748242855072, 'redshifts/bias_abs_bin_0': 0.15022693574428558, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.06154340133070946, 'redshifts/bias_abs_bin_3': 0.051819972693920135, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004793108440935612, 'redshifts/bias_bin_0': 0.032566480338573456, 'redshifts/bias_bin_1': 0.020600803196430206, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': -0.00020788604160770774, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0020902291871607304, 'redshifts/mse': 0.3175453245639801, 'redshifts/mse_bin_0': 0.4497840106487274, 'redshifts/mse_bin_1': 0.3728780150413513, 'redshifts/mse_bin_2': 0.23427212238311768, 'redshifts/mse_bin_3': 0.27242180705070496, 'redshifts/mse_bin_4': 0.25631749629974365, 'redshifts/mse_bin_5': 0.07261265814304352, 'redshifts/nmad': 0.11616663634777069, 'redshifts/nmad_bin_0': 0.21468649804592133, 'redshifts/nmad_bin_1': 0.14439840614795685, 'redshifts/nmad_bin_2': 0.09223397821187973, 'redshifts/nmad_bin_3': 0.07700978219509125, 'redshifts/nmad_bin_4': 0.06689798086881638, 'redshifts/nmad_bin_5': 0.034370698034763336, 'redshifts/outlier_fraction': 0.32433629035949707, 'redshifts/outlier_fraction_bin_0': 0.5025380849838257, 'redshifts/outlier_fraction_bin_1': 0.349152535200119, 'redshifts/outlier_fraction_bin_2': 0.2188679277896881, 'redshifts/outlier_fraction_bin_3': 0.2142857164144516, 'redshifts/outlier_fraction_bin_4': 0.22368420660495758, 'redshifts/outlier_fraction_bin_5': 0.07459207624197006, 'redshifts/outlier_fraction_cata': 0.0991150438785553, 'redshifts/outlier_fraction_cata_bin_0': 0.14340101182460785, 'redshifts/outlier_fraction_cata_bin_1': 0.11016949266195297, 'redshifts/outlier_fraction_cata_bin_2': 0.07924528419971466, 'redshifts/outlier_fraction_cata_bin_3': 0.0892857164144516, 'redshifts/outlier_fraction_cata_bin_4': 0.07894736528396606, 'redshifts/outlier_fraction_cata_bin_5': 0.02097902074456215}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 10%|▉ | 37/383 [1:49:10<16:28:33, 171.43s/it]" + " 2%|▏ | 32/1563 [02:49<2:37:19, 6.17s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([7307.])\n", - "{'redshifts/mse': 0.2736644148826599}\n" + "total num of pts: tensor([2334.])\n", + "total num of pts: tensor([811., 612., 272., 114., 82., 443.])\n", + "{'redshifts/bias_abs': 0.07873748242855072, 'redshifts/bias_abs_bin_0': 0.15357446670532227, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.005024822428822517, 'redshifts/bias_bin_0': 0.03418132662773132, 'redshifts/bias_bin_1': 0.019993888214230537, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': -0.00020788604160770774, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0016208098968490958, 'redshifts/mse': 0.31749778985977173, 'redshifts/mse_bin_0': 0.4571077525615692, 'redshifts/mse_bin_1': 0.3666640520095825, 'redshifts/mse_bin_2': 0.23671452701091766, 'redshifts/mse_bin_3': 0.26770663261413574, 'redshifts/mse_bin_4': 0.24038973450660706, 'redshifts/mse_bin_5': 0.07067659497261047, 'redshifts/nmad': 0.11633999645709991, 'redshifts/nmad_bin_0': 0.21673855185508728, 'redshifts/nmad_bin_1': 0.14082632958889008, 'redshifts/nmad_bin_2': 0.09296182543039322, 'redshifts/nmad_bin_3': 0.06679283082485199, 'redshifts/nmad_bin_4': 0.06495361775159836, 'redshifts/nmad_bin_5': 0.03418484330177307, 'redshifts/outlier_fraction': 0.32476434111595154, 'redshifts/outlier_fraction_bin_0': 0.5092478394508362, 'redshifts/outlier_fraction_bin_1': 0.343137264251709, 'redshifts/outlier_fraction_bin_2': 0.22794117033481598, 'redshifts/outlier_fraction_bin_3': 0.21052631735801697, 'redshifts/outlier_fraction_bin_4': 0.2073170691728592, 'redshifts/outlier_fraction_bin_5': 0.07223476469516754, 'redshifts/outlier_fraction_cata': 0.09897172451019287, 'redshifts/outlier_fraction_cata_bin_0': 0.14549937844276428, 'redshifts/outlier_fraction_cata_bin_1': 0.10947712510824203, 'redshifts/outlier_fraction_cata_bin_2': 0.07720588147640228, 'redshifts/outlier_fraction_cata_bin_3': 0.08771929889917374, 'redshifts/outlier_fraction_cata_bin_4': 0.0731707289814949, 'redshifts/outlier_fraction_cata_bin_5': 0.020316027104854584}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 10%|▉ | 38/383 [1:51:42<15:52:08, 165.59s/it]" + " 2%|▏ | 33/1563 [02:55<2:41:13, 6.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([7466.])\n", - "{'redshifts/mse': 0.273353636264801}\n" + "total num of pts: tensor([2380.])\n", + "total num of pts: tensor([828., 625., 276., 116., 84., 451.])\n", + "{'redshifts/bias_abs': 0.0791986957192421, 'redshifts/bias_abs_bin_0': 0.15022693574428558, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.005185812711715698, 'redshifts/bias_bin_0': 0.03383445367217064, 'redshifts/bias_bin_1': 0.020600803196430206, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0016208098968490958, 'redshifts/mse': 0.31410858035087585, 'redshifts/mse_bin_0': 0.45231083035469055, 'redshifts/mse_bin_1': 0.36238428950309753, 'redshifts/mse_bin_2': 0.23369711637496948, 'redshifts/mse_bin_3': 0.26398947834968567, 'redshifts/mse_bin_4': 0.23660051822662354, 'redshifts/mse_bin_5': 0.07001493871212006, 'redshifts/nmad': 0.11660498380661011, 'redshifts/nmad_bin_0': 0.21495705842971802, 'redshifts/nmad_bin_1': 0.14099521934986115, 'redshifts/nmad_bin_2': 0.09300347417593002, 'redshifts/nmad_bin_3': 0.07159177213907242, 'redshifts/nmad_bin_4': 0.06617191433906555, 'redshifts/nmad_bin_5': 0.03451480343937874, 'redshifts/outlier_fraction': 0.32226890325546265, 'redshifts/outlier_fraction_bin_0': 0.5036231875419617, 'redshifts/outlier_fraction_bin_1': 0.3407999873161316, 'redshifts/outlier_fraction_bin_2': 0.2246376872062683, 'redshifts/outlier_fraction_bin_3': 0.2068965584039688, 'redshifts/outlier_fraction_bin_4': 0.2142857164144516, 'redshifts/outlier_fraction_bin_5': 0.0731707289814949, 'redshifts/outlier_fraction_cata': 0.09789916127920151, 'redshifts/outlier_fraction_cata_bin_0': 0.14371980726718903, 'redshifts/outlier_fraction_cata_bin_1': 0.1088000014424324, 'redshifts/outlier_fraction_cata_bin_2': 0.07608695328235626, 'redshifts/outlier_fraction_cata_bin_3': 0.08620689809322357, 'redshifts/outlier_fraction_cata_bin_4': 0.0714285746216774, 'redshifts/outlier_fraction_cata_bin_5': 0.019955653697252274}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 10%|█ | 39/383 [1:54:19<15:35:38, 163.19s/it]" + " 2%|▏ | 34/1563 [03:01<2:35:00, 6.08s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([7672.])\n", - "{'redshifts/mse': 0.27207791805267334}\n" + "total num of pts: tensor([2459.])\n", + "total num of pts: tensor([852., 642., 285., 121., 89., 470.])\n", + "{'redshifts/bias_abs': 0.07922405004501343, 'redshifts/bias_abs_bin_0': 0.152486652135849, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.05203434079885483, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.005185812711715698, 'redshifts/bias_bin_0': 0.03383445367217064, 'redshifts/bias_bin_1': 0.019993888214230537, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.008257362060248852, 'redshifts/bias_bin_5': -0.0020902291871607304, 'redshifts/mse': 0.31702107191085815, 'redshifts/mse_bin_0': 0.45967912673950195, 'redshifts/mse_bin_1': 0.3584274351596832, 'redshifts/mse_bin_2': 0.23817366361618042, 'redshifts/mse_bin_3': 0.2955816686153412, 'redshifts/mse_bin_4': 0.23797187209129333, 'redshifts/mse_bin_5': 0.07015502452850342, 'redshifts/nmad': 0.1167488619685173, 'redshifts/nmad_bin_0': 0.2157103419303894, 'redshifts/nmad_bin_1': 0.139700248837471, 'redshifts/nmad_bin_2': 0.09537529945373535, 'redshifts/nmad_bin_3': 0.07666018605232239, 'redshifts/nmad_bin_4': 0.07135218381881714, 'redshifts/nmad_bin_5': 0.034370698034763336, 'redshifts/outlier_fraction': 0.32411548495292664, 'redshifts/outlier_fraction_bin_0': 0.5082159638404846, 'redshifts/outlier_fraction_bin_1': 0.33956387639045715, 'redshifts/outlier_fraction_bin_2': 0.23157894611358643, 'redshifts/outlier_fraction_bin_3': 0.21487602591514587, 'redshifts/outlier_fraction_bin_4': 0.21348313987255096, 'redshifts/outlier_fraction_bin_5': 0.07446808367967606, 'redshifts/outlier_fraction_cata': 0.09882065653800964, 'redshifts/outlier_fraction_cata_bin_0': 0.14553990960121155, 'redshifts/outlier_fraction_cata_bin_1': 0.10747663676738739, 'redshifts/outlier_fraction_cata_bin_2': 0.07719298452138901, 'redshifts/outlier_fraction_cata_bin_3': 0.09090909361839294, 'redshifts/outlier_fraction_cata_bin_4': 0.07865168899297714, 'redshifts/outlier_fraction_cata_bin_5': 0.021276595070958138}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 10%|█ | 40/383 [1:56:58<15:26:01, 161.99s/it]" + " 2%|▏ | 35/1563 [03:07<2:36:28, 6.14s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([7871.])\n", - "{'redshifts/mse': 0.2715124487876892}\n" + "total num of pts: tensor([2532.])\n", + "total num of pts: tensor([882., 657., 290., 126., 94., 483.])\n", + "{'redshifts/bias_abs': 0.07864269614219666, 'redshifts/bias_abs_bin_0': 0.1517694741487503, 'redshifts/bias_abs_bin_1': 0.08954451233148575, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.051819972693920135, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.0044107139110565186, 'redshifts/bias_bin_0': 0.03164943307638168, 'redshifts/bias_bin_1': 0.019484950229525566, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.008257362060248852, 'redshifts/bias_bin_5': -0.0022090510465204716, 'redshifts/mse': 0.312163770198822, 'redshifts/mse_bin_0': 0.4516863226890564, 'redshifts/mse_bin_1': 0.35469523072242737, 'redshifts/mse_bin_2': 0.23486410081386566, 'redshifts/mse_bin_3': 0.2849336564540863, 'redshifts/mse_bin_4': 0.22662639617919922, 'redshifts/mse_bin_5': 0.0696914941072464, 'redshifts/nmad': 0.11559969931840897, 'redshifts/nmad_bin_0': 0.21620574593544006, 'redshifts/nmad_bin_1': 0.13894571363925934, 'redshifts/nmad_bin_2': 0.09336646646261215, 'redshifts/nmad_bin_3': 0.07221084833145142, 'redshifts/nmad_bin_4': 0.06589961051940918, 'redshifts/nmad_bin_5': 0.03429475799202919, 'redshifts/outlier_fraction': 0.32306477427482605, 'redshifts/outlier_fraction_bin_0': 0.5056689381599426, 'redshifts/outlier_fraction_bin_1': 0.33637747168540955, 'redshifts/outlier_fraction_bin_2': 0.23103448748588562, 'redshifts/outlier_fraction_bin_3': 0.2142857164144516, 'redshifts/outlier_fraction_bin_4': 0.21276596188545227, 'redshifts/outlier_fraction_bin_5': 0.07660455256700516, 'redshifts/outlier_fraction_cata': 0.09715639799833298, 'redshifts/outlier_fraction_cata_bin_0': 0.14172334969043732, 'redshifts/outlier_fraction_cata_bin_1': 0.10806696861982346, 'redshifts/outlier_fraction_cata_bin_2': 0.07586207240819931, 'redshifts/outlier_fraction_cata_bin_3': 0.0873015895485878, 'redshifts/outlier_fraction_cata_bin_4': 0.07446808367967606, 'redshifts/outlier_fraction_cata_bin_5': 0.020703934133052826}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 11%|█ | 41/383 [1:59:35<15:13:33, 160.27s/it]" + " 2%|▏ | 36/1563 [03:12<2:29:24, 5.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([8080.])\n", - "{'redshifts/mse': 0.2706906795501709}\n" + "total num of pts: tensor([2592.])\n", + "total num of pts: tensor([909., 674., 292., 128., 95., 494.])\n", + "{'redshifts/bias_abs': 0.07922405004501343, 'redshifts/bias_abs_bin_0': 0.15091228485107422, 'redshifts/bias_abs_bin_1': 0.08954451233148575, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.0049438769929111, 'redshifts/bias_bin_0': 0.03441818803548813, 'redshifts/bias_bin_1': 0.01829410530626774, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.008257362060248852, 'redshifts/bias_bin_5': -0.0022222234401851892, 'redshifts/mse': 0.3099072277545929, 'redshifts/mse_bin_0': 0.4479149281978607, 'redshifts/mse_bin_1': 0.3506597876548767, 'redshifts/mse_bin_2': 0.23331119120121002, 'redshifts/mse_bin_3': 0.2806181311607361, 'redshifts/mse_bin_4': 0.22849591076374054, 'redshifts/mse_bin_5': 0.06887993216514587, 'redshifts/nmad': 0.11669587343931198, 'redshifts/nmad_bin_0': 0.21415171027183533, 'redshifts/nmad_bin_1': 0.13781306147575378, 'redshifts/nmad_bin_2': 0.09336646646261215, 'redshifts/nmad_bin_3': 0.07159177213907242, 'redshifts/nmad_bin_4': 0.07135218381881714, 'redshifts/nmad_bin_5': 0.034175001084804535, 'redshifts/outlier_fraction': 0.32407405972480774, 'redshifts/outlier_fraction_bin_0': 0.5038504004478455, 'redshifts/outlier_fraction_bin_1': 0.3382789194583893, 'redshifts/outlier_fraction_bin_2': 0.22945205867290497, 'redshifts/outlier_fraction_bin_3': 0.2109375, 'redshifts/outlier_fraction_bin_4': 0.2210526317358017, 'redshifts/outlier_fraction_bin_5': 0.07894736528396606, 'redshifts/outlier_fraction_cata': 0.09606481343507767, 'redshifts/outlier_fraction_cata_bin_0': 0.14081408083438873, 'redshifts/outlier_fraction_cata_bin_1': 0.10534124821424484, 'redshifts/outlier_fraction_cata_bin_2': 0.07534246891736984, 'redshifts/outlier_fraction_cata_bin_3': 0.0859375, 'redshifts/outlier_fraction_cata_bin_4': 0.0736842080950737, 'redshifts/outlier_fraction_cata_bin_5': 0.02024291455745697}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 11%|█ | 42/383 [2:02:08<14:58:21, 158.07s/it]" + " 2%|▏ | 37/1563 [03:17<2:15:12, 5.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([8260.])\n", - "{'redshifts/mse': 0.2720809578895569}\n" + "total num of pts: tensor([2660.])\n", + "total num of pts: tensor([928., 695., 301., 131., 96., 509.])\n", + "{'redshifts/bias_abs': 0.07917395234107971, 'redshifts/bias_abs_bin_0': 0.15002496540546417, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.005042299162596464, 'redshifts/bias_bin_0': 0.03612789884209633, 'redshifts/bias_bin_1': 0.019369110465049744, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.008257362060248852, 'redshifts/bias_bin_5': -0.002539128065109253, 'redshifts/mse': 0.3059203326702118, 'redshifts/mse_bin_0': 0.44500732421875, 'redshifts/mse_bin_1': 0.34492847323417664, 'redshifts/mse_bin_2': 0.23022793233394623, 'redshifts/mse_bin_3': 0.27453184127807617, 'redshifts/mse_bin_4': 0.22612209618091583, 'redshifts/mse_bin_5': 0.06696583330631256, 'redshifts/nmad': 0.11631408333778381, 'redshifts/nmad_bin_0': 0.21385256946086884, 'redshifts/nmad_bin_1': 0.1391691118478775, 'redshifts/nmad_bin_2': 0.09501230716705322, 'redshifts/nmad_bin_3': 0.07159177213907242, 'redshifts/nmad_bin_4': 0.06589961051940918, 'redshifts/nmad_bin_5': 0.034306518733501434, 'redshifts/outlier_fraction': 0.32218044996261597, 'redshifts/outlier_fraction_bin_0': 0.5010775923728943, 'redshifts/outlier_fraction_bin_1': 0.3395683467388153, 'redshifts/outlier_fraction_bin_2': 0.22923588752746582, 'redshifts/outlier_fraction_bin_3': 0.20610687136650085, 'redshifts/outlier_fraction_bin_4': 0.21875, 'redshifts/outlier_fraction_bin_5': 0.07662082463502884, 'redshifts/outlier_fraction_cata': 0.09473684430122375, 'redshifts/outlier_fraction_cata_bin_0': 0.14008620381355286, 'redshifts/outlier_fraction_cata_bin_1': 0.10359711945056915, 'redshifts/outlier_fraction_cata_bin_2': 0.07308970391750336, 'redshifts/outlier_fraction_cata_bin_3': 0.08396946638822556, 'redshifts/outlier_fraction_cata_bin_4': 0.0729166641831398, 'redshifts/outlier_fraction_cata_bin_5': 0.01964636519551277}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 11%|█ | 43/383 [2:04:41<14:48:31, 156.80s/it]" + " 2%|▏ | 38/1563 [03:23<2:21:32, 5.57s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([8450.])\n", - "{'redshifts/mse': 0.2741279602050781}\n" + "total num of pts: tensor([2722.])\n", + "total num of pts: tensor([960., 706., 311., 131., 99., 515.])\n", + "{'redshifts/bias_abs': 0.07967902719974518, 'redshifts/bias_abs_bin_0': 0.15015776455402374, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.06183763965964317, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.0449172742664814, 'redshifts/bias_abs_bin_5': 0.022816698998212814, 'redshifts/bias': 0.004793108440935612, 'redshifts/bias_bin_0': 0.0369919091463089, 'redshifts/bias_bin_1': 0.018274977803230286, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.008257362060248852, 'redshifts/bias_bin_5': -0.0025685131549835205, 'redshifts/mse': 0.3067382872104645, 'redshifts/mse_bin_0': 0.44948118925094604, 'redshifts/mse_bin_1': 0.34183207154273987, 'redshifts/mse_bin_2': 0.22577667236328125, 'redshifts/mse_bin_3': 0.27453184127807617, 'redshifts/mse_bin_4': 0.22055134177207947, 'redshifts/mse_bin_5': 0.06619642674922943, 'redshifts/nmad': 0.1169065535068512, 'redshifts/nmad_bin_0': 0.21572162210941315, 'redshifts/nmad_bin_1': 0.1390390545129776, 'redshifts/nmad_bin_2': 0.09267021715641022, 'redshifts/nmad_bin_3': 0.07159177213907242, 'redshifts/nmad_bin_4': 0.07169448584318161, 'redshifts/nmad_bin_5': 0.03389943018555641, 'redshifts/outlier_fraction': 0.3243938386440277, 'redshifts/outlier_fraction_bin_0': 0.5020833611488342, 'redshifts/outlier_fraction_bin_1': 0.34277620911598206, 'redshifts/outlier_fraction_bin_2': 0.22829581797122955, 'redshifts/outlier_fraction_bin_3': 0.20610687136650085, 'redshifts/outlier_fraction_bin_4': 0.2222222238779068, 'redshifts/outlier_fraction_bin_5': 0.0757281556725502, 'redshifts/outlier_fraction_cata': 0.0947832465171814, 'redshifts/outlier_fraction_cata_bin_0': 0.14166666567325592, 'redshifts/outlier_fraction_cata_bin_1': 0.10198300331830978, 'redshifts/outlier_fraction_cata_bin_2': 0.07073955237865448, 'redshifts/outlier_fraction_cata_bin_3': 0.08396946638822556, 'redshifts/outlier_fraction_cata_bin_4': 0.07070706784725189, 'redshifts/outlier_fraction_cata_bin_5': 0.019417475908994675}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 11%|█▏ | 44/383 [2:07:22<14:51:54, 157.86s/it]" + " 2%|▏ | 39/1563 [03:28<2:20:01, 5.51s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([8674.])\n", - "{'redshifts/mse': 0.2760537564754486}\n" + "total num of pts: tensor([2795.])\n", + "total num of pts: tensor([992., 720., 315., 131., 100., 537.])\n", + "{'redshifts/bias_abs': 0.07991217076778412, 'redshifts/bias_abs_bin_0': 0.152486652135849, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.06319378316402435, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.0449172742664814, 'redshifts/bias_abs_bin_5': 0.02283289097249508, 'redshifts/bias': 0.005044400691986084, 'redshifts/bias_bin_0': 0.03766477108001709, 'redshifts/bias_bin_1': 0.01552602183073759, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.002539128065109253, 'redshifts/mse': 0.30749401450157166, 'redshifts/mse_bin_0': 0.45301467180252075, 'redshifts/mse_bin_1': 0.33791378140449524, 'redshifts/mse_bin_2': 0.23606610298156738, 'redshifts/mse_bin_3': 0.27453184127807617, 'redshifts/mse_bin_4': 0.22085072100162506, 'redshifts/mse_bin_5': 0.06396190822124481, 'redshifts/nmad': 0.11753614991903305, 'redshifts/nmad_bin_0': 0.21834293007850647, 'redshifts/nmad_bin_1': 0.14011657238006592, 'redshifts/nmad_bin_2': 0.09300347417593002, 'redshifts/nmad_bin_3': 0.07159177213907242, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.03425024822354317, 'redshifts/outlier_fraction': 0.3270125091075897, 'redshifts/outlier_fraction_bin_0': 0.507056474685669, 'redshifts/outlier_fraction_bin_1': 0.3444444537162781, 'redshifts/outlier_fraction_bin_2': 0.23492063581943512, 'redshifts/outlier_fraction_bin_3': 0.20610687136650085, 'redshifts/outlier_fraction_bin_4': 0.23000000417232513, 'redshifts/outlier_fraction_bin_5': 0.07262569665908813, 'redshifts/outlier_fraction_cata': 0.09552773088216782, 'redshifts/outlier_fraction_cata_bin_0': 0.14415322244167328, 'redshifts/outlier_fraction_cata_bin_1': 0.10000000149011612, 'redshifts/outlier_fraction_cata_bin_2': 0.07619047909975052, 'redshifts/outlier_fraction_cata_bin_3': 0.08396946638822556, 'redshifts/outlier_fraction_cata_bin_4': 0.07000000029802322, 'redshifts/outlier_fraction_cata_bin_5': 0.01862197369337082}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 12%|█▏ | 45/383 [2:10:00<14:49:26, 157.89s/it]" + " 3%|▎ | 40/1563 [03:33<2:19:00, 5.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([8863.])\n", - "{'redshifts/mse': 0.2760542929172516}\n" + "total num of pts: tensor([2858.])\n", + "total num of pts: tensor([1012., 742., 322., 137., 100., 545.])\n", + "{'redshifts/bias_abs': 0.08051394671201706, 'redshifts/bias_abs_bin_0': 0.15015776455402374, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.0449172742664814, 'redshifts/bias_abs_bin_5': 0.02283289097249508, 'redshifts/bias': 0.005348697770386934, 'redshifts/bias_bin_0': 0.03766477108001709, 'redshifts/bias_bin_1': 0.01566154696047306, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.003444722155109048, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0022222234401851892, 'redshifts/mse': 0.3076973259449005, 'redshifts/mse_bin_0': 0.44709551334381104, 'redshifts/mse_bin_1': 0.3407152593135834, 'redshifts/mse_bin_2': 0.2517346739768982, 'redshifts/mse_bin_3': 0.26716771721839905, 'redshifts/mse_bin_4': 0.22085072100162506, 'redshifts/mse_bin_5': 0.06308580189943314, 'redshifts/nmad': 0.11829305440187454, 'redshifts/nmad_bin_0': 0.21714463829994202, 'redshifts/nmad_bin_1': 0.14142940938472748, 'redshifts/nmad_bin_2': 0.09501230716705322, 'redshifts/nmad_bin_3': 0.07159177213907242, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.033998578786849976, 'redshifts/outlier_fraction': 0.32750174403190613, 'redshifts/outlier_fraction_bin_0': 0.5019763112068176, 'redshifts/outlier_fraction_bin_1': 0.349056601524353, 'redshifts/outlier_fraction_bin_2': 0.239130437374115, 'redshifts/outlier_fraction_bin_3': 0.21897810697555542, 'redshifts/outlier_fraction_bin_4': 0.23000000417232513, 'redshifts/outlier_fraction_bin_5': 0.07155963033437729, 'redshifts/outlier_fraction_cata': 0.09482154995203018, 'redshifts/outlier_fraction_cata_bin_0': 0.14130434393882751, 'redshifts/outlier_fraction_cata_bin_1': 0.0997304618358612, 'redshifts/outlier_fraction_cata_bin_2': 0.08074533939361572, 'redshifts/outlier_fraction_cata_bin_3': 0.08029197156429291, 'redshifts/outlier_fraction_cata_bin_4': 0.07000000029802322, 'redshifts/outlier_fraction_cata_bin_5': 0.01834862306714058}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 12%|█▏ | 46/383 [2:12:41<14:52:00, 158.82s/it]" + " 3%|▎ | 41/1563 [03:38<2:14:00, 5.28s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([9043.])\n", - "{'redshifts/mse': 0.27582424879074097}\n" + "total num of pts: tensor([2928.])\n", + "total num of pts: tensor([1037., 758., 333., 140., 103., 557.])\n", + "{'redshifts/bias_abs': 0.07967902719974518, 'redshifts/bias_abs_bin_0': 0.15091228485107422, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.0621049664914608, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.0449172742664814, 'redshifts/bias_abs_bin_5': 0.022638672962784767, 'redshifts/bias': 0.005336731672286987, 'redshifts/bias_bin_0': 0.03622821345925331, 'redshifts/bias_bin_1': 0.01566154696047306, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0020442595705389977, 'redshifts/mse': 0.3065791726112366, 'redshifts/mse_bin_0': 0.44711512327194214, 'redshifts/mse_bin_1': 0.3405463695526123, 'redshifts/mse_bin_2': 0.248429536819458, 'redshifts/mse_bin_3': 0.2615915834903717, 'redshifts/mse_bin_4': 0.2146041989326477, 'redshifts/mse_bin_5': 0.06178997457027435, 'redshifts/nmad': 0.11749136447906494, 'redshifts/nmad_bin_0': 0.2168099284172058, 'redshifts/nmad_bin_1': 0.14142940938472748, 'redshifts/nmad_bin_2': 0.09352090954780579, 'redshifts/nmad_bin_3': 0.07050281763076782, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.033638373017311096, 'redshifts/outlier_fraction': 0.32752731442451477, 'redshifts/outlier_fraction_bin_0': 0.5033751130104065, 'redshifts/outlier_fraction_bin_1': 0.34960421919822693, 'redshifts/outlier_fraction_bin_2': 0.24024024605751038, 'redshifts/outlier_fraction_bin_3': 0.2142857164144516, 'redshifts/outlier_fraction_bin_4': 0.223300963640213, 'redshifts/outlier_fraction_bin_5': 0.07001795619726181, 'redshifts/outlier_fraction_cata': 0.09460382163524628, 'redshifts/outlier_fraction_cata_bin_0': 0.14079074561595917, 'redshifts/outlier_fraction_cata_bin_1': 0.10158311575651169, 'redshifts/outlier_fraction_cata_bin_2': 0.07807807624340057, 'redshifts/outlier_fraction_cata_bin_3': 0.07857143133878708, 'redshifts/outlier_fraction_cata_bin_4': 0.06796116381883621, 'redshifts/outlier_fraction_cata_bin_5': 0.01795332133769989}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 12%|█▏ | 47/383 [2:15:17<14:45:13, 158.08s/it]" + " 3%|▎ | 42/1563 [03:42<2:03:26, 4.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([9224.])\n", - "{'redshifts/mse': 0.2763923406600952}\n" + "total num of pts: tensor([3006.])\n", + "total num of pts: tensor([1069., 771., 342., 145., 103., 576.])\n", + "{'redshifts/bias_abs': 0.07924509793519974, 'redshifts/bias_abs_bin_0': 0.1517694741487503, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.0449172742664814, 'redshifts/bias_abs_bin_5': 0.02283289097249508, 'redshifts/bias': 0.005044400691986084, 'redshifts/bias_bin_0': 0.03456380218267441, 'redshifts/bias_bin_1': 0.01621018908917904, 'redshifts/bias_bin_2': 0.0018601736519485712, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.002127408515661955, 'redshifts/mse': 0.30363234877586365, 'redshifts/mse_bin_0': 0.442044734954834, 'redshifts/mse_bin_1': 0.33543846011161804, 'redshifts/mse_bin_2': 0.2533906102180481, 'redshifts/mse_bin_3': 0.261195570230484, 'redshifts/mse_bin_4': 0.2146041989326477, 'redshifts/mse_bin_5': 0.060612183064222336, 'redshifts/nmad': 0.11705795675516129, 'redshifts/nmad_bin_0': 0.2161715030670166, 'redshifts/nmad_bin_1': 0.14101241528987885, 'redshifts/nmad_bin_2': 0.0940021425485611, 'redshifts/nmad_bin_3': 0.0725114569067955, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.034122563898563385, 'redshifts/outlier_fraction': 0.3280106484889984, 'redshifts/outlier_fraction_bin_0': 0.5042095184326172, 'redshifts/outlier_fraction_bin_1': 0.347600519657135, 'redshifts/outlier_fraction_bin_2': 0.2426900565624237, 'redshifts/outlier_fraction_bin_3': 0.22068965435028076, 'redshifts/outlier_fraction_bin_4': 0.223300963640213, 'redshifts/outlier_fraction_bin_5': 0.0711805522441864, 'redshifts/outlier_fraction_cata': 0.0941450446844101, 'redshifts/outlier_fraction_cata_bin_0': 0.13844715058803558, 'redshifts/outlier_fraction_cata_bin_1': 0.09987030178308487, 'redshifts/outlier_fraction_cata_bin_2': 0.08479531854391098, 'redshifts/outlier_fraction_cata_bin_3': 0.08275862038135529, 'redshifts/outlier_fraction_cata_bin_4': 0.06796116381883621, 'redshifts/outlier_fraction_cata_bin_5': 0.0173611119389534}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 13%|█▎ | 48/383 [2:17:56<14:44:08, 158.35s/it]" + " 3%|▎ | 43/1563 [03:48<2:08:08, 5.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([9428.])\n", - "{'redshifts/mse': 0.2783355414867401}\n" + "total num of pts: tensor([3068.])\n", + "total num of pts: tensor([1094., 787., 346., 148., 105., 588.])\n", + "{'redshifts/bias_abs': 0.07967902719974518, 'redshifts/bias_abs_bin_0': 0.1517694741487503, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.06183763965964317, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.0449172742664814, 'redshifts/bias_abs_bin_5': 0.02283289097249508, 'redshifts/bias': 0.005042299162596464, 'redshifts/bias_bin_0': 0.03612789884209633, 'redshifts/bias_bin_1': 0.01552602183073759, 'redshifts/bias_bin_2': 0.0018601736519485712, 'redshifts/bias_bin_3': -0.010383915156126022, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0020902291871607304, 'redshifts/mse': 0.3064942955970764, 'redshifts/mse_bin_0': 0.44550496339797974, 'redshifts/mse_bin_1': 0.3371843099594116, 'redshifts/mse_bin_2': 0.2625465989112854, 'redshifts/mse_bin_3': 0.25628119707107544, 'redshifts/mse_bin_4': 0.2114534229040146, 'redshifts/mse_bin_5': 0.06225249916315079, 'redshifts/nmad': 0.11720376461744308, 'redshifts/nmad_bin_0': 0.21668653190135956, 'redshifts/nmad_bin_1': 0.14191702008247375, 'redshifts/nmad_bin_2': 0.09340203553438187, 'redshifts/nmad_bin_3': 0.07319721579551697, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.034118592739105225, 'redshifts/outlier_fraction': 0.3288787603378296, 'redshifts/outlier_fraction_bin_0': 0.5045703649520874, 'redshifts/outlier_fraction_bin_1': 0.350698858499527, 'redshifts/outlier_fraction_bin_2': 0.24277456104755402, 'redshifts/outlier_fraction_bin_3': 0.21621622145175934, 'redshifts/outlier_fraction_bin_4': 0.21904762089252472, 'redshifts/outlier_fraction_bin_5': 0.0714285746216774, 'redshifts/outlier_fraction_cata': 0.09517601132392883, 'redshifts/outlier_fraction_cata_bin_0': 0.13985374569892883, 'redshifts/outlier_fraction_cata_bin_1': 0.10038119554519653, 'redshifts/outlier_fraction_cata_bin_2': 0.08670520037412643, 'redshifts/outlier_fraction_cata_bin_3': 0.0810810774564743, 'redshifts/outlier_fraction_cata_bin_4': 0.06666667014360428, 'redshifts/outlier_fraction_cata_bin_5': 0.018707482144236565}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 13%|█▎ | 49/383 [2:20:34<14:40:00, 158.09s/it]" + " 3%|▎ | 44/1563 [03:53<2:12:28, 5.23s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([9629.])\n", - "{'redshifts/mse': 0.27730461955070496}\n" + "total num of pts: tensor([3123.])\n", + "total num of pts: tensor([1116., 805., 352., 149., 106., 595.])\n", + "{'redshifts/bias_abs': 0.07991217076778412, 'redshifts/bias_abs_bin_0': 0.15022693574428558, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.0449172742664814, 'redshifts/bias_abs_bin_5': 0.02283289097249508, 'redshifts/bias': 0.005265483632683754, 'redshifts/bias_bin_0': 0.03441818803548813, 'redshifts/bias_bin_1': 0.018306799232959747, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0020902291871607304, 'redshifts/mse': 0.3061484396457672, 'redshifts/mse_bin_0': 0.4457338750362396, 'redshifts/mse_bin_1': 0.3351692855358124, 'redshifts/mse_bin_2': 0.26140516996383667, 'redshifts/mse_bin_3': 0.25456729531288147, 'redshifts/mse_bin_4': 0.2099064141511917, 'redshifts/mse_bin_5': 0.0616062693297863, 'redshifts/nmad': 0.11854936927556992, 'redshifts/nmad_bin_0': 0.21638739109039307, 'redshifts/nmad_bin_1': 0.14412084221839905, 'redshifts/nmad_bin_2': 0.0930846706032753, 'redshifts/nmad_bin_3': 0.0707317516207695, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.034118592739105225, 'redshifts/outlier_fraction': 0.33013129234313965, 'redshifts/outlier_fraction_bin_0': 0.5026881694793701, 'redshifts/outlier_fraction_bin_1': 0.35403725504875183, 'redshifts/outlier_fraction_bin_2': 0.2443181872367859, 'redshifts/outlier_fraction_bin_3': 0.21476510167121887, 'redshifts/outlier_fraction_bin_4': 0.22641509771347046, 'redshifts/outlier_fraction_bin_5': 0.07226891070604324, 'redshifts/outlier_fraction_cata': 0.09542106837034225, 'redshifts/outlier_fraction_cata_bin_0': 0.14068099856376648, 'redshifts/outlier_fraction_cata_bin_1': 0.10062111914157867, 'redshifts/outlier_fraction_cata_bin_2': 0.08522727340459824, 'redshifts/outlier_fraction_cata_bin_3': 0.08053690940141678, 'redshifts/outlier_fraction_cata_bin_4': 0.06603773683309555, 'redshifts/outlier_fraction_cata_bin_5': 0.018487395718693733}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 13%|█▎ | 50/383 [2:23:14<14:40:27, 158.64s/it]" + " 3%|▎ | 45/1563 [04:00<2:24:47, 5.72s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([9827.])\n", - "{'redshifts/mse': 0.2763218581676483}\n" + "total num of pts: tensor([3185.])\n", + "total num of pts: tensor([1137., 817., 355., 153., 108., 615.])\n", + "{'redshifts/bias_abs': 0.079731285572052, 'redshifts/bias_abs_bin_0': 0.14994098246097565, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.06319378316402435, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.043965894728899, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.005185812711715698, 'redshifts/bias_bin_0': 0.03456380218267441, 'redshifts/bias_bin_1': 0.018274977803230286, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.010383915156126022, 'redshifts/bias_bin_4': -0.008257362060248852, 'redshifts/bias_bin_5': -0.0020902291871607304, 'redshifts/mse': 0.3044208288192749, 'redshifts/mse_bin_0': 0.44395262002944946, 'redshifts/mse_bin_1': 0.3357855975627899, 'redshifts/mse_bin_2': 0.26174190640449524, 'redshifts/mse_bin_3': 0.24840064346790314, 'redshifts/mse_bin_4': 0.2060735821723938, 'redshifts/mse_bin_5': 0.06063327193260193, 'redshifts/nmad': 0.11751256138086319, 'redshifts/nmad_bin_0': 0.21630525588989258, 'redshifts/nmad_bin_1': 0.14356349408626556, 'redshifts/nmad_bin_2': 0.09381251037120819, 'redshifts/nmad_bin_3': 0.07149564474821091, 'redshifts/nmad_bin_4': 0.07169448584318161, 'redshifts/nmad_bin_5': 0.03429482504725456, 'redshifts/outlier_fraction': 0.3281004726886749, 'redshifts/outlier_fraction_bin_0': 0.49956023693084717, 'redshifts/outlier_fraction_bin_1': 0.3512851893901825, 'redshifts/outlier_fraction_bin_2': 0.25070422887802124, 'redshifts/outlier_fraction_bin_3': 0.20915032923221588, 'redshifts/outlier_fraction_bin_4': 0.2222222238779068, 'redshifts/outlier_fraction_bin_5': 0.0731707289814949, 'redshifts/outlier_fraction_cata': 0.09481946378946304, 'redshifts/outlier_fraction_cata_bin_0': 0.14072120189666748, 'redshifts/outlier_fraction_cata_bin_1': 0.10036719590425491, 'redshifts/outlier_fraction_cata_bin_2': 0.0845070406794548, 'redshifts/outlier_fraction_cata_bin_3': 0.0784313753247261, 'redshifts/outlier_fraction_cata_bin_4': 0.06481481343507767, 'redshifts/outlier_fraction_cata_bin_5': 0.017886178568005562}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 13%|█▎ | 51/383 [2:25:48<14:30:37, 157.34s/it]" + " 3%|▎ | 46/1563 [04:07<2:34:40, 6.12s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([10016.])\n", - "{'redshifts/mse': 0.2763940691947937}\n" + "total num of pts: tensor([3266.])\n", + "total num of pts: tensor([1170., 837., 361., 155., 110., 633.])\n", + "{'redshifts/bias_abs': 0.07980138063430786, 'redshifts/bias_abs_bin_0': 0.15091228485107422, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.06319378316402435, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04461117461323738, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.0051039522513747215, 'redshifts/bias_bin_0': 0.0347428023815155, 'redshifts/bias_bin_1': 0.018274977803230286, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.002127408515661955, 'redshifts/mse': 0.3078196048736572, 'redshifts/mse_bin_0': 0.4514644145965576, 'redshifts/mse_bin_1': 0.33870628476142883, 'redshifts/mse_bin_2': 0.2648122310638428, 'redshifts/mse_bin_3': 0.24521224200725555, 'redshifts/mse_bin_4': 0.20241734385490417, 'redshifts/mse_bin_5': 0.059647828340530396, 'redshifts/nmad': 0.11793019622564316, 'redshifts/nmad_bin_0': 0.21890802681446075, 'redshifts/nmad_bin_1': 0.14356349408626556, 'redshifts/nmad_bin_2': 0.09296182543039322, 'redshifts/nmad_bin_3': 0.0707317516207695, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.0345534086227417, 'redshifts/outlier_fraction': 0.32976117730140686, 'redshifts/outlier_fraction_bin_0': 0.5034188032150269, 'redshifts/outlier_fraction_bin_1': 0.3524492383003235, 'redshifts/outlier_fraction_bin_2': 0.25207754969596863, 'redshifts/outlier_fraction_bin_3': 0.20645160973072052, 'redshifts/outlier_fraction_bin_4': 0.2181818187236786, 'redshifts/outlier_fraction_bin_5': 0.07266982644796371, 'redshifts/outlier_fraction_cata': 0.09583588689565659, 'redshifts/outlier_fraction_cata_bin_0': 0.1427350491285324, 'redshifts/outlier_fraction_cata_bin_1': 0.10155316442251205, 'redshifts/outlier_fraction_cata_bin_2': 0.0858725756406784, 'redshifts/outlier_fraction_cata_bin_3': 0.07741935551166534, 'redshifts/outlier_fraction_cata_bin_4': 0.06363636255264282, 'redshifts/outlier_fraction_cata_bin_5': 0.017377566546201706}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 14%|█▎ | 52/383 [2:28:23<14:24:10, 156.65s/it]" + " 3%|▎ | 47/1563 [04:13<2:34:12, 6.10s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([10224.])\n", - "{'redshifts/mse': 0.2774251401424408}\n" + "total num of pts: tensor([3327.])\n", + "total num of pts: tensor([1193., 853., 368., 159., 113., 641.])\n", + "{'redshifts/bias_abs': 0.079731285572052, 'redshifts/bias_abs_bin_0': 0.152486652135849, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.0621049664914608, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04461117461323738, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.005348697770386934, 'redshifts/bias_bin_0': 0.0347428023815155, 'redshifts/bias_bin_1': 0.019369110465049744, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.002127408515661955, 'redshifts/mse': 0.30764439702033997, 'redshifts/mse_bin_0': 0.4529893696308136, 'redshifts/mse_bin_1': 0.3380991220474243, 'redshifts/mse_bin_2': 0.26081544160842896, 'redshifts/mse_bin_3': 0.2405114769935608, 'redshifts/mse_bin_4': 0.1971609741449356, 'redshifts/mse_bin_5': 0.05962143465876579, 'redshifts/nmad': 0.11775405704975128, 'redshifts/nmad_bin_0': 0.2197740375995636, 'redshifts/nmad_bin_1': 0.141940638422966, 'redshifts/nmad_bin_2': 0.09271186590194702, 'redshifts/nmad_bin_3': 0.0707317516207695, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.0345534086227417, 'redshifts/outlier_fraction': 0.3306281864643097, 'redshifts/outlier_fraction_bin_0': 0.5062866806983948, 'redshifts/outlier_fraction_bin_1': 0.3505275547504425, 'redshifts/outlier_fraction_bin_2': 0.25271740555763245, 'redshifts/outlier_fraction_bin_3': 0.2075471729040146, 'redshifts/outlier_fraction_bin_4': 0.21238937973976135, 'redshifts/outlier_fraction_bin_5': 0.07332292944192886, 'redshifts/outlier_fraction_cata': 0.09558160603046417, 'redshifts/outlier_fraction_cata_bin_0': 0.14249789714813232, 'redshifts/outlier_fraction_cata_bin_1': 0.10199296474456787, 'redshifts/outlier_fraction_cata_bin_2': 0.08423913270235062, 'redshifts/outlier_fraction_cata_bin_3': 0.07547169923782349, 'redshifts/outlier_fraction_cata_bin_4': 0.06194690242409706, 'redshifts/outlier_fraction_cata_bin_5': 0.0171606857329607}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 14%|█▍ | 53/383 [2:30:55<14:13:38, 155.21s/it]" + " 3%|▎ | 48/1563 [04:20<2:40:32, 6.36s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([10414.])\n", - "{'redshifts/mse': 0.275399774312973}\n" + "total num of pts: tensor([3399.])\n", + "total num of pts: tensor([1225., 865., 377., 166., 114., 652.])\n", + "{'redshifts/bias_abs': 0.0791986957192421, 'redshifts/bias_abs_bin_0': 0.15091228485107422, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.043965894728899, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.005886640399694443, 'redshifts/bias_bin_0': 0.03612789884209633, 'redshifts/bias_bin_1': 0.01829410530626774, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.010383915156126022, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.002127408515661955, 'redshifts/mse': 0.3058440685272217, 'redshifts/mse_bin_0': 0.4502732753753662, 'redshifts/mse_bin_1': 0.3372161090373993, 'redshifts/mse_bin_2': 0.25741133093833923, 'redshifts/mse_bin_3': 0.2326352745294571, 'redshifts/mse_bin_4': 0.1954898238182068, 'redshifts/mse_bin_5': 0.05880383402109146, 'redshifts/nmad': 0.11778789758682251, 'redshifts/nmad_bin_0': 0.21835733950138092, 'redshifts/nmad_bin_1': 0.14172238111495972, 'redshifts/nmad_bin_2': 0.09293527156114578, 'redshifts/nmad_bin_3': 0.07088962942361832, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.0345534086227417, 'redshifts/outlier_fraction': 0.329214483499527, 'redshifts/outlier_fraction_bin_0': 0.5028571486473083, 'redshifts/outlier_fraction_bin_1': 0.3502890169620514, 'redshifts/outlier_fraction_bin_2': 0.2493368685245514, 'redshifts/outlier_fraction_bin_3': 0.20481927692890167, 'redshifts/outlier_fraction_bin_4': 0.21052631735801697, 'redshifts/outlier_fraction_bin_5': 0.07361963391304016, 'redshifts/outlier_fraction_cata': 0.0953221544623375, 'redshifts/outlier_fraction_cata_bin_0': 0.14204081892967224, 'redshifts/outlier_fraction_cata_bin_1': 0.10289017111063004, 'redshifts/outlier_fraction_cata_bin_2': 0.08222811669111252, 'redshifts/outlier_fraction_cata_bin_3': 0.07228915393352509, 'redshifts/outlier_fraction_cata_bin_4': 0.061403509229421616, 'redshifts/outlier_fraction_cata_bin_5': 0.016871165484189987}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 14%|█▍ | 54/383 [2:33:31<14:12:51, 155.54s/it]" + " 3%|▎ | 49/1563 [04:30<3:09:32, 7.51s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([10596.])\n", - "{'redshifts/mse': 0.2770192325115204}\n" + "total num of pts: tensor([3471.])\n", + "total num of pts: tensor([1248., 882., 382., 170., 116., 673.])\n", + "{'redshifts/bias_abs': 0.07873748242855072, 'redshifts/bias_abs_bin_0': 0.15002496540546417, 'redshifts/bias_abs_bin_1': 0.09204958379268646, 'redshifts/bias_abs_bin_2': 0.06154340133070946, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.043965894728899, 'redshifts/bias_abs_bin_5': 0.024218037724494934, 'redshifts/bias': 0.005886640399694443, 'redshifts/bias_bin_0': 0.03612789884209633, 'redshifts/bias_bin_1': 0.01829410530626774, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.010837200097739697, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0022090510465204716, 'redshifts/mse': 0.3037050664424896, 'redshifts/mse_bin_0': 0.446422278881073, 'redshifts/mse_bin_1': 0.33634209632873535, 'redshifts/mse_bin_2': 0.254562109708786, 'redshifts/mse_bin_3': 0.23573778569698334, 'redshifts/mse_bin_4': 0.19388717412948608, 'redshifts/mse_bin_5': 0.060271892696619034, 'redshifts/nmad': 0.11761520057916641, 'redshifts/nmad_bin_0': 0.2168544977903366, 'redshifts/nmad_bin_1': 0.14184966683387756, 'redshifts/nmad_bin_2': 0.09203851222991943, 'redshifts/nmad_bin_3': 0.07082360237836838, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.03542031720280647, 'redshifts/outlier_fraction': 0.3287236988544464, 'redshifts/outlier_fraction_bin_0': 0.5008012652397156, 'redshifts/outlier_fraction_bin_1': 0.3503401279449463, 'redshifts/outlier_fraction_bin_2': 0.24869109690189362, 'redshifts/outlier_fraction_bin_3': 0.21764706075191498, 'redshifts/outlier_fraction_bin_4': 0.21551723778247833, 'redshifts/outlier_fraction_bin_5': 0.07429420202970505, 'redshifts/outlier_fraction_cata': 0.09478536248207092, 'redshifts/outlier_fraction_cata_bin_0': 0.14022435247898102, 'redshifts/outlier_fraction_cata_bin_1': 0.1031746044754982, 'redshifts/outlier_fraction_cata_bin_2': 0.08115183562040329, 'redshifts/outlier_fraction_cata_bin_3': 0.07647059112787247, 'redshifts/outlier_fraction_cata_bin_4': 0.06034482643008232, 'redshifts/outlier_fraction_cata_bin_5': 0.017830608412623405}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 14%|█▍ | 55/383 [2:36:07<14:11:03, 155.68s/it]" + " 3%|▎ | 50/1563 [04:36<2:58:12, 7.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([10778.])\n", - "{'redshifts/mse': 0.27683141827583313}\n" + "total num of pts: tensor([3532.])\n", + "total num of pts: tensor([1270., 896., 387., 174., 116., 689.])\n", + "{'redshifts/bias_abs': 0.07855727523565292, 'redshifts/bias_abs_bin_0': 0.14788591861724854, 'redshifts/bias_abs_bin_1': 0.09204958379268646, 'redshifts/bias_abs_bin_2': 0.06183763965964317, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.043965894728899, 'redshifts/bias_abs_bin_5': 0.02455303817987442, 'redshifts/bias': 0.005940004251897335, 'redshifts/bias_bin_0': 0.03550722450017929, 'redshifts/bias_bin_1': 0.018306799232959747, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0024759110528975725, 'redshifts/mse': 0.3031034469604492, 'redshifts/mse_bin_0': 0.4422358572483063, 'redshifts/mse_bin_1': 0.3406796157360077, 'redshifts/mse_bin_2': 0.2584291994571686, 'redshifts/mse_bin_3': 0.23146335780620575, 'redshifts/mse_bin_4': 0.19388717412948608, 'redshifts/mse_bin_5': 0.05935531109571457, 'redshifts/nmad': 0.11682683229446411, 'redshifts/nmad_bin_0': 0.21723918616771698, 'redshifts/nmad_bin_1': 0.14351561665534973, 'redshifts/nmad_bin_2': 0.09229672700166702, 'redshifts/nmad_bin_3': 0.07228252291679382, 'redshifts/nmad_bin_4': 0.07196678966283798, 'redshifts/nmad_bin_5': 0.035782575607299805, 'redshifts/outlier_fraction': 0.3287089467048645, 'redshifts/outlier_fraction_bin_0': 0.4984251856803894, 'redshifts/outlier_fraction_bin_1': 0.3515625, 'redshifts/outlier_fraction_bin_2': 0.2532299757003784, 'redshifts/outlier_fraction_bin_3': 0.2183908075094223, 'redshifts/outlier_fraction_bin_4': 0.21551723778247833, 'redshifts/outlier_fraction_bin_5': 0.07547169923782349, 'redshifts/outlier_fraction_cata': 0.09456398338079453, 'redshifts/outlier_fraction_cata_bin_0': 0.13937008380889893, 'redshifts/outlier_fraction_cata_bin_1': 0.1037946417927742, 'redshifts/outlier_fraction_cata_bin_2': 0.08268734067678452, 'redshifts/outlier_fraction_cata_bin_3': 0.07471264153718948, 'redshifts/outlier_fraction_cata_bin_4': 0.06034482643008232, 'redshifts/outlier_fraction_cata_bin_5': 0.017416546121239662}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 15%|█▍ | 56/383 [2:38:47<14:14:57, 156.87s/it]" + " 3%|▎ | 51/1563 [04:42<2:45:29, 6.57s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([10975.])\n", - "{'redshifts/mse': 0.27752697467803955}\n" + "total num of pts: tensor([3609.])\n", + "total num of pts: tensor([1293., 918., 394., 176., 122., 706.])\n", + "{'redshifts/bias_abs': 0.07789525389671326, 'redshifts/bias_abs_bin_0': 0.14788591861724854, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.06154340133070946, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.043965894728899, 'redshifts/bias_abs_bin_5': 0.024678170680999756, 'redshifts/bias': 0.005940004251897335, 'redshifts/bias_bin_0': 0.03550722450017929, 'redshifts/bias_bin_1': 0.019369110465049744, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.002539128065109253, 'redshifts/mse': 0.30002501606941223, 'redshifts/mse_bin_0': 0.43938779830932617, 'redshifts/mse_bin_1': 0.3371182680130005, 'redshifts/mse_bin_2': 0.25682684779167175, 'redshifts/mse_bin_3': 0.22885359823703766, 'redshifts/mse_bin_4': 0.1859080195426941, 'redshifts/mse_bin_5': 0.05812903121113777, 'redshifts/nmad': 0.11569936573505402, 'redshifts/nmad_bin_0': 0.21574100852012634, 'redshifts/nmad_bin_1': 0.1406928151845932, 'redshifts/nmad_bin_2': 0.09185067564249039, 'redshifts/nmad_bin_3': 0.0707317516207695, 'redshifts/nmad_bin_4': 0.07162448763847351, 'redshifts/nmad_bin_5': 0.03635910898447037, 'redshifts/outlier_fraction': 0.32779163122177124, 'redshifts/outlier_fraction_bin_0': 0.4980665147304535, 'redshifts/outlier_fraction_bin_1': 0.34967321157455444, 'redshifts/outlier_fraction_bin_2': 0.2563451826572418, 'redshifts/outlier_fraction_bin_3': 0.21590909361839294, 'redshifts/outlier_fraction_bin_4': 0.21311475336551666, 'redshifts/outlier_fraction_bin_5': 0.075070820748806, 'redshifts/outlier_fraction_cata': 0.09365475177764893, 'redshifts/outlier_fraction_cata_bin_0': 0.13843774795532227, 'redshifts/outlier_fraction_cata_bin_1': 0.1034858375787735, 'redshifts/outlier_fraction_cata_bin_2': 0.08121827244758606, 'redshifts/outlier_fraction_cata_bin_3': 0.07386363297700882, 'redshifts/outlier_fraction_cata_bin_4': 0.05737704783678055, 'redshifts/outlier_fraction_cata_bin_5': 0.016997167840600014}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 15%|█▍ | 57/383 [2:41:28<14:20:17, 158.34s/it]" + " 3%|▎ | 52/1563 [04:48<2:41:38, 6.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([11158.])\n", - "{'redshifts/mse': 0.27785077691078186}\n" + "total num of pts: tensor([3682.])\n", + "total num of pts: tensor([1316., 934., 406., 180., 126., 720.])\n", + "{'redshifts/bias_abs': 0.07770714163780212, 'redshifts/bias_abs_bin_0': 0.1492539793252945, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02455303817987442, 'redshifts/bias': 0.0061744200065732, 'redshifts/bias_bin_0': 0.03641805052757263, 'redshifts/bias_bin_1': 0.019369110465049744, 'redshifts/bias_bin_2': 0.002728644758462906, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0025685131549835205, 'redshifts/mse': 0.2983851730823517, 'redshifts/mse_bin_0': 0.4386539161205292, 'redshifts/mse_bin_1': 0.333710253238678, 'redshifts/mse_bin_2': 0.2576546370983124, 'redshifts/mse_bin_3': 0.2240956425666809, 'redshifts/mse_bin_4': 0.18685902655124664, 'redshifts/mse_bin_5': 0.0572383776307106, 'redshifts/nmad': 0.11535181850194931, 'redshifts/nmad_bin_0': 0.2159292846918106, 'redshifts/nmad_bin_1': 0.13990002870559692, 'redshifts/nmad_bin_2': 0.09468962252140045, 'redshifts/nmad_bin_3': 0.06928408890962601, 'redshifts/nmad_bin_4': 0.06680021435022354, 'redshifts/nmad_bin_5': 0.03591986745595932, 'redshifts/outlier_fraction': 0.3275393843650818, 'redshifts/outlier_fraction_bin_0': 0.49924013018608093, 'redshifts/outlier_fraction_bin_1': 0.3479657471179962, 'redshifts/outlier_fraction_bin_2': 0.2586206793785095, 'redshifts/outlier_fraction_bin_3': 0.21111111342906952, 'redshifts/outlier_fraction_bin_4': 0.2142857164144516, 'redshifts/outlier_fraction_bin_5': 0.07500000298023224, 'redshifts/outlier_fraction_cata': 0.09288430213928223, 'redshifts/outlier_fraction_cata_bin_0': 0.13829787075519562, 'redshifts/outlier_fraction_cata_bin_1': 0.10171306133270264, 'redshifts/outlier_fraction_cata_bin_2': 0.08128079026937485, 'redshifts/outlier_fraction_cata_bin_3': 0.07222222536802292, 'redshifts/outlier_fraction_cata_bin_4': 0.0555555559694767, 'redshifts/outlier_fraction_cata_bin_5': 0.01666666753590107}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 15%|█▌ | 58/383 [2:44:05<14:14:34, 157.77s/it]" + " 3%|▎ | 53/1563 [04:54<2:39:18, 6.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([11338.])\n", - "{'redshifts/mse': 0.27709847688674927}\n" + "total num of pts: tensor([3750.])\n", + "total num of pts: tensor([1336., 946., 409., 183., 130., 746.])\n", + "{'redshifts/bias_abs': 0.07764375954866409, 'redshifts/bias_abs_bin_0': 0.1492539793252945, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.06319378316402435, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02455303817987442, 'redshifts/bias': 0.006144429557025433, 'redshifts/bias_bin_0': 0.03622821345925331, 'redshifts/bias_bin_1': 0.019810620695352554, 'redshifts/bias_bin_2': 0.002728644758462906, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0024938976857811213, 'redshifts/mse': 0.2986602187156677, 'redshifts/mse_bin_0': 0.4395182728767395, 'redshifts/mse_bin_1': 0.3319394588470459, 'redshifts/mse_bin_2': 0.2656122148036957, 'redshifts/mse_bin_3': 0.22096587717533112, 'redshifts/mse_bin_4': 0.18149612843990326, 'redshifts/mse_bin_5': 0.06179467961192131, 'redshifts/nmad': 0.11497320979833603, 'redshifts/nmad_bin_0': 0.21621309220790863, 'redshifts/nmad_bin_1': 0.14128606021404266, 'redshifts/nmad_bin_2': 0.09572596848011017, 'redshifts/nmad_bin_3': 0.0707317516207695, 'redshifts/nmad_bin_4': 0.06680021435022354, 'redshifts/nmad_bin_5': 0.03633857145905495, 'redshifts/outlier_fraction': 0.3271999955177307, 'redshifts/outlier_fraction_bin_0': 0.49925148487091064, 'redshifts/outlier_fraction_bin_1': 0.34989428520202637, 'redshifts/outlier_fraction_bin_2': 0.2616136968135834, 'redshifts/outlier_fraction_bin_3': 0.21311475336551666, 'redshifts/outlier_fraction_bin_4': 0.20769231021404266, 'redshifts/outlier_fraction_bin_5': 0.07506702095270157, 'redshifts/outlier_fraction_cata': 0.09253333508968353, 'redshifts/outlier_fraction_cata_bin_0': 0.1384730488061905, 'redshifts/outlier_fraction_cata_bin_1': 0.10042282938957214, 'redshifts/outlier_fraction_cata_bin_2': 0.08312958478927612, 'redshifts/outlier_fraction_cata_bin_3': 0.07103825360536575, 'redshifts/outlier_fraction_cata_bin_4': 0.05384615436196327, 'redshifts/outlier_fraction_cata_bin_5': 0.017426272854208946}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 15%|█▌ | 59/383 [2:46:42<14:10:27, 157.49s/it]" + " 3%|▎ | 54/1563 [04:59<2:26:19, 5.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([11543.])\n", - "{'redshifts/mse': 0.27692925930023193}\n" + "total num of pts: tensor([3828.])\n", + "total num of pts: tensor([1361., 962., 417., 189., 132., 767.])\n", + "{'redshifts/bias_abs': 0.07737306505441666, 'redshifts/bias_abs_bin_0': 0.14788591861724854, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.043965894728899, 'redshifts/bias_abs_bin_5': 0.0244783665984869, 'redshifts/bias': 0.00605008564889431, 'redshifts/bias_bin_0': 0.0369919091463089, 'redshifts/bias_bin_1': 0.019369110465049744, 'redshifts/bias_bin_2': 0.002728644758462906, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0022090510465204716, 'redshifts/mse': 0.297762930393219, 'redshifts/mse_bin_0': 0.4404550790786743, 'redshifts/mse_bin_1': 0.32752883434295654, 'redshifts/mse_bin_2': 0.2636550962924957, 'redshifts/mse_bin_3': 0.21447114646434784, 'redshifts/mse_bin_4': 0.21328961849212646, 'redshifts/mse_bin_5': 0.06083688512444496, 'redshifts/nmad': 0.1144370511174202, 'redshifts/nmad_bin_0': 0.2161470502614975, 'redshifts/nmad_bin_1': 0.13990002870559692, 'redshifts/nmad_bin_2': 0.09601756930351257, 'redshifts/nmad_bin_3': 0.0682610273361206, 'redshifts/nmad_bin_4': 0.07235054671764374, 'redshifts/nmad_bin_5': 0.035976801067590714, 'redshifts/outlier_fraction': 0.3260188102722168, 'redshifts/outlier_fraction_bin_0': 0.498163104057312, 'redshifts/outlier_fraction_bin_1': 0.3461538553237915, 'redshifts/outlier_fraction_bin_2': 0.26618704199790955, 'redshifts/outlier_fraction_bin_3': 0.2063492089509964, 'redshifts/outlier_fraction_bin_4': 0.21212121844291687, 'redshifts/outlier_fraction_bin_5': 0.07692307978868484, 'redshifts/outlier_fraction_cata': 0.09221525490283966, 'redshifts/outlier_fraction_cata_bin_0': 0.13886848092079163, 'redshifts/outlier_fraction_cata_bin_1': 0.09875259548425674, 'redshifts/outlier_fraction_cata_bin_2': 0.08393285423517227, 'redshifts/outlier_fraction_cata_bin_3': 0.06878306716680527, 'redshifts/outlier_fraction_cata_bin_4': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_5': 0.016949152573943138}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 16%|█▌ | 60/383 [2:49:21<14:10:40, 158.02s/it]" + " 4%|▎ | 55/1563 [05:05<2:27:36, 5.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([11734.])\n", - "{'redshifts/mse': 0.27648234367370605}\n" + "total num of pts: tensor([3894.])\n", + "total num of pts: tensor([1386., 979., 423., 195., 134., 777.])\n", + "{'redshifts/bias_abs': 0.07714800536632538, 'redshifts/bias_abs_bin_0': 0.14675739407539368, 'redshifts/bias_abs_bin_1': 0.08957736194133759, 'redshifts/bias_abs_bin_2': 0.06319378316402435, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04461117461323738, 'redshifts/bias_abs_bin_5': 0.024347379803657532, 'redshifts/bias': 0.005609569139778614, 'redshifts/bias_bin_0': 0.0347428023815155, 'redshifts/bias_bin_1': 0.018274977803230286, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.009223381988704205, 'redshifts/bias_bin_5': -0.002127408515661955, 'redshifts/mse': 0.2960313558578491, 'redshifts/mse_bin_0': 0.4378249943256378, 'redshifts/mse_bin_1': 0.32471904158592224, 'redshifts/mse_bin_2': 0.2601877748966217, 'redshifts/mse_bin_3': 0.20849138498306274, 'redshifts/mse_bin_4': 0.2275802195072174, 'redshifts/mse_bin_5': 0.06024555861949921, 'redshifts/nmad': 0.11372137814760208, 'redshifts/nmad_bin_0': 0.21463298797607422, 'redshifts/nmad_bin_1': 0.13884367048740387, 'redshifts/nmad_bin_2': 0.09496453404426575, 'redshifts/nmad_bin_3': 0.06848996132612228, 'redshifts/nmad_bin_4': 0.07278440147638321, 'redshifts/nmad_bin_5': 0.035901013761758804, 'redshifts/outlier_fraction': 0.3238315284252167, 'redshifts/outlier_fraction_bin_0': 0.4942280054092407, 'redshifts/outlier_fraction_bin_1': 0.34320735931396484, 'redshifts/outlier_fraction_bin_2': 0.26241135597229004, 'redshifts/outlier_fraction_bin_3': 0.20512820780277252, 'redshifts/outlier_fraction_bin_4': 0.21641790866851807, 'redshifts/outlier_fraction_bin_5': 0.07722007483243942, 'redshifts/outlier_fraction_cata': 0.0921931192278862, 'redshifts/outlier_fraction_cata_bin_0': 0.13924963772296906, 'redshifts/outlier_fraction_cata_bin_1': 0.09805924445390701, 'redshifts/outlier_fraction_cata_bin_2': 0.08274231851100922, 'redshifts/outlier_fraction_cata_bin_3': 0.06666667014360428, 'redshifts/outlier_fraction_cata_bin_4': 0.06716418266296387, 'redshifts/outlier_fraction_cata_bin_5': 0.01673101633787155}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 16%|█▌ | 61/383 [2:52:03<14:14:31, 159.23s/it]" + " 4%|▎ | 56/1563 [05:09<2:19:16, 5.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([11916.])\n", - "{'redshifts/mse': 0.2762136459350586}\n" + "total num of pts: tensor([3961.])\n", + "total num of pts: tensor([1409., 996., 428., 200., 137., 791.])\n", + "{'redshifts/bias_abs': 0.07706210017204285, 'redshifts/bias_abs_bin_0': 0.1470949500799179, 'redshifts/bias_abs_bin_1': 0.08924205601215363, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.04226633533835411, 'redshifts/bias_abs_bin_4': 0.0449172742664814, 'redshifts/bias_abs_bin_5': 0.024218037724494934, 'redshifts/bias': 0.0057051097974181175, 'redshifts/bias_bin_0': 0.03550722450017929, 'redshifts/bias_bin_1': 0.01886516809463501, 'redshifts/bias_bin_2': 0.002728644758462906, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.002127408515661955, 'redshifts/mse': 0.2953563928604126, 'redshifts/mse_bin_0': 0.4386173486709595, 'redshifts/mse_bin_1': 0.32449331879615784, 'redshifts/mse_bin_2': 0.258506178855896, 'redshifts/mse_bin_3': 0.2033383995294571, 'redshifts/mse_bin_4': 0.2230362594127655, 'redshifts/mse_bin_5': 0.05921162664890289, 'redshifts/nmad': 0.11356990039348602, 'redshifts/nmad_bin_0': 0.21723918616771698, 'redshifts/nmad_bin_1': 0.1391528844833374, 'redshifts/nmad_bin_2': 0.09601756930351257, 'redshifts/nmad_bin_3': 0.06728683412075043, 'redshifts/nmad_bin_4': 0.07295278459787369, 'redshifts/nmad_bin_5': 0.035795215517282486, 'redshifts/outlier_fraction': 0.3236556351184845, 'redshifts/outlier_fraction_bin_0': 0.4953868091106415, 'redshifts/outlier_fraction_bin_1': 0.34337350726127625, 'redshifts/outlier_fraction_bin_2': 0.2640186846256256, 'redshifts/outlier_fraction_bin_3': 0.20000000298023224, 'redshifts/outlier_fraction_bin_4': 0.21167883276939392, 'redshifts/outlier_fraction_bin_5': 0.07585334777832031, 'redshifts/outlier_fraction_cata': 0.09189598262310028, 'redshifts/outlier_fraction_cata_bin_0': 0.13981546461582184, 'redshifts/outlier_fraction_cata_bin_1': 0.09738955646753311, 'redshifts/outlier_fraction_cata_bin_2': 0.08177570253610611, 'redshifts/outlier_fraction_cata_bin_3': 0.06499999761581421, 'redshifts/outlier_fraction_cata_bin_4': 0.0656934306025505, 'redshifts/outlier_fraction_cata_bin_5': 0.016434893012046814}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 16%|█▌ | 62/383 [2:54:42<14:11:00, 159.07s/it]" + " 4%|▎ | 57/1563 [05:18<2:43:02, 6.50s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([12103.])\n", - "{'redshifts/mse': 0.2754592001438141}\n" + "total num of pts: tensor([4024.])\n", + "total num of pts: tensor([1433., 1015., 432., 204., 139., 801.])\n", + "{'redshifts/bias_abs': 0.07699018716812134, 'redshifts/bias_abs_bin_0': 0.14675739407539368, 'redshifts/bias_abs_bin_1': 0.08954451233148575, 'redshifts/bias_abs_bin_2': 0.06392533332109451, 'redshifts/bias_abs_bin_3': 0.042750801891088486, 'redshifts/bias_abs_bin_4': 0.04532322287559509, 'redshifts/bias_abs_bin_5': 0.024065982550382614, 'redshifts/bias': 0.005602510645985603, 'redshifts/bias_bin_0': 0.03473338857293129, 'redshifts/bias_bin_1': 0.019484950229525566, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0022090510465204716, 'redshifts/mse': 0.29690808057785034, 'redshifts/mse_bin_0': 0.435586541891098, 'redshifts/mse_bin_1': 0.3328675329685211, 'redshifts/mse_bin_2': 0.26508450508117676, 'redshifts/mse_bin_3': 0.19974519312381744, 'redshifts/mse_bin_4': 0.2199612855911255, 'redshifts/mse_bin_5': 0.05850707367062569, 'redshifts/nmad': 0.11349540948867798, 'redshifts/nmad_bin_0': 0.2161640226840973, 'redshifts/nmad_bin_1': 0.1394336074590683, 'redshifts/nmad_bin_2': 0.09745293110609055, 'redshifts/nmad_bin_3': 0.06728683412075043, 'redshifts/nmad_bin_4': 0.07269706577062607, 'redshifts/nmad_bin_5': 0.03559987619519234, 'redshifts/outlier_fraction': 0.32355865836143494, 'redshifts/outlier_fraction_bin_0': 0.4940683841705322, 'redshifts/outlier_fraction_bin_1': 0.3448275923728943, 'redshifts/outlier_fraction_bin_2': 0.26620370149612427, 'redshifts/outlier_fraction_bin_3': 0.19607843458652496, 'redshifts/outlier_fraction_bin_4': 0.20863309502601624, 'redshifts/outlier_fraction_bin_5': 0.0749063640832901, 'redshifts/outlier_fraction_cata': 0.09169980138540268, 'redshifts/outlier_fraction_cata_bin_0': 0.13817167282104492, 'redshifts/outlier_fraction_cata_bin_1': 0.09852216392755508, 'redshifts/outlier_fraction_cata_bin_2': 0.0833333358168602, 'redshifts/outlier_fraction_cata_bin_3': 0.06372549384832382, 'redshifts/outlier_fraction_cata_bin_4': 0.06474819779396057, 'redshifts/outlier_fraction_cata_bin_5': 0.016229713335633278}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 16%|█▋ | 63/383 [2:57:18<14:04:34, 158.36s/it]" + " 4%|▎ | 58/1563 [05:23<2:26:34, 5.84s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([12287.])\n", - "{'redshifts/mse': 0.27367785573005676}\n" + "total num of pts: tensor([4093.])\n", + "total num of pts: tensor([1458., 1029., 436., 210., 142., 818.])\n", + "{'redshifts/bias_abs': 0.07681381702423096, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.08954451233148575, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04532322287559509, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.005529866088181734, 'redshifts/bias_bin_0': 0.0347428023815155, 'redshifts/bias_bin_1': 0.019484950229525566, 'redshifts/bias_bin_2': 0.002728644758462906, 'redshifts/bias_bin_3': -0.010383915156126022, 'redshifts/bias_bin_4': -0.009223381988704205, 'redshifts/bias_bin_5': -0.0023698240984231234, 'redshifts/mse': 0.2950168251991272, 'redshifts/mse_bin_0': 0.4323730170726776, 'redshifts/mse_bin_1': 0.33282792568206787, 'redshifts/mse_bin_2': 0.26358863711357117, 'redshifts/mse_bin_3': 0.20065507292747498, 'redshifts/mse_bin_4': 0.21597827970981598, 'redshifts/mse_bin_5': 0.05732811987400055, 'redshifts/nmad': 0.11329805105924606, 'redshifts/nmad_bin_0': 0.21460767090320587, 'redshifts/nmad_bin_1': 0.1393408626317978, 'redshifts/nmad_bin_2': 0.09698528796434402, 'redshifts/nmad_bin_3': 0.06946420669555664, 'redshifts/nmad_bin_4': 0.07358145713806152, 'redshifts/nmad_bin_5': 0.035283323377370834, 'redshifts/outlier_fraction': 0.32225751876831055, 'redshifts/outlier_fraction_bin_0': 0.4924554228782654, 'redshifts/outlier_fraction_bin_1': 0.3449951410293579, 'redshifts/outlier_fraction_bin_2': 0.26605504751205444, 'redshifts/outlier_fraction_bin_3': 0.19523809850215912, 'redshifts/outlier_fraction_bin_4': 0.2042253464460373, 'redshifts/outlier_fraction_bin_5': 0.07334963232278824, 'redshifts/outlier_fraction_cata': 0.09088688343763351, 'redshifts/outlier_fraction_cata_bin_0': 0.13648833334445953, 'redshifts/outlier_fraction_cata_bin_1': 0.09815354645252228, 'redshifts/outlier_fraction_cata_bin_2': 0.08256880939006805, 'redshifts/outlier_fraction_cata_bin_3': 0.06666667014360428, 'redshifts/outlier_fraction_cata_bin_4': 0.06338027864694595, 'redshifts/outlier_fraction_cata_bin_5': 0.01589241996407509}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 17%|█▋ | 64/383 [2:59:53<13:55:53, 157.22s/it]" + " 4%|▍ | 59/1563 [05:28<2:25:19, 5.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([12486.])\n", - "{'redshifts/mse': 0.27682745456695557}\n" + "total num of pts: tensor([4151.])\n", + "total num of pts: tensor([1477., 1042., 445., 213., 145., 829.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.1465388834476471, 'redshifts/bias_abs_bin_1': 0.08954451233148575, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04532322287559509, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.005693050101399422, 'redshifts/bias_bin_0': 0.0347428023815155, 'redshifts/bias_bin_1': 0.019484950229525566, 'redshifts/bias_bin_2': 0.002728644758462906, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0023698240984231234, 'redshifts/mse': 0.2984160780906677, 'redshifts/mse_bin_0': 0.43980279564857483, 'redshifts/mse_bin_1': 0.33571457862854004, 'redshifts/mse_bin_2': 0.25864535570144653, 'redshifts/mse_bin_3': 0.19799816608428955, 'redshifts/mse_bin_4': 0.2414577603340149, 'redshifts/mse_bin_5': 0.056744109839200974, 'redshifts/nmad': 0.11293302476406097, 'redshifts/nmad_bin_0': 0.21590611338615417, 'redshifts/nmad_bin_1': 0.1394336074590683, 'redshifts/nmad_bin_2': 0.09698528796434402, 'redshifts/nmad_bin_3': 0.06848996132612228, 'redshifts/nmad_bin_4': 0.07269706577062607, 'redshifts/nmad_bin_5': 0.035283323377370834, 'redshifts/outlier_fraction': 0.322331964969635, 'redshifts/outlier_fraction_bin_0': 0.4935680329799652, 'redshifts/outlier_fraction_bin_1': 0.3464491367340088, 'redshifts/outlier_fraction_bin_2': 0.2606741487979889, 'redshifts/outlier_fraction_bin_3': 0.19248826801776886, 'redshifts/outlier_fraction_bin_4': 0.2068965584039688, 'redshifts/outlier_fraction_bin_5': 0.07358262687921524, 'redshifts/outlier_fraction_cata': 0.09154420346021652, 'redshifts/outlier_fraction_cata_bin_0': 0.1374407559633255, 'redshifts/outlier_fraction_cata_bin_1': 0.09980805963277817, 'redshifts/outlier_fraction_cata_bin_2': 0.08089887350797653, 'redshifts/outlier_fraction_cata_bin_3': 0.06572769582271576, 'redshifts/outlier_fraction_cata_bin_4': 0.06896551698446274, 'redshifts/outlier_fraction_cata_bin_5': 0.015681544318795204}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 17%|█▋ | 65/383 [3:02:28<13:50:29, 156.70s/it]" + " 4%|▍ | 60/1563 [05:34<2:24:12, 5.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([12653.])\n", - "{'redshifts/mse': 0.2767159938812256}\n" + "total num of pts: tensor([4218.])\n", + "total num of pts: tensor([1503., 1057., 451., 215., 150., 842.])\n", + "{'redshifts/bias_abs': 0.07594108581542969, 'redshifts/bias_abs_bin_0': 0.14307178556919098, 'redshifts/bias_abs_bin_1': 0.08954451233148575, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.046038635075092316, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.005336731672286987, 'redshifts/bias_bin_0': 0.03362585976719856, 'redshifts/bias_bin_1': 0.019369110465049744, 'redshifts/bias_bin_2': 0.002728644758462906, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.008930751122534275, 'redshifts/bias_bin_5': -0.0024759110528975725, 'redshifts/mse': 0.2972075641155243, 'redshifts/mse_bin_0': 0.4354395568370819, 'redshifts/mse_bin_1': 0.338548868894577, 'redshifts/mse_bin_2': 0.25607073307037354, 'redshifts/mse_bin_3': 0.1963052749633789, 'redshifts/mse_bin_4': 0.23549827933311462, 'redshifts/mse_bin_5': 0.057354994118213654, 'redshifts/nmad': 0.11243359744548798, 'redshifts/nmad_bin_0': 0.2132754921913147, 'redshifts/nmad_bin_1': 0.1396053582429886, 'redshifts/nmad_bin_2': 0.09601756930351257, 'redshifts/nmad_bin_3': 0.06928408890962601, 'redshifts/nmad_bin_4': 0.0734231248497963, 'redshifts/nmad_bin_5': 0.035356342792510986, 'redshifts/outlier_fraction': 0.3207681477069855, 'redshifts/outlier_fraction_bin_0': 0.4883566200733185, 'redshifts/outlier_fraction_bin_1': 0.34531694650650024, 'redshifts/outlier_fraction_bin_2': 0.25942349433898926, 'redshifts/outlier_fraction_bin_3': 0.19069766998291016, 'redshifts/outlier_fraction_bin_4': 0.20666666328907013, 'redshifts/outlier_fraction_bin_5': 0.07719714939594269, 'redshifts/outlier_fraction_cata': 0.09080132842063904, 'redshifts/outlier_fraction_cata_bin_0': 0.13572853803634644, 'redshifts/outlier_fraction_cata_bin_1': 0.10028382390737534, 'redshifts/outlier_fraction_cata_bin_2': 0.0798226147890091, 'redshifts/outlier_fraction_cata_bin_3': 0.0651162788271904, 'redshifts/outlier_fraction_cata_bin_4': 0.06666667014360428, 'redshifts/outlier_fraction_cata_bin_5': 0.015439430251717567}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 17%|█▋ | 66/383 [3:05:06<13:49:09, 156.94s/it]" + " 4%|▍ | 61/1563 [05:38<2:11:17, 5.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([12844.])\n", - "{'redshifts/mse': 0.27705514430999756}\n" + "total num of pts: tensor([4293.])\n", + "total num of pts: tensor([1531., 1077., 460., 224., 153., 848.])\n", + "{'redshifts/bias_abs': 0.07670407742261887, 'redshifts/bias_abs_bin_0': 0.14179366827011108, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.04703443497419357, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.005609569139778614, 'redshifts/bias_bin_0': 0.03383445367217064, 'redshifts/bias_bin_1': 0.019993888214230537, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': -0.010837200097739697, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0024759110528975725, 'redshifts/mse': 0.2992652952671051, 'redshifts/mse_bin_0': 0.4338545799255371, 'redshifts/mse_bin_1': 0.3399253189563751, 'redshifts/mse_bin_2': 0.25676241517066956, 'redshifts/mse_bin_3': 0.22191321849822998, 'redshifts/mse_bin_4': 0.2425282597541809, 'redshifts/mse_bin_5': 0.058361440896987915, 'redshifts/nmad': 0.11305678635835648, 'redshifts/nmad_bin_0': 0.2129662185907364, 'redshifts/nmad_bin_1': 0.14101435244083405, 'redshifts/nmad_bin_2': 0.09726497530937195, 'redshifts/nmad_bin_3': 0.07082360237836838, 'redshifts/nmad_bin_4': 0.07383957505226135, 'redshifts/nmad_bin_5': 0.035384323447942734, 'redshifts/outlier_fraction': 0.32215234637260437, 'redshifts/outlier_fraction_bin_0': 0.4859568774700165, 'redshifts/outlier_fraction_bin_1': 0.3472609221935272, 'redshifts/outlier_fraction_bin_2': 0.260869562625885, 'redshifts/outlier_fraction_bin_3': 0.2008928507566452, 'redshifts/outlier_fraction_bin_4': 0.21568627655506134, 'redshifts/outlier_fraction_bin_5': 0.07900943607091904, 'redshifts/outlier_fraction_cata': 0.09154437482357025, 'redshifts/outlier_fraction_cata_bin_0': 0.13455258309841156, 'redshifts/outlier_fraction_cata_bin_1': 0.10120705515146255, 'redshifts/outlier_fraction_cata_bin_2': 0.08043478429317474, 'redshifts/outlier_fraction_cata_bin_3': 0.0714285746216774, 'redshifts/outlier_fraction_cata_bin_4': 0.07189542800188065, 'redshifts/outlier_fraction_cata_bin_5': 0.016509434208273888}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 17%|█▋ | 67/383 [3:07:45<13:49:48, 157.56s/it]" + " 4%|▍ | 62/1563 [05:41<1:58:38, 4.74s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([13028.])\n", - "{'redshifts/mse': 0.2759016454219818}\n" + "total num of pts: tensor([4359.])\n", + "total num of pts: tensor([1552., 1099., 470., 224., 153., 861.])\n", + "{'redshifts/bias_abs': 0.07681381702423096, 'redshifts/bias_abs_bin_0': 0.14233054220676422, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.06392533332109451, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.04703443497419357, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.005348697770386934, 'redshifts/bias_bin_0': 0.03362585976719856, 'redshifts/bias_bin_1': 0.01829410530626774, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': -0.010837200097739697, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.0022090510465204716, 'redshifts/mse': 0.2997983694076538, 'redshifts/mse_bin_0': 0.43628060817718506, 'redshifts/mse_bin_1': 0.3369866609573364, 'redshifts/mse_bin_2': 0.2617035508155823, 'redshifts/mse_bin_3': 0.22191321849822998, 'redshifts/mse_bin_4': 0.2425282597541809, 'redshifts/mse_bin_5': 0.05754993483424187, 'redshifts/nmad': 0.1130414828658104, 'redshifts/nmad_bin_0': 0.2132754921913147, 'redshifts/nmad_bin_1': 0.14013993740081787, 'redshifts/nmad_bin_2': 0.09745293110609055, 'redshifts/nmad_bin_3': 0.07082360237836838, 'redshifts/nmad_bin_4': 0.07383957505226135, 'redshifts/nmad_bin_5': 0.03559987619519234, 'redshifts/outlier_fraction': 0.323239266872406, 'redshifts/outlier_fraction_bin_0': 0.48775774240493774, 'redshifts/outlier_fraction_bin_1': 0.3494085669517517, 'redshifts/outlier_fraction_bin_2': 0.26170212030410767, 'redshifts/outlier_fraction_bin_3': 0.2008928507566452, 'redshifts/outlier_fraction_bin_4': 0.21568627655506134, 'redshifts/outlier_fraction_bin_5': 0.07781649380922318, 'redshifts/outlier_fraction_cata': 0.0917641669511795, 'redshifts/outlier_fraction_cata_bin_0': 0.13530927896499634, 'redshifts/outlier_fraction_cata_bin_1': 0.10009099543094635, 'redshifts/outlier_fraction_cata_bin_2': 0.08297872543334961, 'redshifts/outlier_fraction_cata_bin_3': 0.0714285746216774, 'redshifts/outlier_fraction_cata_bin_4': 0.07189542800188065, 'redshifts/outlier_fraction_cata_bin_5': 0.016260161995887756}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 18%|█▊ | 68/383 [3:10:21<13:45:05, 157.16s/it]" + " 4%|▍ | 63/1563 [05:45<1:51:39, 4.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([13214.])\n", - "{'redshifts/mse': 0.2755977213382721}\n" + "total num of pts: tensor([4438.])\n", + "total num of pts: tensor([1582., 1122., 474., 227., 157., 876.])\n", + "{'redshifts/bias_abs': 0.07681381702423096, 'redshifts/bias_abs_bin_0': 0.14233054220676422, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.06392533332109451, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04703443497419357, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.00543611915782094, 'redshifts/bias_bin_0': 0.032566480338573456, 'redshifts/bias_bin_1': 0.017789335921406746, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': -0.010837200097739697, 'redshifts/bias_bin_4': -0.008257362060248852, 'redshifts/bias_bin_5': -0.0020442595705389977, 'redshifts/mse': 0.30142974853515625, 'redshifts/mse_bin_0': 0.4348757863044739, 'redshifts/mse_bin_1': 0.34395238757133484, 'redshifts/mse_bin_2': 0.26010337471961975, 'redshifts/mse_bin_3': 0.22027172148227692, 'redshifts/mse_bin_4': 0.23676557838916779, 'redshifts/mse_bin_5': 0.06095414608716965, 'redshifts/nmad': 0.11324872821569443, 'redshifts/nmad_bin_0': 0.21295134723186493, 'redshifts/nmad_bin_1': 0.14115433394908905, 'redshifts/nmad_bin_2': 0.09745293110609055, 'redshifts/nmad_bin_3': 0.07224539667367935, 'redshifts/nmad_bin_4': 0.07395114749670029, 'redshifts/nmad_bin_5': 0.03480064123868942, 'redshifts/outlier_fraction': 0.3242451548576355, 'redshifts/outlier_fraction_bin_0': 0.4873577654361725, 'redshifts/outlier_fraction_bin_1': 0.35204991698265076, 'redshifts/outlier_fraction_bin_2': 0.26160338521003723, 'redshifts/outlier_fraction_bin_3': 0.20264317095279694, 'redshifts/outlier_fraction_bin_4': 0.21019108593463898, 'redshifts/outlier_fraction_bin_5': 0.07990867644548416, 'redshifts/outlier_fraction_cata': 0.09193330258131027, 'redshifts/outlier_fraction_cata_bin_0': 0.1352718025445938, 'redshifts/outlier_fraction_cata_bin_1': 0.10071301460266113, 'redshifts/outlier_fraction_cata_bin_2': 0.08227848261594772, 'redshifts/outlier_fraction_cata_bin_3': 0.07048457860946655, 'redshifts/outlier_fraction_cata_bin_4': 0.07006369531154633, 'redshifts/outlier_fraction_cata_bin_5': 0.017123287543654442}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 18%|█▊ | 69/383 [3:13:01<13:47:03, 158.04s/it]" + " 4%|▍ | 64/1563 [05:50<1:53:20, 4.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([13402.])\n", - "{'redshifts/mse': 0.274779736995697}\n" + "total num of pts: tensor([4497.])\n", + "total num of pts: tensor([1602., 1138., 479., 230., 158., 890.])\n", + "{'redshifts/bias_abs': 0.0769524946808815, 'redshifts/bias_abs_bin_0': 0.14307178556919098, 'redshifts/bias_abs_bin_1': 0.09204958379268646, 'redshifts/bias_abs_bin_2': 0.06392533332109451, 'redshifts/bias_abs_bin_3': 0.04821769520640373, 'redshifts/bias_abs_bin_4': 0.04633340239524841, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.005336731672286987, 'redshifts/bias_bin_0': 0.03362585976719856, 'redshifts/bias_bin_1': 0.01566154696047306, 'redshifts/bias_bin_2': 0.0023390210699290037, 'redshifts/bias_bin_3': -0.01121229026466608, 'redshifts/bias_bin_4': -0.008441029116511345, 'redshifts/bias_bin_5': -0.001985788345336914, 'redshifts/mse': 0.2989813983440399, 'redshifts/mse_bin_0': 0.4324144124984741, 'redshifts/mse_bin_1': 0.3403601348400116, 'redshifts/mse_bin_2': 0.2583862543106079, 'redshifts/mse_bin_3': 0.21760261058807373, 'redshifts/mse_bin_4': 0.23528212308883667, 'redshifts/mse_bin_5': 0.06008153408765793, 'redshifts/nmad': 0.11337942630052567, 'redshifts/nmad_bin_0': 0.2132754921913147, 'redshifts/nmad_bin_1': 0.14120808243751526, 'redshifts/nmad_bin_2': 0.09756294637918472, 'redshifts/nmad_bin_3': 0.07207644730806351, 'redshifts/nmad_bin_4': 0.07367884367704391, 'redshifts/nmad_bin_5': 0.034713950008153915, 'redshifts/outlier_fraction': 0.32466089725494385, 'redshifts/outlier_fraction_bin_0': 0.48876404762268066, 'redshifts/outlier_fraction_bin_1': 0.35149383544921875, 'redshifts/outlier_fraction_bin_2': 0.2630480229854584, 'redshifts/outlier_fraction_bin_3': 0.20434781908988953, 'redshifts/outlier_fraction_bin_4': 0.20886075496673584, 'redshifts/outlier_fraction_bin_5': 0.07977528125047684, 'redshifts/outlier_fraction_cata': 0.09094952046871185, 'redshifts/outlier_fraction_cata_bin_0': 0.13420723378658295, 'redshifts/outlier_fraction_cata_bin_1': 0.09929700940847397, 'redshifts/outlier_fraction_cata_bin_2': 0.08141962438821793, 'redshifts/outlier_fraction_cata_bin_3': 0.06956521421670914, 'redshifts/outlier_fraction_cata_bin_4': 0.06962025165557861, 'redshifts/outlier_fraction_cata_bin_5': 0.016853932291269302}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 18%|█▊ | 70/383 [3:15:38<13:42:31, 157.67s/it]" + " 4%|▍ | 65/1563 [05:55<1:55:20, 4.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([13593.])\n", - "{'redshifts/mse': 0.27404719591140747}\n" + "total num of pts: tensor([4560.])\n", + "total num of pts: tensor([1620., 1159., 483., 236., 160., 902.])\n", + "{'redshifts/bias_abs': 0.0769524946808815, 'redshifts/bias_abs_bin_0': 0.14233054220676422, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.051819972693920135, 'redshifts/bias_abs_bin_4': 0.04633340239524841, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.0051039522513747215, 'redshifts/bias_bin_0': 0.032387785613536835, 'redshifts/bias_bin_1': 0.014982364140450954, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': -0.011602580547332764, 'redshifts/bias_bin_4': -0.008257362060248852, 'redshifts/bias_bin_5': -0.0016716058598831296, 'redshifts/mse': 0.2976357042789459, 'redshifts/mse_bin_0': 0.4299544095993042, 'redshifts/mse_bin_1': 0.33803215622901917, 'redshifts/mse_bin_2': 0.25641611218452454, 'redshifts/mse_bin_3': 0.21336524188518524, 'redshifts/mse_bin_4': 0.23258228600025177, 'redshifts/mse_bin_5': 0.06374525278806686, 'redshifts/nmad': 0.11318843811750412, 'redshifts/nmad_bin_0': 0.21299752593040466, 'redshifts/nmad_bin_1': 0.13941048085689545, 'redshifts/nmad_bin_2': 0.09726497530937195, 'redshifts/nmad_bin_3': 0.07198558747768402, 'redshifts/nmad_bin_4': 0.07356727868318558, 'redshifts/nmad_bin_5': 0.035220712423324585, 'redshifts/outlier_fraction': 0.32390350103378296, 'redshifts/outlier_fraction_bin_0': 0.48765432834625244, 'redshifts/outlier_fraction_bin_1': 0.34943917393684387, 'redshifts/outlier_fraction_bin_2': 0.260869562625885, 'redshifts/outlier_fraction_bin_3': 0.20762711763381958, 'redshifts/outlier_fraction_bin_4': 0.20624999701976776, 'redshifts/outlier_fraction_bin_5': 0.08203991502523422, 'redshifts/outlier_fraction_cata': 0.09078947454690933, 'redshifts/outlier_fraction_cata_bin_0': 0.13333334028720856, 'redshifts/outlier_fraction_cata_bin_1': 0.09922347217798233, 'redshifts/outlier_fraction_cata_bin_2': 0.08074533939361572, 'redshifts/outlier_fraction_cata_bin_3': 0.06779661029577255, 'redshifts/outlier_fraction_cata_bin_4': 0.06875000149011612, 'redshifts/outlier_fraction_cata_bin_5': 0.018847007304430008}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 19%|█▊ | 71/383 [3:18:16<13:39:48, 157.66s/it]" + " 4%|▍ | 66/1563 [06:02<2:16:00, 5.45s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([13774.])\n", - "{'redshifts/mse': 0.2744234502315521}\n" + "total num of pts: tensor([4622.])\n", + "total num of pts: tensor([1639., 1181., 488., 237., 161., 916.])\n", + "{'redshifts/bias_abs': 0.07679463177919388, 'redshifts/bias_abs_bin_0': 0.14116284251213074, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.05203434079885483, 'redshifts/bias_abs_bin_4': 0.04633340239524841, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.005044400691986084, 'redshifts/bias_bin_0': 0.032387785613536835, 'redshifts/bias_bin_1': 0.01552602183073759, 'redshifts/bias_bin_2': 0.0018601736519485712, 'redshifts/bias_bin_3': -0.011363470926880836, 'redshifts/bias_bin_4': -0.008257362060248852, 'redshifts/bias_bin_5': -0.0016716058598831296, 'redshifts/mse': 0.2988223135471344, 'redshifts/mse_bin_0': 0.43188661336898804, 'redshifts/mse_bin_1': 0.3363923728466034, 'redshifts/mse_bin_2': 0.26358193159103394, 'redshifts/mse_bin_3': 0.21252751350402832, 'redshifts/mse_bin_4': 0.23116010427474976, 'redshifts/mse_bin_5': 0.06528683751821518, 'redshifts/nmad': 0.11302971839904785, 'redshifts/nmad_bin_0': 0.2111414223909378, 'redshifts/nmad_bin_1': 0.14036014676094055, 'redshifts/nmad_bin_2': 0.09472997486591339, 'redshifts/nmad_bin_3': 0.07234009355306625, 'redshifts/nmad_bin_4': 0.07356727868318558, 'redshifts/nmad_bin_5': 0.03512253239750862, 'redshifts/outlier_fraction': 0.323020339012146, 'redshifts/outlier_fraction_bin_0': 0.48505187034606934, 'redshifts/outlier_fraction_bin_1': 0.3505503833293915, 'redshifts/outlier_fraction_bin_2': 0.2602458894252777, 'redshifts/outlier_fraction_bin_3': 0.2067510485649109, 'redshifts/outlier_fraction_bin_4': 0.20496894419193268, 'redshifts/outlier_fraction_bin_5': 0.08187773078680038, 'redshifts/outlier_fraction_cata': 0.09065339714288712, 'redshifts/outlier_fraction_cata_bin_0': 0.1330079287290573, 'redshifts/outlier_fraction_cata_bin_1': 0.09822184592485428, 'redshifts/outlier_fraction_cata_bin_2': 0.08196721225976944, 'redshifts/outlier_fraction_cata_bin_3': 0.06751054525375366, 'redshifts/outlier_fraction_cata_bin_4': 0.06832297891378403, 'redshifts/outlier_fraction_cata_bin_5': 0.01965065486729145}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 19%|█▉ | 72/383 [3:20:54<13:38:15, 157.86s/it]" + " 4%|▍ | 67/1563 [06:09<2:25:29, 5.84s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([13961.])\n", - "{'redshifts/mse': 0.27402982115745544}\n" + "total num of pts: tensor([4687.])\n", + "total num of pts: tensor([1670., 1194., 491., 240., 164., 928.])\n", + "{'redshifts/bias_abs': 0.07699018716812134, 'redshifts/bias_abs_bin_0': 0.1411517709493637, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04532322287559509, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.0053367335349321365, 'redshifts/bias_bin_0': 0.032387785613536835, 'redshifts/bias_bin_1': 0.01605827547609806, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': -0.011363470926880836, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0016208098968490958, 'redshifts/mse': 0.3017832338809967, 'redshifts/mse_bin_0': 0.43286144733428955, 'redshifts/mse_bin_1': 0.34659290313720703, 'redshifts/mse_bin_2': 0.26522713899612427, 'redshifts/mse_bin_3': 0.20992538332939148, 'redshifts/mse_bin_4': 0.22696226835250854, 'redshifts/mse_bin_5': 0.06456732004880905, 'redshifts/nmad': 0.11337942630052567, 'redshifts/nmad_bin_0': 0.21111613512039185, 'redshifts/nmad_bin_1': 0.14179627597332, 'redshifts/nmad_bin_2': 0.09525614231824875, 'redshifts/nmad_bin_3': 0.07230058312416077, 'redshifts/nmad_bin_4': 0.07135787606239319, 'redshifts/nmad_bin_5': 0.03506665676832199, 'redshifts/outlier_fraction': 0.3234478235244751, 'redshifts/outlier_fraction_bin_0': 0.485029935836792, 'redshifts/outlier_fraction_bin_1': 0.35259631276130676, 'redshifts/outlier_fraction_bin_2': 0.2606924772262573, 'redshifts/outlier_fraction_bin_3': 0.20416666567325592, 'redshifts/outlier_fraction_bin_4': 0.20121951401233673, 'redshifts/outlier_fraction_bin_5': 0.08081896603107452, 'redshifts/outlier_fraction_cata': 0.09131640940904617, 'redshifts/outlier_fraction_cata_bin_0': 0.1323353350162506, 'redshifts/outlier_fraction_cata_bin_1': 0.10134003311395645, 'redshifts/outlier_fraction_cata_bin_2': 0.08350305259227753, 'redshifts/outlier_fraction_cata_bin_3': 0.06666667014360428, 'redshifts/outlier_fraction_cata_bin_4': 0.06707317382097244, 'redshifts/outlier_fraction_cata_bin_5': 0.019396550953388214}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 19%|█▉ | 73/383 [3:23:32<13:36:29, 158.03s/it]" + " 4%|▍ | 68/1563 [06:18<2:49:16, 6.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([14155.])\n", - "{'redshifts/mse': 0.27483895421028137}\n" + "total num of pts: tensor([4738.])\n", + "total num of pts: tensor([1688., 1209., 496., 243., 168., 934.])\n", + "{'redshifts/bias_abs': 0.07688840478658676, 'redshifts/bias_abs_bin_0': 0.14114497601985931, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.0449172742664814, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.005529866088181734, 'redshifts/bias_bin_0': 0.03180370852351189, 'redshifts/bias_bin_1': 0.017500000074505806, 'redshifts/bias_bin_2': 0.0023390210699290037, 'redshifts/bias_bin_3': -0.01121229026466608, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0017008185386657715, 'redshifts/mse': 0.3017493486404419, 'redshifts/mse_bin_0': 0.433662086725235, 'redshifts/mse_bin_1': 0.34471073746681213, 'redshifts/mse_bin_2': 0.2675381004810333, 'redshifts/mse_bin_3': 0.2075372040271759, 'redshifts/mse_bin_4': 0.22341537475585938, 'redshifts/mse_bin_5': 0.06450627744197845, 'redshifts/nmad': 0.11332549154758453, 'redshifts/nmad_bin_0': 0.21026118099689484, 'redshifts/nmad_bin_1': 0.14241451025009155, 'redshifts/nmad_bin_2': 0.09744875133037567, 'redshifts/nmad_bin_3': 0.07280150055885315, 'redshifts/nmad_bin_4': 0.06883206218481064, 'redshifts/nmad_bin_5': 0.03512003272771835, 'redshifts/outlier_fraction': 0.3239763677120209, 'redshifts/outlier_fraction_bin_0': 0.4840047359466553, 'redshifts/outlier_fraction_bin_1': 0.35153019428253174, 'redshifts/outlier_fraction_bin_2': 0.2661290466785431, 'redshifts/outlier_fraction_bin_3': 0.201646089553833, 'redshifts/outlier_fraction_bin_4': 0.2023809552192688, 'redshifts/outlier_fraction_bin_5': 0.08351177722215652, 'redshifts/outlier_fraction_cata': 0.09075559675693512, 'redshifts/outlier_fraction_cata_bin_0': 0.13151659071445465, 'redshifts/outlier_fraction_cata_bin_1': 0.10090984404087067, 'redshifts/outlier_fraction_cata_bin_2': 0.08266129344701767, 'redshifts/outlier_fraction_cata_bin_3': 0.0658436194062233, 'redshifts/outlier_fraction_cata_bin_4': 0.065476194024086, 'redshifts/outlier_fraction_cata_bin_5': 0.01927194930613041}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 19%|█▉ | 74/383 [3:26:05<13:25:51, 156.48s/it]" + " 4%|▍ | 69/1563 [06:24<2:44:11, 6.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([14352.])\n", - "{'redshifts/mse': 0.27365055680274963}\n" + "total num of pts: tensor([4786.])\n", + "total num of pts: tensor([1704., 1223., 499., 244., 171., 945.])\n", + "{'redshifts/bias_abs': 0.07688840478658676, 'redshifts/bias_abs_bin_0': 0.14116284251213074, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.06498867273330688, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04461117461323738, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.005529866088181734, 'redshifts/bias_bin_0': 0.03170373663306236, 'redshifts/bias_bin_1': 0.018274977803230286, 'redshifts/bias_bin_2': 0.002728644758462906, 'redshifts/bias_bin_3': -0.011363470926880836, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.0017560801934450865, 'redshifts/mse': 0.3023647367954254, 'redshifts/mse_bin_0': 0.4347679316997528, 'redshifts/mse_bin_1': 0.3463190495967865, 'redshifts/mse_bin_2': 0.26740336418151855, 'redshifts/mse_bin_3': 0.2070212960243225, 'redshifts/mse_bin_4': 0.21953138709068298, 'redshifts/mse_bin_5': 0.06480302661657333, 'redshifts/nmad': 0.11338771134614944, 'redshifts/nmad_bin_0': 0.21040940284729004, 'redshifts/nmad_bin_1': 0.14187434315681458, 'redshifts/nmad_bin_2': 0.09728311747312546, 'redshifts/nmad_bin_3': 0.073025643825531, 'redshifts/nmad_bin_4': 0.06805969774723053, 'redshifts/nmad_bin_5': 0.03524468466639519, 'redshifts/outlier_fraction': 0.32427915930747986, 'redshifts/outlier_fraction_bin_0': 0.48532864451408386, 'redshifts/outlier_fraction_bin_1': 0.3507767915725708, 'redshifts/outlier_fraction_bin_2': 0.26853707432746887, 'redshifts/outlier_fraction_bin_3': 0.20081967115402222, 'redshifts/outlier_fraction_bin_4': 0.19883041083812714, 'redshifts/outlier_fraction_bin_5': 0.08359788358211517, 'redshifts/outlier_fraction_cata': 0.09089009463787079, 'redshifts/outlier_fraction_cata_bin_0': 0.13204225897789001, 'redshifts/outlier_fraction_cata_bin_1': 0.10139002650976181, 'redshifts/outlier_fraction_cata_bin_2': 0.08216433227062225, 'redshifts/outlier_fraction_cata_bin_3': 0.06557376682758331, 'redshifts/outlier_fraction_cata_bin_4': 0.06432748585939407, 'redshifts/outlier_fraction_cata_bin_5': 0.01904761977493763}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 20%|█▉ | 75/383 [3:28:42<13:23:05, 156.45s/it]" + " 4%|▍ | 70/1563 [06:30<2:41:17, 6.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([14562.])\n", - "{'redshifts/mse': 0.27314701676368713}\n" + "total num of pts: tensor([4852.])\n", + "total num of pts: tensor([1729., 1242., 505., 245., 174., 957.])\n", + "{'redshifts/bias_abs': 0.07688840478658676, 'redshifts/bias_abs_bin_0': 0.14116284251213074, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.06392533332109451, 'redshifts/bias_abs_bin_3': 0.051819972693920135, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.0053303055465221405, 'redshifts/bias_bin_0': 0.03164943307638168, 'redshifts/bias_bin_1': 0.0160725899040699, 'redshifts/bias_bin_2': 0.002917314413934946, 'redshifts/bias_bin_3': -0.011363470926880836, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0017008185386657715, 'redshifts/mse': 0.3009888827800751, 'redshifts/mse_bin_0': 0.4342033565044403, 'redshifts/mse_bin_1': 0.34314683079719543, 'redshifts/mse_bin_2': 0.26442837715148926, 'redshifts/mse_bin_3': 0.20655570924282074, 'redshifts/mse_bin_4': 0.21577052772045135, 'redshifts/mse_bin_5': 0.06456311792135239, 'redshifts/nmad': 0.11352403461933136, 'redshifts/nmad_bin_0': 0.2104898989200592, 'redshifts/nmad_bin_1': 0.14181749522686005, 'redshifts/nmad_bin_2': 0.09670557081699371, 'redshifts/nmad_bin_3': 0.07397621124982834, 'redshifts/nmad_bin_4': 0.06892750412225723, 'redshifts/nmad_bin_5': 0.03518587350845337, 'redshifts/outlier_fraction': 0.32481449842453003, 'redshifts/outlier_fraction_bin_0': 0.4852515757083893, 'redshifts/outlier_fraction_bin_1': 0.3526569902896881, 'redshifts/outlier_fraction_bin_2': 0.2653465270996094, 'redshifts/outlier_fraction_bin_3': 0.20408163964748383, 'redshifts/outlier_fraction_bin_4': 0.19540229439735413, 'redshifts/outlier_fraction_bin_5': 0.08463949710130692, 'redshifts/outlier_fraction_cata': 0.09027205407619476, 'redshifts/outlier_fraction_cata_bin_0': 0.1318681389093399, 'redshifts/outlier_fraction_cata_bin_1': 0.0998389720916748, 'redshifts/outlier_fraction_cata_bin_2': 0.08118811994791031, 'redshifts/outlier_fraction_cata_bin_3': 0.06530611962080002, 'redshifts/outlier_fraction_cata_bin_4': 0.06321839243173599, 'redshifts/outlier_fraction_cata_bin_5': 0.018808776512742043}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 20%|█▉ | 76/383 [3:31:19<13:21:41, 156.68s/it]" + " 5%|▍ | 71/1563 [06:36<2:32:16, 6.12s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([14772.])\n", - "{'redshifts/mse': 0.27415546774864197}\n" + "total num of pts: tensor([4908.])\n", + "total num of pts: tensor([1757., 1253., 511., 248., 174., 965.])\n", + "{'redshifts/bias_abs': 0.07688840478658676, 'redshifts/bias_abs_bin_0': 0.14233054220676422, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.005336731672286987, 'redshifts/bias_bin_0': 0.03125825896859169, 'redshifts/bias_bin_1': 0.01605827547609806, 'redshifts/bias_bin_2': 0.002728644758462906, 'redshifts/bias_bin_3': -0.01228130143135786, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0016208098968490958, 'redshifts/mse': 0.301196426153183, 'redshifts/mse_bin_0': 0.4366568922996521, 'redshifts/mse_bin_1': 0.3406273424625397, 'redshifts/mse_bin_2': 0.26231691241264343, 'redshifts/mse_bin_3': 0.20445580780506134, 'redshifts/mse_bin_4': 0.21577052772045135, 'redshifts/mse_bin_5': 0.06421563774347305, 'redshifts/nmad': 0.11353355646133423, 'redshifts/nmad_bin_0': 0.21267718076705933, 'redshifts/nmad_bin_1': 0.14114926755428314, 'redshifts/nmad_bin_2': 0.09601756930351257, 'redshifts/nmad_bin_3': 0.07366136461496353, 'redshifts/nmad_bin_4': 0.06892750412225723, 'redshifts/nmad_bin_5': 0.035307422280311584, 'redshifts/outlier_fraction': 0.32579460740089417, 'redshifts/outlier_fraction_bin_0': 0.4877632260322571, 'redshifts/outlier_fraction_bin_1': 0.35115721821784973, 'redshifts/outlier_fraction_bin_2': 0.26418787240982056, 'redshifts/outlier_fraction_bin_3': 0.20564515888690948, 'redshifts/outlier_fraction_bin_4': 0.19540229439735413, 'redshifts/outlier_fraction_bin_5': 0.08497409522533417, 'redshifts/outlier_fraction_cata': 0.09005705267190933, 'redshifts/outlier_fraction_cata_bin_0': 0.13204325735569, 'redshifts/outlier_fraction_cata_bin_1': 0.09896249324083328, 'redshifts/outlier_fraction_cata_bin_2': 0.0802348330616951, 'redshifts/outlier_fraction_cata_bin_3': 0.06451612710952759, 'redshifts/outlier_fraction_cata_bin_4': 0.06321839243173599, 'redshifts/outlier_fraction_cata_bin_5': 0.01865284889936447}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 20%|██ | 77/383 [3:33:52<13:14:18, 155.75s/it]" + " 5%|▍ | 72/1563 [06:43<2:39:15, 6.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([14960.])\n", - "{'redshifts/mse': 0.2733745574951172}\n" + "total num of pts: tensor([4981.])\n", + "total num of pts: tensor([1786., 1271., 516., 252., 176., 980.])\n", + "{'redshifts/bias_abs': 0.07734352350234985, 'redshifts/bias_abs_bin_0': 0.1431611329317093, 'redshifts/bias_abs_bin_1': 0.09352179616689682, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.005348697770386934, 'redshifts/bias_bin_0': 0.03229905664920807, 'redshifts/bias_bin_1': 0.01552602183073759, 'redshifts/bias_bin_2': 0.0023390210699290037, 'redshifts/bias_bin_3': -0.012579048052430153, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0015917412238195539, 'redshifts/mse': 0.3010396659374237, 'redshifts/mse_bin_0': 0.4380316436290741, 'redshifts/mse_bin_1': 0.339099645614624, 'redshifts/mse_bin_2': 0.2619803249835968, 'redshifts/mse_bin_3': 0.20165568590164185, 'redshifts/mse_bin_4': 0.21361564099788666, 'redshifts/mse_bin_5': 0.06384088844060898, 'redshifts/nmad': 0.1140497475862503, 'redshifts/nmad_bin_0': 0.21524260938167572, 'redshifts/nmad_bin_1': 0.14355440437793732, 'redshifts/nmad_bin_2': 0.09514831751585007, 'redshifts/nmad_bin_3': 0.07370205223560333, 'redshifts/nmad_bin_4': 0.06892750412225723, 'redshifts/nmad_bin_5': 0.035281747579574585, 'redshifts/outlier_fraction': 0.3266412317752838, 'redshifts/outlier_fraction_bin_0': 0.48992159962654114, 'redshifts/outlier_fraction_bin_1': 0.3516915738582611, 'redshifts/outlier_fraction_bin_2': 0.26356589794158936, 'redshifts/outlier_fraction_bin_3': 0.2063492089509964, 'redshifts/outlier_fraction_bin_4': 0.1931818127632141, 'redshifts/outlier_fraction_bin_5': 0.08469387888908386, 'redshifts/outlier_fraction_cata': 0.08974101394414902, 'redshifts/outlier_fraction_cata_bin_0': 0.13213886320590973, 'redshifts/outlier_fraction_cata_bin_1': 0.09756097197532654, 'redshifts/outlier_fraction_cata_bin_2': 0.08139535039663315, 'redshifts/outlier_fraction_cata_bin_3': 0.0634920671582222, 'redshifts/outlier_fraction_cata_bin_4': 0.0625, 'redshifts/outlier_fraction_cata_bin_5': 0.01836734637618065}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 20%|██ | 78/383 [3:36:25<13:07:00, 154.82s/it]" + " 5%|▍ | 73/1563 [06:47<2:24:52, 5.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([15164.])\n", - "{'redshifts/mse': 0.27255457639694214}\n" + "total num of pts: tensor([5049.])\n", + "total num of pts: tensor([1819., 1286., 520., 252., 179., 993.])\n", + "{'redshifts/bias_abs': 0.07729598134756088, 'redshifts/bias_abs_bin_0': 0.14307178556919098, 'redshifts/bias_abs_bin_1': 0.09352179616689682, 'redshifts/bias_abs_bin_2': 0.0621049664914608, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.005602510645985603, 'redshifts/bias_bin_0': 0.032387785613536835, 'redshifts/bias_bin_1': 0.01566154696047306, 'redshifts/bias_bin_2': 0.0023390210699290037, 'redshifts/bias_bin_3': -0.012579048052430153, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0015323403058573604, 'redshifts/mse': 0.3008062541484833, 'redshifts/mse_bin_0': 0.43715348839759827, 'redshifts/mse_bin_1': 0.3381885886192322, 'redshifts/mse_bin_2': 0.2600272595882416, 'redshifts/mse_bin_3': 0.20165568590164185, 'redshifts/mse_bin_4': 0.22381851077079773, 'redshifts/mse_bin_5': 0.06302554905414581, 'redshifts/nmad': 0.11377346515655518, 'redshifts/nmad_bin_0': 0.2150591015815735, 'redshifts/nmad_bin_1': 0.14375533163547516, 'redshifts/nmad_bin_2': 0.09471207857131958, 'redshifts/nmad_bin_3': 0.07370205223560333, 'redshifts/nmad_bin_4': 0.0694723054766655, 'redshifts/nmad_bin_5': 0.035200197249650955, 'redshifts/outlier_fraction': 0.32620319724082947, 'redshifts/outlier_fraction_bin_0': 0.4892798364162445, 'redshifts/outlier_fraction_bin_1': 0.35069984197616577, 'redshifts/outlier_fraction_bin_2': 0.26153847575187683, 'redshifts/outlier_fraction_bin_3': 0.2063492089509964, 'redshifts/outlier_fraction_bin_4': 0.1955307275056839, 'redshifts/outlier_fraction_bin_5': 0.08358509838581085, 'redshifts/outlier_fraction_cata': 0.08972073346376419, 'redshifts/outlier_fraction_cata_bin_0': 0.13194063305854797, 'redshifts/outlier_fraction_cata_bin_1': 0.09720062464475632, 'redshifts/outlier_fraction_cata_bin_2': 0.08076923340559006, 'redshifts/outlier_fraction_cata_bin_3': 0.0634920671582222, 'redshifts/outlier_fraction_cata_bin_4': 0.0670391097664833, 'redshifts/outlier_fraction_cata_bin_5': 0.01812688820064068}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 21%|██ | 79/383 [3:38:57<13:00:25, 154.03s/it]" + " 5%|▍ | 74/1563 [06:52<2:17:48, 5.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([15368.])\n", - "{'redshifts/mse': 0.2720263600349426}\n" + "total num of pts: tensor([5118.])\n", + "total num of pts: tensor([1840., 1300., 532., 259., 182., 1005.])\n", + "{'redshifts/bias_abs': 0.07688840478658676, 'redshifts/bias_abs_bin_0': 0.1421603560447693, 'redshifts/bias_abs_bin_1': 0.09436318278312683, 'redshifts/bias_abs_bin_2': 0.0621049664914608, 'redshifts/bias_abs_bin_3': 0.04921090230345726, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.005561011843383312, 'redshifts/bias_bin_0': 0.032387785613536835, 'redshifts/bias_bin_1': 0.01605827547609806, 'redshifts/bias_bin_2': 0.0018601736519485712, 'redshifts/bias_bin_3': -0.011602580547332764, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0015247464179992676, 'redshifts/mse': 0.30087876319885254, 'redshifts/mse_bin_0': 0.43479952216148376, 'redshifts/mse_bin_1': 0.3414797782897949, 'redshifts/mse_bin_2': 0.2675326466560364, 'redshifts/mse_bin_3': 0.19655242562294006, 'redshifts/mse_bin_4': 0.22013260424137115, 'redshifts/mse_bin_5': 0.062333814799785614, 'redshifts/nmad': 0.11335625499486923, 'redshifts/nmad_bin_0': 0.21281224489212036, 'redshifts/nmad_bin_1': 0.1443435251712799, 'redshifts/nmad_bin_2': 0.0940021425485611, 'redshifts/nmad_bin_3': 0.072655089199543, 'redshifts/nmad_bin_4': 0.06464767456054688, 'redshifts/nmad_bin_5': 0.03520908206701279, 'redshifts/outlier_fraction': 0.32610395550727844, 'redshifts/outlier_fraction_bin_0': 0.48804348707199097, 'redshifts/outlier_fraction_bin_1': 0.35384616255760193, 'redshifts/outlier_fraction_bin_2': 0.2631579041481018, 'redshifts/outlier_fraction_bin_3': 0.2046332061290741, 'redshifts/outlier_fraction_bin_4': 0.19230769574642181, 'redshifts/outlier_fraction_bin_5': 0.08258706331253052, 'redshifts/outlier_fraction_cata': 0.08968347311019897, 'redshifts/outlier_fraction_cata_bin_0': 0.13097825646400452, 'redshifts/outlier_fraction_cata_bin_1': 0.09846153855323792, 'redshifts/outlier_fraction_cata_bin_2': 0.0827067643404007, 'redshifts/outlier_fraction_cata_bin_3': 0.0617760606110096, 'redshifts/outlier_fraction_cata_bin_4': 0.06593406945466995, 'redshifts/outlier_fraction_cata_bin_5': 0.017910446971654892}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 21%|██ | 80/383 [3:41:30<12:56:23, 153.74s/it]" + " 5%|▍ | 75/1563 [06:58<2:22:51, 5.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([15543.])\n", - "{'redshifts/mse': 0.2728593051433563}\n" + "total num of pts: tensor([5186.])\n", + "total num of pts: tensor([1868., 1316., 534., 261., 183., 1024.])\n", + "{'redshifts/bias_abs': 0.07699018716812134, 'redshifts/bias_abs_bin_0': 0.14347749948501587, 'redshifts/bias_abs_bin_1': 0.09435077011585236, 'redshifts/bias_abs_bin_2': 0.06319378316402435, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.024065982550382614, 'redshifts/bias': 0.005602510645985603, 'redshifts/bias_bin_0': 0.03289644792675972, 'redshifts/bias_bin_1': 0.01566154696047306, 'redshifts/bias_bin_2': 0.0017497100634500384, 'redshifts/bias_bin_3': -0.011602580547332764, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0015917412238195539, 'redshifts/mse': 0.3021721839904785, 'redshifts/mse_bin_0': 0.4379074275493622, 'redshifts/mse_bin_1': 0.3402497172355652, 'redshifts/mse_bin_2': 0.2667413055896759, 'redshifts/mse_bin_3': 0.20249904692173004, 'redshifts/mse_bin_4': 0.21898819506168365, 'redshifts/mse_bin_5': 0.06437459588050842, 'redshifts/nmad': 0.11367344856262207, 'redshifts/nmad_bin_0': 0.21383321285247803, 'redshifts/nmad_bin_1': 0.143821120262146, 'redshifts/nmad_bin_2': 0.0942746102809906, 'redshifts/nmad_bin_3': 0.07338014990091324, 'redshifts/nmad_bin_4': 0.06718172878026962, 'redshifts/nmad_bin_5': 0.0353475883603096, 'redshifts/outlier_fraction': 0.32761281728744507, 'redshifts/outlier_fraction_bin_0': 0.49089935421943665, 'redshifts/outlier_fraction_bin_1': 0.35410335659980774, 'redshifts/outlier_fraction_bin_2': 0.26217228174209595, 'redshifts/outlier_fraction_bin_3': 0.2107279747724533, 'redshifts/outlier_fraction_bin_4': 0.1912568360567093, 'redshifts/outlier_fraction_bin_5': 0.083984375, 'redshifts/outlier_fraction_cata': 0.09005013853311539, 'redshifts/outlier_fraction_cata_bin_0': 0.13169164955615997, 'redshifts/outlier_fraction_cata_bin_1': 0.09802431613206863, 'redshifts/outlier_fraction_cata_bin_2': 0.08239700645208359, 'redshifts/outlier_fraction_cata_bin_3': 0.06513410061597824, 'redshifts/outlier_fraction_cata_bin_4': 0.06557376682758331, 'redshifts/outlier_fraction_cata_bin_5': 0.0185546875}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 21%|██ | 81/383 [3:44:05<12:54:56, 153.96s/it]" + " 5%|▍ | 76/1563 [07:03<2:15:43, 5.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([15740.])\n", - "{'redshifts/mse': 0.2717433571815491}\n" + "total num of pts: tensor([5248.])\n", + "total num of pts: tensor([1894., 1332., 539., 263., 184., 1036.])\n", + "{'redshifts/bias_abs': 0.07681381702423096, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09379900246858597, 'redshifts/bias_abs_bin_2': 0.06319378316402435, 'redshifts/bias_abs_bin_3': 0.051819972693920135, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.024065982550382614, 'redshifts/bias': 0.00564735708758235, 'redshifts/bias_bin_0': 0.03364068642258644, 'redshifts/bias_bin_1': 0.0160725899040699, 'redshifts/bias_bin_2': 0.0017497100634500384, 'redshifts/bias_bin_3': -0.011363470926880836, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.001635187421925366, 'redshifts/mse': 0.3027055859565735, 'redshifts/mse_bin_0': 0.4408339560031891, 'redshifts/mse_bin_1': 0.33923545479774475, 'redshifts/mse_bin_2': 0.26465973258018494, 'redshifts/mse_bin_3': 0.2015862762928009, 'redshifts/mse_bin_4': 0.2177983820438385, 'redshifts/mse_bin_5': 0.063759945333004, 'redshifts/nmad': 0.11335461586713791, 'redshifts/nmad_bin_0': 0.21320156753063202, 'redshifts/nmad_bin_1': 0.14335966110229492, 'redshifts/nmad_bin_2': 0.0942746102809906, 'redshifts/nmad_bin_3': 0.07397621124982834, 'redshifts/nmad_bin_4': 0.06321074068546295, 'redshifts/nmad_bin_5': 0.0353526808321476, 'redshifts/outlier_fraction': 0.3275533616542816, 'redshifts/outlier_fraction_bin_0': 0.49102428555488586, 'redshifts/outlier_fraction_bin_1': 0.3543543517589569, 'redshifts/outlier_fraction_bin_2': 0.25974026322364807, 'redshifts/outlier_fraction_bin_3': 0.21292775869369507, 'redshifts/outlier_fraction_bin_4': 0.19021739065647125, 'redshifts/outlier_fraction_bin_5': 0.08301158249378204, 'redshifts/outlier_fraction_cata': 0.08993902802467346, 'redshifts/outlier_fraction_cata_bin_0': 0.1319957822561264, 'redshifts/outlier_fraction_cata_bin_1': 0.09759759902954102, 'redshifts/outlier_fraction_cata_bin_2': 0.08163265138864517, 'redshifts/outlier_fraction_cata_bin_3': 0.06463878601789474, 'redshifts/outlier_fraction_cata_bin_4': 0.06521739065647125, 'redshifts/outlier_fraction_cata_bin_5': 0.018339768052101135}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 21%|██▏ | 82/383 [3:46:38<12:50:56, 153.68s/it]" + " 5%|▍ | 77/1563 [07:07<2:05:45, 5.08s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([15940.])\n", - "{'redshifts/mse': 0.27268296480178833}\n" + "total num of pts: tensor([5317.])\n", + "total num of pts: tensor([1925., 1340., 548., 271., 185., 1048.])\n", + "{'redshifts/bias_abs': 0.07688840478658676, 'redshifts/bias_abs_bin_0': 0.14633145928382874, 'redshifts/bias_abs_bin_1': 0.09318409860134125, 'redshifts/bias_abs_bin_2': 0.06319378316402435, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.024218037724494934, 'redshifts/bias': 0.005609569139778614, 'redshifts/bias_bin_0': 0.03383445367217064, 'redshifts/bias_bin_1': 0.01566154696047306, 'redshifts/bias_bin_2': 0.0014048165176063776, 'redshifts/bias_bin_3': -0.011363470926880836, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0015917412238195539, 'redshifts/mse': 0.30184170603752136, 'redshifts/mse_bin_0': 0.43849554657936096, 'redshifts/mse_bin_1': 0.33818307518959045, 'redshifts/mse_bin_2': 0.2693992853164673, 'redshifts/mse_bin_3': 0.1970956027507782, 'redshifts/mse_bin_4': 0.21715262532234192, 'redshifts/mse_bin_5': 0.0633656308054924, 'redshifts/nmad': 0.11341622471809387, 'redshifts/nmad_bin_0': 0.2132609635591507, 'redshifts/nmad_bin_1': 0.14254528284072876, 'redshifts/nmad_bin_2': 0.09376326948404312, 'redshifts/nmad_bin_3': 0.073025643825531, 'redshifts/nmad_bin_4': 0.06718172878026962, 'redshifts/nmad_bin_5': 0.03551990166306496, 'redshifts/outlier_fraction': 0.3285687565803528, 'redshifts/outlier_fraction_bin_0': 0.4924675226211548, 'redshifts/outlier_fraction_bin_1': 0.35373133420944214, 'redshifts/outlier_fraction_bin_2': 0.26094889640808105, 'redshifts/outlier_fraction_bin_3': 0.21402214467525482, 'redshifts/outlier_fraction_bin_4': 0.18918919563293457, 'redshifts/outlier_fraction_bin_5': 0.08492366224527359, 'redshifts/outlier_fraction_cata': 0.08952416479587555, 'redshifts/outlier_fraction_cata_bin_0': 0.13090908527374268, 'redshifts/outlier_fraction_cata_bin_1': 0.09776119142770767, 'redshifts/outlier_fraction_cata_bin_2': 0.08211679011583328, 'redshifts/outlier_fraction_cata_bin_3': 0.06273062527179718, 'redshifts/outlier_fraction_cata_bin_4': 0.0648648664355278, 'redshifts/outlier_fraction_cata_bin_5': 0.018129771575331688}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 22%|██▏ | 83/383 [3:49:08<12:42:38, 152.53s/it]" + " 5%|▍ | 78/1563 [07:13<2:07:07, 5.14s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([16154.])\n", - "{'redshifts/mse': 0.2724474370479584}\n" + "total num of pts: tensor([5377.])\n", + "total num of pts: tensor([1949., 1357., 551., 274., 186., 1060.])\n", + "{'redshifts/bias_abs': 0.07711009681224823, 'redshifts/bias_abs_bin_0': 0.14590410888195038, 'redshifts/bias_abs_bin_1': 0.09435077011585236, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.024347379803657532, 'redshifts/bias': 0.005693050101399422, 'redshifts/bias_bin_0': 0.0347428023815155, 'redshifts/bias_bin_1': 0.01605827547609806, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.01228130143135786, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.001545548439025879, 'redshifts/mse': 0.30303955078125, 'redshifts/mse_bin_0': 0.4384431838989258, 'redshifts/mse_bin_1': 0.34264177083969116, 'redshifts/mse_bin_2': 0.2700129449367523, 'redshifts/mse_bin_3': 0.19878451526165009, 'redshifts/mse_bin_4': 0.21600182354450226, 'redshifts/mse_bin_5': 0.06276779621839523, 'redshifts/nmad': 0.11359761655330658, 'redshifts/nmad_bin_0': 0.2137056142091751, 'redshifts/nmad_bin_1': 0.14345477521419525, 'redshifts/nmad_bin_2': 0.09582134336233139, 'redshifts/nmad_bin_3': 0.07366136461496353, 'redshifts/nmad_bin_4': 0.06464767456054688, 'redshifts/nmad_bin_5': 0.035498060286045074, 'redshifts/outlier_fraction': 0.3293658196926117, 'redshifts/outlier_fraction_bin_0': 0.49204719066619873, 'redshifts/outlier_fraction_bin_1': 0.3566691279411316, 'redshifts/outlier_fraction_bin_2': 0.2631579041481018, 'redshifts/outlier_fraction_bin_3': 0.21532846987247467, 'redshifts/outlier_fraction_bin_4': 0.18817204236984253, 'redshifts/outlier_fraction_bin_5': 0.08396226167678833, 'redshifts/outlier_fraction_cata': 0.0898270383477211, 'redshifts/outlier_fraction_cata_bin_0': 0.1298101544380188, 'redshifts/outlier_fraction_cata_bin_1': 0.10095799714326859, 'redshifts/outlier_fraction_cata_bin_2': 0.08166968822479248, 'redshifts/outlier_fraction_cata_bin_3': 0.062043797224760056, 'redshifts/outlier_fraction_cata_bin_4': 0.06451612710952759, 'redshifts/outlier_fraction_cata_bin_5': 0.017924528568983078}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 22%|██▏ | 84/383 [3:51:41<12:40:37, 152.63s/it]" + " 5%|▌ | 79/1563 [07:26<3:09:27, 7.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([16335.])\n", - "{'redshifts/mse': 0.27178680896759033}\n" + "total num of pts: tensor([5448.])\n", + "total num of pts: tensor([1969., 1375., 562., 277., 190., 1075.])\n", + "{'redshifts/bias_abs': 0.07699018716812134, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09435077011585236, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.024347379803657532, 'redshifts/bias': 0.0057051097974181175, 'redshifts/bias_bin_0': 0.03473338857293129, 'redshifts/bias_bin_1': 0.0160725899040699, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.011363470926880836, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.3058178722858429, 'redshifts/mse_bin_0': 0.43893033266067505, 'redshifts/mse_bin_1': 0.3453924059867859, 'redshifts/mse_bin_2': 0.2787680923938751, 'redshifts/mse_bin_3': 0.19697454571723938, 'redshifts/mse_bin_4': 0.25750789046287537, 'redshifts/mse_bin_5': 0.062113989144563675, 'redshifts/nmad': 0.11356990039348602, 'redshifts/nmad_bin_0': 0.21343162655830383, 'redshifts/nmad_bin_1': 0.1434335559606552, 'redshifts/nmad_bin_2': 0.09338132292032242, 'redshifts/nmad_bin_3': 0.073025643825531, 'redshifts/nmad_bin_4': 0.06321074068546295, 'redshifts/nmad_bin_5': 0.03548389673233032, 'redshifts/outlier_fraction': 0.32892805337905884, 'redshifts/outlier_fraction_bin_0': 0.49111223220825195, 'redshifts/outlier_fraction_bin_1': 0.3563636243343353, 'redshifts/outlier_fraction_bin_2': 0.2651245594024658, 'redshifts/outlier_fraction_bin_3': 0.21299639344215393, 'redshifts/outlier_fraction_bin_4': 0.19473683834075928, 'redshifts/outlier_fraction_bin_5': 0.08372092992067337, 'redshifts/outlier_fraction_cata': 0.09049192070960999, 'redshifts/outlier_fraction_cata_bin_0': 0.13001523911952972, 'redshifts/outlier_fraction_cata_bin_1': 0.10109090805053711, 'redshifts/outlier_fraction_cata_bin_2': 0.0854092538356781, 'redshifts/outlier_fraction_cata_bin_3': 0.06137184053659439, 'redshifts/outlier_fraction_cata_bin_4': 0.0736842080950737, 'redshifts/outlier_fraction_cata_bin_5': 0.017674418166279793}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 22%|██▏ | 85/383 [3:54:12<12:35:38, 152.14s/it]" + " 5%|▌ | 80/1563 [07:33<3:01:32, 7.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([16521.])\n", - "{'redshifts/mse': 0.27168917655944824}\n" + "total num of pts: tensor([5509.])\n", + "total num of pts: tensor([1991., 1388., 566., 279., 190., 1095.])\n", + "{'redshifts/bias_abs': 0.07657601684331894, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.024065982550382614, 'redshifts/bias': 0.00564735708758235, 'redshifts/bias_bin_0': 0.0347428023815155, 'redshifts/bias_bin_1': 0.01566154696047306, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.011363470926880836, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.3066410720348358, 'redshifts/mse_bin_0': 0.4395461082458496, 'redshifts/mse_bin_1': 0.34288662672042847, 'redshifts/mse_bin_2': 0.2871904671192169, 'redshifts/mse_bin_3': 0.1956586241722107, 'redshifts/mse_bin_4': 0.25750789046287537, 'redshifts/mse_bin_5': 0.06589870899915695, 'redshifts/nmad': 0.11324946582317352, 'redshifts/nmad_bin_0': 0.2118009626865387, 'redshifts/nmad_bin_1': 0.1417160928249359, 'redshifts/nmad_bin_2': 0.09501230716705322, 'redshifts/nmad_bin_3': 0.073025643825531, 'redshifts/nmad_bin_4': 0.06321074068546295, 'redshifts/nmad_bin_5': 0.035418055951595306, 'redshifts/outlier_fraction': 0.32873478531837463, 'redshifts/outlier_fraction_bin_0': 0.4912104606628418, 'redshifts/outlier_fraction_bin_1': 0.35446685552597046, 'redshifts/outlier_fraction_bin_2': 0.2667844593524933, 'redshifts/outlier_fraction_bin_3': 0.21146953105926514, 'redshifts/outlier_fraction_bin_4': 0.19473683834075928, 'redshifts/outlier_fraction_bin_5': 0.0858447477221489, 'redshifts/outlier_fraction_cata': 0.09057905524969101, 'redshifts/outlier_fraction_cata_bin_0': 0.13008537888526917, 'redshifts/outlier_fraction_cata_bin_1': 0.10014409571886063, 'redshifts/outlier_fraction_cata_bin_2': 0.08657243847846985, 'redshifts/outlier_fraction_cata_bin_3': 0.06093189865350723, 'redshifts/outlier_fraction_cata_bin_4': 0.0736842080950737, 'redshifts/outlier_fraction_cata_bin_5': 0.019178081303834915}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 22%|██▏ | 86/383 [3:56:41<12:28:53, 151.29s/it]" + " 5%|▌ | 81/1563 [07:37<2:40:59, 6.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([16705.])\n", - "{'redshifts/mse': 0.27365842461586}\n" + "total num of pts: tensor([5585.])\n", + "total num of pts: tensor([2012., 1403., 576., 281., 196., 1117.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.1465388834476471, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.0635160356760025, 'redshifts/bias_abs_bin_3': 0.051819972693920135, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02414206601679325, 'redshifts/bias': 0.005602510645985603, 'redshifts/bias_bin_0': 0.03418132662773132, 'redshifts/bias_bin_1': 0.01552602183073759, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.01121229026466608, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0013793964171782136, 'redshifts/mse': 0.3052864968776703, 'redshifts/mse_bin_0': 0.4404226243495941, 'redshifts/mse_bin_1': 0.3408377468585968, 'redshifts/mse_bin_2': 0.2848023772239685, 'redshifts/mse_bin_3': 0.19623130559921265, 'redshifts/mse_bin_4': 0.2498352825641632, 'redshifts/mse_bin_5': 0.06494695693254471, 'redshifts/nmad': 0.11280156672000885, 'redshifts/nmad_bin_0': 0.2126334011554718, 'redshifts/nmad_bin_1': 0.14191702008247375, 'redshifts/nmad_bin_2': 0.09582134336233139, 'redshifts/nmad_bin_3': 0.0742003470659256, 'redshifts/nmad_bin_4': 0.06464767456054688, 'redshifts/nmad_bin_5': 0.0355965718626976, 'redshifts/outlier_fraction': 0.32855865359306335, 'redshifts/outlier_fraction_bin_0': 0.4935387670993805, 'redshifts/outlier_fraction_bin_1': 0.3528153896331787, 'redshifts/outlier_fraction_bin_2': 0.265625, 'redshifts/outlier_fraction_bin_3': 0.21352313458919525, 'redshifts/outlier_fraction_bin_4': 0.18877550959587097, 'redshifts/outlier_fraction_bin_5': 0.08683975040912628, 'redshifts/outlier_fraction_cata': 0.09042076766490936, 'redshifts/outlier_fraction_cata_bin_0': 0.13071571290493011, 'redshifts/outlier_fraction_cata_bin_1': 0.0997861698269844, 'redshifts/outlier_fraction_cata_bin_2': 0.0868055522441864, 'redshifts/outlier_fraction_cata_bin_3': 0.06049821898341179, 'redshifts/outlier_fraction_cata_bin_4': 0.0714285746216774, 'redshifts/outlier_fraction_cata_bin_5': 0.01880035735666752}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 23%|██▎ | 87/383 [3:59:15<12:30:44, 152.18s/it]" + " 5%|▌ | 82/1563 [07:43<2:31:45, 6.15s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([16885.])\n", - "{'redshifts/mse': 0.27360573410987854}\n" + "total num of pts: tensor([5644.])\n", + "total num of pts: tensor([2037., 1415., 584., 287., 196., 1125.])\n", + "{'redshifts/bias_abs': 0.07600503414869308, 'redshifts/bias_abs_bin_0': 0.1465388834476471, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.06338926404714584, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02400781214237213, 'redshifts/bias': 0.005602510645985603, 'redshifts/bias_bin_0': 0.0347428023815155, 'redshifts/bias_bin_1': 0.015654049813747406, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.011363470926880836, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.3054519593715668, 'redshifts/mse_bin_0': 0.4409903287887573, 'redshifts/mse_bin_1': 0.33894822001457214, 'redshifts/mse_bin_2': 0.28418171405792236, 'redshifts/mse_bin_3': 0.20387689769268036, 'redshifts/mse_bin_4': 0.2498352825641632, 'redshifts/mse_bin_5': 0.06455165892839432, 'redshifts/nmad': 0.11272522807121277, 'redshifts/nmad_bin_0': 0.21344555914402008, 'redshifts/nmad_bin_1': 0.14054995775222778, 'redshifts/nmad_bin_2': 0.09338132292032242, 'redshifts/nmad_bin_3': 0.073025643825531, 'redshifts/nmad_bin_4': 0.06464767456054688, 'redshifts/nmad_bin_5': 0.035383593291044235, 'redshifts/outlier_fraction': 0.3284904360771179, 'redshifts/outlier_fraction_bin_0': 0.4933726191520691, 'redshifts/outlier_fraction_bin_1': 0.3512367606163025, 'redshifts/outlier_fraction_bin_2': 0.2654109597206116, 'redshifts/outlier_fraction_bin_3': 0.2160278707742691, 'redshifts/outlier_fraction_bin_4': 0.18877550959587097, 'redshifts/outlier_fraction_bin_5': 0.08711110800504684, 'redshifts/outlier_fraction_cata': 0.09036144614219666, 'redshifts/outlier_fraction_cata_bin_0': 0.13058419525623322, 'redshifts/outlier_fraction_cata_bin_1': 0.0989399328827858, 'redshifts/outlier_fraction_cata_bin_2': 0.08732876926660538, 'redshifts/outlier_fraction_cata_bin_3': 0.06271777302026749, 'redshifts/outlier_fraction_cata_bin_4': 0.0714285746216774, 'redshifts/outlier_fraction_cata_bin_5': 0.018666666001081467}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 23%|██▎ | 88/383 [4:01:46<12:26:50, 151.90s/it]" + " 5%|▌ | 83/1563 [07:50<2:39:12, 6.45s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([17083.])\n", - "{'redshifts/mse': 0.2734867334365845}\n" + "total num of pts: tensor([5715.])\n", + "total num of pts: tensor([2060., 1434., 591., 291., 197., 1142.])\n", + "{'redshifts/bias_abs': 0.07622567564249039, 'redshifts/bias_abs_bin_0': 0.14700838923454285, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.06240740418434143, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.005693050101399422, 'redshifts/bias_bin_0': 0.03550722450017929, 'redshifts/bias_bin_1': 0.015315216034650803, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.010837200097739697, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.30524536967277527, 'redshifts/mse_bin_0': 0.441495418548584, 'redshifts/mse_bin_1': 0.34017816185951233, 'redshifts/mse_bin_2': 0.28145357966423035, 'redshifts/mse_bin_3': 0.20241673290729523, 'redshifts/mse_bin_4': 0.2487621158361435, 'redshifts/mse_bin_5': 0.06386543810367584, 'redshifts/nmad': 0.11293302476406097, 'redshifts/nmad_bin_0': 0.21514414250850677, 'redshifts/nmad_bin_1': 0.14072544872760773, 'redshifts/nmad_bin_2': 0.09271186590194702, 'redshifts/nmad_bin_3': 0.07312034070491791, 'redshifts/nmad_bin_4': 0.0657447874546051, 'redshifts/nmad_bin_5': 0.03537356108427048, 'redshifts/outlier_fraction': 0.3298337757587433, 'redshifts/outlier_fraction_bin_0': 0.49563106894493103, 'redshifts/outlier_fraction_bin_1': 0.35355648398399353, 'redshifts/outlier_fraction_bin_2': 0.2639593780040741, 'redshifts/outlier_fraction_bin_3': 0.21993127465248108, 'redshifts/outlier_fraction_bin_4': 0.1878172606229782, 'redshifts/outlier_fraction_bin_5': 0.08756567537784576, 'redshifts/outlier_fraction_cata': 0.09046369045972824, 'redshifts/outlier_fraction_cata_bin_0': 0.13106796145439148, 'redshifts/outlier_fraction_cata_bin_1': 0.09972105920314789, 'redshifts/outlier_fraction_cata_bin_2': 0.08629441261291504, 'redshifts/outlier_fraction_cata_bin_3': 0.06185567006468773, 'redshifts/outlier_fraction_cata_bin_4': 0.0710659921169281, 'redshifts/outlier_fraction_cata_bin_5': 0.018388791009783745}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 23%|██▎ | 89/383 [4:04:14<12:18:25, 150.70s/it]" + " 5%|▌ | 84/1563 [07:57<2:45:14, 6.70s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([17271.])\n", - "{'redshifts/mse': 0.2740374207496643}\n" + "total num of pts: tensor([5799.])\n", + "total num of pts: tensor([2086., 1452., 605., 292., 199., 1165.])\n", + "{'redshifts/bias_abs': 0.07582245022058487, 'redshifts/bias_abs_bin_0': 0.14685580134391785, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.024065982550382614, 'redshifts/bias': 0.00549701601266861, 'redshifts/bias_bin_0': 0.0347428023815155, 'redshifts/bias_bin_1': 0.014870855025947094, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.01121229026466608, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.306960791349411, 'redshifts/mse_bin_0': 0.44110754132270813, 'redshifts/mse_bin_1': 0.34290024638175964, 'redshifts/mse_bin_2': 0.277316153049469, 'redshifts/mse_bin_3': 0.21675558388233185, 'redshifts/mse_bin_4': 0.24709244072437286, 'redshifts/mse_bin_5': 0.07020194828510284, 'redshifts/nmad': 0.11237628757953644, 'redshifts/nmad_bin_0': 0.21436363458633423, 'redshifts/nmad_bin_1': 0.14108791947364807, 'redshifts/nmad_bin_2': 0.09229672700166702, 'redshifts/nmad_bin_3': 0.07280150055885315, 'redshifts/nmad_bin_4': 0.06519998610019684, 'redshifts/nmad_bin_5': 0.03542020171880722, 'redshifts/outlier_fraction': 0.32971203327178955, 'redshifts/outlier_fraction_bin_0': 0.49520614743232727, 'redshifts/outlier_fraction_bin_1': 0.3539944887161255, 'redshifts/outlier_fraction_bin_2': 0.2628099322319031, 'redshifts/outlier_fraction_bin_3': 0.2226027399301529, 'redshifts/outlier_fraction_bin_4': 0.1909547746181488, 'redshifts/outlier_fraction_bin_5': 0.08841201663017273, 'redshifts/outlier_fraction_cata': 0.09053285419940948, 'redshifts/outlier_fraction_cata_bin_0': 0.13087248802185059, 'redshifts/outlier_fraction_cata_bin_1': 0.09986226260662079, 'redshifts/outlier_fraction_cata_bin_2': 0.08429752290248871, 'redshifts/outlier_fraction_cata_bin_3': 0.06506849080324173, 'redshifts/outlier_fraction_cata_bin_4': 0.07035175710916519, 'redshifts/outlier_fraction_cata_bin_5': 0.019742488861083984}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 23%|██▎ | 90/383 [4:06:46<12:17:21, 150.99s/it]" + " 5%|▌ | 85/1563 [08:01<2:28:08, 6.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([17475.])\n", - "{'redshifts/mse': 0.2732391953468323}\n" + "total num of pts: tensor([5880.])\n", + "total num of pts: tensor([2116., 1475., 613., 298., 199., 1179.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.14685580134391785, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.04921090230345726, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.02414206601679325, 'redshifts/bias': 0.005446040071547031, 'redshifts/bias_bin_0': 0.03456380218267441, 'redshifts/bias_bin_1': 0.01456430833786726, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.010383915156126022, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.3077334761619568, 'redshifts/mse_bin_0': 0.44465896487236023, 'redshifts/mse_bin_1': 0.3409850299358368, 'redshifts/mse_bin_2': 0.27661368250846863, 'redshifts/mse_bin_3': 0.212882399559021, 'redshifts/mse_bin_4': 0.24709244072437286, 'redshifts/mse_bin_5': 0.07077880203723907, 'redshifts/nmad': 0.11248615384101868, 'redshifts/nmad_bin_0': 0.21462900936603546, 'redshifts/nmad_bin_1': 0.14112348854541779, 'redshifts/nmad_bin_2': 0.09229672700166702, 'redshifts/nmad_bin_3': 0.07278990745544434, 'redshifts/nmad_bin_4': 0.06519998610019684, 'redshifts/nmad_bin_5': 0.035485465079545975, 'redshifts/outlier_fraction': 0.32976189255714417, 'redshifts/outlier_fraction_bin_0': 0.4952740967273712, 'redshifts/outlier_fraction_bin_1': 0.3545762598514557, 'redshifts/outlier_fraction_bin_2': 0.2626427412033081, 'redshifts/outlier_fraction_bin_3': 0.21812079846858978, 'redshifts/outlier_fraction_bin_4': 0.1909547746181488, 'redshifts/outlier_fraction_bin_5': 0.0882103443145752, 'redshifts/outlier_fraction_cata': 0.09098639339208603, 'redshifts/outlier_fraction_cata_bin_0': 0.13185255229473114, 'redshifts/outlier_fraction_cata_bin_1': 0.09966101497411728, 'redshifts/outlier_fraction_cata_bin_2': 0.08482871204614639, 'redshifts/outlier_fraction_cata_bin_3': 0.06375838816165924, 'redshifts/outlier_fraction_cata_bin_4': 0.07035175710916519, 'redshifts/outlier_fraction_cata_bin_5': 0.020356234163045883}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 24%|██▍ | 91/383 [4:09:18<12:15:41, 151.17s/it]" + " 6%|▌ | 86/1563 [08:06<2:14:41, 5.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([17641.])\n", - "{'redshifts/mse': 0.2733822762966156}\n" + "total num of pts: tensor([5944.])\n", + "total num of pts: tensor([2144., 1494., 623., 300., 199., 1184.])\n", + "{'redshifts/bias_abs': 0.07601064443588257, 'redshifts/bias_abs_bin_0': 0.14671963453292847, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.0621049664914608, 'redshifts/bias_abs_bin_3': 0.04921090230345726, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.024065982550382614, 'redshifts/bias': 0.005511575844138861, 'redshifts/bias_bin_0': 0.03441818803548813, 'redshifts/bias_bin_1': 0.014471970498561859, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.009593989700078964, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.30743545293807983, 'redshifts/mse_bin_0': 0.4441216289997101, 'redshifts/mse_bin_1': 0.3409081995487213, 'redshifts/mse_bin_2': 0.27257201075553894, 'redshifts/mse_bin_3': 0.21149061620235443, 'redshifts/mse_bin_4': 0.24709244072437286, 'redshifts/mse_bin_5': 0.07048378139734268, 'redshifts/nmad': 0.11269281804561615, 'redshifts/nmad_bin_0': 0.214186891913414, 'redshifts/nmad_bin_1': 0.14077292382717133, 'redshifts/nmad_bin_2': 0.09248456358909607, 'redshifts/nmad_bin_3': 0.07266678661108017, 'redshifts/nmad_bin_4': 0.06519998610019684, 'redshifts/nmad_bin_5': 0.035418055951595306, 'redshifts/outlier_fraction': 0.32974427938461304, 'redshifts/outlier_fraction_bin_0': 0.4944029748439789, 'redshifts/outlier_fraction_bin_1': 0.35542169213294983, 'redshifts/outlier_fraction_bin_2': 0.26003211736679077, 'redshifts/outlier_fraction_bin_3': 0.21666666865348816, 'redshifts/outlier_fraction_bin_4': 0.1909547746181488, 'redshifts/outlier_fraction_bin_5': 0.0878378376364708, 'redshifts/outlier_fraction_cata': 0.09101615101099014, 'redshifts/outlier_fraction_cata_bin_0': 0.1319962739944458, 'redshifts/outlier_fraction_cata_bin_1': 0.09973226487636566, 'redshifts/outlier_fraction_cata_bin_2': 0.08346709609031677, 'redshifts/outlier_fraction_cata_bin_3': 0.06333333253860474, 'redshifts/outlier_fraction_cata_bin_4': 0.07035175710916519, 'redshifts/outlier_fraction_cata_bin_5': 0.020270269364118576}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 24%|██▍ | 92/383 [4:11:50<12:15:20, 151.62s/it]" + " 6%|▌ | 87/1563 [08:11<2:14:58, 5.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([17845.])\n", - "{'redshifts/mse': 0.27414247393608093}\n" + "total num of pts: tensor([6003.])\n", + "total num of pts: tensor([2171., 1506., 629., 303., 200., 1194.])\n", + "{'redshifts/bias_abs': 0.07670407742261887, 'redshifts/bias_abs_bin_0': 0.14675739407539368, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.06240740418434143, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.005511575844138861, 'redshifts/bias_bin_0': 0.03441818803548813, 'redshifts/bias_bin_1': 0.014471970498561859, 'redshifts/bias_bin_2': 0.0014048165176063776, 'redshifts/bias_bin_3': -0.009593989700078964, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.3091611862182617, 'redshifts/mse_bin_0': 0.4463008642196655, 'redshifts/mse_bin_1': 0.3425734341144562, 'redshifts/mse_bin_2': 0.2719166874885559, 'redshifts/mse_bin_3': 0.21083754301071167, 'redshifts/mse_bin_4': 0.24917052686214447, 'redshifts/mse_bin_5': 0.07228416949510574, 'redshifts/nmad': 0.11327093094587326, 'redshifts/nmad_bin_0': 0.214186891913414, 'redshifts/nmad_bin_1': 0.13966573774814606, 'redshifts/nmad_bin_2': 0.0927269235253334, 'redshifts/nmad_bin_3': 0.07322919368743896, 'redshifts/nmad_bin_4': 0.06546103209257126, 'redshifts/nmad_bin_5': 0.03537356108427048, 'redshifts/outlier_fraction': 0.3303348422050476, 'redshifts/outlier_fraction_bin_0': 0.49424228072166443, 'redshifts/outlier_fraction_bin_1': 0.35458168387413025, 'redshifts/outlier_fraction_bin_2': 0.2623211443424225, 'redshifts/outlier_fraction_bin_3': 0.2211221158504486, 'redshifts/outlier_fraction_bin_4': 0.19499999284744263, 'redshifts/outlier_fraction_bin_5': 0.08793970197439194, 'redshifts/outlier_fraction_cata': 0.09112110733985901, 'redshifts/outlier_fraction_cata_bin_0': 0.13173653185367584, 'redshifts/outlier_fraction_cata_bin_1': 0.10026560723781586, 'redshifts/outlier_fraction_cata_bin_2': 0.0826709046959877, 'redshifts/outlier_fraction_cata_bin_3': 0.06270626932382584, 'redshifts/outlier_fraction_cata_bin_4': 0.07000000029802322, 'redshifts/outlier_fraction_cata_bin_5': 0.020938023924827576}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 24%|██▍ | 93/383 [4:14:27<12:20:04, 153.12s/it]" + " 6%|▌ | 88/1563 [08:16<2:09:59, 5.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([18027.])\n", - "{'redshifts/mse': 0.2736857533454895}\n" + "total num of pts: tensor([6082.])\n", + "total num of pts: tensor([2202., 1525., 636., 305., 203., 1211.])\n", + "{'redshifts/bias_abs': 0.07600503414869308, 'redshifts/bias_abs_bin_0': 0.1465388834476471, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.0621049664914608, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.00543611915782094, 'redshifts/bias_bin_0': 0.03383445367217064, 'redshifts/bias_bin_1': 0.01456430833786726, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.008894039317965508, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0013793964171782136, 'redshifts/mse': 0.3083754777908325, 'redshifts/mse_bin_0': 0.4433382749557495, 'redshifts/mse_bin_1': 0.3462730050086975, 'redshifts/mse_bin_2': 0.269003689289093, 'redshifts/mse_bin_3': 0.20955564081668854, 'redshifts/mse_bin_4': 0.24561749398708344, 'redshifts/mse_bin_5': 0.07133155316114426, 'redshifts/nmad': 0.11259403824806213, 'redshifts/nmad_bin_0': 0.2132609635591507, 'redshifts/nmad_bin_1': 0.14112348854541779, 'redshifts/nmad_bin_2': 0.09248456358909607, 'redshifts/nmad_bin_3': 0.07368381321430206, 'redshifts/nmad_bin_4': 0.06546103209257126, 'redshifts/nmad_bin_5': 0.03525172173976898, 'redshifts/outlier_fraction': 0.3299901485443115, 'redshifts/outlier_fraction_bin_0': 0.4936421513557434, 'redshifts/outlier_fraction_bin_1': 0.35672131180763245, 'redshifts/outlier_fraction_bin_2': 0.25943395495414734, 'redshifts/outlier_fraction_bin_3': 0.21967212855815887, 'redshifts/outlier_fraction_bin_4': 0.19211822748184204, 'redshifts/outlier_fraction_bin_5': 0.08670520037412643, 'redshifts/outlier_fraction_cata': 0.09059520065784454, 'redshifts/outlier_fraction_cata_bin_0': 0.12988191843032837, 'redshifts/outlier_fraction_cata_bin_1': 0.10163934528827667, 'redshifts/outlier_fraction_cata_bin_2': 0.08176100999116898, 'redshifts/outlier_fraction_cata_bin_3': 0.062295082956552505, 'redshifts/outlier_fraction_cata_bin_4': 0.06896551698446274, 'redshifts/outlier_fraction_cata_bin_5': 0.02064409665763378}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 25%|██▍ | 94/383 [4:16:58<12:15:01, 152.60s/it]" + " 6%|▌ | 89/1563 [08:21<2:10:45, 5.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([18214.])\n", - "{'redshifts/mse': 0.2756184935569763}\n" + "total num of pts: tensor([6154.])\n", + "total num of pts: tensor([2225., 1543., 646., 309., 205., 1226.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.1465388834476471, 'redshifts/bias_abs_bin_1': 0.09286471456289291, 'redshifts/bias_abs_bin_2': 0.0621049664914608, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.005336731672286987, 'redshifts/bias_bin_0': 0.03289644792675972, 'redshifts/bias_bin_1': 0.014870855025947094, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.30987223982810974, 'redshifts/mse_bin_0': 0.44133394956588745, 'redshifts/mse_bin_1': 0.35656869411468506, 'redshifts/mse_bin_2': 0.2663498520851135, 'redshifts/mse_bin_3': 0.21394509077072144, 'redshifts/mse_bin_4': 0.24322181940078735, 'redshifts/mse_bin_5': 0.07077495008707047, 'redshifts/nmad': 0.11279100924730301, 'redshifts/nmad_bin_0': 0.21430498361587524, 'redshifts/nmad_bin_1': 0.14157797396183014, 'redshifts/nmad_bin_2': 0.09248456358909607, 'redshifts/nmad_bin_3': 0.07570194453001022, 'redshifts/nmad_bin_4': 0.06519247591495514, 'redshifts/nmad_bin_5': 0.03538728505373001, 'redshifts/outlier_fraction': 0.330354243516922, 'redshifts/outlier_fraction_bin_0': 0.49348315596580505, 'redshifts/outlier_fraction_bin_1': 0.3590408265590668, 'redshifts/outlier_fraction_bin_2': 0.2585139274597168, 'redshifts/outlier_fraction_bin_3': 0.223300963640213, 'redshifts/outlier_fraction_bin_4': 0.1902438998222351, 'redshifts/outlier_fraction_bin_5': 0.08646003156900406, 'redshifts/outlier_fraction_cata': 0.09083522856235504, 'redshifts/outlier_fraction_cata_bin_0': 0.12898875772953033, 'redshifts/outlier_fraction_cata_bin_1': 0.10434219241142273, 'redshifts/outlier_fraction_cata_bin_2': 0.08049535751342773, 'redshifts/outlier_fraction_cata_bin_3': 0.06472492218017578, 'redshifts/outlier_fraction_cata_bin_4': 0.06829268485307693, 'redshifts/outlier_fraction_cata_bin_5': 0.020391516387462616}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 25%|██▍ | 95/383 [4:19:29<12:09:06, 151.90s/it]" + " 6%|▌ | 90/1563 [08:27<2:14:52, 5.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([18414.])\n", - "{'redshifts/mse': 0.27508309483528137}\n" + "total num of pts: tensor([6217.])\n", + "total num of pts: tensor([2245., 1556., 653., 314., 209., 1240.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.1465388834476471, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.06240740418434143, 'redshifts/bias_abs_bin_3': 0.050627920776605606, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.02400781214237213, 'redshifts/bias': 0.0053303055465221405, 'redshifts/bias_bin_0': 0.03257489576935768, 'redshifts/bias_bin_1': 0.014379010535776615, 'redshifts/bias_bin_2': 0.0017497100634500384, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0013427960220724344, 'redshifts/mse': 0.3085518777370453, 'redshifts/mse_bin_0': 0.43940529227256775, 'redshifts/mse_bin_1': 0.355825811624527, 'redshifts/mse_bin_2': 0.26544442772865295, 'redshifts/mse_bin_3': 0.21107105910778046, 'redshifts/mse_bin_4': 0.23880448937416077, 'redshifts/mse_bin_5': 0.07146508991718292, 'redshifts/nmad': 0.11278148740530014, 'redshifts/nmad_bin_0': 0.21409153938293457, 'redshifts/nmad_bin_1': 0.14185385406017303, 'redshifts/nmad_bin_2': 0.09300003945827484, 'redshifts/nmad_bin_3': 0.07570194453001022, 'redshifts/nmad_bin_4': 0.06519998610019684, 'redshifts/nmad_bin_5': 0.03547884151339531, 'redshifts/outlier_fraction': 0.32990187406539917, 'redshifts/outlier_fraction_bin_0': 0.4935412108898163, 'redshifts/outlier_fraction_bin_1': 0.35925450921058655, 'redshifts/outlier_fraction_bin_2': 0.258805513381958, 'redshifts/outlier_fraction_bin_3': 0.2197452187538147, 'redshifts/outlier_fraction_bin_4': 0.1866028755903244, 'redshifts/outlier_fraction_bin_5': 0.08629032224416733, 'redshifts/outlier_fraction_cata': 0.09039729833602905, 'redshifts/outlier_fraction_cata_bin_0': 0.12828508019447327, 'redshifts/outlier_fraction_cata_bin_1': 0.10411310940980911, 'redshifts/outlier_fraction_cata_bin_2': 0.079632468521595, 'redshifts/outlier_fraction_cata_bin_3': 0.06369426846504211, 'redshifts/outlier_fraction_cata_bin_4': 0.06698564440011978, 'redshifts/outlier_fraction_cata_bin_5': 0.020967742428183556}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 25%|██▌ | 96/383 [4:22:04<12:11:51, 153.00s/it]" + " 6%|▌ | 91/1563 [08:31<2:04:21, 5.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([18609.])\n", - "{'redshifts/mse': 0.2748367190361023}\n" + "total num of pts: tensor([6300.])\n", + "total num of pts: tensor([2274., 1574., 666., 321., 210., 1255.])\n", + "{'redshifts/bias_abs': 0.0757506713271141, 'redshifts/bias_abs_bin_0': 0.14671963453292847, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.06122959032654762, 'redshifts/bias_abs_bin_3': 0.04836057871580124, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.005336731672286987, 'redshifts/bias_bin_0': 0.03229905664920807, 'redshifts/bias_bin_1': 0.014379010535776615, 'redshifts/bias_bin_2': 0.0023390210699290037, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0013427960220724344, 'redshifts/mse': 0.3091145157814026, 'redshifts/mse_bin_0': 0.4441758990287781, 'redshifts/mse_bin_1': 0.3550224304199219, 'redshifts/mse_bin_2': 0.2608189582824707, 'redshifts/mse_bin_3': 0.20653952658176422, 'redshifts/mse_bin_4': 0.2376853972673416, 'redshifts/mse_bin_5': 0.07063177973031998, 'redshifts/nmad': 0.11240522563457489, 'redshifts/nmad_bin_0': 0.2144620567560196, 'redshifts/nmad_bin_1': 0.14185385406017303, 'redshifts/nmad_bin_2': 0.09119334816932678, 'redshifts/nmad_bin_3': 0.07483834028244019, 'redshifts/nmad_bin_4': 0.06519247591495514, 'redshifts/nmad_bin_5': 0.03520095348358154, 'redshifts/outlier_fraction': 0.329365074634552, 'redshifts/outlier_fraction_bin_0': 0.49428319931030273, 'redshifts/outlier_fraction_bin_1': 0.35959339141845703, 'redshifts/outlier_fraction_bin_2': 0.25525525212287903, 'redshifts/outlier_fraction_bin_3': 0.21495327353477478, 'redshifts/outlier_fraction_bin_4': 0.18571428954601288, 'redshifts/outlier_fraction_bin_5': 0.08525896072387695, 'redshifts/outlier_fraction_cata': 0.09015873074531555, 'redshifts/outlier_fraction_cata_bin_0': 0.1288478523492813, 'redshifts/outlier_fraction_cata_bin_1': 0.10355781763792038, 'redshifts/outlier_fraction_cata_bin_2': 0.07807807624340057, 'redshifts/outlier_fraction_cata_bin_3': 0.06230529770255089, 'redshifts/outlier_fraction_cata_bin_4': 0.06666667014360428, 'redshifts/outlier_fraction_cata_bin_5': 0.020717130973935127}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 25%|██▌ | 97/383 [4:24:37<12:08:46, 152.89s/it]" + " 6%|▌ | 92/1563 [08:37<2:05:47, 5.13s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([18778.])\n", - "{'redshifts/mse': 0.27507245540618896}\n" + "total num of pts: tensor([6382.])\n", + "total num of pts: tensor([2307., 1591., 676., 327., 213., 1268.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14675739407539368, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.06122959032654762, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023983925580978394, 'redshifts/bias': 0.005336731672286987, 'redshifts/bias_bin_0': 0.03180370852351189, 'redshifts/bias_bin_1': 0.013864584267139435, 'redshifts/bias_bin_2': 0.002728644758462906, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.3080768287181854, 'redshifts/mse_bin_0': 0.4415375292301178, 'redshifts/mse_bin_1': 0.3534001111984253, 'redshifts/mse_bin_2': 0.26345402002334595, 'redshifts/mse_bin_3': 0.20330600440502167, 'redshifts/mse_bin_4': 0.23508614301681519, 'redshifts/mse_bin_5': 0.07146033644676208, 'redshifts/nmad': 0.11240522563457489, 'redshifts/nmad_bin_0': 0.21294818818569183, 'redshifts/nmad_bin_1': 0.14109116792678833, 'redshifts/nmad_bin_2': 0.09143523126840591, 'redshifts/nmad_bin_3': 0.07386412471532822, 'redshifts/nmad_bin_4': 0.06519998610019684, 'redshifts/nmad_bin_5': 0.035364001989364624, 'redshifts/outlier_fraction': 0.3292071521282196, 'redshifts/outlier_fraction_bin_0': 0.49414825439453125, 'redshifts/outlier_fraction_bin_1': 0.3588937819004059, 'redshifts/outlier_fraction_bin_2': 0.25591716170310974, 'redshifts/outlier_fraction_bin_3': 0.214067280292511, 'redshifts/outlier_fraction_bin_4': 0.18309858441352844, 'redshifts/outlier_fraction_bin_5': 0.08517350256443024, 'redshifts/outlier_fraction_cata': 0.08978376537561417, 'redshifts/outlier_fraction_cata_bin_0': 0.12787169218063354, 'redshifts/outlier_fraction_cata_bin_1': 0.10307982563972473, 'redshifts/outlier_fraction_cata_bin_2': 0.07840237021446228, 'redshifts/outlier_fraction_cata_bin_3': 0.061162080615758896, 'redshifts/outlier_fraction_cata_bin_4': 0.06572769582271576, 'redshifts/outlier_fraction_cata_bin_5': 0.02129337564110756}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 26%|██▌ | 98/383 [4:27:05<11:59:01, 151.37s/it]" + " 6%|▌ | 93/1563 [08:42<2:04:05, 5.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([18953.])\n", - "{'redshifts/mse': 0.27435043454170227}\n" + "total num of pts: tensor([6435.])\n", + "total num of pts: tensor([2332., 1601., 679., 331., 214., 1278.])\n", + "{'redshifts/bias_abs': 0.07562890648841858, 'redshifts/bias_abs_bin_0': 0.14633145928382874, 'redshifts/bias_abs_bin_1': 0.09286471456289291, 'redshifts/bias_abs_bin_2': 0.06122959032654762, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.0053303055465221405, 'redshifts/bias_bin_0': 0.03170406073331833, 'redshifts/bias_bin_1': 0.014135166071355343, 'redshifts/bias_bin_2': 0.0023390210699290037, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.30737799406051636, 'redshifts/mse_bin_0': 0.44150155782699585, 'redshifts/mse_bin_1': 0.3516400158405304, 'redshifts/mse_bin_2': 0.2624759078025818, 'redshifts/mse_bin_3': 0.2008918970823288, 'redshifts/mse_bin_4': 0.23399260640144348, 'redshifts/mse_bin_5': 0.07091613113880157, 'redshifts/nmad': 0.112178273499012, 'redshifts/nmad_bin_0': 0.21201622486114502, 'redshifts/nmad_bin_1': 0.14155811071395874, 'redshifts/nmad_bin_2': 0.09119334816932678, 'redshifts/nmad_bin_3': 0.07228252291679382, 'redshifts/nmad_bin_4': 0.06493143737316132, 'redshifts/nmad_bin_5': 0.03513937070965767, 'redshifts/outlier_fraction': 0.3285159170627594, 'redshifts/outlier_fraction_bin_0': 0.4927101135253906, 'redshifts/outlier_fraction_bin_1': 0.35852593183517456, 'redshifts/outlier_fraction_bin_2': 0.2562592029571533, 'redshifts/outlier_fraction_bin_3': 0.21148036420345306, 'redshifts/outlier_fraction_bin_4': 0.1822429895401001, 'redshifts/outlier_fraction_bin_5': 0.0845070406794548, 'redshifts/outlier_fraction_cata': 0.0895104929804802, 'redshifts/outlier_fraction_cata_bin_0': 0.12778730690479279, 'redshifts/outlier_fraction_cata_bin_1': 0.10243597626686096, 'redshifts/outlier_fraction_cata_bin_2': 0.0780559629201889, 'redshifts/outlier_fraction_cata_bin_3': 0.06042296066880226, 'redshifts/outlier_fraction_cata_bin_4': 0.06542056053876877, 'redshifts/outlier_fraction_cata_bin_5': 0.0211267601698637}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 26%|██▌ | 99/383 [4:29:42<12:05:02, 153.18s/it]" + " 6%|▌ | 94/1563 [08:47<2:06:20, 5.16s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([19134.])\n", - "{'redshifts/mse': 0.27453646063804626}\n" + "total num of pts: tensor([6506.])\n", + "total num of pts: tensor([2353., 1616., 687., 340., 216., 1294.])\n", + "{'redshifts/bias_abs': 0.0755268931388855, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.06203432381153107, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.005336731672286987, 'redshifts/bias_bin_0': 0.03170373663306236, 'redshifts/bias_bin_1': 0.014379010535776615, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.3064698874950409, 'redshifts/mse_bin_0': 0.44000837206840515, 'redshifts/mse_bin_1': 0.352726012468338, 'redshifts/mse_bin_2': 0.2621447443962097, 'redshifts/mse_bin_3': 0.19906926155090332, 'redshifts/mse_bin_4': 0.23186111450195312, 'redshifts/mse_bin_5': 0.07008540630340576, 'redshifts/nmad': 0.11214437335729599, 'redshifts/nmad_bin_0': 0.21186374127864838, 'redshifts/nmad_bin_1': 0.14191962778568268, 'redshifts/nmad_bin_2': 0.09149164706468582, 'redshifts/nmad_bin_3': 0.07222646474838257, 'redshifts/nmad_bin_4': 0.06483273208141327, 'redshifts/nmad_bin_5': 0.03508923202753067, 'redshifts/outlier_fraction': 0.32754379510879517, 'redshifts/outlier_fraction_bin_0': 0.49086272716522217, 'redshifts/outlier_fraction_bin_1': 0.3595297038555145, 'redshifts/outlier_fraction_bin_2': 0.256186306476593, 'redshifts/outlier_fraction_bin_3': 0.21176470816135406, 'redshifts/outlier_fraction_bin_4': 0.1805555522441864, 'redshifts/outlier_fraction_bin_5': 0.08346213400363922, 'redshifts/outlier_fraction_cata': 0.08945588767528534, 'redshifts/outlier_fraction_cata_bin_0': 0.12792180478572845, 'redshifts/outlier_fraction_cata_bin_1': 0.10272277146577835, 'redshifts/outlier_fraction_cata_bin_2': 0.0786026194691658, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.06481481343507767, 'redshifts/outlier_fraction_cata_bin_5': 0.020865533500909805}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 26%|██▌ | 100/383 [4:32:17<12:04:28, 153.60s/it]" + " 6%|▌ | 95/1563 [08:52<2:04:28, 5.09s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([19318.])\n", - "{'redshifts/mse': 0.27529585361480713}\n" + "total num of pts: tensor([6581.])\n", + "total num of pts: tensor([2375., 1637., 698., 344., 219., 1308.])\n", + "{'redshifts/bias_abs': 0.07537379860877991, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.06122959032654762, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.0053303055465221405, 'redshifts/bias_bin_0': 0.03170406073331833, 'redshifts/bias_bin_1': 0.014093687757849693, 'redshifts/bias_bin_2': 0.0017497100634500384, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.001303885830566287, 'redshifts/mse': 0.3058384656906128, 'redshifts/mse_bin_0': 0.43788543343544006, 'redshifts/mse_bin_1': 0.35391268134117126, 'redshifts/mse_bin_2': 0.25917869806289673, 'redshifts/mse_bin_3': 0.20761443674564362, 'redshifts/mse_bin_4': 0.22877933084964752, 'redshifts/mse_bin_5': 0.06954339891672134, 'redshifts/nmad': 0.11202981323003769, 'redshifts/nmad_bin_0': 0.21089854836463928, 'redshifts/nmad_bin_1': 0.1414308398962021, 'redshifts/nmad_bin_2': 0.09064815938472748, 'redshifts/nmad_bin_3': 0.07222646474838257, 'redshifts/nmad_bin_4': 0.06456417590379715, 'redshifts/nmad_bin_5': 0.03509312495589256, 'redshifts/outlier_fraction': 0.3263941705226898, 'redshifts/outlier_fraction_bin_0': 0.4892631471157074, 'redshifts/outlier_fraction_bin_1': 0.3579719066619873, 'redshifts/outlier_fraction_bin_2': 0.2535816729068756, 'redshifts/outlier_fraction_bin_3': 0.21511627733707428, 'redshifts/outlier_fraction_bin_4': 0.1780821979045868, 'redshifts/outlier_fraction_bin_5': 0.08409786224365234, 'redshifts/outlier_fraction_cata': 0.08919616788625717, 'redshifts/outlier_fraction_cata_bin_0': 0.12715789675712585, 'redshifts/outlier_fraction_cata_bin_1': 0.10323762893676758, 'redshifts/outlier_fraction_cata_bin_2': 0.07736389338970184, 'redshifts/outlier_fraction_cata_bin_3': 0.06104651093482971, 'redshifts/outlier_fraction_cata_bin_4': 0.06392694264650345, 'redshifts/outlier_fraction_cata_bin_5': 0.020642202347517014}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 26%|██▋ | 101/383 [4:34:48<11:58:46, 152.93s/it]" + " 6%|▌ | 96/1563 [08:57<2:03:05, 5.03s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([19504.])\n", - "{'redshifts/mse': 0.2762150764465332}\n" + "total num of pts: tensor([6640.])\n", + "total num of pts: tensor([2395., 1651., 706., 346., 223., 1319.])\n", + "{'redshifts/bias_abs': 0.07532190531492233, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.06113863363862038, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.005336731672286987, 'redshifts/bias_bin_0': 0.032387785613536835, 'redshifts/bias_bin_1': 0.013864584267139435, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.30477258563041687, 'redshifts/mse_bin_0': 0.4364643096923828, 'redshifts/mse_bin_1': 0.35410723090171814, 'redshifts/mse_bin_2': 0.2565188705921173, 'redshifts/mse_bin_3': 0.20642319321632385, 'redshifts/mse_bin_4': 0.2248930037021637, 'redshifts/mse_bin_5': 0.06903120875358582, 'redshifts/nmad': 0.11173214763402939, 'redshifts/nmad_bin_0': 0.2111414223909378, 'redshifts/nmad_bin_1': 0.14109116792678833, 'redshifts/nmad_bin_2': 0.09068478643894196, 'redshifts/nmad_bin_3': 0.07099726051092148, 'redshifts/nmad_bin_4': 0.06261981278657913, 'redshifts/nmad_bin_5': 0.03505340963602066, 'redshifts/outlier_fraction': 0.32590362429618835, 'redshifts/outlier_fraction_bin_0': 0.489352822303772, 'redshifts/outlier_fraction_bin_1': 0.3579648733139038, 'redshifts/outlier_fraction_bin_2': 0.2507082223892212, 'redshifts/outlier_fraction_bin_3': 0.21387283504009247, 'redshifts/outlier_fraction_bin_4': 0.17488789558410645, 'redshifts/outlier_fraction_bin_5': 0.08415466547012329, 'redshifts/outlier_fraction_cata': 0.08900602161884308, 'redshifts/outlier_fraction_cata_bin_0': 0.12651357054710388, 'redshifts/outlier_fraction_cata_bin_1': 0.10417928546667099, 'redshifts/outlier_fraction_cata_bin_2': 0.07648725062608719, 'redshifts/outlier_fraction_cata_bin_3': 0.060693640261888504, 'redshifts/outlier_fraction_cata_bin_4': 0.06278026849031448, 'redshifts/outlier_fraction_cata_bin_5': 0.02047005295753479}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 27%|██▋ | 102/383 [4:37:21<11:56:25, 152.97s/it]" + " 6%|▌ | 97/1563 [09:01<1:56:35, 4.77s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([19706.])\n", - "{'redshifts/mse': 0.276243656873703}\n" + "total num of pts: tensor([6716.])\n", + "total num of pts: tensor([2429., 1663., 711., 349., 227., 1337.])\n", + "{'redshifts/bias_abs': 0.07527799904346466, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.06113863363862038, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.005446040071547031, 'redshifts/bias_bin_0': 0.032566480338573456, 'redshifts/bias_bin_1': 0.01333862915635109, 'redshifts/bias_bin_2': 0.0018601736519485712, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.3057459592819214, 'redshifts/mse_bin_0': 0.4371020197868347, 'redshifts/mse_bin_1': 0.35547077655792236, 'redshifts/mse_bin_2': 0.2548958361148834, 'redshifts/mse_bin_3': 0.20465119183063507, 'redshifts/mse_bin_4': 0.24952366948127747, 'redshifts/mse_bin_5': 0.0682322159409523, 'redshifts/nmad': 0.11171381920576096, 'redshifts/nmad_bin_0': 0.21138106286525726, 'redshifts/nmad_bin_1': 0.139923557639122, 'redshifts/nmad_bin_2': 0.0904834121465683, 'redshifts/nmad_bin_3': 0.06905515491962433, 'redshifts/nmad_bin_4': 0.06519247591495514, 'redshifts/nmad_bin_5': 0.03494500368833542, 'redshifts/outlier_fraction': 0.32549136877059937, 'redshifts/outlier_fraction_bin_0': 0.4890901744365692, 'redshifts/outlier_fraction_bin_1': 0.3577871322631836, 'redshifts/outlier_fraction_bin_2': 0.24894514679908752, 'redshifts/outlier_fraction_bin_3': 0.21203438937664032, 'redshifts/outlier_fraction_bin_4': 0.18061673641204834, 'redshifts/outlier_fraction_bin_5': 0.08302169293165207, 'redshifts/outlier_fraction_cata': 0.0890410989522934, 'redshifts/outlier_fraction_cata_bin_0': 0.12638945877552032, 'redshifts/outlier_fraction_cata_bin_1': 0.10463018715381622, 'redshifts/outlier_fraction_cata_bin_2': 0.07594936341047287, 'redshifts/outlier_fraction_cata_bin_3': 0.06017192080616951, 'redshifts/outlier_fraction_cata_bin_4': 0.06607929617166519, 'redshifts/outlier_fraction_cata_bin_5': 0.020194465294480324}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 27%|██▋ | 103/383 [4:39:52<11:50:55, 152.34s/it]" + " 6%|▋ | 98/1563 [09:05<1:53:27, 4.65s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([19888.])\n", - "{'redshifts/mse': 0.2757378816604614}\n" + "total num of pts: tensor([6780.])\n", + "total num of pts: tensor([2454., 1677., 720., 351., 229., 1349.])\n", + "{'redshifts/bias_abs': 0.07511720806360245, 'redshifts/bias_abs_bin_0': 0.14263629913330078, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.06113863363862038, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.0053303055465221405, 'redshifts/bias_bin_0': 0.03172580897808075, 'redshifts/bias_bin_1': 0.01333862915635109, 'redshifts/bias_bin_2': 0.0014048165176063776, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.3059144914150238, 'redshifts/mse_bin_0': 0.43499621748924255, 'redshifts/mse_bin_1': 0.35432717204093933, 'redshifts/mse_bin_2': 0.2589344382286072, 'redshifts/mse_bin_3': 0.20348548889160156, 'redshifts/mse_bin_4': 0.24781475961208344, 'redshifts/mse_bin_5': 0.0725049376487732, 'redshifts/nmad': 0.11157972365617752, 'redshifts/nmad_bin_0': 0.20897258818149567, 'redshifts/nmad_bin_1': 0.13930629193782806, 'redshifts/nmad_bin_2': 0.09044243395328522, 'redshifts/nmad_bin_3': 0.0682610273361206, 'redshifts/nmad_bin_4': 0.06519247591495514, 'redshifts/nmad_bin_5': 0.03492441400885582, 'redshifts/outlier_fraction': 0.3249262571334839, 'redshifts/outlier_fraction_bin_0': 0.4869600534439087, 'redshifts/outlier_fraction_bin_1': 0.356589138507843, 'redshifts/outlier_fraction_bin_2': 0.24861110746860504, 'redshifts/outlier_fraction_bin_3': 0.21082621812820435, 'redshifts/outlier_fraction_bin_4': 0.18340611457824707, 'redshifts/outlier_fraction_bin_5': 0.08524832874536514, 'redshifts/outlier_fraction_cata': 0.08893804997205734, 'redshifts/outlier_fraction_cata_bin_0': 0.12591686844825745, 'redshifts/outlier_fraction_cata_bin_1': 0.10435301065444946, 'redshifts/outlier_fraction_cata_bin_2': 0.0763888880610466, 'redshifts/outlier_fraction_cata_bin_3': 0.05982905998826027, 'redshifts/outlier_fraction_cata_bin_4': 0.06550218164920807, 'redshifts/outlier_fraction_cata_bin_5': 0.02075611613690853}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 27%|██▋ | 104/383 [4:42:22<11:45:08, 151.64s/it]" + " 6%|▋ | 99/1563 [09:10<1:56:04, 4.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([20102.])\n", - "{'redshifts/mse': 0.2746131122112274}\n" + "total num of pts: tensor([6838.])\n", + "total num of pts: tensor([2475., 1689., 729., 352., 231., 1362.])\n", + "{'redshifts/bias_abs': 0.07505328208208084, 'redshifts/bias_abs_bin_0': 0.14307178556919098, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.06031863018870354, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.005446040071547031, 'redshifts/bias_bin_0': 0.03229905664920807, 'redshifts/bias_bin_1': 0.01333862915635109, 'redshifts/bias_bin_2': 0.0017497100634500384, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.30671510100364685, 'redshifts/mse_bin_0': 0.4356009364128113, 'redshifts/mse_bin_1': 0.35721448063850403, 'redshifts/mse_bin_2': 0.2599453330039978, 'redshifts/mse_bin_3': 0.20297856628894806, 'redshifts/mse_bin_4': 0.24705272912979126, 'redshifts/mse_bin_5': 0.07184623926877975, 'redshifts/nmad': 0.11152717471122742, 'redshifts/nmad_bin_0': 0.20952677726745605, 'redshifts/nmad_bin_1': 0.13971014320850372, 'redshifts/nmad_bin_2': 0.09028954058885574, 'redshifts/nmad_bin_3': 0.06848996132612228, 'redshifts/nmad_bin_4': 0.06464767456054688, 'redshifts/nmad_bin_5': 0.03483957797288895, 'redshifts/outlier_fraction': 0.3250950574874878, 'redshifts/outlier_fraction_bin_0': 0.4872727394104004, 'redshifts/outlier_fraction_bin_1': 0.357015997171402, 'redshifts/outlier_fraction_bin_2': 0.24828532338142395, 'redshifts/outlier_fraction_bin_3': 0.21022726595401764, 'redshifts/outlier_fraction_bin_4': 0.18614718317985535, 'redshifts/outlier_fraction_bin_5': 0.08516886830329895, 'redshifts/outlier_fraction_cata': 0.0889148861169815, 'redshifts/outlier_fraction_cata_bin_0': 0.12565656006336212, 'redshifts/outlier_fraction_cata_bin_1': 0.10479573905467987, 'redshifts/outlier_fraction_cata_bin_2': 0.07681755721569061, 'redshifts/outlier_fraction_cata_bin_3': 0.059659089893102646, 'redshifts/outlier_fraction_cata_bin_4': 0.06493506580591202, 'redshifts/outlier_fraction_cata_bin_5': 0.020558003336191177}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 27%|██▋ | 105/383 [4:44:50<11:38:23, 150.73s/it]" + " 6%|▋ | 100/1563 [09:15<1:56:42, 4.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([20289.])\n", - "{'redshifts/mse': 0.27430376410484314}\n" + "total num of pts: tensor([6912.])\n", + "total num of pts: tensor([2498., 1711., 736., 356., 235., 1376.])\n", + "{'redshifts/bias_abs': 0.07481461763381958, 'redshifts/bias_abs_bin_0': 0.14233054220676422, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023199990391731262, 'redshifts/bias': 0.005446040071547031, 'redshifts/bias_bin_0': 0.03180370852351189, 'redshifts/bias_bin_1': 0.013197129592299461, 'redshifts/bias_bin_2': 0.0017497100634500384, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.30631187558174133, 'redshifts/mse_bin_0': 0.4350880980491638, 'redshifts/mse_bin_1': 0.35868361592292786, 'redshifts/mse_bin_2': 0.258059561252594, 'redshifts/mse_bin_3': 0.20074594020843506, 'redshifts/mse_bin_4': 0.24316123127937317, 'redshifts/mse_bin_5': 0.07131707668304443, 'redshifts/nmad': 0.11112269014120102, 'redshifts/nmad_bin_0': 0.2085137814283371, 'redshifts/nmad_bin_1': 0.13931263983249664, 'redshifts/nmad_bin_2': 0.08993110060691833, 'redshifts/nmad_bin_3': 0.06835943460464478, 'redshifts/nmad_bin_4': 0.06401938199996948, 'redshifts/nmad_bin_5': 0.03478943929076195, 'redshifts/outlier_fraction': 0.32421875, 'redshifts/outlier_fraction_bin_0': 0.48678943514823914, 'redshifts/outlier_fraction_bin_1': 0.35534775257110596, 'redshifts/outlier_fraction_bin_2': 0.24864129722118378, 'redshifts/outlier_fraction_bin_3': 0.2078651636838913, 'redshifts/outlier_fraction_bin_4': 0.18297871947288513, 'redshifts/outlier_fraction_bin_5': 0.08502907305955887, 'redshifts/outlier_fraction_cata': 0.0885416641831398, 'redshifts/outlier_fraction_cata_bin_0': 0.12530024349689484, 'redshifts/outlier_fraction_cata_bin_1': 0.10461718589067459, 'redshifts/outlier_fraction_cata_bin_2': 0.07608695328235626, 'redshifts/outlier_fraction_cata_bin_3': 0.05898876488208771, 'redshifts/outlier_fraction_cata_bin_4': 0.06382978707551956, 'redshifts/outlier_fraction_cata_bin_5': 0.020348837599158287}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 28%|██▊ | 106/383 [4:47:26<11:42:49, 152.24s/it]" + " 6%|▋ | 101/1563 [09:19<1:52:38, 4.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([20512.])\n", - "{'redshifts/mse': 0.27424904704093933}\n" + "total num of pts: tensor([6982.])\n", + "total num of pts: tensor([2524., 1726., 743., 362., 236., 1391.])\n", + "{'redshifts/bias_abs': 0.07473833858966827, 'redshifts/bias_abs_bin_0': 0.14233054220676422, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023155398666858673, 'redshifts/bias': 0.005301460158079863, 'redshifts/bias_bin_0': 0.03170406073331833, 'redshifts/bias_bin_1': 0.012906978838145733, 'redshifts/bias_bin_2': 0.0014048165176063776, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0010626951698213816, 'redshifts/mse': 0.305899977684021, 'redshifts/mse_bin_0': 0.4346604645252228, 'redshifts/mse_bin_1': 0.3568876087665558, 'redshifts/mse_bin_2': 0.25653091073036194, 'redshifts/mse_bin_3': 0.21195754408836365, 'redshifts/mse_bin_4': 0.24224917590618134, 'redshifts/mse_bin_5': 0.07061327993869781, 'redshifts/nmad': 0.11080814152956009, 'redshifts/nmad_bin_0': 0.2085450142621994, 'redshifts/nmad_bin_1': 0.1396714150905609, 'redshifts/nmad_bin_2': 0.08977820724248886, 'redshifts/nmad_bin_3': 0.06875547021627426, 'redshifts/nmad_bin_4': 0.06456417590379715, 'redshifts/nmad_bin_5': 0.034637391567230225, 'redshifts/outlier_fraction': 0.3238327205181122, 'redshifts/outlier_fraction_bin_0': 0.48692551255226135, 'redshifts/outlier_fraction_bin_1': 0.35457706451416016, 'redshifts/outlier_fraction_bin_2': 0.24764467775821686, 'redshifts/outlier_fraction_bin_3': 0.20994475483894348, 'redshifts/outlier_fraction_bin_4': 0.18220339715480804, 'redshifts/outlier_fraction_bin_5': 0.08411215245723724, 'redshifts/outlier_fraction_cata': 0.08822686970233917, 'redshifts/outlier_fraction_cata_bin_0': 0.125198096036911, 'redshifts/outlier_fraction_cata_bin_1': 0.10370799899101257, 'redshifts/outlier_fraction_cata_bin_2': 0.07537011802196503, 'redshifts/outlier_fraction_cata_bin_3': 0.06077348068356514, 'redshifts/outlier_fraction_cata_bin_4': 0.06355932354927063, 'redshifts/outlier_fraction_cata_bin_5': 0.020129403099417686}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 28%|██▊ | 107/383 [4:49:57<11:37:51, 151.71s/it]" + " 7%|▋ | 102/1563 [09:25<2:00:29, 4.95s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([20720.])\n", - "{'redshifts/mse': 0.27474766969680786}\n" + "total num of pts: tensor([7056.])\n", + "total num of pts: tensor([2551., 1745., 753., 367., 239., 1401.])\n", + "{'redshifts/bias_abs': 0.07480993121862411, 'redshifts/bias_abs_bin_0': 0.14233054220676422, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.0230486448854208, 'redshifts/bias': 0.0053303055465221405, 'redshifts/bias_bin_0': 0.03172580897808075, 'redshifts/bias_bin_1': 0.012598775327205658, 'redshifts/bias_bin_2': 0.0018601736519485712, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010440100450068712, 'redshifts/mse': 0.30514657497406006, 'redshifts/mse_bin_0': 0.43258771300315857, 'redshifts/mse_bin_1': 0.3551415503025055, 'redshifts/mse_bin_2': 0.25390955805778503, 'redshifts/mse_bin_3': 0.22218045592308044, 'redshifts/mse_bin_4': 0.2461148500442505, 'redshifts/mse_bin_5': 0.07016970962285995, 'redshifts/nmad': 0.11112803965806961, 'redshifts/nmad_bin_0': 0.2086292803287506, 'redshifts/nmad_bin_1': 0.1393469125032425, 'redshifts/nmad_bin_2': 0.08931892365217209, 'redshifts/nmad_bin_3': 0.06928408890962601, 'redshifts/nmad_bin_4': 0.06464767456054688, 'redshifts/nmad_bin_5': 0.03447619825601578, 'redshifts/outlier_fraction': 0.32397958636283875, 'redshifts/outlier_fraction_bin_0': 0.4864758849143982, 'redshifts/outlier_fraction_bin_1': 0.3541547358036041, 'redshifts/outlier_fraction_bin_2': 0.24833998084068298, 'redshifts/outlier_fraction_bin_3': 0.21253405511379242, 'redshifts/outlier_fraction_bin_4': 0.1882845163345337, 'redshifts/outlier_fraction_bin_5': 0.08351177722215652, 'redshifts/outlier_fraction_cata': 0.08815192431211472, 'redshifts/outlier_fraction_cata_bin_0': 0.12465699762105942, 'redshifts/outlier_fraction_cata_bin_1': 0.10372492671012878, 'redshifts/outlier_fraction_cata_bin_2': 0.07436919212341309, 'redshifts/outlier_fraction_cata_bin_3': 0.06267029792070389, 'redshifts/outlier_fraction_cata_bin_4': 0.06694560497999191, 'redshifts/outlier_fraction_cata_bin_5': 0.019985724240541458}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 28%|██▊ | 108/383 [4:52:32<11:40:10, 152.77s/it]" + " 7%|▋ | 103/1563 [09:29<1:55:15, 4.74s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([20903.])\n", - "{'redshifts/mse': 0.27472421526908875}\n" + "total num of pts: tensor([7126.])\n", + "total num of pts: tensor([2579., 1765., 760., 370., 242., 1410.])\n", + "{'redshifts/bias_abs': 0.07502631098031998, 'redshifts/bias_abs_bin_0': 0.1431611329317093, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.0230486448854208, 'redshifts/bias': 0.0053303055465221405, 'redshifts/bias_bin_0': 0.03172580897808075, 'redshifts/bias_bin_1': 0.012087547220289707, 'redshifts/bias_bin_2': 0.0022150620352476835, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010440100450068712, 'redshifts/mse': 0.30662140250205994, 'redshifts/mse_bin_0': 0.43359729647636414, 'redshifts/mse_bin_1': 0.3559311330318451, 'redshifts/mse_bin_2': 0.25219303369522095, 'redshifts/mse_bin_3': 0.22056783735752106, 'redshifts/mse_bin_4': 0.25827398896217346, 'redshifts/mse_bin_5': 0.07286657392978668, 'redshifts/nmad': 0.11141031235456467, 'redshifts/nmad_bin_0': 0.20884931087493896, 'redshifts/nmad_bin_1': 0.13930028676986694, 'redshifts/nmad_bin_2': 0.08896073698997498, 'redshifts/nmad_bin_3': 0.06875547021627426, 'redshifts/nmad_bin_4': 0.06464767456054688, 'redshifts/nmad_bin_5': 0.03447619825601578, 'redshifts/outlier_fraction': 0.3247263431549072, 'redshifts/outlier_fraction_bin_0': 0.48701047897338867, 'redshifts/outlier_fraction_bin_1': 0.3552407920360565, 'redshifts/outlier_fraction_bin_2': 0.24736842513084412, 'redshifts/outlier_fraction_bin_3': 0.21351350843906403, 'redshifts/outlier_fraction_bin_4': 0.1900826394557953, 'redshifts/outlier_fraction_bin_5': 0.08368794620037079, 'redshifts/outlier_fraction_cata': 0.08840864151716232, 'redshifts/outlier_fraction_cata_bin_0': 0.12485459446907043, 'redshifts/outlier_fraction_cata_bin_1': 0.10368271917104721, 'redshifts/outlier_fraction_cata_bin_2': 0.0736842080950737, 'redshifts/outlier_fraction_cata_bin_3': 0.062162160873413086, 'redshifts/outlier_fraction_cata_bin_4': 0.07024793326854706, 'redshifts/outlier_fraction_cata_bin_5': 0.020567376166582108}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 28%|██▊ | 109/383 [4:55:03<11:35:25, 152.28s/it]" + " 7%|▋ | 104/1563 [09:33<1:47:40, 4.43s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([21114.])\n", - "{'redshifts/mse': 0.27431511878967285}\n" + "total num of pts: tensor([7196.])\n", + "total num of pts: tensor([2604., 1782., 769., 376., 243., 1422.])\n", + "{'redshifts/bias_abs': 0.07499217242002487, 'redshifts/bias_abs_bin_0': 0.14233054220676422, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.022801244631409645, 'redshifts/bias': 0.005265483632683754, 'redshifts/bias_bin_0': 0.03164943307638168, 'redshifts/bias_bin_1': 0.013119771145284176, 'redshifts/bias_bin_2': 0.0017497100634500384, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0010626951698213816, 'redshifts/mse': 0.3055596947669983, 'redshifts/mse_bin_0': 0.43097227811813354, 'redshifts/mse_bin_1': 0.3550635576248169, 'redshifts/mse_bin_2': 0.2553725242614746, 'redshifts/mse_bin_3': 0.21800224483013153, 'redshifts/mse_bin_4': 0.25721144676208496, 'redshifts/mse_bin_5': 0.07242055982351303, 'redshifts/nmad': 0.11143484711647034, 'redshifts/nmad_bin_0': 0.20857448875904083, 'redshifts/nmad_bin_1': 0.1400526762008667, 'redshifts/nmad_bin_2': 0.08948270231485367, 'redshifts/nmad_bin_3': 0.06835943460464478, 'redshifts/nmad_bin_4': 0.06321074068546295, 'redshifts/nmad_bin_5': 0.034330110996961594, 'redshifts/outlier_fraction': 0.3243468701839447, 'redshifts/outlier_fraction_bin_0': 0.4861751198768616, 'redshifts/outlier_fraction_bin_1': 0.35465767979621887, 'redshifts/outlier_fraction_bin_2': 0.24837450683116913, 'redshifts/outlier_fraction_bin_3': 0.21276596188545227, 'redshifts/outlier_fraction_bin_4': 0.18930041790008545, 'redshifts/outlier_fraction_bin_5': 0.08368495106697083, 'redshifts/outlier_fraction_cata': 0.08796553313732147, 'redshifts/outlier_fraction_cata_bin_0': 0.12403994053602219, 'redshifts/outlier_fraction_cata_bin_1': 0.1032547727227211, 'redshifts/outlier_fraction_cata_bin_2': 0.07412223517894745, 'redshifts/outlier_fraction_cata_bin_3': 0.06117021292448044, 'redshifts/outlier_fraction_cata_bin_4': 0.06995885074138641, 'redshifts/outlier_fraction_cata_bin_5': 0.02039381116628647}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 29%|██▊ | 110/383 [4:57:37<11:34:40, 152.67s/it]" + " 7%|▋ | 105/1563 [09:38<1:49:04, 4.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([21315.])\n", - "{'redshifts/mse': 0.27374327182769775}\n" + "total num of pts: tensor([7259.])\n", + "total num of pts: tensor([2621., 1799., 773., 381., 244., 1441.])\n", + "{'redshifts/bias_abs': 0.07481461763381958, 'redshifts/bias_abs_bin_0': 0.1421603560447693, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02283289097249508, 'redshifts/bias': 0.005271166563034058, 'redshifts/bias_bin_0': 0.031421173363924026, 'redshifts/bias_bin_1': 0.01333862915635109, 'redshifts/bias_bin_2': 0.0014048165176063776, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0010626951698213816, 'redshifts/mse': 0.3044966757297516, 'redshifts/mse_bin_0': 0.42972350120544434, 'redshifts/mse_bin_1': 0.3553905785083771, 'redshifts/mse_bin_2': 0.2543001174926758, 'redshifts/mse_bin_3': 0.21555842459201813, 'redshifts/mse_bin_4': 0.25641995668411255, 'redshifts/mse_bin_5': 0.07177098840475082, 'redshifts/nmad': 0.11125518381595612, 'redshifts/nmad_bin_0': 0.2085403949022293, 'redshifts/nmad_bin_1': 0.139923557639122, 'redshifts/nmad_bin_2': 0.08947252482175827, 'redshifts/nmad_bin_3': 0.0680939182639122, 'redshifts/nmad_bin_4': 0.06321074068546295, 'redshifts/nmad_bin_5': 0.03444528579711914, 'redshifts/outlier_fraction': 0.3238738179206848, 'redshifts/outlier_fraction_bin_0': 0.48531094193458557, 'redshifts/outlier_fraction_bin_1': 0.35464146733283997, 'redshifts/outlier_fraction_bin_2': 0.24838292598724365, 'redshifts/outlier_fraction_bin_3': 0.21522310376167297, 'redshifts/outlier_fraction_bin_4': 0.18852458894252777, 'redshifts/outlier_fraction_bin_5': 0.08396946638822556, 'redshifts/outlier_fraction_cata': 0.0873398557305336, 'redshifts/outlier_fraction_cata_bin_0': 0.12323540449142456, 'redshifts/outlier_fraction_cata_bin_1': 0.10283491015434265, 'redshifts/outlier_fraction_cata_bin_2': 0.07373867928981781, 'redshifts/outlier_fraction_cata_bin_3': 0.06036745384335518, 'redshifts/outlier_fraction_cata_bin_4': 0.069672130048275, 'redshifts/outlier_fraction_cata_bin_5': 0.02012491412460804}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 29%|██▉ | 111/383 [5:00:15<11:39:43, 154.35s/it]" + " 7%|▋ | 106/1563 [09:42<1:51:10, 4.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([21496.])\n", - "{'redshifts/mse': 0.27307993173599243}\n" + "total num of pts: tensor([7332.])\n", + "total num of pts: tensor([2641., 1813., 782., 385., 248., 1463.])\n", + "{'redshifts/bias_abs': 0.07472950965166092, 'redshifts/bias_abs_bin_0': 0.14179366827011108, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02283289097249508, 'redshifts/bias': 0.0051039522513747215, 'redshifts/bias_bin_0': 0.03125825896859169, 'redshifts/bias_bin_1': 0.01333862915635109, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.3027568459510803, 'redshifts/mse_bin_0': 0.4283353388309479, 'redshifts/mse_bin_1': 0.35339048504829407, 'redshifts/mse_bin_2': 0.25513142347335815, 'redshifts/mse_bin_3': 0.21352997422218323, 'redshifts/mse_bin_4': 0.2524469196796417, 'redshifts/mse_bin_5': 0.07078352570533752, 'redshifts/nmad': 0.11089466512203217, 'redshifts/nmad_bin_0': 0.2085185945034027, 'redshifts/nmad_bin_1': 0.14031139016151428, 'redshifts/nmad_bin_2': 0.0887841135263443, 'redshifts/nmad_bin_3': 0.0682610273361206, 'redshifts/nmad_bin_4': 0.06289312988519669, 'redshifts/nmad_bin_5': 0.034359049052000046, 'redshifts/outlier_fraction': 0.3229677975177765, 'redshifts/outlier_fraction_bin_0': 0.48504355549812317, 'redshifts/outlier_fraction_bin_1': 0.3541091978549957, 'redshifts/outlier_fraction_bin_2': 0.24936062097549438, 'redshifts/outlier_fraction_bin_3': 0.2129870057106018, 'redshifts/outlier_fraction_bin_4': 0.1854838728904724, 'redshifts/outlier_fraction_bin_5': 0.08339029550552368, 'redshifts/outlier_fraction_cata': 0.0868794322013855, 'redshifts/outlier_fraction_cata_bin_0': 0.12268080562353134, 'redshifts/outlier_fraction_cata_bin_1': 0.10204081982374191, 'redshifts/outlier_fraction_cata_bin_2': 0.07544756680727005, 'redshifts/outlier_fraction_cata_bin_3': 0.05974026024341583, 'redshifts/outlier_fraction_cata_bin_4': 0.06854838877916336, 'redshifts/outlier_fraction_cata_bin_5': 0.01982228271663189}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 29%|██▉ | 112/383 [5:03:31<12:33:19, 166.79s/it]" + " 7%|▋ | 107/1563 [09:48<1:54:28, 4.72s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([21684.])\n", - "{'redshifts/mse': 0.2731064260005951}\n" + "total num of pts: tensor([7409.])\n", + "total num of pts: tensor([2664., 1832., 790., 392., 250., 1481.])\n", + "{'redshifts/bias_abs': 0.07472950965166092, 'redshifts/bias_abs_bin_0': 0.14233054220676422, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023155398666858673, 'redshifts/bias': 0.0051039522513747215, 'redshifts/bias_bin_0': 0.031147446483373642, 'redshifts/bias_bin_1': 0.013311170041561127, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.3038315773010254, 'redshifts/mse_bin_0': 0.4298224449157715, 'redshifts/mse_bin_1': 0.35429632663726807, 'redshifts/mse_bin_2': 0.25661101937294006, 'redshifts/mse_bin_3': 0.21090170741081238, 'redshifts/mse_bin_4': 0.2504313290119171, 'redshifts/mse_bin_5': 0.07357766479253769, 'redshifts/nmad': 0.11089466512203217, 'redshifts/nmad_bin_0': 0.20894621312618256, 'redshifts/nmad_bin_1': 0.13975085318088531, 'redshifts/nmad_bin_2': 0.08908979594707489, 'redshifts/nmad_bin_3': 0.06783318519592285, 'redshifts/nmad_bin_4': 0.06210452690720558, 'redshifts/nmad_bin_5': 0.034548621624708176, 'redshifts/outlier_fraction': 0.3231205344200134, 'redshifts/outlier_fraction_bin_0': 0.4861111044883728, 'redshifts/outlier_fraction_bin_1': 0.3531659245491028, 'redshifts/outlier_fraction_bin_2': 0.2506329119205475, 'redshifts/outlier_fraction_bin_3': 0.21173469722270966, 'redshifts/outlier_fraction_bin_4': 0.18400000035762787, 'redshifts/outlier_fraction_bin_5': 0.0844024270772934, 'redshifts/outlier_fraction_cata': 0.08719125390052795, 'redshifts/outlier_fraction_cata_bin_0': 0.12349849939346313, 'redshifts/outlier_fraction_cata_bin_1': 0.10207423567771912, 'redshifts/outlier_fraction_cata_bin_2': 0.07594936341047287, 'redshifts/outlier_fraction_cata_bin_3': 0.058673471212387085, 'redshifts/outlier_fraction_cata_bin_4': 0.06800000369548798, 'redshifts/outlier_fraction_cata_bin_5': 0.020256582647562027}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 30%|██▉ | 113/383 [5:06:20<12:33:29, 167.44s/it]" + " 7%|▋ | 108/1563 [09:51<1:46:41, 4.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([21870.])\n", - "{'redshifts/mse': 0.27326273918151855}\n" + "total num of pts: tensor([7477.])\n", + "total num of pts: tensor([2686., 1852., 798., 396., 253., 1492.])\n", + "{'redshifts/bias_abs': 0.07449917495250702, 'redshifts/bias_abs_bin_0': 0.14157293736934662, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023155398666858673, 'redshifts/bias': 0.005313615780323744, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.013876155950129032, 'redshifts/bias_bin_2': 0.0013616662472486496, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.30260640382766724, 'redshifts/mse_bin_0': 0.42859745025634766, 'redshifts/mse_bin_1': 0.3516905903816223, 'redshifts/mse_bin_2': 0.25522735714912415, 'redshifts/mse_bin_3': 0.2136780321598053, 'redshifts/mse_bin_4': 0.2478732317686081, 'redshifts/mse_bin_5': 0.07308762520551682, 'redshifts/nmad': 0.11046756058931351, 'redshifts/nmad_bin_0': 0.20880195498466492, 'redshifts/nmad_bin_1': 0.13856106996536255, 'redshifts/nmad_bin_2': 0.0881972387433052, 'redshifts/nmad_bin_3': 0.06783318519592285, 'redshifts/nmad_bin_4': 0.062255859375, 'redshifts/nmad_bin_5': 0.034548621624708176, 'redshifts/outlier_fraction': 0.3223217725753784, 'redshifts/outlier_fraction_bin_0': 0.485107958316803, 'redshifts/outlier_fraction_bin_1': 0.3515118658542633, 'redshifts/outlier_fraction_bin_2': 0.2506265640258789, 'redshifts/outlier_fraction_bin_3': 0.21212121844291687, 'redshifts/outlier_fraction_bin_4': 0.18577075004577637, 'redshifts/outlier_fraction_bin_5': 0.08378016203641891, 'redshifts/outlier_fraction_cata': 0.08693326264619827, 'redshifts/outlier_fraction_cata_bin_0': 0.12360387295484543, 'redshifts/outlier_fraction_cata_bin_1': 0.10097192227840424, 'redshifts/outlier_fraction_cata_bin_2': 0.07518796622753143, 'redshifts/outlier_fraction_cata_bin_3': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_4': 0.06719367951154709, 'redshifts/outlier_fraction_cata_bin_5': 0.020107239484786987}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 30%|██▉ | 114/383 [5:08:59<12:19:59, 165.05s/it]" + " 7%|▋ | 109/1563 [09:56<1:46:07, 4.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([22063.])\n", - "{'redshifts/mse': 0.27285948395729065}\n" + "total num of pts: tensor([7555.])\n", + "total num of pts: tensor([2713., 1870., 804., 403., 258., 1507.])\n", + "{'redshifts/bias_abs': 0.07442748546600342, 'redshifts/bias_abs_bin_0': 0.14100773632526398, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023155398666858673, 'redshifts/bias': 0.0051039522513747215, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.013784065842628479, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0007974568288773298, 'redshifts/mse': 0.30379191040992737, 'redshifts/mse_bin_0': 0.42824825644493103, 'redshifts/mse_bin_1': 0.3549434244632721, 'redshifts/mse_bin_2': 0.25433048605918884, 'redshifts/mse_bin_3': 0.21086657047271729, 'redshifts/mse_bin_4': 0.2740519046783447, 'redshifts/mse_bin_5': 0.07259609550237656, 'redshifts/nmad': 0.11027263104915619, 'redshifts/nmad_bin_0': 0.20729249715805054, 'redshifts/nmad_bin_1': 0.1397530436515808, 'redshifts/nmad_bin_2': 0.08801886439323425, 'redshifts/nmad_bin_3': 0.06769096851348877, 'redshifts/nmad_bin_4': 0.062255859375, 'redshifts/nmad_bin_5': 0.03441167250275612, 'redshifts/outlier_fraction': 0.32190603017807007, 'redshifts/outlier_fraction_bin_0': 0.48249170184135437, 'redshifts/outlier_fraction_bin_1': 0.3534759283065796, 'redshifts/outlier_fraction_bin_2': 0.25, 'redshifts/outlier_fraction_bin_3': 0.2133994996547699, 'redshifts/outlier_fraction_bin_4': 0.1899224817752838, 'redshifts/outlier_fraction_bin_5': 0.08360981941223145, 'redshifts/outlier_fraction_cata': 0.0869622752070427, 'redshifts/outlier_fraction_cata_bin_0': 0.12384814023971558, 'redshifts/outlier_fraction_cata_bin_1': 0.10106951743364334, 'redshifts/outlier_fraction_cata_bin_2': 0.0746268630027771, 'redshifts/outlier_fraction_cata_bin_3': 0.0595533512532711, 'redshifts/outlier_fraction_cata_bin_4': 0.06976744532585144, 'redshifts/outlier_fraction_cata_bin_5': 0.01990710012614727}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 30%|███ | 115/383 [5:11:41<12:13:17, 164.17s/it]" + " 7%|▋ | 110/1563 [10:00<1:50:30, 4.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([22240.])\n", - "{'redshifts/mse': 0.27333468198776245}\n" + "total num of pts: tensor([7621.])\n", + "total num of pts: tensor([2743., 1887., 807., 408., 260., 1516.])\n", + "{'redshifts/bias_abs': 0.074709452688694, 'redshifts/bias_abs_bin_0': 0.14179366827011108, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023199990391731262, 'redshifts/bias': 0.005265483632683754, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.014093687757849693, 'redshifts/bias_bin_2': 0.0013616662472486496, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0007859626784920692, 'redshifts/mse': 0.3048030138015747, 'redshifts/mse_bin_0': 0.43136128783226013, 'redshifts/mse_bin_1': 0.35497239232063293, 'redshifts/mse_bin_2': 0.2533930242061615, 'redshifts/mse_bin_3': 0.20864608883857727, 'redshifts/mse_bin_4': 0.2721237242221832, 'redshifts/mse_bin_5': 0.0722171738743782, 'redshifts/nmad': 0.11067117750644684, 'redshifts/nmad_bin_0': 0.2078099250793457, 'redshifts/nmad_bin_1': 0.141563281416893, 'redshifts/nmad_bin_2': 0.08769549429416656, 'redshifts/nmad_bin_3': 0.06769096851348877, 'redshifts/nmad_bin_4': 0.06225218623876572, 'redshifts/nmad_bin_5': 0.034514959901571274, 'redshifts/outlier_fraction': 0.32318592071533203, 'redshifts/outlier_fraction_bin_0': 0.48523515462875366, 'redshifts/outlier_fraction_bin_1': 0.3545309901237488, 'redshifts/outlier_fraction_bin_2': 0.24907062947750092, 'redshifts/outlier_fraction_bin_3': 0.2132352888584137, 'redshifts/outlier_fraction_bin_4': 0.1884615421295166, 'redshifts/outlier_fraction_bin_5': 0.08311345428228378, 'redshifts/outlier_fraction_cata': 0.0871276706457138, 'redshifts/outlier_fraction_cata_bin_0': 0.1246810033917427, 'redshifts/outlier_fraction_cata_bin_1': 0.10068892687559128, 'redshifts/outlier_fraction_cata_bin_2': 0.07434944063425064, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.06923077255487442, 'redshifts/outlier_fraction_cata_bin_5': 0.019788919016718864}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 30%|███ | 116/383 [5:14:39<12:28:32, 168.21s/it]" + " 7%|▋ | 111/1563 [10:05<1:48:01, 4.46s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([22450.])\n", - "{'redshifts/mse': 0.2741289436817169}\n" + "total num of pts: tensor([7698.])\n", + "total num of pts: tensor([2767., 1905., 810., 417., 260., 1539.])\n", + "{'redshifts/bias_abs': 0.074709452688694, 'redshifts/bias_abs_bin_0': 0.14263629913330078, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.05812655761837959, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023199990391731262, 'redshifts/bias': 0.0051039522513747215, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.013753506354987621, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0007859626784920692, 'redshifts/mse': 0.30554336309432983, 'redshifts/mse_bin_0': 0.43121084570884705, 'redshifts/mse_bin_1': 0.3593205213546753, 'redshifts/mse_bin_2': 0.25248637795448303, 'redshifts/mse_bin_3': 0.2047445923089981, 'redshifts/mse_bin_4': 0.2721237242221832, 'redshifts/mse_bin_5': 0.07392094284296036, 'redshifts/nmad': 0.11079245805740356, 'redshifts/nmad_bin_0': 0.20905780792236328, 'redshifts/nmad_bin_1': 0.14105892181396484, 'redshifts/nmad_bin_2': 0.08637060225009918, 'redshifts/nmad_bin_3': 0.06850768625736237, 'redshifts/nmad_bin_4': 0.06225218623876572, 'redshifts/nmad_bin_5': 0.034514959901571274, 'redshifts/outlier_fraction': 0.32359054684638977, 'redshifts/outlier_fraction_bin_0': 0.48644742369651794, 'redshifts/outlier_fraction_bin_1': 0.3553805649280548, 'redshifts/outlier_fraction_bin_2': 0.2481481432914734, 'redshifts/outlier_fraction_bin_3': 0.21103116869926453, 'redshifts/outlier_fraction_bin_4': 0.1884615421295166, 'redshifts/outlier_fraction_bin_5': 0.08447043597698212, 'redshifts/outlier_fraction_cata': 0.08742530643939972, 'redshifts/outlier_fraction_cata_bin_0': 0.12468377500772476, 'redshifts/outlier_fraction_cata_bin_1': 0.10236220806837082, 'redshifts/outlier_fraction_cata_bin_2': 0.07407407462596893, 'redshifts/outlier_fraction_cata_bin_3': 0.057553958147764206, 'redshifts/outlier_fraction_cata_bin_4': 0.06923077255487442, 'redshifts/outlier_fraction_cata_bin_5': 0.020142950117588043}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 31%|███ | 117/383 [5:17:30<12:29:33, 169.07s/it]" + " 7%|▋ | 112/1563 [10:09<1:46:02, 4.39s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([22644.])\n", - "{'redshifts/mse': 0.2747633755207062}\n" + "total num of pts: tensor([7770.])\n", + "total num of pts: tensor([2796., 1920., 816., 422., 261., 1555.])\n", + "{'redshifts/bias_abs': 0.07466922700405121, 'redshifts/bias_abs_bin_0': 0.14179366827011108, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.05812655761837959, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.0230486448854208, 'redshifts/bias': 0.005265483632683754, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.013784065842628479, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0009175874292850494, 'redshifts/mse': 0.3051227033138275, 'redshifts/mse_bin_0': 0.4305540919303894, 'redshifts/mse_bin_1': 0.35848864912986755, 'redshifts/mse_bin_2': 0.253126323223114, 'redshifts/mse_bin_3': 0.2025866061449051, 'redshifts/mse_bin_4': 0.2745857238769531, 'redshifts/mse_bin_5': 0.0739348754286766, 'redshifts/nmad': 0.11068200320005417, 'redshifts/nmad_bin_0': 0.20880195498466492, 'redshifts/nmad_bin_1': 0.1411905586719513, 'redshifts/nmad_bin_2': 0.08637060225009918, 'redshifts/nmad_bin_3': 0.06770060956478119, 'redshifts/nmad_bin_4': 0.06619042903184891, 'redshifts/nmad_bin_5': 0.03452040255069733, 'redshifts/outlier_fraction': 0.3236808180809021, 'redshifts/outlier_fraction_bin_0': 0.4856938421726227, 'redshifts/outlier_fraction_bin_1': 0.3567708432674408, 'redshifts/outlier_fraction_bin_2': 0.24877451360225677, 'redshifts/outlier_fraction_bin_3': 0.20853079855442047, 'redshifts/outlier_fraction_bin_4': 0.19157087802886963, 'redshifts/outlier_fraction_bin_5': 0.08424437046051025, 'redshifts/outlier_fraction_cata': 0.08712998777627945, 'redshifts/outlier_fraction_cata_bin_0': 0.12374821305274963, 'redshifts/outlier_fraction_cata_bin_1': 0.10208333283662796, 'redshifts/outlier_fraction_cata_bin_2': 0.07475490123033524, 'redshifts/outlier_fraction_cata_bin_3': 0.056872036308050156, 'redshifts/outlier_fraction_cata_bin_4': 0.06896551698446274, 'redshifts/outlier_fraction_cata_bin_5': 0.02057877741754055}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 31%|███ | 118/383 [5:20:48<13:05:31, 177.85s/it]" + " 7%|▋ | 113/1563 [10:13<1:42:33, 4.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([22854.])\n", - "{'redshifts/mse': 0.27510568499565125}\n" + "total num of pts: tensor([7837.])\n", + "total num of pts: tensor([2819., 1935., 820., 428., 262., 1573.])\n", + "{'redshifts/bias_abs': 0.07453634589910507, 'redshifts/bias_abs_bin_0': 0.14179366827011108, 'redshifts/bias_abs_bin_1': 0.09318409860134125, 'redshifts/bias_abs_bin_2': 0.05812655761837959, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023155398666858673, 'redshifts/bias': 0.005265483632683754, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.013876155950129032, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0007974568288773298, 'redshifts/mse': 0.30469879508018494, 'redshifts/mse_bin_0': 0.4308009743690491, 'redshifts/mse_bin_1': 0.3573565185070038, 'redshifts/mse_bin_2': 0.2553066611289978, 'redshifts/mse_bin_3': 0.19998210668563843, 'redshifts/mse_bin_4': 0.27353817224502563, 'redshifts/mse_bin_5': 0.07336527854204178, 'redshifts/nmad': 0.1105484738945961, 'redshifts/nmad_bin_0': 0.2089030146598816, 'redshifts/nmad_bin_1': 0.141484335064888, 'redshifts/nmad_bin_2': 0.08670806884765625, 'redshifts/nmad_bin_3': 0.06899428367614746, 'redshifts/nmad_bin_4': 0.06225218623876572, 'redshifts/nmad_bin_5': 0.03441167250275612, 'redshifts/outlier_fraction': 0.32333800196647644, 'redshifts/outlier_fraction_bin_0': 0.4856331944465637, 'redshifts/outlier_fraction_bin_1': 0.356589138507843, 'redshifts/outlier_fraction_bin_2': 0.25, 'redshifts/outlier_fraction_bin_3': 0.20560747385025024, 'redshifts/outlier_fraction_bin_4': 0.19083969295024872, 'redshifts/outlier_fraction_bin_5': 0.0839160829782486, 'redshifts/outlier_fraction_cata': 0.08676789700984955, 'redshifts/outlier_fraction_cata_bin_0': 0.12344802916049957, 'redshifts/outlier_fraction_cata_bin_1': 0.10129199177026749, 'redshifts/outlier_fraction_cata_bin_2': 0.07560975849628448, 'redshifts/outlier_fraction_cata_bin_3': 0.05607476457953453, 'redshifts/outlier_fraction_cata_bin_4': 0.06870228797197342, 'redshifts/outlier_fraction_cata_bin_5': 0.020343292504549026}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 31%|███ | 119/383 [5:23:20<12:28:30, 170.12s/it]" + " 7%|▋ | 114/1563 [10:16<1:36:26, 3.99s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([23040.])\n", - "{'redshifts/mse': 0.2747151553630829}\n" + "total num of pts: tensor([7900.])\n", + "total num of pts: tensor([2839., 1956., 825., 433., 262., 1585.])\n", + "{'redshifts/bias_abs': 0.07442748546600342, 'redshifts/bias_abs_bin_0': 0.14263629913330078, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.0230486448854208, 'redshifts/bias': 0.00549701601266861, 'redshifts/bias_bin_0': 0.031175432726740837, 'redshifts/bias_bin_1': 0.013864584267139435, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0007859626784920692, 'redshifts/mse': 0.3051615059375763, 'redshifts/mse_bin_0': 0.4331096410751343, 'redshifts/mse_bin_1': 0.3571320176124573, 'redshifts/mse_bin_2': 0.25424614548683167, 'redshifts/mse_bin_3': 0.1980590671300888, 'redshifts/mse_bin_4': 0.27353817224502563, 'redshifts/mse_bin_5': 0.07283903658390045, 'redshifts/nmad': 0.1105182096362114, 'redshifts/nmad_bin_0': 0.20903919637203217, 'redshifts/nmad_bin_1': 0.14109116792678833, 'redshifts/nmad_bin_2': 0.08757281303405762, 'redshifts/nmad_bin_3': 0.06889409571886063, 'redshifts/nmad_bin_4': 0.06225218623876572, 'redshifts/nmad_bin_5': 0.0343753956258297, 'redshifts/outlier_fraction': 0.323670893907547, 'redshifts/outlier_fraction_bin_0': 0.48679113388061523, 'redshifts/outlier_fraction_bin_1': 0.3563394546508789, 'redshifts/outlier_fraction_bin_2': 0.25090909004211426, 'redshifts/outlier_fraction_bin_3': 0.20554272830486298, 'redshifts/outlier_fraction_bin_4': 0.19083969295024872, 'redshifts/outlier_fraction_bin_5': 0.08328075706958771, 'redshifts/outlier_fraction_cata': 0.08708860725164413, 'redshifts/outlier_fraction_cata_bin_0': 0.12398731708526611, 'redshifts/outlier_fraction_cata_bin_1': 0.10224948823451996, 'redshifts/outlier_fraction_cata_bin_2': 0.07515151798725128, 'redshifts/outlier_fraction_cata_bin_3': 0.05542725324630737, 'redshifts/outlier_fraction_cata_bin_4': 0.06870228797197342, 'redshifts/outlier_fraction_cata_bin_5': 0.020189274102449417}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 31%|███▏ | 120/383 [5:25:51<11:59:56, 164.25s/it]" + " 7%|▋ | 115/1563 [10:20<1:37:04, 4.02s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([23219.])\n", - "{'redshifts/mse': 0.2752317786216736}\n" + "total num of pts: tensor([7966.])\n", + "total num of pts: tensor([2872., 1974., 829., 434., 262., 1595.])\n", + "{'redshifts/bias_abs': 0.07472950965166092, 'redshifts/bias_abs_bin_0': 0.14391006529331207, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023199990391731262, 'redshifts/bias': 0.005609569139778614, 'redshifts/bias_bin_0': 0.031421173363924026, 'redshifts/bias_bin_1': 0.014135166071355343, 'redshifts/bias_bin_2': 0.0013616662472486496, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0007859626784920692, 'redshifts/mse': 0.30571532249450684, 'redshifts/mse_bin_0': 0.4340479075908661, 'redshifts/mse_bin_1': 0.3572319447994232, 'redshifts/mse_bin_2': 0.2530902624130249, 'redshifts/mse_bin_3': 0.19774596393108368, 'redshifts/mse_bin_4': 0.27353817224502563, 'redshifts/mse_bin_5': 0.07289589196443558, 'redshifts/nmad': 0.11097301542758942, 'redshifts/nmad_bin_0': 0.20930097997188568, 'redshifts/nmad_bin_1': 0.14048723876476288, 'redshifts/nmad_bin_2': 0.0881972387433052, 'redshifts/nmad_bin_3': 0.06890372931957245, 'redshifts/nmad_bin_4': 0.06225218623876572, 'redshifts/nmad_bin_5': 0.034514959901571274, 'redshifts/outlier_fraction': 0.3251318037509918, 'redshifts/outlier_fraction_bin_0': 0.48850974440574646, 'redshifts/outlier_fraction_bin_1': 0.35663628578186035, 'redshifts/outlier_fraction_bin_2': 0.2496984302997589, 'redshifts/outlier_fraction_bin_3': 0.20506912469863892, 'redshifts/outlier_fraction_bin_4': 0.19083969295024872, 'redshifts/outlier_fraction_bin_5': 0.085893414914608, 'redshifts/outlier_fraction_cata': 0.08749686181545258, 'redshifts/outlier_fraction_cata_bin_0': 0.12465181201696396, 'redshifts/outlier_fraction_cata_bin_1': 0.10283687710762024, 'redshifts/outlier_fraction_cata_bin_2': 0.0747889056801796, 'redshifts/outlier_fraction_cata_bin_3': 0.0552995391190052, 'redshifts/outlier_fraction_cata_bin_4': 0.06870228797197342, 'redshifts/outlier_fraction_cata_bin_5': 0.020062696188688278}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 32%|███▏ | 121/383 [5:28:26<11:44:29, 161.33s/it]" + " 7%|▋ | 116/1563 [10:24<1:37:56, 4.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([23421.])\n", - "{'redshifts/mse': 0.2745645344257355}\n" + "total num of pts: tensor([8047.])\n", + "total num of pts: tensor([2905., 1992., 835., 440., 267., 1608.])\n", + "{'redshifts/bias_abs': 0.07472950965166092, 'redshifts/bias_abs_bin_0': 0.14391006529331207, 'redshifts/bias_abs_bin_1': 0.09318409860134125, 'redshifts/bias_abs_bin_2': 0.05812655761837959, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.0230486448854208, 'redshifts/bias': 0.005511575844138861, 'redshifts/bias_bin_0': 0.031147446483373642, 'redshifts/bias_bin_1': 0.014135166071355343, 'redshifts/bias_bin_2': 0.0013616662472486496, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0007859626784920692, 'redshifts/mse': 0.30457237362861633, 'redshifts/mse_bin_0': 0.43219080567359924, 'redshifts/mse_bin_1': 0.35626721382141113, 'redshifts/mse_bin_2': 0.25133392214775085, 'redshifts/mse_bin_3': 0.1960143893957138, 'redshifts/mse_bin_4': 0.2684633433818817, 'redshifts/mse_bin_5': 0.07332560420036316, 'redshifts/nmad': 0.11102553457021713, 'redshifts/nmad_bin_0': 0.20931871235370636, 'redshifts/nmad_bin_1': 0.14171110093593597, 'redshifts/nmad_bin_2': 0.08631792664527893, 'redshifts/nmad_bin_3': 0.0688495934009552, 'redshifts/nmad_bin_4': 0.062108200043439865, 'redshifts/nmad_bin_5': 0.0343753956258297, 'redshifts/outlier_fraction': 0.3254629075527191, 'redshifts/outlier_fraction_bin_0': 0.48812392354011536, 'redshifts/outlier_fraction_bin_1': 0.3594377636909485, 'redshifts/outlier_fraction_bin_2': 0.2479041963815689, 'redshifts/outlier_fraction_bin_3': 0.20454545319080353, 'redshifts/outlier_fraction_bin_4': 0.18726591765880585, 'redshifts/outlier_fraction_bin_5': 0.08582089841365814, 'redshifts/outlier_fraction_cata': 0.08723747730255127, 'redshifts/outlier_fraction_cata_bin_0': 0.12426850199699402, 'redshifts/outlier_fraction_cata_bin_1': 0.10240963846445084, 'redshifts/outlier_fraction_cata_bin_2': 0.07425149530172348, 'redshifts/outlier_fraction_cata_bin_3': 0.05454545468091965, 'redshifts/outlier_fraction_cata_bin_4': 0.06741572916507721, 'redshifts/outlier_fraction_cata_bin_5': 0.020522387698292732}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 32%|███▏ | 122/383 [5:31:01<11:33:51, 159.51s/it]" + " 7%|▋ | 117/1563 [10:28<1:35:11, 3.95s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([23612.])\n", - "{'redshifts/mse': 0.27451467514038086}\n" + "total num of pts: tensor([8114.])\n", + "total num of pts: tensor([2938., 2004., 843., 445., 269., 1615.])\n", + "{'redshifts/bias_abs': 0.07490146905183792, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09379900246858597, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.022942334413528442, 'redshifts/bias': 0.00549701601266861, 'redshifts/bias_bin_0': 0.03015417791903019, 'redshifts/bias_bin_1': 0.01420730073004961, 'redshifts/bias_bin_2': 0.0013616662472486496, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0007859626784920692, 'redshifts/mse': 0.305074006319046, 'redshifts/mse_bin_0': 0.43312203884124756, 'redshifts/mse_bin_1': 0.3574684262275696, 'redshifts/mse_bin_2': 0.24957361817359924, 'redshifts/mse_bin_3': 0.1941959410905838, 'redshifts/mse_bin_4': 0.2667047679424286, 'redshifts/mse_bin_5': 0.07302984595298767, 'redshifts/nmad': 0.11124064773321152, 'redshifts/nmad_bin_0': 0.21043504774570465, 'redshifts/nmad_bin_1': 0.1420717090368271, 'redshifts/nmad_bin_2': 0.085746169090271, 'redshifts/nmad_bin_3': 0.06890372931957245, 'redshifts/nmad_bin_4': 0.062108200043439865, 'redshifts/nmad_bin_5': 0.03437189757823944, 'redshifts/outlier_fraction': 0.3259797990322113, 'redshifts/outlier_fraction_bin_0': 0.4887678623199463, 'redshifts/outlier_fraction_bin_1': 0.36077845096588135, 'redshifts/outlier_fraction_bin_2': 0.24673783779144287, 'redshifts/outlier_fraction_bin_3': 0.20224718749523163, 'redshifts/outlier_fraction_bin_4': 0.1858736127614975, 'redshifts/outlier_fraction_bin_5': 0.08544891327619553, 'redshifts/outlier_fraction_cata': 0.08713334798812866, 'redshifts/outlier_fraction_cata_bin_0': 0.1242341697216034, 'redshifts/outlier_fraction_cata_bin_1': 0.1022954061627388, 'redshifts/outlier_fraction_cata_bin_2': 0.07354685664176941, 'redshifts/outlier_fraction_cata_bin_3': 0.05393258482217789, 'redshifts/outlier_fraction_cata_bin_4': 0.06691449880599976, 'redshifts/outlier_fraction_cata_bin_5': 0.020433437079191208}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 32%|███▏ | 123/383 [5:33:38<11:27:57, 158.76s/it]" + " 8%|▊ | 118/1563 [10:32<1:35:40, 3.97s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([23799.])\n", - "{'redshifts/mse': 0.2749808728694916}\n" + "total num of pts: tensor([8195.])\n", + "total num of pts: tensor([2961., 2029., 849., 449., 269., 1638.])\n", + "{'redshifts/bias_abs': 0.07490146905183792, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09395525604486465, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.0230486448854208, 'redshifts/bias': 0.005446040071547031, 'redshifts/bias_bin_0': 0.03102152794599533, 'redshifts/bias_bin_1': 0.014093687757849693, 'redshifts/bias_bin_2': 0.0014048165176063776, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0007974568288773298, 'redshifts/mse': 0.3045959174633026, 'redshifts/mse_bin_0': 0.4330291152000427, 'redshifts/mse_bin_1': 0.3567062318325043, 'redshifts/mse_bin_2': 0.2480706125497818, 'redshifts/mse_bin_3': 0.19251948595046997, 'redshifts/mse_bin_4': 0.2667047679424286, 'redshifts/mse_bin_5': 0.07412348687648773, 'redshifts/nmad': 0.11124496161937714, 'redshifts/nmad_bin_0': 0.20988662540912628, 'redshifts/nmad_bin_1': 0.14224015176296234, 'redshifts/nmad_bin_2': 0.08562644571065903, 'redshifts/nmad_bin_3': 0.06859824806451797, 'redshifts/nmad_bin_4': 0.062108200043439865, 'redshifts/nmad_bin_5': 0.03439243510365486, 'redshifts/outlier_fraction': 0.32580840587615967, 'redshifts/outlier_fraction_bin_0': 0.4893617033958435, 'redshifts/outlier_fraction_bin_1': 0.3602759838104248, 'redshifts/outlier_fraction_bin_2': 0.2461719661951065, 'redshifts/outlier_fraction_bin_3': 0.20044542849063873, 'redshifts/outlier_fraction_bin_4': 0.1858736127614975, 'redshifts/outlier_fraction_bin_5': 0.08608058840036392, 'redshifts/outlier_fraction_cata': 0.08724832534790039, 'redshifts/outlier_fraction_cata_bin_0': 0.12495778501033783, 'redshifts/outlier_fraction_cata_bin_1': 0.10202070325613022, 'redshifts/outlier_fraction_cata_bin_2': 0.07302708923816681, 'redshifts/outlier_fraction_cata_bin_3': 0.05345211550593376, 'redshifts/outlier_fraction_cata_bin_4': 0.06691449880599976, 'redshifts/outlier_fraction_cata_bin_5': 0.020757021382451057}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 32%|███▏ | 124/383 [5:36:11<11:18:27, 157.17s/it]" + " 8%|▊ | 119/1563 [10:37<1:39:28, 4.13s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([24009.])\n", - "{'redshifts/mse': 0.2760658860206604}\n" + "total num of pts: tensor([8261.])\n", + "total num of pts: tensor([2986., 2038., 854., 455., 274., 1654.])\n", + "{'redshifts/bias_abs': 0.07468488812446594, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09318409860134125, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.023155398666858673, 'redshifts/bias': 0.005546800326555967, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.014093687757849693, 'redshifts/bias_bin_2': 0.0014048165176063776, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0007974568288773298, 'redshifts/mse': 0.30473747849464417, 'redshifts/mse_bin_0': 0.43281182646751404, 'redshifts/mse_bin_1': 0.355915367603302, 'redshifts/mse_bin_2': 0.24669958651065826, 'redshifts/mse_bin_3': 0.2097509205341339, 'redshifts/mse_bin_4': 0.2619513273239136, 'redshifts/mse_bin_5': 0.07364913821220398, 'redshifts/nmad': 0.11100828647613525, 'redshifts/nmad_bin_0': 0.20987568795681, 'redshifts/nmad_bin_1': 0.141563281416893, 'redshifts/nmad_bin_2': 0.0856223851442337, 'redshifts/nmad_bin_3': 0.06924563646316528, 'redshifts/nmad_bin_4': 0.06128229945898056, 'redshifts/nmad_bin_5': 0.03439243510365486, 'redshifts/outlier_fraction': 0.3249001204967499, 'redshifts/outlier_fraction_bin_0': 0.48794373869895935, 'redshifts/outlier_fraction_bin_1': 0.3596663475036621, 'redshifts/outlier_fraction_bin_2': 0.24473068118095398, 'redshifts/outlier_fraction_bin_3': 0.20219780504703522, 'redshifts/outlier_fraction_bin_4': 0.18248175084590912, 'redshifts/outlier_fraction_bin_5': 0.08645707368850708, 'redshifts/outlier_fraction_cata': 0.08739861845970154, 'redshifts/outlier_fraction_cata_bin_0': 0.1252511739730835, 'redshifts/outlier_fraction_cata_bin_1': 0.10206084698438644, 'redshifts/outlier_fraction_cata_bin_2': 0.07259953022003174, 'redshifts/outlier_fraction_cata_bin_3': 0.05714285746216774, 'redshifts/outlier_fraction_cata_bin_4': 0.0656934306025505, 'redshifts/outlier_fraction_cata_bin_5': 0.02055622823536396}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 33%|███▎ | 125/383 [5:38:58<11:27:44, 159.94s/it]" + " 8%|▊ | 120/1563 [10:44<1:58:36, 4.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([24179.])\n", - "{'redshifts/mse': 0.27623042464256287}\n" + "total num of pts: tensor([8338.])\n", + "total num of pts: tensor([3012., 2056., 862., 460., 276., 1672.])\n", + "{'redshifts/bias_abs': 0.07466590404510498, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.022942334413528442, 'redshifts/bias': 0.005446040071547031, 'redshifts/bias_bin_0': 0.03015417791903019, 'redshifts/bias_bin_1': 0.013876155950129032, 'redshifts/bias_bin_2': 0.001697205938398838, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.3055676519870758, 'redshifts/mse_bin_0': 0.434688001871109, 'redshifts/mse_bin_1': 0.35863977670669556, 'redshifts/mse_bin_2': 0.24455150961875916, 'redshifts/mse_bin_3': 0.20836901664733887, 'redshifts/mse_bin_4': 0.26247426867485046, 'redshifts/mse_bin_5': 0.0730186253786087, 'redshifts/nmad': 0.11085890233516693, 'redshifts/nmad_bin_0': 0.21015548706054688, 'redshifts/nmad_bin_1': 0.14124076068401337, 'redshifts/nmad_bin_2': 0.08518814295530319, 'redshifts/nmad_bin_3': 0.06970498710870743, 'redshifts/nmad_bin_4': 0.061285972595214844, 'redshifts/nmad_bin_5': 0.034539707005023956, 'redshifts/outlier_fraction': 0.3248980641365051, 'redshifts/outlier_fraction_bin_0': 0.4887118339538574, 'redshifts/outlier_fraction_bin_1': 0.3594357967376709, 'redshifts/outlier_fraction_bin_2': 0.24245940148830414, 'redshifts/outlier_fraction_bin_3': 0.20434781908988953, 'redshifts/outlier_fraction_bin_4': 0.18478260934352875, 'redshifts/outlier_fraction_bin_5': 0.08612440526485443, 'redshifts/outlier_fraction_cata': 0.08755096793174744, 'redshifts/outlier_fraction_cata_bin_0': 0.1258300095796585, 'redshifts/outlier_fraction_cata_bin_1': 0.10262645781040192, 'redshifts/outlier_fraction_cata_bin_2': 0.07192575186491013, 'redshifts/outlier_fraction_cata_bin_3': 0.056521739810705185, 'redshifts/outlier_fraction_cata_bin_4': 0.06521739065647125, 'redshifts/outlier_fraction_cata_bin_5': 0.02033492736518383}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 33%|███▎ | 126/383 [5:41:53<11:44:47, 164.54s/it]" + " 8%|▊ | 121/1563 [10:49<2:02:18, 5.09s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([24368.])\n", - "{'redshifts/mse': 0.2757148742675781}\n" + "total num of pts: tensor([8396.])\n", + "total num of pts: tensor([3028., 2074., 867., 461., 279., 1687.])\n", + "{'redshifts/bias_abs': 0.07458403706550598, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09286471456289291, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.044540900737047195, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023199990391731262, 'redshifts/bias': 0.0053303055465221405, 'redshifts/bias_bin_0': 0.030004778876900673, 'redshifts/bias_bin_1': 0.013864584267139435, 'redshifts/bias_bin_2': 0.001386577496305108, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0010626951698213816, 'redshifts/mse': 0.30578434467315674, 'redshifts/mse_bin_0': 0.43538904190063477, 'redshifts/mse_bin_1': 0.35772544145584106, 'redshifts/mse_bin_2': 0.24357441067695618, 'redshifts/mse_bin_3': 0.21067841351032257, 'redshifts/mse_bin_4': 0.2698315680027008, 'redshifts/mse_bin_5': 0.07320909202098846, 'redshifts/nmad': 0.11060822755098343, 'redshifts/nmad_bin_0': 0.20995691418647766, 'redshifts/nmad_bin_1': 0.14115694165229797, 'redshifts/nmad_bin_2': 0.0842660665512085, 'redshifts/nmad_bin_3': 0.06969785690307617, 'redshifts/nmad_bin_4': 0.06191059947013855, 'redshifts/nmad_bin_5': 0.03466407582163811, 'redshifts/outlier_fraction': 0.32491663098335266, 'redshifts/outlier_fraction_bin_0': 0.48844122886657715, 'redshifts/outlier_fraction_bin_1': 0.35969141125679016, 'redshifts/outlier_fraction_bin_2': 0.24221453070640564, 'redshifts/outlier_fraction_bin_3': 0.20607374608516693, 'redshifts/outlier_fraction_bin_4': 0.18637992441654205, 'redshifts/outlier_fraction_bin_5': 0.08654416352510452, 'redshifts/outlier_fraction_cata': 0.08789899945259094, 'redshifts/outlier_fraction_cata_bin_0': 0.12615588307380676, 'redshifts/outlier_fraction_cata_bin_1': 0.10270009934902191, 'redshifts/outlier_fraction_cata_bin_2': 0.07151095569133759, 'redshifts/outlier_fraction_cata_bin_3': 0.058568328619003296, 'redshifts/outlier_fraction_cata_bin_4': 0.06810035556554794, 'redshifts/outlier_fraction_cata_bin_5': 0.02074688859283924}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 33%|███▎ | 127/383 [5:44:31<11:33:58, 162.65s/it]" + " 8%|▊ | 122/1563 [10:53<1:54:55, 4.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([24557.])\n", - "{'redshifts/mse': 0.2755697965621948}\n" + "total num of pts: tensor([8475.])\n", + "total num of pts: tensor([3059., 2087., 876., 464., 284., 1705.])\n", + "{'redshifts/bias_abs': 0.07458403706550598, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09286471456289291, 'redshifts/bias_abs_bin_2': 0.05679091438651085, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.0230486448854208, 'redshifts/bias': 0.005207769572734833, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.014135166071355343, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.0010626951698213816, 'redshifts/mse': 0.3042678236961365, 'redshifts/mse_bin_0': 0.43380245566368103, 'redshifts/mse_bin_1': 0.3565935790538788, 'redshifts/mse_bin_2': 0.24120885133743286, 'redshifts/mse_bin_3': 0.20947854220867157, 'redshifts/mse_bin_4': 0.2653043568134308, 'redshifts/mse_bin_5': 0.0725029706954956, 'redshifts/nmad': 0.11062448471784592, 'redshifts/nmad_bin_0': 0.21058835089206696, 'redshifts/nmad_bin_1': 0.14155811071395874, 'redshifts/nmad_bin_2': 0.084066241979599, 'redshifts/nmad_bin_3': 0.06995633244514465, 'redshifts/nmad_bin_4': 0.06112566962838173, 'redshifts/nmad_bin_5': 0.03456645458936691, 'redshifts/outlier_fraction': 0.3249557614326477, 'redshifts/outlier_fraction_bin_0': 0.48937562108039856, 'redshifts/outlier_fraction_bin_1': 0.35984668135643005, 'redshifts/outlier_fraction_bin_2': 0.2397260218858719, 'redshifts/outlier_fraction_bin_3': 0.2068965584039688, 'redshifts/outlier_fraction_bin_4': 0.18661971390247345, 'redshifts/outlier_fraction_bin_5': 0.0862170085310936, 'redshifts/outlier_fraction_cata': 0.08743362873792648, 'redshifts/outlier_fraction_cata_bin_0': 0.1258581280708313, 'redshifts/outlier_fraction_cata_bin_1': 0.10206037014722824, 'redshifts/outlier_fraction_cata_bin_2': 0.07077625393867493, 'redshifts/outlier_fraction_cata_bin_3': 0.05818965658545494, 'redshifts/outlier_fraction_cata_bin_4': 0.06690140813589096, 'redshifts/outlier_fraction_cata_bin_5': 0.020527860149741173}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 33%|███▎ | 128/383 [5:47:27<11:48:15, 166.65s/it]" + " 8%|▊ | 123/1563 [10:57<1:48:57, 4.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([24738.])\n", - "{'redshifts/mse': 0.2770693898200989}\n" + "total num of pts: tensor([8553.])\n", + "total num of pts: tensor([3096., 2102., 883., 471., 286., 1715.])\n", + "{'redshifts/bias_abs': 0.07465658336877823, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04423505440354347, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.023199990391731262, 'redshifts/bias': 0.005044400691986084, 'redshifts/bias_bin_0': 0.02966480143368244, 'redshifts/bias_bin_1': 0.014135166071355343, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.3030751943588257, 'redshifts/mse_bin_0': 0.43131372332572937, 'redshifts/mse_bin_1': 0.35632461309432983, 'redshifts/mse_bin_2': 0.2395666241645813, 'redshifts/mse_bin_3': 0.20644673705101013, 'redshifts/mse_bin_4': 0.26344919204711914, 'redshifts/mse_bin_5': 0.07215405255556107, 'redshifts/nmad': 0.11083469539880753, 'redshifts/nmad_bin_0': 0.2108810544013977, 'redshifts/nmad_bin_1': 0.14048723876476288, 'redshifts/nmad_bin_2': 0.08486054837703705, 'redshifts/nmad_bin_3': 0.0688495934009552, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.034680504351854324, 'redshifts/outlier_fraction': 0.3247983157634735, 'redshifts/outlier_fraction_bin_0': 0.48966407775878906, 'redshifts/outlier_fraction_bin_1': 0.35823026299476624, 'redshifts/outlier_fraction_bin_2': 0.23782558739185333, 'redshifts/outlier_fraction_bin_3': 0.20382165908813477, 'redshifts/outlier_fraction_bin_4': 0.18531468510627747, 'redshifts/outlier_fraction_bin_5': 0.08746355772018433, 'redshifts/outlier_fraction_cata': 0.08687010407447815, 'redshifts/outlier_fraction_cata_bin_0': 0.12467700242996216, 'redshifts/outlier_fraction_cata_bin_1': 0.10180780291557312, 'redshifts/outlier_fraction_cata_bin_2': 0.07021517306566238, 'redshifts/outlier_fraction_cata_bin_3': 0.0573248416185379, 'redshifts/outlier_fraction_cata_bin_4': 0.06643356382846832, 'redshifts/outlier_fraction_cata_bin_5': 0.020408162847161293}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 34%|███▎ | 129/383 [5:51:16<13:04:45, 185.37s/it]" + " 8%|▊ | 124/1563 [11:01<1:43:14, 4.30s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([24914.])\n", - "{'redshifts/mse': 0.27674034237861633}\n" + "total num of pts: tensor([8625.])\n", + "total num of pts: tensor([3125., 2115., 891., 473., 292., 1729.])\n", + "{'redshifts/bias_abs': 0.07472950965166092, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.0230486448854208, 'redshifts/bias': 0.005024822428822517, 'redshifts/bias_bin_0': 0.02966480143368244, 'redshifts/bias_bin_1': 0.014379010535776615, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.30368730425834656, 'redshifts/mse_bin_0': 0.4296182096004486, 'redshifts/mse_bin_1': 0.3579552471637726, 'redshifts/mse_bin_2': 0.24479815363883972, 'redshifts/mse_bin_3': 0.20559892058372498, 'redshifts/mse_bin_4': 0.27552080154418945, 'redshifts/mse_bin_5': 0.07163608819246292, 'redshifts/nmad': 0.11101198941469193, 'redshifts/nmad_bin_0': 0.2109525203704834, 'redshifts/nmad_bin_1': 0.14185385406017303, 'redshifts/nmad_bin_2': 0.0854353979229927, 'redshifts/nmad_bin_3': 0.0688495934009552, 'redshifts/nmad_bin_4': 0.061285972595214844, 'redshifts/nmad_bin_5': 0.034729279577732086, 'redshifts/outlier_fraction': 0.32510143518447876, 'redshifts/outlier_fraction_bin_0': 0.4896000027656555, 'redshifts/outlier_fraction_bin_1': 0.35886526107788086, 'redshifts/outlier_fraction_bin_2': 0.2379349023103714, 'redshifts/outlier_fraction_bin_3': 0.2029598355293274, 'redshifts/outlier_fraction_bin_4': 0.19178082048892975, 'redshifts/outlier_fraction_bin_5': 0.08733371645212173, 'redshifts/outlier_fraction_cata': 0.08695652335882187, 'redshifts/outlier_fraction_cata_bin_0': 0.12383999675512314, 'redshifts/outlier_fraction_cata_bin_1': 0.10212765634059906, 'redshifts/outlier_fraction_cata_bin_2': 0.0718294084072113, 'redshifts/outlier_fraction_cata_bin_3': 0.05708245187997818, 'redshifts/outlier_fraction_cata_bin_4': 0.0719178095459938, 'redshifts/outlier_fraction_cata_bin_5': 0.02024291455745697}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 34%|███▍ | 130/383 [5:54:46<13:32:31, 192.69s/it]" + " 8%|▊ | 125/1563 [11:04<1:36:51, 4.04s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([25099.])\n", - "{'redshifts/mse': 0.2765654921531677}\n" + "total num of pts: tensor([8685.])\n", + "total num of pts: tensor([3141., 2136., 896., 477., 293., 1742.])\n", + "{'redshifts/bias_abs': 0.07466590404510498, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04423476383090019, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.0230486448854208, 'redshifts/bias': 0.004965005908161402, 'redshifts/bias_bin_0': 0.02966480143368244, 'redshifts/bias_bin_1': 0.01420730073004961, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.3029327094554901, 'redshifts/mse_bin_0': 0.42890051007270813, 'redshifts/mse_bin_1': 0.35731732845306396, 'redshifts/mse_bin_2': 0.2441941648721695, 'redshifts/mse_bin_3': 0.2038835734128952, 'redshifts/mse_bin_4': 0.2745804488658905, 'redshifts/mse_bin_5': 0.07121976464986801, 'redshifts/nmad': 0.11100064218044281, 'redshifts/nmad_bin_0': 0.21114438772201538, 'redshifts/nmad_bin_1': 0.13927334547042847, 'redshifts/nmad_bin_2': 0.08542713522911072, 'redshifts/nmad_bin_3': 0.06696385145187378, 'redshifts/nmad_bin_4': 0.06128229945898056, 'redshifts/nmad_bin_5': 0.03462035581469536, 'redshifts/outlier_fraction': 0.3248128890991211, 'redshifts/outlier_fraction_bin_0': 0.4899713397026062, 'redshifts/outlier_fraction_bin_1': 0.3576779067516327, 'redshifts/outlier_fraction_bin_2': 0.2377232164144516, 'redshifts/outlier_fraction_bin_3': 0.2012578547000885, 'redshifts/outlier_fraction_bin_4': 0.19112628698349, 'redshifts/outlier_fraction_bin_5': 0.0878300815820694, 'redshifts/outlier_fraction_cata': 0.08647092431783676, 'redshifts/outlier_fraction_cata_bin_0': 0.12320917099714279, 'redshifts/outlier_fraction_cata_bin_1': 0.10159175843000412, 'redshifts/outlier_fraction_cata_bin_2': 0.0714285746216774, 'redshifts/outlier_fraction_cata_bin_3': 0.056603774428367615, 'redshifts/outlier_fraction_cata_bin_4': 0.07167235761880875, 'redshifts/outlier_fraction_cata_bin_5': 0.020091848447918892}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 34%|███▍ | 131/383 [5:57:33<12:56:54, 184.98s/it]" + " 8%|▊ | 126/1563 [11:08<1:38:21, 4.11s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([25286.])\n", - "{'redshifts/mse': 0.2764308452606201}\n" + "total num of pts: tensor([8753.])\n", + "total num of pts: tensor([3164., 2149., 902., 482., 296., 1760.])\n", + "{'redshifts/bias_abs': 0.07458403706550598, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.04423505440354347, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.022816698998212814, 'redshifts/bias': 0.004965005908161402, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.014379010535776615, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.3021847903728485, 'redshifts/mse_bin_0': 0.4278680086135864, 'redshifts/mse_bin_1': 0.35612598061561584, 'redshifts/mse_bin_2': 0.2426304817199707, 'redshifts/mse_bin_3': 0.20460264384746552, 'redshifts/mse_bin_4': 0.28390297293663025, 'redshifts/mse_bin_5': 0.07069973647594452, 'redshifts/nmad': 0.11084425449371338, 'redshifts/nmad_bin_0': 0.21151693165302277, 'redshifts/nmad_bin_1': 0.14063510298728943, 'redshifts/nmad_bin_2': 0.08533050864934921, 'redshifts/nmad_bin_3': 0.06858771294355392, 'redshifts/nmad_bin_4': 0.06191059947013855, 'redshifts/nmad_bin_5': 0.03449639305472374, 'redshifts/outlier_fraction': 0.32457444071769714, 'redshifts/outlier_fraction_bin_0': 0.48988622426986694, 'redshifts/outlier_fraction_bin_1': 0.3583061993122101, 'redshifts/outlier_fraction_bin_2': 0.23614190518856049, 'redshifts/outlier_fraction_bin_3': 0.20124481618404388, 'redshifts/outlier_fraction_bin_4': 0.19256757199764252, 'redshifts/outlier_fraction_bin_5': 0.08749999850988388, 'redshifts/outlier_fraction_cata': 0.08614189177751541, 'redshifts/outlier_fraction_cata_bin_0': 0.12262958288192749, 'redshifts/outlier_fraction_cata_bin_1': 0.10097719728946686, 'redshifts/outlier_fraction_cata_bin_2': 0.07095343619585037, 'redshifts/outlier_fraction_cata_bin_3': 0.058091286569833755, 'redshifts/outlier_fraction_cata_bin_4': 0.07432432472705841, 'redshifts/outlier_fraction_cata_bin_5': 0.019886363297700882}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 34%|███▍ | 132/383 [6:00:25<12:37:59, 181.19s/it]" + " 8%|▊ | 127/1563 [11:13<1:40:50, 4.21s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([25461.])\n", - "{'redshifts/mse': 0.27621832489967346}\n" + "total num of pts: tensor([8829.])\n", + "total num of pts: tensor([3198., 2163., 911., 486., 296., 1775.])\n", + "{'redshifts/bias_abs': 0.07468488812446594, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04423476383090019, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.022816698998212814, 'redshifts/bias': 0.005044400691986084, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.014573618769645691, 'redshifts/bias_bin_2': 0.0008387637790292501, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.30294156074523926, 'redshifts/mse_bin_0': 0.42912060022354126, 'redshifts/mse_bin_1': 0.35549870133399963, 'redshifts/mse_bin_2': 0.24805019795894623, 'redshifts/mse_bin_3': 0.202939972281456, 'redshifts/mse_bin_4': 0.28390297293663025, 'redshifts/mse_bin_5': 0.07029057294130325, 'redshifts/nmad': 0.11091455072164536, 'redshifts/nmad_bin_0': 0.21155300736427307, 'redshifts/nmad_bin_1': 0.1409236341714859, 'redshifts/nmad_bin_2': 0.08563929796218872, 'redshifts/nmad_bin_3': 0.06696385145187378, 'redshifts/nmad_bin_4': 0.06191059947013855, 'redshifts/nmad_bin_5': 0.03445321321487427, 'redshifts/outlier_fraction': 0.3252916634082794, 'redshifts/outlier_fraction_bin_0': 0.49093183875083923, 'redshifts/outlier_fraction_bin_1': 0.3587609827518463, 'redshifts/outlier_fraction_bin_2': 0.23710209131240845, 'redshifts/outlier_fraction_bin_3': 0.19958847761154175, 'redshifts/outlier_fraction_bin_4': 0.19256757199764252, 'redshifts/outlier_fraction_bin_5': 0.08788732439279556, 'redshifts/outlier_fraction_cata': 0.08653301745653152, 'redshifts/outlier_fraction_cata_bin_0': 0.12320200353860855, 'redshifts/outlier_fraction_cata_bin_1': 0.10078594833612442, 'redshifts/outlier_fraction_cata_bin_2': 0.07354555279016495, 'redshifts/outlier_fraction_cata_bin_3': 0.05761316791176796, 'redshifts/outlier_fraction_cata_bin_4': 0.07432432472705841, 'redshifts/outlier_fraction_cata_bin_5': 0.019718309864401817}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 35%|███▍ | 133/383 [6:03:28<12:37:22, 181.77s/it]" + " 8%|▊ | 128/1563 [11:17<1:37:03, 4.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([25670.])\n", - "{'redshifts/mse': 0.2762337327003479}\n" + "total num of pts: tensor([8910.])\n", + "total num of pts: tensor([3228., 2182., 921., 489., 297., 1793.])\n", + "{'redshifts/bias_abs': 0.07466590404510498, 'redshifts/bias_abs_bin_0': 0.14573726058006287, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04423476383090019, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.022749675437808037, 'redshifts/bias': 0.0051778643392026424, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.014471970498561859, 'redshifts/bias_bin_2': 0.0013148171128705144, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0007974568288773298, 'redshifts/mse': 0.30377575755119324, 'redshifts/mse_bin_0': 0.42853420972824097, 'redshifts/mse_bin_1': 0.35988083481788635, 'redshifts/mse_bin_2': 0.2459576576948166, 'redshifts/mse_bin_3': 0.20917367935180664, 'redshifts/mse_bin_4': 0.2829585671424866, 'redshifts/mse_bin_5': 0.0698411837220192, 'redshifts/nmad': 0.11076746881008148, 'redshifts/nmad_bin_0': 0.21161727607250214, 'redshifts/nmad_bin_1': 0.1409865915775299, 'redshifts/nmad_bin_2': 0.0862484723329544, 'redshifts/nmad_bin_3': 0.06732885539531708, 'redshifts/nmad_bin_4': 0.06191059947013855, 'redshifts/nmad_bin_5': 0.0341106578707695, 'redshifts/outlier_fraction': 0.32558923959732056, 'redshifts/outlier_fraction_bin_0': 0.49132588505744934, 'redshifts/outlier_fraction_bin_1': 0.35930338501930237, 'redshifts/outlier_fraction_bin_2': 0.23778501152992249, 'redshifts/outlier_fraction_bin_3': 0.20040899515151978, 'redshifts/outlier_fraction_bin_4': 0.19191919267177582, 'redshifts/outlier_fraction_bin_5': 0.08756274729967117, 'redshifts/outlier_fraction_cata': 0.0869809240102768, 'redshifts/outlier_fraction_cata_bin_0': 0.12360595166683197, 'redshifts/outlier_fraction_cata_bin_1': 0.10219981521368027, 'redshifts/outlier_fraction_cata_bin_2': 0.07274701446294785, 'redshifts/outlier_fraction_cata_bin_3': 0.059304703027009964, 'redshifts/outlier_fraction_cata_bin_4': 0.07407407462596893, 'redshifts/outlier_fraction_cata_bin_5': 0.019520357251167297}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 35%|███▍ | 134/383 [6:06:12<12:11:23, 176.24s/it]" + " 8%|▊ | 129/1563 [11:22<1:46:45, 4.47s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([25858.])\n", - "{'redshifts/mse': 0.2766938805580139}\n" + "total num of pts: tensor([8980.])\n", + "total num of pts: tensor([3258., 2199., 930., 493., 298., 1802.])\n", + "{'redshifts/bias_abs': 0.07473833858966827, 'redshifts/bias_abs_bin_0': 0.14590410888195038, 'redshifts/bias_abs_bin_1': 0.09318409860134125, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.022710761055350304, 'redshifts/bias': 0.0051778643392026424, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.01420730073004961, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0007974568288773298, 'redshifts/mse': 0.30482497811317444, 'redshifts/mse_bin_0': 0.42933499813079834, 'redshifts/mse_bin_1': 0.36246469616889954, 'redshifts/mse_bin_2': 0.2450409233570099, 'redshifts/mse_bin_3': 0.2111760377883911, 'redshifts/mse_bin_4': 0.28203555941581726, 'redshifts/mse_bin_5': 0.06961879879236221, 'redshifts/nmad': 0.11115983128547668, 'redshifts/nmad_bin_0': 0.21155382692813873, 'redshifts/nmad_bin_1': 0.14166505634784698, 'redshifts/nmad_bin_2': 0.08579012751579285, 'redshifts/nmad_bin_3': 0.06804250925779343, 'redshifts/nmad_bin_4': 0.06128229945898056, 'redshifts/nmad_bin_5': 0.034086719155311584, 'redshifts/outlier_fraction': 0.32605791091918945, 'redshifts/outlier_fraction_bin_0': 0.49140578508377075, 'redshifts/outlier_fraction_bin_1': 0.36016371846199036, 'redshifts/outlier_fraction_bin_2': 0.23763440549373627, 'redshifts/outlier_fraction_bin_3': 0.20081135630607605, 'redshifts/outlier_fraction_bin_4': 0.19127516448497772, 'redshifts/outlier_fraction_bin_5': 0.08768035471439362, 'redshifts/outlier_fraction_cata': 0.08763919770717621, 'redshifts/outlier_fraction_cata_bin_0': 0.12430939078330994, 'redshifts/outlier_fraction_cata_bin_1': 0.10322874039411545, 'redshifts/outlier_fraction_cata_bin_2': 0.07311827689409256, 'redshifts/outlier_fraction_cata_bin_3': 0.06085192784667015, 'redshifts/outlier_fraction_cata_bin_4': 0.07382550090551376, 'redshifts/outlier_fraction_cata_bin_5': 0.01942286267876625}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 35%|███▌ | 135/383 [6:09:11<12:11:41, 177.02s/it]" + " 8%|▊ | 130/1563 [11:27<1:46:55, 4.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([26046.])\n", - "{'redshifts/mse': 0.27712708711624146}\n" + "total num of pts: tensor([9046.])\n", + "total num of pts: tensor([3279., 2219., 936., 495., 302., 1815.])\n", + "{'redshifts/bias_abs': 0.074709452688694, 'redshifts/bias_abs_bin_0': 0.14633145928382874, 'redshifts/bias_abs_bin_1': 0.09333901852369308, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.022749675437808037, 'redshifts/bias': 0.005259246565401554, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.014379010535776615, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0007859626784920692, 'redshifts/mse': 0.30583059787750244, 'redshifts/mse_bin_0': 0.43096113204956055, 'redshifts/mse_bin_1': 0.3646809458732605, 'redshifts/mse_bin_2': 0.24503687024116516, 'redshifts/mse_bin_3': 0.21218959987163544, 'redshifts/mse_bin_4': 0.27919459342956543, 'redshifts/mse_bin_5': 0.06914183497428894, 'redshifts/nmad': 0.11096802353858948, 'redshifts/nmad_bin_0': 0.21173304319381714, 'redshifts/nmad_bin_1': 0.14191962778568268, 'redshifts/nmad_bin_2': 0.08592454344034195, 'redshifts/nmad_bin_3': 0.0677911639213562, 'redshifts/nmad_bin_4': 0.06128229945898056, 'redshifts/nmad_bin_5': 0.03409361466765404, 'redshifts/outlier_fraction': 0.32633209228515625, 'redshifts/outlier_fraction_bin_0': 0.49191826581954956, 'redshifts/outlier_fraction_bin_1': 0.36097341775894165, 'redshifts/outlier_fraction_bin_2': 0.2371794879436493, 'redshifts/outlier_fraction_bin_3': 0.20202019810676575, 'redshifts/outlier_fraction_bin_4': 0.19205297529697418, 'redshifts/outlier_fraction_bin_5': 0.0870523452758789, 'redshifts/outlier_fraction_cata': 0.08799469470977783, 'redshifts/outlier_fraction_cata_bin_0': 0.12534309923648834, 'redshifts/outlier_fraction_cata_bin_1': 0.10319963842630386, 'redshifts/outlier_fraction_cata_bin_2': 0.07371795177459717, 'redshifts/outlier_fraction_cata_bin_3': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_4': 0.07284767925739288, 'redshifts/outlier_fraction_cata_bin_5': 0.019283747300505638}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 36%|███▌ | 136/383 [6:12:05<12:05:30, 176.24s/it]" + " 8%|▊ | 131/1563 [11:31<1:45:55, 4.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([26238.])\n", - "{'redshifts/mse': 0.2766481935977936}\n" + "total num of pts: tensor([9106.])\n", + "total num of pts: tensor([3301., 2232., 945., 498., 303., 1827.])\n", + "{'redshifts/bias_abs': 0.07466590404510498, 'redshifts/bias_abs_bin_0': 0.14632192254066467, 'redshifts/bias_abs_bin_1': 0.09318409860134125, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04423505440354347, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.022710761055350304, 'redshifts/bias': 0.0051778643392026424, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01420730073004961, 'redshifts/bias_bin_2': 0.0012413515942171216, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0007522428059019148, 'redshifts/mse': 0.30641040205955505, 'redshifts/mse_bin_0': 0.43054628372192383, 'redshifts/mse_bin_1': 0.36666733026504517, 'redshifts/mse_bin_2': 0.24327293038368225, 'redshifts/mse_bin_3': 0.22251959145069122, 'redshifts/mse_bin_4': 0.2782859802246094, 'redshifts/mse_bin_5': 0.0686989426612854, 'redshifts/nmad': 0.1107850894331932, 'redshifts/nmad_bin_0': 0.2116246074438095, 'redshifts/nmad_bin_1': 0.14159928262233734, 'redshifts/nmad_bin_2': 0.08613955229520798, 'redshifts/nmad_bin_3': 0.06696385145187378, 'redshifts/nmad_bin_4': 0.060913100838661194, 'redshifts/nmad_bin_5': 0.034025777131319046, 'redshifts/outlier_fraction': 0.32604876160621643, 'redshifts/outlier_fraction_bin_0': 0.4916691780090332, 'redshifts/outlier_fraction_bin_1': 0.3606630861759186, 'redshifts/outlier_fraction_bin_2': 0.2370370328426361, 'redshifts/outlier_fraction_bin_3': 0.20281124114990234, 'redshifts/outlier_fraction_bin_4': 0.19141913950443268, 'redshifts/outlier_fraction_bin_5': 0.08648057281970978, 'redshifts/outlier_fraction_cata': 0.08796398341655731, 'redshifts/outlier_fraction_cata_bin_0': 0.1251136064529419, 'redshifts/outlier_fraction_cata_bin_1': 0.10349462181329727, 'redshifts/outlier_fraction_cata_bin_2': 0.07301587611436844, 'redshifts/outlier_fraction_cata_bin_3': 0.06224899739027023, 'redshifts/outlier_fraction_cata_bin_4': 0.07260726392269135, 'redshifts/outlier_fraction_cata_bin_5': 0.019157087430357933}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 36%|███▌ | 137/383 [6:14:49<11:47:16, 172.50s/it]" + " 8%|▊ | 132/1563 [11:35<1:40:42, 4.22s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([26439.])\n", - "{'redshifts/mse': 0.27619150280952454}\n" + "total num of pts: tensor([9172.])\n", + "total num of pts: tensor([3328., 2248., 955., 501., 307., 1833.])\n", + "{'redshifts/bias_abs': 0.07468488812446594, 'redshifts/bias_abs_bin_0': 0.14617660641670227, 'redshifts/bias_abs_bin_1': 0.09238064289093018, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.022749675437808037, 'redshifts/bias': 0.005042299162596464, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.014093687757849693, 'redshifts/bias_bin_2': 0.0008387637790292501, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0007522428059019148, 'redshifts/mse': 0.3069838285446167, 'redshifts/mse_bin_0': 0.43155667185783386, 'redshifts/mse_bin_1': 0.3652885854244232, 'redshifts/mse_bin_2': 0.24703851342201233, 'redshifts/mse_bin_3': 0.22141733765602112, 'redshifts/mse_bin_4': 0.27468141913414, 'redshifts/mse_bin_5': 0.06933463364839554, 'redshifts/nmad': 0.11095380783081055, 'redshifts/nmad_bin_0': 0.211562380194664, 'redshifts/nmad_bin_1': 0.14034689962863922, 'redshifts/nmad_bin_2': 0.08692023903131485, 'redshifts/nmad_bin_3': 0.06858771294355392, 'redshifts/nmad_bin_4': 0.05933849513530731, 'redshifts/nmad_bin_5': 0.03404362499713898, 'redshifts/outlier_fraction': 0.3262102007865906, 'redshifts/outlier_fraction_bin_0': 0.4912860691547394, 'redshifts/outlier_fraction_bin_1': 0.35943061113357544, 'redshifts/outlier_fraction_bin_2': 0.23874345421791077, 'redshifts/outlier_fraction_bin_3': 0.20359280705451965, 'redshifts/outlier_fraction_bin_4': 0.18892508745193481, 'redshifts/outlier_fraction_bin_5': 0.08783414959907532, 'redshifts/outlier_fraction_cata': 0.08831225335597992, 'redshifts/outlier_fraction_cata_bin_0': 0.12560096383094788, 'redshifts/outlier_fraction_cata_bin_1': 0.10320284962654114, 'redshifts/outlier_fraction_cata_bin_2': 0.07434555143117905, 'redshifts/outlier_fraction_cata_bin_3': 0.06187624856829643, 'redshifts/outlier_fraction_cata_bin_4': 0.07166124135255814, 'redshifts/outlier_fraction_cata_bin_5': 0.019639935344457626}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 36%|███▌ | 138/383 [6:17:34<11:35:03, 170.22s/it]" + " 9%|▊ | 133/1563 [11:39<1:43:00, 4.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([26625.])\n", - "{'redshifts/mse': 0.276684433221817}\n" + "total num of pts: tensor([9241.])\n", + "total num of pts: tensor([3352., 2270., 962., 501., 309., 1847.])\n", + "{'redshifts/bias_abs': 0.0748266875743866, 'redshifts/bias_abs_bin_0': 0.14639531075954437, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.022801244631409645, 'redshifts/bias': 0.005024822428822517, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.014093687757849693, 'redshifts/bias_bin_2': 0.0008387637790292501, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0007974568288773298, 'redshifts/mse': 0.30690211057662964, 'redshifts/mse_bin_0': 0.4327367842197418, 'redshifts/mse_bin_1': 0.3630179166793823, 'redshifts/mse_bin_2': 0.24811378121376038, 'redshifts/mse_bin_3': 0.22141733765602112, 'redshifts/mse_bin_4': 0.27309274673461914, 'redshifts/mse_bin_5': 0.06903090327978134, 'redshifts/nmad': 0.11121828854084015, 'redshifts/nmad_bin_0': 0.21205797791481018, 'redshifts/nmad_bin_1': 0.14021208882331848, 'redshifts/nmad_bin_2': 0.08742198348045349, 'redshifts/nmad_bin_3': 0.06858771294355392, 'redshifts/nmad_bin_4': 0.05994035303592682, 'redshifts/nmad_bin_5': 0.03427083045244217, 'redshifts/outlier_fraction': 0.32691267132759094, 'redshifts/outlier_fraction_bin_0': 0.49254176020622253, 'redshifts/outlier_fraction_bin_1': 0.3594713509082794, 'redshifts/outlier_fraction_bin_2': 0.24012474715709686, 'redshifts/outlier_fraction_bin_3': 0.20359280705451965, 'redshifts/outlier_fraction_bin_4': 0.1877022683620453, 'redshifts/outlier_fraction_bin_5': 0.08825121819972992, 'redshifts/outlier_fraction_cata': 0.08819391578435898, 'redshifts/outlier_fraction_cata_bin_0': 0.12589499354362488, 'redshifts/outlier_fraction_cata_bin_1': 0.1022026464343071, 'redshifts/outlier_fraction_cata_bin_2': 0.07484407722949982, 'redshifts/outlier_fraction_cata_bin_3': 0.06187624856829643, 'redshifts/outlier_fraction_cata_bin_4': 0.07119741290807724, 'redshifts/outlier_fraction_cata_bin_5': 0.01949106715619564}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 36%|███▋ | 139/383 [6:20:08<11:12:44, 165.43s/it]" + " 9%|▊ | 134/1563 [11:44<1:45:16, 4.42s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([26812.])\n", - "{'redshifts/mse': 0.27686211466789246}\n" + "total num of pts: tensor([9305.])\n", + "total num of pts: tensor([3373., 2290., 969., 505., 314., 1854.])\n", + "{'redshifts/bias_abs': 0.0748266875743866, 'redshifts/bias_abs_bin_0': 0.1465388834476471, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04423505440354347, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02276822365820408, 'redshifts/bias': 0.005042299162596464, 'redshifts/bias_bin_0': 0.029021700844168663, 'redshifts/bias_bin_1': 0.014135166071355343, 'redshifts/bias_bin_2': 0.0008387637790292501, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.004879477433860302, 'redshifts/bias_bin_5': -0.0009175874292850494, 'redshifts/mse': 0.307303249835968, 'redshifts/mse_bin_0': 0.43383845686912537, 'redshifts/mse_bin_1': 0.36330172419548035, 'redshifts/mse_bin_2': 0.24816416203975677, 'redshifts/mse_bin_3': 0.22124122083187103, 'redshifts/mse_bin_4': 0.2689060866832733, 'redshifts/mse_bin_5': 0.0687849149107933, 'redshifts/nmad': 0.11115778982639313, 'redshifts/nmad_bin_0': 0.21247035264968872, 'redshifts/nmad_bin_1': 0.1402854025363922, 'redshifts/nmad_bin_2': 0.08893897384405136, 'redshifts/nmad_bin_3': 0.06707751005887985, 'redshifts/nmad_bin_4': 0.05936003476381302, 'redshifts/nmad_bin_5': 0.034319810569286346, 'redshifts/outlier_fraction': 0.32713595032691956, 'redshifts/outlier_fraction_bin_0': 0.49243995547294617, 'redshifts/outlier_fraction_bin_1': 0.3606986999511719, 'redshifts/outlier_fraction_bin_2': 0.2404540777206421, 'redshifts/outlier_fraction_bin_3': 0.2039603888988495, 'redshifts/outlier_fraction_bin_4': 0.18471337854862213, 'redshifts/outlier_fraction_bin_5': 0.08791801333427429, 'redshifts/outlier_fraction_cata': 0.08812466263771057, 'redshifts/outlier_fraction_cata_bin_0': 0.12570412456989288, 'redshifts/outlier_fraction_cata_bin_1': 0.10262008756399155, 'redshifts/outlier_fraction_cata_bin_2': 0.07430340349674225, 'redshifts/outlier_fraction_cata_bin_3': 0.06138613820075989, 'redshifts/outlier_fraction_cata_bin_4': 0.07006369531154633, 'redshifts/outlier_fraction_cata_bin_5': 0.019417475908994675}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 37%|███▋ | 140/383 [6:23:12<11:32:55, 171.09s/it]" + " 9%|▊ | 135/1563 [11:51<2:02:11, 5.13s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([27017.])\n", - "{'redshifts/mse': 0.2771953046321869}\n" + "total num of pts: tensor([9371.])\n", + "total num of pts: tensor([3391., 2310., 977., 511., 315., 1867.])\n", + "{'redshifts/bias_abs': 0.0748266875743866, 'redshifts/bias_abs_bin_0': 0.1465388834476471, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.02276822365820408, 'redshifts/bias': 0.0048274993896484375, 'redshifts/bias_bin_0': 0.02893446385860443, 'redshifts/bias_bin_1': 0.013864584267139435, 'redshifts/bias_bin_2': 0.000927675049751997, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0010626951698213816, 'redshifts/mse': 0.30758264660835266, 'redshifts/mse_bin_0': 0.4330843687057495, 'redshifts/mse_bin_1': 0.36384057998657227, 'redshifts/mse_bin_2': 0.2527981400489807, 'redshifts/mse_bin_3': 0.22215451300144196, 'redshifts/mse_bin_4': 0.26809874176979065, 'redshifts/mse_bin_5': 0.06874288618564606, 'redshifts/nmad': 0.11128435283899307, 'redshifts/nmad_bin_0': 0.2123616635799408, 'redshifts/nmad_bin_1': 0.14115694165229797, 'redshifts/nmad_bin_2': 0.08755380660295486, 'redshifts/nmad_bin_3': 0.06696385145187378, 'redshifts/nmad_bin_4': 0.06030735373497009, 'redshifts/nmad_bin_5': 0.03431108221411705, 'redshifts/outlier_fraction': 0.3270728886127472, 'redshifts/outlier_fraction_bin_0': 0.4924800992012024, 'redshifts/outlier_fraction_bin_1': 0.36017316579818726, 'redshifts/outlier_fraction_bin_2': 0.24053223431110382, 'redshifts/outlier_fraction_bin_3': 0.2054794579744339, 'redshifts/outlier_fraction_bin_4': 0.18412698805332184, 'redshifts/outlier_fraction_bin_5': 0.08837707340717316, 'redshifts/outlier_fraction_cata': 0.08803756535053253, 'redshifts/outlier_fraction_cata_bin_0': 0.12533175945281982, 'redshifts/outlier_fraction_cata_bin_1': 0.10259740054607391, 'redshifts/outlier_fraction_cata_bin_2': 0.07471852749586105, 'redshifts/outlier_fraction_cata_bin_3': 0.0626223087310791, 'redshifts/outlier_fraction_cata_bin_4': 0.06984127312898636, 'redshifts/outlier_fraction_cata_bin_5': 0.019282270222902298}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 37%|███▋ | 141/383 [6:25:57<11:22:47, 169.29s/it]" + " 9%|▊ | 136/1563 [11:57<2:08:07, 5.39s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([27226.])\n", - "{'redshifts/mse': 0.27676403522491455}\n" + "total num of pts: tensor([9443.])\n", + "total num of pts: tensor([3411., 2334., 982., 518., 319., 1879.])\n", + "{'redshifts/bias_abs': 0.07496089488267899, 'redshifts/bias_abs_bin_0': 0.14633145928382874, 'redshifts/bias_abs_bin_1': 0.09333901852369308, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04423476383090019, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02276822365820408, 'redshifts/bias': 0.004761363845318556, 'redshifts/bias_bin_0': 0.029021700844168663, 'redshifts/bias_bin_1': 0.013462833128869534, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.004193710628896952, 'redshifts/bias_bin_5': -0.0010626951698213816, 'redshifts/mse': 0.3087492883205414, 'redshifts/mse_bin_0': 0.4329443871974945, 'redshifts/mse_bin_1': 0.3688995838165283, 'redshifts/mse_bin_2': 0.2547111511230469, 'redshifts/mse_bin_3': 0.21937313675880432, 'redshifts/mse_bin_4': 0.26475849747657776, 'redshifts/mse_bin_5': 0.06892871111631393, 'redshifts/nmad': 0.11133474856615067, 'redshifts/nmad_bin_0': 0.2122323364019394, 'redshifts/nmad_bin_1': 0.14159978926181793, 'redshifts/nmad_bin_2': 0.08707106113433838, 'redshifts/nmad_bin_3': 0.06538541615009308, 'redshifts/nmad_bin_4': 0.059874843806028366, 'redshifts/nmad_bin_5': 0.03431108221411705, 'redshifts/outlier_fraction': 0.3271206319332123, 'redshifts/outlier_fraction_bin_0': 0.4916446805000305, 'redshifts/outlier_fraction_bin_1': 0.3620394170284271, 'redshifts/outlier_fraction_bin_2': 0.24134419858455658, 'redshifts/outlier_fraction_bin_3': 0.20270270109176636, 'redshifts/outlier_fraction_bin_4': 0.1818181872367859, 'redshifts/outlier_fraction_bin_5': 0.08887705951929092, 'redshifts/outlier_fraction_cata': 0.08842528611421585, 'redshifts/outlier_fraction_cata_bin_0': 0.1254764050245285, 'redshifts/outlier_fraction_cata_bin_1': 0.10411310940980911, 'redshifts/outlier_fraction_cata_bin_2': 0.07535641640424728, 'redshifts/outlier_fraction_cata_bin_3': 0.0617760606110096, 'redshifts/outlier_fraction_cata_bin_4': 0.06896551698446274, 'redshifts/outlier_fraction_cata_bin_5': 0.01915912702679634}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 37%|███▋ | 142/383 [6:28:52<11:25:53, 170.76s/it]" + " 9%|▉ | 137/1563 [12:02<2:05:24, 5.28s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([27444.])\n", - "{'redshifts/mse': 0.27737748622894287}\n" + "total num of pts: tensor([9529.])\n", + "total num of pts: tensor([3441., 2355., 989., 529., 323., 1892.])\n", + "{'redshifts/bias_abs': 0.07505328208208084, 'redshifts/bias_abs_bin_0': 0.1465388834476471, 'redshifts/bias_abs_bin_1': 0.09352179616689682, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.0437295101583004, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02276822365820408, 'redshifts/bias': 0.004781007766723633, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.013311170041561127, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.30791234970092773, 'redshifts/mse_bin_0': 0.4331386387348175, 'redshifts/mse_bin_1': 0.36719465255737305, 'redshifts/mse_bin_2': 0.25364792346954346, 'redshifts/mse_bin_3': 0.21528300642967224, 'redshifts/mse_bin_4': 0.26165103912353516, 'redshifts/mse_bin_5': 0.06853572279214859, 'redshifts/nmad': 0.11158360540866852, 'redshifts/nmad_bin_0': 0.21204034984111786, 'redshifts/nmad_bin_1': 0.14137494564056396, 'redshifts/nmad_bin_2': 0.08908979594707489, 'redshifts/nmad_bin_3': 0.06538541615009308, 'redshifts/nmad_bin_4': 0.059490419924259186, 'redshifts/nmad_bin_5': 0.03429465368390083, 'redshifts/outlier_fraction': 0.32731661200523376, 'redshifts/outlier_fraction_bin_0': 0.49229875206947327, 'redshifts/outlier_fraction_bin_1': 0.362632691860199, 'redshifts/outlier_fraction_bin_2': 0.24266935884952545, 'redshifts/outlier_fraction_bin_3': 0.20037807524204254, 'redshifts/outlier_fraction_bin_4': 0.17956656217575073, 'redshifts/outlier_fraction_bin_5': 0.08826638758182526, 'redshifts/outlier_fraction_cata': 0.08804701268672943, 'redshifts/outlier_fraction_cata_bin_0': 0.125254288315773, 'redshifts/outlier_fraction_cata_bin_1': 0.10360933840274811, 'redshifts/outlier_fraction_cata_bin_2': 0.0748230516910553, 'redshifts/outlier_fraction_cata_bin_3': 0.060491494834423065, 'redshifts/outlier_fraction_cata_bin_4': 0.06811145693063736, 'redshifts/outlier_fraction_cata_bin_5': 0.019027484580874443}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 37%|███▋ | 143/383 [6:31:58<11:41:34, 175.39s/it]" + " 9%|▉ | 138/1563 [12:05<1:52:31, 4.74s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([27612.])\n", - "{'redshifts/mse': 0.27713146805763245}\n" + "total num of pts: tensor([9592.])\n", + "total num of pts: tensor([3467., 2374., 993., 530., 323., 1905.])\n", + "{'redshifts/bias_abs': 0.07508917152881622, 'redshifts/bias_abs_bin_0': 0.1470949500799179, 'redshifts/bias_abs_bin_1': 0.09304025024175644, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.0437295101583004, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.022755078971385956, 'redshifts/bias': 0.004793108440935612, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.013197129592299461, 'redshifts/bias_bin_2': 0.0009404945885762572, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.3090616762638092, 'redshifts/mse_bin_0': 0.4346822202205658, 'redshifts/mse_bin_1': 0.36962732672691345, 'redshifts/mse_bin_2': 0.25351959466934204, 'redshifts/mse_bin_3': 0.21488595008850098, 'redshifts/mse_bin_4': 0.26165103912353516, 'redshifts/mse_bin_5': 0.06815550476312637, 'redshifts/nmad': 0.11171717196702957, 'redshifts/nmad_bin_0': 0.21232052147388458, 'redshifts/nmad_bin_1': 0.1409410834312439, 'redshifts/nmad_bin_2': 0.08908979594707489, 'redshifts/nmad_bin_3': 0.06501504778862, 'redshifts/nmad_bin_4': 0.059490419924259186, 'redshifts/nmad_bin_5': 0.034096259623765945, 'redshifts/outlier_fraction': 0.327877402305603, 'redshifts/outlier_fraction_bin_0': 0.4937986731529236, 'redshifts/outlier_fraction_bin_1': 0.3618365526199341, 'redshifts/outlier_fraction_bin_2': 0.24370594322681427, 'redshifts/outlier_fraction_bin_3': 0.20000000298023224, 'redshifts/outlier_fraction_bin_4': 0.17956656217575073, 'redshifts/outlier_fraction_bin_5': 0.08818897604942322, 'redshifts/outlier_fraction_cata': 0.088407002389431, 'redshifts/outlier_fraction_cata_bin_0': 0.1257571429014206, 'redshifts/outlier_fraction_cata_bin_1': 0.10446503758430481, 'redshifts/outlier_fraction_cata_bin_2': 0.07452165335416794, 'redshifts/outlier_fraction_cata_bin_3': 0.06037735939025879, 'redshifts/outlier_fraction_cata_bin_4': 0.06811145693063736, 'redshifts/outlier_fraction_cata_bin_5': 0.018897637724876404}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 38%|███▊ | 144/383 [6:35:02<11:49:01, 178.00s/it]" + " 9%|▉ | 139/1563 [12:09<1:48:47, 4.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([27838.])\n", - "{'redshifts/mse': 0.27673813700675964}\n" + "total num of pts: tensor([9662.])\n", + "total num of pts: tensor([3495., 2392., 998., 537., 324., 1916.])\n", + "{'redshifts/bias_abs': 0.07507333159446716, 'redshifts/bias_abs_bin_0': 0.1478569209575653, 'redshifts/bias_abs_bin_1': 0.09286471456289291, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04423476383090019, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.022710761055350304, 'redshifts/bias': 0.00470927357673645, 'redshifts/bias_bin_0': 0.0296764113008976, 'redshifts/bias_bin_1': 0.01288911048322916, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.004879477433860302, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.3090958893299103, 'redshifts/mse_bin_0': 0.43532595038414, 'redshifts/mse_bin_1': 0.36898767948150635, 'redshifts/mse_bin_2': 0.2528575658798218, 'redshifts/mse_bin_3': 0.21449020504951477, 'redshifts/mse_bin_4': 0.26093265414237976, 'redshifts/mse_bin_5': 0.0680215060710907, 'redshifts/nmad': 0.11168611794710159, 'redshifts/nmad_bin_0': 0.2143348902463913, 'redshifts/nmad_bin_1': 0.14059001207351685, 'redshifts/nmad_bin_2': 0.088626928627491, 'redshifts/nmad_bin_3': 0.06647801399230957, 'redshifts/nmad_bin_4': 0.05894719809293747, 'redshifts/nmad_bin_5': 0.033964529633522034, 'redshifts/outlier_fraction': 0.328296422958374, 'redshifts/outlier_fraction_bin_0': 0.4947067201137543, 'redshifts/outlier_fraction_bin_1': 0.36204013228416443, 'redshifts/outlier_fraction_bin_2': 0.24348697066307068, 'redshifts/outlier_fraction_bin_3': 0.19925512373447418, 'redshifts/outlier_fraction_bin_4': 0.17901234328746796, 'redshifts/outlier_fraction_bin_5': 0.08820459246635437, 'redshifts/outlier_fraction_cata': 0.08849099278450012, 'redshifts/outlier_fraction_cata_bin_0': 0.1261802613735199, 'redshifts/outlier_fraction_cata_bin_1': 0.10409698635339737, 'redshifts/outlier_fraction_cata_bin_2': 0.07414829730987549, 'redshifts/outlier_fraction_cata_bin_3': 0.06145251542329788, 'redshifts/outlier_fraction_cata_bin_4': 0.06790123134851456, 'redshifts/outlier_fraction_cata_bin_5': 0.018789144232869148}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 38%|███▊ | 145/383 [6:37:46<11:29:52, 173.92s/it]" + " 9%|▉ | 140/1563 [12:14<1:51:04, 4.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([28030.])\n", - "{'redshifts/mse': 0.2775000035762787}\n" + "total num of pts: tensor([9750.])\n", + "total num of pts: tensor([3520., 2409., 1006., 548., 329., 1938.])\n", + "{'redshifts/bias_abs': 0.07490146905183792, 'redshifts/bias_abs_bin_0': 0.1478569209575653, 'redshifts/bias_abs_bin_1': 0.09318409860134125, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04351983219385147, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.022645266726613045, 'redshifts/bias': 0.004781007766723633, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.013060872443020344, 'redshifts/bias_bin_2': 0.000927675049751997, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.3086182475090027, 'redshifts/mse_bin_0': 0.43511590361595154, 'redshifts/mse_bin_1': 0.37029677629470825, 'redshifts/mse_bin_2': 0.25165581703186035, 'redshifts/mse_bin_3': 0.21046367287635803, 'redshifts/mse_bin_4': 0.257122278213501, 'redshifts/mse_bin_5': 0.06825804710388184, 'redshifts/nmad': 0.1114090085029602, 'redshifts/nmad_bin_0': 0.21402770280838013, 'redshifts/nmad_bin_1': 0.14064660668373108, 'redshifts/nmad_bin_2': 0.08705205470323563, 'redshifts/nmad_bin_3': 0.06533333659172058, 'redshifts/nmad_bin_4': 0.05994424223899841, 'redshifts/nmad_bin_5': 0.033703774213790894, 'redshifts/outlier_fraction': 0.3277948796749115, 'redshifts/outlier_fraction_bin_0': 0.4948863685131073, 'redshifts/outlier_fraction_bin_1': 0.36197593808174133, 'redshifts/outlier_fraction_bin_2': 0.2425447255373001, 'redshifts/outlier_fraction_bin_3': 0.19708029925823212, 'redshifts/outlier_fraction_bin_4': 0.1762917935848236, 'redshifts/outlier_fraction_bin_5': 0.08875128626823425, 'redshifts/outlier_fraction_cata': 0.08841025829315186, 'redshifts/outlier_fraction_cata_bin_0': 0.12642045319080353, 'redshifts/outlier_fraction_cata_bin_1': 0.10419261455535889, 'redshifts/outlier_fraction_cata_bin_2': 0.07355865091085434, 'redshifts/outlier_fraction_cata_bin_3': 0.06021897867321968, 'redshifts/outlier_fraction_cata_bin_4': 0.06686930358409882, 'redshifts/outlier_fraction_cata_bin_5': 0.01909184642136097}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 38%|███▊ | 146/383 [6:40:40<11:26:36, 173.83s/it]" + " 9%|▉ | 141/1563 [12:19<1:50:17, 4.65s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([28209.])\n", - "{'redshifts/mse': 0.2771627902984619}\n" + "total num of pts: tensor([9806.])\n", + "total num of pts: tensor([3538., 2422., 1013., 549., 331., 1953.])\n", + "{'redshifts/bias_abs': 0.07472950965166092, 'redshifts/bias_abs_bin_0': 0.14776936173439026, 'redshifts/bias_abs_bin_1': 0.09318409860134125, 'redshifts/bias_abs_bin_2': 0.05812655761837959, 'redshifts/bias_abs_bin_3': 0.0437295101583004, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.022645266726613045, 'redshifts/bias': 0.004884215537458658, 'redshifts/bias_bin_0': 0.02966480143368244, 'redshifts/bias_bin_1': 0.013119771145284176, 'redshifts/bias_bin_2': 0.000927675049751997, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.30848613381385803, 'redshifts/mse_bin_0': 0.4349163770675659, 'redshifts/mse_bin_1': 0.37190380692481995, 'redshifts/mse_bin_2': 0.24994467198848724, 'redshifts/mse_bin_3': 0.21015074849128723, 'redshifts/mse_bin_4': 0.25572139024734497, 'redshifts/mse_bin_5': 0.06775330007076263, 'redshifts/nmad': 0.11110419034957886, 'redshifts/nmad_bin_0': 0.21374396979808807, 'redshifts/nmad_bin_1': 0.1403629183769226, 'redshifts/nmad_bin_2': 0.08633385598659515, 'redshifts/nmad_bin_3': 0.0655846819281578, 'redshifts/nmad_bin_4': 0.06030735373497009, 'redshifts/nmad_bin_5': 0.03366059437394142, 'redshifts/outlier_fraction': 0.32704466581344604, 'redshifts/outlier_fraction_bin_0': 0.49462974071502686, 'redshifts/outlier_fraction_bin_1': 0.3612716794013977, 'redshifts/outlier_fraction_bin_2': 0.2408687025308609, 'redshifts/outlier_fraction_bin_3': 0.19672131538391113, 'redshifts/outlier_fraction_bin_4': 0.1752265840768814, 'redshifts/outlier_fraction_bin_5': 0.08806964010000229, 'redshifts/outlier_fraction_cata': 0.0883132740855217, 'redshifts/outlier_fraction_cata_bin_0': 0.1263425648212433, 'redshifts/outlier_fraction_cata_bin_1': 0.10445912182331085, 'redshifts/outlier_fraction_cata_bin_2': 0.07305034250020981, 'redshifts/outlier_fraction_cata_bin_3': 0.06010929122567177, 'redshifts/outlier_fraction_cata_bin_4': 0.06646525859832764, 'redshifts/outlier_fraction_cata_bin_5': 0.01894521340727806}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 38%|███▊ | 147/383 [6:43:28<11:17:12, 172.17s/it]" + " 9%|▉ | 142/1563 [12:22<1:41:08, 4.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([28403.])\n", - "{'redshifts/mse': 0.27675527334213257}\n" + "total num of pts: tensor([9871.])\n", + "total num of pts: tensor([3554., 2448., 1022., 550., 334., 1963.])\n", + "{'redshifts/bias_abs': 0.07471206039190292, 'redshifts/bias_abs_bin_0': 0.14776936173439026, 'redshifts/bias_abs_bin_1': 0.09286471456289291, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.0437295101583004, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.022749675437808037, 'redshifts/bias': 0.004930317401885986, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.013311170041561127, 'redshifts/bias_bin_2': 0.0008387637790292501, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.3086072504520416, 'redshifts/mse_bin_0': 0.43519651889801025, 'redshifts/mse_bin_1': 0.37151533365249634, 'redshifts/mse_bin_2': 0.24961750209331512, 'redshifts/mse_bin_3': 0.2111593633890152, 'redshifts/mse_bin_4': 0.25401192903518677, 'redshifts/mse_bin_5': 0.06827320158481598, 'redshifts/nmad': 0.11103583872318268, 'redshifts/nmad_bin_0': 0.21402770280838013, 'redshifts/nmad_bin_1': 0.1402706652879715, 'redshifts/nmad_bin_2': 0.08592861890792847, 'redshifts/nmad_bin_3': 0.0655846819281578, 'redshifts/nmad_bin_4': 0.06030735373497009, 'redshifts/nmad_bin_5': 0.034045178443193436, 'redshifts/outlier_fraction': 0.32691723108291626, 'redshifts/outlier_fraction_bin_0': 0.4946539103984833, 'redshifts/outlier_fraction_bin_1': 0.3602941036224365, 'redshifts/outlier_fraction_bin_2': 0.2407045066356659, 'redshifts/outlier_fraction_bin_3': 0.19818182289600372, 'redshifts/outlier_fraction_bin_4': 0.17365269362926483, 'redshifts/outlier_fraction_bin_5': 0.08863984048366547, 'redshifts/outlier_fraction_cata': 0.08864349871873856, 'redshifts/outlier_fraction_cata_bin_0': 0.126617893576622, 'redshifts/outlier_fraction_cata_bin_1': 0.10498365759849548, 'redshifts/outlier_fraction_cata_bin_2': 0.07338552176952362, 'redshifts/outlier_fraction_cata_bin_3': 0.05999999865889549, 'redshifts/outlier_fraction_cata_bin_4': 0.06586826592683792, 'redshifts/outlier_fraction_cata_bin_5': 0.01935812458395958}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 39%|███▊ | 148/383 [6:46:34<11:29:57, 176.16s/it]" + " 9%|▉ | 143/1563 [12:28<1:49:11, 4.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([28572.])\n", - "{'redshifts/mse': 0.2766258716583252}\n" + "total num of pts: tensor([9929.])\n", + "total num of pts: tensor([3576., 2460., 1026., 552., 336., 1979.])\n", + "{'redshifts/bias_abs': 0.07465658336877823, 'redshifts/bias_abs_bin_0': 0.1472397893667221, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04423476383090019, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02268901839852333, 'redshifts/bias': 0.004761363845318556, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.013119771145284176, 'redshifts/bias_bin_2': 0.000927675049751997, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.004879477433860302, 'redshifts/bias_bin_5': -0.0009175874292850494, 'redshifts/mse': 0.3078301250934601, 'redshifts/mse_bin_0': 0.4340515732765198, 'redshifts/mse_bin_1': 0.36995452642440796, 'redshifts/mse_bin_2': 0.2517104744911194, 'redshifts/mse_bin_3': 0.21107539534568787, 'redshifts/mse_bin_4': 0.2525028884410858, 'redshifts/mse_bin_5': 0.06800489127635956, 'redshifts/nmad': 0.11102311313152313, 'redshifts/nmad_bin_0': 0.21388643980026245, 'redshifts/nmad_bin_1': 0.1394273340702057, 'redshifts/nmad_bin_2': 0.08606044203042984, 'redshifts/nmad_bin_3': 0.06607674807310104, 'redshifts/nmad_bin_4': 0.05936003476381302, 'redshifts/nmad_bin_5': 0.03368515148758888, 'redshifts/outlier_fraction': 0.3265182673931122, 'redshifts/outlier_fraction_bin_0': 0.49440714716911316, 'redshifts/outlier_fraction_bin_1': 0.3593495786190033, 'redshifts/outlier_fraction_bin_2': 0.24074074625968933, 'redshifts/outlier_fraction_bin_3': 0.19927535951137543, 'redshifts/outlier_fraction_bin_4': 0.1726190447807312, 'redshifts/outlier_fraction_bin_5': 0.08842849731445312, 'redshifts/outlier_fraction_cata': 0.08842783421278, 'redshifts/outlier_fraction_cata_bin_0': 0.1263982057571411, 'redshifts/outlier_fraction_cata_bin_1': 0.10447154194116592, 'redshifts/outlier_fraction_cata_bin_2': 0.07407407462596893, 'redshifts/outlier_fraction_cata_bin_3': 0.05978260934352875, 'redshifts/outlier_fraction_cata_bin_4': 0.065476194024086, 'redshifts/outlier_fraction_cata_bin_5': 0.019201617687940598}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 39%|███▉ | 149/383 [6:49:37<11:35:33, 178.35s/it]" + " 9%|▉ | 144/1563 [12:32<1:44:58, 4.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([28780.])\n", - "{'redshifts/mse': 0.2762463390827179}\n" + "total num of pts: tensor([9981.])\n", + "total num of pts: tensor([3597., 2476., 1027., 555., 338., 1988.])\n", + "{'redshifts/bias_abs': 0.0745978131890297, 'redshifts/bias_abs_bin_0': 0.1472397893667221, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02262585610151291, 'redshifts/bias': 0.00470927357673645, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.013060872443020344, 'redshifts/bias_bin_2': 0.000927675049751997, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0010440100450068712, 'redshifts/mse': 0.30798229575157166, 'redshifts/mse_bin_0': 0.43519580364227295, 'redshifts/mse_bin_1': 0.36905601620674133, 'redshifts/mse_bin_2': 0.25149333477020264, 'redshifts/mse_bin_3': 0.2107919454574585, 'redshifts/mse_bin_4': 0.25103330612182617, 'redshifts/mse_bin_5': 0.06774109601974487, 'redshifts/nmad': 0.11102275550365448, 'redshifts/nmad_bin_0': 0.2139192670583725, 'redshifts/nmad_bin_1': 0.13901932537555695, 'redshifts/nmad_bin_2': 0.08606044203042984, 'redshifts/nmad_bin_3': 0.06770060956478119, 'redshifts/nmad_bin_4': 0.06030735373497009, 'redshifts/nmad_bin_5': 0.03359320014715195, 'redshifts/outlier_fraction': 0.32662057876586914, 'redshifts/outlier_fraction_bin_0': 0.49430081248283386, 'redshifts/outlier_fraction_bin_1': 0.35945072770118713, 'redshifts/outlier_fraction_bin_2': 0.2405063360929489, 'redshifts/outlier_fraction_bin_3': 0.20000000298023224, 'redshifts/outlier_fraction_bin_4': 0.17159762978553772, 'redshifts/outlier_fraction_bin_5': 0.08853118866682053, 'redshifts/outlier_fraction_cata': 0.08846808969974518, 'redshifts/outlier_fraction_cata_bin_0': 0.12677231431007385, 'redshifts/outlier_fraction_cata_bin_1': 0.1042003259062767, 'redshifts/outlier_fraction_cata_bin_2': 0.07400194555521011, 'redshifts/outlier_fraction_cata_bin_3': 0.05945945903658867, 'redshifts/outlier_fraction_cata_bin_4': 0.06508875638246536, 'redshifts/outlier_fraction_cata_bin_5': 0.01911468803882599}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 39%|███▉ | 150/383 [6:52:29<11:25:13, 176.45s/it]" + " 9%|▉ | 145/1563 [12:35<1:38:38, 4.17s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([28987.])\n", - "{'redshifts/mse': 0.27630263566970825}\n" + "total num of pts: tensor([10034.])\n", + "total num of pts: tensor([3616., 2490., 1031., 560., 342., 1995.])\n", + "{'redshifts/bias_abs': 0.07466590404510498, 'redshifts/bias_abs_bin_0': 0.14685580134391785, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.022638672962784767, 'redshifts/bias': 0.004585772752761841, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.013060872443020344, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0009175874292850494, 'redshifts/mse': 0.30930888652801514, 'redshifts/mse_bin_0': 0.43487226963043213, 'redshifts/mse_bin_1': 0.3676755428314209, 'redshifts/mse_bin_2': 0.25063398480415344, 'redshifts/mse_bin_3': 0.2245931774377823, 'redshifts/mse_bin_4': 0.28188464045524597, 'redshifts/mse_bin_5': 0.06767778098583221, 'redshifts/nmad': 0.11095532029867172, 'redshifts/nmad_bin_0': 0.21371719241142273, 'redshifts/nmad_bin_1': 0.1386808454990387, 'redshifts/nmad_bin_2': 0.08641868084669113, 'redshifts/nmad_bin_3': 0.06833646446466446, 'redshifts/nmad_bin_4': 0.06030735373497009, 'redshifts/nmad_bin_5': 0.0336465984582901, 'redshifts/outlier_fraction': 0.3264899253845215, 'redshifts/outlier_fraction_bin_0': 0.49363937973976135, 'redshifts/outlier_fraction_bin_1': 0.3586345314979553, 'redshifts/outlier_fraction_bin_2': 0.23957322537899017, 'redshifts/outlier_fraction_bin_3': 0.20178571343421936, 'redshifts/outlier_fraction_bin_4': 0.17251461744308472, 'redshifts/outlier_fraction_bin_5': 0.08972430974245071, 'redshifts/outlier_fraction_cata': 0.08859876543283463, 'redshifts/outlier_fraction_cata_bin_0': 0.12693583965301514, 'redshifts/outlier_fraction_cata_bin_1': 0.10401606559753418, 'redshifts/outlier_fraction_cata_bin_2': 0.07371483743190765, 'redshifts/outlier_fraction_cata_bin_3': 0.06071428582072258, 'redshifts/outlier_fraction_cata_bin_4': 0.06725145876407623, 'redshifts/outlier_fraction_cata_bin_5': 0.01904761977493763}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 39%|███▉ | 151/383 [6:55:10<11:03:47, 171.67s/it]" + " 9%|▉ | 146/1563 [12:38<1:30:38, 3.84s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([29165.])\n", - "{'redshifts/mse': 0.2762867212295532}\n" + "total num of pts: tensor([10104.])\n", + "total num of pts: tensor([3648., 2508., 1035., 564., 342., 2007.])\n", + "{'redshifts/bias_abs': 0.07471206039190292, 'redshifts/bias_abs_bin_0': 0.14700838923454285, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.05812655761837959, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.02262585610151291, 'redshifts/bias': 0.00468229316174984, 'redshifts/bias_bin_0': 0.02893446385860443, 'redshifts/bias_bin_1': 0.013462833128869534, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.308973103761673, 'redshifts/mse_bin_0': 0.4347517192363739, 'redshifts/mse_bin_1': 0.3667554259300232, 'redshifts/mse_bin_2': 0.24989663064479828, 'redshifts/mse_bin_3': 0.22310657799243927, 'redshifts/mse_bin_4': 0.28188464045524597, 'redshifts/mse_bin_5': 0.06735941022634506, 'redshifts/nmad': 0.11121151596307755, 'redshifts/nmad_bin_0': 0.21464213728904724, 'redshifts/nmad_bin_1': 0.1389187127351761, 'redshifts/nmad_bin_2': 0.0864720419049263, 'redshifts/nmad_bin_3': 0.0677911639213562, 'redshifts/nmad_bin_4': 0.06030735373497009, 'redshifts/nmad_bin_5': 0.03359224647283554, 'redshifts/outlier_fraction': 0.3267022967338562, 'redshifts/outlier_fraction_bin_0': 0.49396929144859314, 'redshifts/outlier_fraction_bin_1': 0.3584529459476471, 'redshifts/outlier_fraction_bin_2': 0.23961353302001953, 'redshifts/outlier_fraction_bin_3': 0.20035460591316223, 'redshifts/outlier_fraction_bin_4': 0.17251461744308472, 'redshifts/outlier_fraction_bin_5': 0.08968609571456909, 'redshifts/outlier_fraction_cata': 0.0883808359503746, 'redshifts/outlier_fraction_cata_bin_0': 0.1263706088066101, 'redshifts/outlier_fraction_cata_bin_1': 0.10406698286533356, 'redshifts/outlier_fraction_cata_bin_2': 0.07342994958162308, 'redshifts/outlier_fraction_cata_bin_3': 0.060283686965703964, 'redshifts/outlier_fraction_cata_bin_4': 0.06725145876407623, 'redshifts/outlier_fraction_cata_bin_5': 0.0189337320625782}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 40%|███▉ | 152/383 [6:58:02<11:01:17, 171.76s/it]" + " 9%|▉ | 147/1563 [12:42<1:27:20, 3.70s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([29355.])\n", - "{'redshifts/mse': 0.2764818072319031}\n" + "total num of pts: tensor([10154.])\n", + "total num of pts: tensor([3662., 2527., 1040., 567., 342., 2016.])\n", + "{'redshifts/bias_abs': 0.07471206039190292, 'redshifts/bias_abs_bin_0': 0.14671963453292847, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.05812655761837959, 'redshifts/bias_abs_bin_3': 0.04445720836520195, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.02262585610151291, 'redshifts/bias': 0.00470927357673645, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.013864584267139435, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.30826982855796814, 'redshifts/mse_bin_0': 0.4336003363132477, 'redshifts/mse_bin_1': 0.3663085401058197, 'redshifts/mse_bin_2': 0.24922098219394684, 'redshifts/mse_bin_3': 0.2219662368297577, 'redshifts/mse_bin_4': 0.28188464045524597, 'redshifts/mse_bin_5': 0.06707274168729782, 'redshifts/nmad': 0.11117370426654816, 'redshifts/nmad_bin_0': 0.2135932892560959, 'redshifts/nmad_bin_1': 0.13914376497268677, 'redshifts/nmad_bin_2': 0.08667784184217453, 'redshifts/nmad_bin_3': 0.06770060956478119, 'redshifts/nmad_bin_4': 0.06030735373497009, 'redshifts/nmad_bin_5': 0.033552806824445724, 'redshifts/outlier_fraction': 0.3263738453388214, 'redshifts/outlier_fraction_bin_0': 0.49317312240600586, 'redshifts/outlier_fraction_bin_1': 0.35892361402511597, 'redshifts/outlier_fraction_bin_2': 0.23942308127880096, 'redshifts/outlier_fraction_bin_3': 0.1992945373058319, 'redshifts/outlier_fraction_bin_4': 0.17251461744308472, 'redshifts/outlier_fraction_bin_5': 0.0892857164144516, 'redshifts/outlier_fraction_cata': 0.08804412186145782, 'redshifts/outlier_fraction_cata_bin_0': 0.12588749825954437, 'redshifts/outlier_fraction_cata_bin_1': 0.10368025302886963, 'redshifts/outlier_fraction_cata_bin_2': 0.07307692617177963, 'redshifts/outlier_fraction_cata_bin_3': 0.059964727610349655, 'redshifts/outlier_fraction_cata_bin_4': 0.06725145876407623, 'redshifts/outlier_fraction_cata_bin_5': 0.01884920708835125}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 40%|███▉ | 153/383 [7:00:45<10:48:31, 169.18s/it]" + " 9%|▉ | 148/1563 [12:45<1:24:10, 3.57s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([29565.])\n", - "{'redshifts/mse': 0.27749279141426086}\n" + "total num of pts: tensor([10222.])\n", + "total num of pts: tensor([3691., 2543., 1042., 572., 345., 2029.])\n", + "{'redshifts/bias_abs': 0.07474711537361145, 'redshifts/bias_abs_bin_0': 0.14671963453292847, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.02262585610151291, 'redshifts/bias': 0.00470927357673645, 'redshifts/bias_bin_0': 0.028852520510554314, 'redshifts/bias_bin_1': 0.013753506354987621, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.004485434852540493, 'redshifts/bias_bin_5': -0.0009175874292850494, 'redshifts/mse': 0.30943563580513, 'redshifts/mse_bin_0': 0.43411755561828613, 'redshifts/mse_bin_1': 0.36923158168792725, 'redshifts/mse_bin_2': 0.24874283373355865, 'redshifts/mse_bin_3': 0.22090871632099152, 'redshifts/mse_bin_4': 0.29124951362609863, 'redshifts/mse_bin_5': 0.06689885258674622, 'redshifts/nmad': 0.11130265891551971, 'redshifts/nmad_bin_0': 0.21329201757907867, 'redshifts/nmad_bin_1': 0.13930845260620117, 'redshifts/nmad_bin_2': 0.08641868084669113, 'redshifts/nmad_bin_3': 0.06888166815042496, 'redshifts/nmad_bin_4': 0.06030735373497009, 'redshifts/nmad_bin_5': 0.0336465984582901, 'redshifts/outlier_fraction': 0.32655057311058044, 'redshifts/outlier_fraction_bin_0': 0.49309131503105164, 'redshifts/outlier_fraction_bin_1': 0.35941800475120544, 'redshifts/outlier_fraction_bin_2': 0.2389635294675827, 'redshifts/outlier_fraction_bin_3': 0.19930070638656616, 'redshifts/outlier_fraction_bin_4': 0.17391304671764374, 'redshifts/outlier_fraction_bin_5': 0.0892065092921257, 'redshifts/outlier_fraction_cata': 0.08853453397750854, 'redshifts/outlier_fraction_cata_bin_0': 0.1265239715576172, 'redshifts/outlier_fraction_cata_bin_1': 0.10460086166858673, 'redshifts/outlier_fraction_cata_bin_2': 0.07293666154146194, 'redshifts/outlier_fraction_cata_bin_3': 0.05944056063890457, 'redshifts/outlier_fraction_cata_bin_4': 0.06956521421670914, 'redshifts/outlier_fraction_cata_bin_5': 0.018728436902165413}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 40%|████ | 154/383 [7:03:35<10:47:16, 169.59s/it]" + " 10%|▉ | 149/1563 [12:48<1:20:51, 3.43s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([29752.])\n", - "{'redshifts/mse': 0.27785423398017883}\n" + "total num of pts: tensor([10282.])\n", + "total num of pts: tensor([3715., 2554., 1048., 574., 347., 2044.])\n", + "{'redshifts/bias_abs': 0.07474711537361145, 'redshifts/bias_abs_bin_0': 0.14685580134391785, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.022618303075432777, 'redshifts/bias': 0.004585772752761841, 'redshifts/bias_bin_0': 0.02893446385860443, 'redshifts/bias_bin_1': 0.013311170041561127, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.004879477433860302, 'redshifts/bias_bin_5': -0.0010440100450068712, 'redshifts/mse': 0.3100309669971466, 'redshifts/mse_bin_0': 0.43572530150413513, 'redshifts/mse_bin_1': 0.3688669800758362, 'redshifts/mse_bin_2': 0.2473408430814743, 'redshifts/mse_bin_3': 0.22015559673309326, 'redshifts/mse_bin_4': 0.28964826464653015, 'redshifts/mse_bin_5': 0.06890568137168884, 'redshifts/nmad': 0.11128343641757965, 'redshifts/nmad_bin_0': 0.21451511979103088, 'redshifts/nmad_bin_1': 0.1394951492547989, 'redshifts/nmad_bin_2': 0.08544877916574478, 'redshifts/nmad_bin_3': 0.06833646446466446, 'redshifts/nmad_bin_4': 0.059961896389722824, 'redshifts/nmad_bin_5': 0.03359320014715195, 'redshifts/outlier_fraction': 0.32668742537498474, 'redshifts/outlier_fraction_bin_0': 0.49367430806159973, 'redshifts/outlier_fraction_bin_1': 0.3598277270793915, 'redshifts/outlier_fraction_bin_2': 0.23759542405605316, 'redshifts/outlier_fraction_bin_3': 0.19860626757144928, 'redshifts/outlier_fraction_bin_4': 0.1729106605052948, 'redshifts/outlier_fraction_bin_5': 0.0895303338766098, 'redshifts/outlier_fraction_cata': 0.08869870007038116, 'redshifts/outlier_fraction_cata_bin_0': 0.12705248594284058, 'redshifts/outlier_fraction_cata_bin_1': 0.10454189777374268, 'redshifts/outlier_fraction_cata_bin_2': 0.07251908630132675, 'redshifts/outlier_fraction_cata_bin_3': 0.05923344939947128, 'redshifts/outlier_fraction_cata_bin_4': 0.06916426867246628, 'redshifts/outlier_fraction_cata_bin_5': 0.019080234691500664}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 40%|████ | 155/383 [7:06:42<11:03:44, 174.67s/it]" + " 10%|▉ | 150/1563 [12:51<1:15:13, 3.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([29918.])\n", - "{'redshifts/mse': 0.2780396640300751}\n" + "total num of pts: tensor([10359.])\n", + "total num of pts: tensor([3749., 2573., 1051., 579., 350., 2057.])\n", + "{'redshifts/bias_abs': 0.07485798001289368, 'redshifts/bias_abs_bin_0': 0.14776936173439026, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.022638672962784767, 'redshifts/bias': 0.00468229316174984, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.01333862915635109, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.31196916103363037, 'redshifts/mse_bin_0': 0.4401358962059021, 'redshifts/mse_bin_1': 0.36797067523002625, 'redshifts/mse_bin_2': 0.2470075935125351, 'redshifts/mse_bin_3': 0.21832896769046783, 'redshifts/mse_bin_4': 0.2871722877025604, 'redshifts/mse_bin_5': 0.07209718227386475, 'redshifts/nmad': 0.11136267334222794, 'redshifts/nmad_bin_0': 0.2150851935148239, 'redshifts/nmad_bin_1': 0.13953585922718048, 'redshifts/nmad_bin_2': 0.0859222561120987, 'redshifts/nmad_bin_3': 0.06833646446466446, 'redshifts/nmad_bin_4': 0.058968737721443176, 'redshifts/nmad_bin_5': 0.03361302986741066, 'redshifts/outlier_fraction': 0.32715514302253723, 'redshifts/outlier_fraction_bin_0': 0.49479860067367554, 'redshifts/outlier_fraction_bin_1': 0.3598911762237549, 'redshifts/outlier_fraction_bin_2': 0.23786869645118713, 'redshifts/outlier_fraction_bin_3': 0.196891188621521, 'redshifts/outlier_fraction_bin_4': 0.17142857611179352, 'redshifts/outlier_fraction_bin_5': 0.0894506573677063, 'redshifts/outlier_fraction_cata': 0.08900473266839981, 'redshifts/outlier_fraction_cata_bin_0': 0.12803414463996887, 'redshifts/outlier_fraction_cata_bin_1': 0.10415857285261154, 'redshifts/outlier_fraction_cata_bin_2': 0.07231208682060242, 'redshifts/outlier_fraction_cata_bin_3': 0.058721933513879776, 'redshifts/outlier_fraction_cata_bin_4': 0.06857142597436905, 'redshifts/outlier_fraction_cata_bin_5': 0.019445795565843582}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 41%|████ | 156/383 [7:09:31<10:54:27, 172.98s/it]" + " 10%|▉ | 151/1563 [12:53<1:10:46, 3.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([30142.])\n", - "{'redshifts/mse': 0.27855461835861206}\n" + "total num of pts: tensor([10441.])\n", + "total num of pts: tensor([3779., 2594., 1061., 586., 351., 2070.])\n", + "{'redshifts/bias_abs': 0.07485798001289368, 'redshifts/bias_abs_bin_0': 0.1478569209575653, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.022710761055350304, 'redshifts/bias': 0.004781007766723633, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.013753506354987621, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.004879477433860302, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.3119080364704132, 'redshifts/mse_bin_0': 0.440557062625885, 'redshifts/mse_bin_1': 0.36686983704566956, 'redshifts/mse_bin_2': 0.2479642629623413, 'redshifts/mse_bin_3': 0.2181921899318695, 'redshifts/mse_bin_4': 0.2863900363445282, 'redshifts/mse_bin_5': 0.07180365920066833, 'redshifts/nmad': 0.11129561066627502, 'redshifts/nmad_bin_0': 0.21525445580482483, 'redshifts/nmad_bin_1': 0.13930845260620117, 'redshifts/nmad_bin_2': 0.08662448078393936, 'redshifts/nmad_bin_3': 0.06799456477165222, 'redshifts/nmad_bin_4': 0.05936003476381302, 'redshifts/nmad_bin_5': 0.034045178443193436, 'redshifts/outlier_fraction': 0.3273632824420929, 'redshifts/outlier_fraction_bin_0': 0.49510452151298523, 'redshifts/outlier_fraction_bin_1': 0.3592906594276428, 'redshifts/outlier_fraction_bin_2': 0.23845428228378296, 'redshifts/outlier_fraction_bin_3': 0.19795222580432892, 'redshifts/outlier_fraction_bin_4': 0.17094017565250397, 'redshifts/outlier_fraction_bin_5': 0.08985507488250732, 'redshifts/outlier_fraction_cata': 0.08935925364494324, 'redshifts/outlier_fraction_cata_bin_0': 0.12887006998062134, 'redshifts/outlier_fraction_cata_bin_1': 0.10370084643363953, 'redshifts/outlier_fraction_cata_bin_2': 0.07351554930210114, 'redshifts/outlier_fraction_cata_bin_3': 0.059726960957050323, 'redshifts/outlier_fraction_cata_bin_4': 0.0683760717511177, 'redshifts/outlier_fraction_cata_bin_5': 0.019323671236634254}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 41%|████ | 157/383 [7:12:20<10:47:26, 171.89s/it]" + " 10%|▉ | 152/1563 [12:56<1:06:30, 2.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([30339.])\n", - "{'redshifts/mse': 0.2788507342338562}\n" + "total num of pts: tensor([10500.])\n", + "total num of pts: tensor([3806., 2606., 1072., 586., 354., 2076.])\n", + "{'redshifts/bias_abs': 0.07499217242002487, 'redshifts/bias_abs_bin_0': 0.14808224141597748, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.022749675437808037, 'redshifts/bias': 0.00468229316174984, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.013311170041561127, 'redshifts/bias_bin_2': 0.0005419719382189214, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0009175874292850494, 'redshifts/mse': 0.3138388693332672, 'redshifts/mse_bin_0': 0.4409624934196472, 'redshifts/mse_bin_1': 0.3681529462337494, 'redshifts/mse_bin_2': 0.2575654983520508, 'redshifts/mse_bin_3': 0.2181921899318695, 'redshifts/mse_bin_4': 0.2840471565723419, 'redshifts/mse_bin_5': 0.07373592257499695, 'redshifts/nmad': 0.11146332323551178, 'redshifts/nmad_bin_0': 0.216528981924057, 'redshifts/nmad_bin_1': 0.13939040899276733, 'redshifts/nmad_bin_2': 0.08648020774126053, 'redshifts/nmad_bin_3': 0.06799456477165222, 'redshifts/nmad_bin_4': 0.05933849513530731, 'redshifts/nmad_bin_5': 0.034230150282382965, 'redshifts/outlier_fraction': 0.3283809423446655, 'redshifts/outlier_fraction_bin_0': 0.49632158875465393, 'redshifts/outlier_fraction_bin_1': 0.3599385917186737, 'redshifts/outlier_fraction_bin_2': 0.2397388070821762, 'redshifts/outlier_fraction_bin_3': 0.19795222580432892, 'redshifts/outlier_fraction_bin_4': 0.16949152946472168, 'redshifts/outlier_fraction_bin_5': 0.09055876731872559, 'redshifts/outlier_fraction_cata': 0.09000000357627869, 'redshifts/outlier_fraction_cata_bin_0': 0.12900683283805847, 'redshifts/outlier_fraction_cata_bin_1': 0.10475824773311615, 'redshifts/outlier_fraction_cata_bin_2': 0.07555969804525375, 'redshifts/outlier_fraction_cata_bin_3': 0.059726960957050323, 'redshifts/outlier_fraction_cata_bin_4': 0.06779661029577255, 'redshifts/outlier_fraction_cata_bin_5': 0.019749518483877182}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 41%|████▏ | 158/383 [7:16:07<11:46:33, 188.41s/it]" + " 10%|▉ | 153/1563 [12:58<1:01:41, 2.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([30552.])\n", - "{'redshifts/mse': 0.27823010087013245}\n" + "total num of pts: tensor([10548.])\n", + "total num of pts: tensor([3825., 2615., 1076., 590., 356., 2086.])\n", + "{'redshifts/bias_abs': 0.07499217242002487, 'redshifts/bias_abs_bin_0': 0.14808224141597748, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.05812655761837959, 'redshifts/bias_abs_bin_3': 0.04448375850915909, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.022755078971385956, 'redshifts/bias': 0.0046013593673706055, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.01333862915635109, 'redshifts/bias_bin_2': 0.0005419719382189214, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0010626951698213816, 'redshifts/mse': 0.313752681016922, 'redshifts/mse_bin_0': 0.4413461983203888, 'redshifts/mse_bin_1': 0.36808887124061584, 'redshifts/mse_bin_2': 0.256909042596817, 'redshifts/mse_bin_3': 0.21786925196647644, 'redshifts/mse_bin_4': 0.2825547456741333, 'redshifts/mse_bin_5': 0.07344020903110504, 'redshifts/nmad': 0.11152355372905731, 'redshifts/nmad_bin_0': 0.21643853187561035, 'redshifts/nmad_bin_1': 0.13930629193782806, 'redshifts/nmad_bin_2': 0.08685234189033508, 'redshifts/nmad_bin_3': 0.0679849237203598, 'redshifts/nmad_bin_4': 0.05933849513530731, 'redshifts/nmad_bin_5': 0.03411269187927246, 'redshifts/outlier_fraction': 0.32830867171287537, 'redshifts/outlier_fraction_bin_0': 0.49620914459228516, 'redshifts/outlier_fraction_bin_1': 0.3594646155834198, 'redshifts/outlier_fraction_bin_2': 0.23977695405483246, 'redshifts/outlier_fraction_bin_3': 0.20000000298023224, 'redshifts/outlier_fraction_bin_4': 0.16853933036327362, 'redshifts/outlier_fraction_bin_5': 0.0906040295958519, 'redshifts/outlier_fraction_cata': 0.08996966481208801, 'redshifts/outlier_fraction_cata_bin_0': 0.12915033102035522, 'redshifts/outlier_fraction_cata_bin_1': 0.10478011518716812, 'redshifts/outlier_fraction_cata_bin_2': 0.07527881115674973, 'redshifts/outlier_fraction_cata_bin_3': 0.05932203307747841, 'redshifts/outlier_fraction_cata_bin_4': 0.06741572916507721, 'redshifts/outlier_fraction_cata_bin_5': 0.01965484209358692}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 42%|████▏ | 159/383 [7:19:15<11:42:31, 188.18s/it]" + " 10%|▉ | 154/1563 [13:00<57:53, 2.47s/it] " ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([30726.])\n", - "{'redshifts/mse': 0.27867305278778076}\n" + "total num of pts: tensor([10620.])\n", + "total num of pts: tensor([3855., 2639., 1081., 593., 356., 2096.])\n", + "{'redshifts/bias_abs': 0.07505328208208084, 'redshifts/bias_abs_bin_0': 0.1478569209575653, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.05883030593395233, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02276822365820408, 'redshifts/bias': 0.004758944734930992, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.013753506354987621, 'redshifts/bias_bin_2': 0.0005419719382189214, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.3139987885951996, 'redshifts/mse_bin_0': 0.44234728813171387, 'redshifts/mse_bin_1': 0.36749210953712463, 'redshifts/mse_bin_2': 0.2561800181865692, 'redshifts/mse_bin_3': 0.21722839772701263, 'redshifts/mse_bin_4': 0.2825547456741333, 'redshifts/mse_bin_5': 0.07312583923339844, 'redshifts/nmad': 0.111612468957901, 'redshifts/nmad_bin_0': 0.21538355946540833, 'redshifts/nmad_bin_1': 0.13970772922039032, 'redshifts/nmad_bin_2': 0.08690570294857025, 'redshifts/nmad_bin_3': 0.06879027932882309, 'redshifts/nmad_bin_4': 0.05933849513530731, 'redshifts/nmad_bin_5': 0.034233104437589645, 'redshifts/outlier_fraction': 0.32815441489219666, 'redshifts/outlier_fraction_bin_0': 0.495201051235199, 'redshifts/outlier_fraction_bin_1': 0.35960590839385986, 'redshifts/outlier_fraction_bin_2': 0.23959296941757202, 'redshifts/outlier_fraction_bin_3': 0.20067453384399414, 'redshifts/outlier_fraction_bin_4': 0.16853933036327362, 'redshifts/outlier_fraction_bin_5': 0.09017175436019897, 'redshifts/outlier_fraction_cata': 0.09001883119344711, 'redshifts/outlier_fraction_cata_bin_0': 0.1291828751564026, 'redshifts/outlier_fraction_cata_bin_1': 0.1049640029668808, 'redshifts/outlier_fraction_cata_bin_2': 0.07493062317371368, 'redshifts/outlier_fraction_cata_bin_3': 0.05902192369103432, 'redshifts/outlier_fraction_cata_bin_4': 0.06741572916507721, 'redshifts/outlier_fraction_cata_bin_5': 0.01956106908619404}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 42%|████▏ | 160/383 [7:22:21<11:36:56, 187.52s/it]" + " 10%|▉ | 155/1563 [13:02<54:23, 2.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([30904.])\n", - "{'redshifts/mse': 0.27827659249305725}\n" + "total num of pts: tensor([10681.])\n", + "total num of pts: tensor([3882., 2651., 1085., 596., 358., 2109.])\n", + "{'redshifts/bias_abs': 0.07508917152881622, 'redshifts/bias_abs_bin_0': 0.14791427552700043, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.05883030593395233, 'redshifts/bias_abs_bin_3': 0.04484326392412186, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.022755078971385956, 'redshifts/bias': 0.004794271197170019, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.013462833128869534, 'redshifts/bias_bin_2': 0.0005419719382189214, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.31500715017318726, 'redshifts/mse_bin_0': 0.4442198872566223, 'redshifts/mse_bin_1': 0.36965498328208923, 'redshifts/mse_bin_2': 0.2552933394908905, 'redshifts/mse_bin_3': 0.216361865401268, 'redshifts/mse_bin_4': 0.28120970726013184, 'redshifts/mse_bin_5': 0.07281074672937393, 'redshifts/nmad': 0.11171889305114746, 'redshifts/nmad_bin_0': 0.21546362340450287, 'redshifts/nmad_bin_1': 0.13949044048786163, 'redshifts/nmad_bin_2': 0.08690570294857025, 'redshifts/nmad_bin_3': 0.06946617364883423, 'redshifts/nmad_bin_4': 0.05933793634176254, 'redshifts/nmad_bin_5': 0.03413943946361542, 'redshifts/outlier_fraction': 0.32824641466140747, 'redshifts/outlier_fraction_bin_0': 0.4958783984184265, 'redshifts/outlier_fraction_bin_1': 0.35948699712753296, 'redshifts/outlier_fraction_bin_2': 0.23870967328548431, 'redshifts/outlier_fraction_bin_3': 0.1996644288301468, 'redshifts/outlier_fraction_bin_4': 0.16759777069091797, 'redshifts/outlier_fraction_bin_5': 0.09009008854627609, 'redshifts/outlier_fraction_cata': 0.09016009420156479, 'redshifts/outlier_fraction_cata_bin_0': 0.12957239151000977, 'redshifts/outlier_fraction_cata_bin_1': 0.10524330288171768, 'redshifts/outlier_fraction_cata_bin_2': 0.07465437799692154, 'redshifts/outlier_fraction_cata_bin_3': 0.05872483178973198, 'redshifts/outlier_fraction_cata_bin_4': 0.0670391097664833, 'redshifts/outlier_fraction_cata_bin_5': 0.01944049261510372}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 42%|████▏ | 161/383 [7:26:07<12:17:04, 199.21s/it]" + " 10%|▉ | 156/1563 [13:04<52:26, 2.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([31079.])\n", - "{'redshifts/mse': 0.27782294154167175}\n" + "total num of pts: tensor([10740.])\n", + "total num of pts: tensor([3896., 2665., 1092., 603., 364., 2120.])\n", + "{'redshifts/bias_abs': 0.07481461763381958, 'redshifts/bias_abs_bin_0': 0.1478569209575653, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.044972777366638184, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02268901839852333, 'redshifts/bias': 0.004984106868505478, 'redshifts/bias_bin_0': 0.0296764113008976, 'redshifts/bias_bin_1': 0.013462833128869534, 'redshifts/bias_bin_2': 0.0005582523299381137, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0009175874292850494, 'redshifts/mse': 0.3142712116241455, 'redshifts/mse_bin_0': 0.4442175626754761, 'redshifts/mse_bin_1': 0.3692398965358734, 'redshifts/mse_bin_2': 0.2538822293281555, 'redshifts/mse_bin_3': 0.21390922367572784, 'redshifts/mse_bin_4': 0.27664729952812195, 'redshifts/mse_bin_5': 0.07247775793075562, 'redshifts/nmad': 0.11120934039354324, 'redshifts/nmad_bin_0': 0.21502242982387543, 'redshifts/nmad_bin_1': 0.13927678763866425, 'redshifts/nmad_bin_2': 0.08551273494958878, 'redshifts/nmad_bin_3': 0.06897172331809998, 'redshifts/nmad_bin_4': 0.0597643218934536, 'redshifts/nmad_bin_5': 0.03378063440322876, 'redshifts/outlier_fraction': 0.3276536166667938, 'redshifts/outlier_fraction_bin_0': 0.49537986516952515, 'redshifts/outlier_fraction_bin_1': 0.3598499000072479, 'redshifts/outlier_fraction_bin_2': 0.2380952388048172, 'redshifts/outlier_fraction_bin_3': 0.19734659790992737, 'redshifts/outlier_fraction_bin_4': 0.16483516991138458, 'redshifts/outlier_fraction_bin_5': 0.09009434282779694, 'redshifts/outlier_fraction_cata': 0.08994413167238235, 'redshifts/outlier_fraction_cata_bin_0': 0.12962011992931366, 'redshifts/outlier_fraction_cata_bin_1': 0.10506566613912582, 'redshifts/outlier_fraction_cata_bin_2': 0.07417582720518112, 'redshifts/outlier_fraction_cata_bin_3': 0.05804311856627464, 'redshifts/outlier_fraction_cata_bin_4': 0.06593406945466995, 'redshifts/outlier_fraction_cata_bin_5': 0.01933962292969227}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 42%|████▏ | 162/383 [7:29:40<12:28:51, 203.31s/it]" + " 10%|█ | 157/1563 [13:15<1:51:56, 4.78s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([31279.])\n", - "{'redshifts/mse': 0.27805331349372864}\n" + "total num of pts: tensor([10798.])\n", + "total num of pts: tensor([3912., 2683., 1098., 605., 367., 2133.])\n", + "{'redshifts/bias_abs': 0.07473833858966827, 'redshifts/bias_abs_bin_0': 0.147090345621109, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.022645266726613045, 'redshifts/bias': 0.0049438769929111, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.013197129592299461, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.004879477433860302, 'redshifts/bias_bin_5': -0.0010440100450068712, 'redshifts/mse': 0.31332927942276, 'redshifts/mse_bin_0': 0.4429478347301483, 'redshifts/mse_bin_1': 0.3685895502567291, 'redshifts/mse_bin_2': 0.25324589014053345, 'redshifts/mse_bin_3': 0.21336762607097626, 'redshifts/mse_bin_4': 0.2743913233280182, 'redshifts/mse_bin_5': 0.07207722961902618, 'redshifts/nmad': 0.11113199591636658, 'redshifts/nmad_bin_0': 0.21403664350509644, 'redshifts/nmad_bin_1': 0.13931263983249664, 'redshifts/nmad_bin_2': 0.08567480742931366, 'redshifts/nmad_bin_3': 0.06928408890962601, 'redshifts/nmad_bin_4': 0.05936003476381302, 'redshifts/nmad_bin_5': 0.033659640699625015, 'redshifts/outlier_fraction': 0.327097624540329, 'redshifts/outlier_fraction_bin_0': 0.4943762719631195, 'redshifts/outlier_fraction_bin_1': 0.35855385661125183, 'redshifts/outlier_fraction_bin_2': 0.2395264059305191, 'redshifts/outlier_fraction_bin_3': 0.20000000298023224, 'redshifts/outlier_fraction_bin_4': 0.1634877324104309, 'redshifts/outlier_fraction_bin_5': 0.09001406282186508, 'redshifts/outlier_fraction_cata': 0.08955362439155579, 'redshifts/outlier_fraction_cata_bin_0': 0.12908998131752014, 'redshifts/outlier_fraction_cata_bin_1': 0.10473350435495377, 'redshifts/outlier_fraction_cata_bin_2': 0.07377049326896667, 'redshifts/outlier_fraction_cata_bin_3': 0.057851240038871765, 'redshifts/outlier_fraction_cata_bin_4': 0.06539509445428848, 'redshifts/outlier_fraction_cata_bin_5': 0.019221752882003784}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 43%|████▎ | 163/383 [7:32:59<12:20:26, 201.94s/it]" + " 10%|█ | 158/1563 [13:19<1:48:25, 4.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([31478.])\n", - "{'redshifts/mse': 0.277985543012619}\n" + "total num of pts: tensor([10863.])\n", + "total num of pts: tensor([3930., 2696., 1108., 611., 368., 2150.])\n", + "{'redshifts/bias_abs': 0.07481461763381958, 'redshifts/bias_abs_bin_0': 0.1470949500799179, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.022710761055350304, 'redshifts/bias': 0.004733383189886808, 'redshifts/bias_bin_0': 0.0296764113008976, 'redshifts/bias_bin_1': 0.013060872443020344, 'redshifts/bias_bin_2': 0.0005582523299381137, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.004879477433860302, 'redshifts/bias_bin_5': -0.0010626951698213816, 'redshifts/mse': 0.31292852759361267, 'redshifts/mse_bin_0': 0.4430018961429596, 'redshifts/mse_bin_1': 0.3684110939502716, 'redshifts/mse_bin_2': 0.25368863344192505, 'redshifts/mse_bin_3': 0.2118859440088272, 'redshifts/mse_bin_4': 0.27364587783813477, 'redshifts/mse_bin_5': 0.07156265527009964, 'redshifts/nmad': 0.11132781207561493, 'redshifts/nmad_bin_0': 0.21451354026794434, 'redshifts/nmad_bin_1': 0.1398995816707611, 'redshifts/nmad_bin_2': 0.08551273494958878, 'redshifts/nmad_bin_3': 0.0707322433590889, 'redshifts/nmad_bin_4': 0.05894719809293747, 'redshifts/nmad_bin_5': 0.03401843085885048, 'redshifts/outlier_fraction': 0.3272576630115509, 'redshifts/outlier_fraction_bin_0': 0.494656503200531, 'redshifts/outlier_fraction_bin_1': 0.3597922921180725, 'redshifts/outlier_fraction_bin_2': 0.24007220566272736, 'redshifts/outlier_fraction_bin_3': 0.199672669172287, 'redshifts/outlier_fraction_bin_4': 0.16304348409175873, 'redshifts/outlier_fraction_bin_5': 0.0897674411535263, 'redshifts/outlier_fraction_cata': 0.089385986328125, 'redshifts/outlier_fraction_cata_bin_0': 0.1287531852722168, 'redshifts/outlier_fraction_cata_bin_1': 0.10497032850980759, 'redshifts/outlier_fraction_cata_bin_2': 0.07400722056627274, 'redshifts/outlier_fraction_cata_bin_3': 0.05728314071893692, 'redshifts/outlier_fraction_cata_bin_4': 0.06521739065647125, 'redshifts/outlier_fraction_cata_bin_5': 0.019069766625761986}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 43%|████▎ | 164/383 [7:36:42<12:40:25, 208.33s/it]" + " 10%|█ | 159/1563 [13:25<1:56:15, 4.97s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([31697.])\n", - "{'redshifts/mse': 0.2777807414531708}\n" + "total num of pts: tensor([10920.])\n", + "total num of pts: tensor([3952., 2711., 1114., 612., 370., 2161.])\n", + "{'redshifts/bias_abs': 0.0748266875743866, 'redshifts/bias_abs_bin_0': 0.147090345621109, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.022755078971385956, 'redshifts/bias': 0.004758944734930992, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.013311170041561127, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.31292444467544556, 'redshifts/mse_bin_0': 0.44285306334495544, 'redshifts/mse_bin_1': 0.3674928545951843, 'redshifts/mse_bin_2': 0.25478023290634155, 'redshifts/mse_bin_3': 0.21153992414474487, 'redshifts/mse_bin_4': 0.2723391056060791, 'redshifts/mse_bin_5': 0.07249216735363007, 'redshifts/nmad': 0.11132831871509552, 'redshifts/nmad_bin_0': 0.21413184702396393, 'redshifts/nmad_bin_1': 0.1402706652879715, 'redshifts/nmad_bin_2': 0.08666612952947617, 'redshifts/nmad_bin_3': 0.06968822330236435, 'redshifts/nmad_bin_4': 0.058968737721443176, 'redshifts/nmad_bin_5': 0.03413943946361542, 'redshifts/outlier_fraction': 0.3275640904903412, 'redshifts/outlier_fraction_bin_0': 0.49443319439888, 'redshifts/outlier_fraction_bin_1': 0.36038362979888916, 'redshifts/outlier_fraction_bin_2': 0.24057450890541077, 'redshifts/outlier_fraction_bin_3': 0.1993464082479477, 'redshifts/outlier_fraction_bin_4': 0.16486486792564392, 'redshifts/outlier_fraction_bin_5': 0.09023600071668625, 'redshifts/outlier_fraction_cata': 0.08946886658668518, 'redshifts/outlier_fraction_cata_bin_0': 0.12904858589172363, 'redshifts/outlier_fraction_cata_bin_1': 0.10438952594995499, 'redshifts/outlier_fraction_cata_bin_2': 0.07450628280639648, 'redshifts/outlier_fraction_cata_bin_3': 0.057189542800188065, 'redshifts/outlier_fraction_cata_bin_4': 0.0648648664355278, 'redshifts/outlier_fraction_cata_bin_5': 0.019435446709394455}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 43%|████▎ | 165/383 [7:39:57<12:22:45, 204.43s/it]" + " 10%|█ | 160/1563 [13:29<1:52:51, 4.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([31885.])\n", - "{'redshifts/mse': 0.27793216705322266}\n" + "total num of pts: tensor([10974.])\n", + "total num of pts: tensor([3975., 2728., 1118., 615., 372., 2166.])\n", + "{'redshifts/bias_abs': 0.07488371431827545, 'redshifts/bias_abs_bin_0': 0.14671963453292847, 'redshifts/bias_abs_bin_1': 0.09238064289093018, 'redshifts/bias_abs_bin_2': 0.05812655761837959, 'redshifts/bias_abs_bin_3': 0.044972777366638184, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.022749675437808037, 'redshifts/bias': 0.004781007766723633, 'redshifts/bias_bin_0': 0.02966480143368244, 'redshifts/bias_bin_1': 0.013119771145284176, 'redshifts/bias_bin_2': 0.0005419719382189214, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.004932268522679806, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.3134923279285431, 'redshifts/mse_bin_0': 0.4426646828651428, 'redshifts/mse_bin_1': 0.368566632270813, 'redshifts/mse_bin_2': 0.2578597366809845, 'redshifts/mse_bin_3': 0.21051524579524994, 'redshifts/mse_bin_4': 0.2708885669708252, 'redshifts/mse_bin_5': 0.07234565913677216, 'redshifts/nmad': 0.11136388033628464, 'redshifts/nmad_bin_0': 0.21343232691287994, 'redshifts/nmad_bin_1': 0.14003461599349976, 'redshifts/nmad_bin_2': 0.08685234189033508, 'redshifts/nmad_bin_3': 0.06946617364883423, 'redshifts/nmad_bin_4': 0.05882794409990311, 'redshifts/nmad_bin_5': 0.034045178443193436, 'redshifts/outlier_fraction': 0.32731911540031433, 'redshifts/outlier_fraction_bin_0': 0.4933333396911621, 'redshifts/outlier_fraction_bin_1': 0.3603372573852539, 'redshifts/outlier_fraction_bin_2': 0.24060823023319244, 'redshifts/outlier_fraction_bin_3': 0.19837398827075958, 'redshifts/outlier_fraction_bin_4': 0.1639784872531891, 'redshifts/outlier_fraction_bin_5': 0.09048938006162643, 'redshifts/outlier_fraction_cata': 0.08948423713445663, 'redshifts/outlier_fraction_cata_bin_0': 0.1288050264120102, 'redshifts/outlier_fraction_cata_bin_1': 0.10447213798761368, 'redshifts/outlier_fraction_cata_bin_2': 0.07513416558504105, 'redshifts/outlier_fraction_cata_bin_3': 0.056910570710897446, 'redshifts/outlier_fraction_cata_bin_4': 0.06451612710952759, 'redshifts/outlier_fraction_cata_bin_5': 0.01939058117568493}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 43%|████▎ | 166/383 [7:43:02<11:58:08, 198.56s/it]" + " 10%|█ | 161/1563 [13:34<1:50:01, 4.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([32077.])\n", - "{'redshifts/mse': 0.27792343497276306}\n" + "total num of pts: tensor([11041.])\n", + "total num of pts: tensor([3998., 2739., 1129., 620., 374., 2181.])\n", + "{'redshifts/bias_abs': 0.07466922700405121, 'redshifts/bias_abs_bin_0': 0.14632192254066467, 'redshifts/bias_abs_bin_1': 0.09238064289093018, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.022749675437808037, 'redshifts/bias': 0.004887765273451805, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.013192939572036266, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.31326791644096375, 'redshifts/mse_bin_0': 0.4436414837837219, 'redshifts/mse_bin_1': 0.3675512373447418, 'redshifts/mse_bin_2': 0.2575165629386902, 'redshifts/mse_bin_3': 0.20940546691417694, 'redshifts/mse_bin_4': 0.26949548721313477, 'redshifts/mse_bin_5': 0.07200035452842712, 'redshifts/nmad': 0.11105804145336151, 'redshifts/nmad_bin_0': 0.21302430331707, 'redshifts/nmad_bin_1': 0.14013954997062683, 'redshifts/nmad_bin_2': 0.08538548648357391, 'redshifts/nmad_bin_3': 0.06946617364883423, 'redshifts/nmad_bin_4': 0.058968737721443176, 'redshifts/nmad_bin_5': 0.034001998603343964, 'redshifts/outlier_fraction': 0.3266008496284485, 'redshifts/outlier_fraction_bin_0': 0.4924962520599365, 'redshifts/outlier_fraction_bin_1': 0.3599853813648224, 'redshifts/outlier_fraction_bin_2': 0.23914968967437744, 'redshifts/outlier_fraction_bin_3': 0.19838710129261017, 'redshifts/outlier_fraction_bin_4': 0.16310159862041473, 'redshifts/outlier_fraction_bin_5': 0.09032554179430008, 'redshifts/outlier_fraction_cata': 0.08930350840091705, 'redshifts/outlier_fraction_cata_bin_0': 0.12881441414356232, 'redshifts/outlier_fraction_cata_bin_1': 0.1040525734424591, 'redshifts/outlier_fraction_cata_bin_2': 0.07528786361217499, 'redshifts/outlier_fraction_cata_bin_3': 0.05645161122083664, 'redshifts/outlier_fraction_cata_bin_4': 0.06417112052440643, 'redshifts/outlier_fraction_cata_bin_5': 0.01925722137093544}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 44%|████▎ | 167/383 [7:46:27<12:01:35, 200.44s/it]" + " 10%|█ | 162/1563 [13:39<1:54:38, 4.91s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([32295.])\n", - "{'redshifts/mse': 0.27813559770584106}\n" + "total num of pts: tensor([11097.])\n", + "total num of pts: tensor([4017., 2755., 1131., 621., 375., 2198.])\n", + "{'redshifts/bias_abs': 0.07458403706550598, 'redshifts/bias_abs_bin_0': 0.14627860486507416, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.022710761055350304, 'redshifts/bias': 0.004930317401885986, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.013119771145284176, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.3139674961566925, 'redshifts/mse_bin_0': 0.4450934827327728, 'redshifts/mse_bin_1': 0.3673568367958069, 'redshifts/mse_bin_2': 0.2570995092391968, 'redshifts/mse_bin_3': 0.20907002687454224, 'redshifts/mse_bin_4': 0.2791215181350708, 'redshifts/mse_bin_5': 0.07225179672241211, 'redshifts/nmad': 0.11094921082258224, 'redshifts/nmad_bin_0': 0.21294891834259033, 'redshifts/nmad_bin_1': 0.13998690247535706, 'redshifts/nmad_bin_2': 0.08538548648357391, 'redshifts/nmad_bin_3': 0.06920065730810165, 'redshifts/nmad_bin_4': 0.05933849513530731, 'redshifts/nmad_bin_5': 0.0339541882276535, 'redshifts/outlier_fraction': 0.32657474279403687, 'redshifts/outlier_fraction_bin_0': 0.49215832352638245, 'redshifts/outlier_fraction_bin_1': 0.35970962047576904, 'redshifts/outlier_fraction_bin_2': 0.23872679471969604, 'redshifts/outlier_fraction_bin_3': 0.19806763529777527, 'redshifts/outlier_fraction_bin_4': 0.1653333306312561, 'redshifts/outlier_fraction_bin_5': 0.09144677221775055, 'redshifts/outlier_fraction_cata': 0.08966387063264847, 'redshifts/outlier_fraction_cata_bin_0': 0.12969878315925598, 'redshifts/outlier_fraction_cata_bin_1': 0.10381124913692474, 'redshifts/outlier_fraction_cata_bin_2': 0.07515472918748856, 'redshifts/outlier_fraction_cata_bin_3': 0.05636070668697357, 'redshifts/outlier_fraction_cata_bin_4': 0.06666667014360428, 'redshifts/outlier_fraction_cata_bin_5': 0.019563239067792892}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 44%|████▍ | 168/383 [7:49:44<11:54:08, 199.30s/it]" + " 10%|█ | 163/1563 [13:44<1:55:26, 4.95s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([32480.])\n", - "{'redshifts/mse': 0.27855950593948364}\n" + "total num of pts: tensor([11167.])\n", + "total num of pts: tensor([4048., 2769., 1138., 626., 376., 2210.])\n", + "{'redshifts/bias_abs': 0.074709452688694, 'redshifts/bias_abs_bin_0': 0.14627860486507416, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.022710761055350304, 'redshifts/bias': 0.004927769768983126, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.013197129592299461, 'redshifts/bias_bin_2': 0.0005419719382189214, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.004932268522679806, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.3143855333328247, 'redshifts/mse_bin_0': 0.44515183568000793, 'redshifts/mse_bin_1': 0.36750689148902893, 'redshifts/mse_bin_2': 0.2565661072731018, 'redshifts/mse_bin_3': 0.20761500298976898, 'redshifts/mse_bin_4': 0.27847713232040405, 'redshifts/mse_bin_5': 0.07443331927061081, 'redshifts/nmad': 0.11107802391052246, 'redshifts/nmad_bin_0': 0.21302430331707, 'redshifts/nmad_bin_1': 0.13931263983249664, 'redshifts/nmad_bin_2': 0.0852942168712616, 'redshifts/nmad_bin_3': 0.06946617364883423, 'redshifts/nmad_bin_4': 0.059281766414642334, 'redshifts/nmad_bin_5': 0.033916719257831573, 'redshifts/outlier_fraction': 0.32640817761421204, 'redshifts/outlier_fraction_bin_0': 0.49234190583229065, 'redshifts/outlier_fraction_bin_1': 0.3586132228374481, 'redshifts/outlier_fraction_bin_2': 0.23813708126544952, 'redshifts/outlier_fraction_bin_3': 0.1980830729007721, 'redshifts/outlier_fraction_bin_4': 0.16489361226558685, 'redshifts/outlier_fraction_bin_5': 0.09140271693468094, 'redshifts/outlier_fraction_cata': 0.08981821686029434, 'redshifts/outlier_fraction_cata_bin_0': 0.1296936720609665, 'redshifts/outlier_fraction_cata_bin_1': 0.10400866717100143, 'redshifts/outlier_fraction_cata_bin_2': 0.07557117938995361, 'redshifts/outlier_fraction_cata_bin_3': 0.055910542607307434, 'redshifts/outlier_fraction_cata_bin_4': 0.06648936122655869, 'redshifts/outlier_fraction_cata_bin_5': 0.019909502938389778}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 44%|████▍ | 169/383 [7:53:01<11:48:43, 198.71s/it]" + " 10%|█ | 164/1563 [13:51<2:11:46, 5.65s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([32671.])\n", - "{'redshifts/mse': 0.2786380648612976}\n" + "total num of pts: tensor([11217.])\n", + "total num of pts: tensor([4062., 2785., 1140., 631., 379., 2220.])\n", + "{'redshifts/bias_abs': 0.07471206039190292, 'redshifts/bias_abs_bin_0': 0.14627860486507416, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.022749675437808037, 'redshifts/bias': 0.004927769768983126, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.013119771145284176, 'redshifts/bias_bin_2': 0.0005419719382189214, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.004879477433860302, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.3148212134838104, 'redshifts/mse_bin_0': 0.44516849517822266, 'redshifts/mse_bin_1': 0.3679855763912201, 'redshifts/mse_bin_2': 0.2573558986186981, 'redshifts/mse_bin_3': 0.2148284912109375, 'redshifts/mse_bin_4': 0.27641957998275757, 'redshifts/mse_bin_5': 0.0741136372089386, 'redshifts/nmad': 0.11108746379613876, 'redshifts/nmad_bin_0': 0.2133685052394867, 'redshifts/nmad_bin_1': 0.1394273340702057, 'redshifts/nmad_bin_2': 0.0852942168712616, 'redshifts/nmad_bin_3': 0.07059362530708313, 'redshifts/nmad_bin_4': 0.05978812649846077, 'redshifts/nmad_bin_5': 0.034045178443193436, 'redshifts/outlier_fraction': 0.32629045844078064, 'redshifts/outlier_fraction_bin_0': 0.49236828088760376, 'redshifts/outlier_fraction_bin_1': 0.3583482801914215, 'redshifts/outlier_fraction_bin_2': 0.23859648406505585, 'redshifts/outlier_fraction_bin_3': 0.1996830403804779, 'redshifts/outlier_fraction_bin_4': 0.16358838975429535, 'redshifts/outlier_fraction_bin_5': 0.09099099040031433, 'redshifts/outlier_fraction_cata': 0.089952751994133, 'redshifts/outlier_fraction_cata_bin_0': 0.1294928640127182, 'redshifts/outlier_fraction_cata_bin_1': 0.10412926226854324, 'redshifts/outlier_fraction_cata_bin_2': 0.07631579041481018, 'redshifts/outlier_fraction_cata_bin_3': 0.05863708257675171, 'redshifts/outlier_fraction_cata_bin_4': 0.06596305966377258, 'redshifts/outlier_fraction_cata_bin_5': 0.019819820299744606}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 44%|████▍ | 170/383 [7:56:06<11:31:10, 194.70s/it]" + " 11%|█ | 165/1563 [13:56<2:02:34, 5.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([32887.])\n", - "{'redshifts/mse': 0.2785065174102783}\n" + "total num of pts: tensor([11275.])\n", + "total num of pts: tensor([4078., 2797., 1146., 635., 380., 2239.])\n", + "{'redshifts/bias_abs': 0.07468488812446594, 'redshifts/bias_abs_bin_0': 0.14617660641670227, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.022801244631409645, 'redshifts/bias': 0.004781007766723633, 'redshifts/bias_bin_0': 0.030004778876900673, 'redshifts/bias_bin_1': 0.013060872443020344, 'redshifts/bias_bin_2': 0.0005582523299381137, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.3145955801010132, 'redshifts/mse_bin_0': 0.44523951411247253, 'redshifts/mse_bin_1': 0.36758142709732056, 'redshifts/mse_bin_2': 0.25983160734176636, 'redshifts/mse_bin_3': 0.21354101598262787, 'redshifts/mse_bin_4': 0.2756997048854828, 'redshifts/mse_bin_5': 0.07374884933233261, 'redshifts/nmad': 0.111124187707901, 'redshifts/nmad_bin_0': 0.21292826533317566, 'redshifts/nmad_bin_1': 0.1398995816707611, 'redshifts/nmad_bin_2': 0.08527007699012756, 'redshifts/nmad_bin_3': 0.07059362530708313, 'redshifts/nmad_bin_4': 0.0597643218934536, 'redshifts/nmad_bin_5': 0.034148260951042175, 'redshifts/outlier_fraction': 0.3263857960700989, 'redshifts/outlier_fraction_bin_0': 0.49215301871299744, 'redshifts/outlier_fraction_bin_1': 0.3589560389518738, 'redshifts/outlier_fraction_bin_2': 0.23996509611606598, 'redshifts/outlier_fraction_bin_3': 0.19842520356178284, 'redshifts/outlier_fraction_bin_4': 0.1631578952074051, 'redshifts/outlier_fraction_bin_5': 0.09200535714626312, 'redshifts/outlier_fraction_cata': 0.08975609391927719, 'redshifts/outlier_fraction_cata_bin_0': 0.12923000752925873, 'redshifts/outlier_fraction_cata_bin_1': 0.10404004156589508, 'redshifts/outlier_fraction_cata_bin_2': 0.07678882777690887, 'redshifts/outlier_fraction_cata_bin_3': 0.05826771631836891, 'redshifts/outlier_fraction_cata_bin_4': 0.06578947603702545, 'redshifts/outlier_fraction_cata_bin_5': 0.019651630893349648}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 45%|████▍ | 171/383 [7:58:56<11:01:39, 187.26s/it]" + " 11%|█ | 166/1563 [13:59<1:50:51, 4.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([33060.])\n", - "{'redshifts/mse': 0.2782737612724304}\n" + "total num of pts: tensor([11328.])\n", + "total num of pts: tensor([4096., 2809., 1159., 636., 381., 2247.])\n", + "{'redshifts/bias_abs': 0.07466590404510498, 'redshifts/bias_abs_bin_0': 0.14627860486507416, 'redshifts/bias_abs_bin_1': 0.09238064289093018, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02276822365820408, 'redshifts/bias': 0.004781007766723633, 'redshifts/bias_bin_0': 0.030004778876900673, 'redshifts/bias_bin_1': 0.013119771145284176, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.004894005600363016, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.3144165575504303, 'redshifts/mse_bin_0': 0.44407427310943604, 'redshifts/mse_bin_1': 0.36685189604759216, 'redshifts/mse_bin_2': 0.26381567120552063, 'redshifts/mse_bin_3': 0.21320582926273346, 'redshifts/mse_bin_4': 0.27507540583610535, 'redshifts/mse_bin_5': 0.07393567264080048, 'redshifts/nmad': 0.11106516420841217, 'redshifts/nmad_bin_0': 0.21292826533317566, 'redshifts/nmad_bin_1': 0.14003461599349976, 'redshifts/nmad_bin_2': 0.08542713522911072, 'redshifts/nmad_bin_3': 0.06954960525035858, 'redshifts/nmad_bin_4': 0.059809666126966476, 'redshifts/nmad_bin_5': 0.034102436155080795, 'redshifts/outlier_fraction': 0.3266243040561676, 'redshifts/outlier_fraction_bin_0': 0.4921875, 'redshifts/outlier_fraction_bin_1': 0.3595585525035858, 'redshifts/outlier_fraction_bin_2': 0.24072475731372833, 'redshifts/outlier_fraction_bin_3': 0.19811320304870605, 'redshifts/outlier_fraction_bin_4': 0.1627296656370163, 'redshifts/outlier_fraction_bin_5': 0.09212283045053482, 'redshifts/outlier_fraction_cata': 0.08960098773241043, 'redshifts/outlier_fraction_cata_bin_0': 0.128662109375, 'redshifts/outlier_fraction_cata_bin_1': 0.10359558463096619, 'redshifts/outlier_fraction_cata_bin_2': 0.07851596176624298, 'redshifts/outlier_fraction_cata_bin_3': 0.05817610025405884, 'redshifts/outlier_fraction_cata_bin_4': 0.06561680138111115, 'redshifts/outlier_fraction_cata_bin_5': 0.019581664353609085}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 45%|████▍ | 172/383 [8:01:43<10:36:19, 180.94s/it]" + " 11%|█ | 167/1563 [14:05<2:00:47, 5.19s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([33270.])\n", - "{'redshifts/mse': 0.27848848700523376}\n" + "total num of pts: tensor([11386.])\n", + "total num of pts: tensor([4117., 2820., 1165., 641., 386., 2257.])\n", + "{'redshifts/bias_abs': 0.074480339884758, 'redshifts/bias_abs_bin_0': 0.14632192254066467, 'redshifts/bias_abs_bin_1': 0.09238064289093018, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.022816698998212814, 'redshifts/bias': 0.004793108440935612, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.013060872443020344, 'redshifts/bias_bin_2': 0.0008387637790292501, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.004932268522679806, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.3142383098602295, 'redshifts/mse_bin_0': 0.44349971413612366, 'redshifts/mse_bin_1': 0.3660812973976135, 'redshifts/mse_bin_2': 0.2635921239852905, 'redshifts/mse_bin_3': 0.211561918258667, 'redshifts/mse_bin_4': 0.2715660035610199, 'redshifts/mse_bin_5': 0.07627901434898376, 'redshifts/nmad': 0.11081745475530624, 'redshifts/nmad_bin_0': 0.21342527866363525, 'redshifts/nmad_bin_1': 0.13996537029743195, 'redshifts/nmad_bin_2': 0.08554267138242722, 'redshifts/nmad_bin_3': 0.06946617364883423, 'redshifts/nmad_bin_4': 0.059281766414642334, 'redshifts/nmad_bin_5': 0.03419533371925354, 'redshifts/outlier_fraction': 0.3264535367488861, 'redshifts/outlier_fraction_bin_0': 0.4923487901687622, 'redshifts/outlier_fraction_bin_1': 0.35957446694374084, 'redshifts/outlier_fraction_bin_2': 0.2403433471918106, 'redshifts/outlier_fraction_bin_3': 0.1965678632259369, 'redshifts/outlier_fraction_bin_4': 0.1606217622756958, 'redshifts/outlier_fraction_bin_5': 0.09215772897005081, 'redshifts/outlier_fraction_cata': 0.08958370238542557, 'redshifts/outlier_fraction_cata_bin_0': 0.1287345141172409, 'redshifts/outlier_fraction_cata_bin_1': 0.10319148749113083, 'redshifts/outlier_fraction_cata_bin_2': 0.07896995544433594, 'redshifts/outlier_fraction_cata_bin_3': 0.057722307741642, 'redshifts/outlier_fraction_cata_bin_4': 0.06476683914661407, 'redshifts/outlier_fraction_cata_bin_5': 0.019937971606850624}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 45%|████▌ | 173/383 [8:04:29<10:18:24, 176.69s/it]" + " 11%|█ | 168/1563 [14:12<2:10:54, 5.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([33483.])\n", - "{'redshifts/mse': 0.27831339836120605}\n" + "total num of pts: tensor([11444.])\n", + "total num of pts: tensor([4135., 2831., 1170., 644., 389., 2275.])\n", + "{'redshifts/bias_abs': 0.07458403706550598, 'redshifts/bias_abs_bin_0': 0.14627860486507416, 'redshifts/bias_abs_bin_1': 0.0925459936261177, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04502061381936073, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.022942334413528442, 'redshifts/bias': 0.0048274993896484375, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.013060872443020344, 'redshifts/bias_bin_2': 0.0008387637790292501, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.31498897075653076, 'redshifts/mse_bin_0': 0.4432980418205261, 'redshifts/mse_bin_1': 0.367098331451416, 'redshifts/mse_bin_2': 0.2629522681236267, 'redshifts/mse_bin_3': 0.21852490305900574, 'redshifts/mse_bin_4': 0.2699775695800781, 'redshifts/mse_bin_5': 0.07869797199964523, 'redshifts/nmad': 0.11092505604028702, 'redshifts/nmad_bin_0': 0.21352237462997437, 'redshifts/nmad_bin_1': 0.14003202319145203, 'redshifts/nmad_bin_2': 0.08563929796218872, 'redshifts/nmad_bin_3': 0.06958440691232681, 'redshifts/nmad_bin_4': 0.05967908725142479, 'redshifts/nmad_bin_5': 0.034487899392843246, 'redshifts/outlier_fraction': 0.3263719081878662, 'redshifts/outlier_fraction_bin_0': 0.4921402633190155, 'redshifts/outlier_fraction_bin_1': 0.3595902621746063, 'redshifts/outlier_fraction_bin_2': 0.2410256415605545, 'redshifts/outlier_fraction_bin_3': 0.19720496237277985, 'redshifts/outlier_fraction_bin_4': 0.16195373237133026, 'redshifts/outlier_fraction_bin_5': 0.0923076942563057, 'redshifts/outlier_fraction_cata': 0.08974134922027588, 'redshifts/outlier_fraction_cata_bin_0': 0.12889963388442993, 'redshifts/outlier_fraction_cata_bin_1': 0.10349699854850769, 'redshifts/outlier_fraction_cata_bin_2': 0.07863248139619827, 'redshifts/outlier_fraction_cata_bin_3': 0.059006210416555405, 'redshifts/outlier_fraction_cata_bin_4': 0.0642673522233963, 'redshifts/outlier_fraction_cata_bin_5': 0.02021978050470352}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 45%|████▌ | 174/383 [8:07:19<10:08:04, 174.57s/it]" + " 11%|█ | 169/1563 [14:16<2:02:13, 5.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([33686.])\n", - "{'redshifts/mse': 0.2778158187866211}\n" + "total num of pts: tensor([11506.])\n", + "total num of pts: tensor([4163., 2842., 1175., 648., 392., 2286.])\n", + "{'redshifts/bias_abs': 0.07453634589910507, 'redshifts/bias_abs_bin_0': 0.1457652896642685, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.022942334413528442, 'redshifts/bias': 0.004884215537458658, 'redshifts/bias_bin_0': 0.030956003814935684, 'redshifts/bias_bin_1': 0.013119771145284176, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.3143842816352844, 'redshifts/mse_bin_0': 0.4428093433380127, 'redshifts/mse_bin_1': 0.36611467599868774, 'redshifts/mse_bin_2': 0.26200342178344727, 'redshifts/mse_bin_3': 0.21780508756637573, 'redshifts/mse_bin_4': 0.2679174840450287, 'redshifts/mse_bin_5': 0.07846859097480774, 'redshifts/nmad': 0.1109234094619751, 'redshifts/nmad_bin_0': 0.21226444840431213, 'redshifts/nmad_bin_1': 0.13998690247535706, 'redshifts/nmad_bin_2': 0.08565457910299301, 'redshifts/nmad_bin_3': 0.07058301568031311, 'redshifts/nmad_bin_4': 0.05933793634176254, 'redshifts/nmad_bin_5': 0.034487899392843246, 'redshifts/outlier_fraction': 0.3260907232761383, 'redshifts/outlier_fraction_bin_0': 0.4914724826812744, 'redshifts/outlier_fraction_bin_1': 0.3589021861553192, 'redshifts/outlier_fraction_bin_2': 0.24085105955600739, 'redshifts/outlier_fraction_bin_3': 0.1975308656692505, 'redshifts/outlier_fraction_bin_4': 0.1607142835855484, 'redshifts/outlier_fraction_bin_5': 0.09273840487003326, 'redshifts/outlier_fraction_cata': 0.08951850980520248, 'redshifts/outlier_fraction_cata_bin_0': 0.12875330448150635, 'redshifts/outlier_fraction_cata_bin_1': 0.10309641063213348, 'redshifts/outlier_fraction_cata_bin_2': 0.07829787582159042, 'redshifts/outlier_fraction_cata_bin_3': 0.05864197388291359, 'redshifts/outlier_fraction_cata_bin_4': 0.06377550959587097, 'redshifts/outlier_fraction_cata_bin_5': 0.020122485235333443}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 46%|████▌ | 175/383 [8:10:28<10:19:49, 178.80s/it]" + " 11%|█ | 170/1563 [14:22<2:07:12, 5.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([33904.])\n", - "{'redshifts/mse': 0.2779826521873474}\n" + "total num of pts: tensor([11576.])\n", + "total num of pts: tensor([4186., 2855., 1185., 653., 397., 2300.])\n", + "{'redshifts/bias_abs': 0.0745978131890297, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.022816698998212814, 'redshifts/bias': 0.004794271197170019, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.013197129592299461, 'redshifts/bias_bin_2': 0.000927675049751997, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.3139420747756958, 'redshifts/mse_bin_0': 0.4414696991443634, 'redshifts/mse_bin_1': 0.36671769618988037, 'redshifts/mse_bin_2': 0.26118335127830505, 'redshifts/mse_bin_3': 0.21623533964157104, 'redshifts/mse_bin_4': 0.2694796621799469, 'redshifts/mse_bin_5': 0.07892923802137375, 'redshifts/nmad': 0.11104550212621689, 'redshifts/nmad_bin_0': 0.21162812411785126, 'redshifts/nmad_bin_1': 0.1399199366569519, 'redshifts/nmad_bin_2': 0.0857711210846901, 'redshifts/nmad_bin_3': 0.07062843441963196, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.03419533371925354, 'redshifts/outlier_fraction': 0.32593297958374023, 'redshifts/outlier_fraction_bin_0': 0.4911610186100006, 'redshifts/outlier_fraction_bin_1': 0.3586690127849579, 'redshifts/outlier_fraction_bin_2': 0.24219408631324768, 'redshifts/outlier_fraction_bin_3': 0.19601838290691376, 'redshifts/outlier_fraction_bin_4': 0.16372795403003693, 'redshifts/outlier_fraction_bin_5': 0.09260869771242142, 'redshifts/outlier_fraction_cata': 0.08949550986289978, 'redshifts/outlier_fraction_cata_bin_0': 0.12852364778518677, 'redshifts/outlier_fraction_cata_bin_1': 0.10332749783992767, 'redshifts/outlier_fraction_cata_bin_2': 0.07763712853193283, 'redshifts/outlier_fraction_cata_bin_3': 0.05819295719265938, 'redshifts/outlier_fraction_cata_bin_4': 0.06549118459224701, 'redshifts/outlier_fraction_cata_bin_5': 0.020434781908988953}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 46%|████▌ | 176/383 [8:13:16<10:06:10, 175.70s/it]" + " 11%|█ | 171/1563 [14:31<2:26:22, 6.31s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([34091.])\n", - "{'redshifts/mse': 0.27767542004585266}\n" + "total num of pts: tensor([11625.])\n", + "total num of pts: tensor([4204., 2865., 1187., 654., 399., 2316.])\n", + "{'redshifts/bias_abs': 0.074454665184021, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.022942334413528442, 'redshifts/bias': 0.004781007766723633, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.013192939572036266, 'redshifts/bias_bin_2': 0.000927675049751997, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.3133600652217865, 'redshifts/mse_bin_0': 0.44074317812919617, 'redshifts/mse_bin_1': 0.36666223406791687, 'redshifts/mse_bin_2': 0.2607520520687103, 'redshifts/mse_bin_3': 0.21591120958328247, 'redshifts/mse_bin_4': 0.2681904733181, 'redshifts/mse_bin_5': 0.07846055924892426, 'redshifts/nmad': 0.11077039688825607, 'redshifts/nmad_bin_0': 0.21162812411785126, 'redshifts/nmad_bin_1': 0.13959486782550812, 'redshifts/nmad_bin_2': 0.08567449450492859, 'redshifts/nmad_bin_3': 0.07068683207035065, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.03451171889901161, 'redshifts/outlier_fraction': 0.32559138536453247, 'redshifts/outlier_fraction_bin_0': 0.4909609854221344, 'redshifts/outlier_fraction_bin_1': 0.35846421122550964, 'redshifts/outlier_fraction_bin_2': 0.24178601801395416, 'redshifts/outlier_fraction_bin_3': 0.1957186609506607, 'redshifts/outlier_fraction_bin_4': 0.16290727257728577, 'redshifts/outlier_fraction_bin_5': 0.0924006924033165, 'redshifts/outlier_fraction_cata': 0.08937634527683258, 'redshifts/outlier_fraction_cata_bin_0': 0.12844909727573395, 'redshifts/outlier_fraction_cata_bin_1': 0.10331588238477707, 'redshifts/outlier_fraction_cata_bin_2': 0.07750631868839264, 'redshifts/outlier_fraction_cata_bin_3': 0.05810397490859032, 'redshifts/outlier_fraction_cata_bin_4': 0.06516290456056595, 'redshifts/outlier_fraction_cata_bin_5': 0.02029361017048359}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 46%|████▌ | 177/383 [8:15:53<9:44:17, 170.18s/it] " + " 11%|█ | 172/1563 [14:35<2:12:22, 5.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([34282.])\n", - "{'redshifts/mse': 0.2773036062717438}\n" + "total num of pts: tensor([11686.])\n", + "total num of pts: tensor([4223., 2880., 1194., 658., 403., 2328.])\n", + "{'redshifts/bias_abs': 0.07447163760662079, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09235771000385284, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.0230486448854208, 'redshifts/bias': 0.00468229316174984, 'redshifts/bias_bin_0': 0.030691716820001602, 'redshifts/bias_bin_1': 0.012880224734544754, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.3131512999534607, 'redshifts/mse_bin_0': 0.4399994909763336, 'redshifts/mse_bin_1': 0.36841902136802673, 'redshifts/mse_bin_2': 0.2594582140445709, 'redshifts/mse_bin_3': 0.21471154689788818, 'redshifts/mse_bin_4': 0.26635709404945374, 'redshifts/mse_bin_5': 0.07813945412635803, 'redshifts/nmad': 0.1108122169971466, 'redshifts/nmad_bin_0': 0.211231991648674, 'redshifts/nmad_bin_1': 0.139764204621315, 'redshifts/nmad_bin_2': 0.08563293516635895, 'redshifts/nmad_bin_3': 0.07058301568031311, 'redshifts/nmad_bin_4': 0.05967908725142479, 'redshifts/nmad_bin_5': 0.03455139324069023, 'redshifts/outlier_fraction': 0.32560327649116516, 'redshifts/outlier_fraction_bin_0': 0.49064645171165466, 'redshifts/outlier_fraction_bin_1': 0.35902777314186096, 'redshifts/outlier_fraction_bin_2': 0.24204355478286743, 'redshifts/outlier_fraction_bin_3': 0.19452887773513794, 'redshifts/outlier_fraction_bin_4': 0.16377171874046326, 'redshifts/outlier_fraction_bin_5': 0.09278350323438644, 'redshifts/outlier_fraction_cata': 0.08933766931295395, 'redshifts/outlier_fraction_cata_bin_0': 0.1281079798936844, 'redshifts/outlier_fraction_cata_bin_1': 0.1041666641831398, 'redshifts/outlier_fraction_cata_bin_2': 0.07705192267894745, 'redshifts/outlier_fraction_cata_bin_3': 0.05775076150894165, 'redshifts/outlier_fraction_cata_bin_4': 0.06451612710952759, 'redshifts/outlier_fraction_cata_bin_5': 0.02018900401890278}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 46%|████▋ | 178/383 [8:18:32<9:30:07, 166.87s/it]" + " 11%|█ | 173/1563 [14:40<2:06:00, 5.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([34480.])\n", - "{'redshifts/mse': 0.2776397466659546}\n" + "total num of pts: tensor([11740.])\n", + "total num of pts: tensor([4243., 2893., 1199., 660., 405., 2340.])\n", + "{'redshifts/bias_abs': 0.07443887740373611, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09238064289093018, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023093659430742264, 'redshifts/bias': 0.00468229316174984, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.01288911048322916, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.312990665435791, 'redshifts/mse_bin_0': 0.4397425651550293, 'redshifts/mse_bin_1': 0.3673478066921234, 'redshifts/mse_bin_2': 0.25861504673957825, 'redshifts/mse_bin_3': 0.21688960492610931, 'redshifts/mse_bin_4': 0.27319616079330444, 'redshifts/mse_bin_5': 0.07781057804822922, 'redshifts/nmad': 0.11076188087463379, 'redshifts/nmad_bin_0': 0.21118022501468658, 'redshifts/nmad_bin_1': 0.13977736234664917, 'redshifts/nmad_bin_2': 0.08565457910299301, 'redshifts/nmad_bin_3': 0.0707322433590889, 'redshifts/nmad_bin_4': 0.05967908725142479, 'redshifts/nmad_bin_5': 0.034606777131557465, 'redshifts/outlier_fraction': 0.3257240056991577, 'redshifts/outlier_fraction_bin_0': 0.49069055914878845, 'redshifts/outlier_fraction_bin_1': 0.3591427505016327, 'redshifts/outlier_fraction_bin_2': 0.24186822772026062, 'redshifts/outlier_fraction_bin_3': 0.19545455276966095, 'redshifts/outlier_fraction_bin_4': 0.16543209552764893, 'redshifts/outlier_fraction_bin_5': 0.09273504465818405, 'redshifts/outlier_fraction_cata': 0.08926746249198914, 'redshifts/outlier_fraction_cata_bin_0': 0.1279754936695099, 'redshifts/outlier_fraction_cata_bin_1': 0.10369858145713806, 'redshifts/outlier_fraction_cata_bin_2': 0.07673060894012451, 'redshifts/outlier_fraction_cata_bin_3': 0.059090908616781235, 'redshifts/outlier_fraction_cata_bin_4': 0.06666667014360428, 'redshifts/outlier_fraction_cata_bin_5': 0.020085470750927925}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 47%|████▋ | 179/383 [8:21:35<9:43:05, 171.50s/it]" + " 11%|█ | 174/1563 [14:45<2:03:18, 5.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([34659.])\n", - "{'redshifts/mse': 0.277694970369339}\n" + "total num of pts: tensor([11803.])\n", + "total num of pts: tensor([4264., 2909., 1204., 665., 406., 2355.])\n", + "{'redshifts/bias_abs': 0.07443887740373611, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02283289097249508, 'redshifts/bias': 0.004758944734930992, 'redshifts/bias_bin_0': 0.030691716820001602, 'redshifts/bias_bin_1': 0.012880224734544754, 'redshifts/bias_bin_2': 0.0008387637790292501, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.31277287006378174, 'redshifts/mse_bin_0': 0.4404301941394806, 'redshifts/mse_bin_1': 0.3661176860332489, 'redshifts/mse_bin_2': 0.25959157943725586, 'redshifts/mse_bin_3': 0.21542809903621674, 'redshifts/mse_bin_4': 0.27261844277381897, 'redshifts/mse_bin_5': 0.07734119147062302, 'redshifts/nmad': 0.11069857329130173, 'redshifts/nmad_bin_0': 0.21129953861236572, 'redshifts/nmad_bin_1': 0.13921327888965607, 'redshifts/nmad_bin_2': 0.08565464615821838, 'redshifts/nmad_bin_3': 0.0710320696234703, 'redshifts/nmad_bin_4': 0.05967908725142479, 'redshifts/nmad_bin_5': 0.034313227981328964, 'redshifts/outlier_fraction': 0.3255952000617981, 'redshifts/outlier_fraction_bin_0': 0.4910881817340851, 'redshifts/outlier_fraction_bin_1': 0.35819870233535767, 'redshifts/outlier_fraction_bin_2': 0.24335548281669617, 'redshifts/outlier_fraction_bin_3': 0.19548872113227844, 'redshifts/outlier_fraction_bin_4': 0.16502462327480316, 'redshifts/outlier_fraction_bin_5': 0.09214437007904053, 'redshifts/outlier_fraction_cata': 0.08929932862520218, 'redshifts/outlier_fraction_cata_bin_0': 0.12851782143115997, 'redshifts/outlier_fraction_cata_bin_1': 0.10312822461128235, 'redshifts/outlier_fraction_cata_bin_2': 0.07724252343177795, 'redshifts/outlier_fraction_cata_bin_3': 0.05864661559462547, 'redshifts/outlier_fraction_cata_bin_4': 0.06650245934724808, 'redshifts/outlier_fraction_cata_bin_5': 0.019957536831498146}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 47%|████▋ | 180/383 [8:24:30<9:44:17, 172.70s/it]" + " 11%|█ | 175/1563 [14:50<2:02:14, 5.28s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([34860.])\n", - "{'redshifts/mse': 0.2775800824165344}\n" + "total num of pts: tensor([11865.])\n", + "total num of pts: tensor([4281., 2932., 1212., 669., 407., 2364.])\n", + "{'redshifts/bias_abs': 0.0745978131890297, 'redshifts/bias_abs_bin_0': 0.1457652896642685, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.022816698998212814, 'redshifts/bias': 0.00468229316174984, 'redshifts/bias_bin_0': 0.030691716820001602, 'redshifts/bias_bin_1': 0.012880224734544754, 'redshifts/bias_bin_2': 0.0008344720117747784, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.3129797577857971, 'redshifts/mse_bin_0': 0.4413376450538635, 'redshifts/mse_bin_1': 0.36585626006126404, 'redshifts/mse_bin_2': 0.2583615779876709, 'redshifts/mse_bin_3': 0.2148309350013733, 'redshifts/mse_bin_4': 0.2759142518043518, 'redshifts/mse_bin_5': 0.07711369544267654, 'redshifts/nmad': 0.11098276078701019, 'redshifts/nmad_bin_0': 0.21184445917606354, 'redshifts/nmad_bin_1': 0.13916845619678497, 'redshifts/nmad_bin_2': 0.08565457910299301, 'redshifts/nmad_bin_3': 0.07182233035564423, 'redshifts/nmad_bin_4': 0.060133520513772964, 'redshifts/nmad_bin_5': 0.03422682732343674, 'redshifts/outlier_fraction': 0.3258322775363922, 'redshifts/outlier_fraction_bin_0': 0.4914739429950714, 'redshifts/outlier_fraction_bin_1': 0.35879945755004883, 'redshifts/outlier_fraction_bin_2': 0.24257425963878632, 'redshifts/outlier_fraction_bin_3': 0.19581465423107147, 'redshifts/outlier_fraction_bin_4': 0.16707617044448853, 'redshifts/outlier_fraction_bin_5': 0.09179356694221497, 'redshifts/outlier_fraction_cata': 0.08916983008384705, 'redshifts/outlier_fraction_cata_bin_0': 0.1284746527671814, 'redshifts/outlier_fraction_cata_bin_1': 0.10266029834747314, 'redshifts/outlier_fraction_cata_bin_2': 0.07673267275094986, 'redshifts/outlier_fraction_cata_bin_3': 0.05829596519470215, 'redshifts/outlier_fraction_cata_bin_4': 0.0687960684299469, 'redshifts/outlier_fraction_cata_bin_5': 0.019881555810570717}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 47%|████▋ | 181/383 [8:27:20<9:38:43, 171.90s/it]" + " 11%|█▏ | 176/1563 [14:55<2:02:30, 5.30s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([35070.])\n", - "{'redshifts/mse': 0.27738621830940247}\n" + "total num of pts: tensor([11929.])\n", + "total num of pts: tensor([4302., 2948., 1219., 672., 410., 2378.])\n", + "{'redshifts/bias_abs': 0.07465658336877823, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02283289097249508, 'redshifts/bias': 0.004509334452450275, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.01265308540314436, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013427960220724344, 'redshifts/mse': 0.3126120865345001, 'redshifts/mse_bin_0': 0.44110608100891113, 'redshifts/mse_bin_1': 0.3654491901397705, 'redshifts/mse_bin_2': 0.2573678195476532, 'redshifts/mse_bin_3': 0.21422576904296875, 'redshifts/mse_bin_4': 0.27803775668144226, 'redshifts/mse_bin_5': 0.07673764228820801, 'redshifts/nmad': 0.1110062301158905, 'redshifts/nmad_bin_0': 0.21101565659046173, 'redshifts/nmad_bin_1': 0.13879448175430298, 'redshifts/nmad_bin_2': 0.08573175966739655, 'redshifts/nmad_bin_3': 0.07182233035564423, 'redshifts/nmad_bin_4': 0.059675417840480804, 'redshifts/nmad_bin_5': 0.03438589721918106, 'redshifts/outlier_fraction': 0.325509250164032, 'redshifts/outlier_fraction_bin_0': 0.49093446135520935, 'redshifts/outlier_fraction_bin_1': 0.35820895433425903, 'redshifts/outlier_fraction_bin_2': 0.24364233016967773, 'redshifts/outlier_fraction_bin_3': 0.1964285671710968, 'redshifts/outlier_fraction_bin_4': 0.16829268634319305, 'redshifts/outlier_fraction_bin_5': 0.09125315397977829, 'redshifts/outlier_fraction_cata': 0.08902674168348312, 'redshifts/outlier_fraction_cata_bin_0': 0.12831240892410278, 'redshifts/outlier_fraction_cata_bin_1': 0.10244233161211014, 'redshifts/outlier_fraction_cata_bin_2': 0.07629204541444778, 'redshifts/outlier_fraction_cata_bin_3': 0.0580357126891613, 'redshifts/outlier_fraction_cata_bin_4': 0.07073170691728592, 'redshifts/outlier_fraction_cata_bin_5': 0.019764507189393044}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 48%|████▊ | 182/383 [8:29:57<9:20:27, 167.30s/it]" + " 11%|█▏ | 177/1563 [15:01<2:06:56, 5.50s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([35273.])\n", - "{'redshifts/mse': 0.2774305045604706}\n" + "total num of pts: tensor([12004.])\n", + "total num of pts: tensor([4324., 2964., 1226., 675., 412., 2403.])\n", + "{'redshifts/bias_abs': 0.07458403706550598, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023049697279930115, 'redshifts/bias': 0.004509334452450275, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.01265308540314436, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.31191083788871765, 'redshifts/mse_bin_0': 0.4404278099536896, 'redshifts/mse_bin_1': 0.3642842173576355, 'redshifts/mse_bin_2': 0.25630614161491394, 'redshifts/mse_bin_3': 0.21343094110488892, 'redshifts/mse_bin_4': 0.27671438455581665, 'redshifts/mse_bin_5': 0.07812215387821198, 'redshifts/nmad': 0.11096110194921494, 'redshifts/nmad_bin_0': 0.21097815036773682, 'redshifts/nmad_bin_1': 0.13879448175430298, 'redshifts/nmad_bin_2': 0.08573175966739655, 'redshifts/nmad_bin_3': 0.07182233035564423, 'redshifts/nmad_bin_4': 0.05967908725142479, 'redshifts/nmad_bin_5': 0.03455139324069023, 'redshifts/outlier_fraction': 0.3251416087150574, 'redshifts/outlier_fraction_bin_0': 0.4909805655479431, 'redshifts/outlier_fraction_bin_1': 0.3579622209072113, 'redshifts/outlier_fraction_bin_2': 0.24306687712669373, 'redshifts/outlier_fraction_bin_3': 0.19555555284023285, 'redshifts/outlier_fraction_bin_4': 0.16747573018074036, 'redshifts/outlier_fraction_bin_5': 0.09155222773551941, 'redshifts/outlier_fraction_cata': 0.0887204259634018, 'redshifts/outlier_fraction_cata_bin_0': 0.12812210619449615, 'redshifts/outlier_fraction_cata_bin_1': 0.10188934206962585, 'redshifts/outlier_fraction_cata_bin_2': 0.07585644721984863, 'redshifts/outlier_fraction_cata_bin_3': 0.057777777314186096, 'redshifts/outlier_fraction_cata_bin_4': 0.07038834691047668, 'redshifts/outlier_fraction_cata_bin_5': 0.019975030794739723}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 48%|████▊ | 183/383 [8:32:43<9:16:41, 167.01s/it]" + " 11%|█▏ | 178/1563 [15:07<2:10:43, 5.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([35475.])\n", - "{'redshifts/mse': 0.2776359021663666}\n" + "total num of pts: tensor([12064.])\n", + "total num of pts: tensor([4346., 2979., 1231., 677., 417., 2414.])\n", + "{'redshifts/bias_abs': 0.07449917495250702, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023049697279930115, 'redshifts/bias': 0.0044107139110565186, 'redshifts/bias_bin_0': 0.030004778876900673, 'redshifts/bias_bin_1': 0.012598775327205658, 'redshifts/bias_bin_2': 0.0006675684126093984, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.004932268522679806, 'redshifts/bias_bin_5': -0.0013640722027048469, 'redshifts/mse': 0.3114238977432251, 'redshifts/mse_bin_0': 0.4400845468044281, 'redshifts/mse_bin_1': 0.36341241002082825, 'redshifts/mse_bin_2': 0.25545817613601685, 'redshifts/mse_bin_3': 0.21281059086322784, 'redshifts/mse_bin_4': 0.27359744906425476, 'redshifts/mse_bin_5': 0.07836579531431198, 'redshifts/nmad': 0.11091825366020203, 'redshifts/nmad_bin_0': 0.2113422304391861, 'redshifts/nmad_bin_1': 0.13871397078037262, 'redshifts/nmad_bin_2': 0.08590845763683319, 'redshifts/nmad_bin_3': 0.07158967107534409, 'redshifts/nmad_bin_4': 0.059866394847631454, 'redshifts/nmad_bin_5': 0.03445826470851898, 'redshifts/outlier_fraction': 0.3249336779117584, 'redshifts/outlier_fraction_bin_0': 0.49056604504585266, 'redshifts/outlier_fraction_bin_1': 0.3575025200843811, 'redshifts/outlier_fraction_bin_2': 0.24289195239543915, 'redshifts/outlier_fraction_bin_3': 0.19497784972190857, 'redshifts/outlier_fraction_bin_4': 0.16786570847034454, 'redshifts/outlier_fraction_bin_5': 0.09196354448795319, 'redshifts/outlier_fraction_cata': 0.08869363367557526, 'redshifts/outlier_fraction_cata_bin_0': 0.12816382944583893, 'redshifts/outlier_fraction_cata_bin_1': 0.10171198099851608, 'redshifts/outlier_fraction_cata_bin_2': 0.07554833590984344, 'redshifts/outlier_fraction_cata_bin_3': 0.05760709196329117, 'redshifts/outlier_fraction_cata_bin_4': 0.06954436749219894, 'redshifts/outlier_fraction_cata_bin_5': 0.02029825933277607}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 48%|████▊ | 184/383 [8:35:24<9:07:57, 165.21s/it]" + " 11%|█▏ | 179/1563 [15:13<2:10:16, 5.65s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([35684.])\n", - "{'redshifts/mse': 0.27794528007507324}\n" + "total num of pts: tensor([12105.])\n", + "total num of pts: tensor([4356., 2995., 1234., 679., 418., 2423.])\n", + "{'redshifts/bias_abs': 0.074709452688694, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023126855492591858, 'redshifts/bias': 0.004475842695683241, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.012420914135873318, 'redshifts/bias_bin_2': 0.0005582523299381137, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013427960220724344, 'redshifts/mse': 0.3121661841869354, 'redshifts/mse_bin_0': 0.44040781259536743, 'redshifts/mse_bin_1': 0.3639385998249054, 'redshifts/mse_bin_2': 0.2548629641532898, 'redshifts/mse_bin_3': 0.2239157110452652, 'redshifts/mse_bin_4': 0.2730817198753357, 'redshifts/mse_bin_5': 0.07828028500080109, 'redshifts/nmad': 0.11115723848342896, 'redshifts/nmad_bin_0': 0.21105855703353882, 'redshifts/nmad_bin_1': 0.1390165537595749, 'redshifts/nmad_bin_2': 0.08552803844213486, 'redshifts/nmad_bin_3': 0.07158967107534409, 'redshifts/nmad_bin_4': 0.05967908725142479, 'redshifts/nmad_bin_5': 0.034500349313020706, 'redshifts/outlier_fraction': 0.32540273666381836, 'redshifts/outlier_fraction_bin_0': 0.49058768153190613, 'redshifts/outlier_fraction_bin_1': 0.35859766602516174, 'redshifts/outlier_fraction_bin_2': 0.24230146408081055, 'redshifts/outlier_fraction_bin_3': 0.19587628543376923, 'redshifts/outlier_fraction_bin_4': 0.169856458902359, 'redshifts/outlier_fraction_bin_5': 0.09286008775234222, 'redshifts/outlier_fraction_cata': 0.08888889104127884, 'redshifts/outlier_fraction_cata_bin_0': 0.12832874059677124, 'redshifts/outlier_fraction_cata_bin_1': 0.10217028111219406, 'redshifts/outlier_fraction_cata_bin_2': 0.07536466419696808, 'redshifts/outlier_fraction_cata_bin_3': 0.05891016125679016, 'redshifts/outlier_fraction_cata_bin_4': 0.06937798857688904, 'redshifts/outlier_fraction_cata_bin_5': 0.020222865045070648}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 48%|████▊ | 185/383 [8:38:01<8:57:02, 162.74s/it]" + " 12%|█▏ | 180/1563 [15:20<2:16:32, 5.92s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([35898.])\n", - "{'redshifts/mse': 0.27842745184898376}\n" + "total num of pts: tensor([12154.])\n", + "total num of pts: tensor([4367., 3011., 1240., 681., 419., 2436.])\n", + "{'redshifts/bias_abs': 0.07465658336877823, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.023126855492591858, 'redshifts/bias': 0.004402677062898874, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.012078119441866875, 'redshifts/bias_bin_2': 0.0005582523299381137, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013778588036075234, 'redshifts/mse': 0.3128169775009155, 'redshifts/mse_bin_0': 0.44096776843070984, 'redshifts/mse_bin_1': 0.3657187521457672, 'redshifts/mse_bin_2': 0.25397875905036926, 'redshifts/mse_bin_3': 0.2232675850391388, 'redshifts/mse_bin_4': 0.28207066655158997, 'redshifts/mse_bin_5': 0.07796713709831238, 'redshifts/nmad': 0.1110226958990097, 'redshifts/nmad_bin_0': 0.2117251306772232, 'redshifts/nmad_bin_1': 0.13866132497787476, 'redshifts/nmad_bin_2': 0.08552803844213486, 'redshifts/nmad_bin_3': 0.07113587856292725, 'redshifts/nmad_bin_4': 0.060133520513772964, 'redshifts/nmad_bin_5': 0.034545041620731354, 'redshifts/outlier_fraction': 0.32532498240470886, 'redshifts/outlier_fraction_bin_0': 0.49072590470314026, 'redshifts/outlier_fraction_bin_1': 0.3583527207374573, 'redshifts/outlier_fraction_bin_2': 0.24274194240570068, 'redshifts/outlier_fraction_bin_3': 0.19530102610588074, 'redshifts/outlier_fraction_bin_4': 0.1718377023935318, 'redshifts/outlier_fraction_bin_5': 0.09277503937482834, 'redshifts/outlier_fraction_cata': 0.08918874710798264, 'redshifts/outlier_fraction_cata_bin_0': 0.12892144918441772, 'redshifts/outlier_fraction_cata_bin_1': 0.10262371599674225, 'redshifts/outlier_fraction_cata_bin_2': 0.07500000298023224, 'redshifts/outlier_fraction_cata_bin_3': 0.05873715132474899, 'redshifts/outlier_fraction_cata_bin_4': 0.07159904390573502, 'redshifts/outlier_fraction_cata_bin_5': 0.020114943385124207}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 49%|████▊ | 186/383 [8:40:43<8:53:31, 162.49s/it]" + " 12%|█▏ | 181/1563 [15:24<2:03:02, 5.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([36112.])\n", - "{'redshifts/mse': 0.2783653736114502}\n" + "total num of pts: tensor([12220.])\n", + "total num of pts: tensor([4394., 3025., 1249., 681., 422., 2449.])\n", + "{'redshifts/bias_abs': 0.07466590404510498, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09230463206768036, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023155398666858673, 'redshifts/bias': 0.00447638938203454, 'redshifts/bias_bin_0': 0.030956003814935684, 'redshifts/bias_bin_1': 0.012078119441866875, 'redshifts/bias_bin_2': 0.0005582523299381137, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013640722027048469, 'redshifts/mse': 0.31298092007637024, 'redshifts/mse_bin_0': 0.4416966140270233, 'redshifts/mse_bin_1': 0.3661636412143707, 'redshifts/mse_bin_2': 0.25275999307632446, 'redshifts/mse_bin_3': 0.2232675850391388, 'redshifts/mse_bin_4': 0.2800769805908203, 'redshifts/mse_bin_5': 0.07767833024263382, 'redshifts/nmad': 0.11108291894197464, 'redshifts/nmad_bin_0': 0.21169137954711914, 'redshifts/nmad_bin_1': 0.13862499594688416, 'redshifts/nmad_bin_2': 0.08551273494958878, 'redshifts/nmad_bin_3': 0.07113587856292725, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.034610897302627563, 'redshifts/outlier_fraction': 0.3252864181995392, 'redshifts/outlier_fraction_bin_0': 0.4911242723464966, 'redshifts/outlier_fraction_bin_1': 0.35768595337867737, 'redshifts/outlier_fraction_bin_2': 0.24259407818317413, 'redshifts/outlier_fraction_bin_3': 0.19530102610588074, 'redshifts/outlier_fraction_bin_4': 0.17061612010002136, 'redshifts/outlier_fraction_bin_5': 0.09269089251756668, 'redshifts/outlier_fraction_cata': 0.08927986770868301, 'redshifts/outlier_fraction_cata_bin_0': 0.12926718592643738, 'redshifts/outlier_fraction_cata_bin_1': 0.10280992090702057, 'redshifts/outlier_fraction_cata_bin_2': 0.07445956766605377, 'redshifts/outlier_fraction_cata_bin_3': 0.05873715132474899, 'redshifts/outlier_fraction_cata_bin_4': 0.07109005004167557, 'redshifts/outlier_fraction_cata_bin_5': 0.020008167251944542}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 49%|████▉ | 187/383 [8:43:24<8:49:31, 162.10s/it]" + " 12%|█▏ | 182/1563 [15:27<1:51:48, 4.86s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([36322.])\n", - "{'redshifts/mse': 0.27874600887298584}\n" + "total num of pts: tensor([12274.])\n", + "total num of pts: tensor([4409., 3036., 1258., 686., 423., 2462.])\n", + "{'redshifts/bias_abs': 0.07449917495250702, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09227078408002853, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.004476634785532951, 'redshifts/bias_bin_0': 0.03102152794599533, 'redshifts/bias_bin_1': 0.011772838421165943, 'redshifts/bias_bin_2': 0.000695660593919456, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013793964171782136, 'redshifts/mse': 0.3124046325683594, 'redshifts/mse_bin_0': 0.4408833384513855, 'redshifts/mse_bin_1': 0.36557719111442566, 'redshifts/mse_bin_2': 0.25433826446533203, 'redshifts/mse_bin_3': 0.22170430421829224, 'redshifts/mse_bin_4': 0.27942055463790894, 'redshifts/mse_bin_5': 0.07736318558454514, 'redshifts/nmad': 0.11091261357069016, 'redshifts/nmad_bin_0': 0.21178853511810303, 'redshifts/nmad_bin_1': 0.13812239468097687, 'redshifts/nmad_bin_2': 0.08571645617485046, 'redshifts/nmad_bin_3': 0.07062843441963196, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.034654852002859116, 'redshifts/outlier_fraction': 0.32491445541381836, 'redshifts/outlier_fraction_bin_0': 0.4908142387866974, 'redshifts/outlier_fraction_bin_1': 0.35737812519073486, 'redshifts/outlier_fraction_bin_2': 0.2424483299255371, 'redshifts/outlier_fraction_bin_3': 0.19387754797935486, 'redshifts/outlier_fraction_bin_4': 0.1702127605676651, 'redshifts/outlier_fraction_bin_5': 0.09301380813121796, 'redshifts/outlier_fraction_cata': 0.08913149684667587, 'redshifts/outlier_fraction_cata_bin_0': 0.1290542036294937, 'redshifts/outlier_fraction_cata_bin_1': 0.10276679694652557, 'redshifts/outlier_fraction_cata_bin_2': 0.07472178339958191, 'redshifts/outlier_fraction_cata_bin_3': 0.05830903723835945, 'redshifts/outlier_fraction_cata_bin_4': 0.07092198729515076, 'redshifts/outlier_fraction_cata_bin_5': 0.019902518019080162}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 49%|████▉ | 188/383 [8:46:10<8:50:19, 163.18s/it]" + " 12%|█▏ | 183/1563 [15:31<1:43:21, 4.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([36524.])\n", - "{'redshifts/mse': 0.2787007689476013}\n" + "total num of pts: tensor([12332.])\n", + "total num of pts: tensor([4435., 3045., 1264., 689., 426., 2473.])\n", + "{'redshifts/bias_abs': 0.074480339884758, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023199990391731262, 'redshifts/bias': 0.00447638938203454, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.011772838421165943, 'redshifts/bias_bin_2': 0.0005582523299381137, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013905868399888277, 'redshifts/mse': 0.31238722801208496, 'redshifts/mse_bin_0': 0.4411378502845764, 'redshifts/mse_bin_1': 0.3648730516433716, 'redshifts/mse_bin_2': 0.25320112705230713, 'redshifts/mse_bin_3': 0.22088029980659485, 'redshifts/mse_bin_4': 0.2784727215766907, 'redshifts/mse_bin_5': 0.07845290005207062, 'redshifts/nmad': 0.11088022589683533, 'redshifts/nmad_bin_0': 0.21223381161689758, 'redshifts/nmad_bin_1': 0.1380946934223175, 'redshifts/nmad_bin_2': 0.08527007699012756, 'redshifts/nmad_bin_3': 0.0707317516207695, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.03459582477807999, 'redshifts/outlier_fraction': 0.32484593987464905, 'redshifts/outlier_fraction_bin_0': 0.49109357595443726, 'redshifts/outlier_fraction_bin_1': 0.3566502332687378, 'redshifts/outlier_fraction_bin_2': 0.24129746854305267, 'redshifts/outlier_fraction_bin_3': 0.1930333822965622, 'redshifts/outlier_fraction_bin_4': 0.17136150598526, 'redshifts/outlier_fraction_bin_5': 0.09340881556272507, 'redshifts/outlier_fraction_cata': 0.08911774307489395, 'redshifts/outlier_fraction_cata_bin_0': 0.1291995495557785, 'redshifts/outlier_fraction_cata_bin_1': 0.10246305167675018, 'redshifts/outlier_fraction_cata_bin_2': 0.07436709105968475, 'redshifts/outlier_fraction_cata_bin_3': 0.058055151253938675, 'redshifts/outlier_fraction_cata_bin_4': 0.07042253762483597, 'redshifts/outlier_fraction_cata_bin_5': 0.02021835744380951}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 49%|████▉ | 189/383 [8:48:47<8:41:40, 161.34s/it]" + " 12%|█▏ | 184/1563 [15:35<1:39:24, 4.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([36707.])\n", - "{'redshifts/mse': 0.27902624011039734}\n" + "total num of pts: tensor([12397.])\n", + "total num of pts: tensor([4460., 3060., 1274., 693., 426., 2484.])\n", + "{'redshifts/bias_abs': 0.07449917495250702, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.057129621505737305, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.004531383514404297, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.011862937361001968, 'redshifts/bias_bin_2': 0.0003772096533793956, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013905868399888277, 'redshifts/mse': 0.31152990460395813, 'redshifts/mse_bin_0': 0.44014135003089905, 'redshifts/mse_bin_1': 0.36387473344802856, 'redshifts/mse_bin_2': 0.25156357884407043, 'redshifts/mse_bin_3': 0.2196977436542511, 'redshifts/mse_bin_4': 0.2784727215766907, 'redshifts/mse_bin_5': 0.07817208766937256, 'redshifts/nmad': 0.11084533482789993, 'redshifts/nmad_bin_0': 0.21205371618270874, 'redshifts/nmad_bin_1': 0.1381235271692276, 'redshifts/nmad_bin_2': 0.08497664332389832, 'redshifts/nmad_bin_3': 0.07099726051092148, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.03459582477807999, 'redshifts/outlier_fraction': 0.324594646692276, 'redshifts/outlier_fraction_bin_0': 0.49035874009132385, 'redshifts/outlier_fraction_bin_1': 0.356535941362381, 'redshifts/outlier_fraction_bin_2': 0.2409733086824417, 'redshifts/outlier_fraction_bin_3': 0.19191919267177582, 'redshifts/outlier_fraction_bin_4': 0.17136150598526, 'redshifts/outlier_fraction_bin_5': 0.09380032122135162, 'redshifts/outlier_fraction_cata': 0.08897314220666885, 'redshifts/outlier_fraction_cata_bin_0': 0.1291479766368866, 'redshifts/outlier_fraction_cata_bin_1': 0.10228758305311203, 'redshifts/outlier_fraction_cata_bin_2': 0.07378336042165756, 'redshifts/outlier_fraction_cata_bin_3': 0.05772005766630173, 'redshifts/outlier_fraction_cata_bin_4': 0.07042253762483597, 'redshifts/outlier_fraction_cata_bin_5': 0.020128823816776276}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 50%|████▉ | 190/383 [8:51:23<8:33:21, 159.59s/it]" + " 12%|█▏ | 185/1563 [15:40<1:42:20, 4.46s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([36889.])\n", - "{'redshifts/mse': 0.27914342284202576}\n" + "total num of pts: tensor([12450.])\n", + "total num of pts: tensor([4483., 3068., 1277., 696., 428., 2498.])\n", + "{'redshifts/bias_abs': 0.07449917495250702, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.057129621505737305, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.004475842695683241, 'redshifts/bias_bin_0': 0.030691716820001602, 'redshifts/bias_bin_1': 0.011862937361001968, 'redshifts/bias_bin_2': 0.0005419719382189214, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014216684503480792, 'redshifts/mse': 0.31196585297584534, 'redshifts/mse_bin_0': 0.4393100440502167, 'redshifts/mse_bin_1': 0.3646032512187958, 'redshifts/mse_bin_2': 0.25120478868484497, 'redshifts/mse_bin_3': 0.222582146525383, 'redshifts/mse_bin_4': 0.2828601002693176, 'redshifts/mse_bin_5': 0.07973485440015793, 'redshifts/nmad': 0.11087941378355026, 'redshifts/nmad_bin_0': 0.21184445917606354, 'redshifts/nmad_bin_1': 0.1381235271692276, 'redshifts/nmad_bin_2': 0.08521056175231934, 'redshifts/nmad_bin_3': 0.07158967107534409, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.03474888578057289, 'redshifts/outlier_fraction': 0.32481926679611206, 'redshifts/outlier_fraction_bin_0': 0.4902966618537903, 'redshifts/outlier_fraction_bin_1': 0.3565841019153595, 'redshifts/outlier_fraction_bin_2': 0.24119028449058533, 'redshifts/outlier_fraction_bin_3': 0.19396552443504333, 'redshifts/outlier_fraction_bin_4': 0.17289718985557556, 'redshifts/outlier_fraction_bin_5': 0.0940752625465393, 'redshifts/outlier_fraction_cata': 0.0891566276550293, 'redshifts/outlier_fraction_cata_bin_0': 0.12893152236938477, 'redshifts/outlier_fraction_cata_bin_1': 0.1026727482676506, 'redshifts/outlier_fraction_cata_bin_2': 0.07361002266407013, 'redshifts/outlier_fraction_cata_bin_3': 0.058908045291900635, 'redshifts/outlier_fraction_cata_bin_4': 0.07242990285158157, 'redshifts/outlier_fraction_cata_bin_5': 0.02041633240878582}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 50%|████▉ | 191/383 [8:53:56<8:24:51, 157.77s/it]" + " 12%|█▏ | 186/1563 [15:44<1:43:29, 4.51s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([37066.])\n", - "{'redshifts/mse': 0.2793019413948059}\n" + "total num of pts: tensor([12495.])\n", + "total num of pts: tensor([4499., 3079., 1281., 697., 429., 2510.])\n", + "{'redshifts/bias_abs': 0.07443887740373611, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.057129621505737305, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.004402677062898874, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.011862937361001968, 'redshifts/bias_bin_2': 0.0005419719382189214, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.004932268522679806, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.31144046783447266, 'redshifts/mse_bin_0': 0.4384080469608307, 'redshifts/mse_bin_1': 0.3635878264904022, 'redshifts/mse_bin_2': 0.25318005681037903, 'redshifts/mse_bin_3': 0.22226931154727936, 'redshifts/mse_bin_4': 0.2822030782699585, 'redshifts/mse_bin_5': 0.07938476651906967, 'redshifts/nmad': 0.11084809899330139, 'redshifts/nmad_bin_0': 0.21160347759723663, 'redshifts/nmad_bin_1': 0.1381235271692276, 'redshifts/nmad_bin_2': 0.08521056175231934, 'redshifts/nmad_bin_3': 0.07158967107534409, 'redshifts/nmad_bin_4': 0.059821050614118576, 'redshifts/nmad_bin_5': 0.03486395999789238, 'redshifts/outlier_fraction': 0.32452982664108276, 'redshifts/outlier_fraction_bin_0': 0.48988664150238037, 'redshifts/outlier_fraction_bin_1': 0.356284499168396, 'redshifts/outlier_fraction_bin_2': 0.24199843406677246, 'redshifts/outlier_fraction_bin_3': 0.19368723034858704, 'redshifts/outlier_fraction_bin_4': 0.17249417304992676, 'redshifts/outlier_fraction_bin_5': 0.0936255007982254, 'redshifts/outlier_fraction_cata': 0.08907563239336014, 'redshifts/outlier_fraction_cata_bin_0': 0.1286952644586563, 'redshifts/outlier_fraction_cata_bin_1': 0.10230594128370285, 'redshifts/outlier_fraction_cata_bin_2': 0.07494144886732101, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.07226107269525528, 'redshifts/outlier_fraction_cata_bin_5': 0.02031872421503067}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 50%|█████ | 192/383 [8:56:33<8:20:59, 157.38s/it]" + " 12%|█▏ | 187/1563 [15:50<1:53:29, 4.95s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([37252.])\n", - "{'redshifts/mse': 0.2793755531311035}\n" + "total num of pts: tensor([12550.])\n", + "total num of pts: tensor([4519., 3092., 1288., 699., 430., 2522.])\n", + "{'redshifts/bias_abs': 0.07443887740373611, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.057129621505737305, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.004318909253925085, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.011691421270370483, 'redshifts/bias_bin_2': -0.00019212561892345548, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.3117368817329407, 'redshifts/mse_bin_0': 0.43849095702171326, 'redshifts/mse_bin_1': 0.36421915888786316, 'redshifts/mse_bin_2': 0.2551761269569397, 'redshifts/mse_bin_3': 0.22169557213783264, 'redshifts/mse_bin_4': 0.2815477252006531, 'redshifts/mse_bin_5': 0.07926096022129059, 'redshifts/nmad': 0.11084717512130737, 'redshifts/nmad_bin_0': 0.21221096813678741, 'redshifts/nmad_bin_1': 0.13793501257896423, 'redshifts/nmad_bin_2': 0.08454974740743637, 'redshifts/nmad_bin_3': 0.07148585468530655, 'redshifts/nmad_bin_4': 0.05933793634176254, 'redshifts/nmad_bin_5': 0.03487399220466614, 'redshifts/outlier_fraction': 0.3247808814048767, 'redshifts/outlier_fraction_bin_0': 0.4905952513217926, 'redshifts/outlier_fraction_bin_1': 0.3554333746433258, 'redshifts/outlier_fraction_bin_2': 0.24378882348537445, 'redshifts/outlier_fraction_bin_3': 0.19313304126262665, 'redshifts/outlier_fraction_bin_4': 0.17209301888942719, 'redshifts/outlier_fraction_bin_5': 0.09397304058074951, 'redshifts/outlier_fraction_cata': 0.08924302458763123, 'redshifts/outlier_fraction_cata_bin_0': 0.12901084125041962, 'redshifts/outlier_fraction_cata_bin_1': 0.10252264142036438, 'redshifts/outlier_fraction_cata_bin_2': 0.07531055808067322, 'redshifts/outlier_fraction_cata_bin_3': 0.05865522101521492, 'redshifts/outlier_fraction_cata_bin_4': 0.07209302484989166, 'redshifts/outlier_fraction_cata_bin_5': 0.020222045481204987}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 50%|█████ | 193/383 [8:59:13<8:21:20, 158.32s/it]" + " 12%|█▏ | 188/1563 [15:57<2:03:17, 5.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([37436.])\n", - "{'redshifts/mse': 0.2794560492038727}\n" + "total num of pts: tensor([12598.])\n", + "total num of pts: tensor([4537., 3105., 1293., 700., 431., 2532.])\n", + "{'redshifts/bias_abs': 0.0744270533323288, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09204958379268646, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.012087547220289707, 'redshifts/bias_bin_2': -0.00019212561892345548, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014216684503480792, 'redshifts/mse': 0.311722993850708, 'redshifts/mse_bin_0': 0.43837571144104004, 'redshifts/mse_bin_1': 0.3633424639701843, 'redshifts/mse_bin_2': 0.2583214044570923, 'redshifts/mse_bin_3': 0.22138085961341858, 'redshifts/mse_bin_4': 0.2809046506881714, 'redshifts/mse_bin_5': 0.07897023856639862, 'redshifts/nmad': 0.11076527833938599, 'redshifts/nmad_bin_0': 0.21221096813678741, 'redshifts/nmad_bin_1': 0.13795602321624756, 'redshifts/nmad_bin_2': 0.0851161852478981, 'redshifts/nmad_bin_3': 0.0710320696234703, 'redshifts/nmad_bin_4': 0.05933793634176254, 'redshifts/nmad_bin_5': 0.03474888578057289, 'redshifts/outlier_fraction': 0.324734091758728, 'redshifts/outlier_fraction_bin_0': 0.490632563829422, 'redshifts/outlier_fraction_bin_1': 0.3549114465713501, 'redshifts/outlier_fraction_bin_2': 0.24439288675785065, 'redshifts/outlier_fraction_bin_3': 0.19285714626312256, 'redshifts/outlier_fraction_bin_4': 0.17169374227523804, 'redshifts/outlier_fraction_bin_5': 0.09399683773517609, 'redshifts/outlier_fraction_cata': 0.0891411304473877, 'redshifts/outlier_fraction_cata_bin_0': 0.12893982231616974, 'redshifts/outlier_fraction_cata_bin_1': 0.1020933985710144, 'redshifts/outlier_fraction_cata_bin_2': 0.07579272985458374, 'redshifts/outlier_fraction_cata_bin_3': 0.058571428060531616, 'redshifts/outlier_fraction_cata_bin_4': 0.07192575186491013, 'redshifts/outlier_fraction_cata_bin_5': 0.02014218084514141}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 51%|█████ | 194/383 [9:02:03<8:29:52, 161.87s/it]" + " 12%|█▏ | 189/1563 [16:02<2:02:53, 5.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([37636.])\n", - "{'redshifts/mse': 0.2794688940048218}\n" + "total num of pts: tensor([12658.])\n", + "total num of pts: tensor([4558., 3113., 1301., 704., 431., 2551.])\n", + "{'redshifts/bias_abs': 0.07449917495250702, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.03015417791903019, 'redshifts/bias_bin_1': 0.011862937361001968, 'redshifts/bias_bin_2': -0.0004787714860867709, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014216684503480792, 'redshifts/mse': 0.3117326498031616, 'redshifts/mse_bin_0': 0.4379880428314209, 'redshifts/mse_bin_1': 0.3628644645214081, 'redshifts/mse_bin_2': 0.26219308376312256, 'redshifts/mse_bin_3': 0.22243577241897583, 'redshifts/mse_bin_4': 0.2809046506881714, 'redshifts/mse_bin_5': 0.07886648923158646, 'redshifts/nmad': 0.11096414923667908, 'redshifts/nmad_bin_0': 0.21112072467803955, 'redshifts/nmad_bin_1': 0.1381235271692276, 'redshifts/nmad_bin_2': 0.0854686051607132, 'redshifts/nmad_bin_3': 0.07113587856292725, 'redshifts/nmad_bin_4': 0.05933793634176254, 'redshifts/nmad_bin_5': 0.03478609398007393, 'redshifts/outlier_fraction': 0.32509085536003113, 'redshifts/outlier_fraction_bin_0': 0.49012723565101624, 'redshifts/outlier_fraction_bin_1': 0.35528430342674255, 'redshifts/outlier_fraction_bin_2': 0.2475019246339798, 'redshifts/outlier_fraction_bin_3': 0.19460226595401764, 'redshifts/outlier_fraction_bin_4': 0.17169374227523804, 'redshifts/outlier_fraction_bin_5': 0.09486475586891174, 'redshifts/outlier_fraction_cata': 0.08911360055208206, 'redshifts/outlier_fraction_cata_bin_0': 0.12878455221652985, 'redshifts/outlier_fraction_cata_bin_1': 0.10183103382587433, 'redshifts/outlier_fraction_cata_bin_2': 0.0776325911283493, 'redshifts/outlier_fraction_cata_bin_3': 0.05823863670229912, 'redshifts/outlier_fraction_cata_bin_4': 0.07192575186491013, 'redshifts/outlier_fraction_cata_bin_5': 0.01999215967953205}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 51%|█████ | 195/383 [9:04:45<8:26:56, 161.79s/it]" + " 12%|█▏ | 190/1563 [16:06<1:55:55, 5.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([37850.])\n", - "{'redshifts/mse': 0.2795233726501465}\n" + "total num of pts: tensor([12727.])\n", + "total num of pts: tensor([4590., 3129., 1310., 705., 433., 2560.])\n", + "{'redshifts/bias_abs': 0.07442748546600342, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.057129621505737305, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.004318541381508112, 'redshifts/bias_bin_0': 0.0296764113008976, 'redshifts/bias_bin_1': 0.012078119441866875, 'redshifts/bias_bin_2': -0.0012994504068046808, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.31100326776504517, 'redshifts/mse_bin_0': 0.4363284707069397, 'redshifts/mse_bin_1': 0.36227893829345703, 'redshifts/mse_bin_2': 0.2606068551540375, 'redshifts/mse_bin_3': 0.22212043404579163, 'redshifts/mse_bin_4': 0.2827564477920532, 'redshifts/mse_bin_5': 0.07867123931646347, 'redshifts/nmad': 0.11081452667713165, 'redshifts/nmad_bin_0': 0.2115512192249298, 'redshifts/nmad_bin_1': 0.13794204592704773, 'redshifts/nmad_bin_2': 0.08375012129545212, 'redshifts/nmad_bin_3': 0.0710320696234703, 'redshifts/nmad_bin_4': 0.05933793634176254, 'redshifts/nmad_bin_5': 0.034854691475629807, 'redshifts/outlier_fraction': 0.32466408610343933, 'redshifts/outlier_fraction_bin_0': 0.4888888895511627, 'redshifts/outlier_fraction_bin_1': 0.35474592447280884, 'redshifts/outlier_fraction_bin_2': 0.24656488001346588, 'redshifts/outlier_fraction_bin_3': 0.1943262368440628, 'redshifts/outlier_fraction_bin_4': 0.17321015894412994, 'redshifts/outlier_fraction_bin_5': 0.09492187201976776, 'redshifts/outlier_fraction_cata': 0.08902333676815033, 'redshifts/outlier_fraction_cata_bin_0': 0.12832243740558624, 'redshifts/outlier_fraction_cata_bin_1': 0.10194950550794601, 'redshifts/outlier_fraction_cata_bin_2': 0.07709923386573792, 'redshifts/outlier_fraction_cata_bin_3': 0.058156028389930725, 'redshifts/outlier_fraction_cata_bin_4': 0.07390300184488297, 'redshifts/outlier_fraction_cata_bin_5': 0.01992187462747097}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 51%|█████ | 196/383 [9:07:31<8:28:44, 163.23s/it]" + " 12%|█▏ | 191/1563 [16:11<1:51:51, 4.89s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([38056.])\n", - "{'redshifts/mse': 0.27924251556396484}\n" + "total num of pts: tensor([12784.])\n", + "total num of pts: tensor([4604., 3145., 1319., 709., 435., 2572.])\n", + "{'redshifts/bias_abs': 0.074480339884758, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.0042977421544492245, 'redshifts/bias_bin_0': 0.029807034879922867, 'redshifts/bias_bin_1': 0.012087547220289707, 'redshifts/bias_bin_2': -0.0017093498026952147, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.004932268522679806, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.31049132347106934, 'redshifts/mse_bin_0': 0.43602800369262695, 'redshifts/mse_bin_1': 0.36126187443733215, 'redshifts/mse_bin_2': 0.2596290707588196, 'redshifts/mse_bin_3': 0.22089922428131104, 'redshifts/mse_bin_4': 0.28146257996559143, 'redshifts/mse_bin_5': 0.07938418537378311, 'redshifts/nmad': 0.11089318990707397, 'redshifts/nmad_bin_0': 0.21130602061748505, 'redshifts/nmad_bin_1': 0.1379932314157486, 'redshifts/nmad_bin_2': 0.08427777886390686, 'redshifts/nmad_bin_3': 0.0707322433590889, 'redshifts/nmad_bin_4': 0.059025466442108154, 'redshifts/nmad_bin_5': 0.0349019393324852, 'redshifts/outlier_fraction': 0.32470273971557617, 'redshifts/outlier_fraction_bin_0': 0.48870548605918884, 'redshifts/outlier_fraction_bin_1': 0.3551669418811798, 'redshifts/outlier_fraction_bin_2': 0.2479150891304016, 'redshifts/outlier_fraction_bin_3': 0.19322989881038666, 'redshifts/outlier_fraction_bin_4': 0.17241379618644714, 'redshifts/outlier_fraction_bin_5': 0.09525661170482635, 'redshifts/outlier_fraction_cata': 0.08878285437822342, 'redshifts/outlier_fraction_cata_bin_0': 0.12814943492412567, 'redshifts/outlier_fraction_cata_bin_1': 0.10143084079027176, 'redshifts/outlier_fraction_cata_bin_2': 0.07657316327095032, 'redshifts/outlier_fraction_cata_bin_3': 0.05782792717218399, 'redshifts/outlier_fraction_cata_bin_4': 0.07356321811676025, 'redshifts/outlier_fraction_cata_bin_5': 0.02021772973239422}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 51%|█████▏ | 197/383 [9:10:15<8:26:27, 163.37s/it]" + " 12%|█▏ | 192/1563 [16:15<1:45:33, 4.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([38238.])\n", - "{'redshifts/mse': 0.2790345251560211}\n" + "total num of pts: tensor([12837.])\n", + "total num of pts: tensor([4624., 3154., 1325., 712., 437., 2585.])\n", + "{'redshifts/bias_abs': 0.07447163760662079, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004276425112038851, 'redshifts/bias_bin_0': 0.029807034879922867, 'redshifts/bias_bin_1': 0.012087547220289707, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.31010112166404724, 'redshifts/mse_bin_0': 0.43519726395606995, 'redshifts/mse_bin_1': 0.3605988621711731, 'redshifts/mse_bin_2': 0.2592349350452423, 'redshifts/mse_bin_3': 0.22012931108474731, 'redshifts/mse_bin_4': 0.2805681526660919, 'redshifts/mse_bin_5': 0.08056534081697464, 'redshifts/nmad': 0.11086158454418182, 'redshifts/nmad_bin_0': 0.21135756373405457, 'redshifts/nmad_bin_1': 0.1376810073852539, 'redshifts/nmad_bin_2': 0.08386743813753128, 'redshifts/nmad_bin_3': 0.07074188441038132, 'redshifts/nmad_bin_4': 0.05911866948008537, 'redshifts/nmad_bin_5': 0.03487399220466614, 'redshifts/outlier_fraction': 0.32460856437683105, 'redshifts/outlier_fraction_bin_0': 0.48832181096076965, 'redshifts/outlier_fraction_bin_1': 0.35478755831718445, 'redshifts/outlier_fraction_bin_2': 0.24754716455936432, 'redshifts/outlier_fraction_bin_3': 0.19522471725940704, 'redshifts/outlier_fraction_bin_4': 0.17391304671764374, 'redshifts/outlier_fraction_bin_5': 0.0955512598156929, 'redshifts/outlier_fraction_cata': 0.08864999562501907, 'redshifts/outlier_fraction_cata_bin_0': 0.12781141698360443, 'redshifts/outlier_fraction_cata_bin_1': 0.10114140808582306, 'redshifts/outlier_fraction_cata_bin_2': 0.07698113471269608, 'redshifts/outlier_fraction_cata_bin_3': 0.05758427083492279, 'redshifts/outlier_fraction_cata_bin_4': 0.07322654128074646, 'redshifts/outlier_fraction_cata_bin_5': 0.020502900704741478}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 52%|█████▏ | 198/383 [9:12:57<8:22:00, 162.81s/it]" + " 12%|█▏ | 193/1563 [16:19<1:40:30, 4.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([38440.])\n", - "{'redshifts/mse': 0.2791990637779236}\n" + "total num of pts: tensor([12887.])\n", + "total num of pts: tensor([4643., 3160., 1330., 718., 440., 2596.])\n", + "{'redshifts/bias_abs': 0.074454665184021, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004270642064511776, 'redshifts/bias_bin_0': 0.02966480143368244, 'redshifts/bias_bin_1': 0.012087547220289707, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0015163786010816693, 'redshifts/mse': 0.3101692795753479, 'redshifts/mse_bin_0': 0.43488073348999023, 'redshifts/mse_bin_1': 0.3606390058994293, 'redshifts/mse_bin_2': 0.2626175880432129, 'redshifts/mse_bin_3': 0.22021733224391937, 'redshifts/mse_bin_4': 0.2788313925266266, 'redshifts/mse_bin_5': 0.08023837953805923, 'redshifts/nmad': 0.11085300892591476, 'redshifts/nmad_bin_0': 0.21166449785232544, 'redshifts/nmad_bin_1': 0.1376810073852539, 'redshifts/nmad_bin_2': 0.08386743813753128, 'redshifts/nmad_bin_3': 0.07159930467605591, 'redshifts/nmad_bin_4': 0.059122342616319656, 'redshifts/nmad_bin_5': 0.03485609218478203, 'redshifts/outlier_fraction': 0.32459068298339844, 'redshifts/outlier_fraction_bin_0': 0.4882619082927704, 'redshifts/outlier_fraction_bin_1': 0.3550632894039154, 'redshifts/outlier_fraction_bin_2': 0.24812030792236328, 'redshifts/outlier_fraction_bin_3': 0.19637882709503174, 'redshifts/outlier_fraction_bin_4': 0.17272727191448212, 'redshifts/outlier_fraction_bin_5': 0.09514638036489487, 'redshifts/outlier_fraction_cata': 0.08869403600692749, 'redshifts/outlier_fraction_cata_bin_0': 0.12771914899349213, 'redshifts/outlier_fraction_cata_bin_1': 0.10126582533121109, 'redshifts/outlier_fraction_cata_bin_2': 0.07744360715150833, 'redshifts/outlier_fraction_cata_bin_3': 0.05849582329392433, 'redshifts/outlier_fraction_cata_bin_4': 0.072727270424366, 'redshifts/outlier_fraction_cata_bin_5': 0.020416025072336197}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 52%|█████▏ | 199/383 [9:15:45<8:24:39, 164.56s/it]" + " 12%|█▏ | 194/1563 [16:24<1:45:08, 4.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([38608.])\n", - "{'redshifts/mse': 0.27913007140159607}\n" + "total num of pts: tensor([12948.])\n", + "total num of pts: tensor([4671., 3178., 1333., 720., 441., 2605.])\n", + "{'redshifts/bias_abs': 0.0745978131890297, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004270642064511776, 'redshifts/bias_bin_0': 0.02966480143368244, 'redshifts/bias_bin_1': 0.011862937361001968, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.31106969714164734, 'redshifts/mse_bin_0': 0.4358414113521576, 'redshifts/mse_bin_1': 0.36255398392677307, 'redshifts/mse_bin_2': 0.2628462016582489, 'redshifts/mse_bin_3': 0.21961256861686707, 'redshifts/mse_bin_4': 0.2782897353172302, 'redshifts/mse_bin_5': 0.08003810793161392, 'redshifts/nmad': 0.11104429513216019, 'redshifts/nmad_bin_0': 0.21169306337833405, 'redshifts/nmad_bin_1': 0.13777033984661102, 'redshifts/nmad_bin_2': 0.08436091989278793, 'redshifts/nmad_bin_3': 0.07123607397079468, 'redshifts/nmad_bin_4': 0.05933793634176254, 'redshifts/nmad_bin_5': 0.03489070385694504, 'redshifts/outlier_fraction': 0.32522398233413696, 'redshifts/outlier_fraction_bin_0': 0.48854634165763855, 'redshifts/outlier_fraction_bin_1': 0.3558841943740845, 'redshifts/outlier_fraction_bin_2': 0.24906226992607117, 'redshifts/outlier_fraction_bin_3': 0.19583334028720856, 'redshifts/outlier_fraction_bin_4': 0.17233559489250183, 'redshifts/outlier_fraction_bin_5': 0.0955854132771492, 'redshifts/outlier_fraction_cata': 0.08897127211093903, 'redshifts/outlier_fraction_cata_bin_0': 0.12823806703090668, 'redshifts/outlier_fraction_cata_bin_1': 0.10163624584674835, 'redshifts/outlier_fraction_cata_bin_2': 0.07726931571960449, 'redshifts/outlier_fraction_cata_bin_3': 0.05833333358168602, 'redshifts/outlier_fraction_cata_bin_4': 0.07256235927343369, 'redshifts/outlier_fraction_cata_bin_5': 0.02034548856317997}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 52%|█████▏ | 200/383 [9:18:48<8:38:43, 170.07s/it]" + " 12%|█▏ | 195/1563 [16:29<1:49:31, 4.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([38820.])\n", - "{'redshifts/mse': 0.2793092727661133}\n" + "total num of pts: tensor([13012.])\n", + "total num of pts: tensor([4692., 3189., 1339., 724., 447., 2621.])\n", + "{'redshifts/bias_abs': 0.07440409064292908, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.0042977421544492245, 'redshifts/bias_bin_0': 0.029589658603072166, 'redshifts/bias_bin_1': 0.011862937361001968, 'redshifts/bias_bin_2': -0.0007208040333352983, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.3109365701675415, 'redshifts/mse_bin_0': 0.4357302486896515, 'redshifts/mse_bin_1': 0.36200186610221863, 'redshifts/mse_bin_2': 0.261690616607666, 'redshifts/mse_bin_3': 0.21915771067142487, 'redshifts/mse_bin_4': 0.28912273049354553, 'redshifts/mse_bin_5': 0.07963612675666809, 'redshifts/nmad': 0.11066412925720215, 'redshifts/nmad_bin_0': 0.2117963433265686, 'redshifts/nmad_bin_1': 0.1376602202653885, 'redshifts/nmad_bin_2': 0.0836317166686058, 'redshifts/nmad_bin_3': 0.07114551961421967, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.0349019393324852, 'redshifts/outlier_fraction': 0.32477712631225586, 'redshifts/outlier_fraction_bin_0': 0.4882779121398926, 'redshifts/outlier_fraction_bin_1': 0.3555973768234253, 'redshifts/outlier_fraction_bin_2': 0.24794623255729675, 'redshifts/outlier_fraction_bin_3': 0.1961326003074646, 'redshifts/outlier_fraction_bin_4': 0.17225950956344604, 'redshifts/outlier_fraction_bin_5': 0.09538344293832779, 'redshifts/outlier_fraction_cata': 0.08891791850328445, 'redshifts/outlier_fraction_cata_bin_0': 0.12830349802970886, 'redshifts/outlier_fraction_cata_bin_1': 0.10159924626350403, 'redshifts/outlier_fraction_cata_bin_2': 0.07692307978868484, 'redshifts/outlier_fraction_cata_bin_3': 0.05801105126738548, 'redshifts/outlier_fraction_cata_bin_4': 0.07382550090551376, 'redshifts/outlier_fraction_cata_bin_5': 0.0202212892472744}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 52%|█████▏ | 201/383 [9:21:31<8:29:40, 168.02s/it]" + " 13%|█▎ | 196/1563 [16:35<1:59:16, 5.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([39029.])\n", - "{'redshifts/mse': 0.2788919508457184}\n" + "total num of pts: tensor([13083.])\n", + "total num of pts: tensor([4719., 3203., 1346., 726., 448., 2641.])\n", + "{'redshifts/bias_abs': 0.0744270533323288, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09225116670131683, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004276425112038851, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.011691421270370483, 'redshifts/bias_bin_2': -0.0012994504068046808, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0015323403058573604, 'redshifts/mse': 0.3105519413948059, 'redshifts/mse_bin_0': 0.4351295232772827, 'redshifts/mse_bin_1': 0.3624876141548157, 'redshifts/mse_bin_2': 0.26094305515289307, 'redshifts/mse_bin_3': 0.21869540214538574, 'redshifts/mse_bin_4': 0.28847941756248474, 'redshifts/mse_bin_5': 0.07924562692642212, 'redshifts/nmad': 0.11066091805696487, 'redshifts/nmad_bin_0': 0.21127572655677795, 'redshifts/nmad_bin_1': 0.13765449821949005, 'redshifts/nmad_bin_2': 0.08349259942770004, 'redshifts/nmad_bin_3': 0.07114551961421967, 'redshifts/nmad_bin_4': 0.059341609477996826, 'redshifts/nmad_bin_5': 0.03495017811655998, 'redshifts/outlier_fraction': 0.32461974024772644, 'redshifts/outlier_fraction_bin_0': 0.4878152012825012, 'redshifts/outlier_fraction_bin_1': 0.3556041121482849, 'redshifts/outlier_fraction_bin_2': 0.24814264476299286, 'redshifts/outlier_fraction_bin_3': 0.19696970283985138, 'redshifts/outlier_fraction_bin_4': 0.171875, 'redshifts/outlier_fraction_bin_5': 0.09541840106248856, 'redshifts/outlier_fraction_cata': 0.08874111622571945, 'redshifts/outlier_fraction_cata_bin_0': 0.12820513546466827, 'redshifts/outlier_fraction_cata_bin_1': 0.10146737098693848, 'redshifts/outlier_fraction_cata_bin_2': 0.07652302831411362, 'redshifts/outlier_fraction_cata_bin_3': 0.057851240038871765, 'redshifts/outlier_fraction_cata_bin_4': 0.0736607164144516, 'redshifts/outlier_fraction_cata_bin_5': 0.020068155601620674}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 53%|█████▎ | 202/383 [9:24:09<8:17:02, 164.77s/it]" + " 13%|█▎ | 197/1563 [16:41<2:03:58, 5.45s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([39219.])\n", - "{'redshifts/mse': 0.2791582942008972}\n" + "total num of pts: tensor([13154.])\n", + "total num of pts: tensor([4740., 3222., 1357., 729., 449., 2657.])\n", + "{'redshifts/bias_abs': 0.07436021417379379, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.004276101943105459, 'redshifts/bias_bin_0': 0.0296764113008976, 'redshifts/bias_bin_1': 0.011772838421165943, 'redshifts/bias_bin_2': -0.0012994504068046808, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0015323403058573604, 'redshifts/mse': 0.31028687953948975, 'redshifts/mse_bin_0': 0.4350496232509613, 'redshifts/mse_bin_1': 0.36270061135292053, 'redshifts/mse_bin_2': 0.2603228688240051, 'redshifts/mse_bin_3': 0.21780285239219666, 'redshifts/mse_bin_4': 0.2878657877445221, 'redshifts/mse_bin_5': 0.07883740961551666, 'redshifts/nmad': 0.1103687435388565, 'redshifts/nmad_bin_0': 0.2111271768808365, 'redshifts/nmad_bin_1': 0.13765758275985718, 'redshifts/nmad_bin_2': 0.08277380466461182, 'redshifts/nmad_bin_3': 0.07062843441963196, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.034912966191768646, 'redshifts/outlier_fraction': 0.3242359757423401, 'redshifts/outlier_fraction_bin_0': 0.4875527322292328, 'redshifts/outlier_fraction_bin_1': 0.3556796908378601, 'redshifts/outlier_fraction_bin_2': 0.2468680888414383, 'redshifts/outlier_fraction_bin_3': 0.19615912437438965, 'redshifts/outlier_fraction_bin_4': 0.17149220407009125, 'redshifts/outlier_fraction_bin_5': 0.0952201709151268, 'redshifts/outlier_fraction_cata': 0.08871825784444809, 'redshifts/outlier_fraction_cata_bin_0': 0.12827004492282867, 'redshifts/outlier_fraction_cata_bin_1': 0.10148975998163223, 'redshifts/outlier_fraction_cata_bin_2': 0.07663964480161667, 'redshifts/outlier_fraction_cata_bin_3': 0.05761316791176796, 'redshifts/outlier_fraction_cata_bin_4': 0.07349666208028793, 'redshifts/outlier_fraction_cata_bin_5': 0.01994730904698372}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 53%|█████▎ | 203/383 [9:26:48<8:09:44, 163.25s/it]" + " 13%|█▎ | 198/1563 [16:47<2:05:11, 5.50s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([39419.])\n", - "{'redshifts/mse': 0.2791384160518646}\n" + "total num of pts: tensor([13207.])\n", + "total num of pts: tensor([4763., 3235., 1363., 731., 449., 2666.])\n", + "{'redshifts/bias_abs': 0.07438219338655472, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09225356578826904, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.004276101943105459, 'redshifts/bias_bin_0': 0.02966480143368244, 'redshifts/bias_bin_1': 0.011862937361001968, 'redshifts/bias_bin_2': -0.0007208040333352983, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0015323403058573604, 'redshifts/mse': 0.31067460775375366, 'redshifts/mse_bin_0': 0.43425312638282776, 'redshifts/mse_bin_1': 0.36270079016685486, 'redshifts/mse_bin_2': 0.2623933255672455, 'redshifts/mse_bin_3': 0.2252143770456314, 'redshifts/mse_bin_4': 0.2878657877445221, 'redshifts/mse_bin_5': 0.07872200757265091, 'redshifts/nmad': 0.11039643734693527, 'redshifts/nmad_bin_0': 0.2109525203704834, 'redshifts/nmad_bin_1': 0.1376602202653885, 'redshifts/nmad_bin_2': 0.08334872871637344, 'redshifts/nmad_bin_3': 0.0707322433590889, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.034912966191768646, 'redshifts/outlier_fraction': 0.3244491517543793, 'redshifts/outlier_fraction_bin_0': 0.4870879650115967, 'redshifts/outlier_fraction_bin_1': 0.3557959794998169, 'redshifts/outlier_fraction_bin_2': 0.24798239767551422, 'redshifts/outlier_fraction_bin_3': 0.19699043035507202, 'redshifts/outlier_fraction_bin_4': 0.17149220407009125, 'redshifts/outlier_fraction_bin_5': 0.09564891457557678, 'redshifts/outlier_fraction_cata': 0.08866510540246964, 'redshifts/outlier_fraction_cata_bin_0': 0.12786059081554413, 'redshifts/outlier_fraction_cata_bin_1': 0.1013910323381424, 'redshifts/outlier_fraction_cata_bin_2': 0.07703594863414764, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.07349666208028793, 'redshifts/outlier_fraction_cata_bin_5': 0.01987997069954872}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 53%|█████▎ | 204/383 [9:29:26<8:02:11, 161.63s/it]" + " 13%|█▎ | 199/1563 [16:51<1:56:51, 5.14s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([39622.])\n", - "{'redshifts/mse': 0.2792584002017975}\n" + "total num of pts: tensor([13280.])\n", + "total num of pts: tensor([4783., 3257., 1374., 738., 450., 2678.])\n", + "{'redshifts/bias_abs': 0.07426083087921143, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.05685897916555405, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004209383390843868, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.011862937361001968, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.3101763129234314, 'redshifts/mse_bin_0': 0.43374764919281006, 'redshifts/mse_bin_1': 0.3625035583972931, 'redshifts/mse_bin_2': 0.2612278163433075, 'redshifts/mse_bin_3': 0.224487766623497, 'redshifts/mse_bin_4': 0.28728845715522766, 'redshifts/mse_bin_5': 0.07840841263532639, 'redshifts/nmad': 0.11042360961437225, 'redshifts/nmad_bin_0': 0.21108482778072357, 'redshifts/nmad_bin_1': 0.13762302696704865, 'redshifts/nmad_bin_2': 0.08271484822034836, 'redshifts/nmad_bin_3': 0.0707322433590889, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.03486472740769386, 'redshifts/outlier_fraction': 0.32432228326797485, 'redshifts/outlier_fraction_bin_0': 0.48651474714279175, 'redshifts/outlier_fraction_bin_1': 0.35615596175193787, 'redshifts/outlier_fraction_bin_2': 0.24890829622745514, 'redshifts/outlier_fraction_bin_3': 0.19647696614265442, 'redshifts/outlier_fraction_bin_4': 0.1711111068725586, 'redshifts/outlier_fraction_bin_5': 0.09559372812509537, 'redshifts/outlier_fraction_cata': 0.0884036123752594, 'redshifts/outlier_fraction_cata_bin_0': 0.12753501534461975, 'redshifts/outlier_fraction_cata_bin_1': 0.10132023692131042, 'redshifts/outlier_fraction_cata_bin_2': 0.07641921192407608, 'redshifts/outlier_fraction_cata_bin_3': 0.05826558172702789, 'redshifts/outlier_fraction_cata_bin_4': 0.07333333045244217, 'redshifts/outlier_fraction_cata_bin_5': 0.0197908878326416}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 54%|█████▎ | 205/383 [9:32:07<7:58:25, 161.26s/it]" + " 13%|█▎ | 200/1563 [16:57<1:58:30, 5.22s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([39797.])\n", - "{'redshifts/mse': 0.27913469076156616}\n" + "total num of pts: tensor([13339.])\n", + "total num of pts: tensor([4802., 3270., 1380., 741., 452., 2694.])\n", + "{'redshifts/bias_abs': 0.07436729967594147, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.05685897916555405, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004193149507045746, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.012087547220289707, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.3096356987953186, 'redshifts/mse_bin_0': 0.4337717890739441, 'redshifts/mse_bin_1': 0.3617178201675415, 'redshifts/mse_bin_2': 0.26029688119888306, 'redshifts/mse_bin_3': 0.22358448803424835, 'redshifts/mse_bin_4': 0.28605934977531433, 'redshifts/mse_bin_5': 0.07804786413908005, 'redshifts/nmad': 0.11046379804611206, 'redshifts/nmad_bin_0': 0.21116487681865692, 'redshifts/nmad_bin_1': 0.1374514400959015, 'redshifts/nmad_bin_2': 0.0826004296541214, 'redshifts/nmad_bin_3': 0.07058301568031311, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.03507967293262482, 'redshifts/outlier_fraction': 0.3240872621536255, 'redshifts/outlier_fraction_bin_0': 0.48667222261428833, 'redshifts/outlier_fraction_bin_1': 0.3556574881076813, 'redshifts/outlier_fraction_bin_2': 0.24782608449459076, 'redshifts/outlier_fraction_bin_3': 0.19568151235580444, 'redshifts/outlier_fraction_bin_4': 0.1703539788722992, 'redshifts/outlier_fraction_bin_5': 0.0961395725607872, 'redshifts/outlier_fraction_cata': 0.08823750168085098, 'redshifts/outlier_fraction_cata_bin_0': 0.12744688987731934, 'redshifts/outlier_fraction_cata_bin_1': 0.10122324526309967, 'redshifts/outlier_fraction_cata_bin_2': 0.07608695328235626, 'redshifts/outlier_fraction_cata_bin_3': 0.05802968889474869, 'redshifts/outlier_fraction_cata_bin_4': 0.07300885021686554, 'redshifts/outlier_fraction_cata_bin_5': 0.01967334747314453}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 54%|█████▍ | 206/383 [9:34:44<7:52:23, 160.13s/it]" + " 13%|█▎ | 201/1563 [17:03<2:03:31, 5.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([39981.])\n", - "{'redshifts/mse': 0.27928367257118225}\n" + "total num of pts: tensor([13406.])\n", + "total num of pts: tensor([4829., 3285., 1388., 745., 455., 2704.])\n", + "{'redshifts/bias_abs': 0.07426083087921143, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004193149507045746, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.012420914135873318, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.001398789812810719, 'redshifts/mse': 0.30965080857276917, 'redshifts/mse_bin_0': 0.4341898262500763, 'redshifts/mse_bin_1': 0.360478013753891, 'redshifts/mse_bin_2': 0.2588772475719452, 'redshifts/mse_bin_3': 0.22983193397521973, 'redshifts/mse_bin_4': 0.2843801975250244, 'redshifts/mse_bin_5': 0.0777999609708786, 'redshifts/nmad': 0.1103615090250969, 'redshifts/nmad_bin_0': 0.211325541138649, 'redshifts/nmad_bin_1': 0.13713717460632324, 'redshifts/nmad_bin_2': 0.0822492316365242, 'redshifts/nmad_bin_3': 0.07021962106227875, 'redshifts/nmad_bin_4': 0.059675417840480804, 'redshifts/nmad_bin_5': 0.03501372039318085, 'redshifts/outlier_fraction': 0.3241086006164551, 'redshifts/outlier_fraction_bin_0': 0.4870573580265045, 'redshifts/outlier_fraction_bin_1': 0.35525113344192505, 'redshifts/outlier_fraction_bin_2': 0.2463976889848709, 'redshifts/outlier_fraction_bin_3': 0.19597315788269043, 'redshifts/outlier_fraction_bin_4': 0.17142857611179352, 'redshifts/outlier_fraction_bin_5': 0.09615384787321091, 'redshifts/outlier_fraction_cata': 0.08824407309293747, 'redshifts/outlier_fraction_cata_bin_0': 0.12776972353458405, 'redshifts/outlier_fraction_cata_bin_1': 0.1007610335946083, 'redshifts/outlier_fraction_cata_bin_2': 0.07564841210842133, 'redshifts/outlier_fraction_cata_bin_3': 0.05906040221452713, 'redshifts/outlier_fraction_cata_bin_4': 0.07252747565507889, 'redshifts/outlier_fraction_cata_bin_5': 0.01960059255361557}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 54%|█████▍ | 207/383 [9:37:34<7:58:23, 163.09s/it]" + " 13%|█▎ | 202/1563 [17:09<2:12:39, 5.85s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([40159.])\n", - "{'redshifts/mse': 0.2797401547431946}\n" + "total num of pts: tensor([13457.])\n", + "total num of pts: tensor([4845., 3302., 1389., 748., 456., 2717.])\n", + "{'redshifts/bias_abs': 0.07425589859485626, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05685897916555405, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.011772838421165943, 'redshifts/bias_bin_2': -0.0015287860296666622, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013778588036075234, 'redshifts/mse': 0.3096124827861786, 'redshifts/mse_bin_0': 0.43507224321365356, 'redshifts/mse_bin_1': 0.35970088839530945, 'redshifts/mse_bin_2': 0.2589819133281708, 'redshifts/mse_bin_3': 0.22892118990421295, 'redshifts/mse_bin_4': 0.2837565839290619, 'redshifts/mse_bin_5': 0.07745692133903503, 'redshifts/nmad': 0.11038730293512344, 'redshifts/nmad_bin_0': 0.21174246072769165, 'redshifts/nmad_bin_1': 0.1371096819639206, 'redshifts/nmad_bin_2': 0.08253028243780136, 'redshifts/nmad_bin_3': 0.06954960525035858, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.03503371775150299, 'redshifts/outlier_fraction': 0.32421788573265076, 'redshifts/outlier_fraction_bin_0': 0.4879257082939148, 'redshifts/outlier_fraction_bin_1': 0.3549363911151886, 'redshifts/outlier_fraction_bin_2': 0.2469402402639389, 'redshifts/outlier_fraction_bin_3': 0.19518716633319855, 'redshifts/outlier_fraction_bin_4': 0.17105263471603394, 'redshifts/outlier_fraction_bin_5': 0.09569378197193146, 'redshifts/outlier_fraction_cata': 0.08828119188547134, 'redshifts/outlier_fraction_cata_bin_0': 0.12817338109016418, 'redshifts/outlier_fraction_cata_bin_1': 0.10054512321949005, 'redshifts/outlier_fraction_cata_bin_2': 0.07559395581483841, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.07236842066049576, 'redshifts/outlier_fraction_cata_bin_5': 0.01950680837035179}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 54%|█████▍ | 208/383 [9:40:28<8:04:46, 166.21s/it]" + " 13%|█▎ | 203/1563 [17:16<2:17:27, 6.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([40354.])\n", - "{'redshifts/mse': 0.2798706889152527}\n" + "total num of pts: tensor([13501.])\n", + "total num of pts: tensor([4863., 3307., 1393., 752., 456., 2730.])\n", + "{'redshifts/bias_abs': 0.07436729967594147, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.012078119441866875, 'redshifts/bias_bin_2': -0.0015287860296666622, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013905868399888277, 'redshifts/mse': 0.30902722477912903, 'redshifts/mse_bin_0': 0.43418624997138977, 'redshifts/mse_bin_1': 0.3593522608280182, 'redshifts/mse_bin_2': 0.25838667154312134, 'redshifts/mse_bin_3': 0.2289438247680664, 'redshifts/mse_bin_4': 0.2837565839290619, 'redshifts/mse_bin_5': 0.07723988592624664, 'redshifts/nmad': 0.11049431562423706, 'redshifts/nmad_bin_0': 0.2119058519601822, 'redshifts/nmad_bin_1': 0.13740767538547516, 'redshifts/nmad_bin_2': 0.08298498392105103, 'redshifts/nmad_bin_3': 0.06954960525035858, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.035025883466005325, 'redshifts/outlier_fraction': 0.3241982161998749, 'redshifts/outlier_fraction_bin_0': 0.48776474595069885, 'redshifts/outlier_fraction_bin_1': 0.35500454902648926, 'redshifts/outlier_fraction_bin_2': 0.24694903194904327, 'redshifts/outlier_fraction_bin_3': 0.19547872245311737, 'redshifts/outlier_fraction_bin_4': 0.17105263471603394, 'redshifts/outlier_fraction_bin_5': 0.09597069770097733, 'redshifts/outlier_fraction_cata': 0.08806755393743515, 'redshifts/outlier_fraction_cata_bin_0': 0.12790457904338837, 'redshifts/outlier_fraction_cata_bin_1': 0.10039310902357101, 'redshifts/outlier_fraction_cata_bin_2': 0.07537688314914703, 'redshifts/outlier_fraction_cata_bin_3': 0.058510638773441315, 'redshifts/outlier_fraction_cata_bin_4': 0.07236842066049576, 'redshifts/outlier_fraction_cata_bin_5': 0.019413920119404793}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 55%|█████▍ | 209/383 [9:43:22<8:08:47, 168.55s/it]" + " 13%|█▎ | 204/1563 [17:21<2:12:30, 5.85s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([40526.])\n", - "{'redshifts/mse': 0.2798321843147278}\n" + "total num of pts: tensor([13558.])\n", + "total num of pts: tensor([4884., 3323., 1402., 753., 458., 2738.])\n", + "{'redshifts/bias_abs': 0.07439469546079636, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09204958379268646, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.0015287860296666622, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013793964171782136, 'redshifts/mse': 0.3090115189552307, 'redshifts/mse_bin_0': 0.43437105417251587, 'redshifts/mse_bin_1': 0.35973426699638367, 'redshifts/mse_bin_2': 0.2568751275539398, 'redshifts/mse_bin_3': 0.22865432500839233, 'redshifts/mse_bin_4': 0.28253915905952454, 'redshifts/mse_bin_5': 0.07706376165151596, 'redshifts/nmad': 0.11058548092842102, 'redshifts/nmad_bin_0': 0.21186254918575287, 'redshifts/nmad_bin_1': 0.13761547207832336, 'redshifts/nmad_bin_2': 0.0824337974190712, 'redshifts/nmad_bin_3': 0.0695965364575386, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.035042472183704376, 'redshifts/outlier_fraction': 0.3243103623390198, 'redshifts/outlier_fraction_bin_0': 0.48791974782943726, 'redshifts/outlier_fraction_bin_1': 0.35540175437927246, 'redshifts/outlier_fraction_bin_2': 0.2460770308971405, 'redshifts/outlier_fraction_bin_3': 0.19521912932395935, 'redshifts/outlier_fraction_bin_4': 0.17030568420886993, 'redshifts/outlier_fraction_bin_5': 0.0960555151104927, 'redshifts/outlier_fraction_cata': 0.08784481137990952, 'redshifts/outlier_fraction_cata_bin_0': 0.1275593787431717, 'redshifts/outlier_fraction_cata_bin_1': 0.10021065175533295, 'redshifts/outlier_fraction_cata_bin_2': 0.07489301264286041, 'redshifts/outlier_fraction_cata_bin_3': 0.058432936668395996, 'redshifts/outlier_fraction_cata_bin_4': 0.07205240428447723, 'redshifts/outlier_fraction_cata_bin_5': 0.019357195124030113}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 55%|█████▍ | 210/383 [9:46:04<8:00:45, 166.74s/it]" + " 13%|█▎ | 205/1563 [17:25<2:01:30, 5.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([40705.])\n", - "{'redshifts/mse': 0.28043144941329956}\n" + "total num of pts: tensor([13617.])\n", + "total num of pts: tensor([4900., 3338., 1407., 759., 462., 2751.])\n", + "{'redshifts/bias_abs': 0.07438993453979492, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09211381524801254, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004100842867046595, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.30879706144332886, 'redshifts/mse_bin_0': 0.43379679322242737, 'redshifts/mse_bin_1': 0.361166775226593, 'redshifts/mse_bin_2': 0.2561096251010895, 'redshifts/mse_bin_3': 0.22712348401546478, 'redshifts/mse_bin_4': 0.2803332507610321, 'redshifts/mse_bin_5': 0.07687025517225266, 'redshifts/nmad': 0.11060065031051636, 'redshifts/nmad_bin_0': 0.2120397686958313, 'redshifts/nmad_bin_1': 0.1376810520887375, 'redshifts/nmad_bin_2': 0.0822492316365242, 'redshifts/nmad_bin_3': 0.0695965364575386, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.03501570224761963, 'redshifts/outlier_fraction': 0.3245208263397217, 'redshifts/outlier_fraction_bin_0': 0.4881632626056671, 'redshifts/outlier_fraction_bin_1': 0.3559017479419708, 'redshifts/outlier_fraction_bin_2': 0.24662402272224426, 'redshifts/outlier_fraction_bin_3': 0.19499340653419495, 'redshifts/outlier_fraction_bin_4': 0.17099566757678986, 'redshifts/outlier_fraction_bin_5': 0.09632860869169235, 'redshifts/outlier_fraction_cata': 0.08775795251131058, 'redshifts/outlier_fraction_cata_bin_0': 0.127346932888031, 'redshifts/outlier_fraction_cata_bin_1': 0.10065907984972, 'redshifts/outlier_fraction_cata_bin_2': 0.0746268630027771, 'redshifts/outlier_fraction_cata_bin_3': 0.05797101557254791, 'redshifts/outlier_fraction_cata_bin_4': 0.0714285746216774, 'redshifts/outlier_fraction_cata_bin_5': 0.01926572248339653}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 55%|█████▌ | 211/383 [9:48:52<7:58:36, 166.96s/it]" + " 13%|█▎ | 206/1563 [17:29<1:52:12, 4.96s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([40919.])\n", - "{'redshifts/mse': 0.28044095635414124}\n" + "total num of pts: tensor([13676.])\n", + "total num of pts: tensor([4926., 3353., 1414., 760., 463., 2760.])\n", + "{'redshifts/bias_abs': 0.07440409064292908, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.05679091438651085, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004087230656296015, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.0017093498026952147, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.30859625339508057, 'redshifts/mse_bin_0': 0.43396562337875366, 'redshifts/mse_bin_1': 0.3603382110595703, 'redshifts/mse_bin_2': 0.25497403740882874, 'redshifts/mse_bin_3': 0.22685599327087402, 'redshifts/mse_bin_4': 0.2797321081161499, 'redshifts/mse_bin_5': 0.0768040344119072, 'redshifts/nmad': 0.11062083393335342, 'redshifts/nmad_bin_0': 0.21233011782169342, 'redshifts/nmad_bin_1': 0.13761547207832336, 'redshifts/nmad_bin_2': 0.08216609060764313, 'redshifts/nmad_bin_3': 0.06986205279827118, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.03489070385694504, 'redshifts/outlier_fraction': 0.32487568259239197, 'redshifts/outlier_fraction_bin_0': 0.48903775215148926, 'redshifts/outlier_fraction_bin_1': 0.35550254583358765, 'redshifts/outlier_fraction_bin_2': 0.24681754410266876, 'redshifts/outlier_fraction_bin_3': 0.19473683834075928, 'redshifts/outlier_fraction_bin_4': 0.17062635719776154, 'redshifts/outlier_fraction_bin_5': 0.09637681394815445, 'redshifts/outlier_fraction_cata': 0.08781807869672775, 'redshifts/outlier_fraction_cata_bin_0': 0.12768980860710144, 'redshifts/outlier_fraction_cata_bin_1': 0.10050700604915619, 'redshifts/outlier_fraction_cata_bin_2': 0.07425742596387863, 'redshifts/outlier_fraction_cata_bin_3': 0.057894736528396606, 'redshifts/outlier_fraction_cata_bin_4': 0.0712742954492569, 'redshifts/outlier_fraction_cata_bin_5': 0.01920289918780327}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 55%|█████▌ | 212/383 [9:51:34<7:51:58, 165.61s/it]" + " 13%|█▎ | 207/1563 [17:34<1:48:57, 4.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([41131.])\n", - "{'redshifts/mse': 0.2807062566280365}\n" + "total num of pts: tensor([13738.])\n", + "total num of pts: tensor([4949., 3363., 1422., 765., 465., 2774.])\n", + "{'redshifts/bias_abs': 0.07440260797739029, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05679091438651085, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.004086958710104227, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.011448400095105171, 'redshifts/bias_bin_2': -0.0015287860296666622, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.3083265423774719, 'redshifts/mse_bin_0': 0.43364575505256653, 'redshifts/mse_bin_1': 0.35957667231559753, 'redshifts/mse_bin_2': 0.25667598843574524, 'redshifts/mse_bin_3': 0.22690320014953613, 'redshifts/mse_bin_4': 0.27884718775749207, 'redshifts/mse_bin_5': 0.07649148255586624, 'redshifts/nmad': 0.11060512065887451, 'redshifts/nmad_bin_0': 0.21244435012340546, 'redshifts/nmad_bin_1': 0.1371806561946869, 'redshifts/nmad_bin_2': 0.08241849392652512, 'redshifts/nmad_bin_3': 0.0695965364575386, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.03486472740769386, 'redshifts/outlier_fraction': 0.3247925341129303, 'redshifts/outlier_fraction_bin_0': 0.4893918037414551, 'redshifts/outlier_fraction_bin_1': 0.35504013299942017, 'redshifts/outlier_fraction_bin_2': 0.24683544039726257, 'redshifts/outlier_fraction_bin_3': 0.19477124512195587, 'redshifts/outlier_fraction_bin_4': 0.17204301059246063, 'redshifts/outlier_fraction_bin_5': 0.09589041024446487, 'redshifts/outlier_fraction_cata': 0.08778570592403412, 'redshifts/outlier_fraction_cata_bin_0': 0.1275005042552948, 'redshifts/outlier_fraction_cata_bin_1': 0.10020814836025238, 'redshifts/outlier_fraction_cata_bin_2': 0.07524613291025162, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.07096774131059647, 'redshifts/outlier_fraction_cata_bin_5': 0.019105983898043633}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 56%|█████▌ | 213/383 [9:54:17<7:47:10, 164.88s/it]" + " 13%|█▎ | 208/1563 [17:39<1:48:49, 4.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([41324.])\n", - "{'redshifts/mse': 0.2808399200439453}\n" + "total num of pts: tensor([13803.])\n", + "total num of pts: tensor([4971., 3377., 1427., 767., 469., 2792.])\n", + "{'redshifts/bias_abs': 0.07438219338655472, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004060894250869751, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.011448400095105171, 'redshifts/bias_bin_2': -0.0012994504068046808, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.3078727424144745, 'redshifts/mse_bin_0': 0.43395695090293884, 'redshifts/mse_bin_1': 0.35841095447540283, 'redshifts/mse_bin_2': 0.25674399733543396, 'redshifts/mse_bin_3': 0.22631262242794037, 'redshifts/mse_bin_4': 0.2765432596206665, 'redshifts/mse_bin_5': 0.0760614424943924, 'redshifts/nmad': 0.11046146601438522, 'redshifts/nmad_bin_0': 0.21252559125423431, 'redshifts/nmad_bin_1': 0.13720223307609558, 'redshifts/nmad_bin_2': 0.0826449766755104, 'redshifts/nmad_bin_3': 0.06928408890962601, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.03489070385694504, 'redshifts/outlier_fraction': 0.32456710934638977, 'redshifts/outlier_fraction_bin_0': 0.48923757672309875, 'redshifts/outlier_fraction_bin_1': 0.35504886507987976, 'redshifts/outlier_fraction_bin_2': 0.247372105717659, 'redshifts/outlier_fraction_bin_3': 0.19426336884498596, 'redshifts/outlier_fraction_bin_4': 0.17057569324970245, 'redshifts/outlier_fraction_bin_5': 0.09563037008047104, 'redshifts/outlier_fraction_cata': 0.08758965134620667, 'redshifts/outlier_fraction_cata_bin_0': 0.127539724111557, 'redshifts/outlier_fraction_cata_bin_1': 0.0997927188873291, 'redshifts/outlier_fraction_cata_bin_2': 0.07498247921466827, 'redshifts/outlier_fraction_cata_bin_3': 0.05867014452815056, 'redshifts/outlier_fraction_cata_bin_4': 0.07036247104406357, 'redshifts/outlier_fraction_cata_bin_5': 0.01898280717432499}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 56%|█████▌ | 214/383 [9:56:56<7:39:10, 163.02s/it]" + " 13%|█▎ | 209/1563 [17:44<1:51:08, 4.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([41510.])\n", - "{'redshifts/mse': 0.28068336844444275}\n" + "total num of pts: tensor([13860.])\n", + "total num of pts: tensor([4988., 3393., 1433., 774., 470., 2802.])\n", + "{'redshifts/bias_abs': 0.07425589859485626, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004087230656296015, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.011448400095105171, 'redshifts/bias_bin_2': -0.0012994504068046808, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.3077958822250366, 'redshifts/mse_bin_0': 0.43388262391090393, 'redshifts/mse_bin_1': 0.35878708958625793, 'redshifts/mse_bin_2': 0.25687065720558167, 'redshifts/mse_bin_3': 0.22446703910827637, 'redshifts/mse_bin_4': 0.27664250135421753, 'redshifts/mse_bin_5': 0.07588456571102142, 'redshifts/nmad': 0.11033528298139572, 'redshifts/nmad_bin_0': 0.21216514706611633, 'redshifts/nmad_bin_1': 0.136628657579422, 'redshifts/nmad_bin_2': 0.0826449766755104, 'redshifts/nmad_bin_3': 0.06875547021627426, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.03489070385694504, 'redshifts/outlier_fraction': 0.3241702616214752, 'redshifts/outlier_fraction_bin_0': 0.48877304792404175, 'redshifts/outlier_fraction_bin_1': 0.35396403074264526, 'redshifts/outlier_fraction_bin_2': 0.2477320283651352, 'redshifts/outlier_fraction_bin_3': 0.19379845261573792, 'redshifts/outlier_fraction_bin_4': 0.17234042286872864, 'redshifts/outlier_fraction_bin_5': 0.0956459641456604, 'redshifts/outlier_fraction_cata': 0.08751803636550903, 'redshifts/outlier_fraction_cata_bin_0': 0.12750601768493652, 'redshifts/outlier_fraction_cata_bin_1': 0.09961685538291931, 'redshifts/outlier_fraction_cata_bin_2': 0.07536636292934418, 'redshifts/outlier_fraction_cata_bin_3': 0.058139536529779434, 'redshifts/outlier_fraction_cata_bin_4': 0.07021276652812958, 'redshifts/outlier_fraction_cata_bin_5': 0.01891506090760231}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 56%|█████▌ | 215/383 [9:59:34<7:32:36, 161.65s/it]" + " 13%|█▎ | 210/1563 [17:50<1:55:57, 5.14s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([41705.])\n", - "{'redshifts/mse': 0.28094589710235596}\n" + "total num of pts: tensor([13921.])\n", + "total num of pts: tensor([5016., 3407., 1434., 775., 474., 2815.])\n", + "{'redshifts/bias_abs': 0.07438219338655472, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004060894250869751, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.011645552702248096, 'redshifts/bias_bin_2': -0.0015287860296666622, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005414244718849659, 'redshifts/bias_bin_5': -0.0014930347679182887, 'redshifts/mse': 0.3082856237888336, 'redshifts/mse_bin_0': 0.43556737899780273, 'redshifts/mse_bin_1': 0.35792186856269836, 'redshifts/mse_bin_2': 0.2572341859340668, 'redshifts/mse_bin_3': 0.2242625504732132, 'redshifts/mse_bin_4': 0.27651017904281616, 'redshifts/mse_bin_5': 0.075900599360466, 'redshifts/nmad': 0.11046146601438522, 'redshifts/nmad_bin_0': 0.2126481533050537, 'redshifts/nmad_bin_1': 0.1360400915145874, 'redshifts/nmad_bin_2': 0.0824337974190712, 'redshifts/nmad_bin_3': 0.06920065730810165, 'redshifts/nmad_bin_4': 0.059394720941782, 'redshifts/nmad_bin_5': 0.03489070385694504, 'redshifts/outlier_fraction': 0.3246893286705017, 'redshifts/outlier_fraction_bin_0': 0.4898325502872467, 'redshifts/outlier_fraction_bin_1': 0.35339006781578064, 'redshifts/outlier_fraction_bin_2': 0.2482566237449646, 'redshifts/outlier_fraction_bin_3': 0.19354838132858276, 'redshifts/outlier_fraction_bin_4': 0.17299577593803406, 'redshifts/outlier_fraction_bin_5': 0.09626998007297516, 'redshifts/outlier_fraction_cata': 0.0877092182636261, 'redshifts/outlier_fraction_cata_bin_0': 0.12799042463302612, 'redshifts/outlier_fraction_cata_bin_1': 0.09950102865695953, 'redshifts/outlier_fraction_cata_bin_2': 0.07531380653381348, 'redshifts/outlier_fraction_cata_bin_3': 0.05806451663374901, 'redshifts/outlier_fraction_cata_bin_4': 0.07172995805740356, 'redshifts/outlier_fraction_cata_bin_5': 0.018827708438038826}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 56%|█████▋ | 216/383 [10:02:08<7:22:58, 159.15s/it]" + " 13%|█▎ | 211/1563 [17:55<2:00:28, 5.35s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([41900.])\n", - "{'redshifts/mse': 0.28107452392578125}\n" + "total num of pts: tensor([14001.])\n", + "total num of pts: tensor([5042., 3427., 1447., 779., 477., 2829.])\n", + "{'redshifts/bias_abs': 0.07436729967594147, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004086958710104227, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.011691421270370483, 'redshifts/bias_bin_2': -0.0015287860296666622, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0014216684503480792, 'redshifts/mse': 0.30949822068214417, 'redshifts/mse_bin_0': 0.43607792258262634, 'redshifts/mse_bin_1': 0.359943151473999, 'redshifts/mse_bin_2': 0.2605341672897339, 'redshifts/mse_bin_3': 0.22972682118415833, 'redshifts/mse_bin_4': 0.2752459943294525, 'redshifts/mse_bin_5': 0.07558058202266693, 'redshifts/nmad': 0.11038000881671906, 'redshifts/nmad_bin_0': 0.21231159567832947, 'redshifts/nmad_bin_1': 0.13554330170154572, 'redshifts/nmad_bin_2': 0.08315259218215942, 'redshifts/nmad_bin_3': 0.06946617364883423, 'redshifts/nmad_bin_4': 0.059675417840480804, 'redshifts/nmad_bin_5': 0.03474888578057289, 'redshifts/outlier_fraction': 0.32461968064308167, 'redshifts/outlier_fraction_bin_0': 0.4890916347503662, 'redshifts/outlier_fraction_bin_1': 0.3533703088760376, 'redshifts/outlier_fraction_bin_2': 0.2494816929101944, 'redshifts/outlier_fraction_bin_3': 0.19512194395065308, 'redshifts/outlier_fraction_bin_4': 0.1740041971206665, 'redshifts/outlier_fraction_bin_5': 0.09614704549312592, 'redshifts/outlier_fraction_cata': 0.08792228996753693, 'redshifts/outlier_fraction_cata_bin_0': 0.12792542576789856, 'redshifts/outlier_fraction_cata_bin_1': 0.10008753836154938, 'redshifts/outlier_fraction_cata_bin_2': 0.07601934671401978, 'redshifts/outlier_fraction_cata_bin_3': 0.0590500645339489, 'redshifts/outlier_fraction_cata_bin_4': 0.07127882540225983, 'redshifts/outlier_fraction_cata_bin_5': 0.018734535202383995}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 57%|█████▋ | 217/383 [10:04:58<7:29:54, 162.62s/it]" + " 14%|█▎ | 212/1563 [18:01<2:02:57, 5.46s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([42106.])\n", - "{'redshifts/mse': 0.28156688809394836}\n" + "total num of pts: tensor([14071.])\n", + "total num of pts: tensor([5071., 3444., 1457., 783., 479., 2837.])\n", + "{'redshifts/bias_abs': 0.0744270533323288, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004128248430788517, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.0015287860296666622, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.001398789812810719, 'redshifts/mse': 0.3094959259033203, 'redshifts/mse_bin_0': 0.4352573752403259, 'redshifts/mse_bin_1': 0.3596537113189697, 'redshifts/mse_bin_2': 0.26367437839508057, 'redshifts/mse_bin_3': 0.22885335981845856, 'redshifts/mse_bin_4': 0.2750643491744995, 'redshifts/mse_bin_5': 0.07541872560977936, 'redshifts/nmad': 0.11061564832925797, 'redshifts/nmad_bin_0': 0.2121373862028122, 'redshifts/nmad_bin_1': 0.13532663881778717, 'redshifts/nmad_bin_2': 0.08315259218215942, 'redshifts/nmad_bin_3': 0.06950097531080246, 'redshifts/nmad_bin_4': 0.06013719365000725, 'redshifts/nmad_bin_5': 0.034714967012405396, 'redshifts/outlier_fraction': 0.32463932037353516, 'redshifts/outlier_fraction_bin_0': 0.4888582229614258, 'redshifts/outlier_fraction_bin_1': 0.35307782888412476, 'redshifts/outlier_fraction_bin_2': 0.24982841312885284, 'redshifts/outlier_fraction_bin_3': 0.19540229439735413, 'redshifts/outlier_fraction_bin_4': 0.17536534368991852, 'redshifts/outlier_fraction_bin_5': 0.09587592631578445, 'redshifts/outlier_fraction_cata': 0.08791130781173706, 'redshifts/outlier_fraction_cata_bin_0': 0.12758824229240417, 'redshifts/outlier_fraction_cata_bin_1': 0.10017421841621399, 'redshifts/outlier_fraction_cata_bin_2': 0.07687028497457504, 'redshifts/outlier_fraction_cata_bin_3': 0.058748405426740646, 'redshifts/outlier_fraction_cata_bin_4': 0.0709812119603157, 'redshifts/outlier_fraction_cata_bin_5': 0.018681706860661507}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 57%|█████▋ | 218/383 [10:07:41<7:27:35, 162.76s/it]" + " 14%|█▎ | 213/1563 [18:06<1:59:50, 5.33s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([42306.])\n", - "{'redshifts/mse': 0.2816145122051239}\n" + "total num of pts: tensor([14117.])\n", + "total num of pts: tensor([5082., 3458., 1462., 785., 481., 2849.])\n", + "{'redshifts/bias_abs': 0.07440260797739029, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.08987556397914886, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004100842867046595, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.001398789812810719, 'redshifts/mse': 0.3092913031578064, 'redshifts/mse_bin_0': 0.43523240089416504, 'redshifts/mse_bin_1': 0.35838109254837036, 'redshifts/mse_bin_2': 0.2663045823574066, 'redshifts/mse_bin_3': 0.22853995859622955, 'redshifts/mse_bin_4': 0.2746158242225647, 'redshifts/mse_bin_5': 0.07522136718034744, 'redshifts/nmad': 0.11058453470468521, 'redshifts/nmad_bin_0': 0.2121867835521698, 'redshifts/nmad_bin_1': 0.134648397564888, 'redshifts/nmad_bin_2': 0.08319970965385437, 'redshifts/nmad_bin_3': 0.06950097531080246, 'redshifts/nmad_bin_4': 0.060133520513772964, 'redshifts/nmad_bin_5': 0.03470154106616974, 'redshifts/outlier_fraction': 0.32457321882247925, 'redshifts/outlier_fraction_bin_0': 0.4893742501735687, 'redshifts/outlier_fraction_bin_1': 0.35222673416137695, 'redshifts/outlier_fraction_bin_2': 0.2503420114517212, 'redshifts/outlier_fraction_bin_3': 0.19490446150302887, 'redshifts/outlier_fraction_bin_4': 0.1767151802778244, 'redshifts/outlier_fraction_bin_5': 0.09582309424877167, 'redshifts/outlier_fraction_cata': 0.08783736079931259, 'redshifts/outlier_fraction_cata_bin_0': 0.1277056336402893, 'redshifts/outlier_fraction_cata_bin_1': 0.09976865351200104, 'redshifts/outlier_fraction_cata_bin_2': 0.07729138433933258, 'redshifts/outlier_fraction_cata_bin_3': 0.058598726987838745, 'redshifts/outlier_fraction_cata_bin_4': 0.07068607211112976, 'redshifts/outlier_fraction_cata_bin_5': 0.018603019416332245}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 57%|█████▋ | 219/383 [10:10:14<7:16:38, 159.74s/it]" + " 14%|█▎ | 214/1563 [18:12<2:04:21, 5.53s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([42518.])\n", - "{'redshifts/mse': 0.28143319487571716}\n" + "total num of pts: tensor([14188.])\n", + "total num of pts: tensor([5108., 3475., 1469., 788., 482., 2866.])\n", + "{'redshifts/bias_abs': 0.074454665184021, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.057129621505737305, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004060894250869751, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.011415570974349976, 'redshifts/bias_bin_2': -0.0017093498026952147, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.001398789812810719, 'redshifts/mse': 0.3088959753513336, 'redshifts/mse_bin_0': 0.43503570556640625, 'redshifts/mse_bin_1': 0.35802263021469116, 'redshifts/mse_bin_2': 0.2653730511665344, 'redshifts/mse_bin_3': 0.22793377935886383, 'redshifts/mse_bin_4': 0.27427223324775696, 'redshifts/mse_bin_5': 0.074907585978508, 'redshifts/nmad': 0.11068781465291977, 'redshifts/nmad_bin_0': 0.21231919527053833, 'redshifts/nmad_bin_1': 0.1347506195306778, 'redshifts/nmad_bin_2': 0.08346571773290634, 'redshifts/nmad_bin_3': 0.06890372931957245, 'redshifts/nmad_bin_4': 0.06013719365000725, 'redshifts/nmad_bin_5': 0.034714967012405396, 'redshifts/outlier_fraction': 0.32499295473098755, 'redshifts/outlier_fraction_bin_0': 0.4902114272117615, 'redshifts/outlier_fraction_bin_1': 0.3525179922580719, 'redshifts/outlier_fraction_bin_2': 0.24982981383800507, 'redshifts/outlier_fraction_bin_3': 0.19543147087097168, 'redshifts/outlier_fraction_bin_4': 0.17842324078083038, 'redshifts/outlier_fraction_bin_5': 0.09595254808664322, 'redshifts/outlier_fraction_cata': 0.08760924637317657, 'redshifts/outlier_fraction_cata_bin_0': 0.12744714319705963, 'redshifts/outlier_fraction_cata_bin_1': 0.09956834465265274, 'redshifts/outlier_fraction_cata_bin_2': 0.07692307978868484, 'redshifts/outlier_fraction_cata_bin_3': 0.058375634253025055, 'redshifts/outlier_fraction_cata_bin_4': 0.07053942233324051, 'redshifts/outlier_fraction_cata_bin_5': 0.018492672592401505}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 57%|█████▋ | 220/383 [10:12:51<7:11:22, 158.79s/it]" + " 14%|█▍ | 215/1563 [18:21<2:29:19, 6.65s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([42713.])\n", - "{'redshifts/mse': 0.28130054473876953}\n" + "total num of pts: tensor([14250.])\n", + "total num of pts: tensor([5132., 3490., 1474., 790., 484., 2880.])\n", + "{'redshifts/bias_abs': 0.0743960365653038, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.08959982544183731, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.003954622428864241, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.011381042189896107, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0014998031547293067, 'redshifts/mse': 0.3083503842353821, 'redshifts/mse_bin_0': 0.4345461428165436, 'redshifts/mse_bin_1': 0.357321172952652, 'redshifts/mse_bin_2': 0.26470261812210083, 'redshifts/mse_bin_3': 0.22736921906471252, 'redshifts/mse_bin_4': 0.27321749925613403, 'redshifts/mse_bin_5': 0.07459196448326111, 'redshifts/nmad': 0.11057576537132263, 'redshifts/nmad_bin_0': 0.2123796045780182, 'redshifts/nmad_bin_1': 0.13433417677879333, 'redshifts/nmad_bin_2': 0.08324242383241653, 'redshifts/nmad_bin_3': 0.06850768625736237, 'redshifts/nmad_bin_4': 0.06013719365000725, 'redshifts/nmad_bin_5': 0.03486472740769386, 'redshifts/outlier_fraction': 0.3244210481643677, 'redshifts/outlier_fraction_bin_0': 0.48986750841140747, 'redshifts/outlier_fraction_bin_1': 0.35128939151763916, 'redshifts/outlier_fraction_bin_2': 0.24966078996658325, 'redshifts/outlier_fraction_bin_3': 0.19493670761585236, 'redshifts/outlier_fraction_bin_4': 0.17768594622612, 'redshifts/outlier_fraction_bin_5': 0.0954861119389534, 'redshifts/outlier_fraction_cata': 0.08757894486188889, 'redshifts/outlier_fraction_cata_bin_0': 0.1276305466890335, 'redshifts/outlier_fraction_cata_bin_1': 0.09942693263292313, 'redshifts/outlier_fraction_cata_bin_2': 0.07666214555501938, 'redshifts/outlier_fraction_cata_bin_3': 0.05822784826159477, 'redshifts/outlier_fraction_cata_bin_4': 0.07024793326854706, 'redshifts/outlier_fraction_cata_bin_5': 0.01840277761220932}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 58%|█████▊ | 221/383 [10:15:32<7:10:30, 159.45s/it]" + " 14%|█▍ | 216/1563 [18:27<2:23:15, 6.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([42916.])\n", - "{'redshifts/mse': 0.28097638487815857}\n" + "total num of pts: tensor([14303.])\n", + "total num of pts: tensor([5156., 3499., 1479., 796., 485., 2888.])\n", + "{'redshifts/bias_abs': 0.07453634589910507, 'redshifts/bias_abs_bin_0': 0.14588676393032074, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.0039031223859637976, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0014216684503480792, 'redshifts/mse': 0.30933162569999695, 'redshifts/mse_bin_0': 0.4355914294719696, 'redshifts/mse_bin_1': 0.3598000407218933, 'redshifts/mse_bin_2': 0.2639717161655426, 'redshifts/mse_bin_3': 0.22827033698558807, 'redshifts/mse_bin_4': 0.2726542353630066, 'redshifts/mse_bin_5': 0.07450451701879501, 'redshifts/nmad': 0.11089379340410233, 'redshifts/nmad_bin_0': 0.2137056142091751, 'redshifts/nmad_bin_1': 0.134837806224823, 'redshifts/nmad_bin_2': 0.08319970965385437, 'redshifts/nmad_bin_3': 0.06899428367614746, 'redshifts/nmad_bin_4': 0.060133520513772964, 'redshifts/nmad_bin_5': 0.0349774993956089, 'redshifts/outlier_fraction': 0.3252464532852173, 'redshifts/outlier_fraction_bin_0': 0.49127230048179626, 'redshifts/outlier_fraction_bin_1': 0.3521006107330322, 'redshifts/outlier_fraction_bin_2': 0.24949289858341217, 'redshifts/outlier_fraction_bin_3': 0.19597989320755005, 'redshifts/outlier_fraction_bin_4': 0.17731958627700806, 'redshifts/outlier_fraction_bin_5': 0.09556786715984344, 'redshifts/outlier_fraction_cata': 0.08788365870714188, 'redshifts/outlier_fraction_cata_bin_0': 0.1280062049627304, 'redshifts/outlier_fraction_cata_bin_1': 0.10002858191728592, 'redshifts/outlier_fraction_cata_bin_2': 0.07640297710895538, 'redshifts/outlier_fraction_cata_bin_3': 0.059045225381851196, 'redshifts/outlier_fraction_cata_bin_4': 0.07010309398174286, 'redshifts/outlier_fraction_cata_bin_5': 0.018351800739765167}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 58%|█████▊ | 222/383 [10:18:25<7:18:50, 163.55s/it]" + " 14%|█▍ | 217/1563 [18:34<2:28:35, 6.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([43106.])\n", - "{'redshifts/mse': 0.2807941138744354}\n" + "total num of pts: tensor([14359.])\n", + "total num of pts: tensor([5174., 3506., 1484., 801., 491., 2903.])\n", + "{'redshifts/bias_abs': 0.07447163760662079, 'redshifts/bias_abs_bin_0': 0.14617660641670227, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.0038802307099103928, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0017093498026952147, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013905868399888277, 'redshifts/mse': 0.3089964687824249, 'redshifts/mse_bin_0': 0.4352261424064636, 'redshifts/mse_bin_1': 0.3594740927219391, 'redshifts/mse_bin_2': 0.2650277018547058, 'redshifts/mse_bin_3': 0.22899289429187775, 'redshifts/mse_bin_4': 0.26972272992134094, 'redshifts/mse_bin_5': 0.07425089180469513, 'redshifts/nmad': 0.11083272099494934, 'redshifts/nmad_bin_0': 0.21366377174854279, 'redshifts/nmad_bin_1': 0.134837806224823, 'redshifts/nmad_bin_2': 0.0832526907324791, 'redshifts/nmad_bin_3': 0.06889409571886063, 'redshifts/nmad_bin_4': 0.06013719365000725, 'redshifts/nmad_bin_5': 0.03474001586437225, 'redshifts/outlier_fraction': 0.3253708481788635, 'redshifts/outlier_fraction_bin_0': 0.49168920516967773, 'redshifts/outlier_fraction_bin_1': 0.3522532880306244, 'redshifts/outlier_fraction_bin_2': 0.24932613968849182, 'redshifts/outlier_fraction_bin_3': 0.1960049867630005, 'redshifts/outlier_fraction_bin_4': 0.1771894097328186, 'redshifts/outlier_fraction_bin_5': 0.09610747545957565, 'redshifts/outlier_fraction_cata': 0.08781948685646057, 'redshifts/outlier_fraction_cata_bin_0': 0.12794743478298187, 'redshifts/outlier_fraction_cata_bin_1': 0.09982886165380478, 'redshifts/outlier_fraction_cata_bin_2': 0.07681940495967865, 'redshifts/outlier_fraction_cata_bin_3': 0.05992509424686432, 'redshifts/outlier_fraction_cata_bin_4': 0.06924643367528915, 'redshifts/outlier_fraction_cata_bin_5': 0.01825697533786297}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 58%|█████▊ | 223/383 [10:21:10<7:17:24, 164.03s/it]" + " 14%|█▍ | 218/1563 [18:40<2:20:57, 6.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([43315.])\n", - "{'redshifts/mse': 0.2808741331100464}\n" + "total num of pts: tensor([14425.])\n", + "total num of pts: tensor([5199., 3522., 1491., 806., 494., 2913.])\n", + "{'redshifts/bias_abs': 0.074454665184021, 'redshifts/bias_abs_bin_0': 0.14627860486507416, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.003819367615506053, 'redshifts/bias_bin_0': 0.029021700844168663, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0014216684503480792, 'redshifts/mse': 0.3090375065803528, 'redshifts/mse_bin_0': 0.4350155293941498, 'redshifts/mse_bin_1': 0.36086246371269226, 'redshifts/mse_bin_2': 0.2638508379459381, 'redshifts/mse_bin_3': 0.22804127633571625, 'redshifts/mse_bin_4': 0.26809725165367126, 'redshifts/mse_bin_5': 0.07402165979146957, 'redshifts/nmad': 0.11078575998544693, 'redshifts/nmad_bin_0': 0.21409651637077332, 'redshifts/nmad_bin_1': 0.13516269624233246, 'redshifts/nmad_bin_2': 0.0832255408167839, 'redshifts/nmad_bin_3': 0.06828584522008896, 'redshifts/nmad_bin_4': 0.059675417840480804, 'redshifts/nmad_bin_5': 0.0349774993956089, 'redshifts/outlier_fraction': 0.32554593682289124, 'redshifts/outlier_fraction_bin_0': 0.4918253421783447, 'redshifts/outlier_fraction_bin_1': 0.35320839285850525, 'redshifts/outlier_fraction_bin_2': 0.2488262951374054, 'redshifts/outlier_fraction_bin_3': 0.19602978229522705, 'redshifts/outlier_fraction_bin_4': 0.17611336708068848, 'redshifts/outlier_fraction_bin_5': 0.09577754884958267, 'redshifts/outlier_fraction_cata': 0.08790294826030731, 'redshifts/outlier_fraction_cata_bin_0': 0.12790921330451965, 'redshifts/outlier_fraction_cata_bin_1': 0.10051107406616211, 'redshifts/outlier_fraction_cata_bin_2': 0.07645875215530396, 'redshifts/outlier_fraction_cata_bin_3': 0.0595533512532711, 'redshifts/outlier_fraction_cata_bin_4': 0.06882590800523758, 'redshifts/outlier_fraction_cata_bin_5': 0.018194301053881645}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 58%|█████▊ | 224/383 [10:23:53<7:13:51, 163.72s/it]" + " 14%|█▍ | 219/1563 [18:45<2:10:55, 5.85s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([43497.])\n", - "{'redshifts/mse': 0.28110814094543457}\n" + "total num of pts: tensor([14477.])\n", + "total num of pts: tensor([5212., 3538., 1496., 808., 497., 2926.])\n", + "{'redshifts/bias_abs': 0.07440409064292908, 'redshifts/bias_abs_bin_0': 0.14588676393032074, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.003794772317633033, 'redshifts/bias_bin_0': 0.02893446385860443, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013991594314575195, 'redshifts/mse': 0.30883467197418213, 'redshifts/mse_bin_0': 0.43459782004356384, 'redshifts/mse_bin_1': 0.3597118854522705, 'redshifts/mse_bin_2': 0.26463690400123596, 'redshifts/mse_bin_3': 0.23274141550064087, 'redshifts/mse_bin_4': 0.26648426055908203, 'redshifts/mse_bin_5': 0.07410278916358948, 'redshifts/nmad': 0.11072560399770737, 'redshifts/nmad_bin_0': 0.2133093625307083, 'redshifts/nmad_bin_1': 0.135208398103714, 'redshifts/nmad_bin_2': 0.08316954970359802, 'redshifts/nmad_bin_3': 0.06827620416879654, 'redshifts/nmad_bin_4': 0.05959649011492729, 'redshifts/nmad_bin_5': 0.03494412824511528, 'redshifts/outlier_fraction': 0.32541272044181824, 'redshifts/outlier_fraction_bin_0': 0.49136608839035034, 'redshifts/outlier_fraction_bin_1': 0.35358959436416626, 'redshifts/outlier_fraction_bin_2': 0.24866309762001038, 'redshifts/outlier_fraction_bin_3': 0.1967821717262268, 'redshifts/outlier_fraction_bin_4': 0.1750503033399582, 'redshifts/outlier_fraction_bin_5': 0.09603554010391235, 'redshifts/outlier_fraction_cata': 0.0878635048866272, 'redshifts/outlier_fraction_cata_bin_0': 0.12778204679489136, 'redshifts/outlier_fraction_cata_bin_1': 0.10005652904510498, 'redshifts/outlier_fraction_cata_bin_2': 0.07687165588140488, 'redshifts/outlier_fraction_cata_bin_3': 0.06064356490969658, 'redshifts/outlier_fraction_cata_bin_4': 0.0684104636311531, 'redshifts/outlier_fraction_cata_bin_5': 0.018455229699611664}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 59%|█████▊ | 225/383 [10:26:41<7:14:16, 164.91s/it]" + " 14%|█▍ | 220/1563 [18:51<2:10:46, 5.84s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([43678.])\n", - "{'redshifts/mse': 0.2814843952655792}\n" + "total num of pts: tensor([14528.])\n", + "total num of pts: tensor([5232., 3548., 1503., 811., 499., 2935.])\n", + "{'redshifts/bias_abs': 0.07437103241682053, 'redshifts/bias_abs_bin_0': 0.14590410888195038, 'redshifts/bias_abs_bin_1': 0.08978859335184097, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.0037245284765958786, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0012994504068046808, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.001398789812810719, 'redshifts/mse': 0.3085879981517792, 'redshifts/mse_bin_0': 0.4345603287220001, 'redshifts/mse_bin_1': 0.3587535619735718, 'redshifts/mse_bin_2': 0.2634407579898834, 'redshifts/mse_bin_3': 0.2320890575647354, 'redshifts/mse_bin_4': 0.2654263973236084, 'redshifts/mse_bin_5': 0.07498135417699814, 'redshifts/nmad': 0.11042917519807816, 'redshifts/nmad_bin_0': 0.21377940475940704, 'redshifts/nmad_bin_1': 0.13473379611968994, 'redshifts/nmad_bin_2': 0.08277380466461182, 'redshifts/nmad_bin_3': 0.06879027932882309, 'redshifts/nmad_bin_4': 0.05956748500466347, 'redshifts/nmad_bin_5': 0.03475217521190643, 'redshifts/outlier_fraction': 0.32509636878967285, 'redshifts/outlier_fraction_bin_0': 0.4915902018547058, 'redshifts/outlier_fraction_bin_1': 0.35259300470352173, 'redshifts/outlier_fraction_bin_2': 0.24750499427318573, 'redshifts/outlier_fraction_bin_3': 0.19605425000190735, 'redshifts/outlier_fraction_bin_4': 0.17434869706630707, 'redshifts/outlier_fraction_bin_5': 0.09608177095651627, 'redshifts/outlier_fraction_cata': 0.08789923042058945, 'redshifts/outlier_fraction_cata_bin_0': 0.12805810570716858, 'redshifts/outlier_fraction_cata_bin_1': 0.09977452456951141, 'redshifts/outlier_fraction_cata_bin_2': 0.07651364058256149, 'redshifts/outlier_fraction_cata_bin_3': 0.0604192353785038, 'redshifts/outlier_fraction_cata_bin_4': 0.06813627481460571, 'redshifts/outlier_fraction_cata_bin_5': 0.018739352002739906}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 59%|█████▉ | 226/383 [10:29:19<7:06:21, 162.94s/it]" + " 14%|█▍ | 221/1563 [18:55<2:04:44, 5.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([43874.])\n", - "{'redshifts/mse': 0.28120169043540955}\n" + "total num of pts: tensor([14588.])\n", + "total num of pts: tensor([5256., 3564., 1510., 815., 500., 2943.])\n", + "{'redshifts/bias_abs': 0.07440260797739029, 'redshifts/bias_abs_bin_0': 0.14590410888195038, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.0037216036580502987, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.0051706586964428425, 'redshifts/bias_bin_5': -0.0013991594314575195, 'redshifts/mse': 0.30890756845474243, 'redshifts/mse_bin_0': 0.435533344745636, 'redshifts/mse_bin_1': 0.3585103750228882, 'redshifts/mse_bin_2': 0.26279354095458984, 'redshifts/mse_bin_3': 0.2325650304555893, 'redshifts/mse_bin_4': 0.26490235328674316, 'redshifts/mse_bin_5': 0.07497236877679825, 'redshifts/nmad': 0.11062914878129959, 'redshifts/nmad_bin_0': 0.2140561044216156, 'redshifts/nmad_bin_1': 0.1348290592432022, 'redshifts/nmad_bin_2': 0.0822492316365242, 'redshifts/nmad_bin_3': 0.06879027932882309, 'redshifts/nmad_bin_4': 0.05937890335917473, 'redshifts/nmad_bin_5': 0.03494412824511528, 'redshifts/outlier_fraction': 0.32540443539619446, 'redshifts/outlier_fraction_bin_0': 0.4914383590221405, 'redshifts/outlier_fraction_bin_1': 0.3532547652721405, 'redshifts/outlier_fraction_bin_2': 0.24701987206935883, 'redshifts/outlier_fraction_bin_3': 0.19631901383399963, 'redshifts/outlier_fraction_bin_4': 0.17399999499320984, 'redshifts/outlier_fraction_bin_5': 0.09683995693922043, 'redshifts/outlier_fraction_cata': 0.08815465122461319, 'redshifts/outlier_fraction_cata_bin_0': 0.12861491739749908, 'redshifts/outlier_fraction_cata_bin_1': 0.09988776594400406, 'redshifts/outlier_fraction_cata_bin_2': 0.07615894079208374, 'redshifts/outlier_fraction_cata_bin_3': 0.061349693685770035, 'redshifts/outlier_fraction_cata_bin_4': 0.06800000369548798, 'redshifts/outlier_fraction_cata_bin_5': 0.018688412383198738}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 59%|█████▉ | 227/383 [10:32:06<7:06:26, 164.02s/it]" + " 14%|█▍ | 222/1563 [19:00<1:59:43, 5.36s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([44071.])\n", - "{'redshifts/mse': 0.2811962068080902}\n" + "total num of pts: tensor([14644.])\n", + "total num of pts: tensor([5278., 3574., 1514., 817., 501., 2960.])\n", + "{'redshifts/bias_abs': 0.07438219338655472, 'redshifts/bias_abs_bin_0': 0.14590410888195038, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.0037223261315375566, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.0051706586964428425, 'redshifts/bias_bin_5': -0.001398789812810719, 'redshifts/mse': 0.3092004656791687, 'redshifts/mse_bin_0': 0.4367639720439911, 'redshifts/mse_bin_1': 0.3584471642971039, 'redshifts/mse_bin_2': 0.26217374205589294, 'redshifts/mse_bin_3': 0.23200708627700806, 'redshifts/mse_bin_4': 0.2643952965736389, 'redshifts/mse_bin_5': 0.07522358000278473, 'redshifts/nmad': 0.11057441681623459, 'redshifts/nmad_bin_0': 0.21433424949645996, 'redshifts/nmad_bin_1': 0.13494503498077393, 'redshifts/nmad_bin_2': 0.0822492316365242, 'redshifts/nmad_bin_3': 0.06879027932882309, 'redshifts/nmad_bin_4': 0.059530191123485565, 'redshifts/nmad_bin_5': 0.03470154106616974, 'redshifts/outlier_fraction': 0.32552582025527954, 'redshifts/outlier_fraction_bin_0': 0.4914740324020386, 'redshifts/outlier_fraction_bin_1': 0.35422495007514954, 'redshifts/outlier_fraction_bin_2': 0.24702773988246918, 'redshifts/outlier_fraction_bin_3': 0.19583843648433685, 'redshifts/outlier_fraction_bin_4': 0.17365269362926483, 'redshifts/outlier_fraction_bin_5': 0.09662162512540817, 'redshifts/outlier_fraction_cata': 0.08836383372545242, 'redshifts/outlier_fraction_cata_bin_0': 0.12921561300754547, 'redshifts/outlier_fraction_cata_bin_1': 0.09988807886838913, 'redshifts/outlier_fraction_cata_bin_2': 0.07595773041248322, 'redshifts/outlier_fraction_cata_bin_3': 0.06119950860738754, 'redshifts/outlier_fraction_cata_bin_4': 0.06786426901817322, 'redshifts/outlier_fraction_cata_bin_5': 0.018918918445706367}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 60%|█████▉ | 228/383 [10:34:43<6:58:31, 162.01s/it]" + " 14%|█▍ | 223/1563 [19:06<2:00:46, 5.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([44273.])\n", - "{'redshifts/mse': 0.2808944284915924}\n" + "total num of pts: tensor([14715.])\n", + "total num of pts: tensor([5308., 3595., 1520., 820., 504., 2968.])\n", + "{'redshifts/bias_abs': 0.07438219338655472, 'redshifts/bias_abs_bin_0': 0.14590410888195038, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.003779316321015358, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.0017093498026952147, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.0051706586964428425, 'redshifts/bias_bin_5': -0.001398789812810719, 'redshifts/mse': 0.30888131260871887, 'redshifts/mse_bin_0': 0.4364830553531647, 'redshifts/mse_bin_1': 0.35735535621643066, 'redshifts/mse_bin_2': 0.26223596930503845, 'redshifts/mse_bin_3': 0.23122528195381165, 'redshifts/mse_bin_4': 0.263413667678833, 'redshifts/mse_bin_5': 0.07502799481153488, 'redshifts/nmad': 0.11048991978168488, 'redshifts/nmad_bin_0': 0.21470803022384644, 'redshifts/nmad_bin_1': 0.13465601205825806, 'redshifts/nmad_bin_2': 0.08219870924949646, 'redshifts/nmad_bin_3': 0.06875547021627426, 'redshifts/nmad_bin_4': 0.059530191123485565, 'redshifts/nmad_bin_5': 0.034651339054107666, 'redshifts/outlier_fraction': 0.3255181908607483, 'redshifts/outlier_fraction_bin_0': 0.4915222227573395, 'redshifts/outlier_fraction_bin_1': 0.3535465896129608, 'redshifts/outlier_fraction_bin_2': 0.24736842513084412, 'redshifts/outlier_fraction_bin_3': 0.19512194395065308, 'redshifts/outlier_fraction_bin_4': 0.1746031790971756, 'redshifts/outlier_fraction_bin_5': 0.0963611826300621, 'redshifts/outlier_fraction_cata': 0.0883452296257019, 'redshifts/outlier_fraction_cata_bin_0': 0.12923888862133026, 'redshifts/outlier_fraction_cata_bin_1': 0.09958275407552719, 'redshifts/outlier_fraction_cata_bin_2': 0.07631579041481018, 'redshifts/outlier_fraction_cata_bin_3': 0.060975611209869385, 'redshifts/outlier_fraction_cata_bin_4': 0.0674603208899498, 'redshifts/outlier_fraction_cata_bin_5': 0.01886792480945587}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 60%|█████▉ | 229/383 [10:37:27<6:57:39, 162.72s/it]" + " 14%|█▍ | 224/1563 [19:12<2:07:19, 5.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([44456.])\n", - "{'redshifts/mse': 0.2810107469558716}\n" + "total num of pts: tensor([14771.])\n", + "total num of pts: tensor([5329., 3611., 1526., 822., 507., 2976.])\n", + "{'redshifts/bias_abs': 0.0744270533323288, 'redshifts/bias_abs_bin_0': 0.1459546834230423, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05685897916555405, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.003768597263842821, 'redshifts/bias_bin_0': 0.029021700844168663, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013991594314575195, 'redshifts/mse': 0.30916398763656616, 'redshifts/mse_bin_0': 0.43643757700920105, 'redshifts/mse_bin_1': 0.35880523920059204, 'redshifts/mse_bin_2': 0.26209017634391785, 'redshifts/mse_bin_3': 0.2308960109949112, 'redshifts/mse_bin_4': 0.26190900802612305, 'redshifts/mse_bin_5': 0.07483506202697754, 'redshifts/nmad': 0.11069882661104202, 'redshifts/nmad_bin_0': 0.21487461030483246, 'redshifts/nmad_bin_1': 0.13516689836978912, 'redshifts/nmad_bin_2': 0.08271484822034836, 'redshifts/nmad_bin_3': 0.06950097531080246, 'redshifts/nmad_bin_4': 0.05959281697869301, 'redshifts/nmad_bin_5': 0.03465188667178154, 'redshifts/outlier_fraction': 0.32584118843078613, 'redshifts/outlier_fraction_bin_0': 0.49164947867393494, 'redshifts/outlier_fraction_bin_1': 0.35447245836257935, 'redshifts/outlier_fraction_bin_2': 0.24770642817020416, 'redshifts/outlier_fraction_bin_3': 0.1958637535572052, 'redshifts/outlier_fraction_bin_4': 0.17357002198696136, 'redshifts/outlier_fraction_bin_5': 0.09610214829444885, 'redshifts/outlier_fraction_cata': 0.08848419040441513, 'redshifts/outlier_fraction_cata_bin_0': 0.12948019802570343, 'redshifts/outlier_fraction_cata_bin_1': 0.09997230768203735, 'redshifts/outlier_fraction_cata_bin_2': 0.07601572573184967, 'redshifts/outlier_fraction_cata_bin_3': 0.06082725152373314, 'redshifts/outlier_fraction_cata_bin_4': 0.06706114113330841, 'redshifts/outlier_fraction_cata_bin_5': 0.018817204982042313}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 60%|██████ | 230/383 [10:40:02<6:48:41, 160.27s/it]" + " 14%|█▍ | 225/1563 [19:18<2:09:40, 5.81s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([44651.])\n", - "{'redshifts/mse': 0.2815176248550415}\n" + "total num of pts: tensor([14838.])\n", + "total num of pts: tensor([5355., 3629., 1532., 825., 508., 2989.])\n", + "{'redshifts/bias_abs': 0.07440260797739029, 'redshifts/bias_abs_bin_0': 0.1459546834230423, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.003794772317633033, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0012994504068046808, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013793964171782136, 'redshifts/mse': 0.3091029226779938, 'redshifts/mse_bin_0': 0.4363587200641632, 'redshifts/mse_bin_1': 0.35933682322502136, 'redshifts/mse_bin_2': 0.2612846791744232, 'redshifts/mse_bin_3': 0.23018598556518555, 'redshifts/mse_bin_4': 0.2613990306854248, 'redshifts/mse_bin_5': 0.07452544569969177, 'redshifts/nmad': 0.11070601642131805, 'redshifts/nmad_bin_0': 0.21481119096279144, 'redshifts/nmad_bin_1': 0.13498851656913757, 'redshifts/nmad_bin_2': 0.08277380466461182, 'redshifts/nmad_bin_3': 0.06960479170084, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.034654852002859116, 'redshifts/outlier_fraction': 0.32578516006469727, 'redshifts/outlier_fraction_bin_0': 0.4916900098323822, 'redshifts/outlier_fraction_bin_1': 0.35436758399009705, 'redshifts/outlier_fraction_bin_2': 0.2473890334367752, 'redshifts/outlier_fraction_bin_3': 0.1963636428117752, 'redshifts/outlier_fraction_bin_4': 0.17322835326194763, 'redshifts/outlier_fraction_bin_5': 0.09568417817354202, 'redshifts/outlier_fraction_cata': 0.08842162042856216, 'redshifts/outlier_fraction_cata_bin_0': 0.12941177189350128, 'redshifts/outlier_fraction_cata_bin_1': 0.10002755373716354, 'redshifts/outlier_fraction_cata_bin_2': 0.07571801543235779, 'redshifts/outlier_fraction_cata_bin_3': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_4': 0.06692913174629211, 'redshifts/outlier_fraction_cata_bin_5': 0.018735362216830254}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 60%|██████ | 231/383 [10:42:41<6:45:33, 160.09s/it]" + " 14%|█▍ | 226/1563 [19:23<1:58:56, 5.34s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([44867.])\n", - "{'redshifts/mse': 0.28165826201438904}\n" + "total num of pts: tensor([14899.])\n", + "total num of pts: tensor([5379., 3649., 1537., 826., 509., 2999.])\n", + "{'redshifts/bias_abs': 0.07438219338655472, 'redshifts/bias_abs_bin_0': 0.1457652896642685, 'redshifts/bias_abs_bin_1': 0.08978859335184097, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.003794772317633033, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.0009661135263741016, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013793964171782136, 'redshifts/mse': 0.3084297478199005, 'redshifts/mse_bin_0': 0.43531256914138794, 'redshifts/mse_bin_1': 0.3578614294528961, 'redshifts/mse_bin_2': 0.26177892088890076, 'redshifts/mse_bin_3': 0.22990849614143372, 'redshifts/mse_bin_4': 0.26088908314704895, 'redshifts/mse_bin_5': 0.07431335747241974, 'redshifts/nmad': 0.11046700179576874, 'redshifts/nmad_bin_0': 0.21418367326259613, 'redshifts/nmad_bin_1': 0.13450001180171967, 'redshifts/nmad_bin_2': 0.08345184475183487, 'redshifts/nmad_bin_3': 0.06889409571886063, 'redshifts/nmad_bin_4': 0.05957115441560745, 'redshifts/nmad_bin_5': 0.034612417221069336, 'redshifts/outlier_fraction': 0.32532384991645813, 'redshifts/outlier_fraction_bin_0': 0.49116936326026917, 'redshifts/outlier_fraction_bin_1': 0.3526993691921234, 'redshifts/outlier_fraction_bin_2': 0.2485361099243164, 'redshifts/outlier_fraction_bin_3': 0.19612590968608856, 'redshifts/outlier_fraction_bin_4': 0.17288801074028015, 'redshifts/outlier_fraction_bin_5': 0.09536512196063995, 'redshifts/outlier_fraction_cata': 0.08832807838916779, 'redshifts/outlier_fraction_cata_bin_0': 0.12920616567134857, 'redshifts/outlier_fraction_cata_bin_1': 0.09975335747003555, 'redshifts/outlier_fraction_cata_bin_2': 0.07612231373786926, 'redshifts/outlier_fraction_cata_bin_3': 0.06053268909454346, 'redshifts/outlier_fraction_cata_bin_4': 0.0667976438999176, 'redshifts/outlier_fraction_cata_bin_5': 0.018672890961170197}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 61%|██████ | 232/383 [10:45:20<6:41:51, 159.68s/it]" + " 15%|█▍ | 227/1563 [19:28<1:58:25, 5.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([45058.])\n", - "{'redshifts/mse': 0.2817554771900177}\n" + "total num of pts: tensor([14956.])\n", + "total num of pts: tensor([5399., 3661., 1544., 828., 511., 3013.])\n", + "{'redshifts/bias_abs': 0.07439469546079636, 'redshifts/bias_abs_bin_0': 0.14588676393032074, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.0038210712373256683, 'redshifts/bias_bin_0': 0.02893446385860443, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0012994504068046808, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.001303885830566287, 'redshifts/mse': 0.30935993790626526, 'redshifts/mse_bin_0': 0.4359516501426697, 'redshifts/mse_bin_1': 0.3590051531791687, 'redshifts/mse_bin_2': 0.26414573192596436, 'redshifts/mse_bin_3': 0.22937116026878357, 'redshifts/mse_bin_4': 0.2601051330566406, 'redshifts/mse_bin_5': 0.0757039487361908, 'redshifts/nmad': 0.11054683476686478, 'redshifts/nmad_bin_0': 0.21464213728904724, 'redshifts/nmad_bin_1': 0.13437119126319885, 'redshifts/nmad_bin_2': 0.08349259942770004, 'redshifts/nmad_bin_3': 0.06850768625736237, 'redshifts/nmad_bin_4': 0.05959281697869301, 'redshifts/nmad_bin_5': 0.03461147099733353, 'redshifts/outlier_fraction': 0.3254212439060211, 'redshifts/outlier_fraction_bin_0': 0.4913873076438904, 'redshifts/outlier_fraction_bin_1': 0.35318219661712646, 'redshifts/outlier_fraction_bin_2': 0.24805699288845062, 'redshifts/outlier_fraction_bin_3': 0.19565217196941376, 'redshifts/outlier_fraction_bin_4': 0.17221134901046753, 'redshifts/outlier_fraction_bin_5': 0.09558579325675964, 'redshifts/outlier_fraction_cata': 0.08845948427915573, 'redshifts/outlier_fraction_cata_bin_0': 0.12928320467472076, 'redshifts/outlier_fraction_cata_bin_1': 0.0999726876616478, 'redshifts/outlier_fraction_cata_bin_2': 0.07642486691474915, 'redshifts/outlier_fraction_cata_bin_3': 0.060386475175619125, 'redshifts/outlier_fraction_cata_bin_4': 0.06653620302677155, 'redshifts/outlier_fraction_cata_bin_5': 0.018918022513389587}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 61%|██████ | 233/383 [10:48:00<6:39:16, 159.71s/it]" + " 15%|█▍ | 228/1563 [19:35<2:08:08, 5.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([45260.])\n", - "{'redshifts/mse': 0.28189176321029663}\n" + "total num of pts: tensor([15010.])\n", + "total num of pts: tensor([5420., 3671., 1557., 828., 513., 3021.])\n", + "{'redshifts/bias_abs': 0.07443887740373611, 'redshifts/bias_abs_bin_0': 0.1459546834230423, 'redshifts/bias_abs_bin_1': 0.08978859335184097, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.003819367615506053, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0015287860296666622, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.3090633451938629, 'redshifts/mse_bin_0': 0.43578439950942993, 'redshifts/mse_bin_1': 0.3582024574279785, 'redshifts/mse_bin_2': 0.2636336088180542, 'redshifts/mse_bin_3': 0.22937116026878357, 'redshifts/mse_bin_4': 0.259265661239624, 'redshifts/mse_bin_5': 0.07571417838335037, 'redshifts/nmad': 0.11077409982681274, 'redshifts/nmad_bin_0': 0.21433424949645996, 'redshifts/nmad_bin_1': 0.1340889185667038, 'redshifts/nmad_bin_2': 0.0834101065993309, 'redshifts/nmad_bin_3': 0.06850768625736237, 'redshifts/nmad_bin_4': 0.059675417840480804, 'redshifts/nmad_bin_5': 0.034607574343681335, 'redshifts/outlier_fraction': 0.32544970512390137, 'redshifts/outlier_fraction_bin_0': 0.4915129244327545, 'redshifts/outlier_fraction_bin_1': 0.3524925112724304, 'redshifts/outlier_fraction_bin_2': 0.24791264533996582, 'redshifts/outlier_fraction_bin_3': 0.19565217196941376, 'redshifts/outlier_fraction_bin_4': 0.1734892725944519, 'redshifts/outlier_fraction_bin_5': 0.09599470347166061, 'redshifts/outlier_fraction_cata': 0.0883411094546318, 'redshifts/outlier_fraction_cata_bin_0': 0.12915128469467163, 'redshifts/outlier_fraction_cata_bin_1': 0.09970035403966904, 'redshifts/outlier_fraction_cata_bin_2': 0.07642903178930283, 'redshifts/outlier_fraction_cata_bin_3': 0.060386475175619125, 'redshifts/outlier_fraction_cata_bin_4': 0.06627680361270905, 'redshifts/outlier_fraction_cata_bin_5': 0.01886792480945587}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 61%|██████ | 234/383 [10:50:38<6:35:18, 159.18s/it]" + " 15%|█▍ | 229/1563 [19:41<2:09:41, 5.83s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([45458.])\n", - "{'redshifts/mse': 0.28215646743774414}\n" + "total num of pts: tensor([15062.])\n", + "total num of pts: tensor([5438., 3684., 1565., 830., 515., 3030.])\n", + "{'redshifts/bias_abs': 0.07438219338655472, 'redshifts/bias_abs_bin_0': 0.14573726058006287, 'redshifts/bias_abs_bin_1': 0.08957736194133759, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.0037496243603527546, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.001303885830566287, 'redshifts/mse': 0.3084767758846283, 'redshifts/mse_bin_0': 0.4352796673774719, 'redshifts/mse_bin_1': 0.35722583532333374, 'redshifts/mse_bin_2': 0.26253196597099304, 'redshifts/mse_bin_3': 0.22896113991737366, 'redshifts/mse_bin_4': 0.2583339512348175, 'redshifts/mse_bin_5': 0.07566595077514648, 'redshifts/nmad': 0.11043795943260193, 'redshifts/nmad_bin_0': 0.21393263339996338, 'redshifts/nmad_bin_1': 0.133914053440094, 'redshifts/nmad_bin_2': 0.08316954970359802, 'redshifts/nmad_bin_3': 0.06890372931957245, 'redshifts/nmad_bin_4': 0.060133520513772964, 'redshifts/nmad_bin_5': 0.03461147099733353, 'redshifts/outlier_fraction': 0.3251228332519531, 'redshifts/outlier_fraction_bin_0': 0.490805447101593, 'redshifts/outlier_fraction_bin_1': 0.35179153084754944, 'redshifts/outlier_fraction_bin_2': 0.2479233294725418, 'redshifts/outlier_fraction_bin_3': 0.19638554751873016, 'redshifts/outlier_fraction_bin_4': 0.17281553149223328, 'redshifts/outlier_fraction_bin_5': 0.09636963903903961, 'redshifts/outlier_fraction_cata': 0.08810251206159592, 'redshifts/outlier_fraction_cata_bin_0': 0.1289076805114746, 'redshifts/outlier_fraction_cata_bin_1': 0.0993485376238823, 'redshifts/outlier_fraction_cata_bin_2': 0.07603833824396133, 'redshifts/outlier_fraction_cata_bin_3': 0.0602409653365612, 'redshifts/outlier_fraction_cata_bin_4': 0.06601941585540771, 'redshifts/outlier_fraction_cata_bin_5': 0.01881188154220581}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 61%|██████▏ | 235/383 [10:53:08<6:25:44, 156.38s/it]" + " 15%|█▍ | 230/1563 [19:50<2:29:53, 6.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([45645.])\n", - "{'redshifts/mse': 0.28218093514442444}\n" + "total num of pts: tensor([15119.])\n", + "total num of pts: tensor([5464., 3693., 1572., 831., 518., 3041.])\n", + "{'redshifts/bias_abs': 0.07442748546600342, 'redshifts/bias_abs_bin_0': 0.14573726058006287, 'redshifts/bias_abs_bin_1': 0.08959982544183731, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.0037245284765958786, 'redshifts/bias_bin_0': 0.028232475742697716, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0016532719600945711, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013427960220724344, 'redshifts/mse': 0.30832985043525696, 'redshifts/mse_bin_0': 0.4351962208747864, 'redshifts/mse_bin_1': 0.35718369483947754, 'redshifts/mse_bin_2': 0.26205694675445557, 'redshifts/mse_bin_3': 0.22875802218914032, 'redshifts/mse_bin_4': 0.2569360136985779, 'redshifts/mse_bin_5': 0.07547074556350708, 'redshifts/nmad': 0.11066880077123642, 'redshifts/nmad_bin_0': 0.21402853727340698, 'redshifts/nmad_bin_1': 0.13400565087795258, 'redshifts/nmad_bin_2': 0.08316954970359802, 'redshifts/nmad_bin_3': 0.06961442530155182, 'redshifts/nmad_bin_4': 0.059675417840480804, 'redshifts/nmad_bin_5': 0.03464244306087494, 'redshifts/outlier_fraction': 0.32528606057167053, 'redshifts/outlier_fraction_bin_0': 0.49084919691085815, 'redshifts/outlier_fraction_bin_1': 0.352017343044281, 'redshifts/outlier_fraction_bin_2': 0.2487277388572693, 'redshifts/outlier_fraction_bin_3': 0.19614921510219574, 'redshifts/outlier_fraction_bin_4': 0.1718146651983261, 'redshifts/outlier_fraction_bin_5': 0.09634988754987717, 'redshifts/outlier_fraction_cata': 0.08810106664896011, 'redshifts/outlier_fraction_cata_bin_0': 0.1290263533592224, 'redshifts/outlier_fraction_cata_bin_1': 0.09937720000743866, 'redshifts/outlier_fraction_cata_bin_2': 0.07569974660873413, 'redshifts/outlier_fraction_cata_bin_3': 0.060168471187353134, 'redshifts/outlier_fraction_cata_bin_4': 0.06563706696033478, 'redshifts/outlier_fraction_cata_bin_5': 0.018743833526968956}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 62%|██████▏ | 236/383 [10:55:48<6:25:52, 157.50s/it]" + " 15%|█▍ | 231/1563 [19:55<2:19:39, 6.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([45816.])\n", - "{'redshifts/mse': 0.2825356423854828}\n" + "total num of pts: tensor([15175.])\n", + "total num of pts: tensor([5487., 3704., 1576., 835., 519., 3054.])\n", + "{'redshifts/bias_abs': 0.07447163760662079, 'redshifts/bias_abs_bin_0': 0.1459546834230423, 'redshifts/bias_abs_bin_1': 0.08959982544183731, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.0037496243603527546, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013025092193856835, 'redshifts/mse': 0.3090301752090454, 'redshifts/mse_bin_0': 0.43725669384002686, 'redshifts/mse_bin_1': 0.35758888721466064, 'redshifts/mse_bin_2': 0.26172077655792236, 'redshifts/mse_bin_3': 0.2277648150920868, 'redshifts/mse_bin_4': 0.2564428746700287, 'redshifts/mse_bin_5': 0.0753273069858551, 'redshifts/nmad': 0.11074832826852798, 'redshifts/nmad_bin_0': 0.215076744556427, 'redshifts/nmad_bin_1': 0.1340215802192688, 'redshifts/nmad_bin_2': 0.08324242383241653, 'redshifts/nmad_bin_3': 0.06890372931957245, 'redshifts/nmad_bin_4': 0.059675417840480804, 'redshifts/nmad_bin_5': 0.03460942953824997, 'redshifts/outlier_fraction': 0.3255354166030884, 'redshifts/outlier_fraction_bin_0': 0.49152541160583496, 'redshifts/outlier_fraction_bin_1': 0.35205182433128357, 'redshifts/outlier_fraction_bin_2': 0.24936547875404358, 'redshifts/outlier_fraction_bin_3': 0.1952095776796341, 'redshifts/outlier_fraction_bin_4': 0.1714836210012436, 'redshifts/outlier_fraction_bin_5': 0.09626719355583191, 'redshifts/outlier_fraction_cata': 0.08836902678012848, 'redshifts/outlier_fraction_cata_bin_0': 0.1297612488269806, 'redshifts/outlier_fraction_cata_bin_1': 0.09962203353643417, 'redshifts/outlier_fraction_cata_bin_2': 0.07550761103630066, 'redshifts/outlier_fraction_cata_bin_3': 0.05988023802638054, 'redshifts/outlier_fraction_cata_bin_4': 0.06551060080528259, 'redshifts/outlier_fraction_cata_bin_5': 0.018664047122001648}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 62%|██████▏ | 237/383 [10:58:30<6:26:29, 158.83s/it]" + " 15%|█▍ | 232/1563 [19:59<2:06:33, 5.70s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([46019.])\n", - "{'redshifts/mse': 0.2828160226345062}\n" + "total num of pts: tensor([15225.])\n", + "total num of pts: tensor([5504., 3719., 1584., 838., 520., 3060.])\n", + "{'redshifts/bias_abs': 0.07442748546600342, 'redshifts/bias_abs_bin_0': 0.14573726058006287, 'redshifts/bias_abs_bin_1': 0.08940573036670685, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.003794772317633033, 'redshifts/bias_bin_0': 0.028852520510554314, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.0017093498026952147, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.30835673213005066, 'redshifts/mse_bin_0': 0.436654657125473, 'redshifts/mse_bin_1': 0.35636383295059204, 'redshifts/mse_bin_2': 0.2605094611644745, 'redshifts/mse_bin_3': 0.22699950635433197, 'redshifts/mse_bin_4': 0.2559555172920227, 'redshifts/mse_bin_5': 0.07519619166851044, 'redshifts/nmad': 0.11072560399770737, 'redshifts/nmad_bin_0': 0.2145206332206726, 'redshifts/nmad_bin_1': 0.13362734019756317, 'redshifts/nmad_bin_2': 0.08314240723848343, 'redshifts/nmad_bin_3': 0.06899428367614746, 'redshifts/nmad_bin_4': 0.05959649011492729, 'redshifts/nmad_bin_5': 0.034607574343681335, 'redshifts/outlier_fraction': 0.32492610812187195, 'redshifts/outlier_fraction_bin_0': 0.4909156858921051, 'redshifts/outlier_fraction_bin_1': 0.3511696755886078, 'redshifts/outlier_fraction_bin_2': 0.24810606241226196, 'redshifts/outlier_fraction_bin_3': 0.19451074302196503, 'redshifts/outlier_fraction_bin_4': 0.17115384340286255, 'redshifts/outlier_fraction_bin_5': 0.09607843309640884, 'redshifts/outlier_fraction_cata': 0.08814449608325958, 'redshifts/outlier_fraction_cata_bin_0': 0.12954215705394745, 'redshifts/outlier_fraction_cata_bin_1': 0.09922022372484207, 'redshifts/outlier_fraction_cata_bin_2': 0.07512626051902771, 'redshifts/outlier_fraction_cata_bin_3': 0.05966586992144585, 'redshifts/outlier_fraction_cata_bin_4': 0.06538461893796921, 'redshifts/outlier_fraction_cata_bin_5': 0.018627451732754707}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 62%|██████▏ | 238/383 [11:01:09<6:24:02, 158.91s/it]" + " 15%|█▍ | 233/1563 [20:03<1:54:41, 5.17s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([46224.])\n", - "{'redshifts/mse': 0.2826530635356903}\n" + "total num of pts: tensor([15269.])\n", + "total num of pts: tensor([5519., 3730., 1587., 842., 521., 3070.])\n", + "{'redshifts/bias_abs': 0.07443887740373611, 'redshifts/bias_abs_bin_0': 0.14573726058006287, 'redshifts/bias_abs_bin_1': 0.08924205601215363, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.0037233708426356316, 'redshifts/bias_bin_0': 0.02893446385860443, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013640722027048469, 'redshifts/mse': 0.3081032335758209, 'redshifts/mse_bin_0': 0.4363478124141693, 'redshifts/mse_bin_1': 0.35562705993652344, 'redshifts/mse_bin_2': 0.26109445095062256, 'redshifts/mse_bin_3': 0.22769248485565186, 'redshifts/mse_bin_4': 0.25599750876426697, 'redshifts/mse_bin_5': 0.0750129297375679, 'redshifts/nmad': 0.11063478142023087, 'redshifts/nmad_bin_0': 0.21451511979103088, 'redshifts/nmad_bin_1': 0.1334836632013321, 'redshifts/nmad_bin_2': 0.08365441113710403, 'redshifts/nmad_bin_3': 0.06899428367614746, 'redshifts/nmad_bin_4': 0.05967908725142479, 'redshifts/nmad_bin_5': 0.03463513404130936, 'redshifts/outlier_fraction': 0.32490667700767517, 'redshifts/outlier_fraction_bin_0': 0.4908497929573059, 'redshifts/outlier_fraction_bin_1': 0.3509383499622345, 'redshifts/outlier_fraction_bin_2': 0.24889728426933289, 'redshifts/outlier_fraction_bin_3': 0.1947743445634842, 'redshifts/outlier_fraction_bin_4': 0.1727447211742401, 'redshifts/outlier_fraction_bin_5': 0.09576547145843506, 'redshifts/outlier_fraction_cata': 0.08815246820449829, 'redshifts/outlier_fraction_cata_bin_0': 0.1295524537563324, 'redshifts/outlier_fraction_cata_bin_1': 0.09892761707305908, 'redshifts/outlier_fraction_cata_bin_2': 0.07561437040567398, 'redshifts/outlier_fraction_cata_bin_3': 0.06057007238268852, 'redshifts/outlier_fraction_cata_bin_4': 0.06525911390781403, 'redshifts/outlier_fraction_cata_bin_5': 0.01856677606701851}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 62%|██████▏ | 239/383 [11:03:49<6:22:21, 159.32s/it]" + " 15%|█▍ | 234/1563 [20:08<1:50:51, 5.00s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([46439.])\n", - "{'redshifts/mse': 0.2827703654766083}\n" + "total num of pts: tensor([15323.])\n", + "total num of pts: tensor([5535., 3741., 1591., 848., 523., 3085.])\n", + "{'redshifts/bias_abs': 0.07438219338655472, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.08917947858572006, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.0037216036580502987, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.0017093498026952147, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.005143028683960438, 'redshifts/bias_bin_5': -0.0013025092193856835, 'redshifts/mse': 0.30756229162216187, 'redshifts/mse_bin_0': 0.43609103560447693, 'redshifts/mse_bin_1': 0.3550506830215454, 'redshifts/mse_bin_2': 0.26068609952926636, 'redshifts/mse_bin_3': 0.2266695201396942, 'redshifts/mse_bin_4': 0.2551301419734955, 'redshifts/mse_bin_5': 0.07467430084943771, 'redshifts/nmad': 0.11039641499519348, 'redshifts/nmad_bin_0': 0.2140330970287323, 'redshifts/nmad_bin_1': 0.1334836632013321, 'redshifts/nmad_bin_2': 0.08346571773290634, 'redshifts/nmad_bin_3': 0.06995633244514465, 'redshifts/nmad_bin_4': 0.060133520513772964, 'redshifts/nmad_bin_5': 0.03458501771092415, 'redshifts/outlier_fraction': 0.3245447874069214, 'redshifts/outlier_fraction_bin_0': 0.4905149042606354, 'redshifts/outlier_fraction_bin_1': 0.35070836544036865, 'redshifts/outlier_fraction_bin_2': 0.24952860176563263, 'redshifts/outlier_fraction_bin_3': 0.1945754736661911, 'redshifts/outlier_fraction_bin_4': 0.17208412289619446, 'redshifts/outlier_fraction_bin_5': 0.09529983997344971, 'redshifts/outlier_fraction_cata': 0.08790706843137741, 'redshifts/outlier_fraction_cata_bin_0': 0.12935863435268402, 'redshifts/outlier_fraction_cata_bin_1': 0.09863673150539398, 'redshifts/outlier_fraction_cata_bin_2': 0.07542426139116287, 'redshifts/outlier_fraction_cata_bin_3': 0.060141511261463165, 'redshifts/outlier_fraction_cata_bin_4': 0.06500955671072006, 'redshifts/outlier_fraction_cata_bin_5': 0.018476499244570732}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 63%|██████▎ | 240/383 [11:06:27<6:18:25, 158.78s/it]" + " 15%|█▌ | 235/1563 [20:19<2:34:11, 6.97s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([46641.])\n", - "{'redshifts/mse': 0.28265973925590515}\n" + "total num of pts: tensor([15380.])\n", + "total num of pts: tensor([5560., 3753., 1598., 850., 525., 3094.])\n", + "{'redshifts/bias_abs': 0.07439469546079636, 'redshifts/bias_abs_bin_0': 0.14588676393032074, 'redshifts/bias_abs_bin_1': 0.08912499994039536, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.0036795013584196568, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.0017093498026952147, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.001303885830566287, 'redshifts/mse': 0.30820176005363464, 'redshifts/mse_bin_0': 0.4378943145275116, 'redshifts/mse_bin_1': 0.3554200828075409, 'redshifts/mse_bin_2': 0.25972458720207214, 'redshifts/mse_bin_3': 0.226541206240654, 'redshifts/mse_bin_4': 0.25416243076324463, 'redshifts/mse_bin_5': 0.07450732588768005, 'redshifts/nmad': 0.11046721786260605, 'redshifts/nmad_bin_0': 0.214617520570755, 'redshifts/nmad_bin_1': 0.1331895887851715, 'redshifts/nmad_bin_2': 0.0832526907324791, 'redshifts/nmad_bin_3': 0.07058496028184891, 'redshifts/nmad_bin_4': 0.059675417840480804, 'redshifts/nmad_bin_5': 0.03461147099733353, 'redshifts/outlier_fraction': 0.32483744621276855, 'redshifts/outlier_fraction_bin_0': 0.4913668930530548, 'redshifts/outlier_fraction_bin_1': 0.3501199185848236, 'redshifts/outlier_fraction_bin_2': 0.2496871054172516, 'redshifts/outlier_fraction_bin_3': 0.1952941119670868, 'redshifts/outlier_fraction_bin_4': 0.17142857611179352, 'redshifts/outlier_fraction_bin_5': 0.09534583240747452, 'redshifts/outlier_fraction_cata': 0.08803641051054001, 'redshifts/outlier_fraction_cata_bin_0': 0.12985610961914062, 'redshifts/outlier_fraction_cata_bin_1': 0.09858779609203339, 'redshifts/outlier_fraction_cata_bin_2': 0.07509386539459229, 'redshifts/outlier_fraction_cata_bin_3': 0.05999999865889549, 'redshifts/outlier_fraction_cata_bin_4': 0.06476190686225891, 'redshifts/outlier_fraction_cata_bin_5': 0.018422754481434822}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 63%|██████▎ | 241/383 [11:09:04<6:14:32, 158.26s/it]" + " 15%|█▌ | 236/1563 [20:25<2:29:22, 6.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([46834.])\n", - "{'redshifts/mse': 0.2826167345046997}\n" + "total num of pts: tensor([15421.])\n", + "total num of pts: tensor([5581., 3761., 1603., 853., 526., 3097.])\n", + "{'redshifts/bias_abs': 0.07440915703773499, 'redshifts/bias_abs_bin_0': 0.1457652896642685, 'redshifts/bias_abs_bin_1': 0.0888902023434639, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.003702050307765603, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.009474060498178005, 'redshifts/bias_bin_2': -0.0017093498026952147, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013025092193856835, 'redshifts/mse': 0.30805903673171997, 'redshifts/mse_bin_0': 0.43753406405448914, 'redshifts/mse_bin_1': 0.35475954413414, 'redshifts/mse_bin_2': 0.2589542865753174, 'redshifts/mse_bin_3': 0.22797709703445435, 'redshifts/mse_bin_4': 0.25517186522483826, 'redshifts/mse_bin_5': 0.07447943091392517, 'redshifts/nmad': 0.11060447245836258, 'redshifts/nmad_bin_0': 0.21440479159355164, 'redshifts/nmad_bin_1': 0.13325367867946625, 'redshifts/nmad_bin_2': 0.0832526907324791, 'redshifts/nmad_bin_3': 0.07058882713317871, 'redshifts/nmad_bin_4': 0.059675417840480804, 'redshifts/nmad_bin_5': 0.03460942953824997, 'redshifts/outlier_fraction': 0.32494649291038513, 'redshifts/outlier_fraction_bin_0': 0.49113062024116516, 'redshifts/outlier_fraction_bin_1': 0.35017281770706177, 'redshifts/outlier_fraction_bin_2': 0.24953213334083557, 'redshifts/outlier_fraction_bin_3': 0.19577960669994354, 'redshifts/outlier_fraction_bin_4': 0.17300380766391754, 'redshifts/outlier_fraction_bin_5': 0.09525346755981445, 'redshifts/outlier_fraction_cata': 0.08806173503398895, 'redshifts/outlier_fraction_cata_bin_0': 0.12990503013134003, 'redshifts/outlier_fraction_cata_bin_1': 0.09837809205055237, 'redshifts/outlier_fraction_cata_bin_2': 0.07485964149236679, 'redshifts/outlier_fraction_cata_bin_3': 0.06096131354570389, 'redshifts/outlier_fraction_cata_bin_4': 0.06463878601789474, 'redshifts/outlier_fraction_cata_bin_5': 0.01840490847826004}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 63%|██████▎ | 242/383 [11:11:40<6:10:26, 157.63s/it]" + " 15%|█▌ | 237/1563 [20:31<2:19:06, 6.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([47016.])\n", - "{'redshifts/mse': 0.2824993133544922}\n" + "total num of pts: tensor([15489.])\n", + "total num of pts: tensor([5602., 3777., 1607., 860., 527., 3116.])\n", + "{'redshifts/bias_abs': 0.07440409064292908, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.08912499994039536, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.0036795013584196568, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.005145504605025053, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.30791449546813965, 'redshifts/mse_bin_0': 0.4370066523551941, 'redshifts/mse_bin_1': 0.3551492989063263, 'redshifts/mse_bin_2': 0.2583279311656952, 'redshifts/mse_bin_3': 0.22665534913539886, 'redshifts/mse_bin_4': 0.2548324167728424, 'redshifts/mse_bin_5': 0.07555373013019562, 'redshifts/nmad': 0.11056672781705856, 'redshifts/nmad_bin_0': 0.21371719241142273, 'redshifts/nmad_bin_1': 0.13313180208206177, 'redshifts/nmad_bin_2': 0.08319970965385437, 'redshifts/nmad_bin_3': 0.07039014995098114, 'redshifts/nmad_bin_4': 0.06013719365000725, 'redshifts/nmad_bin_5': 0.034728262573480606, 'redshifts/outlier_fraction': 0.32487571239471436, 'redshifts/outlier_fraction_bin_0': 0.4907175898551941, 'redshifts/outlier_fraction_bin_1': 0.3508075177669525, 'redshifts/outlier_fraction_bin_2': 0.24891100823879242, 'redshifts/outlier_fraction_bin_3': 0.1953488439321518, 'redshifts/outlier_fraction_bin_4': 0.17457304894924164, 'redshifts/outlier_fraction_bin_5': 0.09563542902469635, 'redshifts/outlier_fraction_cata': 0.08819162100553513, 'redshifts/outlier_fraction_cata_bin_0': 0.12995359301567078, 'redshifts/outlier_fraction_cata_bin_1': 0.09902038425207138, 'redshifts/outlier_fraction_cata_bin_2': 0.07467330247163773, 'redshifts/outlier_fraction_cata_bin_3': 0.060465116053819656, 'redshifts/outlier_fraction_cata_bin_4': 0.06451612710952759, 'redshifts/outlier_fraction_cata_bin_5': 0.018613606691360474}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 63%|██████▎ | 243/383 [11:14:15<6:05:54, 156.82s/it]" + " 15%|█▌ | 238/1563 [20:38<2:28:09, 6.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([47226.])\n", - "{'redshifts/mse': 0.2824075520038605}\n" + "total num of pts: tensor([15542.])\n", + "total num of pts: tensor([5620., 3791., 1609., 862., 529., 3131.])\n", + "{'redshifts/bias_abs': 0.07440260797739029, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.08917947858572006, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.0036720482166856527, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.008823276497423649, 'redshifts/bias_bin_4': -0.0051706586964428425, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30764082074165344, 'redshifts/mse_bin_0': 0.4367445111274719, 'redshifts/mse_bin_1': 0.3545575439929962, 'redshifts/mse_bin_2': 0.25832095742225647, 'redshifts/mse_bin_3': 0.22815074026584625, 'redshifts/mse_bin_4': 0.253899484872818, 'redshifts/mse_bin_5': 0.07540937513113022, 'redshifts/nmad': 0.11059099435806274, 'redshifts/nmad_bin_0': 0.21370674669742584, 'redshifts/nmad_bin_1': 0.133353129029274, 'redshifts/nmad_bin_2': 0.08348427712917328, 'redshifts/nmad_bin_3': 0.07087869942188263, 'redshifts/nmad_bin_4': 0.06017448380589485, 'redshifts/nmad_bin_5': 0.03478690981864929, 'redshifts/outlier_fraction': 0.3249260187149048, 'redshifts/outlier_fraction_bin_0': 0.49039146304130554, 'redshifts/outlier_fraction_bin_1': 0.35109469294548035, 'redshifts/outlier_fraction_bin_2': 0.24984462559223175, 'redshifts/outlier_fraction_bin_3': 0.19605568051338196, 'redshifts/outlier_fraction_bin_4': 0.17391304671764374, 'redshifts/outlier_fraction_bin_5': 0.09581603109836578, 'redshifts/outlier_fraction_cata': 0.0880839005112648, 'redshifts/outlier_fraction_cata_bin_0': 0.1298932433128357, 'redshifts/outlier_fraction_cata_bin_1': 0.09865470975637436, 'redshifts/outlier_fraction_cata_bin_2': 0.07458048313856125, 'redshifts/outlier_fraction_cata_bin_3': 0.061484917998313904, 'redshifts/outlier_fraction_cata_bin_4': 0.0642722100019455, 'redshifts/outlier_fraction_cata_bin_5': 0.01852443255484104}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 64%|██████▎ | 244/383 [11:16:51<6:03:00, 156.70s/it]" + " 15%|█▌ | 239/1563 [20:45<2:26:16, 6.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([47430.])\n", - "{'redshifts/mse': 0.28209277987480164}\n" + "total num of pts: tensor([15586.])\n", + "total num of pts: tensor([5644., 3799., 1609., 862., 531., 3141.])\n", + "{'redshifts/bias_abs': 0.0744270533323288, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.08917947858572006, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.003684191033244133, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.008823276497423649, 'redshifts/bias_bin_4': -0.005414244718849659, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.3083864748477936, 'redshifts/mse_bin_0': 0.437653511762619, 'redshifts/mse_bin_1': 0.3548316955566406, 'redshifts/mse_bin_2': 0.25832095742225647, 'redshifts/mse_bin_3': 0.22815074026584625, 'redshifts/mse_bin_4': 0.25405898690223694, 'redshifts/mse_bin_5': 0.07678557187318802, 'redshifts/nmad': 0.11065998673439026, 'redshifts/nmad_bin_0': 0.2140330970287323, 'redshifts/nmad_bin_1': 0.13356874883174896, 'redshifts/nmad_bin_2': 0.08348427712917328, 'redshifts/nmad_bin_3': 0.07087869942188263, 'redshifts/nmad_bin_4': 0.06015807390213013, 'redshifts/nmad_bin_5': 0.03477510064840317, 'redshifts/outlier_fraction': 0.3251636028289795, 'redshifts/outlier_fraction_bin_0': 0.4906094968318939, 'redshifts/outlier_fraction_bin_1': 0.35114502906799316, 'redshifts/outlier_fraction_bin_2': 0.24984462559223175, 'redshifts/outlier_fraction_bin_3': 0.19605568051338196, 'redshifts/outlier_fraction_bin_4': 0.17514124512672424, 'redshifts/outlier_fraction_bin_5': 0.09582935273647308, 'redshifts/outlier_fraction_cata': 0.08828435838222504, 'redshifts/outlier_fraction_cata_bin_0': 0.13004961609840393, 'redshifts/outlier_fraction_cata_bin_1': 0.09897341579198837, 'redshifts/outlier_fraction_cata_bin_2': 0.07458048313856125, 'redshifts/outlier_fraction_cata_bin_3': 0.061484917998313904, 'redshifts/outlier_fraction_cata_bin_4': 0.06403013318777084, 'redshifts/outlier_fraction_cata_bin_5': 0.018783826380968094}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 64%|██████▍ | 245/383 [11:19:29<6:01:18, 157.09s/it]" + " 15%|█▌ | 240/1563 [20:54<2:43:26, 7.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([47621.])\n", - "{'redshifts/mse': 0.2817919850349426}\n" + "total num of pts: tensor([15636.])\n", + "total num of pts: tensor([5661., 3812., 1615., 865., 532., 3151.])\n", + "{'redshifts/bias_abs': 0.0744270533323288, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.0888902023434639, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.0036795013584196568, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.008894039317965508, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.3083360195159912, 'redshifts/mse_bin_0': 0.4374964237213135, 'redshifts/mse_bin_1': 0.35559800267219543, 'redshifts/mse_bin_2': 0.25757327675819397, 'redshifts/mse_bin_3': 0.22743533551692963, 'redshifts/mse_bin_4': 0.25358203053474426, 'redshifts/mse_bin_5': 0.07658593356609344, 'redshifts/nmad': 0.11065302789211273, 'redshifts/nmad_bin_0': 0.21361304819583893, 'redshifts/nmad_bin_1': 0.13341426849365234, 'redshifts/nmad_bin_2': 0.08357712626457214, 'redshifts/nmad_bin_3': 0.07098832726478577, 'redshifts/nmad_bin_4': 0.06032046675682068, 'redshifts/nmad_bin_5': 0.034775007516145706, 'redshifts/outlier_fraction': 0.3250191807746887, 'redshifts/outlier_fraction_bin_0': 0.49001944065093994, 'redshifts/outlier_fraction_bin_1': 0.35125917196273804, 'redshifts/outlier_fraction_bin_2': 0.25077399611473083, 'redshifts/outlier_fraction_bin_3': 0.1953757256269455, 'redshifts/outlier_fraction_bin_4': 0.17481203377246857, 'redshifts/outlier_fraction_bin_5': 0.09584259241819382, 'redshifts/outlier_fraction_cata': 0.08825786411762238, 'redshifts/outlier_fraction_cata_bin_0': 0.1300123631954193, 'redshifts/outlier_fraction_cata_bin_1': 0.09916054457426071, 'redshifts/outlier_fraction_cata_bin_2': 0.07430340349674225, 'redshifts/outlier_fraction_cata_bin_3': 0.06127167493104935, 'redshifts/outlier_fraction_cata_bin_4': 0.06390977650880814, 'redshifts/outlier_fraction_cata_bin_5': 0.018724214285612106}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 64%|██████▍ | 246/383 [11:22:01<5:54:45, 155.37s/it]" + " 15%|█▌ | 241/1563 [21:05<3:04:37, 8.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([47800.])\n", - "{'redshifts/mse': 0.28198447823524475}\n" + "total num of pts: tensor([15690.])\n", + "total num of pts: tensor([5681., 3823., 1620., 869., 533., 3164.])\n", + "{'redshifts/bias_abs': 0.07440409064292908, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.08849310129880905, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.003684191033244133, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.008894039317965508, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.30834776163101196, 'redshifts/mse_bin_0': 0.4386734366416931, 'redshifts/mse_bin_1': 0.3547172546386719, 'redshifts/mse_bin_2': 0.2571462094783783, 'redshifts/mse_bin_3': 0.22641786932945251, 'redshifts/mse_bin_4': 0.25313979387283325, 'redshifts/mse_bin_5': 0.07633938640356064, 'redshifts/nmad': 0.11060900241136551, 'redshifts/nmad_bin_0': 0.2136489897966385, 'redshifts/nmad_bin_1': 0.13303150236606598, 'redshifts/nmad_bin_2': 0.08357712626457214, 'redshifts/nmad_bin_3': 0.07077378779649734, 'redshifts/nmad_bin_4': 0.060575347393751144, 'redshifts/nmad_bin_5': 0.03480365872383118, 'redshifts/outlier_fraction': 0.32485660910606384, 'redshifts/outlier_fraction_bin_0': 0.49005457758903503, 'redshifts/outlier_fraction_bin_1': 0.35077163577079773, 'redshifts/outlier_fraction_bin_2': 0.25061729550361633, 'redshifts/outlier_fraction_bin_3': 0.1944764107465744, 'redshifts/outlier_fraction_bin_4': 0.17448405921459198, 'redshifts/outlier_fraction_bin_5': 0.09608090668916702, 'redshifts/outlier_fraction_cata': 0.0883365198969841, 'redshifts/outlier_fraction_cata_bin_0': 0.13061080873012543, 'redshifts/outlier_fraction_cata_bin_1': 0.09887523204088211, 'redshifts/outlier_fraction_cata_bin_2': 0.07407407462596893, 'redshifts/outlier_fraction_cata_bin_3': 0.06098964437842369, 'redshifts/outlier_fraction_cata_bin_4': 0.06378986686468124, 'redshifts/outlier_fraction_cata_bin_5': 0.01864728145301342}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 64%|██████▍ | 247/383 [11:24:37<5:52:58, 155.72s/it]" + " 15%|█▌ | 242/1563 [21:10<2:45:29, 7.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([48003.])\n", - "{'redshifts/mse': 0.28202635049819946}\n" + "total num of pts: tensor([15745.])\n", + "total num of pts: tensor([5706., 3835., 1625., 870., 536., 3173.])\n", + "{'redshifts/bias_abs': 0.07439469546079636, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.0883055180311203, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.0037094056606292725, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.008894039317965508, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.3082318603992462, 'redshifts/mse_bin_0': 0.4385720491409302, 'redshifts/mse_bin_1': 0.35468393564224243, 'redshifts/mse_bin_2': 0.2566680312156677, 'redshifts/mse_bin_3': 0.22616000473499298, 'redshifts/mse_bin_4': 0.2517416477203369, 'redshifts/mse_bin_5': 0.07615344226360321, 'redshifts/nmad': 0.1104516014456749, 'redshifts/nmad_bin_0': 0.21327832341194153, 'redshifts/nmad_bin_1': 0.1329878568649292, 'redshifts/nmad_bin_2': 0.08348427712917328, 'redshifts/nmad_bin_3': 0.07072342187166214, 'redshifts/nmad_bin_4': 0.06037063151597977, 'redshifts/nmad_bin_5': 0.03479894995689392, 'redshifts/outlier_fraction': 0.32467448711395264, 'redshifts/outlier_fraction_bin_0': 0.489835262298584, 'redshifts/outlier_fraction_bin_1': 0.3504563271999359, 'redshifts/outlier_fraction_bin_2': 0.25046154856681824, 'redshifts/outlier_fraction_bin_3': 0.1942528784275055, 'redshifts/outlier_fraction_bin_4': 0.1735074669122696, 'redshifts/outlier_fraction_bin_5': 0.09580838680267334, 'redshifts/outlier_fraction_cata': 0.08828199654817581, 'redshifts/outlier_fraction_cata_bin_0': 0.13056431710720062, 'redshifts/outlier_fraction_cata_bin_1': 0.09882659465074539, 'redshifts/outlier_fraction_cata_bin_2': 0.07384615391492844, 'redshifts/outlier_fraction_cata_bin_3': 0.060919541865587234, 'redshifts/outlier_fraction_cata_bin_4': 0.06343283504247665, 'redshifts/outlier_fraction_cata_bin_5': 0.018594389781355858}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 65%|██████▍ | 248/383 [11:27:18<5:53:54, 157.29s/it]" + " 16%|█▌ | 243/1563 [21:18<2:47:41, 7.62s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([48200.])\n", - "{'redshifts/mse': 0.28187480568885803}\n" + "total num of pts: tensor([15801.])\n", + "total num of pts: tensor([5734., 3846., 1632., 871., 536., 3182.])\n", + "{'redshifts/bias_abs': 0.0743960365653038, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.08826303482055664, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.0037216036580502987, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.008894039317965508, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30882498621940613, 'redshifts/mse_bin_0': 0.4388478398323059, 'redshifts/mse_bin_1': 0.3568699061870575, 'redshifts/mse_bin_2': 0.25579509139060974, 'redshifts/mse_bin_3': 0.2259359508752823, 'redshifts/mse_bin_4': 0.2517416477203369, 'redshifts/mse_bin_5': 0.07595659792423248, 'redshifts/nmad': 0.11059753596782684, 'redshifts/nmad_bin_0': 0.21371719241142273, 'redshifts/nmad_bin_1': 0.13275039196014404, 'redshifts/nmad_bin_2': 0.08289936184883118, 'redshifts/nmad_bin_3': 0.07077378779649734, 'redshifts/nmad_bin_4': 0.06037063151597977, 'redshifts/nmad_bin_5': 0.03478690981864929, 'redshifts/outlier_fraction': 0.324852854013443, 'redshifts/outlier_fraction_bin_0': 0.4902336895465851, 'redshifts/outlier_fraction_bin_1': 0.3502340018749237, 'redshifts/outlier_fraction_bin_2': 0.25, 'redshifts/outlier_fraction_bin_3': 0.19402985274791718, 'redshifts/outlier_fraction_bin_4': 0.1735074669122696, 'redshifts/outlier_fraction_bin_5': 0.09585166722536087, 'redshifts/outlier_fraction_cata': 0.08841212838888168, 'redshifts/outlier_fraction_cata_bin_0': 0.13079874217510223, 'redshifts/outlier_fraction_cata_bin_1': 0.09906396269798279, 'redshifts/outlier_fraction_cata_bin_2': 0.07352941483259201, 'redshifts/outlier_fraction_cata_bin_3': 0.06084959954023361, 'redshifts/outlier_fraction_cata_bin_4': 0.06343283504247665, 'redshifts/outlier_fraction_cata_bin_5': 0.018541797995567322}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 65%|██████▌ | 249/383 [11:29:56<5:51:39, 157.46s/it]" + " 16%|█▌ | 244/1563 [21:25<2:43:40, 7.45s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([48380.])\n", - "{'redshifts/mse': 0.281570166349411}\n" + "total num of pts: tensor([15885.])\n", + "total num of pts: tensor([5766., 3869., 1640., 876., 539., 3195.])\n", + "{'redshifts/bias_abs': 0.07440409064292908, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.08814864605665207, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.003794772317633033, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.008823276497423649, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.30816495418548584, 'redshifts/mse_bin_0': 0.4384108781814575, 'redshifts/mse_bin_1': 0.3555188477039337, 'redshifts/mse_bin_2': 0.254937082529068, 'redshifts/mse_bin_3': 0.22482310235500336, 'redshifts/mse_bin_4': 0.2504177391529083, 'redshifts/mse_bin_5': 0.0756838247179985, 'redshifts/nmad': 0.11070601642131805, 'redshifts/nmad_bin_0': 0.21485202014446259, 'redshifts/nmad_bin_1': 0.13259778916835785, 'redshifts/nmad_bin_2': 0.0834219679236412, 'redshifts/nmad_bin_3': 0.07088341563940048, 'redshifts/nmad_bin_4': 0.060128528624773026, 'redshifts/nmad_bin_5': 0.03484603762626648, 'redshifts/outlier_fraction': 0.3248977065086365, 'redshifts/outlier_fraction_bin_0': 0.4908081889152527, 'redshifts/outlier_fraction_bin_1': 0.34944429993629456, 'redshifts/outlier_fraction_bin_2': 0.25060975551605225, 'redshifts/outlier_fraction_bin_3': 0.1940639317035675, 'redshifts/outlier_fraction_bin_4': 0.17254173755645752, 'redshifts/outlier_fraction_bin_5': 0.0954616591334343, 'redshifts/outlier_fraction_cata': 0.08807050436735153, 'redshifts/outlier_fraction_cata_bin_0': 0.13024626672267914, 'redshifts/outlier_fraction_cata_bin_1': 0.09873352199792862, 'redshifts/outlier_fraction_cata_bin_2': 0.0731707289814949, 'redshifts/outlier_fraction_cata_bin_3': 0.06050228327512741, 'redshifts/outlier_fraction_cata_bin_4': 0.06307977437973022, 'redshifts/outlier_fraction_cata_bin_5': 0.01846635341644287}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 65%|██████▌ | 250/383 [11:32:34<5:49:26, 157.64s/it]" + " 16%|█▌ | 245/1563 [21:29<2:23:16, 6.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([48580.])\n", - "{'redshifts/mse': 0.2816677391529083}\n" + "total num of pts: tensor([15928.])\n", + "total num of pts: tensor([5787., 3880., 1642., 880., 539., 3200.])\n", + "{'redshifts/bias_abs': 0.07442748546600342, 'redshifts/bias_abs_bin_0': 0.1457652896642685, 'redshifts/bias_abs_bin_1': 0.08813736587762833, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.003794772317633033, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.3081432580947876, 'redshifts/mse_bin_0': 0.43848446011543274, 'redshifts/mse_bin_1': 0.35475844144821167, 'redshifts/mse_bin_2': 0.25464197993278503, 'redshifts/mse_bin_3': 0.2238766998052597, 'redshifts/mse_bin_4': 0.2504177391529083, 'redshifts/mse_bin_5': 0.07625960558652878, 'redshifts/nmad': 0.11077294498682022, 'redshifts/nmad_bin_0': 0.21482501924037933, 'redshifts/nmad_bin_1': 0.1324998140335083, 'redshifts/nmad_bin_2': 0.08340448141098022, 'redshifts/nmad_bin_3': 0.07039893418550491, 'redshifts/nmad_bin_4': 0.060128528624773026, 'redshifts/nmad_bin_5': 0.03480365872383118, 'redshifts/outlier_fraction': 0.32508790493011475, 'redshifts/outlier_fraction_bin_0': 0.49127355217933655, 'redshifts/outlier_fraction_bin_1': 0.34922680258750916, 'redshifts/outlier_fraction_bin_2': 0.25030452013015747, 'redshifts/outlier_fraction_bin_3': 0.1931818127632141, 'redshifts/outlier_fraction_bin_4': 0.17254173755645752, 'redshifts/outlier_fraction_bin_5': 0.09562499821186066, 'redshifts/outlier_fraction_cata': 0.08795831352472305, 'redshifts/outlier_fraction_cata_bin_0': 0.12994642555713654, 'redshifts/outlier_fraction_cata_bin_1': 0.09845361113548279, 'redshifts/outlier_fraction_cata_bin_2': 0.0730816051363945, 'redshifts/outlier_fraction_cata_bin_3': 0.06022727116942406, 'redshifts/outlier_fraction_cata_bin_4': 0.06307977437973022, 'redshifts/outlier_fraction_cata_bin_5': 0.01875000074505806}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 66%|██████▌ | 251/383 [11:35:13<5:47:56, 158.15s/it]" + " 16%|█▌ | 246/1563 [21:34<2:13:04, 6.06s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([48776.])\n", - "{'redshifts/mse': 0.28130286931991577}\n" + "total num of pts: tensor([15977.])\n", + "total num of pts: tensor([5810., 3892., 1645., 883., 542., 3205.])\n", + "{'redshifts/bias_abs': 0.074480339884758, 'redshifts/bias_abs_bin_0': 0.1457652896642685, 'redshifts/bias_abs_bin_1': 0.08813736587762833, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.003802020801231265, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.30809298157691956, 'redshifts/mse_bin_0': 0.43827083706855774, 'redshifts/mse_bin_1': 0.3544597923755646, 'redshifts/mse_bin_2': 0.25430962443351746, 'redshifts/mse_bin_3': 0.2255226969718933, 'redshifts/mse_bin_4': 0.24904784560203552, 'redshifts/mse_bin_5': 0.07614222168922424, 'redshifts/nmad': 0.11084526777267456, 'redshifts/nmad_bin_0': 0.21505039930343628, 'redshifts/nmad_bin_1': 0.13247941434383392, 'redshifts/nmad_bin_2': 0.08340448141098022, 'redshifts/nmad_bin_3': 0.07069020718336105, 'redshifts/nmad_bin_4': 0.059308215975761414, 'redshifts/nmad_bin_5': 0.03477510064840317, 'redshifts/outlier_fraction': 0.32534268498420715, 'redshifts/outlier_fraction_bin_0': 0.49139416217803955, 'redshifts/outlier_fraction_bin_1': 0.3494347333908081, 'redshifts/outlier_fraction_bin_2': 0.25045591592788696, 'redshifts/outlier_fraction_bin_3': 0.19479048252105713, 'redshifts/outlier_fraction_bin_4': 0.17158672213554382, 'redshifts/outlier_fraction_bin_5': 0.09547582268714905, 'redshifts/outlier_fraction_cata': 0.0878763198852539, 'redshifts/outlier_fraction_cata_bin_0': 0.1297762542963028, 'redshifts/outlier_fraction_cata_bin_1': 0.09815005213022232, 'redshifts/outlier_fraction_cata_bin_2': 0.07294832915067673, 'redshifts/outlier_fraction_cata_bin_3': 0.06115515157580376, 'redshifts/outlier_fraction_cata_bin_4': 0.06273062527179718, 'redshifts/outlier_fraction_cata_bin_5': 0.018720747902989388}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 66%|██████▌ | 252/383 [11:37:51<5:44:58, 158.01s/it]" + " 16%|█▌ | 247/1563 [21:40<2:09:24, 5.90s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([48962.])\n", - "{'redshifts/mse': 0.28156667947769165}\n" + "total num of pts: tensor([16040.])\n", + "total num of pts: tensor([5834., 3908., 1655., 887., 544., 3212.])\n", + "{'redshifts/bias_abs': 0.07453634589910507, 'redshifts/bias_abs_bin_0': 0.1455247700214386, 'redshifts/bias_abs_bin_1': 0.08813736587762833, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.003893163986504078, 'redshifts/bias_bin_0': 0.029589658603072166, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.30777353048324585, 'redshifts/mse_bin_0': 0.4381699860095978, 'redshifts/mse_bin_1': 0.35337674617767334, 'redshifts/mse_bin_2': 0.2541699707508087, 'redshifts/mse_bin_3': 0.22460491955280304, 'redshifts/mse_bin_4': 0.24814844131469727, 'redshifts/mse_bin_5': 0.07613446563482285, 'redshifts/nmad': 0.11089243739843369, 'redshifts/nmad_bin_0': 0.21456262469291687, 'redshifts/nmad_bin_1': 0.1324998140335083, 'redshifts/nmad_bin_2': 0.0834219679236412, 'redshifts/nmad_bin_3': 0.07047039270401001, 'redshifts/nmad_bin_4': 0.059308215975761414, 'redshifts/nmad_bin_5': 0.03482689708471298, 'redshifts/outlier_fraction': 0.3250623345375061, 'redshifts/outlier_fraction_bin_0': 0.4910867214202881, 'redshifts/outlier_fraction_bin_1': 0.34877175092697144, 'redshifts/outlier_fraction_bin_2': 0.2501510679721832, 'redshifts/outlier_fraction_bin_3': 0.1939120590686798, 'redshifts/outlier_fraction_bin_4': 0.17095588147640228, 'redshifts/outlier_fraction_bin_5': 0.09557908028364182, 'redshifts/outlier_fraction_cata': 0.08784288913011551, 'redshifts/outlier_fraction_cata_bin_0': 0.12992800772190094, 'redshifts/outlier_fraction_cata_bin_1': 0.09774821251630783, 'redshifts/outlier_fraction_cata_bin_2': 0.07311177998781204, 'redshifts/outlier_fraction_cata_bin_3': 0.06087936833500862, 'redshifts/outlier_fraction_cata_bin_4': 0.0625, 'redshifts/outlier_fraction_cata_bin_5': 0.018679950386285782}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 66%|██████▌ | 253/383 [11:40:25<5:39:42, 156.79s/it]" + " 16%|█▌ | 248/1563 [21:45<2:05:11, 5.71s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([49149.])\n", - "{'redshifts/mse': 0.28192710876464844}\n" + "total num of pts: tensor([16089.])\n", + "total num of pts: tensor([5856., 3922., 1655., 889., 545., 3222.])\n", + "{'redshifts/bias_abs': 0.0745978131890297, 'redshifts/bias_abs_bin_0': 0.1457652896642685, 'redshifts/bias_abs_bin_1': 0.08813736587762833, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.003888458013534546, 'redshifts/bias_bin_0': 0.0296764113008976, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30805832147598267, 'redshifts/mse_bin_0': 0.4384516775608063, 'redshifts/mse_bin_1': 0.3542214035987854, 'redshifts/mse_bin_2': 0.2541699707508087, 'redshifts/mse_bin_3': 0.22410506010055542, 'redshifts/mse_bin_4': 0.24769368767738342, 'redshifts/mse_bin_5': 0.0759316235780716, 'redshifts/nmad': 0.11094346642494202, 'redshifts/nmad_bin_0': 0.21502242982387543, 'redshifts/nmad_bin_1': 0.1324998140335083, 'redshifts/nmad_bin_2': 0.0834219679236412, 'redshifts/nmad_bin_3': 0.07034960389137268, 'redshifts/nmad_bin_4': 0.059308215975761414, 'redshifts/nmad_bin_5': 0.03479894995689392, 'redshifts/outlier_fraction': 0.3253154456615448, 'redshifts/outlier_fraction_bin_0': 0.49146175384521484, 'redshifts/outlier_fraction_bin_1': 0.349056601524353, 'redshifts/outlier_fraction_bin_2': 0.2501510679721832, 'redshifts/outlier_fraction_bin_3': 0.19347581267356873, 'redshifts/outlier_fraction_bin_4': 0.1706421971321106, 'redshifts/outlier_fraction_bin_5': 0.09559279680252075, 'redshifts/outlier_fraction_cata': 0.08801044523715973, 'redshifts/outlier_fraction_cata_bin_0': 0.13012294471263885, 'redshifts/outlier_fraction_cata_bin_1': 0.09816420078277588, 'redshifts/outlier_fraction_cata_bin_2': 0.07311177998781204, 'redshifts/outlier_fraction_cata_bin_3': 0.06074240803718567, 'redshifts/outlier_fraction_cata_bin_4': 0.06238532066345215, 'redshifts/outlier_fraction_cata_bin_5': 0.01862197369337082}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 66%|██████▋ | 254/383 [11:43:05<5:39:04, 157.71s/it]" + " 16%|█▌ | 249/1563 [21:50<2:01:33, 5.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([49351.])\n", - "{'redshifts/mse': 0.2816864848136902}\n" + "total num of pts: tensor([16143.])\n", + "total num of pts: tensor([5878., 3935., 1661., 891., 547., 3231.])\n", + "{'redshifts/bias_abs': 0.07465658336877823, 'redshifts/bias_abs_bin_0': 0.14590410888195038, 'redshifts/bias_abs_bin_1': 0.0880778431892395, 'redshifts/bias_abs_bin_2': 0.05685897916555405, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.00391644099727273, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.30817800760269165, 'redshifts/mse_bin_0': 0.438824862241745, 'redshifts/mse_bin_1': 0.35348716378211975, 'redshifts/mse_bin_2': 0.2554526925086975, 'redshifts/mse_bin_3': 0.22361309826374054, 'redshifts/mse_bin_4': 0.2468341737985611, 'redshifts/mse_bin_5': 0.07612914592027664, 'redshifts/nmad': 0.11098839342594147, 'redshifts/nmad_bin_0': 0.214930921792984, 'redshifts/nmad_bin_1': 0.1324901133775711, 'redshifts/nmad_bin_2': 0.08323807269334793, 'redshifts/nmad_bin_3': 0.07050152868032455, 'redshifts/nmad_bin_4': 0.05955032259225845, 'redshifts/nmad_bin_5': 0.034849073737859726, 'redshifts/outlier_fraction': 0.3254661560058594, 'redshifts/outlier_fraction_bin_0': 0.49183395504951477, 'redshifts/outlier_fraction_bin_1': 0.34866583347320557, 'redshifts/outlier_fraction_bin_2': 0.25045153498649597, 'redshifts/outlier_fraction_bin_3': 0.19304153323173523, 'redshifts/outlier_fraction_bin_4': 0.1700182855129242, 'redshifts/outlier_fraction_bin_5': 0.09594552963972092, 'redshifts/outlier_fraction_cata': 0.08796382695436478, 'redshifts/outlier_fraction_cata_bin_0': 0.1301463097333908, 'redshifts/outlier_fraction_cata_bin_1': 0.09783989936113358, 'redshifts/outlier_fraction_cata_bin_2': 0.07344973087310791, 'redshifts/outlier_fraction_cata_bin_3': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_4': 0.062157221138477325, 'redshifts/outlier_fraction_cata_bin_5': 0.018570102751255035}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 67%|██████▋ | 255/383 [11:45:37<5:32:56, 156.07s/it]" + " 16%|█▌ | 250/1563 [21:57<2:06:48, 5.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([49535.])\n", - "{'redshifts/mse': 0.282036155462265}\n" + "total num of pts: tensor([16209.])\n", + "total num of pts: tensor([5898., 3953., 1668., 893., 549., 3248.])\n", + "{'redshifts/bias_abs': 0.07466590404510498, 'redshifts/bias_abs_bin_0': 0.1455247700214386, 'redshifts/bias_abs_bin_1': 0.08818467706441879, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.0038981123361736536, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30767011642456055, 'redshifts/mse_bin_0': 0.4378018379211426, 'redshifts/mse_bin_1': 0.35390058159828186, 'redshifts/mse_bin_2': 0.2549101412296295, 'redshifts/mse_bin_3': 0.22312133014202118, 'redshifts/mse_bin_4': 0.24609670042991638, 'redshifts/mse_bin_5': 0.07585000991821289, 'redshifts/nmad': 0.11095684766769409, 'redshifts/nmad_bin_0': 0.21474693715572357, 'redshifts/nmad_bin_1': 0.13272900879383087, 'redshifts/nmad_bin_2': 0.08321217447519302, 'redshifts/nmad_bin_3': 0.06979083269834518, 'redshifts/nmad_bin_4': 0.06024457886815071, 'redshifts/nmad_bin_5': 0.034900594502687454, 'redshifts/outlier_fraction': 0.32525140047073364, 'redshifts/outlier_fraction_bin_0': 0.49118345975875854, 'redshifts/outlier_fraction_bin_1': 0.34884896874427795, 'redshifts/outlier_fraction_bin_2': 0.25059953331947327, 'redshifts/outlier_fraction_bin_3': 0.19260917603969574, 'redshifts/outlier_fraction_bin_4': 0.17122040688991547, 'redshifts/outlier_fraction_bin_5': 0.09605911374092102, 'redshifts/outlier_fraction_cata': 0.08772903680801392, 'redshifts/outlier_fraction_cata_bin_0': 0.12970498204231262, 'redshifts/outlier_fraction_cata_bin_1': 0.09790033102035522, 'redshifts/outlier_fraction_cata_bin_2': 0.07314148545265198, 'redshifts/outlier_fraction_cata_bin_3': 0.060470324009656906, 'redshifts/outlier_fraction_cata_bin_4': 0.061930783092975616, 'redshifts/outlier_fraction_cata_bin_5': 0.018472906202077866}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 67%|██████▋ | 256/383 [11:48:08<5:27:08, 154.56s/it]" + " 16%|█▌ | 251/1563 [22:02<2:05:58, 5.76s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([49736.])\n", - "{'redshifts/mse': 0.2821928560733795}\n" + "total num of pts: tensor([16272.])\n", + "total num of pts: tensor([5923., 3968., 1670., 898., 552., 3261.])\n", + "{'redshifts/bias_abs': 0.0745978131890297, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.08813736587762833, 'redshifts/bias_abs_bin_2': 0.05685897916555405, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.003954622428864241, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.3072760999202728, 'redshifts/mse_bin_0': 0.4371791481971741, 'redshifts/mse_bin_1': 0.3530176281929016, 'redshifts/mse_bin_2': 0.255310982465744, 'redshifts/mse_bin_3': 0.22488078474998474, 'redshifts/mse_bin_4': 0.2447703778743744, 'redshifts/mse_bin_5': 0.07555630058050156, 'redshifts/nmad': 0.11093179136514664, 'redshifts/nmad_bin_0': 0.21411284804344177, 'redshifts/nmad_bin_1': 0.13250254094600677, 'redshifts/nmad_bin_2': 0.08323807269334793, 'redshifts/nmad_bin_3': 0.06979083269834518, 'redshifts/nmad_bin_4': 0.059308215975761414, 'redshifts/nmad_bin_5': 0.03490862250328064, 'redshifts/outlier_fraction': 0.3249754309654236, 'redshifts/outlier_fraction_bin_0': 0.49062976241111755, 'redshifts/outlier_fraction_bin_1': 0.3485383093357086, 'redshifts/outlier_fraction_bin_2': 0.2514970004558563, 'redshifts/outlier_fraction_bin_3': 0.19265033304691315, 'redshifts/outlier_fraction_bin_4': 0.17028985917568207, 'redshifts/outlier_fraction_bin_5': 0.09567617624998093, 'redshifts/outlier_fraction_cata': 0.08763520419597626, 'redshifts/outlier_fraction_cata_bin_0': 0.12949518859386444, 'redshifts/outlier_fraction_cata_bin_1': 0.09753023833036423, 'redshifts/outlier_fraction_cata_bin_2': 0.07365269213914871, 'redshifts/outlier_fraction_cata_bin_3': 0.061247214674949646, 'redshifts/outlier_fraction_cata_bin_4': 0.06159420311450958, 'redshifts/outlier_fraction_cata_bin_5': 0.01839926466345787}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 67%|██████▋ | 257/383 [11:50:45<5:25:47, 155.14s/it]" + " 16%|█▌ | 252/1563 [22:08<2:02:57, 5.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([49945.])\n", - "{'redshifts/mse': 0.2820329964160919}\n" + "total num of pts: tensor([16316.])\n", + "total num of pts: tensor([5941., 3979., 1675., 900., 552., 3269.])\n", + "{'redshifts/bias_abs': 0.0745978131890297, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.08818467706441879, 'redshifts/bias_abs_bin_2': 0.05685897916555405, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.003922145813703537, 'redshifts/bias_bin_0': 0.03015417791903019, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30736109614372253, 'redshifts/mse_bin_0': 0.4371497631072998, 'redshifts/mse_bin_1': 0.35356244444847107, 'redshifts/mse_bin_2': 0.2552317678928375, 'redshifts/mse_bin_3': 0.22438760101795197, 'redshifts/mse_bin_4': 0.2447703778743744, 'redshifts/mse_bin_5': 0.07537464797496796, 'redshifts/nmad': 0.11089485138654709, 'redshifts/nmad_bin_0': 0.21431408822536469, 'redshifts/nmad_bin_1': 0.1328340768814087, 'redshifts/nmad_bin_2': 0.08323807269334793, 'redshifts/nmad_bin_3': 0.0693947970867157, 'redshifts/nmad_bin_4': 0.059308215975761414, 'redshifts/nmad_bin_5': 0.034875255078077316, 'redshifts/outlier_fraction': 0.32483452558517456, 'redshifts/outlier_fraction_bin_0': 0.49032148718833923, 'redshifts/outlier_fraction_bin_1': 0.34832873940467834, 'redshifts/outlier_fraction_bin_2': 0.2519403100013733, 'redshifts/outlier_fraction_bin_3': 0.1922222226858139, 'redshifts/outlier_fraction_bin_4': 0.17028985917568207, 'redshifts/outlier_fraction_bin_5': 0.095442034304142, 'redshifts/outlier_fraction_cata': 0.08752144873142242, 'redshifts/outlier_fraction_cata_bin_0': 0.12927116453647614, 'redshifts/outlier_fraction_cata_bin_1': 0.09751193970441818, 'redshifts/outlier_fraction_cata_bin_2': 0.07343283295631409, 'redshifts/outlier_fraction_cata_bin_3': 0.06111111119389534, 'redshifts/outlier_fraction_cata_bin_4': 0.06159420311450958, 'redshifts/outlier_fraction_cata_bin_5': 0.01835423707962036}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 67%|██████▋ | 258/383 [11:53:22<5:24:34, 155.80s/it]" + " 16%|█▌ | 253/1563 [22:17<2:25:24, 6.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([50157.])\n", - "{'redshifts/mse': 0.2817539870738983}\n" + "total num of pts: tensor([16387.])\n", + "total num of pts: tensor([5969., 3998., 1680., 903., 553., 3284.])\n", + "{'redshifts/bias_abs': 0.07466922700405121, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.08826303482055664, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.003957957029342651, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30729225277900696, 'redshifts/mse_bin_0': 0.4360835552215576, 'redshifts/mse_bin_1': 0.35485589504241943, 'redshifts/mse_bin_2': 0.25531458854675293, 'redshifts/mse_bin_3': 0.22469240427017212, 'redshifts/mse_bin_4': 0.24432972073554993, 'redshifts/mse_bin_5': 0.07520204037427902, 'redshifts/nmad': 0.11097628623247147, 'redshifts/nmad_bin_0': 0.21375812590122223, 'redshifts/nmad_bin_1': 0.1328340768814087, 'redshifts/nmad_bin_2': 0.08325722813606262, 'redshifts/nmad_bin_3': 0.06963402032852173, 'redshifts/nmad_bin_4': 0.059308215975761414, 'redshifts/nmad_bin_5': 0.034875255078077316, 'redshifts/outlier_fraction': 0.3250137269496918, 'redshifts/outlier_fraction_bin_0': 0.4898642897605896, 'redshifts/outlier_fraction_bin_1': 0.3491745889186859, 'redshifts/outlier_fraction_bin_2': 0.2529761791229248, 'redshifts/outlier_fraction_bin_3': 0.19269102811813354, 'redshifts/outlier_fraction_bin_4': 0.16998191177845, 'redshifts/outlier_fraction_bin_5': 0.09531059861183167, 'redshifts/outlier_fraction_cata': 0.08744736760854721, 'redshifts/outlier_fraction_cata_bin_0': 0.12883229553699493, 'redshifts/outlier_fraction_cata_bin_1': 0.09804902225732803, 'redshifts/outlier_fraction_cata_bin_2': 0.07321428507566452, 'redshifts/outlier_fraction_cata_bin_3': 0.060908082872629166, 'redshifts/outlier_fraction_cata_bin_4': 0.06148282065987587, 'redshifts/outlier_fraction_cata_bin_5': 0.018270401284098625}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 68%|██████▊ | 259/383 [11:55:50<5:17:18, 153.53s/it]" + " 16%|█▋ | 254/1563 [22:23<2:19:46, 6.41s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([50344.])\n", - "{'redshifts/mse': 0.28167638182640076}\n" + "total num of pts: tensor([16456.])\n", + "total num of pts: tensor([5993., 4016., 1687., 907., 555., 3298.])\n", + "{'redshifts/bias_abs': 0.0745978131890297, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.08814864605665207, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.0039031223859637976, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.30701491236686707, 'redshifts/mse_bin_0': 0.43633055686950684, 'redshifts/mse_bin_1': 0.3541101813316345, 'redshifts/mse_bin_2': 0.25482890009880066, 'redshifts/mse_bin_3': 0.2239527702331543, 'redshifts/mse_bin_4': 0.24355292320251465, 'redshifts/mse_bin_5': 0.07489702850580215, 'redshifts/nmad': 0.11089498549699783, 'redshifts/nmad_bin_0': 0.21391746401786804, 'redshifts/nmad_bin_1': 0.13247941434383392, 'redshifts/nmad_bin_2': 0.0835370123386383, 'redshifts/nmad_bin_3': 0.07003005594015121, 'redshifts/nmad_bin_4': 0.05955032259225845, 'redshifts/nmad_bin_5': 0.03484194725751877, 'redshifts/outlier_fraction': 0.32498785853385925, 'redshifts/outlier_fraction_bin_0': 0.49007174372673035, 'redshifts/outlier_fraction_bin_1': 0.3493525981903076, 'redshifts/outlier_fraction_bin_2': 0.25251927971839905, 'redshifts/outlier_fraction_bin_3': 0.1929437667131424, 'redshifts/outlier_fraction_bin_4': 0.16936936974525452, 'redshifts/outlier_fraction_bin_5': 0.09490600228309631, 'redshifts/outlier_fraction_cata': 0.08738454431295395, 'redshifts/outlier_fraction_cata_bin_0': 0.12898381054401398, 'redshifts/outlier_fraction_cata_bin_1': 0.09785856306552887, 'redshifts/outlier_fraction_cata_bin_2': 0.07291049510240555, 'redshifts/outlier_fraction_cata_bin_3': 0.06063947081565857, 'redshifts/outlier_fraction_cata_bin_4': 0.061261262744665146, 'redshifts/outlier_fraction_cata_bin_5': 0.018192844465374947}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 68%|██████▊ | 260/383 [11:58:26<5:15:58, 154.14s/it]" + " 16%|█▋ | 255/1563 [22:28<2:13:59, 6.15s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([50505.])\n", - "{'redshifts/mse': 0.2815144658088684}\n" + "total num of pts: tensor([16524.])\n", + "total num of pts: tensor([6019., 4038., 1693., 908., 559., 3307.])\n", + "{'redshifts/bias_abs': 0.07471206039190292, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.08828442543745041, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.003922145813703537, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.3074949085712433, 'redshifts/mse_bin_0': 0.43649566173553467, 'redshifts/mse_bin_1': 0.35573822259902954, 'redshifts/mse_bin_2': 0.2549802362918854, 'redshifts/mse_bin_3': 0.22386117279529572, 'redshifts/mse_bin_4': 0.24188074469566345, 'redshifts/mse_bin_5': 0.07473547011613846, 'redshifts/nmad': 0.1110127866268158, 'redshifts/nmad_bin_0': 0.21378928422927856, 'redshifts/nmad_bin_1': 0.1327853947877884, 'redshifts/nmad_bin_2': 0.0834408700466156, 'redshifts/nmad_bin_3': 0.07013363391160965, 'redshifts/nmad_bin_4': 0.05869656056165695, 'redshifts/nmad_bin_5': 0.03484194725751877, 'redshifts/outlier_fraction': 0.32504236698150635, 'redshifts/outlier_fraction_bin_0': 0.4899485111236572, 'redshifts/outlier_fraction_bin_1': 0.34967806935310364, 'redshifts/outlier_fraction_bin_2': 0.2522149980068207, 'redshifts/outlier_fraction_bin_3': 0.1938326060771942, 'redshifts/outlier_fraction_bin_4': 0.1681574285030365, 'redshifts/outlier_fraction_bin_5': 0.09464772045612335, 'redshifts/outlier_fraction_cata': 0.08756959438323975, 'redshifts/outlier_fraction_cata_bin_0': 0.12909121811389923, 'redshifts/outlier_fraction_cata_bin_1': 0.0983159989118576, 'redshifts/outlier_fraction_cata_bin_2': 0.07324276119470596, 'redshifts/outlier_fraction_cata_bin_3': 0.06057268753647804, 'redshifts/outlier_fraction_cata_bin_4': 0.06082289665937424, 'redshifts/outlier_fraction_cata_bin_5': 0.01814333163201809}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 68%|██████▊ | 261/383 [12:01:03<5:15:35, 155.21s/it]" + " 16%|█▋ | 256/1563 [22:34<2:12:17, 6.07s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([50703.])\n", - "{'redshifts/mse': 0.28191089630126953}\n" + "total num of pts: tensor([16595.])\n", + "total num of pts: tensor([6048., 4056., 1697., 908., 562., 3324.])\n", + "{'redshifts/bias_abs': 0.07468488812446594, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.0883055180311203, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.0039655715227127075, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30790236592292786, 'redshifts/mse_bin_0': 0.43692153692245483, 'redshifts/mse_bin_1': 0.35738781094551086, 'redshifts/mse_bin_2': 0.25447362661361694, 'redshifts/mse_bin_3': 0.22386117279529572, 'redshifts/mse_bin_4': 0.24061551690101624, 'redshifts/mse_bin_5': 0.07438071072101593, 'redshifts/nmad': 0.11099085956811905, 'redshifts/nmad_bin_0': 0.21378928422927856, 'redshifts/nmad_bin_1': 0.13278205692768097, 'redshifts/nmad_bin_2': 0.0837031900882721, 'redshifts/nmad_bin_3': 0.07013363391160965, 'redshifts/nmad_bin_4': 0.0585612989962101, 'redshifts/nmad_bin_5': 0.034900594502687454, 'redshifts/outlier_fraction': 0.325097918510437, 'redshifts/outlier_fraction_bin_0': 0.48991402983665466, 'redshifts/outlier_fraction_bin_1': 0.3503451645374298, 'redshifts/outlier_fraction_bin_2': 0.25220978260040283, 'redshifts/outlier_fraction_bin_3': 0.1938326060771942, 'redshifts/outlier_fraction_bin_4': 0.16725978255271912, 'redshifts/outlier_fraction_bin_5': 0.09416365623474121, 'redshifts/outlier_fraction_cata': 0.0876770094037056, 'redshifts/outlier_fraction_cata_bin_0': 0.12913359701633453, 'redshifts/outlier_fraction_cata_bin_1': 0.09886587411165237, 'redshifts/outlier_fraction_cata_bin_2': 0.07307012379169464, 'redshifts/outlier_fraction_cata_bin_3': 0.06057268753647804, 'redshifts/outlier_fraction_cata_bin_4': 0.06049821898341179, 'redshifts/outlier_fraction_cata_bin_5': 0.018050542101264}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 68%|██████▊ | 262/383 [12:03:30<5:07:57, 152.70s/it]" + " 16%|█▋ | 257/1563 [22:39<2:05:09, 5.75s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([50913.])\n", - "{'redshifts/mse': 0.2822813391685486}\n" + "total num of pts: tensor([16644.])\n", + "total num of pts: tensor([6065., 4069., 1706., 909., 563., 3332.])\n", + "{'redshifts/bias_abs': 0.07472950965166092, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.08849310129880905, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.00391644099727273, 'redshifts/bias_bin_0': 0.03042096272110939, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30805039405822754, 'redshifts/mse_bin_0': 0.4369641840457916, 'redshifts/mse_bin_1': 0.35819143056869507, 'redshifts/mse_bin_2': 0.25419676303863525, 'redshifts/mse_bin_3': 0.2236170768737793, 'redshifts/mse_bin_4': 0.2401883602142334, 'redshifts/mse_bin_5': 0.0742410346865654, 'redshifts/nmad': 0.11107353866100311, 'redshifts/nmad_bin_0': 0.21389611065387726, 'redshifts/nmad_bin_1': 0.13303150236606598, 'redshifts/nmad_bin_2': 0.0837031900882721, 'redshifts/nmad_bin_3': 0.07013363391160965, 'redshifts/nmad_bin_4': 0.058588627725839615, 'redshifts/nmad_bin_5': 0.03490478917956352, 'redshifts/outlier_fraction': 0.32528239488601685, 'redshifts/outlier_fraction_bin_0': 0.49002474546432495, 'redshifts/outlier_fraction_bin_1': 0.35070040822029114, 'redshifts/outlier_fraction_bin_2': 0.25263774394989014, 'redshifts/outlier_fraction_bin_3': 0.19361935555934906, 'redshifts/outlier_fraction_bin_4': 0.16696269810199738, 'redshifts/outlier_fraction_bin_5': 0.09423769265413284, 'redshifts/outlier_fraction_cata': 0.08777938038110733, 'redshifts/outlier_fraction_cata_bin_0': 0.12926627695560455, 'redshifts/outlier_fraction_cata_bin_1': 0.09928729385137558, 'redshifts/outlier_fraction_cata_bin_2': 0.072684645652771, 'redshifts/outlier_fraction_cata_bin_3': 0.060506049543619156, 'redshifts/outlier_fraction_cata_bin_4': 0.060390762984752655, 'redshifts/outlier_fraction_cata_bin_5': 0.018007202073931694}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 69%|██████▊ | 263/383 [12:06:06<5:07:02, 153.52s/it]" + " 17%|█▋ | 258/1563 [22:45<2:07:17, 5.85s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([51089.])\n", - "{'redshifts/mse': 0.28225743770599365}\n" + "total num of pts: tensor([16710.])\n", + "total num of pts: tensor([6091., 4084., 1712., 915., 565., 3343.])\n", + "{'redshifts/bias_abs': 0.07469461858272552, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.08818467706441879, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.0039466917514801025, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.0031656830105930567, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.30777138471603394, 'redshifts/mse_bin_0': 0.43633103370666504, 'redshifts/mse_bin_1': 0.3576430380344391, 'redshifts/mse_bin_2': 0.25532570481300354, 'redshifts/mse_bin_3': 0.2222847044467926, 'redshifts/mse_bin_4': 0.23934663832187653, 'redshifts/mse_bin_5': 0.07442932575941086, 'redshifts/nmad': 0.11099818348884583, 'redshifts/nmad_bin_0': 0.21359999477863312, 'redshifts/nmad_bin_1': 0.1326330155134201, 'redshifts/nmad_bin_2': 0.08376172930002213, 'redshifts/nmad_bin_3': 0.07034960389137268, 'redshifts/nmad_bin_4': 0.058588627725839615, 'redshifts/nmad_bin_5': 0.03492860496044159, 'redshifts/outlier_fraction': 0.3249551057815552, 'redshifts/outlier_fraction_bin_0': 0.4895747900009155, 'redshifts/outlier_fraction_bin_1': 0.34990206360816956, 'redshifts/outlier_fraction_bin_2': 0.2535046637058258, 'redshifts/outlier_fraction_bin_3': 0.19234973192214966, 'redshifts/outlier_fraction_bin_4': 0.166371688246727, 'redshifts/outlier_fraction_bin_5': 0.09422674030065536, 'redshifts/outlier_fraction_cata': 0.08773189783096313, 'redshifts/outlier_fraction_cata_bin_0': 0.129042848944664, 'redshifts/outlier_fraction_cata_bin_1': 0.09916748106479645, 'redshifts/outlier_fraction_cata_bin_2': 0.0730140209197998, 'redshifts/outlier_fraction_cata_bin_3': 0.06010929122567177, 'redshifts/outlier_fraction_cata_bin_4': 0.06017699092626572, 'redshifts/outlier_fraction_cata_bin_5': 0.018247082829475403}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 69%|██████▉ | 264/383 [12:08:37<5:02:53, 152.72s/it]" + " 17%|█▋ | 259/1563 [22:52<2:15:34, 6.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([51279.])\n", - "{'redshifts/mse': 0.2824348211288452}\n" + "total num of pts: tensor([16767.])\n", + "total num of pts: tensor([6112., 4099., 1718., 917., 567., 3354.])\n", + "{'redshifts/bias_abs': 0.074709452688694, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.08828442543745041, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.003954622428864241, 'redshifts/bias_bin_0': 0.03042096272110939, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30746132135391235, 'redshifts/mse_bin_0': 0.4361397325992584, 'redshifts/mse_bin_1': 0.35710668563842773, 'redshifts/mse_bin_2': 0.2546241283416748, 'redshifts/mse_bin_3': 0.22230957448482513, 'redshifts/mse_bin_4': 0.23893634974956512, 'redshifts/mse_bin_5': 0.07422827929258347, 'redshifts/nmad': 0.11101693660020828, 'redshifts/nmad_bin_0': 0.2136288434267044, 'redshifts/nmad_bin_1': 0.13278205692768097, 'redshifts/nmad_bin_2': 0.08387785404920578, 'redshifts/nmad_bin_3': 0.07068636268377304, 'redshifts/nmad_bin_4': 0.058669231832027435, 'redshifts/nmad_bin_5': 0.03490478917956352, 'redshifts/outlier_fraction': 0.32516252994537354, 'redshifts/outlier_fraction_bin_0': 0.4895288050174713, 'redshifts/outlier_fraction_bin_1': 0.3505733013153076, 'redshifts/outlier_fraction_bin_2': 0.2532013952732086, 'redshifts/outlier_fraction_bin_3': 0.19302071630954742, 'redshifts/outlier_fraction_bin_4': 0.1675485074520111, 'redshifts/outlier_fraction_bin_5': 0.09421586245298386, 'redshifts/outlier_fraction_cata': 0.08773185312747955, 'redshifts/outlier_fraction_cata_bin_0': 0.12925392389297485, 'redshifts/outlier_fraction_cata_bin_1': 0.09904854744672775, 'redshifts/outlier_fraction_cata_bin_2': 0.07275902479887009, 'redshifts/outlier_fraction_cata_bin_3': 0.059978190809488297, 'redshifts/outlier_fraction_cata_bin_4': 0.059964727610349655, 'redshifts/outlier_fraction_cata_bin_5': 0.01818723976612091}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 69%|██████▉ | 265/383 [12:11:12<5:01:43, 153.42s/it]" + " 17%|█▋ | 260/1563 [23:00<2:24:24, 6.65s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([51471.])\n", - "{'redshifts/mse': 0.28258368372917175}\n" + "total num of pts: tensor([16844.])\n", + "total num of pts: tensor([6138., 4122., 1730., 919., 570., 3365.])\n", + "{'redshifts/bias_abs': 0.07484965026378632, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.08846013993024826, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.003954622428864241, 'redshifts/bias_bin_0': 0.030026938766241074, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.30808690190315247, 'redshifts/mse_bin_0': 0.43743035197257996, 'redshifts/mse_bin_1': 0.3577537536621094, 'redshifts/mse_bin_2': 0.2551208734512329, 'redshifts/mse_bin_3': 0.2218390703201294, 'redshifts/mse_bin_4': 0.23769529163837433, 'redshifts/mse_bin_5': 0.07402542233467102, 'redshifts/nmad': 0.11121915280818939, 'redshifts/nmad_bin_0': 0.21414823830127716, 'redshifts/nmad_bin_1': 0.13288003206253052, 'redshifts/nmad_bin_2': 0.08445672690868378, 'redshifts/nmad_bin_3': 0.07024602591991425, 'redshifts/nmad_bin_4': 0.058098070323467255, 'redshifts/nmad_bin_5': 0.03494500368833542, 'redshifts/outlier_fraction': 0.3254571259021759, 'redshifts/outlier_fraction_bin_0': 0.48973608016967773, 'redshifts/outlier_fraction_bin_1': 0.3508005738258362, 'redshifts/outlier_fraction_bin_2': 0.2549133002758026, 'redshifts/outlier_fraction_bin_3': 0.19260065257549286, 'redshifts/outlier_fraction_bin_4': 0.1666666716337204, 'redshifts/outlier_fraction_bin_5': 0.09420505166053772, 'redshifts/outlier_fraction_cata': 0.08792448043823242, 'redshifts/outlier_fraction_cata_bin_0': 0.12984685599803925, 'redshifts/outlier_fraction_cata_bin_1': 0.09898107498884201, 'redshifts/outlier_fraction_cata_bin_2': 0.0728323683142662, 'redshifts/outlier_fraction_cata_bin_3': 0.05984766036272049, 'redshifts/outlier_fraction_cata_bin_4': 0.05964912101626396, 'redshifts/outlier_fraction_cata_bin_5': 0.018127785995602608}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 69%|██████▉ | 266/383 [12:13:42<4:57:13, 152.42s/it]" + " 17%|█▋ | 261/1563 [23:08<2:32:57, 7.05s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([51669.])\n", - "{'redshifts/mse': 0.28248369693756104}\n" + "total num of pts: tensor([16895.])\n", + "total num of pts: tensor([6153., 4134., 1737., 920., 575., 3376.])\n", + "{'redshifts/bias_abs': 0.07481461763381958, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.08867381513118744, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.003957957029342651, 'redshifts/bias_bin_0': 0.030026938766241074, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.3079550266265869, 'redshifts/mse_bin_0': 0.436932772397995, 'redshifts/mse_bin_1': 0.3590618371963501, 'redshifts/mse_bin_2': 0.25414320826530457, 'redshifts/mse_bin_3': 0.22159799933433533, 'redshifts/mse_bin_4': 0.23575352132320404, 'redshifts/mse_bin_5': 0.07382135838270187, 'redshifts/nmad': 0.11119686812162399, 'redshifts/nmad_bin_0': 0.21391430497169495, 'redshifts/nmad_bin_1': 0.13338568806648254, 'redshifts/nmad_bin_2': 0.08405724167823792, 'redshifts/nmad_bin_3': 0.07013363391160965, 'redshifts/nmad_bin_4': 0.05778704583644867, 'redshifts/nmad_bin_5': 0.034898363053798676, 'redshifts/outlier_fraction': 0.32554009556770325, 'redshifts/outlier_fraction_bin_0': 0.48967984318733215, 'redshifts/outlier_fraction_bin_1': 0.35195934772491455, 'redshifts/outlier_fraction_bin_2': 0.25388601422309875, 'redshifts/outlier_fraction_bin_3': 0.1923913061618805, 'redshifts/outlier_fraction_bin_4': 0.16695652902126312, 'redshifts/outlier_fraction_bin_5': 0.09419431537389755, 'redshifts/outlier_fraction_cata': 0.08777745068073273, 'redshifts/outlier_fraction_cata_bin_0': 0.12953031063079834, 'redshifts/outlier_fraction_cata_bin_1': 0.09917755424976349, 'redshifts/outlier_fraction_cata_bin_2': 0.07253886014223099, 'redshifts/outlier_fraction_cata_bin_3': 0.05978260934352875, 'redshifts/outlier_fraction_cata_bin_4': 0.059130433946847916, 'redshifts/outlier_fraction_cata_bin_5': 0.018068719655275345}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 70%|██████▉ | 267/383 [12:16:15<4:55:06, 152.64s/it]" + " 17%|█▋ | 262/1563 [23:15<2:36:20, 7.21s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([51859.])\n", - "{'redshifts/mse': 0.28224122524261475}\n" + "total num of pts: tensor([16962.])\n", + "total num of pts: tensor([6177., 4148., 1741., 924., 576., 3396.])\n", + "{'redshifts/bias_abs': 0.07480993121862411, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.08912499994039536, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.03950180485844612, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.00391644099727273, 'redshifts/bias_bin_0': 0.030004778876900673, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.30770453810691833, 'redshifts/mse_bin_0': 0.4360489249229431, 'redshifts/mse_bin_1': 0.36037564277648926, 'redshifts/mse_bin_2': 0.25376397371292114, 'redshifts/mse_bin_3': 0.22094164788722992, 'redshifts/mse_bin_4': 0.23534634709358215, 'redshifts/mse_bin_5': 0.0734580010175705, 'redshifts/nmad': 0.11115728318691254, 'redshifts/nmad_bin_0': 0.21327906847000122, 'redshifts/nmad_bin_1': 0.13362473249435425, 'redshifts/nmad_bin_2': 0.08445672690868378, 'redshifts/nmad_bin_3': 0.07039014995098114, 'redshifts/nmad_bin_4': 0.05771733447909355, 'redshifts/nmad_bin_5': 0.034898363053798676, 'redshifts/outlier_fraction': 0.32525646686553955, 'redshifts/outlier_fraction_bin_0': 0.48874858021736145, 'redshifts/outlier_fraction_bin_1': 0.3527000844478607, 'redshifts/outlier_fraction_bin_2': 0.25387707352638245, 'redshifts/outlier_fraction_bin_3': 0.19264069199562073, 'redshifts/outlier_fraction_bin_4': 0.1666666716337204, 'redshifts/outlier_fraction_bin_5': 0.09393403679132462, 'redshifts/outlier_fraction_cata': 0.08778446167707443, 'redshifts/outlier_fraction_cata_bin_0': 0.12935081124305725, 'redshifts/outlier_fraction_cata_bin_1': 0.09980713576078415, 'redshifts/outlier_fraction_cata_bin_2': 0.0723721981048584, 'redshifts/outlier_fraction_cata_bin_3': 0.0595238097012043, 'redshifts/outlier_fraction_cata_bin_4': 0.0590277761220932, 'redshifts/outlier_fraction_cata_bin_5': 0.01796230860054493}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 70%|██████▉ | 268/383 [12:18:49<4:53:15, 153.01s/it]" + " 17%|█▋ | 263/1563 [23:22<2:34:49, 7.15s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([52071.])\n", - "{'redshifts/mse': 0.2822440564632416}\n" + "total num of pts: tensor([17035.])\n", + "total num of pts: tensor([6203., 4165., 1751., 925., 577., 3414.])\n", + "{'redshifts/bias_abs': 0.07481461763381958, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.08914192020893097, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.003966276068240404, 'redshifts/bias_bin_0': 0.030004778876900673, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.30738574266433716, 'redshifts/mse_bin_0': 0.4353274405002594, 'redshifts/mse_bin_1': 0.3595052659511566, 'redshifts/mse_bin_2': 0.2541531026363373, 'redshifts/mse_bin_3': 0.22070300579071045, 'redshifts/mse_bin_4': 0.2349529266357422, 'redshifts/mse_bin_5': 0.07437117397785187, 'redshifts/nmad': 0.11123643815517426, 'redshifts/nmad_bin_0': 0.21292826533317566, 'redshifts/nmad_bin_1': 0.13354423642158508, 'redshifts/nmad_bin_2': 0.08432307839393616, 'redshifts/nmad_bin_3': 0.07024602591991425, 'redshifts/nmad_bin_4': 0.05795944109559059, 'redshifts/nmad_bin_5': 0.03498946502804756, 'redshifts/outlier_fraction': 0.32491928339004517, 'redshifts/outlier_fraction_bin_0': 0.4879896938800812, 'redshifts/outlier_fraction_bin_1': 0.35246098041534424, 'redshifts/outlier_fraction_bin_2': 0.2535693943500519, 'redshifts/outlier_fraction_bin_3': 0.1924324333667755, 'redshifts/outlier_fraction_bin_4': 0.16637781262397766, 'redshifts/outlier_fraction_bin_5': 0.09431751817464828, 'redshifts/outlier_fraction_cata': 0.08770179003477097, 'redshifts/outlier_fraction_cata_bin_0': 0.12913106381893158, 'redshifts/outlier_fraction_cata_bin_1': 0.09963985532522202, 'redshifts/outlier_fraction_cata_bin_2': 0.07252998650074005, 'redshifts/outlier_fraction_cata_bin_3': 0.05945945903658867, 'redshifts/outlier_fraction_cata_bin_4': 0.05892547592520714, 'redshifts/outlier_fraction_cata_bin_5': 0.018160516396164894}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 70%|███████ | 269/383 [12:21:23<4:51:37, 153.49s/it]" + " 17%|█▋ | 264/1563 [23:34<3:03:52, 8.49s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([52272.])\n", - "{'redshifts/mse': 0.28257784247398376}\n" + "total num of pts: tensor([17103.])\n", + "total num of pts: tensor([6230., 4185., 1759., 929., 577., 3423.])\n", + "{'redshifts/bias_abs': 0.07490146905183792, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.08917947858572006, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.03956664353609085, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.0039466917514801025, 'redshifts/bias_bin_0': 0.030026938766241074, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.0010925233364105225, 'redshifts/mse': 0.3070503771305084, 'redshifts/mse_bin_0': 0.43515101075172424, 'redshifts/mse_bin_1': 0.35870543122291565, 'redshifts/mse_bin_2': 0.2530979514122009, 'redshifts/mse_bin_3': 0.21995067596435547, 'redshifts/mse_bin_4': 0.2349529266357422, 'redshifts/mse_bin_5': 0.07426545023918152, 'redshifts/nmad': 0.11127393692731857, 'redshifts/nmad_bin_0': 0.21301232278347015, 'redshifts/nmad_bin_1': 0.13357652723789215, 'redshifts/nmad_bin_2': 0.08429526537656784, 'redshifts/nmad_bin_3': 0.07047039270401001, 'redshifts/nmad_bin_4': 0.05795944109559059, 'redshifts/nmad_bin_5': 0.03501349687576294, 'redshifts/outlier_fraction': 0.32520610094070435, 'redshifts/outlier_fraction_bin_0': 0.4884430170059204, 'redshifts/outlier_fraction_bin_1': 0.35268816351890564, 'redshifts/outlier_fraction_bin_2': 0.25241613388061523, 'redshifts/outlier_fraction_bin_3': 0.19268029928207397, 'redshifts/outlier_fraction_bin_4': 0.16637781262397766, 'redshifts/outlier_fraction_bin_5': 0.09465381503105164, 'redshifts/outlier_fraction_cata': 0.08764544129371643, 'redshifts/outlier_fraction_cata_bin_0': 0.12921348214149475, 'redshifts/outlier_fraction_cata_bin_1': 0.09940262883901596, 'redshifts/outlier_fraction_cata_bin_2': 0.07220011204481125, 'redshifts/outlier_fraction_cata_bin_3': 0.05920344591140747, 'redshifts/outlier_fraction_cata_bin_4': 0.05892547592520714, 'redshifts/outlier_fraction_cata_bin_5': 0.01811276748776436}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 70%|███████ | 270/383 [12:23:56<4:48:38, 153.26s/it]" + " 17%|█▋ | 265/1563 [23:40<2:45:45, 7.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([52449.])\n", - "{'redshifts/mse': 0.282272607088089}\n" + "total num of pts: tensor([17163.])\n", + "total num of pts: tensor([6258., 4197., 1763., 932., 580., 3433.])\n", + "{'redshifts/bias_abs': 0.07499217242002487, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.08924205601215363, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.03950180485844612, 'redshifts/bias_abs_bin_5': 0.023685313761234283, 'redshifts/bias': 0.003910630941390991, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.30719316005706787, 'redshifts/mse_bin_0': 0.4354480504989624, 'redshifts/mse_bin_1': 0.3581590950489044, 'redshifts/mse_bin_2': 0.2528251111507416, 'redshifts/mse_bin_3': 0.21962252259254456, 'redshifts/mse_bin_4': 0.23903727531433105, 'redshifts/mse_bin_5': 0.07429946959018707, 'redshifts/nmad': 0.11138792335987091, 'redshifts/nmad_bin_0': 0.21339042484760284, 'redshifts/nmad_bin_1': 0.13392166793346405, 'redshifts/nmad_bin_2': 0.0842975452542305, 'redshifts/nmad_bin_3': 0.07039893418550491, 'redshifts/nmad_bin_4': 0.057669155299663544, 'redshifts/nmad_bin_5': 0.03502693399786949, 'redshifts/outlier_fraction': 0.3257589042186737, 'redshifts/outlier_fraction_bin_0': 0.4888143241405487, 'redshifts/outlier_fraction_bin_1': 0.3528710901737213, 'redshifts/outlier_fraction_bin_2': 0.2524106502532959, 'redshifts/outlier_fraction_bin_3': 0.19420601427555084, 'redshifts/outlier_fraction_bin_4': 0.16724137961864471, 'redshifts/outlier_fraction_bin_5': 0.0955432578921318, 'redshifts/outlier_fraction_cata': 0.08763036876916885, 'redshifts/outlier_fraction_cata_bin_0': 0.12927453219890594, 'redshifts/outlier_fraction_cata_bin_1': 0.0991184189915657, 'redshifts/outlier_fraction_cata_bin_2': 0.07203630357980728, 'redshifts/outlier_fraction_cata_bin_3': 0.05901287496089935, 'redshifts/outlier_fraction_cata_bin_4': 0.06034482643008232, 'redshifts/outlier_fraction_cata_bin_5': 0.018060006201267242}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 71%|███████ | 271/383 [12:26:31<4:46:47, 153.64s/it]" + " 17%|█▋ | 266/1563 [23:45<2:26:56, 6.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([52661.])\n", - "{'redshifts/mse': 0.28218671679496765}\n" + "total num of pts: tensor([17221.])\n", + "total num of pts: tensor([6279., 4209., 1770., 940., 580., 3443.])\n", + "{'redshifts/bias_abs': 0.07490146905183792, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.08919405937194824, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.03950180485844612, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.003922145813703537, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0010925233364105225, 'redshifts/mse': 0.3073273003101349, 'redshifts/mse_bin_0': 0.43530985713005066, 'redshifts/mse_bin_1': 0.3592105209827423, 'redshifts/mse_bin_2': 0.2527945041656494, 'redshifts/mse_bin_3': 0.21912476420402527, 'redshifts/mse_bin_4': 0.23903727531433105, 'redshifts/mse_bin_5': 0.0741192027926445, 'redshifts/nmad': 0.11130288243293762, 'redshifts/nmad_bin_0': 0.21316969394683838, 'redshifts/nmad_bin_1': 0.13401441276073456, 'redshifts/nmad_bin_2': 0.08415567874908447, 'redshifts/nmad_bin_3': 0.07024602591991425, 'redshifts/nmad_bin_4': 0.057669155299663544, 'redshifts/nmad_bin_5': 0.03506672754883766, 'redshifts/outlier_fraction': 0.3255908489227295, 'redshifts/outlier_fraction_bin_0': 0.48813503980636597, 'redshifts/outlier_fraction_bin_1': 0.3528153896331787, 'redshifts/outlier_fraction_bin_2': 0.25310733914375305, 'redshifts/outlier_fraction_bin_3': 0.194680854678154, 'redshifts/outlier_fraction_bin_4': 0.16724137961864471, 'redshifts/outlier_fraction_bin_5': 0.09555619955062866, 'redshifts/outlier_fraction_cata': 0.08774171024560928, 'redshifts/outlier_fraction_cata_bin_0': 0.1293199509382248, 'redshifts/outlier_fraction_cata_bin_1': 0.09931100159883499, 'redshifts/outlier_fraction_cata_bin_2': 0.07231638580560684, 'redshifts/outlier_fraction_cata_bin_3': 0.059574469923973083, 'redshifts/outlier_fraction_cata_bin_4': 0.06034482643008232, 'redshifts/outlier_fraction_cata_bin_5': 0.01800755225121975}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 71%|███████ | 272/383 [12:28:56<4:39:26, 151.05s/it]" + " 17%|█▋ | 267/1563 [23:51<2:22:06, 6.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([52857.])\n", - "{'redshifts/mse': 0.2820563316345215}\n" + "total num of pts: tensor([17295.])\n", + "total num of pts: tensor([6306., 4233., 1775., 943., 580., 3458.])\n", + "{'redshifts/bias_abs': 0.07488454133272171, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.08912499994039536, 'redshifts/bias_abs_bin_2': 0.057129621505737305, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.03950180485844612, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.003893163986504078, 'redshifts/bias_bin_0': 0.03042096272110939, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.30759531259536743, 'redshifts/mse_bin_0': 0.4351019561290741, 'redshifts/mse_bin_1': 0.36101028323173523, 'redshifts/mse_bin_2': 0.252373605966568, 'redshifts/mse_bin_3': 0.21845924854278564, 'redshifts/mse_bin_4': 0.23903727531433105, 'redshifts/mse_bin_5': 0.07384110242128372, 'redshifts/nmad': 0.11125992238521576, 'redshifts/nmad_bin_0': 0.21310502290725708, 'redshifts/nmad_bin_1': 0.13388489186763763, 'redshifts/nmad_bin_2': 0.08360712230205536, 'redshifts/nmad_bin_3': 0.07039014995098114, 'redshifts/nmad_bin_4': 0.057669155299663544, 'redshifts/nmad_bin_5': 0.03503281995654106, 'redshifts/outlier_fraction': 0.3254697918891907, 'redshifts/outlier_fraction_bin_0': 0.48826515674591064, 'redshifts/outlier_fraction_bin_1': 0.35246869921684265, 'redshifts/outlier_fraction_bin_2': 0.2529577612876892, 'redshifts/outlier_fraction_bin_3': 0.1940615028142929, 'redshifts/outlier_fraction_bin_4': 0.16724137961864471, 'redshifts/outlier_fraction_bin_5': 0.09514170140028, 'redshifts/outlier_fraction_cata': 0.08777103573083878, 'redshifts/outlier_fraction_cata_bin_0': 0.12924198806285858, 'redshifts/outlier_fraction_cata_bin_1': 0.09969288855791092, 'redshifts/outlier_fraction_cata_bin_2': 0.07211267948150635, 'redshifts/outlier_fraction_cata_bin_3': 0.059384942054748535, 'redshifts/outlier_fraction_cata_bin_4': 0.06034482643008232, 'redshifts/outlier_fraction_cata_bin_5': 0.01792943850159645}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 71%|███████▏ | 273/383 [12:31:30<4:39:02, 152.21s/it]" + " 17%|█▋ | 268/1563 [23:55<2:08:08, 5.94s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([53073.])\n", - "{'redshifts/mse': 0.2823679447174072}\n" + "total num of pts: tensor([17361.])\n", + "total num of pts: tensor([6331., 4244., 1782., 945., 583., 3476.])\n", + "{'redshifts/bias_abs': 0.07488454133272171, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.0888902023434639, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.003893163986504078, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.008334442973136902, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.30767497420310974, 'redshifts/mse_bin_0': 0.4352138340473175, 'redshifts/mse_bin_1': 0.3620813488960266, 'redshifts/mse_bin_2': 0.25151678919792175, 'redshifts/mse_bin_3': 0.21804927289485931, 'redshifts/mse_bin_4': 0.2397598922252655, 'redshifts/mse_bin_5': 0.07350291311740875, 'redshifts/nmad': 0.11125992238521576, 'redshifts/nmad_bin_0': 0.21322445571422577, 'redshifts/nmad_bin_1': 0.13359284400939941, 'redshifts/nmad_bin_2': 0.08377677202224731, 'redshifts/nmad_bin_3': 0.07045262306928635, 'redshifts/nmad_bin_4': 0.058098070323467255, 'redshifts/nmad_bin_5': 0.034994322806596756, 'redshifts/outlier_fraction': 0.32549968361854553, 'redshifts/outlier_fraction_bin_0': 0.4885483980178833, 'redshifts/outlier_fraction_bin_1': 0.3524976372718811, 'redshifts/outlier_fraction_bin_2': 0.2530864179134369, 'redshifts/outlier_fraction_bin_3': 0.19365079700946808, 'redshifts/outlier_fraction_bin_4': 0.16981132328510284, 'redshifts/outlier_fraction_bin_5': 0.09464902430772781, 'redshifts/outlier_fraction_cata': 0.08772536367177963, 'redshifts/outlier_fraction_cata_bin_0': 0.12920549511909485, 'redshifts/outlier_fraction_cata_bin_1': 0.09990575164556503, 'redshifts/outlier_fraction_cata_bin_2': 0.0718294084072113, 'redshifts/outlier_fraction_cata_bin_3': 0.05925925821065903, 'redshifts/outlier_fraction_cata_bin_4': 0.06003430485725403, 'redshifts/outlier_fraction_cata_bin_5': 0.017836593091487885}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 72%|███████▏ | 274/383 [12:34:02<4:36:23, 152.15s/it]" + " 17%|█▋ | 269/1563 [24:00<1:58:38, 5.50s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([53270.])\n", - "{'redshifts/mse': 0.2824800908565521}\n" + "total num of pts: tensor([17423.])\n", + "total num of pts: tensor([6356., 4259., 1787., 951., 585., 3485.])\n", + "{'redshifts/bias_abs': 0.07481461763381958, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.08856625109910965, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.0039031223859637976, 'redshifts/bias_bin_0': 0.030562477186322212, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.008334442973136902, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.306979238986969, 'redshifts/mse_bin_0': 0.4342721700668335, 'redshifts/mse_bin_1': 0.3611971139907837, 'redshifts/mse_bin_2': 0.2508833110332489, 'redshifts/mse_bin_3': 0.21675333380699158, 'redshifts/mse_bin_4': 0.23913206160068512, 'redshifts/mse_bin_5': 0.07333595305681229, 'redshifts/nmad': 0.11117186397314072, 'redshifts/nmad_bin_0': 0.21283172070980072, 'redshifts/nmad_bin_1': 0.13341091573238373, 'redshifts/nmad_bin_2': 0.08345317840576172, 'redshifts/nmad_bin_3': 0.07074390351772308, 'redshifts/nmad_bin_4': 0.05827101320028305, 'redshifts/nmad_bin_5': 0.03503900021314621, 'redshifts/outlier_fraction': 0.3252597153186798, 'redshifts/outlier_fraction_bin_0': 0.4882001280784607, 'redshifts/outlier_fraction_bin_1': 0.35196053981781006, 'redshifts/outlier_fraction_bin_2': 0.25237828493118286, 'redshifts/outlier_fraction_bin_3': 0.19348055124282837, 'redshifts/outlier_fraction_bin_4': 0.17094017565250397, 'redshifts/outlier_fraction_bin_5': 0.09469153732061386, 'redshifts/outlier_fraction_cata': 0.08741319179534912, 'redshifts/outlier_fraction_cata_bin_0': 0.12869729101657867, 'redshifts/outlier_fraction_cata_bin_1': 0.09955388307571411, 'redshifts/outlier_fraction_cata_bin_2': 0.07162842899560928, 'redshifts/outlier_fraction_cata_bin_3': 0.05888538435101509, 'redshifts/outlier_fraction_cata_bin_4': 0.05982905998826027, 'redshifts/outlier_fraction_cata_bin_5': 0.017790531739592552}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 72%|███████▏ | 275/383 [12:36:36<4:34:41, 152.60s/it]" + " 17%|█▋ | 270/1563 [24:04<1:51:26, 5.17s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([53436.])\n", - "{'redshifts/mse': 0.28233620524406433}\n" + "total num of pts: tensor([17486.])\n", + "total num of pts: tensor([6386., 4277., 1791., 952., 585., 3495.])\n", + "{'redshifts/bias_abs': 0.07480288296937943, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.08856625109910965, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.003871108638122678, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.009466680698096752, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.008334442973136902, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.30708497762680054, 'redshifts/mse_bin_0': 0.4337679147720337, 'redshifts/mse_bin_1': 0.36064717173576355, 'redshifts/mse_bin_2': 0.2504316568374634, 'redshifts/mse_bin_3': 0.2165401428937912, 'redshifts/mse_bin_4': 0.23913206160068512, 'redshifts/mse_bin_5': 0.07513564825057983, 'redshifts/nmad': 0.11114075779914856, 'redshifts/nmad_bin_0': 0.21280699968338013, 'redshifts/nmad_bin_1': 0.13333477079868317, 'redshifts/nmad_bin_2': 0.08333685994148254, 'redshifts/nmad_bin_3': 0.07074390351772308, 'redshifts/nmad_bin_4': 0.05827101320028305, 'redshifts/nmad_bin_5': 0.03505690395832062, 'redshifts/outlier_fraction': 0.3252888023853302, 'redshifts/outlier_fraction_bin_0': 0.4879423677921295, 'redshifts/outlier_fraction_bin_1': 0.35164836049079895, 'redshifts/outlier_fraction_bin_2': 0.25237298011779785, 'redshifts/outlier_fraction_bin_3': 0.19327731430530548, 'redshifts/outlier_fraction_bin_4': 0.17094017565250397, 'redshifts/outlier_fraction_bin_5': 0.09499284625053406, 'redshifts/outlier_fraction_cata': 0.08744138479232788, 'redshifts/outlier_fraction_cata_bin_0': 0.12871907651424408, 'redshifts/outlier_fraction_cata_bin_1': 0.09936871379613876, 'redshifts/outlier_fraction_cata_bin_2': 0.07146845012903214, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.05982905998826027, 'redshifts/outlier_fraction_cata_bin_5': 0.018025750294327736}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 72%|███████▏ | 276/383 [12:39:14<4:35:04, 154.24s/it]" + " 17%|█▋ | 271/1563 [24:09<1:47:29, 4.99s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([53639.])\n", - "{'redshifts/mse': 0.2823083698749542}\n" + "total num of pts: tensor([17550.])\n", + "total num of pts: tensor([6413., 4292., 1799., 955., 586., 3505.])\n", + "{'redshifts/bias_abs': 0.07484965026378632, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.08849086612462997, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.0038738190196454525, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.009474060498178005, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.30708232522010803, 'redshifts/mse_bin_0': 0.43265777826309204, 'redshifts/mse_bin_1': 0.3604000508785248, 'redshifts/mse_bin_2': 0.2548768222332001, 'redshifts/mse_bin_3': 0.21587713062763214, 'redshifts/mse_bin_4': 0.2387552112340927, 'redshifts/mse_bin_5': 0.07510064542293549, 'redshifts/nmad': 0.11115999519824982, 'redshifts/nmad_bin_0': 0.21188263595104218, 'redshifts/nmad_bin_1': 0.1330527663230896, 'redshifts/nmad_bin_2': 0.08375884592533112, 'redshifts/nmad_bin_3': 0.07069020718336105, 'redshifts/nmad_bin_4': 0.05825577676296234, 'redshifts/nmad_bin_5': 0.03499762713909149, 'redshifts/outlier_fraction': 0.32507121562957764, 'redshifts/outlier_fraction_bin_0': 0.4872914254665375, 'redshifts/outlier_fraction_bin_1': 0.3513513505458832, 'redshifts/outlier_fraction_bin_2': 0.2523624300956726, 'redshifts/outlier_fraction_bin_3': 0.19267015159130096, 'redshifts/outlier_fraction_bin_4': 0.1706484705209732, 'redshifts/outlier_fraction_bin_5': 0.09529244154691696, 'redshifts/outlier_fraction_cata': 0.08735042810440063, 'redshifts/outlier_fraction_cata_bin_0': 0.12833307683467865, 'redshifts/outlier_fraction_cata_bin_1': 0.09925442934036255, 'redshifts/outlier_fraction_cata_bin_2': 0.07226236909627914, 'redshifts/outlier_fraction_cata_bin_3': 0.05863874405622482, 'redshifts/outlier_fraction_cata_bin_4': 0.059726960957050323, 'redshifts/outlier_fraction_cata_bin_5': 0.01797432266175747}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 72%|███████▏ | 277/383 [12:41:50<4:33:33, 154.84s/it]" + " 17%|█▋ | 272/1563 [24:16<2:01:58, 5.67s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([53842.])\n", - "{'redshifts/mse': 0.2824001610279083}\n" + "total num of pts: tensor([17610.])\n", + "total num of pts: tensor([6434., 4307., 1804., 957., 590., 3518.])\n", + "{'redshifts/bias_abs': 0.07488454133272171, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.0888902023434639, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.003888458013534546, 'redshifts/bias_bin_0': 0.030562477186322212, 'redshifts/bias_bin_1': 0.009466680698096752, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.30644842982292175, 'redshifts/mse_bin_0': 0.43203890323638916, 'redshifts/mse_bin_1': 0.3594568073749542, 'redshifts/mse_bin_2': 0.2543450891971588, 'redshifts/mse_bin_3': 0.21542692184448242, 'redshifts/mse_bin_4': 0.23719573020935059, 'redshifts/mse_bin_5': 0.07495488226413727, 'redshifts/nmad': 0.1112322136759758, 'redshifts/nmad_bin_0': 0.21283172070980072, 'redshifts/nmad_bin_1': 0.1335657387971878, 'redshifts/nmad_bin_2': 0.0832076370716095, 'redshifts/nmad_bin_3': 0.07039893418550491, 'redshifts/nmad_bin_4': 0.058033064007759094, 'redshifts/nmad_bin_5': 0.03518498316407204, 'redshifts/outlier_fraction': 0.325099378824234, 'redshifts/outlier_fraction_bin_0': 0.4877214729785919, 'redshifts/outlier_fraction_bin_1': 0.350824236869812, 'redshifts/outlier_fraction_bin_2': 0.25277161598205566, 'redshifts/outlier_fraction_bin_3': 0.192267507314682, 'redshifts/outlier_fraction_bin_4': 0.16949152946472168, 'redshifts/outlier_fraction_bin_5': 0.09550881385803223, 'redshifts/outlier_fraction_cata': 0.08705280721187592, 'redshifts/outlier_fraction_cata_bin_0': 0.1279142051935196, 'redshifts/outlier_fraction_cata_bin_1': 0.09890875220298767, 'redshifts/outlier_fraction_cata_bin_2': 0.07206208258867264, 'redshifts/outlier_fraction_cata_bin_3': 0.05851619690656662, 'redshifts/outlier_fraction_cata_bin_4': 0.05932203307747841, 'redshifts/outlier_fraction_cata_bin_5': 0.017907902598381042}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 73%|███████▎ | 278/383 [12:44:26<4:31:34, 155.19s/it]" + " 17%|█▋ | 273/1563 [24:20<1:52:08, 5.22s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([54026.])\n", - "{'redshifts/mse': 0.2830885648727417}\n" + "total num of pts: tensor([17677.])\n", + "total num of pts: tensor([6458., 4326., 1811., 961., 592., 3529.])\n", + "{'redshifts/bias_abs': 0.07496089488267899, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.08914192020893097, 'redshifts/bias_abs_bin_2': 0.05693875253200531, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023913385346531868, 'redshifts/bias': 0.0038908421993255615, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.008334442973136902, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.306518018245697, 'redshifts/mse_bin_0': 0.43160995841026306, 'redshifts/mse_bin_1': 0.3607308864593506, 'redshifts/mse_bin_2': 0.2538045644760132, 'redshifts/mse_bin_3': 0.21514929831027985, 'redshifts/mse_bin_4': 0.23685094714164734, 'redshifts/mse_bin_5': 0.07476558536291122, 'redshifts/nmad': 0.11131235957145691, 'redshifts/nmad_bin_0': 0.21222332119941711, 'redshifts/nmad_bin_1': 0.13402728736400604, 'redshifts/nmad_bin_2': 0.08322123438119888, 'redshifts/nmad_bin_3': 0.07074390351772308, 'redshifts/nmad_bin_4': 0.058033064007759094, 'redshifts/nmad_bin_5': 0.03518498316407204, 'redshifts/outlier_fraction': 0.32528144121170044, 'redshifts/outlier_fraction_bin_0': 0.487147718667984, 'redshifts/outlier_fraction_bin_1': 0.35182616114616394, 'redshifts/outlier_fraction_bin_2': 0.2528989613056183, 'redshifts/outlier_fraction_bin_3': 0.19354838132858276, 'redshifts/outlier_fraction_bin_4': 0.17060810327529907, 'redshifts/outlier_fraction_bin_5': 0.09549447149038315, 'redshifts/outlier_fraction_cata': 0.08717542886734009, 'redshifts/outlier_fraction_cata_bin_0': 0.12790337204933167, 'redshifts/outlier_fraction_cata_bin_1': 0.09963013976812363, 'redshifts/outlier_fraction_cata_bin_2': 0.07178354263305664, 'redshifts/outlier_fraction_cata_bin_3': 0.05827263370156288, 'redshifts/outlier_fraction_cata_bin_4': 0.059121619910001755, 'redshifts/outlier_fraction_cata_bin_5': 0.01785208284854889}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 73%|███████▎ | 279/383 [12:47:02<4:29:04, 155.23s/it]" + " 18%|█▊ | 274/1563 [24:25<1:48:25, 5.05s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([54214.])\n", - "{'redshifts/mse': 0.2832166254520416}\n" + "total num of pts: tensor([17726.])\n", + "total num of pts: tensor([6480., 4334., 1818., 963., 594., 3537.])\n", + "{'redshifts/bias_abs': 0.07491001486778259, 'redshifts/bias_abs_bin_0': 0.1439315229654312, 'redshifts/bias_abs_bin_1': 0.08917947858572006, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.003888458013534546, 'redshifts/bias_bin_0': 0.030026938766241074, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.3063659965991974, 'redshifts/mse_bin_0': 0.43171122670173645, 'redshifts/mse_bin_1': 0.36044618487358093, 'redshifts/mse_bin_2': 0.2529233992099762, 'redshifts/mse_bin_3': 0.2150343358516693, 'redshifts/mse_bin_4': 0.23606204986572266, 'redshifts/mse_bin_5': 0.07460259646177292, 'redshifts/nmad': 0.11128649860620499, 'redshifts/nmad_bin_0': 0.2114119678735733, 'redshifts/nmad_bin_1': 0.13406293094158173, 'redshifts/nmad_bin_2': 0.08323219418525696, 'redshifts/nmad_bin_3': 0.07069020718336105, 'redshifts/nmad_bin_4': 0.05782310292124748, 'redshifts/nmad_bin_5': 0.03507049381732941, 'redshifts/outlier_fraction': 0.3251156508922577, 'redshifts/outlier_fraction_bin_0': 0.48672839999198914, 'redshifts/outlier_fraction_bin_1': 0.3520996868610382, 'redshifts/outlier_fraction_bin_2': 0.25192520022392273, 'redshifts/outlier_fraction_bin_3': 0.19418483972549438, 'redshifts/outlier_fraction_bin_4': 0.17003366351127625, 'redshifts/outlier_fraction_bin_5': 0.09527848660945892, 'redshifts/outlier_fraction_cata': 0.087047278881073, 'redshifts/outlier_fraction_cata_bin_0': 0.12777778506278992, 'redshifts/outlier_fraction_cata_bin_1': 0.09944623708724976, 'redshifts/outlier_fraction_cata_bin_2': 0.07150714844465256, 'redshifts/outlier_fraction_cata_bin_3': 0.05815161019563675, 'redshifts/outlier_fraction_cata_bin_4': 0.05892255902290344, 'redshifts/outlier_fraction_cata_bin_5': 0.01781170442700386}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 73%|███████▎ | 280/383 [12:49:39<4:27:26, 155.79s/it]" + " 18%|█▊ | 275/1563 [24:30<1:47:33, 5.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([54399.])\n", - "{'redshifts/mse': 0.2833171486854553}\n" + "total num of pts: tensor([17785.])\n", + "total num of pts: tensor([6505., 4350., 1822., 966., 595., 3547.])\n", + "{'redshifts/bias_abs': 0.07502631098031998, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.08917947858572006, 'redshifts/bias_abs_bin_2': 0.05692415311932564, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.003888458013534546, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.008823276497423649, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.3067532777786255, 'redshifts/mse_bin_0': 0.4328630566596985, 'redshifts/mse_bin_1': 0.3604159951210022, 'redshifts/mse_bin_2': 0.252826452255249, 'redshifts/mse_bin_3': 0.214493989944458, 'redshifts/mse_bin_4': 0.23567241430282593, 'redshifts/mse_bin_5': 0.07441484183073044, 'redshifts/nmad': 0.11138634383678436, 'redshifts/nmad_bin_0': 0.2125055342912674, 'redshifts/nmad_bin_1': 0.13402728736400604, 'redshifts/nmad_bin_2': 0.08323219418525696, 'redshifts/nmad_bin_3': 0.07088341563940048, 'redshifts/nmad_bin_4': 0.057823311537504196, 'redshifts/nmad_bin_5': 0.03502805903553963, 'redshifts/outlier_fraction': 0.32533034682273865, 'redshifts/outlier_fraction_bin_0': 0.4871637225151062, 'redshifts/outlier_fraction_bin_1': 0.35218390822410583, 'redshifts/outlier_fraction_bin_2': 0.2519209682941437, 'redshifts/outlier_fraction_bin_3': 0.19461697340011597, 'redshifts/outlier_fraction_bin_4': 0.16974790394306183, 'redshifts/outlier_fraction_bin_5': 0.09500987082719803, 'redshifts/outlier_fraction_cata': 0.08703964203596115, 'redshifts/outlier_fraction_cata_bin_0': 0.1279016137123108, 'redshifts/outlier_fraction_cata_bin_1': 0.09931034594774246, 'redshifts/outlier_fraction_cata_bin_2': 0.07135016471147537, 'redshifts/outlier_fraction_cata_bin_3': 0.05797101557254791, 'redshifts/outlier_fraction_cata_bin_4': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_5': 0.017761489376425743}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 73%|███████▎ | 281/383 [12:52:15<4:24:57, 155.86s/it]" + " 18%|█▊ | 276/1563 [24:34<1:45:08, 4.90s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([54591.])\n", - "{'redshifts/mse': 0.28351685404777527}\n" + "total num of pts: tensor([17839.])\n", + "total num of pts: tensor([6523., 4365., 1826., 969., 598., 3558.])\n", + "{'redshifts/bias_abs': 0.07511720806360245, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.08932076394557953, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.003871108638122678, 'redshifts/bias_bin_0': 0.03042096272110939, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.008823276497423649, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.3075961470603943, 'redshifts/mse_bin_0': 0.4334951937198639, 'redshifts/mse_bin_1': 0.3614550232887268, 'redshifts/mse_bin_2': 0.2558462619781494, 'redshifts/mse_bin_3': 0.2157386988401413, 'redshifts/mse_bin_4': 0.2357216775417328, 'redshifts/mse_bin_5': 0.07436253130435944, 'redshifts/nmad': 0.11150030791759491, 'redshifts/nmad_bin_0': 0.213039368391037, 'redshifts/nmad_bin_1': 0.13422401249408722, 'redshifts/nmad_bin_2': 0.08326228708028793, 'redshifts/nmad_bin_3': 0.07117737084627151, 'redshifts/nmad_bin_4': 0.05782310292124748, 'redshifts/nmad_bin_5': 0.03499048575758934, 'redshifts/outlier_fraction': 0.3258030116558075, 'redshifts/outlier_fraction_bin_0': 0.4873524308204651, 'redshifts/outlier_fraction_bin_1': 0.35280641913414, 'redshifts/outlier_fraction_bin_2': 0.2535596787929535, 'redshifts/outlier_fraction_bin_3': 0.19504643976688385, 'redshifts/outlier_fraction_bin_4': 0.1705685555934906, 'redshifts/outlier_fraction_bin_5': 0.09527824819087982, 'redshifts/outlier_fraction_cata': 0.08722461760044098, 'redshifts/outlier_fraction_cata_bin_0': 0.12800858914852142, 'redshifts/outlier_fraction_cata_bin_1': 0.0996563583612442, 'redshifts/outlier_fraction_cata_bin_2': 0.0717415139079094, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.05852842703461647, 'redshifts/outlier_fraction_cata_bin_5': 0.017706576734781265}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 74%|███████▎ | 282/383 [12:54:50<4:21:43, 155.48s/it]" + " 18%|█▊ | 277/1563 [24:38<1:40:13, 4.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([54775.])\n", - "{'redshifts/mse': 0.28328800201416016}\n" + "total num of pts: tensor([17909.])\n", + "total num of pts: tensor([6548., 4391., 1838., 973., 599., 3560.])\n", + "{'redshifts/bias_abs': 0.07525109499692917, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.08932076394557953, 'redshifts/bias_abs_bin_2': 0.057129621505737305, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.003820230718702078, 'redshifts/bias_bin_0': 0.030562477186322212, 'redshifts/bias_bin_1': 0.009474060498178005, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.008334442973136902, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.30878785252571106, 'redshifts/mse_bin_0': 0.4342995584011078, 'redshifts/mse_bin_1': 0.36169129610061646, 'redshifts/mse_bin_2': 0.2593801021575928, 'redshifts/mse_bin_3': 0.21489591896533966, 'redshifts/mse_bin_4': 0.24651101231575012, 'redshifts/mse_bin_5': 0.07432848960161209, 'redshifts/nmad': 0.11158651113510132, 'redshifts/nmad_bin_0': 0.2130212038755417, 'redshifts/nmad_bin_1': 0.1341683715581894, 'redshifts/nmad_bin_2': 0.08359129726886749, 'redshifts/nmad_bin_3': 0.07096575200557709, 'redshifts/nmad_bin_4': 0.058255985379219055, 'redshifts/nmad_bin_5': 0.03503900021314621, 'redshifts/outlier_fraction': 0.32581382989883423, 'redshifts/outlier_fraction_bin_0': 0.48732438683509827, 'redshifts/outlier_fraction_bin_1': 0.35231155157089233, 'redshifts/outlier_fraction_bin_2': 0.2535364627838135, 'redshifts/outlier_fraction_bin_3': 0.1942446082830429, 'redshifts/outlier_fraction_bin_4': 0.1719532608985901, 'redshifts/outlier_fraction_bin_5': 0.09522471576929092, 'redshifts/outlier_fraction_cata': 0.08749790489673615, 'redshifts/outlier_fraction_cata_bin_0': 0.12828344106674194, 'redshifts/outlier_fraction_cata_bin_1': 0.09974949061870575, 'redshifts/outlier_fraction_cata_bin_2': 0.07236126065254211, 'redshifts/outlier_fraction_cata_bin_3': 0.05858170613646507, 'redshifts/outlier_fraction_cata_bin_4': 0.060100167989730835, 'redshifts/outlier_fraction_cata_bin_5': 0.017696628347039223}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 74%|███████▍ | 283/383 [12:57:22<4:17:31, 154.52s/it]" + " 18%|█▊ | 278/1563 [24:44<1:49:12, 5.10s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([54975.])\n", - "{'redshifts/mse': 0.28328752517700195}\n" + "total num of pts: tensor([17974.])\n", + "total num of pts: tensor([6572., 4406., 1841., 976., 601., 3578.])\n", + "{'redshifts/bias_abs': 0.07523135095834732, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.08932076394557953, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.039738819003105164, 'redshifts/bias_abs_bin_5': 0.023685313761234283, 'redshifts/bias': 0.003794772317633033, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.009466680698096752, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.008334442973136902, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.3089452087879181, 'redshifts/mse_bin_0': 0.43418964743614197, 'redshifts/mse_bin_1': 0.3620726764202118, 'redshifts/mse_bin_2': 0.25900182127952576, 'redshifts/mse_bin_3': 0.21427910029888153, 'redshifts/mse_bin_4': 0.24569641053676605, 'redshifts/mse_bin_5': 0.0756218284368515, 'redshifts/nmad': 0.11158409714698792, 'redshifts/nmad_bin_0': 0.2129199355840683, 'redshifts/nmad_bin_1': 0.13417930901050568, 'redshifts/nmad_bin_2': 0.08360712230205536, 'redshifts/nmad_bin_3': 0.07074390351772308, 'redshifts/nmad_bin_4': 0.05782310292124748, 'redshifts/nmad_bin_5': 0.034958355128765106, 'redshifts/outlier_fraction': 0.32591521739959717, 'redshifts/outlier_fraction_bin_0': 0.48737066984176636, 'redshifts/outlier_fraction_bin_1': 0.3529278337955475, 'redshifts/outlier_fraction_bin_2': 0.25312331318855286, 'redshifts/outlier_fraction_bin_3': 0.19364753365516663, 'redshifts/outlier_fraction_bin_4': 0.17138102650642395, 'redshifts/outlier_fraction_bin_5': 0.09558412432670593, 'redshifts/outlier_fraction_cata': 0.08762656897306442, 'redshifts/outlier_fraction_cata_bin_0': 0.12842361629009247, 'redshifts/outlier_fraction_cata_bin_1': 0.09986381977796555, 'redshifts/outlier_fraction_cata_bin_2': 0.0722433477640152, 'redshifts/outlier_fraction_cata_bin_3': 0.05840164050459862, 'redshifts/outlier_fraction_cata_bin_4': 0.05990016460418701, 'redshifts/outlier_fraction_cata_bin_5': 0.018166573718190193}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 74%|███████▍ | 284/383 [12:59:52<4:12:46, 153.20s/it]" + " 18%|█▊ | 279/1563 [24:51<1:56:17, 5.43s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([55159.])\n", - "{'redshifts/mse': 0.28346583247184753}\n" + "total num of pts: tensor([18041.])\n", + "total num of pts: tensor([6597., 4423., 1846., 982., 606., 3587.])\n", + "{'redshifts/bias_abs': 0.07532190531492233, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.08932306617498398, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023689433932304382, 'redshifts/bias': 0.0037966659292578697, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.009329437278211117, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.3092263638973236, 'redshifts/mse_bin_0': 0.4345267117023468, 'redshifts/mse_bin_1': 0.3614887595176697, 'redshifts/mse_bin_2': 0.25888705253601074, 'redshifts/mse_bin_3': 0.21299749612808228, 'redshifts/mse_bin_4': 0.24782857298851013, 'redshifts/mse_bin_5': 0.07696280628442764, 'redshifts/nmad': 0.11162145435810089, 'redshifts/nmad_bin_0': 0.21223381161689758, 'redshifts/nmad_bin_1': 0.134325310587883, 'redshifts/nmad_bin_2': 0.0837031900882721, 'redshifts/nmad_bin_3': 0.07039893418550491, 'redshifts/nmad_bin_4': 0.058255985379219055, 'redshifts/nmad_bin_5': 0.034935303032398224, 'redshifts/outlier_fraction': 0.3258134126663208, 'redshifts/outlier_fraction_bin_0': 0.48703956604003906, 'redshifts/outlier_fraction_bin_1': 0.3529278635978699, 'redshifts/outlier_fraction_bin_2': 0.2535211145877838, 'redshifts/outlier_fraction_bin_3': 0.19246435165405273, 'redshifts/outlier_fraction_bin_4': 0.17161716520786285, 'redshifts/outlier_fraction_bin_5': 0.09562308341264725, 'redshifts/outlier_fraction_cata': 0.08768915385007858, 'redshifts/outlier_fraction_cata_bin_0': 0.12854327261447906, 'redshifts/outlier_fraction_cata_bin_1': 0.09970608353614807, 'redshifts/outlier_fraction_cata_bin_2': 0.07204767316579819, 'redshifts/outlier_fraction_cata_bin_3': 0.058044806122779846, 'redshifts/outlier_fraction_cata_bin_4': 0.06105610728263855, 'redshifts/outlier_fraction_cata_bin_5': 0.01839977689087391}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 74%|███████▍ | 285/383 [13:02:27<4:11:09, 153.77s/it]" + " 18%|█▊ | 280/1563 [24:56<1:54:47, 5.37s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([55338.])\n", - "{'redshifts/mse': 0.28378617763519287}\n" + "total num of pts: tensor([18106.])\n", + "total num of pts: tensor([6621., 4439., 1854., 985., 606., 3601.])\n", + "{'redshifts/bias_abs': 0.07536805421113968, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.08932306617498398, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.0038259136490523815, 'redshifts/bias_bin_0': 0.030956003814935684, 'redshifts/bias_bin_1': 0.00927495863288641, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.3094851076602936, 'redshifts/mse_bin_0': 0.43400442600250244, 'redshifts/mse_bin_1': 0.36337214708328247, 'redshifts/mse_bin_2': 0.25885701179504395, 'redshifts/mse_bin_3': 0.21241149306297302, 'redshifts/mse_bin_4': 0.24782857298851013, 'redshifts/mse_bin_5': 0.0771060436964035, 'redshifts/nmad': 0.111718088388443, 'redshifts/nmad_bin_0': 0.21226444840431213, 'redshifts/nmad_bin_1': 0.13424454629421234, 'redshifts/nmad_bin_2': 0.08384130895137787, 'redshifts/nmad_bin_3': 0.07039893418550491, 'redshifts/nmad_bin_4': 0.058255985379219055, 'redshifts/nmad_bin_5': 0.035030584782361984, 'redshifts/outlier_fraction': 0.32596927881240845, 'redshifts/outlier_fraction_bin_0': 0.4867844879627228, 'redshifts/outlier_fraction_bin_1': 0.3534579873085022, 'redshifts/outlier_fraction_bin_2': 0.254045307636261, 'redshifts/outlier_fraction_bin_3': 0.1928934007883072, 'redshifts/outlier_fraction_bin_4': 0.17161716520786285, 'redshifts/outlier_fraction_bin_5': 0.09580671787261963, 'redshifts/outlier_fraction_cata': 0.08776096254587173, 'redshifts/outlier_fraction_cata_bin_0': 0.12837940454483032, 'redshifts/outlier_fraction_cata_bin_1': 0.10002252459526062, 'redshifts/outlier_fraction_cata_bin_2': 0.07227616012096405, 'redshifts/outlier_fraction_cata_bin_3': 0.05786801874637604, 'redshifts/outlier_fraction_cata_bin_4': 0.06105610728263855, 'redshifts/outlier_fraction_cata_bin_5': 0.018605941906571388}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 75%|███████▍ | 286/383 [13:04:55<4:05:43, 151.99s/it]" + " 18%|█▊ | 281/1563 [25:02<1:58:32, 5.55s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([55527.])\n", - "{'redshifts/mse': 0.2842683792114258}\n" + "total num of pts: tensor([18166.])\n", + "total num of pts: tensor([6648., 4445., 1860., 991., 607., 3615.])\n", + "{'redshifts/bias_abs': 0.07537379860877991, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.08924205601215363, 'redshifts/bias_abs_bin_2': 0.05751139298081398, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023689433932304382, 'redshifts/bias': 0.003819367615506053, 'redshifts/bias_bin_0': 0.030850563198328018, 'redshifts/bias_bin_1': 0.00927495863288641, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0012639437336474657, 'redshifts/mse': 0.3095613121986389, 'redshifts/mse_bin_0': 0.4344812333583832, 'redshifts/mse_bin_1': 0.36303648352622986, 'redshifts/mse_bin_2': 0.2587504982948303, 'redshifts/mse_bin_3': 0.21393223106861115, 'redshifts/mse_bin_4': 0.24742284417152405, 'redshifts/mse_bin_5': 0.07687359303236008, 'redshifts/nmad': 0.11172720789909363, 'redshifts/nmad_bin_0': 0.21226005256175995, 'redshifts/nmad_bin_1': 0.1341855525970459, 'redshifts/nmad_bin_2': 0.08424079418182373, 'redshifts/nmad_bin_3': 0.07047039270401001, 'redshifts/nmad_bin_4': 0.058033064007759094, 'redshifts/nmad_bin_5': 0.03496244549751282, 'redshifts/outlier_fraction': 0.3259936273097992, 'redshifts/outlier_fraction_bin_0': 0.4867629408836365, 'redshifts/outlier_fraction_bin_1': 0.3532058596611023, 'redshifts/outlier_fraction_bin_2': 0.2543010711669922, 'redshifts/outlier_fraction_bin_3': 0.19374369084835052, 'redshifts/outlier_fraction_bin_4': 0.1713344305753708, 'redshifts/outlier_fraction_bin_5': 0.0959889367222786, 'redshifts/outlier_fraction_cata': 0.08780138939619064, 'redshifts/outlier_fraction_cata_bin_0': 0.12845969200134277, 'redshifts/outlier_fraction_cata_bin_1': 0.09988751262426376, 'redshifts/outlier_fraction_cata_bin_2': 0.07258064299821854, 'redshifts/outlier_fraction_cata_bin_3': 0.05852673947811127, 'redshifts/outlier_fraction_cata_bin_4': 0.06095552071928978, 'redshifts/outlier_fraction_cata_bin_5': 0.018533887341618538}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 75%|███████▍ | 287/383 [13:07:27<4:03:22, 152.11s/it]" + " 18%|█▊ | 282/1563 [25:07<1:55:15, 5.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([55736.])\n", - "{'redshifts/mse': 0.2846372425556183}\n" + "total num of pts: tensor([18235.])\n", + "total num of pts: tensor([6679., 4457., 1865., 996., 610., 3628.])\n", + "{'redshifts/bias_abs': 0.07542740553617477, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.08932306617498398, 'redshifts/bias_abs_bin_2': 0.05751139298081398, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023689433932304382, 'redshifts/bias': 0.0038981123361736536, 'redshifts/bias_bin_0': 0.031080545857548714, 'redshifts/bias_bin_1': 0.00927495863288641, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.00829822476953268, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30916672945022583, 'redshifts/mse_bin_0': 0.43354958295822144, 'redshifts/mse_bin_1': 0.3631643056869507, 'redshifts/mse_bin_2': 0.25860321521759033, 'redshifts/mse_bin_3': 0.21294665336608887, 'redshifts/mse_bin_4': 0.24633818864822388, 'redshifts/mse_bin_5': 0.07681967318058014, 'redshifts/nmad': 0.11173875629901886, 'redshifts/nmad_bin_0': 0.21234354376792908, 'redshifts/nmad_bin_1': 0.13424454629421234, 'redshifts/nmad_bin_2': 0.08387785404920578, 'redshifts/nmad_bin_3': 0.07010497152805328, 'redshifts/nmad_bin_4': 0.058033064007759094, 'redshifts/nmad_bin_5': 0.03497025743126869, 'redshifts/outlier_fraction': 0.32624074816703796, 'redshifts/outlier_fraction_bin_0': 0.4867495000362396, 'redshifts/outlier_fraction_bin_1': 0.3538254499435425, 'redshifts/outlier_fraction_bin_2': 0.2546916902065277, 'redshifts/outlier_fraction_bin_3': 0.1927710771560669, 'redshifts/outlier_fraction_bin_4': 0.17213115096092224, 'redshifts/outlier_fraction_bin_5': 0.096196249127388, 'redshifts/outlier_fraction_cata': 0.08763366937637329, 'redshifts/outlier_fraction_cata_bin_0': 0.12801317870616913, 'redshifts/outlier_fraction_cata_bin_1': 0.10006731003522873, 'redshifts/outlier_fraction_cata_bin_2': 0.07238605618476868, 'redshifts/outlier_fraction_cata_bin_3': 0.05823293328285217, 'redshifts/outlier_fraction_cata_bin_4': 0.06065573915839195, 'redshifts/outlier_fraction_cata_bin_5': 0.018467474728822708}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 75%|███████▌ | 288/383 [13:09:59<4:00:50, 152.11s/it]" + " 18%|█▊ | 283/1563 [25:12<1:52:58, 5.30s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([55913.])\n", - "{'redshifts/mse': 0.28499463200569153}\n" + "total num of pts: tensor([18295.])\n", + "total num of pts: tensor([6701., 4479., 1870., 1000., 610., 3635.])\n", + "{'redshifts/bias_abs': 0.0755055770277977, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.08932076394557953, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.0039031223859637976, 'redshifts/bias_bin_0': 0.031130431219935417, 'redshifts/bias_bin_1': 0.009152697399258614, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.007581871934235096, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.3096298277378082, 'redshifts/mse_bin_0': 0.43329936265945435, 'redshifts/mse_bin_1': 0.3655302822589874, 'redshifts/mse_bin_2': 0.25796329975128174, 'redshifts/mse_bin_3': 0.21247489750385284, 'redshifts/mse_bin_4': 0.24633818864822388, 'redshifts/mse_bin_5': 0.07669856399297714, 'redshifts/nmad': 0.11185137927532196, 'redshifts/nmad_bin_0': 0.21241748332977295, 'redshifts/nmad_bin_1': 0.13406327366828918, 'redshifts/nmad_bin_2': 0.08399078994989395, 'redshifts/nmad_bin_3': 0.07024602591991425, 'redshifts/nmad_bin_4': 0.058033064007759094, 'redshifts/nmad_bin_5': 0.035035353153944016, 'redshifts/outlier_fraction': 0.32626399397850037, 'redshifts/outlier_fraction_bin_0': 0.48694226145744324, 'redshifts/outlier_fraction_bin_1': 0.35342711210250854, 'redshifts/outlier_fraction_bin_2': 0.25401070713996887, 'redshifts/outlier_fraction_bin_3': 0.19300000369548798, 'redshifts/outlier_fraction_bin_4': 0.17213115096092224, 'redshifts/outlier_fraction_bin_5': 0.0962861105799675, 'redshifts/outlier_fraction_cata': 0.08772888779640198, 'redshifts/outlier_fraction_cata_bin_0': 0.1280405968427658, 'redshifts/outlier_fraction_cata_bin_1': 0.10046885162591934, 'redshifts/outlier_fraction_cata_bin_2': 0.07219251245260239, 'redshifts/outlier_fraction_cata_bin_3': 0.057999998331069946, 'redshifts/outlier_fraction_cata_bin_4': 0.06065573915839195, 'redshifts/outlier_fraction_cata_bin_5': 0.01843191124498844}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 75%|███████▌ | 289/383 [13:12:33<3:58:53, 152.48s/it]" + " 18%|█▊ | 284/1563 [25:16<1:42:09, 4.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([56134.])\n", - "{'redshifts/mse': 0.28450945019721985}\n" + "total num of pts: tensor([18368.])\n", + "total num of pts: tensor([6738., 4494., 1877., 1003., 613., 3643.])\n", + "{'redshifts/bias_abs': 0.07557042688131332, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.08932306617498398, 'redshifts/bias_abs_bin_2': 0.05751139298081398, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.003994405269622803, 'redshifts/bias_bin_0': 0.031147446483373642, 'redshifts/bias_bin_1': 0.00918559543788433, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.30978715419769287, 'redshifts/mse_bin_0': 0.4328518807888031, 'redshifts/mse_bin_1': 0.3663351535797119, 'redshifts/mse_bin_2': 0.2580444812774658, 'redshifts/mse_bin_3': 0.21244388818740845, 'redshifts/mse_bin_4': 0.24518001079559326, 'redshifts/mse_bin_5': 0.07674489915370941, 'redshifts/nmad': 0.11201736330986023, 'redshifts/nmad_bin_0': 0.2123989760875702, 'redshifts/nmad_bin_1': 0.13415409624576569, 'redshifts/nmad_bin_2': 0.08387785404920578, 'redshifts/nmad_bin_3': 0.07034960389137268, 'redshifts/nmad_bin_4': 0.058098070323467255, 'redshifts/nmad_bin_5': 0.0349908284842968, 'redshifts/outlier_fraction': 0.3266550600528717, 'redshifts/outlier_fraction_bin_0': 0.48693975806236267, 'redshifts/outlier_fraction_bin_1': 0.35358256101608276, 'redshifts/outlier_fraction_bin_2': 0.25519445538520813, 'redshifts/outlier_fraction_bin_3': 0.19341973960399628, 'redshifts/outlier_fraction_bin_4': 0.17128874361515045, 'redshifts/outlier_fraction_bin_5': 0.09662365913391113, 'redshifts/outlier_fraction_cata': 0.08776132762432098, 'redshifts/outlier_fraction_cata_bin_0': 0.1279311329126358, 'redshifts/outlier_fraction_cata_bin_1': 0.10057854652404785, 'redshifts/outlier_fraction_cata_bin_2': 0.07245604693889618, 'redshifts/outlier_fraction_cata_bin_3': 0.05782651901245117, 'redshifts/outlier_fraction_cata_bin_4': 0.060358889400959015, 'redshifts/outlier_fraction_cata_bin_5': 0.018391435965895653}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 76%|███████▌ | 290/383 [13:15:10<3:58:38, 153.96s/it]" + " 18%|█▊ | 285/1563 [25:20<1:37:52, 4.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([56342.])\n", - "{'redshifts/mse': 0.2847840189933777}\n" + "total num of pts: tensor([18441.])\n", + "total num of pts: tensor([6769., 4507., 1880., 1009., 615., 3661.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14391006529331207, 'redshifts/bias_abs_bin_1': 0.08954373002052307, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023689433932304382, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.03170373663306236, 'redshifts/bias_bin_1': 0.009152697399258614, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.3097626268863678, 'redshifts/mse_bin_0': 0.4320756793022156, 'redshifts/mse_bin_1': 0.3661622703075409, 'redshifts/mse_bin_2': 0.2611437737941742, 'redshifts/mse_bin_3': 0.21344907581806183, 'redshifts/mse_bin_4': 0.24448388814926147, 'redshifts/mse_bin_5': 0.07665818184614182, 'redshifts/nmad': 0.11230349540710449, 'redshifts/nmad_bin_0': 0.2123703956604004, 'redshifts/nmad_bin_1': 0.1343240886926651, 'redshifts/nmad_bin_2': 0.0839235931634903, 'redshifts/nmad_bin_3': 0.070039764046669, 'redshifts/nmad_bin_4': 0.058098070323467255, 'redshifts/nmad_bin_5': 0.03496157005429268, 'redshifts/outlier_fraction': 0.32671764492988586, 'redshifts/outlier_fraction_bin_0': 0.48663023114204407, 'redshifts/outlier_fraction_bin_1': 0.3538939356803894, 'redshifts/outlier_fraction_bin_2': 0.2563829720020294, 'redshifts/outlier_fraction_bin_3': 0.19425173103809357, 'redshifts/outlier_fraction_bin_4': 0.17073170840740204, 'redshifts/outlier_fraction_bin_5': 0.0964217409491539, 'redshifts/outlier_fraction_cata': 0.08773927390575409, 'redshifts/outlier_fraction_cata_bin_0': 0.1276407092809677, 'redshifts/outlier_fraction_cata_bin_1': 0.10073219239711761, 'redshifts/outlier_fraction_cata_bin_2': 0.0728723406791687, 'redshifts/outlier_fraction_cata_bin_3': 0.05847373604774475, 'redshifts/outlier_fraction_cata_bin_4': 0.06016260012984276, 'redshifts/outlier_fraction_cata_bin_5': 0.018301010131835938}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 76%|███████▌ | 291/383 [13:17:47<3:57:19, 154.78s/it]" + " 18%|█▊ | 286/1563 [25:27<1:54:47, 5.39s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([56549.])\n", - "{'redshifts/mse': 0.28462928533554077}\n" + "total num of pts: tensor([18510.])\n", + "total num of pts: tensor([6798., 4527., 1888., 1011., 616., 3670.])\n", + "{'redshifts/bias_abs': 0.07582245022058487, 'redshifts/bias_abs_bin_0': 0.14378492534160614, 'redshifts/bias_abs_bin_1': 0.08957736194133759, 'redshifts/bias_abs_bin_2': 0.05751139298081398, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.003994792699813843, 'redshifts/bias_bin_0': 0.03172580897808075, 'redshifts/bias_bin_1': 0.008933869190514088, 'redshifts/bias_bin_2': -0.0031656830105930567, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.31005042791366577, 'redshifts/mse_bin_0': 0.43258967995643616, 'redshifts/mse_bin_1': 0.3657646179199219, 'redshifts/mse_bin_2': 0.26264718174934387, 'redshifts/mse_bin_3': 0.21303613483905792, 'redshifts/mse_bin_4': 0.2442149668931961, 'redshifts/mse_bin_5': 0.07650753855705261, 'redshifts/nmad': 0.11239084601402283, 'redshifts/nmad_bin_0': 0.21219848096370697, 'redshifts/nmad_bin_1': 0.13461068272590637, 'redshifts/nmad_bin_2': 0.08376172930002213, 'redshifts/nmad_bin_3': 0.07050152868032455, 'redshifts/nmad_bin_4': 0.05814624950289726, 'redshifts/nmad_bin_5': 0.035049762576818466, 'redshifts/outlier_fraction': 0.3267963230609894, 'redshifts/outlier_fraction_bin_0': 0.4864666163921356, 'redshifts/outlier_fraction_bin_1': 0.3545394241809845, 'redshifts/outlier_fraction_bin_2': 0.25582626461982727, 'redshifts/outlier_fraction_bin_3': 0.19386745989322662, 'redshifts/outlier_fraction_bin_4': 0.17045454680919647, 'redshifts/outlier_fraction_bin_5': 0.09618528932332993, 'redshifts/outlier_fraction_cata': 0.08779038488864899, 'redshifts/outlier_fraction_cata_bin_0': 0.1276846081018448, 'redshifts/outlier_fraction_cata_bin_1': 0.10072895884513855, 'redshifts/outlier_fraction_cata_bin_2': 0.0730932205915451, 'redshifts/outlier_fraction_cata_bin_3': 0.05835806205868721, 'redshifts/outlier_fraction_cata_bin_4': 0.06006493419408798, 'redshifts/outlier_fraction_cata_bin_5': 0.018256131559610367}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 76%|███████▌ | 292/383 [13:20:24<3:55:52, 155.52s/it]" + " 18%|█▊ | 287/1563 [25:32<1:54:33, 5.39s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([56756.])\n", - "{'redshifts/mse': 0.284385621547699}\n" + "total num of pts: tensor([18569.])\n", + "total num of pts: tensor([6819., 4542., 1895., 1014., 617., 3682.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.14391006529331207, 'redshifts/bias_abs_bin_1': 0.08954451233148575, 'redshifts/bias_abs_bin_2': 0.05751139298081398, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.004054218530654907, 'redshifts/bias_bin_0': 0.03180370852351189, 'redshifts/bias_bin_1': 0.008975479751825333, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0012639437336474657, 'redshifts/mse': 0.3099536895751953, 'redshifts/mse_bin_0': 0.43262922763824463, 'redshifts/mse_bin_1': 0.3653612434864044, 'redshifts/mse_bin_2': 0.2621991038322449, 'redshifts/mse_bin_3': 0.21439333260059357, 'redshifts/mse_bin_4': 0.24384835362434387, 'redshifts/mse_bin_5': 0.07638434320688248, 'redshifts/nmad': 0.11245100200176239, 'redshifts/nmad_bin_0': 0.2124631106853485, 'redshifts/nmad_bin_1': 0.13421858847141266, 'redshifts/nmad_bin_2': 0.08347304910421371, 'redshifts/nmad_bin_3': 0.07068636268377304, 'redshifts/nmad_bin_4': 0.05831919237971306, 'redshifts/nmad_bin_5': 0.03507690876722336, 'redshifts/outlier_fraction': 0.3269427418708801, 'redshifts/outlier_fraction_bin_0': 0.4867282509803772, 'redshifts/outlier_fraction_bin_1': 0.3544693887233734, 'redshifts/outlier_fraction_bin_2': 0.2559366822242737, 'redshifts/outlier_fraction_bin_3': 0.19526627659797668, 'redshifts/outlier_fraction_bin_4': 0.17017827928066254, 'redshifts/outlier_fraction_bin_5': 0.09614340215921402, 'redshifts/outlier_fraction_cata': 0.08778070658445358, 'redshifts/outlier_fraction_cata_bin_0': 0.1277313381433487, 'redshifts/outlier_fraction_cata_bin_1': 0.1006164699792862, 'redshifts/outlier_fraction_cata_bin_2': 0.07282321900129318, 'redshifts/outlier_fraction_cata_bin_3': 0.05917159840464592, 'redshifts/outlier_fraction_cata_bin_4': 0.059967584908008575, 'redshifts/outlier_fraction_cata_bin_5': 0.018196633085608482}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 77%|███████▋ | 293/383 [13:22:59<3:52:56, 155.29s/it]" + " 18%|█▊ | 288/1563 [25:38<1:56:28, 5.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([56964.])\n", - "{'redshifts/mse': 0.28450947999954224}\n" + "total num of pts: tensor([18642.])\n", + "total num of pts: tensor([6844., 4561., 1904., 1019., 618., 3696.])\n", + "{'redshifts/bias_abs': 0.07594108581542969, 'redshifts/bias_abs_bin_0': 0.1439315229654312, 'redshifts/bias_abs_bin_1': 0.08959982544183731, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.023689433932304382, 'redshifts/bias': 0.003994405269622803, 'redshifts/bias_bin_0': 0.03164943307638168, 'redshifts/bias_bin_1': 0.009022741578519344, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.3102864623069763, 'redshifts/mse_bin_0': 0.43344971537590027, 'redshifts/mse_bin_1': 0.36594629287719727, 'redshifts/mse_bin_2': 0.26131200790405273, 'redshifts/mse_bin_3': 0.2134377360343933, 'redshifts/mse_bin_4': 0.24345412850379944, 'redshifts/mse_bin_5': 0.0766415223479271, 'redshifts/nmad': 0.11251094192266464, 'redshifts/nmad_bin_0': 0.21228988468647003, 'redshifts/nmad_bin_1': 0.13471411168575287, 'redshifts/nmad_bin_2': 0.08353152126073837, 'redshifts/nmad_bin_3': 0.0703522115945816, 'redshifts/nmad_bin_4': 0.05814624950289726, 'redshifts/nmad_bin_5': 0.03503450006246567, 'redshifts/outlier_fraction': 0.3272717595100403, 'redshifts/outlier_fraction_bin_0': 0.4869959056377411, 'redshifts/outlier_fraction_bin_1': 0.35518527030944824, 'redshifts/outlier_fraction_bin_2': 0.25630253553390503, 'redshifts/outlier_fraction_bin_3': 0.1952894926071167, 'redshifts/outlier_fraction_bin_4': 0.16990290582180023, 'redshifts/outlier_fraction_bin_5': 0.09632034599781036, 'redshifts/outlier_fraction_cata': 0.08791974931955338, 'redshifts/outlier_fraction_cata_bin_0': 0.12784920632839203, 'redshifts/outlier_fraction_cata_bin_1': 0.10107432305812836, 'redshifts/outlier_fraction_cata_bin_2': 0.0724789947271347, 'redshifts/outlier_fraction_cata_bin_3': 0.058881256729364395, 'redshifts/outlier_fraction_cata_bin_4': 0.05987054854631424, 'redshifts/outlier_fraction_cata_bin_5': 0.018398268148303032}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 77%|███████▋ | 294/383 [13:25:34<3:50:07, 155.14s/it]" + " 18%|█▊ | 289/1563 [25:43<1:52:05, 5.28s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([57138.])\n", - "{'redshifts/mse': 0.28455835580825806}\n" + "total num of pts: tensor([18697.])\n", + "total num of pts: tensor([6858., 4577., 1907., 1023., 622., 3710.])\n", + "{'redshifts/bias_abs': 0.07594108581542969, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.08978859335184097, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.003994792699813843, 'redshifts/bias_bin_0': 0.03170406073331833, 'redshifts/bias_bin_1': 0.008933869190514088, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012639437336474657, 'redshifts/mse': 0.31081128120422363, 'redshifts/mse_bin_0': 0.43483516573905945, 'redshifts/mse_bin_1': 0.36558040976524353, 'redshifts/mse_bin_2': 0.264376699924469, 'redshifts/mse_bin_3': 0.2129647582769394, 'redshifts/mse_bin_4': 0.2420230358839035, 'redshifts/mse_bin_5': 0.07636473327875137, 'redshifts/nmad': 0.11251036822795868, 'redshifts/nmad_bin_0': 0.2123153805732727, 'redshifts/nmad_bin_1': 0.13470888137817383, 'redshifts/nmad_bin_2': 0.08366516977548599, 'redshifts/nmad_bin_3': 0.07058496028184891, 'redshifts/nmad_bin_4': 0.05827101320028305, 'redshifts/nmad_bin_5': 0.03493576496839523, 'redshifts/outlier_fraction': 0.3273252248764038, 'redshifts/outlier_fraction_bin_0': 0.4873140752315521, 'redshifts/outlier_fraction_bin_1': 0.35547301173210144, 'redshifts/outlier_fraction_bin_2': 0.2569480836391449, 'redshifts/outlier_fraction_bin_3': 0.19550342857837677, 'redshifts/outlier_fraction_bin_4': 0.16881029307842255, 'redshifts/outlier_fraction_bin_5': 0.09595687687397003, 'redshifts/outlier_fraction_cata': 0.08803551644086838, 'redshifts/outlier_fraction_cata_bin_0': 0.12817147374153137, 'redshifts/outlier_fraction_cata_bin_1': 0.10093948245048523, 'redshifts/outlier_fraction_cata_bin_2': 0.07341373711824417, 'redshifts/outlier_fraction_cata_bin_3': 0.05865102633833885, 'redshifts/outlier_fraction_cata_bin_4': 0.059485532343387604, 'redshifts/outlier_fraction_cata_bin_5': 0.018328841775655746}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 77%|███████▋ | 295/383 [13:28:10<3:48:02, 155.48s/it]" + " 19%|█▊ | 290/1563 [25:49<1:57:04, 5.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([57341.])\n", - "{'redshifts/mse': 0.28449830412864685}\n" + "total num of pts: tensor([18751.])\n", + "total num of pts: tensor([6880., 4586., 1916., 1027., 622., 3720.])\n", + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004056193865835667, 'redshifts/bias_bin_0': 0.03198041394352913, 'redshifts/bias_bin_1': 0.008853794075548649, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.3107142746448517, 'redshifts/mse_bin_0': 0.4345494210720062, 'redshifts/mse_bin_1': 0.36630529165267944, 'redshifts/mse_bin_2': 0.2633727490901947, 'redshifts/mse_bin_3': 0.21219269931316376, 'redshifts/mse_bin_4': 0.2420230358839035, 'redshifts/mse_bin_5': 0.07622294872999191, 'redshifts/nmad': 0.11246100068092346, 'redshifts/nmad_bin_0': 0.2126530110836029, 'redshifts/nmad_bin_1': 0.13469460606575012, 'redshifts/nmad_bin_2': 0.08345440775156021, 'redshifts/nmad_bin_3': 0.07050152868032455, 'redshifts/nmad_bin_4': 0.05827101320028305, 'redshifts/nmad_bin_5': 0.03496303781867027, 'redshifts/outlier_fraction': 0.3275025188922882, 'redshifts/outlier_fraction_bin_0': 0.48764535784721375, 'redshifts/outlier_fraction_bin_1': 0.3558656871318817, 'redshifts/outlier_fraction_bin_2': 0.25626304745674133, 'redshifts/outlier_fraction_bin_3': 0.19474196434020996, 'redshifts/outlier_fraction_bin_4': 0.16881029307842255, 'redshifts/outlier_fraction_bin_5': 0.09623655676841736, 'redshifts/outlier_fraction_cata': 0.08799530565738678, 'redshifts/outlier_fraction_cata_bin_0': 0.12805232405662537, 'redshifts/outlier_fraction_cata_bin_1': 0.10117749869823456, 'redshifts/outlier_fraction_cata_bin_2': 0.07306889444589615, 'redshifts/outlier_fraction_cata_bin_3': 0.05842259153723717, 'redshifts/outlier_fraction_cata_bin_4': 0.059485532343387604, 'redshifts/outlier_fraction_cata_bin_5': 0.01827956922352314}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 77%|███████▋ | 296/383 [13:30:43<3:44:36, 154.90s/it]" + " 19%|█▊ | 291/1563 [25:56<2:05:01, 5.90s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([57522.])\n", - "{'redshifts/mse': 0.2844482958316803}\n" + "total num of pts: tensor([18811.])\n", + "total num of pts: tensor([6905., 4600., 1920., 1027., 624., 3735.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.03215901553630829, 'redshifts/bias_bin_1': 0.008975479751825333, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.31045809388160706, 'redshifts/mse_bin_0': 0.4341006875038147, 'redshifts/mse_bin_1': 0.36648449301719666, 'redshifts/mse_bin_2': 0.2628491520881653, 'redshifts/mse_bin_3': 0.21219269931316376, 'redshifts/mse_bin_4': 0.2412518411874771, 'redshifts/mse_bin_5': 0.07593172043561935, 'redshifts/nmad': 0.1124715581536293, 'redshifts/nmad_bin_0': 0.2132011353969574, 'redshifts/nmad_bin_1': 0.1349291354417801, 'redshifts/nmad_bin_2': 0.0834408700466156, 'redshifts/nmad_bin_3': 0.07050152868032455, 'redshifts/nmad_bin_4': 0.05814624950289726, 'redshifts/nmad_bin_5': 0.034900594502687454, 'redshifts/outlier_fraction': 0.3276274502277374, 'redshifts/outlier_fraction_bin_0': 0.4880521297454834, 'redshifts/outlier_fraction_bin_1': 0.35608696937561035, 'redshifts/outlier_fraction_bin_2': 0.25572916865348816, 'redshifts/outlier_fraction_bin_3': 0.19474196434020996, 'redshifts/outlier_fraction_bin_4': 0.16826923191547394, 'redshifts/outlier_fraction_bin_5': 0.09611780196428299, 'redshifts/outlier_fraction_cata': 0.08792727440595627, 'redshifts/outlier_fraction_cata_bin_0': 0.1278783529996872, 'redshifts/outlier_fraction_cata_bin_1': 0.10130434483289719, 'redshifts/outlier_fraction_cata_bin_2': 0.0729166641831398, 'redshifts/outlier_fraction_cata_bin_3': 0.05842259153723717, 'redshifts/outlier_fraction_cata_bin_4': 0.05929487198591232, 'redshifts/outlier_fraction_cata_bin_5': 0.01820615865290165}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 78%|███████▊ | 297/383 [13:33:20<3:42:34, 155.29s/it]" + " 19%|█▊ | 292/1563 [26:00<1:57:18, 5.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([57709.])\n", - "{'redshifts/mse': 0.28442391753196716}\n" + "total num of pts: tensor([18871.])\n", + "total num of pts: tensor([6935., 4609., 1925., 1032., 625., 3745.])\n", + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.08987556397914886, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.03198041394352913, 'redshifts/bias_bin_1': 0.008933869190514088, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.31034591794013977, 'redshifts/mse_bin_0': 0.4338010549545288, 'redshifts/mse_bin_1': 0.36595892906188965, 'redshifts/mse_bin_2': 0.2622341811656952, 'redshifts/mse_bin_3': 0.2152847945690155, 'redshifts/mse_bin_4': 0.2409714311361313, 'redshifts/mse_bin_5': 0.0757930800318718, 'redshifts/nmad': 0.11246540397405624, 'redshifts/nmad_bin_0': 0.21321016550064087, 'redshifts/nmad_bin_1': 0.13488516211509705, 'redshifts/nmad_bin_2': 0.08355357497930527, 'redshifts/nmad_bin_3': 0.06979083269834518, 'redshifts/nmad_bin_4': 0.05831919237971306, 'redshifts/nmad_bin_5': 0.03491348400712013, 'redshifts/outlier_fraction': 0.3277515769004822, 'redshifts/outlier_fraction_bin_0': 0.4883922040462494, 'redshifts/outlier_fraction_bin_1': 0.3560425341129303, 'redshifts/outlier_fraction_bin_2': 0.2550649344921112, 'redshifts/outlier_fraction_bin_3': 0.19476744532585144, 'redshifts/outlier_fraction_bin_4': 0.1679999977350235, 'redshifts/outlier_fraction_bin_5': 0.09612817317247391, 'redshifts/outlier_fraction_cata': 0.08785967528820038, 'redshifts/outlier_fraction_cata_bin_0': 0.12775775790214539, 'redshifts/outlier_fraction_cata_bin_1': 0.10110653191804886, 'redshifts/outlier_fraction_cata_bin_2': 0.072727270424366, 'redshifts/outlier_fraction_cata_bin_3': 0.05910852551460266, 'redshifts/outlier_fraction_cata_bin_4': 0.05920000001788139, 'redshifts/outlier_fraction_cata_bin_5': 0.01815754361450672}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 78%|███████▊ | 298/383 [13:35:54<3:39:40, 155.06s/it]" + " 19%|█▊ | 293/1563 [26:05<1:52:33, 5.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([57879.])\n", - "{'redshifts/mse': 0.2841504216194153}\n" + "total num of pts: tensor([18929.])\n", + "total num of pts: tensor([6961., 4621., 1927., 1037., 628., 3755.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004056193865835667, 'redshifts/bias_bin_0': 0.03180370852351189, 'redshifts/bias_bin_1': 0.008798843249678612, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.3100671172142029, 'redshifts/mse_bin_0': 0.4330437183380127, 'redshifts/mse_bin_1': 0.3662492632865906, 'redshifts/mse_bin_2': 0.26196572184562683, 'redshifts/mse_bin_3': 0.21459157764911652, 'redshifts/mse_bin_4': 0.24034780263900757, 'redshifts/mse_bin_5': 0.07566757500171661, 'redshifts/nmad': 0.11245205998420715, 'redshifts/nmad_bin_0': 0.2125186026096344, 'redshifts/nmad_bin_1': 0.1350361555814743, 'redshifts/nmad_bin_2': 0.0835370123386383, 'redshifts/nmad_bin_3': 0.06979083269834518, 'redshifts/nmad_bin_4': 0.05827101320028305, 'redshifts/nmad_bin_5': 0.03491348400712013, 'redshifts/outlier_fraction': 0.3275925815105438, 'redshifts/outlier_fraction_bin_0': 0.48771727085113525, 'redshifts/outlier_fraction_bin_1': 0.35598355531692505, 'redshifts/outlier_fraction_bin_2': 0.2548002004623413, 'redshifts/outlier_fraction_bin_3': 0.19479267299175262, 'redshifts/outlier_fraction_bin_4': 0.168789803981781, 'redshifts/outlier_fraction_bin_5': 0.0964047908782959, 'redshifts/outlier_fraction_cata': 0.0876961275935173, 'redshifts/outlier_fraction_cata_bin_0': 0.1274242252111435, 'redshifts/outlier_fraction_cata_bin_1': 0.10106037557125092, 'redshifts/outlier_fraction_cata_bin_2': 0.07265178859233856, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.058917198330163956, 'redshifts/outlier_fraction_cata_bin_5': 0.018109187483787537}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 78%|███████▊ | 299/383 [13:38:29<3:36:55, 154.95s/it]" + " 19%|█▉ | 294/1563 [26:09<1:45:35, 4.99s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([58068.])\n", - "{'redshifts/mse': 0.28393590450286865}\n" + "total num of pts: tensor([19000.])\n", + "total num of pts: tensor([6990., 4634., 1934., 1039., 632., 3771.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05721795931458473, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.03198041394352913, 'redshifts/bias_bin_1': 0.008975479751825333, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.30980655550956726, 'redshifts/mse_bin_0': 0.43248724937438965, 'redshifts/mse_bin_1': 0.3665117025375366, 'redshifts/mse_bin_2': 0.26210200786590576, 'redshifts/mse_bin_3': 0.21418915688991547, 'redshifts/mse_bin_4': 0.23918530344963074, 'redshifts/mse_bin_5': 0.07536892592906952, 'redshifts/nmad': 0.11260568350553513, 'redshifts/nmad_bin_0': 0.21272510290145874, 'redshifts/nmad_bin_1': 0.1351875215768814, 'redshifts/nmad_bin_2': 0.0835370123386383, 'redshifts/nmad_bin_3': 0.06911876052618027, 'redshifts/nmad_bin_4': 0.05915050953626633, 'redshifts/nmad_bin_5': 0.03491348400712013, 'redshifts/outlier_fraction': 0.3277894854545593, 'redshifts/outlier_fraction_bin_0': 0.4878397583961487, 'redshifts/outlier_fraction_bin_1': 0.3562796711921692, 'redshifts/outlier_fraction_bin_2': 0.25594621896743774, 'redshifts/outlier_fraction_bin_3': 0.19441771507263184, 'redshifts/outlier_fraction_bin_4': 0.1708860695362091, 'redshifts/outlier_fraction_bin_5': 0.09599575400352478, 'redshifts/outlier_fraction_cata': 0.08763157576322556, 'redshifts/outlier_fraction_cata_bin_0': 0.12718169391155243, 'redshifts/outlier_fraction_cata_bin_1': 0.10120845586061478, 'redshifts/outlier_fraction_cata_bin_2': 0.07290589809417725, 'redshifts/outlier_fraction_cata_bin_3': 0.05871029943227768, 'redshifts/outlier_fraction_cata_bin_4': 0.058544304221868515, 'redshifts/outlier_fraction_cata_bin_5': 0.01803235150873661}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 78%|███████▊ | 300/383 [13:41:00<3:32:54, 153.91s/it]" + " 19%|█▉ | 295/1563 [26:15<1:47:43, 5.10s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([58245.])\n", - "{'redshifts/mse': 0.28361976146698}\n" + "total num of pts: tensor([19067.])\n", + "total num of pts: tensor([7014., 4655., 1938., 1043., 635., 3782.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05711929872632027, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.03215901553630829, 'redshifts/bias_bin_1': 0.009000292047858238, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.3094629943370819, 'redshifts/mse_bin_0': 0.43223708868026733, 'redshifts/mse_bin_1': 0.36602726578712463, 'redshifts/mse_bin_2': 0.2615692615509033, 'redshifts/mse_bin_3': 0.2133849561214447, 'redshifts/mse_bin_4': 0.23810790479183197, 'redshifts/mse_bin_5': 0.07516875863075256, 'redshifts/nmad': 0.11252985894680023, 'redshifts/nmad_bin_0': 0.21308349072933197, 'redshifts/nmad_bin_1': 0.13519875705242157, 'redshifts/nmad_bin_2': 0.08337754011154175, 'redshifts/nmad_bin_3': 0.06941217184066772, 'redshifts/nmad_bin_4': 0.05961659550666809, 'redshifts/nmad_bin_5': 0.034875255078077316, 'redshifts/outlier_fraction': 0.32773903012275696, 'redshifts/outlier_fraction_bin_0': 0.4881665110588074, 'redshifts/outlier_fraction_bin_1': 0.3561761677265167, 'redshifts/outlier_fraction_bin_2': 0.25541794300079346, 'redshifts/outlier_fraction_bin_3': 0.19367210566997528, 'redshifts/outlier_fraction_bin_4': 0.17007873952388763, 'redshifts/outlier_fraction_bin_5': 0.09571655094623566, 'redshifts/outlier_fraction_cata': 0.08758588135242462, 'redshifts/outlier_fraction_cata_bin_0': 0.12703165411949158, 'redshifts/outlier_fraction_cata_bin_1': 0.101396344602108, 'redshifts/outlier_fraction_cata_bin_2': 0.07275541871786118, 'redshifts/outlier_fraction_cata_bin_3': 0.05848513916134834, 'redshifts/outlier_fraction_cata_bin_4': 0.05826771631836891, 'redshifts/outlier_fraction_cata_bin_5': 0.017979905009269714}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 79%|███████▊ | 301/383 [13:43:31<3:28:50, 152.81s/it]" + " 19%|█▉ | 296/1563 [26:20<1:51:28, 5.28s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([58444.])\n", - "{'redshifts/mse': 0.28359752893447876}\n" + "total num of pts: tensor([19136.])\n", + "total num of pts: tensor([7039., 4671., 1951., 1044., 637., 3794.])\n", + "{'redshifts/bias_abs': 0.07602231949567795, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004056193865835667, 'redshifts/bias_bin_0': 0.03215901553630829, 'redshifts/bias_bin_1': 0.009000292047858238, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.3095344007015228, 'redshifts/mse_bin_0': 0.4328263998031616, 'redshifts/mse_bin_1': 0.36582115292549133, 'redshifts/mse_bin_2': 0.26118752360343933, 'redshifts/mse_bin_3': 0.21318215131759644, 'redshifts/mse_bin_4': 0.23741190135478973, 'redshifts/mse_bin_5': 0.07497917860746384, 'redshifts/nmad': 0.11265437304973602, 'redshifts/nmad_bin_0': 0.21340741217136383, 'redshifts/nmad_bin_1': 0.1353348195552826, 'redshifts/nmad_bin_2': 0.08365747332572937, 'redshifts/nmad_bin_3': 0.06912089139223099, 'redshifts/nmad_bin_4': 0.05961659550666809, 'redshifts/nmad_bin_5': 0.03487133979797363, 'redshifts/outlier_fraction': 0.32802048325538635, 'redshifts/outlier_fraction_bin_0': 0.4887057840824127, 'redshifts/outlier_fraction_bin_1': 0.3566688001155853, 'redshifts/outlier_fraction_bin_2': 0.25525370240211487, 'redshifts/outlier_fraction_bin_3': 0.19348658621311188, 'redshifts/outlier_fraction_bin_4': 0.17111459374427795, 'redshifts/outlier_fraction_bin_5': 0.09541381150484085, 'redshifts/outlier_fraction_cata': 0.08784490078687668, 'redshifts/outlier_fraction_cata_bin_0': 0.1277170032262802, 'redshifts/outlier_fraction_cata_bin_1': 0.10147719830274582, 'redshifts/outlier_fraction_cata_bin_2': 0.07278318703174591, 'redshifts/outlier_fraction_cata_bin_3': 0.05842911824584007, 'redshifts/outlier_fraction_cata_bin_4': 0.058084771037101746, 'redshifts/outlier_fraction_cata_bin_5': 0.017923036590218544}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 79%|███████▉ | 302/383 [13:46:04<3:26:36, 153.04s/it]" + " 19%|█▉ | 297/1563 [26:26<1:53:01, 5.36s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([58622.])\n", - "{'redshifts/mse': 0.2835890054702759}\n" + "total num of pts: tensor([19216.])\n", + "total num of pts: tensor([7068., 4691., 1957., 1051., 639., 3810.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05751139298081398, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.040538057684898376, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.003994792699813843, 'redshifts/bias_bin_0': 0.03180370852351189, 'redshifts/bias_bin_1': 0.008933869190514088, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.3100891411304474, 'redshifts/mse_bin_0': 0.4331221878528595, 'redshifts/mse_bin_1': 0.36611267924308777, 'redshifts/mse_bin_2': 0.2604839503765106, 'redshifts/mse_bin_3': 0.21752555668354034, 'redshifts/mse_bin_4': 0.24508753418922424, 'redshifts/mse_bin_5': 0.07478734850883484, 'redshifts/nmad': 0.11258881539106369, 'redshifts/nmad_bin_0': 0.21270661056041718, 'redshifts/nmad_bin_1': 0.13499081134796143, 'redshifts/nmad_bin_2': 0.08359301090240479, 'redshifts/nmad_bin_3': 0.0691729411482811, 'redshifts/nmad_bin_4': 0.05975700914859772, 'redshifts/nmad_bin_5': 0.03499108552932739, 'redshifts/outlier_fraction': 0.3277477025985718, 'redshifts/outlier_fraction_bin_0': 0.48825693130493164, 'redshifts/outlier_fraction_bin_1': 0.3560008406639099, 'redshifts/outlier_fraction_bin_2': 0.2544711232185364, 'redshifts/outlier_fraction_bin_3': 0.19410085678100586, 'redshifts/outlier_fraction_bin_4': 0.17370891571044922, 'redshifts/outlier_fraction_bin_5': 0.09553805738687515, 'redshifts/outlier_fraction_cata': 0.08805162459611893, 'redshifts/outlier_fraction_cata_bin_0': 0.1279003918170929, 'redshifts/outlier_fraction_cata_bin_1': 0.1016840785741806, 'redshifts/outlier_fraction_cata_bin_2': 0.07256004214286804, 'redshifts/outlier_fraction_cata_bin_3': 0.058991435915231705, 'redshifts/outlier_fraction_cata_bin_4': 0.061032865196466446, 'redshifts/outlier_fraction_cata_bin_5': 0.01784776896238327}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 79%|███████▉ | 303/383 [13:48:36<3:23:34, 152.68s/it]" + " 19%|█▉ | 298/1563 [26:30<1:41:35, 4.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([58818.])\n", - "{'redshifts/mse': 0.28362131118774414}\n" + "total num of pts: tensor([19276.])\n", + "total num of pts: tensor([7092., 4707., 1960., 1055., 639., 3823.])\n", + "{'redshifts/bias_abs': 0.07612184435129166, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.05751139298081398, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.040538057684898376, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004050176125019789, 'redshifts/bias_bin_0': 0.03198041394352913, 'redshifts/bias_bin_1': 0.009000292047858238, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0013012588024139404, 'redshifts/mse': 0.3107368052005768, 'redshifts/mse_bin_0': 0.43423333764076233, 'redshifts/mse_bin_1': 0.3669220805168152, 'redshifts/mse_bin_2': 0.2601173520088196, 'redshifts/mse_bin_3': 0.21685881912708282, 'redshifts/mse_bin_4': 0.24508753418922424, 'redshifts/mse_bin_5': 0.07529610395431519, 'redshifts/nmad': 0.11284052580595016, 'redshifts/nmad_bin_0': 0.2136014848947525, 'redshifts/nmad_bin_1': 0.13538098335266113, 'redshifts/nmad_bin_2': 0.08347304910421371, 'redshifts/nmad_bin_3': 0.0686277449131012, 'redshifts/nmad_bin_4': 0.05975700914859772, 'redshifts/nmad_bin_5': 0.03499108552932739, 'redshifts/outlier_fraction': 0.3279726207256317, 'redshifts/outlier_fraction_bin_0': 0.4885786771774292, 'redshifts/outlier_fraction_bin_1': 0.3562778830528259, 'redshifts/outlier_fraction_bin_2': 0.2540816366672516, 'redshifts/outlier_fraction_bin_3': 0.19431279599666595, 'redshifts/outlier_fraction_bin_4': 0.17370891571044922, 'redshifts/outlier_fraction_bin_5': 0.09573633223772049, 'redshifts/outlier_fraction_cata': 0.08824444562196732, 'redshifts/outlier_fraction_cata_bin_0': 0.1281725913286209, 'redshifts/outlier_fraction_cata_bin_1': 0.10176333039999008, 'redshifts/outlier_fraction_cata_bin_2': 0.0724489763379097, 'redshifts/outlier_fraction_cata_bin_3': 0.05876777321100235, 'redshifts/outlier_fraction_cata_bin_4': 0.061032865196466446, 'redshifts/outlier_fraction_cata_bin_5': 0.01831022836267948}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 79%|███████▉ | 304/383 [13:51:12<3:22:21, 153.69s/it]" + " 19%|█▉ | 299/1563 [26:35<1:44:32, 4.96s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([59025.])\n", - "{'redshifts/mse': 0.28341642022132874}\n" + "total num of pts: tensor([19343.])\n", + "total num of pts: tensor([7125., 4722., 1965., 1058., 640., 3833.])\n", + "{'redshifts/bias_abs': 0.07622567564249039, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.040538057684898376, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004040731117129326, 'redshifts/bias_bin_0': 0.03198041394352913, 'redshifts/bias_bin_1': 0.008853794075548649, 'redshifts/bias_bin_2': -0.0031656830105930567, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0012845878954976797, 'redshifts/mse': 0.3109118938446045, 'redshifts/mse_bin_0': 0.4337262809276581, 'redshifts/mse_bin_1': 0.36791354417800903, 'redshifts/mse_bin_2': 0.2609291076660156, 'redshifts/mse_bin_3': 0.2163664698600769, 'redshifts/mse_bin_4': 0.24488535523414612, 'redshifts/mse_bin_5': 0.07514206320047379, 'redshifts/nmad': 0.11293228715658188, 'redshifts/nmad_bin_0': 0.2136339247226715, 'redshifts/nmad_bin_1': 0.13516376912593842, 'redshifts/nmad_bin_2': 0.08376172930002213, 'redshifts/nmad_bin_3': 0.0686277449131012, 'redshifts/nmad_bin_4': 0.05975700914859772, 'redshifts/nmad_bin_5': 0.034966371953487396, 'redshifts/outlier_fraction': 0.3282841444015503, 'redshifts/outlier_fraction_bin_0': 0.4887017607688904, 'redshifts/outlier_fraction_bin_1': 0.35662853717803955, 'redshifts/outlier_fraction_bin_2': 0.2539440095424652, 'redshifts/outlier_fraction_bin_3': 0.194706991314888, 'redshifts/outlier_fraction_bin_4': 0.17499999701976776, 'redshifts/outlier_fraction_bin_5': 0.0957474559545517, 'redshifts/outlier_fraction_cata': 0.08840407431125641, 'redshifts/outlier_fraction_cata_bin_0': 0.12828069925308228, 'redshifts/outlier_fraction_cata_bin_1': 0.10207539051771164, 'redshifts/outlier_fraction_cata_bin_2': 0.0727735385298729, 'redshifts/outlier_fraction_cata_bin_3': 0.05860113352537155, 'redshifts/outlier_fraction_cata_bin_4': 0.06093750149011612, 'redshifts/outlier_fraction_cata_bin_5': 0.018262457102537155}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 80%|███████▉ | 305/383 [13:53:50<3:21:26, 154.96s/it]" + " 19%|█▉ | 300/1563 [26:39<1:42:06, 4.85s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([59208.])\n", - "{'redshifts/mse': 0.2831074297428131}\n" + "total num of pts: tensor([19406.])\n", + "total num of pts: tensor([7148., 4743., 1971., 1060., 640., 3844.])\n", + "{'redshifts/bias_abs': 0.07626644521951675, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.040538057684898376, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.003954622428864241, 'redshifts/bias_bin_0': 0.03180370852351189, 'redshifts/bias_bin_1': 0.008853794075548649, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.001303885830566287, 'redshifts/mse': 0.3108389675617218, 'redshifts/mse_bin_0': 0.4338970482349396, 'redshifts/mse_bin_1': 0.36738666892051697, 'redshifts/mse_bin_2': 0.26036548614501953, 'redshifts/mse_bin_3': 0.2170017659664154, 'redshifts/mse_bin_4': 0.24488535523414612, 'redshifts/mse_bin_5': 0.07497600466012955, 'redshifts/nmad': 0.11294323205947876, 'redshifts/nmad_bin_0': 0.21349310874938965, 'redshifts/nmad_bin_1': 0.13511762022972107, 'redshifts/nmad_bin_2': 0.0839235931634903, 'redshifts/nmad_bin_3': 0.0693947970867157, 'redshifts/nmad_bin_4': 0.05975700914859772, 'redshifts/nmad_bin_5': 0.034994982182979584, 'redshifts/outlier_fraction': 0.3283005356788635, 'redshifts/outlier_fraction_bin_0': 0.48894795775413513, 'redshifts/outlier_fraction_bin_1': 0.35610371828079224, 'redshifts/outlier_fraction_bin_2': 0.2541857063770294, 'redshifts/outlier_fraction_bin_3': 0.19528302550315857, 'redshifts/outlier_fraction_bin_4': 0.17499999701976776, 'redshifts/outlier_fraction_bin_5': 0.09547346830368042, 'redshifts/outlier_fraction_cata': 0.08847779035568237, 'redshifts/outlier_fraction_cata_bin_0': 0.12842753529548645, 'redshifts/outlier_fraction_cata_bin_1': 0.10204511880874634, 'redshifts/outlier_fraction_cata_bin_2': 0.07255200296640396, 'redshifts/outlier_fraction_cata_bin_3': 0.059433963149785995, 'redshifts/outlier_fraction_cata_bin_4': 0.06093750149011612, 'redshifts/outlier_fraction_cata_bin_5': 0.018210196867585182}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 80%|███████▉ | 306/383 [13:56:26<3:19:20, 155.33s/it]" + " 19%|█▉ | 301/1563 [26:46<1:51:54, 5.32s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([59395.])\n", - "{'redshifts/mse': 0.283471941947937}\n" + "total num of pts: tensor([19488.])\n", + "total num of pts: tensor([7182., 4759., 1978., 1065., 644., 3860.])\n", + "{'redshifts/bias_abs': 0.07622567564249039, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004060894250869751, 'redshifts/bias_bin_0': 0.03198041394352913, 'redshifts/bias_bin_1': 0.009022741578519344, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012845878954976797, 'redshifts/mse': 0.3105243146419525, 'redshifts/mse_bin_0': 0.4332582950592041, 'redshifts/mse_bin_1': 0.3678763210773468, 'redshifts/mse_bin_2': 0.2595464587211609, 'redshifts/mse_bin_3': 0.2160637527704239, 'redshifts/mse_bin_4': 0.2440849393606186, 'redshifts/mse_bin_5': 0.0747247040271759, 'redshifts/nmad': 0.11290456354618073, 'redshifts/nmad_bin_0': 0.21346592903137207, 'redshifts/nmad_bin_1': 0.1353963166475296, 'redshifts/nmad_bin_2': 0.08405724167823792, 'redshifts/nmad_bin_3': 0.0693947970867157, 'redshifts/nmad_bin_4': 0.060620859265327454, 'redshifts/nmad_bin_5': 0.034966371953487396, 'redshifts/outlier_fraction': 0.32830458879470825, 'redshifts/outlier_fraction_bin_0': 0.4890002906322479, 'redshifts/outlier_fraction_bin_1': 0.3565875291824341, 'redshifts/outlier_fraction_bin_2': 0.2532861530780792, 'redshifts/outlier_fraction_bin_3': 0.1943662017583847, 'redshifts/outlier_fraction_bin_4': 0.17546583712100983, 'redshifts/outlier_fraction_bin_5': 0.09533678740262985, 'redshifts/outlier_fraction_cata': 0.08836206793785095, 'redshifts/outlier_fraction_cata_bin_0': 0.1282372623682022, 'redshifts/outlier_fraction_cata_bin_1': 0.10212229192256927, 'redshifts/outlier_fraction_cata_bin_2': 0.07229524850845337, 'redshifts/outlier_fraction_cata_bin_3': 0.0591549277305603, 'redshifts/outlier_fraction_cata_bin_4': 0.06055900454521179, 'redshifts/outlier_fraction_cata_bin_5': 0.018134715035557747}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 80%|████████ | 307/383 [13:58:59<3:15:43, 154.52s/it]" + " 19%|█▉ | 302/1563 [26:53<2:00:07, 5.72s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([59581.])\n", - "{'redshifts/mse': 0.2832668423652649}\n" + "total num of pts: tensor([19550.])\n", + "total num of pts: tensor([7205., 4773., 1986., 1071., 646., 3869.])\n", + "{'redshifts/bias_abs': 0.07624728232622147, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.03198041394352913, 'redshifts/bias_bin_1': 0.009022741578519344, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.31043457984924316, 'redshifts/mse_bin_0': 0.43271133303642273, 'redshifts/mse_bin_1': 0.3686724007129669, 'redshifts/mse_bin_2': 0.2588573396205902, 'redshifts/mse_bin_3': 0.21651943027973175, 'redshifts/mse_bin_4': 0.2433384507894516, 'redshifts/mse_bin_5': 0.07455789297819138, 'redshifts/nmad': 0.11293437331914902, 'redshifts/nmad_bin_0': 0.2136014848947525, 'redshifts/nmad_bin_1': 0.1356399953365326, 'redshifts/nmad_bin_2': 0.08374524861574173, 'redshifts/nmad_bin_3': 0.07003005594015121, 'redshifts/nmad_bin_4': 0.06012620031833649, 'redshifts/nmad_bin_5': 0.03493243828415871, 'redshifts/outlier_fraction': 0.32823529839515686, 'redshifts/outlier_fraction_bin_0': 0.4889659881591797, 'redshifts/outlier_fraction_bin_1': 0.3567986488342285, 'redshifts/outlier_fraction_bin_2': 0.2527693808078766, 'redshifts/outlier_fraction_bin_3': 0.19421102106571198, 'redshifts/outlier_fraction_bin_4': 0.17492260038852692, 'redshifts/outlier_fraction_bin_5': 0.09511501342058182, 'redshifts/outlier_fraction_cata': 0.08833759278059006, 'redshifts/outlier_fraction_cata_bin_0': 0.12810547649860382, 'redshifts/outlier_fraction_cata_bin_1': 0.10224177688360214, 'redshifts/outlier_fraction_cata_bin_2': 0.07200402766466141, 'redshifts/outlier_fraction_cata_bin_3': 0.05975723639130592, 'redshifts/outlier_fraction_cata_bin_4': 0.0603715181350708, 'redshifts/outlier_fraction_cata_bin_5': 0.018092529848217964}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 80%|████████ | 308/383 [14:01:31<3:12:08, 153.71s/it]" + " 19%|█▉ | 303/1563 [26:56<1:48:27, 5.16s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([59752.])\n", - "{'redshifts/mse': 0.2830873727798462}\n" + "total num of pts: tensor([19633.])\n", + "total num of pts: tensor([7232., 4793., 1994., 1075., 649., 3890.])\n", + "{'redshifts/bias_abs': 0.07632797956466675, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004056193865835667, 'redshifts/bias_bin_0': 0.03170373663306236, 'redshifts/bias_bin_1': 0.00912108551710844, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.31044474244117737, 'redshifts/mse_bin_0': 0.4334399104118347, 'redshifts/mse_bin_1': 0.3678130805492401, 'redshifts/mse_bin_2': 0.25990474224090576, 'redshifts/mse_bin_3': 0.21595768630504608, 'redshifts/mse_bin_4': 0.24228893220424652, 'redshifts/mse_bin_5': 0.07448659092187881, 'redshifts/nmad': 0.11309383064508438, 'redshifts/nmad_bin_0': 0.2135249674320221, 'redshifts/nmad_bin_1': 0.1355600655078888, 'redshifts/nmad_bin_2': 0.08378547430038452, 'redshifts/nmad_bin_3': 0.06966395676136017, 'redshifts/nmad_bin_4': 0.06012620031833649, 'redshifts/nmad_bin_5': 0.03496303781867027, 'redshifts/outlier_fraction': 0.32827383279800415, 'redshifts/outlier_fraction_bin_0': 0.48949116468429565, 'redshifts/outlier_fraction_bin_1': 0.35656166076660156, 'redshifts/outlier_fraction_bin_2': 0.2532597780227661, 'redshifts/outlier_fraction_bin_3': 0.19441860914230347, 'redshifts/outlier_fraction_bin_4': 0.17411401867866516, 'redshifts/outlier_fraction_bin_5': 0.09485860913991928, 'redshifts/outlier_fraction_cata': 0.08837161958217621, 'redshifts/outlier_fraction_cata_bin_0': 0.12845686078071594, 'redshifts/outlier_fraction_cata_bin_1': 0.10202378779649734, 'redshifts/outlier_fraction_cata_bin_2': 0.07221665233373642, 'redshifts/outlier_fraction_cata_bin_3': 0.05953488498926163, 'redshifts/outlier_fraction_cata_bin_4': 0.06009244918823242, 'redshifts/outlier_fraction_cata_bin_5': 0.01799485832452774}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 81%|████████ | 309/383 [14:04:01<3:08:11, 152.58s/it]" + " 19%|█▉ | 304/1563 [27:02<1:54:18, 5.45s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([59973.])\n", - "{'redshifts/mse': 0.2831418216228485}\n" + "total num of pts: tensor([19708.])\n", + "total num of pts: tensor([7260., 4817., 2002., 1077., 651., 3901.])\n", + "{'redshifts/bias_abs': 0.07638644427061081, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004056193865835667, 'redshifts/bias_bin_0': 0.03164943307638168, 'redshifts/bias_bin_1': 0.009022741578519344, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.31076979637145996, 'redshifts/mse_bin_0': 0.4334462285041809, 'redshifts/mse_bin_1': 0.368397980928421, 'redshifts/mse_bin_2': 0.2612030804157257, 'redshifts/mse_bin_3': 0.21609711647033691, 'redshifts/mse_bin_4': 0.241604283452034, 'redshifts/mse_bin_5': 0.07442068308591843, 'redshifts/nmad': 0.11318328231573105, 'redshifts/nmad_bin_0': 0.21344445645809174, 'redshifts/nmad_bin_1': 0.13546079397201538, 'redshifts/nmad_bin_2': 0.0839235931634903, 'redshifts/nmad_bin_3': 0.06966395676136017, 'redshifts/nmad_bin_4': 0.060418810695409775, 'redshifts/nmad_bin_5': 0.03500676527619362, 'redshifts/outlier_fraction': 0.32844531536102295, 'redshifts/outlier_fraction_bin_0': 0.489393949508667, 'redshifts/outlier_fraction_bin_1': 0.35665351152420044, 'redshifts/outlier_fraction_bin_2': 0.25374624133110046, 'redshifts/outlier_fraction_bin_3': 0.19498607516288757, 'redshifts/outlier_fraction_bin_4': 0.1751152127981186, 'redshifts/outlier_fraction_bin_5': 0.09484747797250748, 'redshifts/outlier_fraction_cata': 0.08844124525785446, 'redshifts/outlier_fraction_cata_bin_0': 0.1285123974084854, 'redshifts/outlier_fraction_cata_bin_1': 0.10213825851678848, 'redshifts/outlier_fraction_cata_bin_2': 0.07242757081985474, 'redshifts/outlier_fraction_cata_bin_3': 0.059424325823783875, 'redshifts/outlier_fraction_cata_bin_4': 0.059907834976911545, 'redshifts/outlier_fraction_cata_bin_5': 0.01794411614537239}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 81%|████████ | 310/383 [14:06:33<3:05:43, 152.65s/it]" + " 20%|█▉ | 305/1563 [27:09<2:01:20, 5.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([60158.])\n", - "{'redshifts/mse': 0.2832246422767639}\n" + "total num of pts: tensor([19778.])\n", + "total num of pts: tensor([7293., 4825., 2015., 1082., 653., 3910.])\n", + "{'redshifts/bias_abs': 0.07630721479654312, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004086958710104227, 'redshifts/bias_bin_0': 0.03198041394352913, 'redshifts/bias_bin_1': 0.009022741578519344, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.3104487955570221, 'redshifts/mse_bin_0': 0.43303731083869934, 'redshifts/mse_bin_1': 0.36782345175743103, 'redshifts/mse_bin_2': 0.2610601484775543, 'redshifts/mse_bin_3': 0.21513120830059052, 'redshifts/mse_bin_4': 0.2413303703069687, 'redshifts/mse_bin_5': 0.07436727732419968, 'redshifts/nmad': 0.11311659216880798, 'redshifts/nmad_bin_0': 0.21367768943309784, 'redshifts/nmad_bin_1': 0.13536809384822845, 'redshifts/nmad_bin_2': 0.08429526537656784, 'redshifts/nmad_bin_3': 0.0688495934009552, 'redshifts/nmad_bin_4': 0.060620859265327454, 'redshifts/nmad_bin_5': 0.034958355128765106, 'redshifts/outlier_fraction': 0.3284963071346283, 'redshifts/outlier_fraction_bin_0': 0.4893733859062195, 'redshifts/outlier_fraction_bin_1': 0.3562694191932678, 'redshifts/outlier_fraction_bin_2': 0.25409430265426636, 'redshifts/outlier_fraction_bin_3': 0.194085031747818, 'redshifts/outlier_fraction_bin_4': 0.17764165997505188, 'redshifts/outlier_fraction_bin_5': 0.09488490968942642, 'redshifts/outlier_fraction_cata': 0.08838102966547012, 'redshifts/outlier_fraction_cata_bin_0': 0.12847936153411865, 'redshifts/outlier_fraction_cata_bin_1': 0.101968914270401, 'redshifts/outlier_fraction_cata_bin_2': 0.07245657593011856, 'redshifts/outlier_fraction_cata_bin_3': 0.05914972350001335, 'redshifts/outlier_fraction_cata_bin_4': 0.0597243495285511, 'redshifts/outlier_fraction_cata_bin_5': 0.017902813851833344}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 81%|████████ | 311/383 [14:09:05<3:02:43, 152.27s/it]" + " 20%|█▉ | 306/1563 [27:15<2:00:48, 5.77s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([60341.])\n", - "{'redshifts/mse': 0.28316816687583923}\n" + "total num of pts: tensor([19848.])\n", + "total num of pts: tensor([7318., 4839., 2023., 1085., 655., 3928.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004056193865835667, 'redshifts/bias_bin_0': 0.03215901553630829, 'redshifts/bias_bin_1': 0.008975479751825333, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.31074583530426025, 'redshifts/mse_bin_0': 0.4348185956478119, 'redshifts/mse_bin_1': 0.3671301007270813, 'redshifts/mse_bin_2': 0.2607748508453369, 'redshifts/mse_bin_3': 0.21475549042224884, 'redshifts/mse_bin_4': 0.2406015843153, 'redshifts/mse_bin_5': 0.07408206909894943, 'redshifts/nmad': 0.11316220462322235, 'redshifts/nmad_bin_0': 0.2142181396484375, 'redshifts/nmad_bin_1': 0.13516196608543396, 'redshifts/nmad_bin_2': 0.0839235931634903, 'redshifts/nmad_bin_3': 0.06911876052618027, 'redshifts/nmad_bin_4': 0.060418810695409775, 'redshifts/nmad_bin_5': 0.034935303032398224, 'redshifts/outlier_fraction': 0.3286477327346802, 'redshifts/outlier_fraction_bin_0': 0.4901612401008606, 'redshifts/outlier_fraction_bin_1': 0.3560653030872345, 'redshifts/outlier_fraction_bin_2': 0.25407809019088745, 'redshifts/outlier_fraction_bin_3': 0.19447004795074463, 'redshifts/outlier_fraction_bin_4': 0.17709924280643463, 'redshifts/outlier_fraction_bin_5': 0.09470468759536743, 'redshifts/outlier_fraction_cata': 0.088573157787323, 'redshifts/outlier_fraction_cata_bin_0': 0.1292702853679657, 'redshifts/outlier_fraction_cata_bin_1': 0.1016739010810852, 'redshifts/outlier_fraction_cata_bin_2': 0.07266435772180557, 'redshifts/outlier_fraction_cata_bin_3': 0.058986175805330276, 'redshifts/outlier_fraction_cata_bin_4': 0.059541985392570496, 'redshifts/outlier_fraction_cata_bin_5': 0.017820773646235466}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 81%|████████▏ | 312/383 [14:11:37<3:00:14, 152.32s/it]" + " 20%|█▉ | 307/1563 [27:21<2:03:20, 5.89s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([60541.])\n", - "{'redshifts/mse': 0.28324395418167114}\n" + "total num of pts: tensor([19912.])\n", + "total num of pts: tensor([7339., 4856., 2026., 1088., 656., 3947.])\n", + "{'redshifts/bias_abs': 0.07626644521951675, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.023689433932304382, 'redshifts/bias': 0.004060894250869751, 'redshifts/bias_bin_0': 0.03198041394352913, 'redshifts/bias_bin_1': 0.009000292047858238, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012639437336474657, 'redshifts/mse': 0.3103044629096985, 'redshifts/mse_bin_0': 0.43446964025497437, 'redshifts/mse_bin_1': 0.3666110336780548, 'redshifts/mse_bin_2': 0.26059845089912415, 'redshifts/mse_bin_3': 0.21425527334213257, 'redshifts/mse_bin_4': 0.2402547001838684, 'redshifts/mse_bin_5': 0.07379370182752609, 'redshifts/nmad': 0.11304952949285507, 'redshifts/nmad_bin_0': 0.2140095829963684, 'redshifts/nmad_bin_1': 0.13519875705242157, 'redshifts/nmad_bin_2': 0.08387785404920578, 'redshifts/nmad_bin_3': 0.0693947970867157, 'redshifts/nmad_bin_4': 0.060418810695409775, 'redshifts/nmad_bin_5': 0.03507690876722336, 'redshifts/outlier_fraction': 0.32839494943618774, 'redshifts/outlier_fraction_bin_0': 0.4898487627506256, 'redshifts/outlier_fraction_bin_1': 0.35584843158721924, 'redshifts/outlier_fraction_bin_2': 0.2541954517364502, 'redshifts/outlier_fraction_bin_3': 0.19393382966518402, 'redshifts/outlier_fraction_bin_4': 0.1768292635679245, 'redshifts/outlier_fraction_bin_5': 0.09475550800561905, 'redshifts/outlier_fraction_cata': 0.08838891237974167, 'redshifts/outlier_fraction_cata_bin_0': 0.1291729062795639, 'redshifts/outlier_fraction_cata_bin_1': 0.10131795704364777, 'redshifts/outlier_fraction_cata_bin_2': 0.0725567638874054, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.05945121869444847, 'redshifts/outlier_fraction_cata_bin_5': 0.017734989523887634}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 82%|████████▏ | 313/383 [14:14:09<2:57:36, 152.23s/it]" + " 20%|█▉ | 308/1563 [27:27<2:01:22, 5.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([60736.])\n", - "{'redshifts/mse': 0.28326839208602905}\n" + "total num of pts: tensor([19985.])\n", + "total num of pts: tensor([7367., 4873., 2033., 1092., 660., 3960.])\n", + "{'redshifts/bias_abs': 0.07617460191249847, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.02365754544734955, 'redshifts/bias': 0.004060894250869751, 'redshifts/bias_bin_0': 0.03225463256239891, 'redshifts/bias_bin_1': 0.009022741578519344, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.0074362014420330524, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.3101786971092224, 'redshifts/mse_bin_0': 0.435166597366333, 'redshifts/mse_bin_1': 0.3656015992164612, 'redshifts/mse_bin_2': 0.25998052954673767, 'redshifts/mse_bin_3': 0.2138567417860031, 'redshifts/mse_bin_4': 0.23955129086971283, 'redshifts/mse_bin_5': 0.07356137782335281, 'redshifts/nmad': 0.11295533925294876, 'redshifts/nmad_bin_0': 0.21451923251152039, 'redshifts/nmad_bin_1': 0.1349450796842575, 'redshifts/nmad_bin_2': 0.08404604345560074, 'redshifts/nmad_bin_3': 0.06941217184066772, 'redshifts/nmad_bin_4': 0.060418810695409775, 'redshifts/nmad_bin_5': 0.03496303781867027, 'redshifts/outlier_fraction': 0.32834625244140625, 'redshifts/outlier_fraction_bin_0': 0.49002307653427124, 'redshifts/outlier_fraction_bin_1': 0.3552226424217224, 'redshifts/outlier_fraction_bin_2': 0.2543039917945862, 'redshifts/outlier_fraction_bin_3': 0.19413919746875763, 'redshifts/outlier_fraction_bin_4': 0.17878787219524384, 'redshifts/outlier_fraction_bin_5': 0.09444444626569748, 'redshifts/outlier_fraction_cata': 0.08831623941659927, 'redshifts/outlier_fraction_cata_bin_0': 0.12936066091060638, 'redshifts/outlier_fraction_cata_bin_1': 0.1009645015001297, 'redshifts/outlier_fraction_cata_bin_2': 0.07230693846940994, 'redshifts/outlier_fraction_cata_bin_3': 0.05860805884003639, 'redshifts/outlier_fraction_cata_bin_4': 0.059090908616781235, 'redshifts/outlier_fraction_cata_bin_5': 0.017676766961812973}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 82%|████████▏ | 314/383 [14:16:43<2:55:28, 152.59s/it]" + " 20%|█▉ | 309/1563 [27:31<1:52:52, 5.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([60902.])\n", - "{'redshifts/mse': 0.2834608852863312}\n" + "total num of pts: tensor([20049.])\n", + "total num of pts: tensor([7393., 4892., 2037., 1095., 662., 3970.])\n", + "{'redshifts/bias_abs': 0.07620159536600113, 'redshifts/bias_abs_bin_0': 0.14541053771972656, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.040538057684898376, 'redshifts/bias_abs_bin_5': 0.02365754544734955, 'redshifts/bias': 0.004086958710104227, 'redshifts/bias_bin_0': 0.032268814742565155, 'redshifts/bias_bin_1': 0.009000292047858238, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0012845878954976797, 'redshifts/mse': 0.3107282519340515, 'redshifts/mse_bin_0': 0.4358769655227661, 'redshifts/mse_bin_1': 0.36644870042800903, 'redshifts/mse_bin_2': 0.2608976364135742, 'redshifts/mse_bin_3': 0.21352173388004303, 'redshifts/mse_bin_4': 0.23883436620235443, 'redshifts/mse_bin_5': 0.07338212430477142, 'redshifts/nmad': 0.11299397796392441, 'redshifts/nmad_bin_0': 0.21523548662662506, 'redshifts/nmad_bin_1': 0.13491180539131165, 'redshifts/nmad_bin_2': 0.08387785404920578, 'redshifts/nmad_bin_3': 0.0693947970867157, 'redshifts/nmad_bin_4': 0.06029275804758072, 'redshifts/nmad_bin_5': 0.03499305248260498, 'redshifts/outlier_fraction': 0.3287445902824402, 'redshifts/outlier_fraction_bin_0': 0.4907344877719879, 'redshifts/outlier_fraction_bin_1': 0.35547834634780884, 'redshifts/outlier_fraction_bin_2': 0.2547864615917206, 'redshifts/outlier_fraction_bin_3': 0.19452054798603058, 'redshifts/outlier_fraction_bin_4': 0.17824773490428925, 'redshifts/outlier_fraction_bin_5': 0.0942065492272377, 'redshifts/outlier_fraction_cata': 0.08858297020196915, 'redshifts/outlier_fraction_cata_bin_0': 0.12971730530261993, 'redshifts/outlier_fraction_cata_bin_1': 0.10118561238050461, 'redshifts/outlier_fraction_cata_bin_2': 0.07314678281545639, 'redshifts/outlier_fraction_cata_bin_3': 0.05844748765230179, 'redshifts/outlier_fraction_cata_bin_4': 0.05891238525509834, 'redshifts/outlier_fraction_cata_bin_5': 0.017632242292165756}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 82%|████████▏ | 315/383 [14:19:19<2:54:13, 153.73s/it]" + " 20%|█▉ | 310/1563 [27:37<1:56:06, 5.56s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([61074.])\n", - "{'redshifts/mse': 0.28365764021873474}\n" + "total num of pts: tensor([20127.])\n", + "total num of pts: tensor([7421., 4911., 2045., 1097., 665., 3988.])\n", + "{'redshifts/bias_abs': 0.07616522163152695, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004086958710104227, 'redshifts/bias_bin_0': 0.03225463256239891, 'redshifts/bias_bin_1': 0.009152697399258614, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.31124556064605713, 'redshifts/mse_bin_0': 0.43656864762306213, 'redshifts/mse_bin_1': 0.36616700887680054, 'redshifts/mse_bin_2': 0.2651309669017792, 'redshifts/mse_bin_3': 0.21331270039081573, 'redshifts/mse_bin_4': 0.2384926974773407, 'redshifts/mse_bin_5': 0.07312650978565216, 'redshifts/nmad': 0.11294320225715637, 'redshifts/nmad_bin_0': 0.21525652706623077, 'redshifts/nmad_bin_1': 0.13493511080741882, 'redshifts/nmad_bin_2': 0.08422543108463287, 'redshifts/nmad_bin_3': 0.0693947970867157, 'redshifts/nmad_bin_4': 0.060418810695409775, 'redshifts/nmad_bin_5': 0.03489667922258377, 'redshifts/outlier_fraction': 0.32881203293800354, 'redshifts/outlier_fraction_bin_0': 0.49049994349479675, 'redshifts/outlier_fraction_bin_1': 0.35552841424942017, 'redshifts/outlier_fraction_bin_2': 0.25574570894241333, 'redshifts/outlier_fraction_bin_3': 0.19507747888565063, 'redshifts/outlier_fraction_bin_4': 0.17894737422466278, 'redshifts/outlier_fraction_bin_5': 0.0942828506231308, 'redshifts/outlier_fraction_cata': 0.08878620713949203, 'redshifts/outlier_fraction_cata_bin_0': 0.13017113506793976, 'redshifts/outlier_fraction_cata_bin_1': 0.1012013852596283, 'redshifts/outlier_fraction_cata_bin_2': 0.07383862882852554, 'redshifts/outlier_fraction_cata_bin_3': 0.058340929448604584, 'redshifts/outlier_fraction_cata_bin_4': 0.05864661559462547, 'redshifts/outlier_fraction_cata_bin_5': 0.017552657052874565}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 83%|████████▎ | 316/383 [14:21:54<2:52:13, 154.24s/it]" + " 20%|█▉ | 311/1563 [27:43<2:00:58, 5.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([61274.])\n", - "{'redshifts/mse': 0.28374165296554565}\n" + "total num of pts: tensor([20213.])\n", + "total num of pts: tensor([7459., 4926., 2048., 1101., 668., 4011.])\n", + "{'redshifts/bias_abs': 0.07613266259431839, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05780387669801712, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004087718669325113, 'redshifts/bias_bin_0': 0.032247524708509445, 'redshifts/bias_bin_1': 0.009219486266374588, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.0012845878954976797, 'redshifts/mse': 0.310783714056015, 'redshifts/mse_bin_0': 0.4360257685184479, 'redshifts/mse_bin_1': 0.3658374547958374, 'redshifts/mse_bin_2': 0.2649243474006653, 'redshifts/mse_bin_3': 0.21289896965026855, 'redshifts/mse_bin_4': 0.23742808401584625, 'redshifts/mse_bin_5': 0.07276926189661026, 'redshifts/nmad': 0.11294267326593399, 'redshifts/nmad_bin_0': 0.21532995998859406, 'redshifts/nmad_bin_1': 0.13482576608657837, 'redshifts/nmad_bin_2': 0.08445672690868378, 'redshifts/nmad_bin_3': 0.0688495934009552, 'redshifts/nmad_bin_4': 0.05998578667640686, 'redshifts/nmad_bin_5': 0.03499305248260498, 'redshifts/outlier_fraction': 0.3289961814880371, 'redshifts/outlier_fraction_bin_0': 0.49108460545539856, 'redshifts/outlier_fraction_bin_1': 0.3554608225822449, 'redshifts/outlier_fraction_bin_2': 0.255859375, 'redshifts/outlier_fraction_bin_3': 0.19527702033519745, 'redshifts/outlier_fraction_bin_4': 0.178143709897995, 'redshifts/outlier_fraction_bin_5': 0.09424083679914474, 'redshifts/outlier_fraction_cata': 0.08870528638362885, 'redshifts/outlier_fraction_cata_bin_0': 0.130178302526474, 'redshifts/outlier_fraction_cata_bin_1': 0.10109622776508331, 'redshifts/outlier_fraction_cata_bin_2': 0.07373046875, 'redshifts/outlier_fraction_cata_bin_3': 0.058128975331783295, 'redshifts/outlier_fraction_cata_bin_4': 0.05838323384523392, 'redshifts/outlier_fraction_cata_bin_5': 0.01745200715959072}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 83%|████████▎ | 317/383 [14:24:26<2:48:49, 153.48s/it]" + " 20%|█▉ | 312/1563 [27:48<1:52:33, 5.40s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([61480.])\n", - "{'redshifts/mse': 0.2840006351470947}\n" + "total num of pts: tensor([20278.])\n", + "total num of pts: tensor([7483., 4942., 2056., 1108., 669., 4020.])\n", + "{'redshifts/bias_abs': 0.07624728232622147, 'redshifts/bias_abs_bin_0': 0.14573726058006287, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004117883741855621, 'redshifts/bias_bin_0': 0.03233056515455246, 'redshifts/bias_bin_1': 0.009329437278211117, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.006907111965119839, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.31077152490615845, 'redshifts/mse_bin_0': 0.43578609824180603, 'redshifts/mse_bin_1': 0.36614304780960083, 'redshifts/mse_bin_2': 0.26467639207839966, 'redshifts/mse_bin_3': 0.21341460943222046, 'redshifts/mse_bin_4': 0.23707635700702667, 'redshifts/mse_bin_5': 0.07266764342784882, 'redshifts/nmad': 0.11307292431592941, 'redshifts/nmad_bin_0': 0.21569669246673584, 'redshifts/nmad_bin_1': 0.13520684838294983, 'redshifts/nmad_bin_2': 0.0843476876616478, 'redshifts/nmad_bin_3': 0.06911876052618027, 'redshifts/nmad_bin_4': 0.05998578667640686, 'redshifts/nmad_bin_5': 0.03493635356426239, 'redshifts/outlier_fraction': 0.3290758430957794, 'redshifts/outlier_fraction_bin_0': 0.4913804531097412, 'redshifts/outlier_fraction_bin_1': 0.35552409291267395, 'redshifts/outlier_fraction_bin_2': 0.2553502023220062, 'redshifts/outlier_fraction_bin_3': 0.19494584202766418, 'redshifts/outlier_fraction_bin_4': 0.17787742614746094, 'redshifts/outlier_fraction_bin_5': 0.09427860379219055, 'redshifts/outlier_fraction_cata': 0.08871683478355408, 'redshifts/outlier_fraction_cata_bin_0': 0.13016170263290405, 'redshifts/outlier_fraction_cata_bin_1': 0.1009712666273117, 'redshifts/outlier_fraction_cata_bin_2': 0.07392995804548264, 'redshifts/outlier_fraction_cata_bin_3': 0.05866425856947899, 'redshifts/outlier_fraction_cata_bin_4': 0.05829596519470215, 'redshifts/outlier_fraction_cata_bin_5': 0.017412934452295303}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 83%|████████▎ | 318/383 [14:27:02<2:46:57, 154.12s/it]" + " 20%|██ | 313/1563 [28:00<2:37:37, 7.57s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([61727.])\n", - "{'redshifts/mse': 0.28374114632606506}\n" + "total num of pts: tensor([20337.])\n", + "total num of pts: tensor([7503., 4954., 2061., 1112., 670., 4037.])\n", + "{'redshifts/bias_abs': 0.07630721479654312, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004135464783757925, 'redshifts/bias_bin_0': 0.032387785613536835, 'redshifts/bias_bin_1': 0.009329437278211117, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.31062549352645874, 'redshifts/mse_bin_0': 0.4359075427055359, 'redshifts/mse_bin_1': 0.365617573261261, 'redshifts/mse_bin_2': 0.2658485472202301, 'redshifts/mse_bin_3': 0.21279332041740417, 'redshifts/mse_bin_4': 0.2367251068353653, 'redshifts/mse_bin_5': 0.0723724514245987, 'redshifts/nmad': 0.11310578882694244, 'redshifts/nmad_bin_0': 0.2155379205942154, 'redshifts/nmad_bin_1': 0.13519714772701263, 'redshifts/nmad_bin_2': 0.08503705263137817, 'redshifts/nmad_bin_3': 0.06899428367614746, 'redshifts/nmad_bin_4': 0.05878131836652756, 'redshifts/nmad_bin_5': 0.03489667922258377, 'redshifts/outlier_fraction': 0.32876038551330566, 'redshifts/outlier_fraction_bin_0': 0.4910036027431488, 'redshifts/outlier_fraction_bin_1': 0.3552684783935547, 'redshifts/outlier_fraction_bin_2': 0.256186306476593, 'redshifts/outlier_fraction_bin_3': 0.1942446082830429, 'redshifts/outlier_fraction_bin_4': 0.17761194705963135, 'redshifts/outlier_fraction_bin_5': 0.09388159215450287, 'redshifts/outlier_fraction_cata': 0.08865614235401154, 'redshifts/outlier_fraction_cata_bin_0': 0.13021458685398102, 'redshifts/outlier_fraction_cata_bin_1': 0.10072668641805649, 'redshifts/outlier_fraction_cata_bin_2': 0.07423580437898636, 'redshifts/outlier_fraction_cata_bin_3': 0.058453235775232315, 'redshifts/outlier_fraction_cata_bin_4': 0.058208953589200974, 'redshifts/outlier_fraction_cata_bin_5': 0.017339607700705528}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 83%|████████▎ | 319/383 [14:29:35<2:44:06, 153.85s/it]" + " 20%|██ | 314/1563 [28:05<2:17:14, 6.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([61925.])\n", - "{'redshifts/mse': 0.28397780656814575}\n" + "total num of pts: tensor([20397.])\n", + "total num of pts: tensor([7525., 4969., 2065., 1117., 674., 4047.])\n", + "{'redshifts/bias_abs': 0.07616522163152695, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05780387669801712, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004111929330974817, 'redshifts/bias_bin_0': 0.0323825366795063, 'redshifts/bias_bin_1': 0.009386750869452953, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.0067375837825238705, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.0012845878954976797, 'redshifts/mse': 0.3101642429828644, 'redshifts/mse_bin_0': 0.43558356165885925, 'redshifts/mse_bin_1': 0.3649041950702667, 'redshifts/mse_bin_2': 0.26533961296081543, 'redshifts/mse_bin_3': 0.21187545359134674, 'redshifts/mse_bin_4': 0.23536792397499084, 'redshifts/mse_bin_5': 0.07220689952373505, 'redshifts/nmad': 0.113003671169281, 'redshifts/nmad_bin_0': 0.2155301421880722, 'redshifts/nmad_bin_1': 0.1348283290863037, 'redshifts/nmad_bin_2': 0.08451588451862335, 'redshifts/nmad_bin_3': 0.06970498710870743, 'redshifts/nmad_bin_4': 0.05878131836652756, 'redshifts/nmad_bin_5': 0.034966371953487396, 'redshifts/outlier_fraction': 0.32838162779808044, 'redshifts/outlier_fraction_bin_0': 0.490896999835968, 'redshifts/outlier_fraction_bin_1': 0.3545985221862793, 'redshifts/outlier_fraction_bin_2': 0.2556900680065155, 'redshifts/outlier_fraction_bin_3': 0.1933751106262207, 'redshifts/outlier_fraction_bin_4': 0.17655786871910095, 'redshifts/outlier_fraction_bin_5': 0.09364961832761765, 'redshifts/outlier_fraction_cata': 0.08854243159294128, 'redshifts/outlier_fraction_cata_bin_0': 0.13009966909885406, 'redshifts/outlier_fraction_cata_bin_1': 0.10062386840581894, 'redshifts/outlier_fraction_cata_bin_2': 0.07409200817346573, 'redshifts/outlier_fraction_cata_bin_3': 0.058191586285829544, 'redshifts/outlier_fraction_cata_bin_4': 0.057863499969244, 'redshifts/outlier_fraction_cata_bin_5': 0.017296763136982918}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 84%|████████▎ | 320/383 [14:32:12<2:42:27, 154.72s/it]" + " 20%|██ | 315/1563 [28:09<2:03:15, 5.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([62125.])\n", - "{'redshifts/mse': 0.2841787338256836}\n" + "total num of pts: tensor([20450.])\n", + "total num of pts: tensor([7546., 4982., 2072., 1121., 677., 4052.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.03997175022959709, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004086958710104227, 'redshifts/bias_bin_0': 0.032268814742565155, 'redshifts/bias_bin_1': 0.00927495863288641, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.0013025092193856835, 'redshifts/mse': 0.31064876914024353, 'redshifts/mse_bin_0': 0.435782790184021, 'redshifts/mse_bin_1': 0.3662572503089905, 'redshifts/mse_bin_2': 0.2645617127418518, 'redshifts/mse_bin_3': 0.21113137900829315, 'redshifts/mse_bin_4': 0.23432782292366028, 'redshifts/mse_bin_5': 0.07309331744909286, 'redshifts/nmad': 0.11294154077768326, 'redshifts/nmad_bin_0': 0.21536153554916382, 'redshifts/nmad_bin_1': 0.13474352657794952, 'redshifts/nmad_bin_2': 0.08437982946634293, 'redshifts/nmad_bin_3': 0.06889409571886063, 'redshifts/nmad_bin_4': 0.05837894603610039, 'redshifts/nmad_bin_5': 0.03499294072389603, 'redshifts/outlier_fraction': 0.3283618688583374, 'redshifts/outlier_fraction_bin_0': 0.49072355031967163, 'redshifts/outlier_fraction_bin_1': 0.35467684268951416, 'redshifts/outlier_fraction_bin_2': 0.2553088665008545, 'redshifts/outlier_fraction_bin_3': 0.1926850974559784, 'redshifts/outlier_fraction_bin_4': 0.17577548325061798, 'redshifts/outlier_fraction_bin_5': 0.09402763843536377, 'redshifts/outlier_fraction_cata': 0.0886552557349205, 'redshifts/outlier_fraction_cata_bin_0': 0.1302676945924759, 'redshifts/outlier_fraction_cata_bin_1': 0.1007627472281456, 'redshifts/outlier_fraction_cata_bin_2': 0.07384169846773148, 'redshifts/outlier_fraction_cata_bin_3': 0.057983942329883575, 'redshifts/outlier_fraction_cata_bin_4': 0.05760709196329117, 'redshifts/outlier_fraction_cata_bin_5': 0.017522212117910385}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 84%|████████▍ | 321/383 [14:34:49<2:40:42, 155.53s/it]" + " 20%|██ | 316/1563 [28:15<2:02:06, 5.88s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([62307.])\n", - "{'redshifts/mse': 0.28421348333358765}\n" + "total num of pts: tensor([20515.])\n", + "total num of pts: tensor([7567., 4997., 2078., 1124., 679., 4070.])\n", + "{'redshifts/bias_abs': 0.07599033415317535, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05751139298081398, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.032247524708509445, 'redshifts/bias_bin_1': 0.00927495863288641, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.001303885830566287, 'redshifts/mse': 0.31038710474967957, 'redshifts/mse_bin_0': 0.4354713261127472, 'redshifts/mse_bin_1': 0.3666802942752838, 'redshifts/mse_bin_2': 0.26381513476371765, 'redshifts/mse_bin_3': 0.21057797968387604, 'redshifts/mse_bin_4': 0.23366713523864746, 'redshifts/mse_bin_5': 0.07285705208778381, 'redshifts/nmad': 0.11264919489622116, 'redshifts/nmad_bin_0': 0.21526706218719482, 'redshifts/nmad_bin_1': 0.13474352657794952, 'redshifts/nmad_bin_2': 0.08415567874908447, 'redshifts/nmad_bin_3': 0.06876721978187561, 'redshifts/nmad_bin_4': 0.059260040521621704, 'redshifts/nmad_bin_5': 0.03502166271209717, 'redshifts/outlier_fraction': 0.3279551565647125, 'redshifts/outlier_fraction_bin_0': 0.4904189109802246, 'redshifts/outlier_fraction_bin_1': 0.35421252250671387, 'redshifts/outlier_fraction_bin_2': 0.25457170605659485, 'redshifts/outlier_fraction_bin_3': 0.19217081367969513, 'redshifts/outlier_fraction_bin_4': 0.17525772750377655, 'redshifts/outlier_fraction_bin_5': 0.09410319477319717, 'redshifts/outlier_fraction_cata': 0.0885205939412117, 'redshifts/outlier_fraction_cata_bin_0': 0.13017047941684723, 'redshifts/outlier_fraction_cata_bin_1': 0.10066039860248566, 'redshifts/outlier_fraction_cata_bin_2': 0.0736284926533699, 'redshifts/outlier_fraction_cata_bin_3': 0.05782918259501457, 'redshifts/outlier_fraction_cata_bin_4': 0.057437408715486526, 'redshifts/outlier_fraction_cata_bin_5': 0.01744471676647663}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 84%|████████▍ | 322/383 [14:37:24<2:37:59, 155.41s/it]" + " 20%|██ | 317/1563 [28:20<1:55:07, 5.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([62481.])\n", - "{'redshifts/mse': 0.2842971086502075}\n" + "total num of pts: tensor([20590.])\n", + "total num of pts: tensor([7588., 5016., 2093., 1129., 682., 4082.])\n", + "{'redshifts/bias_abs': 0.07601064443588257, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05780387669801712, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04002777114510536, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004060894250869751, 'redshifts/bias_bin_0': 0.032268814742565155, 'redshifts/bias_bin_1': 0.009329437278211117, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.001303885830566287, 'redshifts/mse': 0.3104713559150696, 'redshifts/mse_bin_0': 0.43601712584495544, 'redshifts/mse_bin_1': 0.3659569025039673, 'redshifts/mse_bin_2': 0.26458483934402466, 'redshifts/mse_bin_3': 0.21186454594135284, 'redshifts/mse_bin_4': 0.23272258043289185, 'redshifts/mse_bin_5': 0.0727059543132782, 'redshifts/nmad': 0.1126990094780922, 'redshifts/nmad_bin_0': 0.21523548662662506, 'redshifts/nmad_bin_1': 0.13466274738311768, 'redshifts/nmad_bin_2': 0.08479611575603485, 'redshifts/nmad_bin_3': 0.06889409571886063, 'redshifts/nmad_bin_4': 0.05915050953626633, 'redshifts/nmad_bin_5': 0.03492404520511627, 'redshifts/outlier_fraction': 0.32787761092185974, 'redshifts/outlier_fraction_bin_0': 0.49037954211235046, 'redshifts/outlier_fraction_bin_1': 0.35386762022972107, 'redshifts/outlier_fraction_bin_2': 0.25609174370765686, 'redshifts/outlier_fraction_bin_3': 0.1922054886817932, 'redshifts/outlier_fraction_bin_4': 0.17448680102825165, 'redshifts/outlier_fraction_bin_5': 0.09382655471563339, 'redshifts/outlier_fraction_cata': 0.08853812515735626, 'redshifts/outlier_fraction_cata_bin_0': 0.13033737242221832, 'redshifts/outlier_fraction_cata_bin_1': 0.10047847032546997, 'redshifts/outlier_fraction_cata_bin_2': 0.0735785961151123, 'redshifts/outlier_fraction_cata_bin_3': 0.05845881253480911, 'redshifts/outlier_fraction_cata_bin_4': 0.05718475207686424, 'redshifts/outlier_fraction_cata_bin_5': 0.017393434420228004}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 84%|████████▍ | 323/383 [14:39:59<2:35:21, 155.36s/it]" + " 20%|██ | 318/1563 [28:26<1:57:54, 5.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([62687.])\n", - "{'redshifts/mse': 0.284268856048584}\n" + "total num of pts: tensor([20662.])\n", + "total num of pts: tensor([7615., 5030., 2102., 1132., 685., 4098.])\n", + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.14541053771972656, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004080861806869507, 'redshifts/bias_bin_0': 0.03242800384759903, 'redshifts/bias_bin_1': 0.009386750869452953, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0013640722027048469, 'redshifts/mse': 0.31054648756980896, 'redshifts/mse_bin_0': 0.43637028336524963, 'redshifts/mse_bin_1': 0.36553093791007996, 'redshifts/mse_bin_2': 0.26353901624679565, 'redshifts/mse_bin_3': 0.21463273465633392, 'redshifts/mse_bin_4': 0.23181599378585815, 'redshifts/mse_bin_5': 0.07301624864339828, 'redshifts/nmad': 0.11275044083595276, 'redshifts/nmad_bin_0': 0.2149994969367981, 'redshifts/nmad_bin_1': 0.1348283290863037, 'redshifts/nmad_bin_2': 0.0848061740398407, 'redshifts/nmad_bin_3': 0.06950097531080246, 'redshifts/nmad_bin_4': 0.05961659550666809, 'redshifts/nmad_bin_5': 0.03501327708363533, 'redshifts/outlier_fraction': 0.32809022068977356, 'redshifts/outlier_fraction_bin_0': 0.49047932028770447, 'redshifts/outlier_fraction_bin_1': 0.35427436232566833, 'redshifts/outlier_fraction_bin_2': 0.25547099113464355, 'redshifts/outlier_fraction_bin_3': 0.19346289336681366, 'redshifts/outlier_fraction_bin_4': 0.17518247663974762, 'redshifts/outlier_fraction_bin_5': 0.09419228881597519, 'redshifts/outlier_fraction_cata': 0.08856838941574097, 'redshifts/outlier_fraction_cata_bin_0': 0.13040052354335785, 'redshifts/outlier_fraction_cata_bin_1': 0.10019880533218384, 'redshifts/outlier_fraction_cata_bin_2': 0.07326355576515198, 'redshifts/outlier_fraction_cata_bin_3': 0.060070671141147614, 'redshifts/outlier_fraction_cata_bin_4': 0.056934308260679245, 'redshifts/outlier_fraction_cata_bin_5': 0.017569545656442642}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 85%|████████▍ | 324/383 [14:42:36<2:33:06, 155.71s/it]" + " 20%|██ | 319/1563 [28:32<2:01:43, 5.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([62851.])\n", - "{'redshifts/mse': 0.2846909463405609}\n" + "total num of pts: tensor([20729.])\n", + "total num of pts: tensor([7641., 5046., 2108., 1138., 687., 4109.])\n", + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.02365754544734955, 'redshifts/bias': 0.00409969687461853, 'redshifts/bias_bin_0': 0.03247029334306717, 'redshifts/bias_bin_1': 0.009386750869452953, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0013025092193856835, 'redshifts/mse': 0.3099774420261383, 'redshifts/mse_bin_0': 0.4355154037475586, 'redshifts/mse_bin_1': 0.3649069368839264, 'redshifts/mse_bin_2': 0.26320385932922363, 'redshifts/mse_bin_3': 0.213524729013443, 'redshifts/mse_bin_4': 0.2319558709859848, 'redshifts/mse_bin_5': 0.07282962650060654, 'redshifts/nmad': 0.11270035058259964, 'redshifts/nmad_bin_0': 0.21456624567508698, 'redshifts/nmad_bin_1': 0.1348283290863037, 'redshifts/nmad_bin_2': 0.0848061740398407, 'redshifts/nmad_bin_3': 0.06862860172986984, 'redshifts/nmad_bin_4': 0.05961659550666809, 'redshifts/nmad_bin_5': 0.03499294072389603, 'redshifts/outlier_fraction': 0.32765689492225647, 'redshifts/outlier_fraction_bin_0': 0.4897264838218689, 'redshifts/outlier_fraction_bin_1': 0.35394370555877686, 'redshifts/outlier_fraction_bin_2': 0.2552182078361511, 'redshifts/outlier_fraction_bin_3': 0.1924428790807724, 'redshifts/outlier_fraction_bin_4': 0.176128089427948, 'redshifts/outlier_fraction_bin_5': 0.0939401313662529, 'redshifts/outlier_fraction_cata': 0.08833035826683044, 'redshifts/outlier_fraction_cata_bin_0': 0.1300876885652542, 'redshifts/outlier_fraction_cata_bin_1': 0.09988109022378922, 'redshifts/outlier_fraction_cata_bin_2': 0.07305502891540527, 'redshifts/outlier_fraction_cata_bin_3': 0.05975395441055298, 'redshifts/outlier_fraction_cata_bin_4': 0.05676855891942978, 'redshifts/outlier_fraction_cata_bin_5': 0.01752251200377941}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 85%|████████▍ | 325/383 [14:45:10<2:29:59, 155.17s/it]" + " 20%|██ | 320/1563 [28:36<1:51:41, 5.39s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([63021.])\n", - "{'redshifts/mse': 0.284566193819046}\n" + "total num of pts: tensor([20803.])\n", + "total num of pts: tensor([7664., 5064., 2115., 1148., 688., 4124.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04009990394115448, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004111464135348797, 'redshifts/bias_bin_0': 0.03257489576935768, 'redshifts/bias_bin_1': 0.009409860707819462, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.001303885830566287, 'redshifts/mse': 0.3098839819431305, 'redshifts/mse_bin_0': 0.4348738193511963, 'redshifts/mse_bin_1': 0.36582842469215393, 'redshifts/mse_bin_2': 0.2642562687397003, 'redshifts/mse_bin_3': 0.2121034562587738, 'redshifts/mse_bin_4': 0.2316531091928482, 'redshifts/mse_bin_5': 0.07258018851280212, 'redshifts/nmad': 0.11257243156433105, 'redshifts/nmad_bin_0': 0.21466462314128876, 'redshifts/nmad_bin_1': 0.13482236862182617, 'redshifts/nmad_bin_2': 0.08471383154392242, 'redshifts/nmad_bin_3': 0.06961442530155182, 'redshifts/nmad_bin_4': 0.05961659550666809, 'redshifts/nmad_bin_5': 0.0348697267472744, 'redshifts/outlier_fraction': 0.32745277881622314, 'redshifts/outlier_fraction_bin_0': 0.4895615875720978, 'redshifts/outlier_fraction_bin_1': 0.3538704514503479, 'redshifts/outlier_fraction_bin_2': 0.25484633445739746, 'redshifts/outlier_fraction_bin_3': 0.19337978959083557, 'redshifts/outlier_fraction_bin_4': 0.1758720874786377, 'redshifts/outlier_fraction_bin_5': 0.09359844774007797, 'redshifts/outlier_fraction_cata': 0.08820842951536179, 'redshifts/outlier_fraction_cata_bin_0': 0.12982776761054993, 'redshifts/outlier_fraction_cata_bin_1': 0.09992101043462753, 'redshifts/outlier_fraction_cata_bin_2': 0.07328604906797409, 'redshifts/outlier_fraction_cata_bin_3': 0.05923344939947128, 'redshifts/outlier_fraction_cata_bin_4': 0.056686047464609146, 'redshifts/outlier_fraction_cata_bin_5': 0.017458777874708176}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 85%|████████▌ | 326/383 [14:47:46<2:27:38, 155.42s/it]" + " 21%|██ | 321/1563 [28:41<1:45:59, 5.12s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([63212.])\n", - "{'redshifts/mse': 0.28460973501205444}\n" + "total num of pts: tensor([20876.])\n", + "total num of pts: tensor([7692., 5085., 2123., 1150., 692., 4134.])\n", + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05751139298081398, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04040662944316864, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004100842867046595, 'redshifts/bias_bin_0': 0.032610610127449036, 'redshifts/bias_bin_1': 0.009409860707819462, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0013640722027048469, 'redshifts/mse': 0.30961525440216064, 'redshifts/mse_bin_0': 0.43428245186805725, 'redshifts/mse_bin_1': 0.3652801811695099, 'redshifts/mse_bin_2': 0.2640960216522217, 'redshifts/mse_bin_3': 0.21177883446216583, 'redshifts/mse_bin_4': 0.2307213395833969, 'redshifts/mse_bin_5': 0.07298118621110916, 'redshifts/nmad': 0.112774558365345, 'redshifts/nmad_bin_0': 0.21465618908405304, 'redshifts/nmad_bin_1': 0.13513515889644623, 'redshifts/nmad_bin_2': 0.08446381986141205, 'redshifts/nmad_bin_3': 0.06969785690307617, 'redshifts/nmad_bin_4': 0.05937112122774124, 'redshifts/nmad_bin_5': 0.034958962351083755, 'redshifts/outlier_fraction': 0.3277926743030548, 'redshifts/outlier_fraction_bin_0': 0.48985958099365234, 'redshifts/outlier_fraction_bin_1': 0.35437560081481934, 'redshifts/outlier_fraction_bin_2': 0.2548280656337738, 'redshifts/outlier_fraction_bin_3': 0.19304348528385162, 'redshifts/outlier_fraction_bin_4': 0.17630058526992798, 'redshifts/outlier_fraction_bin_5': 0.0938558280467987, 'redshifts/outlier_fraction_cata': 0.08813948929309845, 'redshifts/outlier_fraction_cata_bin_0': 0.1296151876449585, 'redshifts/outlier_fraction_cata_bin_1': 0.09970501810312271, 'redshifts/outlier_fraction_cata_bin_2': 0.07348092645406723, 'redshifts/outlier_fraction_cata_bin_3': 0.059130433946847916, 'redshifts/outlier_fraction_cata_bin_4': 0.05635838210582733, 'redshifts/outlier_fraction_cata_bin_5': 0.01765844225883484}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 85%|████████▌ | 327/383 [14:50:23<2:25:34, 155.97s/it]" + " 21%|██ | 322/1563 [28:45<1:41:53, 4.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([63403.])\n", - "{'redshifts/mse': 0.2847566306591034}\n" + "total num of pts: tensor([20932.])\n", + "total num of pts: tensor([7719., 5098., 2125., 1152., 693., 4145.])\n", + "{'redshifts/bias_abs': 0.07601064443588257, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.040538057684898376, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004117883741855621, 'redshifts/bias_bin_0': 0.03257489576935768, 'redshifts/bias_bin_1': 0.009474060498178005, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0013025092193856835, 'redshifts/mse': 0.3094758689403534, 'redshifts/mse_bin_0': 0.43413156270980835, 'redshifts/mse_bin_1': 0.36507484316825867, 'redshifts/mse_bin_2': 0.2638486921787262, 'redshifts/mse_bin_3': 0.2114158719778061, 'redshifts/mse_bin_4': 0.23044706881046295, 'redshifts/mse_bin_5': 0.07281376421451569, 'redshifts/nmad': 0.11276952177286148, 'redshifts/nmad_bin_0': 0.2145152986049652, 'redshifts/nmad_bin_1': 0.1350499838590622, 'redshifts/nmad_bin_2': 0.08432422578334808, 'redshifts/nmad_bin_3': 0.06961442530155182, 'redshifts/nmad_bin_4': 0.059518780559301376, 'redshifts/nmad_bin_5': 0.03485944867134094, 'redshifts/outlier_fraction': 0.32772788405418396, 'redshifts/outlier_fraction_bin_0': 0.4895711839199066, 'redshifts/outlier_fraction_bin_1': 0.3544527292251587, 'redshifts/outlier_fraction_bin_2': 0.25458824634552, 'redshifts/outlier_fraction_bin_3': 0.1927083283662796, 'redshifts/outlier_fraction_bin_4': 0.17604617774486542, 'redshifts/outlier_fraction_bin_5': 0.09384801238775253, 'redshifts/outlier_fraction_cata': 0.0880947858095169, 'redshifts/outlier_fraction_cata_bin_0': 0.12955045700073242, 'redshifts/outlier_fraction_cata_bin_1': 0.0996469184756279, 'redshifts/outlier_fraction_cata_bin_2': 0.07341176271438599, 'redshifts/outlier_fraction_cata_bin_3': 0.0590277761220932, 'redshifts/outlier_fraction_cata_bin_4': 0.05627705529332161, 'redshifts/outlier_fraction_cata_bin_5': 0.017611579969525337}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 86%|████████▌ | 328/383 [14:52:56<2:22:07, 155.05s/it]" + " 21%|██ | 323/1563 [28:50<1:41:47, 4.93s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([63591.])\n", - "{'redshifts/mse': 0.285031795501709}\n" + "total num of pts: tensor([20981.])\n", + "total num of pts: tensor([7738., 5115., 2130., 1152., 693., 4153.])\n", + "{'redshifts/bias_abs': 0.07607142627239227, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.040538057684898376, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004135986790060997, 'redshifts/bias_bin_0': 0.032610610127449036, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0013025092193856835, 'redshifts/mse': 0.30964311957359314, 'redshifts/mse_bin_0': 0.4340190589427948, 'redshifts/mse_bin_1': 0.36443060636520386, 'redshifts/mse_bin_2': 0.2671385109424591, 'redshifts/mse_bin_3': 0.2114158719778061, 'redshifts/mse_bin_4': 0.23044706881046295, 'redshifts/mse_bin_5': 0.07268757373094559, 'redshifts/nmad': 0.11279815435409546, 'redshifts/nmad_bin_0': 0.2141444981098175, 'redshifts/nmad_bin_1': 0.13520237803459167, 'redshifts/nmad_bin_2': 0.0843518078327179, 'redshifts/nmad_bin_3': 0.06961442530155182, 'redshifts/nmad_bin_4': 0.059518780559301376, 'redshifts/nmad_bin_5': 0.034922003746032715, 'redshifts/outlier_fraction': 0.3279157280921936, 'redshifts/outlier_fraction_bin_0': 0.48966142535209656, 'redshifts/outlier_fraction_bin_1': 0.35464319586753845, 'redshifts/outlier_fraction_bin_2': 0.25539904832839966, 'redshifts/outlier_fraction_bin_3': 0.1927083283662796, 'redshifts/outlier_fraction_bin_4': 0.17604617774486542, 'redshifts/outlier_fraction_bin_5': 0.09366723150014877, 'redshifts/outlier_fraction_cata': 0.08803202956914902, 'redshifts/outlier_fraction_cata_bin_0': 0.12949082255363464, 'redshifts/outlier_fraction_cata_bin_1': 0.09931574016809464, 'redshifts/outlier_fraction_cata_bin_2': 0.0737089216709137, 'redshifts/outlier_fraction_cata_bin_3': 0.0590277761220932, 'redshifts/outlier_fraction_cata_bin_4': 0.05627705529332161, 'redshifts/outlier_fraction_cata_bin_5': 0.017577655613422394}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 86%|████████▌ | 329/383 [14:55:31<2:19:36, 155.12s/it]" + " 21%|██ | 324/1563 [28:57<1:54:25, 5.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([63777.])\n", - "{'redshifts/mse': 0.28508737683296204}\n" + "total num of pts: tensor([21059.])\n", + "total num of pts: tensor([7761., 5136., 2136., 1157., 695., 4174.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.05751139298081398, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.040538057684898376, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004135986790060997, 'redshifts/bias_bin_0': 0.03280651569366455, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.001303885830566287, 'redshifts/mse': 0.30946028232574463, 'redshifts/mse_bin_0': 0.43423646688461304, 'redshifts/mse_bin_1': 0.36405622959136963, 'redshifts/mse_bin_2': 0.2669605314731598, 'redshifts/mse_bin_3': 0.21053333580493927, 'redshifts/mse_bin_4': 0.23146575689315796, 'redshifts/mse_bin_5': 0.07243532687425613, 'redshifts/nmad': 0.11275415867567062, 'redshifts/nmad_bin_0': 0.21436573565006256, 'redshifts/nmad_bin_1': 0.1352444291114807, 'redshifts/nmad_bin_2': 0.0845581591129303, 'redshifts/nmad_bin_3': 0.06890372931957245, 'redshifts/nmad_bin_4': 0.0598037950694561, 'redshifts/nmad_bin_5': 0.03502166271209717, 'redshifts/outlier_fraction': 0.32774585485458374, 'redshifts/outlier_fraction_bin_0': 0.4894987642765045, 'redshifts/outlier_fraction_bin_1': 0.35494548082351685, 'redshifts/outlier_fraction_bin_2': 0.25514981150627136, 'redshifts/outlier_fraction_bin_3': 0.19187554717063904, 'redshifts/outlier_fraction_bin_4': 0.17697842419147491, 'redshifts/outlier_fraction_bin_5': 0.09343555569648743, 'redshifts/outlier_fraction_cata': 0.08799088001251221, 'redshifts/outlier_fraction_cata_bin_0': 0.1294936239719391, 'redshifts/outlier_fraction_cata_bin_1': 0.09910435974597931, 'redshifts/outlier_fraction_cata_bin_2': 0.07397003471851349, 'redshifts/outlier_fraction_cata_bin_3': 0.05877268686890602, 'redshifts/outlier_fraction_cata_bin_4': 0.057553958147764206, 'redshifts/outlier_fraction_cata_bin_5': 0.017489219084382057}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 86%|████████▌ | 330/383 [14:58:07<2:17:17, 155.42s/it]" + " 21%|██ | 325/1563 [29:01<1:43:44, 5.03s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([63958.])\n", - "{'redshifts/mse': 0.2851140797138214}\n" + "total num of pts: tensor([21124.])\n", + "total num of pts: tensor([7781., 5153., 2143., 1160., 698., 4189.])\n", + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004165236372500658, 'redshifts/bias_bin_0': 0.03280651569366455, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.0013025092193856835, 'redshifts/mse': 0.30904316902160645, 'redshifts/mse_bin_0': 0.4336875379085541, 'redshifts/mse_bin_1': 0.3635334074497223, 'redshifts/mse_bin_2': 0.2663518190383911, 'redshifts/mse_bin_3': 0.21183063089847565, 'redshifts/mse_bin_4': 0.23139402270317078, 'redshifts/mse_bin_5': 0.0721883699297905, 'redshifts/nmad': 0.11261989176273346, 'redshifts/nmad_bin_0': 0.21433062851428986, 'redshifts/nmad_bin_1': 0.13521574437618256, 'redshifts/nmad_bin_2': 0.08458375185728073, 'redshifts/nmad_bin_3': 0.06890372931957245, 'redshifts/nmad_bin_4': 0.06017298623919487, 'redshifts/nmad_bin_5': 0.03486768528819084, 'redshifts/outlier_fraction': 0.3275894820690155, 'redshifts/outlier_fraction_bin_0': 0.4892687201499939, 'redshifts/outlier_fraction_bin_1': 0.3547448217868805, 'redshifts/outlier_fraction_bin_2': 0.2557162940502167, 'redshifts/outlier_fraction_bin_3': 0.1922413855791092, 'redshifts/outlier_fraction_bin_4': 0.17765043675899506, 'redshifts/outlier_fraction_bin_5': 0.09310097992420197, 'redshifts/outlier_fraction_cata': 0.08786214888095856, 'redshifts/outlier_fraction_cata_bin_0': 0.12928929924964905, 'redshifts/outlier_fraction_cata_bin_1': 0.09897147119045258, 'redshifts/outlier_fraction_cata_bin_2': 0.07372841984033585, 'redshifts/outlier_fraction_cata_bin_3': 0.05948275700211525, 'redshifts/outlier_fraction_cata_bin_4': 0.05730659142136574, 'redshifts/outlier_fraction_cata_bin_5': 0.017426593229174614}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 86%|████████▋ | 331/383 [15:00:40<2:13:51, 154.46s/it]" + " 21%|██ | 326/1563 [29:07<1:48:31, 5.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([64139.])\n", - "{'redshifts/mse': 0.2854297459125519}\n" + "total num of pts: tensor([21173.])\n", + "total num of pts: tensor([7800., 5160., 2148., 1162., 700., 4203.])\n", + "{'redshifts/bias_abs': 0.07600503414869308, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.057665884494781494, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004166455008089542, 'redshifts/bias_bin_0': 0.03264763578772545, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.004029902163892984, 'redshifts/bias_bin_3': -0.006676502991467714, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0013025092193856835, 'redshifts/mse': 0.3093903064727783, 'redshifts/mse_bin_0': 0.43463951349258423, 'redshifts/mse_bin_1': 0.36332905292510986, 'redshifts/mse_bin_2': 0.2669661343097687, 'redshifts/mse_bin_3': 0.2115066647529602, 'redshifts/mse_bin_4': 0.23410086333751678, 'redshifts/mse_bin_5': 0.07201433181762695, 'redshifts/nmad': 0.11267998814582825, 'redshifts/nmad_bin_0': 0.21435172855854034, 'redshifts/nmad_bin_1': 0.135141983628273, 'redshifts/nmad_bin_2': 0.0847107321023941, 'redshifts/nmad_bin_3': 0.06890372931957245, 'redshifts/nmad_bin_4': 0.059951454401016235, 'redshifts/nmad_bin_5': 0.03485944867134094, 'redshifts/outlier_fraction': 0.3275870084762573, 'redshifts/outlier_fraction_bin_0': 0.48923078179359436, 'redshifts/outlier_fraction_bin_1': 0.35445737838745117, 'redshifts/outlier_fraction_bin_2': 0.2565176784992218, 'redshifts/outlier_fraction_bin_3': 0.1919105052947998, 'redshifts/outlier_fraction_bin_4': 0.1785714328289032, 'redshifts/outlier_fraction_bin_5': 0.09326671063899994, 'redshifts/outlier_fraction_cata': 0.08803664892911911, 'redshifts/outlier_fraction_cata_bin_0': 0.12961538136005402, 'redshifts/outlier_fraction_cata_bin_1': 0.0990310087800026, 'redshifts/outlier_fraction_cata_bin_2': 0.07402234524488449, 'redshifts/outlier_fraction_cata_bin_3': 0.05938037857413292, 'redshifts/outlier_fraction_cata_bin_4': 0.058571428060531616, 'redshifts/outlier_fraction_cata_bin_5': 0.01736854575574398}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 87%|████████▋ | 332/383 [15:03:16<2:11:44, 154.99s/it]" + " 21%|██ | 327/1563 [29:12<1:49:00, 5.29s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([64360.])\n", - "{'redshifts/mse': 0.2851499319076538}\n" + "total num of pts: tensor([21236.])\n", + "total num of pts: tensor([7827., 5182., 2150., 1163., 701., 4213.])\n", + "{'redshifts/bias_abs': 0.07599033415317535, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.057614441961050034, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.03268854692578316, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0012845878954976797, 'redshifts/mse': 0.30946511030197144, 'redshifts/mse_bin_0': 0.4339488744735718, 'redshifts/mse_bin_1': 0.3645981252193451, 'redshifts/mse_bin_2': 0.2667188048362732, 'redshifts/mse_bin_3': 0.21145357191562653, 'redshifts/mse_bin_4': 0.2337915301322937, 'redshifts/mse_bin_5': 0.07184623181819916, 'redshifts/nmad': 0.11261680722236633, 'redshifts/nmad_bin_0': 0.2138759195804596, 'redshifts/nmad_bin_1': 0.13523438572883606, 'redshifts/nmad_bin_2': 0.08458375185728073, 'redshifts/nmad_bin_3': 0.06960479170084, 'redshifts/nmad_bin_4': 0.0604560412466526, 'redshifts/nmad_bin_5': 0.03483287990093231, 'redshifts/outlier_fraction': 0.3274627923965454, 'redshifts/outlier_fraction_bin_0': 0.48830971121788025, 'redshifts/outlier_fraction_bin_1': 0.35507526993751526, 'redshifts/outlier_fraction_bin_2': 0.2562790811061859, 'redshifts/outlier_fraction_bin_3': 0.19260533154010773, 'redshifts/outlier_fraction_bin_4': 0.17831669747829437, 'redshifts/outlier_fraction_bin_5': 0.09304533898830414, 'redshifts/outlier_fraction_cata': 0.08810510486364365, 'redshifts/outlier_fraction_cata_bin_0': 0.12942378222942352, 'redshifts/outlier_fraction_cata_bin_1': 0.0995754525065422, 'redshifts/outlier_fraction_cata_bin_2': 0.07395348697900772, 'redshifts/outlier_fraction_cata_bin_3': 0.0593293197453022, 'redshifts/outlier_fraction_cata_bin_4': 0.058487873524427414, 'redshifts/outlier_fraction_cata_bin_5': 0.01732731983065605}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 87%|████████▋ | 333/383 [15:05:52<2:09:19, 155.19s/it]" + " 21%|██ | 328/1563 [29:17<1:48:33, 5.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([64568.])\n", - "{'redshifts/mse': 0.28523755073547363}\n" + "total num of pts: tensor([21315.])\n", + "total num of pts: tensor([7856., 5202., 2160., 1168., 704., 4225.])\n", + "{'redshifts/bias_abs': 0.07598108798265457, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004201077856123447, 'redshifts/bias_bin_0': 0.03264763578772545, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.3095114231109619, 'redshifts/mse_bin_0': 0.43428781628608704, 'redshifts/mse_bin_1': 0.36423078179359436, 'redshifts/mse_bin_2': 0.2655704915523529, 'redshifts/mse_bin_3': 0.21072065830230713, 'redshifts/mse_bin_4': 0.23878870904445648, 'redshifts/mse_bin_5': 0.07168912887573242, 'redshifts/nmad': 0.11257524788379669, 'redshifts/nmad_bin_0': 0.21393656730651855, 'redshifts/nmad_bin_1': 0.13512104749679565, 'redshifts/nmad_bin_2': 0.08446381986141205, 'redshifts/nmad_bin_3': 0.06879027932882309, 'redshifts/nmad_bin_4': 0.05966431647539139, 'redshifts/nmad_bin_5': 0.034802865236997604, 'redshifts/outlier_fraction': 0.32709360122680664, 'redshifts/outlier_fraction_bin_0': 0.4879073202610016, 'redshifts/outlier_fraction_bin_1': 0.3542868196964264, 'redshifts/outlier_fraction_bin_2': 0.255092591047287, 'redshifts/outlier_fraction_bin_3': 0.19263698160648346, 'redshifts/outlier_fraction_bin_4': 0.17897726595401764, 'redshifts/outlier_fraction_bin_5': 0.0932544395327568, 'redshifts/outlier_fraction_cata': 0.0881538838148117, 'redshifts/outlier_fraction_cata_bin_0': 0.129582479596138, 'redshifts/outlier_fraction_cata_bin_1': 0.09957708418369293, 'redshifts/outlier_fraction_cata_bin_2': 0.07361111044883728, 'redshifts/outlier_fraction_cata_bin_3': 0.05907534062862396, 'redshifts/outlier_fraction_cata_bin_4': 0.059659089893102646, 'redshifts/outlier_fraction_cata_bin_5': 0.01727810688316822}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 87%|████████▋ | 334/383 [15:08:26<2:06:36, 155.03s/it]" + " 21%|██ | 329/1563 [29:21<1:39:53, 4.86s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([64778.])\n", - "{'redshifts/mse': 0.28547948598861694}\n" + "total num of pts: tensor([21371.])\n", + "total num of pts: tensor([7878., 5217., 2160., 1172., 706., 4238.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004201077856123447, 'redshifts/bias_bin_0': 0.03257489576935768, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0012639437336474657, 'redshifts/mse': 0.3096274733543396, 'redshifts/mse_bin_0': 0.4344996213912964, 'redshifts/mse_bin_1': 0.36471638083457947, 'redshifts/mse_bin_2': 0.2655704915523529, 'redshifts/mse_bin_3': 0.21006903052330017, 'redshifts/mse_bin_4': 0.23852835595607758, 'redshifts/mse_bin_5': 0.07152149081230164, 'redshifts/nmad': 0.11265435069799423, 'redshifts/nmad_bin_0': 0.21402399241924286, 'redshifts/nmad_bin_1': 0.13512104749679565, 'redshifts/nmad_bin_2': 0.08446381986141205, 'redshifts/nmad_bin_3': 0.06958440691232681, 'redshifts/nmad_bin_4': 0.06133139505982399, 'redshifts/nmad_bin_5': 0.03481050953269005, 'redshifts/outlier_fraction': 0.32717233896255493, 'redshifts/outlier_fraction_bin_0': 0.4880680441856384, 'redshifts/outlier_fraction_bin_1': 0.35441824793815613, 'redshifts/outlier_fraction_bin_2': 0.255092591047287, 'redshifts/outlier_fraction_bin_3': 0.1919795274734497, 'redshifts/outlier_fraction_bin_4': 0.17988668382167816, 'redshifts/outlier_fraction_bin_5': 0.09320434182882309, 'redshifts/outlier_fraction_cata': 0.08815684914588928, 'redshifts/outlier_fraction_cata_bin_0': 0.12960141897201538, 'redshifts/outlier_fraction_cata_bin_1': 0.09967414289712906, 'redshifts/outlier_fraction_cata_bin_2': 0.07361111044883728, 'redshifts/outlier_fraction_cata_bin_3': 0.05887372046709061, 'redshifts/outlier_fraction_cata_bin_4': 0.059490084648132324, 'redshifts/outlier_fraction_cata_bin_5': 0.017225105315446854}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 87%|████████▋ | 335/383 [15:11:00<2:03:44, 154.68s/it]" + " 21%|██ | 330/1563 [29:26<1:42:12, 4.97s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([64981.])\n", - "{'redshifts/mse': 0.2853909730911255}\n" + "total num of pts: tensor([21439.])\n", + "total num of pts: tensor([7902., 5232., 2168., 1178., 710., 4249.])\n", + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004256457556039095, 'redshifts/bias_bin_0': 0.03257489576935768, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.3090965151786804, 'redshifts/mse_bin_0': 0.4342283606529236, 'redshifts/mse_bin_1': 0.3637097179889679, 'redshifts/mse_bin_2': 0.26471081376075745, 'redshifts/mse_bin_3': 0.2091892510652542, 'redshifts/mse_bin_4': 0.23732486367225647, 'redshifts/mse_bin_5': 0.07147707045078278, 'redshifts/nmad': 0.11235745996236801, 'redshifts/nmad_bin_0': 0.21409153938293457, 'redshifts/nmad_bin_1': 0.13488179445266724, 'redshifts/nmad_bin_2': 0.08446381986141205, 'redshifts/nmad_bin_3': 0.06954960525035858, 'redshifts/nmad_bin_4': 0.06133139505982399, 'redshifts/nmad_bin_5': 0.03482513874769211, 'redshifts/outlier_fraction': 0.3269275724887848, 'redshifts/outlier_fraction_bin_0': 0.4883573651313782, 'redshifts/outlier_fraction_bin_1': 0.35340213775634766, 'redshifts/outlier_fraction_bin_2': 0.254612535238266, 'redshifts/outlier_fraction_bin_3': 0.19100169837474823, 'redshifts/outlier_fraction_bin_4': 0.18028168380260468, 'redshifts/outlier_fraction_bin_5': 0.09319839626550674, 'redshifts/outlier_fraction_cata': 0.08797051757574081, 'redshifts/outlier_fraction_cata_bin_0': 0.1294609010219574, 'redshifts/outlier_fraction_cata_bin_1': 0.09938837587833405, 'redshifts/outlier_fraction_cata_bin_2': 0.07333948463201523, 'redshifts/outlier_fraction_cata_bin_3': 0.058573853224515915, 'redshifts/outlier_fraction_cata_bin_4': 0.0591549277305603, 'redshifts/outlier_fraction_cata_bin_5': 0.017180513590574265}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 88%|████████▊ | 336/383 [15:13:28<1:59:32, 152.61s/it]" + " 21%|██ | 331/1563 [29:31<1:40:18, 4.89s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([65172.])\n", - "{'redshifts/mse': 0.2850951850414276}\n" + "total num of pts: tensor([21518.])\n", + "total num of pts: tensor([7940., 5245., 2180., 1182., 712., 4259.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05739159137010574, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004270642064511776, 'redshifts/bias_bin_0': 0.032610610127449036, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.30930569767951965, 'redshifts/mse_bin_0': 0.43484893441200256, 'redshifts/mse_bin_1': 0.3634786009788513, 'redshifts/mse_bin_2': 0.264814168214798, 'redshifts/mse_bin_3': 0.2087392657995224, 'redshifts/mse_bin_4': 0.23684062063694, 'redshifts/mse_bin_5': 0.07134195417165756, 'redshifts/nmad': 0.1125350072979927, 'redshifts/nmad_bin_0': 0.2141444981098175, 'redshifts/nmad_bin_1': 0.13479502499103546, 'redshifts/nmad_bin_2': 0.08425872772932053, 'redshifts/nmad_bin_3': 0.0695965364575386, 'redshifts/nmad_bin_4': 0.06133139505982399, 'redshifts/nmad_bin_5': 0.03482513874769211, 'redshifts/outlier_fraction': 0.3270750045776367, 'redshifts/outlier_fraction_bin_0': 0.48841309547424316, 'redshifts/outlier_fraction_bin_1': 0.353288859128952, 'redshifts/outlier_fraction_bin_2': 0.2545871436595917, 'redshifts/outlier_fraction_bin_3': 0.1912013590335846, 'redshifts/outlier_fraction_bin_4': 0.18117977678775787, 'redshifts/outlier_fraction_bin_5': 0.09321437031030655, 'redshifts/outlier_fraction_cata': 0.08811227977275848, 'redshifts/outlier_fraction_cata_bin_0': 0.12972292304039001, 'redshifts/outlier_fraction_cata_bin_1': 0.09933269768953323, 'redshifts/outlier_fraction_cata_bin_2': 0.07385320961475372, 'redshifts/outlier_fraction_cata_bin_3': 0.058375634253025055, 'redshifts/outlier_fraction_cata_bin_4': 0.05898876488208771, 'redshifts/outlier_fraction_cata_bin_5': 0.01714017428457737}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 88%|████████▊ | 337/383 [15:16:03<1:57:32, 153.31s/it]" + " 21%|██ | 332/1563 [29:36<1:38:54, 4.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([65371.])\n", - "{'redshifts/mse': 0.28512924909591675}\n" + "total num of pts: tensor([21573.])\n", + "total num of pts: tensor([7958., 5255., 2187., 1187., 715., 4271.])\n", + "{'redshifts/bias_abs': 0.07598108798265457, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004256457556039095, 'redshifts/bias_bin_0': 0.032566480338573456, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.3096432685852051, 'redshifts/mse_bin_0': 0.43492069840431213, 'redshifts/mse_bin_1': 0.3631872832775116, 'redshifts/mse_bin_2': 0.2651003897190094, 'redshifts/mse_bin_3': 0.21175462007522583, 'redshifts/mse_bin_4': 0.23677410185337067, 'redshifts/mse_bin_5': 0.07255250215530396, 'redshifts/nmad': 0.1125909686088562, 'redshifts/nmad_bin_0': 0.2140790820121765, 'redshifts/nmad_bin_1': 0.134792298078537, 'redshifts/nmad_bin_2': 0.08463756740093231, 'redshifts/nmad_bin_3': 0.06905515491962433, 'redshifts/nmad_bin_4': 0.06088871881365776, 'redshifts/nmad_bin_5': 0.03484181687235832, 'redshifts/outlier_fraction': 0.32716822624206543, 'redshifts/outlier_fraction_bin_0': 0.48843929171562195, 'redshifts/outlier_fraction_bin_1': 0.3531874418258667, 'redshifts/outlier_fraction_bin_2': 0.2560585141181946, 'redshifts/outlier_fraction_bin_3': 0.1912384182214737, 'redshifts/outlier_fraction_bin_4': 0.1818181872367859, 'redshifts/outlier_fraction_bin_5': 0.09318660944700241, 'redshifts/outlier_fraction_cata': 0.08811940997838974, 'redshifts/outlier_fraction_cata_bin_0': 0.1296808272600174, 'redshifts/outlier_fraction_cata_bin_1': 0.09933396428823471, 'redshifts/outlier_fraction_cata_bin_2': 0.07361682504415512, 'redshifts/outlier_fraction_cata_bin_3': 0.05897219851613045, 'redshifts/outlier_fraction_cata_bin_4': 0.058741260319948196, 'redshifts/outlier_fraction_cata_bin_5': 0.017326153814792633}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 88%|████████▊ | 338/383 [15:18:36<1:54:53, 153.20s/it]" + " 21%|██▏ | 333/1563 [29:40<1:36:46, 4.72s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([65552.])\n", - "{'redshifts/mse': 0.28490257263183594}\n" + "total num of pts: tensor([21639.])\n", + "total num of pts: tensor([7978., 5270., 2198., 1192., 718., 4283.])\n", + "{'redshifts/bias_abs': 0.07594108581542969, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05778813362121582, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.00424843467772007, 'redshifts/bias_bin_0': 0.03247029334306717, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.00120342499576509, 'redshifts/mse': 0.3097926676273346, 'redshifts/mse_bin_0': 0.4349951148033142, 'redshifts/mse_bin_1': 0.3626977801322937, 'redshifts/mse_bin_2': 0.2644743323326111, 'redshifts/mse_bin_3': 0.21105735003948212, 'redshifts/mse_bin_4': 0.2426103949546814, 'redshifts/mse_bin_5': 0.07347936928272247, 'redshifts/nmad': 0.1125020831823349, 'redshifts/nmad_bin_0': 0.2141994833946228, 'redshifts/nmad_bin_1': 0.1345861405134201, 'redshifts/nmad_bin_2': 0.08461964130401611, 'redshifts/nmad_bin_3': 0.06897172331809998, 'redshifts/nmad_bin_4': 0.06133139505982399, 'redshifts/nmad_bin_5': 0.034849073737859726, 'redshifts/outlier_fraction': 0.32714080810546875, 'redshifts/outlier_fraction_bin_0': 0.48834294080734253, 'redshifts/outlier_fraction_bin_1': 0.35313093662261963, 'redshifts/outlier_fraction_bin_2': 0.2561419606208801, 'redshifts/outlier_fraction_bin_3': 0.19127516448497772, 'redshifts/outlier_fraction_bin_4': 0.18384401500225067, 'redshifts/outlier_fraction_bin_5': 0.09315899759531021, 'redshifts/outlier_fraction_cata': 0.08812791854143143, 'redshifts/outlier_fraction_cata_bin_0': 0.1298571079969406, 'redshifts/outlier_fraction_cata_bin_1': 0.09905123710632324, 'redshifts/outlier_fraction_cata_bin_2': 0.07324840873479843, 'redshifts/outlier_fraction_cata_bin_3': 0.05872483178973198, 'redshifts/outlier_fraction_cata_bin_4': 0.059888578951358795, 'redshifts/outlier_fraction_cata_bin_5': 0.017511090263724327}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 89%|████████▊ | 339/383 [15:21:09<1:52:15, 153.08s/it]" + " 21%|██▏ | 334/1563 [29:45<1:36:43, 4.72s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([65744.])\n", - "{'redshifts/mse': 0.2845468819141388}\n" + "total num of pts: tensor([21703.])\n", + "total num of pts: tensor([7996., 5291., 2204., 1197., 720., 4295.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.08973637223243713, 'redshifts/bias_abs_bin_2': 0.05780387669801712, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004251072183251381, 'redshifts/bias_bin_0': 0.03242800384759903, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.31009238958358765, 'redshifts/mse_bin_0': 0.4349926710128784, 'redshifts/mse_bin_1': 0.3633076548576355, 'redshifts/mse_bin_2': 0.26421913504600525, 'redshifts/mse_bin_3': 0.2104063779115677, 'redshifts/mse_bin_4': 0.2507191300392151, 'redshifts/mse_bin_5': 0.07328689098358154, 'redshifts/nmad': 0.11236544698476791, 'redshifts/nmad_bin_0': 0.2138737589120865, 'redshifts/nmad_bin_1': 0.1344999372959137, 'redshifts/nmad_bin_2': 0.08474718034267426, 'redshifts/nmad_bin_3': 0.06905515491962433, 'redshifts/nmad_bin_4': 0.06191973388195038, 'redshifts/nmad_bin_5': 0.034867577254772186, 'redshifts/outlier_fraction': 0.3270515501499176, 'redshifts/outlier_fraction_bin_0': 0.48811906576156616, 'redshifts/outlier_fraction_bin_1': 0.3530523478984833, 'redshifts/outlier_fraction_bin_2': 0.25635209679603577, 'redshifts/outlier_fraction_bin_3': 0.19131161272525787, 'redshifts/outlier_fraction_bin_4': 0.18611110746860504, 'redshifts/outlier_fraction_bin_5': 0.09289871901273727, 'redshifts/outlier_fraction_cata': 0.08823665231466293, 'redshifts/outlier_fraction_cata_bin_0': 0.1299399733543396, 'redshifts/outlier_fraction_cata_bin_1': 0.09922509640455246, 'redshifts/outlier_fraction_cata_bin_2': 0.07304900139570236, 'redshifts/outlier_fraction_cata_bin_3': 0.05847953259944916, 'redshifts/outlier_fraction_cata_bin_4': 0.0625, 'redshifts/outlier_fraction_cata_bin_5': 0.017462166026234627}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 89%|████████▉ | 340/383 [15:23:41<1:49:30, 152.79s/it]" + " 21%|██▏ | 335/1563 [29:50<1:40:15, 4.90s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([65958.])\n", - "{'redshifts/mse': 0.2843233644962311}\n" + "total num of pts: tensor([21766.])\n", + "total num of pts: tensor([8012., 5311., 2212., 1202., 722., 4307.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.00424843467772007, 'redshifts/bias_bin_0': 0.03247029334306717, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.3102816939353943, 'redshifts/mse_bin_0': 0.43507620692253113, 'redshifts/mse_bin_1': 0.36371904611587524, 'redshifts/mse_bin_2': 0.2644411027431488, 'redshifts/mse_bin_3': 0.21061164140701294, 'redshifts/mse_bin_4': 0.25003403425216675, 'redshifts/mse_bin_5': 0.07370173931121826, 'redshifts/nmad': 0.11236333847045898, 'redshifts/nmad_bin_0': 0.2138689011335373, 'redshifts/nmad_bin_1': 0.13479678332805634, 'redshifts/nmad_bin_2': 0.08491921424865723, 'redshifts/nmad_bin_3': 0.06954960525035858, 'redshifts/nmad_bin_4': 0.06191973388195038, 'redshifts/nmad_bin_5': 0.034875888377428055, 'redshifts/outlier_fraction': 0.3272075653076172, 'redshifts/outlier_fraction_bin_0': 0.4880179762840271, 'redshifts/outlier_fraction_bin_1': 0.353605717420578, 'redshifts/outlier_fraction_bin_2': 0.2567811906337738, 'redshifts/outlier_fraction_bin_3': 0.19301164150238037, 'redshifts/outlier_fraction_bin_4': 0.1855955719947815, 'redshifts/outlier_fraction_bin_5': 0.09287206828594208, 'redshifts/outlier_fraction_cata': 0.08844068646430969, 'redshifts/outlier_fraction_cata_bin_0': 0.13005492091178894, 'redshifts/outlier_fraction_cata_bin_1': 0.09941630810499191, 'redshifts/outlier_fraction_cata_bin_2': 0.07368896901607513, 'redshifts/outlier_fraction_cata_bin_3': 0.0590682178735733, 'redshifts/outlier_fraction_cata_bin_4': 0.06232687085866928, 'redshifts/outlier_fraction_cata_bin_5': 0.017645692452788353}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 89%|████████▉ | 341/383 [15:26:13<1:46:49, 152.61s/it]" + " 21%|██▏ | 336/1563 [29:57<1:49:59, 5.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([66162.])\n", - "{'redshifts/mse': 0.2843347489833832}\n" + "total num of pts: tensor([21833.])\n", + "total num of pts: tensor([8032., 5327., 2220., 1206., 727., 4321.])\n", + "{'redshifts/bias_abs': 0.07582245022058487, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.0042070746421813965, 'redshifts/bias_bin_0': 0.0323825366795063, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.31006598472595215, 'redshifts/mse_bin_0': 0.43465888500213623, 'redshifts/mse_bin_1': 0.3637348413467407, 'redshifts/mse_bin_2': 0.2638818025588989, 'redshifts/mse_bin_3': 0.20991748571395874, 'redshifts/mse_bin_4': 0.2536824643611908, 'redshifts/mse_bin_5': 0.07347319275140762, 'redshifts/nmad': 0.11229997873306274, 'redshifts/nmad_bin_0': 0.21371155977249146, 'redshifts/nmad_bin_1': 0.1348191499710083, 'redshifts/nmad_bin_2': 0.08480393141508102, 'redshifts/nmad_bin_3': 0.06848996132612228, 'redshifts/nmad_bin_4': 0.06187603995203972, 'redshifts/nmad_bin_5': 0.03484181687235832, 'redshifts/outlier_fraction': 0.3269820809364319, 'redshifts/outlier_fraction_bin_0': 0.4876742959022522, 'redshifts/outlier_fraction_bin_1': 0.35404542088508606, 'redshifts/outlier_fraction_bin_2': 0.25630632042884827, 'redshifts/outlier_fraction_bin_3': 0.19237147271633148, 'redshifts/outlier_fraction_bin_4': 0.1856946349143982, 'redshifts/outlier_fraction_bin_5': 0.09257116168737411, 'redshifts/outlier_fraction_cata': 0.0883982926607132, 'redshifts/outlier_fraction_cata_bin_0': 0.12998007237911224, 'redshifts/outlier_fraction_cata_bin_1': 0.09949314594268799, 'redshifts/outlier_fraction_cata_bin_2': 0.07342342287302017, 'redshifts/outlier_fraction_cata_bin_3': 0.05887230485677719, 'redshifts/outlier_fraction_cata_bin_4': 0.06327372789382935, 'redshifts/outlier_fraction_cata_bin_5': 0.017588520422577858}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 89%|████████▉ | 342/383 [15:28:48<1:44:42, 153.24s/it]" + " 22%|██▏ | 337/1563 [30:06<2:12:28, 6.48s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([66353.])\n", - "{'redshifts/mse': 0.28420376777648926}\n" + "total num of pts: tensor([21887.])\n", + "total num of pts: tensor([8053., 5343., 2226., 1211., 729., 4325.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.0042070746421813965, 'redshifts/bias_bin_0': 0.03242800384759903, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.3105393350124359, 'redshifts/mse_bin_0': 0.4355475902557373, 'redshifts/mse_bin_1': 0.3637577295303345, 'redshifts/mse_bin_2': 0.26512736082077026, 'redshifts/mse_bin_3': 0.2091565728187561, 'redshifts/mse_bin_4': 0.2535071074962616, 'redshifts/mse_bin_5': 0.07340853661298752, 'redshifts/nmad': 0.11244076490402222, 'redshifts/nmad_bin_0': 0.21404090523719788, 'redshifts/nmad_bin_1': 0.13470777869224548, 'redshifts/nmad_bin_2': 0.08492976427078247, 'redshifts/nmad_bin_3': 0.06848996132612228, 'redshifts/nmad_bin_4': 0.06181761249899864, 'redshifts/nmad_bin_5': 0.03481736406683922, 'redshifts/outlier_fraction': 0.3271348178386688, 'redshifts/outlier_fraction_bin_0': 0.4881410598754883, 'redshifts/outlier_fraction_bin_1': 0.3537338674068451, 'redshifts/outlier_fraction_bin_2': 0.25606468319892883, 'redshifts/outlier_fraction_bin_3': 0.19240297377109528, 'redshifts/outlier_fraction_bin_4': 0.18655692040920258, 'redshifts/outlier_fraction_bin_5': 0.09248554706573486, 'redshifts/outlier_fraction_cata': 0.08854570984840393, 'redshifts/outlier_fraction_cata_bin_0': 0.13038618862628937, 'redshifts/outlier_fraction_cata_bin_1': 0.09938237071037292, 'redshifts/outlier_fraction_cata_bin_2': 0.0736747533082962, 'redshifts/outlier_fraction_cata_bin_3': 0.05862923339009285, 'redshifts/outlier_fraction_cata_bin_4': 0.06310013681650162, 'redshifts/outlier_fraction_cata_bin_5': 0.017572253942489624}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 90%|████████▉ | 343/383 [15:31:24<1:42:50, 154.26s/it]" + " 22%|██▏ | 338/1563 [30:11<2:04:28, 6.10s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([66563.])\n", - "{'redshifts/mse': 0.28401434421539307}\n" + "total num of pts: tensor([21967.])\n", + "total num of pts: tensor([8083., 5364., 2234., 1213., 730., 4343.])\n", + "{'redshifts/bias_abs': 0.07589719444513321, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004269473720341921, 'redshifts/bias_bin_0': 0.03257489576935768, 'redshifts/bias_bin_1': 0.010632446967065334, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.3108897805213928, 'redshifts/mse_bin_0': 0.435818076133728, 'redshifts/mse_bin_1': 0.3644423186779022, 'redshifts/mse_bin_2': 0.26597660779953003, 'redshifts/mse_bin_3': 0.21031993627548218, 'redshifts/mse_bin_4': 0.25316375494003296, 'redshifts/mse_bin_5': 0.07313351333141327, 'redshifts/nmad': 0.11233816295862198, 'redshifts/nmad_bin_0': 0.2139967530965805, 'redshifts/nmad_bin_1': 0.1346704363822937, 'redshifts/nmad_bin_2': 0.084975965321064, 'redshifts/nmad_bin_3': 0.06920065730810165, 'redshifts/nmad_bin_4': 0.06181761249899864, 'redshifts/nmad_bin_5': 0.03472861647605896, 'redshifts/outlier_fraction': 0.3270360231399536, 'redshifts/outlier_fraction_bin_0': 0.48793765902519226, 'redshifts/outlier_fraction_bin_1': 0.3540268540382385, 'redshifts/outlier_fraction_bin_2': 0.2555953562259674, 'redshifts/outlier_fraction_bin_3': 0.19291013479232788, 'redshifts/outlier_fraction_bin_4': 0.1863013654947281, 'redshifts/outlier_fraction_bin_5': 0.09210223704576492, 'redshifts/outlier_fraction_cata': 0.08867847174406052, 'redshifts/outlier_fraction_cata_bin_0': 0.1306445598602295, 'redshifts/outlier_fraction_cata_bin_1': 0.09936614334583282, 'redshifts/outlier_fraction_cata_bin_2': 0.07385855168104172, 'redshifts/outlier_fraction_cata_bin_3': 0.059356965124607086, 'redshifts/outlier_fraction_cata_bin_4': 0.06301369518041611, 'redshifts/outlier_fraction_cata_bin_5': 0.017499424517154694}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 90%|████████▉ | 344/383 [15:33:59<1:40:17, 154.29s/it]" + " 22%|██▏ | 339/1563 [30:16<1:57:55, 5.78s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([66757.])\n", - "{'redshifts/mse': 0.28414300084114075}\n" + "total num of pts: tensor([22027.])\n", + "total num of pts: tensor([8102., 5381., 2239., 1216., 734., 4355.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05809900537133217, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023381708189845085, 'redshifts/bias': 0.004284476395696402, 'redshifts/bias_bin_0': 0.03257489576935768, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.001070469617843628, 'redshifts/mse': 0.3109462559223175, 'redshifts/mse_bin_0': 0.4360458254814148, 'redshifts/mse_bin_1': 0.36479565501213074, 'redshifts/mse_bin_2': 0.26594817638397217, 'redshifts/mse_bin_3': 0.20980286598205566, 'redshifts/mse_bin_4': 0.2518787682056427, 'redshifts/mse_bin_5': 0.07300947606563568, 'redshifts/nmad': 0.11241678148508072, 'redshifts/nmad_bin_0': 0.2138231247663498, 'redshifts/nmad_bin_1': 0.134902685880661, 'redshifts/nmad_bin_2': 0.08515112847089767, 'redshifts/nmad_bin_3': 0.0682610273361206, 'redshifts/nmad_bin_4': 0.06181761249899864, 'redshifts/nmad_bin_5': 0.03473883867263794, 'redshifts/outlier_fraction': 0.327098548412323, 'redshifts/outlier_fraction_bin_0': 0.48790422081947327, 'redshifts/outlier_fraction_bin_1': 0.35458093881607056, 'redshifts/outlier_fraction_bin_2': 0.25591781735420227, 'redshifts/outlier_fraction_bin_3': 0.19243420660495758, 'redshifts/outlier_fraction_bin_4': 0.18528610467910767, 'redshifts/outlier_fraction_bin_5': 0.0920780748128891, 'redshifts/outlier_fraction_cata': 0.08875471353530884, 'redshifts/outlier_fraction_cata_bin_0': 0.13083189725875854, 'redshifts/outlier_fraction_cata_bin_1': 0.09942390024662018, 'redshifts/outlier_fraction_cata_bin_2': 0.07414024323225021, 'redshifts/outlier_fraction_cata_bin_3': 0.05921052768826485, 'redshifts/outlier_fraction_cata_bin_4': 0.06267029792070389, 'redshifts/outlier_fraction_cata_bin_5': 0.017451206222176552}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 90%|█████████ | 345/383 [15:36:30<1:37:08, 153.39s/it]" + " 22%|██▏ | 340/1563 [30:22<1:58:10, 5.80s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([66966.])\n", - "{'redshifts/mse': 0.28434136509895325}\n" + "total num of pts: tensor([22113.])\n", + "total num of pts: tensor([8133., 5407., 2247., 1220., 737., 4369.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05809900537133217, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004320843145251274, 'redshifts/bias_bin_0': 0.03280651569366455, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0010925233364105225, 'redshifts/mse': 0.31113550066947937, 'redshifts/mse_bin_0': 0.43732595443725586, 'redshifts/mse_bin_1': 0.36406946182250977, 'redshifts/mse_bin_2': 0.2652396857738495, 'redshifts/mse_bin_3': 0.20958182215690613, 'redshifts/mse_bin_4': 0.2512287199497223, 'redshifts/mse_bin_5': 0.07278863340616226, 'redshifts/nmad': 0.11247070133686066, 'redshifts/nmad_bin_0': 0.21370969712734222, 'redshifts/nmad_bin_1': 0.134590744972229, 'redshifts/nmad_bin_2': 0.0852871984243393, 'redshifts/nmad_bin_3': 0.06813415884971619, 'redshifts/nmad_bin_4': 0.06224067136645317, 'redshifts/nmad_bin_5': 0.03470829874277115, 'redshifts/outlier_fraction': 0.3271830976009369, 'redshifts/outlier_fraction_bin_0': 0.4881347715854645, 'redshifts/outlier_fraction_bin_1': 0.35472536087036133, 'redshifts/outlier_fraction_bin_2': 0.2554517090320587, 'redshifts/outlier_fraction_bin_3': 0.19262294471263885, 'redshifts/outlier_fraction_bin_4': 0.18588873744010925, 'redshifts/outlier_fraction_bin_5': 0.09178301692008972, 'redshifts/outlier_fraction_cata': 0.08877131342887878, 'redshifts/outlier_fraction_cata_bin_0': 0.13107094168663025, 'redshifts/outlier_fraction_cata_bin_1': 0.09931570291519165, 'redshifts/outlier_fraction_cata_bin_2': 0.0738762766122818, 'redshifts/outlier_fraction_cata_bin_3': 0.0590163916349411, 'redshifts/outlier_fraction_cata_bin_4': 0.06241519749164581, 'redshifts/outlier_fraction_cata_bin_5': 0.01739528588950634}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 90%|█████████ | 346/383 [15:39:08<1:35:27, 154.81s/it]" + " 22%|██▏ | 341/1563 [30:27<1:54:11, 5.61s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([67157.])\n", - "{'redshifts/mse': 0.284228652715683}\n" + "total num of pts: tensor([22177.])\n", + "total num of pts: tensor([8163., 5416., 2254., 1224., 738., 4382.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05801570788025856, 'redshifts/bias_abs_bin_3': 0.045525696128606796, 'redshifts/bias_abs_bin_4': 0.04054559767246246, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004318541381508112, 'redshifts/bias_bin_0': 0.03280651569366455, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0010925233364105225, 'redshifts/mse': 0.3114612400531769, 'redshifts/mse_bin_0': 0.43804433941841125, 'redshifts/mse_bin_1': 0.36464232206344604, 'redshifts/mse_bin_2': 0.26490518450737, 'redshifts/mse_bin_3': 0.20909282565116882, 'redshifts/mse_bin_4': 0.2508901059627533, 'redshifts/mse_bin_5': 0.07267089933156967, 'redshifts/nmad': 0.11252040416002274, 'redshifts/nmad_bin_0': 0.21387778222560883, 'redshifts/nmad_bin_1': 0.13488350808620453, 'redshifts/nmad_bin_2': 0.08476510643959045, 'redshifts/nmad_bin_3': 0.06828770041465759, 'redshifts/nmad_bin_4': 0.06170206889510155, 'redshifts/nmad_bin_5': 0.03475695103406906, 'redshifts/outlier_fraction': 0.3273211121559143, 'redshifts/outlier_fraction_bin_0': 0.4883008599281311, 'redshifts/outlier_fraction_bin_1': 0.3548744320869446, 'redshifts/outlier_fraction_bin_2': 0.2551020383834839, 'redshifts/outlier_fraction_bin_3': 0.19281046092510223, 'redshifts/outlier_fraction_bin_4': 0.18563686311244965, 'redshifts/outlier_fraction_bin_5': 0.0919671356678009, 'redshifts/outlier_fraction_cata': 0.08887585997581482, 'redshifts/outlier_fraction_cata_bin_0': 0.13120175898075104, 'redshifts/outlier_fraction_cata_bin_1': 0.09951993823051453, 'redshifts/outlier_fraction_cata_bin_2': 0.07409050315618515, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.06233062222599983, 'redshifts/outlier_fraction_cata_bin_5': 0.017343679443001747}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 91%|█████████ | 347/383 [15:41:41<1:32:33, 154.25s/it]" + " 22%|██▏ | 342/1563 [30:32<1:49:22, 5.38s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([67376.])\n", - "{'redshifts/mse': 0.2841498851776123}\n" + "total num of pts: tensor([22242.])\n", + "total num of pts: tensor([8190., 5434., 2260., 1228., 739., 4391.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.05809900537133217, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023381708189845085, 'redshifts/bias': 0.0042977421544492245, 'redshifts/bias_bin_0': 0.03268854692578316, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.3115743100643158, 'redshifts/mse_bin_0': 0.4372548758983612, 'redshifts/mse_bin_1': 0.3645327687263489, 'redshifts/mse_bin_2': 0.268708735704422, 'redshifts/mse_bin_3': 0.20841257274150848, 'redshifts/mse_bin_4': 0.2521979510784149, 'redshifts/mse_bin_5': 0.07252801209688187, 'redshifts/nmad': 0.11252976208925247, 'redshifts/nmad_bin_0': 0.21370290219783783, 'redshifts/nmad_bin_1': 0.1351279616355896, 'redshifts/nmad_bin_2': 0.08515112847089767, 'redshifts/nmad_bin_3': 0.06799444556236267, 'redshifts/nmad_bin_4': 0.06224067136645317, 'redshifts/nmad_bin_5': 0.034729111939668655, 'redshifts/outlier_fraction': 0.327533483505249, 'redshifts/outlier_fraction_bin_0': 0.4882783889770508, 'redshifts/outlier_fraction_bin_1': 0.3555392026901245, 'redshifts/outlier_fraction_bin_2': 0.25530973076820374, 'redshifts/outlier_fraction_bin_3': 0.19218240678310394, 'redshifts/outlier_fraction_bin_4': 0.18673883378505707, 'redshifts/outlier_fraction_bin_5': 0.09177863597869873, 'redshifts/outlier_fraction_cata': 0.08888588845729828, 'redshifts/outlier_fraction_cata_bin_0': 0.1308913379907608, 'redshifts/outlier_fraction_cata_bin_1': 0.09955833852291107, 'redshifts/outlier_fraction_cata_bin_2': 0.07477875798940659, 'redshifts/outlier_fraction_cata_bin_3': 0.05863192304968834, 'redshifts/outlier_fraction_cata_bin_4': 0.06359945982694626, 'redshifts/outlier_fraction_cata_bin_5': 0.017308130860328674}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 91%|█████████ | 348/383 [15:44:15<1:29:53, 154.09s/it]" + " 22%|██▏ | 343/1563 [30:36<1:39:03, 4.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([67579.])\n", - "{'redshifts/mse': 0.2839873731136322}\n" + "total num of pts: tensor([22314.])\n", + "total num of pts: tensor([8216., 5449., 2269., 1230., 743., 4407.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05816011130809784, 'redshifts/bias_abs_bin_3': 0.04516527056694031, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023381708189845085, 'redshifts/bias': 0.004276425112038851, 'redshifts/bias_bin_0': 0.032610610127449036, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.31152766942977905, 'redshifts/mse_bin_0': 0.43727579712867737, 'redshifts/mse_bin_1': 0.3647506535053253, 'redshifts/mse_bin_2': 0.26864874362945557, 'redshifts/mse_bin_3': 0.20807714760303497, 'redshifts/mse_bin_4': 0.25091826915740967, 'redshifts/mse_bin_5': 0.07245779037475586, 'redshifts/nmad': 0.11258284747600555, 'redshifts/nmad_bin_0': 0.21375302970409393, 'redshifts/nmad_bin_1': 0.13477222621440887, 'redshifts/nmad_bin_2': 0.08555147796869278, 'redshifts/nmad_bin_3': 0.0678720697760582, 'redshifts/nmad_bin_4': 0.06224067136645317, 'redshifts/nmad_bin_5': 0.034729111939668655, 'redshifts/outlier_fraction': 0.3275970220565796, 'redshifts/outlier_fraction_bin_0': 0.48855891823768616, 'redshifts/outlier_fraction_bin_1': 0.35547807812690735, 'redshifts/outlier_fraction_bin_2': 0.25561922788619995, 'redshifts/outlier_fraction_bin_3': 0.19186991453170776, 'redshifts/outlier_fraction_bin_4': 0.18573351204395294, 'redshifts/outlier_fraction_bin_5': 0.09189925342798233, 'redshifts/outlier_fraction_cata': 0.08900242298841476, 'redshifts/outlier_fraction_cata_bin_0': 0.13108569383621216, 'redshifts/outlier_fraction_cata_bin_1': 0.09983482956886292, 'redshifts/outlier_fraction_cata_bin_2': 0.07492287456989288, 'redshifts/outlier_fraction_cata_bin_3': 0.0585365854203701, 'redshifts/outlier_fraction_cata_bin_4': 0.06325706839561462, 'redshifts/outlier_fraction_cata_bin_5': 0.01724529080092907}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 91%|█████████ | 349/383 [15:46:49<1:27:17, 154.06s/it]" + " 22%|██▏ | 344/1563 [30:39<1:31:48, 4.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([67747.])\n", - "{'redshifts/mse': 0.2842117249965668}\n" + "total num of pts: tensor([22377.])\n", + "total num of pts: tensor([8237., 5465., 2273., 1234., 744., 4424.])\n", + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04513324797153473, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.004256457556039095, 'redshifts/bias_bin_0': 0.03257489576935768, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.31136295199394226, 'redshifts/mse_bin_0': 0.4370260238647461, 'redshifts/mse_bin_1': 0.3643382787704468, 'redshifts/mse_bin_2': 0.2693900763988495, 'redshifts/mse_bin_3': 0.20867961645126343, 'redshifts/mse_bin_4': 0.2505964934825897, 'redshifts/mse_bin_5': 0.07237982004880905, 'redshifts/nmad': 0.11268787831068039, 'redshifts/nmad_bin_0': 0.213700070977211, 'redshifts/nmad_bin_1': 0.13499212265014648, 'redshifts/nmad_bin_2': 0.08578277379274368, 'redshifts/nmad_bin_3': 0.06783318519592285, 'redshifts/nmad_bin_4': 0.06242769584059715, 'redshifts/nmad_bin_5': 0.03477249667048454, 'redshifts/outlier_fraction': 0.3276578485965729, 'redshifts/outlier_fraction_bin_0': 0.4884059727191925, 'redshifts/outlier_fraction_bin_1': 0.355718195438385, 'redshifts/outlier_fraction_bin_2': 0.2560492753982544, 'redshifts/outlier_fraction_bin_3': 0.19205833971500397, 'redshifts/outlier_fraction_bin_4': 0.1854838728904724, 'redshifts/outlier_fraction_bin_5': 0.09222423285245895, 'redshifts/outlier_fraction_cata': 0.08897528797388077, 'redshifts/outlier_fraction_cata_bin_0': 0.1309942901134491, 'redshifts/outlier_fraction_cata_bin_1': 0.09972552955150604, 'redshifts/outlier_fraction_cata_bin_2': 0.07523097097873688, 'redshifts/outlier_fraction_cata_bin_3': 0.05915721133351326, 'redshifts/outlier_fraction_cata_bin_4': 0.06317204236984253, 'redshifts/outlier_fraction_cata_bin_5': 0.01717902347445488}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 91%|█████████▏| 350/383 [15:49:22<1:24:38, 153.91s/it]" + " 22%|██▏ | 345/1563 [30:44<1:31:20, 4.50s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([67934.])\n", - "{'redshifts/mse': 0.28411608934402466}\n" + "total num of pts: tensor([22451.])\n", + "total num of pts: tensor([8261., 5483., 2280., 1241., 746., 4440.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.058289311826229095, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.0042060911655426025, 'redshifts/bias_bin_0': 0.032566480338573456, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0012056529521942139, 'redshifts/mse': 0.31109848618507385, 'redshifts/mse_bin_0': 0.43689286708831787, 'redshifts/mse_bin_1': 0.3638707101345062, 'redshifts/mse_bin_2': 0.26862266659736633, 'redshifts/mse_bin_3': 0.21017982065677643, 'redshifts/mse_bin_4': 0.24994586408138275, 'redshifts/mse_bin_5': 0.07217438519001007, 'redshifts/nmad': 0.1126743033528328, 'redshifts/nmad_bin_0': 0.21383558213710785, 'redshifts/nmad_bin_1': 0.1351279616355896, 'redshifts/nmad_bin_2': 0.08562532812356949, 'redshifts/nmad_bin_3': 0.0680939182639122, 'redshifts/nmad_bin_4': 0.062244392931461334, 'redshifts/nmad_bin_5': 0.03480035439133644, 'redshifts/outlier_fraction': 0.3276023268699646, 'redshifts/outlier_fraction_bin_0': 0.4883185923099518, 'redshifts/outlier_fraction_bin_1': 0.35600948333740234, 'redshifts/outlier_fraction_bin_2': 0.25526314973831177, 'redshifts/outlier_fraction_bin_3': 0.19258663058280945, 'redshifts/outlier_fraction_bin_4': 0.18498659133911133, 'redshifts/outlier_fraction_bin_5': 0.09234233945608139, 'redshifts/outlier_fraction_cata': 0.0889047235250473, 'redshifts/outlier_fraction_cata_bin_0': 0.13097688555717468, 'redshifts/outlier_fraction_cata_bin_1': 0.09958051890134811, 'redshifts/outlier_fraction_cata_bin_2': 0.07500000298023224, 'redshifts/outlier_fraction_cata_bin_3': 0.05962933227419853, 'redshifts/outlier_fraction_cata_bin_4': 0.06300268322229385, 'redshifts/outlier_fraction_cata_bin_5': 0.01711711660027504}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 92%|█████████▏| 351/383 [15:51:55<1:21:50, 153.44s/it]" + " 22%|██▏ | 346/1563 [30:49<1:34:32, 4.66s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([68121.])\n", - "{'redshifts/mse': 0.284496933221817}\n" + "total num of pts: tensor([22532.])\n", + "total num of pts: tensor([8291., 5501., 2292., 1244., 747., 4457.])\n", + "{'redshifts/bias_abs': 0.07594108581542969, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.058289311826229095, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004209011793136597, 'redshifts/bias_bin_0': 0.03247029334306717, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.31077152490615845, 'redshifts/mse_bin_0': 0.4366166591644287, 'redshifts/mse_bin_1': 0.3633383810520172, 'redshifts/mse_bin_2': 0.26858949661254883, 'redshifts/mse_bin_3': 0.20974713563919067, 'redshifts/mse_bin_4': 0.24961838126182556, 'redshifts/mse_bin_5': 0.07193243503570557, 'redshifts/nmad': 0.11266130954027176, 'redshifts/nmad_bin_0': 0.21384166181087494, 'redshifts/nmad_bin_1': 0.13516269624233246, 'redshifts/nmad_bin_2': 0.0854291319847107, 'redshifts/nmad_bin_3': 0.06813758611679077, 'redshifts/nmad_bin_4': 0.06250922381877899, 'redshifts/nmad_bin_5': 0.03474033623933792, 'redshifts/outlier_fraction': 0.3274454176425934, 'redshifts/outlier_fraction_bin_0': 0.4882402718067169, 'redshifts/outlier_fraction_bin_1': 0.35575351119041443, 'redshifts/outlier_fraction_bin_2': 0.2547993063926697, 'redshifts/outlier_fraction_bin_3': 0.1921221911907196, 'redshifts/outlier_fraction_bin_4': 0.18473894894123077, 'redshifts/outlier_fraction_bin_5': 0.09243886172771454, 'redshifts/outlier_fraction_cata': 0.08885141462087631, 'redshifts/outlier_fraction_cata_bin_0': 0.13086479902267456, 'redshifts/outlier_fraction_cata_bin_1': 0.09943646937608719, 'redshifts/outlier_fraction_cata_bin_2': 0.07547993212938309, 'redshifts/outlier_fraction_cata_bin_3': 0.059485532343387604, 'redshifts/outlier_fraction_cata_bin_4': 0.06291834264993668, 'redshifts/outlier_fraction_cata_bin_5': 0.017051829025149345}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 92%|█████████▏| 352/383 [15:54:28<1:19:19, 153.54s/it]" + " 22%|██▏ | 347/1563 [30:55<1:43:56, 5.13s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([68319.])\n", - "{'redshifts/mse': 0.28441986441612244}\n" + "total num of pts: tensor([22602.])\n", + "total num of pts: tensor([8314., 5524., 2299., 1245., 749., 4471.])\n", + "{'redshifts/bias_abs': 0.07594108581542969, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.058289311826229095, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.004201077856123447, 'redshifts/bias_bin_0': 0.03233056515455246, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.3107457458972931, 'redshifts/mse_bin_0': 0.43639805912971497, 'redshifts/mse_bin_1': 0.3640921115875244, 'redshifts/mse_bin_2': 0.2678678333759308, 'redshifts/mse_bin_3': 0.2095787227153778, 'redshifts/mse_bin_4': 0.2490382045507431, 'redshifts/mse_bin_5': 0.0717385783791542, 'redshifts/nmad': 0.11266686767339706, 'redshifts/nmad_bin_0': 0.21372932195663452, 'redshifts/nmad_bin_1': 0.135208398103714, 'redshifts/nmad_bin_2': 0.0855824425816536, 'redshifts/nmad_bin_3': 0.0680939182639122, 'redshifts/nmad_bin_4': 0.06250922381877899, 'redshifts/nmad_bin_5': 0.034716516733169556, 'redshifts/outlier_fraction': 0.32731616497039795, 'redshifts/outlier_fraction_bin_0': 0.48833292722702026, 'redshifts/outlier_fraction_bin_1': 0.35572049021720886, 'redshifts/outlier_fraction_bin_2': 0.2540234923362732, 'redshifts/outlier_fraction_bin_3': 0.19196787476539612, 'redshifts/outlier_fraction_bin_4': 0.18424566090106964, 'redshifts/outlier_fraction_bin_5': 0.09214940667152405, 'redshifts/outlier_fraction_cata': 0.08884169906377792, 'redshifts/outlier_fraction_cata_bin_0': 0.13086360692977905, 'redshifts/outlier_fraction_cata_bin_1': 0.0995655357837677, 'redshifts/outlier_fraction_cata_bin_2': 0.07525011152029037, 'redshifts/outlier_fraction_cata_bin_3': 0.05943775177001953, 'redshifts/outlier_fraction_cata_bin_4': 0.06275033205747604, 'redshifts/outlier_fraction_cata_bin_5': 0.01699843443930149}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 92%|█████████▏| 353/383 [15:56:58<1:16:13, 152.44s/it]" + " 22%|██▏ | 348/1563 [31:00<1:41:36, 5.02s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([68513.])\n", - "{'redshifts/mse': 0.2842010259628296}\n" + "total num of pts: tensor([22662.])\n", + "total num of pts: tensor([8333., 5539., 2304., 1248., 749., 4489.])\n", + "{'redshifts/bias_abs': 0.07589719444513321, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.05816011130809784, 'redshifts/bias_abs_bin_3': 0.04531585052609444, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.0042070746421813965, 'redshifts/bias_bin_0': 0.03233056515455246, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.31057772040367126, 'redshifts/mse_bin_0': 0.4360732138156891, 'redshifts/mse_bin_1': 0.36380627751350403, 'redshifts/mse_bin_2': 0.2673685848712921, 'redshifts/mse_bin_3': 0.20923851430416107, 'redshifts/mse_bin_4': 0.2490382045507431, 'redshifts/mse_bin_5': 0.07256052643060684, 'redshifts/nmad': 0.11263728886842728, 'redshifts/nmad_bin_0': 0.21366176009178162, 'redshifts/nmad_bin_1': 0.13498851656913757, 'redshifts/nmad_bin_2': 0.08520254492759705, 'redshifts/nmad_bin_3': 0.0680939182639122, 'redshifts/nmad_bin_4': 0.06250922381877899, 'redshifts/nmad_bin_5': 0.03475548326969147, 'redshifts/outlier_fraction': 0.3271997272968292, 'redshifts/outlier_fraction_bin_0': 0.48829951882362366, 'redshifts/outlier_fraction_bin_1': 0.3556598722934723, 'redshifts/outlier_fraction_bin_2': 0.2534722089767456, 'redshifts/outlier_fraction_bin_3': 0.19150641560554504, 'redshifts/outlier_fraction_bin_4': 0.18424566090106964, 'redshifts/outlier_fraction_bin_5': 0.09244820475578308, 'redshifts/outlier_fraction_cata': 0.08887124061584473, 'redshifts/outlier_fraction_cata_bin_0': 0.1309252381324768, 'redshifts/outlier_fraction_cata_bin_1': 0.09947644174098969, 'redshifts/outlier_fraction_cata_bin_2': 0.0750868022441864, 'redshifts/outlier_fraction_cata_bin_3': 0.05929487198591232, 'redshifts/outlier_fraction_cata_bin_4': 0.06275033205747604, 'redshifts/outlier_fraction_cata_bin_5': 0.017375808209180832}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 92%|█████████▏| 354/383 [15:59:35<1:14:17, 153.70s/it]" + " 22%|██▏ | 349/1563 [31:05<1:42:03, 5.04s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([68693.])\n", - "{'redshifts/mse': 0.2841116487979889}\n" + "total num of pts: tensor([22735.])\n", + "total num of pts: tensor([8362., 5557., 2312., 1254., 753., 4497.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.058289311826229095, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.0042060911655426025, 'redshifts/bias_bin_0': 0.03233056515455246, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0012456371914595366, 'redshifts/mse': 0.3113214075565338, 'redshifts/mse_bin_0': 0.4375910460948944, 'redshifts/mse_bin_1': 0.36376598477363586, 'redshifts/mse_bin_2': 0.26879003643989563, 'redshifts/mse_bin_3': 0.20990078151226044, 'redshifts/mse_bin_4': 0.24823200702667236, 'redshifts/mse_bin_5': 0.07243529707193375, 'redshifts/nmad': 0.11273875832557678, 'redshifts/nmad_bin_0': 0.2139638066291809, 'redshifts/nmad_bin_1': 0.1351279616355896, 'redshifts/nmad_bin_2': 0.08573395013809204, 'redshifts/nmad_bin_3': 0.06798738241195679, 'redshifts/nmad_bin_4': 0.062274493277072906, 'redshifts/nmad_bin_5': 0.03475119173526764, 'redshifts/outlier_fraction': 0.32742467522621155, 'redshifts/outlier_fraction_bin_0': 0.48851948976516724, 'redshifts/outlier_fraction_bin_1': 0.35594746470451355, 'redshifts/outlier_fraction_bin_2': 0.253892719745636, 'redshifts/outlier_fraction_bin_3': 0.19138756394386292, 'redshifts/outlier_fraction_bin_4': 0.18459495902061462, 'redshifts/outlier_fraction_bin_5': 0.09228374809026718, 'redshifts/outlier_fraction_cata': 0.08902572840452194, 'redshifts/outlier_fraction_cata_bin_0': 0.13118870556354523, 'redshifts/outlier_fraction_cata_bin_1': 0.09951412677764893, 'redshifts/outlier_fraction_cata_bin_2': 0.07525951415300369, 'redshifts/outlier_fraction_cata_bin_3': 0.05980861186981201, 'redshifts/outlier_fraction_cata_bin_4': 0.06241700053215027, 'redshifts/outlier_fraction_cata_bin_5': 0.017344895750284195}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 93%|█████████▎| 355/383 [16:02:12<1:12:12, 154.74s/it]" + " 22%|██▏ | 350/1563 [31:12<1:52:47, 5.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([68891.])\n", - "{'redshifts/mse': 0.28410670161247253}\n" + "total num of pts: tensor([22803.])\n", + "total num of pts: tensor([8389., 5573., 2319., 1257., 754., 4511.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.05816011130809784, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.00418081134557724, 'redshifts/bias_bin_0': 0.03225463256239891, 'redshifts/bias_bin_1': 0.010632446967065334, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0012845878954976797, 'redshifts/mse': 0.3108687400817871, 'redshifts/mse_bin_0': 0.43693840503692627, 'redshifts/mse_bin_1': 0.3630789816379547, 'redshifts/mse_bin_2': 0.2681383788585663, 'redshifts/mse_bin_3': 0.2110375463962555, 'redshifts/mse_bin_4': 0.24790287017822266, 'redshifts/mse_bin_5': 0.07222945988178253, 'redshifts/nmad': 0.11280003190040588, 'redshifts/nmad_bin_0': 0.2136167287826538, 'redshifts/nmad_bin_1': 0.1350804567337036, 'redshifts/nmad_bin_2': 0.08529588580131531, 'redshifts/nmad_bin_3': 0.06835943460464478, 'redshifts/nmad_bin_4': 0.06224067136645317, 'redshifts/nmad_bin_5': 0.03472478687763214, 'redshifts/outlier_fraction': 0.32736921310424805, 'redshifts/outlier_fraction_bin_0': 0.4883776307106018, 'redshifts/outlier_fraction_bin_1': 0.35582271218299866, 'redshifts/outlier_fraction_bin_2': 0.25355756282806396, 'redshifts/outlier_fraction_bin_3': 0.192521870136261, 'redshifts/outlier_fraction_bin_4': 0.1843501329421997, 'redshifts/outlier_fraction_bin_5': 0.09221901744604111, 'redshifts/outlier_fraction_cata': 0.08884795755147934, 'redshifts/outlier_fraction_cata_bin_0': 0.13088569045066833, 'redshifts/outlier_fraction_cata_bin_1': 0.09922841936349869, 'redshifts/outlier_fraction_cata_bin_2': 0.07503233850002289, 'redshifts/outlier_fraction_cata_bin_3': 0.060461416840553284, 'redshifts/outlier_fraction_cata_bin_4': 0.06233421713113785, 'redshifts/outlier_fraction_cata_bin_5': 0.01729106716811657}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 93%|█████████▎| 356/383 [16:04:48<1:09:50, 155.22s/it]" + " 22%|██▏ | 351/1563 [31:17<1:52:54, 5.59s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([69091.])\n", - "{'redshifts/mse': 0.28421878814697266}\n" + "total num of pts: tensor([22874.])\n", + "total num of pts: tensor([8417., 5590., 2325., 1261., 756., 4525.])\n", + "{'redshifts/bias_abs': 0.07598108798265457, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05816011130809784, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023381708189845085, 'redshifts/bias': 0.004231893457472324, 'redshifts/bias_bin_0': 0.0323825366795063, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.31071221828460693, 'redshifts/mse_bin_0': 0.43665167689323425, 'redshifts/mse_bin_1': 0.3628169596195221, 'redshifts/mse_bin_2': 0.26802706718444824, 'redshifts/mse_bin_3': 0.21232743561267853, 'redshifts/mse_bin_4': 0.24735060334205627, 'redshifts/mse_bin_5': 0.07201999425888062, 'redshifts/nmad': 0.11279600858688354, 'redshifts/nmad_bin_0': 0.21371155977249146, 'redshifts/nmad_bin_1': 0.13530851900577545, 'redshifts/nmad_bin_2': 0.08563044667243958, 'redshifts/nmad_bin_3': 0.06828770041465759, 'redshifts/nmad_bin_4': 0.06242769584059715, 'redshifts/nmad_bin_5': 0.03475871682167053, 'redshifts/outlier_fraction': 0.32744601368904114, 'redshifts/outlier_fraction_bin_0': 0.4882974922657013, 'redshifts/outlier_fraction_bin_1': 0.3558139503002167, 'redshifts/outlier_fraction_bin_2': 0.2541935443878174, 'redshifts/outlier_fraction_bin_3': 0.19349722564220428, 'redshifts/outlier_fraction_bin_4': 0.18518517911434174, 'redshifts/outlier_fraction_bin_5': 0.0919337049126625, 'redshifts/outlier_fraction_cata': 0.08887819945812225, 'redshifts/outlier_fraction_cata_bin_0': 0.1309255063533783, 'redshifts/outlier_fraction_cata_bin_1': 0.09928443282842636, 'redshifts/outlier_fraction_cata_bin_2': 0.07483871281147003, 'redshifts/outlier_fraction_cata_bin_3': 0.06106264889240265, 'redshifts/outlier_fraction_cata_bin_4': 0.06216931343078613, 'redshifts/outlier_fraction_cata_bin_5': 0.017237568274140358}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 93%|█████████▎| 357/383 [16:07:25<1:07:27, 155.69s/it]" + " 23%|██▎ | 352/1563 [31:22<1:46:14, 5.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([69277.])\n", - "{'redshifts/mse': 0.2843468189239502}\n" + "total num of pts: tensor([22943.])\n", + "total num of pts: tensor([8444., 5605., 2332., 1263., 757., 4542.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004209383390843868, 'redshifts/bias_bin_0': 0.03225463256239891, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.31064531207084656, 'redshifts/mse_bin_0': 0.4366350471973419, 'redshifts/mse_bin_1': 0.3623039126396179, 'redshifts/mse_bin_2': 0.26724258065223694, 'redshifts/mse_bin_3': 0.21207280457019806, 'redshifts/mse_bin_4': 0.2470296025276184, 'redshifts/mse_bin_5': 0.07296878099441528, 'redshifts/nmad': 0.11266666650772095, 'redshifts/nmad_bin_0': 0.21322526037693024, 'redshifts/nmad_bin_1': 0.1351773589849472, 'redshifts/nmad_bin_2': 0.08492448180913925, 'redshifts/nmad_bin_3': 0.06828770041465759, 'redshifts/nmad_bin_4': 0.06242769584059715, 'redshifts/nmad_bin_5': 0.034732088446617126, 'redshifts/outlier_fraction': 0.3271586000919342, 'redshifts/outlier_fraction_bin_0': 0.4880388379096985, 'redshifts/outlier_fraction_bin_1': 0.35539695620536804, 'redshifts/outlier_fraction_bin_2': 0.2534305453300476, 'redshifts/outlier_fraction_bin_3': 0.1939825862646103, 'redshifts/outlier_fraction_bin_4': 0.18494056165218353, 'redshifts/outlier_fraction_bin_5': 0.09180977195501328, 'redshifts/outlier_fraction_cata': 0.08882883936166763, 'redshifts/outlier_fraction_cata_bin_0': 0.13086214661598206, 'redshifts/outlier_fraction_cata_bin_1': 0.0991971418261528, 'redshifts/outlier_fraction_cata_bin_2': 0.07461406290531158, 'redshifts/outlier_fraction_cata_bin_3': 0.06096595525741577, 'redshifts/outlier_fraction_cata_bin_4': 0.06208718568086624, 'redshifts/outlier_fraction_cata_bin_5': 0.017393218353390694}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 93%|█████████▎| 358/383 [16:10:01<1:04:54, 155.77s/it]" + " 23%|██▎ | 353/1563 [31:26<1:41:35, 5.04s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([69447.])\n", - "{'redshifts/mse': 0.28426840901374817}\n" + "total num of pts: tensor([23015.])\n", + "total num of pts: tensor([8471., 5625., 2341., 1266., 759., 4553.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05812655761837959, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.004193149507045746, 'redshifts/bias_bin_0': 0.03215901553630829, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.31084397435188293, 'redshifts/mse_bin_0': 0.43703991174697876, 'redshifts/mse_bin_1': 0.36233755946159363, 'redshifts/mse_bin_2': 0.2673998177051544, 'redshifts/mse_bin_3': 0.21158885955810547, 'redshifts/mse_bin_4': 0.24637936055660248, 'redshifts/mse_bin_5': 0.07311911880970001, 'redshifts/nmad': 0.11266126483678818, 'redshifts/nmad_bin_0': 0.2132011353969574, 'redshifts/nmad_bin_1': 0.13530851900577545, 'redshifts/nmad_bin_2': 0.0852699875831604, 'redshifts/nmad_bin_3': 0.06822337955236435, 'redshifts/nmad_bin_4': 0.06170206889510155, 'redshifts/nmad_bin_5': 0.03472817316651344, 'redshifts/outlier_fraction': 0.32704758644104004, 'redshifts/outlier_fraction_bin_0': 0.4877818524837494, 'redshifts/outlier_fraction_bin_1': 0.35502222180366516, 'redshifts/outlier_fraction_bin_2': 0.2537377178668976, 'redshifts/outlier_fraction_bin_3': 0.19352290034294128, 'redshifts/outlier_fraction_bin_4': 0.18445323407649994, 'redshifts/outlier_fraction_bin_5': 0.09202723205089569, 'redshifts/outlier_fraction_cata': 0.08898544311523438, 'redshifts/outlier_fraction_cata_bin_0': 0.13115334510803223, 'redshifts/outlier_fraction_cata_bin_1': 0.09920000284910202, 'redshifts/outlier_fraction_cata_bin_2': 0.07475437968969345, 'redshifts/outlier_fraction_cata_bin_3': 0.06082148477435112, 'redshifts/outlier_fraction_cata_bin_4': 0.06192358210682869, 'redshifts/outlier_fraction_cata_bin_5': 0.01757083274424076}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 94%|█████████▎| 359/383 [16:12:31<1:01:38, 154.12s/it]" + " 23%|██▎ | 354/1563 [31:31<1:41:20, 5.03s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([69640.])\n", - "{'redshifts/mse': 0.28432977199554443}\n" + "total num of pts: tensor([23073.])\n", + "total num of pts: tensor([8491., 5634., 2348., 1272., 761., 4567.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.058289311826229095, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.03189108148217201, 'redshifts/bias_bin_1': 0.010632446967065334, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.001264343154616654, 'redshifts/mse': 0.3109409511089325, 'redshifts/mse_bin_0': 0.4369651675224304, 'redshifts/mse_bin_1': 0.36264708638191223, 'redshifts/mse_bin_2': 0.2695399820804596, 'redshifts/mse_bin_3': 0.21073831617832184, 'redshifts/mse_bin_4': 0.2457360178232193, 'redshifts/mse_bin_5': 0.07290975004434586, 'redshifts/nmad': 0.11267643421888351, 'redshifts/nmad_bin_0': 0.21307772397994995, 'redshifts/nmad_bin_1': 0.1354387104511261, 'redshifts/nmad_bin_2': 0.08594731986522675, 'redshifts/nmad_bin_3': 0.06813758611679077, 'redshifts/nmad_bin_4': 0.06181761249899864, 'redshifts/nmad_bin_5': 0.034641604870557785, 'redshifts/outlier_fraction': 0.3271356225013733, 'redshifts/outlier_fraction_bin_0': 0.4878106117248535, 'redshifts/outlier_fraction_bin_1': 0.3555200695991516, 'redshifts/outlier_fraction_bin_2': 0.25468483567237854, 'redshifts/outlier_fraction_bin_3': 0.19339622557163239, 'redshifts/outlier_fraction_bin_4': 0.1839684695005417, 'redshifts/outlier_fraction_bin_5': 0.09174513071775436, 'redshifts/outlier_fraction_cata': 0.08910848200321198, 'redshifts/outlier_fraction_cata_bin_0': 0.13131551444530487, 'redshifts/outlier_fraction_cata_bin_1': 0.09939651936292648, 'redshifts/outlier_fraction_cata_bin_2': 0.07538330554962158, 'redshifts/outlier_fraction_cata_bin_3': 0.06053459271788597, 'redshifts/outlier_fraction_cata_bin_4': 0.06176084280014038, 'redshifts/outlier_fraction_cata_bin_5': 0.0175169687718153}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 94%|█████████▍| 360/383 [16:15:04<58:55, 153.70s/it] " + " 23%|██▎ | 355/1563 [31:36<1:40:53, 5.01s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([69830.])\n", - "{'redshifts/mse': 0.2844697833061218}\n" + "total num of pts: tensor([23143.])\n", + "total num of pts: tensor([8521., 5650., 2356., 1274., 765., 4577.])\n", + "{'redshifts/bias_abs': 0.07600503414869308, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004154780879616737, 'redshifts/bias_bin_0': 0.03215901553630829, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.003073889994993806, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.3108293414115906, 'redshifts/mse_bin_0': 0.43673327565193176, 'redshifts/mse_bin_1': 0.36213842034339905, 'redshifts/mse_bin_2': 0.270297646522522, 'redshifts/mse_bin_3': 0.21063385903835297, 'redshifts/mse_bin_4': 0.2447396218776703, 'redshifts/mse_bin_5': 0.07289700210094452, 'redshifts/nmad': 0.11285452544689178, 'redshifts/nmad_bin_0': 0.21389871835708618, 'redshifts/nmad_bin_1': 0.13533049821853638, 'redshifts/nmad_bin_2': 0.08608678728342056, 'redshifts/nmad_bin_3': 0.0681723952293396, 'redshifts/nmad_bin_4': 0.06217237189412117, 'redshifts/nmad_bin_5': 0.03472817316651344, 'redshifts/outlier_fraction': 0.3274856209754944, 'redshifts/outlier_fraction_bin_0': 0.4883229732513428, 'redshifts/outlier_fraction_bin_1': 0.35557523369789124, 'redshifts/outlier_fraction_bin_2': 0.25509336590766907, 'redshifts/outlier_fraction_bin_3': 0.19387754797935486, 'redshifts/outlier_fraction_bin_4': 0.18431372940540314, 'redshifts/outlier_fraction_bin_5': 0.09176316112279892, 'redshifts/outlier_fraction_cata': 0.08918463438749313, 'redshifts/outlier_fraction_cata_bin_0': 0.13155733048915863, 'redshifts/outlier_fraction_cata_bin_1': 0.09929203242063522, 'redshifts/outlier_fraction_cata_bin_2': 0.07555178552865982, 'redshifts/outlier_fraction_cata_bin_3': 0.06043956056237221, 'redshifts/outlier_fraction_cata_bin_4': 0.06143790856003761, 'redshifts/outlier_fraction_cata_bin_5': 0.01747869700193405}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 94%|█████████▍| 361/383 [16:17:40<56:38, 154.48s/it]" + " 23%|██▎ | 356/1563 [31:41<1:35:57, 4.77s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([70026.])\n", - "{'redshifts/mse': 0.2843700051307678}\n" + "total num of pts: tensor([23197.])\n", + "total num of pts: tensor([8541., 5663., 2362., 1276., 767., 4588.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.058289311826229095, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.03189108148217201, 'redshifts/bias_bin_1': 0.010632446967065334, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.006670001894235611, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0012359170941635966, 'redshifts/mse': 0.3113263249397278, 'redshifts/mse_bin_0': 0.4374428391456604, 'redshifts/mse_bin_1': 0.36227381229400635, 'redshifts/mse_bin_2': 0.2702198922634125, 'redshifts/mse_bin_3': 0.21055935323238373, 'redshifts/mse_bin_4': 0.24414180219173431, 'redshifts/mse_bin_5': 0.07408374547958374, 'redshifts/nmad': 0.11285710334777832, 'redshifts/nmad_bin_0': 0.21354524791240692, 'redshifts/nmad_bin_1': 0.1354387104511261, 'redshifts/nmad_bin_2': 0.08613480627536774, 'redshifts/nmad_bin_3': 0.06824751943349838, 'redshifts/nmad_bin_4': 0.062298424541950226, 'redshifts/nmad_bin_5': 0.034702107310295105, 'redshifts/outlier_fraction': 0.32741302251815796, 'redshifts/outlier_fraction_bin_0': 0.4879990518093109, 'redshifts/outlier_fraction_bin_1': 0.3556418716907501, 'redshifts/outlier_fraction_bin_2': 0.2552921175956726, 'redshifts/outlier_fraction_bin_3': 0.19435736536979675, 'redshifts/outlier_fraction_bin_4': 0.18383312225341797, 'redshifts/outlier_fraction_bin_5': 0.09176111966371536, 'redshifts/outlier_fraction_cata': 0.08927878737449646, 'redshifts/outlier_fraction_cata_bin_0': 0.1316005140542984, 'redshifts/outlier_fraction_cata_bin_1': 0.09941726922988892, 'redshifts/outlier_fraction_cata_bin_2': 0.07578323781490326, 'redshifts/outlier_fraction_cata_bin_3': 0.06034482643008232, 'redshifts/outlier_fraction_cata_bin_4': 0.06127770617604256, 'redshifts/outlier_fraction_cata_bin_5': 0.017654752358794212}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 95%|█████████▍| 362/383 [16:20:15<54:04, 154.50s/it]" + " 23%|██▎ | 357/1563 [31:45<1:31:11, 4.54s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([70211.])\n", - "{'redshifts/mse': 0.28438523411750793}\n" + "total num of pts: tensor([23256.])\n", + "total num of pts: tensor([8561., 5681., 2371., 1277., 767., 4599.])\n", + "{'redshifts/bias_abs': 0.07602231949567795, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.004193149507045746, 'redshifts/bias_bin_0': 0.03189108148217201, 'redshifts/bias_bin_1': 0.010628738440573215, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0010990500450134277, 'redshifts/mse': 0.3112761974334717, 'redshifts/mse_bin_0': 0.43752744793891907, 'redshifts/mse_bin_1': 0.361710786819458, 'redshifts/mse_bin_2': 0.27090319991111755, 'redshifts/mse_bin_3': 0.2103954255580902, 'redshifts/mse_bin_4': 0.24414180219173431, 'redshifts/mse_bin_5': 0.07398340106010437, 'redshifts/nmad': 0.11289509385824203, 'redshifts/nmad_bin_0': 0.21362262964248657, 'redshifts/nmad_bin_1': 0.1355661153793335, 'redshifts/nmad_bin_2': 0.08641286939382553, 'redshifts/nmad_bin_3': 0.0681723952293396, 'redshifts/nmad_bin_4': 0.062298424541950226, 'redshifts/nmad_bin_5': 0.034717973321676254, 'redshifts/outlier_fraction': 0.32757139205932617, 'redshifts/outlier_fraction_bin_0': 0.4881439208984375, 'redshifts/outlier_fraction_bin_1': 0.3557472229003906, 'redshifts/outlier_fraction_bin_2': 0.25601011514663696, 'redshifts/outlier_fraction_bin_3': 0.1942051649093628, 'redshifts/outlier_fraction_bin_4': 0.18383312225341797, 'redshifts/outlier_fraction_bin_5': 0.0917590782046318, 'redshifts/outlier_fraction_cata': 0.08922428637742996, 'redshifts/outlier_fraction_cata_bin_0': 0.13164350390434265, 'redshifts/outlier_fraction_cata_bin_1': 0.09910227358341217, 'redshifts/outlier_fraction_cata_bin_2': 0.0759173333644867, 'redshifts/outlier_fraction_cata_bin_3': 0.06029757112264633, 'redshifts/outlier_fraction_cata_bin_4': 0.06127770617604256, 'redshifts/outlier_fraction_cata_bin_5': 0.017612524330615997}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 95%|█████████▍| 363/383 [16:22:49<51:25, 154.27s/it]" + " 23%|██▎ | 358/1563 [31:49<1:31:58, 4.58s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([70392.])\n", - "{'redshifts/mse': 0.2845216691493988}\n" + "total num of pts: tensor([23335.])\n", + "total num of pts: tensor([8586., 5701., 2381., 1282., 771., 4614.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.045793768018484116, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004171609878540039, 'redshifts/bias_bin_0': 0.03180370852351189, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0011725191725417972, 'redshifts/mse': 0.31122681498527527, 'redshifts/mse_bin_0': 0.43737396597862244, 'redshifts/mse_bin_1': 0.3609936535358429, 'redshifts/mse_bin_2': 0.27077600359916687, 'redshifts/mse_bin_3': 0.2096388190984726, 'redshifts/mse_bin_4': 0.2432684451341629, 'redshifts/mse_bin_5': 0.07545096427202225, 'redshifts/nmad': 0.11281367391347885, 'redshifts/nmad_bin_0': 0.21337194740772247, 'redshifts/nmad_bin_1': 0.13539698719978333, 'redshifts/nmad_bin_2': 0.08615199476480484, 'redshifts/nmad_bin_3': 0.06838613748550415, 'redshifts/nmad_bin_4': 0.06221606582403183, 'redshifts/nmad_bin_5': 0.034742265939712524, 'redshifts/outlier_fraction': 0.3274480402469635, 'redshifts/outlier_fraction_bin_0': 0.48788726329803467, 'redshifts/outlier_fraction_bin_1': 0.35590246319770813, 'redshifts/outlier_fraction_bin_2': 0.2561948895454407, 'redshifts/outlier_fraction_bin_3': 0.19344773888587952, 'redshifts/outlier_fraction_bin_4': 0.18417640030384064, 'redshifts/outlier_fraction_bin_5': 0.09167750179767609, 'redshifts/outlier_fraction_cata': 0.08913648873567581, 'redshifts/outlier_fraction_cata_bin_0': 0.13149312138557434, 'redshifts/outlier_fraction_cata_bin_1': 0.0989300087094307, 'redshifts/outlier_fraction_cata_bin_2': 0.07601848244667053, 'redshifts/outlier_fraction_cata_bin_3': 0.06006240099668503, 'redshifts/outlier_fraction_cata_bin_4': 0.060959793627262115, 'redshifts/outlier_fraction_cata_bin_5': 0.017771998420357704}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 95%|█████████▌| 364/383 [16:25:24<48:56, 154.55s/it]" + " 23%|██▎ | 359/1563 [31:54<1:33:51, 4.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([70600.])\n", - "{'redshifts/mse': 0.28473836183547974}\n" + "total num of pts: tensor([23390.])\n", + "total num of pts: tensor([8603., 5717., 2385., 1289., 772., 4624.])\n", + "{'redshifts/bias_abs': 0.07598846405744553, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.03215901553630829, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0010925233364105225, 'redshifts/mse': 0.3114392161369324, 'redshifts/mse_bin_0': 0.4387708604335785, 'redshifts/mse_bin_1': 0.360053151845932, 'redshifts/mse_bin_2': 0.27086442708969116, 'redshifts/mse_bin_3': 0.20884549617767334, 'redshifts/mse_bin_4': 0.24318139255046844, 'redshifts/mse_bin_5': 0.07535672187805176, 'redshifts/nmad': 0.1127106249332428, 'redshifts/nmad_bin_0': 0.21347497403621674, 'redshifts/nmad_bin_1': 0.13523252308368683, 'redshifts/nmad_bin_2': 0.08615199476480484, 'redshifts/nmad_bin_3': 0.06848888844251633, 'redshifts/nmad_bin_4': 0.062270231544971466, 'redshifts/nmad_bin_5': 0.03470614179968834, 'redshifts/outlier_fraction': 0.3273621201515198, 'redshifts/outlier_fraction_bin_0': 0.48808553814888, 'redshifts/outlier_fraction_bin_1': 0.35525625944137573, 'redshifts/outlier_fraction_bin_2': 0.25618448853492737, 'redshifts/outlier_fraction_bin_3': 0.19317300617694855, 'redshifts/outlier_fraction_bin_4': 0.18523316085338593, 'redshifts/outlier_fraction_bin_5': 0.09169550240039825, 'redshifts/outlier_fraction_cata': 0.08914066106081009, 'redshifts/outlier_fraction_cata_bin_0': 0.13169825077056885, 'redshifts/outlier_fraction_cata_bin_1': 0.09865313768386841, 'redshifts/outlier_fraction_cata_bin_2': 0.07631026953458786, 'redshifts/outlier_fraction_cata_bin_3': 0.0597362294793129, 'redshifts/outlier_fraction_cata_bin_4': 0.06088082864880562, 'redshifts/outlier_fraction_cata_bin_5': 0.017733564600348473}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 95%|█████████▌| 365/383 [16:28:00<46:31, 155.10s/it]" + " 23%|██▎ | 360/1563 [31:58<1:30:34, 4.52s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([70797.])\n", - "{'redshifts/mse': 0.28446370363235474}\n" + "total num of pts: tensor([23447.])\n", + "total num of pts: tensor([8618., 5738., 2395., 1291., 773., 4632.])\n", + "{'redshifts/bias_abs': 0.07602231949567795, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.00418081134557724, 'redshifts/bias_bin_0': 0.03210180252790451, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0010925233364105225, 'redshifts/mse': 0.3113217353820801, 'redshifts/mse_bin_0': 0.43848857283592224, 'redshifts/mse_bin_1': 0.35946521162986755, 'redshifts/mse_bin_2': 0.2723836600780487, 'redshifts/mse_bin_3': 0.20853349566459656, 'redshifts/mse_bin_4': 0.24291495978832245, 'redshifts/mse_bin_5': 0.0752829909324646, 'redshifts/nmad': 0.11287174373865128, 'redshifts/nmad_bin_0': 0.21362093091011047, 'redshifts/nmad_bin_1': 0.13508476316928864, 'redshifts/nmad_bin_2': 0.08629059791564941, 'redshifts/nmad_bin_3': 0.06836308538913727, 'redshifts/nmad_bin_4': 0.062342118471860886, 'redshifts/nmad_bin_5': 0.03470829874277115, 'redshifts/outlier_fraction': 0.3273766338825226, 'redshifts/outlier_fraction_bin_0': 0.48828035593032837, 'redshifts/outlier_fraction_bin_1': 0.3548274636268616, 'redshifts/outlier_fraction_bin_2': 0.25678497552871704, 'redshifts/outlier_fraction_bin_3': 0.1928737461566925, 'redshifts/outlier_fraction_bin_4': 0.18499353528022766, 'redshifts/outlier_fraction_bin_5': 0.0917530208826065, 'redshifts/outlier_fraction_cata': 0.08913720399141312, 'redshifts/outlier_fraction_cata_bin_0': 0.13158506155014038, 'redshifts/outlier_fraction_cata_bin_1': 0.09864064306020737, 'redshifts/outlier_fraction_cata_bin_2': 0.07682672142982483, 'redshifts/outlier_fraction_cata_bin_3': 0.059643685817718506, 'redshifts/outlier_fraction_cata_bin_4': 0.060802068561315536, 'redshifts/outlier_fraction_cata_bin_5': 0.01770293526351452}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 96%|█████████▌| 366/383 [16:30:36<44:01, 155.36s/it]" + " 23%|██▎ | 361/1563 [32:03<1:29:17, 4.46s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([70989.])\n", - "{'redshifts/mse': 0.2843175530433655}\n" + "total num of pts: tensor([23513.])\n", + "total num of pts: tensor([8648., 5758., 2398., 1295., 773., 4641.])\n", + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.058289311826229095, 'redshifts/bias_abs_bin_3': 0.045793768018484116, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004201077856123447, 'redshifts/bias_bin_0': 0.03215901553630829, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.001070469617843628, 'redshifts/mse': 0.3116351068019867, 'redshifts/mse_bin_0': 0.43982645869255066, 'redshifts/mse_bin_1': 0.3587617576122284, 'redshifts/mse_bin_2': 0.2720465362071991, 'redshifts/mse_bin_3': 0.2079026848077774, 'redshifts/mse_bin_4': 0.24291495978832245, 'redshifts/mse_bin_5': 0.07514248043298721, 'redshifts/nmad': 0.11273132264614105, 'redshifts/nmad_bin_0': 0.21340741217136383, 'redshifts/nmad_bin_1': 0.13498274981975555, 'redshifts/nmad_bin_2': 0.0857958048582077, 'redshifts/nmad_bin_3': 0.06813415884971619, 'redshifts/nmad_bin_4': 0.062342118471860886, 'redshifts/nmad_bin_5': 0.03467560186982155, 'redshifts/outlier_fraction': 0.3271807134151459, 'redshifts/outlier_fraction_bin_0': 0.48808974027633667, 'redshifts/outlier_fraction_bin_1': 0.3542896807193756, 'redshifts/outlier_fraction_bin_2': 0.2564637064933777, 'redshifts/outlier_fraction_bin_3': 0.19227799773216248, 'redshifts/outlier_fraction_bin_4': 0.18499353528022766, 'redshifts/outlier_fraction_bin_5': 0.09157509356737137, 'redshifts/outlier_fraction_cata': 0.08909964561462402, 'redshifts/outlier_fraction_cata_bin_0': 0.13170675933361053, 'redshifts/outlier_fraction_cata_bin_1': 0.09829802066087723, 'redshifts/outlier_fraction_cata_bin_2': 0.07673060894012451, 'redshifts/outlier_fraction_cata_bin_3': 0.05945945903658867, 'redshifts/outlier_fraction_cata_bin_4': 0.060802068561315536, 'redshifts/outlier_fraction_cata_bin_5': 0.017668606713414192}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 96%|█████████▌| 367/383 [16:33:11<41:20, 155.04s/it]" + " 23%|██▎ | 362/1563 [32:08<1:33:45, 4.68s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([71182.])\n", - "{'redshifts/mse': 0.28401046991348267}\n" + "total num of pts: tensor([23578.])\n", + "total num of pts: tensor([8670., 5774., 2405., 1296., 774., 4659.])\n", + "{'redshifts/bias_abs': 0.07598846405744553, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02326059527695179, 'redshifts/bias': 0.004168228711932898, 'redshifts/bias_bin_0': 0.03198041394352913, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0010925233364105225, 'redshifts/mse': 0.31132179498672485, 'redshifts/mse_bin_0': 0.4398058354854584, 'redshifts/mse_bin_1': 0.3582289218902588, 'redshifts/mse_bin_2': 0.2713789939880371, 'redshifts/mse_bin_3': 0.20774231851100922, 'redshifts/mse_bin_4': 0.2426048070192337, 'redshifts/mse_bin_5': 0.07493939250707626, 'redshifts/nmad': 0.11268261820077896, 'redshifts/nmad_bin_0': 0.21321016550064087, 'redshifts/nmad_bin_1': 0.1349148005247116, 'redshifts/nmad_bin_2': 0.0863294005393982, 'redshifts/nmad_bin_3': 0.06806211918592453, 'redshifts/nmad_bin_4': 0.062270231544971466, 'redshifts/nmad_bin_5': 0.03465316444635391, 'redshifts/outlier_fraction': 0.32687249779701233, 'redshifts/outlier_fraction_bin_0': 0.4880046248435974, 'redshifts/outlier_fraction_bin_1': 0.35382750630378723, 'redshifts/outlier_fraction_bin_2': 0.2557172477245331, 'redshifts/outlier_fraction_bin_3': 0.19212962687015533, 'redshifts/outlier_fraction_bin_4': 0.18475452065467834, 'redshifts/outlier_fraction_bin_5': 0.09143593162298203, 'redshifts/outlier_fraction_cata': 0.0890236645936966, 'redshifts/outlier_fraction_cata_bin_0': 0.13183391094207764, 'redshifts/outlier_fraction_cata_bin_1': 0.09802563488483429, 'redshifts/outlier_fraction_cata_bin_2': 0.07650727778673172, 'redshifts/outlier_fraction_cata_bin_3': 0.05941358208656311, 'redshifts/outlier_fraction_cata_bin_4': 0.06072351336479187, 'redshifts/outlier_fraction_cata_bin_5': 0.017600342631340027}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 96%|█████████▌| 368/383 [16:35:47<38:51, 155.43s/it]" + " 23%|██▎ | 363/1563 [32:14<1:43:02, 5.15s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([71383.])\n", - "{'redshifts/mse': 0.2841472923755646}\n" + "total num of pts: tensor([23650.])\n", + "total num of pts: tensor([8689., 5791., 2416., 1301., 777., 4676.])\n", + "{'redshifts/bias_abs': 0.07599033415317535, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02321484684944153, 'redshifts/bias': 0.004154780879616737, 'redshifts/bias_bin_0': 0.03172580897808075, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.0031656830105930567, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0010737776756286621, 'redshifts/mse': 0.31088101863861084, 'redshifts/mse_bin_0': 0.43965038657188416, 'redshifts/mse_bin_1': 0.35779473185539246, 'redshifts/mse_bin_2': 0.27055928111076355, 'redshifts/mse_bin_3': 0.20702284574508667, 'redshifts/mse_bin_4': 0.24190640449523926, 'redshifts/mse_bin_5': 0.07469204813241959, 'redshifts/nmad': 0.11271481961011887, 'redshifts/nmad_bin_0': 0.21325644850730896, 'redshifts/nmad_bin_1': 0.1350434571504593, 'redshifts/nmad_bin_2': 0.08618056774139404, 'redshifts/nmad_bin_3': 0.06806408613920212, 'redshifts/nmad_bin_4': 0.062342118471860886, 'redshifts/nmad_bin_5': 0.03458288684487343, 'redshifts/outlier_fraction': 0.32684990763664246, 'redshifts/outlier_fraction_bin_0': 0.4880883991718292, 'redshifts/outlier_fraction_bin_1': 0.3539975881576538, 'redshifts/outlier_fraction_bin_2': 0.256208598613739, 'redshifts/outlier_fraction_bin_3': 0.1913912445306778, 'redshifts/outlier_fraction_bin_4': 0.1853281855583191, 'redshifts/outlier_fraction_bin_5': 0.09131736308336258, 'redshifts/outlier_fraction_cata': 0.08892177790403366, 'redshifts/outlier_fraction_cata_bin_0': 0.1318908929824829, 'redshifts/outlier_fraction_cata_bin_1': 0.0979105532169342, 'redshifts/outlier_fraction_cata_bin_2': 0.07615894079208374, 'redshifts/outlier_fraction_cata_bin_3': 0.05918524041771889, 'redshifts/outlier_fraction_cata_bin_4': 0.06048906221985817, 'redshifts/outlier_fraction_cata_bin_5': 0.017536355182528496}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 96%|█████████▋| 369/383 [16:38:21<36:11, 155.14s/it]" + " 23%|██▎ | 364/1563 [32:20<1:48:31, 5.43s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([71560.])\n", - "{'redshifts/mse': 0.2841913104057312}\n" + "total num of pts: tensor([23719.])\n", + "total num of pts: tensor([8708., 5808., 2425., 1306., 781., 4691.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05864787846803665, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02326059527695179, 'redshifts/bias': 0.004135464783757925, 'redshifts/bias_bin_0': 0.03170373663306236, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0010626951698213816, 'redshifts/mse': 0.3105701506137848, 'redshifts/mse_bin_0': 0.43946969509124756, 'redshifts/mse_bin_1': 0.35712942481040955, 'redshifts/mse_bin_2': 0.27129292488098145, 'redshifts/mse_bin_3': 0.2062525600194931, 'redshifts/mse_bin_4': 0.2407754808664322, 'redshifts/mse_bin_5': 0.0746132954955101, 'redshifts/nmad': 0.11262331157922745, 'redshifts/nmad_bin_0': 0.21279998123645782, 'redshifts/nmad_bin_1': 0.13497991859912872, 'redshifts/nmad_bin_2': 0.0864827111363411, 'redshifts/nmad_bin_3': 0.06799444556236267, 'redshifts/nmad_bin_4': 0.06217237189412117, 'redshifts/nmad_bin_5': 0.034637391567230225, 'redshifts/outlier_fraction': 0.3267844319343567, 'redshifts/outlier_fraction_bin_0': 0.48782727122306824, 'redshifts/outlier_fraction_bin_1': 0.35365012288093567, 'redshifts/outlier_fraction_bin_2': 0.25690722465515137, 'redshifts/outlier_fraction_bin_3': 0.19065849483013153, 'redshifts/outlier_fraction_bin_4': 0.18565940856933594, 'redshifts/outlier_fraction_bin_5': 0.09209123998880386, 'redshifts/outlier_fraction_cata': 0.08887390047311783, 'redshifts/outlier_fraction_cata_bin_0': 0.13194763660430908, 'redshifts/outlier_fraction_cata_bin_1': 0.09779614210128784, 'redshifts/outlier_fraction_cata_bin_2': 0.07628866285085678, 'redshifts/outlier_fraction_cata_bin_3': 0.05895865336060524, 'redshifts/outlier_fraction_cata_bin_4': 0.06017925590276718, 'redshifts/outlier_fraction_cata_bin_5': 0.017480282112956047}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 97%|█████████▋| 370/383 [16:40:54<33:25, 154.28s/it]" + " 23%|██▎ | 365/1563 [32:26<1:48:51, 5.45s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([71749.])\n", - "{'redshifts/mse': 0.2843191623687744}\n" + "total num of pts: tensor([23778.])\n", + "total num of pts: tensor([8734., 5818., 2428., 1307., 782., 4709.])\n", + "{'redshifts/bias_abs': 0.07594108581542969, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023220153525471687, 'redshifts/bias': 0.004137605428695679, 'redshifts/bias_bin_0': 0.03170406073331833, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.003073889994993806, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.3103075921535492, 'redshifts/mse_bin_0': 0.439292311668396, 'redshifts/mse_bin_1': 0.35677868127822876, 'redshifts/mse_bin_2': 0.27096402645111084, 'redshifts/mse_bin_3': 0.2061360627412796, 'redshifts/mse_bin_4': 0.24089884757995605, 'redshifts/mse_bin_5': 0.07438496500253677, 'redshifts/nmad': 0.11257276684045792, 'redshifts/nmad_bin_0': 0.21322420239448547, 'redshifts/nmad_bin_1': 0.13497991859912872, 'redshifts/nmad_bin_2': 0.08631666004657745, 'redshifts/nmad_bin_3': 0.06806408613920212, 'redshifts/nmad_bin_4': 0.06217237189412117, 'redshifts/nmad_bin_5': 0.03457790985703468, 'redshifts/outlier_fraction': 0.32689881324768066, 'redshifts/outlier_fraction_bin_0': 0.4880925118923187, 'redshifts/outlier_fraction_bin_1': 0.35372981429100037, 'redshifts/outlier_fraction_bin_2': 0.2565898001194, 'redshifts/outlier_fraction_bin_3': 0.19051262736320496, 'redshifts/outlier_fraction_bin_4': 0.1867007613182068, 'redshifts/outlier_fraction_bin_5': 0.09216394275426865, 'redshifts/outlier_fraction_cata': 0.08877954632043839, 'redshifts/outlier_fraction_cata_bin_0': 0.13189832866191864, 'redshifts/outlier_fraction_cata_bin_1': 0.09762804955244064, 'redshifts/outlier_fraction_cata_bin_2': 0.0761943981051445, 'redshifts/outlier_fraction_cata_bin_3': 0.058913543820381165, 'redshifts/outlier_fraction_cata_bin_4': 0.060102302581071854, 'redshifts/outlier_fraction_cata_bin_5': 0.017413463443517685}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 97%|█████████▋| 371/383 [16:43:33<31:11, 155.93s/it]" + " 23%|██▎ | 366/1563 [32:31<1:48:32, 5.44s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([71960.])\n", - "{'redshifts/mse': 0.28461411595344543}\n" + "total num of pts: tensor([23852.])\n", + "total num of pts: tensor([8762., 5833., 2435., 1313., 782., 4727.])\n", + "{'redshifts/bias_abs': 0.07587627321481705, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09019730240106583, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02326059527695179, 'redshifts/bias': 0.004135986790060997, 'redshifts/bias_bin_0': 0.03164943307638168, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.0031656830105930567, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.3102201223373413, 'redshifts/mse_bin_0': 0.4396492838859558, 'redshifts/mse_bin_1': 0.3563683331012726, 'redshifts/mse_bin_2': 0.2705255448818207, 'redshifts/mse_bin_3': 0.2052152305841446, 'redshifts/mse_bin_4': 0.24089884757995605, 'redshifts/mse_bin_5': 0.07444702833890915, 'redshifts/nmad': 0.11247874796390533, 'redshifts/nmad_bin_0': 0.21318696439266205, 'redshifts/nmad_bin_1': 0.13493739068508148, 'redshifts/nmad_bin_2': 0.08618056774139404, 'redshifts/nmad_bin_3': 0.06786301732063293, 'redshifts/nmad_bin_4': 0.06217237189412117, 'redshifts/nmad_bin_5': 0.03461064398288727, 'redshifts/outlier_fraction': 0.3267231285572052, 'redshifts/outlier_fraction_bin_0': 0.48801642656326294, 'redshifts/outlier_fraction_bin_1': 0.3533344864845276, 'redshifts/outlier_fraction_bin_2': 0.25667351484298706, 'redshifts/outlier_fraction_bin_3': 0.1896420419216156, 'redshifts/outlier_fraction_bin_4': 0.1867007613182068, 'redshifts/outlier_fraction_bin_5': 0.09223609417676926, 'redshifts/outlier_fraction_cata': 0.08883950859308243, 'redshifts/outlier_fraction_cata_bin_0': 0.13216160237789154, 'redshifts/outlier_fraction_cata_bin_1': 0.09754843264818192, 'redshifts/outlier_fraction_cata_bin_2': 0.07597535848617554, 'redshifts/outlier_fraction_cata_bin_3': 0.05864432454109192, 'redshifts/outlier_fraction_cata_bin_4': 0.060102302581071854, 'redshifts/outlier_fraction_cata_bin_5': 0.017558705061674118}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 97%|█████████▋| 372/383 [16:46:12<28:42, 156.59s/it]" + " 23%|██▎ | 367/1563 [32:36<1:44:52, 5.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([72151.])\n", - "{'redshifts/mse': 0.28479310870170593}\n" + "total num of pts: tensor([23901.])\n", + "total num of pts: tensor([8776., 5849., 2442., 1316., 783., 4735.])\n", + "{'redshifts/bias_abs': 0.07585947215557098, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09019730240106583, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.04554741829633713, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004128248430788517, 'redshifts/bias_bin_0': 0.03136618807911873, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.0031656830105930567, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.31046026945114136, 'redshifts/mse_bin_0': 0.43961989879608154, 'redshifts/mse_bin_1': 0.3562643229961395, 'redshifts/mse_bin_2': 0.27378448843955994, 'redshifts/mse_bin_3': 0.20476603507995605, 'redshifts/mse_bin_4': 0.2405945062637329, 'redshifts/mse_bin_5': 0.07433611899614334, 'redshifts/nmad': 0.11241758614778519, 'redshifts/nmad_bin_0': 0.21302452683448792, 'redshifts/nmad_bin_1': 0.1349407583475113, 'redshifts/nmad_bin_2': 0.08618056774139404, 'redshifts/nmad_bin_3': 0.06781559437513351, 'redshifts/nmad_bin_4': 0.0619368776679039, 'redshifts/nmad_bin_5': 0.03464846312999725, 'redshifts/outlier_fraction': 0.3268063962459564, 'redshifts/outlier_fraction_bin_0': 0.48826345801353455, 'redshifts/outlier_fraction_bin_1': 0.3533937335014343, 'redshifts/outlier_fraction_bin_2': 0.2571662664413452, 'redshifts/outlier_fraction_bin_3': 0.1892097294330597, 'redshifts/outlier_fraction_bin_4': 0.18646232783794403, 'redshifts/outlier_fraction_bin_5': 0.0920802503824234, 'redshifts/outlier_fraction_cata': 0.08890841156244278, 'redshifts/outlier_fraction_cata_bin_0': 0.13206471502780914, 'redshifts/outlier_fraction_cata_bin_1': 0.09762352705001831, 'redshifts/outlier_fraction_cata_bin_2': 0.07698607444763184, 'redshifts/outlier_fraction_cata_bin_3': 0.058510638773441315, 'redshifts/outlier_fraction_cata_bin_4': 0.060025542974472046, 'redshifts/outlier_fraction_cata_bin_5': 0.017529038712382317}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 97%|█████████▋| 373/383 [16:48:47<26:03, 156.37s/it]" + " 24%|██▎ | 368/1563 [32:41<1:44:18, 5.24s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([72371.])\n", - "{'redshifts/mse': 0.28469061851501465}\n" + "total num of pts: tensor([23957.])\n", + "total num of pts: tensor([8793., 5870., 2445., 1321., 785., 4743.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004117883741855621, 'redshifts/bias_bin_0': 0.03164943307638168, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.0031656830105930567, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.3103635907173157, 'redshifts/mse_bin_0': 0.43934452533721924, 'redshifts/mse_bin_1': 0.3563063442707062, 'redshifts/mse_bin_2': 0.27358564734458923, 'redshifts/mse_bin_3': 0.2053173929452896, 'redshifts/mse_bin_4': 0.24020302295684814, 'redshifts/mse_bin_5': 0.07421623915433884, 'redshifts/nmad': 0.11251968890428543, 'redshifts/nmad_bin_0': 0.21318696439266205, 'redshifts/nmad_bin_1': 0.1349780261516571, 'redshifts/nmad_bin_2': 0.086330845952034, 'redshifts/nmad_bin_3': 0.06786498427391052, 'redshifts/nmad_bin_4': 0.0619368776679039, 'redshifts/nmad_bin_5': 0.03463732451200485, 'redshifts/outlier_fraction': 0.32687732577323914, 'redshifts/outlier_fraction_bin_0': 0.4881155490875244, 'redshifts/outlier_fraction_bin_1': 0.3534923195838928, 'redshifts/outlier_fraction_bin_2': 0.257259726524353, 'redshifts/outlier_fraction_bin_3': 0.19076457619667053, 'redshifts/outlier_fraction_bin_4': 0.18726114928722382, 'redshifts/outlier_fraction_bin_5': 0.09192494302988052, 'redshifts/outlier_fraction_cata': 0.08890929818153381, 'redshifts/outlier_fraction_cata_bin_0': 0.1319231241941452, 'redshifts/outlier_fraction_cata_bin_1': 0.09795570373535156, 'redshifts/outlier_fraction_cata_bin_2': 0.07689161598682404, 'redshifts/outlier_fraction_cata_bin_3': 0.05828917399048805, 'redshifts/outlier_fraction_cata_bin_4': 0.05987261235713959, 'redshifts/outlier_fraction_cata_bin_5': 0.017499472945928574}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 98%|█████████▊| 374/383 [16:51:26<23:34, 157.15s/it]" + " 24%|██▎ | 369/1563 [32:46<1:43:05, 5.18s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([72559.])\n", - "{'redshifts/mse': 0.28455954790115356}\n" + "total num of pts: tensor([24037.])\n", + "total num of pts: tensor([8822., 5885., 2452., 1327., 790., 4761.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09047881513834, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.03143269568681717, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.0010387494694441557, 'redshifts/mse': 0.31095942854881287, 'redshifts/mse_bin_0': 0.43965303897857666, 'redshifts/mse_bin_1': 0.35858893394470215, 'redshifts/mse_bin_2': 0.2731323540210724, 'redshifts/mse_bin_3': 0.20695637166500092, 'redshifts/mse_bin_4': 0.2392968088388443, 'redshifts/mse_bin_5': 0.07398093491792679, 'redshifts/nmad': 0.11247067898511887, 'redshifts/nmad_bin_0': 0.21299336850643158, 'redshifts/nmad_bin_1': 0.13505078852176666, 'redshifts/nmad_bin_2': 0.08615682274103165, 'redshifts/nmad_bin_3': 0.06786301732063293, 'redshifts/nmad_bin_4': 0.0619368776679039, 'redshifts/nmad_bin_5': 0.03463970869779587, 'redshifts/outlier_fraction': 0.32691267132759094, 'redshifts/outlier_fraction_bin_0': 0.4882113039493561, 'redshifts/outlier_fraction_bin_1': 0.35395070910453796, 'redshifts/outlier_fraction_bin_2': 0.2573409378528595, 'redshifts/outlier_fraction_bin_3': 0.19065561890602112, 'redshifts/outlier_fraction_bin_4': 0.18734177947044373, 'redshifts/outlier_fraction_bin_5': 0.09157740324735641, 'redshifts/outlier_fraction_cata': 0.08902941644191742, 'redshifts/outlier_fraction_cata_bin_0': 0.13205622136592865, 'redshifts/outlier_fraction_cata_bin_1': 0.09838572889566422, 'redshifts/outlier_fraction_cata_bin_2': 0.07667210698127747, 'redshifts/outlier_fraction_cata_bin_3': 0.05877920240163803, 'redshifts/outlier_fraction_cata_bin_4': 0.05949367210268974, 'redshifts/outlier_fraction_cata_bin_5': 0.01743331179022789}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 98%|█████████▊| 375/383 [16:54:08<21:07, 158.43s/it]" + " 24%|██▎ | 370/1563 [32:50<1:37:28, 4.90s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([72743.])\n", - "{'redshifts/mse': 0.2849094271659851}\n" + "total num of pts: tensor([24085.])\n", + "total num of pts: tensor([8840., 5898., 2456., 1332., 790., 4769.])\n", + "{'redshifts/bias_abs': 0.07587627321481705, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.04554741829633713, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.004135986790060997, 'redshifts/bias_bin_0': 0.03125825896859169, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.0010440100450068712, 'redshifts/mse': 0.311278760433197, 'redshifts/mse_bin_0': 0.4395431876182556, 'redshifts/mse_bin_1': 0.3593897819519043, 'redshifts/mse_bin_2': 0.2735445499420166, 'redshifts/mse_bin_3': 0.20926624536514282, 'redshifts/mse_bin_4': 0.2392968088388443, 'redshifts/mse_bin_5': 0.07387242466211319, 'redshifts/nmad': 0.11240845173597336, 'redshifts/nmad_bin_0': 0.2127692848443985, 'redshifts/nmad_bin_1': 0.13508188724517822, 'redshifts/nmad_bin_2': 0.08615682274103165, 'redshifts/nmad_bin_3': 0.06781559437513351, 'redshifts/nmad_bin_4': 0.0619368776679039, 'redshifts/nmad_bin_5': 0.03470783680677414, 'redshifts/outlier_fraction': 0.32705003023147583, 'redshifts/outlier_fraction_bin_0': 0.4880090355873108, 'redshifts/outlier_fraction_bin_1': 0.35452696681022644, 'redshifts/outlier_fraction_bin_2': 0.2577361464500427, 'redshifts/outlier_fraction_bin_3': 0.19069069623947144, 'redshifts/outlier_fraction_bin_4': 0.18734177947044373, 'redshifts/outlier_fraction_bin_5': 0.09163346886634827, 'redshifts/outlier_fraction_cata': 0.08914262056350708, 'redshifts/outlier_fraction_cata_bin_0': 0.13190045952796936, 'redshifts/outlier_fraction_cata_bin_1': 0.09884706884622574, 'redshifts/outlier_fraction_cata_bin_2': 0.07695439457893372, 'redshifts/outlier_fraction_cata_bin_3': 0.05930930748581886, 'redshifts/outlier_fraction_cata_bin_4': 0.05949367210268974, 'redshifts/outlier_fraction_cata_bin_5': 0.017404068261384964}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 98%|█████████▊| 376/383 [16:56:48<18:32, 158.88s/it]" + " 24%|██▎ | 371/1563 [32:56<1:39:51, 5.03s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([72944.])\n", - "{'redshifts/mse': 0.2850492000579834}\n" + "total num of pts: tensor([24135.])\n", + "total num of pts: tensor([8860., 5912., 2464., 1333., 790., 4776.])\n", + "{'redshifts/bias_abs': 0.07589719444513321, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.04559105634689331, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004135986790060997, 'redshifts/bias_bin_0': 0.031421173363924026, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.0010446540545672178, 'redshifts/mse': 0.3115790784358978, 'redshifts/mse_bin_0': 0.43938174843788147, 'redshifts/mse_bin_1': 0.3595550060272217, 'redshifts/mse_bin_2': 0.27368396520614624, 'redshifts/mse_bin_3': 0.21427536010742188, 'redshifts/mse_bin_4': 0.2392968088388443, 'redshifts/mse_bin_5': 0.073769211769104, 'redshifts/nmad': 0.11242906749248505, 'redshifts/nmad_bin_0': 0.2126501500606537, 'redshifts/nmad_bin_1': 0.13499854505062103, 'redshifts/nmad_bin_2': 0.08615682274103165, 'redshifts/nmad_bin_3': 0.06786301732063293, 'redshifts/nmad_bin_4': 0.0619368776679039, 'redshifts/nmad_bin_5': 0.03463732451200485, 'redshifts/outlier_fraction': 0.3269111216068268, 'redshifts/outlier_fraction_bin_0': 0.48758465051651, 'redshifts/outlier_fraction_bin_1': 0.35419484972953796, 'redshifts/outlier_fraction_bin_2': 0.25811687111854553, 'redshifts/outlier_fraction_bin_3': 0.19129782915115356, 'redshifts/outlier_fraction_bin_4': 0.18734177947044373, 'redshifts/outlier_fraction_bin_5': 0.09149916470050812, 'redshifts/outlier_fraction_cata': 0.0891651138663292, 'redshifts/outlier_fraction_cata_bin_0': 0.1318284422159195, 'redshifts/outlier_fraction_cata_bin_1': 0.09878213703632355, 'redshifts/outlier_fraction_cata_bin_2': 0.07711038738489151, 'redshifts/outlier_fraction_cata_bin_3': 0.0600150041282177, 'redshifts/outlier_fraction_cata_bin_4': 0.05949367210268974, 'redshifts/outlier_fraction_cata_bin_5': 0.017378559336066246}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 98%|█████████▊| 377/383 [16:59:24<15:47, 157.98s/it]" + " 24%|██▍ | 372/1563 [33:00<1:35:44, 4.82s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([73123.])\n", - "{'redshifts/mse': 0.2851126492023468}\n" + "total num of pts: tensor([24210.])\n", + "total num of pts: tensor([8885., 5937., 2477., 1336., 792., 4783.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.058289311826229095, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004128248430788517, 'redshifts/bias_bin_0': 0.03125825896859169, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.0010440100450068712, 'redshifts/mse': 0.31152141094207764, 'redshifts/mse_bin_0': 0.43868160247802734, 'redshifts/mse_bin_1': 0.3605792224407196, 'redshifts/mse_bin_2': 0.27271386981010437, 'redshifts/mse_bin_3': 0.21394839882850647, 'redshifts/mse_bin_4': 0.2386934906244278, 'redshifts/mse_bin_5': 0.0738237276673317, 'redshifts/nmad': 0.11246727406978607, 'redshifts/nmad_bin_0': 0.21232269704341888, 'redshifts/nmad_bin_1': 0.1351085752248764, 'redshifts/nmad_bin_2': 0.08592695742845535, 'redshifts/nmad_bin_3': 0.06799246370792389, 'redshifts/nmad_bin_4': 0.061810825020074844, 'redshifts/nmad_bin_5': 0.034636374562978745, 'redshifts/outlier_fraction': 0.3268897235393524, 'redshifts/outlier_fraction_bin_0': 0.4871131181716919, 'redshifts/outlier_fraction_bin_1': 0.35421931743621826, 'redshifts/outlier_fraction_bin_2': 0.2583770751953125, 'redshifts/outlier_fraction_bin_3': 0.19236527383327484, 'redshifts/outlier_fraction_bin_4': 0.18686868250370026, 'redshifts/outlier_fraction_bin_5': 0.09157432615756989, 'redshifts/outlier_fraction_cata': 0.08913671970367432, 'redshifts/outlier_fraction_cata_bin_0': 0.13157005608081818, 'redshifts/outlier_fraction_cata_bin_1': 0.09920835494995117, 'redshifts/outlier_fraction_cata_bin_2': 0.0767056941986084, 'redshifts/outlier_fraction_cata_bin_3': 0.05988023802638054, 'redshifts/outlier_fraction_cata_bin_4': 0.05934343487024307, 'redshifts/outlier_fraction_cata_bin_5': 0.017353124916553497}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 99%|█████████▊| 378/383 [17:02:00<13:07, 157.59s/it]" + " 24%|██▍ | 373/1563 [33:04<1:31:55, 4.63s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([73315.])\n", - "{'redshifts/mse': 0.28506597876548767}\n" + "total num of pts: tensor([24270.])\n", + "total num of pts: tensor([8906., 5957., 2480., 1337., 793., 4797.])\n", + "{'redshifts/bias_abs': 0.07589719444513321, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05816011130809784, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023220153525471687, 'redshifts/bias': 0.004117883741855621, 'redshifts/bias_bin_0': 0.031147446483373642, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010387494694441557, 'redshifts/mse': 0.3116622567176819, 'redshifts/mse_bin_0': 0.43851572275161743, 'redshifts/mse_bin_1': 0.36160001158714294, 'redshifts/mse_bin_2': 0.2725255489349365, 'redshifts/mse_bin_3': 0.2142290621995926, 'redshifts/mse_bin_4': 0.23839356005191803, 'redshifts/mse_bin_5': 0.07363759726285934, 'redshifts/nmad': 0.11243221163749695, 'redshifts/nmad_bin_0': 0.21197521686553955, 'redshifts/nmad_bin_1': 0.13528989255428314, 'redshifts/nmad_bin_2': 0.08578673750162125, 'redshifts/nmad_bin_3': 0.06806408613920212, 'redshifts/nmad_bin_4': 0.06172969564795494, 'redshifts/nmad_bin_5': 0.03455737605690956, 'redshifts/outlier_fraction': 0.3270292580127716, 'redshifts/outlier_fraction_bin_0': 0.48686277866363525, 'redshifts/outlier_fraction_bin_1': 0.35504448413848877, 'redshifts/outlier_fraction_bin_2': 0.25846773386001587, 'redshifts/outlier_fraction_bin_3': 0.19296933710575104, 'redshifts/outlier_fraction_bin_4': 0.18663303554058075, 'redshifts/outlier_fraction_bin_5': 0.09151553362607956, 'redshifts/outlier_fraction_cata': 0.08916357904672623, 'redshifts/outlier_fraction_cata_bin_0': 0.13148438930511475, 'redshifts/outlier_fraction_cata_bin_1': 0.09954675287008286, 'redshifts/outlier_fraction_cata_bin_2': 0.07661290466785431, 'redshifts/outlier_fraction_cata_bin_3': 0.05983545258641243, 'redshifts/outlier_fraction_cata_bin_4': 0.05926860123872757, 'redshifts/outlier_fraction_cata_bin_5': 0.017302481457591057}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 99%|█████████▉| 379/383 [17:04:44<10:38, 159.57s/it]" + " 24%|██▍ | 374/1563 [33:10<1:38:11, 4.96s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([73533.])\n", - "{'redshifts/mse': 0.28489241003990173}\n" + "total num of pts: tensor([24318.])\n", + "total num of pts: tensor([8925., 5973., 2486., 1337., 795., 4802.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.004117883741855621, 'redshifts/bias_bin_0': 0.031080545857548714, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010228455066680908, 'redshifts/mse': 0.31167566776275635, 'redshifts/mse_bin_0': 0.43860960006713867, 'redshifts/mse_bin_1': 0.36134418845176697, 'redshifts/mse_bin_2': 0.2723582088947296, 'redshifts/mse_bin_3': 0.2142290621995926, 'redshifts/mse_bin_4': 0.2385270595550537, 'redshifts/mse_bin_5': 0.07357265800237656, 'redshifts/nmad': 0.11253101378679276, 'redshifts/nmad_bin_0': 0.21212713420391083, 'redshifts/nmad_bin_1': 0.13529057800769806, 'redshifts/nmad_bin_2': 0.08595096319913864, 'redshifts/nmad_bin_3': 0.06806408613920212, 'redshifts/nmad_bin_4': 0.06142307445406914, 'redshifts/nmad_bin_5': 0.034507375210523605, 'redshifts/outlier_fraction': 0.32724729180336, 'redshifts/outlier_fraction_bin_0': 0.48683473467826843, 'redshifts/outlier_fraction_bin_1': 0.35543277859687805, 'redshifts/outlier_fraction_bin_2': 0.2590506970882416, 'redshifts/outlier_fraction_bin_3': 0.19296933710575104, 'redshifts/outlier_fraction_bin_4': 0.18742138147354126, 'redshifts/outlier_fraction_bin_5': 0.0914202407002449, 'redshifts/outlier_fraction_cata': 0.08915206789970398, 'redshifts/outlier_fraction_cata_bin_0': 0.13154061138629913, 'redshifts/outlier_fraction_cata_bin_1': 0.09944751113653183, 'redshifts/outlier_fraction_cata_bin_2': 0.07642799615859985, 'redshifts/outlier_fraction_cata_bin_3': 0.05983545258641243, 'redshifts/outlier_fraction_cata_bin_4': 0.05911949649453163, 'redshifts/outlier_fraction_cata_bin_5': 0.017284464091062546}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 99%|█████████▉| 380/383 [17:07:22<07:57, 159.09s/it]" + " 24%|██▍ | 375/1563 [33:16<1:44:10, 5.26s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([73741.])\n", - "{'redshifts/mse': 0.2848207354545593}\n" + "total num of pts: tensor([24376.])\n", + "total num of pts: tensor([8948., 5992., 2490., 1339., 797., 4810.])\n", + "{'redshifts/bias_abs': 0.07598108798265457, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.045793768018484116, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.004128248430788517, 'redshifts/bias_bin_0': 0.031080545857548714, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.0009203851222991943, 'redshifts/mse': 0.3120288550853729, 'redshifts/mse_bin_0': 0.4386289119720459, 'redshifts/mse_bin_1': 0.36150985956192017, 'redshifts/mse_bin_2': 0.2728249728679657, 'redshifts/mse_bin_3': 0.21588969230651855, 'redshifts/mse_bin_4': 0.24247324466705322, 'redshifts/mse_bin_5': 0.07345937192440033, 'redshifts/nmad': 0.11263401806354523, 'redshifts/nmad_bin_0': 0.2118084728717804, 'redshifts/nmad_bin_1': 0.13551995158195496, 'redshifts/nmad_bin_2': 0.08615682274103165, 'redshifts/nmad_bin_3': 0.06813415884971619, 'redshifts/nmad_bin_4': 0.06105387955904007, 'redshifts/nmad_bin_5': 0.03446422144770622, 'redshifts/outlier_fraction': 0.32745322585105896, 'redshifts/outlier_fraction_bin_0': 0.48681268095970154, 'redshifts/outlier_fraction_bin_1': 0.35564085841178894, 'redshifts/outlier_fraction_bin_2': 0.25983935594558716, 'redshifts/outlier_fraction_bin_3': 0.1934279352426529, 'redshifts/outlier_fraction_bin_4': 0.1882057785987854, 'redshifts/outlier_fraction_bin_5': 0.09126818925142288, 'redshifts/outlier_fraction_cata': 0.08926813304424286, 'redshifts/outlier_fraction_cata_bin_0': 0.13164952397346497, 'redshifts/outlier_fraction_cata_bin_1': 0.09929906576871872, 'redshifts/outlier_fraction_cata_bin_2': 0.07670682668685913, 'redshifts/outlier_fraction_cata_bin_3': 0.06049290671944618, 'redshifts/outlier_fraction_cata_bin_4': 0.060225848108530045, 'redshifts/outlier_fraction_cata_bin_5': 0.017255717888474464}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " 99%|█████████▉| 381/383 [17:09:58<05:15, 157.96s/it]" + " 24%|██▍ | 376/1563 [33:23<1:52:29, 5.69s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([73928.])\n", - "{'redshifts/mse': 0.28465771675109863}\n" + "total num of pts: tensor([24434.])\n", + "total num of pts: tensor([8975., 6004., 2496., 1341., 800., 4818.])\n", + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.045793768018484116, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.004126113373786211, 'redshifts/bias_bin_0': 0.03107357956469059, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0009203851222991943, 'redshifts/mse': 0.31212514638900757, 'redshifts/mse_bin_0': 0.43865740299224854, 'redshifts/mse_bin_1': 0.3614402413368225, 'redshifts/mse_bin_2': 0.27321118116378784, 'redshifts/mse_bin_3': 0.21559257805347443, 'redshifts/mse_bin_4': 0.243777796626091, 'redshifts/mse_bin_5': 0.07334292680025101, 'redshifts/nmad': 0.11275731772184372, 'redshifts/nmad_bin_0': 0.21213744580745697, 'redshifts/nmad_bin_1': 0.1353122889995575, 'redshifts/nmad_bin_2': 0.08638893812894821, 'redshifts/nmad_bin_3': 0.0681321769952774, 'redshifts/nmad_bin_4': 0.06172969564795494, 'redshifts/nmad_bin_5': 0.03446422144770622, 'redshifts/outlier_fraction': 0.32765817642211914, 'redshifts/outlier_fraction_bin_0': 0.48701950907707214, 'redshifts/outlier_fraction_bin_1': 0.35559627413749695, 'redshifts/outlier_fraction_bin_2': 0.2604166567325592, 'redshifts/outlier_fraction_bin_3': 0.19313944876194, 'redshifts/outlier_fraction_bin_4': 0.1899999976158142, 'redshifts/outlier_fraction_bin_5': 0.09111664444208145, 'redshifts/outlier_fraction_cata': 0.08942457288503647, 'redshifts/outlier_fraction_cata_bin_0': 0.13181059062480927, 'redshifts/outlier_fraction_cata_bin_1': 0.09943371266126633, 'redshifts/outlier_fraction_cata_bin_2': 0.07692307978868484, 'redshifts/outlier_fraction_cata_bin_3': 0.06040268391370773, 'redshifts/outlier_fraction_cata_bin_4': 0.061250001192092896, 'redshifts/outlier_fraction_cata_bin_5': 0.017227064818143845}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|█████████▉| 382/383 [17:12:34<02:37, 157.55s/it]" + " 24%|██▍ | 377/1563 [33:29<1:56:05, 5.87s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([74138.])\n", - "{'redshifts/mse': 0.2848495543003082}\n" + "total num of pts: tensor([24494.])\n", + "total num of pts: tensor([8995., 6022., 2504., 1344., 802., 4827.])\n", + "{'redshifts/bias_abs': 0.07600503414869308, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.03096650168299675, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0009203851222991943, 'redshifts/mse': 0.3123273551464081, 'redshifts/mse_bin_0': 0.4381309449672699, 'redshifts/mse_bin_1': 0.3634919822216034, 'redshifts/mse_bin_2': 0.27235308289527893, 'redshifts/mse_bin_3': 0.21516452729701996, 'redshifts/mse_bin_4': 0.24329397082328796, 'redshifts/mse_bin_5': 0.07332467287778854, 'redshifts/nmad': 0.11277364939451218, 'redshifts/nmad_bin_0': 0.2117355465888977, 'redshifts/nmad_bin_1': 0.13553935289382935, 'redshifts/nmad_bin_2': 0.08585051447153091, 'redshifts/nmad_bin_3': 0.06806408613920212, 'redshifts/nmad_bin_4': 0.061855748295784, 'redshifts/nmad_bin_5': 0.03446422144770622, 'redshifts/outlier_fraction': 0.3275904357433319, 'redshifts/outlier_fraction_bin_0': 0.48671483993530273, 'redshifts/outlier_fraction_bin_1': 0.3558618426322937, 'redshifts/outlier_fraction_bin_2': 0.2595846652984619, 'redshifts/outlier_fraction_bin_3': 0.1927083283662796, 'redshifts/outlier_fraction_bin_4': 0.18952618539333344, 'redshifts/outlier_fraction_bin_5': 0.09156826138496399, 'redshifts/outlier_fraction_cata': 0.08936882764101028, 'redshifts/outlier_fraction_cata_bin_0': 0.13162867724895477, 'redshifts/outlier_fraction_cata_bin_1': 0.09963466972112656, 'redshifts/outlier_fraction_cata_bin_2': 0.07667731493711472, 'redshifts/outlier_fraction_cata_bin_3': 0.0602678582072258, 'redshifts/outlier_fraction_cata_bin_4': 0.06109725683927536, 'redshifts/outlier_fraction_cata_bin_5': 0.017194945365190506}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 383/383 [17:14:40<00:00, 147.94s/it]" + " 24%|██▍ | 378/1563 [33:33<1:44:02, 5.27s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "total num of pts: tensor([74290.])\n", - "{'redshifts/mse': 0.2848811149597168}\n" + "total num of pts: tensor([24545.])\n", + "total num of pts: tensor([9017., 6033., 2507., 1351., 803., 4834.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.045793768018484116, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.0041221678256988525, 'redshifts/bias_bin_0': 0.03096650168299675, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009967933874577284, 'redshifts/mse': 0.312458336353302, 'redshifts/mse_bin_0': 0.43851372599601746, 'redshifts/mse_bin_1': 0.3637976050376892, 'redshifts/mse_bin_2': 0.27205294370651245, 'redshifts/mse_bin_3': 0.2141336053609848, 'redshifts/mse_bin_4': 0.24299222230911255, 'redshifts/mse_bin_5': 0.07322487235069275, 'redshifts/nmad': 0.1127900704741478, 'redshifts/nmad_bin_0': 0.2117839902639389, 'redshifts/nmad_bin_1': 0.13557802140712738, 'redshifts/nmad_bin_2': 0.08608908206224442, 'redshifts/nmad_bin_3': 0.0681321769952774, 'redshifts/nmad_bin_4': 0.06164234131574631, 'redshifts/nmad_bin_5': 0.03450695425271988, 'redshifts/outlier_fraction': 0.32764309644699097, 'redshifts/outlier_fraction_bin_0': 0.4870799481868744, 'redshifts/outlier_fraction_bin_1': 0.35587602853775024, 'redshifts/outlier_fraction_bin_2': 0.25927403569221497, 'redshifts/outlier_fraction_bin_3': 0.19170984625816345, 'redshifts/outlier_fraction_bin_4': 0.18929016590118408, 'redshifts/outlier_fraction_bin_5': 0.09143566340208054, 'redshifts/outlier_fraction_cata': 0.08938684314489365, 'redshifts/outlier_fraction_cata_bin_0': 0.1316402405500412, 'redshifts/outlier_fraction_cata_bin_1': 0.09978451579809189, 'redshifts/outlier_fraction_cata_bin_2': 0.0765855610370636, 'redshifts/outlier_fraction_cata_bin_3': 0.05995558947324753, 'redshifts/outlier_fraction_cata_bin_4': 0.061021171510219574, 'redshifts/outlier_fraction_cata_bin_5': 0.017170045524835587}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 383/383 [17:14:40<00:00, 162.09s/it]\n" + " 24%|██▍ | 379/1563 [33:37<1:36:49, 4.91s/it]" ] - } - ], - "source": [ - "\n", - "# metrics = instantiate(notebook_cfg.encoder.metrics)\n", - "# matcher = instantiate(notebook_cfg.encoder.matcher)\n", - "# metrics.reset()\n", - "# # args\n", - "# lsst_root_dir = \"/data/scratch/dc2_nfs/\"\n", - "# image_lim = 80\n", - "# r_band_min_flux = 50\n", - "# tile_slen = 4\n", - "# max_sources_per_tile = 1\n", - "# tiles_to_crop = 1\n", - "\n", - "# lsst_predictor = LSSTPredictor(lsst_root_dir, r_band_min_flux, tile_slen, max_sources_per_tile, tiles_to_crop)\n", - "# for batch_idx, batch in tqdm(enumerate(dataset.val_dataloader()), total=len(dataset.test_dataloader())):\n", - "# if batch_idx >= 5:\n", - "# true_cat = TileCatalog(tile_slen=4, d=batch[\"tile_catalog\"])\n", - "# lsst_cat = lsst_predictor.predict(batch[\"wcs_header_str\"], image_lim, batch[\"image_height_index\"], batch[\"image_width_index\"])\n", - "# est_cat = est_redshifts_with_reg_change_to_cat(lsst_cat, reg, tile_slen=4)\n", - "# est_cat = est_cat.to_full_catalog()\n", - "# true_cat = true_cat.to_full_catalog()\n", - "# matching = matcher.match_catalogs(true_cat, est_cat)\n", - "# metrics.update(true_cat, est_cat, matching)\n", - "# print(metrics.compute())\n", - "\n", - "# lsst_out_dict = metrics.compute()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "{'redshifts/mse': 0.2848811149597168}" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "lsst_out_dict" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# LSST flux using table and Reg" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "# load lsst\n", - "GCRCatalogs.set_root_dir(lsst_root_dir)\n", - "lsst_catalog_gcr = GCRCatalogs.load_catalog(\"desc_dc2_run2.2i_dr6_object_with_truth_match\")\n", - "lsst_catalog_sub = lsst_catalog_gcr.get_quantities(\n", - " [\n", - " \"id_truth\",\n", - " \"objectId\",\n", - " \"ra\",\n", - " \"dec\",\n", - " \"truth_type\",\n", - " \"cModelFlux_u\",\n", - " \"cModelFluxErr_u\",\n", - " \"cModelFlux_g\",\n", - " \"cModelFluxErr_g\",\n", - " \"cModelFlux_r\",\n", - " \"cModelFluxErr_r\",\n", - " \"cModelFlux_i\",\n", - " \"cModelFluxErr_i\",\n", - " \"cModelFlux_z\",\n", - " \"cModelFluxErr_z\",\n", - " \"cModelFlux_y\",\n", - " \"cModelFluxErr_y\",\n", - " ]\n", - ")\n", - "lsst_catalog_df = pd.DataFrame(lsst_catalog_sub)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24601.])\n", + "total num of pts: tensor([9033., 6046., 2511., 1355., 803., 4853.])\n", + "{'redshifts/bias_abs': 0.07600503414869308, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023201074451208115, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.030922599136829376, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010078203631564975, 'redshifts/mse': 0.3121756613254547, 'redshifts/mse_bin_0': 0.43818730115890503, 'redshifts/mse_bin_1': 0.36357295513153076, 'redshifts/mse_bin_2': 0.27254748344421387, 'redshifts/mse_bin_3': 0.21396587789058685, 'redshifts/mse_bin_4': 0.24299222230911255, 'redshifts/mse_bin_5': 0.07296830415725708, 'redshifts/nmad': 0.11277638375759125, 'redshifts/nmad_bin_0': 0.21184907853603363, 'redshifts/nmad_bin_1': 0.1355811059474945, 'redshifts/nmad_bin_2': 0.08608908206224442, 'redshifts/nmad_bin_3': 0.0682610273361206, 'redshifts/nmad_bin_4': 0.06164234131574631, 'redshifts/nmad_bin_5': 0.0344850979745388, 'redshifts/outlier_fraction': 0.32750701904296875, 'redshifts/outlier_fraction_bin_0': 0.48688143491744995, 'redshifts/outlier_fraction_bin_1': 0.35593780875205994, 'redshifts/outlier_fraction_bin_2': 0.25965750217437744, 'redshifts/outlier_fraction_bin_3': 0.1926199197769165, 'redshifts/outlier_fraction_bin_4': 0.18929016590118408, 'redshifts/outlier_fraction_bin_5': 0.09107768535614014, 'redshifts/outlier_fraction_cata': 0.08930531144142151, 'redshifts/outlier_fraction_cata_bin_0': 0.13151776790618896, 'redshifts/outlier_fraction_cata_bin_1': 0.09973536431789398, 'redshifts/outlier_fraction_cata_bin_2': 0.07686180621385574, 'redshifts/outlier_fraction_cata_bin_3': 0.059778597205877304, 'redshifts/outlier_fraction_cata_bin_4': 0.061021171510219574, 'redshifts/outlier_fraction_cata_bin_5': 0.01710282266139984}\n" + ] + }, { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
cModelFlux_ucModelFluxErr_icModelFlux_icModelFlux_rcModelFluxErr_zobjectIdcModelFlux_zcModelFlux_yracModelFluxErr_gtruth_typecModelFluxErr_ucModelFluxErr_rcModelFluxErr_ycModelFlux_gdecid_truth
0146.45461734.417397348.178418292.78325397.71244715982501021353368494.3259101082.44666756.85186116.475798146.14605019.407432181.637104304.932765-38.6775858757401501
178.79568423.461088135.42262352.53099866.62309015982501021353393-42.73741549.05933456.79946511.117315131.51231912.540611141.24720892.324142-38.6776728750694182
2612.54364230.441242610.091646546.73518379.49001515982501021353397602.223260528.33095956.88324914.003504138.91434716.139224145.991693587.438707-38.6768808752812073
3-5.46608928.489701279.301964222.32094076.76257915982501021353414348.821004162.72341356.85816912.518181135.49972116.376210148.953503108.903666-38.6766768750045581
4-65.58673423.782355128.88060073.14821973.4019241598250102135341954.891883-6.05004356.88977812.093521134.34253413.494841135.01298533.328147-38.6764308751841300
......................................................
11116201NaNNaN0.0000005.01707269.75571117711783703784922120.3533290.00000058.39057711.8471161NaN12.534509NaN46.852902-34.2323915941110663
1111620285.14941222.113112-1.57301848.85363769.9020111771178370378492344.586495133.59329158.39044311.887254132.06051412.581314142.15684948.240569-34.2325525941110663
1111620311.21562322.10394227.37258521.041774NaN177117837037849240.000000222.78878858.39094211.841447132.05403912.525000140.84943060.196099-34.2324155952753448
11116204130.08054435.409613127.99472379.99587199.52476717711783703784925215.6435876.31193458.42155916.643941147.15289019.900337182.670056139.175022-34.2228025939749788
11116205-3.73137532.530474119.34999386.027198103.51827717711783703784926116.488390227.20588458.42209715.728824149.14095317.668650192.092610119.395623-34.2233705939718612
\n", - "

11116206 rows × 17 columns

\n", - "
" - ], - "text/plain": [ - " cModelFlux_u cModelFluxErr_i cModelFlux_i cModelFlux_r \\\n", - "0 146.454617 34.417397 348.178418 292.783253 \n", - "1 78.795684 23.461088 135.422623 52.530998 \n", - "2 612.543642 30.441242 610.091646 546.735183 \n", - "3 -5.466089 28.489701 279.301964 222.320940 \n", - "4 -65.586734 23.782355 128.880600 73.148219 \n", - "... ... ... ... ... \n", - "11116201 NaN NaN 0.000000 5.017072 \n", - "11116202 85.149412 22.113112 -1.573018 48.853637 \n", - "11116203 11.215623 22.103942 27.372585 21.041774 \n", - "11116204 130.080544 35.409613 127.994723 79.995871 \n", - "11116205 -3.731375 32.530474 119.349993 86.027198 \n", - "\n", - " cModelFluxErr_z objectId cModelFlux_z cModelFlux_y \\\n", - "0 97.712447 15982501021353368 494.325910 1082.446667 \n", - "1 66.623090 15982501021353393 -42.737415 49.059334 \n", - "2 79.490015 15982501021353397 602.223260 528.330959 \n", - "3 76.762579 15982501021353414 348.821004 162.723413 \n", - "4 73.401924 15982501021353419 54.891883 -6.050043 \n", - "... ... ... ... ... \n", - "11116201 69.755711 17711783703784922 120.353329 0.000000 \n", - "11116202 69.902011 17711783703784923 44.586495 133.593291 \n", - "11116203 NaN 17711783703784924 0.000000 222.788788 \n", - "11116204 99.524767 17711783703784925 215.643587 6.311934 \n", - "11116205 103.518277 17711783703784926 116.488390 227.205884 \n", - "\n", - " ra cModelFluxErr_g truth_type cModelFluxErr_u \\\n", - "0 56.851861 16.475798 1 46.146050 \n", - "1 56.799465 11.117315 1 31.512319 \n", - "2 56.883249 14.003504 1 38.914347 \n", - "3 56.858169 12.518181 1 35.499721 \n", - "4 56.889778 12.093521 1 34.342534 \n", - "... ... ... ... ... \n", - "11116201 58.390577 11.847116 1 NaN \n", - "11116202 58.390443 11.887254 1 32.060514 \n", - "11116203 58.390942 11.841447 1 32.054039 \n", - "11116204 58.421559 16.643941 1 47.152890 \n", - "11116205 58.422097 15.728824 1 49.140953 \n", - "\n", - " cModelFluxErr_r cModelFluxErr_y cModelFlux_g dec \\\n", - "0 19.407432 181.637104 304.932765 -38.677585 \n", - "1 12.540611 141.247208 92.324142 -38.677672 \n", - "2 16.139224 145.991693 587.438707 -38.676880 \n", - "3 16.376210 148.953503 108.903666 -38.676676 \n", - "4 13.494841 135.012985 33.328147 -38.676430 \n", - "... ... ... ... ... \n", - "11116201 12.534509 NaN 46.852902 -34.232391 \n", - "11116202 12.581314 142.156849 48.240569 -34.232552 \n", - "11116203 12.525000 140.849430 60.196099 -34.232415 \n", - "11116204 19.900337 182.670056 139.175022 -34.222802 \n", - "11116205 17.668650 192.092610 119.395623 -34.223370 \n", - "\n", - " id_truth \n", - "0 8757401501 \n", - "1 8750694182 \n", - "2 8752812073 \n", - "3 8750045581 \n", - "4 8751841300 \n", - "... ... \n", - "11116201 5941110663 \n", - "11116202 5941110663 \n", - "11116203 5952753448 \n", - "11116204 5939749788 \n", - "11116205 5939718612 \n", - "\n", - "[11116206 rows x 17 columns]" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "lsst_catalog_df" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], + "name": "stderr", + "output_type": "stream", + "text": [ + " 24%|██▍ | 380/1563 [33:42<1:39:58, 5.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24661.])\n", + "total num of pts: tensor([9061., 6060., 2515., 1357., 806., 4862.])\n", + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.1439315229654312, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.0041221678256988525, 'redshifts/bias_bin_0': 0.030915867537260056, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.0031656830105930567, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010228455066680908, 'redshifts/mse': 0.31280845403671265, 'redshifts/mse_bin_0': 0.43823593854904175, 'redshifts/mse_bin_1': 0.36501145362854004, 'redshifts/mse_bin_2': 0.27218741178512573, 'redshifts/mse_bin_3': 0.21366597712039948, 'redshifts/mse_bin_4': 0.24214880168437958, 'redshifts/mse_bin_5': 0.07438920438289642, 'redshifts/nmad': 0.11281168460845947, 'redshifts/nmad_bin_0': 0.2116318792104721, 'redshifts/nmad_bin_1': 0.13584105670452118, 'redshifts/nmad_bin_2': 0.08611282706260681, 'redshifts/nmad_bin_3': 0.0682610273361206, 'redshifts/nmad_bin_4': 0.06172969564795494, 'redshifts/nmad_bin_5': 0.03453541174530983, 'redshifts/outlier_fraction': 0.32768338918685913, 'redshifts/outlier_fraction_bin_0': 0.48670125007629395, 'redshifts/outlier_fraction_bin_1': 0.35660067200660706, 'redshifts/outlier_fraction_bin_2': 0.2596421539783478, 'redshifts/outlier_fraction_bin_3': 0.1923360377550125, 'redshifts/outlier_fraction_bin_4': 0.18982630968093872, 'redshifts/outlier_fraction_bin_5': 0.09111476689577103, 'redshifts/outlier_fraction_cata': 0.08941243588924408, 'redshifts/outlier_fraction_cata_bin_0': 0.1315528154373169, 'redshifts/outlier_fraction_cata_bin_1': 0.10000000149011612, 'redshifts/outlier_fraction_cata_bin_2': 0.07673956453800201, 'redshifts/outlier_fraction_cata_bin_3': 0.05969049409031868, 'redshifts/outlier_fraction_cata_bin_4': 0.06079404428601265, 'redshifts/outlier_fraction_cata_bin_5': 0.017276840284466743}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 24%|██▍ | 381/1563 [33:46<1:32:22, 4.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24726.])\n", + "total num of pts: tensor([9090., 6071., 2524., 1363., 807., 4871.])\n", + "{'redshifts/bias_abs': 0.07610651105642319, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05816011130809784, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02326059527695179, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.030915867537260056, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0009967933874577284, 'redshifts/mse': 0.3129865825176239, 'redshifts/mse_bin_0': 0.4386720061302185, 'redshifts/mse_bin_1': 0.3647024929523468, 'redshifts/mse_bin_2': 0.2734717130661011, 'redshifts/mse_bin_3': 0.2127872258424759, 'redshifts/mse_bin_4': 0.2418505847454071, 'redshifts/mse_bin_5': 0.07428180426359177, 'redshifts/nmad': 0.11293379217386246, 'redshifts/nmad_bin_0': 0.2120993733406067, 'redshifts/nmad_bin_1': 0.13589973747730255, 'redshifts/nmad_bin_2': 0.08568874001502991, 'redshifts/nmad_bin_3': 0.06851663440465927, 'redshifts/nmad_bin_4': 0.06172969564795494, 'redshifts/nmad_bin_5': 0.03457403555512428, 'redshifts/outlier_fraction': 0.32787349820137024, 'redshifts/outlier_fraction_bin_0': 0.48712870478630066, 'redshifts/outlier_fraction_bin_1': 0.3567781150341034, 'redshifts/outlier_fraction_bin_2': 0.25950872898101807, 'redshifts/outlier_fraction_bin_3': 0.19148936867713928, 'redshifts/outlier_fraction_bin_4': 0.18959107995033264, 'redshifts/outlier_fraction_bin_5': 0.09115171432495117, 'redshifts/outlier_fraction_cata': 0.08950093388557434, 'redshifts/outlier_fraction_cata_bin_0': 0.13190318644046783, 'redshifts/outlier_fraction_cata_bin_1': 0.09981881082057953, 'redshifts/outlier_fraction_cata_bin_2': 0.07686212658882141, 'redshifts/outlier_fraction_cata_bin_3': 0.05942773446440697, 'redshifts/outlier_fraction_cata_bin_4': 0.06071871146559715, 'redshifts/outlier_fraction_cata_bin_5': 0.017244918271899223}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 24%|██▍ | 382/1563 [33:52<1:38:20, 5.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24782.])\n", + "total num of pts: tensor([9109., 6083., 2530., 1371., 808., 4881.])\n", + "{'redshifts/bias_abs': 0.07610651105642319, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09180448949337006, 'redshifts/bias_abs_bin_2': 0.05809900537133217, 'redshifts/bias_abs_bin_3': 0.045793768018484116, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004111464135348797, 'redshifts/bias_bin_0': 0.030850563198328018, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.003073889994993806, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.0009203851222991943, 'redshifts/mse': 0.3129928410053253, 'redshifts/mse_bin_0': 0.4385955333709717, 'redshifts/mse_bin_1': 0.3655532896518707, 'redshifts/mse_bin_2': 0.27283015847206116, 'redshifts/mse_bin_3': 0.2117433100938797, 'redshifts/mse_bin_4': 0.24155506491661072, 'redshifts/mse_bin_5': 0.07417046278715134, 'redshifts/nmad': 0.11293139308691025, 'redshifts/nmad_bin_0': 0.2120799571275711, 'redshifts/nmad_bin_1': 0.13616211712360382, 'redshifts/nmad_bin_2': 0.0853273794054985, 'redshifts/nmad_bin_3': 0.06870976090431213, 'redshifts/nmad_bin_4': 0.06177699938416481, 'redshifts/nmad_bin_5': 0.03456754609942436, 'redshifts/outlier_fraction': 0.3279799818992615, 'redshifts/outlier_fraction_bin_0': 0.48710066080093384, 'redshifts/outlier_fraction_bin_1': 0.3575538396835327, 'redshifts/outlier_fraction_bin_2': 0.25889328122138977, 'redshifts/outlier_fraction_bin_3': 0.19037199020385742, 'redshifts/outlier_fraction_bin_4': 0.18935643136501312, 'redshifts/outlier_fraction_bin_5': 0.09157959371805191, 'redshifts/outlier_fraction_cata': 0.08950044214725494, 'redshifts/outlier_fraction_cata_bin_0': 0.13195741176605225, 'redshifts/outlier_fraction_cata_bin_1': 0.09995067864656448, 'redshifts/outlier_fraction_cata_bin_2': 0.07667984068393707, 'redshifts/outlier_fraction_cata_bin_3': 0.05908096209168434, 'redshifts/outlier_fraction_cata_bin_4': 0.06064356490969658, 'redshifts/outlier_fraction_cata_bin_5': 0.01720958761870861}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▍ | 383/1563 [33:57<1:37:06, 4.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24839.])\n", + "total num of pts: tensor([9131., 6094., 2537., 1372., 809., 4896.])\n", + "{'redshifts/bias_abs': 0.07612184435129166, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.0915614441037178, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004090091213583946, 'redshifts/bias_bin_0': 0.030850563198328018, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010228455066680908, 'redshifts/mse': 0.3126859962940216, 'redshifts/mse_bin_0': 0.4383133351802826, 'redshifts/mse_bin_1': 0.3653405010700226, 'redshifts/mse_bin_2': 0.2721686065196991, 'redshifts/mse_bin_3': 0.2115953117609024, 'redshifts/mse_bin_4': 0.24125981330871582, 'redshifts/mse_bin_5': 0.07397986948490143, 'redshifts/nmad': 0.11294785141944885, 'redshifts/nmad_bin_0': 0.21210813522338867, 'redshifts/nmad_bin_1': 0.1360331028699875, 'redshifts/nmad_bin_2': 0.08548720926046371, 'redshifts/nmad_bin_3': 0.06870976090431213, 'redshifts/nmad_bin_4': 0.06172969564795494, 'redshifts/nmad_bin_5': 0.034643761813640594, 'redshifts/outlier_fraction': 0.32787150144577026, 'redshifts/outlier_fraction_bin_0': 0.4870222210884094, 'redshifts/outlier_fraction_bin_1': 0.35740071535110474, 'redshifts/outlier_fraction_bin_2': 0.2589672803878784, 'redshifts/outlier_fraction_bin_3': 0.1902332305908203, 'redshifts/outlier_fraction_bin_4': 0.18912237882614136, 'redshifts/outlier_fraction_bin_5': 0.09150326997041702, 'redshifts/outlier_fraction_cata': 0.08941584080457687, 'redshifts/outlier_fraction_cata_bin_0': 0.13185849785804749, 'redshifts/outlier_fraction_cata_bin_1': 0.09993436187505722, 'redshifts/outlier_fraction_cata_bin_2': 0.07646826654672623, 'redshifts/outlier_fraction_cata_bin_3': 0.05903790146112442, 'redshifts/outlier_fraction_cata_bin_4': 0.06056860461831093, 'redshifts/outlier_fraction_cata_bin_5': 0.01715686358511448}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▍ | 384/1563 [34:03<1:43:08, 5.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24900.])\n", + "total num of pts: tensor([9153., 6107., 2548., 1380., 809., 4903.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.05809900537133217, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.00409969687461853, 'redshifts/bias_bin_0': 0.030922599136829376, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.0031656830105930567, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010387494694441557, 'redshifts/mse': 0.3130244314670563, 'redshifts/mse_bin_0': 0.43921566009521484, 'redshifts/mse_bin_1': 0.36567455530166626, 'redshifts/mse_bin_2': 0.27118927240371704, 'redshifts/mse_bin_3': 0.21200890839099884, 'redshifts/mse_bin_4': 0.24125981330871582, 'redshifts/mse_bin_5': 0.0738840252161026, 'redshifts/nmad': 0.11299200356006622, 'redshifts/nmad_bin_0': 0.21236684918403625, 'redshifts/nmad_bin_1': 0.13595904409885406, 'redshifts/nmad_bin_2': 0.08541185408830643, 'redshifts/nmad_bin_3': 0.06896974891424179, 'redshifts/nmad_bin_4': 0.06172969564795494, 'redshifts/nmad_bin_5': 0.03466733917593956, 'redshifts/outlier_fraction': 0.32799196243286133, 'redshifts/outlier_fraction_bin_0': 0.4874904453754425, 'redshifts/outlier_fraction_bin_1': 0.3574586510658264, 'redshifts/outlier_fraction_bin_2': 0.25824177265167236, 'redshifts/outlier_fraction_bin_3': 0.19057971239089966, 'redshifts/outlier_fraction_bin_4': 0.18912237882614136, 'redshifts/outlier_fraction_bin_5': 0.09137263149023056, 'redshifts/outlier_fraction_cata': 0.08943775296211243, 'redshifts/outlier_fraction_cata_bin_0': 0.1319785863161087, 'redshifts/outlier_fraction_cata_bin_1': 0.09988537430763245, 'redshifts/outlier_fraction_cata_bin_2': 0.07613814622163773, 'redshifts/outlier_fraction_cata_bin_3': 0.05942029133439064, 'redshifts/outlier_fraction_cata_bin_4': 0.06056860461831093, 'redshifts/outlier_fraction_cata_bin_5': 0.017132367938756943}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▍ | 385/1563 [34:07<1:39:11, 5.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([24967.])\n", + "total num of pts: tensor([9181., 6128., 2555., 1383., 813., 4907.])\n", + "{'redshifts/bias_abs': 0.07620159536600113, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.004117883741855621, 'redshifts/bias_bin_0': 0.030915867537260056, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.003073889994993806, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010269880294799805, 'redshifts/mse': 0.31283441185951233, 'redshifts/mse_bin_0': 0.43898266553878784, 'redshifts/mse_bin_1': 0.3651587665081024, 'redshifts/mse_bin_2': 0.2705717980861664, 'redshifts/mse_bin_3': 0.2115924209356308, 'redshifts/mse_bin_4': 0.2414083480834961, 'redshifts/mse_bin_5': 0.07384134083986282, 'redshifts/nmad': 0.11308883130550385, 'redshifts/nmad_bin_0': 0.21237127482891083, 'redshifts/nmad_bin_1': 0.13580262660980225, 'redshifts/nmad_bin_2': 0.08533500880002975, 'redshifts/nmad_bin_3': 0.06917448341846466, 'redshifts/nmad_bin_4': 0.06164234131574631, 'redshifts/nmad_bin_5': 0.03462227061390877, 'redshifts/outlier_fraction': 0.3279929459095001, 'redshifts/outlier_fraction_bin_0': 0.48741966485977173, 'redshifts/outlier_fraction_bin_1': 0.35737597942352295, 'redshifts/outlier_fraction_bin_2': 0.2579256296157837, 'redshifts/outlier_fraction_bin_3': 0.19016630947589874, 'redshifts/outlier_fraction_bin_4': 0.1894218921661377, 'redshifts/outlier_fraction_bin_5': 0.09129814803600311, 'redshifts/outlier_fraction_cata': 0.08931790292263031, 'redshifts/outlier_fraction_cata_bin_0': 0.13190284371376038, 'redshifts/outlier_fraction_cata_bin_1': 0.09954307973384857, 'redshifts/outlier_fraction_cata_bin_2': 0.07592955231666565, 'redshifts/outlier_fraction_cata_bin_3': 0.05929139629006386, 'redshifts/outlier_fraction_cata_bin_4': 0.060270603746175766, 'redshifts/outlier_fraction_cata_bin_5': 0.01711840182542801}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▍ | 386/1563 [34:12<1:37:29, 4.97s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25025.])\n", + "total num of pts: tensor([9200., 6139., 2559., 1389., 815., 4923.])\n", + "{'redshifts/bias_abs': 0.07608582079410553, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.004100842867046595, 'redshifts/bias_bin_0': 0.030691716820001602, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010440100450068712, 'redshifts/mse': 0.3124462068080902, 'redshifts/mse_bin_0': 0.43838393688201904, 'redshifts/mse_bin_1': 0.36490142345428467, 'redshifts/mse_bin_2': 0.2708536684513092, 'redshifts/mse_bin_3': 0.21160396933555603, 'redshifts/mse_bin_4': 0.24082793295383453, 'redshifts/mse_bin_5': 0.07361337542533875, 'redshifts/nmad': 0.11296213418245316, 'redshifts/nmad_bin_0': 0.2121429443359375, 'redshifts/nmad_bin_1': 0.13565564155578613, 'redshifts/nmad_bin_2': 0.0854291319847107, 'redshifts/nmad_bin_3': 0.06907370686531067, 'redshifts/nmad_bin_4': 0.06142307445406914, 'redshifts/nmad_bin_5': 0.03457695618271828, 'redshifts/outlier_fraction': 0.3277522623538971, 'redshifts/outlier_fraction_bin_0': 0.4872826039791107, 'redshifts/outlier_fraction_bin_1': 0.3570614159107208, 'redshifts/outlier_fraction_bin_2': 0.2579132616519928, 'redshifts/outlier_fraction_bin_3': 0.1907847374677658, 'redshifts/outlier_fraction_bin_4': 0.18895705044269562, 'redshifts/outlier_fraction_bin_5': 0.09100142121315002, 'redshifts/outlier_fraction_cata': 0.08927072584629059, 'redshifts/outlier_fraction_cata_bin_0': 0.13173912465572357, 'redshifts/outlier_fraction_cata_bin_1': 0.09952761232852936, 'redshifts/outlier_fraction_cata_bin_2': 0.07620164006948471, 'redshifts/outlier_fraction_cata_bin_3': 0.059755221009254456, 'redshifts/outlier_fraction_cata_bin_4': 0.06012269854545593, 'redshifts/outlier_fraction_cata_bin_5': 0.01706276647746563}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▍ | 387/1563 [34:16<1:34:58, 4.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25082.])\n", + "total num of pts: tensor([9220., 6155., 2564., 1393., 819., 4931.])\n", + "{'redshifts/bias_abs': 0.07608582079410553, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.058072131127119064, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.004111464135348797, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010387494694441557, 'redshifts/mse': 0.31299927830696106, 'redshifts/mse_bin_0': 0.4388536512851715, 'redshifts/mse_bin_1': 0.3654754161834717, 'redshifts/mse_bin_2': 0.2703336775302887, 'redshifts/mse_bin_3': 0.21308135986328125, 'redshifts/mse_bin_4': 0.2472885698080063, 'redshifts/mse_bin_5': 0.07350029796361923, 'redshifts/nmad': 0.11297456175088882, 'redshifts/nmad_bin_0': 0.21282292902469635, 'redshifts/nmad_bin_1': 0.13574020564556122, 'redshifts/nmad_bin_2': 0.08507994562387466, 'redshifts/nmad_bin_3': 0.06907724589109421, 'redshifts/nmad_bin_4': 0.06172969564795494, 'redshifts/nmad_bin_5': 0.0345691554248333, 'redshifts/outlier_fraction': 0.3279244005680084, 'redshifts/outlier_fraction_bin_0': 0.4876355826854706, 'redshifts/outlier_fraction_bin_1': 0.3572705090045929, 'redshifts/outlier_fraction_bin_2': 0.25741028785705566, 'redshifts/outlier_fraction_bin_3': 0.1909547746181488, 'redshifts/outlier_fraction_bin_4': 0.190476194024086, 'redshifts/outlier_fraction_bin_5': 0.09085378050804138, 'redshifts/outlier_fraction_cata': 0.08946654945611954, 'redshifts/outlier_fraction_cata_bin_0': 0.13188719749450684, 'redshifts/outlier_fraction_cata_bin_1': 0.09991876780986786, 'redshifts/outlier_fraction_cata_bin_2': 0.07605304569005966, 'redshifts/outlier_fraction_cata_bin_3': 0.060301508754491806, 'redshifts/outlier_fraction_cata_bin_4': 0.061050061136484146, 'redshifts/outlier_fraction_cata_bin_5': 0.01703508384525776}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▍ | 388/1563 [34:20<1:28:45, 4.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25141.])\n", + "total num of pts: tensor([9242., 6173., 2570., 1398., 821., 4937.])\n", + "{'redshifts/bias_abs': 0.07616924494504929, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05809900537133217, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02321484684944153, 'redshifts/bias': 0.004111929330974817, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010269880294799805, 'redshifts/mse': 0.31284505128860474, 'redshifts/mse_bin_0': 0.43817657232284546, 'redshifts/mse_bin_1': 0.3653968870639801, 'redshifts/mse_bin_2': 0.27128905057907104, 'redshifts/mse_bin_3': 0.2124091386795044, 'redshifts/mse_bin_4': 0.24750448763370514, 'redshifts/mse_bin_5': 0.07345616817474365, 'redshifts/nmad': 0.11307089775800705, 'redshifts/nmad_bin_0': 0.21235927939414978, 'redshifts/nmad_bin_1': 0.13586466014385223, 'redshifts/nmad_bin_2': 0.08524135500192642, 'redshifts/nmad_bin_3': 0.06905318051576614, 'redshifts/nmad_bin_4': 0.06142307445406914, 'redshifts/nmad_bin_5': 0.03458445146679878, 'redshifts/outlier_fraction': 0.3279901444911957, 'redshifts/outlier_fraction_bin_0': 0.48734039068222046, 'redshifts/outlier_fraction_bin_1': 0.35752469301223755, 'redshifts/outlier_fraction_bin_2': 0.2579766511917114, 'redshifts/outlier_fraction_bin_3': 0.19027180969715118, 'redshifts/outlier_fraction_bin_4': 0.19123020768165588, 'redshifts/outlier_fraction_bin_5': 0.09094592183828354, 'redshifts/outlier_fraction_cata': 0.08933614194393158, 'redshifts/outlier_fraction_cata_bin_0': 0.13157325983047485, 'redshifts/outlier_fraction_cata_bin_1': 0.09978940337896347, 'redshifts/outlier_fraction_cata_bin_2': 0.07626459002494812, 'redshifts/outlier_fraction_cata_bin_3': 0.06008583679795265, 'redshifts/outlier_fraction_cata_bin_4': 0.06090134009718895, 'redshifts/outlier_fraction_cata_bin_5': 0.017014380544424057}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▍ | 389/1563 [34:25<1:31:37, 4.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25206.])\n", + "total num of pts: tensor([9263., 6191., 2579., 1403., 824., 4946.])\n", + "{'redshifts/bias_abs': 0.07613729685544968, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.058121372014284134, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023201074451208115, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010440100450068712, 'redshifts/mse': 0.31272003054618835, 'redshifts/mse_bin_0': 0.43789443373680115, 'redshifts/mse_bin_1': 0.3657766878604889, 'redshifts/mse_bin_2': 0.27095288038253784, 'redshifts/mse_bin_3': 0.2116856426000595, 'redshifts/mse_bin_4': 0.2466157227754593, 'redshifts/mse_bin_5': 0.07332992553710938, 'redshifts/nmad': 0.11303270608186722, 'redshifts/nmad_bin_0': 0.21227124333381653, 'redshifts/nmad_bin_1': 0.1359982043504715, 'redshifts/nmad_bin_2': 0.0857958048582077, 'redshifts/nmad_bin_3': 0.06907370686531067, 'redshifts/nmad_bin_4': 0.06126410886645317, 'redshifts/nmad_bin_5': 0.03454957529902458, 'redshifts/outlier_fraction': 0.32805681228637695, 'redshifts/outlier_fraction_bin_0': 0.4874230921268463, 'redshifts/outlier_fraction_bin_1': 0.3579389452934265, 'redshifts/outlier_fraction_bin_2': 0.25823962688446045, 'redshifts/outlier_fraction_bin_3': 0.18959373235702515, 'redshifts/outlier_fraction_bin_4': 0.19053398072719574, 'redshifts/outlier_fraction_bin_5': 0.09078042954206467, 'redshifts/outlier_fraction_cata': 0.0893041342496872, 'redshifts/outlier_fraction_cata_bin_0': 0.13149087131023407, 'redshifts/outlier_fraction_cata_bin_1': 0.09998384863138199, 'redshifts/outlier_fraction_cata_bin_2': 0.0759984478354454, 'redshifts/outlier_fraction_cata_bin_3': 0.05987170338630676, 'redshifts/outlier_fraction_cata_bin_4': 0.060679610818624496, 'redshifts/outlier_fraction_cata_bin_5': 0.01698342151939869}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▍ | 390/1563 [34:33<1:46:56, 5.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25267.])\n", + "total num of pts: tensor([9290., 6205., 2586., 1405., 825., 4956.])\n", + "{'redshifts/bias_abs': 0.07616522163152695, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05816011130809784, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.004128248430788517, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010440100450068712, 'redshifts/mse': 0.31261739134788513, 'redshifts/mse_bin_0': 0.43765348196029663, 'redshifts/mse_bin_1': 0.3652772903442383, 'redshifts/mse_bin_2': 0.2706863284111023, 'redshifts/mse_bin_3': 0.21140936017036438, 'redshifts/mse_bin_4': 0.24632646143436432, 'redshifts/mse_bin_5': 0.0739133432507515, 'redshifts/nmad': 0.11305537819862366, 'redshifts/nmad_bin_0': 0.21186862885951996, 'redshifts/nmad_bin_1': 0.1359589695930481, 'redshifts/nmad_bin_2': 0.08648572862148285, 'redshifts/nmad_bin_3': 0.06917448341846466, 'redshifts/nmad_bin_4': 0.06129701808094978, 'redshifts/nmad_bin_5': 0.03457695618271828, 'redshifts/outlier_fraction': 0.32785847783088684, 'redshifts/outlier_fraction_bin_0': 0.4869752526283264, 'redshifts/outlier_fraction_bin_1': 0.35761481523513794, 'redshifts/outlier_fraction_bin_2': 0.25831398367881775, 'redshifts/outlier_fraction_bin_3': 0.18932384252548218, 'redshifts/outlier_fraction_bin_4': 0.1903030276298523, 'redshifts/outlier_fraction_bin_5': 0.09079903364181519, 'redshifts/outlier_fraction_cata': 0.0892864242196083, 'redshifts/outlier_fraction_cata_bin_0': 0.13153928518295288, 'redshifts/outlier_fraction_cata_bin_1': 0.09975825995206833, 'redshifts/outlier_fraction_cata_bin_2': 0.07579272985458374, 'redshifts/outlier_fraction_cata_bin_3': 0.05978647619485855, 'redshifts/outlier_fraction_cata_bin_4': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_5': 0.01715092733502388}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▌ | 391/1563 [34:46<2:32:48, 7.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25346.])\n", + "total num of pts: tensor([9309., 6224., 2593., 1412., 830., 4978.])\n", + "{'redshifts/bias_abs': 0.07602231949567795, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05816011130809784, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023212501779198647, 'redshifts/bias': 0.004128248430788517, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010269880294799805, 'redshifts/mse': 0.31230053305625916, 'redshifts/mse_bin_0': 0.43802890181541443, 'redshifts/mse_bin_1': 0.3649061322212219, 'redshifts/mse_bin_2': 0.26998665928840637, 'redshifts/mse_bin_3': 0.21039623022079468, 'redshifts/mse_bin_4': 0.24486151337623596, 'redshifts/mse_bin_5': 0.07360265403985977, 'redshifts/nmad': 0.11281518638134003, 'redshifts/nmad_bin_0': 0.21231071650981903, 'redshifts/nmad_bin_1': 0.13590309023857117, 'redshifts/nmad_bin_2': 0.08641286939382553, 'redshifts/nmad_bin_3': 0.06905318051576614, 'redshifts/nmad_bin_4': 0.0604560412466526, 'redshifts/nmad_bin_5': 0.03458445146679878, 'redshifts/outlier_fraction': 0.3276651203632355, 'redshifts/outlier_fraction_bin_0': 0.48748522996902466, 'redshifts/outlier_fraction_bin_1': 0.3576478064060211, 'redshifts/outlier_fraction_bin_2': 0.25761666893959045, 'redshifts/outlier_fraction_bin_3': 0.1883852630853653, 'redshifts/outlier_fraction_bin_4': 0.18915662169456482, 'redshifts/outlier_fraction_bin_5': 0.09039775282144547, 'redshifts/outlier_fraction_cata': 0.08924484997987747, 'redshifts/outlier_fraction_cata_bin_0': 0.13170050084590912, 'redshifts/outlier_fraction_cata_bin_1': 0.09977506101131439, 'redshifts/outlier_fraction_cata_bin_2': 0.07558812201023102, 'redshifts/outlier_fraction_cata_bin_3': 0.059490084648132324, 'redshifts/outlier_fraction_cata_bin_4': 0.0602409653365612, 'redshifts/outlier_fraction_cata_bin_5': 0.017075130715966225}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▌ | 392/1563 [34:50<2:09:42, 6.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25405.])\n", + "total num of pts: tensor([9328., 6242., 2598., 1416., 831., 4990.])\n", + "{'redshifts/bias_abs': 0.07607142627239227, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05816011130809784, 'redshifts/bias_abs_bin_3': 0.045793768018484116, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023220153525471687, 'redshifts/bias': 0.004135464783757925, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.0010269880294799805, 'redshifts/mse': 0.31234368681907654, 'redshifts/mse_bin_0': 0.4384216070175171, 'redshifts/mse_bin_1': 0.3647404909133911, 'redshifts/mse_bin_2': 0.27012068033218384, 'redshifts/mse_bin_3': 0.20981833338737488, 'redshifts/mse_bin_4': 0.24456927180290222, 'redshifts/mse_bin_5': 0.07348152250051498, 'redshifts/nmad': 0.11286725848913193, 'redshifts/nmad_bin_0': 0.21251535415649414, 'redshifts/nmad_bin_1': 0.1359422504901886, 'redshifts/nmad_bin_2': 0.08641286939382553, 'redshifts/nmad_bin_3': 0.06888256222009659, 'redshifts/nmad_bin_4': 0.0603206492960453, 'redshifts/nmad_bin_5': 0.03462227061390877, 'redshifts/outlier_fraction': 0.32780948281288147, 'redshifts/outlier_fraction_bin_0': 0.48767152428627014, 'redshifts/outlier_fraction_bin_1': 0.35789811611175537, 'redshifts/outlier_fraction_bin_2': 0.2578906714916229, 'redshifts/outlier_fraction_bin_3': 0.1878531128168106, 'redshifts/outlier_fraction_bin_4': 0.1889290064573288, 'redshifts/outlier_fraction_bin_5': 0.09058116376399994, 'redshifts/outlier_fraction_cata': 0.08939184993505478, 'redshifts/outlier_fraction_cata_bin_0': 0.1320754736661911, 'redshifts/outlier_fraction_cata_bin_1': 0.0998077541589737, 'redshifts/outlier_fraction_cata_bin_2': 0.07582756131887436, 'redshifts/outlier_fraction_cata_bin_3': 0.05932203307747841, 'redshifts/outlier_fraction_cata_bin_4': 0.060168471187353134, 'redshifts/outlier_fraction_cata_bin_5': 0.017034068703651428}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▌ | 393/1563 [34:57<2:13:32, 6.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25467.])\n", + "total num of pts: tensor([9348., 6258., 2603., 1422., 833., 5003.])\n", + "{'redshifts/bias_abs': 0.07608582079410553, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.0915614441037178, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.004126113373786211, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010387494694441557, 'redshifts/mse': 0.3120599389076233, 'redshifts/mse_bin_0': 0.4379741847515106, 'redshifts/mse_bin_1': 0.3648363947868347, 'redshifts/mse_bin_2': 0.2698249816894531, 'redshifts/mse_bin_3': 0.2089756429195404, 'redshifts/mse_bin_4': 0.24419157207012177, 'redshifts/mse_bin_5': 0.07335079461336136, 'redshifts/nmad': 0.1129528358578682, 'redshifts/nmad_bin_0': 0.21215081214904785, 'redshifts/nmad_bin_1': 0.13605506718158722, 'redshifts/nmad_bin_2': 0.08647415041923523, 'redshifts/nmad_bin_3': 0.0684894248843193, 'redshifts/nmad_bin_4': 0.0604560412466526, 'redshifts/nmad_bin_5': 0.03470003604888916, 'redshifts/outlier_fraction': 0.3277967572212219, 'redshifts/outlier_fraction_bin_0': 0.48737698793411255, 'redshifts/outlier_fraction_bin_1': 0.35826143622398376, 'redshifts/outlier_fraction_bin_2': 0.2581636607646942, 'redshifts/outlier_fraction_bin_3': 0.18706047534942627, 'redshifts/outlier_fraction_bin_4': 0.18967586755752563, 'redshifts/outlier_fraction_bin_5': 0.09074555337429047, 'redshifts/outlier_fraction_cata': 0.0892920270562172, 'redshifts/outlier_fraction_cata_bin_0': 0.1318998783826828, 'redshifts/outlier_fraction_cata_bin_1': 0.0998721644282341, 'redshifts/outlier_fraction_cata_bin_2': 0.0756819024682045, 'redshifts/outlier_fraction_cata_bin_3': 0.05907173082232475, 'redshifts/outlier_fraction_cata_bin_4': 0.06002400815486908, 'redshifts/outlier_fraction_cata_bin_5': 0.016989806666970253}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▌ | 394/1563 [35:02<2:01:04, 6.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25543.])\n", + "total num of pts: tensor([9379., 6276., 2613., 1422., 833., 5020.])\n", + "{'redshifts/bias_abs': 0.07607142627239227, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.0041221678256988525, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010269880294799805, 'redshifts/mse': 0.3122277557849884, 'redshifts/mse_bin_0': 0.43801259994506836, 'redshifts/mse_bin_1': 0.36476248502731323, 'redshifts/mse_bin_2': 0.27173131704330444, 'redshifts/mse_bin_3': 0.2089756429195404, 'redshifts/mse_bin_4': 0.24419157207012177, 'redshifts/mse_bin_5': 0.07315889000892639, 'redshifts/nmad': 0.1129472628235817, 'redshifts/nmad_bin_0': 0.2124919444322586, 'redshifts/nmad_bin_1': 0.13597187399864197, 'redshifts/nmad_bin_2': 0.08698315173387527, 'redshifts/nmad_bin_3': 0.0684894248843193, 'redshifts/nmad_bin_4': 0.0604560412466526, 'redshifts/nmad_bin_5': 0.03473273664712906, 'redshifts/outlier_fraction': 0.3279176354408264, 'redshifts/outlier_fraction_bin_0': 0.4874719977378845, 'redshifts/outlier_fraction_bin_1': 0.3583492636680603, 'redshifts/outlier_fraction_bin_2': 0.2590891718864441, 'redshifts/outlier_fraction_bin_3': 0.18706047534942627, 'redshifts/outlier_fraction_bin_4': 0.18967586755752563, 'redshifts/outlier_fraction_bin_5': 0.09043824672698975, 'redshifts/outlier_fraction_cata': 0.08945699781179428, 'redshifts/outlier_fraction_cata_bin_0': 0.13210363686084747, 'redshifts/outlier_fraction_cata_bin_1': 0.09990439563989639, 'redshifts/outlier_fraction_cata_bin_2': 0.07654037326574326, 'redshifts/outlier_fraction_cata_bin_3': 0.05907173082232475, 'redshifts/outlier_fraction_cata_bin_4': 0.06002400815486908, 'redshifts/outlier_fraction_cata_bin_5': 0.016932271420955658}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▌ | 395/1563 [35:07<1:52:20, 5.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25605.])\n", + "total num of pts: tensor([9402., 6299., 2617., 1424., 834., 5029.])\n", + "{'redshifts/bias_abs': 0.07610651105642319, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.00409969687461853, 'redshifts/bias_bin_0': 0.030004778876900673, 'redshifts/bias_bin_1': 0.009791618213057518, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010269880294799805, 'redshifts/mse': 0.31225115060806274, 'redshifts/mse_bin_0': 0.43795591592788696, 'redshifts/mse_bin_1': 0.36448556184768677, 'redshifts/mse_bin_2': 0.27267295122146606, 'redshifts/mse_bin_3': 0.2087557315826416, 'redshifts/mse_bin_4': 0.24391701817512512, 'redshifts/mse_bin_5': 0.07304783165454865, 'redshifts/nmad': 0.11296208947896957, 'redshifts/nmad_bin_0': 0.21242232620716095, 'redshifts/nmad_bin_1': 0.1358920782804489, 'redshifts/nmad_bin_2': 0.08698315173387527, 'redshifts/nmad_bin_3': 0.0684894248843193, 'redshifts/nmad_bin_4': 0.0604560412466526, 'redshifts/nmad_bin_5': 0.03473273664712906, 'redshifts/outlier_fraction': 0.3279828131198883, 'redshifts/outlier_fraction_bin_0': 0.4874494671821594, 'redshifts/outlier_fraction_bin_1': 0.35831084847450256, 'redshifts/outlier_fraction_bin_2': 0.2590752840042114, 'redshifts/outlier_fraction_bin_3': 0.1875, 'redshifts/outlier_fraction_bin_4': 0.18944844603538513, 'redshifts/outlier_fraction_bin_5': 0.09047524631023407, 'redshifts/outlier_fraction_cata': 0.08951376378536224, 'redshifts/outlier_fraction_cata_bin_0': 0.13220591843128204, 'redshifts/outlier_fraction_cata_bin_1': 0.09985712170600891, 'redshifts/outlier_fraction_cata_bin_2': 0.07680550217628479, 'redshifts/outlier_fraction_cata_bin_3': 0.05898876488208771, 'redshifts/outlier_fraction_cata_bin_4': 0.059952039271593094, 'redshifts/outlier_fraction_cata_bin_5': 0.01690196804702282}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▌ | 396/1563 [35:11<1:43:03, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25672.])\n", + "total num of pts: tensor([9425., 6312., 2622., 1428., 837., 5048.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05861202999949455, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004095409531146288, 'redshifts/bias_bin_0': 0.030100848525762558, 'redshifts/bias_bin_1': 0.00956218596547842, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010228455066680908, 'redshifts/mse': 0.3120768666267395, 'redshifts/mse_bin_0': 0.4380062520503998, 'redshifts/mse_bin_1': 0.36414119601249695, 'redshifts/mse_bin_2': 0.2722955048084259, 'redshifts/mse_bin_3': 0.20871344208717346, 'redshifts/mse_bin_4': 0.24322925508022308, 'redshifts/mse_bin_5': 0.07317464053630829, 'redshifts/nmad': 0.11299403756856918, 'redshifts/nmad_bin_0': 0.21278584003448486, 'redshifts/nmad_bin_1': 0.1359446495771408, 'redshifts/nmad_bin_2': 0.08690790086984634, 'redshifts/nmad_bin_3': 0.06870976090431213, 'redshifts/nmad_bin_4': 0.06126319617033005, 'redshifts/nmad_bin_5': 0.03475646674633026, 'redshifts/outlier_fraction': 0.32813960313796997, 'redshifts/outlier_fraction_bin_0': 0.48795756697654724, 'redshifts/outlier_fraction_bin_1': 0.3585234582424164, 'redshifts/outlier_fraction_bin_2': 0.25896263122558594, 'redshifts/outlier_fraction_bin_3': 0.18767507374286652, 'redshifts/outlier_fraction_bin_4': 0.1887694150209427, 'redshifts/outlier_fraction_bin_5': 0.09053090214729309, 'redshifts/outlier_fraction_cata': 0.08943596482276917, 'redshifts/outlier_fraction_cata_bin_0': 0.13220159709453583, 'redshifts/outlier_fraction_cata_bin_1': 0.09965145587921143, 'redshifts/outlier_fraction_cata_bin_2': 0.07665903866291046, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.059737157076597214, 'redshifts/outlier_fraction_cata_bin_5': 0.017036449164152145}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▌ | 397/1563 [35:17<1:45:33, 5.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25733.])\n", + "total num of pts: tensor([9447., 6331., 2628., 1431., 837., 5059.])\n", + "{'redshifts/bias_abs': 0.07613266259431839, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05864787846803665, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004128248430788517, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009967933874577284, 'redshifts/mse': 0.31181588768959045, 'redshifts/mse_bin_0': 0.4379254877567291, 'redshifts/mse_bin_1': 0.3634171783924103, 'redshifts/mse_bin_2': 0.27206021547317505, 'redshifts/mse_bin_3': 0.20827904343605042, 'redshifts/mse_bin_4': 0.24322925508022308, 'redshifts/mse_bin_5': 0.07303372025489807, 'redshifts/nmad': 0.11300276219844818, 'redshifts/nmad_bin_0': 0.21283328533172607, 'redshifts/nmad_bin_1': 0.1356244534254074, 'redshifts/nmad_bin_2': 0.08727814257144928, 'redshifts/nmad_bin_3': 0.06829474121332169, 'redshifts/nmad_bin_4': 0.06126319617033005, 'redshifts/nmad_bin_5': 0.03479509428143501, 'redshifts/outlier_fraction': 0.3280612528324127, 'redshifts/outlier_fraction_bin_0': 0.48819729685783386, 'redshifts/outlier_fraction_bin_1': 0.3579213321208954, 'redshifts/outlier_fraction_bin_2': 0.25913241505622864, 'redshifts/outlier_fraction_bin_3': 0.18728162348270416, 'redshifts/outlier_fraction_bin_4': 0.1887694150209427, 'redshifts/outlier_fraction_bin_5': 0.09033405780792236, 'redshifts/outlier_fraction_cata': 0.08937939256429672, 'redshifts/outlier_fraction_cata_bin_0': 0.13221128284931183, 'redshifts/outlier_fraction_cata_bin_1': 0.09951034933328629, 'redshifts/outlier_fraction_cata_bin_2': 0.07648401707410812, 'redshifts/outlier_fraction_cata_bin_3': 0.058700211346149445, 'redshifts/outlier_fraction_cata_bin_4': 0.059737157076597214, 'redshifts/outlier_fraction_cata_bin_5': 0.01699940674006939}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 25%|██▌ | 398/1563 [35:21<1:41:21, 5.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25800.])\n", + "total num of pts: tensor([9465., 6348., 2637., 1434., 841., 5075.])\n", + "{'redshifts/bias_abs': 0.07607142627239227, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05864787846803665, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.03042096272110939, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009967933874577284, 'redshifts/mse': 0.311829149723053, 'redshifts/mse_bin_0': 0.4385213553905487, 'redshifts/mse_bin_1': 0.362784743309021, 'redshifts/mse_bin_2': 0.2712240219116211, 'redshifts/mse_bin_3': 0.21109753847122192, 'redshifts/mse_bin_4': 0.24228930473327637, 'redshifts/mse_bin_5': 0.07289307564496994, 'redshifts/nmad': 0.11289691925048828, 'redshifts/nmad_bin_0': 0.2126757949590683, 'redshifts/nmad_bin_1': 0.13569767773151398, 'redshifts/nmad_bin_2': 0.08715726435184479, 'redshifts/nmad_bin_3': 0.06829828023910522, 'redshifts/nmad_bin_4': 0.06129701808094978, 'redshifts/nmad_bin_5': 0.03468796983361244, 'redshifts/outlier_fraction': 0.327984482049942, 'redshifts/outlier_fraction_bin_0': 0.4882197678089142, 'redshifts/outlier_fraction_bin_1': 0.3579080104827881, 'redshifts/outlier_fraction_bin_2': 0.2582480013370514, 'redshifts/outlier_fraction_bin_3': 0.187587171792984, 'redshifts/outlier_fraction_bin_4': 0.18906064331531525, 'redshifts/outlier_fraction_bin_5': 0.09064039587974548, 'redshifts/outlier_fraction_cata': 0.08937984704971313, 'redshifts/outlier_fraction_cata_bin_0': 0.13248811662197113, 'redshifts/outlier_fraction_cata_bin_1': 0.09924385696649551, 'redshifts/outlier_fraction_cata_bin_2': 0.0762229785323143, 'redshifts/outlier_fraction_cata_bin_3': 0.05927475541830063, 'redshifts/outlier_fraction_cata_bin_4': 0.05945303291082382, 'redshifts/outlier_fraction_cata_bin_5': 0.016945812851190567}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 399/1563 [35:25<1:34:09, 4.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25858.])\n", + "total num of pts: tensor([9495., 6359., 2640., 1441., 841., 5082.])\n", + "{'redshifts/bias_abs': 0.07617460191249847, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05864787846803665, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009967933874577284, 'redshifts/mse': 0.31187450885772705, 'redshifts/mse_bin_0': 0.43846920132637024, 'redshifts/mse_bin_1': 0.362962007522583, 'redshifts/mse_bin_2': 0.27129486203193665, 'redshifts/mse_bin_3': 0.21037854254245758, 'redshifts/mse_bin_4': 0.24228930473327637, 'redshifts/mse_bin_5': 0.07280007004737854, 'redshifts/nmad': 0.11305750906467438, 'redshifts/nmad_bin_0': 0.2129199355840683, 'redshifts/nmad_bin_1': 0.13554303348064423, 'redshifts/nmad_bin_2': 0.08727814257144928, 'redshifts/nmad_bin_3': 0.0685514509677887, 'redshifts/nmad_bin_4': 0.06129701808094978, 'redshifts/nmad_bin_5': 0.034684475511312485, 'redshifts/outlier_fraction': 0.3280996084213257, 'redshifts/outlier_fraction_bin_0': 0.4882569909095764, 'redshifts/outlier_fraction_bin_1': 0.35807517170906067, 'redshifts/outlier_fraction_bin_2': 0.25833332538604736, 'redshifts/outlier_fraction_bin_3': 0.18736988306045532, 'redshifts/outlier_fraction_bin_4': 0.18906064331531525, 'redshifts/outlier_fraction_bin_5': 0.09051554650068283, 'redshifts/outlier_fraction_cata': 0.08933405578136444, 'redshifts/outlier_fraction_cata_bin_0': 0.1323854625225067, 'redshifts/outlier_fraction_cata_bin_1': 0.09922944009304047, 'redshifts/outlier_fraction_cata_bin_2': 0.07613636553287506, 'redshifts/outlier_fraction_cata_bin_3': 0.05898681655526161, 'redshifts/outlier_fraction_cata_bin_4': 0.05945303291082382, 'redshifts/outlier_fraction_cata_bin_5': 0.016922472044825554}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 400/1563 [35:31<1:37:11, 5.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25927.])\n", + "total num of pts: tensor([9516., 6378., 2646., 1446., 842., 5099.])\n", + "{'redshifts/bias_abs': 0.07613729685544968, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05861202999949455, 'redshifts/bias_abs_bin_3': 0.04569360613822937, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.000878161983564496, 'redshifts/mse': 0.3116147816181183, 'redshifts/mse_bin_0': 0.43857452273368835, 'redshifts/mse_bin_1': 0.3623825013637543, 'redshifts/mse_bin_2': 0.27075761556625366, 'redshifts/mse_bin_3': 0.20969146490097046, 'redshifts/mse_bin_4': 0.2420039027929306, 'redshifts/mse_bin_5': 0.07277507334947586, 'redshifts/nmad': 0.11304100602865219, 'redshifts/nmad_bin_0': 0.21316969394683838, 'redshifts/nmad_bin_1': 0.1355811059474945, 'redshifts/nmad_bin_2': 0.08690790086984634, 'redshifts/nmad_bin_3': 0.06848239153623581, 'redshifts/nmad_bin_4': 0.06126410886645317, 'redshifts/nmad_bin_5': 0.034749917685985565, 'redshifts/outlier_fraction': 0.3279978334903717, 'redshifts/outlier_fraction_bin_0': 0.48844051361083984, 'redshifts/outlier_fraction_bin_1': 0.3577924072742462, 'redshifts/outlier_fraction_bin_2': 0.2577475309371948, 'redshifts/outlier_fraction_bin_3': 0.18672199547290802, 'redshifts/outlier_fraction_bin_4': 0.18883609771728516, 'redshifts/outlier_fraction_bin_5': 0.09080211818218231, 'redshifts/outlier_fraction_cata': 0.0892505869269371, 'redshifts/outlier_fraction_cata_bin_0': 0.13240857422351837, 'redshifts/outlier_fraction_cata_bin_1': 0.09909062087535858, 'redshifts/outlier_fraction_cata_bin_2': 0.07596372067928314, 'redshifts/outlier_fraction_cata_bin_3': 0.058782849460840225, 'redshifts/outlier_fraction_cata_bin_4': 0.059382423758506775, 'redshifts/outlier_fraction_cata_bin_5': 0.016866052523255348}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 401/1563 [35:34<1:29:26, 4.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([25990.])\n", + "total num of pts: tensor([9544., 6390., 2650., 1451., 844., 5111.])\n", + "{'redshifts/bias_abs': 0.07608582079410553, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05861202999949455, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.004168228711932898, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009203851222991943, 'redshifts/mse': 0.31133314967155457, 'redshifts/mse_bin_0': 0.4384565055370331, 'redshifts/mse_bin_1': 0.3618400990962982, 'redshifts/mse_bin_2': 0.27037301659584045, 'redshifts/mse_bin_3': 0.20900395512580872, 'redshifts/mse_bin_4': 0.24160867929458618, 'redshifts/mse_bin_5': 0.07260645180940628, 'redshifts/nmad': 0.11291882395744324, 'redshifts/nmad_bin_0': 0.2130705863237381, 'redshifts/nmad_bin_1': 0.1353122889995575, 'redshifts/nmad_bin_2': 0.08690790086984634, 'redshifts/nmad_bin_3': 0.06839633733034134, 'redshifts/nmad_bin_4': 0.06126319617033005, 'redshifts/nmad_bin_5': 0.034574687480926514, 'redshifts/outlier_fraction': 0.3278183937072754, 'redshifts/outlier_fraction_bin_0': 0.48826488852500916, 'redshifts/outlier_fraction_bin_1': 0.357589989900589, 'redshifts/outlier_fraction_bin_2': 0.25735849142074585, 'redshifts/outlier_fraction_bin_3': 0.18607856333255768, 'redshifts/outlier_fraction_bin_4': 0.1895734667778015, 'redshifts/outlier_fraction_bin_5': 0.09058892726898193, 'redshifts/outlier_fraction_cata': 0.08918815106153488, 'redshifts/outlier_fraction_cata_bin_0': 0.13243922591209412, 'redshifts/outlier_fraction_cata_bin_1': 0.09890453517436981, 'redshifts/outlier_fraction_cata_bin_2': 0.07584905624389648, 'redshifts/outlier_fraction_cata_bin_3': 0.05858029052615166, 'redshifts/outlier_fraction_cata_bin_4': 0.059241704642772675, 'redshifts/outlier_fraction_cata_bin_5': 0.016826452687382698}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 402/1563 [35:40<1:32:25, 4.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26046.])\n", + "total num of pts: tensor([9565., 6403., 2656., 1454., 844., 5124.])\n", + "{'redshifts/bias_abs': 0.07607142627239227, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05861202999949455, 'redshifts/bias_abs_bin_3': 0.04571566730737686, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023220153525471687, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.030691716820001602, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009967933874577284, 'redshifts/mse': 0.311106413602829, 'redshifts/mse_bin_0': 0.4382125437259674, 'redshifts/mse_bin_1': 0.3616921305656433, 'redshifts/mse_bin_2': 0.2699722945690155, 'redshifts/mse_bin_3': 0.20876970887184143, 'redshifts/mse_bin_4': 0.24160867929458618, 'redshifts/mse_bin_5': 0.0724330022931099, 'redshifts/nmad': 0.11290766298770905, 'redshifts/nmad_bin_0': 0.2127036154270172, 'redshifts/nmad_bin_1': 0.13547945022583008, 'redshifts/nmad_bin_2': 0.08708447962999344, 'redshifts/nmad_bin_3': 0.06848834455013275, 'redshifts/nmad_bin_4': 0.06126319617033005, 'redshifts/nmad_bin_5': 0.03461958095431328, 'redshifts/outlier_fraction': 0.3277662694454193, 'redshifts/outlier_fraction_bin_0': 0.48802927136421204, 'redshifts/outlier_fraction_bin_1': 0.35780102014541626, 'redshifts/outlier_fraction_bin_2': 0.2575301229953766, 'redshifts/outlier_fraction_bin_3': 0.18638239800930023, 'redshifts/outlier_fraction_bin_4': 0.1895734667778015, 'redshifts/outlier_fraction_bin_5': 0.09035909175872803, 'redshifts/outlier_fraction_cata': 0.08914996683597565, 'redshifts/outlier_fraction_cata_bin_0': 0.13246209919452667, 'redshifts/outlier_fraction_cata_bin_1': 0.09885990619659424, 'redshifts/outlier_fraction_cata_bin_2': 0.07567770779132843, 'redshifts/outlier_fraction_cata_bin_3': 0.05845942348241806, 'redshifts/outlier_fraction_cata_bin_4': 0.059241704642772675, 'redshifts/outlier_fraction_cata_bin_5': 0.016783762723207474}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 403/1563 [35:44<1:32:30, 4.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26103.])\n", + "total num of pts: tensor([9591., 6416., 2663., 1455., 846., 5132.])\n", + "{'redshifts/bias_abs': 0.07616522163152695, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05861202999949455, 'redshifts/bias_abs_bin_3': 0.045793768018484116, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02326059527695179, 'redshifts/bias': 0.00418081134557724, 'redshifts/bias_bin_0': 0.030850563198328018, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009967933874577284, 'redshifts/mse': 0.3112042546272278, 'redshifts/mse_bin_0': 0.4386698603630066, 'redshifts/mse_bin_1': 0.36158159375190735, 'redshifts/mse_bin_2': 0.26938527822494507, 'redshifts/mse_bin_3': 0.20863498747348785, 'redshifts/mse_bin_4': 0.2410908043384552, 'redshifts/mse_bin_5': 0.07234539091587067, 'redshifts/nmad': 0.1130342110991478, 'redshifts/nmad_bin_0': 0.2126931995153427, 'redshifts/nmad_bin_1': 0.1355777382850647, 'redshifts/nmad_bin_2': 0.0870508924126625, 'redshifts/nmad_bin_3': 0.06875390559434891, 'redshifts/nmad_bin_4': 0.06126319617033005, 'redshifts/nmad_bin_5': 0.03463783115148544, 'redshifts/outlier_fraction': 0.328046590089798, 'redshifts/outlier_fraction_bin_0': 0.4883745312690735, 'redshifts/outlier_fraction_bin_1': 0.3580112159252167, 'redshifts/outlier_fraction_bin_2': 0.2576042115688324, 'redshifts/outlier_fraction_bin_3': 0.18625429272651672, 'redshifts/outlier_fraction_bin_4': 0.19030733406543732, 'redshifts/outlier_fraction_bin_5': 0.09041309356689453, 'redshifts/outlier_fraction_cata': 0.08914684504270554, 'redshifts/outlier_fraction_cata_bin_0': 0.1326243281364441, 'redshifts/outlier_fraction_cata_bin_1': 0.09865959733724594, 'redshifts/outlier_fraction_cata_bin_2': 0.07547878473997116, 'redshifts/outlier_fraction_cata_bin_3': 0.05841924250125885, 'redshifts/outlier_fraction_cata_bin_4': 0.0591016560792923, 'redshifts/outlier_fraction_cata_bin_5': 0.016757600009441376}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 404/1563 [35:48<1:28:13, 4.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26160.])\n", + "total num of pts: tensor([9614., 6430., 2672., 1455., 848., 5141.])\n", + "{'redshifts/bias_abs': 0.07620159536600113, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05864787846803665, 'redshifts/bias_abs_bin_3': 0.045793768018484116, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023220153525471687, 'redshifts/bias': 0.004209383390843868, 'redshifts/bias_bin_0': 0.030915867537260056, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009175874292850494, 'redshifts/mse': 0.3121572732925415, 'redshifts/mse_bin_0': 0.4399687349796295, 'redshifts/mse_bin_1': 0.3630630075931549, 'redshifts/mse_bin_2': 0.2704780697822571, 'redshifts/mse_bin_3': 0.20863498747348785, 'redshifts/mse_bin_4': 0.24059975147247314, 'redshifts/mse_bin_5': 0.07223746925592422, 'redshifts/nmad': 0.1130765751004219, 'redshifts/nmad_bin_0': 0.2125963717699051, 'redshifts/nmad_bin_1': 0.13572698831558228, 'redshifts/nmad_bin_2': 0.08711173385381699, 'redshifts/nmad_bin_3': 0.06875390559434891, 'redshifts/nmad_bin_4': 0.06126319617033005, 'redshifts/nmad_bin_5': 0.034563399851322174, 'redshifts/outlier_fraction': 0.3282492458820343, 'redshifts/outlier_fraction_bin_0': 0.4885583519935608, 'redshifts/outlier_fraction_bin_1': 0.3584758937358856, 'redshifts/outlier_fraction_bin_2': 0.2578592896461487, 'redshifts/outlier_fraction_bin_3': 0.18625429272651672, 'redshifts/outlier_fraction_bin_4': 0.18985849618911743, 'redshifts/outlier_fraction_bin_5': 0.09025481343269348, 'redshifts/outlier_fraction_cata': 0.08937308937311172, 'redshifts/outlier_fraction_cata_bin_0': 0.13293114304542542, 'redshifts/outlier_fraction_cata_bin_1': 0.09906687587499619, 'redshifts/outlier_fraction_cata_bin_2': 0.07559879869222641, 'redshifts/outlier_fraction_cata_bin_3': 0.05841924250125885, 'redshifts/outlier_fraction_cata_bin_4': 0.05896226316690445, 'redshifts/outlier_fraction_cata_bin_5': 0.016728263348340988}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 405/1563 [35:53<1:30:37, 4.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26222.])\n", + "total num of pts: tensor([9641., 6441., 2683., 1459., 849., 5149.])\n", + "{'redshifts/bias_abs': 0.07624728232622147, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05883030593395233, 'redshifts/bias_abs_bin_3': 0.045898765325546265, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02326059527695179, 'redshifts/bias': 0.004209383390843868, 'redshifts/bias_bin_0': 0.030691716820001602, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.0009967933874577284, 'redshifts/mse': 0.31251248717308044, 'redshifts/mse_bin_0': 0.44040432572364807, 'redshifts/mse_bin_1': 0.36342599987983704, 'redshifts/mse_bin_2': 0.2698999345302582, 'redshifts/mse_bin_3': 0.21133564412593842, 'redshifts/mse_bin_4': 0.24032528698444366, 'redshifts/mse_bin_5': 0.07213478535413742, 'redshifts/nmad': 0.11312305927276611, 'redshifts/nmad_bin_0': 0.21293283998966217, 'redshifts/nmad_bin_1': 0.1358051598072052, 'redshifts/nmad_bin_2': 0.08730024844408035, 'redshifts/nmad_bin_3': 0.06875390559434891, 'redshifts/nmad_bin_4': 0.060927826911211014, 'redshifts/nmad_bin_5': 0.03463783115148544, 'redshifts/outlier_fraction': 0.3283502459526062, 'redshifts/outlier_fraction_bin_0': 0.48864224553108215, 'redshifts/outlier_fraction_bin_1': 0.3586399555206299, 'redshifts/outlier_fraction_bin_2': 0.2579202353954315, 'redshifts/outlier_fraction_bin_3': 0.18642906844615936, 'redshifts/outlier_fraction_bin_4': 0.18963485956192017, 'redshifts/outlier_fraction_bin_5': 0.09011458605527878, 'redshifts/outlier_fraction_cata': 0.0893905907869339, 'redshifts/outlier_fraction_cata_bin_0': 0.13287003338336945, 'redshifts/outlier_fraction_cata_bin_1': 0.09920819848775864, 'redshifts/outlier_fraction_cata_bin_2': 0.07528885453939438, 'redshifts/outlier_fraction_cata_bin_3': 0.05894448235630989, 'redshifts/outlier_fraction_cata_bin_4': 0.05889281630516052, 'redshifts/outlier_fraction_cata_bin_5': 0.01670227199792862}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 406/1563 [35:57<1:24:58, 4.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26285.])\n", + "total num of pts: tensor([9667., 6456., 2690., 1460., 852., 5160.])\n", + "{'redshifts/bias_abs': 0.07631302624940872, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.045898765325546265, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02326059527695179, 'redshifts/bias': 0.004209383390843868, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010078203631564975, 'redshifts/mse': 0.312685489654541, 'redshifts/mse_bin_0': 0.4408084750175476, 'redshifts/mse_bin_1': 0.3636453449726105, 'redshifts/mse_bin_2': 0.26992112398147583, 'redshifts/mse_bin_3': 0.21119576692581177, 'redshifts/mse_bin_4': 0.23950214684009552, 'redshifts/mse_bin_5': 0.07198847830295563, 'redshifts/nmad': 0.11314815282821655, 'redshifts/nmad_bin_0': 0.2129533886909485, 'redshifts/nmad_bin_1': 0.13568833470344543, 'redshifts/nmad_bin_2': 0.08759469538927078, 'redshifts/nmad_bin_3': 0.06869485229253769, 'redshifts/nmad_bin_4': 0.06169587001204491, 'redshifts/nmad_bin_5': 0.03461739420890808, 'redshifts/outlier_fraction': 0.3282860815525055, 'redshifts/outlier_fraction_bin_0': 0.48856934905052185, 'redshifts/outlier_fraction_bin_1': 0.35858115553855896, 'redshifts/outlier_fraction_bin_2': 0.25799256563186646, 'redshifts/outlier_fraction_bin_3': 0.1863013654947281, 'redshifts/outlier_fraction_bin_4': 0.18896713852882385, 'redshifts/outlier_fraction_bin_5': 0.0899224802851677, 'redshifts/outlier_fraction_cata': 0.08951873332262039, 'redshifts/outlier_fraction_cata_bin_0': 0.13323678076267242, 'redshifts/outlier_fraction_cata_bin_1': 0.09913258999586105, 'redshifts/outlier_fraction_cata_bin_2': 0.07546468079090118, 'redshifts/outlier_fraction_cata_bin_3': 0.05890411138534546, 'redshifts/outlier_fraction_cata_bin_4': 0.05868544429540634, 'redshifts/outlier_fraction_cata_bin_5': 0.01666666753590107}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 407/1563 [36:03<1:35:31, 4.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26353.])\n", + "total num of pts: tensor([9687., 6478., 2696., 1464., 857., 5171.])\n", + "{'redshifts/bias_abs': 0.07630721479654312, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023263951763510704, 'redshifts/bias': 0.004171609878540039, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0009967933874577284, 'redshifts/mse': 0.31256017088890076, 'redshifts/mse_bin_0': 0.4402850270271301, 'redshifts/mse_bin_1': 0.3642752170562744, 'redshifts/mse_bin_2': 0.2699194550514221, 'redshifts/mse_bin_3': 0.21076750755310059, 'redshifts/mse_bin_4': 0.23823729157447815, 'redshifts/mse_bin_5': 0.07187129557132721, 'redshifts/nmad': 0.11311949044466019, 'redshifts/nmad_bin_0': 0.21235421299934387, 'redshifts/nmad_bin_1': 0.1357332319021225, 'redshifts/nmad_bin_2': 0.08756774663925171, 'redshifts/nmad_bin_3': 0.06887827068567276, 'redshifts/nmad_bin_4': 0.06126410886645317, 'redshifts/nmad_bin_5': 0.03463374078273773, 'redshifts/outlier_fraction': 0.3281220495700836, 'redshifts/outlier_fraction_bin_0': 0.4880768060684204, 'redshifts/outlier_fraction_bin_1': 0.3585983216762543, 'redshifts/outlier_fraction_bin_2': 0.25816023349761963, 'redshifts/outlier_fraction_bin_3': 0.18647541105747223, 'redshifts/outlier_fraction_bin_4': 0.18903151154518127, 'redshifts/outlier_fraction_bin_5': 0.08992458134889603, 'redshifts/outlier_fraction_cata': 0.08951542526483536, 'redshifts/outlier_fraction_cata_bin_0': 0.13306492567062378, 'redshifts/outlier_fraction_cata_bin_1': 0.09941340237855911, 'redshifts/outlier_fraction_cata_bin_2': 0.07566765695810318, 'redshifts/outlier_fraction_cata_bin_3': 0.05874316766858101, 'redshifts/outlier_fraction_cata_bin_4': 0.058343056589365005, 'redshifts/outlier_fraction_cata_bin_5': 0.01663121208548546}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 408/1563 [36:08<1:33:56, 4.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26422.])\n", + "total num of pts: tensor([9716., 6494., 2701., 1468., 857., 5186.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05886675417423248, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02326059527695179, 'redshifts/bias': 0.00418081134557724, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0010078203631564975, 'redshifts/mse': 0.3126653730869293, 'redshifts/mse_bin_0': 0.4404014050960541, 'redshifts/mse_bin_1': 0.36448732018470764, 'redshifts/mse_bin_2': 0.2694319486618042, 'redshifts/mse_bin_3': 0.21027980744838715, 'redshifts/mse_bin_4': 0.23823729157447815, 'redshifts/mse_bin_5': 0.07225771248340607, 'redshifts/nmad': 0.11317150294780731, 'redshifts/nmad_bin_0': 0.2121385931968689, 'redshifts/nmad_bin_1': 0.135645791888237, 'redshifts/nmad_bin_2': 0.08759138733148575, 'redshifts/nmad_bin_3': 0.06887827068567276, 'redshifts/nmad_bin_4': 0.06126410886645317, 'redshifts/nmad_bin_5': 0.03461739420890808, 'redshifts/outlier_fraction': 0.3280220925807953, 'redshifts/outlier_fraction_bin_0': 0.48795801401138306, 'redshifts/outlier_fraction_bin_1': 0.35833075642585754, 'redshifts/outlier_fraction_bin_2': 0.25768235325813293, 'redshifts/outlier_fraction_bin_3': 0.18596729636192322, 'redshifts/outlier_fraction_bin_4': 0.18903151154518127, 'redshifts/outlier_fraction_bin_5': 0.09024295955896378, 'redshifts/outlier_fraction_cata': 0.08958443999290466, 'redshifts/outlier_fraction_cata_bin_0': 0.13307945430278778, 'redshifts/outlier_fraction_cata_bin_1': 0.09947644174098969, 'redshifts/outlier_fraction_cata_bin_2': 0.07552758604288101, 'redshifts/outlier_fraction_cata_bin_3': 0.058583106845617294, 'redshifts/outlier_fraction_cata_bin_4': 0.058343056589365005, 'redshifts/outlier_fraction_cata_bin_5': 0.01696876250207424}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 409/1563 [36:12<1:30:18, 4.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26486.])\n", + "total num of pts: tensor([9736., 6507., 2708., 1473., 861., 5201.])\n", + "{'redshifts/bias_abs': 0.07634434849023819, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05883030593395233, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004171609878540039, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009967933874577284, 'redshifts/mse': 0.3126203119754791, 'redshifts/mse_bin_0': 0.4401344060897827, 'redshifts/mse_bin_1': 0.3648952841758728, 'redshifts/mse_bin_2': 0.26967984437942505, 'redshifts/mse_bin_3': 0.20960453152656555, 'redshifts/mse_bin_4': 0.2371925562620163, 'redshifts/mse_bin_5': 0.07253968715667725, 'redshifts/nmad': 0.11315258592367172, 'redshifts/nmad_bin_0': 0.2119821310043335, 'redshifts/nmad_bin_1': 0.13584105670452118, 'redshifts/nmad_bin_2': 0.08732718974351883, 'redshifts/nmad_bin_3': 0.06887827068567276, 'redshifts/nmad_bin_4': 0.06129701808094978, 'redshifts/nmad_bin_5': 0.03468082845211029, 'redshifts/outlier_fraction': 0.32798460125923157, 'redshifts/outlier_fraction_bin_0': 0.4874691963195801, 'redshifts/outlier_fraction_bin_1': 0.359151691198349, 'redshifts/outlier_fraction_bin_2': 0.2577548027038574, 'redshifts/outlier_fraction_bin_3': 0.18533605337142944, 'redshifts/outlier_fraction_bin_4': 0.18815331161022186, 'redshifts/outlier_fraction_bin_5': 0.09055950492620468, 'redshifts/outlier_fraction_cata': 0.08963225781917572, 'redshifts/outlier_fraction_cata_bin_0': 0.13301150500774384, 'redshifts/outlier_fraction_cata_bin_1': 0.09973873943090439, 'redshifts/outlier_fraction_cata_bin_2': 0.07570162415504456, 'redshifts/outlier_fraction_cata_bin_3': 0.0583842508494854, 'redshifts/outlier_fraction_cata_bin_4': 0.058072008192539215, 'redshifts/outlier_fraction_cata_bin_5': 0.017112093046307564}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▌ | 410/1563 [36:18<1:35:39, 4.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26544.])\n", + "total num of pts: tensor([9767., 6518., 2711., 1476., 862., 5210.])\n", + "{'redshifts/bias_abs': 0.07638644427061081, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05883030593395233, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02330654114484787, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.030915504321455956, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0010078203631564975, 'redshifts/mse': 0.31279879808425903, 'redshifts/mse_bin_0': 0.44015711545944214, 'redshifts/mse_bin_1': 0.3645009696483612, 'redshifts/mse_bin_2': 0.2699442505836487, 'redshifts/mse_bin_3': 0.20923329889774323, 'redshifts/mse_bin_4': 0.23692253232002258, 'redshifts/mse_bin_5': 0.07355616241693497, 'redshifts/nmad': 0.11317900568246841, 'redshifts/nmad_bin_0': 0.2120988517999649, 'redshifts/nmad_bin_1': 0.13587264716625214, 'redshifts/nmad_bin_2': 0.08730024844408035, 'redshifts/nmad_bin_3': 0.06877506524324417, 'redshifts/nmad_bin_4': 0.06126319617033005, 'redshifts/nmad_bin_5': 0.03469717502593994, 'redshifts/outlier_fraction': 0.32809674739837646, 'redshifts/outlier_fraction_bin_0': 0.4875601530075073, 'redshifts/outlier_fraction_bin_1': 0.3591592609882355, 'redshifts/outlier_fraction_bin_2': 0.2578384280204773, 'redshifts/outlier_fraction_bin_3': 0.18495935201644897, 'redshifts/outlier_fraction_bin_4': 0.18793503940105438, 'redshifts/outlier_fraction_bin_5': 0.09059500694274902, 'redshifts/outlier_fraction_cata': 0.08973779529333115, 'redshifts/outlier_fraction_cata_bin_0': 0.1332036405801773, 'redshifts/outlier_fraction_cata_bin_1': 0.09957042336463928, 'redshifts/outlier_fraction_cata_bin_2': 0.07598672062158585, 'redshifts/outlier_fraction_cata_bin_3': 0.05826558172702789, 'redshifts/outlier_fraction_cata_bin_4': 0.05800464004278183, 'redshifts/outlier_fraction_cata_bin_5': 0.01727447286248207}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▋ | 411/1563 [36:23<1:37:57, 5.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26603.])\n", + "total num of pts: tensor([9796., 6530., 2713., 1481., 862., 5221.])\n", + "{'redshifts/bias_abs': 0.07640169560909271, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05864787846803665, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009203851222991943, 'redshifts/mse': 0.31288430094718933, 'redshifts/mse_bin_0': 0.4398559331893921, 'redshifts/mse_bin_1': 0.3639690577983856, 'redshifts/mse_bin_2': 0.26974743604660034, 'redshifts/mse_bin_3': 0.20868583023548126, 'redshifts/mse_bin_4': 0.23692253232002258, 'redshifts/mse_bin_5': 0.07527340203523636, 'redshifts/nmad': 0.11324050277471542, 'redshifts/nmad_bin_0': 0.2119763195514679, 'redshifts/nmad_bin_1': 0.13586929440498352, 'redshifts/nmad_bin_2': 0.0872512012720108, 'redshifts/nmad_bin_3': 0.06900597363710403, 'redshifts/nmad_bin_4': 0.06126319617033005, 'redshifts/nmad_bin_5': 0.03471923619508743, 'redshifts/outlier_fraction': 0.3279705345630646, 'redshifts/outlier_fraction_bin_0': 0.48723968863487244, 'redshifts/outlier_fraction_bin_1': 0.35880550742149353, 'redshifts/outlier_fraction_bin_2': 0.2576483488082886, 'redshifts/outlier_fraction_bin_3': 0.1850101351737976, 'redshifts/outlier_fraction_bin_4': 0.18793503940105438, 'redshifts/outlier_fraction_bin_5': 0.09078720211982727, 'redshifts/outlier_fraction_cata': 0.08972672373056412, 'redshifts/outlier_fraction_cata_bin_0': 0.13321763277053833, 'redshifts/outlier_fraction_cata_bin_1': 0.09938744455575943, 'redshifts/outlier_fraction_cata_bin_2': 0.07593070715665817, 'redshifts/outlier_fraction_cata_bin_3': 0.05806887149810791, 'redshifts/outlier_fraction_cata_bin_4': 0.05800464004278183, 'redshifts/outlier_fraction_cata_bin_5': 0.017429610714316368}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▋ | 412/1563 [36:28<1:37:26, 5.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26668.])\n", + "total num of pts: tensor([9814., 6547., 2718., 1485., 865., 5239.])\n", + "{'redshifts/bias_abs': 0.07645747065544128, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05883030593395233, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004171609878540039, 'redshifts/bias_bin_0': 0.030922599136829376, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0009175874292850494, 'redshifts/mse': 0.31337252259254456, 'redshifts/mse_bin_0': 0.43977707624435425, 'redshifts/mse_bin_1': 0.3649042844772339, 'redshifts/mse_bin_2': 0.2728251516819, 'redshifts/mse_bin_3': 0.21079987287521362, 'redshifts/mse_bin_4': 0.2361670285463333, 'redshifts/mse_bin_5': 0.07504498958587646, 'redshifts/nmad': 0.11326494812965393, 'redshifts/nmad_bin_0': 0.21196512877941132, 'redshifts/nmad_bin_1': 0.13595904409885406, 'redshifts/nmad_bin_2': 0.08730024844408035, 'redshifts/nmad_bin_3': 0.06923583149909973, 'redshifts/nmad_bin_4': 0.06129701808094978, 'redshifts/nmad_bin_5': 0.03475116938352585, 'redshifts/outlier_fraction': 0.3279586136341095, 'redshifts/outlier_fraction_bin_0': 0.4872630834579468, 'redshifts/outlier_fraction_bin_1': 0.35894301533699036, 'redshifts/outlier_fraction_bin_2': 0.25791022181510925, 'redshifts/outlier_fraction_bin_3': 0.1858585923910141, 'redshifts/outlier_fraction_bin_4': 0.1872832328081131, 'redshifts/outlier_fraction_bin_5': 0.09066615998744965, 'redshifts/outlier_fraction_cata': 0.08988300710916519, 'redshifts/outlier_fraction_cata_bin_0': 0.13338088989257812, 'redshifts/outlier_fraction_cata_bin_1': 0.09958759695291519, 'redshifts/outlier_fraction_cata_bin_2': 0.07652685791254044, 'redshifts/outlier_fraction_cata_bin_3': 0.05858585983514786, 'redshifts/outlier_fraction_cata_bin_4': 0.05780346691608429, 'redshifts/outlier_fraction_cata_bin_5': 0.017369726672768593}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▋ | 413/1563 [36:33<1:37:07, 5.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26716.])\n", + "total num of pts: tensor([9835., 6556., 2721., 1487., 865., 5252.])\n", + "{'redshifts/bias_abs': 0.07635871320962906, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05883030593395233, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.004166455008089542, 'redshifts/bias_bin_0': 0.030915504321455956, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.000878161983564496, 'redshifts/mse': 0.31324970722198486, 'redshifts/mse_bin_0': 0.43964293599128723, 'redshifts/mse_bin_1': 0.3649507164955139, 'redshifts/mse_bin_2': 0.27253127098083496, 'redshifts/mse_bin_3': 0.21061988174915314, 'redshifts/mse_bin_4': 0.2361670285463333, 'redshifts/mse_bin_5': 0.07487528771162033, 'redshifts/nmad': 0.11317172646522522, 'redshifts/nmad_bin_0': 0.21217623353004456, 'redshifts/nmad_bin_1': 0.13581149280071259, 'redshifts/nmad_bin_2': 0.08742112666368484, 'redshifts/nmad_bin_3': 0.06923583149909973, 'redshifts/nmad_bin_4': 0.06129701808094978, 'redshifts/nmad_bin_5': 0.034699447453022, 'redshifts/outlier_fraction': 0.3279682695865631, 'redshifts/outlier_fraction_bin_0': 0.4875444769859314, 'redshifts/outlier_fraction_bin_1': 0.35875535011291504, 'redshifts/outlier_fraction_bin_2': 0.25762587785720825, 'redshifts/outlier_fraction_bin_3': 0.18628109991550446, 'redshifts/outlier_fraction_bin_4': 0.1872832328081131, 'redshifts/outlier_fraction_bin_5': 0.0904417335987091, 'redshifts/outlier_fraction_cata': 0.08987123519182205, 'redshifts/outlier_fraction_cata_bin_0': 0.13340112566947937, 'redshifts/outlier_fraction_cata_bin_1': 0.09960341453552246, 'redshifts/outlier_fraction_cata_bin_2': 0.07644248753786087, 'redshifts/outlier_fraction_cata_bin_3': 0.05850706249475479, 'redshifts/outlier_fraction_cata_bin_4': 0.05780346691608429, 'redshifts/outlier_fraction_cata_bin_5': 0.017326733097434044}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 26%|██▋ | 414/1563 [36:40<1:47:36, 5.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26778.])\n", + "total num of pts: tensor([9854., 6572., 2727., 1491., 867., 5267.])\n", + "{'redshifts/bias_abs': 0.07630721479654312, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004154780879616737, 'redshifts/bias_bin_0': 0.030850563198328018, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0008215209236368537, 'redshifts/mse': 0.3128633499145508, 'redshifts/mse_bin_0': 0.4393428862094879, 'redshifts/mse_bin_1': 0.36453911662101746, 'redshifts/mse_bin_2': 0.2720072269439697, 'redshifts/mse_bin_3': 0.21018317341804504, 'redshifts/mse_bin_4': 0.2356383502483368, 'redshifts/mse_bin_5': 0.07468760758638382, 'redshifts/nmad': 0.11312762647867203, 'redshifts/nmad_bin_0': 0.21195881068706512, 'redshifts/nmad_bin_1': 0.13554303348064423, 'redshifts/nmad_bin_2': 0.08756774663925171, 'redshifts/nmad_bin_3': 0.06969419121742249, 'redshifts/nmad_bin_4': 0.06169587001204491, 'redshifts/nmad_bin_5': 0.03466864675283432, 'redshifts/outlier_fraction': 0.32776907086372375, 'redshifts/outlier_fraction_bin_0': 0.48741626739501953, 'redshifts/outlier_fraction_bin_1': 0.35849055647850037, 'redshifts/outlier_fraction_bin_2': 0.2574257552623749, 'redshifts/outlier_fraction_bin_3': 0.18645204603672028, 'redshifts/outlier_fraction_bin_4': 0.18685121834278107, 'redshifts/outlier_fraction_bin_5': 0.09037403017282486, 'redshifts/outlier_fraction_cata': 0.0897751897573471, 'redshifts/outlier_fraction_cata_bin_0': 0.13334687054157257, 'redshifts/outlier_fraction_cata_bin_1': 0.09951308369636536, 'redshifts/outlier_fraction_cata_bin_2': 0.07627429068088531, 'redshifts/outlier_fraction_cata_bin_3': 0.0583501011133194, 'redshifts/outlier_fraction_cata_bin_4': 0.05767012760043144, 'redshifts/outlier_fraction_cata_bin_5': 0.017277387902140617}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 415/1563 [36:45<1:44:07, 5.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26822.])\n", + "total num of pts: tensor([9866., 6583., 2735., 1493., 869., 5276.])\n", + "{'redshifts/bias_abs': 0.07624728232622147, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.030850563198328018, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0008330424316227436, 'redshifts/mse': 0.31302961707115173, 'redshifts/mse_bin_0': 0.43927431106567383, 'redshifts/mse_bin_1': 0.3654608130455017, 'redshifts/mse_bin_2': 0.27244284749031067, 'redshifts/mse_bin_3': 0.20991556346416473, 'redshifts/mse_bin_4': 0.23511435091495514, 'redshifts/mse_bin_5': 0.07458839565515518, 'redshifts/nmad': 0.11306782811880112, 'redshifts/nmad_bin_0': 0.211858332157135, 'redshifts/nmad_bin_1': 0.13576346635818481, 'redshifts/nmad_bin_2': 0.08756774663925171, 'redshifts/nmad_bin_3': 0.06985710561275482, 'redshifts/nmad_bin_4': 0.06126410886645317, 'redshifts/nmad_bin_5': 0.0346820205450058, 'redshifts/outlier_fraction': 0.32764148712158203, 'redshifts/outlier_fraction_bin_0': 0.48712751269340515, 'redshifts/outlier_fraction_bin_1': 0.3584991693496704, 'redshifts/outlier_fraction_bin_2': 0.2577696442604065, 'redshifts/outlier_fraction_bin_3': 0.186202272772789, 'redshifts/outlier_fraction_bin_4': 0.18642117083072662, 'redshifts/outlier_fraction_bin_5': 0.09040939807891846, 'redshifts/outlier_fraction_cata': 0.08981433510780334, 'redshifts/outlier_fraction_cata_bin_0': 0.13338738679885864, 'redshifts/outlier_fraction_cata_bin_1': 0.09965061396360397, 'redshifts/outlier_fraction_cata_bin_2': 0.07641682028770447, 'redshifts/outlier_fraction_cata_bin_3': 0.05827193707227707, 'redshifts/outlier_fraction_cata_bin_4': 0.05753739923238754, 'redshifts/outlier_fraction_cata_bin_5': 0.017247915267944336}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 416/1563 [36:50<1:39:30, 5.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26891.])\n", + "total num of pts: tensor([9890., 6596., 2741., 1498., 873., 5293.])\n", + "{'redshifts/bias_abs': 0.07616522163152695, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.030915867537260056, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0007954239845275879, 'redshifts/mse': 0.3129507601261139, 'redshifts/mse_bin_0': 0.43898874521255493, 'redshifts/mse_bin_1': 0.36528459191322327, 'redshifts/mse_bin_2': 0.27462145686149597, 'redshifts/mse_bin_3': 0.2093408852815628, 'redshifts/mse_bin_4': 0.2341059297323227, 'redshifts/mse_bin_5': 0.07440877705812454, 'redshifts/nmad': 0.11300601810216904, 'redshifts/nmad_bin_0': 0.21157748997211456, 'redshifts/nmad_bin_1': 0.13550595939159393, 'redshifts/nmad_bin_2': 0.08756774663925171, 'redshifts/nmad_bin_3': 0.06940151751041412, 'redshifts/nmad_bin_4': 0.06129701808094978, 'redshifts/nmad_bin_5': 0.034724388271570206, 'redshifts/outlier_fraction': 0.32739579677581787, 'redshifts/outlier_fraction_bin_0': 0.48695650696754456, 'redshifts/outlier_fraction_bin_1': 0.35809582471847534, 'redshifts/outlier_fraction_bin_2': 0.2579350471496582, 'redshifts/outlier_fraction_bin_3': 0.18624833226203918, 'redshifts/outlier_fraction_bin_4': 0.1855670064687729, 'redshifts/outlier_fraction_bin_5': 0.09030795097351074, 'redshifts/outlier_fraction_cata': 0.08973262459039688, 'redshifts/outlier_fraction_cata_bin_0': 0.13316480815410614, 'redshifts/outlier_fraction_cata_bin_1': 0.09960582107305527, 'redshifts/outlier_fraction_cata_bin_2': 0.07697920501232147, 'redshifts/outlier_fraction_cata_bin_3': 0.058077435940504074, 'redshifts/outlier_fraction_cata_bin_4': 0.05727376788854599, 'redshifts/outlier_fraction_cata_bin_5': 0.017192518338561058}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 417/1563 [36:55<1:38:50, 5.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([26964.])\n", + "total num of pts: tensor([9919., 6613., 2746., 1500., 875., 5311.])\n", + "{'redshifts/bias_abs': 0.07624728232622147, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004166455008089542, 'redshifts/bias_bin_0': 0.030915867537260056, 'redshifts/bias_bin_1': 0.009866350330412388, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0008215209236368537, 'redshifts/mse': 0.31273573637008667, 'redshifts/mse_bin_0': 0.43892428278923035, 'redshifts/mse_bin_1': 0.3645640015602112, 'redshifts/mse_bin_2': 0.2744903266429901, 'redshifts/mse_bin_3': 0.20911966264247894, 'redshifts/mse_bin_4': 0.23608902096748352, 'redshifts/mse_bin_5': 0.0741957277059555, 'redshifts/nmad': 0.11305940896272659, 'redshifts/nmad_bin_0': 0.21194203197956085, 'redshifts/nmad_bin_1': 0.1354936957359314, 'redshifts/nmad_bin_2': 0.08756774663925171, 'redshifts/nmad_bin_3': 0.06940151751041412, 'redshifts/nmad_bin_4': 0.06142307445406914, 'redshifts/nmad_bin_5': 0.034782081842422485, 'redshifts/outlier_fraction': 0.3274365961551666, 'redshifts/outlier_fraction_bin_0': 0.48714587092399597, 'redshifts/outlier_fraction_bin_1': 0.3576289117336273, 'redshifts/outlier_fraction_bin_2': 0.2581937313079834, 'redshifts/outlier_fraction_bin_3': 0.1860000044107437, 'redshifts/outlier_fraction_bin_4': 0.1874285787343979, 'redshifts/outlier_fraction_bin_5': 0.09037846326828003, 'redshifts/outlier_fraction_cata': 0.08967512100934982, 'redshifts/outlier_fraction_cata_bin_0': 0.1331787407398224, 'redshifts/outlier_fraction_cata_bin_1': 0.09934976696968079, 'redshifts/outlier_fraction_cata_bin_2': 0.07683903723955154, 'redshifts/outlier_fraction_cata_bin_3': 0.057999998331069946, 'redshifts/outlier_fraction_cata_bin_4': 0.05828571319580078, 'redshifts/outlier_fraction_cata_bin_5': 0.017134249210357666}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 418/1563 [37:01<1:41:24, 5.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27020.])\n", + "total num of pts: tensor([9938., 6624., 2753., 1505., 878., 5322.])\n", + "{'redshifts/bias_abs': 0.07624728232622147, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023381708189845085, 'redshifts/bias': 0.004165236372500658, 'redshifts/bias_bin_0': 0.030915867537260056, 'redshifts/bias_bin_1': 0.009842272847890854, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.0007859626784920692, 'redshifts/mse': 0.3127813935279846, 'redshifts/mse_bin_0': 0.4385108947753906, 'redshifts/mse_bin_1': 0.36456626653671265, 'redshifts/mse_bin_2': 0.2764723300933838, 'redshifts/mse_bin_3': 0.21013739705085754, 'redshifts/mse_bin_4': 0.23564667999744415, 'redshifts/mse_bin_5': 0.0740823969244957, 'redshifts/nmad': 0.11305760592222214, 'redshifts/nmad_bin_0': 0.2116318792104721, 'redshifts/nmad_bin_1': 0.13552938401699066, 'redshifts/nmad_bin_2': 0.08752421289682388, 'redshifts/nmad_bin_3': 0.06938101351261139, 'redshifts/nmad_bin_4': 0.061810825020074844, 'redshifts/nmad_bin_5': 0.03472136706113815, 'redshifts/outlier_fraction': 0.32735010981559753, 'redshifts/outlier_fraction_bin_0': 0.4868182837963104, 'redshifts/outlier_fraction_bin_1': 0.35733696818351746, 'redshifts/outlier_fraction_bin_2': 0.2582637071609497, 'redshifts/outlier_fraction_bin_3': 0.18671096861362457, 'redshifts/outlier_fraction_bin_4': 0.1890660524368286, 'redshifts/outlier_fraction_bin_5': 0.0905674546957016, 'redshifts/outlier_fraction_cata': 0.08967431634664536, 'redshifts/outlier_fraction_cata_bin_0': 0.13302475214004517, 'redshifts/outlier_fraction_cata_bin_1': 0.09933575242757797, 'redshifts/outlier_fraction_cata_bin_2': 0.07737014442682266, 'redshifts/outlier_fraction_cata_bin_3': 0.058471761643886566, 'redshifts/outlier_fraction_cata_bin_4': 0.05808655917644501, 'redshifts/outlier_fraction_cata_bin_5': 0.017098834738135338}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 419/1563 [37:05<1:36:17, 5.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27088.])\n", + "total num of pts: tensor([9960., 6638., 2759., 1513., 880., 5338.])\n", + "{'redshifts/bias_abs': 0.07622567564249039, 'redshifts/bias_abs_bin_0': 0.1439315229654312, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.004166455008089542, 'redshifts/bias_bin_0': 0.030915867537260056, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.0007655706140212715, 'redshifts/mse': 0.3126166760921478, 'redshifts/mse_bin_0': 0.43799564242362976, 'redshifts/mse_bin_1': 0.3651989698410034, 'redshifts/mse_bin_2': 0.2760078012943268, 'redshifts/mse_bin_3': 0.2092987447977066, 'redshifts/mse_bin_4': 0.23512409627437592, 'redshifts/mse_bin_5': 0.07426981627941132, 'redshifts/nmad': 0.11304818093776703, 'redshifts/nmad_bin_0': 0.21155211329460144, 'redshifts/nmad_bin_1': 0.13548330962657928, 'redshifts/nmad_bin_2': 0.08754797279834747, 'redshifts/nmad_bin_3': 0.06938101351261139, 'redshifts/nmad_bin_4': 0.061810825020074844, 'redshifts/nmad_bin_5': 0.03471435233950615, 'redshifts/outlier_fraction': 0.3273405134677887, 'redshifts/outlier_fraction_bin_0': 0.48654618859291077, 'redshifts/outlier_fraction_bin_1': 0.35763785243034363, 'redshifts/outlier_fraction_bin_2': 0.25878942012786865, 'redshifts/outlier_fraction_bin_3': 0.1863846629858017, 'redshifts/outlier_fraction_bin_4': 0.18863636255264282, 'redshifts/outlier_fraction_bin_5': 0.09085799753665924, 'redshifts/outlier_fraction_cata': 0.08959686756134033, 'redshifts/outlier_fraction_cata_bin_0': 0.13283132016658783, 'redshifts/outlier_fraction_cata_bin_1': 0.09942753612995148, 'redshifts/outlier_fraction_cata_bin_2': 0.07720188796520233, 'redshifts/outlier_fraction_cata_bin_3': 0.058162592351436615, 'redshifts/outlier_fraction_cata_bin_4': 0.05795454606413841, 'redshifts/outlier_fraction_cata_bin_5': 0.01723491959273815}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 420/1563 [37:12<1:44:04, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27142.])\n", + "total num of pts: tensor([9981., 6647., 2765., 1516., 884., 5349.])\n", + "{'redshifts/bias_abs': 0.07613729685544968, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004166455008089542, 'redshifts/bias_bin_0': 0.030915504321455956, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.0007443130016326904, 'redshifts/mse': 0.31239110231399536, 'redshifts/mse_bin_0': 0.4379863739013672, 'redshifts/mse_bin_1': 0.3649080991744995, 'redshifts/mse_bin_2': 0.2754287123680115, 'redshifts/mse_bin_3': 0.20889613032341003, 'redshifts/mse_bin_4': 0.23408278822898865, 'redshifts/mse_bin_5': 0.0741557627916336, 'redshifts/nmad': 0.11299873143434525, 'redshifts/nmad_bin_0': 0.21163132786750793, 'redshifts/nmad_bin_1': 0.1354631930589676, 'redshifts/nmad_bin_2': 0.08746665716171265, 'redshifts/nmad_bin_3': 0.06938101351261139, 'redshifts/nmad_bin_4': 0.06177699938416481, 'redshifts/nmad_bin_5': 0.034715261310338974, 'redshifts/outlier_fraction': 0.3273155987262726, 'redshifts/outlier_fraction_bin_0': 0.48682495951652527, 'redshifts/outlier_fraction_bin_1': 0.3576049208641052, 'redshifts/outlier_fraction_bin_2': 0.2582278549671173, 'redshifts/outlier_fraction_bin_3': 0.18601582944393158, 'redshifts/outlier_fraction_bin_4': 0.18778280913829803, 'redshifts/outlier_fraction_bin_5': 0.0908581018447876, 'redshifts/outlier_fraction_cata': 0.0894922986626625, 'redshifts/outlier_fraction_cata_bin_0': 0.1327522248029709, 'redshifts/outlier_fraction_cata_bin_1': 0.09929291158914566, 'redshifts/outlier_fraction_cata_bin_2': 0.0770343616604805, 'redshifts/outlier_fraction_cata_bin_3': 0.05804749205708504, 'redshifts/outlier_fraction_cata_bin_4': 0.057692307978868484, 'redshifts/outlier_fraction_cata_bin_5': 0.017199477180838585}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 421/1563 [37:16<1:39:47, 5.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27213.])\n", + "total num of pts: tensor([10007., 6663., 2770., 1520., 887., 5366.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.1439315229654312, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004168677143752575, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0007655706140212715, 'redshifts/mse': 0.31233635544776917, 'redshifts/mse_bin_0': 0.4375052750110626, 'redshifts/mse_bin_1': 0.36503344774246216, 'redshifts/mse_bin_2': 0.2760082185268402, 'redshifts/mse_bin_3': 0.20893263816833496, 'redshifts/mse_bin_4': 0.23339419066905975, 'redshifts/mse_bin_5': 0.07456910610198975, 'redshifts/nmad': 0.11290376633405685, 'redshifts/nmad_bin_0': 0.21111732721328735, 'redshifts/nmad_bin_1': 0.13558217883110046, 'redshifts/nmad_bin_2': 0.08746665716171265, 'redshifts/nmad_bin_3': 0.06985710561275482, 'redshifts/nmad_bin_4': 0.06172969564795494, 'redshifts/nmad_bin_5': 0.0347142331302166, 'redshifts/outlier_fraction': 0.3272700607776642, 'redshifts/outlier_fraction_bin_0': 0.4864594638347626, 'redshifts/outlier_fraction_bin_1': 0.3577967882156372, 'redshifts/outlier_fraction_bin_2': 0.2581227421760559, 'redshifts/outlier_fraction_bin_3': 0.18618421256542206, 'redshifts/outlier_fraction_bin_4': 0.18827508389949799, 'redshifts/outlier_fraction_bin_5': 0.09112933278083801, 'redshifts/outlier_fraction_cata': 0.08944254368543625, 'redshifts/outlier_fraction_cata_bin_0': 0.13260717689990997, 'redshifts/outlier_fraction_cata_bin_1': 0.09920456260442734, 'redshifts/outlier_fraction_cata_bin_2': 0.07725631445646286, 'redshifts/outlier_fraction_cata_bin_3': 0.057894736528396606, 'redshifts/outlier_fraction_cata_bin_4': 0.05749718099832535, 'redshifts/outlier_fraction_cata_bin_5': 0.01733134500682354}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 422/1563 [37:23<1:49:58, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27272.])\n", + "total num of pts: tensor([10031., 6673., 2781., 1523., 890., 5374.])\n", + "{'redshifts/bias_abs': 0.07610651105642319, 'redshifts/bias_abs_bin_0': 0.14374753832817078, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004168228711932898, 'redshifts/bias_bin_0': 0.030850563198328018, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0007859626784920692, 'redshifts/mse': 0.3126554787158966, 'redshifts/mse_bin_0': 0.4373197555541992, 'redshifts/mse_bin_1': 0.3656960725784302, 'redshifts/mse_bin_2': 0.2761974334716797, 'redshifts/mse_bin_3': 0.21291126310825348, 'redshifts/mse_bin_4': 0.23275436460971832, 'redshifts/mse_bin_5': 0.07446601986885071, 'redshifts/nmad': 0.11287996917963028, 'redshifts/nmad_bin_0': 0.21104998886585236, 'redshifts/nmad_bin_1': 0.13558554649353027, 'redshifts/nmad_bin_2': 0.08752421289682388, 'redshifts/nmad_bin_3': 0.06990251690149307, 'redshifts/nmad_bin_4': 0.062138549983501434, 'redshifts/nmad_bin_5': 0.034739140421152115, 'redshifts/outlier_fraction': 0.32718539237976074, 'redshifts/outlier_fraction_bin_0': 0.4859934151172638, 'redshifts/outlier_fraction_bin_1': 0.3578600287437439, 'redshifts/outlier_fraction_bin_2': 0.25818049907684326, 'redshifts/outlier_fraction_bin_3': 0.1871306598186493, 'redshifts/outlier_fraction_bin_4': 0.1887640506029129, 'redshifts/outlier_fraction_bin_5': 0.09099367260932922, 'redshifts/outlier_fraction_cata': 0.08954238891601562, 'redshifts/outlier_fraction_cata_bin_0': 0.1325889676809311, 'redshifts/outlier_fraction_cata_bin_1': 0.09935561567544937, 'redshifts/outlier_fraction_cata_bin_2': 0.0776699036359787, 'redshifts/outlier_fraction_cata_bin_3': 0.0584372952580452, 'redshifts/outlier_fraction_cata_bin_4': 0.05730336904525757, 'redshifts/outlier_fraction_cata_bin_5': 0.017305545508861542}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 423/1563 [37:27<1:39:03, 5.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27322.])\n", + "total num of pts: tensor([10050., 6687., 2787., 1526., 890., 5382.])\n", + "{'redshifts/bias_abs': 0.07608582079410553, 'redshifts/bias_abs_bin_0': 0.14374753832817078, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05886675417423248, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0007623332785442472, 'redshifts/mse': 0.3127836585044861, 'redshifts/mse_bin_0': 0.43739378452301025, 'redshifts/mse_bin_1': 0.3650885820388794, 'redshifts/mse_bin_2': 0.27562108635902405, 'redshifts/mse_bin_3': 0.21488799154758453, 'redshifts/mse_bin_4': 0.23275436460971832, 'redshifts/mse_bin_5': 0.07534374296665192, 'redshifts/nmad': 0.11287567764520645, 'redshifts/nmad_bin_0': 0.2109580785036087, 'redshifts/nmad_bin_1': 0.13553859293460846, 'redshifts/nmad_bin_2': 0.08756774663925171, 'redshifts/nmad_bin_3': 0.06988769769668579, 'redshifts/nmad_bin_4': 0.062138549983501434, 'redshifts/nmad_bin_5': 0.03471553325653076, 'redshifts/outlier_fraction': 0.3270990550518036, 'redshifts/outlier_fraction_bin_0': 0.4860696494579315, 'redshifts/outlier_fraction_bin_1': 0.35740989446640015, 'redshifts/outlier_fraction_bin_2': 0.25762468576431274, 'redshifts/outlier_fraction_bin_3': 0.18741808831691742, 'redshifts/outlier_fraction_bin_4': 0.1887640506029129, 'redshifts/outlier_fraction_bin_5': 0.09104422479867935, 'redshifts/outlier_fraction_cata': 0.08959812670946121, 'redshifts/outlier_fraction_cata_bin_0': 0.13273632526397705, 'redshifts/outlier_fraction_cata_bin_1': 0.09914760291576385, 'redshifts/outlier_fraction_cata_bin_2': 0.07750269025564194, 'redshifts/outlier_fraction_cata_bin_3': 0.05897771939635277, 'redshifts/outlier_fraction_cata_bin_4': 0.05730336904525757, 'redshifts/outlier_fraction_cata_bin_5': 0.017465626820921898}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 424/1563 [37:32<1:35:33, 5.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27394.])\n", + "total num of pts: tensor([10084., 6703., 2795., 1528., 893., 5391.])\n", + "{'redshifts/bias_abs': 0.07616924494504929, 'redshifts/bias_abs_bin_0': 0.14370137453079224, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04096825793385506, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.004171609878540039, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0007655706140212715, 'redshifts/mse': 0.3130246102809906, 'redshifts/mse_bin_0': 0.43752357363700867, 'redshifts/mse_bin_1': 0.3658064007759094, 'redshifts/mse_bin_2': 0.27555209398269653, 'redshifts/mse_bin_3': 0.21461546421051025, 'redshifts/mse_bin_4': 0.23223666846752167, 'redshifts/mse_bin_5': 0.0752229243516922, 'redshifts/nmad': 0.11300917714834213, 'redshifts/nmad_bin_0': 0.21079014241695404, 'redshifts/nmad_bin_1': 0.13561616837978363, 'redshifts/nmad_bin_2': 0.0876636728644371, 'redshifts/nmad_bin_3': 0.06959501653909683, 'redshifts/nmad_bin_4': 0.06217237189412117, 'redshifts/nmad_bin_5': 0.03471435233950615, 'redshifts/outlier_fraction': 0.32726144790649414, 'redshifts/outlier_fraction_bin_0': 0.48601746559143066, 'redshifts/outlier_fraction_bin_1': 0.3576010763645172, 'redshifts/outlier_fraction_bin_2': 0.2583184242248535, 'redshifts/outlier_fraction_bin_3': 0.1871727705001831, 'redshifts/outlier_fraction_bin_4': 0.18924972414970398, 'redshifts/outlier_fraction_bin_5': 0.09089222550392151, 'redshifts/outlier_fraction_cata': 0.08965466916561127, 'redshifts/outlier_fraction_cata_bin_0': 0.13268543779850006, 'redshifts/outlier_fraction_cata_bin_1': 0.09950768202543259, 'redshifts/outlier_fraction_cata_bin_2': 0.07728085666894913, 'redshifts/outlier_fraction_cata_bin_3': 0.05890052393078804, 'redshifts/outlier_fraction_cata_bin_4': 0.05711086094379425, 'redshifts/outlier_fraction_cata_bin_5': 0.017436468973755836}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 425/1563 [37:36<1:30:42, 4.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27454.])\n", + "total num of pts: tensor([10110., 6716., 2800., 1532., 894., 5402.])\n", + "{'redshifts/bias_abs': 0.07626644521951675, 'redshifts/bias_abs_bin_0': 0.14378492534160614, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.05886675417423248, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04096825793385506, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004165236372500658, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0007974568288773298, 'redshifts/mse': 0.313681423664093, 'redshifts/mse_bin_0': 0.43786048889160156, 'redshifts/mse_bin_1': 0.367260217666626, 'redshifts/mse_bin_2': 0.27511951327323914, 'redshifts/mse_bin_3': 0.2140856683254242, 'redshifts/mse_bin_4': 0.23198580741882324, 'redshifts/mse_bin_5': 0.07641945779323578, 'redshifts/nmad': 0.11304638534784317, 'redshifts/nmad_bin_0': 0.2110976129770279, 'redshifts/nmad_bin_1': 0.13553935289382935, 'redshifts/nmad_bin_2': 0.08746665716171265, 'redshifts/nmad_bin_3': 0.06959501653909683, 'redshifts/nmad_bin_4': 0.06221606582403183, 'redshifts/nmad_bin_5': 0.034746404737234116, 'redshifts/outlier_fraction': 0.32738399505615234, 'redshifts/outlier_fraction_bin_0': 0.486152321100235, 'redshifts/outlier_fraction_bin_1': 0.35780227184295654, 'redshifts/outlier_fraction_bin_2': 0.25857141613960266, 'redshifts/outlier_fraction_bin_3': 0.18668407201766968, 'redshifts/outlier_fraction_bin_4': 0.18903803825378418, 'redshifts/outlier_fraction_bin_5': 0.0908922627568245, 'redshifts/outlier_fraction_cata': 0.08975012600421906, 'redshifts/outlier_fraction_cata_bin_0': 0.13273985683918, 'redshifts/outlier_fraction_cata_bin_1': 0.09976176172494888, 'redshifts/outlier_fraction_cata_bin_2': 0.0771428570151329, 'redshifts/outlier_fraction_cata_bin_3': 0.058746736496686935, 'redshifts/outlier_fraction_cata_bin_4': 0.057046979665756226, 'redshifts/outlier_fraction_cata_bin_5': 0.017586078494787216}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 426/1563 [37:40<1:26:22, 4.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27521.])\n", + "total num of pts: tensor([10134., 6732., 2807., 1538., 896., 5414.])\n", + "{'redshifts/bias_abs': 0.07627314329147339, 'redshifts/bias_abs_bin_0': 0.14384694397449493, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04096825793385506, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004137605428695679, 'redshifts/bias_bin_0': 0.030850563198328018, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0008330424316227436, 'redshifts/mse': 0.3139958381652832, 'redshifts/mse_bin_0': 0.43852555751800537, 'redshifts/mse_bin_1': 0.36792948842048645, 'redshifts/mse_bin_2': 0.2747397720813751, 'redshifts/mse_bin_3': 0.21377325057983398, 'redshifts/mse_bin_4': 0.23153315484523773, 'redshifts/mse_bin_5': 0.0763087049126625, 'redshifts/nmad': 0.11304149776697159, 'redshifts/nmad_bin_0': 0.21111829578876495, 'redshifts/nmad_bin_1': 0.1355057954788208, 'redshifts/nmad_bin_2': 0.08749255537986755, 'redshifts/nmad_bin_3': 0.0698721706867218, 'redshifts/nmad_bin_4': 0.06221606582403183, 'redshifts/nmad_bin_5': 0.034816812723875046, 'redshifts/outlier_fraction': 0.32760438323020935, 'redshifts/outlier_fraction_bin_0': 0.4862838089466095, 'redshifts/outlier_fraction_bin_1': 0.358140230178833, 'redshifts/outlier_fraction_bin_2': 0.2589953541755676, 'redshifts/outlier_fraction_bin_3': 0.18725617229938507, 'redshifts/outlier_fraction_bin_4': 0.1897321492433548, 'redshifts/outlier_fraction_bin_5': 0.09087550640106201, 'redshifts/outlier_fraction_cata': 0.08985865116119385, 'redshifts/outlier_fraction_cata_bin_0': 0.13291889429092407, 'redshifts/outlier_fraction_cata_bin_1': 0.10011883825063705, 'redshifts/outlier_fraction_cata_bin_2': 0.07695048302412033, 'redshifts/outlier_fraction_cata_bin_3': 0.05851755663752556, 'redshifts/outlier_fraction_cata_bin_4': 0.0569196417927742, 'redshifts/outlier_fraction_cata_bin_5': 0.01754710078239441}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 427/1563 [37:44<1:22:46, 4.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27588.])\n", + "total num of pts: tensor([10151., 6752., 2816., 1543., 899., 5427.])\n", + "{'redshifts/bias_abs': 0.07620159536600113, 'redshifts/bias_abs_bin_0': 0.14378492534160614, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05886675417423248, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.0410253070294857, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004128248430788517, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0008215209236368537, 'redshifts/mse': 0.31386491656303406, 'redshifts/mse_bin_0': 0.4379595220088959, 'redshifts/mse_bin_1': 0.36753034591674805, 'redshifts/mse_bin_2': 0.2739426791667938, 'redshifts/mse_bin_3': 0.21571630239486694, 'redshifts/mse_bin_4': 0.23080658912658691, 'redshifts/mse_bin_5': 0.0773637592792511, 'redshifts/nmad': 0.11299891024827957, 'redshifts/nmad_bin_0': 0.21069173514842987, 'redshifts/nmad_bin_1': 0.13547347486019135, 'redshifts/nmad_bin_2': 0.08756444603204727, 'redshifts/nmad_bin_3': 0.06960984319448471, 'redshifts/nmad_bin_4': 0.062342118471860886, 'redshifts/nmad_bin_5': 0.034833893179893494, 'redshifts/outlier_fraction': 0.3272799849510193, 'redshifts/outlier_fraction_bin_0': 0.4859619736671448, 'redshifts/outlier_fraction_bin_1': 0.35752370953559875, 'redshifts/outlier_fraction_bin_2': 0.2581676244735718, 'redshifts/outlier_fraction_bin_3': 0.18859365582466125, 'redshifts/outlier_fraction_bin_4': 0.1890989989042282, 'redshifts/outlier_fraction_bin_5': 0.09102635085582733, 'redshifts/outlier_fraction_cata': 0.08982165902853012, 'redshifts/outlier_fraction_cata_bin_0': 0.13269628584384918, 'redshifts/outlier_fraction_cata_bin_1': 0.1001184806227684, 'redshifts/outlier_fraction_cata_bin_2': 0.07670454680919647, 'redshifts/outlier_fraction_cata_bin_3': 0.05962410941720009, 'redshifts/outlier_fraction_cata_bin_4': 0.05672970041632652, 'redshifts/outlier_fraction_cata_bin_5': 0.017689330503344536}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 428/1563 [37:49<1:25:15, 4.51s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27657.])\n", + "total num of pts: tensor([10173., 6771., 2828., 1545., 900., 5440.])\n", + "{'redshifts/bias_abs': 0.07620159536600113, 'redshifts/bias_abs_bin_0': 0.14374753832817078, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05886675417423248, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04096825793385506, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004117883741855621, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0008330424316227436, 'redshifts/mse': 0.3138117492198944, 'redshifts/mse_bin_0': 0.4379254877567291, 'redshifts/mse_bin_1': 0.36712682247161865, 'redshifts/mse_bin_2': 0.2729825973510742, 'redshifts/mse_bin_3': 0.21543742716312408, 'redshifts/mse_bin_4': 0.23055744171142578, 'redshifts/mse_bin_5': 0.07829487323760986, 'redshifts/nmad': 0.11298905313014984, 'redshifts/nmad_bin_0': 0.21066807210445404, 'redshifts/nmad_bin_1': 0.13555799424648285, 'redshifts/nmad_bin_2': 0.08728968352079391, 'redshifts/nmad_bin_3': 0.06959501653909683, 'redshifts/nmad_bin_4': 0.062270231544971466, 'redshifts/nmad_bin_5': 0.034878574311733246, 'redshifts/outlier_fraction': 0.32715046405792236, 'redshifts/outlier_fraction_bin_0': 0.48589402437210083, 'redshifts/outlier_fraction_bin_1': 0.3572588860988617, 'redshifts/outlier_fraction_bin_2': 0.2577793598175049, 'redshifts/outlier_fraction_bin_3': 0.18834951519966125, 'redshifts/outlier_fraction_bin_4': 0.18888889253139496, 'redshifts/outlier_fraction_bin_5': 0.09117647260427475, 'redshifts/outlier_fraction_cata': 0.08981451392173767, 'redshifts/outlier_fraction_cata_bin_0': 0.1327042132616043, 'redshifts/outlier_fraction_cata_bin_1': 0.10013291984796524, 'redshifts/outlier_fraction_cata_bin_2': 0.07637906819581985, 'redshifts/outlier_fraction_cata_bin_3': 0.059546925127506256, 'redshifts/outlier_fraction_cata_bin_4': 0.05666666850447655, 'redshifts/outlier_fraction_cata_bin_5': 0.017830882221460342}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 27%|██▋ | 429/1563 [37:54<1:26:30, 4.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27718.])\n", + "total num of pts: tensor([10197., 6790., 2831., 1545., 904., 5451.])\n", + "{'redshifts/bias_abs': 0.07616924494504929, 'redshifts/bias_abs_bin_0': 0.14378492534160614, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05886675417423248, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04096825793385506, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.0041221678256988525, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0008330424316227436, 'redshifts/mse': 0.313771516084671, 'redshifts/mse_bin_0': 0.4380469024181366, 'redshifts/mse_bin_1': 0.3668663501739502, 'redshifts/mse_bin_2': 0.2727295458316803, 'redshifts/mse_bin_3': 0.21543742716312408, 'redshifts/mse_bin_4': 0.22964780032634735, 'redshifts/mse_bin_5': 0.0782967209815979, 'redshifts/nmad': 0.1129898950457573, 'redshifts/nmad_bin_0': 0.21101565659046173, 'redshifts/nmad_bin_1': 0.135293647646904, 'redshifts/nmad_bin_2': 0.08740238845348358, 'redshifts/nmad_bin_3': 0.06959501653909683, 'redshifts/nmad_bin_4': 0.06221606582403183, 'redshifts/nmad_bin_5': 0.034906040877103806, 'redshifts/outlier_fraction': 0.32726025581359863, 'redshifts/outlier_fraction_bin_0': 0.48602530360221863, 'redshifts/outlier_fraction_bin_1': 0.3571428656578064, 'redshifts/outlier_fraction_bin_2': 0.25785940885543823, 'redshifts/outlier_fraction_bin_3': 0.18834951519966125, 'redshifts/outlier_fraction_bin_4': 0.18805310130119324, 'redshifts/outlier_fraction_bin_5': 0.09154283255338669, 'redshifts/outlier_fraction_cata': 0.089797243475914, 'redshifts/outlier_fraction_cata_bin_0': 0.1327841579914093, 'redshifts/outlier_fraction_cata_bin_1': 0.10000000149011612, 'redshifts/outlier_fraction_cata_bin_2': 0.07629812508821487, 'redshifts/outlier_fraction_cata_bin_3': 0.059546925127506256, 'redshifts/outlier_fraction_cata_bin_4': 0.05641593039035797, 'redshifts/outlier_fraction_cata_bin_5': 0.0177948996424675}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 430/1563 [37:58<1:27:33, 4.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27789.])\n", + "total num of pts: tensor([10224., 6803., 2837., 1552., 906., 5467.])\n", + "{'redshifts/bias_abs': 0.07616924494504929, 'redshifts/bias_abs_bin_0': 0.14336861670017242, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04096825793385506, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004126113373786211, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0008330424316227436, 'redshifts/mse': 0.3135885000228882, 'redshifts/mse_bin_0': 0.43754881620407104, 'redshifts/mse_bin_1': 0.36751607060432434, 'redshifts/mse_bin_2': 0.2722800672054291, 'redshifts/mse_bin_3': 0.21475932002067566, 'redshifts/mse_bin_4': 0.2291868031024933, 'redshifts/mse_bin_5': 0.07814168930053711, 'redshifts/nmad': 0.11298428475856781, 'redshifts/nmad_bin_0': 0.21059879660606384, 'redshifts/nmad_bin_1': 0.1354556530714035, 'redshifts/nmad_bin_2': 0.08746665716171265, 'redshifts/nmad_bin_3': 0.06911309063434601, 'redshifts/nmad_bin_4': 0.06221606582403183, 'redshifts/nmad_bin_5': 0.03488984704017639, 'redshifts/outlier_fraction': 0.32710784673690796, 'redshifts/outlier_fraction_bin_0': 0.4856220781803131, 'redshifts/outlier_fraction_bin_1': 0.35734236240386963, 'redshifts/outlier_fraction_bin_2': 0.25801903009414673, 'redshifts/outlier_fraction_bin_3': 0.18814432621002197, 'redshifts/outlier_fraction_bin_4': 0.18763796985149384, 'redshifts/outlier_fraction_bin_5': 0.09145783632993698, 'redshifts/outlier_fraction_cata': 0.0897117555141449, 'redshifts/outlier_fraction_cata_bin_0': 0.13262911140918732, 'redshifts/outlier_fraction_cata_bin_1': 0.10010289400815964, 'redshifts/outlier_fraction_cata_bin_2': 0.0761367678642273, 'redshifts/outlier_fraction_cata_bin_3': 0.059278350323438644, 'redshifts/outlier_fraction_cata_bin_4': 0.05629139021039009, 'redshifts/outlier_fraction_cata_bin_5': 0.017742820084095}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 431/1563 [38:03<1:28:05, 4.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27846.])\n", + "total num of pts: tensor([10239., 6815., 2844., 1558., 907., 5483.])\n", + "{'redshifts/bias_abs': 0.07616924494504929, 'redshifts/bias_abs_bin_0': 0.14346063137054443, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.0410253070294857, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0008215209236368537, 'redshifts/mse': 0.31331154704093933, 'redshifts/mse_bin_0': 0.4372435212135315, 'redshifts/mse_bin_1': 0.36710429191589355, 'redshifts/mse_bin_2': 0.27190759778022766, 'redshifts/mse_bin_3': 0.2157423198223114, 'redshifts/mse_bin_4': 0.22898034751415253, 'redshifts/mse_bin_5': 0.07817123830318451, 'redshifts/nmad': 0.11297641694545746, 'redshifts/nmad_bin_0': 0.21062900125980377, 'redshifts/nmad_bin_1': 0.135433167219162, 'redshifts/nmad_bin_2': 0.08738560974597931, 'redshifts/nmad_bin_3': 0.06938101351261139, 'redshifts/nmad_bin_4': 0.062342118471860886, 'redshifts/nmad_bin_5': 0.03489359840750694, 'redshifts/outlier_fraction': 0.3270128667354584, 'redshifts/outlier_fraction_bin_0': 0.48569196462631226, 'redshifts/outlier_fraction_bin_1': 0.3571533262729645, 'redshifts/outlier_fraction_bin_2': 0.25773558020591736, 'redshifts/outlier_fraction_bin_3': 0.18870346248149872, 'redshifts/outlier_fraction_bin_4': 0.18743109703063965, 'redshifts/outlier_fraction_bin_5': 0.09155571460723877, 'redshifts/outlier_fraction_cata': 0.08963585644960403, 'redshifts/outlier_fraction_cata_bin_0': 0.13253247737884521, 'redshifts/outlier_fraction_cata_bin_1': 0.09992663562297821, 'redshifts/outlier_fraction_cata_bin_2': 0.07594936341047287, 'redshifts/outlier_fraction_cata_bin_3': 0.059691913425922394, 'redshifts/outlier_fraction_cata_bin_4': 0.056229326874017715, 'redshifts/outlier_fraction_cata_bin_5': 0.017873426899313927}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 432/1563 [38:08<1:28:49, 4.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27907.])\n", + "total num of pts: tensor([10257., 6835., 2847., 1560., 907., 5501.])\n", + "{'redshifts/bias_abs': 0.07616522163152695, 'redshifts/bias_abs_bin_0': 0.14336861670017242, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.0410253070294857, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0008330424316227436, 'redshifts/mse': 0.3135737478733063, 'redshifts/mse_bin_0': 0.4374643862247467, 'redshifts/mse_bin_1': 0.3671330213546753, 'redshifts/mse_bin_2': 0.27198049426078796, 'redshifts/mse_bin_3': 0.21547198295593262, 'redshifts/mse_bin_4': 0.22898034751415253, 'redshifts/mse_bin_5': 0.07931871712207794, 'redshifts/nmad': 0.11298026889562607, 'redshifts/nmad_bin_0': 0.21062344312667847, 'redshifts/nmad_bin_1': 0.13559848070144653, 'redshifts/nmad_bin_2': 0.08749831467866898, 'redshifts/nmad_bin_3': 0.06938101351261139, 'redshifts/nmad_bin_4': 0.062342118471860886, 'redshifts/nmad_bin_5': 0.034878574311733246, 'redshifts/outlier_fraction': 0.3271222412586212, 'redshifts/outlier_fraction_bin_0': 0.48561957478523254, 'redshifts/outlier_fraction_bin_1': 0.3577176332473755, 'redshifts/outlier_fraction_bin_2': 0.25816649198532104, 'redshifts/outlier_fraction_bin_3': 0.1884615421295166, 'redshifts/outlier_fraction_bin_4': 0.18743109703063965, 'redshifts/outlier_fraction_bin_5': 0.09161970764398575, 'redshifts/outlier_fraction_cata': 0.08961909264326096, 'redshifts/outlier_fraction_cata_bin_0': 0.13249488174915314, 'redshifts/outlier_fraction_cata_bin_1': 0.09992684423923492, 'redshifts/outlier_fraction_cata_bin_2': 0.07586933672428131, 'redshifts/outlier_fraction_cata_bin_3': 0.05961538478732109, 'redshifts/outlier_fraction_cata_bin_4': 0.056229326874017715, 'redshifts/outlier_fraction_cata_bin_5': 0.01799672842025757}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 433/1563 [38:14<1:35:45, 5.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([27982.])\n", + "total num of pts: tensor([10271., 6850., 2857., 1567., 914., 5523.])\n", + "{'redshifts/bias_abs': 0.07606316357851028, 'redshifts/bias_abs_bin_0': 0.14334693551063538, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.0041221678256988525, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0007974568288773298, 'redshifts/mse': 0.3134262263774872, 'redshifts/mse_bin_0': 0.43737226724624634, 'redshifts/mse_bin_1': 0.3673137128353119, 'redshifts/mse_bin_2': 0.27310091257095337, 'redshifts/mse_bin_3': 0.21455039083957672, 'redshifts/mse_bin_4': 0.22843924164772034, 'redshifts/mse_bin_5': 0.0790705680847168, 'redshifts/nmad': 0.11283481866121292, 'redshifts/nmad_bin_0': 0.21054641902446747, 'redshifts/nmad_bin_1': 0.13557983934879303, 'redshifts/nmad_bin_2': 0.08752421289682388, 'redshifts/nmad_bin_3': 0.06911309063434601, 'redshifts/nmad_bin_4': 0.06265127658843994, 'redshifts/nmad_bin_5': 0.03476150333881378, 'redshifts/outlier_fraction': 0.3268529772758484, 'redshifts/outlier_fraction_bin_0': 0.48544445633888245, 'redshifts/outlier_fraction_bin_1': 0.35766422748565674, 'redshifts/outlier_fraction_bin_2': 0.2586629390716553, 'redshifts/outlier_fraction_bin_3': 0.1876196563243866, 'redshifts/outlier_fraction_bin_4': 0.18818381428718567, 'redshifts/outlier_fraction_bin_5': 0.09143581241369247, 'redshifts/outlier_fraction_cata': 0.08952183276414871, 'redshifts/outlier_fraction_cata_bin_0': 0.1324116438627243, 'redshifts/outlier_fraction_cata_bin_1': 0.0998540148139, 'redshifts/outlier_fraction_cata_bin_2': 0.07630381733179092, 'redshifts/outlier_fraction_cata_bin_3': 0.059349074959754944, 'redshifts/outlier_fraction_cata_bin_4': 0.05579868704080582, 'redshifts/outlier_fraction_cata_bin_5': 0.017925040796399117}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 434/1563 [38:19<1:33:16, 4.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28041.])\n", + "total num of pts: tensor([10290., 6866., 2862., 1570., 917., 5536.])\n", + "{'redshifts/bias_abs': 0.07606316357851028, 'redshifts/bias_abs_bin_0': 0.14336861670017242, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.023407816886901855, 'redshifts/bias': 0.0041221678256988525, 'redshifts/bias_bin_0': 0.030691716820001602, 'redshifts/bias_bin_1': 0.009842272847890854, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0007859626784920692, 'redshifts/mse': 0.3131248950958252, 'redshifts/mse_bin_0': 0.4371173083782196, 'redshifts/mse_bin_1': 0.3666754961013794, 'redshifts/mse_bin_2': 0.2726723551750183, 'redshifts/mse_bin_3': 0.21517300605773926, 'redshifts/mse_bin_4': 0.2288440763950348, 'redshifts/mse_bin_5': 0.0788925290107727, 'redshifts/nmad': 0.11283481866121292, 'redshifts/nmad_bin_0': 0.21074239909648895, 'redshifts/nmad_bin_1': 0.13550369441509247, 'redshifts/nmad_bin_2': 0.0874093696475029, 'redshifts/nmad_bin_3': 0.06911309063434601, 'redshifts/nmad_bin_4': 0.06273002177476883, 'redshifts/nmad_bin_5': 0.034739140421152115, 'redshifts/outlier_fraction': 0.3268071711063385, 'redshifts/outlier_fraction_bin_0': 0.48561710119247437, 'redshifts/outlier_fraction_bin_1': 0.35726770758628845, 'redshifts/outlier_fraction_bin_2': 0.258560448884964, 'redshifts/outlier_fraction_bin_3': 0.18853503465652466, 'redshifts/outlier_fraction_bin_4': 0.18865866959095, 'redshifts/outlier_fraction_bin_5': 0.09122110158205032, 'redshifts/outlier_fraction_cata': 0.08947612345218658, 'redshifts/outlier_fraction_cata_bin_0': 0.1323615163564682, 'redshifts/outlier_fraction_cata_bin_1': 0.09962132573127747, 'redshifts/outlier_fraction_cata_bin_2': 0.07617051154375076, 'redshifts/outlier_fraction_cata_bin_3': 0.05987261235713959, 'redshifts/outlier_fraction_cata_bin_4': 0.05670665204524994, 'redshifts/outlier_fraction_cata_bin_5': 0.017882948741316795}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 435/1563 [38:24<1:35:29, 5.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28100.])\n", + "total num of pts: tensor([10311., 6886., 2865., 1573., 918., 5547.])\n", + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.14336861670017242, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.009842272847890854, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0007655706140212715, 'redshifts/mse': 0.3130708932876587, 'redshifts/mse_bin_0': 0.43700480461120605, 'redshifts/mse_bin_1': 0.36659520864486694, 'redshifts/mse_bin_2': 0.27280953526496887, 'redshifts/mse_bin_3': 0.21502333879470825, 'redshifts/mse_bin_4': 0.22859632968902588, 'redshifts/mse_bin_5': 0.07883262634277344, 'redshifts/nmad': 0.11282134056091309, 'redshifts/nmad_bin_0': 0.21073463559150696, 'redshifts/nmad_bin_1': 0.13550369441509247, 'redshifts/nmad_bin_2': 0.08760526031255722, 'redshifts/nmad_bin_3': 0.06911313533782959, 'redshifts/nmad_bin_4': 0.0626530721783638, 'redshifts/nmad_bin_5': 0.034699130803346634, 'redshifts/outlier_fraction': 0.32683274149894714, 'redshifts/outlier_fraction_bin_0': 0.4855979084968567, 'redshifts/outlier_fraction_bin_1': 0.35710135102272034, 'redshifts/outlier_fraction_bin_2': 0.25898778438568115, 'redshifts/outlier_fraction_bin_3': 0.18881118297576904, 'redshifts/outlier_fraction_bin_4': 0.18845315277576447, 'redshifts/outlier_fraction_bin_5': 0.09122048318386078, 'redshifts/outlier_fraction_cata': 0.08946619182825089, 'redshifts/outlier_fraction_cata_bin_0': 0.13238288462162018, 'redshifts/outlier_fraction_cata_bin_1': 0.09947720170021057, 'redshifts/outlier_fraction_cata_bin_2': 0.07643979042768478, 'redshifts/outlier_fraction_cata_bin_3': 0.05975842475891113, 'redshifts/outlier_fraction_cata_bin_4': 0.056644879281520844, 'redshifts/outlier_fraction_cata_bin_5': 0.017847485840320587}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 436/1563 [38:29<1:33:43, 4.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28162.])\n", + "total num of pts: tensor([10330., 6901., 2874., 1579., 920., 5558.])\n", + "{'redshifts/bias_abs': 0.07603517919778824, 'redshifts/bias_abs_bin_0': 0.14347749948501587, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.030562477186322212, 'redshifts/bias_bin_1': 0.009791618213057518, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0007655706140212715, 'redshifts/mse': 0.3127635419368744, 'redshifts/mse_bin_0': 0.43671321868896484, 'redshifts/mse_bin_1': 0.36600080132484436, 'redshifts/mse_bin_2': 0.27245721220970154, 'redshifts/mse_bin_3': 0.21529622375965118, 'redshifts/mse_bin_4': 0.2281038761138916, 'redshifts/mse_bin_5': 0.07883844524621964, 'redshifts/nmad': 0.11280354112386703, 'redshifts/nmad_bin_0': 0.210678368806839, 'redshifts/nmad_bin_1': 0.13531394302845, 'redshifts/nmad_bin_2': 0.0874093696475029, 'redshifts/nmad_bin_3': 0.0693967342376709, 'redshifts/nmad_bin_4': 0.06265127658843994, 'redshifts/nmad_bin_5': 0.034699130803346634, 'redshifts/outlier_fraction': 0.3267878592014313, 'redshifts/outlier_fraction_bin_0': 0.48586639761924744, 'redshifts/outlier_fraction_bin_1': 0.35661497712135315, 'redshifts/outlier_fraction_bin_2': 0.25852471590042114, 'redshifts/outlier_fraction_bin_3': 0.1893603503704071, 'redshifts/outlier_fraction_bin_4': 0.188043475151062, 'redshifts/outlier_fraction_bin_5': 0.09139978140592575, 'redshifts/outlier_fraction_cata': 0.08937575668096542, 'redshifts/outlier_fraction_cata_bin_0': 0.13223621249198914, 'redshifts/outlier_fraction_cata_bin_1': 0.09926097840070724, 'redshifts/outlier_fraction_cata_bin_2': 0.07654836773872375, 'redshifts/outlier_fraction_cata_bin_3': 0.06016466021537781, 'redshifts/outlier_fraction_cata_bin_4': 0.056521739810705185, 'redshifts/outlier_fraction_cata_bin_5': 0.01781216263771057}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 437/1563 [38:34<1:33:37, 4.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28216.])\n", + "total num of pts: tensor([10343., 6916., 2881., 1583., 925., 5568.])\n", + "{'redshifts/bias_abs': 0.07603517919778824, 'redshifts/bias_abs_bin_0': 0.14378492534160614, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004111929330974817, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.009572970680892467, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0007623332785442472, 'redshifts/mse': 0.3126245141029358, 'redshifts/mse_bin_0': 0.43684935569763184, 'redshifts/mse_bin_1': 0.3656783401966095, 'redshifts/mse_bin_2': 0.27187496423721313, 'redshifts/mse_bin_3': 0.2151508778333664, 'redshifts/mse_bin_4': 0.2286825180053711, 'redshifts/mse_bin_5': 0.07871219515800476, 'redshifts/nmad': 0.11280524730682373, 'redshifts/nmad_bin_0': 0.21108540892601013, 'redshifts/nmad_bin_1': 0.13538691401481628, 'redshifts/nmad_bin_2': 0.08781367540359497, 'redshifts/nmad_bin_3': 0.06942661851644516, 'redshifts/nmad_bin_4': 0.06271398812532425, 'redshifts/nmad_bin_5': 0.034694332629442215, 'redshifts/outlier_fraction': 0.3269067108631134, 'redshifts/outlier_fraction_bin_0': 0.4860292077064514, 'redshifts/outlier_fraction_bin_1': 0.3567090928554535, 'redshifts/outlier_fraction_bin_2': 0.2582436800003052, 'redshifts/outlier_fraction_bin_3': 0.18951357901096344, 'redshifts/outlier_fraction_bin_4': 0.19135135412216187, 'redshifts/outlier_fraction_bin_5': 0.09141522645950317, 'redshifts/outlier_fraction_cata': 0.08934646844863892, 'redshifts/outlier_fraction_cata_bin_0': 0.1323600560426712, 'redshifts/outlier_fraction_cata_bin_1': 0.09919027984142303, 'redshifts/outlier_fraction_cata_bin_2': 0.07636237144470215, 'redshifts/outlier_fraction_cata_bin_3': 0.060012634843587875, 'redshifts/outlier_fraction_cata_bin_4': 0.05621621757745743, 'redshifts/outlier_fraction_cata_bin_5': 0.01778017170727253}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 438/1563 [38:38<1:30:30, 4.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28269.])\n", + "total num of pts: tensor([10361., 6925., 2888., 1588., 928., 5579.])\n", + "{'redshifts/bias_abs': 0.07607142627239227, 'redshifts/bias_abs_bin_0': 0.14378492534160614, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023381708189845085, 'redshifts/bias': 0.004095409531146288, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.009791618213057518, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0007655706140212715, 'redshifts/mse': 0.3126610815525055, 'redshifts/mse_bin_0': 0.43689262866973877, 'redshifts/mse_bin_1': 0.3663420081138611, 'redshifts/mse_bin_2': 0.27133461833000183, 'redshifts/mse_bin_3': 0.2149539291858673, 'redshifts/mse_bin_4': 0.2279483526945114, 'redshifts/mse_bin_5': 0.07860978692770004, 'redshifts/nmad': 0.11290759593248367, 'redshifts/nmad_bin_0': 0.21101565659046173, 'redshifts/nmad_bin_1': 0.13560448586940765, 'redshifts/nmad_bin_2': 0.08781367540359497, 'redshifts/nmad_bin_3': 0.06938132643699646, 'redshifts/nmad_bin_4': 0.06263525038957596, 'redshifts/nmad_bin_5': 0.03471073508262634, 'redshifts/outlier_fraction': 0.32693055272102356, 'redshifts/outlier_fraction_bin_0': 0.486053466796875, 'redshifts/outlier_fraction_bin_1': 0.3569675087928772, 'redshifts/outlier_fraction_bin_2': 0.25796398520469666, 'redshifts/outlier_fraction_bin_3': 0.190176323056221, 'redshifts/outlier_fraction_bin_4': 0.19073276221752167, 'redshifts/outlier_fraction_bin_5': 0.09141423553228378, 'redshifts/outlier_fraction_cata': 0.08939120918512344, 'redshifts/outlier_fraction_cata_bin_0': 0.13251616060733795, 'redshifts/outlier_fraction_cata_bin_1': 0.09935018420219421, 'redshifts/outlier_fraction_cata_bin_2': 0.07617728412151337, 'redshifts/outlier_fraction_cata_bin_3': 0.05982367694377899, 'redshifts/outlier_fraction_cata_bin_4': 0.05603448301553726, 'redshifts/outlier_fraction_cata_bin_5': 0.017745114862918854}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 439/1563 [38:44<1:37:46, 5.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28330.])\n", + "total num of pts: tensor([10377., 6938., 2896., 1590., 931., 5598.])\n", + "{'redshifts/bias_abs': 0.07601064443588257, 'redshifts/bias_abs_bin_0': 0.14391006529331207, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.004100842867046595, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.009842272847890854, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0007443130016326904, 'redshifts/mse': 0.31268835067749023, 'redshifts/mse_bin_0': 0.4376211166381836, 'redshifts/mse_bin_1': 0.3660964071750641, 'redshifts/mse_bin_2': 0.2707270681858063, 'redshifts/mse_bin_3': 0.21468974649906158, 'redshifts/mse_bin_4': 0.2272399216890335, 'redshifts/mse_bin_5': 0.07866321504116058, 'redshifts/nmad': 0.11274604499340057, 'redshifts/nmad_bin_0': 0.21124719083309174, 'redshifts/nmad_bin_1': 0.13552938401699066, 'redshifts/nmad_bin_2': 0.08752421289682388, 'redshifts/nmad_bin_3': 0.06918361037969589, 'redshifts/nmad_bin_4': 0.06272634863853455, 'redshifts/nmad_bin_5': 0.034670934081077576, 'redshifts/outlier_fraction': 0.3268972933292389, 'redshifts/outlier_fraction_bin_0': 0.48626771569252014, 'redshifts/outlier_fraction_bin_1': 0.3571634590625763, 'redshifts/outlier_fraction_bin_2': 0.2575966715812683, 'redshifts/outlier_fraction_bin_3': 0.18993709981441498, 'redshifts/outlier_fraction_bin_4': 0.19011814892292023, 'redshifts/outlier_fraction_bin_5': 0.09146123379468918, 'redshifts/outlier_fraction_cata': 0.08948111534118652, 'redshifts/outlier_fraction_cata_bin_0': 0.13279367983341217, 'redshifts/outlier_fraction_cata_bin_1': 0.09945229440927505, 'redshifts/outlier_fraction_cata_bin_2': 0.07596684992313385, 'redshifts/outlier_fraction_cata_bin_3': 0.05974842607975006, 'redshifts/outlier_fraction_cata_bin_4': 0.05585392192006111, 'redshifts/outlier_fraction_cata_bin_5': 0.017863523215055466}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 440/1563 [38:49<1:33:38, 5.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28389.])\n", + "total num of pts: tensor([10394., 6954., 2903., 1596., 933., 5609.])\n", + "{'redshifts/bias_abs': 0.07600955665111542, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.00409969687461853, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.009791618213057518, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0007421503541991115, 'redshifts/mse': 0.3127623200416565, 'redshifts/mse_bin_0': 0.43776214122772217, 'redshifts/mse_bin_1': 0.366080641746521, 'redshifts/mse_bin_2': 0.2705184519290924, 'redshifts/mse_bin_3': 0.21672673523426056, 'redshifts/mse_bin_4': 0.22677460312843323, 'redshifts/mse_bin_5': 0.07851699739694595, 'redshifts/nmad': 0.11274434626102448, 'redshifts/nmad_bin_0': 0.21140646934509277, 'redshifts/nmad_bin_1': 0.13542859256267548, 'redshifts/nmad_bin_2': 0.08752421289682388, 'redshifts/nmad_bin_3': 0.06951677054166794, 'redshifts/nmad_bin_4': 0.06283959001302719, 'redshifts/nmad_bin_5': 0.03467414155602455, 'redshifts/outlier_fraction': 0.3268871605396271, 'redshifts/outlier_fraction_bin_0': 0.4864344894886017, 'redshifts/outlier_fraction_bin_1': 0.35706067085266113, 'redshifts/outlier_fraction_bin_2': 0.2576644718647003, 'redshifts/outlier_fraction_bin_3': 0.190476194024086, 'redshifts/outlier_fraction_bin_4': 0.1897106170654297, 'redshifts/outlier_fraction_bin_5': 0.09128186851739883, 'redshifts/outlier_fraction_cata': 0.08950649946928024, 'redshifts/outlier_fraction_cata_bin_0': 0.1327688992023468, 'redshifts/outlier_fraction_cata_bin_1': 0.09951107203960419, 'redshifts/outlier_fraction_cata_bin_2': 0.07612814009189606, 'redshifts/outlier_fraction_cata_bin_3': 0.060150377452373505, 'redshifts/outlier_fraction_cata_bin_4': 0.055734191089868546, 'redshifts/outlier_fraction_cata_bin_5': 0.01782849058508873}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 441/1563 [38:54<1:32:41, 4.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28449.])\n", + "total num of pts: tensor([10408., 6967., 2906., 1597., 940., 5631.])\n", + "{'redshifts/bias_abs': 0.07599033415317535, 'redshifts/bias_abs_bin_0': 0.1439315229654312, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004086958710104227, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.009474060498178005, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0007284898892976344, 'redshifts/mse': 0.31245797872543335, 'redshifts/mse_bin_0': 0.4377216100692749, 'redshifts/mse_bin_1': 0.3655990660190582, 'redshifts/mse_bin_2': 0.2702963650226593, 'redshifts/mse_bin_3': 0.21664462983608246, 'redshifts/mse_bin_4': 0.22543224692344666, 'redshifts/mse_bin_5': 0.07864007353782654, 'redshifts/nmad': 0.11271623522043228, 'redshifts/nmad_bin_0': 0.2111276239156723, 'redshifts/nmad_bin_1': 0.1355118602514267, 'redshifts/nmad_bin_2': 0.08749831467866898, 'redshifts/nmad_bin_3': 0.06986662745475769, 'redshifts/nmad_bin_4': 0.0629672035574913, 'redshifts/nmad_bin_5': 0.03469439223408699, 'redshifts/outlier_fraction': 0.3267250061035156, 'redshifts/outlier_fraction_bin_0': 0.486356645822525, 'redshifts/outlier_fraction_bin_1': 0.35696855187416077, 'redshifts/outlier_fraction_bin_2': 0.25739848613739014, 'redshifts/outlier_fraction_bin_3': 0.19035692512989044, 'redshifts/outlier_fraction_bin_4': 0.19042553007602692, 'redshifts/outlier_fraction_bin_5': 0.09145800024271011, 'redshifts/outlier_fraction_cata': 0.08942317962646484, 'redshifts/outlier_fraction_cata_bin_0': 0.1327824741601944, 'redshifts/outlier_fraction_cata_bin_1': 0.09932538866996765, 'redshifts/outlier_fraction_cata_bin_2': 0.0760495513677597, 'redshifts/outlier_fraction_cata_bin_3': 0.060112711042165756, 'redshifts/outlier_fraction_cata_bin_4': 0.05531914904713631, 'redshifts/outlier_fraction_cata_bin_5': 0.017936423420906067}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 442/1563 [38:58<1:26:55, 4.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28510.])\n", + "total num of pts: tensor([10434., 6980., 2910., 1602., 942., 5642.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004080861806869507, 'redshifts/bias_bin_0': 0.030204283073544502, 'redshifts/bias_bin_1': 0.009445532225072384, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0007277843542397022, 'redshifts/mse': 0.31251078844070435, 'redshifts/mse_bin_0': 0.4378803074359894, 'redshifts/mse_bin_1': 0.3657452464103699, 'redshifts/mse_bin_2': 0.2700546681880951, 'redshifts/mse_bin_3': 0.21674765646457672, 'redshifts/mse_bin_4': 0.2249564379453659, 'redshifts/mse_bin_5': 0.07850872725248337, 'redshifts/nmad': 0.11263345181941986, 'redshifts/nmad_bin_0': 0.21114905178546906, 'redshifts/nmad_bin_1': 0.13542474806308746, 'redshifts/nmad_bin_2': 0.08749831467866898, 'redshifts/nmad_bin_3': 0.06985185295343399, 'redshifts/nmad_bin_4': 0.0625649020075798, 'redshifts/nmad_bin_5': 0.03472251817584038, 'redshifts/outlier_fraction': 0.32679760456085205, 'redshifts/outlier_fraction_bin_0': 0.4864864945411682, 'redshifts/outlier_fraction_bin_1': 0.35687679052352905, 'redshifts/outlier_fraction_bin_2': 0.25738832354545593, 'redshifts/outlier_fraction_bin_3': 0.19163545966148376, 'redshifts/outlier_fraction_bin_4': 0.19002123177051544, 'redshifts/outlier_fraction_bin_5': 0.09127968549728394, 'redshifts/outlier_fraction_cata': 0.08947737514972687, 'redshifts/outlier_fraction_cata_bin_0': 0.13293080031871796, 'redshifts/outlier_fraction_cata_bin_1': 0.09942693263292313, 'redshifts/outlier_fraction_cata_bin_2': 0.07594501972198486, 'redshifts/outlier_fraction_cata_bin_3': 0.05992509424686432, 'redshifts/outlier_fraction_cata_bin_4': 0.0552016980946064, 'redshifts/outlier_fraction_cata_bin_5': 0.017901454120874405}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 443/1563 [39:02<1:24:22, 4.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28567.])\n", + "total num of pts: tensor([10448., 6995., 2916., 1607., 946., 5655.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.1439315229654312, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.023407816886901855, 'redshifts/bias': 0.004071675706654787, 'redshifts/bias_bin_0': 0.030100848525762558, 'redshifts/bias_bin_1': 0.009445532225072384, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0007206868613138795, 'redshifts/mse': 0.3127206563949585, 'redshifts/mse_bin_0': 0.43747392296791077, 'redshifts/mse_bin_1': 0.36730557680130005, 'redshifts/mse_bin_2': 0.270213782787323, 'redshifts/mse_bin_3': 0.21640644967556, 'redshifts/mse_bin_4': 0.2243061512708664, 'redshifts/mse_bin_5': 0.07879138737916946, 'redshifts/nmad': 0.11264707148075104, 'redshifts/nmad_bin_0': 0.2111571878194809, 'redshifts/nmad_bin_1': 0.13539418578147888, 'redshifts/nmad_bin_2': 0.08781367540359497, 'redshifts/nmad_bin_3': 0.06986662745475769, 'redshifts/nmad_bin_4': 0.06300102919340134, 'redshifts/nmad_bin_5': 0.034739330410957336, 'redshifts/outlier_fraction': 0.32674065232276917, 'redshifts/outlier_fraction_bin_0': 0.48640888929367065, 'redshifts/outlier_fraction_bin_1': 0.35654038190841675, 'redshifts/outlier_fraction_bin_2': 0.25823044776916504, 'redshifts/outlier_fraction_bin_3': 0.19166147708892822, 'redshifts/outlier_fraction_bin_4': 0.19027483463287354, 'redshifts/outlier_fraction_bin_5': 0.09142351895570755, 'redshifts/outlier_fraction_cata': 0.08947386592626572, 'redshifts/outlier_fraction_cata_bin_0': 0.1327526867389679, 'redshifts/outlier_fraction_cata_bin_1': 0.09964260458946228, 'redshifts/outlier_fraction_cata_bin_2': 0.07613168656826019, 'redshifts/outlier_fraction_cata_bin_3': 0.0597386434674263, 'redshifts/outlier_fraction_cata_bin_4': 0.05496828630566597, 'redshifts/outlier_fraction_cata_bin_5': 0.018037134781479836}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 444/1563 [39:05<1:18:13, 4.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28641.])\n", + "total num of pts: tensor([10470., 7015., 2921., 1612., 949., 5674.])\n", + "{'redshifts/bias_abs': 0.07598108798265457, 'redshifts/bias_abs_bin_0': 0.1439315229654312, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004071675706654787, 'redshifts/bias_bin_0': 0.030026938766241074, 'redshifts/bias_bin_1': 0.009386750869452953, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0007118284702301025, 'redshifts/mse': 0.3124707043170929, 'redshifts/mse_bin_0': 0.4371444880962372, 'redshifts/mse_bin_1': 0.36704105138778687, 'redshifts/mse_bin_2': 0.2709638178348541, 'redshifts/mse_bin_3': 0.21584336459636688, 'redshifts/mse_bin_4': 0.22360365092754364, 'redshifts/mse_bin_5': 0.07863253355026245, 'redshifts/nmad': 0.11265880614519119, 'redshifts/nmad_bin_0': 0.21114800870418549, 'redshifts/nmad_bin_1': 0.1354847550392151, 'redshifts/nmad_bin_2': 0.08783235400915146, 'redshifts/nmad_bin_3': 0.06986662745475769, 'redshifts/nmad_bin_4': 0.06266909837722778, 'redshifts/nmad_bin_5': 0.03471013531088829, 'redshifts/outlier_fraction': 0.3266296684741974, 'redshifts/outlier_fraction_bin_0': 0.48643743991851807, 'redshifts/outlier_fraction_bin_1': 0.35652172565460205, 'redshifts/outlier_fraction_bin_2': 0.2581307888031006, 'redshifts/outlier_fraction_bin_3': 0.19106699526309967, 'redshifts/outlier_fraction_bin_4': 0.18967333436012268, 'redshifts/outlier_fraction_bin_5': 0.09146986156702042, 'redshifts/outlier_fraction_cata': 0.08941727131605148, 'redshifts/outlier_fraction_cata_bin_0': 0.132664754986763, 'redshifts/outlier_fraction_cata_bin_1': 0.09964361786842346, 'redshifts/outlier_fraction_cata_bin_2': 0.07634371519088745, 'redshifts/outlier_fraction_cata_bin_3': 0.0595533512532711, 'redshifts/outlier_fraction_cata_bin_4': 0.054794520139694214, 'redshifts/outlier_fraction_cata_bin_5': 0.017976736649870872}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 28%|██▊ | 445/1563 [39:11<1:24:58, 4.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28698.])\n", + "total num of pts: tensor([10487., 7029., 2927., 1614., 955., 5686.])\n", + "{'redshifts/bias_abs': 0.07587627321481705, 'redshifts/bias_abs_bin_0': 0.14378492534160614, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023407816886901855, 'redshifts/bias': 0.004117883741855621, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.00951050128787756, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0006992905400693417, 'redshifts/mse': 0.31208378076553345, 'redshifts/mse_bin_0': 0.4367092549800873, 'redshifts/mse_bin_1': 0.3667892813682556, 'redshifts/mse_bin_2': 0.270531564950943, 'redshifts/mse_bin_3': 0.21557781100273132, 'redshifts/mse_bin_4': 0.2222348302602768, 'redshifts/mse_bin_5': 0.07847936451435089, 'redshifts/nmad': 0.11252756416797638, 'redshifts/nmad_bin_0': 0.21101529896259308, 'redshifts/nmad_bin_1': 0.13545022904872894, 'redshifts/nmad_bin_2': 0.08781644701957703, 'redshifts/nmad_bin_3': 0.06951677054166794, 'redshifts/nmad_bin_4': 0.06265127658843994, 'redshifts/nmad_bin_5': 0.034737683832645416, 'redshifts/outlier_fraction': 0.3263642191886902, 'redshifts/outlier_fraction_bin_0': 0.4861256778240204, 'redshifts/outlier_fraction_bin_1': 0.3563807010650635, 'redshifts/outlier_fraction_bin_2': 0.25828492641448975, 'redshifts/outlier_fraction_bin_3': 0.19083023071289062, 'redshifts/outlier_fraction_bin_4': 0.1884816735982895, 'redshifts/outlier_fraction_bin_5': 0.09127681702375412, 'redshifts/outlier_fraction_cata': 0.08934420347213745, 'redshifts/outlier_fraction_cata_bin_0': 0.13254505395889282, 'redshifts/outlier_fraction_cata_bin_1': 0.09972969442605972, 'redshifts/outlier_fraction_cata_bin_2': 0.07618722319602966, 'redshifts/outlier_fraction_cata_bin_3': 0.05947955325245857, 'redshifts/outlier_fraction_cata_bin_4': 0.05445026233792305, 'redshifts/outlier_fraction_cata_bin_5': 0.017938796430826187}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▊ | 446/1563 [39:15<1:24:19, 4.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28746.])\n", + "total num of pts: tensor([10504., 7039., 2932., 1618., 957., 5696.])\n", + "{'redshifts/bias_abs': 0.07585947215557098, 'redshifts/bias_abs_bin_0': 0.14378492534160614, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004126113373786211, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.00951050128787756, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.3122798800468445, 'redshifts/mse_bin_0': 0.4372016489505768, 'redshifts/mse_bin_1': 0.3670409321784973, 'redshifts/mse_bin_2': 0.2702024281024933, 'redshifts/mse_bin_3': 0.2163299024105072, 'redshifts/mse_bin_4': 0.22177812457084656, 'redshifts/mse_bin_5': 0.07836057990789413, 'redshifts/nmad': 0.11252255737781525, 'redshifts/nmad_bin_0': 0.21101529896259308, 'redshifts/nmad_bin_1': 0.135457843542099, 'redshifts/nmad_bin_2': 0.08754797279834747, 'redshifts/nmad_bin_3': 0.06955333799123764, 'redshifts/nmad_bin_4': 0.06261981278657913, 'redshifts/nmad_bin_5': 0.03475267440080643, 'redshifts/outlier_fraction': 0.32644543051719666, 'redshifts/outlier_fraction_bin_0': 0.48619574308395386, 'redshifts/outlier_fraction_bin_1': 0.3564426898956299, 'redshifts/outlier_fraction_bin_2': 0.25852659344673157, 'redshifts/outlier_fraction_bin_3': 0.19159455597400665, 'redshifts/outlier_fraction_bin_4': 0.18808777630329132, 'redshifts/outlier_fraction_bin_5': 0.0912921354174614, 'redshifts/outlier_fraction_cata': 0.08940374106168747, 'redshifts/outlier_fraction_cata_bin_0': 0.13271135091781616, 'redshifts/outlier_fraction_cata_bin_1': 0.09973007440567017, 'redshifts/outlier_fraction_cata_bin_2': 0.0760572999715805, 'redshifts/outlier_fraction_cata_bin_3': 0.059950556606054306, 'redshifts/outlier_fraction_cata_bin_4': 0.05433646962046623, 'redshifts/outlier_fraction_cata_bin_5': 0.01790730282664299}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▊ | 447/1563 [39:18<1:17:30, 4.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28800.])\n", + "total num of pts: tensor([10526., 7051., 2935., 1620., 959., 5709.])\n", + "{'redshifts/bias_abs': 0.07594108581542969, 'redshifts/bias_abs_bin_0': 0.1439315229654312, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004135464783757925, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.00956218596547842, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0006992905400693417, 'redshifts/mse': 0.31288838386535645, 'redshifts/mse_bin_0': 0.4381009638309479, 'redshifts/mse_bin_1': 0.3674796223640442, 'redshifts/mse_bin_2': 0.2699715197086334, 'redshifts/mse_bin_3': 0.2203485518693924, 'redshifts/mse_bin_4': 0.22133797407150269, 'redshifts/mse_bin_5': 0.07830625772476196, 'redshifts/nmad': 0.11259245127439499, 'redshifts/nmad_bin_0': 0.2111276239156723, 'redshifts/nmad_bin_1': 0.13540290296077728, 'redshifts/nmad_bin_2': 0.08767697960138321, 'redshifts/nmad_bin_3': 0.06960984319448471, 'redshifts/nmad_bin_4': 0.06265127658843994, 'redshifts/nmad_bin_5': 0.03477105498313904, 'redshifts/outlier_fraction': 0.32663193345069885, 'redshifts/outlier_fraction_bin_0': 0.4865095913410187, 'redshifts/outlier_fraction_bin_1': 0.3562615215778351, 'redshifts/outlier_fraction_bin_2': 0.2586030662059784, 'redshifts/outlier_fraction_bin_3': 0.19197531044483185, 'redshifts/outlier_fraction_bin_4': 0.18769551813602448, 'redshifts/outlier_fraction_bin_5': 0.09178490191698074, 'redshifts/outlier_fraction_cata': 0.08958332985639572, 'redshifts/outlier_fraction_cata_bin_0': 0.13309898972511292, 'redshifts/outlier_fraction_cata_bin_1': 0.09984399378299713, 'redshifts/outlier_fraction_cata_bin_2': 0.0759795606136322, 'redshifts/outlier_fraction_cata_bin_3': 0.0604938268661499, 'redshifts/outlier_fraction_cata_bin_4': 0.05422315001487732, 'redshifts/outlier_fraction_cata_bin_5': 0.017866525799036026}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▊ | 448/1563 [39:23<1:18:32, 4.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28859.])\n", + "total num of pts: tensor([10548., 7069., 2937., 1624., 960., 5721.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14374753832817078, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05886675417423248, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.009791618213057518, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0006682225503027439, 'redshifts/mse': 0.3129044473171234, 'redshifts/mse_bin_0': 0.43799373507499695, 'redshifts/mse_bin_1': 0.36766287684440613, 'redshifts/mse_bin_2': 0.26979005336761475, 'redshifts/mse_bin_3': 0.21982523798942566, 'redshifts/mse_bin_4': 0.22110754251480103, 'redshifts/mse_bin_5': 0.07857336103916168, 'redshifts/nmad': 0.11258092522621155, 'redshifts/nmad_bin_0': 0.21102206408977509, 'redshifts/nmad_bin_1': 0.135271355509758, 'redshifts/nmad_bin_2': 0.0876636728644371, 'redshifts/nmad_bin_3': 0.0698721706867218, 'redshifts/nmad_bin_4': 0.06252701580524445, 'redshifts/nmad_bin_5': 0.03477153554558754, 'redshifts/outlier_fraction': 0.32644927501678467, 'redshifts/outlier_fraction_bin_0': 0.4861585199832916, 'redshifts/outlier_fraction_bin_1': 0.3562031388282776, 'redshifts/outlier_fraction_bin_2': 0.2584269642829895, 'redshifts/outlier_fraction_bin_3': 0.19150246679782867, 'redshifts/outlier_fraction_bin_4': 0.1875, 'redshifts/outlier_fraction_bin_5': 0.09176717698574066, 'redshifts/outlier_fraction_cata': 0.0895734429359436, 'redshifts/outlier_fraction_cata_bin_0': 0.13291619718074799, 'redshifts/outlier_fraction_cata_bin_1': 0.10001414269208908, 'redshifts/outlier_fraction_cata_bin_2': 0.07592781633138657, 'redshifts/outlier_fraction_cata_bin_3': 0.06034482643008232, 'redshifts/outlier_fraction_cata_bin_4': 0.05416666716337204, 'redshifts/outlier_fraction_cata_bin_5': 0.01800384558737278}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▊ | 449/1563 [39:30<1:36:20, 5.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28920.])\n", + "total num of pts: tensor([10570., 7084., 2944., 1626., 962., 5734.])\n", + "{'redshifts/bias_abs': 0.07581827789545059, 'redshifts/bias_abs_bin_0': 0.14347749948501587, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05886675417423248, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004166455008089542, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.009572970680892467, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.3128129839897156, 'redshifts/mse_bin_0': 0.4384125769138336, 'redshifts/mse_bin_1': 0.36704370379447937, 'redshifts/mse_bin_2': 0.26933974027633667, 'redshifts/mse_bin_3': 0.21991102397441864, 'redshifts/mse_bin_4': 0.22065414488315582, 'redshifts/mse_bin_5': 0.07841289788484573, 'redshifts/nmad': 0.1124742329120636, 'redshifts/nmad_bin_0': 0.2109909951686859, 'redshifts/nmad_bin_1': 0.13523581624031067, 'redshifts/nmad_bin_2': 0.0876636728644371, 'redshifts/nmad_bin_3': 0.06988769769668579, 'redshifts/nmad_bin_4': 0.06249319389462471, 'redshifts/nmad_bin_5': 0.03481220453977585, 'redshifts/outlier_fraction': 0.3262794017791748, 'redshifts/outlier_fraction_bin_0': 0.48599809408187866, 'redshifts/outlier_fraction_bin_1': 0.35601356625556946, 'redshifts/outlier_fraction_bin_2': 0.25815218687057495, 'redshifts/outlier_fraction_bin_3': 0.19188192486763, 'redshifts/outlier_fraction_bin_4': 0.18711018562316895, 'redshifts/outlier_fraction_bin_5': 0.09155911952257156, 'redshifts/outlier_fraction_cata': 0.08948824554681778, 'redshifts/outlier_fraction_cata_bin_0': 0.13292336463928223, 'redshifts/outlier_fraction_cata_bin_1': 0.09980237483978271, 'redshifts/outlier_fraction_cata_bin_2': 0.0757472813129425, 'redshifts/outlier_fraction_cata_bin_3': 0.060270603746175766, 'redshifts/outlier_fraction_cata_bin_4': 0.054054055362939835, 'redshifts/outlier_fraction_cata_bin_5': 0.017963027581572533}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 450/1563 [39:36<1:41:16, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([28985.])\n", + "total num of pts: tensor([10588., 7104., 2947., 1634., 964., 5748.])\n", + "{'redshifts/bias_abs': 0.07589719444513321, 'redshifts/bias_abs_bin_0': 0.14370137453079224, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.0234345905482769, 'redshifts/bias': 0.004168677143752575, 'redshifts/bias_bin_0': 0.03042096272110939, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.3127909004688263, 'redshifts/mse_bin_0': 0.438436895608902, 'redshifts/mse_bin_1': 0.36676347255706787, 'redshifts/mse_bin_2': 0.2690940797328949, 'redshifts/mse_bin_3': 0.2221875935792923, 'redshifts/mse_bin_4': 0.22041946649551392, 'redshifts/mse_bin_5': 0.0782938078045845, 'redshifts/nmad': 0.11248760670423508, 'redshifts/nmad_bin_0': 0.2110082060098648, 'redshifts/nmad_bin_1': 0.13532672822475433, 'redshifts/nmad_bin_2': 0.08767697960138321, 'redshifts/nmad_bin_3': 0.06990251690149307, 'redshifts/nmad_bin_4': 0.062274493277072906, 'redshifts/nmad_bin_5': 0.03476662561297417, 'redshifts/outlier_fraction': 0.3262377083301544, 'redshifts/outlier_fraction_bin_0': 0.48602190613746643, 'redshifts/outlier_fraction_bin_1': 0.3558558523654938, 'redshifts/outlier_fraction_bin_2': 0.25822871923446655, 'redshifts/outlier_fraction_bin_3': 0.1915544718503952, 'redshifts/outlier_fraction_bin_4': 0.18775933980941772, 'redshifts/outlier_fraction_bin_5': 0.09168406575918198, 'redshifts/outlier_fraction_cata': 0.08956357091665268, 'redshifts/outlier_fraction_cata_bin_0': 0.13298073410987854, 'redshifts/outlier_fraction_cata_bin_1': 0.10008446127176285, 'redshifts/outlier_fraction_cata_bin_2': 0.07567017525434494, 'redshifts/outlier_fraction_cata_bin_3': 0.06058751419186592, 'redshifts/outlier_fraction_cata_bin_4': 0.05394190922379494, 'redshifts/outlier_fraction_cata_bin_5': 0.017919275909662247}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 451/1563 [39:41<1:39:20, 5.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29046.])\n", + "total num of pts: tensor([10600., 7126., 2951., 1637., 966., 5766.])\n", + "{'redshifts/bias_abs': 0.07589719444513321, 'redshifts/bias_abs_bin_0': 0.14347749948501587, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004201077856123447, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0006787179736420512, 'redshifts/mse': 0.312738835811615, 'redshifts/mse_bin_0': 0.43845081329345703, 'redshifts/mse_bin_1': 0.36713656783103943, 'redshifts/mse_bin_2': 0.26897934079170227, 'redshifts/mse_bin_3': 0.22190150618553162, 'redshifts/mse_bin_4': 0.22003278136253357, 'redshifts/mse_bin_5': 0.0781237855553627, 'redshifts/nmad': 0.11250495165586472, 'redshifts/nmad_bin_0': 0.21108321845531464, 'redshifts/nmad_bin_1': 0.13530851900577545, 'redshifts/nmad_bin_2': 0.08769061416387558, 'redshifts/nmad_bin_3': 0.07029062509536743, 'redshifts/nmad_bin_4': 0.062270231544971466, 'redshifts/nmad_bin_5': 0.03483950346708298, 'redshifts/outlier_fraction': 0.3262067139148712, 'redshifts/outlier_fraction_bin_0': 0.48594340682029724, 'redshifts/outlier_fraction_bin_1': 0.35616055130958557, 'redshifts/outlier_fraction_bin_2': 0.25855642557144165, 'redshifts/outlier_fraction_bin_3': 0.19120341539382935, 'redshifts/outlier_fraction_bin_4': 0.18737059831619263, 'redshifts/outlier_fraction_bin_5': 0.09174471348524094, 'redshifts/outlier_fraction_cata': 0.0894787609577179, 'redshifts/outlier_fraction_cata_bin_0': 0.1330188661813736, 'redshifts/outlier_fraction_cata_bin_1': 0.09991580247879028, 'redshifts/outlier_fraction_cata_bin_2': 0.07556760311126709, 'redshifts/outlier_fraction_cata_bin_3': 0.060476481914520264, 'redshifts/outlier_fraction_cata_bin_4': 0.05383022874593735, 'redshifts/outlier_fraction_cata_bin_5': 0.017863336950540543}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 452/1563 [39:46<1:35:49, 5.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29089.])\n", + "total num of pts: tensor([10612., 7133., 2957., 1642., 968., 5777.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14347749948501587, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.0410253070294857, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004209383390843868, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006649708957411349, 'redshifts/mse': 0.31264767050743103, 'redshifts/mse_bin_0': 0.4382881820201874, 'redshifts/mse_bin_1': 0.36697787046432495, 'redshifts/mse_bin_2': 0.2693530023097992, 'redshifts/mse_bin_3': 0.22307875752449036, 'redshifts/mse_bin_4': 0.21957816183567047, 'redshifts/mse_bin_5': 0.07798581570386887, 'redshifts/nmad': 0.11251726746559143, 'redshifts/nmad_bin_0': 0.21101565659046173, 'redshifts/nmad_bin_1': 0.13544102013111115, 'redshifts/nmad_bin_2': 0.08781096339225769, 'redshifts/nmad_bin_3': 0.07030615210533142, 'redshifts/nmad_bin_4': 0.062182243913412094, 'redshifts/nmad_bin_5': 0.03478856384754181, 'redshifts/outlier_fraction': 0.3262057900428772, 'redshifts/outlier_fraction_bin_0': 0.4859592914581299, 'redshifts/outlier_fraction_bin_1': 0.35637179017066956, 'redshifts/outlier_fraction_bin_2': 0.2587081491947174, 'redshifts/outlier_fraction_bin_3': 0.19123020768165588, 'redshifts/outlier_fraction_bin_4': 0.18698346614837646, 'redshifts/outlier_fraction_bin_5': 0.0917431190609932, 'redshifts/outlier_fraction_cata': 0.08944962173700333, 'redshifts/outlier_fraction_cata_bin_0': 0.1329626888036728, 'redshifts/outlier_fraction_cata_bin_1': 0.09981774538755417, 'redshifts/outlier_fraction_cata_bin_2': 0.07575245201587677, 'redshifts/outlier_fraction_cata_bin_3': 0.06090134009718895, 'redshifts/outlier_fraction_cata_bin_4': 0.05371900647878647, 'redshifts/outlier_fraction_cata_bin_5': 0.017829323187470436}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 453/1563 [39:53<1:43:14, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29155.])\n", + "total num of pts: tensor([10635., 7152., 2962., 1648., 969., 5789.])\n", + "{'redshifts/bias_abs': 0.07592260837554932, 'redshifts/bias_abs_bin_0': 0.14347749948501587, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05886675417423248, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.0410253070294857, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.0042070746421813965, 'redshifts/bias_bin_0': 0.03042096272110939, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.31259146332740784, 'redshifts/mse_bin_0': 0.4385279715061188, 'redshifts/mse_bin_1': 0.3668277859687805, 'redshifts/mse_bin_2': 0.2689855098724365, 'redshifts/mse_bin_3': 0.22232012450695038, 'redshifts/mse_bin_4': 0.21935158967971802, 'redshifts/mse_bin_5': 0.07784453779459, 'redshifts/nmad': 0.11251714825630188, 'redshifts/nmad_bin_0': 0.21083056926727295, 'redshifts/nmad_bin_1': 0.1355777382850647, 'redshifts/nmad_bin_2': 0.08770067244768143, 'redshifts/nmad_bin_3': 0.07001347839832306, 'redshifts/nmad_bin_4': 0.062138549983501434, 'redshifts/nmad_bin_5': 0.034823160618543625, 'redshifts/outlier_fraction': 0.32622191309928894, 'redshifts/outlier_fraction_bin_0': 0.48594263195991516, 'redshifts/outlier_fraction_bin_1': 0.35682326555252075, 'redshifts/outlier_fraction_bin_2': 0.2586090564727783, 'redshifts/outlier_fraction_bin_3': 0.19053398072719574, 'redshifts/outlier_fraction_bin_4': 0.18679051101207733, 'redshifts/outlier_fraction_bin_5': 0.09155294299125671, 'redshifts/outlier_fraction_cata': 0.08945292234420776, 'redshifts/outlier_fraction_cata_bin_0': 0.13305124640464783, 'redshifts/outlier_fraction_cata_bin_1': 0.0998322144150734, 'redshifts/outlier_fraction_cata_bin_2': 0.07562457770109177, 'redshifts/outlier_fraction_cata_bin_3': 0.060679610818624496, 'redshifts/outlier_fraction_cata_bin_4': 0.05366357043385506, 'redshifts/outlier_fraction_cata_bin_5': 0.017792364582419395}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 454/1563 [39:58<1:39:25, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29225.])\n", + "total num of pts: tensor([10666., 7169., 2967., 1650., 972., 5801.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.1439315229654312, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.0410253070294857, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004209011793136597, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006682225503027439, 'redshifts/mse': 0.31272563338279724, 'redshifts/mse_bin_0': 0.43881431221961975, 'redshifts/mse_bin_1': 0.3671223521232605, 'redshifts/mse_bin_2': 0.2686915695667267, 'redshifts/mse_bin_3': 0.2220563143491745, 'redshifts/mse_bin_4': 0.21877314150333405, 'redshifts/mse_bin_5': 0.07772298157215118, 'redshifts/nmad': 0.11258701235055923, 'redshifts/nmad_bin_0': 0.2113836705684662, 'redshifts/nmad_bin_1': 0.13557802140712738, 'redshifts/nmad_bin_2': 0.08772443234920502, 'redshifts/nmad_bin_3': 0.06960984319448471, 'redshifts/nmad_bin_4': 0.062138549983501434, 'redshifts/nmad_bin_5': 0.03484327718615532, 'redshifts/outlier_fraction': 0.326398640871048, 'redshifts/outlier_fraction_bin_0': 0.486499160528183, 'redshifts/outlier_fraction_bin_1': 0.35653507709503174, 'redshifts/outlier_fraction_bin_2': 0.25884732604026794, 'redshifts/outlier_fraction_bin_3': 0.1903030276298523, 'redshifts/outlier_fraction_bin_4': 0.18621398508548737, 'redshifts/outlier_fraction_bin_5': 0.09153594076633453, 'redshifts/outlier_fraction_cata': 0.08954662084579468, 'redshifts/outlier_fraction_cata_bin_0': 0.13332083821296692, 'redshifts/outlier_fraction_cata_bin_1': 0.09987445920705795, 'redshifts/outlier_fraction_cata_bin_2': 0.07549713551998138, 'redshifts/outlier_fraction_cata_bin_3': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_4': 0.05349794402718544, 'redshifts/outlier_fraction_cata_bin_5': 0.017755558714270592}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 455/1563 [40:03<1:38:46, 5.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29293.])\n", + "total num of pts: tensor([10689., 7187., 2976., 1653., 977., 5811.])\n", + "{'redshifts/bias_abs': 0.07599033415317535, 'redshifts/bias_abs_bin_0': 0.14400236308574677, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.0042060911655426025, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.009980503469705582, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006682225503027439, 'redshifts/mse': 0.3126402795314789, 'redshifts/mse_bin_0': 0.4386216402053833, 'redshifts/mse_bin_1': 0.36722859740257263, 'redshifts/mse_bin_2': 0.26823681592941284, 'redshifts/mse_bin_3': 0.22172001004219055, 'redshifts/mse_bin_4': 0.21829423308372498, 'redshifts/mse_bin_5': 0.07785757631063461, 'redshifts/nmad': 0.1126743033528328, 'redshifts/nmad_bin_0': 0.21140646934509277, 'redshifts/nmad_bin_1': 0.13551630079746246, 'redshifts/nmad_bin_2': 0.08782101422548294, 'redshifts/nmad_bin_3': 0.07025539875030518, 'redshifts/nmad_bin_4': 0.062298424541950226, 'redshifts/nmad_bin_5': 0.03484387695789337, 'redshifts/outlier_fraction': 0.32652851939201355, 'redshifts/outlier_fraction_bin_0': 0.48666852712631226, 'redshifts/outlier_fraction_bin_1': 0.35675525665283203, 'redshifts/outlier_fraction_bin_2': 0.2584005296230316, 'redshifts/outlier_fraction_bin_3': 0.1899576485157013, 'redshifts/outlier_fraction_bin_4': 0.18833163380622864, 'redshifts/outlier_fraction_bin_5': 0.09155050665140152, 'redshifts/outlier_fraction_cata': 0.08950944244861603, 'redshifts/outlier_fraction_cata_bin_0': 0.1332210749387741, 'redshifts/outlier_fraction_cata_bin_1': 0.09990260004997253, 'redshifts/outlier_fraction_cata_bin_2': 0.07526881992816925, 'redshifts/outlier_fraction_cata_bin_3': 0.060496069490909576, 'redshifts/outlier_fraction_cata_bin_4': 0.05322415381669998, 'redshifts/outlier_fraction_cata_bin_5': 0.017897091805934906}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 456/1563 [40:08<1:40:10, 5.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29350.])\n", + "total num of pts: tensor([10709., 7203., 2984., 1655., 978., 5821.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14413806796073914, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.058877065777778625, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.00418081134557724, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.009980503469705582, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.3128572106361389, 'redshifts/mse_bin_0': 0.4390124976634979, 'redshifts/mse_bin_1': 0.36718952655792236, 'redshifts/mse_bin_2': 0.2685525715351105, 'redshifts/mse_bin_3': 0.22146545350551605, 'redshifts/mse_bin_4': 0.21807609498500824, 'redshifts/mse_bin_5': 0.07815702259540558, 'redshifts/nmad': 0.11280003190040588, 'redshifts/nmad_bin_0': 0.2115507423877716, 'redshifts/nmad_bin_1': 0.13563700020313263, 'redshifts/nmad_bin_2': 0.08781644701957703, 'redshifts/nmad_bin_3': 0.07043881714344025, 'redshifts/nmad_bin_4': 0.06221606582403183, 'redshifts/nmad_bin_5': 0.034861404448747635, 'redshifts/outlier_fraction': 0.3266780376434326, 'redshifts/outlier_fraction_bin_0': 0.4869735836982727, 'redshifts/outlier_fraction_bin_1': 0.3567957878112793, 'redshifts/outlier_fraction_bin_2': 0.2583780288696289, 'redshifts/outlier_fraction_bin_3': 0.18972809612751007, 'redshifts/outlier_fraction_bin_4': 0.18813906610012054, 'redshifts/outlier_fraction_bin_5': 0.0917368158698082, 'redshifts/outlier_fraction_cata': 0.0896422490477562, 'redshifts/outlier_fraction_cata_bin_0': 0.13343916833400726, 'redshifts/outlier_fraction_cata_bin_1': 0.09995835274457932, 'redshifts/outlier_fraction_cata_bin_2': 0.0754021480679512, 'redshifts/outlier_fraction_cata_bin_3': 0.06042296066880226, 'redshifts/outlier_fraction_cata_bin_4': 0.05316973477602005, 'redshifts/outlier_fraction_cata_bin_5': 0.018038136884570122}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 457/1563 [40:14<1:43:14, 5.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29405.])\n", + "total num of pts: tensor([10728., 7219., 2990., 1655., 979., 5834.])\n", + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05886675417423248, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.0042060911655426025, 'redshifts/bias_bin_0': 0.030562477186322212, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006682225503027439, 'redshifts/mse': 0.3128068447113037, 'redshifts/mse_bin_0': 0.439087450504303, 'redshifts/mse_bin_1': 0.36705121397972107, 'redshifts/mse_bin_2': 0.2684735357761383, 'redshifts/mse_bin_3': 0.22146545350551605, 'redshifts/mse_bin_4': 0.2178543508052826, 'redshifts/mse_bin_5': 0.0780387818813324, 'redshifts/nmad': 0.11278129369020462, 'redshifts/nmad_bin_0': 0.21153169870376587, 'redshifts/nmad_bin_1': 0.13564333319664001, 'redshifts/nmad_bin_2': 0.08752421289682388, 'redshifts/nmad_bin_3': 0.07043881714344025, 'redshifts/nmad_bin_4': 0.06221606582403183, 'redshifts/nmad_bin_5': 0.03489593043923378, 'redshifts/outlier_fraction': 0.32667914032936096, 'redshifts/outlier_fraction_bin_0': 0.48713645339012146, 'redshifts/outlier_fraction_bin_1': 0.35655906796455383, 'redshifts/outlier_fraction_bin_2': 0.2581939697265625, 'redshifts/outlier_fraction_bin_3': 0.18972809612751007, 'redshifts/outlier_fraction_bin_4': 0.1879468858242035, 'redshifts/outlier_fraction_bin_5': 0.09187521785497665, 'redshifts/outlier_fraction_cata': 0.08961061388254166, 'redshifts/outlier_fraction_cata_bin_0': 0.13338926434516907, 'redshifts/outlier_fraction_cata_bin_1': 0.09987533092498779, 'redshifts/outlier_fraction_cata_bin_2': 0.07558528333902359, 'redshifts/outlier_fraction_cata_bin_3': 0.06042296066880226, 'redshifts/outlier_fraction_cata_bin_4': 0.053115423768758774, 'redshifts/outlier_fraction_cata_bin_5': 0.017997942864894867}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 458/1563 [40:20<1:44:14, 5.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29451.])\n", + "total num of pts: tensor([10736., 7235., 2997., 1658., 981., 5844.])\n", + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004215889144688845, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.31318891048431396, 'redshifts/mse_bin_0': 0.43939635157585144, 'redshifts/mse_bin_1': 0.36771276593208313, 'redshifts/mse_bin_2': 0.2704331874847412, 'redshifts/mse_bin_3': 0.22118614614009857, 'redshifts/mse_bin_4': 0.2175341546535492, 'redshifts/mse_bin_5': 0.07791870087385178, 'redshifts/nmad': 0.11276677250862122, 'redshifts/nmad_bin_0': 0.21164345741271973, 'redshifts/nmad_bin_1': 0.13580262660980225, 'redshifts/nmad_bin_2': 0.0876874327659607, 'redshifts/nmad_bin_3': 0.07043881714344025, 'redshifts/nmad_bin_4': 0.062342118471860886, 'redshifts/nmad_bin_5': 0.03488524258136749, 'redshifts/outlier_fraction': 0.32684797048568726, 'redshifts/outlier_fraction_bin_0': 0.48723918199539185, 'redshifts/outlier_fraction_bin_1': 0.3570145070552826, 'redshifts/outlier_fraction_bin_2': 0.25892558693885803, 'redshifts/outlier_fraction_bin_3': 0.1899879425764084, 'redshifts/outlier_fraction_bin_4': 0.18858307600021362, 'redshifts/outlier_fraction_bin_5': 0.09171800315380096, 'redshifts/outlier_fraction_cata': 0.08970832824707031, 'redshifts/outlier_fraction_cata_bin_0': 0.1334761530160904, 'redshifts/outlier_fraction_cata_bin_1': 0.10006910562515259, 'redshifts/outlier_fraction_cata_bin_2': 0.07607607543468475, 'redshifts/outlier_fraction_cata_bin_3': 0.060313630849123, 'redshifts/outlier_fraction_cata_bin_4': 0.05300713703036308, 'redshifts/outlier_fraction_cata_bin_5': 0.017967145889997482}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 459/1563 [40:25<1:39:13, 5.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29494.])\n", + "total num of pts: tensor([10751., 7249., 2999., 1661., 983., 5851.])\n", + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.0042070746421813965, 'redshifts/bias_bin_0': 0.030562477186322212, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006787179736420512, 'redshifts/mse': 0.3132534921169281, 'redshifts/mse_bin_0': 0.439161092042923, 'redshifts/mse_bin_1': 0.3683345913887024, 'redshifts/mse_bin_2': 0.2707657217979431, 'redshifts/mse_bin_3': 0.22081811726093292, 'redshifts/mse_bin_4': 0.21713100373744965, 'redshifts/mse_bin_5': 0.07782993465662003, 'redshifts/nmad': 0.11277971416711807, 'redshifts/nmad_bin_0': 0.21149848401546478, 'redshifts/nmad_bin_1': 0.1357332319021225, 'redshifts/nmad_bin_2': 0.08782101422548294, 'redshifts/nmad_bin_3': 0.0704672709107399, 'redshifts/nmad_bin_4': 0.062342118471860886, 'redshifts/nmad_bin_5': 0.034880366176366806, 'redshifts/outlier_fraction': 0.3266427218914032, 'redshifts/outlier_fraction_bin_0': 0.4869314432144165, 'redshifts/outlier_fraction_bin_1': 0.3567388653755188, 'redshifts/outlier_fraction_bin_2': 0.25908637046813965, 'redshifts/outlier_fraction_bin_3': 0.18964479863643646, 'redshifts/outlier_fraction_bin_4': 0.18819938600063324, 'redshifts/outlier_fraction_bin_5': 0.09160827100276947, 'redshifts/outlier_fraction_cata': 0.08971316367387772, 'redshifts/outlier_fraction_cata_bin_0': 0.13338294625282288, 'redshifts/outlier_fraction_cata_bin_1': 0.10015174746513367, 'redshifts/outlier_fraction_cata_bin_2': 0.07635878771543503, 'redshifts/outlier_fraction_cata_bin_3': 0.06020469591021538, 'redshifts/outlier_fraction_cata_bin_4': 0.05289928615093231, 'redshifts/outlier_fraction_cata_bin_5': 0.017945650964975357}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 460/1563 [40:29<1:31:40, 4.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29566.])\n", + "total num of pts: tensor([10769., 7265., 3008., 1667., 988., 5869.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04096825793385506, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004171609878540039, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006787179736420512, 'redshifts/mse': 0.31316912174224854, 'redshifts/mse_bin_0': 0.4390362501144409, 'redshifts/mse_bin_1': 0.36878079175949097, 'redshifts/mse_bin_2': 0.2705065906047821, 'redshifts/mse_bin_3': 0.22153489291667938, 'redshifts/mse_bin_4': 0.21604052186012268, 'redshifts/mse_bin_5': 0.07762165367603302, 'redshifts/nmad': 0.11262933164834976, 'redshifts/nmad_bin_0': 0.21160347759723663, 'redshifts/nmad_bin_1': 0.13562597334384918, 'redshifts/nmad_bin_2': 0.08802466094493866, 'redshifts/nmad_bin_3': 0.07071596384048462, 'redshifts/nmad_bin_4': 0.061999741941690445, 'redshifts/nmad_bin_5': 0.034858837723731995, 'redshifts/outlier_fraction': 0.3265913426876068, 'redshifts/outlier_fraction_bin_0': 0.4871390163898468, 'redshifts/outlier_fraction_bin_1': 0.3566414415836334, 'redshifts/outlier_fraction_bin_2': 0.25964096188545227, 'redshifts/outlier_fraction_bin_3': 0.18956208229064941, 'redshifts/outlier_fraction_bin_4': 0.18724696338176727, 'redshifts/outlier_fraction_bin_5': 0.09149769693613052, 'redshifts/outlier_fraction_cata': 0.0896638035774231, 'redshifts/outlier_fraction_cata_bin_0': 0.13334570825099945, 'redshifts/outlier_fraction_cata_bin_1': 0.10020647197961807, 'redshifts/outlier_fraction_cata_bin_2': 0.07613031566143036, 'redshifts/outlier_fraction_cata_bin_3': 0.06058788299560547, 'redshifts/outlier_fraction_cata_bin_4': 0.05263157933950424, 'redshifts/outlier_fraction_cata_bin_5': 0.01789061166346073}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 29%|██▉ | 461/1563 [40:34<1:29:24, 4.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29626.])\n", + "total num of pts: tensor([10793., 7278., 3015., 1670., 990., 5880.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04096825793385506, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004154780879616737, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0007096827030181885, 'redshifts/mse': 0.3128832280635834, 'redshifts/mse_bin_0': 0.4386948347091675, 'redshifts/mse_bin_1': 0.3682839274406433, 'redshifts/mse_bin_2': 0.27049127221107483, 'redshifts/mse_bin_3': 0.22114190459251404, 'redshifts/mse_bin_4': 0.2157571166753769, 'redshifts/mse_bin_5': 0.07752487063407898, 'redshifts/nmad': 0.1126156821846962, 'redshifts/nmad_bin_0': 0.21133363246917725, 'redshifts/nmad_bin_1': 0.1355811059474945, 'redshifts/nmad_bin_2': 0.08799771964550018, 'redshifts/nmad_bin_3': 0.07030615210533142, 'redshifts/nmad_bin_4': 0.06205391138792038, 'redshifts/nmad_bin_5': 0.03490474820137024, 'redshifts/outlier_fraction': 0.32643625140190125, 'redshifts/outlier_fraction_bin_0': 0.4867970049381256, 'redshifts/outlier_fraction_bin_1': 0.3565540015697479, 'redshifts/outlier_fraction_bin_2': 0.259369820356369, 'redshifts/outlier_fraction_bin_3': 0.1892215609550476, 'redshifts/outlier_fraction_bin_4': 0.1878787875175476, 'redshifts/outlier_fraction_bin_5': 0.09149660170078278, 'redshifts/outlier_fraction_cata': 0.08958347141742706, 'redshifts/outlier_fraction_cata_bin_0': 0.13323450088500977, 'redshifts/outlier_fraction_cata_bin_1': 0.10002747923135757, 'redshifts/outlier_fraction_cata_bin_2': 0.07628524303436279, 'redshifts/outlier_fraction_cata_bin_3': 0.06047904118895531, 'redshifts/outlier_fraction_cata_bin_4': 0.05252525210380554, 'redshifts/outlier_fraction_cata_bin_5': 0.01785714365541935}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|██▉ | 462/1563 [40:38<1:25:42, 4.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29692.])\n", + "total num of pts: tensor([10823., 7294., 3026., 1673., 990., 5886.])\n", + "{'redshifts/bias_abs': 0.07600503414869308, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04096825793385506, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.030204283073544502, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.3130677342414856, 'redshifts/mse_bin_0': 0.4386575222015381, 'redshifts/mse_bin_1': 0.36857977509498596, 'redshifts/mse_bin_2': 0.27106478810310364, 'redshifts/mse_bin_3': 0.2211049497127533, 'redshifts/mse_bin_4': 0.2157571166753769, 'redshifts/mse_bin_5': 0.07744765281677246, 'redshifts/nmad': 0.11264695227146149, 'redshifts/nmad_bin_0': 0.21114975214004517, 'redshifts/nmad_bin_1': 0.13547265529632568, 'redshifts/nmad_bin_2': 0.08801331371068954, 'redshifts/nmad_bin_3': 0.07062754034996033, 'redshifts/nmad_bin_4': 0.06205391138792038, 'redshifts/nmad_bin_5': 0.034877173602581024, 'redshifts/outlier_fraction': 0.3264515697956085, 'redshifts/outlier_fraction_bin_0': 0.4866487979888916, 'redshifts/outlier_fraction_bin_1': 0.35645735263824463, 'redshifts/outlier_fraction_bin_2': 0.2594183683395386, 'redshifts/outlier_fraction_bin_3': 0.1894799768924713, 'redshifts/outlier_fraction_bin_4': 0.1878787875175476, 'redshifts/outlier_fraction_bin_5': 0.09140332788228989, 'redshifts/outlier_fraction_cata': 0.08975481241941452, 'redshifts/outlier_fraction_cata_bin_0': 0.1333271712064743, 'redshifts/outlier_fraction_cata_bin_1': 0.10049355775117874, 'redshifts/outlier_fraction_cata_bin_2': 0.07633840292692184, 'redshifts/outlier_fraction_cata_bin_3': 0.060370590537786484, 'redshifts/outlier_fraction_cata_bin_4': 0.05252525210380554, 'redshifts/outlier_fraction_cata_bin_5': 0.017838940024375916}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|██▉ | 463/1563 [40:42<1:19:52, 4.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29769.])\n", + "total num of pts: tensor([10844., 7317., 3036., 1675., 993., 5904.])\n", + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004182810895144939, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006787179736420512, 'redshifts/mse': 0.3130916357040405, 'redshifts/mse_bin_0': 0.4388640820980072, 'redshifts/mse_bin_1': 0.3688815236091614, 'redshifts/mse_bin_2': 0.27060121297836304, 'redshifts/mse_bin_3': 0.2208547443151474, 'redshifts/mse_bin_4': 0.215108260512352, 'redshifts/mse_bin_5': 0.07744008302688599, 'redshifts/nmad': 0.11257412284612656, 'redshifts/nmad_bin_0': 0.21127691864967346, 'redshifts/nmad_bin_1': 0.1353510469198227, 'redshifts/nmad_bin_2': 0.08783957362174988, 'redshifts/nmad_bin_3': 0.07061201333999634, 'redshifts/nmad_bin_4': 0.06187603995203972, 'redshifts/nmad_bin_5': 0.034880366176366806, 'redshifts/outlier_fraction': 0.32627901434898376, 'redshifts/outlier_fraction_bin_0': 0.4867207705974579, 'redshifts/outlier_fraction_bin_1': 0.3561568856239319, 'redshifts/outlier_fraction_bin_2': 0.2592226564884186, 'redshifts/outlier_fraction_bin_3': 0.18925373256206512, 'redshifts/outlier_fraction_bin_4': 0.18731117248535156, 'redshifts/outlier_fraction_bin_5': 0.09129403531551361, 'redshifts/outlier_fraction_cata': 0.08985857665538788, 'redshifts/outlier_fraction_cata_bin_0': 0.13353006541728973, 'redshifts/outlier_fraction_cata_bin_1': 0.10072433948516846, 'redshifts/outlier_fraction_cata_bin_2': 0.07608695328235626, 'redshifts/outlier_fraction_cata_bin_3': 0.060298506170511246, 'redshifts/outlier_fraction_cata_bin_4': 0.05236656591296196, 'redshifts/outlier_fraction_cata_bin_5': 0.01795393042266369}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|██▉ | 464/1563 [40:47<1:25:36, 4.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29831.])\n", + "total num of pts: tensor([10868., 7331., 3044., 1677., 998., 5913.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004166455008089542, 'redshifts/bias_bin_0': 0.030204283073544502, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.31269192695617676, 'redshifts/mse_bin_0': 0.43845292925834656, 'redshifts/mse_bin_1': 0.3683006763458252, 'redshifts/mse_bin_2': 0.26996058225631714, 'redshifts/mse_bin_3': 0.2206156849861145, 'redshifts/mse_bin_4': 0.21425826847553253, 'redshifts/mse_bin_5': 0.07732830941677094, 'redshifts/nmad': 0.1125916987657547, 'redshifts/nmad_bin_0': 0.21130189299583435, 'redshifts/nmad_bin_1': 0.13514742255210876, 'redshifts/nmad_bin_2': 0.08784234523773193, 'redshifts/nmad_bin_3': 0.0706084743142128, 'redshifts/nmad_bin_4': 0.061305928975343704, 'redshifts/nmad_bin_5': 0.034889791160821915, 'redshifts/outlier_fraction': 0.3262377977371216, 'redshifts/outlier_fraction_bin_0': 0.4869341254234314, 'redshifts/outlier_fraction_bin_1': 0.35588595271110535, 'redshifts/outlier_fraction_bin_2': 0.2588699162006378, 'redshifts/outlier_fraction_bin_3': 0.18902802467346191, 'redshifts/outlier_fraction_bin_4': 0.1873747557401657, 'redshifts/outlier_fraction_bin_5': 0.09115508198738098, 'redshifts/outlier_fraction_cata': 0.08970534056425095, 'redshifts/outlier_fraction_cata_bin_0': 0.1333272010087967, 'redshifts/outlier_fraction_cata_bin_1': 0.10053198784589767, 'redshifts/outlier_fraction_cata_bin_2': 0.07588698714971542, 'redshifts/outlier_fraction_cata_bin_3': 0.060226596891880035, 'redshifts/outlier_fraction_cata_bin_4': 0.05210420861840248, 'redshifts/outlier_fraction_cata_bin_5': 0.017926601693034172}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|██▉ | 465/1563 [40:52<1:26:56, 4.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29891.])\n", + "total num of pts: tensor([10892., 7342., 3051., 1679., 1002., 5925.])\n", + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.030204283073544502, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006992905400693417, 'redshifts/mse': 0.3130846619606018, 'redshifts/mse_bin_0': 0.4388057589530945, 'redshifts/mse_bin_1': 0.3683411180973053, 'redshifts/mse_bin_2': 0.272810161113739, 'redshifts/mse_bin_3': 0.220444917678833, 'redshifts/mse_bin_4': 0.2136726975440979, 'redshifts/mse_bin_5': 0.07730307430028915, 'redshifts/nmad': 0.11263483762741089, 'redshifts/nmad_bin_0': 0.2112439125776291, 'redshifts/nmad_bin_1': 0.13514406979084015, 'redshifts/nmad_bin_2': 0.08812082558870316, 'redshifts/nmad_bin_3': 0.07066937536001205, 'redshifts/nmad_bin_4': 0.061262235045433044, 'redshifts/nmad_bin_5': 0.03501511365175247, 'redshifts/outlier_fraction': 0.3263189494609833, 'redshifts/outlier_fraction_bin_0': 0.4869629144668579, 'redshifts/outlier_fraction_bin_1': 0.355625182390213, 'redshifts/outlier_fraction_bin_2': 0.25958701968193054, 'redshifts/outlier_fraction_bin_3': 0.18939845263957977, 'redshifts/outlier_fraction_bin_4': 0.1876247525215149, 'redshifts/outlier_fraction_bin_5': 0.09130802005529404, 'redshifts/outlier_fraction_cata': 0.089759461581707, 'redshifts/outlier_fraction_cata_bin_0': 0.13340066373348236, 'redshifts/outlier_fraction_cata_bin_1': 0.10051757097244263, 'redshifts/outlier_fraction_cata_bin_2': 0.07636840641498566, 'redshifts/outlier_fraction_cata_bin_3': 0.060154855251312256, 'redshifts/outlier_fraction_cata_bin_4': 0.05189620703458786, 'redshifts/outlier_fraction_cata_bin_5': 0.017890295013785362}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|██▉ | 466/1563 [40:58<1:35:26, 5.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([29959.])\n", + "total num of pts: tensor([10913., 7361., 3061., 1682., 1002., 5940.])\n", + "{'redshifts/bias_abs': 0.07600955665111542, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004166455008089542, 'redshifts/bias_bin_0': 0.030204283073544502, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.3127717673778534, 'redshifts/mse_bin_0': 0.43861284852027893, 'redshifts/mse_bin_1': 0.3678940534591675, 'redshifts/mse_bin_2': 0.2721017599105835, 'redshifts/mse_bin_3': 0.22018744051456451, 'redshifts/mse_bin_4': 0.2136726975440979, 'redshifts/mse_bin_5': 0.07715994119644165, 'redshifts/nmad': 0.11265626549720764, 'redshifts/nmad_bin_0': 0.21189001202583313, 'redshifts/nmad_bin_1': 0.13518455624580383, 'redshifts/nmad_bin_2': 0.08829803764820099, 'redshifts/nmad_bin_3': 0.07066937536001205, 'redshifts/nmad_bin_4': 0.061262235045433044, 'redshifts/nmad_bin_5': 0.03491362929344177, 'redshifts/outlier_fraction': 0.32627925276756287, 'redshifts/outlier_fraction_bin_0': 0.48730871081352234, 'redshifts/outlier_fraction_bin_1': 0.35511478781700134, 'redshifts/outlier_fraction_bin_2': 0.2590656578540802, 'redshifts/outlier_fraction_bin_3': 0.19024969637393951, 'redshifts/outlier_fraction_bin_4': 0.1876247525215149, 'redshifts/outlier_fraction_bin_5': 0.09124579280614853, 'redshifts/outlier_fraction_cata': 0.08965586125850677, 'redshifts/outlier_fraction_cata_bin_0': 0.13332723081111908, 'redshifts/outlier_fraction_cata_bin_1': 0.10039396584033966, 'redshifts/outlier_fraction_cata_bin_2': 0.07611891627311707, 'redshifts/outlier_fraction_cata_bin_3': 0.060047563165426254, 'redshifts/outlier_fraction_cata_bin_4': 0.05189620703458786, 'redshifts/outlier_fraction_cata_bin_5': 0.017845118418335915}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|██▉ | 467/1563 [41:03<1:31:41, 5.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30027.])\n", + "total num of pts: tensor([10938., 7378., 3068., 1686., 1003., 5954.])\n", + "{'redshifts/bias_abs': 0.07600503414869308, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004137605428695679, 'redshifts/bias_bin_0': 0.030100848525762558, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.31293681263923645, 'redshifts/mse_bin_0': 0.43856462836265564, 'redshifts/mse_bin_1': 0.36879071593284607, 'redshifts/mse_bin_2': 0.2723682224750519, 'redshifts/mse_bin_3': 0.2197631299495697, 'redshifts/mse_bin_4': 0.21346008777618408, 'redshifts/mse_bin_5': 0.07698336243629456, 'redshifts/nmad': 0.1126372218132019, 'redshifts/nmad_bin_0': 0.21125847101211548, 'redshifts/nmad_bin_1': 0.13528457283973694, 'redshifts/nmad_bin_2': 0.08799385279417038, 'redshifts/nmad_bin_3': 0.07066937536001205, 'redshifts/nmad_bin_4': 0.061262235045433044, 'redshifts/nmad_bin_5': 0.03490437567234039, 'redshifts/outlier_fraction': 0.32627302408218384, 'redshifts/outlier_fraction_bin_0': 0.48701775074005127, 'redshifts/outlier_fraction_bin_1': 0.3557874858379364, 'redshifts/outlier_fraction_bin_2': 0.25880053639411926, 'redshifts/outlier_fraction_bin_3': 0.19039146602153778, 'redshifts/outlier_fraction_bin_4': 0.18743768334388733, 'redshifts/outlier_fraction_bin_5': 0.09103123843669891, 'redshifts/outlier_fraction_cata': 0.0897192507982254, 'redshifts/outlier_fraction_cata_bin_0': 0.13329675793647766, 'redshifts/outlier_fraction_cata_bin_1': 0.10070479661226273, 'redshifts/outlier_fraction_cata_bin_2': 0.0762711837887764, 'redshifts/outlier_fraction_cata_bin_3': 0.059905100613832474, 'redshifts/outlier_fraction_cata_bin_4': 0.05184446647763252, 'redshifts/outlier_fraction_cata_bin_5': 0.01780315674841404}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|██▉ | 468/1563 [41:08<1:34:05, 5.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30083.])\n", + "total num of pts: tensor([10955., 7392., 3077., 1690., 1003., 5966.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14413806796073914, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004135464783757925, 'redshifts/bias_bin_0': 0.030100848525762558, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006992905400693417, 'redshifts/mse': 0.3127771317958832, 'redshifts/mse_bin_0': 0.4381180703639984, 'redshifts/mse_bin_1': 0.36831167340278625, 'redshifts/mse_bin_2': 0.2741880416870117, 'redshifts/mse_bin_3': 0.21933357417583466, 'redshifts/mse_bin_4': 0.21346008777618408, 'redshifts/mse_bin_5': 0.07688437402248383, 'redshifts/nmad': 0.11259245127439499, 'redshifts/nmad_bin_0': 0.2111998051404953, 'redshifts/nmad_bin_1': 0.1350434571504593, 'redshifts/nmad_bin_2': 0.08812601864337921, 'redshifts/nmad_bin_3': 0.0707634836435318, 'redshifts/nmad_bin_4': 0.061262235045433044, 'redshifts/nmad_bin_5': 0.0349263921380043, 'redshifts/outlier_fraction': 0.32613104581832886, 'redshifts/outlier_fraction_bin_0': 0.4868096709251404, 'redshifts/outlier_fraction_bin_1': 0.35551947355270386, 'redshifts/outlier_fraction_bin_2': 0.25869354605674744, 'redshifts/outlier_fraction_bin_3': 0.19053255021572113, 'redshifts/outlier_fraction_bin_4': 0.18743768334388733, 'redshifts/outlier_fraction_bin_5': 0.0911833718419075, 'redshifts/outlier_fraction_cata': 0.08961872011423111, 'redshifts/outlier_fraction_cata_bin_0': 0.13308991491794586, 'redshifts/outlier_fraction_cata_bin_1': 0.10051406919956207, 'redshifts/outlier_fraction_cata_bin_2': 0.07669807970523834, 'redshifts/outlier_fraction_cata_bin_3': 0.059763312339782715, 'redshifts/outlier_fraction_cata_bin_4': 0.05184446647763252, 'redshifts/outlier_fraction_cata_bin_5': 0.017767347395420074}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|███ | 469/1563 [41:23<2:27:10, 8.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30145.])\n", + "total num of pts: tensor([10976., 7412., 3084., 1695., 1005., 5973.])\n", + "{'redshifts/bias_abs': 0.07592260837554932, 'redshifts/bias_abs_bin_0': 0.14400236308574677, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004135464783757925, 'redshifts/bias_bin_0': 0.030004778876900673, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006992905400693417, 'redshifts/mse': 0.312494158744812, 'redshifts/mse_bin_0': 0.43767035007476807, 'redshifts/mse_bin_1': 0.36791831254959106, 'redshifts/mse_bin_2': 0.2738005518913269, 'redshifts/mse_bin_3': 0.21940936148166656, 'redshifts/mse_bin_4': 0.21303892135620117, 'redshifts/mse_bin_5': 0.07682294398546219, 'redshifts/nmad': 0.11255249381065369, 'redshifts/nmad_bin_0': 0.21116043627262115, 'redshifts/nmad_bin_1': 0.13499344885349274, 'redshifts/nmad_bin_2': 0.08799385279417038, 'redshifts/nmad_bin_3': 0.07148585468530655, 'redshifts/nmad_bin_4': 0.061082325875759125, 'redshifts/nmad_bin_5': 0.03507481887936592, 'redshifts/outlier_fraction': 0.3260573744773865, 'redshifts/outlier_fraction_bin_0': 0.4866071343421936, 'redshifts/outlier_fraction_bin_1': 0.35550457239151, 'redshifts/outlier_fraction_bin_2': 0.2584306001663208, 'redshifts/outlier_fraction_bin_3': 0.1905604749917984, 'redshifts/outlier_fraction_bin_4': 0.18706467747688293, 'redshifts/outlier_fraction_bin_5': 0.0912439301609993, 'redshifts/outlier_fraction_cata': 0.08956709504127502, 'redshifts/outlier_fraction_cata_bin_0': 0.13301749527454376, 'redshifts/outlier_fraction_cata_bin_1': 0.10037776827812195, 'redshifts/outlier_fraction_cata_bin_2': 0.07652399688959122, 'redshifts/outlier_fraction_cata_bin_3': 0.06017699092626572, 'redshifts/outlier_fraction_cata_bin_4': 0.05174129456281662, 'redshifts/outlier_fraction_cata_bin_5': 0.01774652674794197}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|███ | 470/1563 [41:27<2:06:40, 6.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30207.])\n", + "total num of pts: tensor([11000., 7426., 3087., 1698., 1009., 5987.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004135464783757925, 'redshifts/bias_bin_0': 0.030100848525762558, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.31265804171562195, 'redshifts/mse_bin_0': 0.4382660984992981, 'redshifts/mse_bin_1': 0.3680284023284912, 'redshifts/mse_bin_2': 0.273567259311676, 'redshifts/mse_bin_3': 0.21902364492416382, 'redshifts/mse_bin_4': 0.21244217455387115, 'redshifts/mse_bin_5': 0.0768011137843132, 'redshifts/nmad': 0.11256959289312363, 'redshifts/nmad_bin_0': 0.2111571878194809, 'redshifts/nmad_bin_1': 0.13503366708755493, 'redshifts/nmad_bin_2': 0.0881667509675026, 'redshifts/nmad_bin_3': 0.0707634836435318, 'redshifts/nmad_bin_4': 0.06082142889499664, 'redshifts/nmad_bin_5': 0.035075243562459946, 'redshifts/outlier_fraction': 0.32618266344070435, 'redshifts/outlier_fraction_bin_0': 0.48681819438934326, 'redshifts/outlier_fraction_bin_1': 0.35577699542045593, 'redshifts/outlier_fraction_bin_2': 0.25850340723991394, 'redshifts/outlier_fraction_bin_3': 0.1902237981557846, 'redshifts/outlier_fraction_bin_4': 0.18731416761875153, 'redshifts/outlier_fraction_bin_5': 0.09119759500026703, 'redshifts/outlier_fraction_cata': 0.08961498737335205, 'redshifts/outlier_fraction_cata_bin_0': 0.13318182528018951, 'redshifts/outlier_fraction_cata_bin_1': 0.10045784711837769, 'redshifts/outlier_fraction_cata_bin_2': 0.07644962519407272, 'redshifts/outlier_fraction_cata_bin_3': 0.060070671141147614, 'redshifts/outlier_fraction_cata_bin_4': 0.05153617262840271, 'redshifts/outlier_fraction_cata_bin_5': 0.017705027014017105}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|███ | 471/1563 [41:32<1:56:00, 6.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30271.])\n", + "total num of pts: tensor([11030., 7438., 3096., 1700., 1013., 5994.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004168228711932898, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.31297075748443604, 'redshifts/mse_bin_0': 0.43863990902900696, 'redshifts/mse_bin_1': 0.36794885993003845, 'redshifts/mse_bin_2': 0.27429836988449097, 'redshifts/mse_bin_3': 0.21933618187904358, 'redshifts/mse_bin_4': 0.21345360577106476, 'redshifts/mse_bin_5': 0.07684704661369324, 'redshifts/nmad': 0.11260607838630676, 'redshifts/nmad_bin_0': 0.21123695373535156, 'redshifts/nmad_bin_1': 0.13500255346298218, 'redshifts/nmad_bin_2': 0.08799385279417038, 'redshifts/nmad_bin_3': 0.0707634836435318, 'redshifts/nmad_bin_4': 0.061082325875759125, 'redshifts/nmad_bin_5': 0.03505626320838928, 'redshifts/outlier_fraction': 0.3263849914073944, 'redshifts/outlier_fraction_bin_0': 0.48685404658317566, 'redshifts/outlier_fraction_bin_1': 0.3557407855987549, 'redshifts/outlier_fraction_bin_2': 0.2583979368209839, 'redshifts/outlier_fraction_bin_3': 0.19058823585510254, 'redshifts/outlier_fraction_bin_4': 0.18953603506088257, 'redshifts/outlier_fraction_bin_5': 0.09142475575208664, 'redshifts/outlier_fraction_cata': 0.0896567702293396, 'redshifts/outlier_fraction_cata_bin_0': 0.13318222761154175, 'redshifts/outlier_fraction_cata_bin_1': 0.10043022036552429, 'redshifts/outlier_fraction_cata_bin_2': 0.07655038684606552, 'redshifts/outlier_fraction_cata_bin_3': 0.05999999865889549, 'redshifts/outlier_fraction_cata_bin_4': 0.05231984332203865, 'redshifts/outlier_fraction_cata_bin_5': 0.01768435165286064}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|███ | 472/1563 [41:37<1:44:47, 5.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30329.])\n", + "total num of pts: tensor([11053., 7451., 3102., 1705., 1015., 6003.])\n", + "{'redshifts/bias_abs': 0.07600955665111542, 'redshifts/bias_abs_bin_0': 0.14407546818256378, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004135986790060997, 'redshifts/bias_bin_0': 0.03015417791903019, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006787179736420512, 'redshifts/mse': 0.31321462988853455, 'redshifts/mse_bin_0': 0.43854305148124695, 'redshifts/mse_bin_1': 0.36804842948913574, 'redshifts/mse_bin_2': 0.2739524841308594, 'redshifts/mse_bin_3': 0.22063115239143372, 'redshifts/mse_bin_4': 0.21999621391296387, 'redshifts/mse_bin_5': 0.07674213498830795, 'redshifts/nmad': 0.11265388131141663, 'redshifts/nmad_bin_0': 0.21117940545082092, 'redshifts/nmad_bin_1': 0.13507366180419922, 'redshifts/nmad_bin_2': 0.08801331371068954, 'redshifts/nmad_bin_3': 0.07170051336288452, 'redshifts/nmad_bin_4': 0.061305928975343704, 'redshifts/nmad_bin_5': 0.0348958894610405, 'redshifts/outlier_fraction': 0.3265851140022278, 'redshifts/outlier_fraction_bin_0': 0.486745685338974, 'redshifts/outlier_fraction_bin_1': 0.35605958104133606, 'redshifts/outlier_fraction_bin_2': 0.25886523723602295, 'redshifts/outlier_fraction_bin_3': 0.19178885221481323, 'redshifts/outlier_fraction_bin_4': 0.19113300740718842, 'redshifts/outlier_fraction_bin_5': 0.09128768742084503, 'redshifts/outlier_fraction_cata': 0.08974908292293549, 'redshifts/outlier_fraction_cata_bin_0': 0.13308604061603546, 'redshifts/outlier_fraction_cata_bin_1': 0.1006576269865036, 'redshifts/outlier_fraction_cata_bin_2': 0.07640232145786285, 'redshifts/outlier_fraction_cata_bin_3': 0.06041055545210838, 'redshifts/outlier_fraction_cata_bin_4': 0.054187193512916565, 'redshifts/outlier_fraction_cata_bin_5': 0.01765783689916134}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|███ | 473/1563 [41:42<1:42:06, 5.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30391.])\n", + "total num of pts: tensor([11078., 7471., 3107., 1708., 1015., 6012.])\n", + "{'redshifts/bias_abs': 0.07602231949567795, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004171078559011221, 'redshifts/bias_bin_0': 0.030279358848929405, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006787179736420512, 'redshifts/mse': 0.31332671642303467, 'redshifts/mse_bin_0': 0.43896448612213135, 'redshifts/mse_bin_1': 0.3677334487438202, 'redshifts/mse_bin_2': 0.27354058623313904, 'redshifts/mse_bin_3': 0.22133159637451172, 'redshifts/mse_bin_4': 0.21999621391296387, 'redshifts/mse_bin_5': 0.07666660100221634, 'redshifts/nmad': 0.11271754652261734, 'redshifts/nmad_bin_0': 0.2113179713487625, 'redshifts/nmad_bin_1': 0.1351647526025772, 'redshifts/nmad_bin_2': 0.08799771964550018, 'redshifts/nmad_bin_3': 0.07148585468530655, 'redshifts/nmad_bin_4': 0.061305928975343704, 'redshifts/nmad_bin_5': 0.03504561260342598, 'redshifts/outlier_fraction': 0.32680729031562805, 'redshifts/outlier_fraction_bin_0': 0.48691099882125854, 'redshifts/outlier_fraction_bin_1': 0.35644492506980896, 'redshifts/outlier_fraction_bin_2': 0.25877052545547485, 'redshifts/outlier_fraction_bin_3': 0.19203747808933258, 'redshifts/outlier_fraction_bin_4': 0.19113300740718842, 'redshifts/outlier_fraction_bin_5': 0.09131736308336258, 'redshifts/outlier_fraction_cata': 0.08976341784000397, 'redshifts/outlier_fraction_cata_bin_0': 0.13305650651454926, 'redshifts/outlier_fraction_cata_bin_1': 0.10065586864948273, 'redshifts/outlier_fraction_cata_bin_2': 0.07627937197685242, 'redshifts/outlier_fraction_cata_bin_3': 0.06088992953300476, 'redshifts/outlier_fraction_cata_bin_4': 0.054187193512916565, 'redshifts/outlier_fraction_cata_bin_5': 0.017631404101848602}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|███ | 474/1563 [41:47<1:38:04, 5.40s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30445.])\n", + "total num of pts: tensor([11097., 7490., 3111., 1710., 1017., 6020.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.3132697641849518, 'redshifts/mse_bin_0': 0.43881309032440186, 'redshifts/mse_bin_1': 0.36779049038887024, 'redshifts/mse_bin_2': 0.27354294061660767, 'redshifts/mse_bin_3': 0.22107316553592682, 'redshifts/mse_bin_4': 0.21956457197666168, 'redshifts/mse_bin_5': 0.07656586915254593, 'redshifts/nmad': 0.11274205148220062, 'redshifts/nmad_bin_0': 0.21137088537216187, 'redshifts/nmad_bin_1': 0.13521210849285126, 'redshifts/nmad_bin_2': 0.08814672380685806, 'redshifts/nmad_bin_3': 0.07086052745580673, 'redshifts/nmad_bin_4': 0.061038631945848465, 'redshifts/nmad_bin_5': 0.03490437567234039, 'redshifts/outlier_fraction': 0.3269502520561218, 'redshifts/outlier_fraction_bin_0': 0.4870685636997223, 'redshifts/outlier_fraction_bin_1': 0.3566088080406189, 'redshifts/outlier_fraction_bin_2': 0.2594021260738373, 'redshifts/outlier_fraction_bin_3': 0.19181287288665771, 'redshifts/outlier_fraction_bin_4': 0.1907571256160736, 'redshifts/outlier_fraction_bin_5': 0.09119601547718048, 'redshifts/outlier_fraction_cata': 0.08970274031162262, 'redshifts/outlier_fraction_cata_bin_0': 0.1329188048839569, 'redshifts/outlier_fraction_cata_bin_1': 0.1006675586104393, 'redshifts/outlier_fraction_cata_bin_2': 0.07618129253387451, 'redshifts/outlier_fraction_cata_bin_3': 0.060818713158369064, 'redshifts/outlier_fraction_cata_bin_4': 0.05408062785863876, 'redshifts/outlier_fraction_cata_bin_5': 0.017607973888516426}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|███ | 475/1563 [41:51<1:29:03, 4.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30513.])\n", + "total num of pts: tensor([11122., 7500., 3121., 1713., 1019., 6038.])\n", + "{'redshifts/bias_abs': 0.07603517919778824, 'redshifts/bias_abs_bin_0': 0.14407546818256378, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.030289925634860992, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006787179736420512, 'redshifts/mse': 0.31327515840530396, 'redshifts/mse_bin_0': 0.4387371242046356, 'redshifts/mse_bin_1': 0.3677474856376648, 'redshifts/mse_bin_2': 0.2746759355068207, 'redshifts/mse_bin_3': 0.22073397040367126, 'redshifts/mse_bin_4': 0.2193981111049652, 'redshifts/mse_bin_5': 0.07656338065862656, 'redshifts/nmad': 0.11281747370958328, 'redshifts/nmad_bin_0': 0.2111276239156723, 'redshifts/nmad_bin_1': 0.13514406979084015, 'redshifts/nmad_bin_2': 0.08866387605667114, 'redshifts/nmad_bin_3': 0.07169697433710098, 'redshifts/nmad_bin_4': 0.061305928975343704, 'redshifts/nmad_bin_5': 0.034886639565229416, 'redshifts/outlier_fraction': 0.3269426226615906, 'redshifts/outlier_fraction_bin_0': 0.4867829382419586, 'redshifts/outlier_fraction_bin_1': 0.35653331875801086, 'redshifts/outlier_fraction_bin_2': 0.2601730227470398, 'redshifts/outlier_fraction_bin_3': 0.1914769411087036, 'redshifts/outlier_fraction_bin_4': 0.1913640797138214, 'redshifts/outlier_fraction_bin_5': 0.09158661961555481, 'redshifts/outlier_fraction_cata': 0.08973224461078644, 'redshifts/outlier_fraction_cata_bin_0': 0.13297967612743378, 'redshifts/outlier_fraction_cata_bin_1': 0.10066666454076767, 'redshifts/outlier_fraction_cata_bin_2': 0.07657802104949951, 'redshifts/outlier_fraction_cata_bin_3': 0.06071219965815544, 'redshifts/outlier_fraction_cata_bin_4': 0.05397448316216469, 'redshifts/outlier_fraction_cata_bin_5': 0.01755548268556595}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 30%|███ | 476/1563 [41:55<1:26:32, 4.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30569.])\n", + "total num of pts: tensor([11143., 7517., 3128., 1714., 1020., 6047.])\n", + "{'redshifts/bias_abs': 0.07613266259431839, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004168228711932898, 'redshifts/bias_bin_0': 0.03042096272110939, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.3138215243816376, 'redshifts/mse_bin_0': 0.43939608335494995, 'redshifts/mse_bin_1': 0.3681977689266205, 'redshifts/mse_bin_2': 0.27659517526626587, 'redshifts/mse_bin_3': 0.22060519456863403, 'redshifts/mse_bin_4': 0.21919940412044525, 'redshifts/mse_bin_5': 0.07646740972995758, 'redshifts/nmad': 0.11289039999246597, 'redshifts/nmad_bin_0': 0.21162313222885132, 'redshifts/nmad_bin_1': 0.13528989255428314, 'redshifts/nmad_bin_2': 0.08863693475723267, 'redshifts/nmad_bin_3': 0.07148231565952301, 'redshifts/nmad_bin_4': 0.061305928975343704, 'redshifts/nmad_bin_5': 0.034889791160821915, 'redshifts/outlier_fraction': 0.3272269368171692, 'redshifts/outlier_fraction_bin_0': 0.4873911738395691, 'redshifts/outlier_fraction_bin_1': 0.3566582500934601, 'redshifts/outlier_fraction_bin_2': 0.2602301836013794, 'redshifts/outlier_fraction_bin_3': 0.19136522710323334, 'redshifts/outlier_fraction_bin_4': 0.19117647409439087, 'redshifts/outlier_fraction_bin_5': 0.09161567687988281, 'redshifts/outlier_fraction_cata': 0.08986227959394455, 'redshifts/outlier_fraction_cata_bin_0': 0.13317778706550598, 'redshifts/outlier_fraction_cata_bin_1': 0.10083810240030289, 'redshifts/outlier_fraction_cata_bin_2': 0.07672633975744247, 'redshifts/outlier_fraction_cata_bin_3': 0.060676779597997665, 'redshifts/outlier_fraction_cata_bin_4': 0.053921569138765335, 'redshifts/outlier_fraction_cata_bin_5': 0.017529353499412537}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 477/1563 [42:01<1:29:50, 4.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30622.])\n", + "total num of pts: tensor([11168., 7530., 3135., 1715., 1023., 6051.])\n", + "{'redshifts/bias_abs': 0.07608582079410553, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.030562477186322212, 'redshifts/bias_bin_1': 0.009980503469705582, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007183867506682873, 'redshifts/bias_bin_5': -0.0006992905400693417, 'redshifts/mse': 0.3139355778694153, 'redshifts/mse_bin_0': 0.43944668769836426, 'redshifts/mse_bin_1': 0.36792537569999695, 'redshifts/mse_bin_2': 0.277798593044281, 'redshifts/mse_bin_3': 0.22048082947731018, 'redshifts/mse_bin_4': 0.21857008337974548, 'redshifts/mse_bin_5': 0.07643528282642365, 'redshifts/nmad': 0.11285936087369919, 'redshifts/nmad_bin_0': 0.21153169870376587, 'redshifts/nmad_bin_1': 0.13529059290885925, 'redshifts/nmad_bin_2': 0.08885660022497177, 'redshifts/nmad_bin_3': 0.07169697433710098, 'redshifts/nmad_bin_4': 0.061177387833595276, 'redshifts/nmad_bin_5': 0.034902554005384445, 'redshifts/outlier_fraction': 0.3272157311439514, 'redshifts/outlier_fraction_bin_0': 0.4871060252189636, 'redshifts/outlier_fraction_bin_1': 0.3565737009048462, 'redshifts/outlier_fraction_bin_2': 0.260606050491333, 'redshifts/outlier_fraction_bin_3': 0.1912536472082138, 'redshifts/outlier_fraction_bin_4': 0.19061583280563354, 'redshifts/outlier_fraction_bin_5': 0.09172037988901138, 'redshifts/outlier_fraction_cata': 0.08990268409252167, 'redshifts/outlier_fraction_cata_bin_0': 0.133237823843956, 'redshifts/outlier_fraction_cata_bin_1': 0.10079681128263474, 'redshifts/outlier_fraction_cata_bin_2': 0.07687400281429291, 'redshifts/outlier_fraction_cata_bin_3': 0.06064140051603317, 'redshifts/outlier_fraction_cata_bin_4': 0.05376344174146652, 'redshifts/outlier_fraction_cata_bin_5': 0.01751776598393917}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 478/1563 [42:05<1:27:19, 4.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30678.])\n", + "total num of pts: tensor([11196., 7542., 3141., 1716., 1023., 6060.])\n", + "{'redshifts/bias_abs': 0.07608582079410553, 'redshifts/bias_abs_bin_0': 0.14400236308574677, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.030545800924301147, 'redshifts/bias_bin_1': 0.010118684731423855, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007183867506682873, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.313871830701828, 'redshifts/mse_bin_0': 0.4388698935508728, 'redshifts/mse_bin_1': 0.36814165115356445, 'redshifts/mse_bin_2': 0.2784181237220764, 'redshifts/mse_bin_3': 0.22037625312805176, 'redshifts/mse_bin_4': 0.21857008337974548, 'redshifts/mse_bin_5': 0.0763348713517189, 'redshifts/nmad': 0.11286929994821548, 'redshifts/nmad_bin_0': 0.21129406988620758, 'redshifts/nmad_bin_1': 0.13521765172481537, 'redshifts/nmad_bin_2': 0.0889897570014, 'redshifts/nmad_bin_3': 0.07169697433710098, 'redshifts/nmad_bin_4': 0.061177387833595276, 'redshifts/nmad_bin_5': 0.03491362929344177, 'redshifts/outlier_fraction': 0.3272051513195038, 'redshifts/outlier_fraction_bin_0': 0.4867810010910034, 'redshifts/outlier_fraction_bin_1': 0.35653671622276306, 'redshifts/outlier_fraction_bin_2': 0.2610633671283722, 'redshifts/outlier_fraction_bin_3': 0.19114218652248383, 'redshifts/outlier_fraction_bin_4': 0.19061583280563354, 'redshifts/outlier_fraction_bin_5': 0.0917491763830185, 'redshifts/outlier_fraction_cata': 0.08993415534496307, 'redshifts/outlier_fraction_cata_bin_0': 0.13308323919773102, 'redshifts/outlier_fraction_cata_bin_1': 0.10090161859989166, 'redshifts/outlier_fraction_cata_bin_2': 0.07736389338970184, 'redshifts/outlier_fraction_cata_bin_3': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_4': 0.05376344174146652, 'redshifts/outlier_fraction_cata_bin_5': 0.017491748556494713}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 479/1563 [42:09<1:22:27, 4.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30734.])\n", + "total num of pts: tensor([11214., 7552., 3148., 1720., 1024., 6076.])\n", + "{'redshifts/bias_abs': 0.07610651105642319, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.04059246927499771, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0007094646571204066, 'redshifts/mse': 0.31372636556625366, 'redshifts/mse_bin_0': 0.43876761198043823, 'redshifts/mse_bin_1': 0.3678778409957886, 'redshifts/mse_bin_2': 0.27846789360046387, 'redshifts/mse_bin_3': 0.22128863632678986, 'redshifts/mse_bin_4': 0.21835952997207642, 'redshifts/mse_bin_5': 0.07615112513303757, 'redshifts/nmad': 0.11287567764520645, 'redshifts/nmad_bin_0': 0.21143364906311035, 'redshifts/nmad_bin_1': 0.13528166711330414, 'redshifts/nmad_bin_2': 0.08904221653938293, 'redshifts/nmad_bin_3': 0.07182203978300095, 'redshifts/nmad_bin_4': 0.061082325875759125, 'redshifts/nmad_bin_5': 0.0350455716252327, 'redshifts/outlier_fraction': 0.3271946310997009, 'redshifts/outlier_fraction_bin_0': 0.4869805574417114, 'redshifts/outlier_fraction_bin_1': 0.35646185278892517, 'redshifts/outlier_fraction_bin_2': 0.26111817359924316, 'redshifts/outlier_fraction_bin_3': 0.19186046719551086, 'redshifts/outlier_fraction_bin_4': 0.1904296875, 'redshifts/outlier_fraction_bin_5': 0.09150756895542145, 'redshifts/outlier_fraction_cata': 0.08986789733171463, 'redshifts/outlier_fraction_cata_bin_0': 0.1329587996006012, 'redshifts/outlier_fraction_cata_bin_1': 0.10076800733804703, 'redshifts/outlier_fraction_cata_bin_2': 0.07750952988862991, 'redshifts/outlier_fraction_cata_bin_3': 0.06104651093482971, 'redshifts/outlier_fraction_cata_bin_4': 0.0537109375, 'redshifts/outlier_fraction_cata_bin_5': 0.01744568720459938}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 480/1563 [42:13<1:18:32, 4.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30790.])\n", + "total num of pts: tensor([11239., 7566., 3152., 1721., 1025., 6087.])\n", + "{'redshifts/bias_abs': 0.07610651105642319, 'redshifts/bias_abs_bin_0': 0.14407546818256378, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004171078559011221, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0007094646571204066, 'redshifts/mse': 0.3140586316585541, 'redshifts/mse_bin_0': 0.43877363204956055, 'redshifts/mse_bin_1': 0.368695467710495, 'redshifts/mse_bin_2': 0.2781354784965515, 'redshifts/mse_bin_3': 0.22130832076072693, 'redshifts/mse_bin_4': 0.22295720875263214, 'redshifts/mse_bin_5': 0.07604213058948517, 'redshifts/nmad': 0.11288420110940933, 'redshifts/nmad_bin_0': 0.21138672530651093, 'redshifts/nmad_bin_1': 0.13537590205669403, 'redshifts/nmad_bin_2': 0.08904221653938293, 'redshifts/nmad_bin_3': 0.07185983657836914, 'redshifts/nmad_bin_4': 0.061262235045433044, 'redshifts/nmad_bin_5': 0.03513147681951523, 'redshifts/outlier_fraction': 0.3273140490055084, 'redshifts/outlier_fraction_bin_0': 0.48687607049942017, 'redshifts/outlier_fraction_bin_1': 0.35685962438583374, 'redshifts/outlier_fraction_bin_2': 0.2607868015766144, 'redshifts/outlier_fraction_bin_3': 0.19233004748821259, 'redshifts/outlier_fraction_bin_4': 0.1912195086479187, 'redshifts/outlier_fraction_bin_5': 0.0915064886212349, 'redshifts/outlier_fraction_cata': 0.08999675512313843, 'redshifts/outlier_fraction_cata_bin_0': 0.1329299807548523, 'redshifts/outlier_fraction_cata_bin_1': 0.10124240070581436, 'redshifts/outlier_fraction_cata_bin_2': 0.07741116732358932, 'redshifts/outlier_fraction_cata_bin_3': 0.06101103872060776, 'redshifts/outlier_fraction_cata_bin_4': 0.05463414639234543, 'redshifts/outlier_fraction_cata_bin_5': 0.017414161935448647}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 481/1563 [42:18<1:22:27, 4.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30849.])\n", + "total num of pts: tensor([11260., 7584., 3158., 1724., 1026., 6097.])\n", + "{'redshifts/bias_abs': 0.07613266259431839, 'redshifts/bias_abs_bin_0': 0.14399534463882446, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004182810895144939, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.010118684731423855, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006992905400693417, 'redshifts/mse': 0.3139312267303467, 'redshifts/mse_bin_0': 0.43855801224708557, 'redshifts/mse_bin_1': 0.36826348304748535, 'redshifts/mse_bin_2': 0.27877187728881836, 'redshifts/mse_bin_3': 0.22112715244293213, 'redshifts/mse_bin_4': 0.22306886315345764, 'redshifts/mse_bin_5': 0.07593141496181488, 'redshifts/nmad': 0.1129247173666954, 'redshifts/nmad_bin_0': 0.21132977306842804, 'redshifts/nmad_bin_1': 0.13525013625621796, 'redshifts/nmad_bin_2': 0.08907970786094666, 'redshifts/nmad_bin_3': 0.07185983657836914, 'redshifts/nmad_bin_4': 0.061262235045433044, 'redshifts/nmad_bin_5': 0.03501511365175247, 'redshifts/outlier_fraction': 0.32723912596702576, 'redshifts/outlier_fraction_bin_0': 0.4865896999835968, 'redshifts/outlier_fraction_bin_1': 0.35667192935943604, 'redshifts/outlier_fraction_bin_2': 0.26092463731765747, 'redshifts/outlier_fraction_bin_3': 0.19257541000843048, 'redshifts/outlier_fraction_bin_4': 0.19200779497623444, 'redshifts/outlier_fraction_bin_5': 0.09152042120695114, 'redshifts/outlier_fraction_cata': 0.08998671174049377, 'redshifts/outlier_fraction_cata_bin_0': 0.13294848799705505, 'redshifts/outlier_fraction_cata_bin_1': 0.10113396495580673, 'redshifts/outlier_fraction_cata_bin_2': 0.07758074998855591, 'redshifts/outlier_fraction_cata_bin_3': 0.06090487167239189, 'redshifts/outlier_fraction_cata_bin_4': 0.054580897092819214, 'redshifts/outlier_fraction_cata_bin_5': 0.01738560013473034}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 482/1563 [42:22<1:20:30, 4.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30914.])\n", + "total num of pts: tensor([11281., 7601., 3163., 1730., 1027., 6112.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.14400236308574677, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.030611226335167885, 'redshifts/bias_bin_1': 0.009980503469705582, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007183867506682873, 'redshifts/bias_bin_5': -0.0006992905400693417, 'redshifts/mse': 0.3136321008205414, 'redshifts/mse_bin_0': 0.43842917680740356, 'redshifts/mse_bin_1': 0.36778295040130615, 'redshifts/mse_bin_2': 0.278472900390625, 'redshifts/mse_bin_3': 0.22045281529426575, 'redshifts/mse_bin_4': 0.22285227477550507, 'redshifts/mse_bin_5': 0.07577551156282425, 'redshifts/nmad': 0.11292500793933868, 'redshifts/nmad_bin_0': 0.21142619848251343, 'redshifts/nmad_bin_1': 0.13532444834709167, 'redshifts/nmad_bin_2': 0.08914126455783844, 'redshifts/nmad_bin_3': 0.07182203978300095, 'redshifts/nmad_bin_4': 0.061177387833595276, 'redshifts/nmad_bin_5': 0.034902554005384445, 'redshifts/outlier_fraction': 0.3271009922027588, 'redshifts/outlier_fraction_bin_0': 0.4866589903831482, 'redshifts/outlier_fraction_bin_1': 0.35626891255378723, 'redshifts/outlier_fraction_bin_2': 0.2611444890499115, 'redshifts/outlier_fraction_bin_3': 0.19190751016139984, 'redshifts/outlier_fraction_bin_4': 0.19182083010673523, 'redshifts/outlier_fraction_bin_5': 0.09145942330360413, 'redshifts/outlier_fraction_cata': 0.08989454805850983, 'redshifts/outlier_fraction_cata_bin_0': 0.13296693563461304, 'redshifts/outlier_fraction_cata_bin_1': 0.10090777277946472, 'redshifts/outlier_fraction_cata_bin_2': 0.07745810598134995, 'redshifts/outlier_fraction_cata_bin_3': 0.060693640261888504, 'redshifts/outlier_fraction_cata_bin_4': 0.054527752101421356, 'redshifts/outlier_fraction_cata_bin_5': 0.017342932522296906}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 483/1563 [42:27<1:20:14, 4.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([30959.])\n", + "total num of pts: tensor([11301., 7612., 3168., 1733., 1027., 6118.])\n", + "{'redshifts/bias_abs': 0.07620159536600113, 'redshifts/bias_abs_bin_0': 0.14400236308574677, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004154780879616737, 'redshifts/bias_bin_0': 0.0303190890699625, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007183867506682873, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.3135296106338501, 'redshifts/mse_bin_0': 0.43810006976127625, 'redshifts/mse_bin_1': 0.3674260377883911, 'redshifts/mse_bin_2': 0.2791610062122345, 'redshifts/mse_bin_3': 0.22009976208209991, 'redshifts/mse_bin_4': 0.22285227477550507, 'redshifts/mse_bin_5': 0.07585497200489044, 'redshifts/nmad': 0.1130371168255806, 'redshifts/nmad_bin_0': 0.21117085218429565, 'redshifts/nmad_bin_1': 0.13537539541721344, 'redshifts/nmad_bin_2': 0.08914126455783844, 'redshifts/nmad_bin_3': 0.07185983657836914, 'redshifts/nmad_bin_4': 0.061177387833595276, 'redshifts/nmad_bin_5': 0.03491362929344177, 'redshifts/outlier_fraction': 0.32711005210876465, 'redshifts/outlier_fraction_bin_0': 0.4865941107273102, 'redshifts/outlier_fraction_bin_1': 0.3561481833457947, 'redshifts/outlier_fraction_bin_2': 0.26104798913002014, 'redshifts/outlier_fraction_bin_3': 0.1915753036737442, 'redshifts/outlier_fraction_bin_4': 0.19182083010673523, 'redshifts/outlier_fraction_bin_5': 0.09169663488864899, 'redshifts/outlier_fraction_cata': 0.08986078202724457, 'redshifts/outlier_fraction_cata_bin_0': 0.13290859758853912, 'redshifts/outlier_fraction_cata_bin_1': 0.10076195746660233, 'redshifts/outlier_fraction_cata_bin_2': 0.07765151560306549, 'redshifts/outlier_fraction_cata_bin_3': 0.06058857589960098, 'redshifts/outlier_fraction_cata_bin_4': 0.054527752101421356, 'redshifts/outlier_fraction_cata_bin_5': 0.01732592284679413}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 484/1563 [42:32<1:22:29, 4.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31002.])\n", + "total num of pts: tensor([11317., 7620., 3172., 1739., 1029., 6125.])\n", + "{'redshifts/bias_abs': 0.07616924494504929, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.0406198687851429, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004135986790060997, 'redshifts/bias_bin_0': 0.03052917681634426, 'redshifts/bias_bin_1': 0.009980503469705582, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007183867506682873, 'redshifts/bias_bin_5': -0.0007094646571204066, 'redshifts/mse': 0.31363439559936523, 'redshifts/mse_bin_0': 0.4389239549636841, 'redshifts/mse_bin_1': 0.36706072092056274, 'redshifts/mse_bin_2': 0.27885738015174866, 'redshifts/mse_bin_3': 0.21934911608695984, 'redshifts/mse_bin_4': 0.222453311085701, 'redshifts/mse_bin_5': 0.07577484101057053, 'redshifts/nmad': 0.11300301551818848, 'redshifts/nmad_bin_0': 0.21148231625556946, 'redshifts/nmad_bin_1': 0.13529059290885925, 'redshifts/nmad_bin_2': 0.08929457515478134, 'redshifts/nmad_bin_3': 0.07170051336288452, 'redshifts/nmad_bin_4': 0.061177387833595276, 'redshifts/nmad_bin_5': 0.034941475838422775, 'redshifts/outlier_fraction': 0.3270111680030823, 'redshifts/outlier_fraction_bin_0': 0.4867897927761078, 'redshifts/outlier_fraction_bin_1': 0.35577428340911865, 'redshifts/outlier_fraction_bin_2': 0.2610340416431427, 'redshifts/outlier_fraction_bin_3': 0.1909143179655075, 'redshifts/outlier_fraction_bin_4': 0.19144800305366516, 'redshifts/outlier_fraction_bin_5': 0.09159183502197266, 'redshifts/outlier_fraction_cata': 0.08986517041921616, 'redshifts/outlier_fraction_cata_bin_0': 0.13307413458824158, 'redshifts/outlier_fraction_cata_bin_1': 0.1006561666727066, 'redshifts/outlier_fraction_cata_bin_2': 0.07755359262228012, 'redshifts/outlier_fraction_cata_bin_3': 0.060379527509212494, 'redshifts/outlier_fraction_cata_bin_4': 0.054421767592430115, 'redshifts/outlier_fraction_cata_bin_5': 0.017306122928857803}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 485/1563 [42:36<1:23:03, 4.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31071.])\n", + "total num of pts: tensor([11342., 7635., 3179., 1741., 1031., 6143.])\n", + "{'redshifts/bias_abs': 0.07620159536600113, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.06028720736503601, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.04085639864206314, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004165236372500658, 'redshifts/bias_bin_0': 0.030701054260134697, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.31386324763298035, 'redshifts/mse_bin_0': 0.4391290247440338, 'redshifts/mse_bin_1': 0.36696451902389526, 'redshifts/mse_bin_2': 0.2798514664173126, 'redshifts/mse_bin_3': 0.21922148764133453, 'redshifts/mse_bin_4': 0.22709032893180847, 'redshifts/mse_bin_5': 0.07557350397109985, 'redshifts/nmad': 0.11304638534784317, 'redshifts/nmad_bin_0': 0.21152421832084656, 'redshifts/nmad_bin_1': 0.13537687063217163, 'redshifts/nmad_bin_2': 0.08948996663093567, 'redshifts/nmad_bin_3': 0.07170051336288452, 'redshifts/nmad_bin_4': 0.06133139505982399, 'redshifts/nmad_bin_5': 0.034881655126810074, 'redshifts/outlier_fraction': 0.327121764421463, 'redshifts/outlier_fraction_bin_0': 0.48695114254951477, 'redshifts/outlier_fraction_bin_1': 0.3558611571788788, 'redshifts/outlier_fraction_bin_2': 0.2617175281047821, 'redshifts/outlier_fraction_bin_3': 0.1912693828344345, 'redshifts/outlier_fraction_bin_4': 0.19204655289649963, 'redshifts/outlier_fraction_bin_5': 0.09132345765829086, 'redshifts/outlier_fraction_cata': 0.08995526283979416, 'redshifts/outlier_fraction_cata_bin_0': 0.13322165608406067, 'redshifts/outlier_fraction_cata_bin_1': 0.10058939456939697, 'redshifts/outlier_fraction_cata_bin_2': 0.07801195234060287, 'redshifts/outlier_fraction_cata_bin_3': 0.06031016632914543, 'redshifts/outlier_fraction_cata_bin_4': 0.05528613179922104, 'redshifts/outlier_fraction_cata_bin_5': 0.01725541241466999}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 486/1563 [42:41<1:24:20, 4.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31132.])\n", + "total num of pts: tensor([11364., 7648., 3187., 1742., 1033., 6158.])\n", + "{'redshifts/bias_abs': 0.07622567564249039, 'redshifts/bias_abs_bin_0': 0.14407546818256378, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.06028720736503601, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.31389132142066956, 'redshifts/mse_bin_0': 0.4390711784362793, 'redshifts/mse_bin_1': 0.3675462305545807, 'redshifts/mse_bin_2': 0.2792722284793854, 'redshifts/mse_bin_3': 0.2196727991104126, 'redshifts/mse_bin_4': 0.2267865389585495, 'redshifts/mse_bin_5': 0.07543167471885681, 'redshifts/nmad': 0.11305202543735504, 'redshifts/nmad_bin_0': 0.21124719083309174, 'redshifts/nmad_bin_1': 0.13537539541721344, 'redshifts/nmad_bin_2': 0.08952007442712784, 'redshifts/nmad_bin_3': 0.0718916654586792, 'redshifts/nmad_bin_4': 0.06191973388195038, 'redshifts/nmad_bin_5': 0.034861404448747635, 'redshifts/outlier_fraction': 0.32705897092819214, 'redshifts/outlier_fraction_bin_0': 0.48662441968917847, 'redshifts/outlier_fraction_bin_1': 0.3560408055782318, 'redshifts/outlier_fraction_bin_2': 0.26168811321258545, 'redshifts/outlier_fraction_bin_3': 0.19173364341259003, 'redshifts/outlier_fraction_bin_4': 0.19264279305934906, 'redshifts/outlier_fraction_bin_5': 0.09126339852809906, 'redshifts/outlier_fraction_cata': 0.08993960916996002, 'redshifts/outlier_fraction_cata_bin_0': 0.1331397444009781, 'redshifts/outlier_fraction_cata_bin_1': 0.1006799191236496, 'redshifts/outlier_fraction_cata_bin_2': 0.07781612873077393, 'redshifts/outlier_fraction_cata_bin_3': 0.06084959954023361, 'redshifts/outlier_fraction_cata_bin_4': 0.055179089307785034, 'redshifts/outlier_fraction_cata_bin_5': 0.017213381826877594}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 487/1563 [42:46<1:23:06, 4.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31190.])\n", + "total num of pts: tensor([11385., 7662., 3192., 1747., 1035., 6169.])\n", + "{'redshifts/bias_abs': 0.07626606523990631, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.06028720736503601, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004165236372500658, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.31366071105003357, 'redshifts/mse_bin_0': 0.4387429356575012, 'redshifts/mse_bin_1': 0.36751776933670044, 'redshifts/mse_bin_2': 0.27894482016563416, 'redshifts/mse_bin_3': 0.21910910308361053, 'redshifts/mse_bin_4': 0.2263849675655365, 'redshifts/mse_bin_5': 0.07531316578388214, 'redshifts/nmad': 0.11305760592222214, 'redshifts/nmad_bin_0': 0.21124719083309174, 'redshifts/nmad_bin_1': 0.135433167219162, 'redshifts/nmad_bin_2': 0.08965953439474106, 'redshifts/nmad_bin_3': 0.07189363241195679, 'redshifts/nmad_bin_4': 0.061999741941690445, 'redshifts/nmad_bin_5': 0.034861404448747635, 'redshifts/outlier_fraction': 0.32705995440483093, 'redshifts/outlier_fraction_bin_0': 0.486605167388916, 'redshifts/outlier_fraction_bin_1': 0.3561733365058899, 'redshifts/outlier_fraction_bin_2': 0.26159146428108215, 'redshifts/outlier_fraction_bin_3': 0.19232970476150513, 'redshifts/outlier_fraction_bin_4': 0.19227053225040436, 'redshifts/outlier_fraction_bin_5': 0.09110066294670105, 'redshifts/outlier_fraction_cata': 0.08986854553222656, 'redshifts/outlier_fraction_cata_bin_0': 0.13298200070858002, 'redshifts/outlier_fraction_cata_bin_1': 0.10075698047876358, 'redshifts/outlier_fraction_cata_bin_2': 0.07769423723220825, 'redshifts/outlier_fraction_cata_bin_3': 0.06067544221878052, 'redshifts/outlier_fraction_cata_bin_4': 0.05507246404886246, 'redshifts/outlier_fraction_cata_bin_5': 0.017182687297463417}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███ | 488/1563 [42:50<1:21:37, 4.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31259.])\n", + "total num of pts: tensor([11410., 7680., 3196., 1750., 1036., 6187.])\n", + "{'redshifts/bias_abs': 0.07630721479654312, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.06031863018870354, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004171078559011221, 'redshifts/bias_bin_0': 0.03063786029815674, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.31338322162628174, 'redshifts/mse_bin_0': 0.4382978081703186, 'redshifts/mse_bin_1': 0.36721470952033997, 'redshifts/mse_bin_2': 0.27870696783065796, 'redshifts/mse_bin_3': 0.21969348192214966, 'redshifts/mse_bin_4': 0.22678522765636444, 'redshifts/mse_bin_5': 0.07511243969202042, 'redshifts/nmad': 0.11307523399591446, 'redshifts/nmad_bin_0': 0.2112196981906891, 'redshifts/nmad_bin_1': 0.13551995158195496, 'redshifts/nmad_bin_2': 0.08965953439474106, 'redshifts/nmad_bin_3': 0.07189363241195679, 'redshifts/nmad_bin_4': 0.061999741941690445, 'redshifts/nmad_bin_5': 0.03484879061579704, 'redshifts/outlier_fraction': 0.3270418047904968, 'redshifts/outlier_fraction_bin_0': 0.4866783618927002, 'redshifts/outlier_fraction_bin_1': 0.3561197817325592, 'redshifts/outlier_fraction_bin_2': 0.26157698035240173, 'redshifts/outlier_fraction_bin_3': 0.19257143139839172, 'redshifts/outlier_fraction_bin_4': 0.19305019080638885, 'redshifts/outlier_fraction_bin_5': 0.09083562344312668, 'redshifts/outlier_fraction_cata': 0.08979813754558563, 'redshifts/outlier_fraction_cata_bin_0': 0.13277827203273773, 'redshifts/outlier_fraction_cata_bin_1': 0.10078124701976776, 'redshifts/outlier_fraction_cata_bin_2': 0.0775969997048378, 'redshifts/outlier_fraction_cata_bin_3': 0.06114285811781883, 'redshifts/outlier_fraction_cata_bin_4': 0.055019304156303406, 'redshifts/outlier_fraction_cata_bin_5': 0.017132697626948357}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███▏ | 489/1563 [42:54<1:20:47, 4.51s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31314.])\n", + "total num of pts: tensor([11430., 7690., 3204., 1754., 1040., 6196.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14413806796073914, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.06041673198342323, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004168677143752575, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.010118684731423855, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0006906827911734581, 'redshifts/mse': 0.3133114278316498, 'redshifts/mse_bin_0': 0.4383946359157562, 'redshifts/mse_bin_1': 0.36686891317367554, 'redshifts/mse_bin_2': 0.27911412715911865, 'redshifts/mse_bin_3': 0.21930323541164398, 'redshifts/mse_bin_4': 0.2259354442358017, 'redshifts/mse_bin_5': 0.07506020367145538, 'redshifts/nmad': 0.11310265213251114, 'redshifts/nmad_bin_0': 0.2111445516347885, 'redshifts/nmad_bin_1': 0.135397806763649, 'redshifts/nmad_bin_2': 0.0897098109126091, 'redshifts/nmad_bin_3': 0.07184110581874847, 'redshifts/nmad_bin_4': 0.06181761249899864, 'redshifts/nmad_bin_5': 0.03479477018117905, 'redshifts/outlier_fraction': 0.3270741403102875, 'redshifts/outlier_fraction_bin_0': 0.48678913712501526, 'redshifts/outlier_fraction_bin_1': 0.3559167683124542, 'redshifts/outlier_fraction_bin_2': 0.26217228174209595, 'redshifts/outlier_fraction_bin_3': 0.19270239770412445, 'redshifts/outlier_fraction_bin_4': 0.19230769574642181, 'redshifts/outlier_fraction_bin_5': 0.09086507558822632, 'redshifts/outlier_fraction_cata': 0.08980008959770203, 'redshifts/outlier_fraction_cata_bin_0': 0.13289588689804077, 'redshifts/outlier_fraction_cata_bin_1': 0.10065019875764847, 'redshifts/outlier_fraction_cata_bin_2': 0.07771535217761993, 'redshifts/outlier_fraction_cata_bin_3': 0.0610034205019474, 'redshifts/outlier_fraction_cata_bin_4': 0.054807692766189575, 'redshifts/outlier_fraction_cata_bin_5': 0.017107810825109482}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███▏ | 490/1563 [42:58<1:17:18, 4.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31364.])\n", + "total num of pts: tensor([11451., 7700., 3209., 1756., 1044., 6204.])\n", + "{'redshifts/bias_abs': 0.07631302624940872, 'redshifts/bias_abs_bin_0': 0.14407546818256378, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.06041673198342323, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.030701054260134697, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0006787179736420512, 'redshifts/mse': 0.3131711781024933, 'redshifts/mse_bin_0': 0.4383349120616913, 'redshifts/mse_bin_1': 0.3665953576564789, 'redshifts/mse_bin_2': 0.27888575196266174, 'redshifts/mse_bin_3': 0.21918173134326935, 'redshifts/mse_bin_4': 0.22529803216457367, 'redshifts/mse_bin_5': 0.07497253268957138, 'redshifts/nmad': 0.11306490749120712, 'redshifts/nmad_bin_0': 0.21121858060359955, 'redshifts/nmad_bin_1': 0.135293647646904, 'redshifts/nmad_bin_2': 0.08976275473833084, 'redshifts/nmad_bin_3': 0.07187890261411667, 'redshifts/nmad_bin_4': 0.06182187423110008, 'redshifts/nmad_bin_5': 0.03487205132842064, 'redshifts/outlier_fraction': 0.3269672095775604, 'redshifts/outlier_fraction_bin_0': 0.4865950644016266, 'redshifts/outlier_fraction_bin_1': 0.3557142913341522, 'redshifts/outlier_fraction_bin_2': 0.26207542419433594, 'redshifts/outlier_fraction_bin_3': 0.19305239617824554, 'redshifts/outlier_fraction_bin_4': 0.19252873957157135, 'redshifts/outlier_fraction_bin_5': 0.0907479077577591, 'redshifts/outlier_fraction_cata': 0.08975258469581604, 'redshifts/outlier_fraction_cata_bin_0': 0.1328268200159073, 'redshifts/outlier_fraction_cata_bin_1': 0.10064934939146042, 'redshifts/outlier_fraction_cata_bin_2': 0.07759426534175873, 'redshifts/outlier_fraction_cata_bin_3': 0.06093394011259079, 'redshifts/outlier_fraction_cata_bin_4': 0.054597701877355576, 'redshifts/outlier_fraction_cata_bin_5': 0.01708575151860714}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███▏ | 491/1563 [43:04<1:22:18, 4.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31435.])\n", + "total num of pts: tensor([11476., 7718., 3213., 1760., 1047., 6221.])\n", + "{'redshifts/bias_abs': 0.07635871320962906, 'redshifts/bias_abs_bin_0': 0.14407546818256378, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.06041673198342323, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.030701054260134697, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.31289002299308777, 'redshifts/mse_bin_0': 0.4380473792552948, 'redshifts/mse_bin_1': 0.3663148880004883, 'redshifts/mse_bin_2': 0.27856552600860596, 'redshifts/mse_bin_3': 0.2191084325313568, 'redshifts/mse_bin_4': 0.2247874140739441, 'redshifts/mse_bin_5': 0.07482054084539413, 'redshifts/nmad': 0.11311569064855576, 'redshifts/nmad_bin_0': 0.21121858060359955, 'redshifts/nmad_bin_1': 0.13557802140712738, 'redshifts/nmad_bin_2': 0.08976275473833084, 'redshifts/nmad_bin_3': 0.07212060689926147, 'redshifts/nmad_bin_4': 0.06182187423110008, 'redshifts/nmad_bin_5': 0.034910041838884354, 'redshifts/outlier_fraction': 0.3269922137260437, 'redshifts/outlier_fraction_bin_0': 0.48666784167289734, 'redshifts/outlier_fraction_bin_1': 0.355662077665329, 'redshifts/outlier_fraction_bin_2': 0.26174914836883545, 'redshifts/outlier_fraction_bin_3': 0.19374999403953552, 'redshifts/outlier_fraction_bin_4': 0.19293218851089478, 'redshifts/outlier_fraction_bin_5': 0.09082140773534775, 'redshifts/outlier_fraction_cata': 0.08961348980665207, 'redshifts/outlier_fraction_cata_bin_0': 0.1327117532491684, 'redshifts/outlier_fraction_cata_bin_1': 0.10041461884975433, 'redshifts/outlier_fraction_cata_bin_2': 0.07749766856431961, 'redshifts/outlier_fraction_cata_bin_3': 0.06079545617103577, 'redshifts/outlier_fraction_cata_bin_4': 0.054441262036561966, 'redshifts/outlier_fraction_cata_bin_5': 0.017039060592651367}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 31%|███▏ | 492/1563 [43:09<1:25:10, 4.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31490.])\n", + "total num of pts: tensor([11494., 7732., 3219., 1762., 1049., 6234.])\n", + "{'redshifts/bias_abs': 0.07638644427061081, 'redshifts/bias_abs_bin_0': 0.1441236287355423, 'redshifts/bias_abs_bin_1': 0.0917046070098877, 'redshifts/bias_abs_bin_2': 0.06041673198342323, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.00418081134557724, 'redshifts/bias_bin_0': 0.030832860618829727, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006682225503027439, 'redshifts/mse': 0.3127290904521942, 'redshifts/mse_bin_0': 0.43805328011512756, 'redshifts/mse_bin_1': 0.3659623861312866, 'redshifts/mse_bin_2': 0.27853715419769287, 'redshifts/mse_bin_3': 0.21886223554611206, 'redshifts/mse_bin_4': 0.22439296543598175, 'redshifts/mse_bin_5': 0.07469078153371811, 'redshifts/nmad': 0.11311455070972443, 'redshifts/nmad_bin_0': 0.21141837537288666, 'redshifts/nmad_bin_1': 0.1355811059474945, 'redshifts/nmad_bin_2': 0.08976275473833084, 'redshifts/nmad_bin_3': 0.07207202911376953, 'redshifts/nmad_bin_4': 0.06187603995203972, 'redshifts/nmad_bin_5': 0.03487107902765274, 'redshifts/outlier_fraction': 0.3269926905632019, 'redshifts/outlier_fraction_bin_0': 0.4867756962776184, 'redshifts/outlier_fraction_bin_1': 0.35553544759750366, 'redshifts/outlier_fraction_bin_2': 0.2621932327747345, 'redshifts/outlier_fraction_bin_3': 0.19353008270263672, 'redshifts/outlier_fraction_bin_4': 0.19256435334682465, 'redshifts/outlier_fraction_bin_5': 0.09079242497682571, 'redshifts/outlier_fraction_cata': 0.08961574733257294, 'redshifts/outlier_fraction_cata_bin_0': 0.13276492059230804, 'redshifts/outlier_fraction_cata_bin_1': 0.100362129509449, 'redshifts/outlier_fraction_cata_bin_2': 0.07766386866569519, 'redshifts/outlier_fraction_cata_bin_3': 0.06072644889354706, 'redshifts/outlier_fraction_cata_bin_4': 0.05433746427297592, 'redshifts/outlier_fraction_cata_bin_5': 0.017003528773784637}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 493/1563 [43:14<1:27:52, 4.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31545.])\n", + "total num of pts: tensor([11516., 7748., 3224., 1764., 1050., 6243.])\n", + "{'redshifts/bias_abs': 0.07648701220750809, 'redshifts/bias_abs_bin_0': 0.14415313303470612, 'redshifts/bias_abs_bin_1': 0.0917046070098877, 'redshifts/bias_abs_bin_2': 0.060397181659936905, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004182810895144939, 'redshifts/bias_bin_0': 0.030872173607349396, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006715357303619385, 'redshifts/mse': 0.312751829624176, 'redshifts/mse_bin_0': 0.4381454288959503, 'redshifts/mse_bin_1': 0.36581653356552124, 'redshifts/mse_bin_2': 0.2783271074295044, 'redshifts/mse_bin_3': 0.21924589574337006, 'redshifts/mse_bin_4': 0.22429636120796204, 'redshifts/mse_bin_5': 0.07467006891965866, 'redshifts/nmad': 0.11319565027952194, 'redshifts/nmad_bin_0': 0.2116422802209854, 'redshifts/nmad_bin_1': 0.13547945022583008, 'redshifts/nmad_bin_2': 0.08978865295648575, 'redshifts/nmad_bin_3': 0.07207202911376953, 'redshifts/nmad_bin_4': 0.06187603995203972, 'redshifts/nmad_bin_5': 0.03489101678133011, 'redshifts/outlier_fraction': 0.32711997628211975, 'redshifts/outlier_fraction_bin_0': 0.4868878126144409, 'redshifts/outlier_fraction_bin_1': 0.35531750321388245, 'redshifts/outlier_fraction_bin_2': 0.26240694522857666, 'redshifts/outlier_fraction_bin_3': 0.19387754797935486, 'redshifts/outlier_fraction_bin_4': 0.19333332777023315, 'redshifts/outlier_fraction_bin_5': 0.09098190069198608, 'redshifts/outlier_fraction_cata': 0.0896180048584938, 'redshifts/outlier_fraction_cata_bin_0': 0.13268496096134186, 'redshifts/outlier_fraction_cata_bin_1': 0.1004130095243454, 'redshifts/outlier_fraction_cata_bin_2': 0.07754342257976532, 'redshifts/outlier_fraction_cata_bin_3': 0.06122449040412903, 'redshifts/outlier_fraction_cata_bin_4': 0.05428571254014969, 'redshifts/outlier_fraction_cata_bin_5': 0.016979016363620758}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 494/1563 [43:20<1:33:38, 5.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31603.])\n", + "total num of pts: tensor([11541., 7758., 3230., 1768., 1051., 6255.])\n", + "{'redshifts/bias_abs': 0.07642081379890442, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.06028720736503601, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04090725630521774, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004182810895144939, 'redshifts/bias_bin_0': 0.030691716820001602, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0006579325417988002, 'redshifts/mse': 0.31270477175712585, 'redshifts/mse_bin_0': 0.43835172057151794, 'redshifts/mse_bin_1': 0.36561354994773865, 'redshifts/mse_bin_2': 0.2778485417366028, 'redshifts/mse_bin_3': 0.21933047473430634, 'redshifts/mse_bin_4': 0.22408494353294373, 'redshifts/mse_bin_5': 0.07453993707895279, 'redshifts/nmad': 0.11316854506731033, 'redshifts/nmad_bin_0': 0.21190983057022095, 'redshifts/nmad_bin_1': 0.13539591431617737, 'redshifts/nmad_bin_2': 0.0896538496017456, 'redshifts/nmad_bin_3': 0.07207004725933075, 'redshifts/nmad_bin_4': 0.06187603995203972, 'redshifts/nmad_bin_5': 0.03491118550300598, 'redshifts/outlier_fraction': 0.3271524906158447, 'redshifts/outlier_fraction_bin_0': 0.48713281750679016, 'redshifts/outlier_fraction_bin_1': 0.3551172912120819, 'redshifts/outlier_fraction_bin_2': 0.2622291147708893, 'redshifts/outlier_fraction_bin_3': 0.19400452077388763, 'redshifts/outlier_fraction_bin_4': 0.1931493878364563, 'redshifts/outlier_fraction_bin_5': 0.09096722304821014, 'redshifts/outlier_fraction_cata': 0.08961174637079239, 'redshifts/outlier_fraction_cata_bin_0': 0.1326574832201004, 'redshifts/outlier_fraction_cata_bin_1': 0.10041248053312302, 'redshifts/outlier_fraction_cata_bin_2': 0.07739938050508499, 'redshifts/outlier_fraction_cata_bin_3': 0.06165158376097679, 'redshifts/outlier_fraction_cata_bin_4': 0.054234061390161514, 'redshifts/outlier_fraction_cata_bin_5': 0.016946442425251007}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 495/1563 [43:24<1:25:36, 4.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31664.])\n", + "total num of pts: tensor([11562., 7775., 3236., 1771., 1053., 6267.])\n", + "{'redshifts/bias_abs': 0.07641751319169998, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.060062289237976074, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.0303190890699625, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0006456648115999997, 'redshifts/mse': 0.31259164214134216, 'redshifts/mse_bin_0': 0.437983900308609, 'redshifts/mse_bin_1': 0.3655797243118286, 'redshifts/mse_bin_2': 0.27756407856941223, 'redshifts/mse_bin_3': 0.21946023404598236, 'redshifts/mse_bin_4': 0.2262287437915802, 'redshifts/mse_bin_5': 0.07443688064813614, 'redshifts/nmad': 0.11313199251890182, 'redshifts/nmad_bin_0': 0.2117895632982254, 'redshifts/nmad_bin_1': 0.13538828492164612, 'redshifts/nmad_bin_2': 0.089384526014328, 'redshifts/nmad_bin_3': 0.07194386422634125, 'redshifts/nmad_bin_4': 0.06205391138792038, 'redshifts/nmad_bin_5': 0.03492937237024307, 'redshifts/outlier_fraction': 0.3272170424461365, 'redshifts/outlier_fraction_bin_0': 0.48719945549964905, 'redshifts/outlier_fraction_bin_1': 0.35524114966392517, 'redshifts/outlier_fraction_bin_2': 0.26205191016197205, 'redshifts/outlier_fraction_bin_3': 0.194240540266037, 'redshifts/outlier_fraction_bin_4': 0.19373218715190887, 'redshifts/outlier_fraction_bin_5': 0.09095261245965958, 'redshifts/outlier_fraction_cata': 0.08956543356180191, 'redshifts/outlier_fraction_cata_bin_0': 0.13258951902389526, 'redshifts/outlier_fraction_cata_bin_1': 0.10032154619693756, 'redshifts/outlier_fraction_cata_bin_2': 0.07725587487220764, 'redshifts/outlier_fraction_cata_bin_3': 0.06154714897274971, 'redshifts/outlier_fraction_cata_bin_4': 0.05508072301745415, 'redshifts/outlier_fraction_cata_bin_5': 0.016913993284106255}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 496/1563 [43:28<1:23:46, 4.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31719.])\n", + "total num of pts: tensor([11582., 7786., 3245., 1775., 1054., 6277.])\n", + "{'redshifts/bias_abs': 0.07640169560909271, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.060062289237976074, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004135464783757925, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.003073889994993806, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0006529901875182986, 'redshifts/mse': 0.3123658299446106, 'redshifts/mse_bin_0': 0.4377439022064209, 'redshifts/mse_bin_1': 0.36512231826782227, 'redshifts/mse_bin_2': 0.27760234475135803, 'redshifts/mse_bin_3': 0.21899662911891937, 'redshifts/mse_bin_4': 0.2260439097881317, 'redshifts/mse_bin_5': 0.07445872575044632, 'redshifts/nmad': 0.11312546581029892, 'redshifts/nmad_bin_0': 0.21173450350761414, 'redshifts/nmad_bin_1': 0.13521210849285126, 'redshifts/nmad_bin_2': 0.08938869088888168, 'redshifts/nmad_bin_3': 0.07212060689926147, 'redshifts/nmad_bin_4': 0.06205816939473152, 'redshifts/nmad_bin_5': 0.03487764671444893, 'redshifts/outlier_fraction': 0.3271540701389313, 'redshifts/outlier_fraction_bin_0': 0.4871352016925812, 'redshifts/outlier_fraction_bin_1': 0.3549961447715759, 'redshifts/outlier_fraction_bin_2': 0.262249618768692, 'redshifts/outlier_fraction_bin_3': 0.1938028186559677, 'redshifts/outlier_fraction_bin_4': 0.19354838132858276, 'redshifts/outlier_fraction_bin_5': 0.09112633764743805, 'redshifts/outlier_fraction_cata': 0.08953624218702316, 'redshifts/outlier_fraction_cata_bin_0': 0.13261957466602325, 'redshifts/outlier_fraction_cata_bin_1': 0.10017980635166168, 'redshifts/outlier_fraction_cata_bin_2': 0.07734976708889008, 'redshifts/outlier_fraction_cata_bin_3': 0.061408448964357376, 'redshifts/outlier_fraction_cata_bin_4': 0.055028464645147324, 'redshifts/outlier_fraction_cata_bin_5': 0.01688704825937748}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 497/1563 [43:32<1:18:58, 4.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31775.])\n", + "total num of pts: tensor([11603., 7801., 3250., 1778., 1056., 6287.])\n", + "{'redshifts/bias_abs': 0.07635212689638138, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004154780879616737, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.0031656830105930567, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0006158947944641113, 'redshifts/mse': 0.312106728553772, 'redshifts/mse_bin_0': 0.43744957447052, 'redshifts/mse_bin_1': 0.364814430475235, 'redshifts/mse_bin_2': 0.2771911323070526, 'redshifts/mse_bin_3': 0.21862904727458954, 'redshifts/mse_bin_4': 0.2258361428976059, 'redshifts/mse_bin_5': 0.0743592157959938, 'redshifts/nmad': 0.11309453099966049, 'redshifts/nmad_bin_0': 0.21173450350761414, 'redshifts/nmad_bin_1': 0.13521210849285126, 'redshifts/nmad_bin_2': 0.08928747475147247, 'redshifts/nmad_bin_3': 0.07184110581874847, 'redshifts/nmad_bin_4': 0.06205391138792038, 'redshifts/nmad_bin_5': 0.034905653446912766, 'redshifts/outlier_fraction': 0.32714396715164185, 'redshifts/outlier_fraction_bin_0': 0.48702922463417053, 'redshifts/outlier_fraction_bin_1': 0.3550826907157898, 'redshifts/outlier_fraction_bin_2': 0.26215383410453796, 'redshifts/outlier_fraction_bin_3': 0.19347581267356873, 'redshifts/outlier_fraction_bin_4': 0.19412878155708313, 'redshifts/outlier_fraction_bin_5': 0.09114044904708862, 'redshifts/outlier_fraction_cata': 0.08944138139486313, 'redshifts/outlier_fraction_cata_bin_0': 0.13255192339420319, 'redshifts/outlier_fraction_cata_bin_1': 0.09998717904090881, 'redshifts/outlier_fraction_cata_bin_2': 0.07723076641559601, 'redshifts/outlier_fraction_cata_bin_3': 0.061304837465286255, 'redshifts/outlier_fraction_cata_bin_4': 0.054924242198467255, 'redshifts/outlier_fraction_cata_bin_5': 0.01686018705368042}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 498/1563 [43:36<1:14:55, 4.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31836.])\n", + "total num of pts: tensor([11624., 7815., 3256., 1783., 1057., 6301.])\n", + "{'redshifts/bias_abs': 0.07626644521951675, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.04090941697359085, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004135986790060997, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0006052255630493164, 'redshifts/mse': 0.3119998276233673, 'redshifts/mse_bin_0': 0.43734684586524963, 'redshifts/mse_bin_1': 0.36498597264289856, 'redshifts/mse_bin_2': 0.27672287821769714, 'redshifts/mse_bin_3': 0.21858635544776917, 'redshifts/mse_bin_4': 0.22562797367572784, 'redshifts/mse_bin_5': 0.07419921457767487, 'redshifts/nmad': 0.11303053051233292, 'redshifts/nmad_bin_0': 0.21149146556854248, 'redshifts/nmad_bin_1': 0.13506385684013367, 'redshifts/nmad_bin_2': 0.08910784125328064, 'redshifts/nmad_bin_3': 0.07184110581874847, 'redshifts/nmad_bin_4': 0.06205391138792038, 'redshifts/nmad_bin_5': 0.03494846075773239, 'redshifts/outlier_fraction': 0.3270511329174042, 'redshifts/outlier_fraction_bin_0': 0.4870956540107727, 'redshifts/outlier_fraction_bin_1': 0.3549584150314331, 'redshifts/outlier_fraction_bin_2': 0.261977881193161, 'redshifts/outlier_fraction_bin_3': 0.19349411129951477, 'redshifts/outlier_fraction_bin_4': 0.19394512474536896, 'redshifts/outlier_fraction_bin_5': 0.09093794971704483, 'redshifts/outlier_fraction_cata': 0.08939564973115921, 'redshifts/outlier_fraction_cata_bin_0': 0.13248451054096222, 'redshifts/outlier_fraction_cata_bin_1': 0.1000639796257019, 'redshifts/outlier_fraction_cata_bin_2': 0.07708845287561417, 'redshifts/outlier_fraction_cata_bin_3': 0.061132922768592834, 'redshifts/outlier_fraction_cata_bin_4': 0.05487228184938431, 'redshifts/outlier_fraction_cata_bin_5': 0.016822727397084236}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 499/1563 [43:40<1:12:40, 4.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31894.])\n", + "total num of pts: tensor([11648., 7825., 3261., 1789., 1061., 6310.])\n", + "{'redshifts/bias_abs': 0.07634434849023819, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04096825793385506, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004137605428695679, 'redshifts/bias_bin_0': 0.03028196096420288, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.0006156802410259843, 'redshifts/mse': 0.3121623396873474, 'redshifts/mse_bin_0': 0.4371384084224701, 'redshifts/mse_bin_1': 0.3658332824707031, 'redshifts/mse_bin_2': 0.27648377418518066, 'redshifts/mse_bin_3': 0.21951498091220856, 'redshifts/mse_bin_4': 0.22522097826004028, 'redshifts/mse_bin_5': 0.07423326373100281, 'redshifts/nmad': 0.1130690723657608, 'redshifts/nmad_bin_0': 0.21132181584835052, 'redshifts/nmad_bin_1': 0.1351647526025772, 'redshifts/nmad_bin_2': 0.08920397609472275, 'redshifts/nmad_bin_3': 0.07187890261411667, 'redshifts/nmad_bin_4': 0.06223640590906143, 'redshifts/nmad_bin_5': 0.03497382625937462, 'redshifts/outlier_fraction': 0.32720887660980225, 'redshifts/outlier_fraction_bin_0': 0.486950546503067, 'redshifts/outlier_fraction_bin_1': 0.355271577835083, 'redshifts/outlier_fraction_bin_2': 0.26218950748443604, 'redshifts/outlier_fraction_bin_3': 0.19396311044692993, 'redshifts/outlier_fraction_bin_4': 0.1941564530134201, 'redshifts/outlier_fraction_bin_5': 0.09128367900848389, 'redshifts/outlier_fraction_cata': 0.08951526880264282, 'redshifts/outlier_fraction_cata_bin_0': 0.13255494832992554, 'redshifts/outlier_fraction_cata_bin_1': 0.10044728219509125, 'redshifts/outlier_fraction_cata_bin_2': 0.07697025686502457, 'redshifts/outlier_fraction_cata_bin_3': 0.0614868625998497, 'redshifts/outlier_fraction_cata_bin_4': 0.05466540902853012, 'redshifts/outlier_fraction_cata_bin_5': 0.016798732802271843}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 500/1563 [43:44<1:15:55, 4.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([31955.])\n", + "total num of pts: tensor([11673., 7833., 3267., 1791., 1068., 6323.])\n", + "{'redshifts/bias_abs': 0.07634434849023819, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.041027192026376724, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004128248430788517, 'redshifts/bias_bin_0': 0.030204283073544502, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0005983690498396754, 'redshifts/mse': 0.3121788203716278, 'redshifts/mse_bin_0': 0.4373554289340973, 'redshifts/mse_bin_1': 0.3656444549560547, 'redshifts/mse_bin_2': 0.276008665561676, 'redshifts/mse_bin_3': 0.2192743718624115, 'redshifts/mse_bin_4': 0.2279171645641327, 'redshifts/mse_bin_5': 0.07409459352493286, 'redshifts/nmad': 0.11307346820831299, 'redshifts/nmad_bin_0': 0.21130189299583435, 'redshifts/nmad_bin_1': 0.13518455624580383, 'redshifts/nmad_bin_2': 0.08910784125328064, 'redshifts/nmad_bin_3': 0.07184110581874847, 'redshifts/nmad_bin_4': 0.06252701580524445, 'redshifts/nmad_bin_5': 0.034958627074956894, 'redshifts/outlier_fraction': 0.3272414207458496, 'redshifts/outlier_fraction_bin_0': 0.4870213270187378, 'redshifts/outlier_fraction_bin_1': 0.3554193675518036, 'redshifts/outlier_fraction_bin_2': 0.26201409101486206, 'redshifts/outlier_fraction_bin_3': 0.19374650716781616, 'redshifts/outlier_fraction_bin_4': 0.19569288194179535, 'redshifts/outlier_fraction_bin_5': 0.09109599888324738, 'redshifts/outlier_fraction_cata': 0.08946956694126129, 'redshifts/outlier_fraction_cata_bin_0': 0.13252805173397064, 'redshifts/outlier_fraction_cata_bin_1': 0.1003446951508522, 'redshifts/outlier_fraction_cata_bin_2': 0.07682889699935913, 'redshifts/outlier_fraction_cata_bin_3': 0.06141820177435875, 'redshifts/outlier_fraction_cata_bin_4': 0.05524344742298126, 'redshifts/outlier_fraction_cata_bin_5': 0.016764193773269653}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 501/1563 [43:48<1:13:52, 4.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32029.])\n", + "total num of pts: tensor([11699., 7852., 3275., 1795., 1069., 6339.])\n", + "{'redshifts/bias_abs': 0.07631302624940872, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.041027192026376724, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.030100848525762558, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0005983690498396754, 'redshifts/mse': 0.31229326128959656, 'redshifts/mse_bin_0': 0.43708568811416626, 'redshifts/mse_bin_1': 0.36658355593681335, 'redshifts/mse_bin_2': 0.27552399039268494, 'redshifts/mse_bin_3': 0.2206846922636032, 'redshifts/mse_bin_4': 0.2277039885520935, 'redshifts/mse_bin_5': 0.07393938302993774, 'redshifts/nmad': 0.11306580156087875, 'redshifts/nmad_bin_0': 0.21132515370845795, 'redshifts/nmad_bin_1': 0.13523633778095245, 'redshifts/nmad_bin_2': 0.08910784125328064, 'redshifts/nmad_bin_3': 0.07203225046396255, 'redshifts/nmad_bin_4': 0.06240054965019226, 'redshifts/nmad_bin_5': 0.03493163734674454, 'redshifts/outlier_fraction': 0.3273595869541168, 'redshifts/outlier_fraction_bin_0': 0.487135648727417, 'redshifts/outlier_fraction_bin_1': 0.3557055592536926, 'redshifts/outlier_fraction_bin_2': 0.2622900903224945, 'redshifts/outlier_fraction_bin_3': 0.19387187063694, 'redshifts/outlier_fraction_bin_4': 0.19550982117652893, 'redshifts/outlier_fraction_bin_5': 0.09102381765842438, 'redshifts/outlier_fraction_cata': 0.08945018798112869, 'redshifts/outlier_fraction_cata_bin_0': 0.13231900334358215, 'redshifts/outlier_fraction_cata_bin_1': 0.10061130672693253, 'redshifts/outlier_fraction_cata_bin_2': 0.07664122432470322, 'redshifts/outlier_fraction_cata_bin_3': 0.06183844059705734, 'redshifts/outlier_fraction_cata_bin_4': 0.0551917664706707, 'redshifts/outlier_fraction_cata_bin_5': 0.016721880063414574}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 502/1563 [43:53<1:16:15, 4.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32103.])\n", + "total num of pts: tensor([11728., 7870., 3278., 1797., 1076., 6354.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004100842867046595, 'redshifts/bias_bin_0': 0.029934532940387726, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.0006158947944641113, 'redshifts/mse': 0.31267768144607544, 'redshifts/mse_bin_0': 0.43772104382514954, 'redshifts/mse_bin_1': 0.3663124144077301, 'redshifts/mse_bin_2': 0.27714696526527405, 'redshifts/mse_bin_3': 0.22055713832378387, 'redshifts/mse_bin_4': 0.23027457296848297, 'redshifts/mse_bin_5': 0.07378692924976349, 'redshifts/nmad': 0.1130826398730278, 'redshifts/nmad_bin_0': 0.2122899442911148, 'redshifts/nmad_bin_1': 0.13523277640342712, 'redshifts/nmad_bin_2': 0.08906585723161697, 'redshifts/nmad_bin_3': 0.07207004725933075, 'redshifts/nmad_bin_4': 0.06261981278657913, 'redshifts/nmad_bin_5': 0.03484911844134331, 'redshifts/outlier_fraction': 0.32753947377204895, 'redshifts/outlier_fraction_bin_0': 0.48755115270614624, 'redshifts/outlier_fraction_bin_1': 0.3555273115634918, 'redshifts/outlier_fraction_bin_2': 0.26235508918762207, 'redshifts/outlier_fraction_bin_3': 0.19421257078647614, 'redshifts/outlier_fraction_bin_4': 0.19702602922916412, 'redshifts/outlier_fraction_bin_5': 0.09096632152795792, 'redshifts/outlier_fraction_cata': 0.08952434360980988, 'redshifts/outlier_fraction_cata_bin_0': 0.13250340521335602, 'redshifts/outlier_fraction_cata_bin_1': 0.10050825774669647, 'redshifts/outlier_fraction_cata_bin_2': 0.07687614113092422, 'redshifts/outlier_fraction_cata_bin_3': 0.06176961585879326, 'redshifts/outlier_fraction_cata_bin_4': 0.05576208233833313, 'redshifts/outlier_fraction_cata_bin_5': 0.016682405024766922}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 503/1563 [43:57<1:15:18, 4.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32156.])\n", + "total num of pts: tensor([11745., 7880., 3286., 1800., 1078., 6367.])\n", + "{'redshifts/bias_abs': 0.07631302624940872, 'redshifts/bias_abs_bin_0': 0.14462120831012726, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004089513327926397, 'redshifts/bias_bin_0': 0.030004778876900673, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0006158947944641113, 'redshifts/mse': 0.3125821053981781, 'redshifts/mse_bin_0': 0.4375845193862915, 'redshifts/mse_bin_1': 0.36613234877586365, 'redshifts/mse_bin_2': 0.27650186419487, 'redshifts/mse_bin_3': 0.221104696393013, 'redshifts/mse_bin_4': 0.22987373173236847, 'redshifts/mse_bin_5': 0.07420888543128967, 'redshifts/nmad': 0.11305733025074005, 'redshifts/nmad_bin_0': 0.212325319647789, 'redshifts/nmad_bin_1': 0.13514406979084015, 'redshifts/nmad_bin_2': 0.08887840062379837, 'redshifts/nmad_bin_3': 0.07207202911376953, 'redshifts/nmad_bin_4': 0.06265127658843994, 'redshifts/nmad_bin_5': 0.03484911844134331, 'redshifts/outlier_fraction': 0.3274039030075073, 'redshifts/outlier_fraction_bin_0': 0.4876117408275604, 'redshifts/outlier_fraction_bin_1': 0.3553299605846405, 'redshifts/outlier_fraction_bin_2': 0.261716365814209, 'redshifts/outlier_fraction_bin_3': 0.1944444477558136, 'redshifts/outlier_fraction_bin_4': 0.19666048884391785, 'redshifts/outlier_fraction_bin_5': 0.09093764424324036, 'redshifts/outlier_fraction_cata': 0.0895322784781456, 'redshifts/outlier_fraction_cata_bin_0': 0.1324819028377533, 'redshifts/outlier_fraction_cata_bin_1': 0.10050761699676514, 'redshifts/outlier_fraction_cata_bin_2': 0.0766889825463295, 'redshifts/outlier_fraction_cata_bin_3': 0.06222222372889519, 'redshifts/outlier_fraction_cata_bin_4': 0.055658627301454544, 'redshifts/outlier_fraction_cata_bin_5': 0.01680540293455124}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 504/1563 [44:01<1:11:45, 4.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32213.])\n", + "total num of pts: tensor([11762., 7893., 3292., 1805., 1079., 6382.])\n", + "{'redshifts/bias_abs': 0.07627314329147339, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004087230656296015, 'redshifts/bias_bin_0': 0.030004778876900673, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0006158947944641113, 'redshifts/mse': 0.3122958242893219, 'redshifts/mse_bin_0': 0.43754342198371887, 'redshifts/mse_bin_1': 0.3656594753265381, 'redshifts/mse_bin_2': 0.2760569453239441, 'redshifts/mse_bin_3': 0.2206590175628662, 'redshifts/mse_bin_4': 0.22969383001327515, 'redshifts/mse_bin_5': 0.07404706627130508, 'redshifts/nmad': 0.11304192990064621, 'redshifts/nmad_bin_0': 0.21237224340438843, 'redshifts/nmad_bin_1': 0.13511209189891815, 'redshifts/nmad_bin_2': 0.08860962092876434, 'redshifts/nmad_bin_3': 0.07213698327541351, 'redshifts/nmad_bin_4': 0.0626530721783638, 'redshifts/nmad_bin_5': 0.03482837975025177, 'redshifts/outlier_fraction': 0.32729023694992065, 'redshifts/outlier_fraction_bin_0': 0.4877571761608124, 'redshifts/outlier_fraction_bin_1': 0.35487139225006104, 'redshifts/outlier_fraction_bin_2': 0.2615431249141693, 'redshifts/outlier_fraction_bin_3': 0.19445984065532684, 'redshifts/outlier_fraction_bin_4': 0.19740501046180725, 'redshifts/outlier_fraction_bin_5': 0.09088060259819031, 'redshifts/outlier_fraction_cata': 0.08946698904037476, 'redshifts/outlier_fraction_cata_bin_0': 0.13254548609256744, 'redshifts/outlier_fraction_cata_bin_1': 0.10034207254648209, 'redshifts/outlier_fraction_cata_bin_2': 0.07654920965433121, 'redshifts/outlier_fraction_cata_bin_3': 0.06204986199736595, 'redshifts/outlier_fraction_cata_bin_4': 0.05560704320669174, 'redshifts/outlier_fraction_cata_bin_5': 0.016765903681516647}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 505/1563 [44:04<1:10:07, 3.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32269.])\n", + "total num of pts: tensor([11784., 7908., 3297., 1806., 1080., 6394.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004090624395757914, 'redshifts/bias_bin_0': 0.030026938766241074, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0006362742860801518, 'redshifts/mse': 0.3122390806674957, 'redshifts/mse_bin_0': 0.436957985162735, 'redshifts/mse_bin_1': 0.36577272415161133, 'redshifts/mse_bin_2': 0.27569982409477234, 'redshifts/mse_bin_3': 0.22053827345371246, 'redshifts/mse_bin_4': 0.23026371002197266, 'redshifts/mse_bin_5': 0.07476801425218582, 'redshifts/nmad': 0.1131260022521019, 'redshifts/nmad_bin_0': 0.21203772723674774, 'redshifts/nmad_bin_1': 0.13523438572883606, 'redshifts/nmad_bin_2': 0.08866637200117111, 'redshifts/nmad_bin_3': 0.07212256640195847, 'redshifts/nmad_bin_4': 0.06266909837722778, 'redshifts/nmad_bin_5': 0.0348237119615078, 'redshifts/outlier_fraction': 0.3274040222167969, 'redshifts/outlier_fraction_bin_0': 0.48752546310424805, 'redshifts/outlier_fraction_bin_1': 0.35533636808395386, 'redshifts/outlier_fraction_bin_2': 0.26144981384277344, 'redshifts/outlier_fraction_bin_3': 0.1943521648645401, 'redshifts/outlier_fraction_bin_4': 0.19814814627170563, 'redshifts/outlier_fraction_bin_5': 0.09117922931909561, 'redshifts/outlier_fraction_cata': 0.08943568170070648, 'redshifts/outlier_fraction_cata_bin_0': 0.1322980374097824, 'redshifts/outlier_fraction_cata_bin_1': 0.10053110867738724, 'redshifts/outlier_fraction_cata_bin_2': 0.07643312215805054, 'redshifts/outlier_fraction_cata_bin_3': 0.06201550364494324, 'redshifts/outlier_fraction_cata_bin_4': 0.0555555559694767, 'redshifts/outlier_fraction_cata_bin_5': 0.016890835016965866}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 506/1563 [44:07<1:04:09, 3.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32322.])\n", + "total num of pts: tensor([11801., 7924., 3299., 1808., 1081., 6409.])\n", + "{'redshifts/bias_abs': 0.07627314329147339, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004087718669325113, 'redshifts/bias_bin_0': 0.030026938766241074, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0006362742860801518, 'redshifts/mse': 0.31206241250038147, 'redshifts/mse_bin_0': 0.43701356649398804, 'redshifts/mse_bin_1': 0.36523106694221497, 'redshifts/mse_bin_2': 0.2755894660949707, 'redshifts/mse_bin_3': 0.22029782831668854, 'redshifts/mse_bin_4': 0.23005957901477814, 'redshifts/mse_bin_5': 0.07474745064973831, 'redshifts/nmad': 0.11303499341011047, 'redshifts/nmad_bin_0': 0.21189045906066895, 'redshifts/nmad_bin_1': 0.1352396309375763, 'redshifts/nmad_bin_2': 0.08864843845367432, 'redshifts/nmad_bin_3': 0.07207202911376953, 'redshifts/nmad_bin_4': 0.06273002177476883, 'redshifts/nmad_bin_5': 0.0348237119615078, 'redshifts/outlier_fraction': 0.32733121514320374, 'redshifts/outlier_fraction_bin_0': 0.4874163269996643, 'redshifts/outlier_fraction_bin_1': 0.35537606477737427, 'redshifts/outlier_fraction_bin_2': 0.26159441471099854, 'redshifts/outlier_fraction_bin_3': 0.19413717091083527, 'redshifts/outlier_fraction_bin_4': 0.1979648470878601, 'redshifts/outlier_fraction_bin_5': 0.0911218598484993, 'redshifts/outlier_fraction_cata': 0.08938184380531311, 'redshifts/outlier_fraction_cata_bin_0': 0.13236166536808014, 'redshifts/outlier_fraction_cata_bin_1': 0.10032811760902405, 'redshifts/outlier_fraction_cata_bin_2': 0.07638678699731827, 'redshifts/outlier_fraction_cata_bin_3': 0.06194690242409706, 'redshifts/outlier_fraction_cata_bin_4': 0.05550416186451912, 'redshifts/outlier_fraction_cata_bin_5': 0.016851302236318588}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 32%|███▏ | 507/1563 [44:10<1:01:39, 3.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32372.])\n", + "total num of pts: tensor([11817., 7938., 3305., 1814., 1083., 6415.])\n", + "{'redshifts/bias_abs': 0.07627314329147339, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004087718669325113, 'redshifts/bias_bin_0': 0.030026938766241074, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0006158947944641113, 'redshifts/mse': 0.3119146525859833, 'redshifts/mse_bin_0': 0.43691486120224, 'redshifts/mse_bin_1': 0.3648659884929657, 'redshifts/mse_bin_2': 0.275247186422348, 'redshifts/mse_bin_3': 0.2207709401845932, 'redshifts/mse_bin_4': 0.22963932156562805, 'redshifts/mse_bin_5': 0.07468874752521515, 'redshifts/nmad': 0.11303499341011047, 'redshifts/nmad_bin_0': 0.2114347219467163, 'redshifts/nmad_bin_1': 0.1352444291114807, 'redshifts/nmad_bin_2': 0.08870819956064224, 'redshifts/nmad_bin_3': 0.07207202911376953, 'redshifts/nmad_bin_4': 0.0626530721783638, 'redshifts/nmad_bin_5': 0.03482837975025177, 'redshifts/outlier_fraction': 0.32741257548332214, 'redshifts/outlier_fraction_bin_0': 0.48726409673690796, 'redshifts/outlier_fraction_bin_1': 0.35575711727142334, 'redshifts/outlier_fraction_bin_2': 0.26172465085983276, 'redshifts/outlier_fraction_bin_3': 0.19459757208824158, 'redshifts/outlier_fraction_bin_4': 0.19759926199913025, 'redshifts/outlier_fraction_bin_5': 0.09119252115488052, 'redshifts/outlier_fraction_cata': 0.0893055722117424, 'redshifts/outlier_fraction_cata_bin_0': 0.1322670727968216, 'redshifts/outlier_fraction_cata_bin_1': 0.1001511737704277, 'redshifts/outlier_fraction_cata_bin_2': 0.07624810934066772, 'redshifts/outlier_fraction_cata_bin_3': 0.06229327619075775, 'redshifts/outlier_fraction_cata_bin_4': 0.05540166050195694, 'redshifts/outlier_fraction_cata_bin_5': 0.016835542395710945}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 508/1563 [44:13<58:46, 3.34s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32419.])\n", + "total num of pts: tensor([11837., 7944., 3313., 1817., 1084., 6424.])\n", + "{'redshifts/bias_abs': 0.07626606523990631, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004111464135348797, 'redshifts/bias_bin_0': 0.030026938766241074, 'redshifts/bias_bin_1': 0.010118684731423855, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0006052255630493164, 'redshifts/mse': 0.31219425797462463, 'redshifts/mse_bin_0': 0.4369393289089203, 'redshifts/mse_bin_1': 0.3651019036769867, 'redshifts/mse_bin_2': 0.2777283787727356, 'redshifts/mse_bin_3': 0.22045201063156128, 'redshifts/mse_bin_4': 0.22949646413326263, 'redshifts/mse_bin_5': 0.07459206134080887, 'redshifts/nmad': 0.11300601065158844, 'redshifts/nmad_bin_0': 0.2114126831293106, 'redshifts/nmad_bin_1': 0.13521765172481537, 'redshifts/nmad_bin_2': 0.08864568918943405, 'redshifts/nmad_bin_3': 0.07207004725933075, 'redshifts/nmad_bin_4': 0.06266909837722778, 'redshifts/nmad_bin_5': 0.03486493602395058, 'redshifts/outlier_fraction': 0.327369749546051, 'redshifts/outlier_fraction_bin_0': 0.48711666464805603, 'redshifts/outlier_fraction_bin_1': 0.35586607456207275, 'redshifts/outlier_fraction_bin_2': 0.26169633865356445, 'redshifts/outlier_fraction_bin_3': 0.19427627325057983, 'redshifts/outlier_fraction_bin_4': 0.19833947718143463, 'redshifts/outlier_fraction_bin_5': 0.09106475859880447, 'redshifts/outlier_fraction_cata': 0.08936117589473724, 'redshifts/outlier_fraction_cata_bin_0': 0.13229703903198242, 'redshifts/outlier_fraction_cata_bin_1': 0.10020141303539276, 'redshifts/outlier_fraction_cata_bin_2': 0.0766676738858223, 'redshifts/outlier_fraction_cata_bin_3': 0.062190424650907516, 'redshifts/outlier_fraction_cata_bin_4': 0.05535055324435234, 'redshifts/outlier_fraction_cata_bin_5': 0.016811955720186234}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 509/1563 [44:17<57:25, 3.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32476.])\n", + "total num of pts: tensor([11854., 7958., 3320., 1821., 1087., 6436.])\n", + "{'redshifts/bias_abs': 0.07616924494504929, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004090624395757914, 'redshifts/bias_bin_0': 0.029934532940387726, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0005694329738616943, 'redshifts/mse': 0.31204521656036377, 'redshifts/mse_bin_0': 0.43650493025779724, 'redshifts/mse_bin_1': 0.3650205135345459, 'redshifts/mse_bin_2': 0.27895909547805786, 'redshifts/mse_bin_3': 0.21997375786304474, 'redshifts/mse_bin_4': 0.22887277603149414, 'redshifts/mse_bin_5': 0.07447796314954758, 'redshifts/nmad': 0.11294863373041153, 'redshifts/nmad_bin_0': 0.2114037722349167, 'redshifts/nmad_bin_1': 0.13528166711330414, 'redshifts/nmad_bin_2': 0.08854880183935165, 'redshifts/nmad_bin_3': 0.07203422486782074, 'redshifts/nmad_bin_4': 0.06266909837722778, 'redshifts/nmad_bin_5': 0.034923866391181946, 'redshifts/outlier_fraction': 0.32725703716278076, 'redshifts/outlier_fraction_bin_0': 0.4868398904800415, 'redshifts/outlier_fraction_bin_1': 0.35599395632743835, 'redshifts/outlier_fraction_bin_2': 0.26174700260162354, 'redshifts/outlier_fraction_bin_3': 0.19384953379631042, 'redshifts/outlier_fraction_bin_4': 0.19779208302497864, 'redshifts/outlier_fraction_bin_5': 0.09120571613311768, 'redshifts/outlier_fraction_cata': 0.08929671347141266, 'redshifts/outlier_fraction_cata_bin_0': 0.13219165802001953, 'redshifts/outlier_fraction_cata_bin_1': 0.10015079379081726, 'redshifts/outlier_fraction_cata_bin_2': 0.07680723071098328, 'redshifts/outlier_fraction_cata_bin_3': 0.06205381825566292, 'redshifts/outlier_fraction_cata_bin_4': 0.05519779026508331, 'redshifts/outlier_fraction_cata_bin_5': 0.016780609264969826}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 510/1563 [44:19<52:18, 2.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32546.])\n", + "total num of pts: tensor([11876., 7974., 3322., 1828., 1088., 6458.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.0915614441037178, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004089513327926397, 'redshifts/bias_bin_0': 0.029838796705007553, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0005206465721130371, 'redshifts/mse': 0.31233689188957214, 'redshifts/mse_bin_0': 0.4368825852870941, 'redshifts/mse_bin_1': 0.36567044258117676, 'redshifts/mse_bin_2': 0.2787967324256897, 'redshifts/mse_bin_3': 0.21915356814861298, 'redshifts/mse_bin_4': 0.22869233787059784, 'redshifts/mse_bin_5': 0.07517401874065399, 'redshifts/nmad': 0.11294148117303848, 'redshifts/nmad_bin_0': 0.21161150932312012, 'redshifts/nmad_bin_1': 0.13532672822475433, 'redshifts/nmad_bin_2': 0.08850996941328049, 'redshifts/nmad_bin_3': 0.07118553668260574, 'redshifts/nmad_bin_4': 0.06272634863853455, 'redshifts/nmad_bin_5': 0.0349438302218914, 'redshifts/outlier_fraction': 0.32719841599464417, 'redshifts/outlier_fraction_bin_0': 0.4869484603404999, 'redshifts/outlier_fraction_bin_1': 0.35628291964530945, 'redshifts/outlier_fraction_bin_2': 0.2615894079208374, 'redshifts/outlier_fraction_bin_3': 0.1931072175502777, 'redshifts/outlier_fraction_bin_4': 0.1976102888584137, 'redshifts/outlier_fraction_bin_5': 0.09104985743761063, 'redshifts/outlier_fraction_cata': 0.08938118070363998, 'redshifts/outlier_fraction_cata_bin_0': 0.13228359818458557, 'redshifts/outlier_fraction_cata_bin_1': 0.10045146942138672, 'redshifts/outlier_fraction_cata_bin_2': 0.07676098495721817, 'redshifts/outlier_fraction_cata_bin_3': 0.06181619316339493, 'redshifts/outlier_fraction_cata_bin_4': 0.05514705926179886, 'redshifts/outlier_fraction_cata_bin_5': 0.016878290101885796}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 511/1563 [44:21<49:06, 2.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32621.])\n", + "total num of pts: tensor([11898., 7986., 3333., 1835., 1094., 6475.])\n", + "{'redshifts/bias_abs': 0.07612184435129166, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004087718669325113, 'redshifts/bias_bin_0': 0.029807034879922867, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.000506325566675514, 'redshifts/mse': 0.3124440610408783, 'redshifts/mse_bin_0': 0.4367844760417938, 'redshifts/mse_bin_1': 0.3665337562561035, 'redshifts/mse_bin_2': 0.27979016304016113, 'redshifts/mse_bin_3': 0.21839027106761932, 'redshifts/mse_bin_4': 0.22747138142585754, 'redshifts/mse_bin_5': 0.07507642358541489, 'redshifts/nmad': 0.11293881386518478, 'redshifts/nmad_bin_0': 0.21163541078567505, 'redshifts/nmad_bin_1': 0.13542602956295013, 'redshifts/nmad_bin_2': 0.08824057877063751, 'redshifts/nmad_bin_3': 0.07167699933052063, 'redshifts/nmad_bin_4': 0.06272634863853455, 'redshifts/nmad_bin_5': 0.034924156963825226, 'redshifts/outlier_fraction': 0.32721254229545593, 'redshifts/outlier_fraction_bin_0': 0.4870566427707672, 'redshifts/outlier_fraction_bin_1': 0.3567493259906769, 'redshifts/outlier_fraction_bin_2': 0.2613261342048645, 'redshifts/outlier_fraction_bin_3': 0.19237057864665985, 'redshifts/outlier_fraction_bin_4': 0.19652651250362396, 'redshifts/outlier_fraction_bin_5': 0.09127413481473923, 'redshifts/outlier_fraction_cata': 0.08945158123970032, 'redshifts/outlier_fraction_cata_bin_0': 0.13229113817214966, 'redshifts/outlier_fraction_cata_bin_1': 0.10080140084028244, 'redshifts/outlier_fraction_cata_bin_2': 0.07710771262645721, 'redshifts/outlier_fraction_cata_bin_3': 0.06158038228750229, 'redshifts/outlier_fraction_cata_bin_4': 0.054844606667757034, 'redshifts/outlier_fraction_cata_bin_5': 0.016833975911140442}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 512/1563 [44:24<47:43, 2.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32683.])\n", + "total num of pts: tensor([11920., 8004., 3337., 1839., 1099., 6484.])\n", + "{'redshifts/bias_abs': 0.07609185576438904, 'redshifts/bias_abs_bin_0': 0.14426742494106293, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004087718669325113, 'redshifts/bias_bin_0': 0.029807034879922867, 'redshifts/bias_bin_1': 0.009842272847890854, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.000506325566675514, 'redshifts/mse': 0.3123748302459717, 'redshifts/mse_bin_0': 0.436296284198761, 'redshifts/mse_bin_1': 0.3672751784324646, 'redshifts/mse_bin_2': 0.2794821262359619, 'redshifts/mse_bin_3': 0.21820707619190216, 'redshifts/mse_bin_4': 0.22646720707416534, 'redshifts/mse_bin_5': 0.0749916285276413, 'redshifts/nmad': 0.11289618909358978, 'redshifts/nmad_bin_0': 0.2114536166191101, 'redshifts/nmad_bin_1': 0.1353890597820282, 'redshifts/nmad_bin_2': 0.08832111209630966, 'redshifts/nmad_bin_3': 0.07102349400520325, 'redshifts/nmad_bin_4': 0.0626530721783638, 'redshifts/nmad_bin_5': 0.03492259606719017, 'redshifts/outlier_fraction': 0.32711195945739746, 'redshifts/outlier_fraction_bin_0': 0.4867449700832367, 'redshifts/outlier_fraction_bin_1': 0.35694652795791626, 'redshifts/outlier_fraction_bin_2': 0.26101288199424744, 'redshifts/outlier_fraction_bin_3': 0.1924959272146225, 'redshifts/outlier_fraction_bin_4': 0.19563239812850952, 'redshifts/outlier_fraction_bin_5': 0.09130166471004486, 'redshifts/outlier_fraction_cata': 0.08943487703800201, 'redshifts/outlier_fraction_cata_bin_0': 0.13213087618350983, 'redshifts/outlier_fraction_cata_bin_1': 0.1010744646191597, 'redshifts/outlier_fraction_cata_bin_2': 0.07701528072357178, 'redshifts/outlier_fraction_cata_bin_3': 0.06144643947482109, 'redshifts/outlier_fraction_cata_bin_4': 0.054595086723566055, 'redshifts/outlier_fraction_cata_bin_5': 0.01681061089038849}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 513/1563 [44:26<47:00, 2.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32733.])\n", + "total num of pts: tensor([11934., 8019., 3342., 1841., 1101., 6496.])\n", + "{'redshifts/bias_abs': 0.07603517919778824, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.0917046070098877, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004071675706654787, 'redshifts/bias_bin_0': 0.029810458421707153, 'redshifts/bias_bin_1': 0.009842272847890854, 'redshifts/bias_bin_2': -0.004086791537702084, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0005206465721130371, 'redshifts/mse': 0.3122396469116211, 'redshifts/mse_bin_0': 0.4360957443714142, 'redshifts/mse_bin_1': 0.36742281913757324, 'redshifts/mse_bin_2': 0.27909478545188904, 'redshifts/mse_bin_3': 0.21830716729164124, 'redshifts/mse_bin_4': 0.22605715692043304, 'redshifts/mse_bin_5': 0.07486215978860855, 'redshifts/nmad': 0.11275995522737503, 'redshifts/nmad_bin_0': 0.211448535323143, 'redshifts/nmad_bin_1': 0.135346457362175, 'redshifts/nmad_bin_2': 0.08810979127883911, 'redshifts/nmad_bin_3': 0.07102152705192566, 'redshifts/nmad_bin_4': 0.06265127658843994, 'redshifts/nmad_bin_5': 0.03491633012890816, 'redshifts/outlier_fraction': 0.3270399868488312, 'redshifts/outlier_fraction_bin_0': 0.4868443012237549, 'redshifts/outlier_fraction_bin_1': 0.3567776381969452, 'redshifts/outlier_fraction_bin_2': 0.2609215974807739, 'redshifts/outlier_fraction_bin_3': 0.19282998144626617, 'redshifts/outlier_fraction_bin_4': 0.19527702033519745, 'redshifts/outlier_fraction_bin_5': 0.0911330059170723, 'redshifts/outlier_fraction_cata': 0.08935936540365219, 'redshifts/outlier_fraction_cata_bin_0': 0.13197587430477142, 'redshifts/outlier_fraction_cata_bin_1': 0.10113480687141418, 'redshifts/outlier_fraction_cata_bin_2': 0.07690005749464035, 'redshifts/outlier_fraction_cata_bin_3': 0.06137968599796295, 'redshifts/outlier_fraction_cata_bin_4': 0.0544959120452404, 'redshifts/outlier_fraction_cata_bin_5': 0.01677955687046051}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 514/1563 [44:29<45:54, 2.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32781.])\n", + "total num of pts: tensor([11949., 8032., 3348., 1843., 1104., 6505.])\n", + "{'redshifts/bias_abs': 0.07607142627239227, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.0917046070098877, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004089513327926397, 'redshifts/bias_bin_0': 0.029824024066329002, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.004029902163892984, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.000506325566675514, 'redshifts/mse': 0.31221097707748413, 'redshifts/mse_bin_0': 0.4360426068305969, 'redshifts/mse_bin_1': 0.36745622754096985, 'redshifts/mse_bin_2': 0.27886858582496643, 'redshifts/mse_bin_3': 0.21903784573078156, 'redshifts/mse_bin_4': 0.22576598823070526, 'redshifts/mse_bin_5': 0.07476489245891571, 'redshifts/nmad': 0.11282534897327423, 'redshifts/nmad_bin_0': 0.21156761050224304, 'redshifts/nmad_bin_1': 0.13532672822475433, 'redshifts/nmad_bin_2': 0.08819413930177689, 'redshifts/nmad_bin_3': 0.07167699933052063, 'redshifts/nmad_bin_4': 0.06269252300262451, 'redshifts/nmad_bin_5': 0.03492259606719017, 'redshifts/outlier_fraction': 0.3272322416305542, 'redshifts/outlier_fraction_bin_0': 0.4871537387371063, 'redshifts/outlier_fraction_bin_1': 0.3569472134113312, 'redshifts/outlier_fraction_bin_2': 0.26075267791748047, 'redshifts/outlier_fraction_bin_3': 0.19370591640472412, 'redshifts/outlier_fraction_bin_4': 0.19655796885490417, 'redshifts/outlier_fraction_bin_5': 0.09100691974163055, 'redshifts/outlier_fraction_cata': 0.08938104659318924, 'redshifts/outlier_fraction_cata_bin_0': 0.13197757303714752, 'redshifts/outlier_fraction_cata_bin_1': 0.10122011601924896, 'redshifts/outlier_fraction_cata_bin_2': 0.07676224410533905, 'redshifts/outlier_fraction_cata_bin_3': 0.06185567006468773, 'redshifts/outlier_fraction_cata_bin_4': 0.054347824305295944, 'redshifts/outlier_fraction_cata_bin_5': 0.016756340861320496}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 515/1563 [44:31<43:42, 2.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32829.])\n", + "total num of pts: tensor([11969., 8045., 3350., 1845., 1106., 6514.])\n", + "{'redshifts/bias_abs': 0.07607142627239227, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.00409969687461853, 'redshifts/bias_bin_0': 0.029810458421707153, 'redshifts/bias_bin_1': 0.009946140460669994, 'redshifts/bias_bin_2': -0.004029902163892984, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0005206465721130371, 'redshifts/mse': 0.31206974387168884, 'redshifts/mse_bin_0': 0.4358287751674652, 'redshifts/mse_bin_1': 0.3672899007797241, 'redshifts/mse_bin_2': 0.27871173620224, 'redshifts/mse_bin_3': 0.21900330483913422, 'redshifts/mse_bin_4': 0.2254219502210617, 'redshifts/mse_bin_5': 0.07470285892486572, 'redshifts/nmad': 0.1128404513001442, 'redshifts/nmad_bin_0': 0.21146897971630096, 'redshifts/nmad_bin_1': 0.13537539541721344, 'redshifts/nmad_bin_2': 0.08819413930177689, 'redshifts/nmad_bin_3': 0.07170051336288452, 'redshifts/nmad_bin_4': 0.06269252300262451, 'redshifts/nmad_bin_5': 0.03491991385817528, 'redshifts/outlier_fraction': 0.32727161049842834, 'redshifts/outlier_fraction_bin_0': 0.48700809478759766, 'redshifts/outlier_fraction_bin_1': 0.3571162223815918, 'redshifts/outlier_fraction_bin_2': 0.26059702038764954, 'redshifts/outlier_fraction_bin_3': 0.19403794407844543, 'redshifts/outlier_fraction_bin_4': 0.19710668921470642, 'redshifts/outlier_fraction_bin_5': 0.09103469550609589, 'redshifts/outlier_fraction_cata': 0.08931127935647964, 'redshifts/outlier_fraction_cata_bin_0': 0.13184058666229248, 'redshifts/outlier_fraction_cata_bin_1': 0.10118085891008377, 'redshifts/outlier_fraction_cata_bin_2': 0.07671641558408737, 'redshifts/outlier_fraction_cata_bin_3': 0.06178861856460571, 'redshifts/outlier_fraction_cata_bin_4': 0.05424954742193222, 'redshifts/outlier_fraction_cata_bin_5': 0.016733190044760704}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 516/1563 [44:35<49:13, 2.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32887.])\n", + "total num of pts: tensor([11987., 8064., 3357., 1847., 1108., 6524.])\n", + "{'redshifts/bias_abs': 0.07607142627239227, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004111464135348797, 'redshifts/bias_bin_0': 0.029824024066329002, 'redshifts/bias_bin_1': 0.009980503469705582, 'redshifts/bias_bin_2': -0.004029902163892984, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0005225210916250944, 'redshifts/mse': 0.3119641840457916, 'redshifts/mse_bin_0': 0.43597298860549927, 'redshifts/mse_bin_1': 0.36675551533699036, 'redshifts/mse_bin_2': 0.2784592807292938, 'redshifts/mse_bin_3': 0.21878404915332794, 'redshifts/mse_bin_4': 0.22502823173999786, 'redshifts/mse_bin_5': 0.07477787882089615, 'redshifts/nmad': 0.11282742768526077, 'redshifts/nmad_bin_0': 0.2114569991827011, 'redshifts/nmad_bin_1': 0.1353326290845871, 'redshifts/nmad_bin_2': 0.08830710500478745, 'redshifts/nmad_bin_3': 0.07169697433710098, 'redshifts/nmad_bin_4': 0.06269252300262451, 'redshifts/nmad_bin_5': 0.0349135547876358, 'redshifts/outlier_fraction': 0.3272721767425537, 'redshifts/outlier_fraction_bin_0': 0.4870276153087616, 'redshifts/outlier_fraction_bin_1': 0.356894850730896, 'redshifts/outlier_fraction_bin_2': 0.2606493830680847, 'redshifts/outlier_fraction_bin_3': 0.193827822804451, 'redshifts/outlier_fraction_bin_4': 0.19675090909004211, 'redshifts/outlier_fraction_bin_5': 0.09135499596595764, 'redshifts/outlier_fraction_cata': 0.08918417245149612, 'redshifts/outlier_fraction_cata_bin_0': 0.13172604143619537, 'redshifts/outlier_fraction_cata_bin_1': 0.100942462682724, 'redshifts/outlier_fraction_cata_bin_2': 0.07655645161867142, 'redshifts/outlier_fraction_cata_bin_3': 0.06172171235084534, 'redshifts/outlier_fraction_cata_bin_4': 0.05415162444114685, 'redshifts/outlier_fraction_cata_bin_5': 0.016707541421055794}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 517/1563 [44:46<1:35:55, 5.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([32951.])\n", + "total num of pts: tensor([12007., 8085., 3362., 1852., 1110., 6535.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.1443038433790207, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004125501494854689, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.004086791537702084, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0005225210916250944, 'redshifts/mse': 0.3123559355735779, 'redshifts/mse_bin_0': 0.436517596244812, 'redshifts/mse_bin_1': 0.36723217368125916, 'redshifts/mse_bin_2': 0.2797321379184723, 'redshifts/mse_bin_3': 0.21823154389858246, 'redshifts/mse_bin_4': 0.22464177012443542, 'redshifts/mse_bin_5': 0.07469728589057922, 'redshifts/nmad': 0.11279479414224625, 'redshifts/nmad_bin_0': 0.21139223873615265, 'redshifts/nmad_bin_1': 0.13523438572883606, 'redshifts/nmad_bin_2': 0.08810979127883911, 'redshifts/nmad_bin_3': 0.07146678864955902, 'redshifts/nmad_bin_4': 0.06263525038957596, 'redshifts/nmad_bin_5': 0.03492269292473793, 'redshifts/outlier_fraction': 0.3272131383419037, 'redshifts/outlier_fraction_bin_0': 0.48696592450141907, 'redshifts/outlier_fraction_bin_1': 0.35683363676071167, 'redshifts/outlier_fraction_bin_2': 0.26055920124053955, 'redshifts/outlier_fraction_bin_3': 0.19330453872680664, 'redshifts/outlier_fraction_bin_4': 0.19639639556407928, 'redshifts/outlier_fraction_bin_5': 0.09150727093219757, 'redshifts/outlier_fraction_cata': 0.08928409218788147, 'redshifts/outlier_fraction_cata_bin_0': 0.13183976709842682, 'redshifts/outlier_fraction_cata_bin_1': 0.10117501765489578, 'redshifts/outlier_fraction_cata_bin_2': 0.07674003392457962, 'redshifts/outlier_fraction_cata_bin_3': 0.06155507639050484, 'redshifts/outlier_fraction_cata_bin_4': 0.054054055362939835, 'redshifts/outlier_fraction_cata_bin_5': 0.016679419204592705}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 518/1563 [44:54<1:47:42, 6.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33006.])\n", + "total num of pts: tensor([12028., 8095., 3369., 1854., 1112., 6548.])\n", + "{'redshifts/bias_abs': 0.07600955665111542, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.041027192026376724, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004126113373786211, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.004086791537702084, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0005512110656127334, 'redshifts/mse': 0.31284859776496887, 'redshifts/mse_bin_0': 0.43786686658859253, 'redshifts/mse_bin_1': 0.3671484589576721, 'redshifts/mse_bin_2': 0.2799336612224579, 'redshifts/mse_bin_3': 0.21840232610702515, 'redshifts/mse_bin_4': 0.22423888742923737, 'redshifts/mse_bin_5': 0.07480227947235107, 'redshifts/nmad': 0.11278421431779861, 'redshifts/nmad_bin_0': 0.21151097118854523, 'redshifts/nmad_bin_1': 0.1351943463087082, 'redshifts/nmad_bin_2': 0.08822276443243027, 'redshifts/nmad_bin_3': 0.07140430063009262, 'redshifts/nmad_bin_4': 0.06254304200410843, 'redshifts/nmad_bin_5': 0.03490418195724487, 'redshifts/outlier_fraction': 0.32721322774887085, 'redshifts/outlier_fraction_bin_0': 0.48711341619491577, 'redshifts/outlier_fraction_bin_1': 0.35676342248916626, 'redshifts/outlier_fraction_bin_2': 0.2603146433830261, 'redshifts/outlier_fraction_bin_3': 0.19363538920879364, 'redshifts/outlier_fraction_bin_4': 0.19604316353797913, 'redshifts/outlier_fraction_bin_5': 0.09147831052541733, 'redshifts/outlier_fraction_cata': 0.08943828195333481, 'redshifts/outlier_fraction_cata_bin_0': 0.13219155371189117, 'redshifts/outlier_fraction_cata_bin_1': 0.10117356479167938, 'redshifts/outlier_fraction_cata_bin_2': 0.0768774151802063, 'redshifts/outlier_fraction_cata_bin_3': 0.06148867309093475, 'redshifts/outlier_fraction_cata_bin_4': 0.053956832736730576, 'redshifts/outlier_fraction_cata_bin_5': 0.016799023374915123}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 519/1563 [45:00<1:45:56, 6.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33060.])\n", + "total num of pts: tensor([12046., 8108., 3374., 1854., 1113., 6565.])\n", + "{'redshifts/bias_abs': 0.07598846405744553, 'redshifts/bias_abs_bin_0': 0.1443038433790207, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.041027192026376724, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.0041221678256988525, 'redshifts/bias_bin_0': 0.02985680289566517, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.004088081885129213, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0005206465721130371, 'redshifts/mse': 0.3127577304840088, 'redshifts/mse_bin_0': 0.43780410289764404, 'redshifts/mse_bin_1': 0.366803914308548, 'redshifts/mse_bin_2': 0.28092315793037415, 'redshifts/mse_bin_3': 0.21840232610702515, 'redshifts/mse_bin_4': 0.2240394651889801, 'redshifts/mse_bin_5': 0.07461528480052948, 'redshifts/nmad': 0.1126430332660675, 'redshifts/nmad_bin_0': 0.21140839159488678, 'redshifts/nmad_bin_1': 0.13515125215053558, 'redshifts/nmad_bin_2': 0.08822084963321686, 'redshifts/nmad_bin_3': 0.07140430063009262, 'redshifts/nmad_bin_4': 0.06254304200410843, 'redshifts/nmad_bin_5': 0.03491633012890816, 'redshifts/outlier_fraction': 0.32704174518585205, 'redshifts/outlier_fraction_bin_0': 0.4870496392250061, 'redshifts/outlier_fraction_bin_1': 0.35656142234802246, 'redshifts/outlier_fraction_bin_2': 0.2602252662181854, 'redshifts/outlier_fraction_bin_3': 0.19363538920879364, 'redshifts/outlier_fraction_bin_4': 0.19586703181266785, 'redshifts/outlier_fraction_bin_5': 0.09124143421649933, 'redshifts/outlier_fraction_cata': 0.08944343775510788, 'redshifts/outlier_fraction_cata_bin_0': 0.1322430670261383, 'redshifts/outlier_fraction_cata_bin_1': 0.10113468021154404, 'redshifts/outlier_fraction_cata_bin_2': 0.07705987244844437, 'redshifts/outlier_fraction_cata_bin_3': 0.06148867309093475, 'redshifts/outlier_fraction_cata_bin_4': 0.05390835553407669, 'redshifts/outlier_fraction_cata_bin_5': 0.016755521297454834}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 520/1563 [45:06<1:45:36, 6.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33120.])\n", + "total num of pts: tensor([12069., 8121., 3379., 1859., 1114., 6578.])\n", + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.0410253070294857, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004122514743357897, 'redshifts/bias_bin_0': 0.02985680289566517, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.0041073900647461414, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0005206465721130371, 'redshifts/mse': 0.3127764165401459, 'redshifts/mse_bin_0': 0.4379201829433441, 'redshifts/mse_bin_1': 0.36643511056900024, 'redshifts/mse_bin_2': 0.2805407643318176, 'redshifts/mse_bin_3': 0.2181379795074463, 'redshifts/mse_bin_4': 0.22383864223957062, 'redshifts/mse_bin_5': 0.07529250532388687, 'redshifts/nmad': 0.11266350746154785, 'redshifts/nmad_bin_0': 0.2115616351366043, 'redshifts/nmad_bin_1': 0.13514742255210876, 'redshifts/nmad_bin_2': 0.08819222450256348, 'redshifts/nmad_bin_3': 0.0713738352060318, 'redshifts/nmad_bin_4': 0.06251002103090286, 'redshifts/nmad_bin_5': 0.03491991385817528, 'redshifts/outlier_fraction': 0.3270833194255829, 'redshifts/outlier_fraction_bin_0': 0.4871986210346222, 'redshifts/outlier_fraction_bin_1': 0.3563600480556488, 'redshifts/outlier_fraction_bin_2': 0.259840190410614, 'redshifts/outlier_fraction_bin_3': 0.19472834467887878, 'redshifts/outlier_fraction_bin_4': 0.19569119811058044, 'redshifts/outlier_fraction_bin_5': 0.09136515855789185, 'redshifts/outlier_fraction_cata': 0.08940217643976212, 'redshifts/outlier_fraction_cata_bin_0': 0.13223962485790253, 'redshifts/outlier_fraction_cata_bin_1': 0.10097278654575348, 'redshifts/outlier_fraction_cata_bin_2': 0.07694584131240845, 'redshifts/outlier_fraction_cata_bin_3': 0.061323292553424835, 'redshifts/outlier_fraction_cata_bin_4': 0.05385996401309967, 'redshifts/outlier_fraction_cata_bin_5': 0.01687443070113659}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 521/1563 [45:11<1:39:03, 5.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33160.])\n", + "total num of pts: tensor([12081., 8133., 3384., 1861., 1114., 6587.])\n", + "{'redshifts/bias_abs': 0.07599033415317535, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.0410253070294857, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.0041221678256988525, 'redshifts/bias_bin_0': 0.029838796705007553, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.004088081885129213, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0005206465721130371, 'redshifts/mse': 0.31281840801239014, 'redshifts/mse_bin_0': 0.4380335211753845, 'redshifts/mse_bin_1': 0.36675044894218445, 'redshifts/mse_bin_2': 0.2801991403102875, 'redshifts/mse_bin_3': 0.2179056853055954, 'redshifts/mse_bin_4': 0.22383864223957062, 'redshifts/mse_bin_5': 0.07519982755184174, 'redshifts/nmad': 0.1126430332660675, 'redshifts/nmad_bin_0': 0.21157965064048767, 'redshifts/nmad_bin_1': 0.13523633778095245, 'redshifts/nmad_bin_2': 0.08822084963321686, 'redshifts/nmad_bin_3': 0.07132779061794281, 'redshifts/nmad_bin_4': 0.06251002103090286, 'redshifts/nmad_bin_5': 0.0349438302218914, 'redshifts/outlier_fraction': 0.32705065608024597, 'redshifts/outlier_fraction_bin_0': 0.4871285557746887, 'redshifts/outlier_fraction_bin_1': 0.3565720021724701, 'redshifts/outlier_fraction_bin_2': 0.2597517669200897, 'redshifts/outlier_fraction_bin_3': 0.1945190727710724, 'redshifts/outlier_fraction_bin_4': 0.19569119811058044, 'redshifts/outlier_fraction_bin_5': 0.09124032407999039, 'redshifts/outlier_fraction_cata': 0.08944511413574219, 'redshifts/outlier_fraction_cata_bin_0': 0.13235659897327423, 'redshifts/outlier_fraction_cata_bin_1': 0.10106971859931946, 'redshifts/outlier_fraction_cata_bin_2': 0.07683215290307999, 'redshifts/outlier_fraction_cata_bin_3': 0.061257388442754745, 'redshifts/outlier_fraction_cata_bin_4': 0.05385996401309967, 'redshifts/outlier_fraction_cata_bin_5': 0.01685137301683426}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 522/1563 [45:16<1:33:18, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33222.])\n", + "total num of pts: tensor([12103., 8142., 3389., 1866., 1115., 6607.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.041027192026376724, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.0041073900647461414, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0005000461242161691, 'redshifts/mse': 0.31256577372550964, 'redshifts/mse_bin_0': 0.4378628134727478, 'redshifts/mse_bin_1': 0.3666289448738098, 'redshifts/mse_bin_2': 0.27979233860969543, 'redshifts/mse_bin_3': 0.21737898886203766, 'redshifts/mse_bin_4': 0.22364115715026855, 'redshifts/mse_bin_5': 0.07512177526950836, 'redshifts/nmad': 0.1125592589378357, 'redshifts/nmad_bin_0': 0.2114003747701645, 'redshifts/nmad_bin_1': 0.13519717752933502, 'redshifts/nmad_bin_2': 0.08807925879955292, 'redshifts/nmad_bin_3': 0.07123371213674545, 'redshifts/nmad_bin_4': 0.06251002103090286, 'redshifts/nmad_bin_5': 0.034913286566734314, 'redshifts/outlier_fraction': 0.3268316090106964, 'redshifts/outlier_fraction_bin_0': 0.4869866967201233, 'redshifts/outlier_fraction_bin_1': 0.3565463125705719, 'redshifts/outlier_fraction_bin_2': 0.25936853885650635, 'redshifts/outlier_fraction_bin_3': 0.19399785995483398, 'redshifts/outlier_fraction_bin_4': 0.1955156922340393, 'redshifts/outlier_fraction_bin_5': 0.09111548215150833, 'redshifts/outlier_fraction_cata': 0.08936849236488342, 'redshifts/outlier_fraction_cata_bin_0': 0.13228125870227814, 'redshifts/outlier_fraction_cata_bin_1': 0.10108081251382828, 'redshifts/outlier_fraction_cata_bin_2': 0.07671879976987839, 'redshifts/outlier_fraction_cata_bin_3': 0.061093248426914215, 'redshifts/outlier_fraction_cata_bin_4': 0.053811658173799515, 'redshifts/outlier_fraction_cata_bin_5': 0.01680036261677742}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 33%|███▎ | 523/1563 [45:21<1:34:35, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33275.])\n", + "total num of pts: tensor([12131., 8150., 3392., 1869., 1118., 6615.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.1443038433790207, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.041027192026376724, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004111464135348797, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.010118684731423855, 'redshifts/bias_bin_2': -0.0041073900647461414, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005000461242161691, 'redshifts/mse': 0.3125026524066925, 'redshifts/mse_bin_0': 0.43737509846687317, 'redshifts/mse_bin_1': 0.36716222763061523, 'redshifts/mse_bin_2': 0.2796117067337036, 'redshifts/mse_bin_3': 0.21703317761421204, 'redshifts/mse_bin_4': 0.22354336082935333, 'redshifts/mse_bin_5': 0.0750378966331482, 'redshifts/nmad': 0.11254429072141647, 'redshifts/nmad_bin_0': 0.2113717943429947, 'redshifts/nmad_bin_1': 0.13515208661556244, 'redshifts/nmad_bin_2': 0.08807925879955292, 'redshifts/nmad_bin_3': 0.07115674018859863, 'redshifts/nmad_bin_4': 0.0621742345392704, 'redshifts/nmad_bin_5': 0.03488937020301819, 'redshifts/outlier_fraction': 0.3268519937992096, 'redshifts/outlier_fraction_bin_0': 0.4870167374610901, 'redshifts/outlier_fraction_bin_1': 0.3564417064189911, 'redshifts/outlier_fraction_bin_2': 0.25943395495414734, 'redshifts/outlier_fraction_bin_3': 0.19368647038936615, 'redshifts/outlier_fraction_bin_4': 0.19588550925254822, 'redshifts/outlier_fraction_bin_5': 0.09100528806447983, 'redshifts/outlier_fraction_cata': 0.08928625285625458, 'redshifts/outlier_fraction_cata_bin_0': 0.1319759339094162, 'redshifts/outlier_fraction_cata_bin_1': 0.10122699290513992, 'redshifts/outlier_fraction_cata_bin_2': 0.0766509398818016, 'redshifts/outlier_fraction_cata_bin_3': 0.060995183885097504, 'redshifts/outlier_fraction_cata_bin_4': 0.05366726219654083, 'redshifts/outlier_fraction_cata_bin_5': 0.01678004488348961}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▎ | 524/1563 [45:27<1:36:45, 5.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33327.])\n", + "total num of pts: tensor([12152., 8158., 3397., 1872., 1121., 6627.])\n", + "{'redshifts/bias_abs': 0.07589719444513321, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004090091213583946, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.009980503469705582, 'redshifts/bias_bin_2': -0.0041073900647461414, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005010862369090319, 'redshifts/mse': 0.3123171329498291, 'redshifts/mse_bin_0': 0.4372063875198364, 'redshifts/mse_bin_1': 0.3670605421066284, 'redshifts/mse_bin_2': 0.27925804257392883, 'redshifts/mse_bin_3': 0.21672742068767548, 'redshifts/mse_bin_4': 0.2229643017053604, 'redshifts/mse_bin_5': 0.07498187571763992, 'redshifts/nmad': 0.11252989619970322, 'redshifts/nmad_bin_0': 0.21139223873615265, 'redshifts/nmad_bin_1': 0.13519294559955597, 'redshifts/nmad_bin_2': 0.08807925879955292, 'redshifts/nmad_bin_3': 0.07074441760778427, 'redshifts/nmad_bin_4': 0.06225297600030899, 'redshifts/nmad_bin_5': 0.03491639345884323, 'redshifts/outlier_fraction': 0.32688209414482117, 'redshifts/outlier_fraction_bin_0': 0.48716261982917786, 'redshifts/outlier_fraction_bin_1': 0.3563373386859894, 'redshifts/outlier_fraction_bin_2': 0.25934648513793945, 'redshifts/outlier_fraction_bin_3': 0.19391025602817535, 'redshifts/outlier_fraction_bin_4': 0.19536128640174866, 'redshifts/outlier_fraction_bin_5': 0.09114229679107666, 'redshifts/outlier_fraction_cata': 0.08926696330308914, 'redshifts/outlier_fraction_cata_bin_0': 0.13199473917484283, 'redshifts/outlier_fraction_cata_bin_1': 0.1012503057718277, 'redshifts/outlier_fraction_cata_bin_2': 0.07653812319040298, 'redshifts/outlier_fraction_cata_bin_3': 0.06089743599295616, 'redshifts/outlier_fraction_cata_bin_4': 0.05352364107966423, 'redshifts/outlier_fraction_cata_bin_5': 0.016749659553170204}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▎ | 525/1563 [45:35<1:48:54, 6.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33388.])\n", + "total num of pts: tensor([12167., 8171., 3402., 1876., 1126., 6646.])\n", + "{'redshifts/bias_abs': 0.07582593709230423, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.041027192026376724, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.004063165280967951, 'redshifts/bias_bin_0': 0.029824024066329002, 'redshifts/bias_bin_1': 0.009980503469705582, 'redshifts/bias_bin_2': -0.004212297033518553, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005206465721130371, 'redshifts/mse': 0.31240323185920715, 'redshifts/mse_bin_0': 0.43801814317703247, 'redshifts/mse_bin_1': 0.36666691303253174, 'redshifts/mse_bin_2': 0.2790262997150421, 'redshifts/mse_bin_3': 0.21629352867603302, 'redshifts/mse_bin_4': 0.22200244665145874, 'redshifts/mse_bin_5': 0.07525552064180374, 'redshifts/nmad': 0.11246855556964874, 'redshifts/nmad_bin_0': 0.2114569991827011, 'redshifts/nmad_bin_1': 0.13519294559955597, 'redshifts/nmad_bin_2': 0.08826463669538498, 'redshifts/nmad_bin_3': 0.07074441760778427, 'redshifts/nmad_bin_4': 0.0621742345392704, 'redshifts/nmad_bin_5': 0.03491633012890816, 'redshifts/outlier_fraction': 0.32673415541648865, 'redshifts/outlier_fraction_bin_0': 0.4871373474597931, 'redshifts/outlier_fraction_bin_1': 0.35625994205474854, 'redshifts/outlier_fraction_bin_2': 0.25925925374031067, 'redshifts/outlier_fraction_bin_3': 0.19349680840969086, 'redshifts/outlier_fraction_bin_4': 0.19449378550052643, 'redshifts/outlier_fraction_bin_5': 0.09133313596248627, 'redshifts/outlier_fraction_cata': 0.08925362676382065, 'redshifts/outlier_fraction_cata_bin_0': 0.13216076791286469, 'redshifts/outlier_fraction_cata_bin_1': 0.10108921676874161, 'redshifts/outlier_fraction_cata_bin_2': 0.07642563432455063, 'redshifts/outlier_fraction_cata_bin_3': 0.06076759099960327, 'redshifts/outlier_fraction_cata_bin_4': 0.05328596755862236, 'redshifts/outlier_fraction_cata_bin_5': 0.01685224287211895}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▎ | 526/1563 [45:44<2:00:54, 7.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33434.])\n", + "total num of pts: tensor([12190., 8178., 3405., 1880., 1128., 6653.])\n", + "{'redshifts/bias_abs': 0.07585947215557098, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004040731117129326, 'redshifts/bias_bin_0': 0.029746893793344498, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.004088081885129213, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007862296886742115, 'redshifts/bias_bin_5': -0.000506325566675514, 'redshifts/mse': 0.31235700845718384, 'redshifts/mse_bin_0': 0.437984824180603, 'redshifts/mse_bin_1': 0.3663870096206665, 'redshifts/mse_bin_2': 0.27882617712020874, 'redshifts/mse_bin_3': 0.2159062922000885, 'redshifts/mse_bin_4': 0.22385062277317047, 'redshifts/mse_bin_5': 0.0751848891377449, 'redshifts/nmad': 0.1124698668718338, 'redshifts/nmad_bin_0': 0.2115427851676941, 'redshifts/nmad_bin_1': 0.13508062064647675, 'redshifts/nmad_bin_2': 0.08822084963321686, 'redshifts/nmad_bin_3': 0.0704672709107399, 'redshifts/nmad_bin_4': 0.06218322366476059, 'redshifts/nmad_bin_5': 0.03491269797086716, 'redshifts/outlier_fraction': 0.32670336961746216, 'redshifts/outlier_fraction_bin_0': 0.4870385527610779, 'redshifts/outlier_fraction_bin_1': 0.35619956254959106, 'redshifts/outlier_fraction_bin_2': 0.2593245208263397, 'redshifts/outlier_fraction_bin_3': 0.19308510422706604, 'redshifts/outlier_fraction_bin_4': 0.19503545761108398, 'redshifts/outlier_fraction_bin_5': 0.09123703837394714, 'redshifts/outlier_fraction_cata': 0.08925046026706696, 'redshifts/outlier_fraction_cata_bin_0': 0.13215750455856323, 'redshifts/outlier_fraction_cata_bin_1': 0.10100269317626953, 'redshifts/outlier_fraction_cata_bin_2': 0.07635829597711563, 'redshifts/outlier_fraction_cata_bin_3': 0.060638297349214554, 'redshifts/outlier_fraction_cata_bin_4': 0.05407801270484924, 'redshifts/outlier_fraction_cata_bin_5': 0.01683451049029827}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▎ | 527/1563 [45:49<1:54:07, 6.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33469.])\n", + "total num of pts: tensor([12199., 8183., 3408., 1884., 1129., 6666.])\n", + "{'redshifts/bias_abs': 0.07582245022058487, 'redshifts/bias_abs_bin_0': 0.1443038433790207, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004054218530654907, 'redshifts/bias_bin_0': 0.02979782596230507, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.004086791537702084, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005225210916250944, 'redshifts/mse': 0.31241393089294434, 'redshifts/mse_bin_0': 0.4384724497795105, 'redshifts/mse_bin_1': 0.36628711223602295, 'redshifts/mse_bin_2': 0.2791283428668976, 'redshifts/mse_bin_3': 0.21546338498592377, 'redshifts/mse_bin_4': 0.22365254163742065, 'redshifts/mse_bin_5': 0.07504399120807648, 'redshifts/nmad': 0.11245864629745483, 'redshifts/nmad_bin_0': 0.21149583160877228, 'redshifts/nmad_bin_1': 0.13515225052833557, 'redshifts/nmad_bin_2': 0.08822276443243027, 'redshifts/nmad_bin_3': 0.07029622048139572, 'redshifts/nmad_bin_4': 0.0621742345392704, 'redshifts/nmad_bin_5': 0.03488868474960327, 'redshifts/outlier_fraction': 0.32660073041915894, 'redshifts/outlier_fraction_bin_0': 0.4870890974998474, 'redshifts/outlier_fraction_bin_1': 0.3562263250350952, 'redshifts/outlier_fraction_bin_2': 0.2593896687030792, 'redshifts/outlier_fraction_bin_3': 0.1926751583814621, 'redshifts/outlier_fraction_bin_4': 0.1948627084493637, 'redshifts/outlier_fraction_bin_5': 0.09105910360813141, 'redshifts/outlier_fraction_cata': 0.08924676477909088, 'redshifts/outlier_fraction_cata_bin_0': 0.1322239488363266, 'redshifts/outlier_fraction_cata_bin_1': 0.10094097256660461, 'redshifts/outlier_fraction_cata_bin_2': 0.07658451050519943, 'redshifts/outlier_fraction_cata_bin_3': 0.06050955504179001, 'redshifts/outlier_fraction_cata_bin_4': 0.05403011664748192, 'redshifts/outlier_fraction_cata_bin_5': 0.016801679506897926}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 528/1563 [45:58<2:03:15, 7.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33519.])\n", + "total num of pts: tensor([12221., 8191., 3412., 1887., 1132., 6676.])\n", + "{'redshifts/bias_abs': 0.07587627321481705, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.041027192026376724, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004040731117129326, 'redshifts/bias_bin_0': 0.02966480143368244, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.00400532316416502, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005512110656127334, 'redshifts/mse': 0.3122599124908447, 'redshifts/mse_bin_0': 0.4383349120616913, 'redshifts/mse_bin_1': 0.36599040031433105, 'redshifts/mse_bin_2': 0.27886053919792175, 'redshifts/mse_bin_3': 0.21558935940265656, 'redshifts/mse_bin_4': 0.22367167472839355, 'redshifts/mse_bin_5': 0.07496321946382523, 'redshifts/nmad': 0.1124698668718338, 'redshifts/nmad_bin_0': 0.2116849273443222, 'redshifts/nmad_bin_1': 0.13508062064647675, 'redshifts/nmad_bin_2': 0.08826268464326859, 'redshifts/nmad_bin_3': 0.07028385251760483, 'redshifts/nmad_bin_4': 0.062163081020116806, 'redshifts/nmad_bin_5': 0.03491359204053879, 'redshifts/outlier_fraction': 0.32665055990219116, 'redshifts/outlier_fraction_bin_0': 0.48735782504081726, 'redshifts/outlier_fraction_bin_1': 0.35600048303604126, 'redshifts/outlier_fraction_bin_2': 0.25937867164611816, 'redshifts/outlier_fraction_bin_3': 0.19289878010749817, 'redshifts/outlier_fraction_bin_4': 0.1952296793460846, 'redshifts/outlier_fraction_bin_5': 0.09092270582914352, 'redshifts/outlier_fraction_cata': 0.08917330205440521, 'redshifts/outlier_fraction_cata_bin_0': 0.1321495771408081, 'redshifts/outlier_fraction_cata_bin_1': 0.10084238648414612, 'redshifts/outlier_fraction_cata_bin_2': 0.0764947235584259, 'redshifts/outlier_fraction_cata_bin_3': 0.06041335314512253, 'redshifts/outlier_fraction_cata_bin_4': 0.05388692393898964, 'redshifts/outlier_fraction_cata_bin_5': 0.016776513308286667}\n", + "total num of pts: tensor([33564.])\n", + "total num of pts: tensor([12237., 8203., 3418., 1889., 1135., 6682.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 529/1563 [46:05<2:04:10, 7.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004040731117129326, 'redshifts/bias_bin_0': 0.02966480143368244, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.004029902163892984, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005512110656127334, 'redshifts/mse': 0.3121124505996704, 'redshifts/mse_bin_0': 0.43808671832084656, 'redshifts/mse_bin_1': 0.36575090885162354, 'redshifts/mse_bin_2': 0.2791294753551483, 'redshifts/mse_bin_3': 0.21537324786186218, 'redshifts/mse_bin_4': 0.22310633957386017, 'redshifts/mse_bin_5': 0.07490427792072296, 'redshifts/nmad': 0.112493596971035, 'redshifts/nmad_bin_0': 0.2116849273443222, 'redshifts/nmad_bin_1': 0.13519428670406342, 'redshifts/nmad_bin_2': 0.08829912543296814, 'redshifts/nmad_bin_3': 0.07028385251760483, 'redshifts/nmad_bin_4': 0.0621742345392704, 'redshifts/nmad_bin_5': 0.03494501858949661, 'redshifts/outlier_fraction': 0.32671910524368286, 'redshifts/outlier_fraction_bin_0': 0.4874560832977295, 'redshifts/outlier_fraction_bin_1': 0.3562111556529999, 'redshifts/outlier_fraction_bin_2': 0.25950849056243896, 'redshifts/outlier_fraction_bin_3': 0.1926945447921753, 'redshifts/outlier_fraction_bin_4': 0.19471365213394165, 'redshifts/outlier_fraction_bin_5': 0.09084106236696243, 'redshifts/outlier_fraction_cata': 0.08914312720298767, 'redshifts/outlier_fraction_cata_bin_0': 0.1320585161447525, 'redshifts/outlier_fraction_cata_bin_1': 0.1008167713880539, 'redshifts/outlier_fraction_cata_bin_2': 0.07665301114320755, 'redshifts/outlier_fraction_cata_bin_3': 0.06034938991069794, 'redshifts/outlier_fraction_cata_bin_4': 0.053744494915008545, 'redshifts/outlier_fraction_cata_bin_5': 0.016761448234319687}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 530/1563 [46:12<2:01:41, 7.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33617.])\n", + "total num of pts: tensor([12260., 8221., 3420., 1892., 1136., 6688.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004056853242218494, 'redshifts/bias_bin_0': 0.029589658603072166, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.004029902163892984, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005512110656127334, 'redshifts/mse': 0.3122847080230713, 'redshifts/mse_bin_0': 0.43779388070106506, 'redshifts/mse_bin_1': 0.3658476173877716, 'redshifts/mse_bin_2': 0.2790006101131439, 'redshifts/mse_bin_3': 0.21716779470443726, 'redshifts/mse_bin_4': 0.22501662373542786, 'redshifts/mse_bin_5': 0.07512355595827103, 'redshifts/nmad': 0.11262524873018265, 'redshifts/nmad_bin_0': 0.2117963433265686, 'redshifts/nmad_bin_1': 0.13537590205669403, 'redshifts/nmad_bin_2': 0.08830710500478745, 'redshifts/nmad_bin_3': 0.07028385251760483, 'redshifts/nmad_bin_4': 0.0621742345392704, 'redshifts/nmad_bin_5': 0.03495722636580467, 'redshifts/outlier_fraction': 0.3269179165363312, 'redshifts/outlier_fraction_bin_0': 0.487438827753067, 'redshifts/outlier_fraction_bin_1': 0.3565259575843811, 'redshifts/outlier_fraction_bin_2': 0.2596491277217865, 'redshifts/outlier_fraction_bin_3': 0.19291754066944122, 'redshifts/outlier_fraction_bin_4': 0.19542253017425537, 'redshifts/outlier_fraction_bin_5': 0.09090909361839294, 'redshifts/outlier_fraction_cata': 0.08924056589603424, 'redshifts/outlier_fraction_cata_bin_0': 0.13197389245033264, 'redshifts/outlier_fraction_cata_bin_1': 0.10096095502376556, 'redshifts/outlier_fraction_cata_bin_2': 0.07660818845033646, 'redshifts/outlier_fraction_cata_bin_3': 0.06078224256634712, 'redshifts/outlier_fraction_cata_bin_4': 0.05457746610045433, 'redshifts/outlier_fraction_cata_bin_5': 0.01689593307673931}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 531/1563 [46:20<2:06:02, 7.33s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33688.])\n", + "total num of pts: tensor([12280., 8243., 3425., 1897., 1137., 6706.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.0040602367371320724, 'redshifts/bias_bin_0': 0.02957100048661232, 'redshifts/bias_bin_1': 0.009980503469705582, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005206465721130371, 'redshifts/mse': 0.312154620885849, 'redshifts/mse_bin_0': 0.43826690316200256, 'redshifts/mse_bin_1': 0.36518967151641846, 'redshifts/mse_bin_2': 0.27860933542251587, 'redshifts/mse_bin_3': 0.21678240597248077, 'redshifts/mse_bin_4': 0.22482356429100037, 'redshifts/mse_bin_5': 0.07494958490133286, 'redshifts/nmad': 0.11252251267433167, 'redshifts/nmad_bin_0': 0.21195843815803528, 'redshifts/nmad_bin_1': 0.1353326290845871, 'redshifts/nmad_bin_2': 0.08832111209630966, 'redshifts/nmad_bin_3': 0.07101858407258987, 'redshifts/nmad_bin_4': 0.0621742345392704, 'redshifts/nmad_bin_5': 0.034969598054885864, 'redshifts/outlier_fraction': 0.32676324248313904, 'redshifts/outlier_fraction_bin_0': 0.487459272146225, 'redshifts/outlier_fraction_bin_1': 0.35642364621162415, 'redshifts/outlier_fraction_bin_2': 0.2592700719833374, 'redshifts/outlier_fraction_bin_3': 0.19240906834602356, 'redshifts/outlier_fraction_bin_4': 0.19525066018104553, 'redshifts/outlier_fraction_bin_5': 0.09081419557332993, 'redshifts/outlier_fraction_cata': 0.0892602726817131, 'redshifts/outlier_fraction_cata_bin_0': 0.13232898712158203, 'redshifts/outlier_fraction_cata_bin_1': 0.10069149732589722, 'redshifts/outlier_fraction_cata_bin_2': 0.07649634778499603, 'redshifts/outlier_fraction_cata_bin_3': 0.06062203645706177, 'redshifts/outlier_fraction_cata_bin_4': 0.05452946200966835, 'redshifts/outlier_fraction_cata_bin_5': 0.016850581392645836}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 532/1563 [46:28<2:11:07, 7.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33744.])\n", + "total num of pts: tensor([12299., 8258., 3429., 1901., 1139., 6718.])\n", + "{'redshifts/bias_abs': 0.07599033415317535, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004054218530654907, 'redshifts/bias_bin_0': 0.029546571895480156, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.000506325566675514, 'redshifts/mse': 0.3122842311859131, 'redshifts/mse_bin_0': 0.4381115138530731, 'redshifts/mse_bin_1': 0.36534181237220764, 'redshifts/mse_bin_2': 0.27948665618896484, 'redshifts/mse_bin_3': 0.2186490148305893, 'redshifts/mse_bin_4': 0.22445030510425568, 'redshifts/mse_bin_5': 0.07483677566051483, 'redshifts/nmad': 0.11265730112791061, 'redshifts/nmad_bin_0': 0.21201291680335999, 'redshifts/nmad_bin_1': 0.13537590205669403, 'redshifts/nmad_bin_2': 0.08832111209630966, 'redshifts/nmad_bin_3': 0.07107573747634888, 'redshifts/nmad_bin_4': 0.0621742345392704, 'redshifts/nmad_bin_5': 0.0349707305431366, 'redshifts/outlier_fraction': 0.3268432915210724, 'redshifts/outlier_fraction_bin_0': 0.48743799328804016, 'redshifts/outlier_fraction_bin_1': 0.3567449748516083, 'redshifts/outlier_fraction_bin_2': 0.25925925374031067, 'redshifts/outlier_fraction_bin_3': 0.19305628538131714, 'redshifts/outlier_fraction_bin_4': 0.19490781426429749, 'redshifts/outlier_fraction_bin_5': 0.09080083668231964, 'redshifts/outlier_fraction_cata': 0.08931957930326462, 'redshifts/outlier_fraction_cata_bin_0': 0.1322871744632721, 'redshifts/outlier_fraction_cata_bin_1': 0.10075078904628754, 'redshifts/outlier_fraction_cata_bin_2': 0.07669874280691147, 'redshifts/outlier_fraction_cata_bin_3': 0.061546552926301956, 'redshifts/outlier_fraction_cata_bin_4': 0.05443371459841728, 'redshifts/outlier_fraction_cata_bin_5': 0.016820482909679413}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 533/1563 [46:34<2:04:17, 7.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33815.])\n", + "total num of pts: tensor([12332., 8276., 3434., 1903., 1141., 6729.])\n", + "{'redshifts/bias_abs': 0.07598846405744553, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004060894250869751, 'redshifts/bias_bin_0': 0.029589658603072166, 'redshifts/bias_bin_1': 0.009866350330412388, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.007862296886742115, 'redshifts/bias_bin_5': -0.000506325566675514, 'redshifts/mse': 0.3120974898338318, 'redshifts/mse_bin_0': 0.43805721402168274, 'redshifts/mse_bin_1': 0.36474642157554626, 'redshifts/mse_bin_2': 0.2790992558002472, 'redshifts/mse_bin_3': 0.21845567226409912, 'redshifts/mse_bin_4': 0.22409453988075256, 'redshifts/mse_bin_5': 0.07475025951862335, 'redshifts/nmad': 0.1126428171992302, 'redshifts/nmad_bin_0': 0.21201637387275696, 'redshifts/nmad_bin_1': 0.13512133061885834, 'redshifts/nmad_bin_2': 0.08818148076534271, 'redshifts/nmad_bin_3': 0.07107573747634888, 'redshifts/nmad_bin_4': 0.06218322366476059, 'redshifts/nmad_bin_5': 0.034989334642887115, 'redshifts/outlier_fraction': 0.3268667757511139, 'redshifts/outlier_fraction_bin_0': 0.48759326338768005, 'redshifts/outlier_fraction_bin_1': 0.356573224067688, 'redshifts/outlier_fraction_bin_2': 0.2588817775249481, 'redshifts/outlier_fraction_bin_3': 0.1928533911705017, 'redshifts/outlier_fraction_bin_4': 0.19456617534160614, 'redshifts/outlier_fraction_bin_5': 0.09080100804567337, 'redshifts/outlier_fraction_cata': 0.089279904961586, 'redshifts/outlier_fraction_cata_bin_0': 0.13233862817287445, 'redshifts/outlier_fraction_cata_bin_1': 0.10053166002035141, 'redshifts/outlier_fraction_cata_bin_2': 0.07658707350492477, 'redshifts/outlier_fraction_cata_bin_3': 0.06148187071084976, 'redshifts/outlier_fraction_cata_bin_4': 0.05433829873800278, 'redshifts/outlier_fraction_cata_bin_5': 0.016792984679341316}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 534/1563 [46:40<1:55:35, 6.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33871.])\n", + "total num of pts: tensor([12348., 8287., 3441., 1907., 1144., 6744.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.041027192026376724, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.029546571895480156, 'redshifts/bias_bin_1': 0.009842272847890854, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005010862369090319, 'redshifts/mse': 0.3122459352016449, 'redshifts/mse_bin_0': 0.43792158365249634, 'redshifts/mse_bin_1': 0.36543506383895874, 'redshifts/mse_bin_2': 0.28042885661125183, 'redshifts/mse_bin_3': 0.2180335372686386, 'redshifts/mse_bin_4': 0.2235127091407776, 'redshifts/mse_bin_5': 0.07470965385437012, 'redshifts/nmad': 0.11257918179035187, 'redshifts/nmad_bin_0': 0.21201291680335999, 'redshifts/nmad_bin_1': 0.13514722883701324, 'redshifts/nmad_bin_2': 0.08844105154275894, 'redshifts/nmad_bin_3': 0.07115674018859863, 'redshifts/nmad_bin_4': 0.062163081020116806, 'redshifts/nmad_bin_5': 0.03497849777340889, 'redshifts/outlier_fraction': 0.32671016454696655, 'redshifts/outlier_fraction_bin_0': 0.48736637830734253, 'redshifts/outlier_fraction_bin_1': 0.3567032814025879, 'redshifts/outlier_fraction_bin_2': 0.2586457431316376, 'redshifts/outlier_fraction_bin_3': 0.19244886934757233, 'redshifts/outlier_fraction_bin_4': 0.1940559446811676, 'redshifts/outlier_fraction_bin_5': 0.09089560806751251, 'redshifts/outlier_fraction_cata': 0.0893094390630722, 'redshifts/outlier_fraction_cata_bin_0': 0.13232912123203278, 'redshifts/outlier_fraction_cata_bin_1': 0.10076022893190384, 'redshifts/outlier_fraction_cata_bin_2': 0.07672188431024551, 'redshifts/outlier_fraction_cata_bin_3': 0.06135290861129761, 'redshifts/outlier_fraction_cata_bin_4': 0.05419580265879631, 'redshifts/outlier_fraction_cata_bin_5': 0.016755634918808937}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 535/1563 [46:48<1:59:43, 6.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33926.])\n", + "total num of pts: tensor([12366., 8309., 3446., 1910., 1145., 6750.])\n", + "{'redshifts/bias_abs': 0.07598108798265457, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004080861806869507, 'redshifts/bias_bin_0': 0.029546571895480156, 'redshifts/bias_bin_1': 0.009866350330412388, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0004972534370608628, 'redshifts/mse': 0.31216904520988464, 'redshifts/mse_bin_0': 0.43778109550476074, 'redshifts/mse_bin_1': 0.3653700649738312, 'redshifts/mse_bin_2': 0.28009089827537537, 'redshifts/mse_bin_3': 0.21793566644191742, 'redshifts/mse_bin_4': 0.2233700007200241, 'redshifts/mse_bin_5': 0.07466673105955124, 'redshifts/nmad': 0.11258965730667114, 'redshifts/nmad_bin_0': 0.21201291680335999, 'redshifts/nmad_bin_1': 0.13516338169574738, 'redshifts/nmad_bin_2': 0.0883014127612114, 'redshifts/nmad_bin_3': 0.07074441760778427, 'redshifts/nmad_bin_4': 0.0621742345392704, 'redshifts/nmad_bin_5': 0.034984178841114044, 'redshifts/outlier_fraction': 0.32677003741264343, 'redshifts/outlier_fraction_bin_0': 0.4873039126396179, 'redshifts/outlier_fraction_bin_1': 0.3567216396331787, 'redshifts/outlier_fraction_bin_2': 0.2585606575012207, 'redshifts/outlier_fraction_bin_3': 0.19267015159130096, 'redshifts/outlier_fraction_bin_4': 0.19475983083248138, 'redshifts/outlier_fraction_bin_5': 0.0909629613161087, 'redshifts/outlier_fraction_cata': 0.08925308287143707, 'redshifts/outlier_fraction_cata_bin_0': 0.13229823112487793, 'redshifts/outlier_fraction_cata_bin_1': 0.1006137952208519, 'redshifts/outlier_fraction_cata_bin_2': 0.07661056518554688, 'redshifts/outlier_fraction_cata_bin_3': 0.061256542801856995, 'redshifts/outlier_fraction_cata_bin_4': 0.05414847284555435, 'redshifts/outlier_fraction_cata_bin_5': 0.016740741208195686}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 536/1563 [46:55<2:01:22, 7.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([33990.])\n", + "total num of pts: tensor([12389., 8330., 3451., 1914., 1147., 6759.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004056853242218494, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.009866350330412388, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0005010862369090319, 'redshifts/mse': 0.31213346123695374, 'redshifts/mse_bin_0': 0.43765950202941895, 'redshifts/mse_bin_1': 0.3650735318660736, 'redshifts/mse_bin_2': 0.2797243893146515, 'redshifts/mse_bin_3': 0.21755529940128326, 'redshifts/mse_bin_4': 0.2230031043291092, 'redshifts/mse_bin_5': 0.07526242733001709, 'redshifts/nmad': 0.11262524873018265, 'redshifts/nmad_bin_0': 0.212101012468338, 'redshifts/nmad_bin_1': 0.13503016531467438, 'redshifts/nmad_bin_2': 0.08825309574604034, 'redshifts/nmad_bin_3': 0.07086052745580673, 'redshifts/nmad_bin_4': 0.06225600838661194, 'redshifts/nmad_bin_5': 0.03498157113790512, 'redshifts/outlier_fraction': 0.32680201530456543, 'redshifts/outlier_fraction_bin_0': 0.4873678386211395, 'redshifts/outlier_fraction_bin_1': 0.3565426170825958, 'redshifts/outlier_fraction_bin_2': 0.25847581028938293, 'redshifts/outlier_fraction_bin_3': 0.19331243634223938, 'redshifts/outlier_fraction_bin_4': 0.1944202333688736, 'redshifts/outlier_fraction_bin_5': 0.09098979085683823, 'redshifts/outlier_fraction_cata': 0.08926154673099518, 'redshifts/outlier_fraction_cata_bin_0': 0.13229477405548096, 'redshifts/outlier_fraction_cata_bin_1': 0.1006002426147461, 'redshifts/outlier_fraction_cata_bin_2': 0.0764995664358139, 'redshifts/outlier_fraction_cata_bin_3': 0.06112852692604065, 'redshifts/outlier_fraction_cata_bin_4': 0.054054055362939835, 'redshifts/outlier_fraction_cata_bin_5': 0.016866400837898254}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 537/1563 [46:59<1:48:28, 6.34s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34039.])\n", + "total num of pts: tensor([12409., 8340., 3454., 1917., 1150., 6769.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004040731117129326, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.009842272847890854, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005206465721130371, 'redshifts/mse': 0.31224972009658813, 'redshifts/mse_bin_0': 0.43738245964050293, 'redshifts/mse_bin_1': 0.36501333117485046, 'redshifts/mse_bin_2': 0.28047943115234375, 'redshifts/mse_bin_3': 0.21722334623336792, 'redshifts/mse_bin_4': 0.22876819968223572, 'redshifts/mse_bin_5': 0.07515507191419601, 'redshifts/nmad': 0.11264194548130035, 'redshifts/nmad_bin_0': 0.212142214179039, 'redshifts/nmad_bin_1': 0.1349879801273346, 'redshifts/nmad_bin_2': 0.08826816082000732, 'redshifts/nmad_bin_3': 0.0707634836435318, 'redshifts/nmad_bin_4': 0.06256187707185745, 'redshifts/nmad_bin_5': 0.034969598054885864, 'redshifts/outlier_fraction': 0.3268897533416748, 'redshifts/outlier_fraction_bin_0': 0.48771053552627563, 'redshifts/outlier_fraction_bin_1': 0.3564748167991638, 'redshifts/outlier_fraction_bin_2': 0.2585408091545105, 'redshifts/outlier_fraction_bin_3': 0.19300991296768188, 'redshifts/outlier_fraction_bin_4': 0.19478261470794678, 'redshifts/outlier_fraction_bin_5': 0.09085536748170853, 'redshifts/outlier_fraction_cata': 0.08922118693590164, 'redshifts/outlier_fraction_cata_bin_0': 0.1320815533399582, 'redshifts/outlier_fraction_cata_bin_1': 0.10059951990842819, 'redshifts/outlier_fraction_cata_bin_2': 0.0767226368188858, 'redshifts/outlier_fraction_cata_bin_3': 0.061032865196466446, 'redshifts/outlier_fraction_cata_bin_4': 0.05478261038661003, 'redshifts/outlier_fraction_cata_bin_5': 0.016841482371091843}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 538/1563 [47:07<1:53:46, 6.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34092.])\n", + "total num of pts: tensor([12434., 8353., 3459., 1918., 1151., 6777.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004050176125019789, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.00974117312580347, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0005010862369090319, 'redshifts/mse': 0.31224679946899414, 'redshifts/mse_bin_0': 0.4370931386947632, 'redshifts/mse_bin_1': 0.36515456438064575, 'redshifts/mse_bin_2': 0.28082603216171265, 'redshifts/mse_bin_3': 0.21711018681526184, 'redshifts/mse_bin_4': 0.2285696566104889, 'redshifts/mse_bin_5': 0.075152687728405, 'redshifts/nmad': 0.11267895251512527, 'redshifts/nmad_bin_0': 0.2121848315000534, 'redshifts/nmad_bin_1': 0.13498643040657043, 'redshifts/nmad_bin_2': 0.08832821995019913, 'redshifts/nmad_bin_3': 0.07073502987623215, 'redshifts/nmad_bin_4': 0.0625649020075798, 'redshifts/nmad_bin_5': 0.03498157113790512, 'redshifts/outlier_fraction': 0.3270268738269806, 'redshifts/outlier_fraction_bin_0': 0.48769503831863403, 'redshifts/outlier_fraction_bin_1': 0.3566383421421051, 'redshifts/outlier_fraction_bin_2': 0.25874531269073486, 'redshifts/outlier_fraction_bin_3': 0.19290928542613983, 'redshifts/outlier_fraction_bin_4': 0.19461338222026825, 'redshifts/outlier_fraction_bin_5': 0.09104323387145996, 'redshifts/outlier_fraction_cata': 0.08922914415597916, 'redshifts/outlier_fraction_cata_bin_0': 0.13189640641212463, 'redshifts/outlier_fraction_cata_bin_1': 0.10068239271640778, 'redshifts/outlier_fraction_cata_bin_2': 0.07718993723392487, 'redshifts/outlier_fraction_cata_bin_3': 0.061001043766736984, 'redshifts/outlier_fraction_cata_bin_4': 0.05473501235246658, 'redshifts/outlier_fraction_cata_bin_5': 0.0168216023594141}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 34%|███▍ | 539/1563 [47:13<1:49:46, 6.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34143.])\n", + "total num of pts: tensor([12449., 8360., 3469., 1923., 1153., 6789.])\n", + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004015359561890364, 'redshifts/bias_bin_0': 0.029546571895480156, 'redshifts/bias_bin_1': 0.009718556888401508, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.000506325566675514, 'redshifts/mse': 0.31223705410957336, 'redshifts/mse_bin_0': 0.4374332129955292, 'redshifts/mse_bin_1': 0.3649372458457947, 'redshifts/mse_bin_2': 0.28081709146499634, 'redshifts/mse_bin_3': 0.21693825721740723, 'redshifts/mse_bin_4': 0.22817334532737732, 'redshifts/mse_bin_5': 0.07509788870811462, 'redshifts/nmad': 0.11265332251787186, 'redshifts/nmad_bin_0': 0.21219219267368317, 'redshifts/nmad_bin_1': 0.13501004874706268, 'redshifts/nmad_bin_2': 0.08835580199956894, 'redshifts/nmad_bin_3': 0.07066937536001205, 'redshifts/nmad_bin_4': 0.06225600838661194, 'redshifts/nmad_bin_5': 0.0349707305431366, 'redshifts/outlier_fraction': 0.3270948529243469, 'redshifts/outlier_fraction_bin_0': 0.48775002360343933, 'redshifts/outlier_fraction_bin_1': 0.35669857263565063, 'redshifts/outlier_fraction_bin_2': 0.25886422395706177, 'redshifts/outlier_fraction_bin_3': 0.19344773888587952, 'redshifts/outlier_fraction_bin_4': 0.19427579641342163, 'redshifts/outlier_fraction_bin_5': 0.09132420271635056, 'redshifts/outlier_fraction_cata': 0.08927159011363983, 'redshifts/outlier_fraction_cata_bin_0': 0.13205879926681519, 'redshifts/outlier_fraction_cata_bin_1': 0.10059808939695358, 'redshifts/outlier_fraction_cata_bin_2': 0.0775439590215683, 'redshifts/outlier_fraction_cata_bin_3': 0.06084243208169937, 'redshifts/outlier_fraction_cata_bin_4': 0.05464006960391998, 'redshifts/outlier_fraction_cata_bin_5': 0.016791868954896927}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▍ | 540/1563 [47:19<1:47:00, 6.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34206.])\n", + "total num of pts: tensor([12475., 8374., 3474., 1928., 1155., 6800.])\n", + "{'redshifts/bias_abs': 0.07598846405744553, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004040731117129326, 'redshifts/bias_bin_0': 0.029546571895480156, 'redshifts/bias_bin_1': 0.009572970680892467, 'redshifts/bias_bin_2': -0.00400532316416502, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0005010862369090319, 'redshifts/mse': 0.31226667761802673, 'redshifts/mse_bin_0': 0.4370318055152893, 'redshifts/mse_bin_1': 0.3659895062446594, 'redshifts/mse_bin_2': 0.2804284393787384, 'redshifts/mse_bin_3': 0.21645161509513855, 'redshifts/mse_bin_4': 0.2277839630842209, 'redshifts/mse_bin_5': 0.07500409334897995, 'redshifts/nmad': 0.11265692859888077, 'redshifts/nmad_bin_0': 0.21214692294597626, 'redshifts/nmad_bin_1': 0.13490334153175354, 'redshifts/nmad_bin_2': 0.08826268464326859, 'redshifts/nmad_bin_3': 0.07050084322690964, 'redshifts/nmad_bin_4': 0.06251002103090286, 'redshifts/nmad_bin_5': 0.03497849777340889, 'redshifts/outlier_fraction': 0.3270478844642639, 'redshifts/outlier_fraction_bin_0': 0.4876953959465027, 'redshifts/outlier_fraction_bin_1': 0.3566993176937103, 'redshifts/outlier_fraction_bin_2': 0.2584916651248932, 'redshifts/outlier_fraction_bin_3': 0.19294606149196625, 'redshifts/outlier_fraction_bin_4': 0.19393938779830933, 'redshifts/outlier_fraction_bin_5': 0.09147059172391891, 'redshifts/outlier_fraction_cata': 0.08925334364175797, 'redshifts/outlier_fraction_cata_bin_0': 0.13194388151168823, 'redshifts/outlier_fraction_cata_bin_1': 0.10078815370798111, 'redshifts/outlier_fraction_cata_bin_2': 0.07743235677480698, 'redshifts/outlier_fraction_cata_bin_3': 0.06068464741110802, 'redshifts/outlier_fraction_cata_bin_4': 0.05454545468091965, 'redshifts/outlier_fraction_cata_bin_5': 0.016764706000685692}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▍ | 541/1563 [47:26<1:53:50, 6.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34260.])\n", + "total num of pts: tensor([12499., 8384., 3483., 1931., 1156., 6807.])\n", + "{'redshifts/bias_abs': 0.07598846405744553, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004034087993204594, 'redshifts/bias_bin_0': 0.029499588534235954, 'redshifts/bias_bin_1': 0.00956218596547842, 'redshifts/bias_bin_2': -0.00400532316416502, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0005000461242161691, 'redshifts/mse': 0.31231093406677246, 'redshifts/mse_bin_0': 0.43689456582069397, 'redshifts/mse_bin_1': 0.36595648527145386, 'redshifts/mse_bin_2': 0.281379759311676, 'redshifts/mse_bin_3': 0.21630461513996124, 'redshifts/mse_bin_4': 0.2275877445936203, 'redshifts/mse_bin_5': 0.07492996007204056, 'redshifts/nmad': 0.11265654116868973, 'redshifts/nmad_bin_0': 0.21223047375679016, 'redshifts/nmad_bin_1': 0.13488861918449402, 'redshifts/nmad_bin_2': 0.088343545794487, 'redshifts/nmad_bin_3': 0.07073502987623215, 'redshifts/nmad_bin_4': 0.06245194748044014, 'redshifts/nmad_bin_5': 0.03494687378406525, 'redshifts/outlier_fraction': 0.32714536786079407, 'redshifts/outlier_fraction_bin_0': 0.48795902729034424, 'redshifts/outlier_fraction_bin_1': 0.3565123975276947, 'redshifts/outlier_fraction_bin_2': 0.25868505239486694, 'redshifts/outlier_fraction_bin_3': 0.1931641697883606, 'redshifts/outlier_fraction_bin_4': 0.193771630525589, 'redshifts/outlier_fraction_bin_5': 0.09137652069330215, 'redshifts/outlier_fraction_cata': 0.08922941982746124, 'redshifts/outlier_fraction_cata_bin_0': 0.13185054063796997, 'redshifts/outlier_fraction_cata_bin_1': 0.1007872149348259, 'redshifts/outlier_fraction_cata_bin_2': 0.07751937955617905, 'redshifts/outlier_fraction_cata_bin_3': 0.06059036776423454, 'redshifts/outlier_fraction_cata_bin_4': 0.05449827015399933, 'redshifts/outlier_fraction_cata_bin_5': 0.01674746535718441}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▍ | 542/1563 [47:32<1:49:08, 6.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34323.])\n", + "total num of pts: tensor([12529., 8392., 3488., 1934., 1160., 6820.])\n", + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004009520169347525, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.00974117312580347, 'redshifts/bias_bin_2': -0.004086791537702084, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0005000461242161691, 'redshifts/mse': 0.3121982216835022, 'redshifts/mse_bin_0': 0.4369049370288849, 'redshifts/mse_bin_1': 0.3656814694404602, 'redshifts/mse_bin_2': 0.28141048550605774, 'redshifts/mse_bin_3': 0.21600766479969025, 'redshifts/mse_bin_4': 0.22689393162727356, 'redshifts/mse_bin_5': 0.07482464611530304, 'redshifts/nmad': 0.11259286850690842, 'redshifts/nmad_bin_0': 0.21235091984272003, 'redshifts/nmad_bin_1': 0.13482153415679932, 'redshifts/nmad_bin_2': 0.08838347345590591, 'redshifts/nmad_bin_3': 0.07050084322690964, 'redshifts/nmad_bin_4': 0.06250922381877899, 'redshifts/nmad_bin_5': 0.03498002514243126, 'redshifts/outlier_fraction': 0.3271567225456238, 'redshifts/outlier_fraction_bin_0': 0.4879878759384155, 'redshifts/outlier_fraction_bin_1': 0.3562917113304138, 'redshifts/outlier_fraction_bin_2': 0.2588876187801361, 'redshifts/outlier_fraction_bin_3': 0.19338159263134003, 'redshifts/outlier_fraction_bin_4': 0.19396552443504333, 'redshifts/outlier_fraction_bin_5': 0.09134897589683533, 'redshifts/outlier_fraction_cata': 0.08921131491661072, 'redshifts/outlier_fraction_cata_bin_0': 0.1318541020154953, 'redshifts/outlier_fraction_cata_bin_1': 0.10069113224744797, 'redshifts/outlier_fraction_cata_bin_2': 0.07769495248794556, 'redshifts/outlier_fraction_cata_bin_3': 0.06049638241529465, 'redshifts/outlier_fraction_cata_bin_4': 0.05431034415960312, 'redshifts/outlier_fraction_cata_bin_5': 0.01671554334461689}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▍ | 543/1563 [47:38<1:45:31, 6.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34375.])\n", + "total num of pts: tensor([12546., 8403., 3493., 1937., 1161., 6835.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004056193865835667, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.009791618213057518, 'redshifts/bias_bin_2': -0.004029902163892984, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007526949979364872, 'redshifts/bias_bin_5': -0.0004891139687970281, 'redshifts/mse': 0.31205618381500244, 'redshifts/mse_bin_0': 0.4369898736476898, 'redshifts/mse_bin_1': 0.3653959035873413, 'redshifts/mse_bin_2': 0.2810567617416382, 'redshifts/mse_bin_3': 0.2157546728849411, 'redshifts/mse_bin_4': 0.2269531637430191, 'redshifts/mse_bin_5': 0.0747499093413353, 'redshifts/nmad': 0.11263585090637207, 'redshifts/nmad_bin_0': 0.21231484413146973, 'redshifts/nmad_bin_1': 0.1348934918642044, 'redshifts/nmad_bin_2': 0.08848278224468231, 'redshifts/nmad_bin_3': 0.07061201333999634, 'redshifts/nmad_bin_4': 0.06252701580524445, 'redshifts/nmad_bin_5': 0.034963082522153854, 'redshifts/outlier_fraction': 0.3272145390510559, 'redshifts/outlier_fraction_bin_0': 0.48804399371147156, 'redshifts/outlier_fraction_bin_1': 0.3564203381538391, 'redshifts/outlier_fraction_bin_2': 0.2588033080101013, 'redshifts/outlier_fraction_bin_3': 0.19359834492206573, 'redshifts/outlier_fraction_bin_4': 0.1946597695350647, 'redshifts/outlier_fraction_bin_5': 0.09144110977649689, 'redshifts/outlier_fraction_cata': 0.089163638651371, 'redshifts/outlier_fraction_cata_bin_0': 0.13191455602645874, 'redshifts/outlier_fraction_cata_bin_1': 0.10055932402610779, 'redshifts/outlier_fraction_cata_bin_2': 0.07758373767137527, 'redshifts/outlier_fraction_cata_bin_3': 0.06040268391370773, 'redshifts/outlier_fraction_cata_bin_4': 0.05426356568932533, 'redshifts/outlier_fraction_cata_bin_5': 0.016678858548402786}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▍ | 544/1563 [47:45<1:50:27, 6.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34440.])\n", + "total num of pts: tensor([12573., 8416., 3498., 1941., 1162., 6850.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004056853242218494, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.009718556888401508, 'redshifts/bias_bin_2': -0.004029902163892984, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0004910528659820557, 'redshifts/mse': 0.3121989071369171, 'redshifts/mse_bin_0': 0.4373930096626282, 'redshifts/mse_bin_1': 0.36580905318260193, 'redshifts/mse_bin_2': 0.2806564271450043, 'redshifts/mse_bin_3': 0.21531882882118225, 'redshifts/mse_bin_4': 0.22676485776901245, 'redshifts/mse_bin_5': 0.07459705322980881, 'redshifts/nmad': 0.11252269148826599, 'redshifts/nmad_bin_0': 0.21239399909973145, 'redshifts/nmad_bin_1': 0.13480457663536072, 'redshifts/nmad_bin_2': 0.08829912543296814, 'redshifts/nmad_bin_3': 0.07001347839832306, 'redshifts/nmad_bin_4': 0.06250922381877899, 'redshifts/nmad_bin_5': 0.034901514649391174, 'redshifts/outlier_fraction': 0.32720673084259033, 'redshifts/outlier_fraction_bin_0': 0.48826852440834045, 'redshifts/outlier_fraction_bin_1': 0.35646387934684753, 'redshifts/outlier_fraction_bin_2': 0.25843340158462524, 'redshifts/outlier_fraction_bin_3': 0.19319938123226166, 'redshifts/outlier_fraction_bin_4': 0.19449225068092346, 'redshifts/outlier_fraction_bin_5': 0.09124087542295456, 'redshifts/outlier_fraction_cata': 0.08919860422611237, 'redshifts/outlier_fraction_cata_bin_0': 0.1320289522409439, 'redshifts/outlier_fraction_cata_bin_1': 0.1006416380405426, 'redshifts/outlier_fraction_cata_bin_2': 0.07747284322977066, 'redshifts/outlier_fraction_cata_bin_3': 0.06027820706367493, 'redshifts/outlier_fraction_cata_bin_4': 0.05421686917543411, 'redshifts/outlier_fraction_cata_bin_5': 0.016642335802316666}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▍ | 545/1563 [47:49<1:39:39, 5.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34501.])\n", + "total num of pts: tensor([12600., 8426., 3503., 1944., 1163., 6865.])\n", + "{'redshifts/bias_abs': 0.07583078742027283, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004040731117129326, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.00974117312580347, 'redshifts/bias_bin_2': -0.004086791537702084, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0004891139687970281, 'redshifts/mse': 0.312050998210907, 'redshifts/mse_bin_0': 0.4371036887168884, 'redshifts/mse_bin_1': 0.36567413806915283, 'redshifts/mse_bin_2': 0.28026753664016724, 'redshifts/mse_bin_3': 0.21514792740345, 'redshifts/mse_bin_4': 0.22658373415470123, 'redshifts/mse_bin_5': 0.07485385984182358, 'redshifts/nmad': 0.11246626824140549, 'redshifts/nmad_bin_0': 0.21227435767650604, 'redshifts/nmad_bin_1': 0.13487675786018372, 'redshifts/nmad_bin_2': 0.0880785584449768, 'redshifts/nmad_bin_3': 0.07021550834178925, 'redshifts/nmad_bin_4': 0.06250922381877899, 'redshifts/nmad_bin_5': 0.03487316146492958, 'redshifts/outlier_fraction': 0.32694703340530396, 'redshifts/outlier_fraction_bin_0': 0.48769840598106384, 'redshifts/outlier_fraction_bin_1': 0.3563968539237976, 'redshifts/outlier_fraction_bin_2': 0.25806450843811035, 'redshifts/outlier_fraction_bin_3': 0.19341564178466797, 'redshifts/outlier_fraction_bin_4': 0.1943250149488449, 'redshifts/outlier_fraction_bin_5': 0.09118717908859253, 'redshifts/outlier_fraction_cata': 0.08915683627128601, 'redshifts/outlier_fraction_cata_bin_0': 0.13190476596355438, 'redshifts/outlier_fraction_cata_bin_1': 0.10064087063074112, 'redshifts/outlier_fraction_cata_bin_2': 0.07736226171255112, 'redshifts/outlier_fraction_cata_bin_3': 0.06018518656492233, 'redshifts/outlier_fraction_cata_bin_4': 0.05417025089263916, 'redshifts/outlier_fraction_cata_bin_5': 0.016751639544963837}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▍ | 546/1563 [47:55<1:38:14, 5.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34555.])\n", + "total num of pts: tensor([12622., 8435., 3512., 1948., 1167., 6871.])\n", + "{'redshifts/bias_abs': 0.0758892372250557, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.004054218530654907, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.00974117312580347, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0004891139687970281, 'redshifts/mse': 0.31222984194755554, 'redshifts/mse_bin_0': 0.43712908029556274, 'redshifts/mse_bin_1': 0.36627793312072754, 'redshifts/mse_bin_2': 0.2798387408256531, 'redshifts/mse_bin_3': 0.21496014297008514, 'redshifts/mse_bin_4': 0.22846947610378265, 'redshifts/mse_bin_5': 0.07480163872241974, 'redshifts/nmad': 0.11248986423015594, 'redshifts/nmad_bin_0': 0.21229112148284912, 'redshifts/nmad_bin_1': 0.13495586812496185, 'redshifts/nmad_bin_2': 0.08807340264320374, 'redshifts/nmad_bin_3': 0.07021550834178925, 'redshifts/nmad_bin_4': 0.06269252300262451, 'redshifts/nmad_bin_5': 0.034897081553936005, 'redshifts/outlier_fraction': 0.3271596133708954, 'redshifts/outlier_fraction_bin_0': 0.4877990782260895, 'redshifts/outlier_fraction_bin_1': 0.35660937428474426, 'redshifts/outlier_fraction_bin_2': 0.2582573890686035, 'redshifts/outlier_fraction_bin_3': 0.19404517114162445, 'redshifts/outlier_fraction_bin_4': 0.19537274539470673, 'redshifts/outlier_fraction_bin_5': 0.09125309437513351, 'redshifts/outlier_fraction_cata': 0.08924902230501175, 'redshifts/outlier_fraction_cata_bin_0': 0.13199175894260406, 'redshifts/outlier_fraction_cata_bin_1': 0.10088915377855301, 'redshifts/outlier_fraction_cata_bin_2': 0.07716400921344757, 'redshifts/outlier_fraction_cata_bin_3': 0.06006160005927086, 'redshifts/outlier_fraction_cata_bin_4': 0.05484147369861603, 'redshifts/outlier_fraction_cata_bin_5': 0.016737010329961777}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▍ | 547/1563 [48:08<2:13:21, 7.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34622.])\n", + "total num of pts: tensor([12644., 8450., 3517., 1951., 1171., 6889.])\n", + "{'redshifts/bias_abs': 0.07581742107868195, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.004050176125019789, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.009718556888401508, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0004972534370608628, 'redshifts/mse': 0.3121170401573181, 'redshifts/mse_bin_0': 0.4371354579925537, 'redshifts/mse_bin_1': 0.3664625287055969, 'redshifts/mse_bin_2': 0.2794483006000519, 'redshifts/mse_bin_3': 0.21463529765605927, 'redshifts/mse_bin_4': 0.22777186334133148, 'redshifts/mse_bin_5': 0.07462500035762787, 'redshifts/nmad': 0.1124492883682251, 'redshifts/nmad_bin_0': 0.21228213608264923, 'redshifts/nmad_bin_1': 0.134989395737648, 'redshifts/nmad_bin_2': 0.08805221319198608, 'redshifts/nmad_bin_3': 0.06988698989152908, 'redshifts/nmad_bin_4': 0.06253068894147873, 'redshifts/nmad_bin_5': 0.03490914776921272, 'redshifts/outlier_fraction': 0.3270752727985382, 'redshifts/outlier_fraction_bin_0': 0.48774123191833496, 'redshifts/outlier_fraction_bin_1': 0.3568047285079956, 'redshifts/outlier_fraction_bin_2': 0.2578902542591095, 'redshifts/outlier_fraction_bin_3': 0.19374679028987885, 'redshifts/outlier_fraction_bin_4': 0.19555935263633728, 'redshifts/outlier_fraction_bin_5': 0.09115982055664062, 'redshifts/outlier_fraction_cata': 0.08919184654951096, 'redshifts/outlier_fraction_cata_bin_0': 0.13192027807235718, 'redshifts/outlier_fraction_cata_bin_1': 0.10094674676656723, 'redshifts/outlier_fraction_cata_bin_2': 0.07705430686473846, 'redshifts/outlier_fraction_cata_bin_3': 0.05996924638748169, 'redshifts/outlier_fraction_cata_bin_4': 0.054654140025377274, 'redshifts/outlier_fraction_cata_bin_5': 0.016693279147148132}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▌ | 548/1563 [48:14<2:02:38, 7.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34699.])\n", + "total num of pts: tensor([12673., 8471., 3520., 1953., 1173., 6909.])\n", + "{'redshifts/bias_abs': 0.07579629868268967, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004063165280967951, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.00988719705492258, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0005000461242161691, 'redshifts/mse': 0.3120039701461792, 'redshifts/mse_bin_0': 0.4371229410171509, 'redshifts/mse_bin_1': 0.36618703603744507, 'redshifts/mse_bin_2': 0.279587984085083, 'redshifts/mse_bin_3': 0.21462729573249817, 'redshifts/mse_bin_4': 0.22738681733608246, 'redshifts/mse_bin_5': 0.07447870075702667, 'redshifts/nmad': 0.11240899562835693, 'redshifts/nmad_bin_0': 0.21228119730949402, 'redshifts/nmad_bin_1': 0.13480888307094574, 'redshifts/nmad_bin_2': 0.08809719979763031, 'redshifts/nmad_bin_3': 0.06988698989152908, 'redshifts/nmad_bin_4': 0.06251002103090286, 'redshifts/nmad_bin_5': 0.03492200747132301, 'redshifts/outlier_fraction': 0.3270987570285797, 'redshifts/outlier_fraction_bin_0': 0.4875720143318176, 'redshifts/outlier_fraction_bin_1': 0.35662850737571716, 'redshifts/outlier_fraction_bin_2': 0.25852271914482117, 'redshifts/outlier_fraction_bin_3': 0.19406041502952576, 'redshifts/outlier_fraction_bin_4': 0.19522590935230255, 'redshifts/outlier_fraction_bin_5': 0.09147489070892334, 'redshifts/outlier_fraction_cata': 0.08919565379619598, 'redshifts/outlier_fraction_cata_bin_0': 0.13201293349266052, 'redshifts/outlier_fraction_cata_bin_1': 0.10093259066343307, 'redshifts/outlier_fraction_cata_bin_2': 0.07698863744735718, 'redshifts/outlier_fraction_cata_bin_3': 0.059907834976911545, 'redshifts/outlier_fraction_cata_bin_4': 0.05456095561385155, 'redshifts/outlier_fraction_cata_bin_5': 0.016644956544041634}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▌ | 549/1563 [48:18<1:48:00, 6.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34766.])\n", + "total num of pts: tensor([12697., 8488., 3525., 1959., 1177., 6920.])\n", + "{'redshifts/bias_abs': 0.07581742107868195, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004086958710104227, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.000506325566675514, 'redshifts/mse': 0.3120260536670685, 'redshifts/mse_bin_0': 0.4369373023509979, 'redshifts/mse_bin_1': 0.3665468394756317, 'redshifts/mse_bin_2': 0.27961280941963196, 'redshifts/mse_bin_3': 0.21516796946525574, 'redshifts/mse_bin_4': 0.22695761919021606, 'redshifts/mse_bin_5': 0.07436356693506241, 'redshifts/nmad': 0.11245789378881454, 'redshifts/nmad_bin_0': 0.21228814125061035, 'redshifts/nmad_bin_1': 0.13487090170383453, 'redshifts/nmad_bin_2': 0.08794017136096954, 'redshifts/nmad_bin_3': 0.06984242796897888, 'redshifts/nmad_bin_4': 0.06217726692557335, 'redshifts/nmad_bin_5': 0.034924156963825226, 'redshifts/outlier_fraction': 0.32724499702453613, 'redshifts/outlier_fraction_bin_0': 0.48791053891181946, 'redshifts/outlier_fraction_bin_1': 0.3567389249801636, 'redshifts/outlier_fraction_bin_2': 0.25843971967697144, 'redshifts/outlier_fraction_bin_3': 0.19448699057102203, 'redshifts/outlier_fraction_bin_4': 0.1954120695590973, 'redshifts/outlier_fraction_bin_5': 0.09132947772741318, 'redshifts/outlier_fraction_cata': 0.08922510594129562, 'redshifts/outlier_fraction_cata_bin_0': 0.1319996863603592, 'redshifts/outlier_fraction_cata_bin_1': 0.10096606612205505, 'redshifts/outlier_fraction_cata_bin_2': 0.07716312259435654, 'redshifts/outlier_fraction_cata_bin_3': 0.06023481488227844, 'redshifts/outlier_fraction_cata_bin_4': 0.054375529289245605, 'redshifts/outlier_fraction_cata_bin_5': 0.016618497669696808}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▌ | 550/1563 [48:25<1:50:14, 6.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34834.])\n", + "total num of pts: tensor([12727., 8505., 3532., 1963., 1177., 6930.])\n", + "{'redshifts/bias_abs': 0.07583078742027283, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.00409969687461853, 'redshifts/bias_bin_0': 0.029589658603072166, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0005225210916250944, 'redshifts/mse': 0.3122616112232208, 'redshifts/mse_bin_0': 0.43736496567726135, 'redshifts/mse_bin_1': 0.36650514602661133, 'redshifts/mse_bin_2': 0.2804279327392578, 'redshifts/mse_bin_3': 0.21478872001171112, 'redshifts/mse_bin_4': 0.22695761919021606, 'redshifts/mse_bin_5': 0.07426270097494125, 'redshifts/nmad': 0.11251655966043472, 'redshifts/nmad_bin_0': 0.21245364844799042, 'redshifts/nmad_bin_1': 0.13504883646965027, 'redshifts/nmad_bin_2': 0.0878681167960167, 'redshifts/nmad_bin_3': 0.06983006000518799, 'redshifts/nmad_bin_4': 0.06217726692557335, 'redshifts/nmad_bin_5': 0.03492269292473793, 'redshifts/outlier_fraction': 0.3272664546966553, 'redshifts/outlier_fraction_bin_0': 0.4879390299320221, 'redshifts/outlier_fraction_bin_1': 0.3567313253879547, 'redshifts/outlier_fraction_bin_2': 0.2584937810897827, 'redshifts/outlier_fraction_bin_3': 0.19409067928791046, 'redshifts/outlier_fraction_bin_4': 0.1954120695590973, 'redshifts/outlier_fraction_bin_5': 0.09119769185781479, 'redshifts/outlier_fraction_cata': 0.08928059041500092, 'redshifts/outlier_fraction_cata_bin_0': 0.1321599781513214, 'redshifts/outlier_fraction_cata_bin_1': 0.10088183730840683, 'redshifts/outlier_fraction_cata_bin_2': 0.07729332149028778, 'redshifts/outlier_fraction_cata_bin_3': 0.06011207401752472, 'redshifts/outlier_fraction_cata_bin_4': 0.054375529289245605, 'redshifts/outlier_fraction_cata_bin_5': 0.01659451611340046}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▌ | 551/1563 [48:30<1:44:55, 6.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34905.])\n", + "total num of pts: tensor([12759., 8517., 3537., 1964., 1178., 6950.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004095409531146288, 'redshifts/bias_bin_0': 0.02957100048661232, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005512110656127334, 'redshifts/mse': 0.31281137466430664, 'redshifts/mse_bin_0': 0.43884915113449097, 'redshifts/mse_bin_1': 0.3666253089904785, 'redshifts/mse_bin_2': 0.28014495968818665, 'redshifts/mse_bin_3': 0.2146916687488556, 'redshifts/mse_bin_4': 0.2268020063638687, 'redshifts/mse_bin_5': 0.07441374659538269, 'redshifts/nmad': 0.11256808042526245, 'redshifts/nmad_bin_0': 0.21263596415519714, 'redshifts/nmad_bin_1': 0.1350899487733841, 'redshifts/nmad_bin_2': 0.08794017136096954, 'redshifts/nmad_bin_3': 0.06984242796897888, 'redshifts/nmad_bin_4': 0.0621742345392704, 'redshifts/nmad_bin_5': 0.03490418195724487, 'redshifts/outlier_fraction': 0.3274315893650055, 'redshifts/outlier_fraction_bin_0': 0.4882044196128845, 'redshifts/outlier_fraction_bin_1': 0.35693320631980896, 'redshifts/outlier_fraction_bin_2': 0.25841107964515686, 'redshifts/outlier_fraction_bin_3': 0.19399185478687286, 'redshifts/outlier_fraction_bin_4': 0.19524617493152618, 'redshifts/outlier_fraction_bin_5': 0.09136690944433212, 'redshifts/outlier_fraction_cata': 0.08941412717103958, 'redshifts/outlier_fraction_cata_bin_0': 0.13237714767456055, 'redshifts/outlier_fraction_cata_bin_1': 0.10109193623065948, 'redshifts/outlier_fraction_cata_bin_2': 0.0771840512752533, 'redshifts/outlier_fraction_cata_bin_3': 0.060081467032432556, 'redshifts/outlier_fraction_cata_bin_4': 0.05432937294244766, 'redshifts/outlier_fraction_cata_bin_5': 0.01669064722955227}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▌ | 552/1563 [48:35<1:36:58, 5.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([34968.])\n", + "total num of pts: tensor([12786., 8531., 3542., 1966., 1180., 6963.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.004086958710104227, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.010118684731423855, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007862296886742115, 'redshifts/bias_bin_5': -0.0005372464656829834, 'redshifts/mse': 0.31275999546051025, 'redshifts/mse_bin_0': 0.4385782480239868, 'redshifts/mse_bin_1': 0.36695241928100586, 'redshifts/mse_bin_2': 0.2801158130168915, 'redshifts/mse_bin_3': 0.21448183059692383, 'redshifts/mse_bin_4': 0.22642400860786438, 'redshifts/mse_bin_5': 0.07431505620479584, 'redshifts/nmad': 0.11260876804590225, 'redshifts/nmad_bin_0': 0.21262392401695251, 'redshifts/nmad_bin_1': 0.135111004114151, 'redshifts/nmad_bin_2': 0.08809719979763031, 'redshifts/nmad_bin_3': 0.06993836164474487, 'redshifts/nmad_bin_4': 0.06215409189462662, 'redshifts/nmad_bin_5': 0.03489172086119652, 'redshifts/outlier_fraction': 0.3274136483669281, 'redshifts/outlier_fraction_bin_0': 0.4881902039051056, 'redshifts/outlier_fraction_bin_1': 0.3568163216114044, 'redshifts/outlier_fraction_bin_2': 0.25861096382141113, 'redshifts/outlier_fraction_bin_3': 0.19379450380802155, 'redshifts/outlier_fraction_bin_4': 0.19491524994373322, 'redshifts/outlier_fraction_bin_5': 0.09133993834257126, 'redshifts/outlier_fraction_cata': 0.08939602226018906, 'redshifts/outlier_fraction_cata_bin_0': 0.13225403428077698, 'redshifts/outlier_fraction_cata_bin_1': 0.10116047412157059, 'redshifts/outlier_fraction_cata_bin_2': 0.07735742628574371, 'redshifts/outlier_fraction_cata_bin_3': 0.06002034619450569, 'redshifts/outlier_fraction_cata_bin_4': 0.05423728749155998, 'redshifts/outlier_fraction_cata_bin_5': 0.016659485176205635}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▌ | 553/1563 [48:41<1:36:45, 5.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35020.])\n", + "total num of pts: tensor([12801., 8544., 3550., 1971., 1181., 6973.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.004056853242218494, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.009921017102897167, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.007862296886742115, 'redshifts/bias_bin_5': -0.0005372464656829834, 'redshifts/mse': 0.3128112852573395, 'redshifts/mse_bin_0': 0.43853965401649475, 'redshifts/mse_bin_1': 0.3667078912258148, 'redshifts/mse_bin_2': 0.2820395231246948, 'redshifts/mse_bin_3': 0.21400237083435059, 'redshifts/mse_bin_4': 0.22623290121555328, 'redshifts/mse_bin_5': 0.07422225922346115, 'redshifts/nmad': 0.11263683438301086, 'redshifts/nmad_bin_0': 0.21262627840042114, 'redshifts/nmad_bin_1': 0.13494913280010223, 'redshifts/nmad_bin_2': 0.08817215263843536, 'redshifts/nmad_bin_3': 0.0697673112154007, 'redshifts/nmad_bin_4': 0.06215409189462662, 'redshifts/nmad_bin_5': 0.03489172086119652, 'redshifts/outlier_fraction': 0.327384352684021, 'redshifts/outlier_fraction_bin_0': 0.4881649911403656, 'redshifts/outlier_fraction_bin_1': 0.35697564482688904, 'redshifts/outlier_fraction_bin_2': 0.25859156250953674, 'redshifts/outlier_fraction_bin_3': 0.19330288469791412, 'redshifts/outlier_fraction_bin_4': 0.19475020468235016, 'redshifts/outlier_fraction_bin_5': 0.09135235846042633, 'redshifts/outlier_fraction_cata': 0.0893775001168251, 'redshifts/outlier_fraction_cata_bin_0': 0.1321771740913391, 'redshifts/outlier_fraction_cata_bin_1': 0.10112359374761581, 'redshifts/outlier_fraction_cata_bin_2': 0.07774648070335388, 'redshifts/outlier_fraction_cata_bin_3': 0.059868086129426956, 'redshifts/outlier_fraction_cata_bin_4': 0.054191362112760544, 'redshifts/outlier_fraction_cata_bin_5': 0.0166355948895216}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 35%|███▌ | 554/1563 [48:47<1:39:22, 5.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35082.])\n", + "total num of pts: tensor([12831., 8560., 3552., 1974., 1184., 6981.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004064472857862711, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.010118684731423855, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007848708890378475, 'redshifts/bias_bin_5': -0.0005372464656829834, 'redshifts/mse': 0.3131687045097351, 'redshifts/mse_bin_0': 0.43869930505752563, 'redshifts/mse_bin_1': 0.36709001660346985, 'redshifts/mse_bin_2': 0.28188613057136536, 'redshifts/mse_bin_3': 0.21569280326366425, 'redshifts/mse_bin_4': 0.2256776988506317, 'redshifts/mse_bin_5': 0.07464858144521713, 'redshifts/nmad': 0.11269211769104004, 'redshifts/nmad_bin_0': 0.21302838623523712, 'redshifts/nmad_bin_1': 0.1350741982460022, 'redshifts/nmad_bin_2': 0.08816075325012207, 'redshifts/nmad_bin_3': 0.07021550834178925, 'redshifts/nmad_bin_4': 0.062163081020116806, 'redshifts/nmad_bin_5': 0.03488370403647423, 'redshifts/outlier_fraction': 0.32751837372779846, 'redshifts/outlier_fraction_bin_0': 0.4883485436439514, 'redshifts/outlier_fraction_bin_1': 0.3570093512535095, 'redshifts/outlier_fraction_bin_2': 0.25844594836235046, 'redshifts/outlier_fraction_bin_3': 0.19351570308208466, 'redshifts/outlier_fraction_bin_4': 0.1942567527294159, 'redshifts/outlier_fraction_bin_5': 0.09139091521501541, 'redshifts/outlier_fraction_cata': 0.08950459212064743, 'redshifts/outlier_fraction_cata_bin_0': 0.13225781917572021, 'redshifts/outlier_fraction_cata_bin_1': 0.10128504782915115, 'redshifts/outlier_fraction_cata_bin_2': 0.07770270109176636, 'redshifts/outlier_fraction_cata_bin_3': 0.060283686965703964, 'redshifts/outlier_fraction_cata_bin_4': 0.054054055362939835, 'redshifts/outlier_fraction_cata_bin_5': 0.016759777441620827}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 555/1563 [48:52<1:36:02, 5.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35151.])\n", + "total num of pts: tensor([12866., 8569., 3558., 1977., 1185., 6996.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004089513327926397, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0005000461242161691, 'redshifts/mse': 0.31340891122817993, 'redshifts/mse_bin_0': 0.43868452310562134, 'redshifts/mse_bin_1': 0.36718860268592834, 'redshifts/mse_bin_2': 0.2842918932437897, 'redshifts/mse_bin_3': 0.21559563279151917, 'redshifts/mse_bin_4': 0.22549310326576233, 'redshifts/mse_bin_5': 0.07449240237474442, 'redshifts/nmad': 0.11268524825572968, 'redshifts/nmad_bin_0': 0.21303051710128784, 'redshifts/nmad_bin_1': 0.13498768210411072, 'redshifts/nmad_bin_2': 0.08816075325012207, 'redshifts/nmad_bin_3': 0.07029062509536743, 'redshifts/nmad_bin_4': 0.06217726692557335, 'redshifts/nmad_bin_5': 0.03482099249958992, 'redshifts/outlier_fraction': 0.3276720345020294, 'redshifts/outlier_fraction_bin_0': 0.4884968101978302, 'redshifts/outlier_fraction_bin_1': 0.3572178781032562, 'redshifts/outlier_fraction_bin_2': 0.2588532865047455, 'redshifts/outlier_fraction_bin_3': 0.19372786581516266, 'redshifts/outlier_fraction_bin_4': 0.19409282505512238, 'redshifts/outlier_fraction_bin_5': 0.09119496494531631, 'redshifts/outlier_fraction_cata': 0.08961338549852371, 'redshifts/outlier_fraction_cata_bin_0': 0.1322089284658432, 'redshifts/outlier_fraction_cata_bin_1': 0.10152876377105713, 'redshifts/outlier_fraction_cata_bin_2': 0.07841484248638153, 'redshifts/outlier_fraction_cata_bin_3': 0.060192208737134933, 'redshifts/outlier_fraction_cata_bin_4': 0.05400843918323517, 'redshifts/outlier_fraction_cata_bin_5': 0.016723841428756714}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 556/1563 [48:58<1:38:33, 5.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35223.])\n", + "total num of pts: tensor([12888., 8588., 3565., 1980., 1187., 7015.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0005000461242161691, 'redshifts/mse': 0.31325915455818176, 'redshifts/mse_bin_0': 0.43858602643013, 'redshifts/mse_bin_1': 0.3673217296600342, 'redshifts/mse_bin_2': 0.2837952971458435, 'redshifts/mse_bin_3': 0.2153179943561554, 'redshifts/mse_bin_4': 0.22511737048625946, 'redshifts/mse_bin_5': 0.07435735315084457, 'redshifts/nmad': 0.11265668272972107, 'redshifts/nmad_bin_0': 0.2132994383573532, 'redshifts/nmad_bin_1': 0.13503021001815796, 'redshifts/nmad_bin_2': 0.08814822882413864, 'redshifts/nmad_bin_3': 0.07023103535175323, 'redshifts/nmad_bin_4': 0.06216004863381386, 'redshifts/nmad_bin_5': 0.03482099249958992, 'redshifts/outlier_fraction': 0.3277687728404999, 'redshifts/outlier_fraction_bin_0': 0.48859405517578125, 'redshifts/outlier_fraction_bin_1': 0.35759198665618896, 'redshifts/outlier_fraction_bin_2': 0.2589060366153717, 'redshifts/outlier_fraction_bin_3': 0.19343434274196625, 'redshifts/outlier_fraction_bin_4': 0.193765789270401, 'redshifts/outlier_fraction_bin_5': 0.09137562662363052, 'redshifts/outlier_fraction_cata': 0.08957215398550034, 'redshifts/outlier_fraction_cata_bin_0': 0.1321384161710739, 'redshifts/outlier_fraction_cata_bin_1': 0.10165347158908844, 'redshifts/outlier_fraction_cata_bin_2': 0.0782608687877655, 'redshifts/outlier_fraction_cata_bin_3': 0.06010100990533829, 'redshifts/outlier_fraction_cata_bin_4': 0.05391743779182434, 'redshifts/outlier_fraction_cata_bin_5': 0.016678545624017715}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 557/1563 [49:07<1:53:40, 6.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35308.])\n", + "total num of pts: tensor([12916., 8606., 3575., 1984., 1195., 7032.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0005010862369090319, 'redshifts/mse': 0.3132553696632385, 'redshifts/mse_bin_0': 0.43896183371543884, 'redshifts/mse_bin_1': 0.3671483099460602, 'redshifts/mse_bin_2': 0.28330543637275696, 'redshifts/mse_bin_3': 0.21489833295345306, 'redshifts/mse_bin_4': 0.22382524609565735, 'redshifts/mse_bin_5': 0.07458531111478806, 'redshifts/nmad': 0.112693190574646, 'redshifts/nmad_bin_0': 0.21317005157470703, 'redshifts/nmad_bin_1': 0.13504883646965027, 'redshifts/nmad_bin_2': 0.08820907026529312, 'redshifts/nmad_bin_3': 0.06990605592727661, 'redshifts/nmad_bin_4': 0.06216004863381386, 'redshifts/nmad_bin_5': 0.03482253476977348, 'redshifts/outlier_fraction': 0.3276877701282501, 'redshifts/outlier_fraction_bin_0': 0.4884639084339142, 'redshifts/outlier_fraction_bin_1': 0.3574250638484955, 'redshifts/outlier_fraction_bin_2': 0.25930070877075195, 'redshifts/outlier_fraction_bin_3': 0.19304434955120087, 'redshifts/outlier_fraction_bin_4': 0.19330543279647827, 'redshifts/outlier_fraction_bin_5': 0.09158134460449219, 'redshifts/outlier_fraction_cata': 0.08958309888839722, 'redshifts/outlier_fraction_cata_bin_0': 0.13223908841609955, 'redshifts/outlier_fraction_cata_bin_1': 0.10167325288057327, 'redshifts/outlier_fraction_cata_bin_2': 0.07804195582866669, 'redshifts/outlier_fraction_cata_bin_3': 0.05997983738780022, 'redshifts/outlier_fraction_cata_bin_4': 0.05355648696422577, 'redshifts/outlier_fraction_cata_bin_5': 0.01678043231368065}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 558/1563 [49:14<1:53:35, 6.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35360.])\n", + "total num of pts: tensor([12940., 8620., 3578., 1985., 1195., 7042.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023381708189845085, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0005010862369090319, 'redshifts/mse': 0.3132123053073883, 'redshifts/mse_bin_0': 0.4391264319419861, 'redshifts/mse_bin_1': 0.3667413294315338, 'redshifts/mse_bin_2': 0.283159464597702, 'redshifts/mse_bin_3': 0.21479485929012299, 'redshifts/mse_bin_4': 0.22382524609565735, 'redshifts/mse_bin_5': 0.07449813187122345, 'redshifts/nmad': 0.11265668272972107, 'redshifts/nmad_bin_0': 0.21316273510456085, 'redshifts/nmad_bin_1': 0.13496467471122742, 'redshifts/nmad_bin_2': 0.08817215263843536, 'redshifts/nmad_bin_3': 0.06990251690149307, 'redshifts/nmad_bin_4': 0.06216004863381386, 'redshifts/nmad_bin_5': 0.034808672964572906, 'redshifts/outlier_fraction': 0.327601820230484, 'redshifts/outlier_fraction_bin_0': 0.48833075165748596, 'redshifts/outlier_fraction_bin_1': 0.3571925759315491, 'redshifts/outlier_fraction_bin_2': 0.2593627870082855, 'redshifts/outlier_fraction_bin_3': 0.19294710457324982, 'redshifts/outlier_fraction_bin_4': 0.19330543279647827, 'redshifts/outlier_fraction_bin_5': 0.09145129472017288, 'redshifts/outlier_fraction_cata': 0.08953619748353958, 'redshifts/outlier_fraction_cata_bin_0': 0.1322256624698639, 'redshifts/outlier_fraction_cata_bin_1': 0.10150811821222305, 'redshifts/outlier_fraction_cata_bin_2': 0.0779765248298645, 'redshifts/outlier_fraction_cata_bin_3': 0.05994962155818939, 'redshifts/outlier_fraction_cata_bin_4': 0.05355648696422577, 'redshifts/outlier_fraction_cata_bin_5': 0.016756603494286537}\n", + "total num of pts: tensor([35429.])\n", + "total num of pts: tensor([12962., 8631., 3588., 1990., 1197., 7061.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 559/1563 [49:21<1:54:36, 6.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.023347405716776848, 'redshifts/bias': 0.004064472857862711, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.00400532316416502, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0004972534370608628, 'redshifts/mse': 0.3130868673324585, 'redshifts/mse_bin_0': 0.4388211965560913, 'redshifts/mse_bin_1': 0.36717039346694946, 'redshifts/mse_bin_2': 0.2830355167388916, 'redshifts/mse_bin_3': 0.21469981968402863, 'redshifts/mse_bin_4': 0.22347083687782288, 'redshifts/mse_bin_5': 0.07435840368270874, 'redshifts/nmad': 0.11252879351377487, 'redshifts/nmad_bin_0': 0.2131458967924118, 'redshifts/nmad_bin_1': 0.13497425615787506, 'redshifts/nmad_bin_2': 0.08826268464326859, 'redshifts/nmad_bin_3': 0.06986064463853836, 'redshifts/nmad_bin_4': 0.06216004863381386, 'redshifts/nmad_bin_5': 0.034766435623168945, 'redshifts/outlier_fraction': 0.327612966299057, 'redshifts/outlier_fraction_bin_0': 0.48827341198921204, 'redshifts/outlier_fraction_bin_1': 0.35731664299964905, 'redshifts/outlier_fraction_bin_2': 0.2600334584712982, 'redshifts/outlier_fraction_bin_3': 0.1929648220539093, 'redshifts/outlier_fraction_bin_4': 0.19298245012760162, 'redshifts/outlier_fraction_bin_5': 0.09148845821619034, 'redshifts/outlier_fraction_cata': 0.08944649994373322, 'redshifts/outlier_fraction_cata_bin_0': 0.1320783793926239, 'redshifts/outlier_fraction_cata_bin_1': 0.10149461030960083, 'redshifts/outlier_fraction_cata_bin_2': 0.07803790271282196, 'redshifts/outlier_fraction_cata_bin_3': 0.05979899317026138, 'redshifts/outlier_fraction_cata_bin_4': 0.053467001765966415, 'redshifts/outlier_fraction_cata_bin_5': 0.016711514443159103}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 560/1563 [49:31<2:09:26, 7.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35504.])\n", + "total num of pts: tensor([12988., 8645., 3597., 1995., 1201., 7078.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02334142103791237, 'redshifts/bias': 0.004056193865835667, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0004972534370608628, 'redshifts/mse': 0.31306883692741394, 'redshifts/mse_bin_0': 0.43910086154937744, 'redshifts/mse_bin_1': 0.3671247363090515, 'redshifts/mse_bin_2': 0.2829649746417999, 'redshifts/mse_bin_3': 0.21430599689483643, 'redshifts/mse_bin_4': 0.22273923456668854, 'redshifts/mse_bin_5': 0.0742441788315773, 'redshifts/nmad': 0.11252367496490479, 'redshifts/nmad_bin_0': 0.2134745717048645, 'redshifts/nmad_bin_1': 0.13492263853549957, 'redshifts/nmad_bin_2': 0.08832111209630966, 'redshifts/nmad_bin_3': 0.06986064463853836, 'redshifts/nmad_bin_4': 0.06209088861942291, 'redshifts/nmad_bin_5': 0.03474877402186394, 'redshifts/outlier_fraction': 0.3276532292366028, 'redshifts/outlier_fraction_bin_0': 0.4885278642177582, 'redshifts/outlier_fraction_bin_1': 0.3572006821632385, 'redshifts/outlier_fraction_bin_2': 0.2599388360977173, 'redshifts/outlier_fraction_bin_3': 0.19348371028900146, 'redshifts/outlier_fraction_bin_4': 0.1923397183418274, 'redshifts/outlier_fraction_bin_5': 0.0915512889623642, 'redshifts/outlier_fraction_cata': 0.0894828736782074, 'redshifts/outlier_fraction_cata_bin_0': 0.13227595388889313, 'redshifts/outlier_fraction_cata_bin_1': 0.10144592076539993, 'redshifts/outlier_fraction_cata_bin_2': 0.078120656311512, 'redshifts/outlier_fraction_cata_bin_3': 0.05964912101626396, 'redshifts/outlier_fraction_cata_bin_4': 0.05328892543911934, 'redshifts/outlier_fraction_cata_bin_5': 0.016671376302838326}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 561/1563 [49:37<1:58:10, 7.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35566.])\n", + "total num of pts: tensor([13003., 8662., 3602., 1999., 1206., 7094.])\n", + "{'redshifts/bias_abs': 0.07582593709230423, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04113702103495598, 'redshifts/bias_abs_bin_5': 0.02334142103791237, 'redshifts/bias': 0.004065189976245165, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007716151420027018, 'redshifts/bias_bin_5': -0.0004764179466292262, 'redshifts/mse': 0.3130301535129547, 'redshifts/mse_bin_0': 0.43902871012687683, 'redshifts/mse_bin_1': 0.36733871698379517, 'redshifts/mse_bin_2': 0.2825827896595001, 'redshifts/mse_bin_3': 0.21388328075408936, 'redshifts/mse_bin_4': 0.2220209538936615, 'redshifts/mse_bin_5': 0.07463936507701874, 'redshifts/nmad': 0.1124861091375351, 'redshifts/nmad_bin_0': 0.2133350372314453, 'redshifts/nmad_bin_1': 0.1348797231912613, 'redshifts/nmad_bin_2': 0.08818148076534271, 'redshifts/nmad_bin_3': 0.06954328715801239, 'redshifts/nmad_bin_4': 0.062163207679986954, 'redshifts/nmad_bin_5': 0.034763820469379425, 'redshifts/outlier_fraction': 0.3275319039821625, 'redshifts/outlier_fraction_bin_0': 0.4885026514530182, 'redshifts/outlier_fraction_bin_1': 0.35719233751296997, 'redshifts/outlier_fraction_bin_2': 0.25957801938056946, 'redshifts/outlier_fraction_bin_3': 0.19309654831886292, 'redshifts/outlier_fraction_bin_4': 0.19237147271633148, 'redshifts/outlier_fraction_bin_5': 0.09162672609090805, 'redshifts/outlier_fraction_cata': 0.08946746587753296, 'redshifts/outlier_fraction_cata_bin_0': 0.13220025599002838, 'redshifts/outlier_fraction_cata_bin_1': 0.10159316658973694, 'redshifts/outlier_fraction_cata_bin_2': 0.07801221311092377, 'redshifts/outlier_fraction_cata_bin_3': 0.05952976644039154, 'redshifts/outlier_fraction_cata_bin_4': 0.05306799337267876, 'redshifts/outlier_fraction_cata_bin_5': 0.0167747400701046}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 562/1563 [49:43<1:54:40, 6.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35638.])\n", + "total num of pts: tensor([13036., 8674., 3609., 2002., 1209., 7108.])\n", + "{'redshifts/bias_abs': 0.07583078742027283, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04120448976755142, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.004080861806869507, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.007716151420027018, 'redshifts/bias_bin_5': -0.00047616619849577546, 'redshifts/mse': 0.3131786584854126, 'redshifts/mse_bin_0': 0.43987053632736206, 'redshifts/mse_bin_1': 0.3670462369918823, 'redshifts/mse_bin_2': 0.2820424735546112, 'redshifts/mse_bin_3': 0.21372073888778687, 'redshifts/mse_bin_4': 0.22149567306041718, 'redshifts/mse_bin_5': 0.07450953125953674, 'redshifts/nmad': 0.11249814927577972, 'redshifts/nmad_bin_0': 0.2137056142091751, 'redshifts/nmad_bin_1': 0.1347351223230362, 'redshifts/nmad_bin_2': 0.08819333463907242, 'redshifts/nmad_bin_3': 0.06969773024320602, 'redshifts/nmad_bin_4': 0.06237076222896576, 'redshifts/nmad_bin_5': 0.03473376855254173, 'redshifts/outlier_fraction': 0.32757169008255005, 'redshifts/outlier_fraction_bin_0': 0.4890303909778595, 'redshifts/outlier_fraction_bin_1': 0.3568134605884552, 'redshifts/outlier_fraction_bin_2': 0.25907453894615173, 'redshifts/outlier_fraction_bin_3': 0.19330669939517975, 'redshifts/outlier_fraction_bin_4': 0.19189412891864777, 'redshifts/outlier_fraction_bin_5': 0.09144625812768936, 'redshifts/outlier_fraction_cata': 0.08959537744522095, 'redshifts/outlier_fraction_cata_bin_0': 0.13263270258903503, 'redshifts/outlier_fraction_cata_bin_1': 0.10156790167093277, 'redshifts/outlier_fraction_cata_bin_2': 0.07786090672016144, 'redshifts/outlier_fraction_cata_bin_3': 0.05944056063890457, 'redshifts/outlier_fraction_cata_bin_4': 0.052936311811208725, 'redshifts/outlier_fraction_cata_bin_5': 0.01674169860780239}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 563/1563 [49:49<1:49:37, 6.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35698.])\n", + "total num of pts: tensor([13053., 8690., 3617., 2006., 1212., 7120.])\n", + "{'redshifts/bias_abs': 0.07580768316984177, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.004080861806869507, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.00784666370600462, 'redshifts/bias_bin_5': -0.0004673898220062256, 'redshifts/mse': 0.3128379285335541, 'redshifts/mse_bin_0': 0.4395560324192047, 'redshifts/mse_bin_1': 0.36651644110679626, 'redshifts/mse_bin_2': 0.2818637192249298, 'redshifts/mse_bin_3': 0.21343295276165009, 'redshifts/mse_bin_4': 0.22097700834274292, 'redshifts/mse_bin_5': 0.07439295202493668, 'redshifts/nmad': 0.1124274954199791, 'redshifts/nmad_bin_0': 0.2136451005935669, 'redshifts/nmad_bin_1': 0.13460655510425568, 'redshifts/nmad_bin_2': 0.08809719979763031, 'redshifts/nmad_bin_3': 0.06954328715801239, 'redshifts/nmad_bin_4': 0.06225600838661194, 'redshifts/nmad_bin_5': 0.03474678099155426, 'redshifts/outlier_fraction': 0.3273572623729706, 'redshifts/outlier_fraction_bin_0': 0.4888531267642975, 'redshifts/outlier_fraction_bin_1': 0.3565017282962799, 'redshifts/outlier_fraction_bin_2': 0.2590544521808624, 'redshifts/outlier_fraction_bin_3': 0.19341973960399628, 'redshifts/outlier_fraction_bin_4': 0.19141913950443268, 'redshifts/outlier_fraction_bin_5': 0.0912921354174614, 'redshifts/outlier_fraction_cata': 0.08950081467628479, 'redshifts/outlier_fraction_cata_bin_0': 0.13253657519817352, 'redshifts/outlier_fraction_cata_bin_1': 0.10138089954853058, 'redshifts/outlier_fraction_cata_bin_2': 0.0779651626944542, 'redshifts/outlier_fraction_cata_bin_3': 0.05932203307747841, 'redshifts/outlier_fraction_cata_bin_4': 0.052805282175540924, 'redshifts/outlier_fraction_cata_bin_5': 0.01671348325908184}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 564/1563 [49:58<2:00:39, 7.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35763.])\n", + "total num of pts: tensor([13082., 8702., 3625., 2010., 1214., 7130.])\n", + "{'redshifts/bias_abs': 0.07582593709230423, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04131285473704338, 'redshifts/bias_abs_bin_5': 0.023347405716776848, 'redshifts/bias': 0.004087718669325113, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007716151420027018, 'redshifts/bias_bin_5': -0.00047616619849577546, 'redshifts/mse': 0.3130680024623871, 'redshifts/mse_bin_0': 0.4399518668651581, 'redshifts/mse_bin_1': 0.3668849468231201, 'redshifts/mse_bin_2': 0.28156381845474243, 'redshifts/mse_bin_3': 0.2130187600851059, 'redshifts/mse_bin_4': 0.2207224816083908, 'redshifts/mse_bin_5': 0.07452835887670517, 'redshifts/nmad': 0.11250831186771393, 'redshifts/nmad_bin_0': 0.21351592242717743, 'redshifts/nmad_bin_1': 0.1348010003566742, 'redshifts/nmad_bin_2': 0.08800485730171204, 'redshifts/nmad_bin_3': 0.06973443180322647, 'redshifts/nmad_bin_4': 0.06244950741529465, 'redshifts/nmad_bin_5': 0.03476419299840927, 'redshifts/outlier_fraction': 0.3275452256202698, 'redshifts/outlier_fraction_bin_0': 0.4887631833553314, 'redshifts/outlier_fraction_bin_1': 0.3569294512271881, 'redshifts/outlier_fraction_bin_2': 0.2593103349208832, 'redshifts/outlier_fraction_bin_3': 0.193034827709198, 'redshifts/outlier_fraction_bin_4': 0.19192750751972198, 'redshifts/outlier_fraction_bin_5': 0.09158485382795334, 'redshifts/outlier_fraction_cata': 0.08953387290239334, 'redshifts/outlier_fraction_cata_bin_0': 0.13254854083061218, 'redshifts/outlier_fraction_cata_bin_1': 0.10147092491388321, 'redshifts/outlier_fraction_cata_bin_2': 0.07779310643672943, 'redshifts/outlier_fraction_cata_bin_3': 0.05920397862792015, 'redshifts/outlier_fraction_cata_bin_4': 0.05271828547120094, 'redshifts/outlier_fraction_cata_bin_5': 0.01683029532432556}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 565/1563 [50:05<2:02:36, 7.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35823.])\n", + "total num of pts: tensor([13118., 8711., 3629., 2010., 1215., 7140.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023376263678073883, 'redshifts/bias': 0.004095409531146288, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0004596412181854248, 'redshifts/mse': 0.3129868507385254, 'redshifts/mse_bin_0': 0.4394758641719818, 'redshifts/mse_bin_1': 0.36678311228752136, 'redshifts/mse_bin_2': 0.28188732266426086, 'redshifts/mse_bin_3': 0.2130187600851059, 'redshifts/mse_bin_4': 0.22171226143836975, 'redshifts/mse_bin_5': 0.07444439083337784, 'redshifts/nmad': 0.11256808042526245, 'redshifts/nmad_bin_0': 0.2134745717048645, 'redshifts/nmad_bin_1': 0.13480372726917267, 'redshifts/nmad_bin_2': 0.08810099214315414, 'redshifts/nmad_bin_3': 0.06973443180322647, 'redshifts/nmad_bin_4': 0.06253068894147873, 'redshifts/nmad_bin_5': 0.034804537892341614, 'redshifts/outlier_fraction': 0.32766658067703247, 'redshifts/outlier_fraction_bin_0': 0.48864156007766724, 'redshifts/outlier_fraction_bin_1': 0.356905072927475, 'redshifts/outlier_fraction_bin_2': 0.2598511874675751, 'redshifts/outlier_fraction_bin_3': 0.193034827709198, 'redshifts/outlier_fraction_bin_4': 0.192592591047287, 'redshifts/outlier_fraction_bin_5': 0.09159664064645767, 'redshifts/outlier_fraction_cata': 0.08952348679304123, 'redshifts/outlier_fraction_cata_bin_0': 0.13233724236488342, 'redshifts/outlier_fraction_cata_bin_1': 0.1014808863401413, 'redshifts/outlier_fraction_cata_bin_2': 0.07798291742801666, 'redshifts/outlier_fraction_cata_bin_3': 0.05920397862792015, 'redshifts/outlier_fraction_cata_bin_4': 0.05349794402718544, 'redshifts/outlier_fraction_cata_bin_5': 0.016806723549962044}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▌ | 566/1563 [50:11<1:55:54, 6.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35882.])\n", + "total num of pts: tensor([13140., 8721., 3637., 2014., 1216., 7154.])\n", + "{'redshifts/bias_abs': 0.07589719444513321, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004087230656296015, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.00400532316416502, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.00047616619849577546, 'redshifts/mse': 0.31317126750946045, 'redshifts/mse_bin_0': 0.43951454758644104, 'redshifts/mse_bin_1': 0.36642542481422424, 'redshifts/mse_bin_2': 0.28228533267974854, 'redshifts/mse_bin_3': 0.21531559526920319, 'redshifts/mse_bin_4': 0.22155192494392395, 'redshifts/mse_bin_5': 0.07501867413520813, 'redshifts/nmad': 0.11254651099443436, 'redshifts/nmad_bin_0': 0.2136084884405136, 'redshifts/nmad_bin_1': 0.13460928201675415, 'redshifts/nmad_bin_2': 0.08795777708292007, 'redshifts/nmad_bin_3': 0.0698888823390007, 'redshifts/nmad_bin_4': 0.06253068894147873, 'redshifts/nmad_bin_5': 0.03478003665804863, 'redshifts/outlier_fraction': 0.3275737166404724, 'redshifts/outlier_fraction_bin_0': 0.4886605739593506, 'redshifts/outlier_fraction_bin_1': 0.3566104769706726, 'redshifts/outlier_fraction_bin_2': 0.25955456495285034, 'redshifts/outlier_fraction_bin_3': 0.19364449381828308, 'redshifts/outlier_fraction_bin_4': 0.19243420660495758, 'redshifts/outlier_fraction_bin_5': 0.09155716747045517, 'redshifts/outlier_fraction_cata': 0.08954350650310516, 'redshifts/outlier_fraction_cata_bin_0': 0.13234399259090424, 'redshifts/outlier_fraction_cata_bin_1': 0.10136452317237854, 'redshifts/outlier_fraction_cata_bin_2': 0.07808633148670197, 'redshifts/outlier_fraction_cata_bin_3': 0.059582918882369995, 'redshifts/outlier_fraction_cata_bin_4': 0.053453948348760605, 'redshifts/outlier_fraction_cata_bin_5': 0.01691361516714096}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▋ | 567/1563 [50:20<2:03:03, 7.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([35959.])\n", + "total num of pts: tensor([13172., 8741., 3645., 2018., 1216., 7167.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004087230656296015, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007661393377929926, 'redshifts/bias_bin_5': -0.0004596412181854248, 'redshifts/mse': 0.31338807940483093, 'redshifts/mse_bin_0': 0.43913590908050537, 'redshifts/mse_bin_1': 0.3670661449432373, 'redshifts/mse_bin_2': 0.2840615212917328, 'redshifts/mse_bin_3': 0.21504682302474976, 'redshifts/mse_bin_4': 0.22155192494392395, 'redshifts/mse_bin_5': 0.07500194013118744, 'redshifts/nmad': 0.11257300525903702, 'redshifts/nmad_bin_0': 0.21339569985866547, 'redshifts/nmad_bin_1': 0.1345755010843277, 'redshifts/nmad_bin_2': 0.08807340264320374, 'redshifts/nmad_bin_3': 0.06989085674285889, 'redshifts/nmad_bin_4': 0.06253068894147873, 'redshifts/nmad_bin_5': 0.034788694232702255, 'redshifts/outlier_fraction': 0.3276231288909912, 'redshifts/outlier_fraction_bin_0': 0.4883844554424286, 'redshifts/outlier_fraction_bin_1': 0.356709748506546, 'redshifts/outlier_fraction_bin_2': 0.26008230447769165, 'redshifts/outlier_fraction_bin_3': 0.19375619292259216, 'redshifts/outlier_fraction_bin_4': 0.19243420660495758, 'redshifts/outlier_fraction_bin_5': 0.09167015552520752, 'redshifts/outlier_fraction_cata': 0.08962985873222351, 'redshifts/outlier_fraction_cata_bin_0': 0.132326140999794, 'redshifts/outlier_fraction_cata_bin_1': 0.1014758050441742, 'redshifts/outlier_fraction_cata_bin_2': 0.07873799651861191, 'redshifts/outlier_fraction_cata_bin_3': 0.05946481600403786, 'redshifts/outlier_fraction_cata_bin_4': 0.053453948348760605, 'redshifts/outlier_fraction_cata_bin_5': 0.016882935538887978}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▋ | 568/1563 [50:27<2:00:51, 7.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36011.])\n", + "total num of pts: tensor([13192., 8753., 3651., 2020., 1217., 7178.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023347405716776848, 'redshifts/bias': 0.004064472857862711, 'redshifts/bias_bin_0': 0.029075583443045616, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.00047616619849577546, 'redshifts/mse': 0.3131924867630005, 'redshifts/mse_bin_0': 0.4389718472957611, 'redshifts/mse_bin_1': 0.36681288480758667, 'redshifts/mse_bin_2': 0.2836522161960602, 'redshifts/mse_bin_3': 0.21488648653030396, 'redshifts/mse_bin_4': 0.22137439250946045, 'redshifts/mse_bin_5': 0.07490453124046326, 'redshifts/nmad': 0.11258025467395782, 'redshifts/nmad_bin_0': 0.21351857483386993, 'redshifts/nmad_bin_1': 0.1345861405134201, 'redshifts/nmad_bin_2': 0.08797726780176163, 'redshifts/nmad_bin_3': 0.07005376368761063, 'redshifts/nmad_bin_4': 0.06263525038957596, 'redshifts/nmad_bin_5': 0.03476419299840927, 'redshifts/outlier_fraction': 0.3276776671409607, 'redshifts/outlier_fraction_bin_0': 0.4885536730289459, 'redshifts/outlier_fraction_bin_1': 0.35667771100997925, 'redshifts/outlier_fraction_bin_2': 0.26020267605781555, 'redshifts/outlier_fraction_bin_3': 0.19405940175056458, 'redshifts/outlier_fraction_bin_4': 0.19227609038352966, 'redshifts/outlier_fraction_bin_5': 0.09152967482805252, 'redshifts/outlier_fraction_cata': 0.08958373963832855, 'redshifts/outlier_fraction_cata_bin_0': 0.13227713108062744, 'redshifts/outlier_fraction_cata_bin_1': 0.10145092755556107, 'redshifts/outlier_fraction_cata_bin_2': 0.07860860228538513, 'redshifts/outlier_fraction_cata_bin_3': 0.059405941516160965, 'redshifts/outlier_fraction_cata_bin_4': 0.05341002345085144, 'redshifts/outlier_fraction_cata_bin_5': 0.01685706339776516}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▋ | 569/1563 [50:34<1:59:53, 7.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36071.])\n", + "total num of pts: tensor([13217., 8768., 3661., 2021., 1218., 7186.])\n", + "{'redshifts/bias_abs': 0.07585220783948898, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.02334142103791237, 'redshifts/bias': 0.004089513327926397, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.00047616619849577546, 'redshifts/mse': 0.31283771991729736, 'redshifts/mse_bin_0': 0.4384985566139221, 'redshifts/mse_bin_1': 0.3662678301334381, 'redshifts/mse_bin_2': 0.28302285075187683, 'redshifts/mse_bin_3': 0.21478211879730225, 'redshifts/mse_bin_4': 0.22119268774986267, 'redshifts/mse_bin_5': 0.07482364773750305, 'redshifts/nmad': 0.11250761151313782, 'redshifts/nmad_bin_0': 0.21309438347816467, 'redshifts/nmad_bin_1': 0.13444961607456207, 'redshifts/nmad_bin_2': 0.08797726780176163, 'redshifts/nmad_bin_3': 0.07005376368761063, 'redshifts/nmad_bin_4': 0.06254304200410843, 'redshifts/nmad_bin_5': 0.03474627062678337, 'redshifts/outlier_fraction': 0.3274098336696625, 'redshifts/outlier_fraction_bin_0': 0.48823484778404236, 'redshifts/outlier_fraction_bin_1': 0.3561815619468689, 'redshifts/outlier_fraction_bin_2': 0.259765088558197, 'redshifts/outlier_fraction_bin_3': 0.19396337866783142, 'redshifts/outlier_fraction_bin_4': 0.19211822748184204, 'redshifts/outlier_fraction_bin_5': 0.0914277732372284, 'redshifts/outlier_fraction_cata': 0.08949017524719238, 'redshifts/outlier_fraction_cata_bin_0': 0.13217826187610626, 'redshifts/outlier_fraction_cata_bin_1': 0.10127737373113632, 'redshifts/outlier_fraction_cata_bin_2': 0.07839388400316238, 'redshifts/outlier_fraction_cata_bin_3': 0.0593765452504158, 'redshifts/outlier_fraction_cata_bin_4': 0.053366173058748245, 'redshifts/outlier_fraction_cata_bin_5': 0.016838297247886658}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 36%|███▋ | 570/1563 [50:41<1:57:03, 7.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36132.])\n", + "total num of pts: tensor([13234., 8787., 3670., 2025., 1220., 7196.])\n", + "{'redshifts/bias_abs': 0.07581369578838348, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004100842867046595, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.00400532316416502, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.0004534423351287842, 'redshifts/mse': 0.31284570693969727, 'redshifts/mse_bin_0': 0.4386192858219147, 'redshifts/mse_bin_1': 0.36608847975730896, 'redshifts/mse_bin_2': 0.2836400270462036, 'redshifts/mse_bin_3': 0.21436713635921478, 'redshifts/mse_bin_4': 0.22084355354309082, 'redshifts/mse_bin_5': 0.07473213970661163, 'redshifts/nmad': 0.11243325471878052, 'redshifts/nmad_bin_0': 0.21284067630767822, 'redshifts/nmad_bin_1': 0.13429003953933716, 'redshifts/nmad_bin_2': 0.08798287063837051, 'redshifts/nmad_bin_3': 0.06973640620708466, 'redshifts/nmad_bin_4': 0.06254304200410843, 'redshifts/nmad_bin_5': 0.034768640995025635, 'redshifts/outlier_fraction': 0.3272445499897003, 'redshifts/outlier_fraction_bin_0': 0.4880610406398773, 'redshifts/outlier_fraction_bin_1': 0.3557528257369995, 'redshifts/outlier_fraction_bin_2': 0.2604904770851135, 'redshifts/outlier_fraction_bin_3': 0.1935802400112152, 'redshifts/outlier_fraction_bin_4': 0.19180327653884888, 'redshifts/outlier_fraction_bin_5': 0.09130072593688965, 'redshifts/outlier_fraction_cata': 0.0895051509141922, 'redshifts/outlier_fraction_cata_bin_0': 0.13223515450954437, 'redshifts/outlier_fraction_cata_bin_1': 0.10128599405288696, 'redshifts/outlier_fraction_cata_bin_2': 0.07847411185503006, 'redshifts/outlier_fraction_cata_bin_3': 0.05925925821065903, 'redshifts/outlier_fraction_cata_bin_4': 0.053278688341379166, 'redshifts/outlier_fraction_cata_bin_5': 0.01681489683687687}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 571/1563 [50:49<2:02:55, 7.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36187.])\n", + "total num of pts: tensor([13254., 8801., 3676., 2030., 1221., 7205.])\n", + "{'redshifts/bias_abs': 0.07578330487012863, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.041365642100572586, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004113080911338329, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.00042794615728780627, 'redshifts/mse': 0.31274157762527466, 'redshifts/mse_bin_0': 0.43862369656562805, 'redshifts/mse_bin_1': 0.3658585250377655, 'redshifts/mse_bin_2': 0.28356266021728516, 'redshifts/mse_bin_3': 0.21386510133743286, 'redshifts/mse_bin_4': 0.22067157924175262, 'redshifts/mse_bin_5': 0.07464230060577393, 'redshifts/nmad': 0.11233499646186829, 'redshifts/nmad_bin_0': 0.2127821296453476, 'redshifts/nmad_bin_1': 0.13427028059959412, 'redshifts/nmad_bin_2': 0.08797726780176163, 'redshifts/nmad_bin_3': 0.06936760246753693, 'redshifts/nmad_bin_4': 0.06254304200410843, 'redshifts/nmad_bin_5': 0.03479794040322304, 'redshifts/outlier_fraction': 0.3272169530391693, 'redshifts/outlier_fraction_bin_0': 0.4880790710449219, 'redshifts/outlier_fraction_bin_1': 0.3558686375617981, 'redshifts/outlier_fraction_bin_2': 0.26033732295036316, 'redshifts/outlier_fraction_bin_3': 0.19310344755649567, 'redshifts/outlier_fraction_bin_4': 0.19164618849754333, 'redshifts/outlier_fraction_bin_5': 0.09118667244911194, 'redshifts/outlier_fraction_cata': 0.08953491598367691, 'redshifts/outlier_fraction_cata_bin_0': 0.13233740627765656, 'redshifts/outlier_fraction_cata_bin_1': 0.10123849660158157, 'redshifts/outlier_fraction_cata_bin_2': 0.07861806452274323, 'redshifts/outlier_fraction_cata_bin_3': 0.05911330133676529, 'redshifts/outlier_fraction_cata_bin_4': 0.05323505401611328, 'redshifts/outlier_fraction_cata_bin_5': 0.01679389365017414}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 572/1563 [50:58<2:11:52, 7.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36258.])\n", + "total num of pts: tensor([13283., 8816., 3682., 2035., 1222., 7220.])\n", + "{'redshifts/bias_abs': 0.07580774277448654, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.041365642100572586, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004125501494854689, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.007537759840488434, 'redshifts/bias_bin_5': -0.00041321158641949296, 'redshifts/mse': 0.31269294023513794, 'redshifts/mse_bin_0': 0.43843981623649597, 'redshifts/mse_bin_1': 0.3662864565849304, 'redshifts/mse_bin_2': 0.2832108438014984, 'redshifts/mse_bin_3': 0.21343298256397247, 'redshifts/mse_bin_4': 0.22050291299819946, 'redshifts/mse_bin_5': 0.07452782243490219, 'redshifts/nmad': 0.11239290237426758, 'redshifts/nmad_bin_0': 0.21280471980571747, 'redshifts/nmad_bin_1': 0.13426990807056427, 'redshifts/nmad_bin_2': 0.08786723762750626, 'redshifts/nmad_bin_3': 0.06973640620708466, 'redshifts/nmad_bin_4': 0.06254304200410843, 'redshifts/nmad_bin_5': 0.03477609530091286, 'redshifts/outlier_fraction': 0.3272657096385956, 'redshifts/outlier_fraction_bin_0': 0.48799216747283936, 'redshifts/outlier_fraction_bin_1': 0.35605716705322266, 'redshifts/outlier_fraction_bin_2': 0.26045626401901245, 'redshifts/outlier_fraction_bin_3': 0.19312039017677307, 'redshifts/outlier_fraction_bin_4': 0.19148936867713928, 'redshifts/outlier_fraction_bin_5': 0.09127423912286758, 'redshifts/outlier_fraction_cata': 0.08946990966796875, 'redshifts/outlier_fraction_cata_bin_0': 0.13219904899597168, 'redshifts/outlier_fraction_cata_bin_1': 0.10129310190677643, 'redshifts/outlier_fraction_cata_bin_2': 0.07848995178937912, 'redshifts/outlier_fraction_cata_bin_3': 0.058968059718608856, 'redshifts/outlier_fraction_cata_bin_4': 0.05319149047136307, 'redshifts/outlier_fraction_cata_bin_5': 0.016759002581238747}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 573/1563 [51:05<2:06:07, 7.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36323.])\n", + "total num of pts: tensor([13309., 8826., 3691., 2037., 1225., 7235.])\n", + "{'redshifts/bias_abs': 0.07577847689390182, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004135986790060997, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.004029902163892984, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.00041111971950158477, 'redshifts/mse': 0.3126975893974304, 'redshifts/mse_bin_0': 0.4385387897491455, 'redshifts/mse_bin_1': 0.3666975498199463, 'redshifts/mse_bin_2': 0.28261542320251465, 'redshifts/mse_bin_3': 0.21323414146900177, 'redshifts/mse_bin_4': 0.21999572217464447, 'redshifts/mse_bin_5': 0.07438304275274277, 'redshifts/nmad': 0.11230102926492691, 'redshifts/nmad_bin_0': 0.21265818178653717, 'redshifts/nmad_bin_1': 0.134102925658226, 'redshifts/nmad_bin_2': 0.08794642984867096, 'redshifts/nmad_bin_3': 0.0698888823390007, 'redshifts/nmad_bin_4': 0.06261981278657913, 'redshifts/nmad_bin_5': 0.03475752845406532, 'redshifts/outlier_fraction': 0.3271756172180176, 'redshifts/outlier_fraction_bin_0': 0.4879404902458191, 'redshifts/outlier_fraction_bin_1': 0.3559936583042145, 'redshifts/outlier_fraction_bin_2': 0.2606339752674103, 'redshifts/outlier_fraction_bin_3': 0.19293078780174255, 'redshifts/outlier_fraction_bin_4': 0.1910204142332077, 'redshifts/outlier_fraction_bin_5': 0.09108500182628632, 'redshifts/outlier_fraction_cata': 0.08944746106863022, 'redshifts/outlier_fraction_cata_bin_0': 0.13216620683670044, 'redshifts/outlier_fraction_cata_bin_1': 0.10140494257211685, 'redshifts/outlier_fraction_cata_bin_2': 0.07829856127500534, 'redshifts/outlier_fraction_cata_bin_3': 0.05891016125679016, 'redshifts/outlier_fraction_cata_bin_4': 0.05306122452020645, 'redshifts/outlier_fraction_cata_bin_5': 0.016724256798624992}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 574/1563 [51:12<2:05:02, 7.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36381.])\n", + "total num of pts: tensor([13339., 8837., 3694., 2040., 1228., 7243.])\n", + "{'redshifts/bias_abs': 0.07580768316984177, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.041365642100572586, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004166455008089542, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010628738440573215, 'redshifts/bias_bin_2': -0.004088081885129213, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.00039525399915874004, 'redshifts/mse': 0.3132989704608917, 'redshifts/mse_bin_0': 0.43975189328193665, 'redshifts/mse_bin_1': 0.3674086034297943, 'redshifts/mse_bin_2': 0.2823896110057831, 'redshifts/mse_bin_3': 0.21292629837989807, 'redshifts/mse_bin_4': 0.21947963535785675, 'redshifts/mse_bin_5': 0.07434367388486862, 'redshifts/nmad': 0.1123400330543518, 'redshifts/nmad_bin_0': 0.21296823024749756, 'redshifts/nmad_bin_1': 0.1343916356563568, 'redshifts/nmad_bin_2': 0.08769838511943817, 'redshifts/nmad_bin_3': 0.06973443180322647, 'redshifts/nmad_bin_4': 0.06239629164338112, 'redshifts/nmad_bin_5': 0.03474947065114975, 'redshifts/outlier_fraction': 0.3272862136363983, 'redshifts/outlier_fraction_bin_0': 0.48804259300231934, 'redshifts/outlier_fraction_bin_1': 0.35611632466316223, 'redshifts/outlier_fraction_bin_2': 0.26042231917381287, 'redshifts/outlier_fraction_bin_3': 0.1926470547914505, 'redshifts/outlier_fraction_bin_4': 0.19055373966693878, 'redshifts/outlier_fraction_bin_5': 0.09126053005456924, 'redshifts/outlier_fraction_cata': 0.08957972377538681, 'redshifts/outlier_fraction_cata_bin_0': 0.13246870040893555, 'redshifts/outlier_fraction_cata_bin_1': 0.10150503367185593, 'redshifts/outlier_fraction_cata_bin_2': 0.07823497802019119, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.05293159559369087, 'redshifts/outlier_fraction_cata_bin_5': 0.01670578494668007}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 575/1563 [51:20<2:04:36, 7.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36455.])\n", + "total num of pts: tensor([13359., 8854., 3701., 2047., 1230., 7264.])\n", + "{'redshifts/bias_abs': 0.07581054419279099, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02334142103791237, 'redshifts/bias': 0.004165236372500658, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010589889250695705, 'redshifts/bias_bin_2': -0.0041073900647461414, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.00041321158641949296, 'redshifts/mse': 0.3132057189941406, 'redshifts/mse_bin_0': 0.4399431645870209, 'redshifts/mse_bin_1': 0.3669278621673584, 'redshifts/mse_bin_2': 0.2834678590297699, 'redshifts/mse_bin_3': 0.21227772533893585, 'redshifts/mse_bin_4': 0.21916158497333527, 'redshifts/mse_bin_5': 0.07416550070047379, 'redshifts/nmad': 0.11238475888967514, 'redshifts/nmad_bin_0': 0.21325021982192993, 'redshifts/nmad_bin_1': 0.13442249596118927, 'redshifts/nmad_bin_2': 0.08793962001800537, 'redshifts/nmad_bin_3': 0.06953974068164825, 'redshifts/nmad_bin_4': 0.06240054965019226, 'redshifts/nmad_bin_5': 0.03470899537205696, 'redshifts/outlier_fraction': 0.3272527754306793, 'redshifts/outlier_fraction_bin_0': 0.48821020126342773, 'redshifts/outlier_fraction_bin_1': 0.35611024498939514, 'redshifts/outlier_fraction_bin_2': 0.26128074526786804, 'redshifts/outlier_fraction_bin_3': 0.1919882744550705, 'redshifts/outlier_fraction_bin_4': 0.1902438998222351, 'redshifts/outlier_fraction_bin_5': 0.09099669754505157, 'redshifts/outlier_fraction_cata': 0.0895899087190628, 'redshifts/outlier_fraction_cata_bin_0': 0.1326446533203125, 'redshifts/outlier_fraction_cata_bin_1': 0.10131014138460159, 'redshifts/outlier_fraction_cata_bin_2': 0.07862740010023117, 'redshifts/outlier_fraction_cata_bin_3': 0.05862237513065338, 'redshifts/outlier_fraction_cata_bin_4': 0.05284553021192551, 'redshifts/outlier_fraction_cata_bin_5': 0.01665748842060566}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 576/1563 [51:26<1:58:15, 7.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36510.])\n", + "total num of pts: tensor([13378., 8872., 3705., 2049., 1230., 7276.])\n", + "{'redshifts/bias_abs': 0.07580774277448654, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023347405716776848, 'redshifts/bias': 0.004164054989814758, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.0041073900647461414, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.00039525399915874004, 'redshifts/mse': 0.3131955862045288, 'redshifts/mse_bin_0': 0.4399464428424835, 'redshifts/mse_bin_1': 0.367017924785614, 'redshifts/mse_bin_2': 0.28340640664100647, 'redshifts/mse_bin_3': 0.21207056939601898, 'redshifts/mse_bin_4': 0.21916158497333527, 'redshifts/mse_bin_5': 0.07406309247016907, 'redshifts/nmad': 0.11237698048353195, 'redshifts/nmad_bin_0': 0.21298576891422272, 'redshifts/nmad_bin_1': 0.13453035056591034, 'redshifts/nmad_bin_2': 0.08793962001800537, 'redshifts/nmad_bin_3': 0.0695129856467247, 'redshifts/nmad_bin_4': 0.06240054965019226, 'redshifts/nmad_bin_5': 0.034734003245830536, 'redshifts/outlier_fraction': 0.3271980285644531, 'redshifts/outlier_fraction_bin_0': 0.4881148040294647, 'redshifts/outlier_fraction_bin_1': 0.3560640215873718, 'redshifts/outlier_fraction_bin_2': 0.26153847575187683, 'redshifts/outlier_fraction_bin_3': 0.19180087745189667, 'redshifts/outlier_fraction_bin_4': 0.1902438998222351, 'redshifts/outlier_fraction_bin_5': 0.09084662050008774, 'redshifts/outlier_fraction_cata': 0.0895645022392273, 'redshifts/outlier_fraction_cata_bin_0': 0.13260577619075775, 'redshifts/outlier_fraction_cata_bin_1': 0.10133002698421478, 'redshifts/outlier_fraction_cata_bin_2': 0.07854250818490982, 'redshifts/outlier_fraction_cata_bin_3': 0.058565154671669006, 'redshifts/outlier_fraction_cata_bin_4': 0.05284553021192551, 'redshifts/outlier_fraction_cata_bin_5': 0.016630016267299652}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 577/1563 [51:33<1:55:29, 7.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36562.])\n", + "total num of pts: tensor([13396., 8888., 3707., 2052., 1234., 7285.])\n", + "{'redshifts/bias_abs': 0.07581827789545059, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023381708189845085, 'redshifts/bias': 0.004168228711932898, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.004088081885129213, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.007356623653322458, 'redshifts/bias_bin_5': -0.00039525399915874004, 'redshifts/mse': 0.3132389187812805, 'redshifts/mse_bin_0': 0.439801424741745, 'redshifts/mse_bin_1': 0.36660271883010864, 'redshifts/mse_bin_2': 0.28368136286735535, 'redshifts/mse_bin_3': 0.2150663584470749, 'redshifts/mse_bin_4': 0.2190185934305191, 'redshifts/mse_bin_5': 0.07405976206064224, 'redshifts/nmad': 0.11245624721050262, 'redshifts/nmad_bin_0': 0.21316273510456085, 'redshifts/nmad_bin_1': 0.13460104167461395, 'redshifts/nmad_bin_2': 0.08796824514865875, 'redshifts/nmad_bin_3': 0.06953974068164825, 'redshifts/nmad_bin_4': 0.06269624829292297, 'redshifts/nmad_bin_5': 0.03475905954837799, 'redshifts/outlier_fraction': 0.3273344039916992, 'redshifts/outlier_fraction_bin_0': 0.4881307780742645, 'redshifts/outlier_fraction_bin_1': 0.3562106192111969, 'redshifts/outlier_fraction_bin_2': 0.2616671025753021, 'redshifts/outlier_fraction_bin_3': 0.19200779497623444, 'redshifts/outlier_fraction_bin_4': 0.19124796986579895, 'redshifts/outlier_fraction_bin_5': 0.09100892394781113, 'redshifts/outlier_fraction_cata': 0.08951917290687561, 'redshifts/outlier_fraction_cata_bin_0': 0.1325022429227829, 'redshifts/outlier_fraction_cata_bin_1': 0.1011476144194603, 'redshifts/outlier_fraction_cata_bin_2': 0.07876989245414734, 'redshifts/outlier_fraction_cata_bin_3': 0.05896686017513275, 'redshifts/outlier_fraction_cata_bin_4': 0.05267423018813133, 'redshifts/outlier_fraction_cata_bin_5': 0.016609471291303635}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 578/1563 [51:40<1:56:23, 7.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36634.])\n", + "total num of pts: tensor([13420., 8905., 3713., 2057., 1237., 7302.])\n", + "{'redshifts/bias_abs': 0.07581369578838348, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023376263678073883, 'redshifts/bias': 0.004168228711932898, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.004086791537702084, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.00041321158641949296, 'redshifts/mse': 0.3132486939430237, 'redshifts/mse_bin_0': 0.43982693552970886, 'redshifts/mse_bin_1': 0.36700302362442017, 'redshifts/mse_bin_2': 0.2837488055229187, 'redshifts/mse_bin_3': 0.2145509123802185, 'redshifts/mse_bin_4': 0.21849873661994934, 'redshifts/mse_bin_5': 0.07391952723264694, 'redshifts/nmad': 0.1124529242515564, 'redshifts/nmad_bin_0': 0.21327832341194153, 'redshifts/nmad_bin_1': 0.13458316028118134, 'redshifts/nmad_bin_2': 0.0880785584449768, 'redshifts/nmad_bin_3': 0.06923583149909973, 'redshifts/nmad_bin_4': 0.06287043541669846, 'redshifts/nmad_bin_5': 0.03477609530091286, 'redshifts/outlier_fraction': 0.3273734748363495, 'redshifts/outlier_fraction_bin_0': 0.4882265329360962, 'redshifts/outlier_fraction_bin_1': 0.3565412759780884, 'redshifts/outlier_fraction_bin_2': 0.2617829144001007, 'redshifts/outlier_fraction_bin_3': 0.19154107570648193, 'redshifts/outlier_fraction_bin_4': 0.19078415632247925, 'redshifts/outlier_fraction_bin_5': 0.09093399345874786, 'redshifts/outlier_fraction_cata': 0.08953431248664856, 'redshifts/outlier_fraction_cata_bin_0': 0.13248881697654724, 'redshifts/outlier_fraction_cata_bin_1': 0.10129141062498093, 'redshifts/outlier_fraction_cata_bin_2': 0.0789119303226471, 'redshifts/outlier_fraction_cata_bin_3': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_4': 0.052546482533216476, 'redshifts/outlier_fraction_cata_bin_5': 0.0165708027780056}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 579/1563 [51:46<1:50:14, 6.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36687.])\n", + "total num of pts: tensor([13439., 8920., 3719., 2058., 1237., 7314.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.00418081134557724, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.007353750988841057, 'redshifts/bias_bin_5': -0.00039107576594688, 'redshifts/mse': 0.31333401799201965, 'redshifts/mse_bin_0': 0.4400468170642853, 'redshifts/mse_bin_1': 0.36731088161468506, 'redshifts/mse_bin_2': 0.28329789638519287, 'redshifts/mse_bin_3': 0.2144469916820526, 'redshifts/mse_bin_4': 0.21849873661994934, 'redshifts/mse_bin_5': 0.0738176703453064, 'redshifts/nmad': 0.11240182816982269, 'redshifts/nmad_bin_0': 0.21348616480827332, 'redshifts/nmad_bin_1': 0.13450561463832855, 'redshifts/nmad_bin_2': 0.08797726780176163, 'redshifts/nmad_bin_3': 0.06900597363710403, 'redshifts/nmad_bin_4': 0.06287043541669846, 'redshifts/nmad_bin_5': 0.03476525470614433, 'redshifts/outlier_fraction': 0.3273366689682007, 'redshifts/outlier_fraction_bin_0': 0.4884291887283325, 'redshifts/outlier_fraction_bin_1': 0.3563901484012604, 'redshifts/outlier_fraction_bin_2': 0.2613605856895447, 'redshifts/outlier_fraction_bin_3': 0.19144800305366516, 'redshifts/outlier_fraction_bin_4': 0.19078415632247925, 'redshifts/outlier_fraction_bin_5': 0.09078479558229446, 'redshifts/outlier_fraction_cata': 0.08956851065158844, 'redshifts/outlier_fraction_cata_bin_0': 0.13267356157302856, 'redshifts/outlier_fraction_cata_bin_1': 0.10123318433761597, 'redshifts/outlier_fraction_cata_bin_2': 0.07878462225198746, 'redshifts/outlier_fraction_cata_bin_3': 0.05879494547843933, 'redshifts/outlier_fraction_cata_bin_4': 0.052546482533216476, 'redshifts/outlier_fraction_cata_bin_5': 0.016543615609407425}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 580/1563 [51:51<1:40:13, 6.12s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36751.])\n", + "total num of pts: tensor([13463., 8932., 3731., 2061., 1239., 7325.])\n", + "{'redshifts/bias_abs': 0.07581054419279099, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.023381708189845085, 'redshifts/bias': 0.0041963690891861916, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.000369340181350708, 'redshifts/mse': 0.3135046064853668, 'redshifts/mse_bin_0': 0.44027000665664673, 'redshifts/mse_bin_1': 0.36767348647117615, 'redshifts/mse_bin_2': 0.28368011116981506, 'redshifts/mse_bin_3': 0.2142443060874939, 'redshifts/mse_bin_4': 0.21814873814582825, 'redshifts/mse_bin_5': 0.07371401786804199, 'redshifts/nmad': 0.11242488771677017, 'redshifts/nmad_bin_0': 0.21387380361557007, 'redshifts/nmad_bin_1': 0.13453035056591034, 'redshifts/nmad_bin_2': 0.08813316375017166, 'redshifts/nmad_bin_3': 0.06906364858150482, 'redshifts/nmad_bin_4': 0.06275467574596405, 'redshifts/nmad_bin_5': 0.03473300114274025, 'redshifts/outlier_fraction': 0.3274468779563904, 'redshifts/outlier_fraction_bin_0': 0.4887469410896301, 'redshifts/outlier_fraction_bin_1': 0.3563591539859772, 'redshifts/outlier_fraction_bin_2': 0.2615920603275299, 'redshifts/outlier_fraction_bin_3': 0.1916545331478119, 'redshifts/outlier_fraction_bin_4': 0.190476194024086, 'redshifts/outlier_fraction_bin_5': 0.09064846485853195, 'redshifts/outlier_fraction_cata': 0.08965742588043213, 'redshifts/outlier_fraction_cata_bin_0': 0.13280843198299408, 'redshifts/outlier_fraction_cata_bin_1': 0.10132109373807907, 'redshifts/outlier_fraction_cata_bin_2': 0.07906727492809296, 'redshifts/outlier_fraction_cata_bin_3': 0.058709364384412766, 'redshifts/outlier_fraction_cata_bin_4': 0.0524616613984108, 'redshifts/outlier_fraction_cata_bin_5': 0.016518771648406982}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 581/1563 [51:59<1:50:20, 6.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36823.])\n", + "total num of pts: tensor([13490., 8954., 3735., 2066., 1241., 7337.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004169044084846973, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.0003578159085009247, 'redshifts/mse': 0.3133772313594818, 'redshifts/mse_bin_0': 0.43995073437690735, 'redshifts/mse_bin_1': 0.36771276593208313, 'redshifts/mse_bin_2': 0.2838065028190613, 'redshifts/mse_bin_3': 0.21379655599594116, 'redshifts/mse_bin_4': 0.21779859066009521, 'redshifts/mse_bin_5': 0.07360769063234329, 'redshifts/nmad': 0.11235635727643967, 'redshifts/nmad_bin_0': 0.21365541219711304, 'redshifts/nmad_bin_1': 0.1343332678079605, 'redshifts/nmad_bin_2': 0.08807340264320374, 'redshifts/nmad_bin_3': 0.06917702406644821, 'redshifts/nmad_bin_4': 0.06256138533353806, 'redshifts/nmad_bin_5': 0.03470397740602493, 'redshifts/outlier_fraction': 0.3272682726383209, 'redshifts/outlier_fraction_bin_0': 0.48851001262664795, 'redshifts/outlier_fraction_bin_1': 0.3560419976711273, 'redshifts/outlier_fraction_bin_2': 0.2615796625614166, 'redshifts/outlier_fraction_bin_3': 0.191190704703331, 'redshifts/outlier_fraction_bin_4': 0.19016921520233154, 'redshifts/outlier_fraction_bin_5': 0.09063649922609329, 'redshifts/outlier_fraction_cata': 0.08961790055036545, 'redshifts/outlier_fraction_cata_bin_0': 0.13269087672233582, 'redshifts/outlier_fraction_cata_bin_1': 0.10129550844430923, 'redshifts/outlier_fraction_cata_bin_2': 0.07925033569335938, 'redshifts/outlier_fraction_cata_bin_3': 0.05856727808713913, 'redshifts/outlier_fraction_cata_bin_4': 0.052377115935087204, 'redshifts/outlier_fraction_cata_bin_5': 0.016491753980517387}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 582/1563 [52:04<1:40:24, 6.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36884.])\n", + "total num of pts: tensor([13511., 8970., 3744., 2068., 1243., 7348.])\n", + "{'redshifts/bias_abs': 0.07577252388000488, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.041365642100572586, 'redshifts/bias_abs_bin_5': 0.02334142103791237, 'redshifts/bias': 0.004165236372500658, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.003944259602576494, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0003904172917827964, 'redshifts/mse': 0.31326955556869507, 'redshifts/mse_bin_0': 0.4398607909679413, 'redshifts/mse_bin_1': 0.36782172322273254, 'redshifts/mse_bin_2': 0.2831798195838928, 'redshifts/mse_bin_3': 0.21359969675540924, 'redshifts/mse_bin_4': 0.21744930744171143, 'redshifts/mse_bin_5': 0.07350161671638489, 'redshifts/nmad': 0.11230240017175674, 'redshifts/nmad_bin_0': 0.21379533410072327, 'redshifts/nmad_bin_1': 0.134355366230011, 'redshifts/nmad_bin_2': 0.08786723762750626, 'redshifts/nmad_bin_3': 0.0691893920302391, 'redshifts/nmad_bin_4': 0.062298424541950226, 'redshifts/nmad_bin_5': 0.034675199538469315, 'redshifts/outlier_fraction': 0.3271879553794861, 'redshifts/outlier_fraction_bin_0': 0.4885648787021637, 'redshifts/outlier_fraction_bin_1': 0.355964332818985, 'redshifts/outlier_fraction_bin_2': 0.26121795177459717, 'redshifts/outlier_fraction_bin_3': 0.19100579619407654, 'redshifts/outlier_fraction_bin_4': 0.18986323475837708, 'redshifts/outlier_fraction_bin_5': 0.09050081670284271, 'redshifts/outlier_fraction_cata': 0.08957813680171967, 'redshifts/outlier_fraction_cata_bin_0': 0.13263267278671265, 'redshifts/outlier_fraction_cata_bin_1': 0.10133779048919678, 'redshifts/outlier_fraction_cata_bin_2': 0.07905983179807663, 'redshifts/outlier_fraction_cata_bin_3': 0.058510638773441315, 'redshifts/outlier_fraction_cata_bin_4': 0.0522928386926651, 'redshifts/outlier_fraction_cata_bin_5': 0.01646706648170948}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 583/1563 [52:10<1:41:04, 6.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([36945.])\n", + "total num of pts: tensor([13531., 8984., 3751., 2075., 1245., 7359.])\n", + "{'redshifts/bias_abs': 0.07575347274541855, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.041365642100572586, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004154780879616737, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.003925652708858252, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0003904172917827964, 'redshifts/mse': 0.31328096985816956, 'redshifts/mse_bin_0': 0.43978792428970337, 'redshifts/mse_bin_1': 0.368395060300827, 'redshifts/mse_bin_2': 0.28274571895599365, 'redshifts/mse_bin_3': 0.21298973262310028, 'redshifts/mse_bin_4': 0.21770620346069336, 'redshifts/mse_bin_5': 0.0734025090932846, 'redshifts/nmad': 0.11231790482997894, 'redshifts/nmad_bin_0': 0.21360915899276733, 'redshifts/nmad_bin_1': 0.13444961607456207, 'redshifts/nmad_bin_2': 0.08783965557813644, 'redshifts/nmad_bin_3': 0.06911309063434601, 'redshifts/nmad_bin_4': 0.062298424541950226, 'redshifts/nmad_bin_5': 0.03474229946732521, 'redshifts/outlier_fraction': 0.3272702693939209, 'redshifts/outlier_fraction_bin_0': 0.48843395709991455, 'redshifts/outlier_fraction_bin_1': 0.35652270913124084, 'redshifts/outlier_fraction_bin_2': 0.2612636685371399, 'redshifts/outlier_fraction_bin_3': 0.1908433735370636, 'redshifts/outlier_fraction_bin_4': 0.19036144018173218, 'redshifts/outlier_fraction_bin_5': 0.09050142765045166, 'redshifts/outlier_fraction_cata': 0.08959263563156128, 'redshifts/outlier_fraction_cata_bin_0': 0.13265834748744965, 'redshifts/outlier_fraction_cata_bin_1': 0.1015138030052185, 'redshifts/outlier_fraction_cata_bin_2': 0.07891228795051575, 'redshifts/outlier_fraction_cata_bin_3': 0.05831325426697731, 'redshifts/outlier_fraction_cata_bin_4': 0.05220883712172508, 'redshifts/outlier_fraction_cata_bin_5': 0.016442451626062393}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 584/1563 [52:15<1:36:31, 5.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37029.])\n", + "total num of pts: tensor([13561., 9004., 3758., 2079., 1249., 7378.])\n", + "{'redshifts/bias_abs': 0.07571227848529816, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004171609878540039, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.0037054959684610367, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0003904172917827964, 'redshifts/mse': 0.31310465931892395, 'redshifts/mse_bin_0': 0.4396136403083801, 'redshifts/mse_bin_1': 0.368507444858551, 'redshifts/mse_bin_2': 0.2822551727294922, 'redshifts/mse_bin_3': 0.212593212723732, 'redshifts/mse_bin_4': 0.2170981466770172, 'redshifts/mse_bin_5': 0.07325410842895508, 'redshifts/nmad': 0.11224944144487381, 'redshifts/nmad_bin_0': 0.21361947059631348, 'redshifts/nmad_bin_1': 0.1344367116689682, 'redshifts/nmad_bin_2': 0.08778075873851776, 'redshifts/nmad_bin_3': 0.06908249855041504, 'redshifts/nmad_bin_4': 0.0625176951289177, 'redshifts/nmad_bin_5': 0.03474229946732521, 'redshifts/outlier_fraction': 0.3271219730377197, 'redshifts/outlier_fraction_bin_0': 0.4883858263492584, 'redshifts/outlier_fraction_bin_1': 0.356619268655777, 'redshifts/outlier_fraction_bin_2': 0.26077699661254883, 'redshifts/outlier_fraction_bin_3': 0.190476194024086, 'redshifts/outlier_fraction_bin_4': 0.18975180387496948, 'redshifts/outlier_fraction_bin_5': 0.09026836603879929, 'redshifts/outlier_fraction_cata': 0.08955143392086029, 'redshifts/outlier_fraction_cata_bin_0': 0.13265983760356903, 'redshifts/outlier_fraction_cata_bin_1': 0.1015104427933693, 'redshifts/outlier_fraction_cata_bin_2': 0.07876530289649963, 'redshifts/outlier_fraction_cata_bin_3': 0.05820105969905853, 'redshifts/outlier_fraction_cata_bin_4': 0.052041634917259216, 'redshifts/outlier_fraction_cata_bin_5': 0.016400108113884926}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 585/1563 [52:21<1:34:05, 5.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37094.])\n", + "total num of pts: tensor([13591., 9017., 3764., 2082., 1252., 7388.])\n", + "{'redshifts/bias_abs': 0.07572967559099197, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041365642100572586, 'redshifts/bias_abs_bin_5': 0.023347405716776848, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.007317216135561466, 'redshifts/bias_bin_5': -0.000377354008378461, 'redshifts/mse': 0.3129428029060364, 'redshifts/mse_bin_0': 0.43950000405311584, 'redshifts/mse_bin_1': 0.3681236803531647, 'redshifts/mse_bin_2': 0.28197383880615234, 'redshifts/mse_bin_3': 0.2124428153038025, 'redshifts/mse_bin_4': 0.21688547730445862, 'redshifts/mse_bin_5': 0.07315919548273087, 'redshifts/nmad': 0.11227081716060638, 'redshifts/nmad_bin_0': 0.21360915899276733, 'redshifts/nmad_bin_1': 0.1344667226076126, 'redshifts/nmad_bin_2': 0.08779534697532654, 'redshifts/nmad_bin_3': 0.06903338432312012, 'redshifts/nmad_bin_4': 0.062342118471860886, 'redshifts/nmad_bin_5': 0.034712549299001694, 'redshifts/outlier_fraction': 0.3271688222885132, 'redshifts/outlier_fraction_bin_0': 0.48848503828048706, 'redshifts/outlier_fraction_bin_1': 0.3564378321170807, 'redshifts/outlier_fraction_bin_2': 0.2608926594257355, 'redshifts/outlier_fraction_bin_3': 0.1906820386648178, 'redshifts/outlier_fraction_bin_4': 0.19009584188461304, 'redshifts/outlier_fraction_bin_5': 0.09014618396759033, 'redshifts/outlier_fraction_cata': 0.08947538584470749, 'redshifts/outlier_fraction_cata_bin_0': 0.1325877457857132, 'redshifts/outlier_fraction_cata_bin_1': 0.10136409103870392, 'redshifts/outlier_fraction_cata_bin_2': 0.07863974571228027, 'redshifts/outlier_fraction_cata_bin_3': 0.05811719596385956, 'redshifts/outlier_fraction_cata_bin_4': 0.0519169345498085, 'redshifts/outlier_fraction_cata_bin_5': 0.01637791097164154}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 37%|███▋ | 586/1563 [52:28<1:41:43, 6.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37155.])\n", + "total num of pts: tensor([13620., 9031., 3769., 2085., 1253., 7397.])\n", + "{'redshifts/bias_abs': 0.07579158991575241, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023347405716776848, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.0003904172917827964, 'redshifts/mse': 0.3131556212902069, 'redshifts/mse_bin_0': 0.43941253423690796, 'redshifts/mse_bin_1': 0.36880987882614136, 'redshifts/mse_bin_2': 0.2825952172279358, 'redshifts/mse_bin_3': 0.2121557742357254, 'redshifts/mse_bin_4': 0.2167222797870636, 'redshifts/mse_bin_5': 0.07310909032821655, 'redshifts/nmad': 0.11239432543516159, 'redshifts/nmad_bin_0': 0.21360915899276733, 'redshifts/nmad_bin_1': 0.13448379933834076, 'redshifts/nmad_bin_2': 0.08780357241630554, 'redshifts/nmad_bin_3': 0.06904816627502441, 'redshifts/nmad_bin_4': 0.0625176951289177, 'redshifts/nmad_bin_5': 0.034726835787296295, 'redshifts/outlier_fraction': 0.32730454206466675, 'redshifts/outlier_fraction_bin_0': 0.48861968517303467, 'redshifts/outlier_fraction_bin_1': 0.3565496504306793, 'redshifts/outlier_fraction_bin_2': 0.2610771954059601, 'redshifts/outlier_fraction_bin_3': 0.1904076784849167, 'redshifts/outlier_fraction_bin_4': 0.18994413316249847, 'redshifts/outlier_fraction_bin_5': 0.0901716947555542, 'redshifts/outlier_fraction_cata': 0.08954380452632904, 'redshifts/outlier_fraction_cata_bin_0': 0.1325991153717041, 'redshifts/outlier_fraction_cata_bin_1': 0.10142841190099716, 'redshifts/outlier_fraction_cata_bin_2': 0.07906606793403625, 'redshifts/outlier_fraction_cata_bin_3': 0.058033574372529984, 'redshifts/outlier_fraction_cata_bin_4': 0.05187549814581871, 'redshifts/outlier_fraction_cata_bin_5': 0.01635798253118992}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 587/1563 [52:34<1:38:16, 6.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37225.])\n", + "total num of pts: tensor([13648., 9054., 3774., 2088., 1253., 7408.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02334142103791237, 'redshifts/bias': 0.004175752401351929, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.00039107576594688, 'redshifts/mse': 0.3132164478302002, 'redshifts/mse_bin_0': 0.43974488973617554, 'redshifts/mse_bin_1': 0.3685953617095947, 'redshifts/mse_bin_2': 0.28242021799087524, 'redshifts/mse_bin_3': 0.21186207234859467, 'redshifts/mse_bin_4': 0.2167222797870636, 'redshifts/mse_bin_5': 0.07300474494695663, 'redshifts/nmad': 0.1124003455042839, 'redshifts/nmad_bin_0': 0.2136084884405136, 'redshifts/nmad_bin_1': 0.13438855111598969, 'redshifts/nmad_bin_2': 0.08782927691936493, 'redshifts/nmad_bin_3': 0.068904809653759, 'redshifts/nmad_bin_4': 0.0625176951289177, 'redshifts/nmad_bin_5': 0.03469220548868179, 'redshifts/outlier_fraction': 0.32722634077072144, 'redshifts/outlier_fraction_bin_0': 0.48864302039146423, 'redshifts/outlier_fraction_bin_1': 0.35619616508483887, 'redshifts/outlier_fraction_bin_2': 0.2609962821006775, 'redshifts/outlier_fraction_bin_3': 0.19013409316539764, 'redshifts/outlier_fraction_bin_4': 0.18994413316249847, 'redshifts/outlier_fraction_bin_5': 0.09003780037164688, 'redshifts/outlier_fraction_cata': 0.08964405953884125, 'redshifts/outlier_fraction_cata_bin_0': 0.1329132467508316, 'redshifts/outlier_fraction_cata_bin_1': 0.10139165073633194, 'redshifts/outlier_fraction_cata_bin_2': 0.0789613127708435, 'redshifts/outlier_fraction_cata_bin_3': 0.05795019119977951, 'redshifts/outlier_fraction_cata_bin_4': 0.05187549814581871, 'redshifts/outlier_fraction_cata_bin_5': 0.016333693638443947}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 588/1563 [52:39<1:33:44, 5.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37289.])\n", + "total num of pts: tensor([13669., 9068., 3782., 2091., 1256., 7423.])\n", + "{'redshifts/bias_abs': 0.07579158991575241, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.0042060911655426025, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.00041321158641949296, 'redshifts/mse': 0.3130500018596649, 'redshifts/mse_bin_0': 0.43950581550598145, 'redshifts/mse_bin_1': 0.3686802089214325, 'redshifts/mse_bin_2': 0.28188684582710266, 'redshifts/mse_bin_3': 0.21157081425189972, 'redshifts/mse_bin_4': 0.2162073254585266, 'redshifts/mse_bin_5': 0.07308218628168106, 'redshifts/nmad': 0.11230143904685974, 'redshifts/nmad_bin_0': 0.21347437798976898, 'redshifts/nmad_bin_1': 0.1345287561416626, 'redshifts/nmad_bin_2': 0.08773194998502731, 'redshifts/nmad_bin_3': 0.06876514852046967, 'redshifts/nmad_bin_4': 0.06217237189412117, 'redshifts/nmad_bin_5': 0.03473243489861488, 'redshifts/outlier_fraction': 0.3272010385990143, 'redshifts/outlier_fraction_bin_0': 0.4886970520019531, 'redshifts/outlier_fraction_bin_1': 0.3564181625843048, 'redshifts/outlier_fraction_bin_2': 0.2604442238807678, 'redshifts/outlier_fraction_bin_3': 0.18986131250858307, 'redshifts/outlier_fraction_bin_4': 0.1894904524087906, 'redshifts/outlier_fraction_bin_5': 0.09012528508901596, 'redshifts/outlier_fraction_cata': 0.08957064896821976, 'redshifts/outlier_fraction_cata_bin_0': 0.1327822059392929, 'redshifts/outlier_fraction_cata_bin_1': 0.10134539008140564, 'redshifts/outlier_fraction_cata_bin_2': 0.07879428565502167, 'redshifts/outlier_fraction_cata_bin_3': 0.05786705017089844, 'redshifts/outlier_fraction_cata_bin_4': 0.05175159126520157, 'redshifts/outlier_fraction_cata_bin_5': 0.016435403376817703}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 589/1563 [52:45<1:36:43, 5.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37353.])\n", + "total num of pts: tensor([13692., 9083., 3786., 2099., 1256., 7437.])\n", + "{'redshifts/bias_abs': 0.07581369578838348, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04136308655142784, 'redshifts/bias_abs_bin_5': 0.023376263678073883, 'redshifts/bias': 0.004201077856123447, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.00041111971950158477, 'redshifts/mse': 0.31325021386146545, 'redshifts/mse_bin_0': 0.4397219121456146, 'redshifts/mse_bin_1': 0.3691639006137848, 'redshifts/mse_bin_2': 0.28218963742256165, 'redshifts/mse_bin_3': 0.21154938638210297, 'redshifts/mse_bin_4': 0.2162073254585266, 'redshifts/mse_bin_5': 0.07302554696798325, 'redshifts/nmad': 0.11243957281112671, 'redshifts/nmad_bin_0': 0.21345187723636627, 'redshifts/nmad_bin_1': 0.13458064198493958, 'redshifts/nmad_bin_2': 0.0878424122929573, 'redshifts/nmad_bin_3': 0.06904816627502441, 'redshifts/nmad_bin_4': 0.06217237189412117, 'redshifts/nmad_bin_5': 0.03477299213409424, 'redshifts/outlier_fraction': 0.32733649015426636, 'redshifts/outlier_fraction_bin_0': 0.4885334372520447, 'redshifts/outlier_fraction_bin_1': 0.3567103445529938, 'redshifts/outlier_fraction_bin_2': 0.2609614431858063, 'redshifts/outlier_fraction_bin_3': 0.19056694209575653, 'redshifts/outlier_fraction_bin_4': 0.1894904524087906, 'redshifts/outlier_fraction_bin_5': 0.09035901725292206, 'redshifts/outlier_fraction_cata': 0.08963135629892349, 'redshifts/outlier_fraction_cata_bin_0': 0.13277827203273773, 'redshifts/outlier_fraction_cata_bin_1': 0.10150831192731857, 'redshifts/outlier_fraction_cata_bin_2': 0.07897517085075378, 'redshifts/outlier_fraction_cata_bin_3': 0.0581229142844677, 'redshifts/outlier_fraction_cata_bin_4': 0.05175159126520157, 'redshifts/outlier_fraction_cata_bin_5': 0.016404464840888977}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 590/1563 [52:50<1:33:35, 5.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37417.])\n", + "total num of pts: tensor([13710., 9103., 3795., 2103., 1257., 7449.])\n", + "{'redshifts/bias_abs': 0.07580774277448654, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041365642100572586, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004209011793136597, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.007287745829671621, 'redshifts/bias_bin_5': -0.00039525399915874004, 'redshifts/mse': 0.31322863698005676, 'redshifts/mse_bin_0': 0.4398781955242157, 'redshifts/mse_bin_1': 0.3686661422252655, 'redshifts/mse_bin_2': 0.28235146403312683, 'redshifts/mse_bin_3': 0.21245898306369781, 'redshifts/mse_bin_4': 0.21605736017227173, 'redshifts/mse_bin_5': 0.0729602500796318, 'redshifts/nmad': 0.11242780834436417, 'redshifts/nmad_bin_0': 0.21363018453121185, 'redshifts/nmad_bin_1': 0.13433364033699036, 'redshifts/nmad_bin_2': 0.0878913626074791, 'redshifts/nmad_bin_3': 0.06910848617553711, 'redshifts/nmad_bin_4': 0.062298424541950226, 'redshifts/nmad_bin_5': 0.03473817929625511, 'redshifts/outlier_fraction': 0.32736456394195557, 'redshifts/outlier_fraction_bin_0': 0.48869436979293823, 'redshifts/outlier_fraction_bin_1': 0.3562561869621277, 'redshifts/outlier_fraction_bin_2': 0.261396586894989, 'redshifts/outlier_fraction_bin_3': 0.19115549325942993, 'redshifts/outlier_fraction_bin_4': 0.18933969736099243, 'redshifts/outlier_fraction_bin_5': 0.0904819443821907, 'redshifts/outlier_fraction_cata': 0.08969185501337051, 'redshifts/outlier_fraction_cata_bin_0': 0.13296863436698914, 'redshifts/outlier_fraction_cata_bin_1': 0.1013951450586319, 'redshifts/outlier_fraction_cata_bin_2': 0.07905138283967972, 'redshifts/outlier_fraction_cata_bin_3': 0.058487873524427414, 'redshifts/outlier_fraction_cata_bin_4': 0.051710423082113266, 'redshifts/outlier_fraction_cata_bin_5': 0.016378037631511688}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 591/1563 [52:55<1:26:19, 5.33s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37480.])\n", + "total num of pts: tensor([13730., 9122., 3799., 2109., 1259., 7461.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023347405716776848, 'redshifts/bias': 0.004209383390843868, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.007183867506682873, 'redshifts/bias_bin_5': -0.00039107576594688, 'redshifts/mse': 0.3131638169288635, 'redshifts/mse_bin_0': 0.43985608220100403, 'redshifts/mse_bin_1': 0.36871033906936646, 'redshifts/mse_bin_2': 0.28206151723861694, 'redshifts/mse_bin_3': 0.21196281909942627, 'redshifts/mse_bin_4': 0.21653173863887787, 'redshifts/mse_bin_5': 0.0728585496544838, 'redshifts/nmad': 0.11236540228128433, 'redshifts/nmad_bin_0': 0.2134392410516739, 'redshifts/nmad_bin_1': 0.13424241542816162, 'redshifts/nmad_bin_2': 0.08785253018140793, 'redshifts/nmad_bin_3': 0.06909307837486267, 'redshifts/nmad_bin_4': 0.06236368790268898, 'redshifts/nmad_bin_5': 0.03472781181335449, 'redshifts/outlier_fraction': 0.32732123136520386, 'redshifts/outlier_fraction_bin_0': 0.4886380136013031, 'redshifts/outlier_fraction_bin_1': 0.3561719059944153, 'redshifts/outlier_fraction_bin_2': 0.26112136244773865, 'redshifts/outlier_fraction_bin_3': 0.1910858154296875, 'redshifts/outlier_fraction_bin_4': 0.19062748551368713, 'redshifts/outlier_fraction_bin_5': 0.09047044813632965, 'redshifts/outlier_fraction_cata': 0.08959445357322693, 'redshifts/outlier_fraction_cata_bin_0': 0.13284778594970703, 'redshifts/outlier_fraction_cata_bin_1': 0.10129357874393463, 'redshifts/outlier_fraction_cata_bin_2': 0.07896815240383148, 'redshifts/outlier_fraction_cata_bin_3': 0.058321479707956314, 'redshifts/outlier_fraction_cata_bin_4': 0.05162827670574188, 'redshifts/outlier_fraction_cata_bin_5': 0.016351696103811264}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 592/1563 [53:02<1:34:09, 5.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37534.])\n", + "total num of pts: tensor([13746., 9137., 3803., 2112., 1260., 7476.])\n", + "{'redshifts/bias_abs': 0.07578330487012863, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041365642100572586, 'redshifts/bias_abs_bin_5': 0.023347405716776848, 'redshifts/bias': 0.004251072183251381, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.007183867506682873, 'redshifts/bias_bin_5': -0.0004110356967430562, 'redshifts/mse': 0.3132264018058777, 'redshifts/mse_bin_0': 0.44055911898612976, 'redshifts/mse_bin_1': 0.36833468079566956, 'redshifts/mse_bin_2': 0.2817687392234802, 'redshifts/mse_bin_3': 0.21167846024036407, 'redshifts/mse_bin_4': 0.2163599133491516, 'redshifts/mse_bin_5': 0.07276745140552521, 'redshifts/nmad': 0.11233730614185333, 'redshifts/nmad_bin_0': 0.2137288600206375, 'redshifts/nmad_bin_1': 0.13426990807056427, 'redshifts/nmad_bin_2': 0.08773194998502731, 'redshifts/nmad_bin_3': 0.0690479725599289, 'redshifts/nmad_bin_4': 0.06214442104101181, 'redshifts/nmad_bin_5': 0.03471478074789047, 'redshifts/outlier_fraction': 0.3273565173149109, 'redshifts/outlier_fraction_bin_0': 0.4889422357082367, 'redshifts/outlier_fraction_bin_1': 0.35602495074272156, 'redshifts/outlier_fraction_bin_2': 0.26084670424461365, 'redshifts/outlier_fraction_bin_3': 0.19081439077854156, 'redshifts/outlier_fraction_bin_4': 0.190476194024086, 'redshifts/outlier_fraction_bin_5': 0.09069021046161652, 'redshifts/outlier_fraction_cata': 0.08957212418317795, 'redshifts/outlier_fraction_cata_bin_0': 0.13298414647579193, 'redshifts/outlier_fraction_cata_bin_1': 0.10112728178501129, 'redshifts/outlier_fraction_cata_bin_2': 0.07888509333133698, 'redshifts/outlier_fraction_cata_bin_3': 0.05823863670229912, 'redshifts/outlier_fraction_cata_bin_4': 0.0515873022377491, 'redshifts/outlier_fraction_cata_bin_5': 0.01631888747215271}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 593/1563 [53:07<1:30:54, 5.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37612.])\n", + "total num of pts: tensor([13773., 9154., 3812., 2117., 1262., 7494.])\n", + "{'redshifts/bias_abs': 0.07581369578838348, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004209383390843868, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.007043882273137569, 'redshifts/bias_bin_5': -0.00041321158641949296, 'redshifts/mse': 0.3130999505519867, 'redshifts/mse_bin_0': 0.4406719207763672, 'redshifts/mse_bin_1': 0.3678237497806549, 'redshifts/mse_bin_2': 0.2813459038734436, 'redshifts/mse_bin_3': 0.21134939789772034, 'redshifts/mse_bin_4': 0.21858751773834229, 'redshifts/mse_bin_5': 0.07260747253894806, 'redshifts/nmad': 0.11245020478963852, 'redshifts/nmad_bin_0': 0.21405358612537384, 'redshifts/nmad_bin_1': 0.13433364033699036, 'redshifts/nmad_bin_2': 0.08763593435287476, 'redshifts/nmad_bin_3': 0.06894145905971527, 'redshifts/nmad_bin_4': 0.062281284481287, 'redshifts/nmad_bin_5': 0.03476062789559364, 'redshifts/outlier_fraction': 0.32747527956962585, 'redshifts/outlier_fraction_bin_0': 0.4894358515739441, 'redshifts/outlier_fraction_bin_1': 0.35590997338294983, 'redshifts/outlier_fraction_bin_2': 0.2607555091381073, 'redshifts/outlier_fraction_bin_3': 0.1908360868692398, 'redshifts/outlier_fraction_bin_4': 0.1917591094970703, 'redshifts/outlier_fraction_bin_5': 0.09047237783670425, 'redshifts/outlier_fraction_cata': 0.089572474360466, 'redshifts/outlier_fraction_cata_bin_0': 0.13308647274971008, 'redshifts/outlier_fraction_cata_bin_1': 0.10093948245048523, 'redshifts/outlier_fraction_cata_bin_2': 0.07869884371757507, 'redshifts/outlier_fraction_cata_bin_3': 0.05810108780860901, 'redshifts/outlier_fraction_cata_bin_4': 0.05309033393859863, 'redshifts/outlier_fraction_cata_bin_5': 0.016279689967632294}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 594/1563 [53:13<1:30:52, 5.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37682.])\n", + "total num of pts: tensor([13803., 9170., 3816., 2122., 1267., 7504.])\n", + "{'redshifts/bias_abs': 0.07582245022058487, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004215889144688845, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0004534423351287842, 'redshifts/mse': 0.312784880399704, 'redshifts/mse_bin_0': 0.44020235538482666, 'redshifts/mse_bin_1': 0.36734429001808167, 'redshifts/mse_bin_2': 0.281276136636734, 'redshifts/mse_bin_3': 0.21114811301231384, 'redshifts/mse_bin_4': 0.21783755719661713, 'redshifts/mse_bin_5': 0.07253534346818924, 'redshifts/nmad': 0.11251209676265717, 'redshifts/nmad_bin_0': 0.2140234112739563, 'redshifts/nmad_bin_1': 0.13424518704414368, 'redshifts/nmad_bin_2': 0.08769312500953674, 'redshifts/nmad_bin_3': 0.06853781640529633, 'redshifts/nmad_bin_4': 0.06287059932947159, 'redshifts/nmad_bin_5': 0.034768640995025635, 'redshifts/outlier_fraction': 0.32737115025520325, 'redshifts/outlier_fraction_bin_0': 0.48924148082733154, 'redshifts/outlier_fraction_bin_1': 0.3557251989841461, 'redshifts/outlier_fraction_bin_2': 0.26100629568099976, 'redshifts/outlier_fraction_bin_3': 0.1908576786518097, 'redshifts/outlier_fraction_bin_4': 0.19100236892700195, 'redshifts/outlier_fraction_bin_5': 0.09035181254148483, 'redshifts/outlier_fraction_cata': 0.08945915848016739, 'redshifts/outlier_fraction_cata_bin_0': 0.1329421103000641, 'redshifts/outlier_fraction_cata_bin_1': 0.10076335817575455, 'redshifts/outlier_fraction_cata_bin_2': 0.07861635088920593, 'redshifts/outlier_fraction_cata_bin_3': 0.05796418339014053, 'redshifts/outlier_fraction_cata_bin_4': 0.052880819886922836, 'redshifts/outlier_fraction_cata_bin_5': 0.0162579957395792}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 595/1563 [53:19<1:33:08, 5.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37744.])\n", + "total num of pts: tensor([13823., 9181., 3822., 2127., 1268., 7523.])\n", + "{'redshifts/bias_abs': 0.07581054419279099, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023376263678073883, 'redshifts/bias': 0.004232398699969053, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010589889250695705, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.00042794615728780627, 'redshifts/mse': 0.3127477765083313, 'redshifts/mse_bin_0': 0.44011256098747253, 'redshifts/mse_bin_1': 0.36781391501426697, 'redshifts/mse_bin_2': 0.2813417315483093, 'redshifts/mse_bin_3': 0.21065732836723328, 'redshifts/mse_bin_4': 0.21766583621501923, 'redshifts/mse_bin_5': 0.07236908376216888, 'redshifts/nmad': 0.11240878701210022, 'redshifts/nmad_bin_0': 0.21394765377044678, 'redshifts/nmad_bin_1': 0.1343340426683426, 'redshifts/nmad_bin_2': 0.08773194998502731, 'redshifts/nmad_bin_3': 0.06834951788187027, 'redshifts/nmad_bin_4': 0.06236241012811661, 'redshifts/nmad_bin_5': 0.03479794040322304, 'redshifts/outlier_fraction': 0.32725730538368225, 'redshifts/outlier_fraction_bin_0': 0.4891846776008606, 'redshifts/outlier_fraction_bin_1': 0.3557346761226654, 'redshifts/outlier_fraction_bin_2': 0.26138147711753845, 'redshifts/outlier_fraction_bin_3': 0.19040901958942413, 'redshifts/outlier_fraction_bin_4': 0.19085173308849335, 'redshifts/outlier_fraction_bin_5': 0.09012362360954285, 'redshifts/outlier_fraction_cata': 0.08949767053127289, 'redshifts/outlier_fraction_cata_bin_0': 0.1329668015241623, 'redshifts/outlier_fraction_cata_bin_1': 0.10096939653158188, 'redshifts/outlier_fraction_cata_bin_2': 0.07875458151102066, 'redshifts/outlier_fraction_cata_bin_3': 0.05782792717218399, 'redshifts/outlier_fraction_cata_bin_4': 0.052839115262031555, 'redshifts/outlier_fraction_cata_bin_5': 0.016216935589909554}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 596/1563 [53:23<1:27:13, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37819.])\n", + "total num of pts: tensor([13852., 9195., 3827., 2136., 1271., 7538.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023381708189845085, 'redshifts/bias': 0.004209011793136597, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.010589889250695705, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.00041321158641949296, 'redshifts/mse': 0.3127424120903015, 'redshifts/mse_bin_0': 0.43994101881980896, 'redshifts/mse_bin_1': 0.36745840311050415, 'redshifts/mse_bin_2': 0.2817899286746979, 'redshifts/mse_bin_3': 0.21338404715061188, 'redshifts/mse_bin_4': 0.21718665957450867, 'redshifts/mse_bin_5': 0.07223814725875854, 'redshifts/nmad': 0.11230489611625671, 'redshifts/nmad_bin_0': 0.21377263963222504, 'redshifts/nmad_bin_1': 0.1341775804758072, 'redshifts/nmad_bin_2': 0.0878424122929573, 'redshifts/nmad_bin_3': 0.06872110068798065, 'redshifts/nmad_bin_4': 0.06256572902202606, 'redshifts/nmad_bin_5': 0.03478454798460007, 'redshifts/outlier_fraction': 0.3271107077598572, 'redshifts/outlier_fraction_bin_0': 0.48895466327667236, 'redshifts/outlier_fraction_bin_1': 0.3556280732154846, 'redshifts/outlier_fraction_bin_2': 0.2615625858306885, 'redshifts/outlier_fraction_bin_3': 0.19007490575313568, 'redshifts/outlier_fraction_bin_4': 0.1911880373954773, 'redshifts/outlier_fraction_bin_5': 0.0899442806839943, 'redshifts/outlier_fraction_cata': 0.08945239335298538, 'redshifts/outlier_fraction_cata_bin_0': 0.1329049915075302, 'redshifts/outlier_fraction_cata_bin_1': 0.10081566125154495, 'redshifts/outlier_fraction_cata_bin_2': 0.07891298830509186, 'redshifts/outlier_fraction_cata_bin_3': 0.058052435517311096, 'redshifts/outlier_fraction_cata_bin_4': 0.05271439626812935, 'redshifts/outlier_fraction_cata_bin_5': 0.016184665262699127}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 597/1563 [53:29<1:31:09, 5.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37884.])\n", + "total num of pts: tensor([13878., 9212., 3831., 2142., 1274., 7547.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023376263678073883, 'redshifts/bias': 0.004209011793136597, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.00041321158641949296, 'redshifts/mse': 0.31273865699768066, 'redshifts/mse_bin_0': 0.44012269377708435, 'redshifts/mse_bin_1': 0.3673036992549896, 'redshifts/mse_bin_2': 0.28180021047592163, 'redshifts/mse_bin_3': 0.21284550428390503, 'redshifts/mse_bin_4': 0.21669480204582214, 'redshifts/mse_bin_5': 0.072163425385952, 'redshifts/nmad': 0.11239245533943176, 'redshifts/nmad_bin_0': 0.213961660861969, 'redshifts/nmad_bin_1': 0.13406559824943542, 'redshifts/nmad_bin_2': 0.08785253018140793, 'redshifts/nmad_bin_3': 0.06872110068798065, 'redshifts/nmad_bin_4': 0.062025025486946106, 'redshifts/nmad_bin_5': 0.03477609530091286, 'redshifts/outlier_fraction': 0.32723575830459595, 'redshifts/outlier_fraction_bin_0': 0.48919153213500977, 'redshifts/outlier_fraction_bin_1': 0.35573166608810425, 'redshifts/outlier_fraction_bin_2': 0.26155051589012146, 'redshifts/outlier_fraction_bin_3': 0.19000934064388275, 'redshifts/outlier_fraction_bin_4': 0.19073782861232758, 'redshifts/outlier_fraction_bin_5': 0.08996952325105667, 'redshifts/outlier_fraction_cata': 0.08951008319854736, 'redshifts/outlier_fraction_cata_bin_0': 0.13301628828048706, 'redshifts/outlier_fraction_cata_bin_1': 0.10084672272205353, 'redshifts/outlier_fraction_cata_bin_2': 0.0790916234254837, 'redshifts/outlier_fraction_cata_bin_3': 0.057889822870492935, 'redshifts/outlier_fraction_cata_bin_4': 0.0525902658700943, 'redshifts/outlier_fraction_cata_bin_5': 0.016165364533662796}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 598/1563 [53:35<1:28:57, 5.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([37937.])\n", + "total num of pts: tensor([13904., 9221., 3835., 2144., 1274., 7559.])\n", + "{'redshifts/bias_abs': 0.07579158991575241, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023376263678073883, 'redshifts/bias': 0.004231893457472324, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010628738440573215, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.00042794615728780627, 'redshifts/mse': 0.3127146065235138, 'redshifts/mse_bin_0': 0.4400438070297241, 'redshifts/mse_bin_1': 0.36736324429512024, 'redshifts/mse_bin_2': 0.28152862191200256, 'redshifts/mse_bin_3': 0.21327710151672363, 'redshifts/mse_bin_4': 0.21669480204582214, 'redshifts/mse_bin_5': 0.07205216586589813, 'redshifts/nmad': 0.11233881860971451, 'redshifts/nmad_bin_0': 0.21399080753326416, 'redshifts/nmad_bin_1': 0.13432662189006805, 'redshifts/nmad_bin_2': 0.08785253018140793, 'redshifts/nmad_bin_3': 0.06872110068798065, 'redshifts/nmad_bin_4': 0.062025025486946106, 'redshifts/nmad_bin_5': 0.03479794040322304, 'redshifts/outlier_fraction': 0.32733216881752014, 'redshifts/outlier_fraction_bin_0': 0.48935559391975403, 'redshifts/outlier_fraction_bin_1': 0.3558182418346405, 'redshifts/outlier_fraction_bin_2': 0.26153847575187683, 'redshifts/outlier_fraction_bin_3': 0.19029851257801056, 'redshifts/outlier_fraction_bin_4': 0.19073782861232758, 'redshifts/outlier_fraction_bin_5': 0.08982669562101364, 'redshifts/outlier_fraction_cata': 0.08951683342456818, 'redshifts/outlier_fraction_cata_bin_0': 0.13298331201076508, 'redshifts/outlier_fraction_cata_bin_1': 0.10085674375295639, 'redshifts/outlier_fraction_cata_bin_2': 0.07900912314653397, 'redshifts/outlier_fraction_cata_bin_3': 0.05830223858356476, 'redshifts/outlier_fraction_cata_bin_4': 0.0525902658700943, 'redshifts/outlier_fraction_cata_bin_5': 0.016139701008796692}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 599/1563 [53:39<1:22:03, 5.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38014.])\n", + "total num of pts: tensor([13939., 9236., 3841., 2145., 1278., 7575.])\n", + "{'redshifts/bias_abs': 0.07579629868268967, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004251072183251381, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.010589889250695705, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.0050255958922207355, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.0004673898220062256, 'redshifts/mse': 0.3127603232860565, 'redshifts/mse_bin_0': 0.44015634059906006, 'redshifts/mse_bin_1': 0.3676159977912903, 'redshifts/mse_bin_2': 0.28122788667678833, 'redshifts/mse_bin_3': 0.21319399774074554, 'redshifts/mse_bin_4': 0.2163219153881073, 'redshifts/mse_bin_5': 0.07190556079149246, 'redshifts/nmad': 0.11236544698476791, 'redshifts/nmad_bin_0': 0.21412310004234314, 'redshifts/nmad_bin_1': 0.13409210741519928, 'redshifts/nmad_bin_2': 0.08796298503875732, 'redshifts/nmad_bin_3': 0.06869788467884064, 'redshifts/nmad_bin_4': 0.06256572902202606, 'redshifts/nmad_bin_5': 0.03477257490158081, 'redshifts/outlier_fraction': 0.3273530900478363, 'redshifts/outlier_fraction_bin_0': 0.48948991298675537, 'redshifts/outlier_fraction_bin_1': 0.3555651903152466, 'redshifts/outlier_fraction_bin_2': 0.26191097497940063, 'redshifts/outlier_fraction_bin_3': 0.1902097910642624, 'redshifts/outlier_fraction_bin_4': 0.1909233182668686, 'redshifts/outlier_fraction_bin_5': 0.08963696658611298, 'redshifts/outlier_fraction_cata': 0.08951964974403381, 'redshifts/outlier_fraction_cata_bin_0': 0.13300810754299164, 'redshifts/outlier_fraction_cata_bin_1': 0.10090948641300201, 'redshifts/outlier_fraction_cata_bin_2': 0.07888570427894592, 'redshifts/outlier_fraction_cata_bin_3': 0.05827505886554718, 'redshifts/outlier_fraction_cata_bin_4': 0.05242566391825676, 'redshifts/outlier_fraction_cata_bin_5': 0.016105610877275467}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 600/1563 [53:43<1:18:35, 4.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38091.])\n", + "total num of pts: tensor([13962., 9261., 3843., 2150., 1280., 7595.])\n", + "{'redshifts/bias_abs': 0.07578330487012863, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023336216807365417, 'redshifts/bias': 0.004273614846169949, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.00041111971950158477, 'redshifts/mse': 0.31279125809669495, 'redshifts/mse_bin_0': 0.44033488631248474, 'redshifts/mse_bin_1': 0.36720922589302063, 'redshifts/mse_bin_2': 0.28108787536621094, 'redshifts/mse_bin_3': 0.21270312368869781, 'redshifts/mse_bin_4': 0.21600106358528137, 'redshifts/mse_bin_5': 0.07265940308570862, 'redshifts/nmad': 0.11230387538671494, 'redshifts/nmad_bin_0': 0.21406593918800354, 'redshifts/nmad_bin_1': 0.1341000646352768, 'redshifts/nmad_bin_2': 0.08796298503875732, 'redshifts/nmad_bin_3': 0.06837775558233261, 'redshifts/nmad_bin_4': 0.06256572902202606, 'redshifts/nmad_bin_5': 0.034689150750637054, 'redshifts/outlier_fraction': 0.32734766602516174, 'redshifts/outlier_fraction_bin_0': 0.4896862804889679, 'redshifts/outlier_fraction_bin_1': 0.3554691672325134, 'redshifts/outlier_fraction_bin_2': 0.2617746591567993, 'redshifts/outlier_fraction_bin_3': 0.18976743519306183, 'redshifts/outlier_fraction_bin_4': 0.19062499701976776, 'redshifts/outlier_fraction_bin_5': 0.08979591727256775, 'redshifts/outlier_fraction_cata': 0.08954871445894241, 'redshifts/outlier_fraction_cata_bin_0': 0.13314712047576904, 'redshifts/outlier_fraction_cata_bin_1': 0.1007450595498085, 'redshifts/outlier_fraction_cata_bin_2': 0.07884465157985687, 'redshifts/outlier_fraction_cata_bin_3': 0.058139536529779434, 'redshifts/outlier_fraction_cata_bin_4': 0.05234374850988388, 'redshifts/outlier_fraction_cata_bin_5': 0.016326529905200005}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 38%|███▊ | 601/1563 [53:48<1:19:30, 4.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38137.])\n", + "total num of pts: tensor([13982., 9276., 3845., 2151., 1282., 7601.])\n", + "{'redshifts/bias_abs': 0.07580768316984177, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02331853285431862, 'redshifts/bias': 0.004260141868144274, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.010628738440573215, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.0004110356967430562, 'redshifts/mse': 0.31289851665496826, 'redshifts/mse_bin_0': 0.4404248297214508, 'redshifts/mse_bin_1': 0.3674508035182953, 'redshifts/mse_bin_2': 0.2809435725212097, 'redshifts/mse_bin_3': 0.21270444989204407, 'redshifts/mse_bin_4': 0.2156645804643631, 'redshifts/mse_bin_5': 0.07266030460596085, 'redshifts/nmad': 0.11236188560724258, 'redshifts/nmad_bin_0': 0.21417008340358734, 'redshifts/nmad_bin_1': 0.13417091965675354, 'redshifts/nmad_bin_2': 0.08788908272981644, 'redshifts/nmad_bin_3': 0.06839258223772049, 'redshifts/nmad_bin_4': 0.06232989579439163, 'redshifts/nmad_bin_5': 0.03466261178255081, 'redshifts/outlier_fraction': 0.3275034725666046, 'redshifts/outlier_fraction_bin_0': 0.48984408378601074, 'redshifts/outlier_fraction_bin_1': 0.3556489944458008, 'redshifts/outlier_fraction_bin_2': 0.26163849234580994, 'redshifts/outlier_fraction_bin_3': 0.1901441216468811, 'redshifts/outlier_fraction_bin_4': 0.19032761454582214, 'redshifts/outlier_fraction_bin_5': 0.0898565948009491, 'redshifts/outlier_fraction_cata': 0.08959802985191345, 'redshifts/outlier_fraction_cata_bin_0': 0.13324274122714996, 'redshifts/outlier_fraction_cata_bin_1': 0.10079775750637054, 'redshifts/outlier_fraction_cata_bin_2': 0.0788036435842514, 'redshifts/outlier_fraction_cata_bin_3': 0.058112505823373795, 'redshifts/outlier_fraction_cata_bin_4': 0.052262090146541595, 'redshifts/outlier_fraction_cata_bin_5': 0.016313642263412476}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▊ | 602/1563 [53:53<1:18:32, 4.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38196.])\n", + "total num of pts: tensor([13998., 9299., 3847., 2154., 1283., 7615.])\n", + "{'redshifts/bias_abs': 0.07581054419279099, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02334142103791237, 'redshifts/bias': 0.004270642064511776, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.010632446967065334, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.006989162415266037, 'redshifts/bias_bin_5': -0.00039107576594688, 'redshifts/mse': 0.3127966523170471, 'redshifts/mse_bin_0': 0.44042953848838806, 'redshifts/mse_bin_1': 0.3671358823776245, 'redshifts/mse_bin_2': 0.2810411751270294, 'redshifts/mse_bin_3': 0.21246150135993958, 'redshifts/mse_bin_4': 0.21559393405914307, 'redshifts/mse_bin_5': 0.07262645661830902, 'redshifts/nmad': 0.11237744987010956, 'redshifts/nmad_bin_0': 0.2142328917980194, 'redshifts/nmad_bin_1': 0.13417641818523407, 'redshifts/nmad_bin_2': 0.08796298503875732, 'redshifts/nmad_bin_3': 0.06839258223772049, 'redshifts/nmad_bin_4': 0.06236241012811661, 'redshifts/nmad_bin_5': 0.03469220548868179, 'redshifts/outlier_fraction': 0.3275735676288605, 'redshifts/outlier_fraction_bin_0': 0.48985570669174194, 'redshifts/outlier_fraction_bin_1': 0.35573717951774597, 'redshifts/outlier_fraction_bin_2': 0.26202234625816345, 'redshifts/outlier_fraction_bin_3': 0.18987929821014404, 'redshifts/outlier_fraction_bin_4': 0.19095869362354279, 'redshifts/outlier_fraction_bin_5': 0.08995404094457626, 'redshifts/outlier_fraction_cata': 0.08959053456783295, 'redshifts/outlier_fraction_cata_bin_0': 0.13337619602680206, 'redshifts/outlier_fraction_cata_bin_1': 0.10065598785877228, 'redshifts/outlier_fraction_cata_bin_2': 0.07876267284154892, 'redshifts/outlier_fraction_cata_bin_3': 0.05803157016634941, 'redshifts/outlier_fraction_cata_bin_4': 0.05222135782241821, 'redshifts/outlier_fraction_cata_bin_5': 0.01628364995121956}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▊ | 603/1563 [54:00<1:29:17, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38267.])\n", + "total num of pts: tensor([14018., 9315., 3859., 2159., 1287., 7629.])\n", + "{'redshifts/bias_abs': 0.07575347274541855, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004269473720341921, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.005023621954023838, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.000377354008378461, 'redshifts/mse': 0.3127303719520569, 'redshifts/mse_bin_0': 0.4404993951320648, 'redshifts/mse_bin_1': 0.3670547902584076, 'redshifts/mse_bin_2': 0.2808506488800049, 'redshifts/mse_bin_3': 0.21248747408390045, 'redshifts/mse_bin_4': 0.21492800116539001, 'redshifts/mse_bin_5': 0.07262492179870605, 'redshifts/nmad': 0.11227631568908691, 'redshifts/nmad_bin_0': 0.21422962844371796, 'redshifts/nmad_bin_1': 0.13416960835456848, 'redshifts/nmad_bin_2': 0.08785253018140793, 'redshifts/nmad_bin_3': 0.06845077872276306, 'redshifts/nmad_bin_4': 0.06182987242937088, 'redshifts/nmad_bin_5': 0.03472293168306351, 'redshifts/outlier_fraction': 0.32759296894073486, 'redshifts/outlier_fraction_bin_0': 0.4899415075778961, 'redshifts/outlier_fraction_bin_1': 0.35566291213035583, 'redshifts/outlier_fraction_bin_2': 0.2622441053390503, 'redshifts/outlier_fraction_bin_3': 0.18990273773670197, 'redshifts/outlier_fraction_bin_4': 0.19036519527435303, 'redshifts/outlier_fraction_bin_5': 0.09018220007419586, 'redshifts/outlier_fraction_cata': 0.08960723131895065, 'redshifts/outlier_fraction_cata_bin_0': 0.13347125053405762, 'redshifts/outlier_fraction_cata_bin_1': 0.10059044510126114, 'redshifts/outlier_fraction_cata_bin_2': 0.07877688854932785, 'redshifts/outlier_fraction_cata_bin_3': 0.058360353112220764, 'redshifts/outlier_fraction_cata_bin_4': 0.052059050649404526, 'redshifts/outlier_fraction_cata_bin_5': 0.016253769397735596}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▊ | 604/1563 [54:06<1:31:20, 5.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38341.])\n", + "total num of pts: tensor([14043., 9331., 3864., 2165., 1291., 7647.])\n", + "{'redshifts/bias_abs': 0.0756986141204834, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09061809629201889, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023347405716776848, 'redshifts/bias': 0.004251072183251381, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010665003210306168, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.005023621954023838, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.00039525399915874004, 'redshifts/mse': 0.3125544786453247, 'redshifts/mse_bin_0': 0.44025683403015137, 'redshifts/mse_bin_1': 0.36707553267478943, 'redshifts/mse_bin_2': 0.28059858083724976, 'redshifts/mse_bin_3': 0.21197450160980225, 'redshifts/mse_bin_4': 0.21447935700416565, 'redshifts/mse_bin_5': 0.07269611954689026, 'redshifts/nmad': 0.11219917237758636, 'redshifts/nmad_bin_0': 0.2141495794057846, 'redshifts/nmad_bin_1': 0.13401030004024506, 'redshifts/nmad_bin_2': 0.0878424122929573, 'redshifts/nmad_bin_3': 0.0682913213968277, 'redshifts/nmad_bin_4': 0.06182987242937088, 'redshifts/nmad_bin_5': 0.034734003245830536, 'redshifts/outlier_fraction': 0.32740408182144165, 'redshifts/outlier_fraction_bin_0': 0.4897101819515228, 'redshifts/outlier_fraction_bin_1': 0.3553745448589325, 'redshifts/outlier_fraction_bin_2': 0.2624223530292511, 'redshifts/outlier_fraction_bin_3': 0.18983833491802216, 'redshifts/outlier_fraction_bin_4': 0.19054995477199554, 'redshifts/outlier_fraction_bin_5': 0.09010069072246552, 'redshifts/outlier_fraction_cata': 0.08953861147165298, 'redshifts/outlier_fraction_cata_bin_0': 0.13337606191635132, 'redshifts/outlier_fraction_cata_bin_1': 0.1005251333117485, 'redshifts/outlier_fraction_cata_bin_2': 0.07867494970560074, 'redshifts/outlier_fraction_cata_bin_3': 0.05819861590862274, 'redshifts/outlier_fraction_cata_bin_4': 0.05189775303006172, 'redshifts/outlier_fraction_cata_bin_5': 0.0163462795317173}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▊ | 605/1563 [54:15<1:46:33, 6.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38415.])\n", + "total num of pts: tensor([14076., 9348., 3870., 2171., 1292., 7658.])\n", + "{'redshifts/bias_abs': 0.0757506713271141, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09061809629201889, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004253976047039032, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.0050255958922207355, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.00039525399915874004, 'redshifts/mse': 0.31277382373809814, 'redshifts/mse_bin_0': 0.4403059780597687, 'redshifts/mse_bin_1': 0.36741822957992554, 'redshifts/mse_bin_2': 0.28031161427497864, 'redshifts/mse_bin_3': 0.2114953249692917, 'redshifts/mse_bin_4': 0.21431387960910797, 'redshifts/mse_bin_5': 0.07338624447584152, 'redshifts/nmad': 0.11224266141653061, 'redshifts/nmad_bin_0': 0.21402770280838013, 'redshifts/nmad_bin_1': 0.1339876800775528, 'redshifts/nmad_bin_2': 0.08780357241630554, 'redshifts/nmad_bin_3': 0.06827942281961441, 'redshifts/nmad_bin_4': 0.06177014485001564, 'redshifts/nmad_bin_5': 0.03474947065114975, 'redshifts/outlier_fraction': 0.3274502158164978, 'redshifts/outlier_fraction_bin_0': 0.48941460251808167, 'redshifts/outlier_fraction_bin_1': 0.3555840849876404, 'redshifts/outlier_fraction_bin_2': 0.2625322937965393, 'redshifts/outlier_fraction_bin_3': 0.1897743046283722, 'redshifts/outlier_fraction_bin_4': 0.19040247797966003, 'redshifts/outlier_fraction_bin_5': 0.0903630182147026, 'redshifts/outlier_fraction_cata': 0.08960041403770447, 'redshifts/outlier_fraction_cata_bin_0': 0.13341858983039856, 'redshifts/outlier_fraction_cata_bin_1': 0.10055626928806305, 'redshifts/outlier_fraction_cata_bin_2': 0.0785529688000679, 'redshifts/outlier_fraction_cata_bin_3': 0.05803776904940605, 'redshifts/outlier_fraction_cata_bin_4': 0.051857586950063705, 'redshifts/outlier_fraction_cata_bin_5': 0.016583964228630066}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 606/1563 [54:21<1:42:48, 6.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38484.])\n", + "total num of pts: tensor([14098., 9369., 3878., 2173., 1296., 7670.])\n", + "{'redshifts/bias_abs': 0.07571227848529816, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004256457556039095, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010632446967065334, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.005023621954023838, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.0003904172917827964, 'redshifts/mse': 0.31273818016052246, 'redshifts/mse_bin_0': 0.4404757022857666, 'redshifts/mse_bin_1': 0.36742067337036133, 'redshifts/mse_bin_2': 0.2797704041004181, 'redshifts/mse_bin_3': 0.21130706369876862, 'redshifts/mse_bin_4': 0.21371400356292725, 'redshifts/mse_bin_5': 0.07329139113426208, 'redshifts/nmad': 0.11219118535518646, 'redshifts/nmad_bin_0': 0.2139192670583725, 'redshifts/nmad_bin_1': 0.13397571444511414, 'redshifts/nmad_bin_2': 0.08775651454925537, 'redshifts/nmad_bin_3': 0.06827649474143982, 'redshifts/nmad_bin_4': 0.062025025486946106, 'redshifts/nmad_bin_5': 0.03474229946732521, 'redshifts/outlier_fraction': 0.3273308277130127, 'redshifts/outlier_fraction_bin_0': 0.48936018347740173, 'redshifts/outlier_fraction_bin_1': 0.35542747378349304, 'redshifts/outlier_fraction_bin_2': 0.2619907259941101, 'redshifts/outlier_fraction_bin_3': 0.1895996332168579, 'redshifts/outlier_fraction_bin_4': 0.18981482088565826, 'redshifts/outlier_fraction_bin_5': 0.09048239886760712, 'redshifts/outlier_fraction_cata': 0.08954370766878128, 'redshifts/outlier_fraction_cata_bin_0': 0.13335224986076355, 'redshifts/outlier_fraction_cata_bin_1': 0.10054434835910797, 'redshifts/outlier_fraction_cata_bin_2': 0.0783909261226654, 'redshifts/outlier_fraction_cata_bin_3': 0.057984352111816406, 'redshifts/outlier_fraction_cata_bin_4': 0.05169752985239029, 'redshifts/outlier_fraction_cata_bin_5': 0.01655801758170128}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 607/1563 [54:27<1:39:52, 6.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38546.])\n", + "total num of pts: tensor([14121., 9382., 3883., 2178., 1299., 7683.])\n", + "{'redshifts/bias_abs': 0.07566047459840775, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023407816886901855, 'redshifts/bias': 0.004260141868144274, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.010632446967065334, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.000377354008378461, 'redshifts/mse': 0.3126234710216522, 'redshifts/mse_bin_0': 0.44049525260925293, 'redshifts/mse_bin_1': 0.3673037588596344, 'redshifts/mse_bin_2': 0.2794246971607208, 'redshifts/mse_bin_3': 0.21105918288230896, 'redshifts/mse_bin_4': 0.21336477994918823, 'redshifts/mse_bin_5': 0.07318340986967087, 'redshifts/nmad': 0.11214569956064224, 'redshifts/nmad_bin_0': 0.21392512321472168, 'redshifts/nmad_bin_1': 0.13389435410499573, 'redshifts/nmad_bin_2': 0.08749043941497803, 'redshifts/nmad_bin_3': 0.06837775558233261, 'redshifts/nmad_bin_4': 0.06256572902202606, 'redshifts/nmad_bin_5': 0.034764714539051056, 'redshifts/outlier_fraction': 0.3272194266319275, 'redshifts/outlier_fraction_bin_0': 0.4892713129520416, 'redshifts/outlier_fraction_bin_1': 0.35514816641807556, 'redshifts/outlier_fraction_bin_2': 0.2616533637046814, 'redshifts/outlier_fraction_bin_3': 0.1900826394557953, 'redshifts/outlier_fraction_bin_4': 0.19014626741409302, 'redshifts/outlier_fraction_bin_5': 0.09045945852994919, 'redshifts/outlier_fraction_cata': 0.08947750926017761, 'redshifts/outlier_fraction_cata_bin_0': 0.13327668607234955, 'redshifts/outlier_fraction_cata_bin_1': 0.10051161795854568, 'redshifts/outlier_fraction_cata_bin_2': 0.07828998565673828, 'redshifts/outlier_fraction_cata_bin_3': 0.057851240038871765, 'redshifts/outlier_fraction_cata_bin_4': 0.05157813802361488, 'redshifts/outlier_fraction_cata_bin_5': 0.016530001536011696}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 608/1563 [54:34<1:42:39, 6.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38612.])\n", + "total num of pts: tensor([14148., 9400., 3886., 2180., 1300., 7698.])\n", + "{'redshifts/bias_abs': 0.07566047459840775, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004256457556039095, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010632446967065334, 'redshifts/bias_bin_2': -0.0037054959684610367, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.000377354008378461, 'redshifts/mse': 0.3126387894153595, 'redshifts/mse_bin_0': 0.44077590107917786, 'redshifts/mse_bin_1': 0.3671163022518158, 'redshifts/mse_bin_2': 0.279217928647995, 'redshifts/mse_bin_3': 0.21086564660072327, 'redshifts/mse_bin_4': 0.2133830189704895, 'redshifts/mse_bin_5': 0.07307219505310059, 'redshifts/nmad': 0.11212608963251114, 'redshifts/nmad_bin_0': 0.2138637751340866, 'redshifts/nmad_bin_1': 0.1338026374578476, 'redshifts/nmad_bin_2': 0.08751325309276581, 'redshifts/nmad_bin_3': 0.06834951788187027, 'redshifts/nmad_bin_4': 0.06256572902202606, 'redshifts/nmad_bin_5': 0.03472293168306351, 'redshifts/outlier_fraction': 0.32715219259262085, 'redshifts/outlier_fraction_bin_0': 0.48918575048446655, 'redshifts/outlier_fraction_bin_1': 0.35499998927116394, 'redshifts/outlier_fraction_bin_2': 0.2614513635635376, 'redshifts/outlier_fraction_bin_3': 0.1899082511663437, 'redshifts/outlier_fraction_bin_4': 0.190769225358963, 'redshifts/outlier_fraction_bin_5': 0.09041309356689453, 'redshifts/outlier_fraction_cata': 0.0894799530506134, 'redshifts/outlier_fraction_cata_bin_0': 0.13337574899196625, 'redshifts/outlier_fraction_cata_bin_1': 0.10042553395032883, 'redshifts/outlier_fraction_cata_bin_2': 0.07822953909635544, 'redshifts/outlier_fraction_cata_bin_3': 0.05779816582798958, 'redshifts/outlier_fraction_cata_bin_4': 0.051538459956645966, 'redshifts/outlier_fraction_cata_bin_5': 0.016497790813446045}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 609/1563 [54:40<1:41:02, 6.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38675.])\n", + "total num of pts: tensor([14164., 9415., 3890., 2186., 1307., 7713.])\n", + "{'redshifts/bias_abs': 0.07564620673656464, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023375442251563072, 'redshifts/bias': 0.004269473720341921, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010670020245015621, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.000377354008378461, 'redshifts/mse': 0.31268343329429626, 'redshifts/mse_bin_0': 0.44073688983917236, 'redshifts/mse_bin_1': 0.36698275804519653, 'redshifts/mse_bin_2': 0.27895310521125793, 'redshifts/mse_bin_3': 0.21194639801979065, 'redshifts/mse_bin_4': 0.21739372611045837, 'redshifts/mse_bin_5': 0.07295912504196167, 'redshifts/nmad': 0.11207684874534607, 'redshifts/nmad_bin_0': 0.21379679441452026, 'redshifts/nmad_bin_1': 0.13383865356445312, 'redshifts/nmad_bin_2': 0.08749043941497803, 'redshifts/nmad_bin_3': 0.06849240511655807, 'redshifts/nmad_bin_4': 0.06243792548775673, 'redshifts/nmad_bin_5': 0.03473138436675072, 'redshifts/outlier_fraction': 0.3270329535007477, 'redshifts/outlier_fraction_bin_0': 0.48898616433143616, 'redshifts/outlier_fraction_bin_1': 0.3551779091358185, 'redshifts/outlier_fraction_bin_2': 0.2611825168132782, 'redshifts/outlier_fraction_bin_3': 0.19030192494392395, 'redshifts/outlier_fraction_bin_4': 0.19127774238586426, 'redshifts/outlier_fraction_bin_5': 0.09023725986480713, 'redshifts/outlier_fraction_cata': 0.08948933333158493, 'redshifts/outlier_fraction_cata_bin_0': 0.13336628675460815, 'redshifts/outlier_fraction_cata_bin_1': 0.10037174820899963, 'redshifts/outlier_fraction_cata_bin_2': 0.07814910262823105, 'redshifts/outlier_fraction_cata_bin_3': 0.058096982538700104, 'redshifts/outlier_fraction_cata_bin_4': 0.05279265344142914, 'redshifts/outlier_fraction_cata_bin_5': 0.01646570675075054}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 610/1563 [54:47<1:43:32, 6.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38744.])\n", + "total num of pts: tensor([14193., 9436., 3895., 2189., 1308., 7723.])\n", + "{'redshifts/bias_abs': 0.07564802467823029, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09052722901105881, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.004281789064407349, 'redshifts/bias_bin_0': 0.029499588534235954, 'redshifts/bias_bin_1': 0.010670020245015621, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.0003561186895240098, 'redshifts/mse': 0.3128207325935364, 'redshifts/mse_bin_0': 0.4405992925167084, 'redshifts/mse_bin_1': 0.36638668179512024, 'redshifts/mse_bin_2': 0.2818523645401001, 'redshifts/mse_bin_3': 0.2116764485836029, 'redshifts/mse_bin_4': 0.2172296941280365, 'redshifts/mse_bin_5': 0.07302629947662354, 'redshifts/nmad': 0.11209029704332352, 'redshifts/nmad_bin_0': 0.21374374628067017, 'redshifts/nmad_bin_1': 0.13380765914916992, 'redshifts/nmad_bin_2': 0.08781959116458893, 'redshifts/nmad_bin_3': 0.06852299720048904, 'redshifts/nmad_bin_4': 0.062025025486946106, 'redshifts/nmad_bin_5': 0.03470052778720856, 'redshifts/outlier_fraction': 0.32709580659866333, 'redshifts/outlier_fraction_bin_0': 0.4890438914299011, 'redshifts/outlier_fraction_bin_1': 0.3550233244895935, 'redshifts/outlier_fraction_bin_2': 0.2616174519062042, 'redshifts/outlier_fraction_bin_3': 0.19004110991954803, 'redshifts/outlier_fraction_bin_4': 0.19113150238990784, 'redshifts/outlier_fraction_bin_5': 0.09024990350008011, 'redshifts/outlier_fraction_cata': 0.08951063454151154, 'redshifts/outlier_fraction_cata_bin_0': 0.1333756148815155, 'redshifts/outlier_fraction_cata_bin_1': 0.10014836490154266, 'redshifts/outlier_fraction_cata_bin_2': 0.07856225967407227, 'redshifts/outlier_fraction_cata_bin_3': 0.05801735818386078, 'redshifts/outlier_fraction_cata_bin_4': 0.0527522936463356, 'redshifts/outlier_fraction_cata_bin_5': 0.016573870554566383}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 611/1563 [54:52<1:37:29, 6.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38799.])\n", + "total num of pts: tensor([14216., 9445., 3901., 2195., 1308., 7734.])\n", + "{'redshifts/bias_abs': 0.07563052326440811, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023367255926132202, 'redshifts/bias': 0.0043115755543112755, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.010792608372867107, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.00035268068313598633, 'redshifts/mse': 0.31275540590286255, 'redshifts/mse_bin_0': 0.44036078453063965, 'redshifts/mse_bin_1': 0.3668382465839386, 'redshifts/mse_bin_2': 0.28142330050468445, 'redshifts/mse_bin_3': 0.21120524406433105, 'redshifts/mse_bin_4': 0.2172296941280365, 'redshifts/mse_bin_5': 0.07293704897165298, 'redshifts/nmad': 0.11207142472267151, 'redshifts/nmad_bin_0': 0.21377088129520416, 'redshifts/nmad_bin_1': 0.13391384482383728, 'redshifts/nmad_bin_2': 0.08757918328046799, 'redshifts/nmad_bin_3': 0.06868926435709, 'redshifts/nmad_bin_4': 0.062025025486946106, 'redshifts/nmad_bin_5': 0.03470071405172348, 'redshifts/outlier_fraction': 0.32709604501724243, 'redshifts/outlier_fraction_bin_0': 0.48916712403297424, 'redshifts/outlier_fraction_bin_1': 0.3551085293292999, 'redshifts/outlier_fraction_bin_2': 0.26121506094932556, 'redshifts/outlier_fraction_bin_3': 0.18997721374034882, 'redshifts/outlier_fraction_bin_4': 0.19113150238990784, 'redshifts/outlier_fraction_bin_5': 0.0901215448975563, 'redshifts/outlier_fraction_cata': 0.0894610658288002, 'redshifts/outlier_fraction_cata_bin_0': 0.13323016464710236, 'redshifts/outlier_fraction_cata_bin_1': 0.10026469081640244, 'redshifts/outlier_fraction_cata_bin_2': 0.07844142615795135, 'redshifts/outlier_fraction_cata_bin_3': 0.05785876885056496, 'redshifts/outlier_fraction_cata_bin_4': 0.0527522936463356, 'redshifts/outlier_fraction_cata_bin_5': 0.016550296917557716}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 612/1563 [54:57<1:29:25, 5.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38877.])\n", + "total num of pts: tensor([14243., 9460., 3908., 2201., 1310., 7755.])\n", + "{'redshifts/bias_abs': 0.07563052326440811, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09052722901105881, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023376263678073883, 'redshifts/bias': 0.004284476395696402, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.00031890618265606463, 'redshifts/mse': 0.31290099024772644, 'redshifts/mse_bin_0': 0.4408681094646454, 'redshifts/mse_bin_1': 0.3669743239879608, 'redshifts/mse_bin_2': 0.28127068281173706, 'redshifts/mse_bin_3': 0.21167674660682678, 'redshifts/mse_bin_4': 0.21702417731285095, 'redshifts/mse_bin_5': 0.07277920097112656, 'redshifts/nmad': 0.11208454519510269, 'redshifts/nmad_bin_0': 0.21398691833019257, 'redshifts/nmad_bin_1': 0.13383325934410095, 'redshifts/nmad_bin_2': 0.08752626925706863, 'redshifts/nmad_bin_3': 0.0690026730298996, 'redshifts/nmad_bin_4': 0.06243792548775673, 'redshifts/nmad_bin_5': 0.034750789403915405, 'redshifts/outlier_fraction': 0.32721146941185, 'redshifts/outlier_fraction_bin_0': 0.4894334077835083, 'redshifts/outlier_fraction_bin_1': 0.35517969727516174, 'redshifts/outlier_fraction_bin_2': 0.2610030770301819, 'redshifts/outlier_fraction_bin_3': 0.19082234799861908, 'redshifts/outlier_fraction_bin_4': 0.19160304963588715, 'redshifts/outlier_fraction_bin_5': 0.09013539552688599, 'redshifts/outlier_fraction_cata': 0.08951307833194733, 'redshifts/outlier_fraction_cata_bin_0': 0.1333988606929779, 'redshifts/outlier_fraction_cata_bin_1': 0.10031712800264359, 'redshifts/outlier_fraction_cata_bin_2': 0.07855680584907532, 'redshifts/outlier_fraction_cata_bin_3': 0.05770104378461838, 'redshifts/outlier_fraction_cata_bin_4': 0.052671756595373154, 'redshifts/outlier_fraction_cata_bin_5': 0.01650547981262207}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 613/1563 [55:01<1:25:18, 5.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([38937.])\n", + "total num of pts: tensor([14266., 9469., 3917., 2206., 1310., 7769.])\n", + "{'redshifts/bias_abs': 0.07558491826057434, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023407816886901855, 'redshifts/bias': 0.004276425112038851, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0003209456044714898, 'redshifts/mse': 0.3126298189163208, 'redshifts/mse_bin_0': 0.4405718445777893, 'redshifts/mse_bin_1': 0.36678314208984375, 'redshifts/mse_bin_2': 0.2806595265865326, 'redshifts/mse_bin_3': 0.2114037424325943, 'redshifts/mse_bin_4': 0.21702417731285095, 'redshifts/mse_bin_5': 0.07267578691244125, 'redshifts/nmad': 0.11200075596570969, 'redshifts/nmad_bin_0': 0.21379020810127258, 'redshifts/nmad_bin_1': 0.1337978094816208, 'redshifts/nmad_bin_2': 0.08740350604057312, 'redshifts/nmad_bin_3': 0.06906771659851074, 'redshifts/nmad_bin_4': 0.06243792548775673, 'redshifts/nmad_bin_5': 0.03476639837026596, 'redshifts/outlier_fraction': 0.3270924687385559, 'redshifts/outlier_fraction_bin_0': 0.48920509219169617, 'redshifts/outlier_fraction_bin_1': 0.3550533354282379, 'redshifts/outlier_fraction_bin_2': 0.2606586813926697, 'redshifts/outlier_fraction_bin_3': 0.19129645824432373, 'redshifts/outlier_fraction_bin_4': 0.19160304963588715, 'redshifts/outlier_fraction_bin_5': 0.09023040533065796, 'redshifts/outlier_fraction_cata': 0.08940082788467407, 'redshifts/outlier_fraction_cata_bin_0': 0.13325388729572296, 'redshifts/outlier_fraction_cata_bin_1': 0.10022177547216415, 'redshifts/outlier_fraction_cata_bin_2': 0.07837630808353424, 'redshifts/outlier_fraction_cata_bin_3': 0.057570263743400574, 'redshifts/outlier_fraction_cata_bin_4': 0.052671756595373154, 'redshifts/outlier_fraction_cata_bin_5': 0.01647573709487915}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 614/1563 [55:07<1:27:16, 5.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39002.])\n", + "total num of pts: tensor([14295., 9484., 3925., 2209., 1311., 7778.])\n", + "{'redshifts/bias_abs': 0.0756223276257515, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023412613198161125, 'redshifts/bias': 0.004303706344217062, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0035825869999825954, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': -0.0003209456044714898, 'redshifts/mse': 0.31297725439071655, 'redshifts/mse_bin_0': 0.44068002700805664, 'redshifts/mse_bin_1': 0.36740773916244507, 'redshifts/mse_bin_2': 0.28152966499328613, 'redshifts/mse_bin_3': 0.21214275062084198, 'redshifts/mse_bin_4': 0.216862753033638, 'redshifts/mse_bin_5': 0.07261630147695541, 'redshifts/nmad': 0.11205975711345673, 'redshifts/nmad_bin_0': 0.21392512321472168, 'redshifts/nmad_bin_1': 0.1335696280002594, 'redshifts/nmad_bin_2': 0.08752626925706863, 'redshifts/nmad_bin_3': 0.06911309063434601, 'redshifts/nmad_bin_4': 0.06239412724971771, 'redshifts/nmad_bin_5': 0.034769557416439056, 'redshifts/outlier_fraction': 0.32723963260650635, 'redshifts/outlier_fraction_bin_0': 0.4893319308757782, 'redshifts/outlier_fraction_bin_1': 0.35491353273391724, 'redshifts/outlier_fraction_bin_2': 0.2611464858055115, 'redshifts/outlier_fraction_bin_3': 0.19148936867713928, 'redshifts/outlier_fraction_bin_4': 0.1914568990468979, 'redshifts/outlier_fraction_bin_5': 0.0903831347823143, 'redshifts/outlier_fraction_cata': 0.08953387290239334, 'redshifts/outlier_fraction_cata_bin_0': 0.13326337933540344, 'redshifts/outlier_fraction_cata_bin_1': 0.10048502683639526, 'redshifts/outlier_fraction_cata_bin_2': 0.07872611284255981, 'redshifts/outlier_fraction_cata_bin_3': 0.05794477090239525, 'redshifts/outlier_fraction_cata_bin_4': 0.05263157933950424, 'redshifts/outlier_fraction_cata_bin_5': 0.01645667292177677}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 615/1563 [55:13<1:26:57, 5.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39079.])\n", + "total num of pts: tensor([14321., 9502., 3936., 2215., 1313., 7792.])\n", + "{'redshifts/bias_abs': 0.075645312666893, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09019730240106583, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02345028519630432, 'redshifts/bias': 0.004269473720341921, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.0037104920484125614, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0003209456044714898, 'redshifts/mse': 0.31282517313957214, 'redshifts/mse_bin_0': 0.44047069549560547, 'redshifts/mse_bin_1': 0.3671594560146332, 'redshifts/mse_bin_2': 0.2811277210712433, 'redshifts/mse_bin_3': 0.21297410130500793, 'redshifts/mse_bin_4': 0.21654389798641205, 'redshifts/mse_bin_5': 0.07258808612823486, 'redshifts/nmad': 0.11209093034267426, 'redshifts/nmad_bin_0': 0.21380828320980072, 'redshifts/nmad_bin_1': 0.13366827368736267, 'redshifts/nmad_bin_2': 0.08769945055246353, 'redshifts/nmad_bin_3': 0.06930287927389145, 'redshifts/nmad_bin_4': 0.06248326972126961, 'redshifts/nmad_bin_5': 0.0348057746887207, 'redshifts/outlier_fraction': 0.32726016640663147, 'redshifts/outlier_fraction_bin_0': 0.48921164870262146, 'redshifts/outlier_fraction_bin_1': 0.35476741194725037, 'redshifts/outlier_fraction_bin_2': 0.2614329159259796, 'redshifts/outlier_fraction_bin_3': 0.19232505559921265, 'redshifts/outlier_fraction_bin_4': 0.1911652684211731, 'redshifts/outlier_fraction_bin_5': 0.09060575067996979, 'redshifts/outlier_fraction_cata': 0.08945981413125992, 'redshifts/outlier_fraction_cata_bin_0': 0.13316109776496887, 'redshifts/outlier_fraction_cata_bin_1': 0.1003999188542366, 'redshifts/outlier_fraction_cata_bin_2': 0.07850609719753265, 'redshifts/outlier_fraction_cata_bin_3': 0.058239277452230453, 'redshifts/outlier_fraction_cata_bin_4': 0.05255140736699104, 'redshifts/outlier_fraction_cata_bin_5': 0.01642710529267788}\n", + "total num of pts: tensor([39131.])\n", + "total num of pts: tensor([14340., 9515., 3944., 2217., 1314., 7801.])\n", + "{'redshifts/bias_abs': 0.07565823197364807, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09019730240106583, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02345028519630432, 'redshifts/bias': 0.004253976047039032, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0037104920484125614, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.00031890618265606463, 'redshifts/mse': 0.3126576840877533, 'redshifts/mse_bin_0': 0.44012024998664856, 'redshifts/mse_bin_1': 0.3670797646045685, 'redshifts/mse_bin_2': 0.28107044100761414, 'redshifts/mse_bin_3': 0.212790384888649, 'redshifts/mse_bin_4': 0.21642659604549408, 'redshifts/mse_bin_5': 0.07253675907850266, 'redshifts/nmad': 0.11212609708309174, 'redshifts/nmad_bin_0': 0.2136438637971878, 'redshifts/nmad_bin_1': 0.1336592733860016, 'redshifts/nmad_bin_2': 0.08779904991388321, 'redshifts/nmad_bin_3': 0.06930287927389145, 'redshifts/nmad_bin_4': 0.06248326972126961, 'redshifts/nmad_bin_5': 0.03480274975299835, 'redshifts/outlier_fraction': 0.3273363709449768, 'redshifts/outlier_fraction_bin_0': 0.48919108510017395, 'redshifts/outlier_fraction_bin_1': 0.3548082113265991, 'redshifts/outlier_fraction_bin_2': 0.26217037439346313, 'redshifts/outlier_fraction_bin_3': 0.19215156137943268, 'redshifts/outlier_fraction_bin_4': 0.19101978838443756, 'redshifts/outlier_fraction_bin_5': 0.09062940627336502, 'redshifts/outlier_fraction_cata': 0.0893920436501503, 'redshifts/outlier_fraction_cata_bin_0': 0.13298465311527252, 'redshifts/outlier_fraction_cata_bin_1': 0.10036783665418625, 'redshifts/outlier_fraction_cata_bin_2': 0.07860040664672852, 'redshifts/outlier_fraction_cata_bin_3': 0.058186739683151245, 'redshifts/outlier_fraction_cata_bin_4': 0.052511416375637054, 'redshifts/outlier_fraction_cata_bin_5': 0.016408152878284454}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 39%|███▉ | 617/1563 [55:26<1:39:04, 6.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39211.])\n", + "total num of pts: tensor([14376., 9531., 3954., 2219., 1314., 7817.])\n", + "{'redshifts/bias_abs': 0.0756986141204834, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09047881513834, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004232741892337799, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010792608372867107, 'redshifts/bias_bin_2': -0.00386336469091475, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.000314563512802124, 'redshifts/mse': 0.3129085600376129, 'redshifts/mse_bin_0': 0.44001221656799316, 'redshifts/mse_bin_1': 0.36802029609680176, 'redshifts/mse_bin_2': 0.28047624230384827, 'redshifts/mse_bin_3': 0.21260184049606323, 'redshifts/mse_bin_4': 0.21642659604549408, 'redshifts/mse_bin_5': 0.07306041568517685, 'redshifts/nmad': 0.11219725012779236, 'redshifts/nmad_bin_0': 0.21342745423316956, 'redshifts/nmad_bin_1': 0.13387703895568848, 'redshifts/nmad_bin_2': 0.08774730563163757, 'redshifts/nmad_bin_3': 0.06921809911727905, 'redshifts/nmad_bin_4': 0.06248326972126961, 'redshifts/nmad_bin_5': 0.03480564430356026, 'redshifts/outlier_fraction': 0.3274081349372864, 'redshifts/outlier_fraction_bin_0': 0.489218145608902, 'redshifts/outlier_fraction_bin_1': 0.35515686869621277, 'redshifts/outlier_fraction_bin_2': 0.26176023483276367, 'redshifts/outlier_fraction_bin_3': 0.1919783651828766, 'redshifts/outlier_fraction_bin_4': 0.19101978838443756, 'redshifts/outlier_fraction_bin_5': 0.090571828186512, 'redshifts/outlier_fraction_cata': 0.08943919092416763, 'redshifts/outlier_fraction_cata_bin_0': 0.132999449968338, 'redshifts/outlier_fraction_cata_bin_1': 0.10051411390304565, 'redshifts/outlier_fraction_cata_bin_2': 0.07840161770582199, 'redshifts/outlier_fraction_cata_bin_3': 0.0581342950463295, 'redshifts/outlier_fraction_cata_bin_4': 0.052511416375637054, 'redshifts/outlier_fraction_cata_bin_5': 0.016502493992447853}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|███▉ | 618/1563 [55:36<1:56:42, 7.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39310.])\n", + "total num of pts: tensor([14402., 9556., 3966., 2228., 1318., 7840.])\n", + "{'redshifts/bias_abs': 0.07572967559099197, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004256457556039095, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.0037104920484125614, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': -0.000314563512802124, 'redshifts/mse': 0.3133528530597687, 'redshifts/mse_bin_0': 0.44109830260276794, 'redshifts/mse_bin_1': 0.3678993880748749, 'redshifts/mse_bin_2': 0.2802819311618805, 'redshifts/mse_bin_3': 0.21629799902439117, 'redshifts/mse_bin_4': 0.21587629616260529, 'redshifts/mse_bin_5': 0.0729011744260788, 'redshifts/nmad': 0.11218207329511642, 'redshifts/nmad_bin_0': 0.2138984203338623, 'redshifts/nmad_bin_1': 0.13377293944358826, 'redshifts/nmad_bin_2': 0.08779904991388321, 'redshifts/nmad_bin_3': 0.06924706697463989, 'redshifts/nmad_bin_4': 0.06266728788614273, 'redshifts/nmad_bin_5': 0.034800875931978226, 'redshifts/outlier_fraction': 0.32757568359375, 'redshifts/outlier_fraction_bin_0': 0.48972365260124207, 'redshifts/outlier_fraction_bin_1': 0.35516953468322754, 'redshifts/outlier_fraction_bin_2': 0.26197680830955505, 'redshifts/outlier_fraction_bin_3': 0.19254937767982483, 'redshifts/outlier_fraction_bin_4': 0.19044005870819092, 'redshifts/outlier_fraction_bin_5': 0.09068877249956131, 'redshifts/outlier_fraction_cata': 0.08957008272409439, 'redshifts/outlier_fraction_cata_bin_0': 0.13324537873268127, 'redshifts/outlier_fraction_cata_bin_1': 0.1006697341799736, 'redshifts/outlier_fraction_cata_bin_2': 0.07841654121875763, 'redshifts/outlier_fraction_cata_bin_3': 0.05879712849855423, 'redshifts/outlier_fraction_cata_bin_4': 0.052352048456668854, 'redshifts/outlier_fraction_cata_bin_5': 0.01645408198237419}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|███▉ | 619/1563 [55:45<2:01:44, 7.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39379.])\n", + "total num of pts: tensor([14417., 9573., 3976., 2235., 1326., 7852.])\n", + "{'redshifts/bias_abs': 0.07571227848529816, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004251072183251381, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0037054959684610367, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0003209456044714898, 'redshifts/mse': 0.31318992376327515, 'redshifts/mse_bin_0': 0.44087329506874084, 'redshifts/mse_bin_1': 0.3680541515350342, 'redshifts/mse_bin_2': 0.2802034020423889, 'redshifts/mse_bin_3': 0.21567368507385254, 'redshifts/mse_bin_4': 0.21515488624572754, 'redshifts/mse_bin_5': 0.07288119196891785, 'redshifts/nmad': 0.11215914785861969, 'redshifts/nmad_bin_0': 0.2140192836523056, 'redshifts/nmad_bin_1': 0.13372920453548431, 'redshifts/nmad_bin_2': 0.08780646324157715, 'redshifts/nmad_bin_3': 0.0695129856467247, 'redshifts/nmad_bin_4': 0.06279508769512177, 'redshifts/nmad_bin_5': 0.034806028008461, 'redshifts/outlier_fraction': 0.3275603652000427, 'redshifts/outlier_fraction_bin_0': 0.48976901173591614, 'redshifts/outlier_fraction_bin_1': 0.35516557097435, 'redshifts/outlier_fraction_bin_2': 0.26207244396209717, 'redshifts/outlier_fraction_bin_3': 0.19194631278514862, 'redshifts/outlier_fraction_bin_4': 0.19079940021038055, 'redshifts/outlier_fraction_bin_5': 0.09093225002288818, 'redshifts/outlier_fraction_cata': 0.08948931843042374, 'redshifts/outlier_fraction_cata_bin_0': 0.13317611813545227, 'redshifts/outlier_fraction_cata_bin_1': 0.10059542208909988, 'redshifts/outlier_fraction_cata_bin_2': 0.07847082614898682, 'redshifts/outlier_fraction_cata_bin_3': 0.05861297622323036, 'redshifts/outlier_fraction_cata_bin_4': 0.05203619971871376, 'redshifts/outlier_fraction_cata_bin_5': 0.016428934410214424}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|███▉ | 620/1563 [55:52<1:58:31, 7.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39440.])\n", + "total num of pts: tensor([14440., 9587., 3982., 2238., 1328., 7865.])\n", + "{'redshifts/bias_abs': 0.07567549496889114, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004232398699969053, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.003663914278149605, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0003209456044714898, 'redshifts/mse': 0.3131220042705536, 'redshifts/mse_bin_0': 0.44088807702064514, 'redshifts/mse_bin_1': 0.3679817020893097, 'redshifts/mse_bin_2': 0.2801511287689209, 'redshifts/mse_bin_3': 0.21541514992713928, 'redshifts/mse_bin_4': 0.21483200788497925, 'redshifts/mse_bin_5': 0.07276979833841324, 'redshifts/nmad': 0.11214639991521835, 'redshifts/nmad_bin_0': 0.21396119892597198, 'redshifts/nmad_bin_1': 0.13394014537334442, 'redshifts/nmad_bin_2': 0.08776850998401642, 'redshifts/nmad_bin_3': 0.06917094439268112, 'redshifts/nmad_bin_4': 0.06248326972126961, 'redshifts/nmad_bin_5': 0.03481033816933632, 'redshifts/outlier_fraction': 0.3275355100631714, 'redshifts/outlier_fraction_bin_0': 0.4896121919155121, 'redshifts/outlier_fraction_bin_1': 0.3554813861846924, 'redshifts/outlier_fraction_bin_2': 0.26217982172966003, 'redshifts/outlier_fraction_bin_3': 0.19168901443481445, 'redshifts/outlier_fraction_bin_4': 0.1905120462179184, 'redshifts/outlier_fraction_bin_5': 0.09078194200992584, 'redshifts/outlier_fraction_cata': 0.08947768807411194, 'redshifts/outlier_fraction_cata_bin_0': 0.13317175209522247, 'redshifts/outlier_fraction_cata_bin_1': 0.1006571426987648, 'redshifts/outlier_fraction_cata_bin_2': 0.07835258543491364, 'redshifts/outlier_fraction_cata_bin_3': 0.0585344061255455, 'redshifts/outlier_fraction_cata_bin_4': 0.05195783078670502, 'redshifts/outlier_fraction_cata_bin_5': 0.016401780769228935}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|███▉ | 621/1563 [56:00<1:59:32, 7.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39510.])\n", + "total num of pts: tensor([14475., 9603., 3987., 2243., 1330., 7872.])\n", + "{'redshifts/bias_abs': 0.07566921412944794, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004201077856123447, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.00035414978628978133, 'redshifts/mse': 0.3130936920642853, 'redshifts/mse_bin_0': 0.44090646505355835, 'redshifts/mse_bin_1': 0.3677428662776947, 'redshifts/mse_bin_2': 0.27986690402030945, 'redshifts/mse_bin_3': 0.2149597406387329, 'redshifts/mse_bin_4': 0.2153387814760208, 'redshifts/mse_bin_5': 0.07271543890237808, 'redshifts/nmad': 0.11215030401945114, 'redshifts/nmad_bin_0': 0.21383650600910187, 'redshifts/nmad_bin_1': 0.13390392065048218, 'redshifts/nmad_bin_2': 0.08779534697532654, 'redshifts/nmad_bin_3': 0.06907370686531067, 'redshifts/nmad_bin_4': 0.06248326972126961, 'redshifts/nmad_bin_5': 0.03483619540929794, 'redshifts/outlier_fraction': 0.32748672366142273, 'redshifts/outlier_fraction_bin_0': 0.48946458101272583, 'redshifts/outlier_fraction_bin_1': 0.35530564188957214, 'redshifts/outlier_fraction_bin_2': 0.26210182905197144, 'redshifts/outlier_fraction_bin_3': 0.19126170873641968, 'redshifts/outlier_fraction_bin_4': 0.19097743928432465, 'redshifts/outlier_fraction_bin_5': 0.09070122241973877, 'redshifts/outlier_fraction_cata': 0.08947101980447769, 'redshifts/outlier_fraction_cata_bin_0': 0.13312608003616333, 'redshifts/outlier_fraction_cata_bin_1': 0.10059356689453125, 'redshifts/outlier_fraction_cata_bin_2': 0.0782543271780014, 'redshifts/outlier_fraction_cata_bin_3': 0.058403924107551575, 'redshifts/outlier_fraction_cata_bin_4': 0.05263157933950424, 'redshifts/outlier_fraction_cata_bin_5': 0.016387194395065308}\n", + "total num of pts: tensor([39586.])\n", + "total num of pts: tensor([14493., 9622., 3994., 2244., 1333., 7900.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|███▉ | 622/1563 [56:14<2:30:20, 9.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0757506713271141, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.0042060911655426025, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.006178225856274366, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0003209456044714898, 'redshifts/mse': 0.31313273310661316, 'redshifts/mse_bin_0': 0.4409724175930023, 'redshifts/mse_bin_1': 0.36767563223838806, 'redshifts/mse_bin_2': 0.28045207262039185, 'redshifts/mse_bin_3': 0.2148640900850296, 'redshifts/mse_bin_4': 0.21488241851329803, 'redshifts/mse_bin_5': 0.07318833470344543, 'redshifts/nmad': 0.11219709366559982, 'redshifts/nmad_bin_0': 0.2138967365026474, 'redshifts/nmad_bin_1': 0.13389907777309418, 'redshifts/nmad_bin_2': 0.08782927691936493, 'redshifts/nmad_bin_3': 0.06895911693572998, 'redshifts/nmad_bin_4': 0.06248326972126961, 'redshifts/nmad_bin_5': 0.034848347306251526, 'redshifts/outlier_fraction': 0.3275400400161743, 'redshifts/outlier_fraction_bin_0': 0.48954668641090393, 'redshifts/outlier_fraction_bin_1': 0.35533154010772705, 'redshifts/outlier_fraction_bin_2': 0.26289433240890503, 'redshifts/outlier_fraction_bin_3': 0.19117647409439087, 'redshifts/outlier_fraction_bin_4': 0.1905476301908493, 'redshifts/outlier_fraction_bin_5': 0.09101265668869019, 'redshifts/outlier_fraction_cata': 0.08945081382989883, 'redshifts/outlier_fraction_cata_bin_0': 0.13316772878170013, 'redshifts/outlier_fraction_cata_bin_1': 0.10049885511398315, 'redshifts/outlier_fraction_cata_bin_2': 0.07836755365133286, 'redshifts/outlier_fraction_cata_bin_3': 0.05837789550423622, 'redshifts/outlier_fraction_cata_bin_4': 0.05251313000917435, 'redshifts/outlier_fraction_cata_bin_5': 0.016455696895718575}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|███▉ | 623/1563 [56:21<2:16:50, 8.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39644.])\n", + "total num of pts: tensor([14526., 9631., 3998., 2246., 1334., 7909.])\n", + "{'redshifts/bias_abs': 0.07578330487012863, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09047881513834, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.0041963690891861916, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.006178225856274366, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.00035268068313598633, 'redshifts/mse': 0.3131192922592163, 'redshifts/mse_bin_0': 0.4409726858139038, 'redshifts/mse_bin_1': 0.3675984740257263, 'redshifts/mse_bin_2': 0.2802239656448364, 'redshifts/mse_bin_3': 0.21475666761398315, 'redshifts/mse_bin_4': 0.21472224593162537, 'redshifts/mse_bin_5': 0.07311868667602539, 'redshifts/nmad': 0.11225317418575287, 'redshifts/nmad_bin_0': 0.21410039067268372, 'redshifts/nmad_bin_1': 0.13382959365844727, 'redshifts/nmad_bin_2': 0.08782927691936493, 'redshifts/nmad_bin_3': 0.06895911693572998, 'redshifts/nmad_bin_4': 0.06243792548775673, 'redshifts/nmad_bin_5': 0.03485738858580589, 'redshifts/outlier_fraction': 0.3276914656162262, 'redshifts/outlier_fraction_bin_0': 0.4897425174713135, 'redshifts/outlier_fraction_bin_1': 0.35531097650527954, 'redshifts/outlier_fraction_bin_2': 0.26288142800331116, 'redshifts/outlier_fraction_bin_3': 0.19145147502422333, 'redshifts/outlier_fraction_bin_4': 0.19040480256080627, 'redshifts/outlier_fraction_bin_5': 0.09103552997112274, 'redshifts/outlier_fraction_cata': 0.0894460678100586, 'redshifts/outlier_fraction_cata_bin_0': 0.13314057886600494, 'redshifts/outlier_fraction_cata_bin_1': 0.10050877183675766, 'redshifts/outlier_fraction_cata_bin_2': 0.07828914374113083, 'redshifts/outlier_fraction_cata_bin_3': 0.058325912803411484, 'redshifts/outlier_fraction_cata_bin_4': 0.0524737648665905, 'redshifts/outlier_fraction_cata_bin_5': 0.016436969861388206}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|███▉ | 624/1563 [56:26<2:00:52, 7.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39713.])\n", + "total num of pts: tensor([14551., 9645., 4006., 2251., 1336., 7924.])\n", + "{'redshifts/bias_abs': 0.07581054419279099, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004209011793136597, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.003690107259899378, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.00035268068313598633, 'redshifts/mse': 0.3132253885269165, 'redshifts/mse_bin_0': 0.44086623191833496, 'redshifts/mse_bin_1': 0.3678661286830902, 'redshifts/mse_bin_2': 0.2810664176940918, 'redshifts/mse_bin_3': 0.2155495285987854, 'redshifts/mse_bin_4': 0.21445538103580475, 'redshifts/mse_bin_5': 0.07298865914344788, 'redshifts/nmad': 0.11228606849908829, 'redshifts/nmad_bin_0': 0.21415793895721436, 'redshifts/nmad_bin_1': 0.1339959055185318, 'redshifts/nmad_bin_2': 0.0878913626074791, 'redshifts/nmad_bin_3': 0.06875953823328018, 'redshifts/nmad_bin_4': 0.06243792548775673, 'redshifts/nmad_bin_5': 0.03485307842493057, 'redshifts/outlier_fraction': 0.32772642374038696, 'redshifts/outlier_fraction_bin_0': 0.48979452252388, 'redshifts/outlier_fraction_bin_1': 0.3556246757507324, 'redshifts/outlier_fraction_bin_2': 0.2628557085990906, 'redshifts/outlier_fraction_bin_3': 0.1914704591035843, 'redshifts/outlier_fraction_bin_4': 0.19011975824832916, 'redshifts/outlier_fraction_bin_5': 0.0908631980419159, 'redshifts/outlier_fraction_cata': 0.08949210494756699, 'redshifts/outlier_fraction_cata_bin_0': 0.13311800360679626, 'redshifts/outlier_fraction_cata_bin_1': 0.10067392140626907, 'redshifts/outlier_fraction_cata_bin_2': 0.07838242501020432, 'redshifts/outlier_fraction_cata_bin_3': 0.058640602976083755, 'redshifts/outlier_fraction_cata_bin_4': 0.052395209670066833, 'redshifts/outlier_fraction_cata_bin_5': 0.016405856236815453}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|███▉ | 625/1563 [56:31<1:49:17, 6.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([39789.])\n", + "total num of pts: tensor([14569., 9661., 4017., 2257., 1339., 7946.])\n", + "{'redshifts/bias_abs': 0.07580774277448654, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09052722901105881, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023437703028321266, 'redshifts/bias': 0.004209011793136597, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': -0.00031890618265606463, 'redshifts/mse': 0.31318917870521545, 'redshifts/mse_bin_0': 0.4407738745212555, 'redshifts/mse_bin_1': 0.36772090196609497, 'redshifts/mse_bin_2': 0.28234052658081055, 'redshifts/mse_bin_3': 0.2153894007205963, 'redshifts/mse_bin_4': 0.21413645148277283, 'redshifts/mse_bin_5': 0.07302980124950409, 'redshifts/nmad': 0.11227693408727646, 'redshifts/nmad_bin_0': 0.21415793895721436, 'redshifts/nmad_bin_1': 0.1338382214307785, 'redshifts/nmad_bin_2': 0.08826985210180283, 'redshifts/nmad_bin_3': 0.06885849684476852, 'redshifts/nmad_bin_4': 0.06239412724971771, 'redshifts/nmad_bin_5': 0.034799207001924515, 'redshifts/outlier_fraction': 0.32757797837257385, 'redshifts/outlier_fraction_bin_0': 0.48953256011009216, 'redshifts/outlier_fraction_bin_1': 0.35544973611831665, 'redshifts/outlier_fraction_bin_2': 0.26338064670562744, 'redshifts/outlier_fraction_bin_3': 0.19184759259223938, 'redshifts/outlier_fraction_bin_4': 0.19044062495231628, 'redshifts/outlier_fraction_bin_5': 0.09086332470178604, 'redshifts/outlier_fraction_cata': 0.08952222764492035, 'redshifts/outlier_fraction_cata_bin_0': 0.13315944373607635, 'redshifts/outlier_fraction_cata_bin_1': 0.10071421414613724, 'redshifts/outlier_fraction_cata_bin_2': 0.07866567373275757, 'redshifts/outlier_fraction_cata_bin_3': 0.05848471447825432, 'redshifts/outlier_fraction_cata_bin_4': 0.0522778183221817, 'redshifts/outlier_fraction_cata_bin_5': 0.016486281529068947}\n", + "total num of pts: tensor([39861.])\n", + "total num of pts: tensor([14598., 9684., 4019., 2260., 1342., 7958.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|████ | 626/1563 [56:48<2:31:54, 9.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07581827789545059, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023437703028321266, 'redshifts/bias': 0.004251072183251381, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': -0.000308837799821049, 'redshifts/mse': 0.31317776441574097, 'redshifts/mse_bin_0': 0.4407074749469757, 'redshifts/mse_bin_1': 0.36740538477897644, 'redshifts/mse_bin_2': 0.282330185174942, 'redshifts/mse_bin_3': 0.21686027944087982, 'redshifts/mse_bin_4': 0.21380934119224548, 'redshifts/mse_bin_5': 0.07294250279664993, 'redshifts/nmad': 0.11233010143041611, 'redshifts/nmad_bin_0': 0.21406680345535278, 'redshifts/nmad_bin_1': 0.1337374895811081, 'redshifts/nmad_bin_2': 0.088379867374897, 'redshifts/nmad_bin_3': 0.06884296983480453, 'redshifts/nmad_bin_4': 0.06239412724971771, 'redshifts/nmad_bin_5': 0.034787826240062714, 'redshifts/outlier_fraction': 0.32758837938308716, 'redshifts/outlier_fraction_bin_0': 0.4895191192626953, 'redshifts/outlier_fraction_bin_1': 0.3552251160144806, 'redshifts/outlier_fraction_bin_2': 0.2634983956813812, 'redshifts/outlier_fraction_bin_3': 0.19203539192676544, 'redshifts/outlier_fraction_bin_4': 0.1907600611448288, 'redshifts/outlier_fraction_bin_5': 0.09085197001695633, 'redshifts/outlier_fraction_cata': 0.0895361378788948, 'redshifts/outlier_fraction_cata_bin_0': 0.13323743641376495, 'redshifts/outlier_fraction_cata_bin_1': 0.10057827085256577, 'redshifts/outlier_fraction_cata_bin_2': 0.07862652093172073, 'redshifts/outlier_fraction_cata_bin_3': 0.05884955823421478, 'redshifts/outlier_fraction_cata_bin_4': 0.05216095224022865, 'redshifts/outlier_fraction_cata_bin_5': 0.01646142266690731}\n", + "total num of pts: tensor([39941.])\n", + "total num of pts: tensor([14618., 9708., 4031., 2265., 1344., 7975.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|████ | 627/1563 [56:56<2:25:17, 9.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07582245022058487, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023439079523086548, 'redshifts/bias': 0.004251072183251381, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010670020245015621, 'redshifts/bias_bin_2': -0.003274857532233, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.00029888490098528564, 'redshifts/mse': 0.3133426308631897, 'redshifts/mse_bin_0': 0.4412791132926941, 'redshifts/mse_bin_1': 0.36744341254234314, 'redshifts/mse_bin_2': 0.28212061524391174, 'redshifts/mse_bin_3': 0.21702933311462402, 'redshifts/mse_bin_4': 0.21354219317436218, 'redshifts/mse_bin_5': 0.07293757051229477, 'redshifts/nmad': 0.11233010143041611, 'redshifts/nmad_bin_0': 0.21412119269371033, 'redshifts/nmad_bin_1': 0.13373874127864838, 'redshifts/nmad_bin_2': 0.08818944543600082, 'redshifts/nmad_bin_3': 0.06917702406644821, 'redshifts/nmad_bin_4': 0.06243792548775673, 'redshifts/nmad_bin_5': 0.03478047251701355, 'redshifts/outlier_fraction': 0.32760822772979736, 'redshifts/outlier_fraction_bin_0': 0.48960185050964355, 'redshifts/outlier_fraction_bin_1': 0.35517099499702454, 'redshifts/outlier_fraction_bin_2': 0.2637062668800354, 'redshifts/outlier_fraction_bin_3': 0.1924944818019867, 'redshifts/outlier_fraction_bin_4': 0.190476194024086, 'redshifts/outlier_fraction_bin_5': 0.09090909361839294, 'redshifts/outlier_fraction_cata': 0.08955709636211395, 'redshifts/outlier_fraction_cata_bin_0': 0.13332876563072205, 'redshifts/outlier_fraction_cata_bin_1': 0.10063865035772324, 'redshifts/outlier_fraction_cata_bin_2': 0.07864053547382355, 'redshifts/outlier_fraction_cata_bin_3': 0.05871964618563652, 'redshifts/outlier_fraction_cata_bin_4': 0.0520833320915699, 'redshifts/outlier_fraction_cata_bin_5': 0.01642633229494095}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|████ | 628/1563 [57:02<2:09:51, 8.33s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40010.])\n", + "total num of pts: tensor([14641., 9728., 4040., 2269., 1348., 7984.])\n", + "{'redshifts/bias_abs': 0.07581827789545059, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09052722901105881, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02345028519630432, 'redshifts/bias': 0.004269473720341921, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': -0.0002982959558721632, 'redshifts/mse': 0.31328731775283813, 'redshifts/mse_bin_0': 0.44100144505500793, 'redshifts/mse_bin_1': 0.36748799681663513, 'redshifts/mse_bin_2': 0.2828235328197479, 'redshifts/mse_bin_3': 0.21665126085281372, 'redshifts/mse_bin_4': 0.21298736333847046, 'redshifts/mse_bin_5': 0.07286106795072556, 'redshifts/nmad': 0.11229970306158066, 'redshifts/nmad_bin_0': 0.2140026092529297, 'redshifts/nmad_bin_1': 0.13379335403442383, 'redshifts/nmad_bin_2': 0.08805132657289505, 'redshifts/nmad_bin_3': 0.06906364858150482, 'redshifts/nmad_bin_4': 0.06239412724971771, 'redshifts/nmad_bin_5': 0.03478625789284706, 'redshifts/outlier_fraction': 0.3274931311607361, 'redshifts/outlier_fraction_bin_0': 0.4894474446773529, 'redshifts/outlier_fraction_bin_1': 0.35505756735801697, 'redshifts/outlier_fraction_bin_2': 0.26386138796806335, 'redshifts/outlier_fraction_bin_3': 0.1921551376581192, 'redshifts/outlier_fraction_bin_4': 0.18991097807884216, 'redshifts/outlier_fraction_bin_5': 0.09080661088228226, 'redshifts/outlier_fraction_cata': 0.08950262516736984, 'redshifts/outlier_fraction_cata_bin_0': 0.13318762183189392, 'redshifts/outlier_fraction_cata_bin_1': 0.10063733905553818, 'redshifts/outlier_fraction_cata_bin_2': 0.07871287316083908, 'redshifts/outlier_fraction_cata_bin_3': 0.05861613154411316, 'redshifts/outlier_fraction_cata_bin_4': 0.05192878469824791, 'redshifts/outlier_fraction_cata_bin_5': 0.016407815739512444}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|████ | 629/1563 [57:08<2:00:00, 7.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40075.])\n", + "total num of pts: tensor([14664., 9749., 4048., 2269., 1352., 7993.])\n", + "{'redshifts/bias_abs': 0.07581742107868195, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004276425112038851, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': -0.0002982959558721632, 'redshifts/mse': 0.3134605884552002, 'redshifts/mse_bin_0': 0.4410989284515381, 'redshifts/mse_bin_1': 0.36735013127326965, 'redshifts/mse_bin_2': 0.283915638923645, 'redshifts/mse_bin_3': 0.21665126085281372, 'redshifts/mse_bin_4': 0.2124066948890686, 'redshifts/mse_bin_5': 0.07310552895069122, 'redshifts/nmad': 0.11229819059371948, 'redshifts/nmad_bin_0': 0.21394595503807068, 'redshifts/nmad_bin_1': 0.13353222608566284, 'redshifts/nmad_bin_2': 0.088251031935215, 'redshifts/nmad_bin_3': 0.06906364858150482, 'redshifts/nmad_bin_4': 0.062186095863580704, 'redshifts/nmad_bin_5': 0.03485710546374321, 'redshifts/outlier_fraction': 0.32756081223487854, 'redshifts/outlier_fraction_bin_0': 0.48942989110946655, 'redshifts/outlier_fraction_bin_1': 0.35490819811820984, 'redshifts/outlier_fraction_bin_2': 0.2643280625343323, 'redshifts/outlier_fraction_bin_3': 0.1921551376581192, 'redshifts/outlier_fraction_bin_4': 0.18934911489486694, 'redshifts/outlier_fraction_bin_5': 0.0910796970129013, 'redshifts/outlier_fraction_cata': 0.08950717747211456, 'redshifts/outlier_fraction_cata_bin_0': 0.1331833004951477, 'redshifts/outlier_fraction_cata_bin_1': 0.10052312910556793, 'redshifts/outlier_fraction_cata_bin_2': 0.07880435138940811, 'redshifts/outlier_fraction_cata_bin_3': 0.05861613154411316, 'redshifts/outlier_fraction_cata_bin_4': 0.05177514627575874, 'redshifts/outlier_fraction_cata_bin_5': 0.016514450311660767}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|████ | 630/1563 [57:13<1:47:49, 6.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40133.])\n", + "total num of pts: tensor([14684., 9767., 4051., 2274., 1354., 8003.])\n", + "{'redshifts/bias_abs': 0.07581827789545059, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004276101943105459, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': -0.0002899765968322754, 'redshifts/mse': 0.31339436769485474, 'redshifts/mse_bin_0': 0.44090938568115234, 'redshifts/mse_bin_1': 0.36760184168815613, 'redshifts/mse_bin_2': 0.283772349357605, 'redshifts/mse_bin_3': 0.21619397401809692, 'redshifts/mse_bin_4': 0.21211282908916473, 'redshifts/mse_bin_5': 0.07302311807870865, 'redshifts/nmad': 0.11230018734931946, 'redshifts/nmad_bin_0': 0.21394376456737518, 'redshifts/nmad_bin_1': 0.1335696280002594, 'redshifts/nmad_bin_2': 0.08827673643827438, 'redshifts/nmad_bin_3': 0.06872250884771347, 'redshifts/nmad_bin_4': 0.06200147792696953, 'redshifts/nmad_bin_5': 0.03482651710510254, 'redshifts/outlier_fraction': 0.3275359570980072, 'redshifts/outlier_fraction_bin_0': 0.48930808901786804, 'redshifts/outlier_fraction_bin_1': 0.35517558455467224, 'redshifts/outlier_fraction_bin_2': 0.2643791735172272, 'redshifts/outlier_fraction_bin_3': 0.19173263013362885, 'redshifts/outlier_fraction_bin_4': 0.18906942009925842, 'redshifts/outlier_fraction_bin_5': 0.0909658893942833, 'redshifts/outlier_fraction_cata': 0.089427649974823, 'redshifts/outlier_fraction_cata_bin_0': 0.13307000696659088, 'redshifts/outlier_fraction_cata_bin_1': 0.10044025629758835, 'redshifts/outlier_fraction_cata_bin_2': 0.07874599099159241, 'redshifts/outlier_fraction_cata_bin_3': 0.05848724767565727, 'redshifts/outlier_fraction_cata_bin_4': 0.05169866979122162, 'redshifts/outlier_fraction_cata_bin_5': 0.016493814066052437}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|████ | 631/1563 [57:18<1:36:48, 6.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40201.])\n", + "total num of pts: tensor([14712., 9779., 4056., 2281., 1356., 8017.])\n", + "{'redshifts/bias_abs': 0.07581827789545059, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.004269473720341921, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': -0.0002908269234467298, 'redshifts/mse': 0.31328460574150085, 'redshifts/mse_bin_0': 0.44061100482940674, 'redshifts/mse_bin_1': 0.36765342950820923, 'redshifts/mse_bin_2': 0.28344178199768066, 'redshifts/mse_bin_3': 0.21580570936203003, 'redshifts/mse_bin_4': 0.211806982755661, 'redshifts/mse_bin_5': 0.07330873608589172, 'redshifts/nmad': 0.11230281740427017, 'redshifts/nmad_bin_0': 0.21385732293128967, 'redshifts/nmad_bin_1': 0.13369296491146088, 'redshifts/nmad_bin_2': 0.08819866180419922, 'redshifts/nmad_bin_3': 0.06873486936092377, 'redshifts/nmad_bin_4': 0.06189722195267677, 'redshifts/nmad_bin_5': 0.03484083339571953, 'redshifts/outlier_fraction': 0.32747942209243774, 'redshifts/outlier_fraction_bin_0': 0.48898857831954956, 'redshifts/outlier_fraction_bin_1': 0.3555578291416168, 'redshifts/outlier_fraction_bin_2': 0.26405325531959534, 'redshifts/outlier_fraction_bin_3': 0.19158263504505157, 'redshifts/outlier_fraction_bin_4': 0.18879055976867676, 'redshifts/outlier_fraction_bin_5': 0.09105650335550308, 'redshifts/outlier_fraction_cata': 0.08942563831806183, 'redshifts/outlier_fraction_cata_bin_0': 0.13295269012451172, 'redshifts/outlier_fraction_cata_bin_1': 0.10062378644943237, 'redshifts/outlier_fraction_cata_bin_2': 0.07864891737699509, 'redshifts/outlier_fraction_cata_bin_3': 0.05830775946378708, 'redshifts/outlier_fraction_cata_bin_4': 0.0516224205493927, 'redshifts/outlier_fraction_cata_bin_5': 0.01658974587917328}\n", + "total num of pts: tensor([40262.])\n", + "total num of pts: tensor([14732., 9793., 4065., 2283., 1360., 8029.])\n", + "{'redshifts/bias_abs': 0.07581742107868195, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09052722901105881, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.004253976047039032, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': -0.000308837799821049, 'redshifts/mse': 0.3131246566772461, 'redshifts/mse_bin_0': 0.4406435489654541, 'redshifts/mse_bin_1': 0.367252916097641, 'redshifts/mse_bin_2': 0.28320619463920593, 'redshifts/mse_bin_3': 0.2157112956047058, 'redshifts/mse_bin_4': 0.21119511127471924, 'redshifts/mse_bin_5': 0.07324028015136719, 'redshifts/nmad': 0.11232579499483109, 'redshifts/nmad_bin_0': 0.21397346258163452, 'redshifts/nmad_bin_1': 0.1336222141981125, 'redshifts/nmad_bin_2': 0.088251031935215, 'redshifts/nmad_bin_3': 0.06872250884771347, 'redshifts/nmad_bin_4': 0.061740580946207047, 'redshifts/nmad_bin_5': 0.034854479134082794, 'redshifts/outlier_fraction': 0.32745516300201416, 'redshifts/outlier_fraction_bin_0': 0.48913928866386414, 'redshifts/outlier_fraction_bin_1': 0.3553558588027954, 'redshifts/outlier_fraction_bin_2': 0.26371464133262634, 'redshifts/outlier_fraction_bin_3': 0.19185282289981842, 'redshifts/outlier_fraction_bin_4': 0.1882352977991104, 'redshifts/outlier_fraction_bin_5': 0.09116951376199722, 'redshifts/outlier_fraction_cata': 0.08933982253074646, 'redshifts/outlier_fraction_cata_bin_0': 0.1328400820493698, 'redshifts/outlier_fraction_cata_bin_1': 0.10047993808984756, 'redshifts/outlier_fraction_cata_bin_2': 0.07872078567743301, 'redshifts/outlier_fraction_cata_bin_3': 0.05825667828321457, 'redshifts/outlier_fraction_cata_bin_4': 0.05147058889269829, 'redshifts/outlier_fraction_cata_bin_5': 0.016564952209591866}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|████ | 633/1563 [57:29<1:29:31, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40326.])\n", + "total num of pts: tensor([14757., 9809., 4070., 2287., 1362., 8041.])\n", + "{'redshifts/bias_abs': 0.07581369578838348, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004232741892337799, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.0035443080123513937, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': -0.00031890618265606463, 'redshifts/mse': 0.3131536841392517, 'redshifts/mse_bin_0': 0.44099119305610657, 'redshifts/mse_bin_1': 0.36714956164360046, 'redshifts/mse_bin_2': 0.2828822135925293, 'redshifts/mse_bin_3': 0.2153598815202713, 'redshifts/mse_bin_4': 0.21088580787181854, 'redshifts/mse_bin_5': 0.0731363371014595, 'redshifts/nmad': 0.11232125759124756, 'redshifts/nmad_bin_0': 0.21410039067268372, 'redshifts/nmad_bin_1': 0.13361793756484985, 'redshifts/nmad_bin_2': 0.08801973611116409, 'redshifts/nmad_bin_3': 0.06887827068567276, 'redshifts/nmad_bin_4': 0.06159854307770729, 'redshifts/nmad_bin_5': 0.03485137224197388, 'redshifts/outlier_fraction': 0.32750582695007324, 'redshifts/outlier_fraction_bin_0': 0.4893271028995514, 'redshifts/outlier_fraction_bin_1': 0.3555918037891388, 'redshifts/outlier_fraction_bin_2': 0.2633906602859497, 'redshifts/outlier_fraction_bin_3': 0.19151727855205536, 'redshifts/outlier_fraction_bin_4': 0.18795888125896454, 'redshifts/outlier_fraction_bin_5': 0.0910334512591362, 'redshifts/outlier_fraction_cata': 0.08932202309370041, 'redshifts/outlier_fraction_cata_bin_0': 0.1328183263540268, 'redshifts/outlier_fraction_cata_bin_1': 0.10051993280649185, 'redshifts/outlier_fraction_cata_bin_2': 0.07862407714128494, 'redshifts/outlier_fraction_cata_bin_3': 0.05815478786826134, 'redshifts/outlier_fraction_cata_bin_4': 0.051395006477832794, 'redshifts/outlier_fraction_cata_bin_5': 0.016540231183171272}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 634/1563 [57:34<1:27:07, 5.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40388.])\n", + "total num of pts: tensor([14779., 9822., 4078., 2291., 1362., 8056.])\n", + "{'redshifts/bias_abs': 0.07582593709230423, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09052722901105881, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004252952057868242, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': -0.00029888490098528564, 'redshifts/mse': 0.31289488077163696, 'redshifts/mse_bin_0': 0.44072091579437256, 'redshifts/mse_bin_1': 0.3668156564235687, 'redshifts/mse_bin_2': 0.2823864817619324, 'redshifts/mse_bin_3': 0.21502679586410522, 'redshifts/mse_bin_4': 0.21088580787181854, 'redshifts/mse_bin_5': 0.07317699491977692, 'redshifts/nmad': 0.11235406994819641, 'redshifts/nmad_bin_0': 0.21410039067268372, 'redshifts/nmad_bin_1': 0.13376227021217346, 'redshifts/nmad_bin_2': 0.08827673643827438, 'redshifts/nmad_bin_3': 0.06870722025632858, 'redshifts/nmad_bin_4': 0.06159854307770729, 'redshifts/nmad_bin_5': 0.03482888638973236, 'redshifts/outlier_fraction': 0.3274487555027008, 'redshifts/outlier_fraction_bin_0': 0.48927533626556396, 'redshifts/outlier_fraction_bin_1': 0.35552841424942017, 'redshifts/outlier_fraction_bin_2': 0.26287394762039185, 'redshifts/outlier_fraction_bin_3': 0.1916193813085556, 'redshifts/outlier_fraction_bin_4': 0.18795888125896454, 'redshifts/outlier_fraction_bin_5': 0.09123634546995163, 'redshifts/outlier_fraction_cata': 0.0892096683382988, 'redshifts/outlier_fraction_cata_bin_0': 0.1326882690191269, 'redshifts/outlier_fraction_cata_bin_1': 0.10038688778877258, 'redshifts/outlier_fraction_cata_bin_2': 0.07846983522176743, 'redshifts/outlier_fraction_cata_bin_3': 0.05805325135588646, 'redshifts/outlier_fraction_cata_bin_4': 0.051395006477832794, 'redshifts/outlier_fraction_cata_bin_5': 0.016509434208273888}\n", + "total num of pts: tensor([40453.])\n", + "total num of pts: tensor([14801., 9841., 4080., 2293., 1362., 8076.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 635/1563 [57:41<1:30:57, 5.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07583078742027283, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02345028519630432, 'redshifts/bias': 0.004232741892337799, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': -0.000308837799821049, 'redshifts/mse': 0.31277626752853394, 'redshifts/mse_bin_0': 0.4405963122844696, 'redshifts/mse_bin_1': 0.36676928400993347, 'redshifts/mse_bin_2': 0.2822543978691101, 'redshifts/mse_bin_3': 0.21484032273292542, 'redshifts/mse_bin_4': 0.21088580787181854, 'redshifts/mse_bin_5': 0.07313789427280426, 'redshifts/nmad': 0.11236447840929031, 'redshifts/nmad_bin_0': 0.2140026092529297, 'redshifts/nmad_bin_1': 0.13400565087795258, 'redshifts/nmad_bin_2': 0.08827673643827438, 'redshifts/nmad_bin_3': 0.06848834455013275, 'redshifts/nmad_bin_4': 0.06159854307770729, 'redshifts/nmad_bin_5': 0.03479238599538803, 'redshifts/outlier_fraction': 0.3273922801017761, 'redshifts/outlier_fraction_bin_0': 0.4890210032463074, 'redshifts/outlier_fraction_bin_1': 0.3558581471443176, 'redshifts/outlier_fraction_bin_2': 0.26274511218070984, 'redshifts/outlier_fraction_bin_3': 0.1914522498846054, 'redshifts/outlier_fraction_bin_4': 0.18795888125896454, 'redshifts/outlier_fraction_bin_5': 0.09125804901123047, 'redshifts/outlier_fraction_cata': 0.08916520327329636, 'redshifts/outlier_fraction_cata_bin_0': 0.13262617588043213, 'redshifts/outlier_fraction_cata_bin_1': 0.1003962978720665, 'redshifts/outlier_fraction_cata_bin_2': 0.0784313753247261, 'redshifts/outlier_fraction_cata_bin_3': 0.058002617210149765, 'redshifts/outlier_fraction_cata_bin_4': 0.051395006477832794, 'redshifts/outlier_fraction_cata_bin_5': 0.016468549147248268}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 636/1563 [57:45<1:26:28, 5.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40514.])\n", + "total num of pts: tensor([14818., 9859., 4084., 2299., 1363., 8091.])\n", + "{'redshifts/bias_abs': 0.07581827789545059, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023439079523086548, 'redshifts/bias': 0.004215889144688845, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0035564019344747066, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': -0.0002982959558721632, 'redshifts/mse': 0.3129213750362396, 'redshifts/mse_bin_0': 0.44077879190444946, 'redshifts/mse_bin_1': 0.36704927682876587, 'redshifts/mse_bin_2': 0.28312960267066956, 'redshifts/mse_bin_3': 0.21448467671871185, 'redshifts/mse_bin_4': 0.21073149144649506, 'redshifts/mse_bin_5': 0.07303014397621155, 'redshifts/nmad': 0.1123150885105133, 'redshifts/nmad_bin_0': 0.2139260470867157, 'redshifts/nmad_bin_1': 0.13392290472984314, 'redshifts/nmad_bin_2': 0.08826985210180283, 'redshifts/nmad_bin_3': 0.06870722025632858, 'redshifts/nmad_bin_4': 0.06139051541686058, 'redshifts/nmad_bin_5': 0.03478134796023369, 'redshifts/outlier_fraction': 0.3273683190345764, 'redshifts/outlier_fraction_bin_0': 0.4889998733997345, 'redshifts/outlier_fraction_bin_1': 0.35601988434791565, 'redshifts/outlier_fraction_bin_2': 0.2627326250076294, 'redshifts/outlier_fraction_bin_3': 0.19138756394386292, 'redshifts/outlier_fraction_bin_4': 0.18782098591327667, 'redshifts/outlier_fraction_bin_5': 0.09121245890855789, 'redshifts/outlier_fraction_cata': 0.08912968635559082, 'redshifts/outlier_fraction_cata_bin_0': 0.1325415074825287, 'redshifts/outlier_fraction_cata_bin_1': 0.10041586309671402, 'redshifts/outlier_fraction_cata_bin_2': 0.07859941571950912, 'redshifts/outlier_fraction_cata_bin_3': 0.057851240038871765, 'redshifts/outlier_fraction_cata_bin_4': 0.05135729908943176, 'redshifts/outlier_fraction_cata_bin_5': 0.016438016667962074}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 637/1563 [57:50<1:21:12, 5.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40572.])\n", + "total num of pts: tensor([14838., 9874., 4089., 2302., 1366., 8103.])\n", + "{'redshifts/bias_abs': 0.07581369578838348, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023437703028321266, 'redshifts/bias': 0.004253976047039032, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0033883010037243366, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': -0.0002810308360494673, 'redshifts/mse': 0.3130688965320587, 'redshifts/mse_bin_0': 0.44044968485832214, 'redshifts/mse_bin_1': 0.36841633915901184, 'redshifts/mse_bin_2': 0.283033549785614, 'redshifts/mse_bin_3': 0.2142280489206314, 'redshifts/mse_bin_4': 0.21030621230602264, 'redshifts/mse_bin_5': 0.07293077558279037, 'redshifts/nmad': 0.11229929327964783, 'redshifts/nmad_bin_0': 0.21405179798603058, 'redshifts/nmad_bin_1': 0.13386797904968262, 'redshifts/nmad_bin_2': 0.08832119405269623, 'redshifts/nmad_bin_3': 0.06872250884771347, 'redshifts/nmad_bin_4': 0.06139051541686058, 'redshifts/nmad_bin_5': 0.03478140011429787, 'redshifts/outlier_fraction': 0.32731932401657104, 'redshifts/outlier_fraction_bin_0': 0.4892168641090393, 'redshifts/outlier_fraction_bin_1': 0.3557828664779663, 'redshifts/outlier_fraction_bin_2': 0.26265591382980347, 'redshifts/outlier_fraction_bin_3': 0.1911381334066391, 'redshifts/outlier_fraction_bin_4': 0.18740849196910858, 'redshifts/outlier_fraction_bin_5': 0.09107737988233566, 'redshifts/outlier_fraction_cata': 0.0890762135386467, 'redshifts/outlier_fraction_cata_bin_0': 0.13236285746097565, 'redshifts/outlier_fraction_cata_bin_1': 0.10056714713573456, 'redshifts/outlier_fraction_cata_bin_2': 0.07850330322980881, 'redshifts/outlier_fraction_cata_bin_3': 0.05777584761381149, 'redshifts/outlier_fraction_cata_bin_4': 0.05124450847506523, 'redshifts/outlier_fraction_cata_bin_5': 0.016413673758506775}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 638/1563 [57:56<1:25:44, 5.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40639.])\n", + "total num of pts: tensor([14856., 9894., 4095., 2305., 1367., 8122.])\n", + "{'redshifts/bias_abs': 0.07581827789545059, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004263460636138916, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.003181696869432926, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': -0.0002810308360494673, 'redshifts/mse': 0.31305330991744995, 'redshifts/mse_bin_0': 0.44049739837646484, 'redshifts/mse_bin_1': 0.3686625063419342, 'redshifts/mse_bin_2': 0.28288450837135315, 'redshifts/mse_bin_3': 0.21399110555648804, 'redshifts/mse_bin_4': 0.21049116551876068, 'redshifts/mse_bin_5': 0.07279153168201447, 'redshifts/nmad': 0.11231173574924469, 'redshifts/nmad_bin_0': 0.2139175683259964, 'redshifts/nmad_bin_1': 0.1340746134519577, 'redshifts/nmad_bin_2': 0.08840111643075943, 'redshifts/nmad_bin_3': 0.06873486936092377, 'redshifts/nmad_bin_4': 0.061564769595861435, 'redshifts/nmad_bin_5': 0.034812960773706436, 'redshifts/outlier_fraction': 0.3272472321987152, 'redshifts/outlier_fraction_bin_0': 0.4890280067920685, 'redshifts/outlier_fraction_bin_1': 0.35607439279556274, 'redshifts/outlier_fraction_bin_2': 0.26251527667045593, 'redshifts/outlier_fraction_bin_3': 0.190889373421669, 'redshifts/outlier_fraction_bin_4': 0.18800292909145355, 'redshifts/outlier_fraction_bin_5': 0.0909874439239502, 'redshifts/outlier_fraction_cata': 0.08905238658189774, 'redshifts/outlier_fraction_cata_bin_0': 0.13233710825443268, 'redshifts/outlier_fraction_cata_bin_1': 0.10056599974632263, 'redshifts/outlier_fraction_cata_bin_2': 0.07863248139619827, 'redshifts/outlier_fraction_cata_bin_3': 0.05770064890384674, 'redshifts/outlier_fraction_cata_bin_4': 0.05120702087879181, 'redshifts/outlier_fraction_cata_bin_5': 0.016375277191400528}\n", + "total num of pts: tensor([40710.])\n", + "total num of pts: tensor([14878., 9914., 4107., 2309., 1368., 8134.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 639/1563 [58:01<1:22:43, 5.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07577847689390182, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02345028519630432, 'redshifts/bias': 0.004270642064511776, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.003073889994993806, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': -0.0002810308360494673, 'redshifts/mse': 0.31282827258110046, 'redshifts/mse_bin_0': 0.44053128361701965, 'redshifts/mse_bin_1': 0.368099570274353, 'redshifts/mse_bin_2': 0.2820950150489807, 'redshifts/mse_bin_3': 0.2136359065771103, 'redshifts/mse_bin_4': 0.210337296128273, 'redshifts/mse_bin_5': 0.07279358804225922, 'redshifts/nmad': 0.11218271404504776, 'redshifts/nmad_bin_0': 0.21400436758995056, 'redshifts/nmad_bin_1': 0.13390392065048218, 'redshifts/nmad_bin_2': 0.08811888098716736, 'redshifts/nmad_bin_3': 0.06869485229253769, 'redshifts/nmad_bin_4': 0.06139051541686058, 'redshifts/nmad_bin_5': 0.03481185436248779, 'redshifts/outlier_fraction': 0.3270449638366699, 'redshifts/outlier_fraction_bin_0': 0.4890442192554474, 'redshifts/outlier_fraction_bin_1': 0.35555779933929443, 'redshifts/outlier_fraction_bin_2': 0.26174822449684143, 'redshifts/outlier_fraction_bin_3': 0.19099177420139313, 'redshifts/outlier_fraction_bin_4': 0.1878654956817627, 'redshifts/outlier_fraction_bin_5': 0.09097614884376526, 'redshifts/outlier_fraction_cata': 0.08904445916414261, 'redshifts/outlier_fraction_cata_bin_0': 0.13254469633102417, 'redshifts/outlier_fraction_cata_bin_1': 0.1003631204366684, 'redshifts/outlier_fraction_cata_bin_2': 0.07840272784233093, 'redshifts/outlier_fraction_cata_bin_3': 0.05760069191455841, 'redshifts/outlier_fraction_cata_bin_4': 0.051169589161872864, 'redshifts/outlier_fraction_cata_bin_5': 0.016351118683815002}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 640/1563 [58:08<1:31:13, 5.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40778.])\n", + "total num of pts: tensor([14899., 9935., 4117., 2314., 1370., 8143.])\n", + "{'redshifts/bias_abs': 0.07575347274541855, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09061809629201889, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041365642100572586, 'redshifts/bias_abs_bin_5': 0.023439079523086548, 'redshifts/bias': 0.004303706344217062, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': -0.00026920437812805176, 'redshifts/mse': 0.31291431188583374, 'redshifts/mse_bin_0': 0.44066962599754333, 'redshifts/mse_bin_1': 0.3682388961315155, 'redshifts/mse_bin_2': 0.28231725096702576, 'redshifts/mse_bin_3': 0.21341663599014282, 'redshifts/mse_bin_4': 0.21003052592277527, 'redshifts/mse_bin_5': 0.07272014766931534, 'redshifts/nmad': 0.1121416836977005, 'redshifts/nmad_bin_0': 0.21403278410434723, 'redshifts/nmad_bin_1': 0.1338677704334259, 'redshifts/nmad_bin_2': 0.08814716339111328, 'redshifts/nmad_bin_3': 0.06873486936092377, 'redshifts/nmad_bin_4': 0.06137715280056, 'redshifts/nmad_bin_5': 0.034795720130205154, 'redshifts/outlier_fraction': 0.3271126449108124, 'redshifts/outlier_fraction_bin_0': 0.48902609944343567, 'redshifts/outlier_fraction_bin_1': 0.3557121157646179, 'redshifts/outlier_fraction_bin_2': 0.26159825921058655, 'redshifts/outlier_fraction_bin_3': 0.19187554717063904, 'redshifts/outlier_fraction_bin_4': 0.18759123980998993, 'redshifts/outlier_fraction_bin_5': 0.09099840372800827, 'redshifts/outlier_fraction_cata': 0.08911667764186859, 'redshifts/outlier_fraction_cata_bin_0': 0.13269346952438354, 'redshifts/outlier_fraction_cata_bin_1': 0.10045294463634491, 'redshifts/outlier_fraction_cata_bin_2': 0.07845518738031387, 'redshifts/outlier_fraction_cata_bin_3': 0.0574762299656868, 'redshifts/outlier_fraction_cata_bin_4': 0.051094889640808105, 'redshifts/outlier_fraction_cata_bin_5': 0.016333047300577164}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 641/1563 [58:15<1:33:57, 6.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40849.])\n", + "total num of pts: tensor([14927., 9953., 4123., 2321., 1371., 8154.])\n", + "{'redshifts/bias_abs': 0.0757695883512497, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09061809629201889, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02345028519630432, 'redshifts/bias': 0.004314229357987642, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': -0.0002571344084572047, 'redshifts/mse': 0.3131363093852997, 'redshifts/mse_bin_0': 0.440766841173172, 'redshifts/mse_bin_1': 0.3682064712047577, 'redshifts/mse_bin_2': 0.2844699025154114, 'redshifts/mse_bin_3': 0.21295484900474548, 'redshifts/mse_bin_4': 0.20989327132701874, 'redshifts/mse_bin_5': 0.07264374941587448, 'redshifts/nmad': 0.11215728521347046, 'redshifts/nmad_bin_0': 0.2140303999185562, 'redshifts/nmad_bin_1': 0.13382446765899658, 'redshifts/nmad_bin_2': 0.0879550501704216, 'redshifts/nmad_bin_3': 0.06884836405515671, 'redshifts/nmad_bin_4': 0.06139051541686058, 'redshifts/nmad_bin_5': 0.034796081483364105, 'redshifts/outlier_fraction': 0.32715609669685364, 'redshifts/outlier_fraction_bin_0': 0.48904669284820557, 'redshifts/outlier_fraction_bin_1': 0.35577213764190674, 'redshifts/outlier_fraction_bin_2': 0.2614600956439972, 'redshifts/outlier_fraction_bin_3': 0.1925894021987915, 'redshifts/outlier_fraction_bin_4': 0.18745441734790802, 'redshifts/outlier_fraction_bin_5': 0.09087564051151276, 'redshifts/outlier_fraction_cata': 0.0891086682677269, 'redshifts/outlier_fraction_cata_bin_0': 0.13264554738998413, 'redshifts/outlier_fraction_cata_bin_1': 0.10047221928834915, 'redshifts/outlier_fraction_cata_bin_2': 0.07858355343341827, 'redshifts/outlier_fraction_cata_bin_3': 0.05730288848280907, 'redshifts/outlier_fraction_cata_bin_4': 0.05105762183666229, 'redshifts/outlier_fraction_cata_bin_5': 0.01631101220846176}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 642/1563 [58:20<1:27:46, 5.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40911.])\n", + "total num of pts: tensor([14947., 9970., 4130., 2327., 1374., 8163.])\n", + "{'redshifts/bias_abs': 0.07579629868268967, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02345028519630432, 'redshifts/bias': 0.004303706344217062, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': -0.0002571344084572047, 'redshifts/mse': 0.3132498264312744, 'redshifts/mse_bin_0': 0.4407888948917389, 'redshifts/mse_bin_1': 0.36827215552330017, 'redshifts/mse_bin_2': 0.2852787971496582, 'redshifts/mse_bin_3': 0.21345128118991852, 'redshifts/mse_bin_4': 0.20954357087612152, 'redshifts/mse_bin_5': 0.07257390767335892, 'redshifts/nmad': 0.11223173886537552, 'redshifts/nmad_bin_0': 0.21408231556415558, 'redshifts/nmad_bin_1': 0.13391806185245514, 'redshifts/nmad_bin_2': 0.08800812065601349, 'redshifts/nmad_bin_3': 0.06895016133785248, 'redshifts/nmad_bin_4': 0.06139051541686058, 'redshifts/nmad_bin_5': 0.034796081483364105, 'redshifts/outlier_fraction': 0.32729583978652954, 'redshifts/outlier_fraction_bin_0': 0.4891282618045807, 'redshifts/outlier_fraction_bin_1': 0.3560681939125061, 'redshifts/outlier_fraction_bin_2': 0.2612590789794922, 'redshifts/outlier_fraction_bin_3': 0.19338203966617584, 'redshifts/outlier_fraction_bin_4': 0.1877729296684265, 'redshifts/outlier_fraction_bin_5': 0.09089795500040054, 'redshifts/outlier_fraction_cata': 0.08916917443275452, 'redshifts/outlier_fraction_cata_bin_0': 0.13266876339912415, 'redshifts/outlier_fraction_cata_bin_1': 0.10060180723667145, 'redshifts/outlier_fraction_cata_bin_2': 0.0786924958229065, 'redshifts/outlier_fraction_cata_bin_3': 0.05758487433195114, 'redshifts/outlier_fraction_cata_bin_4': 0.05094614252448082, 'redshifts/outlier_fraction_cata_bin_5': 0.016293030232191086}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 643/1563 [58:26<1:30:35, 5.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([40967.])\n", + "total num of pts: tensor([14969., 9986., 4135., 2331., 1378., 8168.])\n", + "{'redshifts/bias_abs': 0.07578330487012863, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023437703028321266, 'redshifts/bias': 0.004277696833014488, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': -0.00026920437812805176, 'redshifts/mse': 0.3131384253501892, 'redshifts/mse_bin_0': 0.44042474031448364, 'redshifts/mse_bin_1': 0.3682153820991516, 'redshifts/mse_bin_2': 0.28574320673942566, 'redshifts/mse_bin_3': 0.21309322118759155, 'redshifts/mse_bin_4': 0.20895977318286896, 'redshifts/mse_bin_5': 0.07253042608499527, 'redshifts/nmad': 0.11219526827335358, 'redshifts/nmad_bin_0': 0.21398422122001648, 'redshifts/nmad_bin_1': 0.13402821123600006, 'redshifts/nmad_bin_2': 0.08802536129951477, 'redshifts/nmad_bin_3': 0.0687868595123291, 'redshifts/nmad_bin_4': 0.06139051541686058, 'redshifts/nmad_bin_5': 0.034795425832271576, 'redshifts/outlier_fraction': 0.32726341485977173, 'redshifts/outlier_fraction_bin_0': 0.48894381523132324, 'redshifts/outlier_fraction_bin_1': 0.35619866847991943, 'redshifts/outlier_fraction_bin_2': 0.2614268362522125, 'redshifts/outlier_fraction_bin_3': 0.19305019080638885, 'redshifts/outlier_fraction_bin_4': 0.18722786009311676, 'redshifts/outlier_fraction_bin_5': 0.09084231406450272, 'redshifts/outlier_fraction_cata': 0.08916933089494705, 'redshifts/outlier_fraction_cata_bin_0': 0.1326073855161667, 'redshifts/outlier_fraction_cata_bin_1': 0.10064090043306351, 'redshifts/outlier_fraction_cata_bin_2': 0.07883917540311813, 'redshifts/outlier_fraction_cata_bin_3': 0.05748605728149414, 'redshifts/outlier_fraction_cata_bin_4': 0.05079825967550278, 'redshifts/outlier_fraction_cata_bin_5': 0.016283055767416954}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████ | 644/1563 [58:32<1:29:22, 5.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41042.])\n", + "total num of pts: tensor([14997., 10008., 4142., 2335., 1379., 8181.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02345028519630432, 'redshifts/bias': 0.004263460636138916, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': -0.00020319223403930664, 'redshifts/mse': 0.3129119873046875, 'redshifts/mse_bin_0': 0.44007357954978943, 'redshifts/mse_bin_1': 0.36758506298065186, 'redshifts/mse_bin_2': 0.28546425700187683, 'redshifts/mse_bin_3': 0.21274453401565552, 'redshifts/mse_bin_4': 0.20898592472076416, 'redshifts/mse_bin_5': 0.072929248213768, 'redshifts/nmad': 0.11227896809577942, 'redshifts/nmad_bin_0': 0.2140534520149231, 'redshifts/nmad_bin_1': 0.13395266234874725, 'redshifts/nmad_bin_2': 0.08781599998474121, 'redshifts/nmad_bin_3': 0.06884836405515671, 'redshifts/nmad_bin_4': 0.06149530038237572, 'redshifts/nmad_bin_5': 0.03475729748606682, 'redshifts/outlier_fraction': 0.3272501230239868, 'redshifts/outlier_fraction_bin_0': 0.4889644682407379, 'redshifts/outlier_fraction_bin_1': 0.3558153510093689, 'redshifts/outlier_fraction_bin_2': 0.26146790385246277, 'redshifts/outlier_fraction_bin_3': 0.1927194893360138, 'redshifts/outlier_fraction_bin_4': 0.1878172606229782, 'redshifts/outlier_fraction_bin_5': 0.09106466174125671, 'redshifts/outlier_fraction_cata': 0.08907947689294815, 'redshifts/outlier_fraction_cata_bin_0': 0.13249316811561584, 'redshifts/outlier_fraction_cata_bin_1': 0.10041966289281845, 'redshifts/outlier_fraction_cata_bin_2': 0.07870593667030334, 'redshifts/outlier_fraction_cata_bin_3': 0.0573875792324543, 'redshifts/outlier_fraction_cata_bin_4': 0.05076142027974129, 'redshifts/outlier_fraction_cata_bin_5': 0.01637941598892212}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████▏ | 645/1563 [58:37<1:24:32, 5.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41117.])\n", + "total num of pts: tensor([15026., 10023., 4150., 2343., 1380., 8195.])\n", + "{'redshifts/bias_abs': 0.07579629868268967, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004273614846169949, 'redshifts/bias_bin_0': 0.029130849987268448, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': -0.00019537874322850257, 'redshifts/mse': 0.3129451274871826, 'redshifts/mse_bin_0': 0.44023334980010986, 'redshifts/mse_bin_1': 0.3674062490463257, 'redshifts/mse_bin_2': 0.28510186076164246, 'redshifts/mse_bin_3': 0.21368275582790375, 'redshifts/mse_bin_4': 0.20883595943450928, 'redshifts/mse_bin_5': 0.0729595199227333, 'redshifts/nmad': 0.1122940257191658, 'redshifts/nmad_bin_0': 0.21416707336902618, 'redshifts/nmad_bin_1': 0.13390392065048218, 'redshifts/nmad_bin_2': 0.08796931058168411, 'redshifts/nmad_bin_3': 0.06865473836660385, 'redshifts/nmad_bin_4': 0.06139051541686058, 'redshifts/nmad_bin_5': 0.03487463295459747, 'redshifts/outlier_fraction': 0.32730987668037415, 'redshifts/outlier_fraction_bin_0': 0.48915213346481323, 'redshifts/outlier_fraction_bin_1': 0.3555821478366852, 'redshifts/outlier_fraction_bin_2': 0.2616867423057556, 'redshifts/outlier_fraction_bin_3': 0.19291506707668304, 'redshifts/outlier_fraction_bin_4': 0.1876811534166336, 'redshifts/outlier_fraction_bin_5': 0.09115314483642578, 'redshifts/outlier_fraction_cata': 0.08908724039793015, 'redshifts/outlier_fraction_cata_bin_0': 0.13257020711898804, 'redshifts/outlier_fraction_cata_bin_1': 0.10036914795637131, 'redshifts/outlier_fraction_cata_bin_2': 0.07855422049760818, 'redshifts/outlier_fraction_cata_bin_3': 0.05761843919754028, 'redshifts/outlier_fraction_cata_bin_4': 0.050724636763334274, 'redshifts/outlier_fraction_cata_bin_5': 0.016351433470845222}\n", + "total num of pts: tensor([41170.])\n", + "total num of pts: tensor([15045., 10039., 4154., 2346., 1382., 8204.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████▏ | 646/1563 [58:44<1:31:35, 5.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07580774277448654, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09061809629201889, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004277696833014488, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': -0.00020211173978168517, 'redshifts/mse': 0.31317228078842163, 'redshifts/mse_bin_0': 0.4404546320438385, 'redshifts/mse_bin_1': 0.3675703704357147, 'redshifts/mse_bin_2': 0.2853480577468872, 'redshifts/mse_bin_3': 0.21351584792137146, 'redshifts/mse_bin_4': 0.20857790112495422, 'redshifts/mse_bin_5': 0.07339676469564438, 'redshifts/nmad': 0.11230773478746414, 'redshifts/nmad_bin_0': 0.2141873836517334, 'redshifts/nmad_bin_1': 0.13386797904968262, 'redshifts/nmad_bin_2': 0.08800812065601349, 'redshifts/nmad_bin_3': 0.06848834455013275, 'redshifts/nmad_bin_4': 0.061446625739336014, 'redshifts/nmad_bin_5': 0.03489840403199196, 'redshifts/outlier_fraction': 0.32735002040863037, 'redshifts/outlier_fraction_bin_0': 0.4892655313014984, 'redshifts/outlier_fraction_bin_1': 0.35551348328590393, 'redshifts/outlier_fraction_bin_2': 0.26167550683021545, 'redshifts/outlier_fraction_bin_3': 0.1930946260690689, 'redshifts/outlier_fraction_bin_4': 0.18740954995155334, 'redshifts/outlier_fraction_bin_5': 0.09117503464221954, 'redshifts/outlier_fraction_cata': 0.08911828696727753, 'redshifts/outlier_fraction_cata_bin_0': 0.13253572583198547, 'redshifts/outlier_fraction_cata_bin_1': 0.1004084050655365, 'redshifts/outlier_fraction_cata_bin_2': 0.07871930301189423, 'redshifts/outlier_fraction_cata_bin_3': 0.057544756680727005, 'redshifts/outlier_fraction_cata_bin_4': 0.05065122991800308, 'redshifts/outlier_fraction_cata_bin_5': 0.016455387696623802}\n", + "total num of pts: tensor([41237.])\n", + "total num of pts: tensor([15072., 10052., 4162., 2350., 1383., 8218.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████▏ | 647/1563 [58:49<1:27:29, 5.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07580774277448654, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004260141868144274, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.00020211173978168517, 'redshifts/mse': 0.3131408393383026, 'redshifts/mse_bin_0': 0.4403820335865021, 'redshifts/mse_bin_1': 0.36735400557518005, 'redshifts/mse_bin_2': 0.28591156005859375, 'redshifts/mse_bin_3': 0.2133903205394745, 'redshifts/mse_bin_4': 0.20850050449371338, 'redshifts/mse_bin_5': 0.07339304685592651, 'redshifts/nmad': 0.11232385039329529, 'redshifts/nmad_bin_0': 0.21412616968154907, 'redshifts/nmad_bin_1': 0.13381427526474, 'redshifts/nmad_bin_2': 0.08796931058168411, 'redshifts/nmad_bin_3': 0.06870722025632858, 'redshifts/nmad_bin_4': 0.06149452179670334, 'redshifts/nmad_bin_5': 0.034864652901887894, 'redshifts/outlier_fraction': 0.32742440700531006, 'redshifts/outlier_fraction_bin_0': 0.4893842935562134, 'redshifts/outlier_fraction_bin_1': 0.3555511236190796, 'redshifts/outlier_fraction_bin_2': 0.2616530656814575, 'redshifts/outlier_fraction_bin_3': 0.19319148361682892, 'redshifts/outlier_fraction_bin_4': 0.1872740387916565, 'redshifts/outlier_fraction_bin_5': 0.09126307815313339, 'redshifts/outlier_fraction_cata': 0.08907049149274826, 'redshifts/outlier_fraction_cata_bin_0': 0.1324310004711151, 'redshifts/outlier_fraction_cata_bin_1': 0.10037803649902344, 'redshifts/outlier_fraction_cata_bin_2': 0.0788082629442215, 'redshifts/outlier_fraction_cata_bin_3': 0.057446807622909546, 'redshifts/outlier_fraction_cata_bin_4': 0.0506146065890789, 'redshifts/outlier_fraction_cata_bin_5': 0.016427354887127876}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 41%|████▏ | 648/1563 [58:56<1:33:24, 6.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41308.])\n", + "total num of pts: tensor([15095., 10069., 4169., 2352., 1384., 8239.])\n", + "{'redshifts/bias_abs': 0.07580768316984177, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09061809629201889, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004284476395696402, 'redshifts/bias_bin_0': 0.02909020334482193, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.0001936172047862783, 'redshifts/mse': 0.3131673038005829, 'redshifts/mse_bin_0': 0.44082462787628174, 'redshifts/mse_bin_1': 0.3672622740268707, 'redshifts/mse_bin_2': 0.2854808568954468, 'redshifts/mse_bin_3': 0.21320953965187073, 'redshifts/mse_bin_4': 0.2084239274263382, 'redshifts/mse_bin_5': 0.07331304997205734, 'redshifts/nmad': 0.11231013387441635, 'redshifts/nmad_bin_0': 0.214215487241745, 'redshifts/nmad_bin_1': 0.13361161947250366, 'redshifts/nmad_bin_2': 0.08793780207633972, 'redshifts/nmad_bin_3': 0.06847598403692245, 'redshifts/nmad_bin_4': 0.06149452179670334, 'redshifts/nmad_bin_5': 0.03494145721197128, 'redshifts/outlier_fraction': 0.32741841673851013, 'redshifts/outlier_fraction_bin_0': 0.4895660877227783, 'redshifts/outlier_fraction_bin_1': 0.3554474115371704, 'redshifts/outlier_fraction_bin_2': 0.2614535987377167, 'redshifts/outlier_fraction_bin_3': 0.19302721321582794, 'redshifts/outlier_fraction_bin_4': 0.18786127865314484, 'redshifts/outlier_fraction_bin_5': 0.09127321094274521, 'redshifts/outlier_fraction_cata': 0.0890626534819603, 'redshifts/outlier_fraction_cata_bin_0': 0.13249419629573822, 'redshifts/outlier_fraction_cata_bin_1': 0.1004071906208992, 'redshifts/outlier_fraction_cata_bin_2': 0.07867594063282013, 'redshifts/outlier_fraction_cata_bin_3': 0.057397957891225815, 'redshifts/outlier_fraction_cata_bin_4': 0.0505780354142189, 'redshifts/outlier_fraction_cata_bin_5': 0.016385484486818314}\n", + "total num of pts: tensor([41380.])\n", + "total num of pts: tensor([15122., 10080., 4178., 2358., 1391., 8251.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 649/1563 [59:01<1:30:37, 5.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07577252388000488, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004277696833014488, 'redshifts/bias_bin_0': 0.02909020334482193, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.00023858444183133543, 'redshifts/mse': 0.31307560205459595, 'redshifts/mse_bin_0': 0.44051608443260193, 'redshifts/mse_bin_1': 0.36761608719825745, 'redshifts/mse_bin_2': 0.28573212027549744, 'redshifts/mse_bin_3': 0.2127211093902588, 'redshifts/mse_bin_4': 0.20740260183811188, 'redshifts/mse_bin_5': 0.07322177290916443, 'redshifts/nmad': 0.11226390302181244, 'redshifts/nmad_bin_0': 0.21419808268547058, 'redshifts/nmad_bin_1': 0.13358627259731293, 'redshifts/nmad_bin_2': 0.08802536129951477, 'redshifts/nmad_bin_3': 0.06839477270841599, 'redshifts/nmad_bin_4': 0.06138548254966736, 'redshifts/nmad_bin_5': 0.03491828963160515, 'redshifts/outlier_fraction': 0.32738038897514343, 'redshifts/outlier_fraction_bin_0': 0.4894855320453644, 'redshifts/outlier_fraction_bin_1': 0.35555556416511536, 'redshifts/outlier_fraction_bin_2': 0.26184776425361633, 'redshifts/outlier_fraction_bin_3': 0.19253604114055634, 'redshifts/outlier_fraction_bin_4': 0.18691588938236237, 'redshifts/outlier_fraction_bin_5': 0.09126166254281998, 'redshifts/outlier_fraction_cata': 0.08902851492166519, 'redshifts/outlier_fraction_cata_bin_0': 0.1323898881673813, 'redshifts/outlier_fraction_cata_bin_1': 0.10049603134393692, 'redshifts/outlier_fraction_cata_bin_2': 0.07874581217765808, 'redshifts/outlier_fraction_cata_bin_3': 0.057251907885074615, 'redshifts/outlier_fraction_cata_bin_4': 0.05032350867986679, 'redshifts/outlier_fraction_cata_bin_5': 0.016361653804779053}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 650/1563 [59:07<1:28:29, 5.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41438.])\n", + "total num of pts: tensor([15142., 10093., 4184., 2361., 1392., 8266.])\n", + "{'redshifts/bias_abs': 0.07575347274541855, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.0042977421544492245, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.00023858444183133543, 'redshifts/mse': 0.3129492998123169, 'redshifts/mse_bin_0': 0.44043299555778503, 'redshifts/mse_bin_1': 0.3675778806209564, 'redshifts/mse_bin_2': 0.28542307019233704, 'redshifts/mse_bin_3': 0.21258991956710815, 'redshifts/mse_bin_4': 0.2072666585445404, 'redshifts/mse_bin_5': 0.07311428338289261, 'redshifts/nmad': 0.11220979690551758, 'redshifts/nmad_bin_0': 0.21394900977611542, 'redshifts/nmad_bin_1': 0.13390882313251495, 'redshifts/nmad_bin_2': 0.0879550501704216, 'redshifts/nmad_bin_3': 0.06858136504888535, 'redshifts/nmad_bin_4': 0.06138548254966736, 'redshifts/nmad_bin_5': 0.034844327718019485, 'redshifts/outlier_fraction': 0.32726001739501953, 'redshifts/outlier_fraction_bin_0': 0.4892352521419525, 'redshifts/outlier_fraction_bin_1': 0.3555929958820343, 'redshifts/outlier_fraction_bin_2': 0.2617112696170807, 'redshifts/outlier_fraction_bin_3': 0.19271494448184967, 'redshifts/outlier_fraction_bin_4': 0.1867816150188446, 'redshifts/outlier_fraction_bin_5': 0.0912170335650444, 'redshifts/outlier_fraction_cata': 0.08900043368339539, 'redshifts/outlier_fraction_cata_bin_0': 0.13234710693359375, 'redshifts/outlier_fraction_cata_bin_1': 0.10056474804878235, 'redshifts/outlier_fraction_cata_bin_2': 0.0786328837275505, 'redshifts/outlier_fraction_cata_bin_3': 0.05717916041612625, 'redshifts/outlier_fraction_cata_bin_4': 0.05028735473752022, 'redshifts/outlier_fraction_cata_bin_5': 0.016331961378455162}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 651/1563 [59:13<1:27:52, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41509.])\n", + "total num of pts: tensor([15165., 10107., 4194., 2363., 1392., 8288.])\n", + "{'redshifts/bias_abs': 0.07575347274541855, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004284476395696402, 'redshifts/bias_bin_0': 0.02909020334482193, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.00017639994621276855, 'redshifts/mse': 0.3130910098552704, 'redshifts/mse_bin_0': 0.4404850900173187, 'redshifts/mse_bin_1': 0.36777400970458984, 'redshifts/mse_bin_2': 0.2862788736820221, 'redshifts/mse_bin_3': 0.2126569002866745, 'redshifts/mse_bin_4': 0.2072666585445404, 'redshifts/mse_bin_5': 0.073285311460495, 'redshifts/nmad': 0.1121901348233223, 'redshifts/nmad_bin_0': 0.21398068964481354, 'redshifts/nmad_bin_1': 0.1339336782693863, 'redshifts/nmad_bin_2': 0.08781599998474121, 'redshifts/nmad_bin_3': 0.06865473836660385, 'redshifts/nmad_bin_4': 0.06138548254966736, 'redshifts/nmad_bin_5': 0.03492724895477295, 'redshifts/outlier_fraction': 0.3273025155067444, 'redshifts/outlier_fraction_bin_0': 0.4892185926437378, 'redshifts/outlier_fraction_bin_1': 0.3557930290699005, 'redshifts/outlier_fraction_bin_2': 0.2618025839328766, 'redshifts/outlier_fraction_bin_3': 0.1929750293493271, 'redshifts/outlier_fraction_bin_4': 0.1867816150188446, 'redshifts/outlier_fraction_bin_5': 0.09133687615394592, 'redshifts/outlier_fraction_cata': 0.08906502276659012, 'redshifts/outlier_fraction_cata_bin_0': 0.13241015374660492, 'redshifts/outlier_fraction_cata_bin_1': 0.10072226822376251, 'redshifts/outlier_fraction_cata_bin_2': 0.07868383079767227, 'redshifts/outlier_fraction_cata_bin_3': 0.05713076516985893, 'redshifts/outlier_fraction_cata_bin_4': 0.05028735473752022, 'redshifts/outlier_fraction_cata_bin_5': 0.016409266740083694}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 652/1563 [59:21<1:41:24, 6.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41587.])\n", + "total num of pts: tensor([15185., 10131., 4207., 2369., 1393., 8302.])\n", + "{'redshifts/bias_abs': 0.07575347274541855, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004320843145251274, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00017639994621276855, 'redshifts/mse': 0.31297311186790466, 'redshifts/mse_bin_0': 0.44052982330322266, 'redshifts/mse_bin_1': 0.3674546182155609, 'redshifts/mse_bin_2': 0.2863788306713104, 'redshifts/mse_bin_3': 0.21218031644821167, 'redshifts/mse_bin_4': 0.20712196826934814, 'redshifts/mse_bin_5': 0.07317913323640823, 'redshifts/nmad': 0.11222665756940842, 'redshifts/nmad_bin_0': 0.21390755474567413, 'redshifts/nmad_bin_1': 0.13389907777309418, 'redshifts/nmad_bin_2': 0.08802536129951477, 'redshifts/nmad_bin_3': 0.06875390559434891, 'redshifts/nmad_bin_4': 0.061246003955602646, 'redshifts/nmad_bin_5': 0.034917961806058884, 'redshifts/outlier_fraction': 0.3272416889667511, 'redshifts/outlier_fraction_bin_0': 0.48929864168167114, 'redshifts/outlier_fraction_bin_1': 0.35564109683036804, 'redshifts/outlier_fraction_bin_2': 0.26194438338279724, 'redshifts/outlier_fraction_bin_3': 0.19248628616333008, 'redshifts/outlier_fraction_bin_4': 0.18664751946926117, 'redshifts/outlier_fraction_bin_5': 0.09130330383777618, 'redshifts/outlier_fraction_cata': 0.0889701098203659, 'redshifts/outlier_fraction_cata_bin_0': 0.13230161368846893, 'redshifts/outlier_fraction_cata_bin_1': 0.10058236867189407, 'redshifts/outlier_fraction_cata_bin_2': 0.07867839187383652, 'redshifts/outlier_fraction_cata_bin_3': 0.05698607116937637, 'redshifts/outlier_fraction_cata_bin_4': 0.05025125667452812, 'redshifts/outlier_fraction_cata_bin_5': 0.01638159528374672}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 653/1563 [59:27<1:34:31, 6.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41648.])\n", + "total num of pts: tensor([15208., 10140., 4219., 2372., 1395., 8314.])\n", + "{'redshifts/bias_abs': 0.0757695883512497, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004318541381508112, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00013270974159240723, 'redshifts/mse': 0.3129453957080841, 'redshifts/mse_bin_0': 0.4404984712600708, 'redshifts/mse_bin_1': 0.36776819825172424, 'redshifts/mse_bin_2': 0.28572481870651245, 'redshifts/mse_bin_3': 0.21227693557739258, 'redshifts/mse_bin_4': 0.20682965219020844, 'redshifts/mse_bin_5': 0.07310318946838379, 'redshifts/nmad': 0.11223726719617844, 'redshifts/nmad_bin_0': 0.21405214071273804, 'redshifts/nmad_bin_1': 0.13390392065048218, 'redshifts/nmad_bin_2': 0.08793780207633972, 'redshifts/nmad_bin_3': 0.06875390559434891, 'redshifts/nmad_bin_4': 0.061246003955602646, 'redshifts/nmad_bin_5': 0.03485318645834923, 'redshifts/outlier_fraction': 0.32733863592147827, 'redshifts/outlier_fraction_bin_0': 0.4894792139530182, 'redshifts/outlier_fraction_bin_1': 0.3557199239730835, 'redshifts/outlier_fraction_bin_2': 0.2616733908653259, 'redshifts/outlier_fraction_bin_3': 0.19308599829673767, 'redshifts/outlier_fraction_bin_4': 0.18637992441654205, 'redshifts/outlier_fraction_bin_5': 0.09141207486391068, 'redshifts/outlier_fraction_cata': 0.08895985037088394, 'redshifts/outlier_fraction_cata_bin_0': 0.1322987973690033, 'redshifts/outlier_fraction_cata_bin_1': 0.1006903350353241, 'redshifts/outlier_fraction_cata_bin_2': 0.07845461368560791, 'redshifts/outlier_fraction_cata_bin_3': 0.05691399797797203, 'redshifts/outlier_fraction_cata_bin_4': 0.05017921328544617, 'redshifts/outlier_fraction_cata_bin_5': 0.01635795086622238}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 654/1563 [59:33<1:33:21, 6.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41719.])\n", + "total num of pts: tensor([15238., 10151., 4228., 2379., 1397., 8326.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.0043115755543112755, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00013748496712651104, 'redshifts/mse': 0.3128824532032013, 'redshifts/mse_bin_0': 0.44060462713241577, 'redshifts/mse_bin_1': 0.36764469742774963, 'redshifts/mse_bin_2': 0.28547486662864685, 'redshifts/mse_bin_3': 0.21170401573181152, 'redshifts/mse_bin_4': 0.20654937624931335, 'redshifts/mse_bin_5': 0.07303482294082642, 'redshifts/nmad': 0.11229139566421509, 'redshifts/nmad_bin_0': 0.21409349143505096, 'redshifts/nmad_bin_1': 0.13397717475891113, 'redshifts/nmad_bin_2': 0.08800812065601349, 'redshifts/nmad_bin_3': 0.06866952031850815, 'redshifts/nmad_bin_4': 0.061246003955602646, 'redshifts/nmad_bin_5': 0.034860264509916306, 'redshifts/outlier_fraction': 0.32735684514045715, 'redshifts/outlier_fraction_bin_0': 0.48956555128097534, 'redshifts/outlier_fraction_bin_1': 0.3558270037174225, 'redshifts/outlier_fraction_bin_2': 0.26135289669036865, 'redshifts/outlier_fraction_bin_3': 0.19251786172389984, 'redshifts/outlier_fraction_bin_4': 0.18611310422420502, 'redshifts/outlier_fraction_bin_5': 0.09152054041624069, 'redshifts/outlier_fraction_cata': 0.08895227313041687, 'redshifts/outlier_fraction_cata_bin_0': 0.13236644864082336, 'redshifts/outlier_fraction_cata_bin_1': 0.10058122128248215, 'redshifts/outlier_fraction_cata_bin_2': 0.07852412760257721, 'redshifts/outlier_fraction_cata_bin_3': 0.056746531277894974, 'redshifts/outlier_fraction_cata_bin_4': 0.05010737478733063, 'redshifts/outlier_fraction_cata_bin_5': 0.016334373503923416}\n", + "total num of pts: tensor([41780.])\n", + "total num of pts: tensor([15258., 10167., 4235., 2388., 1400., 8332.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 655/1563 [59:37<1:27:29, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07581054419279099, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02347421832382679, 'redshifts/bias': 0.004281789064407349, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00013748496712651104, 'redshifts/mse': 0.31328293681144714, 'redshifts/mse_bin_0': 0.44074952602386475, 'redshifts/mse_bin_1': 0.3686710596084595, 'redshifts/mse_bin_2': 0.2859051525592804, 'redshifts/mse_bin_3': 0.21117942035198212, 'redshifts/mse_bin_4': 0.20634733140468597, 'redshifts/mse_bin_5': 0.07342253625392914, 'redshifts/nmad': 0.11233555525541306, 'redshifts/nmad_bin_0': 0.21409349143505096, 'redshifts/nmad_bin_1': 0.13411137461662292, 'redshifts/nmad_bin_2': 0.08800812065601349, 'redshifts/nmad_bin_3': 0.06839633733034134, 'redshifts/nmad_bin_4': 0.061246003955602646, 'redshifts/nmad_bin_5': 0.034860264509916306, 'redshifts/outlier_fraction': 0.3274293839931488, 'redshifts/outlier_fraction_bin_0': 0.4895792305469513, 'redshifts/outlier_fraction_bin_1': 0.35605388879776, 'redshifts/outlier_fraction_bin_2': 0.26139315962791443, 'redshifts/outlier_fraction_bin_3': 0.1922110617160797, 'redshifts/outlier_fraction_bin_4': 0.18642857670783997, 'redshifts/outlier_fraction_bin_5': 0.09157465398311615, 'redshifts/outlier_fraction_cata': 0.08906175196170807, 'redshifts/outlier_fraction_cata_bin_0': 0.13238956034183502, 'redshifts/outlier_fraction_cata_bin_1': 0.10091472417116165, 'redshifts/outlier_fraction_cata_bin_2': 0.0786304622888565, 'redshifts/outlier_fraction_cata_bin_3': 0.056532662361860275, 'redshifts/outlier_fraction_cata_bin_4': 0.05000000074505806, 'redshifts/outlier_fraction_cata_bin_5': 0.01644263043999672}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 656/1563 [59:45<1:34:52, 6.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41851.])\n", + "total num of pts: tensor([15286., 10184., 4240., 2395., 1405., 8341.])\n", + "{'redshifts/bias_abs': 0.07579629868268967, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004281789064407349, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': -0.00013270974159240723, 'redshifts/mse': 0.3132534325122833, 'redshifts/mse_bin_0': 0.44070330262184143, 'redshifts/mse_bin_1': 0.3683600127696991, 'redshifts/mse_bin_2': 0.2867765426635742, 'redshifts/mse_bin_3': 0.21065418422222137, 'redshifts/mse_bin_4': 0.2061251550912857, 'redshifts/mse_bin_5': 0.07336848974227905, 'redshifts/nmad': 0.11231379956007004, 'redshifts/nmad_bin_0': 0.2138933390378952, 'redshifts/nmad_bin_1': 0.13399305939674377, 'redshifts/nmad_bin_2': 0.0879550501704216, 'redshifts/nmad_bin_3': 0.06858136504888535, 'redshifts/nmad_bin_4': 0.061540164053440094, 'redshifts/nmad_bin_5': 0.03482329845428467, 'redshifts/outlier_fraction': 0.3273279070854187, 'redshifts/outlier_fraction_bin_0': 0.48946747183799744, 'redshifts/outlier_fraction_bin_1': 0.35575413703918457, 'redshifts/outlier_fraction_bin_2': 0.26132073998451233, 'redshifts/outlier_fraction_bin_3': 0.19206680357456207, 'redshifts/outlier_fraction_bin_4': 0.18647687137126923, 'redshifts/outlier_fraction_bin_5': 0.09159573167562485, 'redshifts/outlier_fraction_cata': 0.0890779197216034, 'redshifts/outlier_fraction_cata_bin_0': 0.1324087381362915, 'redshifts/outlier_fraction_cata_bin_1': 0.10094265639781952, 'redshifts/outlier_fraction_cata_bin_2': 0.07877358794212341, 'redshifts/outlier_fraction_cata_bin_3': 0.056367430835962296, 'redshifts/outlier_fraction_cata_bin_4': 0.049822062253952026, 'redshifts/outlier_fraction_cata_bin_5': 0.016424888744950294}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 657/1563 [59:51<1:33:39, 6.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([41920.])\n", + "total num of pts: tensor([15314., 10196., 4246., 2400., 1405., 8359.])\n", + "{'redshifts/bias_abs': 0.07578330487012863, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004281789064407349, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': -0.00013270974159240723, 'redshifts/mse': 0.3130871057510376, 'redshifts/mse_bin_0': 0.4406542181968689, 'redshifts/mse_bin_1': 0.3681607246398926, 'redshifts/mse_bin_2': 0.28649529814720154, 'redshifts/mse_bin_3': 0.21022950112819672, 'redshifts/mse_bin_4': 0.2061251550912857, 'redshifts/mse_bin_5': 0.07322296500205994, 'redshifts/nmad': 0.11228455603122711, 'redshifts/nmad_bin_0': 0.21409349143505096, 'redshifts/nmad_bin_1': 0.13397644460201263, 'redshifts/nmad_bin_2': 0.08770446479320526, 'redshifts/nmad_bin_3': 0.06866952031850815, 'redshifts/nmad_bin_4': 0.061540164053440094, 'redshifts/nmad_bin_5': 0.03482329845428467, 'redshifts/outlier_fraction': 0.32733777165412903, 'redshifts/outlier_fraction_bin_0': 0.4896826446056366, 'redshifts/outlier_fraction_bin_1': 0.3557277321815491, 'redshifts/outlier_fraction_bin_2': 0.26118698716163635, 'redshifts/outlier_fraction_bin_3': 0.19166666269302368, 'redshifts/outlier_fraction_bin_4': 0.18647687137126923, 'redshifts/outlier_fraction_bin_5': 0.09151812642812729, 'redshifts/outlier_fraction_cata': 0.08902671933174133, 'redshifts/outlier_fraction_cata_bin_0': 0.13236254453659058, 'redshifts/outlier_fraction_cata_bin_1': 0.10092192888259888, 'redshifts/outlier_fraction_cata_bin_2': 0.07866226881742477, 'redshifts/outlier_fraction_cata_bin_3': 0.05624999850988388, 'redshifts/outlier_fraction_cata_bin_4': 0.049822062253952026, 'redshifts/outlier_fraction_cata_bin_5': 0.016389520838856697}\n", + "total num of pts: tensor([42000.])\n", + "total num of pts: tensor([15336., 10215., 4264., 2405., 1406., 8374.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 658/1563 [1:00:02<1:54:59, 7.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07577847689390182, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.00432074349373579, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00013270974159240723, 'redshifts/mse': 0.3128645122051239, 'redshifts/mse_bin_0': 0.44039276242256165, 'redshifts/mse_bin_1': 0.36799541115760803, 'redshifts/mse_bin_2': 0.2854663133621216, 'redshifts/mse_bin_3': 0.20985254645347595, 'redshifts/mse_bin_4': 0.20851895213127136, 'redshifts/mse_bin_5': 0.07311837375164032, 'redshifts/nmad': 0.11227738112211227, 'redshifts/nmad_bin_0': 0.2140696793794632, 'redshifts/nmad_bin_1': 0.13395948708057404, 'redshifts/nmad_bin_2': 0.087644062936306, 'redshifts/nmad_bin_3': 0.06841719895601273, 'redshifts/nmad_bin_4': 0.06151515990495682, 'redshifts/nmad_bin_5': 0.03485318645834923, 'redshifts/outlier_fraction': 0.3272380828857422, 'redshifts/outlier_fraction_bin_0': 0.4896974563598633, 'redshifts/outlier_fraction_bin_1': 0.3557513356208801, 'redshifts/outlier_fraction_bin_2': 0.2605534791946411, 'redshifts/outlier_fraction_bin_3': 0.191268190741539, 'redshifts/outlier_fraction_bin_4': 0.18705548346042633, 'redshifts/outlier_fraction_bin_5': 0.09147360920906067, 'redshifts/outlier_fraction_cata': 0.08895237743854523, 'redshifts/outlier_fraction_cata_bin_0': 0.13223786652088165, 'redshifts/outlier_fraction_cata_bin_1': 0.10093000531196594, 'redshifts/outlier_fraction_cata_bin_2': 0.07833020389080048, 'redshifts/outlier_fraction_cata_bin_3': 0.05613305792212486, 'redshifts/outlier_fraction_cata_bin_4': 0.050497867166996, 'redshifts/outlier_fraction_cata_bin_5': 0.01636016182601452}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 659/1563 [1:00:11<2:00:40, 8.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42057.])\n", + "total num of pts: tensor([15360., 10230., 4268., 2408., 1408., 8383.])\n", + "{'redshifts/bias_abs': 0.07577847689390182, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004323016852140427, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0030104087200015783, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00010455158917466179, 'redshifts/mse': 0.31288576126098633, 'redshifts/mse_bin_0': 0.44056904315948486, 'redshifts/mse_bin_1': 0.3676804006099701, 'redshifts/mse_bin_2': 0.2852981388568878, 'redshifts/mse_bin_3': 0.20959171652793884, 'redshifts/mse_bin_4': 0.2100328803062439, 'redshifts/mse_bin_5': 0.07306107878684998, 'redshifts/nmad': 0.1122603639960289, 'redshifts/nmad_bin_0': 0.2140303999185562, 'redshifts/nmad_bin_1': 0.1339576095342636, 'redshifts/nmad_bin_2': 0.08755115419626236, 'redshifts/nmad_bin_3': 0.068048395216465, 'redshifts/nmad_bin_4': 0.06151515990495682, 'redshifts/nmad_bin_5': 0.03482072800397873, 'redshifts/outlier_fraction': 0.32724636793136597, 'redshifts/outlier_fraction_bin_0': 0.4896484315395355, 'redshifts/outlier_fraction_bin_1': 0.3557184636592865, 'redshifts/outlier_fraction_bin_2': 0.2605435848236084, 'redshifts/outlier_fraction_bin_3': 0.19102990627288818, 'redshifts/outlier_fraction_bin_4': 0.1875, 'redshifts/outlier_fraction_bin_5': 0.09149469435214996, 'redshifts/outlier_fraction_cata': 0.0889744833111763, 'redshifts/outlier_fraction_cata_bin_0': 0.13235677778720856, 'redshifts/outlier_fraction_cata_bin_1': 0.10078201442956924, 'redshifts/outlier_fraction_cata_bin_2': 0.07825679332017899, 'redshifts/outlier_fraction_cata_bin_3': 0.05606312304735184, 'redshifts/outlier_fraction_cata_bin_4': 0.05113636329770088, 'redshifts/outlier_fraction_cata_bin_5': 0.01634259894490242}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 660/1563 [1:00:18<1:58:49, 7.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42138.])\n", + "total num of pts: tensor([15393., 10243., 4276., 2413., 1411., 8402.])\n", + "{'redshifts/bias_abs': 0.07580768316984177, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.023469580337405205, 'redshifts/bias': 0.004337481688708067, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': -9.252585732610896e-05, 'redshifts/mse': 0.3131725490093231, 'redshifts/mse_bin_0': 0.4415406286716461, 'redshifts/mse_bin_1': 0.36741769313812256, 'redshifts/mse_bin_2': 0.2849101126194, 'redshifts/mse_bin_3': 0.21116027235984802, 'redshifts/mse_bin_4': 0.20960575342178345, 'redshifts/mse_bin_5': 0.07293885946273804, 'redshifts/nmad': 0.112331822514534, 'redshifts/nmad_bin_0': 0.21426978707313538, 'redshifts/nmad_bin_1': 0.1339576095342636, 'redshifts/nmad_bin_2': 0.08767767250537872, 'redshifts/nmad_bin_3': 0.06840596348047256, 'redshifts/nmad_bin_4': 0.061540164053440094, 'redshifts/nmad_bin_5': 0.034848716109991074, 'redshifts/outlier_fraction': 0.32740044593811035, 'redshifts/outlier_fraction_bin_0': 0.49002793431282043, 'redshifts/outlier_fraction_bin_1': 0.35565751791000366, 'redshifts/outlier_fraction_bin_2': 0.260757714509964, 'redshifts/outlier_fraction_bin_3': 0.191462904214859, 'redshifts/outlier_fraction_bin_4': 0.187101349234581, 'redshifts/outlier_fraction_bin_5': 0.09152583032846451, 'redshifts/outlier_fraction_cata': 0.08901704102754593, 'redshifts/outlier_fraction_cata_bin_0': 0.13259273767471313, 'redshifts/outlier_fraction_cata_bin_1': 0.10065410286188126, 'redshifts/outlier_fraction_cata_bin_2': 0.07811038196086884, 'redshifts/outlier_fraction_cata_bin_3': 0.056361377239227295, 'redshifts/outlier_fraction_cata_bin_4': 0.05102764070034027, 'redshifts/outlier_fraction_cata_bin_5': 0.01630564220249653}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 661/1563 [1:00:23<1:43:45, 6.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42232.])\n", + "total num of pts: tensor([15425., 10266., 4287., 2418., 1416., 8420.])\n", + "{'redshifts/bias_abs': 0.07577847689390182, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004330319352447987, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01079730223864317, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': -0.00017639994621276855, 'redshifts/mse': 0.3130912482738495, 'redshifts/mse_bin_0': 0.4417089819908142, 'redshifts/mse_bin_1': 0.3671994209289551, 'redshifts/mse_bin_2': 0.28455257415771484, 'redshifts/mse_bin_3': 0.21072880923748016, 'redshifts/mse_bin_4': 0.20961713790893555, 'redshifts/mse_bin_5': 0.07282936573028564, 'redshifts/nmad': 0.11227118968963623, 'redshifts/nmad_bin_0': 0.2144363671541214, 'redshifts/nmad_bin_1': 0.1339208036661148, 'redshifts/nmad_bin_2': 0.08760526031255722, 'redshifts/nmad_bin_3': 0.06796212494373322, 'redshifts/nmad_bin_4': 0.061271000653505325, 'redshifts/nmad_bin_5': 0.03479776903986931, 'redshifts/outlier_fraction': 0.32738208770751953, 'redshifts/outlier_fraction_bin_0': 0.4902431070804596, 'redshifts/outlier_fraction_bin_1': 0.3556399643421173, 'redshifts/outlier_fraction_bin_2': 0.2603219151496887, 'redshifts/outlier_fraction_bin_3': 0.19106699526309967, 'redshifts/outlier_fraction_bin_4': 0.1871468871831894, 'redshifts/outlier_fraction_bin_5': 0.09144893288612366, 'redshifts/outlier_fraction_cata': 0.08903201669454575, 'redshifts/outlier_fraction_cata_bin_0': 0.13264182209968567, 'redshifts/outlier_fraction_cata_bin_1': 0.10062341392040253, 'redshifts/outlier_fraction_cata_bin_2': 0.07814322412014008, 'redshifts/outlier_fraction_cata_bin_3': 0.056244831532239914, 'redshifts/outlier_fraction_cata_bin_4': 0.051553674042224884, 'redshifts/outlier_fraction_cata_bin_5': 0.01627078466117382}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 662/1563 [1:00:29<1:41:14, 6.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42296.])\n", + "total num of pts: tensor([15447., 10285., 4294., 2418., 1420., 8432.])\n", + "{'redshifts/bias_abs': 0.07579629868268967, 'redshifts/bias_abs_bin_0': 0.14509372413158417, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02345731481909752, 'redshifts/bias': 0.004351495299488306, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.0029070000164210796, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.00018949672812595963, 'redshifts/mse': 0.3130653202533722, 'redshifts/mse_bin_0': 0.44176551699638367, 'redshifts/mse_bin_1': 0.36683765053749084, 'redshifts/mse_bin_2': 0.2846376895904541, 'redshifts/mse_bin_3': 0.21072880923748016, 'redshifts/mse_bin_4': 0.2106482982635498, 'redshifts/mse_bin_5': 0.0727771744132042, 'redshifts/nmad': 0.11231105029582977, 'redshifts/nmad_bin_0': 0.21467061340808868, 'redshifts/nmad_bin_1': 0.13395914435386658, 'redshifts/nmad_bin_2': 0.08763886243104935, 'redshifts/nmad_bin_3': 0.06796212494373322, 'redshifts/nmad_bin_4': 0.061542488634586334, 'redshifts/nmad_bin_5': 0.03481718525290489, 'redshifts/outlier_fraction': 0.3274777829647064, 'redshifts/outlier_fraction_bin_0': 0.49045121669769287, 'redshifts/outlier_fraction_bin_1': 0.3555663526058197, 'redshifts/outlier_fraction_bin_2': 0.26036331057548523, 'redshifts/outlier_fraction_bin_3': 0.19106699526309967, 'redshifts/outlier_fraction_bin_4': 0.18802817165851593, 'redshifts/outlier_fraction_bin_5': 0.09143738448619843, 'redshifts/outlier_fraction_cata': 0.08906279504299164, 'redshifts/outlier_fraction_cata_bin_0': 0.13277658820152283, 'redshifts/outlier_fraction_cata_bin_1': 0.10043752938508987, 'redshifts/outlier_fraction_cata_bin_2': 0.07824871689081192, 'redshifts/outlier_fraction_cata_bin_3': 0.056244831532239914, 'redshifts/outlier_fraction_cata_bin_4': 0.052112676203250885, 'redshifts/outlier_fraction_cata_bin_5': 0.01624762825667858}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 663/1563 [1:00:36<1:40:07, 6.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42358.])\n", + "total num of pts: tensor([15465., 10304., 4303., 2422., 1421., 8443.])\n", + "{'redshifts/bias_abs': 0.07581054419279099, 'redshifts/bias_abs_bin_0': 0.14513668417930603, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004350179340690374, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': -0.00017639994621276855, 'redshifts/mse': 0.31325289607048035, 'redshifts/mse_bin_0': 0.4422365427017212, 'redshifts/mse_bin_1': 0.36718374490737915, 'redshifts/mse_bin_2': 0.28421148657798767, 'redshifts/mse_bin_3': 0.21038872003555298, 'redshifts/mse_bin_4': 0.21050681173801422, 'redshifts/mse_bin_5': 0.07278045266866684, 'redshifts/nmad': 0.11232598125934601, 'redshifts/nmad_bin_0': 0.21478071808815002, 'redshifts/nmad_bin_1': 0.13402821123600006, 'redshifts/nmad_bin_2': 0.08758801221847534, 'redshifts/nmad_bin_3': 0.06797754019498825, 'redshifts/nmad_bin_4': 0.06189068406820297, 'redshifts/nmad_bin_5': 0.034879520535469055, 'redshifts/outlier_fraction': 0.3275650441646576, 'redshifts/outlier_fraction_bin_0': 0.4905916452407837, 'redshifts/outlier_fraction_bin_1': 0.355784147977829, 'redshifts/outlier_fraction_bin_2': 0.26028352975845337, 'redshifts/outlier_fraction_bin_3': 0.19075144827365875, 'redshifts/outlier_fraction_bin_4': 0.18789584934711456, 'redshifts/outlier_fraction_bin_5': 0.09155513346195221, 'redshifts/outlier_fraction_cata': 0.08912129700183868, 'redshifts/outlier_fraction_cata_bin_0': 0.13301002979278564, 'redshifts/outlier_fraction_cata_bin_1': 0.1004464253783226, 'redshifts/outlier_fraction_cata_bin_2': 0.07808505743741989, 'redshifts/outlier_fraction_cata_bin_3': 0.056151941418647766, 'redshifts/outlier_fraction_cata_bin_4': 0.052076004445552826, 'redshifts/outlier_fraction_cata_bin_5': 0.01622645929455757}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 42%|████▏ | 664/1563 [1:00:43<1:40:07, 6.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42431.])\n", + "total num of pts: tensor([15478., 10325., 4311., 2429., 1424., 8464.])\n", + "{'redshifts/bias_abs': 0.07581369578838348, 'redshifts/bias_abs_bin_0': 0.14509372413158417, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004362338688224554, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.00013270974159240723, 'redshifts/mse': 0.3133004605770111, 'redshifts/mse_bin_0': 0.4421120584011078, 'redshifts/mse_bin_1': 0.3674449324607849, 'redshifts/mse_bin_2': 0.28429925441741943, 'redshifts/mse_bin_3': 0.21274182200431824, 'redshifts/mse_bin_4': 0.21006657183170319, 'redshifts/mse_bin_5': 0.07269559800624847, 'redshifts/nmad': 0.11233904957771301, 'redshifts/nmad_bin_0': 0.2146153599023819, 'redshifts/nmad_bin_1': 0.13397780060768127, 'redshifts/nmad_bin_2': 0.08752207458019257, 'redshifts/nmad_bin_3': 0.06841719895601273, 'redshifts/nmad_bin_4': 0.061273328959941864, 'redshifts/nmad_bin_5': 0.03494429588317871, 'redshifts/outlier_fraction': 0.32756710052490234, 'redshifts/outlier_fraction_bin_0': 0.49050265550613403, 'redshifts/outlier_fraction_bin_1': 0.35612592101097107, 'redshifts/outlier_fraction_bin_2': 0.26026442646980286, 'redshifts/outlier_fraction_bin_3': 0.19143681228160858, 'redshifts/outlier_fraction_bin_4': 0.1875, 'redshifts/outlier_fraction_bin_5': 0.09168241918087006, 'redshifts/outlier_fraction_cata': 0.08913294225931168, 'redshifts/outlier_fraction_cata_bin_0': 0.1329629123210907, 'redshifts/outlier_fraction_cata_bin_1': 0.1006295382976532, 'redshifts/outlier_fraction_cata_bin_2': 0.07817211747169495, 'redshifts/outlier_fraction_cata_bin_3': 0.0564018115401268, 'redshifts/outlier_fraction_cata_bin_4': 0.051966290920972824, 'redshifts/outlier_fraction_cata_bin_5': 0.016186200082302094}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 665/1563 [1:00:51<1:47:13, 7.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42506.])\n", + "total num of pts: tensor([15501., 10345., 4317., 2434., 1428., 8481.])\n", + "{'redshifts/bias_abs': 0.07577847689390182, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004351495299488306, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': -0.00013748496712651104, 'redshifts/mse': 0.3132114112377167, 'redshifts/mse_bin_0': 0.44232016801834106, 'redshifts/mse_bin_1': 0.36713042855262756, 'redshifts/mse_bin_2': 0.28409111499786377, 'redshifts/mse_bin_3': 0.2123980075120926, 'redshifts/mse_bin_4': 0.20960532128810883, 'redshifts/mse_bin_5': 0.07266879826784134, 'redshifts/nmad': 0.11223220825195312, 'redshifts/nmad_bin_0': 0.21451419591903687, 'redshifts/nmad_bin_1': 0.1339375376701355, 'redshifts/nmad_bin_2': 0.08758801221847534, 'redshifts/nmad_bin_3': 0.06859847903251648, 'redshifts/nmad_bin_4': 0.061271000653505325, 'redshifts/nmad_bin_5': 0.03491537645459175, 'redshifts/outlier_fraction': 0.32738906145095825, 'redshifts/outlier_fraction_bin_0': 0.4903554618358612, 'redshifts/outlier_fraction_bin_1': 0.3557274043560028, 'redshifts/outlier_fraction_bin_2': 0.2603659927845001, 'redshifts/outlier_fraction_bin_3': 0.19145439565181732, 'redshifts/outlier_fraction_bin_4': 0.18767507374286652, 'redshifts/outlier_fraction_bin_5': 0.09161655604839325, 'redshifts/outlier_fraction_cata': 0.08909330517053604, 'redshifts/outlier_fraction_cata_bin_0': 0.1330236792564392, 'redshifts/outlier_fraction_cata_bin_1': 0.10053166002035141, 'redshifts/outlier_fraction_cata_bin_2': 0.0780634731054306, 'redshifts/outlier_fraction_cata_bin_3': 0.05628594756126404, 'redshifts/outlier_fraction_cata_bin_4': 0.05182072892785072, 'redshifts/outlier_fraction_cata_bin_5': 0.01615375466644764}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 666/1563 [1:00:58<1:47:12, 7.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42569.])\n", + "total num of pts: tensor([15526., 10361., 4323., 2438., 1428., 8493.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.04149700328707695, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': -0.00017639994621276855, 'redshifts/mse': 0.3131120502948761, 'redshifts/mse_bin_0': 0.441893994808197, 'redshifts/mse_bin_1': 0.3674473464488983, 'redshifts/mse_bin_2': 0.28410613536834717, 'redshifts/mse_bin_3': 0.2120525985956192, 'redshifts/mse_bin_4': 0.20960532128810883, 'redshifts/mse_bin_5': 0.07258129119873047, 'redshifts/nmad': 0.11230470985174179, 'redshifts/nmad_bin_0': 0.2142588049173355, 'redshifts/nmad_bin_1': 0.13404808938503265, 'redshifts/nmad_bin_2': 0.08781644701957703, 'redshifts/nmad_bin_3': 0.06806910783052444, 'redshifts/nmad_bin_4': 0.061271000653505325, 'redshifts/nmad_bin_5': 0.03493652492761612, 'redshifts/outlier_fraction': 0.3272569179534912, 'redshifts/outlier_fraction_bin_0': 0.49001675844192505, 'redshifts/outlier_fraction_bin_1': 0.3557571768760681, 'redshifts/outlier_fraction_bin_2': 0.2602359354496002, 'redshifts/outlier_fraction_bin_3': 0.191140279173851, 'redshifts/outlier_fraction_bin_4': 0.18767507374286652, 'redshifts/outlier_fraction_bin_5': 0.09160485118627548, 'redshifts/outlier_fraction_cata': 0.08905541896820068, 'redshifts/outlier_fraction_cata_bin_0': 0.13287389278411865, 'redshifts/outlier_fraction_cata_bin_1': 0.10056944191455841, 'redshifts/outlier_fraction_cata_bin_2': 0.07818644493818283, 'redshifts/outlier_fraction_cata_bin_3': 0.056193601340055466, 'redshifts/outlier_fraction_cata_bin_4': 0.05182072892785072, 'redshifts/outlier_fraction_cata_bin_5': 0.016130931675434113}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 667/1563 [1:01:03<1:36:07, 6.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42627.])\n", + "total num of pts: tensor([15544., 10374., 4325., 2439., 1430., 8515.])\n", + "{'redshifts/bias_abs': 0.07579629868268967, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004362338688224554, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': -0.00018949672812595963, 'redshifts/mse': 0.31303566694259644, 'redshifts/mse_bin_0': 0.4419335126876831, 'redshifts/mse_bin_1': 0.36754536628723145, 'redshifts/mse_bin_2': 0.2839975357055664, 'redshifts/mse_bin_3': 0.21196570992469788, 'redshifts/mse_bin_4': 0.20937463641166687, 'redshifts/mse_bin_5': 0.0724354237318039, 'redshifts/nmad': 0.11231865733861923, 'redshifts/nmad_bin_0': 0.21435150504112244, 'redshifts/nmad_bin_1': 0.13407647609710693, 'redshifts/nmad_bin_2': 0.08781644701957703, 'redshifts/nmad_bin_3': 0.06792846322059631, 'redshifts/nmad_bin_4': 0.061542488634586334, 'redshifts/nmad_bin_5': 0.03494265303015709, 'redshifts/outlier_fraction': 0.3272339105606079, 'redshifts/outlier_fraction_bin_0': 0.49015697836875916, 'redshifts/outlier_fraction_bin_1': 0.3558897376060486, 'redshifts/outlier_fraction_bin_2': 0.2601155936717987, 'redshifts/outlier_fraction_bin_3': 0.19106191396713257, 'redshifts/outlier_fraction_bin_4': 0.1874125897884369, 'redshifts/outlier_fraction_bin_5': 0.09148561209440231, 'redshifts/outlier_fraction_cata': 0.08900462090969086, 'redshifts/outlier_fraction_cata_bin_0': 0.13284869492053986, 'redshifts/outlier_fraction_cata_bin_1': 0.10053981095552444, 'redshifts/outlier_fraction_cata_bin_2': 0.07815028727054596, 'redshifts/outlier_fraction_cata_bin_3': 0.05617056041955948, 'redshifts/outlier_fraction_cata_bin_4': 0.05174825340509415, 'redshifts/outlier_fraction_cata_bin_5': 0.01608925499022007}\n", + "total num of pts: tensor([42693.])\n", + "total num of pts: tensor([15562., 10391., 4338., 2443., 1434., 8525.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 668/1563 [1:01:08<1:30:11, 6.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.075815349817276, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004351495299488306, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00013270974159240723, 'redshifts/mse': 0.3131605386734009, 'redshifts/mse_bin_0': 0.44215112924575806, 'redshifts/mse_bin_1': 0.3681342601776123, 'redshifts/mse_bin_2': 0.2833709716796875, 'redshifts/mse_bin_3': 0.21178394556045532, 'redshifts/mse_bin_4': 0.20892730355262756, 'redshifts/mse_bin_5': 0.07243366539478302, 'redshifts/nmad': 0.11238724738359451, 'redshifts/nmad_bin_0': 0.21422962844371796, 'redshifts/nmad_bin_1': 0.13409565389156342, 'redshifts/nmad_bin_2': 0.08760526031255722, 'redshifts/nmad_bin_3': 0.068048395216465, 'redshifts/nmad_bin_4': 0.06196622923016548, 'redshifts/nmad_bin_5': 0.034964147955179214, 'redshifts/outlier_fraction': 0.3272199332714081, 'redshifts/outlier_fraction_bin_0': 0.4900398552417755, 'redshifts/outlier_fraction_bin_1': 0.3558849096298218, 'redshifts/outlier_fraction_bin_2': 0.260027676820755, 'redshifts/outlier_fraction_bin_3': 0.19156774878501892, 'redshifts/outlier_fraction_bin_4': 0.187587171792984, 'redshifts/outlier_fraction_bin_5': 0.09161290526390076, 'redshifts/outlier_fraction_cata': 0.08900756388902664, 'redshifts/outlier_fraction_cata_bin_0': 0.13282354176044464, 'redshifts/outlier_fraction_cata_bin_1': 0.10076027363538742, 'redshifts/outlier_fraction_cata_bin_2': 0.07791609317064285, 'redshifts/outlier_fraction_cata_bin_3': 0.05607859045267105, 'redshifts/outlier_fraction_cata_bin_4': 0.051603905856609344, 'redshifts/outlier_fraction_cata_bin_5': 0.016070380806922913}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 669/1563 [1:01:13<1:24:53, 5.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42752.])\n", + "total num of pts: tensor([15583., 10401., 4347., 2445., 1435., 8541.])\n", + "{'redshifts/bias_abs': 0.07585220783948898, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004362338688224554, 'redshifts/bias_bin_0': 0.02948729507625103, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00013748496712651104, 'redshifts/mse': 0.3132161498069763, 'redshifts/mse_bin_0': 0.4422059953212738, 'redshifts/mse_bin_1': 0.36861976981163025, 'redshifts/mse_bin_2': 0.28310906887054443, 'redshifts/mse_bin_3': 0.21170547604560852, 'redshifts/mse_bin_4': 0.20897331833839417, 'redshifts/mse_bin_5': 0.0723055899143219, 'redshifts/nmad': 0.11243399232625961, 'redshifts/nmad_bin_0': 0.21433091163635254, 'redshifts/nmad_bin_1': 0.13414262235164642, 'redshifts/nmad_bin_2': 0.08758801221847534, 'redshifts/nmad_bin_3': 0.06840596348047256, 'redshifts/nmad_bin_4': 0.06222447007894516, 'redshifts/nmad_bin_5': 0.03495461493730545, 'redshifts/outlier_fraction': 0.32732972502708435, 'redshifts/outlier_fraction_bin_0': 0.49014952778816223, 'redshifts/outlier_fraction_bin_1': 0.3561196029186249, 'redshifts/outlier_fraction_bin_2': 0.26017943024635315, 'redshifts/outlier_fraction_bin_3': 0.1922290325164795, 'redshifts/outlier_fraction_bin_4': 0.18815331161022186, 'redshifts/outlier_fraction_bin_5': 0.09144128113985062, 'redshifts/outlier_fraction_cata': 0.08900168538093567, 'redshifts/outlier_fraction_cata_bin_0': 0.13283707201480865, 'redshifts/outlier_fraction_cata_bin_1': 0.10085568577051163, 'redshifts/outlier_fraction_cata_bin_2': 0.07775477319955826, 'redshifts/outlier_fraction_cata_bin_3': 0.05603272095322609, 'redshifts/outlier_fraction_cata_bin_4': 0.05156794562935829, 'redshifts/outlier_fraction_cata_bin_5': 0.016040276736021042}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 670/1563 [1:01:18<1:22:57, 5.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([42825.])\n", + "total num of pts: tensor([15602., 10416., 4358., 2449., 1442., 8558.])\n", + "{'redshifts/bias_abs': 0.07585600763559341, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.00018949672812595963, 'redshifts/mse': 0.3131774365901947, 'redshifts/mse_bin_0': 0.441997230052948, 'redshifts/mse_bin_1': 0.3688924014568329, 'redshifts/mse_bin_2': 0.2833738625049591, 'redshifts/mse_bin_3': 0.21178372204303741, 'redshifts/mse_bin_4': 0.20946741104125977, 'redshifts/mse_bin_5': 0.07218649238348007, 'redshifts/nmad': 0.11247097700834274, 'redshifts/nmad_bin_0': 0.21417008340358734, 'redshifts/nmad_bin_1': 0.13415756821632385, 'redshifts/nmad_bin_2': 0.08767767250537872, 'redshifts/nmad_bin_3': 0.06803298741579056, 'redshifts/nmad_bin_4': 0.06172412261366844, 'redshifts/nmad_bin_5': 0.03494265303015709, 'redshifts/outlier_fraction': 0.3272387683391571, 'redshifts/outlier_fraction_bin_0': 0.4899371862411499, 'redshifts/outlier_fraction_bin_1': 0.35627880692481995, 'redshifts/outlier_fraction_bin_2': 0.26021111011505127, 'redshifts/outlier_fraction_bin_3': 0.19232340157032013, 'redshifts/outlier_fraction_bin_4': 0.18793343007564545, 'redshifts/outlier_fraction_bin_5': 0.09149333834648132, 'redshifts/outlier_fraction_cata': 0.08903677761554718, 'redshifts/outlier_fraction_cata_bin_0': 0.13273939490318298, 'redshifts/outlier_fraction_cata_bin_1': 0.10099846124649048, 'redshifts/outlier_fraction_cata_bin_2': 0.07801743596792221, 'redshifts/outlier_fraction_cata_bin_3': 0.056349530816078186, 'redshifts/outlier_fraction_cata_bin_4': 0.052011094987392426, 'redshifts/outlier_fraction_cata_bin_5': 0.016008412465453148}\n", + "total num of pts: tensor([42896.])\n", + "total num of pts: tensor([15628., 10434., 4366., 2452., 1445., 8571.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 671/1563 [1:01:28<1:41:03, 6.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07583078742027283, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004333972930908203, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': -0.00018949672812595963, 'redshifts/mse': 0.31298670172691345, 'redshifts/mse_bin_0': 0.4416463077068329, 'redshifts/mse_bin_1': 0.3684844374656677, 'redshifts/mse_bin_2': 0.2840745449066162, 'redshifts/mse_bin_3': 0.21153202652931213, 'redshifts/mse_bin_4': 0.20906075835227966, 'redshifts/mse_bin_5': 0.07210971415042877, 'redshifts/nmad': 0.11244914680719376, 'redshifts/nmad_bin_0': 0.2143269181251526, 'redshifts/nmad_bin_1': 0.13420943915843964, 'redshifts/nmad_bin_2': 0.08769491314888, 'redshifts/nmad_bin_3': 0.06796212494373322, 'redshifts/nmad_bin_4': 0.06199122592806816, 'redshifts/nmad_bin_5': 0.03494265303015709, 'redshifts/outlier_fraction': 0.32725661993026733, 'redshifts/outlier_fraction_bin_0': 0.49014589190483093, 'redshifts/outlier_fraction_bin_1': 0.3562392294406891, 'redshifts/outlier_fraction_bin_2': 0.25996336340904236, 'redshifts/outlier_fraction_bin_3': 0.19208809733390808, 'redshifts/outlier_fraction_bin_4': 0.18754325807094574, 'redshifts/outlier_fraction_bin_5': 0.09147123992443085, 'redshifts/outlier_fraction_cata': 0.0889127179980278, 'redshifts/outlier_fraction_cata_bin_0': 0.13251855969429016, 'redshifts/outlier_fraction_cata_bin_1': 0.10082422941923141, 'redshifts/outlier_fraction_cata_bin_2': 0.07810352742671967, 'redshifts/outlier_fraction_cata_bin_3': 0.05628058686852455, 'redshifts/outlier_fraction_cata_bin_4': 0.05190311372280121, 'redshifts/outlier_fraction_cata_bin_5': 0.015984132885932922}\n", + "total num of pts: tensor([42972.])\n", + "total num of pts: tensor([15661., 10449., 4372., 2457., 1448., 8585.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 672/1563 [1:01:37<1:52:15, 7.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07581369578838348, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004343187436461449, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -0.00013748496712651104, 'redshifts/mse': 0.31278374791145325, 'redshifts/mse_bin_0': 0.44128260016441345, 'redshifts/mse_bin_1': 0.3683646619319916, 'redshifts/mse_bin_2': 0.2840047776699066, 'redshifts/mse_bin_3': 0.21125604212284088, 'redshifts/mse_bin_4': 0.2086304873228073, 'redshifts/mse_bin_5': 0.0720069482922554, 'redshifts/nmad': 0.11236099898815155, 'redshifts/nmad_bin_0': 0.21413104236125946, 'redshifts/nmad_bin_1': 0.13414596021175385, 'redshifts/nmad_bin_2': 0.08761747181415558, 'redshifts/nmad_bin_3': 0.068048395216465, 'redshifts/nmad_bin_4': 0.06151515990495682, 'redshifts/nmad_bin_5': 0.03495257347822189, 'redshifts/outlier_fraction': 0.32711997628211975, 'redshifts/outlier_fraction_bin_0': 0.48981547355651855, 'redshifts/outlier_fraction_bin_1': 0.3560149371623993, 'redshifts/outlier_fraction_bin_2': 0.260064035654068, 'redshifts/outlier_fraction_bin_3': 0.192511186003685, 'redshifts/outlier_fraction_bin_4': 0.18715469539165497, 'redshifts/outlier_fraction_bin_5': 0.09143855422735214, 'redshifts/outlier_fraction_cata': 0.0888252779841423, 'redshifts/outlier_fraction_cata_bin_0': 0.13236702978610992, 'redshifts/outlier_fraction_cata_bin_1': 0.10077519714832306, 'redshifts/outlier_fraction_cata_bin_2': 0.07799634337425232, 'redshifts/outlier_fraction_cata_bin_3': 0.05616605654358864, 'redshifts/outlier_fraction_cata_bin_4': 0.05179557949304581, 'redshifts/outlier_fraction_cata_bin_5': 0.015958067029714584}\n", + "total num of pts: tensor([43036.])\n", + "total num of pts: tensor([15679., 10469., 4378., 2464., 1452., 8594.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 673/1563 [1:01:45<1:53:27, 7.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.075815349817276, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004337481688708067, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.00013270974159240723, 'redshifts/mse': 0.31288963556289673, 'redshifts/mse_bin_0': 0.441378116607666, 'redshifts/mse_bin_1': 0.36820128560066223, 'redshifts/mse_bin_2': 0.28465208411216736, 'redshifts/mse_bin_3': 0.21098272502422333, 'redshifts/mse_bin_4': 0.21086175739765167, 'redshifts/mse_bin_5': 0.07193838059902191, 'redshifts/nmad': 0.11236646771430969, 'redshifts/nmad_bin_0': 0.21415840089321136, 'redshifts/nmad_bin_1': 0.1341264545917511, 'redshifts/nmad_bin_2': 0.08758801221847534, 'redshifts/nmad_bin_3': 0.06798567622900009, 'redshifts/nmad_bin_4': 0.061479005962610245, 'redshifts/nmad_bin_5': 0.03494549170136452, 'redshifts/outlier_fraction': 0.32716795802116394, 'redshifts/outlier_fraction_bin_0': 0.4898909330368042, 'redshifts/outlier_fraction_bin_1': 0.35619446635246277, 'redshifts/outlier_fraction_bin_2': 0.2601644694805145, 'redshifts/outlier_fraction_bin_3': 0.19237013161182404, 'redshifts/outlier_fraction_bin_4': 0.1873278170824051, 'redshifts/outlier_fraction_bin_5': 0.09134279936552048, 'redshifts/outlier_fraction_cata': 0.08887907862663269, 'redshifts/outlier_fraction_cata_bin_0': 0.13247017562389374, 'redshifts/outlier_fraction_cata_bin_1': 0.10067819058895111, 'redshifts/outlier_fraction_cata_bin_2': 0.07834627479314804, 'redshifts/outlier_fraction_cata_bin_3': 0.05600649490952492, 'redshifts/outlier_fraction_cata_bin_4': 0.05234159901738167, 'redshifts/outlier_fraction_cata_bin_5': 0.015941353514790535}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 674/1563 [1:01:52<1:50:57, 7.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43099.])\n", + "total num of pts: tensor([15690., 10489., 4387., 2468., 1454., 8611.])\n", + "{'redshifts/bias_abs': 0.07579629868268967, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004333972930908203, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.0028808258939534426, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.00013748496712651104, 'redshifts/mse': 0.3126247823238373, 'redshifts/mse_bin_0': 0.44122806191444397, 'redshifts/mse_bin_1': 0.3679663836956024, 'redshifts/mse_bin_2': 0.28412020206451416, 'redshifts/mse_bin_3': 0.21065707504749298, 'redshifts/mse_bin_4': 0.21057875454425812, 'redshifts/mse_bin_5': 0.0718679428100586, 'redshifts/nmad': 0.11232900619506836, 'redshifts/nmad_bin_0': 0.2141515016555786, 'redshifts/nmad_bin_1': 0.1341264545917511, 'redshifts/nmad_bin_2': 0.08767767250537872, 'redshifts/nmad_bin_3': 0.06797412037849426, 'redshifts/nmad_bin_4': 0.061479005962610245, 'redshifts/nmad_bin_5': 0.03497122973203659, 'redshifts/outlier_fraction': 0.3270377516746521, 'redshifts/outlier_fraction_bin_0': 0.4898661673069, 'redshifts/outlier_fraction_bin_1': 0.35618266463279724, 'redshifts/outlier_fraction_bin_2': 0.2598586678504944, 'redshifts/outlier_fraction_bin_3': 0.19205833971500397, 'redshifts/outlier_fraction_bin_4': 0.18707014620304108, 'redshifts/outlier_fraction_bin_5': 0.09139472991228104, 'redshifts/outlier_fraction_cata': 0.08877236396074295, 'redshifts/outlier_fraction_cata_bin_0': 0.13237731158733368, 'redshifts/outlier_fraction_cata_bin_1': 0.1005815640091896, 'redshifts/outlier_fraction_cata_bin_2': 0.0781855508685112, 'redshifts/outlier_fraction_cata_bin_3': 0.055915720760822296, 'redshifts/outlier_fraction_cata_bin_4': 0.052269600331783295, 'redshifts/outlier_fraction_cata_bin_5': 0.01590988226234913}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 675/1563 [1:01:57<1:40:50, 6.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43172.])\n", + "total num of pts: tensor([15724., 10504., 4396., 2471., 1456., 8621.])\n", + "{'redshifts/bias_abs': 0.07581054419279099, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.00013270974159240723, 'redshifts/mse': 0.3127061128616333, 'redshifts/mse_bin_0': 0.44159677624702454, 'redshifts/mse_bin_1': 0.3676791489124298, 'redshifts/mse_bin_2': 0.2839910089969635, 'redshifts/mse_bin_3': 0.21040625870227814, 'redshifts/mse_bin_4': 0.21030741930007935, 'redshifts/mse_bin_5': 0.07190102338790894, 'redshifts/nmad': 0.11235640197992325, 'redshifts/nmad_bin_0': 0.2141723334789276, 'redshifts/nmad_bin_1': 0.1340939700603485, 'redshifts/nmad_bin_2': 0.08771821856498718, 'redshifts/nmad_bin_3': 0.06797412037849426, 'redshifts/nmad_bin_4': 0.06144740432500839, 'redshifts/nmad_bin_5': 0.03496754541993141, 'redshifts/outlier_fraction': 0.32701751589775085, 'redshifts/outlier_fraction_bin_0': 0.489888072013855, 'redshifts/outlier_fraction_bin_1': 0.35595962405204773, 'redshifts/outlier_fraction_bin_2': 0.2597816288471222, 'redshifts/outlier_fraction_bin_3': 0.19182516634464264, 'redshifts/outlier_fraction_bin_4': 0.18681319057941437, 'redshifts/outlier_fraction_bin_5': 0.09140470623970032, 'redshifts/outlier_fraction_cata': 0.08883072435855865, 'redshifts/outlier_fraction_cata_bin_0': 0.13253624737262726, 'redshifts/outlier_fraction_cata_bin_1': 0.100533127784729, 'redshifts/outlier_fraction_cata_bin_2': 0.07825295627117157, 'redshifts/outlier_fraction_cata_bin_3': 0.055847834795713425, 'redshifts/outlier_fraction_cata_bin_4': 0.05219780281186104, 'redshifts/outlier_fraction_cata_bin_5': 0.01589142717421055}\n", + "total num of pts: tensor([43253.])\n", + "total num of pts: tensor([15744., 10524., 4405., 2476., 1459., 8645.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 676/1563 [1:02:05<1:44:45, 7.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07578330487012863, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04597576707601547, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004333972930908203, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002869196003302932, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.00017639994621276855, 'redshifts/mse': 0.31255313754081726, 'redshifts/mse_bin_0': 0.4416184425354004, 'redshifts/mse_bin_1': 0.3677781820297241, 'redshifts/mse_bin_2': 0.28359082341194153, 'redshifts/mse_bin_3': 0.21001334488391876, 'redshifts/mse_bin_4': 0.2098781317472458, 'redshifts/mse_bin_5': 0.07173248380422592, 'redshifts/nmad': 0.11229699850082397, 'redshifts/nmad_bin_0': 0.21423453092575073, 'redshifts/nmad_bin_1': 0.13406671583652496, 'redshifts/nmad_bin_2': 0.08773689717054367, 'redshifts/nmad_bin_3': 0.0677696168422699, 'redshifts/nmad_bin_4': 0.061479005962610245, 'redshifts/nmad_bin_5': 0.035010483115911484, 'redshifts/outlier_fraction': 0.32679814100265503, 'redshifts/outlier_fraction_bin_0': 0.4898374080657959, 'redshifts/outlier_fraction_bin_1': 0.3559482991695404, 'redshifts/outlier_fraction_bin_2': 0.2594778537750244, 'redshifts/outlier_fraction_bin_3': 0.19143779575824738, 'redshifts/outlier_fraction_bin_4': 0.18642906844615936, 'redshifts/outlier_fraction_bin_5': 0.09115095436573029, 'redshifts/outlier_fraction_cata': 0.08877997100353241, 'redshifts/outlier_fraction_cata_bin_0': 0.1325584352016449, 'redshifts/outlier_fraction_cata_bin_1': 0.10053211450576782, 'redshifts/outlier_fraction_cata_bin_2': 0.07809307426214218, 'redshifts/outlier_fraction_cata_bin_3': 0.05573505535721779, 'redshifts/outlier_fraction_cata_bin_4': 0.05209047347307205, 'redshifts/outlier_fraction_cata_bin_5': 0.015847310423851013}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 677/1563 [1:02:15<1:56:01, 7.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43330.])\n", + "total num of pts: tensor([15759., 10548., 4411., 2482., 1466., 8664.])\n", + "{'redshifts/bias_abs': 0.07578330487012863, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.04594707116484642, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004333972930908203, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': -0.00017639994621276855, 'redshifts/mse': 0.31239110231399536, 'redshifts/mse_bin_0': 0.4413226842880249, 'redshifts/mse_bin_1': 0.36737892031669617, 'redshifts/mse_bin_2': 0.28472667932510376, 'redshifts/mse_bin_3': 0.20952899754047394, 'redshifts/mse_bin_4': 0.21121427416801453, 'redshifts/mse_bin_5': 0.07160623371601105, 'redshifts/nmad': 0.1122766062617302, 'redshifts/nmad_bin_0': 0.214145228266716, 'redshifts/nmad_bin_1': 0.13415485620498657, 'redshifts/nmad_bin_2': 0.08781644701957703, 'redshifts/nmad_bin_3': 0.06768471002578735, 'redshifts/nmad_bin_4': 0.06149530038237572, 'redshifts/nmad_bin_5': 0.03503934666514397, 'redshifts/outlier_fraction': 0.32660973072052, 'redshifts/outlier_fraction_bin_0': 0.4896249771118164, 'redshifts/outlier_fraction_bin_1': 0.3559916615486145, 'redshifts/outlier_fraction_bin_2': 0.25935161113739014, 'redshifts/outlier_fraction_bin_3': 0.19097502529621124, 'redshifts/outlier_fraction_bin_4': 0.1875852644443512, 'redshifts/outlier_fraction_bin_5': 0.09095106273889542, 'redshifts/outlier_fraction_cata': 0.08871451765298843, 'redshifts/outlier_fraction_cata_bin_0': 0.1324322670698166, 'redshifts/outlier_fraction_cata_bin_1': 0.10049298405647278, 'redshifts/outlier_fraction_cata_bin_2': 0.07821355760097504, 'redshifts/outlier_fraction_cata_bin_3': 0.05560032278299332, 'redshifts/outlier_fraction_cata_bin_4': 0.05252387374639511, 'redshifts/outlier_fraction_cata_bin_5': 0.015812557190656662}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 678/1563 [1:02:25<2:07:07, 8.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43406.])\n", + "total num of pts: tensor([15783., 10567., 4421., 2486., 1469., 8680.])\n", + "{'redshifts/bias_abs': 0.07572242617607117, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.04594707116484642, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004343187436461449, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': -0.00013748496712651104, 'redshifts/mse': 0.3123011887073517, 'redshifts/mse_bin_0': 0.4412177503108978, 'redshifts/mse_bin_1': 0.366918683052063, 'redshifts/mse_bin_2': 0.2860201895236969, 'redshifts/mse_bin_3': 0.2092045098543167, 'redshifts/mse_bin_4': 0.2107936441898346, 'redshifts/mse_bin_5': 0.07149405032396317, 'redshifts/nmad': 0.11220072954893112, 'redshifts/nmad_bin_0': 0.21408231556415558, 'redshifts/nmad_bin_1': 0.1341041624546051, 'redshifts/nmad_bin_2': 0.08784795552492142, 'redshifts/nmad_bin_3': 0.06770021468400955, 'redshifts/nmad_bin_4': 0.061606474220752716, 'redshifts/nmad_bin_5': 0.03501878306269646, 'redshifts/outlier_fraction': 0.32654473185539246, 'redshifts/outlier_fraction_bin_0': 0.4896407425403595, 'redshifts/outlier_fraction_bin_1': 0.355824738740921, 'redshifts/outlier_fraction_bin_2': 0.2594435513019562, 'redshifts/outlier_fraction_bin_3': 0.19066773355007172, 'redshifts/outlier_fraction_bin_4': 0.18720218539237976, 'redshifts/outlier_fraction_bin_5': 0.0910138264298439, 'redshifts/outlier_fraction_cata': 0.08865133672952652, 'redshifts/outlier_fraction_cata_bin_0': 0.13235759735107422, 'redshifts/outlier_fraction_cata_bin_1': 0.10031229257583618, 'redshifts/outlier_fraction_cata_bin_2': 0.0784890279173851, 'redshifts/outlier_fraction_cata_bin_3': 0.055510859936475754, 'redshifts/outlier_fraction_cata_bin_4': 0.0524166114628315, 'redshifts/outlier_fraction_cata_bin_5': 0.015783410519361496}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 43%|████▎ | 679/1563 [1:02:31<1:55:06, 7.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43487.])\n", + "total num of pts: tensor([15803., 10589., 4431., 2489., 1473., 8702.])\n", + "{'redshifts/bias_abs': 0.0756986141204834, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.04594707116484642, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02363508753478527, 'redshifts/bias': 0.004334535915404558, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -0.00010296103573637083, 'redshifts/mse': 0.31243234872817993, 'redshifts/mse_bin_0': 0.44127801060676575, 'redshifts/mse_bin_1': 0.3671844005584717, 'redshifts/mse_bin_2': 0.28675198554992676, 'redshifts/mse_bin_3': 0.2089584618806839, 'redshifts/mse_bin_4': 0.21027469635009766, 'redshifts/mse_bin_5': 0.07178907096385956, 'redshifts/nmad': 0.11218739300966263, 'redshifts/nmad_bin_0': 0.21405214071273804, 'redshifts/nmad_bin_1': 0.1342121660709381, 'redshifts/nmad_bin_2': 0.08784795552492142, 'redshifts/nmad_bin_3': 0.06770021468400955, 'redshifts/nmad_bin_4': 0.06212959066033363, 'redshifts/nmad_bin_5': 0.03507094830274582, 'redshifts/outlier_fraction': 0.3264883756637573, 'redshifts/outlier_fraction_bin_0': 0.48952731490135193, 'redshifts/outlier_fraction_bin_1': 0.35593539476394653, 'redshifts/outlier_fraction_bin_2': 0.2595351040363312, 'redshifts/outlier_fraction_bin_3': 0.1904379278421402, 'redshifts/outlier_fraction_bin_4': 0.18737271428108215, 'redshifts/outlier_fraction_bin_5': 0.09112847596406937, 'redshifts/outlier_fraction_cata': 0.08871617168188095, 'redshifts/outlier_fraction_cata_bin_0': 0.1323799341917038, 'redshifts/outlier_fraction_cata_bin_1': 0.10048162937164307, 'redshifts/outlier_fraction_cata_bin_2': 0.07876326143741608, 'redshifts/outlier_fraction_cata_bin_3': 0.05544395372271538, 'redshifts/outlier_fraction_cata_bin_4': 0.052274271845817566, 'redshifts/outlier_fraction_cata_bin_5': 0.015858422964811325}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▎ | 680/1563 [1:02:37<1:45:54, 7.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43560.])\n", + "total num of pts: tensor([15824., 10605., 4438., 2492., 1480., 8721.])\n", + "{'redshifts/bias_abs': 0.07572967559099197, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04594707116484642, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004334535915404558, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -0.00013270974159240723, 'redshifts/mse': 0.312514066696167, 'redshifts/mse_bin_0': 0.4417152404785156, 'redshifts/mse_bin_1': 0.36721476912498474, 'redshifts/mse_bin_2': 0.2870495617389679, 'redshifts/mse_bin_3': 0.2088281810283661, 'redshifts/mse_bin_4': 0.2093345671892166, 'redshifts/mse_bin_5': 0.071663998067379, 'redshifts/nmad': 0.1122063547372818, 'redshifts/nmad_bin_0': 0.21408231556415558, 'redshifts/nmad_bin_1': 0.13430845737457275, 'redshifts/nmad_bin_2': 0.08784234523773193, 'redshifts/nmad_bin_3': 0.06770011782646179, 'redshifts/nmad_bin_4': 0.0620659738779068, 'redshifts/nmad_bin_5': 0.0350317545235157, 'redshifts/outlier_fraction': 0.3265151381492615, 'redshifts/outlier_fraction_bin_0': 0.48963600397109985, 'redshifts/outlier_fraction_bin_1': 0.35596415400505066, 'redshifts/outlier_fraction_bin_2': 0.2598017156124115, 'redshifts/outlier_fraction_bin_3': 0.1910112351179123, 'redshifts/outlier_fraction_bin_4': 0.18648648262023926, 'redshifts/outlier_fraction_bin_5': 0.09115926921367645, 'redshifts/outlier_fraction_cata': 0.08872818946838379, 'redshifts/outlier_fraction_cata_bin_0': 0.13245703279972076, 'redshifts/outlier_fraction_cata_bin_1': 0.1005186215043068, 'redshifts/outlier_fraction_cata_bin_2': 0.07886435091495514, 'redshifts/outlier_fraction_cata_bin_3': 0.055377207696437836, 'redshifts/outlier_fraction_cata_bin_4': 0.05202702805399895, 'redshifts/outlier_fraction_cata_bin_5': 0.01582387275993824}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▎ | 681/1563 [1:02:42<1:39:20, 6.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43623.])\n", + "total num of pts: tensor([15842., 10620., 4442., 2499., 1482., 8738.])\n", + "{'redshifts/bias_abs': 0.0756986141204834, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004334535915404558, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002787340199574828, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -9.233893797500059e-05, 'redshifts/mse': 0.31239864230155945, 'redshifts/mse_bin_0': 0.44169285893440247, 'redshifts/mse_bin_1': 0.3671894371509552, 'redshifts/mse_bin_2': 0.28688666224479675, 'redshifts/mse_bin_3': 0.20832911133766174, 'redshifts/mse_bin_4': 0.20905528962612152, 'redshifts/mse_bin_5': 0.0716586709022522, 'redshifts/nmad': 0.11217985302209854, 'redshifts/nmad_bin_0': 0.214145228266716, 'redshifts/nmad_bin_1': 0.13431425392627716, 'redshifts/nmad_bin_2': 0.08785825222730637, 'redshifts/nmad_bin_3': 0.06772053986787796, 'redshifts/nmad_bin_4': 0.0620659738779068, 'redshifts/nmad_bin_5': 0.034978944808244705, 'redshifts/outlier_fraction': 0.32647913694381714, 'redshifts/outlier_fraction_bin_0': 0.489647775888443, 'redshifts/outlier_fraction_bin_1': 0.3560263514518738, 'redshifts/outlier_fraction_bin_2': 0.25979289412498474, 'redshifts/outlier_fraction_bin_3': 0.19087634980678558, 'redshifts/outlier_fraction_bin_4': 0.18623481690883636, 'redshifts/outlier_fraction_bin_5': 0.09121080487966537, 'redshifts/outlier_fraction_cata': 0.0887375921010971, 'redshifts/outlier_fraction_cata_bin_0': 0.13249589502811432, 'redshifts/outlier_fraction_cata_bin_1': 0.10056497156620026, 'redshifts/outlier_fraction_cata_bin_2': 0.07879333943128586, 'redshifts/outlier_fraction_cata_bin_3': 0.05522209033370018, 'redshifts/outlier_fraction_cata_bin_4': 0.05195681378245354, 'redshifts/outlier_fraction_cata_bin_5': 0.01590752974152565}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▎ | 682/1563 [1:02:49<1:37:06, 6.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43706.])\n", + "total num of pts: tensor([15866., 10640., 4449., 2505., 1482., 8764.])\n", + "{'redshifts/bias_abs': 0.07575250416994095, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023587072268128395, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.31252527236938477, 'redshifts/mse_bin_0': 0.44167429208755493, 'redshifts/mse_bin_1': 0.36834314465522766, 'redshifts/mse_bin_2': 0.28657177090644836, 'redshifts/mse_bin_3': 0.20788757503032684, 'redshifts/mse_bin_4': 0.20905528962612152, 'redshifts/mse_bin_5': 0.07153595238924026, 'redshifts/nmad': 0.11222929507493973, 'redshifts/nmad_bin_0': 0.2141495794057846, 'redshifts/nmad_bin_1': 0.13451717793941498, 'redshifts/nmad_bin_2': 0.08802133798599243, 'redshifts/nmad_bin_3': 0.0677204430103302, 'redshifts/nmad_bin_4': 0.0620659738779068, 'redshifts/nmad_bin_5': 0.03499786928296089, 'redshifts/outlier_fraction': 0.3265913128852844, 'redshifts/outlier_fraction_bin_0': 0.4897264540195465, 'redshifts/outlier_fraction_bin_1': 0.3565789461135864, 'redshifts/outlier_fraction_bin_2': 0.2596088945865631, 'redshifts/outlier_fraction_bin_3': 0.19041916728019714, 'redshifts/outlier_fraction_bin_4': 0.18623481690883636, 'redshifts/outlier_fraction_bin_5': 0.09151072800159454, 'redshifts/outlier_fraction_cata': 0.08877499401569366, 'redshifts/outlier_fraction_cata_bin_0': 0.1324845552444458, 'redshifts/outlier_fraction_cata_bin_1': 0.10093984752893448, 'redshifts/outlier_fraction_cata_bin_2': 0.07866936177015305, 'redshifts/outlier_fraction_cata_bin_3': 0.05508982017636299, 'redshifts/outlier_fraction_cata_bin_4': 0.05195681378245354, 'redshifts/outlier_fraction_cata_bin_5': 0.015860337764024734}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▎ | 683/1563 [1:02:56<1:42:10, 6.97s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43772.])\n", + "total num of pts: tensor([15887., 10662., 4456., 2509., 1484., 8774.])\n", + "{'redshifts/bias_abs': 0.07575250416994095, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002685701474547386, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': -5.507469177246094e-05, 'redshifts/mse': 0.3123560845851898, 'redshifts/mse_bin_0': 0.4414306879043579, 'redshifts/mse_bin_1': 0.36805152893066406, 'redshifts/mse_bin_2': 0.2867366373538971, 'redshifts/mse_bin_3': 0.20757192373275757, 'redshifts/mse_bin_4': 0.20877863466739655, 'redshifts/mse_bin_5': 0.07145826518535614, 'redshifts/nmad': 0.11221326887607574, 'redshifts/nmad_bin_0': 0.21402990818023682, 'redshifts/nmad_bin_1': 0.1344372183084488, 'redshifts/nmad_bin_2': 0.0881214514374733, 'redshifts/nmad_bin_3': 0.06772053986787796, 'redshifts/nmad_bin_4': 0.062018077820539474, 'redshifts/nmad_bin_5': 0.03501899540424347, 'redshifts/outlier_fraction': 0.32651010155677795, 'redshifts/outlier_fraction_bin_0': 0.48951974511146545, 'redshifts/outlier_fraction_bin_1': 0.356593519449234, 'redshifts/outlier_fraction_bin_2': 0.2598743140697479, 'redshifts/outlier_fraction_bin_3': 0.19011558592319489, 'redshifts/outlier_fraction_bin_4': 0.1859838217496872, 'redshifts/outlier_fraction_bin_5': 0.0914064273238182, 'redshifts/outlier_fraction_cata': 0.0887325257062912, 'redshifts/outlier_fraction_cata_bin_0': 0.13243532180786133, 'redshifts/outlier_fraction_cata_bin_1': 0.10082536190748215, 'redshifts/outlier_fraction_cata_bin_2': 0.07877019792795181, 'redshifts/outlier_fraction_cata_bin_3': 0.05500199273228645, 'redshifts/outlier_fraction_cata_bin_4': 0.05188679322600365, 'redshifts/outlier_fraction_cata_bin_5': 0.015842260792851448}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 684/1563 [1:03:02<1:34:47, 6.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43832.])\n", + "total num of pts: tensor([15904., 10676., 4464., 2509., 1487., 8792.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023615658283233643, 'redshifts/bias': 0.004359842743724585, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.31250911951065063, 'redshifts/mse_bin_0': 0.4415523111820221, 'redshifts/mse_bin_1': 0.3686026632785797, 'redshifts/mse_bin_2': 0.28723812103271484, 'redshifts/mse_bin_3': 0.20757192373275757, 'redshifts/mse_bin_4': 0.20841911435127258, 'redshifts/mse_bin_5': 0.07135169953107834, 'redshifts/nmad': 0.11230187118053436, 'redshifts/nmad_bin_0': 0.2141128033399582, 'redshifts/nmad_bin_1': 0.13444697856903076, 'redshifts/nmad_bin_2': 0.08833851665258408, 'redshifts/nmad_bin_3': 0.06772053986787796, 'redshifts/nmad_bin_4': 0.06206873059272766, 'redshifts/nmad_bin_5': 0.035008788108825684, 'redshifts/outlier_fraction': 0.3266335129737854, 'redshifts/outlier_fraction_bin_0': 0.489813894033432, 'redshifts/outlier_fraction_bin_1': 0.35668790340423584, 'redshifts/outlier_fraction_bin_2': 0.26030465960502625, 'redshifts/outlier_fraction_bin_3': 0.19011558592319489, 'redshifts/outlier_fraction_bin_4': 0.1856086105108261, 'redshifts/outlier_fraction_bin_5': 0.09144677221775055, 'redshifts/outlier_fraction_cata': 0.08874794840812683, 'redshifts/outlier_fraction_cata_bin_0': 0.13241951167583466, 'redshifts/outlier_fraction_cata_bin_1': 0.10097415000200272, 'redshifts/outlier_fraction_cata_bin_2': 0.0788530483841896, 'redshifts/outlier_fraction_cata_bin_3': 0.05500199273228645, 'redshifts/outlier_fraction_cata_bin_4': 0.05178211256861687, 'redshifts/outlier_fraction_cata_bin_5': 0.01580982655286789}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 685/1563 [1:03:09<1:39:59, 6.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43896.])\n", + "total num of pts: tensor([15924., 10688., 4470., 2513., 1490., 8811.])\n", + "{'redshifts/bias_abs': 0.07579629868268967, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04603748023509979, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023671649396419525, 'redshifts/bias': 0.004359842743724585, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': -2.226332617283333e-05, 'redshifts/mse': 0.31245264410972595, 'redshifts/mse_bin_0': 0.4414128363132477, 'redshifts/mse_bin_1': 0.36874404549598694, 'redshifts/mse_bin_2': 0.28729838132858276, 'redshifts/mse_bin_3': 0.20828299224376678, 'redshifts/mse_bin_4': 0.20801980793476105, 'redshifts/mse_bin_5': 0.07123606652021408, 'redshifts/nmad': 0.11230187118053436, 'redshifts/nmad_bin_0': 0.2141495794057846, 'redshifts/nmad_bin_1': 0.13454504311084747, 'redshifts/nmad_bin_2': 0.08832237124443054, 'redshifts/nmad_bin_3': 0.0677204430103302, 'redshifts/nmad_bin_4': 0.06206873059272766, 'redshifts/nmad_bin_5': 0.035108041018247604, 'redshifts/outlier_fraction': 0.3267040252685547, 'redshifts/outlier_fraction_bin_0': 0.4898894727230072, 'redshifts/outlier_fraction_bin_1': 0.356942355632782, 'redshifts/outlier_fraction_bin_2': 0.2604026794433594, 'redshifts/outlier_fraction_bin_3': 0.19060882925987244, 'redshifts/outlier_fraction_bin_4': 0.1852349042892456, 'redshifts/outlier_fraction_bin_5': 0.09147656708955765, 'redshifts/outlier_fraction_cata': 0.08873245865106583, 'redshifts/outlier_fraction_cata_bin_0': 0.13237880170345306, 'redshifts/outlier_fraction_cata_bin_1': 0.1009543389081955, 'redshifts/outlier_fraction_cata_bin_2': 0.07897091656923294, 'redshifts/outlier_fraction_cata_bin_3': 0.0553123764693737, 'redshifts/outlier_fraction_cata_bin_4': 0.051677852869033813, 'redshifts/outlier_fraction_cata_bin_5': 0.015775734558701515}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 686/1563 [1:03:16<1:36:31, 6.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([43962.])\n", + "total num of pts: tensor([15946., 10705., 4474., 2515., 1492., 8830.])\n", + "{'redshifts/bias_abs': 0.07580768316984177, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04603748023509979, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004377124831080437, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 1.2033675034217595e-07, 'redshifts/mse': 0.3126223087310791, 'redshifts/mse_bin_0': 0.4419667422771454, 'redshifts/mse_bin_1': 0.36900827288627625, 'redshifts/mse_bin_2': 0.28708574175834656, 'redshifts/mse_bin_3': 0.20813459157943726, 'redshifts/mse_bin_4': 0.2077653557062149, 'redshifts/mse_bin_5': 0.0711010992527008, 'redshifts/nmad': 0.11229636520147324, 'redshifts/nmad_bin_0': 0.2142413705587387, 'redshifts/nmad_bin_1': 0.13468705117702484, 'redshifts/nmad_bin_2': 0.0883231833577156, 'redshifts/nmad_bin_3': 0.06772053986787796, 'redshifts/nmad_bin_4': 0.062161970883607864, 'redshifts/nmad_bin_5': 0.03508855029940605, 'redshifts/outlier_fraction': 0.326736718416214, 'redshifts/outlier_fraction_bin_0': 0.49002885818481445, 'redshifts/outlier_fraction_bin_1': 0.35712283849716187, 'redshifts/outlier_fraction_bin_2': 0.2603933811187744, 'redshifts/outlier_fraction_bin_3': 0.19045725464820862, 'redshifts/outlier_fraction_bin_4': 0.18498659133911133, 'redshifts/outlier_fraction_bin_5': 0.09139297902584076, 'redshifts/outlier_fraction_cata': 0.0888039693236351, 'redshifts/outlier_fraction_cata_bin_0': 0.13257242739200592, 'redshifts/outlier_fraction_cata_bin_1': 0.10107426345348358, 'redshifts/outlier_fraction_cata_bin_2': 0.07890031486749649, 'redshifts/outlier_fraction_cata_bin_3': 0.055268388241529465, 'redshifts/outlier_fraction_cata_bin_4': 0.051608577370643616, 'redshifts/outlier_fraction_cata_bin_5': 0.01574178971350193}\n", + "total num of pts: tensor([44017.])\n", + "total num of pts: tensor([15961., 10718., 4481., 2520., 1494., 8843.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 687/1563 [1:03:22<1:34:21, 6.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07577252388000488, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02367972768843174, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.005950242775725e-06, 'redshifts/mse': 0.31249698996543884, 'redshifts/mse_bin_0': 0.4419446885585785, 'redshifts/mse_bin_1': 0.3687146306037903, 'redshifts/mse_bin_2': 0.2873786389827728, 'redshifts/mse_bin_3': 0.20773807168006897, 'redshifts/mse_bin_4': 0.20758642256259918, 'redshifts/mse_bin_5': 0.07102382183074951, 'redshifts/nmad': 0.11226926743984222, 'redshifts/nmad_bin_0': 0.2142413705587387, 'redshifts/nmad_bin_1': 0.13451051712036133, 'redshifts/nmad_bin_2': 0.08849473297595978, 'redshifts/nmad_bin_3': 0.06766076385974884, 'redshifts/nmad_bin_4': 0.06211407482624054, 'redshifts/nmad_bin_5': 0.03510013967752457, 'redshifts/outlier_fraction': 0.32669195532798767, 'redshifts/outlier_fraction_bin_0': 0.4900068938732147, 'redshifts/outlier_fraction_bin_1': 0.3570628762245178, 'redshifts/outlier_fraction_bin_2': 0.26065611839294434, 'redshifts/outlier_fraction_bin_3': 0.19007936120033264, 'redshifts/outlier_fraction_bin_4': 0.18540829420089722, 'redshifts/outlier_fraction_bin_5': 0.09137170761823654, 'redshifts/outlier_fraction_cata': 0.08873844146728516, 'redshifts/outlier_fraction_cata_bin_0': 0.1325104981660843, 'redshifts/outlier_fraction_cata_bin_1': 0.1009516716003418, 'redshifts/outlier_fraction_cata_bin_2': 0.07900021970272064, 'redshifts/outlier_fraction_cata_bin_3': 0.05515873059630394, 'redshifts/outlier_fraction_cata_bin_4': 0.05153949186205864, 'redshifts/outlier_fraction_cata_bin_5': 0.015718648210167885}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 688/1563 [1:03:27<1:28:04, 6.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44090.])\n", + "total num of pts: tensor([15975., 10740., 4485., 2526., 1497., 8867.])\n", + "{'redshifts/bias_abs': 0.07572967559099197, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.046016477048397064, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023685313761234283, 'redshifts/bias': 0.004380732774734497, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.312337726354599, 'redshifts/mse_bin_0': 0.44195544719696045, 'redshifts/mse_bin_1': 0.3686872720718384, 'redshifts/mse_bin_2': 0.28714942932128906, 'redshifts/mse_bin_3': 0.20771288871765137, 'redshifts/mse_bin_4': 0.2071821689605713, 'redshifts/mse_bin_5': 0.07086481899023056, 'redshifts/nmad': 0.11222020536661148, 'redshifts/nmad_bin_0': 0.21425960958003998, 'redshifts/nmad_bin_1': 0.13458041846752167, 'redshifts/nmad_bin_2': 0.08862766623497009, 'redshifts/nmad_bin_3': 0.0677696168422699, 'redshifts/nmad_bin_4': 0.062161970883607864, 'redshifts/nmad_bin_5': 0.035097721964120865, 'redshifts/outlier_fraction': 0.32662734389305115, 'redshifts/outlier_fraction_bin_0': 0.48995304107666016, 'redshifts/outlier_fraction_bin_1': 0.35726258158683777, 'redshifts/outlier_fraction_bin_2': 0.26064661145210266, 'redshifts/outlier_fraction_bin_3': 0.1900237500667572, 'redshifts/outlier_fraction_bin_4': 0.18503673374652863, 'redshifts/outlier_fraction_bin_5': 0.09146272391080856, 'redshifts/outlier_fraction_cata': 0.08875028043985367, 'redshifts/outlier_fraction_cata_bin_0': 0.13264475762844086, 'redshifts/outlier_fraction_cata_bin_1': 0.10093110054731369, 'redshifts/outlier_fraction_cata_bin_2': 0.07892976701259613, 'redshifts/outlier_fraction_cata_bin_3': 0.05542359501123428, 'redshifts/outlier_fraction_cata_bin_4': 0.051436204463243484, 'redshifts/outlier_fraction_cata_bin_5': 0.01567610166966915}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 689/1563 [1:03:33<1:30:16, 6.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44163.])\n", + "total num of pts: tensor([15997., 10759., 4493., 2533., 1497., 8884.])\n", + "{'redshifts/bias_abs': 0.07572967559099197, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04603748023509979, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023689433932304382, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.31224218010902405, 'redshifts/mse_bin_0': 0.44201573729515076, 'redshifts/mse_bin_1': 0.3684763014316559, 'redshifts/mse_bin_2': 0.2869405746459961, 'redshifts/mse_bin_3': 0.20779448747634888, 'redshifts/mse_bin_4': 0.2071821689605713, 'redshifts/mse_bin_5': 0.07074494659900665, 'redshifts/nmad': 0.1121940091252327, 'redshifts/nmad_bin_0': 0.21427929401397705, 'redshifts/nmad_bin_1': 0.13463251292705536, 'redshifts/nmad_bin_2': 0.08867392688989639, 'redshifts/nmad_bin_3': 0.06785327941179276, 'redshifts/nmad_bin_4': 0.062161970883607864, 'redshifts/nmad_bin_5': 0.03513004630804062, 'redshifts/outlier_fraction': 0.3266308903694153, 'redshifts/outlier_fraction_bin_0': 0.49002939462661743, 'redshifts/outlier_fraction_bin_1': 0.35728228092193604, 'redshifts/outlier_fraction_bin_2': 0.2608502209186554, 'redshifts/outlier_fraction_bin_3': 0.19028820097446442, 'redshifts/outlier_fraction_bin_4': 0.18503673374652863, 'redshifts/outlier_fraction_bin_5': 0.09128770977258682, 'redshifts/outlier_fraction_cata': 0.08878473192453384, 'redshifts/outlier_fraction_cata_bin_0': 0.13271237909793854, 'redshifts/outlier_fraction_cata_bin_1': 0.10093875229358673, 'redshifts/outlier_fraction_cata_bin_2': 0.07901179790496826, 'redshifts/outlier_fraction_cata_bin_3': 0.05566521733999252, 'redshifts/outlier_fraction_cata_bin_4': 0.051436204463243484, 'redshifts/outlier_fraction_cata_bin_5': 0.015646105632185936}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 690/1563 [1:03:44<1:49:07, 7.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44221.])\n", + "total num of pts: tensor([16017., 10775., 4499., 2534., 1498., 8898.])\n", + "{'redshifts/bias_abs': 0.0757506713271141, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04603748023509979, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023689433932304382, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 1.554123628011439e-05, 'redshifts/mse': 0.31255385279655457, 'redshifts/mse_bin_0': 0.4421479105949402, 'redshifts/mse_bin_1': 0.36944103240966797, 'redshifts/mse_bin_2': 0.2866824269294739, 'redshifts/mse_bin_3': 0.20771841704845428, 'redshifts/mse_bin_4': 0.20708192884922028, 'redshifts/mse_bin_5': 0.07108457386493683, 'redshifts/nmad': 0.11223184317350388, 'redshifts/nmad_bin_0': 0.21430769562721252, 'redshifts/nmad_bin_1': 0.1348743885755539, 'redshifts/nmad_bin_2': 0.0885506197810173, 'redshifts/nmad_bin_3': 0.06784503161907196, 'redshifts/nmad_bin_4': 0.062161970883607864, 'redshifts/nmad_bin_5': 0.03513888642191887, 'redshifts/outlier_fraction': 0.32669997215270996, 'redshifts/outlier_fraction_bin_0': 0.4900418221950531, 'redshifts/outlier_fraction_bin_1': 0.3575870096683502, 'redshifts/outlier_fraction_bin_2': 0.26072460412979126, 'redshifts/outlier_fraction_bin_3': 0.19021309912204742, 'redshifts/outlier_fraction_bin_4': 0.18491321802139282, 'redshifts/outlier_fraction_bin_5': 0.09136884659528732, 'redshifts/outlier_fraction_cata': 0.08889441937208176, 'redshifts/outlier_fraction_cata_bin_0': 0.13273397088050842, 'redshifts/outlier_fraction_cata_bin_1': 0.10125289857387543, 'redshifts/outlier_fraction_cata_bin_2': 0.07890642434358597, 'redshifts/outlier_fraction_cata_bin_3': 0.05564325302839279, 'redshifts/outlier_fraction_cata_bin_4': 0.05140186846256256, 'redshifts/outlier_fraction_cata_bin_5': 0.015846258029341698}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 691/1563 [1:03:50<1:41:02, 6.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44299.])\n", + "total num of pts: tensor([16054., 10797., 4502., 2540., 1499., 8907.])\n", + "{'redshifts/bias_abs': 0.07577252388000488, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046060726046562195, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023709308356046677, 'redshifts/bias': 0.004391572438180447, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.3123983144760132, 'redshifts/mse_bin_0': 0.44178566336631775, 'redshifts/mse_bin_1': 0.36892127990722656, 'redshifts/mse_bin_2': 0.2873144745826721, 'redshifts/mse_bin_3': 0.20749090611934662, 'redshifts/mse_bin_4': 0.20694760978221893, 'redshifts/mse_bin_5': 0.07101846486330032, 'redshifts/nmad': 0.11225786805152893, 'redshifts/nmad_bin_0': 0.21426978707313538, 'redshifts/nmad_bin_1': 0.13479505479335785, 'redshifts/nmad_bin_2': 0.08862766623497009, 'redshifts/nmad_bin_3': 0.06800045818090439, 'redshifts/nmad_bin_4': 0.06232687085866928, 'redshifts/nmad_bin_5': 0.03515501692891121, 'redshifts/outlier_fraction': 0.32691481709480286, 'redshifts/outlier_fraction_bin_0': 0.4903450906276703, 'redshifts/outlier_fraction_bin_1': 0.3575993478298187, 'redshifts/outlier_fraction_bin_2': 0.26121723651885986, 'redshifts/outlier_fraction_bin_3': 0.1901574730873108, 'redshifts/outlier_fraction_bin_4': 0.18478986620903015, 'redshifts/outlier_fraction_bin_5': 0.09127652645111084, 'redshifts/outlier_fraction_cata': 0.08880561590194702, 'redshifts/outlier_fraction_cata_bin_0': 0.1325526386499405, 'redshifts/outlier_fraction_cata_bin_1': 0.10104658454656601, 'redshifts/outlier_fraction_cata_bin_2': 0.07907596975564957, 'redshifts/outlier_fraction_cata_bin_3': 0.05551180988550186, 'redshifts/outlier_fraction_cata_bin_4': 0.05136757716536522, 'redshifts/outlier_fraction_cata_bin_5': 0.01583024673163891}\n", + "total num of pts: tensor([44368.])\n", + "total num of pts: tensor([16074., 10811., 4510., 2542., 1502., 8929.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 692/1563 [1:03:56<1:40:55, 6.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0757695883512497, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004402024205774069, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 3.905069752363488e-05, 'redshifts/mse': 0.31218400597572327, 'redshifts/mse_bin_0': 0.4416002631187439, 'redshifts/mse_bin_1': 0.36870861053466797, 'redshifts/mse_bin_2': 0.28712889552116394, 'redshifts/mse_bin_3': 0.20734530687332153, 'redshifts/mse_bin_4': 0.20751802623271942, 'redshifts/mse_bin_5': 0.0708816647529602, 'redshifts/nmad': 0.11225944757461548, 'redshifts/nmad_bin_0': 0.21423761546611786, 'redshifts/nmad_bin_1': 0.13488350808620453, 'redshifts/nmad_bin_2': 0.08866387605667114, 'redshifts/nmad_bin_3': 0.06826891750097275, 'redshifts/nmad_bin_4': 0.06243882328271866, 'redshifts/nmad_bin_5': 0.03517569229006767, 'redshifts/outlier_fraction': 0.32690227031707764, 'redshifts/outlier_fraction_bin_0': 0.49035710096359253, 'redshifts/outlier_fraction_bin_1': 0.3577837347984314, 'redshifts/outlier_fraction_bin_2': 0.2611973285675049, 'redshifts/outlier_fraction_bin_3': 0.19000786542892456, 'redshifts/outlier_fraction_bin_4': 0.18508654832839966, 'redshifts/outlier_fraction_bin_5': 0.09127561748027802, 'redshifts/outlier_fraction_cata': 0.08873512595891953, 'redshifts/outlier_fraction_cata_bin_0': 0.1324499249458313, 'redshifts/outlier_fraction_cata_bin_1': 0.10091573745012283, 'redshifts/outlier_fraction_cata_bin_2': 0.07915742695331573, 'redshifts/outlier_fraction_cata_bin_3': 0.055468134582042694, 'redshifts/outlier_fraction_cata_bin_4': 0.051930759102106094, 'redshifts/outlier_fraction_cata_bin_5': 0.015791242942214012}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 693/1563 [1:04:01<1:31:03, 6.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44442.])\n", + "total num of pts: tensor([16107., 10824., 4518., 2545., 1503., 8945.])\n", + "{'redshifts/bias_abs': 0.07579158991575241, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.09146305918693542, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004393754061311483, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.3118906319141388, 'redshifts/mse_bin_0': 0.441064715385437, 'redshifts/mse_bin_1': 0.36845704913139343, 'redshifts/mse_bin_2': 0.28668349981307983, 'redshifts/mse_bin_3': 0.2071254700422287, 'redshifts/mse_bin_4': 0.20738770067691803, 'redshifts/mse_bin_5': 0.070943683385849, 'redshifts/nmad': 0.11228623986244202, 'redshifts/nmad_bin_0': 0.2142328917980194, 'redshifts/nmad_bin_1': 0.13498851656913757, 'redshifts/nmad_bin_2': 0.08863693475723267, 'redshifts/nmad_bin_3': 0.06846971064805984, 'redshifts/nmad_bin_4': 0.06248125433921814, 'redshifts/nmad_bin_5': 0.0351802222430706, 'redshifts/outlier_fraction': 0.32696548104286194, 'redshifts/outlier_fraction_bin_0': 0.4903458058834076, 'redshifts/outlier_fraction_bin_1': 0.3578159511089325, 'redshifts/outlier_fraction_bin_2': 0.26117751002311707, 'redshifts/outlier_fraction_bin_3': 0.18978388607501984, 'redshifts/outlier_fraction_bin_4': 0.1849634051322937, 'redshifts/outlier_fraction_bin_5': 0.0915595293045044, 'redshifts/outlier_fraction_cata': 0.08863237500190735, 'redshifts/outlier_fraction_cata_bin_0': 0.1322406381368637, 'redshifts/outlier_fraction_cata_bin_1': 0.10079453140497208, 'redshifts/outlier_fraction_cata_bin_2': 0.0790172666311264, 'redshifts/outlier_fraction_cata_bin_3': 0.05540275201201439, 'redshifts/outlier_fraction_cata_bin_4': 0.05189620703458786, 'redshifts/outlier_fraction_cata_bin_5': 0.015874790027737617}\n", + "total num of pts: tensor([44526.])\n", + "total num of pts: tensor([16129., 10851., 4525., 2552., 1507., 8962.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 694/1563 [1:04:07<1:29:13, 6.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07579158991575241, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004389310721307993, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.3122241497039795, 'redshifts/mse_bin_0': 0.4410350024700165, 'redshifts/mse_bin_1': 0.36922991275787354, 'redshifts/mse_bin_2': 0.28632017970085144, 'redshifts/mse_bin_3': 0.20973332226276398, 'redshifts/mse_bin_4': 0.210045725107193, 'redshifts/mse_bin_5': 0.07082998752593994, 'redshifts/nmad': 0.11229567229747772, 'redshifts/nmad_bin_0': 0.21413753926753998, 'redshifts/nmad_bin_1': 0.13513897359371185, 'redshifts/nmad_bin_2': 0.08866466581821442, 'redshifts/nmad_bin_3': 0.06848834455013275, 'redshifts/nmad_bin_4': 0.0631498247385025, 'redshifts/nmad_bin_5': 0.035179976373910904, 'redshifts/outlier_fraction': 0.3269101083278656, 'redshifts/outlier_fraction_bin_0': 0.49004897475242615, 'redshifts/outlier_fraction_bin_1': 0.3580315113067627, 'redshifts/outlier_fraction_bin_2': 0.261215478181839, 'redshifts/outlier_fraction_bin_3': 0.190047025680542, 'redshifts/outlier_fraction_bin_4': 0.18579959869384766, 'redshifts/outlier_fraction_bin_5': 0.09149743616580963, 'redshifts/outlier_fraction_cata': 0.08866729587316513, 'redshifts/outlier_fraction_cata_bin_0': 0.13212226331233978, 'redshifts/outlier_fraction_cata_bin_1': 0.10100451856851578, 'redshifts/outlier_fraction_cata_bin_2': 0.07889502495527267, 'redshifts/outlier_fraction_cata_bin_3': 0.05603448301553726, 'redshifts/outlier_fraction_cata_bin_4': 0.05242203176021576, 'redshifts/outlier_fraction_cata_bin_5': 0.01584467664361}\n", + "total num of pts: tensor([44604.])\n", + "total num of pts: tensor([16158., 10868., 4527., 2555., 1511., 8985.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 44%|████▍ | 695/1563 [1:04:13<1:28:18, 6.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0757695883512497, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.0043938555754721165, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.31195512413978577, 'redshifts/mse_bin_0': 0.4407356083393097, 'redshifts/mse_bin_1': 0.368902325630188, 'redshifts/mse_bin_2': 0.2862861752510071, 'redshifts/mse_bin_3': 0.20949459075927734, 'redshifts/mse_bin_4': 0.20949454605579376, 'redshifts/mse_bin_5': 0.07078641653060913, 'redshifts/nmad': 0.11226122826337814, 'redshifts/nmad_bin_0': 0.21413159370422363, 'redshifts/nmad_bin_1': 0.13510547578334808, 'redshifts/nmad_bin_2': 0.08866466581821442, 'redshifts/nmad_bin_3': 0.06865473836660385, 'redshifts/nmad_bin_4': 0.06232140213251114, 'redshifts/nmad_bin_5': 0.035177625715732574, 'redshifts/outlier_fraction': 0.3268989324569702, 'redshifts/outlier_fraction_bin_0': 0.4900977909564972, 'redshifts/outlier_fraction_bin_1': 0.3580235540866852, 'redshifts/outlier_fraction_bin_2': 0.26132094860076904, 'redshifts/outlier_fraction_bin_3': 0.18982388079166412, 'redshifts/outlier_fraction_bin_4': 0.18530774116516113, 'redshifts/outlier_fraction_bin_5': 0.09159710258245468, 'redshifts/outlier_fraction_cata': 0.08853466063737869, 'redshifts/outlier_fraction_cata_bin_0': 0.13194702565670013, 'redshifts/outlier_fraction_cata_bin_1': 0.10084652155637741, 'redshifts/outlier_fraction_cata_bin_2': 0.07886017113924026, 'redshifts/outlier_fraction_cata_bin_3': 0.055968690663576126, 'redshifts/outlier_fraction_cata_bin_4': 0.052283257246017456, 'redshifts/outlier_fraction_cata_bin_5': 0.015804117545485497}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▍ | 696/1563 [1:04:22<1:41:05, 7.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44677.])\n", + "total num of pts: tensor([16177., 10890., 4535., 2559., 1517., 8999.])\n", + "{'redshifts/bias_abs': 0.0757506713271141, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004391572438180447, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.002685701474547386, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.3122350871562958, 'redshifts/mse_bin_0': 0.44095057249069214, 'redshifts/mse_bin_1': 0.3698643147945404, 'redshifts/mse_bin_2': 0.2859596014022827, 'redshifts/mse_bin_3': 0.2091926634311676, 'redshifts/mse_bin_4': 0.20870159566402435, 'redshifts/mse_bin_5': 0.07111071795225143, 'redshifts/nmad': 0.1122516319155693, 'redshifts/nmad_bin_0': 0.21413184702396393, 'redshifts/nmad_bin_1': 0.13500498235225677, 'redshifts/nmad_bin_2': 0.08864815533161163, 'redshifts/nmad_bin_3': 0.06858136504888535, 'redshifts/nmad_bin_4': 0.062369298189878464, 'redshifts/nmad_bin_5': 0.035172585397958755, 'redshifts/outlier_fraction': 0.3267676830291748, 'redshifts/outlier_fraction_bin_0': 0.49007850885391235, 'redshifts/outlier_fraction_bin_1': 0.3578512370586395, 'redshifts/outlier_fraction_bin_2': 0.2613009810447693, 'redshifts/outlier_fraction_bin_3': 0.18952715396881104, 'redshifts/outlier_fraction_bin_4': 0.18457481265068054, 'redshifts/outlier_fraction_bin_5': 0.09156572818756104, 'redshifts/outlier_fraction_cata': 0.08854667842388153, 'redshifts/outlier_fraction_cata_bin_0': 0.13203930854797363, 'redshifts/outlier_fraction_cata_bin_1': 0.1008264496922493, 'redshifts/outlier_fraction_cata_bin_2': 0.0787210613489151, 'redshifts/outlier_fraction_cata_bin_3': 0.05588120222091675, 'redshifts/outlier_fraction_cata_bin_4': 0.052076466381549835, 'redshifts/outlier_fraction_cata_bin_5': 0.015890654176473618}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▍ | 697/1563 [1:04:33<1:58:45, 8.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44753.])\n", + "total num of pts: tensor([16193., 10912., 4545., 2564., 1519., 9020.])\n", + "{'redshifts/bias_abs': 0.07566047459840775, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.02371799759566784, 'redshifts/bias': 0.004402024205774069, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 4.273739250493236e-05, 'redshifts/mse': 0.31193807721138, 'redshifts/mse_bin_0': 0.4409150779247284, 'redshifts/mse_bin_1': 0.36935585737228394, 'redshifts/mse_bin_2': 0.2854827046394348, 'redshifts/mse_bin_3': 0.20881566405296326, 'redshifts/mse_bin_4': 0.2087058424949646, 'redshifts/mse_bin_5': 0.0709645077586174, 'redshifts/nmad': 0.11217664927244186, 'redshifts/nmad_bin_0': 0.21413104236125946, 'redshifts/nmad_bin_1': 0.1349806934595108, 'redshifts/nmad_bin_2': 0.08863693475723267, 'redshifts/nmad_bin_3': 0.06860183924436569, 'redshifts/nmad_bin_4': 0.06248125433921814, 'redshifts/nmad_bin_5': 0.03514839708805084, 'redshifts/outlier_fraction': 0.3265926241874695, 'redshifts/outlier_fraction_bin_0': 0.4900883138179779, 'redshifts/outlier_fraction_bin_1': 0.3576796054840088, 'redshifts/outlier_fraction_bin_2': 0.2609460949897766, 'redshifts/outlier_fraction_bin_3': 0.18915756046772003, 'redshifts/outlier_fraction_bin_4': 0.18499012291431427, 'redshifts/outlier_fraction_bin_5': 0.09146341681480408, 'redshifts/outlier_fraction_cata': 0.08846334367990494, 'redshifts/outlier_fraction_cata_bin_0': 0.1320941150188446, 'redshifts/outlier_fraction_cata_bin_1': 0.10062316805124283, 'redshifts/outlier_fraction_cata_bin_2': 0.07854785770177841, 'redshifts/outlier_fraction_cata_bin_3': 0.05577223002910614, 'redshifts/outlier_fraction_cata_bin_4': 0.052007898688316345, 'redshifts/outlier_fraction_cata_bin_5': 0.015853658318519592}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▍ | 698/1563 [1:04:39<1:47:54, 7.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44827.])\n", + "total num of pts: tensor([16211., 10931., 4554., 2567., 1521., 9043.])\n", + "{'redshifts/bias_abs': 0.07566921412944794, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004393754061311483, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.0028002567123621702, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 4.273739250493236e-05, 'redshifts/mse': 0.3119792938232422, 'redshifts/mse_bin_0': 0.44092682003974915, 'redshifts/mse_bin_1': 0.36950600147247314, 'redshifts/mse_bin_2': 0.28550881147384644, 'redshifts/mse_bin_3': 0.20877589285373688, 'redshifts/mse_bin_4': 0.21131865680217743, 'redshifts/mse_bin_5': 0.07084362208843231, 'redshifts/nmad': 0.11216955631971359, 'redshifts/nmad_bin_0': 0.2141128033399582, 'redshifts/nmad_bin_1': 0.13490983843803406, 'redshifts/nmad_bin_2': 0.08849713206291199, 'redshifts/nmad_bin_3': 0.06876514106988907, 'redshifts/nmad_bin_4': 0.0631498247385025, 'redshifts/nmad_bin_5': 0.03517022728919983, 'redshifts/outlier_fraction': 0.32656657695770264, 'redshifts/outlier_fraction_bin_0': 0.49003762006759644, 'redshifts/outlier_fraction_bin_1': 0.3576982915401459, 'redshifts/outlier_fraction_bin_2': 0.26108914613723755, 'redshifts/outlier_fraction_bin_3': 0.18932606279850006, 'redshifts/outlier_fraction_bin_4': 0.18540434539318085, 'redshifts/outlier_fraction_bin_5': 0.09156253188848495, 'redshifts/outlier_fraction_cata': 0.08845115453004837, 'redshifts/outlier_fraction_cata_bin_0': 0.13207080960273743, 'redshifts/outlier_fraction_cata_bin_1': 0.1006312295794487, 'redshifts/outlier_fraction_cata_bin_2': 0.07861220836639404, 'redshifts/outlier_fraction_cata_bin_3': 0.05570705235004425, 'redshifts/outlier_fraction_cata_bin_4': 0.05259697511792183, 'redshifts/outlier_fraction_cata_bin_5': 0.01581333577632904}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▍ | 699/1563 [1:04:46<1:45:02, 7.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44900.])\n", + "total num of pts: tensor([16235., 10947., 4559., 2574., 1523., 9062.])\n", + "{'redshifts/bias_abs': 0.07564802467823029, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023709308356046677, 'redshifts/bias': 0.004380732774734497, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.0028002567123621702, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 3.905069752363488e-05, 'redshifts/mse': 0.31182020902633667, 'redshifts/mse_bin_0': 0.4406867027282715, 'redshifts/mse_bin_1': 0.3696548342704773, 'redshifts/mse_bin_2': 0.2854253053665161, 'redshifts/mse_bin_3': 0.20826919376850128, 'redshifts/mse_bin_4': 0.21104304492473602, 'redshifts/mse_bin_5': 0.07071693241596222, 'redshifts/nmad': 0.11213786154985428, 'redshifts/nmad_bin_0': 0.21407091617584229, 'redshifts/nmad_bin_1': 0.13495482504367828, 'redshifts/nmad_bin_2': 0.08852457255125046, 'redshifts/nmad_bin_3': 0.06872250884771347, 'redshifts/nmad_bin_4': 0.062369298189878464, 'redshifts/nmad_bin_5': 0.03514375910162926, 'redshifts/outlier_fraction': 0.3264142572879791, 'redshifts/outlier_fraction_bin_0': 0.4899291694164276, 'redshifts/outlier_fraction_bin_1': 0.35763221979141235, 'redshifts/outlier_fraction_bin_2': 0.26102215051651, 'redshifts/outlier_fraction_bin_3': 0.18881118297576904, 'redshifts/outlier_fraction_bin_4': 0.18516086041927338, 'redshifts/outlier_fraction_bin_5': 0.09148091077804565, 'redshifts/outlier_fraction_cata': 0.08837416768074036, 'redshifts/outlier_fraction_cata_bin_0': 0.13199876248836517, 'redshifts/outlier_fraction_cata_bin_1': 0.10057549923658371, 'redshifts/outlier_fraction_cata_bin_2': 0.07852599024772644, 'redshifts/outlier_fraction_cata_bin_3': 0.0555555559694767, 'redshifts/outlier_fraction_cata_bin_4': 0.05252790451049805, 'redshifts/outlier_fraction_cata_bin_5': 0.01578018069267273}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▍ | 700/1563 [1:04:51<1:33:47, 6.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([44973.])\n", + "total num of pts: tensor([16258., 10963., 4562., 2580., 1525., 9085.])\n", + "{'redshifts/bias_abs': 0.07563052326440811, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.02371799759566784, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3115737736225128, 'redshifts/mse_bin_0': 0.44040921330451965, 'redshifts/mse_bin_1': 0.3695700466632843, 'redshifts/mse_bin_2': 0.2853216230869293, 'redshifts/mse_bin_3': 0.2078348845243454, 'redshifts/mse_bin_4': 0.2107783555984497, 'redshifts/mse_bin_5': 0.07059714943170547, 'redshifts/nmad': 0.11206671595573425, 'redshifts/nmad_bin_0': 0.21399937570095062, 'redshifts/nmad_bin_1': 0.13487260043621063, 'redshifts/nmad_bin_2': 0.08867940306663513, 'redshifts/nmad_bin_3': 0.06860183924436569, 'redshifts/nmad_bin_4': 0.06232140213251114, 'redshifts/nmad_bin_5': 0.0351555272936821, 'redshifts/outlier_fraction': 0.3263513743877411, 'redshifts/outlier_fraction_bin_0': 0.4897896349430084, 'redshifts/outlier_fraction_bin_1': 0.3576575815677643, 'redshifts/outlier_fraction_bin_2': 0.26106971502304077, 'redshifts/outlier_fraction_bin_3': 0.1887596845626831, 'redshifts/outlier_fraction_bin_4': 0.18491803109645844, 'redshifts/outlier_fraction_bin_5': 0.09168960154056549, 'redshifts/outlier_fraction_cata': 0.08831965923309326, 'redshifts/outlier_fraction_cata_bin_0': 0.13193504512310028, 'redshifts/outlier_fraction_cata_bin_1': 0.10061115026473999, 'redshifts/outlier_fraction_cata_bin_2': 0.07847435027360916, 'redshifts/outlier_fraction_cata_bin_3': 0.055426355451345444, 'redshifts/outlier_fraction_cata_bin_4': 0.05245901644229889, 'redshifts/outlier_fraction_cata_bin_5': 0.015740230679512024}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▍ | 701/1563 [1:04:56<1:28:40, 6.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45040.])\n", + "total num of pts: tensor([16278., 10977., 4576., 2581., 1527., 9101.])\n", + "{'redshifts/bias_abs': 0.07563052326440811, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004380732774734497, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0028002567123621702, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.31147709488868713, 'redshifts/mse_bin_0': 0.44033944606781006, 'redshifts/mse_bin_1': 0.36941778659820557, 'redshifts/mse_bin_2': 0.2845301628112793, 'redshifts/mse_bin_3': 0.2077544778585434, 'redshifts/mse_bin_4': 0.21051281690597534, 'redshifts/mse_bin_5': 0.07101777195930481, 'redshifts/nmad': 0.11204516142606735, 'redshifts/nmad_bin_0': 0.21400436758995056, 'redshifts/nmad_bin_1': 0.13489997386932373, 'redshifts/nmad_bin_2': 0.08847831934690475, 'redshifts/nmad_bin_3': 0.06860183924436569, 'redshifts/nmad_bin_4': 0.06225193291902542, 'redshifts/nmad_bin_5': 0.0351802222430706, 'redshifts/outlier_fraction': 0.3262655436992645, 'redshifts/outlier_fraction_bin_0': 0.48980218172073364, 'redshifts/outlier_fraction_bin_1': 0.35756582021713257, 'redshifts/outlier_fraction_bin_2': 0.2604895234107971, 'redshifts/outlier_fraction_bin_3': 0.1886865496635437, 'redshifts/outlier_fraction_bin_4': 0.18467582762241364, 'redshifts/outlier_fraction_bin_5': 0.09185803681612015, 'redshifts/outlier_fraction_cata': 0.0882548838853836, 'redshifts/outlier_fraction_cata_bin_0': 0.13189581036567688, 'redshifts/outlier_fraction_cata_bin_1': 0.10048282891511917, 'redshifts/outlier_fraction_cata_bin_2': 0.07823426276445389, 'redshifts/outlier_fraction_cata_bin_3': 0.05540488287806511, 'redshifts/outlier_fraction_cata_bin_4': 0.05239030718803406, 'redshifts/outlier_fraction_cata_bin_5': 0.015822436660528183}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▍ | 702/1563 [1:05:02<1:28:11, 6.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45117.])\n", + "total num of pts: tensor([16299., 10999., 4582., 2584., 1529., 9124.])\n", + "{'redshifts/bias_abs': 0.0756223276257515, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004363330081105232, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0028002567123621702, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.3115726709365845, 'redshifts/mse_bin_0': 0.44055354595184326, 'redshifts/mse_bin_1': 0.36972576379776, 'redshifts/mse_bin_2': 0.2842044532299042, 'redshifts/mse_bin_3': 0.20751871168613434, 'redshifts/mse_bin_4': 0.21025292575359344, 'redshifts/mse_bin_5': 0.07125438749790192, 'redshifts/nmad': 0.1120193600654602, 'redshifts/nmad_bin_0': 0.2140026092529297, 'redshifts/nmad_bin_1': 0.135120689868927, 'redshifts/nmad_bin_2': 0.08847831934690475, 'redshifts/nmad_bin_3': 0.06838240474462509, 'redshifts/nmad_bin_4': 0.062292758375406265, 'redshifts/nmad_bin_5': 0.0351802222430706, 'redshifts/outlier_fraction': 0.32630714774131775, 'redshifts/outlier_fraction_bin_0': 0.48984599113464355, 'redshifts/outlier_fraction_bin_1': 0.3579416275024414, 'redshifts/outlier_fraction_bin_2': 0.26036664843559265, 'redshifts/outlier_fraction_bin_3': 0.18846748769283295, 'redshifts/outlier_fraction_bin_4': 0.18443426489830017, 'redshifts/outlier_fraction_bin_5': 0.0919552817940712, 'redshifts/outlier_fraction_cata': 0.08825941383838654, 'redshifts/outlier_fraction_cata_bin_0': 0.13197128474712372, 'redshifts/outlier_fraction_cata_bin_1': 0.10046368092298508, 'redshifts/outlier_fraction_cata_bin_2': 0.07813181728124619, 'redshifts/outlier_fraction_cata_bin_3': 0.05534055829048157, 'redshifts/outlier_fraction_cata_bin_4': 0.05232178047299385, 'redshifts/outlier_fraction_cata_bin_5': 0.0158921517431736}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▍ | 703/1563 [1:05:07<1:21:52, 5.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45179.])\n", + "total num of pts: tensor([16323., 11011., 4587., 2589., 1530., 9139.])\n", + "{'redshifts/bias_abs': 0.07561390101909637, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004362338688224554, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3112732470035553, 'redshifts/mse_bin_0': 0.44015106558799744, 'redshifts/mse_bin_1': 0.369439035654068, 'redshifts/mse_bin_2': 0.28391778469085693, 'redshifts/mse_bin_3': 0.2071606069803238, 'redshifts/mse_bin_4': 0.21018031239509583, 'redshifts/mse_bin_5': 0.07115815579891205, 'redshifts/nmad': 0.11200711131095886, 'redshifts/nmad_bin_0': 0.2139175683259964, 'redshifts/nmad_bin_1': 0.13500292599201202, 'redshifts/nmad_bin_2': 0.08847156912088394, 'redshifts/nmad_bin_3': 0.06860183924436569, 'redshifts/nmad_bin_4': 0.062292758375406265, 'redshifts/nmad_bin_5': 0.03518042340874672, 'redshifts/outlier_fraction': 0.3261028230190277, 'redshifts/outlier_fraction_bin_0': 0.48949334025382996, 'redshifts/outlier_fraction_bin_1': 0.35773319005966187, 'redshifts/outlier_fraction_bin_2': 0.26008284091949463, 'redshifts/outlier_fraction_bin_3': 0.18848976492881775, 'redshifts/outlier_fraction_bin_4': 0.18496732413768768, 'redshifts/outlier_fraction_bin_5': 0.09191377460956573, 'redshifts/outlier_fraction_cata': 0.0881604254245758, 'redshifts/outlier_fraction_cata_bin_0': 0.13183851540088654, 'redshifts/outlier_fraction_cata_bin_1': 0.10035419464111328, 'redshifts/outlier_fraction_cata_bin_2': 0.07804665714502335, 'redshifts/outlier_fraction_cata_bin_3': 0.055233679711818695, 'redshifts/outlier_fraction_cata_bin_4': 0.05228758230805397, 'redshifts/outlier_fraction_cata_bin_5': 0.015866069123148918}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▌ | 704/1563 [1:05:21<1:57:25, 8.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45252.])\n", + "total num of pts: tensor([16351., 11025., 4596., 2593., 1531., 9156.])\n", + "{'redshifts/bias_abs': 0.07559908926486969, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004350179340690374, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 3.905069752363488e-05, 'redshifts/mse': 0.3111151456832886, 'redshifts/mse_bin_0': 0.44010087847709656, 'redshifts/mse_bin_1': 0.36918067932128906, 'redshifts/mse_bin_2': 0.28367990255355835, 'redshifts/mse_bin_3': 0.20684245228767395, 'redshifts/mse_bin_4': 0.21004316210746765, 'redshifts/mse_bin_5': 0.0710560604929924, 'redshifts/nmad': 0.11198347061872482, 'redshifts/nmad_bin_0': 0.21386894583702087, 'redshifts/nmad_bin_1': 0.13496562838554382, 'redshifts/nmad_bin_2': 0.08851362764835358, 'redshifts/nmad_bin_3': 0.06838240474462509, 'redshifts/nmad_bin_4': 0.06225193291902542, 'redshifts/nmad_bin_5': 0.03520931676030159, 'redshifts/outlier_fraction': 0.3259524405002594, 'redshifts/outlier_fraction_bin_0': 0.4894501864910126, 'redshifts/outlier_fraction_bin_1': 0.3574603199958801, 'redshifts/outlier_fraction_bin_2': 0.25979113578796387, 'redshifts/outlier_fraction_bin_3': 0.1881989985704422, 'redshifts/outlier_fraction_bin_4': 0.18484650552272797, 'redshifts/outlier_fraction_bin_5': 0.0918523371219635, 'redshifts/outlier_fraction_cata': 0.08815079927444458, 'redshifts/outlier_fraction_cata_bin_0': 0.13185738027095795, 'redshifts/outlier_fraction_cata_bin_1': 0.10031746327877045, 'redshifts/outlier_fraction_cata_bin_2': 0.07811140269041061, 'redshifts/outlier_fraction_cata_bin_3': 0.055148474872112274, 'redshifts/outlier_fraction_cata_bin_4': 0.05225342884659767, 'redshifts/outlier_fraction_cata_bin_5': 0.01583660952746868}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▌ | 705/1563 [1:05:25<1:39:02, 6.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45330.])\n", + "total num of pts: tensor([16367., 11044., 4605., 2600., 1532., 9182.])\n", + "{'redshifts/bias_abs': 0.07551401108503342, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004350179340690374, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.3110155463218689, 'redshifts/mse_bin_0': 0.44005051255226135, 'redshifts/mse_bin_1': 0.369401752948761, 'redshifts/mse_bin_2': 0.2831345796585083, 'redshifts/mse_bin_3': 0.20778736472129822, 'redshifts/mse_bin_4': 0.20990653336048126, 'redshifts/mse_bin_5': 0.07086934894323349, 'redshifts/nmad': 0.11185506731271744, 'redshifts/nmad_bin_0': 0.21378572285175323, 'redshifts/nmad_bin_1': 0.13487890362739563, 'redshifts/nmad_bin_2': 0.08830152451992035, 'redshifts/nmad_bin_3': 0.06834385544061661, 'redshifts/nmad_bin_4': 0.06224741414189339, 'redshifts/nmad_bin_5': 0.03517487272620201, 'redshifts/outlier_fraction': 0.32570043206214905, 'redshifts/outlier_fraction_bin_0': 0.4892772138118744, 'redshifts/outlier_fraction_bin_1': 0.35756972432136536, 'redshifts/outlier_fraction_bin_2': 0.2592833936214447, 'redshifts/outlier_fraction_bin_3': 0.1880769282579422, 'redshifts/outlier_fraction_bin_4': 0.18472585082054138, 'redshifts/outlier_fraction_bin_5': 0.09159224480390549, 'redshifts/outlier_fraction_cata': 0.08815354108810425, 'redshifts/outlier_fraction_cata_bin_0': 0.13185067474842072, 'redshifts/outlier_fraction_cata_bin_1': 0.10050706565380096, 'redshifts/outlier_fraction_cata_bin_2': 0.07795874029397964, 'redshifts/outlier_fraction_cata_bin_3': 0.05538461357355118, 'redshifts/outlier_fraction_cata_bin_4': 0.052219320088624954, 'redshifts/outlier_fraction_cata_bin_5': 0.015791766345500946}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▌ | 706/1563 [1:05:31<1:37:57, 6.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45399.])\n", + "total num of pts: tensor([16387., 11062., 4611., 2602., 1538., 9199.])\n", + "{'redshifts/bias_abs': 0.07553458213806152, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.002685701474547386, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3109663426876068, 'redshifts/mse_bin_0': 0.440123587846756, 'redshifts/mse_bin_1': 0.3694244921207428, 'redshifts/mse_bin_2': 0.2828775942325592, 'redshifts/mse_bin_3': 0.20807142555713654, 'redshifts/mse_bin_4': 0.2090912014245987, 'redshifts/mse_bin_5': 0.07080933451652527, 'redshifts/nmad': 0.11187231540679932, 'redshifts/nmad_bin_0': 0.21391238272190094, 'redshifts/nmad_bin_1': 0.13493023812770844, 'redshifts/nmad_bin_2': 0.08833808451890945, 'redshifts/nmad_bin_3': 0.06834385544061661, 'redshifts/nmad_bin_4': 0.062018077820539474, 'redshifts/nmad_bin_5': 0.03518042340874672, 'redshifts/outlier_fraction': 0.3258441686630249, 'redshifts/outlier_fraction_bin_0': 0.4897174537181854, 'redshifts/outlier_fraction_bin_1': 0.35743987560272217, 'redshifts/outlier_fraction_bin_2': 0.2595966160297394, 'redshifts/outlier_fraction_bin_3': 0.18831667304039001, 'redshifts/outlier_fraction_bin_4': 0.18400520086288452, 'redshifts/outlier_fraction_bin_5': 0.09174910187721252, 'redshifts/outlier_fraction_cata': 0.0881296917796135, 'redshifts/outlier_fraction_cata_bin_0': 0.13181179761886597, 'redshifts/outlier_fraction_cata_bin_1': 0.10052432119846344, 'redshifts/outlier_fraction_cata_bin_2': 0.07785730063915253, 'redshifts/outlier_fraction_cata_bin_3': 0.05572636425495148, 'redshifts/outlier_fraction_cata_bin_4': 0.05201560631394386, 'redshifts/outlier_fraction_cata_bin_5': 0.015762582421302795}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▌ | 707/1563 [1:05:40<1:46:56, 7.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45467.])\n", + "total num of pts: tensor([16413., 11077., 4619., 2605., 1540., 9213.])\n", + "{'redshifts/bias_abs': 0.07555745542049408, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004351495299488306, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.011330720037221909, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 1.554123628011439e-05, 'redshifts/mse': 0.3109014928340912, 'redshifts/mse_bin_0': 0.4400502145290375, 'redshifts/mse_bin_1': 0.36922723054885864, 'redshifts/mse_bin_2': 0.2827799320220947, 'redshifts/mse_bin_3': 0.2086285948753357, 'redshifts/mse_bin_4': 0.20882204174995422, 'redshifts/mse_bin_5': 0.07077877223491669, 'redshifts/nmad': 0.11193240433931351, 'redshifts/nmad_bin_0': 0.21391306817531586, 'redshifts/nmad_bin_1': 0.13487641513347626, 'redshifts/nmad_bin_2': 0.0885506197810173, 'redshifts/nmad_bin_3': 0.06838240474462509, 'redshifts/nmad_bin_4': 0.06157592684030533, 'redshifts/nmad_bin_5': 0.03518734499812126, 'redshifts/outlier_fraction': 0.32588469982147217, 'redshifts/outlier_fraction_bin_0': 0.4897337555885315, 'redshifts/outlier_fraction_bin_1': 0.35740724205970764, 'redshifts/outlier_fraction_bin_2': 0.25979650020599365, 'redshifts/outlier_fraction_bin_3': 0.18848368525505066, 'redshifts/outlier_fraction_bin_4': 0.1837662309408188, 'redshifts/outlier_fraction_bin_5': 0.09182676672935486, 'redshifts/outlier_fraction_cata': 0.08812985569238663, 'redshifts/outlier_fraction_cata_bin_0': 0.13184671103954315, 'redshifts/outlier_fraction_cata_bin_1': 0.10047847032546997, 'redshifts/outlier_fraction_cata_bin_2': 0.0777224525809288, 'redshifts/outlier_fraction_cata_bin_3': 0.05604606494307518, 'redshifts/outlier_fraction_cata_bin_4': 0.051948051899671555, 'redshifts/outlier_fraction_cata_bin_5': 0.015738630667328835}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▌ | 708/1563 [1:05:48<1:48:31, 7.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45532.])\n", + "total num of pts: tensor([16437., 11091., 4625., 2608., 1541., 9230.])\n", + "{'redshifts/bias_abs': 0.07553458213806152, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004334535915404558, 'redshifts/bias_bin_0': 0.029075583443045616, 'redshifts/bias_bin_1': 0.011330720037221909, 'redshifts/bias_bin_2': -0.002685701474547386, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 1.554123628011439e-05, 'redshifts/mse': 0.3108021020889282, 'redshifts/mse_bin_0': 0.4396887719631195, 'redshifts/mse_bin_1': 0.3687799870967865, 'redshifts/mse_bin_2': 0.28258267045021057, 'redshifts/mse_bin_3': 0.2087365835905075, 'redshifts/mse_bin_4': 0.2145821452140808, 'redshifts/mse_bin_5': 0.07065657526254654, 'redshifts/nmad': 0.1118871346116066, 'redshifts/nmad_bin_0': 0.21372053027153015, 'redshifts/nmad_bin_1': 0.13472968339920044, 'redshifts/nmad_bin_2': 0.08833808451890945, 'redshifts/nmad_bin_3': 0.06848834455013275, 'redshifts/nmad_bin_4': 0.062018077820539474, 'redshifts/nmad_bin_5': 0.03517446294426918, 'redshifts/outlier_fraction': 0.32574892044067383, 'redshifts/outlier_fraction_bin_0': 0.48956623673439026, 'redshifts/outlier_fraction_bin_1': 0.3570462465286255, 'redshifts/outlier_fraction_bin_2': 0.25989189743995667, 'redshifts/outlier_fraction_bin_3': 0.18903374671936035, 'redshifts/outlier_fraction_bin_4': 0.1842959076166153, 'redshifts/outlier_fraction_bin_5': 0.09165763854980469, 'redshifts/outlier_fraction_cata': 0.0880260020494461, 'redshifts/outlier_fraction_cata_bin_0': 0.13165418803691864, 'redshifts/outlier_fraction_cata_bin_1': 0.10035163909196854, 'redshifts/outlier_fraction_cata_bin_2': 0.07762162387371063, 'redshifts/outlier_fraction_cata_bin_3': 0.05598159506917, 'redshifts/outlier_fraction_cata_bin_4': 0.052563272416591644, 'redshifts/outlier_fraction_cata_bin_5': 0.015709642320871353}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▌ | 709/1563 [1:05:58<1:59:43, 8.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45594.])\n", + "total num of pts: tensor([16452., 11108., 4636., 2612., 1544., 9242.])\n", + "{'redshifts/bias_abs': 0.0755200907588005, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.011330720037221909, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 1.5026287655928172e-05, 'redshifts/mse': 0.3108628988265991, 'redshifts/mse_bin_0': 0.43959733843803406, 'redshifts/mse_bin_1': 0.368952214717865, 'redshifts/mse_bin_2': 0.2836818993091583, 'redshifts/mse_bin_3': 0.20846419036388397, 'redshifts/mse_bin_4': 0.21419112384319305, 'redshifts/mse_bin_5': 0.07060810178518295, 'redshifts/nmad': 0.11184320598840714, 'redshifts/nmad_bin_0': 0.21367527544498444, 'redshifts/nmad_bin_1': 0.13469268381595612, 'redshifts/nmad_bin_2': 0.08833851665258408, 'redshifts/nmad_bin_3': 0.06838240474462509, 'redshifts/nmad_bin_4': 0.061528030782938004, 'redshifts/nmad_bin_5': 0.03518658131361008, 'redshifts/outlier_fraction': 0.3257007598876953, 'redshifts/outlier_fraction_bin_0': 0.4895453453063965, 'redshifts/outlier_fraction_bin_1': 0.35694995522499084, 'redshifts/outlier_fraction_bin_2': 0.2599223554134369, 'redshifts/outlier_fraction_bin_3': 0.1891271024942398, 'redshifts/outlier_fraction_bin_4': 0.18393781781196594, 'redshifts/outlier_fraction_bin_5': 0.09175503253936768, 'redshifts/outlier_fraction_cata': 0.08801596611738205, 'redshifts/outlier_fraction_cata_bin_0': 0.1316557228565216, 'redshifts/outlier_fraction_cata_bin_1': 0.10037810355424881, 'redshifts/outlier_fraction_cata_bin_2': 0.07765314728021622, 'redshifts/outlier_fraction_cata_bin_3': 0.055895864963531494, 'redshifts/outlier_fraction_cata_bin_4': 0.05246113985776901, 'redshifts/outlier_fraction_cata_bin_5': 0.015689244493842125}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▌ | 710/1563 [1:06:08<2:03:18, 8.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45671.])\n", + "total num of pts: tensor([16479., 11128., 4642., 2615., 1545., 9262.])\n", + "{'redshifts/bias_abs': 0.07551401108503342, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004320843145251274, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.011286502704024315, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 1.4086805094848387e-05, 'redshifts/mse': 0.31052765250205994, 'redshifts/mse_bin_0': 0.43920478224754333, 'redshifts/mse_bin_1': 0.36854884028434753, 'redshifts/mse_bin_2': 0.28334173560142517, 'redshifts/mse_bin_3': 0.20825573801994324, 'redshifts/mse_bin_4': 0.21407563984394073, 'redshifts/mse_bin_5': 0.070465587079525, 'redshifts/nmad': 0.11182865500450134, 'redshifts/nmad_bin_0': 0.2136220633983612, 'redshifts/nmad_bin_1': 0.13459721207618713, 'redshifts/nmad_bin_2': 0.08833851665258408, 'redshifts/nmad_bin_3': 0.06839633733034134, 'redshifts/nmad_bin_4': 0.0620659738779068, 'redshifts/nmad_bin_5': 0.03517230600118637, 'redshifts/outlier_fraction': 0.3255676329135895, 'redshifts/outlier_fraction_bin_0': 0.48953214287757874, 'redshifts/outlier_fraction_bin_1': 0.3567577302455902, 'redshifts/outlier_fraction_bin_2': 0.25980180501937866, 'redshifts/outlier_fraction_bin_3': 0.1889101266860962, 'redshifts/outlier_fraction_bin_4': 0.1838187724351883, 'redshifts/outlier_fraction_bin_5': 0.09155689924955368, 'redshifts/outlier_fraction_cata': 0.0879332646727562, 'redshifts/outlier_fraction_cata_bin_0': 0.13156138360500336, 'redshifts/outlier_fraction_cata_bin_1': 0.10028756409883499, 'redshifts/outlier_fraction_cata_bin_2': 0.07755278050899506, 'redshifts/outlier_fraction_cata_bin_3': 0.05583174154162407, 'redshifts/outlier_fraction_cata_bin_4': 0.05242718383669853, 'redshifts/outlier_fraction_cata_bin_5': 0.015655366703867912}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 45%|████▌ | 711/1563 [1:06:14<1:51:46, 7.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45729.])\n", + "total num of pts: tensor([16498., 11141., 4646., 2618., 1547., 9279.])\n", + "{'redshifts/bias_abs': 0.07550743222236633, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004320843145251274, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.011219519190490246, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 1.554123628011439e-05, 'redshifts/mse': 0.31042200326919556, 'redshifts/mse_bin_0': 0.4392227232456207, 'redshifts/mse_bin_1': 0.36842191219329834, 'redshifts/mse_bin_2': 0.2831229269504547, 'redshifts/mse_bin_3': 0.20826226472854614, 'redshifts/mse_bin_4': 0.21397171914577484, 'redshifts/mse_bin_5': 0.07035091519355774, 'redshifts/nmad': 0.11182831227779388, 'redshifts/nmad_bin_0': 0.21357721090316772, 'redshifts/nmad_bin_1': 0.13462233543395996, 'redshifts/nmad_bin_2': 0.08828618377447128, 'redshifts/nmad_bin_3': 0.06865473836660385, 'redshifts/nmad_bin_4': 0.06206873059272766, 'redshifts/nmad_bin_5': 0.03518734499812126, 'redshifts/outlier_fraction': 0.3255046010017395, 'redshifts/outlier_fraction_bin_0': 0.4893926680088043, 'redshifts/outlier_fraction_bin_1': 0.3567902445793152, 'redshifts/outlier_fraction_bin_2': 0.259578138589859, 'redshifts/outlier_fraction_bin_3': 0.18907563388347626, 'redshifts/outlier_fraction_bin_4': 0.18487395346164703, 'redshifts/outlier_fraction_bin_5': 0.09149692952632904, 'redshifts/outlier_fraction_cata': 0.08790920674800873, 'redshifts/outlier_fraction_cata_bin_0': 0.13159170746803284, 'redshifts/outlier_fraction_cata_bin_1': 0.10026030242443085, 'redshifts/outlier_fraction_cata_bin_2': 0.07748600840568542, 'redshifts/outlier_fraction_cata_bin_3': 0.055767763406038284, 'redshifts/outlier_fraction_cata_bin_4': 0.052359405905008316, 'redshifts/outlier_fraction_cata_bin_5': 0.015626683831214905}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 712/1563 [1:06:26<2:08:23, 9.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45808.])\n", + "total num of pts: tensor([16523., 11161., 4657., 2622., 1548., 9297.])\n", + "{'redshifts/bias_abs': 0.07554980367422104, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004323016852140427, 'redshifts/bias_bin_0': 0.028977226465940475, 'redshifts/bias_bin_1': 0.011330720037221909, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 1.8636010281625204e-05, 'redshifts/mse': 0.3105252981185913, 'redshifts/mse_bin_0': 0.43906375765800476, 'redshifts/mse_bin_1': 0.3687621057033539, 'redshifts/mse_bin_2': 0.2834996283054352, 'redshifts/mse_bin_3': 0.20796334743499756, 'redshifts/mse_bin_4': 0.2166154980659485, 'redshifts/mse_bin_5': 0.07026952505111694, 'redshifts/nmad': 0.11189533025026321, 'redshifts/nmad_bin_0': 0.21367278695106506, 'redshifts/nmad_bin_1': 0.13474799692630768, 'redshifts/nmad_bin_2': 0.08830152451992035, 'redshifts/nmad_bin_3': 0.06839633733034134, 'redshifts/nmad_bin_4': 0.062116626650094986, 'redshifts/nmad_bin_5': 0.03517904877662659, 'redshifts/outlier_fraction': 0.3255981504917145, 'redshifts/outlier_fraction_bin_0': 0.4894389510154724, 'redshifts/outlier_fraction_bin_1': 0.35713645815849304, 'redshifts/outlier_fraction_bin_2': 0.25982391834259033, 'redshifts/outlier_fraction_bin_3': 0.18878719210624695, 'redshifts/outlier_fraction_bin_4': 0.18540051579475403, 'redshifts/outlier_fraction_bin_5': 0.09142734110355377, 'redshifts/outlier_fraction_cata': 0.08793223649263382, 'redshifts/outlier_fraction_cata_bin_0': 0.13145312666893005, 'redshifts/outlier_fraction_cata_bin_1': 0.10043902695178986, 'redshifts/outlier_fraction_cata_bin_2': 0.07773244380950928, 'redshifts/outlier_fraction_cata_bin_3': 0.05568268522620201, 'redshifts/outlier_fraction_cata_bin_4': 0.052971575409173965, 'redshifts/outlier_fraction_cata_bin_5': 0.015596428886055946}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 713/1563 [1:06:34<2:04:40, 8.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45874.])\n", + "total num of pts: tensor([16543., 11173., 4666., 2626., 1551., 9315.])\n", + "{'redshifts/bias_abs': 0.07553264498710632, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.028977226465940475, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 1.8636010281625204e-05, 'redshifts/mse': 0.31031137704849243, 'redshifts/mse_bin_0': 0.43880000710487366, 'redshifts/mse_bin_1': 0.36842668056488037, 'redshifts/mse_bin_2': 0.28364452719688416, 'redshifts/mse_bin_3': 0.20766644179821014, 'redshifts/mse_bin_4': 0.2163183093070984, 'redshifts/mse_bin_5': 0.07036107033491135, 'redshifts/nmad': 0.11184320598840714, 'redshifts/nmad_bin_0': 0.21370923519134521, 'redshifts/nmad_bin_1': 0.1346413493156433, 'redshifts/nmad_bin_2': 0.08819126337766647, 'redshifts/nmad_bin_3': 0.06826891750097275, 'redshifts/nmad_bin_4': 0.06200212240219116, 'redshifts/nmad_bin_5': 0.03517402708530426, 'redshifts/outlier_fraction': 0.3255874812602997, 'redshifts/outlier_fraction_bin_0': 0.489512175321579, 'redshifts/outlier_fraction_bin_1': 0.3569318950176239, 'redshifts/outlier_fraction_bin_2': 0.2603943347930908, 'redshifts/outlier_fraction_bin_3': 0.18849961459636688, 'redshifts/outlier_fraction_bin_4': 0.1850419044494629, 'redshifts/outlier_fraction_bin_5': 0.09157273173332214, 'redshifts/outlier_fraction_cata': 0.08787112683057785, 'redshifts/outlier_fraction_cata_bin_0': 0.13135464489459991, 'redshifts/outlier_fraction_cata_bin_1': 0.10033115744590759, 'redshifts/outlier_fraction_cata_bin_2': 0.0777968317270279, 'redshifts/outlier_fraction_cata_bin_3': 0.05559786781668663, 'redshifts/outlier_fraction_cata_bin_4': 0.05286911502480507, 'redshifts/outlier_fraction_cata_bin_5': 0.015673644840717316}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 714/1563 [1:06:39<1:49:18, 7.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([45943.])\n", + "total num of pts: tensor([16571., 11187., 4674., 2631., 1552., 9328.])\n", + "{'redshifts/bias_abs': 0.07551401108503342, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004323016852140427, 'redshifts/bias_bin_0': 0.029021700844168663, 'redshifts/bias_bin_1': 0.011219519190490246, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 1.8636010281625204e-05, 'redshifts/mse': 0.3101237416267395, 'redshifts/mse_bin_0': 0.4387059509754181, 'redshifts/mse_bin_1': 0.3680962324142456, 'redshifts/mse_bin_2': 0.2831849455833435, 'redshifts/mse_bin_3': 0.20739790797233582, 'redshifts/mse_bin_4': 0.21618783473968506, 'redshifts/mse_bin_5': 0.070277638733387, 'redshifts/nmad': 0.1118178740143776, 'redshifts/nmad_bin_0': 0.21364331245422363, 'redshifts/nmad_bin_1': 0.13462233543395996, 'redshifts/nmad_bin_2': 0.08822096139192581, 'redshifts/nmad_bin_3': 0.06846971064805984, 'redshifts/nmad_bin_4': 0.06206873059272766, 'redshifts/nmad_bin_5': 0.03517402708530426, 'redshifts/outlier_fraction': 0.3255120515823364, 'redshifts/outlier_fraction_bin_0': 0.4894092082977295, 'redshifts/outlier_fraction_bin_1': 0.3568427562713623, 'redshifts/outlier_fraction_bin_2': 0.25994864106178284, 'redshifts/outlier_fraction_bin_3': 0.18890155851840973, 'redshifts/outlier_fraction_bin_4': 0.18492268025875092, 'redshifts/outlier_fraction_bin_5': 0.09155231714248657, 'redshifts/outlier_fraction_cata': 0.08780445158481598, 'redshifts/outlier_fraction_cata_bin_0': 0.1313137412071228, 'redshifts/outlier_fraction_cata_bin_1': 0.10020559281110764, 'redshifts/outlier_fraction_cata_bin_2': 0.07766367495059967, 'redshifts/outlier_fraction_cata_bin_3': 0.055492207407951355, 'redshifts/outlier_fraction_cata_bin_4': 0.05283505097031593, 'redshifts/outlier_fraction_cata_bin_5': 0.015651801601052284}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 715/1563 [1:06:45<1:43:30, 7.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46013.])\n", + "total num of pts: tensor([16597., 11201., 4677., 2635., 1555., 9348.])\n", + "{'redshifts/bias_abs': 0.0755055770277977, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004322580061852932, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.3101921081542969, 'redshifts/mse_bin_0': 0.43874379992485046, 'redshifts/mse_bin_1': 0.36858218908309937, 'redshifts/mse_bin_2': 0.2830597162246704, 'redshifts/mse_bin_3': 0.20709054172039032, 'redshifts/mse_bin_4': 0.21689176559448242, 'redshifts/mse_bin_5': 0.07014835625886917, 'redshifts/nmad': 0.11179374903440475, 'redshifts/nmad_bin_0': 0.21353445947170258, 'redshifts/nmad_bin_1': 0.1346711963415146, 'redshifts/nmad_bin_2': 0.08818861842155457, 'redshifts/nmad_bin_3': 0.06838240474462509, 'redshifts/nmad_bin_4': 0.06251475214958191, 'redshifts/nmad_bin_5': 0.035172831267118454, 'redshifts/outlier_fraction': 0.32545149326324463, 'redshifts/outlier_fraction_bin_0': 0.48924505710601807, 'redshifts/outlier_fraction_bin_1': 0.357021689414978, 'redshifts/outlier_fraction_bin_2': 0.2599957287311554, 'redshifts/outlier_fraction_bin_3': 0.18861480057239532, 'redshifts/outlier_fraction_bin_4': 0.1852090060710907, 'redshifts/outlier_fraction_bin_5': 0.09146341681480408, 'redshifts/outlier_fraction_cata': 0.08784473687410355, 'redshifts/outlier_fraction_cata_bin_0': 0.13134904205799103, 'redshifts/outlier_fraction_cata_bin_1': 0.10034818202257156, 'redshifts/outlier_fraction_cata_bin_2': 0.07761385291814804, 'redshifts/outlier_fraction_cata_bin_3': 0.055407971143722534, 'redshifts/outlier_fraction_cata_bin_4': 0.053376205265522, 'redshifts/outlier_fraction_cata_bin_5': 0.015618314035236835}\n", + "total num of pts: tensor([46076.])\n", + "total num of pts: tensor([16613., 11217., 4684., 2639., 1557., 9366.])\n", + "{'redshifts/bias_abs': 0.07547616958618164, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.02909020334482193, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 1.9114862880087458e-05, 'redshifts/mse': 0.3100157082080841, 'redshifts/mse_bin_0': 0.438628613948822, 'redshifts/mse_bin_1': 0.3685721158981323, 'redshifts/mse_bin_2': 0.28265783190727234, 'redshifts/mse_bin_3': 0.20678789913654327, 'redshifts/mse_bin_4': 0.21662911772727966, 'redshifts/mse_bin_5': 0.07005315274000168, 'redshifts/nmad': 0.11175556480884552, 'redshifts/nmad_bin_0': 0.21354174613952637, 'redshifts/nmad_bin_1': 0.1346711963415146, 'redshifts/nmad_bin_2': 0.08815841376781464, 'redshifts/nmad_bin_3': 0.0683562234044075, 'redshifts/nmad_bin_4': 0.062177930027246475, 'redshifts/nmad_bin_5': 0.035173315554857254, 'redshifts/outlier_fraction': 0.3253537714481354, 'redshifts/outlier_fraction_bin_0': 0.4891350269317627, 'redshifts/outlier_fraction_bin_1': 0.35713648796081543, 'redshifts/outlier_fraction_bin_2': 0.2596071660518646, 'redshifts/outlier_fraction_bin_3': 0.18832890689373016, 'redshifts/outlier_fraction_bin_4': 0.18497109413146973, 'redshifts/outlier_fraction_bin_5': 0.0916079431772232, 'redshifts/outlier_fraction_cata': 0.08785484731197357, 'redshifts/outlier_fraction_cata_bin_0': 0.1314031183719635, 'redshifts/outlier_fraction_cata_bin_1': 0.10047249495983124, 'redshifts/outlier_fraction_cata_bin_2': 0.07749786227941513, 'redshifts/outlier_fraction_cata_bin_3': 0.05532398819923401, 'redshifts/outlier_fraction_cata_bin_4': 0.05330764129757881, 'redshifts/outlier_fraction_cata_bin_5': 0.015588298439979553}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 716/1563 [1:06:52<1:39:05, 7.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46137.])\n", + "total num of pts: tensor([16633., 11236., 4690., 2642., 1560., 9376.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 717/1563 [1:06:58<1:37:40, 6.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0755055770277977, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046076010912656784, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023709308356046677, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.011219519190490246, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.30997735261917114, 'redshifts/mse_bin_0': 0.438669890165329, 'redshifts/mse_bin_1': 0.36830613017082214, 'redshifts/mse_bin_2': 0.2824782431125641, 'redshifts/mse_bin_3': 0.20754437148571014, 'redshifts/mse_bin_4': 0.21624301373958588, 'redshifts/mse_bin_5': 0.06999440491199493, 'redshifts/nmad': 0.11179724335670471, 'redshifts/nmad_bin_0': 0.21361947059631348, 'redshifts/nmad_bin_1': 0.13469022512435913, 'redshifts/nmad_bin_2': 0.08816859126091003, 'redshifts/nmad_bin_3': 0.06829897314310074, 'redshifts/nmad_bin_4': 0.06243882328271866, 'redshifts/nmad_bin_5': 0.03515477105975151, 'redshifts/outlier_fraction': 0.3253570795059204, 'redshifts/outlier_fraction_bin_0': 0.4891480803489685, 'redshifts/outlier_fraction_bin_1': 0.3570665717124939, 'redshifts/outlier_fraction_bin_2': 0.2597014904022217, 'redshifts/outlier_fraction_bin_3': 0.18849356472492218, 'redshifts/outlier_fraction_bin_4': 0.1846153885126114, 'redshifts/outlier_fraction_bin_5': 0.09161689132452011, 'redshifts/outlier_fraction_cata': 0.08786873519420624, 'redshifts/outlier_fraction_cata_bin_0': 0.13148559629917145, 'redshifts/outlier_fraction_cata_bin_1': 0.10039159655570984, 'redshifts/outlier_fraction_cata_bin_2': 0.07739871740341187, 'redshifts/outlier_fraction_cata_bin_3': 0.05563966557383537, 'redshifts/outlier_fraction_cata_bin_4': 0.05320512875914574, 'redshifts/outlier_fraction_cata_bin_5': 0.015571672469377518}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 718/1563 [1:07:05<1:37:43, 6.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46197.])\n", + "total num of pts: tensor([16656., 11249., 4695., 2648., 1565., 9384.])\n", + "{'redshifts/bias_abs': 0.07553264498710632, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023709308356046677, 'redshifts/bias': 0.004337481688708067, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3099592626094818, 'redshifts/mse_bin_0': 0.4384726583957672, 'redshifts/mse_bin_1': 0.36847254633903503, 'redshifts/mse_bin_2': 0.28294146060943604, 'redshifts/mse_bin_3': 0.20731793344020844, 'redshifts/mse_bin_4': 0.2155582308769226, 'redshifts/mse_bin_5': 0.06994076818227768, 'redshifts/nmad': 0.11183160543441772, 'redshifts/nmad_bin_0': 0.21365541219711304, 'redshifts/nmad_bin_1': 0.13469205796718597, 'redshifts/nmad_bin_2': 0.08817938715219498, 'redshifts/nmad_bin_3': 0.06834385544061661, 'redshifts/nmad_bin_4': 0.06213686987757683, 'redshifts/nmad_bin_5': 0.03514542430639267, 'redshifts/outlier_fraction': 0.3253890872001648, 'redshifts/outlier_fraction_bin_0': 0.48931315541267395, 'redshifts/outlier_fraction_bin_1': 0.35700950026512146, 'redshifts/outlier_fraction_bin_2': 0.2598509192466736, 'redshifts/outlier_fraction_bin_3': 0.1884441077709198, 'redshifts/outlier_fraction_bin_4': 0.18402555584907532, 'redshifts/outlier_fraction_bin_5': 0.09153878688812256, 'redshifts/outlier_fraction_cata': 0.08786284923553467, 'redshifts/outlier_fraction_cata_bin_0': 0.13142411410808563, 'redshifts/outlier_fraction_cata_bin_1': 0.10045337677001953, 'redshifts/outlier_fraction_cata_bin_2': 0.07752928882837296, 'redshifts/outlier_fraction_cata_bin_3': 0.055513594299554825, 'redshifts/outlier_fraction_cata_bin_4': 0.05303514376282692, 'redshifts/outlier_fraction_cata_bin_5': 0.015558397397398949}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 719/1563 [1:07:15<1:48:05, 7.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46274.])\n", + "total num of pts: tensor([16667., 11274., 4705., 2653., 1571., 9404.])\n", + "{'redshifts/bias_abs': 0.07550743222236633, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.029075583443045616, 'redshifts/bias_bin_1': 0.011286502704024315, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3098364472389221, 'redshifts/mse_bin_0': 0.438337504863739, 'redshifts/mse_bin_1': 0.36870643496513367, 'redshifts/mse_bin_2': 0.28269127011299133, 'redshifts/mse_bin_3': 0.2070297747850418, 'redshifts/mse_bin_4': 0.21485431492328644, 'redshifts/mse_bin_5': 0.06996803730726242, 'redshifts/nmad': 0.11177533864974976, 'redshifts/nmad_bin_0': 0.21364057064056396, 'redshifts/nmad_bin_1': 0.13462711870670319, 'redshifts/nmad_bin_2': 0.0883231833577156, 'redshifts/nmad_bin_3': 0.0683562234044075, 'redshifts/nmad_bin_4': 0.062177930027246475, 'redshifts/nmad_bin_5': 0.03518042340874672, 'redshifts/outlier_fraction': 0.32532307505607605, 'redshifts/outlier_fraction_bin_0': 0.4892902076244354, 'redshifts/outlier_fraction_bin_1': 0.35692745447158813, 'redshifts/outlier_fraction_bin_2': 0.2601487636566162, 'redshifts/outlier_fraction_bin_3': 0.1884658932685852, 'redshifts/outlier_fraction_bin_4': 0.1833227276802063, 'redshifts/outlier_fraction_bin_5': 0.09176945686340332, 'redshifts/outlier_fraction_cata': 0.08782469481229782, 'redshifts/outlier_fraction_cata_bin_0': 0.13133737444877625, 'redshifts/outlier_fraction_cata_bin_1': 0.10058541595935822, 'redshifts/outlier_fraction_cata_bin_2': 0.07736450433731079, 'redshifts/outlier_fraction_cata_bin_3': 0.05540896952152252, 'redshifts/outlier_fraction_cata_bin_4': 0.05283259227871895, 'redshifts/outlier_fraction_cata_bin_5': 0.015631645917892456}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 720/1563 [1:07:22<1:46:59, 7.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46341.])\n", + "total num of pts: tensor([16695., 11290., 4707., 2656., 1575., 9418.])\n", + "{'redshifts/bias_abs': 0.07554980367422104, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04607704281806946, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004322580061852932, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 3.905069752363488e-05, 'redshifts/mse': 0.3098732531070709, 'redshifts/mse_bin_0': 0.43836626410484314, 'redshifts/mse_bin_1': 0.3685402572154999, 'redshifts/mse_bin_2': 0.2836914360523224, 'redshifts/mse_bin_3': 0.2068328857421875, 'redshifts/mse_bin_4': 0.21434365212917328, 'redshifts/mse_bin_5': 0.06989171355962753, 'redshifts/nmad': 0.1118537038564682, 'redshifts/nmad_bin_0': 0.2136220633983612, 'redshifts/nmad_bin_1': 0.13467749953269958, 'redshifts/nmad_bin_2': 0.0885506197810173, 'redshifts/nmad_bin_3': 0.06834385544061661, 'redshifts/nmad_bin_4': 0.06213686987757683, 'redshifts/nmad_bin_5': 0.03517875820398331, 'redshifts/outlier_fraction': 0.3254353702068329, 'redshifts/outlier_fraction_bin_0': 0.4893680810928345, 'redshifts/outlier_fraction_bin_1': 0.3570416271686554, 'redshifts/outlier_fraction_bin_2': 0.260463148355484, 'redshifts/outlier_fraction_bin_3': 0.1882530152797699, 'redshifts/outlier_fraction_bin_4': 0.18285714089870453, 'redshifts/outlier_fraction_bin_5': 0.09195157885551453, 'redshifts/outlier_fraction_cata': 0.08787035197019577, 'redshifts/outlier_fraction_cata_bin_0': 0.13141658902168274, 'redshifts/outlier_fraction_cata_bin_1': 0.1005314439535141, 'redshifts/outlier_fraction_cata_bin_2': 0.07775653153657913, 'redshifts/outlier_fraction_cata_bin_3': 0.05534638464450836, 'redshifts/outlier_fraction_cata_bin_4': 0.05269841104745865, 'redshifts/outlier_fraction_cata_bin_5': 0.0156084094196558}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 721/1563 [1:07:30<1:47:46, 7.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46415.])\n", + "total num of pts: tensor([16717., 11307., 4714., 2664., 1579., 9434.])\n", + "{'redshifts/bias_abs': 0.07553264498710632, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.00432074349373579, 'redshifts/bias_bin_0': 0.028899753466248512, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.30967119336128235, 'redshifts/mse_bin_0': 0.43798699975013733, 'redshifts/mse_bin_1': 0.368489146232605, 'redshifts/mse_bin_2': 0.28342458605766296, 'redshifts/mse_bin_3': 0.20751351118087769, 'redshifts/mse_bin_4': 0.21386092901229858, 'redshifts/mse_bin_5': 0.06980156898498535, 'redshifts/nmad': 0.11179102212190628, 'redshifts/nmad_bin_0': 0.21350470185279846, 'redshifts/nmad_bin_1': 0.13467749953269958, 'redshifts/nmad_bin_2': 0.08821223676204681, 'redshifts/nmad_bin_3': 0.06834385544061661, 'redshifts/nmad_bin_4': 0.06200212240219116, 'redshifts/nmad_bin_5': 0.03519059345126152, 'redshifts/outlier_fraction': 0.3253258764743805, 'redshifts/outlier_fraction_bin_0': 0.489202618598938, 'redshifts/outlier_fraction_bin_1': 0.3571239113807678, 'redshifts/outlier_fraction_bin_2': 0.2602885067462921, 'redshifts/outlier_fraction_bin_3': 0.18843844532966614, 'redshifts/outlier_fraction_bin_4': 0.18239392340183258, 'redshifts/outlier_fraction_bin_5': 0.09190163016319275, 'redshifts/outlier_fraction_cata': 0.08781643956899643, 'redshifts/outlier_fraction_cata_bin_0': 0.13124364614486694, 'redshifts/outlier_fraction_cata_bin_1': 0.10064561665058136, 'redshifts/outlier_fraction_cata_bin_2': 0.0776410698890686, 'redshifts/outlier_fraction_cata_bin_3': 0.0555555559694767, 'redshifts/outlier_fraction_cata_bin_4': 0.052564915269613266, 'redshifts/outlier_fraction_cata_bin_5': 0.01558193750679493}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▌ | 722/1563 [1:07:37<1:44:06, 7.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46487.])\n", + "total num of pts: tensor([16740., 11325., 4723., 2669., 1583., 9447.])\n", + "{'redshifts/bias_abs': 0.0755268931388855, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.00432074349373579, 'redshifts/bias_bin_0': 0.028852520510554314, 'redshifts/bias_bin_1': 0.011286502704024315, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3098517656326294, 'redshifts/mse_bin_0': 0.43820661306381226, 'redshifts/mse_bin_1': 0.36821746826171875, 'redshifts/mse_bin_2': 0.2849774658679962, 'redshifts/mse_bin_3': 0.2084084004163742, 'redshifts/mse_bin_4': 0.21334771811962128, 'redshifts/mse_bin_5': 0.06970866024494171, 'redshifts/nmad': 0.1117885634303093, 'redshifts/nmad_bin_0': 0.21362829208374023, 'redshifts/nmad_bin_1': 0.1348135620355606, 'redshifts/nmad_bin_2': 0.08847375959157944, 'redshifts/nmad_bin_3': 0.06848239153623581, 'redshifts/nmad_bin_4': 0.06212959066033363, 'redshifts/nmad_bin_5': 0.035177357494831085, 'redshifts/outlier_fraction': 0.32531675696372986, 'redshifts/outlier_fraction_bin_0': 0.48924732208251953, 'redshifts/outlier_fraction_bin_1': 0.3569977879524231, 'redshifts/outlier_fraction_bin_2': 0.26042768359184265, 'redshifts/outlier_fraction_bin_3': 0.189209446310997, 'redshifts/outlier_fraction_bin_4': 0.18193304538726807, 'redshifts/outlier_fraction_bin_5': 0.09177516400814056, 'redshifts/outlier_fraction_cata': 0.08785251528024673, 'redshifts/outlier_fraction_cata_bin_0': 0.1312425285577774, 'redshifts/outlier_fraction_cata_bin_1': 0.10057394951581955, 'redshifts/outlier_fraction_cata_bin_2': 0.07812830805778503, 'redshifts/outlier_fraction_cata_bin_3': 0.055826153606176376, 'redshifts/outlier_fraction_cata_bin_4': 0.052432090044021606, 'redshifts/outlier_fraction_cata_bin_5': 0.015560495667159557}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▋ | 723/1563 [1:07:44<1:41:28, 7.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46559.])\n", + "total num of pts: tensor([16766., 11341., 4735., 2671., 1585., 9461.])\n", + "{'redshifts/bias_abs': 0.07553264498710632, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023743191733956337, 'redshifts/bias': 0.004320843145251274, 'redshifts/bias_bin_0': 0.02876373939216137, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.30982398986816406, 'redshifts/mse_bin_0': 0.43838924169540405, 'redshifts/mse_bin_1': 0.3679285943508148, 'redshifts/mse_bin_2': 0.28492581844329834, 'redshifts/mse_bin_3': 0.20846757292747498, 'redshifts/mse_bin_4': 0.2130879908800125, 'redshifts/mse_bin_5': 0.06962448358535767, 'redshifts/nmad': 0.11179117858409882, 'redshifts/nmad_bin_0': 0.21359772980213165, 'redshifts/nmad_bin_1': 0.13485145568847656, 'redshifts/nmad_bin_2': 0.08839340507984161, 'redshifts/nmad_bin_3': 0.0685514509677887, 'redshifts/nmad_bin_4': 0.06212959066033363, 'redshifts/nmad_bin_5': 0.035200078040361404, 'redshifts/outlier_fraction': 0.32532915472984314, 'redshifts/outlier_fraction_bin_0': 0.48926398158073425, 'redshifts/outlier_fraction_bin_1': 0.3568468391895294, 'redshifts/outlier_fraction_bin_2': 0.26061245799064636, 'redshifts/outlier_fraction_bin_3': 0.18981654942035675, 'redshifts/outlier_fraction_bin_4': 0.18170346319675446, 'redshifts/outlier_fraction_bin_5': 0.0917450562119484, 'redshifts/outlier_fraction_cata': 0.08782405406236649, 'redshifts/outlier_fraction_cata_bin_0': 0.13127759099006653, 'redshifts/outlier_fraction_cata_bin_1': 0.10043206065893173, 'redshifts/outlier_fraction_cata_bin_2': 0.07814150303602219, 'redshifts/outlier_fraction_cata_bin_3': 0.055784352123737335, 'redshifts/outlier_fraction_cata_bin_4': 0.05236592888832092, 'redshifts/outlier_fraction_cata_bin_5': 0.015537469647824764}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▋ | 724/1563 [1:07:51<1:41:02, 7.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46626.])\n", + "total num of pts: tensor([16788., 11353., 4744., 2675., 1587., 9479.])\n", + "{'redshifts/bias_abs': 0.07550743222236633, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.02876032330095768, 'redshifts/bias_bin_1': 0.011286502704024315, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 5.501848499989137e-05, 'redshifts/mse': 0.30971068143844604, 'redshifts/mse_bin_0': 0.43812087178230286, 'redshifts/mse_bin_1': 0.36791887879371643, 'redshifts/mse_bin_2': 0.2844545543193817, 'redshifts/mse_bin_3': 0.21020261943340302, 'redshifts/mse_bin_4': 0.2128545492887497, 'redshifts/mse_bin_5': 0.06951015442609787, 'redshifts/nmad': 0.11175556480884552, 'redshifts/nmad_bin_0': 0.21331261098384857, 'redshifts/nmad_bin_1': 0.1347203403711319, 'redshifts/nmad_bin_2': 0.08829259127378464, 'redshifts/nmad_bin_3': 0.06887827068567276, 'redshifts/nmad_bin_4': 0.06251475214958191, 'redshifts/nmad_bin_5': 0.0351974181830883, 'redshifts/outlier_fraction': 0.3251619338989258, 'redshifts/outlier_fraction_bin_0': 0.4890397787094116, 'redshifts/outlier_fraction_bin_1': 0.3566458225250244, 'redshifts/outlier_fraction_bin_2': 0.26032882928848267, 'redshifts/outlier_fraction_bin_3': 0.1906542032957077, 'redshifts/outlier_fraction_bin_4': 0.1814744770526886, 'redshifts/outlier_fraction_bin_5': 0.09167633950710297, 'redshifts/outlier_fraction_cata': 0.08780508488416672, 'redshifts/outlier_fraction_cata_bin_0': 0.13122467696666718, 'redshifts/outlier_fraction_cata_bin_1': 0.1004139855504036, 'redshifts/outlier_fraction_cata_bin_2': 0.0779932513833046, 'redshifts/outlier_fraction_cata_bin_3': 0.056448597460985184, 'redshifts/outlier_fraction_cata_bin_4': 0.05229993537068367, 'redshifts/outlier_fraction_cata_bin_5': 0.015507965348660946}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▋ | 725/1563 [1:07:55<1:28:46, 6.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46692.])\n", + "total num of pts: tensor([16811., 11366., 4747., 2678., 1590., 9500.])\n", + "{'redshifts/bias_abs': 0.07551401108503342, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.028815526515245438, 'redshifts/bias_bin_1': 0.011286502704024315, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.3094683587551117, 'redshifts/mse_bin_0': 0.4378435015678406, 'redshifts/mse_bin_1': 0.36779528856277466, 'redshifts/mse_bin_2': 0.28428950905799866, 'redshifts/mse_bin_3': 0.20996811985969543, 'redshifts/mse_bin_4': 0.2124921828508377, 'redshifts/mse_bin_5': 0.06937762349843979, 'redshifts/nmad': 0.11175556480884552, 'redshifts/nmad_bin_0': 0.21337570250034332, 'redshifts/nmad_bin_1': 0.13472165167331696, 'redshifts/nmad_bin_2': 0.08847153931856155, 'redshifts/nmad_bin_3': 0.06852461397647858, 'redshifts/nmad_bin_4': 0.06206873059272766, 'redshifts/nmad_bin_5': 0.03517487272620201, 'redshifts/outlier_fraction': 0.32504498958587646, 'redshifts/outlier_fraction_bin_0': 0.4890250563621521, 'redshifts/outlier_fraction_bin_1': 0.3566778004169464, 'redshifts/outlier_fraction_bin_2': 0.2601643204689026, 'redshifts/outlier_fraction_bin_3': 0.19044062495231628, 'redshifts/outlier_fraction_bin_4': 0.18113207817077637, 'redshifts/outlier_fraction_bin_5': 0.09147368371486664, 'redshifts/outlier_fraction_cata': 0.08774522691965103, 'redshifts/outlier_fraction_cata_bin_0': 0.13116411864757538, 'redshifts/outlier_fraction_cata_bin_1': 0.10038711875677109, 'redshifts/outlier_fraction_cata_bin_2': 0.07794396579265594, 'redshifts/outlier_fraction_cata_bin_3': 0.05638536065816879, 'redshifts/outlier_fraction_cata_bin_4': 0.05220125615596771, 'redshifts/outlier_fraction_cata_bin_5': 0.015473684296011925}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 46%|████▋ | 726/1563 [1:07:59<1:18:32, 5.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46748.])\n", + "total num of pts: tensor([16831., 11377., 4753., 2681., 1590., 9516.])\n", + "{'redshifts/bias_abs': 0.07550743222236633, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004323016852140427, 'redshifts/bias_bin_0': 0.02876032330095768, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.30940109491348267, 'redshifts/mse_bin_0': 0.4377482533454895, 'redshifts/mse_bin_1': 0.368013858795166, 'redshifts/mse_bin_2': 0.28394991159439087, 'redshifts/mse_bin_3': 0.20973846316337585, 'redshifts/mse_bin_4': 0.2124921828508377, 'redshifts/mse_bin_5': 0.06930233538150787, 'redshifts/nmad': 0.11174572259187698, 'redshifts/nmad_bin_0': 0.2132979780435562, 'redshifts/nmad_bin_1': 0.13467749953269958, 'redshifts/nmad_bin_2': 0.08838578313589096, 'redshifts/nmad_bin_3': 0.06852461397647858, 'redshifts/nmad_bin_4': 0.06206873059272766, 'redshifts/nmad_bin_5': 0.035177625715732574, 'redshifts/outlier_fraction': 0.32497647404670715, 'redshifts/outlier_fraction_bin_0': 0.4890380799770355, 'redshifts/outlier_fraction_bin_1': 0.3565966486930847, 'redshifts/outlier_fraction_bin_2': 0.2598358988761902, 'redshifts/outlier_fraction_bin_3': 0.19022752344608307, 'redshifts/outlier_fraction_bin_4': 0.18113207817077637, 'redshifts/outlier_fraction_bin_5': 0.09153005480766296, 'redshifts/outlier_fraction_cata': 0.0877256765961647, 'redshifts/outlier_fraction_cata_bin_0': 0.13118650019168854, 'redshifts/outlier_fraction_cata_bin_1': 0.10037795454263687, 'redshifts/outlier_fraction_cata_bin_2': 0.07784557342529297, 'redshifts/outlier_fraction_cata_bin_3': 0.05632226914167404, 'redshifts/outlier_fraction_cata_bin_4': 0.05220125615596771, 'redshifts/outlier_fraction_cata_bin_5': 0.015447666868567467}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 727/1563 [1:08:03<1:10:40, 5.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46814.])\n", + "total num of pts: tensor([16853., 11388., 4763., 2684., 1593., 9533.])\n", + "{'redshifts/bias_abs': 0.07545687258243561, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.0042977421544492245, 'redshifts/bias_bin_0': 0.028576871380209923, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 3.905069752363488e-05, 'redshifts/mse': 0.3091563880443573, 'redshifts/mse_bin_0': 0.43728959560394287, 'redshifts/mse_bin_1': 0.36789336800575256, 'redshifts/mse_bin_2': 0.2842194139957428, 'redshifts/mse_bin_3': 0.20950867235660553, 'redshifts/mse_bin_4': 0.21211978793144226, 'redshifts/mse_bin_5': 0.0692005380988121, 'redshifts/nmad': 0.11170824617147446, 'redshifts/nmad_bin_0': 0.21327745914459229, 'redshifts/nmad_bin_1': 0.13467340171337128, 'redshifts/nmad_bin_2': 0.0882502943277359, 'redshifts/nmad_bin_3': 0.06839477270841599, 'redshifts/nmad_bin_4': 0.062177930027246475, 'redshifts/nmad_bin_5': 0.03517374023795128, 'redshifts/outlier_fraction': 0.3248387277126312, 'redshifts/outlier_fraction_bin_0': 0.4887557029724121, 'redshifts/outlier_fraction_bin_1': 0.3566034436225891, 'redshifts/outlier_fraction_bin_2': 0.259920209646225, 'redshifts/outlier_fraction_bin_3': 0.19001489877700806, 'redshifts/outlier_fraction_bin_4': 0.1807909607887268, 'redshifts/outlier_fraction_bin_5': 0.09157662838697433, 'redshifts/outlier_fraction_cata': 0.08764471858739853, 'redshifts/outlier_fraction_cata_bin_0': 0.13101525604724884, 'redshifts/outlier_fraction_cata_bin_1': 0.10036881268024445, 'redshifts/outlier_fraction_cata_bin_2': 0.07789208739995956, 'redshifts/outlier_fraction_cata_bin_3': 0.056259315460920334, 'redshifts/outlier_fraction_cata_bin_4': 0.0521029494702816, 'redshifts/outlier_fraction_cata_bin_5': 0.015420119278132915}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 728/1563 [1:08:10<1:18:17, 5.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46876.])\n", + "total num of pts: tensor([16873., 11404., 4769., 2687., 1596., 9547.])\n", + "{'redshifts/bias_abs': 0.07543665170669556, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.046089764684438705, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023743191733956337, 'redshifts/bias': 0.004314229357987642, 'redshifts/bias_bin_0': 0.028576871380209923, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.3090622127056122, 'redshifts/mse_bin_0': 0.4370426535606384, 'redshifts/mse_bin_1': 0.3677758574485779, 'redshifts/mse_bin_2': 0.2844042181968689, 'redshifts/mse_bin_3': 0.20927628874778748, 'redshifts/mse_bin_4': 0.21219943463802338, 'redshifts/mse_bin_5': 0.0693373903632164, 'redshifts/nmad': 0.111679807305336, 'redshifts/nmad_bin_0': 0.21321836113929749, 'redshifts/nmad_bin_1': 0.13454745709896088, 'redshifts/nmad_bin_2': 0.08831993490457535, 'redshifts/nmad_bin_3': 0.0683562234044075, 'redshifts/nmad_bin_4': 0.06206873059272766, 'redshifts/nmad_bin_5': 0.03519441559910774, 'redshifts/outlier_fraction': 0.3247503936290741, 'redshifts/outlier_fraction_bin_0': 0.48870977759361267, 'redshifts/outlier_fraction_bin_1': 0.3561908006668091, 'redshifts/outlier_fraction_bin_2': 0.26022225618362427, 'redshifts/outlier_fraction_bin_3': 0.18980275094509125, 'redshifts/outlier_fraction_bin_4': 0.18107768893241882, 'redshifts/outlier_fraction_bin_5': 0.09165182709693909, 'redshifts/outlier_fraction_cata': 0.08761413395404816, 'redshifts/outlier_fraction_cata_bin_0': 0.1309192180633545, 'redshifts/outlier_fraction_cata_bin_1': 0.10031567513942719, 'redshifts/outlier_fraction_cata_bin_2': 0.07800377160310745, 'redshifts/outlier_fraction_cata_bin_3': 0.05619650334119797, 'redshifts/outlier_fraction_cata_bin_4': 0.05200501158833504, 'redshifts/outlier_fraction_cata_bin_5': 0.01550225168466568}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 729/1563 [1:08:16<1:19:32, 5.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46923.])\n", + "total num of pts: tensor([16888., 11416., 4776., 2690., 1597., 9556.])\n", + "{'redshifts/bias_abs': 0.07544726133346558, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004303706344217062, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.308953195810318, 'redshifts/mse_bin_0': 0.4369719326496124, 'redshifts/mse_bin_1': 0.3676161468029022, 'redshifts/mse_bin_2': 0.2840301990509033, 'redshifts/mse_bin_3': 0.20924106240272522, 'redshifts/mse_bin_4': 0.21235421299934387, 'redshifts/mse_bin_5': 0.06929927319288254, 'redshifts/nmad': 0.11170948296785355, 'redshifts/nmad_bin_0': 0.21316130459308624, 'redshifts/nmad_bin_1': 0.13465024530887604, 'redshifts/nmad_bin_2': 0.0882662758231163, 'redshifts/nmad_bin_3': 0.06838240474462509, 'redshifts/nmad_bin_4': 0.062177930027246475, 'redshifts/nmad_bin_5': 0.0352032296359539, 'redshifts/outlier_fraction': 0.3247874081134796, 'redshifts/outlier_fraction_bin_0': 0.48857176303863525, 'redshifts/outlier_fraction_bin_1': 0.35634198784828186, 'redshifts/outlier_fraction_bin_2': 0.2600502371788025, 'redshifts/outlier_fraction_bin_3': 0.1907063126564026, 'redshifts/outlier_fraction_bin_4': 0.1815904825925827, 'redshifts/outlier_fraction_bin_5': 0.09167015552520752, 'redshifts/outlier_fraction_cata': 0.0875903069972992, 'redshifts/outlier_fraction_cata_bin_0': 0.13098058104515076, 'redshifts/outlier_fraction_cata_bin_1': 0.10021023452281952, 'redshifts/outlier_fraction_cata_bin_2': 0.07788944989442825, 'redshifts/outlier_fraction_cata_bin_3': 0.056133829057216644, 'redshifts/outlier_fraction_cata_bin_4': 0.05197244882583618, 'redshifts/outlier_fraction_cata_bin_5': 0.015487651340663433}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 730/1563 [1:08:23<1:26:51, 6.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([46982.])\n", + "total num of pts: tensor([16909., 11432., 4780., 2694., 1598., 9569.])\n", + "{'redshifts/bias_abs': 0.07544633746147156, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04613225534558296, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004293031524866819, 'redshifts/bias_bin_0': 0.02853464148938656, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.30878525972366333, 'redshifts/mse_bin_0': 0.43686988949775696, 'redshifts/mse_bin_1': 0.3672811985015869, 'redshifts/mse_bin_2': 0.283822238445282, 'redshifts/mse_bin_3': 0.20907293260097504, 'redshifts/mse_bin_4': 0.21227297186851501, 'redshifts/mse_bin_5': 0.06922847032546997, 'redshifts/nmad': 0.1116991937160492, 'redshifts/nmad_bin_0': 0.21319247782230377, 'redshifts/nmad_bin_1': 0.13443996012210846, 'redshifts/nmad_bin_2': 0.08825363963842392, 'redshifts/nmad_bin_3': 0.06846971064805984, 'redshifts/nmad_bin_4': 0.06211407482624054, 'redshifts/nmad_bin_5': 0.03520765155553818, 'redshifts/outlier_fraction': 0.3247626721858978, 'redshifts/outlier_fraction_bin_0': 0.4886155426502228, 'redshifts/outlier_fraction_bin_1': 0.35610565543174744, 'redshifts/outlier_fraction_bin_2': 0.26004183292388916, 'redshifts/outlier_fraction_bin_3': 0.19079436361789703, 'redshifts/outlier_fraction_bin_4': 0.18210263550281525, 'redshifts/outlier_fraction_bin_5': 0.09165012091398239, 'redshifts/outlier_fraction_cata': 0.08752287924289703, 'redshifts/outlier_fraction_cata_bin_0': 0.13093619048595428, 'redshifts/outlier_fraction_cata_bin_1': 0.10006997734308243, 'redshifts/outlier_fraction_cata_bin_2': 0.07782426476478577, 'redshifts/outlier_fraction_cata_bin_3': 0.056050483137369156, 'redshifts/outlier_fraction_cata_bin_4': 0.05193992331624031, 'redshifts/outlier_fraction_cata_bin_5': 0.01546661090105772}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 731/1563 [1:08:31<1:33:03, 6.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47032.])\n", + "total num of pts: tensor([16928., 11441., 4785., 2697., 1598., 9583.])\n", + "{'redshifts/bias_abs': 0.0754600316286087, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004303706344217062, 'redshifts/bias_bin_0': 0.028539584949612617, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3086805045604706, 'redshifts/mse_bin_0': 0.43672049045562744, 'redshifts/mse_bin_1': 0.3670702278614044, 'redshifts/mse_bin_2': 0.2836831212043762, 'redshifts/mse_bin_3': 0.20971174538135529, 'redshifts/mse_bin_4': 0.21227297186851501, 'redshifts/mse_bin_5': 0.06920526176691055, 'redshifts/nmad': 0.111717090010643, 'redshifts/nmad_bin_0': 0.2131851315498352, 'redshifts/nmad_bin_1': 0.1344931274652481, 'redshifts/nmad_bin_2': 0.08829038590192795, 'redshifts/nmad_bin_3': 0.06875390559434891, 'redshifts/nmad_bin_4': 0.06211407482624054, 'redshifts/nmad_bin_5': 0.03520765155553818, 'redshifts/outlier_fraction': 0.32480013370513916, 'redshifts/outlier_fraction_bin_0': 0.4886578321456909, 'redshifts/outlier_fraction_bin_1': 0.35608774423599243, 'redshifts/outlier_fraction_bin_2': 0.2603970766067505, 'redshifts/outlier_fraction_bin_3': 0.19095291197299957, 'redshifts/outlier_fraction_bin_4': 0.18210263550281525, 'redshifts/outlier_fraction_bin_5': 0.09162057936191559, 'redshifts/outlier_fraction_cata': 0.0874723568558693, 'redshifts/outlier_fraction_cata_bin_0': 0.13084830343723297, 'redshifts/outlier_fraction_cata_bin_1': 0.09999126195907593, 'redshifts/outlier_fraction_cata_bin_2': 0.07774294912815094, 'redshifts/outlier_fraction_cata_bin_3': 0.05635891854763031, 'redshifts/outlier_fraction_cata_bin_4': 0.05193992331624031, 'redshifts/outlier_fraction_cata_bin_5': 0.0154440151527524}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 732/1563 [1:08:37<1:27:58, 6.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47096.])\n", + "total num of pts: tensor([16950., 11456., 4793., 2700., 1600., 9597.])\n", + "{'redshifts/bias_abs': 0.07542458176612854, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004314229357987642, 'redshifts/bias_bin_0': 0.02847914956510067, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 4.273739250493236e-05, 'redshifts/mse': 0.3084549307823181, 'redshifts/mse_bin_0': 0.4364355504512787, 'redshifts/mse_bin_1': 0.36667144298553467, 'redshifts/mse_bin_2': 0.2838655710220337, 'redshifts/mse_bin_3': 0.20948576927185059, 'redshifts/mse_bin_4': 0.21202291548252106, 'redshifts/mse_bin_5': 0.06912843137979507, 'redshifts/nmad': 0.11167146265506744, 'redshifts/nmad_bin_0': 0.21303671598434448, 'redshifts/nmad_bin_1': 0.13436688482761383, 'redshifts/nmad_bin_2': 0.08832370489835739, 'redshifts/nmad_bin_3': 0.06865473836660385, 'redshifts/nmad_bin_4': 0.06232687085866928, 'redshifts/nmad_bin_5': 0.03522540628910065, 'redshifts/outlier_fraction': 0.3246135413646698, 'redshifts/outlier_fraction_bin_0': 0.4884955883026123, 'redshifts/outlier_fraction_bin_1': 0.35579609870910645, 'redshifts/outlier_fraction_bin_2': 0.26037973165512085, 'redshifts/outlier_fraction_bin_3': 0.19074073433876038, 'redshifts/outlier_fraction_bin_4': 0.18187500536441803, 'redshifts/outlier_fraction_bin_5': 0.09148692339658737, 'redshifts/outlier_fraction_cata': 0.08739595860242844, 'redshifts/outlier_fraction_cata_bin_0': 0.13073746860027313, 'redshifts/outlier_fraction_cata_bin_1': 0.09986033290624619, 'redshifts/outlier_fraction_cata_bin_2': 0.07782182097434998, 'redshifts/outlier_fraction_cata_bin_3': 0.056296296417713165, 'redshifts/outlier_fraction_cata_bin_4': 0.051874998956918716, 'redshifts/outlier_fraction_cata_bin_5': 0.015421485528349876}\n", + "total num of pts: tensor([47162.])\n", + "total num of pts: tensor([16975., 11474., 4799., 2704., 1601., 9609.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 733/1563 [1:08:42<1:24:15, 6.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07542970031499863, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004330319352447987, 'redshifts/bias_bin_0': 0.028539584949612617, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 5.655017594108358e-05, 'redshifts/mse': 0.30847424268722534, 'redshifts/mse_bin_0': 0.43651458621025085, 'redshifts/mse_bin_1': 0.36683738231658936, 'redshifts/mse_bin_2': 0.2835317850112915, 'redshifts/mse_bin_3': 0.20925989747047424, 'redshifts/mse_bin_4': 0.21189410984516144, 'redshifts/mse_bin_5': 0.06906069815158844, 'redshifts/nmad': 0.11166926473379135, 'redshifts/nmad_bin_0': 0.2131851315498352, 'redshifts/nmad_bin_1': 0.1343824416399002, 'redshifts/nmad_bin_2': 0.08833692222833633, 'redshifts/nmad_bin_3': 0.06858136504888535, 'redshifts/nmad_bin_4': 0.06243882328271866, 'redshifts/nmad_bin_5': 0.03528189659118652, 'redshifts/outlier_fraction': 0.32466816902160645, 'redshifts/outlier_fraction_bin_0': 0.48854196071624756, 'redshifts/outlier_fraction_bin_1': 0.35602229833602905, 'redshifts/outlier_fraction_bin_2': 0.26005417108535767, 'redshifts/outlier_fraction_bin_3': 0.19082839787006378, 'redshifts/outlier_fraction_bin_4': 0.18176139891147614, 'redshifts/outlier_fraction_bin_5': 0.09147673845291138, 'redshifts/outlier_fraction_cata': 0.08737967163324356, 'redshifts/outlier_fraction_cata_bin_0': 0.13072164356708527, 'redshifts/outlier_fraction_cata_bin_1': 0.0998779833316803, 'redshifts/outlier_fraction_cata_bin_2': 0.07772452384233475, 'redshifts/outlier_fraction_cata_bin_3': 0.05621301755309105, 'redshifts/outlier_fraction_cata_bin_4': 0.05184260010719299, 'redshifts/outlier_fraction_cata_bin_5': 0.015402226708829403}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 734/1563 [1:08:52<1:40:36, 7.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47222.])\n", + "total num of pts: tensor([16995., 11488., 4801., 2706., 1604., 9628.])\n", + "{'redshifts/bias_abs': 0.07542740553617477, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004334535915404558, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.655017594108358e-05, 'redshifts/mse': 0.30852940678596497, 'redshifts/mse_bin_0': 0.4366929829120636, 'redshifts/mse_bin_1': 0.3671083152294159, 'redshifts/mse_bin_2': 0.28341981768608093, 'redshifts/mse_bin_3': 0.20917196571826935, 'redshifts/mse_bin_4': 0.21192602813243866, 'redshifts/mse_bin_5': 0.06894592195749283, 'redshifts/nmad': 0.11165592074394226, 'redshifts/nmad_bin_0': 0.21318818628787994, 'redshifts/nmad_bin_1': 0.13449065387248993, 'redshifts/nmad_bin_2': 0.0883321464061737, 'redshifts/nmad_bin_3': 0.06860183924436569, 'redshifts/nmad_bin_4': 0.06211407482624054, 'redshifts/nmad_bin_5': 0.03528939560055733, 'redshifts/outlier_fraction': 0.3246791660785675, 'redshifts/outlier_fraction_bin_0': 0.4884377717971802, 'redshifts/outlier_fraction_bin_1': 0.3563718795776367, 'redshifts/outlier_fraction_bin_2': 0.2599458396434784, 'redshifts/outlier_fraction_bin_3': 0.19105690717697144, 'redshifts/outlier_fraction_bin_4': 0.1820448935031891, 'redshifts/outlier_fraction_bin_5': 0.09140007942914963, 'redshifts/outlier_fraction_cata': 0.0874168798327446, 'redshifts/outlier_fraction_cata_bin_0': 0.130803182721138, 'redshifts/outlier_fraction_cata_bin_1': 0.10001740604639053, 'redshifts/outlier_fraction_cata_bin_2': 0.07769215106964111, 'redshifts/outlier_fraction_cata_bin_3': 0.0561714693903923, 'redshifts/outlier_fraction_cata_bin_4': 0.05174563452601433, 'redshifts/outlier_fraction_cata_bin_5': 0.015371832065284252}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 735/1563 [1:08:59<1:36:55, 7.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47290.])\n", + "total num of pts: tensor([17013., 11507., 4808., 2711., 1604., 9647.])\n", + "{'redshifts/bias_abs': 0.07540768384933472, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004322580061852932, 'redshifts/bias_bin_0': 0.028541402891278267, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.538789264392108e-05, 'redshifts/mse': 0.3084011375904083, 'redshifts/mse_bin_0': 0.4366481900215149, 'redshifts/mse_bin_1': 0.36692726612091064, 'redshifts/mse_bin_2': 0.2833773195743561, 'redshifts/mse_bin_3': 0.20899666845798492, 'redshifts/mse_bin_4': 0.21192602813243866, 'redshifts/mse_bin_5': 0.06886952370405197, 'redshifts/nmad': 0.1116240844130516, 'redshifts/nmad_bin_0': 0.21318243443965912, 'redshifts/nmad_bin_1': 0.13443996012210846, 'redshifts/nmad_bin_2': 0.08832245320081711, 'redshifts/nmad_bin_3': 0.06881016492843628, 'redshifts/nmad_bin_4': 0.06211407482624054, 'redshifts/nmad_bin_5': 0.03530571609735489, 'redshifts/outlier_fraction': 0.3245929479598999, 'redshifts/outlier_fraction_bin_0': 0.48833245038986206, 'redshifts/outlier_fraction_bin_1': 0.3563048541545868, 'redshifts/outlier_fraction_bin_2': 0.2601913511753082, 'redshifts/outlier_fraction_bin_3': 0.19107340276241302, 'redshifts/outlier_fraction_bin_4': 0.1820448935031891, 'redshifts/outlier_fraction_bin_5': 0.09132372587919235, 'redshifts/outlier_fraction_cata': 0.08739691227674484, 'redshifts/outlier_fraction_cata_bin_0': 0.1307823359966278, 'redshifts/outlier_fraction_cata_bin_1': 0.10002607107162476, 'redshifts/outlier_fraction_cata_bin_2': 0.07778701931238174, 'redshifts/outlier_fraction_cata_bin_3': 0.056067872792482376, 'redshifts/outlier_fraction_cata_bin_4': 0.05174563452601433, 'redshifts/outlier_fraction_cata_bin_5': 0.015341556631028652}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 736/1563 [1:09:09<1:49:11, 7.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47361.])\n", + "total num of pts: tensor([17036., 11523., 4811., 2716., 1606., 9669.])\n", + "{'redshifts/bias_abs': 0.0753995031118393, 'redshifts/bias_abs_bin_0': 0.14462120831012726, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004277696833014488, 'redshifts/bias_bin_0': 0.028486449271440506, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.3083132207393646, 'redshifts/mse_bin_0': 0.43677133321762085, 'redshifts/mse_bin_1': 0.3667547404766083, 'redshifts/mse_bin_2': 0.2832288146018982, 'redshifts/mse_bin_3': 0.20863200724124908, 'redshifts/mse_bin_4': 0.21166835725307465, 'redshifts/mse_bin_5': 0.06886865198612213, 'redshifts/nmad': 0.11161237210035324, 'redshifts/nmad_bin_0': 0.21330295503139496, 'redshifts/nmad_bin_1': 0.13437119126319885, 'redshifts/nmad_bin_2': 0.08840003609657288, 'redshifts/nmad_bin_3': 0.06876415759325027, 'redshifts/nmad_bin_4': 0.062116626650094986, 'redshifts/nmad_bin_5': 0.03532257676124573, 'redshifts/outlier_fraction': 0.3245919644832611, 'redshifts/outlier_fraction_bin_0': 0.4884362518787384, 'redshifts/outlier_fraction_bin_1': 0.35641759634017944, 'redshifts/outlier_fraction_bin_2': 0.2600291073322296, 'redshifts/outlier_fraction_bin_3': 0.19072164595127106, 'redshifts/outlier_fraction_bin_4': 0.1818181872367859, 'redshifts/outlier_fraction_bin_5': 0.09142620861530304, 'redshifts/outlier_fraction_cata': 0.08732923865318298, 'redshifts/outlier_fraction_cata_bin_0': 0.13072317838668823, 'redshifts/outlier_fraction_cata_bin_1': 0.09997396171092987, 'redshifts/outlier_fraction_cata_bin_2': 0.07773851603269577, 'redshifts/outlier_fraction_cata_bin_3': 0.05596465244889259, 'redshifts/outlier_fraction_cata_bin_4': 0.051681194454431534, 'redshifts/outlier_fraction_cata_bin_5': 0.01530664972960949}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 737/1563 [1:09:17<1:49:21, 7.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47431.])\n", + "total num of pts: tensor([17063., 11539., 4818., 2719., 1609., 9683.])\n", + "{'redshifts/bias_abs': 0.07541840523481369, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004273614846169949, 'redshifts/bias_bin_0': 0.028469080105423927, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.30846941471099854, 'redshifts/mse_bin_0': 0.43692439794540405, 'redshifts/mse_bin_1': 0.36640605330467224, 'redshifts/mse_bin_2': 0.28317776322364807, 'redshifts/mse_bin_3': 0.20846474170684814, 'redshifts/mse_bin_4': 0.21149499714374542, 'redshifts/mse_bin_5': 0.06985103338956833, 'redshifts/nmad': 0.11166486144065857, 'redshifts/nmad_bin_0': 0.21345245838165283, 'redshifts/nmad_bin_1': 0.13436394929885864, 'redshifts/nmad_bin_2': 0.08832245320081711, 'redshifts/nmad_bin_3': 0.06857164949178696, 'redshifts/nmad_bin_4': 0.06211407482624054, 'redshifts/nmad_bin_5': 0.03533104434609413, 'redshifts/outlier_fraction': 0.32478758692741394, 'redshifts/outlier_fraction_bin_0': 0.48877689242362976, 'redshifts/outlier_fraction_bin_1': 0.3563567101955414, 'redshifts/outlier_fraction_bin_2': 0.2598588764667511, 'redshifts/outlier_fraction_bin_3': 0.1908790022134781, 'redshifts/outlier_fraction_bin_4': 0.18210068345069885, 'redshifts/outlier_fraction_bin_5': 0.09181039035320282, 'redshifts/outlier_fraction_cata': 0.08736901730298996, 'redshifts/outlier_fraction_cata_bin_0': 0.13075074553489685, 'redshifts/outlier_fraction_cata_bin_1': 0.0998353436589241, 'redshifts/outlier_fraction_cata_bin_2': 0.07783312350511551, 'redshifts/outlier_fraction_cata_bin_3': 0.05590290576219559, 'redshifts/outlier_fraction_cata_bin_4': 0.05158483609557152, 'redshifts/outlier_fraction_cata_bin_5': 0.015594340860843658}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 738/1563 [1:09:23<1:42:15, 7.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47504.])\n", + "total num of pts: tensor([17085., 11561., 4826., 2724., 1610., 9698.])\n", + "{'redshifts/bias_abs': 0.07539141923189163, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.00424924585968256, 'redshifts/bias_bin_0': 0.02831745706498623, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3082776963710785, 'redshifts/mse_bin_0': 0.43661755323410034, 'redshifts/mse_bin_1': 0.36591094732284546, 'redshifts/mse_bin_2': 0.28293663263320923, 'redshifts/mse_bin_3': 0.2101193517446518, 'redshifts/mse_bin_4': 0.2113639861345291, 'redshifts/mse_bin_5': 0.06974867731332779, 'redshifts/nmad': 0.11161293834447861, 'redshifts/nmad_bin_0': 0.21346069872379303, 'redshifts/nmad_bin_1': 0.13417968153953552, 'redshifts/nmad_bin_2': 0.08829038590192795, 'redshifts/nmad_bin_3': 0.06881016492843628, 'redshifts/nmad_bin_4': 0.062116626650094986, 'redshifts/nmad_bin_5': 0.03532824665307999, 'redshifts/outlier_fraction': 0.3245832026004791, 'redshifts/outlier_fraction_bin_0': 0.4886742830276489, 'redshifts/outlier_fraction_bin_1': 0.3559380769729614, 'redshifts/outlier_fraction_bin_2': 0.2596352994441986, 'redshifts/outlier_fraction_bin_3': 0.19089573621749878, 'redshifts/outlier_fraction_bin_4': 0.18198758363723755, 'redshifts/outlier_fraction_bin_5': 0.09166838228702545, 'redshifts/outlier_fraction_cata': 0.08729790896177292, 'redshifts/outlier_fraction_cata_bin_0': 0.130640909075737, 'redshifts/outlier_fraction_cata_bin_1': 0.09973185509443283, 'redshifts/outlier_fraction_cata_bin_2': 0.07770410180091858, 'redshifts/outlier_fraction_cata_bin_3': 0.05616740137338638, 'redshifts/outlier_fraction_cata_bin_4': 0.05155279487371445, 'redshifts/outlier_fraction_cata_bin_5': 0.015570220537483692}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 739/1563 [1:09:27<1:30:26, 6.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47566.])\n", + "total num of pts: tensor([17101., 11578., 4834., 2729., 1616., 9708.])\n", + "{'redshifts/bias_abs': 0.07537379860877991, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.00424924585968256, 'redshifts/bias_bin_0': 0.02831745706498623, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3081989586353302, 'redshifts/mse_bin_0': 0.4366680681705475, 'redshifts/mse_bin_1': 0.36587995290756226, 'redshifts/mse_bin_2': 0.28257253766059875, 'redshifts/mse_bin_3': 0.20973993837833405, 'redshifts/mse_bin_4': 0.2106407880783081, 'redshifts/mse_bin_5': 0.06978370994329453, 'redshifts/nmad': 0.1115659549832344, 'redshifts/nmad_bin_0': 0.21356600522994995, 'redshifts/nmad_bin_1': 0.1340816169977188, 'redshifts/nmad_bin_2': 0.08831043541431427, 'redshifts/nmad_bin_3': 0.06857164949178696, 'redshifts/nmad_bin_4': 0.062116626650094986, 'redshifts/nmad_bin_5': 0.035353805869817734, 'redshifts/outlier_fraction': 0.32449647784233093, 'redshifts/outlier_fraction_bin_0': 0.4887433350086212, 'redshifts/outlier_fraction_bin_1': 0.3556745648384094, 'redshifts/outlier_fraction_bin_2': 0.2594124972820282, 'redshifts/outlier_fraction_bin_3': 0.19054599106311798, 'redshifts/outlier_fraction_bin_4': 0.18131187558174133, 'redshifts/outlier_fraction_bin_5': 0.09188298135995865, 'redshifts/outlier_fraction_cata': 0.0872892439365387, 'redshifts/outlier_fraction_cata_bin_0': 0.1307525932788849, 'redshifts/outlier_fraction_cata_bin_1': 0.09967178851366043, 'redshifts/outlier_fraction_cata_bin_2': 0.07757550477981567, 'redshifts/outlier_fraction_cata_bin_3': 0.05606449395418167, 'redshifts/outlier_fraction_cata_bin_4': 0.051361385732889175, 'redshifts/outlier_fraction_cata_bin_5': 0.015554182231426239}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 740/1563 [1:09:32<1:22:57, 6.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47645.])\n", + "total num of pts: tensor([17127., 11597., 4840., 2730., 1618., 9733.])\n", + "{'redshifts/bias_abs': 0.07533714920282364, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.00424843467772007, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.3082890808582306, 'redshifts/mse_bin_0': 0.43670278787612915, 'redshifts/mse_bin_1': 0.36583754420280457, 'redshifts/mse_bin_2': 0.2838279902935028, 'redshifts/mse_bin_3': 0.20966383814811707, 'redshifts/mse_bin_4': 0.21038734912872314, 'redshifts/mse_bin_5': 0.06985603272914886, 'redshifts/nmad': 0.11151541024446487, 'redshifts/nmad_bin_0': 0.21365351974964142, 'redshifts/nmad_bin_1': 0.13408537209033966, 'redshifts/nmad_bin_2': 0.0882502943277359, 'redshifts/nmad_bin_3': 0.06841719895601273, 'redshifts/nmad_bin_4': 0.06206873059272766, 'redshifts/nmad_bin_5': 0.03534267842769623, 'redshifts/outlier_fraction': 0.32444116473197937, 'redshifts/outlier_fraction_bin_0': 0.48876044154167175, 'redshifts/outlier_fraction_bin_1': 0.3556092083454132, 'redshifts/outlier_fraction_bin_2': 0.25950413942337036, 'redshifts/outlier_fraction_bin_3': 0.190476194024086, 'redshifts/outlier_fraction_bin_4': 0.18108776211738586, 'redshifts/outlier_fraction_bin_5': 0.09185246378183365, 'redshifts/outlier_fraction_cata': 0.0873543918132782, 'redshifts/outlier_fraction_cata_bin_0': 0.1308460384607315, 'redshifts/outlier_fraction_cata_bin_1': 0.09968095272779465, 'redshifts/outlier_fraction_cata_bin_2': 0.07789256423711777, 'redshifts/outlier_fraction_cata_bin_3': 0.05604395642876625, 'redshifts/outlier_fraction_cata_bin_4': 0.05129789933562279, 'redshifts/outlier_fraction_cata_bin_5': 0.01561697293072939}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 741/1563 [1:09:36<1:14:59, 5.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47712.])\n", + "total num of pts: tensor([17152., 11613., 4845., 2738., 1623., 9741.])\n", + "{'redshifts/bias_abs': 0.07539141923189163, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004232398699969053, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.9114862880087458e-05, 'redshifts/mse': 0.30843794345855713, 'redshifts/mse_bin_0': 0.43718650937080383, 'redshifts/mse_bin_1': 0.3656087815761566, 'redshifts/mse_bin_2': 0.2835693061351776, 'redshifts/mse_bin_3': 0.21075566112995148, 'redshifts/mse_bin_4': 0.2099607139825821, 'redshifts/mse_bin_5': 0.0698145404458046, 'redshifts/nmad': 0.11160723865032196, 'redshifts/nmad_bin_0': 0.2137976735830307, 'redshifts/nmad_bin_1': 0.13409565389156342, 'redshifts/nmad_bin_2': 0.08826897293329239, 'redshifts/nmad_bin_3': 0.06873912364244461, 'redshifts/nmad_bin_4': 0.06258244067430496, 'redshifts/nmad_bin_5': 0.035352520644664764, 'redshifts/outlier_fraction': 0.3245305120944977, 'redshifts/outlier_fraction_bin_0': 0.48903918266296387, 'redshifts/outlier_fraction_bin_1': 0.3554637134075165, 'redshifts/outlier_fraction_bin_2': 0.25923633575439453, 'redshifts/outlier_fraction_bin_3': 0.1910153329372406, 'redshifts/outlier_fraction_bin_4': 0.1811460256576538, 'redshifts/outlier_fraction_bin_5': 0.09187968075275421, 'redshifts/outlier_fraction_cata': 0.08739939332008362, 'redshifts/outlier_fraction_cata_bin_0': 0.13100512325763702, 'redshifts/outlier_fraction_cata_bin_1': 0.0996297225356102, 'redshifts/outlier_fraction_cata_bin_2': 0.07781217992305756, 'redshifts/outlier_fraction_cata_bin_3': 0.056245435029268265, 'redshifts/outlier_fraction_cata_bin_4': 0.051139865070581436, 'redshifts/outlier_fraction_cata_bin_5': 0.01560414768755436}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 47%|████▋ | 742/1563 [1:09:40<1:07:53, 4.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47777.])\n", + "total num of pts: tensor([17173., 11624., 4854., 2742., 1627., 9757.])\n", + "{'redshifts/bias_abs': 0.07538063079118729, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004230919759720564, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.5026287655928172e-05, 'redshifts/mse': 0.3081713020801544, 'redshifts/mse_bin_0': 0.4369618594646454, 'redshifts/mse_bin_1': 0.365324467420578, 'redshifts/mse_bin_2': 0.28307604789733887, 'redshifts/mse_bin_3': 0.21073418855667114, 'redshifts/mse_bin_4': 0.20946843922138214, 'redshifts/mse_bin_5': 0.06972984224557877, 'redshifts/nmad': 0.11159312725067139, 'redshifts/nmad_bin_0': 0.21386569738388062, 'redshifts/nmad_bin_1': 0.1340751349925995, 'redshifts/nmad_bin_2': 0.08822699636220932, 'redshifts/nmad_bin_3': 0.06881016492843628, 'redshifts/nmad_bin_4': 0.06258244067430496, 'redshifts/nmad_bin_5': 0.035367339849472046, 'redshifts/outlier_fraction': 0.32444483041763306, 'redshifts/outlier_fraction_bin_0': 0.4891399145126343, 'redshifts/outlier_fraction_bin_1': 0.3552993834018707, 'redshifts/outlier_fraction_bin_2': 0.2587556540966034, 'redshifts/outlier_fraction_bin_3': 0.1914660781621933, 'redshifts/outlier_fraction_bin_4': 0.18070067465305328, 'redshifts/outlier_fraction_bin_5': 0.0918315052986145, 'redshifts/outlier_fraction_cata': 0.08730141818523407, 'redshifts/outlier_fraction_cata_bin_0': 0.13090315461158752, 'redshifts/outlier_fraction_cata_bin_1': 0.09953544288873672, 'redshifts/outlier_fraction_cata_bin_2': 0.07766789942979813, 'redshifts/outlier_fraction_cata_bin_3': 0.05616338551044464, 'redshifts/outlier_fraction_cata_bin_4': 0.05101413652300835, 'redshifts/outlier_fraction_cata_bin_5': 0.015578558668494225}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 743/1563 [1:09:45<1:05:39, 4.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47854.])\n", + "total num of pts: tensor([17205., 11643., 4859., 2747., 1630., 9770.])\n", + "{'redshifts/bias_abs': 0.07533714920282364, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004215889144688845, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 5.726977633457864e-06, 'redshifts/mse': 0.30806678533554077, 'redshifts/mse_bin_0': 0.4365581274032593, 'redshifts/mse_bin_1': 0.36568206548690796, 'redshifts/mse_bin_2': 0.2828180491924286, 'redshifts/mse_bin_3': 0.21048001945018768, 'redshifts/mse_bin_4': 0.20909573137760162, 'redshifts/mse_bin_5': 0.0696418434381485, 'redshifts/nmad': 0.11155874282121658, 'redshifts/nmad_bin_0': 0.2136204093694687, 'redshifts/nmad_bin_1': 0.1340751349925995, 'redshifts/nmad_bin_2': 0.0882502943277359, 'redshifts/nmad_bin_3': 0.06892707198858261, 'redshifts/nmad_bin_4': 0.062177930027246475, 'redshifts/nmad_bin_5': 0.03535355627536774, 'redshifts/outlier_fraction': 0.3243198096752167, 'redshifts/outlier_fraction_bin_0': 0.4888695180416107, 'redshifts/outlier_fraction_bin_1': 0.35523489117622375, 'redshifts/outlier_fraction_bin_2': 0.25869521498680115, 'redshifts/outlier_fraction_bin_3': 0.19148162007331848, 'redshifts/outlier_fraction_bin_4': 0.1803680956363678, 'redshifts/outlier_fraction_bin_5': 0.09170931577682495, 'redshifts/outlier_fraction_cata': 0.08726543188095093, 'redshifts/outlier_fraction_cata_bin_0': 0.13083405792713165, 'redshifts/outlier_fraction_cata_bin_1': 0.09954479336738586, 'redshifts/outlier_fraction_cata_bin_2': 0.07758798450231552, 'redshifts/outlier_fraction_cata_bin_3': 0.05606115609407425, 'redshifts/outlier_fraction_cata_bin_4': 0.05092024430632591, 'redshifts/outlier_fraction_cata_bin_5': 0.015557830221951008}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 744/1563 [1:09:52<1:14:21, 5.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47904.])\n", + "total num of pts: tensor([17221., 11650., 4864., 2753., 1631., 9785.])\n", + "{'redshifts/bias_abs': 0.0752960741519928, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004215889144688845, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 5.005950242775725e-06, 'redshifts/mse': 0.30823975801467896, 'redshifts/mse_bin_0': 0.4371110796928406, 'redshifts/mse_bin_1': 0.3660196363925934, 'redshifts/mse_bin_2': 0.28255441784858704, 'redshifts/mse_bin_3': 0.21015208959579468, 'redshifts/mse_bin_4': 0.20896776020526886, 'redshifts/mse_bin_5': 0.06955536454916, 'redshifts/nmad': 0.1115037128329277, 'redshifts/nmad_bin_0': 0.2136547714471817, 'redshifts/nmad_bin_1': 0.1340286135673523, 'redshifts/nmad_bin_2': 0.0882502943277359, 'redshifts/nmad_bin_3': 0.068904809653759, 'redshifts/nmad_bin_4': 0.062177930027246475, 'redshifts/nmad_bin_5': 0.0353316031396389, 'redshifts/outlier_fraction': 0.32429441809654236, 'redshifts/outlier_fraction_bin_0': 0.4889379143714905, 'redshifts/outlier_fraction_bin_1': 0.35527896881103516, 'redshifts/outlier_fraction_bin_2': 0.25842928886413574, 'redshifts/outlier_fraction_bin_3': 0.19179077446460724, 'redshifts/outlier_fraction_bin_4': 0.18025751411914825, 'redshifts/outlier_fraction_bin_5': 0.091670922935009, 'redshifts/outlier_fraction_cata': 0.08736222237348557, 'redshifts/outlier_fraction_cata_bin_0': 0.1310609132051468, 'redshifts/outlier_fraction_cata_bin_1': 0.09974248707294464, 'redshifts/outlier_fraction_cata_bin_2': 0.07750822603702545, 'redshifts/outlier_fraction_cata_bin_3': 0.055938974022865295, 'redshifts/outlier_fraction_cata_bin_4': 0.0508890263736248, 'redshifts/outlier_fraction_cata_bin_5': 0.015533980913460255}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 745/1563 [1:09:59<1:20:31, 5.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([47961.])\n", + "total num of pts: tensor([17246., 11665., 4868., 2755., 1633., 9794.])\n", + "{'redshifts/bias_abs': 0.07534721493721008, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004232398699969053, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 2.473592758178711e-06, 'redshifts/mse': 0.30842992663383484, 'redshifts/mse_bin_0': 0.437441349029541, 'redshifts/mse_bin_1': 0.3661648631095886, 'redshifts/mse_bin_2': 0.28287240862846375, 'redshifts/mse_bin_3': 0.210004985332489, 'redshifts/mse_bin_4': 0.20871326327323914, 'redshifts/mse_bin_5': 0.06951052695512772, 'redshifts/nmad': 0.11155045032501221, 'redshifts/nmad_bin_0': 0.2137712687253952, 'redshifts/nmad_bin_1': 0.13409051299095154, 'redshifts/nmad_bin_2': 0.08828712999820709, 'redshifts/nmad_bin_3': 0.06904816627502441, 'redshifts/nmad_bin_4': 0.06251475214958191, 'redshifts/nmad_bin_5': 0.03532784804701805, 'redshifts/outlier_fraction': 0.32445111870765686, 'redshifts/outlier_fraction_bin_0': 0.48915690183639526, 'redshifts/outlier_fraction_bin_1': 0.3555079400539398, 'redshifts/outlier_fraction_bin_2': 0.2584223449230194, 'redshifts/outlier_fraction_bin_3': 0.19165153801441193, 'redshifts/outlier_fraction_bin_4': 0.1800367385149002, 'redshifts/outlier_fraction_bin_5': 0.09168878942728043, 'redshifts/outlier_fraction_cata': 0.08746690303087234, 'redshifts/outlier_fraction_cata_bin_0': 0.13116085529327393, 'redshifts/outlier_fraction_cata_bin_1': 0.09995713829994202, 'redshifts/outlier_fraction_cata_bin_2': 0.07764995843172073, 'redshifts/outlier_fraction_cata_bin_3': 0.05589836835861206, 'redshifts/outlier_fraction_cata_bin_4': 0.050826698541641235, 'redshifts/outlier_fraction_cata_bin_5': 0.015519705601036549}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 746/1563 [1:10:06<1:26:46, 6.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48020.])\n", + "total num of pts: tensor([17268., 11679., 4876., 2759., 1633., 9805.])\n", + "{'redshifts/bias_abs': 0.07536805421113968, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004231893457472324, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.2033675034217595e-07, 'redshifts/mse': 0.30828073620796204, 'redshifts/mse_bin_0': 0.43718045949935913, 'redshifts/mse_bin_1': 0.3659367561340332, 'redshifts/mse_bin_2': 0.283080518245697, 'redshifts/mse_bin_3': 0.20970478653907776, 'redshifts/mse_bin_4': 0.20871326327323914, 'redshifts/mse_bin_5': 0.0694492980837822, 'redshifts/nmad': 0.1115512028336525, 'redshifts/nmad_bin_0': 0.21380558609962463, 'redshifts/nmad_bin_1': 0.13404420018196106, 'redshifts/nmad_bin_2': 0.08822699636220932, 'redshifts/nmad_bin_3': 0.06881016492843628, 'redshifts/nmad_bin_4': 0.06251475214958191, 'redshifts/nmad_bin_5': 0.03532436117529869, 'redshifts/outlier_fraction': 0.3244273364543915, 'redshifts/outlier_fraction_bin_0': 0.48917073011398315, 'redshifts/outlier_fraction_bin_1': 0.35542425513267517, 'redshifts/outlier_fraction_bin_2': 0.2584085464477539, 'redshifts/outlier_fraction_bin_3': 0.19137369096279144, 'redshifts/outlier_fraction_bin_4': 0.1800367385149002, 'redshifts/outlier_fraction_bin_5': 0.09168791770935059, 'redshifts/outlier_fraction_cata': 0.08740108460187912, 'redshifts/outlier_fraction_cata_bin_0': 0.1310516595840454, 'redshifts/outlier_fraction_cata_bin_1': 0.09983731806278229, 'redshifts/outlier_fraction_cata_bin_2': 0.07772764563560486, 'redshifts/outlier_fraction_cata_bin_3': 0.05581732466816902, 'redshifts/outlier_fraction_cata_bin_4': 0.050826698541641235, 'redshifts/outlier_fraction_cata_bin_5': 0.015502294525504112}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 747/1563 [1:10:13<1:30:43, 6.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48088.])\n", + "total num of pts: tensor([17296., 11699., 4883., 2765., 1635., 9810.])\n", + "{'redshifts/bias_abs': 0.07534721493721008, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004231893457472324, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -2.405151235507219e-06, 'redshifts/mse': 0.308317631483078, 'redshifts/mse_bin_0': 0.4368720054626465, 'redshifts/mse_bin_1': 0.36639928817749023, 'redshifts/mse_bin_2': 0.28319743275642395, 'redshifts/mse_bin_3': 0.20929162204265594, 'redshifts/mse_bin_4': 0.2086937427520752, 'redshifts/mse_bin_5': 0.06941860169172287, 'redshifts/nmad': 0.11153670400381088, 'redshifts/nmad_bin_0': 0.213806614279747, 'redshifts/nmad_bin_1': 0.13391375541687012, 'redshifts/nmad_bin_2': 0.08828774094581604, 'redshifts/nmad_bin_3': 0.0688016414642334, 'redshifts/nmad_bin_4': 0.06253426522016525, 'redshifts/nmad_bin_5': 0.0353044755756855, 'redshifts/outlier_fraction': 0.3244468569755554, 'redshifts/outlier_fraction_bin_0': 0.48907262086868286, 'redshifts/outlier_fraction_bin_1': 0.3554149866104126, 'redshifts/outlier_fraction_bin_2': 0.2582428753376007, 'redshifts/outlier_fraction_bin_3': 0.19132007658481598, 'redshifts/outlier_fraction_bin_4': 0.1810397505760193, 'redshifts/outlier_fraction_bin_5': 0.09164118021726608, 'redshifts/outlier_fraction_cata': 0.08740226179361343, 'redshifts/outlier_fraction_cata_bin_0': 0.1310129463672638, 'redshifts/outlier_fraction_cata_bin_1': 0.09983759373426437, 'redshifts/outlier_fraction_cata_bin_2': 0.07782100886106491, 'redshifts/outlier_fraction_cata_bin_3': 0.05569620430469513, 'redshifts/outlier_fraction_cata_bin_4': 0.050764527171850204, 'redshifts/outlier_fraction_cata_bin_5': 0.015494393184781075}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 748/1563 [1:10:19<1:24:42, 6.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48157.])\n", + "total num of pts: tensor([17323., 11716., 4890., 2769., 1636., 9823.])\n", + "{'redshifts/bias_abs': 0.07537964731454849, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004251072183251381, 'redshifts/bias_bin_0': 0.028232475742697716, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.2033675034217595e-07, 'redshifts/mse': 0.3083789646625519, 'redshifts/mse_bin_0': 0.4371972680091858, 'redshifts/mse_bin_1': 0.36636748909950256, 'redshifts/mse_bin_2': 0.2828578054904938, 'redshifts/mse_bin_3': 0.20902374386787415, 'redshifts/mse_bin_4': 0.2085743397474289, 'redshifts/mse_bin_5': 0.06937853991985321, 'redshifts/nmad': 0.11155176162719727, 'redshifts/nmad_bin_0': 0.21385465562343597, 'redshifts/nmad_bin_1': 0.13389718532562256, 'redshifts/nmad_bin_2': 0.08828712999820709, 'redshifts/nmad_bin_3': 0.06892707198858261, 'redshifts/nmad_bin_4': 0.06258244067430496, 'redshifts/nmad_bin_5': 0.03527219220995903, 'redshifts/outlier_fraction': 0.32445958256721497, 'redshifts/outlier_fraction_bin_0': 0.48923397064208984, 'redshifts/outlier_fraction_bin_1': 0.355155348777771, 'redshifts/outlier_fraction_bin_2': 0.2580777108669281, 'redshifts/outlier_fraction_bin_3': 0.19140483438968658, 'redshifts/outlier_fraction_bin_4': 0.18092909455299377, 'redshifts/outlier_fraction_bin_5': 0.09172350913286209, 'redshifts/outlier_fraction_cata': 0.08738085627555847, 'redshifts/outlier_fraction_cata_bin_0': 0.13103966414928436, 'redshifts/outlier_fraction_cata_bin_1': 0.09977807849645615, 'redshifts/outlier_fraction_cata_bin_2': 0.0777096077799797, 'redshifts/outlier_fraction_cata_bin_3': 0.05561574548482895, 'redshifts/outlier_fraction_cata_bin_4': 0.05073349550366402, 'redshifts/outlier_fraction_cata_bin_5': 0.015473888255655766}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 749/1563 [1:10:26<1:30:05, 6.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48216.])\n", + "total num of pts: tensor([17346., 11731., 4896., 2769., 1638., 9836.])\n", + "{'redshifts/bias_abs': 0.07537379860877991, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004256457556039095, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 2.473592758178711e-06, 'redshifts/mse': 0.30826377868652344, 'redshifts/mse_bin_0': 0.43688350915908813, 'redshifts/mse_bin_1': 0.36656272411346436, 'redshifts/mse_bin_2': 0.2825206220149994, 'redshifts/mse_bin_3': 0.20902374386787415, 'redshifts/mse_bin_4': 0.2083301991224289, 'redshifts/mse_bin_5': 0.06930473446846008, 'redshifts/nmad': 0.1115516722202301, 'redshifts/nmad_bin_0': 0.21377940475940704, 'redshifts/nmad_bin_1': 0.13406652212142944, 'redshifts/nmad_bin_2': 0.08811422437429428, 'redshifts/nmad_bin_3': 0.06892707198858261, 'redshifts/nmad_bin_4': 0.062177930027246475, 'redshifts/nmad_bin_5': 0.03523298725485802, 'redshifts/outlier_fraction': 0.32443585991859436, 'redshifts/outlier_fraction_bin_0': 0.48921942710876465, 'redshifts/outlier_fraction_bin_1': 0.3552126884460449, 'redshifts/outlier_fraction_bin_2': 0.2577614486217499, 'redshifts/outlier_fraction_bin_3': 0.19140483438968658, 'redshifts/outlier_fraction_bin_4': 0.18070818483829498, 'redshifts/outlier_fraction_bin_5': 0.09170394390821457, 'redshifts/outlier_fraction_cata': 0.08731541037559509, 'redshifts/outlier_fraction_cata_bin_0': 0.1308659017086029, 'redshifts/outlier_fraction_cata_bin_1': 0.09982098639011383, 'redshifts/outlier_fraction_cata_bin_2': 0.07761438190937042, 'redshifts/outlier_fraction_cata_bin_3': 0.05561574548482895, 'redshifts/outlier_fraction_cata_bin_4': 0.05067155137658119, 'redshifts/outlier_fraction_cata_bin_5': 0.01545343641191721}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 750/1563 [1:10:31<1:24:04, 6.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48266.])\n", + "total num of pts: tensor([17369., 11738., 4901., 2770., 1641., 9847.])\n", + "{'redshifts/bias_abs': 0.07539919018745422, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004252952057868242, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 5.726977633457864e-06, 'redshifts/mse': 0.30818474292755127, 'redshifts/mse_bin_0': 0.43660229444503784, 'redshifts/mse_bin_1': 0.3665078580379486, 'redshifts/mse_bin_2': 0.28310590982437134, 'redshifts/mse_bin_3': 0.20894916355609894, 'redshifts/mse_bin_4': 0.20795129239559174, 'redshifts/mse_bin_5': 0.06925033777952194, 'redshifts/nmad': 0.1116182804107666, 'redshifts/nmad_bin_0': 0.21391619741916656, 'redshifts/nmad_bin_1': 0.13397951424121857, 'redshifts/nmad_bin_2': 0.08831948786973953, 'redshifts/nmad_bin_3': 0.0688016414642334, 'redshifts/nmad_bin_4': 0.06213686987757683, 'redshifts/nmad_bin_5': 0.03529242053627968, 'redshifts/outlier_fraction': 0.3245348632335663, 'redshifts/outlier_fraction_bin_0': 0.48937761783599854, 'redshifts/outlier_fraction_bin_1': 0.35517123341560364, 'redshifts/outlier_fraction_bin_2': 0.2583146393299103, 'redshifts/outlier_fraction_bin_3': 0.1913357377052307, 'redshifts/outlier_fraction_bin_4': 0.1803778111934662, 'redshifts/outlier_fraction_bin_5': 0.09170305728912354, 'redshifts/outlier_fraction_cata': 0.08732855319976807, 'redshifts/outlier_fraction_cata_bin_0': 0.1308077573776245, 'redshifts/outlier_fraction_cata_bin_1': 0.09984665364027023, 'redshifts/outlier_fraction_cata_bin_2': 0.07794328033924103, 'redshifts/outlier_fraction_cata_bin_3': 0.05559566617012024, 'redshifts/outlier_fraction_cata_bin_4': 0.05057891458272934, 'redshifts/outlier_fraction_cata_bin_5': 0.015436173416674137}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 751/1563 [1:10:36<1:19:17, 5.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48343.])\n", + "total num of pts: tensor([17393., 11757., 4911., 2774., 1645., 9863.])\n", + "{'redshifts/bias_abs': 0.07543665170669556, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004260141868144274, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.4086805094848387e-05, 'redshifts/mse': 0.30858638882637024, 'redshifts/mse_bin_0': 0.43658092617988586, 'redshifts/mse_bin_1': 0.3666820228099823, 'redshifts/mse_bin_2': 0.2859039306640625, 'redshifts/mse_bin_3': 0.21067318320274353, 'redshifts/mse_bin_4': 0.20801174640655518, 'redshifts/mse_bin_5': 0.06922992318868637, 'redshifts/nmad': 0.11167212575674057, 'redshifts/nmad_bin_0': 0.21393263339996338, 'redshifts/nmad_bin_1': 0.13425478339195251, 'redshifts/nmad_bin_2': 0.08847153931856155, 'redshifts/nmad_bin_3': 0.0689195841550827, 'redshifts/nmad_bin_4': 0.06251475214958191, 'redshifts/nmad_bin_5': 0.035352349281311035, 'redshifts/outlier_fraction': 0.32470056414604187, 'redshifts/outlier_fraction_bin_0': 0.48956477642059326, 'redshifts/outlier_fraction_bin_1': 0.3551926612854004, 'redshifts/outlier_fraction_bin_2': 0.25860312581062317, 'redshifts/outlier_fraction_bin_3': 0.19142033159732819, 'redshifts/outlier_fraction_bin_4': 0.18054711818695068, 'redshifts/outlier_fraction_bin_5': 0.09206123650074005, 'redshifts/outlier_fraction_cata': 0.08741699904203415, 'redshifts/outlier_fraction_cata_bin_0': 0.13085724413394928, 'redshifts/outlier_fraction_cata_bin_1': 0.09985540807247162, 'redshifts/outlier_fraction_cata_bin_2': 0.07859906554222107, 'redshifts/outlier_fraction_cata_bin_3': 0.0558759905397892, 'redshifts/outlier_fraction_cata_bin_4': 0.05045592784881592, 'redshifts/outlier_fraction_cata_bin_5': 0.01541113294661045}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 752/1563 [1:10:42<1:19:36, 5.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48406.])\n", + "total num of pts: tensor([17413., 11768., 4924., 2777., 1648., 9876.])\n", + "{'redshifts/bias_abs': 0.07542234659194946, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004260141868144274, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 5.726977633457864e-06, 'redshifts/mse': 0.3084486722946167, 'redshifts/mse_bin_0': 0.43635714054107666, 'redshifts/mse_bin_1': 0.3668316900730133, 'redshifts/mse_bin_2': 0.2852121889591217, 'redshifts/mse_bin_3': 0.2105044275522232, 'redshifts/mse_bin_4': 0.20857937633991241, 'redshifts/mse_bin_5': 0.06915026158094406, 'redshifts/nmad': 0.11165043711662292, 'redshifts/nmad_bin_0': 0.2138187736272812, 'redshifts/nmad_bin_1': 0.1342821717262268, 'redshifts/nmad_bin_2': 0.08835872262716293, 'redshifts/nmad_bin_3': 0.0689195841550827, 'redshifts/nmad_bin_4': 0.06200212240219116, 'redshifts/nmad_bin_5': 0.0352805070579052, 'redshifts/outlier_fraction': 0.3245878517627716, 'redshifts/outlier_fraction_bin_0': 0.48928961157798767, 'redshifts/outlier_fraction_bin_1': 0.3554554581642151, 'redshifts/outlier_fraction_bin_2': 0.2581234872341156, 'redshifts/outlier_fraction_bin_3': 0.1915736347436905, 'redshifts/outlier_fraction_bin_4': 0.18082524836063385, 'redshifts/outlier_fraction_bin_5': 0.09194006025791168, 'redshifts/outlier_fraction_cata': 0.08740652352571487, 'redshifts/outlier_fraction_cata_bin_0': 0.1308792233467102, 'redshifts/outlier_fraction_cata_bin_1': 0.09984704107046127, 'redshifts/outlier_fraction_cata_bin_2': 0.07839155197143555, 'redshifts/outlier_fraction_cata_bin_3': 0.05581562966108322, 'redshifts/outlier_fraction_cata_bin_4': 0.05097087472677231, 'redshifts/outlier_fraction_cata_bin_5': 0.015390846878290176}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 753/1563 [1:10:48<1:18:48, 5.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48474.])\n", + "total num of pts: tensor([17442., 11782., 4927., 2786., 1651., 9886.])\n", + "{'redshifts/bias_abs': 0.07542970031499863, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004251072183251381, 'redshifts/bias_bin_0': 0.028232475742697716, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 5.005950242775725e-06, 'redshifts/mse': 0.30846986174583435, 'redshifts/mse_bin_0': 0.43605178594589233, 'redshifts/mse_bin_1': 0.3675604462623596, 'redshifts/mse_bin_2': 0.28506678342819214, 'redshifts/mse_bin_3': 0.20989271998405457, 'redshifts/mse_bin_4': 0.2084714025259018, 'redshifts/mse_bin_5': 0.06909823417663574, 'redshifts/nmad': 0.11165185272693634, 'redshifts/nmad_bin_0': 0.213740736246109, 'redshifts/nmad_bin_1': 0.13436441123485565, 'redshifts/nmad_bin_2': 0.08834545314311981, 'redshifts/nmad_bin_3': 0.06910461187362671, 'redshifts/nmad_bin_4': 0.06251475214958191, 'redshifts/nmad_bin_5': 0.03529348969459534, 'redshifts/outlier_fraction': 0.3246070146560669, 'redshifts/outlier_fraction_bin_0': 0.4889920949935913, 'redshifts/outlier_fraction_bin_1': 0.3557969927787781, 'redshifts/outlier_fraction_bin_2': 0.2579663097858429, 'redshifts/outlier_fraction_bin_3': 0.1916726529598236, 'redshifts/outlier_fraction_bin_4': 0.18170805275440216, 'redshifts/outlier_fraction_bin_5': 0.09194821119308472, 'redshifts/outlier_fraction_cata': 0.087407685816288, 'redshifts/outlier_fraction_cata_bin_0': 0.13071896135807037, 'redshifts/outlier_fraction_cata_bin_1': 0.10015277564525604, 'redshifts/outlier_fraction_cata_bin_2': 0.07834381610155106, 'redshifts/outlier_fraction_cata_bin_3': 0.05563531816005707, 'redshifts/outlier_fraction_cata_bin_4': 0.05087825655937195, 'redshifts/outlier_fraction_cata_bin_5': 0.01537527795881033}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 754/1563 [1:10:55<1:23:53, 6.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48534.])\n", + "total num of pts: tensor([17461., 11795., 4934., 2789., 1652., 9903.])\n", + "{'redshifts/bias_abs': 0.07542740553617477, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.00424924585968256, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 1.4086805094848387e-05, 'redshifts/mse': 0.3083668351173401, 'redshifts/mse_bin_0': 0.43566423654556274, 'redshifts/mse_bin_1': 0.367646187543869, 'redshifts/mse_bin_2': 0.2854061424732208, 'redshifts/mse_bin_3': 0.2096707671880722, 'redshifts/mse_bin_4': 0.20834535360336304, 'redshifts/mse_bin_5': 0.06923414021730423, 'redshifts/nmad': 0.11164986342191696, 'redshifts/nmad_bin_0': 0.21367159485816956, 'redshifts/nmad_bin_1': 0.1345941722393036, 'redshifts/nmad_bin_2': 0.08831139653921127, 'redshifts/nmad_bin_3': 0.0689195841550827, 'redshifts/nmad_bin_4': 0.06200212240219116, 'redshifts/nmad_bin_5': 0.035352349281311035, 'redshifts/outlier_fraction': 0.32461780309677124, 'redshifts/outlier_fraction_bin_0': 0.4887463450431824, 'redshifts/outlier_fraction_bin_1': 0.35608309507369995, 'redshifts/outlier_fraction_bin_2': 0.25820836424827576, 'redshifts/outlier_fraction_bin_3': 0.19146648049354553, 'redshifts/outlier_fraction_bin_4': 0.18159806728363037, 'redshifts/outlier_fraction_bin_5': 0.09219428151845932, 'redshifts/outlier_fraction_cata': 0.08736144006252289, 'redshifts/outlier_fraction_cata_bin_0': 0.1305767148733139, 'redshifts/outlier_fraction_cata_bin_1': 0.10012717545032501, 'redshifts/outlier_fraction_cata_bin_2': 0.07843534648418427, 'redshifts/outlier_fraction_cata_bin_3': 0.055575475096702576, 'redshifts/outlier_fraction_cata_bin_4': 0.050847455859184265, 'redshifts/outlier_fraction_cata_bin_5': 0.015449863858520985}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 755/1563 [1:11:01<1:23:01, 6.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48589.])\n", + "total num of pts: tensor([17478., 11813., 4940., 2791., 1653., 9914.])\n", + "{'redshifts/bias_abs': 0.07542970031499863, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.00424843467772007, 'redshifts/bias_bin_0': 0.028032446280121803, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 5.726977633457864e-06, 'redshifts/mse': 0.3081868290901184, 'redshifts/mse_bin_0': 0.43536892533302307, 'redshifts/mse_bin_1': 0.36733415722846985, 'redshifts/mse_bin_2': 0.28566139936447144, 'redshifts/mse_bin_3': 0.20952759683132172, 'redshifts/mse_bin_4': 0.208223357796669, 'redshifts/mse_bin_5': 0.06916093081235886, 'redshifts/nmad': 0.11164949089288712, 'redshifts/nmad_bin_0': 0.21344418823719025, 'redshifts/nmad_bin_1': 0.13466128706932068, 'redshifts/nmad_bin_2': 0.08840003609657288, 'redshifts/nmad_bin_3': 0.0689195841550827, 'redshifts/nmad_bin_4': 0.06251475214958191, 'redshifts/nmad_bin_5': 0.03536474332213402, 'redshifts/outlier_fraction': 0.3245796263217926, 'redshifts/outlier_fraction_bin_0': 0.4886714816093445, 'redshifts/outlier_fraction_bin_1': 0.3561330735683441, 'redshifts/outlier_fraction_bin_2': 0.2582995891571045, 'redshifts/outlier_fraction_bin_3': 0.19132927060127258, 'redshifts/outlier_fraction_bin_4': 0.18148820102214813, 'redshifts/outlier_fraction_bin_5': 0.09209199249744415, 'redshifts/outlier_fraction_cata': 0.08732429146766663, 'redshifts/outlier_fraction_cata_bin_0': 0.13044971227645874, 'redshifts/outlier_fraction_cata_bin_1': 0.10005925595760345, 'redshifts/outlier_fraction_cata_bin_2': 0.07874494045972824, 'redshifts/outlier_fraction_cata_bin_3': 0.05553565174341202, 'redshifts/outlier_fraction_cata_bin_4': 0.050816696137189865, 'redshifts/outlier_fraction_cata_bin_5': 0.015432721003890038}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 756/1563 [1:11:07<1:21:49, 6.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48639.])\n", + "total num of pts: tensor([17496., 11830., 4945., 2793., 1654., 9921.])\n", + "{'redshifts/bias_abs': 0.07543665170669556, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004252952057868242, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.554123628011439e-05, 'redshifts/mse': 0.3081815242767334, 'redshifts/mse_bin_0': 0.4356123208999634, 'redshifts/mse_bin_1': 0.36702385544776917, 'redshifts/mse_bin_2': 0.2854645848274231, 'redshifts/mse_bin_3': 0.2093793898820877, 'redshifts/mse_bin_4': 0.20809748768806458, 'redshifts/mse_bin_5': 0.06911411881446838, 'redshifts/nmad': 0.11165619641542435, 'redshifts/nmad_bin_0': 0.21343569457530975, 'redshifts/nmad_bin_1': 0.13480070233345032, 'redshifts/nmad_bin_2': 0.0883258581161499, 'redshifts/nmad_bin_3': 0.0688016414642334, 'redshifts/nmad_bin_4': 0.06212959066033363, 'redshifts/nmad_bin_5': 0.03536810725927353, 'redshifts/outlier_fraction': 0.3246366083621979, 'redshifts/outlier_fraction_bin_0': 0.48874029517173767, 'redshifts/outlier_fraction_bin_1': 0.3562975525856018, 'redshifts/outlier_fraction_bin_2': 0.25824064016342163, 'redshifts/outlier_fraction_bin_3': 0.19119226932525635, 'redshifts/outlier_fraction_bin_4': 0.18137848377227783, 'redshifts/outlier_fraction_bin_5': 0.09202701598405838, 'redshifts/outlier_fraction_cata': 0.08731675893068314, 'redshifts/outlier_fraction_cata_bin_0': 0.13054412603378296, 'redshifts/outlier_fraction_cata_bin_1': 0.09991546720266342, 'redshifts/outlier_fraction_cata_bin_2': 0.07866531610488892, 'redshifts/outlier_fraction_cata_bin_3': 0.05549588426947594, 'redshifts/outlier_fraction_cata_bin_4': 0.05078597366809845, 'redshifts/outlier_fraction_cata_bin_5': 0.015421832911670208}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 757/1563 [1:11:12<1:16:09, 5.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48690.])\n", + "total num of pts: tensor([17517., 11843., 4949., 2796., 1655., 9930.])\n", + "{'redshifts/bias_abs': 0.07542234659194946, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004252952057868242, 'redshifts/bias_bin_0': 0.028058385476469994, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 5.726977633457864e-06, 'redshifts/mse': 0.3080882728099823, 'redshifts/mse_bin_0': 0.4353691041469574, 'redshifts/mse_bin_1': 0.36687707901000977, 'redshifts/mse_bin_2': 0.2853684723377228, 'redshifts/mse_bin_3': 0.2100684493780136, 'redshifts/mse_bin_4': 0.20797176659107208, 'redshifts/mse_bin_5': 0.0690552368760109, 'redshifts/nmad': 0.11163977533578873, 'redshifts/nmad_bin_0': 0.21334324777126312, 'redshifts/nmad_bin_1': 0.13477548956871033, 'redshifts/nmad_bin_2': 0.08832370489835739, 'redshifts/nmad_bin_3': 0.0688016414642334, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.03535355627536774, 'redshifts/outlier_fraction': 0.32456356287002563, 'redshifts/outlier_fraction_bin_0': 0.48866814374923706, 'redshifts/outlier_fraction_bin_1': 0.3559908866882324, 'redshifts/outlier_fraction_bin_2': 0.2582339942455292, 'redshifts/outlier_fraction_bin_3': 0.19170242547988892, 'redshifts/outlier_fraction_bin_4': 0.18126888573169708, 'redshifts/outlier_fraction_bin_5': 0.09194360673427582, 'redshifts/outlier_fraction_cata': 0.08728691935539246, 'redshifts/outlier_fraction_cata_bin_0': 0.1304447054862976, 'redshifts/outlier_fraction_cata_bin_1': 0.09989023208618164, 'redshifts/outlier_fraction_cata_bin_2': 0.07860174030065536, 'redshifts/outlier_fraction_cata_bin_3': 0.055793993175029755, 'redshifts/outlier_fraction_cata_bin_4': 0.05075528845191002, 'redshifts/outlier_fraction_cata_bin_5': 0.015407854691147804}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 48%|████▊ | 758/1563 [1:11:16<1:10:31, 5.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48745.])\n", + "total num of pts: tensor([17535., 11860., 4951., 2803., 1655., 9941.])\n", + "{'redshifts/bias_abs': 0.0754220113158226, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004253976047039032, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 5.005950242775725e-06, 'redshifts/mse': 0.3080065846443176, 'redshifts/mse_bin_0': 0.43513399362564087, 'redshifts/mse_bin_1': 0.36660632491111755, 'redshifts/mse_bin_2': 0.28528109192848206, 'redshifts/mse_bin_3': 0.2115730196237564, 'redshifts/mse_bin_4': 0.20797176659107208, 'redshifts/mse_bin_5': 0.06901866942644119, 'redshifts/nmad': 0.11163251847028732, 'redshifts/nmad_bin_0': 0.21330085396766663, 'redshifts/nmad_bin_1': 0.1346525251865387, 'redshifts/nmad_bin_2': 0.0883321464061737, 'redshifts/nmad_bin_3': 0.06903338432312012, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.03535248711705208, 'redshifts/outlier_fraction': 0.32454609870910645, 'redshifts/outlier_fraction_bin_0': 0.48856571316719055, 'redshifts/outlier_fraction_bin_1': 0.35590219497680664, 'redshifts/outlier_fraction_bin_2': 0.25812965631484985, 'redshifts/outlier_fraction_bin_3': 0.19229397177696228, 'redshifts/outlier_fraction_bin_4': 0.18126888573169708, 'redshifts/outlier_fraction_bin_5': 0.09204305708408356, 'redshifts/outlier_fraction_cata': 0.08724997192621231, 'redshifts/outlier_fraction_cata_bin_0': 0.13036783039569855, 'redshifts/outlier_fraction_cata_bin_1': 0.09983136504888535, 'redshifts/outlier_fraction_cata_bin_2': 0.07856998592615128, 'redshifts/outlier_fraction_cata_bin_3': 0.056011416018009186, 'redshifts/outlier_fraction_cata_bin_4': 0.05075528845191002, 'redshifts/outlier_fraction_cata_bin_5': 0.015390805900096893}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▊ | 759/1563 [1:11:22<1:12:02, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48796.])\n", + "total num of pts: tensor([17554., 11872., 4956., 2805., 1657., 9952.])\n", + "{'redshifts/bias_abs': 0.07541840523481369, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004251795820891857, 'redshifts/bias_bin_0': 0.02815573289990425, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.2033675034217595e-07, 'redshifts/mse': 0.3080560564994812, 'redshifts/mse_bin_0': 0.43521764874458313, 'redshifts/mse_bin_1': 0.36638617515563965, 'redshifts/mse_bin_2': 0.285993367433548, 'redshifts/mse_bin_3': 0.21142370998859406, 'redshifts/mse_bin_4': 0.20773348212242126, 'redshifts/mse_bin_5': 0.06910490244626999, 'redshifts/nmad': 0.11162866652011871, 'redshifts/nmad_bin_0': 0.21341346204280853, 'redshifts/nmad_bin_1': 0.1346171796321869, 'redshifts/nmad_bin_2': 0.08833544701337814, 'redshifts/nmad_bin_3': 0.06904816627502441, 'redshifts/nmad_bin_4': 0.06212959066033363, 'redshifts/nmad_bin_5': 0.03532436117529869, 'redshifts/outlier_fraction': 0.32461676001548767, 'redshifts/outlier_fraction_bin_0': 0.48872050642967224, 'redshifts/outlier_fraction_bin_1': 0.35587936639785767, 'redshifts/outlier_fraction_bin_2': 0.25847458839416504, 'redshifts/outlier_fraction_bin_3': 0.1921568661928177, 'redshifts/outlier_fraction_bin_4': 0.18105009198188782, 'redshifts/outlier_fraction_bin_5': 0.09204179793596268, 'redshifts/outlier_fraction_cata': 0.08726125210523605, 'redshifts/outlier_fraction_cata_bin_0': 0.13039763271808624, 'redshifts/outlier_fraction_cata_bin_1': 0.0997304618358612, 'redshifts/outlier_fraction_cata_bin_2': 0.0786924958229065, 'redshifts/outlier_fraction_cata_bin_3': 0.055971480906009674, 'redshifts/outlier_fraction_cata_bin_4': 0.05069402605295181, 'redshifts/outlier_fraction_cata_bin_5': 0.01547427661716938}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▊ | 760/1563 [1:11:27<1:10:46, 5.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48858.])\n", + "total num of pts: tensor([17575., 11890., 4960., 2808., 1660., 9965.])\n", + "{'redshifts/bias_abs': 0.07541840523481369, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004245568998157978, 'redshifts/bias_bin_0': 0.028058385476469994, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 5.005950242775725e-06, 'redshifts/mse': 0.30796530842781067, 'redshifts/mse_bin_0': 0.43515515327453613, 'redshifts/mse_bin_1': 0.36632785201072693, 'redshifts/mse_bin_2': 0.28577324748039246, 'redshifts/mse_bin_3': 0.21129725873470306, 'redshifts/mse_bin_4': 0.20743663609027863, 'redshifts/mse_bin_5': 0.06904103606939316, 'redshifts/nmad': 0.11162883043289185, 'redshifts/nmad_bin_0': 0.21333418786525726, 'redshifts/nmad_bin_1': 0.1346171796321869, 'redshifts/nmad_bin_2': 0.08833692222833633, 'redshifts/nmad_bin_3': 0.06910461187362671, 'redshifts/nmad_bin_4': 0.06200212240219116, 'redshifts/nmad_bin_5': 0.03529348969459534, 'redshifts/outlier_fraction': 0.3245527744293213, 'redshifts/outlier_fraction_bin_0': 0.4887055456638336, 'redshifts/outlier_fraction_bin_1': 0.3557611405849457, 'redshifts/outlier_fraction_bin_2': 0.2582661211490631, 'redshifts/outlier_fraction_bin_3': 0.19230769574642181, 'redshifts/outlier_fraction_bin_4': 0.1807228922843933, 'redshifts/outlier_fraction_bin_5': 0.09202207624912262, 'redshifts/outlier_fraction_cata': 0.08721192181110382, 'redshifts/outlier_fraction_cata_bin_0': 0.1303556114435196, 'redshifts/outlier_fraction_cata_bin_1': 0.09966358542442322, 'redshifts/outlier_fraction_cata_bin_2': 0.0786290317773819, 'redshifts/outlier_fraction_cata_bin_3': 0.05591168254613876, 'redshifts/outlier_fraction_cata_bin_4': 0.05060240998864174, 'redshifts/outlier_fraction_cata_bin_5': 0.015454089269042015}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▊ | 761/1563 [1:11:31<1:05:34, 4.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48915.])\n", + "total num of pts: tensor([17595., 11908., 4966., 2812., 1662., 9972.])\n", + "{'redshifts/bias_abs': 0.07541840523481369, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004231061786413193, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.726977633457864e-06, 'redshifts/mse': 0.3080165684223175, 'redshifts/mse_bin_0': 0.43525636196136475, 'redshifts/mse_bin_1': 0.36636051535606384, 'redshifts/mse_bin_2': 0.2859373390674591, 'redshifts/mse_bin_3': 0.21099944412708282, 'redshifts/mse_bin_4': 0.20719578862190247, 'redshifts/mse_bin_5': 0.06899696588516235, 'redshifts/nmad': 0.11160921305418015, 'redshifts/nmad_bin_0': 0.21330390870571136, 'redshifts/nmad_bin_1': 0.13452833890914917, 'redshifts/nmad_bin_2': 0.08833692222833633, 'redshifts/nmad_bin_3': 0.0687868595123291, 'redshifts/nmad_bin_4': 0.0620659738779068, 'redshifts/nmad_bin_5': 0.03529242053627968, 'redshifts/outlier_fraction': 0.3245016932487488, 'redshifts/outlier_fraction_bin_0': 0.4887183904647827, 'redshifts/outlier_fraction_bin_1': 0.3555592894554138, 'redshifts/outlier_fraction_bin_2': 0.25835683941841125, 'redshifts/outlier_fraction_bin_3': 0.19203414022922516, 'redshifts/outlier_fraction_bin_4': 0.1805054098367691, 'redshifts/outlier_fraction_bin_5': 0.09195747971534729, 'redshifts/outlier_fraction_cata': 0.08727384358644485, 'redshifts/outlier_fraction_cata_bin_0': 0.13049161434173584, 'redshifts/outlier_fraction_cata_bin_1': 0.09968088567256927, 'redshifts/outlier_fraction_cata_bin_2': 0.07873540371656418, 'redshifts/outlier_fraction_cata_bin_3': 0.0558321475982666, 'redshifts/outlier_fraction_cata_bin_4': 0.05054151639342308, 'redshifts/outlier_fraction_cata_bin_5': 0.015443241223692894}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 762/1563 [1:11:35<1:01:29, 4.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([48961.])\n", + "total num of pts: tensor([17611., 11921., 4970., 2814., 1664., 9981.])\n", + "{'redshifts/bias_abs': 0.07541840523481369, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.00424924585968256, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 1.8636010281625204e-05, 'redshifts/mse': 0.30813178420066833, 'redshifts/mse_bin_0': 0.4354386031627655, 'redshifts/mse_bin_1': 0.36668214201927185, 'redshifts/mse_bin_2': 0.2858901023864746, 'redshifts/mse_bin_3': 0.21087750792503357, 'redshifts/mse_bin_4': 0.20694725215435028, 'redshifts/mse_bin_5': 0.06893965601921082, 'redshifts/nmad': 0.11162488907575607, 'redshifts/nmad_bin_0': 0.21338114142417908, 'redshifts/nmad_bin_1': 0.1346525251865387, 'redshifts/nmad_bin_2': 0.08833692222833633, 'redshifts/nmad_bin_3': 0.068904809653759, 'redshifts/nmad_bin_4': 0.061956778168678284, 'redshifts/nmad_bin_5': 0.035299643874168396, 'redshifts/outlier_fraction': 0.32456445693969727, 'redshifts/outlier_fraction_bin_0': 0.48878541588783264, 'redshifts/outlier_fraction_bin_1': 0.35575875639915466, 'redshifts/outlier_fraction_bin_2': 0.25855129957199097, 'redshifts/outlier_fraction_bin_3': 0.1918976604938507, 'redshifts/outlier_fraction_bin_4': 0.18028846383094788, 'redshifts/outlier_fraction_bin_5': 0.09187456220388412, 'redshifts/outlier_fraction_cata': 0.08729396760463715, 'redshifts/outlier_fraction_cata_bin_0': 0.1304866224527359, 'redshifts/outlier_fraction_cata_bin_1': 0.09982383996248245, 'redshifts/outlier_fraction_cata_bin_2': 0.07867202907800674, 'redshifts/outlier_fraction_cata_bin_3': 0.055792465806007385, 'redshifts/outlier_fraction_cata_bin_4': 0.05048076808452606, 'redshifts/outlier_fraction_cata_bin_5': 0.015429316088557243}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 763/1563 [1:11:39<1:00:10, 4.51s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49023.])\n", + "total num of pts: tensor([17632., 11936., 4978., 2818., 1666., 9993.])\n", + "{'redshifts/bias_abs': 0.0754220113158226, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004231061786413193, 'redshifts/bias_bin_0': 0.0279783234000206, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.554123628011439e-05, 'redshifts/mse': 0.3083016276359558, 'redshifts/mse_bin_0': 0.43571826815605164, 'redshifts/mse_bin_1': 0.36699217557907104, 'redshifts/mse_bin_2': 0.2857409119606018, 'redshifts/mse_bin_3': 0.21128599345684052, 'redshifts/mse_bin_4': 0.20671063661575317, 'redshifts/mse_bin_5': 0.06891638785600662, 'redshifts/nmad': 0.11162582784891129, 'redshifts/nmad_bin_0': 0.21349063515663147, 'redshifts/nmad_bin_1': 0.1346525251865387, 'redshifts/nmad_bin_2': 0.08830411732196808, 'redshifts/nmad_bin_3': 0.06903338432312012, 'redshifts/nmad_bin_4': 0.062000349164009094, 'redshifts/nmad_bin_5': 0.0352657251060009, 'redshifts/outlier_fraction': 0.3246639370918274, 'redshifts/outlier_fraction_bin_0': 0.48899728059768677, 'redshifts/outlier_fraction_bin_1': 0.3558143377304077, 'redshifts/outlier_fraction_bin_2': 0.2583366930484772, 'redshifts/outlier_fraction_bin_3': 0.19233499467372894, 'redshifts/outlier_fraction_bin_4': 0.18007202446460724, 'redshifts/outlier_fraction_bin_5': 0.09196437150239944, 'redshifts/outlier_fraction_cata': 0.08734675496816635, 'redshifts/outlier_fraction_cata_bin_0': 0.13050135970115662, 'redshifts/outlier_fraction_cata_bin_1': 0.09994973242282867, 'redshifts/outlier_fraction_cata_bin_2': 0.0787464827299118, 'redshifts/outlier_fraction_cata_bin_3': 0.05606813356280327, 'redshifts/outlier_fraction_cata_bin_4': 0.05042016878724098, 'redshifts/outlier_fraction_cata_bin_5': 0.015410787425935268}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 764/1563 [1:11:44<1:02:26, 4.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49081.])\n", + "total num of pts: tensor([17661., 11945., 4982., 2821., 1667., 10005.])\n", + "{'redshifts/bias_abs': 0.07544633746147156, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04636476933956146, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004231893457472324, 'redshifts/bias_bin_0': 0.027985187247395515, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.308393269777298, 'redshifts/mse_bin_0': 0.4357774555683136, 'redshifts/mse_bin_1': 0.36699986457824707, 'redshifts/mse_bin_2': 0.2855287790298462, 'redshifts/mse_bin_3': 0.21144819259643555, 'redshifts/mse_bin_4': 0.20660831034183502, 'redshifts/mse_bin_5': 0.06924253702163696, 'redshifts/nmad': 0.11165929585695267, 'redshifts/nmad_bin_0': 0.21337412297725677, 'redshifts/nmad_bin_1': 0.13466128706932068, 'redshifts/nmad_bin_2': 0.08830411732196808, 'redshifts/nmad_bin_3': 0.06911309063434601, 'redshifts/nmad_bin_4': 0.06212959066033363, 'redshifts/nmad_bin_5': 0.03526252508163452, 'redshifts/outlier_fraction': 0.32470813393592834, 'redshifts/outlier_fraction_bin_0': 0.4889304041862488, 'redshifts/outlier_fraction_bin_1': 0.35588112473487854, 'redshifts/outlier_fraction_bin_2': 0.25832998752593994, 'redshifts/outlier_fraction_bin_3': 0.19283941388130188, 'redshifts/outlier_fraction_bin_4': 0.17996400594711304, 'redshifts/outlier_fraction_bin_5': 0.09195402264595032, 'redshifts/outlier_fraction_cata': 0.0873657837510109, 'redshifts/outlier_fraction_cata_bin_0': 0.13051356375217438, 'redshifts/outlier_fraction_cata_bin_1': 0.0999581441283226, 'redshifts/outlier_fraction_cata_bin_2': 0.07868325710296631, 'redshifts/outlier_fraction_cata_bin_3': 0.05600850656628609, 'redshifts/outlier_fraction_cata_bin_4': 0.05038992315530777, 'redshifts/outlier_fraction_cata_bin_5': 0.015492253936827183}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 765/1563 [1:11:49<1:02:00, 4.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49153.])\n", + "total num of pts: tensor([17691., 11961., 4990., 2822., 1669., 10020.])\n", + "{'redshifts/bias_abs': 0.07543665170669556, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04636476933956146, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.00424843467772007, 'redshifts/bias_bin_0': 0.0279783234000206, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.8636010281625204e-05, 'redshifts/mse': 0.3082703649997711, 'redshifts/mse_bin_0': 0.4356033205986023, 'redshifts/mse_bin_1': 0.3667010962963104, 'redshifts/mse_bin_2': 0.28561192750930786, 'redshifts/mse_bin_3': 0.21166859567165375, 'redshifts/mse_bin_4': 0.20643101632595062, 'redshifts/mse_bin_5': 0.06916111707687378, 'redshifts/nmad': 0.11164949089288712, 'redshifts/nmad_bin_0': 0.21332770586013794, 'redshifts/nmad_bin_1': 0.13465005159378052, 'redshifts/nmad_bin_2': 0.08833544701337814, 'redshifts/nmad_bin_3': 0.06929811090230942, 'redshifts/nmad_bin_4': 0.06212959066033363, 'redshifts/nmad_bin_5': 0.03527328372001648, 'redshifts/outlier_fraction': 0.3246800899505615, 'redshifts/outlier_fraction_bin_0': 0.4888361394405365, 'redshifts/outlier_fraction_bin_1': 0.3557394742965698, 'redshifts/outlier_fraction_bin_2': 0.2581162452697754, 'redshifts/outlier_fraction_bin_3': 0.19312544167041779, 'redshifts/outlier_fraction_bin_4': 0.1803475171327591, 'redshifts/outlier_fraction_bin_5': 0.09201596677303314, 'redshifts/outlier_fraction_cata': 0.08731918781995773, 'redshifts/outlier_fraction_cata_bin_0': 0.13046181201934814, 'redshifts/outlier_fraction_cata_bin_1': 0.09982442855834961, 'redshifts/outlier_fraction_cata_bin_2': 0.07875751703977585, 'redshifts/outlier_fraction_cata_bin_3': 0.05598866194486618, 'redshifts/outlier_fraction_cata_bin_4': 0.05032953992486, 'redshifts/outlier_fraction_cata_bin_5': 0.015469062142074108}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 766/1563 [1:11:55<1:07:27, 5.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49211.])\n", + "total num of pts: tensor([17702., 11978., 4997., 2829., 1670., 10035.])\n", + "{'redshifts/bias_abs': 0.07542740553617477, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04636476933956146, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.004245568998157978, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.8636010281625204e-05, 'redshifts/mse': 0.30819496512413025, 'redshifts/mse_bin_0': 0.4357960522174835, 'redshifts/mse_bin_1': 0.3666003942489624, 'redshifts/mse_bin_2': 0.2852790057659149, 'redshifts/mse_bin_3': 0.21134397387504578, 'redshifts/mse_bin_4': 0.20630741119384766, 'redshifts/mse_bin_5': 0.06906168162822723, 'redshifts/nmad': 0.11164180189371109, 'redshifts/nmad_bin_0': 0.2132963091135025, 'redshifts/nmad_bin_1': 0.13474492728710175, 'redshifts/nmad_bin_2': 0.08834022283554077, 'redshifts/nmad_bin_3': 0.06929811090230942, 'redshifts/nmad_bin_4': 0.062000349164009094, 'redshifts/nmad_bin_5': 0.035251230001449585, 'redshifts/outlier_fraction': 0.3246631920337677, 'redshifts/outlier_fraction_bin_0': 0.488871306180954, 'redshifts/outlier_fraction_bin_1': 0.3560694754123688, 'redshifts/outlier_fraction_bin_2': 0.25795477628707886, 'redshifts/outlier_fraction_bin_3': 0.19300106167793274, 'redshifts/outlier_fraction_bin_4': 0.1802395135164261, 'redshifts/outlier_fraction_bin_5': 0.09187842905521393, 'redshifts/outlier_fraction_cata': 0.08727723360061646, 'redshifts/outlier_fraction_cata_bin_0': 0.13049373030662537, 'redshifts/outlier_fraction_cata_bin_1': 0.09976623952388763, 'redshifts/outlier_fraction_cata_bin_2': 0.0786471888422966, 'redshifts/outlier_fraction_cata_bin_3': 0.05585012212395668, 'redshifts/outlier_fraction_cata_bin_4': 0.050299402326345444, 'redshifts/outlier_fraction_cata_bin_5': 0.015445939265191555}\n", + "total num of pts: tensor([49270.])\n", + "total num of pts: tensor([17723., 11993., 5007., 2832., 1671., 10044.])\n", + "{'redshifts/bias_abs': 0.0754600316286087, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004245568998157978, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 1.5026287655928172e-05, 'redshifts/mse': 0.3080933690071106, 'redshifts/mse_bin_0': 0.4356178939342499, 'redshifts/mse_bin_1': 0.3662674129009247, 'redshifts/mse_bin_2': 0.28538578748703003, 'redshifts/mse_bin_3': 0.21114228665828705, 'redshifts/mse_bin_4': 0.20618396997451782, 'redshifts/mse_bin_5': 0.06922116875648499, 'redshifts/nmad': 0.1116795763373375, 'redshifts/nmad_bin_0': 0.2132221907377243, 'redshifts/nmad_bin_1': 0.13492268323898315, 'redshifts/nmad_bin_2': 0.0884770005941391, 'redshifts/nmad_bin_3': 0.0691893920302391, 'redshifts/nmad_bin_4': 0.0620485283434391, 'redshifts/nmad_bin_5': 0.035250790417194366, 'redshifts/outlier_fraction': 0.3246397376060486, 'redshifts/outlier_fraction_bin_0': 0.48874345421791077, 'redshifts/outlier_fraction_bin_1': 0.3561244010925293, 'redshifts/outlier_fraction_bin_2': 0.25783902406692505, 'redshifts/outlier_fraction_bin_3': 0.19314971566200256, 'redshifts/outlier_fraction_bin_4': 0.18013165891170502, 'redshifts/outlier_fraction_bin_5': 0.09189566224813461, 'redshifts/outlier_fraction_cata': 0.08723361045122147, 'redshifts/outlier_fraction_cata_bin_0': 0.1303955316543579, 'redshifts/outlier_fraction_cata_bin_1': 0.09964145720005035, 'redshifts/outlier_fraction_cata_bin_2': 0.07868983596563339, 'redshifts/outlier_fraction_cata_bin_3': 0.05579096078872681, 'redshifts/outlier_fraction_cata_bin_4': 0.05026929825544357, 'redshifts/outlier_fraction_cata_bin_5': 0.015531660988926888}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 768/1563 [1:12:10<1:20:21, 6.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49347.])\n", + "total num of pts: tensor([17757., 12004., 5018., 2838., 1673., 10057.])\n", + "{'redshifts/bias_abs': 0.07544633746147156, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004231893457472324, 'redshifts/bias_bin_0': 0.02796565741300583, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.5026287655928172e-05, 'redshifts/mse': 0.307982474565506, 'redshifts/mse_bin_0': 0.43558189272880554, 'redshifts/mse_bin_1': 0.366199791431427, 'redshifts/mse_bin_2': 0.2849029004573822, 'redshifts/mse_bin_3': 0.21070776879787445, 'redshifts/mse_bin_4': 0.20594432950019836, 'redshifts/mse_bin_5': 0.06914139539003372, 'redshifts/nmad': 0.1116495132446289, 'redshifts/nmad_bin_0': 0.2132745236158371, 'redshifts/nmad_bin_1': 0.13470548391342163, 'redshifts/nmad_bin_2': 0.088467538356781, 'redshifts/nmad_bin_3': 0.06895016133785248, 'redshifts/nmad_bin_4': 0.062000349164009094, 'redshifts/nmad_bin_5': 0.035266488790512085, 'redshifts/outlier_fraction': 0.32463979721069336, 'redshifts/outlier_fraction_bin_0': 0.48887762427330017, 'redshifts/outlier_fraction_bin_1': 0.35613128542900085, 'redshifts/outlier_fraction_bin_2': 0.25767236948013306, 'redshifts/outlier_fraction_bin_3': 0.19274136424064636, 'redshifts/outlier_fraction_bin_4': 0.17991632223129272, 'redshifts/outlier_fraction_bin_5': 0.09177687019109726, 'redshifts/outlier_fraction_cata': 0.08719881623983383, 'redshifts/outlier_fraction_cata_bin_0': 0.1303711235523224, 'redshifts/outlier_fraction_cata_bin_1': 0.09963345527648926, 'redshifts/outlier_fraction_cata_bin_2': 0.07851734012365341, 'redshifts/outlier_fraction_cata_bin_3': 0.055673010647296906, 'redshifts/outlier_fraction_cata_bin_4': 0.050209205597639084, 'redshifts/outlier_fraction_cata_bin_5': 0.015511583536863327}\n", + "total num of pts: tensor([49408.])\n", + "total num of pts: tensor([17774., 12018., 5024., 2843., 1676., 10073.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 769/1563 [1:12:16<1:20:51, 6.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0754600316286087, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004231893457472324, 'redshifts/bias_bin_0': 0.02796565741300583, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.4086805094848387e-05, 'redshifts/mse': 0.3079821467399597, 'redshifts/mse_bin_0': 0.43552687764167786, 'redshifts/mse_bin_1': 0.36615076661109924, 'redshifts/mse_bin_2': 0.28467172384262085, 'redshifts/mse_bin_3': 0.2106235921382904, 'redshifts/mse_bin_4': 0.20558412373065948, 'redshifts/mse_bin_5': 0.0696699470281601, 'redshifts/nmad': 0.1116652637720108, 'redshifts/nmad_bin_0': 0.21323351562023163, 'redshifts/nmad_bin_1': 0.13480287790298462, 'redshifts/nmad_bin_2': 0.08859888464212418, 'redshifts/nmad_bin_3': 0.0691893920302391, 'redshifts/nmad_bin_4': 0.061675943434238434, 'redshifts/nmad_bin_5': 0.03534506633877754, 'redshifts/outlier_fraction': 0.32466402649879456, 'redshifts/outlier_fraction_bin_0': 0.4888038635253906, 'redshifts/outlier_fraction_bin_1': 0.3562156856060028, 'redshifts/outlier_fraction_bin_2': 0.25776273012161255, 'redshifts/outlier_fraction_bin_3': 0.19310587644577026, 'redshifts/outlier_fraction_bin_4': 0.1795942783355713, 'redshifts/outlier_fraction_bin_5': 0.0920281931757927, 'redshifts/outlier_fraction_cata': 0.08717212080955505, 'redshifts/outlier_fraction_cata_bin_0': 0.13030268251895905, 'redshifts/outlier_fraction_cata_bin_1': 0.09960059821605682, 'redshifts/outlier_fraction_cata_bin_2': 0.07842356711626053, 'redshifts/outlier_fraction_cata_bin_3': 0.05557509511709213, 'redshifts/outlier_fraction_cata_bin_4': 0.05011933296918869, 'redshifts/outlier_fraction_cata_bin_5': 0.015685494989156723}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 770/1563 [1:12:21<1:15:12, 5.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49464.])\n", + "total num of pts: tensor([17792., 12033., 5028., 2848., 1677., 10086.])\n", + "{'redshifts/bias_abs': 0.07544726133346558, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004231893457472324, 'redshifts/bias_bin_0': 0.02785765565931797, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 1.8636010281625204e-05, 'redshifts/mse': 0.30790287256240845, 'redshifts/mse_bin_0': 0.4352811276912689, 'redshifts/mse_bin_1': 0.3664552867412567, 'redshifts/mse_bin_2': 0.28446388244628906, 'redshifts/mse_bin_3': 0.21028906106948853, 'redshifts/mse_bin_4': 0.20546574890613556, 'redshifts/mse_bin_5': 0.06962965428829193, 'redshifts/nmad': 0.1116495132446289, 'redshifts/nmad_bin_0': 0.2131487876176834, 'redshifts/nmad_bin_1': 0.1348433643579483, 'redshifts/nmad_bin_2': 0.08859888464212418, 'redshifts/nmad_bin_3': 0.06907601654529572, 'redshifts/nmad_bin_4': 0.0620485283434391, 'redshifts/nmad_bin_5': 0.03535180911421776, 'redshifts/outlier_fraction': 0.32461991906166077, 'redshifts/outlier_fraction_bin_0': 0.48859038949012756, 'redshifts/outlier_fraction_bin_1': 0.35643646121025085, 'redshifts/outlier_fraction_bin_2': 0.2575576901435852, 'redshifts/outlier_fraction_bin_3': 0.19311797618865967, 'redshifts/outlier_fraction_bin_4': 0.1794871836900711, 'redshifts/outlier_fraction_bin_5': 0.0921078696846962, 'redshifts/outlier_fraction_cata': 0.08717451244592667, 'redshifts/outlier_fraction_cata_bin_0': 0.13022707402706146, 'redshifts/outlier_fraction_cata_bin_1': 0.09980885684490204, 'redshifts/outlier_fraction_cata_bin_2': 0.07836117595434189, 'redshifts/outlier_fraction_cata_bin_3': 0.055477529764175415, 'redshifts/outlier_fraction_cata_bin_4': 0.05008944496512413, 'redshifts/outlier_fraction_cata_bin_5': 0.01566527783870697}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 771/1563 [1:12:25<1:10:37, 5.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49528.])\n", + "total num of pts: tensor([17819., 12043., 5031., 2853., 1683., 10099.])\n", + "{'redshifts/bias_abs': 0.0754600316286087, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004230919759720564, 'redshifts/bias_bin_0': 0.02785627730190754, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.9114862880087458e-05, 'redshifts/mse': 0.30807235836982727, 'redshifts/mse_bin_0': 0.435352087020874, 'redshifts/mse_bin_1': 0.3668048679828644, 'redshifts/mse_bin_2': 0.28433629870414734, 'redshifts/mse_bin_3': 0.20993582904338837, 'redshifts/mse_bin_4': 0.20881952345371246, 'redshifts/mse_bin_5': 0.06954783946275711, 'redshifts/nmad': 0.11166352778673172, 'redshifts/nmad_bin_0': 0.21318300068378448, 'redshifts/nmad_bin_1': 0.1348787546157837, 'redshifts/nmad_bin_2': 0.08862479031085968, 'redshifts/nmad_bin_3': 0.06905242055654526, 'redshifts/nmad_bin_4': 0.062000349164009094, 'redshifts/nmad_bin_5': 0.03534489870071411, 'redshifts/outlier_fraction': 0.32464465498924255, 'redshifts/outlier_fraction_bin_0': 0.48863571882247925, 'redshifts/outlier_fraction_bin_1': 0.3564726412296295, 'redshifts/outlier_fraction_bin_2': 0.25760287046432495, 'redshifts/outlier_fraction_bin_3': 0.1927795261144638, 'redshifts/outlier_fraction_bin_4': 0.18062983453273773, 'redshifts/outlier_fraction_bin_5': 0.09198930859565735, 'redshifts/outlier_fraction_cata': 0.08722338825464249, 'redshifts/outlier_fraction_cata_bin_0': 0.13031034171581268, 'redshifts/outlier_fraction_cata_bin_1': 0.09980902075767517, 'redshifts/outlier_fraction_cata_bin_2': 0.07831445336341858, 'redshifts/outlier_fraction_cata_bin_3': 0.05538029968738556, 'redshifts/outlier_fraction_cata_bin_4': 0.051099225878715515, 'redshifts/outlier_fraction_cata_bin_5': 0.015645112842321396}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 772/1563 [1:12:29<1:04:40, 4.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49597.])\n", + "total num of pts: tensor([17848., 12055., 5035., 2858., 1687., 10114.])\n", + "{'redshifts/bias_abs': 0.0755055770277977, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004231893457472324, 'redshifts/bias_bin_0': 0.027960099279880524, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.4086805094848387e-05, 'redshifts/mse': 0.30814865231513977, 'redshifts/mse_bin_0': 0.43541496992111206, 'redshifts/mse_bin_1': 0.36674413084983826, 'redshifts/mse_bin_2': 0.2848535478115082, 'redshifts/mse_bin_3': 0.2096235603094101, 'redshifts/mse_bin_4': 0.21035581827163696, 'redshifts/mse_bin_5': 0.06947445869445801, 'redshifts/nmad': 0.11177176237106323, 'redshifts/nmad_bin_0': 0.21322040259838104, 'redshifts/nmad_bin_1': 0.13494104146957397, 'redshifts/nmad_bin_2': 0.08864729851484299, 'redshifts/nmad_bin_3': 0.06907601654529572, 'redshifts/nmad_bin_4': 0.062000349164009094, 'redshifts/nmad_bin_5': 0.03536595031619072, 'redshifts/outlier_fraction': 0.3247777223587036, 'redshifts/outlier_fraction_bin_0': 0.48885029554367065, 'redshifts/outlier_fraction_bin_1': 0.35661551356315613, 'redshifts/outlier_fraction_bin_2': 0.25759682059288025, 'redshifts/outlier_fraction_bin_3': 0.1927921622991562, 'redshifts/outlier_fraction_bin_4': 0.18079431354999542, 'redshifts/outlier_fraction_bin_5': 0.09205061942338943, 'redshifts/outlier_fraction_cata': 0.08724317699670792, 'redshifts/outlier_fraction_cata_bin_0': 0.13032272458076477, 'redshifts/outlier_fraction_cata_bin_1': 0.09979261457920074, 'redshifts/outlier_fraction_cata_bin_2': 0.07845084369182587, 'redshifts/outlier_fraction_cata_bin_3': 0.05528341606259346, 'redshifts/outlier_fraction_cata_bin_4': 0.0515708364546299, 'redshifts/outlier_fraction_cata_bin_5': 0.015621909871697426}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 49%|████▉ | 773/1563 [1:12:33<1:01:37, 4.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49651.])\n", + "total num of pts: tensor([17868., 12070., 5037., 2863., 1690., 10123.])\n", + "{'redshifts/bias_abs': 0.07551401108503342, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.00424924585968256, 'redshifts/bias_bin_0': 0.0279783234000206, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 1.554123628011439e-05, 'redshifts/mse': 0.30812764167785645, 'redshifts/mse_bin_0': 0.43542706966400146, 'redshifts/mse_bin_1': 0.3666439950466156, 'redshifts/mse_bin_2': 0.2847578227519989, 'redshifts/mse_bin_3': 0.20929445326328278, 'redshifts/mse_bin_4': 0.21125203371047974, 'redshifts/mse_bin_5': 0.06941677629947662, 'redshifts/nmad': 0.11178237199783325, 'redshifts/nmad_bin_0': 0.21321474015712738, 'redshifts/nmad_bin_1': 0.134883314371109, 'redshifts/nmad_bin_2': 0.08862148970365524, 'redshifts/nmad_bin_3': 0.06906364858150482, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.03535856306552887, 'redshifts/outlier_fraction': 0.32470646500587463, 'redshifts/outlier_fraction_bin_0': 0.4888627827167511, 'redshifts/outlier_fraction_bin_1': 0.3564208745956421, 'redshifts/outlier_fraction_bin_2': 0.2574945390224457, 'redshifts/outlier_fraction_bin_3': 0.1924554705619812, 'redshifts/outlier_fraction_bin_4': 0.18106508255004883, 'redshifts/outlier_fraction_bin_5': 0.09196878224611282, 'redshifts/outlier_fraction_cata': 0.08724899590015411, 'redshifts/outlier_fraction_cata_bin_0': 0.13034474849700928, 'redshifts/outlier_fraction_cata_bin_1': 0.09975145012140274, 'redshifts/outlier_fraction_cata_bin_2': 0.07841969281435013, 'redshifts/outlier_fraction_cata_bin_3': 0.05518686771392822, 'redshifts/outlier_fraction_cata_bin_4': 0.05207100510597229, 'redshifts/outlier_fraction_cata_bin_5': 0.015608021058142185}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|████▉ | 774/1563 [1:12:38<1:01:34, 4.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49723.])\n", + "total num of pts: tensor([17896., 12086., 5046., 2865., 1692., 10138.])\n", + "{'redshifts/bias_abs': 0.07550743222236633, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09151016175746918, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004232398699969053, 'redshifts/bias_bin_0': 0.02790851891040802, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 1.4086805094848387e-05, 'redshifts/mse': 0.30819272994995117, 'redshifts/mse_bin_0': 0.4353499412536621, 'redshifts/mse_bin_1': 0.3663557469844818, 'redshifts/mse_bin_2': 0.2858981490135193, 'redshifts/mse_bin_3': 0.20915359258651733, 'redshifts/mse_bin_4': 0.2110062688589096, 'redshifts/mse_bin_5': 0.06969774514436722, 'redshifts/nmad': 0.11177100986242294, 'redshifts/nmad_bin_0': 0.21322420239448547, 'redshifts/nmad_bin_1': 0.134883314371109, 'redshifts/nmad_bin_2': 0.08860219269990921, 'redshifts/nmad_bin_3': 0.06905242055654526, 'redshifts/nmad_bin_4': 0.0620485283434391, 'redshifts/nmad_bin_5': 0.03529290109872818, 'redshifts/outlier_fraction': 0.3246988356113434, 'redshifts/outlier_fraction_bin_0': 0.48876842856407166, 'redshifts/outlier_fraction_bin_1': 0.3563627302646637, 'redshifts/outlier_fraction_bin_2': 0.2578279972076416, 'redshifts/outlier_fraction_bin_3': 0.19232112169265747, 'redshifts/outlier_fraction_bin_4': 0.1808510571718216, 'redshifts/outlier_fraction_bin_5': 0.09202998876571655, 'redshifts/outlier_fraction_cata': 0.08728355169296265, 'redshifts/outlier_fraction_cata_bin_0': 0.130364328622818, 'redshifts/outlier_fraction_cata_bin_1': 0.0997021347284317, 'redshifts/outlier_fraction_cata_bin_2': 0.07867617905139923, 'redshifts/outlier_fraction_cata_bin_3': 0.05514834076166153, 'redshifts/outlier_fraction_cata_bin_4': 0.0520094558596611, 'redshifts/outlier_fraction_cata_bin_5': 0.01568356715142727}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|████▉ | 775/1563 [1:12:42<58:16, 4.44s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49786.])\n", + "total num of pts: tensor([17920., 12107., 5053., 2869., 1692., 10145.])\n", + "{'redshifts/bias_abs': 0.07551465928554535, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004230919759720564, 'redshifts/bias_bin_0': 0.02785765565931797, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 5.726977633457864e-06, 'redshifts/mse': 0.3085417151451111, 'redshifts/mse_bin_0': 0.4353487491607666, 'redshifts/mse_bin_1': 0.36654478311538696, 'redshifts/mse_bin_2': 0.2877635657787323, 'redshifts/mse_bin_3': 0.21055202186107635, 'redshifts/mse_bin_4': 0.2110062688589096, 'redshifts/mse_bin_5': 0.06966008245944977, 'redshifts/nmad': 0.11178438365459442, 'redshifts/nmad_bin_0': 0.213289275765419, 'redshifts/nmad_bin_1': 0.134883314371109, 'redshifts/nmad_bin_2': 0.08860219269990921, 'redshifts/nmad_bin_3': 0.06907601654529572, 'redshifts/nmad_bin_4': 0.0620485283434391, 'redshifts/nmad_bin_5': 0.03529242053627968, 'redshifts/outlier_fraction': 0.3247700035572052, 'redshifts/outlier_fraction_bin_0': 0.4888392984867096, 'redshifts/outlier_fraction_bin_1': 0.3562401831150055, 'redshifts/outlier_fraction_bin_2': 0.25786662101745605, 'redshifts/outlier_fraction_bin_3': 0.19275008141994476, 'redshifts/outlier_fraction_bin_4': 0.1808510571718216, 'redshifts/outlier_fraction_bin_5': 0.09206505864858627, 'redshifts/outlier_fraction_cata': 0.08739404380321503, 'redshifts/outlier_fraction_cata_bin_0': 0.13046875596046448, 'redshifts/outlier_fraction_cata_bin_1': 0.099776990711689, 'redshifts/outlier_fraction_cata_bin_2': 0.07896298915147781, 'redshifts/outlier_fraction_cata_bin_3': 0.055420007556676865, 'redshifts/outlier_fraction_cata_bin_4': 0.0520094558596611, 'redshifts/outlier_fraction_cata_bin_5': 0.015672745183110237}\n", + "total num of pts: tensor([49849.])\n", + "total num of pts: tensor([17943., 12125., 5059., 2870., 1694., 10158.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|████▉ | 776/1563 [1:12:48<1:06:02, 5.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0754941776394844, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004230919759720564, 'redshifts/bias_bin_0': 0.02790851891040802, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 2.473592758178711e-06, 'redshifts/mse': 0.3085399866104126, 'redshifts/mse_bin_0': 0.4352836310863495, 'redshifts/mse_bin_1': 0.36649203300476074, 'redshifts/mse_bin_2': 0.28830987215042114, 'redshifts/mse_bin_3': 0.21048960089683533, 'redshifts/mse_bin_4': 0.21075759828090668, 'redshifts/mse_bin_5': 0.06957359611988068, 'redshifts/nmad': 0.11173994839191437, 'redshifts/nmad_bin_0': 0.2132604569196701, 'redshifts/nmad_bin_1': 0.13488757610321045, 'redshifts/nmad_bin_2': 0.08849959820508957, 'redshifts/nmad_bin_3': 0.06904718279838562, 'redshifts/nmad_bin_4': 0.06172412261366844, 'redshifts/nmad_bin_5': 0.03523298725485802, 'redshifts/outlier_fraction': 0.32468053698539734, 'redshifts/outlier_fraction_bin_0': 0.4888257384300232, 'redshifts/outlier_fraction_bin_1': 0.35604122281074524, 'redshifts/outlier_fraction_bin_2': 0.2577584385871887, 'redshifts/outlier_fraction_bin_3': 0.1926829218864441, 'redshifts/outlier_fraction_bin_4': 0.18063753843307495, 'redshifts/outlier_fraction_bin_5': 0.09194723516702652, 'redshifts/outlier_fraction_cata': 0.08738389611244202, 'redshifts/outlier_fraction_cata_bin_0': 0.1304687112569809, 'redshifts/outlier_fraction_cata_bin_1': 0.0997113436460495, 'redshifts/outlier_fraction_cata_bin_2': 0.07906700670719147, 'redshifts/outlier_fraction_cata_bin_3': 0.05540069565176964, 'redshifts/outlier_fraction_cata_bin_4': 0.051948051899671555, 'redshifts/outlier_fraction_cata_bin_5': 0.015652688220143318}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|████▉ | 777/1563 [1:12:53<1:06:05, 5.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49897.])\n", + "total num of pts: tensor([17963., 12130., 5070., 2871., 1695., 10168.])\n", + "{'redshifts/bias_abs': 0.07549702376127243, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.04156690090894699, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.00424924585968256, 'redshifts/bias_bin_0': 0.02796565741300583, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 2.473592758178711e-06, 'redshifts/mse': 0.30865490436553955, 'redshifts/mse_bin_0': 0.4352550506591797, 'redshifts/mse_bin_1': 0.36636224389076233, 'redshifts/mse_bin_2': 0.2892533540725708, 'redshifts/mse_bin_3': 0.21178168058395386, 'redshifts/mse_bin_4': 0.21063362061977386, 'redshifts/mse_bin_5': 0.0695265680551529, 'redshifts/nmad': 0.11172617971897125, 'redshifts/nmad_bin_0': 0.2131977677345276, 'redshifts/nmad_bin_1': 0.13486690819263458, 'redshifts/nmad_bin_2': 0.08843711763620377, 'redshifts/nmad_bin_3': 0.06919462978839874, 'redshifts/nmad_bin_4': 0.06172412261366844, 'redshifts/nmad_bin_5': 0.03527568280696869, 'redshifts/outlier_fraction': 0.32464876770973206, 'redshifts/outlier_fraction_bin_0': 0.48872682452201843, 'redshifts/outlier_fraction_bin_1': 0.3559769093990326, 'redshifts/outlier_fraction_bin_2': 0.2577909231185913, 'redshifts/outlier_fraction_bin_3': 0.1929641216993332, 'redshifts/outlier_fraction_bin_4': 0.18053098022937775, 'redshifts/outlier_fraction_bin_5': 0.09195515513420105, 'redshifts/outlier_fraction_cata': 0.08742008358240128, 'redshifts/outlier_fraction_cata_bin_0': 0.13049045205116272, 'redshifts/outlier_fraction_cata_bin_1': 0.09967023879289627, 'redshifts/outlier_fraction_cata_bin_2': 0.07928994297981262, 'redshifts/outlier_fraction_cata_bin_3': 0.055729709565639496, 'redshifts/outlier_fraction_cata_bin_4': 0.05191740393638611, 'redshifts/outlier_fraction_cata_bin_5': 0.015637293457984924}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|████▉ | 778/1563 [1:12:58<1:04:34, 4.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([49954.])\n", + "total num of pts: tensor([17987., 12147., 5071., 2874., 1697., 10178.])\n", + "{'redshifts/bias_abs': 0.07551465928554535, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.04166170954704285, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004252952057868242, 'redshifts/bias_bin_0': 0.027985187247395515, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -2.405151235507219e-06, 'redshifts/mse': 0.3084855377674103, 'redshifts/mse_bin_0': 0.43504759669303894, 'redshifts/mse_bin_1': 0.36601996421813965, 'redshifts/mse_bin_2': 0.28919729590415955, 'redshifts/mse_bin_3': 0.21159930527210236, 'redshifts/mse_bin_4': 0.21043367683887482, 'redshifts/mse_bin_5': 0.06947315484285355, 'redshifts/nmad': 0.11176230013370514, 'redshifts/nmad_bin_0': 0.21316882967948914, 'redshifts/nmad_bin_1': 0.13493023812770844, 'redshifts/nmad_bin_2': 0.08843711763620377, 'redshifts/nmad_bin_3': 0.06919462978839874, 'redshifts/nmad_bin_4': 0.0620485283434391, 'redshifts/nmad_bin_5': 0.03524022176861763, 'redshifts/outlier_fraction': 0.32465869188308716, 'redshifts/outlier_fraction_bin_0': 0.4886862635612488, 'redshifts/outlier_fraction_bin_1': 0.35589033365249634, 'redshifts/outlier_fraction_bin_2': 0.2577400803565979, 'redshifts/outlier_fraction_bin_3': 0.1931106448173523, 'redshifts/outlier_fraction_bin_4': 0.1809074878692627, 'redshifts/outlier_fraction_bin_5': 0.09196306020021439, 'redshifts/outlier_fraction_cata': 0.0873403549194336, 'redshifts/outlier_fraction_cata_bin_0': 0.13037192821502686, 'redshifts/outlier_fraction_cata_bin_1': 0.09953074902296066, 'redshifts/outlier_fraction_cata_bin_2': 0.07927430421113968, 'redshifts/outlier_fraction_cata_bin_3': 0.05567153915762901, 'redshifts/outlier_fraction_cata_bin_4': 0.05185621604323387, 'redshifts/outlier_fraction_cata_bin_5': 0.015621929429471493}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|████▉ | 779/1563 [1:13:02<1:01:08, 4.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50013.])\n", + "total num of pts: tensor([18010., 12161., 5076., 2875., 1701., 10190.])\n", + "{'redshifts/bias_abs': 0.07553264498710632, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004270642064511776, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 2.473592758178711e-06, 'redshifts/mse': 0.3084542453289032, 'redshifts/mse_bin_0': 0.434879332780838, 'redshifts/mse_bin_1': 0.3660285174846649, 'redshifts/mse_bin_2': 0.2896118462085724, 'redshifts/mse_bin_3': 0.21152617037296295, 'redshifts/mse_bin_4': 0.21039468050003052, 'redshifts/mse_bin_5': 0.06940164417028427, 'redshifts/nmad': 0.11175790429115295, 'redshifts/nmad_bin_0': 0.21310725808143616, 'redshifts/nmad_bin_1': 0.13492204248905182, 'redshifts/nmad_bin_2': 0.08848594129085541, 'redshifts/nmad_bin_3': 0.06917702406644821, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.0352851003408432, 'redshifts/outlier_fraction': 0.32475554943084717, 'redshifts/outlier_fraction_bin_0': 0.48872849345207214, 'redshifts/outlier_fraction_bin_1': 0.355974018573761, 'redshifts/outlier_fraction_bin_2': 0.25827422738075256, 'redshifts/outlier_fraction_bin_3': 0.19304348528385162, 'redshifts/outlier_fraction_bin_4': 0.18106995522975922, 'redshifts/outlier_fraction_bin_5': 0.09195289760828018, 'redshifts/outlier_fraction_cata': 0.08733729273080826, 'redshifts/outlier_fraction_cata_bin_0': 0.13037201762199402, 'redshifts/outlier_fraction_cata_bin_1': 0.09949839860200882, 'redshifts/outlier_fraction_cata_bin_2': 0.07939322292804718, 'redshifts/outlier_fraction_cata_bin_3': 0.05565217509865761, 'redshifts/outlier_fraction_cata_bin_4': 0.05173427239060402, 'redshifts/outlier_fraction_cata_bin_5': 0.015603533014655113}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|████▉ | 780/1563 [1:13:07<1:03:07, 4.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50078.])\n", + "total num of pts: tensor([18038., 12176., 5081., 2877., 1705., 10201.])\n", + "{'redshifts/bias_abs': 0.0755268931388855, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004277696833014488, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 2.473592758178711e-06, 'redshifts/mse': 0.30854570865631104, 'redshifts/mse_bin_0': 0.43478986620903015, 'redshifts/mse_bin_1': 0.36576080322265625, 'redshifts/mse_bin_2': 0.2897728681564331, 'redshifts/mse_bin_3': 0.21137961745262146, 'redshifts/mse_bin_4': 0.21067143976688385, 'redshifts/mse_bin_5': 0.0701359435915947, 'redshifts/nmad': 0.11175069212913513, 'redshifts/nmad_bin_0': 0.21313723921775818, 'redshifts/nmad_bin_1': 0.13480062782764435, 'redshifts/nmad_bin_2': 0.08842554688453674, 'redshifts/nmad_bin_3': 0.06906364858150482, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.0352851003408432, 'redshifts/outlier_fraction': 0.3247733414173126, 'redshifts/outlier_fraction_bin_0': 0.4887459874153137, 'redshifts/outlier_fraction_bin_1': 0.3557818531990051, 'redshifts/outlier_fraction_bin_2': 0.258413702249527, 'redshifts/outlier_fraction_bin_3': 0.19290928542613983, 'redshifts/outlier_fraction_bin_4': 0.18123167753219604, 'redshifts/outlier_fraction_bin_5': 0.09204979985952377, 'redshifts/outlier_fraction_cata': 0.08740364760160446, 'redshifts/outlier_fraction_cata_bin_0': 0.13044683635234833, 'redshifts/outlier_fraction_cata_bin_1': 0.09945794939994812, 'redshifts/outlier_fraction_cata_bin_2': 0.07951191067695618, 'redshifts/outlier_fraction_cata_bin_3': 0.05561348795890808, 'redshifts/outlier_fraction_cata_bin_4': 0.052199412137269974, 'redshifts/outlier_fraction_cata_bin_5': 0.015684736892580986}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|████▉ | 781/1563 [1:13:11<1:00:29, 4.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50156.])\n", + "total num of pts: tensor([18063., 12194., 5090., 2882., 1707., 10220.])\n", + "{'redshifts/bias_abs': 0.0755200907588005, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004277696833014488, 'redshifts/bias_bin_0': 0.028032446280121803, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -2.226332617283333e-05, 'redshifts/mse': 0.30849984288215637, 'redshifts/mse_bin_0': 0.4347952902317047, 'redshifts/mse_bin_1': 0.3657035231590271, 'redshifts/mse_bin_2': 0.2895198464393616, 'redshifts/mse_bin_3': 0.2110511064529419, 'redshifts/mse_bin_4': 0.21044130623340607, 'redshifts/mse_bin_5': 0.0703432485461235, 'redshifts/nmad': 0.11175069212913513, 'redshifts/nmad_bin_0': 0.2130301296710968, 'redshifts/nmad_bin_1': 0.13482628762722015, 'redshifts/nmad_bin_2': 0.08868996798992157, 'redshifts/nmad_bin_3': 0.06893892586231232, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.03531205281615257, 'redshifts/outlier_fraction': 0.3246869742870331, 'redshifts/outlier_fraction_bin_0': 0.48862314224243164, 'redshifts/outlier_fraction_bin_1': 0.35566672682762146, 'redshifts/outlier_fraction_bin_2': 0.2585461735725403, 'redshifts/outlier_fraction_bin_3': 0.19292157888412476, 'redshifts/outlier_fraction_bin_4': 0.18101933598518372, 'redshifts/outlier_fraction_bin_5': 0.09207436442375183, 'redshifts/outlier_fraction_cata': 0.08740729093551636, 'redshifts/outlier_fraction_cata_bin_0': 0.13054309785366058, 'redshifts/outlier_fraction_cata_bin_1': 0.09939314424991608, 'redshifts/outlier_fraction_cata_bin_2': 0.07937131822109222, 'redshifts/outlier_fraction_cata_bin_3': 0.05551700294017792, 'redshifts/outlier_fraction_cata_bin_4': 0.052138254046440125, 'redshifts/outlier_fraction_cata_bin_5': 0.015753423795104027}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|█████ | 782/1563 [1:13:23<1:25:54, 6.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50217.])\n", + "total num of pts: tensor([18091., 12208., 5096., 2886., 1707., 10229.])\n", + "{'redshifts/bias_abs': 0.07553458213806152, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004276101943105459, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -1.290440559387207e-05, 'redshifts/mse': 0.3085073232650757, 'redshifts/mse_bin_0': 0.4344359338283539, 'redshifts/mse_bin_1': 0.3658890426158905, 'redshifts/mse_bin_2': 0.2902686297893524, 'redshifts/mse_bin_3': 0.21091359853744507, 'redshifts/mse_bin_4': 0.21044130623340607, 'redshifts/mse_bin_5': 0.07029453665018082, 'redshifts/nmad': 0.11176325380802155, 'redshifts/nmad_bin_0': 0.21298402547836304, 'redshifts/nmad_bin_1': 0.13481548428535461, 'redshifts/nmad_bin_2': 0.0886932760477066, 'redshifts/nmad_bin_3': 0.06906221061944962, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.03530789911746979, 'redshifts/outlier_fraction': 0.32471075654029846, 'redshifts/outlier_fraction_bin_0': 0.48847493529319763, 'redshifts/outlier_fraction_bin_1': 0.35575032234191895, 'redshifts/outlier_fraction_bin_2': 0.25863420963287354, 'redshifts/outlier_fraction_bin_3': 0.1930006891489029, 'redshifts/outlier_fraction_bin_4': 0.18101933598518372, 'redshifts/outlier_fraction_bin_5': 0.09209111332893372, 'redshifts/outlier_fraction_cata': 0.08738076686859131, 'redshifts/outlier_fraction_cata_bin_0': 0.13039633631706238, 'redshifts/outlier_fraction_cata_bin_1': 0.0994429886341095, 'redshifts/outlier_fraction_cata_bin_2': 0.07947409898042679, 'redshifts/outlier_fraction_cata_bin_3': 0.05544005706906319, 'redshifts/outlier_fraction_cata_bin_4': 0.052138254046440125, 'redshifts/outlier_fraction_cata_bin_5': 0.0157395638525486}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|█████ | 783/1563 [1:13:27<1:18:31, 6.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50263.])\n", + "total num of pts: tensor([18110., 12219., 5096., 2887., 1708., 10243.])\n", + "{'redshifts/bias_abs': 0.07554446905851364, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004276425112038851, 'redshifts/bias_bin_0': 0.027985187247395515, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -2.405151235507219e-06, 'redshifts/mse': 0.3084234297275543, 'redshifts/mse_bin_0': 0.43416833877563477, 'redshifts/mse_bin_1': 0.36604273319244385, 'redshifts/mse_bin_2': 0.2902686297893524, 'redshifts/mse_bin_3': 0.2109648734331131, 'redshifts/mse_bin_4': 0.21043357253074646, 'redshifts/mse_bin_5': 0.07020939141511917, 'redshifts/nmad': 0.11176647990942001, 'redshifts/nmad_bin_0': 0.21296808123588562, 'redshifts/nmad_bin_1': 0.13484781980514526, 'redshifts/nmad_bin_2': 0.0886932760477066, 'redshifts/nmad_bin_3': 0.06919082999229431, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.0353044755756855, 'redshifts/outlier_fraction': 0.3247319161891937, 'redshifts/outlier_fraction_bin_0': 0.48845940828323364, 'redshifts/outlier_fraction_bin_1': 0.3557574152946472, 'redshifts/outlier_fraction_bin_2': 0.25863420963287354, 'redshifts/outlier_fraction_bin_3': 0.19328022003173828, 'redshifts/outlier_fraction_bin_4': 0.18149882555007935, 'redshifts/outlier_fraction_bin_5': 0.09206287562847137, 'redshifts/outlier_fraction_cata': 0.08736048638820648, 'redshifts/outlier_fraction_cata_bin_0': 0.13025952875614166, 'redshifts/outlier_fraction_cata_bin_1': 0.09959898889064789, 'redshifts/outlier_fraction_cata_bin_2': 0.07947409898042679, 'redshifts/outlier_fraction_cata_bin_3': 0.055420853197574615, 'redshifts/outlier_fraction_cata_bin_4': 0.05210772901773453, 'redshifts/outlier_fraction_cata_bin_5': 0.01571805216372013}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|█████ | 784/1563 [1:13:33<1:16:44, 5.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50337.])\n", + "total num of pts: tensor([18131., 12240., 5105., 2889., 1711., 10261.])\n", + "{'redshifts/bias_abs': 0.07551401108503342, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004273614846169949, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.30844154953956604, 'redshifts/mse_bin_0': 0.43429869413375854, 'redshifts/mse_bin_1': 0.36627548933029175, 'redshifts/mse_bin_2': 0.28982409834861755, 'redshifts/mse_bin_3': 0.2108290195465088, 'redshifts/mse_bin_4': 0.21010075509548187, 'redshifts/mse_bin_5': 0.070211261510849, 'redshifts/nmad': 0.11174624413251877, 'redshifts/nmad_bin_0': 0.21302145719528198, 'redshifts/nmad_bin_1': 0.13480424880981445, 'redshifts/nmad_bin_2': 0.08875036239624023, 'redshifts/nmad_bin_3': 0.0691893920302391, 'redshifts/nmad_bin_4': 0.0624665766954422, 'redshifts/nmad_bin_5': 0.03540845215320587, 'redshifts/outlier_fraction': 0.324651837348938, 'redshifts/outlier_fraction_bin_0': 0.4884451925754547, 'redshifts/outlier_fraction_bin_1': 0.3557189404964447, 'redshifts/outlier_fraction_bin_2': 0.2583741545677185, 'redshifts/outlier_fraction_bin_3': 0.19314642250537872, 'redshifts/outlier_fraction_bin_4': 0.18118059635162354, 'redshifts/outlier_fraction_bin_5': 0.09209628403186798, 'redshifts/outlier_fraction_cata': 0.08739098161458969, 'redshifts/outlier_fraction_cata_bin_0': 0.13032926619052887, 'redshifts/outlier_fraction_cata_bin_1': 0.09967320412397385, 'redshifts/outlier_fraction_cata_bin_2': 0.07933398336172104, 'redshifts/outlier_fraction_cata_bin_3': 0.055382486432790756, 'redshifts/outlier_fraction_cata_bin_4': 0.05201636627316475, 'redshifts/outlier_fraction_cata_bin_5': 0.015787934884428978}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|█████ | 785/1563 [1:13:38<1:12:19, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50387.])\n", + "total num of pts: tensor([18153., 12253., 5109., 2893., 1712., 10267.])\n", + "{'redshifts/bias_abs': 0.07551465928554535, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004273614846169949, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.011219519190490246, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.3085547089576721, 'redshifts/mse_bin_0': 0.4341985583305359, 'redshifts/mse_bin_1': 0.3668481409549713, 'redshifts/mse_bin_2': 0.2896907925605774, 'redshifts/mse_bin_3': 0.2109195739030838, 'redshifts/mse_bin_4': 0.2099798619747162, 'redshifts/mse_bin_5': 0.07017213106155396, 'redshifts/nmad': 0.11175863444805145, 'redshifts/nmad_bin_0': 0.213027223944664, 'redshifts/nmad_bin_1': 0.13483242690563202, 'redshifts/nmad_bin_2': 0.08875036239624023, 'redshifts/nmad_bin_3': 0.06917702406644821, 'redshifts/nmad_bin_4': 0.06212959066033363, 'redshifts/nmad_bin_5': 0.03540845215320587, 'redshifts/outlier_fraction': 0.3247266113758087, 'redshifts/outlier_fraction_bin_0': 0.48845919966697693, 'redshifts/outlier_fraction_bin_1': 0.35583123564720154, 'redshifts/outlier_fraction_bin_2': 0.2585633099079132, 'redshifts/outlier_fraction_bin_3': 0.19322502613067627, 'redshifts/outlier_fraction_bin_4': 0.18107476830482483, 'redshifts/outlier_fraction_bin_5': 0.0920424684882164, 'redshifts/outlier_fraction_cata': 0.08746303617954254, 'redshifts/outlier_fraction_cata_bin_0': 0.1303916722536087, 'redshifts/outlier_fraction_cata_bin_1': 0.09981229156255722, 'redshifts/outlier_fraction_cata_bin_2': 0.07927187532186508, 'redshifts/outlier_fraction_cata_bin_3': 0.05565157160162926, 'redshifts/outlier_fraction_cata_bin_4': 0.051985982805490494, 'redshifts/outlier_fraction_cata_bin_5': 0.015778709203004837}\n", + "total num of pts: tensor([50448.])\n", + "total num of pts: tensor([18181., 12264., 5113., 2897., 1714., 10279.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|█████ | 786/1563 [1:13:42<1:08:36, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07553264498710632, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023895373567938805, 'redshifts/bias': 0.004256457556039095, 'redshifts/bias_bin_0': 0.0279783234000206, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.3085678815841675, 'redshifts/mse_bin_0': 0.4339282214641571, 'redshifts/mse_bin_1': 0.36739593744277954, 'redshifts/mse_bin_2': 0.2895016372203827, 'redshifts/mse_bin_3': 0.21065549552440643, 'redshifts/mse_bin_4': 0.20974034070968628, 'redshifts/mse_bin_5': 0.07020784914493561, 'redshifts/nmad': 0.11177781224250793, 'redshifts/nmad_bin_0': 0.2129015177488327, 'redshifts/nmad_bin_1': 0.13482628762722015, 'redshifts/nmad_bin_2': 0.08871548622846603, 'redshifts/nmad_bin_3': 0.06906364858150482, 'redshifts/nmad_bin_4': 0.062000349164009094, 'redshifts/nmad_bin_5': 0.03543757647275925, 'redshifts/outlier_fraction': 0.3246709406375885, 'redshifts/outlier_fraction_bin_0': 0.48825696110725403, 'redshifts/outlier_fraction_bin_1': 0.3559197783470154, 'redshifts/outlier_fraction_bin_2': 0.25855663418769836, 'redshifts/outlier_fraction_bin_3': 0.19295823574066162, 'redshifts/outlier_fraction_bin_4': 0.18086346983909607, 'redshifts/outlier_fraction_bin_5': 0.0920322984457016, 'redshifts/outlier_fraction_cata': 0.0874762162566185, 'redshifts/outlier_fraction_cata_bin_0': 0.1303008645772934, 'redshifts/outlier_fraction_cata_bin_1': 0.09996738284826279, 'redshifts/outlier_fraction_cata_bin_2': 0.07920985668897629, 'redshifts/outlier_fraction_cata_bin_3': 0.05557473376393318, 'redshifts/outlier_fraction_cata_bin_4': 0.05192532017827034, 'redshifts/outlier_fraction_cata_bin_5': 0.015857573598623276}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|█████ | 787/1563 [1:13:47<1:04:56, 5.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50514.])\n", + "total num of pts: tensor([18200., 12284., 5121., 2902., 1718., 10289.])\n", + "{'redshifts/bias_abs': 0.07554446905851364, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023895373567938805, 'redshifts/bias': 0.004251795820891857, 'redshifts/bias_bin_0': 0.02796565741300583, 'redshifts/bias_bin_1': 0.011219519190490246, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.30860018730163574, 'redshifts/mse_bin_0': 0.4342213273048401, 'redshifts/mse_bin_1': 0.3673015534877777, 'redshifts/mse_bin_2': 0.2891404330730438, 'redshifts/mse_bin_3': 0.21031129360198975, 'redshifts/mse_bin_4': 0.2101886123418808, 'redshifts/mse_bin_5': 0.07014914602041245, 'redshifts/nmad': 0.11179161816835403, 'redshifts/nmad_bin_0': 0.21298012137413025, 'redshifts/nmad_bin_1': 0.13469022512435913, 'redshifts/nmad_bin_2': 0.0886932760477066, 'redshifts/nmad_bin_3': 0.06872250884771347, 'redshifts/nmad_bin_4': 0.062000349164009094, 'redshifts/nmad_bin_5': 0.03541182726621628, 'redshifts/outlier_fraction': 0.3246624767780304, 'redshifts/outlier_fraction_bin_0': 0.48840659856796265, 'redshifts/outlier_fraction_bin_1': 0.35591012239456177, 'redshifts/outlier_fraction_bin_2': 0.2583479881286621, 'redshifts/outlier_fraction_bin_3': 0.19262577593326569, 'redshifts/outlier_fraction_bin_4': 0.1810244470834732, 'redshifts/outlier_fraction_bin_5': 0.09194285422563553, 'redshifts/outlier_fraction_cata': 0.0875202938914299, 'redshifts/outlier_fraction_cata_bin_0': 0.13043956458568573, 'redshifts/outlier_fraction_cata_bin_1': 0.09996743500232697, 'redshifts/outlier_fraction_cata_bin_2': 0.07908611744642258, 'redshifts/outlier_fraction_cata_bin_3': 0.05547897890210152, 'redshifts/outlier_fraction_cata_bin_4': 0.05238649621605873, 'redshifts/outlier_fraction_cata_bin_5': 0.01584216207265854}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|█████ | 788/1563 [1:13:51<1:01:38, 4.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50565.])\n", + "total num of pts: tensor([18225., 12294., 5125., 2903., 1718., 10300.])\n", + "{'redshifts/bias_abs': 0.07555018365383148, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09113053977489471, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.02392353117465973, 'redshifts/bias': 0.004269473720341921, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.3085156977176666, 'redshifts/mse_bin_0': 0.43419507145881653, 'redshifts/mse_bin_1': 0.36701974272727966, 'redshifts/mse_bin_2': 0.2889472544193268, 'redshifts/mse_bin_3': 0.2104519158601761, 'redshifts/mse_bin_4': 0.2101886123418808, 'redshifts/mse_bin_5': 0.0700833797454834, 'redshifts/nmad': 0.11180369555950165, 'redshifts/nmad_bin_0': 0.2131158709526062, 'redshifts/nmad_bin_1': 0.13462619483470917, 'redshifts/nmad_bin_2': 0.08874652534723282, 'redshifts/nmad_bin_3': 0.06906478106975555, 'redshifts/nmad_bin_4': 0.062000349164009094, 'redshifts/nmad_bin_5': 0.03544066846370697, 'redshifts/outlier_fraction': 0.32467120885849, 'redshifts/outlier_fraction_bin_0': 0.4886145293712616, 'redshifts/outlier_fraction_bin_1': 0.3556206226348877, 'redshifts/outlier_fraction_bin_2': 0.25814634561538696, 'redshifts/outlier_fraction_bin_3': 0.19290389120578766, 'redshifts/outlier_fraction_bin_4': 0.1810244470834732, 'redshifts/outlier_fraction_bin_5': 0.09184466302394867, 'redshifts/outlier_fraction_cata': 0.08749134838581085, 'redshifts/outlier_fraction_cata_bin_0': 0.13042524456977844, 'redshifts/outlier_fraction_cata_bin_1': 0.09988612681627274, 'redshifts/outlier_fraction_cata_bin_2': 0.07902438938617706, 'redshifts/outlier_fraction_cata_bin_3': 0.05545986816287041, 'redshifts/outlier_fraction_cata_bin_4': 0.05238649621605873, 'redshifts/outlier_fraction_cata_bin_5': 0.015825241804122925}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 50%|█████ | 789/1563 [1:13:55<1:00:49, 4.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50630.])\n", + "total num of pts: tensor([18252., 12310., 5131., 2904., 1720., 10313.])\n", + "{'redshifts/bias_abs': 0.07555097341537476, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09113053977489471, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041737593710422516, 'redshifts/bias_abs_bin_5': 0.023924294859170914, 'redshifts/bias': 0.004277696833014488, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.3086826205253601, 'redshifts/mse_bin_0': 0.4346911907196045, 'redshifts/mse_bin_1': 0.36713528633117676, 'redshifts/mse_bin_2': 0.28863897919654846, 'redshifts/mse_bin_3': 0.210379496216774, 'redshifts/mse_bin_4': 0.20998045802116394, 'redshifts/mse_bin_5': 0.07001607120037079, 'redshifts/nmad': 0.11180930584669113, 'redshifts/nmad_bin_0': 0.2130059152841568, 'redshifts/nmad_bin_1': 0.13462619483470917, 'redshifts/nmad_bin_2': 0.08874652534723282, 'redshifts/nmad_bin_3': 0.06883706152439117, 'redshifts/nmad_bin_4': 0.062000349164009094, 'redshifts/nmad_bin_5': 0.035453975200653076, 'redshifts/outlier_fraction': 0.3247086703777313, 'redshifts/outlier_fraction_bin_0': 0.4887135624885559, 'redshifts/outlier_fraction_bin_1': 0.3556458055973053, 'redshifts/outlier_fraction_bin_2': 0.257844477891922, 'redshifts/outlier_fraction_bin_3': 0.19283746182918549, 'redshifts/outlier_fraction_bin_4': 0.1808139532804489, 'redshifts/outlier_fraction_bin_5': 0.0919228121638298, 'redshifts/outlier_fraction_cata': 0.08753703534603119, 'redshifts/outlier_fraction_cata_bin_0': 0.13045145571231842, 'redshifts/outlier_fraction_cata_bin_1': 0.10008123517036438, 'redshifts/outlier_fraction_cata_bin_2': 0.07893197983503342, 'redshifts/outlier_fraction_cata_bin_3': 0.05544077232480049, 'redshifts/outlier_fraction_cata_bin_4': 0.05232558026909828, 'redshifts/outlier_fraction_cata_bin_5': 0.01580529473721981}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 790/1563 [1:14:00<1:01:17, 4.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50691.])\n", + "total num of pts: tensor([18276., 12324., 5138., 2907., 1723., 10323.])\n", + "{'redshifts/bias_abs': 0.07554980367422104, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023924294859170914, 'redshifts/bias': 0.004281789064407349, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.011340675875544548, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.30852365493774414, 'redshifts/mse_bin_0': 0.43464839458465576, 'redshifts/mse_bin_1': 0.36675113439559937, 'redshifts/mse_bin_2': 0.28829851746559143, 'redshifts/mse_bin_3': 0.2102411538362503, 'redshifts/mse_bin_4': 0.209672749042511, 'redshifts/mse_bin_5': 0.069959357380867, 'redshifts/nmad': 0.11177442967891693, 'redshifts/nmad_bin_0': 0.2128821164369583, 'redshifts/nmad_bin_1': 0.13444334268569946, 'redshifts/nmad_bin_2': 0.08874447643756866, 'redshifts/nmad_bin_3': 0.06904718279838562, 'redshifts/nmad_bin_4': 0.06200212240219116, 'redshifts/nmad_bin_5': 0.035453975200653076, 'redshifts/outlier_fraction': 0.324653297662735, 'redshifts/outlier_fraction_bin_0': 0.488618940114975, 'redshifts/outlier_fraction_bin_1': 0.3554040789604187, 'redshifts/outlier_fraction_bin_2': 0.2576878070831299, 'redshifts/outlier_fraction_bin_3': 0.1933264583349228, 'redshifts/outlier_fraction_bin_4': 0.18107950687408447, 'redshifts/outlier_fraction_bin_5': 0.09193064272403717, 'redshifts/outlier_fraction_cata': 0.08747114986181259, 'redshifts/outlier_fraction_cata_bin_0': 0.13038958609104156, 'redshifts/outlier_fraction_cata_bin_1': 0.09996753931045532, 'redshifts/outlier_fraction_cata_bin_2': 0.07882444560527802, 'redshifts/outlier_fraction_cata_bin_3': 0.055383555591106415, 'redshifts/outlier_fraction_cata_bin_4': 0.0522344745695591, 'redshifts/outlier_fraction_cata_bin_5': 0.015789983794093132}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 791/1563 [1:14:05<1:00:10, 4.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50744.])\n", + "total num of pts: tensor([18297., 12338., 5145., 2912., 1723., 10329.])\n", + "{'redshifts/bias_abs': 0.07554446905851364, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023924294859170914, 'redshifts/bias': 0.0043115755543112755, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.011415570974349976, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.30852940678596497, 'redshifts/mse_bin_0': 0.4346018135547638, 'redshifts/mse_bin_1': 0.3669128119945526, 'redshifts/mse_bin_2': 0.2881329655647278, 'redshifts/mse_bin_3': 0.20989902317523956, 'redshifts/mse_bin_4': 0.209672749042511, 'redshifts/mse_bin_5': 0.06992051005363464, 'redshifts/nmad': 0.11176114529371262, 'redshifts/nmad_bin_0': 0.21285122632980347, 'redshifts/nmad_bin_1': 0.13436774909496307, 'redshifts/nmad_bin_2': 0.0887758806347847, 'redshifts/nmad_bin_3': 0.06859266012907028, 'redshifts/nmad_bin_4': 0.06200212240219116, 'redshifts/nmad_bin_5': 0.03546885401010513, 'redshifts/outlier_fraction': 0.32464921474456787, 'redshifts/outlier_fraction_bin_0': 0.4885500371456146, 'redshifts/outlier_fraction_bin_1': 0.3554871082305908, 'redshifts/outlier_fraction_bin_2': 0.25772595405578613, 'redshifts/outlier_fraction_bin_3': 0.19299450516700745, 'redshifts/outlier_fraction_bin_4': 0.18107950687408447, 'redshifts/outlier_fraction_bin_5': 0.09187723696231842, 'redshifts/outlier_fraction_cata': 0.0874389111995697, 'redshifts/outlier_fraction_cata_bin_0': 0.1302945911884308, 'redshifts/outlier_fraction_cata_bin_1': 0.10001620650291443, 'redshifts/outlier_fraction_cata_bin_2': 0.0787172019481659, 'redshifts/outlier_fraction_cata_bin_3': 0.05528846010565758, 'redshifts/outlier_fraction_cata_bin_4': 0.0522344745695591, 'redshifts/outlier_fraction_cata_bin_5': 0.01578081212937832}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 792/1563 [1:14:09<57:35, 4.48s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50800.])\n", + "total num of pts: tensor([18316., 12352., 5149., 2916., 1727., 10340.])\n", + "{'redshifts/bias_abs': 0.07554980367422104, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.02392353117465973, 'redshifts/bias': 0.004284476395696402, 'redshifts/bias_bin_0': 0.02815573289990425, 'redshifts/bias_bin_1': 0.011415570974349976, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.3085055947303772, 'redshifts/mse_bin_0': 0.43448951840400696, 'redshifts/mse_bin_1': 0.367046982049942, 'redshifts/mse_bin_2': 0.2884404957294464, 'redshifts/mse_bin_3': 0.20968963205814362, 'redshifts/mse_bin_4': 0.20923767983913422, 'redshifts/mse_bin_5': 0.06984821707010269, 'redshifts/nmad': 0.11178144812583923, 'redshifts/nmad_bin_0': 0.2129577100276947, 'redshifts/nmad_bin_1': 0.13436774909496307, 'redshifts/nmad_bin_2': 0.08877028524875641, 'redshifts/nmad_bin_3': 0.06859266012907028, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.03544066846370697, 'redshifts/outlier_fraction': 0.32462599873542786, 'redshifts/outlier_fraction_bin_0': 0.48858919739723206, 'redshifts/outlier_fraction_bin_1': 0.35540804266929626, 'redshifts/outlier_fraction_bin_2': 0.25791415572166443, 'redshifts/outlier_fraction_bin_3': 0.19307270646095276, 'redshifts/outlier_fraction_bin_4': 0.18066009879112244, 'redshifts/outlier_fraction_bin_5': 0.09177950024604797, 'redshifts/outlier_fraction_cata': 0.08746062964200974, 'redshifts/outlier_fraction_cata_bin_0': 0.13032321631908417, 'redshifts/outlier_fraction_cata_bin_1': 0.10006476938724518, 'redshifts/outlier_fraction_cata_bin_2': 0.07885026186704636, 'redshifts/outlier_fraction_cata_bin_3': 0.05521262064576149, 'redshifts/outlier_fraction_cata_bin_4': 0.05211349204182625, 'redshifts/outlier_fraction_cata_bin_5': 0.0157640241086483}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 793/1563 [1:14:14<1:01:42, 4.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50862.])\n", + "total num of pts: tensor([18337., 12373., 5152., 2916., 1729., 10355.])\n", + "{'redshifts/bias_abs': 0.07554775476455688, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004276101943105459, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.011340675875544548, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.3083269000053406, 'redshifts/mse_bin_0': 0.4344504177570343, 'redshifts/mse_bin_1': 0.36655300855636597, 'redshifts/mse_bin_2': 0.2882741391658783, 'redshifts/mse_bin_3': 0.20968963205814362, 'redshifts/mse_bin_4': 0.20900239050388336, 'redshifts/mse_bin_5': 0.06974824517965317, 'redshifts/nmad': 0.11179386079311371, 'redshifts/nmad_bin_0': 0.2128935158252716, 'redshifts/nmad_bin_1': 0.13444334268569946, 'redshifts/nmad_bin_2': 0.0886981189250946, 'redshifts/nmad_bin_3': 0.06859266012907028, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.035396527498960495, 'redshifts/outlier_fraction': 0.3245055377483368, 'redshifts/outlier_fraction_bin_0': 0.4885750114917755, 'redshifts/outlier_fraction_bin_1': 0.35512810945510864, 'redshifts/outlier_fraction_bin_2': 0.25776398181915283, 'redshifts/outlier_fraction_bin_3': 0.19307270646095276, 'redshifts/outlier_fraction_bin_4': 0.18045112490653992, 'redshifts/outlier_fraction_bin_5': 0.09164654463529587, 'redshifts/outlier_fraction_cata': 0.0874129980802536, 'redshifts/outlier_fraction_cata_bin_0': 0.13033756613731384, 'redshifts/outlier_fraction_cata_bin_1': 0.0998949334025383, 'redshifts/outlier_fraction_cata_bin_2': 0.07880435138940811, 'redshifts/outlier_fraction_cata_bin_3': 0.05521262064576149, 'redshifts/outlier_fraction_cata_bin_4': 0.05205320939421654, 'redshifts/outlier_fraction_cata_bin_5': 0.01574118807911873}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 794/1563 [1:14:19<1:00:06, 4.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50925.])\n", + "total num of pts: tensor([18363., 12389., 5157., 2919., 1732., 10365.])\n", + "{'redshifts/bias_abs': 0.07555191963911057, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041829049587249756, 'redshifts/bias_abs_bin_5': 0.023895373567938805, 'redshifts/bias': 0.004276101943105459, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.3082186281681061, 'redshifts/mse_bin_0': 0.4344172179698944, 'redshifts/mse_bin_1': 0.36630675196647644, 'redshifts/mse_bin_2': 0.288008451461792, 'redshifts/mse_bin_3': 0.20948053896427155, 'redshifts/mse_bin_4': 0.20867997407913208, 'redshifts/mse_bin_5': 0.06970550864934921, 'redshifts/nmad': 0.1118159219622612, 'redshifts/nmad_bin_0': 0.2133079469203949, 'redshifts/nmad_bin_1': 0.13454681634902954, 'redshifts/nmad_bin_2': 0.08872071653604507, 'redshifts/nmad_bin_3': 0.06872250884771347, 'redshifts/nmad_bin_4': 0.06212959066033363, 'redshifts/nmad_bin_5': 0.03540973737835884, 'redshifts/outlier_fraction': 0.32459500432014465, 'redshifts/outlier_fraction_bin_0': 0.48897239565849304, 'redshifts/outlier_fraction_bin_1': 0.3549116253852844, 'redshifts/outlier_fraction_bin_2': 0.2575140595436096, 'redshifts/outlier_fraction_bin_3': 0.1928742676973343, 'redshifts/outlier_fraction_bin_4': 0.18071593344211578, 'redshifts/outlier_fraction_bin_5': 0.09165460616350174, 'redshifts/outlier_fraction_cata': 0.08738340437412262, 'redshifts/outlier_fraction_cata_bin_0': 0.13031639158725739, 'redshifts/outlier_fraction_cata_bin_1': 0.09984663873910904, 'redshifts/outlier_fraction_cata_bin_2': 0.07872794568538666, 'redshifts/outlier_fraction_cata_bin_3': 0.05515587702393532, 'redshifts/outlier_fraction_cata_bin_4': 0.05196304991841316, 'redshifts/outlier_fraction_cata_bin_5': 0.0157260000705719}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 795/1563 [1:14:23<56:59, 4.45s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([50974.])\n", + "total num of pts: tensor([18380., 12398., 5160., 2921., 1737., 10378.])\n", + "{'redshifts/bias_abs': 0.07554775476455688, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004263460636138916, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.30812868475914, 'redshifts/mse_bin_0': 0.43443065881729126, 'redshifts/mse_bin_1': 0.36613011360168457, 'redshifts/mse_bin_2': 0.2878971993923187, 'redshifts/mse_bin_3': 0.20934301614761353, 'redshifts/mse_bin_4': 0.20809340476989746, 'redshifts/mse_bin_5': 0.06975751370191574, 'redshifts/nmad': 0.11180353164672852, 'redshifts/nmad_bin_0': 0.21297618746757507, 'redshifts/nmad_bin_1': 0.134399875998497, 'redshifts/nmad_bin_2': 0.08865059912204742, 'redshifts/nmad_bin_3': 0.06883706152439117, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.035392746329307556, 'redshifts/outlier_fraction': 0.3245183825492859, 'redshifts/outlier_fraction_bin_0': 0.48895537853240967, 'redshifts/outlier_fraction_bin_1': 0.3548153042793274, 'redshifts/outlier_fraction_bin_2': 0.257558137178421, 'redshifts/outlier_fraction_bin_3': 0.1927422136068344, 'redshifts/outlier_fraction_bin_4': 0.18019573390483856, 'redshifts/outlier_fraction_bin_5': 0.09163615107536316, 'redshifts/outlier_fraction_cata': 0.087358258664608, 'redshifts/outlier_fraction_cata_bin_0': 0.13030467927455902, 'redshifts/outlier_fraction_cata_bin_1': 0.09977415949106216, 'redshifts/outlier_fraction_cata_bin_2': 0.07868216931819916, 'redshifts/outlier_fraction_cata_bin_3': 0.05511811003088951, 'redshifts/outlier_fraction_cata_bin_4': 0.05181347206234932, 'redshifts/outlier_fraction_cata_bin_5': 0.01580265909433365}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 796/1563 [1:14:27<54:55, 4.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51038.])\n", + "total num of pts: tensor([18401., 12414., 5168., 2925., 1737., 10393.])\n", + "{'redshifts/bias_abs': 0.07555191963911057, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.041887182742357254, 'redshifts/bias_abs_bin_5': 0.023895373567938805, 'redshifts/bias': 0.004252952057868242, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -5.507469177246094e-05, 'redshifts/mse': 0.3079422414302826, 'redshifts/mse_bin_0': 0.4342395067214966, 'redshifts/mse_bin_1': 0.3658581078052521, 'redshifts/mse_bin_2': 0.2877845764160156, 'redshifts/mse_bin_3': 0.2090814709663391, 'redshifts/mse_bin_4': 0.20809340476989746, 'redshifts/mse_bin_5': 0.06968797743320465, 'redshifts/nmad': 0.11182818561792374, 'redshifts/nmad_bin_0': 0.2131158709526062, 'redshifts/nmad_bin_1': 0.1345658004283905, 'redshifts/nmad_bin_2': 0.08860219269990921, 'redshifts/nmad_bin_3': 0.06900597363710403, 'redshifts/nmad_bin_4': 0.06217776983976364, 'redshifts/nmad_bin_5': 0.035423699766397476, 'redshifts/outlier_fraction': 0.324483722448349, 'redshifts/outlier_fraction_bin_0': 0.48883211612701416, 'redshifts/outlier_fraction_bin_1': 0.3547607660293579, 'redshifts/outlier_fraction_bin_2': 0.25793343782424927, 'redshifts/outlier_fraction_bin_3': 0.19247862696647644, 'redshifts/outlier_fraction_bin_4': 0.18019573390483856, 'redshifts/outlier_fraction_bin_5': 0.09169633686542511, 'redshifts/outlier_fraction_cata': 0.08730749785900116, 'redshifts/outlier_fraction_cata_bin_0': 0.13026465475559235, 'redshifts/outlier_fraction_cata_bin_1': 0.09964556246995926, 'redshifts/outlier_fraction_cata_bin_2': 0.07875386625528336, 'redshifts/outlier_fraction_cata_bin_3': 0.05504273623228073, 'redshifts/outlier_fraction_cata_bin_4': 0.05181347206234932, 'redshifts/outlier_fraction_cata_bin_5': 0.015779851004481316}\n", + "total num of pts: tensor([51101.])\n", + "total num of pts: tensor([18423., 12431., 5178., 2927., 1739., 10403.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 797/1563 [1:14:31<56:05, 4.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07554775476455688, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004251795820891857, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011286502704024315, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.30818989872932434, 'redshifts/mse_bin_0': 0.4345755875110626, 'redshifts/mse_bin_1': 0.3664013147354126, 'redshifts/mse_bin_2': 0.2877894937992096, 'redshifts/mse_bin_3': 0.2089448869228363, 'redshifts/mse_bin_4': 0.2080644965171814, 'redshifts/mse_bin_5': 0.06962569057941437, 'redshifts/nmad': 0.11179929971694946, 'redshifts/nmad_bin_0': 0.21310725808143616, 'redshifts/nmad_bin_1': 0.1345459222793579, 'redshifts/nmad_bin_2': 0.08835458010435104, 'redshifts/nmad_bin_3': 0.06900597363710403, 'redshifts/nmad_bin_4': 0.06251475214958191, 'redshifts/nmad_bin_5': 0.035409629344940186, 'redshifts/outlier_fraction': 0.3245142102241516, 'redshifts/outlier_fraction_bin_0': 0.48884546756744385, 'redshifts/outlier_fraction_bin_1': 0.35483869910240173, 'redshifts/outlier_fraction_bin_2': 0.25782155990600586, 'redshifts/outlier_fraction_bin_3': 0.19234710931777954, 'redshifts/outlier_fraction_bin_4': 0.1805635392665863, 'redshifts/outlier_fraction_bin_5': 0.09170431643724442, 'redshifts/outlier_fraction_cata': 0.08733684569597244, 'redshifts/outlier_fraction_cata_bin_0': 0.13027194142341614, 'redshifts/outlier_fraction_cata_bin_1': 0.09975062310695648, 'redshifts/outlier_fraction_cata_bin_2': 0.07879490405321121, 'redshifts/outlier_fraction_cata_bin_3': 0.05500512570142746, 'redshifts/outlier_fraction_cata_bin_4': 0.05175388231873512, 'redshifts/outlier_fraction_cata_bin_5': 0.015764683485031128}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 798/1563 [1:14:36<57:13, 4.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51163.])\n", + "total num of pts: tensor([18446., 12448., 5184., 2931., 1739., 10415.])\n", + "{'redshifts/bias_abs': 0.07555191963911057, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004253976047039032, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.011381042189896107, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.30839160084724426, 'redshifts/mse_bin_0': 0.43485671281814575, 'redshifts/mse_bin_1': 0.3665992319583893, 'redshifts/mse_bin_2': 0.2879987955093384, 'redshifts/mse_bin_3': 0.20867957174777985, 'redshifts/mse_bin_4': 0.2080644965171814, 'redshifts/mse_bin_5': 0.06980331242084503, 'redshifts/nmad': 0.1118280291557312, 'redshifts/nmad_bin_0': 0.2131158709526062, 'redshifts/nmad_bin_1': 0.1344570517539978, 'redshifts/nmad_bin_2': 0.08847426623106003, 'redshifts/nmad_bin_3': 0.06900597363710403, 'redshifts/nmad_bin_4': 0.06251475214958191, 'redshifts/nmad_bin_5': 0.035425473004579544, 'redshifts/outlier_fraction': 0.3245704770088196, 'redshifts/outlier_fraction_bin_0': 0.4888864755630493, 'redshifts/outlier_fraction_bin_1': 0.35491645336151123, 'redshifts/outlier_fraction_bin_2': 0.2579089403152466, 'redshifts/outlier_fraction_bin_3': 0.19208461046218872, 'redshifts/outlier_fraction_bin_4': 0.1805635392665863, 'redshifts/outlier_fraction_bin_5': 0.09179068356752396, 'redshifts/outlier_fraction_cata': 0.08744600415229797, 'redshifts/outlier_fraction_cata_bin_0': 0.13048899173736572, 'redshifts/outlier_fraction_cata_bin_1': 0.09977506101131439, 'redshifts/outlier_fraction_cata_bin_2': 0.07889660447835922, 'redshifts/outlier_fraction_cata_bin_3': 0.054930057376623154, 'redshifts/outlier_fraction_cata_bin_4': 0.05175388231873512, 'redshifts/outlier_fraction_cata_bin_5': 0.015842534601688385}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 799/1563 [1:14:41<58:42, 4.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51217.])\n", + "total num of pts: tensor([18472., 12455., 5193., 2933., 1740., 10424.])\n", + "{'redshifts/bias_abs': 0.07558491826057434, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.04194991663098335, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004251795820891857, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011381042189896107, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.30857187509536743, 'redshifts/mse_bin_0': 0.4348881244659424, 'redshifts/mse_bin_1': 0.3669640123844147, 'redshifts/mse_bin_2': 0.28871405124664307, 'redshifts/mse_bin_3': 0.20861680805683136, 'redshifts/mse_bin_4': 0.20796799659729004, 'redshifts/mse_bin_5': 0.0697726234793663, 'redshifts/nmad': 0.11185327917337418, 'redshifts/nmad_bin_0': 0.21314899623394012, 'redshifts/nmad_bin_1': 0.13458016514778137, 'redshifts/nmad_bin_2': 0.08855530619621277, 'redshifts/nmad_bin_3': 0.06897848844528198, 'redshifts/nmad_bin_4': 0.06213686987757683, 'redshifts/nmad_bin_5': 0.03539404273033142, 'redshifts/outlier_fraction': 0.3246968686580658, 'redshifts/outlier_fraction_bin_0': 0.48890212178230286, 'redshifts/outlier_fraction_bin_1': 0.3550381362438202, 'redshifts/outlier_fraction_bin_2': 0.2582322359085083, 'redshifts/outlier_fraction_bin_3': 0.19263552129268646, 'redshifts/outlier_fraction_bin_4': 0.18045976758003235, 'redshifts/outlier_fraction_bin_5': 0.09180736541748047, 'redshifts/outlier_fraction_cata': 0.08754905313253403, 'redshifts/outlier_fraction_cata_bin_0': 0.13052186369895935, 'redshifts/outlier_fraction_cata_bin_1': 0.0999598577618599, 'redshifts/outlier_fraction_cata_bin_2': 0.07933756709098816, 'redshifts/outlier_fraction_cata_bin_3': 0.05489259958267212, 'redshifts/outlier_fraction_cata_bin_4': 0.0517241396009922, 'redshifts/outlier_fraction_cata_bin_5': 0.015828857198357582}\n", + "total num of pts: tensor([51271.])\n", + "total num of pts: tensor([18494., 12471., 5197., 2935., 1742., 10432.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 800/1563 [1:14:46<1:00:23, 4.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07558293640613556, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004260141868144274, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.011415570974349976, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.3088134527206421, 'redshifts/mse_bin_0': 0.434782475233078, 'redshifts/mse_bin_1': 0.36738717555999756, 'redshifts/mse_bin_2': 0.2892650067806244, 'redshifts/mse_bin_3': 0.20847749710083008, 'redshifts/mse_bin_4': 0.21131578087806702, 'redshifts/mse_bin_5': 0.06972019374370575, 'redshifts/nmad': 0.11184677481651306, 'redshifts/nmad_bin_0': 0.21310149133205414, 'redshifts/nmad_bin_1': 0.1346140056848526, 'redshifts/nmad_bin_2': 0.08858669549226761, 'redshifts/nmad_bin_3': 0.06897848844528198, 'redshifts/nmad_bin_4': 0.062177930027246475, 'redshifts/nmad_bin_5': 0.03532398119568825, 'redshifts/outlier_fraction': 0.324725478887558, 'redshifts/outlier_fraction_bin_0': 0.4887531101703644, 'redshifts/outlier_fraction_bin_1': 0.3551439344882965, 'redshifts/outlier_fraction_bin_2': 0.25861072540283203, 'redshifts/outlier_fraction_bin_3': 0.19250425696372986, 'redshifts/outlier_fraction_bin_4': 0.18082663416862488, 'redshifts/outlier_fraction_bin_5': 0.09173696488142014, 'redshifts/outlier_fraction_cata': 0.08761288225650787, 'redshifts/outlier_fraction_cata_bin_0': 0.1304747462272644, 'redshifts/outlier_fraction_cata_bin_1': 0.09999198466539383, 'redshifts/outlier_fraction_cata_bin_2': 0.07985375821590424, 'redshifts/outlier_fraction_cata_bin_3': 0.05485519766807556, 'redshifts/outlier_fraction_cata_bin_4': 0.05223880708217621, 'redshifts/outlier_fraction_cata_bin_5': 0.015816718339920044}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████ | 801/1563 [1:14:51<1:02:08, 4.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51307.])\n", + "total num of pts: tensor([18509., 12482., 5199., 2937., 1743., 10437.])\n", + "{'redshifts/bias_abs': 0.07558491826057434, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004251795820891857, 'redshifts/bias_bin_0': 0.027985187247395515, 'redshifts/bias_bin_1': 0.011420093476772308, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': -2.226332617283333e-05, 'redshifts/mse': 0.30876100063323975, 'redshifts/mse_bin_0': 0.434639036655426, 'redshifts/mse_bin_1': 0.3674105107784271, 'redshifts/mse_bin_2': 0.28915467858314514, 'redshifts/mse_bin_3': 0.20836423337459564, 'redshifts/mse_bin_4': 0.21120287477970123, 'redshifts/mse_bin_5': 0.06969878822565079, 'redshifts/nmad': 0.11185327917337418, 'redshifts/nmad_bin_0': 0.21316061913967133, 'redshifts/nmad_bin_1': 0.13460730016231537, 'redshifts/nmad_bin_2': 0.0886981189250946, 'redshifts/nmad_bin_3': 0.06884296983480453, 'redshifts/nmad_bin_4': 0.06221313774585724, 'redshifts/nmad_bin_5': 0.035333920270204544, 'redshifts/outlier_fraction': 0.3246925473213196, 'redshifts/outlier_fraction_bin_0': 0.4886811673641205, 'redshifts/outlier_fraction_bin_1': 0.3550713062286377, 'redshifts/outlier_fraction_bin_2': 0.2585112452507019, 'redshifts/outlier_fraction_bin_3': 0.19237317144870758, 'redshifts/outlier_fraction_bin_4': 0.1807228922843933, 'redshifts/outlier_fraction_bin_5': 0.09178882837295532, 'redshifts/outlier_fraction_cata': 0.08760987967252731, 'redshifts/outlier_fraction_cata_bin_0': 0.13042303919792175, 'redshifts/outlier_fraction_cata_bin_1': 0.10006409138441086, 'redshifts/outlier_fraction_cata_bin_2': 0.07982303947210312, 'redshifts/outlier_fraction_cata_bin_3': 0.054817840456962585, 'redshifts/outlier_fraction_cata_bin_4': 0.05220883712172508, 'redshifts/outlier_fraction_cata_bin_5': 0.015809141099452972}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████▏ | 802/1563 [1:14:55<57:03, 4.50s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51356.])\n", + "total num of pts: tensor([18527., 12493., 5204., 2940., 1744., 10448.])\n", + "{'redshifts/bias_abs': 0.07557042688131332, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004245568998157978, 'redshifts/bias_bin_0': 0.027960099279880524, 'redshifts/bias_bin_1': 0.011434633284807205, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': -1.290440559387207e-05, 'redshifts/mse': 0.3085865080356598, 'redshifts/mse_bin_0': 0.4343985915184021, 'redshifts/mse_bin_1': 0.36729300022125244, 'redshifts/mse_bin_2': 0.2889150083065033, 'redshifts/mse_bin_3': 0.20815449953079224, 'redshifts/mse_bin_4': 0.21108224987983704, 'redshifts/mse_bin_5': 0.06962716579437256, 'redshifts/nmad': 0.11184048652648926, 'redshifts/nmad_bin_0': 0.2131234109401703, 'redshifts/nmad_bin_1': 0.1346549391746521, 'redshifts/nmad_bin_2': 0.08854670822620392, 'redshifts/nmad_bin_3': 0.06871329993009567, 'redshifts/nmad_bin_4': 0.062177930027246475, 'redshifts/nmad_bin_5': 0.03530789911746979, 'redshifts/outlier_fraction': 0.3246748149394989, 'redshifts/outlier_fraction_bin_0': 0.4886381924152374, 'redshifts/outlier_fraction_bin_1': 0.35515889525413513, 'redshifts/outlier_fraction_bin_2': 0.25864720344543457, 'redshifts/outlier_fraction_bin_3': 0.19217686355113983, 'redshifts/outlier_fraction_bin_4': 0.1806192696094513, 'redshifts/outlier_fraction_bin_5': 0.09169218689203262, 'redshifts/outlier_fraction_cata': 0.08754575997591019, 'redshifts/outlier_fraction_cata_bin_0': 0.13035030663013458, 'redshifts/outlier_fraction_cata_bin_1': 0.09997598826885223, 'redshifts/outlier_fraction_cata_bin_2': 0.07974635064601898, 'redshifts/outlier_fraction_cata_bin_3': 0.05476190522313118, 'redshifts/outlier_fraction_cata_bin_4': 0.05217890068888664, 'redshifts/outlier_fraction_cata_bin_5': 0.015792496502399445}\n", + "total num of pts: tensor([51421.])\n", + "total num of pts: tensor([18544., 12511., 5212., 2944., 1747., 10463.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████▏ | 803/1563 [1:15:00<58:00, 4.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07555745542049408, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.00424924585968256, 'redshifts/bias_bin_0': 0.02785765565931797, 'redshifts/bias_bin_1': 0.011456106789410114, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -2.405151235507219e-06, 'redshifts/mse': 0.3086232841014862, 'redshifts/mse_bin_0': 0.4346698820590973, 'redshifts/mse_bin_1': 0.36745524406433105, 'redshifts/mse_bin_2': 0.28848797082901, 'redshifts/mse_bin_3': 0.2079964578151703, 'redshifts/mse_bin_4': 0.21085026860237122, 'redshifts/mse_bin_5': 0.06954739987850189, 'redshifts/nmad': 0.11183368414640427, 'redshifts/nmad_bin_0': 0.21308039128780365, 'redshifts/nmad_bin_1': 0.134690523147583, 'redshifts/nmad_bin_2': 0.08845990896224976, 'redshifts/nmad_bin_3': 0.06872882694005966, 'redshifts/nmad_bin_4': 0.06270104646682739, 'redshifts/nmad_bin_5': 0.03538517281413078, 'redshifts/outlier_fraction': 0.3246338963508606, 'redshifts/outlier_fraction_bin_0': 0.48862165212631226, 'redshifts/outlier_fraction_bin_1': 0.3551274836063385, 'redshifts/outlier_fraction_bin_2': 0.2584420442581177, 'redshifts/outlier_fraction_bin_3': 0.192255437374115, 'redshifts/outlier_fraction_bin_4': 0.18088151514530182, 'redshifts/outlier_fraction_bin_5': 0.09175188839435577, 'redshifts/outlier_fraction_cata': 0.08759067207574844, 'redshifts/outlier_fraction_cata_bin_0': 0.13044650852680206, 'redshifts/outlier_fraction_cata_bin_1': 0.10015186667442322, 'redshifts/outlier_fraction_cata_bin_2': 0.07962394505739212, 'redshifts/outlier_fraction_cata_bin_3': 0.0546875, 'redshifts/outlier_fraction_cata_bin_4': 0.05208929628133774, 'redshifts/outlier_fraction_cata_bin_5': 0.015769856050610542}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 51%|█████▏ | 804/1563 [1:15:03<54:24, 4.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51487.])\n", + "total num of pts: tensor([18575., 12523., 5220., 2950., 1748., 10471.])\n", + "{'redshifts/bias_abs': 0.07557042688131332, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004232398699969053, 'redshifts/bias_bin_0': 0.02785627730190754, 'redshifts/bias_bin_1': 0.011456106789410114, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': -1.290440559387207e-05, 'redshifts/mse': 0.30866894125938416, 'redshifts/mse_bin_0': 0.43483301997184753, 'redshifts/mse_bin_1': 0.3672603368759155, 'redshifts/mse_bin_2': 0.2884999215602875, 'redshifts/mse_bin_3': 0.2076094150543213, 'redshifts/mse_bin_4': 0.2107374370098114, 'redshifts/mse_bin_5': 0.06966198235750198, 'redshifts/nmad': 0.11182524263858795, 'redshifts/nmad_bin_0': 0.2130824476480484, 'redshifts/nmad_bin_1': 0.13462311029434204, 'redshifts/nmad_bin_2': 0.08843137323856354, 'redshifts/nmad_bin_3': 0.06875953823328018, 'redshifts/nmad_bin_4': 0.06243882328271866, 'redshifts/nmad_bin_5': 0.03539237007498741, 'redshifts/outlier_fraction': 0.32466447353363037, 'redshifts/outlier_fraction_bin_0': 0.48861372470855713, 'redshifts/outlier_fraction_bin_1': 0.3551065921783447, 'redshifts/outlier_fraction_bin_2': 0.2584291100502014, 'redshifts/outlier_fraction_bin_3': 0.19186440110206604, 'redshifts/outlier_fraction_bin_4': 0.18077802658081055, 'redshifts/outlier_fraction_bin_5': 0.09187278896570206, 'redshifts/outlier_fraction_cata': 0.08761435002088547, 'redshifts/outlier_fraction_cata_bin_0': 0.1304979771375656, 'redshifts/outlier_fraction_cata_bin_1': 0.10005589574575424, 'redshifts/outlier_fraction_cata_bin_2': 0.07969348877668381, 'redshifts/outlier_fraction_cata_bin_3': 0.054576270282268524, 'redshifts/outlier_fraction_cata_bin_4': 0.05205949768424034, 'redshifts/outlier_fraction_cata_bin_5': 0.015853310003876686}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 805/1563 [1:15:06<49:26, 3.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51553.])\n", + "total num of pts: tensor([18601., 12536., 5226., 2955., 1750., 10485.])\n", + "{'redshifts/bias_abs': 0.07555097341537476, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004251072183251381, 'redshifts/bias_bin_0': 0.02785765565931797, 'redshifts/bias_bin_1': 0.011456106789410114, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.2033675034217595e-07, 'redshifts/mse': 0.3087290823459625, 'redshifts/mse_bin_0': 0.4349384605884552, 'redshifts/mse_bin_1': 0.36765244603157043, 'redshifts/mse_bin_2': 0.28823983669281006, 'redshifts/mse_bin_3': 0.20726269483566284, 'redshifts/mse_bin_4': 0.21051323413848877, 'redshifts/mse_bin_5': 0.06957858800888062, 'redshifts/nmad': 0.11182071268558502, 'redshifts/nmad_bin_0': 0.21314024925231934, 'redshifts/nmad_bin_1': 0.13456210494041443, 'redshifts/nmad_bin_2': 0.08845990896224976, 'redshifts/nmad_bin_3': 0.06872882694005966, 'redshifts/nmad_bin_4': 0.06273625791072845, 'redshifts/nmad_bin_5': 0.035373058170080185, 'redshifts/outlier_fraction': 0.3246561884880066, 'redshifts/outlier_fraction_bin_0': 0.48868340253829956, 'redshifts/outlier_fraction_bin_1': 0.3551371991634369, 'redshifts/outlier_fraction_bin_2': 0.2585151195526123, 'redshifts/outlier_fraction_bin_3': 0.19153976440429688, 'redshifts/outlier_fraction_bin_4': 0.18057142198085785, 'redshifts/outlier_fraction_bin_5': 0.0917501226067543, 'redshifts/outlier_fraction_cata': 0.0876767635345459, 'redshifts/outlier_fraction_cata_bin_0': 0.13063813745975494, 'redshifts/outlier_fraction_cata_bin_1': 0.10019145160913467, 'redshifts/outlier_fraction_cata_bin_2': 0.07960198819637299, 'redshifts/outlier_fraction_cata_bin_3': 0.05448392406105995, 'redshifts/outlier_fraction_cata_bin_4': 0.052000001072883606, 'redshifts/outlier_fraction_cata_bin_5': 0.015832141041755676}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 806/1563 [1:15:08<43:20, 3.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51614.])\n", + "total num of pts: tensor([18618., 12553., 5237., 2957., 1753., 10496.])\n", + "{'redshifts/bias_abs': 0.07555097341537476, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.09113053977489471, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004269473720341921, 'redshifts/bias_bin_0': 0.0279783234000206, 'redshifts/bias_bin_1': 0.011506020091474056, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 2.473592758178711e-06, 'redshifts/mse': 0.30881762504577637, 'redshifts/mse_bin_0': 0.4350125789642334, 'redshifts/mse_bin_1': 0.3681284785270691, 'redshifts/mse_bin_2': 0.28796905279159546, 'redshifts/mse_bin_3': 0.20712479948997498, 'redshifts/mse_bin_4': 0.21017426252365112, 'redshifts/mse_bin_5': 0.06956347823143005, 'redshifts/nmad': 0.11181244254112244, 'redshifts/nmad_bin_0': 0.21295788884162903, 'redshifts/nmad_bin_1': 0.1347033828496933, 'redshifts/nmad_bin_2': 0.08844554424285889, 'redshifts/nmad_bin_3': 0.06872882694005966, 'redshifts/nmad_bin_4': 0.0627492219209671, 'redshifts/nmad_bin_5': 0.035369567573070526, 'redshifts/outlier_fraction': 0.3246018588542938, 'redshifts/outlier_fraction_bin_0': 0.4885057508945465, 'redshifts/outlier_fraction_bin_1': 0.35521388053894043, 'redshifts/outlier_fraction_bin_2': 0.2585449814796448, 'redshifts/outlier_fraction_bin_3': 0.19141021370887756, 'redshifts/outlier_fraction_bin_4': 0.18026240170001984, 'redshifts/outlier_fraction_bin_5': 0.09184451401233673, 'redshifts/outlier_fraction_cata': 0.08772813528776169, 'redshifts/outlier_fraction_cata_bin_0': 0.1307336986064911, 'redshifts/outlier_fraction_cata_bin_1': 0.10029475390911102, 'redshifts/outlier_fraction_cata_bin_2': 0.07962574064731598, 'redshifts/outlier_fraction_cata_bin_3': 0.054447073489427567, 'redshifts/outlier_fraction_cata_bin_4': 0.05191101133823395, 'redshifts/outlier_fraction_cata_bin_5': 0.015815548598766327}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 807/1563 [1:15:11<39:28, 3.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51671.])\n", + "total num of pts: tensor([18638., 12567., 5243., 2959., 1756., 10508.])\n", + "{'redshifts/bias_abs': 0.07558293640613556, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004276425112038851, 'redshifts/bias_bin_0': 0.028032446280121803, 'redshifts/bias_bin_1': 0.011487627401947975, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 1.2033675034217595e-07, 'redshifts/mse': 0.30910423398017883, 'redshifts/mse_bin_0': 0.43551257252693176, 'redshifts/mse_bin_1': 0.36825031042099, 'redshifts/mse_bin_2': 0.28788331151008606, 'redshifts/mse_bin_3': 0.20709602534770966, 'redshifts/mse_bin_4': 0.21189621090888977, 'redshifts/mse_bin_5': 0.06971686333417892, 'redshifts/nmad': 0.11185426265001297, 'redshifts/nmad_bin_0': 0.2131344974040985, 'redshifts/nmad_bin_1': 0.13481473922729492, 'redshifts/nmad_bin_2': 0.08834022283554077, 'redshifts/nmad_bin_3': 0.06872882694005966, 'redshifts/nmad_bin_4': 0.0627492219209671, 'redshifts/nmad_bin_5': 0.035373058170080185, 'redshifts/outlier_fraction': 0.3247469663619995, 'redshifts/outlier_fraction_bin_0': 0.4888400137424469, 'redshifts/outlier_fraction_bin_1': 0.3552956283092499, 'redshifts/outlier_fraction_bin_2': 0.258439838886261, 'redshifts/outlier_fraction_bin_3': 0.19161878526210785, 'redshifts/outlier_fraction_bin_4': 0.18052391707897186, 'redshifts/outlier_fraction_bin_5': 0.09183479100465775, 'redshifts/outlier_fraction_cata': 0.08780553936958313, 'redshifts/outlier_fraction_cata_bin_0': 0.130808025598526, 'redshifts/outlier_fraction_cata_bin_1': 0.10034216940402985, 'redshifts/outlier_fraction_cata_bin_2': 0.07972534745931625, 'redshifts/outlier_fraction_cata_bin_3': 0.05441027507185936, 'redshifts/outlier_fraction_cata_bin_4': 0.05239180102944374, 'redshifts/outlier_fraction_cata_bin_5': 0.015892652794718742}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 808/1563 [1:15:13<37:00, 2.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51741.])\n", + "total num of pts: tensor([18660., 12587., 5255., 2963., 1757., 10519.])\n", + "{'redshifts/bias_abs': 0.07560035586357117, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.00424924585968256, 'redshifts/bias_bin_0': 0.0279783234000206, 'redshifts/bias_bin_1': 0.011448400095105171, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.3090815842151642, 'redshifts/mse_bin_0': 0.4354582130908966, 'redshifts/mse_bin_1': 0.36797600984573364, 'redshifts/mse_bin_2': 0.2886752784252167, 'redshifts/mse_bin_3': 0.20683375000953674, 'redshifts/mse_bin_4': 0.21177563071250916, 'redshifts/mse_bin_5': 0.06967420876026154, 'redshifts/nmad': 0.11189456284046173, 'redshifts/nmad_bin_0': 0.2131934016942978, 'redshifts/nmad_bin_1': 0.1349104344844818, 'redshifts/nmad_bin_2': 0.08845513314008713, 'redshifts/nmad_bin_3': 0.06875953823328018, 'redshifts/nmad_bin_4': 0.0629204586148262, 'redshifts/nmad_bin_5': 0.035404518246650696, 'redshifts/outlier_fraction': 0.3248487710952759, 'redshifts/outlier_fraction_bin_0': 0.48890674114227295, 'redshifts/outlier_fraction_bin_1': 0.35552555322647095, 'redshifts/outlier_fraction_bin_2': 0.258801132440567, 'redshifts/outlier_fraction_bin_3': 0.19136010110378265, 'redshifts/outlier_fraction_bin_4': 0.18042117357254028, 'redshifts/outlier_fraction_bin_5': 0.09183382242918015, 'redshifts/outlier_fraction_cata': 0.0878027081489563, 'redshifts/outlier_fraction_cata_bin_0': 0.13086816668510437, 'redshifts/outlier_fraction_cata_bin_1': 0.10018272697925568, 'redshifts/outlier_fraction_cata_bin_2': 0.07992388308048248, 'redshifts/outlier_fraction_cata_bin_3': 0.05433681979775429, 'redshifts/outlier_fraction_cata_bin_4': 0.05236198008060455, 'redshifts/outlier_fraction_cata_bin_5': 0.015876034274697304}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 809/1563 [1:15:16<35:04, 2.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51789.])\n", + "total num of pts: tensor([18678., 12598., 5260., 2968., 1761., 10524.])\n", + "{'redshifts/bias_abs': 0.07558684796094894, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.00424924585968256, 'redshifts/bias_bin_0': 0.028011253103613853, 'redshifts/bias_bin_1': 0.011415570974349976, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.30897611379623413, 'redshifts/mse_bin_0': 0.43538522720336914, 'redshifts/mse_bin_1': 0.3677400052547455, 'redshifts/mse_bin_2': 0.2884227931499481, 'redshifts/mse_bin_3': 0.20649628341197968, 'redshifts/mse_bin_4': 0.2122412472963333, 'redshifts/mse_bin_5': 0.06964176148176193, 'redshifts/nmad': 0.11185355484485626, 'redshifts/nmad_bin_0': 0.21314457058906555, 'redshifts/nmad_bin_1': 0.1348554939031601, 'redshifts/nmad_bin_2': 0.08833544701337814, 'redshifts/nmad_bin_3': 0.06872882694005966, 'redshifts/nmad_bin_4': 0.0629502683877945, 'redshifts/nmad_bin_5': 0.03532398119568825, 'redshifts/outlier_fraction': 0.32474076747894287, 'redshifts/outlier_fraction_bin_0': 0.48881036043167114, 'redshifts/outlier_fraction_bin_1': 0.3553738594055176, 'redshifts/outlier_fraction_bin_2': 0.258555144071579, 'redshifts/outlier_fraction_bin_3': 0.19103772938251495, 'redshifts/outlier_fraction_bin_4': 0.18057921528816223, 'redshifts/outlier_fraction_bin_5': 0.09179019182920456, 'redshifts/outlier_fraction_cata': 0.08781787753105164, 'redshifts/outlier_fraction_cata_bin_0': 0.13095620274543762, 'redshifts/outlier_fraction_cata_bin_1': 0.1000952497124672, 'redshifts/outlier_fraction_cata_bin_2': 0.07984790951013565, 'redshifts/outlier_fraction_cata_bin_3': 0.05424528196454048, 'redshifts/outlier_fraction_cata_bin_4': 0.0528109036386013, 'redshifts/outlier_fraction_cata_bin_5': 0.01586849056184292}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 810/1563 [1:15:18<34:13, 2.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51842.])\n", + "total num of pts: tensor([18694., 12609., 5269., 2974., 1762., 10534.])\n", + "{'redshifts/bias_abs': 0.07559908926486969, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004231061786413193, 'redshifts/bias_bin_0': 0.027985187247395515, 'redshifts/bias_bin_1': 0.011420093476772308, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.3090752959251404, 'redshifts/mse_bin_0': 0.43532902002334595, 'redshifts/mse_bin_1': 0.36829236149787903, 'redshifts/mse_bin_2': 0.28844398260116577, 'redshifts/mse_bin_3': 0.20669062435626984, 'redshifts/mse_bin_4': 0.21212297677993774, 'redshifts/mse_bin_5': 0.06958167999982834, 'redshifts/nmad': 0.11188269406557083, 'redshifts/nmad_bin_0': 0.21316882967948914, 'redshifts/nmad_bin_1': 0.13491970300674438, 'redshifts/nmad_bin_2': 0.08842380344867706, 'redshifts/nmad_bin_3': 0.06854453682899475, 'redshifts/nmad_bin_4': 0.0627492219209671, 'redshifts/nmad_bin_5': 0.03529718145728111, 'redshifts/outlier_fraction': 0.32479456067085266, 'redshifts/outlier_fraction_bin_0': 0.48881995677948, 'redshifts/outlier_fraction_bin_1': 0.35546037554740906, 'redshifts/outlier_fraction_bin_2': 0.25906243920326233, 'redshifts/outlier_fraction_bin_3': 0.19098857045173645, 'redshifts/outlier_fraction_bin_4': 0.18047672510147095, 'redshifts/outlier_fraction_bin_5': 0.09179798513650894, 'redshifts/outlier_fraction_cata': 0.08784383535385132, 'redshifts/outlier_fraction_cata_bin_0': 0.13095110654830933, 'redshifts/outlier_fraction_cata_bin_1': 0.10016654431819916, 'redshifts/outlier_fraction_cata_bin_2': 0.0799013078212738, 'redshifts/outlier_fraction_cata_bin_3': 0.05447209253907204, 'redshifts/outlier_fraction_cata_bin_4': 0.05278092995285988, 'redshifts/outlier_fraction_cata_bin_5': 0.015853427350521088}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 811/1563 [1:15:21<34:32, 2.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51894.])\n", + "total num of pts: tensor([18718., 12614., 5273., 2976., 1763., 10550.])\n", + "{'redshifts/bias_abs': 0.07559318840503693, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004230919759720564, 'redshifts/bias_bin_0': 0.0279783234000206, 'redshifts/bias_bin_1': 0.011420093476772308, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.3091440498828888, 'redshifts/mse_bin_0': 0.4354003667831421, 'redshifts/mse_bin_1': 0.36873796582221985, 'redshifts/mse_bin_2': 0.28823304176330566, 'redshifts/mse_bin_3': 0.2065555602312088, 'redshifts/mse_bin_4': 0.2120026797056198, 'redshifts/mse_bin_5': 0.06950820982456207, 'redshifts/nmad': 0.11186221987009048, 'redshifts/nmad_bin_0': 0.21318355202674866, 'redshifts/nmad_bin_1': 0.13491970300674438, 'redshifts/nmad_bin_2': 0.08843137323856354, 'redshifts/nmad_bin_3': 0.06854453682899475, 'redshifts/nmad_bin_4': 0.0629204586148262, 'redshifts/nmad_bin_5': 0.03529411554336548, 'redshifts/outlier_fraction': 0.3248545229434967, 'redshifts/outlier_fraction_bin_0': 0.48894113302230835, 'redshifts/outlier_fraction_bin_1': 0.35555732250213623, 'redshifts/outlier_fraction_bin_2': 0.25886592268943787, 'redshifts/outlier_fraction_bin_3': 0.19086021184921265, 'redshifts/outlier_fraction_bin_4': 0.1803743690252304, 'redshifts/outlier_fraction_bin_5': 0.09194312989711761, 'redshifts/outlier_fraction_cata': 0.08785215765237808, 'redshifts/outlier_fraction_cata_bin_0': 0.13094347715377808, 'redshifts/outlier_fraction_cata_bin_1': 0.10028539597988129, 'redshifts/outlier_fraction_cata_bin_2': 0.07984069734811783, 'redshifts/outlier_fraction_cata_bin_3': 0.05443548411130905, 'redshifts/outlier_fraction_cata_bin_4': 0.05275099352002144, 'redshifts/outlier_fraction_cata_bin_5': 0.015829384326934814}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 812/1563 [1:15:24<33:56, 2.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([51956.])\n", + "total num of pts: tensor([18747., 12624., 5279., 2979., 1764., 10563.])\n", + "{'redshifts/bias_abs': 0.07557759433984756, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004231061786413193, 'redshifts/bias_bin_0': 0.027960099279880524, 'redshifts/bias_bin_1': 0.011420093476772308, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.30905798077583313, 'redshifts/mse_bin_0': 0.4351555109024048, 'redshifts/mse_bin_1': 0.3684552311897278, 'redshifts/mse_bin_2': 0.2889672517776489, 'redshifts/mse_bin_3': 0.20634782314300537, 'redshifts/mse_bin_4': 0.21190717816352844, 'redshifts/mse_bin_5': 0.06950685381889343, 'redshifts/nmad': 0.11182978749275208, 'redshifts/nmad_bin_0': 0.2131975293159485, 'redshifts/nmad_bin_1': 0.13482666015625, 'redshifts/nmad_bin_2': 0.08843137323856354, 'redshifts/nmad_bin_3': 0.06840743869543076, 'redshifts/nmad_bin_4': 0.0627492219209671, 'redshifts/nmad_bin_5': 0.03528234735131264, 'redshifts/outlier_fraction': 0.32479405403137207, 'redshifts/outlier_fraction_bin_0': 0.4888782203197479, 'redshifts/outlier_fraction_bin_1': 0.3552756607532501, 'redshifts/outlier_fraction_bin_2': 0.25876113772392273, 'redshifts/outlier_fraction_bin_3': 0.1906680166721344, 'redshifts/outlier_fraction_bin_4': 0.18083900213241577, 'redshifts/outlier_fraction_bin_5': 0.09201931208372116, 'redshifts/outlier_fraction_cata': 0.08782431483268738, 'redshifts/outlier_fraction_cata_bin_0': 0.13090094923973083, 'redshifts/outlier_fraction_cata_bin_1': 0.10020595788955688, 'redshifts/outlier_fraction_cata_bin_2': 0.07993938028812408, 'redshifts/outlier_fraction_cata_bin_3': 0.054380666464567184, 'redshifts/outlier_fraction_cata_bin_4': 0.052721086889505386, 'redshifts/outlier_fraction_cata_bin_5': 0.015809902921319008}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 813/1563 [1:15:27<36:22, 2.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52012.])\n", + "total num of pts: tensor([18764., 12634., 5282., 2986., 1768., 10578.])\n", + "{'redshifts/bias_abs': 0.07557042688131332, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004232741892337799, 'redshifts/bias_bin_0': 0.02796565741300583, 'redshifts/bias_bin_1': 0.011434633284807205, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.3090159296989441, 'redshifts/mse_bin_0': 0.43510353565216064, 'redshifts/mse_bin_1': 0.3684053421020508, 'redshifts/mse_bin_2': 0.28882384300231934, 'redshifts/mse_bin_3': 0.20594948530197144, 'redshifts/mse_bin_4': 0.21263186633586884, 'redshifts/mse_bin_5': 0.06970618665218353, 'redshifts/nmad': 0.11182575672864914, 'redshifts/nmad_bin_0': 0.21313165128231049, 'redshifts/nmad_bin_1': 0.134809210896492, 'redshifts/nmad_bin_2': 0.08833544701337814, 'redshifts/nmad_bin_3': 0.06854453682899475, 'redshifts/nmad_bin_4': 0.06276394426822662, 'redshifts/nmad_bin_5': 0.03527575731277466, 'redshifts/outlier_fraction': 0.3247327506542206, 'redshifts/outlier_fraction_bin_0': 0.48880836367607117, 'redshifts/outlier_fraction_bin_1': 0.3553110659122467, 'redshifts/outlier_fraction_bin_2': 0.2586141526699066, 'redshifts/outlier_fraction_bin_3': 0.19022102653980255, 'redshifts/outlier_fraction_bin_4': 0.18156108260154724, 'redshifts/outlier_fraction_bin_5': 0.09207789599895477, 'redshifts/outlier_fraction_cata': 0.08780665695667267, 'redshifts/outlier_fraction_cata_bin_0': 0.1308889389038086, 'redshifts/outlier_fraction_cata_bin_1': 0.10012663900852203, 'redshifts/outlier_fraction_cata_bin_2': 0.07989397644996643, 'redshifts/outlier_fraction_cata_bin_3': 0.05425318330526352, 'redshifts/outlier_fraction_cata_bin_4': 0.053167421370744705, 'redshifts/outlier_fraction_cata_bin_5': 0.015882018953561783}\n", + "total num of pts: tensor([52064.])\n", + "total num of pts: tensor([18791., 12643., 5286., 2990., 1769., 10585.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 814/1563 [1:15:33<47:41, 3.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07558491826057434, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.00424843467772007, 'redshifts/bias_bin_0': 0.0279783234000206, 'redshifts/bias_bin_1': 0.011448400095105171, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.309163361787796, 'redshifts/mse_bin_0': 0.43538543581962585, 'redshifts/mse_bin_1': 0.36860668659210205, 'redshifts/mse_bin_2': 0.2887287735939026, 'redshifts/mse_bin_3': 0.20573225617408752, 'redshifts/mse_bin_4': 0.21251195669174194, 'redshifts/mse_bin_5': 0.06966114789247513, 'redshifts/nmad': 0.11184830218553543, 'redshifts/nmad_bin_0': 0.21317899227142334, 'redshifts/nmad_bin_1': 0.13486714661121368, 'redshifts/nmad_bin_2': 0.08834022283554077, 'redshifts/nmad_bin_3': 0.06854453682899475, 'redshifts/nmad_bin_4': 0.06276394426822662, 'redshifts/nmad_bin_5': 0.03526018187403679, 'redshifts/outlier_fraction': 0.3247925639152527, 'redshifts/outlier_fraction_bin_0': 0.4887978434562683, 'redshifts/outlier_fraction_bin_1': 0.355532705783844, 'redshifts/outlier_fraction_bin_2': 0.2586076557636261, 'redshifts/outlier_fraction_bin_3': 0.18996655941009521, 'redshifts/outlier_fraction_bin_4': 0.1814584583044052, 'redshifts/outlier_fraction_bin_5': 0.09201700240373611, 'redshifts/outlier_fraction_cata': 0.08785340934991837, 'redshifts/outlier_fraction_cata_bin_0': 0.1309669464826584, 'redshifts/outlier_fraction_cata_bin_1': 0.10021355748176575, 'redshifts/outlier_fraction_cata_bin_2': 0.07983352243900299, 'redshifts/outlier_fraction_cata_bin_3': 0.054180603474378586, 'redshifts/outlier_fraction_cata_bin_4': 0.053137365728616714, 'redshifts/outlier_fraction_cata_bin_5': 0.01587151549756527}\n", + "total num of pts: tensor([52113.])\n", + "total num of pts: tensor([18806., 12659., 5289., 2993., 1770., 10596.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 815/1563 [1:15:43<1:11:32, 5.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07560035586357117, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004245568998157978, 'redshifts/bias_bin_0': 0.027985187247395515, 'redshifts/bias_bin_1': 0.011434633284807205, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.3091370463371277, 'redshifts/mse_bin_0': 0.4354018568992615, 'redshifts/mse_bin_1': 0.36863067746162415, 'redshifts/mse_bin_2': 0.28862130641937256, 'redshifts/mse_bin_3': 0.2056524008512497, 'redshifts/mse_bin_4': 0.2123919427394867, 'redshifts/mse_bin_5': 0.06959442049264908, 'redshifts/nmad': 0.11187295615673065, 'redshifts/nmad_bin_0': 0.21319371461868286, 'redshifts/nmad_bin_1': 0.13494126498699188, 'redshifts/nmad_bin_2': 0.08834022283554077, 'redshifts/nmad_bin_3': 0.06856582313776016, 'redshifts/nmad_bin_4': 0.06243882328271866, 'redshifts/nmad_bin_5': 0.035284534096717834, 'redshifts/outlier_fraction': 0.3249093294143677, 'redshifts/outlier_fraction_bin_0': 0.48893970251083374, 'redshifts/outlier_fraction_bin_1': 0.3558732867240906, 'redshifts/outlier_fraction_bin_2': 0.2586500346660614, 'redshifts/outlier_fraction_bin_3': 0.1901102513074875, 'redshifts/outlier_fraction_bin_4': 0.18135593831539154, 'redshifts/outlier_fraction_bin_5': 0.09192147850990295, 'redshifts/outlier_fraction_cata': 0.08786675333976746, 'redshifts/outlier_fraction_cata_bin_0': 0.13102202117443085, 'redshifts/outlier_fraction_cata_bin_1': 0.10024488717317581, 'redshifts/outlier_fraction_cata_bin_2': 0.07978823781013489, 'redshifts/outlier_fraction_cata_bin_3': 0.05412629619240761, 'redshifts/outlier_fraction_cata_bin_4': 0.05310734361410141, 'redshifts/outlier_fraction_cata_bin_5': 0.01585504040122032}\n", + "total num of pts: tensor([52174.])\n", + "total num of pts: tensor([18832., 12671., 5292., 2999., 1772., 10608.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 816/1563 [1:15:51<1:17:44, 6.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07559318840503693, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.00424843467772007, 'redshifts/bias_bin_0': 0.02796565741300583, 'redshifts/bias_bin_1': 0.011434633284807205, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.3091251850128174, 'redshifts/mse_bin_0': 0.4354899227619171, 'redshifts/mse_bin_1': 0.36868005990982056, 'redshifts/mse_bin_2': 0.288480669260025, 'redshifts/mse_bin_3': 0.20525045692920685, 'redshifts/mse_bin_4': 0.2121565043926239, 'redshifts/mse_bin_5': 0.0695204958319664, 'redshifts/nmad': 0.11185476183891296, 'redshifts/nmad_bin_0': 0.21323351562023163, 'redshifts/nmad_bin_1': 0.13499195873737335, 'redshifts/nmad_bin_2': 0.08833692222833633, 'redshifts/nmad_bin_3': 0.06852549314498901, 'redshifts/nmad_bin_4': 0.06273625791072845, 'redshifts/nmad_bin_5': 0.03526018187403679, 'redshifts/outlier_fraction': 0.3249703049659729, 'redshifts/outlier_fraction_bin_0': 0.48911428451538086, 'redshifts/outlier_fraction_bin_1': 0.3560097813606262, 'redshifts/outlier_fraction_bin_2': 0.25869235396385193, 'redshifts/outlier_fraction_bin_3': 0.18972991406917572, 'redshifts/outlier_fraction_bin_4': 0.18115124106407166, 'redshifts/outlier_fraction_bin_5': 0.09181749820709229, 'redshifts/outlier_fraction_cata': 0.08784068375825882, 'redshifts/outlier_fraction_cata_bin_0': 0.13100042939186096, 'redshifts/outlier_fraction_cata_bin_1': 0.10022886842489243, 'redshifts/outlier_fraction_cata_bin_2': 0.07974300533533096, 'redshifts/outlier_fraction_cata_bin_3': 0.05401800572872162, 'redshifts/outlier_fraction_cata_bin_4': 0.05304740369319916, 'redshifts/outlier_fraction_cata_bin_5': 0.015837104991078377}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 817/1563 [1:16:04<1:41:56, 8.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52229.])\n", + "total num of pts: tensor([18852., 12685., 5299., 3002., 1775., 10616.])\n", + "{'redshifts/bias_abs': 0.07559908926486969, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004252952057868242, 'redshifts/bias_bin_0': 0.0279783234000206, 'redshifts/bias_bin_1': 0.011456106789410114, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.3094598948955536, 'redshifts/mse_bin_0': 0.43658512830734253, 'redshifts/mse_bin_1': 0.36860135197639465, 'redshifts/mse_bin_2': 0.2881230115890503, 'redshifts/mse_bin_3': 0.20508240163326263, 'redshifts/mse_bin_4': 0.21184493601322174, 'redshifts/mse_bin_5': 0.06952880322933197, 'redshifts/nmad': 0.11185572296380997, 'redshifts/nmad_bin_0': 0.21336396038532257, 'redshifts/nmad_bin_1': 0.13497310876846313, 'redshifts/nmad_bin_2': 0.0883321464061737, 'redshifts/nmad_bin_3': 0.06852461397647858, 'redshifts/nmad_bin_4': 0.0627492219209671, 'redshifts/nmad_bin_5': 0.035282012075185776, 'redshifts/outlier_fraction': 0.3250684440135956, 'redshifts/outlier_fraction_bin_0': 0.4893380105495453, 'redshifts/outlier_fraction_bin_1': 0.3560110330581665, 'redshifts/outlier_fraction_bin_2': 0.2583506405353546, 'redshifts/outlier_fraction_bin_3': 0.19020652770996094, 'redshifts/outlier_fraction_bin_4': 0.18140845000743866, 'redshifts/outlier_fraction_bin_5': 0.09184250235557556, 'redshifts/outlier_fraction_cata': 0.08795879781246185, 'redshifts/outlier_fraction_cata_bin_0': 0.13139189779758453, 'redshifts/outlier_fraction_cata_bin_1': 0.10019708424806595, 'redshifts/outlier_fraction_cata_bin_2': 0.07963766902685165, 'redshifts/outlier_fraction_cata_bin_3': 0.05396402254700661, 'redshifts/outlier_fraction_cata_bin_4': 0.052957747131586075, 'redshifts/outlier_fraction_cata_bin_5': 0.015825169160962105}\n", + "total num of pts: tensor([52291.])\n", + "total num of pts: tensor([18881., 12695., 5302., 3009., 1780., 10624.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 818/1563 [1:16:14<1:48:41, 8.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07559908926486969, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004263460636138916, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011506020091474056, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.30941951274871826, 'redshifts/mse_bin_0': 0.4365155100822449, 'redshifts/mse_bin_1': 0.36848244071006775, 'redshifts/mse_bin_2': 0.2886050045490265, 'redshifts/mse_bin_3': 0.2046368271112442, 'redshifts/mse_bin_4': 0.21125540137290955, 'redshifts/mse_bin_5': 0.06947927922010422, 'redshifts/nmad': 0.11187057942152023, 'redshifts/nmad_bin_0': 0.21339945495128632, 'redshifts/nmad_bin_1': 0.13498958945274353, 'redshifts/nmad_bin_2': 0.08832255750894547, 'redshifts/nmad_bin_3': 0.06870722025632858, 'redshifts/nmad_bin_4': 0.06270816177129745, 'redshifts/nmad_bin_5': 0.03527228534221649, 'redshifts/outlier_fraction': 0.3250654935836792, 'redshifts/outlier_fraction_bin_0': 0.4893808662891388, 'redshifts/outlier_fraction_bin_1': 0.3560456931591034, 'redshifts/outlier_fraction_bin_2': 0.2583930492401123, 'redshifts/outlier_fraction_bin_3': 0.18976403772830963, 'redshifts/outlier_fraction_bin_4': 0.18089887499809265, 'redshifts/outlier_fraction_bin_5': 0.09177334606647491, 'redshifts/outlier_fraction_cata': 0.08796925097703934, 'redshifts/outlier_fraction_cata_bin_0': 0.1314019411802292, 'redshifts/outlier_fraction_cata_bin_1': 0.10019692778587341, 'redshifts/outlier_fraction_cata_bin_2': 0.07978121191263199, 'redshifts/outlier_fraction_cata_bin_3': 0.05383848398923874, 'redshifts/outlier_fraction_cata_bin_4': 0.052808988839387894, 'redshifts/outlier_fraction_cata_bin_5': 0.015813253819942474}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 819/1563 [1:16:18<1:31:17, 7.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52345.])\n", + "total num of pts: tensor([18904., 12707., 5305., 3011., 1781., 10637.])\n", + "{'redshifts/bias_abs': 0.07560259848833084, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004251795820891857, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011487627401947975, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.30923372507095337, 'redshifts/mse_bin_0': 0.43628600239753723, 'redshifts/mse_bin_1': 0.36820459365844727, 'redshifts/mse_bin_2': 0.2884896397590637, 'redshifts/mse_bin_3': 0.204521045088768, 'redshifts/mse_bin_4': 0.21113693714141846, 'redshifts/mse_bin_5': 0.06940139085054398, 'redshifts/nmad': 0.11189078539609909, 'redshifts/nmad_bin_0': 0.21339945495128632, 'redshifts/nmad_bin_1': 0.13492530584335327, 'redshifts/nmad_bin_2': 0.08830411732196808, 'redshifts/nmad_bin_3': 0.06870722025632858, 'redshifts/nmad_bin_4': 0.06270816177129745, 'redshifts/nmad_bin_5': 0.03531257063150406, 'redshifts/outlier_fraction': 0.324921190738678, 'redshifts/outlier_fraction_bin_0': 0.4892086386680603, 'redshifts/outlier_fraction_bin_1': 0.35578814148902893, 'redshifts/outlier_fraction_bin_2': 0.2584354281425476, 'redshifts/outlier_fraction_bin_3': 0.18963798880577087, 'redshifts/outlier_fraction_bin_4': 0.18079730868339539, 'redshifts/outlier_fraction_bin_5': 0.09166118502616882, 'redshifts/outlier_fraction_cata': 0.08791670948266983, 'redshifts/outlier_fraction_cata_bin_0': 0.1313478648662567, 'redshifts/outlier_fraction_cata_bin_1': 0.10010230541229248, 'redshifts/outlier_fraction_cata_bin_2': 0.07973609864711761, 'redshifts/outlier_fraction_cata_bin_3': 0.0538027249276638, 'redshifts/outlier_fraction_cata_bin_4': 0.052779339253902435, 'redshifts/outlier_fraction_cata_bin_5': 0.015793927013874054}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 820/1563 [1:16:24<1:27:09, 7.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52399.])\n", + "total num of pts: tensor([18930., 12716., 5308., 3016., 1784., 10645.])\n", + "{'redshifts/bias_abs': 0.07561676949262619, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004263460636138916, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.011506020091474056, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -5.507469177246094e-05, 'redshifts/mse': 0.3092223107814789, 'redshifts/mse_bin_0': 0.43620607256889343, 'redshifts/mse_bin_1': 0.36819425225257874, 'redshifts/mse_bin_2': 0.28833258152008057, 'redshifts/mse_bin_3': 0.20513372123241425, 'redshifts/mse_bin_4': 0.21080738306045532, 'redshifts/mse_bin_5': 0.06936238706111908, 'redshifts/nmad': 0.11191339045763016, 'redshifts/nmad_bin_0': 0.21330177783966064, 'redshifts/nmad_bin_1': 0.13484200835227966, 'redshifts/nmad_bin_2': 0.08826279640197754, 'redshifts/nmad_bin_3': 0.06859266012907028, 'redshifts/nmad_bin_4': 0.06258244067430496, 'redshifts/nmad_bin_5': 0.03528330847620964, 'redshifts/outlier_fraction': 0.32487261295318604, 'redshifts/outlier_fraction_bin_0': 0.4890649616718292, 'redshifts/outlier_fraction_bin_1': 0.3558509051799774, 'redshifts/outlier_fraction_bin_2': 0.2582893669605255, 'redshifts/outlier_fraction_bin_3': 0.18965516984462738, 'redshifts/outlier_fraction_bin_4': 0.1804932802915573, 'redshifts/outlier_fraction_bin_5': 0.09159229695796967, 'redshifts/outlier_fraction_cata': 0.08795969188213348, 'redshifts/outlier_fraction_cata_bin_0': 0.13143159449100494, 'redshifts/outlier_fraction_cata_bin_1': 0.10011009871959686, 'redshifts/outlier_fraction_cata_bin_2': 0.07969103008508682, 'redshifts/outlier_fraction_cata_bin_3': 0.054045092314481735, 'redshifts/outlier_fraction_cata_bin_4': 0.05269058421254158, 'redshifts/outlier_fraction_cata_bin_5': 0.015782056376338005}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 821/1563 [1:16:29<1:21:11, 6.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52454.])\n", + "total num of pts: tensor([18952., 12733., 5313., 3021., 1784., 10651.])\n", + "{'redshifts/bias_abs': 0.07561676949262619, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.0419776476919651, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004276101943105459, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.011605432257056236, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.3092173933982849, 'redshifts/mse_bin_0': 0.4360710084438324, 'redshifts/mse_bin_1': 0.3683176040649414, 'redshifts/mse_bin_2': 0.28836849331855774, 'redshifts/mse_bin_3': 0.20480512082576752, 'redshifts/mse_bin_4': 0.21080738306045532, 'redshifts/mse_bin_5': 0.06934382021427155, 'redshifts/nmad': 0.11191674321889877, 'redshifts/nmad_bin_0': 0.21310366690158844, 'redshifts/nmad_bin_1': 0.13509996235370636, 'redshifts/nmad_bin_2': 0.08832245320081711, 'redshifts/nmad_bin_3': 0.06852549314498901, 'redshifts/nmad_bin_4': 0.06258244067430496, 'redshifts/nmad_bin_5': 0.03527575731277466, 'redshifts/outlier_fraction': 0.32485607266426086, 'redshifts/outlier_fraction_bin_0': 0.4888665974140167, 'redshifts/outlier_fraction_bin_1': 0.35600408911705017, 'redshifts/outlier_fraction_bin_2': 0.25823453068733215, 'redshifts/outlier_fraction_bin_3': 0.18934127688407898, 'redshifts/outlier_fraction_bin_4': 0.1804932802915573, 'redshifts/outlier_fraction_bin_5': 0.0916345864534378, 'redshifts/outlier_fraction_cata': 0.08798184990882874, 'redshifts/outlier_fraction_cata_bin_0': 0.13138455152511597, 'redshifts/outlier_fraction_cata_bin_1': 0.10021204501390457, 'redshifts/outlier_fraction_cata_bin_2': 0.07980425655841827, 'redshifts/outlier_fraction_cata_bin_3': 0.053955644369125366, 'redshifts/outlier_fraction_cata_bin_4': 0.05269058421254158, 'redshifts/outlier_fraction_cata_bin_5': 0.015773165971040726}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 822/1563 [1:16:35<1:17:26, 6.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52515.])\n", + "total num of pts: tensor([18971., 12750., 5320., 3027., 1787., 10660.])\n", + "{'redshifts/bias_abs': 0.07563052326440811, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.0462360680103302, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004281789064407349, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.011605432257056236, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.30921703577041626, 'redshifts/mse_bin_0': 0.4358972907066345, 'redshifts/mse_bin_1': 0.36812493205070496, 'redshifts/mse_bin_2': 0.28912410140037537, 'redshifts/mse_bin_3': 0.2052978277206421, 'redshifts/mse_bin_4': 0.21049806475639343, 'redshifts/mse_bin_5': 0.06939893960952759, 'redshifts/nmad': 0.1119476705789566, 'redshifts/nmad_bin_0': 0.21307407319545746, 'redshifts/nmad_bin_1': 0.134989395737648, 'redshifts/nmad_bin_2': 0.08835872262716293, 'redshifts/nmad_bin_3': 0.06853930652141571, 'redshifts/nmad_bin_4': 0.06270816177129745, 'redshifts/nmad_bin_5': 0.035279281437397, 'redshifts/outlier_fraction': 0.3248595595359802, 'redshifts/outlier_fraction_bin_0': 0.48879867792129517, 'redshifts/outlier_fraction_bin_1': 0.35592156648635864, 'redshifts/outlier_fraction_bin_2': 0.2586466073989868, 'redshifts/outlier_fraction_bin_3': 0.18929633498191833, 'redshifts/outlier_fraction_bin_4': 0.18019026517868042, 'redshifts/outlier_fraction_bin_5': 0.09174484014511108, 'redshifts/outlier_fraction_cata': 0.08797486126422882, 'redshifts/outlier_fraction_cata_bin_0': 0.13130567967891693, 'redshifts/outlier_fraction_cata_bin_1': 0.10015686601400375, 'redshifts/outlier_fraction_cata_bin_2': 0.08007518947124481, 'redshifts/outlier_fraction_cata_bin_3': 0.054179053753614426, 'redshifts/outlier_fraction_cata_bin_4': 0.0526021271944046, 'redshifts/outlier_fraction_cata_bin_5': 0.015759849920868874}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 823/1563 [1:16:39<1:10:24, 5.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52577.])\n", + "total num of pts: tensor([18992., 12765., 5323., 3031., 1788., 10678.])\n", + "{'redshifts/bias_abs': 0.07564620673656464, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09146305918693542, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004291702061891556, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.011537807062268257, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.3093757629394531, 'redshifts/mse_bin_0': 0.4363820254802704, 'redshifts/mse_bin_1': 0.36811918020248413, 'redshifts/mse_bin_2': 0.2889712452888489, 'redshifts/mse_bin_3': 0.20595049858093262, 'redshifts/mse_bin_4': 0.21044090390205383, 'redshifts/mse_bin_5': 0.06935180723667145, 'redshifts/nmad': 0.11196881532669067, 'redshifts/nmad_bin_0': 0.2132711261510849, 'redshifts/nmad_bin_1': 0.13501867651939392, 'redshifts/nmad_bin_2': 0.08835872262716293, 'redshifts/nmad_bin_3': 0.06876514106988907, 'redshifts/nmad_bin_4': 0.06270816177129745, 'redshifts/nmad_bin_5': 0.03529411554336548, 'redshifts/outlier_fraction': 0.32499000430107117, 'redshifts/outlier_fraction_bin_0': 0.4889427125453949, 'redshifts/outlier_fraction_bin_1': 0.3560517132282257, 'redshifts/outlier_fraction_bin_2': 0.25868871808052063, 'redshifts/outlier_fraction_bin_3': 0.18937644362449646, 'redshifts/outlier_fraction_bin_4': 0.1806487739086151, 'redshifts/outlier_fraction_bin_5': 0.09196478873491287, 'redshifts/outlier_fraction_cata': 0.08800426125526428, 'redshifts/outlier_fraction_cata_bin_0': 0.13142375648021698, 'redshifts/outlier_fraction_cata_bin_1': 0.1001175120472908, 'redshifts/outlier_fraction_cata_bin_2': 0.08003006130456924, 'redshifts/outlier_fraction_cata_bin_3': 0.05443748086690903, 'redshifts/outlier_fraction_cata_bin_4': 0.05257270857691765, 'redshifts/outlier_fraction_cata_bin_5': 0.015733283013105392}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 824/1563 [1:16:45<1:10:17, 5.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52631.])\n", + "total num of pts: tensor([19015., 12780., 5327., 3032., 1788., 10689.])\n", + "{'redshifts/bias_abs': 0.07566047459840775, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09146305918693542, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04625925421714783, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004293031524866819, 'redshifts/bias_bin_0': 0.028232475742697716, 'redshifts/bias_bin_1': 0.011521879583597183, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.3093932271003723, 'redshifts/mse_bin_0': 0.43663910031318665, 'redshifts/mse_bin_1': 0.36787837743759155, 'redshifts/mse_bin_2': 0.28878745436668396, 'redshifts/mse_bin_3': 0.2058863788843155, 'redshifts/mse_bin_4': 0.21044090390205383, 'redshifts/mse_bin_5': 0.06928659975528717, 'redshifts/nmad': 0.11198616772890091, 'redshifts/nmad_bin_0': 0.21340243518352509, 'redshifts/nmad_bin_1': 0.13499505817890167, 'redshifts/nmad_bin_2': 0.08838578313589096, 'redshifts/nmad_bin_3': 0.06876514106988907, 'redshifts/nmad_bin_4': 0.06270816177129745, 'redshifts/nmad_bin_5': 0.03527848795056343, 'redshifts/outlier_fraction': 0.3250935673713684, 'redshifts/outlier_fraction_bin_0': 0.4891401529312134, 'redshifts/outlier_fraction_bin_1': 0.3561033010482788, 'redshifts/outlier_fraction_bin_2': 0.2588699162006378, 'redshifts/outlier_fraction_bin_3': 0.18931397795677185, 'redshifts/outlier_fraction_bin_4': 0.1806487739086151, 'redshifts/outlier_fraction_bin_5': 0.09187014400959015, 'redshifts/outlier_fraction_cata': 0.08798997104167938, 'redshifts/outlier_fraction_cata_bin_0': 0.13147515058517456, 'redshifts/outlier_fraction_cata_bin_1': 0.10000000149011612, 'redshifts/outlier_fraction_cata_bin_2': 0.07996996492147446, 'redshifts/outlier_fraction_cata_bin_3': 0.05441952496767044, 'redshifts/outlier_fraction_cata_bin_4': 0.05257270857691765, 'redshifts/outlier_fraction_cata_bin_5': 0.015717092901468277}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 825/1563 [1:16:52<1:15:07, 6.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52704.])\n", + "total num of pts: tensor([19044., 12800., 5338., 3035., 1788., 10699.])\n", + "{'redshifts/bias_abs': 0.07571227848529816, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004303706344217062, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.011622367426753044, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.3100718557834625, 'redshifts/mse_bin_0': 0.4375787079334259, 'redshifts/mse_bin_1': 0.3687325417995453, 'redshifts/mse_bin_2': 0.28854483366012573, 'redshifts/mse_bin_3': 0.20571622252464294, 'redshifts/mse_bin_4': 0.21044090390205383, 'redshifts/mse_bin_5': 0.06992487609386444, 'redshifts/nmad': 0.11204604804515839, 'redshifts/nmad_bin_0': 0.21368592977523804, 'redshifts/nmad_bin_1': 0.1351620852947235, 'redshifts/nmad_bin_2': 0.08830545097589493, 'redshifts/nmad_bin_3': 0.0687868595123291, 'redshifts/nmad_bin_4': 0.06270816177129745, 'redshifts/nmad_bin_5': 0.035284534096717834, 'redshifts/outlier_fraction': 0.32528841495513916, 'redshifts/outlier_fraction_bin_0': 0.4894455075263977, 'redshifts/outlier_fraction_bin_1': 0.3561718761920929, 'redshifts/outlier_fraction_bin_2': 0.2590858042240143, 'redshifts/outlier_fraction_bin_3': 0.1891268491744995, 'redshifts/outlier_fraction_bin_4': 0.1806487739086151, 'redshifts/outlier_fraction_bin_5': 0.09197121113538742, 'redshifts/outlier_fraction_cata': 0.0881526991724968, 'redshifts/outlier_fraction_cata_bin_0': 0.1317475289106369, 'redshifts/outlier_fraction_cata_bin_1': 0.10023437440395355, 'redshifts/outlier_fraction_cata_bin_2': 0.0798051729798317, 'redshifts/outlier_fraction_cata_bin_3': 0.05436573177576065, 'redshifts/outlier_fraction_cata_bin_4': 0.05257270857691765, 'redshifts/outlier_fraction_cata_bin_5': 0.015795867890119553}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 826/1563 [1:16:59<1:16:32, 6.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52753.])\n", + "total num of pts: tensor([19064., 12813., 5341., 3035., 1788., 10712.])\n", + "{'redshifts/bias_abs': 0.07572242617607117, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.046271465718746185, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.004297513980418444, 'redshifts/bias_bin_0': 0.028058385476469994, 'redshifts/bias_bin_1': 0.011645552702248096, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.30999988317489624, 'redshifts/mse_bin_0': 0.43746209144592285, 'redshifts/mse_bin_1': 0.36851897835731506, 'redshifts/mse_bin_2': 0.28839510679244995, 'redshifts/mse_bin_3': 0.20571622252464294, 'redshifts/mse_bin_4': 0.21044090390205383, 'redshifts/mse_bin_5': 0.07009629160165787, 'redshifts/nmad': 0.11205057799816132, 'redshifts/nmad_bin_0': 0.2136448174715042, 'redshifts/nmad_bin_1': 0.1351594477891922, 'redshifts/nmad_bin_2': 0.08830545097589493, 'redshifts/nmad_bin_3': 0.0687868595123291, 'redshifts/nmad_bin_4': 0.06270816177129745, 'redshifts/nmad_bin_5': 0.03526018187403679, 'redshifts/outlier_fraction': 0.32530850172042847, 'redshifts/outlier_fraction_bin_0': 0.48945656418800354, 'redshifts/outlier_fraction_bin_1': 0.3561227023601532, 'redshifts/outlier_fraction_bin_2': 0.25912749767303467, 'redshifts/outlier_fraction_bin_3': 0.1891268491744995, 'redshifts/outlier_fraction_bin_4': 0.1806487739086151, 'redshifts/outlier_fraction_bin_5': 0.09204630553722382, 'redshifts/outlier_fraction_cata': 0.08812768757343292, 'redshifts/outlier_fraction_cata_bin_0': 0.13171422481536865, 'redshifts/outlier_fraction_cata_bin_1': 0.10013268142938614, 'redshifts/outlier_fraction_cata_bin_2': 0.07976034283638, 'redshifts/outlier_fraction_cata_bin_3': 0.05436573177576065, 'redshifts/outlier_fraction_cata_bin_4': 0.05257270857691765, 'redshifts/outlier_fraction_cata_bin_5': 0.015870051458477974}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 827/1563 [1:17:05<1:14:58, 6.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52805.])\n", + "total num of pts: tensor([19087., 12829., 5344., 3037., 1789., 10719.])\n", + "{'redshifts/bias_abs': 0.0756986141204834, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.0042977421544492245, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.31004446744918823, 'redshifts/mse_bin_0': 0.4376264810562134, 'redshifts/mse_bin_1': 0.368425190448761, 'redshifts/mse_bin_2': 0.2882539629936218, 'redshifts/mse_bin_3': 0.2057001292705536, 'redshifts/mse_bin_4': 0.210323303937912, 'redshifts/mse_bin_5': 0.0700603649020195, 'redshifts/nmad': 0.11203457415103912, 'redshifts/nmad_bin_0': 0.21370172500610352, 'redshifts/nmad_bin_1': 0.13479942083358765, 'redshifts/nmad_bin_2': 0.0882725715637207, 'redshifts/nmad_bin_3': 0.06883637607097626, 'redshifts/nmad_bin_4': 0.062473662197589874, 'redshifts/nmad_bin_5': 0.035282012075185776, 'redshifts/outlier_fraction': 0.3253290355205536, 'redshifts/outlier_fraction_bin_0': 0.4894430637359619, 'redshifts/outlier_fraction_bin_1': 0.35599032044410706, 'redshifts/outlier_fraction_bin_2': 0.25916916131973267, 'redshifts/outlier_fraction_bin_3': 0.18966084718704224, 'redshifts/outlier_fraction_bin_4': 0.1805477887392044, 'redshifts/outlier_fraction_bin_5': 0.09198619425296783, 'redshifts/outlier_fraction_cata': 0.08813559263944626, 'redshifts/outlier_fraction_cata_bin_0': 0.13176508247852325, 'redshifts/outlier_fraction_cata_bin_1': 0.10008574277162552, 'redshifts/outlier_fraction_cata_bin_2': 0.07971557229757309, 'redshifts/outlier_fraction_cata_bin_3': 0.05432993173599243, 'redshifts/outlier_fraction_cata_bin_4': 0.05254331976175308, 'redshifts/outlier_fraction_cata_bin_5': 0.015859687700867653}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 828/1563 [1:17:09<1:09:29, 5.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52854.])\n", + "total num of pts: tensor([19102., 12845., 5351., 3038., 1790., 10728.])\n", + "{'redshifts/bias_abs': 0.0757506713271141, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004291702061891556, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.011645552702248096, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.3100815713405609, 'redshifts/mse_bin_0': 0.4375486671924591, 'redshifts/mse_bin_1': 0.36877307295799255, 'redshifts/mse_bin_2': 0.28803521394729614, 'redshifts/mse_bin_3': 0.20564118027687073, 'redshifts/mse_bin_4': 0.21022158861160278, 'redshifts/mse_bin_5': 0.07007751613855362, 'redshifts/nmad': 0.11207383871078491, 'redshifts/nmad_bin_0': 0.21378353238105774, 'redshifts/nmad_bin_1': 0.13472633063793182, 'redshifts/nmad_bin_2': 0.08830545097589493, 'redshifts/nmad_bin_3': 0.06893892586231232, 'redshifts/nmad_bin_4': 0.06270816177129745, 'redshifts/nmad_bin_5': 0.03529411554336548, 'redshifts/outlier_fraction': 0.3253679871559143, 'redshifts/outlier_fraction_bin_0': 0.4894775450229645, 'redshifts/outlier_fraction_bin_1': 0.3559361696243286, 'redshifts/outlier_fraction_bin_2': 0.25939077138900757, 'redshifts/outlier_fraction_bin_3': 0.1895984262228012, 'redshifts/outlier_fraction_bin_4': 0.18044692277908325, 'redshifts/outlier_fraction_bin_5': 0.09209544956684113, 'redshifts/outlier_fraction_cata': 0.08811064809560776, 'redshifts/outlier_fraction_cata_bin_0': 0.13171395659446716, 'redshifts/outlier_fraction_cata_bin_1': 0.1001167744398117, 'redshifts/outlier_fraction_cata_bin_2': 0.07961128652095795, 'redshifts/outlier_fraction_cata_bin_3': 0.054312046617269516, 'redshifts/outlier_fraction_cata_bin_4': 0.0525139681994915, 'redshifts/outlier_fraction_cata_bin_5': 0.015846382826566696}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 829/1563 [1:17:16<1:14:05, 6.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52932.])\n", + "total num of pts: tensor([19132., 12866., 5358., 3041., 1794., 10741.])\n", + "{'redshifts/bias_abs': 0.0757695883512497, 'redshifts/bias_abs_bin_0': 0.14501963555812836, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004291702061891556, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.011645552702248096, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.31044071912765503, 'redshifts/mse_bin_0': 0.43796995282173157, 'redshifts/mse_bin_1': 0.36916202306747437, 'redshifts/mse_bin_2': 0.28787150979042053, 'redshifts/mse_bin_3': 0.2055870145559311, 'redshifts/mse_bin_4': 0.21371948719024658, 'redshifts/mse_bin_5': 0.07004490494728088, 'redshifts/nmad': 0.11209891736507416, 'redshifts/nmad_bin_0': 0.21384258568286896, 'redshifts/nmad_bin_1': 0.1347087323665619, 'redshifts/nmad_bin_2': 0.08835872262716293, 'redshifts/nmad_bin_3': 0.06883637607097626, 'redshifts/nmad_bin_4': 0.06270104646682739, 'redshifts/nmad_bin_5': 0.03528507798910141, 'redshifts/outlier_fraction': 0.32543641328811646, 'redshifts/outlier_fraction_bin_0': 0.4895985722541809, 'redshifts/outlier_fraction_bin_1': 0.35589927434921265, 'redshifts/outlier_fraction_bin_2': 0.25942516326904297, 'redshifts/outlier_fraction_bin_3': 0.18974021077156067, 'redshifts/outlier_fraction_bin_4': 0.18060201406478882, 'redshifts/outlier_fraction_bin_5': 0.0920770913362503, 'redshifts/outlier_fraction_cata': 0.08822640031576157, 'redshifts/outlier_fraction_cata_bin_0': 0.13187329471111298, 'redshifts/outlier_fraction_cata_bin_1': 0.10034198313951492, 'redshifts/outlier_fraction_cata_bin_2': 0.07950727641582489, 'redshifts/outlier_fraction_cata_bin_3': 0.05425846576690674, 'redshifts/outlier_fraction_cata_bin_4': 0.0529542937874794, 'redshifts/outlier_fraction_cata_bin_5': 0.015827205032110214}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 830/1563 [1:17:22<1:14:29, 6.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([52983.])\n", + "total num of pts: tensor([19154., 12877., 5361., 3044., 1796., 10751.])\n", + "{'redshifts/bias_abs': 0.0757506713271141, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.004291702061891556, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.011645552702248096, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.31031227111816406, 'redshifts/mse_bin_0': 0.4377138316631317, 'redshifts/mse_bin_1': 0.3689219355583191, 'redshifts/mse_bin_2': 0.28772109746932983, 'redshifts/mse_bin_3': 0.20541636645793915, 'redshifts/mse_bin_4': 0.21348945796489716, 'redshifts/mse_bin_5': 0.07027352601289749, 'redshifts/nmad': 0.11207017302513123, 'redshifts/nmad_bin_0': 0.21378929913043976, 'redshifts/nmad_bin_1': 0.13469403982162476, 'redshifts/nmad_bin_2': 0.08840003609657288, 'redshifts/nmad_bin_3': 0.06883637607097626, 'redshifts/nmad_bin_4': 0.06270104646682739, 'redshifts/nmad_bin_5': 0.03526018187403679, 'redshifts/outlier_fraction': 0.3254062533378601, 'redshifts/outlier_fraction_bin_0': 0.4895060956478119, 'redshifts/outlier_fraction_bin_1': 0.3559058904647827, 'redshifts/outlier_fraction_bin_2': 0.2592799961566925, 'redshifts/outlier_fraction_bin_3': 0.18988174200057983, 'redshifts/outlier_fraction_bin_4': 0.18040089309215546, 'redshifts/outlier_fraction_bin_5': 0.09208445996046066, 'redshifts/outlier_fraction_cata': 0.08819810301065445, 'redshifts/outlier_fraction_cata_bin_0': 0.131826251745224, 'redshifts/outlier_fraction_cata_bin_1': 0.10025627166032791, 'redshifts/outlier_fraction_cata_bin_2': 0.07946278899908066, 'redshifts/outlier_fraction_cata_bin_3': 0.054204992949962616, 'redshifts/outlier_fraction_cata_bin_4': 0.05289532244205475, 'redshifts/outlier_fraction_cata_bin_5': 0.01590549759566784}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 831/1563 [1:17:28<1:10:55, 5.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53044.])\n", + "total num of pts: tensor([19179., 12892., 5366., 3047., 1799., 10761.])\n", + "{'redshifts/bias_abs': 0.0757506713271141, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004293031524866819, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.011622367426753044, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.3102416396141052, 'redshifts/mse_bin_0': 0.4373924136161804, 'redshifts/mse_bin_1': 0.36862912774086, 'redshifts/mse_bin_2': 0.2874986231327057, 'redshifts/mse_bin_3': 0.20530734956264496, 'redshifts/mse_bin_4': 0.21314212679862976, 'redshifts/mse_bin_5': 0.0709608867764473, 'redshifts/nmad': 0.11206819862127304, 'redshifts/nmad_bin_0': 0.21367159485816956, 'redshifts/nmad_bin_1': 0.13462984561920166, 'redshifts/nmad_bin_2': 0.08837572485208511, 'redshifts/nmad_bin_3': 0.0689195841550827, 'redshifts/nmad_bin_4': 0.06271576881408691, 'redshifts/nmad_bin_5': 0.035284534096717834, 'redshifts/outlier_fraction': 0.3253713846206665, 'redshifts/outlier_fraction_bin_0': 0.489337295293808, 'redshifts/outlier_fraction_bin_1': 0.355802059173584, 'redshifts/outlier_fraction_bin_2': 0.2592247426509857, 'redshifts/outlier_fraction_bin_3': 0.19035115838050842, 'redshifts/outlier_fraction_bin_4': 0.18010005354881287, 'redshifts/outlier_fraction_bin_5': 0.09218474477529526, 'redshifts/outlier_fraction_cata': 0.08813437819480896, 'redshifts/outlier_fraction_cata_bin_0': 0.13170655071735382, 'redshifts/outlier_fraction_cata_bin_1': 0.10013961791992188, 'redshifts/outlier_fraction_cata_bin_2': 0.07938874512910843, 'redshifts/outlier_fraction_cata_bin_3': 0.05415162444114685, 'redshifts/outlier_fraction_cata_bin_4': 0.05280711501836777, 'redshifts/outlier_fraction_cata_bin_5': 0.015983644872903824}\n", + "total num of pts: tensor([53092.])\n", + "total num of pts: tensor([19199., 12901., 5373., 3050., 1802., 10767.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 832/1563 [1:17:33<1:09:57, 5.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0757695883512497, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04628913849592209, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004293031524866819, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.011537807062268257, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -5.507469177246094e-05, 'redshifts/mse': 0.310325562953949, 'redshifts/mse_bin_0': 0.43733352422714233, 'redshifts/mse_bin_1': 0.368478387594223, 'redshifts/mse_bin_2': 0.28776097297668457, 'redshifts/mse_bin_3': 0.205148383975029, 'redshifts/mse_bin_4': 0.21581600606441498, 'redshifts/mse_bin_5': 0.0710463598370552, 'redshifts/nmad': 0.11210697144269943, 'redshifts/nmad_bin_0': 0.21359817683696747, 'redshifts/nmad_bin_1': 0.13456940650939941, 'redshifts/nmad_bin_2': 0.08844004571437836, 'redshifts/nmad_bin_3': 0.06905097514390945, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03535808250308037, 'redshifts/outlier_fraction': 0.32549160718917847, 'redshifts/outlier_fraction_bin_0': 0.4892963171005249, 'redshifts/outlier_fraction_bin_1': 0.35586389899253845, 'redshifts/outlier_fraction_bin_2': 0.2594453692436218, 'redshifts/outlier_fraction_bin_3': 0.19049181044101715, 'redshifts/outlier_fraction_bin_4': 0.18091009557247162, 'redshifts/outlier_fraction_bin_5': 0.09241200238466263, 'redshifts/outlier_fraction_cata': 0.0881677120923996, 'redshifts/outlier_fraction_cata_bin_0': 0.13172560930252075, 'redshifts/outlier_fraction_cata_bin_1': 0.10006976127624512, 'redshifts/outlier_fraction_cata_bin_2': 0.07965754717588425, 'redshifts/outlier_fraction_cata_bin_3': 0.05409836024045944, 'redshifts/outlier_fraction_cata_bin_4': 0.053274139761924744, 'redshifts/outlier_fraction_cata_bin_5': 0.0159747377038002}\n", + "total num of pts: tensor([53141.])\n", + "total num of pts: tensor([19214., 12917., 5376., 3053., 1803., 10778.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 833/1563 [1:17:38<1:06:45, 5.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07577624171972275, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.046340830624103546, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.0043115755543112755, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.011644559912383556, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.3103611171245575, 'redshifts/mse_bin_0': 0.4371996223926544, 'redshifts/mse_bin_1': 0.3682614266872406, 'redshifts/mse_bin_2': 0.287885844707489, 'redshifts/mse_bin_3': 0.20501942932605743, 'redshifts/mse_bin_4': 0.21569694578647614, 'redshifts/mse_bin_5': 0.07173987478017807, 'redshifts/nmad': 0.11208543926477432, 'redshifts/nmad_bin_0': 0.21359817683696747, 'redshifts/nmad_bin_1': 0.13460548222064972, 'redshifts/nmad_bin_2': 0.08841454237699509, 'redshifts/nmad_bin_3': 0.06906221061944962, 'redshifts/nmad_bin_4': 0.06271576881408691, 'redshifts/nmad_bin_5': 0.03533446043729782, 'redshifts/outlier_fraction': 0.3254925608634949, 'redshifts/outlier_fraction_bin_0': 0.4893307089805603, 'redshifts/outlier_fraction_bin_1': 0.35581016540527344, 'redshifts/outlier_fraction_bin_2': 0.2594866156578064, 'redshifts/outlier_fraction_bin_3': 0.190632164478302, 'redshifts/outlier_fraction_bin_4': 0.18080976605415344, 'redshifts/outlier_fraction_bin_5': 0.09241046756505966, 'redshifts/outlier_fraction_cata': 0.08816168457269669, 'redshifts/outlier_fraction_cata_bin_0': 0.13167482614517212, 'redshifts/outlier_fraction_cata_bin_1': 0.10002322494983673, 'redshifts/outlier_fraction_cata_bin_2': 0.0797991082072258, 'redshifts/outlier_fraction_cata_bin_3': 0.05404520034790039, 'redshifts/outlier_fraction_cata_bin_4': 0.053244590759277344, 'redshifts/outlier_fraction_cata_bin_5': 0.016051216050982475}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 834/1563 [1:17:45<1:11:57, 5.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53199.])\n", + "total num of pts: tensor([19234., 12934., 5384., 3056., 1803., 10788.])\n", + "{'redshifts/bias_abs': 0.07572967559099197, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.046356361359357834, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004314229357987642, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.3104701340198517, 'redshifts/mse_bin_0': 0.43723064661026, 'redshifts/mse_bin_1': 0.3679015636444092, 'redshifts/mse_bin_2': 0.2874818742275238, 'redshifts/mse_bin_3': 0.2089550495147705, 'redshifts/mse_bin_4': 0.21569694578647614, 'redshifts/mse_bin_5': 0.07168145477771759, 'redshifts/nmad': 0.11205901950597763, 'redshifts/nmad_bin_0': 0.21358278393745422, 'redshifts/nmad_bin_1': 0.1345047652721405, 'redshifts/nmad_bin_2': 0.0883776918053627, 'redshifts/nmad_bin_3': 0.06917702406644821, 'redshifts/nmad_bin_4': 0.06271576881408691, 'redshifts/nmad_bin_5': 0.03529937192797661, 'redshifts/outlier_fraction': 0.3254384398460388, 'redshifts/outlier_fraction_bin_0': 0.48923781514167786, 'redshifts/outlier_fraction_bin_1': 0.35565176606178284, 'redshifts/outlier_fraction_bin_2': 0.2592867612838745, 'redshifts/outlier_fraction_bin_3': 0.19142669439315796, 'redshifts/outlier_fraction_bin_4': 0.18080976605415344, 'redshifts/outlier_fraction_bin_5': 0.09232480823993683, 'redshifts/outlier_fraction_cata': 0.088178351521492, 'redshifts/outlier_fraction_cata_bin_0': 0.1317458599805832, 'redshifts/outlier_fraction_cata_bin_1': 0.09989175945520401, 'redshifts/outlier_fraction_cata_bin_2': 0.07968053221702576, 'redshifts/outlier_fraction_cata_bin_3': 0.05464659631252289, 'redshifts/outlier_fraction_cata_bin_4': 0.053244590759277344, 'redshifts/outlier_fraction_cata_bin_5': 0.01603633724153042}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 835/1563 [1:17:51<1:11:49, 5.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53243.])\n", + "total num of pts: tensor([19251., 12943., 5387., 3059., 1805., 10798.])\n", + "{'redshifts/bias_abs': 0.07572697848081589, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04636476933956146, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004303706344217062, 'redshifts/bias_bin_0': 0.02815573289990425, 'redshifts/bias_bin_1': 0.011645552702248096, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.3104645907878876, 'redshifts/mse_bin_0': 0.43714267015457153, 'redshifts/mse_bin_1': 0.3678186535835266, 'redshifts/mse_bin_2': 0.2873251438140869, 'redshifts/mse_bin_3': 0.20992563664913177, 'redshifts/mse_bin_4': 0.21545861661434174, 'redshifts/mse_bin_5': 0.0717792809009552, 'redshifts/nmad': 0.11205236613750458, 'redshifts/nmad_bin_0': 0.21374087035655975, 'redshifts/nmad_bin_1': 0.1344965100288391, 'redshifts/nmad_bin_2': 0.08831139653921127, 'redshifts/nmad_bin_3': 0.06917702406644821, 'redshifts/nmad_bin_4': 0.06270816177129745, 'redshifts/nmad_bin_5': 0.03533446043729782, 'redshifts/outlier_fraction': 0.3254324495792389, 'redshifts/outlier_fraction_bin_0': 0.48922133445739746, 'redshifts/outlier_fraction_bin_1': 0.35571351647377014, 'redshifts/outlier_fraction_bin_2': 0.25914236903190613, 'redshifts/outlier_fraction_bin_3': 0.1915658712387085, 'redshifts/outlier_fraction_bin_4': 0.18060941994190216, 'redshifts/outlier_fraction_bin_5': 0.0923319160938263, 'redshifts/outlier_fraction_cata': 0.08818060904741287, 'redshifts/outlier_fraction_cata_bin_0': 0.13168147206306458, 'redshifts/outlier_fraction_cata_bin_1': 0.09989956021308899, 'redshifts/outlier_fraction_cata_bin_2': 0.07963616400957108, 'redshifts/outlier_fraction_cata_bin_3': 0.05491990968585014, 'redshifts/outlier_fraction_cata_bin_4': 0.0531855970621109, 'redshifts/outlier_fraction_cata_bin_5': 0.016114095225930214}\n", + "total num of pts: tensor([53306.])\n", + "total num of pts: tensor([19273., 12956., 5402., 3061., 1806., 10808.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 53%|█████▎ | 836/1563 [1:17:57<1:13:03, 6.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07577847689390182, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09113053977489471, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04641568288207054, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004297513980418444, 'redshifts/bias_bin_0': 0.02815573289990425, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.3106788396835327, 'redshifts/mse_bin_0': 0.4371625483036041, 'redshifts/mse_bin_1': 0.36790895462036133, 'redshifts/mse_bin_2': 0.2889859974384308, 'redshifts/mse_bin_3': 0.210001140832901, 'redshifts/mse_bin_4': 0.21535876393318176, 'redshifts/mse_bin_5': 0.07181127369403839, 'redshifts/nmad': 0.1121184229850769, 'redshifts/nmad_bin_0': 0.21375367045402527, 'redshifts/nmad_bin_1': 0.13458041846752167, 'redshifts/nmad_bin_2': 0.08838103711605072, 'redshifts/nmad_bin_3': 0.06923046708106995, 'redshifts/nmad_bin_4': 0.06269773840904236, 'redshifts/nmad_bin_5': 0.03532398119568825, 'redshifts/outlier_fraction': 0.32551681995391846, 'redshifts/outlier_fraction_bin_0': 0.48928552865982056, 'redshifts/outlier_fraction_bin_1': 0.3558197021484375, 'redshifts/outlier_fraction_bin_2': 0.2591632604598999, 'redshifts/outlier_fraction_bin_3': 0.1917673945426941, 'redshifts/outlier_fraction_bin_4': 0.18050941824913025, 'redshifts/outlier_fraction_bin_5': 0.09243153035640717, 'redshifts/outlier_fraction_cata': 0.08818894624710083, 'redshifts/outlier_fraction_cata_bin_0': 0.13168682157993317, 'redshifts/outlier_fraction_cata_bin_1': 0.0998765081167221, 'redshifts/outlier_fraction_cata_bin_2': 0.07978526502847672, 'redshifts/outlier_fraction_cata_bin_3': 0.05488402396440506, 'redshifts/outlier_fraction_cata_bin_4': 0.05315614491701126, 'redshifts/outlier_fraction_cata_bin_5': 0.01609918661415577}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▎ | 837/1563 [1:18:03<1:13:51, 6.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53366.])\n", + "total num of pts: tensor([19301., 12966., 5405., 3062., 1807., 10825.])\n", + "{'redshifts/bias_abs': 0.07579629868268967, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04641568288207054, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004284476395696402, 'redshifts/bias_bin_0': 0.02815573289990425, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.3106652796268463, 'redshifts/mse_bin_0': 0.4371147155761719, 'redshifts/mse_bin_1': 0.3677554726600647, 'redshifts/mse_bin_2': 0.28966161608695984, 'redshifts/mse_bin_3': 0.2099386304616928, 'redshifts/mse_bin_4': 0.21524855494499207, 'redshifts/mse_bin_5': 0.07173146307468414, 'redshifts/nmad': 0.11216504871845245, 'redshifts/nmad_bin_0': 0.21375367045402527, 'redshifts/nmad_bin_1': 0.1345047652721405, 'redshifts/nmad_bin_2': 0.08847153931856155, 'redshifts/nmad_bin_3': 0.06923046708106995, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03534933552145958, 'redshifts/outlier_fraction': 0.3255443572998047, 'redshifts/outlier_fraction_bin_0': 0.48930108547210693, 'redshifts/outlier_fraction_bin_1': 0.3556995093822479, 'redshifts/outlier_fraction_bin_2': 0.2592044472694397, 'redshifts/outlier_fraction_bin_3': 0.19170476496219635, 'redshifts/outlier_fraction_bin_4': 0.1804095208644867, 'redshifts/outlier_fraction_bin_5': 0.09265588968992233, 'redshifts/outlier_fraction_cata': 0.08820222318172455, 'redshifts/outlier_fraction_cata_bin_0': 0.13170301914215088, 'redshifts/outlier_fraction_cata_bin_1': 0.09987659752368927, 'redshifts/outlier_fraction_cata_bin_2': 0.07992599159479141, 'redshifts/outlier_fraction_cata_bin_3': 0.05486610159277916, 'redshifts/outlier_fraction_cata_bin_4': 0.053126730024814606, 'redshifts/outlier_fraction_cata_bin_5': 0.01607390306890011}\n", + "total num of pts: tensor([53426.])\n", + "total num of pts: tensor([19321., 12976., 5410., 3068., 1810., 10841.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▎ | 838/1563 [1:18:11<1:18:26, 6.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07580576092004776, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04641638696193695, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004293031524866819, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.3106696605682373, 'redshifts/mse_bin_0': 0.4371703565120697, 'redshifts/mse_bin_1': 0.36790186166763306, 'redshifts/mse_bin_2': 0.28951966762542725, 'redshifts/mse_bin_3': 0.20975010097026825, 'redshifts/mse_bin_4': 0.21590061485767365, 'redshifts/mse_bin_5': 0.0716526135802269, 'redshifts/nmad': 0.11220281571149826, 'redshifts/nmad_bin_0': 0.21372489631175995, 'redshifts/nmad_bin_1': 0.13451717793941498, 'redshifts/nmad_bin_2': 0.08848419040441513, 'redshifts/nmad_bin_3': 0.06937956809997559, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03539131209254265, 'redshifts/outlier_fraction': 0.3255343735218048, 'redshifts/outlier_fraction_bin_0': 0.48931214213371277, 'redshifts/outlier_fraction_bin_1': 0.3557336628437042, 'redshifts/outlier_fraction_bin_2': 0.2593345642089844, 'redshifts/outlier_fraction_bin_3': 0.19165579974651337, 'redshifts/outlier_fraction_bin_4': 0.18066298961639404, 'redshifts/outlier_fraction_bin_5': 0.09261137992143631, 'redshifts/outlier_fraction_cata': 0.08817803859710693, 'redshifts/outlier_fraction_cata_bin_0': 0.13167020678520203, 'redshifts/outlier_fraction_cata_bin_1': 0.09987669438123703, 'redshifts/outlier_fraction_cata_bin_2': 0.07985212653875351, 'redshifts/outlier_fraction_cata_bin_3': 0.05475880205631256, 'redshifts/outlier_fraction_cata_bin_4': 0.05359116196632385, 'redshifts/outlier_fraction_cata_bin_5': 0.016050180420279503}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▎ | 839/1563 [1:18:16<1:12:09, 5.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53487.])\n", + "total num of pts: tensor([19341., 12985., 5418., 3073., 1810., 10860.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09106077253818512, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004284476395696402, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.011673503555357456, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.3105778396129608, 'redshifts/mse_bin_0': 0.4372306764125824, 'redshifts/mse_bin_1': 0.36771202087402344, 'redshifts/mse_bin_2': 0.2895265519618988, 'redshifts/mse_bin_3': 0.2095288634300232, 'redshifts/mse_bin_4': 0.21590061485767365, 'redshifts/mse_bin_5': 0.07157878577709198, 'redshifts/nmad': 0.11216099560260773, 'redshifts/nmad_bin_0': 0.21382175385951996, 'redshifts/nmad_bin_1': 0.1345047652721405, 'redshifts/nmad_bin_2': 0.08849239349365234, 'redshifts/nmad_bin_3': 0.06942498683929443, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03534412011504173, 'redshifts/outlier_fraction': 0.32551833987236023, 'redshifts/outlier_fraction_bin_0': 0.48947831988334656, 'redshifts/outlier_fraction_bin_1': 0.3555641174316406, 'redshifts/outlier_fraction_bin_2': 0.25932079553604126, 'redshifts/outlier_fraction_bin_3': 0.19166937470436096, 'redshifts/outlier_fraction_bin_4': 0.18066298961639404, 'redshifts/outlier_fraction_bin_5': 0.09263351559638977, 'redshifts/outlier_fraction_cata': 0.0881335660815239, 'redshifts/outlier_fraction_cata_bin_0': 0.13163745403289795, 'redshifts/outlier_fraction_cata_bin_1': 0.09980747103691101, 'redshifts/outlier_fraction_cata_bin_2': 0.07991878688335419, 'redshifts/outlier_fraction_cata_bin_3': 0.05466970428824425, 'redshifts/outlier_fraction_cata_bin_4': 0.05359116196632385, 'redshifts/outlier_fraction_cata_bin_5': 0.016022099182009697}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▎ | 840/1563 [1:18:21<1:09:04, 5.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53554.])\n", + "total num of pts: tensor([19364., 13000., 5429., 3075., 1811., 10875.])\n", + "{'redshifts/bias_abs': 0.07579158991575241, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004281789064407349, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.011644559912383556, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -5.507469177246094e-05, 'redshifts/mse': 0.3104304373264313, 'redshifts/mse_bin_0': 0.4370289146900177, 'redshifts/mse_bin_1': 0.36754631996154785, 'redshifts/mse_bin_2': 0.2894990146160126, 'redshifts/mse_bin_3': 0.20939838886260986, 'redshifts/mse_bin_4': 0.2157842218875885, 'redshifts/mse_bin_5': 0.07151199132204056, 'redshifts/nmad': 0.11213625967502594, 'redshifts/nmad_bin_0': 0.21371957659721375, 'redshifts/nmad_bin_1': 0.1344938725233078, 'redshifts/nmad_bin_2': 0.08851902931928635, 'redshifts/nmad_bin_3': 0.06942642480134964, 'redshifts/nmad_bin_4': 0.062738798558712, 'redshifts/nmad_bin_5': 0.035370420664548874, 'redshifts/outlier_fraction': 0.32554057240486145, 'redshifts/outlier_fraction_bin_0': 0.48946499824523926, 'redshifts/outlier_fraction_bin_1': 0.35561537742614746, 'redshifts/outlier_fraction_bin_2': 0.2595321536064148, 'redshifts/outlier_fraction_bin_3': 0.19154471158981323, 'redshifts/outlier_fraction_bin_4': 0.18056322634220123, 'redshifts/outlier_fraction_bin_5': 0.09268965572118759, 'redshifts/outlier_fraction_cata': 0.08813533931970596, 'redshifts/outlier_fraction_cata_bin_0': 0.13163602352142334, 'redshifts/outlier_fraction_cata_bin_1': 0.09984615445137024, 'redshifts/outlier_fraction_cata_bin_2': 0.07994105666875839, 'redshifts/outlier_fraction_cata_bin_3': 0.05463414639234543, 'redshifts/outlier_fraction_cata_bin_4': 0.05356156826019287, 'redshifts/outlier_fraction_cata_bin_5': 0.01600000075995922}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 841/1563 [1:18:27<1:12:21, 6.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53596.])\n", + "total num of pts: tensor([19381., 13008., 5433., 3078., 1813., 10883.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004291702061891556, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.011644559912383556, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -7.62641429901123e-05, 'redshifts/mse': 0.31036731600761414, 'redshifts/mse_bin_0': 0.4369506239891052, 'redshifts/mse_bin_1': 0.36745622754096985, 'redshifts/mse_bin_2': 0.28942373394966125, 'redshifts/mse_bin_3': 0.2095707654953003, 'redshifts/mse_bin_4': 0.2155521661043167, 'redshifts/mse_bin_5': 0.07146488130092621, 'redshifts/nmad': 0.11215028166770935, 'redshifts/nmad_bin_0': 0.2137375771999359, 'redshifts/nmad_bin_1': 0.1344742774963379, 'redshifts/nmad_bin_2': 0.08852126449346542, 'redshifts/nmad_bin_3': 0.06943879276514053, 'redshifts/nmad_bin_4': 0.0627492219209671, 'redshifts/nmad_bin_5': 0.03535708785057068, 'redshifts/outlier_fraction': 0.3255466818809509, 'redshifts/outlier_fraction_bin_0': 0.4895000159740448, 'redshifts/outlier_fraction_bin_1': 0.35562729835510254, 'redshifts/outlier_fraction_bin_2': 0.2595251202583313, 'redshifts/outlier_fraction_bin_3': 0.19168290495872498, 'redshifts/outlier_fraction_bin_4': 0.18036404252052307, 'redshifts/outlier_fraction_bin_5': 0.09262152016162872, 'redshifts/outlier_fraction_cata': 0.08812224864959717, 'redshifts/outlier_fraction_cata_bin_0': 0.1316237598657608, 'redshifts/outlier_fraction_cata_bin_1': 0.0997847467660904, 'redshifts/outlier_fraction_cata_bin_2': 0.07988220453262329, 'redshifts/outlier_fraction_cata_bin_3': 0.054905783385038376, 'redshifts/outlier_fraction_cata_bin_4': 0.05350248143076897, 'redshifts/outlier_fraction_cata_bin_5': 0.015988238155841827}\n", + "total num of pts: tensor([53647.])\n", + "total num of pts: tensor([19403., 13020., 5441., 3080., 1814., 10889.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 842/1563 [1:18:35<1:16:33, 6.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07580768316984177, 'redshifts/bias_abs_bin_0': 0.14501963555812836, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004309420939534903, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.011605432257056236, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.3105580508708954, 'redshifts/mse_bin_0': 0.43730857968330383, 'redshifts/mse_bin_1': 0.36733877658843994, 'redshifts/mse_bin_2': 0.28961703181266785, 'redshifts/mse_bin_3': 0.21048232913017273, 'redshifts/mse_bin_4': 0.21543334424495697, 'redshifts/mse_bin_5': 0.07142821699380875, 'redshifts/nmad': 0.11217723041772842, 'redshifts/nmad_bin_0': 0.21375179290771484, 'redshifts/nmad_bin_1': 0.13448043167591095, 'redshifts/nmad_bin_2': 0.08862081170082092, 'redshifts/nmad_bin_3': 0.06954097002744675, 'redshifts/nmad_bin_4': 0.06271576881408691, 'redshifts/nmad_bin_5': 0.03537508845329285, 'redshifts/outlier_fraction': 0.3256472945213318, 'redshifts/outlier_fraction_bin_0': 0.4895634651184082, 'redshifts/outlier_fraction_bin_1': 0.3558371663093567, 'redshifts/outlier_fraction_bin_2': 0.2595111131668091, 'redshifts/outlier_fraction_bin_3': 0.1918831169605255, 'redshifts/outlier_fraction_bin_4': 0.18026460707187653, 'redshifts/outlier_fraction_bin_5': 0.0925704836845398, 'redshifts/outlier_fraction_cata': 0.08820623904466629, 'redshifts/outlier_fraction_cata_bin_0': 0.13178373873233795, 'redshifts/outlier_fraction_cata_bin_1': 0.09969277679920197, 'redshifts/outlier_fraction_cata_bin_2': 0.08013232797384262, 'redshifts/outlier_fraction_cata_bin_3': 0.055194806307554245, 'redshifts/outlier_fraction_cata_bin_4': 0.053472988307476044, 'redshifts/outlier_fraction_cata_bin_5': 0.015979429706931114}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 843/1563 [1:18:42<1:20:36, 6.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53703.])\n", + "total num of pts: tensor([19431., 13030., 5449., 3085., 1814., 10894.])\n", + "{'redshifts/bias_abs': 0.075815349817276, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.04648275300860405, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004309420939534903, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.011622367426753044, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -9.233893797500059e-05, 'redshifts/mse': 0.3107759654521942, 'redshifts/mse_bin_0': 0.4377436935901642, 'redshifts/mse_bin_1': 0.3676581084728241, 'redshifts/mse_bin_2': 0.28919878602027893, 'redshifts/mse_bin_3': 0.2103031724691391, 'redshifts/mse_bin_4': 0.21543334424495697, 'redshifts/mse_bin_5': 0.07139775156974792, 'redshifts/nmad': 0.11224358528852463, 'redshifts/nmad_bin_0': 0.21387848258018494, 'redshifts/nmad_bin_1': 0.13453853130340576, 'redshifts/nmad_bin_2': 0.08857665956020355, 'redshifts/nmad_bin_3': 0.06957478076219559, 'redshifts/nmad_bin_4': 0.06271576881408691, 'redshifts/nmad_bin_5': 0.035366762429475784, 'redshifts/outlier_fraction': 0.32582908868789673, 'redshifts/outlier_fraction_bin_0': 0.4897843599319458, 'redshifts/outlier_fraction_bin_1': 0.35617804527282715, 'redshifts/outlier_fraction_bin_2': 0.2591301202774048, 'redshifts/outlier_fraction_bin_3': 0.19222041964530945, 'redshifts/outlier_fraction_bin_4': 0.18026460707187653, 'redshifts/outlier_fraction_bin_5': 0.09252800047397614, 'redshifts/outlier_fraction_cata': 0.08824460208415985, 'redshifts/outlier_fraction_cata_bin_0': 0.1318511664867401, 'redshifts/outlier_fraction_cata_bin_1': 0.09976976364850998, 'redshifts/outlier_fraction_cata_bin_2': 0.0800146833062172, 'redshifts/outlier_fraction_cata_bin_3': 0.05510534718632698, 'redshifts/outlier_fraction_cata_bin_4': 0.053472988307476044, 'redshifts/outlier_fraction_cata_bin_5': 0.015972094610333443}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 844/1563 [1:18:46<1:11:29, 5.97s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53765.])\n", + "total num of pts: tensor([19454., 13038., 5460., 3089., 1815., 10909.])\n", + "{'redshifts/bias_abs': 0.07581369578838348, 'redshifts/bias_abs_bin_0': 0.14517082273960114, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.046445511281490326, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.0043115755543112755, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.011644559912383556, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.3107437789440155, 'redshifts/mse_bin_0': 0.43787825107574463, 'redshifts/mse_bin_1': 0.3675251603126526, 'redshifts/mse_bin_2': 0.289252907037735, 'redshifts/mse_bin_3': 0.21006803214550018, 'redshifts/mse_bin_4': 0.21531473100185394, 'redshifts/mse_bin_5': 0.07130448520183563, 'redshifts/nmad': 0.1122433990240097, 'redshifts/nmad_bin_0': 0.21391619741916656, 'redshifts/nmad_bin_1': 0.13462984561920166, 'redshifts/nmad_bin_2': 0.08851629495620728, 'redshifts/nmad_bin_3': 0.06955477595329285, 'redshifts/nmad_bin_4': 0.06271576881408691, 'redshifts/nmad_bin_5': 0.03534756973385811, 'redshifts/outlier_fraction': 0.32588115334510803, 'redshifts/outlier_fraction_bin_0': 0.48992493748664856, 'redshifts/outlier_fraction_bin_1': 0.35634300112724304, 'redshifts/outlier_fraction_bin_2': 0.2591575086116791, 'redshifts/outlier_fraction_bin_3': 0.19229523837566376, 'redshifts/outlier_fraction_bin_4': 0.18016529083251953, 'redshifts/outlier_fraction_bin_5': 0.09240076690912247, 'redshifts/outlier_fraction_cata': 0.08825444430112839, 'redshifts/outlier_fraction_cata_bin_0': 0.13195230066776276, 'redshifts/outlier_fraction_cata_bin_1': 0.09970854222774506, 'redshifts/outlier_fraction_cata_bin_2': 0.08003663271665573, 'redshifts/outlier_fraction_cata_bin_3': 0.05503399297595024, 'redshifts/outlier_fraction_cata_bin_4': 0.05344352498650551, 'redshifts/outlier_fraction_cata_bin_5': 0.01595013216137886}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 845/1563 [1:18:51<1:07:29, 5.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53810.])\n", + "total num of pts: tensor([19474., 13044., 5466., 3092., 1817., 10917.])\n", + "{'redshifts/bias_abs': 0.07580768316984177, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.046428415924310684, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004314229357987642, 'redshifts/bias_bin_0': 0.02831745706498623, 'redshifts/bias_bin_1': 0.011537807062268257, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -7.62641429901123e-05, 'redshifts/mse': 0.3106435239315033, 'redshifts/mse_bin_0': 0.4377078115940094, 'redshifts/mse_bin_1': 0.36739781498908997, 'redshifts/mse_bin_2': 0.2893402576446533, 'redshifts/mse_bin_3': 0.2098659723997116, 'redshifts/mse_bin_4': 0.21512430906295776, 'redshifts/mse_bin_5': 0.07127981632947922, 'redshifts/nmad': 0.11220996081829071, 'redshifts/nmad_bin_0': 0.213835209608078, 'redshifts/nmad_bin_1': 0.13454897701740265, 'redshifts/nmad_bin_2': 0.08851902931928635, 'redshifts/nmad_bin_3': 0.06930287927389145, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03537293151021004, 'redshifts/outlier_fraction': 0.325905978679657, 'redshifts/outlier_fraction_bin_0': 0.4899353086948395, 'redshifts/outlier_fraction_bin_1': 0.3563324213027954, 'redshifts/outlier_fraction_bin_2': 0.25923892855644226, 'redshifts/outlier_fraction_bin_3': 0.1921086609363556, 'redshifts/outlier_fraction_bin_4': 0.18051733076572418, 'redshifts/outlier_fraction_bin_5': 0.0924246609210968, 'redshifts/outlier_fraction_cata': 0.08825497329235077, 'redshifts/outlier_fraction_cata_bin_0': 0.1319708377122879, 'redshifts/outlier_fraction_cata_bin_1': 0.0996626764535904, 'redshifts/outlier_fraction_cata_bin_2': 0.08013172447681427, 'redshifts/outlier_fraction_cata_bin_3': 0.05498059466481209, 'redshifts/outlier_fraction_cata_bin_4': 0.053384698927402496, 'redshifts/outlier_fraction_cata_bin_5': 0.015938444063067436}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 846/1563 [1:18:57<1:08:19, 5.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53875.])\n", + "total num of pts: tensor([19494., 13061., 5473., 3100., 1817., 10930.])\n", + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14515411853790283, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.046440333127975464, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004297513980418444, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.011521879583597183, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.3106800615787506, 'redshifts/mse_bin_0': 0.4374794065952301, 'redshifts/mse_bin_1': 0.36732912063598633, 'redshifts/mse_bin_2': 0.28912556171417236, 'redshifts/mse_bin_3': 0.21301224827766418, 'redshifts/mse_bin_4': 0.21512430906295776, 'redshifts/mse_bin_5': 0.07121575623750687, 'redshifts/nmad': 0.1121658906340599, 'redshifts/nmad_bin_0': 0.2137976735830307, 'redshifts/nmad_bin_1': 0.1345255970954895, 'redshifts/nmad_bin_2': 0.0885147750377655, 'redshifts/nmad_bin_3': 0.06941160559654236, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03538438305258751, 'redshifts/outlier_fraction': 0.3259025514125824, 'redshifts/outlier_fraction_bin_0': 0.4898430407047272, 'redshifts/outlier_fraction_bin_1': 0.35625144839286804, 'redshifts/outlier_fraction_bin_2': 0.25945550203323364, 'redshifts/outlier_fraction_bin_3': 0.19290322065353394, 'redshifts/outlier_fraction_bin_4': 0.18051733076572418, 'redshifts/outlier_fraction_bin_5': 0.09240622073411942, 'redshifts/outlier_fraction_cata': 0.08820417523384094, 'redshifts/outlier_fraction_cata_bin_0': 0.1318354308605194, 'redshifts/outlier_fraction_cata_bin_1': 0.09960952401161194, 'redshifts/outlier_fraction_cata_bin_2': 0.08002923429012299, 'redshifts/outlier_fraction_cata_bin_3': 0.0554838702082634, 'redshifts/outlier_fraction_cata_bin_4': 0.053384698927402496, 'redshifts/outlier_fraction_cata_bin_5': 0.015919487923383713}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 847/1563 [1:19:02<1:04:36, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53935.])\n", + "total num of pts: tensor([19525., 13073., 5475., 3105., 1817., 10940.])\n", + "{'redshifts/bias_abs': 0.07582245022058487, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.04656772315502167, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004291702061891556, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.011521879583597183, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.31068238615989685, 'redshifts/mse_bin_0': 0.43728458881378174, 'redshifts/mse_bin_1': 0.3675132095813751, 'redshifts/mse_bin_2': 0.2891608774662018, 'redshifts/mse_bin_3': 0.21303842961788177, 'redshifts/mse_bin_4': 0.21512430906295776, 'redshifts/mse_bin_5': 0.07117611169815063, 'redshifts/nmad': 0.11226986348628998, 'redshifts/nmad_bin_0': 0.21384921669960022, 'redshifts/nmad_bin_1': 0.13457463681697845, 'redshifts/nmad_bin_2': 0.08855744451284409, 'redshifts/nmad_bin_3': 0.06957478076219559, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03537454456090927, 'redshifts/outlier_fraction': 0.32609623670578003, 'redshifts/outlier_fraction_bin_0': 0.4899359941482544, 'redshifts/outlier_fraction_bin_1': 0.3564598858356476, 'redshifts/outlier_fraction_bin_2': 0.25972601771354675, 'redshifts/outlier_fraction_bin_3': 0.19355878233909607, 'redshifts/outlier_fraction_bin_4': 0.18051733076572418, 'redshifts/outlier_fraction_bin_5': 0.09241316467523575, 'redshifts/outlier_fraction_cata': 0.08821729570627213, 'redshifts/outlier_fraction_cata_bin_0': 0.1317797750234604, 'redshifts/outlier_fraction_cata_bin_1': 0.09974756836891174, 'redshifts/outlier_fraction_cata_bin_2': 0.07999999821186066, 'redshifts/outlier_fraction_cata_bin_3': 0.055394526571035385, 'redshifts/outlier_fraction_cata_bin_4': 0.053384698927402496, 'redshifts/outlier_fraction_cata_bin_5': 0.01590493693947792}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 848/1563 [1:19:08<1:06:00, 5.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([53997.])\n", + "total num of pts: tensor([19552., 13088., 5479., 3109., 1819., 10950.])\n", + "{'redshifts/bias_abs': 0.07586196810007095, 'redshifts/bias_abs_bin_0': 0.14532585442066193, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04663298279047012, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004284476395696402, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.011487627401947975, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.3107526898384094, 'redshifts/mse_bin_0': 0.43734437227249146, 'redshifts/mse_bin_1': 0.3671967387199402, 'redshifts/mse_bin_2': 0.2899470925331116, 'redshifts/mse_bin_3': 0.21333841979503632, 'redshifts/mse_bin_4': 0.21501320600509644, 'redshifts/mse_bin_5': 0.07122386991977692, 'redshifts/nmad': 0.1123315691947937, 'redshifts/nmad_bin_0': 0.21393534541130066, 'redshifts/nmad_bin_1': 0.13452383875846863, 'redshifts/nmad_bin_2': 0.08870452642440796, 'redshifts/nmad_bin_3': 0.06956863403320312, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03535520285367966, 'redshifts/outlier_fraction': 0.3262588679790497, 'redshifts/outlier_fraction_bin_0': 0.49018004536628723, 'redshifts/outlier_fraction_bin_1': 0.35635697841644287, 'redshifts/outlier_fraction_bin_2': 0.2602664828300476, 'redshifts/outlier_fraction_bin_3': 0.1936313956975937, 'redshifts/outlier_fraction_bin_4': 0.18086861073970795, 'redshifts/outlier_fraction_bin_5': 0.09242009371519089, 'redshifts/outlier_fraction_cata': 0.08826415985822678, 'redshifts/outlier_fraction_cata_bin_0': 0.13185352087020874, 'redshifts/outlier_fraction_cata_bin_1': 0.09963325411081314, 'redshifts/outlier_fraction_cata_bin_2': 0.08012410998344421, 'redshifts/outlier_fraction_cata_bin_3': 0.05564490333199501, 'redshifts/outlier_fraction_cata_bin_4': 0.05332600325345993, 'redshifts/outlier_fraction_cata_bin_5': 0.015981735661625862}\n", + "total num of pts: tensor([54081.])\n", + "total num of pts: tensor([19577., 13108., 5487., 3115., 1821., 10973.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 849/1563 [1:19:13<1:03:44, 5.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07588476687669754, 'redshifts/bias_abs_bin_0': 0.14535316824913025, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004272982012480497, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.011486740782856941, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.3109051585197449, 'redshifts/mse_bin_0': 0.43734976649284363, 'redshifts/mse_bin_1': 0.3674769997596741, 'redshifts/mse_bin_2': 0.2905660569667816, 'redshifts/mse_bin_3': 0.2130112498998642, 'redshifts/mse_bin_4': 0.21478335559368134, 'redshifts/mse_bin_5': 0.0716492235660553, 'redshifts/nmad': 0.11237862706184387, 'redshifts/nmad_bin_0': 0.21401749551296234, 'redshifts/nmad_bin_1': 0.13464510440826416, 'redshifts/nmad_bin_2': 0.08872344344854355, 'redshifts/nmad_bin_3': 0.06963732838630676, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03540804609656334, 'redshifts/outlier_fraction': 0.3263438045978546, 'redshifts/outlier_fraction_bin_0': 0.4902181029319763, 'redshifts/outlier_fraction_bin_1': 0.3564998507499695, 'redshifts/outlier_fraction_bin_2': 0.2606160044670105, 'redshifts/outlier_fraction_bin_3': 0.19357945024967194, 'redshifts/outlier_fraction_bin_4': 0.18066996335983276, 'redshifts/outlier_fraction_bin_5': 0.09268204122781754, 'redshifts/outlier_fraction_cata': 0.08829348534345627, 'redshifts/outlier_fraction_cata_bin_0': 0.1318894624710083, 'redshifts/outlier_fraction_cata_bin_1': 0.09963381290435791, 'redshifts/outlier_fraction_cata_bin_2': 0.0801895409822464, 'redshifts/outlier_fraction_cata_bin_3': 0.055537719279527664, 'redshifts/outlier_fraction_cata_bin_4': 0.05326743423938751, 'redshifts/outlier_fraction_cata_bin_5': 0.01613050140440464}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 850/1563 [1:19:20<1:10:11, 5.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54146.])\n", + "total num of pts: tensor([19602., 13119., 5494., 3117., 1822., 10992.])\n", + "{'redshifts/bias_abs': 0.07587627321481705, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004277696833014488, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.011521879583597183, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.3109549582004547, 'redshifts/mse_bin_0': 0.4375748932361603, 'redshifts/mse_bin_1': 0.3676546514034271, 'redshifts/mse_bin_2': 0.29022955894470215, 'redshifts/mse_bin_3': 0.2131262868642807, 'redshifts/mse_bin_4': 0.2146654725074768, 'redshifts/mse_bin_5': 0.07154523581266403, 'redshifts/nmad': 0.11238562315702438, 'redshifts/nmad_bin_0': 0.21405798196792603, 'redshifts/nmad_bin_1': 0.1346798688173294, 'redshifts/nmad_bin_2': 0.08868356049060822, 'redshifts/nmad_bin_3': 0.06963139027357101, 'redshifts/nmad_bin_4': 0.06269773840904236, 'redshifts/nmad_bin_5': 0.03539404273033142, 'redshifts/outlier_fraction': 0.3264137804508209, 'redshifts/outlier_fraction_bin_0': 0.4903581142425537, 'redshifts/outlier_fraction_bin_1': 0.3567345142364502, 'redshifts/outlier_fraction_bin_2': 0.26046594977378845, 'redshifts/outlier_fraction_bin_3': 0.19377607107162476, 'redshifts/outlier_fraction_bin_4': 0.1805707961320877, 'redshifts/outlier_fraction_bin_5': 0.09261281043291092, 'redshifts/outlier_fraction_cata': 0.0883537083864212, 'redshifts/outlier_fraction_cata_bin_0': 0.1320783644914627, 'redshifts/outlier_fraction_cata_bin_1': 0.09970272332429886, 'redshifts/outlier_fraction_cata_bin_2': 0.08008737117052078, 'redshifts/outlier_fraction_cata_bin_3': 0.055502086877822876, 'redshifts/outlier_fraction_cata_bin_4': 0.05323819816112518, 'redshifts/outlier_fraction_cata_bin_5': 0.016102619469165802}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 54%|█████▍ | 851/1563 [1:19:25<1:07:04, 5.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54204.])\n", + "total num of pts: tensor([19628., 13129., 5501., 3122., 1824., 11000.])\n", + "{'redshifts/bias_abs': 0.07592260837554932, 'redshifts/bias_abs_bin_0': 0.1454494148492813, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004284476395696402, 'redshifts/bias_bin_0': 0.028407348319888115, 'redshifts/bias_bin_1': 0.011486740782856941, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.3111015558242798, 'redshifts/mse_bin_0': 0.43771812319755554, 'redshifts/mse_bin_1': 0.36774519085884094, 'redshifts/mse_bin_2': 0.29076048731803894, 'redshifts/mse_bin_3': 0.2128869891166687, 'redshifts/mse_bin_4': 0.21443338692188263, 'redshifts/mse_bin_5': 0.07164376974105835, 'redshifts/nmad': 0.11240238696336746, 'redshifts/nmad_bin_0': 0.2141261249780655, 'redshifts/nmad_bin_1': 0.13473962247371674, 'redshifts/nmad_bin_2': 0.08874441683292389, 'redshifts/nmad_bin_3': 0.0696725994348526, 'redshifts/nmad_bin_4': 0.06270816177129745, 'redshifts/nmad_bin_5': 0.035404518246650696, 'redshifts/outlier_fraction': 0.3265257179737091, 'redshifts/outlier_fraction_bin_0': 0.4904218316078186, 'redshifts/outlier_fraction_bin_1': 0.3569197952747345, 'redshifts/outlier_fraction_bin_2': 0.26067987084388733, 'redshifts/outlier_fraction_bin_3': 0.19378603994846344, 'redshifts/outlier_fraction_bin_4': 0.18037280440330505, 'redshifts/outlier_fraction_bin_5': 0.0926363617181778, 'redshifts/outlier_fraction_cata': 0.0884067565202713, 'redshifts/outlier_fraction_cata_bin_0': 0.1321071982383728, 'redshifts/outlier_fraction_cata_bin_1': 0.09977911412715912, 'redshifts/outlier_fraction_cata_bin_2': 0.0801672413945198, 'redshifts/outlier_fraction_cata_bin_3': 0.055413197726011276, 'redshifts/outlier_fraction_cata_bin_4': 0.053179822862148285, 'redshifts/outlier_fraction_cata_bin_5': 0.016181817278265953}\n", + "total num of pts: tensor([54262.])\n", + "total num of pts: tensor([19647., 13142., 5505., 3127., 1828., 11013.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▍ | 852/1563 [1:19:30<1:04:48, 5.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004272982012480497, 'redshifts/bias_bin_0': 0.02847914956510067, 'redshifts/bias_bin_1': 0.011448400095105171, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.3110608160495758, 'redshifts/mse_bin_0': 0.43772828578948975, 'redshifts/mse_bin_1': 0.3675704002380371, 'redshifts/mse_bin_2': 0.2911522388458252, 'redshifts/mse_bin_3': 0.2125905603170395, 'redshifts/mse_bin_4': 0.2146148532629013, 'redshifts/mse_bin_5': 0.07157602906227112, 'redshifts/nmad': 0.11241943389177322, 'redshifts/nmad_bin_0': 0.21411623060703278, 'redshifts/nmad_bin_1': 0.13478881120681763, 'redshifts/nmad_bin_2': 0.08874441683292389, 'redshifts/nmad_bin_3': 0.06989715248346329, 'redshifts/nmad_bin_4': 0.06269773840904236, 'redshifts/nmad_bin_5': 0.03539404273033142, 'redshifts/outlier_fraction': 0.32650843262672424, 'redshifts/outlier_fraction_bin_0': 0.49045655131340027, 'redshifts/outlier_fraction_bin_1': 0.356871098279953, 'redshifts/outlier_fraction_bin_2': 0.26067212224006653, 'redshifts/outlier_fraction_bin_3': 0.19347617030143738, 'redshifts/outlier_fraction_bin_4': 0.1810722053050995, 'redshifts/outlier_fraction_bin_5': 0.09261781722307205, 'redshifts/outlier_fraction_cata': 0.08840440958738327, 'redshifts/outlier_fraction_cata_bin_0': 0.13208124041557312, 'redshifts/outlier_fraction_cata_bin_1': 0.09975650906562805, 'redshifts/outlier_fraction_cata_bin_2': 0.08029064536094666, 'redshifts/outlier_fraction_cata_bin_3': 0.05532459169626236, 'redshifts/outlier_fraction_cata_bin_4': 0.05361050367355347, 'redshifts/outlier_fraction_cata_bin_5': 0.01616271771490574}\n", + "total num of pts: tensor([54323.])\n", + "total num of pts: tensor([19669., 13159., 5510., 3129., 1831., 11025.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▍ | 853/1563 [1:19:36<1:05:55, 5.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07594193518161774, 'redshifts/bias_abs_bin_0': 0.14551156759262085, 'redshifts/bias_abs_bin_1': 0.09146305918693542, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004272982012480497, 'redshifts/bias_bin_0': 0.02853464148938656, 'redshifts/bias_bin_1': 0.011420093476772308, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.3110470771789551, 'redshifts/mse_bin_0': 0.43780091404914856, 'redshifts/mse_bin_1': 0.36760446429252625, 'redshifts/mse_bin_2': 0.2909044027328491, 'redshifts/mse_bin_3': 0.21251532435417175, 'redshifts/mse_bin_4': 0.21427378058433533, 'redshifts/mse_bin_5': 0.07151380181312561, 'redshifts/nmad': 0.11245077103376389, 'redshifts/nmad_bin_0': 0.21419315040111542, 'redshifts/nmad_bin_1': 0.1348307728767395, 'redshifts/nmad_bin_2': 0.08870452642440796, 'redshifts/nmad_bin_3': 0.06984242796897888, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03539404273033142, 'redshifts/outlier_fraction': 0.3265467584133148, 'redshifts/outlier_fraction_bin_0': 0.49051806330680847, 'redshifts/outlier_fraction_bin_1': 0.3569420278072357, 'redshifts/outlier_fraction_bin_2': 0.2604355812072754, 'redshifts/outlier_fraction_bin_3': 0.19367210566997528, 'redshifts/outlier_fraction_bin_4': 0.18077553808689117, 'redshifts/outlier_fraction_bin_5': 0.09269841015338898, 'redshifts/outlier_fraction_cata': 0.08843399584293365, 'redshifts/outlier_fraction_cata_bin_0': 0.13213686645030975, 'redshifts/outlier_fraction_cata_bin_1': 0.09985560923814774, 'redshifts/outlier_fraction_cata_bin_2': 0.08021778613328934, 'redshifts/outlier_fraction_cata_bin_3': 0.05528923124074936, 'redshifts/outlier_fraction_cata_bin_4': 0.05352266505360603, 'redshifts/outlier_fraction_cata_bin_5': 0.016145125031471252}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▍ | 854/1563 [1:19:44<1:14:21, 6.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54370.])\n", + "total num of pts: tensor([19686., 13170., 5519., 3131., 1831., 11033.])\n", + "{'redshifts/bias_abs': 0.07593366503715515, 'redshifts/bias_abs_bin_0': 0.14541053771972656, 'redshifts/bias_abs_bin_1': 0.09146305918693542, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004260141868144274, 'redshifts/bias_bin_0': 0.02847914956510067, 'redshifts/bias_bin_1': 0.011381042189896107, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.31094878911972046, 'redshifts/mse_bin_0': 0.43762654066085815, 'redshifts/mse_bin_1': 0.3674972355365753, 'redshifts/mse_bin_2': 0.2908790409564972, 'redshifts/mse_bin_3': 0.212425097823143, 'redshifts/mse_bin_4': 0.21427378058433533, 'redshifts/mse_bin_5': 0.07146332412958145, 'redshifts/nmad': 0.11243846267461777, 'redshifts/nmad_bin_0': 0.21407023072242737, 'redshifts/nmad_bin_1': 0.13480429351329803, 'redshifts/nmad_bin_2': 0.08864308893680573, 'redshifts/nmad_bin_3': 0.06984242796897888, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.03539404273033142, 'redshifts/outlier_fraction': 0.32650357484817505, 'redshifts/outlier_fraction_bin_0': 0.49029767513275146, 'redshifts/outlier_fraction_bin_1': 0.3569476008415222, 'redshifts/outlier_fraction_bin_2': 0.2607356309890747, 'redshifts/outlier_fraction_bin_3': 0.1938677728176117, 'redshifts/outlier_fraction_bin_4': 0.18077553808689117, 'redshifts/outlier_fraction_bin_5': 0.09263119846582413, 'redshifts/outlier_fraction_cata': 0.08839433640241623, 'redshifts/outlier_fraction_cata_bin_0': 0.1320735514163971, 'redshifts/outlier_fraction_cata_bin_1': 0.09984813630580902, 'redshifts/outlier_fraction_cata_bin_2': 0.08008696883916855, 'redshifts/outlier_fraction_cata_bin_3': 0.05525391176342964, 'redshifts/outlier_fraction_cata_bin_4': 0.05352266505360603, 'redshifts/outlier_fraction_cata_bin_5': 0.016133418306708336}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▍ | 855/1563 [1:19:52<1:20:23, 6.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54424.])\n", + "total num of pts: tensor([19713., 13178., 5524., 3134., 1831., 11044.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.14535316824913025, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004260141868144274, 'redshifts/bias_bin_0': 0.028486449271440506, 'redshifts/bias_bin_1': 0.011340675875544548, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.3110182583332062, 'redshifts/mse_bin_0': 0.4377107322216034, 'redshifts/mse_bin_1': 0.3674828112125397, 'redshifts/mse_bin_2': 0.29094523191452026, 'redshifts/mse_bin_3': 0.2124495953321457, 'redshifts/mse_bin_4': 0.21427378058433533, 'redshifts/mse_bin_5': 0.07155611366033554, 'redshifts/nmad': 0.11251944303512573, 'redshifts/nmad_bin_0': 0.2140088528394699, 'redshifts/nmad_bin_1': 0.13485266268253326, 'redshifts/nmad_bin_2': 0.08870452642440796, 'redshifts/nmad_bin_3': 0.06990697979927063, 'redshifts/nmad_bin_4': 0.06272619217634201, 'redshifts/nmad_bin_5': 0.035375144332647324, 'redshifts/outlier_fraction': 0.3265838623046875, 'redshifts/outlier_fraction_bin_0': 0.4902348816394806, 'redshifts/outlier_fraction_bin_1': 0.35703444480895996, 'redshifts/outlier_fraction_bin_2': 0.26086169481277466, 'redshifts/outlier_fraction_bin_3': 0.19432035088539124, 'redshifts/outlier_fraction_bin_4': 0.18077553808689117, 'redshifts/outlier_fraction_bin_5': 0.09272003173828125, 'redshifts/outlier_fraction_cata': 0.08845362067222595, 'redshifts/outlier_fraction_cata_bin_0': 0.13214629888534546, 'redshifts/outlier_fraction_cata_bin_1': 0.09993929415941238, 'redshifts/outlier_fraction_cata_bin_2': 0.08019550889730453, 'redshifts/outlier_fraction_cata_bin_3': 0.05520102009177208, 'redshifts/outlier_fraction_cata_bin_4': 0.05352266505360603, 'redshifts/outlier_fraction_cata_bin_5': 0.01611734926700592}\n", + "total num of pts: tensor([54476.])\n", + "total num of pts: tensor([19731., 13193., 5531., 3134., 1832., 11055.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▍ | 856/1563 [1:19:57<1:15:11, 6.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07596947997808456, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004260141868144274, 'redshifts/bias_bin_0': 0.02853464148938656, 'redshifts/bias_bin_1': 0.011340675875544548, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.3110233545303345, 'redshifts/mse_bin_0': 0.43780943751335144, 'redshifts/mse_bin_1': 0.3671724498271942, 'redshifts/mse_bin_2': 0.2914234697818756, 'redshifts/mse_bin_3': 0.2124495953321457, 'redshifts/mse_bin_4': 0.2141587883234024, 'redshifts/mse_bin_5': 0.07153249531984329, 'redshifts/nmad': 0.11246980726718903, 'redshifts/nmad_bin_0': 0.21403394639492035, 'redshifts/nmad_bin_1': 0.13485266268253326, 'redshifts/nmad_bin_2': 0.08866569399833679, 'redshifts/nmad_bin_3': 0.06990697979927063, 'redshifts/nmad_bin_4': 0.06269773840904236, 'redshifts/nmad_bin_5': 0.03540845215320587, 'redshifts/outlier_fraction': 0.32658419013023376, 'redshifts/outlier_fraction_bin_0': 0.49034515023231506, 'redshifts/outlier_fraction_bin_1': 0.3569317162036896, 'redshifts/outlier_fraction_bin_2': 0.2607123553752899, 'redshifts/outlier_fraction_bin_3': 0.19432035088539124, 'redshifts/outlier_fraction_bin_4': 0.18067686259746552, 'redshifts/outlier_fraction_bin_5': 0.0927182286977768, 'redshifts/outlier_fraction_cata': 0.0884426161646843, 'redshifts/outlier_fraction_cata_bin_0': 0.13217778503894806, 'redshifts/outlier_fraction_cata_bin_1': 0.0998256653547287, 'redshifts/outlier_fraction_cata_bin_2': 0.08027481287717819, 'redshifts/outlier_fraction_cata_bin_3': 0.05520102009177208, 'redshifts/outlier_fraction_cata_bin_4': 0.053493451327085495, 'redshifts/outlier_fraction_cata_bin_5': 0.016101311892271042}\n", + "total num of pts: tensor([54518.])\n", + "total num of pts: tensor([19748., 13199., 5534., 3136., 1836., 11065.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▍ | 857/1563 [1:20:12<1:44:38, 8.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07598616927862167, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004252952057868242, 'redshifts/bias_bin_0': 0.02853464148938656, 'redshifts/bias_bin_1': 0.011340675875544548, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': -5.507469177246094e-05, 'redshifts/mse': 0.3111608028411865, 'redshifts/mse_bin_0': 0.4380033016204834, 'redshifts/mse_bin_1': 0.36703842878341675, 'redshifts/mse_bin_2': 0.2913389801979065, 'redshifts/mse_bin_3': 0.21231575310230255, 'redshifts/mse_bin_4': 0.2139882594347, 'redshifts/mse_bin_5': 0.0721813216805458, 'redshifts/nmad': 0.1125151738524437, 'redshifts/nmad_bin_0': 0.2140493541955948, 'redshifts/nmad_bin_1': 0.13485266268253326, 'redshifts/nmad_bin_2': 0.08863349258899689, 'redshifts/nmad_bin_3': 0.06983006000518799, 'redshifts/nmad_bin_4': 0.06266378611326218, 'redshifts/nmad_bin_5': 0.03540434688329697, 'redshifts/outlier_fraction': 0.3266260623931885, 'redshifts/outlier_fraction_bin_0': 0.4903281331062317, 'redshifts/outlier_fraction_bin_1': 0.3568452298641205, 'redshifts/outlier_fraction_bin_2': 0.26075172424316406, 'redshifts/outlier_fraction_bin_3': 0.1941964328289032, 'redshifts/outlier_fraction_bin_4': 0.18137255311012268, 'redshifts/outlier_fraction_bin_5': 0.09299593418836594, 'redshifts/outlier_fraction_cata': 0.08846619725227356, 'redshifts/outlier_fraction_cata_bin_0': 0.13221591711044312, 'redshifts/outlier_fraction_cata_bin_1': 0.09978028386831284, 'redshifts/outlier_fraction_cata_bin_2': 0.08023129403591156, 'redshifts/outlier_fraction_cata_bin_3': 0.055165816098451614, 'redshifts/outlier_fraction_cata_bin_4': 0.053376905620098114, 'redshifts/outlier_fraction_cata_bin_5': 0.016267510131001472}\n", + "total num of pts: tensor([54589.])\n", + "total num of pts: tensor([19773., 13216., 5540., 3141., 1841., 11078.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▍ | 858/1563 [1:20:21<1:44:14, 8.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07598846405744553, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09151016175746918, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004270642064511776, 'redshifts/bias_bin_0': 0.02853464148938656, 'redshifts/bias_bin_1': 0.011420093476772308, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.3110562860965729, 'redshifts/mse_bin_0': 0.4379425346851349, 'redshifts/mse_bin_1': 0.36690402030944824, 'redshifts/mse_bin_2': 0.2912486493587494, 'redshifts/mse_bin_3': 0.21198207139968872, 'redshifts/mse_bin_4': 0.2138569951057434, 'redshifts/mse_bin_5': 0.07210453599691391, 'redshifts/nmad': 0.11254303902387619, 'redshifts/nmad_bin_0': 0.21401755511760712, 'redshifts/nmad_bin_1': 0.13483843207359314, 'redshifts/nmad_bin_2': 0.08855744451284409, 'redshifts/nmad_bin_3': 0.06971657276153564, 'redshifts/nmad_bin_4': 0.06291384249925613, 'redshifts/nmad_bin_5': 0.035396527498960495, 'redshifts/outlier_fraction': 0.32664090394973755, 'redshifts/outlier_fraction_bin_0': 0.4903150796890259, 'redshifts/outlier_fraction_bin_1': 0.35706719756126404, 'redshifts/outlier_fraction_bin_2': 0.2608303129673004, 'redshifts/outlier_fraction_bin_3': 0.19388729333877563, 'redshifts/outlier_fraction_bin_4': 0.1814231425523758, 'redshifts/outlier_fraction_bin_5': 0.09288680553436279, 'redshifts/outlier_fraction_cata': 0.08844272792339325, 'redshifts/outlier_fraction_cata_bin_0': 0.13230162858963013, 'redshifts/outlier_fraction_cata_bin_1': 0.09965194016695023, 'redshifts/outlier_fraction_cata_bin_2': 0.08014440536499023, 'redshifts/outlier_fraction_cata_bin_3': 0.05507799983024597, 'redshifts/outlier_fraction_cata_bin_4': 0.05323193967342377, 'redshifts/outlier_fraction_cata_bin_5': 0.016248419880867004}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▍ | 859/1563 [1:20:37<2:09:51, 11.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54640.])\n", + "total num of pts: tensor([19791., 13227., 5545., 3145., 1842., 11090.])\n", + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.14535316824913025, 'redshifts/bias_abs_bin_1': 0.09152205288410187, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004263460636138916, 'redshifts/bias_bin_0': 0.028539584949612617, 'redshifts/bias_bin_1': 0.011434633284807205, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': -9.233893797500059e-05, 'redshifts/mse': 0.31097373366355896, 'redshifts/mse_bin_0': 0.4379156231880188, 'redshifts/mse_bin_1': 0.3668819069862366, 'redshifts/mse_bin_2': 0.2909948527812958, 'redshifts/mse_bin_3': 0.2117624133825302, 'redshifts/mse_bin_4': 0.21374088525772095, 'redshifts/mse_bin_5': 0.07203104346990585, 'redshifts/nmad': 0.11245573312044144, 'redshifts/nmad_bin_0': 0.21393007040023804, 'redshifts/nmad_bin_1': 0.13486570119857788, 'redshifts/nmad_bin_2': 0.0885147750377655, 'redshifts/nmad_bin_3': 0.06971657276153564, 'redshifts/nmad_bin_4': 0.06280120462179184, 'redshifts/nmad_bin_5': 0.035370487719774246, 'redshifts/outlier_fraction': 0.32655563950538635, 'redshifts/outlier_fraction_bin_0': 0.49017229676246643, 'redshifts/outlier_fraction_bin_1': 0.357072651386261, 'redshifts/outlier_fraction_bin_2': 0.2605951428413391, 'redshifts/outlier_fraction_bin_3': 0.1942766308784485, 'redshifts/outlier_fraction_bin_4': 0.18132464587688446, 'redshifts/outlier_fraction_bin_5': 0.09278629720211029, 'redshifts/outlier_fraction_cata': 0.08845168352127075, 'redshifts/outlier_fraction_cata_bin_0': 0.13238340616226196, 'redshifts/outlier_fraction_cata_bin_1': 0.09964466840028763, 'redshifts/outlier_fraction_cata_bin_2': 0.08007213473320007, 'redshifts/outlier_fraction_cata_bin_3': 0.055007949471473694, 'redshifts/outlier_fraction_cata_bin_4': 0.0532030388712883, 'redshifts/outlier_fraction_cata_bin_5': 0.016230838373303413}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▌ | 860/1563 [1:20:49<2:13:52, 11.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54700.])\n", + "total num of pts: tensor([19812., 13240., 5550., 3149., 1844., 11105.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14541053771972656, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004260141868144274, 'redshifts/bias_bin_0': 0.02847914956510067, 'redshifts/bias_bin_1': 0.011434633284807205, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.31102487444877625, 'redshifts/mse_bin_0': 0.43785855174064636, 'redshifts/mse_bin_1': 0.36662545800209045, 'redshifts/mse_bin_2': 0.2908632159233093, 'redshifts/mse_bin_3': 0.2137538641691208, 'redshifts/mse_bin_4': 0.21351923048496246, 'redshifts/mse_bin_5': 0.07230814546346664, 'redshifts/nmad': 0.11248886585235596, 'redshifts/nmad_bin_0': 0.21389295160770416, 'redshifts/nmad_bin_1': 0.13481688499450684, 'redshifts/nmad_bin_2': 0.08858533203601837, 'redshifts/nmad_bin_3': 0.07003283500671387, 'redshifts/nmad_bin_4': 0.06280120462179184, 'redshifts/nmad_bin_5': 0.03541182726621628, 'redshifts/outlier_fraction': 0.3266361951828003, 'redshifts/outlier_fraction_bin_0': 0.49025842547416687, 'redshifts/outlier_fraction_bin_1': 0.357099711894989, 'redshifts/outlier_fraction_bin_2': 0.26072072982788086, 'redshifts/outlier_fraction_bin_3': 0.19498252868652344, 'redshifts/outlier_fraction_bin_4': 0.18112798035144806, 'redshifts/outlier_fraction_bin_5': 0.09284105896949768, 'redshifts/outlier_fraction_cata': 0.08846434950828552, 'redshifts/outlier_fraction_cata_bin_0': 0.13239450752735138, 'redshifts/outlier_fraction_cata_bin_1': 0.09954682737588882, 'redshifts/outlier_fraction_cata_bin_2': 0.07999999821186066, 'redshifts/outlier_fraction_cata_bin_3': 0.055573198944330215, 'redshifts/outlier_fraction_cata_bin_4': 0.05314533784985542, 'redshifts/outlier_fraction_cata_bin_5': 0.016298964619636536}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▌ | 861/1563 [1:20:56<1:58:37, 10.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54765.])\n", + "total num of pts: tensor([19843., 13253., 5559., 3152., 1848., 11110.])\n", + "{'redshifts/bias_abs': 0.07598616927862167, 'redshifts/bias_abs_bin_0': 0.14535316824913025, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023889830335974693, 'redshifts/bias': 0.004270642064511776, 'redshifts/bias_bin_0': 0.028539584949612617, 'redshifts/bias_bin_1': 0.011415570974349976, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.31091147661209106, 'redshifts/mse_bin_0': 0.43761107325553894, 'redshifts/mse_bin_1': 0.36645302176475525, 'redshifts/mse_bin_2': 0.2908611297607422, 'redshifts/mse_bin_3': 0.2135671228170395, 'redshifts/mse_bin_4': 0.21315662562847137, 'redshifts/mse_bin_5': 0.07227741181850433, 'redshifts/nmad': 0.11254303902387619, 'redshifts/nmad_bin_0': 0.21361784636974335, 'redshifts/nmad_bin_1': 0.13483744859695435, 'redshifts/nmad_bin_2': 0.08872344344854355, 'redshifts/nmad_bin_3': 0.06992078572511673, 'redshifts/nmad_bin_4': 0.06269899755716324, 'redshifts/nmad_bin_5': 0.035410232841968536, 'redshifts/outlier_fraction': 0.32663196325302124, 'redshifts/outlier_fraction_bin_0': 0.4901980459690094, 'redshifts/outlier_fraction_bin_1': 0.35705122351646423, 'redshifts/outlier_fraction_bin_2': 0.26083827018737793, 'redshifts/outlier_fraction_bin_3': 0.19479694962501526, 'redshifts/outlier_fraction_bin_4': 0.18073593080043793, 'redshifts/outlier_fraction_bin_5': 0.09279928356409073, 'redshifts/outlier_fraction_cata': 0.08846890926361084, 'redshifts/outlier_fraction_cata_bin_0': 0.13238926231861115, 'redshifts/outlier_fraction_cata_bin_1': 0.09952463954687119, 'redshifts/outlier_fraction_cata_bin_2': 0.08005037158727646, 'redshifts/outlier_fraction_cata_bin_3': 0.055520303547382355, 'redshifts/outlier_fraction_cata_bin_4': 0.05303030461072922, 'redshifts/outlier_fraction_cata_bin_5': 0.016291629523038864}\n", + "total num of pts: tensor([54824.])\n", + "total num of pts: tensor([19872., 13261., 5562., 3155., 1852., 11122.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▌ | 862/1563 [1:21:03<1:45:08, 9.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07598108798265457, 'redshifts/bias_abs_bin_0': 0.1452959030866623, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023889830335974693, 'redshifts/bias': 0.004269473720341921, 'redshifts/bias_bin_0': 0.028539584949612617, 'redshifts/bias_bin_1': 0.011381042189896107, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': -5.507469177246094e-05, 'redshifts/mse': 0.310775488615036, 'redshifts/mse_bin_0': 0.437276691198349, 'redshifts/mse_bin_1': 0.3664121925830841, 'redshifts/mse_bin_2': 0.290716290473938, 'redshifts/mse_bin_3': 0.21355989575386047, 'redshifts/mse_bin_4': 0.21356794238090515, 'redshifts/mse_bin_5': 0.07221288979053497, 'redshifts/nmad': 0.11253965646028519, 'redshifts/nmad_bin_0': 0.21357321739196777, 'redshifts/nmad_bin_1': 0.1348618119955063, 'redshifts/nmad_bin_2': 0.0887201726436615, 'redshifts/nmad_bin_3': 0.06992078572511673, 'redshifts/nmad_bin_4': 0.06269899755716324, 'redshifts/nmad_bin_5': 0.035423699766397476, 'redshifts/outlier_fraction': 0.3265722990036011, 'redshifts/outlier_fraction_bin_0': 0.4899859130382538, 'redshifts/outlier_fraction_bin_1': 0.35706207156181335, 'redshifts/outlier_fraction_bin_2': 0.260697603225708, 'redshifts/outlier_fraction_bin_3': 0.19492869079113007, 'redshifts/outlier_fraction_bin_4': 0.18088552355766296, 'redshifts/outlier_fraction_bin_5': 0.09278906881809235, 'redshifts/outlier_fraction_cata': 0.08842842280864716, 'redshifts/outlier_fraction_cata_bin_0': 0.13224637508392334, 'redshifts/outlier_fraction_cata_bin_1': 0.09954000264406204, 'redshifts/outlier_fraction_cata_bin_2': 0.08000718802213669, 'redshifts/outlier_fraction_cata_bin_3': 0.05546751245856285, 'redshifts/outlier_fraction_cata_bin_4': 0.05345572531223297, 'redshifts/outlier_fraction_cata_bin_5': 0.01627405174076557}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▌ | 863/1563 [1:21:08<1:34:10, 8.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54883.])\n", + "total num of pts: tensor([19894., 13274., 5572., 3157., 1852., 11134.])\n", + "{'redshifts/bias_abs': 0.07600420713424683, 'redshifts/bias_abs_bin_0': 0.14535316824913025, 'redshifts/bias_abs_bin_1': 0.09151016175746918, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023895373567938805, 'redshifts/bias': 0.004263460636138916, 'redshifts/bias_bin_0': 0.028539584949612617, 'redshifts/bias_bin_1': 0.011381042189896107, 'redshifts/bias_bin_2': -0.002685701474547386, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.31086480617523193, 'redshifts/mse_bin_0': 0.43732255697250366, 'redshifts/mse_bin_1': 0.3664350211620331, 'redshifts/mse_bin_2': 0.29032567143440247, 'redshifts/mse_bin_3': 0.21502342820167542, 'redshifts/mse_bin_4': 0.21356794238090515, 'redshifts/mse_bin_5': 0.07230302691459656, 'redshifts/nmad': 0.11264864355325699, 'redshifts/nmad_bin_0': 0.21363988518714905, 'redshifts/nmad_bin_1': 0.13480429351329803, 'redshifts/nmad_bin_2': 0.08872487396001816, 'redshifts/nmad_bin_3': 0.07025395333766937, 'redshifts/nmad_bin_4': 0.06269899755716324, 'redshifts/nmad_bin_5': 0.03544798493385315, 'redshifts/outlier_fraction': 0.3266403079032898, 'redshifts/outlier_fraction_bin_0': 0.49014776945114136, 'redshifts/outlier_fraction_bin_1': 0.3570137023925781, 'redshifts/outlier_fraction_bin_2': 0.2605886459350586, 'redshifts/outlier_fraction_bin_3': 0.19512194395065308, 'redshifts/outlier_fraction_bin_4': 0.18088552355766296, 'redshifts/outlier_fraction_bin_5': 0.09286869317293167, 'redshifts/outlier_fraction_cata': 0.0884973481297493, 'redshifts/outlier_fraction_cata_bin_0': 0.13235145807266235, 'redshifts/outlier_fraction_cata_bin_1': 0.09959319233894348, 'redshifts/outlier_fraction_cata_bin_2': 0.07986360043287277, 'redshifts/outlier_fraction_cata_bin_3': 0.05574912950396538, 'redshifts/outlier_fraction_cata_bin_4': 0.05345572531223297, 'redshifts/outlier_fraction_cata_bin_5': 0.01634632609784603}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▌ | 864/1563 [1:21:14<1:26:38, 7.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([54947.])\n", + "total num of pts: tensor([19922., 13291., 5575., 3159., 1854., 11146.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.1452959030866623, 'redshifts/bias_abs_bin_1': 0.09151016175746918, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023913385346531868, 'redshifts/bias': 0.004281789064407349, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.011415570974349976, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.3108344078063965, 'redshifts/mse_bin_0': 0.4371066093444824, 'redshifts/mse_bin_1': 0.3663868010044098, 'redshifts/mse_bin_2': 0.2902758717536926, 'redshifts/mse_bin_3': 0.21489104628562927, 'redshifts/mse_bin_4': 0.2133396863937378, 'redshifts/mse_bin_5': 0.07259158790111542, 'redshifts/nmad': 0.11257489770650864, 'redshifts/nmad_bin_0': 0.21352949738502502, 'redshifts/nmad_bin_1': 0.13483336567878723, 'redshifts/nmad_bin_2': 0.08871012181043625, 'redshifts/nmad_bin_3': 0.07014190405607224, 'redshifts/nmad_bin_4': 0.06273625791072845, 'redshifts/nmad_bin_5': 0.03543819859623909, 'redshifts/outlier_fraction': 0.3266056478023529, 'redshifts/outlier_fraction_bin_0': 0.4900110363960266, 'redshifts/outlier_fraction_bin_1': 0.3568580150604248, 'redshifts/outlier_fraction_bin_2': 0.260627806186676, 'redshifts/outlier_fraction_bin_3': 0.19499841332435608, 'redshifts/outlier_fraction_bin_4': 0.18069039285182953, 'redshifts/outlier_fraction_bin_5': 0.09303785860538483, 'redshifts/outlier_fraction_cata': 0.08848527073860168, 'redshifts/outlier_fraction_cata_bin_0': 0.1322658360004425, 'redshifts/outlier_fraction_cata_bin_1': 0.09961628168821335, 'redshifts/outlier_fraction_cata_bin_2': 0.07982062548398972, 'redshifts/outlier_fraction_cata_bin_3': 0.05571383237838745, 'redshifts/outlier_fraction_cata_bin_4': 0.05339805781841278, 'redshifts/outlier_fraction_cata_bin_5': 0.016418445855379105}\n", + "total num of pts: tensor([55000.])\n", + "total num of pts: tensor([19939., 13300., 5581., 3166., 1855., 11159.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▌ | 865/1563 [1:21:22<1:27:49, 7.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.1453431099653244, 'redshifts/bias_abs_bin_1': 0.0915614441037178, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023913385346531868, 'redshifts/bias': 0.004277696833014488, 'redshifts/bias_bin_0': 0.028558094054460526, 'redshifts/bias_bin_1': 0.011415570974349976, 'redshifts/bias_bin_2': -0.002675100462511182, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.31098654866218567, 'redshifts/mse_bin_0': 0.4373953938484192, 'redshifts/mse_bin_1': 0.3665740191936493, 'redshifts/mse_bin_2': 0.28997400403022766, 'redshifts/mse_bin_3': 0.21620498597621918, 'redshifts/mse_bin_4': 0.21323300898075104, 'redshifts/mse_bin_5': 0.07251842319965363, 'redshifts/nmad': 0.11256265640258789, 'redshifts/nmad_bin_0': 0.21358440816402435, 'redshifts/nmad_bin_1': 0.13483747839927673, 'redshifts/nmad_bin_2': 0.08870916068553925, 'redshifts/nmad_bin_3': 0.06990697979927063, 'redshifts/nmad_bin_4': 0.06277401000261307, 'redshifts/nmad_bin_5': 0.03543819859623909, 'redshifts/outlier_fraction': 0.32658180594444275, 'redshifts/outlier_fraction_bin_0': 0.49009478092193604, 'redshifts/outlier_fraction_bin_1': 0.35691729187965393, 'redshifts/outlier_fraction_bin_2': 0.2603476047515869, 'redshifts/outlier_fraction_bin_3': 0.19488313794136047, 'redshifts/outlier_fraction_bin_4': 0.18059299886226654, 'redshifts/outlier_fraction_bin_5': 0.09301909059286118, 'redshifts/outlier_fraction_cata': 0.08854545652866364, 'redshifts/outlier_fraction_cata_bin_0': 0.13240383565425873, 'redshifts/outlier_fraction_cata_bin_1': 0.09969925135374069, 'redshifts/outlier_fraction_cata_bin_2': 0.07973481714725494, 'redshifts/outlier_fraction_cata_bin_3': 0.0559065081179142, 'redshifts/outlier_fraction_cata_bin_4': 0.053369272500276566, 'redshifts/outlier_fraction_cata_bin_5': 0.016399318352341652}\n", + "total num of pts: tensor([55075.])\n", + "total num of pts: tensor([19966., 13316., 5590., 3173., 1857., 11173.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▌ | 866/1563 [1:21:35<1:46:14, 9.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07598616927862167, 'redshifts/bias_abs_bin_0': 0.1453431099653244, 'redshifts/bias_abs_bin_1': 0.0915614441037178, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004284476395696402, 'redshifts/bias_bin_0': 0.02858639322221279, 'redshifts/bias_bin_1': 0.011381042189896107, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.31085118651390076, 'redshifts/mse_bin_0': 0.43740394711494446, 'redshifts/mse_bin_1': 0.3663339614868164, 'redshifts/mse_bin_2': 0.28960907459259033, 'redshifts/mse_bin_3': 0.21583232283592224, 'redshifts/mse_bin_4': 0.2130081206560135, 'redshifts/mse_bin_5': 0.07245529443025589, 'redshifts/nmad': 0.11256154626607895, 'redshifts/nmad_bin_0': 0.2135477364063263, 'redshifts/nmad_bin_1': 0.1348845660686493, 'redshifts/nmad_bin_2': 0.0886991024017334, 'redshifts/nmad_bin_3': 0.07018393278121948, 'redshifts/nmad_bin_4': 0.062738798558712, 'redshifts/nmad_bin_5': 0.03541182726621628, 'redshifts/outlier_fraction': 0.32657286524772644, 'redshifts/outlier_fraction_bin_0': 0.49013322591781616, 'redshifts/outlier_fraction_bin_1': 0.35693901777267456, 'redshifts/outlier_fraction_bin_2': 0.2601073384284973, 'redshifts/outlier_fraction_bin_3': 0.19476835429668427, 'redshifts/outlier_fraction_bin_4': 0.18039849400520325, 'redshifts/outlier_fraction_bin_5': 0.093081533908844, 'redshifts/outlier_fraction_cata': 0.08849750459194183, 'redshifts/outlier_fraction_cata_bin_0': 0.13237503170967102, 'redshifts/outlier_fraction_cata_bin_1': 0.09965454787015915, 'redshifts/outlier_fraction_cata_bin_2': 0.07960644364356995, 'redshifts/outlier_fraction_cata_bin_3': 0.05578317120671272, 'redshifts/outlier_fraction_cata_bin_4': 0.0533117949962616, 'redshifts/outlier_fraction_cata_bin_5': 0.016378769651055336}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 55%|█████▌ | 867/1563 [1:21:44<1:46:17, 9.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55147.])\n", + "total num of pts: tensor([19989., 13336., 5596., 3177., 1860., 11189.])\n", + "{'redshifts/bias_abs': 0.07599033415317535, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09169650822877884, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004303706344217062, 'redshifts/bias_bin_0': 0.028701702132821083, 'redshifts/bias_bin_1': 0.011381042189896107, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.31098678708076477, 'redshifts/mse_bin_0': 0.4376492500305176, 'redshifts/mse_bin_1': 0.3661249279975891, 'redshifts/mse_bin_2': 0.29004740715026855, 'redshifts/mse_bin_3': 0.2174655795097351, 'redshifts/mse_bin_4': 0.21268782019615173, 'redshifts/mse_bin_5': 0.07235829532146454, 'redshifts/nmad': 0.11259041726589203, 'redshifts/nmad_bin_0': 0.21368969976902008, 'redshifts/nmad_bin_1': 0.1348886638879776, 'redshifts/nmad_bin_2': 0.08870452642440796, 'redshifts/nmad_bin_3': 0.0701427236199379, 'redshifts/nmad_bin_4': 0.06276394426822662, 'redshifts/nmad_bin_5': 0.03540804609656334, 'redshifts/outlier_fraction': 0.3265998065471649, 'redshifts/outlier_fraction_bin_0': 0.49026966094970703, 'redshifts/outlier_fraction_bin_1': 0.3570035994052887, 'redshifts/outlier_fraction_bin_2': 0.2601858377456665, 'redshifts/outlier_fraction_bin_3': 0.19483789801597595, 'redshifts/outlier_fraction_bin_4': 0.18010753393173218, 'redshifts/outlier_fraction_bin_5': 0.09294842928647995, 'redshifts/outlier_fraction_cata': 0.08852703124284744, 'redshifts/outlier_fraction_cata_bin_0': 0.13242283463478088, 'redshifts/outlier_fraction_cata_bin_1': 0.09965506941080093, 'redshifts/outlier_fraction_cata_bin_2': 0.07969978451728821, 'redshifts/outlier_fraction_cata_bin_3': 0.05602769926190376, 'redshifts/outlier_fraction_cata_bin_4': 0.0532258078455925, 'redshifts/outlier_fraction_cata_bin_5': 0.016355348750948906}\n", + "total num of pts: tensor([55199.])\n", + "total num of pts: tensor([20007., 13351., 5602., 3178., 1861., 11200.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 868/1563 [1:22:00<2:07:18, 10.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.1453431099653244, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004309116862714291, 'redshifts/bias_bin_0': 0.02876032330095768, 'redshifts/bias_bin_1': 0.011330720037221909, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -4.082471423316747e-05, 'redshifts/mse': 0.3110213279724121, 'redshifts/mse_bin_0': 0.4375719130039215, 'redshifts/mse_bin_1': 0.36616429686546326, 'redshifts/mse_bin_2': 0.29009994864463806, 'redshifts/mse_bin_3': 0.21741388738155365, 'redshifts/mse_bin_4': 0.21384106576442719, 'redshifts/mse_bin_5': 0.07240147888660431, 'redshifts/nmad': 0.11260851472616196, 'redshifts/nmad_bin_0': 0.21358910202980042, 'redshifts/nmad_bin_1': 0.13497093319892883, 'redshifts/nmad_bin_2': 0.08866569399833679, 'redshifts/nmad_bin_3': 0.0701427236199379, 'redshifts/nmad_bin_4': 0.06295109540224075, 'redshifts/nmad_bin_5': 0.035379208624362946, 'redshifts/outlier_fraction': 0.32658201456069946, 'redshifts/outlier_fraction_bin_0': 0.49012845754623413, 'redshifts/outlier_fraction_bin_1': 0.35705190896987915, 'redshifts/outlier_fraction_bin_2': 0.26008567214012146, 'redshifts/outlier_fraction_bin_3': 0.19477659463882446, 'redshifts/outlier_fraction_bin_4': 0.18054808676242828, 'redshifts/outlier_fraction_bin_5': 0.09303571283817291, 'redshifts/outlier_fraction_cata': 0.08857044577598572, 'redshifts/outlier_fraction_cata_bin_0': 0.1324036568403244, 'redshifts/outlier_fraction_cata_bin_1': 0.09969290345907211, 'redshifts/outlier_fraction_cata_bin_2': 0.07979293167591095, 'redshifts/outlier_fraction_cata_bin_3': 0.05601006746292114, 'redshifts/outlier_fraction_cata_bin_4': 0.05373455211520195, 'redshifts/outlier_fraction_cata_bin_5': 0.016428571194410324}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 869/1563 [1:22:22<2:48:16, 14.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55264.])\n", + "total num of pts: tensor([20032., 13368., 5608., 3180., 1861., 11215.])\n", + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.1454494148492813, 'redshifts/bias_abs_bin_1': 0.09169650822877884, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004297513980418444, 'redshifts/bias_bin_0': 0.028815526515245438, 'redshifts/bias_bin_1': 0.011291665956377983, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.31148427724838257, 'redshifts/mse_bin_0': 0.4378497302532196, 'redshifts/mse_bin_1': 0.36782070994377136, 'redshifts/mse_bin_2': 0.28994086384773254, 'redshifts/mse_bin_3': 0.2172907292842865, 'redshifts/mse_bin_4': 0.21384106576442719, 'redshifts/mse_bin_5': 0.07230790704488754, 'redshifts/nmad': 0.11262699961662292, 'redshifts/nmad_bin_0': 0.2136175036430359, 'redshifts/nmad_bin_1': 0.13493938744068146, 'redshifts/nmad_bin_2': 0.08870452642440796, 'redshifts/nmad_bin_3': 0.0704663023352623, 'redshifts/nmad_bin_4': 0.06295109540224075, 'redshifts/nmad_bin_5': 0.03537454456090927, 'redshifts/outlier_fraction': 0.3266502618789673, 'redshifts/outlier_fraction_bin_0': 0.4903654158115387, 'redshifts/outlier_fraction_bin_1': 0.3571214973926544, 'redshifts/outlier_fraction_bin_2': 0.2599857449531555, 'redshifts/outlier_fraction_bin_3': 0.19465409219264984, 'redshifts/outlier_fraction_bin_4': 0.18054808676242828, 'redshifts/outlier_fraction_bin_5': 0.09291128069162369, 'redshifts/outlier_fraction_cata': 0.08859293907880783, 'redshifts/outlier_fraction_cata_bin_0': 0.13243809342384338, 'redshifts/outlier_fraction_cata_bin_1': 0.0997905433177948, 'redshifts/outlier_fraction_cata_bin_2': 0.0797075629234314, 'redshifts/outlier_fraction_cata_bin_3': 0.05597484111785889, 'redshifts/outlier_fraction_cata_bin_4': 0.05373455211520195, 'redshifts/outlier_fraction_cata_bin_5': 0.016406597569584846}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 870/1563 [1:22:43<3:09:19, 16.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55330.])\n", + "total num of pts: tensor([20051., 13390., 5615., 3184., 1864., 11226.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14551156759262085, 'redshifts/bias_abs_bin_1': 0.09172537922859192, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004291702061891556, 'redshifts/bias_bin_0': 0.028815526515245438, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -5.507469177246094e-05, 'redshifts/mse': 0.3116390109062195, 'redshifts/mse_bin_0': 0.43791258335113525, 'redshifts/mse_bin_1': 0.36759018898010254, 'redshifts/mse_bin_2': 0.29100143909454346, 'redshifts/mse_bin_3': 0.21706216037273407, 'redshifts/mse_bin_4': 0.21690687537193298, 'redshifts/mse_bin_5': 0.07224185019731522, 'redshifts/nmad': 0.11265993118286133, 'redshifts/nmad_bin_0': 0.21375593543052673, 'redshifts/nmad_bin_1': 0.13504460453987122, 'redshifts/nmad_bin_2': 0.0888083279132843, 'redshifts/nmad_bin_3': 0.07052990049123764, 'redshifts/nmad_bin_4': 0.06296194344758987, 'redshifts/nmad_bin_5': 0.03535808250308037, 'redshifts/outlier_fraction': 0.3268570303916931, 'redshifts/outlier_fraction_bin_0': 0.49049922823905945, 'redshifts/outlier_fraction_bin_1': 0.35743090510368347, 'redshifts/outlier_fraction_bin_2': 0.26073017716407776, 'redshifts/outlier_fraction_bin_3': 0.19472362101078033, 'redshifts/outlier_fraction_bin_4': 0.18133047223091125, 'redshifts/outlier_fraction_bin_5': 0.09282024204730988, 'redshifts/outlier_fraction_cata': 0.08861377090215683, 'redshifts/outlier_fraction_cata_bin_0': 0.13256196677684784, 'redshifts/outlier_fraction_cata_bin_1': 0.0996265858411789, 'redshifts/outlier_fraction_cata_bin_2': 0.0797862857580185, 'redshifts/outlier_fraction_cata_bin_3': 0.05590452253818512, 'redshifts/outlier_fraction_cata_bin_4': 0.05418454855680466, 'redshifts/outlier_fraction_cata_bin_5': 0.016390521079301834}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 871/1563 [1:22:51<2:39:35, 13.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55390.])\n", + "total num of pts: tensor([20078., 13409., 5618., 3185., 1865., 11235.])\n", + "{'redshifts/bias_abs': 0.07605617493391037, 'redshifts/bias_abs_bin_0': 0.1454494148492813, 'redshifts/bias_abs_bin_1': 0.09172862768173218, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.0043115755543112755, 'redshifts/bias_bin_0': 0.028852520510554314, 'redshifts/bias_bin_1': 0.011330720037221909, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -5.507469177246094e-05, 'redshifts/mse': 0.31150656938552856, 'redshifts/mse_bin_0': 0.4376141130924225, 'redshifts/mse_bin_1': 0.36745697259902954, 'redshifts/mse_bin_2': 0.29085737466812134, 'redshifts/mse_bin_3': 0.21699467301368713, 'redshifts/mse_bin_4': 0.21679282188415527, 'redshifts/mse_bin_5': 0.07220758497714996, 'redshifts/nmad': 0.11270629614591599, 'redshifts/nmad_bin_0': 0.2137218564748764, 'redshifts/nmad_bin_1': 0.13508491218090057, 'redshifts/nmad_bin_2': 0.08874819427728653, 'redshifts/nmad_bin_3': 0.07052990049123764, 'redshifts/nmad_bin_4': 0.06299969553947449, 'redshifts/nmad_bin_5': 0.03531830757856369, 'redshifts/outlier_fraction': 0.3268640637397766, 'redshifts/outlier_fraction_bin_0': 0.490387499332428, 'redshifts/outlier_fraction_bin_1': 0.35752105712890625, 'redshifts/outlier_fraction_bin_2': 0.26059097051620483, 'redshifts/outlier_fraction_bin_3': 0.19466248154640198, 'redshifts/outlier_fraction_bin_4': 0.1812332421541214, 'redshifts/outlier_fraction_bin_5': 0.09283488988876343, 'redshifts/outlier_fraction_cata': 0.0885719433426857, 'redshifts/outlier_fraction_cata_bin_0': 0.13243350386619568, 'redshifts/outlier_fraction_cata_bin_1': 0.0996345728635788, 'redshifts/outlier_fraction_cata_bin_2': 0.07974368333816528, 'redshifts/outlier_fraction_cata_bin_3': 0.05588696897029877, 'redshifts/outlier_fraction_cata_bin_4': 0.05415549501776695, 'redshifts/outlier_fraction_cata_bin_5': 0.016377391293644905}\n", + "total num of pts: tensor([55460.])\n", + "total num of pts: tensor([20113., 13426., 5624., 3187., 1866., 11244.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 872/1563 [1:22:59<2:17:41, 11.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07608651369810104, 'redshifts/bias_abs_bin_0': 0.1455247700214386, 'redshifts/bias_abs_bin_1': 0.09172862768173218, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004319616127759218, 'redshifts/bias_bin_0': 0.028863511979579926, 'redshifts/bias_bin_1': 0.011340675875544548, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.311475545167923, 'redshifts/mse_bin_0': 0.4375647306442261, 'redshifts/mse_bin_1': 0.36716288328170776, 'redshifts/mse_bin_2': 0.2911489009857178, 'redshifts/mse_bin_3': 0.21686306595802307, 'redshifts/mse_bin_4': 0.21667693555355072, 'redshifts/mse_bin_5': 0.07215505838394165, 'redshifts/nmad': 0.1127716526389122, 'redshifts/nmad_bin_0': 0.21378998458385468, 'redshifts/nmad_bin_1': 0.13501206040382385, 'redshifts/nmad_bin_2': 0.08878795057535172, 'redshifts/nmad_bin_3': 0.07062754034996033, 'redshifts/nmad_bin_4': 0.06296194344758987, 'redshifts/nmad_bin_5': 0.03532882034778595, 'redshifts/outlier_fraction': 0.3269203007221222, 'redshifts/outlier_fraction_bin_0': 0.49057823419570923, 'redshifts/outlier_fraction_bin_1': 0.3572918176651001, 'redshifts/outlier_fraction_bin_2': 0.2606685757637024, 'redshifts/outlier_fraction_bin_3': 0.19454032182693481, 'redshifts/outlier_fraction_bin_4': 0.1811361163854599, 'redshifts/outlier_fraction_bin_5': 0.0927605852484703, 'redshifts/outlier_fraction_cata': 0.08856833726167679, 'redshifts/outlier_fraction_cata_bin_0': 0.13235220313072205, 'redshifts/outlier_fraction_cata_bin_1': 0.09958289563655853, 'redshifts/outlier_fraction_cata_bin_2': 0.08001422137022018, 'redshifts/outlier_fraction_cata_bin_3': 0.05585189908742905, 'redshifts/outlier_fraction_cata_bin_4': 0.054126475006341934, 'redshifts/outlier_fraction_cata_bin_5': 0.016364283859729767}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 873/1563 [1:23:10<2:15:57, 11.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55521.])\n", + "total num of pts: tensor([20136., 13442., 5632., 3194., 1866., 11251.])\n", + "{'redshifts/bias_abs': 0.07607142627239227, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09172537922859192, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004334075376391411, 'redshifts/bias_bin_0': 0.028977226465940475, 'redshifts/bias_bin_1': 0.011420093476772308, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -6.449222564697266e-05, 'redshifts/mse': 0.3114650547504425, 'redshifts/mse_bin_0': 0.4373854100704193, 'redshifts/mse_bin_1': 0.36738887429237366, 'redshifts/mse_bin_2': 0.29075658321380615, 'redshifts/mse_bin_3': 0.21691328287124634, 'redshifts/mse_bin_4': 0.21667693555355072, 'redshifts/mse_bin_5': 0.07222142070531845, 'redshifts/nmad': 0.11275020986795425, 'redshifts/nmad_bin_0': 0.21370923519134521, 'redshifts/nmad_bin_1': 0.13497039675712585, 'redshifts/nmad_bin_2': 0.08874393999576569, 'redshifts/nmad_bin_3': 0.07071596384048462, 'redshifts/nmad_bin_4': 0.06296194344758987, 'redshifts/nmad_bin_5': 0.035320114344358444, 'redshifts/outlier_fraction': 0.32688531279563904, 'redshifts/outlier_fraction_bin_0': 0.49051448702812195, 'redshifts/outlier_fraction_bin_1': 0.3572385013103485, 'redshifts/outlier_fraction_bin_2': 0.2602982819080353, 'redshifts/outlier_fraction_bin_3': 0.19474013149738312, 'redshifts/outlier_fraction_bin_4': 0.1811361163854599, 'redshifts/outlier_fraction_bin_5': 0.09279175102710724, 'redshifts/outlier_fraction_cata': 0.08859710395336151, 'redshifts/outlier_fraction_cata_bin_0': 0.13230036199092865, 'redshifts/outlier_fraction_cata_bin_1': 0.09968754649162292, 'redshifts/outlier_fraction_cata_bin_2': 0.07990057021379471, 'redshifts/outlier_fraction_cata_bin_3': 0.05604257807135582, 'redshifts/outlier_fraction_cata_bin_4': 0.054126475006341934, 'redshifts/outlier_fraction_cata_bin_5': 0.016442982479929924}\n", + "total num of pts: tensor([55578.])\n", + "total num of pts: tensor([20156., 13454., 5638., 3197., 1868., 11265.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 874/1563 [1:23:15<1:51:14, 9.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07609185576438904, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09172862768173218, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004337481688708067, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011448400095105171, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -7.481218926841393e-05, 'redshifts/mse': 0.31146860122680664, 'redshifts/mse_bin_0': 0.4372705817222595, 'redshifts/mse_bin_1': 0.36740368604660034, 'redshifts/mse_bin_2': 0.29158270359039307, 'redshifts/mse_bin_3': 0.21679767966270447, 'redshifts/mse_bin_4': 0.2164577841758728, 'redshifts/mse_bin_5': 0.07214955985546112, 'redshifts/nmad': 0.1127476841211319, 'redshifts/nmad_bin_0': 0.21372762322425842, 'redshifts/nmad_bin_1': 0.13501235842704773, 'redshifts/nmad_bin_2': 0.08876404911279678, 'redshifts/nmad_bin_3': 0.07072978466749191, 'redshifts/nmad_bin_4': 0.06296194344758987, 'redshifts/nmad_bin_5': 0.03530481457710266, 'redshifts/outlier_fraction': 0.3269099295139313, 'redshifts/outlier_fraction_bin_0': 0.49052390456199646, 'redshifts/outlier_fraction_bin_1': 0.3572915196418762, 'redshifts/outlier_fraction_bin_2': 0.2603760063648224, 'redshifts/outlier_fraction_bin_3': 0.19487018883228302, 'redshifts/outlier_fraction_bin_4': 0.18094217777252197, 'redshifts/outlier_fraction_bin_5': 0.09285397082567215, 'redshifts/outlier_fraction_cata': 0.08859620988368988, 'redshifts/outlier_fraction_cata_bin_0': 0.13226830959320068, 'redshifts/outlier_fraction_cata_bin_1': 0.09967295825481415, 'redshifts/outlier_fraction_cata_bin_2': 0.08017027378082275, 'redshifts/outlier_fraction_cata_bin_3': 0.05598999187350273, 'redshifts/outlier_fraction_cata_bin_4': 0.05406852066516876, 'redshifts/outlier_fraction_cata_bin_5': 0.01642254739999771}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 875/1563 [1:23:20<1:34:00, 8.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55625.])\n", + "total num of pts: tensor([20175., 13466., 5645., 3199., 1868., 11272.])\n", + "{'redshifts/bias_abs': 0.07606316357851028, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09169650822877884, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011434633284807205, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -5.507469177246094e-05, 'redshifts/mse': 0.3114994466304779, 'redshifts/mse_bin_0': 0.4370883107185364, 'redshifts/mse_bin_1': 0.36769574880599976, 'redshifts/mse_bin_2': 0.29181697964668274, 'redshifts/mse_bin_3': 0.21666914224624634, 'redshifts/mse_bin_4': 0.2164577841758728, 'redshifts/mse_bin_5': 0.0721047893166542, 'redshifts/nmad': 0.11272133886814117, 'redshifts/nmad_bin_0': 0.21359707415103912, 'redshifts/nmad_bin_1': 0.13486570119857788, 'redshifts/nmad_bin_2': 0.08884674310684204, 'redshifts/nmad_bin_3': 0.07072978466749191, 'redshifts/nmad_bin_4': 0.06296194344758987, 'redshifts/nmad_bin_5': 0.03524252772331238, 'redshifts/outlier_fraction': 0.3268314599990845, 'redshifts/outlier_fraction_bin_0': 0.490359365940094, 'redshifts/outlier_fraction_bin_1': 0.35712164640426636, 'redshifts/outlier_fraction_bin_2': 0.26058459281921387, 'redshifts/outlier_fraction_bin_3': 0.19474835693836212, 'redshifts/outlier_fraction_bin_4': 0.18094217777252197, 'redshifts/outlier_fraction_bin_5': 0.09279631078243256, 'redshifts/outlier_fraction_cata': 0.08861123770475388, 'redshifts/outlier_fraction_cata_bin_0': 0.13224287331104279, 'redshifts/outlier_fraction_cata_bin_1': 0.0997326597571373, 'redshifts/outlier_fraction_cata_bin_2': 0.08024800568819046, 'redshifts/outlier_fraction_cata_bin_3': 0.055954985320568085, 'redshifts/outlier_fraction_cata_bin_4': 0.05406852066516876, 'redshifts/outlier_fraction_cata_bin_5': 0.01641234941780567}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 876/1563 [1:23:24<1:21:12, 7.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55694.])\n", + "total num of pts: tensor([20203., 13481., 5651., 3203., 1871., 11285.])\n", + "{'redshifts/bias_abs': 0.07606694102287292, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004362151026725769, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011486740782856941, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -3.2660729630151764e-05, 'redshifts/mse': 0.3115360140800476, 'redshifts/mse_bin_0': 0.43716251850128174, 'redshifts/mse_bin_1': 0.36767077445983887, 'redshifts/mse_bin_2': 0.29213881492614746, 'redshifts/mse_bin_3': 0.21661320328712463, 'redshifts/mse_bin_4': 0.2161194384098053, 'redshifts/mse_bin_5': 0.07205133885145187, 'redshifts/nmad': 0.11272668093442917, 'redshifts/nmad_bin_0': 0.2135751098394394, 'redshifts/nmad_bin_1': 0.13496099412441254, 'redshifts/nmad_bin_2': 0.08884674310684204, 'redshifts/nmad_bin_3': 0.07070083916187286, 'redshifts/nmad_bin_4': 0.06299969553947449, 'redshifts/nmad_bin_5': 0.03527575731277466, 'redshifts/outlier_fraction': 0.3268754184246063, 'redshifts/outlier_fraction_bin_0': 0.4903232157230377, 'redshifts/outlier_fraction_bin_1': 0.35724353790283203, 'redshifts/outlier_fraction_bin_2': 0.2606618404388428, 'redshifts/outlier_fraction_bin_3': 0.19481736421585083, 'redshifts/outlier_fraction_bin_4': 0.18065205216407776, 'redshifts/outlier_fraction_bin_5': 0.09286663681268692, 'redshifts/outlier_fraction_cata': 0.08866304904222488, 'redshifts/outlier_fraction_cata_bin_0': 0.13230708241462708, 'redshifts/outlier_fraction_cata_bin_1': 0.09984422475099564, 'redshifts/outlier_fraction_cata_bin_2': 0.08033975958824158, 'redshifts/outlier_fraction_cata_bin_3': 0.055885106325149536, 'redshifts/outlier_fraction_cata_bin_4': 0.053981829434633255, 'redshifts/outlier_fraction_cata_bin_5': 0.016393441706895828}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 877/1563 [1:23:28<1:11:10, 6.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55751.])\n", + "total num of pts: tensor([20225., 13496., 5658., 3205., 1872., 11295.])\n", + "{'redshifts/bias_abs': 0.07612184435129166, 'redshifts/bias_abs_bin_0': 0.14551156759262085, 'redshifts/bias_abs_bin_1': 0.09172246605157852, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004362435545772314, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011456106789410114, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.31173378229141235, 'redshifts/mse_bin_0': 0.4374390244483948, 'redshifts/mse_bin_1': 0.36764854192733765, 'redshifts/mse_bin_2': 0.2918044924736023, 'redshifts/mse_bin_3': 0.21859215199947357, 'redshifts/mse_bin_4': 0.2160043865442276, 'redshifts/mse_bin_5': 0.07211381942033768, 'redshifts/nmad': 0.11277277022600174, 'redshifts/nmad_bin_0': 0.21365439891815186, 'redshifts/nmad_bin_1': 0.13497310876846313, 'redshifts/nmad_bin_2': 0.08888553082942963, 'redshifts/nmad_bin_3': 0.0708136036992073, 'redshifts/nmad_bin_4': 0.06296194344758987, 'redshifts/nmad_bin_5': 0.03532398119568825, 'redshifts/outlier_fraction': 0.32700759172439575, 'redshifts/outlier_fraction_bin_0': 0.4905315339565277, 'redshifts/outlier_fraction_bin_1': 0.357439249753952, 'redshifts/outlier_fraction_bin_2': 0.26051607728004456, 'redshifts/outlier_fraction_bin_3': 0.1950078010559082, 'redshifts/outlier_fraction_bin_4': 0.1805555522441864, 'redshifts/outlier_fraction_bin_5': 0.09287295490503311, 'redshifts/outlier_fraction_cata': 0.08880557864904404, 'redshifts/outlier_fraction_cata_bin_0': 0.13255871832370758, 'redshifts/outlier_fraction_cata_bin_1': 0.09995554387569427, 'redshifts/outlier_fraction_cata_bin_2': 0.08024036884307861, 'redshifts/outlier_fraction_cata_bin_3': 0.05616224557161331, 'redshifts/outlier_fraction_cata_bin_4': 0.05395299196243286, 'redshifts/outlier_fraction_cata_bin_5': 0.016467463225126266}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 878/1563 [1:23:34<1:09:08, 6.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([55805.])\n", + "total num of pts: tensor([20244., 13514., 5666., 3206., 1873., 11302.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.14541053771972656, 'redshifts/bias_abs_bin_1': 0.09177171438932419, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004377124831080437, 'redshifts/bias_bin_0': 0.02893446385860443, 'redshifts/bias_bin_1': 0.011456106789410114, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.3118942677974701, 'redshifts/mse_bin_0': 0.43738141655921936, 'redshifts/mse_bin_1': 0.3680155873298645, 'redshifts/mse_bin_2': 0.29193276166915894, 'redshifts/mse_bin_3': 0.2196149230003357, 'redshifts/mse_bin_4': 0.21589605510234833, 'redshifts/mse_bin_5': 0.07211228460073471, 'redshifts/nmad': 0.11281195282936096, 'redshifts/nmad_bin_0': 0.21359482407569885, 'redshifts/nmad_bin_1': 0.13530616462230682, 'redshifts/nmad_bin_2': 0.0887577012181282, 'redshifts/nmad_bin_3': 0.0708136036992073, 'redshifts/nmad_bin_4': 0.06297692656517029, 'redshifts/nmad_bin_5': 0.03536031022667885, 'redshifts/outlier_fraction': 0.3270495533943176, 'redshifts/outlier_fraction_bin_0': 0.4903181195259094, 'redshifts/outlier_fraction_bin_1': 0.35777711868286133, 'redshifts/outlier_fraction_bin_2': 0.2605012357234955, 'redshifts/outlier_fraction_bin_3': 0.19525888562202454, 'redshifts/outlier_fraction_bin_4': 0.1804591566324234, 'redshifts/outlier_fraction_bin_5': 0.09290391206741333, 'redshifts/outlier_fraction_cata': 0.08889884501695633, 'redshifts/outlier_fraction_cata_bin_0': 0.13258250057697296, 'redshifts/outlier_fraction_cata_bin_1': 0.10011839866638184, 'redshifts/outlier_fraction_cata_bin_2': 0.08048005402088165, 'redshifts/outlier_fraction_cata_bin_3': 0.05645664408802986, 'redshifts/outlier_fraction_cata_bin_4': 0.053924184292554855, 'redshifts/outlier_fraction_cata_bin_5': 0.016457263380289078}\n", + "total num of pts: tensor([55860.])\n", + "total num of pts: tensor([20266., 13523., 5673., 3210., 1875., 11313.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 879/1563 [1:23:40<1:10:15, 6.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07616356015205383, 'redshifts/bias_abs_bin_0': 0.14535316824913025, 'redshifts/bias_abs_bin_1': 0.09180497378110886, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004362338688224554, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011456106789410114, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.311938613653183, 'redshifts/mse_bin_0': 0.4376528859138489, 'redshifts/mse_bin_1': 0.3678879737854004, 'redshifts/mse_bin_2': 0.2920379340648651, 'redshifts/mse_bin_3': 0.21937839686870575, 'redshifts/mse_bin_4': 0.21566717326641083, 'redshifts/mse_bin_5': 0.07205646485090256, 'redshifts/nmad': 0.11284542083740234, 'redshifts/nmad_bin_0': 0.2135751098394394, 'redshifts/nmad_bin_1': 0.13539758324623108, 'redshifts/nmad_bin_2': 0.08915237337350845, 'redshifts/nmad_bin_3': 0.07086406648159027, 'redshifts/nmad_bin_4': 0.06296194344758987, 'redshifts/nmad_bin_5': 0.035418927669525146, 'redshifts/outlier_fraction': 0.32708558440208435, 'redshifts/outlier_fraction_bin_0': 0.49027928709983826, 'redshifts/outlier_fraction_bin_1': 0.3579087555408478, 'redshifts/outlier_fraction_bin_2': 0.26070863008499146, 'redshifts/outlier_fraction_bin_3': 0.19532710313796997, 'redshifts/outlier_fraction_bin_4': 0.18026666343212128, 'redshifts/outlier_fraction_bin_5': 0.09290196746587753, 'redshifts/outlier_fraction_cata': 0.08890082687139511, 'redshifts/outlier_fraction_cata_bin_0': 0.1326359361410141, 'redshifts/outlier_fraction_cata_bin_1': 0.10005176067352295, 'redshifts/outlier_fraction_cata_bin_2': 0.08055702596902847, 'redshifts/outlier_fraction_cata_bin_3': 0.05638629198074341, 'redshifts/outlier_fraction_cata_bin_4': 0.0538666658103466, 'redshifts/outlier_fraction_cata_bin_5': 0.016441261395812035}\n", + "total num of pts: tensor([55914.])\n", + "total num of pts: tensor([20288., 13534., 5677., 3217., 1878., 11320.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▋ | 880/1563 [1:23:45<1:05:24, 5.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07616356015205383, 'redshifts/bias_abs_bin_0': 0.14541053771972656, 'redshifts/bias_abs_bin_1': 0.09180448949337006, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004362853243947029, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011486740782856941, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.006178225856274366, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': -3.0819977837381884e-05, 'redshifts/mse': 0.31201738119125366, 'redshifts/mse_bin_0': 0.4376097619533539, 'redshifts/mse_bin_1': 0.36803585290908813, 'redshifts/mse_bin_2': 0.29212427139282227, 'redshifts/mse_bin_3': 0.21997445821762085, 'redshifts/mse_bin_4': 0.21601712703704834, 'redshifts/mse_bin_5': 0.07201504707336426, 'redshifts/nmad': 0.11284466087818146, 'redshifts/nmad_bin_0': 0.21355633437633514, 'redshifts/nmad_bin_1': 0.1353982537984848, 'redshifts/nmad_bin_2': 0.08909910917282104, 'redshifts/nmad_bin_3': 0.07103198766708374, 'redshifts/nmad_bin_4': 0.06297692656517029, 'redshifts/nmad_bin_5': 0.035418927669525146, 'redshifts/outlier_fraction': 0.3271452486515045, 'redshifts/outlier_fraction_bin_0': 0.49033913016319275, 'redshifts/outlier_fraction_bin_1': 0.35783952474594116, 'redshifts/outlier_fraction_bin_2': 0.26087722182273865, 'redshifts/outlier_fraction_bin_3': 0.19552378356456757, 'redshifts/outlier_fraction_bin_4': 0.18104366958141327, 'redshifts/outlier_fraction_bin_5': 0.09284452348947525, 'redshifts/outlier_fraction_cata': 0.08890438824892044, 'redshifts/outlier_fraction_cata_bin_0': 0.13259069621562958, 'redshifts/outlier_fraction_cata_bin_1': 0.10004433244466782, 'redshifts/outlier_fraction_cata_bin_2': 0.08067641407251358, 'redshifts/outlier_fraction_cata_bin_3': 0.05657444894313812, 'redshifts/outlier_fraction_cata_bin_4': 0.05378061905503273, 'redshifts/outlier_fraction_cata_bin_5': 0.016431095078587532}\n", + "total num of pts: tensor([55955.])\n", + "total num of pts: tensor([20304., 13548., 5680., 3218., 1880., 11325.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▋ | 881/1563 [1:23:52<1:09:55, 6.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07616356015205383, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09180448949337006, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011487627401947975, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -2.3752450942993164e-05, 'redshifts/mse': 0.3120175004005432, 'redshifts/mse_bin_0': 0.4375270903110504, 'redshifts/mse_bin_1': 0.36816075444221497, 'redshifts/mse_bin_2': 0.29207852482795715, 'redshifts/mse_bin_3': 0.21990759670734406, 'redshifts/mse_bin_4': 0.21578757464885712, 'redshifts/mse_bin_5': 0.0719841942191124, 'redshifts/nmad': 0.11283645778894424, 'redshifts/nmad_bin_0': 0.2135751098394394, 'redshifts/nmad_bin_1': 0.13539694249629974, 'redshifts/nmad_bin_2': 0.08898123353719711, 'redshifts/nmad_bin_3': 0.07095463573932648, 'redshifts/nmad_bin_4': 0.06298885494470596, 'redshifts/nmad_bin_5': 0.03540845215320587, 'redshifts/outlier_fraction': 0.327155739068985, 'redshifts/outlier_fraction_bin_0': 0.49039599299430847, 'redshifts/outlier_fraction_bin_1': 0.35776498913764954, 'redshifts/outlier_fraction_bin_2': 0.26091548800468445, 'redshifts/outlier_fraction_bin_3': 0.19546301662921906, 'redshifts/outlier_fraction_bin_4': 0.1808510571718216, 'redshifts/outlier_fraction_bin_5': 0.09280353039503098, 'redshifts/outlier_fraction_cata': 0.08891072869300842, 'redshifts/outlier_fraction_cata_bin_0': 0.13258470594882965, 'redshifts/outlier_fraction_cata_bin_1': 0.10008857399225235, 'redshifts/outlier_fraction_cata_bin_2': 0.08063380420207977, 'redshifts/outlier_fraction_cata_bin_3': 0.05655686929821968, 'redshifts/outlier_fraction_cata_bin_4': 0.05372340604662895, 'redshifts/outlier_fraction_cata_bin_5': 0.016423841938376427}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▋ | 882/1563 [1:23:57<1:06:46, 5.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56004.])\n", + "total num of pts: tensor([20324., 13558., 5684., 3219., 1883., 11336.])\n", + "{'redshifts/bias_abs': 0.07616924494504929, 'redshifts/bias_abs_bin_0': 0.1454494148492813, 'redshifts/bias_abs_bin_1': 0.09193190187215805, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011487627401947975, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': -2.226332617283333e-05, 'redshifts/mse': 0.31209203600883484, 'redshifts/mse_bin_0': 0.4375225901603699, 'redshifts/mse_bin_1': 0.36857423186302185, 'redshifts/mse_bin_2': 0.2920546233654022, 'redshifts/mse_bin_3': 0.21983946859836578, 'redshifts/mse_bin_4': 0.21567827463150024, 'redshifts/mse_bin_5': 0.07191860675811768, 'redshifts/nmad': 0.11290424317121506, 'redshifts/nmad_bin_0': 0.21360118687152863, 'redshifts/nmad_bin_1': 0.13544431328773499, 'redshifts/nmad_bin_2': 0.08898123353719711, 'redshifts/nmad_bin_3': 0.07095463573932648, 'redshifts/nmad_bin_4': 0.06298885494470596, 'redshifts/nmad_bin_5': 0.035406727343797684, 'redshifts/outlier_fraction': 0.32724449038505554, 'redshifts/outlier_fraction_bin_0': 0.49045464396476746, 'redshifts/outlier_fraction_bin_1': 0.3580174148082733, 'redshifts/outlier_fraction_bin_2': 0.2610837519168854, 'redshifts/outlier_fraction_bin_3': 0.19540229439735413, 'redshifts/outlier_fraction_bin_4': 0.1810940057039261, 'redshifts/outlier_fraction_bin_5': 0.09271348267793655, 'redshifts/outlier_fraction_cata': 0.08895792812108994, 'redshifts/outlier_fraction_cata_bin_0': 0.13265104591846466, 'redshifts/outlier_fraction_cata_bin_1': 0.10023602098226547, 'redshifts/outlier_fraction_cata_bin_2': 0.0805770605802536, 'redshifts/outlier_fraction_cata_bin_3': 0.056539297103881836, 'redshifts/outlier_fraction_cata_bin_4': 0.05363781377673149, 'redshifts/outlier_fraction_cata_bin_5': 0.016407903283834457}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▋ | 883/1563 [1:24:02<1:00:43, 5.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56056.])\n", + "total num of pts: tensor([20348., 13565., 5689., 3222., 1885., 11347.])\n", + "{'redshifts/bias_abs': 0.076176218688488, 'redshifts/bias_abs_bin_0': 0.14551156759262085, 'redshifts/bias_abs_bin_1': 0.09196965396404266, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004389310721307993, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011486740782856941, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 1.2033675034217595e-07, 'redshifts/mse': 0.312075674533844, 'redshifts/mse_bin_0': 0.4374017119407654, 'redshifts/mse_bin_1': 0.36862027645111084, 'redshifts/mse_bin_2': 0.2923349142074585, 'redshifts/mse_bin_3': 0.21963530778884888, 'redshifts/mse_bin_4': 0.21544985473155975, 'redshifts/mse_bin_5': 0.07193778455257416, 'redshifts/nmad': 0.11291393637657166, 'redshifts/nmad_bin_0': 0.21363984048366547, 'redshifts/nmad_bin_1': 0.13544544577598572, 'redshifts/nmad_bin_2': 0.0890577882528305, 'redshifts/nmad_bin_3': 0.07070622593164444, 'redshifts/nmad_bin_4': 0.06293917447328568, 'redshifts/nmad_bin_5': 0.03540985658764839, 'redshifts/outlier_fraction': 0.3273155391216278, 'redshifts/outlier_fraction_bin_0': 0.49061334133148193, 'redshifts/outlier_fraction_bin_1': 0.3579801023006439, 'redshifts/outlier_fraction_bin_2': 0.2613816261291504, 'redshifts/outlier_fraction_bin_3': 0.19522036612033844, 'redshifts/outlier_fraction_bin_4': 0.18090185523033142, 'redshifts/outlier_fraction_bin_5': 0.09271173179149628, 'redshifts/outlier_fraction_cata': 0.08892893046140671, 'redshifts/outlier_fraction_cata_bin_0': 0.13254374265670776, 'redshifts/outlier_fraction_cata_bin_1': 0.10025801509618759, 'redshifts/outlier_fraction_cata_bin_2': 0.08068201690912247, 'redshifts/outlier_fraction_cata_bin_3': 0.05648665502667427, 'redshifts/outlier_fraction_cata_bin_4': 0.05358090251684189, 'redshifts/outlier_fraction_cata_bin_5': 0.016391998156905174}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 884/1563 [1:24:07<59:37, 5.27s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56105.])\n", + "total num of pts: tensor([20366., 13577., 5694., 3226., 1886., 11356.])\n", + "{'redshifts/bias_abs': 0.076176218688488, 'redshifts/bias_abs_bin_0': 0.14554016292095184, 'redshifts/bias_abs_bin_1': 0.09200947731733322, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.0043913801200687885, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011448400095105171, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.006178225856274366, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 1.2033675034217595e-07, 'redshifts/mse': 0.3120723366737366, 'redshifts/mse_bin_0': 0.43752583861351013, 'redshifts/mse_bin_1': 0.3686237931251526, 'redshifts/mse_bin_2': 0.29211413860321045, 'redshifts/mse_bin_3': 0.21936671435832977, 'redshifts/mse_bin_4': 0.21533921360969543, 'redshifts/mse_bin_5': 0.07188133150339127, 'redshifts/nmad': 0.11291086673736572, 'redshifts/nmad_bin_0': 0.2137947976589203, 'redshifts/nmad_bin_1': 0.1354990005493164, 'redshifts/nmad_bin_2': 0.08902254700660706, 'redshifts/nmad_bin_3': 0.07076344639062881, 'redshifts/nmad_bin_4': 0.06293917447328568, 'redshifts/nmad_bin_5': 0.03534524142742157, 'redshifts/outlier_fraction': 0.32733267545700073, 'redshifts/outlier_fraction_bin_0': 0.49071982502937317, 'redshifts/outlier_fraction_bin_1': 0.3581056296825409, 'redshifts/outlier_fraction_bin_2': 0.26115208864212036, 'redshifts/outlier_fraction_bin_3': 0.19497829675674438, 'redshifts/outlier_fraction_bin_4': 0.18080593645572662, 'redshifts/outlier_fraction_bin_5': 0.09263825416564941, 'redshifts/outlier_fraction_cata': 0.08894038200378418, 'redshifts/outlier_fraction_cata_bin_0': 0.13262300193309784, 'redshifts/outlier_fraction_cata_bin_1': 0.10024306178092957, 'redshifts/outlier_fraction_cata_bin_2': 0.08061116933822632, 'redshifts/outlier_fraction_cata_bin_3': 0.05641661584377289, 'redshifts/outlier_fraction_cata_bin_4': 0.05355249345302582, 'redshifts/outlier_fraction_cata_bin_5': 0.01637900620698929}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 885/1563 [1:24:13<1:04:46, 5.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56156.])\n", + "total num of pts: tensor([20386., 13589., 5700., 3227., 1887., 11367.])\n", + "{'redshifts/bias_abs': 0.07620248943567276, 'redshifts/bias_abs_bin_0': 0.14554016292095184, 'redshifts/bias_abs_bin_1': 0.09196965396404266, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004389310721307993, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.011434633284807205, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.006178225856274366, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 5.726977633457864e-06, 'redshifts/mse': 0.3121033012866974, 'redshifts/mse_bin_0': 0.4375648498535156, 'redshifts/mse_bin_1': 0.3687489628791809, 'redshifts/mse_bin_2': 0.291951984167099, 'redshifts/mse_bin_3': 0.21937543153762817, 'redshifts/mse_bin_4': 0.2152252495288849, 'redshifts/mse_bin_5': 0.07189103960990906, 'redshifts/nmad': 0.11294009536504745, 'redshifts/nmad_bin_0': 0.2137947976589203, 'redshifts/nmad_bin_1': 0.13538214564323425, 'redshifts/nmad_bin_2': 0.08902254700660706, 'redshifts/nmad_bin_3': 0.0708002895116806, 'redshifts/nmad_bin_4': 0.06293917447328568, 'redshifts/nmad_bin_5': 0.03540154546499252, 'redshifts/outlier_fraction': 0.327373743057251, 'redshifts/outlier_fraction_bin_0': 0.4907289445400238, 'redshifts/outlier_fraction_bin_1': 0.3580837547779083, 'redshifts/outlier_fraction_bin_2': 0.2610526382923126, 'redshifts/outlier_fraction_bin_3': 0.19522777199745178, 'redshifts/outlier_fraction_bin_4': 0.18071012198925018, 'redshifts/outlier_fraction_bin_5': 0.09281253069639206, 'redshifts/outlier_fraction_cata': 0.08894864469766617, 'redshifts/outlier_fraction_cata_bin_0': 0.1326400488615036, 'redshifts/outlier_fraction_cata_bin_1': 0.10030171275138855, 'redshifts/outlier_fraction_cata_bin_2': 0.08052631467580795, 'redshifts/outlier_fraction_cata_bin_3': 0.056399133056402206, 'redshifts/outlier_fraction_cata_bin_4': 0.053524114191532135, 'redshifts/outlier_fraction_cata_bin_5': 0.016363156959414482}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 886/1563 [1:24:19<1:02:56, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56202.])\n", + "total num of pts: tensor([20401., 13602., 5703., 3232., 1889., 11375.])\n", + "{'redshifts/bias_abs': 0.076176218688488, 'redshifts/bias_abs_bin_0': 0.14561264216899872, 'redshifts/bias_abs_bin_1': 0.0918894037604332, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004396793898195028, 'redshifts/bias_bin_0': 0.028977226465940475, 'redshifts/bias_bin_1': 0.011487627401947975, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.5026287655928172e-05, 'redshifts/mse': 0.312116414308548, 'redshifts/mse_bin_0': 0.43761876225471497, 'redshifts/mse_bin_1': 0.3689342737197876, 'redshifts/mse_bin_2': 0.29180166125297546, 'redshifts/mse_bin_3': 0.21905137598514557, 'redshifts/mse_bin_4': 0.21501722931861877, 'redshifts/mse_bin_5': 0.07184117287397385, 'redshifts/nmad': 0.11290283501148224, 'redshifts/nmad_bin_0': 0.21384546160697937, 'redshifts/nmad_bin_1': 0.13542824983596802, 'redshifts/nmad_bin_2': 0.08894149959087372, 'redshifts/nmad_bin_3': 0.07073502987623215, 'redshifts/nmad_bin_4': 0.06296194344758987, 'redshifts/nmad_bin_5': 0.035382229834795, 'redshifts/outlier_fraction': 0.3273726999759674, 'redshifts/outlier_fraction_bin_0': 0.4908582866191864, 'redshifts/outlier_fraction_bin_1': 0.35810908675193787, 'redshifts/outlier_fraction_bin_2': 0.2609153091907501, 'redshifts/outlier_fraction_bin_3': 0.19492574036121368, 'redshifts/outlier_fraction_bin_4': 0.18051879107952118, 'redshifts/outlier_fraction_bin_5': 0.09274725615978241, 'redshifts/outlier_fraction_cata': 0.0889648050069809, 'redshifts/outlier_fraction_cata_bin_0': 0.1326405555009842, 'redshifts/outlier_fraction_cata_bin_1': 0.10042640566825867, 'redshifts/outlier_fraction_cata_bin_2': 0.08048395812511444, 'redshifts/outlier_fraction_cata_bin_3': 0.05631188303232193, 'redshifts/outlier_fraction_cata_bin_4': 0.053467441350221634, 'redshifts/outlier_fraction_cata_bin_5': 0.016351647675037384}\n", + "total num of pts: tensor([56255.])\n", + "total num of pts: tensor([20421., 13610., 5708., 3234., 1896., 11386.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 887/1563 [1:24:27<1:10:38, 6.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07622277736663818, 'redshifts/bias_abs_bin_0': 0.14554846286773682, 'redshifts/bias_abs_bin_1': 0.09193190187215805, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.0043938555754721165, 'redshifts/bias_bin_0': 0.028977226465940475, 'redshifts/bias_bin_1': 0.011486740782856941, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.4086805094848387e-05, 'redshifts/mse': 0.3122766613960266, 'redshifts/mse_bin_0': 0.43740159273147583, 'redshifts/mse_bin_1': 0.3690487742424011, 'redshifts/mse_bin_2': 0.2917991876602173, 'redshifts/mse_bin_3': 0.21893715858459473, 'redshifts/mse_bin_4': 0.21689829230308533, 'redshifts/mse_bin_5': 0.07266264408826828, 'redshifts/nmad': 0.11294617503881454, 'redshifts/nmad_bin_0': 0.2138131856918335, 'redshifts/nmad_bin_1': 0.13544215261936188, 'redshifts/nmad_bin_2': 0.0887577012181282, 'redshifts/nmad_bin_3': 0.0707634836435318, 'redshifts/nmad_bin_4': 0.06295109540224075, 'redshifts/nmad_bin_5': 0.03536072000861168, 'redshifts/outlier_fraction': 0.327366441488266, 'redshifts/outlier_fraction_bin_0': 0.49076929688453674, 'redshifts/outlier_fraction_bin_1': 0.358192503452301, 'redshifts/outlier_fraction_bin_2': 0.26086196303367615, 'redshifts/outlier_fraction_bin_3': 0.19480518996715546, 'redshifts/outlier_fraction_bin_4': 0.18143460154533386, 'redshifts/outlier_fraction_bin_5': 0.09274547547101974, 'redshifts/outlier_fraction_cata': 0.08898764848709106, 'redshifts/outlier_fraction_cata_bin_0': 0.1325596272945404, 'redshifts/outlier_fraction_cata_bin_1': 0.1004408523440361, 'redshifts/outlier_fraction_cata_bin_2': 0.08058864623308182, 'redshifts/outlier_fraction_cata_bin_3': 0.05627705529332161, 'redshifts/outlier_fraction_cata_bin_4': 0.05432489514350891, 'redshifts/outlier_fraction_cata_bin_5': 0.016423678025603294}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 888/1563 [1:24:32<1:06:55, 5.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56321.])\n", + "total num of pts: tensor([20445., 13627., 5716., 3236., 1898., 11399.])\n", + "{'redshifts/bias_abs': 0.07622567564249039, 'redshifts/bias_abs_bin_0': 0.14554846286773682, 'redshifts/bias_abs_bin_1': 0.09196965396404266, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004391572438180447, 'redshifts/bias_bin_0': 0.028899753466248512, 'redshifts/bias_bin_1': 0.011448400095105171, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 1.5026287655928172e-05, 'redshifts/mse': 0.3120824992656708, 'redshifts/mse_bin_0': 0.4371735155582428, 'redshifts/mse_bin_1': 0.3687657415866852, 'redshifts/mse_bin_2': 0.29161930084228516, 'redshifts/mse_bin_3': 0.2188263088464737, 'redshifts/mse_bin_4': 0.21667425334453583, 'redshifts/mse_bin_5': 0.07258245348930359, 'redshifts/nmad': 0.11295545101165771, 'redshifts/nmad_bin_0': 0.21379901468753815, 'redshifts/nmad_bin_1': 0.13540254533290863, 'redshifts/nmad_bin_2': 0.0889197513461113, 'redshifts/nmad_bin_3': 0.07086052745580673, 'redshifts/nmad_bin_4': 0.06280120462179184, 'redshifts/nmad_bin_5': 0.03534645587205887, 'redshifts/outlier_fraction': 0.3273734450340271, 'redshifts/outlier_fraction_bin_0': 0.49078014492988586, 'redshifts/outlier_fraction_bin_1': 0.3581125736236572, 'redshifts/outlier_fraction_bin_2': 0.26119664311408997, 'redshifts/outlier_fraction_bin_3': 0.19499382376670837, 'redshifts/outlier_fraction_bin_4': 0.1812434196472168, 'redshifts/outlier_fraction_bin_5': 0.09263970702886581, 'redshifts/outlier_fraction_cata': 0.08891887217760086, 'redshifts/outlier_fraction_cata_bin_0': 0.13245292007923126, 'redshifts/outlier_fraction_cata_bin_1': 0.10038893669843674, 'redshifts/outlier_fraction_cata_bin_2': 0.08047585934400558, 'redshifts/outlier_fraction_cata_bin_3': 0.05624227598309517, 'redshifts/outlier_fraction_cata_bin_4': 0.05426764860749245, 'redshifts/outlier_fraction_cata_bin_5': 0.016404947265982628}\n", + "total num of pts: tensor([56385.])\n", + "total num of pts: tensor([20473., 13639., 5720., 3239., 1903., 11411.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 889/1563 [1:24:38<1:07:28, 6.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624876499176025, 'redshifts/bias_abs_bin_0': 0.14554016292095184, 'redshifts/bias_abs_bin_1': 0.09180497378110886, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004380732774734497, 'redshifts/bias_bin_0': 0.028852520510554314, 'redshifts/bias_bin_1': 0.011381042189896107, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 1.5026287655928172e-05, 'redshifts/mse': 0.31225720047950745, 'redshifts/mse_bin_0': 0.43751898407936096, 'redshifts/mse_bin_1': 0.36848732829093933, 'redshifts/mse_bin_2': 0.29264625906944275, 'redshifts/mse_bin_3': 0.21869568526744843, 'redshifts/mse_bin_4': 0.21691367030143738, 'redshifts/mse_bin_5': 0.07259983569383621, 'redshifts/nmad': 0.11297035217285156, 'redshifts/nmad_bin_0': 0.21374163031578064, 'redshifts/nmad_bin_1': 0.13527023792266846, 'redshifts/nmad_bin_2': 0.08902254700660706, 'redshifts/nmad_bin_3': 0.07087959349155426, 'redshifts/nmad_bin_4': 0.06295109540224075, 'redshifts/nmad_bin_5': 0.03534645587205887, 'redshifts/outlier_fraction': 0.3274275064468384, 'redshifts/outlier_fraction_bin_0': 0.4907439053058624, 'redshifts/outlier_fraction_bin_1': 0.35787081718444824, 'redshifts/outlier_fraction_bin_2': 0.2613636255264282, 'redshifts/outlier_fraction_bin_3': 0.19512194395065308, 'redshifts/outlier_fraction_bin_4': 0.18234366178512573, 'redshifts/outlier_fraction_bin_5': 0.09289282560348511, 'redshifts/outlier_fraction_cata': 0.08894209563732147, 'redshifts/outlier_fraction_cata_bin_0': 0.13251599669456482, 'redshifts/outlier_fraction_cata_bin_1': 0.1003006100654602, 'redshifts/outlier_fraction_cata_bin_2': 0.08076923340559006, 'redshifts/outlier_fraction_cata_bin_3': 0.05619018152356148, 'redshifts/outlier_fraction_cata_bin_4': 0.054125066846609116, 'redshifts/outlier_fraction_cata_bin_5': 0.01638769544661045}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 890/1563 [1:24:43<1:04:06, 5.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56442.])\n", + "total num of pts: tensor([20491., 13656., 5722., 3241., 1906., 11426.])\n", + "{'redshifts/bias_abs': 0.07624280452728271, 'redshifts/bias_abs_bin_0': 0.1455247700214386, 'redshifts/bias_abs_bin_1': 0.09180497378110886, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004362435545772314, 'redshifts/bias_bin_0': 0.028835125267505646, 'redshifts/bias_bin_1': 0.011286502704024315, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 5.005950242775725e-06, 'redshifts/mse': 0.3123941719532013, 'redshifts/mse_bin_0': 0.43776363134384155, 'redshifts/mse_bin_1': 0.36891821026802063, 'redshifts/mse_bin_2': 0.2925633192062378, 'redshifts/mse_bin_3': 0.2185610979795456, 'redshifts/mse_bin_4': 0.2166580706834793, 'redshifts/mse_bin_5': 0.0725231021642685, 'redshifts/nmad': 0.112953782081604, 'redshifts/nmad_bin_0': 0.2137286365032196, 'redshifts/nmad_bin_1': 0.1351461261510849, 'redshifts/nmad_bin_2': 0.08902254700660706, 'redshifts/nmad_bin_3': 0.07074441760778427, 'redshifts/nmad_bin_4': 0.06295109540224075, 'redshifts/nmad_bin_5': 0.0353316031396389, 'redshifts/outlier_fraction': 0.32738032937049866, 'redshifts/outlier_fraction_bin_0': 0.4907032251358032, 'redshifts/outlier_fraction_bin_1': 0.3578646779060364, 'redshifts/outlier_fraction_bin_2': 0.26127228140830994, 'redshifts/outlier_fraction_bin_3': 0.1950015425682068, 'redshifts/outlier_fraction_bin_4': 0.1825813204050064, 'redshifts/outlier_fraction_bin_5': 0.09285839647054672, 'redshifts/outlier_fraction_cata': 0.08895857632160187, 'redshifts/outlier_fraction_cata_bin_0': 0.13254599273204803, 'redshifts/outlier_fraction_cata_bin_1': 0.10039543360471725, 'redshifts/outlier_fraction_cata_bin_2': 0.08074100315570831, 'redshifts/outlier_fraction_cata_bin_3': 0.056155506521463394, 'redshifts/outlier_fraction_cata_bin_4': 0.05403987318277359, 'redshifts/outlier_fraction_cata_bin_5': 0.016366181895136833}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 891/1563 [1:24:55<1:24:51, 7.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56487.])\n", + "total num of pts: tensor([20507., 13670., 5726., 3242., 1907., 11435.])\n", + "{'redshifts/bias_abs': 0.07626644521951675, 'redshifts/bias_abs_bin_0': 0.1455247700214386, 'redshifts/bias_abs_bin_1': 0.09180497378110886, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004362151026725769, 'redshifts/bias_bin_0': 0.028863511979579926, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 5.726977633457864e-06, 'redshifts/mse': 0.31259748339653015, 'redshifts/mse_bin_0': 0.4380406439304352, 'redshifts/mse_bin_1': 0.36882418394088745, 'redshifts/mse_bin_2': 0.2931263744831085, 'redshifts/mse_bin_3': 0.21849432587623596, 'redshifts/mse_bin_4': 0.21655389666557312, 'redshifts/mse_bin_5': 0.07286528497934341, 'redshifts/nmad': 0.11299248784780502, 'redshifts/nmad_bin_0': 0.21374526619911194, 'redshifts/nmad_bin_1': 0.135152205824852, 'redshifts/nmad_bin_2': 0.08909910917282104, 'redshifts/nmad_bin_3': 0.07071596384048462, 'redshifts/nmad_bin_4': 0.06298885494470596, 'redshifts/nmad_bin_5': 0.03536474332213402, 'redshifts/outlier_fraction': 0.3274027705192566, 'redshifts/outlier_fraction_bin_0': 0.4907104969024658, 'redshifts/outlier_fraction_bin_1': 0.3577907681465149, 'redshifts/outlier_fraction_bin_2': 0.2614390552043915, 'redshifts/outlier_fraction_bin_3': 0.19494140148162842, 'redshifts/outlier_fraction_bin_4': 0.18248558044433594, 'redshifts/outlier_fraction_bin_5': 0.09296020865440369, 'redshifts/outlier_fraction_cata': 0.08902933448553085, 'redshifts/outlier_fraction_cata_bin_0': 0.13268640637397766, 'redshifts/outlier_fraction_cata_bin_1': 0.1003657653927803, 'redshifts/outlier_fraction_cata_bin_2': 0.0808592364192009, 'redshifts/outlier_fraction_cata_bin_3': 0.056138187646865845, 'redshifts/outlier_fraction_cata_bin_4': 0.05401153489947319, 'redshifts/outlier_fraction_cata_bin_5': 0.016440752893686295}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 892/1563 [1:25:05<1:32:50, 8.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56525.])\n", + "total num of pts: tensor([20528., 13674., 5729., 3243., 1907., 11444.])\n", + "{'redshifts/bias_abs': 0.07629765570163727, 'redshifts/bias_abs_bin_0': 0.14561264216899872, 'redshifts/bias_abs_bin_1': 0.09180497378110886, 'redshifts/bias_abs_bin_2': 0.05996856093406677, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004362435545772314, 'redshifts/bias_bin_0': 0.02893446385860443, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 1.5026287655928172e-05, 'redshifts/mse': 0.3126108944416046, 'redshifts/mse_bin_0': 0.4381285309791565, 'redshifts/mse_bin_1': 0.36879271268844604, 'redshifts/mse_bin_2': 0.2930693030357361, 'redshifts/mse_bin_3': 0.21842700242996216, 'redshifts/mse_bin_4': 0.21655389666557312, 'redshifts/mse_bin_5': 0.07281144708395004, 'redshifts/nmad': 0.1130930557847023, 'redshifts/nmad_bin_0': 0.21389518678188324, 'redshifts/nmad_bin_1': 0.1351563185453415, 'redshifts/nmad_bin_2': 0.0891554057598114, 'redshifts/nmad_bin_3': 0.07055835425853729, 'redshifts/nmad_bin_4': 0.06298885494470596, 'redshifts/nmad_bin_5': 0.035294290632009506, 'redshifts/outlier_fraction': 0.327501118183136, 'redshifts/outlier_fraction_bin_0': 0.490939199924469, 'redshifts/outlier_fraction_bin_1': 0.3578323721885681, 'redshifts/outlier_fraction_bin_2': 0.26147669553756714, 'redshifts/outlier_fraction_bin_3': 0.19488129019737244, 'redshifts/outlier_fraction_bin_4': 0.18248558044433594, 'redshifts/outlier_fraction_bin_5': 0.09288710355758667, 'redshifts/outlier_fraction_cata': 0.08902255445718765, 'redshifts/outlier_fraction_cata_bin_0': 0.13269680738449097, 'redshifts/outlier_fraction_cata_bin_1': 0.10033640265464783, 'redshifts/outlier_fraction_cata_bin_2': 0.08081689476966858, 'redshifts/outlier_fraction_cata_bin_3': 0.05612087622284889, 'redshifts/outlier_fraction_cata_bin_4': 0.05401153489947319, 'redshifts/outlier_fraction_cata_bin_5': 0.016427822411060333}\n", + "total num of pts: tensor([56587.])\n", + "total num of pts: tensor([20553., 13686., 5734., 3245., 1909., 11460.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 893/1563 [1:25:20<1:56:57, 10.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07629750669002533, 'redshifts/bias_abs_bin_0': 0.1457112580537796, 'redshifts/bias_abs_bin_1': 0.09178518503904343, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.0043456098064780235, 'redshifts/bias_bin_0': 0.028899753466248512, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 1.4086805094848387e-05, 'redshifts/mse': 0.3124886155128479, 'redshifts/mse_bin_0': 0.4380905032157898, 'redshifts/mse_bin_1': 0.36854660511016846, 'redshifts/mse_bin_2': 0.29293686151504517, 'redshifts/mse_bin_3': 0.21840450167655945, 'redshifts/mse_bin_4': 0.2163286656141281, 'redshifts/mse_bin_5': 0.07272398471832275, 'redshifts/nmad': 0.11308727413415909, 'redshifts/nmad_bin_0': 0.21396362781524658, 'redshifts/nmad_bin_1': 0.13503503799438477, 'redshifts/nmad_bin_2': 0.08911658078432083, 'redshifts/nmad_bin_3': 0.07074441760778427, 'redshifts/nmad_bin_4': 0.06292875111103058, 'redshifts/nmad_bin_5': 0.035352349281311035, 'redshifts/outlier_fraction': 0.3275133967399597, 'redshifts/outlier_fraction_bin_0': 0.4910718500614166, 'redshifts/outlier_fraction_bin_1': 0.3576647639274597, 'redshifts/outlier_fraction_bin_2': 0.26159748435020447, 'redshifts/outlier_fraction_bin_3': 0.1950693428516388, 'redshifts/outlier_fraction_bin_4': 0.18229439854621887, 'redshifts/outlier_fraction_bin_5': 0.09284467995166779, 'redshifts/outlier_fraction_cata': 0.08897803723812103, 'redshifts/outlier_fraction_cata_bin_0': 0.13268135488033295, 'redshifts/outlier_fraction_cata_bin_1': 0.10024842619895935, 'redshifts/outlier_fraction_cata_bin_2': 0.08074642717838287, 'redshifts/outlier_fraction_cata_bin_3': 0.05608628690242767, 'redshifts/outlier_fraction_cata_bin_4': 0.05395495146512985, 'redshifts/outlier_fraction_cata_bin_5': 0.016404885798692703}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 894/1563 [1:25:39<2:22:26, 12.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56633.])\n", + "total num of pts: tensor([20573., 13694., 5738., 3247., 1911., 11470.])\n", + "{'redshifts/bias_abs': 0.07629765570163727, 'redshifts/bias_abs_bin_0': 0.14574041962623596, 'redshifts/bias_abs_bin_1': 0.09178518503904343, 'redshifts/bias_abs_bin_2': 0.05996856093406677, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004362338688224554, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': 1.4086805094848387e-05, 'redshifts/mse': 0.31262174248695374, 'redshifts/mse_bin_0': 0.4383142590522766, 'redshifts/mse_bin_1': 0.3684215247631073, 'redshifts/mse_bin_2': 0.2937423884868622, 'redshifts/mse_bin_3': 0.21827077865600586, 'redshifts/mse_bin_4': 0.2161073237657547, 'redshifts/mse_bin_5': 0.07279171794652939, 'redshifts/nmad': 0.11309319734573364, 'redshifts/nmad_bin_0': 0.2140330970287323, 'redshifts/nmad_bin_1': 0.13502945005893707, 'redshifts/nmad_bin_2': 0.08919748663902283, 'redshifts/nmad_bin_3': 0.07071596384048462, 'redshifts/nmad_bin_4': 0.0629502683877945, 'redshifts/nmad_bin_5': 0.03536072000861168, 'redshifts/outlier_fraction': 0.327547550201416, 'redshifts/outlier_fraction_bin_0': 0.4911777675151825, 'redshifts/outlier_fraction_bin_1': 0.3576018810272217, 'redshifts/outlier_fraction_bin_2': 0.26176369190216064, 'redshifts/outlier_fraction_bin_3': 0.1949491798877716, 'redshifts/outlier_fraction_bin_4': 0.18210360407829285, 'redshifts/outlier_fraction_bin_5': 0.09285091608762741, 'redshifts/outlier_fraction_cata': 0.08901170641183853, 'redshifts/outlier_fraction_cata_bin_0': 0.13274680078029633, 'redshifts/outlier_fraction_cata_bin_1': 0.10018986463546753, 'redshifts/outlier_fraction_cata_bin_2': 0.08086441457271576, 'redshifts/outlier_fraction_cata_bin_3': 0.05605173856019974, 'redshifts/outlier_fraction_cata_bin_4': 0.05389848351478577, 'redshifts/outlier_fraction_cata_bin_5': 0.016477767378091812}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 895/1563 [1:25:51<2:21:56, 12.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56679.])\n", + "total num of pts: tensor([20591., 13698., 5741., 3249., 1913., 11487.])\n", + "{'redshifts/bias_abs': 0.07629750669002533, 'redshifts/bias_abs_bin_0': 0.1457652896642685, 'redshifts/bias_abs_bin_1': 0.09177171438932419, 'redshifts/bias_abs_bin_2': 0.06020788848400116, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004365354776382446, 'redshifts/bias_bin_0': 0.028993980959057808, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': 1.8636010281625204e-05, 'redshifts/mse': 0.3126356303691864, 'redshifts/mse_bin_0': 0.4384605884552002, 'redshifts/mse_bin_1': 0.36840516328811646, 'redshifts/mse_bin_2': 0.29395049810409546, 'redshifts/mse_bin_3': 0.218282550573349, 'redshifts/mse_bin_4': 0.2160371094942093, 'redshifts/mse_bin_5': 0.07269896566867828, 'redshifts/nmad': 0.11308872699737549, 'redshifts/nmad_bin_0': 0.21405541896820068, 'redshifts/nmad_bin_1': 0.1350133866071701, 'redshifts/nmad_bin_2': 0.08923988789319992, 'redshifts/nmad_bin_3': 0.07074441760778427, 'redshifts/nmad_bin_4': 0.0629502683877945, 'redshifts/nmad_bin_5': 0.03535180911421776, 'redshifts/outlier_fraction': 0.3275463581085205, 'redshifts/outlier_fraction_bin_0': 0.49123403429985046, 'redshifts/outlier_fraction_bin_1': 0.35757043957710266, 'redshifts/outlier_fraction_bin_2': 0.2618010938167572, 'redshifts/outlier_fraction_bin_3': 0.19513696432113647, 'redshifts/outlier_fraction_bin_4': 0.18243595957756042, 'redshifts/outlier_fraction_bin_5': 0.0928005576133728, 'redshifts/outlier_fraction_cata': 0.08902768045663834, 'redshifts/outlier_fraction_cata_bin_0': 0.13277645409107208, 'redshifts/outlier_fraction_cata_bin_1': 0.10023361444473267, 'redshifts/outlier_fraction_cata_bin_2': 0.08099634200334549, 'redshifts/outlier_fraction_cata_bin_3': 0.05601723492145538, 'redshifts/outlier_fraction_cata_bin_4': 0.05384213104844093, 'redshifts/outlier_fraction_cata_bin_5': 0.01645338162779808}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 896/1563 [1:25:56<1:56:53, 10.51s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56732.])\n", + "total num of pts: tensor([20610., 13717., 5747., 3251., 1914., 11493.])\n", + "{'redshifts/bias_abs': 0.0763169378042221, 'redshifts/bias_abs_bin_0': 0.1458388715982437, 'redshifts/bias_abs_bin_1': 0.09180527180433273, 'redshifts/bias_abs_bin_2': 0.06027703732252121, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.00438218517228961, 'redshifts/bias_bin_0': 0.029075583443045616, 'redshifts/bias_bin_1': 0.011203695088624954, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.3128212094306946, 'redshifts/mse_bin_0': 0.43867409229278564, 'redshifts/mse_bin_1': 0.3687753975391388, 'redshifts/mse_bin_2': 0.2940182089805603, 'redshifts/mse_bin_3': 0.21815133094787598, 'redshifts/mse_bin_4': 0.21592435240745544, 'redshifts/mse_bin_5': 0.07267171889543533, 'redshifts/nmad': 0.11311425268650055, 'redshifts/nmad_bin_0': 0.21417640149593353, 'redshifts/nmad_bin_1': 0.13503974676132202, 'redshifts/nmad_bin_2': 0.08929844945669174, 'redshifts/nmad_bin_3': 0.07072978466749191, 'redshifts/nmad_bin_4': 0.0629204586148262, 'redshifts/nmad_bin_5': 0.03533431142568588, 'redshifts/outlier_fraction': 0.32769864797592163, 'redshifts/outlier_fraction_bin_0': 0.4914119243621826, 'redshifts/outlier_fraction_bin_1': 0.35765838623046875, 'redshifts/outlier_fraction_bin_2': 0.2622237801551819, 'redshifts/outlier_fraction_bin_3': 0.19501692056655884, 'redshifts/outlier_fraction_bin_4': 0.18234065175056458, 'redshifts/outlier_fraction_bin_5': 0.09283912181854248, 'redshifts/outlier_fraction_cata': 0.08910315483808517, 'redshifts/outlier_fraction_cata_bin_0': 0.13289664685726166, 'redshifts/outlier_fraction_cata_bin_1': 0.10038638114929199, 'redshifts/outlier_fraction_cata_bin_2': 0.0809117779135704, 'redshifts/outlier_fraction_cata_bin_3': 0.05598277598619461, 'redshifts/outlier_fraction_cata_bin_4': 0.05381400138139725, 'redshifts/outlier_fraction_cata_bin_5': 0.016444792971014977}\n", + "total num of pts: tensor([56784.])\n", + "total num of pts: tensor([20631., 13726., 5751., 3254., 1917., 11505.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 897/1563 [1:26:04<1:47:48, 9.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0763019397854805, 'redshifts/bias_abs_bin_0': 0.14577534794807434, 'redshifts/bias_abs_bin_1': 0.09180527180433273, 'redshifts/bias_abs_bin_2': 0.06027703732252121, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004391572438180447, 'redshifts/bias_bin_0': 0.029075583443045616, 'redshifts/bias_bin_1': 0.011203695088624954, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.31283220648765564, 'redshifts/mse_bin_0': 0.43878474831581116, 'redshifts/mse_bin_1': 0.36890268325805664, 'redshifts/mse_bin_2': 0.29383742809295654, 'redshifts/mse_bin_3': 0.21796399354934692, 'redshifts/mse_bin_4': 0.21560338139533997, 'redshifts/mse_bin_5': 0.07260572910308838, 'redshifts/nmad': 0.11307712644338608, 'redshifts/nmad_bin_0': 0.21410439908504486, 'redshifts/nmad_bin_1': 0.1350647509098053, 'redshifts/nmad_bin_2': 0.0893249586224556, 'redshifts/nmad_bin_3': 0.07074441760778427, 'redshifts/nmad_bin_4': 0.06297526508569717, 'redshifts/nmad_bin_5': 0.03534267842769623, 'redshifts/outlier_fraction': 0.3276275098323822, 'redshifts/outlier_fraction_bin_0': 0.49129951000213623, 'redshifts/outlier_fraction_bin_1': 0.3577881455421448, 'redshifts/outlier_fraction_bin_2': 0.2620413899421692, 'redshifts/outlier_fraction_bin_3': 0.19483712315559387, 'redshifts/outlier_fraction_bin_4': 0.1820552945137024, 'redshifts/outlier_fraction_bin_5': 0.09274228662252426, 'redshifts/outlier_fraction_cata': 0.08910960704088211, 'redshifts/outlier_fraction_cata_bin_0': 0.13290679454803467, 'redshifts/outlier_fraction_cata_bin_1': 0.10046626627445221, 'redshifts/outlier_fraction_cata_bin_2': 0.08085550367832184, 'redshifts/outlier_fraction_cata_bin_3': 0.05593116208910942, 'redshifts/outlier_fraction_cata_bin_4': 0.05372978746891022, 'redshifts/outlier_fraction_cata_bin_5': 0.01642763987183571}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 57%|█████▋ | 898/1563 [1:26:11<1:36:34, 8.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56833.])\n", + "total num of pts: tensor([20647., 13737., 5754., 3259., 1919., 11517.])\n", + "{'redshifts/bias_abs': 0.0763019397854805, 'redshifts/bias_abs_bin_0': 0.1458388715982437, 'redshifts/bias_abs_bin_1': 0.09193190187215805, 'redshifts/bias_abs_bin_2': 0.06020788848400116, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004393754061311483, 'redshifts/bias_bin_0': 0.029021700844168663, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3128368556499481, 'redshifts/mse_bin_0': 0.4388892948627472, 'redshifts/mse_bin_1': 0.3690103590488434, 'redshifts/mse_bin_2': 0.2936873137950897, 'redshifts/mse_bin_3': 0.21772515773773193, 'redshifts/mse_bin_4': 0.2154117077589035, 'redshifts/mse_bin_5': 0.07257203757762909, 'redshifts/nmad': 0.11307388544082642, 'redshifts/nmad_bin_0': 0.21417918801307678, 'redshifts/nmad_bin_1': 0.13514551520347595, 'redshifts/nmad_bin_2': 0.08923988789319992, 'redshifts/nmad_bin_3': 0.07106565684080124, 'redshifts/nmad_bin_4': 0.06297526508569717, 'redshifts/nmad_bin_5': 0.03531700745224953, 'redshifts/outlier_fraction': 0.32766175270080566, 'redshifts/outlier_fraction_bin_0': 0.49140310287475586, 'redshifts/outlier_fraction_bin_1': 0.35793840885162354, 'redshifts/outlier_fraction_bin_2': 0.261904776096344, 'redshifts/outlier_fraction_bin_3': 0.1945382058620453, 'redshifts/outlier_fraction_bin_4': 0.18186555802822113, 'redshifts/outlier_fraction_bin_5': 0.09281931072473526, 'redshifts/outlier_fraction_cata': 0.0891207605600357, 'redshifts/outlier_fraction_cata_bin_0': 0.132949098944664, 'redshifts/outlier_fraction_cata_bin_1': 0.10053141415119171, 'redshifts/outlier_fraction_cata_bin_2': 0.08081334829330444, 'redshifts/outlier_fraction_cata_bin_3': 0.05584535002708435, 'redshifts/outlier_fraction_cata_bin_4': 0.05367378890514374, 'redshifts/outlier_fraction_cata_bin_5': 0.016410524025559425}\n", + "total num of pts: tensor([56876.])\n", + "total num of pts: tensor([20664., 13748., 5756., 3262., 1921., 11525.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 899/1563 [1:26:16<1:25:52, 7.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0763169378042221, 'redshifts/bias_abs_bin_0': 0.14591693878173828, 'redshifts/bias_abs_bin_1': 0.09180527180433273, 'redshifts/bias_abs_bin_2': 0.060062289237976074, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.028989611193537712, 'redshifts/bias_bin_1': 0.011152169667184353, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.3128388226032257, 'redshifts/mse_bin_0': 0.43890246748924255, 'redshifts/mse_bin_1': 0.3687753975391388, 'redshifts/mse_bin_2': 0.29358527064323425, 'redshifts/mse_bin_3': 0.2189778983592987, 'redshifts/mse_bin_4': 0.21519963443279266, 'redshifts/mse_bin_5': 0.07254236936569214, 'redshifts/nmad': 0.1131141185760498, 'redshifts/nmad_bin_0': 0.21440798044204712, 'redshifts/nmad_bin_1': 0.135073721408844, 'redshifts/nmad_bin_2': 0.08923988789319992, 'redshifts/nmad_bin_3': 0.07093136757612228, 'redshifts/nmad_bin_4': 0.06299132853746414, 'redshifts/nmad_bin_5': 0.035334065556526184, 'redshifts/outlier_fraction': 0.32771292328834534, 'redshifts/outlier_fraction_bin_0': 0.4915311634540558, 'redshifts/outlier_fraction_bin_1': 0.3577975034713745, 'redshifts/outlier_fraction_bin_2': 0.261813759803772, 'redshifts/outlier_fraction_bin_3': 0.19497241079807281, 'redshifts/outlier_fraction_bin_4': 0.1816762089729309, 'redshifts/outlier_fraction_bin_5': 0.09292841702699661, 'redshifts/outlier_fraction_cata': 0.08912371098995209, 'redshifts/outlier_fraction_cata_bin_0': 0.13298490643501282, 'redshifts/outlier_fraction_cata_bin_1': 0.10045097768306732, 'redshifts/outlier_fraction_cata_bin_2': 0.08078526705503464, 'redshifts/outlier_fraction_cata_bin_3': 0.056100551038980484, 'redshifts/outlier_fraction_cata_bin_4': 0.05361790582537651, 'redshifts/outlier_fraction_cata_bin_5': 0.01639913208782673}\n", + "total num of pts: tensor([56935.])\n", + "total num of pts: tensor([20689., 13766., 5763., 3264., 1922., 11531.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 900/1563 [1:26:25<1:30:19, 8.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14590410888195038, 'redshifts/bias_abs_bin_1': 0.09200947731733322, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004351495299488306, 'redshifts/bias_bin_0': 0.028977226465940475, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': 1.9114862880087458e-05, 'redshifts/mse': 0.31290578842163086, 'redshifts/mse_bin_0': 0.4389781653881073, 'redshifts/mse_bin_1': 0.36887112259864807, 'redshifts/mse_bin_2': 0.29323962330818176, 'redshifts/mse_bin_3': 0.21884441375732422, 'redshifts/mse_bin_4': 0.21509398519992828, 'redshifts/mse_bin_5': 0.07265153527259827, 'redshifts/nmad': 0.11313654482364655, 'redshifts/nmad_bin_0': 0.21442633867263794, 'redshifts/nmad_bin_1': 0.13520914316177368, 'redshifts/nmad_bin_2': 0.08907418698072433, 'redshifts/nmad_bin_3': 0.07089737057685852, 'redshifts/nmad_bin_4': 0.06299132853746414, 'redshifts/nmad_bin_5': 0.03534489870071411, 'redshifts/outlier_fraction': 0.3277948498725891, 'redshifts/outlier_fraction_bin_0': 0.4914689064025879, 'redshifts/outlier_fraction_bin_1': 0.35812872648239136, 'redshifts/outlier_fraction_bin_2': 0.2616692781448364, 'redshifts/outlier_fraction_bin_3': 0.19485294818878174, 'redshifts/outlier_fraction_bin_4': 0.18158169090747833, 'redshifts/outlier_fraction_bin_5': 0.09296678751707077, 'redshifts/outlier_fraction_cata': 0.08915429562330246, 'redshifts/outlier_fraction_cata_bin_0': 0.13301753997802734, 'redshifts/outlier_fraction_cata_bin_1': 0.10046491026878357, 'redshifts/outlier_fraction_cata_bin_2': 0.08068714290857315, 'redshifts/outlier_fraction_cata_bin_3': 0.056066177785396576, 'redshifts/outlier_fraction_cata_bin_4': 0.05359001085162163, 'redshifts/outlier_fraction_cata_bin_5': 0.016477322205901146}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 901/1563 [1:26:31<1:20:28, 7.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([56996.])\n", + "total num of pts: tensor([20713., 13780., 5770., 3267., 1923., 11543.])\n", + "{'redshifts/bias_abs': 0.07638644427061081, 'redshifts/bias_abs_bin_0': 0.14596180617809296, 'redshifts/bias_abs_bin_1': 0.09204958379268646, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': 1.8636010281625204e-05, 'redshifts/mse': 0.31304365396499634, 'redshifts/mse_bin_0': 0.4392835795879364, 'redshifts/mse_bin_1': 0.3687617778778076, 'redshifts/mse_bin_2': 0.29397502541542053, 'redshifts/mse_bin_3': 0.21866923570632935, 'redshifts/mse_bin_4': 0.21499031782150269, 'redshifts/mse_bin_5': 0.07257863879203796, 'redshifts/nmad': 0.11314921081066132, 'redshifts/nmad_bin_0': 0.2144492268562317, 'redshifts/nmad_bin_1': 0.1352749913930893, 'redshifts/nmad_bin_2': 0.08907418698072433, 'redshifts/nmad_bin_3': 0.07093491405248642, 'redshifts/nmad_bin_4': 0.06302406638860703, 'redshifts/nmad_bin_5': 0.03534560650587082, 'redshifts/outlier_fraction': 0.3278651237487793, 'redshifts/outlier_fraction_bin_0': 0.4916718900203705, 'redshifts/outlier_fraction_bin_1': 0.35805514454841614, 'redshifts/outlier_fraction_bin_2': 0.2620450556278229, 'redshifts/outlier_fraction_bin_3': 0.19467401504516602, 'redshifts/outlier_fraction_bin_4': 0.18148726224899292, 'redshifts/outlier_fraction_bin_5': 0.09287013858556747, 'redshifts/outlier_fraction_cata': 0.08921678364276886, 'redshifts/outlier_fraction_cata_bin_0': 0.13315309584140778, 'redshifts/outlier_fraction_cata_bin_1': 0.10050798207521439, 'redshifts/outlier_fraction_cata_bin_2': 0.08076256513595581, 'redshifts/outlier_fraction_cata_bin_3': 0.056014690548181534, 'redshifts/outlier_fraction_cata_bin_4': 0.053562141954898834, 'redshifts/outlier_fraction_cata_bin_5': 0.01646019145846367}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 902/1563 [1:26:37<1:15:41, 6.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57055.])\n", + "total num of pts: tensor([20737., 13792., 5772., 3272., 1925., 11557.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14595437049865723, 'redshifts/bias_abs_bin_1': 0.09204570949077606, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004362338688224554, 'redshifts/bias_bin_0': 0.029004806652665138, 'redshifts/bias_bin_1': 0.011133014224469662, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.3132132589817047, 'redshifts/mse_bin_0': 0.4396711587905884, 'redshifts/mse_bin_1': 0.3690784275531769, 'redshifts/mse_bin_2': 0.2938755750656128, 'redshifts/mse_bin_3': 0.21840421855449677, 'redshifts/mse_bin_4': 0.21476790308952332, 'redshifts/mse_bin_5': 0.07253655791282654, 'redshifts/nmad': 0.11313838511705399, 'redshifts/nmad_bin_0': 0.21441082656383514, 'redshifts/nmad_bin_1': 0.13525639474391937, 'redshifts/nmad_bin_2': 0.0890502780675888, 'redshifts/nmad_bin_3': 0.07104671746492386, 'redshifts/nmad_bin_4': 0.06299132853746414, 'redshifts/nmad_bin_5': 0.035275690257549286, 'redshifts/outlier_fraction': 0.32778897881507874, 'redshifts/outlier_fraction_bin_0': 0.4915850758552551, 'redshifts/outlier_fraction_bin_1': 0.35796114802360535, 'redshifts/outlier_fraction_bin_2': 0.26195424795150757, 'redshifts/outlier_fraction_bin_3': 0.19468215107917786, 'redshifts/outlier_fraction_bin_4': 0.18129870295524597, 'redshifts/outlier_fraction_bin_5': 0.0928441658616066, 'redshifts/outlier_fraction_cata': 0.0892472192645073, 'redshifts/outlier_fraction_cata_bin_0': 0.13324010372161865, 'redshifts/outlier_fraction_cata_bin_1': 0.10056554526090622, 'redshifts/outlier_fraction_cata_bin_2': 0.08073458075523376, 'redshifts/outlier_fraction_cata_bin_3': 0.055929094552993774, 'redshifts/outlier_fraction_cata_bin_4': 0.05350649356842041, 'redshifts/outlier_fraction_cata_bin_5': 0.01644025184214115}\n", + "total num of pts: tensor([57107.])\n", + "total num of pts: tensor([20756., 13806., 5776., 3275., 1926., 11568.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 903/1563 [1:26:48<1:31:27, 8.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07638241350650787, 'redshifts/bias_abs_bin_0': 0.14596201479434967, 'redshifts/bias_abs_bin_1': 0.09193190187215805, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.0043456098064780235, 'redshifts/bias_bin_0': 0.029004806652665138, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.31328505277633667, 'redshifts/mse_bin_0': 0.4397844076156616, 'redshifts/mse_bin_1': 0.36901330947875977, 'redshifts/mse_bin_2': 0.2944401800632477, 'redshifts/mse_bin_3': 0.21822164952754974, 'redshifts/mse_bin_4': 0.21480219066143036, 'redshifts/mse_bin_5': 0.0725223571062088, 'redshifts/nmad': 0.1131429597735405, 'redshifts/nmad_bin_0': 0.21456046402454376, 'redshifts/nmad_bin_1': 0.13530394434928894, 'redshifts/nmad_bin_2': 0.08895183354616165, 'redshifts/nmad_bin_3': 0.07104473561048508, 'redshifts/nmad_bin_4': 0.06292875111103058, 'redshifts/nmad_bin_5': 0.03526743873953819, 'redshifts/outlier_fraction': 0.3278757333755493, 'redshifts/outlier_fraction_bin_0': 0.4917614161968231, 'redshifts/outlier_fraction_bin_1': 0.357887864112854, 'redshifts/outlier_fraction_bin_2': 0.2619459927082062, 'redshifts/outlier_fraction_bin_3': 0.19480915367603302, 'redshifts/outlier_fraction_bin_4': 0.18172377347946167, 'redshifts/outlier_fraction_bin_5': 0.09292876720428467, 'redshifts/outlier_fraction_cata': 0.08927101641893387, 'redshifts/outlier_fraction_cata_bin_0': 0.13326266407966614, 'redshifts/outlier_fraction_cata_bin_1': 0.10060843080282211, 'redshifts/outlier_fraction_cata_bin_2': 0.08085180073976517, 'redshifts/outlier_fraction_cata_bin_3': 0.055877864360809326, 'redshifts/outlier_fraction_cata_bin_4': 0.05347871407866478, 'redshifts/outlier_fraction_cata_bin_5': 0.016424620524048805}\n", + "total num of pts: tensor([57159.])\n", + "total num of pts: tensor([20776., 13815., 5783., 3278., 1926., 11581.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 904/1563 [1:26:56<1:30:52, 8.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07634434849023819, 'redshifts/bias_abs_bin_0': 0.1459953337907791, 'redshifts/bias_abs_bin_1': 0.09193190187215805, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023761305958032608, 'redshifts/bias': 0.004350179340690374, 'redshifts/bias_bin_0': 0.02909020334482193, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006412249058485031, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.31323790550231934, 'redshifts/mse_bin_0': 0.43994930386543274, 'redshifts/mse_bin_1': 0.36886200308799744, 'redshifts/mse_bin_2': 0.2941003739833832, 'redshifts/mse_bin_3': 0.21802766621112823, 'redshifts/mse_bin_4': 0.21480219066143036, 'redshifts/mse_bin_5': 0.07244322448968887, 'redshifts/nmad': 0.11312517523765564, 'redshifts/nmad_bin_0': 0.21453052759170532, 'redshifts/nmad_bin_1': 0.13531053066253662, 'redshifts/nmad_bin_2': 0.08884674310684204, 'redshifts/nmad_bin_3': 0.07109373807907104, 'redshifts/nmad_bin_4': 0.06292875111103058, 'redshifts/nmad_bin_5': 0.03524468094110489, 'redshifts/outlier_fraction': 0.3278398811817169, 'redshifts/outlier_fraction_bin_0': 0.4918174743652344, 'redshifts/outlier_fraction_bin_1': 0.3578718900680542, 'redshifts/outlier_fraction_bin_2': 0.2618018388748169, 'redshifts/outlier_fraction_bin_3': 0.19463087618350983, 'redshifts/outlier_fraction_bin_4': 0.18172377347946167, 'redshifts/outlier_fraction_bin_5': 0.09282445162534714, 'redshifts/outlier_fraction_cata': 0.08924228698015213, 'redshifts/outlier_fraction_cata_bin_0': 0.13327878713607788, 'redshifts/outlier_fraction_cata_bin_1': 0.10054288804531097, 'redshifts/outlier_fraction_cata_bin_2': 0.08075393736362457, 'redshifts/outlier_fraction_cata_bin_3': 0.05582672357559204, 'redshifts/outlier_fraction_cata_bin_4': 0.05347871407866478, 'redshifts/outlier_fraction_cata_bin_5': 0.016406182199716568}\n", + "total num of pts: tensor([57210.])\n", + "total num of pts: tensor([20794., 13826., 5788., 3280., 1928., 11594.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 905/1563 [1:27:08<1:42:08, 9.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0763169378042221, 'redshifts/bias_abs_bin_0': 0.1459953337907791, 'redshifts/bias_abs_bin_1': 0.09180527180433273, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004359842743724585, 'redshifts/bias_bin_0': 0.02909020334482193, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.31334060430526733, 'redshifts/mse_bin_0': 0.4401627480983734, 'redshifts/mse_bin_1': 0.3690319359302521, 'redshifts/mse_bin_2': 0.29396742582321167, 'redshifts/mse_bin_3': 0.21809625625610352, 'redshifts/mse_bin_4': 0.2154158055782318, 'redshifts/mse_bin_5': 0.07237173616886139, 'redshifts/nmad': 0.11313004046678543, 'redshifts/nmad_bin_0': 0.2145981639623642, 'redshifts/nmad_bin_1': 0.13522367179393768, 'redshifts/nmad_bin_2': 0.08884674310684204, 'redshifts/nmad_bin_3': 0.07111572474241257, 'redshifts/nmad_bin_4': 0.06292875111103058, 'redshifts/nmad_bin_5': 0.03523722663521767, 'redshifts/outlier_fraction': 0.32787972688674927, 'redshifts/outlier_fraction_bin_0': 0.49182456731796265, 'redshifts/outlier_fraction_bin_1': 0.3578764498233795, 'redshifts/outlier_fraction_bin_2': 0.261921226978302, 'redshifts/outlier_fraction_bin_3': 0.19481706619262695, 'redshifts/outlier_fraction_bin_4': 0.18205393850803375, 'redshifts/outlier_fraction_bin_5': 0.09289287775754929, 'redshifts/outlier_fraction_cata': 0.08930256962776184, 'redshifts/outlier_fraction_cata_bin_0': 0.13340386748313904, 'redshifts/outlier_fraction_cata_bin_1': 0.10060755163431168, 'redshifts/outlier_fraction_cata_bin_2': 0.08068417757749557, 'redshifts/outlier_fraction_cata_bin_3': 0.055792681872844696, 'redshifts/outlier_fraction_cata_bin_4': 0.05394190922379494, 'redshifts/outlier_fraction_cata_bin_5': 0.016387786716222763}\n", + "total num of pts: tensor([57274.])\n", + "total num of pts: tensor([20817., 13847., 5792., 3283., 1930., 11605.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 906/1563 [1:27:23<1:59:21, 10.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07632797956466675, 'redshifts/bias_abs_bin_0': 0.14600995182991028, 'redshifts/bias_abs_bin_1': 0.09193190187215805, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.029021700844168663, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3133772015571594, 'redshifts/mse_bin_0': 0.44028595089912415, 'redshifts/mse_bin_1': 0.3688824772834778, 'redshifts/mse_bin_2': 0.29388245940208435, 'redshifts/mse_bin_3': 0.21882084012031555, 'redshifts/mse_bin_4': 0.21519801020622253, 'redshifts/mse_bin_5': 0.07230806350708008, 'redshifts/nmad': 0.1131322905421257, 'redshifts/nmad_bin_0': 0.21466736495494843, 'redshifts/nmad_bin_1': 0.13530589640140533, 'redshifts/nmad_bin_2': 0.08895183354616165, 'redshifts/nmad_bin_3': 0.07115708291530609, 'redshifts/nmad_bin_4': 0.06292875111103058, 'redshifts/nmad_bin_5': 0.0352325364947319, 'redshifts/outlier_fraction': 0.3279323875904083, 'redshifts/outlier_fraction_bin_0': 0.4918576180934906, 'redshifts/outlier_fraction_bin_1': 0.35798367857933044, 'redshifts/outlier_fraction_bin_2': 0.2619129717350006, 'redshifts/outlier_fraction_bin_3': 0.19524824619293213, 'redshifts/outlier_fraction_bin_4': 0.18186528980731964, 'redshifts/outlier_fraction_bin_5': 0.09280482679605484, 'redshifts/outlier_fraction_cata': 0.08930753916501999, 'redshifts/outlier_fraction_cata_bin_0': 0.13344863057136536, 'redshifts/outlier_fraction_cata_bin_1': 0.10052718967199326, 'redshifts/outlier_fraction_cata_bin_2': 0.08062845468521118, 'redshifts/outlier_fraction_cata_bin_3': 0.05604629963636398, 'redshifts/outlier_fraction_cata_bin_4': 0.053886011242866516, 'redshifts/outlier_fraction_cata_bin_5': 0.016372254118323326}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 907/1563 [1:27:34<2:01:04, 11.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57339.])\n", + "total num of pts: tensor([20844., 13864., 5796., 3287., 1932., 11616.])\n", + "{'redshifts/bias_abs': 0.07634434849023819, 'redshifts/bias_abs_bin_0': 0.14607885479927063, 'redshifts/bias_abs_bin_1': 0.09180448949337006, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004350179340690374, 'redshifts/bias_bin_0': 0.02909020334482193, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006412249058485031, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3132699131965637, 'redshifts/mse_bin_0': 0.4403112530708313, 'redshifts/mse_bin_1': 0.36849117279052734, 'redshifts/mse_bin_2': 0.2938114404678345, 'redshifts/mse_bin_3': 0.2186010479927063, 'redshifts/mse_bin_4': 0.2149766981601715, 'redshifts/mse_bin_5': 0.07224272936582565, 'redshifts/nmad': 0.11314085125923157, 'redshifts/nmad_bin_0': 0.21474623680114746, 'redshifts/nmad_bin_1': 0.13526666164398193, 'redshifts/nmad_bin_2': 0.08907418698072433, 'redshifts/nmad_bin_3': 0.07120752334594727, 'redshifts/nmad_bin_4': 0.06278443336486816, 'redshifts/nmad_bin_5': 0.0352325364947319, 'redshifts/outlier_fraction': 0.327926903963089, 'redshifts/outlier_fraction_bin_0': 0.4920360743999481, 'redshifts/outlier_fraction_bin_1': 0.3576889932155609, 'redshifts/outlier_fraction_bin_2': 0.26207730174064636, 'redshifts/outlier_fraction_bin_3': 0.19501064717769623, 'redshifts/outlier_fraction_bin_4': 0.18167701363563538, 'redshifts/outlier_fraction_bin_5': 0.09271693974733353, 'redshifts/outlier_fraction_cata': 0.08929350227117538, 'redshifts/outlier_fraction_cata_bin_0': 0.1335156410932541, 'redshifts/outlier_fraction_cata_bin_1': 0.10040392726659775, 'redshifts/outlier_fraction_cata_bin_2': 0.08057280629873276, 'redshifts/outlier_fraction_cata_bin_3': 0.05597809702157974, 'redshifts/outlier_fraction_cata_bin_4': 0.05383022874593735, 'redshifts/outlier_fraction_cata_bin_5': 0.016356749460101128}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 908/1563 [1:27:40<1:43:19, 9.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57396.])\n", + "total num of pts: tensor([20865., 13879., 5799., 3290., 1934., 11629.])\n", + "{'redshifts/bias_abs': 0.07635084539651871, 'redshifts/bias_abs_bin_0': 0.146129310131073, 'redshifts/bias_abs_bin_1': 0.09180448949337006, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023761305958032608, 'redshifts/bias': 0.004362853243947029, 'redshifts/bias_bin_0': 0.029130849987268448, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006547600030899048, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': 4.273739250493236e-05, 'redshifts/mse': 0.31317922472953796, 'redshifts/mse_bin_0': 0.440322607755661, 'redshifts/mse_bin_1': 0.3682962954044342, 'redshifts/mse_bin_2': 0.2936648726463318, 'redshifts/mse_bin_3': 0.2184593379497528, 'redshifts/mse_bin_4': 0.2147858738899231, 'redshifts/mse_bin_5': 0.07216695696115494, 'redshifts/nmad': 0.11314215511083603, 'redshifts/nmad_bin_0': 0.21500465273857117, 'redshifts/nmad_bin_1': 0.13522367179393768, 'redshifts/nmad_bin_2': 0.08892792463302612, 'redshifts/nmad_bin_3': 0.07139420509338379, 'redshifts/nmad_bin_4': 0.06299132853746414, 'redshifts/nmad_bin_5': 0.03523755073547363, 'redshifts/outlier_fraction': 0.32796710729599, 'redshifts/outlier_fraction_bin_0': 0.49225977063179016, 'redshifts/outlier_fraction_bin_1': 0.3576626479625702, 'redshifts/outlier_fraction_bin_2': 0.26194170117378235, 'redshifts/outlier_fraction_bin_3': 0.19513678550720215, 'redshifts/outlier_fraction_bin_4': 0.18148913979530334, 'redshifts/outlier_fraction_bin_5': 0.09261329472064972, 'redshifts/outlier_fraction_cata': 0.08925709128379822, 'redshifts/outlier_fraction_cata_bin_0': 0.1335250437259674, 'redshifts/outlier_fraction_cata_bin_1': 0.10029540956020355, 'redshifts/outlier_fraction_cata_bin_2': 0.08053112775087357, 'redshifts/outlier_fraction_cata_bin_3': 0.05592705309391022, 'redshifts/outlier_fraction_cata_bin_4': 0.05377456173300743, 'redshifts/outlier_fraction_cata_bin_5': 0.016338463872671127}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 909/1563 [1:27:45<1:29:46, 8.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57440.])\n", + "total num of pts: tensor([20887., 13889., 5804., 3291., 1935., 11634.])\n", + "{'redshifts/bias_abs': 0.07635212689638138, 'redshifts/bias_abs_bin_0': 0.14626654982566833, 'redshifts/bias_abs_bin_1': 0.09180497378110886, 'redshifts/bias_abs_bin_2': 0.05996856093406677, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004363330081105232, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.006412249058485031, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.31332385540008545, 'redshifts/mse_bin_0': 0.4405977129936218, 'redshifts/mse_bin_1': 0.3683193027973175, 'redshifts/mse_bin_2': 0.29386401176452637, 'redshifts/mse_bin_3': 0.21839605271816254, 'redshifts/mse_bin_4': 0.21467489004135132, 'redshifts/mse_bin_5': 0.07213742285966873, 'redshifts/nmad': 0.11314740031957626, 'redshifts/nmad_bin_0': 0.21498173475265503, 'redshifts/nmad_bin_1': 0.13531368970870972, 'redshifts/nmad_bin_2': 0.08917023986577988, 'redshifts/nmad_bin_3': 0.07137895375490189, 'redshifts/nmad_bin_4': 0.06299906224012375, 'redshifts/nmad_bin_5': 0.03522973880171776, 'redshifts/outlier_fraction': 0.32806405425071716, 'redshifts/outlier_fraction_bin_0': 0.49236366152763367, 'redshifts/outlier_fraction_bin_1': 0.35783714056015015, 'redshifts/outlier_fraction_bin_2': 0.2618883550167084, 'redshifts/outlier_fraction_bin_3': 0.19507747888565063, 'redshifts/outlier_fraction_bin_4': 0.18139535188674927, 'redshifts/outlier_fraction_bin_5': 0.09257349371910095, 'redshifts/outlier_fraction_cata': 0.08932799100875854, 'redshifts/outlier_fraction_cata_bin_0': 0.13367165625095367, 'redshifts/outlier_fraction_cata_bin_1': 0.10029520094394684, 'redshifts/outlier_fraction_cata_bin_2': 0.08063404262065887, 'redshifts/outlier_fraction_cata_bin_3': 0.055910058319568634, 'redshifts/outlier_fraction_cata_bin_4': 0.053746771067380905, 'redshifts/outlier_fraction_cata_bin_5': 0.016331441700458527}\n", + "total num of pts: tensor([57488.])\n", + "total num of pts: tensor([20904., 13897., 5810., 3298., 1935., 11644.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 910/1563 [1:27:52<1:23:23, 7.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14611220359802246, 'redshifts/bias_abs_bin_1': 0.0918894037604332, 'redshifts/bias_abs_bin_2': 0.060062289237976074, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023761305958032608, 'redshifts/bias': 0.004363330081105232, 'redshifts/bias_bin_0': 0.029136130586266518, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.31317609548568726, 'redshifts/mse_bin_0': 0.4403704106807709, 'redshifts/mse_bin_1': 0.36826401948928833, 'redshifts/mse_bin_2': 0.29372021555900574, 'redshifts/mse_bin_3': 0.21798528730869293, 'redshifts/mse_bin_4': 0.21467489004135132, 'redshifts/mse_bin_5': 0.07212071865797043, 'redshifts/nmad': 0.11314286291599274, 'redshifts/nmad_bin_0': 0.21466627717018127, 'redshifts/nmad_bin_1': 0.13531531393527985, 'redshifts/nmad_bin_2': 0.08917023986577988, 'redshifts/nmad_bin_3': 0.0710320696234703, 'redshifts/nmad_bin_4': 0.06299906224012375, 'redshifts/nmad_bin_5': 0.035233624279499054, 'redshifts/outlier_fraction': 0.3280162811279297, 'redshifts/outlier_fraction_bin_0': 0.492154598236084, 'redshifts/outlier_fraction_bin_1': 0.35791897773742676, 'redshifts/outlier_fraction_bin_2': 0.26213425397872925, 'redshifts/outlier_fraction_bin_3': 0.1949666440486908, 'redshifts/outlier_fraction_bin_4': 0.18139535188674927, 'redshifts/outlier_fraction_bin_5': 0.09257987141609192, 'redshifts/outlier_fraction_cata': 0.08928819745779037, 'redshifts/outlier_fraction_cata_bin_0': 0.1336107850074768, 'redshifts/outlier_fraction_cata_bin_1': 0.10030941665172577, 'redshifts/outlier_fraction_cata_bin_2': 0.08055077493190765, 'redshifts/outlier_fraction_cata_bin_3': 0.05579138919711113, 'redshifts/outlier_fraction_cata_bin_4': 0.053746771067380905, 'redshifts/outlier_fraction_cata_bin_5': 0.016317415982484818}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 911/1563 [1:27:57<1:16:46, 7.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57547.])\n", + "total num of pts: tensor([20924., 13912., 5819., 3301., 1937., 11654.])\n", + "{'redshifts/bias_abs': 0.07635084539651871, 'redshifts/bias_abs_bin_0': 0.14605243504047394, 'redshifts/bias_abs_bin_1': 0.09193190187215805, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004362435545772314, 'redshifts/bias_bin_0': 0.029130849987268448, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.3130037188529968, 'redshifts/mse_bin_0': 0.44020408391952515, 'redshifts/mse_bin_1': 0.3679826855659485, 'redshifts/mse_bin_2': 0.2935035228729248, 'redshifts/mse_bin_3': 0.21783939003944397, 'redshifts/mse_bin_4': 0.21445350348949432, 'redshifts/mse_bin_5': 0.07206451147794724, 'redshifts/nmad': 0.11314386874437332, 'redshifts/nmad_bin_0': 0.21458852291107178, 'redshifts/nmad_bin_1': 0.1353553831577301, 'redshifts/nmad_bin_2': 0.0890502780675888, 'redshifts/nmad_bin_3': 0.07131654769182205, 'redshifts/nmad_bin_4': 0.06297759711742401, 'redshifts/nmad_bin_5': 0.03525708243250847, 'redshifts/outlier_fraction': 0.3279232680797577, 'redshifts/outlier_fraction_bin_0': 0.491970956325531, 'redshifts/outlier_fraction_bin_1': 0.3578924536705017, 'redshifts/outlier_fraction_bin_2': 0.26207253336906433, 'redshifts/outlier_fraction_bin_3': 0.19509239494800568, 'redshifts/outlier_fraction_bin_4': 0.1812080591917038, 'redshifts/outlier_fraction_bin_5': 0.09250042587518692, 'redshifts/outlier_fraction_cata': 0.08924879133701324, 'redshifts/outlier_fraction_cata_bin_0': 0.13357867300510406, 'redshifts/outlier_fraction_cata_bin_1': 0.10020126402378082, 'redshifts/outlier_fraction_cata_bin_2': 0.08059804141521454, 'redshifts/outlier_fraction_cata_bin_3': 0.055740684270858765, 'redshifts/outlier_fraction_cata_bin_4': 0.05369127541780472, 'redshifts/outlier_fraction_cata_bin_5': 0.01630341447889805}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 912/1563 [1:28:02<1:09:39, 6.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57601.])\n", + "total num of pts: tensor([20947., 13927., 5821., 3303., 1939., 11664.])\n", + "{'redshifts/bias_abs': 0.07635871320962906, 'redshifts/bias_abs_bin_0': 0.14596180617809296, 'redshifts/bias_abs_bin_1': 0.09200947731733322, 'redshifts/bias_abs_bin_2': 0.05996856093406677, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004380507860332727, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.31292179226875305, 'redshifts/mse_bin_0': 0.44005388021469116, 'redshifts/mse_bin_1': 0.36789068579673767, 'redshifts/mse_bin_2': 0.293473482131958, 'redshifts/mse_bin_3': 0.21780367195606232, 'redshifts/mse_bin_4': 0.21425090730190277, 'redshifts/mse_bin_5': 0.07201994955539703, 'redshifts/nmad': 0.11317014694213867, 'redshifts/nmad_bin_0': 0.21442177891731262, 'redshifts/nmad_bin_1': 0.13539741933345795, 'redshifts/nmad_bin_2': 0.0891735851764679, 'redshifts/nmad_bin_3': 0.07142259925603867, 'redshifts/nmad_bin_4': 0.06297759711742401, 'redshifts/nmad_bin_5': 0.03525708243250847, 'redshifts/outlier_fraction': 0.3279283344745636, 'redshifts/outlier_fraction_bin_0': 0.49176493287086487, 'redshifts/outlier_fraction_bin_1': 0.3580814301967621, 'redshifts/outlier_fraction_bin_2': 0.2621542811393738, 'redshifts/outlier_fraction_bin_3': 0.19527702033519745, 'redshifts/outlier_fraction_bin_4': 0.18102113902568817, 'redshifts/outlier_fraction_bin_5': 0.09250685572624207, 'redshifts/outlier_fraction_cata': 0.08925192058086395, 'redshifts/outlier_fraction_cata_bin_0': 0.1335752159357071, 'redshifts/outlier_fraction_cata_bin_1': 0.10023695230484009, 'redshifts/outlier_fraction_cata_bin_2': 0.08057034760713577, 'redshifts/outlier_fraction_cata_bin_3': 0.0557069331407547, 'redshifts/outlier_fraction_cata_bin_4': 0.05363589525222778, 'redshifts/outlier_fraction_cata_bin_5': 0.01628943718969822}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 913/1563 [1:28:07<1:03:15, 5.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57653.])\n", + "total num of pts: tensor([20969., 13937., 5829., 3306., 1940., 11672.])\n", + "{'redshifts/bias_abs': 0.07641120254993439, 'redshifts/bias_abs_bin_0': 0.14600995182991028, 'redshifts/bias_abs_bin_1': 0.09204958379268646, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.00438218517228961, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.3131260573863983, 'redshifts/mse_bin_0': 0.4401305615901947, 'redshifts/mse_bin_1': 0.36804401874542236, 'redshifts/mse_bin_2': 0.2939240336418152, 'redshifts/mse_bin_3': 0.21938790380954742, 'redshifts/mse_bin_4': 0.21414218842983246, 'redshifts/mse_bin_5': 0.0719771534204483, 'redshifts/nmad': 0.11319718509912491, 'redshifts/nmad_bin_0': 0.21450036764144897, 'redshifts/nmad_bin_1': 0.1354004144668579, 'redshifts/nmad_bin_2': 0.08895183354616165, 'redshifts/nmad_bin_3': 0.07145105302333832, 'redshifts/nmad_bin_4': 0.06289312988519669, 'redshifts/nmad_bin_5': 0.03525708243250847, 'redshifts/outlier_fraction': 0.3280315101146698, 'redshifts/outlier_fraction_bin_0': 0.49191662669181824, 'redshifts/outlier_fraction_bin_1': 0.3580397367477417, 'redshifts/outlier_fraction_bin_2': 0.26213759183883667, 'redshifts/outlier_fraction_bin_3': 0.19600726664066315, 'redshifts/outlier_fraction_bin_4': 0.1809278279542923, 'redshifts/outlier_fraction_bin_5': 0.09252913296222687, 'redshifts/outlier_fraction_cata': 0.08929283916950226, 'redshifts/outlier_fraction_cata_bin_0': 0.1335781365633011, 'redshifts/outlier_fraction_cata_bin_1': 0.10023678094148636, 'redshifts/outlier_fraction_cata_bin_2': 0.080631323158741, 'redshifts/outlier_fraction_cata_bin_3': 0.0562613420188427, 'redshifts/outlier_fraction_cata_bin_4': 0.0536082461476326, 'redshifts/outlier_fraction_cata_bin_5': 0.01627827249467373}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 58%|█████▊ | 914/1563 [1:28:11<59:25, 5.49s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57699.])\n", + "total num of pts: tensor([20980., 13947., 5834., 3308., 1943., 11687.])\n", + "{'redshifts/bias_abs': 0.07639125734567642, 'redshifts/bias_abs_bin_0': 0.14600995182991028, 'redshifts/bias_abs_bin_1': 0.09204570949077606, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004396793898195028, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.006547600030899048, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.31319260597229004, 'redshifts/mse_bin_0': 0.44013088941574097, 'redshifts/mse_bin_1': 0.3681383728981018, 'redshifts/mse_bin_2': 0.2936985194683075, 'redshifts/mse_bin_3': 0.2192939817905426, 'redshifts/mse_bin_4': 0.21589349210262299, 'redshifts/mse_bin_5': 0.07223334163427353, 'redshifts/nmad': 0.1131988987326622, 'redshifts/nmad_bin_0': 0.21448205411434174, 'redshifts/nmad_bin_1': 0.13542331755161285, 'redshifts/nmad_bin_2': 0.08881949633359909, 'redshifts/nmad_bin_3': 0.07140819728374481, 'redshifts/nmad_bin_4': 0.06298848241567612, 'redshifts/nmad_bin_5': 0.035300616174936295, 'redshifts/outlier_fraction': 0.32799530029296875, 'redshifts/outlier_fraction_bin_0': 0.49194470047950745, 'redshifts/outlier_fraction_bin_1': 0.35806983709335327, 'redshifts/outlier_fraction_bin_2': 0.26208433508872986, 'redshifts/outlier_fraction_bin_3': 0.19588875770568848, 'redshifts/outlier_fraction_bin_4': 0.18116314709186554, 'redshifts/outlier_fraction_bin_5': 0.09249593317508698, 'redshifts/outlier_fraction_cata': 0.08932563662528992, 'redshifts/outlier_fraction_cata_bin_0': 0.13355576992034912, 'redshifts/outlier_fraction_cata_bin_1': 0.10038001090288162, 'redshifts/outlier_fraction_cata_bin_2': 0.08056221902370453, 'redshifts/outlier_fraction_cata_bin_3': 0.05622732639312744, 'redshifts/outlier_fraction_cata_bin_4': 0.05404014512896538, 'redshifts/outlier_fraction_cata_bin_5': 0.016342945396900177}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▊ | 915/1563 [1:28:17<59:55, 5.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57754.])\n", + "total num of pts: tensor([21002., 13961., 5838., 3311., 1947., 11695.])\n", + "{'redshifts/bias_abs': 0.07642081379890442, 'redshifts/bias_abs_bin_0': 0.14607885479927063, 'redshifts/bias_abs_bin_1': 0.09204570949077606, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004404515027999878, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.011133014224469662, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.31335878372192383, 'redshifts/mse_bin_0': 0.44063833355903625, 'redshifts/mse_bin_1': 0.36803388595581055, 'redshifts/mse_bin_2': 0.2939257025718689, 'redshifts/mse_bin_3': 0.21909816563129425, 'redshifts/mse_bin_4': 0.21552206575870514, 'redshifts/mse_bin_5': 0.07219524681568146, 'redshifts/nmad': 0.11322471499443054, 'redshifts/nmad_bin_0': 0.21450120210647583, 'redshifts/nmad_bin_1': 0.13544191420078278, 'redshifts/nmad_bin_2': 0.0890502780675888, 'redshifts/nmad_bin_3': 0.07145105302333832, 'redshifts/nmad_bin_4': 0.06295915693044662, 'redshifts/nmad_bin_5': 0.03530459105968475, 'redshifts/outlier_fraction': 0.32813310623168945, 'redshifts/outlier_fraction_bin_0': 0.4920959770679474, 'redshifts/outlier_fraction_bin_1': 0.3581405282020569, 'redshifts/outlier_fraction_bin_2': 0.2625899314880371, 'redshifts/outlier_fraction_bin_3': 0.19571126997470856, 'redshifts/outlier_fraction_bin_4': 0.18130457401275635, 'redshifts/outlier_fraction_bin_5': 0.09251817315816879, 'redshifts/outlier_fraction_cata': 0.08941371738910675, 'redshifts/outlier_fraction_cata_bin_0': 0.1337967813014984, 'redshifts/outlier_fraction_cata_bin_1': 0.10035097599029541, 'redshifts/outlier_fraction_cata_bin_2': 0.0806783139705658, 'redshifts/outlier_fraction_cata_bin_3': 0.056176383048295975, 'redshifts/outlier_fraction_cata_bin_4': 0.05392912030220032, 'redshifts/outlier_fraction_cata_bin_5': 0.016331765800714493}\n", + "total num of pts: tensor([57824.])\n", + "total num of pts: tensor([21028., 13979., 5843., 3314., 1951., 11709.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▊ | 916/1563 [1:28:25<1:07:49, 6.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07641751319169998, 'redshifts/bias_abs_bin_0': 0.14611220359802246, 'redshifts/bias_abs_bin_1': 0.09200947731733322, 'redshifts/bias_abs_bin_2': 0.060062289237976074, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004400321748107672, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.011133014224469662, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.006599981337785721, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.3133028447628021, 'redshifts/mse_bin_0': 0.4405820071697235, 'redshifts/mse_bin_1': 0.3679434061050415, 'redshifts/mse_bin_2': 0.29414311051368713, 'redshifts/mse_bin_3': 0.21892648935317993, 'redshifts/mse_bin_4': 0.21509507298469543, 'redshifts/mse_bin_5': 0.07212704420089722, 'redshifts/nmad': 0.11321856081485748, 'redshifts/nmad_bin_0': 0.21451684832572937, 'redshifts/nmad_bin_1': 0.13544028997421265, 'redshifts/nmad_bin_2': 0.08901457488536835, 'redshifts/nmad_bin_3': 0.07148585468530655, 'redshifts/nmad_bin_4': 0.06295915693044662, 'redshifts/nmad_bin_5': 0.035307493060827255, 'redshifts/outlier_fraction': 0.3281855285167694, 'redshifts/outlier_fraction_bin_0': 0.4922008812427521, 'redshifts/outlier_fraction_bin_1': 0.35818013548851013, 'redshifts/outlier_fraction_bin_2': 0.26304981112480164, 'redshifts/outlier_fraction_bin_3': 0.1955340951681137, 'redshifts/outlier_fraction_bin_4': 0.18093284964561462, 'redshifts/outlier_fraction_bin_5': 0.09240754693746567, 'redshifts/outlier_fraction_cata': 0.08937465399503708, 'redshifts/outlier_fraction_cata_bin_0': 0.13372646272182465, 'redshifts/outlier_fraction_cata_bin_1': 0.10029329359531403, 'redshifts/outlier_fraction_cata_bin_2': 0.08078042417764664, 'redshifts/outlier_fraction_cata_bin_3': 0.05612552911043167, 'redshifts/outlier_fraction_cata_bin_4': 0.05381855368614197, 'redshifts/outlier_fraction_cata_bin_5': 0.016312237828969955}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▊ | 917/1563 [1:28:31<1:06:30, 6.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([57881.])\n", + "total num of pts: tensor([21050., 13989., 5847., 3319., 1955., 11721.])\n", + "{'redshifts/bias_abs': 0.07642081379890442, 'redshifts/bias_abs_bin_0': 0.14611220359802246, 'redshifts/bias_abs_bin_1': 0.09200947731733322, 'redshifts/bias_abs_bin_2': 0.05996856093406677, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004393754061311483, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.00548197515308857, 'redshifts/bias_bin_5': 3.9814916817704216e-05, 'redshifts/mse': 0.3134037256240845, 'redshifts/mse_bin_0': 0.44079285860061646, 'redshifts/mse_bin_1': 0.36773595213890076, 'redshifts/mse_bin_2': 0.2941551208496094, 'redshifts/mse_bin_3': 0.2200033962726593, 'redshifts/mse_bin_4': 0.2160325050354004, 'redshifts/mse_bin_5': 0.07206857949495316, 'redshifts/nmad': 0.11321434378623962, 'redshifts/nmad_bin_0': 0.21480488777160645, 'redshifts/nmad_bin_1': 0.13542966544628143, 'redshifts/nmad_bin_2': 0.08900214731693268, 'redshifts/nmad_bin_3': 0.07145105302333832, 'redshifts/nmad_bin_4': 0.06283999234437943, 'redshifts/nmad_bin_5': 0.03532257676124573, 'redshifts/outlier_fraction': 0.3281905949115753, 'redshifts/outlier_fraction_bin_0': 0.4922090172767639, 'redshifts/outlier_fraction_bin_1': 0.3581385314464569, 'redshifts/outlier_fraction_bin_2': 0.2630408704280853, 'redshifts/outlier_fraction_bin_3': 0.19584211707115173, 'redshifts/outlier_fraction_bin_4': 0.18107417225837708, 'redshifts/outlier_fraction_bin_5': 0.0923982560634613, 'redshifts/outlier_fraction_cata': 0.08940757811069489, 'redshifts/outlier_fraction_cata_bin_0': 0.1337767243385315, 'redshifts/outlier_fraction_cata_bin_1': 0.10022160410881042, 'redshifts/outlier_fraction_cata_bin_2': 0.08089618384838104, 'redshifts/outlier_fraction_cata_bin_3': 0.056342270225286484, 'redshifts/outlier_fraction_cata_bin_4': 0.05421994999051094, 'redshifts/outlier_fraction_cata_bin_5': 0.01629553735256195}\n", + "total num of pts: tensor([57949.])\n", + "total num of pts: tensor([21078., 14001., 5856., 3319., 1958., 11737.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▊ | 918/1563 [1:28:37<1:05:41, 6.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07641120254993439, 'redshifts/bias_abs_bin_0': 0.14611338078975677, 'redshifts/bias_abs_bin_1': 0.09196965396404266, 'redshifts/bias_abs_bin_2': 0.05996856093406677, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.0043913801200687885, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.006576503627002239, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.3135862648487091, 'redshifts/mse_bin_0': 0.44102948904037476, 'redshifts/mse_bin_1': 0.36786532402038574, 'redshifts/mse_bin_2': 0.29433926939964294, 'redshifts/mse_bin_3': 0.2200033962726593, 'redshifts/mse_bin_4': 0.21571040153503418, 'redshifts/mse_bin_5': 0.07236165553331375, 'redshifts/nmad': 0.11321081966161728, 'redshifts/nmad_bin_0': 0.21481536328792572, 'redshifts/nmad_bin_1': 0.1353902518749237, 'redshifts/nmad_bin_2': 0.08905334770679474, 'redshifts/nmad_bin_3': 0.07145105302333832, 'redshifts/nmad_bin_4': 0.06291522830724716, 'redshifts/nmad_bin_5': 0.03534267842769623, 'redshifts/outlier_fraction': 0.32820239663124084, 'redshifts/outlier_fraction_bin_0': 0.49226680397987366, 'redshifts/outlier_fraction_bin_1': 0.3581172823905945, 'redshifts/outlier_fraction_bin_2': 0.26297813653945923, 'redshifts/outlier_fraction_bin_3': 0.19584211707115173, 'redshifts/outlier_fraction_bin_4': 0.18079672753810883, 'redshifts/outlier_fraction_bin_5': 0.09244270622730255, 'redshifts/outlier_fraction_cata': 0.08944071829319, 'redshifts/outlier_fraction_cata_bin_0': 0.13378877937793732, 'redshifts/outlier_fraction_cata_bin_1': 0.1002071276307106, 'redshifts/outlier_fraction_cata_bin_2': 0.08111339062452316, 'redshifts/outlier_fraction_cata_bin_3': 0.056342270225286484, 'redshifts/outlier_fraction_cata_bin_4': 0.05413687601685524, 'redshifts/outlier_fraction_cata_bin_5': 0.016358524560928345}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 919/1563 [1:28:42<1:02:57, 5.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58025.])\n", + "total num of pts: tensor([21115., 14018., 5863., 3322., 1960., 11747.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14605243504047394, 'redshifts/bias_abs_bin_1': 0.09180497378110886, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.0043913801200687885, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.006547600030899048, 'redshifts/bias_bin_4': -0.00548197515308857, 'redshifts/bias_bin_5': 1.554123628011439e-05, 'redshifts/mse': 0.31336453557014465, 'redshifts/mse_bin_0': 0.4405646026134491, 'redshifts/mse_bin_1': 0.3676242530345917, 'redshifts/mse_bin_2': 0.294085294008255, 'redshifts/mse_bin_3': 0.2198595404624939, 'redshifts/mse_bin_4': 0.21549078822135925, 'redshifts/mse_bin_5': 0.07237125933170319, 'redshifts/nmad': 0.11318898946046829, 'redshifts/nmad_bin_0': 0.21444465219974518, 'redshifts/nmad_bin_1': 0.1352708786725998, 'redshifts/nmad_bin_2': 0.08917023986577988, 'redshifts/nmad_bin_3': 0.07139420509338379, 'redshifts/nmad_bin_4': 0.06256065517663956, 'redshifts/nmad_bin_5': 0.035350192338228226, 'redshifts/outlier_fraction': 0.3281344175338745, 'redshifts/outlier_fraction_bin_0': 0.4920198917388916, 'redshifts/outlier_fraction_bin_1': 0.3579683303833008, 'redshifts/outlier_fraction_bin_2': 0.26283472776412964, 'redshifts/outlier_fraction_bin_3': 0.19596628844738007, 'redshifts/outlier_fraction_bin_4': 0.180612251162529, 'redshifts/outlier_fraction_bin_5': 0.09253426641225815, 'redshifts/outlier_fraction_cata': 0.08935803174972534, 'redshifts/outlier_fraction_cata_bin_0': 0.13360171020030975, 'redshifts/outlier_fraction_cata_bin_1': 0.10015694051980972, 'redshifts/outlier_fraction_cata_bin_2': 0.08101654797792435, 'redshifts/outlier_fraction_cata_bin_3': 0.05629139021039009, 'redshifts/outlier_fraction_cata_bin_4': 0.05408163368701935, 'redshifts/outlier_fraction_cata_bin_5': 0.016344599425792694}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 920/1563 [1:28:48<1:02:15, 5.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58089.])\n", + "total num of pts: tensor([21140., 14028., 5873., 3327., 1963., 11758.])\n", + "{'redshifts/bias_abs': 0.07635212689638138, 'redshifts/bias_abs_bin_0': 0.14610248804092407, 'redshifts/bias_abs_bin_1': 0.09180448949337006, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.0043938555754721165, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.011152169667184353, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.00548197515308857, 'redshifts/bias_bin_5': 1.8636010281625204e-05, 'redshifts/mse': 0.31345078349113464, 'redshifts/mse_bin_0': 0.4408900737762451, 'redshifts/mse_bin_1': 0.3675256669521332, 'redshifts/mse_bin_2': 0.2943398952484131, 'redshifts/mse_bin_3': 0.2195362150669098, 'redshifts/mse_bin_4': 0.215169757604599, 'redshifts/mse_bin_5': 0.0723377913236618, 'redshifts/nmad': 0.11319576948881149, 'redshifts/nmad_bin_0': 0.21452279388904572, 'redshifts/nmad_bin_1': 0.1352279931306839, 'redshifts/nmad_bin_2': 0.08904693275690079, 'redshifts/nmad_bin_3': 0.07115708291530609, 'redshifts/nmad_bin_4': 0.06256065517663956, 'redshifts/nmad_bin_5': 0.03528698906302452, 'redshifts/outlier_fraction': 0.3281860649585724, 'redshifts/outlier_fraction_bin_0': 0.49219489097595215, 'redshifts/outlier_fraction_bin_1': 0.35792699456214905, 'redshifts/outlier_fraction_bin_2': 0.2628979980945587, 'redshifts/outlier_fraction_bin_3': 0.19567178189754486, 'redshifts/outlier_fraction_bin_4': 0.18033622205257416, 'redshifts/outlier_fraction_bin_5': 0.09261779487133026, 'redshifts/outlier_fraction_cata': 0.08939730376005173, 'redshifts/outlier_fraction_cata_bin_0': 0.1337275356054306, 'redshifts/outlier_fraction_cata_bin_1': 0.10015682876110077, 'redshifts/outlier_fraction_cata_bin_2': 0.0810488685965538, 'redshifts/outlier_fraction_cata_bin_3': 0.05620679259300232, 'redshifts/outlier_fraction_cata_bin_4': 0.053998980671167374, 'redshifts/outlier_fraction_cata_bin_5': 0.016329307109117508}\n", + "total num of pts: tensor([58151.])\n", + "total num of pts: tensor([21164., 14048., 5878., 3330., 1963., 11768.])\n", + "{'redshifts/bias_abs': 0.07640169560909271, 'redshifts/bias_abs_bin_0': 0.14611338078975677, 'redshifts/bias_abs_bin_1': 0.09180448949337006, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.0044107139110565186, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.011219519190490246, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.00548197515308857, 'redshifts/bias_bin_5': 1.554123628011439e-05, 'redshifts/mse': 0.3136025369167328, 'redshifts/mse_bin_0': 0.4409111440181732, 'redshifts/mse_bin_1': 0.3678458631038666, 'redshifts/mse_bin_2': 0.2941817343235016, 'redshifts/mse_bin_3': 0.2194545865058899, 'redshifts/mse_bin_4': 0.215169757604599, 'redshifts/mse_bin_5': 0.07265487313270569, 'redshifts/nmad': 0.11323396861553192, 'redshifts/nmad_bin_0': 0.21453459560871124, 'redshifts/nmad_bin_1': 0.1352497786283493, 'redshifts/nmad_bin_2': 0.0890502780675888, 'redshifts/nmad_bin_3': 0.07115708291530609, 'redshifts/nmad_bin_4': 0.06256065517663956, 'redshifts/nmad_bin_5': 0.03529157489538193, 'redshifts/outlier_fraction': 0.32833483815193176, 'redshifts/outlier_fraction_bin_0': 0.4922982454299927, 'redshifts/outlier_fraction_bin_1': 0.3580580949783325, 'redshifts/outlier_fraction_bin_2': 0.26301464438438416, 'redshifts/outlier_fraction_bin_3': 0.19579578936100006, 'redshifts/outlier_fraction_bin_4': 0.18033622205257416, 'redshifts/outlier_fraction_bin_5': 0.0927940160036087, 'redshifts/outlier_fraction_cata': 0.08947395533323288, 'redshifts/outlier_fraction_cata_bin_0': 0.13376487791538239, 'redshifts/outlier_fraction_cata_bin_1': 0.10037016123533249, 'redshifts/outlier_fraction_cata_bin_2': 0.08097992837429047, 'redshifts/outlier_fraction_cata_bin_3': 0.05615615472197533, 'redshifts/outlier_fraction_cata_bin_4': 0.053998980671167374, 'redshifts/outlier_fraction_cata_bin_5': 0.016400407999753952}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 922/1563 [1:28:59<1:00:26, 5.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58212.])\n", + "total num of pts: tensor([21189., 14060., 5886., 3334., 1966., 11777.])\n", + "{'redshifts/bias_abs': 0.07640169560909271, 'redshifts/bias_abs_bin_0': 0.14611220359802246, 'redshifts/bias_abs_bin_1': 0.09178518503904343, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004411892034113407, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.011232350021600723, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 1.9114862880087458e-05, 'redshifts/mse': 0.31345266103744507, 'redshifts/mse_bin_0': 0.4406323730945587, 'redshifts/mse_bin_1': 0.3676268756389618, 'redshifts/mse_bin_2': 0.29393115639686584, 'redshifts/mse_bin_3': 0.21919408440589905, 'redshifts/mse_bin_4': 0.21484829485416412, 'redshifts/mse_bin_5': 0.07285909354686737, 'redshifts/nmad': 0.11321940273046494, 'redshifts/nmad_bin_0': 0.21458002924919128, 'redshifts/nmad_bin_1': 0.135238379240036, 'redshifts/nmad_bin_2': 0.08919748663902283, 'redshifts/nmad_bin_3': 0.07103867083787918, 'redshifts/nmad_bin_4': 0.06252870708703995, 'redshifts/nmad_bin_5': 0.035300351679325104, 'redshifts/outlier_fraction': 0.32829999923706055, 'redshifts/outlier_fraction_bin_0': 0.49218934774398804, 'redshifts/outlier_fraction_bin_1': 0.3581081032752991, 'redshifts/outlier_fraction_bin_2': 0.26299694180488586, 'redshifts/outlier_fraction_bin_3': 0.19556088745594025, 'redshifts/outlier_fraction_bin_4': 0.18006104230880737, 'redshifts/outlier_fraction_bin_5': 0.09280801564455032, 'redshifts/outlier_fraction_cata': 0.0894145518541336, 'redshifts/outlier_fraction_cata_bin_0': 0.13365425169467926, 'redshifts/outlier_fraction_cata_bin_1': 0.10028449445962906, 'redshifts/outlier_fraction_cata_bin_2': 0.08086986094713211, 'redshifts/outlier_fraction_cata_bin_3': 0.05608878284692764, 'redshifts/outlier_fraction_cata_bin_4': 0.053916580975055695, 'redshifts/outlier_fraction_cata_bin_5': 0.01647278666496277}\n", + "total num of pts: tensor([58276.])\n", + "total num of pts: tensor([21207., 14086., 5891., 3338., 1966., 11788.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 923/1563 [1:29:03<57:00, 5.34s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07639125734567642, 'redshifts/bias_abs_bin_0': 0.14610248804092407, 'redshifts/bias_abs_bin_1': 0.09178518503904343, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04199017584323883, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004411892034113407, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.31331920623779297, 'redshifts/mse_bin_0': 0.44039785861968994, 'redshifts/mse_bin_1': 0.367448091506958, 'redshifts/mse_bin_2': 0.29379013180732727, 'redshifts/mse_bin_3': 0.2190951108932495, 'redshifts/mse_bin_4': 0.21484829485416412, 'redshifts/mse_bin_5': 0.07288394123315811, 'redshifts/nmad': 0.11321485787630081, 'redshifts/nmad_bin_0': 0.21452389657497406, 'redshifts/nmad_bin_1': 0.13525015115737915, 'redshifts/nmad_bin_2': 0.0891735851764679, 'redshifts/nmad_bin_3': 0.07103867083787918, 'redshifts/nmad_bin_4': 0.06252870708703995, 'redshifts/nmad_bin_5': 0.03533431142568588, 'redshifts/outlier_fraction': 0.32831698656082153, 'redshifts/outlier_fraction_bin_0': 0.49210166931152344, 'redshifts/outlier_fraction_bin_1': 0.3580860495567322, 'redshifts/outlier_fraction_bin_2': 0.26311323046684265, 'redshifts/outlier_fraction_bin_3': 0.1956261247396469, 'redshifts/outlier_fraction_bin_4': 0.18006104230880737, 'redshifts/outlier_fraction_bin_5': 0.0929759070277214, 'redshifts/outlier_fraction_cata': 0.08935067802667618, 'redshifts/outlier_fraction_cata_bin_0': 0.1335408091545105, 'redshifts/outlier_fraction_cata_bin_1': 0.10024137794971466, 'redshifts/outlier_fraction_cata_bin_2': 0.08080121874809265, 'redshifts/outlier_fraction_cata_bin_3': 0.05602157115936279, 'redshifts/outlier_fraction_cata_bin_4': 0.053916580975055695, 'redshifts/outlier_fraction_cata_bin_5': 0.016457414254546165}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 924/1563 [1:29:09<58:56, 5.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58335.])\n", + "total num of pts: tensor([21230., 14096., 5897., 3342., 1971., 11799.])\n", + "{'redshifts/bias_abs': 0.07635212689638138, 'redshifts/bias_abs_bin_0': 0.14606530964374542, 'redshifts/bias_abs_bin_1': 0.09177171438932419, 'redshifts/bias_abs_bin_2': 0.05996118485927582, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004426748026162386, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.011207802221179008, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.3132089674472809, 'redshifts/mse_bin_0': 0.4403378665447235, 'redshifts/mse_bin_1': 0.3673493266105652, 'redshifts/mse_bin_2': 0.2935739755630493, 'redshifts/mse_bin_3': 0.2188747674226761, 'redshifts/mse_bin_4': 0.21440674364566803, 'redshifts/mse_bin_5': 0.07282334566116333, 'redshifts/nmad': 0.11318523436784744, 'redshifts/nmad_bin_0': 0.21444611251354218, 'redshifts/nmad_bin_1': 0.1351531744003296, 'redshifts/nmad_bin_2': 0.08923988789319992, 'redshifts/nmad_bin_3': 0.07103867083787918, 'redshifts/nmad_bin_4': 0.06257781386375427, 'redshifts/nmad_bin_5': 0.03536335378885269, 'redshifts/outlier_fraction': 0.3282591998577118, 'redshifts/outlier_fraction_bin_0': 0.4920395612716675, 'redshifts/outlier_fraction_bin_1': 0.35804483294487, 'redshifts/outlier_fraction_bin_2': 0.26301509141921997, 'redshifts/outlier_fraction_bin_3': 0.19569119811058044, 'redshifts/outlier_fraction_bin_4': 0.1801116168498993, 'redshifts/outlier_fraction_bin_5': 0.0928892269730568, 'redshifts/outlier_fraction_cata': 0.08932887762784958, 'redshifts/outlier_fraction_cata_bin_0': 0.1335374414920807, 'redshifts/outlier_fraction_cata_bin_1': 0.10024120658636093, 'redshifts/outlier_fraction_cata_bin_2': 0.0807190090417862, 'redshifts/outlier_fraction_cata_bin_3': 0.05595451965928078, 'redshifts/outlier_fraction_cata_bin_4': 0.053779806941747665, 'redshifts/outlier_fraction_cata_bin_5': 0.01644207164645195}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 925/1563 [1:29:14<57:49, 5.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58393.])\n", + "total num of pts: tensor([21247., 14109., 5902., 3346., 1974., 11815.])\n", + "{'redshifts/bias_abs': 0.07634434849023819, 'redshifts/bias_abs_bin_0': 0.1459953337907791, 'redshifts/bias_abs_bin_1': 0.09176301956176758, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004402677062898874, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.011203695088624954, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 2.6422396331327036e-05, 'redshifts/mse': 0.31300586462020874, 'redshifts/mse_bin_0': 0.4401819407939911, 'redshifts/mse_bin_1': 0.3670675456523895, 'redshifts/mse_bin_2': 0.29334557056427, 'redshifts/mse_bin_3': 0.2186165153980255, 'redshifts/mse_bin_4': 0.2146042138338089, 'redshifts/mse_bin_5': 0.07273858040571213, 'redshifts/nmad': 0.11317188292741776, 'redshifts/nmad_bin_0': 0.21442177891731262, 'redshifts/nmad_bin_1': 0.13514749705791473, 'redshifts/nmad_bin_2': 0.08907418698072433, 'redshifts/nmad_bin_3': 0.07092814892530441, 'redshifts/nmad_bin_4': 0.06265931576490402, 'redshifts/nmad_bin_5': 0.03536335378885269, 'redshifts/outlier_fraction': 0.3281044065952301, 'redshifts/outlier_fraction_bin_0': 0.49188122153282166, 'redshifts/outlier_fraction_bin_1': 0.35799843072891235, 'redshifts/outlier_fraction_bin_2': 0.2627922594547272, 'redshifts/outlier_fraction_bin_3': 0.19545726478099823, 'redshifts/outlier_fraction_bin_4': 0.18034447729587555, 'redshifts/outlier_fraction_bin_5': 0.09276343882083893, 'redshifts/outlier_fraction_cata': 0.0892915278673172, 'redshifts/outlier_fraction_cata_bin_0': 0.13352473080158234, 'redshifts/outlier_fraction_cata_bin_1': 0.10014884173870087, 'redshifts/outlier_fraction_cata_bin_2': 0.08065062761306763, 'redshifts/outlier_fraction_cata_bin_3': 0.055887628346681595, 'redshifts/outlier_fraction_cata_bin_4': 0.05420466139912605, 'redshifts/outlier_fraction_cata_bin_5': 0.016419805586338043}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 926/1563 [1:29:20<57:45, 5.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58445.])\n", + "total num of pts: tensor([21271., 14120., 5911., 3346., 1976., 11821.])\n", + "{'redshifts/bias_abs': 0.07635871320962906, 'redshifts/bias_abs_bin_0': 0.14605243504047394, 'redshifts/bias_abs_bin_1': 0.09176301956176758, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004411892034113407, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.011152169667184353, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 3.905069752363488e-05, 'redshifts/mse': 0.3130775988101959, 'redshifts/mse_bin_0': 0.44019263982772827, 'redshifts/mse_bin_1': 0.36699149012565613, 'redshifts/mse_bin_2': 0.2940065264701843, 'redshifts/mse_bin_3': 0.2186165153980255, 'redshifts/mse_bin_4': 0.21446093916893005, 'redshifts/mse_bin_5': 0.07270324230194092, 'redshifts/nmad': 0.11318554729223251, 'redshifts/nmad_bin_0': 0.21444611251354218, 'redshifts/nmad_bin_1': 0.13514114916324615, 'redshifts/nmad_bin_2': 0.08919748663902283, 'redshifts/nmad_bin_3': 0.07092814892530441, 'redshifts/nmad_bin_4': 0.06266164034605026, 'redshifts/nmad_bin_5': 0.0353299118578434, 'redshifts/outlier_fraction': 0.32820600271224976, 'redshifts/outlier_fraction_bin_0': 0.49198439717292786, 'redshifts/outlier_fraction_bin_1': 0.3580736517906189, 'redshifts/outlier_fraction_bin_2': 0.2630688548088074, 'redshifts/outlier_fraction_bin_3': 0.19545726478099823, 'redshifts/outlier_fraction_bin_4': 0.18016193807125092, 'redshifts/outlier_fraction_bin_5': 0.09271635115146637, 'redshifts/outlier_fraction_cata': 0.08931474387645721, 'redshifts/outlier_fraction_cata_bin_0': 0.1335621327161789, 'redshifts/outlier_fraction_cata_bin_1': 0.10014164447784424, 'redshifts/outlier_fraction_cata_bin_2': 0.08069700747728348, 'redshifts/outlier_fraction_cata_bin_3': 0.055887628346681595, 'redshifts/outlier_fraction_cata_bin_4': 0.054149799048900604, 'redshifts/outlier_fraction_cata_bin_5': 0.016411470249295235}\n", + "total num of pts: tensor([58500.])\n", + "total num of pts: tensor([21290., 14130., 5920., 3350., 1977., 11833.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 927/1563 [1:29:25<55:41, 5.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07635084539651871, 'redshifts/bias_abs_bin_0': 0.14605243504047394, 'redshifts/bias_abs_bin_1': 0.09177171438932419, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004402024205774069, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 4.273739250493236e-05, 'redshifts/mse': 0.3130130469799042, 'redshifts/mse_bin_0': 0.4401420056819916, 'redshifts/mse_bin_1': 0.366987943649292, 'redshifts/mse_bin_2': 0.2936851382255554, 'redshifts/mse_bin_3': 0.21884553134441376, 'redshifts/mse_bin_4': 0.21435828506946564, 'redshifts/mse_bin_5': 0.07264112681150436, 'redshifts/nmad': 0.1131836548447609, 'redshifts/nmad_bin_0': 0.21457599103450775, 'redshifts/nmad_bin_1': 0.1351669579744339, 'redshifts/nmad_bin_2': 0.08907418698072433, 'redshifts/nmad_bin_3': 0.07095463573932648, 'redshifts/nmad_bin_4': 0.06289312988519669, 'redshifts/nmad_bin_5': 0.03530987352132797, 'redshifts/outlier_fraction': 0.3282393217086792, 'redshifts/outlier_fraction_bin_0': 0.4920150339603424, 'redshifts/outlier_fraction_bin_1': 0.3582448661327362, 'redshifts/outlier_fraction_bin_2': 0.26283782720565796, 'redshifts/outlier_fraction_bin_3': 0.1958208978176117, 'redshifts/outlier_fraction_bin_4': 0.18007081747055054, 'redshifts/outlier_fraction_bin_5': 0.0927068367600441, 'redshifts/outlier_fraction_cata': 0.0893162414431572, 'redshifts/outlier_fraction_cata_bin_0': 0.13358384370803833, 'redshifts/outlier_fraction_cata_bin_1': 0.10021231323480606, 'redshifts/outlier_fraction_cata_bin_2': 0.08057432621717453, 'redshifts/outlier_fraction_cata_bin_3': 0.05582089722156525, 'redshifts/outlier_fraction_cata_bin_4': 0.054122406989336014, 'redshifts/outlier_fraction_cata_bin_5': 0.016394827514886856}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 928/1563 [1:29:30<54:21, 5.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58561.])\n", + "total num of pts: tensor([21313., 14146., 5930., 3352., 1980., 11840.])\n", + "{'redshifts/bias_abs': 0.07639125734567642, 'redshifts/bias_abs_bin_0': 0.14611220359802246, 'redshifts/bias_abs_bin_1': 0.09176301956176758, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004400321748107672, 'redshifts/bias_bin_0': 0.029136130586266518, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006178225856274366, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 4.273739250493236e-05, 'redshifts/mse': 0.31307873129844666, 'redshifts/mse_bin_0': 0.43992242217063904, 'redshifts/mse_bin_1': 0.3672417402267456, 'redshifts/mse_bin_2': 0.2934949994087219, 'redshifts/mse_bin_3': 0.21872563660144806, 'redshifts/mse_bin_4': 0.21407140791416168, 'redshifts/mse_bin_5': 0.07311452925205231, 'redshifts/nmad': 0.11319771409034729, 'redshifts/nmad_bin_0': 0.21466250717639923, 'redshifts/nmad_bin_1': 0.13516448438167572, 'redshifts/nmad_bin_2': 0.0891735851764679, 'redshifts/nmad_bin_3': 0.07103198766708374, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.035289864987134933, 'redshifts/outlier_fraction': 0.3283243179321289, 'redshifts/outlier_fraction_bin_0': 0.4921409487724304, 'redshifts/outlier_fraction_bin_1': 0.3582638204097748, 'redshifts/outlier_fraction_bin_2': 0.2629005014896393, 'redshifts/outlier_fraction_bin_3': 0.19570405781269073, 'redshifts/outlier_fraction_bin_4': 0.1797979772090912, 'redshifts/outlier_fraction_bin_5': 0.09282094240188599, 'redshifts/outlier_fraction_cata': 0.08929150551557541, 'redshifts/outlier_fraction_cata_bin_0': 0.13348659873008728, 'redshifts/outlier_fraction_cata_bin_1': 0.10024034976959229, 'redshifts/outlier_fraction_cata_bin_2': 0.08043844997882843, 'redshifts/outlier_fraction_cata_bin_3': 0.0557875894010067, 'redshifts/outlier_fraction_cata_bin_4': 0.05404040589928627, 'redshifts/outlier_fraction_cata_bin_5': 0.016469594091176987}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 59%|█████▉ | 929/1563 [1:29:34<53:01, 5.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58631.])\n", + "total num of pts: tensor([21341., 14166., 5936., 3356., 1982., 11850.])\n", + "{'redshifts/bias_abs': 0.07642372697591782, 'redshifts/bias_abs_bin_0': 0.14611220359802246, 'redshifts/bias_abs_bin_1': 0.09180448949337006, 'redshifts/bias_abs_bin_2': 0.05990159511566162, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004391572438180447, 'redshifts/bias_bin_0': 0.029130849987268448, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 3.905069752363488e-05, 'redshifts/mse': 0.31299975514411926, 'redshifts/mse_bin_0': 0.4397071301937103, 'redshifts/mse_bin_1': 0.36708399653434753, 'redshifts/mse_bin_2': 0.2932164669036865, 'redshifts/mse_bin_3': 0.21863698959350586, 'redshifts/mse_bin_4': 0.21452604234218597, 'redshifts/mse_bin_5': 0.07325837761163712, 'redshifts/nmad': 0.11321110278367996, 'redshifts/nmad_bin_0': 0.21462643146514893, 'redshifts/nmad_bin_1': 0.13530555367469788, 'redshifts/nmad_bin_2': 0.0891735851764679, 'redshifts/nmad_bin_3': 0.07112803310155869, 'redshifts/nmad_bin_4': 0.06291522830724716, 'redshifts/nmad_bin_5': 0.03528149425983429, 'redshifts/outlier_fraction': 0.328409880399704, 'redshifts/outlier_fraction_bin_0': 0.49215126037597656, 'redshifts/outlier_fraction_bin_1': 0.3583933413028717, 'redshifts/outlier_fraction_bin_2': 0.2626347839832306, 'redshifts/outlier_fraction_bin_3': 0.19636471569538116, 'redshifts/outlier_fraction_bin_4': 0.18012109398841858, 'redshifts/outlier_fraction_bin_5': 0.09282700717449188, 'redshifts/outlier_fraction_cata': 0.08927018195390701, 'redshifts/outlier_fraction_cata_bin_0': 0.1334051787853241, 'redshifts/outlier_fraction_cata_bin_1': 0.10016942024230957, 'redshifts/outlier_fraction_cata_bin_2': 0.0803571417927742, 'redshifts/outlier_fraction_cata_bin_3': 0.05572109669446945, 'redshifts/outlier_fraction_cata_bin_4': 0.05449041351675987, 'redshifts/outlier_fraction_cata_bin_5': 0.016540084034204483}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|█████▉ | 930/1563 [1:29:40<54:15, 5.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58689.])\n", + "total num of pts: tensor([21362., 14181., 5944., 3356., 1984., 11862.])\n", + "{'redshifts/bias_abs': 0.07642081379890442, 'redshifts/bias_abs_bin_0': 0.14611338078975677, 'redshifts/bias_abs_bin_1': 0.09178518503904343, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004380732774734497, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.31299686431884766, 'redshifts/mse_bin_0': 0.4396749436855316, 'redshifts/mse_bin_1': 0.3672044277191162, 'redshifts/mse_bin_2': 0.29316291213035583, 'redshifts/mse_bin_3': 0.21863698959350586, 'redshifts/mse_bin_4': 0.2143361121416092, 'redshifts/mse_bin_5': 0.07319604605436325, 'redshifts/nmad': 0.11322124302387238, 'redshifts/nmad_bin_0': 0.21454006433486938, 'redshifts/nmad_bin_1': 0.13527262210845947, 'redshifts/nmad_bin_2': 0.08896832168102264, 'redshifts/nmad_bin_3': 0.07112803310155869, 'redshifts/nmad_bin_4': 0.06291522830724716, 'redshifts/nmad_bin_5': 0.03527982905507088, 'redshifts/outlier_fraction': 0.32839202880859375, 'redshifts/outlier_fraction_bin_0': 0.4922291934490204, 'redshifts/outlier_fraction_bin_1': 0.3582257926464081, 'redshifts/outlier_fraction_bin_2': 0.2624495327472687, 'redshifts/outlier_fraction_bin_3': 0.19636471569538116, 'redshifts/outlier_fraction_bin_4': 0.18044355511665344, 'redshifts/outlier_fraction_bin_5': 0.09281740337610245, 'redshifts/outlier_fraction_cata': 0.0892501175403595, 'redshifts/outlier_fraction_cata_bin_0': 0.133367657661438, 'redshifts/outlier_fraction_cata_bin_1': 0.1001339852809906, 'redshifts/outlier_fraction_cata_bin_2': 0.08041723072528839, 'redshifts/outlier_fraction_cata_bin_3': 0.05572109669446945, 'redshifts/outlier_fraction_cata_bin_4': 0.05443548411130905, 'redshifts/outlier_fraction_cata_bin_5': 0.01652335189282894}\n", + "total num of pts: tensor([58757.])\n", + "total num of pts: tensor([21386., 14198., 5952., 3361., 1986., 11874.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|█████▉ | 931/1563 [1:29:46<56:04, 5.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07641751319169998, 'redshifts/bias_abs_bin_0': 0.14611338078975677, 'redshifts/bias_abs_bin_1': 0.09172862768173218, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 2.625584602355957e-05, 'redshifts/mse': 0.3129573166370392, 'redshifts/mse_bin_0': 0.43952468037605286, 'redshifts/mse_bin_1': 0.366976797580719, 'redshifts/mse_bin_2': 0.29302388429641724, 'redshifts/mse_bin_3': 0.21875616908073425, 'redshifts/mse_bin_4': 0.21534377336502075, 'redshifts/mse_bin_5': 0.07338912039995193, 'redshifts/nmad': 0.11321301758289337, 'redshifts/nmad_bin_0': 0.2144799828529358, 'redshifts/nmad_bin_1': 0.13518956303596497, 'redshifts/nmad_bin_2': 0.08890818804502487, 'redshifts/nmad_bin_3': 0.07134465873241425, 'redshifts/nmad_bin_4': 0.06295915693044662, 'redshifts/nmad_bin_5': 0.03526743873953819, 'redshifts/outlier_fraction': 0.3283863961696625, 'redshifts/outlier_fraction_bin_0': 0.49223792552948, 'redshifts/outlier_fraction_bin_1': 0.35800817608833313, 'redshifts/outlier_fraction_bin_2': 0.2624327838420868, 'redshifts/outlier_fraction_bin_3': 0.19637012481689453, 'redshifts/outlier_fraction_bin_4': 0.18126888573169708, 'redshifts/outlier_fraction_bin_5': 0.09289203584194183, 'redshifts/outlier_fraction_cata': 0.08926595747470856, 'redshifts/outlier_fraction_cata_bin_0': 0.13335826992988586, 'redshifts/outlier_fraction_cata_bin_1': 0.10008452087640762, 'redshifts/outlier_fraction_cata_bin_2': 0.08030913770198822, 'redshifts/outlier_fraction_cata_bin_3': 0.055935733020305634, 'redshifts/outlier_fraction_cata_bin_4': 0.05488418787717819, 'redshifts/outlier_fraction_cata_bin_5': 0.016590870916843414}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|█████▉ | 932/1563 [1:29:53<1:01:55, 5.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58819.])\n", + "total num of pts: tensor([21406., 14207., 5959., 3362., 1988., 11897.])\n", + "{'redshifts/bias_abs': 0.07638981193304062, 'redshifts/bias_abs_bin_0': 0.14611338078975677, 'redshifts/bias_abs_bin_1': 0.09172537922859192, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004389310721307993, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 3.287196159362793e-05, 'redshifts/mse': 0.31296515464782715, 'redshifts/mse_bin_0': 0.43980473279953003, 'redshifts/mse_bin_1': 0.36679089069366455, 'redshifts/mse_bin_2': 0.2928767800331116, 'redshifts/mse_bin_3': 0.2186923772096634, 'redshifts/mse_bin_4': 0.21517932415008545, 'redshifts/mse_bin_5': 0.07351069897413254, 'redshifts/nmad': 0.11318319290876389, 'redshifts/nmad_bin_0': 0.21446073055267334, 'redshifts/nmad_bin_1': 0.13520878553390503, 'redshifts/nmad_bin_2': 0.08896832168102264, 'redshifts/nmad_bin_3': 0.0711974948644638, 'redshifts/nmad_bin_4': 0.06301098316907883, 'redshifts/nmad_bin_5': 0.03527724742889404, 'redshifts/outlier_fraction': 0.32834628224372864, 'redshifts/outlier_fraction_bin_0': 0.4922451674938202, 'redshifts/outlier_fraction_bin_1': 0.3579925298690796, 'redshifts/outlier_fraction_bin_2': 0.2626279592514038, 'redshifts/outlier_fraction_bin_3': 0.19631171226501465, 'redshifts/outlier_fraction_bin_4': 0.1815895438194275, 'redshifts/outlier_fraction_bin_5': 0.09279650449752808, 'redshifts/outlier_fraction_cata': 0.08927387744188309, 'redshifts/outlier_fraction_cata_bin_0': 0.13346725702285767, 'redshifts/outlier_fraction_cata_bin_1': 0.1000211164355278, 'redshifts/outlier_fraction_cata_bin_2': 0.08021479845046997, 'redshifts/outlier_fraction_cata_bin_3': 0.0559190958738327, 'redshifts/outlier_fraction_cata_bin_4': 0.05482897534966469, 'redshifts/outlier_fraction_cata_bin_5': 0.016642851755023003}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|█████▉ | 933/1563 [1:30:03<1:16:50, 7.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58883.])\n", + "total num of pts: tensor([21434., 14223., 5966., 3364., 1990., 11906.])\n", + "{'redshifts/bias_abs': 0.07635871320962906, 'redshifts/bias_abs_bin_0': 0.14605243504047394, 'redshifts/bias_abs_bin_1': 0.09172537922859192, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.0043938555754721165, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.00548197515308857, 'redshifts/bias_bin_5': 3.7926431105006486e-05, 'redshifts/mse': 0.3128560781478882, 'redshifts/mse_bin_0': 0.4395197033882141, 'redshifts/mse_bin_1': 0.3667227029800415, 'redshifts/mse_bin_2': 0.2926367223262787, 'redshifts/mse_bin_3': 0.2186306118965149, 'redshifts/mse_bin_4': 0.2157290130853653, 'redshifts/mse_bin_5': 0.07346580922603607, 'redshifts/nmad': 0.11318046599626541, 'redshifts/nmad_bin_0': 0.21438807249069214, 'redshifts/nmad_bin_1': 0.13517624139785767, 'redshifts/nmad_bin_2': 0.08890818804502487, 'redshifts/nmad_bin_3': 0.07134465873241425, 'redshifts/nmad_bin_4': 0.06283999234437943, 'redshifts/nmad_bin_5': 0.03528474271297455, 'redshifts/outlier_fraction': 0.32832905650138855, 'redshifts/outlier_fraction_bin_0': 0.49202200770378113, 'redshifts/outlier_fraction_bin_1': 0.3580116629600525, 'redshifts/outlier_fraction_bin_2': 0.2628226578235626, 'redshifts/outlier_fraction_bin_3': 0.19619500637054443, 'redshifts/outlier_fraction_bin_4': 0.18190954625606537, 'redshifts/outlier_fraction_bin_5': 0.09281034767627716, 'redshifts/outlier_fraction_cata': 0.08927874267101288, 'redshifts/outlier_fraction_cata_bin_0': 0.13343286514282227, 'redshifts/outlier_fraction_cata_bin_1': 0.1000492125749588, 'redshifts/outlier_fraction_cata_bin_2': 0.08012068271636963, 'redshifts/outlier_fraction_cata_bin_3': 0.05588585138320923, 'redshifts/outlier_fraction_cata_bin_4': 0.055276382714509964, 'redshifts/outlier_fraction_cata_bin_5': 0.016630269587039948}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|█████▉ | 934/1563 [1:30:09<1:11:49, 6.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([58954.])\n", + "total num of pts: tensor([21458., 14237., 5975., 3370., 1996., 11918.])\n", + "{'redshifts/bias_abs': 0.07630445063114166, 'redshifts/bias_abs_bin_0': 0.14600995182991028, 'redshifts/bias_abs_bin_1': 0.0917046070098877, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004389310721307993, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 3.905069752363488e-05, 'redshifts/mse': 0.3128318786621094, 'redshifts/mse_bin_0': 0.43952590227127075, 'redshifts/mse_bin_1': 0.36645081639289856, 'redshifts/mse_bin_2': 0.2922704815864563, 'redshifts/mse_bin_3': 0.21824732422828674, 'redshifts/mse_bin_4': 0.21823960542678833, 'redshifts/mse_bin_5': 0.07356541603803635, 'redshifts/nmad': 0.11311862617731094, 'redshifts/nmad_bin_0': 0.21433639526367188, 'redshifts/nmad_bin_1': 0.13513419032096863, 'redshifts/nmad_bin_2': 0.08881949633359909, 'redshifts/nmad_bin_3': 0.07111572474241257, 'redshifts/nmad_bin_4': 0.06302977353334427, 'redshifts/nmad_bin_5': 0.03525672107934952, 'redshifts/outlier_fraction': 0.32823896408081055, 'redshifts/outlier_fraction_bin_0': 0.4919843375682831, 'redshifts/outlier_fraction_bin_1': 0.35794058442115784, 'redshifts/outlier_fraction_bin_2': 0.2625941336154938, 'redshifts/outlier_fraction_bin_3': 0.19584569334983826, 'redshifts/outlier_fraction_bin_4': 0.1818637251853943, 'redshifts/outlier_fraction_bin_5': 0.0928008034825325, 'redshifts/outlier_fraction_cata': 0.08928995579481125, 'redshifts/outlier_fraction_cata_bin_0': 0.13351663947105408, 'redshifts/outlier_fraction_cata_bin_1': 0.09995083510875702, 'redshifts/outlier_fraction_cata_bin_2': 0.07999999821186066, 'redshifts/outlier_fraction_cata_bin_3': 0.05578634887933731, 'redshifts/outlier_fraction_cata_bin_4': 0.055611222982406616, 'redshifts/outlier_fraction_cata_bin_5': 0.016697432845830917}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|█████▉ | 935/1563 [1:30:14<1:06:05, 6.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59012.])\n", + "total num of pts: tensor([21482., 14252., 5981., 3370., 1997., 11930.])\n", + "{'redshifts/bias_abs': 0.07629765570163727, 'redshifts/bias_abs_bin_0': 0.14596201479434967, 'redshifts/bias_abs_bin_1': 0.09154060482978821, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.004400321748107672, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 4.273739250493236e-05, 'redshifts/mse': 0.3129042685031891, 'redshifts/mse_bin_0': 0.4394281208515167, 'redshifts/mse_bin_1': 0.36642712354660034, 'redshifts/mse_bin_2': 0.2927054762840271, 'redshifts/mse_bin_3': 0.21824732422828674, 'redshifts/mse_bin_4': 0.2181347757577896, 'redshifts/mse_bin_5': 0.07386399805545807, 'redshifts/nmad': 0.1130775585770607, 'redshifts/nmad_bin_0': 0.21431076526641846, 'redshifts/nmad_bin_1': 0.13509607315063477, 'redshifts/nmad_bin_2': 0.08907418698072433, 'redshifts/nmad_bin_3': 0.07111572474241257, 'redshifts/nmad_bin_4': 0.06302977353334427, 'redshifts/nmad_bin_5': 0.035251256078481674, 'redshifts/outlier_fraction': 0.3282891511917114, 'redshifts/outlier_fraction_bin_0': 0.4919002056121826, 'redshifts/outlier_fraction_bin_1': 0.3578445017337799, 'redshifts/outlier_fraction_bin_2': 0.26283231377601624, 'redshifts/outlier_fraction_bin_3': 0.19584569334983826, 'redshifts/outlier_fraction_bin_4': 0.18177266418933868, 'redshifts/outlier_fraction_bin_5': 0.0931265726685524, 'redshifts/outlier_fraction_cata': 0.08933775871992111, 'redshifts/outlier_fraction_cata_bin_0': 0.1335071176290512, 'redshifts/outlier_fraction_cata_bin_1': 0.09998596459627151, 'redshifts/outlier_fraction_cata_bin_2': 0.08008693903684616, 'redshifts/outlier_fraction_cata_bin_3': 0.05578634887933731, 'redshifts/outlier_fraction_cata_bin_4': 0.05558337643742561, 'redshifts/outlier_fraction_cata_bin_5': 0.016848281025886536}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|█████▉ | 936/1563 [1:30:19<1:02:17, 5.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59084.])\n", + "total num of pts: tensor([21504., 14273., 5990., 3374., 1999., 11944.])\n", + "{'redshifts/bias_abs': 0.0763169378042221, 'redshifts/bias_abs_bin_0': 0.14600995182991028, 'redshifts/bias_abs_bin_1': 0.09162174165248871, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004400321748107672, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.006412249058485031, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.3128867745399475, 'redshifts/mse_bin_0': 0.4394935071468353, 'redshifts/mse_bin_1': 0.3664162755012512, 'redshifts/mse_bin_2': 0.2925622761249542, 'redshifts/mse_bin_3': 0.21811553835868835, 'redshifts/mse_bin_4': 0.2181335836648941, 'redshifts/mse_bin_5': 0.07379777729511261, 'redshifts/nmad': 0.11314114183187485, 'redshifts/nmad_bin_0': 0.2143237590789795, 'redshifts/nmad_bin_1': 0.13511770963668823, 'redshifts/nmad_bin_2': 0.08907418698072433, 'redshifts/nmad_bin_3': 0.07109373807907104, 'redshifts/nmad_bin_4': 0.06305910646915436, 'redshifts/nmad_bin_5': 0.03529224544763565, 'redshifts/outlier_fraction': 0.32837992906570435, 'redshifts/outlier_fraction_bin_0': 0.492001473903656, 'redshifts/outlier_fraction_bin_1': 0.3580887019634247, 'redshifts/outlier_fraction_bin_2': 0.26277127861976624, 'redshifts/outlier_fraction_bin_3': 0.19590990245342255, 'redshifts/outlier_fraction_bin_4': 0.18209104239940643, 'redshifts/outlier_fraction_bin_5': 0.0931011363863945, 'redshifts/outlier_fraction_cata': 0.08936429768800735, 'redshifts/outlier_fraction_cata_bin_0': 0.1335565447807312, 'redshifts/outlier_fraction_cata_bin_1': 0.10004904121160507, 'redshifts/outlier_fraction_cata_bin_2': 0.08013355731964111, 'redshifts/outlier_fraction_cata_bin_3': 0.055720213800668716, 'redshifts/outlier_fraction_cata_bin_4': 0.055527765303850174, 'redshifts/outlier_fraction_cata_bin_5': 0.01682853326201439}\n", + "total num of pts: tensor([59143.])\n", + "total num of pts: tensor([21532., 14286., 5995., 3378., 2001., 11951.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|█████▉ | 937/1563 [1:30:24<59:09, 5.67s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07632797956466675, 'redshifts/bias_abs_bin_0': 0.14606530964374542, 'redshifts/bias_abs_bin_1': 0.0915614441037178, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004402024205774069, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.006412249058485031, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 5.501848499989137e-05, 'redshifts/mse': 0.3130694329738617, 'redshifts/mse_bin_0': 0.4396499991416931, 'redshifts/mse_bin_1': 0.3667575418949127, 'redshifts/mse_bin_2': 0.29255908727645874, 'redshifts/mse_bin_3': 0.21788737177848816, 'redshifts/mse_bin_4': 0.21911172568798065, 'redshifts/mse_bin_5': 0.07375556975603104, 'redshifts/nmad': 0.11314433813095093, 'redshifts/nmad_bin_0': 0.21436944603919983, 'redshifts/nmad_bin_1': 0.13513897359371185, 'redshifts/nmad_bin_2': 0.0891554057598114, 'redshifts/nmad_bin_3': 0.07117906957864761, 'redshifts/nmad_bin_4': 0.06305910646915436, 'redshifts/nmad_bin_5': 0.03529166430234909, 'redshifts/outlier_fraction': 0.32844123244285583, 'redshifts/outlier_fraction_bin_0': 0.49210476875305176, 'redshifts/outlier_fraction_bin_1': 0.35804283618927, 'redshifts/outlier_fraction_bin_2': 0.26271894574165344, 'redshifts/outlier_fraction_bin_3': 0.1959739476442337, 'redshifts/outlier_fraction_bin_4': 0.18240879476070404, 'redshifts/outlier_fraction_bin_5': 0.09304660558700562, 'redshifts/outlier_fraction_cata': 0.08942732214927673, 'redshifts/outlier_fraction_cata_bin_0': 0.13361509144306183, 'redshifts/outlier_fraction_cata_bin_1': 0.10009799897670746, 'redshifts/outlier_fraction_cata_bin_2': 0.08023352921009064, 'redshifts/outlier_fraction_cata_bin_3': 0.05565423145890236, 'redshifts/outlier_fraction_cata_bin_4': 0.055972013622522354, 'redshifts/outlier_fraction_cata_bin_5': 0.01681867614388466}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|██████ | 938/1563 [1:30:35<1:14:17, 7.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59207.])\n", + "total num of pts: tensor([21552., 14303., 6003., 3380., 2003., 11966.])\n", + "{'redshifts/bias_abs': 0.07630721479654312, 'redshifts/bias_abs_bin_0': 0.14600995182991028, 'redshifts/bias_abs_bin_1': 0.09154060482978821, 'redshifts/bias_abs_bin_2': 0.059872232377529144, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.0044107139110565186, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.00548197515308857, 'redshifts/bias_bin_5': 5.830815644003451e-05, 'redshifts/mse': 0.3130158483982086, 'redshifts/mse_bin_0': 0.4394320547580719, 'redshifts/mse_bin_1': 0.366799920797348, 'redshifts/mse_bin_2': 0.2930173873901367, 'redshifts/mse_bin_3': 0.2177586853504181, 'redshifts/mse_bin_4': 0.21889358758926392, 'redshifts/mse_bin_5': 0.07373243570327759, 'redshifts/nmad': 0.11308688670396805, 'redshifts/nmad_bin_0': 0.21434082090854645, 'redshifts/nmad_bin_1': 0.13507269322872162, 'redshifts/nmad_bin_2': 0.08895887434482574, 'redshifts/nmad_bin_3': 0.07111572474241257, 'redshifts/nmad_bin_4': 0.06283999234437943, 'redshifts/nmad_bin_5': 0.035286787897348404, 'redshifts/outlier_fraction': 0.32835644483566284, 'redshifts/outlier_fraction_bin_0': 0.49201929569244385, 'redshifts/outlier_fraction_bin_1': 0.35789695382118225, 'redshifts/outlier_fraction_bin_2': 0.26270198822021484, 'redshifts/outlier_fraction_bin_3': 0.19585798680782318, 'redshifts/outlier_fraction_bin_4': 0.18222665786743164, 'redshifts/outlier_fraction_bin_5': 0.09309710562229156, 'redshifts/outlier_fraction_cata': 0.08941510319709778, 'redshifts/outlier_fraction_cata_bin_0': 0.1335838884115219, 'redshifts/outlier_fraction_cata_bin_1': 0.10011885315179825, 'redshifts/outlier_fraction_cata_bin_2': 0.0802931860089302, 'redshifts/outlier_fraction_cata_bin_3': 0.055621303617954254, 'redshifts/outlier_fraction_cata_bin_4': 0.05591612681746483, 'redshifts/outlier_fraction_cata_bin_5': 0.016797592863440514}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|██████ | 939/1563 [1:30:39<1:05:19, 6.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59298.])\n", + "total num of pts: tensor([21577., 14334., 6013., 3385., 2007., 11982.])\n", + "{'redshifts/bias_abs': 0.07627314329147339, 'redshifts/bias_abs_bin_0': 0.14596180617809296, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004389310721307993, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010792608372867107, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.00548197515308857, 'redshifts/bias_bin_5': 5.655017594108358e-05, 'redshifts/mse': 0.31284254789352417, 'redshifts/mse_bin_0': 0.43931326270103455, 'redshifts/mse_bin_1': 0.3665218651294708, 'redshifts/mse_bin_2': 0.2928236424922943, 'redshifts/mse_bin_3': 0.21755540370941162, 'redshifts/mse_bin_4': 0.21847328543663025, 'redshifts/mse_bin_5': 0.0736507847905159, 'redshifts/nmad': 0.11306591331958771, 'redshifts/nmad_bin_0': 0.2143237590789795, 'redshifts/nmad_bin_1': 0.1347408890724182, 'redshifts/nmad_bin_2': 0.08894149959087372, 'redshifts/nmad_bin_3': 0.07128685712814331, 'redshifts/nmad_bin_4': 0.06279796361923218, 'redshifts/nmad_bin_5': 0.03528189659118652, 'redshifts/outlier_fraction': 0.3282066881656647, 'redshifts/outlier_fraction_bin_0': 0.4918663501739502, 'redshifts/outlier_fraction_bin_1': 0.3574717342853546, 'redshifts/outlier_fraction_bin_2': 0.26276400685310364, 'redshifts/outlier_fraction_bin_3': 0.19675037264823914, 'redshifts/outlier_fraction_bin_4': 0.181863471865654, 'redshifts/outlier_fraction_bin_5': 0.09297279268503189, 'redshifts/outlier_fraction_cata': 0.08936220407485962, 'redshifts/outlier_fraction_cata_bin_0': 0.13352181017398834, 'redshifts/outlier_fraction_cata_bin_1': 0.10004185885190964, 'redshifts/outlier_fraction_cata_bin_2': 0.08032596111297607, 'redshifts/outlier_fraction_cata_bin_3': 0.05553914234042168, 'redshifts/outlier_fraction_cata_bin_4': 0.05580468475818634, 'redshifts/outlier_fraction_cata_bin_5': 0.016775162890553474}\n", + "total num of pts: tensor([59355.])\n", + "total num of pts: tensor([21596., 14350., 6019., 3389., 2009., 11992.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|██████ | 940/1563 [1:30:45<1:04:57, 6.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07626606523990631, 'redshifts/bias_abs_bin_0': 0.1459546834230423, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.0043913801200687885, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.01079467497766018, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.00548197515308857, 'redshifts/bias_bin_5': 5.538789264392108e-05, 'redshifts/mse': 0.3128248453140259, 'redshifts/mse_bin_0': 0.4393687844276428, 'redshifts/mse_bin_1': 0.3665533661842346, 'redshifts/mse_bin_2': 0.2926294207572937, 'redshifts/mse_bin_3': 0.21732063591480255, 'redshifts/mse_bin_4': 0.21826624870300293, 'redshifts/mse_bin_5': 0.0736088752746582, 'redshifts/nmad': 0.11305014044046402, 'redshifts/nmad_bin_0': 0.21431350708007812, 'redshifts/nmad_bin_1': 0.13478267192840576, 'redshifts/nmad_bin_2': 0.08878903090953827, 'redshifts/nmad_bin_3': 0.0711974948644638, 'redshifts/nmad_bin_4': 0.06279796361923218, 'redshifts/nmad_bin_5': 0.035291120409965515, 'redshifts/outlier_fraction': 0.32814422249794006, 'redshifts/outlier_fraction_bin_0': 0.491850346326828, 'redshifts/outlier_fraction_bin_1': 0.3573519289493561, 'redshifts/outlier_fraction_bin_2': 0.2626682221889496, 'redshifts/outlier_fraction_bin_3': 0.1965181529521942, 'redshifts/outlier_fraction_bin_4': 0.18168242275714874, 'redshifts/outlier_fraction_bin_5': 0.09297864884138107, 'redshifts/outlier_fraction_cata': 0.08936062455177307, 'redshifts/outlier_fraction_cata_bin_0': 0.1335432529449463, 'redshifts/outlier_fraction_cata_bin_1': 0.10006968677043915, 'redshifts/outlier_fraction_cata_bin_2': 0.08024588972330093, 'redshifts/outlier_fraction_cata_bin_3': 0.05547359213232994, 'redshifts/outlier_fraction_cata_bin_4': 0.05574912950396538, 'redshifts/outlier_fraction_cata_bin_5': 0.01676117442548275}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|██████ | 941/1563 [1:30:51<1:03:43, 6.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59420.])\n", + "total num of pts: tensor([21619., 14368., 6027., 3390., 2011., 12005.])\n", + "{'redshifts/bias_abs': 0.07624242454767227, 'redshifts/bias_abs_bin_0': 0.1459546834230423, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.0043913801200687885, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.01079730223864317, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.005414244718849659, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.3126961886882782, 'redshifts/mse_bin_0': 0.4391895830631256, 'redshifts/mse_bin_1': 0.3664896786212921, 'redshifts/mse_bin_2': 0.2922607660293579, 'redshifts/mse_bin_3': 0.21736358106136322, 'redshifts/mse_bin_4': 0.21805185079574585, 'redshifts/mse_bin_5': 0.07355327159166336, 'redshifts/nmad': 0.11298973858356476, 'redshifts/nmad_bin_0': 0.21431076526641846, 'redshifts/nmad_bin_1': 0.13477878272533417, 'redshifts/nmad_bin_2': 0.08877019584178925, 'redshifts/nmad_bin_3': 0.07118583470582962, 'redshifts/nmad_bin_4': 0.06257397681474686, 'redshifts/nmad_bin_5': 0.03530459105968475, 'redshifts/outlier_fraction': 0.328155517578125, 'redshifts/outlier_fraction_bin_0': 0.49183589220046997, 'redshifts/outlier_fraction_bin_1': 0.3573914170265198, 'redshifts/outlier_fraction_bin_2': 0.26248547434806824, 'redshifts/outlier_fraction_bin_3': 0.19675515592098236, 'redshifts/outlier_fraction_bin_4': 0.18150174617767334, 'redshifts/outlier_fraction_bin_5': 0.09304456412792206, 'redshifts/outlier_fraction_cata': 0.08933018893003464, 'redshifts/outlier_fraction_cata_bin_0': 0.13349369168281555, 'redshifts/outlier_fraction_cata_bin_1': 0.10008352249860764, 'redshifts/outlier_fraction_cata_bin_2': 0.08013937622308731, 'redshifts/outlier_fraction_cata_bin_3': 0.0554572269320488, 'redshifts/outlier_fraction_cata_bin_4': 0.05569368600845337, 'redshifts/outlier_fraction_cata_bin_5': 0.016743022948503494}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|██████ | 942/1563 [1:30:57<1:00:43, 5.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59499.])\n", + "total num of pts: tensor([21652., 14386., 6035., 3395., 2013., 12018.])\n", + "{'redshifts/bias_abs': 0.07626606523990631, 'redshifts/bias_abs_bin_0': 0.1458388715982437, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.00548197515308857, 'redshifts/bias_bin_5': 4.356826684670523e-05, 'redshifts/mse': 0.31279245018959045, 'redshifts/mse_bin_0': 0.4390200972557068, 'redshifts/mse_bin_1': 0.3672311007976532, 'redshifts/mse_bin_2': 0.29193389415740967, 'redshifts/mse_bin_3': 0.21705417335033417, 'redshifts/mse_bin_4': 0.21874071657657623, 'redshifts/mse_bin_5': 0.07348356395959854, 'redshifts/nmad': 0.113059863448143, 'redshifts/nmad_bin_0': 0.21418605744838715, 'redshifts/nmad_bin_1': 0.1349753886461258, 'redshifts/nmad_bin_2': 0.08877019584178925, 'redshifts/nmad_bin_3': 0.07111543416976929, 'redshifts/nmad_bin_4': 0.06279796361923218, 'redshifts/nmad_bin_5': 0.03530864045023918, 'redshifts/outlier_fraction': 0.3281063437461853, 'redshifts/outlier_fraction_bin_0': 0.49150192737579346, 'redshifts/outlier_fraction_bin_1': 0.3576393723487854, 'redshifts/outlier_fraction_bin_2': 0.2623032331466675, 'redshifts/outlier_fraction_bin_3': 0.1964653879404068, 'redshifts/outlier_fraction_bin_4': 0.1823149472475052, 'redshifts/outlier_fraction_bin_5': 0.09302712231874466, 'redshifts/outlier_fraction_cata': 0.08939646184444427, 'redshifts/outlier_fraction_cata_bin_0': 0.13347496092319489, 'redshifts/outlier_fraction_cata_bin_1': 0.10037536174058914, 'redshifts/outlier_fraction_cata_bin_2': 0.08003313839435577, 'redshifts/outlier_fraction_cata_bin_3': 0.05537555366754532, 'redshifts/outlier_fraction_cata_bin_4': 0.05613512173295021, 'redshifts/outlier_fraction_cata_bin_5': 0.01672491244971752}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|██████ | 943/1563 [1:31:02<59:12, 5.73s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59556.])\n", + "total num of pts: tensor([21674., 14397., 6041., 3398., 2015., 12031.])\n", + "{'redshifts/bias_abs': 0.07628194242715836, 'redshifts/bias_abs_bin_0': 0.1458316147327423, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004377124831080437, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.01081590261310339, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 4.273739250493236e-05, 'redshifts/mse': 0.31268101930618286, 'redshifts/mse_bin_0': 0.43896687030792236, 'redshifts/mse_bin_1': 0.3670460283756256, 'redshifts/mse_bin_2': 0.2916657030582428, 'redshifts/mse_bin_3': 0.21693414449691772, 'redshifts/mse_bin_4': 0.21868842840194702, 'redshifts/mse_bin_5': 0.07345463335514069, 'redshifts/nmad': 0.11308397352695465, 'redshifts/nmad_bin_0': 0.21415717899799347, 'redshifts/nmad_bin_1': 0.13497014343738556, 'redshifts/nmad_bin_2': 0.08874256908893585, 'redshifts/nmad_bin_3': 0.07115708291530609, 'redshifts/nmad_bin_4': 0.06301098316907883, 'redshifts/nmad_bin_5': 0.035318244248628616, 'redshifts/outlier_fraction': 0.3280777633190155, 'redshifts/outlier_fraction_bin_0': 0.49146443605422974, 'redshifts/outlier_fraction_bin_1': 0.3575744926929474, 'redshifts/outlier_fraction_bin_2': 0.26204270124435425, 'redshifts/outlier_fraction_bin_3': 0.1965862214565277, 'redshifts/outlier_fraction_bin_4': 0.1826302707195282, 'redshifts/outlier_fraction_bin_5': 0.09309284389019012, 'redshifts/outlier_fraction_cata': 0.089361272752285, 'redshifts/outlier_fraction_cata_bin_0': 0.13347789645195007, 'redshifts/outlier_fraction_cata_bin_1': 0.100298672914505, 'redshifts/outlier_fraction_cata_bin_2': 0.0799536481499672, 'redshifts/outlier_fraction_cata_bin_3': 0.055326662957668304, 'redshifts/outlier_fraction_cata_bin_4': 0.056079406291246414, 'redshifts/outlier_fraction_cata_bin_5': 0.016706841066479683}\n", + "total num of pts: tensor([59634.])\n", + "total num of pts: tensor([21692., 14416., 6052., 3403., 2019., 12052.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|██████ | 944/1563 [1:31:07<58:38, 5.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624242454767227, 'redshifts/bias_abs_bin_0': 0.14577534794807434, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004389310721307993, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010832765139639378, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.31256791949272156, 'redshifts/mse_bin_0': 0.43889907002449036, 'redshifts/mse_bin_1': 0.36665183305740356, 'redshifts/mse_bin_2': 0.2919963002204895, 'redshifts/mse_bin_3': 0.2166709005832672, 'redshifts/mse_bin_4': 0.21982039511203766, 'redshifts/mse_bin_5': 0.07344004511833191, 'redshifts/nmad': 0.11298307031393051, 'redshifts/nmad_bin_0': 0.21409349143505096, 'redshifts/nmad_bin_1': 0.1347825825214386, 'redshifts/nmad_bin_2': 0.08870735764503479, 'redshifts/nmad_bin_3': 0.07111543416976929, 'redshifts/nmad_bin_4': 0.06295915693044662, 'redshifts/nmad_bin_5': 0.03530459105968475, 'redshifts/outlier_fraction': 0.3279840350151062, 'redshifts/outlier_fraction_bin_0': 0.49142542481422424, 'redshifts/outlier_fraction_bin_1': 0.3573806881904602, 'redshifts/outlier_fraction_bin_2': 0.262062132358551, 'redshifts/outlier_fraction_bin_3': 0.19659124314785004, 'redshifts/outlier_fraction_bin_4': 0.1827637404203415, 'redshifts/outlier_fraction_bin_5': 0.09317955374717712, 'redshifts/outlier_fraction_cata': 0.08929469436407089, 'redshifts/outlier_fraction_cata_bin_0': 0.13341324031352997, 'redshifts/outlier_fraction_cata_bin_1': 0.10016648471355438, 'redshifts/outlier_fraction_cata_bin_2': 0.07997356355190277, 'redshifts/outlier_fraction_cata_bin_3': 0.05524537339806557, 'redshifts/outlier_fraction_cata_bin_4': 0.05646359547972679, 'redshifts/outlier_fraction_cata_bin_5': 0.016677729785442352}\n", + "total num of pts: tensor([59707.])\n", + "total num of pts: tensor([21717., 14439., 6056., 3403., 2021., 12071.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 60%|██████ | 945/1563 [1:31:12<55:24, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07618693262338638, 'redshifts/bias_abs_bin_0': 0.14563043415546417, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.00438218517228961, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.01081590261310339, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 5.538789264392108e-05, 'redshifts/mse': 0.3123008608818054, 'redshifts/mse_bin_0': 0.43861493468284607, 'redshifts/mse_bin_1': 0.36618852615356445, 'redshifts/mse_bin_2': 0.29181402921676636, 'redshifts/mse_bin_3': 0.2166709005832672, 'redshifts/mse_bin_4': 0.21960338950157166, 'redshifts/mse_bin_5': 0.07334617525339127, 'redshifts/nmad': 0.1129353791475296, 'redshifts/nmad_bin_0': 0.2138957679271698, 'redshifts/nmad_bin_1': 0.1347484588623047, 'redshifts/nmad_bin_2': 0.08860926330089569, 'redshifts/nmad_bin_3': 0.07111543416976929, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.03529948741197586, 'redshifts/outlier_fraction': 0.32778400182724, 'redshifts/outlier_fraction_bin_0': 0.49108994007110596, 'redshifts/outlier_fraction_bin_1': 0.3572269678115845, 'redshifts/outlier_fraction_bin_2': 0.2618890404701233, 'redshifts/outlier_fraction_bin_3': 0.19659124314785004, 'redshifts/outlier_fraction_bin_4': 0.18258288502693176, 'redshifts/outlier_fraction_bin_5': 0.09311573207378387, 'redshifts/outlier_fraction_cata': 0.08921901881694794, 'redshifts/outlier_fraction_cata_bin_0': 0.13335175812244415, 'redshifts/outlier_fraction_cata_bin_1': 0.10000692307949066, 'redshifts/outlier_fraction_cata_bin_2': 0.07992073893547058, 'redshifts/outlier_fraction_cata_bin_3': 0.05524537339806557, 'redshifts/outlier_fraction_cata_bin_4': 0.05640771985054016, 'redshifts/outlier_fraction_cata_bin_5': 0.01665147952735424}\n", + "total num of pts: tensor([59770.])\n", + "total num of pts: tensor([21747., 14454., 6063., 3405., 2021., 12080.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 946/1563 [1:31:17<52:29, 5.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07619885355234146, 'redshifts/bias_abs_bin_0': 0.14554846286773682, 'redshifts/bias_abs_bin_1': 0.09130492806434631, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.029136130586266518, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 4.356826684670523e-05, 'redshifts/mse': 0.31238293647766113, 'redshifts/mse_bin_0': 0.4386155903339386, 'redshifts/mse_bin_1': 0.36636167764663696, 'redshifts/mse_bin_2': 0.29200413823127747, 'redshifts/mse_bin_3': 0.2165454626083374, 'redshifts/mse_bin_4': 0.21960338950157166, 'redshifts/mse_bin_5': 0.07330888509750366, 'redshifts/nmad': 0.11295565217733383, 'redshifts/nmad_bin_0': 0.21390166878700256, 'redshifts/nmad_bin_1': 0.13470207154750824, 'redshifts/nmad_bin_2': 0.08873874694108963, 'redshifts/nmad_bin_3': 0.07111543416976929, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.035291098058223724, 'redshifts/outlier_fraction': 0.327756404876709, 'redshifts/outlier_fraction_bin_0': 0.49096426367759705, 'redshifts/outlier_fraction_bin_1': 0.3572021722793579, 'redshifts/outlier_fraction_bin_2': 0.26191654801368713, 'redshifts/outlier_fraction_bin_3': 0.1964757740497589, 'redshifts/outlier_fraction_bin_4': 0.18258288502693176, 'redshifts/outlier_fraction_bin_5': 0.09304635971784592, 'redshifts/outlier_fraction_cata': 0.08924209326505661, 'redshifts/outlier_fraction_cata_bin_0': 0.13330574333667755, 'redshifts/outlier_fraction_cata_bin_1': 0.10004150867462158, 'redshifts/outlier_fraction_cata_bin_2': 0.08015833795070648, 'redshifts/outlier_fraction_cata_bin_3': 0.055212922394275665, 'redshifts/outlier_fraction_cata_bin_4': 0.05640771985054016, 'redshifts/outlier_fraction_cata_bin_5': 0.016639072448015213}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 947/1563 [1:31:22<52:17, 5.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59823.])\n", + "total num of pts: tensor([21773., 14461., 6070., 3407., 2026., 12086.])\n", + "{'redshifts/bias_abs': 0.07620248943567276, 'redshifts/bias_abs_bin_0': 0.14563043415546417, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004402677062898874, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 5.501848499989137e-05, 'redshifts/mse': 0.3124557435512543, 'redshifts/mse_bin_0': 0.438582181930542, 'redshifts/mse_bin_1': 0.36634618043899536, 'redshifts/mse_bin_2': 0.2924393117427826, 'redshifts/mse_bin_3': 0.21642223000526428, 'redshifts/mse_bin_4': 0.21991875767707825, 'redshifts/mse_bin_5': 0.07339291274547577, 'redshifts/nmad': 0.11297526955604553, 'redshifts/nmad_bin_0': 0.21399375796318054, 'redshifts/nmad_bin_1': 0.1346798688173294, 'redshifts/nmad_bin_2': 0.08875971287488937, 'redshifts/nmad_bin_3': 0.07112803310155869, 'redshifts/nmad_bin_4': 0.06289312988519669, 'redshifts/nmad_bin_5': 0.035310082137584686, 'redshifts/outlier_fraction': 0.32783377170562744, 'redshifts/outlier_fraction_bin_0': 0.4911128580570221, 'redshifts/outlier_fraction_bin_1': 0.3571675419807434, 'redshifts/outlier_fraction_bin_2': 0.261779248714447, 'redshifts/outlier_fraction_bin_3': 0.19636043906211853, 'redshifts/outlier_fraction_bin_4': 0.18262585997581482, 'redshifts/outlier_fraction_bin_5': 0.09316564351320267, 'redshifts/outlier_fraction_cata': 0.08926332741975784, 'redshifts/outlier_fraction_cata_bin_0': 0.13323841989040375, 'redshifts/outlier_fraction_cata_bin_1': 0.10006223618984222, 'redshifts/outlier_fraction_cata_bin_2': 0.08023064583539963, 'redshifts/outlier_fraction_cata_bin_3': 0.05518051236867905, 'redshifts/outlier_fraction_cata_bin_4': 0.05676209181547165, 'redshifts/outlier_fraction_cata_bin_5': 0.016713552176952362}\n", + "total num of pts: tensor([59892.])\n", + "total num of pts: tensor([21797., 14478., 6081., 3408., 2030., 12098.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 948/1563 [1:31:26<49:26, 4.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07622277736663818, 'redshifts/bias_abs_bin_0': 0.14563043415546417, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004400321748107672, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 5.655017594108358e-05, 'redshifts/mse': 0.3124455511569977, 'redshifts/mse_bin_0': 0.4386475682258606, 'redshifts/mse_bin_1': 0.3662949502468109, 'redshifts/mse_bin_2': 0.29222771525382996, 'redshifts/mse_bin_3': 0.216360941529274, 'redshifts/mse_bin_4': 0.2198629081249237, 'redshifts/mse_bin_5': 0.07338723540306091, 'redshifts/nmad': 0.11298511922359467, 'redshifts/nmad_bin_0': 0.21396732330322266, 'redshifts/nmad_bin_1': 0.1346317082643509, 'redshifts/nmad_bin_2': 0.08870735764503479, 'redshifts/nmad_bin_3': 0.07112803310155869, 'redshifts/nmad_bin_4': 0.06297759711742401, 'redshifts/nmad_bin_5': 0.03531034663319588, 'redshifts/outlier_fraction': 0.3278234302997589, 'redshifts/outlier_fraction_bin_0': 0.49112263321876526, 'redshifts/outlier_fraction_bin_1': 0.3569553792476654, 'redshifts/outlier_fraction_bin_2': 0.26179903745651245, 'redshifts/outlier_fraction_bin_3': 0.19630281627178192, 'redshifts/outlier_fraction_bin_4': 0.18374384939670563, 'redshifts/outlier_fraction_bin_5': 0.0931558907032013, 'redshifts/outlier_fraction_cata': 0.08926066756248474, 'redshifts/outlier_fraction_cata_bin_0': 0.13327522575855255, 'redshifts/outlier_fraction_cata_bin_1': 0.10001381486654282, 'redshifts/outlier_fraction_cata_bin_2': 0.08024995774030685, 'redshifts/outlier_fraction_cata_bin_3': 0.05516431853175163, 'redshifts/outlier_fraction_cata_bin_4': 0.05665024742484093, 'redshifts/outlier_fraction_cata_bin_5': 0.016696974635124207}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 949/1563 [1:31:33<56:14, 5.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([59952.])\n", + "total num of pts: tensor([21827., 14490., 6085., 3410., 2030., 12110.])\n", + "{'redshifts/bias_abs': 0.07624242454767227, 'redshifts/bias_abs_bin_0': 0.14554846286773682, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004426985047757626, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010832765139639378, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 5.501848499989137e-05, 'redshifts/mse': 0.31236526370048523, 'redshifts/mse_bin_0': 0.438518762588501, 'redshifts/mse_bin_1': 0.3660954535007477, 'redshifts/mse_bin_2': 0.2921716868877411, 'redshifts/mse_bin_3': 0.21626624464988708, 'redshifts/mse_bin_4': 0.2198629081249237, 'redshifts/mse_bin_5': 0.0734088197350502, 'redshifts/nmad': 0.11301131546497345, 'redshifts/nmad_bin_0': 0.2139960378408432, 'redshifts/nmad_bin_1': 0.13462011516094208, 'redshifts/nmad_bin_2': 0.08872171491384506, 'redshifts/nmad_bin_3': 0.0711974948644638, 'redshifts/nmad_bin_4': 0.06297759711742401, 'redshifts/nmad_bin_5': 0.035310082137584686, 'redshifts/outlier_fraction': 0.3278122544288635, 'redshifts/outlier_fraction_bin_0': 0.4909515678882599, 'redshifts/outlier_fraction_bin_1': 0.3568668067455292, 'redshifts/outlier_fraction_bin_2': 0.26211997866630554, 'redshifts/outlier_fraction_bin_3': 0.19618768990039825, 'redshifts/outlier_fraction_bin_4': 0.18374384939670563, 'redshifts/outlier_fraction_bin_5': 0.09322873502969742, 'redshifts/outlier_fraction_cata': 0.08922138065099716, 'redshifts/outlier_fraction_cata_bin_0': 0.13322947919368744, 'redshifts/outlier_fraction_cata_bin_1': 0.09993098676204681, 'redshifts/outlier_fraction_cata_bin_2': 0.08019720762968063, 'redshifts/outlier_fraction_cata_bin_3': 0.05513196438550949, 'redshifts/outlier_fraction_cata_bin_4': 0.05665024742484093, 'redshifts/outlier_fraction_cata_bin_5': 0.016680428758263588}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 950/1563 [1:31:40<1:00:02, 5.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60007.])\n", + "total num of pts: tensor([21847., 14508., 6090., 3410., 2031., 12121.])\n", + "{'redshifts/bias_abs': 0.07623326778411865, 'redshifts/bias_abs_bin_0': 0.1455247700214386, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.0044107139110565186, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 5.501848499989137e-05, 'redshifts/mse': 0.31225427985191345, 'redshifts/mse_bin_0': 0.4383946657180786, 'redshifts/mse_bin_1': 0.3659304082393646, 'redshifts/mse_bin_2': 0.29194483160972595, 'redshifts/mse_bin_3': 0.21626624464988708, 'redshifts/mse_bin_4': 0.2197621464729309, 'redshifts/mse_bin_5': 0.07335614413022995, 'redshifts/nmad': 0.11298719048500061, 'redshifts/nmad_bin_0': 0.2139827162027359, 'redshifts/nmad_bin_1': 0.1346317082643509, 'redshifts/nmad_bin_2': 0.08859013020992279, 'redshifts/nmad_bin_3': 0.0711974948644638, 'redshifts/nmad_bin_4': 0.06299673765897751, 'redshifts/nmad_bin_5': 0.035328466445207596, 'redshifts/outlier_fraction': 0.3277117609977722, 'redshifts/outlier_fraction_bin_0': 0.49082252383232117, 'redshifts/outlier_fraction_bin_1': 0.35669976472854614, 'redshifts/outlier_fraction_bin_2': 0.261904776096344, 'redshifts/outlier_fraction_bin_3': 0.19618768990039825, 'redshifts/outlier_fraction_bin_4': 0.18365336954593658, 'redshifts/outlier_fraction_bin_5': 0.09322663396596909, 'redshifts/outlier_fraction_cata': 0.0892062559723854, 'redshifts/outlier_fraction_cata_bin_0': 0.1331990659236908, 'redshifts/outlier_fraction_cata_bin_1': 0.09994485974311829, 'redshifts/outlier_fraction_cata_bin_2': 0.08013135939836502, 'redshifts/outlier_fraction_cata_bin_3': 0.05513196438550949, 'redshifts/outlier_fraction_cata_bin_4': 0.056622352451086044, 'redshifts/outlier_fraction_cata_bin_5': 0.016665291041135788}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 951/1563 [1:31:47<1:04:56, 6.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60068.])\n", + "total num of pts: tensor([21874., 14522., 6094., 3412., 2031., 12135.])\n", + "{'redshifts/bias_abs': 0.07622277736663818, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004411892034113407, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 4.356826684670523e-05, 'redshifts/mse': 0.3122899830341339, 'redshifts/mse_bin_0': 0.4384414255619049, 'redshifts/mse_bin_1': 0.36573725938796997, 'redshifts/mse_bin_2': 0.29198190569877625, 'redshifts/mse_bin_3': 0.21735268831253052, 'redshifts/mse_bin_4': 0.2197621464729309, 'redshifts/mse_bin_5': 0.0733114555478096, 'redshifts/nmad': 0.1129712462425232, 'redshifts/nmad_bin_0': 0.21387380361557007, 'redshifts/nmad_bin_1': 0.13456487655639648, 'redshifts/nmad_bin_2': 0.08859490603208542, 'redshifts/nmad_bin_3': 0.07128685712814331, 'redshifts/nmad_bin_4': 0.06299673765897751, 'redshifts/nmad_bin_5': 0.03534544259309769, 'redshifts/outlier_fraction': 0.3276952803134918, 'redshifts/outlier_fraction_bin_0': 0.4905824363231659, 'redshifts/outlier_fraction_bin_1': 0.35676902532577515, 'redshifts/outlier_fraction_bin_2': 0.2620610296726227, 'redshifts/outlier_fraction_bin_3': 0.19665884971618652, 'redshifts/outlier_fraction_bin_4': 0.18365336954593658, 'redshifts/outlier_fraction_bin_5': 0.09320148080587387, 'redshifts/outlier_fraction_cata': 0.08921555429697037, 'redshifts/outlier_fraction_cata_bin_0': 0.13321751356124878, 'redshifts/outlier_fraction_cata_bin_1': 0.09984850883483887, 'redshifts/outlier_fraction_cata_bin_2': 0.08024286478757858, 'redshifts/outlier_fraction_cata_bin_3': 0.055392730981111526, 'redshifts/outlier_fraction_cata_bin_4': 0.056622352451086044, 'redshifts/outlier_fraction_cata_bin_5': 0.016646064817905426}\n", + "total num of pts: tensor([60132.])\n", + "total num of pts: tensor([21895., 14534., 6103., 3416., 2036., 12148.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 952/1563 [1:31:53<1:04:06, 6.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07619885355234146, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004424875136464834, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.005824168212711811, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.31240880489349365, 'redshifts/mse_bin_0': 0.4388616681098938, 'redshifts/mse_bin_1': 0.365843802690506, 'redshifts/mse_bin_2': 0.2916995584964752, 'redshifts/mse_bin_3': 0.2171284556388855, 'redshifts/mse_bin_4': 0.21949496865272522, 'redshifts/mse_bin_5': 0.07333405315876007, 'redshifts/nmad': 0.1129070594906807, 'redshifts/nmad_bin_0': 0.213961660861969, 'redshifts/nmad_bin_1': 0.13454504311084747, 'redshifts/nmad_bin_2': 0.08856584131717682, 'redshifts/nmad_bin_3': 0.07118583470582962, 'redshifts/nmad_bin_4': 0.0629502683877945, 'redshifts/nmad_bin_5': 0.035353004932403564, 'redshifts/outlier_fraction': 0.32771235704421997, 'redshifts/outlier_fraction_bin_0': 0.4906599819660187, 'redshifts/outlier_fraction_bin_1': 0.35674968361854553, 'redshifts/outlier_fraction_bin_2': 0.261838436126709, 'redshifts/outlier_fraction_bin_3': 0.19672131538391113, 'redshifts/outlier_fraction_bin_4': 0.18418467044830322, 'redshifts/outlier_fraction_bin_5': 0.09326638281345367, 'redshifts/outlier_fraction_cata': 0.08928690105676651, 'redshifts/outlier_fraction_cata_bin_0': 0.13340945541858673, 'redshifts/outlier_fraction_cata_bin_1': 0.09990367293357849, 'redshifts/outlier_fraction_cata_bin_2': 0.08012452721595764, 'redshifts/outlier_fraction_cata_bin_3': 0.055327869951725006, 'redshifts/outlier_fraction_cata_bin_4': 0.056483302265405655, 'redshifts/outlier_fraction_cata_bin_5': 0.016710570082068443}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 953/1563 [1:32:01<1:08:10, 6.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60182.])\n", + "total num of pts: tensor([21919., 14540., 6112., 3419., 2039., 12153.])\n", + "{'redshifts/bias_abs': 0.07620159536600113, 'redshifts/bias_abs_bin_0': 0.1454494148492813, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.0044107139110565186, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.31244081258773804, 'redshifts/mse_bin_0': 0.43878090381622314, 'redshifts/mse_bin_1': 0.3658062517642975, 'redshifts/mse_bin_2': 0.29243385791778564, 'redshifts/mse_bin_3': 0.2169397473335266, 'redshifts/mse_bin_4': 0.21917854249477386, 'redshifts/mse_bin_5': 0.07330413162708282, 'redshifts/nmad': 0.11293938755989075, 'redshifts/nmad_bin_0': 0.21388643980026245, 'redshifts/nmad_bin_1': 0.1345551311969757, 'redshifts/nmad_bin_2': 0.08859490603208542, 'redshifts/nmad_bin_3': 0.07111543416976929, 'redshifts/nmad_bin_4': 0.06276246905326843, 'redshifts/nmad_bin_5': 0.035353004932403564, 'redshifts/outlier_fraction': 0.32772257924079895, 'redshifts/outlier_fraction_bin_0': 0.49057894945144653, 'redshifts/outlier_fraction_bin_1': 0.3568088114261627, 'redshifts/outlier_fraction_bin_2': 0.26210734248161316, 'redshifts/outlier_fraction_bin_3': 0.1965487003326416, 'redshifts/outlier_fraction_bin_4': 0.1839136779308319, 'redshifts/outlier_fraction_bin_5': 0.09322801232337952, 'redshifts/outlier_fraction_cata': 0.08931241929531097, 'redshifts/outlier_fraction_cata_bin_0': 0.13340024650096893, 'redshifts/outlier_fraction_cata_bin_1': 0.09986244887113571, 'redshifts/outlier_fraction_cata_bin_2': 0.0804973840713501, 'redshifts/outlier_fraction_cata_bin_3': 0.05527932196855545, 'redshifts/outlier_fraction_cata_bin_4': 0.05640019476413727, 'redshifts/outlier_fraction_cata_bin_5': 0.016703695058822632}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 954/1563 [1:32:06<1:04:09, 6.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60245.])\n", + "total num of pts: tensor([21939., 14552., 6122., 3422., 2043., 12167.])\n", + "{'redshifts/bias_abs': 0.07622277736663818, 'redshifts/bias_abs_bin_0': 0.14551156759262085, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004400321748107672, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.006397418212145567, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 5.501848499989137e-05, 'redshifts/mse': 0.3123541474342346, 'redshifts/mse_bin_0': 0.43884992599487305, 'redshifts/mse_bin_1': 0.36571943759918213, 'redshifts/mse_bin_2': 0.2920723855495453, 'redshifts/mse_bin_3': 0.21679867804050446, 'redshifts/mse_bin_4': 0.21878401935100555, 'redshifts/mse_bin_5': 0.07322780787944794, 'redshifts/nmad': 0.11293842643499374, 'redshifts/nmad_bin_0': 0.21387499570846558, 'redshifts/nmad_bin_1': 0.1345551311969757, 'redshifts/nmad_bin_2': 0.08859490603208542, 'redshifts/nmad_bin_3': 0.07118553668260574, 'redshifts/nmad_bin_4': 0.062738798558712, 'redshifts/nmad_bin_5': 0.03537241369485855, 'redshifts/outlier_fraction': 0.3277284502983093, 'redshifts/outlier_fraction_bin_0': 0.4907698631286621, 'redshifts/outlier_fraction_bin_1': 0.3567894399166107, 'redshifts/outlier_fraction_bin_2': 0.26200586557388306, 'redshifts/outlier_fraction_bin_3': 0.1966686099767685, 'redshifts/outlier_fraction_bin_4': 0.18355359137058258, 'redshifts/outlier_fraction_bin_5': 0.09312073886394501, 'redshifts/outlier_fraction_cata': 0.08928541839122772, 'redshifts/outlier_fraction_cata_bin_0': 0.13341538608074188, 'redshifts/outlier_fraction_cata_bin_1': 0.09984881430864334, 'redshifts/outlier_fraction_cata_bin_2': 0.08036589622497559, 'redshifts/outlier_fraction_cata_bin_3': 0.05523085966706276, 'redshifts/outlier_fraction_cata_bin_4': 0.05628976970911026, 'redshifts/outlier_fraction_cata_bin_5': 0.016684474423527718}\n", + "total num of pts: tensor([60293.])\n", + "total num of pts: tensor([21955., 14561., 6125., 3426., 2043., 12183.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 955/1563 [1:32:12<1:00:55, 6.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07622277736663818, 'redshifts/bias_abs_bin_0': 0.14551156759262085, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004396793898195028, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.006350133568048477, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.31253713369369507, 'redshifts/mse_bin_0': 0.43897745013237, 'redshifts/mse_bin_1': 0.3660375773906708, 'redshifts/mse_bin_2': 0.2927377223968506, 'redshifts/mse_bin_3': 0.21672160923480988, 'redshifts/mse_bin_4': 0.21878401935100555, 'redshifts/mse_bin_5': 0.07335546612739563, 'redshifts/nmad': 0.1129332035779953, 'redshifts/nmad_bin_0': 0.21390603482723236, 'redshifts/nmad_bin_1': 0.13458764553070068, 'redshifts/nmad_bin_2': 0.08860926330089569, 'redshifts/nmad_bin_3': 0.07118583470582962, 'redshifts/nmad_bin_4': 0.062738798558712, 'redshifts/nmad_bin_5': 0.0353880375623703, 'redshifts/outlier_fraction': 0.32774949073791504, 'redshifts/outlier_fraction_bin_0': 0.49077659845352173, 'redshifts/outlier_fraction_bin_1': 0.3569122850894928, 'redshifts/outlier_fraction_bin_2': 0.2620408236980438, 'redshifts/outlier_fraction_bin_3': 0.19673088192939758, 'redshifts/outlier_fraction_bin_4': 0.18355359137058258, 'redshifts/outlier_fraction_bin_5': 0.09316260367631912, 'redshifts/outlier_fraction_cata': 0.08933043479919434, 'redshifts/outlier_fraction_cata_bin_0': 0.1334547996520996, 'redshifts/outlier_fraction_cata_bin_1': 0.09992445260286331, 'redshifts/outlier_fraction_cata_bin_2': 0.08048979938030243, 'redshifts/outlier_fraction_cata_bin_3': 0.055166374891996384, 'redshifts/outlier_fraction_cata_bin_4': 0.05628976970911026, 'redshifts/outlier_fraction_cata_bin_5': 0.016744643449783325}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 956/1563 [1:32:16<56:26, 5.58s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60356.])\n", + "total num of pts: tensor([21975., 14577., 6133., 3432., 2048., 12191.])\n", + "{'redshifts/bias_abs': 0.07626606523990631, 'redshifts/bias_abs_bin_0': 0.14550967514514923, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023889830335974693, 'redshifts/bias': 0.004424875136464834, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 4.273739250493236e-05, 'redshifts/mse': 0.3126361072063446, 'redshifts/mse_bin_0': 0.43924275040626526, 'redshifts/mse_bin_1': 0.36616411805152893, 'redshifts/mse_bin_2': 0.29244688153266907, 'redshifts/mse_bin_3': 0.2163494974374771, 'redshifts/mse_bin_4': 0.2191111147403717, 'redshifts/mse_bin_5': 0.07338990271091461, 'redshifts/nmad': 0.11301317811012268, 'redshifts/nmad_bin_0': 0.21390704810619354, 'redshifts/nmad_bin_1': 0.13470572233200073, 'redshifts/nmad_bin_2': 0.08873874694108963, 'redshifts/nmad_bin_3': 0.07104671746492386, 'redshifts/nmad_bin_4': 0.06277289241552353, 'redshifts/nmad_bin_5': 0.03540566563606262, 'redshifts/outlier_fraction': 0.3278050124645233, 'redshifts/outlier_fraction_bin_0': 0.49073946475982666, 'redshifts/outlier_fraction_bin_1': 0.35706934332847595, 'redshifts/outlier_fraction_bin_2': 0.2618620693683624, 'redshifts/outlier_fraction_bin_3': 0.19638694822788239, 'redshifts/outlier_fraction_bin_4': 0.1845703125, 'redshifts/outlier_fraction_bin_5': 0.09334754943847656, 'redshifts/outlier_fraction_cata': 0.08936973661184311, 'redshifts/outlier_fraction_cata_bin_0': 0.1335153579711914, 'redshifts/outlier_fraction_cata_bin_1': 0.1000891849398613, 'redshifts/outlier_fraction_cata_bin_2': 0.08038480579853058, 'redshifts/outlier_fraction_cata_bin_3': 0.0550699308514595, 'redshifts/outlier_fraction_cata_bin_4': 0.05615234375, 'redshifts/outlier_fraction_cata_bin_5': 0.016733655706048012}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████ | 957/1563 [1:32:23<58:29, 5.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60428.])\n", + "total num of pts: tensor([22000., 14592., 6146., 3435., 2051., 12204.])\n", + "{'redshifts/bias_abs': 0.07624280452728271, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.02389511466026306, 'redshifts/bias': 0.004430592060089111, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.006178225856274366, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 4.356826684670523e-05, 'redshifts/mse': 0.3124462068080902, 'redshifts/mse_bin_0': 0.43907850980758667, 'redshifts/mse_bin_1': 0.3659120500087738, 'redshifts/mse_bin_2': 0.2920586168766022, 'redshifts/mse_bin_3': 0.21618622541427612, 'redshifts/mse_bin_4': 0.21884404122829437, 'redshifts/mse_bin_5': 0.07333134859800339, 'redshifts/nmad': 0.11300715059041977, 'redshifts/nmad_bin_0': 0.21384362876415253, 'redshifts/nmad_bin_1': 0.1346491277217865, 'redshifts/nmad_bin_2': 0.08883987367153168, 'redshifts/nmad_bin_3': 0.07114078104496002, 'redshifts/nmad_bin_4': 0.06295109540224075, 'redshifts/nmad_bin_5': 0.03540544584393501, 'redshifts/outlier_fraction': 0.32767921686172485, 'redshifts/outlier_fraction_bin_0': 0.49054545164108276, 'redshifts/outlier_fraction_bin_1': 0.3569079041481018, 'redshifts/outlier_fraction_bin_2': 0.2617962956428528, 'redshifts/outlier_fraction_bin_3': 0.1962154358625412, 'redshifts/outlier_fraction_bin_4': 0.18430034816265106, 'redshifts/outlier_fraction_bin_5': 0.09341199696063995, 'redshifts/outlier_fraction_cata': 0.08931290358304977, 'redshifts/outlier_fraction_cata_bin_0': 0.13349999487400055, 'redshifts/outlier_fraction_cata_bin_1': 0.09998629242181778, 'redshifts/outlier_fraction_cata_bin_2': 0.08021477609872818, 'redshifts/outlier_fraction_cata_bin_3': 0.05502183362841606, 'redshifts/outlier_fraction_cata_bin_4': 0.05607020854949951, 'redshifts/outlier_fraction_cata_bin_5': 0.01671583019196987}\n", + "total num of pts: tensor([60485.])\n", + "total num of pts: tensor([22026., 14606., 6151., 3435., 2052., 12215.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████▏ | 958/1563 [1:32:27<54:51, 5.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07626644521951675, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.02389511466026306, 'redshifts/bias': 0.0044523924589157104, 'redshifts/bias_bin_0': 0.02941272407770157, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.006178225856274366, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.3126641809940338, 'redshifts/mse_bin_0': 0.43949657678604126, 'redshifts/mse_bin_1': 0.36624324321746826, 'redshifts/mse_bin_2': 0.2918652892112732, 'redshifts/mse_bin_3': 0.21618622541427612, 'redshifts/mse_bin_4': 0.21873775124549866, 'redshifts/mse_bin_5': 0.07327622175216675, 'redshifts/nmad': 0.11301660537719727, 'redshifts/nmad_bin_0': 0.21383841335773468, 'redshifts/nmad_bin_1': 0.13474935293197632, 'redshifts/nmad_bin_2': 0.08883987367153168, 'redshifts/nmad_bin_3': 0.07114078104496002, 'redshifts/nmad_bin_4': 0.06284790486097336, 'redshifts/nmad_bin_5': 0.03540517017245293, 'redshifts/outlier_fraction': 0.32781681418418884, 'redshifts/outlier_fraction_bin_0': 0.4906928241252899, 'redshifts/outlier_fraction_bin_1': 0.35718196630477905, 'redshifts/outlier_fraction_bin_2': 0.26174604892730713, 'redshifts/outlier_fraction_bin_3': 0.1962154358625412, 'redshifts/outlier_fraction_bin_4': 0.18421052396297455, 'redshifts/outlier_fraction_bin_5': 0.09340973943471909, 'redshifts/outlier_fraction_cata': 0.08936099708080292, 'redshifts/outlier_fraction_cata_bin_0': 0.13356941938400269, 'redshifts/outlier_fraction_cata_bin_1': 0.10009585320949554, 'redshifts/outlier_fraction_cata_bin_2': 0.0801495686173439, 'redshifts/outlier_fraction_cata_bin_3': 0.05502183362841606, 'redshifts/outlier_fraction_cata_bin_4': 0.056042883545160294, 'redshifts/outlier_fraction_cata_bin_5': 0.016700778156518936}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████▏ | 959/1563 [1:32:32<54:08, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60532.])\n", + "total num of pts: tensor([22040., 14621., 6154., 3436., 2052., 12229.])\n", + "{'redshifts/bias_abs': 0.07629750669002533, 'redshifts/bias_abs_bin_0': 0.14550967514514923, 'redshifts/bias_abs_bin_1': 0.09151016175746918, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023903774097561836, 'redshifts/bias': 0.004453195258975029, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.006178225856274366, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 5.538789264392108e-05, 'redshifts/mse': 0.31277719140052795, 'redshifts/mse_bin_0': 0.43977299332618713, 'redshifts/mse_bin_1': 0.3660757839679718, 'redshifts/mse_bin_2': 0.2924354374408722, 'redshifts/mse_bin_3': 0.21628069877624512, 'redshifts/mse_bin_4': 0.21873775124549866, 'redshifts/mse_bin_5': 0.07330028712749481, 'redshifts/nmad': 0.11305017024278641, 'redshifts/nmad_bin_0': 0.21387682855129242, 'redshifts/nmad_bin_1': 0.13486966490745544, 'redshifts/nmad_bin_2': 0.08883987367153168, 'redshifts/nmad_bin_3': 0.07114078104496002, 'redshifts/nmad_bin_4': 0.06284790486097336, 'redshifts/nmad_bin_5': 0.0354154147207737, 'redshifts/outlier_fraction': 0.3278926908969879, 'redshifts/outlier_fraction_bin_0': 0.49074411392211914, 'redshifts/outlier_fraction_bin_1': 0.3572258949279785, 'redshifts/outlier_fraction_bin_2': 0.2619434595108032, 'redshifts/outlier_fraction_bin_3': 0.19644935429096222, 'redshifts/outlier_fraction_bin_4': 0.18421052396297455, 'redshifts/outlier_fraction_bin_5': 0.09354812651872635, 'redshifts/outlier_fraction_cata': 0.08939073234796524, 'redshifts/outlier_fraction_cata_bin_0': 0.13362069427967072, 'redshifts/outlier_fraction_cata_bin_1': 0.1000615581870079, 'redshifts/outlier_fraction_cata_bin_2': 0.08027299493551254, 'redshifts/outlier_fraction_cata_bin_3': 0.05500582233071327, 'redshifts/outlier_fraction_cata_bin_4': 0.056042883545160294, 'redshifts/outlier_fraction_cata_bin_5': 0.016763431951403618}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████▏ | 960/1563 [1:32:37<52:35, 5.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60599.])\n", + "total num of pts: tensor([22054., 14637., 6165., 3441., 2054., 12248.])\n", + "{'redshifts/bias_abs': 0.07626644521951675, 'redshifts/bias_abs_bin_0': 0.14550967514514923, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02389511466026306, 'redshifts/bias': 0.004468139261007309, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.006178225856274366, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 5.501848499989137e-05, 'redshifts/mse': 0.31263357400894165, 'redshifts/mse_bin_0': 0.4397306442260742, 'redshifts/mse_bin_1': 0.36588695645332336, 'redshifts/mse_bin_2': 0.29246535897254944, 'redshifts/mse_bin_3': 0.216007798910141, 'redshifts/mse_bin_4': 0.21852602064609528, 'redshifts/mse_bin_5': 0.07321877777576447, 'redshifts/nmad': 0.1130245253443718, 'redshifts/nmad_bin_0': 0.21392512321472168, 'redshifts/nmad_bin_1': 0.134837806224823, 'redshifts/nmad_bin_2': 0.08886568248271942, 'redshifts/nmad_bin_3': 0.07129354029893875, 'redshifts/nmad_bin_4': 0.06276394426822662, 'redshifts/nmad_bin_5': 0.03540575131773949, 'redshifts/outlier_fraction': 0.3277446925640106, 'redshifts/outlier_fraction_bin_0': 0.4907499849796295, 'redshifts/outlier_fraction_bin_1': 0.3569720685482025, 'redshifts/outlier_fraction_bin_2': 0.2619626820087433, 'redshifts/outlier_fraction_bin_3': 0.19616390764713287, 'redshifts/outlier_fraction_bin_4': 0.1840311586856842, 'redshifts/outlier_fraction_bin_5': 0.09348464757204056, 'redshifts/outlier_fraction_cata': 0.08935791254043579, 'redshifts/outlier_fraction_cata_bin_0': 0.13358120620250702, 'redshifts/outlier_fraction_cata_bin_1': 0.10002049803733826, 'redshifts/outlier_fraction_cata_bin_2': 0.08045417815446854, 'redshifts/outlier_fraction_cata_bin_3': 0.05492589250206947, 'redshifts/outlier_fraction_cata_bin_4': 0.05598831549286842, 'redshifts/outlier_fraction_cata_bin_5': 0.016737425699830055}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 61%|██████▏ | 961/1563 [1:32:45<1:00:23, 6.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60648.])\n", + "total num of pts: tensor([22075., 14647., 6172., 3446., 2054., 12254.])\n", + "{'redshifts/bias_abs': 0.07629750669002533, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023889830335974693, 'redshifts/bias': 0.004475229419767857, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.006174889393150806, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 5.655017594108358e-05, 'redshifts/mse': 0.3127247095108032, 'redshifts/mse_bin_0': 0.4397948086261749, 'redshifts/mse_bin_1': 0.36580008268356323, 'redshifts/mse_bin_2': 0.29295361042022705, 'redshifts/mse_bin_3': 0.2164754718542099, 'redshifts/mse_bin_4': 0.21852602064609528, 'redshifts/mse_bin_5': 0.07318764179944992, 'redshifts/nmad': 0.11304948478937149, 'redshifts/nmad_bin_0': 0.21388757228851318, 'redshifts/nmad_bin_1': 0.13488715887069702, 'redshifts/nmad_bin_2': 0.08896932005882263, 'redshifts/nmad_bin_3': 0.07138141989707947, 'redshifts/nmad_bin_4': 0.06276394426822662, 'redshifts/nmad_bin_5': 0.03538620099425316, 'redshifts/outlier_fraction': 0.3278096616268158, 'redshifts/outlier_fraction_bin_0': 0.49069082736968994, 'redshifts/outlier_fraction_bin_1': 0.3570014238357544, 'redshifts/outlier_fraction_bin_2': 0.2623136639595032, 'redshifts/outlier_fraction_bin_3': 0.19674985110759735, 'redshifts/outlier_fraction_bin_4': 0.1840311586856842, 'redshifts/outlier_fraction_bin_5': 0.09343887865543365, 'redshifts/outlier_fraction_cata': 0.08938464522361755, 'redshifts/outlier_fraction_cata_bin_0': 0.13359002768993378, 'redshifts/outlier_fraction_cata_bin_1': 0.10002048313617706, 'redshifts/outlier_fraction_cata_bin_2': 0.08052495121955872, 'redshifts/outlier_fraction_cata_bin_3': 0.055136390030384064, 'redshifts/outlier_fraction_cata_bin_4': 0.05598831549286842, 'redshifts/outlier_fraction_cata_bin_5': 0.016729231923818588}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 962/1563 [1:32:51<58:28, 5.84s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60696.])\n", + "total num of pts: tensor([22089., 14663., 6173., 3446., 2058., 12267.])\n", + "{'redshifts/bias_abs': 0.07629088312387466, 'redshifts/bias_abs_bin_0': 0.14551156759262085, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004475229419767857, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.006174889393150806, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 5.830815644003451e-05, 'redshifts/mse': 0.3127562403678894, 'redshifts/mse_bin_0': 0.4399530589580536, 'redshifts/mse_bin_1': 0.36581575870513916, 'redshifts/mse_bin_2': 0.2929061949253082, 'redshifts/mse_bin_3': 0.2164754718542099, 'redshifts/mse_bin_4': 0.2182711958885193, 'redshifts/mse_bin_5': 0.07317852228879929, 'redshifts/nmad': 0.11303581297397614, 'redshifts/nmad_bin_0': 0.2139243334531784, 'redshifts/nmad_bin_1': 0.13488715887069702, 'redshifts/nmad_bin_2': 0.08896932005882263, 'redshifts/nmad_bin_3': 0.07138141989707947, 'redshifts/nmad_bin_4': 0.06277401000261307, 'redshifts/nmad_bin_5': 0.03535846248269081, 'redshifts/outlier_fraction': 0.3278304934501648, 'redshifts/outlier_fraction_bin_0': 0.4907872676849365, 'redshifts/outlier_fraction_bin_1': 0.35695287585258484, 'redshifts/outlier_fraction_bin_2': 0.2622711956501007, 'redshifts/outlier_fraction_bin_3': 0.19674985110759735, 'redshifts/outlier_fraction_bin_4': 0.18415938317775726, 'redshifts/outlier_fraction_bin_5': 0.09350289404392242, 'redshifts/outlier_fraction_cata': 0.08941280841827393, 'redshifts/outlier_fraction_cata_bin_0': 0.13368645310401917, 'redshifts/outlier_fraction_cata_bin_1': 0.10004773736000061, 'redshifts/outlier_fraction_cata_bin_2': 0.0805119052529335, 'redshifts/outlier_fraction_cata_bin_3': 0.055136390030384064, 'redshifts/outlier_fraction_cata_bin_4': 0.05587949603796005, 'redshifts/outlier_fraction_cata_bin_5': 0.016711503267288208}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 963/1563 [1:32:56<55:48, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60767.])\n", + "total num of pts: tensor([22114., 14678., 6177., 3454., 2064., 12280.])\n", + "{'redshifts/bias_abs': 0.07629088312387466, 'redshifts/bias_abs_bin_0': 0.1454494148492813, 'redshifts/bias_abs_bin_1': 0.09146305918693542, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004474413115531206, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 5.830815644003451e-05, 'redshifts/mse': 0.3129778802394867, 'redshifts/mse_bin_0': 0.4398784041404724, 'redshifts/mse_bin_1': 0.36604657769203186, 'redshifts/mse_bin_2': 0.2935153841972351, 'redshifts/mse_bin_3': 0.21645568311214447, 'redshifts/mse_bin_4': 0.22268621623516083, 'redshifts/mse_bin_5': 0.07313631474971771, 'redshifts/nmad': 0.11304080486297607, 'redshifts/nmad_bin_0': 0.21377219259738922, 'redshifts/nmad_bin_1': 0.13474692404270172, 'redshifts/nmad_bin_2': 0.08880157768726349, 'redshifts/nmad_bin_3': 0.0717296153306961, 'redshifts/nmad_bin_4': 0.06278443336486816, 'redshifts/nmad_bin_5': 0.03534083068370819, 'redshifts/outlier_fraction': 0.32777658104896545, 'redshifts/outlier_fraction_bin_0': 0.49059420824050903, 'redshifts/outlier_fraction_bin_1': 0.3569287359714508, 'redshifts/outlier_fraction_bin_2': 0.2622632384300232, 'redshifts/outlier_fraction_bin_3': 0.19687318801879883, 'redshifts/outlier_fraction_bin_4': 0.1850775182247162, 'redshifts/outlier_fraction_bin_5': 0.09348534047603607, 'redshifts/outlier_fraction_cata': 0.08948936313390732, 'redshifts/outlier_fraction_cata_bin_0': 0.1337614208459854, 'redshifts/outlier_fraction_cata_bin_1': 0.10008175671100616, 'redshifts/outlier_fraction_cata_bin_2': 0.08062165975570679, 'redshifts/outlier_fraction_cata_bin_3': 0.055298205465078354, 'redshifts/outlier_fraction_cata_bin_4': 0.056686047464609146, 'redshifts/outlier_fraction_cata_bin_5': 0.016693811863660812}\n", + "total num of pts: tensor([60833.])\n", + "total num of pts: tensor([22133., 14694., 6184., 3460., 2067., 12295.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 964/1563 [1:33:01<54:13, 5.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07628194242715836, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004475229419767857, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.01081590261310339, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.006243003997951746, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 7.76397719164379e-05, 'redshifts/mse': 0.3129824995994568, 'redshifts/mse_bin_0': 0.4401741623878479, 'redshifts/mse_bin_1': 0.3658606708049774, 'redshifts/mse_bin_2': 0.2932366132736206, 'redshifts/mse_bin_3': 0.21672870218753815, 'redshifts/mse_bin_4': 0.2223707139492035, 'redshifts/mse_bin_5': 0.07307291775941849, 'redshifts/nmad': 0.11303959786891937, 'redshifts/nmad_bin_0': 0.21379758417606354, 'redshifts/nmad_bin_1': 0.1347484588623047, 'redshifts/nmad_bin_2': 0.088782899081707, 'redshifts/nmad_bin_3': 0.07173158973455429, 'redshifts/nmad_bin_4': 0.06299906224012375, 'redshifts/nmad_bin_5': 0.03534362092614174, 'redshifts/outlier_fraction': 0.32776618003845215, 'redshifts/outlier_fraction_bin_0': 0.4906248450279236, 'redshifts/outlier_fraction_bin_1': 0.3569484055042267, 'redshifts/outlier_fraction_bin_2': 0.262128084897995, 'redshifts/outlier_fraction_bin_3': 0.19710983335971832, 'redshifts/outlier_fraction_bin_4': 0.1848088949918747, 'redshifts/outlier_fraction_bin_5': 0.093533955514431, 'redshifts/outlier_fraction_cata': 0.0895073413848877, 'redshifts/outlier_fraction_cata_bin_0': 0.13387249410152435, 'redshifts/outlier_fraction_cata_bin_1': 0.10004083067178726, 'redshifts/outlier_fraction_cata_bin_2': 0.08053039759397507, 'redshifts/outlier_fraction_cata_bin_3': 0.05549132823944092, 'redshifts/outlier_fraction_cata_bin_4': 0.056603774428367615, 'redshifts/outlier_fraction_cata_bin_5': 0.016673443838953972}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 965/1563 [1:33:07<55:49, 5.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([60891.])\n", + "total num of pts: tensor([22151., 14716., 6190., 3462., 2067., 12305.])\n", + "{'redshifts/bias_abs': 0.07627314329147339, 'redshifts/bias_abs_bin_0': 0.1454991102218628, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.0044848076067864895, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 6.532659608637914e-05, 'redshifts/mse': 0.3130495548248291, 'redshifts/mse_bin_0': 0.4401223063468933, 'redshifts/mse_bin_1': 0.3659721910953522, 'redshifts/mse_bin_2': 0.29381272196769714, 'redshifts/mse_bin_3': 0.21662349998950958, 'redshifts/mse_bin_4': 0.2223707139492035, 'redshifts/mse_bin_5': 0.07304377853870392, 'redshifts/nmad': 0.1130216047167778, 'redshifts/nmad_bin_0': 0.21377219259738922, 'redshifts/nmad_bin_1': 0.13474935293197632, 'redshifts/nmad_bin_2': 0.08897269517183304, 'redshifts/nmad_bin_3': 0.0717296153306961, 'redshifts/nmad_bin_4': 0.06299906224012375, 'redshifts/nmad_bin_5': 0.03537217155098915, 'redshifts/outlier_fraction': 0.3278152644634247, 'redshifts/outlier_fraction_bin_0': 0.4906776249408722, 'redshifts/outlier_fraction_bin_1': 0.3570263683795929, 'redshifts/outlier_fraction_bin_2': 0.2621970772743225, 'redshifts/outlier_fraction_bin_3': 0.19699595868587494, 'redshifts/outlier_fraction_bin_4': 0.1848088949918747, 'redshifts/outlier_fraction_bin_5': 0.09353920817375183, 'redshifts/outlier_fraction_cata': 0.08953703939914703, 'redshifts/outlier_fraction_cata_bin_0': 0.1338540017604828, 'redshifts/outlier_fraction_cata_bin_1': 0.10016308724880219, 'redshifts/outlier_fraction_cata_bin_2': 0.08061389625072479, 'redshifts/outlier_fraction_cata_bin_3': 0.05545927211642265, 'redshifts/outlier_fraction_cata_bin_4': 0.056603774428367615, 'redshifts/outlier_fraction_cata_bin_5': 0.016659894958138466}\n", + "total num of pts: tensor([60962.])\n", + "total num of pts: tensor([22165., 14742., 6198., 3466., 2070., 12321.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 966/1563 [1:33:14<59:52, 6.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07622277736663818, 'redshifts/bias_abs_bin_0': 0.14550967514514923, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.02389511466026306, 'redshifts/bias': 0.00447638938203454, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.006241673603653908, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 6.532659608637914e-05, 'redshifts/mse': 0.31298497319221497, 'redshifts/mse_bin_0': 0.4402850568294525, 'redshifts/mse_bin_1': 0.36561766266822815, 'redshifts/mse_bin_2': 0.29353174567222595, 'redshifts/mse_bin_3': 0.2173161506652832, 'redshifts/mse_bin_4': 0.2221367061138153, 'redshifts/mse_bin_5': 0.07296261191368103, 'redshifts/nmad': 0.11295861005783081, 'redshifts/nmad_bin_0': 0.21382689476013184, 'redshifts/nmad_bin_1': 0.1346317082643509, 'redshifts/nmad_bin_2': 0.088782899081707, 'redshifts/nmad_bin_3': 0.0718916654586792, 'redshifts/nmad_bin_4': 0.06297759711742401, 'redshifts/nmad_bin_5': 0.035390716046094894, 'redshifts/outlier_fraction': 0.32774513959884644, 'redshifts/outlier_fraction_bin_0': 0.49072861671447754, 'redshifts/outlier_fraction_bin_1': 0.35687151551246643, 'redshifts/outlier_fraction_bin_2': 0.2623426914215088, 'redshifts/outlier_fraction_bin_3': 0.19705712795257568, 'redshifts/outlier_fraction_bin_4': 0.18454106152057648, 'redshifts/outlier_fraction_bin_5': 0.09341774135828018, 'redshifts/outlier_fraction_cata': 0.08953118324279785, 'redshifts/outlier_fraction_cata_bin_0': 0.13390479981899261, 'redshifts/outlier_fraction_cata_bin_1': 0.10012210160493851, 'redshifts/outlier_fraction_cata_bin_2': 0.08050984144210815, 'redshifts/outlier_fraction_cata_bin_3': 0.05568378418684006, 'redshifts/outlier_fraction_cata_bin_4': 0.056521739810705185, 'redshifts/outlier_fraction_cata_bin_5': 0.01663826033473015}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 967/1563 [1:33:18<54:53, 5.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61021.])\n", + "total num of pts: tensor([22192., 14750., 6204., 3475., 2075., 12325.])\n", + "{'redshifts/bias_abs': 0.07622277736663818, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.042044371366500854, 'redshifts/bias_abs_bin_5': 0.023903774097561836, 'redshifts/bias': 0.004476634785532951, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.006174889393150806, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 6.532659608637914e-05, 'redshifts/mse': 0.3129290044307709, 'redshifts/mse_bin_0': 0.44027259945869446, 'redshifts/mse_bin_1': 0.36548683047294617, 'redshifts/mse_bin_2': 0.29330697655677795, 'redshifts/mse_bin_3': 0.21692678332328796, 'redshifts/mse_bin_4': 0.2222878485918045, 'redshifts/mse_bin_5': 0.07294299453496933, 'redshifts/nmad': 0.11295336484909058, 'redshifts/nmad_bin_0': 0.21378372609615326, 'redshifts/nmad_bin_1': 0.13461053371429443, 'redshifts/nmad_bin_2': 0.08875960111618042, 'redshifts/nmad_bin_3': 0.07179264724254608, 'redshifts/nmad_bin_4': 0.06289312988519669, 'redshifts/nmad_bin_5': 0.035401925444602966, 'redshifts/outlier_fraction': 0.3277396261692047, 'redshifts/outlier_fraction_bin_0': 0.4906723201274872, 'redshifts/outlier_fraction_bin_1': 0.35681354999542236, 'redshifts/outlier_fraction_bin_2': 0.262250155210495, 'redshifts/outlier_fraction_bin_3': 0.19741007685661316, 'redshifts/outlier_fraction_bin_4': 0.1845783144235611, 'redshifts/outlier_fraction_bin_5': 0.0933874249458313, 'redshifts/outlier_fraction_cata': 0.08951016515493393, 'redshifts/outlier_fraction_cata_bin_0': 0.13387706875801086, 'redshifts/outlier_fraction_cata_bin_1': 0.10006779432296753, 'redshifts/outlier_fraction_cata_bin_2': 0.0804319828748703, 'redshifts/outlier_fraction_cata_bin_3': 0.0555395670235157, 'redshifts/outlier_fraction_cata_bin_4': 0.05686746910214424, 'redshifts/outlier_fraction_cata_bin_5': 0.016632860526442528}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 968/1563 [1:33:23<53:12, 5.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61078.])\n", + "total num of pts: tensor([22209., 14764., 6210., 3478., 2077., 12340.])\n", + "{'redshifts/bias_abs': 0.07618112117052078, 'redshifts/bias_abs_bin_0': 0.14551156759262085, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.02389511466026306, 'redshifts/bias': 0.00447638938203454, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.006174889393150806, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 6.113558629294857e-05, 'redshifts/mse': 0.3127646744251251, 'redshifts/mse_bin_0': 0.440238356590271, 'redshifts/mse_bin_1': 0.36517632007598877, 'redshifts/mse_bin_2': 0.2930554151535034, 'redshifts/mse_bin_3': 0.2167406529188156, 'redshifts/mse_bin_4': 0.22214534878730774, 'redshifts/mse_bin_5': 0.07287046313285828, 'redshifts/nmad': 0.11291289329528809, 'redshifts/nmad_bin_0': 0.21383368968963623, 'redshifts/nmad_bin_1': 0.13451258838176727, 'redshifts/nmad_bin_2': 0.08874256908893585, 'redshifts/nmad_bin_3': 0.07157798111438751, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.03539692983031273, 'redshifts/outlier_fraction': 0.3276793658733368, 'redshifts/outlier_fraction_bin_0': 0.49079203605651855, 'redshifts/outlier_fraction_bin_1': 0.3566106855869293, 'redshifts/outlier_fraction_bin_2': 0.2621577978134155, 'redshifts/outlier_fraction_bin_3': 0.19723978638648987, 'redshifts/outlier_fraction_bin_4': 0.18440057337284088, 'redshifts/outlier_fraction_bin_5': 0.09335494041442871, 'redshifts/outlier_fraction_cata': 0.0894593819975853, 'redshifts/outlier_fraction_cata_bin_0': 0.1338646560907364, 'redshifts/outlier_fraction_cata_bin_1': 0.09997290372848511, 'redshifts/outlier_fraction_cata_bin_2': 0.08035426586866379, 'redshifts/outlier_fraction_cata_bin_3': 0.05549166351556778, 'redshifts/outlier_fraction_cata_bin_4': 0.05681271106004715, 'redshifts/outlier_fraction_cata_bin_5': 0.016612641513347626}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 969/1563 [1:33:29<54:57, 5.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61131.])\n", + "total num of pts: tensor([22232., 14777., 6213., 3482., 2079., 12348.])\n", + "{'redshifts/bias_abs': 0.07617460191249847, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023903774097561836, 'redshifts/bias': 0.004476634785532951, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 6.211790605448186e-05, 'redshifts/mse': 0.3129276633262634, 'redshifts/mse_bin_0': 0.44030439853668213, 'redshifts/mse_bin_1': 0.36537036299705505, 'redshifts/mse_bin_2': 0.29296791553497314, 'redshifts/mse_bin_3': 0.21649670600891113, 'redshifts/mse_bin_4': 0.22193336486816406, 'redshifts/mse_bin_5': 0.07338819652795792, 'redshifts/nmad': 0.11286893486976624, 'redshifts/nmad_bin_0': 0.21373939514160156, 'redshifts/nmad_bin_1': 0.13454587757587433, 'redshifts/nmad_bin_2': 0.08876586705446243, 'redshifts/nmad_bin_3': 0.07148231565952301, 'redshifts/nmad_bin_4': 0.06288224458694458, 'redshifts/nmad_bin_5': 0.0354066863656044, 'redshifts/outlier_fraction': 0.3276733458042145, 'redshifts/outlier_fraction_bin_0': 0.49068909883499146, 'redshifts/outlier_fraction_bin_1': 0.35663530230522156, 'redshifts/outlier_fraction_bin_2': 0.2621921896934509, 'redshifts/outlier_fraction_bin_3': 0.19701321423053741, 'redshifts/outlier_fraction_bin_4': 0.18422318994998932, 'redshifts/outlier_fraction_bin_5': 0.09345643222332001, 'redshifts/outlier_fraction_cata': 0.08949632942676544, 'redshifts/outlier_fraction_cata_bin_0': 0.13390608131885529, 'redshifts/outlier_fraction_cata_bin_1': 0.10002030432224274, 'redshifts/outlier_fraction_cata_bin_2': 0.0803154706954956, 'redshifts/outlier_fraction_cata_bin_3': 0.0554279163479805, 'redshifts/outlier_fraction_cata_bin_4': 0.056758057326078415, 'redshifts/outlier_fraction_cata_bin_5': 0.016682863235473633}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 970/1563 [1:33:35<54:42, 5.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61199.])\n", + "total num of pts: tensor([22250., 14796., 6218., 3485., 2082., 12368.])\n", + "{'redshifts/bias_abs': 0.07615916430950165, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09119974076747894, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023903774097561836, 'redshifts/bias': 0.004476634785532951, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 7.76397719164379e-05, 'redshifts/mse': 0.31278300285339355, 'redshifts/mse_bin_0': 0.44027313590049744, 'redshifts/mse_bin_1': 0.3650968372821808, 'redshifts/mse_bin_2': 0.29301249980926514, 'redshifts/mse_bin_3': 0.2164040505886078, 'redshifts/mse_bin_4': 0.22167181968688965, 'redshifts/mse_bin_5': 0.07327885180711746, 'redshifts/nmad': 0.11284679919481277, 'redshifts/nmad_bin_0': 0.21371592581272125, 'redshifts/nmad_bin_1': 0.13453130424022675, 'redshifts/nmad_bin_2': 0.08876586705446243, 'redshifts/nmad_bin_3': 0.0715194046497345, 'redshifts/nmad_bin_4': 0.06289546191692352, 'redshifts/nmad_bin_5': 0.03538712486624718, 'redshifts/outlier_fraction': 0.327619731426239, 'redshifts/outlier_fraction_bin_0': 0.49069663882255554, 'redshifts/outlier_fraction_bin_1': 0.3565152883529663, 'redshifts/outlier_fraction_bin_2': 0.2624638080596924, 'redshifts/outlier_fraction_bin_3': 0.19713056087493896, 'redshifts/outlier_fraction_bin_4': 0.18395772576332092, 'redshifts/outlier_fraction_bin_5': 0.09338615834712982, 'redshifts/outlier_fraction_cata': 0.08946224302053452, 'redshifts/outlier_fraction_cata_bin_0': 0.1338876336812973, 'redshifts/outlier_fraction_cata_bin_1': 0.09995944797992706, 'redshifts/outlier_fraction_cata_bin_2': 0.08041170984506607, 'redshifts/outlier_fraction_cata_bin_3': 0.0553801991045475, 'redshifts/outlier_fraction_cata_bin_4': 0.05667627230286598, 'redshifts/outlier_fraction_cata_bin_5': 0.01665588654577732}\n", + "total num of pts: tensor([61257.])\n", + "total num of pts: tensor([22274., 14808., 6225., 3490., 2082., 12378.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 971/1563 [1:33:43<1:04:37, 6.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07616522163152695, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.02392353117465973, 'redshifts/bias': 0.0044891368597745895, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 7.76397719164379e-05, 'redshifts/mse': 0.3127540647983551, 'redshifts/mse_bin_0': 0.44011273980140686, 'redshifts/mse_bin_1': 0.36488500237464905, 'redshifts/mse_bin_2': 0.2936895787715912, 'redshifts/mse_bin_3': 0.21610002219676971, 'redshifts/mse_bin_4': 0.22167181968688965, 'redshifts/mse_bin_5': 0.07336827367544174, 'redshifts/nmad': 0.11287540942430496, 'redshifts/nmad_bin_0': 0.2136438637971878, 'redshifts/nmad_bin_1': 0.1345510482788086, 'redshifts/nmad_bin_2': 0.08876586705446243, 'redshifts/nmad_bin_3': 0.07139416038990021, 'redshifts/nmad_bin_4': 0.06289546191692352, 'redshifts/nmad_bin_5': 0.035421017557382584, 'redshifts/outlier_fraction': 0.3275870382785797, 'redshifts/outlier_fraction_bin_0': 0.4906168580055237, 'redshifts/outlier_fraction_bin_1': 0.3564964830875397, 'redshifts/outlier_fraction_bin_2': 0.2623293101787567, 'redshifts/outlier_fraction_bin_3': 0.19684813916683197, 'redshifts/outlier_fraction_bin_4': 0.18395772576332092, 'redshifts/outlier_fraction_bin_5': 0.09347228705883026, 'redshifts/outlier_fraction_cata': 0.08942651748657227, 'redshifts/outlier_fraction_cata_bin_0': 0.13378827273845673, 'redshifts/outlier_fraction_cata_bin_1': 0.09987844526767731, 'redshifts/outlier_fraction_cata_bin_2': 0.08048192411661148, 'redshifts/outlier_fraction_cata_bin_3': 0.05530085787177086, 'redshifts/outlier_fraction_cata_bin_4': 0.05667627230286598, 'redshifts/outlier_fraction_cata_bin_5': 0.01672321930527687}\n", + "total num of pts: tensor([61333.])\n", + "total num of pts: tensor([22299., 14826., 6229., 3493., 2085., 12401.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 972/1563 [1:33:51<1:08:12, 6.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07617460191249847, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09134913235902786, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02392353117465973, 'redshifts/bias': 0.0044937413185834885, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 7.918477058410645e-05, 'redshifts/mse': 0.31277474761009216, 'redshifts/mse_bin_0': 0.43993574380874634, 'redshifts/mse_bin_1': 0.3649439215660095, 'redshifts/mse_bin_2': 0.2935637831687927, 'redshifts/mse_bin_3': 0.2159377634525299, 'redshifts/mse_bin_4': 0.22179099917411804, 'redshifts/mse_bin_5': 0.07397084683179855, 'redshifts/nmad': 0.11288716644048691, 'redshifts/nmad_bin_0': 0.21359789371490479, 'redshifts/nmad_bin_1': 0.134590744972229, 'redshifts/nmad_bin_2': 0.08874673396348953, 'redshifts/nmad_bin_3': 0.07146678864955902, 'redshifts/nmad_bin_4': 0.06297759711742401, 'redshifts/nmad_bin_5': 0.03541872650384903, 'redshifts/outlier_fraction': 0.3275887370109558, 'redshifts/outlier_fraction_bin_0': 0.490604966878891, 'redshifts/outlier_fraction_bin_1': 0.3566032648086548, 'redshifts/outlier_fraction_bin_2': 0.262321412563324, 'redshifts/outlier_fraction_bin_3': 0.19667907059192657, 'redshifts/outlier_fraction_bin_4': 0.18417266011238098, 'redshifts/outlier_fraction_bin_5': 0.09354083985090256, 'redshifts/outlier_fraction_cata': 0.0894298329949379, 'redshifts/outlier_fraction_cata_bin_0': 0.13372796773910522, 'redshifts/outlier_fraction_cata_bin_1': 0.10002698004245758, 'redshifts/outlier_fraction_cata_bin_2': 0.08043024688959122, 'redshifts/outlier_fraction_cata_bin_3': 0.05525336414575577, 'redshifts/outlier_fraction_cata_bin_4': 0.05659472569823265, 'redshifts/outlier_fraction_cata_bin_5': 0.016772840172052383}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 973/1563 [1:33:57<1:04:21, 6.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61402.])\n", + "total num of pts: tensor([22326., 14842., 6237., 3497., 2089., 12411.])\n", + "{'redshifts/bias_abs': 0.07618693262338638, 'redshifts/bias_abs_bin_0': 0.14550967514514923, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02392353117465973, 'redshifts/bias': 0.004476607311517, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 8.039054227992892e-05, 'redshifts/mse': 0.31274160742759705, 'redshifts/mse_bin_0': 0.44013240933418274, 'redshifts/mse_bin_1': 0.364727646112442, 'redshifts/mse_bin_2': 0.2932436764240265, 'redshifts/mse_bin_3': 0.21572250127792358, 'redshifts/mse_bin_4': 0.2213769108057022, 'redshifts/mse_bin_5': 0.07392429560422897, 'redshifts/nmad': 0.1129155382514, 'redshifts/nmad_bin_0': 0.21374820172786713, 'redshifts/nmad_bin_1': 0.13467097282409668, 'redshifts/nmad_bin_2': 0.08872821182012558, 'redshifts/nmad_bin_3': 0.07146678864955902, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.035416942089796066, 'redshifts/outlier_fraction': 0.32766032218933105, 'redshifts/outlier_fraction_bin_0': 0.49077308177948, 'redshifts/outlier_fraction_bin_1': 0.3566230833530426, 'redshifts/outlier_fraction_bin_2': 0.2623055875301361, 'redshifts/outlier_fraction_bin_3': 0.196740061044693, 'redshifts/outlier_fraction_bin_4': 0.18382000923156738, 'redshifts/outlier_fraction_bin_5': 0.09354604780673981, 'redshifts/outlier_fraction_cata': 0.08941076695919037, 'redshifts/outlier_fraction_cata_bin_0': 0.13379019498825073, 'redshifts/outlier_fraction_cata_bin_1': 0.0999191477894783, 'redshifts/outlier_fraction_cata_bin_2': 0.08032707870006561, 'redshifts/outlier_fraction_cata_bin_3': 0.05519016459584236, 'redshifts/outlier_fraction_cata_bin_4': 0.056486357003450394, 'redshifts/outlier_fraction_cata_bin_5': 0.016759326681494713}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 974/1563 [1:34:02<58:44, 5.98s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61467.])\n", + "total num of pts: tensor([22355., 14856., 6242., 3499., 2091., 12424.])\n", + "{'redshifts/bias_abs': 0.07619885355234146, 'redshifts/bias_abs_bin_0': 0.14550967514514923, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.023903774097561836, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.02941272407770157, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 0.00010164400737266988, 'redshifts/mse': 0.312720388174057, 'redshifts/mse_bin_0': 0.4401961863040924, 'redshifts/mse_bin_1': 0.3647039830684662, 'redshifts/mse_bin_2': 0.2930108606815338, 'redshifts/mse_bin_3': 0.21560043096542358, 'redshifts/mse_bin_4': 0.2211722582578659, 'redshifts/mse_bin_5': 0.07385091483592987, 'redshifts/nmad': 0.11290237307548523, 'redshifts/nmad_bin_0': 0.21373730897903442, 'redshifts/nmad_bin_1': 0.13483844697475433, 'redshifts/nmad_bin_2': 0.08859013020992279, 'redshifts/nmad_bin_3': 0.07141977548599243, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.035379208624362946, 'redshifts/outlier_fraction': 0.32767176628112793, 'redshifts/outlier_fraction_bin_0': 0.4907626807689667, 'redshifts/outlier_fraction_bin_1': 0.3568255305290222, 'redshifts/outlier_fraction_bin_2': 0.26209548115730286, 'redshifts/outlier_fraction_bin_3': 0.19662760198116302, 'redshifts/outlier_fraction_bin_4': 0.18364419043064117, 'redshifts/outlier_fraction_bin_5': 0.09344816207885742, 'redshifts/outlier_fraction_cata': 0.0894138291478157, 'redshifts/outlier_fraction_cata_bin_0': 0.1337955743074417, 'redshifts/outlier_fraction_cata_bin_1': 0.0999596118927002, 'redshifts/outlier_fraction_cata_bin_2': 0.08026273548603058, 'redshifts/outlier_fraction_cata_bin_3': 0.05515861511230469, 'redshifts/outlier_fraction_cata_bin_4': 0.0564323291182518, 'redshifts/outlier_fraction_cata_bin_5': 0.016741789877414703}\n", + "total num of pts: tensor([61530.])\n", + "total num of pts: tensor([22370., 14875., 6251., 3505., 2092., 12437.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 975/1563 [1:34:06<55:16, 5.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07616356015205383, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023903774097561836, 'redshifts/bias': 0.004496110137552023, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.31277579069137573, 'redshifts/mse_bin_0': 0.44013524055480957, 'redshifts/mse_bin_1': 0.3650631308555603, 'redshifts/mse_bin_2': 0.29324644804000854, 'redshifts/mse_bin_3': 0.215642511844635, 'redshifts/mse_bin_4': 0.22106653451919556, 'redshifts/mse_bin_5': 0.07377772033214569, 'redshifts/nmad': 0.11284638196229935, 'redshifts/nmad_bin_0': 0.21358735859394073, 'redshifts/nmad_bin_1': 0.13472633063793182, 'redshifts/nmad_bin_2': 0.08859013020992279, 'redshifts/nmad_bin_3': 0.07127022743225098, 'redshifts/nmad_bin_4': 0.06288224458694458, 'redshifts/nmad_bin_5': 0.03537454456090927, 'redshifts/outlier_fraction': 0.3276287913322449, 'redshifts/outlier_fraction_bin_0': 0.490701824426651, 'redshifts/outlier_fraction_bin_1': 0.35677310824394226, 'redshifts/outlier_fraction_bin_2': 0.26235800981521606, 'redshifts/outlier_fraction_bin_3': 0.1968616247177124, 'redshifts/outlier_fraction_bin_4': 0.18355640769004822, 'redshifts/outlier_fraction_bin_5': 0.09335048496723175, 'redshifts/outlier_fraction_cata': 0.08941979706287384, 'redshifts/outlier_fraction_cata_bin_0': 0.13379526138305664, 'redshifts/outlier_fraction_cata_bin_1': 0.0999663844704628, 'redshifts/outlier_fraction_cata_bin_2': 0.08030714839696884, 'redshifts/outlier_fraction_cata_bin_3': 0.055349498987197876, 'redshifts/outlier_fraction_cata_bin_4': 0.05640535429120064, 'redshifts/outlier_fraction_cata_bin_5': 0.01672429032623768}\n", + "total num of pts: tensor([61586.])\n", + "total num of pts: tensor([22391., 14892., 6256., 3510., 2093., 12444.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 62%|██████▏ | 976/1563 [1:34:11<52:40, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07615724205970764, 'redshifts/bias_abs_bin_0': 0.1454494148492813, 'redshifts/bias_abs_bin_1': 0.09136033803224564, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023903774097561836, 'redshifts/bias': 0.0045113894157111645, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.3127627670764923, 'redshifts/mse_bin_0': 0.43993908166885376, 'redshifts/mse_bin_1': 0.3651706874370575, 'redshifts/mse_bin_2': 0.2935875654220581, 'redshifts/mse_bin_3': 0.21544955670833588, 'redshifts/mse_bin_4': 0.22096134722232819, 'redshifts/mse_bin_5': 0.07374079525470734, 'redshifts/nmad': 0.11277192085981369, 'redshifts/nmad_bin_0': 0.21354418992996216, 'redshifts/nmad_bin_1': 0.1346798688173294, 'redshifts/nmad_bin_2': 0.08855530619621277, 'redshifts/nmad_bin_3': 0.07144871354103088, 'redshifts/nmad_bin_4': 0.06281162053346634, 'redshifts/nmad_bin_5': 0.03537454456090927, 'redshifts/outlier_fraction': 0.3276069164276123, 'redshifts/outlier_fraction_bin_0': 0.49064356088638306, 'redshifts/outlier_fraction_bin_1': 0.35676872730255127, 'redshifts/outlier_fraction_bin_2': 0.26230818033218384, 'redshifts/outlier_fraction_bin_3': 0.19686609506607056, 'redshifts/outlier_fraction_bin_4': 0.18346869945526123, 'redshifts/outlier_fraction_bin_5': 0.09329797327518463, 'redshifts/outlier_fraction_cata': 0.089403435587883, 'redshifts/outlier_fraction_cata_bin_0': 0.1337144374847412, 'redshifts/outlier_fraction_cata_bin_1': 0.09998656809329987, 'redshifts/outlier_fraction_cata_bin_2': 0.08040281385183334, 'redshifts/outlier_fraction_cata_bin_3': 0.05527065694332123, 'redshifts/outlier_fraction_cata_bin_4': 0.056378405541181564, 'redshifts/outlier_fraction_cata_bin_5': 0.016714882105588913}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 977/1563 [1:34:16<51:24, 5.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61640.])\n", + "total num of pts: tensor([22416., 14904., 6260., 3512., 2094., 12454.])\n", + "{'redshifts/bias_abs': 0.07610651105642319, 'redshifts/bias_abs_bin_0': 0.1453431099653244, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.042047545313835144, 'redshifts/bias_abs_bin_5': 0.023895373567938805, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.3126358687877655, 'redshifts/mse_bin_0': 0.4396696388721466, 'redshifts/mse_bin_1': 0.3651498258113861, 'redshifts/mse_bin_2': 0.2934015691280365, 'redshifts/mse_bin_3': 0.21532699465751648, 'redshifts/mse_bin_4': 0.2208559662103653, 'redshifts/mse_bin_5': 0.07368379086256027, 'redshifts/nmad': 0.11272905766963959, 'redshifts/nmad_bin_0': 0.21342521905899048, 'redshifts/nmad_bin_1': 0.13470207154750824, 'redshifts/nmad_bin_2': 0.08847426623106003, 'redshifts/nmad_bin_3': 0.07130440324544907, 'redshifts/nmad_bin_4': 0.06257781386375427, 'redshifts/nmad_bin_5': 0.03536482900381088, 'redshifts/outlier_fraction': 0.32756325602531433, 'redshifts/outlier_fraction_bin_0': 0.4904978573322296, 'redshifts/outlier_fraction_bin_1': 0.35688406229019165, 'redshifts/outlier_fraction_bin_2': 0.26214057207107544, 'redshifts/outlier_fraction_bin_3': 0.19675399363040924, 'redshifts/outlier_fraction_bin_4': 0.1833810955286026, 'redshifts/outlier_fraction_bin_5': 0.09322305768728256, 'redshifts/outlier_fraction_cata': 0.08935756236314774, 'redshifts/outlier_fraction_cata_bin_0': 0.13360992074012756, 'redshifts/outlier_fraction_cata_bin_1': 0.099973164498806, 'redshifts/outlier_fraction_cata_bin_2': 0.08035143464803696, 'redshifts/outlier_fraction_cata_bin_3': 0.055239178240299225, 'redshifts/outlier_fraction_cata_bin_4': 0.05635147914290428, 'redshifts/outlier_fraction_cata_bin_5': 0.016701461747288704}\n", + "total num of pts: tensor([61698.])\n", + "total num of pts: tensor([22438., 14912., 6271., 3514., 2095., 12468.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 978/1563 [1:34:22<52:46, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07612184435129166, 'redshifts/bias_abs_bin_0': 0.14541737735271454, 'redshifts/bias_abs_bin_1': 0.09146305918693542, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023889830335974693, 'redshifts/bias': 0.004516751039773226, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.31248363852500916, 'redshifts/mse_bin_0': 0.43954965472221375, 'redshifts/mse_bin_1': 0.3650294244289398, 'redshifts/mse_bin_2': 0.29292887449264526, 'redshifts/mse_bin_3': 0.21526573598384857, 'redshifts/mse_bin_4': 0.22077226638793945, 'redshifts/mse_bin_5': 0.07361004501581192, 'redshifts/nmad': 0.11272657662630081, 'redshifts/nmad_bin_0': 0.21347437798976898, 'redshifts/nmad_bin_1': 0.13473182916641235, 'redshifts/nmad_bin_2': 0.088467538356781, 'redshifts/nmad_bin_3': 0.07144871354103088, 'redshifts/nmad_bin_4': 0.06281162053346634, 'redshifts/nmad_bin_5': 0.03536245971918106, 'redshifts/outlier_fraction': 0.3275794982910156, 'redshifts/outlier_fraction_bin_0': 0.49064087867736816, 'redshifts/outlier_fraction_bin_1': 0.35696083307266235, 'redshifts/outlier_fraction_bin_2': 0.2616807520389557, 'redshifts/outlier_fraction_bin_3': 0.19692657887935638, 'redshifts/outlier_fraction_bin_4': 0.18329355120658875, 'redshifts/outlier_fraction_bin_5': 0.09319858998060226, 'redshifts/outlier_fraction_cata': 0.08927355706691742, 'redshifts/outlier_fraction_cata_bin_0': 0.13347892463207245, 'redshifts/outlier_fraction_cata_bin_1': 0.09991952776908875, 'redshifts/outlier_fraction_cata_bin_2': 0.08021049201488495, 'redshifts/outlier_fraction_cata_bin_3': 0.055207740515470505, 'redshifts/outlier_fraction_cata_bin_4': 0.05632458254694939, 'redshifts/outlier_fraction_cata_bin_5': 0.016682708635926247}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 979/1563 [1:34:28<54:04, 5.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61752.])\n", + "total num of pts: tensor([22457., 14923., 6281., 3516., 2097., 12478.])\n", + "{'redshifts/bias_abs': 0.07612531632184982, 'redshifts/bias_abs_bin_0': 0.14549875259399414, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01079730223864317, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 0.00010164400737266988, 'redshifts/mse': 0.3125903904438019, 'redshifts/mse_bin_0': 0.4393985867500305, 'redshifts/mse_bin_1': 0.3653605580329895, 'redshifts/mse_bin_2': 0.29344049096107483, 'redshifts/mse_bin_3': 0.21521666646003723, 'redshifts/mse_bin_4': 0.22186143696308136, 'redshifts/mse_bin_5': 0.07358505576848984, 'redshifts/nmad': 0.11274480819702148, 'redshifts/nmad_bin_0': 0.2134733498096466, 'redshifts/nmad_bin_1': 0.13473393023014069, 'redshifts/nmad_bin_2': 0.08862148970365524, 'redshifts/nmad_bin_3': 0.07141977548599243, 'redshifts/nmad_bin_4': 0.06291522830724716, 'redshifts/nmad_bin_5': 0.03534875437617302, 'redshifts/outlier_fraction': 0.3276655077934265, 'redshifts/outlier_fraction_bin_0': 0.4907155930995941, 'redshifts/outlier_fraction_bin_1': 0.35703277587890625, 'redshifts/outlier_fraction_bin_2': 0.2617417573928833, 'redshifts/outlier_fraction_bin_3': 0.197098970413208, 'redshifts/outlier_fraction_bin_4': 0.18407247960567474, 'redshifts/outlier_fraction_bin_5': 0.09320403635501862, 'redshifts/outlier_fraction_cata': 0.08927646279335022, 'redshifts/outlier_fraction_cata_bin_0': 0.1334105134010315, 'redshifts/outlier_fraction_cata_bin_1': 0.09997989982366562, 'redshifts/outlier_fraction_cata_bin_2': 0.08024200052022934, 'redshifts/outlier_fraction_cata_bin_3': 0.05517633631825447, 'redshifts/outlier_fraction_cata_bin_4': 0.05674773454666138, 'redshifts/outlier_fraction_cata_bin_5': 0.016669338569045067}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 980/1563 [1:34:32<49:53, 5.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61827.])\n", + "total num of pts: tensor([22482., 14943., 6287., 3522., 2101., 12492.])\n", + "{'redshifts/bias_abs': 0.07612184435129166, 'redshifts/bias_abs_bin_0': 0.1452959030866623, 'redshifts/bias_abs_bin_1': 0.09150174260139465, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 0.00012642316869460046, 'redshifts/mse': 0.3127177953720093, 'redshifts/mse_bin_0': 0.43923816084861755, 'redshifts/mse_bin_1': 0.3653107285499573, 'redshifts/mse_bin_2': 0.2950664758682251, 'redshifts/mse_bin_3': 0.21488404273986816, 'redshifts/mse_bin_4': 0.22163650393486023, 'redshifts/mse_bin_5': 0.07389166206121445, 'redshifts/nmad': 0.1127287819981575, 'redshifts/nmad_bin_0': 0.21332310140132904, 'redshifts/nmad_bin_1': 0.13474692404270172, 'redshifts/nmad_bin_2': 0.0884912982583046, 'redshifts/nmad_bin_3': 0.07148231565952301, 'redshifts/nmad_bin_4': 0.06295915693044662, 'redshifts/nmad_bin_5': 0.03534529358148575, 'redshifts/outlier_fraction': 0.32755914330482483, 'redshifts/outlier_fraction_bin_0': 0.4904367923736572, 'redshifts/outlier_fraction_bin_1': 0.3568895161151886, 'redshifts/outlier_fraction_bin_2': 0.2619691491127014, 'redshifts/outlier_fraction_bin_3': 0.19676320254802704, 'redshifts/outlier_fraction_bin_4': 0.1846739649772644, 'redshifts/outlier_fraction_bin_5': 0.09325968474149704, 'redshifts/outlier_fraction_cata': 0.08928138017654419, 'redshifts/outlier_fraction_cata_bin_0': 0.133351132273674, 'redshifts/outlier_fraction_cata_bin_1': 0.09997992217540741, 'redshifts/outlier_fraction_cata_bin_2': 0.08048354089260101, 'redshifts/outlier_fraction_cata_bin_3': 0.05508233979344368, 'redshifts/outlier_fraction_cata_bin_4': 0.056639693677425385, 'redshifts/outlier_fraction_cata_bin_5': 0.01673070713877678}\n", + "total num of pts: tensor([61879.])\n", + "total num of pts: tensor([22500., 14959., 6293., 3524., 2102., 12501.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 981/1563 [1:34:38<52:01, 5.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0761222168803215, 'redshifts/bias_abs_bin_0': 0.1452551931142807, 'redshifts/bias_abs_bin_1': 0.09146475791931152, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.01081590261310339, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 0.00010164400737266988, 'redshifts/mse': 0.3128325939178467, 'redshifts/mse_bin_0': 0.43945932388305664, 'redshifts/mse_bin_1': 0.36505311727523804, 'redshifts/mse_bin_2': 0.2950981557369232, 'redshifts/mse_bin_3': 0.21658723056316376, 'redshifts/mse_bin_4': 0.2215314507484436, 'redshifts/mse_bin_5': 0.0738455131649971, 'redshifts/nmad': 0.1127287819981575, 'redshifts/nmad_bin_0': 0.21331599354743958, 'redshifts/nmad_bin_1': 0.13466912508010864, 'redshifts/nmad_bin_2': 0.08854670822620392, 'redshifts/nmad_bin_3': 0.07153493165969849, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.03534875437617302, 'redshifts/outlier_fraction': 0.3275263011455536, 'redshifts/outlier_fraction_bin_0': 0.4903999865055084, 'redshifts/outlier_fraction_bin_1': 0.3567083477973938, 'redshifts/outlier_fraction_bin_2': 0.2621960937976837, 'redshifts/outlier_fraction_bin_3': 0.19693529605865479, 'redshifts/outlier_fraction_bin_4': 0.18458610773086548, 'redshifts/outlier_fraction_bin_5': 0.09319254755973816, 'redshifts/outlier_fraction_cata': 0.0892871543765068, 'redshifts/outlier_fraction_cata_bin_0': 0.1333777755498886, 'redshifts/outlier_fraction_cata_bin_1': 0.09987298399209976, 'redshifts/outlier_fraction_cata_bin_2': 0.08056570589542389, 'redshifts/outlier_fraction_cata_bin_3': 0.055334847420454025, 'redshifts/outlier_fraction_cata_bin_4': 0.05661274865269661, 'redshifts/outlier_fraction_cata_bin_5': 0.016718663275241852}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 982/1563 [1:34:43<51:35, 5.33s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([61955.])\n", + "total num of pts: tensor([22533., 14970., 6297., 3531., 2102., 12522.])\n", + "{'redshifts/bias_abs': 0.07608582079410553, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.09141308069229126, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004522162023931742, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01079730223864317, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 0.00012919306755065918, 'redshifts/mse': 0.312762588262558, 'redshifts/mse_bin_0': 0.4393843114376068, 'redshifts/mse_bin_1': 0.36490505933761597, 'redshifts/mse_bin_2': 0.29491233825683594, 'redshifts/mse_bin_3': 0.2164311707019806, 'redshifts/mse_bin_4': 0.2215314507484436, 'redshifts/mse_bin_5': 0.07402943819761276, 'redshifts/nmad': 0.1126701682806015, 'redshifts/nmad_bin_0': 0.21318356692790985, 'redshifts/nmad_bin_1': 0.1346488744020462, 'redshifts/nmad_bin_2': 0.08847426623106003, 'redshifts/nmad_bin_3': 0.0715194046497345, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.03534296154975891, 'redshifts/outlier_fraction': 0.3274634778499603, 'redshifts/outlier_fraction_bin_0': 0.49025872349739075, 'redshifts/outlier_fraction_bin_1': 0.3566466271877289, 'redshifts/outlier_fraction_bin_2': 0.2620295286178589, 'redshifts/outlier_fraction_bin_3': 0.19711129367351532, 'redshifts/outlier_fraction_bin_4': 0.18458610773086548, 'redshifts/outlier_fraction_bin_5': 0.09327583760023117, 'redshifts/outlier_fraction_cata': 0.08924219012260437, 'redshifts/outlier_fraction_cata_bin_0': 0.1333155781030655, 'redshifts/outlier_fraction_cata_bin_1': 0.09979959577322006, 'redshifts/outlier_fraction_cata_bin_2': 0.08051452785730362, 'redshifts/outlier_fraction_cata_bin_3': 0.05522514879703522, 'redshifts/outlier_fraction_cata_bin_4': 0.05661274865269661, 'redshifts/outlier_fraction_cata_bin_5': 0.016770483925938606}\n", + "total num of pts: tensor([62017.])\n", + "total num of pts: tensor([22548., 14989., 6308., 3534., 2106., 12532.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 983/1563 [1:34:48<49:24, 5.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07601064443588257, 'redshifts/bias_abs_bin_0': 0.14515411853790283, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023889830335974693, 'redshifts/bias': 0.0045113894157111645, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.0057507590390741825, 'redshifts/bias_bin_5': 0.00012919306755065918, 'redshifts/mse': 0.31258028745651245, 'redshifts/mse_bin_0': 0.43928292393684387, 'redshifts/mse_bin_1': 0.3645603656768799, 'redshifts/mse_bin_2': 0.29470396041870117, 'redshifts/mse_bin_3': 0.21625234186649323, 'redshifts/mse_bin_4': 0.22111985087394714, 'redshifts/mse_bin_5': 0.07397391647100449, 'redshifts/nmad': 0.11260710656642914, 'redshifts/nmad_bin_0': 0.2131192982196808, 'redshifts/nmad_bin_1': 0.13454905152320862, 'redshifts/nmad_bin_2': 0.0883512794971466, 'redshifts/nmad_bin_3': 0.07148231565952301, 'redshifts/nmad_bin_4': 0.06291522830724716, 'redshifts/nmad_bin_5': 0.03534458577632904, 'redshifts/outlier_fraction': 0.32734572887420654, 'redshifts/outlier_fraction_bin_0': 0.49019870162010193, 'redshifts/outlier_fraction_bin_1': 0.3565281331539154, 'redshifts/outlier_fraction_bin_2': 0.26188966631889343, 'redshifts/outlier_fraction_bin_3': 0.1969439685344696, 'redshifts/outlier_fraction_bin_4': 0.18423551321029663, 'redshifts/outlier_fraction_bin_5': 0.0932014063000679, 'redshifts/outlier_fraction_cata': 0.08918522298336029, 'redshifts/outlier_fraction_cata_bin_0': 0.1332712471485138, 'redshifts/outlier_fraction_cata_bin_1': 0.09967309236526489, 'redshifts/outlier_fraction_cata_bin_2': 0.08053265511989594, 'redshifts/outlier_fraction_cata_bin_3': 0.05517826974391937, 'redshifts/outlier_fraction_cata_bin_4': 0.056505221873521805, 'redshifts/outlier_fraction_cata_bin_5': 0.01675710268318653}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 984/1563 [1:34:53<49:18, 5.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62076.])\n", + "total num of pts: tensor([22577., 15003., 6311., 3535., 2108., 12542.])\n", + "{'redshifts/bias_abs': 0.07602137327194214, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.09138645976781845, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004497987683862448, 'redshifts/bias_bin_0': 0.029130849987268448, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.31252604722976685, 'redshifts/mse_bin_0': 0.4391576051712036, 'redshifts/mse_bin_1': 0.364287406206131, 'redshifts/mse_bin_2': 0.2945718467235565, 'redshifts/mse_bin_3': 0.21632198989391327, 'redshifts/mse_bin_4': 0.22263099253177643, 'redshifts/mse_bin_5': 0.07391618937253952, 'redshifts/nmad': 0.11260443180799484, 'redshifts/nmad_bin_0': 0.2131500095129013, 'redshifts/nmad_bin_1': 0.13454900681972504, 'redshifts/nmad_bin_2': 0.08836831152439117, 'redshifts/nmad_bin_3': 0.0715194046497345, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.03534361347556114, 'redshifts/outlier_fraction': 0.3273729085922241, 'redshifts/outlier_fraction_bin_0': 0.4901891350746155, 'redshifts/outlier_fraction_bin_1': 0.3564620316028595, 'redshifts/outlier_fraction_bin_2': 0.261923611164093, 'redshifts/outlier_fraction_bin_3': 0.197171151638031, 'redshifts/outlier_fraction_bin_4': 0.18453510105609894, 'redshifts/outlier_fraction_bin_5': 0.09312709420919418, 'redshifts/outlier_fraction_cata': 0.08916489779949188, 'redshifts/outlier_fraction_cata_bin_0': 0.1332329362630844, 'redshifts/outlier_fraction_cata_bin_1': 0.09958008676767349, 'redshifts/outlier_fraction_cata_bin_2': 0.08049437403678894, 'redshifts/outlier_fraction_cata_bin_3': 0.05516266077756882, 'redshifts/outlier_fraction_cata_bin_4': 0.056925997138023376, 'redshifts/outlier_fraction_cata_bin_5': 0.016743741929531097}\n", + "total num of pts: tensor([62147.])\n", + "total num of pts: tensor([22600., 15026., 6316., 3539., 2111., 12555.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 985/1563 [1:34:58<50:31, 5.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07600420713424683, 'redshifts/bias_abs_bin_0': 0.14517082273960114, 'redshifts/bias_abs_bin_1': 0.09128718823194504, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004516751039773226, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.31257137656211853, 'redshifts/mse_bin_0': 0.4389990270137787, 'redshifts/mse_bin_1': 0.36428800225257874, 'redshifts/mse_bin_2': 0.29458796977996826, 'redshifts/mse_bin_3': 0.21611791849136353, 'redshifts/mse_bin_4': 0.22232018411159515, 'redshifts/mse_bin_5': 0.07450633496046066, 'redshifts/nmad': 0.11256798356771469, 'redshifts/nmad_bin_0': 0.21312108635902405, 'redshifts/nmad_bin_1': 0.13444790244102478, 'redshifts/nmad_bin_2': 0.08845404535531998, 'redshifts/nmad_bin_3': 0.07149538397789001, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.03534361347556114, 'redshifts/outlier_fraction': 0.3273528814315796, 'redshifts/outlier_fraction_bin_0': 0.4901770055294037, 'redshifts/outlier_fraction_bin_1': 0.35638228058815, 'redshifts/outlier_fraction_bin_2': 0.2620329260826111, 'redshifts/outlier_fraction_bin_3': 0.19694828987121582, 'redshifts/outlier_fraction_bin_4': 0.1842728555202484, 'redshifts/outlier_fraction_bin_5': 0.09318996220827103, 'redshifts/outlier_fraction_cata': 0.08917566388845444, 'redshifts/outlier_fraction_cata_bin_0': 0.13318583369255066, 'redshifts/outlier_fraction_cata_bin_1': 0.09956075996160507, 'redshifts/outlier_fraction_cata_bin_2': 0.08058898150920868, 'redshifts/outlier_fraction_cata_bin_3': 0.05510031059384346, 'redshifts/outlier_fraction_cata_bin_4': 0.05684509873390198, 'redshifts/outlier_fraction_cata_bin_5': 0.016885703429579735}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 986/1563 [1:35:03<49:19, 5.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62203.])\n", + "total num of pts: tensor([22622., 15039., 6323., 3541., 2111., 12567.])\n", + "{'redshifts/bias_abs': 0.07601064443588257, 'redshifts/bias_abs_bin_0': 0.14522893726825714, 'redshifts/bias_abs_bin_1': 0.09122022241353989, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023889830335974693, 'redshifts/bias': 0.004516751039773226, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010713315568864346, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.005798391066491604, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.3125503361225128, 'redshifts/mse_bin_0': 0.43902403116226196, 'redshifts/mse_bin_1': 0.3641941547393799, 'redshifts/mse_bin_2': 0.294412225484848, 'redshifts/mse_bin_3': 0.21600010991096497, 'redshifts/mse_bin_4': 0.22232018411159515, 'redshifts/mse_bin_5': 0.07456890493631363, 'redshifts/nmad': 0.11258281022310257, 'redshifts/nmad_bin_0': 0.213201642036438, 'redshifts/nmad_bin_1': 0.13443493843078613, 'redshifts/nmad_bin_2': 0.08848372846841812, 'redshifts/nmad_bin_3': 0.07144298404455185, 'redshifts/nmad_bin_4': 0.0629858523607254, 'redshifts/nmad_bin_5': 0.03534393385052681, 'redshifts/outlier_fraction': 0.3273475468158722, 'redshifts/outlier_fraction_bin_0': 0.4902307391166687, 'redshifts/outlier_fraction_bin_1': 0.35627368092536926, 'redshifts/outlier_fraction_bin_2': 0.26190099120140076, 'redshifts/outlier_fraction_bin_3': 0.19683705270290375, 'redshifts/outlier_fraction_bin_4': 0.1842728555202484, 'redshifts/outlier_fraction_bin_5': 0.09326012432575226, 'redshifts/outlier_fraction_cata': 0.0891757607460022, 'redshifts/outlier_fraction_cata_bin_0': 0.13318893313407898, 'redshifts/outlier_fraction_cata_bin_1': 0.0996076837182045, 'redshifts/outlier_fraction_cata_bin_2': 0.08049976080656052, 'redshifts/outlier_fraction_cata_bin_3': 0.05506918951869011, 'redshifts/outlier_fraction_cata_bin_4': 0.05684509873390198, 'redshifts/outlier_fraction_cata_bin_5': 0.016869578510522842}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 987/1563 [1:35:11<56:17, 5.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62259.])\n", + "total num of pts: tensor([22644., 15054., 6324., 3545., 2114., 12578.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14524006843566895, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.02389511466026306, 'redshifts/bias': 0.004497987683862448, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010664642788469791, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 0.00013360381126403809, 'redshifts/mse': 0.31267088651657104, 'redshifts/mse_bin_0': 0.43920308351516724, 'redshifts/mse_bin_1': 0.3640354573726654, 'redshifts/mse_bin_2': 0.2943660318851471, 'redshifts/mse_bin_3': 0.21668539941310883, 'redshifts/mse_bin_4': 0.22412949800491333, 'redshifts/mse_bin_5': 0.07453786581754684, 'redshifts/nmad': 0.11262667924165726, 'redshifts/nmad_bin_0': 0.21324549615383148, 'redshifts/nmad_bin_1': 0.13444070518016815, 'redshifts/nmad_bin_2': 0.0884314477443695, 'redshifts/nmad_bin_3': 0.07146678864955902, 'redshifts/nmad_bin_4': 0.06299673765897751, 'redshifts/nmad_bin_5': 0.03534949943423271, 'redshifts/outlier_fraction': 0.32745465636253357, 'redshifts/outlier_fraction_bin_0': 0.4903727173805237, 'redshifts/outlier_fraction_bin_1': 0.3562508225440979, 'redshifts/outlier_fraction_bin_2': 0.26185959577560425, 'redshifts/outlier_fraction_bin_3': 0.19717912375926971, 'redshifts/outlier_fraction_bin_4': 0.18495742976665497, 'redshifts/outlier_fraction_bin_5': 0.09333757311105728, 'redshifts/outlier_fraction_cata': 0.08917586505413055, 'redshifts/outlier_fraction_cata_bin_0': 0.1331920176744461, 'redshifts/outlier_fraction_cata_bin_1': 0.09950843453407288, 'redshifts/outlier_fraction_cata_bin_2': 0.08048703521490097, 'redshifts/outlier_fraction_cata_bin_3': 0.0552891381084919, 'redshifts/outlier_fraction_cata_bin_4': 0.05723746493458748, 'redshifts/outlier_fraction_cata_bin_5': 0.016854826360940933}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 988/1563 [1:35:17<56:29, 5.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62325.])\n", + "total num of pts: tensor([22670., 15068., 6328., 3551., 2116., 12592.])\n", + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.14522893726825714, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010713315568864346, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.3124728202819824, 'redshifts/mse_bin_0': 0.43890514969825745, 'redshifts/mse_bin_1': 0.3639150559902191, 'redshifts/mse_bin_2': 0.2941964268684387, 'redshifts/mse_bin_3': 0.2163291722536087, 'redshifts/mse_bin_4': 0.22396214306354523, 'redshifts/mse_bin_5': 0.0744641050696373, 'redshifts/nmad': 0.11261754482984543, 'redshifts/nmad_bin_0': 0.2132239043712616, 'redshifts/nmad_bin_1': 0.13443493843078613, 'redshifts/nmad_bin_2': 0.08842554688453674, 'redshifts/nmad_bin_3': 0.07144871354103088, 'redshifts/nmad_bin_4': 0.06301632523536682, 'redshifts/nmad_bin_5': 0.035335857421159744, 'redshifts/outlier_fraction': 0.32736462354660034, 'redshifts/outlier_fraction_bin_0': 0.490207314491272, 'redshifts/outlier_fraction_bin_1': 0.35631802678108215, 'redshifts/outlier_fraction_bin_2': 0.2616940438747406, 'redshifts/outlier_fraction_bin_3': 0.19684596359729767, 'redshifts/outlier_fraction_bin_4': 0.18525519967079163, 'redshifts/outlier_fraction_bin_5': 0.09323380142450333, 'redshifts/outlier_fraction_cata': 0.08912955969572067, 'redshifts/outlier_fraction_cata_bin_0': 0.13308337330818176, 'redshifts/outlier_fraction_cata_bin_1': 0.09954871237277985, 'redshifts/outlier_fraction_cata_bin_2': 0.08043615520000458, 'redshifts/outlier_fraction_cata_bin_3': 0.05519571900367737, 'redshifts/outlier_fraction_cata_bin_4': 0.057183366268873215, 'redshifts/outlier_fraction_cata_bin_5': 0.01683608628809452}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 989/1563 [1:35:21<52:17, 5.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62401.])\n", + "total num of pts: tensor([22697., 15083., 6337., 3554., 2116., 12614.])\n", + "{'redshifts/bias_abs': 0.07600955665111542, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023889830335974693, 'redshifts/bias': 0.004522162023931742, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.3122715950012207, 'redshifts/mse_bin_0': 0.4386947453022003, 'redshifts/mse_bin_1': 0.36365777254104614, 'redshifts/mse_bin_2': 0.294050008058548, 'redshifts/mse_bin_3': 0.21616631746292114, 'redshifts/mse_bin_4': 0.22396214306354523, 'redshifts/mse_bin_5': 0.07439389079809189, 'redshifts/nmad': 0.1125560775399208, 'redshifts/nmad_bin_0': 0.21299272775650024, 'redshifts/nmad_bin_1': 0.13443340361118317, 'redshifts/nmad_bin_2': 0.08840563148260117, 'redshifts/nmad_bin_3': 0.07126973569393158, 'redshifts/nmad_bin_4': 0.06301632523536682, 'redshifts/nmad_bin_5': 0.03533018007874489, 'redshifts/outlier_fraction': 0.32728642225265503, 'redshifts/outlier_fraction_bin_0': 0.4899766445159912, 'redshifts/outlier_fraction_bin_1': 0.35622885823249817, 'redshifts/outlier_fraction_bin_2': 0.26195359230041504, 'redshifts/outlier_fraction_bin_3': 0.19667980074882507, 'redshifts/outlier_fraction_bin_4': 0.18525519967079163, 'redshifts/outlier_fraction_bin_5': 0.09338829666376114, 'redshifts/outlier_fraction_cata': 0.08906908333301544, 'redshifts/outlier_fraction_cata_bin_0': 0.13305723667144775, 'redshifts/outlier_fraction_cata_bin_1': 0.09944970905780792, 'redshifts/outlier_fraction_cata_bin_2': 0.08032191544771194, 'redshifts/outlier_fraction_cata_bin_3': 0.055149126797914505, 'redshifts/outlier_fraction_cata_bin_4': 0.057183366268873215, 'redshifts/outlier_fraction_cata_bin_5': 0.016806723549962044}\n", + "total num of pts: tensor([62451.])\n", + "total num of pts: tensor([22718., 15096., 6340., 3557., 2117., 12623.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 990/1563 [1:35:26<49:25, 5.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07601728290319443, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.023889830335974693, 'redshifts/bias': 0.004538059234619141, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010792608372867107, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.005805734544992447, 'redshifts/bias_bin_5': 0.00014220314915291965, 'redshifts/mse': 0.3122873902320862, 'redshifts/mse_bin_0': 0.4384832978248596, 'redshifts/mse_bin_1': 0.3640260696411133, 'redshifts/mse_bin_2': 0.2941538989543915, 'redshifts/mse_bin_3': 0.21599511802196503, 'redshifts/mse_bin_4': 0.223897323012352, 'redshifts/mse_bin_5': 0.07436001300811768, 'redshifts/nmad': 0.11257918179035187, 'redshifts/nmad_bin_0': 0.21296483278274536, 'redshifts/nmad_bin_1': 0.13443027436733246, 'redshifts/nmad_bin_2': 0.08840563148260117, 'redshifts/nmad_bin_3': 0.07141604274511337, 'redshifts/nmad_bin_4': 0.06304065883159637, 'redshifts/nmad_bin_5': 0.03533736616373062, 'redshifts/outlier_fraction': 0.3273446261882782, 'redshifts/outlier_fraction_bin_0': 0.48991990089416504, 'redshifts/outlier_fraction_bin_1': 0.3563195466995239, 'redshifts/outlier_fraction_bin_2': 0.26214510202407837, 'redshifts/outlier_fraction_bin_3': 0.19651392102241516, 'redshifts/outlier_fraction_bin_4': 0.18564005196094513, 'redshifts/outlier_fraction_bin_5': 0.09348015487194061, 'redshifts/outlier_fraction_cata': 0.08904581516981125, 'redshifts/outlier_fraction_cata_bin_0': 0.13297826051712036, 'redshifts/outlier_fraction_cata_bin_1': 0.09943031519651413, 'redshifts/outlier_fraction_cata_bin_2': 0.08044163882732391, 'redshifts/outlier_fraction_cata_bin_3': 0.05510261282324791, 'redshifts/outlier_fraction_cata_bin_4': 0.05715635418891907, 'redshifts/outlier_fraction_cata_bin_5': 0.016794739291071892}\n", + "total num of pts: tensor([62525.])\n", + "total num of pts: tensor([22745., 15111., 6350., 3560., 2120., 12639.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 991/1563 [1:35:31<48:31, 5.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07600420713424683, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09124087542295456, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023889830335974693, 'redshifts/bias': 0.0045310258865356445, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.01079467497766018, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.3122212886810303, 'redshifts/mse_bin_0': 0.43825462460517883, 'redshifts/mse_bin_1': 0.36397653818130493, 'redshifts/mse_bin_2': 0.29380157589912415, 'redshifts/mse_bin_3': 0.2164812982082367, 'redshifts/mse_bin_4': 0.22566404938697815, 'redshifts/mse_bin_5': 0.07427583634853363, 'redshifts/nmad': 0.11254292726516724, 'redshifts/nmad_bin_0': 0.2129264622926712, 'redshifts/nmad_bin_1': 0.1344299018383026, 'redshifts/nmad_bin_2': 0.08828605711460114, 'redshifts/nmad_bin_3': 0.07149911671876907, 'redshifts/nmad_bin_4': 0.06301632523536682, 'redshifts/nmad_bin_5': 0.03534393385052681, 'redshifts/outlier_fraction': 0.3272930681705475, 'redshifts/outlier_fraction_bin_0': 0.4897339940071106, 'redshifts/outlier_fraction_bin_1': 0.3564291000366211, 'redshifts/outlier_fraction_bin_2': 0.2620472311973572, 'redshifts/outlier_fraction_bin_3': 0.19691011309623718, 'redshifts/outlier_fraction_bin_4': 0.18584905564785004, 'redshifts/outlier_fraction_bin_5': 0.09336181730031967, 'redshifts/outlier_fraction_cata': 0.08900439739227295, 'redshifts/outlier_fraction_cata_bin_0': 0.13286437094211578, 'redshifts/outlier_fraction_cata_bin_1': 0.09939779341220856, 'redshifts/outlier_fraction_cata_bin_2': 0.08031496405601501, 'redshifts/outlier_fraction_cata_bin_3': 0.055337078869342804, 'redshifts/outlier_fraction_cata_bin_4': 0.05754717066884041, 'redshifts/outlier_fraction_cata_bin_5': 0.01677347905933857}\n", + "total num of pts: tensor([62599.])\n", + "total num of pts: tensor([22777., 15126., 6356., 3563., 2125., 12652.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 63%|██████▎ | 992/1563 [1:35:36<47:54, 5.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07598846405744553, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09121633321046829, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004538059234619141, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.01079467497766018, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.005807304754853249, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.3123260736465454, 'redshifts/mse_bin_0': 0.43861445784568787, 'redshifts/mse_bin_1': 0.36369919776916504, 'redshifts/mse_bin_2': 0.29408517479896545, 'redshifts/mse_bin_3': 0.21633103489875793, 'redshifts/mse_bin_4': 0.2251681089401245, 'redshifts/mse_bin_5': 0.07439116388559341, 'redshifts/nmad': 0.11251238733530045, 'redshifts/nmad_bin_0': 0.2128671407699585, 'redshifts/nmad_bin_1': 0.13441693782806396, 'redshifts/nmad_bin_2': 0.08825068920850754, 'redshifts/nmad_bin_3': 0.07151085883378983, 'redshifts/nmad_bin_4': 0.06301632523536682, 'redshifts/nmad_bin_5': 0.035340216010808945, 'redshifts/outlier_fraction': 0.3272736072540283, 'redshifts/outlier_fraction_bin_0': 0.48970451951026917, 'redshifts/outlier_fraction_bin_1': 0.35627397894859314, 'redshifts/outlier_fraction_bin_2': 0.26195719838142395, 'redshifts/outlier_fraction_bin_3': 0.19702498614788055, 'redshifts/outlier_fraction_bin_4': 0.1858823597431183, 'redshifts/outlier_fraction_bin_5': 0.09342396259307861, 'redshifts/outlier_fraction_cata': 0.08905892819166183, 'redshifts/outlier_fraction_cata_bin_0': 0.13302893936634064, 'redshifts/outlier_fraction_cata_bin_1': 0.09929922223091125, 'redshifts/outlier_fraction_cata_bin_2': 0.08039647340774536, 'redshifts/outlier_fraction_cata_bin_3': 0.05529048666357994, 'redshifts/outlier_fraction_cata_bin_4': 0.057411763817071915, 'redshifts/outlier_fraction_cata_bin_5': 0.016835283488035202}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▎ | 993/1563 [1:35:41<50:21, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62647.])\n", + "total num of pts: tensor([22796., 15136., 6358., 3565., 2130., 12662.])\n", + "{'redshifts/bias_abs': 0.07596947997808456, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09120601415634155, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004531383514404297, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.01079467497766018, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.31214040517807007, 'redshifts/mse_bin_0': 0.4383327066898346, 'redshifts/mse_bin_1': 0.3635403513908386, 'redshifts/mse_bin_2': 0.2940005958080292, 'redshifts/mse_bin_3': 0.21621085703372955, 'redshifts/mse_bin_4': 0.22469781339168549, 'redshifts/mse_bin_5': 0.07433542609214783, 'redshifts/nmad': 0.11247876286506653, 'redshifts/nmad_bin_0': 0.2127361297607422, 'redshifts/nmad_bin_1': 0.1344008892774582, 'redshifts/nmad_bin_2': 0.08825068920850754, 'redshifts/nmad_bin_3': 0.07136309146881104, 'redshifts/nmad_bin_4': 0.06293917447328568, 'redshifts/nmad_bin_5': 0.03532453626394272, 'redshifts/outlier_fraction': 0.3271505534648895, 'redshifts/outlier_fraction_bin_0': 0.48947182297706604, 'redshifts/outlier_fraction_bin_1': 0.3561707139015198, 'redshifts/outlier_fraction_bin_2': 0.261874794960022, 'redshifts/outlier_fraction_bin_3': 0.1969144493341446, 'redshifts/outlier_fraction_bin_4': 0.18638497591018677, 'redshifts/outlier_fraction_bin_5': 0.09335017949342728, 'redshifts/outlier_fraction_cata': 0.0889906957745552, 'redshifts/outlier_fraction_cata_bin_0': 0.13291805982589722, 'redshifts/outlier_fraction_cata_bin_1': 0.09923361241817474, 'redshifts/outlier_fraction_cata_bin_2': 0.0803711861371994, 'redshifts/outlier_fraction_cata_bin_3': 0.05525946617126465, 'redshifts/outlier_fraction_cata_bin_4': 0.05727699398994446, 'redshifts/outlier_fraction_cata_bin_5': 0.01682198792695999}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▎ | 994/1563 [1:35:48<52:47, 5.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62699.])\n", + "total num of pts: tensor([22817., 15150., 6364., 3566., 2132., 12670.])\n", + "{'redshifts/bias_abs': 0.075961172580719, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09111484885215759, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010713315568864346, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.3120793104171753, 'redshifts/mse_bin_0': 0.4383384883403778, 'redshifts/mse_bin_1': 0.36328887939453125, 'redshifts/mse_bin_2': 0.2937878966331482, 'redshifts/mse_bin_3': 0.21617385745048523, 'redshifts/mse_bin_4': 0.22456318140029907, 'redshifts/mse_bin_5': 0.07437753677368164, 'redshifts/nmad': 0.11247941106557846, 'redshifts/nmad_bin_0': 0.2128128856420517, 'redshifts/nmad_bin_1': 0.13433605432510376, 'redshifts/nmad_bin_2': 0.08821970969438553, 'redshifts/nmad_bin_3': 0.07140430063009262, 'redshifts/nmad_bin_4': 0.06293917447328568, 'redshifts/nmad_bin_5': 0.03530929610133171, 'redshifts/outlier_fraction': 0.32719820737838745, 'redshifts/outlier_fraction_bin_0': 0.4895472526550293, 'redshifts/outlier_fraction_bin_1': 0.3560396134853363, 'redshifts/outlier_fraction_bin_2': 0.26194217801094055, 'redshifts/outlier_fraction_bin_3': 0.1971396505832672, 'redshifts/outlier_fraction_bin_4': 0.18621012568473816, 'redshifts/outlier_fraction_bin_5': 0.09344909340143204, 'redshifts/outlier_fraction_cata': 0.08899663388729095, 'redshifts/outlier_fraction_cata_bin_0': 0.13297103345394135, 'redshifts/outlier_fraction_cata_bin_1': 0.0991419106721878, 'redshifts/outlier_fraction_cata_bin_2': 0.08029541373252869, 'redshifts/outlier_fraction_cata_bin_3': 0.055243972688913345, 'redshifts/outlier_fraction_cata_bin_4': 0.05722326412796974, 'redshifts/outlier_fraction_cata_bin_5': 0.01689029112458229}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▎ | 995/1563 [1:35:53<51:14, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62767.])\n", + "total num of pts: tensor([22838., 15164., 6376., 3567., 2134., 12688.])\n", + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09113053977489471, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.0045310258865356445, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010664642788469791, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.3119828402996063, 'redshifts/mse_bin_0': 0.43834608793258667, 'redshifts/mse_bin_1': 0.3630703389644623, 'redshifts/mse_bin_2': 0.2938495874404907, 'redshifts/mse_bin_3': 0.2161133736371994, 'redshifts/mse_bin_4': 0.2243540734052658, 'redshifts/mse_bin_5': 0.07427964359521866, 'redshifts/nmad': 0.11246073246002197, 'redshifts/nmad_bin_0': 0.2129400372505188, 'redshifts/nmad_bin_1': 0.13444070518016815, 'redshifts/nmad_bin_2': 0.08804737776517868, 'redshifts/nmad_bin_3': 0.07140430063009262, 'redshifts/nmad_bin_4': 0.06277401000261307, 'redshifts/nmad_bin_5': 0.03527534380555153, 'redshifts/outlier_fraction': 0.3271464407444, 'redshifts/outlier_fraction_bin_0': 0.4896663427352905, 'redshifts/outlier_fraction_bin_1': 0.3560406267642975, 'redshifts/outlier_fraction_bin_2': 0.26160600781440735, 'redshifts/outlier_fraction_bin_3': 0.19708438217639923, 'redshifts/outlier_fraction_bin_4': 0.186035618185997, 'redshifts/outlier_fraction_bin_5': 0.09331651777029037, 'redshifts/outlier_fraction_cata': 0.08896394819021225, 'redshifts/outlier_fraction_cata_bin_0': 0.1329801231622696, 'redshifts/outlier_fraction_cata_bin_1': 0.0990503802895546, 'redshifts/outlier_fraction_cata_bin_2': 0.08030112832784653, 'redshifts/outlier_fraction_cata_bin_3': 0.05522848293185234, 'redshifts/outlier_fraction_cata_bin_4': 0.057169634848833084, 'redshifts/outlier_fraction_cata_bin_5': 0.016866330057382584}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▎ | 996/1563 [1:35:58<49:41, 5.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62822.])\n", + "total num of pts: tensor([22852., 15176., 6381., 3570., 2137., 12706.])\n", + "{'redshifts/bias_abs': 0.07593351602554321, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09109273552894592, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004522162023931742, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010665003210306168, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.3118121325969696, 'redshifts/mse_bin_0': 0.4382270276546478, 'redshifts/mse_bin_1': 0.36285319924354553, 'redshifts/mse_bin_2': 0.29365888237953186, 'redshifts/mse_bin_3': 0.21594204008579254, 'redshifts/mse_bin_4': 0.22407326102256775, 'redshifts/mse_bin_5': 0.07430002093315125, 'redshifts/nmad': 0.11243250966072083, 'redshifts/nmad_bin_0': 0.21290701627731323, 'redshifts/nmad_bin_1': 0.1343972384929657, 'redshifts/nmad_bin_2': 0.08805705606937408, 'redshifts/nmad_bin_3': 0.07124225795269012, 'redshifts/nmad_bin_4': 0.06293917447328568, 'redshifts/nmad_bin_5': 0.03526165336370468, 'redshifts/outlier_fraction': 0.32701918482780457, 'redshifts/outlier_fraction_bin_0': 0.48958516120910645, 'redshifts/outlier_fraction_bin_1': 0.3558908700942993, 'redshifts/outlier_fraction_bin_2': 0.26155775785446167, 'redshifts/outlier_fraction_bin_3': 0.1969187706708908, 'redshifts/outlier_fraction_bin_4': 0.18577444553375244, 'redshifts/outlier_fraction_bin_5': 0.09334173053503036, 'redshifts/outlier_fraction_cata': 0.08891789615154266, 'redshifts/outlier_fraction_cata_bin_0': 0.13294240832328796, 'redshifts/outlier_fraction_cata_bin_1': 0.09897205978631973, 'redshifts/outlier_fraction_cata_bin_2': 0.0802382081747055, 'redshifts/outlier_fraction_cata_bin_3': 0.0551820732653141, 'redshifts/outlier_fraction_cata_bin_4': 0.05708937719464302, 'redshifts/outlier_fraction_cata_bin_5': 0.016921140253543854}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 997/1563 [1:36:04<51:27, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62893.])\n", + "total num of pts: tensor([22879., 15191., 6384., 3573., 2140., 12726.])\n", + "{'redshifts/bias_abs': 0.07592260837554932, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.091057687997818, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004530875012278557, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.010713315568864346, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.31184667348861694, 'redshifts/mse_bin_0': 0.43804582953453064, 'redshifts/mse_bin_1': 0.36263716220855713, 'redshifts/mse_bin_2': 0.2941438555717468, 'redshifts/mse_bin_3': 0.2157764732837677, 'redshifts/mse_bin_4': 0.22672346234321594, 'redshifts/mse_bin_5': 0.07450443506240845, 'redshifts/nmad': 0.11239655315876007, 'redshifts/nmad_bin_0': 0.21285679936408997, 'redshifts/nmad_bin_1': 0.1343088001012802, 'redshifts/nmad_bin_2': 0.08805692940950394, 'redshifts/nmad_bin_3': 0.07150368392467499, 'redshifts/nmad_bin_4': 0.06295109540224075, 'redshifts/nmad_bin_5': 0.03524596989154816, 'redshifts/outlier_fraction': 0.3270157277584076, 'redshifts/outlier_fraction_bin_0': 0.48957559466362, 'redshifts/outlier_fraction_bin_1': 0.3558027744293213, 'redshifts/outlier_fraction_bin_2': 0.26174813508987427, 'redshifts/outlier_fraction_bin_3': 0.19675342738628387, 'redshifts/outlier_fraction_bin_4': 0.1864486038684845, 'redshifts/outlier_fraction_bin_5': 0.09335219115018845, 'redshifts/outlier_fraction_cata': 0.08892881870269775, 'redshifts/outlier_fraction_cata_bin_0': 0.1329166442155838, 'redshifts/outlier_fraction_cata_bin_1': 0.09887433052062988, 'redshifts/outlier_fraction_cata_bin_2': 0.0803571417927742, 'redshifts/outlier_fraction_cata_bin_3': 0.05513574182987213, 'redshifts/outlier_fraction_cata_bin_4': 0.0579439252614975, 'redshifts/outlier_fraction_cata_bin_5': 0.01697312667965889}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 998/1563 [1:36:08<49:28, 5.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([62956.])\n", + "total num of pts: tensor([22905., 15208., 6391., 3578., 2140., 12734.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.31190380454063416, 'redshifts/mse_bin_0': 0.43799516558647156, 'redshifts/mse_bin_1': 0.363018274307251, 'redshifts/mse_bin_2': 0.2938390076160431, 'redshifts/mse_bin_3': 0.21572962403297424, 'redshifts/mse_bin_4': 0.22672346234321594, 'redshifts/mse_bin_5': 0.07445984333753586, 'redshifts/nmad': 0.11240161210298538, 'redshifts/nmad_bin_0': 0.21283410489559174, 'redshifts/nmad_bin_1': 0.1343434602022171, 'redshifts/nmad_bin_2': 0.08804527670145035, 'redshifts/nmad_bin_3': 0.07136309146881104, 'redshifts/nmad_bin_4': 0.06295109540224075, 'redshifts/nmad_bin_5': 0.03524412587285042, 'redshifts/outlier_fraction': 0.3269902765750885, 'redshifts/outlier_fraction_bin_0': 0.48950010538101196, 'redshifts/outlier_fraction_bin_1': 0.35586532950401306, 'redshifts/outlier_fraction_bin_2': 0.26146143674850464, 'redshifts/outlier_fraction_bin_3': 0.196757972240448, 'redshifts/outlier_fraction_bin_4': 0.1864486038684845, 'redshifts/outlier_fraction_bin_5': 0.09329354763031006, 'redshifts/outlier_fraction_cata': 0.08895101398229599, 'redshifts/outlier_fraction_cata_bin_0': 0.13289675116539001, 'redshifts/outlier_fraction_cata_bin_1': 0.09902682900428772, 'redshifts/outlier_fraction_cata_bin_2': 0.08026912808418274, 'redshifts/outlier_fraction_cata_bin_3': 0.055058691650629044, 'redshifts/outlier_fraction_cata_bin_4': 0.0579439252614975, 'redshifts/outlier_fraction_cata_bin_5': 0.016962463036179543}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 999/1563 [1:36:14<51:34, 5.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63004.])\n", + "total num of pts: tensor([22923., 15218., 6395., 3581., 2144., 12743.])\n", + "{'redshifts/bias_abs': 0.07591230422258377, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004516751039773226, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.010664642788469791, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.31185048818588257, 'redshifts/mse_bin_0': 0.43803879618644714, 'redshifts/mse_bin_1': 0.36292940378189087, 'redshifts/mse_bin_2': 0.2936772406101227, 'redshifts/mse_bin_3': 0.21555866301059723, 'redshifts/mse_bin_4': 0.2263323962688446, 'redshifts/mse_bin_5': 0.07442346215248108, 'redshifts/nmad': 0.11240210384130478, 'redshifts/nmad_bin_0': 0.2129644751548767, 'redshifts/nmad_bin_1': 0.1342405527830124, 'redshifts/nmad_bin_2': 0.08799862861633301, 'redshifts/nmad_bin_3': 0.0713646337389946, 'redshifts/nmad_bin_4': 0.06295109540224075, 'redshifts/nmad_bin_5': 0.03524412587285042, 'redshifts/outlier_fraction': 0.3270268440246582, 'redshifts/outlier_fraction_bin_0': 0.4896828532218933, 'redshifts/outlier_fraction_bin_1': 0.3558286130428314, 'redshifts/outlier_fraction_bin_2': 0.26129788160324097, 'redshifts/outlier_fraction_bin_3': 0.19659313559532166, 'redshifts/outlier_fraction_bin_4': 0.18656715750694275, 'redshifts/outlier_fraction_bin_5': 0.09330613166093826, 'redshifts/outlier_fraction_cata': 0.08891499042510986, 'redshifts/outlier_fraction_cata_bin_0': 0.1328360140323639, 'redshifts/outlier_fraction_cata_bin_1': 0.09902746975421906, 'redshifts/outlier_fraction_cata_bin_2': 0.08021891862154007, 'redshifts/outlier_fraction_cata_bin_3': 0.05501256510615349, 'redshifts/outlier_fraction_cata_bin_4': 0.05783582106232643, 'redshifts/outlier_fraction_cata_bin_5': 0.01695048250257969}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 1000/1563 [1:36:19<49:56, 5.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63074.])\n", + "total num of pts: tensor([22948., 15240., 6403., 3586., 2146., 12751.])\n", + "{'redshifts/bias_abs': 0.07593366503715515, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.31197378039360046, 'redshifts/mse_bin_0': 0.4381835162639618, 'redshifts/mse_bin_1': 0.362918883562088, 'redshifts/mse_bin_2': 0.2944231629371643, 'redshifts/mse_bin_3': 0.21534402668476105, 'redshifts/mse_bin_4': 0.2261415719985962, 'redshifts/mse_bin_5': 0.0743793398141861, 'redshifts/nmad': 0.11243188381195068, 'redshifts/nmad_bin_0': 0.21294762194156647, 'redshifts/nmad_bin_1': 0.13430671393871307, 'redshifts/nmad_bin_2': 0.08805272728204727, 'redshifts/nmad_bin_3': 0.07136309146881104, 'redshifts/nmad_bin_4': 0.06293917447328568, 'redshifts/nmad_bin_5': 0.035253703594207764, 'redshifts/outlier_fraction': 0.32707613706588745, 'redshifts/outlier_fraction_bin_0': 0.48967230319976807, 'redshifts/outlier_fraction_bin_1': 0.3559055030345917, 'redshifts/outlier_fraction_bin_2': 0.26159611344337463, 'redshifts/outlier_fraction_bin_3': 0.1965978741645813, 'redshifts/outlier_fraction_bin_4': 0.18639329075813293, 'redshifts/outlier_fraction_bin_5': 0.09324758499860764, 'redshifts/outlier_fraction_cata': 0.08895900100469589, 'redshifts/outlier_fraction_cata_bin_0': 0.13286560773849487, 'redshifts/outlier_fraction_cata_bin_1': 0.0990813672542572, 'redshifts/outlier_fraction_cata_bin_2': 0.08043105155229568, 'redshifts/outlier_fraction_cata_bin_3': 0.05493586137890816, 'redshifts/outlier_fraction_cata_bin_4': 0.057781919836997986, 'redshifts/outlier_fraction_cata_bin_5': 0.01693984866142273}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 1001/1563 [1:36:25<50:36, 5.40s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63117.])\n", + "total num of pts: tensor([22966., 15253., 6405., 3590., 2146., 12757.])\n", + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.14501963555812836, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010665003210306168, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 0.00017118453979492188, 'redshifts/mse': 0.31208860874176025, 'redshifts/mse_bin_0': 0.43815046548843384, 'redshifts/mse_bin_1': 0.3634807765483856, 'redshifts/mse_bin_2': 0.2943316698074341, 'redshifts/mse_bin_3': 0.2151569128036499, 'redshifts/mse_bin_4': 0.2261415719985962, 'redshifts/mse_bin_5': 0.07434847950935364, 'redshifts/nmad': 0.11246002465486526, 'redshifts/nmad_bin_0': 0.21300356090068817, 'redshifts/nmad_bin_1': 0.13430961966514587, 'redshifts/nmad_bin_2': 0.08804527670145035, 'redshifts/nmad_bin_3': 0.07150368392467499, 'redshifts/nmad_bin_4': 0.06293917447328568, 'redshifts/nmad_bin_5': 0.03523377329111099, 'redshifts/outlier_fraction': 0.32715433835983276, 'redshifts/outlier_fraction_bin_0': 0.4898110330104828, 'redshifts/outlier_fraction_bin_1': 0.3559955358505249, 'redshifts/outlier_fraction_bin_2': 0.26151445508003235, 'redshifts/outlier_fraction_bin_3': 0.19637882709503174, 'redshifts/outlier_fraction_bin_4': 0.18639329075813293, 'redshifts/outlier_fraction_bin_5': 0.09328211843967438, 'redshifts/outlier_fraction_cata': 0.08896177262067795, 'redshifts/outlier_fraction_cata_bin_0': 0.1328485608100891, 'redshifts/outlier_fraction_cata_bin_1': 0.09912803769111633, 'redshifts/outlier_fraction_cata_bin_2': 0.08040593564510345, 'redshifts/outlier_fraction_cata_bin_3': 0.05487465113401413, 'redshifts/outlier_fraction_cata_bin_4': 0.057781919836997986, 'redshifts/outlier_fraction_cata_bin_5': 0.01693188026547432}\n", + "total num of pts: tensor([63189.])\n", + "total num of pts: tensor([22997., 15268., 6413., 3593., 2149., 12769.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 1002/1563 [1:36:31<52:55, 5.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.0045310258865356445, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010713315568864346, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 0.00017118453979492188, 'redshifts/mse': 0.3120780289173126, 'redshifts/mse_bin_0': 0.43819764256477356, 'redshifts/mse_bin_1': 0.36352407932281494, 'redshifts/mse_bin_2': 0.294086217880249, 'redshifts/mse_bin_3': 0.21498516201972961, 'redshifts/mse_bin_4': 0.22587959468364716, 'redshifts/mse_bin_5': 0.07428613305091858, 'redshifts/nmad': 0.11246073246002197, 'redshifts/nmad_bin_0': 0.2130860537290573, 'redshifts/nmad_bin_1': 0.13429631292819977, 'redshifts/nmad_bin_2': 0.0880451500415802, 'redshifts/nmad_bin_3': 0.07151085883378983, 'redshifts/nmad_bin_4': 0.06299927830696106, 'redshifts/nmad_bin_5': 0.035244982689619064, 'redshifts/outlier_fraction': 0.3271455466747284, 'redshifts/outlier_fraction_bin_0': 0.4898030161857605, 'redshifts/outlier_fraction_bin_1': 0.35603877902030945, 'redshifts/outlier_fraction_bin_2': 0.26134413480758667, 'redshifts/outlier_fraction_bin_3': 0.19621486961841583, 'redshifts/outlier_fraction_bin_4': 0.18659842014312744, 'redshifts/outlier_fraction_bin_5': 0.09319445490837097, 'redshifts/outlier_fraction_cata': 0.08898700773715973, 'redshifts/outlier_fraction_cata_bin_0': 0.13297386467456818, 'redshifts/outlier_fraction_cata_bin_1': 0.0990961492061615, 'redshifts/outlier_fraction_cata_bin_2': 0.08030562847852707, 'redshifts/outlier_fraction_cata_bin_3': 0.05482883378863335, 'redshifts/outlier_fraction_cata_bin_4': 0.05770125612616539, 'redshifts/outlier_fraction_cata_bin_5': 0.01691596768796444}\n", + "total num of pts: tensor([63241.])\n", + "total num of pts: tensor([23016., 15277., 6419., 3596., 2150., 12783.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 1003/1563 [1:36:37<53:51, 5.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07593366503715515, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004554621875286102, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 0.00017338991165161133, 'redshifts/mse': 0.3119843304157257, 'redshifts/mse_bin_0': 0.43800488114356995, 'redshifts/mse_bin_1': 0.36341485381126404, 'redshifts/mse_bin_2': 0.2945255935192108, 'redshifts/mse_bin_3': 0.21481771767139435, 'redshifts/mse_bin_4': 0.2257806807756424, 'redshifts/mse_bin_5': 0.07421822845935822, 'redshifts/nmad': 0.11244132369756699, 'redshifts/nmad_bin_0': 0.21299052238464355, 'redshifts/nmad_bin_1': 0.13429908454418182, 'redshifts/nmad_bin_2': 0.08805449306964874, 'redshifts/nmad_bin_3': 0.07150368392467499, 'redshifts/nmad_bin_4': 0.06299927830696106, 'redshifts/nmad_bin_5': 0.03524046763777733, 'redshifts/outlier_fraction': 0.3270663022994995, 'redshifts/outlier_fraction_bin_0': 0.4897462725639343, 'redshifts/outlier_fraction_bin_1': 0.355959951877594, 'redshifts/outlier_fraction_bin_2': 0.2614114284515381, 'redshifts/outlier_fraction_bin_3': 0.19605116546154022, 'redshifts/outlier_fraction_bin_4': 0.18651162087917328, 'redshifts/outlier_fraction_bin_5': 0.09309238940477371, 'redshifts/outlier_fraction_cata': 0.08896127343177795, 'redshifts/outlier_fraction_cata_bin_0': 0.1328640878200531, 'redshifts/outlier_fraction_cata_bin_1': 0.09910322725772858, 'redshifts/outlier_fraction_cata_bin_2': 0.08054213970899582, 'redshifts/outlier_fraction_cata_bin_3': 0.05478309094905853, 'redshifts/outlier_fraction_cata_bin_4': 0.05767441913485527, 'redshifts/outlier_fraction_cata_bin_5': 0.01689744181931019}\n", + "total num of pts: tensor([63293.])\n", + "total num of pts: tensor([23033., 15294., 6422., 3597., 2153., 12794.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 1004/1563 [1:36:43<55:17, 5.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07593994587659836, 'redshifts/bias_abs_bin_0': 0.14509372413158417, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004567128140479326, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01079467497766018, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.00587048614397645, 'redshifts/bias_bin_5': 0.00017118453979492188, 'redshifts/mse': 0.3119882345199585, 'redshifts/mse_bin_0': 0.4380923807621002, 'redshifts/mse_bin_1': 0.3632459044456482, 'redshifts/mse_bin_2': 0.2943883240222931, 'redshifts/mse_bin_3': 0.2147584706544876, 'redshifts/mse_bin_4': 0.22547176480293274, 'redshifts/mse_bin_5': 0.07442005723714828, 'redshifts/nmad': 0.11245030909776688, 'redshifts/nmad_bin_0': 0.2130064070224762, 'redshifts/nmad_bin_1': 0.13421542942523956, 'redshifts/nmad_bin_2': 0.08802053332328796, 'redshifts/nmad_bin_3': 0.07150368392467499, 'redshifts/nmad_bin_4': 0.06298913061618805, 'redshifts/nmad_bin_5': 0.03524373471736908, 'redshifts/outlier_fraction': 0.32714518904685974, 'redshifts/outlier_fraction_bin_0': 0.4898623824119568, 'redshifts/outlier_fraction_bin_1': 0.3560219705104828, 'redshifts/outlier_fraction_bin_2': 0.2612893283367157, 'redshifts/outlier_fraction_bin_3': 0.19599665701389313, 'redshifts/outlier_fraction_bin_4': 0.18625174462795258, 'redshifts/outlier_fraction_bin_5': 0.09332499653100967, 'redshifts/outlier_fraction_cata': 0.08898298442363739, 'redshifts/outlier_fraction_cata_bin_0': 0.1328962743282318, 'redshifts/outlier_fraction_cata_bin_1': 0.09905845671892166, 'redshifts/outlier_fraction_cata_bin_2': 0.08050451427698135, 'redshifts/outlier_fraction_cata_bin_3': 0.05476786196231842, 'redshifts/outlier_fraction_cata_bin_4': 0.05759405344724655, 'redshifts/outlier_fraction_cata_bin_5': 0.017039237543940544}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 1005/1563 [1:36:49<55:02, 5.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63353.])\n", + "total num of pts: tensor([23053., 15308., 6425., 3601., 2158., 12808.])\n", + "{'redshifts/bias_abs': 0.07592830806970596, 'redshifts/bias_abs_bin_0': 0.14509372413158417, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004568666219711304, 'redshifts/bias_bin_0': 0.02941272407770157, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 0.00017338991165161133, 'redshifts/mse': 0.3118325471878052, 'redshifts/mse_bin_0': 0.4379873275756836, 'redshifts/mse_bin_1': 0.36298757791519165, 'redshifts/mse_bin_2': 0.2942692041397095, 'redshifts/mse_bin_3': 0.2148464471101761, 'redshifts/mse_bin_4': 0.22496718168258667, 'redshifts/mse_bin_5': 0.07434246689081192, 'redshifts/nmad': 0.11240492761135101, 'redshifts/nmad_bin_0': 0.21289630234241486, 'redshifts/nmad_bin_1': 0.134208545088768, 'redshifts/nmad_bin_2': 0.08803287893533707, 'redshifts/nmad_bin_3': 0.0713614746928215, 'redshifts/nmad_bin_4': 0.06277401000261307, 'redshifts/nmad_bin_5': 0.03522229939699173, 'redshifts/outlier_fraction': 0.327056348323822, 'redshifts/outlier_fraction_bin_0': 0.48987117409706116, 'redshifts/outlier_fraction_bin_1': 0.3558923304080963, 'redshifts/outlier_fraction_bin_2': 0.2611673176288605, 'redshifts/outlier_fraction_bin_3': 0.19605664908885956, 'redshifts/outlier_fraction_bin_4': 0.18582020699977875, 'redshifts/outlier_fraction_bin_5': 0.09322298318147659, 'redshifts/outlier_fraction_cata': 0.08896184712648392, 'redshifts/outlier_fraction_cata_bin_0': 0.13291111588478088, 'redshifts/outlier_fraction_cata_bin_1': 0.09896785765886307, 'redshifts/outlier_fraction_cata_bin_2': 0.08046692609786987, 'redshifts/outlier_fraction_cata_bin_3': 0.05498472601175308, 'redshifts/outlier_fraction_cata_bin_4': 0.05746060982346535, 'redshifts/outlier_fraction_cata_bin_5': 0.017020612955093384}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 1006/1563 [1:36:54<51:09, 5.51s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63416.])\n", + "total num of pts: tensor([23079., 15325., 6431., 3603., 2158., 12820.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.14501963555812836, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04214584082365036, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004571482073515654, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 0.00017014109471347183, 'redshifts/mse': 0.3117235600948334, 'redshifts/mse_bin_0': 0.4377504587173462, 'redshifts/mse_bin_1': 0.3628939390182495, 'redshifts/mse_bin_2': 0.2940278947353363, 'redshifts/mse_bin_3': 0.21520784497261047, 'redshifts/mse_bin_4': 0.22496718168258667, 'redshifts/mse_bin_5': 0.07428339123725891, 'redshifts/nmad': 0.1124163269996643, 'redshifts/nmad_bin_0': 0.21284234523773193, 'redshifts/nmad_bin_1': 0.13409565389156342, 'redshifts/nmad_bin_2': 0.08804737776517868, 'redshifts/nmad_bin_3': 0.0713738352060318, 'redshifts/nmad_bin_4': 0.06277401000261307, 'redshifts/nmad_bin_5': 0.03521779179573059, 'redshifts/outlier_fraction': 0.32704681158065796, 'redshifts/outlier_fraction_bin_0': 0.4897525906562805, 'redshifts/outlier_fraction_bin_1': 0.35588908195495605, 'redshifts/outlier_fraction_bin_2': 0.26107916235923767, 'redshifts/outlier_fraction_bin_3': 0.1965029090642929, 'redshifts/outlier_fraction_bin_4': 0.18582020699977875, 'redshifts/outlier_fraction_bin_5': 0.09321372956037521, 'redshifts/outlier_fraction_cata': 0.08890500664710999, 'redshifts/outlier_fraction_cata_bin_0': 0.1328047215938568, 'redshifts/outlier_fraction_cata_bin_1': 0.09892332553863525, 'redshifts/outlier_fraction_cata_bin_2': 0.08039185404777527, 'redshifts/outlier_fraction_cata_bin_3': 0.054954204708337784, 'redshifts/outlier_fraction_cata_bin_4': 0.05746060982346535, 'redshifts/outlier_fraction_cata_bin_5': 0.017004679888486862}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 1007/1563 [1:36:58<47:55, 5.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63469.])\n", + "total num of pts: tensor([23096., 15343., 6437., 3606., 2161., 12826.])\n", + "{'redshifts/bias_abs': 0.07593146711587906, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004585772752761841, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010832765139639378, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 0.00017118453979492188, 'redshifts/mse': 0.311702698469162, 'redshifts/mse_bin_0': 0.4378555119037628, 'redshifts/mse_bin_1': 0.36264148354530334, 'redshifts/mse_bin_2': 0.293978750705719, 'redshifts/mse_bin_3': 0.21504321694374084, 'redshifts/mse_bin_4': 0.22519369423389435, 'redshifts/mse_bin_5': 0.07424949109554291, 'redshifts/nmad': 0.11240234225988388, 'redshifts/nmad_bin_0': 0.21280287206172943, 'redshifts/nmad_bin_1': 0.13409963250160217, 'redshifts/nmad_bin_2': 0.08805705606937408, 'redshifts/nmad_bin_3': 0.07150368392467499, 'redshifts/nmad_bin_4': 0.06292875111103058, 'redshifts/nmad_bin_5': 0.03521902859210968, 'redshifts/outlier_fraction': 0.32702580094337463, 'redshifts/outlier_fraction_bin_0': 0.48973849415779114, 'redshifts/outlier_fraction_bin_1': 0.3558626174926758, 'redshifts/outlier_fraction_bin_2': 0.2609911561012268, 'redshifts/outlier_fraction_bin_3': 0.1963394284248352, 'redshifts/outlier_fraction_bin_4': 0.1860249936580658, 'redshifts/outlier_fraction_bin_5': 0.09317012131214142, 'redshifts/outlier_fraction_cata': 0.08889379352331161, 'redshifts/outlier_fraction_cata_bin_0': 0.13279356062412262, 'redshifts/outlier_fraction_cata_bin_1': 0.09880727529525757, 'redshifts/outlier_fraction_cata_bin_2': 0.08047226816415787, 'redshifts/outlier_fraction_cata_bin_3': 0.05490848422050476, 'redshifts/outlier_fraction_cata_bin_4': 0.05784359201788902, 'redshifts/outlier_fraction_cata_bin_5': 0.016996724531054497}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 64%|██████▍ | 1008/1563 [1:37:03<46:25, 5.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63523.])\n", + "total num of pts: tensor([23119., 15352., 6443., 3611., 2164., 12834.])\n", + "{'redshifts/bias_abs': 0.07592830806970596, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004580764565616846, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 0.00017014109471347183, 'redshifts/mse': 0.3115895688533783, 'redshifts/mse_bin_0': 0.43763190507888794, 'redshifts/mse_bin_1': 0.36245930194854736, 'redshifts/mse_bin_2': 0.2937147617340088, 'redshifts/mse_bin_3': 0.2155815064907074, 'redshifts/mse_bin_4': 0.22536875307559967, 'redshifts/mse_bin_5': 0.07421401888132095, 'redshifts/nmad': 0.11240256577730179, 'redshifts/nmad_bin_0': 0.21294978260993958, 'redshifts/nmad_bin_1': 0.13407647609710693, 'redshifts/nmad_bin_2': 0.08803287893533707, 'redshifts/nmad_bin_3': 0.0713600292801857, 'redshifts/nmad_bin_4': 0.06292875111103058, 'redshifts/nmad_bin_5': 0.03521779179573059, 'redshifts/outlier_fraction': 0.3269996643066406, 'redshifts/outlier_fraction_bin_0': 0.48964056372642517, 'redshifts/outlier_fraction_bin_1': 0.35578426718711853, 'redshifts/outlier_fraction_bin_2': 0.26074808835983276, 'redshifts/outlier_fraction_bin_3': 0.19662143290042877, 'redshifts/outlier_fraction_bin_4': 0.18622919917106628, 'redshifts/outlier_fraction_bin_5': 0.09326788038015366, 'redshifts/outlier_fraction_cata': 0.08886545151472092, 'redshifts/outlier_fraction_cata_bin_0': 0.1327047049999237, 'redshifts/outlier_fraction_cata_bin_1': 0.09874934703111649, 'redshifts/outlier_fraction_cata_bin_2': 0.08039733022451401, 'redshifts/outlier_fraction_cata_bin_3': 0.05510938912630081, 'redshifts/outlier_fraction_cata_bin_4': 0.05822550877928734, 'redshifts/outlier_fraction_cata_bin_5': 0.01698612980544567}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▍ | 1009/1563 [1:37:08<47:05, 5.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63586.])\n", + "total num of pts: tensor([23136., 15371., 6452., 3615., 2165., 12847.])\n", + "{'redshifts/bias_abs': 0.07592260837554932, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004571482073515654, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.3115769028663635, 'redshifts/mse_bin_0': 0.437543123960495, 'redshifts/mse_bin_1': 0.36276426911354065, 'redshifts/mse_bin_2': 0.2934611439704895, 'redshifts/mse_bin_3': 0.21535781025886536, 'redshifts/mse_bin_4': 0.22527667880058289, 'redshifts/mse_bin_5': 0.074199378490448, 'redshifts/nmad': 0.11239899694919586, 'redshifts/nmad_bin_0': 0.21276479959487915, 'redshifts/nmad_bin_1': 0.13409775495529175, 'redshifts/nmad_bin_2': 0.08806627988815308, 'redshifts/nmad_bin_3': 0.0713614746928215, 'redshifts/nmad_bin_4': 0.06299927830696106, 'redshifts/nmad_bin_5': 0.035253703594207764, 'redshifts/outlier_fraction': 0.32700595259666443, 'redshifts/outlier_fraction_bin_0': 0.4894968867301941, 'redshifts/outlier_fraction_bin_1': 0.3559950590133667, 'redshifts/outlier_fraction_bin_2': 0.26100432872772217, 'redshifts/outlier_fraction_bin_3': 0.1964038759469986, 'redshifts/outlier_fraction_bin_4': 0.1861431896686554, 'redshifts/outlier_fraction_bin_5': 0.09332918375730515, 'redshifts/outlier_fraction_cata': 0.08887176215648651, 'redshifts/outlier_fraction_cata_bin_0': 0.13269363343715668, 'redshifts/outlier_fraction_cata_bin_1': 0.09888751804828644, 'redshifts/outlier_fraction_cata_bin_2': 0.08028518408536911, 'redshifts/outlier_fraction_cata_bin_3': 0.05504840984940529, 'redshifts/outlier_fraction_cata_bin_4': 0.05819861590862274, 'redshifts/outlier_fraction_cata_bin_5': 0.016968941316008568}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▍ | 1010/1563 [1:37:14<47:29, 5.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63644.])\n", + "total num of pts: tensor([23161., 15383., 6456., 3620., 2167., 12857.])\n", + "{'redshifts/bias_abs': 0.07593366503715515, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04217304289340973, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004571482073515654, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.31153371930122375, 'redshifts/mse_bin_0': 0.4374251663684845, 'redshifts/mse_bin_1': 0.36259695887565613, 'redshifts/mse_bin_2': 0.29330673813819885, 'redshifts/mse_bin_3': 0.21512572467327118, 'redshifts/mse_bin_4': 0.2250732183456421, 'redshifts/mse_bin_5': 0.0745241716504097, 'redshifts/nmad': 0.11244305223226547, 'redshifts/nmad_bin_0': 0.21274541318416595, 'redshifts/nmad_bin_1': 0.13415905833244324, 'redshifts/nmad_bin_2': 0.08806771785020828, 'redshifts/nmad_bin_3': 0.0713738352060318, 'redshifts/nmad_bin_4': 0.06292875111103058, 'redshifts/nmad_bin_5': 0.03523639217019081, 'redshifts/outlier_fraction': 0.32705360651016235, 'redshifts/outlier_fraction_bin_0': 0.4894866347312927, 'redshifts/outlier_fraction_bin_1': 0.3561073839664459, 'redshifts/outlier_fraction_bin_2': 0.2609975337982178, 'redshifts/outlier_fraction_bin_3': 0.19640883803367615, 'redshifts/outlier_fraction_bin_4': 0.18597139418125153, 'redshifts/outlier_fraction_bin_5': 0.09341214597225189, 'redshifts/outlier_fraction_cata': 0.08886933326721191, 'redshifts/outlier_fraction_cata_bin_0': 0.1327231079339981, 'redshifts/outlier_fraction_cata_bin_1': 0.09881037473678589, 'redshifts/outlier_fraction_cata_bin_2': 0.08023543655872345, 'redshifts/outlier_fraction_cata_bin_3': 0.05497237667441368, 'redshifts/outlier_fraction_cata_bin_4': 0.05814490094780922, 'redshifts/outlier_fraction_cata_bin_5': 0.017033522948622704}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▍ | 1011/1563 [1:37:20<51:27, 5.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63702.])\n", + "total num of pts: tensor([23183., 15402., 6459., 3622., 2171., 12865.])\n", + "{'redshifts/bias_abs': 0.07592260837554932, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004568666219711304, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.3114506006240845, 'redshifts/mse_bin_0': 0.43732839822769165, 'redshifts/mse_bin_1': 0.362478643655777, 'redshifts/mse_bin_2': 0.2932020127773285, 'redshifts/mse_bin_3': 0.2150244116783142, 'redshifts/mse_bin_4': 0.22467415034770966, 'redshifts/mse_bin_5': 0.07447993010282516, 'redshifts/nmad': 0.11242371052503586, 'redshifts/nmad_bin_0': 0.2125697135925293, 'redshifts/nmad_bin_1': 0.13415905833244324, 'redshifts/nmad_bin_2': 0.08809848129749298, 'redshifts/nmad_bin_3': 0.0713738352060318, 'redshifts/nmad_bin_4': 0.06299927830696106, 'redshifts/nmad_bin_5': 0.03524596989154816, 'redshifts/outlier_fraction': 0.3269912898540497, 'redshifts/outlier_fraction_bin_0': 0.48936721682548523, 'redshifts/outlier_fraction_bin_1': 0.35605764389038086, 'redshifts/outlier_fraction_bin_2': 0.2610311210155487, 'redshifts/outlier_fraction_bin_3': 0.19630038738250732, 'redshifts/outlier_fraction_bin_4': 0.185628741979599, 'redshifts/outlier_fraction_bin_5': 0.09335406124591827, 'redshifts/outlier_fraction_cata': 0.0888512134552002, 'redshifts/outlier_fraction_cata_bin_0': 0.13272656500339508, 'redshifts/outlier_fraction_cata_bin_1': 0.09875340759754181, 'redshifts/outlier_fraction_cata_bin_2': 0.08019817620515823, 'redshifts/outlier_fraction_cata_bin_3': 0.054942019283771515, 'redshifts/outlier_fraction_cata_bin_4': 0.05803776904940605, 'redshifts/outlier_fraction_cata_bin_5': 0.017022930085659027}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▍ | 1012/1563 [1:37:25<50:28, 5.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63766.])\n", + "total num of pts: tensor([23212., 15409., 6469., 3627., 2175., 12874.])\n", + "{'redshifts/bias_abs': 0.07588476687669754, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09103560447692871, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004571482073515654, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.00587048614397645, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.31150779128074646, 'redshifts/mse_bin_0': 0.43735092878341675, 'redshifts/mse_bin_1': 0.36261484026908875, 'redshifts/mse_bin_2': 0.2936120629310608, 'redshifts/mse_bin_3': 0.21474739909172058, 'redshifts/mse_bin_4': 0.22429043054580688, 'redshifts/mse_bin_5': 0.07442937046289444, 'redshifts/nmad': 0.11239899694919586, 'redshifts/nmad_bin_0': 0.21263542771339417, 'redshifts/nmad_bin_1': 0.1342005580663681, 'redshifts/nmad_bin_2': 0.08808411657810211, 'redshifts/nmad_bin_3': 0.07150368392467499, 'redshifts/nmad_bin_4': 0.06298913061618805, 'redshifts/nmad_bin_5': 0.03524066135287285, 'redshifts/outlier_fraction': 0.3269767463207245, 'redshifts/outlier_fraction_bin_0': 0.48931586742401123, 'redshifts/outlier_fraction_bin_1': 0.35622039437294006, 'redshifts/outlier_fraction_bin_2': 0.2607821822166443, 'redshifts/outlier_fraction_bin_3': 0.19630548357963562, 'redshifts/outlier_fraction_bin_4': 0.18528735637664795, 'redshifts/outlier_fraction_bin_5': 0.09328880161046982, 'redshifts/outlier_fraction_cata': 0.08884044736623764, 'redshifts/outlier_fraction_cata_bin_0': 0.13268998265266418, 'redshifts/outlier_fraction_cata_bin_1': 0.09877344220876694, 'redshifts/outlier_fraction_cata_bin_2': 0.0802287831902504, 'redshifts/outlier_fraction_cata_bin_3': 0.054866280406713486, 'redshifts/outlier_fraction_cata_bin_4': 0.05793103575706482, 'redshifts/outlier_fraction_cata_bin_5': 0.01701102964580059}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▍ | 1013/1563 [1:37:30<48:24, 5.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63816.])\n", + "total num of pts: tensor([23233., 15419., 6476., 3627., 2176., 12885.])\n", + "{'redshifts/bias_abs': 0.07586196810007095, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004567642696201801, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.00587048614397645, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.31139716506004333, 'redshifts/mse_bin_0': 0.4371933937072754, 'redshifts/mse_bin_1': 0.3624333441257477, 'redshifts/mse_bin_2': 0.2934719920158386, 'redshifts/mse_bin_3': 0.21474739909172058, 'redshifts/mse_bin_4': 0.2242022603750229, 'redshifts/mse_bin_5': 0.0744418129324913, 'redshifts/nmad': 0.11239055544137955, 'redshifts/nmad_bin_0': 0.21269208192825317, 'redshifts/nmad_bin_1': 0.13417863845825195, 'redshifts/nmad_bin_2': 0.08806771785020828, 'redshifts/nmad_bin_3': 0.07150368392467499, 'redshifts/nmad_bin_4': 0.06298913061618805, 'redshifts/nmad_bin_5': 0.035253703594207764, 'redshifts/outlier_fraction': 0.32697129249572754, 'redshifts/outlier_fraction_bin_0': 0.4892609715461731, 'redshifts/outlier_fraction_bin_1': 0.3561839163303375, 'redshifts/outlier_fraction_bin_2': 0.26080915331840515, 'redshifts/outlier_fraction_bin_3': 0.19630548357963562, 'redshifts/outlier_fraction_bin_4': 0.1852022111415863, 'redshifts/outlier_fraction_bin_5': 0.09336438030004501, 'redshifts/outlier_fraction_cata': 0.08878651261329651, 'redshifts/outlier_fraction_cata_bin_0': 0.13261309266090393, 'redshifts/outlier_fraction_cata_bin_1': 0.09870938211679459, 'redshifts/outlier_fraction_cata_bin_2': 0.0801420658826828, 'redshifts/outlier_fraction_cata_bin_3': 0.054866280406713486, 'redshifts/outlier_fraction_cata_bin_4': 0.05790441110730171, 'redshifts/outlier_fraction_cata_bin_5': 0.016996508464217186}\n", + "total num of pts: tensor([63872.])\n", + "total num of pts: tensor([23247., 15428., 6484., 3635., 2179., 12899.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▍ | 1014/1563 [1:37:35<46:29, 5.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07585663348436356, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.0045589483343064785, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.00587048614397645, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.3113935887813568, 'redshifts/mse_bin_0': 0.43735846877098083, 'redshifts/mse_bin_1': 0.3623042106628418, 'redshifts/mse_bin_2': 0.2937813401222229, 'redshifts/mse_bin_3': 0.2146383672952652, 'redshifts/mse_bin_4': 0.22396191954612732, 'redshifts/mse_bin_5': 0.07437307387590408, 'redshifts/nmad': 0.1123756468296051, 'redshifts/nmad_bin_0': 0.21267005801200867, 'redshifts/nmad_bin_1': 0.13419033586978912, 'redshifts/nmad_bin_2': 0.08802023530006409, 'redshifts/nmad_bin_3': 0.07150368392467499, 'redshifts/nmad_bin_4': 0.06309273838996887, 'redshifts/nmad_bin_5': 0.03527534380555153, 'redshifts/outlier_fraction': 0.3269351124763489, 'redshifts/outlier_fraction_bin_0': 0.48939648270606995, 'redshifts/outlier_fraction_bin_1': 0.3561705946922302, 'redshifts/outlier_fraction_bin_2': 0.26064157485961914, 'redshifts/outlier_fraction_bin_3': 0.1961485594511032, 'redshifts/outlier_fraction_bin_4': 0.1854061484336853, 'redshifts/outlier_fraction_bin_5': 0.09326304495334625, 'redshifts/outlier_fraction_cata': 0.08880260586738586, 'redshifts/outlier_fraction_cata_bin_0': 0.13270530104637146, 'redshifts/outlier_fraction_cata_bin_1': 0.09865180402994156, 'redshifts/outlier_fraction_cata_bin_2': 0.08019740879535675, 'redshifts/outlier_fraction_cata_bin_3': 0.05502063408493996, 'redshifts/outlier_fraction_cata_bin_4': 0.05782468989491463, 'redshifts/outlier_fraction_cata_bin_5': 0.016978060826659203}\n", + "total num of pts: tensor([63934.])\n", + "total num of pts: tensor([23269., 15445., 6490., 3639., 2181., 12910.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▍ | 1015/1563 [1:37:39<44:42, 4.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07585600763559341, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004554621875286102, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.00587048614397645, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.3113642632961273, 'redshifts/mse_bin_0': 0.43736740946769714, 'redshifts/mse_bin_1': 0.3622782230377197, 'redshifts/mse_bin_2': 0.29351329803466797, 'redshifts/mse_bin_3': 0.21443036198616028, 'redshifts/mse_bin_4': 0.2237682342529297, 'redshifts/mse_bin_5': 0.07444100826978683, 'redshifts/nmad': 0.11237400025129318, 'redshifts/nmad_bin_0': 0.21259407699108124, 'redshifts/nmad_bin_1': 0.13422054052352905, 'redshifts/nmad_bin_2': 0.08794926851987839, 'redshifts/nmad_bin_3': 0.07154488563537598, 'redshifts/nmad_bin_4': 0.06309273838996887, 'redshifts/nmad_bin_5': 0.03527534380555153, 'redshifts/outlier_fraction': 0.32691526412963867, 'redshifts/outlier_fraction_bin_0': 0.48936352133750916, 'redshifts/outlier_fraction_bin_1': 0.3562965393066406, 'redshifts/outlier_fraction_bin_2': 0.2604006230831146, 'redshifts/outlier_fraction_bin_3': 0.19593295454978943, 'redshifts/outlier_fraction_bin_4': 0.1852361261844635, 'redshifts/outlier_fraction_bin_5': 0.09326104074716568, 'redshifts/outlier_fraction_cata': 0.08884161710739136, 'redshifts/outlier_fraction_cata_bin_0': 0.13279470801353455, 'redshifts/outlier_fraction_cata_bin_1': 0.09867271035909653, 'redshifts/outlier_fraction_cata_bin_2': 0.08012326806783676, 'redshifts/outlier_fraction_cata_bin_3': 0.05496015399694443, 'redshifts/outlier_fraction_cata_bin_4': 0.05777166411280632, 'redshifts/outlier_fraction_cata_bin_5': 0.017041053622961044}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▌ | 1016/1563 [1:37:52<1:05:17, 7.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([63984.])\n", + "total num of pts: tensor([23284., 15462., 6494., 3642., 2183., 12919.])\n", + "{'redshifts/bias_abs': 0.07585663348436356, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004538059234619141, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.00587048614397645, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.31130707263946533, 'redshifts/mse_bin_0': 0.4372643828392029, 'redshifts/mse_bin_1': 0.3620513379573822, 'redshifts/mse_bin_2': 0.29334914684295654, 'redshifts/mse_bin_3': 0.21560466289520264, 'redshifts/mse_bin_4': 0.22357860207557678, 'redshifts/mse_bin_5': 0.07439185678958893, 'redshifts/nmad': 0.11238865554332733, 'redshifts/nmad_bin_0': 0.2126099318265915, 'redshifts/nmad_bin_1': 0.1342560052871704, 'redshifts/nmad_bin_2': 0.08794926851987839, 'redshifts/nmad_bin_3': 0.07154488563537598, 'redshifts/nmad_bin_4': 0.06309273838996887, 'redshifts/nmad_bin_5': 0.03528446704149246, 'redshifts/outlier_fraction': 0.3268473446369171, 'redshifts/outlier_fraction_bin_0': 0.4893059730529785, 'redshifts/outlier_fraction_bin_1': 0.35622817277908325, 'redshifts/outlier_fraction_bin_2': 0.26024022698402405, 'redshifts/outlier_fraction_bin_3': 0.1960461288690567, 'redshifts/outlier_fraction_bin_4': 0.18506641685962677, 'redshifts/outlier_fraction_bin_5': 0.09319606423377991, 'redshifts/outlier_fraction_cata': 0.08881907910108566, 'redshifts/outlier_fraction_cata_bin_0': 0.132795050740242, 'redshifts/outlier_fraction_cata_bin_1': 0.09856422245502472, 'redshifts/outlier_fraction_cata_bin_2': 0.08007391542196274, 'redshifts/outlier_fraction_cata_bin_3': 0.055189456790685654, 'redshifts/outlier_fraction_cata_bin_4': 0.05771873518824577, 'redshifts/outlier_fraction_cata_bin_5': 0.017029181122779846}\n", + "total num of pts: tensor([64043.])\n", + "total num of pts: tensor([23307., 15475., 6497., 3648., 2186., 12930.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▌ | 1017/1563 [1:37:56<57:19, 6.30s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07583561539649963, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004538869485259056, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010832765139639378, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': 0.00017014109471347183, 'redshifts/mse': 0.3111707270145416, 'redshifts/mse_bin_0': 0.43706420063972473, 'redshifts/mse_bin_1': 0.3620130717754364, 'redshifts/mse_bin_2': 0.2932155728340149, 'redshifts/mse_bin_3': 0.21526776254177094, 'redshifts/mse_bin_4': 0.22327275574207306, 'redshifts/mse_bin_5': 0.07433205842971802, 'redshifts/nmad': 0.11235065013170242, 'redshifts/nmad_bin_0': 0.21248281002044678, 'redshifts/nmad_bin_1': 0.13422255218029022, 'redshifts/nmad_bin_2': 0.08793030679225922, 'redshifts/nmad_bin_3': 0.07153407484292984, 'redshifts/nmad_bin_4': 0.06292875111103058, 'redshifts/nmad_bin_5': 0.035246528685092926, 'redshifts/outlier_fraction': 0.32671797275543213, 'redshifts/outlier_fraction_bin_0': 0.48916634917259216, 'redshifts/outlier_fraction_bin_1': 0.35612279176712036, 'redshifts/outlier_fraction_bin_2': 0.26012006402015686, 'redshifts/outlier_fraction_bin_3': 0.19572368264198303, 'redshifts/outlier_fraction_bin_4': 0.18481244146823883, 'redshifts/outlier_fraction_bin_5': 0.09311678260564804, 'redshifts/outlier_fraction_cata': 0.08876848220825195, 'redshifts/outlier_fraction_cata_bin_0': 0.1327069103717804, 'redshifts/outlier_fraction_cata_bin_1': 0.09854604303836823, 'redshifts/outlier_fraction_cata_bin_2': 0.0800369381904602, 'redshifts/outlier_fraction_cata_bin_3': 0.05509868264198303, 'redshifts/outlier_fraction_cata_bin_4': 0.05763952434062958, 'redshifts/outlier_fraction_cata_bin_5': 0.017014695331454277}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▌ | 1018/1563 [1:38:00<51:54, 5.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64100.])\n", + "total num of pts: tensor([23323., 15494., 6504., 3650., 2188., 12941.])\n", + "{'redshifts/bias_abs': 0.07582593709230423, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04222343489527702, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004531383514404297, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.01081590261310339, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.0059944940730929375, 'redshifts/bias_bin_5': 0.00017338991165161133, 'redshifts/mse': 0.31136444211006165, 'redshifts/mse_bin_0': 0.4376486539840698, 'redshifts/mse_bin_1': 0.36199966073036194, 'redshifts/mse_bin_2': 0.2931743264198303, 'redshifts/mse_bin_3': 0.21519532799720764, 'redshifts/mse_bin_4': 0.22312600910663605, 'redshifts/mse_bin_5': 0.07432973384857178, 'redshifts/nmad': 0.11233477294445038, 'redshifts/nmad_bin_0': 0.2126099318265915, 'redshifts/nmad_bin_1': 0.13418395817279816, 'redshifts/nmad_bin_2': 0.08789168298244476, 'redshifts/nmad_bin_3': 0.07152232527732849, 'redshifts/nmad_bin_4': 0.06293917447328568, 'redshifts/nmad_bin_5': 0.03526408225297928, 'redshifts/outlier_fraction': 0.3267862796783447, 'redshifts/outlier_fraction_bin_0': 0.489302396774292, 'redshifts/outlier_fraction_bin_1': 0.35613787174224854, 'redshifts/outlier_fraction_bin_2': 0.2601476013660431, 'redshifts/outlier_fraction_bin_3': 0.195890411734581, 'redshifts/outlier_fraction_bin_4': 0.18510055541992188, 'redshifts/outlier_fraction_bin_5': 0.09311490505933762, 'redshifts/outlier_fraction_cata': 0.08886115252971649, 'redshifts/outlier_fraction_cata_bin_0': 0.13291600346565247, 'redshifts/outlier_fraction_cata_bin_1': 0.09861882030963898, 'redshifts/outlier_fraction_cata_bin_2': 0.08010455220937729, 'redshifts/outlier_fraction_cata_bin_3': 0.0550684928894043, 'redshifts/outlier_fraction_cata_bin_4': 0.05758683755993843, 'redshifts/outlier_fraction_cata_bin_5': 0.0170002318918705}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▌ | 1019/1563 [1:38:05<49:18, 5.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64158.])\n", + "total num of pts: tensor([23344., 15510., 6511., 3653., 2191., 12949.])\n", + "{'redshifts/bias_abs': 0.07585600763559341, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004531309008598328, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 0.00017118453979492188, 'redshifts/mse': 0.31145453453063965, 'redshifts/mse_bin_0': 0.43758633732795715, 'redshifts/mse_bin_1': 0.3619678020477295, 'redshifts/mse_bin_2': 0.29409492015838623, 'redshifts/mse_bin_3': 0.21512264013290405, 'redshifts/mse_bin_4': 0.2236948162317276, 'redshifts/mse_bin_5': 0.07431938499212265, 'redshifts/nmad': 0.11236832290887833, 'redshifts/nmad_bin_0': 0.2125711441040039, 'redshifts/nmad_bin_1': 0.134208545088768, 'redshifts/nmad_bin_2': 0.08790361881256104, 'redshifts/nmad_bin_3': 0.07155663520097733, 'redshifts/nmad_bin_4': 0.06296194344758987, 'redshifts/nmad_bin_5': 0.03526081144809723, 'redshifts/outlier_fraction': 0.32686492800712585, 'redshifts/outlier_fraction_bin_0': 0.48929062485694885, 'redshifts/outlier_fraction_bin_1': 0.3562217950820923, 'redshifts/outlier_fraction_bin_2': 0.2603286802768707, 'redshifts/outlier_fraction_bin_3': 0.19627703726291656, 'redshifts/outlier_fraction_bin_4': 0.18530350923538208, 'redshifts/outlier_fraction_bin_5': 0.09313460439443588, 'redshifts/outlier_fraction_cata': 0.08890551328659058, 'redshifts/outlier_fraction_cata_bin_0': 0.1329677850008011, 'redshifts/outlier_fraction_cata_bin_1': 0.09864603728055954, 'redshifts/outlier_fraction_cata_bin_2': 0.08017201721668243, 'redshifts/outlier_fraction_cata_bin_3': 0.05502326786518097, 'redshifts/outlier_fraction_cata_bin_4': 0.057964399456977844, 'redshifts/outlier_fraction_cata_bin_5': 0.016989728435873985}\n", + "total num of pts: tensor([64207.])\n", + "total num of pts: tensor([23365., 15521., 6518., 3658., 2191., 12954.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▌ | 1020/1563 [1:38:10<46:23, 5.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07588476687669754, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004531309008598328, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 0.00017118453979492188, 'redshifts/mse': 0.31169986724853516, 'redshifts/mse_bin_0': 0.4375964105129242, 'redshifts/mse_bin_1': 0.36305123567581177, 'redshifts/mse_bin_2': 0.2938007116317749, 'redshifts/mse_bin_3': 0.21497927606105804, 'redshifts/mse_bin_4': 0.2236948162317276, 'redshifts/mse_bin_5': 0.07429790496826172, 'redshifts/nmad': 0.1123971939086914, 'redshifts/nmad_bin_0': 0.21269649267196655, 'redshifts/nmad_bin_1': 0.1342121660709381, 'redshifts/nmad_bin_2': 0.08794926851987839, 'redshifts/nmad_bin_3': 0.07152232527732849, 'redshifts/nmad_bin_4': 0.06296194344758987, 'redshifts/nmad_bin_5': 0.035257063806056976, 'redshifts/outlier_fraction': 0.32697370648384094, 'redshifts/outlier_fraction_bin_0': 0.4895356297492981, 'redshifts/outlier_fraction_bin_1': 0.3562270402908325, 'redshifts/outlier_fraction_bin_2': 0.26004910469055176, 'redshifts/outlier_fraction_bin_3': 0.196555495262146, 'redshifts/outlier_fraction_bin_4': 0.18530350923538208, 'redshifts/outlier_fraction_bin_5': 0.09317585080862045, 'redshifts/outlier_fraction_cata': 0.08891554176807404, 'redshifts/outlier_fraction_cata_bin_0': 0.1329766809940338, 'redshifts/outlier_fraction_cata_bin_1': 0.0987049788236618, 'redshifts/outlier_fraction_cata_bin_2': 0.08008591830730438, 'redshifts/outlier_fraction_cata_bin_3': 0.05494805797934532, 'redshifts/outlier_fraction_cata_bin_4': 0.057964399456977844, 'redshifts/outlier_fraction_cata_bin_5': 0.016983171924948692}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▌ | 1021/1563 [1:38:14<44:43, 4.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64252.])\n", + "total num of pts: tensor([23382., 15531., 6526., 3660., 2192., 12961.])\n", + "{'redshifts/bias_abs': 0.07588476687669754, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004531309008598328, 'redshifts/bias_bin_0': 0.029136130586266518, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 0.00017907973960973322, 'redshifts/mse': 0.31174856424331665, 'redshifts/mse_bin_0': 0.4376630485057831, 'redshifts/mse_bin_1': 0.362921804189682, 'redshifts/mse_bin_2': 0.2934873104095459, 'redshifts/mse_bin_3': 0.2148621678352356, 'redshifts/mse_bin_4': 0.2260155975818634, 'redshifts/mse_bin_5': 0.07432904839515686, 'redshifts/nmad': 0.1124207153916359, 'redshifts/nmad_bin_0': 0.21269549429416656, 'redshifts/nmad_bin_1': 0.13420569896697998, 'redshifts/nmad_bin_2': 0.08796362578868866, 'redshifts/nmad_bin_3': 0.07151085883378983, 'redshifts/nmad_bin_4': 0.06292468309402466, 'redshifts/nmad_bin_5': 0.03527062386274338, 'redshifts/outlier_fraction': 0.3269314467906952, 'redshifts/outlier_fraction_bin_0': 0.48947909474372864, 'redshifts/outlier_fraction_bin_1': 0.35619083046913147, 'redshifts/outlier_fraction_bin_2': 0.2597303092479706, 'redshifts/outlier_fraction_bin_3': 0.19644808769226074, 'redshifts/outlier_fraction_bin_4': 0.18567518889904022, 'redshifts/outlier_fraction_bin_5': 0.09320268779993057, 'redshifts/outlier_fraction_cata': 0.08891551941633224, 'redshifts/outlier_fraction_cata_bin_0': 0.13300830125808716, 'redshifts/outlier_fraction_cata_bin_1': 0.09864142537117004, 'redshifts/outlier_fraction_cata_bin_2': 0.07998774200677872, 'redshifts/outlier_fraction_cata_bin_3': 0.05491803213953972, 'redshifts/outlier_fraction_cata_bin_4': 0.058394160121679306, 'redshifts/outlier_fraction_cata_bin_5': 0.01697399839758873}\n", + "total num of pts: tensor([64316.])\n", + "total num of pts: tensor([23415., 15548., 6529., 3663., 2192., 12969.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▌ | 1022/1563 [1:38:19<44:09, 4.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07592830806970596, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04233204573392868, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.00454575615003705, 'redshifts/bias_bin_0': 0.029136130586266518, 'redshifts/bias_bin_1': 0.010832765139639378, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 0.00019935096497647464, 'redshifts/mse': 0.3118271231651306, 'redshifts/mse_bin_0': 0.43789568543434143, 'redshifts/mse_bin_1': 0.3628219664096832, 'redshifts/mse_bin_2': 0.2934143543243408, 'redshifts/mse_bin_3': 0.21469801664352417, 'redshifts/mse_bin_4': 0.2260155975818634, 'redshifts/mse_bin_5': 0.07428666949272156, 'redshifts/nmad': 0.11245447397232056, 'redshifts/nmad_bin_0': 0.21277585625648499, 'redshifts/nmad_bin_1': 0.13419143855571747, 'redshifts/nmad_bin_2': 0.08794926851987839, 'redshifts/nmad_bin_3': 0.07151085883378983, 'redshifts/nmad_bin_4': 0.06292468309402466, 'redshifts/nmad_bin_5': 0.03524898737668991, 'redshifts/outlier_fraction': 0.3269948363304138, 'redshifts/outlier_fraction_bin_0': 0.48955798149108887, 'redshifts/outlier_fraction_bin_1': 0.35618728399276733, 'redshifts/outlier_fraction_bin_2': 0.2597641348838806, 'redshifts/outlier_fraction_bin_3': 0.19628719985485077, 'redshifts/outlier_fraction_bin_4': 0.18567518889904022, 'redshifts/outlier_fraction_bin_5': 0.09314519166946411, 'redshifts/outlier_fraction_cata': 0.08898252248764038, 'redshifts/outlier_fraction_cata_bin_0': 0.1331624984741211, 'redshifts/outlier_fraction_cata_bin_1': 0.09866220504045486, 'redshifts/outlier_fraction_cata_bin_2': 0.07995098829269409, 'redshifts/outlier_fraction_cata_bin_3': 0.05487305670976639, 'redshifts/outlier_fraction_cata_bin_4': 0.058394160121679306, 'redshifts/outlier_fraction_cata_bin_5': 0.016963528469204903}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 65%|██████▌ | 1023/1563 [1:38:26<50:33, 5.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64374.])\n", + "total num of pts: tensor([23439., 15566., 6532., 3665., 2193., 12979.])\n", + "{'redshifts/bias_abs': 0.07592830806970596, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004554629325866699, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.010832765139639378, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 0.00019935096497647464, 'redshifts/mse': 0.31181657314300537, 'redshifts/mse_bin_0': 0.4379424750804901, 'redshifts/mse_bin_1': 0.36273398995399475, 'redshifts/mse_bin_2': 0.293295294046402, 'redshifts/mse_bin_3': 0.2146613448858261, 'redshifts/mse_bin_4': 0.22593151032924652, 'redshifts/mse_bin_5': 0.07424511015415192, 'redshifts/nmad': 0.11244429647922516, 'redshifts/nmad_bin_0': 0.21267445385456085, 'redshifts/nmad_bin_1': 0.13419143855571747, 'redshifts/nmad_bin_2': 0.08794465661048889, 'redshifts/nmad_bin_3': 0.07151085883378983, 'redshifts/nmad_bin_4': 0.06296710669994354, 'redshifts/nmad_bin_5': 0.03524806350469589, 'redshifts/outlier_fraction': 0.3269798457622528, 'redshifts/outlier_fraction_bin_0': 0.4894406795501709, 'redshifts/outlier_fraction_bin_1': 0.3562251031398773, 'redshifts/outlier_fraction_bin_2': 0.25964483618736267, 'redshifts/outlier_fraction_bin_3': 0.19645293056964874, 'redshifts/outlier_fraction_bin_4': 0.18559052050113678, 'redshifts/outlier_fraction_bin_5': 0.09315047413110733, 'redshifts/outlier_fraction_cata': 0.08898002654314041, 'redshifts/outlier_fraction_cata_bin_0': 0.13319681584835052, 'redshifts/outlier_fraction_cata_bin_1': 0.09861236065626144, 'redshifts/outlier_fraction_cata_bin_2': 0.07991427183151245, 'redshifts/outlier_fraction_cata_bin_3': 0.05484310910105705, 'redshifts/outlier_fraction_cata_bin_4': 0.0583675317466259, 'redshifts/outlier_fraction_cata_bin_5': 0.01695045828819275}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1024/1563 [1:38:32<52:25, 5.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64430.])\n", + "total num of pts: tensor([23463., 15581., 6538., 3669., 2195., 12984.])\n", + "{'redshifts/bias_abs': 0.07593146711587906, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004538869485259056, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010832765139639378, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 0.00019935096497647464, 'redshifts/mse': 0.3118111491203308, 'redshifts/mse_bin_0': 0.43791329860687256, 'redshifts/mse_bin_1': 0.3626379370689392, 'redshifts/mse_bin_2': 0.2931942343711853, 'redshifts/mse_bin_3': 0.2149832844734192, 'redshifts/mse_bin_4': 0.2257944941520691, 'redshifts/mse_bin_5': 0.07422074675559998, 'redshifts/nmad': 0.1124572902917862, 'redshifts/nmad_bin_0': 0.21268408000469208, 'redshifts/nmad_bin_1': 0.13419143855571747, 'redshifts/nmad_bin_2': 0.08795516192913055, 'redshifts/nmad_bin_3': 0.07150368392467499, 'redshifts/nmad_bin_4': 0.0630141869187355, 'redshifts/nmad_bin_5': 0.03524056822061539, 'redshifts/outlier_fraction': 0.32699054479599, 'redshifts/outlier_fraction_bin_0': 0.4892809987068176, 'redshifts/outlier_fraction_bin_1': 0.3562672436237335, 'redshifts/outlier_fraction_bin_2': 0.2595595121383667, 'redshifts/outlier_fraction_bin_3': 0.1967838704586029, 'redshifts/outlier_fraction_bin_4': 0.1858769953250885, 'redshifts/outlier_fraction_bin_5': 0.09319162368774414, 'redshifts/outlier_fraction_cata': 0.0889802873134613, 'redshifts/outlier_fraction_cata_bin_0': 0.1331884264945984, 'redshifts/outlier_fraction_cata_bin_1': 0.09858160465955734, 'redshifts/outlier_fraction_cata_bin_2': 0.07984092831611633, 'redshifts/outlier_fraction_cata_bin_3': 0.055055875331163406, 'redshifts/outlier_fraction_cata_bin_4': 0.05831434950232506, 'redshifts/outlier_fraction_cata_bin_5': 0.016943931579589844}\n", + "total num of pts: tensor([64493.])\n", + "total num of pts: tensor([23486., 15595., 6545., 3673., 2196., 12998.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1025/1563 [1:38:40<55:35, 6.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07593146711587906, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.0591452457010746, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004554621875286102, 'redshifts/bias_bin_0': 0.029136130586266518, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.3117237687110901, 'redshifts/mse_bin_0': 0.43798694014549255, 'redshifts/mse_bin_1': 0.3624059557914734, 'redshifts/mse_bin_2': 0.29291409254074097, 'redshifts/mse_bin_3': 0.2147580236196518, 'redshifts/mse_bin_4': 0.22585812211036682, 'redshifts/mse_bin_5': 0.07415110617876053, 'redshifts/nmad': 0.11247183382511139, 'redshifts/nmad_bin_0': 0.21263009309768677, 'redshifts/nmad_bin_1': 0.13420569896697998, 'redshifts/nmad_bin_2': 0.08797799050807953, 'redshifts/nmad_bin_3': 0.07150368392467499, 'redshifts/nmad_bin_4': 0.06310556083917618, 'redshifts/nmad_bin_5': 0.03522687777876854, 'redshifts/outlier_fraction': 0.32693469524383545, 'redshifts/outlier_fraction_bin_0': 0.4893127679824829, 'redshifts/outlier_fraction_bin_1': 0.35613977909088135, 'redshifts/outlier_fraction_bin_2': 0.2592819035053253, 'redshifts/outlier_fraction_bin_3': 0.196569561958313, 'redshifts/outlier_fraction_bin_4': 0.18624772131443024, 'redshifts/outlier_fraction_bin_5': 0.09316817671060562, 'redshifts/outlier_fraction_cata': 0.08897089958190918, 'redshifts/outlier_fraction_cata_bin_0': 0.13327088952064514, 'redshifts/outlier_fraction_cata_bin_1': 0.09849310666322708, 'redshifts/outlier_fraction_cata_bin_2': 0.07975553721189499, 'redshifts/outlier_fraction_cata_bin_3': 0.05499591678380966, 'redshifts/outlier_fraction_cata_bin_4': 0.05828779563307762, 'redshifts/outlier_fraction_cata_bin_5': 0.01692568138241768}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1026/1563 [1:38:46<55:48, 6.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64560.])\n", + "total num of pts: tensor([23505., 15612., 6549., 3677., 2200., 13017.])\n", + "{'redshifts/bias_abs': 0.07593146711587906, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.0591452457010746, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04243974760174751, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.0045589483343064785, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 0.00023587510804645717, 'redshifts/mse': 0.3118235468864441, 'redshifts/mse_bin_0': 0.4380300045013428, 'redshifts/mse_bin_1': 0.36243000626564026, 'redshifts/mse_bin_2': 0.2930159866809845, 'redshifts/mse_bin_3': 0.2147037535905838, 'redshifts/mse_bin_4': 0.22939084470272064, 'redshifts/mse_bin_5': 0.07406456023454666, 'redshifts/nmad': 0.11247318238019943, 'redshifts/nmad_bin_0': 0.21266420185565948, 'redshifts/nmad_bin_1': 0.13424192368984222, 'redshifts/nmad_bin_2': 0.08796952664852142, 'redshifts/nmad_bin_3': 0.0713738352060318, 'redshifts/nmad_bin_4': 0.06327623128890991, 'redshifts/nmad_bin_5': 0.035216670483350754, 'redshifts/outlier_fraction': 0.32695168256759644, 'redshifts/outlier_fraction_bin_0': 0.4893001616001129, 'redshifts/outlier_fraction_bin_1': 0.35632845759391785, 'redshifts/outlier_fraction_bin_2': 0.25927621126174927, 'redshifts/outlier_fraction_bin_3': 0.1966276913881302, 'redshifts/outlier_fraction_bin_4': 0.1868181824684143, 'redshifts/outlier_fraction_bin_5': 0.09310901165008545, 'redshifts/outlier_fraction_cata': 0.08898698538541794, 'redshifts/outlier_fraction_cata_bin_0': 0.13329078257083893, 'redshifts/outlier_fraction_cata_bin_1': 0.09851396083831787, 'redshifts/outlier_fraction_cata_bin_2': 0.07985951751470566, 'redshifts/outlier_fraction_cata_bin_3': 0.054936088621616364, 'redshifts/outlier_fraction_cata_bin_4': 0.058636363595724106, 'redshifts/outlier_fraction_cata_bin_5': 0.01690097525715828}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1027/1563 [1:38:50<50:20, 5.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64622.])\n", + "total num of pts: tensor([23528., 15625., 6557., 3680., 2201., 13031.])\n", + "{'redshifts/bias_abs': 0.0759318396449089, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04254741594195366, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004567444324493408, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010792608372867107, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 0.00024276670592371374, 'redshifts/mse': 0.31173384189605713, 'redshifts/mse_bin_0': 0.4378892779350281, 'redshifts/mse_bin_1': 0.3622020184993744, 'redshifts/mse_bin_2': 0.29322102665901184, 'redshifts/mse_bin_3': 0.21454691886901855, 'redshifts/mse_bin_4': 0.23008455336093903, 'redshifts/mse_bin_5': 0.07399360090494156, 'redshifts/nmad': 0.11246882379055023, 'redshifts/nmad_bin_0': 0.21261674165725708, 'redshifts/nmad_bin_1': 0.13419948518276215, 'redshifts/nmad_bin_2': 0.08802023530006409, 'redshifts/nmad_bin_3': 0.0713738352060318, 'redshifts/nmad_bin_4': 0.06324800103902817, 'redshifts/nmad_bin_5': 0.0351986438035965, 'redshifts/outlier_fraction': 0.32693201303482056, 'redshifts/outlier_fraction_bin_0': 0.48924684524536133, 'redshifts/outlier_fraction_bin_1': 0.356224000453949, 'redshifts/outlier_fraction_bin_2': 0.25972244143486023, 'redshifts/outlier_fraction_bin_3': 0.19646738469600677, 'redshifts/outlier_fraction_bin_4': 0.18718764185905457, 'redshifts/outlier_fraction_bin_5': 0.09300898015499115, 'redshifts/outlier_fraction_cata': 0.08896350860595703, 'redshifts/outlier_fraction_cata_bin_0': 0.13324549794197083, 'redshifts/outlier_fraction_cata_bin_1': 0.09843199700117111, 'redshifts/outlier_fraction_cata_bin_2': 0.07991459220647812, 'redshifts/outlier_fraction_cata_bin_3': 0.054891303181648254, 'redshifts/outlier_fraction_cata_bin_4': 0.05906406044960022, 'redshifts/outlier_fraction_cata_bin_5': 0.016882818192243576}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1028/1563 [1:38:56<51:26, 5.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64681.])\n", + "total num of pts: tensor([23550., 15643., 6565., 3680., 2202., 13041.])\n", + "{'redshifts/bias_abs': 0.07593994587659836, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09084222465753555, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04254741594195366, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004574134014546871, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 0.00024276670592371374, 'redshifts/mse': 0.31194835901260376, 'redshifts/mse_bin_0': 0.43812820315361023, 'redshifts/mse_bin_1': 0.362516313791275, 'redshifts/mse_bin_2': 0.29340603947639465, 'redshifts/mse_bin_3': 0.21454691886901855, 'redshifts/mse_bin_4': 0.23061326146125793, 'redshifts/mse_bin_5': 0.07398398220539093, 'redshifts/nmad': 0.11246917396783829, 'redshifts/nmad_bin_0': 0.21256248652935028, 'redshifts/nmad_bin_1': 0.13424186408519745, 'redshifts/nmad_bin_2': 0.08802023530006409, 'redshifts/nmad_bin_3': 0.0713738352060318, 'redshifts/nmad_bin_4': 0.06328706443309784, 'redshifts/nmad_bin_5': 0.0351986438035965, 'redshifts/outlier_fraction': 0.32698938250541687, 'redshifts/outlier_fraction_bin_0': 0.489256888628006, 'redshifts/outlier_fraction_bin_1': 0.35619765520095825, 'redshifts/outlier_fraction_bin_2': 0.2597105801105499, 'redshifts/outlier_fraction_bin_3': 0.19646738469600677, 'redshifts/outlier_fraction_bin_4': 0.18755677342414856, 'redshifts/outlier_fraction_bin_5': 0.09316769987344742, 'redshifts/outlier_fraction_cata': 0.08900604397058487, 'redshifts/outlier_fraction_cata_bin_0': 0.1332908719778061, 'redshifts/outlier_fraction_cata_bin_1': 0.09844659268856049, 'redshifts/outlier_fraction_cata_bin_2': 0.07996953278779984, 'redshifts/outlier_fraction_cata_bin_3': 0.054891303181648254, 'redshifts/outlier_fraction_cata_bin_4': 0.059491369873285294, 'redshifts/outlier_fraction_cata_bin_5': 0.01686987280845642}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1029/1563 [1:39:03<55:11, 6.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([64747.])\n", + "total num of pts: tensor([23578., 15667., 6567., 3681., 2204., 13050.])\n", + "{'redshifts/bias_abs': 0.07594291120767593, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.042556729167699814, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004582141060382128, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.01079730223864317, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.0002425141865387559, 'redshifts/mse': 0.311776727437973, 'redshifts/mse_bin_0': 0.43790748715400696, 'redshifts/mse_bin_1': 0.3620929718017578, 'redshifts/mse_bin_2': 0.29331713914871216, 'redshifts/mse_bin_3': 0.21448947489261627, 'redshifts/mse_bin_4': 0.23050740361213684, 'redshifts/mse_bin_5': 0.07394123077392578, 'redshifts/nmad': 0.11249608546495438, 'redshifts/nmad_bin_0': 0.2124488651752472, 'redshifts/nmad_bin_1': 0.13418428599834442, 'redshifts/nmad_bin_2': 0.0879967138171196, 'redshifts/nmad_bin_3': 0.0713738352060318, 'redshifts/nmad_bin_4': 0.06333950906991959, 'redshifts/nmad_bin_5': 0.03519901633262634, 'redshifts/outlier_fraction': 0.32694950699806213, 'redshifts/outlier_fraction_bin_0': 0.4892272353172302, 'redshifts/outlier_fraction_bin_1': 0.3559073209762573, 'redshifts/outlier_fraction_bin_2': 0.259631484746933, 'redshifts/outlier_fraction_bin_3': 0.1964140236377716, 'redshifts/outlier_fraction_bin_4': 0.1878402978181839, 'redshifts/outlier_fraction_bin_5': 0.09318007528781891, 'redshifts/outlier_fraction_cata': 0.0889616534113884, 'redshifts/outlier_fraction_cata_bin_0': 0.1332598179578781, 'redshifts/outlier_fraction_cata_bin_1': 0.09829577803611755, 'redshifts/outlier_fraction_cata_bin_2': 0.07994517683982849, 'redshifts/outlier_fraction_cata_bin_3': 0.05487639084458351, 'redshifts/outlier_fraction_cata_bin_4': 0.05943738669157028, 'redshifts/outlier_fraction_cata_bin_5': 0.016858236864209175}\n", + "total num of pts: tensor([64807.])\n", + "total num of pts: tensor([23603., 15680., 6572., 3687., 2205., 13060.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1030/1563 [1:39:12<1:00:12, 6.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.042556729167699814, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004585661459714174, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.01081590261310339, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00024276670592371374, 'redshifts/mse': 0.3117024600505829, 'redshifts/mse_bin_0': 0.4377366602420807, 'redshifts/mse_bin_1': 0.36192429065704346, 'redshifts/mse_bin_2': 0.2937031388282776, 'redshifts/mse_bin_3': 0.21431270241737366, 'redshifts/mse_bin_4': 0.23040349781513214, 'redshifts/mse_bin_5': 0.07390588521957397, 'redshifts/nmad': 0.11251092702150345, 'redshifts/nmad_bin_0': 0.2125716358423233, 'redshifts/nmad_bin_1': 0.13408587872982025, 'redshifts/nmad_bin_2': 0.08801545202732086, 'redshifts/nmad_bin_3': 0.0713614746928215, 'redshifts/nmad_bin_4': 0.06333950906991959, 'redshifts/nmad_bin_5': 0.03519369289278984, 'redshifts/outlier_fraction': 0.3270017206668854, 'redshifts/outlier_fraction_bin_0': 0.48930221796035767, 'redshifts/outlier_fraction_bin_1': 0.3558673560619354, 'redshifts/outlier_fraction_bin_2': 0.2597382962703705, 'redshifts/outlier_fraction_bin_3': 0.19663682579994202, 'redshifts/outlier_fraction_bin_4': 0.18775510787963867, 'redshifts/outlier_fraction_bin_5': 0.09318529814481735, 'redshifts/outlier_fraction_cata': 0.08891014754772186, 'redshifts/outlier_fraction_cata_bin_0': 0.1331610381603241, 'redshifts/outlier_fraction_cata_bin_1': 0.0982142835855484, 'redshifts/outlier_fraction_cata_bin_2': 0.08003652095794678, 'redshifts/outlier_fraction_cata_bin_3': 0.05478708818554878, 'redshifts/outlier_fraction_cata_bin_4': 0.05941043049097061, 'redshifts/outlier_fraction_cata_bin_5': 0.016845328733325005}\n", + "total num of pts: tensor([64878.])\n", + "total num of pts: tensor([23626., 15703., 6580., 3691., 2210., 13068.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1031/1563 [1:39:19<1:02:24, 7.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07594291120767593, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004585772752761841, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.01081590261310339, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.0002479220274835825, 'redshifts/mse': 0.31171470880508423, 'redshifts/mse_bin_0': 0.43761804699897766, 'redshifts/mse_bin_1': 0.36210280656814575, 'redshifts/mse_bin_2': 0.2939859926700592, 'redshifts/mse_bin_3': 0.21412032842636108, 'redshifts/mse_bin_4': 0.22988414764404297, 'redshifts/mse_bin_5': 0.07387372106313705, 'redshifts/nmad': 0.11250146478414536, 'redshifts/nmad_bin_0': 0.21250757575035095, 'redshifts/nmad_bin_1': 0.1341567039489746, 'redshifts/nmad_bin_2': 0.08800148963928223, 'redshifts/nmad_bin_3': 0.0713646337389946, 'redshifts/nmad_bin_4': 0.06317364424467087, 'redshifts/nmad_bin_5': 0.03519865497946739, 'redshifts/outlier_fraction': 0.3270600140094757, 'redshifts/outlier_fraction_bin_0': 0.48933377861976624, 'redshifts/outlier_fraction_bin_1': 0.3559829294681549, 'redshifts/outlier_fraction_bin_2': 0.2598784267902374, 'redshifts/outlier_fraction_bin_3': 0.19669465720653534, 'redshifts/outlier_fraction_bin_4': 0.18733032047748566, 'redshifts/outlier_fraction_bin_5': 0.09320477396249771, 'redshifts/outlier_fraction_cata': 0.08890532702207565, 'redshifts/outlier_fraction_cata_bin_0': 0.13311605155467987, 'redshifts/outlier_fraction_cata_bin_1': 0.09826147556304932, 'redshifts/outlier_fraction_cata_bin_2': 0.08009118586778641, 'redshifts/outlier_fraction_cata_bin_3': 0.054727714508771896, 'redshifts/outlier_fraction_cata_bin_4': 0.05927601829171181, 'redshifts/outlier_fraction_cata_bin_5': 0.016835017129778862}\n", + "total num of pts: tensor([64942.])\n", + "total num of pts: tensor([23653., 15720., 6583., 3694., 2211., 13081.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1032/1563 [1:39:25<58:02, 6.56s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07594892382621765, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.0046013593673706055, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010832765139639378, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.00025641906540840864, 'redshifts/mse': 0.31180623173713684, 'redshifts/mse_bin_0': 0.4376901388168335, 'redshifts/mse_bin_1': 0.36193686723709106, 'redshifts/mse_bin_2': 0.29489168524742126, 'redshifts/mse_bin_3': 0.21394991874694824, 'redshifts/mse_bin_4': 0.22978173196315765, 'redshifts/mse_bin_5': 0.0739508643746376, 'redshifts/nmad': 0.11252456903457642, 'redshifts/nmad_bin_0': 0.21243569254875183, 'redshifts/nmad_bin_1': 0.13415895402431488, 'redshifts/nmad_bin_2': 0.08803458511829376, 'redshifts/nmad_bin_3': 0.071234792470932, 'redshifts/nmad_bin_4': 0.06317364424467087, 'redshifts/nmad_bin_5': 0.03518838807940483, 'redshifts/outlier_fraction': 0.32709187269210815, 'redshifts/outlier_fraction_bin_0': 0.4892825484275818, 'redshifts/outlier_fraction_bin_1': 0.3560432493686676, 'redshifts/outlier_fraction_bin_2': 0.2600637972354889, 'redshifts/outlier_fraction_bin_3': 0.1965349167585373, 'redshifts/outlier_fraction_bin_4': 0.18724559247493744, 'redshifts/outlier_fraction_bin_5': 0.09326504170894623, 'redshifts/outlier_fraction_cata': 0.08897169679403305, 'redshifts/outlier_fraction_cata_bin_0': 0.13321776688098907, 'redshifts/outlier_fraction_cata_bin_1': 0.09828244149684906, 'redshifts/outlier_fraction_cata_bin_2': 0.08020659536123276, 'redshifts/outlier_fraction_cata_bin_3': 0.054683271795511246, 'redshifts/outlier_fraction_cata_bin_4': 0.05924920737743378, 'redshifts/outlier_fraction_cata_bin_5': 0.016894733533263206}\n", + "total num of pts: tensor([65011.])\n", + "total num of pts: tensor([23678., 15738., 6589., 3698., 2213., 13095.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1033/1563 [1:39:31<56:23, 6.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004613758996129036, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.31176602840423584, 'redshifts/mse_bin_0': 0.43754124641418457, 'redshifts/mse_bin_1': 0.362216979265213, 'redshifts/mse_bin_2': 0.2946418821811676, 'redshifts/mse_bin_3': 0.2137705683708191, 'redshifts/mse_bin_4': 0.22957658767700195, 'redshifts/mse_bin_5': 0.07389003783464432, 'redshifts/nmad': 0.1125057265162468, 'redshifts/nmad_bin_0': 0.2123929262161255, 'redshifts/nmad_bin_1': 0.13419751822948456, 'redshifts/nmad_bin_2': 0.08796952664852142, 'redshifts/nmad_bin_3': 0.07128846645355225, 'redshifts/nmad_bin_4': 0.0631498247385025, 'redshifts/nmad_bin_5': 0.03520562872290611, 'redshifts/outlier_fraction': 0.3270984888076782, 'redshifts/outlier_fraction_bin_0': 0.4891882836818695, 'redshifts/outlier_fraction_bin_1': 0.3562079071998596, 'redshifts/outlier_fraction_bin_2': 0.25982698798179626, 'redshifts/outlier_fraction_bin_3': 0.19686317443847656, 'redshifts/outlier_fraction_bin_4': 0.1870763599872589, 'redshifts/outlier_fraction_bin_5': 0.09331806004047394, 'redshifts/outlier_fraction_cata': 0.08896955847740173, 'redshifts/outlier_fraction_cata_bin_0': 0.13320381939411163, 'redshifts/outlier_fraction_cata_bin_1': 0.09836065769195557, 'redshifts/outlier_fraction_cata_bin_2': 0.08013355731964111, 'redshifts/outlier_fraction_cata_bin_3': 0.05462412163615227, 'redshifts/outlier_fraction_cata_bin_4': 0.059195663779973984, 'redshifts/outlier_fraction_cata_bin_5': 0.016876669600605965}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1034/1563 [1:39:38<58:53, 6.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65079.])\n", + "total num of pts: tensor([23702., 15757., 6598., 3701., 2216., 13105.])\n", + "{'redshifts/bias_abs': 0.07599212229251862, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004630311392247677, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.3120324909687042, 'redshifts/mse_bin_0': 0.4375781714916229, 'redshifts/mse_bin_1': 0.36254024505615234, 'redshifts/mse_bin_2': 0.29494988918304443, 'redshifts/mse_bin_3': 0.2142288088798523, 'redshifts/mse_bin_4': 0.22933554649353027, 'redshifts/mse_bin_5': 0.07444491982460022, 'redshifts/nmad': 0.11258405447006226, 'redshifts/nmad_bin_0': 0.2123778760433197, 'redshifts/nmad_bin_1': 0.13417863845825195, 'redshifts/nmad_bin_2': 0.08802367001771927, 'redshifts/nmad_bin_3': 0.0713401585817337, 'redshifts/nmad_bin_4': 0.06283820420503616, 'redshifts/nmad_bin_5': 0.03522299975156784, 'redshifts/outlier_fraction': 0.32723304629325867, 'redshifts/outlier_fraction_bin_0': 0.48932579159736633, 'redshifts/outlier_fraction_bin_1': 0.35622262954711914, 'redshifts/outlier_fraction_bin_2': 0.25992724299430847, 'redshifts/outlier_fraction_bin_3': 0.19724398851394653, 'redshifts/outlier_fraction_bin_4': 0.18727436661720276, 'redshifts/outlier_fraction_bin_5': 0.09347577393054962, 'redshifts/outlier_fraction_cata': 0.08903025835752487, 'redshifts/outlier_fraction_cata_bin_0': 0.13315331935882568, 'redshifts/outlier_fraction_cata_bin_1': 0.09843244403600693, 'redshifts/outlier_fraction_cata_bin_2': 0.08017580956220627, 'redshifts/outlier_fraction_cata_bin_3': 0.05512023717164993, 'redshifts/outlier_fraction_cata_bin_4': 0.05911552160978317, 'redshifts/outlier_fraction_cata_bin_5': 0.01701640523970127}\n", + "total num of pts: tensor([65137.])\n", + "total num of pts: tensor([23729., 15771., 6602., 3702., 2218., 13115.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▌ | 1035/1563 [1:39:45<1:00:28, 6.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07601064443588257, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004645819775760174, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.312080055475235, 'redshifts/mse_bin_0': 0.4377977252006531, 'redshifts/mse_bin_1': 0.3623902499675751, 'redshifts/mse_bin_2': 0.29480621218681335, 'redshifts/mse_bin_3': 0.21439743041992188, 'redshifts/mse_bin_4': 0.22929008305072784, 'redshifts/mse_bin_5': 0.07439080625772476, 'redshifts/nmad': 0.1126207485795021, 'redshifts/nmad_bin_0': 0.21237297356128693, 'redshifts/nmad_bin_1': 0.13417141139507294, 'redshifts/nmad_bin_2': 0.08801545202732086, 'redshifts/nmad_bin_3': 0.07132779061794281, 'redshifts/nmad_bin_4': 0.06276873499155045, 'redshifts/nmad_bin_5': 0.03519138693809509, 'redshifts/outlier_fraction': 0.3272947669029236, 'redshifts/outlier_fraction_bin_0': 0.489443302154541, 'redshifts/outlier_fraction_bin_1': 0.3562234342098236, 'redshifts/outlier_fraction_bin_2': 0.2597697675228119, 'redshifts/outlier_fraction_bin_3': 0.1974608302116394, 'redshifts/outlier_fraction_bin_4': 0.18755635619163513, 'redshifts/outlier_fraction_bin_5': 0.09340450167655945, 'redshifts/outlier_fraction_cata': 0.08902774006128311, 'redshifts/outlier_fraction_cata_bin_0': 0.13321252167224884, 'redshifts/outlier_fraction_cata_bin_1': 0.0983450636267662, 'redshifts/outlier_fraction_cata_bin_2': 0.08012723177671432, 'redshifts/outlier_fraction_cata_bin_3': 0.05510534718632698, 'redshifts/outlier_fraction_cata_bin_4': 0.05906221643090248, 'redshifts/outlier_fraction_cata_bin_5': 0.017003431916236877}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▋ | 1036/1563 [1:39:50<55:19, 6.30s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65191.])\n", + "total num of pts: tensor([23752., 15787., 6607., 3702., 2219., 13124.])\n", + "{'redshifts/bias_abs': 0.07601728290319443, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004628400318324566, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.3121804893016815, 'redshifts/mse_bin_0': 0.4381455183029175, 'redshifts/mse_bin_1': 0.3623126447200775, 'redshifts/mse_bin_2': 0.29465222358703613, 'redshifts/mse_bin_3': 0.21439743041992188, 'redshifts/mse_bin_4': 0.22919398546218872, 'redshifts/mse_bin_5': 0.07434160262346268, 'redshifts/nmad': 0.11260898411273956, 'redshifts/nmad_bin_0': 0.2124355435371399, 'redshifts/nmad_bin_1': 0.13416415452957153, 'redshifts/nmad_bin_2': 0.08801545202732086, 'redshifts/nmad_bin_3': 0.07132779061794281, 'redshifts/nmad_bin_4': 0.0630469098687172, 'redshifts/nmad_bin_5': 0.035180188715457916, 'redshifts/outlier_fraction': 0.3272691071033478, 'redshifts/outlier_fraction_bin_0': 0.4894324541091919, 'redshifts/outlier_fraction_bin_1': 0.35611578822135925, 'redshifts/outlier_fraction_bin_2': 0.25972452759742737, 'redshifts/outlier_fraction_bin_3': 0.1974608302116394, 'redshifts/outlier_fraction_bin_4': 0.18747183680534363, 'redshifts/outlier_fraction_bin_5': 0.0933404415845871, 'redshifts/outlier_fraction_cata': 0.08907671272754669, 'redshifts/outlier_fraction_cata_bin_0': 0.13337823748588562, 'redshifts/outlier_fraction_cata_bin_1': 0.0983087345957756, 'redshifts/outlier_fraction_cata_bin_2': 0.08006659895181656, 'redshifts/outlier_fraction_cata_bin_3': 0.05510534718632698, 'redshifts/outlier_fraction_cata_bin_4': 0.05903560295701027, 'redshifts/outlier_fraction_cata_bin_5': 0.016991769894957542}\n", + "total num of pts: tensor([65254.])\n", + "total num of pts: tensor([23782., 15808., 6611., 3706., 2219., 13128.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▋ | 1037/1563 [1:39:54<49:50, 5.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004628235474228859, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.3120945990085602, 'redshifts/mse_bin_0': 0.4379272162914276, 'redshifts/mse_bin_1': 0.361968994140625, 'redshifts/mse_bin_2': 0.29484036564826965, 'redshifts/mse_bin_3': 0.2145499885082245, 'redshifts/mse_bin_4': 0.22919398546218872, 'redshifts/mse_bin_5': 0.07432582229375839, 'redshifts/nmad': 0.11262282729148865, 'redshifts/nmad_bin_0': 0.21240173280239105, 'redshifts/nmad_bin_1': 0.1341877579689026, 'redshifts/nmad_bin_2': 0.08800587058067322, 'redshifts/nmad_bin_3': 0.0713738352060318, 'redshifts/nmad_bin_4': 0.0630469098687172, 'redshifts/nmad_bin_5': 0.03518396615982056, 'redshifts/outlier_fraction': 0.32732093334198, 'redshifts/outlier_fraction_bin_0': 0.48931965231895447, 'redshifts/outlier_fraction_bin_1': 0.35602226853370667, 'redshifts/outlier_fraction_bin_2': 0.25986990332603455, 'redshifts/outlier_fraction_bin_3': 0.19805720448493958, 'redshifts/outlier_fraction_bin_4': 0.18747183680534363, 'redshifts/outlier_fraction_bin_5': 0.09338817745447159, 'redshifts/outlier_fraction_cata': 0.08905201405286789, 'redshifts/outlier_fraction_cata_bin_0': 0.133336141705513, 'redshifts/outlier_fraction_cata_bin_1': 0.09817814081907272, 'redshifts/outlier_fraction_cata_bin_2': 0.08016941696405411, 'redshifts/outlier_fraction_cata_bin_3': 0.055045872926712036, 'redshifts/outlier_fraction_cata_bin_4': 0.05903560295701027, 'redshifts/outlier_fraction_cata_bin_5': 0.01698659360408783}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▋ | 1038/1563 [1:40:00<48:09, 5.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65321.])\n", + "total num of pts: tensor([23813., 15822., 6614., 3712., 2221., 13139.])\n", + "{'redshifts/bias_abs': 0.07603517919778824, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004617899656295776, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.3121797442436218, 'redshifts/mse_bin_0': 0.4381122291088104, 'redshifts/mse_bin_1': 0.3619672954082489, 'redshifts/mse_bin_2': 0.294813334941864, 'redshifts/mse_bin_3': 0.2148258239030838, 'redshifts/mse_bin_4': 0.22899502515792847, 'redshifts/mse_bin_5': 0.07429549843072891, 'redshifts/nmad': 0.11263457685709, 'redshifts/nmad_bin_0': 0.21244749426841736, 'redshifts/nmad_bin_1': 0.13414986431598663, 'redshifts/nmad_bin_2': 0.0879841223359108, 'redshifts/nmad_bin_3': 0.0713738352060318, 'redshifts/nmad_bin_4': 0.0630469098687172, 'redshifts/nmad_bin_5': 0.035169463604688644, 'redshifts/outlier_fraction': 0.32732200622558594, 'redshifts/outlier_fraction_bin_0': 0.48935455083847046, 'redshifts/outlier_fraction_bin_1': 0.35589686036109924, 'redshifts/outlier_fraction_bin_2': 0.259903222322464, 'redshifts/outlier_fraction_bin_3': 0.19800646603107452, 'redshifts/outlier_fraction_bin_4': 0.18730302155017853, 'redshifts/outlier_fraction_bin_5': 0.09338609874248505, 'redshifts/outlier_fraction_cata': 0.08908314257860184, 'redshifts/outlier_fraction_cata_bin_0': 0.13341452181339264, 'redshifts/outlier_fraction_cata_bin_1': 0.0981544703245163, 'redshifts/outlier_fraction_cata_bin_2': 0.08013305068016052, 'redshifts/outlier_fraction_cata_bin_3': 0.055226292461156845, 'redshifts/outlier_fraction_cata_bin_4': 0.05898243933916092, 'redshifts/outlier_fraction_cata_bin_5': 0.01697237230837345}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 66%|██████▋ | 1039/1563 [1:40:05<46:43, 5.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65384.])\n", + "total num of pts: tensor([23833., 15839., 6618., 3716., 2223., 13155.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.004628400318324566, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.3121280074119568, 'redshifts/mse_bin_0': 0.43793967366218567, 'redshifts/mse_bin_1': 0.3621351420879364, 'redshifts/mse_bin_2': 0.2948157489299774, 'redshifts/mse_bin_3': 0.21497352421283722, 'redshifts/mse_bin_4': 0.2288045883178711, 'redshifts/mse_bin_5': 0.07421937584877014, 'redshifts/nmad': 0.11261742562055588, 'redshifts/nmad_bin_0': 0.21241353452205658, 'redshifts/nmad_bin_1': 0.13414262235164642, 'redshifts/nmad_bin_2': 0.08798712491989136, 'redshifts/nmad_bin_3': 0.07139783352613449, 'redshifts/nmad_bin_4': 0.06311638653278351, 'redshifts/nmad_bin_5': 0.03515881672501564, 'redshifts/outlier_fraction': 0.32734307646751404, 'redshifts/outlier_fraction_bin_0': 0.4893215298652649, 'redshifts/outlier_fraction_bin_1': 0.3560199439525604, 'redshifts/outlier_fraction_bin_2': 0.25989726185798645, 'redshifts/outlier_fraction_bin_3': 0.1983315348625183, 'redshifts/outlier_fraction_bin_4': 0.1871345043182373, 'redshifts/outlier_fraction_bin_5': 0.09342455118894577, 'redshifts/outlier_fraction_cata': 0.08905848860740662, 'redshifts/outlier_fraction_cata_bin_0': 0.13330256938934326, 'redshifts/outlier_fraction_cata_bin_1': 0.09817539155483246, 'redshifts/outlier_fraction_cata_bin_2': 0.08023571968078613, 'redshifts/outlier_fraction_cata_bin_3': 0.05543595179915428, 'redshifts/outlier_fraction_cata_bin_4': 0.05892937630414963, 'redshifts/outlier_fraction_cata_bin_5': 0.016951728612184525}\n", + "total num of pts: tensor([65446.])\n", + "total num of pts: tensor([23856., 15852., 6624., 3719., 2224., 13171.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1040/1563 [1:40:09<45:31, 5.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07600642740726471, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.023757752031087875, 'redshifts/bias': 0.0046561965718865395, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.3121502101421356, 'redshifts/mse_bin_0': 0.43809548020362854, 'redshifts/mse_bin_1': 0.36208415031433105, 'redshifts/mse_bin_2': 0.29471486806869507, 'redshifts/mse_bin_3': 0.21493050456047058, 'redshifts/mse_bin_4': 0.22871868312358856, 'redshifts/mse_bin_5': 0.07424255460500717, 'redshifts/nmad': 0.11260586977005005, 'redshifts/nmad_bin_0': 0.21233050525188446, 'redshifts/nmad_bin_1': 0.13409775495529175, 'redshifts/nmad_bin_2': 0.08796840161085129, 'redshifts/nmad_bin_3': 0.07135681062936783, 'redshifts/nmad_bin_4': 0.0630469098687172, 'redshifts/nmad_bin_5': 0.03513948246836662, 'redshifts/outlier_fraction': 0.3273232877254486, 'redshifts/outlier_fraction_bin_0': 0.4893108606338501, 'redshifts/outlier_fraction_bin_1': 0.3559803068637848, 'redshifts/outlier_fraction_bin_2': 0.2598128020763397, 'redshifts/outlier_fraction_bin_3': 0.19844044744968414, 'redshifts/outlier_fraction_bin_4': 0.18705035746097565, 'redshifts/outlier_fraction_bin_5': 0.09346291422843933, 'redshifts/outlier_fraction_cata': 0.08911163359880447, 'redshifts/outlier_fraction_cata_bin_0': 0.1333836317062378, 'redshifts/outlier_fraction_cata_bin_1': 0.09822104126214981, 'redshifts/outlier_fraction_cata_bin_2': 0.08031401038169861, 'redshifts/outlier_fraction_cata_bin_3': 0.055391233414411545, 'redshifts/outlier_fraction_cata_bin_4': 0.05890287831425667, 'redshifts/outlier_fraction_cata_bin_5': 0.01700706034898758}\n", + "total num of pts: tensor([65505.])\n", + "total num of pts: tensor([23877., 15870., 6627., 3724., 2226., 13181.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1041/1563 [1:40:14<44:28, 5.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04237974062561989, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004669431131333113, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.3120728135108948, 'redshifts/mse_bin_0': 0.4380635619163513, 'redshifts/mse_bin_1': 0.36174502968788147, 'redshifts/mse_bin_2': 0.29458194971084595, 'redshifts/mse_bin_3': 0.21532148122787476, 'redshifts/mse_bin_4': 0.22851340472698212, 'redshifts/mse_bin_5': 0.07428038865327835, 'redshifts/nmad': 0.1125856339931488, 'redshifts/nmad_bin_0': 0.21230630576610565, 'redshifts/nmad_bin_1': 0.13397780060768127, 'redshifts/nmad_bin_2': 0.0879647433757782, 'redshifts/nmad_bin_3': 0.0713614746928215, 'redshifts/nmad_bin_4': 0.06283820420503616, 'redshifts/nmad_bin_5': 0.03515339642763138, 'redshifts/outlier_fraction': 0.3272727131843567, 'redshifts/outlier_fraction_bin_0': 0.48929932713508606, 'redshifts/outlier_fraction_bin_1': 0.35576558113098145, 'redshifts/outlier_fraction_bin_2': 0.2596951723098755, 'redshifts/outlier_fraction_bin_3': 0.19844253361225128, 'redshifts/outlier_fraction_bin_4': 0.18688230216503143, 'redshifts/outlier_fraction_bin_5': 0.09354373812675476, 'redshifts/outlier_fraction_cata': 0.0891076996922493, 'redshifts/outlier_fraction_cata_bin_0': 0.13343384861946106, 'redshifts/outlier_fraction_cata_bin_1': 0.0981096401810646, 'redshifts/outlier_fraction_cata_bin_2': 0.08027765154838562, 'redshifts/outlier_fraction_cata_bin_3': 0.05558539181947708, 'redshifts/outlier_fraction_cata_bin_4': 0.05884995684027672, 'redshifts/outlier_fraction_cata_bin_5': 0.016994157806038857}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1042/1563 [1:40:19<43:27, 5.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65567.])\n", + "total num of pts: tensor([23907., 15882., 6632., 3724., 2228., 13194.])\n", + "{'redshifts/bias_abs': 0.07600642740726471, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004680842626839876, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00027564167976379395, 'redshifts/mse': 0.3120706379413605, 'redshifts/mse_bin_0': 0.43807217478752136, 'redshifts/mse_bin_1': 0.36154797673225403, 'redshifts/mse_bin_2': 0.29447755217552185, 'redshifts/mse_bin_3': 0.21532148122787476, 'redshifts/mse_bin_4': 0.22993060946464539, 'redshifts/mse_bin_5': 0.07422616332769394, 'redshifts/nmad': 0.11260977387428284, 'redshifts/nmad_bin_0': 0.21231809258460999, 'redshifts/nmad_bin_1': 0.1340072751045227, 'redshifts/nmad_bin_2': 0.08795902132987976, 'redshifts/nmad_bin_3': 0.0713614746928215, 'redshifts/nmad_bin_4': 0.0631498247385025, 'redshifts/nmad_bin_5': 0.035157710313797, 'redshifts/outlier_fraction': 0.3273140490055084, 'redshifts/outlier_fraction_bin_0': 0.4892709255218506, 'redshifts/outlier_fraction_bin_1': 0.35574865341186523, 'redshifts/outlier_fraction_bin_2': 0.2598009705543518, 'redshifts/outlier_fraction_bin_3': 0.19844253361225128, 'redshifts/outlier_fraction_bin_4': 0.1871633678674698, 'redshifts/outlier_fraction_bin_5': 0.09360315650701523, 'redshifts/outlier_fraction_cata': 0.0890996977686882, 'redshifts/outlier_fraction_cata_bin_0': 0.1334337294101715, 'redshifts/outlier_fraction_cata_bin_1': 0.09803551435470581, 'redshifts/outlier_fraction_cata_bin_2': 0.08021713048219681, 'redshifts/outlier_fraction_cata_bin_3': 0.05558539181947708, 'redshifts/outlier_fraction_cata_bin_4': 0.05924595892429352, 'redshifts/outlier_fraction_cata_bin_5': 0.01697741448879242}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1043/1563 [1:40:24<44:00, 5.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65631.])\n", + "total num of pts: tensor([23925., 15894., 6638., 3727., 2232., 13215.])\n", + "{'redshifts/bias_abs': 0.07600420713424683, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05914975330233574, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.042383160442113876, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.004675085190683603, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.31199535727500916, 'redshifts/mse_bin_0': 0.43796274065971375, 'redshifts/mse_bin_1': 0.3613685369491577, 'redshifts/mse_bin_2': 0.2948908507823944, 'redshifts/mse_bin_3': 0.21518339216709137, 'redshifts/mse_bin_4': 0.22973059117794037, 'redshifts/mse_bin_5': 0.07434725761413574, 'redshifts/nmad': 0.11259181052446365, 'redshifts/nmad_bin_0': 0.2122977077960968, 'redshifts/nmad_bin_1': 0.13404420018196106, 'redshifts/nmad_bin_2': 0.08794280141592026, 'redshifts/nmad_bin_3': 0.07135073840618134, 'redshifts/nmad_bin_4': 0.06311638653278351, 'redshifts/nmad_bin_5': 0.03516875579953194, 'redshifts/outlier_fraction': 0.32723864912986755, 'redshifts/outlier_fraction_bin_0': 0.48915359377861023, 'redshifts/outlier_fraction_bin_1': 0.35579463839530945, 'redshifts/outlier_fraction_bin_2': 0.25971677899360657, 'redshifts/outlier_fraction_bin_3': 0.19855111837387085, 'redshifts/outlier_fraction_bin_4': 0.1877240091562271, 'redshifts/outlier_fraction_bin_5': 0.0935300812125206, 'redshifts/outlier_fraction_cata': 0.08908899873495102, 'redshifts/outlier_fraction_cata_bin_0': 0.1334587186574936, 'redshifts/outlier_fraction_cata_bin_1': 0.09796149283647537, 'redshifts/outlier_fraction_cata_bin_2': 0.08029527217149734, 'redshifts/outlier_fraction_cata_bin_3': 0.055540651082992554, 'redshifts/outlier_fraction_cata_bin_4': 0.059139784425497055, 'redshifts/outlier_fraction_cata_bin_5': 0.017026105895638466}\n", + "total num of pts: tensor([65689.])\n", + "total num of pts: tensor([23953., 15907., 6643., 3728., 2233., 13225.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1044/1563 [1:40:29<43:21, 5.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07601064443588257, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04243974760174751, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.00468229316174984, 'redshifts/bias_bin_0': 0.029450256377458572, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.3121764063835144, 'redshifts/mse_bin_0': 0.4382599890232086, 'redshifts/mse_bin_1': 0.36154547333717346, 'redshifts/mse_bin_2': 0.2951096296310425, 'redshifts/mse_bin_3': 0.2151256799697876, 'redshifts/mse_bin_4': 0.22963300347328186, 'redshifts/mse_bin_5': 0.07430247962474823, 'redshifts/nmad': 0.11261521279811859, 'redshifts/nmad_bin_0': 0.21231654286384583, 'redshifts/nmad_bin_1': 0.13405802845954895, 'redshifts/nmad_bin_2': 0.0879841223359108, 'redshifts/nmad_bin_3': 0.07130647450685501, 'redshifts/nmad_bin_4': 0.06319772452116013, 'redshifts/nmad_bin_5': 0.03518734872341156, 'redshifts/outlier_fraction': 0.3272998631000519, 'redshifts/outlier_fraction_bin_0': 0.4892915189266205, 'redshifts/outlier_fraction_bin_1': 0.35569247603416443, 'redshifts/outlier_fraction_bin_2': 0.2596718370914459, 'redshifts/outlier_fraction_bin_3': 0.19849784672260284, 'redshifts/outlier_fraction_bin_4': 0.18763995170593262, 'redshifts/outlier_fraction_bin_5': 0.09361058473587036, 'redshifts/outlier_fraction_cata': 0.08919301629066467, 'redshifts/outlier_fraction_cata_bin_0': 0.13372020423412323, 'redshifts/outlier_fraction_cata_bin_1': 0.09794430434703827, 'redshifts/outlier_fraction_cata_bin_2': 0.08038536459207535, 'redshifts/outlier_fraction_cata_bin_3': 0.055525749921798706, 'redshifts/outlier_fraction_cata_bin_4': 0.05911330133676529, 'redshifts/outlier_fraction_cata_bin_5': 0.01701323315501213}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1045/1563 [1:40:36<47:26, 5.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65755.])\n", + "total num of pts: tensor([23978., 15928., 6650., 3728., 2235., 13236.])\n", + "{'redshifts/bias_abs': 0.07600955665111542, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04254741594195366, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004689324647188187, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.010968540795147419, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.31219473481178284, 'redshifts/mse_bin_0': 0.4382059574127197, 'redshifts/mse_bin_1': 0.3615453839302063, 'redshifts/mse_bin_2': 0.29499655961990356, 'redshifts/mse_bin_3': 0.2151256799697876, 'redshifts/mse_bin_4': 0.23035970330238342, 'redshifts/mse_bin_5': 0.07432840019464493, 'redshifts/nmad': 0.11261291801929474, 'redshifts/nmad_bin_0': 0.21227021515369415, 'redshifts/nmad_bin_1': 0.13399013876914978, 'redshifts/nmad_bin_2': 0.08798712491989136, 'redshifts/nmad_bin_3': 0.07130647450685501, 'redshifts/nmad_bin_4': 0.06321751326322556, 'redshifts/nmad_bin_5': 0.03519182652235031, 'redshifts/outlier_fraction': 0.32727548480033875, 'redshifts/outlier_fraction_bin_0': 0.48911502957344055, 'redshifts/outlier_fraction_bin_1': 0.3556002080440521, 'redshifts/outlier_fraction_bin_2': 0.2598496377468109, 'redshifts/outlier_fraction_bin_3': 0.19849784672260284, 'redshifts/outlier_fraction_bin_4': 0.18836688995361328, 'redshifts/outlier_fraction_bin_5': 0.09360834211111069, 'redshifts/outlier_fraction_cata': 0.08919473737478256, 'redshifts/outlier_fraction_cata_bin_0': 0.13366419076919556, 'redshifts/outlier_fraction_cata_bin_1': 0.09794073551893234, 'redshifts/outlier_fraction_cata_bin_2': 0.08030074834823608, 'redshifts/outlier_fraction_cata_bin_3': 0.055525749921798706, 'redshifts/outlier_fraction_cata_bin_4': 0.0595078282058239, 'redshifts/outlier_fraction_cata_bin_5': 0.017074644565582275}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1046/1563 [1:40:41<46:34, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65813.])\n", + "total num of pts: tensor([24003., 15937., 6653., 3731., 2239., 13250.])\n", + "{'redshifts/bias_abs': 0.0759994387626648, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.04254741594195366, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004694633651524782, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.31209835410118103, 'redshifts/mse_bin_0': 0.43817391991615295, 'redshifts/mse_bin_1': 0.3613905608654022, 'redshifts/mse_bin_2': 0.294941246509552, 'redshifts/mse_bin_3': 0.21496617794036865, 'redshifts/mse_bin_4': 0.2299870103597641, 'redshifts/mse_bin_5': 0.07425985485315323, 'redshifts/nmad': 0.11256374418735504, 'redshifts/nmad_bin_0': 0.21221154928207397, 'redshifts/nmad_bin_1': 0.13386495411396027, 'redshifts/nmad_bin_2': 0.08801889419555664, 'redshifts/nmad_bin_3': 0.0713600292801857, 'redshifts/nmad_bin_4': 0.06335515528917313, 'redshifts/nmad_bin_5': 0.03520447388291359, 'redshifts/outlier_fraction': 0.3271845877170563, 'redshifts/outlier_fraction_bin_0': 0.4889805316925049, 'redshifts/outlier_fraction_bin_1': 0.35546213388442993, 'redshifts/outlier_fraction_bin_2': 0.25988274812698364, 'redshifts/outlier_fraction_bin_3': 0.19833824038505554, 'redshifts/outlier_fraction_bin_4': 0.18847699463367462, 'redshifts/outlier_fraction_bin_5': 0.09358490258455276, 'redshifts/outlier_fraction_cata': 0.089161716401577, 'redshifts/outlier_fraction_cata_bin_0': 0.13364996016025543, 'redshifts/outlier_fraction_cata_bin_1': 0.09788542240858078, 'redshifts/outlier_fraction_cata_bin_2': 0.08026454597711563, 'redshifts/outlier_fraction_cata_bin_3': 0.05548110604286194, 'redshifts/outlier_fraction_cata_bin_4': 0.05940151959657669, 'redshifts/outlier_fraction_cata_bin_5': 0.017056602984666824}\n", + "total num of pts: tensor([65880.])\n", + "total num of pts: tensor([24026., 15954., 6658., 3738., 2241., 13263.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1047/1563 [1:40:47<49:02, 5.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07599033415317535, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09061809629201889, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.042556729167699814, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004710972309112549, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.3122181296348572, 'redshifts/mse_bin_0': 0.4383724629878998, 'redshifts/mse_bin_1': 0.36109015345573425, 'redshifts/mse_bin_2': 0.2952224016189575, 'redshifts/mse_bin_3': 0.21638545393943787, 'redshifts/mse_bin_4': 0.22979821264743805, 'redshifts/mse_bin_5': 0.0743686780333519, 'redshifts/nmad': 0.11256469041109085, 'redshifts/nmad_bin_0': 0.21222440898418427, 'redshifts/nmad_bin_1': 0.1338343471288681, 'redshifts/nmad_bin_2': 0.08803756535053253, 'redshifts/nmad_bin_3': 0.0713614746928215, 'redshifts/nmad_bin_4': 0.06340865790843964, 'redshifts/nmad_bin_5': 0.03521374985575676, 'redshifts/outlier_fraction': 0.32721614837646484, 'redshifts/outlier_fraction_bin_0': 0.48905351758003235, 'redshifts/outlier_fraction_bin_1': 0.3553967773914337, 'redshifts/outlier_fraction_bin_2': 0.2599879801273346, 'redshifts/outlier_fraction_bin_3': 0.19876939058303833, 'redshifts/outlier_fraction_bin_4': 0.18830879032611847, 'redshifts/outlier_fraction_bin_5': 0.09356857091188431, 'redshifts/outlier_fraction_cata': 0.0891924723982811, 'redshifts/outlier_fraction_cata_bin_0': 0.13368850946426392, 'redshifts/outlier_fraction_cata_bin_1': 0.09778112173080444, 'redshifts/outlier_fraction_cata_bin_2': 0.08035445958375931, 'redshifts/outlier_fraction_cata_bin_3': 0.05591225251555443, 'redshifts/outlier_fraction_cata_bin_4': 0.05934850499033928, 'redshifts/outlier_fraction_cata_bin_5': 0.017115283757448196}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1048/1563 [1:40:54<51:59, 6.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([65943.])\n", + "total num of pts: tensor([24045., 15967., 6667., 3739., 2244., 13281.])\n", + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.042556729167699814, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004694633651524782, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00027564167976379395, 'redshifts/mse': 0.31220322847366333, 'redshifts/mse_bin_0': 0.43856269121170044, 'redshifts/mse_bin_1': 0.36094075441360474, 'redshifts/mse_bin_2': 0.29523399472236633, 'redshifts/mse_bin_3': 0.21632808446884155, 'redshifts/mse_bin_4': 0.22973625361919403, 'redshifts/mse_bin_5': 0.0742822214961052, 'redshifts/nmad': 0.11258158087730408, 'redshifts/nmad_bin_0': 0.21231809258460999, 'redshifts/nmad_bin_1': 0.13378937542438507, 'redshifts/nmad_bin_2': 0.08811049163341522, 'redshifts/nmad_bin_3': 0.0713614746928215, 'redshifts/nmad_bin_4': 0.06344691663980484, 'redshifts/nmad_bin_5': 0.0352192260324955, 'redshifts/outlier_fraction': 0.3272523283958435, 'redshifts/outlier_fraction_bin_0': 0.4892493188381195, 'redshifts/outlier_fraction_bin_1': 0.3552953004837036, 'redshifts/outlier_fraction_bin_2': 0.2602369785308838, 'redshifts/outlier_fraction_bin_3': 0.19871623814105988, 'redshifts/outlier_fraction_bin_4': 0.18850266933441162, 'redshifts/outlier_fraction_bin_5': 0.09351705759763718, 'redshifts/outlier_fraction_cata': 0.08919824659824371, 'redshifts/outlier_fraction_cata_bin_0': 0.13374921679496765, 'redshifts/outlier_fraction_cata_bin_1': 0.09776414185762405, 'redshifts/outlier_fraction_cata_bin_2': 0.08039598166942596, 'redshifts/outlier_fraction_cata_bin_3': 0.0558972992002964, 'redshifts/outlier_fraction_cata_bin_4': 0.05926916375756264, 'redshifts/outlier_fraction_cata_bin_5': 0.017092086374759674}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1049/1563 [1:40:59<49:13, 5.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66005.])\n", + "total num of pts: tensor([24066., 15979., 6672., 3742., 2244., 13302.])\n", + "{'redshifts/bias_abs': 0.07600274682044983, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.042556729167699814, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004700779914855957, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00027564167976379395, 'redshifts/mse': 0.31234923005104065, 'redshifts/mse_bin_0': 0.4385067820549011, 'redshifts/mse_bin_1': 0.3609921634197235, 'redshifts/mse_bin_2': 0.2960510551929474, 'redshifts/mse_bin_3': 0.21618610620498657, 'redshifts/mse_bin_4': 0.22973625361919403, 'redshifts/mse_bin_5': 0.07483626902103424, 'redshifts/nmad': 0.11258592456579208, 'redshifts/nmad_bin_0': 0.2122977077960968, 'redshifts/nmad_bin_1': 0.1337369829416275, 'redshifts/nmad_bin_2': 0.08811049163341522, 'redshifts/nmad_bin_3': 0.0713646337389946, 'redshifts/nmad_bin_4': 0.06344691663980484, 'redshifts/nmad_bin_5': 0.03523455187678337, 'redshifts/outlier_fraction': 0.32721763849258423, 'redshifts/outlier_fraction_bin_0': 0.48919638991355896, 'redshifts/outlier_fraction_bin_1': 0.3551536500453949, 'redshifts/outlier_fraction_bin_2': 0.26034173369407654, 'redshifts/outlier_fraction_bin_3': 0.19855691492557526, 'redshifts/outlier_fraction_bin_4': 0.18850266933441162, 'redshifts/outlier_fraction_bin_5': 0.09374529868364334, 'redshifts/outlier_fraction_cata': 0.08923566341400146, 'redshifts/outlier_fraction_cata_bin_0': 0.13375717401504517, 'redshifts/outlier_fraction_cata_bin_1': 0.09775330126285553, 'redshifts/outlier_fraction_cata_bin_2': 0.08063548803329468, 'redshifts/outlier_fraction_cata_bin_3': 0.055852483958005905, 'redshifts/outlier_fraction_cata_bin_4': 0.05926916375756264, 'redshifts/outlier_fraction_cata_bin_5': 0.017215456813573837}\n", + "total num of pts: tensor([66076.])\n", + "total num of pts: tensor([24094., 15999., 6679., 3744., 2248., 13312.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1050/1563 [1:41:08<56:04, 6.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07600955665111542, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09052565693855286, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.04263637587428093, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004700779914855957, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.3125675916671753, 'redshifts/mse_bin_0': 0.43898874521255493, 'redshifts/mse_bin_1': 0.36094534397125244, 'redshifts/mse_bin_2': 0.29665568470954895, 'redshifts/mse_bin_3': 0.2160748690366745, 'redshifts/mse_bin_4': 0.22934934496879578, 'redshifts/mse_bin_5': 0.07478515803813934, 'redshifts/nmad': 0.11259142309427261, 'redshifts/nmad_bin_0': 0.21231231093406677, 'redshifts/nmad_bin_1': 0.13375738263130188, 'redshifts/nmad_bin_2': 0.08823054283857346, 'redshifts/nmad_bin_3': 0.0713646337389946, 'redshifts/nmad_bin_4': 0.06353461742401123, 'redshifts/nmad_bin_5': 0.03522064909338951, 'redshifts/outlier_fraction': 0.32728978991508484, 'redshifts/outlier_fraction_bin_0': 0.48937493562698364, 'redshifts/outlier_fraction_bin_1': 0.35508468747138977, 'redshifts/outlier_fraction_bin_2': 0.2606677711009979, 'redshifts/outlier_fraction_bin_3': 0.19845084846019745, 'redshifts/outlier_fraction_bin_4': 0.1881672590970993, 'redshifts/outlier_fraction_bin_5': 0.09367488324642181, 'redshifts/outlier_fraction_cata': 0.08933652192354202, 'redshifts/outlier_fraction_cata_bin_0': 0.13393375277519226, 'redshifts/outlier_fraction_cata_bin_1': 0.09781861305236816, 'redshifts/outlier_fraction_cata_bin_2': 0.08085042983293533, 'redshifts/outlier_fraction_cata_bin_3': 0.055822648108005524, 'redshifts/outlier_fraction_cata_bin_4': 0.05916370078921318, 'redshifts/outlier_fraction_cata_bin_5': 0.017202524468302727}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1051/1563 [1:41:16<1:00:12, 7.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66150.])\n", + "total num of pts: tensor([24120., 16015., 6686., 3749., 2250., 13330.])\n", + "{'redshifts/bias_abs': 0.0759994387626648, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09052565693855286, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.04263637587428093, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.00470927357673645, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0002751648426055908, 'redshifts/mse': 0.3123708665370941, 'redshifts/mse_bin_0': 0.43869346380233765, 'redshifts/mse_bin_1': 0.3607451915740967, 'redshifts/mse_bin_2': 0.2964027523994446, 'redshifts/mse_bin_3': 0.21580089628696442, 'redshifts/mse_bin_4': 0.22939461469650269, 'redshifts/mse_bin_5': 0.07485335320234299, 'redshifts/nmad': 0.11256217211484909, 'redshifts/nmad_bin_0': 0.21222440898418427, 'redshifts/nmad_bin_1': 0.1337679773569107, 'redshifts/nmad_bin_2': 0.08827386051416397, 'redshifts/nmad_bin_3': 0.0713646337389946, 'redshifts/nmad_bin_4': 0.06350913643836975, 'redshifts/nmad_bin_5': 0.035234224051237106, 'redshifts/outlier_fraction': 0.32719576358795166, 'redshifts/outlier_fraction_bin_0': 0.4891376495361328, 'redshifts/outlier_fraction_bin_1': 0.355167031288147, 'redshifts/outlier_fraction_bin_2': 0.26054441928863525, 'redshifts/outlier_fraction_bin_3': 0.19818618893623352, 'redshifts/outlier_fraction_bin_4': 0.18844445049762726, 'redshifts/outlier_fraction_bin_5': 0.0936984270811081, 'redshifts/outlier_fraction_cata': 0.08928193151950836, 'redshifts/outlier_fraction_cata_bin_0': 0.13383084535598755, 'redshifts/outlier_fraction_cata_bin_1': 0.09772088378667831, 'redshifts/outlier_fraction_cata_bin_2': 0.08076577633619308, 'redshifts/outlier_fraction_cata_bin_3': 0.05574819818139076, 'redshifts/outlier_fraction_cata_bin_4': 0.059111110866069794, 'redshifts/outlier_fraction_cata_bin_5': 0.01732933148741722}\n", + "total num of pts: tensor([66219.])\n", + "total num of pts: tensor([24149., 16027., 6687., 3754., 2251., 13351.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1052/1563 [1:41:22<57:51, 6.79s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07600955665111542, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004732285160571337, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00030684733064845204, 'redshifts/mse': 0.3125603497028351, 'redshifts/mse_bin_0': 0.43902236223220825, 'redshifts/mse_bin_1': 0.36112064123153687, 'redshifts/mse_bin_2': 0.2963637113571167, 'redshifts/mse_bin_3': 0.21600602567195892, 'redshifts/mse_bin_4': 0.22930945456027985, 'redshifts/mse_bin_5': 0.07482285797595978, 'redshifts/nmad': 0.11257921904325485, 'redshifts/nmad_bin_0': 0.21222461760044098, 'redshifts/nmad_bin_1': 0.13381248712539673, 'redshifts/nmad_bin_2': 0.08829016238451004, 'redshifts/nmad_bin_3': 0.07141604274511337, 'redshifts/nmad_bin_4': 0.06355221569538116, 'redshifts/nmad_bin_5': 0.03524525836110115, 'redshifts/outlier_fraction': 0.3272927701473236, 'redshifts/outlier_fraction_bin_0': 0.4891713857650757, 'redshifts/outlier_fraction_bin_1': 0.3554626703262329, 'redshifts/outlier_fraction_bin_2': 0.26050546765327454, 'redshifts/outlier_fraction_bin_3': 0.19818860292434692, 'redshifts/outlier_fraction_bin_4': 0.18836073577404022, 'redshifts/outlier_fraction_bin_5': 0.09385064989328384, 'redshifts/outlier_fraction_cata': 0.08933991938829422, 'redshifts/outlier_fraction_cata_bin_0': 0.13391858339309692, 'redshifts/outlier_fraction_cata_bin_1': 0.09783490002155304, 'redshifts/outlier_fraction_cata_bin_2': 0.08075369894504547, 'redshifts/outlier_fraction_cata_bin_3': 0.055940330028533936, 'redshifts/outlier_fraction_cata_bin_4': 0.059084851294755936, 'redshifts/outlier_fraction_cata_bin_5': 0.017302075400948524}\n", + "total num of pts: tensor([66271.])\n", + "total num of pts: tensor([24167., 16040., 6689., 3756., 2254., 13365.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1053/1563 [1:41:28<54:27, 6.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004748902283608913, 'redshifts/bias_bin_0': 0.029490379616618156, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.31250542402267456, 'redshifts/mse_bin_0': 0.438882440328598, 'redshifts/mse_bin_1': 0.36120206117630005, 'redshifts/mse_bin_2': 0.29651686549186707, 'redshifts/mse_bin_3': 0.21589295566082, 'redshifts/mse_bin_4': 0.22901983559131622, 'redshifts/mse_bin_5': 0.07477685809135437, 'redshifts/nmad': 0.11261271685361862, 'redshifts/nmad_bin_0': 0.2121635526418686, 'redshifts/nmad_bin_1': 0.13383682072162628, 'redshifts/nmad_bin_2': 0.08830194175243378, 'redshifts/nmad_bin_3': 0.07140430063009262, 'redshifts/nmad_bin_4': 0.06353461742401123, 'redshifts/nmad_bin_5': 0.03526218980550766, 'redshifts/outlier_fraction': 0.3273075819015503, 'redshifts/outlier_fraction_bin_0': 0.48917946219444275, 'redshifts/outlier_fraction_bin_1': 0.355548620223999, 'redshifts/outlier_fraction_bin_2': 0.2605770528316498, 'redshifts/outlier_fraction_bin_3': 0.1980830729007721, 'redshifts/outlier_fraction_bin_4': 0.18811002373695374, 'redshifts/outlier_fraction_bin_5': 0.09390198439359665, 'redshifts/outlier_fraction_cata': 0.08934526145458221, 'redshifts/outlier_fraction_cata_bin_0': 0.13386021554470062, 'redshifts/outlier_fraction_cata_bin_1': 0.09794264286756516, 'redshifts/outlier_fraction_cata_bin_2': 0.08087905496358871, 'redshifts/outlier_fraction_cata_bin_3': 0.055910542607307434, 'redshifts/outlier_fraction_cata_bin_4': 0.059006210416555405, 'redshifts/outlier_fraction_cata_bin_5': 0.017283950001001358}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1054/1563 [1:41:32<48:43, 5.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66330.])\n", + "total num of pts: tensor([24184., 16053., 6700., 3758., 2256., 13379.])\n", + "{'redshifts/bias_abs': 0.07601728290319443, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04739610105752945, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004767485894262791, 'redshifts/bias_bin_0': 0.029490379616618156, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.31239157915115356, 'redshifts/mse_bin_0': 0.43873023986816406, 'redshifts/mse_bin_1': 0.3609873652458191, 'redshifts/mse_bin_2': 0.29619407653808594, 'redshifts/mse_bin_3': 0.21680572628974915, 'redshifts/mse_bin_4': 0.22918538749217987, 'redshifts/mse_bin_5': 0.0747031643986702, 'redshifts/nmad': 0.1125897467136383, 'redshifts/nmad_bin_0': 0.2121635526418686, 'redshifts/nmad_bin_1': 0.13383682072162628, 'redshifts/nmad_bin_2': 0.08835706114768982, 'redshifts/nmad_bin_3': 0.07145951688289642, 'redshifts/nmad_bin_4': 0.06351638585329056, 'redshifts/nmad_bin_5': 0.03528411313891411, 'redshifts/outlier_fraction': 0.3272576630115509, 'redshifts/outlier_fraction_bin_0': 0.4891250431537628, 'redshifts/outlier_fraction_bin_1': 0.35544759035110474, 'redshifts/outlier_fraction_bin_2': 0.2607462704181671, 'redshifts/outlier_fraction_bin_3': 0.19824375212192535, 'redshifts/outlier_fraction_bin_4': 0.18838652968406677, 'redshifts/outlier_fraction_bin_5': 0.09380371868610382, 'redshifts/outlier_fraction_cata': 0.08929594606161118, 'redshifts/outlier_fraction_cata_bin_0': 0.1338074803352356, 'redshifts/outlier_fraction_cata_bin_1': 0.0978633314371109, 'redshifts/outlier_fraction_cata_bin_2': 0.08074627071619034, 'redshifts/outlier_fraction_cata_bin_3': 0.05614688619971275, 'redshifts/outlier_fraction_cata_bin_4': 0.0589538998901844, 'redshifts/outlier_fraction_cata_bin_5': 0.017265863716602325}\n", + "total num of pts: tensor([66383.])\n", + "total num of pts: tensor([24212., 16065., 6706., 3760., 2257., 13383.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 1055/1563 [1:41:36<45:46, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07605617493391037, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09061044454574585, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004761363845318556, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.011133978143334389, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.3125097155570984, 'redshifts/mse_bin_0': 0.43879303336143494, 'redshifts/mse_bin_1': 0.36135977506637573, 'redshifts/mse_bin_2': 0.2959625720977783, 'redshifts/mse_bin_3': 0.21669363975524902, 'redshifts/mse_bin_4': 0.2290852814912796, 'redshifts/mse_bin_5': 0.07468396425247192, 'redshifts/nmad': 0.11261538416147232, 'redshifts/nmad_bin_0': 0.21221129596233368, 'redshifts/nmad_bin_1': 0.13384850323200226, 'redshifts/nmad_bin_2': 0.08833446353673935, 'redshifts/nmad_bin_3': 0.07140430063009262, 'redshifts/nmad_bin_4': 0.06351638585329056, 'redshifts/nmad_bin_5': 0.03528411313891411, 'redshifts/outlier_fraction': 0.3273579180240631, 'redshifts/outlier_fraction_bin_0': 0.48926153779029846, 'redshifts/outlier_fraction_bin_1': 0.35555556416511536, 'redshifts/outlier_fraction_bin_2': 0.26051297783851624, 'redshifts/outlier_fraction_bin_3': 0.1981382966041565, 'redshifts/outlier_fraction_bin_4': 0.18830305337905884, 'redshifts/outlier_fraction_bin_5': 0.09385040402412415, 'redshifts/outlier_fraction_cata': 0.0893150344491005, 'redshifts/outlier_fraction_cata_bin_0': 0.13373534381389618, 'redshifts/outlier_fraction_cata_bin_1': 0.09803921729326248, 'redshifts/outlier_fraction_cata_bin_2': 0.08067402243614197, 'redshifts/outlier_fraction_cata_bin_3': 0.056117020547389984, 'redshifts/outlier_fraction_cata_bin_4': 0.058927781879901886, 'redshifts/outlier_fraction_cata_bin_5': 0.017260704189538956}\n", + "total num of pts: tensor([66437.])\n", + "total num of pts: tensor([24229., 16078., 6707., 3764., 2260., 13399.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1056/1563 [1:41:43<49:19, 5.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07606246322393417, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09061809629201889, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04739610105752945, 'redshifts/bias_abs_bin_4': 0.04263637587428093, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004744112491607666, 'redshifts/bias_bin_0': 0.029490379616618156, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.312424898147583, 'redshifts/mse_bin_0': 0.4386252164840698, 'redshifts/mse_bin_1': 0.3613399863243103, 'redshifts/mse_bin_2': 0.2959262728691101, 'redshifts/mse_bin_3': 0.21679280698299408, 'redshifts/mse_bin_4': 0.22969235479831696, 'redshifts/mse_bin_5': 0.07460355758666992, 'redshifts/nmad': 0.11263710260391235, 'redshifts/nmad_bin_0': 0.21218308806419373, 'redshifts/nmad_bin_1': 0.1338668167591095, 'redshifts/nmad_bin_2': 0.08845404535531998, 'redshifts/nmad_bin_3': 0.07147126644849777, 'redshifts/nmad_bin_4': 0.06349202990531921, 'redshifts/nmad_bin_5': 0.03524921089410782, 'redshifts/outlier_fraction': 0.32731759548187256, 'redshifts/outlier_fraction_bin_0': 0.4892071485519409, 'redshifts/outlier_fraction_bin_1': 0.35564124584198, 'redshifts/outlier_fraction_bin_2': 0.26047414541244507, 'redshifts/outlier_fraction_bin_3': 0.19819341599941254, 'redshifts/outlier_fraction_bin_4': 0.18849557638168335, 'redshifts/outlier_fraction_bin_5': 0.09373833984136581, 'redshifts/outlier_fraction_cata': 0.08928759396076202, 'redshifts/outlier_fraction_cata_bin_0': 0.13364151120185852, 'redshifts/outlier_fraction_cata_bin_1': 0.09802214056253433, 'redshifts/outlier_fraction_cata_bin_2': 0.08066199719905853, 'redshifts/outlier_fraction_cata_bin_3': 0.056323058903217316, 'redshifts/outlier_fraction_cata_bin_4': 0.059292037039995193, 'redshifts/outlier_fraction_cata_bin_5': 0.017240092158317566}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1057/1563 [1:41:48<46:24, 5.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66499.])\n", + "total num of pts: tensor([24250., 16093., 6712., 3768., 2263., 13413.])\n", + "{'redshifts/bias_abs': 0.07601728290319443, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04257422685623169, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004723070655018091, 'redshifts/bias_bin_0': 0.02948729507625103, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00027111172676086426, 'redshifts/mse': 0.3126470446586609, 'redshifts/mse_bin_0': 0.43858546018600464, 'redshifts/mse_bin_1': 0.3621600568294525, 'redshifts/mse_bin_2': 0.29600274562835693, 'redshifts/mse_bin_3': 0.21660618484020233, 'redshifts/mse_bin_4': 0.22939595580101013, 'redshifts/mse_bin_5': 0.07490642368793488, 'redshifts/nmad': 0.11259288340806961, 'redshifts/nmad_bin_0': 0.2121482491493225, 'redshifts/nmad_bin_1': 0.13383008539676666, 'redshifts/nmad_bin_2': 0.08844934403896332, 'redshifts/nmad_bin_3': 0.07148700952529907, 'redshifts/nmad_bin_4': 0.06346830725669861, 'redshifts/nmad_bin_5': 0.035244375467300415, 'redshifts/outlier_fraction': 0.32728311419487, 'redshifts/outlier_fraction_bin_0': 0.4891546368598938, 'redshifts/outlier_fraction_bin_1': 0.35562044382095337, 'redshifts/outlier_fraction_bin_2': 0.26072704792022705, 'redshifts/outlier_fraction_bin_3': 0.1979830116033554, 'redshifts/outlier_fraction_bin_4': 0.18824569880962372, 'redshifts/outlier_fraction_bin_5': 0.09371504932641983, 'redshifts/outlier_fraction_cata': 0.08930961042642593, 'redshifts/outlier_fraction_cata_bin_0': 0.13364948332309723, 'redshifts/outlier_fraction_cata_bin_1': 0.09805505722761154, 'redshifts/outlier_fraction_cata_bin_2': 0.08075089752674103, 'redshifts/outlier_fraction_cata_bin_3': 0.056263267993927, 'redshifts/outlier_fraction_cata_bin_4': 0.05921343341469765, 'redshifts/outlier_fraction_cata_bin_5': 0.017296653240919113}\n", + "total num of pts: tensor([66552.])\n", + "total num of pts: tensor([24276., 16099., 6719., 3772., 2263., 13423.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1058/1563 [1:41:53<45:52, 5.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07602231949567795, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04257422685623169, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004733383189886808, 'redshifts/bias_bin_0': 0.029490379616618156, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00027564167976379395, 'redshifts/mse': 0.31261032819747925, 'redshifts/mse_bin_0': 0.43864619731903076, 'redshifts/mse_bin_1': 0.3620542883872986, 'redshifts/mse_bin_2': 0.29569536447525024, 'redshifts/mse_bin_3': 0.21653246879577637, 'redshifts/mse_bin_4': 0.22939595580101013, 'redshifts/mse_bin_5': 0.07486438006162643, 'redshifts/nmad': 0.11259792000055313, 'redshifts/nmad_bin_0': 0.21218308806419373, 'redshifts/nmad_bin_1': 0.13382446765899658, 'redshifts/nmad_bin_2': 0.08833061158657074, 'redshifts/nmad_bin_3': 0.07149911671876907, 'redshifts/nmad_bin_4': 0.06346830725669861, 'redshifts/nmad_bin_5': 0.03524039313197136, 'redshifts/outlier_fraction': 0.32732298970222473, 'redshifts/outlier_fraction_bin_0': 0.4892898201942444, 'redshifts/outlier_fraction_bin_1': 0.3556121587753296, 'redshifts/outlier_fraction_bin_2': 0.2604554295539856, 'redshifts/outlier_fraction_bin_3': 0.19803817570209503, 'redshifts/outlier_fraction_bin_4': 0.18824569880962372, 'redshifts/outlier_fraction_bin_5': 0.0937197357416153, 'redshifts/outlier_fraction_cata': 0.08929859101772308, 'redshifts/outlier_fraction_cata_bin_0': 0.1336711198091507, 'redshifts/outlier_fraction_cata_bin_1': 0.09801851212978363, 'redshifts/outlier_fraction_cata_bin_2': 0.08066676557064056, 'redshifts/outlier_fraction_cata_bin_3': 0.056203603744506836, 'redshifts/outlier_fraction_cata_bin_4': 0.05921343341469765, 'redshifts/outlier_fraction_cata_bin_5': 0.017283767461776733}\n", + "total num of pts: tensor([66604.])\n", + "total num of pts: tensor([24303., 16109., 6724., 3773., 2263., 13432.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1059/1563 [1:41:58<44:34, 5.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07602137327194214, 'redshifts/bias_abs_bin_0': 0.14496280252933502, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04257422685623169, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004711349029093981, 'redshifts/bias_bin_0': 0.02947801724076271, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.3125362992286682, 'redshifts/mse_bin_0': 0.43850773572921753, 'redshifts/mse_bin_1': 0.36196792125701904, 'redshifts/mse_bin_2': 0.2955542802810669, 'redshifts/mse_bin_3': 0.216475248336792, 'redshifts/mse_bin_4': 0.22939595580101013, 'redshifts/mse_bin_5': 0.07482048869132996, 'redshifts/nmad': 0.11260636895895004, 'redshifts/nmad_bin_0': 0.21218189597129822, 'redshifts/nmad_bin_1': 0.13381466269493103, 'redshifts/nmad_bin_2': 0.08828563988208771, 'redshifts/nmad_bin_3': 0.07149911671876907, 'redshifts/nmad_bin_4': 0.06346830725669861, 'redshifts/nmad_bin_5': 0.03524516150355339, 'redshifts/outlier_fraction': 0.32733771204948425, 'redshifts/outlier_fraction_bin_0': 0.489322304725647, 'redshifts/outlier_fraction_bin_1': 0.35557761788368225, 'redshifts/outlier_fraction_bin_2': 0.26041045784950256, 'redshifts/outlier_fraction_bin_3': 0.1979856938123703, 'redshifts/outlier_fraction_bin_4': 0.18824569880962372, 'redshifts/outlier_fraction_bin_5': 0.09365694224834442, 'redshifts/outlier_fraction_cata': 0.08928893506526947, 'redshifts/outlier_fraction_cata_bin_0': 0.13364605605602264, 'redshifts/outlier_fraction_cata_bin_1': 0.09801974147558212, 'redshifts/outlier_fraction_cata_bin_2': 0.08060678094625473, 'redshifts/outlier_fraction_cata_bin_3': 0.056188710033893585, 'redshifts/outlier_fraction_cata_bin_4': 0.05921343341469765, 'redshifts/outlier_fraction_cata_bin_5': 0.017272185534238815}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1060/1563 [1:42:05<48:08, 5.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66664.])\n", + "total num of pts: tensor([24325., 16125., 6732., 3775., 2264., 13443.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09052565693855286, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04257422685623169, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004701620899140835, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.31249940395355225, 'redshifts/mse_bin_0': 0.4385816156864166, 'redshifts/mse_bin_1': 0.36170029640197754, 'redshifts/mse_bin_2': 0.295693576335907, 'redshifts/mse_bin_3': 0.21636468172073364, 'redshifts/mse_bin_4': 0.2293022871017456, 'redshifts/mse_bin_5': 0.07476190477609634, 'redshifts/nmad': 0.11262083053588867, 'redshifts/nmad_bin_0': 0.21223118901252747, 'redshifts/nmad_bin_1': 0.13380885124206543, 'redshifts/nmad_bin_2': 0.08830194175243378, 'redshifts/nmad_bin_3': 0.07148700952529907, 'redshifts/nmad_bin_4': 0.06346830725669861, 'redshifts/nmad_bin_5': 0.03525147959589958, 'redshifts/outlier_fraction': 0.327313095331192, 'redshifts/outlier_fraction_bin_0': 0.4893730580806732, 'redshifts/outlier_fraction_bin_1': 0.3554108440876007, 'redshifts/outlier_fraction_bin_2': 0.26054665446281433, 'redshifts/outlier_fraction_bin_3': 0.1978807896375656, 'redshifts/outlier_fraction_bin_4': 0.18816255033016205, 'redshifts/outlier_fraction_bin_5': 0.09358030557632446, 'redshifts/outlier_fraction_cata': 0.08926857262849808, 'redshifts/outlier_fraction_cata_bin_0': 0.13364851474761963, 'redshifts/outlier_fraction_cata_bin_1': 0.09792248159646988, 'redshifts/outlier_fraction_cata_bin_2': 0.08065953850746155, 'redshifts/outlier_fraction_cata_bin_3': 0.056158941239118576, 'redshifts/outlier_fraction_cata_bin_4': 0.059187278151512146, 'redshifts/outlier_fraction_cata_bin_5': 0.01725805178284645}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1061/1563 [1:42:11<49:13, 5.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66731.])\n", + "total num of pts: tensor([24347., 16144., 6736., 3781., 2266., 13457.])\n", + "{'redshifts/bias_abs': 0.07608582079410553, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04263637587428093, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004710119683295488, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0002577905834186822, 'redshifts/mse': 0.3125084340572357, 'redshifts/mse_bin_0': 0.43866872787475586, 'redshifts/mse_bin_1': 0.3618183434009552, 'redshifts/mse_bin_2': 0.2955709397792816, 'redshifts/mse_bin_3': 0.21604031324386597, 'redshifts/mse_bin_4': 0.22917674481868744, 'redshifts/mse_bin_5': 0.07471302896738052, 'redshifts/nmad': 0.11264859884977341, 'redshifts/nmad_bin_0': 0.21228814125061035, 'redshifts/nmad_bin_1': 0.13386572897434235, 'redshifts/nmad_bin_2': 0.08833446353673935, 'redshifts/nmad_bin_3': 0.07148700952529907, 'redshifts/nmad_bin_4': 0.06349202990531921, 'redshifts/nmad_bin_5': 0.03526412323117256, 'redshifts/outlier_fraction': 0.3273291289806366, 'redshifts/outlier_fraction_bin_0': 0.4895058870315552, 'redshifts/outlier_fraction_bin_1': 0.35536423325538635, 'redshifts/outlier_fraction_bin_2': 0.2603919208049774, 'redshifts/outlier_fraction_bin_3': 0.19756677746772766, 'redshifts/outlier_fraction_bin_4': 0.18843777477741241, 'redshifts/outlier_fraction_bin_5': 0.0936315655708313, 'redshifts/outlier_fraction_cata': 0.08926885575056076, 'redshifts/outlier_fraction_cata_bin_0': 0.13369204103946686, 'redshifts/outlier_fraction_cata_bin_1': 0.09793111681938171, 'redshifts/outlier_fraction_cata_bin_2': 0.08061163872480392, 'redshifts/outlier_fraction_cata_bin_3': 0.05606982111930847, 'redshifts/outlier_fraction_cata_bin_4': 0.059135038405656815, 'redshifts/outlier_fraction_cata_bin_5': 0.017240097746253014}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1062/1563 [1:42:16<46:10, 5.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66787.])\n", + "total num of pts: tensor([24370., 16163., 6740., 3783., 2268., 13463.])\n", + "{'redshifts/bias_abs': 0.07606694102287292, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004708677530288696, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00027111172676086426, 'redshifts/mse': 0.3126142621040344, 'redshifts/mse_bin_0': 0.4387521743774414, 'redshifts/mse_bin_1': 0.3618301451206207, 'redshifts/mse_bin_2': 0.2960587441921234, 'redshifts/mse_bin_3': 0.21593046188354492, 'redshifts/mse_bin_4': 0.22935853898525238, 'redshifts/mse_bin_5': 0.07468090206384659, 'redshifts/nmad': 0.11263663321733475, 'redshifts/nmad_bin_0': 0.21227017045021057, 'redshifts/nmad_bin_1': 0.13376659154891968, 'redshifts/nmad_bin_2': 0.08832268416881561, 'redshifts/nmad_bin_3': 0.07148700952529907, 'redshifts/nmad_bin_4': 0.06350913643836975, 'redshifts/nmad_bin_5': 0.03524710610508919, 'redshifts/outlier_fraction': 0.3273690938949585, 'redshifts/outlier_fraction_bin_0': 0.489536315202713, 'redshifts/outlier_fraction_bin_1': 0.35531771183013916, 'redshifts/outlier_fraction_bin_2': 0.2605341374874115, 'redshifts/outlier_fraction_bin_3': 0.19746233522891998, 'redshifts/outlier_fraction_bin_4': 0.18871252238750458, 'redshifts/outlier_fraction_bin_5': 0.09358984231948853, 'redshifts/outlier_fraction_cata': 0.08929881453514099, 'redshifts/outlier_fraction_cata_bin_0': 0.13368895649909973, 'redshifts/outlier_fraction_cata_bin_1': 0.09800160676240921, 'redshifts/outlier_fraction_cata_bin_2': 0.08071216940879822, 'redshifts/outlier_fraction_cata_bin_3': 0.05604017898440361, 'redshifts/outlier_fraction_cata_bin_4': 0.059082891792058945, 'redshifts/outlier_fraction_cata_bin_5': 0.017232414335012436}\n", + "total num of pts: tensor([66839.])\n", + "total num of pts: tensor([24395., 16176., 6744., 3784., 2269., 13471.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1063/1563 [1:42:22<46:26, 5.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07608651369810104, 'redshifts/bias_abs_bin_0': 0.14513668417930603, 'redshifts/bias_abs_bin_1': 0.09047881513834, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004711349029093981, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00027111172676086426, 'redshifts/mse': 0.3125799000263214, 'redshifts/mse_bin_0': 0.4387831687927246, 'redshifts/mse_bin_1': 0.36164382100105286, 'redshifts/mse_bin_2': 0.2959059178829193, 'redshifts/mse_bin_3': 0.21591483056545258, 'redshifts/mse_bin_4': 0.2292574942111969, 'redshifts/mse_bin_5': 0.0746539831161499, 'redshifts/nmad': 0.11264779418706894, 'redshifts/nmad_bin_0': 0.2123236209154129, 'redshifts/nmad_bin_1': 0.133704274892807, 'redshifts/nmad_bin_2': 0.0882757306098938, 'redshifts/nmad_bin_3': 0.07148700952529907, 'redshifts/nmad_bin_4': 0.06353461742401123, 'redshifts/nmad_bin_5': 0.03524710610508919, 'redshifts/outlier_fraction': 0.3273986876010895, 'redshifts/outlier_fraction_bin_0': 0.48969051241874695, 'redshifts/outlier_fraction_bin_1': 0.3551557958126068, 'redshifts/outlier_fraction_bin_2': 0.2605278789997101, 'redshifts/outlier_fraction_bin_3': 0.19741015136241913, 'redshifts/outlier_fraction_bin_4': 0.1886293590068817, 'redshifts/outlier_fraction_bin_5': 0.09353426098823547, 'redshifts/outlier_fraction_cata': 0.08927422761917114, 'redshifts/outlier_fraction_cata_bin_0': 0.13367493450641632, 'redshifts/outlier_fraction_cata_bin_1': 0.09792284667491913, 'redshifts/outlier_fraction_cata_bin_2': 0.08066429197788239, 'redshifts/outlier_fraction_cata_bin_3': 0.056025370955467224, 'redshifts/outlier_fraction_cata_bin_4': 0.059056852012872696, 'redshifts/outlier_fraction_cata_bin_5': 0.01722218096256256}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1064/1563 [1:42:27<45:13, 5.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66898.])\n", + "total num of pts: tensor([24413., 16191., 6754., 3786., 2270., 13484.])\n", + "{'redshifts/bias_abs': 0.07606694102287292, 'redshifts/bias_abs_bin_0': 0.14517082273960114, 'redshifts/bias_abs_bin_1': 0.09043076634407043, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.04263637587428093, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004711349029093981, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0002751648426055908, 'redshifts/mse': 0.3125360310077667, 'redshifts/mse_bin_0': 0.43870335817337036, 'redshifts/mse_bin_1': 0.3618754744529724, 'redshifts/mse_bin_2': 0.2955171763896942, 'redshifts/mse_bin_3': 0.21580499410629272, 'redshifts/mse_bin_4': 0.2291574627161026, 'redshifts/mse_bin_5': 0.0745844915509224, 'redshifts/nmad': 0.11261641979217529, 'redshifts/nmad_bin_0': 0.21231727302074432, 'redshifts/nmad_bin_1': 0.13375575840473175, 'redshifts/nmad_bin_2': 0.08829909563064575, 'redshifts/nmad_bin_3': 0.07148337364196777, 'redshifts/nmad_bin_4': 0.06349202990531921, 'redshifts/nmad_bin_5': 0.03523384407162666, 'redshifts/outlier_fraction': 0.32733413577079773, 'redshifts/outlier_fraction_bin_0': 0.4896981120109558, 'redshifts/outlier_fraction_bin_1': 0.35513556003570557, 'redshifts/outlier_fraction_bin_2': 0.2602902054786682, 'redshifts/outlier_fraction_bin_3': 0.1973058581352234, 'redshifts/outlier_fraction_bin_4': 0.18854625523090363, 'redshifts/outlier_fraction_bin_5': 0.09344407916069031, 'redshifts/outlier_fraction_cata': 0.08925528079271317, 'redshifts/outlier_fraction_cata_bin_0': 0.1336173415184021, 'redshifts/outlier_fraction_cata_bin_1': 0.09801741689443588, 'redshifts/outlier_fraction_cata_bin_2': 0.0805448591709137, 'redshifts/outlier_fraction_cata_bin_3': 0.055995773524045944, 'redshifts/outlier_fraction_cata_bin_4': 0.059030838310718536, 'redshifts/outlier_fraction_cata_bin_5': 0.017205577343702316}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1065/1563 [1:42:33<46:35, 5.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([66959.])\n", + "total num of pts: tensor([24436., 16206., 6763., 3789., 2271., 13494.])\n", + "{'redshifts/bias_abs': 0.07605617493391037, 'redshifts/bias_abs_bin_0': 0.14513668417930603, 'redshifts/bias_abs_bin_1': 0.0903375893831253, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004723070655018091, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.3123742341995239, 'redshifts/mse_bin_0': 0.4384579360485077, 'redshifts/mse_bin_1': 0.3617098033428192, 'redshifts/mse_bin_2': 0.2951817214488983, 'redshifts/mse_bin_3': 0.2158612608909607, 'redshifts/mse_bin_4': 0.22906099259853363, 'redshifts/mse_bin_5': 0.07453900575637817, 'redshifts/nmad': 0.11259904503822327, 'redshifts/nmad_bin_0': 0.21229079365730286, 'redshifts/nmad_bin_1': 0.1337350755929947, 'redshifts/nmad_bin_2': 0.08833446353673935, 'redshifts/nmad_bin_3': 0.07148700952529907, 'redshifts/nmad_bin_4': 0.06351638585329056, 'redshifts/nmad_bin_5': 0.03522804006934166, 'redshifts/outlier_fraction': 0.327274888753891, 'redshifts/outlier_fraction_bin_0': 0.48964643478393555, 'redshifts/outlier_fraction_bin_1': 0.35505369305610657, 'redshifts/outlier_fraction_bin_2': 0.25994381308555603, 'redshifts/outlier_fraction_bin_3': 0.19741356372833252, 'redshifts/outlier_fraction_bin_4': 0.1884632259607315, 'redshifts/outlier_fraction_bin_5': 0.0934489369392395, 'redshifts/outlier_fraction_cata': 0.08918890357017517, 'redshifts/outlier_fraction_cata_bin_0': 0.13349157571792603, 'redshifts/outlier_fraction_cata_bin_1': 0.09798839688301086, 'redshifts/outlier_fraction_cata_bin_2': 0.08043767511844635, 'redshifts/outlier_fraction_cata_bin_3': 0.05595143884420395, 'redshifts/outlier_fraction_cata_bin_4': 0.05900484323501587, 'redshifts/outlier_fraction_cata_bin_5': 0.01719282567501068}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1066/1563 [1:42:41<52:19, 6.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67022.])\n", + "total num of pts: tensor([24456., 16221., 6768., 3795., 2273., 13509.])\n", + "{'redshifts/bias_abs': 0.07602231949567795, 'redshifts/bias_abs_bin_0': 0.14513668417930603, 'redshifts/bias_abs_bin_1': 0.09031946957111359, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004700779914855957, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.31252196431159973, 'redshifts/mse_bin_0': 0.43867579102516174, 'redshifts/mse_bin_1': 0.3615638017654419, 'redshifts/mse_bin_2': 0.2949742078781128, 'redshifts/mse_bin_3': 0.21558856964111328, 'redshifts/mse_bin_4': 0.2322435826063156, 'redshifts/mse_bin_5': 0.07478202134370804, 'redshifts/nmad': 0.1125878095626831, 'redshifts/nmad_bin_0': 0.2122846096754074, 'redshifts/nmad_bin_1': 0.13372047245502472, 'redshifts/nmad_bin_2': 0.0882306694984436, 'redshifts/nmad_bin_3': 0.07144298404455185, 'redshifts/nmad_bin_4': 0.06351638585329056, 'redshifts/nmad_bin_5': 0.03525649756193161, 'redshifts/outlier_fraction': 0.3272358477115631, 'redshifts/outlier_fraction_bin_0': 0.48961400985717773, 'redshifts/outlier_fraction_bin_1': 0.3549719452857971, 'redshifts/outlier_fraction_bin_2': 0.2597517669200897, 'redshifts/outlier_fraction_bin_3': 0.1973649561405182, 'redshifts/outlier_fraction_bin_4': 0.18873734772205353, 'redshifts/outlier_fraction_bin_5': 0.09356725215911865, 'redshifts/outlier_fraction_cata': 0.08920951187610626, 'redshifts/outlier_fraction_cata_bin_0': 0.13354596495628357, 'redshifts/outlier_fraction_cata_bin_1': 0.09795943647623062, 'redshifts/outlier_fraction_cata_bin_2': 0.08037824928760529, 'redshifts/outlier_fraction_cata_bin_3': 0.05586297810077667, 'redshifts/outlier_fraction_cata_bin_4': 0.05939287319779396, 'redshifts/outlier_fraction_cata_bin_5': 0.01724776066839695}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1067/1563 [1:42:47<50:44, 6.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67083.])\n", + "total num of pts: tensor([24479., 16234., 6775., 3799., 2274., 13522.])\n", + "{'redshifts/bias_abs': 0.07606694102287292, 'redshifts/bias_abs_bin_0': 0.14522893726825714, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04745540767908096, 'redshifts/bias_abs_bin_4': 0.04263637587428093, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.00470927357673645, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.312533438205719, 'redshifts/mse_bin_0': 0.4388807415962219, 'redshifts/mse_bin_1': 0.3614199459552765, 'redshifts/mse_bin_2': 0.2947571873664856, 'redshifts/mse_bin_3': 0.21573422849178314, 'redshifts/mse_bin_4': 0.23214152455329895, 'redshifts/mse_bin_5': 0.07473587244749069, 'redshifts/nmad': 0.11261950433254242, 'redshifts/nmad_bin_0': 0.21231766045093536, 'redshifts/nmad_bin_1': 0.13367518782615662, 'redshifts/nmad_bin_2': 0.0882757306098938, 'redshifts/nmad_bin_3': 0.07149538397789001, 'redshifts/nmad_bin_4': 0.06351026892662048, 'redshifts/nmad_bin_5': 0.03526851162314415, 'redshifts/outlier_fraction': 0.32732585072517395, 'redshifts/outlier_fraction_bin_0': 0.4897667467594147, 'redshifts/outlier_fraction_bin_1': 0.3549956977367401, 'redshifts/outlier_fraction_bin_2': 0.25977858901023865, 'redshifts/outlier_fraction_bin_3': 0.19768360257148743, 'redshifts/outlier_fraction_bin_4': 0.1886543482542038, 'redshifts/outlier_fraction_bin_5': 0.09362520277500153, 'redshifts/outlier_fraction_cata': 0.08918802440166473, 'redshifts/outlier_fraction_cata_bin_0': 0.13354304432868958, 'redshifts/outlier_fraction_cata_bin_1': 0.09788098931312561, 'redshifts/outlier_fraction_cata_bin_2': 0.08029520511627197, 'redshifts/outlier_fraction_cata_bin_3': 0.05606738477945328, 'redshifts/outlier_fraction_cata_bin_4': 0.059366755187511444, 'redshifts/outlier_fraction_cata_bin_5': 0.017231179401278496}\n", + "total num of pts: tensor([67142.])\n", + "total num of pts: tensor([24508., 16246., 6778., 3802., 2277., 13531.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1068/1563 [1:42:53<52:29, 6.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07606246322393417, 'redshifts/bias_abs_bin_0': 0.14522893726825714, 'redshifts/bias_abs_bin_1': 0.09019730240106583, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.00470927357673645, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.3126230239868164, 'redshifts/mse_bin_0': 0.43886348605155945, 'redshifts/mse_bin_1': 0.36142152547836304, 'redshifts/mse_bin_2': 0.2946305572986603, 'redshifts/mse_bin_3': 0.21557214856147766, 'redshifts/mse_bin_4': 0.23415514826774597, 'redshifts/mse_bin_5': 0.07486724853515625, 'redshifts/nmad': 0.11261950433254242, 'redshifts/nmad_bin_0': 0.2123313546180725, 'redshifts/nmad_bin_1': 0.13366173207759857, 'redshifts/nmad_bin_2': 0.08830194175243378, 'redshifts/nmad_bin_3': 0.07144510000944138, 'redshifts/nmad_bin_4': 0.06353461742401123, 'redshifts/nmad_bin_5': 0.03530809283256531, 'redshifts/outlier_fraction': 0.3273658752441406, 'redshifts/outlier_fraction_bin_0': 0.48979926109313965, 'redshifts/outlier_fraction_bin_1': 0.3549796938896179, 'redshifts/outlier_fraction_bin_2': 0.2596636116504669, 'redshifts/outlier_fraction_bin_3': 0.19752761721611023, 'redshifts/outlier_fraction_bin_4': 0.1888449788093567, 'redshifts/outlier_fraction_bin_5': 0.09371073544025421, 'redshifts/outlier_fraction_cata': 0.08921390771865845, 'redshifts/outlier_fraction_cata_bin_0': 0.13350743055343628, 'redshifts/outlier_fraction_cata_bin_1': 0.09787024557590485, 'redshifts/outlier_fraction_cata_bin_2': 0.08025966584682465, 'redshifts/outlier_fraction_cata_bin_3': 0.05602314695715904, 'redshifts/outlier_fraction_cata_bin_4': 0.05972771346569061, 'redshifts/outlier_fraction_cata_bin_5': 0.01736752688884735}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1069/1563 [1:42:59<49:49, 6.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67204.])\n", + "total num of pts: tensor([24531., 16260., 6781., 3808., 2277., 13547.])\n", + "{'redshifts/bias_abs': 0.07602231949567795, 'redshifts/bias_abs_bin_0': 0.145175039768219, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04745540767908096, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004701620899140835, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.31260421872138977, 'redshifts/mse_bin_0': 0.4387121796607971, 'redshifts/mse_bin_1': 0.36149704456329346, 'redshifts/mse_bin_2': 0.2946016192436218, 'redshifts/mse_bin_3': 0.21600526571273804, 'redshifts/mse_bin_4': 0.23415514826774597, 'redshifts/mse_bin_5': 0.07491303235292435, 'redshifts/nmad': 0.1125919446349144, 'redshifts/nmad_bin_0': 0.21234208345413208, 'redshifts/nmad_bin_1': 0.133630633354187, 'redshifts/nmad_bin_2': 0.08829909563064575, 'redshifts/nmad_bin_3': 0.07149538397789001, 'redshifts/nmad_bin_4': 0.06353461742401123, 'redshifts/nmad_bin_5': 0.03526851162314415, 'redshifts/outlier_fraction': 0.3273763358592987, 'redshifts/outlier_fraction_bin_0': 0.48974767327308655, 'redshifts/outlier_fraction_bin_1': 0.35498154163360596, 'redshifts/outlier_fraction_bin_2': 0.25969621539115906, 'redshifts/outlier_fraction_bin_3': 0.19800420105457306, 'redshifts/outlier_fraction_bin_4': 0.1888449788093567, 'redshifts/outlier_fraction_bin_5': 0.09374769032001495, 'redshifts/outlier_fraction_cata': 0.08922088146209717, 'redshifts/outlier_fraction_cata_bin_0': 0.1334637850522995, 'redshifts/outlier_fraction_cata_bin_1': 0.09790898114442825, 'redshifts/outlier_fraction_cata_bin_2': 0.08022415637969971, 'redshifts/outlier_fraction_cata_bin_3': 0.056197479367256165, 'redshifts/outlier_fraction_cata_bin_4': 0.05972771346569061, 'redshifts/outlier_fraction_cata_bin_5': 0.017420832067728043}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 68%|██████▊ | 1070/1563 [1:43:06<53:05, 6.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67260.])\n", + "total num of pts: tensor([24553., 16274., 6786., 3811., 2278., 13558.])\n", + "{'redshifts/bias_abs': 0.07605617493391037, 'redshifts/bias_abs_bin_0': 0.14517082273960114, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04745540767908096, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004733380861580372, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.011133014224469662, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.3125905990600586, 'redshifts/mse_bin_0': 0.43858546018600464, 'redshifts/mse_bin_1': 0.3613619804382324, 'redshifts/mse_bin_2': 0.2946707606315613, 'redshifts/mse_bin_3': 0.21585260331630707, 'redshifts/mse_bin_4': 0.23614630103111267, 'redshifts/mse_bin_5': 0.07488217949867249, 'redshifts/nmad': 0.11259470134973526, 'redshifts/nmad_bin_0': 0.2123054414987564, 'redshifts/nmad_bin_1': 0.13361573219299316, 'redshifts/nmad_bin_2': 0.08829909563064575, 'redshifts/nmad_bin_3': 0.07148398458957672, 'redshifts/nmad_bin_4': 0.06353461742401123, 'redshifts/nmad_bin_5': 0.03529197350144386, 'redshifts/outlier_fraction': 0.32737138867378235, 'redshifts/outlier_fraction_bin_0': 0.489716112613678, 'redshifts/outlier_fraction_bin_1': 0.3549834191799164, 'redshifts/outlier_fraction_bin_2': 0.2596522271633148, 'redshifts/outlier_fraction_bin_3': 0.1978483349084854, 'redshifts/outlier_fraction_bin_4': 0.18920105695724487, 'redshifts/outlier_fraction_bin_5': 0.0937453880906105, 'redshifts/outlier_fraction_cata': 0.08920606970787048, 'redshifts/outlier_fraction_cata_bin_0': 0.13338492810726166, 'redshifts/outlier_fraction_cata_bin_1': 0.09788619726896286, 'redshifts/outlier_fraction_cata_bin_2': 0.08031240850687027, 'redshifts/outlier_fraction_cata_bin_3': 0.05615324154496193, 'redshifts/outlier_fraction_cata_bin_4': 0.06014047563076019, 'redshifts/outlier_fraction_cata_bin_5': 0.01740669645369053}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▊ | 1071/1563 [1:43:12<52:02, 6.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67316.])\n", + "total num of pts: tensor([24573., 16283., 6793., 3814., 2280., 13573.])\n", + "{'redshifts/bias_abs': 0.07602137327194214, 'redshifts/bias_abs_bin_0': 0.14523199200630188, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04267844185233116, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.00474798958748579, 'redshifts/bias_bin_0': 0.02941272407770157, 'redshifts/bias_bin_1': 0.011133978143334389, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0003161541826557368, 'redshifts/mse': 0.3126903474330902, 'redshifts/mse_bin_0': 0.43895453214645386, 'redshifts/mse_bin_1': 0.3613854646682739, 'redshifts/mse_bin_2': 0.29474928975105286, 'redshifts/mse_bin_3': 0.21569760143756866, 'redshifts/mse_bin_4': 0.23595324158668518, 'redshifts/mse_bin_5': 0.07480336725711823, 'redshifts/nmad': 0.11256210505962372, 'redshifts/nmad_bin_0': 0.21232330799102783, 'redshifts/nmad_bin_1': 0.13361431658267975, 'redshifts/nmad_bin_2': 0.08828563988208771, 'redshifts/nmad_bin_3': 0.07146678864955902, 'redshifts/nmad_bin_4': 0.06353461742401123, 'redshifts/nmad_bin_5': 0.03529461473226547, 'redshifts/outlier_fraction': 0.32738131284713745, 'redshifts/outlier_fraction_bin_0': 0.4898872673511505, 'redshifts/outlier_fraction_bin_1': 0.35503286123275757, 'redshifts/outlier_fraction_bin_2': 0.2595318853855133, 'redshifts/outlier_fraction_bin_3': 0.19769270718097687, 'redshifts/outlier_fraction_bin_4': 0.1890350878238678, 'redshifts/outlier_fraction_bin_5': 0.09364178776741028, 'redshifts/outlier_fraction_cata': 0.08923584222793579, 'redshifts/outlier_fraction_cata_bin_0': 0.13347983360290527, 'redshifts/outlier_fraction_cata_bin_1': 0.09789350628852844, 'redshifts/outlier_fraction_cata_bin_2': 0.08037685602903366, 'redshifts/outlier_fraction_cata_bin_3': 0.056109070777893066, 'redshifts/outlier_fraction_cata_bin_4': 0.060087718069553375, 'redshifts/outlier_fraction_cata_bin_5': 0.01738746091723442}\n", + "total num of pts: tensor([67379.])\n", + "total num of pts: tensor([24593., 16306., 6802., 3815., 2281., 13582.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▊ | 1072/1563 [1:43:17<49:12, 6.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07602231949567795, 'redshifts/bias_abs_bin_0': 0.14522893726825714, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.042799871414899826, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004728348460048437, 'redshifts/bias_bin_0': 0.02941272407770157, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.3125782608985901, 'redshifts/mse_bin_0': 0.4388848841190338, 'redshifts/mse_bin_1': 0.3610849976539612, 'redshifts/mse_bin_2': 0.2943894863128662, 'redshifts/mse_bin_3': 0.2156410664319992, 'redshifts/mse_bin_4': 0.23585918545722961, 'redshifts/mse_bin_5': 0.07486000657081604, 'redshifts/nmad': 0.11257782578468323, 'redshifts/nmad_bin_0': 0.21232260763645172, 'redshifts/nmad_bin_1': 0.13366173207759857, 'redshifts/nmad_bin_2': 0.08821363747119904, 'redshifts/nmad_bin_3': 0.07144510000944138, 'redshifts/nmad_bin_4': 0.06356307864189148, 'redshifts/nmad_bin_5': 0.03529197350144386, 'redshifts/outlier_fraction': 0.32734236121177673, 'redshifts/outlier_fraction_bin_0': 0.4898141622543335, 'redshifts/outlier_fraction_bin_1': 0.35502269864082336, 'redshifts/outlier_fraction_bin_2': 0.2591884732246399, 'redshifts/outlier_fraction_bin_3': 0.19764089584350586, 'redshifts/outlier_fraction_bin_4': 0.18895220756530762, 'redshifts/outlier_fraction_bin_5': 0.0937269926071167, 'redshifts/outlier_fraction_cata': 0.08919692784547806, 'redshifts/outlier_fraction_cata_bin_0': 0.1334526091814041, 'redshifts/outlier_fraction_cata_bin_1': 0.09775542467832565, 'redshifts/outlier_fraction_cata_bin_2': 0.08027050644159317, 'redshifts/outlier_fraction_cata_bin_3': 0.05609436333179474, 'redshifts/outlier_fraction_cata_bin_4': 0.06006137654185295, 'redshifts/outlier_fraction_cata_bin_5': 0.01744956523180008}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▊ | 1073/1563 [1:43:22<46:16, 5.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67433.])\n", + "total num of pts: tensor([24615., 16316., 6804., 3815., 2283., 13600.])\n", + "{'redshifts/bias_abs': 0.07600955665111542, 'redshifts/bias_abs_bin_0': 0.14517082273960114, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04267844185233116, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.00472714239731431, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00027564167976379395, 'redshifts/mse': 0.3124966621398926, 'redshifts/mse_bin_0': 0.438709557056427, 'redshifts/mse_bin_1': 0.3612169921398163, 'redshifts/mse_bin_2': 0.2943108081817627, 'redshifts/mse_bin_3': 0.2156410664319992, 'redshifts/mse_bin_4': 0.23565401136875153, 'redshifts/mse_bin_5': 0.07477675378322601, 'redshifts/nmad': 0.11255234479904175, 'redshifts/nmad_bin_0': 0.21229690313339233, 'redshifts/nmad_bin_1': 0.13366173207759857, 'redshifts/nmad_bin_2': 0.08821363747119904, 'redshifts/nmad_bin_3': 0.07144510000944138, 'redshifts/nmad_bin_4': 0.06351638585329056, 'redshifts/nmad_bin_5': 0.03526303172111511, 'redshifts/outlier_fraction': 0.3272581696510315, 'redshifts/outlier_fraction_bin_0': 0.4897420406341553, 'redshifts/outlier_fraction_bin_1': 0.3549889624118805, 'redshifts/outlier_fraction_bin_2': 0.25911229848861694, 'redshifts/outlier_fraction_bin_3': 0.19764089584350586, 'redshifts/outlier_fraction_bin_4': 0.18878668546676636, 'redshifts/outlier_fraction_bin_5': 0.09360294044017792, 'redshifts/outlier_fraction_cata': 0.08916999399662018, 'redshifts/outlier_fraction_cata_bin_0': 0.13337396085262299, 'redshifts/outlier_fraction_cata_bin_1': 0.09781809151172638, 'redshifts/outlier_fraction_cata_bin_2': 0.08024691045284271, 'redshifts/outlier_fraction_cata_bin_3': 0.05609436333179474, 'redshifts/outlier_fraction_cata_bin_4': 0.060008760541677475, 'redshifts/outlier_fraction_cata_bin_5': 0.017426470294594765}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▊ | 1074/1563 [1:43:27<44:32, 5.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67493.])\n", + "total num of pts: tensor([24639., 16328., 6810., 3820., 2288., 13608.])\n", + "{'redshifts/bias_abs': 0.07600503414869308, 'redshifts/bias_abs_bin_0': 0.14515411853790283, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.04267844185233116, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004744112491607666, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.31243860721588135, 'redshifts/mse_bin_0': 0.438626766204834, 'redshifts/mse_bin_1': 0.36129844188690186, 'redshifts/mse_bin_2': 0.2941010892391205, 'redshifts/mse_bin_3': 0.2153742015361786, 'redshifts/mse_bin_4': 0.2352558970451355, 'redshifts/mse_bin_5': 0.07473389059305191, 'redshifts/nmad': 0.11255170404911041, 'redshifts/nmad_bin_0': 0.21229690313339233, 'redshifts/nmad_bin_1': 0.13359758257865906, 'redshifts/nmad_bin_2': 0.08825168013572693, 'redshifts/nmad_bin_3': 0.07144871354103088, 'redshifts/nmad_bin_4': 0.06351638585329056, 'redshifts/nmad_bin_5': 0.03526218980550766, 'redshifts/outlier_fraction': 0.32720431685447693, 'redshifts/outlier_fraction_bin_0': 0.4897114336490631, 'redshifts/outlier_fraction_bin_1': 0.35491180419921875, 'redshifts/outlier_fraction_bin_2': 0.25903084874153137, 'redshifts/outlier_fraction_bin_3': 0.19738219678401947, 'redshifts/outlier_fraction_bin_4': 0.18881118297576904, 'redshifts/outlier_fraction_bin_5': 0.09354791045188904, 'redshifts/outlier_fraction_cata': 0.08913516998291016, 'redshifts/outlier_fraction_cata_bin_0': 0.1333252191543579, 'redshifts/outlier_fraction_cata_bin_1': 0.09780744463205338, 'redshifts/outlier_fraction_cata_bin_2': 0.0801762118935585, 'redshifts/outlier_fraction_cata_bin_3': 0.05602094158530235, 'redshifts/outlier_fraction_cata_bin_4': 0.05987762287259102, 'redshifts/outlier_fraction_cata_bin_5': 0.017416225746273994}\n", + "total num of pts: tensor([67556.])\n", + "total num of pts: tensor([24663., 16347., 6816., 3820., 2292., 13618.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1075/1563 [1:43:33<44:33, 5.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07601728290319443, 'redshifts/bias_abs_bin_0': 0.14515411853790283, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004766502417623997, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00027564167976379395, 'redshifts/mse': 0.31252413988113403, 'redshifts/mse_bin_0': 0.43880805373191833, 'redshifts/mse_bin_1': 0.36127227544784546, 'redshifts/mse_bin_2': 0.2940218448638916, 'redshifts/mse_bin_3': 0.2153742015361786, 'redshifts/mse_bin_4': 0.23595254123210907, 'redshifts/mse_bin_5': 0.07469828426837921, 'redshifts/nmad': 0.11255090683698654, 'redshifts/nmad_bin_0': 0.21227510273456573, 'redshifts/nmad_bin_1': 0.13363432884216309, 'redshifts/nmad_bin_2': 0.08826345950365067, 'redshifts/nmad_bin_3': 0.07144871354103088, 'redshifts/nmad_bin_4': 0.06362763792276382, 'redshifts/nmad_bin_5': 0.03526303172111511, 'redshifts/outlier_fraction': 0.327284038066864, 'redshifts/outlier_fraction_bin_0': 0.4897214472293854, 'redshifts/outlier_fraction_bin_1': 0.354988694190979, 'redshifts/outlier_fraction_bin_2': 0.25909623503685, 'redshifts/outlier_fraction_bin_3': 0.19738219678401947, 'redshifts/outlier_fraction_bin_4': 0.18979057669639587, 'redshifts/outlier_fraction_bin_5': 0.09355264902114868, 'redshifts/outlier_fraction_cata': 0.08917046338319778, 'redshifts/outlier_fraction_cata_bin_0': 0.13335765898227692, 'redshifts/outlier_fraction_cata_bin_1': 0.09787728637456894, 'redshifts/outlier_fraction_cata_bin_2': 0.08010563254356384, 'redshifts/outlier_fraction_cata_bin_3': 0.05602094158530235, 'redshifts/outlier_fraction_cata_bin_4': 0.060209423303604126, 'redshifts/outlier_fraction_cata_bin_5': 0.017403436824679375}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1076/1563 [1:43:38<43:53, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67619.])\n", + "total num of pts: tensor([24688., 16362., 6822., 3823., 2294., 13630.])\n", + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.14522893726825714, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004770112689584494, 'redshifts/bias_bin_0': 0.02947801724076271, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.31261011958122253, 'redshifts/mse_bin_0': 0.4392191469669342, 'redshifts/mse_bin_1': 0.3610254228115082, 'redshifts/mse_bin_2': 0.29384148120880127, 'redshifts/mse_bin_3': 0.21521073579788208, 'redshifts/mse_bin_4': 0.2367691844701767, 'redshifts/mse_bin_5': 0.07464022189378738, 'redshifts/nmad': 0.1125902533531189, 'redshifts/nmad_bin_0': 0.21238523721694946, 'redshifts/nmad_bin_1': 0.1334308683872223, 'redshifts/nmad_bin_2': 0.08827041834592819, 'redshifts/nmad_bin_3': 0.07144871354103088, 'redshifts/nmad_bin_4': 0.06367149949073792, 'redshifts/nmad_bin_5': 0.03528411313891411, 'redshifts/outlier_fraction': 0.3273044526576996, 'redshifts/outlier_fraction_bin_0': 0.48987361788749695, 'redshifts/outlier_fraction_bin_1': 0.3548465967178345, 'redshifts/outlier_fraction_bin_2': 0.2591615319252014, 'redshifts/outlier_fraction_bin_3': 0.19722731411457062, 'redshifts/outlier_fraction_bin_4': 0.1900610327720642, 'redshifts/outlier_fraction_bin_5': 0.09347028285264969, 'redshifts/outlier_fraction_cata': 0.08920569717884064, 'redshifts/outlier_fraction_cata_bin_0': 0.1335061639547348, 'redshifts/outlier_fraction_cata_bin_1': 0.09778755903244019, 'redshifts/outlier_fraction_cata_bin_2': 0.08003517985343933, 'redshifts/outlier_fraction_cata_bin_3': 0.0559769831597805, 'redshifts/outlier_fraction_cata_bin_4': 0.06059285253286362, 'redshifts/outlier_fraction_cata_bin_5': 0.0173881147056818}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1077/1563 [1:43:44<45:20, 5.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67668.])\n", + "total num of pts: tensor([24701., 16380., 6828., 3824., 2295., 13640.])\n", + "{'redshifts/bias_abs': 0.07602137327194214, 'redshifts/bias_abs_bin_0': 0.14515411853790283, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004761363845318556, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00027564167976379395, 'redshifts/mse': 0.3125388026237488, 'redshifts/mse_bin_0': 0.4391053020954132, 'redshifts/mse_bin_1': 0.36106452345848083, 'redshifts/mse_bin_2': 0.2936077117919922, 'redshifts/mse_bin_3': 0.2152000516653061, 'redshifts/mse_bin_4': 0.2367083579301834, 'redshifts/mse_bin_5': 0.07458660006523132, 'redshifts/nmad': 0.1125585287809372, 'redshifts/nmad_bin_0': 0.21229396760463715, 'redshifts/nmad_bin_1': 0.1335146129131317, 'redshifts/nmad_bin_2': 0.08828219771385193, 'redshifts/nmad_bin_3': 0.07141977548599243, 'redshifts/nmad_bin_4': 0.0637395977973938, 'redshifts/nmad_bin_5': 0.035239752382040024, 'redshifts/outlier_fraction': 0.3272595703601837, 'redshifts/outlier_fraction_bin_0': 0.48973727226257324, 'redshifts/outlier_fraction_bin_1': 0.3549450635910034, 'redshifts/outlier_fraction_bin_2': 0.25908026099205017, 'redshifts/outlier_fraction_bin_3': 0.19743724167346954, 'redshifts/outlier_fraction_bin_4': 0.1899782121181488, 'redshifts/outlier_fraction_bin_5': 0.09340175986289978, 'redshifts/outlier_fraction_cata': 0.089214988052845, 'redshifts/outlier_fraction_cata_bin_0': 0.13351686298847198, 'redshifts/outlier_fraction_cata_bin_1': 0.09786324948072433, 'redshifts/outlier_fraction_cata_bin_2': 0.07996485382318497, 'redshifts/outlier_fraction_cata_bin_3': 0.05596234276890755, 'redshifts/outlier_fraction_cata_bin_4': 0.06056644767522812, 'redshifts/outlier_fraction_cata_bin_5': 0.017375366762280464}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1078/1563 [1:43:49<44:03, 5.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67733.])\n", + "total num of pts: tensor([24728., 16396., 6836., 3824., 2296., 13653.])\n", + "{'redshifts/bias_abs': 0.07600955665111542, 'redshifts/bias_abs_bin_0': 0.14513668417930603, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004766502417623997, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.00027564167976379395, 'redshifts/mse': 0.3125956058502197, 'redshifts/mse_bin_0': 0.43927201628685, 'redshifts/mse_bin_1': 0.36077821254730225, 'redshifts/mse_bin_2': 0.2938922345638275, 'redshifts/mse_bin_3': 0.2152000516653061, 'redshifts/mse_bin_4': 0.23772071301937103, 'redshifts/mse_bin_5': 0.07453339546918869, 'redshifts/nmad': 0.11254479736089706, 'redshifts/nmad_bin_0': 0.2122977077960968, 'redshifts/nmad_bin_1': 0.13343559205532074, 'redshifts/nmad_bin_2': 0.08823148906230927, 'redshifts/nmad_bin_3': 0.07141977548599243, 'redshifts/nmad_bin_4': 0.06373168528079987, 'redshifts/nmad_bin_5': 0.03525671362876892, 'redshifts/outlier_fraction': 0.32724079489707947, 'redshifts/outlier_fraction_bin_0': 0.48968780040740967, 'redshifts/outlier_fraction_bin_1': 0.3547816574573517, 'redshifts/outlier_fraction_bin_2': 0.25906962156295776, 'redshifts/outlier_fraction_bin_3': 0.19743724167346954, 'redshifts/outlier_fraction_bin_4': 0.19033101201057434, 'redshifts/outlier_fraction_bin_5': 0.09345931559801102, 'redshifts/outlier_fraction_cata': 0.08924748748540878, 'redshifts/outlier_fraction_cata_bin_0': 0.133613720536232, 'redshifts/outlier_fraction_cata_bin_1': 0.09776774793863297, 'redshifts/outlier_fraction_cata_bin_2': 0.08001755177974701, 'redshifts/outlier_fraction_cata_bin_3': 0.05596234276890755, 'redshifts/outlier_fraction_cata_bin_4': 0.060975611209869385, 'redshifts/outlier_fraction_cata_bin_5': 0.017358822748064995}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1079/1563 [1:43:54<41:13, 5.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67785.])\n", + "total num of pts: tensor([24749., 16409., 6840., 3825., 2302., 13660.])\n", + "{'redshifts/bias_abs': 0.07602137327194214, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004748902283608913, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.31254881620407104, 'redshifts/mse_bin_0': 0.43912380933761597, 'redshifts/mse_bin_1': 0.36076781153678894, 'redshifts/mse_bin_2': 0.2940695285797119, 'redshifts/mse_bin_3': 0.21514762938022614, 'redshifts/mse_bin_4': 0.237282395362854, 'redshifts/mse_bin_5': 0.07450899481773376, 'redshifts/nmad': 0.11256074905395508, 'redshifts/nmad_bin_0': 0.21226942539215088, 'redshifts/nmad_bin_1': 0.13356542587280273, 'redshifts/nmad_bin_2': 0.08826345950365067, 'redshifts/nmad_bin_3': 0.07146644592285156, 'redshifts/nmad_bin_4': 0.06396317481994629, 'redshifts/nmad_bin_5': 0.03524516150355339, 'redshifts/outlier_fraction': 0.3272847831249237, 'redshifts/outlier_fraction_bin_0': 0.4896359443664551, 'redshifts/outlier_fraction_bin_1': 0.3548052906990051, 'redshifts/outlier_fraction_bin_2': 0.2593567371368408, 'redshifts/outlier_fraction_bin_3': 0.19738562405109406, 'redshifts/outlier_fraction_bin_4': 0.1911381334066391, 'redshifts/outlier_fraction_bin_5': 0.09341142326593399, 'redshifts/outlier_fraction_cata': 0.08922328054904938, 'redshifts/outlier_fraction_cata_bin_0': 0.13354074954986572, 'redshifts/outlier_fraction_cata_bin_1': 0.09775123745203018, 'redshifts/outlier_fraction_cata_bin_2': 0.08011695742607117, 'redshifts/outlier_fraction_cata_bin_3': 0.05594771355390549, 'redshifts/outlier_fraction_cata_bin_4': 0.0608166828751564, 'redshifts/outlier_fraction_cata_bin_5': 0.017349926754832268}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1080/1563 [1:44:00<43:33, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67842.])\n", + "total num of pts: tensor([24768., 16421., 6848., 3827., 2306., 13672.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14513668417930603, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.00474798958748579, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.0002577905834186822, 'redshifts/mse': 0.31254732608795166, 'redshifts/mse_bin_0': 0.4391286373138428, 'redshifts/mse_bin_1': 0.3607949912548065, 'redshifts/mse_bin_2': 0.2938448488712311, 'redshifts/mse_bin_3': 0.21505197882652283, 'redshifts/mse_bin_4': 0.23688596487045288, 'redshifts/mse_bin_5': 0.07470416277647018, 'redshifts/nmad': 0.11256083846092224, 'redshifts/nmad_bin_0': 0.21228213608264923, 'redshifts/nmad_bin_1': 0.13356295228004456, 'redshifts/nmad_bin_2': 0.08826756477355957, 'redshifts/nmad_bin_3': 0.07144298404455185, 'redshifts/nmad_bin_4': 0.06398415565490723, 'redshifts/nmad_bin_5': 0.03524569422006607, 'redshifts/outlier_fraction': 0.32731935381889343, 'redshifts/outlier_fraction_bin_0': 0.4897044599056244, 'redshifts/outlier_fraction_bin_1': 0.35485050082206726, 'redshifts/outlier_fraction_bin_2': 0.25934579968452454, 'redshifts/outlier_fraction_bin_3': 0.19754377007484436, 'redshifts/outlier_fraction_bin_4': 0.19080659747123718, 'redshifts/outlier_fraction_bin_5': 0.09347571432590485, 'redshifts/outlier_fraction_cata': 0.08920727670192719, 'redshifts/outlier_fraction_cata_bin_0': 0.13351905345916748, 'redshifts/outlier_fraction_cata_bin_1': 0.09774069488048553, 'redshifts/outlier_fraction_cata_bin_2': 0.08002336323261261, 'redshifts/outlier_fraction_cata_bin_3': 0.05591847375035286, 'redshifts/outlier_fraction_cata_bin_4': 0.06071118637919426, 'redshifts/outlier_fraction_cata_bin_5': 0.017407840117812157}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1081/1563 [1:44:06<46:26, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([67900.])\n", + "total num of pts: tensor([24790., 16437., 6851., 3831., 2310., 13681.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04745540767908096, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.0047497935593128204, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.011133978143334389, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.31258082389831543, 'redshifts/mse_bin_0': 0.43905678391456604, 'redshifts/mse_bin_1': 0.3608975410461426, 'redshifts/mse_bin_2': 0.2937488257884979, 'redshifts/mse_bin_3': 0.21589288115501404, 'redshifts/mse_bin_4': 0.2367601841688156, 'redshifts/mse_bin_5': 0.0746622383594513, 'redshifts/nmad': 0.11256011575460434, 'redshifts/nmad_bin_0': 0.21227656304836273, 'redshifts/nmad_bin_1': 0.13350987434387207, 'redshifts/nmad_bin_2': 0.08827649801969528, 'redshifts/nmad_bin_3': 0.07148398458957672, 'redshifts/nmad_bin_4': 0.06398415565490723, 'redshifts/nmad_bin_5': 0.03524516150355339, 'redshifts/outlier_fraction': 0.3273490369319916, 'redshifts/outlier_fraction_bin_0': 0.4896732568740845, 'redshifts/outlier_fraction_bin_1': 0.35487011075019836, 'redshifts/outlier_fraction_bin_2': 0.25937819480895996, 'redshifts/outlier_fraction_bin_3': 0.19759853184223175, 'redshifts/outlier_fraction_bin_4': 0.19134199619293213, 'redshifts/outlier_fraction_bin_5': 0.09348731487989426, 'redshifts/outlier_fraction_cata': 0.08921944350004196, 'redshifts/outlier_fraction_cata_bin_0': 0.13352158665657043, 'redshifts/outlier_fraction_cata_bin_1': 0.09776723384857178, 'redshifts/outlier_fraction_cata_bin_2': 0.07998832315206528, 'redshifts/outlier_fraction_cata_bin_3': 0.05612111836671829, 'redshifts/outlier_fraction_cata_bin_4': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_5': 0.017396388575434685}\n", + "total num of pts: tensor([67978.])\n", + "total num of pts: tensor([24823., 16455., 6857., 3836., 2313., 13694.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1082/1563 [1:44:11<43:50, 5.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04756192862987518, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023838430643081665, 'redshifts/bias': 0.00474798958748579, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.011133978143334389, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.3124755918979645, 'redshifts/mse_bin_0': 0.43887242674827576, 'redshifts/mse_bin_1': 0.3607042133808136, 'redshifts/mse_bin_2': 0.29398080706596375, 'redshifts/mse_bin_3': 0.2157420665025711, 'redshifts/mse_bin_4': 0.23650185763835907, 'redshifts/mse_bin_5': 0.07459364086389542, 'redshifts/nmad': 0.11256083846092224, 'redshifts/nmad_bin_0': 0.21227844059467316, 'redshifts/nmad_bin_1': 0.13348641991615295, 'redshifts/nmad_bin_2': 0.08841493725776672, 'redshifts/nmad_bin_3': 0.071681447327137, 'redshifts/nmad_bin_4': 0.06398415565490723, 'redshifts/nmad_bin_5': 0.0352301150560379, 'redshifts/outlier_fraction': 0.32735592126846313, 'redshifts/outlier_fraction_bin_0': 0.4895862638950348, 'redshifts/outlier_fraction_bin_1': 0.3549073338508606, 'redshifts/outlier_fraction_bin_2': 0.25958874821662903, 'redshifts/outlier_fraction_bin_3': 0.19760166108608246, 'redshifts/outlier_fraction_bin_4': 0.1915261596441269, 'redshifts/outlier_fraction_bin_5': 0.0933985710144043, 'redshifts/outlier_fraction_cata': 0.08916120231151581, 'redshifts/outlier_fraction_cata_bin_0': 0.13342463970184326, 'redshifts/outlier_fraction_cata_bin_1': 0.09766028821468353, 'redshifts/outlier_fraction_cata_bin_2': 0.08006417006254196, 'redshifts/outlier_fraction_cata_bin_3': 0.056047964841127396, 'redshifts/outlier_fraction_cata_bin_4': 0.06052745506167412, 'redshifts/outlier_fraction_cata_bin_5': 0.017379874363541603}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1083/1563 [1:44:17<45:05, 5.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68029.])\n", + "total num of pts: tensor([24843., 16468., 6863., 3839., 2313., 13703.])\n", + "{'redshifts/bias_abs': 0.07602231949567795, 'redshifts/bias_abs_bin_0': 0.14509372413158417, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04756192862987518, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004744738340377808, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00025641906540840864, 'redshifts/mse': 0.31251639127731323, 'redshifts/mse_bin_0': 0.43901172280311584, 'redshifts/mse_bin_1': 0.3605922758579254, 'redshifts/mse_bin_2': 0.2937282919883728, 'redshifts/mse_bin_3': 0.21558809280395508, 'redshifts/mse_bin_4': 0.23650185763835907, 'redshifts/mse_bin_5': 0.07480311393737793, 'redshifts/nmad': 0.1125553771853447, 'redshifts/nmad_bin_0': 0.21219123899936676, 'redshifts/nmad_bin_1': 0.1334315538406372, 'redshifts/nmad_bin_2': 0.08830256760120392, 'redshifts/nmad_bin_3': 0.07169697433710098, 'redshifts/nmad_bin_4': 0.06398415565490723, 'redshifts/nmad_bin_5': 0.03525462746620178, 'redshifts/outlier_fraction': 0.3273603916168213, 'redshifts/outlier_fraction_bin_0': 0.48955440521240234, 'redshifts/outlier_fraction_bin_1': 0.3549307882785797, 'redshifts/outlier_fraction_bin_2': 0.25936180353164673, 'redshifts/outlier_fraction_bin_3': 0.1974472552537918, 'redshifts/outlier_fraction_bin_4': 0.1915261596441269, 'redshifts/outlier_fraction_bin_5': 0.09355615824460983, 'redshifts/outlier_fraction_cata': 0.0891384556889534, 'redshifts/outlier_fraction_cata_bin_0': 0.13339774310588837, 'redshifts/outlier_fraction_cata_bin_1': 0.09758318960666656, 'redshifts/outlier_fraction_cata_bin_2': 0.07999417185783386, 'redshifts/outlier_fraction_cata_bin_3': 0.05600416660308838, 'redshifts/outlier_fraction_cata_bin_4': 0.06052745506167412, 'redshifts/outlier_fraction_cata_bin_5': 0.017441436648368835}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1084/1563 [1:44:24<46:57, 5.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68088.])\n", + "total num of pts: tensor([24862., 16488., 6867., 3842., 2316., 13713.])\n", + "{'redshifts/bias_abs': 0.07602660357952118, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.047515787184238434, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004733383189886808, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00025641906540840864, 'redshifts/mse': 0.3124910593032837, 'redshifts/mse_bin_0': 0.4389960765838623, 'redshifts/mse_bin_1': 0.36038100719451904, 'redshifts/mse_bin_2': 0.2942304313182831, 'redshifts/mse_bin_3': 0.21546678245067596, 'redshifts/mse_bin_4': 0.2362685203552246, 'redshifts/mse_bin_5': 0.07475272566080093, 'redshifts/nmad': 0.11256728321313858, 'redshifts/nmad_bin_0': 0.21218028664588928, 'redshifts/nmad_bin_1': 0.13343334197998047, 'redshifts/nmad_bin_2': 0.08827990293502808, 'redshifts/nmad_bin_3': 0.07169697433710098, 'redshifts/nmad_bin_4': 0.06404124200344086, 'redshifts/nmad_bin_5': 0.03525462746620178, 'redshifts/outlier_fraction': 0.32734107971191406, 'redshifts/outlier_fraction_bin_0': 0.48954227566719055, 'redshifts/outlier_fraction_bin_1': 0.35480350255966187, 'redshifts/outlier_fraction_bin_2': 0.25950196385383606, 'redshifts/outlier_fraction_bin_3': 0.197553351521492, 'redshifts/outlier_fraction_bin_4': 0.19170984625816345, 'redshifts/outlier_fraction_bin_5': 0.0934879332780838, 'redshifts/outlier_fraction_cata': 0.08911996334791183, 'redshifts/outlier_fraction_cata_bin_0': 0.13333600759506226, 'redshifts/outlier_fraction_cata_bin_1': 0.09758612513542175, 'redshifts/outlier_fraction_cata_bin_2': 0.08009319752454758, 'redshifts/outlier_fraction_cata_bin_3': 0.055960435420274734, 'redshifts/outlier_fraction_cata_bin_4': 0.06044904887676239, 'redshifts/outlier_fraction_cata_bin_5': 0.017428716644644737}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1085/1563 [1:44:29<45:20, 5.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68148.])\n", + "total num of pts: tensor([24885., 16502., 6872., 3848., 2317., 13724.])\n", + "{'redshifts/bias_abs': 0.07606316357851028, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047515787184238434, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004733380861580372, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.0002577905834186822, 'redshifts/mse': 0.3126455545425415, 'redshifts/mse_bin_0': 0.43921786546707153, 'redshifts/mse_bin_1': 0.3605462908744812, 'redshifts/mse_bin_2': 0.29425424337387085, 'redshifts/mse_bin_3': 0.21604445576667786, 'redshifts/mse_bin_4': 0.23636871576309204, 'redshifts/mse_bin_5': 0.07471245527267456, 'redshifts/nmad': 0.11257759481668472, 'redshifts/nmad_bin_0': 0.21215583384037018, 'redshifts/nmad_bin_1': 0.13343334197998047, 'redshifts/nmad_bin_2': 0.08831186592578888, 'redshifts/nmad_bin_3': 0.07170051336288452, 'redshifts/nmad_bin_4': 0.06404517590999603, 'redshifts/nmad_bin_5': 0.03525259345769882, 'redshifts/outlier_fraction': 0.3273610472679138, 'redshifts/outlier_fraction_bin_0': 0.48941129446029663, 'redshifts/outlier_fraction_bin_1': 0.35480546951293945, 'redshifts/outlier_fraction_bin_2': 0.25960418581962585, 'redshifts/outlier_fraction_bin_3': 0.1980249434709549, 'redshifts/outlier_fraction_bin_4': 0.19205869734287262, 'redshifts/outlier_fraction_bin_5': 0.09355872869491577, 'redshifts/outlier_fraction_cata': 0.08914421498775482, 'redshifts/outlier_fraction_cata_bin_0': 0.13333334028720856, 'redshifts/outlier_fraction_cata_bin_1': 0.0976245328783989, 'redshifts/outlier_fraction_cata_bin_2': 0.08003492653369904, 'redshifts/outlier_fraction_cata_bin_3': 0.05639293044805527, 'redshifts/outlier_fraction_cata_bin_4': 0.06042296066880226, 'redshifts/outlier_fraction_cata_bin_5': 0.017414748668670654}\n", + "total num of pts: tensor([68201.])\n", + "total num of pts: tensor([24912., 16514., 6878., 3849., 2320., 13728.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 69%|██████▉ | 1086/1563 [1:44:36<47:56, 6.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07608121633529663, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.047515787184238434, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004758944734930992, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.31278344988822937, 'redshifts/mse_bin_0': 0.439169704914093, 'redshifts/mse_bin_1': 0.36072903871536255, 'redshifts/mse_bin_2': 0.29461750388145447, 'redshifts/mse_bin_3': 0.2159886509180069, 'redshifts/mse_bin_4': 0.23612399399280548, 'redshifts/mse_bin_5': 0.07495027035474777, 'redshifts/nmad': 0.11259783059358597, 'redshifts/nmad_bin_0': 0.21215461194515228, 'redshifts/nmad_bin_1': 0.1334315538406372, 'redshifts/nmad_bin_2': 0.08827990293502808, 'redshifts/nmad_bin_3': 0.07169697433710098, 'redshifts/nmad_bin_4': 0.06404291093349457, 'redshifts/nmad_bin_5': 0.03525904566049576, 'redshifts/outlier_fraction': 0.327399879693985, 'redshifts/outlier_fraction_bin_0': 0.48936256766319275, 'redshifts/outlier_fraction_bin_1': 0.3548504412174225, 'redshifts/outlier_fraction_bin_2': 0.2595231235027313, 'redshifts/outlier_fraction_bin_3': 0.19797350466251373, 'redshifts/outlier_fraction_bin_4': 0.1922413855791092, 'redshifts/outlier_fraction_bin_5': 0.09360431134700775, 'redshifts/outlier_fraction_cata': 0.0891629159450531, 'redshifts/outlier_fraction_cata_bin_0': 0.13326910138130188, 'redshifts/outlier_fraction_cata_bin_1': 0.09767469763755798, 'redshifts/outlier_fraction_cata_bin_2': 0.08011049777269363, 'redshifts/outlier_fraction_cata_bin_3': 0.05637827888131142, 'redshifts/outlier_fraction_cata_bin_4': 0.06034482643008232, 'redshifts/outlier_fraction_cata_bin_5': 0.017482517287135124}\n", + "total num of pts: tensor([68260.])\n", + "total num of pts: tensor([24936., 16527., 6888., 3850., 2323., 13736.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|██████▉ | 1087/1563 [1:44:41<46:42, 5.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07611025869846344, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04745540767908096, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004766502417623997, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.011133014224469662, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.0002479220274835825, 'redshifts/mse': 0.3129572868347168, 'redshifts/mse_bin_0': 0.43940410017967224, 'redshifts/mse_bin_1': 0.3610527515411377, 'redshifts/mse_bin_2': 0.29473111033439636, 'redshifts/mse_bin_3': 0.215932697057724, 'redshifts/mse_bin_4': 0.23582465946674347, 'redshifts/mse_bin_5': 0.0749182403087616, 'redshifts/nmad': 0.1126432865858078, 'redshifts/nmad_bin_0': 0.21220287680625916, 'redshifts/nmad_bin_1': 0.13353320956230164, 'redshifts/nmad_bin_2': 0.08829016238451004, 'redshifts/nmad_bin_3': 0.07154132425785065, 'redshifts/nmad_bin_4': 0.06404291093349457, 'redshifts/nmad_bin_5': 0.03526722639799118, 'redshifts/outlier_fraction': 0.3275124430656433, 'redshifts/outlier_fraction_bin_0': 0.4895332157611847, 'redshifts/outlier_fraction_bin_1': 0.35499486327171326, 'redshifts/outlier_fraction_bin_2': 0.2597270607948303, 'redshifts/outlier_fraction_bin_3': 0.19792208075523376, 'redshifts/outlier_fraction_bin_4': 0.1919931173324585, 'redshifts/outlier_fraction_bin_5': 0.09354979544878006, 'redshifts/outlier_fraction_cata': 0.08923234790563583, 'redshifts/outlier_fraction_cata_bin_0': 0.1333814561367035, 'redshifts/outlier_fraction_cata_bin_1': 0.09771888703107834, 'redshifts/outlier_fraction_cata_bin_2': 0.08028455078601837, 'redshifts/outlier_fraction_cata_bin_3': 0.05636363476514816, 'redshifts/outlier_fraction_cata_bin_4': 0.060266897082328796, 'redshifts/outlier_fraction_cata_bin_5': 0.017472336068749428}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|██████▉ | 1088/1563 [1:44:48<48:19, 6.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68328.])\n", + "total num of pts: tensor([24967., 16539., 6895., 3852., 2326., 13749.])\n", + "{'redshifts/bias_abs': 0.07610337436199188, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004766502417623997, 'redshifts/bias_bin_0': 0.02941272407770157, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00025641906540840864, 'redshifts/mse': 0.312827467918396, 'redshifts/mse_bin_0': 0.4393155872821808, 'redshifts/mse_bin_1': 0.3608345091342926, 'redshifts/mse_bin_2': 0.2944481670856476, 'redshifts/mse_bin_3': 0.21582265198230743, 'redshifts/mse_bin_4': 0.23553328216075897, 'redshifts/mse_bin_5': 0.07485645264387131, 'redshifts/nmad': 0.11260776221752167, 'redshifts/nmad_bin_0': 0.21221134066581726, 'redshifts/nmad_bin_1': 0.1335146129131317, 'redshifts/nmad_bin_2': 0.08831186592578888, 'redshifts/nmad_bin_3': 0.07153493165969849, 'redshifts/nmad_bin_4': 0.06404291093349457, 'redshifts/nmad_bin_5': 0.03526615723967552, 'redshifts/outlier_fraction': 0.3274938464164734, 'redshifts/outlier_fraction_bin_0': 0.48956623673439026, 'redshifts/outlier_fraction_bin_1': 0.35497912764549255, 'redshifts/outlier_fraction_bin_2': 0.259463369846344, 'redshifts/outlier_fraction_bin_3': 0.1978193074464798, 'redshifts/outlier_fraction_bin_4': 0.19174548983573914, 'redshifts/outlier_fraction_bin_5': 0.09353407472372055, 'redshifts/outlier_fraction_cata': 0.08920208364725113, 'redshifts/outlier_fraction_cata_bin_0': 0.13337606191635132, 'redshifts/outlier_fraction_cata_bin_1': 0.09764797985553741, 'redshifts/outlier_fraction_cata_bin_2': 0.08020304888486862, 'redshifts/outlier_fraction_cata_bin_3': 0.056334372609853745, 'redshifts/outlier_fraction_cata_bin_4': 0.06018916517496109, 'redshifts/outlier_fraction_cata_bin_5': 0.01745581440627575}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|██████▉ | 1089/1563 [1:44:54<48:18, 6.12s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68387.])\n", + "total num of pts: tensor([24985., 16558., 6901., 3855., 2329., 13759.])\n", + "{'redshifts/bias_abs': 0.07610337436199188, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004777580499649048, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.011133978143334389, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.312847763299942, 'redshifts/mse_bin_0': 0.43929845094680786, 'redshifts/mse_bin_1': 0.3610043525695801, 'redshifts/mse_bin_2': 0.29422345757484436, 'redshifts/mse_bin_3': 0.2156657874584198, 'redshifts/mse_bin_4': 0.23624436557292938, 'redshifts/mse_bin_5': 0.07480776309967041, 'redshifts/nmad': 0.11260471493005753, 'redshifts/nmad_bin_0': 0.21221154928207397, 'redshifts/nmad_bin_1': 0.13350987434387207, 'redshifts/nmad_bin_2': 0.08830256760120392, 'redshifts/nmad_bin_3': 0.07148398458957672, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.03526279330253601, 'redshifts/outlier_fraction': 0.3275476396083832, 'redshifts/outlier_fraction_bin_0': 0.4896537959575653, 'redshifts/outlier_fraction_bin_1': 0.3551153540611267, 'redshifts/outlier_fraction_bin_2': 0.2593826949596405, 'redshifts/outlier_fraction_bin_3': 0.19766536355018616, 'redshifts/outlier_fraction_bin_4': 0.19192786514759064, 'redshifts/outlier_fraction_bin_5': 0.09353877604007721, 'redshifts/outlier_fraction_cata': 0.08919823914766312, 'redshifts/outlier_fraction_cata_bin_0': 0.13331998884677887, 'redshifts/outlier_fraction_cata_bin_1': 0.09771711379289627, 'redshifts/outlier_fraction_cata_bin_2': 0.08013331145048141, 'redshifts/outlier_fraction_cata_bin_3': 0.056290533393621445, 'redshifts/outlier_fraction_cata_bin_4': 0.060541003942489624, 'redshifts/outlier_fraction_cata_bin_5': 0.017443127930164337}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|██████▉ | 1090/1563 [1:45:00<47:00, 5.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68450.])\n", + "total num of pts: tensor([25010., 16576., 6906., 3860., 2329., 13769.])\n", + "{'redshifts/bias_abs': 0.07611838728189468, 'redshifts/bias_abs_bin_0': 0.14512932300567627, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04745540767908096, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.00477738119661808, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.31284958124160767, 'redshifts/mse_bin_0': 0.4393026530742645, 'redshifts/mse_bin_1': 0.3609403073787689, 'redshifts/mse_bin_2': 0.29424458742141724, 'redshifts/mse_bin_3': 0.2158161997795105, 'redshifts/mse_bin_4': 0.23624436557292938, 'redshifts/mse_bin_5': 0.07475608587265015, 'redshifts/nmad': 0.11263323575258255, 'redshifts/nmad_bin_0': 0.2122495472431183, 'redshifts/nmad_bin_1': 0.13359758257865906, 'redshifts/nmad_bin_2': 0.08821775019168854, 'redshifts/nmad_bin_3': 0.07159226387739182, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.03525904566049576, 'redshifts/outlier_fraction': 0.32765522599220276, 'redshifts/outlier_fraction_bin_0': 0.4896441400051117, 'redshifts/outlier_fraction_bin_1': 0.35539335012435913, 'redshifts/outlier_fraction_bin_2': 0.25933969020843506, 'redshifts/outlier_fraction_bin_3': 0.19818653166294098, 'redshifts/outlier_fraction_bin_4': 0.19192786514759064, 'redshifts/outlier_fraction_bin_5': 0.09354346990585327, 'redshifts/outlier_fraction_cata': 0.08921840786933899, 'redshifts/outlier_fraction_cata_bin_0': 0.13334666192531586, 'redshifts/outlier_fraction_cata_bin_1': 0.09773165732622147, 'redshifts/outlier_fraction_cata_bin_2': 0.08022009581327438, 'redshifts/outlier_fraction_cata_bin_3': 0.05621761828660965, 'redshifts/outlier_fraction_cata_bin_4': 0.060541003942489624, 'redshifts/outlier_fraction_cata_bin_5': 0.017430460080504417}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|██████▉ | 1091/1563 [1:45:04<42:19, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68497.])\n", + "total num of pts: tensor([25026., 16589., 6910., 3864., 2330., 13778.])\n", + "{'redshifts/bias_abs': 0.07612741738557816, 'redshifts/bias_abs_bin_0': 0.1450563371181488, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04756192862987518, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.00477738119661808, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0018518593860790133, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.3129444420337677, 'redshifts/mse_bin_0': 0.43942755460739136, 'redshifts/mse_bin_1': 0.36099228262901306, 'redshifts/mse_bin_2': 0.2945403754711151, 'redshifts/mse_bin_3': 0.21617548167705536, 'redshifts/mse_bin_4': 0.23614297807216644, 'redshifts/mse_bin_5': 0.07470879703760147, 'redshifts/nmad': 0.11263607442378998, 'redshifts/nmad_bin_0': 0.2122107446193695, 'redshifts/nmad_bin_1': 0.13359758257865906, 'redshifts/nmad_bin_2': 0.08827930688858032, 'redshifts/nmad_bin_3': 0.07170125097036362, 'redshifts/nmad_bin_4': 0.06404517590999603, 'redshifts/nmad_bin_5': 0.03525214642286301, 'redshifts/outlier_fraction': 0.32766398787498474, 'redshifts/outlier_fraction_bin_0': 0.48957085609436035, 'redshifts/outlier_fraction_bin_1': 0.3554162383079529, 'redshifts/outlier_fraction_bin_2': 0.2596237361431122, 'redshifts/outlier_fraction_bin_3': 0.19849896430969238, 'redshifts/outlier_fraction_bin_4': 0.19184549152851105, 'redshifts/outlier_fraction_bin_5': 0.0934823602437973, 'redshifts/outlier_fraction_cata': 0.08925938606262207, 'redshifts/outlier_fraction_cata_bin_0': 0.13338127732276917, 'redshifts/outlier_fraction_cata_bin_1': 0.09777563810348511, 'redshifts/outlier_fraction_cata_bin_2': 0.0803183764219284, 'redshifts/outlier_fraction_cata_bin_3': 0.05641821771860123, 'redshifts/outlier_fraction_cata_bin_4': 0.06051502004265785, 'redshifts/outlier_fraction_cata_bin_5': 0.01741907373070717}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|██████▉ | 1092/1563 [1:45:09<42:39, 5.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68549.])\n", + "total num of pts: tensor([25042., 16607., 6917., 3864., 2332., 13787.])\n", + "{'redshifts/bias_abs': 0.076143279671669, 'redshifts/bias_abs_bin_0': 0.14513668417930603, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04756192862987518, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004773082677274942, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0017948757158592343, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.0002479220274835825, 'redshifts/mse': 0.31310737133026123, 'redshifts/mse_bin_0': 0.4396524727344513, 'redshifts/mse_bin_1': 0.3611934781074524, 'redshifts/mse_bin_2': 0.2949211597442627, 'redshifts/mse_bin_3': 0.21617548167705536, 'redshifts/mse_bin_4': 0.23596690595149994, 'redshifts/mse_bin_5': 0.07467330992221832, 'redshifts/nmad': 0.11266075074672699, 'redshifts/nmad_bin_0': 0.21228955686092377, 'redshifts/nmad_bin_1': 0.1336331069469452, 'redshifts/nmad_bin_2': 0.08856098353862762, 'redshifts/nmad_bin_3': 0.07170125097036362, 'redshifts/nmad_bin_4': 0.06404517590999603, 'redshifts/nmad_bin_5': 0.035235174000263214, 'redshifts/outlier_fraction': 0.32775095105171204, 'redshifts/outlier_fraction_bin_0': 0.48969730734825134, 'redshifts/outlier_fraction_bin_1': 0.3554525077342987, 'redshifts/outlier_fraction_bin_2': 0.2597947120666504, 'redshifts/outlier_fraction_bin_3': 0.19849896430969238, 'redshifts/outlier_fraction_bin_4': 0.19210977852344513, 'redshifts/outlier_fraction_bin_5': 0.09349387139081955, 'redshifts/outlier_fraction_cata': 0.08932296931743622, 'redshifts/outlier_fraction_cata_bin_0': 0.1334957331418991, 'redshifts/outlier_fraction_cata_bin_1': 0.09779009222984314, 'redshifts/outlier_fraction_cata_bin_2': 0.08052624017000198, 'redshifts/outlier_fraction_cata_bin_3': 0.05641821771860123, 'redshifts/outlier_fraction_cata_bin_4': 0.06046312302350998, 'redshifts/outlier_fraction_cata_bin_5': 0.017407702282071114}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|██████▉ | 1093/1563 [1:45:14<41:00, 5.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68601.])\n", + "total num of pts: tensor([25059., 16620., 6922., 3865., 2336., 13799.])\n", + "{'redshifts/bias_abs': 0.07612184435129166, 'redshifts/bias_abs_bin_0': 0.14513668417930603, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04772459715604782, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004781007766723633, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0017948757158592343, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.0002479220274835825, 'redshifts/mse': 0.31302717328071594, 'redshifts/mse_bin_0': 0.43967896699905396, 'redshifts/mse_bin_1': 0.3610444962978363, 'redshifts/mse_bin_2': 0.29471123218536377, 'redshifts/mse_bin_3': 0.21612206101417542, 'redshifts/mse_bin_4': 0.23564012348651886, 'redshifts/mse_bin_5': 0.07462357729673386, 'redshifts/nmad': 0.11262926459312439, 'redshifts/nmad_bin_0': 0.21228955686092377, 'redshifts/nmad_bin_1': 0.13347908854484558, 'redshifts/nmad_bin_2': 0.08836379647254944, 'redshifts/nmad_bin_3': 0.07163597643375397, 'redshifts/nmad_bin_4': 0.06400130689144135, 'redshifts/nmad_bin_5': 0.03522193431854248, 'redshifts/outlier_fraction': 0.32772117853164673, 'redshifts/outlier_fraction_bin_0': 0.4896843433380127, 'redshifts/outlier_fraction_bin_1': 0.3554753363132477, 'redshifts/outlier_fraction_bin_2': 0.2596070468425751, 'redshifts/outlier_fraction_bin_3': 0.1984476000070572, 'redshifts/outlier_fraction_bin_4': 0.1922089010477066, 'redshifts/outlier_fraction_bin_5': 0.0934850350022316, 'redshifts/outlier_fraction_cata': 0.0893135666847229, 'redshifts/outlier_fraction_cata_bin_0': 0.13352487981319427, 'redshifts/outlier_fraction_cata_bin_1': 0.09777376800775528, 'redshifts/outlier_fraction_cata_bin_2': 0.0804680734872818, 'redshifts/outlier_fraction_cata_bin_3': 0.05640362203121185, 'redshifts/outlier_fraction_cata_bin_4': 0.060359589755535126, 'redshifts/outlier_fraction_cata_bin_5': 0.017392564564943314}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|██████▉ | 1094/1563 [1:45:25<55:16, 7.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68661.])\n", + "total num of pts: tensor([25081., 16637., 6927., 3870., 2339., 13807.])\n", + "{'redshifts/bias_abs': 0.07615724205970764, 'redshifts/bias_abs_bin_0': 0.14517082273960114, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04778711125254631, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.00477738119661808, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.011098173446953297, 'redshifts/bias_bin_2': -0.0017843248788267374, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00023587510804645717, 'redshifts/mse': 0.31313207745552063, 'redshifts/mse_bin_0': 0.4398350119590759, 'redshifts/mse_bin_1': 0.3608766794204712, 'redshifts/mse_bin_2': 0.2951936423778534, 'redshifts/mse_bin_3': 0.21625657379627228, 'redshifts/mse_bin_4': 0.23631881177425385, 'redshifts/mse_bin_5': 0.07460521906614304, 'redshifts/nmad': 0.1126631423830986, 'redshifts/nmad_bin_0': 0.21230842173099518, 'redshifts/nmad_bin_1': 0.13343559205532074, 'redshifts/nmad_bin_2': 0.08855380117893219, 'redshifts/nmad_bin_3': 0.07178661972284317, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.03523643687367439, 'redshifts/outlier_fraction': 0.3278425931930542, 'redshifts/outlier_fraction_bin_0': 0.48977312445640564, 'redshifts/outlier_fraction_bin_1': 0.35547274351119995, 'redshifts/outlier_fraction_bin_2': 0.25985273718833923, 'redshifts/outlier_fraction_bin_3': 0.19896641373634338, 'redshifts/outlier_fraction_bin_4': 0.19238990545272827, 'redshifts/outlier_fraction_bin_5': 0.09357572346925735, 'redshifts/outlier_fraction_cata': 0.08933746814727783, 'redshifts/outlier_fraction_cata_bin_0': 0.13352736830711365, 'redshifts/outlier_fraction_cata_bin_1': 0.09767386317253113, 'redshifts/outlier_fraction_cata_bin_2': 0.08069871366024017, 'redshifts/outlier_fraction_cata_bin_3': 0.05658914893865585, 'redshifts/outlier_fraction_cata_bin_4': 0.06070970371365547, 'redshifts/outlier_fraction_cata_bin_5': 0.017382487654685974}\n", + "total num of pts: tensor([68725.])\n", + "total num of pts: tensor([25109., 16649., 6934., 3872., 2342., 13819.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|███████ | 1095/1563 [1:45:31<52:12, 6.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07616522163152695, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04778711125254631, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004766502417623997, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.0017948757158592343, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00022534903837367892, 'redshifts/mse': 0.31322765350341797, 'redshifts/mse_bin_0': 0.4399782717227936, 'redshifts/mse_bin_1': 0.3607187569141388, 'redshifts/mse_bin_2': 0.2958725690841675, 'redshifts/mse_bin_3': 0.21615207195281982, 'redshifts/mse_bin_4': 0.23685391247272491, 'redshifts/mse_bin_5': 0.07455674558877945, 'redshifts/nmad': 0.11268336325883865, 'redshifts/nmad_bin_0': 0.2123563140630722, 'redshifts/nmad_bin_1': 0.1334407478570938, 'redshifts/nmad_bin_2': 0.08856098353862762, 'redshifts/nmad_bin_3': 0.07178661972284317, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.03523445501923561, 'redshifts/outlier_fraction': 0.32791560888290405, 'redshifts/outlier_fraction_bin_0': 0.4899040162563324, 'redshifts/outlier_fraction_bin_1': 0.35539671778678894, 'redshifts/outlier_fraction_bin_2': 0.2600230872631073, 'redshifts/outlier_fraction_bin_3': 0.19886364042758942, 'redshifts/outlier_fraction_bin_4': 0.19257044792175293, 'redshifts/outlier_fraction_bin_5': 0.09363919496536255, 'redshifts/outlier_fraction_cata': 0.0893997848033905, 'redshifts/outlier_fraction_cata_bin_0': 0.13361743092536926, 'redshifts/outlier_fraction_cata_bin_1': 0.0976034626364708, 'redshifts/outlier_fraction_cata_bin_2': 0.08104989677667618, 'redshifts/outlier_fraction_cata_bin_3': 0.05655991658568382, 'redshifts/outlier_fraction_cata_bin_4': 0.06105892360210419, 'redshifts/outlier_fraction_cata_bin_5': 0.017367392778396606}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|███████ | 1096/1563 [1:45:36<47:21, 6.08s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68791.])\n", + "total num of pts: tensor([25133., 16665., 6940., 3874., 2344., 13835.])\n", + "{'redshifts/bias_abs': 0.07616356015205383, 'redshifts/bias_abs_bin_0': 0.1452295482158661, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004732285160571337, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.0017948757158592343, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.3134155571460724, 'redshifts/mse_bin_0': 0.44005489349365234, 'redshifts/mse_bin_1': 0.36119261384010315, 'redshifts/mse_bin_2': 0.2958635091781616, 'redshifts/mse_bin_3': 0.2174474000930786, 'redshifts/mse_bin_4': 0.23665472865104675, 'redshifts/mse_bin_5': 0.07449056208133698, 'redshifts/nmad': 0.11269517242908478, 'redshifts/nmad_bin_0': 0.21231809258460999, 'redshifts/nmad_bin_1': 0.13352979719638824, 'redshifts/nmad_bin_2': 0.08856098353862762, 'redshifts/nmad_bin_3': 0.07185743004083633, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.035229478031396866, 'redshifts/outlier_fraction': 0.3279498815536499, 'redshifts/outlier_fraction_bin_0': 0.489913672208786, 'redshifts/outlier_fraction_bin_1': 0.35541555285453796, 'redshifts/outlier_fraction_bin_2': 0.26008644700050354, 'redshifts/outlier_fraction_bin_3': 0.19927723705768585, 'redshifts/outlier_fraction_bin_4': 0.19240614771842957, 'redshifts/outlier_fraction_bin_5': 0.09367546439170837, 'redshifts/outlier_fraction_cata': 0.0894448384642601, 'redshifts/outlier_fraction_cata_bin_0': 0.13360920548439026, 'redshifts/outlier_fraction_cata_bin_1': 0.09774977713823318, 'redshifts/outlier_fraction_cata_bin_2': 0.08112391829490662, 'redshifts/outlier_fraction_cata_bin_3': 0.0567888505756855, 'redshifts/outlier_fraction_cata_bin_4': 0.0610068254172802, 'redshifts/outlier_fraction_cata_bin_5': 0.01734730787575245}\n", + "total num of pts: tensor([68849.])\n", + "total num of pts: tensor([25152., 16674., 6948., 3881., 2347., 13847.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|███████ | 1097/1563 [1:45:41<44:56, 5.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07616356015205383, 'redshifts/bias_abs_bin_0': 0.14522893726825714, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004711349029093981, 'redshifts/bias_bin_0': 0.02941272407770157, 'redshifts/bias_bin_1': 0.010984551161527634, 'redshifts/bias_bin_2': -0.0017948757158592343, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.3133202791213989, 'redshifts/mse_bin_0': 0.43986913561820984, 'redshifts/mse_bin_1': 0.36123812198638916, 'redshifts/mse_bin_2': 0.2960295081138611, 'redshifts/mse_bin_3': 0.21715083718299866, 'redshifts/mse_bin_4': 0.23635338246822357, 'redshifts/mse_bin_5': 0.07442735135555267, 'redshifts/nmad': 0.11268952488899231, 'redshifts/nmad_bin_0': 0.21228845417499542, 'redshifts/nmad_bin_1': 0.1335589736700058, 'redshifts/nmad_bin_2': 0.08858316391706467, 'redshifts/nmad_bin_3': 0.07184110581874847, 'redshifts/nmad_bin_4': 0.06404517590999603, 'redshifts/nmad_bin_5': 0.035216134041547775, 'redshifts/outlier_fraction': 0.32789146900177, 'redshifts/outlier_fraction_bin_0': 0.4898616373538971, 'redshifts/outlier_fraction_bin_1': 0.35534363985061646, 'redshifts/outlier_fraction_bin_2': 0.2602187693119049, 'redshifts/outlier_fraction_bin_3': 0.1994331330060959, 'redshifts/outlier_fraction_bin_4': 0.1921602040529251, 'redshifts/outlier_fraction_bin_5': 0.09359428286552429, 'redshifts/outlier_fraction_cata': 0.08939854055643082, 'redshifts/outlier_fraction_cata_bin_0': 0.13350826501846313, 'redshifts/outlier_fraction_cata_bin_1': 0.09775698930025101, 'redshifts/outlier_fraction_cata_bin_2': 0.08117444068193436, 'redshifts/outlier_fraction_cata_bin_3': 0.05668641999363899, 'redshifts/outlier_fraction_cata_bin_4': 0.060928843915462494, 'redshifts/outlier_fraction_cata_bin_5': 0.017332274466753006}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|███████ | 1098/1563 [1:45:48<48:26, 6.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68940.])\n", + "total num of pts: tensor([25182., 16688., 6957., 3895., 2350., 13868.])\n", + "{'redshifts/bias_abs': 0.07616356015205383, 'redshifts/bias_abs_bin_0': 0.14515411853790283, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004690617322921753, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.0018518593860790133, 'redshifts/bias_bin_3': -0.006174889393150806, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00021857023239135742, 'redshifts/mse': 0.3133528530597687, 'redshifts/mse_bin_0': 0.43984490633010864, 'redshifts/mse_bin_1': 0.36141711473464966, 'redshifts/mse_bin_2': 0.2967767119407654, 'redshifts/mse_bin_3': 0.216861754655838, 'redshifts/mse_bin_4': 0.2360663264989853, 'redshifts/mse_bin_5': 0.07433758676052094, 'redshifts/nmad': 0.11269913613796234, 'redshifts/nmad_bin_0': 0.21231766045093536, 'redshifts/nmad_bin_1': 0.1335722953081131, 'redshifts/nmad_bin_2': 0.0886741653084755, 'redshifts/nmad_bin_3': 0.07194679230451584, 'redshifts/nmad_bin_4': 0.06411071121692657, 'redshifts/nmad_bin_5': 0.035220496356487274, 'redshifts/outlier_fraction': 0.327821284532547, 'redshifts/outlier_fraction_bin_0': 0.4897545874118805, 'redshifts/outlier_fraction_bin_1': 0.3553451597690582, 'redshifts/outlier_fraction_bin_2': 0.26031336188316345, 'redshifts/outlier_fraction_bin_3': 0.19948652386665344, 'redshifts/outlier_fraction_bin_4': 0.1919148862361908, 'redshifts/outlier_fraction_bin_5': 0.09359677135944366, 'redshifts/outlier_fraction_cata': 0.0893530622124672, 'redshifts/outlier_fraction_cata_bin_0': 0.1334286332130432, 'redshifts/outlier_fraction_cata_bin_1': 0.09779482334852219, 'redshifts/outlier_fraction_cata_bin_2': 0.08121316879987717, 'redshifts/outlier_fraction_cata_bin_3': 0.056482668966054916, 'redshifts/outlier_fraction_cata_bin_4': 0.06085106357932091, 'redshifts/outlier_fraction_cata_bin_5': 0.017306027933955193}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|███████ | 1099/1563 [1:45:53<45:52, 5.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([68998.])\n", + "total num of pts: tensor([25205., 16700., 6966., 3896., 2352., 13879.])\n", + "{'redshifts/bias_abs': 0.07613266259431839, 'redshifts/bias_abs_bin_0': 0.14509372413158417, 'redshifts/bias_abs_bin_1': 0.09019730240106583, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.004692857153713703, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.006174889393150806, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.3134259581565857, 'redshifts/mse_bin_0': 0.4399929940700531, 'redshifts/mse_bin_1': 0.36148586869239807, 'redshifts/mse_bin_2': 0.2969363033771515, 'redshifts/mse_bin_3': 0.21680818498134613, 'redshifts/mse_bin_4': 0.23590098321437836, 'redshifts/mse_bin_5': 0.07427965849637985, 'redshifts/nmad': 0.11267678439617157, 'redshifts/nmad_bin_0': 0.2122846096754074, 'redshifts/nmad_bin_1': 0.13355015218257904, 'redshifts/nmad_bin_2': 0.08868996798992157, 'redshifts/nmad_bin_3': 0.07194679230451584, 'redshifts/nmad_bin_4': 0.06413310021162033, 'redshifts/nmad_bin_5': 0.03521207720041275, 'redshifts/outlier_fraction': 0.327777624130249, 'redshifts/outlier_fraction_bin_0': 0.48962506651878357, 'redshifts/outlier_fraction_bin_1': 0.35538920760154724, 'redshifts/outlier_fraction_bin_2': 0.2604076862335205, 'redshifts/outlier_fraction_bin_3': 0.19943532347679138, 'redshifts/outlier_fraction_bin_4': 0.19175170361995697, 'redshifts/outlier_fraction_bin_5': 0.0935225859284401, 'redshifts/outlier_fraction_cata': 0.0893649086356163, 'redshifts/outlier_fraction_cata_bin_0': 0.13346558809280396, 'redshifts/outlier_fraction_cata_bin_1': 0.09778442978858948, 'redshifts/outlier_fraction_cata_bin_2': 0.08125179260969162, 'redshifts/outlier_fraction_cata_bin_3': 0.0564681738615036, 'redshifts/outlier_fraction_cata_bin_4': 0.06079931929707527, 'redshifts/outlier_fraction_cata_bin_5': 0.017292311415076256}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|███████ | 1100/1563 [1:45:58<42:13, 5.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69062.])\n", + "total num of pts: tensor([25223., 16716., 6976., 3896., 2356., 13895.])\n", + "{'redshifts/bias_abs': 0.07613422721624374, 'redshifts/bias_abs_bin_0': 0.14503653347492218, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004693859722465277, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010984551161527634, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.006174889393150806, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00023587510804645717, 'redshifts/mse': 0.3133859932422638, 'redshifts/mse_bin_0': 0.4399641454219818, 'redshifts/mse_bin_1': 0.36132359504699707, 'redshifts/mse_bin_2': 0.29746106266975403, 'redshifts/mse_bin_3': 0.21680818498134613, 'redshifts/mse_bin_4': 0.23550376296043396, 'redshifts/mse_bin_5': 0.07422272861003876, 'redshifts/nmad': 0.1126919761300087, 'redshifts/nmad_bin_0': 0.2122846096754074, 'redshifts/nmad_bin_1': 0.13359245657920837, 'redshifts/nmad_bin_2': 0.0887213870882988, 'redshifts/nmad_bin_3': 0.07194679230451584, 'redshifts/nmad_bin_4': 0.06406678259372711, 'redshifts/nmad_bin_5': 0.03519484028220177, 'redshifts/outlier_fraction': 0.32773450016975403, 'redshifts/outlier_fraction_bin_0': 0.48955318331718445, 'redshifts/outlier_fraction_bin_1': 0.3554079830646515, 'redshifts/outlier_fraction_bin_2': 0.2606078088283539, 'redshifts/outlier_fraction_bin_3': 0.19943532347679138, 'redshifts/outlier_fraction_bin_4': 0.1914261430501938, 'redshifts/outlier_fraction_bin_5': 0.09348686784505844, 'redshifts/outlier_fraction_cata': 0.08932553231716156, 'redshifts/outlier_fraction_cata_bin_0': 0.13340997695922852, 'redshifts/outlier_fraction_cata_bin_1': 0.09775065630674362, 'redshifts/outlier_fraction_cata_bin_2': 0.08127866685390472, 'redshifts/outlier_fraction_cata_bin_3': 0.0564681738615036, 'redshifts/outlier_fraction_cata_bin_4': 0.06069609522819519, 'redshifts/outlier_fraction_cata_bin_5': 0.017272399738430977}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 70%|███████ | 1101/1563 [1:46:02<38:52, 5.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69119.])\n", + "total num of pts: tensor([25244., 16731., 6981., 3897., 2356., 13910.])\n", + "{'redshifts/bias_abs': 0.076143279671669, 'redshifts/bias_abs_bin_0': 0.14497923851013184, 'redshifts/bias_abs_bin_1': 0.09043076634407043, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004690617322921753, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.006112746428698301, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.3135944604873657, 'redshifts/mse_bin_0': 0.4401058256626129, 'redshifts/mse_bin_1': 0.36167997121810913, 'redshifts/mse_bin_2': 0.2983839213848114, 'redshifts/mse_bin_3': 0.21675312519073486, 'redshifts/mse_bin_4': 0.23550376296043396, 'redshifts/mse_bin_5': 0.07415293157100677, 'redshifts/nmad': 0.11269643157720566, 'redshifts/nmad_bin_0': 0.21219123899936676, 'redshifts/nmad_bin_1': 0.1337100863456726, 'redshifts/nmad_bin_2': 0.08881855010986328, 'redshifts/nmad_bin_3': 0.07187890261411667, 'redshifts/nmad_bin_4': 0.06406678259372711, 'redshifts/nmad_bin_5': 0.03518345579504967, 'redshifts/outlier_fraction': 0.3277246356010437, 'redshifts/outlier_fraction_bin_0': 0.4894232153892517, 'redshifts/outlier_fraction_bin_1': 0.3555675148963928, 'redshifts/outlier_fraction_bin_2': 0.2608508765697479, 'redshifts/outlier_fraction_bin_3': 0.19938413798809052, 'redshifts/outlier_fraction_bin_4': 0.1914261430501938, 'redshifts/outlier_fraction_bin_5': 0.09338605403900146, 'redshifts/outlier_fraction_cata': 0.0894254818558693, 'redshifts/outlier_fraction_cata_bin_0': 0.13345745205879211, 'redshifts/outlier_fraction_cata_bin_1': 0.09796186536550522, 'redshifts/outlier_fraction_cata_bin_2': 0.08165019005537033, 'redshifts/outlier_fraction_cata_bin_3': 0.056453682482242584, 'redshifts/outlier_fraction_cata_bin_4': 0.06069609522819519, 'redshifts/outlier_fraction_cata_bin_5': 0.017253775149583817}\n", + "total num of pts: tensor([69186.])\n", + "total num of pts: tensor([25272., 16747., 6985., 3901., 2358., 13923.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1102/1563 [1:46:08<40:45, 5.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07613422721624374, 'redshifts/bias_abs_bin_0': 0.1449902206659317, 'redshifts/bias_abs_bin_1': 0.09043076634407043, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04778711125254631, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023757752031087875, 'redshifts/bias': 0.004690617322921753, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00019935096497647464, 'redshifts/mse': 0.313740611076355, 'redshifts/mse_bin_0': 0.44034427404403687, 'redshifts/mse_bin_1': 0.36196771264076233, 'redshifts/mse_bin_2': 0.29827070236206055, 'redshifts/mse_bin_3': 0.2165413647890091, 'redshifts/mse_bin_4': 0.23530517518520355, 'redshifts/mse_bin_5': 0.07420694082975388, 'redshifts/nmad': 0.11268717050552368, 'redshifts/nmad_bin_0': 0.2122025042772293, 'redshifts/nmad_bin_1': 0.13371534645557404, 'redshifts/nmad_bin_2': 0.08874447643756866, 'redshifts/nmad_bin_3': 0.07184190303087234, 'redshifts/nmad_bin_4': 0.06398415565490723, 'redshifts/nmad_bin_5': 0.035192012786865234, 'redshifts/outlier_fraction': 0.3277397155761719, 'redshifts/outlier_fraction_bin_0': 0.48943495750427246, 'redshifts/outlier_fraction_bin_1': 0.35558608174324036, 'redshifts/outlier_fraction_bin_2': 0.2608446776866913, 'redshifts/outlier_fraction_bin_3': 0.19917969405651093, 'redshifts/outlier_fraction_bin_4': 0.19126377999782562, 'redshifts/outlier_fraction_bin_5': 0.09344250708818436, 'redshifts/outlier_fraction_cata': 0.089497871696949, 'redshifts/outlier_fraction_cata_bin_0': 0.1335865706205368, 'redshifts/outlier_fraction_cata_bin_1': 0.0980474129319191, 'redshifts/outlier_fraction_cata_bin_2': 0.08160343766212463, 'redshifts/outlier_fraction_cata_bin_3': 0.056395795196294785, 'redshifts/outlier_fraction_cata_bin_4': 0.060644615441560745, 'redshifts/outlier_fraction_cata_bin_5': 0.017309488728642464}\n", + "total num of pts: tensor([69264.])\n", + "total num of pts: tensor([25299., 16767., 6990., 3906., 2362., 13940.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1103/1563 [1:46:13<40:32, 5.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07613422721624374, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04778711125254631, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004679603036493063, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00017907973960973322, 'redshifts/mse': 0.3137584626674652, 'redshifts/mse_bin_0': 0.44055986404418945, 'redshifts/mse_bin_1': 0.361958384513855, 'redshifts/mse_bin_2': 0.2981497347354889, 'redshifts/mse_bin_3': 0.21630191802978516, 'redshifts/mse_bin_4': 0.2349368780851364, 'redshifts/mse_bin_5': 0.07414625585079193, 'redshifts/nmad': 0.11268490552902222, 'redshifts/nmad_bin_0': 0.21218213438987732, 'redshifts/nmad_bin_1': 0.13360163569450378, 'redshifts/nmad_bin_2': 0.08862629532814026, 'redshifts/nmad_bin_3': 0.07184190303087234, 'redshifts/nmad_bin_4': 0.06398415565490723, 'redshifts/nmad_bin_5': 0.03520773723721504, 'redshifts/outlier_fraction': 0.3276738226413727, 'redshifts/outlier_fraction_bin_0': 0.4893473982810974, 'redshifts/outlier_fraction_bin_1': 0.35546013712882996, 'redshifts/outlier_fraction_bin_2': 0.26080113649368286, 'redshifts/outlier_fraction_bin_3': 0.1991807520389557, 'redshifts/outlier_fraction_bin_4': 0.19093988835811615, 'redshifts/outlier_fraction_bin_5': 0.09354376047849655, 'redshifts/outlier_fraction_cata': 0.08946927636861801, 'redshifts/outlier_fraction_cata_bin_0': 0.1335625946521759, 'redshifts/outlier_fraction_cata_bin_1': 0.09804973751306534, 'redshifts/outlier_fraction_cata_bin_2': 0.08154506236314774, 'redshifts/outlier_fraction_cata_bin_3': 0.05632360652089119, 'redshifts/outlier_fraction_cata_bin_4': 0.06054191291332245, 'redshifts/outlier_fraction_cata_bin_5': 0.01728837937116623}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1104/1563 [1:46:17<38:14, 5.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69330.])\n", + "total num of pts: tensor([25319., 16790., 6996., 3910., 2365., 13950.])\n", + "{'redshifts/bias_abs': 0.07615724205970764, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.059850677847862244, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004693859722465277, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.011120478622615337, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.006110359448939562, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00018761209503281862, 'redshifts/mse': 0.313660591840744, 'redshifts/mse_bin_0': 0.440561980009079, 'redshifts/mse_bin_1': 0.36168089509010315, 'redshifts/mse_bin_2': 0.29794448614120483, 'redshifts/mse_bin_3': 0.21626931428909302, 'redshifts/mse_bin_4': 0.23464053869247437, 'redshifts/mse_bin_5': 0.07411452382802963, 'redshifts/nmad': 0.11271105706691742, 'redshifts/nmad_bin_0': 0.21216844022274017, 'redshifts/nmad_bin_1': 0.13363432884216309, 'redshifts/nmad_bin_2': 0.08884508907794952, 'redshifts/nmad_bin_3': 0.07187536358833313, 'redshifts/nmad_bin_4': 0.06396317481994629, 'redshifts/nmad_bin_5': 0.035202506929636, 'redshifts/outlier_fraction': 0.3276215195655823, 'redshifts/outlier_fraction_bin_0': 0.48927682638168335, 'redshifts/outlier_fraction_bin_1': 0.35539010167121887, 'redshifts/outlier_fraction_bin_2': 0.2607204020023346, 'redshifts/outlier_fraction_bin_3': 0.19923274219036102, 'redshifts/outlier_fraction_bin_4': 0.19069766998291016, 'redshifts/outlier_fraction_bin_5': 0.09354838728904724, 'redshifts/outlier_fraction_cata': 0.08941294997930527, 'redshifts/outlier_fraction_cata_bin_0': 0.13349658250808716, 'redshifts/outlier_fraction_cata_bin_1': 0.0979749858379364, 'redshifts/outlier_fraction_cata_bin_2': 0.08147513121366501, 'redshifts/outlier_fraction_cata_bin_3': 0.05626598373055458, 'redshifts/outlier_fraction_cata_bin_4': 0.060465116053819656, 'redshifts/outlier_fraction_cata_bin_5': 0.017275985330343246}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1105/1563 [1:46:21<34:55, 4.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69395.])\n", + "total num of pts: tensor([25346., 16806., 7002., 3911., 2366., 13964.])\n", + "{'redshifts/bias_abs': 0.07615724205970764, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004693859722465277, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00017907973960973322, 'redshifts/mse': 0.31364279985427856, 'redshifts/mse_bin_0': 0.4407338798046112, 'redshifts/mse_bin_1': 0.3614799976348877, 'redshifts/mse_bin_2': 0.2977447211742401, 'redshifts/mse_bin_3': 0.2162143439054489, 'redshifts/mse_bin_4': 0.2345687597990036, 'redshifts/mse_bin_5': 0.0740426555275917, 'redshifts/nmad': 0.11271167546510696, 'redshifts/nmad_bin_0': 0.21215783059597015, 'redshifts/nmad_bin_1': 0.1336524933576584, 'redshifts/nmad_bin_2': 0.08881727606058121, 'redshifts/nmad_bin_3': 0.07185983657836914, 'redshifts/nmad_bin_4': 0.06396592408418655, 'redshifts/nmad_bin_5': 0.035173334181308746, 'redshifts/outlier_fraction': 0.3275452256202698, 'redshifts/outlier_fraction_bin_0': 0.48918962478637695, 'redshifts/outlier_fraction_bin_1': 0.3552897870540619, 'redshifts/outlier_fraction_bin_2': 0.26063981652259827, 'redshifts/outlier_fraction_bin_3': 0.19918179512023926, 'redshifts/outlier_fraction_bin_4': 0.19061706960201263, 'redshifts/outlier_fraction_bin_5': 0.09345459938049316, 'redshifts/outlier_fraction_cata': 0.08938684314489365, 'redshifts/outlier_fraction_cata_bin_0': 0.13351218402385712, 'redshifts/outlier_fraction_cata_bin_1': 0.09788171201944351, 'redshifts/outlier_fraction_cata_bin_2': 0.08140531182289124, 'redshifts/outlier_fraction_cata_bin_3': 0.05625159665942192, 'redshifts/outlier_fraction_cata_bin_4': 0.06043956056237221, 'redshifts/outlier_fraction_cata_bin_5': 0.017258664593100548}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1106/1563 [1:46:25<33:20, 4.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69455.])\n", + "total num of pts: tensor([25366., 16817., 7006., 3915., 2368., 13983.])\n", + "{'redshifts/bias_abs': 0.07615916430950165, 'redshifts/bias_abs_bin_0': 0.14496873319149017, 'redshifts/bias_abs_bin_1': 0.0903375893831253, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04778711125254631, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004679603036493063, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00017014109471347183, 'redshifts/mse': 0.3136276304721832, 'redshifts/mse_bin_0': 0.44088298082351685, 'redshifts/mse_bin_1': 0.36145883798599243, 'redshifts/mse_bin_2': 0.2975769340991974, 'redshifts/mse_bin_3': 0.21600522100925446, 'redshifts/mse_bin_4': 0.23489585518836975, 'redshifts/mse_bin_5': 0.0739593356847763, 'redshifts/nmad': 0.11272606253623962, 'redshifts/nmad_bin_0': 0.21220964193344116, 'redshifts/nmad_bin_1': 0.13367344439029694, 'redshifts/nmad_bin_2': 0.08875971287488937, 'redshifts/nmad_bin_3': 0.07185743004083633, 'redshifts/nmad_bin_4': 0.06392283737659454, 'redshifts/nmad_bin_5': 0.035175029188394547, 'redshifts/outlier_fraction': 0.3276222050189972, 'redshifts/outlier_fraction_bin_0': 0.48935583233833313, 'redshifts/outlier_fraction_bin_1': 0.35541415214538574, 'redshifts/outlier_fraction_bin_2': 0.2604910135269165, 'redshifts/outlier_fraction_bin_3': 0.19897828996181488, 'redshifts/outlier_fraction_bin_4': 0.19087837636470795, 'redshifts/outlier_fraction_bin_5': 0.09361367672681808, 'redshifts/outlier_fraction_cata': 0.0893816128373146, 'redshifts/outlier_fraction_cata_bin_0': 0.13352519273757935, 'redshifts/outlier_fraction_cata_bin_1': 0.0978771448135376, 'redshifts/outlier_fraction_cata_bin_2': 0.08135883510112762, 'redshifts/outlier_fraction_cata_bin_3': 0.05619412660598755, 'redshifts/outlier_fraction_cata_bin_4': 0.06081081181764603, 'redshifts/outlier_fraction_cata_bin_5': 0.01723521389067173}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1107/1563 [1:46:30<34:34, 4.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69526.])\n", + "total num of pts: tensor([25397., 16835., 7010., 3922., 2371., 13991.])\n", + "{'redshifts/bias_abs': 0.07616924494504929, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09047881513834, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004685563500970602, 'redshifts/bias_bin_0': 0.02941272407770157, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.3137259781360626, 'redshifts/mse_bin_0': 0.4409760534763336, 'redshifts/mse_bin_1': 0.3613051474094391, 'redshifts/mse_bin_2': 0.29742664098739624, 'redshifts/mse_bin_3': 0.21652749180793762, 'redshifts/mse_bin_4': 0.234662726521492, 'redshifts/mse_bin_5': 0.07429597526788712, 'redshifts/nmad': 0.1127588078379631, 'redshifts/nmad_bin_0': 0.2121894359588623, 'redshifts/nmad_bin_1': 0.13371534645557404, 'redshifts/nmad_bin_2': 0.08875971287488937, 'redshifts/nmad_bin_3': 0.07184510678052902, 'redshifts/nmad_bin_4': 0.06402449309825897, 'redshifts/nmad_bin_5': 0.035176098346710205, 'redshifts/outlier_fraction': 0.3277047574520111, 'redshifts/outlier_fraction_bin_0': 0.48923102021217346, 'redshifts/outlier_fraction_bin_1': 0.35550934076309204, 'redshifts/outlier_fraction_bin_2': 0.2604850232601166, 'redshifts/outlier_fraction_bin_3': 0.19964304566383362, 'redshifts/outlier_fraction_bin_4': 0.1914803832769394, 'redshifts/outlier_fraction_bin_5': 0.09370309114456177, 'redshifts/outlier_fraction_cata': 0.08939101547002792, 'redshifts/outlier_fraction_cata_bin_0': 0.13355907797813416, 'redshifts/outlier_fraction_cata_bin_1': 0.0977725014090538, 'redshifts/outlier_fraction_cata_bin_2': 0.08131241053342819, 'redshifts/outlier_fraction_cata_bin_3': 0.05634880065917969, 'redshifts/outlier_fraction_cata_bin_4': 0.060733865946531296, 'redshifts/outlier_fraction_cata_bin_5': 0.01729683391749859}\n", + "total num of pts: tensor([69580.])\n", + "total num of pts: tensor([25416., 16851., 7013., 3925., 2373., 14002.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1108/1563 [1:46:39<44:32, 5.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07619885355234146, 'redshifts/bias_abs_bin_0': 0.14497195184230804, 'redshifts/bias_abs_bin_1': 0.09043076634407043, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023743191733956337, 'redshifts/bias': 0.004700779914855957, 'redshifts/bias_bin_0': 0.029435021802783012, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.3138384222984314, 'redshifts/mse_bin_0': 0.44105902314186096, 'redshifts/mse_bin_1': 0.3613559305667877, 'redshifts/mse_bin_2': 0.2980491816997528, 'redshifts/mse_bin_3': 0.21637003123760223, 'redshifts/mse_bin_4': 0.23467426002025604, 'redshifts/mse_bin_5': 0.07437019050121307, 'redshifts/nmad': 0.11276794224977493, 'redshifts/nmad_bin_0': 0.2122257500886917, 'redshifts/nmad_bin_1': 0.13369038701057434, 'redshifts/nmad_bin_2': 0.08883987367153168, 'redshifts/nmad_bin_3': 0.07173873484134674, 'redshifts/nmad_bin_4': 0.06407178193330765, 'redshifts/nmad_bin_5': 0.03517858684062958, 'redshifts/outlier_fraction': 0.32778096199035645, 'redshifts/outlier_fraction_bin_0': 0.48941612243652344, 'redshifts/outlier_fraction_bin_1': 0.355409175157547, 'redshifts/outlier_fraction_bin_2': 0.26065877079963684, 'redshifts/outlier_fraction_bin_3': 0.19949044287204742, 'redshifts/outlier_fraction_bin_4': 0.19174040853977203, 'redshifts/outlier_fraction_bin_5': 0.09377232193946838, 'redshifts/outlier_fraction_cata': 0.08940787613391876, 'redshifts/outlier_fraction_cata_bin_0': 0.13357727229595184, 'redshifts/outlier_fraction_cata_bin_1': 0.09779834747314453, 'redshifts/outlier_fraction_cata_bin_2': 0.08142022043466568, 'redshifts/outlier_fraction_cata_bin_3': 0.05630573257803917, 'redshifts/outlier_fraction_cata_bin_4': 0.06068268045783043, 'redshifts/outlier_fraction_cata_bin_5': 0.01728324592113495}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1109/1563 [1:46:47<48:56, 6.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69637.])\n", + "total num of pts: tensor([25434., 16863., 7018., 3933., 2375., 14014.])\n", + "{'redshifts/bias_abs': 0.07620248943567276, 'redshifts/bias_abs_bin_0': 0.14496296644210815, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023757752031087875, 'redshifts/bias': 0.004690617322921753, 'redshifts/bias_bin_0': 0.029418975114822388, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.31380659341812134, 'redshifts/mse_bin_0': 0.44087326526641846, 'redshifts/mse_bin_1': 0.36159443855285645, 'redshifts/mse_bin_2': 0.2981072962284088, 'redshifts/mse_bin_3': 0.21594971418380737, 'redshifts/mse_bin_4': 0.2348216027021408, 'redshifts/mse_bin_5': 0.07439973205327988, 'redshifts/nmad': 0.11278677731752396, 'redshifts/nmad_bin_0': 0.21220208704471588, 'redshifts/nmad_bin_1': 0.13372047245502472, 'redshifts/nmad_bin_2': 0.08874447643756866, 'redshifts/nmad_bin_3': 0.07173873484134674, 'redshifts/nmad_bin_4': 0.06407178193330765, 'redshifts/nmad_bin_5': 0.035195816308259964, 'redshifts/outlier_fraction': 0.3277711570262909, 'redshifts/outlier_fraction_bin_0': 0.489344984292984, 'redshifts/outlier_fraction_bin_1': 0.35557135939598083, 'redshifts/outlier_fraction_bin_2': 0.2606155574321747, 'redshifts/outlier_fraction_bin_3': 0.19908466935157776, 'redshifts/outlier_fraction_bin_4': 0.19200000166893005, 'redshifts/outlier_fraction_bin_5': 0.09383473545312881, 'redshifts/outlier_fraction_cata': 0.0894208550453186, 'redshifts/outlier_fraction_cata_bin_0': 0.13352206349372864, 'redshifts/outlier_fraction_cata_bin_1': 0.09796596318483353, 'redshifts/outlier_fraction_cata_bin_2': 0.0815047025680542, 'redshifts/outlier_fraction_cata_bin_3': 0.056191202253103256, 'redshifts/outlier_fraction_cata_bin_4': 0.06063158065080643, 'redshifts/outlier_fraction_cata_bin_5': 0.01726844534277916}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1110/1563 [1:46:54<52:08, 6.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69703.])\n", + "total num of pts: tensor([25458., 16879., 7023., 3939., 2375., 14029.])\n", + "{'redshifts/bias_abs': 0.07620248943567276, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09052722901105881, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023757752031087875, 'redshifts/bias': 0.004692857153713703, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00014220314915291965, 'redshifts/mse': 0.31380775570869446, 'redshifts/mse_bin_0': 0.44076287746429443, 'redshifts/mse_bin_1': 0.361569881439209, 'redshifts/mse_bin_2': 0.29794517159461975, 'redshifts/mse_bin_3': 0.21593350172042847, 'redshifts/mse_bin_4': 0.2348216027021408, 'redshifts/mse_bin_5': 0.07475234568119049, 'redshifts/nmad': 0.11279559880495071, 'redshifts/nmad_bin_0': 0.2121368944644928, 'redshifts/nmad_bin_1': 0.13375261425971985, 'redshifts/nmad_bin_2': 0.08881855010986328, 'redshifts/nmad_bin_3': 0.07173873484134674, 'redshifts/nmad_bin_4': 0.06407178193330765, 'redshifts/nmad_bin_5': 0.03519367426633835, 'redshifts/outlier_fraction': 0.32776206731796265, 'redshifts/outlier_fraction_bin_0': 0.48915860056877136, 'redshifts/outlier_fraction_bin_1': 0.3557082712650299, 'redshifts/outlier_fraction_bin_2': 0.2608571946620941, 'redshifts/outlier_fraction_bin_3': 0.19903528690338135, 'redshifts/outlier_fraction_bin_4': 0.19200000166893005, 'redshifts/outlier_fraction_bin_5': 0.09387697279453278, 'redshifts/outlier_fraction_cata': 0.0894366130232811, 'redshifts/outlier_fraction_cata_bin_0': 0.13351401686668396, 'redshifts/outlier_fraction_cata_bin_1': 0.09799158573150635, 'redshifts/outlier_fraction_cata_bin_2': 0.08144667744636536, 'redshifts/outlier_fraction_cata_bin_3': 0.05635948106646538, 'redshifts/outlier_fraction_cata_bin_4': 0.06063158065080643, 'redshifts/outlier_fraction_cata_bin_5': 0.017321262508630753}\n", + "total num of pts: tensor([69765.])\n", + "total num of pts: tensor([25484., 16901., 7027., 3939., 2377., 14037.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1111/1563 [1:46:59<46:40, 6.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624242454767227, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023743191733956337, 'redshifts/bias': 0.004700779914855957, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.3137809634208679, 'redshifts/mse_bin_0': 0.44063252210617065, 'redshifts/mse_bin_1': 0.36135274171829224, 'redshifts/mse_bin_2': 0.2984198331832886, 'redshifts/mse_bin_3': 0.21593350172042847, 'redshifts/mse_bin_4': 0.23486196994781494, 'redshifts/mse_bin_5': 0.07471499592065811, 'redshifts/nmad': 0.11282043159008026, 'redshifts/nmad_bin_0': 0.2121298909187317, 'redshifts/nmad_bin_1': 0.1337929517030716, 'redshifts/nmad_bin_2': 0.08881855010986328, 'redshifts/nmad_bin_3': 0.07173873484134674, 'redshifts/nmad_bin_4': 0.06411486119031906, 'redshifts/nmad_bin_5': 0.0351739227771759, 'redshifts/outlier_fraction': 0.32781481742858887, 'redshifts/outlier_fraction_bin_0': 0.4892089068889618, 'redshifts/outlier_fraction_bin_1': 0.3556594252586365, 'redshifts/outlier_fraction_bin_2': 0.2608509957790375, 'redshifts/outlier_fraction_bin_3': 0.19903528690338135, 'redshifts/outlier_fraction_bin_4': 0.19225914776325226, 'redshifts/outlier_fraction_bin_5': 0.09389470517635345, 'redshifts/outlier_fraction_cata': 0.08941446244716644, 'redshifts/outlier_fraction_cata_bin_0': 0.1334170401096344, 'redshifts/outlier_fraction_cata_bin_1': 0.09798236936330795, 'redshifts/outlier_fraction_cata_bin_2': 0.08154261857271194, 'redshifts/outlier_fraction_cata_bin_3': 0.05635948106646538, 'redshifts/outlier_fraction_cata_bin_4': 0.06058056280016899, 'redshifts/outlier_fraction_cata_bin_5': 0.01731139048933983}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1112/1563 [1:47:04<44:48, 5.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69816.])\n", + "total num of pts: tensor([25506., 16912., 7028., 3945., 2377., 14048.])\n", + "{'redshifts/bias_abs': 0.07624242454767227, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04778711125254631, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.0047012013383209705, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.31377387046813965, 'redshifts/mse_bin_0': 0.4406554400920868, 'redshifts/mse_bin_1': 0.3611801564693451, 'redshifts/mse_bin_2': 0.29841792583465576, 'redshifts/mse_bin_3': 0.21650400757789612, 'redshifts/mse_bin_4': 0.23486196994781494, 'redshifts/mse_bin_5': 0.07468041777610779, 'redshifts/nmad': 0.11281980574131012, 'redshifts/nmad_bin_0': 0.21214920282363892, 'redshifts/nmad_bin_1': 0.13376188278198242, 'redshifts/nmad_bin_2': 0.08883987367153168, 'redshifts/nmad_bin_3': 0.07165934890508652, 'redshifts/nmad_bin_4': 0.06411486119031906, 'redshifts/nmad_bin_5': 0.035178884863853455, 'redshifts/outlier_fraction': 0.3278045058250427, 'redshifts/outlier_fraction_bin_0': 0.48921823501586914, 'redshifts/outlier_fraction_bin_1': 0.35554635524749756, 'redshifts/outlier_fraction_bin_2': 0.26095616817474365, 'redshifts/outlier_fraction_bin_3': 0.19898605346679688, 'redshifts/outlier_fraction_bin_4': 0.19225914776325226, 'redshifts/outlier_fraction_bin_5': 0.09389236569404602, 'redshifts/outlier_fraction_cata': 0.08939211815595627, 'redshifts/outlier_fraction_cata_bin_0': 0.13338038325309753, 'redshifts/outlier_fraction_cata_bin_1': 0.09791863709688187, 'redshifts/outlier_fraction_cata_bin_2': 0.08153101801872253, 'redshifts/outlier_fraction_cata_bin_3': 0.05652724951505661, 'redshifts/outlier_fraction_cata_bin_4': 0.06058056280016899, 'redshifts/outlier_fraction_cata_bin_5': 0.017297836020588875}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████ | 1113/1563 [1:47:09<42:45, 5.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69890.])\n", + "total num of pts: tensor([25527., 16931., 7038., 3951., 2380., 14063.])\n", + "{'redshifts/bias_abs': 0.07624280452728271, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023757752031087875, 'redshifts/bias': 0.004693859722465277, 'redshifts/bias_bin_0': 0.02943645603954792, 'redshifts/bias_bin_1': 0.011133978143334389, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00013360381126403809, 'redshifts/mse': 0.31373339891433716, 'redshifts/mse_bin_0': 0.44069141149520874, 'redshifts/mse_bin_1': 0.36128857731819153, 'redshifts/mse_bin_2': 0.2980334460735321, 'redshifts/mse_bin_3': 0.21631169319152832, 'redshifts/mse_bin_4': 0.2345816195011139, 'redshifts/mse_bin_5': 0.07464823871850967, 'redshifts/nmad': 0.11283056437969208, 'redshifts/nmad_bin_0': 0.21217617392539978, 'redshifts/nmad_bin_1': 0.1337759792804718, 'redshifts/nmad_bin_2': 0.0887218788266182, 'redshifts/nmad_bin_3': 0.07179570198059082, 'redshifts/nmad_bin_4': 0.0641281008720398, 'redshifts/nmad_bin_5': 0.035205092281103134, 'redshifts/outlier_fraction': 0.32778653502464294, 'redshifts/outlier_fraction_bin_0': 0.48920750617980957, 'redshifts/outlier_fraction_bin_1': 0.3555017411708832, 'redshifts/outlier_fraction_bin_2': 0.2607274651527405, 'redshifts/outlier_fraction_bin_3': 0.19969627261161804, 'redshifts/outlier_fraction_bin_4': 0.1920168101787567, 'redshifts/outlier_fraction_bin_5': 0.09393443912267685, 'redshifts/outlier_fraction_cata': 0.08941193670034409, 'redshifts/outlier_fraction_cata_bin_0': 0.13342735171318054, 'redshifts/outlier_fraction_cata_bin_1': 0.09804500639438629, 'redshifts/outlier_fraction_cata_bin_2': 0.08141517639160156, 'redshifts/outlier_fraction_cata_bin_3': 0.05644140765070915, 'redshifts/outlier_fraction_cata_bin_4': 0.06050420179963112, 'redshifts/outlier_fraction_cata_bin_5': 0.017279386520385742}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████▏ | 1114/1563 [1:47:15<42:44, 5.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([69941.])\n", + "total num of pts: tensor([25543., 16944., 7040., 3953., 2381., 14080.])\n", + "{'redshifts/bias_abs': 0.07622449845075607, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09054730832576752, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004693859722465277, 'redshifts/bias_bin_0': 0.02944476716220379, 'redshifts/bias_bin_1': 0.011200515553355217, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00012919306755065918, 'redshifts/mse': 0.31384286284446716, 'redshifts/mse_bin_0': 0.44057008624076843, 'redshifts/mse_bin_1': 0.3612435758113861, 'redshifts/mse_bin_2': 0.29926156997680664, 'redshifts/mse_bin_3': 0.2178110033273697, 'redshifts/mse_bin_4': 0.2344835102558136, 'redshifts/mse_bin_5': 0.07457003742456436, 'redshifts/nmad': 0.1128101721405983, 'redshifts/nmad_bin_0': 0.21216385066509247, 'redshifts/nmad_bin_1': 0.13370752334594727, 'redshifts/nmad_bin_2': 0.08875971287488937, 'redshifts/nmad_bin_3': 0.07180650532245636, 'redshifts/nmad_bin_4': 0.0641281008720398, 'redshifts/nmad_bin_5': 0.035161733627319336, 'redshifts/outlier_fraction': 0.3277476727962494, 'redshifts/outlier_fraction_bin_0': 0.48917511105537415, 'redshifts/outlier_fraction_bin_1': 0.3554060459136963, 'redshifts/outlier_fraction_bin_2': 0.26093751192092896, 'redshifts/outlier_fraction_bin_3': 0.1998482197523117, 'redshifts/outlier_fraction_bin_4': 0.1919361650943756, 'redshifts/outlier_fraction_bin_5': 0.09389204531908035, 'redshifts/outlier_fraction_cata': 0.08940392732620239, 'redshifts/outlier_fraction_cata_bin_0': 0.1333829164505005, 'redshifts/outlier_fraction_cata_bin_1': 0.09802880138158798, 'redshifts/outlier_fraction_cata_bin_2': 0.08153408765792847, 'redshifts/outlier_fraction_cata_bin_3': 0.056665822863578796, 'redshifts/outlier_fraction_cata_bin_4': 0.06047879159450531, 'redshifts/outlier_fraction_cata_bin_5': 0.017258523032069206}\n", + "total num of pts: tensor([70007.])\n", + "total num of pts: tensor([25562., 16957., 7050., 3958., 2382., 14098.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████▏ | 1115/1563 [1:47:21<42:21, 5.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07622277736663818, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09061044454574585, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.00468229316174984, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.011152169667184353, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.31389960646629333, 'redshifts/mse_bin_0': 0.44035300612449646, 'redshifts/mse_bin_1': 0.36124998331069946, 'redshifts/mse_bin_2': 0.2996714413166046, 'redshifts/mse_bin_3': 0.21889770030975342, 'redshifts/mse_bin_4': 0.23438899219036102, 'redshifts/mse_bin_5': 0.07488436996936798, 'redshifts/nmad': 0.11281287670135498, 'redshifts/nmad_bin_0': 0.21202974021434784, 'redshifts/nmad_bin_1': 0.13378429412841797, 'redshifts/nmad_bin_2': 0.08860926330089569, 'redshifts/nmad_bin_3': 0.07181144505739212, 'redshifts/nmad_bin_4': 0.0641281008720398, 'redshifts/nmad_bin_5': 0.03515774384140968, 'redshifts/outlier_fraction': 0.327752947807312, 'redshifts/outlier_fraction_bin_0': 0.488928884267807, 'redshifts/outlier_fraction_bin_1': 0.35566431283950806, 'redshifts/outlier_fraction_bin_2': 0.2611347436904907, 'redshifts/outlier_fraction_bin_3': 0.19984841346740723, 'redshifts/outlier_fraction_bin_4': 0.19185557961463928, 'redshifts/outlier_fraction_bin_5': 0.09412682801485062, 'redshifts/outlier_fraction_cata': 0.08940534293651581, 'redshifts/outlier_fraction_cata_bin_0': 0.13332289457321167, 'redshifts/outlier_fraction_cata_bin_1': 0.09801261872053146, 'redshifts/outlier_fraction_cata_bin_2': 0.08156028389930725, 'redshifts/outlier_fraction_cata_bin_3': 0.05684689059853554, 'redshifts/outlier_fraction_cata_bin_4': 0.060453400015830994, 'redshifts/outlier_fraction_cata_bin_5': 0.017378350719809532}\n", + "total num of pts: tensor([70059.])\n", + "total num of pts: tensor([25576., 16974., 7057., 3961., 2385., 14106.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████▏ | 1116/1563 [1:47:26<40:39, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07619885355234146, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004669431131333113, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00012642316869460046, 'redshifts/mse': 0.31376996636390686, 'redshifts/mse_bin_0': 0.44026413559913635, 'redshifts/mse_bin_1': 0.36094775795936584, 'redshifts/mse_bin_2': 0.29939594864845276, 'redshifts/mse_bin_3': 0.21873891353607178, 'redshifts/mse_bin_4': 0.23447014391422272, 'redshifts/mse_bin_5': 0.07493142038583755, 'redshifts/nmad': 0.11279469728469849, 'redshifts/nmad_bin_0': 0.21196138858795166, 'redshifts/nmad_bin_1': 0.1337476521730423, 'redshifts/nmad_bin_2': 0.08877149224281311, 'redshifts/nmad_bin_3': 0.07182224839925766, 'redshifts/nmad_bin_4': 0.06415052711963654, 'redshifts/nmad_bin_5': 0.03519417345523834, 'redshifts/outlier_fraction': 0.3276523947715759, 'redshifts/outlier_fraction_bin_0': 0.4887785315513611, 'redshifts/outlier_fraction_bin_1': 0.35554376244544983, 'redshifts/outlier_fraction_bin_2': 0.26087573170661926, 'redshifts/outlier_fraction_bin_3': 0.19969704747200012, 'redshifts/outlier_fraction_bin_4': 0.1920335441827774, 'redshifts/outlier_fraction_bin_5': 0.09421522915363312, 'redshifts/outlier_fraction_cata': 0.08938180655241013, 'redshifts/outlier_fraction_cata_bin_0': 0.1333281248807907, 'redshifts/outlier_fraction_cata_bin_1': 0.09791445732116699, 'redshifts/outlier_fraction_cata_bin_2': 0.08147938549518585, 'redshifts/outlier_fraction_cata_bin_3': 0.05680383741855621, 'redshifts/outlier_fraction_cata_bin_4': 0.06037735939025879, 'redshifts/outlier_fraction_cata_bin_5': 0.01743938773870468}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 71%|███████▏ | 1117/1563 [1:47:30<38:35, 5.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70110.])\n", + "total num of pts: tensor([25598., 16989., 7061., 3965., 2386., 14111.])\n", + "{'redshifts/bias_abs': 0.07620159536600113, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09065880626440048, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004652073141187429, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00012642316869460046, 'redshifts/mse': 0.3138982057571411, 'redshifts/mse_bin_0': 0.4400749206542969, 'redshifts/mse_bin_1': 0.36113259196281433, 'redshifts/mse_bin_2': 0.29922977089881897, 'redshifts/mse_bin_3': 0.21949279308319092, 'redshifts/mse_bin_4': 0.23437292873859406, 'redshifts/mse_bin_5': 0.07545062899589539, 'redshifts/nmad': 0.11281895637512207, 'redshifts/nmad_bin_0': 0.21185238659381866, 'redshifts/nmad_bin_1': 0.13380756974220276, 'redshifts/nmad_bin_2': 0.08856966346502304, 'redshifts/nmad_bin_3': 0.07182224839925766, 'redshifts/nmad_bin_4': 0.06415052711963654, 'redshifts/nmad_bin_5': 0.03519417345523834, 'redshifts/outlier_fraction': 0.3276708126068115, 'redshifts/outlier_fraction_bin_0': 0.488631933927536, 'redshifts/outlier_fraction_bin_1': 0.3557596206665039, 'redshifts/outlier_fraction_bin_2': 0.2607279419898987, 'redshifts/outlier_fraction_bin_3': 0.19974778592586517, 'redshifts/outlier_fraction_bin_4': 0.19195306301116943, 'redshifts/outlier_fraction_bin_5': 0.09425271302461624, 'redshifts/outlier_fraction_cata': 0.08941663056612015, 'redshifts/outlier_fraction_cata_bin_0': 0.13329166173934937, 'redshifts/outlier_fraction_cata_bin_1': 0.09800459444522858, 'redshifts/outlier_fraction_cata_bin_2': 0.08143322169780731, 'redshifts/outlier_fraction_cata_bin_3': 0.056998737156391144, 'redshifts/outlier_fraction_cata_bin_4': 0.06035205349326134, 'redshifts/outlier_fraction_cata_bin_5': 0.017504075542092323}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1118/1563 [1:47:35<37:09, 5.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70168.])\n", + "total num of pts: tensor([25621., 17004., 7071., 3966., 2387., 14119.])\n", + "{'redshifts/bias_abs': 0.07622567564249039, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09065880626440048, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004645819775760174, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010984551161527634, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.3140081465244293, 'redshifts/mse_bin_0': 0.4398592412471771, 'redshifts/mse_bin_1': 0.36156246066093445, 'redshifts/mse_bin_2': 0.2990563213825226, 'redshifts/mse_bin_3': 0.21943898499011993, 'redshifts/mse_bin_4': 0.23709611594676971, 'redshifts/mse_bin_5': 0.075414277613163, 'redshifts/nmad': 0.11284585297107697, 'redshifts/nmad_bin_0': 0.21187376976013184, 'redshifts/nmad_bin_1': 0.13379910588264465, 'redshifts/nmad_bin_2': 0.08857369422912598, 'redshifts/nmad_bin_3': 0.07179570198059082, 'redshifts/nmad_bin_4': 0.06417202949523926, 'redshifts/nmad_bin_5': 0.03518323972821236, 'redshifts/outlier_fraction': 0.327727735042572, 'redshifts/outlier_fraction_bin_0': 0.48862260580062866, 'redshifts/outlier_fraction_bin_1': 0.3557986319065094, 'redshifts/outlier_fraction_bin_2': 0.26092490553855896, 'redshifts/outlier_fraction_bin_3': 0.19969743490219116, 'redshifts/outlier_fraction_bin_4': 0.19229157269001007, 'redshifts/outlier_fraction_bin_5': 0.09427013248205185, 'redshifts/outlier_fraction_cata': 0.08941397815942764, 'redshifts/outlier_fraction_cata_bin_0': 0.13321103155612946, 'redshifts/outlier_fraction_cata_bin_1': 0.09809456765651703, 'redshifts/outlier_fraction_cata_bin_2': 0.08131805807352066, 'redshifts/outlier_fraction_cata_bin_3': 0.056984368711709976, 'redshifts/outlier_fraction_cata_bin_4': 0.06074570491909981, 'redshifts/outlier_fraction_cata_bin_5': 0.01749415695667267}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1119/1563 [1:47:40<37:58, 5.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70227.])\n", + "total num of pts: tensor([25639., 17018., 7083., 3970., 2388., 14129.])\n", + "{'redshifts/bias_abs': 0.07623326778411865, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09065880626440048, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004651601891964674, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00012440372665878385, 'redshifts/mse': 0.3139253854751587, 'redshifts/mse_bin_0': 0.4397667348384857, 'redshifts/mse_bin_1': 0.361360102891922, 'redshifts/mse_bin_2': 0.29901525378227234, 'redshifts/mse_bin_3': 0.21973566710948944, 'redshifts/mse_bin_4': 0.2370007187128067, 'redshifts/mse_bin_5': 0.07537437230348587, 'redshifts/nmad': 0.11284462362527847, 'redshifts/nmad_bin_0': 0.21184781193733215, 'redshifts/nmad_bin_1': 0.13378804922103882, 'redshifts/nmad_bin_2': 0.08856584131717682, 'redshifts/nmad_bin_3': 0.07179570198059082, 'redshifts/nmad_bin_4': 0.06417202949523926, 'redshifts/nmad_bin_5': 0.03520449250936508, 'redshifts/outlier_fraction': 0.3276517689228058, 'redshifts/outlier_fraction_bin_0': 0.4885135889053345, 'redshifts/outlier_fraction_bin_1': 0.35568222403526306, 'redshifts/outlier_fraction_bin_2': 0.2607652246952057, 'redshifts/outlier_fraction_bin_3': 0.19974811375141144, 'redshifts/outlier_fraction_bin_4': 0.1922110617160797, 'redshifts/outlier_fraction_bin_5': 0.09434496611356735, 'redshifts/outlier_fraction_cata': 0.08941005915403366, 'redshifts/outlier_fraction_cata_bin_0': 0.13323453068733215, 'redshifts/outlier_fraction_cata_bin_1': 0.09801387041807175, 'redshifts/outlier_fraction_cata_bin_2': 0.08132147043943405, 'redshifts/outlier_fraction_cata_bin_3': 0.057178840041160583, 'redshifts/outlier_fraction_cata_bin_4': 0.06072026863694191, 'redshifts/outlier_fraction_cata_bin_5': 0.01748177595436573}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1120/1563 [1:47:48<42:57, 5.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70291.])\n", + "total num of pts: tensor([25662., 17034., 7087., 3974., 2389., 14145.])\n", + "{'redshifts/bias_abs': 0.07620159536600113, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09065880626440048, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023757752031087875, 'redshifts/bias': 0.0046578943729400635, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010984551161527634, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00012642316869460046, 'redshifts/mse': 0.31393125653266907, 'redshifts/mse_bin_0': 0.43984436988830566, 'redshifts/mse_bin_1': 0.3614964187145233, 'redshifts/mse_bin_2': 0.2988712787628174, 'redshifts/mse_bin_3': 0.21953518688678741, 'redshifts/mse_bin_4': 0.23690176010131836, 'redshifts/mse_bin_5': 0.07529199123382568, 'redshifts/nmad': 0.11281583458185196, 'redshifts/nmad_bin_0': 0.21179740130901337, 'redshifts/nmad_bin_1': 0.13377797603607178, 'redshifts/nmad_bin_2': 0.08856584131717682, 'redshifts/nmad_bin_3': 0.07178395986557007, 'redshifts/nmad_bin_4': 0.06417202949523926, 'redshifts/nmad_bin_5': 0.03519444912672043, 'redshifts/outlier_fraction': 0.32762372493743896, 'redshifts/outlier_fraction_bin_0': 0.48846542835235596, 'redshifts/outlier_fraction_bin_1': 0.3558177649974823, 'redshifts/outlier_fraction_bin_2': 0.2607591450214386, 'redshifts/outlier_fraction_bin_3': 0.19954705238342285, 'redshifts/outlier_fraction_bin_4': 0.19213059544563293, 'redshifts/outlier_fraction_bin_5': 0.09423824399709702, 'redshifts/outlier_fraction_cata': 0.08942823112010956, 'redshifts/outlier_fraction_cata_bin_0': 0.1332709789276123, 'redshifts/outlier_fraction_cata_bin_1': 0.09809792041778564, 'redshifts/outlier_fraction_cata_bin_2': 0.081275574862957, 'redshifts/outlier_fraction_cata_bin_3': 0.057121288031339645, 'redshifts/outlier_fraction_cata_bin_4': 0.060694850981235504, 'redshifts/outlier_fraction_cata_bin_5': 0.017462000250816345}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1121/1563 [1:47:53<42:30, 5.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70347.])\n", + "total num of pts: tensor([25682., 17053., 7091., 3979., 2390., 14152.])\n", + "{'redshifts/bias_abs': 0.07620248943567276, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004651110619306564, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010984551161527634, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00012642316869460046, 'redshifts/mse': 0.31396210193634033, 'redshifts/mse_bin_0': 0.439770370721817, 'redshifts/mse_bin_1': 0.36168721318244934, 'redshifts/mse_bin_2': 0.29900479316711426, 'redshifts/mse_bin_3': 0.21940523386001587, 'redshifts/mse_bin_4': 0.23680450022220612, 'redshifts/mse_bin_5': 0.07525507360696793, 'redshifts/nmad': 0.11282184720039368, 'redshifts/nmad_bin_0': 0.21179859340190887, 'redshifts/nmad_bin_1': 0.13379910588264465, 'redshifts/nmad_bin_2': 0.08855690807104111, 'redshifts/nmad_bin_3': 0.07187286019325256, 'redshifts/nmad_bin_4': 0.06427481025457382, 'redshifts/nmad_bin_5': 0.03515762835741043, 'redshifts/outlier_fraction': 0.327618807554245, 'redshifts/outlier_fraction_bin_0': 0.48851335048675537, 'redshifts/outlier_fraction_bin_1': 0.3557145297527313, 'redshifts/outlier_fraction_bin_2': 0.2607530653476715, 'redshifts/outlier_fraction_bin_3': 0.19954761862754822, 'redshifts/outlier_fraction_bin_4': 0.19205020368099213, 'redshifts/outlier_fraction_bin_5': 0.09419163316488266, 'redshifts/outlier_fraction_cata': 0.08944233506917953, 'redshifts/outlier_fraction_cata_bin_0': 0.13328401744365692, 'redshifts/outlier_fraction_cata_bin_1': 0.09810590744018555, 'redshifts/outlier_fraction_cata_bin_2': 0.0813707485795021, 'redshifts/outlier_fraction_cata_bin_3': 0.05704950913786888, 'redshifts/outlier_fraction_cata_bin_4': 0.06066945567727089, 'redshifts/outlier_fraction_cata_bin_5': 0.01745336316525936}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1122/1563 [1:47:59<43:06, 5.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70413.])\n", + "total num of pts: tensor([25708., 17062., 7098., 3983., 2391., 14171.])\n", + "{'redshifts/bias_abs': 0.07623326778411865, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004644870758056641, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.31395918130874634, 'redshifts/mse_bin_0': 0.439927339553833, 'redshifts/mse_bin_1': 0.3616156280040741, 'redshifts/mse_bin_2': 0.29901185631752014, 'redshifts/mse_bin_3': 0.21924476325511932, 'redshifts/mse_bin_4': 0.23670561611652374, 'redshifts/mse_bin_5': 0.07519835978746414, 'redshifts/nmad': 0.11285210400819778, 'redshifts/nmad_bin_0': 0.21186761558055878, 'redshifts/nmad_bin_1': 0.13380029797554016, 'redshifts/nmad_bin_2': 0.08856648951768875, 'redshifts/nmad_bin_3': 0.07187286019325256, 'redshifts/nmad_bin_4': 0.06427481025457382, 'redshifts/nmad_bin_5': 0.03518323972821236, 'redshifts/outlier_fraction': 0.3276809751987457, 'redshifts/outlier_fraction_bin_0': 0.48868057131767273, 'redshifts/outlier_fraction_bin_1': 0.3557027280330658, 'redshifts/outlier_fraction_bin_2': 0.2609185576438904, 'redshifts/outlier_fraction_bin_3': 0.1995982974767685, 'redshifts/outlier_fraction_bin_4': 0.1919698864221573, 'redshifts/outlier_fraction_bin_5': 0.09420647472143173, 'redshifts/outlier_fraction_cata': 0.08947211503982544, 'redshifts/outlier_fraction_cata_bin_0': 0.13338260352611542, 'redshifts/outlier_fraction_cata_bin_1': 0.09811276197433472, 'redshifts/outlier_fraction_cata_bin_2': 0.08143138885498047, 'redshifts/outlier_fraction_cata_bin_3': 0.056992217898368835, 'redshifts/outlier_fraction_cata_bin_4': 0.060644082725048065, 'redshifts/outlier_fraction_cata_bin_5': 0.017429962754249573}\n", + "total num of pts: tensor([70463.])\n", + "total num of pts: tensor([25728., 17074., 7102., 3986., 2392., 14181.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1123/1563 [1:48:04<40:34, 5.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624280452728271, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004651601891964674, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00012440372665878385, 'redshifts/mse': 0.3139789402484894, 'redshifts/mse_bin_0': 0.4399367868900299, 'redshifts/mse_bin_1': 0.36157462000846863, 'redshifts/mse_bin_2': 0.29884785413742065, 'redshifts/mse_bin_3': 0.21952331066131592, 'redshifts/mse_bin_4': 0.23682209849357605, 'redshifts/mse_bin_5': 0.07529278844594955, 'redshifts/nmad': 0.11286624521017075, 'redshifts/nmad_bin_0': 0.21188585460186005, 'redshifts/nmad_bin_1': 0.133768230676651, 'redshifts/nmad_bin_2': 0.08856584131717682, 'redshifts/nmad_bin_3': 0.07174275070428848, 'redshifts/nmad_bin_4': 0.06426891684532166, 'redshifts/nmad_bin_5': 0.03520449250936508, 'redshifts/outlier_fraction': 0.32773229479789734, 'redshifts/outlier_fraction_bin_0': 0.48872822523117065, 'redshifts/outlier_fraction_bin_1': 0.3556870222091675, 'redshifts/outlier_fraction_bin_2': 0.26077160239219666, 'redshifts/outlier_fraction_bin_3': 0.19969893991947174, 'redshifts/outlier_fraction_bin_4': 0.19230769574642181, 'redshifts/outlier_fraction_bin_5': 0.09435159713029861, 'redshifts/outlier_fraction_cata': 0.08950796723365784, 'redshifts/outlier_fraction_cata_bin_0': 0.13343438506126404, 'redshifts/outlier_fraction_cata_bin_1': 0.0981023758649826, 'redshifts/outlier_fraction_cata_bin_2': 0.0813855230808258, 'redshifts/outlier_fraction_cata_bin_3': 0.057200200855731964, 'redshifts/outlier_fraction_cata_bin_4': 0.06061872839927673, 'redshifts/outlier_fraction_cata_bin_5': 0.017488189041614532}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1124/1563 [1:48:10<40:25, 5.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70522.])\n", + "total num of pts: tensor([25754., 17087., 7106., 3986., 2394., 14195.])\n", + "{'redshifts/bias_abs': 0.0762476995587349, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004652073141187429, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010968540795147419, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.31400373578071594, 'redshifts/mse_bin_0': 0.4400322735309601, 'redshifts/mse_bin_1': 0.3614426255226135, 'redshifts/mse_bin_2': 0.2987818717956543, 'redshifts/mse_bin_3': 0.21952331066131592, 'redshifts/mse_bin_4': 0.23792697489261627, 'redshifts/mse_bin_5': 0.075224369764328, 'redshifts/nmad': 0.11288125067949295, 'redshifts/nmad_bin_0': 0.21189263463020325, 'redshifts/nmad_bin_1': 0.13375425338745117, 'redshifts/nmad_bin_2': 0.08858823776245117, 'redshifts/nmad_bin_3': 0.07174275070428848, 'redshifts/nmad_bin_4': 0.06431861221790314, 'redshifts/nmad_bin_5': 0.035211991518735886, 'redshifts/outlier_fraction': 0.32774171233177185, 'redshifts/outlier_fraction_bin_0': 0.4887007772922516, 'redshifts/outlier_fraction_bin_1': 0.3557090163230896, 'redshifts/outlier_fraction_bin_2': 0.26076555252075195, 'redshifts/outlier_fraction_bin_3': 0.19969893991947174, 'redshifts/outlier_fraction_bin_4': 0.19298245012760162, 'redshifts/outlier_fraction_bin_5': 0.09425853937864304, 'redshifts/outlier_fraction_cata': 0.08950398117303848, 'redshifts/outlier_fraction_cata_bin_0': 0.13341616094112396, 'redshifts/outlier_fraction_cata_bin_1': 0.09808626770973206, 'redshifts/outlier_fraction_cata_bin_2': 0.08133970946073532, 'redshifts/outlier_fraction_cata_bin_3': 0.057200200855731964, 'redshifts/outlier_fraction_cata_bin_4': 0.06098579615354538, 'redshifts/outlier_fraction_cata_bin_5': 0.017470940947532654}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1125/1563 [1:48:15<39:17, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70571.])\n", + "total num of pts: tensor([25771., 17098., 7109., 3988., 2396., 14209.])\n", + "{'redshifts/bias_abs': 0.07627260684967041, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.059760432690382004, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004649519920349121, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.3141977787017822, 'redshifts/mse_bin_0': 0.4399736821651459, 'redshifts/mse_bin_1': 0.3620108366012573, 'redshifts/mse_bin_2': 0.2997916042804718, 'redshifts/mse_bin_3': 0.2194240391254425, 'redshifts/mse_bin_4': 0.2377442568540573, 'redshifts/mse_bin_5': 0.07523941248655319, 'redshifts/nmad': 0.11290685832500458, 'redshifts/nmad_bin_0': 0.21192705631256104, 'redshifts/nmad_bin_1': 0.13385552167892456, 'redshifts/nmad_bin_2': 0.08859717845916748, 'redshifts/nmad_bin_3': 0.07174301892518997, 'redshifts/nmad_bin_4': 0.06431271135807037, 'redshifts/nmad_bin_5': 0.03521256521344185, 'redshifts/outlier_fraction': 0.3277691900730133, 'redshifts/outlier_fraction_bin_0': 0.4887276291847229, 'redshifts/outlier_fraction_bin_1': 0.3558310866355896, 'redshifts/outlier_fraction_bin_2': 0.26093682646751404, 'redshifts/outlier_fraction_bin_3': 0.1995987892150879, 'redshifts/outlier_fraction_bin_4': 0.19282136857509613, 'redshifts/outlier_fraction_bin_5': 0.09423604607582092, 'redshifts/outlier_fraction_cata': 0.08954103291034698, 'redshifts/outlier_fraction_cata_bin_0': 0.13336695730686188, 'redshifts/outlier_fraction_cata_bin_1': 0.09819862246513367, 'redshifts/outlier_fraction_cata_bin_2': 0.08158671855926514, 'redshifts/outlier_fraction_cata_bin_3': 0.05717151612043381, 'redshifts/outlier_fraction_cata_bin_4': 0.0609348900616169, 'redshifts/outlier_fraction_cata_bin_5': 0.017524104565382004}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1126/1563 [1:48:19<37:25, 5.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70626.])\n", + "total num of pts: tensor([25793., 17113., 7114., 3991., 2397., 14218.])\n", + "{'redshifts/bias_abs': 0.07624242454767227, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.059760432690382004, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004629387520253658, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00013360381126403809, 'redshifts/mse': 0.31419917941093445, 'redshifts/mse_bin_0': 0.43989482522010803, 'redshifts/mse_bin_1': 0.3619100749492645, 'redshifts/mse_bin_2': 0.2996049225330353, 'redshifts/mse_bin_3': 0.22071778774261475, 'redshifts/mse_bin_4': 0.2376452088356018, 'redshifts/mse_bin_5': 0.07519420236349106, 'redshifts/nmad': 0.11287755519151688, 'redshifts/nmad_bin_0': 0.21181228756904602, 'redshifts/nmad_bin_1': 0.13373540341854095, 'redshifts/nmad_bin_2': 0.08862842619419098, 'redshifts/nmad_bin_3': 0.07174301892518997, 'redshifts/nmad_bin_4': 0.06417202949523926, 'redshifts/nmad_bin_5': 0.035206425935029984, 'redshifts/outlier_fraction': 0.32768386602401733, 'redshifts/outlier_fraction_bin_0': 0.48858216404914856, 'redshifts/outlier_fraction_bin_1': 0.35575294494628906, 'redshifts/outlier_fraction_bin_2': 0.26075345277786255, 'redshifts/outlier_fraction_bin_3': 0.19969932734966278, 'redshifts/outlier_fraction_bin_4': 0.19274093210697174, 'redshifts/outlier_fraction_bin_5': 0.09417639672756195, 'redshifts/outlier_fraction_cata': 0.08952793478965759, 'redshifts/outlier_fraction_cata_bin_0': 0.13333074748516083, 'redshifts/outlier_fraction_cata_bin_1': 0.09817098081111908, 'redshifts/outlier_fraction_cata_bin_2': 0.08152937889099121, 'redshifts/outlier_fraction_cata_bin_3': 0.0573791041970253, 'redshifts/outlier_fraction_cata_bin_4': 0.060909468680620193, 'redshifts/outlier_fraction_cata_bin_5': 0.017513012513518333}\n", + "total num of pts: tensor([70672.])\n", + "total num of pts: tensor([25812., 17128., 7117., 3994., 2397., 14224.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1127/1563 [1:48:23<34:30, 4.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624280452728271, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004628235474228859, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00013080239295959473, 'redshifts/mse': 0.31418436765670776, 'redshifts/mse_bin_0': 0.4399748742580414, 'redshifts/mse_bin_1': 0.36168956756591797, 'redshifts/mse_bin_2': 0.2994798719882965, 'redshifts/mse_bin_3': 0.22057616710662842, 'redshifts/mse_bin_4': 0.2376452088356018, 'redshifts/mse_bin_5': 0.07524839788675308, 'redshifts/nmad': 0.11289186030626297, 'redshifts/nmad_bin_0': 0.2118436098098755, 'redshifts/nmad_bin_1': 0.13367831707000732, 'redshifts/nmad_bin_2': 0.08862955868244171, 'redshifts/nmad_bin_3': 0.07178395986557007, 'redshifts/nmad_bin_4': 0.06417202949523926, 'redshifts/nmad_bin_5': 0.03521057963371277, 'redshifts/outlier_fraction': 0.32768282294273376, 'redshifts/outlier_fraction_bin_0': 0.4886486828327179, 'redshifts/outlier_fraction_bin_1': 0.3555581569671631, 'redshifts/outlier_fraction_bin_2': 0.26064354181289673, 'redshifts/outlier_fraction_bin_3': 0.19979970157146454, 'redshifts/outlier_fraction_bin_4': 0.19274093210697174, 'redshifts/outlier_fraction_bin_5': 0.09420697391033173, 'redshifts/outlier_fraction_cata': 0.089554563164711, 'redshifts/outlier_fraction_cata_bin_0': 0.13342630863189697, 'redshifts/outlier_fraction_cata_bin_1': 0.09808500856161118, 'redshifts/outlier_fraction_cata_bin_2': 0.0814950093626976, 'redshifts/outlier_fraction_cata_bin_3': 0.057336002588272095, 'redshifts/outlier_fraction_cata_bin_4': 0.060909468680620193, 'redshifts/outlier_fraction_cata_bin_5': 0.017575927078723907}\n", + "total num of pts: tensor([70729.])\n", + "total num of pts: tensor([25834., 17141., 7126., 3995., 2397., 14236.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1128/1563 [1:48:28<34:05, 4.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07626644521951675, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05966709181666374, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023757752031087875, 'redshifts/bias': 0.004644870758056641, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010968540795147419, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.31424134969711304, 'redshifts/mse_bin_0': 0.4399035573005676, 'redshifts/mse_bin_1': 0.3616136312484741, 'redshifts/mse_bin_2': 0.30055275559425354, 'redshifts/mse_bin_3': 0.2205212563276291, 'redshifts/mse_bin_4': 0.2376452088356018, 'redshifts/mse_bin_5': 0.07521003484725952, 'redshifts/nmad': 0.11291375011205673, 'redshifts/nmad_bin_0': 0.2118436098098755, 'redshifts/nmad_bin_1': 0.1337859183549881, 'redshifts/nmad_bin_2': 0.08859751373529434, 'redshifts/nmad_bin_3': 0.07178395986557007, 'redshifts/nmad_bin_4': 0.06417202949523926, 'redshifts/nmad_bin_5': 0.035195816308259964, 'redshifts/outlier_fraction': 0.3277297914028168, 'redshifts/outlier_fraction_bin_0': 0.4886970520019531, 'redshifts/outlier_fraction_bin_1': 0.3556385338306427, 'redshifts/outlier_fraction_bin_2': 0.26073533296585083, 'redshifts/outlier_fraction_bin_3': 0.19974969327449799, 'redshifts/outlier_fraction_bin_4': 0.19274093210697174, 'redshifts/outlier_fraction_bin_5': 0.09419780969619751, 'redshifts/outlier_fraction_cata': 0.08956722170114517, 'redshifts/outlier_fraction_cata_bin_0': 0.13342881202697754, 'redshifts/outlier_fraction_cata_bin_1': 0.0980689600110054, 'redshifts/outlier_fraction_cata_bin_2': 0.08167275041341782, 'redshifts/outlier_fraction_cata_bin_3': 0.05732165277004242, 'redshifts/outlier_fraction_cata_bin_4': 0.060909468680620193, 'redshifts/outlier_fraction_cata_bin_5': 0.017561113461852074}\n", + "total num of pts: tensor([70795.])\n", + "total num of pts: tensor([25864., 17156., 7131., 3999., 2400., 14245.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1129/1563 [1:48:32<32:18, 4.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07629603147506714, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004644870758056641, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010968540795147419, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.31410425901412964, 'redshifts/mse_bin_0': 0.4397223889827728, 'redshifts/mse_bin_1': 0.361406534910202, 'redshifts/mse_bin_2': 0.3003467917442322, 'redshifts/mse_bin_3': 0.22037293016910553, 'redshifts/mse_bin_4': 0.23741866648197174, 'redshifts/mse_bin_5': 0.07517409324645996, 'redshifts/nmad': 0.1129162460565567, 'redshifts/nmad_bin_0': 0.21183182299137115, 'redshifts/nmad_bin_1': 0.13375425338745117, 'redshifts/nmad_bin_2': 0.08860757201910019, 'redshifts/nmad_bin_3': 0.0719258189201355, 'redshifts/nmad_bin_4': 0.06427481025457382, 'redshifts/nmad_bin_5': 0.03520752489566803, 'redshifts/outlier_fraction': 0.32772088050842285, 'redshifts/outlier_fraction_bin_0': 0.4885941743850708, 'redshifts/outlier_fraction_bin_1': 0.3556773066520691, 'redshifts/outlier_fraction_bin_2': 0.2605525255203247, 'redshifts/outlier_fraction_bin_3': 0.19979995489120483, 'redshifts/outlier_fraction_bin_4': 0.1929166615009308, 'redshifts/outlier_fraction_bin_5': 0.0942084938287735, 'redshifts/outlier_fraction_cata': 0.08952609449625015, 'redshifts/outlier_fraction_cata_bin_0': 0.1333513706922531, 'redshifts/outlier_fraction_cata_bin_1': 0.09804150462150574, 'redshifts/outlier_fraction_cata_bin_2': 0.08161548525094986, 'redshifts/outlier_fraction_cata_bin_3': 0.05726431682705879, 'redshifts/outlier_fraction_cata_bin_4': 0.06083333492279053, 'redshifts/outlier_fraction_cata_bin_5': 0.017550017684698105}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1130/1563 [1:48:36<31:26, 4.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70849.])\n", + "total num of pts: tensor([25883., 17165., 7136., 4001., 2401., 14263.])\n", + "{'redshifts/bias_abs': 0.07629750669002533, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004645819775760174, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00013360381126403809, 'redshifts/mse': 0.3141680955886841, 'redshifts/mse_bin_0': 0.43970149755477905, 'redshifts/mse_bin_1': 0.3612901568412781, 'redshifts/mse_bin_2': 0.3009970188140869, 'redshifts/mse_bin_3': 0.22027181088924408, 'redshifts/mse_bin_4': 0.2373199164867401, 'redshifts/mse_bin_5': 0.07551652193069458, 'redshifts/nmad': 0.11291765421628952, 'redshifts/nmad_bin_0': 0.2118436098098755, 'redshifts/nmad_bin_1': 0.1337427943944931, 'redshifts/nmad_bin_2': 0.08860757201910019, 'redshifts/nmad_bin_3': 0.0719415619969368, 'redshifts/nmad_bin_4': 0.06427481025457382, 'redshifts/nmad_bin_5': 0.0352119542658329, 'redshifts/outlier_fraction': 0.327668696641922, 'redshifts/outlier_fraction_bin_0': 0.4885059595108032, 'redshifts/outlier_fraction_bin_1': 0.3556073307991028, 'redshifts/outlier_fraction_bin_2': 0.2606502175331116, 'redshifts/outlier_fraction_bin_3': 0.19970007240772247, 'redshifts/outlier_fraction_bin_4': 0.19283631443977356, 'redshifts/outlier_fraction_bin_5': 0.09429993480443954, 'redshifts/outlier_fraction_cata': 0.08951432257890701, 'redshifts/outlier_fraction_cata_bin_0': 0.13333076238632202, 'redshifts/outlier_fraction_cata_bin_1': 0.09799009561538696, 'redshifts/outlier_fraction_cata_bin_2': 0.08169843256473541, 'redshifts/outlier_fraction_cata_bin_3': 0.05723569169640541, 'redshifts/outlier_fraction_cata_bin_4': 0.06080799549818039, 'redshifts/outlier_fraction_cata_bin_5': 0.017597980797290802}\n", + "total num of pts: tensor([70906.])\n", + "total num of pts: tensor([25911., 17170., 7141., 4006., 2402., 14276.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1131/1563 [1:48:41<32:42, 4.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07629765570163727, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05961795523762703, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004649519920349121, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.31407952308654785, 'redshifts/mse_bin_0': 0.43956637382507324, 'redshifts/mse_bin_1': 0.36131760478019714, 'redshifts/mse_bin_2': 0.3007984161376953, 'redshifts/mse_bin_3': 0.22004632651805878, 'redshifts/mse_bin_4': 0.23726792633533478, 'redshifts/mse_bin_5': 0.07545763999223709, 'redshifts/nmad': 0.11292341351509094, 'redshifts/nmad_bin_0': 0.21179649233818054, 'redshifts/nmad_bin_1': 0.133768230676651, 'redshifts/nmad_bin_2': 0.08849512040615082, 'redshifts/nmad_bin_3': 0.07187504321336746, 'redshifts/nmad_bin_4': 0.06427481025457382, 'redshifts/nmad_bin_5': 0.035209525376558304, 'redshifts/outlier_fraction': 0.3276732563972473, 'redshifts/outlier_fraction_bin_0': 0.4885183870792389, 'redshifts/outlier_fraction_bin_1': 0.35562026500701904, 'redshifts/outlier_fraction_bin_2': 0.2606077492237091, 'redshifts/outlier_fraction_bin_3': 0.19970044493675232, 'redshifts/outlier_fraction_bin_4': 0.1927560418844223, 'redshifts/outlier_fraction_bin_5': 0.09428410977125168, 'redshifts/outlier_fraction_cata': 0.08948466926813126, 'redshifts/outlier_fraction_cata_bin_0': 0.13326387107372284, 'redshifts/outlier_fraction_cata_bin_1': 0.0980198010802269, 'redshifts/outlier_fraction_cata_bin_2': 0.08164122700691223, 'redshifts/outlier_fraction_cata_bin_3': 0.05716425180435181, 'redshifts/outlier_fraction_cata_bin_4': 0.06078268215060234, 'redshifts/outlier_fraction_cata_bin_5': 0.017581956461071968}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1132/1563 [1:48:45<31:46, 4.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([70974.])\n", + "total num of pts: tensor([25935., 17185., 7149., 4008., 2405., 14292.])\n", + "{'redshifts/bias_abs': 0.07629750669002533, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004630311392247677, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010968540795147419, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.31395381689071655, 'redshifts/mse_bin_0': 0.4393463730812073, 'redshifts/mse_bin_1': 0.36137792468070984, 'redshifts/mse_bin_2': 0.3005654513835907, 'redshifts/mse_bin_3': 0.21996867656707764, 'redshifts/mse_bin_4': 0.23699723184108734, 'redshifts/mse_bin_5': 0.0753873810172081, 'redshifts/nmad': 0.11292166262865067, 'redshifts/nmad_bin_0': 0.21172861754894257, 'redshifts/nmad_bin_1': 0.13375425338745117, 'redshifts/nmad_bin_2': 0.08847663551568985, 'redshifts/nmad_bin_3': 0.07187504321336746, 'redshifts/nmad_bin_4': 0.06419360637664795, 'redshifts/nmad_bin_5': 0.03520752489566803, 'redshifts/outlier_fraction': 0.3275706470012665, 'redshifts/outlier_fraction_bin_0': 0.48841333389282227, 'redshifts/outlier_fraction_bin_1': 0.3554844260215759, 'redshifts/outlier_fraction_bin_2': 0.2605958878993988, 'redshifts/outlier_fraction_bin_3': 0.19985030591487885, 'redshifts/outlier_fraction_bin_4': 0.19251559674739838, 'redshifts/outlier_fraction_bin_5': 0.09417856484651566, 'redshifts/outlier_fraction_cata': 0.08941302448511124, 'redshifts/outlier_fraction_cata_bin_0': 0.13314054906368256, 'redshifts/outlier_fraction_cata_bin_1': 0.0979924350976944, 'redshifts/outlier_fraction_cata_bin_2': 0.08154986798763275, 'redshifts/outlier_fraction_cata_bin_3': 0.057135727256536484, 'redshifts/outlier_fraction_cata_bin_4': 0.060706861317157745, 'redshifts/outlier_fraction_cata_bin_5': 0.017562272027134895}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 72%|███████▏ | 1133/1563 [1:48:49<31:28, 4.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71032.])\n", + "total num of pts: tensor([25952., 17201., 7157., 4009., 2408., 14305.])\n", + "{'redshifts/bias_abs': 0.07629603147506714, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023761305958032608, 'redshifts/bias': 0.004629387520253658, 'redshifts/bias_bin_0': 0.029075583443045616, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.31398797035217285, 'redshifts/mse_bin_0': 0.4393370747566223, 'redshifts/mse_bin_1': 0.36147087812423706, 'redshifts/mse_bin_2': 0.3010495901107788, 'redshifts/mse_bin_3': 0.21991392970085144, 'redshifts/mse_bin_4': 0.23672759532928467, 'redshifts/mse_bin_5': 0.07532525062561035, 'redshifts/nmad': 0.11291489005088806, 'redshifts/nmad_bin_0': 0.2116914838552475, 'redshifts/nmad_bin_1': 0.13379989564418793, 'redshifts/nmad_bin_2': 0.08853783458471298, 'redshifts/nmad_bin_3': 0.07184610515832901, 'redshifts/nmad_bin_4': 0.06419360637664795, 'redshifts/nmad_bin_5': 0.035215701907873154, 'redshifts/outlier_fraction': 0.32757067680358887, 'redshifts/outlier_fraction_bin_0': 0.4884016513824463, 'redshifts/outlier_fraction_bin_1': 0.3556188642978668, 'redshifts/outlier_fraction_bin_2': 0.2607237696647644, 'redshifts/outlier_fraction_bin_3': 0.19980044662952423, 'redshifts/outlier_fraction_bin_4': 0.1922757476568222, 'redshifts/outlier_fraction_bin_5': 0.0940929725766182, 'redshifts/outlier_fraction_cata': 0.0894244834780693, 'redshifts/outlier_fraction_cata_bin_0': 0.13313040137290955, 'redshifts/outlier_fraction_cata_bin_1': 0.09807569533586502, 'redshifts/outlier_fraction_cata_bin_2': 0.0815984383225441, 'redshifts/outlier_fraction_cata_bin_3': 0.05712147802114487, 'redshifts/outlier_fraction_cata_bin_4': 0.06063123047351837, 'redshifts/outlier_fraction_cata_bin_5': 0.017546312883496284}\n", + "total num of pts: tensor([71089.])\n", + "total num of pts: tensor([25973., 17214., 7166., 4014., 2409., 14313.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1134/1563 [1:48:53<30:20, 4.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07631302624940872, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023761305958032608, 'redshifts/bias': 0.004619978368282318, 'redshifts/bias_bin_0': 0.029070332646369934, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.3140585422515869, 'redshifts/mse_bin_0': 0.43935930728912354, 'redshifts/mse_bin_1': 0.3615392744541168, 'redshifts/mse_bin_2': 0.30081531405448914, 'redshifts/mse_bin_3': 0.2209521234035492, 'redshifts/mse_bin_4': 0.23689943552017212, 'redshifts/mse_bin_5': 0.07530281692743301, 'redshifts/nmad': 0.11294801533222198, 'redshifts/nmad_bin_0': 0.21176239848136902, 'redshifts/nmad_bin_1': 0.13376659154891968, 'redshifts/nmad_bin_2': 0.08851604908704758, 'redshifts/nmad_bin_3': 0.07202568650245667, 'redshifts/nmad_bin_4': 0.06439005583524704, 'redshifts/nmad_bin_5': 0.03521855175495148, 'redshifts/outlier_fraction': 0.3276596963405609, 'redshifts/outlier_fraction_bin_0': 0.48850730061531067, 'redshifts/outlier_fraction_bin_1': 0.35552456974983215, 'redshifts/outlier_fraction_bin_2': 0.26081496477127075, 'redshifts/outlier_fraction_bin_3': 0.20054808259010315, 'redshifts/outlier_fraction_bin_4': 0.19261103868484497, 'redshifts/outlier_fraction_bin_5': 0.09411025047302246, 'redshifts/outlier_fraction_cata': 0.08943718671798706, 'redshifts/outlier_fraction_cata_bin_0': 0.1331767588853836, 'redshifts/outlier_fraction_cata_bin_1': 0.09805972129106522, 'redshifts/outlier_fraction_cata_bin_2': 0.08149595558643341, 'redshifts/outlier_fraction_cata_bin_3': 0.057299453765153885, 'redshifts/outlier_fraction_cata_bin_4': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_5': 0.017536506056785583}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1135/1563 [1:48:57<29:22, 4.12s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71146.])\n", + "total num of pts: tensor([25991., 17230., 7171., 4017., 2410., 14327.])\n", + "{'redshifts/bias_abs': 0.07632797956466675, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004630311392247677, 'redshifts/bias_bin_0': 0.029075583443045616, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.31394997239112854, 'redshifts/mse_bin_0': 0.4393681585788727, 'redshifts/mse_bin_1': 0.3613111078739166, 'redshifts/mse_bin_2': 0.30061739683151245, 'redshifts/mse_bin_3': 0.22079689800739288, 'redshifts/mse_bin_4': 0.2368016093969345, 'redshifts/mse_bin_5': 0.07523340731859207, 'redshifts/nmad': 0.11293657124042511, 'redshifts/nmad_bin_0': 0.21182610094547272, 'redshifts/nmad_bin_1': 0.13376863300800323, 'redshifts/nmad_bin_2': 0.08850065618753433, 'redshifts/nmad_bin_3': 0.07202568650245667, 'redshifts/nmad_bin_4': 0.06421184539794922, 'redshifts/nmad_bin_5': 0.03520384430885315, 'redshifts/outlier_fraction': 0.32763612270355225, 'redshifts/outlier_fraction_bin_0': 0.4886306822299957, 'redshifts/outlier_fraction_bin_1': 0.35548463463783264, 'redshifts/outlier_fraction_bin_2': 0.26063311100006104, 'redshifts/outlier_fraction_bin_3': 0.2003983110189438, 'redshifts/outlier_fraction_bin_4': 0.19253112375736237, 'redshifts/outlier_fraction_bin_5': 0.09401828795671463, 'redshifts/outlier_fraction_cata': 0.08939363807439804, 'redshifts/outlier_fraction_cata_bin_0': 0.1331614851951599, 'redshifts/outlier_fraction_cata_bin_1': 0.09796866029500961, 'redshifts/outlier_fraction_cata_bin_2': 0.08143913000822067, 'redshifts/outlier_fraction_cata_bin_3': 0.057256657630205154, 'redshifts/outlier_fraction_cata_bin_4': 0.060580912977457047, 'redshifts/outlier_fraction_cata_bin_5': 0.01751936972141266}\n", + "total num of pts: tensor([71201.])\n", + "total num of pts: tensor([26010., 17240., 7177., 4020., 2412., 14342.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1136/1563 [1:49:02<30:13, 4.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0763169378042221, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004629387520253658, 'redshifts/bias_bin_0': 0.029021700844168663, 'redshifts/bias_bin_1': 0.010984551161527634, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.3140175938606262, 'redshifts/mse_bin_0': 0.439313679933548, 'redshifts/mse_bin_1': 0.36169710755348206, 'redshifts/mse_bin_2': 0.30038562417030334, 'redshifts/mse_bin_3': 0.22177574038505554, 'redshifts/mse_bin_4': 0.23661665618419647, 'redshifts/mse_bin_5': 0.07516293227672577, 'redshifts/nmad': 0.11293759196996689, 'redshifts/nmad_bin_0': 0.21182487905025482, 'redshifts/nmad_bin_1': 0.13379910588264465, 'redshifts/nmad_bin_2': 0.08850065618753433, 'redshifts/nmad_bin_3': 0.0720934048295021, 'redshifts/nmad_bin_4': 0.06428131461143494, 'redshifts/nmad_bin_5': 0.035195816308259964, 'redshifts/outlier_fraction': 0.32762181758880615, 'redshifts/outlier_fraction_bin_0': 0.48861977458000183, 'redshifts/outlier_fraction_bin_1': 0.35556843876838684, 'redshifts/outlier_fraction_bin_2': 0.2604152262210846, 'redshifts/outlier_fraction_bin_3': 0.20074626803398132, 'redshifts/outlier_fraction_bin_4': 0.19237147271633148, 'redshifts/outlier_fraction_bin_5': 0.09398967772722244, 'redshifts/outlier_fraction_cata': 0.08942290395498276, 'redshifts/outlier_fraction_cata_bin_0': 0.13317954540252686, 'redshifts/outlier_fraction_cata_bin_1': 0.09808585047721863, 'redshifts/outlier_fraction_cata_bin_2': 0.08137104660272598, 'redshifts/outlier_fraction_cata_bin_3': 0.05746268481016159, 'redshifts/outlier_fraction_cata_bin_4': 0.060530681163072586, 'redshifts/outlier_fraction_cata_bin_5': 0.017501045018434525}\n", + "total num of pts: tensor([71244.])\n", + "total num of pts: tensor([26027., 17251., 7179., 4021., 2414., 14352.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1137/1563 [1:49:07<32:25, 4.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07632797956466675, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004629387520253658, 'redshifts/bias_bin_0': 0.029070332646369934, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00014220314915291965, 'redshifts/mse': 0.3141413927078247, 'redshifts/mse_bin_0': 0.439238965511322, 'redshifts/mse_bin_1': 0.3619510531425476, 'redshifts/mse_bin_2': 0.3014611303806305, 'redshifts/mse_bin_3': 0.22172072529792786, 'redshifts/mse_bin_4': 0.23644910752773285, 'redshifts/mse_bin_5': 0.07511401921510696, 'redshifts/nmad': 0.1129656583070755, 'redshifts/nmad_bin_0': 0.2118338793516159, 'redshifts/nmad_bin_1': 0.13381969928741455, 'redshifts/nmad_bin_2': 0.08850065618753433, 'redshifts/nmad_bin_3': 0.0720934048295021, 'redshifts/nmad_bin_4': 0.0642726868391037, 'redshifts/nmad_bin_5': 0.035163335502147675, 'redshifts/outlier_fraction': 0.3276346027851105, 'redshifts/outlier_fraction_bin_0': 0.4885311424732208, 'redshifts/outlier_fraction_bin_1': 0.3557474911212921, 'redshifts/outlier_fraction_bin_2': 0.26048195362091064, 'redshifts/outlier_fraction_bin_3': 0.20069634914398193, 'redshifts/outlier_fraction_bin_4': 0.1922120898962021, 'redshifts/outlier_fraction_bin_5': 0.09399386495351791, 'redshifts/outlier_fraction_cata': 0.08945314586162567, 'redshifts/outlier_fraction_cata_bin_0': 0.1331309825181961, 'redshifts/outlier_fraction_cata_bin_1': 0.09825517237186432, 'redshifts/outlier_fraction_cata_bin_2': 0.08148767054080963, 'redshifts/outlier_fraction_cata_bin_3': 0.05744839459657669, 'redshifts/outlier_fraction_cata_bin_4': 0.06048053130507469, 'redshifts/outlier_fraction_cata_bin_5': 0.01748885214328766}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1138/1563 [1:49:11<32:04, 4.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71302.])\n", + "total num of pts: tensor([26050., 17267., 7185., 4024., 2414., 14362.])\n", + "{'redshifts/bias_abs': 0.07634434849023819, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.05961795523762703, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004628235474228859, 'redshifts/bias_bin_0': 0.029004806652665138, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00014220314915291965, 'redshifts/mse': 0.3143460154533386, 'redshifts/mse_bin_0': 0.4395259916782379, 'redshifts/mse_bin_1': 0.3619198203086853, 'redshifts/mse_bin_2': 0.3019390106201172, 'redshifts/mse_bin_3': 0.22159282863140106, 'redshifts/mse_bin_4': 0.23644910752773285, 'redshifts/mse_bin_5': 0.07538099586963654, 'redshifts/nmad': 0.11297888308763504, 'redshifts/nmad_bin_0': 0.2119310200214386, 'redshifts/nmad_bin_1': 0.1338099092245102, 'redshifts/nmad_bin_2': 0.08847153931856155, 'redshifts/nmad_bin_3': 0.07202568650245667, 'redshifts/nmad_bin_4': 0.0642726868391037, 'redshifts/nmad_bin_5': 0.035163335502147675, 'redshifts/outlier_fraction': 0.32771870493888855, 'redshifts/outlier_fraction_bin_0': 0.4887140095233917, 'redshifts/outlier_fraction_bin_1': 0.35576534271240234, 'redshifts/outlier_fraction_bin_2': 0.2604036331176758, 'redshifts/outlier_fraction_bin_3': 0.2007952332496643, 'redshifts/outlier_fraction_bin_4': 0.1922120898962021, 'redshifts/outlier_fraction_bin_5': 0.09399805217981339, 'redshifts/outlier_fraction_cata': 0.08949258178472519, 'redshifts/outlier_fraction_cata_bin_0': 0.1332053691148758, 'redshifts/outlier_fraction_cata_bin_1': 0.0982220396399498, 'redshifts/outlier_fraction_cata_bin_2': 0.08155880123376846, 'redshifts/outlier_fraction_cata_bin_3': 0.057405564934015274, 'redshifts/outlier_fraction_cata_bin_4': 0.06048053130507469, 'redshifts/outlier_fraction_cata_bin_5': 0.01754630357027054}\n", + "total num of pts: tensor([71363.])\n", + "total num of pts: tensor([26073., 17285., 7189., 4026., 2417., 14373.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1139/1563 [1:49:17<34:12, 4.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09084222465753555, 'redshifts/bias_abs_bin_2': 0.05961795523762703, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004619978368282318, 'redshifts/bias_bin_0': 0.028984561562538147, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.31429681181907654, 'redshifts/mse_bin_0': 0.43934640288352966, 'redshifts/mse_bin_1': 0.3620782196521759, 'redshifts/mse_bin_2': 0.3017818331718445, 'redshifts/mse_bin_3': 0.22148622572422028, 'redshifts/mse_bin_4': 0.2365095168352127, 'redshifts/mse_bin_5': 0.07532601803541183, 'redshifts/nmad': 0.1130116730928421, 'redshifts/nmad_bin_0': 0.21195606887340546, 'redshifts/nmad_bin_1': 0.13384191691875458, 'redshifts/nmad_bin_2': 0.08847153931856155, 'redshifts/nmad_bin_3': 0.07200516015291214, 'redshifts/nmad_bin_4': 0.06437307596206665, 'redshifts/nmad_bin_5': 0.03517036885023117, 'redshifts/outlier_fraction': 0.3277188539505005, 'redshifts/outlier_fraction_bin_0': 0.4887431561946869, 'redshifts/outlier_fraction_bin_1': 0.3557998239994049, 'redshifts/outlier_fraction_bin_2': 0.2602587342262268, 'redshifts/outlier_fraction_bin_3': 0.2006954848766327, 'redshifts/outlier_fraction_bin_4': 0.19238725304603577, 'redshifts/outlier_fraction_bin_5': 0.09392610937356949, 'redshifts/outlier_fraction_cata': 0.08945812284946442, 'redshifts/outlier_fraction_cata_bin_0': 0.13312622904777527, 'redshifts/outlier_fraction_cata_bin_1': 0.09823546558618546, 'redshifts/outlier_fraction_cata_bin_2': 0.0815134197473526, 'redshifts/outlier_fraction_cata_bin_3': 0.05737704783678055, 'redshifts/outlier_fraction_cata_bin_4': 0.060405462980270386, 'redshifts/outlier_fraction_cata_bin_5': 0.017532873898744583}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1140/1563 [1:49:23<36:36, 5.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71422.])\n", + "total num of pts: tensor([26095., 17298., 7194., 4030., 2420., 14385.])\n", + "{'redshifts/bias_abs': 0.07630445063114166, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.05961795523762703, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.02373977191746235, 'redshifts/bias': 0.004625231027603149, 'redshifts/bias_bin_0': 0.029004806652665138, 'redshifts/bias_bin_1': 0.010984551161527634, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.31419041752815247, 'redshifts/mse_bin_0': 0.4391070306301117, 'redshifts/mse_bin_1': 0.361841082572937, 'redshifts/mse_bin_2': 0.301636278629303, 'redshifts/mse_bin_3': 0.22130778431892395, 'redshifts/mse_bin_4': 0.23639939725399017, 'redshifts/mse_bin_5': 0.07566941529512405, 'redshifts/nmad': 0.11294286698102951, 'redshifts/nmad_bin_0': 0.21179983019828796, 'redshifts/nmad_bin_1': 0.13379910588264465, 'redshifts/nmad_bin_2': 0.08846818655729294, 'redshifts/nmad_bin_3': 0.07192479819059372, 'redshifts/nmad_bin_4': 0.06432436406612396, 'redshifts/nmad_bin_5': 0.035178422927856445, 'redshifts/outlier_fraction': 0.3276161551475525, 'redshifts/outlier_fraction_bin_0': 0.4885227084159851, 'redshifts/outlier_fraction_bin_1': 0.3556480407714844, 'redshifts/outlier_fraction_bin_2': 0.2602168619632721, 'redshifts/outlier_fraction_bin_3': 0.2007444202899933, 'redshifts/outlier_fraction_bin_4': 0.19256198406219482, 'redshifts/outlier_fraction_bin_5': 0.09398679435253143, 'redshifts/outlier_fraction_cata': 0.08941222727298737, 'redshifts/outlier_fraction_cata_bin_0': 0.1330523043870926, 'redshifts/outlier_fraction_cata_bin_1': 0.09816163778305054, 'redshifts/outlier_fraction_cata_bin_2': 0.08145677298307419, 'redshifts/outlier_fraction_cata_bin_3': 0.05732009932398796, 'redshifts/outlier_fraction_cata_bin_4': 0.060330577194690704, 'redshifts/outlier_fraction_cata_bin_5': 0.01758776418864727}\n", + "total num of pts: tensor([71468.])\n", + "total num of pts: tensor([26109., 17315., 7200., 4033., 2423., 14388.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1141/1563 [1:49:27<33:12, 4.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07629765570163727, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05961795523762703, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.02373977191746235, 'redshifts/bias': 0.004610838368535042, 'redshifts/bias_bin_0': 0.028989611193537712, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.0060759955085814, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.3141399323940277, 'redshifts/mse_bin_0': 0.4389975965023041, 'redshifts/mse_bin_1': 0.3617813289165497, 'redshifts/mse_bin_2': 0.3014581501483917, 'redshifts/mse_bin_3': 0.22160513699054718, 'redshifts/mse_bin_4': 0.23612269759178162, 'redshifts/mse_bin_5': 0.07565440237522125, 'redshifts/nmad': 0.11295782774686813, 'redshifts/nmad_bin_0': 0.21179892122745514, 'redshifts/nmad_bin_1': 0.13374117016792297, 'redshifts/nmad_bin_2': 0.08846818655729294, 'redshifts/nmad_bin_3': 0.07189285010099411, 'redshifts/nmad_bin_4': 0.06432436406612396, 'redshifts/nmad_bin_5': 0.035178422927856445, 'redshifts/outlier_fraction': 0.32758715748786926, 'redshifts/outlier_fraction_bin_0': 0.4884905517101288, 'redshifts/outlier_fraction_bin_1': 0.35552987456321716, 'redshifts/outlier_fraction_bin_2': 0.2601388990879059, 'redshifts/outlier_fraction_bin_3': 0.20084305107593536, 'redshifts/outlier_fraction_bin_4': 0.19273628294467926, 'redshifts/outlier_fraction_bin_5': 0.09396719187498093, 'redshifts/outlier_fraction_cata': 0.08938266336917877, 'redshifts/outlier_fraction_cata_bin_0': 0.13298095762729645, 'redshifts/outlier_fraction_cata_bin_1': 0.09812301397323608, 'redshifts/outlier_fraction_cata_bin_2': 0.08138889074325562, 'redshifts/outlier_fraction_cata_bin_3': 0.05752541497349739, 'redshifts/outlier_fraction_cata_bin_4': 0.060255881398916245, 'redshifts/outlier_fraction_cata_bin_5': 0.017584098502993584}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1142/1563 [1:49:30<31:24, 4.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71528.])\n", + "total num of pts: tensor([26133., 17327., 7204., 4035., 2424., 14405.])\n", + "{'redshifts/bias_abs': 0.07629750669002533, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004610838368535042, 'redshifts/bias_bin_0': 0.029021700844168663, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00014220314915291965, 'redshifts/mse': 0.31405773758888245, 'redshifts/mse_bin_0': 0.43886470794677734, 'redshifts/mse_bin_1': 0.36183738708496094, 'redshifts/mse_bin_2': 0.30132928490638733, 'redshifts/mse_bin_3': 0.2215268462896347, 'redshifts/mse_bin_4': 0.23603294789791107, 'redshifts/mse_bin_5': 0.07557687908411026, 'redshifts/nmad': 0.112953782081604, 'redshifts/nmad_bin_0': 0.21180501580238342, 'redshifts/nmad_bin_1': 0.13373510539531708, 'redshifts/nmad_bin_2': 0.08848419040441513, 'redshifts/nmad_bin_3': 0.07205798476934433, 'redshifts/nmad_bin_4': 0.06432436406612396, 'redshifts/nmad_bin_5': 0.03519367426633835, 'redshifts/outlier_fraction': 0.3275081217288971, 'redshifts/outlier_fraction_bin_0': 0.4883480668067932, 'redshifts/outlier_fraction_bin_1': 0.35545679926872253, 'redshifts/outlier_fraction_bin_2': 0.2601332664489746, 'redshifts/outlier_fraction_bin_3': 0.20099133253097534, 'redshifts/outlier_fraction_bin_4': 0.1926567703485489, 'redshifts/outlier_fraction_bin_5': 0.09392572194337845, 'redshifts/outlier_fraction_cata': 0.08934962749481201, 'redshifts/outlier_fraction_cata_bin_0': 0.13289710879325867, 'redshifts/outlier_fraction_cata_bin_1': 0.09817048907279968, 'redshifts/outlier_fraction_cata_bin_2': 0.08134369552135468, 'redshifts/outlier_fraction_cata_bin_3': 0.05749690160155296, 'redshifts/outlier_fraction_cata_bin_4': 0.06023102253675461, 'redshifts/outlier_fraction_cata_bin_5': 0.017563346773386}\n", + "total num of pts: tensor([71597.])\n", + "total num of pts: tensor([26156., 17342., 7210., 4036., 2429., 14424.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1143/1563 [1:49:36<33:48, 4.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0763019397854805, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05961795523762703, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004610838368535042, 'redshifts/bias_bin_0': 0.029070332646369934, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.0060998862609267235, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00013360381126403809, 'redshifts/mse': 0.3139933943748474, 'redshifts/mse_bin_0': 0.4387151300907135, 'redshifts/mse_bin_1': 0.3618811070919037, 'redshifts/mse_bin_2': 0.30120185017585754, 'redshifts/mse_bin_3': 0.22174009680747986, 'redshifts/mse_bin_4': 0.2364196926355362, 'redshifts/mse_bin_5': 0.0755193829536438, 'redshifts/nmad': 0.11295130848884583, 'redshifts/nmad_bin_0': 0.21175327897071838, 'redshifts/nmad_bin_1': 0.13374117016792297, 'redshifts/nmad_bin_2': 0.08846818655729294, 'redshifts/nmad_bin_3': 0.07205798476934433, 'redshifts/nmad_bin_4': 0.06443542242050171, 'redshifts/nmad_bin_5': 0.035175155848264694, 'redshifts/outlier_fraction': 0.3275277018547058, 'redshifts/outlier_fraction_bin_0': 0.4883391857147217, 'redshifts/outlier_fraction_bin_1': 0.3554953336715698, 'redshifts/outlier_fraction_bin_2': 0.2600554823875427, 'redshifts/outlier_fraction_bin_3': 0.2011892944574356, 'redshifts/outlier_fraction_bin_4': 0.19308356940746307, 'redshifts/outlier_fraction_bin_5': 0.09400998055934906, 'redshifts/outlier_fraction_cata': 0.0893612876534462, 'redshifts/outlier_fraction_cata_bin_0': 0.13281847536563873, 'redshifts/outlier_fraction_cata_bin_1': 0.09831622987985611, 'redshifts/outlier_fraction_cata_bin_2': 0.08127600699663162, 'redshifts/outlier_fraction_cata_bin_3': 0.05773042514920235, 'redshifts/outlier_fraction_cata_bin_4': 0.06051873043179512, 'redshifts/outlier_fraction_cata_bin_5': 0.017540210857987404}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1144/1563 [1:49:41<33:19, 4.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71650.])\n", + "total num of pts: tensor([26179., 17353., 7214., 4039., 2433., 14432.])\n", + "{'redshifts/bias_abs': 0.07629765570163727, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.02373977191746235, 'redshifts/bias': 0.004613758996129036, 'redshifts/bias_bin_0': 0.029070332646369934, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 0.00013080239295959473, 'redshifts/mse': 0.3140122592449188, 'redshifts/mse_bin_0': 0.4388462007045746, 'redshifts/mse_bin_1': 0.36185401678085327, 'redshifts/mse_bin_2': 0.3010466694831848, 'redshifts/mse_bin_3': 0.22157873213291168, 'redshifts/mse_bin_4': 0.23604778945446014, 'redshifts/mse_bin_5': 0.07553452998399734, 'redshifts/nmad': 0.1129380613565445, 'redshifts/nmad_bin_0': 0.21176239848136902, 'redshifts/nmad_bin_1': 0.133768230676651, 'redshifts/nmad_bin_2': 0.08838103711605072, 'redshifts/nmad_bin_3': 0.07200516015291214, 'redshifts/nmad_bin_4': 0.06444116681814194, 'redshifts/nmad_bin_5': 0.03516412153840065, 'redshifts/outlier_fraction': 0.32750871777534485, 'redshifts/outlier_fraction_bin_0': 0.48836854100227356, 'redshifts/outlier_fraction_bin_1': 0.3554428517818451, 'redshifts/outlier_fraction_bin_2': 0.25991126894950867, 'redshifts/outlier_fraction_bin_3': 0.2010398656129837, 'redshifts/outlier_fraction_bin_4': 0.19276612997055054, 'redshifts/outlier_fraction_bin_5': 0.09402716159820557, 'redshifts/outlier_fraction_cata': 0.08939288556575775, 'redshifts/outlier_fraction_cata_bin_0': 0.13289277255535126, 'redshifts/outlier_fraction_cata_bin_1': 0.09836915880441666, 'redshifts/outlier_fraction_cata_bin_2': 0.08123093843460083, 'redshifts/outlier_fraction_cata_bin_3': 0.05768754705786705, 'redshifts/outlier_fraction_cata_bin_4': 0.0604192353785038, 'redshifts/outlier_fraction_cata_bin_5': 0.01753048785030842}\n", + "total num of pts: tensor([71706.])\n", + "total num of pts: tensor([26197., 17361., 7223., 4042., 2434., 14449.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1145/1563 [1:49:45<32:18, 4.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07627260684967041, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.02373977191746235, 'redshifts/bias': 0.004616268910467625, 'redshifts/bias_bin_0': 0.02909020334482193, 'redshifts/bias_bin_1': 0.010984551161527634, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00013360381126403809, 'redshifts/mse': 0.3139290511608124, 'redshifts/mse_bin_0': 0.4388953447341919, 'redshifts/mse_bin_1': 0.3617027997970581, 'redshifts/mse_bin_2': 0.30088531970977783, 'redshifts/mse_bin_3': 0.2214459776878357, 'redshifts/mse_bin_4': 0.23601745069026947, 'redshifts/mse_bin_5': 0.07546849548816681, 'redshifts/nmad': 0.11289700865745544, 'redshifts/nmad_bin_0': 0.21180440485477448, 'redshifts/nmad_bin_1': 0.13372871279716492, 'redshifts/nmad_bin_2': 0.088352732360363, 'redshifts/nmad_bin_3': 0.07184610515832901, 'redshifts/nmad_bin_4': 0.06443542242050171, 'redshifts/nmad_bin_5': 0.035168275237083435, 'redshifts/outlier_fraction': 0.32744818925857544, 'redshifts/outlier_fraction_bin_0': 0.4884147047996521, 'redshifts/outlier_fraction_bin_1': 0.35533666610717773, 'redshifts/outlier_fraction_bin_2': 0.2597258687019348, 'redshifts/outlier_fraction_bin_3': 0.2008906453847885, 'redshifts/outlier_fraction_bin_4': 0.193097785115242, 'redshifts/outlier_fraction_bin_5': 0.09398574382066727, 'redshifts/outlier_fraction_cata': 0.0893649086356163, 'redshifts/outlier_fraction_cata_bin_0': 0.13287781178951263, 'redshifts/outlier_fraction_cata_bin_1': 0.09832382947206497, 'redshifts/outlier_fraction_cata_bin_2': 0.08126816898584366, 'redshifts/outlier_fraction_cata_bin_3': 0.05764472857117653, 'redshifts/outlier_fraction_cata_bin_4': 0.06039441376924515, 'redshifts/outlier_fraction_cata_bin_5': 0.017509862780570984}\n", + "total num of pts: tensor([71780.])\n", + "total num of pts: tensor([26222., 17383., 7228., 4045., 2437., 14465.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1146/1563 [1:49:49<31:53, 4.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624876499176025, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004613758996129036, 'redshifts/bias_bin_0': 0.029130849987268448, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 0.00013080239295959473, 'redshifts/mse': 0.31376010179519653, 'redshifts/mse_bin_0': 0.43879666924476624, 'redshifts/mse_bin_1': 0.3613598644733429, 'redshifts/mse_bin_2': 0.30074962973594666, 'redshifts/mse_bin_3': 0.2212895303964615, 'redshifts/mse_bin_4': 0.23572808504104614, 'redshifts/mse_bin_5': 0.07539679110050201, 'redshifts/nmad': 0.11288385838270187, 'redshifts/nmad_bin_0': 0.21177153289318085, 'redshifts/nmad_bin_1': 0.1336728185415268, 'redshifts/nmad_bin_2': 0.0883832648396492, 'redshifts/nmad_bin_3': 0.07184610515832901, 'redshifts/nmad_bin_4': 0.06436242163181305, 'redshifts/nmad_bin_5': 0.03517930954694748, 'redshifts/outlier_fraction': 0.3273753225803375, 'redshifts/outlier_fraction_bin_0': 0.48836854100227356, 'redshifts/outlier_fraction_bin_1': 0.3552321195602417, 'redshifts/outlier_fraction_bin_2': 0.25968456268310547, 'redshifts/outlier_fraction_bin_3': 0.20074166357517242, 'redshifts/outlier_fraction_bin_4': 0.19286006689071655, 'redshifts/outlier_fraction_bin_5': 0.09395091235637665, 'redshifts/outlier_fraction_cata': 0.08931457251310349, 'redshifts/outlier_fraction_cata_bin_0': 0.1328655332326889, 'redshifts/outlier_fraction_cata_bin_1': 0.09819938987493515, 'redshifts/outlier_fraction_cata_bin_2': 0.08121195435523987, 'redshifts/outlier_fraction_cata_bin_3': 0.05760197713971138, 'redshifts/outlier_fraction_cata_bin_4': 0.060320064425468445, 'redshifts/outlier_fraction_cata_bin_5': 0.01749049499630928}\n", + "total num of pts: tensor([71841.])\n", + "total num of pts: tensor([26248., 17398., 7233., 4047., 2439., 14476.])\n", + "{'redshifts/bias_abs': 0.07629088312387466, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.02373977191746235, 'redshifts/bias': 0.004617899656295776, 'redshifts/bias_bin_0': 0.029136130586266518, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.0024975943379104137, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 0.00012919306755065918, 'redshifts/mse': 0.31375423073768616, 'redshifts/mse_bin_0': 0.43877312541007996, 'redshifts/mse_bin_1': 0.3611767888069153, 'redshifts/mse_bin_2': 0.3006058633327484, 'redshifts/mse_bin_3': 0.22118519246578217, 'redshifts/mse_bin_4': 0.2375134974718094, 'redshifts/mse_bin_5': 0.07536573708057404, 'redshifts/nmad': 0.11291111260652542, 'redshifts/nmad_bin_0': 0.21178127825260162, 'redshifts/nmad_bin_1': 0.13370467722415924, 'redshifts/nmad_bin_2': 0.08831144869327545, 'redshifts/nmad_bin_3': 0.07181144505739212, 'redshifts/nmad_bin_4': 0.06444116681814194, 'redshifts/nmad_bin_5': 0.035161733627319336, 'redshifts/outlier_fraction': 0.3274174928665161, 'redshifts/outlier_fraction_bin_0': 0.4884181618690491, 'redshifts/outlier_fraction_bin_1': 0.35527071356773376, 'redshifts/outlier_fraction_bin_2': 0.2596433162689209, 'redshifts/outlier_fraction_bin_3': 0.2006424516439438, 'redshifts/outlier_fraction_bin_4': 0.19311192631721497, 'redshifts/outlier_fraction_bin_5': 0.0939486026763916, 'redshifts/outlier_fraction_cata': 0.08929441124200821, 'redshifts/outlier_fraction_cata_bin_0': 0.13284821808338165, 'redshifts/outlier_fraction_cata_bin_1': 0.0981147289276123, 'redshifts/outlier_fraction_cata_bin_2': 0.08115581423044205, 'redshifts/outlier_fraction_cata_bin_3': 0.05757351219654083, 'redshifts/outlier_fraction_cata_bin_4': 0.060680605471134186, 'redshifts/outlier_fraction_cata_bin_5': 0.01747720316052437}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1147/1563 [1:49:54<31:00, 4.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([71915.])\n", + "total num of pts: tensor([26278., 17415., 7240., 4052., 2442., 14488.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 73%|███████▎ | 1148/1563 [1:49:58<30:47, 4.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07630445063114166, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004616268910467625, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 0.00013080239295959473, 'redshifts/mse': 0.31368303298950195, 'redshifts/mse_bin_0': 0.4386398494243622, 'redshifts/mse_bin_1': 0.3612799048423767, 'redshifts/mse_bin_2': 0.3003506064414978, 'redshifts/mse_bin_3': 0.22095543146133423, 'redshifts/mse_bin_4': 0.23722225427627563, 'redshifts/mse_bin_5': 0.07530829310417175, 'redshifts/nmad': 0.11294572800397873, 'redshifts/nmad_bin_0': 0.21182963252067566, 'redshifts/nmad_bin_1': 0.13371483981609344, 'redshifts/nmad_bin_2': 0.08821223676204681, 'redshifts/nmad_bin_3': 0.07184610515832901, 'redshifts/nmad_bin_4': 0.06431861966848373, 'redshifts/nmad_bin_5': 0.0351591594517231, 'redshifts/outlier_fraction': 0.3274838328361511, 'redshifts/outlier_fraction_bin_0': 0.4885075092315674, 'redshifts/outlier_fraction_bin_1': 0.3553832769393921, 'redshifts/outlier_fraction_bin_2': 0.2596684992313385, 'redshifts/outlier_fraction_bin_3': 0.2006416618824005, 'redshifts/outlier_fraction_bin_4': 0.1928746998310089, 'redshifts/outlier_fraction_bin_5': 0.09393981099128723, 'redshifts/outlier_fraction_cata': 0.08927205950021744, 'redshifts/outlier_fraction_cata_bin_0': 0.13281071186065674, 'redshifts/outlier_fraction_cata_bin_1': 0.09813379496335983, 'redshifts/outlier_fraction_cata_bin_2': 0.08107734471559525, 'redshifts/outlier_fraction_cata_bin_3': 0.057502467185258865, 'redshifts/outlier_fraction_cata_bin_4': 0.06060606241226196, 'redshifts/outlier_fraction_cata_bin_5': 0.017462728545069695}\n", + "total num of pts: tensor([71980.])\n", + "total num of pts: tensor([26299., 17432., 7244., 4056., 2444., 14505.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▎ | 1149/1563 [1:50:05<36:18, 5.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07629603147506714, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004616268910467625, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.3135373890399933, 'redshifts/mse_bin_0': 0.4384663999080658, 'redshifts/mse_bin_1': 0.3610568344593048, 'redshifts/mse_bin_2': 0.30021312832832336, 'redshifts/mse_bin_3': 0.22134554386138916, 'redshifts/mse_bin_4': 0.23703749477863312, 'redshifts/mse_bin_5': 0.07524135708808899, 'redshifts/nmad': 0.11291620135307312, 'redshifts/nmad_bin_0': 0.21180211007595062, 'redshifts/nmad_bin_1': 0.1336849331855774, 'redshifts/nmad_bin_2': 0.08826947212219238, 'redshifts/nmad_bin_3': 0.07181144505739212, 'redshifts/nmad_bin_4': 0.06459398567676544, 'redshifts/nmad_bin_5': 0.03515774384140968, 'redshifts/outlier_fraction': 0.3274242877960205, 'redshifts/outlier_fraction_bin_0': 0.48845964670181274, 'redshifts/outlier_fraction_bin_1': 0.35532355308532715, 'redshifts/outlier_fraction_bin_2': 0.2596631646156311, 'redshifts/outlier_fraction_bin_3': 0.20069032907485962, 'redshifts/outlier_fraction_bin_4': 0.19271685183048248, 'redshifts/outlier_fraction_bin_5': 0.09389865398406982, 'redshifts/outlier_fraction_cata': 0.08923312276601791, 'redshifts/outlier_fraction_cata_bin_0': 0.13274268805980682, 'redshifts/outlier_fraction_cata_bin_1': 0.09809545427560806, 'redshifts/outlier_fraction_cata_bin_2': 0.08103258162736893, 'redshifts/outlier_fraction_cata_bin_3': 0.057692307978868484, 'redshifts/outlier_fraction_cata_bin_4': 0.06055646389722824, 'redshifts/outlier_fraction_cata_bin_5': 0.017442261800169945}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▎ | 1150/1563 [1:50:10<35:43, 5.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72022.])\n", + "total num of pts: tensor([26318., 17442., 7248., 4059., 2444., 14511.])\n", + "{'redshifts/bias_abs': 0.07629765570163727, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004617899656295776, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.010984551161527634, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.00013360381126403809, 'redshifts/mse': 0.31356656551361084, 'redshifts/mse_bin_0': 0.43853700160980225, 'redshifts/mse_bin_1': 0.3609023690223694, 'redshifts/mse_bin_2': 0.300065279006958, 'redshifts/mse_bin_3': 0.22216929495334625, 'redshifts/mse_bin_4': 0.23703749477863312, 'redshifts/mse_bin_5': 0.07521231472492218, 'redshifts/nmad': 0.11294006556272507, 'redshifts/nmad_bin_0': 0.21180211007595062, 'redshifts/nmad_bin_1': 0.13365133106708527, 'redshifts/nmad_bin_2': 0.08828193694353104, 'redshifts/nmad_bin_3': 0.07197621464729309, 'redshifts/nmad_bin_4': 0.06459398567676544, 'redshifts/nmad_bin_5': 0.035163309425115585, 'redshifts/outlier_fraction': 0.3274554908275604, 'redshifts/outlier_fraction_bin_0': 0.4885249733924866, 'redshifts/outlier_fraction_bin_1': 0.3552345037460327, 'redshifts/outlier_fraction_bin_2': 0.2596578299999237, 'redshifts/outlier_fraction_bin_3': 0.20103473961353302, 'redshifts/outlier_fraction_bin_4': 0.19271685183048248, 'redshifts/outlier_fraction_bin_5': 0.09385982900857925, 'redshifts/outlier_fraction_cata': 0.0892643928527832, 'redshifts/outlier_fraction_cata_bin_0': 0.13283684849739075, 'redshifts/outlier_fraction_cata_bin_1': 0.09803921729326248, 'redshifts/outlier_fraction_cata_bin_2': 0.0809878557920456, 'redshifts/outlier_fraction_cata_bin_3': 0.05789603292942047, 'redshifts/outlier_fraction_cata_bin_4': 0.06055646389722824, 'redshifts/outlier_fraction_cata_bin_5': 0.017435049638152122}\n", + "total num of pts: tensor([72090.])\n", + "total num of pts: tensor([26337., 17460., 7259., 4065., 2447., 14522.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▎ | 1151/1563 [1:50:15<34:28, 5.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0763019397854805, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004619978368282318, 'redshifts/bias_bin_0': 0.029130849987268448, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.3133661448955536, 'redshifts/mse_bin_0': 0.4383608400821686, 'redshifts/mse_bin_1': 0.3606617748737335, 'redshifts/mse_bin_2': 0.2996824383735657, 'redshifts/mse_bin_3': 0.2219173014163971, 'redshifts/mse_bin_4': 0.23675258457660675, 'redshifts/mse_bin_5': 0.0751582682132721, 'redshifts/nmad': 0.1129288375377655, 'redshifts/nmad_bin_0': 0.21184299886226654, 'redshifts/nmad_bin_1': 0.13367486000061035, 'redshifts/nmad_bin_2': 0.08828026801347733, 'redshifts/nmad_bin_3': 0.07197621464729309, 'redshifts/nmad_bin_4': 0.06473659723997116, 'redshifts/nmad_bin_5': 0.035164546221494675, 'redshifts/outlier_fraction': 0.32739630341529846, 'redshifts/outlier_fraction_bin_0': 0.488514244556427, 'redshifts/outlier_fraction_bin_1': 0.35521191358566284, 'redshifts/outlier_fraction_bin_2': 0.2595398724079132, 'redshifts/outlier_fraction_bin_3': 0.20098401606082916, 'redshifts/outlier_fraction_bin_4': 0.19248059391975403, 'redshifts/outlier_fraction_bin_5': 0.09378873556852341, 'redshifts/outlier_fraction_cata': 0.08918019384145737, 'redshifts/outlier_fraction_cata_bin_0': 0.13274100422859192, 'redshifts/outlier_fraction_cata_bin_1': 0.09793814271688461, 'redshifts/outlier_fraction_cata_bin_2': 0.08086512982845306, 'redshifts/outlier_fraction_cata_bin_3': 0.05781057849526405, 'redshifts/outlier_fraction_cata_bin_4': 0.060482222586870193, 'redshifts/outlier_fraction_cata_bin_5': 0.017421843484044075}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▎ | 1152/1563 [1:50:19<32:43, 4.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72154.])\n", + "total num of pts: tensor([26367., 17474., 7259., 4069., 2450., 14535.])\n", + "{'redshifts/bias_abs': 0.07632797956466675, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004639420658349991, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010977968573570251, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.3132801651954651, 'redshifts/mse_bin_0': 0.4382592737674713, 'redshifts/mse_bin_1': 0.36053693294525146, 'redshifts/mse_bin_2': 0.2996824383735657, 'redshifts/mse_bin_3': 0.2218012809753418, 'redshifts/mse_bin_4': 0.23646755516529083, 'redshifts/mse_bin_5': 0.07509666681289673, 'redshifts/nmad': 0.11294302344322205, 'redshifts/nmad_bin_0': 0.21189144253730774, 'redshifts/nmad_bin_1': 0.13365860283374786, 'redshifts/nmad_bin_2': 0.08828026801347733, 'redshifts/nmad_bin_3': 0.07194797694683075, 'redshifts/nmad_bin_4': 0.06453537940979004, 'redshifts/nmad_bin_5': 0.035180870443582535, 'redshifts/outlier_fraction': 0.3274385333061218, 'redshifts/outlier_fraction_bin_0': 0.4886031746864319, 'redshifts/outlier_fraction_bin_1': 0.355213463306427, 'redshifts/outlier_fraction_bin_2': 0.2595398724079132, 'redshifts/outlier_fraction_bin_3': 0.20103219151496887, 'redshifts/outlier_fraction_bin_4': 0.19224490225315094, 'redshifts/outlier_fraction_bin_5': 0.09377364814281464, 'redshifts/outlier_fraction_cata': 0.08912880718708038, 'redshifts/outlier_fraction_cata_bin_0': 0.13262790441513062, 'redshifts/outlier_fraction_cata_bin_1': 0.09791690856218338, 'redshifts/outlier_fraction_cata_bin_2': 0.08086512982845306, 'redshifts/outlier_fraction_cata_bin_3': 0.05775374919176102, 'redshifts/outlier_fraction_cata_bin_4': 0.06040816381573677, 'redshifts/outlier_fraction_cata_bin_5': 0.01740626059472561}\n", + "total num of pts: tensor([72209.])\n", + "total num of pts: tensor([26384., 17489., 7261., 4074., 2453., 14548.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1153/1563 [1:50:24<32:20, 4.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07634434849023819, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09065252542495728, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023757752031087875, 'redshifts/bias': 0.004653424024581909, 'redshifts/bias_bin_0': 0.029207874089479446, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006019961088895798, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.31332138180732727, 'redshifts/mse_bin_0': 0.4383912980556488, 'redshifts/mse_bin_1': 0.36030101776123047, 'redshifts/mse_bin_2': 0.2996009290218353, 'redshifts/mse_bin_3': 0.22296418249607086, 'redshifts/mse_bin_4': 0.2367708683013916, 'redshifts/mse_bin_5': 0.07507637143135071, 'redshifts/nmad': 0.11294780671596527, 'redshifts/nmad_bin_0': 0.21194058656692505, 'redshifts/nmad_bin_1': 0.1336233764886856, 'redshifts/nmad_bin_2': 0.08826947212219238, 'redshifts/nmad_bin_3': 0.07194797694683075, 'redshifts/nmad_bin_4': 0.06476812064647675, 'redshifts/nmad_bin_5': 0.03519314527511597, 'redshifts/outlier_fraction': 0.327424556016922, 'redshifts/outlier_fraction_bin_0': 0.488667368888855, 'redshifts/outlier_fraction_bin_1': 0.3550231456756592, 'redshifts/outlier_fraction_bin_2': 0.2594684064388275, 'redshifts/outlier_fraction_bin_3': 0.2010309249162674, 'redshifts/outlier_fraction_bin_4': 0.1924174427986145, 'redshifts/outlier_fraction_bin_5': 0.09389606863260269, 'redshifts/outlier_fraction_cata': 0.08913016319274902, 'redshifts/outlier_fraction_cata_bin_0': 0.13265615701675415, 'redshifts/outlier_fraction_cata_bin_1': 0.09783292561769485, 'redshifts/outlier_fraction_cata_bin_2': 0.08084286004304886, 'redshifts/outlier_fraction_cata_bin_3': 0.05792832747101784, 'redshifts/outlier_fraction_cata_bin_4': 0.06074194982647896, 'redshifts/outlier_fraction_cata_bin_5': 0.01739070750772953}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1154/1563 [1:50:28<32:02, 4.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72272.])\n", + "total num of pts: tensor([26405., 17505., 7266., 4076., 2456., 14564.])\n", + "{'redshifts/bias_abs': 0.07635084539651871, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09065252542495728, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.0046613505110144615, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 0.00014220314915291965, 'redshifts/mse': 0.313241183757782, 'redshifts/mse_bin_0': 0.438403844833374, 'redshifts/mse_bin_1': 0.36018311977386475, 'redshifts/mse_bin_2': 0.299467533826828, 'redshifts/mse_bin_3': 0.22286178171634674, 'redshifts/mse_bin_4': 0.2365005761384964, 'redshifts/mse_bin_5': 0.07500066608190536, 'redshifts/nmad': 0.11295118927955627, 'redshifts/nmad_bin_0': 0.2120247781276703, 'redshifts/nmad_bin_1': 0.1336524933576584, 'redshifts/nmad_bin_2': 0.08828026801347733, 'redshifts/nmad_bin_3': 0.07194797694683075, 'redshifts/nmad_bin_4': 0.06480538100004196, 'redshifts/nmad_bin_5': 0.03520822897553444, 'redshifts/outlier_fraction': 0.3274020254611969, 'redshifts/outlier_fraction_bin_0': 0.48877108097076416, 'redshifts/outlier_fraction_bin_1': 0.3549271523952484, 'redshifts/outlier_fraction_bin_2': 0.2595650851726532, 'redshifts/outlier_fraction_bin_3': 0.20093227922916412, 'redshifts/outlier_fraction_bin_4': 0.19218240678310394, 'redshifts/outlier_fraction_bin_5': 0.09379291534423828, 'redshifts/outlier_fraction_cata': 0.08910781145095825, 'redshifts/outlier_fraction_cata_bin_0': 0.1326642632484436, 'redshifts/outlier_fraction_cata_bin_1': 0.09780062735080719, 'redshifts/outlier_fraction_cata_bin_2': 0.08078722655773163, 'redshifts/outlier_fraction_cata_bin_3': 0.05789990350604057, 'redshifts/outlier_fraction_cata_bin_4': 0.06066775321960449, 'redshifts/outlier_fraction_cata_bin_5': 0.01737160049378872}\n", + "total num of pts: tensor([72326.])\n", + "total num of pts: tensor([26424., 17513., 7269., 4078., 2458., 14584.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1155/1563 [1:50:33<31:15, 4.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07638241350650787, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09065880626440048, 'redshifts/bias_abs_bin_2': 0.05961896851658821, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023761305958032608, 'redshifts/bias': 0.004662623163312674, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.011096509173512459, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.31339505314826965, 'redshifts/mse_bin_0': 0.43857696652412415, 'redshifts/mse_bin_1': 0.36005741357803345, 'redshifts/mse_bin_2': 0.30012965202331543, 'redshifts/mse_bin_3': 0.22279691696166992, 'redshifts/mse_bin_4': 0.23630838096141815, 'redshifts/mse_bin_5': 0.0754852369427681, 'redshifts/nmad': 0.11295860260725021, 'redshifts/nmad_bin_0': 0.2121267467737198, 'redshifts/nmad_bin_1': 0.1336698681116104, 'redshifts/nmad_bin_2': 0.0883231833577156, 'redshifts/nmad_bin_3': 0.07197745144367218, 'redshifts/nmad_bin_4': 0.06459398567676544, 'redshifts/nmad_bin_5': 0.03521974757313728, 'redshifts/outlier_fraction': 0.32746177911758423, 'redshifts/outlier_fraction_bin_0': 0.4889872968196869, 'redshifts/outlier_fraction_bin_1': 0.354879230260849, 'redshifts/outlier_fraction_bin_2': 0.259733110666275, 'redshifts/outlier_fraction_bin_3': 0.20107896625995636, 'redshifts/outlier_fraction_bin_4': 0.1920260339975357, 'redshifts/outlier_fraction_bin_5': 0.09380142390727997, 'redshifts/outlier_fraction_cata': 0.08913806825876236, 'redshifts/outlier_fraction_cata_bin_0': 0.13275809586048126, 'redshifts/outlier_fraction_cata_bin_1': 0.09775595366954803, 'redshifts/outlier_fraction_cata_bin_2': 0.08089146018028259, 'redshifts/outlier_fraction_cata_bin_3': 0.0578715056180954, 'redshifts/outlier_fraction_cata_bin_4': 0.06061838939785957, 'redshifts/outlier_fraction_cata_bin_5': 0.017416346818208694}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1156/1563 [1:50:36<29:27, 4.34s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72384.])\n", + "total num of pts: tensor([26451., 17524., 7273., 4081., 2458., 14597.])\n", + "{'redshifts/bias_abs': 0.07640169560909271, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004676079377532005, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01104762777686119, 'redshifts/bias_bin_2': -0.002685701474547386, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.313517689704895, 'redshifts/mse_bin_0': 0.43867531418800354, 'redshifts/mse_bin_1': 0.3603731095790863, 'redshifts/mse_bin_2': 0.29996857047080994, 'redshifts/mse_bin_3': 0.22336162626743317, 'redshifts/mse_bin_4': 0.23630838096141815, 'redshifts/mse_bin_5': 0.07542543113231659, 'redshifts/nmad': 0.11297574639320374, 'redshifts/nmad_bin_0': 0.21216844022274017, 'redshifts/nmad_bin_1': 0.13367518782615662, 'redshifts/nmad_bin_2': 0.08829741179943085, 'redshifts/nmad_bin_3': 0.0720382109284401, 'redshifts/nmad_bin_4': 0.06459398567676544, 'redshifts/nmad_bin_5': 0.03523639217019081, 'redshifts/outlier_fraction': 0.3274894952774048, 'redshifts/outlier_fraction_bin_0': 0.48901742696762085, 'redshifts/outlier_fraction_bin_1': 0.3549988567829132, 'redshifts/outlier_fraction_bin_2': 0.2595902681350708, 'redshifts/outlier_fraction_bin_3': 0.20117618143558502, 'redshifts/outlier_fraction_bin_4': 0.1920260339975357, 'redshifts/outlier_fraction_bin_5': 0.09371788799762726, 'redshifts/outlier_fraction_cata': 0.08917716890573502, 'redshifts/outlier_fraction_cata_bin_0': 0.13277380168437958, 'redshifts/outlier_fraction_cata_bin_1': 0.09786578267812729, 'redshifts/outlier_fraction_cata_bin_2': 0.08084696531295776, 'redshifts/outlier_fraction_cata_bin_3': 0.05807400122284889, 'redshifts/outlier_fraction_cata_bin_4': 0.06061838939785957, 'redshifts/outlier_fraction_cata_bin_5': 0.01740083657205105}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1157/1563 [1:50:42<30:47, 4.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72441.])\n", + "total num of pts: tensor([26470., 17540., 7278., 4082., 2460., 14611.])\n", + "{'redshifts/bias_abs': 0.07635202258825302, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09065880626440048, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004657928831875324, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.011012689210474491, 'redshifts/bias_bin_2': -0.00270726322196424, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.3134935796260834, 'redshifts/mse_bin_0': 0.43859878182411194, 'redshifts/mse_bin_1': 0.3605695068836212, 'redshifts/mse_bin_2': 0.29976269602775574, 'redshifts/mse_bin_3': 0.2233072817325592, 'redshifts/mse_bin_4': 0.23613382875919342, 'redshifts/mse_bin_5': 0.07539115101099014, 'redshifts/nmad': 0.1129356101155281, 'redshifts/nmad_bin_0': 0.2121061384677887, 'redshifts/nmad_bin_1': 0.1336233764886856, 'redshifts/nmad_bin_2': 0.08820874989032745, 'redshifts/nmad_bin_3': 0.07194995880126953, 'redshifts/nmad_bin_4': 0.06459398567676544, 'redshifts/nmad_bin_5': 0.03523293137550354, 'redshifts/outlier_fraction': 0.3274112641811371, 'redshifts/outlier_fraction_bin_0': 0.4889308512210846, 'redshifts/outlier_fraction_bin_1': 0.3549600839614868, 'redshifts/outlier_fraction_bin_2': 0.25941193103790283, 'redshifts/outlier_fraction_bin_3': 0.20112690329551697, 'redshifts/outlier_fraction_bin_4': 0.19186991453170776, 'redshifts/outlier_fraction_bin_5': 0.09369652718305588, 'redshifts/outlier_fraction_cata': 0.08917602151632309, 'redshifts/outlier_fraction_cata_bin_0': 0.13275405764579773, 'redshifts/outlier_fraction_cata_bin_1': 0.09794754534959793, 'redshifts/outlier_fraction_cata_bin_2': 0.0807914286851883, 'redshifts/outlier_fraction_cata_bin_3': 0.058059774339199066, 'redshifts/outlier_fraction_cata_bin_4': 0.06056910753250122, 'redshifts/outlier_fraction_cata_bin_5': 0.017384162172675133}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1158/1563 [1:50:46<30:35, 4.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72500.])\n", + "total num of pts: tensor([26484., 17557., 7282., 4087., 2462., 14628.])\n", + "{'redshifts/bias_abs': 0.07635871320962906, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04821203276515007, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004662623163312674, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.011041046120226383, 'redshifts/bias_bin_2': -0.00270726322196424, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.31343576312065125, 'redshifts/mse_bin_0': 0.43853560090065, 'redshifts/mse_bin_1': 0.36051061749458313, 'redshifts/mse_bin_2': 0.3000767230987549, 'redshifts/mse_bin_3': 0.2232750803232193, 'redshifts/mse_bin_4': 0.2359861135482788, 'redshifts/mse_bin_5': 0.0753149539232254, 'redshifts/nmad': 0.11294284462928772, 'redshifts/nmad_bin_0': 0.21216042339801788, 'redshifts/nmad_bin_1': 0.13371534645557404, 'redshifts/nmad_bin_2': 0.08820874989032745, 'redshifts/nmad_bin_3': 0.07200504839420319, 'redshifts/nmad_bin_4': 0.06459398567676544, 'redshifts/nmad_bin_5': 0.03524310886859894, 'redshifts/outlier_fraction': 0.3274344801902771, 'redshifts/outlier_fraction_bin_0': 0.4889744818210602, 'redshifts/outlier_fraction_bin_1': 0.3551290035247803, 'redshifts/outlier_fraction_bin_2': 0.2594067454338074, 'redshifts/outlier_fraction_bin_3': 0.20137019455432892, 'redshifts/outlier_fraction_bin_4': 0.19171404838562012, 'redshifts/outlier_fraction_bin_5': 0.09365600347518921, 'redshifts/outlier_fraction_cata': 0.08917241543531418, 'redshifts/outlier_fraction_cata_bin_0': 0.13275940716266632, 'redshifts/outlier_fraction_cata_bin_1': 0.09796662628650665, 'redshifts/outlier_fraction_cata_bin_2': 0.08088437467813492, 'redshifts/outlier_fraction_cata_bin_3': 0.05798874422907829, 'redshifts/outlier_fraction_cata_bin_4': 0.060519903898239136, 'redshifts/outlier_fraction_cata_bin_5': 0.017363959923386574}\n", + "total num of pts: tensor([72554.])\n", + "total num of pts: tensor([26501., 17575., 7287., 4090., 2463., 14638.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1159/1563 [1:50:51<31:18, 4.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07635871320962906, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09065880626440048, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04821203276515007, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.0046578943729400635, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.011015895754098892, 'redshifts/bias_bin_2': -0.00270726322196424, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.31360065937042236, 'redshifts/mse_bin_0': 0.4386356770992279, 'redshifts/mse_bin_1': 0.36048027873039246, 'redshifts/mse_bin_2': 0.30094894766807556, 'redshifts/mse_bin_3': 0.22428284585475922, 'redshifts/mse_bin_4': 0.23591190576553345, 'redshifts/mse_bin_5': 0.0752718523144722, 'redshifts/nmad': 0.11293583363294601, 'redshifts/nmad_bin_0': 0.21217063069343567, 'redshifts/nmad_bin_1': 0.13367344439029694, 'redshifts/nmad_bin_2': 0.08826346695423126, 'redshifts/nmad_bin_3': 0.07200504839420319, 'redshifts/nmad_bin_4': 0.06474293023347855, 'redshifts/nmad_bin_5': 0.03523537516593933, 'redshifts/outlier_fraction': 0.3274526596069336, 'redshifts/outlier_fraction_bin_0': 0.4890381395816803, 'redshifts/outlier_fraction_bin_1': 0.35499289631843567, 'redshifts/outlier_fraction_bin_2': 0.25950321555137634, 'redshifts/outlier_fraction_bin_3': 0.20146699249744415, 'redshifts/outlier_fraction_bin_4': 0.19204223155975342, 'redshifts/outlier_fraction_bin_5': 0.09366033971309662, 'redshifts/outlier_fraction_cata': 0.08918873965740204, 'redshifts/outlier_fraction_cata_bin_0': 0.13274970650672913, 'redshifts/outlier_fraction_cata_bin_1': 0.0979800820350647, 'redshifts/outlier_fraction_cata_bin_2': 0.08096610754728317, 'redshifts/outlier_fraction_cata_bin_3': 0.058190710842609406, 'redshifts/outlier_fraction_cata_bin_4': 0.06049533188343048, 'redshifts/outlier_fraction_cata_bin_5': 0.017352096736431122}\n", + "total num of pts: tensor([72614.])\n", + "total num of pts: tensor([26519., 17592., 7294., 4093., 2465., 14651.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1160/1563 [1:50:55<30:05, 4.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07641120254993439, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04821769520640373, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004669431131333113, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01097824051976204, 'redshifts/bias_bin_2': -0.002685701474547386, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 0.00017014109471347183, 'redshifts/mse': 0.3134615123271942, 'redshifts/mse_bin_0': 0.4384746253490448, 'redshifts/mse_bin_1': 0.3603583872318268, 'redshifts/mse_bin_2': 0.3007037341594696, 'redshifts/mse_bin_3': 0.22414030134677887, 'redshifts/mse_bin_4': 0.23572249710559845, 'redshifts/mse_bin_5': 0.07525217533111572, 'redshifts/nmad': 0.11296115070581436, 'redshifts/nmad_bin_0': 0.2121582180261612, 'redshifts/nmad_bin_1': 0.13367486000061035, 'redshifts/nmad_bin_2': 0.08824672549962997, 'redshifts/nmad_bin_3': 0.07202795892953873, 'redshifts/nmad_bin_4': 0.06444116681814194, 'redshifts/nmad_bin_5': 0.03524283692240715, 'redshifts/outlier_fraction': 0.32741621136665344, 'redshifts/outlier_fraction_bin_0': 0.48893246054649353, 'redshifts/outlier_fraction_bin_1': 0.35510459542274475, 'redshifts/outlier_fraction_bin_2': 0.25939127802848816, 'redshifts/outlier_fraction_bin_3': 0.20156364142894745, 'redshifts/outlier_fraction_bin_4': 0.19188641011714935, 'redshifts/outlier_fraction_bin_5': 0.09364548325538635, 'redshifts/outlier_fraction_cata': 0.08911504596471786, 'redshifts/outlier_fraction_cata_bin_0': 0.13265959918498993, 'redshifts/outlier_fraction_cata_bin_1': 0.09788540005683899, 'redshifts/outlier_fraction_cata_bin_2': 0.08088839799165726, 'redshifts/outlier_fraction_cata_bin_3': 0.05814805626869202, 'redshifts/outlier_fraction_cata_bin_4': 0.06044624745845795, 'redshifts/outlier_fraction_cata_bin_5': 0.01733670011162758}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1161/1563 [1:50:58<27:54, 4.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72677.])\n", + "total num of pts: tensor([26535., 17612., 7302., 4093., 2470., 14665.])\n", + "{'redshifts/bias_abs': 0.07639125734567642, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04821769520640373, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.0046538906171917915, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.01090704370290041, 'redshifts/bias_bin_2': -0.002693274524062872, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.3134174346923828, 'redshifts/mse_bin_0': 0.43842363357543945, 'redshifts/mse_bin_1': 0.36050939559936523, 'redshifts/mse_bin_2': 0.3003963530063629, 'redshifts/mse_bin_3': 0.22414030134677887, 'redshifts/mse_bin_4': 0.2355632334947586, 'redshifts/mse_bin_5': 0.0751848965883255, 'redshifts/nmad': 0.11294849961996078, 'redshifts/nmad_bin_0': 0.21212056279182434, 'redshifts/nmad_bin_1': 0.13364915549755096, 'redshifts/nmad_bin_2': 0.08825795352458954, 'redshifts/nmad_bin_3': 0.07202795892953873, 'redshifts/nmad_bin_4': 0.06437307596206665, 'redshifts/nmad_bin_5': 0.03524596989154816, 'redshifts/outlier_fraction': 0.32738006114959717, 'redshifts/outlier_fraction_bin_0': 0.48890143632888794, 'redshifts/outlier_fraction_bin_1': 0.3552691340446472, 'redshifts/outlier_fraction_bin_2': 0.2591070830821991, 'redshifts/outlier_fraction_bin_3': 0.20156364142894745, 'redshifts/outlier_fraction_bin_4': 0.19190283119678497, 'redshifts/outlier_fraction_bin_5': 0.09355608373880386, 'redshifts/outlier_fraction_cata': 0.08909283578395844, 'redshifts/outlier_fraction_cata_bin_0': 0.1326172947883606, 'redshifts/outlier_fraction_cata_bin_1': 0.09794458001852036, 'redshifts/outlier_fraction_cata_bin_2': 0.08079978078603745, 'redshifts/outlier_fraction_cata_bin_3': 0.05814805626869202, 'redshifts/outlier_fraction_cata_bin_4': 0.06032388657331467, 'redshifts/outlier_fraction_cata_bin_5': 0.01732015050947666}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1162/1563 [1:51:02<27:01, 4.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72741.])\n", + "total num of pts: tensor([26557., 17622., 7312., 4097., 2471., 14682.])\n", + "{'redshifts/bias_abs': 0.07638644427061081, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04821769520640373, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004657928831875324, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.002685701474547386, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.31337621808052063, 'redshifts/mse_bin_0': 0.43824702501296997, 'redshifts/mse_bin_1': 0.3607544004917145, 'redshifts/mse_bin_2': 0.30008819699287415, 'redshifts/mse_bin_3': 0.22465749084949493, 'redshifts/mse_bin_4': 0.23553459346294403, 'redshifts/mse_bin_5': 0.07511501014232635, 'redshifts/nmad': 0.11295164376497269, 'redshifts/nmad_bin_0': 0.2120850384235382, 'redshifts/nmad_bin_1': 0.13371732831001282, 'redshifts/nmad_bin_2': 0.08824672549962997, 'redshifts/nmad_bin_3': 0.07202795892953873, 'redshifts/nmad_bin_4': 0.06443542242050171, 'redshifts/nmad_bin_5': 0.03526165336370468, 'redshifts/outlier_fraction': 0.32735320925712585, 'redshifts/outlier_fraction_bin_0': 0.48879769444465637, 'redshifts/outlier_fraction_bin_1': 0.3553512692451477, 'redshifts/outlier_fraction_bin_2': 0.25902625918388367, 'redshifts/outlier_fraction_bin_3': 0.20185501873493195, 'redshifts/outlier_fraction_bin_4': 0.19222986698150635, 'redshifts/outlier_fraction_bin_5': 0.09351587295532227, 'redshifts/outlier_fraction_cata': 0.08909693360328674, 'redshifts/outlier_fraction_cata_bin_0': 0.1325450986623764, 'redshifts/outlier_fraction_cata_bin_1': 0.09811598807573318, 'redshifts/outlier_fraction_cata_bin_2': 0.08068928122520447, 'redshifts/outlier_fraction_cata_bin_3': 0.05833536759018898, 'redshifts/outlier_fraction_cata_bin_4': 0.060299474745988846, 'redshifts/outlier_fraction_cata_bin_5': 0.017300095409154892}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1163/1563 [1:51:06<26:21, 3.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72795.])\n", + "total num of pts: tensor([26576., 17637., 7316., 4099., 2472., 14695.])\n", + "{'redshifts/bias_abs': 0.07638644427061081, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04821769520640373, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004653424024581909, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010976867750287056, 'redshifts/bias_bin_2': -0.002685701474547386, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.31327924132347107, 'redshifts/mse_bin_0': 0.4382045269012451, 'redshifts/mse_bin_1': 0.36056336760520935, 'redshifts/mse_bin_2': 0.29993823170661926, 'redshifts/mse_bin_3': 0.22454926371574402, 'redshifts/mse_bin_4': 0.23544149100780487, 'redshifts/mse_bin_5': 0.07508336007595062, 'redshifts/nmad': 0.11294496059417725, 'redshifts/nmad_bin_0': 0.212095707654953, 'redshifts/nmad_bin_1': 0.1337427943944931, 'redshifts/nmad_bin_2': 0.08824672549962997, 'redshifts/nmad_bin_3': 0.07200504839420319, 'redshifts/nmad_bin_4': 0.06443542242050171, 'redshifts/nmad_bin_5': 0.035260334610939026, 'redshifts/outlier_fraction': 0.3273988664150238, 'redshifts/outlier_fraction_bin_0': 0.4888245165348053, 'redshifts/outlier_fraction_bin_1': 0.3555026352405548, 'redshifts/outlier_fraction_bin_2': 0.2590213119983673, 'redshifts/outlier_fraction_bin_3': 0.2017565220594406, 'redshifts/outlier_fraction_bin_4': 0.19215209782123566, 'redshifts/outlier_fraction_bin_5': 0.09356924146413803, 'redshifts/outlier_fraction_cata': 0.08904457837343216, 'redshifts/outlier_fraction_cata_bin_0': 0.132487952709198, 'redshifts/outlier_fraction_cata_bin_1': 0.09803254157304764, 'redshifts/outlier_fraction_cata_bin_2': 0.08064515888690948, 'redshifts/outlier_fraction_cata_bin_3': 0.05830690264701843, 'redshifts/outlier_fraction_cata_bin_4': 0.06027508154511452, 'redshifts/outlier_fraction_cata_bin_5': 0.01728479005396366}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 74%|███████▍ | 1164/1563 [1:51:10<25:41, 3.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72854.])\n", + "total num of pts: tensor([26594., 17649., 7323., 4103., 2472., 14713.])\n", + "{'redshifts/bias_abs': 0.07639125734567642, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004652073141187429, 'redshifts/bias_bin_0': 0.029310746118426323, 'redshifts/bias_bin_1': 0.010968540795147419, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.3132053315639496, 'redshifts/mse_bin_0': 0.4380931258201599, 'redshifts/mse_bin_1': 0.36061999201774597, 'redshifts/mse_bin_2': 0.29971134662628174, 'redshifts/mse_bin_3': 0.22486239671707153, 'redshifts/mse_bin_4': 0.23544149100780487, 'redshifts/mse_bin_5': 0.07500705868005753, 'redshifts/nmad': 0.1129458099603653, 'redshifts/nmad_bin_0': 0.21211397647857666, 'redshifts/nmad_bin_1': 0.1337551325559616, 'redshifts/nmad_bin_2': 0.08826947212219238, 'redshifts/nmad_bin_3': 0.07202795892953873, 'redshifts/nmad_bin_4': 0.06443542242050171, 'redshifts/nmad_bin_5': 0.0352792851626873, 'redshifts/outlier_fraction': 0.3274082541465759, 'redshifts/outlier_fraction_bin_0': 0.4888320565223694, 'redshifts/outlier_fraction_bin_1': 0.35560089349746704, 'redshifts/outlier_fraction_bin_2': 0.25904685258865356, 'redshifts/outlier_fraction_bin_3': 0.2018035650253296, 'redshifts/outlier_fraction_bin_4': 0.19215209782123566, 'redshifts/outlier_fraction_bin_5': 0.09359069913625717, 'redshifts/outlier_fraction_cata': 0.08902736753225327, 'redshifts/outlier_fraction_cata_bin_0': 0.13247348368167877, 'redshifts/outlier_fraction_cata_bin_1': 0.09802255034446716, 'redshifts/outlier_fraction_cata_bin_2': 0.08056807518005371, 'redshifts/outlier_fraction_cata_bin_3': 0.05849378556013107, 'redshifts/outlier_fraction_cata_bin_4': 0.06027508154511452, 'redshifts/outlier_fraction_cata_bin_5': 0.01726364530622959}\n", + "total num of pts: tensor([72919.])\n", + "total num of pts: tensor([26610., 17668., 7328., 4107., 2473., 14733.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▍ | 1165/1563 [1:51:15<27:51, 4.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07640169560909271, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004653424024581909, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01090704370290041, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 0.00013360381126403809, 'redshifts/mse': 0.31311383843421936, 'redshifts/mse_bin_0': 0.43805792927742004, 'redshifts/mse_bin_1': 0.3605901002883911, 'redshifts/mse_bin_2': 0.2995094656944275, 'redshifts/mse_bin_3': 0.22470223903656006, 'redshifts/mse_bin_4': 0.2353467047214508, 'redshifts/mse_bin_5': 0.07497521489858627, 'redshifts/nmad': 0.11294862627983093, 'redshifts/nmad_bin_0': 0.21218881011009216, 'redshifts/nmad_bin_1': 0.1339140087366104, 'redshifts/nmad_bin_2': 0.08818890899419785, 'redshifts/nmad_bin_3': 0.07204615324735641, 'redshifts/nmad_bin_4': 0.06444116681814194, 'redshifts/nmad_bin_5': 0.03531277924776077, 'redshifts/outlier_fraction': 0.32748666405677795, 'redshifts/outlier_fraction_bin_0': 0.4890642762184143, 'redshifts/outlier_fraction_bin_1': 0.355727881193161, 'redshifts/outlier_fraction_bin_2': 0.25887009501457214, 'redshifts/outlier_fraction_bin_3': 0.2018505036830902, 'redshifts/outlier_fraction_bin_4': 0.19207440316677094, 'redshifts/outlier_fraction_bin_5': 0.09366727620363235, 'redshifts/outlier_fraction_cata': 0.08898915350437164, 'redshifts/outlier_fraction_cata_bin_0': 0.13243141770362854, 'redshifts/outlier_fraction_cata_bin_1': 0.09803033620119095, 'redshifts/outlier_fraction_cata_bin_2': 0.08051309734582901, 'redshifts/outlier_fraction_cata_bin_3': 0.058436814695596695, 'redshifts/outlier_fraction_cata_bin_4': 0.06025070697069168, 'redshifts/outlier_fraction_cata_bin_5': 0.017240209504961967}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▍ | 1166/1563 [1:51:18<27:08, 4.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([72976.])\n", + "total num of pts: tensor([26636., 17680., 7332., 4110., 2474., 14744.])\n", + "{'redshifts/bias_abs': 0.07644643634557724, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004651110619306564, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006372799631208181, 'redshifts/bias_bin_5': 0.00013080239295959473, 'redshifts/mse': 0.3132427930831909, 'redshifts/mse_bin_0': 0.4381721615791321, 'redshifts/mse_bin_1': 0.36093440651893616, 'redshifts/mse_bin_2': 0.29938966035842896, 'redshifts/mse_bin_3': 0.22500528395175934, 'redshifts/mse_bin_4': 0.23530460894107819, 'redshifts/mse_bin_5': 0.07492204010486603, 'redshifts/nmad': 0.11300713568925858, 'redshifts/nmad_bin_0': 0.21229830384254456, 'redshifts/nmad_bin_1': 0.13393044471740723, 'redshifts/nmad_bin_2': 0.08818890899419785, 'redshifts/nmad_bin_3': 0.07205851376056671, 'redshifts/nmad_bin_4': 0.06444116681814194, 'redshifts/nmad_bin_5': 0.03531693294644356, 'redshifts/outlier_fraction': 0.3275734484195709, 'redshifts/outlier_fraction_bin_0': 0.4893001914024353, 'redshifts/outlier_fraction_bin_1': 0.35565611720085144, 'redshifts/outlier_fraction_bin_2': 0.25886523723602295, 'redshifts/outlier_fraction_bin_3': 0.20218978822231293, 'redshifts/outlier_fraction_bin_4': 0.191996768116951, 'redshifts/outlier_fraction_bin_5': 0.0935973972082138, 'redshifts/outlier_fraction_cata': 0.08902926743030548, 'redshifts/outlier_fraction_cata_bin_0': 0.1324898600578308, 'redshifts/outlier_fraction_cata_bin_1': 0.09807692468166351, 'redshifts/outlier_fraction_cata_bin_2': 0.08046917617321014, 'redshifts/outlier_fraction_cata_bin_3': 0.05863747000694275, 'redshifts/outlier_fraction_cata_bin_4': 0.060226354748010635, 'redshifts/outlier_fraction_cata_bin_5': 0.01722734607756138}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▍ | 1167/1563 [1:51:22<26:29, 4.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73041.])\n", + "total num of pts: tensor([26657., 17694., 7341., 4117., 2475., 14757.])\n", + "{'redshifts/bias_abs': 0.07643919438123703, 'redshifts/bias_abs_bin_0': 0.1449373960494995, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04821769520640373, 'redshifts/bias_abs_bin_4': 0.043608587235212326, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004616110119968653, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.31318044662475586, 'redshifts/mse_bin_0': 0.4380623400211334, 'redshifts/mse_bin_1': 0.3610428273677826, 'redshifts/mse_bin_2': 0.29919523000717163, 'redshifts/mse_bin_3': 0.22486594319343567, 'redshifts/mse_bin_4': 0.23521164059638977, 'redshifts/mse_bin_5': 0.07487566769123077, 'redshifts/nmad': 0.11301825940608978, 'redshifts/nmad_bin_0': 0.21237534284591675, 'redshifts/nmad_bin_1': 0.13398660719394684, 'redshifts/nmad_bin_2': 0.08826947212219238, 'redshifts/nmad_bin_3': 0.07202795892953873, 'redshifts/nmad_bin_4': 0.06482167541980743, 'redshifts/nmad_bin_5': 0.03530626744031906, 'redshifts/outlier_fraction': 0.3275146782398224, 'redshifts/outlier_fraction_bin_0': 0.48921483755111694, 'redshifts/outlier_fraction_bin_1': 0.35565727949142456, 'redshifts/outlier_fraction_bin_2': 0.25868409872055054, 'redshifts/outlier_fraction_bin_3': 0.2023317962884903, 'redshifts/outlier_fraction_bin_4': 0.19191919267177582, 'redshifts/outlier_fraction_bin_5': 0.09358270466327667, 'redshifts/outlier_fraction_cata': 0.08900480717420578, 'redshifts/outlier_fraction_cata_bin_0': 0.13246051967144012, 'redshifts/outlier_fraction_cata_bin_1': 0.09805583953857422, 'redshifts/outlier_fraction_cata_bin_2': 0.08050674200057983, 'redshifts/outlier_fraction_cata_bin_3': 0.05853777006268501, 'redshifts/outlier_fraction_cata_bin_4': 0.06020202115178108, 'redshifts/outlier_fraction_cata_bin_5': 0.017212171107530594}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▍ | 1168/1563 [1:51:25<24:08, 3.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73102.])\n", + "total num of pts: tensor([26678., 17711., 7347., 4121., 2475., 14770.])\n", + "{'redshifts/bias_abs': 0.07639125734567642, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04821203276515007, 'redshifts/bias_abs_bin_4': 0.043608587235212326, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004617899656295776, 'redshifts/bias_bin_0': 0.029310746118426323, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.00013080239295959473, 'redshifts/mse': 0.3132435381412506, 'redshifts/mse_bin_0': 0.4381665587425232, 'redshifts/mse_bin_1': 0.36096838116645813, 'redshifts/mse_bin_2': 0.29908010363578796, 'redshifts/mse_bin_3': 0.224656879901886, 'redshifts/mse_bin_4': 0.23521164059638977, 'redshifts/mse_bin_5': 0.07521121948957443, 'redshifts/nmad': 0.11295497417449951, 'redshifts/nmad_bin_0': 0.21227504312992096, 'redshifts/nmad_bin_1': 0.13389907777309418, 'redshifts/nmad_bin_2': 0.08830152451992035, 'redshifts/nmad_bin_3': 0.07200504839420319, 'redshifts/nmad_bin_4': 0.06482167541980743, 'redshifts/nmad_bin_5': 0.035309772938489914, 'redshifts/outlier_fraction': 0.32748761773109436, 'redshifts/outlier_fraction_bin_0': 0.4892045855522156, 'redshifts/outlier_fraction_bin_1': 0.35548529028892517, 'redshifts/outlier_fraction_bin_2': 0.25874507427215576, 'redshifts/outlier_fraction_bin_3': 0.20213539898395538, 'redshifts/outlier_fraction_bin_4': 0.19191919267177582, 'redshifts/outlier_fraction_bin_5': 0.09370345622301102, 'redshifts/outlier_fraction_cata': 0.08902629464864731, 'redshifts/outlier_fraction_cata_bin_0': 0.13250619173049927, 'redshifts/outlier_fraction_cata_bin_1': 0.09801818430423737, 'redshifts/outlier_fraction_cata_bin_2': 0.08044099807739258, 'redshifts/outlier_fraction_cata_bin_3': 0.05848095193505287, 'redshifts/outlier_fraction_cata_bin_4': 0.06020202115178108, 'redshifts/outlier_fraction_cata_bin_5': 0.01733243092894554}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▍ | 1169/1563 [1:51:28<21:54, 3.34s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73166.])\n", + "total num of pts: tensor([26699., 17722., 7353., 4129., 2481., 14782.])\n", + "{'redshifts/bias_abs': 0.07638241350650787, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.043608587235212326, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004628235474228859, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 0.00013080239295959473, 'redshifts/mse': 0.3133205473423004, 'redshifts/mse_bin_0': 0.43828657269477844, 'redshifts/mse_bin_1': 0.3609307110309601, 'redshifts/mse_bin_2': 0.2990265488624573, 'redshifts/mse_bin_3': 0.22425353527069092, 'redshifts/mse_bin_4': 0.23586884140968323, 'redshifts/mse_bin_5': 0.07551514357328415, 'redshifts/nmad': 0.11293203383684158, 'redshifts/nmad_bin_0': 0.21230046451091766, 'redshifts/nmad_bin_1': 0.13377386331558228, 'redshifts/nmad_bin_2': 0.08826947212219238, 'redshifts/nmad_bin_3': 0.07200504839420319, 'redshifts/nmad_bin_4': 0.06484827399253845, 'redshifts/nmad_bin_5': 0.035309772938489914, 'redshifts/outlier_fraction': 0.32744717597961426, 'redshifts/outlier_fraction_bin_0': 0.48915690183639526, 'redshifts/outlier_fraction_bin_1': 0.3553774952888489, 'redshifts/outlier_fraction_bin_2': 0.25880593061447144, 'redshifts/outlier_fraction_bin_3': 0.20198595523834229, 'redshifts/outlier_fraction_bin_4': 0.19226118922233582, 'redshifts/outlier_fraction_bin_5': 0.09376268088817596, 'redshifts/outlier_fraction_cata': 0.089030422270298, 'redshifts/outlier_fraction_cata_bin_0': 0.1325143277645111, 'redshifts/outlier_fraction_cata_bin_1': 0.09801376610994339, 'redshifts/outlier_fraction_cata_bin_2': 0.08037535846233368, 'redshifts/outlier_fraction_cata_bin_3': 0.058367643505334854, 'redshifts/outlier_fraction_cata_bin_4': 0.06045949086546898, 'redshifts/outlier_fraction_cata_bin_5': 0.01738600991666317}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▍ | 1170/1563 [1:51:30<20:20, 3.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73240.])\n", + "total num of pts: tensor([26725., 17741., 7362., 4130., 2481., 14801.])\n", + "{'redshifts/bias_abs': 0.07634434849023819, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.043608587235212326, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004645819775760174, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006045092362910509, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.31321462988853455, 'redshifts/mse_bin_0': 0.43815869092941284, 'redshifts/mse_bin_1': 0.3607519567012787, 'redshifts/mse_bin_2': 0.2986712157726288, 'redshifts/mse_bin_3': 0.22419972717761993, 'redshifts/mse_bin_4': 0.23586884140968323, 'redshifts/mse_bin_5': 0.07566753029823303, 'redshifts/nmad': 0.11291323602199554, 'redshifts/nmad_bin_0': 0.21230758726596832, 'redshifts/nmad_bin_1': 0.1338934749364853, 'redshifts/nmad_bin_2': 0.08822699636220932, 'redshifts/nmad_bin_3': 0.07196754962205887, 'redshifts/nmad_bin_4': 0.06484827399253845, 'redshifts/nmad_bin_5': 0.03532404080033302, 'redshifts/outlier_fraction': 0.3274576663970947, 'redshifts/outlier_fraction_bin_0': 0.4891674518585205, 'redshifts/outlier_fraction_bin_1': 0.35544782876968384, 'redshifts/outlier_fraction_bin_2': 0.25848954916000366, 'redshifts/outlier_fraction_bin_3': 0.20193704962730408, 'redshifts/outlier_fraction_bin_4': 0.19226118922233582, 'redshifts/outlier_fraction_bin_5': 0.09391257166862488, 'redshifts/outlier_fraction_cata': 0.08898142725229263, 'redshifts/outlier_fraction_cata_bin_0': 0.13246023654937744, 'redshifts/outlier_fraction_cata_bin_1': 0.09790880233049393, 'redshifts/outlier_fraction_cata_bin_2': 0.08027710020542145, 'redshifts/outlier_fraction_cata_bin_3': 0.05835350975394249, 'redshifts/outlier_fraction_cata_bin_4': 0.06045949086546898, 'redshifts/outlier_fraction_cata_bin_5': 0.01743125542998314}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▍ | 1171/1563 [1:51:33<19:19, 2.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73318.])\n", + "total num of pts: tensor([26746., 17760., 7372., 4137., 2483., 14820.])\n", + "{'redshifts/bias_abs': 0.07632797956466675, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09084222465753555, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.043608587235212326, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004652073141187429, 'redshifts/bias_bin_0': 0.02941843681037426, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006116146687418222, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.31317225098609924, 'redshifts/mse_bin_0': 0.4382748305797577, 'redshifts/mse_bin_1': 0.36077943444252014, 'redshifts/mse_bin_2': 0.2983850836753845, 'redshifts/mse_bin_3': 0.22398054599761963, 'redshifts/mse_bin_4': 0.23569004237651825, 'redshifts/mse_bin_5': 0.07557755708694458, 'redshifts/nmad': 0.11290042847394943, 'redshifts/nmad_bin_0': 0.21227021515369415, 'redshifts/nmad_bin_1': 0.13395914435386658, 'redshifts/nmad_bin_2': 0.08826897293329239, 'redshifts/nmad_bin_3': 0.07193697243928909, 'redshifts/nmad_bin_4': 0.06482167541980743, 'redshifts/nmad_bin_5': 0.035335615277290344, 'redshifts/outlier_fraction': 0.3274366557598114, 'redshifts/outlier_fraction_bin_0': 0.48911985754966736, 'redshifts/outlier_fraction_bin_1': 0.35563063621520996, 'redshifts/outlier_fraction_bin_2': 0.2586815059185028, 'redshifts/outlier_fraction_bin_3': 0.20183707773685455, 'redshifts/outlier_fraction_bin_4': 0.19210632145404816, 'redshifts/outlier_fraction_bin_5': 0.09379217028617859, 'redshifts/outlier_fraction_cata': 0.08894132077693939, 'redshifts/outlier_fraction_cata_bin_0': 0.13246840238571167, 'redshifts/outlier_fraction_cata_bin_1': 0.09786035865545273, 'redshifts/outlier_fraction_cata_bin_2': 0.08016820251941681, 'redshifts/outlier_fraction_cata_bin_3': 0.058254774659872055, 'redshifts/outlier_fraction_cata_bin_4': 0.060410793870687485, 'redshifts/outlier_fraction_cata_bin_5': 0.017408907413482666}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▍ | 1172/1563 [1:51:39<24:58, 3.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73380.])\n", + "total num of pts: tensor([26766., 17772., 7381., 4139., 2487., 14835.])\n", + "{'redshifts/bias_abs': 0.07631302624940872, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.05958431586623192, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004645819775760174, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.31316235661506653, 'redshifts/mse_bin_0': 0.43843555450439453, 'redshifts/mse_bin_1': 0.3606279790401459, 'redshifts/mse_bin_2': 0.29852738976478577, 'redshifts/mse_bin_3': 0.22387954592704773, 'redshifts/mse_bin_4': 0.2353205382823944, 'redshifts/mse_bin_5': 0.0755142942070961, 'redshifts/nmad': 0.11289867013692856, 'redshifts/nmad_bin_0': 0.21228119730949402, 'redshifts/nmad_bin_1': 0.13389146327972412, 'redshifts/nmad_bin_2': 0.08839340507984161, 'redshifts/nmad_bin_3': 0.0719246044754982, 'redshifts/nmad_bin_4': 0.06443542242050171, 'redshifts/nmad_bin_5': 0.03533221781253815, 'redshifts/outlier_fraction': 0.3273371458053589, 'redshifts/outlier_fraction_bin_0': 0.4891279935836792, 'redshifts/outlier_fraction_bin_1': 0.3554467558860779, 'redshifts/outlier_fraction_bin_2': 0.25863704085350037, 'redshifts/outlier_fraction_bin_3': 0.20173954963684082, 'redshifts/outlier_fraction_bin_4': 0.19179734587669373, 'redshifts/outlier_fraction_bin_5': 0.09369733929634094, 'redshifts/outlier_fraction_cata': 0.08894794434309006, 'redshifts/outlier_fraction_cata_bin_0': 0.13251887261867523, 'redshifts/outlier_fraction_cata_bin_1': 0.09785055369138718, 'redshifts/outlier_fraction_cata_bin_2': 0.08020593225955963, 'redshifts/outlier_fraction_cata_bin_3': 0.05822662636637688, 'redshifts/outlier_fraction_cata_bin_4': 0.060313630849123, 'redshifts/outlier_fraction_cata_bin_5': 0.017391303554177284}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▌ | 1173/1563 [1:51:41<22:13, 3.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73465.])\n", + "total num of pts: tensor([26791., 17792., 7392., 4144., 2491., 14855.])\n", + "{'redshifts/bias_abs': 0.07627260684967041, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004630311392247677, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010895960032939911, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00014220314915291965, 'redshifts/mse': 0.31305402517318726, 'redshifts/mse_bin_0': 0.4382282495498657, 'redshifts/mse_bin_1': 0.36041101813316345, 'redshifts/mse_bin_2': 0.2991063892841339, 'redshifts/mse_bin_3': 0.22412316501140594, 'redshifts/mse_bin_4': 0.23496535420417786, 'redshifts/mse_bin_5': 0.07542281597852707, 'redshifts/nmad': 0.11285411566495895, 'redshifts/nmad_bin_0': 0.21227656304836273, 'redshifts/nmad_bin_1': 0.13385504484176636, 'redshifts/nmad_bin_2': 0.08826947212219238, 'redshifts/nmad_bin_3': 0.07210802286863327, 'redshifts/nmad_bin_4': 0.06435667723417282, 'redshifts/nmad_bin_5': 0.03532189875841141, 'redshifts/outlier_fraction': 0.3272714912891388, 'redshifts/outlier_fraction_bin_0': 0.48904481530189514, 'redshifts/outlier_fraction_bin_1': 0.355328232049942, 'redshifts/outlier_fraction_bin_2': 0.25879329442977905, 'redshifts/outlier_fraction_bin_3': 0.20197875797748566, 'redshifts/outlier_fraction_bin_4': 0.19189080595970154, 'redshifts/outlier_fraction_bin_5': 0.09363850206136703, 'redshifts/outlier_fraction_cata': 0.08889947831630707, 'redshifts/outlier_fraction_cata_bin_0': 0.13243253529071808, 'redshifts/outlier_fraction_cata_bin_1': 0.09779676049947739, 'redshifts/outlier_fraction_cata_bin_2': 0.08022186160087585, 'redshifts/outlier_fraction_cata_bin_3': 0.05839768424630165, 'redshifts/outlier_fraction_cata_bin_4': 0.06021678075194359, 'redshifts/outlier_fraction_cata_bin_5': 0.01736789010465145}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▌ | 1174/1563 [1:51:51<33:42, 5.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73531.])\n", + "total num of pts: tensor([26813., 17809., 7398., 4151., 2492., 14868.])\n", + "{'redshifts/bias_abs': 0.07627260684967041, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004629128146916628, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010897455736994743, 'redshifts/bias_bin_2': -0.002668320666998625, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.3131944239139557, 'redshifts/mse_bin_0': 0.43829241394996643, 'redshifts/mse_bin_1': 0.3607502579689026, 'redshifts/mse_bin_2': 0.29898548126220703, 'redshifts/mse_bin_3': 0.22376494109630585, 'redshifts/mse_bin_4': 0.23488306999206543, 'redshifts/mse_bin_5': 0.07579019665718079, 'redshifts/nmad': 0.11285848915576935, 'redshifts/nmad_bin_0': 0.21222548186779022, 'redshifts/nmad_bin_1': 0.1339341700077057, 'redshifts/nmad_bin_2': 0.08831232041120529, 'redshifts/nmad_bin_3': 0.07206681370735168, 'redshifts/nmad_bin_4': 0.06437307596206665, 'redshifts/nmad_bin_5': 0.03532404080033302, 'redshifts/outlier_fraction': 0.32726332545280457, 'redshifts/outlier_fraction_bin_0': 0.4889792203903198, 'redshifts/outlier_fraction_bin_1': 0.3554382622241974, 'redshifts/outlier_fraction_bin_2': 0.2589889168739319, 'redshifts/outlier_fraction_bin_3': 0.20163816213607788, 'redshifts/outlier_fraction_bin_4': 0.19181379675865173, 'redshifts/outlier_fraction_bin_5': 0.09362389147281647, 'redshifts/outlier_fraction_cata': 0.08890128135681152, 'redshifts/outlier_fraction_cata_bin_0': 0.13243575394153595, 'redshifts/outlier_fraction_cata_bin_1': 0.09781571477651596, 'redshifts/outlier_fraction_cata_bin_2': 0.08015679568052292, 'redshifts/outlier_fraction_cata_bin_3': 0.05829920619726181, 'redshifts/outlier_fraction_cata_bin_4': 0.060192614793777466, 'redshifts/outlier_fraction_cata_bin_5': 0.017419962212443352}\n", + "total num of pts: tensor([73597.])\n", + "total num of pts: tensor([26828., 17825., 7410., 4156., 2493., 14885.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▌ | 1175/1563 [1:51:58<37:43, 5.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07626606523990631, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05957437679171562, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004639420658349991, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01090084109455347, 'redshifts/bias_bin_2': -0.0026467021089047194, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.31344524025917053, 'redshifts/mse_bin_0': 0.4386812746524811, 'redshifts/mse_bin_1': 0.36114802956581116, 'redshifts/mse_bin_2': 0.29855233430862427, 'redshifts/mse_bin_3': 0.22419427335262299, 'redshifts/mse_bin_4': 0.23663264513015747, 'redshifts/mse_bin_5': 0.07579632848501205, 'redshifts/nmad': 0.11284323036670685, 'redshifts/nmad_bin_0': 0.2122647613286972, 'redshifts/nmad_bin_1': 0.13385552167892456, 'redshifts/nmad_bin_2': 0.08826947212219238, 'redshifts/nmad_bin_3': 0.07206681370735168, 'redshifts/nmad_bin_4': 0.06443542242050171, 'redshifts/nmad_bin_5': 0.03532404080033302, 'redshifts/outlier_fraction': 0.32722800970077515, 'redshifts/outlier_fraction_bin_0': 0.4890412986278534, 'redshifts/outlier_fraction_bin_1': 0.3553997278213501, 'redshifts/outlier_fraction_bin_2': 0.25870445370674133, 'redshifts/outlier_fraction_bin_3': 0.2016361951828003, 'redshifts/outlier_fraction_bin_4': 0.19213798642158508, 'redshifts/outlier_fraction_bin_5': 0.09365132451057434, 'redshifts/outlier_fraction_cata': 0.08894384652376175, 'redshifts/outlier_fraction_cata_bin_0': 0.13254807889461517, 'redshifts/outlier_fraction_cata_bin_1': 0.09784011542797089, 'redshifts/outlier_fraction_cata_bin_2': 0.08002699166536331, 'redshifts/outlier_fraction_cata_bin_3': 0.058469682931900024, 'redshifts/outlier_fraction_cata_bin_4': 0.06056959554553032, 'redshifts/outlier_fraction_cata_bin_5': 0.017400067299604416}\n", + "total num of pts: tensor([73678.])\n", + "total num of pts: tensor([26854., 17838., 7423., 4161., 2501., 14901.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▌ | 1176/1563 [1:52:03<36:34, 5.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624728232622147, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05960877239704132, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004629387520253658, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01090704370290041, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.00013914685405325145, 'redshifts/mse': 0.3134378492832184, 'redshifts/mse_bin_0': 0.43874484300613403, 'redshifts/mse_bin_1': 0.3609474301338196, 'redshifts/mse_bin_2': 0.2989034354686737, 'redshifts/mse_bin_3': 0.22478242218494415, 'redshifts/mse_bin_4': 0.23595507442951202, 'redshifts/mse_bin_5': 0.07573956251144409, 'redshifts/nmad': 0.11281104385852814, 'redshifts/nmad_bin_0': 0.21228677034378052, 'redshifts/nmad_bin_1': 0.13376495242118835, 'redshifts/nmad_bin_2': 0.08837428689002991, 'redshifts/nmad_bin_3': 0.07209739089012146, 'redshifts/nmad_bin_4': 0.06437307596206665, 'redshifts/nmad_bin_5': 0.035304561257362366, 'redshifts/outlier_fraction': 0.3272075653076172, 'redshifts/outlier_fraction_bin_0': 0.48908916115760803, 'redshifts/outlier_fraction_bin_1': 0.3553088903427124, 'redshifts/outlier_fraction_bin_2': 0.2587902545928955, 'redshifts/outlier_fraction_bin_3': 0.20187455415725708, 'redshifts/outlier_fraction_bin_4': 0.19192323088645935, 'redshifts/outlier_fraction_bin_5': 0.09361787885427475, 'redshifts/outlier_fraction_cata': 0.0889274924993515, 'redshifts/outlier_fraction_cata_bin_0': 0.13256870210170746, 'redshifts/outlier_fraction_cata_bin_1': 0.09776880592107773, 'redshifts/outlier_fraction_cata_bin_2': 0.08002155274152756, 'redshifts/outlier_fraction_cata_bin_3': 0.05863974988460541, 'redshifts/outlier_fraction_cata_bin_4': 0.06037585064768791, 'redshifts/outlier_fraction_cata_bin_5': 0.01738138310611248}\n", + "total num of pts: tensor([73756.])\n", + "total num of pts: tensor([26878., 17858., 7432., 4166., 2504., 14918.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▌ | 1177/1563 [1:52:09<36:31, 5.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624728232622147, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004629128146916628, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.01090704370290041, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.00013080239295959473, 'redshifts/mse': 0.3133743703365326, 'redshifts/mse_bin_0': 0.4386391043663025, 'redshifts/mse_bin_1': 0.36117157340049744, 'redshifts/mse_bin_2': 0.29855024814605713, 'redshifts/mse_bin_3': 0.22454068064689636, 'redshifts/mse_bin_4': 0.23568974435329437, 'redshifts/mse_bin_5': 0.0756956934928894, 'redshifts/nmad': 0.11282110959291458, 'redshifts/nmad_bin_0': 0.21224817633628845, 'redshifts/nmad_bin_1': 0.13383860886096954, 'redshifts/nmad_bin_2': 0.08817938715219498, 'redshifts/nmad_bin_3': 0.07211976498365402, 'redshifts/nmad_bin_4': 0.06437307596206665, 'redshifts/nmad_bin_5': 0.035342197865247726, 'redshifts/outlier_fraction': 0.3271869421005249, 'redshifts/outlier_fraction_bin_0': 0.4890988767147064, 'redshifts/outlier_fraction_bin_1': 0.35530295968055725, 'redshifts/outlier_fraction_bin_2': 0.2584768533706665, 'redshifts/outlier_fraction_bin_3': 0.2018723040819168, 'redshifts/outlier_fraction_bin_4': 0.1916932910680771, 'redshifts/outlier_fraction_bin_5': 0.09377932548522949, 'redshifts/outlier_fraction_cata': 0.08888768404722214, 'redshifts/outlier_fraction_cata_bin_0': 0.1325247436761856, 'redshifts/outlier_fraction_cata_bin_1': 0.0977713093161583, 'redshifts/outlier_fraction_cata_bin_2': 0.07992465049028397, 'redshifts/outlier_fraction_cata_bin_3': 0.058569371700286865, 'redshifts/outlier_fraction_cata_bin_4': 0.06030351296067238, 'redshifts/outlier_fraction_cata_bin_5': 0.017361575737595558}\n", + "total num of pts: tensor([73817.])\n", + "total num of pts: tensor([26896., 17878., 7439., 4169., 2507., 14928.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▌ | 1178/1563 [1:52:15<36:29, 5.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624876499176025, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004629387520253658, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01090704370290041, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006376673933118582, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.3133772015571594, 'redshifts/mse_bin_0': 0.43860527873039246, 'redshifts/mse_bin_1': 0.361238032579422, 'redshifts/mse_bin_2': 0.29831942915916443, 'redshifts/mse_bin_3': 0.22520115971565247, 'redshifts/mse_bin_4': 0.23541748523712158, 'redshifts/mse_bin_5': 0.07565184682607651, 'redshifts/nmad': 0.11284656822681427, 'redshifts/nmad_bin_0': 0.21221207082271576, 'redshifts/nmad_bin_1': 0.13394838571548462, 'redshifts/nmad_bin_2': 0.08818861842155457, 'redshifts/nmad_bin_3': 0.0721660852432251, 'redshifts/nmad_bin_4': 0.06435667723417282, 'redshifts/nmad_bin_5': 0.035335615277290344, 'redshifts/outlier_fraction': 0.3272010385990143, 'redshifts/outlier_fraction_bin_0': 0.48906901478767395, 'redshifts/outlier_fraction_bin_1': 0.3553529381752014, 'redshifts/outlier_fraction_bin_2': 0.2585024833679199, 'redshifts/outlier_fraction_bin_3': 0.20244662463665009, 'redshifts/outlier_fraction_bin_4': 0.191463902592659, 'redshifts/outlier_fraction_bin_5': 0.09371650218963623, 'redshifts/outlier_fraction_cata': 0.08886841684579849, 'redshifts/outlier_fraction_cata_bin_0': 0.13247323036193848, 'redshifts/outlier_fraction_cata_bin_1': 0.09777379781007767, 'redshifts/outlier_fraction_cata_bin_2': 0.07984944432973862, 'redshifts/outlier_fraction_cata_bin_3': 0.05876709148287773, 'redshifts/outlier_fraction_cata_bin_4': 0.06023135036230087, 'redshifts/outlier_fraction_cata_bin_5': 0.01734994724392891}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▌ | 1179/1563 [1:52:19<34:21, 5.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([73904.])\n", + "total num of pts: tensor([26920., 17893., 7448., 4179., 2514., 14950.])\n", + "{'redshifts/bias_abs': 0.07620256394147873, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004629128146916628, 'redshifts/bias_bin_0': 0.029366187751293182, 'redshifts/bias_bin_1': 0.01090704370290041, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00013080239295959473, 'redshifts/mse': 0.3131842613220215, 'redshifts/mse_bin_0': 0.43847087025642395, 'redshifts/mse_bin_1': 0.36120641231536865, 'redshifts/mse_bin_2': 0.29799309372901917, 'redshifts/mse_bin_3': 0.22474688291549683, 'redshifts/mse_bin_4': 0.2347716987133026, 'redshifts/mse_bin_5': 0.07558119297027588, 'redshifts/nmad': 0.11278492957353592, 'redshifts/nmad_bin_0': 0.2122398167848587, 'redshifts/nmad_bin_1': 0.13395075500011444, 'redshifts/nmad_bin_2': 0.08815841376781464, 'redshifts/nmad_bin_3': 0.07202795892953873, 'redshifts/nmad_bin_4': 0.06425046920776367, 'redshifts/nmad_bin_5': 0.03533497825264931, 'redshifts/outlier_fraction': 0.327113538980484, 'redshifts/outlier_fraction_bin_0': 0.4891158938407898, 'redshifts/outlier_fraction_bin_1': 0.35533449053764343, 'redshifts/outlier_fraction_bin_2': 0.25832438468933105, 'redshifts/outlier_fraction_bin_3': 0.2022014856338501, 'redshifts/outlier_fraction_bin_4': 0.1909307837486267, 'redshifts/outlier_fraction_bin_5': 0.09371237456798553, 'redshifts/outlier_fraction_cata': 0.08880439400672913, 'redshifts/outlier_fraction_cata_bin_0': 0.1323922723531723, 'redshifts/outlier_fraction_cata_bin_1': 0.09780360758304596, 'redshifts/outlier_fraction_cata_bin_2': 0.07975295186042786, 'redshifts/outlier_fraction_cata_bin_3': 0.05862646549940109, 'redshifts/outlier_fraction_cata_bin_4': 0.060063645243644714, 'redshifts/outlier_fraction_cata_bin_5': 0.01732441410422325}\n", + "total num of pts: tensor([73993.])\n", + "total num of pts: tensor([26949., 17920., 7458., 4184., 2518., 14964.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 75%|███████▌ | 1180/1563 [1:52:26<36:10, 5.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624242454767227, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004617899656295776, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010876595042645931, 'redshifts/bias_bin_2': -0.0024975943379104137, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00012642316869460046, 'redshifts/mse': 0.3131600320339203, 'redshifts/mse_bin_0': 0.4386146664619446, 'redshifts/mse_bin_1': 0.3610638976097107, 'redshifts/mse_bin_2': 0.2978026568889618, 'redshifts/mse_bin_3': 0.2245025634765625, 'redshifts/mse_bin_4': 0.23443302512168884, 'redshifts/mse_bin_5': 0.07554678618907928, 'redshifts/nmad': 0.11281628161668777, 'redshifts/nmad_bin_0': 0.21224045753479004, 'redshifts/nmad_bin_1': 0.13401642441749573, 'redshifts/nmad_bin_2': 0.08824585378170013, 'redshifts/nmad_bin_3': 0.07201885432004929, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.035338856279850006, 'redshifts/outlier_fraction': 0.32712554931640625, 'redshifts/outlier_fraction_bin_0': 0.4891461730003357, 'redshifts/outlier_fraction_bin_1': 0.3553571403026581, 'redshifts/outlier_fraction_bin_2': 0.258380264043808, 'redshifts/outlier_fraction_bin_3': 0.20195984840393066, 'redshifts/outlier_fraction_bin_4': 0.19062748551368713, 'redshifts/outlier_fraction_bin_5': 0.09375835210084915, 'redshifts/outlier_fraction_cata': 0.08881921321153641, 'redshifts/outlier_fraction_cata_bin_0': 0.1324724406003952, 'redshifts/outlier_fraction_cata_bin_1': 0.09782365709543228, 'redshifts/outlier_fraction_cata_bin_2': 0.0796460211277008, 'redshifts/outlier_fraction_cata_bin_3': 0.05855640396475792, 'redshifts/outlier_fraction_cata_bin_4': 0.05996822938323021, 'redshifts/outlier_fraction_cata_bin_5': 0.017308207228779793}\n", + "total num of pts: tensor([74067.])\n", + "total num of pts: tensor([26974., 17938., 7466., 4192., 2522., 14975.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1181/1563 [1:52:34<41:05, 6.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07624728232622147, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004609274212270975, 'redshifts/bias_bin_0': 0.02936498261988163, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.0001227297616424039, 'redshifts/mse': 0.3130960464477539, 'redshifts/mse_bin_0': 0.4384259581565857, 'redshifts/mse_bin_1': 0.3612533211708069, 'redshifts/mse_bin_2': 0.2977140247821808, 'redshifts/mse_bin_3': 0.22421064972877502, 'redshifts/mse_bin_4': 0.23407866060733795, 'redshifts/mse_bin_5': 0.07551310211420059, 'redshifts/nmad': 0.11283707618713379, 'redshifts/nmad_bin_0': 0.21224045753479004, 'redshifts/nmad_bin_1': 0.13400962948799133, 'redshifts/nmad_bin_2': 0.08815841376781464, 'redshifts/nmad_bin_3': 0.07204470783472061, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.03533338010311127, 'redshifts/outlier_fraction': 0.3271632492542267, 'redshifts/outlier_fraction_bin_0': 0.4891006052494049, 'redshifts/outlier_fraction_bin_1': 0.35550227761268616, 'redshifts/outlier_fraction_bin_2': 0.2585052251815796, 'redshifts/outlier_fraction_bin_3': 0.2018129825592041, 'redshifts/outlier_fraction_bin_4': 0.19032514095306396, 'redshifts/outlier_fraction_bin_5': 0.09388981759548187, 'redshifts/outlier_fraction_cata': 0.08878447860479355, 'redshifts/outlier_fraction_cata_bin_0': 0.1323496699333191, 'redshifts/outlier_fraction_cata_bin_1': 0.09789273887872696, 'redshifts/outlier_fraction_cata_bin_2': 0.07969461381435394, 'redshifts/outlier_fraction_cata_bin_3': 0.05844465643167496, 'redshifts/outlier_fraction_cata_bin_4': 0.05987311527132988, 'redshifts/outlier_fraction_cata_bin_5': 0.017295492812991142}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1182/1563 [1:52:41<42:02, 6.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([74151.])\n", + "total num of pts: tensor([26998., 17956., 7474., 4199., 2524., 15000.])\n", + "{'redshifts/bias_abs': 0.07623326778411865, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004609274212270975, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.0024975943379104137, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00012440372665878385, 'redshifts/mse': 0.3129746615886688, 'redshifts/mse_bin_0': 0.4384098947048187, 'redshifts/mse_bin_1': 0.36125800013542175, 'redshifts/mse_bin_2': 0.297427237033844, 'redshifts/mse_bin_3': 0.22388985753059387, 'redshifts/mse_bin_4': 0.23390531539916992, 'redshifts/mse_bin_5': 0.07539597153663635, 'redshifts/nmad': 0.11281973868608475, 'redshifts/nmad_bin_0': 0.21227656304836273, 'redshifts/nmad_bin_1': 0.13403838872909546, 'redshifts/nmad_bin_2': 0.08822499215602875, 'redshifts/nmad_bin_3': 0.07210533320903778, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.03531433641910553, 'redshifts/outlier_fraction': 0.32710281014442444, 'redshifts/outlier_fraction_bin_0': 0.4891473352909088, 'redshifts/outlier_fraction_bin_1': 0.35564714670181274, 'redshifts/outlier_fraction_bin_2': 0.2583623230457306, 'redshifts/outlier_fraction_bin_3': 0.2014765441417694, 'redshifts/outlier_fraction_bin_4': 0.19017432630062103, 'redshifts/outlier_fraction_bin_5': 0.09373333305120468, 'redshifts/outlier_fraction_cata': 0.0887378454208374, 'redshifts/outlier_fraction_cata_bin_0': 0.13230609893798828, 'redshifts/outlier_fraction_cata_bin_1': 0.09790599346160889, 'redshifts/outlier_fraction_cata_bin_2': 0.07960931211709976, 'redshifts/outlier_fraction_cata_bin_3': 0.058347225189208984, 'redshifts/outlier_fraction_cata_bin_4': 0.05982567369937897, 'redshifts/outlier_fraction_cata_bin_5': 0.017266666516661644}\n", + "total num of pts: tensor([74207.])\n", + "total num of pts: tensor([27011., 17976., 7481., 4203., 2525., 15011.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1183/1563 [1:52:45<38:09, 6.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07622449845075607, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004609942436218262, 'redshifts/bias_bin_0': 0.02939409762620926, 'redshifts/bias_bin_1': 0.01081590261310339, 'redshifts/bias_bin_2': -0.0024975943379104137, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.31289681792259216, 'redshifts/mse_bin_0': 0.43844059109687805, 'redshifts/mse_bin_1': 0.3610740303993225, 'redshifts/mse_bin_2': 0.2971707284450531, 'redshifts/mse_bin_3': 0.22369898855686188, 'redshifts/mse_bin_4': 0.23384062945842743, 'redshifts/mse_bin_5': 0.07540564984083176, 'redshifts/nmad': 0.11280031502246857, 'redshifts/nmad_bin_0': 0.21228119730949402, 'redshifts/nmad_bin_1': 0.1340479701757431, 'redshifts/nmad_bin_2': 0.08822499215602875, 'redshifts/nmad_bin_3': 0.07210533320903778, 'redshifts/nmad_bin_4': 0.06420256942510605, 'redshifts/nmad_bin_5': 0.0353083610534668, 'redshifts/outlier_fraction': 0.3270985186100006, 'redshifts/outlier_fraction_bin_0': 0.4892081022262573, 'redshifts/outlier_fraction_bin_1': 0.35564085841178894, 'redshifts/outlier_fraction_bin_2': 0.2582542300224304, 'redshifts/outlier_fraction_bin_3': 0.20128479599952698, 'redshifts/outlier_fraction_bin_4': 0.19009901583194733, 'redshifts/outlier_fraction_bin_5': 0.09379788488149643, 'redshifts/outlier_fraction_cata': 0.08869782835245132, 'redshifts/outlier_fraction_cata_bin_0': 0.1323164701461792, 'redshifts/outlier_fraction_cata_bin_1': 0.09779706597328186, 'redshifts/outlier_fraction_cata_bin_2': 0.07953482121229172, 'redshifts/outlier_fraction_cata_bin_3': 0.05829169601202011, 'redshifts/outlier_fraction_cata_bin_4': 0.05980198085308075, 'redshifts/outlier_fraction_cata_bin_5': 0.017254013568162918}\n", + "total num of pts: tensor([74270.])\n", + "total num of pts: tensor([27040., 17985., 7488., 4205., 2526., 15026.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1184/1563 [1:52:50<34:55, 5.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07619326561689377, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09101998805999756, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.0046013593673706055, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.0025786571204662323, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.313005268573761, 'redshifts/mse_bin_0': 0.43877437710762024, 'redshifts/mse_bin_1': 0.36115995049476624, 'redshifts/mse_bin_2': 0.296967476606369, 'redshifts/mse_bin_3': 0.22373203933238983, 'redshifts/mse_bin_4': 0.233748659491539, 'redshifts/mse_bin_5': 0.07533618807792664, 'redshifts/nmad': 0.11276844888925552, 'redshifts/nmad_bin_0': 0.2122049331665039, 'redshifts/nmad_bin_1': 0.13407890498638153, 'redshifts/nmad_bin_2': 0.08810481429100037, 'redshifts/nmad_bin_3': 0.07210533320903778, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.03531834855675697, 'redshifts/outlier_fraction': 0.3270903527736664, 'redshifts/outlier_fraction_bin_0': 0.48916420340538025, 'redshifts/outlier_fraction_bin_1': 0.355685293674469, 'redshifts/outlier_fraction_bin_2': 0.25814637541770935, 'redshifts/outlier_fraction_bin_3': 0.20142687857151031, 'redshifts/outlier_fraction_bin_4': 0.1900237500667572, 'redshifts/outlier_fraction_bin_5': 0.09377079457044601, 'redshifts/outlier_fraction_cata': 0.08874377608299255, 'redshifts/outlier_fraction_cata_bin_0': 0.13247041404247284, 'redshifts/outlier_fraction_cata_bin_1': 0.09780372679233551, 'redshifts/outlier_fraction_cata_bin_2': 0.07946047186851501, 'redshifts/outlier_fraction_cata_bin_3': 0.05826397240161896, 'redshifts/outlier_fraction_cata_bin_4': 0.059778306633234024, 'redshifts/outlier_fraction_cata_bin_5': 0.01723678968846798}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1185/1563 [1:52:55<34:20, 5.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([74334.])\n", + "total num of pts: tensor([27062., 17995., 7496., 4210., 2529., 15042.])\n", + "{'redshifts/bias_abs': 0.07618112117052078, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004597276449203491, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010818786919116974, 'redshifts/bias_bin_2': -0.0025645128916949034, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00012440372665878385, 'redshifts/mse': 0.31292545795440674, 'redshifts/mse_bin_0': 0.43872538208961487, 'redshifts/mse_bin_1': 0.3610462546348572, 'redshifts/mse_bin_2': 0.29694464802742004, 'redshifts/mse_bin_3': 0.22384579479694366, 'redshifts/mse_bin_4': 0.23349332809448242, 'redshifts/mse_bin_5': 0.0752793475985527, 'redshifts/nmad': 0.11275757849216461, 'redshifts/nmad_bin_0': 0.21222548186779022, 'redshifts/nmad_bin_1': 0.1340448558330536, 'redshifts/nmad_bin_2': 0.0881476178765297, 'redshifts/nmad_bin_3': 0.07213090360164642, 'redshifts/nmad_bin_4': 0.06425046920776367, 'redshifts/nmad_bin_5': 0.035313092172145844, 'redshifts/outlier_fraction': 0.3270643353462219, 'redshifts/outlier_fraction_bin_0': 0.48920994997024536, 'redshifts/outlier_fraction_bin_1': 0.3555987775325775, 'redshifts/outlier_fraction_bin_2': 0.25813767313957214, 'redshifts/outlier_fraction_bin_3': 0.20166270434856415, 'redshifts/outlier_fraction_bin_4': 0.18979834020137787, 'redshifts/outlier_fraction_bin_5': 0.09373753517866135, 'redshifts/outlier_fraction_cata': 0.08872117847204208, 'redshifts/outlier_fraction_cata_bin_0': 0.1324366331100464, 'redshifts/outlier_fraction_cata_bin_1': 0.09774937480688095, 'redshifts/outlier_fraction_cata_bin_2': 0.07950907200574875, 'redshifts/outlier_fraction_cata_bin_3': 0.05843230336904526, 'redshifts/outlier_fraction_cata_bin_4': 0.0597073957324028, 'redshifts/outlier_fraction_cata_bin_5': 0.0172184556722641}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1186/1563 [1:52:59<31:50, 5.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([74406.])\n", + "total num of pts: tensor([27084., 18011., 7501., 4213., 2533., 15064.])\n", + "{'redshifts/bias_abs': 0.07616924494504929, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.05941656976938248, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023883743211627007, 'redshifts/bias': 0.004599683918058872, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.0024975943379104137, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.0001227297616424039, 'redshifts/mse': 0.3128369450569153, 'redshifts/mse_bin_0': 0.43862128257751465, 'redshifts/mse_bin_1': 0.3611893355846405, 'redshifts/mse_bin_2': 0.296750545501709, 'redshifts/mse_bin_3': 0.22369007766246796, 'redshifts/mse_bin_4': 0.2331448793411255, 'redshifts/mse_bin_5': 0.07521350681781769, 'redshifts/nmad': 0.11274127662181854, 'redshifts/nmad_bin_0': 0.2122025042772293, 'redshifts/nmad_bin_1': 0.1340751349925995, 'redshifts/nmad_bin_2': 0.08811254799365997, 'redshifts/nmad_bin_3': 0.07213090360164642, 'redshifts/nmad_bin_4': 0.06425046920776367, 'redshifts/nmad_bin_5': 0.03533338010311127, 'redshifts/outlier_fraction': 0.3269628882408142, 'redshifts/outlier_fraction_bin_0': 0.48910796642303467, 'redshifts/outlier_fraction_bin_1': 0.3556160032749176, 'redshifts/outlier_fraction_bin_2': 0.2579655945301056, 'redshifts/outlier_fraction_bin_3': 0.20151910185813904, 'redshifts/outlier_fraction_bin_4': 0.18949861824512482, 'redshifts/outlier_fraction_bin_5': 0.09373340755701065, 'redshifts/outlier_fraction_cata': 0.08870252221822739, 'redshifts/outlier_fraction_cata_bin_0': 0.13240289688110352, 'redshifts/outlier_fraction_cata_bin_1': 0.09782910346984863, 'redshifts/outlier_fraction_cata_bin_2': 0.07945607602596283, 'redshifts/outlier_fraction_cata_bin_3': 0.058390695601701736, 'redshifts/outlier_fraction_cata_bin_4': 0.05961310863494873, 'redshifts/outlier_fraction_cata_bin_5': 0.017193308100104332}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1187/1563 [1:53:04<31:11, 4.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([74477.])\n", + "total num of pts: tensor([27109., 18028., 7508., 4216., 2536., 15080.])\n", + "{'redshifts/bias_abs': 0.07613422721624374, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05937325209379196, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023880012333393097, 'redshifts/bias': 0.004607679322361946, 'redshifts/bias_bin_0': 0.029366187751293182, 'redshifts/bias_bin_1': 0.01079871691763401, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00012440372665878385, 'redshifts/mse': 0.3127770721912384, 'redshifts/mse_bin_0': 0.43845152854919434, 'redshifts/mse_bin_1': 0.361393541097641, 'redshifts/mse_bin_2': 0.2965104579925537, 'redshifts/mse_bin_3': 0.22359482944011688, 'redshifts/mse_bin_4': 0.23287241160869598, 'redshifts/mse_bin_5': 0.07520098984241486, 'redshifts/nmad': 0.11268240213394165, 'redshifts/nmad_bin_0': 0.2121276557445526, 'redshifts/nmad_bin_1': 0.13400693237781525, 'redshifts/nmad_bin_2': 0.08807247132062912, 'redshifts/nmad_bin_3': 0.07210677117109299, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.03532642126083374, 'redshifts/outlier_fraction': 0.32687944173812866, 'redshifts/outlier_fraction_bin_0': 0.48895201086997986, 'redshifts/outlier_fraction_bin_1': 0.35555800795555115, 'redshifts/outlier_fraction_bin_2': 0.2578582763671875, 'redshifts/outlier_fraction_bin_3': 0.2016129046678543, 'redshifts/outlier_fraction_bin_4': 0.18927444517612457, 'redshifts/outlier_fraction_bin_5': 0.09376657754182816, 'redshifts/outlier_fraction_cata': 0.08867166936397552, 'redshifts/outlier_fraction_cata_bin_0': 0.13235457241535187, 'redshifts/outlier_fraction_cata_bin_1': 0.09784778952598572, 'redshifts/outlier_fraction_cata_bin_2': 0.07938199490308762, 'redshifts/outlier_fraction_cata_bin_3': 0.05834914743900299, 'redshifts/outlier_fraction_cata_bin_4': 0.05954258516430855, 'redshifts/outlier_fraction_cata_bin_5': 0.017175067216157913}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1188/1563 [1:53:08<29:25, 4.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([74555.])\n", + "total num of pts: tensor([27131., 18039., 7521., 4224., 2540., 15100.])\n", + "{'redshifts/bias_abs': 0.07611838728189468, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04821769520640373, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02388758398592472, 'redshifts/bias': 0.004599683918058872, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01081590261310339, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.0001227297616424039, 'redshifts/mse': 0.3126643896102905, 'redshifts/mse_bin_0': 0.4383092224597931, 'redshifts/mse_bin_1': 0.36151769757270813, 'redshifts/mse_bin_2': 0.29607176780700684, 'redshifts/mse_bin_3': 0.22387275099754333, 'redshifts/mse_bin_4': 0.23259027302265167, 'redshifts/mse_bin_5': 0.07511874288320541, 'redshifts/nmad': 0.11265745759010315, 'redshifts/nmad_bin_0': 0.2121582180261612, 'redshifts/nmad_bin_1': 0.13402393460273743, 'redshifts/nmad_bin_2': 0.08816338330507278, 'redshifts/nmad_bin_3': 0.07208376377820969, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.03534626215696335, 'redshifts/outlier_fraction': 0.3268057107925415, 'redshifts/outlier_fraction_bin_0': 0.488924115896225, 'redshifts/outlier_fraction_bin_1': 0.3556183874607086, 'redshifts/outlier_fraction_bin_2': 0.257545530796051, 'redshifts/outlier_fraction_bin_3': 0.20194128155708313, 'redshifts/outlier_fraction_bin_4': 0.1893700808286667, 'redshifts/outlier_fraction_bin_5': 0.09364238381385803, 'redshifts/outlier_fraction_cata': 0.08864596486091614, 'redshifts/outlier_fraction_cata_bin_0': 0.13232095539569855, 'redshifts/outlier_fraction_cata_bin_1': 0.09784355759620667, 'redshifts/outlier_fraction_cata_bin_2': 0.07924477756023407, 'redshifts/outlier_fraction_cata_bin_3': 0.05871212109923363, 'redshifts/outlier_fraction_cata_bin_4': 0.05944881960749626, 'redshifts/outlier_fraction_cata_bin_5': 0.017152318730950356}\n", + "total num of pts: tensor([74631.])\n", + "total num of pts: tensor([27155., 18058., 7525., 4230., 2545., 15118.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1189/1563 [1:53:13<29:42, 4.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07609546929597855, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09093759208917618, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023873601108789444, 'redshifts/bias': 0.004616110119968653, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00012919306755065918, 'redshifts/mse': 0.312629371881485, 'redshifts/mse_bin_0': 0.43832671642303467, 'redshifts/mse_bin_1': 0.3615037202835083, 'redshifts/mse_bin_2': 0.2959557771682739, 'redshifts/mse_bin_3': 0.22425144910812378, 'redshifts/mse_bin_4': 0.23217658698558807, 'redshifts/mse_bin_5': 0.07504092901945114, 'redshifts/nmad': 0.11260485649108887, 'redshifts/nmad_bin_0': 0.2121649533510208, 'redshifts/nmad_bin_1': 0.13402169942855835, 'redshifts/nmad_bin_2': 0.08820099383592606, 'redshifts/nmad_bin_3': 0.07213090360164642, 'redshifts/nmad_bin_4': 0.06404517590999603, 'redshifts/nmad_bin_5': 0.03531932085752487, 'redshifts/outlier_fraction': 0.3268078863620758, 'redshifts/outlier_fraction_bin_0': 0.4890443682670593, 'redshifts/outlier_fraction_bin_1': 0.3555764853954315, 'redshifts/outlier_fraction_bin_2': 0.2575415372848511, 'redshifts/outlier_fraction_bin_3': 0.20189125835895538, 'redshifts/outlier_fraction_bin_4': 0.1889980286359787, 'redshifts/outlier_fraction_bin_5': 0.09366318583488464, 'redshifts/outlier_fraction_cata': 0.08864948898553848, 'redshifts/outlier_fraction_cata_bin_0': 0.1323513239622116, 'redshifts/outlier_fraction_cata_bin_1': 0.09785136580467224, 'redshifts/outlier_fraction_cata_bin_2': 0.07920265942811966, 'redshifts/outlier_fraction_cata_bin_3': 0.058865249156951904, 'redshifts/outlier_fraction_cata_bin_4': 0.059332024306058884, 'redshifts/outlier_fraction_cata_bin_5': 0.017131894826889038}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1190/1563 [1:53:18<30:45, 4.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([74700.])\n", + "total num of pts: tensor([27171., 18076., 7537., 4234., 2546., 15136.])\n", + "{'redshifts/bias_abs': 0.07605617493391037, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09084222465753555, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004609274212270975, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00012440372665878385, 'redshifts/mse': 0.31253597140312195, 'redshifts/mse_bin_0': 0.43834418058395386, 'redshifts/mse_bin_1': 0.3612001836299896, 'redshifts/mse_bin_2': 0.29552170634269714, 'redshifts/mse_bin_3': 0.22405007481575012, 'redshifts/mse_bin_4': 0.2343127727508545, 'redshifts/mse_bin_5': 0.07495766878128052, 'redshifts/nmad': 0.1125679463148117, 'redshifts/nmad_bin_0': 0.21216844022274017, 'redshifts/nmad_bin_1': 0.13399192690849304, 'redshifts/nmad_bin_2': 0.08820883184671402, 'redshifts/nmad_bin_3': 0.07210677117109299, 'redshifts/nmad_bin_4': 0.06405362486839294, 'redshifts/nmad_bin_5': 0.03531433641910553, 'redshifts/outlier_fraction': 0.3266666531562805, 'redshifts/outlier_fraction_bin_0': 0.48905083537101746, 'redshifts/outlier_fraction_bin_1': 0.35533303022384644, 'redshifts/outlier_fraction_bin_2': 0.2571314871311188, 'redshifts/outlier_fraction_bin_3': 0.20170052349567413, 'redshifts/outlier_fraction_bin_4': 0.18931657075881958, 'redshifts/outlier_fraction_bin_5': 0.09361786395311356, 'redshifts/outlier_fraction_cata': 0.08860776573419571, 'redshifts/outlier_fraction_cata_bin_0': 0.1323469877243042, 'redshifts/outlier_fraction_cata_bin_1': 0.09775392711162567, 'redshifts/outlier_fraction_cata_bin_2': 0.07907655835151672, 'redshifts/outlier_fraction_cata_bin_3': 0.058809638023376465, 'redshifts/outlier_fraction_cata_bin_4': 0.05970149114727974, 'redshifts/outlier_fraction_cata_bin_5': 0.0171115230768919}\n", + "total num of pts: tensor([74764.])\n", + "total num of pts: tensor([27194., 18092., 7545., 4238., 2547., 15148.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▌ | 1191/1563 [1:53:23<30:43, 4.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07604334503412247, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04821769520640373, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023838430643081665, 'redshifts/bias': 0.004609942436218262, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.010870014317333698, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.31250283122062683, 'redshifts/mse_bin_0': 0.4384172260761261, 'redshifts/mse_bin_1': 0.36109116673469543, 'redshifts/mse_bin_2': 0.29541295766830444, 'redshifts/mse_bin_3': 0.2238570749759674, 'redshifts/mse_bin_4': 0.23422250151634216, 'redshifts/mse_bin_5': 0.07489968091249466, 'redshifts/nmad': 0.11256695538759232, 'redshifts/nmad_bin_0': 0.2121649533510208, 'redshifts/nmad_bin_1': 0.1340286135673523, 'redshifts/nmad_bin_2': 0.08820883184671402, 'redshifts/nmad_bin_3': 0.07208376377820969, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.035309407860040665, 'redshifts/outlier_fraction': 0.3266812860965729, 'redshifts/outlier_fraction_bin_0': 0.48907846212387085, 'redshifts/outlier_fraction_bin_1': 0.3554609715938568, 'redshifts/outlier_fraction_bin_2': 0.2569913864135742, 'redshifts/outlier_fraction_bin_3': 0.2017461061477661, 'redshifts/outlier_fraction_bin_4': 0.18924224376678467, 'redshifts/outlier_fraction_bin_5': 0.09354370087385178, 'redshifts/outlier_fraction_cata': 0.08861216902732849, 'redshifts/outlier_fraction_cata_bin_0': 0.13238213956356049, 'redshifts/outlier_fraction_cata_bin_1': 0.09772275388240814, 'redshifts/outlier_fraction_cata_bin_2': 0.07912524789571762, 'redshifts/outlier_fraction_cata_bin_3': 0.058754127472639084, 'redshifts/outlier_fraction_cata_bin_4': 0.05967805162072182, 'redshifts/outlier_fraction_cata_bin_5': 0.017097966745495796}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▋ | 1192/1563 [1:53:28<29:52, 4.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([74840.])\n", + "total num of pts: tensor([27212., 18113., 7553., 4243., 2551., 15168.])\n", + "{'redshifts/bias_abs': 0.07605617493391037, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09102486819028854, 'redshifts/bias_abs_bin_2': 0.05941656976938248, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023858921602368355, 'redshifts/bias': 0.004609942436218262, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.010854488238692284, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00010164400737266988, 'redshifts/mse': 0.31239062547683716, 'redshifts/mse_bin_0': 0.43824997544288635, 'redshifts/mse_bin_1': 0.3612259328365326, 'redshifts/mse_bin_2': 0.29529163241386414, 'redshifts/mse_bin_3': 0.22362850606441498, 'redshifts/mse_bin_4': 0.23387004435062408, 'redshifts/mse_bin_5': 0.07482456415891647, 'redshifts/nmad': 0.11256756633520126, 'redshifts/nmad_bin_0': 0.21216171979904175, 'redshifts/nmad_bin_1': 0.1340811401605606, 'redshifts/nmad_bin_2': 0.08820278942584991, 'redshifts/nmad_bin_3': 0.07213090360164642, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.03531832993030548, 'redshifts/outlier_fraction': 0.32668358087539673, 'redshifts/outlier_fraction_bin_0': 0.4891224503517151, 'redshifts/outlier_fraction_bin_1': 0.3556009531021118, 'redshifts/outlier_fraction_bin_2': 0.2571163773536682, 'redshifts/outlier_fraction_bin_3': 0.20150837302207947, 'redshifts/outlier_fraction_bin_4': 0.18894551694393158, 'redshifts/outlier_fraction_bin_5': 0.09355221688747406, 'redshifts/outlier_fraction_cata': 0.08857563138008118, 'redshifts/outlier_fraction_cata_bin_0': 0.13229458034038544, 'redshifts/outlier_fraction_cata_bin_1': 0.09783028811216354, 'redshifts/outlier_fraction_cata_bin_2': 0.07904144376516342, 'redshifts/outlier_fraction_cata_bin_3': 0.05868489295244217, 'redshifts/outlier_fraction_cata_bin_4': 0.05958447605371475, 'redshifts/outlier_fraction_cata_bin_5': 0.017075421288609505}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▋ | 1193/1563 [1:53:33<31:11, 5.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([74895.])\n", + "total num of pts: tensor([27231., 18124., 7562., 4247., 2551., 15180.])\n", + "{'redshifts/bias_abs': 0.07604334503412247, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05941656976938248, 'redshifts/bias_abs_bin_3': 0.048305999487638474, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004610838368535042, 'redshifts/bias_bin_0': 0.029345832765102386, 'redshifts/bias_bin_1': 0.01082315482199192, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.31228575110435486, 'redshifts/mse_bin_0': 0.43817853927612305, 'redshifts/mse_bin_1': 0.36105549335479736, 'redshifts/mse_bin_2': 0.2950890064239502, 'redshifts/mse_bin_3': 0.22344037890434265, 'redshifts/mse_bin_4': 0.23387004435062408, 'redshifts/mse_bin_5': 0.07482065260410309, 'redshifts/nmad': 0.11256562918424606, 'redshifts/nmad_bin_0': 0.21215783059597015, 'redshifts/nmad_bin_1': 0.13403469324111938, 'redshifts/nmad_bin_2': 0.08822423219680786, 'redshifts/nmad_bin_3': 0.07213090360164642, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.03532392159104347, 'redshifts/outlier_fraction': 0.3266306221485138, 'redshifts/outlier_fraction_bin_0': 0.48903822898864746, 'redshifts/outlier_fraction_bin_1': 0.35549548268318176, 'redshifts/outlier_fraction_bin_2': 0.25720709562301636, 'redshifts/outlier_fraction_bin_3': 0.20131857693195343, 'redshifts/outlier_fraction_bin_4': 0.18894551694393158, 'redshifts/outlier_fraction_bin_5': 0.0936100110411644, 'redshifts/outlier_fraction_cata': 0.08853728324174881, 'redshifts/outlier_fraction_cata_bin_0': 0.13227571547031403, 'redshifts/outlier_fraction_cata_bin_1': 0.09777091443538666, 'redshifts/outlier_fraction_cata_bin_2': 0.07894736528396606, 'redshifts/outlier_fraction_cata_bin_3': 0.05862962082028389, 'redshifts/outlier_fraction_cata_bin_4': 0.05958447605371475, 'redshifts/outlier_fraction_cata_bin_5': 0.017061922699213028}\n", + "total num of pts: tensor([74978.])\n", + "total num of pts: tensor([27263., 18148., 7572., 4253., 2552., 15190.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▋ | 1194/1563 [1:53:40<32:59, 5.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05941656976938248, 'redshifts/bias_abs_bin_3': 0.04830821976065636, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.00459503335878253, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.01079730223864317, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 7.918477058410645e-05, 'redshifts/mse': 0.3123317062854767, 'redshifts/mse_bin_0': 0.4380286931991577, 'redshifts/mse_bin_1': 0.3610084056854248, 'redshifts/mse_bin_2': 0.2956777513027191, 'redshifts/mse_bin_3': 0.2232065349817276, 'redshifts/mse_bin_4': 0.2350490689277649, 'redshifts/mse_bin_5': 0.07481199502944946, 'redshifts/nmad': 0.11254546046257019, 'redshifts/nmad_bin_0': 0.21207134425640106, 'redshifts/nmad_bin_1': 0.13400132954120636, 'redshifts/nmad_bin_2': 0.08824322372674942, 'redshifts/nmad_bin_3': 0.07231944054365158, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.03534099832177162, 'redshifts/outlier_fraction': 0.3266024589538574, 'redshifts/outlier_fraction_bin_0': 0.48886770009994507, 'redshifts/outlier_fraction_bin_1': 0.35546615719795227, 'redshifts/outlier_fraction_bin_2': 0.25713154673576355, 'redshifts/outlier_fraction_bin_3': 0.20150482654571533, 'redshifts/outlier_fraction_bin_4': 0.18926332890987396, 'redshifts/outlier_fraction_bin_5': 0.09361422061920166, 'redshifts/outlier_fraction_cata': 0.08850596100091934, 'redshifts/outlier_fraction_cata_bin_0': 0.13219381868839264, 'redshifts/outlier_fraction_cata_bin_1': 0.0976967141032219, 'redshifts/outlier_fraction_cata_bin_2': 0.07897517085075378, 'redshifts/outlier_fraction_cata_bin_3': 0.05854690819978714, 'redshifts/outlier_fraction_cata_bin_4': 0.059952978044748306, 'redshifts/outlier_fraction_cata_bin_5': 0.017050690948963165}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 76%|███████▋ | 1195/1563 [1:53:45<32:09, 5.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([75061.])\n", + "total num of pts: tensor([27286., 18164., 7584., 4255., 2559., 15213.])\n", + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05941656976938248, 'redshifts/bias_abs_bin_3': 0.04830821976065636, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023864567279815674, 'redshifts/bias': 0.004597276449203491, 'redshifts/bias_bin_0': 0.029310746118426323, 'redshifts/bias_bin_1': 0.010792608372867107, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.31224325299263, 'redshifts/mse_bin_0': 0.4378647208213806, 'redshifts/mse_bin_1': 0.36114776134490967, 'redshifts/mse_bin_2': 0.29573971033096313, 'redshifts/mse_bin_3': 0.22312118113040924, 'redshifts/mse_bin_4': 0.2346702367067337, 'redshifts/mse_bin_5': 0.07473834604024887, 'redshifts/nmad': 0.11254388093948364, 'redshifts/nmad_bin_0': 0.21204181015491486, 'redshifts/nmad_bin_1': 0.1340082883834839, 'redshifts/nmad_bin_2': 0.08822409063577652, 'redshifts/nmad_bin_3': 0.07231944054365158, 'redshifts/nmad_bin_4': 0.06425046920776367, 'redshifts/nmad_bin_5': 0.03532392159104347, 'redshifts/outlier_fraction': 0.3265610635280609, 'redshifts/outlier_fraction_bin_0': 0.48885875940322876, 'redshifts/outlier_fraction_bin_1': 0.35548338294029236, 'redshifts/outlier_fraction_bin_2': 0.2571202516555786, 'redshifts/outlier_fraction_bin_3': 0.20141009986400604, 'redshifts/outlier_fraction_bin_4': 0.18952715396881104, 'redshifts/outlier_fraction_bin_5': 0.09360415488481522, 'redshifts/outlier_fraction_cata': 0.08848802745342255, 'redshifts/outlier_fraction_cata_bin_0': 0.13211902976036072, 'redshifts/outlier_fraction_cata_bin_1': 0.09777581691741943, 'redshifts/outlier_fraction_cata_bin_2': 0.0791139230132103, 'redshifts/outlier_fraction_cata_bin_3': 0.0585193894803524, 'redshifts/outlier_fraction_cata_bin_4': 0.05978897958993912, 'redshifts/outlier_fraction_cata_bin_5': 0.017024913802742958}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1196/1563 [1:53:49<30:03, 4.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([75115.])\n", + "total num of pts: tensor([27298., 18183., 7593., 4257., 2560., 15224.])\n", + "{'redshifts/bias_abs': 0.07603517919778824, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.048305999487638474, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023838430643081665, 'redshifts/bias': 0.004596507642418146, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010794099420309067, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.3122386932373047, 'redshifts/mse_bin_0': 0.4380669593811035, 'redshifts/mse_bin_1': 0.3610303997993469, 'redshifts/mse_bin_2': 0.29543536901474, 'redshifts/mse_bin_3': 0.22301852703094482, 'redshifts/mse_bin_4': 0.23482351005077362, 'redshifts/mse_bin_5': 0.07468616962432861, 'redshifts/nmad': 0.1125401109457016, 'redshifts/nmad_bin_0': 0.2120991200208664, 'redshifts/nmad_bin_1': 0.13401377201080322, 'redshifts/nmad_bin_2': 0.08828774094581604, 'redshifts/nmad_bin_3': 0.07231944054365158, 'redshifts/nmad_bin_4': 0.06420256942510605, 'redshifts/nmad_bin_5': 0.035309407860040665, 'redshifts/outlier_fraction': 0.3265393078327179, 'redshifts/outlier_fraction_bin_0': 0.48897355794906616, 'redshifts/outlier_fraction_bin_1': 0.3553869128227234, 'redshifts/outlier_fraction_bin_2': 0.25694718956947327, 'redshifts/outlier_fraction_bin_3': 0.2013154774904251, 'redshifts/outlier_fraction_bin_4': 0.18984374403953552, 'redshifts/outlier_fraction_bin_5': 0.09353651851415634, 'redshifts/outlier_fraction_cata': 0.08849097788333893, 'redshifts/outlier_fraction_cata_bin_0': 0.13217085599899292, 'redshifts/outlier_fraction_cata_bin_1': 0.0977836474776268, 'redshifts/outlier_fraction_cata_bin_2': 0.07902015000581741, 'redshifts/outlier_fraction_cata_bin_3': 0.05849189683794975, 'redshifts/outlier_fraction_cata_bin_4': 0.05976562574505806, 'redshifts/outlier_fraction_cata_bin_5': 0.017012611031532288}\n", + "total num of pts: tensor([75180.])\n", + "total num of pts: tensor([27325., 18199., 7598., 4262., 2564., 15232.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1197/1563 [1:53:54<30:28, 5.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07604212313890457, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09101997315883636, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023838430643081665, 'redshifts/bias': 0.004590228665620089, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010792608372867107, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.0001227297616424039, 'redshifts/mse': 0.3122328817844391, 'redshifts/mse_bin_0': 0.4378647208213806, 'redshifts/mse_bin_1': 0.3613334000110626, 'redshifts/mse_bin_2': 0.2954103946685791, 'redshifts/mse_bin_3': 0.22295214235782623, 'redshifts/mse_bin_4': 0.23450054228305817, 'redshifts/mse_bin_5': 0.07464934885501862, 'redshifts/nmad': 0.11253833770751953, 'redshifts/nmad_bin_0': 0.2121267467737198, 'redshifts/nmad_bin_1': 0.13401342928409576, 'redshifts/nmad_bin_2': 0.08829108625650406, 'redshifts/nmad_bin_3': 0.07209756970405579, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.035297803580760956, 'redshifts/outlier_fraction': 0.32656291127204895, 'redshifts/outlier_fraction_bin_0': 0.4889661371707916, 'redshifts/outlier_fraction_bin_1': 0.3554590940475464, 'redshifts/outlier_fraction_bin_2': 0.257041335105896, 'redshifts/outlier_fraction_bin_3': 0.20131394267082214, 'redshifts/outlier_fraction_bin_4': 0.1895475834608078, 'redshifts/outlier_fraction_bin_5': 0.09348739683628082, 'redshifts/outlier_fraction_cata': 0.08846767991781235, 'redshifts/outlier_fraction_cata_bin_0': 0.13207685947418213, 'redshifts/outlier_fraction_cata_bin_1': 0.09786251932382584, 'redshifts/outlier_fraction_cata_bin_2': 0.07896815240383148, 'redshifts/outlier_fraction_cata_bin_3': 0.058423276990652084, 'redshifts/outlier_fraction_cata_bin_4': 0.059672385454177856, 'redshifts/outlier_fraction_cata_bin_5': 0.017003675922751427}\n", + "total num of pts: tensor([75257.])\n", + "total num of pts: tensor([27346., 18221., 7607., 4273., 2566., 15244.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1198/1563 [1:53:59<31:08, 5.12s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07601728290319443, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.048269983381032944, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.0045923772267997265, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010794099420309067, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.0001227297616424039, 'redshifts/mse': 0.3121582865715027, 'redshifts/mse_bin_0': 0.4379195272922516, 'redshifts/mse_bin_1': 0.36122894287109375, 'redshifts/mse_bin_2': 0.2951788902282715, 'redshifts/mse_bin_3': 0.22241029143333435, 'redshifts/mse_bin_4': 0.23433634638786316, 'redshifts/mse_bin_5': 0.07463039457798004, 'redshifts/nmad': 0.11250097304582596, 'redshifts/nmad_bin_0': 0.2120750993490219, 'redshifts/nmad_bin_1': 0.1339321732521057, 'redshifts/nmad_bin_2': 0.08829603344202042, 'redshifts/nmad_bin_3': 0.07208520174026489, 'redshifts/nmad_bin_4': 0.06420256942510605, 'redshifts/nmad_bin_5': 0.03528808429837227, 'redshifts/outlier_fraction': 0.32648125290870667, 'redshifts/outlier_fraction_bin_0': 0.48891976475715637, 'redshifts/outlier_fraction_bin_1': 0.3553043305873871, 'redshifts/outlier_fraction_bin_2': 0.25713157653808594, 'redshifts/outlier_fraction_bin_3': 0.20079569518566132, 'redshifts/outlier_fraction_bin_4': 0.1893998384475708, 'redshifts/outlier_fraction_bin_5': 0.09354500472545624, 'redshifts/outlier_fraction_cata': 0.08843031525611877, 'redshifts/outlier_fraction_cata_bin_0': 0.13208512961864471, 'redshifts/outlier_fraction_cata_bin_1': 0.09779924154281616, 'redshifts/outlier_fraction_cata_bin_2': 0.07887472212314606, 'redshifts/outlier_fraction_cata_bin_3': 0.05827287584543228, 'redshifts/outlier_fraction_cata_bin_4': 0.05962587520480156, 'redshifts/outlier_fraction_cata_bin_5': 0.016990290954709053}\n", + "total num of pts: tensor([75322.])\n", + "total num of pts: tensor([27363., 18232., 7616., 4280., 2567., 15264.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1199/1563 [1:54:07<35:03, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07598846405744553, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004585661459714174, 'redshifts/bias_bin_0': 0.02926141396164894, 'redshifts/bias_bin_1': 0.01077791303396225, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.31199654936790466, 'redshifts/mse_bin_0': 0.43789681792259216, 'redshifts/mse_bin_1': 0.36105552315711975, 'redshifts/mse_bin_2': 0.29485297203063965, 'redshifts/mse_bin_3': 0.2220546156167984, 'redshifts/mse_bin_4': 0.23429109156131744, 'redshifts/mse_bin_5': 0.07454223185777664, 'redshifts/nmad': 0.11244890093803406, 'redshifts/nmad_bin_0': 0.21211495995521545, 'redshifts/nmad_bin_1': 0.13390816748142242, 'redshifts/nmad_bin_2': 0.08822423219680786, 'redshifts/nmad_bin_3': 0.07201559096574783, 'redshifts/nmad_bin_4': 0.06428131461143494, 'redshifts/nmad_bin_5': 0.03530066832900047, 'redshifts/outlier_fraction': 0.32638537883758545, 'redshifts/outlier_fraction_bin_0': 0.4889449179172516, 'redshifts/outlier_fraction_bin_1': 0.3551996350288391, 'redshifts/outlier_fraction_bin_2': 0.2569590210914612, 'redshifts/outlier_fraction_bin_3': 0.2004672884941101, 'redshifts/outlier_fraction_bin_4': 0.18971562385559082, 'redshifts/outlier_fraction_bin_5': 0.093487948179245, 'redshifts/outlier_fraction_cata': 0.08838055282831192, 'redshifts/outlier_fraction_cata_bin_0': 0.13207615911960602, 'redshifts/outlier_fraction_cata_bin_1': 0.09774024039506912, 'redshifts/outlier_fraction_cata_bin_2': 0.07878151535987854, 'redshifts/outlier_fraction_cata_bin_3': 0.05817757174372673, 'redshifts/outlier_fraction_cata_bin_4': 0.05960264801979065, 'redshifts/outlier_fraction_cata_bin_5': 0.016968028619885445}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1200/1563 [1:54:11<32:45, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([75373.])\n", + "total num of pts: tensor([27376., 18243., 7622., 4285., 2570., 15277.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.05941656976938248, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004571482073515654, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010738249868154526, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.31187376379966736, 'redshifts/mse_bin_0': 0.4377663731575012, 'redshifts/mse_bin_1': 0.3609549105167389, 'redshifts/mse_bin_2': 0.29481685161590576, 'redshifts/mse_bin_3': 0.22183029353618622, 'redshifts/mse_bin_4': 0.23402470350265503, 'redshifts/mse_bin_5': 0.07452724874019623, 'redshifts/nmad': 0.11239899694919586, 'redshifts/nmad_bin_0': 0.2120750993490219, 'redshifts/nmad_bin_1': 0.1338512897491455, 'redshifts/nmad_bin_2': 0.08820033073425293, 'redshifts/nmad_bin_3': 0.07195518165826797, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.035294365137815475, 'redshifts/outlier_fraction': 0.32631048560142517, 'redshifts/outlier_fraction_bin_0': 0.48889538645744324, 'redshifts/outlier_fraction_bin_1': 0.35514992475509644, 'redshifts/outlier_fraction_bin_2': 0.25688794255256653, 'redshifts/outlier_fraction_bin_3': 0.20046673715114594, 'redshifts/outlier_fraction_bin_4': 0.18949416279792786, 'redshifts/outlier_fraction_bin_5': 0.09347385168075562, 'redshifts/outlier_fraction_cata': 0.08834728598594666, 'redshifts/outlier_fraction_cata_bin_0': 0.1320134401321411, 'redshifts/outlier_fraction_cata_bin_1': 0.09773612022399902, 'redshifts/outlier_fraction_cata_bin_2': 0.07885069400072098, 'redshifts/outlier_fraction_cata_bin_3': 0.05810968577861786, 'redshifts/outlier_fraction_cata_bin_4': 0.059533074498176575, 'redshifts/outlier_fraction_cata_bin_5': 0.016953591257333755}\n", + "total num of pts: tensor([75450.])\n", + "total num of pts: tensor([27397., 18267., 7631., 4288., 2573., 15294.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1201/1563 [1:54:16<31:11, 5.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07594360411167145, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004580764565616846, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.01077791303396225, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.0001227297616424039, 'redshifts/mse': 0.31194040179252625, 'redshifts/mse_bin_0': 0.43792906403541565, 'redshifts/mse_bin_1': 0.36107876896858215, 'redshifts/mse_bin_2': 0.29493090510368347, 'redshifts/mse_bin_3': 0.22168393433094025, 'redshifts/mse_bin_4': 0.23399998247623444, 'redshifts/mse_bin_5': 0.07446172833442688, 'redshifts/nmad': 0.11238446831703186, 'redshifts/nmad_bin_0': 0.21213433146476746, 'redshifts/nmad_bin_1': 0.13389882445335388, 'redshifts/nmad_bin_2': 0.08833318203687668, 'redshifts/nmad_bin_3': 0.0719231590628624, 'redshifts/nmad_bin_4': 0.06425046920776367, 'redshifts/nmad_bin_5': 0.03526073321700096, 'redshifts/outlier_fraction': 0.326322078704834, 'redshifts/outlier_fraction_bin_0': 0.4889221489429474, 'redshifts/outlier_fraction_bin_1': 0.35523074865341187, 'redshifts/outlier_fraction_bin_2': 0.2569781243801117, 'redshifts/outlier_fraction_bin_3': 0.20032648742198944, 'redshifts/outlier_fraction_bin_4': 0.1896618753671646, 'redshifts/outlier_fraction_bin_5': 0.09343533217906952, 'redshifts/outlier_fraction_cata': 0.0883631557226181, 'redshifts/outlier_fraction_cata_bin_0': 0.132058247923851, 'redshifts/outlier_fraction_cata_bin_1': 0.09777193516492844, 'redshifts/outlier_fraction_cata_bin_2': 0.07888874411582947, 'redshifts/outlier_fraction_cata_bin_3': 0.058069031685590744, 'redshifts/outlier_fraction_cata_bin_4': 0.059463661164045334, 'redshifts/outlier_fraction_cata_bin_5': 0.016934745013713837}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1202/1563 [1:54:21<31:15, 5.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([75513.])\n", + "total num of pts: tensor([27417., 18278., 7642., 4292., 2576., 15308.])\n", + "{'redshifts/bias_abs': 0.07595008611679077, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.059506338089704514, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004582141060382128, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.0001227297616424039, 'redshifts/mse': 0.31211063265800476, 'redshifts/mse_bin_0': 0.4378140866756439, 'redshifts/mse_bin_1': 0.3613708019256592, 'redshifts/mse_bin_2': 0.29558736085891724, 'redshifts/mse_bin_3': 0.2233375608921051, 'redshifts/mse_bin_4': 0.23378777503967285, 'redshifts/mse_bin_5': 0.0744713693857193, 'redshifts/nmad': 0.1123969629406929, 'redshifts/nmad_bin_0': 0.21207267045974731, 'redshifts/nmad_bin_1': 0.13381391763687134, 'redshifts/nmad_bin_2': 0.08836177736520767, 'redshifts/nmad_bin_3': 0.0719246044754982, 'redshifts/nmad_bin_4': 0.06425046920776367, 'redshifts/nmad_bin_5': 0.0352720245718956, 'redshifts/outlier_fraction': 0.326327919960022, 'redshifts/outlier_fraction_bin_0': 0.4888937473297119, 'redshifts/outlier_fraction_bin_1': 0.3552358150482178, 'redshifts/outlier_fraction_bin_2': 0.2571316361427307, 'redshifts/outlier_fraction_bin_3': 0.20037278532981873, 'redshifts/outlier_fraction_bin_4': 0.18982918560504913, 'redshifts/outlier_fraction_bin_5': 0.09348053485155106, 'redshifts/outlier_fraction_cata': 0.0883556455373764, 'redshifts/outlier_fraction_cata_bin_0': 0.13199838995933533, 'redshifts/outlier_fraction_cata_bin_1': 0.09782251715660095, 'redshifts/outlier_fraction_cata_bin_2': 0.07890604436397552, 'redshifts/outlier_fraction_cata_bin_3': 0.05824790149927139, 'redshifts/outlier_fraction_cata_bin_4': 0.059394411742687225, 'redshifts/outlier_fraction_cata_bin_5': 0.01691925711929798}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1203/1563 [1:54:26<29:56, 4.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([75573.])\n", + "total num of pts: tensor([27436., 18293., 7650., 4296., 2577., 15321.])\n", + "{'redshifts/bias_abs': 0.07593366503715515, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05949271842837334, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004582469817250967, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010713315568864346, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.3120933175086975, 'redshifts/mse_bin_0': 0.437815397977829, 'redshifts/mse_bin_1': 0.36137455701828003, 'redshifts/mse_bin_2': 0.2954115569591522, 'redshifts/mse_bin_3': 0.22369708120822906, 'redshifts/mse_bin_4': 0.2337237149477005, 'redshifts/mse_bin_5': 0.0744112953543663, 'redshifts/nmad': 0.11234426498413086, 'redshifts/nmad_bin_0': 0.21203750371932983, 'redshifts/nmad_bin_1': 0.13381239771842957, 'redshifts/nmad_bin_2': 0.08833318203687668, 'redshifts/nmad_bin_3': 0.0719231590628624, 'redshifts/nmad_bin_4': 0.06429433077573776, 'redshifts/nmad_bin_5': 0.035294365137815475, 'redshifts/outlier_fraction': 0.32625409960746765, 'redshifts/outlier_fraction_bin_0': 0.4888467788696289, 'redshifts/outlier_fraction_bin_1': 0.35516318678855896, 'redshifts/outlier_fraction_bin_2': 0.25699347257614136, 'redshifts/outlier_fraction_bin_3': 0.20041899383068085, 'redshifts/outlier_fraction_bin_4': 0.18975552916526794, 'redshifts/outlier_fraction_bin_5': 0.0934012159705162, 'redshifts/outlier_fraction_cata': 0.08835165947675705, 'redshifts/outlier_fraction_cata_bin_0': 0.13201633095741272, 'redshifts/outlier_fraction_cata_bin_1': 0.0977969691157341, 'redshifts/outlier_fraction_cata_bin_2': 0.0788235291838646, 'redshifts/outlier_fraction_cata_bin_3': 0.05842644348740578, 'redshifts/outlier_fraction_cata_bin_4': 0.05937136337161064, 'redshifts/outlier_fraction_cata_bin_5': 0.01690490171313286}\n", + "total num of pts: tensor([75654.])\n", + "total num of pts: tensor([27454., 18318., 7659., 4298., 2578., 15347.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1204/1563 [1:54:30<28:40, 4.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07588476687669754, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004568666219711304, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010713315568864346, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.31191301345825195, 'redshifts/mse_bin_0': 0.43766894936561584, 'redshifts/mse_bin_1': 0.3611895740032196, 'redshifts/mse_bin_2': 0.29527878761291504, 'redshifts/mse_bin_3': 0.22359459102153778, 'redshifts/mse_bin_4': 0.23364640772342682, 'redshifts/mse_bin_5': 0.07431459426879883, 'redshifts/nmad': 0.11229433119297028, 'redshifts/nmad_bin_0': 0.2119496762752533, 'redshifts/nmad_bin_1': 0.13380151987075806, 'redshifts/nmad_bin_2': 0.08831139653921127, 'redshifts/nmad_bin_3': 0.07187025249004364, 'redshifts/nmad_bin_4': 0.0642726868391037, 'redshifts/nmad_bin_5': 0.03529096022248268, 'redshifts/outlier_fraction': 0.3261294960975647, 'redshifts/outlier_fraction_bin_0': 0.48870837688446045, 'redshifts/outlier_fraction_bin_1': 0.3551151752471924, 'redshifts/outlier_fraction_bin_2': 0.2569526135921478, 'redshifts/outlier_fraction_bin_3': 0.20032572746276855, 'redshifts/outlier_fraction_bin_4': 0.18968191742897034, 'redshifts/outlier_fraction_bin_5': 0.09337329864501953, 'redshifts/outlier_fraction_cata': 0.08829671889543533, 'redshifts/outlier_fraction_cata_bin_0': 0.13196620345115662, 'redshifts/outlier_fraction_cata_bin_1': 0.09771808981895447, 'redshifts/outlier_fraction_cata_bin_2': 0.07886146754026413, 'redshifts/outlier_fraction_cata_bin_3': 0.0583992563188076, 'redshifts/outlier_fraction_cata_bin_4': 0.05934833362698555, 'redshifts/outlier_fraction_cata_bin_5': 0.016876261681318283}\n", + "total num of pts: tensor([75729.])\n", + "total num of pts: tensor([27478., 18337., 7666., 4302., 2581., 15365.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1205/1563 [1:54:34<27:55, 4.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07588476687669754, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004568666219711304, 'redshifts/bias_bin_0': 0.029207874089479446, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 7.882634236011654e-05, 'redshifts/mse': 0.31187716126441956, 'redshifts/mse_bin_0': 0.43771231174468994, 'redshifts/mse_bin_1': 0.36115095019340515, 'redshifts/mse_bin_2': 0.2952047884464264, 'redshifts/mse_bin_3': 0.22354656457901, 'redshifts/mse_bin_4': 0.23338942229747772, 'redshifts/mse_bin_5': 0.0742669627070427, 'redshifts/nmad': 0.11229497194290161, 'redshifts/nmad_bin_0': 0.21198472380638123, 'redshifts/nmad_bin_1': 0.1337978094816208, 'redshifts/nmad_bin_2': 0.08831139653921127, 'redshifts/nmad_bin_3': 0.07187025249004364, 'redshifts/nmad_bin_4': 0.0642726868391037, 'redshifts/nmad_bin_5': 0.03531040996313095, 'redshifts/outlier_fraction': 0.32613661885261536, 'redshifts/outlier_fraction_bin_0': 0.48879101872444153, 'redshifts/outlier_fraction_bin_1': 0.35496535897254944, 'redshifts/outlier_fraction_bin_2': 0.25710931420326233, 'redshifts/outlier_fraction_bin_3': 0.20037192106246948, 'redshifts/outlier_fraction_bin_4': 0.18946145474910736, 'redshifts/outlier_fraction_bin_5': 0.09345915913581848, 'redshifts/outlier_fraction_cata': 0.08828850090503693, 'redshifts/outlier_fraction_cata_bin_0': 0.1319965124130249, 'redshifts/outlier_fraction_cata_bin_1': 0.09772591292858124, 'redshifts/outlier_fraction_cata_bin_2': 0.07878945767879486, 'redshifts/outlier_fraction_cata_bin_3': 0.05834495648741722, 'redshifts/outlier_fraction_cata_bin_4': 0.05927934870123863, 'redshifts/outlier_fraction_cata_bin_5': 0.016856491565704346}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1206/1563 [1:54:41<30:37, 5.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([75788.])\n", + "total num of pts: tensor([27496., 18354., 7672., 4306., 2585., 15375.])\n", + "{'redshifts/bias_abs': 0.07591795176267624, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.05949028208851814, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004573456943035126, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010713315568864346, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 8.039054227992892e-05, 'redshifts/mse': 0.3119358718395233, 'redshifts/mse_bin_0': 0.43782493472099304, 'redshifts/mse_bin_1': 0.36130502820014954, 'redshifts/mse_bin_2': 0.2950497567653656, 'redshifts/mse_bin_3': 0.22340162098407745, 'redshifts/mse_bin_4': 0.23309063911437988, 'redshifts/mse_bin_5': 0.07434217631816864, 'redshifts/nmad': 0.1123247742652893, 'redshifts/nmad_bin_0': 0.2120397686958313, 'redshifts/nmad_bin_1': 0.13380151987075806, 'redshifts/nmad_bin_2': 0.08831139653921127, 'redshifts/nmad_bin_3': 0.0719246044754982, 'redshifts/nmad_bin_4': 0.06432920694351196, 'redshifts/nmad_bin_5': 0.0352998748421669, 'redshifts/outlier_fraction': 0.3262125849723816, 'redshifts/outlier_fraction_bin_0': 0.48887109756469727, 'redshifts/outlier_fraction_bin_1': 0.3551269471645355, 'redshifts/outlier_fraction_bin_2': 0.25703859329223633, 'redshifts/outlier_fraction_bin_3': 0.20065025985240936, 'redshifts/outlier_fraction_bin_4': 0.1891682744026184, 'redshifts/outlier_fraction_bin_5': 0.09352845698595047, 'redshifts/outlier_fraction_cata': 0.08828574419021606, 'redshifts/outlier_fraction_cata_bin_0': 0.13201920688152313, 'redshifts/outlier_fraction_cata_bin_1': 0.09768987447023392, 'redshifts/outlier_fraction_cata_bin_2': 0.0787278413772583, 'redshifts/outlier_fraction_cata_bin_3': 0.0582907572388649, 'redshifts/outlier_fraction_cata_bin_4': 0.059187620878219604, 'redshifts/outlier_fraction_cata_bin_5': 0.016910569742321968}\n", + "total num of pts: tensor([75851.])\n", + "total num of pts: tensor([27512., 18375., 7677., 4311., 2588., 15388.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1207/1563 [1:54:46<31:00, 5.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07592830806970596, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004574134014546871, 'redshifts/bias_bin_0': 0.029207874089479446, 'redshifts/bias_bin_1': 0.010670020245015621, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 8.039054227992892e-05, 'redshifts/mse': 0.31196874380111694, 'redshifts/mse_bin_0': 0.4378497302532196, 'redshifts/mse_bin_1': 0.3614985942840576, 'redshifts/mse_bin_2': 0.2948603332042694, 'redshifts/mse_bin_3': 0.2235460728406906, 'redshifts/mse_bin_4': 0.23331822454929352, 'redshifts/mse_bin_5': 0.07429654151201248, 'redshifts/nmad': 0.1123499870300293, 'redshifts/nmad_bin_0': 0.21210305392742157, 'redshifts/nmad_bin_1': 0.13383865356445312, 'redshifts/nmad_bin_2': 0.08833636343479156, 'redshifts/nmad_bin_3': 0.07196754962205887, 'redshifts/nmad_bin_4': 0.06441474705934525, 'redshifts/nmad_bin_5': 0.0352998748421669, 'redshifts/outlier_fraction': 0.3262844383716583, 'redshifts/outlier_fraction_bin_0': 0.488986611366272, 'redshifts/outlier_fraction_bin_1': 0.3553197383880615, 'redshifts/outlier_fraction_bin_2': 0.25687116384506226, 'redshifts/outlier_fraction_bin_3': 0.20064949989318848, 'redshifts/outlier_fraction_bin_4': 0.18972179293632507, 'redshifts/outlier_fraction_bin_5': 0.09351442754268646, 'redshifts/outlier_fraction_cata': 0.08830470591783524, 'redshifts/outlier_fraction_cata_bin_0': 0.13201512396335602, 'redshifts/outlier_fraction_cata_bin_1': 0.09774149954319, 'redshifts/outlier_fraction_cata_bin_2': 0.07867656648159027, 'redshifts/outlier_fraction_cata_bin_3': 0.05845511332154274, 'redshifts/outlier_fraction_cata_bin_4': 0.0595054104924202, 'redshifts/outlier_fraction_cata_bin_5': 0.016896283254027367}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1208/1563 [1:54:52<31:59, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([75920.])\n", + "total num of pts: tensor([27532., 18395., 7685., 4317., 2590., 15401.])\n", + "{'redshifts/bias_abs': 0.07590159773826599, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004568666219711304, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010713315568864346, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.3119572103023529, 'redshifts/mse_bin_0': 0.43790510296821594, 'redshifts/mse_bin_1': 0.36164605617523193, 'redshifts/mse_bin_2': 0.29456761479377747, 'redshifts/mse_bin_3': 0.2232457399368286, 'redshifts/mse_bin_4': 0.23316848278045654, 'redshifts/mse_bin_5': 0.07424628734588623, 'redshifts/nmad': 0.11232513189315796, 'redshifts/nmad_bin_0': 0.2121134102344513, 'redshifts/nmad_bin_1': 0.13381431996822357, 'redshifts/nmad_bin_2': 0.08833636343479156, 'redshifts/nmad_bin_3': 0.0720382109284401, 'redshifts/nmad_bin_4': 0.06441474705934525, 'redshifts/nmad_bin_5': 0.03529096022248268, 'redshifts/outlier_fraction': 0.32623815536499023, 'redshifts/outlier_fraction_bin_0': 0.4890672564506531, 'redshifts/outlier_fraction_bin_1': 0.35525956749916077, 'redshifts/outlier_fraction_bin_2': 0.25660377740859985, 'redshifts/outlier_fraction_bin_3': 0.20037062466144562, 'redshifts/outlier_fraction_bin_4': 0.18957528471946716, 'redshifts/outlier_fraction_bin_5': 0.09350042045116425, 'redshifts/outlier_fraction_cata': 0.08829030394554138, 'redshifts/outlier_fraction_cata_bin_0': 0.13199186325073242, 'redshifts/outlier_fraction_cata_bin_1': 0.09779831767082214, 'redshifts/outlier_fraction_cata_bin_2': 0.07859466224908829, 'redshifts/outlier_fraction_cata_bin_3': 0.05837387219071388, 'redshifts/outlier_fraction_cata_bin_4': 0.05945945903658867, 'redshifts/outlier_fraction_cata_bin_5': 0.016882020980119705}\n", + "total num of pts: tensor([75982.])\n", + "total num of pts: tensor([27553., 18405., 7693., 4320., 2596., 15415.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1209/1563 [1:54:58<32:48, 5.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07591795176267624, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023838430643081665, 'redshifts/bias': 0.004567642696201801, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010670020245015621, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 0.0001227297616424039, 'redshifts/mse': 0.3118935823440552, 'redshifts/mse_bin_0': 0.43801772594451904, 'redshifts/mse_bin_1': 0.3615311086177826, 'redshifts/mse_bin_2': 0.2943069040775299, 'redshifts/mse_bin_3': 0.22309790551662445, 'redshifts/mse_bin_4': 0.2326941043138504, 'redshifts/mse_bin_5': 0.07418898493051529, 'redshifts/nmad': 0.11233339458703995, 'redshifts/nmad_bin_0': 0.21220344305038452, 'redshifts/nmad_bin_1': 0.1338583379983902, 'redshifts/nmad_bin_2': 0.08826818317174911, 'redshifts/nmad_bin_3': 0.07194995880126953, 'redshifts/nmad_bin_4': 0.06441474705934525, 'redshifts/nmad_bin_5': 0.03530561178922653, 'redshifts/outlier_fraction': 0.32619568705558777, 'redshifts/outlier_fraction_bin_0': 0.4890574514865875, 'redshifts/outlier_fraction_bin_1': 0.3553382158279419, 'redshifts/outlier_fraction_bin_2': 0.25646692514419556, 'redshifts/outlier_fraction_bin_3': 0.20023147761821747, 'redshifts/outlier_fraction_bin_4': 0.18913713097572327, 'redshifts/outlier_fraction_bin_5': 0.09348037838935852, 'redshifts/outlier_fraction_cata': 0.08827090263366699, 'redshifts/outlier_fraction_cata_bin_0': 0.13203643262386322, 'redshifts/outlier_fraction_cata_bin_1': 0.09774518013000488, 'redshifts/outlier_fraction_cata_bin_2': 0.07851293683052063, 'redshifts/outlier_fraction_cata_bin_3': 0.05833333358168602, 'redshifts/outlier_fraction_cata_bin_4': 0.05932203307747841, 'redshifts/outlier_fraction_cata_bin_5': 0.016866687685251236}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1210/1563 [1:55:02<31:02, 5.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([76051.])\n", + "total num of pts: tensor([27570., 18418., 7701., 4324., 2602., 15436.])\n", + "{'redshifts/bias_abs': 0.07587472349405289, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004567642696201801, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010670020245015621, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005885158199816942, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.3117699921131134, 'redshifts/mse_bin_0': 0.4378887414932251, 'redshifts/mse_bin_1': 0.3615134656429291, 'redshifts/mse_bin_2': 0.2942178249359131, 'redshifts/mse_bin_3': 0.22335216403007507, 'redshifts/mse_bin_4': 0.23218034207820892, 'redshifts/mse_bin_5': 0.07409664243459702, 'redshifts/nmad': 0.1122928187251091, 'redshifts/nmad_bin_0': 0.21213547885417938, 'redshifts/nmad_bin_1': 0.13391999900341034, 'redshifts/nmad_bin_2': 0.08826662600040436, 'redshifts/nmad_bin_3': 0.0719970092177391, 'redshifts/nmad_bin_4': 0.06446263939142227, 'redshifts/nmad_bin_5': 0.03528773784637451, 'redshifts/outlier_fraction': 0.3261101245880127, 'redshifts/outlier_fraction_bin_0': 0.4889735281467438, 'redshifts/outlier_fraction_bin_1': 0.35546746850013733, 'redshifts/outlier_fraction_bin_2': 0.25633034110069275, 'redshifts/outlier_fraction_bin_3': 0.20027752220630646, 'redshifts/outlier_fraction_bin_4': 0.18870100378990173, 'redshifts/outlier_fraction_bin_5': 0.09341798722743988, 'redshifts/outlier_fraction_cata': 0.08824341744184494, 'redshifts/outlier_fraction_cata_bin_0': 0.13199129700660706, 'redshifts/outlier_fraction_cata_bin_1': 0.09773048013448715, 'redshifts/outlier_fraction_cata_bin_2': 0.0785612240433693, 'redshifts/outlier_fraction_cata_bin_3': 0.058510638773441315, 'redshifts/outlier_fraction_cata_bin_4': 0.05918524041771889, 'redshifts/outlier_fraction_cata_bin_5': 0.01684374175965786}\n", + "total num of pts: tensor([76124.])\n", + "total num of pts: tensor([27595., 18435., 7711., 4328., 2604., 15451.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 77%|███████▋ | 1211/1563 [1:55:07<30:38, 5.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07585663348436356, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.00454575615003705, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010713315568864346, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 8.039054227992892e-05, 'redshifts/mse': 0.3116847276687622, 'redshifts/mse_bin_0': 0.43773147463798523, 'redshifts/mse_bin_1': 0.3616771399974823, 'redshifts/mse_bin_2': 0.2938915491104126, 'redshifts/mse_bin_3': 0.22315414249897003, 'redshifts/mse_bin_4': 0.23200222849845886, 'redshifts/mse_bin_5': 0.07402702420949936, 'redshifts/nmad': 0.11227022111415863, 'redshifts/nmad_bin_0': 0.2121134102344513, 'redshifts/nmad_bin_1': 0.13399459421634674, 'redshifts/nmad_bin_2': 0.08826860040426254, 'redshifts/nmad_bin_3': 0.07194995880126953, 'redshifts/nmad_bin_4': 0.06432057917118073, 'redshifts/nmad_bin_5': 0.03528348729014397, 'redshifts/outlier_fraction': 0.3260863721370697, 'redshifts/outlier_fraction_bin_0': 0.48896539211273193, 'redshifts/outlier_fraction_bin_1': 0.3555736243724823, 'redshifts/outlier_fraction_bin_2': 0.2562572956085205, 'redshifts/outlier_fraction_bin_3': 0.20009241998195648, 'redshifts/outlier_fraction_bin_4': 0.18855606019496918, 'redshifts/outlier_fraction_bin_5': 0.09332729130983353, 'redshifts/outlier_fraction_cata': 0.08821134269237518, 'redshifts/outlier_fraction_cata_bin_0': 0.13190795481204987, 'redshifts/outlier_fraction_cata_bin_1': 0.09780309349298477, 'redshifts/outlier_fraction_cata_bin_2': 0.07845934480428696, 'redshifts/outlier_fraction_cata_bin_3': 0.05845656245946884, 'redshifts/outlier_fraction_cata_bin_4': 0.059139784425497055, 'redshifts/outlier_fraction_cata_bin_5': 0.01682738959789276}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1212/1563 [1:55:12<29:19, 5.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([76198.])\n", + "total num of pts: tensor([27625., 18451., 7718., 4333., 2608., 15463.])\n", + "{'redshifts/bias_abs': 0.0758533924818039, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.04347492381930351, 'redshifts/bias_abs_bin_5': 0.023810138925909996, 'redshifts/bias': 0.004567128140479326, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.0057892403565347195, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 7.882634236011654e-05, 'redshifts/mse': 0.3117252290248871, 'redshifts/mse_bin_0': 0.4379299283027649, 'redshifts/mse_bin_1': 0.36164391040802, 'redshifts/mse_bin_2': 0.293753981590271, 'redshifts/mse_bin_3': 0.2231348156929016, 'redshifts/mse_bin_4': 0.23165418207645416, 'redshifts/mse_bin_5': 0.07399039715528488, 'redshifts/nmad': 0.11228930950164795, 'redshifts/nmad_bin_0': 0.21213313937187195, 'redshifts/nmad_bin_1': 0.13400466740131378, 'redshifts/nmad_bin_2': 0.08828774094581604, 'redshifts/nmad_bin_3': 0.0719246044754982, 'redshifts/nmad_bin_4': 0.06428131461143494, 'redshifts/nmad_bin_5': 0.03529316931962967, 'redshifts/outlier_fraction': 0.3261634111404419, 'redshifts/outlier_fraction_bin_0': 0.48894116282463074, 'redshifts/outlier_fraction_bin_1': 0.35564467310905457, 'redshifts/outlier_fraction_bin_2': 0.2565431594848633, 'redshifts/outlier_fraction_bin_3': 0.20032310485839844, 'redshifts/outlier_fraction_bin_4': 0.18826687335968018, 'redshifts/outlier_fraction_bin_5': 0.09344887733459473, 'redshifts/outlier_fraction_cata': 0.08821754157543182, 'redshifts/outlier_fraction_cata_bin_0': 0.13198189437389374, 'redshifts/outlier_fraction_cata_bin_1': 0.09777247905731201, 'redshifts/outlier_fraction_cata_bin_2': 0.07838818430900574, 'redshifts/outlier_fraction_cata_bin_3': 0.05838910862803459, 'redshifts/outlier_fraction_cata_bin_4': 0.059049081057310104, 'redshifts/outlier_fraction_cata_bin_5': 0.016814330592751503}\n", + "total num of pts: tensor([76256.])\n", + "total num of pts: tensor([27648., 18464., 7722., 4335., 2612., 15475.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1213/1563 [1:55:18<30:19, 5.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07582245022058487, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.0594235323369503, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.02380194701254368, 'redshifts/bias': 0.004559945780783892, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.010714343748986721, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 7.76397719164379e-05, 'redshifts/mse': 0.31171661615371704, 'redshifts/mse_bin_0': 0.43806591629981995, 'redshifts/mse_bin_1': 0.36157143115997314, 'redshifts/mse_bin_2': 0.2936164140701294, 'redshifts/mse_bin_3': 0.22303345799446106, 'redshifts/mse_bin_4': 0.23132391273975372, 'redshifts/mse_bin_5': 0.0739360898733139, 'redshifts/nmad': 0.11225654184818268, 'redshifts/nmad_bin_0': 0.21213530004024506, 'redshifts/nmad_bin_1': 0.13399305939674377, 'redshifts/nmad_bin_2': 0.08822409063577652, 'redshifts/nmad_bin_3': 0.07186716049909592, 'redshifts/nmad_bin_4': 0.06420256942510605, 'redshifts/nmad_bin_5': 0.03528939560055733, 'redshifts/outlier_fraction': 0.32616448402404785, 'redshifts/outlier_fraction_bin_0': 0.48900464177131653, 'redshifts/outlier_fraction_bin_1': 0.3557192385196686, 'redshifts/outlier_fraction_bin_2': 0.25641027092933655, 'redshifts/outlier_fraction_bin_3': 0.2002306878566742, 'redshifts/outlier_fraction_bin_4': 0.1879785656929016, 'redshifts/outlier_fraction_bin_5': 0.09337641298770905, 'redshifts/outlier_fraction_cata': 0.08822911977767944, 'redshifts/outlier_fraction_cata_bin_0': 0.1320529580116272, 'redshifts/outlier_fraction_cata_bin_1': 0.09775780141353607, 'redshifts/outlier_fraction_cata_bin_2': 0.0783475786447525, 'redshifts/outlier_fraction_cata_bin_3': 0.058362167328596115, 'redshifts/outlier_fraction_cata_bin_4': 0.05895865336060524, 'redshifts/outlier_fraction_cata_bin_5': 0.016801292076706886}\n", + "total num of pts: tensor([76335.])\n", + "total num of pts: tensor([27670., 18483., 7730., 4340., 2615., 15497.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1214/1563 [1:55:24<31:50, 5.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07581222057342529, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09100257605314255, 'redshifts/bias_abs_bin_2': 0.05941656976938248, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004554629325866699, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010665003210306168, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 6.341078551486135e-05, 'redshifts/mse': 0.31161507964134216, 'redshifts/mse_bin_0': 0.43811267614364624, 'redshifts/mse_bin_1': 0.36139070987701416, 'redshifts/mse_bin_2': 0.29332658648490906, 'redshifts/mse_bin_3': 0.22294209897518158, 'redshifts/mse_bin_4': 0.23106303811073303, 'redshifts/mse_bin_5': 0.07393257319927216, 'redshifts/nmad': 0.11224060505628586, 'redshifts/nmad_bin_0': 0.21216847002506256, 'redshifts/nmad_bin_1': 0.13401030004024506, 'redshifts/nmad_bin_2': 0.08820033073425293, 'redshifts/nmad_bin_3': 0.07204996049404144, 'redshifts/nmad_bin_4': 0.06410152465105057, 'redshifts/nmad_bin_5': 0.03528759628534317, 'redshifts/outlier_fraction': 0.3261151611804962, 'redshifts/outlier_fraction_bin_0': 0.4890495240688324, 'redshifts/outlier_fraction_bin_1': 0.3556782007217407, 'redshifts/outlier_fraction_bin_2': 0.2561448812484741, 'redshifts/outlier_fraction_bin_3': 0.20046083629131317, 'redshifts/outlier_fraction_bin_4': 0.18776290118694305, 'redshifts/outlier_fraction_bin_5': 0.09337291121482849, 'redshifts/outlier_fraction_cata': 0.08821641653776169, 'redshifts/outlier_fraction_cata_bin_0': 0.13209252059459686, 'redshifts/outlier_fraction_cata_bin_1': 0.09771141409873962, 'redshifts/outlier_fraction_cata_bin_2': 0.07826649397611618, 'redshifts/outlier_fraction_cata_bin_3': 0.058294929563999176, 'redshifts/outlier_fraction_cata_bin_4': 0.05889101326465607, 'redshifts/outlier_fraction_cata_bin_5': 0.016841968521475792}\n", + "total num of pts: tensor([76394.])\n", + "total num of pts: tensor([27691., 18499., 7737., 4343., 2616., 15508.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1215/1563 [1:55:30<32:38, 5.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07580658048391342, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.00454575615003705, 'redshifts/bias_bin_0': 0.02925345115363598, 'redshifts/bias_bin_1': 0.010665003210306168, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 6.211790605448186e-05, 'redshifts/mse': 0.3116978406906128, 'redshifts/mse_bin_0': 0.4382157623767853, 'redshifts/mse_bin_1': 0.3613247871398926, 'redshifts/mse_bin_2': 0.2931149899959564, 'redshifts/mse_bin_3': 0.22278910875320435, 'redshifts/mse_bin_4': 0.23097476363182068, 'redshifts/mse_bin_5': 0.07437490671873093, 'redshifts/nmad': 0.11217255890369415, 'redshifts/nmad_bin_0': 0.21214860677719116, 'redshifts/nmad_bin_1': 0.13394740223884583, 'redshifts/nmad_bin_2': 0.0881994441151619, 'redshifts/nmad_bin_3': 0.07196170836687088, 'redshifts/nmad_bin_4': 0.06404517590999603, 'redshifts/nmad_bin_5': 0.03525639697909355, 'redshifts/outlier_fraction': 0.32603347301483154, 'redshifts/outlier_fraction_bin_0': 0.48893141746520996, 'redshifts/outlier_fraction_bin_1': 0.35558679699897766, 'redshifts/outlier_fraction_bin_2': 0.25604239106178284, 'redshifts/outlier_fraction_bin_3': 0.20032235980033875, 'redshifts/outlier_fraction_bin_4': 0.18769113719463348, 'redshifts/outlier_fraction_bin_5': 0.09337116032838821, 'redshifts/outlier_fraction_cata': 0.08823991566896439, 'redshifts/outlier_fraction_cata_bin_0': 0.13213679194450378, 'redshifts/outlier_fraction_cata_bin_1': 0.09773501008749008, 'redshifts/outlier_fraction_cata_bin_2': 0.07819568365812302, 'redshifts/outlier_fraction_cata_bin_3': 0.0582546629011631, 'redshifts/outlier_fraction_cata_bin_4': 0.05886850133538246, 'redshifts/outlier_fraction_cata_bin_5': 0.016894506290555}\n", + "total num of pts: tensor([76462.])\n", + "total num of pts: tensor([27710., 18511., 7743., 4349., 2616., 15533.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1216/1563 [1:55:35<31:55, 5.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07579565793275833, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05941656976938248, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023838430643081665, 'redshifts/bias': 0.004538059234619141, 'redshifts/bias_bin_0': 0.02924492582678795, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 6.327300798147917e-05, 'redshifts/mse': 0.3116893470287323, 'redshifts/mse_bin_0': 0.4382260739803314, 'redshifts/mse_bin_1': 0.361638605594635, 'redshifts/mse_bin_2': 0.29293403029441833, 'redshifts/mse_bin_3': 0.22261542081832886, 'redshifts/mse_bin_4': 0.23097476363182068, 'redshifts/mse_bin_5': 0.07431023567914963, 'redshifts/nmad': 0.11215978115797043, 'redshifts/nmad_bin_0': 0.21213597059249878, 'redshifts/nmad_bin_1': 0.1339612901210785, 'redshifts/nmad_bin_2': 0.08820033073425293, 'redshifts/nmad_bin_3': 0.07204996049404144, 'redshifts/nmad_bin_4': 0.06404517590999603, 'redshifts/nmad_bin_5': 0.03532031178474426, 'redshifts/outlier_fraction': 0.32599198818206787, 'redshifts/outlier_fraction_bin_0': 0.4889209568500519, 'redshifts/outlier_fraction_bin_1': 0.3555183410644531, 'redshifts/outlier_fraction_bin_2': 0.25597313046455383, 'redshifts/outlier_fraction_bin_3': 0.20027592778205872, 'redshifts/outlier_fraction_bin_4': 0.18769113719463348, 'redshifts/outlier_fraction_bin_5': 0.09354277700185776, 'redshifts/outlier_fraction_cata': 0.08822683244943619, 'redshifts/outlier_fraction_cata_bin_0': 0.1321544498205185, 'redshifts/outlier_fraction_cata_bin_1': 0.09777969866991043, 'redshifts/outlier_fraction_cata_bin_2': 0.07813508808612823, 'redshifts/outlier_fraction_cata_bin_3': 0.058174293488264084, 'redshifts/outlier_fraction_cata_bin_4': 0.05886850133538246, 'redshifts/outlier_fraction_cata_bin_5': 0.016867315396666527}\n", + "total num of pts: tensor([76536.])\n", + "total num of pts: tensor([27734., 18525., 7754., 4352., 2618., 15553.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1217/1563 [1:55:40<30:30, 5.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07580576092004776, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09099170565605164, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004538059234619141, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 6.211790605448186e-05, 'redshifts/mse': 0.31168389320373535, 'redshifts/mse_bin_0': 0.4382082223892212, 'redshifts/mse_bin_1': 0.3616386353969574, 'redshifts/mse_bin_2': 0.2925673723220825, 'redshifts/mse_bin_3': 0.22247396409511566, 'redshifts/mse_bin_4': 0.23080646991729736, 'redshifts/mse_bin_5': 0.07467179000377655, 'redshifts/nmad': 0.11217664927244186, 'redshifts/nmad_bin_0': 0.21215768158435822, 'redshifts/nmad_bin_1': 0.13397644460201263, 'redshifts/nmad_bin_2': 0.08817554265260696, 'redshifts/nmad_bin_3': 0.07206569612026215, 'redshifts/nmad_bin_4': 0.06405362486839294, 'redshifts/nmad_bin_5': 0.03532060608267784, 'redshifts/outlier_fraction': 0.3259642422199249, 'redshifts/outlier_fraction_bin_0': 0.48896661400794983, 'redshifts/outlier_fraction_bin_1': 0.355519562959671, 'redshifts/outlier_fraction_bin_2': 0.2557389736175537, 'redshifts/outlier_fraction_bin_3': 0.20013786852359772, 'redshifts/outlier_fraction_bin_4': 0.1875477433204651, 'redshifts/outlier_fraction_bin_5': 0.09361538290977478, 'redshifts/outlier_fraction_cata': 0.08821992576122284, 'redshifts/outlier_fraction_cata_bin_0': 0.13218432664871216, 'redshifts/outlier_fraction_cata_bin_1': 0.09775978326797485, 'redshifts/outlier_fraction_cata_bin_2': 0.0780242457985878, 'redshifts/outlier_fraction_cata_bin_3': 0.05813419073820114, 'redshifts/outlier_fraction_cata_bin_4': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_5': 0.016909921541810036}\n", + "total num of pts: tensor([76608.])\n", + "total num of pts: tensor([27755., 18539., 7764., 4358., 2620., 15572.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1218/1563 [1:55:45<30:13, 5.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07575347274541855, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004538869485259056, 'redshifts/bias_bin_0': 0.029331788420677185, 'redshifts/bias_bin_1': 0.010665003210306168, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 5.655017594108358e-05, 'redshifts/mse': 0.31162595748901367, 'redshifts/mse_bin_0': 0.43814417719841003, 'redshifts/mse_bin_1': 0.3618912696838379, 'redshifts/mse_bin_2': 0.29225119948387146, 'redshifts/mse_bin_3': 0.22221718728542328, 'redshifts/mse_bin_4': 0.23064304888248444, 'redshifts/mse_bin_5': 0.07458826154470444, 'redshifts/nmad': 0.11209025233983994, 'redshifts/nmad_bin_0': 0.21208278834819794, 'redshifts/nmad_bin_1': 0.1338988095521927, 'redshifts/nmad_bin_2': 0.0881565734744072, 'redshifts/nmad_bin_3': 0.07201210409402847, 'redshifts/nmad_bin_4': 0.06411071121692657, 'redshifts/nmad_bin_5': 0.03531034663319588, 'redshifts/outlier_fraction': 0.3258667588233948, 'redshifts/outlier_fraction_bin_0': 0.4889209270477295, 'redshifts/outlier_fraction_bin_1': 0.3554668426513672, 'redshifts/outlier_fraction_bin_2': 0.25553837418556213, 'redshifts/outlier_fraction_bin_3': 0.20009177923202515, 'redshifts/outlier_fraction_bin_4': 0.187786266207695, 'redshifts/outlier_fraction_bin_5': 0.09350115805864334, 'redshifts/outlier_fraction_cata': 0.08821532875299454, 'redshifts/outlier_fraction_cata_bin_0': 0.13219240307807922, 'redshifts/outlier_fraction_cata_bin_1': 0.09784778207540512, 'redshifts/outlier_fraction_cata_bin_2': 0.07792375236749649, 'redshifts/outlier_fraction_cata_bin_3': 0.05805415287613869, 'redshifts/outlier_fraction_cata_bin_4': 0.05877862498164177, 'redshifts/outlier_fraction_cata_bin_5': 0.016889289021492004}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1219/1563 [1:55:50<30:23, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([76672.])\n", + "total num of pts: tensor([27775., 18554., 7774., 4359., 2622., 15588.])\n", + "{'redshifts/bias_abs': 0.07573051005601883, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05936189368367195, 'redshifts/bias_abs_bin_3': 0.04811948910355568, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004531383514404297, 'redshifts/bias_bin_0': 0.029310746118426323, 'redshifts/bias_bin_1': 0.010642170906066895, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 5.538789264392108e-05, 'redshifts/mse': 0.3115069270133972, 'redshifts/mse_bin_0': 0.4380243420600891, 'redshifts/mse_bin_1': 0.36173516511917114, 'redshifts/mse_bin_2': 0.2920297682285309, 'redshifts/mse_bin_3': 0.22216925024986267, 'redshifts/mse_bin_4': 0.2304813712835312, 'redshifts/mse_bin_5': 0.0746142566204071, 'redshifts/nmad': 0.11205850541591644, 'redshifts/nmad_bin_0': 0.21203674376010895, 'redshifts/nmad_bin_1': 0.13381704688072205, 'redshifts/nmad_bin_2': 0.08812917023897171, 'redshifts/nmad_bin_3': 0.07207243144512177, 'redshifts/nmad_bin_4': 0.06411071121692657, 'redshifts/nmad_bin_5': 0.03531062975525856, 'redshifts/outlier_fraction': 0.32572516798973083, 'redshifts/outlier_fraction_bin_0': 0.488712877035141, 'redshifts/outlier_fraction_bin_1': 0.35539504885673523, 'redshifts/outlier_fraction_bin_2': 0.25533831119537354, 'redshifts/outlier_fraction_bin_3': 0.2000458836555481, 'redshifts/outlier_fraction_bin_4': 0.18764302134513855, 'redshifts/outlier_fraction_bin_5': 0.09346933662891388, 'redshifts/outlier_fraction_cata': 0.08820690959692001, 'redshifts/outlier_fraction_cata_bin_0': 0.1321692168712616, 'redshifts/outlier_fraction_cata_bin_1': 0.09782256931066513, 'redshifts/outlier_fraction_cata_bin_2': 0.07795214653015137, 'redshifts/outlier_fraction_cata_bin_3': 0.058040834963321686, 'redshifts/outlier_fraction_cata_bin_4': 0.05873379111289978, 'redshifts/outlier_fraction_cata_bin_5': 0.016936104744672775}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1220/1563 [1:55:57<33:13, 5.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([76744.])\n", + "total num of pts: tensor([27803., 18568., 7782., 4365., 2626., 15600.])\n", + "{'redshifts/bias_abs': 0.07572814077138901, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.05939164012670517, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004538869485259056, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.010628738440573215, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 5.830815644003451e-05, 'redshifts/mse': 0.3114846348762512, 'redshifts/mse_bin_0': 0.43802744150161743, 'redshifts/mse_bin_1': 0.3616994619369507, 'redshifts/mse_bin_2': 0.292184442281723, 'redshifts/mse_bin_3': 0.22186943888664246, 'redshifts/mse_bin_4': 0.23022019863128662, 'redshifts/mse_bin_5': 0.07456770539283752, 'redshifts/nmad': 0.11205656081438065, 'redshifts/nmad_bin_0': 0.21191848814487457, 'redshifts/nmad_bin_1': 0.13389363884925842, 'redshifts/nmad_bin_2': 0.08814326673746109, 'redshifts/nmad_bin_3': 0.07194797694683075, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.03532359004020691, 'redshifts/outlier_fraction': 0.3256801962852478, 'redshifts/outlier_fraction_bin_0': 0.4885084331035614, 'redshifts/outlier_fraction_bin_1': 0.35545024275779724, 'redshifts/outlier_fraction_bin_2': 0.2555898129940033, 'redshifts/outlier_fraction_bin_3': 0.19977089762687683, 'redshifts/outlier_fraction_bin_4': 0.18773800134658813, 'redshifts/outlier_fraction_bin_5': 0.0934615358710289, 'redshifts/outlier_fraction_cata': 0.08821536600589752, 'redshifts/outlier_fraction_cata_bin_0': 0.1321440190076828, 'redshifts/outlier_fraction_cata_bin_1': 0.09785652905702591, 'redshifts/outlier_fraction_cata_bin_2': 0.07812901586294174, 'redshifts/outlier_fraction_cata_bin_3': 0.057961054146289825, 'redshifts/outlier_fraction_cata_bin_4': 0.05864432454109192, 'redshifts/outlier_fraction_cata_bin_5': 0.016923077404499054}\n", + "total num of pts: tensor([76801.])\n", + "total num of pts: tensor([27820., 18591., 7792., 4368., 2627., 15603.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1221/1563 [1:56:02<31:38, 5.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07574629038572311, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.05948880687355995, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004559945780783892, 'redshifts/bias_bin_0': 0.029341023415327072, 'redshifts/bias_bin_1': 0.010621380060911179, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 6.113558629294857e-05, 'redshifts/mse': 0.3115460276603699, 'redshifts/mse_bin_0': 0.43821921944618225, 'redshifts/mse_bin_1': 0.3615369200706482, 'redshifts/mse_bin_2': 0.2923126518726349, 'redshifts/mse_bin_3': 0.22182367742061615, 'redshifts/mse_bin_4': 0.23013286292552948, 'redshifts/mse_bin_5': 0.07455360889434814, 'redshifts/nmad': 0.11209699511528015, 'redshifts/nmad_bin_0': 0.21192458271980286, 'redshifts/nmad_bin_1': 0.1338341385126114, 'redshifts/nmad_bin_2': 0.0882207453250885, 'redshifts/nmad_bin_3': 0.07194797694683075, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.03531939536333084, 'redshifts/outlier_fraction': 0.32572492957115173, 'redshifts/outlier_fraction_bin_0': 0.48856937885284424, 'redshifts/outlier_fraction_bin_1': 0.35538700222969055, 'redshifts/outlier_fraction_bin_2': 0.2557751536369324, 'redshifts/outlier_fraction_bin_3': 0.19986264407634735, 'redshifts/outlier_fraction_bin_4': 0.18766653537750244, 'redshifts/outlier_fraction_bin_5': 0.09344356507062912, 'redshifts/outlier_fraction_cata': 0.08821499347686768, 'redshifts/outlier_fraction_cata_bin_0': 0.13217109441757202, 'redshifts/outlier_fraction_cata_bin_1': 0.09778925031423569, 'redshifts/outlier_fraction_cata_bin_2': 0.07815708220005035, 'redshifts/outlier_fraction_cata_bin_3': 0.05792124569416046, 'redshifts/outlier_fraction_cata_bin_4': 0.058622002601623535, 'redshifts/outlier_fraction_cata_bin_5': 0.016919823363423347}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1222/1563 [1:56:07<30:41, 5.40s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([76861.])\n", + "total num of pts: tensor([27835., 18608., 7798., 4375., 2627., 15618.])\n", + "{'redshifts/bias_abs': 0.07572242617607117, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09076134860515594, 'redshifts/bias_abs_bin_2': 0.05941656976938248, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023838430643081665, 'redshifts/bias': 0.004554629325866699, 'redshifts/bias_bin_0': 0.029310746118426323, 'redshifts/bias_bin_1': 0.010628738440573215, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 5.830815644003451e-05, 'redshifts/mse': 0.31146499514579773, 'redshifts/mse_bin_0': 0.438080370426178, 'redshifts/mse_bin_1': 0.3614308834075928, 'redshifts/mse_bin_2': 0.2921431362628937, 'redshifts/mse_bin_3': 0.22261197865009308, 'redshifts/mse_bin_4': 0.23013286292552948, 'redshifts/mse_bin_5': 0.074491485953331, 'redshifts/nmad': 0.11203320324420929, 'redshifts/nmad_bin_0': 0.21195049583911896, 'redshifts/nmad_bin_1': 0.13382163643836975, 'redshifts/nmad_bin_2': 0.08820883184671402, 'redshifts/nmad_bin_3': 0.07196170836687088, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.03531805798411369, 'redshifts/outlier_fraction': 0.32567882537841797, 'redshifts/outlier_fraction_bin_0': 0.48862943053245544, 'redshifts/outlier_fraction_bin_1': 0.35533103346824646, 'redshifts/outlier_fraction_bin_2': 0.2557065784931183, 'redshifts/outlier_fraction_bin_3': 0.1997714340686798, 'redshifts/outlier_fraction_bin_4': 0.18766653537750244, 'redshifts/outlier_fraction_bin_5': 0.09335382282733917, 'redshifts/outlier_fraction_cata': 0.08818516880273819, 'redshifts/outlier_fraction_cata_bin_0': 0.13209986686706543, 'redshifts/outlier_fraction_cata_bin_1': 0.0978073924779892, 'redshifts/outlier_fraction_cata_bin_2': 0.07809694856405258, 'redshifts/outlier_fraction_cata_bin_3': 0.05805714428424835, 'redshifts/outlier_fraction_cata_bin_4': 0.058622002601623535, 'redshifts/outlier_fraction_cata_bin_5': 0.016903573647141457}\n", + "total num of pts: tensor([76928.])\n", + "total num of pts: tensor([27853., 18623., 7805., 4385., 2627., 15635.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1223/1563 [1:56:13<31:59, 5.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07565823197364807, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09075427800416946, 'redshifts/bias_abs_bin_2': 0.05937325209379196, 'redshifts/bias_abs_bin_3': 0.048116981983184814, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023825833573937416, 'redshifts/bias': 0.004538059234619141, 'redshifts/bias_bin_0': 0.02926735393702984, 'redshifts/bias_bin_1': 0.01061045378446579, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 5.655017594108358e-05, 'redshifts/mse': 0.31129539012908936, 'redshifts/mse_bin_0': 0.4379115700721741, 'redshifts/mse_bin_1': 0.3613016903400421, 'redshifts/mse_bin_2': 0.29199886322021484, 'redshifts/mse_bin_3': 0.22224430739879608, 'redshifts/mse_bin_4': 0.23013286292552948, 'redshifts/mse_bin_5': 0.07441606372594833, 'redshifts/nmad': 0.1119764894247055, 'redshifts/nmad_bin_0': 0.21185243129730225, 'redshifts/nmad_bin_1': 0.13381944596767426, 'redshifts/nmad_bin_2': 0.08813251554965973, 'redshifts/nmad_bin_3': 0.07197745144367218, 'redshifts/nmad_bin_4': 0.06409306824207306, 'redshifts/nmad_bin_5': 0.03531235083937645, 'redshifts/outlier_fraction': 0.3255901634693146, 'redshifts/outlier_fraction_bin_0': 0.4884931743144989, 'redshifts/outlier_fraction_bin_1': 0.35531333088874817, 'redshifts/outlier_fraction_bin_2': 0.2556053698062897, 'redshifts/outlier_fraction_bin_3': 0.20022805035114288, 'redshifts/outlier_fraction_bin_4': 0.18766653537750244, 'redshifts/outlier_fraction_bin_5': 0.09325231611728668, 'redshifts/outlier_fraction_cata': 0.0881473571062088, 'redshifts/outlier_fraction_cata_bin_0': 0.13208630681037903, 'redshifts/outlier_fraction_cata_bin_1': 0.09778231382369995, 'redshifts/outlier_fraction_cata_bin_2': 0.0780269056558609, 'redshifts/outlier_fraction_cata_bin_3': 0.05792474374175072, 'redshifts/outlier_fraction_cata_bin_4': 0.058622002601623535, 'redshifts/outlier_fraction_cata_bin_5': 0.016885193064808846}\n", + "total num of pts: tensor([77005.])\n", + "total num of pts: tensor([27886., 18642., 7817., 4386., 2628., 15646.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1224/1563 [1:56:18<30:27, 5.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0756986141204834, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.059355854988098145, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.0238399188965559, 'redshifts/bias': 0.004538869485259056, 'redshifts/bias_bin_0': 0.029310746118426323, 'redshifts/bias_bin_1': 0.010621380060911179, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 5.501848499989137e-05, 'redshifts/mse': 0.31125926971435547, 'redshifts/mse_bin_0': 0.4379049837589264, 'redshifts/mse_bin_1': 0.3611082434654236, 'redshifts/mse_bin_2': 0.29198676347732544, 'redshifts/mse_bin_3': 0.22219368815422058, 'redshifts/mse_bin_4': 0.23004533350467682, 'redshifts/mse_bin_5': 0.07437992095947266, 'redshifts/nmad': 0.11202522367238998, 'redshifts/nmad_bin_0': 0.21195049583911896, 'redshifts/nmad_bin_1': 0.13383254408836365, 'redshifts/nmad_bin_2': 0.0881359651684761, 'redshifts/nmad_bin_3': 0.07198263704776764, 'redshifts/nmad_bin_4': 0.06405362486839294, 'redshifts/nmad_bin_5': 0.035328466445207596, 'redshifts/outlier_fraction': 0.32569313049316406, 'redshifts/outlier_fraction_bin_0': 0.48866814374923706, 'redshifts/outlier_fraction_bin_1': 0.3553803265094757, 'redshifts/outlier_fraction_bin_2': 0.25546884536743164, 'redshifts/outlier_fraction_bin_3': 0.20018239319324493, 'redshifts/outlier_fraction_bin_4': 0.18759512901306152, 'redshifts/outlier_fraction_bin_5': 0.09331458806991577, 'redshifts/outlier_fraction_cata': 0.08813713490962982, 'redshifts/outlier_fraction_cata_bin_0': 0.13210929930210114, 'redshifts/outlier_fraction_cata_bin_1': 0.0976826548576355, 'redshifts/outlier_fraction_cata_bin_2': 0.07803504914045334, 'redshifts/outlier_fraction_cata_bin_3': 0.05791153758764267, 'redshifts/outlier_fraction_cata_bin_4': 0.058599695563316345, 'redshifts/outlier_fraction_cata_bin_5': 0.016873322427272797}\n", + "total num of pts: tensor([77066.])\n", + "total num of pts: tensor([27910., 18654., 7824., 4388., 2632., 15658.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 78%|███████▊ | 1225/1563 [1:56:25<32:34, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07567549496889114, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09078682959079742, 'redshifts/bias_abs_bin_2': 0.05935283005237579, 'redshifts/bias_abs_bin_3': 0.04809638112783432, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02381938323378563, 'redshifts/bias': 0.004567444324493408, 'redshifts/bias_bin_0': 0.029310746118426323, 'redshifts/bias_bin_1': 0.01061045378446579, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 6.113558629294857e-05, 'redshifts/mse': 0.31121259927749634, 'redshifts/mse_bin_0': 0.43779030442237854, 'redshifts/mse_bin_1': 0.3609426021575928, 'redshifts/mse_bin_2': 0.29233160614967346, 'redshifts/mse_bin_3': 0.22209979593753815, 'redshifts/mse_bin_4': 0.23045673966407776, 'redshifts/mse_bin_5': 0.0743265375494957, 'redshifts/nmad': 0.11197874695062637, 'redshifts/nmad_bin_0': 0.2119167596101761, 'redshifts/nmad_bin_1': 0.13381944596767426, 'redshifts/nmad_bin_2': 0.08807625621557236, 'redshifts/nmad_bin_3': 0.07198263704776764, 'redshifts/nmad_bin_4': 0.06404291093349457, 'redshifts/nmad_bin_5': 0.03531423956155777, 'redshifts/outlier_fraction': 0.3256818950176239, 'redshifts/outlier_fraction_bin_0': 0.4886420667171478, 'redshifts/outlier_fraction_bin_1': 0.35536614060401917, 'redshifts/outlier_fraction_bin_2': 0.2556237280368805, 'redshifts/outlier_fraction_bin_3': 0.200091153383255, 'redshifts/outlier_fraction_bin_4': 0.18768997490406036, 'redshifts/outlier_fraction_bin_5': 0.0932430699467659, 'redshifts/outlier_fraction_cata': 0.08813224732875824, 'redshifts/outlier_fraction_cata_bin_0': 0.13210318982601166, 'redshifts/outlier_fraction_cata_bin_1': 0.09761981666088104, 'redshifts/outlier_fraction_cata_bin_2': 0.0780930444598198, 'redshifts/outlier_fraction_cata_bin_3': 0.05788514018058777, 'redshifts/outlier_fraction_cata_bin_4': 0.05889057740569115, 'redshifts/outlier_fraction_cata_bin_5': 0.016860390082001686}\n", + "total num of pts: tensor([77141.])\n", + "total num of pts: tensor([27941., 18675., 7830., 4391., 2634., 15670.])\n", + "{'redshifts/bias_abs': 0.07567308098077774, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09082362055778503, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02378382906317711, 'redshifts/bias': 0.004559945780783892, 'redshifts/bias_bin_0': 0.029207874089479446, 'redshifts/bias_bin_1': 0.010621380060911179, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.830815644003451e-05, 'redshifts/mse': 0.3111059069633484, 'redshifts/mse_bin_0': 0.4375265836715698, 'redshifts/mse_bin_1': 0.3610004484653473, 'redshifts/mse_bin_2': 0.29213032126426697, 'redshifts/mse_bin_3': 0.2219494879245758, 'redshifts/mse_bin_4': 0.23028722405433655, 'redshifts/mse_bin_5': 0.07427278161048889, 'redshifts/nmad': 0.11197422444820404, 'redshifts/nmad_bin_0': 0.21176423132419586, 'redshifts/nmad_bin_1': 0.13388271629810333, 'redshifts/nmad_bin_2': 0.08806171268224716, 'redshifts/nmad_bin_3': 0.0719258189201355, 'redshifts/nmad_bin_4': 0.06404291093349457, 'redshifts/nmad_bin_5': 0.03528450056910515, 'redshifts/outlier_fraction': 0.3256504237651825, 'redshifts/outlier_fraction_bin_0': 0.4884936213493347, 'redshifts/outlier_fraction_bin_1': 0.35550200939178467, 'redshifts/outlier_fraction_bin_2': 0.25555557012557983, 'redshifts/outlier_fraction_bin_3': 0.19995445013046265, 'redshifts/outlier_fraction_bin_4': 0.1875474601984024, 'redshifts/outlier_fraction_bin_5': 0.09317166358232498, 'redshifts/outlier_fraction_cata': 0.08811137825250626, 'redshifts/outlier_fraction_cata_bin_0': 0.13202820718288422, 'redshifts/outlier_fraction_cata_bin_1': 0.09767068177461624, 'redshifts/outlier_fraction_cata_bin_2': 0.0780332088470459, 'redshifts/outlier_fraction_cata_bin_3': 0.0578455924987793, 'redshifts/outlier_fraction_cata_bin_4': 0.05884586274623871, 'redshifts/outlier_fraction_cata_bin_5': 0.016847480088472366}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▊ | 1227/1563 [1:56:35<29:44, 5.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([77193.])\n", + "total num of pts: tensor([27961., 18692., 7832., 4395., 2634., 15679.])\n", + "{'redshifts/bias_abs': 0.07567308098077774, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02378382906317711, 'redshifts/bias': 0.00456771207973361, 'redshifts/bias_bin_0': 0.029229620471596718, 'redshifts/bias_bin_1': 0.01061045378446579, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.830815644003451e-05, 'redshifts/mse': 0.3110505938529968, 'redshifts/mse_bin_0': 0.4373640716075897, 'redshifts/mse_bin_1': 0.36107030510902405, 'redshifts/mse_bin_2': 0.2920713424682617, 'redshifts/mse_bin_3': 0.22174930572509766, 'redshifts/mse_bin_4': 0.23028722405433655, 'redshifts/mse_bin_5': 0.07423816621303558, 'redshifts/nmad': 0.11197914183139801, 'redshifts/nmad_bin_0': 0.2117895781993866, 'redshifts/nmad_bin_1': 0.13382704555988312, 'redshifts/nmad_bin_2': 0.08806171268224716, 'redshifts/nmad_bin_3': 0.07182224839925766, 'redshifts/nmad_bin_4': 0.06404291093349457, 'redshifts/nmad_bin_5': 0.03528450056910515, 'redshifts/outlier_fraction': 0.32562538981437683, 'redshifts/outlier_fraction_bin_0': 0.48853760957717896, 'redshifts/outlier_fraction_bin_1': 0.3553926944732666, 'redshifts/outlier_fraction_bin_2': 0.2554903030395508, 'redshifts/outlier_fraction_bin_3': 0.19977246224880219, 'redshifts/outlier_fraction_bin_4': 0.1875474601984024, 'redshifts/outlier_fraction_bin_5': 0.09311818331480026, 'redshifts/outlier_fraction_cata': 0.08809088915586472, 'redshifts/outlier_fraction_cata_bin_0': 0.1319337636232376, 'redshifts/outlier_fraction_cata_bin_1': 0.09774234890937805, 'redshifts/outlier_fraction_cata_bin_2': 0.07801327854394913, 'redshifts/outlier_fraction_cata_bin_3': 0.05779294669628143, 'redshifts/outlier_fraction_cata_bin_4': 0.05884586274623871, 'redshifts/outlier_fraction_cata_bin_5': 0.01683780923485756}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▊ | 1228/1563 [1:56:39<27:13, 4.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([77257.])\n", + "total num of pts: tensor([27989., 18704., 7837., 4399., 2635., 15693.])\n", + "{'redshifts/bias_abs': 0.07567549496889114, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09081581234931946, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02378382906317711, 'redshifts/bias': 0.004554629325866699, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010603499598801136, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 6.113558629294857e-05, 'redshifts/mse': 0.31095564365386963, 'redshifts/mse_bin_0': 0.4371827244758606, 'redshifts/mse_bin_1': 0.3610893785953522, 'redshifts/mse_bin_2': 0.291942834854126, 'redshifts/mse_bin_3': 0.22158761322498322, 'redshifts/mse_bin_4': 0.2302064299583435, 'redshifts/mse_bin_5': 0.07417616993188858, 'redshifts/nmad': 0.11200182139873505, 'redshifts/nmad_bin_0': 0.21169570088386536, 'redshifts/nmad_bin_1': 0.13385622203350067, 'redshifts/nmad_bin_2': 0.08806341141462326, 'redshifts/nmad_bin_3': 0.07180650532245636, 'redshifts/nmad_bin_4': 0.06404517590999603, 'redshifts/nmad_bin_5': 0.035282596945762634, 'redshifts/outlier_fraction': 0.3256145119667053, 'redshifts/outlier_fraction_bin_0': 0.48851335048675537, 'redshifts/outlier_fraction_bin_1': 0.35543200373649597, 'redshifts/outlier_fraction_bin_2': 0.2554548978805542, 'redshifts/outlier_fraction_bin_3': 0.19981813430786133, 'redshifts/outlier_fraction_bin_4': 0.1874762773513794, 'redshifts/outlier_fraction_bin_5': 0.09303510934114456, 'redshifts/outlier_fraction_cata': 0.08804380148649216, 'redshifts/outlier_fraction_cata_bin_0': 0.13183750212192535, 'redshifts/outlier_fraction_cata_bin_1': 0.09773310273885727, 'redshifts/outlier_fraction_cata_bin_2': 0.07796350866556168, 'redshifts/outlier_fraction_cata_bin_3': 0.05774039402604103, 'redshifts/outlier_fraction_cata_bin_4': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_5': 0.01682278700172901}\n", + "total num of pts: tensor([77329.])\n", + "total num of pts: tensor([28007., 18722., 7844., 4404., 2638., 15714.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▊ | 1229/1563 [1:56:43<26:49, 4.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07564939558506012, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09081535786390305, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004533535335212946, 'redshifts/bias_bin_0': 0.029201732948422432, 'redshifts/bias_bin_1': 0.010589889250695705, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.655017594108358e-05, 'redshifts/mse': 0.3109404444694519, 'redshifts/mse_bin_0': 0.437110036611557, 'redshifts/mse_bin_1': 0.36106646060943604, 'redshifts/mse_bin_2': 0.2917202115058899, 'redshifts/mse_bin_3': 0.22137367725372314, 'redshifts/mse_bin_4': 0.22995099425315857, 'redshifts/mse_bin_5': 0.07463861256837845, 'redshifts/nmad': 0.11197054386138916, 'redshifts/nmad_bin_0': 0.21166108548641205, 'redshifts/nmad_bin_1': 0.13384993374347687, 'redshifts/nmad_bin_2': 0.08806341141462326, 'redshifts/nmad_bin_3': 0.07184610515832901, 'redshifts/nmad_bin_4': 0.06404291093349457, 'redshifts/nmad_bin_5': 0.03524814173579216, 'redshifts/outlier_fraction': 0.3255311846733093, 'redshifts/outlier_fraction_bin_0': 0.48841360211372375, 'redshifts/outlier_fraction_bin_1': 0.3554641604423523, 'redshifts/outlier_fraction_bin_2': 0.2553544044494629, 'redshifts/outlier_fraction_bin_3': 0.19981834292411804, 'redshifts/outlier_fraction_bin_4': 0.18726307153701782, 'redshifts/outlier_fraction_bin_5': 0.09303805232048035, 'redshifts/outlier_fraction_cata': 0.0880264863371849, 'redshifts/outlier_fraction_cata_bin_0': 0.13182418048381805, 'redshifts/outlier_fraction_cata_bin_1': 0.09774596989154816, 'redshifts/outlier_fraction_cata_bin_2': 0.0778939351439476, 'redshifts/outlier_fraction_cata_bin_3': 0.057674840092659, 'redshifts/outlier_fraction_cata_bin_4': 0.05875663459300995, 'redshifts/outlier_fraction_cata_bin_5': 0.01686394214630127}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▊ | 1230/1563 [1:56:48<27:20, 4.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([77412.])\n", + "total num of pts: tensor([28034., 18746., 7852., 4409., 2640., 15731.])\n", + "{'redshifts/bias_abs': 0.0756223276257515, 'redshifts/bias_abs_bin_0': 0.14460574090480804, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004533535335212946, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.010589889250695705, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 6.113558629294857e-05, 'redshifts/mse': 0.31081852316856384, 'redshifts/mse_bin_0': 0.4370453655719757, 'redshifts/mse_bin_1': 0.3608848452568054, 'redshifts/mse_bin_2': 0.2914508283138275, 'redshifts/mse_bin_3': 0.22127889096736908, 'redshifts/mse_bin_4': 0.22981703281402588, 'redshifts/mse_bin_5': 0.07456456869840622, 'redshifts/nmad': 0.11190319806337357, 'redshifts/nmad_bin_0': 0.211569145321846, 'redshifts/nmad_bin_1': 0.13378101587295532, 'redshifts/nmad_bin_2': 0.08802288770675659, 'redshifts/nmad_bin_3': 0.07179570198059082, 'redshifts/nmad_bin_4': 0.06404291093349457, 'redshifts/nmad_bin_5': 0.03525221720337868, 'redshifts/outlier_fraction': 0.32544049620628357, 'redshifts/outlier_fraction_bin_0': 0.4882999360561371, 'redshifts/outlier_fraction_bin_1': 0.3553824722766876, 'redshifts/outlier_fraction_bin_2': 0.2552216053009033, 'redshifts/outlier_fraction_bin_3': 0.19981855154037476, 'redshifts/outlier_fraction_bin_4': 0.1871212124824524, 'redshifts/outlier_fraction_bin_5': 0.09300108253955841, 'redshifts/outlier_fraction_cata': 0.08797086030244827, 'redshifts/outlier_fraction_cata_bin_0': 0.13176856935024261, 'redshifts/outlier_fraction_cata_bin_1': 0.0976741686463356, 'redshifts/outlier_fraction_cata_bin_2': 0.07781457155942917, 'redshifts/outlier_fraction_cata_bin_3': 0.0576094351708889, 'redshifts/outlier_fraction_cata_bin_4': 0.05871212109923363, 'redshifts/outlier_fraction_cata_bin_5': 0.016845718026161194}\n", + "total num of pts: tensor([77479.])\n", + "total num of pts: tensor([28062., 18758., 7863., 4413., 2640., 15743.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1231/1563 [1:56:54<28:03, 5.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.075645312666893, 'redshifts/bias_abs_bin_0': 0.1445728987455368, 'redshifts/bias_abs_bin_1': 0.09070294350385666, 'redshifts/bias_abs_bin_2': 0.05935283005237579, 'redshifts/bias_abs_bin_3': 0.04804815724492073, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023774519562721252, 'redshifts/bias': 0.004532483872026205, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010604036040604115, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.538789264392108e-05, 'redshifts/mse': 0.31082436442375183, 'redshifts/mse_bin_0': 0.4369763731956482, 'redshifts/mse_bin_1': 0.36078545451164246, 'redshifts/mse_bin_2': 0.2921101748943329, 'redshifts/mse_bin_3': 0.22108814120292664, 'redshifts/mse_bin_4': 0.22981703281402588, 'redshifts/mse_bin_5': 0.0745125561952591, 'redshifts/nmad': 0.11190899461507797, 'redshifts/nmad_bin_0': 0.21154914796352386, 'redshifts/nmad_bin_1': 0.1337338536977768, 'redshifts/nmad_bin_2': 0.08809937536716461, 'redshifts/nmad_bin_3': 0.07180650532245636, 'redshifts/nmad_bin_4': 0.06404291093349457, 'redshifts/nmad_bin_5': 0.03524642065167427, 'redshifts/outlier_fraction': 0.3254559338092804, 'redshifts/outlier_fraction_bin_0': 0.4882759749889374, 'redshifts/outlier_fraction_bin_1': 0.35536837577819824, 'redshifts/outlier_fraction_bin_2': 0.2555004358291626, 'redshifts/outlier_fraction_bin_3': 0.19963742792606354, 'redshifts/outlier_fraction_bin_4': 0.1871212124824524, 'redshifts/outlier_fraction_bin_5': 0.09299371391534805, 'redshifts/outlier_fraction_cata': 0.08795931935310364, 'redshifts/outlier_fraction_cata_bin_0': 0.13170835375785828, 'redshifts/outlier_fraction_cata_bin_1': 0.09766499698162079, 'redshifts/outlier_fraction_cata_bin_2': 0.0779600664973259, 'redshifts/outlier_fraction_cata_bin_3': 0.05755721777677536, 'redshifts/outlier_fraction_cata_bin_4': 0.05871212109923363, 'redshifts/outlier_fraction_cata_bin_5': 0.016832878813147545}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1232/1563 [1:57:00<28:56, 5.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([77547.])\n", + "total num of pts: tensor([28088., 18774., 7870., 4416., 2642., 15757.])\n", + "{'redshifts/bias_abs': 0.0756286159157753, 'redshifts/bias_abs_bin_0': 0.14462150633335114, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05928907170891762, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004531309008598328, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010592401027679443, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.538789264392108e-05, 'redshifts/mse': 0.31077826023101807, 'redshifts/mse_bin_0': 0.43687352538108826, 'redshifts/mse_bin_1': 0.360878050327301, 'redshifts/mse_bin_2': 0.29202648997306824, 'redshifts/mse_bin_3': 0.22095946967601776, 'redshifts/mse_bin_4': 0.22964459657669067, 'redshifts/mse_bin_5': 0.07445231080055237, 'redshifts/nmad': 0.11190284788608551, 'redshifts/nmad_bin_0': 0.2115345001220703, 'redshifts/nmad_bin_1': 0.1337432712316513, 'redshifts/nmad_bin_2': 0.08804444223642349, 'redshifts/nmad_bin_3': 0.07173873484134674, 'redshifts/nmad_bin_4': 0.06399334222078323, 'redshifts/nmad_bin_5': 0.03523353859782219, 'redshifts/outlier_fraction': 0.32546713948249817, 'redshifts/outlier_fraction_bin_0': 0.488393634557724, 'redshifts/outlier_fraction_bin_1': 0.35538509488105774, 'redshifts/outlier_fraction_bin_2': 0.25540024042129517, 'redshifts/outlier_fraction_bin_3': 0.19950181245803833, 'redshifts/outlier_fraction_bin_4': 0.18697956204414368, 'redshifts/outlier_fraction_bin_5': 0.09291108697652817, 'redshifts/outlier_fraction_cata': 0.08793377131223679, 'redshifts/outlier_fraction_cata_bin_0': 0.1316220462322235, 'redshifts/outlier_fraction_cata_bin_1': 0.09768829494714737, 'redshifts/outlier_fraction_cata_bin_2': 0.07801778614521027, 'redshifts/outlier_fraction_cata_bin_3': 0.057518117129802704, 'redshifts/outlier_fraction_cata_bin_4': 0.05866767466068268, 'redshifts/outlier_fraction_cata_bin_5': 0.01681792177259922}\n", + "total num of pts: tensor([77614.])\n", + "total num of pts: tensor([28111., 18790., 7876., 4422., 2644., 15771.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1233/1563 [1:57:05<29:26, 5.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07562890648841858, 'redshifts/bias_abs_bin_0': 0.14462120831012726, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05928907170891762, 'redshifts/bias_abs_bin_3': 0.048095908015966415, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023790648207068443, 'redshifts/bias': 0.004554621875286102, 'redshifts/bias_bin_0': 0.029163531959056854, 'redshifts/bias_bin_1': 0.010604036040604115, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005974389147013426, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 5.655017594108358e-05, 'redshifts/mse': 0.31087449193000793, 'redshifts/mse_bin_0': 0.43704721331596375, 'redshifts/mse_bin_1': 0.3611046075820923, 'redshifts/mse_bin_2': 0.2921382486820221, 'redshifts/mse_bin_3': 0.22077570855617523, 'redshifts/mse_bin_4': 0.22947517037391663, 'redshifts/mse_bin_5': 0.07439708709716797, 'redshifts/nmad': 0.1118994951248169, 'redshifts/nmad_bin_0': 0.2115446776151657, 'redshifts/nmad_bin_1': 0.13376004993915558, 'redshifts/nmad_bin_2': 0.08804444223642349, 'redshifts/nmad_bin_3': 0.07187504321336746, 'redshifts/nmad_bin_4': 0.06400130689144135, 'redshifts/nmad_bin_5': 0.03528939560055733, 'redshifts/outlier_fraction': 0.3254438638687134, 'redshifts/outlier_fraction_bin_0': 0.4883497655391693, 'redshifts/outlier_fraction_bin_1': 0.35545504093170166, 'redshifts/outlier_fraction_bin_2': 0.25545963644981384, 'redshifts/outlier_fraction_bin_3': 0.19945725798606873, 'redshifts/outlier_fraction_bin_4': 0.18683812022209167, 'redshifts/outlier_fraction_bin_5': 0.09282860904932022, 'redshifts/outlier_fraction_cata': 0.08797381818294525, 'redshifts/outlier_fraction_cata_bin_0': 0.13172779977321625, 'redshifts/outlier_fraction_cata_bin_1': 0.09771154820919037, 'redshifts/outlier_fraction_cata_bin_2': 0.07808532565832138, 'redshifts/outlier_fraction_cata_bin_3': 0.05744007229804993, 'redshifts/outlier_fraction_cata_bin_4': 0.0586232990026474, 'redshifts/outlier_fraction_cata_bin_5': 0.016802992671728134}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1234/1563 [1:57:11<30:02, 5.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([77690.])\n", + "total num of pts: tensor([28132., 18810., 7884., 4431., 2645., 15788.])\n", + "{'redshifts/bias_abs': 0.07562890648841858, 'redshifts/bias_abs_bin_0': 0.14462150633335114, 'redshifts/bias_abs_bin_1': 0.09070512652397156, 'redshifts/bias_abs_bin_2': 0.05935283005237579, 'redshifts/bias_abs_bin_3': 0.048071518540382385, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02378266490995884, 'redshifts/bias': 0.004533535335212946, 'redshifts/bias_bin_0': 0.0291758943349123, 'redshifts/bias_bin_1': 0.01054901722818613, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005954868160188198, 'redshifts/bias_bin_4': -0.00641872501000762, 'redshifts/bias_bin_5': 5.462765693664551e-05, 'redshifts/mse': 0.31093889474868774, 'redshifts/mse_bin_0': 0.4371051788330078, 'redshifts/mse_bin_1': 0.36111313104629517, 'redshifts/mse_bin_2': 0.2925960123538971, 'redshifts/mse_bin_3': 0.22066204249858856, 'redshifts/mse_bin_4': 0.22961702942848206, 'redshifts/mse_bin_5': 0.07446935772895813, 'redshifts/nmad': 0.11191029101610184, 'redshifts/nmad_bin_0': 0.21152634918689728, 'redshifts/nmad_bin_1': 0.13378871977329254, 'redshifts/nmad_bin_2': 0.08809937536716461, 'redshifts/nmad_bin_3': 0.07177185267210007, 'redshifts/nmad_bin_4': 0.06408677995204926, 'redshifts/nmad_bin_5': 0.035261865705251694, 'redshifts/outlier_fraction': 0.3254987895488739, 'redshifts/outlier_fraction_bin_0': 0.4884117841720581, 'redshifts/outlier_fraction_bin_1': 0.35555556416511536, 'redshifts/outlier_fraction_bin_2': 0.2557077705860138, 'redshifts/outlier_fraction_bin_3': 0.1992778182029724, 'redshifts/outlier_fraction_bin_4': 0.18714556097984314, 'redshifts/outlier_fraction_bin_5': 0.09285533428192139, 'redshifts/outlier_fraction_cata': 0.08800360560417175, 'redshifts/outlier_fraction_cata_bin_0': 0.13173609972000122, 'redshifts/outlier_fraction_cata_bin_1': 0.09776714444160461, 'redshifts/outlier_fraction_cata_bin_2': 0.07813292741775513, 'redshifts/outlier_fraction_cata_bin_3': 0.05754908546805382, 'redshifts/outlier_fraction_cata_bin_4': 0.05860113352537155, 'redshifts/outlier_fraction_cata_bin_5': 0.016848240047693253}\n", + "total num of pts: tensor([77752.])\n", + "total num of pts: tensor([28152., 18821., 7893., 4438., 2649., 15799.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1235/1563 [1:57:17<31:00, 5.67s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07562003284692764, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.09070544689893723, 'redshifts/bias_abs_bin_2': 0.0593094527721405, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02376679889857769, 'redshifts/bias': 0.004531383514404297, 'redshifts/bias_bin_0': 0.029136130586266518, 'redshifts/bias_bin_1': 0.010532202199101448, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.501848499989137e-05, 'redshifts/mse': 0.3110543489456177, 'redshifts/mse_bin_0': 0.4373379349708557, 'redshifts/mse_bin_1': 0.36099785566329956, 'redshifts/mse_bin_2': 0.29255592823028564, 'redshifts/mse_bin_3': 0.22086824476718903, 'redshifts/mse_bin_4': 0.23166373372077942, 'redshifts/mse_bin_5': 0.07442016899585724, 'redshifts/nmad': 0.11188694089651108, 'redshifts/nmad_bin_0': 0.211563840508461, 'redshifts/nmad_bin_1': 0.13381341099739075, 'redshifts/nmad_bin_2': 0.08803638815879822, 'redshifts/nmad_bin_3': 0.07165934890508652, 'redshifts/nmad_bin_4': 0.06404517590999603, 'redshifts/nmad_bin_5': 0.03523304685950279, 'redshifts/outlier_fraction': 0.32549646496772766, 'redshifts/outlier_fraction_bin_0': 0.48845553398132324, 'redshifts/outlier_fraction_bin_1': 0.3555602729320526, 'redshifts/outlier_fraction_bin_2': 0.25566959381103516, 'redshifts/outlier_fraction_bin_3': 0.19918882846832275, 'redshifts/outlier_fraction_bin_4': 0.1876179724931717, 'redshifts/outlier_fraction_bin_5': 0.09279068559408188, 'redshifts/outlier_fraction_cata': 0.08803632110357285, 'redshifts/outlier_fraction_cata_bin_0': 0.13182011246681213, 'redshifts/outlier_fraction_cata_bin_1': 0.0977100059390068, 'redshifts/outlier_fraction_cata_bin_2': 0.0781705304980278, 'redshifts/outlier_fraction_cata_bin_3': 0.05768364295363426, 'redshifts/outlier_fraction_cata_bin_4': 0.058890148997306824, 'redshifts/outlier_fraction_cata_bin_5': 0.016836509108543396}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1236/1563 [1:57:23<31:31, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([77812.])\n", + "total num of pts: tensor([28173., 18835., 7905., 4443., 2651., 15805.])\n", + "{'redshifts/bias_abs': 0.07560450583696365, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09070294350385666, 'redshifts/bias_abs_bin_2': 0.05928907170891762, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.0045310258865356445, 'redshifts/bias_bin_0': 0.029139293357729912, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006448308937251568, 'redshifts/bias_bin_5': 5.538789264392108e-05, 'redshifts/mse': 0.3110143542289734, 'redshifts/mse_bin_0': 0.4373301863670349, 'redshifts/mse_bin_1': 0.3608209490776062, 'redshifts/mse_bin_2': 0.2927168011665344, 'redshifts/mse_bin_3': 0.22063280642032623, 'redshifts/mse_bin_4': 0.23149389028549194, 'redshifts/mse_bin_5': 0.07439243048429489, 'redshifts/nmad': 0.11186996847391129, 'redshifts/nmad_bin_0': 0.21158060431480408, 'redshifts/nmad_bin_1': 0.13379663228988647, 'redshifts/nmad_bin_2': 0.08802209049463272, 'redshifts/nmad_bin_3': 0.07165934890508652, 'redshifts/nmad_bin_4': 0.06404517590999603, 'redshifts/nmad_bin_5': 0.03523249924182892, 'redshifts/outlier_fraction': 0.3254767954349518, 'redshifts/outlier_fraction_bin_0': 0.48855286836624146, 'redshifts/outlier_fraction_bin_1': 0.35545527935028076, 'redshifts/outlier_fraction_bin_2': 0.25553447008132935, 'redshifts/outlier_fraction_bin_3': 0.1989646703004837, 'redshifts/outlier_fraction_bin_4': 0.18747642636299133, 'redshifts/outlier_fraction_bin_5': 0.09275545924901962, 'redshifts/outlier_fraction_cata': 0.08801984041929245, 'redshifts/outlier_fraction_cata_bin_0': 0.1317928582429886, 'redshifts/outlier_fraction_cata_bin_1': 0.09769047051668167, 'redshifts/outlier_fraction_cata_bin_2': 0.07817836850881577, 'redshifts/outlier_fraction_cata_bin_3': 0.057618726044893265, 'redshifts/outlier_fraction_cata_bin_4': 0.05884571745991707, 'redshifts/outlier_fraction_cata_bin_5': 0.016830116510391235}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1237/1563 [1:57:29<32:07, 5.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([77871.])\n", + "total num of pts: tensor([28196., 18846., 7907., 4448., 2653., 15821.])\n", + "{'redshifts/bias_abs': 0.07559318840503693, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05928907170891762, 'redshifts/bias_abs_bin_3': 0.04772459715604782, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004522162023931742, 'redshifts/bias_bin_0': 0.029075583443045616, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.0064806160517036915, 'redshifts/bias_bin_5': 6.211790605448186e-05, 'redshifts/mse': 0.3110434114933014, 'redshifts/mse_bin_0': 0.4372929334640503, 'redshifts/mse_bin_1': 0.36114683747291565, 'redshifts/mse_bin_2': 0.29277390241622925, 'redshifts/mse_bin_3': 0.22039484977722168, 'redshifts/mse_bin_4': 0.23134353756904602, 'redshifts/mse_bin_5': 0.0743393748998642, 'redshifts/nmad': 0.11185137182474136, 'redshifts/nmad_bin_0': 0.2116018533706665, 'redshifts/nmad_bin_1': 0.13379418849945068, 'redshifts/nmad_bin_2': 0.08802209049463272, 'redshifts/nmad_bin_3': 0.07161017507314682, 'redshifts/nmad_bin_4': 0.06405362486839294, 'redshifts/nmad_bin_5': 0.035208817571401596, 'redshifts/outlier_fraction': 0.32544851303100586, 'redshifts/outlier_fraction_bin_0': 0.4885444641113281, 'redshifts/outlier_fraction_bin_1': 0.3554600477218628, 'redshifts/outlier_fraction_bin_2': 0.2555963099002838, 'redshifts/outlier_fraction_bin_3': 0.19874100387096405, 'redshifts/outlier_fraction_bin_4': 0.1873350888490677, 'redshifts/outlier_fraction_bin_5': 0.09272485971450806, 'redshifts/outlier_fraction_cata': 0.08805588632822037, 'redshifts/outlier_fraction_cata_bin_0': 0.13186267018318176, 'redshifts/outlier_fraction_cata_bin_1': 0.0977395698428154, 'redshifts/outlier_fraction_cata_bin_2': 0.07828506082296371, 'redshifts/outlier_fraction_cata_bin_3': 0.057553958147764206, 'redshifts/outlier_fraction_cata_bin_4': 0.058801356703042984, 'redshifts/outlier_fraction_cata_bin_5': 0.016813095659017563}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1238/1563 [1:57:35<31:11, 5.76s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([77940.])\n", + "total num of pts: tensor([28218., 18864., 7916., 4453., 2656., 15833.])\n", + "{'redshifts/bias_abs': 0.07559017091989517, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.09068688750267029, 'redshifts/bias_abs_bin_2': 0.05928907170891762, 'redshifts/bias_abs_bin_3': 0.04778711125254631, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023757752031087875, 'redshifts/bias': 0.0045113894157111645, 'redshifts/bias_bin_0': 0.028993980959057808, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 6.532659608637914e-05, 'redshifts/mse': 0.31102484464645386, 'redshifts/mse_bin_0': 0.4370943307876587, 'redshifts/mse_bin_1': 0.36109089851379395, 'redshifts/mse_bin_2': 0.2937287390232086, 'redshifts/mse_bin_3': 0.22020135819911957, 'redshifts/mse_bin_4': 0.23111309111118317, 'redshifts/mse_bin_5': 0.07428548485040665, 'redshifts/nmad': 0.11184880882501602, 'redshifts/nmad_bin_0': 0.21162161231040955, 'redshifts/nmad_bin_1': 0.13379418849945068, 'redshifts/nmad_bin_2': 0.08804444223642349, 'redshifts/nmad_bin_3': 0.07163086533546448, 'redshifts/nmad_bin_4': 0.06411071121692657, 'redshifts/nmad_bin_5': 0.035191912204027176, 'redshifts/outlier_fraction': 0.3254554867744446, 'redshifts/outlier_fraction_bin_0': 0.48851796984672546, 'redshifts/outlier_fraction_bin_1': 0.35554495453834534, 'redshifts/outlier_fraction_bin_2': 0.2556847035884857, 'redshifts/outlier_fraction_bin_3': 0.19874241948127747, 'redshifts/outlier_fraction_bin_4': 0.1875, 'redshifts/outlier_fraction_bin_5': 0.09265458583831787, 'redshifts/outlier_fraction_cata': 0.08802925050258636, 'redshifts/outlier_fraction_cata_bin_0': 0.13179530203342438, 'redshifts/outlier_fraction_cata_bin_1': 0.09769932180643082, 'redshifts/outlier_fraction_cata_bin_2': 0.07844871282577515, 'redshifts/outlier_fraction_cata_bin_3': 0.05748933181166649, 'redshifts/outlier_fraction_cata_bin_4': 0.05873493850231171, 'redshifts/outlier_fraction_cata_bin_5': 0.016800353303551674}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1239/1563 [1:57:39<29:30, 5.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([77998.])\n", + "total num of pts: tensor([28236., 18882., 7923., 4454., 2660., 15843.])\n", + "{'redshifts/bias_abs': 0.07558684796094894, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09065880626440048, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04772459715604782, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.00451100105419755, 'redshifts/bias_bin_0': 0.029004806652665138, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005931491032242775, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 6.532659608637914e-05, 'redshifts/mse': 0.31099534034729004, 'redshifts/mse_bin_0': 0.43711259961128235, 'redshifts/mse_bin_1': 0.36086928844451904, 'redshifts/mse_bin_2': 0.2936007082462311, 'redshifts/mse_bin_3': 0.22015206515789032, 'redshifts/mse_bin_4': 0.2318064123392105, 'redshifts/mse_bin_5': 0.07431597262620926, 'redshifts/nmad': 0.11184938251972198, 'redshifts/nmad_bin_0': 0.21165713667869568, 'redshifts/nmad_bin_1': 0.133690744638443, 'redshifts/nmad_bin_2': 0.08799197524785995, 'redshifts/nmad_bin_3': 0.07161017507314682, 'redshifts/nmad_bin_4': 0.06411486119031906, 'redshifts/nmad_bin_5': 0.03520405665040016, 'redshifts/outlier_fraction': 0.32545706629753113, 'redshifts/outlier_fraction_bin_0': 0.4885607063770294, 'redshifts/outlier_fraction_bin_1': 0.35547080636024475, 'redshifts/outlier_fraction_bin_2': 0.2555850148200989, 'redshifts/outlier_fraction_bin_3': 0.19869780540466309, 'redshifts/outlier_fraction_bin_4': 0.18796992301940918, 'redshifts/outlier_fraction_bin_5': 0.09265922009944916, 'redshifts/outlier_fraction_cata': 0.08804071694612503, 'redshifts/outlier_fraction_cata_bin_0': 0.13185295462608337, 'redshifts/outlier_fraction_cata_bin_1': 0.09760618209838867, 'redshifts/outlier_fraction_cata_bin_2': 0.07837940007448196, 'redshifts/outlier_fraction_cata_bin_3': 0.05747642740607262, 'redshifts/outlier_fraction_cata_bin_4': 0.059022556990385056, 'redshifts/outlier_fraction_cata_bin_5': 0.01685286872088909}\n", + "total num of pts: tensor([78060.])\n", + "total num of pts: tensor([28271., 18897., 7926., 4455., 2661., 15850.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1240/1563 [1:57:44<28:02, 5.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07562150806188583, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.09070294350385666, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04778711125254631, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004497987683862448, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.00592087535187602, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 7.76397719164379e-05, 'redshifts/mse': 0.31107842922210693, 'redshifts/mse_bin_0': 0.43722090125083923, 'redshifts/mse_bin_1': 0.36082568764686584, 'redshifts/mse_bin_2': 0.29349443316459656, 'redshifts/mse_bin_3': 0.22022926807403564, 'redshifts/mse_bin_4': 0.23172204196453094, 'redshifts/mse_bin_5': 0.07442277669906616, 'redshifts/nmad': 0.11191000044345856, 'redshifts/nmad_bin_0': 0.2117164134979248, 'redshifts/nmad_bin_1': 0.13379479944705963, 'redshifts/nmad_bin_2': 0.08797270804643631, 'redshifts/nmad_bin_3': 0.07161512970924377, 'redshifts/nmad_bin_4': 0.06411486119031906, 'redshifts/nmad_bin_5': 0.03519950807094574, 'redshifts/outlier_fraction': 0.325582891702652, 'redshifts/outlier_fraction_bin_0': 0.48862791061401367, 'redshifts/outlier_fraction_bin_1': 0.3556649088859558, 'redshifts/outlier_fraction_bin_2': 0.2554882764816284, 'redshifts/outlier_fraction_bin_3': 0.19887766242027283, 'redshifts/outlier_fraction_bin_4': 0.18789929151535034, 'redshifts/outlier_fraction_bin_5': 0.092681385576725, 'redshifts/outlier_fraction_cata': 0.08811170607805252, 'redshifts/outlier_fraction_cata_bin_0': 0.13200806081295013, 'redshifts/outlier_fraction_cata_bin_1': 0.09758162498474121, 'redshifts/outlier_fraction_cata_bin_2': 0.07834973186254501, 'redshifts/outlier_fraction_cata_bin_3': 0.057463523000478745, 'redshifts/outlier_fraction_cata_bin_4': 0.05900037661194801, 'redshifts/outlier_fraction_cata_bin_5': 0.016908517107367516}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1241/1563 [1:57:49<27:18, 5.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([78128.])\n", + "total num of pts: tensor([28295., 18914., 7932., 4459., 2668., 15860.])\n", + "{'redshifts/bias_abs': 0.0756223276257515, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.047803811728954315, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.00451100105419755, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005912951659411192, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 7.882634236011654e-05, 'redshifts/mse': 0.3110903799533844, 'redshifts/mse_bin_0': 0.4372406005859375, 'redshifts/mse_bin_1': 0.36057087779045105, 'redshifts/mse_bin_2': 0.2936638295650482, 'redshifts/mse_bin_3': 0.2208816260099411, 'redshifts/mse_bin_4': 0.23215718567371368, 'redshifts/mse_bin_5': 0.0743786171078682, 'redshifts/nmad': 0.1119171604514122, 'redshifts/nmad_bin_0': 0.21173126995563507, 'redshifts/nmad_bin_1': 0.1337471902370453, 'redshifts/nmad_bin_2': 0.08798756450414658, 'redshifts/nmad_bin_3': 0.07164764404296875, 'redshifts/nmad_bin_4': 0.06407178193330765, 'redshifts/nmad_bin_5': 0.03519774600863457, 'redshifts/outlier_fraction': 0.32559388875961304, 'redshifts/outlier_fraction_bin_0': 0.4887789487838745, 'redshifts/outlier_fraction_bin_1': 0.35545098781585693, 'redshifts/outlier_fraction_bin_2': 0.25567322969436646, 'redshifts/outlier_fraction_bin_3': 0.1989235281944275, 'redshifts/outlier_fraction_bin_4': 0.18778111040592194, 'redshifts/outlier_fraction_bin_5': 0.09262295067310333, 'redshifts/outlier_fraction_cata': 0.0881374180316925, 'redshifts/outlier_fraction_cata_bin_0': 0.1320374608039856, 'redshifts/outlier_fraction_cata_bin_1': 0.09749391674995422, 'redshifts/outlier_fraction_cata_bin_2': 0.07854261249303818, 'redshifts/outlier_fraction_cata_bin_3': 0.05763624235987663, 'redshifts/outlier_fraction_cata_bin_4': 0.059220388531684875, 'redshifts/outlier_fraction_cata_bin_5': 0.016897855326533318}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 79%|███████▉ | 1242/1563 [1:57:53<26:03, 4.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([78185.])\n", + "total num of pts: tensor([28314., 18928., 7937., 4465., 2670., 15871.])\n", + "{'redshifts/bias_abs': 0.07560450583696365, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.09061044454574585, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04778711125254631, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004516751039773226, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.010531975887715816, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 7.882634236011654e-05, 'redshifts/mse': 0.3110710084438324, 'redshifts/mse_bin_0': 0.43744829297065735, 'redshifts/mse_bin_1': 0.36037808656692505, 'redshifts/mse_bin_2': 0.2934816777706146, 'redshifts/mse_bin_3': 0.22060255706310272, 'redshifts/mse_bin_4': 0.23198406398296356, 'redshifts/mse_bin_5': 0.07436025887727737, 'redshifts/nmad': 0.11188126355409622, 'redshifts/nmad_bin_0': 0.21173126995563507, 'redshifts/nmad_bin_1': 0.133649080991745, 'redshifts/nmad_bin_2': 0.08797799050807953, 'redshifts/nmad_bin_3': 0.07170512527227402, 'redshifts/nmad_bin_4': 0.06402711570262909, 'redshifts/nmad_bin_5': 0.035195644944906235, 'redshifts/outlier_fraction': 0.325548380613327, 'redshifts/outlier_fraction_bin_0': 0.4888041317462921, 'redshifts/outlier_fraction_bin_1': 0.35529375076293945, 'redshifts/outlier_fraction_bin_2': 0.25551214814186096, 'redshifts/outlier_fraction_bin_3': 0.19865621626377106, 'redshifts/outlier_fraction_bin_4': 0.18764044344425201, 'redshifts/outlier_fraction_bin_5': 0.0927477777004242, 'redshifts/outlier_fraction_cata': 0.08812431991100311, 'redshifts/outlier_fraction_cata_bin_0': 0.13209013640880585, 'redshifts/outlier_fraction_cata_bin_1': 0.0974218100309372, 'redshifts/outlier_fraction_cata_bin_2': 0.078493133187294, 'redshifts/outlier_fraction_cata_bin_3': 0.05755878984928131, 'redshifts/outlier_fraction_cata_bin_4': 0.05917603150010109, 'redshifts/outlier_fraction_cata_bin_5': 0.016886144876480103}\n", + "total num of pts: tensor([78250.])\n", + "total num of pts: tensor([28341., 18946., 7943., 4466., 2670., 15884.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|███████▉ | 1243/1563 [1:57:59<26:46, 5.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07559908926486969, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.09065252542495728, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04772459715604782, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004511718172580004, 'redshifts/bias_bin_0': 0.029021700844168663, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 6.341078551486135e-05, 'redshifts/mse': 0.3110606074333191, 'redshifts/mse_bin_0': 0.437430202960968, 'redshifts/mse_bin_1': 0.36035192012786865, 'redshifts/mse_bin_2': 0.2935168743133545, 'redshifts/mse_bin_3': 0.22055329382419586, 'redshifts/mse_bin_4': 0.23198406398296356, 'redshifts/mse_bin_5': 0.07430405169725418, 'redshifts/nmad': 0.1118738055229187, 'redshifts/nmad_bin_0': 0.21167384088039398, 'redshifts/nmad_bin_1': 0.13365991413593292, 'redshifts/nmad_bin_2': 0.0879841223359108, 'redshifts/nmad_bin_3': 0.071681909263134, 'redshifts/nmad_bin_4': 0.06402711570262909, 'redshifts/nmad_bin_5': 0.03517278656363487, 'redshifts/outlier_fraction': 0.3255591094493866, 'redshifts/outlier_fraction_bin_0': 0.4886913001537323, 'redshifts/outlier_fraction_bin_1': 0.3554312288761139, 'redshifts/outlier_fraction_bin_2': 0.2556968331336975, 'redshifts/outlier_fraction_bin_3': 0.19861173629760742, 'redshifts/outlier_fraction_bin_4': 0.18764044344425201, 'redshifts/outlier_fraction_bin_5': 0.09267187118530273, 'redshifts/outlier_fraction_cata': 0.08811501413583755, 'redshifts/outlier_fraction_cata_bin_0': 0.1320701390504837, 'redshifts/outlier_fraction_cata_bin_1': 0.09738203138113022, 'redshifts/outlier_fraction_cata_bin_2': 0.0785597413778305, 'redshifts/outlier_fraction_cata_bin_3': 0.05754590407013893, 'redshifts/outlier_fraction_cata_bin_4': 0.05917603150010109, 'redshifts/outlier_fraction_cata_bin_5': 0.01687232404947281}\n", + "total num of pts: tensor([78319.])\n", + "total num of pts: tensor([28369., 18967., 7948., 4466., 2671., 15898.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|███████▉ | 1244/1563 [1:58:04<27:15, 5.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07562150806188583, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.0906752273440361, 'redshifts/bias_abs_bin_2': 0.05928624048829079, 'redshifts/bias_abs_bin_3': 0.04772459715604782, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023761305958032608, 'redshifts/bias': 0.0045113894157111645, 'redshifts/bias_bin_0': 0.029070332646369934, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 6.341078551486135e-05, 'redshifts/mse': 0.31131741404533386, 'redshifts/mse_bin_0': 0.4374343156814575, 'redshifts/mse_bin_1': 0.36088764667510986, 'redshifts/mse_bin_2': 0.2945142388343811, 'redshifts/mse_bin_3': 0.22055329382419586, 'redshifts/mse_bin_4': 0.2319098263978958, 'redshifts/mse_bin_5': 0.07436791062355042, 'redshifts/nmad': 0.1118863895535469, 'redshifts/nmad_bin_0': 0.2116367369890213, 'redshifts/nmad_bin_1': 0.13371886312961578, 'redshifts/nmad_bin_2': 0.08792388439178467, 'redshifts/nmad_bin_3': 0.071681909263134, 'redshifts/nmad_bin_4': 0.06407178193330765, 'redshifts/nmad_bin_5': 0.03522060438990593, 'redshifts/outlier_fraction': 0.3256170153617859, 'redshifts/outlier_fraction_bin_0': 0.4887024462223053, 'redshifts/outlier_fraction_bin_1': 0.35551220178604126, 'redshifts/outlier_fraction_bin_2': 0.25578761100769043, 'redshifts/outlier_fraction_bin_3': 0.19861173629760742, 'redshifts/outlier_fraction_bin_4': 0.18757019937038422, 'redshifts/outlier_fraction_bin_5': 0.09271606802940369, 'redshifts/outlier_fraction_cata': 0.08820337057113647, 'redshifts/outlier_fraction_cata_bin_0': 0.13211604952812195, 'redshifts/outlier_fraction_cata_bin_1': 0.09759055078029633, 'redshifts/outlier_fraction_cata_bin_2': 0.07863613218069077, 'redshifts/outlier_fraction_cata_bin_3': 0.05754590407013893, 'redshifts/outlier_fraction_cata_bin_4': 0.05915387347340584, 'redshifts/outlier_fraction_cata_bin_5': 0.016920367255806923}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|███████▉ | 1245/1563 [1:58:09<27:26, 5.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([78375.])\n", + "total num of pts: tensor([28387., 18981., 7956., 4467., 2674., 15910.])\n", + "{'redshifts/bias_abs': 0.07561676949262619, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.09065880626440048, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04772459715604782, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004509334452450275, 'redshifts/bias_bin_0': 0.029004806652665138, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005797578953206539, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 7.918477058410645e-05, 'redshifts/mse': 0.3112732172012329, 'redshifts/mse_bin_0': 0.4372732639312744, 'redshifts/mse_bin_1': 0.36101844906806946, 'redshifts/mse_bin_2': 0.29453539848327637, 'redshifts/mse_bin_3': 0.22050456702709198, 'redshifts/mse_bin_4': 0.23184151947498322, 'redshifts/mse_bin_5': 0.07431744039058685, 'redshifts/nmad': 0.11188080906867981, 'redshifts/nmad_bin_0': 0.21167151629924774, 'redshifts/nmad_bin_1': 0.1337129771709442, 'redshifts/nmad_bin_2': 0.08795353770256042, 'redshifts/nmad_bin_3': 0.071681909263134, 'redshifts/nmad_bin_4': 0.06402449309825897, 'redshifts/nmad_bin_5': 0.035196173936128616, 'redshifts/outlier_fraction': 0.3256140351295471, 'redshifts/outlier_fraction_bin_0': 0.48870962858200073, 'redshifts/outlier_fraction_bin_1': 0.3554607331752777, 'redshifts/outlier_fraction_bin_2': 0.25590750575065613, 'redshifts/outlier_fraction_bin_3': 0.19856727123260498, 'redshifts/outlier_fraction_bin_4': 0.1877337396144867, 'redshifts/outlier_fraction_bin_5': 0.09270898997783661, 'redshifts/outlier_fraction_cata': 0.08817862719297409, 'redshifts/outlier_fraction_cata_bin_0': 0.13203227519989014, 'redshifts/outlier_fraction_cata_bin_1': 0.09762393683195114, 'redshifts/outlier_fraction_cata_bin_2': 0.07868275791406631, 'redshifts/outlier_fraction_cata_bin_3': 0.05753301829099655, 'redshifts/outlier_fraction_cata_bin_4': 0.05908751115202904, 'redshifts/outlier_fraction_cata_bin_5': 0.016907604411244392}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|███████▉ | 1246/1563 [1:58:15<27:53, 5.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([78426.])\n", + "total num of pts: tensor([28401., 18995., 7959., 4471., 2675., 15925.])\n", + "{'redshifts/bias_abs': 0.07560035586357117, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09061809629201889, 'redshifts/bias_abs_bin_2': 0.05928855761885643, 'redshifts/bias_abs_bin_3': 0.04772459715604782, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004492044448852539, 'redshifts/bias_bin_0': 0.028984561562538147, 'redshifts/bias_bin_1': 0.010412849485874176, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 7.882634236011654e-05, 'redshifts/mse': 0.31121885776519775, 'redshifts/mse_bin_0': 0.4372539520263672, 'redshifts/mse_bin_1': 0.36100584268569946, 'redshifts/mse_bin_2': 0.2944297790527344, 'redshifts/mse_bin_3': 0.22031687200069427, 'redshifts/mse_bin_4': 0.2317548394203186, 'redshifts/mse_bin_5': 0.07431922107934952, 'redshifts/nmad': 0.11185771226882935, 'redshifts/nmad_bin_0': 0.21172888576984406, 'redshifts/nmad_bin_1': 0.1336364597082138, 'redshifts/nmad_bin_2': 0.08793899416923523, 'redshifts/nmad_bin_3': 0.0716957226395607, 'redshifts/nmad_bin_4': 0.06398141384124756, 'redshifts/nmad_bin_5': 0.035195644944906235, 'redshifts/outlier_fraction': 0.32561904191970825, 'redshifts/outlier_fraction_bin_0': 0.48889124393463135, 'redshifts/outlier_fraction_bin_1': 0.35540932416915894, 'redshifts/outlier_fraction_bin_2': 0.25581103563308716, 'redshifts/outlier_fraction_bin_3': 0.19838961958885193, 'redshifts/outlier_fraction_bin_4': 0.18766355514526367, 'redshifts/outlier_fraction_bin_5': 0.09268445521593094, 'redshifts/outlier_fraction_cata': 0.08818504214286804, 'redshifts/outlier_fraction_cata_bin_0': 0.13203760981559753, 'redshifts/outlier_fraction_cata_bin_1': 0.09765727818012238, 'redshifts/outlier_fraction_cata_bin_2': 0.07865309715270996, 'redshifts/outlier_fraction_cata_bin_3': 0.0574815459549427, 'redshifts/outlier_fraction_cata_bin_4': 0.05906542018055916, 'redshifts/outlier_fraction_cata_bin_5': 0.01695447415113449}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|███████▉ | 1247/1563 [1:58:20<27:27, 5.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([78503.])\n", + "total num of pts: tensor([28420., 19012., 7968., 4476., 2679., 15948.])\n", + "{'redshifts/bias_abs': 0.07559017091989517, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09061044454574585, 'redshifts/bias_abs_bin_2': 0.0592229887843132, 'redshifts/bias_abs_bin_3': 0.04772459715604782, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023759951815009117, 'redshifts/bias': 0.004506967030465603, 'redshifts/bias_bin_0': 0.028989611193537712, 'redshifts/bias_bin_1': 0.010441378690302372, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00010164400737266988, 'redshifts/mse': 0.3111099898815155, 'redshifts/mse_bin_0': 0.4372873604297638, 'redshifts/mse_bin_1': 0.3608396053314209, 'redshifts/mse_bin_2': 0.2943952679634094, 'redshifts/mse_bin_3': 0.22015702724456787, 'redshifts/mse_bin_4': 0.23144707083702087, 'redshifts/mse_bin_5': 0.07423222064971924, 'redshifts/nmad': 0.11184699833393097, 'redshifts/nmad_bin_0': 0.21172140538692474, 'redshifts/nmad_bin_1': 0.13361583650112152, 'redshifts/nmad_bin_2': 0.08783616125583649, 'redshifts/nmad_bin_3': 0.0716957226395607, 'redshifts/nmad_bin_4': 0.06408502161502838, 'redshifts/nmad_bin_5': 0.03520924597978592, 'redshifts/outlier_fraction': 0.32555443048477173, 'redshifts/outlier_fraction_bin_0': 0.4888458847999573, 'redshifts/outlier_fraction_bin_1': 0.35540711879730225, 'redshifts/outlier_fraction_bin_2': 0.2557730972766876, 'redshifts/outlier_fraction_bin_3': 0.19861483573913574, 'redshifts/outlier_fraction_bin_4': 0.18775662779808044, 'redshifts/outlier_fraction_bin_5': 0.09261349588632584, 'redshifts/outlier_fraction_cata': 0.0881749764084816, 'redshifts/outlier_fraction_cata_bin_0': 0.1320548951625824, 'redshifts/outlier_fraction_cata_bin_1': 0.0976751521229744, 'redshifts/outlier_fraction_cata_bin_2': 0.07868976145982742, 'redshifts/outlier_fraction_cata_bin_3': 0.057417336851358414, 'redshifts/outlier_fraction_cata_bin_4': 0.05897723138332367, 'redshifts/outlier_fraction_cata_bin_5': 0.016930023208260536}\n", + "total num of pts: tensor([78571.])\n", + "total num of pts: tensor([28443., 19037., 7973., 4478., 2679., 15961.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|███████▉ | 1248/1563 [1:58:25<27:55, 5.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07558293640613556, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09055690467357635, 'redshifts/bias_abs_bin_2': 0.05923213064670563, 'redshifts/bias_abs_bin_3': 0.04756192862987518, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023764729499816895, 'redshifts/bias': 0.004516751039773226, 'redshifts/bias_bin_0': 0.028993980959057808, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.31110358238220215, 'redshifts/mse_bin_0': 0.43722590804100037, 'redshifts/mse_bin_1': 0.3608570396900177, 'redshifts/mse_bin_2': 0.2945672869682312, 'redshifts/mse_bin_3': 0.22005902230739594, 'redshifts/mse_bin_4': 0.23144707083702087, 'redshifts/mse_bin_5': 0.07418075203895569, 'redshifts/nmad': 0.11184334754943848, 'redshifts/nmad_bin_0': 0.21178047358989716, 'redshifts/nmad_bin_1': 0.13355807960033417, 'redshifts/nmad_bin_2': 0.08785415440797806, 'redshifts/nmad_bin_3': 0.0715990960597992, 'redshifts/nmad_bin_4': 0.06408502161502838, 'redshifts/nmad_bin_5': 0.03522199019789696, 'redshifts/outlier_fraction': 0.3255908787250519, 'redshifts/outlier_fraction_bin_0': 0.4888724684715271, 'redshifts/outlier_fraction_bin_1': 0.35546568036079407, 'redshifts/outlier_fraction_bin_2': 0.2558635473251343, 'redshifts/outlier_fraction_bin_3': 0.19852612912654877, 'redshifts/outlier_fraction_bin_4': 0.18775662779808044, 'redshifts/outlier_fraction_bin_5': 0.09260071069002151, 'redshifts/outlier_fraction_cata': 0.08816229552030563, 'redshifts/outlier_fraction_cata_bin_0': 0.13205358386039734, 'redshifts/outlier_fraction_cata_bin_1': 0.09759940952062607, 'redshifts/outlier_fraction_cata_bin_2': 0.07876583188772202, 'redshifts/outlier_fraction_cata_bin_3': 0.0573916919529438, 'redshifts/outlier_fraction_cata_bin_4': 0.05897723138332367, 'redshifts/outlier_fraction_cata_bin_5': 0.01691623404622078}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|███████▉ | 1249/1563 [1:58:32<29:13, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([78640.])\n", + "total num of pts: tensor([28463., 19055., 7984., 4486., 2682., 15970.])\n", + "{'redshifts/bias_abs': 0.07557042688131332, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05920620262622833, 'redshifts/bias_abs_bin_3': 0.04772459715604782, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023761305958032608, 'redshifts/bias': 0.004519693553447723, 'redshifts/bias_bin_0': 0.029004806652665138, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.0001227297616424039, 'redshifts/mse': 0.31126150488853455, 'redshifts/mse_bin_0': 0.43744969367980957, 'redshifts/mse_bin_1': 0.3609093427658081, 'redshifts/mse_bin_2': 0.2941780984401703, 'redshifts/mse_bin_3': 0.22214777767658234, 'redshifts/mse_bin_4': 0.23118853569030762, 'redshifts/mse_bin_5': 0.07413975894451141, 'redshifts/nmad': 0.1118364930152893, 'redshifts/nmad_bin_0': 0.21179983019828796, 'redshifts/nmad_bin_1': 0.13362416625022888, 'redshifts/nmad_bin_2': 0.08781742304563522, 'redshifts/nmad_bin_3': 0.0716957226395607, 'redshifts/nmad_bin_4': 0.06387817859649658, 'redshifts/nmad_bin_5': 0.03521145135164261, 'redshifts/outlier_fraction': 0.32558494806289673, 'redshifts/outlier_fraction_bin_0': 0.48895058035850525, 'redshifts/outlier_fraction_bin_1': 0.35554972290992737, 'redshifts/outlier_fraction_bin_2': 0.25551101565361023, 'redshifts/outlier_fraction_bin_3': 0.19861792027950287, 'redshifts/outlier_fraction_bin_4': 0.18754661083221436, 'redshifts/outlier_fraction_bin_5': 0.09254852682352066, 'redshifts/outlier_fraction_cata': 0.08821210265159607, 'redshifts/outlier_fraction_cata_bin_0': 0.13217158615589142, 'redshifts/outlier_fraction_cata_bin_1': 0.0976121723651886, 'redshifts/outlier_fraction_cata_bin_2': 0.07865731418132782, 'redshifts/outlier_fraction_cata_bin_3': 0.057735174894332886, 'redshifts/outlier_fraction_cata_bin_4': 0.05891126021742821, 'redshifts/outlier_fraction_cata_bin_5': 0.016906699165701866}\n", + "total num of pts: tensor([78707.])\n", + "total num of pts: tensor([28490., 19065., 7989., 4489., 2684., 15990.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|███████▉ | 1250/1563 [1:58:38<30:09, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07555018365383148, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.09058623015880585, 'redshifts/bias_abs_bin_2': 0.05919666588306427, 'redshifts/bias_abs_bin_3': 0.04772459715604782, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.004522055387496948, 'redshifts/bias_bin_0': 0.029075583443045616, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00010164400737266988, 'redshifts/mse': 0.3110966086387634, 'redshifts/mse_bin_0': 0.43723708391189575, 'redshifts/mse_bin_1': 0.36082661151885986, 'redshifts/mse_bin_2': 0.29399827122688293, 'redshifts/mse_bin_3': 0.2220028042793274, 'redshifts/mse_bin_4': 0.23101840913295746, 'redshifts/mse_bin_5': 0.07404913753271103, 'redshifts/nmad': 0.11180773377418518, 'redshifts/nmad_bin_0': 0.21168959140777588, 'redshifts/nmad_bin_1': 0.13363555073738098, 'redshifts/nmad_bin_2': 0.08783882856369019, 'redshifts/nmad_bin_3': 0.07161716371774673, 'redshifts/nmad_bin_4': 0.06377612799406052, 'redshifts/nmad_bin_5': 0.035192158073186874, 'redshifts/outlier_fraction': 0.3254602551460266, 'redshifts/outlier_fraction_bin_0': 0.48876798152923584, 'redshifts/outlier_fraction_bin_1': 0.35557302832603455, 'redshifts/outlier_fraction_bin_2': 0.25535109639167786, 'redshifts/outlier_fraction_bin_3': 0.19848518073558807, 'redshifts/outlier_fraction_bin_4': 0.18740685284137726, 'redshifts/outlier_fraction_bin_5': 0.09243276715278625, 'redshifts/outlier_fraction_cata': 0.08814971894025803, 'redshifts/outlier_fraction_cata_bin_0': 0.13208143413066864, 'redshifts/outlier_fraction_cata_bin_1': 0.09756097197532654, 'redshifts/outlier_fraction_cata_bin_2': 0.07860808819532394, 'redshifts/outlier_fraction_cata_bin_3': 0.057696592062711716, 'redshifts/outlier_fraction_cata_bin_4': 0.05886736139655113, 'redshifts/outlier_fraction_cata_bin_5': 0.016885552555322647}\n", + "total num of pts: tensor([78770.])\n", + "total num of pts: tensor([28504., 19086., 7994., 4493., 2684., 16009.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|████████ | 1251/1563 [1:58:48<36:46, 7.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07551934570074081, 'redshifts/bias_abs_bin_0': 0.14477525651454926, 'redshifts/bias_abs_bin_1': 0.09052722901105881, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04756192862987518, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023757992312312126, 'redshifts/bias': 0.00452159671112895, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.3110158145427704, 'redshifts/mse_bin_0': 0.43726983666419983, 'redshifts/mse_bin_1': 0.3607346713542938, 'redshifts/mse_bin_2': 0.2938264012336731, 'redshifts/mse_bin_3': 0.2218073606491089, 'redshifts/mse_bin_4': 0.23101840913295746, 'redshifts/mse_bin_5': 0.0739772692322731, 'redshifts/nmad': 0.11175807565450668, 'redshifts/nmad_bin_0': 0.21171359717845917, 'redshifts/nmad_bin_1': 0.13355045020580292, 'redshifts/nmad_bin_2': 0.08773556351661682, 'redshifts/nmad_bin_3': 0.07149048894643784, 'redshifts/nmad_bin_4': 0.06377612799406052, 'redshifts/nmad_bin_5': 0.035194866359233856, 'redshifts/outlier_fraction': 0.32536497712135315, 'redshifts/outlier_fraction_bin_0': 0.48877349495887756, 'redshifts/outlier_fraction_bin_1': 0.3554437756538391, 'redshifts/outlier_fraction_bin_2': 0.2551913857460022, 'redshifts/outlier_fraction_bin_3': 0.19830848276615143, 'redshifts/outlier_fraction_bin_4': 0.18740685284137726, 'redshifts/outlier_fraction_bin_5': 0.09238553047180176, 'redshifts/outlier_fraction_cata': 0.08812999725341797, 'redshifts/outlier_fraction_cata_bin_0': 0.13208672404289246, 'redshifts/outlier_fraction_cata_bin_1': 0.0975584164261818, 'redshifts/outlier_fraction_cata_bin_2': 0.07855892181396484, 'redshifts/outlier_fraction_cata_bin_3': 0.05764522776007652, 'redshifts/outlier_fraction_cata_bin_4': 0.05886736139655113, 'redshifts/outlier_fraction_cata_bin_5': 0.01686551235616207}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|████████ | 1252/1563 [1:58:53<33:16, 6.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([78824.])\n", + "total num of pts: tensor([28526., 19101., 7998., 4494., 2687., 16018.])\n", + "{'redshifts/bias_abs': 0.07551465928554535, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.09052565693855286, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04756192862987518, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023750005289912224, 'redshifts/bias': 0.004519693553447723, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 7.76397719164379e-05, 'redshifts/mse': 0.31092679500579834, 'redshifts/mse_bin_0': 0.4371393024921417, 'redshifts/mse_bin_1': 0.36057862639427185, 'redshifts/mse_bin_2': 0.29369089007377625, 'redshifts/mse_bin_3': 0.22196468710899353, 'redshifts/mse_bin_4': 0.23077574372291565, 'redshifts/mse_bin_5': 0.07395961135625839, 'redshifts/nmad': 0.11173214763402939, 'redshifts/nmad_bin_0': 0.21171359717845917, 'redshifts/nmad_bin_1': 0.13351595401763916, 'redshifts/nmad_bin_2': 0.08775735646486282, 'redshifts/nmad_bin_3': 0.07149048894643784, 'redshifts/nmad_bin_4': 0.06387817859649658, 'redshifts/nmad_bin_5': 0.03517365828156471, 'redshifts/outlier_fraction': 0.32534506916999817, 'redshifts/outlier_fraction_bin_0': 0.48874711990356445, 'redshifts/outlier_fraction_bin_1': 0.3553740680217743, 'redshifts/outlier_fraction_bin_2': 0.2550637722015381, 'redshifts/outlier_fraction_bin_3': 0.19848686456680298, 'redshifts/outlier_fraction_bin_4': 0.18719761073589325, 'redshifts/outlier_fraction_bin_5': 0.09239605814218521, 'redshifts/outlier_fraction_cata': 0.08809499442577362, 'redshifts/outlier_fraction_cata_bin_0': 0.13201990723609924, 'redshifts/outlier_fraction_cata_bin_1': 0.09753415733575821, 'redshifts/outlier_fraction_cata_bin_2': 0.07851962745189667, 'redshifts/outlier_fraction_cata_bin_3': 0.05763239786028862, 'redshifts/outlier_fraction_cata_bin_4': 0.05880163609981537, 'redshifts/outlier_fraction_cata_bin_5': 0.016856037080287933}\n", + "total num of pts: tensor([78898.])\n", + "total num of pts: tensor([28551., 19120., 8007., 4501., 2691., 16028.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|████████ | 1253/1563 [1:58:59<32:44, 6.34s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0754941776394844, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.09052565693855286, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04745540767908096, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023743191733956337, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.02910325676202774, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 7.76397719164379e-05, 'redshifts/mse': 0.3109271228313446, 'redshifts/mse_bin_0': 0.43711620569229126, 'redshifts/mse_bin_1': 0.3606957495212555, 'redshifts/mse_bin_2': 0.2938111424446106, 'redshifts/mse_bin_3': 0.22162407636642456, 'redshifts/mse_bin_4': 0.23043765127658844, 'redshifts/mse_bin_5': 0.07391573488712311, 'redshifts/nmad': 0.11169435828924179, 'redshifts/nmad_bin_0': 0.21168121695518494, 'redshifts/nmad_bin_1': 0.13355045020580292, 'redshifts/nmad_bin_2': 0.08767975866794586, 'redshifts/nmad_bin_3': 0.07144670188426971, 'redshifts/nmad_bin_4': 0.06383535265922546, 'redshifts/nmad_bin_5': 0.035173654556274414, 'redshifts/outlier_fraction': 0.32531875371932983, 'redshifts/outlier_fraction_bin_0': 0.4887394607067108, 'redshifts/outlier_fraction_bin_1': 0.35543933510780334, 'redshifts/outlier_fraction_bin_2': 0.25502684712409973, 'redshifts/outlier_fraction_bin_3': 0.19817818701267242, 'redshifts/outlier_fraction_bin_4': 0.18691936135292053, 'redshifts/outlier_fraction_bin_5': 0.09233840554952621, 'redshifts/outlier_fraction_cata': 0.08811376988887787, 'redshifts/outlier_fraction_cata_bin_0': 0.13204440474510193, 'redshifts/outlier_fraction_cata_bin_1': 0.09759414196014404, 'redshifts/outlier_fraction_cata_bin_2': 0.07855626195669174, 'redshifts/outlier_fraction_cata_bin_3': 0.057542767375707626, 'redshifts/outlier_fraction_cata_bin_4': 0.058714233338832855, 'redshifts/outlier_fraction_cata_bin_5': 0.016845520585775375}\n", + "total num of pts: tensor([78951.])\n", + "total num of pts: tensor([28572., 19131., 8011., 4502., 2695., 16040.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|████████ | 1254/1563 [1:59:05<32:31, 6.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0754941776394844, 'redshifts/bias_abs_bin_0': 0.14477525651454926, 'redshifts/bias_abs_bin_1': 0.09052565693855286, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.047449640929698944, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.029070332646369934, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 8.039054227992892e-05, 'redshifts/mse': 0.31092897057533264, 'redshifts/mse_bin_0': 0.43712738156318665, 'redshifts/mse_bin_1': 0.36082884669303894, 'redshifts/mse_bin_2': 0.2937086522579193, 'redshifts/mse_bin_3': 0.22157488763332367, 'redshifts/mse_bin_4': 0.2301858365535736, 'redshifts/mse_bin_5': 0.07386169582605362, 'redshifts/nmad': 0.11169435828924179, 'redshifts/nmad_bin_0': 0.2116837054491043, 'redshifts/nmad_bin_1': 0.13355045020580292, 'redshifts/nmad_bin_2': 0.08775735646486282, 'redshifts/nmad_bin_3': 0.07135681062936783, 'redshifts/nmad_bin_4': 0.06381956487894058, 'redshifts/nmad_bin_5': 0.035128917545080185, 'redshifts/outlier_fraction': 0.32532837986946106, 'redshifts/outlier_fraction_bin_0': 0.4887652099132538, 'redshifts/outlier_fraction_bin_1': 0.3554440438747406, 'redshifts/outlier_fraction_bin_2': 0.25514915585517883, 'redshifts/outlier_fraction_bin_3': 0.1981341689825058, 'redshifts/outlier_fraction_bin_4': 0.18701298534870148, 'redshifts/outlier_fraction_bin_5': 0.09226932376623154, 'redshifts/outlier_fraction_cata': 0.08810528367757797, 'redshifts/outlier_fraction_cata_bin_0': 0.1320173591375351, 'redshifts/outlier_fraction_cata_bin_1': 0.09764257073402405, 'redshifts/outlier_fraction_cata_bin_2': 0.07851704210042953, 'redshifts/outlier_fraction_cata_bin_3': 0.057529985904693604, 'redshifts/outlier_fraction_cata_bin_4': 0.058627087622880936, 'redshifts/outlier_fraction_cata_bin_5': 0.01683291792869568}\n", + "total num of pts: tensor([79006.])\n", + "total num of pts: tensor([28599., 19142., 8013., 4504., 2702., 16046.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|████████ | 1255/1563 [1:59:14<35:39, 6.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0755055770277977, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09052565693855286, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02373977191746235, 'redshifts/bias': 0.0045113894157111645, 'redshifts/bias_bin_0': 0.028993980959057808, 'redshifts/bias_bin_1': 0.010441378690302372, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00010164400737266988, 'redshifts/mse': 0.31085464358329773, 'redshifts/mse_bin_0': 0.43700066208839417, 'redshifts/mse_bin_1': 0.3606714904308319, 'redshifts/mse_bin_2': 0.29367753863334656, 'redshifts/mse_bin_3': 0.22147837281227112, 'redshifts/mse_bin_4': 0.22982463240623474, 'redshifts/mse_bin_5': 0.07390304654836655, 'redshifts/nmad': 0.11170537024736404, 'redshifts/nmad_bin_0': 0.2116875797510147, 'redshifts/nmad_bin_1': 0.13356725871562958, 'redshifts/nmad_bin_2': 0.08775735646486282, 'redshifts/nmad_bin_3': 0.07135073840618134, 'redshifts/nmad_bin_4': 0.0638812705874443, 'redshifts/nmad_bin_5': 0.03515021130442619, 'redshifts/outlier_fraction': 0.32535502314567566, 'redshifts/outlier_fraction_bin_0': 0.4886534512042999, 'redshifts/outlier_fraction_bin_1': 0.3553965091705322, 'redshifts/outlier_fraction_bin_2': 0.255210280418396, 'redshifts/outlier_fraction_bin_3': 0.19804617762565613, 'redshifts/outlier_fraction_bin_4': 0.1883789747953415, 'redshifts/outlier_fraction_bin_5': 0.09229714423418045, 'redshifts/outlier_fraction_cata': 0.08809457719326019, 'redshifts/outlier_fraction_cata_bin_0': 0.13199761509895325, 'redshifts/outlier_fraction_cata_bin_1': 0.09758646041154861, 'redshifts/outlier_fraction_cata_bin_2': 0.07849743962287903, 'redshifts/outlier_fraction_cata_bin_3': 0.05750444158911705, 'redshifts/outlier_fraction_cata_bin_4': 0.058475203812122345, 'redshifts/outlier_fraction_cata_bin_5': 0.016888944432139397}\n", + "total num of pts: tensor([79078.])\n", + "total num of pts: tensor([28628., 19163., 8018., 4509., 2702., 16058.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|████████ | 1256/1563 [1:59:18<31:50, 6.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0754941776394844, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05917005240917206, 'redshifts/bias_abs_bin_3': 0.04739610105752945, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.004498267080634832, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.010392154566943645, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00010164400737266988, 'redshifts/mse': 0.31079182028770447, 'redshifts/mse_bin_0': 0.4369145333766937, 'redshifts/mse_bin_1': 0.3606204092502594, 'redshifts/mse_bin_2': 0.29354697465896606, 'redshifts/mse_bin_3': 0.22123706340789795, 'redshifts/mse_bin_4': 0.22982463240623474, 'redshifts/mse_bin_5': 0.07385872304439545, 'redshifts/nmad': 0.11169465631246567, 'redshifts/nmad_bin_0': 0.21166808903217316, 'redshifts/nmad_bin_1': 0.1335013061761856, 'redshifts/nmad_bin_2': 0.08773035556077957, 'redshifts/nmad_bin_3': 0.07126084715127945, 'redshifts/nmad_bin_4': 0.0638812705874443, 'redshifts/nmad_bin_5': 0.035157710313797, 'redshifts/outlier_fraction': 0.3253496587276459, 'redshifts/outlier_fraction_bin_0': 0.48868241906166077, 'redshifts/outlier_fraction_bin_1': 0.3552679717540741, 'redshifts/outlier_fraction_bin_2': 0.2553005814552307, 'redshifts/outlier_fraction_bin_3': 0.1978265643119812, 'redshifts/outlier_fraction_bin_4': 0.1883789747953415, 'redshifts/outlier_fraction_bin_5': 0.09229044616222382, 'redshifts/outlier_fraction_cata': 0.08806494623422623, 'redshifts/outlier_fraction_cata_bin_0': 0.1319337785243988, 'redshifts/outlier_fraction_cata_bin_1': 0.09758388251066208, 'redshifts/outlier_fraction_cata_bin_2': 0.07844848930835724, 'redshifts/outlier_fraction_cata_bin_3': 0.05744067579507828, 'redshifts/outlier_fraction_cata_bin_4': 0.058475203812122345, 'redshifts/outlier_fraction_cata_bin_5': 0.016876323148608208}\n", + "total num of pts: tensor([79128.])\n", + "total num of pts: tensor([28649., 19168., 8024., 4510., 2705., 16072.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|████████ | 1257/1563 [1:59:25<32:51, 6.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07548024505376816, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09049730002880096, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.02373977191746235, 'redshifts/bias': 0.004492044448852539, 'redshifts/bias_bin_0': 0.028978917747735977, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 7.918477058410645e-05, 'redshifts/mse': 0.3107241988182068, 'redshifts/mse_bin_0': 0.4368602931499481, 'redshifts/mse_bin_1': 0.3606279492378235, 'redshifts/mse_bin_2': 0.29336151480674744, 'redshifts/mse_bin_3': 0.22118809819221497, 'redshifts/mse_bin_4': 0.2295720875263214, 'redshifts/mse_bin_5': 0.07381568104028702, 'redshifts/nmad': 0.11168543249368668, 'redshifts/nmad_bin_0': 0.21173126995563507, 'redshifts/nmad_bin_1': 0.13352477550506592, 'redshifts/nmad_bin_2': 0.087654709815979, 'redshifts/nmad_bin_3': 0.07121657580137253, 'redshifts/nmad_bin_4': 0.06377612799406052, 'redshifts/nmad_bin_5': 0.03514277935028076, 'redshifts/outlier_fraction': 0.32535889744758606, 'redshifts/outlier_fraction_bin_0': 0.4887779653072357, 'redshifts/outlier_fraction_bin_1': 0.3552796244621277, 'redshifts/outlier_fraction_bin_2': 0.2552343010902405, 'redshifts/outlier_fraction_bin_3': 0.1977827101945877, 'redshifts/outlier_fraction_bin_4': 0.18817006051540375, 'redshifts/outlier_fraction_bin_5': 0.09227227419614792, 'redshifts/outlier_fraction_cata': 0.08804721385240555, 'redshifts/outlier_fraction_cata_bin_0': 0.13190686702728271, 'redshifts/outlier_fraction_cata_bin_1': 0.09761060029268265, 'redshifts/outlier_fraction_cata_bin_2': 0.07838983088731766, 'redshifts/outlier_fraction_cata_bin_3': 0.057427939027547836, 'redshifts/outlier_fraction_cata_bin_4': 0.05841035023331642, 'redshifts/outlier_fraction_cata_bin_5': 0.016861623153090477}\n", + "total num of pts: tensor([79186.])\n", + "total num of pts: tensor([28677., 19178., 8033., 4513., 2706., 16079.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 80%|████████ | 1258/1563 [1:59:31<31:50, 6.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07548616081476212, 'redshifts/bias_abs_bin_0': 0.14477525651454926, 'redshifts/bias_abs_bin_1': 0.09052565693855286, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023743191733956337, 'redshifts/bias': 0.0044848076067864895, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 7.918477058410645e-05, 'redshifts/mse': 0.3106817305088043, 'redshifts/mse_bin_0': 0.4366753101348877, 'redshifts/mse_bin_1': 0.3607008457183838, 'redshifts/mse_bin_2': 0.29319122433662415, 'redshifts/mse_bin_3': 0.22134077548980713, 'redshifts/mse_bin_4': 0.22948840260505676, 'redshifts/mse_bin_5': 0.07378985732793808, 'redshifts/nmad': 0.1117023229598999, 'redshifts/nmad_bin_0': 0.21173079311847687, 'redshifts/nmad_bin_1': 0.13357464969158173, 'redshifts/nmad_bin_2': 0.08762745559215546, 'redshifts/nmad_bin_3': 0.071121446788311, 'redshifts/nmad_bin_4': 0.06377110630273819, 'redshifts/nmad_bin_5': 0.03517136722803116, 'redshifts/outlier_fraction': 0.32537317276000977, 'redshifts/outlier_fraction_bin_0': 0.4887191951274872, 'redshifts/outlier_fraction_bin_1': 0.35535508394241333, 'redshifts/outlier_fraction_bin_2': 0.25519731640815735, 'redshifts/outlier_fraction_bin_3': 0.1978728175163269, 'redshifts/outlier_fraction_bin_4': 0.18810051679611206, 'redshifts/outlier_fraction_bin_5': 0.0922321006655693, 'redshifts/outlier_fraction_cata': 0.08805849403142929, 'redshifts/outlier_fraction_cata_bin_0': 0.1318478286266327, 'redshifts/outlier_fraction_cata_bin_1': 0.0976639911532402, 'redshifts/outlier_fraction_cata_bin_2': 0.07842648774385452, 'redshifts/outlier_fraction_cata_bin_3': 0.05761134624481201, 'redshifts/outlier_fraction_cata_bin_4': 0.05838876590132713, 'redshifts/outlier_fraction_cata_bin_5': 0.016854282468557358}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1259/1563 [1:59:35<28:48, 5.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([79261.])\n", + "total num of pts: tensor([28705., 19193., 8037., 4519., 2707., 16100.])\n", + "{'redshifts/bias_abs': 0.07548024505376816, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02373977191746235, 'redshifts/bias': 0.0044848076067864895, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 8.039054227992892e-05, 'redshifts/mse': 0.31052902340888977, 'redshifts/mse_bin_0': 0.43649888038635254, 'redshifts/mse_bin_1': 0.3605693578720093, 'redshifts/mse_bin_2': 0.2930665612220764, 'redshifts/mse_bin_3': 0.2210792750120163, 'redshifts/mse_bin_4': 0.2294052690267563, 'redshifts/mse_bin_5': 0.07374466210603714, 'redshifts/nmad': 0.1116858720779419, 'redshifts/nmad_bin_0': 0.2117372453212738, 'redshifts/nmad_bin_1': 0.13351771235466003, 'redshifts/nmad_bin_2': 0.08761299401521683, 'redshifts/nmad_bin_3': 0.0711066722869873, 'redshifts/nmad_bin_4': 0.06377110630273819, 'redshifts/nmad_bin_5': 0.0351409912109375, 'redshifts/outlier_fraction': 0.3253428637981415, 'redshifts/outlier_fraction_bin_0': 0.4887998700141907, 'redshifts/outlier_fraction_bin_1': 0.35528579354286194, 'redshifts/outlier_fraction_bin_2': 0.255070298910141, 'redshifts/outlier_fraction_bin_3': 0.19783137738704681, 'redshifts/outlier_fraction_bin_4': 0.18803103268146515, 'redshifts/outlier_fraction_bin_5': 0.09217391163110733, 'redshifts/outlier_fraction_cata': 0.08800040185451508, 'redshifts/outlier_fraction_cata_bin_0': 0.1317540556192398, 'redshifts/outlier_fraction_cata_bin_1': 0.09763976186513901, 'redshifts/outlier_fraction_cata_bin_2': 0.07838746160268784, 'redshifts/outlier_fraction_cata_bin_3': 0.057534851133823395, 'redshifts/outlier_fraction_cata_bin_4': 0.05836719647049904, 'redshifts/outlier_fraction_cata_bin_5': 0.016832297667860985}\n", + "total num of pts: tensor([79317.])\n", + "total num of pts: tensor([28721., 19213., 8041., 4525., 2708., 16109.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1260/1563 [1:59:41<29:15, 5.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07549702376127243, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09049373120069504, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04741744324564934, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.02374076284468174, 'redshifts/bias': 0.0044891368597745895, 'redshifts/bias_bin_0': 0.02893446385860443, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 7.918477058410645e-05, 'redshifts/mse': 0.31068265438079834, 'redshifts/mse_bin_0': 0.43644264340400696, 'redshifts/mse_bin_1': 0.36047884821891785, 'redshifts/mse_bin_2': 0.2937629520893097, 'redshifts/mse_bin_3': 0.22082863748073578, 'redshifts/mse_bin_4': 0.22932060062885284, 'redshifts/mse_bin_5': 0.07443433254957199, 'redshifts/nmad': 0.11171253770589828, 'redshifts/nmad_bin_0': 0.2117171585559845, 'redshifts/nmad_bin_1': 0.13352873921394348, 'redshifts/nmad_bin_2': 0.08766954392194748, 'redshifts/nmad_bin_3': 0.07109061628580093, 'redshifts/nmad_bin_4': 0.06372441351413727, 'redshifts/nmad_bin_5': 0.035146892070770264, 'redshifts/outlier_fraction': 0.3253779113292694, 'redshifts/outlier_fraction_bin_0': 0.48884090781211853, 'redshifts/outlier_fraction_bin_1': 0.3552282452583313, 'redshifts/outlier_fraction_bin_2': 0.2551921308040619, 'redshifts/outlier_fraction_bin_3': 0.19801105558872223, 'redshifts/outlier_fraction_bin_4': 0.18796159327030182, 'redshifts/outlier_fraction_bin_5': 0.09224656969308853, 'redshifts/outlier_fraction_cata': 0.08802652359008789, 'redshifts/outlier_fraction_cata_bin_0': 0.13175028562545776, 'redshifts/outlier_fraction_cata_bin_1': 0.09759017080068588, 'redshifts/outlier_fraction_cata_bin_2': 0.07859718799591064, 'redshifts/outlier_fraction_cata_bin_3': 0.05745856463909149, 'redshifts/outlier_fraction_cata_bin_4': 0.05834564194083214, 'redshifts/outlier_fraction_cata_bin_5': 0.016947047784924507}\n", + "total num of pts: tensor([79385.])\n", + "total num of pts: tensor([28754., 19227., 8046., 4528., 2710., 16120.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1261/1563 [1:59:48<30:41, 6.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07549702376127243, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09045563638210297, 'redshifts/bias_abs_bin_2': 0.05915295332670212, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02373977191746235, 'redshifts/bias': 0.004492044448852539, 'redshifts/bias_bin_0': 0.028852520510554314, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 6.532659608637914e-05, 'redshifts/mse': 0.3107256591320038, 'redshifts/mse_bin_0': 0.4367080628871918, 'redshifts/mse_bin_1': 0.3603387475013733, 'redshifts/mse_bin_2': 0.2935852110385895, 'redshifts/mse_bin_3': 0.22068361937999725, 'redshifts/mse_bin_4': 0.22916075587272644, 'redshifts/mse_bin_5': 0.07438885420560837, 'redshifts/nmad': 0.1117168515920639, 'redshifts/nmad_bin_0': 0.21181544661521912, 'redshifts/nmad_bin_1': 0.13347618281841278, 'redshifts/nmad_bin_2': 0.08766438812017441, 'redshifts/nmad_bin_3': 0.07097259163856506, 'redshifts/nmad_bin_4': 0.06381956487894058, 'redshifts/nmad_bin_5': 0.035151246935129166, 'redshifts/outlier_fraction': 0.32536372542381287, 'redshifts/outlier_fraction_bin_0': 0.48887112736701965, 'redshifts/outlier_fraction_bin_1': 0.3551776111125946, 'redshifts/outlier_fraction_bin_2': 0.25503355264663696, 'redshifts/outlier_fraction_bin_3': 0.1978798657655716, 'redshifts/outlier_fraction_bin_4': 0.1878228783607483, 'redshifts/outlier_fraction_bin_5': 0.09218361973762512, 'redshifts/outlier_fraction_cata': 0.08805190026760101, 'redshifts/outlier_fraction_cata_bin_0': 0.13184252381324768, 'redshifts/outlier_fraction_cata_bin_1': 0.09757112711668015, 'redshifts/outlier_fraction_cata_bin_2': 0.07854834944009781, 'redshifts/outlier_fraction_cata_bin_3': 0.05742049589753151, 'redshifts/outlier_fraction_cata_bin_4': 0.05830258131027222, 'redshifts/outlier_fraction_cata_bin_5': 0.01693548448383808}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1262/1563 [1:59:53<28:22, 5.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([79454.])\n", + "total num of pts: tensor([28779., 19243., 8055., 4530., 2711., 16136.])\n", + "{'redshifts/bias_abs': 0.0754840075969696, 'redshifts/bias_abs_bin_0': 0.14482153952121735, 'redshifts/bias_abs_bin_1': 0.0904427096247673, 'redshifts/bias_abs_bin_2': 0.05916092172265053, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023709308356046677, 'redshifts/bias': 0.004475842695683241, 'redshifts/bias_bin_0': 0.028835125267505646, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 6.341078551486135e-05, 'redshifts/mse': 0.3107120096683502, 'redshifts/mse_bin_0': 0.436799556016922, 'redshifts/mse_bin_1': 0.36018672585487366, 'redshifts/mse_bin_2': 0.2937466502189636, 'redshifts/mse_bin_3': 0.220586359500885, 'redshifts/mse_bin_4': 0.2290763407945633, 'redshifts/mse_bin_5': 0.0743163526058197, 'redshifts/nmad': 0.1116958037018776, 'redshifts/nmad_bin_0': 0.2119063436985016, 'redshifts/nmad_bin_1': 0.1334310621023178, 'redshifts/nmad_bin_2': 0.08769530057907104, 'redshifts/nmad_bin_3': 0.0709540843963623, 'redshifts/nmad_bin_4': 0.06381956487894058, 'redshifts/nmad_bin_5': 0.0351177453994751, 'redshifts/outlier_fraction': 0.3253832459449768, 'redshifts/outlier_fraction_bin_0': 0.4889676570892334, 'redshifts/outlier_fraction_bin_1': 0.35514211654663086, 'redshifts/outlier_fraction_bin_2': 0.255245178937912, 'redshifts/outlier_fraction_bin_3': 0.19779250025749207, 'redshifts/outlier_fraction_bin_4': 0.1877536028623581, 'redshifts/outlier_fraction_bin_5': 0.09209221601486206, 'redshifts/outlier_fraction_cata': 0.08806353062391281, 'redshifts/outlier_fraction_cata_bin_0': 0.13190174102783203, 'redshifts/outlier_fraction_cata_bin_1': 0.09754196554422379, 'redshifts/outlier_fraction_cata_bin_2': 0.07858473062515259, 'redshifts/outlier_fraction_cata_bin_3': 0.057395145297050476, 'redshifts/outlier_fraction_cata_bin_4': 0.058281078934669495, 'redshifts/outlier_fraction_cata_bin_5': 0.016918690875172615}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1263/1563 [1:59:59<28:33, 5.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([79523.])\n", + "total num of pts: tensor([28803., 19261., 8061., 4536., 2714., 16148.])\n", + "{'redshifts/bias_abs': 0.0754941776394844, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.0904325395822525, 'redshifts/bias_abs_bin_2': 0.059159066528081894, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.00447638938203454, 'redshifts/bias_bin_0': 0.028852520510554314, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 6.327300798147917e-05, 'redshifts/mse': 0.3106749951839447, 'redshifts/mse_bin_0': 0.43667975068092346, 'redshifts/mse_bin_1': 0.36019834876060486, 'redshifts/mse_bin_2': 0.2939663827419281, 'redshifts/mse_bin_3': 0.2203066349029541, 'redshifts/mse_bin_4': 0.22885285317897797, 'redshifts/mse_bin_5': 0.07432834059000015, 'redshifts/nmad': 0.11170955747365952, 'redshifts/nmad_bin_0': 0.21183133125305176, 'redshifts/nmad_bin_1': 0.1334310621023178, 'redshifts/nmad_bin_2': 0.0876736044883728, 'redshifts/nmad_bin_3': 0.07083956152200699, 'redshifts/nmad_bin_4': 0.06372441351413727, 'redshifts/nmad_bin_5': 0.0351397804915905, 'redshifts/outlier_fraction': 0.32535240054130554, 'redshifts/outlier_fraction_bin_0': 0.4889073967933655, 'redshifts/outlier_fraction_bin_1': 0.35512176156044006, 'redshifts/outlier_fraction_bin_2': 0.2553033232688904, 'redshifts/outlier_fraction_bin_3': 0.1975308656692505, 'redshifts/outlier_fraction_bin_4': 0.18754605948925018, 'redshifts/outlier_fraction_bin_5': 0.09214763343334198, 'redshifts/outlier_fraction_cata': 0.08806256949901581, 'redshifts/outlier_fraction_cata_bin_0': 0.13186126947402954, 'redshifts/outlier_fraction_cata_bin_1': 0.09755464643239975, 'redshifts/outlier_fraction_cata_bin_2': 0.0787743479013443, 'redshifts/outlier_fraction_cata_bin_3': 0.05731922388076782, 'redshifts/outlier_fraction_cata_bin_4': 0.058216653764247894, 'redshifts/outlier_fraction_cata_bin_5': 0.016906118020415306}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1264/1563 [2:00:06<30:09, 6.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([79589.])\n", + "total num of pts: tensor([28834., 19277., 8066., 4537., 2716., 16159.])\n", + "{'redshifts/bias_abs': 0.0755055770277977, 'redshifts/bias_abs_bin_0': 0.14482153952121735, 'redshifts/bias_abs_bin_1': 0.09034185111522675, 'redshifts/bias_abs_bin_2': 0.0591452457010746, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.0044937413185834885, 'redshifts/bias_bin_0': 0.028899753466248512, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 7.882634236011654e-05, 'redshifts/mse': 0.31069767475128174, 'redshifts/mse_bin_0': 0.436662495136261, 'redshifts/mse_bin_1': 0.360122948884964, 'redshifts/mse_bin_2': 0.29378724098205566, 'redshifts/mse_bin_3': 0.2208147794008255, 'redshifts/mse_bin_4': 0.22870267927646637, 'redshifts/mse_bin_5': 0.07442383468151093, 'redshifts/nmad': 0.11173152923583984, 'redshifts/nmad_bin_0': 0.21184863150119781, 'redshifts/nmad_bin_1': 0.13338568806648254, 'redshifts/nmad_bin_2': 0.0875760093331337, 'redshifts/nmad_bin_3': 0.0709385797381401, 'redshifts/nmad_bin_4': 0.06372441351413727, 'redshifts/nmad_bin_5': 0.03513692319393158, 'redshifts/outlier_fraction': 0.325359046459198, 'redshifts/outlier_fraction_bin_0': 0.4889713525772095, 'redshifts/outlier_fraction_bin_1': 0.3549826145172119, 'redshifts/outlier_fraction_bin_2': 0.25514504313468933, 'redshifts/outlier_fraction_bin_3': 0.19770774245262146, 'redshifts/outlier_fraction_bin_4': 0.1874079555273056, 'redshifts/outlier_fraction_bin_5': 0.09214679151773453, 'redshifts/outlier_fraction_cata': 0.08807750046253204, 'redshifts/outlier_fraction_cata_bin_0': 0.13182353973388672, 'redshifts/outlier_fraction_cata_bin_1': 0.09757742285728455, 'redshifts/outlier_fraction_cata_bin_2': 0.07872551679611206, 'redshifts/outlier_fraction_cata_bin_3': 0.057527001947164536, 'redshifts/outlier_fraction_cata_bin_4': 0.058173783123493195, 'redshifts/outlier_fraction_cata_bin_5': 0.016956495121121407}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1265/1563 [2:00:11<29:51, 6.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([79643.])\n", + "total num of pts: tensor([28853., 19290., 8073., 4540., 2717., 16170.])\n", + "{'redshifts/bias_abs': 0.07548024505376816, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.0903375893831253, 'redshifts/bias_abs_bin_2': 0.05905476585030556, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.023709308356046677, 'redshifts/bias': 0.0044891368597745895, 'redshifts/bias_bin_0': 0.02893446385860443, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 7.918477058410645e-05, 'redshifts/mse': 0.31066691875457764, 'redshifts/mse_bin_0': 0.4365329146385193, 'redshifts/mse_bin_1': 0.3603705167770386, 'redshifts/mse_bin_2': 0.29353851079940796, 'redshifts/mse_bin_3': 0.22070477902889252, 'redshifts/mse_bin_4': 0.22861887514591217, 'redshifts/mse_bin_5': 0.0743795782327652, 'redshifts/nmad': 0.11170873790979385, 'redshifts/nmad_bin_0': 0.21179717779159546, 'redshifts/nmad_bin_1': 0.13329093158245087, 'redshifts/nmad_bin_2': 0.08751532435417175, 'redshifts/nmad_bin_3': 0.07092702388763428, 'redshifts/nmad_bin_4': 0.06372441351413727, 'redshifts/nmad_bin_5': 0.03511618822813034, 'redshifts/outlier_fraction': 0.3253016471862793, 'redshifts/outlier_fraction_bin_0': 0.48889195919036865, 'redshifts/outlier_fraction_bin_1': 0.35500258207321167, 'redshifts/outlier_fraction_bin_2': 0.25492382049560547, 'redshifts/outlier_fraction_bin_3': 0.19779735803604126, 'redshifts/outlier_fraction_bin_4': 0.18733897805213928, 'redshifts/outlier_fraction_bin_5': 0.09208410978317261, 'redshifts/outlier_fraction_cata': 0.08805544674396515, 'redshifts/outlier_fraction_cata_bin_0': 0.13177138566970825, 'redshifts/outlier_fraction_cata_bin_1': 0.09761534631252289, 'redshifts/outlier_fraction_cata_bin_2': 0.07865725457668304, 'redshifts/outlier_fraction_cata_bin_3': 0.05748898535966873, 'redshifts/outlier_fraction_cata_bin_4': 0.058152373880147934, 'redshifts/outlier_fraction_cata_bin_5': 0.01694495975971222}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1266/1563 [2:00:18<30:27, 6.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([79718.])\n", + "total num of pts: tensor([28875., 19307., 8081., 4546., 2721., 16188.])\n", + "{'redshifts/bias_abs': 0.07547616958618164, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09034185111522675, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.023701120167970657, 'redshifts/bias': 0.004506967030465603, 'redshifts/bias_bin_0': 0.028989611193537712, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00010164400737266988, 'redshifts/mse': 0.3105357885360718, 'redshifts/mse_bin_0': 0.4363552927970886, 'redshifts/mse_bin_1': 0.3601902425289154, 'redshifts/mse_bin_2': 0.2932760715484619, 'redshifts/mse_bin_3': 0.2204660028219223, 'redshifts/mse_bin_4': 0.22831861674785614, 'redshifts/mse_bin_5': 0.07461600750684738, 'redshifts/nmad': 0.11167140305042267, 'redshifts/nmad_bin_0': 0.21175642311573029, 'redshifts/nmad_bin_1': 0.13338568806648254, 'redshifts/nmad_bin_2': 0.08754958212375641, 'redshifts/nmad_bin_3': 0.07101789116859436, 'redshifts/nmad_bin_4': 0.0637323334813118, 'redshifts/nmad_bin_5': 0.0350976288318634, 'redshifts/outlier_fraction': 0.32523393630981445, 'redshifts/outlier_fraction_bin_0': 0.48879653215408325, 'redshifts/outlier_fraction_bin_1': 0.3549489676952362, 'redshifts/outlier_fraction_bin_2': 0.2547951936721802, 'redshifts/outlier_fraction_bin_3': 0.19775627553462982, 'redshifts/outlier_fraction_bin_4': 0.1877986043691635, 'redshifts/outlier_fraction_bin_5': 0.09210526198148727, 'redshifts/outlier_fraction_cata': 0.08801023662090302, 'redshifts/outlier_fraction_cata_bin_0': 0.1317056268453598, 'redshifts/outlier_fraction_cata_bin_1': 0.09758118540048599, 'redshifts/outlier_fraction_cata_bin_2': 0.078579381108284, 'redshifts/outlier_fraction_cata_bin_3': 0.05741310864686966, 'redshifts/outlier_fraction_cata_bin_4': 0.05806688591837883, 'redshifts/outlier_fraction_cata_bin_5': 0.016987891867756844}\n", + "total num of pts: tensor([79778.])\n", + "total num of pts: tensor([28900., 19321., 8087., 4546., 2723., 16201.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1267/1563 [2:00:23<28:22, 5.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07547883689403534, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09041231870651245, 'redshifts/bias_abs_bin_2': 0.059123072773218155, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.023709308356046677, 'redshifts/bias': 0.004498267080634832, 'redshifts/bias_bin_0': 0.028989611193537712, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.31050387024879456, 'redshifts/mse_bin_0': 0.43633198738098145, 'redshifts/mse_bin_1': 0.36007723212242126, 'redshifts/mse_bin_2': 0.29310137033462524, 'redshifts/mse_bin_3': 0.2204660028219223, 'redshifts/mse_bin_4': 0.22815373539924622, 'redshifts/mse_bin_5': 0.07471861690282822, 'redshifts/nmad': 0.11167639493942261, 'redshifts/nmad_bin_0': 0.21171541512012482, 'redshifts/nmad_bin_1': 0.13334164023399353, 'redshifts/nmad_bin_2': 0.08758091926574707, 'redshifts/nmad_bin_3': 0.07101789116859436, 'redshifts/nmad_bin_4': 0.0636737197637558, 'redshifts/nmad_bin_5': 0.035106509923934937, 'redshifts/outlier_fraction': 0.3252776563167572, 'redshifts/outlier_fraction_bin_0': 0.4887889325618744, 'redshifts/outlier_fraction_bin_1': 0.3550540804862976, 'redshifts/outlier_fraction_bin_2': 0.2547298073768616, 'redshifts/outlier_fraction_bin_3': 0.19775627553462982, 'redshifts/outlier_fraction_bin_4': 0.18766066431999207, 'redshifts/outlier_fraction_bin_5': 0.09221652895212173, 'redshifts/outlier_fraction_cata': 0.08799418061971664, 'redshifts/outlier_fraction_cata_bin_0': 0.13166089355945587, 'redshifts/outlier_fraction_cata_bin_1': 0.09756223857402802, 'redshifts/outlier_fraction_cata_bin_2': 0.07852108031511307, 'redshifts/outlier_fraction_cata_bin_3': 0.05741310864686966, 'redshifts/outlier_fraction_cata_bin_4': 0.05802423879504204, 'redshifts/outlier_fraction_cata_bin_5': 0.017035985365509987}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1268/1563 [2:00:28<27:06, 5.51s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([79833.])\n", + "total num of pts: tensor([28920., 19335., 8090., 4552., 2725., 16211.])\n", + "{'redshifts/bias_abs': 0.07548002153635025, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09043076634407043, 'redshifts/bias_abs_bin_2': 0.05905476585030556, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.042799871414899826, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.004492044448852539, 'redshifts/bias_bin_0': 0.028989611193537712, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00010164400737266988, 'redshifts/mse': 0.31039899587631226, 'redshifts/mse_bin_0': 0.4362214505672455, 'redshifts/mse_bin_1': 0.3599575459957123, 'redshifts/mse_bin_2': 0.29299578070640564, 'redshifts/mse_bin_3': 0.22023309767246246, 'redshifts/mse_bin_4': 0.22799184918403625, 'redshifts/mse_bin_5': 0.07468130439519882, 'redshifts/nmad': 0.1116856187582016, 'redshifts/nmad_bin_0': 0.21171541512012482, 'redshifts/nmad_bin_1': 0.13333146274089813, 'redshifts/nmad_bin_2': 0.08757133781909943, 'redshifts/nmad_bin_3': 0.07099965959787369, 'redshifts/nmad_bin_4': 0.06362364441156387, 'redshifts/nmad_bin_5': 0.0351032018661499, 'redshifts/outlier_fraction': 0.325253963470459, 'redshifts/outlier_fraction_bin_0': 0.48872750997543335, 'redshifts/outlier_fraction_bin_1': 0.35510730743408203, 'redshifts/outlier_fraction_bin_2': 0.25463536381721497, 'redshifts/outlier_fraction_bin_3': 0.19771529734134674, 'redshifts/outlier_fraction_bin_4': 0.18752293288707733, 'redshifts/outlier_fraction_bin_5': 0.09222133457660675, 'redshifts/outlier_fraction_cata': 0.08795861154794693, 'redshifts/outlier_fraction_cata_bin_0': 0.13160443305969238, 'redshifts/outlier_fraction_cata_bin_1': 0.09754331409931183, 'redshifts/outlier_fraction_cata_bin_2': 0.07849196344614029, 'redshifts/outlier_fraction_cata_bin_3': 0.057337433099746704, 'redshifts/outlier_fraction_cata_bin_4': 0.05798165127635002, 'redshifts/outlier_fraction_cata_bin_5': 0.017025476321578026}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████ | 1269/1563 [2:00:34<27:54, 5.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([79901.])\n", + "total num of pts: tensor([28945., 19350., 8098., 4559., 2725., 16224.])\n", + "{'redshifts/bias_abs': 0.07548024505376816, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.0903375893831253, 'redshifts/bias_abs_bin_2': 0.0591452457010746, 'redshifts/bias_abs_bin_3': 0.04739610105752945, 'redshifts/bias_abs_bin_4': 0.042799871414899826, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.004486439283937216, 'redshifts/bias_bin_0': 0.028984561562538147, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.31042131781578064, 'redshifts/mse_bin_0': 0.43615415692329407, 'redshifts/mse_bin_1': 0.3599168360233307, 'redshifts/mse_bin_2': 0.2928910255432129, 'redshifts/mse_bin_3': 0.22159120440483093, 'redshifts/mse_bin_4': 0.22799184918403625, 'redshifts/mse_bin_5': 0.07462713867425919, 'redshifts/nmad': 0.11169392615556717, 'redshifts/nmad_bin_0': 0.21176649630069733, 'redshifts/nmad_bin_1': 0.1332152932882309, 'redshifts/nmad_bin_2': 0.08759120851755142, 'redshifts/nmad_bin_3': 0.07105714082717896, 'redshifts/nmad_bin_4': 0.06362364441156387, 'redshifts/nmad_bin_5': 0.03510655090212822, 'redshifts/outlier_fraction': 0.3252650201320648, 'redshifts/outlier_fraction_bin_0': 0.48878908157348633, 'redshifts/outlier_fraction_bin_1': 0.35498708486557007, 'redshifts/outlier_fraction_bin_2': 0.25475427508354187, 'redshifts/outlier_fraction_bin_3': 0.19785040616989136, 'redshifts/outlier_fraction_bin_4': 0.18752293288707733, 'redshifts/outlier_fraction_bin_5': 0.09220907092094421, 'redshifts/outlier_fraction_cata': 0.0879463329911232, 'redshifts/outlier_fraction_cata_bin_0': 0.13152530789375305, 'redshifts/outlier_fraction_cata_bin_1': 0.09757106006145477, 'redshifts/outlier_fraction_cata_bin_2': 0.0784144252538681, 'redshifts/outlier_fraction_cata_bin_3': 0.057688090950250626, 'redshifts/outlier_fraction_cata_bin_4': 0.05798165127635002, 'redshifts/outlier_fraction_cata_bin_5': 0.01701183430850506}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████▏ | 1270/1563 [2:00:41<29:24, 6.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([79961.])\n", + "total num of pts: tensor([28962., 19364., 8101., 4562., 2729., 16243.])\n", + "{'redshifts/bias_abs': 0.07548024505376816, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09041231870651245, 'redshifts/bias_abs_bin_2': 0.0591452457010746, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04267844185233116, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004492044448852539, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00012642316869460046, 'redshifts/mse': 0.310403048992157, 'redshifts/mse_bin_0': 0.43633392453193665, 'redshifts/mse_bin_1': 0.3597967028617859, 'redshifts/mse_bin_2': 0.2928822636604309, 'redshifts/mse_bin_3': 0.22145138680934906, 'redshifts/mse_bin_4': 0.2276725322008133, 'redshifts/mse_bin_5': 0.07459820806980133, 'redshifts/nmad': 0.1116856187582016, 'redshifts/nmad_bin_0': 0.21174271404743195, 'redshifts/nmad_bin_1': 0.133268803358078, 'redshifts/nmad_bin_2': 0.0875856950879097, 'redshifts/nmad_bin_3': 0.07099965959787369, 'redshifts/nmad_bin_4': 0.06351901590824127, 'redshifts/nmad_bin_5': 0.035139940679073334, 'redshifts/outlier_fraction': 0.32524606585502625, 'redshifts/outlier_fraction_bin_0': 0.4888129234313965, 'redshifts/outlier_fraction_bin_1': 0.35498863458633423, 'redshifts/outlier_fraction_bin_2': 0.25478336215019226, 'redshifts/outlier_fraction_bin_3': 0.19772030413150787, 'redshifts/outlier_fraction_bin_4': 0.1872480809688568, 'redshifts/outlier_fraction_bin_5': 0.09228590875864029, 'redshifts/outlier_fraction_cata': 0.08793036639690399, 'redshifts/outlier_fraction_cata_bin_0': 0.1315862238407135, 'redshifts/outlier_fraction_cata_bin_1': 0.0975005179643631, 'redshifts/outlier_fraction_cata_bin_2': 0.0783853828907013, 'redshifts/outlier_fraction_cata_bin_3': 0.05765015259385109, 'redshifts/outlier_fraction_cata_bin_4': 0.05789666622877121, 'redshifts/outlier_fraction_cata_bin_5': 0.016991935670375824}\n", + "total num of pts: tensor([80024.])\n", + "total num of pts: tensor([28985., 19379., 8113., 4564., 2730., 16253.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████▏ | 1271/1563 [2:00:46<28:37, 5.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07547883689403534, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09034185111522675, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.004486439283937216, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.31036388874053955, 'redshifts/mse_bin_0': 0.436458021402359, 'redshifts/mse_bin_1': 0.3596201241016388, 'redshifts/mse_bin_2': 0.29251864552497864, 'redshifts/mse_bin_3': 0.22137980163097382, 'redshifts/mse_bin_4': 0.22758914530277252, 'redshifts/mse_bin_5': 0.0745605006814003, 'redshifts/nmad': 0.11168345808982849, 'redshifts/nmad_bin_0': 0.21175813674926758, 'redshifts/nmad_bin_1': 0.13324478268623352, 'redshifts/nmad_bin_2': 0.08755169063806534, 'redshifts/nmad_bin_3': 0.07099965959787369, 'redshifts/nmad_bin_4': 0.06343530863523483, 'redshifts/nmad_bin_5': 0.03514501824975014, 'redshifts/outlier_fraction': 0.3252399265766144, 'redshifts/outlier_fraction_bin_0': 0.48887354135513306, 'redshifts/outlier_fraction_bin_1': 0.35486868023872375, 'redshifts/outlier_fraction_bin_2': 0.25465303659439087, 'redshifts/outlier_fraction_bin_3': 0.19785276055335999, 'redshifts/outlier_fraction_bin_4': 0.18717949092388153, 'redshifts/outlier_fraction_bin_5': 0.09229065477848053, 'redshifts/outlier_fraction_cata': 0.08791112899780273, 'redshifts/outlier_fraction_cata_bin_0': 0.13158529996871948, 'redshifts/outlier_fraction_cata_bin_1': 0.09747664630413055, 'redshifts/outlier_fraction_cata_bin_2': 0.07826944440603256, 'redshifts/outlier_fraction_cata_bin_3': 0.05762489140033722, 'redshifts/outlier_fraction_cata_bin_4': 0.057875458151102066, 'redshifts/outlier_fraction_cata_bin_5': 0.01698148064315319}\n", + "total num of pts: tensor([80078.])\n", + "total num of pts: tensor([29002., 19396., 8119., 4567., 2731., 16263.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████▏ | 1272/1563 [2:00:51<26:27, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07548024505376816, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09034185111522675, 'redshifts/bias_abs_bin_2': 0.05905476585030556, 'redshifts/bias_abs_bin_3': 0.04739610105752945, 'redshifts/bias_abs_bin_4': 0.04267844185233116, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004475842695683241, 'redshifts/bias_bin_0': 0.028899753466248512, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00012642316869460046, 'redshifts/mse': 0.3103252351284027, 'redshifts/mse_bin_0': 0.43639621138572693, 'redshifts/mse_bin_1': 0.3595702350139618, 'redshifts/mse_bin_2': 0.2924143373966217, 'redshifts/mse_bin_3': 0.22125530242919922, 'redshifts/mse_bin_4': 0.22750817239284515, 'redshifts/mse_bin_5': 0.07463015615940094, 'redshifts/nmad': 0.1116991713643074, 'redshifts/nmad_bin_0': 0.21181288361549377, 'redshifts/nmad_bin_1': 0.13324478268623352, 'redshifts/nmad_bin_2': 0.08757684379816055, 'redshifts/nmad_bin_3': 0.07105714082717896, 'redshifts/nmad_bin_4': 0.06347522139549255, 'redshifts/nmad_bin_5': 0.03515266627073288, 'redshifts/outlier_fraction': 0.3252703547477722, 'redshifts/outlier_fraction_bin_0': 0.4888283610343933, 'redshifts/outlier_fraction_bin_1': 0.35491853952407837, 'redshifts/outlier_fraction_bin_2': 0.2548343539237976, 'redshifts/outlier_fraction_bin_3': 0.19772279262542725, 'redshifts/outlier_fraction_bin_4': 0.18711094558238983, 'redshifts/outlier_fraction_bin_5': 0.092418372631073, 'redshifts/outlier_fraction_cata': 0.08791428059339523, 'redshifts/outlier_fraction_cata_bin_0': 0.13157713413238525, 'redshifts/outlier_fraction_cata_bin_1': 0.09749432653188705, 'redshifts/outlier_fraction_cata_bin_2': 0.07821160554885864, 'redshifts/outlier_fraction_cata_bin_3': 0.05758703872561455, 'redshifts/outlier_fraction_cata_bin_4': 0.057854264974594116, 'redshifts/outlier_fraction_cata_bin_5': 0.017032528296113014}\n", + "total num of pts: tensor([80139.])\n", + "total num of pts: tensor([29021., 19412., 8125., 4571., 2734., 16276.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 81%|████████▏ | 1273/1563 [2:00:56<26:24, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07548616081476212, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09034185111522675, 'redshifts/bias_abs_bin_2': 0.05905476585030556, 'redshifts/bias_abs_bin_3': 0.04741744324564934, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.02372131310403347, 'redshifts/bias': 0.00447638938203454, 'redshifts/bias_bin_0': 0.028977226465940475, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00012919306755065918, 'redshifts/mse': 0.3103390038013458, 'redshifts/mse_bin_0': 0.4365540146827698, 'redshifts/mse_bin_1': 0.3596222400665283, 'redshifts/mse_bin_2': 0.29222381114959717, 'redshifts/mse_bin_3': 0.22107666730880737, 'redshifts/mse_bin_4': 0.22726421058177948, 'redshifts/mse_bin_5': 0.07457703351974487, 'redshifts/nmad': 0.11170955747365952, 'redshifts/nmad_bin_0': 0.21176110208034515, 'redshifts/nmad_bin_1': 0.13325205445289612, 'redshifts/nmad_bin_2': 0.08757684379816055, 'redshifts/nmad_bin_3': 0.0710635557770729, 'redshifts/nmad_bin_4': 0.06347522139549255, 'redshifts/nmad_bin_5': 0.03514404594898224, 'redshifts/outlier_fraction': 0.3252473771572113, 'redshifts/outlier_fraction_bin_0': 0.4888528883457184, 'redshifts/outlier_fraction_bin_1': 0.35498660802841187, 'redshifts/outlier_fraction_bin_2': 0.2547692358493805, 'redshifts/outlier_fraction_bin_3': 0.19754977524280548, 'redshifts/outlier_fraction_bin_4': 0.186905637383461, 'redshifts/outlier_fraction_bin_5': 0.09234455972909927, 'redshifts/outlier_fraction_cata': 0.0879097580909729, 'redshifts/outlier_fraction_cata_bin_0': 0.13159435987472534, 'redshifts/outlier_fraction_cata_bin_1': 0.0975169986486435, 'redshifts/outlier_fraction_cata_bin_2': 0.07815384864807129, 'redshifts/outlier_fraction_cata_bin_3': 0.057536642998456955, 'redshifts/outlier_fraction_cata_bin_4': 0.05779078230261803, 'redshifts/outlier_fraction_cata_bin_5': 0.01701892353594303}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1274/1563 [2:01:02<27:20, 5.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([80194.])\n", + "total num of pts: tensor([29033., 19432., 8127., 4578., 2735., 16289.])\n", + "{'redshifts/bias_abs': 0.0754840075969696, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05905476585030556, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.04267844185233116, 'redshifts/bias_abs_bin_5': 0.023725351318717003, 'redshifts/bias': 0.004475842695683241, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.31025591492652893, 'redshifts/mse_bin_0': 0.43659740686416626, 'redshifts/mse_bin_1': 0.3594095706939697, 'redshifts/mse_bin_2': 0.2921568751335144, 'redshifts/mse_bin_3': 0.22079086303710938, 'redshifts/mse_bin_4': 0.22732402384281158, 'redshifts/mse_bin_5': 0.07452838122844696, 'redshifts/nmad': 0.1116991713643074, 'redshifts/nmad_bin_0': 0.2117621898651123, 'redshifts/nmad_bin_1': 0.13315603137016296, 'redshifts/nmad_bin_2': 0.08758091926574707, 'redshifts/nmad_bin_3': 0.07109302282333374, 'redshifts/nmad_bin_4': 0.06354290246963501, 'redshifts/nmad_bin_5': 0.03515034168958664, 'redshifts/outlier_fraction': 0.32521137595176697, 'redshifts/outlier_fraction_bin_0': 0.48889195919036865, 'redshifts/outlier_fraction_bin_1': 0.3548785448074341, 'redshifts/outlier_fraction_bin_2': 0.2547065317630768, 'redshifts/outlier_fraction_bin_3': 0.19746613502502441, 'redshifts/outlier_fraction_bin_4': 0.18720293045043945, 'redshifts/outlier_fraction_bin_5': 0.09233225136995316, 'redshifts/outlier_fraction_cata': 0.08788687735795975, 'redshifts/outlier_fraction_cata_bin_0': 0.13164329528808594, 'redshifts/outlier_fraction_cata_bin_1': 0.09741663187742233, 'redshifts/outlier_fraction_cata_bin_2': 0.07813461124897003, 'redshifts/outlier_fraction_cata_bin_3': 0.05744866654276848, 'redshifts/outlier_fraction_cata_bin_4': 0.05776965245604515, 'redshifts/outlier_fraction_cata_bin_5': 0.01700534112751484}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1275/1563 [2:01:09<29:14, 6.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([80270.])\n", + "total num of pts: tensor([29058., 19442., 8140., 4585., 2736., 16309.])\n", + "{'redshifts/bias_abs': 0.07545687258243561, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.047442588955163956, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023713544011116028, 'redshifts/bias': 0.0044891368597745895, 'redshifts/bias_bin_0': 0.028964832425117493, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00012919306755065918, 'redshifts/mse': 0.3100946545600891, 'redshifts/mse_bin_0': 0.43640077114105225, 'redshifts/mse_bin_1': 0.35928502678871155, 'redshifts/mse_bin_2': 0.29177403450012207, 'redshifts/mse_bin_3': 0.2211400717496872, 'redshifts/mse_bin_4': 0.22724097967147827, 'redshifts/mse_bin_5': 0.07446379214525223, 'redshifts/nmad': 0.11165792495012283, 'redshifts/nmad_bin_0': 0.21174271404743195, 'redshifts/nmad_bin_1': 0.1331820785999298, 'redshifts/nmad_bin_2': 0.08750534802675247, 'redshifts/nmad_bin_3': 0.07107479125261307, 'redshifts/nmad_bin_4': 0.06347522139549255, 'redshifts/nmad_bin_5': 0.03513377532362938, 'redshifts/outlier_fraction': 0.32515260577201843, 'redshifts/outlier_fraction_bin_0': 0.488884299993515, 'redshifts/outlier_fraction_bin_1': 0.35485032200813293, 'redshifts/outlier_fraction_bin_2': 0.2545454502105713, 'redshifts/outlier_fraction_bin_3': 0.19738276302814484, 'redshifts/outlier_fraction_bin_4': 0.1871345043182373, 'redshifts/outlier_fraction_bin_5': 0.09234165400266647, 'redshifts/outlier_fraction_cata': 0.08781611919403076, 'redshifts/outlier_fraction_cata_bin_0': 0.1315300464630127, 'redshifts/outlier_fraction_cata_bin_1': 0.09736652672290802, 'redshifts/outlier_fraction_cata_bin_2': 0.07800982892513275, 'redshifts/outlier_fraction_cata_bin_3': 0.05757906287908554, 'redshifts/outlier_fraction_cata_bin_4': 0.05774853751063347, 'redshifts/outlier_fraction_cata_bin_5': 0.01698448695242405}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1276/1563 [2:01:16<30:37, 6.40s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([80338.])\n", + "total num of pts: tensor([29085., 19462., 8146., 4588., 2738., 16319.])\n", + "{'redshifts/bias_abs': 0.07543665170669556, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09031946957111359, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.04741744324564934, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023702314123511314, 'redshifts/bias': 0.004475229419767857, 'redshifts/bias_bin_0': 0.028863511979579926, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00012440372665878385, 'redshifts/mse': 0.31006553769111633, 'redshifts/mse_bin_0': 0.4362223744392395, 'redshifts/mse_bin_1': 0.35948213934898376, 'redshifts/mse_bin_2': 0.29156216979026794, 'redshifts/mse_bin_3': 0.2210632562637329, 'redshifts/mse_bin_4': 0.22735898196697235, 'redshifts/mse_bin_5': 0.07441899925470352, 'redshifts/nmad': 0.11162738502025604, 'redshifts/nmad_bin_0': 0.21181504428386688, 'redshifts/nmad_bin_1': 0.13316857814788818, 'redshifts/nmad_bin_2': 0.08742989599704742, 'redshifts/nmad_bin_3': 0.07104422897100449, 'redshifts/nmad_bin_4': 0.06347522139549255, 'redshifts/nmad_bin_5': 0.035116471350193024, 'redshifts/outlier_fraction': 0.32513877749443054, 'redshifts/outlier_fraction_bin_0': 0.48880866169929504, 'redshifts/outlier_fraction_bin_1': 0.3548967242240906, 'redshifts/outlier_fraction_bin_2': 0.2543579638004303, 'redshifts/outlier_fraction_bin_3': 0.19747166335582733, 'redshifts/outlier_fraction_bin_4': 0.18736304342746735, 'redshifts/outlier_fraction_bin_5': 0.09228506684303284, 'redshifts/outlier_fraction_cata': 0.08780402690172195, 'redshifts/outlier_fraction_cata_bin_0': 0.13147670030593872, 'redshifts/outlier_fraction_cata_bin_1': 0.09742061793804169, 'redshifts/outlier_fraction_cata_bin_2': 0.07795237004756927, 'redshifts/outlier_fraction_cata_bin_3': 0.057541411370038986, 'redshifts/outlier_fraction_cata_bin_4': 0.057706356048583984, 'redshifts/outlier_fraction_cata_bin_5': 0.016974078491330147}\n", + "total num of pts: tensor([80404.])\n", + "total num of pts: tensor([29113., 19481., 8149., 4593., 2738., 16330.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1277/1563 [2:01:22<29:40, 6.23s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07544726133346558, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.04741744324564934, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023709308356046677, 'redshifts/bias': 0.004470332991331816, 'redshifts/bias_bin_0': 0.028833122923970222, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00012440372665878385, 'redshifts/mse': 0.3099547326564789, 'redshifts/mse_bin_0': 0.4360969364643097, 'redshifts/mse_bin_1': 0.35926929116249084, 'redshifts/mse_bin_2': 0.2914656400680542, 'redshifts/mse_bin_3': 0.22083830833435059, 'redshifts/mse_bin_4': 0.22735898196697235, 'redshifts/mse_bin_5': 0.0743778645992279, 'redshifts/nmad': 0.11163583397865295, 'redshifts/nmad_bin_0': 0.21178844571113586, 'redshifts/nmad_bin_1': 0.13311739265918732, 'redshifts/nmad_bin_2': 0.08742989599704742, 'redshifts/nmad_bin_3': 0.07098060101270676, 'redshifts/nmad_bin_4': 0.06347522139549255, 'redshifts/nmad_bin_5': 0.03512667492032051, 'redshifts/outlier_fraction': 0.3250957727432251, 'redshifts/outlier_fraction_bin_0': 0.48875072598457336, 'redshifts/outlier_fraction_bin_1': 0.3547559082508087, 'redshifts/outlier_fraction_bin_2': 0.2543870508670807, 'redshifts/outlier_fraction_bin_3': 0.19725669920444489, 'redshifts/outlier_fraction_bin_4': 0.18736304342746735, 'redshifts/outlier_fraction_bin_5': 0.09228414297103882, 'redshifts/outlier_fraction_cata': 0.08778170496225357, 'redshifts/outlier_fraction_cata_bin_0': 0.13145330548286438, 'redshifts/outlier_fraction_cata_bin_1': 0.09737692773342133, 'redshifts/outlier_fraction_cata_bin_2': 0.07792367041110992, 'redshifts/outlier_fraction_cata_bin_3': 0.05747877061367035, 'redshifts/outlier_fraction_cata_bin_4': 0.057706356048583984, 'redshifts/outlier_fraction_cata_bin_5': 0.016962645575404167}\n", + "total num of pts: tensor([80477.])\n", + "total num of pts: tensor([29137., 19506., 8157., 4595., 2742., 16340.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1278/1563 [2:01:28<28:18, 5.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07544726133346558, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09019730240106583, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.04739610105752945, 'redshifts/bias_abs_bin_4': 0.04264653101563454, 'redshifts/bias_abs_bin_5': 0.023689433932304382, 'redshifts/bias': 0.004468139261007309, 'redshifts/bias_bin_0': 0.02876032330095768, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.30999791622161865, 'redshifts/mse_bin_0': 0.4360904097557068, 'redshifts/mse_bin_1': 0.35958147048950195, 'redshifts/mse_bin_2': 0.29125702381134033, 'redshifts/mse_bin_3': 0.22074386477470398, 'redshifts/mse_bin_4': 0.2270670086145401, 'redshifts/mse_bin_5': 0.0743328407406807, 'redshifts/nmad': 0.1116378903388977, 'redshifts/nmad_bin_0': 0.2119051218032837, 'redshifts/nmad_bin_1': 0.13309505581855774, 'redshifts/nmad_bin_2': 0.08742638677358627, 'redshifts/nmad_bin_3': 0.0709635391831398, 'redshifts/nmad_bin_4': 0.06354290246963501, 'redshifts/nmad_bin_5': 0.03510839864611626, 'redshifts/outlier_fraction': 0.32508668303489685, 'redshifts/outlier_fraction_bin_0': 0.48879432678222656, 'redshifts/outlier_fraction_bin_1': 0.3547113835811615, 'redshifts/outlier_fraction_bin_2': 0.2542601525783539, 'redshifts/outlier_fraction_bin_3': 0.19717083871364594, 'redshifts/outlier_fraction_bin_4': 0.18745441734790802, 'redshifts/outlier_fraction_bin_5': 0.09222766011953354, 'redshifts/outlier_fraction_cata': 0.0877642035484314, 'redshifts/outlier_fraction_cata_bin_0': 0.13141366839408875, 'redshifts/outlier_fraction_cata_bin_1': 0.09740592539310455, 'redshifts/outlier_fraction_cata_bin_2': 0.07784724980592728, 'redshifts/outlier_fraction_cata_bin_3': 0.05745375528931618, 'redshifts/outlier_fraction_cata_bin_4': 0.05762217193841934, 'redshifts/outlier_fraction_cata_bin_5': 0.016952265053987503}\n", + "total num of pts: tensor([80548.])\n", + "total num of pts: tensor([29159., 19523., 8163., 4599., 2744., 16360.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1279/1563 [2:01:32<26:17, 5.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07544726133346558, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.0590035542845726, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04267844185233116, 'redshifts/bias_abs_bin_5': 0.023689433932304382, 'redshifts/bias': 0.00444229319691658, 'redshifts/bias_bin_0': 0.028698306530714035, 'redshifts/bias_bin_1': 0.010216212831437588, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.3099142909049988, 'redshifts/mse_bin_0': 0.4360552430152893, 'redshifts/mse_bin_1': 0.3594372868537903, 'redshifts/mse_bin_2': 0.2911844551563263, 'redshifts/mse_bin_3': 0.2205972671508789, 'redshifts/mse_bin_4': 0.22691138088703156, 'redshifts/mse_bin_5': 0.07436545193195343, 'redshifts/nmad': 0.11164825409650803, 'redshifts/nmad_bin_0': 0.21193397045135498, 'redshifts/nmad_bin_1': 0.13313229382038116, 'redshifts/nmad_bin_2': 0.0874711200594902, 'redshifts/nmad_bin_3': 0.07095202803611755, 'redshifts/nmad_bin_4': 0.0636737197637558, 'redshifts/nmad_bin_5': 0.03510839864611626, 'redshifts/outlier_fraction': 0.32508566975593567, 'redshifts/outlier_fraction_bin_0': 0.48876848816871643, 'redshifts/outlier_fraction_bin_1': 0.3548634946346283, 'redshifts/outlier_fraction_bin_2': 0.2541957497596741, 'redshifts/outlier_fraction_bin_3': 0.19721677899360657, 'redshifts/outlier_fraction_bin_4': 0.18731778860092163, 'redshifts/outlier_fraction_bin_5': 0.09223716706037521, 'redshifts/outlier_fraction_cata': 0.08773650228977203, 'redshifts/outlier_fraction_cata_bin_0': 0.13138310611248016, 'redshifts/outlier_fraction_cata_bin_1': 0.09732110798358917, 'redshifts/outlier_fraction_cata_bin_2': 0.07791253179311752, 'redshifts/outlier_fraction_cata_bin_3': 0.05740378424525261, 'redshifts/outlier_fraction_cata_bin_4': 0.05758017674088478, 'redshifts/outlier_fraction_cata_bin_5': 0.016992665827274323}\n", + "total num of pts: tensor([80611.])\n", + "total num of pts: tensor([29187., 19535., 8168., 4602., 2744., 16375.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1280/1563 [2:01:42<32:15, 6.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07542970031499863, 'redshifts/bias_abs_bin_0': 0.14472676813602448, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04267844185233116, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004430592060089111, 'redshifts/bias_bin_0': 0.028701702132821083, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.30983245372772217, 'redshifts/mse_bin_0': 0.43582314252853394, 'redshifts/mse_bin_1': 0.35950517654418945, 'redshifts/mse_bin_2': 0.29121139645576477, 'redshifts/mse_bin_3': 0.22045494616031647, 'redshifts/mse_bin_4': 0.22691138088703156, 'redshifts/mse_bin_5': 0.07430776953697205, 'redshifts/nmad': 0.11162573844194412, 'redshifts/nmad_bin_0': 0.21181820333003998, 'redshifts/nmad_bin_1': 0.1331353336572647, 'redshifts/nmad_bin_2': 0.08742356300354004, 'redshifts/nmad_bin_3': 0.07094471156597137, 'redshifts/nmad_bin_4': 0.0636737197637558, 'redshifts/nmad_bin_5': 0.035077039152383804, 'redshifts/outlier_fraction': 0.3250300884246826, 'redshifts/outlier_fraction_bin_0': 0.4886079430580139, 'redshifts/outlier_fraction_bin_1': 0.3549014627933502, 'redshifts/outlier_fraction_bin_2': 0.25416257977485657, 'redshifts/outlier_fraction_bin_3': 0.19708822667598724, 'redshifts/outlier_fraction_bin_4': 0.18731778860092163, 'redshifts/outlier_fraction_bin_5': 0.09221374243497849, 'redshifts/outlier_fraction_cata': 0.08770515024662018, 'redshifts/outlier_fraction_cata_bin_0': 0.13129132986068726, 'redshifts/outlier_fraction_cata_bin_1': 0.09731251746416092, 'redshifts/outlier_fraction_cata_bin_2': 0.07798726856708527, 'redshifts/outlier_fraction_cata_bin_3': 0.05736636370420456, 'redshifts/outlier_fraction_cata_bin_4': 0.05758017674088478, 'redshifts/outlier_fraction_cata_bin_5': 0.0169770997017622}\n", + "total num of pts: tensor([80680.])\n", + "total num of pts: tensor([29211., 19556., 8173., 4608., 2746., 16386.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1281/1563 [2:01:47<30:10, 6.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07544726133346558, 'redshifts/bias_abs_bin_0': 0.14476251602172852, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04267844185233116, 'redshifts/bias_abs_bin_5': 0.02365754544734955, 'redshifts/bias': 0.0044137961231172085, 'redshifts/bias_bin_0': 0.028701702132821083, 'redshifts/bias_bin_1': 0.010138233192265034, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.3098485767841339, 'redshifts/mse_bin_0': 0.43594256043434143, 'redshifts/mse_bin_1': 0.3592860698699951, 'redshifts/mse_bin_2': 0.29164522886276245, 'redshifts/mse_bin_3': 0.22025446593761444, 'redshifts/mse_bin_4': 0.226750910282135, 'redshifts/mse_bin_5': 0.07426099479198456, 'redshifts/nmad': 0.11165059357881546, 'redshifts/nmad_bin_0': 0.21188735961914062, 'redshifts/nmad_bin_1': 0.1331900954246521, 'redshifts/nmad_bin_2': 0.08742638677358627, 'redshifts/nmad_bin_3': 0.0709087923169136, 'redshifts/nmad_bin_4': 0.06371752172708511, 'redshifts/nmad_bin_5': 0.035065338015556335, 'redshifts/outlier_fraction': 0.3250371813774109, 'redshifts/outlier_fraction_bin_0': 0.4886857569217682, 'redshifts/outlier_fraction_bin_1': 0.3548271656036377, 'redshifts/outlier_fraction_bin_2': 0.2542518079280853, 'redshifts/outlier_fraction_bin_3': 0.1970486044883728, 'redshifts/outlier_fraction_bin_4': 0.18718135356903076, 'redshifts/outlier_fraction_bin_5': 0.09215183556079865, 'redshifts/outlier_fraction_cata': 0.08771690726280212, 'redshifts/outlier_fraction_cata_bin_0': 0.13135462999343872, 'redshifts/outlier_fraction_cata_bin_1': 0.09725915640592575, 'redshifts/outlier_fraction_cata_bin_2': 0.07806190848350525, 'redshifts/outlier_fraction_cata_bin_3': 0.0572916679084301, 'redshifts/outlier_fraction_cata_bin_4': 0.0575382374227047, 'redshifts/outlier_fraction_cata_bin_5': 0.016965702176094055}\n", + "total num of pts: tensor([80742.])\n", + "total num of pts: tensor([29234., 19570., 8177., 4610., 2748., 16403.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1282/1563 [2:01:52<27:06, 5.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07542970031499863, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04267844185233116, 'redshifts/bias_abs_bin_5': 0.023660309612751007, 'redshifts/bias': 0.004424875136464834, 'redshifts/bias_bin_0': 0.028693173080682755, 'redshifts/bias_bin_1': 0.010216212831437588, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.00010766087507363409, 'redshifts/mse': 0.30971771478652954, 'redshifts/mse_bin_0': 0.43569260835647583, 'redshifts/mse_bin_1': 0.35931241512298584, 'redshifts/mse_bin_2': 0.2915098965167999, 'redshifts/mse_bin_3': 0.2201630026102066, 'redshifts/mse_bin_4': 0.22658871114253998, 'redshifts/mse_bin_5': 0.07420174777507782, 'redshifts/nmad': 0.1116262823343277, 'redshifts/nmad_bin_0': 0.21168580651283264, 'redshifts/nmad_bin_1': 0.13313229382038116, 'redshifts/nmad_bin_2': 0.08742161095142365, 'redshifts/nmad_bin_3': 0.0709087923169136, 'redshifts/nmad_bin_4': 0.06366906315088272, 'redshifts/nmad_bin_5': 0.03507525473833084, 'redshifts/outlier_fraction': 0.3248990476131439, 'redshifts/outlier_fraction_bin_0': 0.48843812942504883, 'redshifts/outlier_fraction_bin_1': 0.3547266125679016, 'redshifts/outlier_fraction_bin_2': 0.2541274428367615, 'redshifts/outlier_fraction_bin_3': 0.1969631165266037, 'redshifts/outlier_fraction_bin_4': 0.1870451271533966, 'redshifts/outlier_fraction_bin_5': 0.09217826277017593, 'redshifts/outlier_fraction_cata': 0.0876867026090622, 'redshifts/outlier_fraction_cata_bin_0': 0.13128548860549927, 'redshifts/outlier_fraction_cata_bin_1': 0.09729177504777908, 'redshifts/outlier_fraction_cata_bin_2': 0.07802372425794601, 'redshifts/outlier_fraction_cata_bin_3': 0.05726681277155876, 'redshifts/outlier_fraction_cata_bin_4': 0.057496361434459686, 'redshifts/outlier_fraction_cata_bin_5': 0.016948118805885315}\n", + "total num of pts: tensor([80808.])\n", + "total num of pts: tensor([29252., 19596., 8185., 4613., 2751., 16411.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1283/1563 [2:01:58<27:04, 5.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07542740553617477, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.0044107139110565186, 'redshifts/bias_bin_0': 0.028623385354876518, 'redshifts/bias_bin_1': 0.010214167647063732, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.30976030230522156, 'redshifts/mse_bin_0': 0.4357566833496094, 'redshifts/mse_bin_1': 0.35932499170303345, 'redshifts/mse_bin_2': 0.2912742495536804, 'redshifts/mse_bin_3': 0.22002001106739044, 'redshifts/mse_bin_4': 0.22782617807388306, 'redshifts/mse_bin_5': 0.07417131215333939, 'redshifts/nmad': 0.11161921173334122, 'redshifts/nmad_bin_0': 0.21160611510276794, 'redshifts/nmad_bin_1': 0.13311409950256348, 'redshifts/nmad_bin_2': 0.08742031455039978, 'redshifts/nmad_bin_3': 0.07088840007781982, 'redshifts/nmad_bin_4': 0.06377110630273819, 'redshifts/nmad_bin_5': 0.03507855162024498, 'redshifts/outlier_fraction': 0.3248564600944519, 'redshifts/outlier_fraction_bin_0': 0.4883768558502197, 'redshifts/outlier_fraction_bin_1': 0.3546642065048218, 'redshifts/outlier_fraction_bin_2': 0.2540012300014496, 'redshifts/outlier_fraction_bin_3': 0.19683502614498138, 'redshifts/outlier_fraction_bin_4': 0.18756815791130066, 'redshifts/outlier_fraction_bin_5': 0.09213332831859589, 'redshifts/outlier_fraction_cata': 0.087701715528965, 'redshifts/outlier_fraction_cata_bin_0': 0.13130725920200348, 'redshifts/outlier_fraction_cata_bin_1': 0.09731578081846237, 'redshifts/outlier_fraction_cata_bin_2': 0.0779474675655365, 'redshifts/outlier_fraction_cata_bin_3': 0.05722956731915474, 'redshifts/outlier_fraction_cata_bin_4': 0.05779716372489929, 'redshifts/outlier_fraction_cata_bin_5': 0.016939857974648476}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1284/1563 [2:02:04<27:14, 5.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([80870.])\n", + "total num of pts: tensor([29274., 19616., 8188., 4615., 2755., 16422.])\n", + "{'redshifts/bias_abs': 0.0754220113158226, 'redshifts/bias_abs_bin_0': 0.14462120831012726, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004402024205774069, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.010226733982563019, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.3096373677253723, 'redshifts/mse_bin_0': 0.43553176522254944, 'redshifts/mse_bin_1': 0.3591594696044922, 'redshifts/mse_bin_2': 0.2911756634712219, 'redshifts/mse_bin_3': 0.21992699801921844, 'redshifts/mse_bin_4': 0.2282918393611908, 'redshifts/mse_bin_5': 0.07412462681531906, 'redshifts/nmad': 0.11162591725587845, 'redshifts/nmad_bin_0': 0.2116026133298874, 'redshifts/nmad_bin_1': 0.13309291005134583, 'redshifts/nmad_bin_2': 0.08741878718137741, 'redshifts/nmad_bin_3': 0.07088840007781982, 'redshifts/nmad_bin_4': 0.06372441351413727, 'redshifts/nmad_bin_5': 0.03506395220756531, 'redshifts/outlier_fraction': 0.32480522990226746, 'redshifts/outlier_fraction_bin_0': 0.4882831275463104, 'redshifts/outlier_fraction_bin_1': 0.3546084761619568, 'redshifts/outlier_fraction_bin_2': 0.2540302872657776, 'redshifts/outlier_fraction_bin_3': 0.1967497318983078, 'redshifts/outlier_fraction_bin_4': 0.18765880167484283, 'redshifts/outlier_fraction_bin_5': 0.09207160770893097, 'redshifts/outlier_fraction_cata': 0.08767157047986984, 'redshifts/outlier_fraction_cata_bin_0': 0.13124273717403412, 'redshifts/outlier_fraction_cata_bin_1': 0.09726753830909729, 'redshifts/outlier_fraction_cata_bin_2': 0.0779189020395279, 'redshifts/outlier_fraction_cata_bin_3': 0.05720476806163788, 'redshifts/outlier_fraction_cata_bin_4': 0.058076225221157074, 'redshifts/outlier_fraction_cata_bin_5': 0.01692851074039936}\n", + "total num of pts: tensor([80934.])\n", + "total num of pts: tensor([29294., 19633., 8197., 4622., 2757., 16431.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1285/1563 [2:02:08<25:15, 5.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07542063295841217, 'redshifts/bias_abs_bin_0': 0.1445728987455368, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004396793898195028, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 9.19453741516918e-05, 'redshifts/mse': 0.3095431625843048, 'redshifts/mse_bin_0': 0.4353683292865753, 'redshifts/mse_bin_1': 0.3590603470802307, 'redshifts/mse_bin_2': 0.2911822497844696, 'redshifts/mse_bin_3': 0.2198975533246994, 'redshifts/mse_bin_4': 0.2281339466571808, 'redshifts/mse_bin_5': 0.07408484071493149, 'redshifts/nmad': 0.11162202805280685, 'redshifts/nmad_bin_0': 0.2116026133298874, 'redshifts/nmad_bin_1': 0.13309842348098755, 'redshifts/nmad_bin_2': 0.08745165169239044, 'redshifts/nmad_bin_3': 0.07086934894323349, 'redshifts/nmad_bin_4': 0.06372441351413727, 'redshifts/nmad_bin_5': 0.03506395220756531, 'redshifts/outlier_fraction': 0.32477080821990967, 'redshifts/outlier_fraction_bin_0': 0.4882228374481201, 'redshifts/outlier_fraction_bin_1': 0.3545561134815216, 'redshifts/outlier_fraction_bin_2': 0.25411736965179443, 'redshifts/outlier_fraction_bin_3': 0.19688446819782257, 'redshifts/outlier_fraction_bin_4': 0.18752266466617584, 'redshifts/outlier_fraction_bin_5': 0.09202118217945099, 'redshifts/outlier_fraction_cata': 0.08766402304172516, 'redshifts/outlier_fraction_cata_bin_0': 0.13118727505207062, 'redshifts/outlier_fraction_cata_bin_1': 0.09723424911499023, 'redshifts/outlier_fraction_cata_bin_2': 0.07807734608650208, 'redshifts/outlier_fraction_cata_bin_3': 0.05733448639512062, 'redshifts/outlier_fraction_cata_bin_4': 0.05803409591317177, 'redshifts/outlier_fraction_cata_bin_5': 0.01691923849284649}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1286/1563 [2:02:15<26:42, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([81000.])\n", + "total num of pts: tensor([29317., 19654., 8201., 4626., 2758., 16444.])\n", + "{'redshifts/bias_abs': 0.07540979981422424, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004400321748107672, 'redshifts/bias_bin_0': 0.028541402891278267, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00012642316869460046, 'redshifts/mse': 0.3094543218612671, 'redshifts/mse_bin_0': 0.4352148771286011, 'redshifts/mse_bin_1': 0.35902103781700134, 'redshifts/mse_bin_2': 0.2910650670528412, 'redshifts/mse_bin_3': 0.2198486477136612, 'redshifts/mse_bin_4': 0.22805361449718475, 'redshifts/mse_bin_5': 0.07403162866830826, 'redshifts/nmad': 0.11160380393266678, 'redshifts/nmad_bin_0': 0.2115805447101593, 'redshifts/nmad_bin_1': 0.13303911685943604, 'redshifts/nmad_bin_2': 0.08745165169239044, 'redshifts/nmad_bin_3': 0.0709385797381401, 'redshifts/nmad_bin_4': 0.0636737197637558, 'redshifts/nmad_bin_5': 0.035060666501522064, 'redshifts/outlier_fraction': 0.3246913552284241, 'redshifts/outlier_fraction_bin_0': 0.4881468117237091, 'redshifts/outlier_fraction_bin_1': 0.354329913854599, 'redshifts/outlier_fraction_bin_2': 0.25411534309387207, 'redshifts/outlier_fraction_bin_3': 0.19714656472206116, 'redshifts/outlier_fraction_bin_4': 0.18745467066764832, 'redshifts/outlier_fraction_bin_5': 0.09194843471050262, 'redshifts/outlier_fraction_cata': 0.08764197677373886, 'redshifts/outlier_fraction_cata_bin_0': 0.13111846148967743, 'redshifts/outlier_fraction_cata_bin_1': 0.09728299826383591, 'redshifts/outlier_fraction_cata_bin_2': 0.0780392661690712, 'redshifts/outlier_fraction_cata_bin_3': 0.05728491023182869, 'redshifts/outlier_fraction_cata_bin_4': 0.05801305174827576, 'redshifts/outlier_fraction_cata_bin_5': 0.01690586283802986}\n", + "total num of pts: tensor([81057.])\n", + "total num of pts: tensor([29334., 19670., 8209., 4630., 2761., 16453.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1287/1563 [2:02:19<25:04, 5.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07539743930101395, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.0590035542845726, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02365754544734955, 'redshifts/bias': 0.004402677062898874, 'redshifts/bias_bin_0': 0.02854723483324051, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00012919306755065918, 'redshifts/mse': 0.3093470335006714, 'redshifts/mse_bin_0': 0.4351221024990082, 'redshifts/mse_bin_1': 0.3587868809700012, 'redshifts/mse_bin_2': 0.2908463776111603, 'redshifts/mse_bin_3': 0.21968352794647217, 'redshifts/mse_bin_4': 0.22869309782981873, 'redshifts/mse_bin_5': 0.07399283349514008, 'redshifts/nmad': 0.11157534271478653, 'redshifts/nmad_bin_0': 0.21153946220874786, 'redshifts/nmad_bin_1': 0.1329668164253235, 'redshifts/nmad_bin_2': 0.08749296516180038, 'redshifts/nmad_bin_3': 0.07092702388763428, 'redshifts/nmad_bin_4': 0.0637323334813118, 'redshifts/nmad_bin_5': 0.035068634897470474, 'redshifts/outlier_fraction': 0.3245987296104431, 'redshifts/outlier_fraction_bin_0': 0.48806846141815186, 'redshifts/outlier_fraction_bin_1': 0.354143351316452, 'redshifts/outlier_fraction_bin_2': 0.2541113495826721, 'redshifts/outlier_fraction_bin_3': 0.19697624444961548, 'redshifts/outlier_fraction_bin_4': 0.18761318922042847, 'redshifts/outlier_fraction_bin_5': 0.09189813584089279, 'redshifts/outlier_fraction_cata': 0.08760502189397812, 'redshifts/outlier_fraction_cata_bin_0': 0.13107655942440033, 'redshifts/outlier_fraction_cata_bin_1': 0.09720386564731598, 'redshifts/outlier_fraction_cata_bin_2': 0.0779632106423378, 'redshifts/outlier_fraction_cata_bin_3': 0.05723541975021362, 'redshifts/outlier_fraction_cata_bin_4': 0.05831220746040344, 'redshifts/outlier_fraction_cata_bin_5': 0.01689661480486393}\n", + "total num of pts: tensor([81117.])\n", + "total num of pts: tensor([29354., 19685., 8213., 4635., 2761., 16469.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1288/1563 [2:02:25<24:56, 5.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0753995031118393, 'redshifts/bias_abs_bin_0': 0.14454174041748047, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.04739610105752945, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004402677062898874, 'redshifts/bias_bin_0': 0.02855566143989563, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00012919306755065918, 'redshifts/mse': 0.30949580669403076, 'redshifts/mse_bin_0': 0.4351964294910431, 'redshifts/mse_bin_1': 0.3587893843650818, 'redshifts/mse_bin_2': 0.29090431332588196, 'redshifts/mse_bin_3': 0.2204774022102356, 'redshifts/mse_bin_4': 0.22869309782981873, 'redshifts/mse_bin_5': 0.07440046221017838, 'redshifts/nmad': 0.11158055067062378, 'redshifts/nmad_bin_0': 0.21154768764972687, 'redshifts/nmad_bin_1': 0.13300612568855286, 'redshifts/nmad_bin_2': 0.08750972151756287, 'redshifts/nmad_bin_3': 0.07098810374736786, 'redshifts/nmad_bin_4': 0.0637323334813118, 'redshifts/nmad_bin_5': 0.03505656123161316, 'redshifts/outlier_fraction': 0.324691504240036, 'redshifts/outlier_fraction_bin_0': 0.48814472556114197, 'redshifts/outlier_fraction_bin_1': 0.35427990555763245, 'redshifts/outlier_fraction_bin_2': 0.254352867603302, 'redshifts/outlier_fraction_bin_3': 0.19719524681568146, 'redshifts/outlier_fraction_bin_4': 0.18761318922042847, 'redshifts/outlier_fraction_bin_5': 0.09193029254674911, 'redshifts/outlier_fraction_cata': 0.0876881554722786, 'redshifts/outlier_fraction_cata_bin_0': 0.13122572004795074, 'redshifts/outlier_fraction_cata_bin_1': 0.09723139554262161, 'redshifts/outlier_fraction_cata_bin_2': 0.07792524248361588, 'redshifts/outlier_fraction_cata_bin_3': 0.05738942697644234, 'redshifts/outlier_fraction_cata_bin_4': 0.05831220746040344, 'redshifts/outlier_fraction_cata_bin_5': 0.017001640051603317}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 82%|████████▏ | 1289/1563 [2:02:30<24:11, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([81163.])\n", + "total num of pts: tensor([29368., 19698., 8219., 4636., 2763., 16479.])\n", + "{'redshifts/bias_abs': 0.0753995031118393, 'redshifts/bias_abs_bin_0': 0.1445392370223999, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02362706884741783, 'redshifts/bias': 0.004410486668348312, 'redshifts/bias_bin_0': 0.028576871380209923, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.3095065951347351, 'redshifts/mse_bin_0': 0.43510231375694275, 'redshifts/mse_bin_1': 0.3590991795063019, 'redshifts/mse_bin_2': 0.2908022999763489, 'redshifts/mse_bin_3': 0.22043010592460632, 'redshifts/mse_bin_4': 0.2285318225622177, 'redshifts/mse_bin_5': 0.0743609368801117, 'redshifts/nmad': 0.11159463226795197, 'redshifts/nmad_bin_0': 0.21152345836162567, 'redshifts/nmad_bin_1': 0.13306772708892822, 'redshifts/nmad_bin_2': 0.08750826865434647, 'redshifts/nmad_bin_3': 0.07093867659568787, 'redshifts/nmad_bin_4': 0.0637323334813118, 'redshifts/nmad_bin_5': 0.03504414111375809, 'redshifts/outlier_fraction': 0.32466763257980347, 'redshifts/outlier_fraction_bin_0': 0.48808225989341736, 'redshifts/outlier_fraction_bin_1': 0.35440146923065186, 'redshifts/outlier_fraction_bin_2': 0.25428885221481323, 'redshifts/outlier_fraction_bin_3': 0.19715271890163422, 'redshifts/outlier_fraction_bin_4': 0.18747738003730774, 'redshifts/outlier_fraction_bin_5': 0.09187451004981995, 'redshifts/outlier_fraction_cata': 0.08767541497945786, 'redshifts/outlier_fraction_cata_bin_0': 0.13119721412658691, 'redshifts/outlier_fraction_cata_bin_1': 0.09726876020431519, 'redshifts/outlier_fraction_cata_bin_2': 0.07786835730075836, 'redshifts/outlier_fraction_cata_bin_3': 0.05737704783678055, 'redshifts/outlier_fraction_cata_bin_4': 0.05826999619603157, 'redshifts/outlier_fraction_cata_bin_5': 0.016991322860121727}\n", + "total num of pts: tensor([81219.])\n", + "total num of pts: tensor([29386., 19714., 8228., 4640., 2765., 16486.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1290/1563 [2:02:35<23:23, 5.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07540204375982285, 'redshifts/bias_abs_bin_0': 0.1445392370223999, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04739610105752945, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.02362706884741783, 'redshifts/bias': 0.004424875136464834, 'redshifts/bias_bin_0': 0.02858639322221279, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00012984871864318848, 'redshifts/mse': 0.3095514178276062, 'redshifts/mse_bin_0': 0.43524008989334106, 'redshifts/mse_bin_1': 0.35909751057624817, 'redshifts/mse_bin_2': 0.2907162606716156, 'redshifts/mse_bin_3': 0.22025971114635468, 'redshifts/mse_bin_4': 0.22836759686470032, 'redshifts/mse_bin_5': 0.07441289722919464, 'redshifts/nmad': 0.11159097403287888, 'redshifts/nmad_bin_0': 0.21151632070541382, 'redshifts/nmad_bin_1': 0.13300803303718567, 'redshifts/nmad_bin_2': 0.08746001869440079, 'redshifts/nmad_bin_3': 0.0709880068898201, 'redshifts/nmad_bin_4': 0.0636737197637558, 'redshifts/nmad_bin_5': 0.03504414111375809, 'redshifts/outlier_fraction': 0.3246653974056244, 'redshifts/outlier_fraction_bin_0': 0.4880555272102356, 'redshifts/outlier_fraction_bin_1': 0.3544689118862152, 'redshifts/outlier_fraction_bin_2': 0.2541322410106659, 'redshifts/outlier_fraction_bin_3': 0.1969827562570572, 'redshifts/outlier_fraction_bin_4': 0.18734177947044373, 'redshifts/outlier_fraction_bin_5': 0.09195680916309357, 'redshifts/outlier_fraction_cata': 0.08773808926343918, 'redshifts/outlier_fraction_cata_bin_0': 0.13128700852394104, 'redshifts/outlier_fraction_cata_bin_1': 0.09734199196100235, 'redshifts/outlier_fraction_cata_bin_2': 0.07790471613407135, 'redshifts/outlier_fraction_cata_bin_3': 0.05732758715748787, 'redshifts/outlier_fraction_cata_bin_4': 0.05822784826159477, 'redshifts/outlier_fraction_cata_bin_5': 0.01704476587474346}\n", + "total num of pts: tensor([81281.])\n", + "total num of pts: tensor([29402., 19730., 8235., 4647., 2767., 16500.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1291/1563 [2:02:42<26:28, 5.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07538674026727676, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.0590035542845726, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.023615658283233643, 'redshifts/bias': 0.004404515027999878, 'redshifts/bias_bin_0': 0.028576871380209923, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.30948618054389954, 'redshifts/mse_bin_0': 0.4353419542312622, 'redshifts/mse_bin_1': 0.3589693605899811, 'redshifts/mse_bin_2': 0.29054251313209534, 'redshifts/mse_bin_3': 0.2199440747499466, 'redshifts/mse_bin_4': 0.22820940613746643, 'redshifts/mse_bin_5': 0.07435082644224167, 'redshifts/nmad': 0.1115521714091301, 'redshifts/nmad_bin_0': 0.21151338517665863, 'redshifts/nmad_bin_1': 0.13306212425231934, 'redshifts/nmad_bin_2': 0.08749090135097504, 'redshifts/nmad_bin_3': 0.0709880068898201, 'redshifts/nmad_bin_4': 0.06371752172708511, 'redshifts/nmad_bin_5': 0.035033077001571655, 'redshifts/outlier_fraction': 0.3245776891708374, 'redshifts/outlier_fraction_bin_0': 0.48802801966667175, 'redshifts/outlier_fraction_bin_1': 0.354384183883667, 'redshifts/outlier_fraction_bin_2': 0.25403764843940735, 'redshifts/outlier_fraction_bin_3': 0.19690123200416565, 'redshifts/outlier_fraction_bin_4': 0.18720635771751404, 'redshifts/outlier_fraction_bin_5': 0.09187878668308258, 'redshifts/outlier_fraction_cata': 0.08773268014192581, 'redshifts/outlier_fraction_cata_bin_0': 0.13135160505771637, 'redshifts/outlier_fraction_cata_bin_1': 0.09731373190879822, 'redshifts/outlier_fraction_cata_bin_2': 0.07783849537372589, 'redshifts/outlier_fraction_cata_bin_3': 0.057241231203079224, 'redshifts/outlier_fraction_cata_bin_4': 0.05818575993180275, 'redshifts/outlier_fraction_cata_bin_5': 0.017030302435159683}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1292/1563 [2:02:47<25:02, 5.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([81351.])\n", + "total num of pts: tensor([29432., 19747., 8242., 4649., 2769., 16512.])\n", + "{'redshifts/bias_abs': 0.07539220154285431, 'redshifts/bias_abs_bin_0': 0.14455822110176086, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.047369569540023804, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004413503687828779, 'redshifts/bias_bin_0': 0.028576871380209923, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.3094153106212616, 'redshifts/mse_bin_0': 0.43537062406539917, 'redshifts/mse_bin_1': 0.3587421774864197, 'redshifts/mse_bin_2': 0.29031485319137573, 'redshifts/mse_bin_3': 0.219852015376091, 'redshifts/mse_bin_4': 0.22805389761924744, 'redshifts/mse_bin_5': 0.07430770993232727, 'redshifts/nmad': 0.11155954748392105, 'redshifts/nmad_bin_0': 0.211537167429924, 'redshifts/nmad_bin_1': 0.1329762041568756, 'redshifts/nmad_bin_2': 0.0874016284942627, 'redshifts/nmad_bin_3': 0.07098810374736786, 'redshifts/nmad_bin_4': 0.06366906315088272, 'redshifts/nmad_bin_5': 0.03503614291548729, 'redshifts/outlier_fraction': 0.32456883788108826, 'redshifts/outlier_fraction_bin_0': 0.48810818791389465, 'redshifts/outlier_fraction_bin_1': 0.3542310297489166, 'redshifts/outlier_fraction_bin_2': 0.25394320487976074, 'redshifts/outlier_fraction_bin_3': 0.19681651890277863, 'redshifts/outlier_fraction_bin_4': 0.18707114458084106, 'redshifts/outlier_fraction_bin_5': 0.09187258034944534, 'redshifts/outlier_fraction_cata': 0.0877186506986618, 'redshifts/outlier_fraction_cata_bin_0': 0.1313876062631607, 'redshifts/outlier_fraction_cata_bin_1': 0.0972299575805664, 'redshifts/outlier_fraction_cata_bin_2': 0.07777238637208939, 'redshifts/outlier_fraction_cata_bin_3': 0.05721660703420639, 'redshifts/outlier_fraction_cata_bin_4': 0.0581437349319458, 'redshifts/outlier_fraction_cata_bin_5': 0.017017927020788193}\n", + "total num of pts: tensor([81422.])\n", + "total num of pts: tensor([29467., 19762., 8249., 4652., 2769., 16523.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1293/1563 [2:02:52<23:53, 5.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07538063079118729, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.09001720696687698, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004402677062898874, 'redshifts/bias_bin_0': 0.028558094054460526, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.00013360381126403809, 'redshifts/mse': 0.3094515800476074, 'redshifts/mse_bin_0': 0.4354080855846405, 'redshifts/mse_bin_1': 0.3586408793926239, 'redshifts/mse_bin_2': 0.2906895577907562, 'redshifts/mse_bin_3': 0.21972361207008362, 'redshifts/mse_bin_4': 0.22805389761924744, 'redshifts/mse_bin_5': 0.0742592141032219, 'redshifts/nmad': 0.11154033243656158, 'redshifts/nmad_bin_0': 0.21154408156871796, 'redshifts/nmad_bin_1': 0.1329248547554016, 'redshifts/nmad_bin_2': 0.08739438652992249, 'redshifts/nmad_bin_3': 0.07093867659568787, 'redshifts/nmad_bin_4': 0.06366906315088272, 'redshifts/nmad_bin_5': 0.035038575530052185, 'redshifts/outlier_fraction': 0.3245314657688141, 'redshifts/outlier_fraction_bin_0': 0.48803746700286865, 'redshifts/outlier_fraction_bin_1': 0.35406336188316345, 'redshifts/outlier_fraction_bin_2': 0.2539701759815216, 'redshifts/outlier_fraction_bin_3': 0.19690455496311188, 'redshifts/outlier_fraction_bin_4': 0.18707114458084106, 'redshifts/outlier_fraction_bin_5': 0.0918114110827446, 'redshifts/outlier_fraction_cata': 0.08772813528776169, 'redshifts/outlier_fraction_cata_bin_0': 0.13140122592449188, 'redshifts/outlier_fraction_cata_bin_1': 0.09720676392316818, 'redshifts/outlier_fraction_cata_bin_2': 0.07782761752605438, 'redshifts/outlier_fraction_cata_bin_3': 0.057179708033800125, 'redshifts/outlier_fraction_cata_bin_4': 0.0581437349319458, 'redshifts/outlier_fraction_cata_bin_5': 0.01700659655034542}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1294/1563 [2:02:56<21:57, 4.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([81472.])\n", + "total num of pts: tensor([29480., 19774., 8257., 4655., 2771., 16535.])\n", + "{'redshifts/bias_abs': 0.07534439116716385, 'redshifts/bias_abs_bin_0': 0.1445152759552002, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.00438218517228961, 'redshifts/bias_bin_0': 0.028539584949612617, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00013080239295959473, 'redshifts/mse': 0.30936434864997864, 'redshifts/mse_bin_0': 0.4352775514125824, 'redshifts/mse_bin_1': 0.35861915349960327, 'redshifts/mse_bin_2': 0.2907024621963501, 'redshifts/mse_bin_3': 0.2196149379014969, 'redshifts/mse_bin_4': 0.22791840136051178, 'redshifts/mse_bin_5': 0.07420618832111359, 'redshifts/nmad': 0.11150757968425751, 'redshifts/nmad_bin_0': 0.2114681750535965, 'redshifts/nmad_bin_1': 0.13295167684555054, 'redshifts/nmad_bin_2': 0.0873737782239914, 'redshifts/nmad_bin_3': 0.07093867659568787, 'redshifts/nmad_bin_4': 0.0637906864285469, 'redshifts/nmad_bin_5': 0.035025015473365784, 'redshifts/outlier_fraction': 0.3244795799255371, 'redshifts/outlier_fraction_bin_0': 0.4878900945186615, 'redshifts/outlier_fraction_bin_1': 0.3541519045829773, 'redshifts/outlier_fraction_bin_2': 0.2540874481201172, 'redshifts/outlier_fraction_bin_3': 0.19699248671531677, 'redshifts/outlier_fraction_bin_4': 0.1869361251592636, 'redshifts/outlier_fraction_bin_5': 0.09174478054046631, 'redshifts/outlier_fraction_cata': 0.08771111816167831, 'redshifts/outlier_fraction_cata_bin_0': 0.1313772052526474, 'redshifts/outlier_fraction_cata_bin_1': 0.09719834476709366, 'redshifts/outlier_fraction_cata_bin_2': 0.07787331938743591, 'redshifts/outlier_fraction_cata_bin_3': 0.05714285746216774, 'redshifts/outlier_fraction_cata_bin_4': 0.05810176953673363, 'redshifts/outlier_fraction_cata_bin_5': 0.016994254663586617}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1295/1563 [2:03:01<22:00, 4.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([81530.])\n", + "total num of pts: tensor([29500., 19785., 8264., 4661., 2773., 16547.])\n", + "{'redshifts/bias_abs': 0.07532662153244019, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023587072268128395, 'redshifts/bias': 0.004377124831080437, 'redshifts/bias_bin_0': 0.028541402891278267, 'redshifts/bias_bin_1': 0.010279066860675812, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.00013914685405325145, 'redshifts/mse': 0.309384286403656, 'redshifts/mse_bin_0': 0.43525221943855286, 'redshifts/mse_bin_1': 0.3587191104888916, 'redshifts/mse_bin_2': 0.2911183834075928, 'redshifts/mse_bin_3': 0.21934747695922852, 'redshifts/mse_bin_4': 0.22776170074939728, 'redshifts/mse_bin_5': 0.07415996491909027, 'redshifts/nmad': 0.1114649623632431, 'redshifts/nmad_bin_0': 0.21145765483379364, 'redshifts/nmad_bin_1': 0.1329813003540039, 'redshifts/nmad_bin_2': 0.0873737782239914, 'redshifts/nmad_bin_3': 0.07082795351743698, 'redshifts/nmad_bin_4': 0.06381956487894058, 'redshifts/nmad_bin_5': 0.034996625036001205, 'redshifts/outlier_fraction': 0.3244082033634186, 'redshifts/outlier_fraction_bin_0': 0.4877966046333313, 'redshifts/outlier_fraction_bin_1': 0.3541571795940399, 'redshifts/outlier_fraction_bin_2': 0.2541142404079437, 'redshifts/outlier_fraction_bin_3': 0.19673889875411987, 'redshifts/outlier_fraction_bin_4': 0.18680129945278168, 'redshifts/outlier_fraction_bin_5': 0.09167824685573578, 'redshifts/outlier_fraction_cata': 0.08771004527807236, 'redshifts/outlier_fraction_cata_bin_0': 0.1313898265361786, 'redshifts/outlier_fraction_cata_bin_1': 0.0971948429942131, 'redshifts/outlier_fraction_cata_bin_2': 0.07792836427688599, 'redshifts/outlier_fraction_cata_bin_3': 0.05706929787993431, 'redshifts/outlier_fraction_cata_bin_4': 0.05805986374616623, 'redshifts/outlier_fraction_cata_bin_5': 0.016981929540634155}\n", + "total num of pts: tensor([81603.])\n", + "total num of pts: tensor([29523., 19806., 8270., 4664., 2774., 16566.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1296/1563 [2:03:05<20:58, 4.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07532338798046112, 'redshifts/bias_abs_bin_0': 0.1445152759552002, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.02854987606406212, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00013524293899536133, 'redshifts/mse': 0.30931007862091064, 'redshifts/mse_bin_0': 0.43520429730415344, 'redshifts/mse_bin_1': 0.3586861193180084, 'redshifts/mse_bin_2': 0.2909921407699585, 'redshifts/mse_bin_3': 0.21926423907279968, 'redshifts/mse_bin_4': 0.2276802510023117, 'redshifts/mse_bin_5': 0.07407985627651215, 'redshifts/nmad': 0.11145827919244766, 'redshifts/nmad_bin_0': 0.2114293873310089, 'redshifts/nmad_bin_1': 0.13298450410366058, 'redshifts/nmad_bin_2': 0.0873737782239914, 'redshifts/nmad_bin_3': 0.07081777602434158, 'redshifts/nmad_bin_4': 0.06372441351413727, 'redshifts/nmad_bin_5': 0.03496870771050453, 'redshifts/outlier_fraction': 0.3244488537311554, 'redshifts/outlier_fraction_bin_0': 0.4878908097743988, 'redshifts/outlier_fraction_bin_1': 0.3542865812778473, 'redshifts/outlier_fraction_bin_2': 0.2540507912635803, 'redshifts/outlier_fraction_bin_3': 0.1968267560005188, 'redshifts/outlier_fraction_bin_4': 0.18673396110534668, 'redshifts/outlier_fraction_bin_5': 0.09163346886634827, 'redshifts/outlier_fraction_cata': 0.08766834437847137, 'redshifts/outlier_fraction_cata_bin_0': 0.13132134079933167, 'redshifts/outlier_fraction_cata_bin_1': 0.09719277173280716, 'redshifts/outlier_fraction_cata_bin_2': 0.07787182927131653, 'redshifts/outlier_fraction_cata_bin_3': 0.05703258886933327, 'redshifts/outlier_fraction_cata_bin_4': 0.05803893133997917, 'redshifts/outlier_fraction_cata_bin_5': 0.016962453722953796}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1297/1563 [2:03:11<23:16, 5.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([81660.])\n", + "total num of pts: tensor([29546., 19816., 8279., 4665., 2777., 16577.])\n", + "{'redshifts/bias_abs': 0.07532662153244019, 'redshifts/bias_abs_bin_0': 0.14442908763885498, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.028558094054460526, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.3092370629310608, 'redshifts/mse_bin_0': 0.4350953698158264, 'redshifts/mse_bin_1': 0.35871630907058716, 'redshifts/mse_bin_2': 0.29069432616233826, 'redshifts/mse_bin_3': 0.2192218005657196, 'redshifts/mse_bin_4': 0.22747011482715607, 'redshifts/mse_bin_5': 0.07405564934015274, 'redshifts/nmad': 0.11145700514316559, 'redshifts/nmad_bin_0': 0.21130670607089996, 'redshifts/nmad_bin_1': 0.1330132931470871, 'redshifts/nmad_bin_2': 0.08726678788661957, 'redshifts/nmad_bin_3': 0.07083945721387863, 'redshifts/nmad_bin_4': 0.06372441351413727, 'redshifts/nmad_bin_5': 0.03496651351451874, 'redshifts/outlier_fraction': 0.32440608739852905, 'redshifts/outlier_fraction_bin_0': 0.4877479076385498, 'redshifts/outlier_fraction_bin_1': 0.354259192943573, 'redshifts/outlier_fraction_bin_2': 0.2538954019546509, 'redshifts/outlier_fraction_bin_3': 0.19678457081317902, 'redshifts/outlier_fraction_bin_4': 0.1868923306465149, 'redshifts/outlier_fraction_bin_5': 0.09175363183021545, 'redshifts/outlier_fraction_cata': 0.08764389157295227, 'redshifts/outlier_fraction_cata_bin_0': 0.13128679990768433, 'redshifts/outlier_fraction_cata_bin_1': 0.09719418734312057, 'redshifts/outlier_fraction_cata_bin_2': 0.07778717577457428, 'redshifts/outlier_fraction_cata_bin_3': 0.057020366191864014, 'redshifts/outlier_fraction_cata_bin_4': 0.05797623470425606, 'redshifts/outlier_fraction_cata_bin_5': 0.016951197758316994}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1298/1563 [2:03:18<24:47, 5.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([81722.])\n", + "total num of pts: tensor([29575., 19830., 8286., 4667., 2778., 16586.])\n", + "{'redshifts/bias_abs': 0.07534439116716385, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09001720696687698, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023580757901072502, 'redshifts/bias': 0.00437708618119359, 'redshifts/bias_bin_0': 0.02854723483324051, 'redshifts/bias_bin_1': 0.010253148153424263, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.0001407605886925012, 'redshifts/mse': 0.30933618545532227, 'redshifts/mse_bin_0': 0.43516525626182556, 'redshifts/mse_bin_1': 0.3586154282093048, 'redshifts/mse_bin_2': 0.2909455895423889, 'redshifts/mse_bin_3': 0.21947671473026276, 'redshifts/mse_bin_4': 0.2273947298526764, 'redshifts/mse_bin_5': 0.07424496114253998, 'redshifts/nmad': 0.11147835105657578, 'redshifts/nmad_bin_0': 0.21132278442382812, 'redshifts/nmad_bin_1': 0.1330132931470871, 'redshifts/nmad_bin_2': 0.08724232017993927, 'redshifts/nmad_bin_3': 0.07083956152200699, 'redshifts/nmad_bin_4': 0.06372441351413727, 'redshifts/nmad_bin_5': 0.03498789295554161, 'redshifts/outlier_fraction': 0.3244781196117401, 'redshifts/outlier_fraction_bin_0': 0.4878106415271759, 'redshifts/outlier_fraction_bin_1': 0.35426121950149536, 'redshifts/outlier_fraction_bin_2': 0.2539222836494446, 'redshifts/outlier_fraction_bin_3': 0.19691450893878937, 'redshifts/outlier_fraction_bin_4': 0.18682505190372467, 'redshifts/outlier_fraction_bin_5': 0.09182442724704742, 'redshifts/outlier_fraction_cata': 0.08767528831958771, 'redshifts/outlier_fraction_cata_bin_0': 0.13129332661628723, 'redshifts/outlier_fraction_cata_bin_1': 0.09717599302530289, 'redshifts/outlier_fraction_cata_bin_2': 0.07784214615821838, 'redshifts/outlier_fraction_cata_bin_3': 0.057210199534893036, 'redshifts/outlier_fraction_cata_bin_4': 0.057955361902713776, 'redshifts/outlier_fraction_cata_bin_5': 0.017002291977405548}\n", + "total num of pts: tensor([81776.])\n", + "total num of pts: tensor([29592., 19846., 8289., 4670., 2782., 16597.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1299/1563 [2:03:24<25:09, 5.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07537964731454849, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09001720696687698, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.028519734740257263, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00014220314915291965, 'redshifts/mse': 0.3094092011451721, 'redshifts/mse_bin_0': 0.4351634979248047, 'redshifts/mse_bin_1': 0.35858023166656494, 'redshifts/mse_bin_2': 0.2911757826805115, 'redshifts/mse_bin_3': 0.2193472534418106, 'redshifts/mse_bin_4': 0.22944267094135284, 'redshifts/mse_bin_5': 0.07424689084291458, 'redshifts/nmad': 0.11153163760900497, 'redshifts/nmad_bin_0': 0.21132208406925201, 'redshifts/nmad_bin_1': 0.1329878568649292, 'redshifts/nmad_bin_2': 0.08729568868875504, 'redshifts/nmad_bin_3': 0.07082805037498474, 'redshifts/nmad_bin_4': 0.0638149082660675, 'redshifts/nmad_bin_5': 0.035001158714294434, 'redshifts/outlier_fraction': 0.3245573341846466, 'redshifts/outlier_fraction_bin_0': 0.4878683388233185, 'redshifts/outlier_fraction_bin_1': 0.35422754287719727, 'redshifts/outlier_fraction_bin_2': 0.2540716528892517, 'redshifts/outlier_fraction_bin_3': 0.1967880129814148, 'redshifts/outlier_fraction_bin_4': 0.18763479590415955, 'redshifts/outlier_fraction_bin_5': 0.09200458228588104, 'redshifts/outlier_fraction_cata': 0.08770299702882767, 'redshifts/outlier_fraction_cata_bin_0': 0.13128548860549927, 'redshifts/outlier_fraction_cata_bin_1': 0.09719842672348022, 'redshifts/outlier_fraction_cata_bin_2': 0.0779346153140068, 'redshifts/outlier_fraction_cata_bin_3': 0.05717344582080841, 'redshifts/outlier_fraction_cata_bin_4': 0.05859094113111496, 'redshifts/outlier_fraction_cata_bin_5': 0.0169910229742527}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1300/1563 [2:03:30<25:41, 5.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([81828.])\n", + "total num of pts: tensor([29607., 19859., 8296., 4673., 2782., 16611.])\n", + "{'redshifts/bias_abs': 0.07537964731454849, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.0043815672397613525, 'redshifts/bias_bin_0': 0.028514064848423004, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.30932438373565674, 'redshifts/mse_bin_0': 0.43505382537841797, 'redshifts/mse_bin_1': 0.3585659861564636, 'redshifts/mse_bin_2': 0.29094943404197693, 'redshifts/mse_bin_3': 0.21923595666885376, 'redshifts/mse_bin_4': 0.22944267094135284, 'redshifts/mse_bin_5': 0.07425618916749954, 'redshifts/nmad': 0.1115216389298439, 'redshifts/nmad_bin_0': 0.21125850081443787, 'redshifts/nmad_bin_1': 0.13300111889839172, 'redshifts/nmad_bin_2': 0.08732377737760544, 'redshifts/nmad_bin_3': 0.0709087923169136, 'redshifts/nmad_bin_4': 0.0638149082660675, 'redshifts/nmad_bin_5': 0.03497976437211037, 'redshifts/outlier_fraction': 0.3244977295398712, 'redshifts/outlier_fraction_bin_0': 0.48782381415367126, 'redshifts/outlier_fraction_bin_1': 0.35424745082855225, 'redshifts/outlier_fraction_bin_2': 0.253857284784317, 'redshifts/outlier_fraction_bin_3': 0.19666166603565216, 'redshifts/outlier_fraction_bin_4': 0.18763479590415955, 'redshifts/outlier_fraction_bin_5': 0.0919872373342514, 'redshifts/outlier_fraction_cata': 0.08768392354249954, 'redshifts/outlier_fraction_cata_bin_0': 0.13125275075435638, 'redshifts/outlier_fraction_cata_bin_1': 0.0971851572394371, 'redshifts/outlier_fraction_cata_bin_2': 0.07786884903907776, 'redshifts/outlier_fraction_cata_bin_3': 0.057136744260787964, 'redshifts/outlier_fraction_cata_bin_4': 0.05859094113111496, 'redshifts/outlier_fraction_cata_bin_5': 0.017036903649568558}\n", + "total num of pts: tensor([81886.])\n", + "total num of pts: tensor([29628., 19875., 8303., 4676., 2784., 16620.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1301/1563 [2:03:36<25:33, 5.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07538063079118729, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.0043815672397613525, 'redshifts/bias_bin_0': 0.028486449271440506, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.3093912899494171, 'redshifts/mse_bin_0': 0.43509742617607117, 'redshifts/mse_bin_1': 0.3584333062171936, 'redshifts/mse_bin_2': 0.29187631607055664, 'redshifts/mse_bin_3': 0.21910232305526733, 'redshifts/mse_bin_4': 0.2292788326740265, 'redshifts/mse_bin_5': 0.0742233619093895, 'redshifts/nmad': 0.11152759194374084, 'redshifts/nmad_bin_0': 0.21121542155742645, 'redshifts/nmad_bin_1': 0.13298825919628143, 'redshifts/nmad_bin_2': 0.0874079093337059, 'redshifts/nmad_bin_3': 0.07086934894323349, 'redshifts/nmad_bin_4': 0.06376820802688599, 'redshifts/nmad_bin_5': 0.03499407693743706, 'redshifts/outlier_fraction': 0.3245121240615845, 'redshifts/outlier_fraction_bin_0': 0.48784932494163513, 'redshifts/outlier_fraction_bin_1': 0.35426414012908936, 'redshifts/outlier_fraction_bin_2': 0.254004567861557, 'redshifts/outlier_fraction_bin_3': 0.19653549790382385, 'redshifts/outlier_fraction_bin_4': 0.1875, 'redshifts/outlier_fraction_bin_5': 0.09193742275238037, 'redshifts/outlier_fraction_cata': 0.08771951496601105, 'redshifts/outlier_fraction_cata_bin_0': 0.13132847845554352, 'redshifts/outlier_fraction_cata_bin_1': 0.09715723246335983, 'redshifts/outlier_fraction_cata_bin_2': 0.07804407924413681, 'redshifts/outlier_fraction_cata_bin_3': 0.0571000874042511, 'redshifts/outlier_fraction_cata_bin_4': 0.05854884907603264, 'redshifts/outlier_fraction_cata_bin_5': 0.017027677968144417}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1302/1563 [2:03:41<24:45, 5.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([81955.])\n", + "total num of pts: tensor([29647., 19895., 8310., 4680., 2788., 16635.])\n", + "{'redshifts/bias_abs': 0.07538674026727676, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.004380732774734497, 'redshifts/bias_bin_0': 0.02850726991891861, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.3093501329421997, 'redshifts/mse_bin_0': 0.43515336513519287, 'redshifts/mse_bin_1': 0.35820847749710083, 'redshifts/mse_bin_2': 0.2916647493839264, 'redshifts/mse_bin_3': 0.21988022327423096, 'redshifts/mse_bin_4': 0.22897300124168396, 'redshifts/mse_bin_5': 0.07418573647737503, 'redshifts/nmad': 0.11154802143573761, 'redshifts/nmad_bin_0': 0.21124842762947083, 'redshifts/nmad_bin_1': 0.13300111889839172, 'redshifts/nmad_bin_2': 0.08725403994321823, 'redshifts/nmad_bin_3': 0.07092702388763428, 'redshifts/nmad_bin_4': 0.06376820802688599, 'redshifts/nmad_bin_5': 0.03500749170780182, 'redshifts/outlier_fraction': 0.3244951367378235, 'redshifts/outlier_fraction_bin_0': 0.4878065288066864, 'redshifts/outlier_fraction_bin_1': 0.3542598783969879, 'redshifts/outlier_fraction_bin_2': 0.25391095876693726, 'redshifts/outlier_fraction_bin_3': 0.19700855016708374, 'redshifts/outlier_fraction_bin_4': 0.18723098933696747, 'redshifts/outlier_fraction_bin_5': 0.09197475016117096, 'redshifts/outlier_fraction_cata': 0.08770667016506195, 'redshifts/outlier_fraction_cata_bin_0': 0.1313454955816269, 'redshifts/outlier_fraction_cata_bin_1': 0.09705956280231476, 'redshifts/outlier_fraction_cata_bin_2': 0.07797834277153015, 'redshifts/outlier_fraction_cata_bin_3': 0.057478632777929306, 'redshifts/outlier_fraction_cata_bin_4': 0.05846484750509262, 'redshifts/outlier_fraction_cata_bin_5': 0.017012324184179306}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1303/1563 [2:03:46<23:35, 5.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([82028.])\n", + "total num of pts: tensor([29673., 19917., 8324., 4682., 2789., 16643.])\n", + "{'redshifts/bias_abs': 0.07537964731454849, 'redshifts/bias_abs_bin_0': 0.14442908763885498, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004380507860332727, 'redshifts/bias_bin_0': 0.028469080105423927, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.309264600276947, 'redshifts/mse_bin_0': 0.4348858892917633, 'redshifts/mse_bin_1': 0.3583812117576599, 'redshifts/mse_bin_2': 0.2912309169769287, 'redshifts/mse_bin_3': 0.21985961496829987, 'redshifts/mse_bin_4': 0.22889192402362823, 'redshifts/mse_bin_5': 0.07415302097797394, 'redshifts/nmad': 0.11152602732181549, 'redshifts/nmad_bin_0': 0.21113106608390808, 'redshifts/nmad_bin_1': 0.13300111889839172, 'redshifts/nmad_bin_2': 0.08726678788661957, 'redshifts/nmad_bin_3': 0.07092702388763428, 'redshifts/nmad_bin_4': 0.06377110630273819, 'redshifts/nmad_bin_5': 0.035014450550079346, 'redshifts/outlier_fraction': 0.32448676228523254, 'redshifts/outlier_fraction_bin_0': 0.48768240213394165, 'redshifts/outlier_fraction_bin_1': 0.3543204367160797, 'redshifts/outlier_fraction_bin_2': 0.25396445393562317, 'redshifts/outlier_fraction_bin_3': 0.1971379816532135, 'redshifts/outlier_fraction_bin_4': 0.18716385960578918, 'redshifts/outlier_fraction_bin_5': 0.09193053841590881, 'redshifts/outlier_fraction_cata': 0.08766518533229828, 'redshifts/outlier_fraction_cata_bin_0': 0.1312304139137268, 'redshifts/outlier_fraction_cata_bin_1': 0.09710297733545303, 'redshifts/outlier_fraction_cata_bin_2': 0.0778471902012825, 'redshifts/outlier_fraction_cata_bin_3': 0.057454079389572144, 'redshifts/outlier_fraction_cata_bin_4': 0.058443885296583176, 'redshifts/outlier_fraction_cata_bin_5': 0.017004145309329033}\n", + "total num of pts: tensor([82111.])\n", + "total num of pts: tensor([29704., 19934., 8332., 4685., 2792., 16664.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1304/1563 [2:03:50<21:26, 4.97s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07539220154285431, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04734596982598305, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004391572438180447, 'redshifts/bias_bin_0': 0.02847914956510067, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.30918338894844055, 'redshifts/mse_bin_0': 0.4349014163017273, 'redshifts/mse_bin_1': 0.3582722544670105, 'redshifts/mse_bin_2': 0.290987491607666, 'redshifts/mse_bin_3': 0.21973127126693726, 'redshifts/mse_bin_4': 0.2287432998418808, 'redshifts/mse_bin_5': 0.07408992946147919, 'redshifts/nmad': 0.11154242604970932, 'redshifts/nmad_bin_0': 0.21120673418045044, 'redshifts/nmad_bin_1': 0.13300949335098267, 'redshifts/nmad_bin_2': 0.08734060823917389, 'redshifts/nmad_bin_3': 0.07092702388763428, 'redshifts/nmad_bin_4': 0.0637323334813118, 'redshifts/nmad_bin_5': 0.03502652794122696, 'redshifts/outlier_fraction': 0.32451194524765015, 'redshifts/outlier_fraction_bin_0': 0.4878130853176117, 'redshifts/outlier_fraction_bin_1': 0.3542690873146057, 'redshifts/outlier_fraction_bin_2': 0.25396063923835754, 'redshifts/outlier_fraction_bin_3': 0.19701173901557922, 'redshifts/outlier_fraction_bin_4': 0.18732091784477234, 'redshifts/outlier_fraction_bin_5': 0.09193471074104309, 'redshifts/outlier_fraction_cata': 0.08762528747320175, 'redshifts/outlier_fraction_cata_bin_0': 0.13122811913490295, 'redshifts/outlier_fraction_cata_bin_1': 0.09702016413211823, 'redshifts/outlier_fraction_cata_bin_2': 0.07777244597673416, 'redshifts/outlier_fraction_cata_bin_3': 0.057417288422584534, 'redshifts/outlier_fraction_cata_bin_4': 0.058381088078022, 'redshifts/outlier_fraction_cata_bin_5': 0.01698271743953228}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 83%|████████▎ | 1305/1563 [2:03:55<21:44, 5.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([82188.])\n", + "total num of pts: tensor([29726., 19955., 8341., 4691., 2793., 16682.])\n", + "{'redshifts/bias_abs': 0.07536805421113968, 'redshifts/bias_abs_bin_0': 0.14443564414978027, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004391572438180447, 'redshifts/bias_bin_0': 0.028469080105423927, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00017014109471347183, 'redshifts/mse': 0.30916285514831543, 'redshifts/mse_bin_0': 0.4349086880683899, 'redshifts/mse_bin_1': 0.3584788739681244, 'redshifts/mse_bin_2': 0.29071468114852905, 'redshifts/mse_bin_3': 0.21946412324905396, 'redshifts/mse_bin_4': 0.22866837680339813, 'redshifts/mse_bin_5': 0.07402562350034714, 'redshifts/nmad': 0.11152179539203644, 'redshifts/nmad_bin_0': 0.21113106608390808, 'redshifts/nmad_bin_1': 0.1329668164253235, 'redshifts/nmad_bin_2': 0.0874599888920784, 'redshifts/nmad_bin_3': 0.07085111737251282, 'redshifts/nmad_bin_4': 0.06377110630273819, 'redshifts/nmad_bin_5': 0.03500792756676674, 'redshifts/outlier_fraction': 0.32443907856941223, 'redshifts/outlier_fraction_bin_0': 0.48775482177734375, 'redshifts/outlier_fraction_bin_1': 0.3542470633983612, 'redshifts/outlier_fraction_bin_2': 0.2539263963699341, 'redshifts/outlier_fraction_bin_3': 0.19675974547863007, 'redshifts/outlier_fraction_bin_4': 0.18725384771823883, 'redshifts/outlier_fraction_bin_5': 0.0918954536318779, 'redshifts/outlier_fraction_cata': 0.0876161977648735, 'redshifts/outlier_fraction_cata_bin_0': 0.13123191893100739, 'redshifts/outlier_fraction_cata_bin_1': 0.0970684066414833, 'redshifts/outlier_fraction_cata_bin_2': 0.07768853008747101, 'redshifts/outlier_fraction_cata_bin_3': 0.057343851774930954, 'redshifts/outlier_fraction_cata_bin_4': 0.05836018547415733, 'redshifts/outlier_fraction_cata_bin_5': 0.016964392736554146}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▎ | 1306/1563 [2:04:00<21:03, 4.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([82247.])\n", + "total num of pts: tensor([29748., 19974., 8345., 4695., 2794., 16691.])\n", + "{'redshifts/bias_abs': 0.07536257058382034, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004396793898195028, 'redshifts/bias_bin_0': 0.028407277539372444, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00017014109471347183, 'redshifts/mse': 0.3091736435890198, 'redshifts/mse_bin_0': 0.43492022156715393, 'redshifts/mse_bin_1': 0.3584545850753784, 'redshifts/mse_bin_2': 0.29064276814460754, 'redshifts/mse_bin_3': 0.2193233221769333, 'redshifts/mse_bin_4': 0.2291647046804428, 'redshifts/mse_bin_5': 0.07401549816131592, 'redshifts/nmad': 0.11151405423879623, 'redshifts/nmad_bin_0': 0.21093907952308655, 'redshifts/nmad_bin_1': 0.13295383751392365, 'redshifts/nmad_bin_2': 0.08745499700307846, 'redshifts/nmad_bin_3': 0.07085783779621124, 'redshifts/nmad_bin_4': 0.06376820802688599, 'redshifts/nmad_bin_5': 0.035036515444517136, 'redshifts/outlier_fraction': 0.3244130611419678, 'redshifts/outlier_fraction_bin_0': 0.487595796585083, 'redshifts/outlier_fraction_bin_1': 0.3541603982448578, 'redshifts/outlier_fraction_bin_2': 0.2540443241596222, 'redshifts/outlier_fraction_bin_3': 0.19680510461330414, 'redshifts/outlier_fraction_bin_4': 0.18754473328590393, 'redshifts/outlier_fraction_bin_5': 0.09196572750806808, 'redshifts/outlier_fraction_cata': 0.08760198205709457, 'redshifts/outlier_fraction_cata_bin_0': 0.13116848468780518, 'redshifts/outlier_fraction_cata_bin_1': 0.09707619994878769, 'redshifts/outlier_fraction_cata_bin_2': 0.07765128463506699, 'redshifts/outlier_fraction_cata_bin_3': 0.057294994592666626, 'redshifts/outlier_fraction_cata_bin_4': 0.058697208762168884, 'redshifts/outlier_fraction_cata_bin_5': 0.016955245286226273}\n", + "total num of pts: tensor([82308.])\n", + "total num of pts: tensor([29769., 19986., 8350., 4698., 2797., 16708.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▎ | 1307/1563 [2:04:05<21:20, 5.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07536805421113968, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02365754544734955, 'redshifts/bias': 0.004393754061311483, 'redshifts/bias_bin_0': 0.028407348319888115, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00016040737682487816, 'redshifts/mse': 0.30927014350891113, 'redshifts/mse_bin_0': 0.435184121131897, 'redshifts/mse_bin_1': 0.35856565833091736, 'redshifts/mse_bin_2': 0.29047831892967224, 'redshifts/mse_bin_3': 0.21922892332077026, 'redshifts/mse_bin_4': 0.2291344404220581, 'redshifts/mse_bin_5': 0.07408345490694046, 'redshifts/nmad': 0.11153177917003632, 'redshifts/nmad_bin_0': 0.21115542948246002, 'redshifts/nmad_bin_1': 0.13300949335098267, 'redshifts/nmad_bin_2': 0.0874103382229805, 'redshifts/nmad_bin_3': 0.07082805037498474, 'redshifts/nmad_bin_4': 0.06385184824466705, 'redshifts/nmad_bin_5': 0.03506890684366226, 'redshifts/outlier_fraction': 0.3245128095149994, 'redshifts/outlier_fraction_bin_0': 0.4877557158470154, 'redshifts/outlier_fraction_bin_1': 0.3542979955673218, 'redshifts/outlier_fraction_bin_2': 0.2538922131061554, 'redshifts/outlier_fraction_bin_3': 0.19689229130744934, 'redshifts/outlier_fraction_bin_4': 0.18770110607147217, 'redshifts/outlier_fraction_bin_5': 0.09211156517267227, 'redshifts/outlier_fraction_cata': 0.08763425052165985, 'redshifts/outlier_fraction_cata_bin_0': 0.13124391436576843, 'redshifts/outlier_fraction_cata_bin_1': 0.09711798280477524, 'redshifts/outlier_fraction_cata_bin_2': 0.07760479301214218, 'redshifts/outlier_fraction_cata_bin_3': 0.05725840851664543, 'redshifts/outlier_fraction_cata_bin_4': 0.05863425135612488, 'redshifts/outlier_fraction_cata_bin_5': 0.016997845843434334}\n", + "total num of pts: tensor([82368.])\n", + "total num of pts: tensor([29786., 20004., 8352., 4701., 2799., 16726.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▎ | 1308/1563 [2:04:09<20:46, 4.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07534721493721008, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04727298393845558, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023615658283233643, 'redshifts/bias': 0.004393754061311483, 'redshifts/bias_bin_0': 0.028469080105423927, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.3091881573200226, 'redshifts/mse_bin_0': 0.4350624084472656, 'redshifts/mse_bin_1': 0.35862892866134644, 'redshifts/mse_bin_2': 0.29040974378585815, 'redshifts/mse_bin_3': 0.21910034120082855, 'redshifts/mse_bin_4': 0.22898495197296143, 'redshifts/mse_bin_5': 0.07401608675718307, 'redshifts/nmad': 0.11152026802301407, 'redshifts/nmad_bin_0': 0.2110055536031723, 'redshifts/nmad_bin_1': 0.13306212425231934, 'redshifts/nmad_bin_2': 0.08737942576408386, 'redshifts/nmad_bin_3': 0.07083956152200699, 'redshifts/nmad_bin_4': 0.06392307579517365, 'redshifts/nmad_bin_5': 0.035019490867853165, 'redshifts/outlier_fraction': 0.3244342505931854, 'redshifts/outlier_fraction_bin_0': 0.4876116216182709, 'redshifts/outlier_fraction_bin_1': 0.3543791174888611, 'redshifts/outlier_fraction_bin_2': 0.2538314163684845, 'redshifts/outlier_fraction_bin_3': 0.19676664471626282, 'redshifts/outlier_fraction_bin_4': 0.18756699562072754, 'redshifts/outlier_fraction_bin_5': 0.09207222610712051, 'redshifts/outlier_fraction_cata': 0.08761897683143616, 'redshifts/outlier_fraction_cata_bin_0': 0.13123615086078644, 'redshifts/outlier_fraction_cata_bin_1': 0.09713057428598404, 'redshifts/outlier_fraction_cata_bin_2': 0.07758620381355286, 'redshifts/outlier_fraction_cata_bin_3': 0.05722186714410782, 'redshifts/outlier_fraction_cata_bin_4': 0.05859235301613808, 'redshifts/outlier_fraction_cata_bin_5': 0.016979552805423737}\n", + "total num of pts: tensor([82433.])\n", + "total num of pts: tensor([29804., 20021., 8359., 4704., 2802., 16743.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▎ | 1309/1563 [2:04:14<20:52, 4.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07531460374593735, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.047182902693748474, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004380732774734497, 'redshifts/bias_bin_0': 0.02846730872988701, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.30911338329315186, 'redshifts/mse_bin_0': 0.43503308296203613, 'redshifts/mse_bin_1': 0.3585975766181946, 'redshifts/mse_bin_2': 0.2902761399745941, 'redshifts/mse_bin_3': 0.21896414458751678, 'redshifts/mse_bin_4': 0.22893905639648438, 'redshifts/mse_bin_5': 0.07394206523895264, 'redshifts/nmad': 0.11144737899303436, 'redshifts/nmad_bin_0': 0.21102456748485565, 'redshifts/nmad_bin_1': 0.13302235305309296, 'redshifts/nmad_bin_2': 0.08743269741535187, 'redshifts/nmad_bin_3': 0.07080226391553879, 'redshifts/nmad_bin_4': 0.06385184824466705, 'redshifts/nmad_bin_5': 0.034997325390577316, 'redshifts/outlier_fraction': 0.3244089186191559, 'redshifts/outlier_fraction_bin_0': 0.4876191020011902, 'redshifts/outlier_fraction_bin_1': 0.3543279469013214, 'redshifts/outlier_fraction_bin_2': 0.2540973722934723, 'redshifts/outlier_fraction_bin_3': 0.19664116203784943, 'redshifts/outlier_fraction_bin_4': 0.1877230554819107, 'redshifts/outlier_fraction_bin_5': 0.09197873622179031, 'redshifts/outlier_fraction_cata': 0.08758628368377686, 'redshifts/outlier_fraction_cata_bin_0': 0.13122399151325226, 'redshifts/outlier_fraction_cata_bin_1': 0.09709804505109787, 'redshifts/outlier_fraction_cata_bin_2': 0.07752123475074768, 'redshifts/outlier_fraction_cata_bin_3': 0.057185374200344086, 'redshifts/outlier_fraction_cata_bin_4': 0.05852962285280228, 'redshifts/outlier_fraction_cata_bin_5': 0.016962312161922455}\n", + "total num of pts: tensor([82498.])\n", + "total num of pts: tensor([29832., 20035., 8364., 4708., 2804., 16755.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1310/1563 [2:04:20<21:29, 5.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07534721493721008, 'redshifts/bias_abs_bin_0': 0.14442908763885498, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.00437708618119359, 'redshifts/bias_bin_0': 0.02838873863220215, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.30908524990081787, 'redshifts/mse_bin_0': 0.4349477291107178, 'redshifts/mse_bin_1': 0.35854828357696533, 'redshifts/mse_bin_2': 0.29053598642349243, 'redshifts/mse_bin_3': 0.21879133582115173, 'redshifts/mse_bin_4': 0.22884012758731842, 'redshifts/mse_bin_5': 0.07390324771404266, 'redshifts/nmad': 0.11150707304477692, 'redshifts/nmad_bin_0': 0.2111278474330902, 'redshifts/nmad_bin_1': 0.13302931189537048, 'redshifts/nmad_bin_2': 0.087412029504776, 'redshifts/nmad_bin_3': 0.07075809687376022, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.03498224541544914, 'redshifts/outlier_fraction': 0.3244442343711853, 'redshifts/outlier_fraction_bin_0': 0.4876977801322937, 'redshifts/outlier_fraction_bin_1': 0.354329913854599, 'redshifts/outlier_fraction_bin_2': 0.25406503677368164, 'redshifts/outlier_fraction_bin_3': 0.196474090218544, 'redshifts/outlier_fraction_bin_4': 0.18794579803943634, 'redshifts/outlier_fraction_bin_5': 0.09197254478931427, 'redshifts/outlier_fraction_cata': 0.08756575733423233, 'redshifts/outlier_fraction_cata_bin_0': 0.13113434612751007, 'redshifts/outlier_fraction_cata_bin_1': 0.09713002294301987, 'redshifts/outlier_fraction_cata_bin_2': 0.07759445160627365, 'redshifts/outlier_fraction_cata_bin_3': 0.057136788964271545, 'redshifts/outlier_fraction_cata_bin_4': 0.058487873524427414, 'redshifts/outlier_fraction_cata_bin_5': 0.01695016399025917}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1311/1563 [2:04:25<20:55, 4.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([82553.])\n", + "total num of pts: tensor([29856., 20044., 8367., 4713., 2808., 16765.])\n", + "{'redshifts/bias_abs': 0.07534439116716385, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.043509047478437424, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.028324060142040253, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.3090530037879944, 'redshifts/mse_bin_0': 0.4347524046897888, 'redshifts/mse_bin_1': 0.35846903920173645, 'redshifts/mse_bin_2': 0.2906663715839386, 'redshifts/mse_bin_3': 0.21870505809783936, 'redshifts/mse_bin_4': 0.22855713963508606, 'redshifts/mse_bin_5': 0.07417625188827515, 'redshifts/nmad': 0.11149784922599792, 'redshifts/nmad_bin_0': 0.2110624462366104, 'redshifts/nmad_bin_1': 0.13298825919628143, 'redshifts/nmad_bin_2': 0.08742031455039978, 'redshifts/nmad_bin_3': 0.07074644416570663, 'redshifts/nmad_bin_4': 0.06422578543424606, 'redshifts/nmad_bin_5': 0.03497976437211037, 'redshifts/outlier_fraction': 0.32439765334129333, 'redshifts/outlier_fraction_bin_0': 0.4876071810722351, 'redshifts/outlier_fraction_bin_1': 0.3542207181453705, 'redshifts/outlier_fraction_bin_2': 0.25421297550201416, 'redshifts/outlier_fraction_bin_3': 0.19647783041000366, 'redshifts/outlier_fraction_bin_4': 0.18767806887626648, 'redshifts/outlier_fraction_bin_5': 0.09197733551263809, 'redshifts/outlier_fraction_cata': 0.08755587041378021, 'redshifts/outlier_fraction_cata_bin_0': 0.13106243312358856, 'redshifts/outlier_fraction_cata_bin_1': 0.09713630378246307, 'redshifts/outlier_fraction_cata_bin_2': 0.07768614590167999, 'redshifts/outlier_fraction_cata_bin_3': 0.05707617104053497, 'redshifts/outlier_fraction_cata_bin_4': 0.05840455740690231, 'redshifts/outlier_fraction_cata_bin_5': 0.016999701038002968}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1312/1563 [2:04:30<20:59, 5.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([82610.])\n", + "total num of pts: tensor([29878., 20057., 8374., 4717., 2809., 16775.])\n", + "{'redshifts/bias_abs': 0.07536805421113968, 'redshifts/bias_abs_bin_0': 0.14440324902534485, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.00437708618119359, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.3090391755104065, 'redshifts/mse_bin_0': 0.4348676800727844, 'redshifts/mse_bin_1': 0.3583157956600189, 'redshifts/mse_bin_2': 0.2904522120952606, 'redshifts/mse_bin_3': 0.21879909932613373, 'redshifts/mse_bin_4': 0.2285248190164566, 'redshifts/mse_bin_5': 0.07414275407791138, 'redshifts/nmad': 0.11152095347642899, 'redshifts/nmad_bin_0': 0.21112026274204254, 'redshifts/nmad_bin_1': 0.13300393521785736, 'redshifts/nmad_bin_2': 0.08742031455039978, 'redshifts/nmad_bin_3': 0.07075809687376022, 'redshifts/nmad_bin_4': 0.06423281133174896, 'redshifts/nmad_bin_5': 0.03497573733329773, 'redshifts/outlier_fraction': 0.3244280219078064, 'redshifts/outlier_fraction_bin_0': 0.4876497685909271, 'redshifts/outlier_fraction_bin_1': 0.35429027676582336, 'redshifts/outlier_fraction_bin_2': 0.2540004849433899, 'redshifts/outlier_fraction_bin_3': 0.196735218167305, 'redshifts/outlier_fraction_bin_4': 0.1879672408103943, 'redshifts/outlier_fraction_bin_5': 0.09192250669002533, 'redshifts/outlier_fraction_cata': 0.08755598962306976, 'redshifts/outlier_fraction_cata_bin_0': 0.13109980523586273, 'redshifts/outlier_fraction_cata_bin_1': 0.09707333892583847, 'redshifts/outlier_fraction_cata_bin_2': 0.0776212066411972, 'redshifts/outlier_fraction_cata_bin_3': 0.05723977088928223, 'redshifts/outlier_fraction_cata_bin_4': 0.0583837665617466, 'redshifts/outlier_fraction_cata_bin_5': 0.01698956824839115}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1313/1563 [2:04:36<22:49, 5.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([82672.])\n", + "total num of pts: tensor([29902., 20068., 8383., 4718., 2811., 16790.])\n", + "{'redshifts/bias_abs': 0.07536805421113968, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004377124831080437, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.308944433927536, 'redshifts/mse_bin_0': 0.43471816182136536, 'redshifts/mse_bin_1': 0.3582020699977875, 'redshifts/mse_bin_2': 0.29018476605415344, 'redshifts/mse_bin_3': 0.21875636279582977, 'redshifts/mse_bin_4': 0.22837354242801666, 'redshifts/mse_bin_5': 0.07427212595939636, 'redshifts/nmad': 0.11152101308107376, 'redshifts/nmad_bin_0': 0.21108075976371765, 'redshifts/nmad_bin_1': 0.13298636674880981, 'redshifts/nmad_bin_2': 0.08744604140520096, 'redshifts/nmad_bin_3': 0.07077351212501526, 'redshifts/nmad_bin_4': 0.06421083211898804, 'redshifts/nmad_bin_5': 0.03497328981757164, 'redshifts/outlier_fraction': 0.32439035177230835, 'redshifts/outlier_fraction_bin_0': 0.48762625455856323, 'redshifts/outlier_fraction_bin_1': 0.3542455732822418, 'redshifts/outlier_fraction_bin_2': 0.25384706258773804, 'redshifts/outlier_fraction_bin_3': 0.1966935098171234, 'redshifts/outlier_fraction_bin_4': 0.1878335177898407, 'redshifts/outlier_fraction_bin_5': 0.09195949882268906, 'redshifts/outlier_fraction_cata': 0.08751451224088669, 'redshifts/outlier_fraction_cata_bin_0': 0.13102802634239197, 'redshifts/outlier_fraction_cata_bin_1': 0.09702013432979584, 'redshifts/outlier_fraction_cata_bin_2': 0.07753787189722061, 'redshifts/outlier_fraction_cata_bin_3': 0.057227637618780136, 'redshifts/outlier_fraction_cata_bin_4': 0.05834222584962845, 'redshifts/outlier_fraction_cata_bin_5': 0.017033949494361877}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1314/1563 [2:04:43<24:10, 5.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([82721.])\n", + "total num of pts: tensor([29917., 20085., 8388., 4721., 2813., 16797.])\n", + "{'redshifts/bias_abs': 0.07537964731454849, 'redshifts/bias_abs_bin_0': 0.14442908763885498, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.047182902693748474, 'redshifts/bias_abs_bin_4': 0.043509047478437424, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004380732774734497, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.3089427351951599, 'redshifts/mse_bin_0': 0.43470773100852966, 'redshifts/mse_bin_1': 0.3582272231578827, 'redshifts/mse_bin_2': 0.2902384400367737, 'redshifts/mse_bin_3': 0.21867115795612335, 'redshifts/mse_bin_4': 0.2282111942768097, 'redshifts/mse_bin_5': 0.07424335181713104, 'redshifts/nmad': 0.11152635514736176, 'redshifts/nmad_bin_0': 0.21113033592700958, 'redshifts/nmad_bin_1': 0.13295410573482513, 'redshifts/nmad_bin_2': 0.08742430061101913, 'redshifts/nmad_bin_3': 0.07080236822366714, 'redshifts/nmad_bin_4': 0.06422578543424606, 'redshifts/nmad_bin_5': 0.03497328981757164, 'redshifts/outlier_fraction': 0.32441580295562744, 'redshifts/outlier_fraction_bin_0': 0.487682580947876, 'redshifts/outlier_fraction_bin_1': 0.3542444705963135, 'redshifts/outlier_fraction_bin_2': 0.2538149654865265, 'redshifts/outlier_fraction_bin_3': 0.1969921588897705, 'redshifts/outlier_fraction_bin_4': 0.18769995868206024, 'redshifts/outlier_fraction_bin_5': 0.09192117303609848, 'redshifts/outlier_fraction_cata': 0.08752311766147614, 'redshifts/outlier_fraction_cata_bin_0': 0.1310626119375229, 'redshifts/outlier_fraction_cata_bin_1': 0.09698779881000519, 'redshifts/outlier_fraction_cata_bin_2': 0.07761087268590927, 'redshifts/outlier_fraction_cata_bin_3': 0.05719127133488655, 'redshifts/outlier_fraction_cata_bin_4': 0.058300744742155075, 'redshifts/outlier_fraction_cata_bin_5': 0.017026850953698158}\n", + "total num of pts: tensor([82771.])\n", + "total num of pts: tensor([29934., 20105., 8391., 4724., 2813., 16804.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1315/1563 [2:04:48<23:35, 5.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07539919018745422, 'redshifts/bias_abs_bin_0': 0.14442908763885498, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.047182902693748474, 'redshifts/bias_abs_bin_4': 0.043509047478437424, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004377124831080437, 'redshifts/bias_bin_0': 0.028324060142040253, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.30902421474456787, 'redshifts/mse_bin_0': 0.43503183126449585, 'redshifts/mse_bin_1': 0.358107328414917, 'redshifts/mse_bin_2': 0.2901412546634674, 'redshifts/mse_bin_3': 0.21858759224414825, 'redshifts/mse_bin_4': 0.2282111942768097, 'redshifts/mse_bin_5': 0.07421419024467468, 'redshifts/nmad': 0.11156166344881058, 'redshifts/nmad_bin_0': 0.21113857626914978, 'redshifts/nmad_bin_1': 0.13318350911140442, 'redshifts/nmad_bin_2': 0.08744604140520096, 'redshifts/nmad_bin_3': 0.07080236822366714, 'redshifts/nmad_bin_4': 0.06422578543424606, 'redshifts/nmad_bin_5': 0.0349586047232151, 'redshifts/outlier_fraction': 0.3244614601135254, 'redshifts/outlier_fraction_bin_0': 0.4876728951931, 'redshifts/outlier_fraction_bin_1': 0.3543894588947296, 'redshifts/outlier_fraction_bin_2': 0.25384339690208435, 'redshifts/outlier_fraction_bin_3': 0.19707874953746796, 'redshifts/outlier_fraction_bin_4': 0.18769995868206024, 'redshifts/outlier_fraction_bin_5': 0.09188288450241089, 'redshifts/outlier_fraction_cata': 0.08753065764904022, 'redshifts/outlier_fraction_cata_bin_0': 0.13112179934978485, 'redshifts/outlier_fraction_cata_bin_1': 0.09694106131792068, 'redshifts/outlier_fraction_cata_bin_2': 0.07758312672376633, 'redshifts/outlier_fraction_cata_bin_3': 0.057154953479766846, 'redshifts/outlier_fraction_cata_bin_4': 0.058300744742155075, 'redshifts/outlier_fraction_cata_bin_5': 0.017019758000969887}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1316/1563 [2:04:54<23:54, 5.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([82823.])\n", + "total num of pts: tensor([29949., 20118., 8396., 4729., 2816., 16815.])\n", + "{'redshifts/bias_abs': 0.07540929317474365, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.09031876921653748, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.047182902693748474, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004377124831080437, 'redshifts/bias_bin_0': 0.02838873863220215, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.30900195240974426, 'redshifts/mse_bin_0': 0.435017466545105, 'redshifts/mse_bin_1': 0.35816600918769836, 'redshifts/mse_bin_2': 0.28998029232025146, 'redshifts/mse_bin_3': 0.21837744116783142, 'redshifts/mse_bin_4': 0.22869957983493805, 'redshifts/mse_bin_5': 0.07416784018278122, 'redshifts/nmad': 0.11156941205263138, 'redshifts/nmad_bin_0': 0.2111840844154358, 'redshifts/nmad_bin_1': 0.13319440186023712, 'redshifts/nmad_bin_2': 0.08745499700307846, 'redshifts/nmad_bin_3': 0.07074644416570663, 'redshifts/nmad_bin_4': 0.06421083211898804, 'redshifts/nmad_bin_5': 0.034962933510541916, 'redshifts/outlier_fraction': 0.32445093989372253, 'redshifts/outlier_fraction_bin_0': 0.48772913217544556, 'redshifts/outlier_fraction_bin_1': 0.35440897941589355, 'redshifts/outlier_fraction_bin_2': 0.2538113296031952, 'redshifts/outlier_fraction_bin_3': 0.1968703716993332, 'redshifts/outlier_fraction_bin_4': 0.18785510957241058, 'redshifts/outlier_fraction_bin_5': 0.0918227806687355, 'redshifts/outlier_fraction_cata': 0.08751191943883896, 'redshifts/outlier_fraction_cata_bin_0': 0.13108952343463898, 'redshifts/outlier_fraction_cata_bin_1': 0.09692812711000443, 'redshifts/outlier_fraction_cata_bin_2': 0.0775369256734848, 'redshifts/outlier_fraction_cata_bin_3': 0.0570945218205452, 'redshifts/outlier_fraction_cata_bin_4': 0.05859375, 'redshifts/outlier_fraction_cata_bin_5': 0.017008623108267784}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1317/1563 [2:05:00<23:54, 5.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([82905.])\n", + "total num of pts: tensor([29987., 20139., 8404., 4731., 2818., 16826.])\n", + "{'redshifts/bias_abs': 0.07542234659194946, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.0903375893831253, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.047182902693748474, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.028368545696139336, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.3090526759624481, 'redshifts/mse_bin_0': 0.4350830316543579, 'redshifts/mse_bin_1': 0.35796838998794556, 'redshifts/mse_bin_2': 0.29051780700683594, 'redshifts/mse_bin_3': 0.21828682720661163, 'redshifts/mse_bin_4': 0.22856153547763824, 'redshifts/mse_bin_5': 0.07415448129177094, 'redshifts/nmad': 0.11159306764602661, 'redshifts/nmad_bin_0': 0.2112146019935608, 'redshifts/nmad_bin_1': 0.1332133710384369, 'redshifts/nmad_bin_2': 0.08746936917304993, 'redshifts/nmad_bin_3': 0.07074644416570663, 'redshifts/nmad_bin_4': 0.06423281133174896, 'redshifts/nmad_bin_5': 0.034962933510541916, 'redshifts/outlier_fraction': 0.3245159983634949, 'redshifts/outlier_fraction_bin_0': 0.48777803778648376, 'redshifts/outlier_fraction_bin_1': 0.3544366657733917, 'redshifts/outlier_fraction_bin_2': 0.2538077235221863, 'redshifts/outlier_fraction_bin_3': 0.19678714871406555, 'redshifts/outlier_fraction_bin_4': 0.18807664513587952, 'redshifts/outlier_fraction_bin_5': 0.09182217717170715, 'redshifts/outlier_fraction_cata': 0.08749774098396301, 'redshifts/outlier_fraction_cata_bin_0': 0.1310567855834961, 'redshifts/outlier_fraction_cata_bin_1': 0.09687670320272446, 'redshifts/outlier_fraction_cata_bin_2': 0.07758210599422455, 'redshifts/outlier_fraction_cata_bin_3': 0.05707038566470146, 'redshifts/outlier_fraction_cata_bin_4': 0.05855216458439827, 'redshifts/outlier_fraction_cata_bin_5': 0.016997503116726875}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1318/1563 [2:05:06<23:39, 5.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([82969.])\n", + "total num of pts: tensor([30015., 20149., 8409., 4735., 2820., 16841.])\n", + "{'redshifts/bias_abs': 0.07542740553617477, 'redshifts/bias_abs_bin_0': 0.14449003338813782, 'redshifts/bias_abs_bin_1': 0.09041231870651245, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.02834409475326538, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.30910950899124146, 'redshifts/mse_bin_0': 0.4350428283214569, 'redshifts/mse_bin_1': 0.35798949003219604, 'redshifts/mse_bin_2': 0.2907794117927551, 'redshifts/mse_bin_3': 0.2190694510936737, 'redshifts/mse_bin_4': 0.2285524606704712, 'redshifts/mse_bin_5': 0.07413894683122635, 'redshifts/nmad': 0.11160111427307129, 'redshifts/nmad_bin_0': 0.21117834746837616, 'redshifts/nmad_bin_1': 0.13327062129974365, 'redshifts/nmad_bin_2': 0.08741617202758789, 'redshifts/nmad_bin_3': 0.07080236822366714, 'redshifts/nmad_bin_4': 0.0642581358551979, 'redshifts/nmad_bin_5': 0.034967418760061264, 'redshifts/outlier_fraction': 0.32454290986061096, 'redshifts/outlier_fraction_bin_0': 0.48772281408309937, 'redshifts/outlier_fraction_bin_1': 0.354459285736084, 'redshifts/outlier_fraction_bin_2': 0.2537757158279419, 'redshifts/outlier_fraction_bin_3': 0.1970432996749878, 'redshifts/outlier_fraction_bin_4': 0.18865248560905457, 'redshifts/outlier_fraction_bin_5': 0.09185915440320969, 'redshifts/outlier_fraction_cata': 0.08750256150960922, 'redshifts/outlier_fraction_cata_bin_0': 0.1310344785451889, 'redshifts/outlier_fraction_cata_bin_1': 0.09687826037406921, 'redshifts/outlier_fraction_cata_bin_2': 0.0776548907160759, 'redshifts/outlier_fraction_cata_bin_3': 0.05723336711525917, 'redshifts/outlier_fraction_cata_bin_4': 0.058510638773441315, 'redshifts/outlier_fraction_cata_bin_5': 0.016982363536953926}\n", + "total num of pts: tensor([83015.])\n", + "total num of pts: tensor([30032., 20157., 8412., 4739., 2820., 16855.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1319/1563 [2:05:11<22:52, 5.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07542970031499863, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.09041231870651245, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.047182902693748474, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.02357514202594757, 'redshifts/bias': 0.004365354776382446, 'redshifts/bias_bin_0': 0.02838873863220215, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.309040904045105, 'redshifts/mse_bin_0': 0.43502333760261536, 'redshifts/mse_bin_1': 0.3578994870185852, 'redshifts/mse_bin_2': 0.2906840443611145, 'redshifts/mse_bin_3': 0.2189583033323288, 'redshifts/mse_bin_4': 0.2285524606704712, 'redshifts/mse_bin_5': 0.07409179210662842, 'redshifts/nmad': 0.11160019785165787, 'redshifts/nmad_bin_0': 0.21111807227134705, 'redshifts/nmad_bin_1': 0.13324503600597382, 'redshifts/nmad_bin_2': 0.08741617202758789, 'redshifts/nmad_bin_3': 0.07075800001621246, 'redshifts/nmad_bin_4': 0.0642581358551979, 'redshifts/nmad_bin_5': 0.03497248888015747, 'redshifts/outlier_fraction': 0.3245317041873932, 'redshifts/outlier_fraction_bin_0': 0.487713098526001, 'redshifts/outlier_fraction_bin_1': 0.35451704263687134, 'redshifts/outlier_fraction_bin_2': 0.25368520617485046, 'redshifts/outlier_fraction_bin_3': 0.19708798825740814, 'redshifts/outlier_fraction_bin_4': 0.18865248560905457, 'redshifts/outlier_fraction_bin_5': 0.0918421819806099, 'redshifts/outlier_fraction_cata': 0.0874781683087349, 'redshifts/outlier_fraction_cata_bin_0': 0.13102690875530243, 'redshifts/outlier_fraction_cata_bin_1': 0.09683980792760849, 'redshifts/outlier_fraction_cata_bin_2': 0.07762719690799713, 'redshifts/outlier_fraction_cata_bin_3': 0.057185061275959015, 'redshifts/outlier_fraction_cata_bin_4': 0.058510638773441315, 'redshifts/outlier_fraction_cata_bin_5': 0.01696825958788395}\n", + "total num of pts: tensor([83073.])\n", + "total num of pts: tensor([30052., 20173., 8416., 4743., 2822., 16867.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 84%|████████▍ | 1320/1563 [2:05:17<22:37, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07544559240341187, 'redshifts/bias_abs_bin_0': 0.1445152759552002, 'redshifts/bias_abs_bin_1': 0.09041231870651245, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004362338688224554, 'redshifts/bias_bin_0': 0.028368545696139336, 'redshifts/bias_bin_1': 0.01025540940463543, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.30901411175727844, 'redshifts/mse_bin_0': 0.43500250577926636, 'redshifts/mse_bin_1': 0.3579180836677551, 'redshifts/mse_bin_2': 0.29065248370170593, 'redshifts/mse_bin_3': 0.2187759131193161, 'redshifts/mse_bin_4': 0.2284189909696579, 'redshifts/mse_bin_5': 0.07407071441411972, 'redshifts/nmad': 0.1116144135594368, 'redshifts/nmad_bin_0': 0.21120452880859375, 'redshifts/nmad_bin_1': 0.1332436501979828, 'redshifts/nmad_bin_2': 0.08741617202758789, 'redshifts/nmad_bin_3': 0.0707373097538948, 'redshifts/nmad_bin_4': 0.06429692357778549, 'redshifts/nmad_bin_5': 0.03497004136443138, 'redshifts/outlier_fraction': 0.32458198070526123, 'redshifts/outlier_fraction_bin_0': 0.48775455355644226, 'redshifts/outlier_fraction_bin_1': 0.3546324372291565, 'redshifts/outlier_fraction_bin_2': 0.2536834478378296, 'redshifts/outlier_fraction_bin_3': 0.19692178070545197, 'redshifts/outlier_fraction_bin_4': 0.18851877748966217, 'redshifts/outlier_fraction_bin_5': 0.09195470809936523, 'redshifts/outlier_fraction_cata': 0.08744116872549057, 'redshifts/outlier_fraction_cata_bin_0': 0.1309729814529419, 'redshifts/outlier_fraction_cata_bin_1': 0.09681256860494614, 'redshifts/outlier_fraction_cata_bin_2': 0.07759030163288116, 'redshifts/outlier_fraction_cata_bin_3': 0.05713683366775513, 'redshifts/outlier_fraction_cata_bin_4': 0.058469172567129135, 'redshifts/outlier_fraction_cata_bin_5': 0.016956185922026634}\n", + "total num of pts: tensor([83139.])\n", + "total num of pts: tensor([30070., 20194., 8425., 4747., 2826., 16877.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▍ | 1321/1563 [2:05:23<23:27, 5.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07542970031499863, 'redshifts/bias_abs_bin_0': 0.14449003338813782, 'redshifts/bias_abs_bin_1': 0.09034185111522675, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004362853243947029, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.30900511145591736, 'redshifts/mse_bin_0': 0.4349035322666168, 'redshifts/mse_bin_1': 0.35790789127349854, 'redshifts/mse_bin_2': 0.2911321520805359, 'redshifts/mse_bin_3': 0.21869388222694397, 'redshifts/mse_bin_4': 0.22815175354480743, 'redshifts/mse_bin_5': 0.0740375816822052, 'redshifts/nmad': 0.11158877611160278, 'redshifts/nmad_bin_0': 0.21113502979278564, 'redshifts/nmad_bin_1': 0.13322243094444275, 'redshifts/nmad_bin_2': 0.08734060823917389, 'redshifts/nmad_bin_3': 0.0707373097538948, 'redshifts/nmad_bin_4': 0.06431861221790314, 'redshifts/nmad_bin_5': 0.03497328981757164, 'redshifts/outlier_fraction': 0.32451677322387695, 'redshifts/outlier_fraction_bin_0': 0.48772862553596497, 'redshifts/outlier_fraction_bin_1': 0.35451123118400574, 'redshifts/outlier_fraction_bin_2': 0.25353115797042847, 'redshifts/outlier_fraction_bin_3': 0.1969664990901947, 'redshifts/outlier_fraction_bin_4': 0.18860580027103424, 'redshifts/outlier_fraction_bin_5': 0.09190022200345993, 'redshifts/outlier_fraction_cata': 0.0874318927526474, 'redshifts/outlier_fraction_cata_bin_0': 0.13092783093452454, 'redshifts/outlier_fraction_cata_bin_1': 0.09686045348644257, 'redshifts/outlier_fraction_cata_bin_2': 0.07762610912322998, 'redshifts/outlier_fraction_cata_bin_3': 0.057088688015937805, 'redshifts/outlier_fraction_cata_bin_4': 0.058386411517858505, 'redshifts/outlier_fraction_cata_bin_5': 0.016946138814091682}\n", + "total num of pts: tensor([83199.])\n", + "total num of pts: tensor([30093., 20211., 8430., 4749., 2827., 16889.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▍ | 1322/1563 [2:05:28<22:21, 5.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07544726133346558, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.09034185111522675, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.043608587235212326, 'redshifts/bias_abs_bin_5': 0.02357514202594757, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.309131383895874, 'redshifts/mse_bin_0': 0.43499794602394104, 'redshifts/mse_bin_1': 0.3580397367477417, 'redshifts/mse_bin_2': 0.29180553555488586, 'redshifts/mse_bin_3': 0.21860821545124054, 'redshifts/mse_bin_4': 0.2280835211277008, 'redshifts/mse_bin_5': 0.07399996370077133, 'redshifts/nmad': 0.11160900443792343, 'redshifts/nmad_bin_0': 0.21114403009414673, 'redshifts/nmad_bin_1': 0.13321538269519806, 'redshifts/nmad_bin_2': 0.0874016284942627, 'redshifts/nmad_bin_3': 0.07072575390338898, 'redshifts/nmad_bin_4': 0.06434005498886108, 'redshifts/nmad_bin_5': 0.03497248888015747, 'redshifts/outlier_fraction': 0.3245471715927124, 'redshifts/outlier_fraction_bin_0': 0.4877878427505493, 'redshifts/outlier_fraction_bin_1': 0.3544604480266571, 'redshifts/outlier_fraction_bin_2': 0.2537366449832916, 'redshifts/outlier_fraction_bin_3': 0.19688355922698975, 'redshifts/outlier_fraction_bin_4': 0.18853908777236938, 'redshifts/outlier_fraction_bin_5': 0.09189413487911224, 'redshifts/outlier_fraction_cata': 0.08746499568223953, 'redshifts/outlier_fraction_cata_bin_0': 0.13096068799495697, 'redshifts/outlier_fraction_cata_bin_1': 0.09687793999910355, 'redshifts/outlier_fraction_cata_bin_2': 0.07781732082366943, 'redshifts/outlier_fraction_cata_bin_3': 0.05706464499235153, 'redshifts/outlier_fraction_cata_bin_4': 0.05836575850844383, 'redshifts/outlier_fraction_cata_bin_5': 0.016934098675847054}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▍ | 1323/1563 [2:05:34<22:06, 5.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([83256.])\n", + "total num of pts: tensor([30116., 20222., 8434., 4751., 2829., 16904.])\n", + "{'redshifts/bias_abs': 0.07544559240341187, 'redshifts/bias_abs_bin_0': 0.1445152759552002, 'redshifts/bias_abs_bin_1': 0.09031946957111359, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004367757122963667, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00014304743672255427, 'redshifts/mse': 0.3090451657772064, 'redshifts/mse_bin_0': 0.4348703920841217, 'redshifts/mse_bin_1': 0.3579055070877075, 'redshifts/mse_bin_2': 0.29200655221939087, 'redshifts/mse_bin_3': 0.21851682662963867, 'redshifts/mse_bin_4': 0.22792421281337738, 'redshifts/mse_bin_5': 0.07394485175609589, 'redshifts/nmad': 0.11158712953329086, 'redshifts/nmad_bin_0': 0.21111974120140076, 'redshifts/nmad_bin_1': 0.1331864446401596, 'redshifts/nmad_bin_2': 0.08749943226575851, 'redshifts/nmad_bin_3': 0.07066972553730011, 'redshifts/nmad_bin_4': 0.06430311501026154, 'redshifts/nmad_bin_5': 0.03496336191892624, 'redshifts/outlier_fraction': 0.32452917098999023, 'redshifts/outlier_fraction_bin_0': 0.4877805709838867, 'redshifts/outlier_fraction_bin_1': 0.35446542501449585, 'redshifts/outlier_fraction_bin_2': 0.253853440284729, 'redshifts/outlier_fraction_bin_3': 0.19680067896842957, 'redshifts/outlier_fraction_bin_4': 0.18840579688549042, 'redshifts/outlier_fraction_bin_5': 0.09181258827447891, 'redshifts/outlier_fraction_cata': 0.08744114637374878, 'redshifts/outlier_fraction_cata_bin_0': 0.13092708587646484, 'redshifts/outlier_fraction_cata_bin_1': 0.0968252420425415, 'redshifts/outlier_fraction_cata_bin_2': 0.07789897918701172, 'redshifts/outlier_fraction_cata_bin_3': 0.05704062432050705, 'redshifts/outlier_fraction_cata_bin_4': 0.05832449719309807, 'redshifts/outlier_fraction_cata_bin_5': 0.016919072717428207}\n", + "total num of pts: tensor([83316.])\n", + "total num of pts: tensor([30140., 20239., 8440., 4755., 2830., 16912.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▍ | 1324/1563 [2:05:38<21:06, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07545000314712524, 'redshifts/bias_abs_bin_0': 0.14443564414978027, 'redshifts/bias_abs_bin_1': 0.0903375893831253, 'redshifts/bias_abs_bin_2': 0.0590035542845726, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023580757901072502, 'redshifts/bias': 0.004362435545772314, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.3089503347873688, 'redshifts/mse_bin_0': 0.43459880352020264, 'redshifts/mse_bin_1': 0.3576722741127014, 'redshifts/mse_bin_2': 0.29249483346939087, 'redshifts/mse_bin_3': 0.21845301985740662, 'redshifts/mse_bin_4': 0.22788165509700775, 'redshifts/mse_bin_5': 0.07393807917833328, 'redshifts/nmad': 0.11160794645547867, 'redshifts/nmad_bin_0': 0.21105007827281952, 'redshifts/nmad_bin_1': 0.13320209085941315, 'redshifts/nmad_bin_2': 0.08754394203424454, 'redshifts/nmad_bin_3': 0.07066972553730011, 'redshifts/nmad_bin_4': 0.06430311501026154, 'redshifts/nmad_bin_5': 0.03497719764709473, 'redshifts/outlier_fraction': 0.3245235085487366, 'redshifts/outlier_fraction_bin_0': 0.4876576066017151, 'redshifts/outlier_fraction_bin_1': 0.3544147312641144, 'redshifts/outlier_fraction_bin_2': 0.254146933555603, 'redshifts/outlier_fraction_bin_3': 0.1968454271554947, 'redshifts/outlier_fraction_bin_4': 0.1883392184972763, 'redshifts/outlier_fraction_bin_5': 0.09182828664779663, 'redshifts/outlier_fraction_cata': 0.08740217983722687, 'redshifts/outlier_fraction_cata_bin_0': 0.1308228224515915, 'redshifts/outlier_fraction_cata_bin_1': 0.09674391150474548, 'redshifts/outlier_fraction_cata_bin_2': 0.07808057218790054, 'redshifts/outlier_fraction_cata_bin_3': 0.05699263885617256, 'redshifts/outlier_fraction_cata_bin_4': 0.05830388516187668, 'redshifts/outlier_fraction_cata_bin_5': 0.016911068931221962}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▍ | 1325/1563 [2:05:43<20:18, 5.12s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([83380.])\n", + "total num of pts: tensor([30163., 20257., 8442., 4759., 2831., 16928.])\n", + "{'redshifts/bias_abs': 0.07544726133346558, 'redshifts/bias_abs_bin_0': 0.14442908763885498, 'redshifts/bias_abs_bin_1': 0.0903375893831253, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.043608587235212326, 'redshifts/bias_abs_bin_5': 0.023580757901072502, 'redshifts/bias': 0.004362853243947029, 'redshifts/bias_bin_0': 0.02829381637275219, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.308838814496994, 'redshifts/mse_bin_0': 0.4344751238822937, 'redshifts/mse_bin_1': 0.3575361371040344, 'redshifts/mse_bin_2': 0.29242730140686035, 'redshifts/mse_bin_3': 0.21834203600883484, 'redshifts/mse_bin_4': 0.22781775891780853, 'redshifts/mse_bin_5': 0.07387540489435196, 'redshifts/nmad': 0.11159937083721161, 'redshifts/nmad_bin_0': 0.21108655631542206, 'redshifts/nmad_bin_1': 0.13321003317832947, 'redshifts/nmad_bin_2': 0.08754394203424454, 'redshifts/nmad_bin_3': 0.07066972553730011, 'redshifts/nmad_bin_4': 0.06434005498886108, 'redshifts/nmad_bin_5': 0.034977976232767105, 'redshifts/outlier_fraction': 0.3245142698287964, 'redshifts/outlier_fraction_bin_0': 0.48761728405952454, 'redshifts/outlier_fraction_bin_1': 0.35444536805152893, 'redshifts/outlier_fraction_bin_2': 0.2540867030620575, 'redshifts/outlier_fraction_bin_3': 0.19689010083675385, 'redshifts/outlier_fraction_bin_4': 0.18827269971370697, 'redshifts/outlier_fraction_bin_5': 0.09185963869094849, 'redshifts/outlier_fraction_cata': 0.08735907822847366, 'redshifts/outlier_fraction_cata_bin_0': 0.1307562291622162, 'redshifts/outlier_fraction_cata_bin_1': 0.0967073142528534, 'redshifts/outlier_fraction_cata_bin_2': 0.07806207239627838, 'redshifts/outlier_fraction_cata_bin_3': 0.05694473534822464, 'redshifts/outlier_fraction_cata_bin_4': 0.05828329175710678, 'redshifts/outlier_fraction_cata_bin_5': 0.01689508557319641}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▍ | 1326/1563 [2:05:47<19:10, 4.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([83442.])\n", + "total num of pts: tensor([30183., 20279., 8449., 4764., 2831., 16936.])\n", + "{'redshifts/bias_abs': 0.07548024505376816, 'redshifts/bias_abs_bin_0': 0.14442908763885498, 'redshifts/bias_abs_bin_1': 0.0904427096247673, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.043608587235212326, 'redshifts/bias_abs_bin_5': 0.023587072268128395, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.3088788092136383, 'redshifts/mse_bin_0': 0.4344974756240845, 'redshifts/mse_bin_1': 0.357662558555603, 'redshifts/mse_bin_2': 0.2921978235244751, 'redshifts/mse_bin_3': 0.21841584146022797, 'redshifts/mse_bin_4': 0.22781775891780853, 'redshifts/mse_bin_5': 0.07390782237052917, 'redshifts/nmad': 0.11163345724344254, 'redshifts/nmad_bin_0': 0.21108432114124298, 'redshifts/nmad_bin_1': 0.13328076899051666, 'redshifts/nmad_bin_2': 0.08752003312110901, 'redshifts/nmad_bin_3': 0.07063915580511093, 'redshifts/nmad_bin_4': 0.06434005498886108, 'redshifts/nmad_bin_5': 0.0349825918674469, 'redshifts/outlier_fraction': 0.32454878091812134, 'redshifts/outlier_fraction_bin_0': 0.48762547969818115, 'redshifts/outlier_fraction_bin_1': 0.35460329055786133, 'redshifts/outlier_fraction_bin_2': 0.2538762092590332, 'redshifts/outlier_fraction_bin_3': 0.1968933641910553, 'redshifts/outlier_fraction_bin_4': 0.18827269971370697, 'redshifts/outlier_fraction_bin_5': 0.09187529236078262, 'redshifts/outlier_fraction_cata': 0.08740203082561493, 'redshifts/outlier_fraction_cata_bin_0': 0.13076896965503693, 'redshifts/outlier_fraction_cata_bin_1': 0.09679964184761047, 'redshifts/outlier_fraction_cata_bin_2': 0.07799739390611649, 'redshifts/outlier_fraction_cata_bin_3': 0.05709487944841385, 'redshifts/outlier_fraction_cata_bin_4': 0.05828329175710678, 'redshifts/outlier_fraction_cata_bin_5': 0.016946149989962578}\n", + "total num of pts: tensor([83498.])\n", + "total num of pts: tensor([30209., 20293., 8452., 4766., 2833., 16945.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▍ | 1327/1563 [2:05:54<21:26, 5.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07548024505376816, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09045563638210297, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.043709807097911835, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004367757122963667, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.3088175654411316, 'redshifts/mse_bin_0': 0.4343221187591553, 'redshifts/mse_bin_1': 0.3576339781284332, 'redshifts/mse_bin_2': 0.29213887453079224, 'redshifts/mse_bin_3': 0.21834085881710052, 'redshifts/mse_bin_4': 0.22801853716373444, 'redshifts/mse_bin_5': 0.07388471812009811, 'redshifts/nmad': 0.11162790656089783, 'redshifts/nmad_bin_0': 0.2109847217798233, 'redshifts/nmad_bin_1': 0.13332873582839966, 'redshifts/nmad_bin_2': 0.08752003312110901, 'redshifts/nmad_bin_3': 0.07061109691858292, 'redshifts/nmad_bin_4': 0.06435555219650269, 'redshifts/nmad_bin_5': 0.03498959168791771, 'redshifts/outlier_fraction': 0.3246065676212311, 'redshifts/outlier_fraction_bin_0': 0.4875699281692505, 'redshifts/outlier_fraction_bin_1': 0.3547036051750183, 'redshifts/outlier_fraction_bin_2': 0.2540227174758911, 'redshifts/outlier_fraction_bin_3': 0.19702056050300598, 'redshifts/outlier_fraction_bin_4': 0.1884927600622177, 'redshifts/outlier_fraction_bin_5': 0.0918855145573616, 'redshifts/outlier_fraction_cata': 0.08739131689071655, 'redshifts/outlier_fraction_cata_bin_0': 0.13068953156471252, 'redshifts/outlier_fraction_cata_bin_1': 0.09683141857385635, 'redshifts/outlier_fraction_cata_bin_2': 0.07796971499919891, 'redshifts/outlier_fraction_cata_bin_3': 0.05707091838121414, 'redshifts/outlier_fraction_cata_bin_4': 0.05859512835741043, 'redshifts/outlier_fraction_cata_bin_5': 0.016937149688601494}\n", + "total num of pts: tensor([83561.])\n", + "total num of pts: tensor([30239., 20307., 8455., 4768., 2833., 16959.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▍ | 1328/1563 [2:05:59<20:47, 5.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07549410313367844, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09045563638210297, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.043709807097911835, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00016040737682487816, 'redshifts/mse': 0.3088165819644928, 'redshifts/mse_bin_0': 0.4342447519302368, 'redshifts/mse_bin_1': 0.35755810141563416, 'redshifts/mse_bin_2': 0.29210165143013, 'redshifts/mse_bin_3': 0.21825078129768372, 'redshifts/mse_bin_4': 0.22801853716373444, 'redshifts/mse_bin_5': 0.07409755885601044, 'redshifts/nmad': 0.11165158450603485, 'redshifts/nmad_bin_0': 0.2109847217798233, 'redshifts/nmad_bin_1': 0.13330206274986267, 'redshifts/nmad_bin_2': 0.08754535764455795, 'redshifts/nmad_bin_3': 0.07058435678482056, 'redshifts/nmad_bin_4': 0.06435555219650269, 'redshifts/nmad_bin_5': 0.03499576821923256, 'redshifts/outlier_fraction': 0.3246370851993561, 'redshifts/outlier_fraction_bin_0': 0.48754918575286865, 'redshifts/outlier_fraction_bin_1': 0.354705274105072, 'redshifts/outlier_fraction_bin_2': 0.2540508508682251, 'redshifts/outlier_fraction_bin_3': 0.1969379186630249, 'redshifts/outlier_fraction_bin_4': 0.1884927600622177, 'redshifts/outlier_fraction_bin_5': 0.09198655933141708, 'redshifts/outlier_fraction_cata': 0.08738526701927185, 'redshifts/outlier_fraction_cata_bin_0': 0.1306590884923935, 'redshifts/outlier_fraction_cata_bin_1': 0.09681390970945358, 'redshifts/outlier_fraction_cata_bin_2': 0.07794204354286194, 'redshifts/outlier_fraction_cata_bin_3': 0.057046979665756226, 'redshifts/outlier_fraction_cata_bin_4': 0.05859512835741043, 'redshifts/outlier_fraction_cata_bin_5': 0.01698213256895542}\n", + "total num of pts: tensor([83626.])\n", + "total num of pts: tensor([30252., 20317., 8472., 4775., 2836., 16974.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▌ | 1329/1563 [2:06:12<29:19, 7.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07547616958618164, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09047881513834, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004360631108283997, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.3087337911128998, 'redshifts/mse_bin_0': 0.43423059582710266, 'redshifts/mse_bin_1': 0.35747358202934265, 'redshifts/mse_bin_2': 0.29204174876213074, 'redshifts/mse_bin_3': 0.2180410474538803, 'redshifts/mse_bin_4': 0.2278135120868683, 'redshifts/mse_bin_5': 0.07409025728702545, 'redshifts/nmad': 0.11163365840911865, 'redshifts/nmad_bin_0': 0.21090838313102722, 'redshifts/nmad_bin_1': 0.13330206274986267, 'redshifts/nmad_bin_2': 0.08746212720870972, 'redshifts/nmad_bin_3': 0.07061109691858292, 'redshifts/nmad_bin_4': 0.06436174362897873, 'redshifts/nmad_bin_5': 0.03501073643565178, 'redshifts/outlier_fraction': 0.32457607984542847, 'redshifts/outlier_fraction_bin_0': 0.4875049591064453, 'redshifts/outlier_fraction_bin_1': 0.35467836260795593, 'redshifts/outlier_fraction_bin_2': 0.25401321053504944, 'redshifts/outlier_fraction_bin_3': 0.19706806540489197, 'redshifts/outlier_fraction_bin_4': 0.18829336762428284, 'redshifts/outlier_fraction_bin_5': 0.0920230969786644, 'redshifts/outlier_fraction_cata': 0.08736517280340195, 'redshifts/outlier_fraction_cata_bin_0': 0.13063599169254303, 'redshifts/outlier_fraction_cata_bin_1': 0.09676625579595566, 'redshifts/outlier_fraction_cata_bin_2': 0.07813975214958191, 'redshifts/outlier_fraction_cata_bin_3': 0.056963350623846054, 'redshifts/outlier_fraction_cata_bin_4': 0.05853314697742462, 'redshifts/outlier_fraction_cata_bin_5': 0.016967127099633217}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▌ | 1330/1563 [2:06:17<26:29, 6.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([83674.])\n", + "total num of pts: tensor([30270., 20330., 8474., 4779., 2836., 16985.])\n", + "{'redshifts/bias_abs': 0.07545687258243561, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.0904325395822525, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004365354776382446, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015237927436828613, 'redshifts/mse': 0.3087413012981415, 'redshifts/mse_bin_0': 0.4343688189983368, 'redshifts/mse_bin_1': 0.3573812246322632, 'redshifts/mse_bin_2': 0.2919740080833435, 'redshifts/mse_bin_3': 0.21792879700660706, 'redshifts/mse_bin_4': 0.2278135120868683, 'redshifts/mse_bin_5': 0.07406190782785416, 'redshifts/nmad': 0.11162665486335754, 'redshifts/nmad_bin_0': 0.2109985500574112, 'redshifts/nmad_bin_1': 0.13322052359580994, 'redshifts/nmad_bin_2': 0.08746212720870972, 'redshifts/nmad_bin_3': 0.07066972553730011, 'redshifts/nmad_bin_4': 0.06436174362897873, 'redshifts/nmad_bin_5': 0.03501073643565178, 'redshifts/outlier_fraction': 0.324581116437912, 'redshifts/outlier_fraction_bin_0': 0.48751237988471985, 'redshifts/outlier_fraction_bin_1': 0.35464829206466675, 'redshifts/outlier_fraction_bin_2': 0.2539532780647278, 'redshifts/outlier_fraction_bin_3': 0.19711236655712128, 'redshifts/outlier_fraction_bin_4': 0.18829336762428284, 'redshifts/outlier_fraction_bin_5': 0.09208124876022339, 'redshifts/outlier_fraction_cata': 0.0873628631234169, 'redshifts/outlier_fraction_cata_bin_0': 0.13065741956233978, 'redshifts/outlier_fraction_cata_bin_1': 0.0967535674571991, 'redshifts/outlier_fraction_cata_bin_2': 0.07812131196260452, 'redshifts/outlier_fraction_cata_bin_3': 0.05691567435860634, 'redshifts/outlier_fraction_cata_bin_4': 0.05853314697742462, 'redshifts/outlier_fraction_cata_bin_5': 0.016956137493252754}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▌ | 1331/1563 [2:06:22<24:20, 6.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([83723.])\n", + "total num of pts: tensor([30287., 20343., 8479., 4781., 2836., 16997.])\n", + "{'redshifts/bias_abs': 0.07545000314712524, 'redshifts/bias_abs_bin_0': 0.14442908763885498, 'redshifts/bias_abs_bin_1': 0.09043076634407043, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.023615658283233643, 'redshifts/bias': 0.004362853243947029, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.3087828457355499, 'redshifts/mse_bin_0': 0.43464940786361694, 'redshifts/mse_bin_1': 0.35727459192276, 'redshifts/mse_bin_2': 0.2918089032173157, 'redshifts/mse_bin_3': 0.21783798933029175, 'redshifts/mse_bin_4': 0.2278135120868683, 'redshifts/mse_bin_5': 0.07402051240205765, 'redshifts/nmad': 0.11162063479423523, 'redshifts/nmad_bin_0': 0.21108075976371765, 'redshifts/nmad_bin_1': 0.1332111656665802, 'redshifts/nmad_bin_2': 0.08746212720870972, 'redshifts/nmad_bin_3': 0.07063915580511093, 'redshifts/nmad_bin_4': 0.06436174362897873, 'redshifts/nmad_bin_5': 0.03501376137137413, 'redshifts/outlier_fraction': 0.3245822489261627, 'redshifts/outlier_fraction_bin_0': 0.48763495683670044, 'redshifts/outlier_fraction_bin_1': 0.3546183109283447, 'redshifts/outlier_fraction_bin_2': 0.2538035213947296, 'redshifts/outlier_fraction_bin_3': 0.19702990353107452, 'redshifts/outlier_fraction_bin_4': 0.18829336762428284, 'redshifts/outlier_fraction_bin_5': 0.09201623499393463, 'redshifts/outlier_fraction_cata': 0.08738339692354202, 'redshifts/outlier_fraction_cata_bin_0': 0.13078218698501587, 'redshifts/outlier_fraction_cata_bin_1': 0.09669173508882523, 'redshifts/outlier_fraction_cata_bin_2': 0.07807524502277374, 'redshifts/outlier_fraction_cata_bin_3': 0.05689186230301857, 'redshifts/outlier_fraction_cata_bin_4': 0.05853314697742462, 'redshifts/outlier_fraction_cata_bin_5': 0.016944166272878647}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▌ | 1332/1563 [2:06:26<21:37, 5.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([83791.])\n", + "total num of pts: tensor([30305., 20359., 8492., 4785., 2841., 17009.])\n", + "{'redshifts/bias_abs': 0.07542970031499863, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09041231870651245, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.02363508753478527, 'redshifts/bias': 0.004363330081105232, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.308868944644928, 'redshifts/mse_bin_0': 0.4347035884857178, 'redshifts/mse_bin_1': 0.3572906255722046, 'redshifts/mse_bin_2': 0.2925943434238434, 'redshifts/mse_bin_3': 0.21766451001167297, 'redshifts/mse_bin_4': 0.2280736267566681, 'redshifts/mse_bin_5': 0.07398703694343567, 'redshifts/nmad': 0.11158211529254913, 'redshifts/nmad_bin_0': 0.21105007827281952, 'redshifts/nmad_bin_1': 0.1332024782896042, 'redshifts/nmad_bin_2': 0.08752003312110901, 'redshifts/nmad_bin_3': 0.0705755352973938, 'redshifts/nmad_bin_4': 0.06435555219650269, 'redshifts/nmad_bin_5': 0.035055048763751984, 'redshifts/outlier_fraction': 0.3245694637298584, 'redshifts/outlier_fraction_bin_0': 0.48757630586624146, 'redshifts/outlier_fraction_bin_1': 0.3546343147754669, 'redshifts/outlier_fraction_bin_2': 0.25400376319885254, 'redshifts/outlier_fraction_bin_3': 0.19686520099639893, 'redshifts/outlier_fraction_bin_4': 0.18831397593021393, 'redshifts/outlier_fraction_bin_5': 0.09206890314817429, 'redshifts/outlier_fraction_cata': 0.08741988986730576, 'redshifts/outlier_fraction_cata_bin_0': 0.13080349564552307, 'redshifts/outlier_fraction_cata_bin_1': 0.09671398252248764, 'redshifts/outlier_fraction_cata_bin_2': 0.07830899953842163, 'redshifts/outlier_fraction_cata_bin_3': 0.056844305247068405, 'redshifts/outlier_fraction_cata_bin_4': 0.05878211930394173, 'redshifts/outlier_fraction_cata_bin_5': 0.016932211816310883}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▌ | 1333/1563 [2:06:30<19:58, 5.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([83839.])\n", + "total num of pts: tensor([30322., 20367., 8496., 4790., 2845., 17019.])\n", + "{'redshifts/bias_abs': 0.07543902099132538, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09043076634407043, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04381402209401131, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004362435545772314, 'redshifts/bias_bin_0': 0.02825101651251316, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.30897414684295654, 'redshifts/mse_bin_0': 0.43480879068374634, 'redshifts/mse_bin_1': 0.3573203980922699, 'redshifts/mse_bin_2': 0.29246261715888977, 'redshifts/mse_bin_3': 0.2180320769548416, 'redshifts/mse_bin_4': 0.23009580373764038, 'redshifts/mse_bin_5': 0.07394561171531677, 'redshifts/nmad': 0.11158939450979233, 'redshifts/nmad_bin_0': 0.21094222366809845, 'redshifts/nmad_bin_1': 0.13320522010326385, 'redshifts/nmad_bin_2': 0.08744151890277863, 'redshifts/nmad_bin_3': 0.07063915580511093, 'redshifts/nmad_bin_4': 0.06436174362897873, 'redshifts/nmad_bin_5': 0.03502397611737251, 'redshifts/outlier_fraction': 0.32456254959106445, 'redshifts/outlier_fraction_bin_0': 0.4875667691230774, 'redshifts/outlier_fraction_bin_1': 0.3546423017978668, 'redshifts/outlier_fraction_bin_2': 0.2538841664791107, 'redshifts/outlier_fraction_bin_3': 0.19707724452018738, 'redshifts/outlier_fraction_bin_4': 0.1887522041797638, 'redshifts/outlier_fraction_bin_5': 0.09201480448246002, 'redshifts/outlier_fraction_cata': 0.08746526390314102, 'redshifts/outlier_fraction_cata_bin_0': 0.13086208701133728, 'redshifts/outlier_fraction_cata_bin_1': 0.09677419066429138, 'redshifts/outlier_fraction_cata_bin_2': 0.07827212661504745, 'redshifts/outlier_fraction_cata_bin_3': 0.05699373781681061, 'redshifts/outlier_fraction_cata_bin_4': 0.059050966054201126, 'redshifts/outlier_fraction_cata_bin_5': 0.01692226342856884}\n", + "total num of pts: tensor([83901.])\n", + "total num of pts: tensor([30342., 20382., 8507., 4795., 2845., 17030.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▌ | 1334/1563 [2:06:36<20:14, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07542234659194946, 'redshifts/bias_abs_bin_0': 0.14442908763885498, 'redshifts/bias_abs_bin_1': 0.0903375893831253, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04381402209401131, 'redshifts/bias_abs_bin_5': 0.023615658283233643, 'redshifts/bias': 0.004351495299488306, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00017014109471347183, 'redshifts/mse': 0.30897271633148193, 'redshifts/mse_bin_0': 0.43500804901123047, 'redshifts/mse_bin_1': 0.3571512997150421, 'redshifts/mse_bin_2': 0.29216957092285156, 'redshifts/mse_bin_3': 0.21783486008644104, 'redshifts/mse_bin_4': 0.23009580373764038, 'redshifts/mse_bin_5': 0.07398667186498642, 'redshifts/nmad': 0.11157965660095215, 'redshifts/nmad_bin_0': 0.21103762090206146, 'redshifts/nmad_bin_1': 0.13317608833312988, 'redshifts/nmad_bin_2': 0.08734652400016785, 'redshifts/nmad_bin_3': 0.0705755352973938, 'redshifts/nmad_bin_4': 0.06436174362897873, 'redshifts/nmad_bin_5': 0.03500792756676674, 'redshifts/outlier_fraction': 0.32456108927726746, 'redshifts/outlier_fraction_bin_0': 0.4876738488674164, 'redshifts/outlier_fraction_bin_1': 0.3545285165309906, 'redshifts/outlier_fraction_bin_2': 0.25390854477882385, 'redshifts/outlier_fraction_bin_3': 0.19687174260616302, 'redshifts/outlier_fraction_bin_4': 0.1887522041797638, 'redshifts/outlier_fraction_bin_5': 0.09201408922672272, 'redshifts/outlier_fraction_cata': 0.08747214078903198, 'redshifts/outlier_fraction_cata_bin_0': 0.13094061613082886, 'redshifts/outlier_fraction_cata_bin_1': 0.09670297056436539, 'redshifts/outlier_fraction_cata_bin_2': 0.07817091792821884, 'redshifts/outlier_fraction_cata_bin_3': 0.056934308260679245, 'redshifts/outlier_fraction_cata_bin_4': 0.059050966054201126, 'redshifts/outlier_fraction_cata_bin_5': 0.01697005331516266}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▌ | 1335/1563 [2:06:41<19:54, 5.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([83955.])\n", + "total num of pts: tensor([30367., 20399., 8512., 4797., 2846., 17034.])\n", + "{'redshifts/bias_abs': 0.0754220113158226, 'redshifts/bias_abs_bin_0': 0.14443564414978027, 'redshifts/bias_abs_bin_1': 0.09031876921653748, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004362338688224554, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005238689947873354, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00016040737682487816, 'redshifts/mse': 0.30904027819633484, 'redshifts/mse_bin_0': 0.4350408911705017, 'redshifts/mse_bin_1': 0.3571649193763733, 'redshifts/mse_bin_2': 0.29227516055107117, 'redshifts/mse_bin_3': 0.21811044216156006, 'redshifts/mse_bin_4': 0.23001644015312195, 'redshifts/mse_bin_5': 0.07397035509347916, 'redshifts/nmad': 0.11157581955194473, 'redshifts/nmad_bin_0': 0.21113356947898865, 'redshifts/nmad_bin_1': 0.13307294249534607, 'redshifts/nmad_bin_2': 0.08734652400016785, 'redshifts/nmad_bin_3': 0.07054522633552551, 'redshifts/nmad_bin_4': 0.0643039345741272, 'redshifts/nmad_bin_5': 0.03499883413314819, 'redshifts/outlier_fraction': 0.32462629675865173, 'redshifts/outlier_fraction_bin_0': 0.4877004623413086, 'redshifts/outlier_fraction_bin_1': 0.35452717542648315, 'redshifts/outlier_fraction_bin_2': 0.2541118562221527, 'redshifts/outlier_fraction_bin_3': 0.19699811935424805, 'redshifts/outlier_fraction_bin_4': 0.18868587911128998, 'redshifts/outlier_fraction_bin_5': 0.09199248254299164, 'redshifts/outlier_fraction_cata': 0.08751116693019867, 'redshifts/outlier_fraction_cata_bin_0': 0.13096453249454498, 'redshifts/outlier_fraction_cata_bin_1': 0.09672042727470398, 'redshifts/outlier_fraction_cata_bin_2': 0.0782424807548523, 'redshifts/outlier_fraction_cata_bin_3': 0.057119034230709076, 'redshifts/outlier_fraction_cata_bin_4': 0.05903021618723869, 'redshifts/outlier_fraction_cata_bin_5': 0.016966067254543304}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 85%|████████▌ | 1336/1563 [2:06:47<20:22, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([84025.])\n", + "total num of pts: tensor([30397., 20411., 8526., 4798., 2849., 17044.])\n", + "{'redshifts/bias_abs': 0.07542234659194946, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.0903375893831253, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.043814901262521744, 'redshifts/bias_abs_bin_5': 0.023594792932271957, 'redshifts/bias': 0.004362151026725769, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005238689947873354, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00016040737682487816, 'redshifts/mse': 0.3090366721153259, 'redshifts/mse_bin_0': 0.4349592924118042, 'redshifts/mse_bin_1': 0.3571394085884094, 'redshifts/mse_bin_2': 0.2919518053531647, 'redshifts/mse_bin_3': 0.21806584298610687, 'redshifts/mse_bin_4': 0.22982390224933624, 'redshifts/mse_bin_5': 0.07425017654895782, 'redshifts/nmad': 0.11158068478107452, 'redshifts/nmad_bin_0': 0.2110949456691742, 'redshifts/nmad_bin_1': 0.13317608833312988, 'redshifts/nmad_bin_2': 0.08739438652992249, 'redshifts/nmad_bin_3': 0.07054522633552551, 'redshifts/nmad_bin_4': 0.0644056648015976, 'redshifts/nmad_bin_5': 0.03499414771795273, 'redshifts/outlier_fraction': 0.32464146614074707, 'redshifts/outlier_fraction_bin_0': 0.4876139163970947, 'redshifts/outlier_fraction_bin_1': 0.35461270809173584, 'redshifts/outlier_fraction_bin_2': 0.2540464401245117, 'redshifts/outlier_fraction_bin_3': 0.196957066655159, 'redshifts/outlier_fraction_bin_4': 0.18918919563293457, 'redshifts/outlier_fraction_bin_5': 0.0919971838593483, 'redshifts/outlier_fraction_cata': 0.08750966936349869, 'redshifts/outlier_fraction_cata_bin_0': 0.1309339702129364, 'redshifts/outlier_fraction_cata_bin_1': 0.0967615470290184, 'redshifts/outlier_fraction_cata_bin_2': 0.07811400294303894, 'redshifts/outlier_fraction_cata_bin_3': 0.05710712820291519, 'redshifts/outlier_fraction_cata_bin_4': 0.058968059718608856, 'redshifts/outlier_fraction_cata_bin_5': 0.01701478473842144}\n", + "total num of pts: tensor([84082.])\n", + "total num of pts: tensor([30416., 20427., 8532., 4805., 2850., 17052.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1337/1563 [2:06:53<21:10, 5.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07541504502296448, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09031876921653748, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.043814901262521744, 'redshifts/bias_abs_bin_5': 0.023587072268128395, 'redshifts/bias': 0.004359842743724585, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.3091130256652832, 'redshifts/mse_bin_0': 0.4350897967815399, 'redshifts/mse_bin_1': 0.3571169078350067, 'redshifts/mse_bin_2': 0.2924845814704895, 'redshifts/mse_bin_3': 0.2177577167749405, 'redshifts/mse_bin_4': 0.22976243495941162, 'redshifts/mse_bin_5': 0.07422418147325516, 'redshifts/nmad': 0.11156805604696274, 'redshifts/nmad_bin_0': 0.2109972983598709, 'redshifts/nmad_bin_1': 0.13306552171707153, 'redshifts/nmad_bin_2': 0.0873737782239914, 'redshifts/nmad_bin_3': 0.07049015909433365, 'redshifts/nmad_bin_4': 0.06439195573329926, 'redshifts/nmad_bin_5': 0.034984931349754333, 'redshifts/outlier_fraction': 0.3245879113674164, 'redshifts/outlier_fraction_bin_0': 0.4875723421573639, 'redshifts/outlier_fraction_bin_1': 0.3544818162918091, 'redshifts/outlier_fraction_bin_2': 0.2541022002696991, 'redshifts/outlier_fraction_bin_3': 0.19667012989521027, 'redshifts/outlier_fraction_bin_4': 0.18912281095981598, 'redshifts/outlier_fraction_bin_5': 0.0920126661658287, 'redshifts/outlier_fraction_cata': 0.08752170205116272, 'redshifts/outlier_fraction_cata_bin_0': 0.13098369538784027, 'redshifts/outlier_fraction_cata_bin_1': 0.09673471748828888, 'redshifts/outlier_fraction_cata_bin_2': 0.07817627489566803, 'redshifts/outlier_fraction_cata_bin_3': 0.05702393501996994, 'redshifts/outlier_fraction_cata_bin_4': 0.0589473694562912, 'redshifts/outlier_fraction_cata_bin_5': 0.017006803303956985}\n", + "total num of pts: tensor([84128.])\n", + "total num of pts: tensor([30435., 20439., 8538., 4805., 2851., 17060.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1338/1563 [2:06:58<20:34, 5.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07540929317474365, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.0438467413187027, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004350179340690374, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00016040737682487816, 'redshifts/mse': 0.30922138690948486, 'redshifts/mse_bin_0': 0.43525081872940063, 'redshifts/mse_bin_1': 0.35738834738731384, 'redshifts/mse_bin_2': 0.2923063337802887, 'redshifts/mse_bin_3': 0.2177577167749405, 'redshifts/mse_bin_4': 0.2296929806470871, 'redshifts/mse_bin_5': 0.07419324666261673, 'redshifts/nmad': 0.11155503243207932, 'redshifts/nmad_bin_0': 0.2110079973936081, 'redshifts/nmad_bin_1': 0.13303272426128387, 'redshifts/nmad_bin_2': 0.08734987676143646, 'redshifts/nmad_bin_3': 0.07049015909433365, 'redshifts/nmad_bin_4': 0.06442764401435852, 'redshifts/nmad_bin_5': 0.03498542308807373, 'redshifts/outlier_fraction': 0.32461249828338623, 'redshifts/outlier_fraction_bin_0': 0.4875965118408203, 'redshifts/outlier_fraction_bin_1': 0.3544693887233734, 'redshifts/outlier_fraction_bin_2': 0.2541578710079193, 'redshifts/outlier_fraction_bin_3': 0.19667012989521027, 'redshifts/outlier_fraction_bin_4': 0.18905647099018097, 'redshifts/outlier_fraction_bin_5': 0.09202813357114792, 'redshifts/outlier_fraction_cata': 0.08755705505609512, 'redshifts/outlier_fraction_cata_bin_0': 0.1310662031173706, 'redshifts/outlier_fraction_cata_bin_1': 0.09677577018737793, 'redshifts/outlier_fraction_cata_bin_2': 0.07812134176492691, 'redshifts/outlier_fraction_cata_bin_3': 0.05702393501996994, 'redshifts/outlier_fraction_cata_bin_4': 0.058926694095134735, 'redshifts/outlier_fraction_cata_bin_5': 0.01699882745742798}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1339/1563 [2:07:02<18:56, 5.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([84183.])\n", + "total num of pts: tensor([30451., 20448., 8544., 4810., 2851., 17079.])\n", + "{'redshifts/bias_abs': 0.07540929317474365, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.09019730240106583, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.0438467413187027, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.0043510496616363525, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00017014109471347183, 'redshifts/mse': 0.3092305362224579, 'redshifts/mse_bin_0': 0.43533486127853394, 'redshifts/mse_bin_1': 0.35734716057777405, 'redshifts/mse_bin_2': 0.2922515571117401, 'redshifts/mse_bin_3': 0.21754492819309235, 'redshifts/mse_bin_4': 0.2296929806470871, 'redshifts/mse_bin_5': 0.07437573373317719, 'redshifts/nmad': 0.11155501753091812, 'redshifts/nmad_bin_0': 0.21102339029312134, 'redshifts/nmad_bin_1': 0.13302713632583618, 'redshifts/nmad_bin_2': 0.08734145760536194, 'redshifts/nmad_bin_3': 0.07043494284152985, 'redshifts/nmad_bin_4': 0.06442764401435852, 'redshifts/nmad_bin_5': 0.035001568496227264, 'redshifts/outlier_fraction': 0.3246023654937744, 'redshifts/outlier_fraction_bin_0': 0.48763588070869446, 'redshifts/outlier_fraction_bin_1': 0.35446009039878845, 'redshifts/outlier_fraction_bin_2': 0.25421348214149475, 'redshifts/outlier_fraction_bin_3': 0.19646570086479187, 'redshifts/outlier_fraction_bin_4': 0.18905647099018097, 'redshifts/outlier_fraction_bin_5': 0.09210141003131866, 'redshifts/outlier_fraction_cata': 0.08757112175226212, 'redshifts/outlier_fraction_cata_bin_0': 0.13109585642814636, 'redshifts/outlier_fraction_cata_bin_1': 0.09678208082914352, 'redshifts/outlier_fraction_cata_bin_2': 0.07806647568941116, 'redshifts/outlier_fraction_cata_bin_3': 0.056964658200740814, 'redshifts/outlier_fraction_cata_bin_4': 0.058926694095134735, 'redshifts/outlier_fraction_cata_bin_5': 0.017097020521759987}\n", + "total num of pts: tensor([84246.])\n", + "total num of pts: tensor([30471., 20460., 8554., 4812., 2854., 17095.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1340/1563 [2:07:08<19:45, 5.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07539919018745422, 'redshifts/bias_abs_bin_0': 0.14440324902534485, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.043814901262521744, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.004350179340690374, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.005238689947873354, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00017014109471347183, 'redshifts/mse': 0.309185653924942, 'redshifts/mse_bin_0': 0.4352984130382538, 'redshifts/mse_bin_1': 0.35715121030807495, 'redshifts/mse_bin_2': 0.2920600473880768, 'redshifts/mse_bin_3': 0.21745450794696808, 'redshifts/mse_bin_4': 0.2317141592502594, 'redshifts/mse_bin_5': 0.07431087642908096, 'redshifts/nmad': 0.11152243614196777, 'redshifts/nmad_bin_0': 0.2111101895570755, 'redshifts/nmad_bin_1': 0.1329650729894638, 'redshifts/nmad_bin_2': 0.08741039037704468, 'redshifts/nmad_bin_3': 0.07040463387966156, 'redshifts/nmad_bin_4': 0.06439195573329926, 'redshifts/nmad_bin_5': 0.035001568496227264, 'redshifts/outlier_fraction': 0.324573278427124, 'redshifts/outlier_fraction_bin_0': 0.48767679929733276, 'redshifts/outlier_fraction_bin_1': 0.3543010652065277, 'redshifts/outlier_fraction_bin_2': 0.2545008063316345, 'redshifts/outlier_fraction_bin_3': 0.19638404250144958, 'redshifts/outlier_fraction_bin_4': 0.18920813500881195, 'redshifts/outlier_fraction_bin_5': 0.09201520681381226, 'redshifts/outlier_fraction_cata': 0.08754124492406845, 'redshifts/outlier_fraction_cata_bin_0': 0.1310754418373108, 'redshifts/outlier_fraction_cata_bin_1': 0.09672531485557556, 'redshifts/outlier_fraction_cata_bin_2': 0.07797521352767944, 'redshifts/outlier_fraction_cata_bin_3': 0.05694098025560379, 'redshifts/outlier_fraction_cata_bin_4': 0.059215135872364044, 'redshifts/outlier_fraction_cata_bin_5': 0.017081018537282944}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1341/1563 [2:07:14<20:06, 5.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([84298.])\n", + "total num of pts: tensor([30488., 20474., 8562., 4814., 2857., 17103.])\n", + "{'redshifts/bias_abs': 0.07539743930101395, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.043814901262521744, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.028216304257512093, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.005238689947873354, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00017118453979492188, 'redshifts/mse': 0.3091212809085846, 'redshifts/mse_bin_0': 0.43518564105033875, 'redshifts/mse_bin_1': 0.3570249676704407, 'redshifts/mse_bin_2': 0.2918952703475952, 'redshifts/mse_bin_3': 0.2180328220129013, 'redshifts/mse_bin_4': 0.23148192465305328, 'redshifts/mse_bin_5': 0.07428193092346191, 'redshifts/nmad': 0.11152109503746033, 'redshifts/nmad_bin_0': 0.2109888792037964, 'redshifts/nmad_bin_1': 0.13291306793689728, 'redshifts/nmad_bin_2': 0.08741039037704468, 'redshifts/nmad_bin_3': 0.07040463387966156, 'redshifts/nmad_bin_4': 0.0644056648015976, 'redshifts/nmad_bin_5': 0.035003114491701126, 'redshifts/outlier_fraction': 0.3245035409927368, 'redshifts/outlier_fraction_bin_0': 0.4876016676425934, 'redshifts/outlier_fraction_bin_1': 0.354156494140625, 'redshifts/outlier_fraction_bin_2': 0.25449660420417786, 'redshifts/outlier_fraction_bin_3': 0.1965101808309555, 'redshifts/outlier_fraction_bin_4': 0.18900945782661438, 'redshifts/outlier_fraction_bin_5': 0.09197217226028442, 'redshifts/outlier_fraction_cata': 0.08752283453941345, 'redshifts/outlier_fraction_cata_bin_0': 0.13103516399860382, 'redshifts/outlier_fraction_cata_bin_1': 0.0967080220580101, 'redshifts/outlier_fraction_cata_bin_2': 0.07790236175060272, 'redshifts/outlier_fraction_cata_bin_3': 0.05712505057454109, 'redshifts/outlier_fraction_cata_bin_4': 0.059152957051992416, 'redshifts/outlier_fraction_cata_bin_5': 0.017073027789592743}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1342/1563 [2:07:19<20:27, 5.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([84368.])\n", + "total num of pts: tensor([30514., 20491., 8569., 4816., 2858., 17120.])\n", + "{'redshifts/bias_abs': 0.07539714127779007, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04381402209401131, 'redshifts/bias_abs_bin_5': 0.023594792932271957, 'redshifts/bias': 0.004337481688708067, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.005238689947873354, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.30924856662750244, 'redshifts/mse_bin_0': 0.43531033396720886, 'redshifts/mse_bin_1': 0.3567914366722107, 'redshifts/mse_bin_2': 0.2924079895019531, 'redshifts/mse_bin_3': 0.21794457733631134, 'redshifts/mse_bin_4': 0.23140163719654083, 'redshifts/mse_bin_5': 0.07476450502872467, 'redshifts/nmad': 0.11152373999357224, 'redshifts/nmad_bin_0': 0.2109842151403427, 'redshifts/nmad_bin_1': 0.13295811414718628, 'redshifts/nmad_bin_2': 0.08746588975191116, 'redshifts/nmad_bin_3': 0.07039102166891098, 'redshifts/nmad_bin_4': 0.06438371539115906, 'redshifts/nmad_bin_5': 0.03499407693743706, 'redshifts/outlier_fraction': 0.32451876997947693, 'redshifts/outlier_fraction_bin_0': 0.487612247467041, 'redshifts/outlier_fraction_bin_1': 0.3540578782558441, 'redshifts/outlier_fraction_bin_2': 0.25463882088661194, 'redshifts/outlier_fraction_bin_3': 0.1964285671710968, 'redshifts/outlier_fraction_bin_4': 0.1889433115720749, 'redshifts/outlier_fraction_bin_5': 0.09211448580026627, 'redshifts/outlier_fraction_cata': 0.08752133697271347, 'redshifts/outlier_fraction_cata_bin_0': 0.1310545951128006, 'redshifts/outlier_fraction_cata_bin_1': 0.09662778675556183, 'redshifts/outlier_fraction_cata_bin_2': 0.07795541733503342, 'redshifts/outlier_fraction_cata_bin_3': 0.057101327925920486, 'redshifts/outlier_fraction_cata_bin_4': 0.05913225933909416, 'redshifts/outlier_fraction_cata_bin_5': 0.017114486545324326}\n", + "total num of pts: tensor([84432.])\n", + "total num of pts: tensor([30535., 20506., 8576., 4820., 2864., 17131.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1343/1563 [2:07:26<21:17, 5.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07539661973714828, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.043814901262521744, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004343187436461449, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.3093215823173523, 'redshifts/mse_bin_0': 0.43531790375709534, 'redshifts/mse_bin_1': 0.35668081045150757, 'redshifts/mse_bin_2': 0.29308053851127625, 'redshifts/mse_bin_3': 0.21818622946739197, 'redshifts/mse_bin_4': 0.2321762591600418, 'redshifts/mse_bin_5': 0.07471886277198792, 'redshifts/nmad': 0.11151527613401413, 'redshifts/nmad_bin_0': 0.2108520120382309, 'redshifts/nmad_bin_1': 0.1328522264957428, 'redshifts/nmad_bin_2': 0.08752245455980301, 'redshifts/nmad_bin_3': 0.07032152265310287, 'redshifts/nmad_bin_4': 0.06442764401435852, 'redshifts/nmad_bin_5': 0.03500300645828247, 'redshifts/outlier_fraction': 0.32448598742485046, 'redshifts/outlier_fraction_bin_0': 0.48747339844703674, 'redshifts/outlier_fraction_bin_1': 0.35394519567489624, 'redshifts/outlier_fraction_bin_2': 0.25501400232315063, 'redshifts/outlier_fraction_bin_3': 0.19668050110340118, 'redshifts/outlier_fraction_bin_4': 0.18924580514431, 'redshifts/outlier_fraction_bin_5': 0.09205533564090729, 'redshifts/outlier_fraction_cata': 0.08754974603652954, 'redshifts/outlier_fraction_cata_bin_0': 0.13106271624565125, 'redshifts/outlier_fraction_cata_bin_1': 0.09660587459802628, 'redshifts/outlier_fraction_cata_bin_2': 0.078125, 'redshifts/outlier_fraction_cata_bin_3': 0.05726141110062599, 'redshifts/outlier_fraction_cata_bin_4': 0.05935754254460335, 'redshifts/outlier_fraction_cata_bin_5': 0.017103496938943863}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1344/1563 [2:07:31<20:25, 5.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([84485.])\n", + "total num of pts: tensor([30558., 20520., 8579., 4822., 2865., 17141.])\n", + "{'redshifts/bias_abs': 0.07539141923189163, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.08997008949518204, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.0438467413187027, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.004337481688708067, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.0024975943379104137, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.3093225657939911, 'redshifts/mse_bin_0': 0.4353387951850891, 'redshifts/mse_bin_1': 0.356533020734787, 'redshifts/mse_bin_2': 0.29305920004844666, 'redshifts/mse_bin_3': 0.21810828149318695, 'redshifts/mse_bin_4': 0.23315726220607758, 'redshifts/mse_bin_5': 0.07467880845069885, 'redshifts/nmad': 0.11150871217250824, 'redshifts/nmad_bin_0': 0.2108520120382309, 'redshifts/nmad_bin_1': 0.13277463614940643, 'redshifts/nmad_bin_2': 0.08751913160085678, 'redshifts/nmad_bin_3': 0.07032152265310287, 'redshifts/nmad_bin_4': 0.06447947025299072, 'redshifts/nmad_bin_5': 0.03499993681907654, 'redshifts/outlier_fraction': 0.3244718015193939, 'redshifts/outlier_fraction_bin_0': 0.4874991774559021, 'redshifts/outlier_fraction_bin_1': 0.3538011610507965, 'redshifts/outlier_fraction_bin_2': 0.2550413906574249, 'redshifts/outlier_fraction_bin_3': 0.19659891724586487, 'redshifts/outlier_fraction_bin_4': 0.18952879309654236, 'redshifts/outlier_fraction_bin_5': 0.09200163185596466, 'redshifts/outlier_fraction_cata': 0.08754216879606247, 'redshifts/outlier_fraction_cata_bin_0': 0.13102951645851135, 'redshifts/outlier_fraction_cata_bin_1': 0.09658869355916977, 'redshifts/outlier_fraction_cata_bin_2': 0.07809767872095108, 'redshifts/outlier_fraction_cata_bin_3': 0.0572376623749733, 'redshifts/outlier_fraction_cata_bin_4': 0.05968586355447769, 'redshifts/outlier_fraction_cata_bin_5': 0.017093518748879433}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1345/1563 [2:07:36<19:38, 5.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([84539.])\n", + "total num of pts: tensor([30574., 20540., 8586., 4825., 2865., 17149.])\n", + "{'redshifts/bias_abs': 0.07538503408432007, 'redshifts/bias_abs_bin_0': 0.14418962597846985, 'redshifts/bias_abs_bin_1': 0.08997008949518204, 'redshifts/bias_abs_bin_2': 0.05904543399810791, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.0438467413187027, 'redshifts/bias_abs_bin_5': 0.023594792932271957, 'redshifts/bias': 0.004334075376391411, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.3093872666358948, 'redshifts/mse_bin_0': 0.4351339340209961, 'redshifts/mse_bin_1': 0.35679110884666443, 'redshifts/mse_bin_2': 0.29385408759117126, 'redshifts/mse_bin_3': 0.21798233687877655, 'redshifts/mse_bin_4': 0.23315726220607758, 'redshifts/mse_bin_5': 0.07465056329965591, 'redshifts/nmad': 0.11150559037923813, 'redshifts/nmad_bin_0': 0.21070986986160278, 'redshifts/nmad_bin_1': 0.13278073072433472, 'redshifts/nmad_bin_2': 0.08752844482660294, 'redshifts/nmad_bin_3': 0.07032152265310287, 'redshifts/nmad_bin_4': 0.06447947025299072, 'redshifts/nmad_bin_5': 0.03498997911810875, 'redshifts/outlier_fraction': 0.3244301378726959, 'redshifts/outlier_fraction_bin_0': 0.4873094856739044, 'redshifts/outlier_fraction_bin_1': 0.35379746556282043, 'redshifts/outlier_fraction_bin_2': 0.2551828622817993, 'redshifts/outlier_fraction_bin_3': 0.19668394327163696, 'redshifts/outlier_fraction_bin_4': 0.18952879309654236, 'redshifts/outlier_fraction_bin_5': 0.0920170247554779, 'redshifts/outlier_fraction_cata': 0.08754539489746094, 'redshifts/outlier_fraction_cata_bin_0': 0.13096094131469727, 'redshifts/outlier_fraction_cata_bin_1': 0.0966406986117363, 'redshifts/outlier_fraction_cata_bin_2': 0.07826694846153259, 'redshifts/outlier_fraction_cata_bin_3': 0.05720207095146179, 'redshifts/outlier_fraction_cata_bin_4': 0.05968586355447769, 'redshifts/outlier_fraction_cata_bin_5': 0.017085544764995575}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1346/1563 [2:07:43<21:29, 5.94s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([84611.])\n", + "total num of pts: tensor([30600., 20553., 8591., 4835., 2867., 17165.])\n", + "{'redshifts/bias_abs': 0.07537379860877991, 'redshifts/bias_abs_bin_0': 0.1441771686077118, 'redshifts/bias_abs_bin_1': 0.08998534828424454, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.0438467413187027, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004335101693868637, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00015457035624422133, 'redshifts/mse': 0.3093545734882355, 'redshifts/mse_bin_0': 0.4350703954696655, 'redshifts/mse_bin_1': 0.3566313683986664, 'redshifts/mse_bin_2': 0.29375743865966797, 'redshifts/mse_bin_3': 0.2176346331834793, 'redshifts/mse_bin_4': 0.2331642210483551, 'redshifts/mse_bin_5': 0.07499798387289047, 'redshifts/nmad': 0.11148416996002197, 'redshifts/nmad_bin_0': 0.210804283618927, 'redshifts/nmad_bin_1': 0.1328415870666504, 'redshifts/nmad_bin_2': 0.08747715502977371, 'redshifts/nmad_bin_3': 0.07033652812242508, 'redshifts/nmad_bin_4': 0.06450358778238297, 'redshifts/nmad_bin_5': 0.0349854938685894, 'redshifts/outlier_fraction': 0.32441407442092896, 'redshifts/outlier_fraction_bin_0': 0.48728758096694946, 'redshifts/outlier_fraction_bin_1': 0.35376831889152527, 'redshifts/outlier_fraction_bin_2': 0.2551507353782654, 'redshifts/outlier_fraction_bin_3': 0.19669079780578613, 'redshifts/outlier_fraction_bin_4': 0.18974538147449493, 'redshifts/outlier_fraction_bin_5': 0.09204777330160141, 'redshifts/outlier_fraction_cata': 0.08750635385513306, 'redshifts/outlier_fraction_cata_bin_0': 0.13091503083705902, 'redshifts/outlier_fraction_cata_bin_1': 0.09657957404851913, 'redshifts/outlier_fraction_cata_bin_2': 0.078221395611763, 'redshifts/outlier_fraction_cata_bin_3': 0.05708376318216324, 'redshifts/outlier_fraction_cata_bin_4': 0.05964422598481178, 'redshifts/outlier_fraction_cata_bin_5': 0.017127877101302147}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1347/1563 [2:07:50<22:54, 6.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([84670.])\n", + "total num of pts: tensor([30617., 20569., 8595., 4837., 2870., 17182.])\n", + "{'redshifts/bias_abs': 0.07534439116716385, 'redshifts/bias_abs_bin_0': 0.14418962597846985, 'redshifts/bias_abs_bin_1': 0.08998534828424454, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04381402209401131, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.0043456098064780235, 'redshifts/bias_bin_0': 0.028232475742697716, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.30935579538345337, 'redshifts/mse_bin_0': 0.43518126010894775, 'redshifts/mse_bin_1': 0.35661086440086365, 'redshifts/mse_bin_2': 0.2938792407512665, 'redshifts/mse_bin_3': 0.21754923462867737, 'redshifts/mse_bin_4': 0.23292459547519684, 'redshifts/mse_bin_5': 0.07492516189813614, 'redshifts/nmad': 0.1114509180188179, 'redshifts/nmad_bin_0': 0.21081236004829407, 'redshifts/nmad_bin_1': 0.13284307718276978, 'redshifts/nmad_bin_2': 0.08747715502977371, 'redshifts/nmad_bin_3': 0.07033652812242508, 'redshifts/nmad_bin_4': 0.0644078329205513, 'redshifts/nmad_bin_5': 0.03497471660375595, 'redshifts/outlier_fraction': 0.3243888020515442, 'redshifts/outlier_fraction_bin_0': 0.4873109757900238, 'redshifts/outlier_fraction_bin_1': 0.35378482937812805, 'redshifts/outlier_fraction_bin_2': 0.2552646994590759, 'redshifts/outlier_fraction_bin_3': 0.1966094672679901, 'redshifts/outlier_fraction_bin_4': 0.18954703211784363, 'redshifts/outlier_fraction_bin_5': 0.09195669740438461, 'redshifts/outlier_fraction_cata': 0.08753985911607742, 'redshifts/outlier_fraction_cata_bin_0': 0.1310056447982788, 'redshifts/outlier_fraction_cata_bin_1': 0.09660167992115021, 'redshifts/outlier_fraction_cata_bin_2': 0.078301340341568, 'redshifts/outlier_fraction_cata_bin_3': 0.057060159742832184, 'redshifts/outlier_fraction_cata_bin_4': 0.05958188325166702, 'redshifts/outlier_fraction_cata_bin_5': 0.017110930755734444}\n", + "total num of pts: tensor([84729.])\n", + "total num of pts: tensor([30641., 20582., 8602., 4840., 2870., 17194.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▌ | 1348/1563 [2:07:57<23:23, 6.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07535430788993835, 'redshifts/bias_abs_bin_0': 0.14421521127223969, 'redshifts/bias_abs_bin_1': 0.08995891362428665, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04381402209401131, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.004350179340690374, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.30945634841918945, 'redshifts/mse_bin_0': 0.43531039357185364, 'redshifts/mse_bin_1': 0.3567142188549042, 'redshifts/mse_bin_2': 0.29385918378829956, 'redshifts/mse_bin_3': 0.21815767884254456, 'redshifts/mse_bin_4': 0.23292459547519684, 'redshifts/mse_bin_5': 0.07488035410642624, 'redshifts/nmad': 0.11146716773509979, 'redshifts/nmad_bin_0': 0.21087823808193207, 'redshifts/nmad_bin_1': 0.13286350667476654, 'redshifts/nmad_bin_2': 0.08746588975191116, 'redshifts/nmad_bin_3': 0.07043494284152985, 'redshifts/nmad_bin_4': 0.0644078329205513, 'redshifts/nmad_bin_5': 0.03497471660375595, 'redshifts/outlier_fraction': 0.3244107663631439, 'redshifts/outlier_fraction_bin_0': 0.48738616704940796, 'redshifts/outlier_fraction_bin_1': 0.35370713472366333, 'redshifts/outlier_fraction_bin_2': 0.2552894651889801, 'redshifts/outlier_fraction_bin_3': 0.19690082967281342, 'redshifts/outlier_fraction_bin_4': 0.18954703211784363, 'redshifts/outlier_fraction_bin_5': 0.09189251810312271, 'redshifts/outlier_fraction_cata': 0.08757331967353821, 'redshifts/outlier_fraction_cata_bin_0': 0.13103358447551727, 'redshifts/outlier_fraction_cata_bin_1': 0.09663783758878708, 'redshifts/outlier_fraction_cata_bin_2': 0.0783538743853569, 'redshifts/outlier_fraction_cata_bin_3': 0.05723140388727188, 'redshifts/outlier_fraction_cata_bin_4': 0.05958188325166702, 'redshifts/outlier_fraction_cata_bin_5': 0.017098987475037575}\n", + "total num of pts: tensor([84791.])\n", + "total num of pts: tensor([30657., 20601., 8609., 4843., 2872., 17209.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▋ | 1349/1563 [2:08:03<21:52, 6.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07533010840415955, 'redshifts/bias_abs_bin_0': 0.14421521127223969, 'redshifts/bias_abs_bin_1': 0.08995891362428665, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.02357514202594757, 'redshifts/bias': 0.004351495299488306, 'redshifts/bias_bin_0': 0.02829381637275219, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.0052315485663712025, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00014220314915291965, 'redshifts/mse': 0.30946800112724304, 'redshifts/mse_bin_0': 0.43536674976348877, 'redshifts/mse_bin_1': 0.35686782002449036, 'redshifts/mse_bin_2': 0.2937886416912079, 'redshifts/mse_bin_3': 0.21802730858325958, 'redshifts/mse_bin_4': 0.2327636033296585, 'redshifts/mse_bin_5': 0.07481881976127625, 'redshifts/nmad': 0.11142735183238983, 'redshifts/nmad_bin_0': 0.21082846820354462, 'redshifts/nmad_bin_1': 0.13285066187381744, 'redshifts/nmad_bin_2': 0.0874224454164505, 'redshifts/nmad_bin_3': 0.07042604684829712, 'redshifts/nmad_bin_4': 0.06438371539115906, 'redshifts/nmad_bin_5': 0.034962113946676254, 'redshifts/outlier_fraction': 0.3243504762649536, 'redshifts/outlier_fraction_bin_0': 0.4873601496219635, 'redshifts/outlier_fraction_bin_1': 0.3536721467971802, 'redshifts/outlier_fraction_bin_2': 0.2553142011165619, 'redshifts/outlier_fraction_bin_3': 0.19677884876728058, 'redshifts/outlier_fraction_bin_4': 0.18941503763198853, 'redshifts/outlier_fraction_bin_5': 0.09181242436170578, 'redshifts/outlier_fraction_cata': 0.08758004754781723, 'redshifts/outlier_fraction_cata_bin_0': 0.1310630589723587, 'redshifts/outlier_fraction_cata_bin_1': 0.0966457948088646, 'redshifts/outlier_fraction_cata_bin_2': 0.07840631902217865, 'redshifts/outlier_fraction_cata_bin_3': 0.05719595402479172, 'redshifts/outlier_fraction_cata_bin_4': 0.059540390968322754, 'redshifts/outlier_fraction_cata_bin_5': 0.017084084451198578}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▋ | 1350/1563 [2:08:07<20:20, 5.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([84857.])\n", + "total num of pts: tensor([30685., 20613., 8613., 4848., 2873., 17225.])\n", + "{'redshifts/bias_abs': 0.07533010840415955, 'redshifts/bias_abs_bin_0': 0.14425502717494965, 'redshifts/bias_abs_bin_1': 0.08995891362428665, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.02357514202594757, 'redshifts/bias': 0.004367757122963667, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.0052315485663712025, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00015070463996380568, 'redshifts/mse': 0.3094156086444855, 'redshifts/mse_bin_0': 0.4353463351726532, 'redshifts/mse_bin_1': 0.3567506968975067, 'redshifts/mse_bin_2': 0.2936646044254303, 'redshifts/mse_bin_3': 0.21793894469738007, 'redshifts/mse_bin_4': 0.23268279433250427, 'redshifts/mse_bin_5': 0.07485263049602509, 'redshifts/nmad': 0.11142316460609436, 'redshifts/nmad_bin_0': 0.21094949543476105, 'redshifts/nmad_bin_1': 0.1328500360250473, 'redshifts/nmad_bin_2': 0.08747844398021698, 'redshifts/nmad_bin_3': 0.07042604684829712, 'redshifts/nmad_bin_4': 0.06438371539115906, 'redshifts/nmad_bin_5': 0.03497274965047836, 'redshifts/outlier_fraction': 0.3243692219257355, 'redshifts/outlier_fraction_bin_0': 0.48743686079978943, 'redshifts/outlier_fraction_bin_1': 0.3535632789134979, 'redshifts/outlier_fraction_bin_2': 0.25519564747810364, 'redshifts/outlier_fraction_bin_3': 0.19719472527503967, 'redshifts/outlier_fraction_bin_4': 0.18934911489486694, 'redshifts/outlier_fraction_bin_5': 0.09184324741363525, 'redshifts/outlier_fraction_cata': 0.08755906671285629, 'redshifts/outlier_fraction_cata_bin_0': 0.13104122877120972, 'redshifts/outlier_fraction_cata_bin_1': 0.09658952802419662, 'redshifts/outlier_fraction_cata_bin_2': 0.07836990803480148, 'redshifts/outlier_fraction_cata_bin_3': 0.05713696405291557, 'redshifts/outlier_fraction_cata_bin_4': 0.05951966717839241, 'redshifts/outlier_fraction_cata_bin_5': 0.01712626963853836}\n", + "total num of pts: tensor([84926.])\n", + "total num of pts: tensor([30715., 20631., 8619., 4850., 2876., 17235.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 86%|████████▋ | 1351/1563 [2:08:12<19:05, 5.40s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07535430788993835, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.09001720696687698, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004380732774734497, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.0052315485663712025, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0001575946807861328, 'redshifts/mse': 0.30956488847732544, 'redshifts/mse_bin_0': 0.435627818107605, 'redshifts/mse_bin_1': 0.35670554637908936, 'redshifts/mse_bin_2': 0.2941165566444397, 'redshifts/mse_bin_3': 0.2178613841533661, 'redshifts/mse_bin_4': 0.23278091847896576, 'redshifts/mse_bin_5': 0.07481692731380463, 'redshifts/nmad': 0.11145079135894775, 'redshifts/nmad_bin_0': 0.21101383864879608, 'redshifts/nmad_bin_1': 0.13286550343036652, 'redshifts/nmad_bin_2': 0.08747715502977371, 'redshifts/nmad_bin_3': 0.07044927030801773, 'redshifts/nmad_bin_4': 0.06438371539115906, 'redshifts/nmad_bin_5': 0.03496633842587471, 'redshifts/outlier_fraction': 0.3244825005531311, 'redshifts/outlier_fraction_bin_0': 0.4875142574310303, 'redshifts/outlier_fraction_bin_1': 0.353691041469574, 'redshifts/outlier_fraction_bin_2': 0.2553660571575165, 'redshifts/outlier_fraction_bin_3': 0.19711339473724365, 'redshifts/outlier_fraction_bin_4': 0.18984700739383698, 'redshifts/outlier_fraction_bin_5': 0.0918479859828949, 'redshifts/outlier_fraction_cata': 0.08760567754507065, 'redshifts/outlier_fraction_cata_bin_0': 0.13114114105701447, 'redshifts/outlier_fraction_cata_bin_1': 0.09660220146179199, 'redshifts/outlier_fraction_cata_bin_2': 0.0784313753247261, 'redshifts/outlier_fraction_cata_bin_3': 0.0571134015917778, 'redshifts/outlier_fraction_cata_bin_4': 0.059457581490278244, 'redshifts/outlier_fraction_cata_bin_5': 0.017116332426667213}\n", + "total num of pts: tensor([84996.])\n", + "total num of pts: tensor([30735., 20650., 8621., 4860., 2879., 17251.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1352/1563 [2:08:16<17:47, 5.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07534721493721008, 'redshifts/bias_abs_bin_0': 0.14425502717494965, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05901177227497101, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.004377258010208607, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00016040737682487816, 'redshifts/mse': 0.30947911739349365, 'redshifts/mse_bin_0': 0.43543142080307007, 'redshifts/mse_bin_1': 0.3568325638771057, 'redshifts/mse_bin_2': 0.29416200518608093, 'redshifts/mse_bin_3': 0.21764282882213593, 'redshifts/mse_bin_4': 0.23254720866680145, 'redshifts/mse_bin_5': 0.07475806027650833, 'redshifts/nmad': 0.11144223064184189, 'redshifts/nmad_bin_0': 0.2109682708978653, 'redshifts/nmad_bin_1': 0.13291196525096893, 'redshifts/nmad_bin_2': 0.08747715502977371, 'redshifts/nmad_bin_3': 0.07046502083539963, 'redshifts/nmad_bin_4': 0.06438371539115906, 'redshifts/nmad_bin_5': 0.03496045991778374, 'redshifts/outlier_fraction': 0.32449761033058167, 'redshifts/outlier_fraction_bin_0': 0.4874573051929474, 'redshifts/outlier_fraction_bin_1': 0.3538983166217804, 'redshifts/outlier_fraction_bin_2': 0.25542280077934265, 'redshifts/outlier_fraction_bin_3': 0.19732509553432465, 'redshifts/outlier_fraction_bin_4': 0.18964917957782745, 'redshifts/outlier_fraction_bin_5': 0.09182076156139374, 'redshifts/outlier_fraction_cata': 0.08755706250667572, 'redshifts/outlier_fraction_cata_bin_0': 0.1310558021068573, 'redshifts/outlier_fraction_cata_bin_1': 0.0966101661324501, 'redshifts/outlier_fraction_cata_bin_2': 0.07841317355632782, 'redshifts/outlier_fraction_cata_bin_3': 0.05699588358402252, 'redshifts/outlier_fraction_cata_bin_4': 0.059395622462034225, 'redshifts/outlier_fraction_cata_bin_5': 0.017100457102060318}\n", + "total num of pts: tensor([85050.])\n", + "total num of pts: tensor([30750., 20665., 8626., 4861., 2880., 17268.])\n", + "{'redshifts/bias_abs': 0.07535430788993835, 'redshifts/bias_abs_bin_0': 0.14425502717494965, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.0590035542845726, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.02356821298599243, 'redshifts/bias': 0.0043913801200687885, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00017907973960973322, 'redshifts/mse': 0.30939289927482605, 'redshifts/mse_bin_0': 0.4353333115577698, 'redshifts/mse_bin_1': 0.35682040452957153, 'redshifts/mse_bin_2': 0.29404377937316895, 'redshifts/mse_bin_3': 0.21761691570281982, 'redshifts/mse_bin_4': 0.2324986606836319, 'redshifts/mse_bin_5': 0.074692003428936, 'redshifts/nmad': 0.11144383251667023, 'redshifts/nmad_bin_0': 0.21091695129871368, 'redshifts/nmad_bin_1': 0.13289916515350342, 'redshifts/nmad_bin_2': 0.08748766034841537, 'redshifts/nmad_bin_3': 0.07049566507339478, 'redshifts/nmad_bin_4': 0.06438371539115906, 'redshifts/nmad_bin_5': 0.03496105968952179, 'redshifts/outlier_fraction': 0.3244679570198059, 'redshifts/outlier_fraction_bin_0': 0.4874471426010132, 'redshifts/outlier_fraction_bin_1': 0.35388338565826416, 'redshifts/outlier_fraction_bin_2': 0.2553906738758087, 'redshifts/outlier_fraction_bin_3': 0.1972845047712326, 'redshifts/outlier_fraction_bin_4': 0.18993055820465088, 'redshifts/outlier_fraction_bin_5': 0.09178827702999115, 'redshifts/outlier_fraction_cata': 0.08751323074102402, 'redshifts/outlier_fraction_cata_bin_0': 0.1309918761253357, 'redshifts/outlier_fraction_cata_bin_1': 0.09658843278884888, 'redshifts/outlier_fraction_cata_bin_2': 0.07836772501468658, 'redshifts/outlier_fraction_cata_bin_3': 0.05698416009545326, 'redshifts/outlier_fraction_cata_bin_4': 0.05937499925494194, 'redshifts/outlier_fraction_cata_bin_5': 0.01708362251520157}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1353/1563 [2:08:21<17:38, 5.04s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([85101.])\n", + "total num of pts: tensor([30768., 20678., 8631., 4864., 2881., 17279.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1354/1563 [2:08:27<18:14, 5.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07534721493721008, 'redshifts/bias_abs_bin_0': 0.14426742494106293, 'redshifts/bias_abs_bin_1': 0.09001720696687698, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.043774764984846115, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004380507860332727, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.0052173868753015995, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00017907973960973322, 'redshifts/mse': 0.30940189957618713, 'redshifts/mse_bin_0': 0.4353677034378052, 'redshifts/mse_bin_1': 0.35688120126724243, 'redshifts/mse_bin_2': 0.2938794493675232, 'redshifts/mse_bin_3': 0.21780557930469513, 'redshifts/mse_bin_4': 0.2324180155992508, 'redshifts/mse_bin_5': 0.0746520608663559, 'redshifts/nmad': 0.11143894493579865, 'redshifts/nmad_bin_0': 0.21090838313102722, 'redshifts/nmad_bin_1': 0.1328599452972412, 'redshifts/nmad_bin_2': 0.0875498577952385, 'redshifts/nmad_bin_3': 0.07051364332437515, 'redshifts/nmad_bin_4': 0.06436174362897873, 'redshifts/nmad_bin_5': 0.03496595472097397, 'redshifts/outlier_fraction': 0.3244732618331909, 'redshifts/outlier_fraction_bin_0': 0.48748698830604553, 'redshifts/outlier_fraction_bin_1': 0.3538059890270233, 'redshifts/outlier_fraction_bin_2': 0.25535857677459717, 'redshifts/outlier_fraction_bin_3': 0.19757401943206787, 'redshifts/outlier_fraction_bin_4': 0.1898646354675293, 'redshifts/outlier_fraction_bin_5': 0.09178771823644638, 'redshifts/outlier_fraction_cata': 0.08750778436660767, 'redshifts/outlier_fraction_cata_bin_0': 0.1309802383184433, 'redshifts/outlier_fraction_cata_bin_1': 0.09657607227563858, 'redshifts/outlier_fraction_cata_bin_2': 0.07832232862710953, 'redshifts/outlier_fraction_cata_bin_3': 0.05715460702776909, 'redshifts/outlier_fraction_cata_bin_4': 0.05935439094901085, 'redshifts/outlier_fraction_cata_bin_5': 0.01707274653017521}\n", + "total num of pts: tensor([85162.])\n", + "total num of pts: tensor([30790., 20692., 8636., 4869., 2882., 17293.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1355/1563 [2:08:31<17:19, 5.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07532338798046112, 'redshifts/bias_abs_bin_0': 0.14426742494106293, 'redshifts/bias_abs_bin_1': 0.09001720696687698, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.043709807097911835, 'redshifts/bias_abs_bin_5': 0.023558367043733597, 'redshifts/bias': 0.004389310721307993, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00017907973960973322, 'redshifts/mse': 0.30933132767677307, 'redshifts/mse_bin_0': 0.43529465794563293, 'redshifts/mse_bin_1': 0.356825053691864, 'redshifts/mse_bin_2': 0.2938970625400543, 'redshifts/mse_bin_3': 0.21758951246738434, 'redshifts/mse_bin_4': 0.23233751952648163, 'redshifts/mse_bin_5': 0.07459387928247452, 'redshifts/nmad': 0.11140977591276169, 'redshifts/nmad_bin_0': 0.21090838313102722, 'redshifts/nmad_bin_1': 0.13286550343036652, 'redshifts/nmad_bin_2': 0.08741169422864914, 'redshifts/nmad_bin_3': 0.07047286629676819, 'redshifts/nmad_bin_4': 0.0643039345741272, 'redshifts/nmad_bin_5': 0.03495538979768753, 'redshifts/outlier_fraction': 0.3244287371635437, 'redshifts/outlier_fraction_bin_0': 0.48749592900276184, 'redshifts/outlier_fraction_bin_1': 0.35375991463661194, 'redshifts/outlier_fraction_bin_2': 0.2553265392780304, 'redshifts/outlier_fraction_bin_3': 0.19737112522125244, 'redshifts/outlier_fraction_bin_4': 0.1897987574338913, 'redshifts/outlier_fraction_bin_5': 0.09171341359615326, 'redshifts/outlier_fraction_cata': 0.08749207109212875, 'redshifts/outlier_fraction_cata_bin_0': 0.13091912865638733, 'redshifts/outlier_fraction_cata_bin_1': 0.09660738706588745, 'redshifts/outlier_fraction_cata_bin_2': 0.07839277386665344, 'redshifts/outlier_fraction_cata_bin_3': 0.05709591135382652, 'redshifts/outlier_fraction_cata_bin_4': 0.05933379754424095, 'redshifts/outlier_fraction_cata_bin_5': 0.017058925703167915}\n", + "total num of pts: tensor([85227.])\n", + "total num of pts: tensor([30813., 20705., 8644., 4874., 2885., 17306.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1356/1563 [2:08:36<16:54, 4.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07532338798046112, 'redshifts/bias_abs_bin_0': 0.14426742494106293, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.043709807097911835, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004393754061311483, 'redshifts/bias_bin_0': 0.028232475742697716, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00017907973960973322, 'redshifts/mse': 0.3093312978744507, 'redshifts/mse_bin_0': 0.4353601634502411, 'redshifts/mse_bin_1': 0.35683584213256836, 'redshifts/mse_bin_2': 0.29367008805274963, 'redshifts/mse_bin_3': 0.21786129474639893, 'redshifts/mse_bin_4': 0.23211058974266052, 'redshifts/mse_bin_5': 0.0745590552687645, 'redshifts/nmad': 0.11140953004360199, 'redshifts/nmad_bin_0': 0.21091942489147186, 'redshifts/nmad_bin_1': 0.1328698843717575, 'redshifts/nmad_bin_2': 0.08734987676143646, 'redshifts/nmad_bin_3': 0.07049566507339478, 'redshifts/nmad_bin_4': 0.064362533390522, 'redshifts/nmad_bin_5': 0.03495773673057556, 'redshifts/outlier_fraction': 0.3244394361972809, 'redshifts/outlier_fraction_bin_0': 0.4874890446662903, 'redshifts/outlier_fraction_bin_1': 0.35377928614616394, 'redshifts/outlier_fraction_bin_2': 0.2552059292793274, 'redshifts/outlier_fraction_bin_3': 0.1977841556072235, 'redshifts/outlier_fraction_bin_4': 0.18960139155387878, 'redshifts/outlier_fraction_bin_5': 0.09176008403301239, 'redshifts/outlier_fraction_cata': 0.08749574422836304, 'redshifts/outlier_fraction_cata_bin_0': 0.13095122575759888, 'redshifts/outlier_fraction_cata_bin_1': 0.09659502655267715, 'redshifts/outlier_fraction_cata_bin_2': 0.0783202201128006, 'redshifts/outlier_fraction_cata_bin_3': 0.057242512702941895, 'redshifts/outlier_fraction_cata_bin_4': 0.05927209556102753, 'redshifts/outlier_fraction_cata_bin_5': 0.017046110704541206}\n", + "total num of pts: tensor([85281.])\n", + "total num of pts: tensor([30830., 20722., 8653., 4876., 2887., 17313.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1357/1563 [2:08:41<16:40, 4.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07532190531492233, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.08998866379261017, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.043709807097911835, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.0043840566650033, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00018761209503281862, 'redshifts/mse': 0.3094255328178406, 'redshifts/mse_bin_0': 0.4354225993156433, 'redshifts/mse_bin_1': 0.3570882976055145, 'redshifts/mse_bin_2': 0.2938355505466461, 'redshifts/mse_bin_3': 0.2177748680114746, 'redshifts/mse_bin_4': 0.2319544553756714, 'redshifts/mse_bin_5': 0.07452963292598724, 'redshifts/nmad': 0.11139899492263794, 'redshifts/nmad_bin_0': 0.21092258393764496, 'redshifts/nmad_bin_1': 0.13287284970283508, 'redshifts/nmad_bin_2': 0.0874176174402237, 'redshifts/nmad_bin_3': 0.07049566507339478, 'redshifts/nmad_bin_4': 0.0643838495016098, 'redshifts/nmad_bin_5': 0.0349576510488987, 'redshifts/outlier_fraction': 0.32444506883621216, 'redshifts/outlier_fraction_bin_0': 0.48751217126846313, 'redshifts/outlier_fraction_bin_1': 0.35373032093048096, 'redshifts/outlier_fraction_bin_2': 0.25540274381637573, 'redshifts/outlier_fraction_bin_3': 0.1977030336856842, 'redshifts/outlier_fraction_bin_4': 0.18947003781795502, 'redshifts/outlier_fraction_bin_5': 0.09172298014163971, 'redshifts/outlier_fraction_cata': 0.08753415197134018, 'redshifts/outlier_fraction_cata_bin_0': 0.13100875914096832, 'redshifts/outlier_fraction_cata_bin_1': 0.0966605544090271, 'redshifts/outlier_fraction_cata_bin_2': 0.07835432887077332, 'redshifts/outlier_fraction_cata_bin_3': 0.05721903219819069, 'redshifts/outlier_fraction_cata_bin_4': 0.05923103541135788, 'redshifts/outlier_fraction_cata_bin_5': 0.017039218917489052}\n", + "total num of pts: tensor([85344.])\n", + "total num of pts: tensor([30852., 20734., 8660., 4886., 2890., 17322.])\n", + "{'redshifts/bias_abs': 0.07528890669345856, 'redshifts/bias_abs_bin_0': 0.14425086975097656, 'redshifts/bias_abs_bin_1': 0.08998534828424454, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.043608587235212326, 'redshifts/bias_abs_bin_5': 0.02355615422129631, 'redshifts/bias': 0.0043913801200687885, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00019935096497647464, 'redshifts/mse': 0.30933240056037903, 'redshifts/mse_bin_0': 0.4352259933948517, 'redshifts/mse_bin_1': 0.35707294940948486, 'redshifts/mse_bin_2': 0.2936779260635376, 'redshifts/mse_bin_3': 0.21798279881477356, 'redshifts/mse_bin_4': 0.23171992599964142, 'redshifts/mse_bin_5': 0.07450027018785477, 'redshifts/nmad': 0.11135704070329666, 'redshifts/nmad_bin_0': 0.21086116135120392, 'redshifts/nmad_bin_1': 0.13285323977470398, 'redshifts/nmad_bin_2': 0.08734987676143646, 'redshifts/nmad_bin_3': 0.07047286629676819, 'redshifts/nmad_bin_4': 0.06434706598520279, 'redshifts/nmad_bin_5': 0.03494109585881233, 'redshifts/outlier_fraction': 0.32441648840904236, 'redshifts/outlier_fraction_bin_0': 0.487423837184906, 'redshifts/outlier_fraction_bin_1': 0.3537667691707611, 'redshifts/outlier_fraction_bin_2': 0.2554272413253784, 'redshifts/outlier_fraction_bin_3': 0.19770774245262146, 'redshifts/outlier_fraction_bin_4': 0.18927335739135742, 'redshifts/outlier_fraction_bin_5': 0.09173305332660675, 'redshifts/outlier_fraction_cata': 0.08749297261238098, 'redshifts/outlier_fraction_cata_bin_0': 0.1309153437614441, 'redshifts/outlier_fraction_cata_bin_1': 0.09665284305810928, 'redshifts/outlier_fraction_cata_bin_2': 0.07829099148511887, 'redshifts/outlier_fraction_cata_bin_3': 0.05730659142136574, 'redshifts/outlier_fraction_cata_bin_4': 0.059169549494981766, 'redshifts/outlier_fraction_cata_bin_5': 0.017030365765094757}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1358/1563 [2:08:48<18:27, 5.40s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([85405.])\n", + "total num of pts: tensor([30880., 20744., 8664., 4890., 2890., 17337.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1359/1563 [2:08:53<18:14, 5.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07530748844146729, 'redshifts/bias_abs_bin_0': 0.14425086975097656, 'redshifts/bias_abs_bin_1': 0.09001720696687698, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.043608587235212326, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.0043938555754721165, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005188565235584974, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.0002038313978118822, 'redshifts/mse': 0.309369295835495, 'redshifts/mse_bin_0': 0.4352625608444214, 'redshifts/mse_bin_1': 0.35712265968322754, 'redshifts/mse_bin_2': 0.2935674488544464, 'redshifts/mse_bin_3': 0.2178371250629425, 'redshifts/mse_bin_4': 0.23171992599964142, 'redshifts/mse_bin_5': 0.07465112209320068, 'redshifts/nmad': 0.11138643324375153, 'redshifts/nmad_bin_0': 0.21087823808193207, 'redshifts/nmad_bin_1': 0.13287869095802307, 'redshifts/nmad_bin_2': 0.08734987676143646, 'redshifts/nmad_bin_3': 0.0704709142446518, 'redshifts/nmad_bin_4': 0.06434706598520279, 'redshifts/nmad_bin_5': 0.03495797887444496, 'redshifts/outlier_fraction': 0.3244306445121765, 'redshifts/outlier_fraction_bin_0': 0.48740285634994507, 'redshifts/outlier_fraction_bin_1': 0.3537890613079071, 'redshifts/outlier_fraction_bin_2': 0.25542473793029785, 'redshifts/outlier_fraction_bin_3': 0.1977505087852478, 'redshifts/outlier_fraction_bin_4': 0.18927335739135742, 'redshifts/outlier_fraction_bin_5': 0.09176904708147049, 'redshifts/outlier_fraction_cata': 0.08748902380466461, 'redshifts/outlier_fraction_cata_bin_0': 0.1308937817811966, 'redshifts/outlier_fraction_cata_bin_1': 0.09665445238351822, 'redshifts/outlier_fraction_cata_bin_2': 0.07825484871864319, 'redshifts/outlier_fraction_cata_bin_3': 0.05725971236824989, 'redshifts/outlier_fraction_cata_bin_4': 0.059169549494981766, 'redshifts/outlier_fraction_cata_bin_5': 0.017073310911655426}\n", + "total num of pts: tensor([85473.])\n", + "total num of pts: tensor([30906., 20762., 8670., 4894., 2892., 17349.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1360/1563 [2:08:58<18:06, 5.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07531460374593735, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.08997008949518204, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004402605351060629, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005188565235584974, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.3093932867050171, 'redshifts/mse_bin_0': 0.4352986216545105, 'redshifts/mse_bin_1': 0.3572538495063782, 'redshifts/mse_bin_2': 0.29346638917922974, 'redshifts/mse_bin_3': 0.21772299706935883, 'redshifts/mse_bin_4': 0.23155978322029114, 'redshifts/mse_bin_5': 0.07461719214916229, 'redshifts/nmad': 0.11139941215515137, 'redshifts/nmad_bin_0': 0.21093250811100006, 'redshifts/nmad_bin_1': 0.13285596668720245, 'redshifts/nmad_bin_2': 0.08734987676143646, 'redshifts/nmad_bin_3': 0.07048977166414261, 'redshifts/nmad_bin_4': 0.06434005498886108, 'redshifts/nmad_bin_5': 0.03496561199426651, 'redshifts/outlier_fraction': 0.3244650363922119, 'redshifts/outlier_fraction_bin_0': 0.4875105023384094, 'redshifts/outlier_fraction_bin_1': 0.3536268174648285, 'redshifts/outlier_fraction_bin_2': 0.2554786503314972, 'redshifts/outlier_fraction_bin_3': 0.1979975551366806, 'redshifts/outlier_fraction_bin_4': 0.18914246559143066, 'redshifts/outlier_fraction_bin_5': 0.0918208509683609, 'redshifts/outlier_fraction_cata': 0.08748961985111237, 'redshifts/outlier_fraction_cata_bin_0': 0.13088072836399078, 'redshifts/outlier_fraction_cata_bin_1': 0.09671515226364136, 'redshifts/outlier_fraction_cata_bin_2': 0.07820069044828415, 'redshifts/outlier_fraction_cata_bin_3': 0.057212915271520615, 'redshifts/outlier_fraction_cata_bin_4': 0.05912863090634346, 'redshifts/outlier_fraction_cata_bin_5': 0.017061501741409302}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1361/1563 [2:09:04<18:24, 5.47s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([85542.])\n", + "total num of pts: tensor([30930., 20783., 8676., 4898., 2892., 17363.])\n", + "{'redshifts/bias_abs': 0.07533010840415955, 'redshifts/bias_abs_bin_0': 0.14433850347995758, 'redshifts/bias_abs_bin_1': 0.09001720696687698, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023558367043733597, 'redshifts/bias': 0.004404515027999878, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00021857023239135742, 'redshifts/mse': 0.3093204200267792, 'redshifts/mse_bin_0': 0.435249924659729, 'redshifts/mse_bin_1': 0.3571476340293884, 'redshifts/mse_bin_2': 0.29327067732810974, 'redshifts/mse_bin_3': 0.2175954133272171, 'redshifts/mse_bin_4': 0.23155978322029114, 'redshifts/mse_bin_5': 0.07458987832069397, 'redshifts/nmad': 0.11142034828662872, 'redshifts/nmad_bin_0': 0.2110588103532791, 'redshifts/nmad_bin_1': 0.13293007016181946, 'redshifts/nmad_bin_2': 0.08731881529092789, 'redshifts/nmad_bin_3': 0.07053135335445404, 'redshifts/nmad_bin_4': 0.06434005498886108, 'redshifts/nmad_bin_5': 0.034951187670230865, 'redshifts/outlier_fraction': 0.32448387145996094, 'redshifts/outlier_fraction_bin_0': 0.4875848591327667, 'redshifts/outlier_fraction_bin_1': 0.3536544144153595, 'redshifts/outlier_fraction_bin_2': 0.25530198216438293, 'redshifts/outlier_fraction_bin_3': 0.19804002344608307, 'redshifts/outlier_fraction_bin_4': 0.18914246559143066, 'redshifts/outlier_fraction_bin_5': 0.09180441498756409, 'redshifts/outlier_fraction_cata': 0.08748918771743774, 'redshifts/outlier_fraction_cata_bin_0': 0.13087616860866547, 'redshifts/outlier_fraction_cata_bin_1': 0.0967617779970169, 'redshifts/outlier_fraction_cata_bin_2': 0.07814661413431168, 'redshifts/outlier_fraction_cata_bin_3': 0.05716618895530701, 'redshifts/outlier_fraction_cata_bin_4': 0.05912863090634346, 'redshifts/outlier_fraction_cata_bin_5': 0.01704774610698223}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1362/1563 [2:09:09<17:44, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([85615.])\n", + "total num of pts: tensor([30962., 20798., 8684., 4900., 2895., 17376.])\n", + "{'redshifts/bias_abs': 0.07532190531492233, 'redshifts/bias_abs_bin_0': 0.14425502717494965, 'redshifts/bias_abs_bin_1': 0.08997008949518204, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023550275713205338, 'redshifts/bias': 0.004402677062898874, 'redshifts/bias_bin_0': 0.028232475742697716, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.309291809797287, 'redshifts/mse_bin_0': 0.4350166618824005, 'redshifts/mse_bin_1': 0.3571082055568695, 'redshifts/mse_bin_2': 0.2930700182914734, 'redshifts/mse_bin_3': 0.2175138294696808, 'redshifts/mse_bin_4': 0.23155014216899872, 'redshifts/mse_bin_5': 0.07497037947177887, 'redshifts/nmad': 0.11139950901269913, 'redshifts/nmad_bin_0': 0.2109697312116623, 'redshifts/nmad_bin_1': 0.1328597068786621, 'redshifts/nmad_bin_2': 0.08726678788661957, 'redshifts/nmad_bin_3': 0.07053135335445404, 'redshifts/nmad_bin_4': 0.06434005498886108, 'redshifts/nmad_bin_5': 0.03493108972907066, 'redshifts/outlier_fraction': 0.3244524896144867, 'redshifts/outlier_fraction_bin_0': 0.48746851086616516, 'redshifts/outlier_fraction_bin_1': 0.3535916805267334, 'redshifts/outlier_fraction_bin_2': 0.25529709458351135, 'redshifts/outlier_fraction_bin_3': 0.19795918464660645, 'redshifts/outlier_fraction_bin_4': 0.18929187953472137, 'redshifts/outlier_fraction_bin_5': 0.09185083210468292, 'redshifts/outlier_fraction_cata': 0.08746130764484406, 'redshifts/outlier_fraction_cata_bin_0': 0.13080550730228424, 'redshifts/outlier_fraction_cata_bin_1': 0.09674007445573807, 'redshifts/outlier_fraction_cata_bin_2': 0.0780746191740036, 'redshifts/outlier_fraction_cata_bin_3': 0.05714285746216774, 'redshifts/outlier_fraction_cata_bin_4': 0.05906735733151436, 'redshifts/outlier_fraction_cata_bin_5': 0.017092540860176086}\n", + "total num of pts: tensor([85677.])\n", + "total num of pts: tensor([30985., 20815., 8687., 4906., 2898., 17386.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1363/1563 [2:09:16<19:24, 5.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0753074437379837, 'redshifts/bias_abs_bin_0': 0.14425086975097656, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.02355615422129631, 'redshifts/bias': 0.004411892034113407, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005188565235584974, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00021857023239135742, 'redshifts/mse': 0.3092074692249298, 'redshifts/mse_bin_0': 0.43500062823295593, 'redshifts/mse_bin_1': 0.35690322518348694, 'redshifts/mse_bin_2': 0.29298830032348633, 'redshifts/mse_bin_3': 0.21729551255702972, 'redshifts/mse_bin_4': 0.23133642971515656, 'redshifts/mse_bin_5': 0.07493645697832108, 'redshifts/nmad': 0.11138264834880829, 'redshifts/nmad_bin_0': 0.21093250811100006, 'redshifts/nmad_bin_1': 0.13284872472286224, 'redshifts/nmad_bin_2': 0.08734060823917389, 'redshifts/nmad_bin_3': 0.07050871104001999, 'redshifts/nmad_bin_4': 0.06434005498886108, 'redshifts/nmad_bin_5': 0.03493891656398773, 'redshifts/outlier_fraction': 0.3244277834892273, 'redshifts/outlier_fraction_bin_0': 0.4874294102191925, 'redshifts/outlier_fraction_bin_1': 0.35354313254356384, 'redshifts/outlier_fraction_bin_2': 0.25532403588294983, 'redshifts/outlier_fraction_bin_3': 0.19792091846466064, 'redshifts/outlier_fraction_bin_4': 0.18909592926502228, 'redshifts/outlier_fraction_bin_5': 0.09185551851987839, 'redshifts/outlier_fraction_cata': 0.08743303269147873, 'redshifts/outlier_fraction_cata_bin_0': 0.13080522418022156, 'redshifts/outlier_fraction_cata_bin_1': 0.09666106104850769, 'redshifts/outlier_fraction_cata_bin_2': 0.07804765552282333, 'redshifts/outlier_fraction_cata_bin_3': 0.057072971016168594, 'redshifts/outlier_fraction_cata_bin_4': 0.059006210416555405, 'redshifts/outlier_fraction_cata_bin_5': 0.017082709819078445}\n", + "total num of pts: tensor([85753.])\n", + "total num of pts: tensor([31013., 20838., 8690., 4913., 2899., 17400.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1364/1563 [2:09:21<19:02, 5.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07528318464756012, 'redshifts/bias_abs_bin_0': 0.14425086975097656, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.05888697877526283, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004424875136464834, 'redshifts/bias_bin_0': 0.02834409475326538, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005188565235584974, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00022274615184869617, 'redshifts/mse': 0.30921947956085205, 'redshifts/mse_bin_0': 0.435215562582016, 'redshifts/mse_bin_1': 0.3567053973674774, 'redshifts/mse_bin_2': 0.29288750886917114, 'redshifts/mse_bin_3': 0.21701864898204803, 'redshifts/mse_bin_4': 0.2312583178281784, 'redshifts/mse_bin_5': 0.07495835423469543, 'redshifts/nmad': 0.11136338859796524, 'redshifts/nmad_bin_0': 0.21098649501800537, 'redshifts/nmad_bin_1': 0.13284480571746826, 'redshifts/nmad_bin_2': 0.08724232017993927, 'redshifts/nmad_bin_3': 0.07057367265224457, 'redshifts/nmad_bin_4': 0.06431973725557327, 'redshifts/nmad_bin_5': 0.03495852276682854, 'redshifts/outlier_fraction': 0.32440847158432007, 'redshifts/outlier_fraction_bin_0': 0.4874407649040222, 'redshifts/outlier_fraction_bin_1': 0.35348883271217346, 'redshifts/outlier_fraction_bin_2': 0.2552359104156494, 'redshifts/outlier_fraction_bin_3': 0.19784246385097504, 'redshifts/outlier_fraction_bin_4': 0.1890307068824768, 'redshifts/outlier_fraction_bin_5': 0.09183908253908157, 'redshifts/outlier_fraction_cata': 0.08746049553155899, 'redshifts/outlier_fraction_cata_bin_0': 0.13091284036636353, 'redshifts/outlier_fraction_cata_bin_1': 0.09660235792398453, 'redshifts/outlier_fraction_cata_bin_2': 0.07802071422338486, 'redshifts/outlier_fraction_cata_bin_3': 0.05699165537953377, 'redshifts/outlier_fraction_cata_bin_4': 0.05898585543036461, 'redshifts/outlier_fraction_cata_bin_5': 0.01712643727660179}\n", + "total num of pts: tensor([85835.])\n", + "total num of pts: tensor([31037., 20861., 8702., 4916., 2903., 17416.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1365/1563 [2:09:27<18:26, 5.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0752817764878273, 'redshifts/bias_abs_bin_0': 0.14425086975097656, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05888697877526283, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04355023428797722, 'redshifts/bias_abs_bin_5': 0.023558367043733597, 'redshifts/bias': 0.0044137961231172085, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005188565235584974, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.3090701997280121, 'redshifts/mse_bin_0': 0.43512260913848877, 'redshifts/mse_bin_1': 0.35651257634162903, 'redshifts/mse_bin_2': 0.2925412058830261, 'redshifts/mse_bin_3': 0.21689960360527039, 'redshifts/mse_bin_4': 0.23097698390483856, 'redshifts/mse_bin_5': 0.0748966708779335, 'redshifts/nmad': 0.11133935302495956, 'redshifts/nmad_bin_0': 0.2109895497560501, 'redshifts/nmad_bin_1': 0.13280630111694336, 'redshifts/nmad_bin_2': 0.08724232017993927, 'redshifts/nmad_bin_3': 0.07052940130233765, 'redshifts/nmad_bin_4': 0.06436531245708466, 'redshifts/nmad_bin_5': 0.03495629504323006, 'redshifts/outlier_fraction': 0.3243548572063446, 'redshifts/outlier_fraction_bin_0': 0.4874504506587982, 'redshifts/outlier_fraction_bin_1': 0.35343465209007263, 'redshifts/outlier_fraction_bin_2': 0.2552286684513092, 'redshifts/outlier_fraction_bin_3': 0.1977217197418213, 'redshifts/outlier_fraction_bin_4': 0.18877023458480835, 'redshifts/outlier_fraction_bin_5': 0.09175470471382141, 'redshifts/outlier_fraction_cata': 0.08741189539432526, 'redshifts/outlier_fraction_cata_bin_0': 0.13087604939937592, 'redshifts/outlier_fraction_cata_bin_1': 0.09654378890991211, 'redshifts/outlier_fraction_cata_bin_2': 0.07791312038898468, 'redshifts/outlier_fraction_cata_bin_3': 0.05695687606930733, 'redshifts/outlier_fraction_cata_bin_4': 0.058904580771923065, 'redshifts/outlier_fraction_cata_bin_5': 0.017110703513026237}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1366/1563 [2:09:34<20:08, 6.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([85897.])\n", + "total num of pts: tensor([31061., 20879., 8706., 4920., 2904., 17427.])\n", + "{'redshifts/bias_abs': 0.07528221607208252, 'redshifts/bias_abs_bin_0': 0.14425086975097656, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05891998112201691, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004426985047757626, 'redshifts/bias_bin_0': 0.028324060142040253, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005154377315193415, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.30906498432159424, 'redshifts/mse_bin_0': 0.43516218662261963, 'redshifts/mse_bin_1': 0.35651805996894836, 'redshifts/mse_bin_2': 0.29243004322052, 'redshifts/mse_bin_3': 0.21677392721176147, 'redshifts/mse_bin_4': 0.2308974713087082, 'redshifts/mse_bin_5': 0.07485281676054001, 'redshifts/nmad': 0.11136285960674286, 'redshifts/nmad_bin_0': 0.21083392202854156, 'redshifts/nmad_bin_1': 0.13280338048934937, 'redshifts/nmad_bin_2': 0.08725686371326447, 'redshifts/nmad_bin_3': 0.0705229863524437, 'redshifts/nmad_bin_4': 0.06422385573387146, 'redshifts/nmad_bin_5': 0.03495960310101509, 'redshifts/outlier_fraction': 0.32434195280075073, 'redshifts/outlier_fraction_bin_0': 0.4874279499053955, 'redshifts/outlier_fraction_bin_1': 0.353417307138443, 'redshifts/outlier_fraction_bin_2': 0.2552262842655182, 'redshifts/outlier_fraction_bin_3': 0.19776423275470734, 'redshifts/outlier_fraction_bin_4': 0.1887052357196808, 'redshifts/outlier_fraction_bin_5': 0.09169679135084152, 'redshifts/outlier_fraction_cata': 0.08740700781345367, 'redshifts/outlier_fraction_cata_bin_0': 0.13083931803703308, 'redshifts/outlier_fraction_cata_bin_1': 0.09660424292087555, 'redshifts/outlier_fraction_cata_bin_2': 0.07787732779979706, 'redshifts/outlier_fraction_cata_bin_3': 0.056910570710897446, 'redshifts/outlier_fraction_cata_bin_4': 0.05888429656624794, 'redshifts/outlier_fraction_cata_bin_5': 0.017099902033805847}\n", + "total num of pts: tensor([85950.])\n", + "total num of pts: tensor([31078., 20896., 8712., 4922., 2906., 17436.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 87%|████████▋ | 1367/1563 [2:09:39<19:11, 5.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0752817764878273, 'redshifts/bias_abs_bin_0': 0.14421521127223969, 'redshifts/bias_abs_bin_1': 0.08979185670614243, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004424875136464834, 'redshifts/bias_bin_0': 0.028324060142040253, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005154377315193415, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00022336999245453626, 'redshifts/mse': 0.30914461612701416, 'redshifts/mse_bin_0': 0.43529027700424194, 'redshifts/mse_bin_1': 0.35645201802253723, 'redshifts/mse_bin_2': 0.2930498719215393, 'redshifts/mse_bin_3': 0.21668681502342224, 'redshifts/mse_bin_4': 0.23073889315128326, 'redshifts/mse_bin_5': 0.07481449097394943, 'redshifts/nmad': 0.11135578155517578, 'redshifts/nmad_bin_0': 0.21097125113010406, 'redshifts/nmad_bin_1': 0.1327609121799469, 'redshifts/nmad_bin_2': 0.08737942576408386, 'redshifts/nmad_bin_3': 0.07051602005958557, 'redshifts/nmad_bin_4': 0.06418077647686005, 'redshifts/nmad_bin_5': 0.03492901101708412, 'redshifts/outlier_fraction': 0.32433971762657166, 'redshifts/outlier_fraction_bin_0': 0.4874187409877777, 'redshifts/outlier_fraction_bin_1': 0.35341691970825195, 'redshifts/outlier_fraction_bin_2': 0.255394846200943, 'redshifts/outlier_fraction_bin_3': 0.19768387079238892, 'redshifts/outlier_fraction_bin_4': 0.1885753571987152, 'redshifts/outlier_fraction_bin_5': 0.09164945781230927, 'redshifts/outlier_fraction_cata': 0.0874461904168129, 'redshifts/outlier_fraction_cata_bin_0': 0.1308964490890503, 'redshifts/outlier_fraction_cata_bin_1': 0.09662136435508728, 'redshifts/outlier_fraction_cata_bin_2': 0.07805325835943222, 'redshifts/outlier_fraction_cata_bin_3': 0.056887444108724594, 'redshifts/outlier_fraction_cata_bin_4': 0.05884377285838127, 'redshifts/outlier_fraction_cata_bin_5': 0.01709107682108879}\n", + "total num of pts: tensor([86014.])\n", + "total num of pts: tensor([31102., 20917., 8719., 4923., 2906., 17447.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1368/1563 [2:09:45<19:15, 5.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07525109499692917, 'redshifts/bias_abs_bin_0': 0.14416621625423431, 'redshifts/bias_abs_bin_1': 0.08978859335184097, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023550275713205338, 'redshifts/bias': 0.0044523924589157104, 'redshifts/bias_bin_0': 0.02834409475326538, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005154377315193415, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00022423811606131494, 'redshifts/mse': 0.30902647972106934, 'redshifts/mse_bin_0': 0.43509700894355774, 'redshifts/mse_bin_1': 0.3563235402107239, 'redshifts/mse_bin_2': 0.2928541600704193, 'redshifts/mse_bin_3': 0.21664296090602875, 'redshifts/mse_bin_4': 0.23073889315128326, 'redshifts/mse_bin_5': 0.0747697725892067, 'redshifts/nmad': 0.11133834719657898, 'redshifts/nmad_bin_0': 0.21080423891544342, 'redshifts/nmad_bin_1': 0.13277506828308105, 'redshifts/nmad_bin_2': 0.0874079093337059, 'redshifts/nmad_bin_3': 0.07051602005958557, 'redshifts/nmad_bin_4': 0.06418077647686005, 'redshifts/nmad_bin_5': 0.03493072837591171, 'redshifts/outlier_fraction': 0.3242611587047577, 'redshifts/outlier_fraction_bin_0': 0.48726770281791687, 'redshifts/outlier_fraction_bin_1': 0.3533489406108856, 'redshifts/outlier_fraction_bin_2': 0.2553045153617859, 'redshifts/outlier_fraction_bin_3': 0.1976437121629715, 'redshifts/outlier_fraction_bin_4': 0.1885753571987152, 'redshifts/outlier_fraction_bin_5': 0.09159167855978012, 'redshifts/outlier_fraction_cata': 0.08741600066423416, 'redshifts/outlier_fraction_cata_bin_0': 0.13082760572433472, 'redshifts/outlier_fraction_cata_bin_1': 0.09661997109651566, 'redshifts/outlier_fraction_cata_bin_2': 0.07799059897661209, 'redshifts/outlier_fraction_cata_bin_3': 0.056875888258218765, 'redshifts/outlier_fraction_cata_bin_4': 0.05884377285838127, 'redshifts/outlier_fraction_cata_bin_5': 0.01708029955625534}\n", + "total num of pts: tensor([86081.])\n", + "total num of pts: tensor([31128., 20935., 8724., 4927., 2911., 17456.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1369/1563 [2:09:50<18:03, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07525109499692917, 'redshifts/bias_abs_bin_0': 0.14413806796073914, 'redshifts/bias_abs_bin_1': 0.08978859335184097, 'redshifts/bias_abs_bin_2': 0.05891998112201691, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.04347492381930351, 'redshifts/bias_abs_bin_5': 0.023564914241433144, 'redshifts/bias': 0.004450082778930664, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005103702656924725, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.30904924869537354, 'redshifts/mse_bin_0': 0.43489423394203186, 'redshifts/mse_bin_1': 0.35635167360305786, 'redshifts/mse_bin_2': 0.2926989197731018, 'redshifts/mse_bin_3': 0.21791262924671173, 'redshifts/mse_bin_4': 0.23034584522247314, 'redshifts/mse_bin_5': 0.07492700964212418, 'redshifts/nmad': 0.11134177446365356, 'redshifts/nmad_bin_0': 0.2107313722372055, 'redshifts/nmad_bin_1': 0.13277041912078857, 'redshifts/nmad_bin_2': 0.08729568868875504, 'redshifts/nmad_bin_3': 0.07044785469770432, 'redshifts/nmad_bin_4': 0.0641281008720398, 'redshifts/nmad_bin_5': 0.03495967760682106, 'redshifts/outlier_fraction': 0.3242875933647156, 'redshifts/outlier_fraction_bin_0': 0.48718196153640747, 'redshifts/outlier_fraction_bin_1': 0.3534272611141205, 'redshifts/outlier_fraction_bin_2': 0.2551581859588623, 'redshifts/outlier_fraction_bin_3': 0.19768622517585754, 'redshifts/outlier_fraction_bin_4': 0.18825146555900574, 'redshifts/outlier_fraction_bin_5': 0.09183088690042496, 'redshifts/outlier_fraction_cata': 0.08739443123340607, 'redshifts/outlier_fraction_cata_bin_0': 0.13075044751167297, 'redshifts/outlier_fraction_cata_bin_1': 0.09658467024564743, 'redshifts/outlier_fraction_cata_bin_2': 0.07794589549303055, 'redshifts/outlier_fraction_cata_bin_3': 0.05703267827630043, 'redshifts/outlier_fraction_cata_bin_4': 0.0587426982820034, 'redshifts/outlier_fraction_cata_bin_5': 0.017128780484199524}\n", + "total num of pts: tensor([86146.])\n", + "total num of pts: tensor([31149., 20947., 8729., 4931., 2914., 17476.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1370/1563 [2:09:55<16:54, 5.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07525020092725754, 'redshifts/bias_abs_bin_0': 0.14413806796073914, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05888697877526283, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04347492381930351, 'redshifts/bias_abs_bin_5': 0.023558367043733597, 'redshifts/bias': 0.004446950741112232, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010392154566943645, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005154377315193415, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.3091222941875458, 'redshifts/mse_bin_0': 0.43485260009765625, 'redshifts/mse_bin_1': 0.3567594289779663, 'redshifts/mse_bin_2': 0.2931075692176819, 'redshifts/mse_bin_3': 0.2177773416042328, 'redshifts/mse_bin_4': 0.2301720380783081, 'redshifts/mse_bin_5': 0.07485903054475784, 'redshifts/nmad': 0.11134009808301926, 'redshifts/nmad_bin_0': 0.21074461936950684, 'redshifts/nmad_bin_1': 0.13280721008777618, 'redshifts/nmad_bin_2': 0.0872928649187088, 'redshifts/nmad_bin_3': 0.0705229863524437, 'redshifts/nmad_bin_4': 0.06410586088895798, 'redshifts/nmad_bin_5': 0.034956224262714386, 'redshifts/outlier_fraction': 0.3243098855018616, 'redshifts/outlier_fraction_bin_0': 0.48717454075813293, 'redshifts/outlier_fraction_bin_1': 0.3536067306995392, 'redshifts/outlier_fraction_bin_2': 0.25512659549713135, 'redshifts/outlier_fraction_bin_3': 0.19772864878177643, 'redshifts/outlier_fraction_bin_4': 0.18840081989765167, 'redshifts/outlier_fraction_bin_5': 0.0918402373790741, 'redshifts/outlier_fraction_cata': 0.08739814162254333, 'redshifts/outlier_fraction_cata_bin_0': 0.1306944042444229, 'redshifts/outlier_fraction_cata_bin_1': 0.09672029316425323, 'redshifts/outlier_fraction_cata_bin_2': 0.07801581174135208, 'redshifts/outlier_fraction_cata_bin_3': 0.05698641389608383, 'redshifts/outlier_fraction_cata_bin_4': 0.05868222191929817, 'redshifts/outlier_fraction_cata_bin_5': 0.017109178006649017}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1371/1563 [2:10:00<17:12, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([86226.])\n", + "total num of pts: tensor([31171., 20967., 8736., 4941., 2915., 17496.])\n", + "{'redshifts/bias_abs': 0.07528205215930939, 'redshifts/bias_abs_bin_0': 0.14415773749351501, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05891998112201691, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.043509047478437424, 'redshifts/bias_abs_bin_5': 0.02357514202594757, 'redshifts/bias': 0.0044523924589157104, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010412849485874176, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.0050255958922207355, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.3090830445289612, 'redshifts/mse_bin_0': 0.4348089396953583, 'redshifts/mse_bin_1': 0.35667160153388977, 'redshifts/mse_bin_2': 0.29318517446517944, 'redshifts/mse_bin_3': 0.21795527637004852, 'redshifts/mse_bin_4': 0.23009707033634186, 'redshifts/mse_bin_5': 0.07489050179719925, 'redshifts/nmad': 0.11135093122720718, 'redshifts/nmad_bin_0': 0.21074332296848297, 'redshifts/nmad_bin_1': 0.1328195333480835, 'redshifts/nmad_bin_2': 0.0874079093337059, 'redshifts/nmad_bin_3': 0.07060489058494568, 'redshifts/nmad_bin_4': 0.06415052711963654, 'redshifts/nmad_bin_5': 0.03498552739620209, 'redshifts/outlier_fraction': 0.32436850666999817, 'redshifts/outlier_fraction_bin_0': 0.4872477650642395, 'redshifts/outlier_fraction_bin_1': 0.35374635457992554, 'redshifts/outlier_fraction_bin_2': 0.2550366222858429, 'redshifts/outlier_fraction_bin_3': 0.19793564081192017, 'redshifts/outlier_fraction_bin_4': 0.18833619356155396, 'redshifts/outlier_fraction_bin_5': 0.09196387976408005, 'redshifts/outlier_fraction_cata': 0.08738663792610168, 'redshifts/outlier_fraction_cata_bin_0': 0.13069841265678406, 'redshifts/outlier_fraction_cata_bin_1': 0.09667573124170303, 'redshifts/outlier_fraction_cata_bin_2': 0.07806776463985443, 'redshifts/outlier_fraction_cata_bin_3': 0.05707346647977829, 'redshifts/outlier_fraction_cata_bin_4': 0.05866209417581558, 'redshifts/outlier_fraction_cata_bin_5': 0.017089620232582092}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1372/1563 [2:10:05<16:37, 5.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([86283.])\n", + "total num of pts: tensor([31193., 20979., 8740., 4944., 2918., 17509.])\n", + "{'redshifts/bias_abs': 0.075294628739357, 'redshifts/bias_abs_bin_0': 0.14416621625423431, 'redshifts/bias_abs_bin_1': 0.08987556397914886, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.043509047478437424, 'redshifts/bias_abs_bin_5': 0.023580757901072502, 'redshifts/bias': 0.004472214262932539, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005103702656924725, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00022423811606131494, 'redshifts/mse': 0.3091653883457184, 'redshifts/mse_bin_0': 0.4349338114261627, 'redshifts/mse_bin_1': 0.35661742091178894, 'redshifts/mse_bin_2': 0.29371586441993713, 'redshifts/mse_bin_3': 0.2181994765996933, 'redshifts/mse_bin_4': 0.2299378216266632, 'redshifts/mse_bin_5': 0.07484733313322067, 'redshifts/nmad': 0.1113954558968544, 'redshifts/nmad_bin_0': 0.21075990796089172, 'redshifts/nmad_bin_1': 0.13287527859210968, 'redshifts/nmad_bin_2': 0.08743762969970703, 'redshifts/nmad_bin_3': 0.07061558961868286, 'redshifts/nmad_bin_4': 0.06415052711963654, 'redshifts/nmad_bin_5': 0.03501040115952492, 'redshifts/outlier_fraction': 0.32440921664237976, 'redshifts/outlier_fraction_bin_0': 0.48728880286216736, 'redshifts/outlier_fraction_bin_1': 0.3538776934146881, 'redshifts/outlier_fraction_bin_2': 0.2551487386226654, 'redshifts/outlier_fraction_bin_3': 0.19801780581474304, 'redshifts/outlier_fraction_bin_4': 0.1881425678730011, 'redshifts/outlier_fraction_bin_5': 0.09189559519290924, 'redshifts/outlier_fraction_cata': 0.08742162585258484, 'redshifts/outlier_fraction_cata_bin_0': 0.13073445856571198, 'redshifts/outlier_fraction_cata_bin_1': 0.09666809439659119, 'redshifts/outlier_fraction_cata_bin_2': 0.0782608687877655, 'redshifts/outlier_fraction_cata_bin_3': 0.05724110081791878, 'redshifts/outlier_fraction_cata_bin_4': 0.058601781725883484, 'redshifts/outlier_fraction_cata_bin_5': 0.01707693189382553}\n", + "total num of pts: tensor([86348.])\n", + "total num of pts: tensor([31213., 20992., 8749., 4949., 2919., 17526.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1373/1563 [2:10:11<17:20, 5.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07525433599948883, 'redshifts/bias_abs_bin_0': 0.14415773749351501, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004474514164030552, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.30911993980407715, 'redshifts/mse_bin_0': 0.43490856885910034, 'redshifts/mse_bin_1': 0.35654687881469727, 'redshifts/mse_bin_2': 0.2939643859863281, 'redshifts/mse_bin_3': 0.21800176799297333, 'redshifts/mse_bin_4': 0.2299044132232666, 'redshifts/mse_bin_5': 0.07477723062038422, 'redshifts/nmad': 0.11132978647947311, 'redshifts/nmad_bin_0': 0.210768923163414, 'redshifts/nmad_bin_1': 0.13286176323890686, 'redshifts/nmad_bin_2': 0.08743765950202942, 'redshifts/nmad_bin_3': 0.07069680839776993, 'redshifts/nmad_bin_4': 0.06417202949523926, 'redshifts/nmad_bin_5': 0.03499011695384979, 'redshifts/outlier_fraction': 0.32433873414993286, 'redshifts/outlier_fraction_bin_0': 0.48723289370536804, 'redshifts/outlier_fraction_bin_1': 0.35389673709869385, 'redshifts/outlier_fraction_bin_2': 0.2550005614757538, 'redshifts/outlier_fraction_bin_3': 0.19781774282455444, 'redshifts/outlier_fraction_bin_4': 0.18842069804668427, 'redshifts/outlier_fraction_bin_5': 0.09180645644664764, 'redshifts/outlier_fraction_cata': 0.08739055693149567, 'redshifts/outlier_fraction_cata_bin_0': 0.13068272173404694, 'redshifts/outlier_fraction_cata_bin_1': 0.09665586799383163, 'redshifts/outlier_fraction_cata_bin_2': 0.07829466462135315, 'redshifts/outlier_fraction_cata_bin_3': 0.057183269411325455, 'redshifts/outlier_fraction_cata_bin_4': 0.05858170613646507, 'redshifts/outlier_fraction_cata_bin_5': 0.01706036739051342}\n", + "total num of pts: tensor([86428.])\n", + "total num of pts: tensor([31242., 21011., 8757., 4952., 2919., 17547.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1374/1563 [2:10:17<17:43, 5.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0752817764878273, 'redshifts/bias_abs_bin_0': 0.1441771686077118, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023580757901072502, 'redshifts/bias': 0.004475229419767857, 'redshifts/bias_bin_0': 0.028324060142040253, 'redshifts/bias_bin_1': 0.010392154566943645, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00022534903837367892, 'redshifts/mse': 0.30915388464927673, 'redshifts/mse_bin_0': 0.43487101793289185, 'redshifts/mse_bin_1': 0.3563304543495178, 'redshifts/mse_bin_2': 0.29437318444252014, 'redshifts/mse_bin_3': 0.21850630640983582, 'redshifts/mse_bin_4': 0.2299044132232666, 'redshifts/mse_bin_5': 0.0749678835272789, 'redshifts/nmad': 0.11134395748376846, 'redshifts/nmad_bin_0': 0.21078723669052124, 'redshifts/nmad_bin_1': 0.13281363248825073, 'redshifts/nmad_bin_2': 0.08749296516180038, 'redshifts/nmad_bin_3': 0.07069680839776993, 'redshifts/nmad_bin_4': 0.06417202949523926, 'redshifts/nmad_bin_5': 0.035008754581213, 'redshifts/outlier_fraction': 0.3243856132030487, 'redshifts/outlier_fraction_bin_0': 0.48726072907447815, 'redshifts/outlier_fraction_bin_1': 0.35390985012054443, 'redshifts/outlier_fraction_bin_2': 0.25499600172042847, 'redshifts/outlier_fraction_bin_3': 0.19810177385807037, 'redshifts/outlier_fraction_bin_4': 0.18842069804668427, 'redshifts/outlier_fraction_bin_5': 0.09192454814910889, 'redshifts/outlier_fraction_cata': 0.08739066123962402, 'redshifts/outlier_fraction_cata_bin_0': 0.13065744936466217, 'redshifts/outlier_fraction_cata_bin_1': 0.09656846523284912, 'redshifts/outlier_fraction_cata_bin_2': 0.07833732664585114, 'redshifts/outlier_fraction_cata_bin_3': 0.05735056474804878, 'redshifts/outlier_fraction_cata_bin_4': 0.05858170613646507, 'redshifts/outlier_fraction_cata_bin_5': 0.01715392991900444}\n", + "total num of pts: tensor([86500.])\n", + "total num of pts: tensor([31268., 21027., 8759., 4960., 2923., 17563.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1375/1563 [2:10:23<17:33, 5.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07529301941394806, 'redshifts/bias_abs_bin_0': 0.14421521127223969, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023587072268128395, 'redshifts/bias': 0.004475842695683241, 'redshifts/bias_bin_0': 0.028324060142040253, 'redshifts/bias_bin_1': 0.010441378690302372, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.00023587510804645717, 'redshifts/mse': 0.3093269169330597, 'redshifts/mse_bin_0': 0.4350431263446808, 'redshifts/mse_bin_1': 0.35665398836135864, 'redshifts/mse_bin_2': 0.29435664415359497, 'redshifts/mse_bin_3': 0.21891924738883972, 'redshifts/mse_bin_4': 0.2299359291791916, 'redshifts/mse_bin_5': 0.07505815476179123, 'redshifts/nmad': 0.11136872321367264, 'redshifts/nmad_bin_0': 0.21097682416439056, 'redshifts/nmad_bin_1': 0.1327984631061554, 'redshifts/nmad_bin_2': 0.08750826865434647, 'redshifts/nmad_bin_3': 0.07069680839776993, 'redshifts/nmad_bin_4': 0.06426852196455002, 'redshifts/nmad_bin_5': 0.0350235290825367, 'redshifts/outlier_fraction': 0.3244739770889282, 'redshifts/outlier_fraction_bin_0': 0.48739925026893616, 'redshifts/outlier_fraction_bin_1': 0.3539259135723114, 'redshifts/outlier_fraction_bin_2': 0.25505194067955017, 'redshifts/outlier_fraction_bin_3': 0.1981854885816574, 'redshifts/outlier_fraction_bin_4': 0.18850496411323547, 'redshifts/outlier_fraction_bin_5': 0.09206855297088623, 'redshifts/outlier_fraction_cata': 0.08745665103197098, 'redshifts/outlier_fraction_cata_bin_0': 0.130708709359169, 'redshifts/outlier_fraction_cata_bin_1': 0.09673277288675308, 'redshifts/outlier_fraction_cata_bin_2': 0.07831944525241852, 'redshifts/outlier_fraction_cata_bin_3': 0.05745967850089073, 'redshifts/outlier_fraction_cata_bin_4': 0.05850153788924217, 'redshifts/outlier_fraction_cata_bin_5': 0.017195239663124084}\n", + "total num of pts: tensor([86559.])\n", + "total num of pts: tensor([31292., 21045., 8763., 4962., 2925., 17572.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1376/1563 [2:10:28<17:21, 5.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0752960741519928, 'redshifts/bias_abs_bin_0': 0.14418962597846985, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04353860020637512, 'redshifts/bias_abs_bin_5': 0.023587072268128395, 'redshifts/bias': 0.004475229419767857, 'redshifts/bias_bin_0': 0.028324060142040253, 'redshifts/bias_bin_1': 0.010441378690302372, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005103702656924725, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00022534903837367892, 'redshifts/mse': 0.30934494733810425, 'redshifts/mse_bin_0': 0.4349674880504608, 'redshifts/mse_bin_1': 0.3566204905509949, 'redshifts/mse_bin_2': 0.29423975944519043, 'redshifts/mse_bin_3': 0.21885600686073303, 'redshifts/mse_bin_4': 0.22978241741657257, 'redshifts/mse_bin_5': 0.07534591853618622, 'redshifts/nmad': 0.11137785017490387, 'redshifts/nmad_bin_0': 0.21081218123435974, 'redshifts/nmad_bin_1': 0.13277724385261536, 'redshifts/nmad_bin_2': 0.08750826865434647, 'redshifts/nmad_bin_3': 0.07072069495916367, 'redshifts/nmad_bin_4': 0.06422385573387146, 'redshifts/nmad_bin_5': 0.03501664102077484, 'redshifts/outlier_fraction': 0.3244723379611969, 'redshifts/outlier_fraction_bin_0': 0.48731306195259094, 'redshifts/outlier_fraction_bin_1': 0.3538607656955719, 'redshifts/outlier_fraction_bin_2': 0.2550496459007263, 'redshifts/outlier_fraction_bin_3': 0.19830714166164398, 'redshifts/outlier_fraction_bin_4': 0.1883760690689087, 'redshifts/outlier_fraction_bin_5': 0.09219212085008621, 'redshifts/outlier_fraction_cata': 0.08746635168790817, 'redshifts/outlier_fraction_cata_bin_0': 0.13070432841777802, 'redshifts/outlier_fraction_cata_bin_1': 0.0967450737953186, 'redshifts/outlier_fraction_cata_bin_2': 0.07828368991613388, 'redshifts/outlier_fraction_cata_bin_3': 0.057436518371105194, 'redshifts/outlier_fraction_cata_bin_4': 0.05846153944730759, 'redshifts/outlier_fraction_cata_bin_5': 0.017243342474102974}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1377/1563 [2:10:34<17:03, 5.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([86636.])\n", + "total num of pts: tensor([31324., 21060., 8767., 4965., 2930., 17590.])\n", + "{'redshifts/bias_abs': 0.07529301941394806, 'redshifts/bias_abs_bin_0': 0.1441771686077118, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04352520406246185, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004476607311517, 'redshifts/bias_bin_0': 0.02831745706498623, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.0050255958922207355, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.0002425141865387559, 'redshifts/mse': 0.3092852830886841, 'redshifts/mse_bin_0': 0.43478822708129883, 'redshifts/mse_bin_1': 0.35659059882164, 'redshifts/mse_bin_2': 0.2946825623512268, 'redshifts/mse_bin_3': 0.2187585085630417, 'redshifts/mse_bin_4': 0.22951175272464752, 'redshifts/mse_bin_5': 0.07527125626802444, 'redshifts/nmad': 0.11134965717792511, 'redshifts/nmad_bin_0': 0.21079343557357788, 'redshifts/nmad_bin_1': 0.13279470801353455, 'redshifts/nmad_bin_2': 0.08751532435417175, 'redshifts/nmad_bin_3': 0.07070695608854294, 'redshifts/nmad_bin_4': 0.06431271135807037, 'redshifts/nmad_bin_5': 0.035022810101509094, 'redshifts/outlier_fraction': 0.3244378864765167, 'redshifts/outlier_fraction_bin_0': 0.48726215958595276, 'redshifts/outlier_fraction_bin_1': 0.35384616255760193, 'redshifts/outlier_fraction_bin_2': 0.2551614046096802, 'redshifts/outlier_fraction_bin_3': 0.19818730652332306, 'redshifts/outlier_fraction_bin_4': 0.1883959025144577, 'redshifts/outlier_fraction_bin_5': 0.09209778159856796, 'redshifts/outlier_fraction_cata': 0.08744632452726364, 'redshifts/outlier_fraction_cata_bin_0': 0.130666583776474, 'redshifts/outlier_fraction_cata_bin_1': 0.09672364592552185, 'redshifts/outlier_fraction_cata_bin_2': 0.07836204022169113, 'redshifts/outlier_fraction_cata_bin_3': 0.05740181356668472, 'redshifts/outlier_fraction_cata_bin_4': 0.05836177617311478, 'redshifts/outlier_fraction_cata_bin_5': 0.01722569577395916}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1378/1563 [2:10:39<17:05, 5.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([86712.])\n", + "total num of pts: tensor([31353., 21080., 8777., 4968., 2933., 17601.])\n", + "{'redshifts/bias_abs': 0.07528318464756012, 'redshifts/bias_abs_bin_0': 0.14425086975097656, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.043509047478437424, 'redshifts/bias_abs_bin_5': 0.023594792932271957, 'redshifts/bias': 0.004486439283937216, 'redshifts/bias_bin_0': 0.02831745706498623, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.0050255958922207355, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0002479220274835825, 'redshifts/mse': 0.30926814675331116, 'redshifts/mse_bin_0': 0.43493205308914185, 'redshifts/mse_bin_1': 0.35633280873298645, 'redshifts/mse_bin_2': 0.29469677805900574, 'redshifts/mse_bin_3': 0.21863247454166412, 'redshifts/mse_bin_4': 0.22927868366241455, 'redshifts/mse_bin_5': 0.07522960752248764, 'redshifts/nmad': 0.11134747415781021, 'redshifts/nmad_bin_0': 0.21084372699260712, 'redshifts/nmad_bin_1': 0.13276797533035278, 'redshifts/nmad_bin_2': 0.0874859094619751, 'redshifts/nmad_bin_3': 0.07068551331758499, 'redshifts/nmad_bin_4': 0.06417202949523926, 'redshifts/nmad_bin_5': 0.035030826926231384, 'redshifts/outlier_fraction': 0.3244418203830719, 'redshifts/outlier_fraction_bin_0': 0.4873855710029602, 'redshifts/outlier_fraction_bin_1': 0.3537476360797882, 'redshifts/outlier_fraction_bin_2': 0.2550985515117645, 'redshifts/outlier_fraction_bin_3': 0.19806763529777527, 'redshifts/outlier_fraction_bin_4': 0.18820320069789886, 'redshifts/outlier_fraction_bin_5': 0.09204022586345673, 'redshifts/outlier_fraction_cata': 0.08743888139724731, 'redshifts/outlier_fraction_cata_bin_0': 0.13070519268512726, 'redshifts/outlier_fraction_cata_bin_1': 0.09663187712430954, 'redshifts/outlier_fraction_cata_bin_2': 0.07838669419288635, 'redshifts/outlier_fraction_cata_bin_3': 0.057367149740457535, 'redshifts/outlier_fraction_cata_bin_4': 0.058302078396081924, 'redshifts/outlier_fraction_cata_bin_5': 0.017214931547641754}\n", + "total num of pts: tensor([86773.])\n", + "total num of pts: tensor([31377., 21091., 8784., 4972., 2938., 17611.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1379/1563 [2:10:47<18:49, 6.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07528205215930939, 'redshifts/bias_abs_bin_0': 0.14425502717494965, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.004486439283937216, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005023621954023838, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00025641906540840864, 'redshifts/mse': 0.3092558681964874, 'redshifts/mse_bin_0': 0.4348757863044739, 'redshifts/mse_bin_1': 0.35655733942985535, 'redshifts/mse_bin_2': 0.29450657963752747, 'redshifts/mse_bin_3': 0.21845893561840057, 'redshifts/mse_bin_4': 0.2288941740989685, 'redshifts/mse_bin_5': 0.07518985867500305, 'redshifts/nmad': 0.11134061217308044, 'redshifts/nmad_bin_0': 0.21080192923545837, 'redshifts/nmad_bin_1': 0.1328199803829193, 'redshifts/nmad_bin_2': 0.0874859094619751, 'redshifts/nmad_bin_3': 0.07063143700361252, 'redshifts/nmad_bin_4': 0.0641281008720398, 'redshifts/nmad_bin_5': 0.035035669803619385, 'redshifts/outlier_fraction': 0.32443270087242126, 'redshifts/outlier_fraction_bin_0': 0.48742708563804626, 'redshifts/outlier_fraction_bin_1': 0.3537527918815613, 'redshifts/outlier_fraction_bin_2': 0.25512295961380005, 'redshifts/outlier_fraction_bin_3': 0.19790828227996826, 'redshifts/outlier_fraction_bin_4': 0.1878829151391983, 'redshifts/outlier_fraction_bin_5': 0.0919879600405693, 'redshifts/outlier_fraction_cata': 0.08744655549526215, 'redshifts/outlier_fraction_cata_bin_0': 0.1307327002286911, 'redshifts/outlier_fraction_cata_bin_1': 0.096676304936409, 'redshifts/outlier_fraction_cata_bin_2': 0.07832422852516174, 'redshifts/outlier_fraction_cata_bin_3': 0.05732099711894989, 'redshifts/outlier_fraction_cata_bin_4': 0.05820285901427269, 'redshifts/outlier_fraction_cata_bin_5': 0.01720515638589859}\n", + "total num of pts: tensor([86843.])\n", + "total num of pts: tensor([31403., 21111., 8788., 4975., 2940., 17626.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1380/1563 [2:10:52<17:55, 5.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07528221607208252, 'redshifts/bias_abs_bin_0': 0.14426742494106293, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023615658283233643, 'redshifts/bias': 0.004486439283937216, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.002239552326500416, 'redshifts/bias_bin_3': -0.005023621954023838, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.30929747223854065, 'redshifts/mse_bin_0': 0.434822678565979, 'redshifts/mse_bin_1': 0.3568814694881439, 'redshifts/mse_bin_2': 0.2944800853729248, 'redshifts/mse_bin_3': 0.21841104328632355, 'redshifts/mse_bin_4': 0.2287416160106659, 'redshifts/mse_bin_5': 0.07514191418886185, 'redshifts/nmad': 0.11135300993919373, 'redshifts/nmad_bin_0': 0.21086125075817108, 'redshifts/nmad_bin_1': 0.13279524445533752, 'redshifts/nmad_bin_2': 0.0874859094619751, 'redshifts/nmad_bin_3': 0.07068844139575958, 'redshifts/nmad_bin_4': 0.06407178193330765, 'redshifts/nmad_bin_5': 0.03504008799791336, 'redshifts/outlier_fraction': 0.3244590759277344, 'redshifts/outlier_fraction_bin_0': 0.48743751645088196, 'redshifts/outlier_fraction_bin_1': 0.3537966012954712, 'redshifts/outlier_fraction_bin_2': 0.2551206052303314, 'redshifts/outlier_fraction_bin_3': 0.19798995554447174, 'redshifts/outlier_fraction_bin_4': 0.18775510787963867, 'redshifts/outlier_fraction_bin_5': 0.09202314913272858, 'redshifts/outlier_fraction_cata': 0.08745667338371277, 'redshifts/outlier_fraction_cata_bin_0': 0.13071998953819275, 'redshifts/outlier_fraction_cata_bin_1': 0.09677419066429138, 'redshifts/outlier_fraction_cata_bin_2': 0.07828857749700546, 'redshifts/outlier_fraction_cata_bin_3': 0.05728643387556076, 'redshifts/outlier_fraction_cata_bin_4': 0.05816326662898064, 'redshifts/outlier_fraction_cata_bin_5': 0.017190514132380486}\n", + "total num of pts: tensor([86918.])\n", + "total num of pts: tensor([31428., 21133., 8797., 4979., 2942., 17639.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1381/1563 [2:10:57<17:18, 5.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07525433599948883, 'redshifts/bias_abs_bin_0': 0.1443038433790207, 'redshifts/bias_abs_bin_1': 0.08979185670614243, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02362706884741783, 'redshifts/bias': 0.004496110137552023, 'redshifts/bias_bin_0': 0.02831745706498623, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.0050255958922207355, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.0002577905834186822, 'redshifts/mse': 0.30930936336517334, 'redshifts/mse_bin_0': 0.4349503219127655, 'redshifts/mse_bin_1': 0.3569137752056122, 'redshifts/mse_bin_2': 0.2942010760307312, 'redshifts/mse_bin_3': 0.21834534406661987, 'redshifts/mse_bin_4': 0.2285882532596588, 'redshifts/mse_bin_5': 0.07509021461009979, 'redshifts/nmad': 0.11133838444948196, 'redshifts/nmad_bin_0': 0.21096700429916382, 'redshifts/nmad_bin_1': 0.1327918916940689, 'redshifts/nmad_bin_2': 0.08745165169239044, 'redshifts/nmad_bin_3': 0.07070695608854294, 'redshifts/nmad_bin_4': 0.06402711570262909, 'redshifts/nmad_bin_5': 0.03504545986652374, 'redshifts/outlier_fraction': 0.3244437277317047, 'redshifts/outlier_fraction_bin_0': 0.4875270426273346, 'redshifts/outlier_fraction_bin_1': 0.3537595272064209, 'redshifts/outlier_fraction_bin_2': 0.25485959649086, 'redshifts/outlier_fraction_bin_3': 0.1980317384004593, 'redshifts/outlier_fraction_bin_4': 0.18762746453285217, 'redshifts/outlier_fraction_bin_5': 0.09195532649755478, 'redshifts/outlier_fraction_cata': 0.08748475462198257, 'redshifts/outlier_fraction_cata_bin_0': 0.13080692291259766, 'redshifts/outlier_fraction_cata_bin_1': 0.09681540727615356, 'redshifts/outlier_fraction_cata_bin_2': 0.07820848375558853, 'redshifts/outlier_fraction_cata_bin_3': 0.057240407913923264, 'redshifts/outlier_fraction_cata_bin_4': 0.05812372639775276, 'redshifts/outlier_fraction_cata_bin_5': 0.017177844420075417}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1382/1563 [2:11:03<17:16, 5.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([86982.])\n", + "total num of pts: tensor([31449., 21154., 8803., 4983., 2947., 17646.])\n", + "{'redshifts/bias_abs': 0.07528221607208252, 'redshifts/bias_abs_bin_0': 0.14426742494106293, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004497987683862448, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.0050255958922207355, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00026858950150199234, 'redshifts/mse': 0.3093297779560089, 'redshifts/mse_bin_0': 0.43485844135284424, 'redshifts/mse_bin_1': 0.35722580552101135, 'redshifts/mse_bin_2': 0.2940923571586609, 'redshifts/mse_bin_3': 0.21818989515304565, 'redshifts/mse_bin_4': 0.22821442782878876, 'redshifts/mse_bin_5': 0.07507669180631638, 'redshifts/nmad': 0.11136402189731598, 'redshifts/nmad_bin_0': 0.21093420684337616, 'redshifts/nmad_bin_1': 0.132810577750206, 'redshifts/nmad_bin_2': 0.08745165169239044, 'redshifts/nmad_bin_3': 0.07068551331758499, 'redshifts/nmad_bin_4': 0.06396592408418655, 'redshifts/nmad_bin_5': 0.035070814192295074, 'redshifts/outlier_fraction': 0.32443493604660034, 'redshifts/outlier_fraction_bin_0': 0.4874558746814728, 'redshifts/outlier_fraction_bin_1': 0.35378652811050415, 'redshifts/outlier_fraction_bin_2': 0.2547995150089264, 'redshifts/outlier_fraction_bin_3': 0.19807344675064087, 'redshifts/outlier_fraction_bin_4': 0.1876484602689743, 'redshifts/outlier_fraction_bin_5': 0.09197551757097244, 'redshifts/outlier_fraction_cata': 0.08751235902309418, 'redshifts/outlier_fraction_cata_bin_0': 0.13081496953964233, 'redshifts/outlier_fraction_cata_bin_1': 0.09695565700531006, 'redshifts/outlier_fraction_cata_bin_2': 0.07815517485141754, 'redshifts/outlier_fraction_cata_bin_3': 0.057194460183382034, 'redshifts/outlier_fraction_cata_bin_4': 0.05802511051297188, 'redshifts/outlier_fraction_cata_bin_5': 0.01717103086411953}\n", + "total num of pts: tensor([87049.])\n", + "total num of pts: tensor([31477., 21169., 8811., 4985., 2949., 17658.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 88%|████████▊ | 1383/1563 [2:11:09<17:02, 5.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07528890669345856, 'redshifts/bias_abs_bin_0': 0.14425502717494965, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004502905532717705, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0002751648426055908, 'redshifts/mse': 0.3092370927333832, 'redshifts/mse_bin_0': 0.43474119901657104, 'redshifts/mse_bin_1': 0.35708996653556824, 'redshifts/mse_bin_2': 0.2939869463443756, 'redshifts/mse_bin_3': 0.2181253433227539, 'redshifts/mse_bin_4': 0.2280847132205963, 'redshifts/mse_bin_5': 0.07503008097410202, 'redshifts/nmad': 0.11137199401855469, 'redshifts/nmad_bin_0': 0.21094949543476105, 'redshifts/nmad_bin_1': 0.132810577750206, 'redshifts/nmad_bin_2': 0.08742989599704742, 'redshifts/nmad_bin_3': 0.07069680839776993, 'redshifts/nmad_bin_4': 0.06402449309825897, 'redshifts/nmad_bin_5': 0.035065606236457825, 'redshifts/outlier_fraction': 0.3244034945964813, 'redshifts/outlier_fraction_bin_0': 0.4874352812767029, 'redshifts/outlier_fraction_bin_1': 0.35363030433654785, 'redshifts/outlier_fraction_bin_2': 0.25490865111351013, 'redshifts/outlier_fraction_bin_3': 0.19819457828998566, 'redshifts/outlier_fraction_bin_4': 0.18752118945121765, 'redshifts/outlier_fraction_bin_5': 0.09191301465034485, 'redshifts/outlier_fraction_cata': 0.08749095350503922, 'redshifts/outlier_fraction_cata_bin_0': 0.13079391419887543, 'redshifts/outlier_fraction_cata_bin_1': 0.09693419933319092, 'redshifts/outlier_fraction_cata_bin_2': 0.07808421552181244, 'redshifts/outlier_fraction_cata_bin_3': 0.05717151612043381, 'redshifts/outlier_fraction_cata_bin_4': 0.057985756546258926, 'redshifts/outlier_fraction_cata_bin_5': 0.017159361392259598}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▊ | 1384/1563 [2:11:14<16:45, 5.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([87124.])\n", + "total num of pts: tensor([31494., 21196., 8819., 4988., 2953., 17674.])\n", + "{'redshifts/bias_abs': 0.07527799904346466, 'redshifts/bias_abs_bin_0': 0.14425086975097656, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02365754544734955, 'redshifts/bias': 0.004502905532717705, 'redshifts/bias_bin_0': 0.02829381637275219, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00027111172676086426, 'redshifts/mse': 0.309246301651001, 'redshifts/mse_bin_0': 0.43470674753189087, 'redshifts/mse_bin_1': 0.357127845287323, 'redshifts/mse_bin_2': 0.29439985752105713, 'redshifts/mse_bin_3': 0.218004047870636, 'redshifts/mse_bin_4': 0.2277785688638687, 'redshifts/mse_bin_5': 0.07502976804971695, 'redshifts/nmad': 0.11135363578796387, 'redshifts/nmad_bin_0': 0.21087877452373505, 'redshifts/nmad_bin_1': 0.1328272819519043, 'redshifts/nmad_bin_2': 0.08742161095142365, 'redshifts/nmad_bin_3': 0.07063305377960205, 'redshifts/nmad_bin_4': 0.06396592408418655, 'redshifts/nmad_bin_5': 0.0350680910050869, 'redshifts/outlier_fraction': 0.3243997097015381, 'redshifts/outlier_fraction_bin_0': 0.48742616176605225, 'redshifts/outlier_fraction_bin_1': 0.3537459969520569, 'redshifts/outlier_fraction_bin_2': 0.254904180765152, 'redshifts/outlier_fraction_bin_3': 0.19807538390159607, 'redshifts/outlier_fraction_bin_4': 0.18726718425750732, 'redshifts/outlier_fraction_bin_5': 0.09194296598434448, 'redshifts/outlier_fraction_cata': 0.08748450130224228, 'redshifts/outlier_fraction_cata_bin_0': 0.13078682124614716, 'redshifts/outlier_fraction_cata_bin_1': 0.09695225208997726, 'redshifts/outlier_fraction_cata_bin_2': 0.07812677323818207, 'redshifts/outlier_fraction_cata_bin_3': 0.057137127965688705, 'redshifts/outlier_fraction_cata_bin_4': 0.057907212525606155, 'redshifts/outlier_fraction_cata_bin_5': 0.01714382693171501}\n", + "total num of pts: tensor([87191.])\n", + "total num of pts: tensor([31515., 21215., 8824., 4991., 2953., 17693.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▊ | 1385/1563 [2:11:19<16:26, 5.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07524900883436203, 'redshifts/bias_abs_bin_0': 0.14429205656051636, 'redshifts/bias_abs_bin_1': 0.08987556397914886, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004511718172580004, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.0050255958922207355, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.30925408005714417, 'redshifts/mse_bin_0': 0.4347659945487976, 'redshifts/mse_bin_1': 0.35724276304244995, 'redshifts/mse_bin_2': 0.2942388653755188, 'redshifts/mse_bin_3': 0.21787723898887634, 'redshifts/mse_bin_4': 0.2277785688638687, 'redshifts/mse_bin_5': 0.0750117227435112, 'redshifts/nmad': 0.11134365946054459, 'redshifts/nmad_bin_0': 0.2109682708978653, 'redshifts/nmad_bin_1': 0.1328672170639038, 'redshifts/nmad_bin_2': 0.08742031455039978, 'redshifts/nmad_bin_3': 0.07063436508178711, 'redshifts/nmad_bin_4': 0.06396592408418655, 'redshifts/nmad_bin_5': 0.03505878895521164, 'redshifts/outlier_fraction': 0.3244142234325409, 'redshifts/outlier_fraction_bin_0': 0.48751387000083923, 'redshifts/outlier_fraction_bin_1': 0.35385340452194214, 'redshifts/outlier_fraction_bin_2': 0.2547597587108612, 'redshifts/outlier_fraction_bin_3': 0.19795632362365723, 'redshifts/outlier_fraction_bin_4': 0.18726718425750732, 'redshifts/outlier_fraction_bin_5': 0.09190075099468231, 'redshifts/outlier_fraction_cata': 0.08748609572649002, 'redshifts/outlier_fraction_cata_bin_0': 0.13079485297203064, 'redshifts/outlier_fraction_cata_bin_1': 0.09695969521999359, 'redshifts/outlier_fraction_cata_bin_2': 0.07808250188827515, 'redshifts/outlier_fraction_cata_bin_3': 0.057102784514427185, 'redshifts/outlier_fraction_cata_bin_4': 0.057907212525606155, 'redshifts/outlier_fraction_cata_bin_5': 0.017181936651468277}\n", + "total num of pts: tensor([87257.])\n", + "total num of pts: tensor([31537., 21231., 8829., 4996., 2956., 17708.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▊ | 1386/1563 [2:11:26<17:15, 5.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07522749155759811, 'redshifts/bias_abs_bin_0': 0.1443115770816803, 'redshifts/bias_abs_bin_1': 0.08988971263170242, 'redshifts/bias_abs_bin_2': 0.058943573385477066, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004516751039773226, 'redshifts/bias_bin_0': 0.02825101651251316, 'redshifts/bias_bin_1': 0.010531975887715816, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005091920495033264, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.30937525629997253, 'redshifts/mse_bin_0': 0.4350554049015045, 'redshifts/mse_bin_1': 0.3574725389480591, 'redshifts/mse_bin_2': 0.29411160945892334, 'redshifts/mse_bin_3': 0.21791261434555054, 'redshifts/mse_bin_4': 0.22757171094417572, 'redshifts/mse_bin_5': 0.07494901120662689, 'redshifts/nmad': 0.11131232231855392, 'redshifts/nmad_bin_0': 0.21094222366809845, 'redshifts/nmad_bin_1': 0.13288800418376923, 'redshifts/nmad_bin_2': 0.08741553872823715, 'redshifts/nmad_bin_3': 0.07070323079824448, 'redshifts/nmad_bin_4': 0.06392283737659454, 'redshifts/nmad_bin_5': 0.03503717854619026, 'redshifts/outlier_fraction': 0.3244324326515198, 'redshifts/outlier_fraction_bin_0': 0.48755431175231934, 'redshifts/outlier_fraction_bin_1': 0.35396355390548706, 'redshifts/outlier_fraction_bin_2': 0.2547287344932556, 'redshifts/outlier_fraction_bin_3': 0.19815853238105774, 'redshifts/outlier_fraction_bin_4': 0.187077134847641, 'redshifts/outlier_fraction_bin_5': 0.09182290732860565, 'redshifts/outlier_fraction_cata': 0.08752306550741196, 'redshifts/outlier_fraction_cata_bin_0': 0.13083045184612274, 'redshifts/outlier_fraction_cata_bin_1': 0.09712213277816772, 'redshifts/outlier_fraction_cata_bin_2': 0.0780382826924324, 'redshifts/outlier_fraction_cata_bin_3': 0.05704563483595848, 'redshifts/outlier_fraction_cata_bin_4': 0.05784844234585762, 'redshifts/outlier_fraction_cata_bin_5': 0.017167381942272186}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▊ | 1387/1563 [2:11:30<15:53, 5.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([87323.])\n", + "total num of pts: tensor([31561., 21245., 8838., 4999., 2962., 17718.])\n", + "{'redshifts/bias_abs': 0.07523071020841599, 'redshifts/bias_abs_bin_0': 0.1443517655134201, 'redshifts/bias_abs_bin_1': 0.08987556397914886, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023594792932271957, 'redshifts/bias': 0.004519693553447723, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.01054901722818613, 'redshifts/bias_bin_2': -0.002196600893512368, 'redshifts/bias_bin_3': -0.005103702656924725, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00030684733064845204, 'redshifts/mse': 0.30960196256637573, 'redshifts/mse_bin_0': 0.43530595302581787, 'redshifts/mse_bin_1': 0.3573683202266693, 'redshifts/mse_bin_2': 0.29464104771614075, 'redshifts/mse_bin_3': 0.2182772010564804, 'redshifts/mse_bin_4': 0.23016075789928436, 'redshifts/mse_bin_5': 0.07492046058177948, 'redshifts/nmad': 0.1113295704126358, 'redshifts/nmad_bin_0': 0.21101848781108856, 'redshifts/nmad_bin_1': 0.1328546106815338, 'redshifts/nmad_bin_2': 0.08744604140520096, 'redshifts/nmad_bin_3': 0.07072069495916367, 'redshifts/nmad_bin_4': 0.06396592408418655, 'redshifts/nmad_bin_5': 0.03502698615193367, 'redshifts/outlier_fraction': 0.32447350025177, 'redshifts/outlier_fraction_bin_0': 0.48762714862823486, 'redshifts/outlier_fraction_bin_1': 0.35391858220100403, 'redshifts/outlier_fraction_bin_2': 0.25492191314697266, 'redshifts/outlier_fraction_bin_3': 0.19823965430259705, 'redshifts/outlier_fraction_bin_4': 0.18703578412532806, 'redshifts/outlier_fraction_bin_5': 0.09182751923799515, 'redshifts/outlier_fraction_cata': 0.08757142722606659, 'redshifts/outlier_fraction_cata_bin_0': 0.1308893859386444, 'redshifts/outlier_fraction_cata_bin_1': 0.09710519760847092, 'redshifts/outlier_fraction_cata_bin_2': 0.07818511128425598, 'redshifts/outlier_fraction_cata_bin_3': 0.05721144378185272, 'redshifts/outlier_fraction_cata_bin_4': 0.05806887149810791, 'redshifts/outlier_fraction_cata_bin_5': 0.017157692462205887}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1388/1563 [2:11:36<15:34, 5.34s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([87390.])\n", + "total num of pts: tensor([31577., 21264., 8845., 5006., 2964., 17734.])\n", + "{'redshifts/bias_abs': 0.07522749155759811, 'redshifts/bias_abs_bin_0': 0.14439213275909424, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.02829381637275219, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005154377315193415, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.3097313940525055, 'redshifts/mse_bin_0': 0.4352247714996338, 'redshifts/mse_bin_1': 0.3580837547779083, 'redshifts/mse_bin_2': 0.2944970726966858, 'redshifts/mse_bin_3': 0.21885505318641663, 'redshifts/mse_bin_4': 0.23002572357654572, 'redshifts/mse_bin_5': 0.07487419247627258, 'redshifts/nmad': 0.1113148108124733, 'redshifts/nmad_bin_0': 0.21101607382297516, 'redshifts/nmad_bin_1': 0.1328672170639038, 'redshifts/nmad_bin_2': 0.08742161095142365, 'redshifts/nmad_bin_3': 0.07065929472446442, 'redshifts/nmad_bin_4': 0.06396592408418655, 'redshifts/nmad_bin_5': 0.035036858171224594, 'redshifts/outlier_fraction': 0.32448792457580566, 'redshifts/outlier_fraction_bin_0': 0.4876650869846344, 'redshifts/outlier_fraction_bin_1': 0.35397854447364807, 'redshifts/outlier_fraction_bin_2': 0.2549462914466858, 'redshifts/outlier_fraction_bin_3': 0.19816219806671143, 'redshifts/outlier_fraction_bin_4': 0.18724696338176727, 'redshifts/outlier_fraction_bin_5': 0.09185744822025299, 'redshifts/outlier_fraction_cata': 0.08757294714450836, 'redshifts/outlier_fraction_cata_bin_0': 0.1308230608701706, 'redshifts/outlier_fraction_cata_bin_1': 0.09725357592105865, 'redshifts/outlier_fraction_cata_bin_2': 0.07812323421239853, 'redshifts/outlier_fraction_cata_bin_3': 0.057331204414367676, 'redshifts/outlier_fraction_cata_bin_4': 0.05802968889474869, 'redshifts/outlier_fraction_cata_bin_5': 0.01714221201837063}\n", + "total num of pts: tensor([87457.])\n", + "total num of pts: tensor([31595., 21282., 8850., 5010., 2965., 17755.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1389/1563 [2:11:40<14:34, 5.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07523071020841599, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010531975887715816, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005154377315193415, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0003109685785602778, 'redshifts/mse': 0.30966371297836304, 'redshifts/mse_bin_0': 0.4351845383644104, 'redshifts/mse_bin_1': 0.3581387400627136, 'redshifts/mse_bin_2': 0.29435673356056213, 'redshifts/mse_bin_3': 0.21869832277297974, 'redshifts/mse_bin_4': 0.22994846105575562, 'redshifts/mse_bin_5': 0.07480437308549881, 'redshifts/nmad': 0.11132769286632538, 'redshifts/nmad_bin_0': 0.21105007827281952, 'redshifts/nmad_bin_1': 0.13286422193050385, 'redshifts/nmad_bin_2': 0.08742161095142365, 'redshifts/nmad_bin_3': 0.07065929472446442, 'redshifts/nmad_bin_4': 0.06396592408418655, 'redshifts/nmad_bin_5': 0.035033099353313446, 'redshifts/outlier_fraction': 0.32449090480804443, 'redshifts/outlier_fraction_bin_0': 0.4876720905303955, 'redshifts/outlier_fraction_bin_1': 0.3540080785751343, 'redshifts/outlier_fraction_bin_2': 0.25502824783325195, 'redshifts/outlier_fraction_bin_3': 0.19800399243831635, 'redshifts/outlier_fraction_bin_4': 0.18718381226062775, 'redshifts/outlier_fraction_bin_5': 0.09197409451007843, 'redshifts/outlier_fraction_cata': 0.08755159378051758, 'redshifts/outlier_fraction_cata_bin_0': 0.13081184029579163, 'redshifts/outlier_fraction_cata_bin_1': 0.09726529568433762, 'redshifts/outlier_fraction_cata_bin_2': 0.07807909697294235, 'redshifts/outlier_fraction_cata_bin_3': 0.057285428047180176, 'redshifts/outlier_fraction_cata_bin_4': 0.05801011621952057, 'redshifts/outlier_fraction_cata_bin_5': 0.01712193712592125}\n", + "total num of pts: tensor([87506.])\n", + "total num of pts: tensor([31608., 21298., 8858., 5012., 2968., 17762.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1390/1563 [2:11:45<14:13, 4.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07522749155759811, 'redshifts/bias_abs_bin_0': 0.1443776935338974, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.00452159671112895, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010546640492975712, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005188565235584974, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0003161541826557368, 'redshifts/mse': 0.30955204367637634, 'redshifts/mse_bin_0': 0.4350953996181488, 'redshifts/mse_bin_1': 0.35795313119888306, 'redshifts/mse_bin_2': 0.2941555380821228, 'redshifts/mse_bin_3': 0.2186131775379181, 'redshifts/mse_bin_4': 0.22976285219192505, 'redshifts/mse_bin_5': 0.07477834820747375, 'redshifts/nmad': 0.11131737381219864, 'redshifts/nmad_bin_0': 0.2109682708978653, 'redshifts/nmad_bin_1': 0.13284248113632202, 'redshifts/nmad_bin_2': 0.08748547732830048, 'redshifts/nmad_bin_3': 0.07057367265224457, 'redshifts/nmad_bin_4': 0.06386423110961914, 'redshifts/nmad_bin_5': 0.035030048340559006, 'redshifts/outlier_fraction': 0.3244120478630066, 'redshifts/outlier_fraction_bin_0': 0.4876297116279602, 'redshifts/outlier_fraction_bin_1': 0.3538829982280731, 'redshifts/outlier_fraction_bin_2': 0.25491082668304443, 'redshifts/outlier_fraction_bin_3': 0.19792498648166656, 'redshifts/outlier_fraction_bin_4': 0.18699461221694946, 'redshifts/outlier_fraction_bin_5': 0.0919378474354744, 'redshifts/outlier_fraction_cata': 0.0875139981508255, 'redshifts/outlier_fraction_cata_bin_0': 0.13078966736793518, 'redshifts/outlier_fraction_cata_bin_1': 0.09719222784042358, 'redshifts/outlier_fraction_cata_bin_2': 0.07800857722759247, 'redshifts/outlier_fraction_cata_bin_3': 0.057262569665908813, 'redshifts/outlier_fraction_cata_bin_4': 0.05795148387551308, 'redshifts/outlier_fraction_cata_bin_5': 0.017115190625190735}\n", + "total num of pts: tensor([87563.])\n", + "total num of pts: tensor([31625., 21312., 8867., 5015., 2970., 17774.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1391/1563 [2:11:51<15:48, 5.51s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07521630823612213, 'redshifts/bias_abs_bin_0': 0.1443992555141449, 'redshifts/bias_abs_bin_1': 0.08979185670614243, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023615658283233643, 'redshifts/bias': 0.004531309008598328, 'redshifts/bias_bin_0': 0.02829381637275219, 'redshifts/bias_bin_1': 0.01054901722818613, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0003387033939361572, 'redshifts/mse': 0.3095465898513794, 'redshifts/mse_bin_0': 0.4350930154323578, 'redshifts/mse_bin_1': 0.3578440248966217, 'redshifts/mse_bin_2': 0.29457658529281616, 'redshifts/mse_bin_3': 0.21852810680866241, 'redshifts/mse_bin_4': 0.22961317002773285, 'redshifts/mse_bin_5': 0.07475800067186356, 'redshifts/nmad': 0.11131462454795837, 'redshifts/nmad_bin_0': 0.211061030626297, 'redshifts/nmad_bin_1': 0.1327725052833557, 'redshifts/nmad_bin_2': 0.0874711200594902, 'redshifts/nmad_bin_3': 0.07057562470436096, 'redshifts/nmad_bin_4': 0.06381450593471527, 'redshifts/nmad_bin_5': 0.03504238650202751, 'redshifts/outlier_fraction': 0.32439500093460083, 'redshifts/outlier_fraction_bin_0': 0.48768380284309387, 'redshifts/outlier_fraction_bin_1': 0.3537912964820862, 'redshifts/outlier_fraction_bin_2': 0.25487762689590454, 'redshifts/outlier_fraction_bin_3': 0.19800598919391632, 'redshifts/outlier_fraction_bin_4': 0.18686868250370026, 'redshifts/outlier_fraction_bin_5': 0.0919320359826088, 'redshifts/outlier_fraction_cata': 0.08750271052122116, 'redshifts/outlier_fraction_cata_bin_0': 0.1307826042175293, 'redshifts/outlier_fraction_cata_bin_1': 0.09717530012130737, 'redshifts/outlier_fraction_cata_bin_2': 0.0780421793460846, 'redshifts/outlier_fraction_cata_bin_3': 0.057228315621614456, 'redshifts/outlier_fraction_cata_bin_4': 0.05791245773434639, 'redshifts/outlier_fraction_cata_bin_5': 0.017103634774684906}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1392/1563 [2:11:56<14:39, 5.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([87621.])\n", + "total num of pts: tensor([31646., 21328., 8871., 5016., 2972., 17788.])\n", + "{'redshifts/bias_abs': 0.07521630823612213, 'redshifts/bias_abs_bin_0': 0.14440324902534485, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004532483872026205, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010592401027679443, 'redshifts/bias_bin_2': -0.0020140097476541996, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0003109685785602778, 'redshifts/mse': 0.30948203802108765, 'redshifts/mse_bin_0': 0.43500301241874695, 'redshifts/mse_bin_1': 0.3578266203403473, 'redshifts/mse_bin_2': 0.2945025563240051, 'redshifts/mse_bin_3': 0.21848471462726593, 'redshifts/mse_bin_4': 0.22945986688137054, 'redshifts/mse_bin_5': 0.07470649480819702, 'redshifts/nmad': 0.1113128736615181, 'redshifts/nmad_bin_0': 0.2110588103532791, 'redshifts/nmad_bin_1': 0.13277463614940643, 'redshifts/nmad_bin_2': 0.08753487467765808, 'redshifts/nmad_bin_3': 0.07053135335445404, 'redshifts/nmad_bin_4': 0.06374760717153549, 'redshifts/nmad_bin_5': 0.03504981845617294, 'redshifts/outlier_fraction': 0.3243628740310669, 'redshifts/outlier_fraction_bin_0': 0.4877077639102936, 'redshifts/outlier_fraction_bin_1': 0.35371342301368713, 'redshifts/outlier_fraction_bin_2': 0.25487545132637024, 'redshifts/outlier_fraction_bin_3': 0.19796650111675262, 'redshifts/outlier_fraction_bin_4': 0.18674293160438538, 'redshifts/outlier_fraction_bin_5': 0.09185968339443207, 'redshifts/outlier_fraction_cata': 0.08747903257608414, 'redshifts/outlier_fraction_cata_bin_0': 0.13075901567935944, 'redshifts/outlier_fraction_cata_bin_1': 0.09714929014444351, 'redshifts/outlier_fraction_cata_bin_2': 0.07800699025392532, 'redshifts/outlier_fraction_cata_bin_3': 0.05721690505743027, 'redshifts/outlier_fraction_cata_bin_4': 0.05787348747253418, 'redshifts/outlier_fraction_cata_bin_5': 0.017090173438191414}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1393/1563 [2:12:00<14:13, 5.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([87673.])\n", + "total num of pts: tensor([31668., 21339., 8877., 5020., 2972., 17797.])\n", + "{'redshifts/bias_abs': 0.07521972805261612, 'redshifts/bias_abs_bin_0': 0.14443564414978027, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05899753421545029, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004538059234619141, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010603499598801136, 'redshifts/bias_bin_2': -0.0020140097476541996, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00031069244141690433, 'redshifts/mse': 0.30949294567108154, 'redshifts/mse_bin_0': 0.43508172035217285, 'redshifts/mse_bin_1': 0.35783788561820984, 'redshifts/mse_bin_2': 0.2943156659603119, 'redshifts/mse_bin_3': 0.2184276133775711, 'redshifts/mse_bin_4': 0.22945986688137054, 'redshifts/mse_bin_5': 0.07467516511678696, 'redshifts/nmad': 0.11131783574819565, 'redshifts/nmad_bin_0': 0.21108977496623993, 'redshifts/nmad_bin_1': 0.1328926533460617, 'redshifts/nmad_bin_2': 0.08756370842456818, 'redshifts/nmad_bin_3': 0.07055415213108063, 'redshifts/nmad_bin_4': 0.06374760717153549, 'redshifts/nmad_bin_5': 0.035072095692157745, 'redshifts/outlier_fraction': 0.32441002130508423, 'redshifts/outlier_fraction_bin_0': 0.4877794682979584, 'redshifts/outlier_fraction_bin_1': 0.3538122773170471, 'redshifts/outlier_fraction_bin_2': 0.254703164100647, 'redshifts/outlier_fraction_bin_3': 0.19820716977119446, 'redshifts/outlier_fraction_bin_4': 0.18674293160438538, 'redshifts/outlier_fraction_bin_5': 0.09181322902441025, 'redshifts/outlier_fraction_cata': 0.0874955803155899, 'redshifts/outlier_fraction_cata_bin_0': 0.130794495344162, 'redshifts/outlier_fraction_cata_bin_1': 0.09719293564558029, 'redshifts/outlier_fraction_cata_bin_2': 0.0779542624950409, 'redshifts/outlier_fraction_cata_bin_3': 0.05717131495475769, 'redshifts/outlier_fraction_cata_bin_4': 0.05787348747253418, 'redshifts/outlier_fraction_cata_bin_5': 0.017081530764698982}\n", + "total num of pts: tensor([87729.])\n", + "total num of pts: tensor([31687., 21353., 8887., 5025., 2974., 17803.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1394/1563 [2:12:05<13:57, 4.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07522749155759811, 'redshifts/bias_abs_bin_0': 0.1445152759552002, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.0590035542845726, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004554621875286102, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010628738440573215, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00030684733064845204, 'redshifts/mse': 0.30962881445884705, 'redshifts/mse_bin_0': 0.4351665675640106, 'redshifts/mse_bin_1': 0.3581078052520752, 'redshifts/mse_bin_2': 0.29479679465293884, 'redshifts/mse_bin_3': 0.21826812624931335, 'redshifts/mse_bin_4': 0.22930645942687988, 'redshifts/mse_bin_5': 0.07465063780546188, 'redshifts/nmad': 0.11132710427045822, 'redshifts/nmad_bin_0': 0.2111930549144745, 'redshifts/nmad_bin_1': 0.13295578956604004, 'redshifts/nmad_bin_2': 0.08754151314496994, 'redshifts/nmad_bin_3': 0.07053346186876297, 'redshifts/nmad_bin_4': 0.06357045471668243, 'redshifts/nmad_bin_5': 0.035069793462753296, 'redshifts/outlier_fraction': 0.3244765102863312, 'redshifts/outlier_fraction_bin_0': 0.487865686416626, 'redshifts/outlier_fraction_bin_1': 0.3538144528865814, 'redshifts/outlier_fraction_bin_2': 0.25509169697761536, 'redshifts/outlier_fraction_bin_3': 0.19820895791053772, 'redshifts/outlier_fraction_bin_4': 0.18661734461784363, 'redshifts/outlier_fraction_bin_5': 0.09178228676319122, 'redshifts/outlier_fraction_cata': 0.08751951903104782, 'redshifts/outlier_fraction_cata_bin_0': 0.13081073760986328, 'redshifts/outlier_fraction_cata_bin_1': 0.09722287207841873, 'redshifts/outlier_fraction_cata_bin_2': 0.0780915915966034, 'redshifts/outlier_fraction_cata_bin_3': 0.05711442604660988, 'redshifts/outlier_fraction_cata_bin_4': 0.05783456563949585, 'redshifts/outlier_fraction_cata_bin_5': 0.01707577332854271}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1395/1563 [2:12:10<13:51, 4.95s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([87790.])\n", + "total num of pts: tensor([31707., 21365., 8896., 5027., 2976., 17819.])\n", + "{'redshifts/bias_abs': 0.07522742450237274, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02363508753478527, 'redshifts/bias': 0.004538869485259056, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010628738440573215, 'redshifts/bias_bin_2': -0.0020140097476541996, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.3096591532230377, 'redshifts/mse_bin_0': 0.43519797921180725, 'redshifts/mse_bin_1': 0.35802146792411804, 'redshifts/mse_bin_2': 0.2946130633354187, 'redshifts/mse_bin_3': 0.21936069428920746, 'redshifts/mse_bin_4': 0.22917121648788452, 'redshifts/mse_bin_5': 0.07471789419651031, 'redshifts/nmad': 0.1113186776638031, 'redshifts/nmad_bin_0': 0.21123099327087402, 'redshifts/nmad_bin_1': 0.13295578956604004, 'redshifts/nmad_bin_2': 0.08756370842456818, 'redshifts/nmad_bin_3': 0.07055415213108063, 'redshifts/nmad_bin_4': 0.06374760717153549, 'redshifts/nmad_bin_5': 0.03505878895521164, 'redshifts/outlier_fraction': 0.3244788646697998, 'redshifts/outlier_fraction_bin_0': 0.4879048764705658, 'redshifts/outlier_fraction_bin_1': 0.35380294919013977, 'redshifts/outlier_fraction_bin_2': 0.2549460530281067, 'redshifts/outlier_fraction_bin_3': 0.19832901656627655, 'redshifts/outlier_fraction_bin_4': 0.1864919364452362, 'redshifts/outlier_fraction_bin_5': 0.09186822921037674, 'redshifts/outlier_fraction_cata': 0.08752705156803131, 'redshifts/outlier_fraction_cata_bin_0': 0.13082285225391388, 'redshifts/outlier_fraction_cata_bin_1': 0.09721507132053375, 'redshifts/outlier_fraction_cata_bin_2': 0.07801259309053421, 'redshifts/outlier_fraction_cata_bin_3': 0.05729063227772713, 'redshifts/outlier_fraction_cata_bin_4': 0.057795699685811996, 'redshifts/outlier_fraction_cata_bin_5': 0.01711656153202057}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1396/1563 [2:12:15<13:13, 4.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([87851.])\n", + "total num of pts: tensor([31730., 21383., 8902., 5030., 2977., 17829.])\n", + "{'redshifts/bias_abs': 0.07522742450237274, 'redshifts/bias_abs_bin_0': 0.14455822110176086, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004533535335212946, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010628738440573215, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00031069244141690433, 'redshifts/mse': 0.30974096059799194, 'redshifts/mse_bin_0': 0.4354850649833679, 'redshifts/mse_bin_1': 0.3579694628715515, 'redshifts/mse_bin_2': 0.2944214344024658, 'redshifts/mse_bin_3': 0.2192317098379135, 'redshifts/mse_bin_4': 0.2291267216205597, 'redshifts/mse_bin_5': 0.07475760579109192, 'redshifts/nmad': 0.11132454127073288, 'redshifts/nmad_bin_0': 0.21139419078826904, 'redshifts/nmad_bin_1': 0.13285523653030396, 'redshifts/nmad_bin_2': 0.08745776861906052, 'redshifts/nmad_bin_3': 0.07053346186876297, 'redshifts/nmad_bin_4': 0.06381450593471527, 'redshifts/nmad_bin_5': 0.035072095692157745, 'redshifts/outlier_fraction': 0.32453814148902893, 'redshifts/outlier_fraction_bin_0': 0.488086998462677, 'redshifts/outlier_fraction_bin_1': 0.353832483291626, 'redshifts/outlier_fraction_bin_2': 0.25477421283721924, 'redshifts/outlier_fraction_bin_3': 0.1982107311487198, 'redshifts/outlier_fraction_bin_4': 0.18642929196357727, 'redshifts/outlier_fraction_bin_5': 0.09187278896570206, 'redshifts/outlier_fraction_cata': 0.087580107152462, 'redshifts/outlier_fraction_cata_bin_0': 0.13094863295555115, 'redshifts/outlier_fraction_cata_bin_1': 0.09722676873207092, 'redshifts/outlier_fraction_cata_bin_2': 0.07796000689268112, 'redshifts/outlier_fraction_cata_bin_3': 0.057256460189819336, 'redshifts/outlier_fraction_cata_bin_4': 0.05777628347277641, 'redshifts/outlier_fraction_cata_bin_5': 0.017163049429655075}\n", + "total num of pts: tensor([87922.])\n", + "total num of pts: tensor([31759., 21402., 8910., 5032., 2977., 17842.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1397/1563 [2:12:20<13:53, 5.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07522749155759811, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.02365754544734955, 'redshifts/bias': 0.004538869485259056, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010621380060911179, 'redshifts/bias_bin_2': -0.0020140097476541996, 'redshifts/bias_bin_3': -0.005189882591366768, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.3096354305744171, 'redshifts/mse_bin_0': 0.4353540241718292, 'redshifts/mse_bin_1': 0.3578222393989563, 'redshifts/mse_bin_2': 0.2942136824131012, 'redshifts/mse_bin_3': 0.21914468705654144, 'redshifts/mse_bin_4': 0.2291267216205597, 'redshifts/mse_bin_5': 0.07470840215682983, 'redshifts/nmad': 0.11130670458078384, 'redshifts/nmad_bin_0': 0.21129828691482544, 'redshifts/nmad_bin_1': 0.13286614418029785, 'redshifts/nmad_bin_2': 0.08741994947195053, 'redshifts/nmad_bin_3': 0.07048781961202621, 'redshifts/nmad_bin_4': 0.06381450593471527, 'redshifts/nmad_bin_5': 0.03507106006145477, 'redshifts/outlier_fraction': 0.3244921565055847, 'redshifts/outlier_fraction_bin_0': 0.487956166267395, 'redshifts/outlier_fraction_bin_1': 0.3538454473018646, 'redshifts/outlier_fraction_bin_2': 0.2547699213027954, 'redshifts/outlier_fraction_bin_3': 0.19813194870948792, 'redshifts/outlier_fraction_bin_4': 0.18642929196357727, 'redshifts/outlier_fraction_bin_5': 0.0918058529496193, 'redshifts/outlier_fraction_cata': 0.08754350244998932, 'redshifts/outlier_fraction_cata_bin_0': 0.13089202344417572, 'redshifts/outlier_fraction_cata_bin_1': 0.09718717634677887, 'redshifts/outlier_fraction_cata_bin_2': 0.07789000868797302, 'redshifts/outlier_fraction_cata_bin_3': 0.05723370611667633, 'redshifts/outlier_fraction_cata_bin_4': 0.05777628347277641, 'redshifts/outlier_fraction_cata_bin_5': 0.01715054363012314}\n", + "total num of pts: tensor([87968.])\n", + "total num of pts: tensor([31776., 21414., 8916., 5036., 2979., 17847.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 89%|████████▉ | 1398/1563 [2:12:25<13:30, 4.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07522742450237274, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.023660309612751007, 'redshifts/bias': 0.004538869485259056, 'redshifts/bias_bin_0': 0.028324060142040253, 'redshifts/bias_bin_1': 0.01061045378446579, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.00030684733064845204, 'redshifts/mse': 0.3096804916858673, 'redshifts/mse_bin_0': 0.43538957834243774, 'redshifts/mse_bin_1': 0.3579294681549072, 'redshifts/mse_bin_2': 0.2942642569541931, 'redshifts/mse_bin_3': 0.2189718335866928, 'redshifts/mse_bin_4': 0.2289988100528717, 'redshifts/mse_bin_5': 0.07473152130842209, 'redshifts/nmad': 0.11130375415086746, 'redshifts/nmad_bin_0': 0.2112799733877182, 'redshifts/nmad_bin_1': 0.13277125358581543, 'redshifts/nmad_bin_2': 0.08753465861082077, 'redshifts/nmad_bin_3': 0.07049566507339478, 'redshifts/nmad_bin_4': 0.06392554938793182, 'redshifts/nmad_bin_5': 0.03508119657635689, 'redshifts/outlier_fraction': 0.3245157301425934, 'redshifts/outlier_fraction_bin_0': 0.48797833919525146, 'redshifts/outlier_fraction_bin_1': 0.35378724336624146, 'redshifts/outlier_fraction_bin_2': 0.2549349367618561, 'redshifts/outlier_fraction_bin_3': 0.1979745775461197, 'redshifts/outlier_fraction_bin_4': 0.18663981556892395, 'redshifts/outlier_fraction_bin_5': 0.09183616191148758, 'redshifts/outlier_fraction_cata': 0.08755456656217575, 'redshifts/outlier_fraction_cata_bin_0': 0.13088494539260864, 'redshifts/outlier_fraction_cata_bin_1': 0.0972261130809784, 'redshifts/outlier_fraction_cata_bin_2': 0.07794975489377975, 'redshifts/outlier_fraction_cata_bin_3': 0.0571882463991642, 'redshifts/outlier_fraction_cata_bin_4': 0.05773749575018883, 'redshifts/outlier_fraction_cata_bin_5': 0.017145738005638123}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|████████▉ | 1399/1563 [2:12:32<14:55, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88029.])\n", + "total num of pts: tensor([31795., 21430., 8921., 5038., 2980., 17865.])\n", + "{'redshifts/bias_abs': 0.07522749155759811, 'redshifts/bias_abs_bin_0': 0.1445392370223999, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.0590035542845726, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004532483872026205, 'redshifts/bias_bin_0': 0.02831745706498623, 'redshifts/bias_bin_1': 0.010608005337417126, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006527471821755171, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.30969804525375366, 'redshifts/mse_bin_0': 0.4353795647621155, 'redshifts/mse_bin_1': 0.35812443494796753, 'redshifts/mse_bin_2': 0.29437023401260376, 'redshifts/mse_bin_3': 0.21889157593250275, 'redshifts/mse_bin_4': 0.2289232760667801, 'redshifts/mse_bin_5': 0.07466281205415726, 'redshifts/nmad': 0.11129723489284515, 'redshifts/nmad_bin_0': 0.21128977835178375, 'redshifts/nmad_bin_1': 0.13276761770248413, 'redshifts/nmad_bin_2': 0.08754545450210571, 'redshifts/nmad_bin_3': 0.07049566507339478, 'redshifts/nmad_bin_4': 0.063796266913414, 'redshifts/nmad_bin_5': 0.03508880361914635, 'redshifts/outlier_fraction': 0.3245067000389099, 'redshifts/outlier_fraction_bin_0': 0.4880012571811676, 'redshifts/outlier_fraction_bin_1': 0.3538030683994293, 'redshifts/outlier_fraction_bin_2': 0.2550162672996521, 'redshifts/outlier_fraction_bin_3': 0.19809448719024658, 'redshifts/outlier_fraction_bin_4': 0.1865771859884262, 'redshifts/outlier_fraction_bin_5': 0.09174363315105438, 'redshifts/outlier_fraction_cata': 0.08757341653108597, 'redshifts/outlier_fraction_cata_bin_0': 0.13086962699890137, 'redshifts/outlier_fraction_cata_bin_1': 0.0973401740193367, 'redshifts/outlier_fraction_cata_bin_2': 0.07801815867424011, 'redshifts/outlier_fraction_cata_bin_3': 0.057165540754795074, 'redshifts/outlier_fraction_cata_bin_4': 0.05771812051534653, 'redshifts/outlier_fraction_cata_bin_5': 0.017128463834524155}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|████████▉ | 1400/1563 [2:12:37<14:49, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88101.])\n", + "total num of pts: tensor([31823., 21448., 8927., 5040., 2983., 17880.])\n", + "{'redshifts/bias_abs': 0.07520138472318649, 'redshifts/bias_abs_bin_0': 0.14454174041748047, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.023660309612751007, 'redshifts/bias': 0.004531053360551596, 'redshifts/bias_bin_0': 0.02831745706498623, 'redshifts/bias_bin_1': 0.01054901722818613, 'redshifts/bias_bin_2': -0.0020140097476541996, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00030684733064845204, 'redshifts/mse': 0.30961161851882935, 'redshifts/mse_bin_0': 0.43525636196136475, 'redshifts/mse_bin_1': 0.3581007122993469, 'redshifts/mse_bin_2': 0.29417887330055237, 'redshifts/mse_bin_3': 0.21880577504634857, 'redshifts/mse_bin_4': 0.2287905365228653, 'redshifts/mse_bin_5': 0.07460719347000122, 'redshifts/nmad': 0.11125008016824722, 'redshifts/nmad_bin_0': 0.2113054245710373, 'redshifts/nmad_bin_1': 0.13283896446228027, 'redshifts/nmad_bin_2': 0.08756370842456818, 'redshifts/nmad_bin_3': 0.07046502083539963, 'redshifts/nmad_bin_4': 0.06390731036663055, 'redshifts/nmad_bin_5': 0.03508119657635689, 'redshifts/outlier_fraction': 0.3244912028312683, 'redshifts/outlier_fraction_bin_0': 0.48801180720329285, 'redshifts/outlier_fraction_bin_1': 0.353785902261734, 'redshifts/outlier_fraction_bin_2': 0.2548448443412781, 'redshifts/outlier_fraction_bin_3': 0.19801586866378784, 'redshifts/outlier_fraction_bin_4': 0.18672476708889008, 'redshifts/outlier_fraction_bin_5': 0.09172259271144867, 'redshifts/outlier_fraction_cata': 0.08755859732627869, 'redshifts/outlier_fraction_cata_bin_0': 0.1308487504720688, 'redshifts/outlier_fraction_cata_bin_1': 0.09735173732042313, 'redshifts/outlier_fraction_cata_bin_2': 0.07796572148799896, 'redshifts/outlier_fraction_cata_bin_3': 0.05714285746216774, 'redshifts/outlier_fraction_cata_bin_4': 0.057660073041915894, 'redshifts/outlier_fraction_cata_bin_5': 0.017114093527197838}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|████████▉ | 1401/1563 [2:12:42<14:37, 5.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88166.])\n", + "total num of pts: tensor([31850., 21464., 8935., 5042., 2986., 17889.])\n", + "{'redshifts/bias_abs': 0.07520554959774017, 'redshifts/bias_abs_bin_0': 0.14460574090480804, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004522162023931742, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010531975887715816, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00030684733064845204, 'redshifts/mse': 0.3095586895942688, 'redshifts/mse_bin_0': 0.43518221378326416, 'redshifts/mse_bin_1': 0.3580684959888458, 'redshifts/mse_bin_2': 0.2939681112766266, 'redshifts/mse_bin_3': 0.21872419118881226, 'redshifts/mse_bin_4': 0.22858744859695435, 'redshifts/mse_bin_5': 0.07459494471549988, 'redshifts/nmad': 0.11130005121231079, 'redshifts/nmad_bin_0': 0.21130914986133575, 'redshifts/nmad_bin_1': 0.13281233608722687, 'redshifts/nmad_bin_2': 0.08751928806304932, 'redshifts/nmad_bin_3': 0.07046502083539963, 'redshifts/nmad_bin_4': 0.06390731036663055, 'redshifts/nmad_bin_5': 0.03508206456899643, 'redshifts/outlier_fraction': 0.3245468735694885, 'redshifts/outlier_fraction_bin_0': 0.48813188076019287, 'redshifts/outlier_fraction_bin_1': 0.3538017272949219, 'redshifts/outlier_fraction_bin_2': 0.2547285854816437, 'redshifts/outlier_fraction_bin_3': 0.19793732464313507, 'redshifts/outlier_fraction_bin_4': 0.18687206506729126, 'redshifts/outlier_fraction_bin_5': 0.09173235297203064, 'redshifts/outlier_fraction_cata': 0.08757343888282776, 'redshifts/outlier_fraction_cata_bin_0': 0.13086342811584473, 'redshifts/outlier_fraction_cata_bin_1': 0.09741893410682678, 'redshifts/outlier_fraction_cata_bin_2': 0.07789591699838638, 'redshifts/outlier_fraction_cata_bin_3': 0.0571201890707016, 'redshifts/outlier_fraction_cata_bin_4': 0.05760214477777481, 'redshifts/outlier_fraction_cata_bin_5': 0.017105484381318092}\n", + "total num of pts: tensor([88221.])\n", + "total num of pts: tensor([31869., 21476., 8939., 5044., 2991., 17902.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|████████▉ | 1402/1563 [2:12:49<15:30, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07519980520009995, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.08978765457868576, 'redshifts/bias_abs_bin_2': 0.05899246782064438, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023667024448513985, 'redshifts/bias': 0.004521161783486605, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00031069244141690433, 'redshifts/mse': 0.30955570936203003, 'redshifts/mse_bin_0': 0.4351423680782318, 'redshifts/mse_bin_1': 0.35788494348526, 'redshifts/mse_bin_2': 0.2943916916847229, 'redshifts/mse_bin_3': 0.21948377788066864, 'redshifts/mse_bin_4': 0.2282310575246811, 'redshifts/mse_bin_5': 0.07454667240381241, 'redshifts/nmad': 0.11127111315727234, 'redshifts/nmad_bin_0': 0.2114630490541458, 'redshifts/nmad_bin_1': 0.13267675042152405, 'redshifts/nmad_bin_2': 0.08754812180995941, 'redshifts/nmad_bin_3': 0.07046502083539963, 'redshifts/nmad_bin_4': 0.06381450593471527, 'redshifts/nmad_bin_5': 0.03508391231298447, 'redshifts/outlier_fraction': 0.32455989718437195, 'redshifts/outlier_fraction_bin_0': 0.48828014731407166, 'redshifts/outlier_fraction_bin_1': 0.35369715094566345, 'redshifts/outlier_fraction_bin_2': 0.25472646951675415, 'redshifts/outlier_fraction_bin_3': 0.19805710017681122, 'redshifts/outlier_fraction_bin_4': 0.1868940144777298, 'redshifts/outlier_fraction_bin_5': 0.09166573733091354, 'redshifts/outlier_fraction_cata': 0.08756418526172638, 'redshifts/outlier_fraction_cata_bin_0': 0.13084815442562103, 'redshifts/outlier_fraction_cata_bin_1': 0.09736450016498566, 'redshifts/outlier_fraction_cata_bin_2': 0.07797292619943619, 'redshifts/outlier_fraction_cata_bin_3': 0.057295795530080795, 'redshifts/outlier_fraction_cata_bin_4': 0.05750584974884987, 'redshifts/outlier_fraction_cata_bin_5': 0.01709306240081787}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|████████▉ | 1403/1563 [2:12:54<14:34, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88275.])\n", + "total num of pts: tensor([31889., 21490., 8948., 5046., 2993., 17909.])\n", + "{'redshifts/bias_abs': 0.07520138472318649, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.0897248163819313, 'redshifts/bias_abs_bin_2': 0.05897947773337364, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023660309612751007, 'redshifts/bias': 0.004518427420407534, 'redshifts/bias_bin_0': 0.02829381637275219, 'redshifts/bias_bin_1': 0.010532202199101448, 'redshifts/bias_bin_2': -0.00215107761323452, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.006539772730320692, 'redshifts/bias_bin_5': 0.00031069244141690433, 'redshifts/mse': 0.3094968795776367, 'redshifts/mse_bin_0': 0.4351690411567688, 'redshifts/mse_bin_1': 0.3577127754688263, 'redshifts/mse_bin_2': 0.2941600978374481, 'redshifts/mse_bin_3': 0.21939794719219208, 'redshifts/mse_bin_4': 0.228079155087471, 'redshifts/mse_bin_5': 0.07452154159545898, 'redshifts/nmad': 0.11126880347728729, 'redshifts/nmad_bin_0': 0.21148958802223206, 'redshifts/nmad_bin_1': 0.13264741003513336, 'redshifts/nmad_bin_2': 0.08745776861906052, 'redshifts/nmad_bin_3': 0.07044058293104172, 'redshifts/nmad_bin_4': 0.06374760717153549, 'redshifts/nmad_bin_5': 0.03508391231298447, 'redshifts/outlier_fraction': 0.3245426118373871, 'redshifts/outlier_fraction_bin_0': 0.48831886053085327, 'redshifts/outlier_fraction_bin_1': 0.35355979204177856, 'redshifts/outlier_fraction_bin_2': 0.25469377636909485, 'redshifts/outlier_fraction_bin_3': 0.19797860085964203, 'redshifts/outlier_fraction_bin_4': 0.18676912784576416, 'redshifts/outlier_fraction_bin_5': 0.09168574213981628, 'redshifts/outlier_fraction_cata': 0.08754460513591766, 'redshifts/outlier_fraction_cata_bin_0': 0.13086016476154327, 'redshifts/outlier_fraction_cata_bin_1': 0.09730107337236404, 'redshifts/outlier_fraction_cata_bin_2': 0.07789450138807297, 'redshifts/outlier_fraction_cata_bin_3': 0.05727308616042137, 'redshifts/outlier_fraction_cata_bin_4': 0.057467423379421234, 'redshifts/outlier_fraction_cata_bin_5': 0.01708638109266758}\n", + "total num of pts: tensor([88341.])\n", + "total num of pts: tensor([31912., 21512., 8954., 5050., 2994., 17919.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|████████▉ | 1404/1563 [2:12:58<13:19, 5.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07519719004631042, 'redshifts/bias_abs_bin_0': 0.14462150633335114, 'redshifts/bias_abs_bin_1': 0.08978765457868576, 'redshifts/bias_abs_bin_2': 0.05896611139178276, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.004511718172580004, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010531975887715816, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.0052173868753015995, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0003142058849334717, 'redshifts/mse': 0.3095115125179291, 'redshifts/mse_bin_0': 0.4351218342781067, 'redshifts/mse_bin_1': 0.35790514945983887, 'redshifts/mse_bin_2': 0.29398563504219055, 'redshifts/mse_bin_3': 0.21930697560310364, 'redshifts/mse_bin_4': 0.22819466888904572, 'redshifts/mse_bin_5': 0.07448072731494904, 'redshifts/nmad': 0.11126349866390228, 'redshifts/nmad_bin_0': 0.21128486096858978, 'redshifts/nmad_bin_1': 0.13267375528812408, 'redshifts/nmad_bin_2': 0.08744074404239655, 'redshifts/nmad_bin_3': 0.07051364332437515, 'redshifts/nmad_bin_4': 0.0637906864285469, 'redshifts/nmad_bin_5': 0.03507028520107269, 'redshifts/outlier_fraction': 0.3245265483856201, 'redshifts/outlier_fraction_bin_0': 0.4881862699985504, 'redshifts/outlier_fraction_bin_1': 0.3536165952682495, 'redshifts/outlier_fraction_bin_2': 0.2547464966773987, 'redshifts/outlier_fraction_bin_3': 0.19801980257034302, 'redshifts/outlier_fraction_bin_4': 0.18704074621200562, 'redshifts/outlier_fraction_bin_5': 0.09163457900285721, 'redshifts/outlier_fraction_cata': 0.08756975829601288, 'redshifts/outlier_fraction_cata_bin_0': 0.13089120388031006, 'redshifts/outlier_fraction_cata_bin_1': 0.09738750755786896, 'redshifts/outlier_fraction_cata_bin_2': 0.07784230262041092, 'redshifts/outlier_fraction_cata_bin_3': 0.057227723300457, 'redshifts/outlier_fraction_cata_bin_4': 0.05744823068380356, 'redshifts/outlier_fraction_cata_bin_5': 0.017076846212148666}\n", + "total num of pts: tensor([88388.])\n", + "total num of pts: tensor([31930., 21522., 8961., 5055., 2995., 17925.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|████████▉ | 1405/1563 [2:13:03<13:43, 5.21s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07519150525331497, 'redshifts/bias_abs_bin_0': 0.14462150633335114, 'redshifts/bias_abs_bin_1': 0.08973637223243713, 'redshifts/bias_abs_bin_2': 0.05894818902015686, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.02363508753478527, 'redshifts/bias': 0.00451100105419755, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010531975887715816, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.0052052573300898075, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0003109685785602778, 'redshifts/mse': 0.3095027506351471, 'redshifts/mse_bin_0': 0.43509840965270996, 'redshifts/mse_bin_1': 0.3578099012374878, 'redshifts/mse_bin_2': 0.2940036356449127, 'redshifts/mse_bin_3': 0.21965129673480988, 'redshifts/mse_bin_4': 0.22811871767044067, 'redshifts/mse_bin_5': 0.07446164637804031, 'redshifts/nmad': 0.11124827712774277, 'redshifts/nmad_bin_0': 0.21124234795570374, 'redshifts/nmad_bin_1': 0.13266414403915405, 'redshifts/nmad_bin_2': 0.08743792027235031, 'redshifts/nmad_bin_3': 0.07049566507339478, 'redshifts/nmad_bin_4': 0.0637906864285469, 'redshifts/nmad_bin_5': 0.03507168963551521, 'redshifts/outlier_fraction': 0.3245236873626709, 'redshifts/outlier_fraction_bin_0': 0.48819291591644287, 'redshifts/outlier_fraction_bin_1': 0.3536381423473358, 'redshifts/outlier_fraction_bin_2': 0.25465908646583557, 'redshifts/outlier_fraction_bin_3': 0.1980217546224594, 'redshifts/outlier_fraction_bin_4': 0.1869782954454422, 'redshifts/outlier_fraction_bin_5': 0.09160390496253967, 'redshifts/outlier_fraction_cata': 0.08756844699382782, 'redshifts/outlier_fraction_cata_bin_0': 0.13088004291057587, 'redshifts/outlier_fraction_cata_bin_1': 0.09734225273132324, 'redshifts/outlier_fraction_cata_bin_2': 0.07789309322834015, 'redshifts/outlier_fraction_cata_bin_3': 0.057368941605091095, 'redshifts/outlier_fraction_cata_bin_4': 0.05742904916405678, 'redshifts/outlier_fraction_cata_bin_5': 0.017071129754185677}\n", + "total num of pts: tensor([88457.])\n", + "total num of pts: tensor([31948., 21544., 8969., 5062., 2996., 17938.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|████████▉ | 1406/1563 [2:13:10<14:59, 5.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07518982142210007, 'redshifts/bias_abs_bin_0': 0.14460574090480804, 'redshifts/bias_abs_bin_1': 0.0897248163819313, 'redshifts/bias_abs_bin_2': 0.05891998112201691, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.042894843965768814, 'redshifts/bias_abs_bin_5': 0.02365754544734955, 'redshifts/bias': 0.00451100105419755, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0052173868753015995, 'redshifts/bias_bin_4': -0.00656883092597127, 'redshifts/bias_bin_5': 0.0003142058849334717, 'redshifts/mse': 0.3094106614589691, 'redshifts/mse_bin_0': 0.43509620428085327, 'redshifts/mse_bin_1': 0.3576352298259735, 'redshifts/mse_bin_2': 0.2938292920589447, 'redshifts/mse_bin_3': 0.21941764652729034, 'redshifts/mse_bin_4': 0.2280425876379013, 'redshifts/mse_bin_5': 0.07441844791173935, 'redshifts/nmad': 0.11123570799827576, 'redshifts/nmad_bin_0': 0.21113502979278564, 'redshifts/nmad_bin_1': 0.13265375792980194, 'redshifts/nmad_bin_2': 0.08722350746393204, 'redshifts/nmad_bin_3': 0.07052163034677505, 'redshifts/nmad_bin_4': 0.06362439692020416, 'redshifts/nmad_bin_5': 0.03507870435714722, 'redshifts/outlier_fraction': 0.32453057169914246, 'redshifts/outlier_fraction_bin_0': 0.48813697695732117, 'redshifts/outlier_fraction_bin_1': 0.35369476675987244, 'redshifts/outlier_fraction_bin_2': 0.2545434236526489, 'redshifts/outlier_fraction_bin_3': 0.19814302027225494, 'redshifts/outlier_fraction_bin_4': 0.18691588938236237, 'redshifts/outlier_fraction_bin_5': 0.09176050871610641, 'redshifts/outlier_fraction_cata': 0.08753405511379242, 'redshifts/outlier_fraction_cata_bin_0': 0.13090021908283234, 'redshifts/outlier_fraction_cata_bin_1': 0.09724285453557968, 'redshifts/outlier_fraction_cata_bin_2': 0.07782361656427383, 'redshifts/outlier_fraction_cata_bin_3': 0.05728960782289505, 'redshifts/outlier_fraction_cata_bin_4': 0.05740987882018089, 'redshifts/outlier_fraction_cata_bin_5': 0.017058758065104485}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|█████████ | 1407/1563 [2:13:28<24:15, 9.33s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88514.])\n", + "total num of pts: tensor([31973., 21552., 8973., 5068., 3000., 17948.])\n", + "{'redshifts/bias_abs': 0.07519719004631042, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.08973637223243713, 'redshifts/bias_abs_bin_2': 0.05891998112201691, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.02364666759967804, 'redshifts/bias': 0.00451100105419755, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005225063767284155, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.0003244946710765362, 'redshifts/mse': 0.3095479905605316, 'redshifts/mse_bin_0': 0.4353081285953522, 'redshifts/mse_bin_1': 0.3578764796257019, 'redshifts/mse_bin_2': 0.29378482699394226, 'redshifts/mse_bin_3': 0.2193753868341446, 'redshifts/mse_bin_4': 0.22791002690792084, 'redshifts/mse_bin_5': 0.07447078824043274, 'redshifts/nmad': 0.11126242578029633, 'redshifts/nmad_bin_0': 0.21130730211734772, 'redshifts/nmad_bin_1': 0.13267497718334198, 'redshifts/nmad_bin_2': 0.08720090985298157, 'redshifts/nmad_bin_3': 0.07052502036094666, 'redshifts/nmad_bin_4': 0.06382720917463303, 'redshifts/nmad_bin_5': 0.03507252037525177, 'redshifts/outlier_fraction': 0.32463791966438293, 'redshifts/outlier_fraction_bin_0': 0.4882870018482208, 'redshifts/outlier_fraction_bin_1': 0.3537490665912628, 'redshifts/outlier_fraction_bin_2': 0.25465285778045654, 'redshifts/outlier_fraction_bin_3': 0.19830307364463806, 'redshifts/outlier_fraction_bin_4': 0.18733333051204681, 'redshifts/outlier_fraction_bin_5': 0.09176509827375412, 'redshifts/outlier_fraction_cata': 0.08755677193403244, 'redshifts/outlier_fraction_cata_bin_0': 0.13092297315597534, 'redshifts/outlier_fraction_cata_bin_1': 0.09729955345392227, 'redshifts/outlier_fraction_cata_bin_2': 0.07778891921043396, 'redshifts/outlier_fraction_cata_bin_3': 0.05722178518772125, 'redshifts/outlier_fraction_cata_bin_4': 0.0573333315551281, 'redshifts/outlier_fraction_cata_bin_5': 0.017104970291256905}\n", + "total num of pts: tensor([88568.])\n", + "total num of pts: tensor([31989., 21566., 8980., 5069., 3000., 17964.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|█████████ | 1408/1563 [2:13:35<21:55, 8.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07519242912530899, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.08973637223243713, 'redshifts/bias_abs_bin_2': 0.05888697877526283, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.02365754544734955, 'redshifts/bias': 0.004499569535255432, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.0020140097476541996, 'redshifts/bias_bin_3': -0.005225063767284155, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00033813153277151287, 'redshifts/mse': 0.30954137444496155, 'redshifts/mse_bin_0': 0.4353235065937042, 'redshifts/mse_bin_1': 0.35801127552986145, 'redshifts/mse_bin_2': 0.2936190664768219, 'redshifts/mse_bin_3': 0.21934260427951813, 'redshifts/mse_bin_4': 0.22791002690792084, 'redshifts/mse_bin_5': 0.07441166788339615, 'redshifts/nmad': 0.11126521974802017, 'redshifts/nmad_bin_0': 0.2113933265209198, 'redshifts/nmad_bin_1': 0.13269366323947906, 'redshifts/nmad_bin_2': 0.08718094229698181, 'redshifts/nmad_bin_3': 0.07053300738334656, 'redshifts/nmad_bin_4': 0.06382720917463303, 'redshifts/nmad_bin_5': 0.03506506234407425, 'redshifts/outlier_fraction': 0.32467707991600037, 'redshifts/outlier_fraction_bin_0': 0.4883553683757782, 'redshifts/outlier_fraction_bin_1': 0.35384401679039, 'redshifts/outlier_fraction_bin_2': 0.25467705726623535, 'redshifts/outlier_fraction_bin_3': 0.19846123456954956, 'redshifts/outlier_fraction_bin_4': 0.18733333051204681, 'redshifts/outlier_fraction_bin_5': 0.09173903614282608, 'redshifts/outlier_fraction_cata': 0.0875372588634491, 'redshifts/outlier_fraction_cata_bin_0': 0.13088874518871307, 'redshifts/outlier_fraction_cata_bin_1': 0.09732913225889206, 'redshifts/outlier_fraction_cata_bin_2': 0.0777282863855362, 'redshifts/outlier_fraction_cata_bin_3': 0.057210493832826614, 'redshifts/outlier_fraction_cata_bin_4': 0.0573333315551281, 'redshifts/outlier_fraction_cata_bin_5': 0.017089735716581345}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|█████████ | 1409/1563 [2:13:40<19:25, 7.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88630.])\n", + "total num of pts: tensor([32009., 21581., 8986., 5074., 3003., 17977.])\n", + "{'redshifts/bias_abs': 0.07519150525331497, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.08978765457868576, 'redshifts/bias_abs_bin_2': 0.05888697877526283, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.023660309612751007, 'redshifts/bias': 0.004498267080634832, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.0052173868753015995, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00033813153277151287, 'redshifts/mse': 0.30958279967308044, 'redshifts/mse_bin_0': 0.43518704175949097, 'redshifts/mse_bin_1': 0.3581567108631134, 'redshifts/mse_bin_2': 0.29371699690818787, 'redshifts/mse_bin_3': 0.21970443427562714, 'redshifts/mse_bin_4': 0.22903460264205933, 'redshifts/mse_bin_5': 0.07437922805547714, 'redshifts/nmad': 0.11126715689897537, 'redshifts/nmad_bin_0': 0.2112802416086197, 'redshifts/nmad_bin_1': 0.13274270296096802, 'redshifts/nmad_bin_2': 0.08716535568237305, 'redshifts/nmad_bin_3': 0.07051364332437515, 'redshifts/nmad_bin_4': 0.06388631463050842, 'redshifts/nmad_bin_5': 0.03506724163889885, 'redshifts/outlier_fraction': 0.3246869146823883, 'redshifts/outlier_fraction_bin_0': 0.4883001744747162, 'redshifts/outlier_fraction_bin_1': 0.3538760840892792, 'redshifts/outlier_fraction_bin_2': 0.25472956895828247, 'redshifts/outlier_fraction_bin_3': 0.19846275448799133, 'redshifts/outlier_fraction_bin_4': 0.1878121942281723, 'redshifts/outlier_fraction_bin_5': 0.09178394824266434, 'redshifts/outlier_fraction_cata': 0.08756628632545471, 'redshifts/outlier_fraction_cata_bin_0': 0.13080696761608124, 'redshifts/outlier_fraction_cata_bin_1': 0.09744682908058167, 'redshifts/outlier_fraction_cata_bin_2': 0.07778766751289368, 'redshifts/outlier_fraction_cata_bin_3': 0.05735120177268982, 'redshifts/outlier_fraction_cata_bin_4': 0.05794205889105797, 'redshifts/outlier_fraction_cata_bin_5': 0.017077377066016197}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|█████████ | 1410/1563 [2:13:46<18:00, 7.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88679.])\n", + "total num of pts: tensor([32026., 21593., 8989., 5075., 3008., 17988.])\n", + "{'redshifts/bias_abs': 0.07519150525331497, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.08978859335184097, 'redshifts/bias_abs_bin_2': 0.05891998112201691, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02363508753478527, 'redshifts/bias': 0.004502905532717705, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0052173868753015995, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.0003244946710765362, 'redshifts/mse': 0.3096946179866791, 'redshifts/mse_bin_0': 0.43523284792900085, 'redshifts/mse_bin_1': 0.35836684703826904, 'redshifts/mse_bin_2': 0.293786883354187, 'redshifts/mse_bin_3': 0.21966128051280975, 'redshifts/mse_bin_4': 0.23060157895088196, 'redshifts/mse_bin_5': 0.0743347704410553, 'redshifts/nmad': 0.11126027256250381, 'redshifts/nmad_bin_0': 0.21126121282577515, 'redshifts/nmad_bin_1': 0.13278281688690186, 'redshifts/nmad_bin_2': 0.08722350746393204, 'redshifts/nmad_bin_3': 0.07051364332437515, 'redshifts/nmad_bin_4': 0.0639600157737732, 'redshifts/nmad_bin_5': 0.03506710007786751, 'redshifts/outlier_fraction': 0.32469919323921204, 'redshifts/outlier_fraction_bin_0': 0.4882907569408417, 'redshifts/outlier_fraction_bin_1': 0.35395729541778564, 'redshifts/outlier_fraction_bin_2': 0.25475582480430603, 'redshifts/outlier_fraction_bin_3': 0.19842363893985748, 'redshifts/outlier_fraction_bin_4': 0.18816488981246948, 'redshifts/outlier_fraction_bin_5': 0.09172781556844711, 'redshifts/outlier_fraction_cata': 0.08758556097745895, 'redshifts/outlier_fraction_cata_bin_0': 0.13079997897148132, 'redshifts/outlier_fraction_cata_bin_1': 0.09748529642820358, 'redshifts/outlier_fraction_cata_bin_2': 0.07787295430898666, 'redshifts/outlier_fraction_cata_bin_3': 0.057339902967214584, 'redshifts/outlier_fraction_cata_bin_4': 0.058178190141916275, 'redshifts/outlier_fraction_cata_bin_5': 0.01706693321466446}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|█████████ | 1411/1563 [2:13:50<15:27, 6.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88733.])\n", + "total num of pts: tensor([32045., 21604., 8993., 5076., 3011., 18004.])\n", + "{'redshifts/bias_abs': 0.07518838346004486, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.08978859335184097, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004504368640482426, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010441378690302372, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005225063767284155, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00033813153277151287, 'redshifts/mse': 0.3097380995750427, 'redshifts/mse_bin_0': 0.43534404039382935, 'redshifts/mse_bin_1': 0.3583199083805084, 'redshifts/mse_bin_2': 0.2942129075527191, 'redshifts/mse_bin_3': 0.21961835026741028, 'redshifts/mse_bin_4': 0.23038038611412048, 'redshifts/mse_bin_5': 0.07431241124868393, 'redshifts/nmad': 0.11125259846448898, 'redshifts/nmad_bin_0': 0.21124698221683502, 'redshifts/nmad_bin_1': 0.13275578618049622, 'redshifts/nmad_bin_2': 0.08728610724210739, 'redshifts/nmad_bin_3': 0.0704396516084671, 'redshifts/nmad_bin_4': 0.0639532208442688, 'redshifts/nmad_bin_5': 0.03505230322480202, 'redshifts/outlier_fraction': 0.3246819078922272, 'redshifts/outlier_fraction_bin_0': 0.4882509112358093, 'redshifts/outlier_fraction_bin_1': 0.353962242603302, 'redshifts/outlier_fraction_bin_2': 0.2549760937690735, 'redshifts/outlier_fraction_bin_3': 0.19838455319404602, 'redshifts/outlier_fraction_bin_4': 0.18797741830348969, 'redshifts/outlier_fraction_bin_5': 0.09170184284448624, 'redshifts/outlier_fraction_cata': 0.0875886082649231, 'redshifts/outlier_fraction_cata_bin_0': 0.1308160424232483, 'redshifts/outlier_fraction_cata_bin_1': 0.09748195111751556, 'redshifts/outlier_fraction_cata_bin_2': 0.07794951647520065, 'redshifts/outlier_fraction_cata_bin_3': 0.05732860416173935, 'redshifts/outlier_fraction_cata_bin_4': 0.05812022462487221, 'redshifts/outlier_fraction_cata_bin_5': 0.01705176569521427}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|█████████ | 1412/1563 [2:13:54<14:06, 5.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88783.])\n", + "total num of pts: tensor([32062., 21614., 8999., 5080., 3011., 18017.])\n", + "{'redshifts/bias_abs': 0.07517679780721664, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.058930654078722, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02362070232629776, 'redshifts/bias': 0.004504368640482426, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.010441378690302372, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005225063767284155, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.0003395750536583364, 'redshifts/mse': 0.3097567856311798, 'redshifts/mse_bin_0': 0.43534210324287415, 'redshifts/mse_bin_1': 0.35845521092414856, 'redshifts/mse_bin_2': 0.2940475344657898, 'redshifts/mse_bin_3': 0.2194651961326599, 'redshifts/mse_bin_4': 0.23038038611412048, 'redshifts/mse_bin_5': 0.07442101836204529, 'redshifts/nmad': 0.11122062057256699, 'redshifts/nmad_bin_0': 0.21129049360752106, 'redshifts/nmad_bin_1': 0.13277724385261536, 'redshifts/nmad_bin_2': 0.0872664675116539, 'redshifts/nmad_bin_3': 0.07052502036094666, 'redshifts/nmad_bin_4': 0.0639532208442688, 'redshifts/nmad_bin_5': 0.035051845014095306, 'redshifts/outlier_fraction': 0.32465675473213196, 'redshifts/outlier_fraction_bin_0': 0.4882103502750397, 'redshifts/outlier_fraction_bin_1': 0.3540298044681549, 'redshifts/outlier_fraction_bin_2': 0.2549172043800354, 'redshifts/outlier_fraction_bin_3': 0.19822834432125092, 'redshifts/outlier_fraction_bin_4': 0.18797741830348969, 'redshifts/outlier_fraction_bin_5': 0.09169118106365204, 'redshifts/outlier_fraction_cata': 0.08760686218738556, 'redshifts/outlier_fraction_cata_bin_0': 0.1308402419090271, 'redshifts/outlier_fraction_cata_bin_1': 0.09752938151359558, 'redshifts/outlier_fraction_cata_bin_2': 0.07789754122495651, 'redshifts/outlier_fraction_cata_bin_3': 0.057283464819192886, 'redshifts/outlier_fraction_cata_bin_4': 0.05812022462487221, 'redshifts/outlier_fraction_cata_bin_5': 0.017094966024160385}\n", + "total num of pts: tensor([88833.])\n", + "total num of pts: tensor([32078., 21630., 9003., 5082., 3018., 18022.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|█████████ | 1413/1563 [2:14:01<14:44, 5.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07517865300178528, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.08978859335184097, 'redshifts/bias_abs_bin_2': 0.05891998112201691, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023615658283233643, 'redshifts/bias': 0.004502905532717705, 'redshifts/bias_bin_0': 0.028234682977199554, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.0052315485663712025, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.0003387033939361572, 'redshifts/mse': 0.30975812673568726, 'redshifts/mse_bin_0': 0.435321569442749, 'redshifts/mse_bin_1': 0.35855719447135925, 'redshifts/mse_bin_2': 0.29392069578170776, 'redshifts/mse_bin_3': 0.21938689053058624, 'redshifts/mse_bin_4': 0.2302304357290268, 'redshifts/mse_bin_5': 0.07440752536058426, 'redshifts/nmad': 0.1112227812409401, 'redshifts/nmad_bin_0': 0.21133224666118622, 'redshifts/nmad_bin_1': 0.1327558159828186, 'redshifts/nmad_bin_2': 0.08725566416978836, 'redshifts/nmad_bin_3': 0.07053463906049728, 'redshifts/nmad_bin_4': 0.06392507255077362, 'redshifts/nmad_bin_5': 0.03505055233836174, 'redshifts/outlier_fraction': 0.32465413212776184, 'redshifts/outlier_fraction_bin_0': 0.48821622133255005, 'redshifts/outlier_fraction_bin_1': 0.3540453016757965, 'redshifts/outlier_fraction_bin_2': 0.25480395555496216, 'redshifts/outlier_fraction_bin_3': 0.19815033674240112, 'redshifts/outlier_fraction_bin_4': 0.1878727674484253, 'redshifts/outlier_fraction_bin_5': 0.09172122925519943, 'redshifts/outlier_fraction_cata': 0.08762509375810623, 'redshifts/outlier_fraction_cata_bin_0': 0.1308373361825943, 'redshifts/outlier_fraction_cata_bin_1': 0.0975959300994873, 'redshifts/outlier_fraction_cata_bin_2': 0.0778629332780838, 'redshifts/outlier_fraction_cata_bin_3': 0.057260919362306595, 'redshifts/outlier_fraction_cata_bin_4': 0.05831676721572876, 'redshifts/outlier_fraction_cata_bin_5': 0.017090223729610443}\n", + "total num of pts: tensor([88885.])\n", + "total num of pts: tensor([32094., 21644., 9012., 5084., 3018., 18033.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 90%|█████████ | 1414/1563 [2:14:05<13:27, 5.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07517865300178528, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.08973637223243713, 'redshifts/bias_abs_bin_2': 0.05888430029153824, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023615658283233643, 'redshifts/bias': 0.004492044448852539, 'redshifts/bias_bin_0': 0.02825101651251316, 'redshifts/bias_bin_1': 0.010441378690302372, 'redshifts/bias_bin_2': -0.0020034979097545147, 'redshifts/bias_bin_3': -0.005238689947873354, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.0003161541826557368, 'redshifts/mse': 0.30969762802124023, 'redshifts/mse_bin_0': 0.43529176712036133, 'redshifts/mse_bin_1': 0.3583449125289917, 'redshifts/mse_bin_2': 0.2936475872993469, 'redshifts/mse_bin_3': 0.21930120885372162, 'redshifts/mse_bin_4': 0.2302304357290268, 'redshifts/mse_bin_5': 0.07458996027708054, 'redshifts/nmad': 0.1112222895026207, 'redshifts/nmad_bin_0': 0.21127402782440186, 'redshifts/nmad_bin_1': 0.1327546089887619, 'redshifts/nmad_bin_2': 0.08716535568237305, 'redshifts/nmad_bin_3': 0.07045985758304596, 'redshifts/nmad_bin_4': 0.06392507255077362, 'redshifts/nmad_bin_5': 0.03506166487932205, 'redshifts/outlier_fraction': 0.3245992064476013, 'redshifts/outlier_fraction_bin_0': 0.4882220923900604, 'redshifts/outlier_fraction_bin_1': 0.3539087176322937, 'redshifts/outlier_fraction_bin_2': 0.2546604573726654, 'redshifts/outlier_fraction_bin_3': 0.1980723887681961, 'redshifts/outlier_fraction_bin_4': 0.1878727674484253, 'redshifts/outlier_fraction_bin_5': 0.09172073751688004, 'redshifts/outlier_fraction_cata': 0.08760758489370346, 'redshifts/outlier_fraction_cata_bin_0': 0.1308344304561615, 'redshifts/outlier_fraction_cata_bin_1': 0.09753280133008957, 'redshifts/outlier_fraction_cata_bin_2': 0.0777851790189743, 'redshifts/outlier_fraction_cata_bin_3': 0.057238396257162094, 'redshifts/outlier_fraction_cata_bin_4': 0.05831676721572876, 'redshifts/outlier_fraction_cata_bin_5': 0.017135251313447952}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1415/1563 [2:14:10<13:11, 5.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88947.])\n", + "total num of pts: tensor([32113., 21654., 9020., 5088., 3019., 18053.])\n", + "{'redshifts/bias_abs': 0.07514804601669312, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.08973637223243713, 'redshifts/bias_abs_bin_2': 0.058868665248155594, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.004496110137552023, 'redshifts/bias_bin_0': 0.02825101651251316, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.0052315485663712025, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00033813153277151287, 'redshifts/mse': 0.3096579611301422, 'redshifts/mse_bin_0': 0.43521928787231445, 'redshifts/mse_bin_1': 0.3585626780986786, 'redshifts/mse_bin_2': 0.2935153841972351, 'redshifts/mse_bin_3': 0.21912966668605804, 'redshifts/mse_bin_4': 0.2301555871963501, 'redshifts/mse_bin_5': 0.07452213019132614, 'redshifts/nmad': 0.11118819564580917, 'redshifts/nmad_bin_0': 0.21130803227424622, 'redshifts/nmad_bin_1': 0.13273712992668152, 'redshifts/nmad_bin_2': 0.08711361140012741, 'redshifts/nmad_bin_3': 0.07040160894393921, 'redshifts/nmad_bin_4': 0.06388631463050842, 'redshifts/nmad_bin_5': 0.035046882927417755, 'redshifts/outlier_fraction': 0.32455283403396606, 'redshifts/outlier_fraction_bin_0': 0.48821350932121277, 'redshifts/outlier_fraction_bin_1': 0.35397616028785706, 'redshifts/outlier_fraction_bin_2': 0.2545454502105713, 'redshifts/outlier_fraction_bin_3': 0.1979166716337204, 'redshifts/outlier_fraction_bin_4': 0.18781054019927979, 'redshifts/outlier_fraction_bin_5': 0.09167451411485672, 'redshifts/outlier_fraction_cata': 0.08762521296739578, 'redshifts/outlier_fraction_cata_bin_0': 0.13081929087638855, 'redshifts/outlier_fraction_cata_bin_1': 0.0976724848151207, 'redshifts/outlier_fraction_cata_bin_2': 0.07782705128192902, 'redshifts/outlier_fraction_cata_bin_3': 0.057193394750356674, 'redshifts/outlier_fraction_cata_bin_4': 0.058297447860240936, 'redshifts/outlier_fraction_cata_bin_5': 0.01711626909673214}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1416/1563 [2:14:15<12:52, 5.26s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([88998.])\n", + "total num of pts: tensor([32131., 21666., 9025., 5093., 3021., 18062.])\n", + "{'redshifts/bias_abs': 0.07513854652643204, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.0897248163819313, 'redshifts/bias_abs_bin_2': 0.058868665248155594, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023594792932271957, 'redshifts/bias': 0.004504368640482426, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.0052315485663712025, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.0003395750536583364, 'redshifts/mse': 0.309636652469635, 'redshifts/mse_bin_0': 0.4351986050605774, 'redshifts/mse_bin_1': 0.3585185408592224, 'redshifts/mse_bin_2': 0.2936784327030182, 'redshifts/mse_bin_3': 0.21899503469467163, 'redshifts/mse_bin_4': 0.2300075888633728, 'redshifts/mse_bin_5': 0.07448597997426987, 'redshifts/nmad': 0.1111840233206749, 'redshifts/nmad_bin_0': 0.21126121282577515, 'redshifts/nmad_bin_1': 0.13271185755729675, 'redshifts/nmad_bin_2': 0.08712536841630936, 'redshifts/nmad_bin_3': 0.07040160894393921, 'redshifts/nmad_bin_4': 0.06388631463050842, 'redshifts/nmad_bin_5': 0.03503267467021942, 'redshifts/outlier_fraction': 0.3245241343975067, 'redshifts/outlier_fraction_bin_0': 0.48822009563446045, 'redshifts/outlier_fraction_bin_1': 0.35391858220100403, 'redshifts/outlier_fraction_bin_2': 0.25451523065567017, 'redshifts/outlier_fraction_bin_3': 0.19791871309280396, 'redshifts/outlier_fraction_bin_4': 0.18768619000911713, 'redshifts/outlier_fraction_bin_5': 0.09162883460521698, 'redshifts/outlier_fraction_cata': 0.08761994540691376, 'redshifts/outlier_fraction_cata_bin_0': 0.1308082491159439, 'redshifts/outlier_fraction_cata_bin_1': 0.09766454249620438, 'redshifts/outlier_fraction_cata_bin_2': 0.07789473980665207, 'redshifts/outlier_fraction_cata_bin_3': 0.057137247174978256, 'redshifts/outlier_fraction_cata_bin_4': 0.05825885385274887, 'redshifts/outlier_fraction_cata_bin_5': 0.01710774004459381}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1417/1563 [2:14:21<13:12, 5.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([89037.])\n", + "total num of pts: tensor([32147., 21676., 9029., 5097., 3021., 18067.])\n", + "{'redshifts/bias_abs': 0.0751415491104126, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.08971808105707169, 'redshifts/bias_abs_bin_2': 0.058868665248155594, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023600826039910316, 'redshifts/bias': 0.00451100105419755, 'redshifts/bias_bin_0': 0.028311708942055702, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00034603039966896176, 'redshifts/mse': 0.3096294701099396, 'redshifts/mse_bin_0': 0.43513205647468567, 'redshifts/mse_bin_1': 0.3583856225013733, 'redshifts/mse_bin_2': 0.2941635549068451, 'redshifts/mse_bin_3': 0.21885940432548523, 'redshifts/mse_bin_4': 0.2300075888633728, 'redshifts/mse_bin_5': 0.07447443902492523, 'redshifts/nmad': 0.1111827865242958, 'redshifts/nmad_bin_0': 0.2112400084733963, 'redshifts/nmad_bin_1': 0.13267527520656586, 'redshifts/nmad_bin_2': 0.08712536841630936, 'redshifts/nmad_bin_3': 0.07043494284152985, 'redshifts/nmad_bin_4': 0.06388631463050842, 'redshifts/nmad_bin_5': 0.035032350569963455, 'redshifts/outlier_fraction': 0.32455047965049744, 'redshifts/outlier_fraction_bin_0': 0.4882259666919708, 'redshifts/outlier_fraction_bin_1': 0.3538936972618103, 'redshifts/outlier_fraction_bin_2': 0.25462397933006287, 'redshifts/outlier_fraction_bin_3': 0.19795958697795868, 'redshifts/outlier_fraction_bin_4': 0.18768619000911713, 'redshifts/outlier_fraction_bin_5': 0.0916588231921196, 'redshifts/outlier_fraction_cata': 0.08761525899171829, 'redshifts/outlier_fraction_cata_bin_0': 0.13077425956726074, 'redshifts/outlier_fraction_cata_bin_1': 0.09761948883533478, 'redshifts/outlier_fraction_cata_bin_2': 0.07808173447847366, 'redshifts/outlier_fraction_cata_bin_3': 0.05709240585565567, 'redshifts/outlier_fraction_cata_bin_4': 0.05825885385274887, 'redshifts/outlier_fraction_cata_bin_5': 0.017103005200624466}\n", + "total num of pts: tensor([89098.])\n", + "total num of pts: tensor([32170., 21687., 9036., 5099., 3022., 18084.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1418/1563 [2:14:27<13:39, 5.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07513803988695145, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.08969127386808395, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004496110137552023, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.0003142058849334717, 'redshifts/mse': 0.30959734320640564, 'redshifts/mse_bin_0': 0.43512046337127686, 'redshifts/mse_bin_1': 0.358487606048584, 'redshifts/mse_bin_2': 0.2939437925815582, 'redshifts/mse_bin_3': 0.21877722442150116, 'redshifts/mse_bin_4': 0.22993159294128418, 'redshifts/mse_bin_5': 0.07441209256649017, 'redshifts/nmad': 0.1111743152141571, 'redshifts/nmad_bin_0': 0.2113272249698639, 'redshifts/nmad_bin_1': 0.13262538611888885, 'redshifts/nmad_bin_2': 0.08707563579082489, 'redshifts/nmad_bin_3': 0.07043494284152985, 'redshifts/nmad_bin_4': 0.06382720917463303, 'redshifts/nmad_bin_5': 0.03502101078629494, 'redshifts/outlier_fraction': 0.32450783252716064, 'redshifts/outlier_fraction_bin_0': 0.48824992775917053, 'redshifts/outlier_fraction_bin_1': 0.35380643606185913, 'redshifts/outlier_fraction_bin_2': 0.2544267475605011, 'redshifts/outlier_fraction_bin_3': 0.19788193702697754, 'redshifts/outlier_fraction_bin_4': 0.18762409687042236, 'redshifts/outlier_fraction_bin_5': 0.09168325364589691, 'redshifts/outlier_fraction_cata': 0.08760017156600952, 'redshifts/outlier_fraction_cata_bin_0': 0.13077400624752045, 'redshifts/outlier_fraction_cata_bin_1': 0.09761608392000198, 'redshifts/outlier_fraction_cata_bin_2': 0.07802125066518784, 'redshifts/outlier_fraction_cata_bin_3': 0.057070013135671616, 'redshifts/outlier_fraction_cata_bin_4': 0.05823957547545433, 'redshifts/outlier_fraction_cata_bin_5': 0.017086926847696304}\n", + "total num of pts: tensor([89161.])\n", + "total num of pts: tensor([32193., 21700., 9041., 5105., 3022., 18100.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1419/1563 [2:14:32<12:54, 5.38s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07513854652643204, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.08966773003339767, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.023587072268128395, 'redshifts/bias': 0.004496110137552023, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00031069244141690433, 'redshifts/mse': 0.3095127046108246, 'redshifts/mse_bin_0': 0.4350185990333557, 'redshifts/mse_bin_1': 0.3584132492542267, 'redshifts/mse_bin_2': 0.2937983572483063, 'redshifts/mse_bin_3': 0.21889346837997437, 'redshifts/mse_bin_4': 0.22993159294128418, 'redshifts/mse_bin_5': 0.07435294985771179, 'redshifts/nmad': 0.1111743152141571, 'redshifts/nmad_bin_0': 0.21129830181598663, 'redshifts/nmad_bin_1': 0.13261716067790985, 'redshifts/nmad_bin_2': 0.08704982697963715, 'redshifts/nmad_bin_3': 0.07043494284152985, 'redshifts/nmad_bin_4': 0.06382720917463303, 'redshifts/nmad_bin_5': 0.03502693772315979, 'redshifts/outlier_fraction': 0.3244692087173462, 'redshifts/outlier_fraction_bin_0': 0.4882117211818695, 'redshifts/outlier_fraction_bin_1': 0.353732705116272, 'redshifts/outlier_fraction_bin_2': 0.2543966472148895, 'redshifts/outlier_fraction_bin_3': 0.1980411410331726, 'redshifts/outlier_fraction_bin_4': 0.18762409687042236, 'redshifts/outlier_fraction_bin_5': 0.09165745973587036, 'redshifts/outlier_fraction_cata': 0.08758313953876495, 'redshifts/outlier_fraction_cata_bin_0': 0.13074271380901337, 'redshifts/outlier_fraction_cata_bin_1': 0.0976036861538887, 'redshifts/outlier_fraction_cata_bin_2': 0.07797809690237045, 'redshifts/outlier_fraction_cata_bin_3': 0.05719882622361183, 'redshifts/outlier_fraction_cata_bin_4': 0.05823957547545433, 'redshifts/outlier_fraction_cata_bin_5': 0.01707182265818119}\n", + "total num of pts: tensor([89211.])\n", + "total num of pts: tensor([32221., 21707., 9047., 5106., 3023., 18107.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1420/1563 [2:14:37<12:45, 5.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07514804601669312, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.08966773003339767, 'redshifts/bias_abs_bin_2': 0.05883030593395233, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.023594792932271957, 'redshifts/bias': 0.0044891368597745895, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.0052591292187571526, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.0003109685785602778, 'redshifts/mse': 0.3095608353614807, 'redshifts/mse_bin_0': 0.43503129482269287, 'redshifts/mse_bin_1': 0.3584881126880646, 'redshifts/mse_bin_2': 0.2939365804195404, 'redshifts/mse_bin_3': 0.21885059773921967, 'redshifts/mse_bin_4': 0.22985562682151794, 'redshifts/mse_bin_5': 0.07432582229375839, 'redshifts/nmad': 0.11117786169052124, 'redshifts/nmad_bin_0': 0.2114047259092331, 'redshifts/nmad_bin_1': 0.13261708617210388, 'redshifts/nmad_bin_2': 0.08707566559314728, 'redshifts/nmad_bin_3': 0.0703851506114006, 'redshifts/nmad_bin_4': 0.06382720917463303, 'redshifts/nmad_bin_5': 0.035036493092775345, 'redshifts/outlier_fraction': 0.3245115578174591, 'redshifts/outlier_fraction_bin_0': 0.48828405141830444, 'redshifts/outlier_fraction_bin_1': 0.35366472601890564, 'redshifts/outlier_fraction_bin_2': 0.2545595169067383, 'redshifts/outlier_fraction_bin_3': 0.19800235331058502, 'redshifts/outlier_fraction_bin_4': 0.1875620186328888, 'redshifts/outlier_fraction_bin_5': 0.09162202477455139, 'redshifts/outlier_fraction_cata': 0.08757888525724411, 'redshifts/outlier_fraction_cata_bin_0': 0.13069117069244385, 'redshifts/outlier_fraction_cata_bin_1': 0.09761828184127808, 'redshifts/outlier_fraction_cata_bin_2': 0.07803691923618317, 'redshifts/outlier_fraction_cata_bin_3': 0.05718762055039406, 'redshifts/outlier_fraction_cata_bin_4': 0.058220311999320984, 'redshifts/outlier_fraction_cata_bin_5': 0.017065223306417465}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1421/1563 [2:14:43<12:47, 5.40s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([89279.])\n", + "total num of pts: tensor([32245., 21719., 9057., 5111., 3025., 18122.])\n", + "{'redshifts/bias_abs': 0.07514718174934387, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.08971700817346573, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004476607311517, 'redshifts/bias_bin_0': 0.02825101651251316, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.0003109685785602778, 'redshifts/mse': 0.3095304071903229, 'redshifts/mse_bin_0': 0.43508127331733704, 'redshifts/mse_bin_1': 0.3584408462047577, 'redshifts/mse_bin_2': 0.29373446106910706, 'redshifts/mse_bin_3': 0.21899180114269257, 'redshifts/mse_bin_4': 0.22970901429653168, 'redshifts/mse_bin_5': 0.07426798343658447, 'redshifts/nmad': 0.1111883893609047, 'redshifts/nmad_bin_0': 0.211454376578331, 'redshifts/nmad_bin_1': 0.1326323002576828, 'redshifts/nmad_bin_2': 0.08706740289926529, 'redshifts/nmad_bin_3': 0.07052420824766159, 'redshifts/nmad_bin_4': 0.06382720917463303, 'redshifts/nmad_bin_5': 0.035033099353313446, 'redshifts/outlier_fraction': 0.32454439997673035, 'redshifts/outlier_fraction_bin_0': 0.4884168207645416, 'redshifts/outlier_fraction_bin_1': 0.35369953513145447, 'redshifts/outlier_fraction_bin_2': 0.25449928641319275, 'redshifts/outlier_fraction_bin_3': 0.19819995760917664, 'redshifts/outlier_fraction_bin_4': 0.1874380111694336, 'redshifts/outlier_fraction_bin_5': 0.0915461853146553, 'redshifts/outlier_fraction_cata': 0.08755698800086975, 'redshifts/outlier_fraction_cata_bin_0': 0.1306869238615036, 'redshifts/outlier_fraction_cata_bin_1': 0.09756434708833694, 'redshifts/outlier_fraction_cata_bin_2': 0.07795075327157974, 'redshifts/outlier_fraction_cata_bin_3': 0.057327333837747574, 'redshifts/outlier_fraction_cata_bin_4': 0.05818181857466698, 'redshifts/outlier_fraction_cata_bin_5': 0.017051098868250847}\n", + "total num of pts: tensor([89342.])\n", + "total num of pts: tensor([32271., 21732., 9063., 5116., 3028., 18132.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1422/1563 [2:14:47<12:04, 5.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07514131814241409, 'redshifts/bias_abs_bin_0': 0.14471553266048431, 'redshifts/bias_abs_bin_1': 0.08969277143478394, 'redshifts/bias_abs_bin_2': 0.05876940116286278, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023587072268128395, 'redshifts/bias': 0.004476634785532951, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.0003142058849334717, 'redshifts/mse': 0.3094797432422638, 'redshifts/mse_bin_0': 0.4350185692310333, 'redshifts/mse_bin_1': 0.3584124445915222, 'redshifts/mse_bin_2': 0.2935658097267151, 'redshifts/mse_bin_3': 0.21879012882709503, 'redshifts/mse_bin_4': 0.22991327941417694, 'redshifts/mse_bin_5': 0.07422921806573868, 'redshifts/nmad': 0.1111738458275795, 'redshifts/nmad_bin_0': 0.2114446461200714, 'redshifts/nmad_bin_1': 0.13263222575187683, 'redshifts/nmad_bin_2': 0.08704615384340286, 'redshifts/nmad_bin_3': 0.07036709040403366, 'redshifts/nmad_bin_4': 0.06376820802688599, 'redshifts/nmad_bin_5': 0.03502172976732254, 'redshifts/outlier_fraction': 0.32452821731567383, 'redshifts/outlier_fraction_bin_0': 0.488426148891449, 'redshifts/outlier_fraction_bin_1': 0.35362598299980164, 'redshifts/outlier_fraction_bin_2': 0.25444114208221436, 'redshifts/outlier_fraction_bin_3': 0.1982017159461975, 'redshifts/outlier_fraction_bin_4': 0.1875825673341751, 'redshifts/outlier_fraction_bin_5': 0.09149570018053055, 'redshifts/outlier_fraction_cata': 0.0875735953450203, 'redshifts/outlier_fraction_cata_bin_0': 0.1307055801153183, 'redshifts/outlier_fraction_cata_bin_1': 0.09759800881147385, 'redshifts/outlier_fraction_cata_bin_2': 0.07789915055036545, 'redshifts/outlier_fraction_cata_bin_3': 0.05727130547165871, 'redshifts/outlier_fraction_cata_bin_4': 0.058454424142837524, 'redshifts/outlier_fraction_cata_bin_5': 0.01704169437289238}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1423/1563 [2:14:51<10:55, 4.68s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([89386.])\n", + "total num of pts: tensor([32291., 21743., 9068., 5116., 3028., 18140.])\n", + "{'redshifts/bias_abs': 0.07513803988695145, 'redshifts/bias_abs_bin_0': 0.14470525085926056, 'redshifts/bias_abs_bin_1': 0.08969127386808395, 'redshifts/bias_abs_bin_2': 0.058727897703647614, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.0044891368597745895, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.010531975887715816, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.0003142058849334717, 'redshifts/mse': 0.30958813428878784, 'redshifts/mse_bin_0': 0.43501678109169006, 'redshifts/mse_bin_1': 0.3588670492172241, 'redshifts/mse_bin_2': 0.293491929769516, 'redshifts/mse_bin_3': 0.21879012882709503, 'redshifts/mse_bin_4': 0.22991327941417694, 'redshifts/mse_bin_5': 0.07419874519109726, 'redshifts/nmad': 0.1111711859703064, 'redshifts/nmad_bin_0': 0.2114047259092331, 'redshifts/nmad_bin_1': 0.13262146711349487, 'redshifts/nmad_bin_2': 0.08693375438451767, 'redshifts/nmad_bin_3': 0.07036709040403366, 'redshifts/nmad_bin_4': 0.06376820802688599, 'redshifts/nmad_bin_5': 0.03502101078629494, 'redshifts/outlier_fraction': 0.32451391220092773, 'redshifts/outlier_fraction_bin_0': 0.4883713722229004, 'redshifts/outlier_fraction_bin_1': 0.35363104939460754, 'redshifts/outlier_fraction_bin_2': 0.25441110134124756, 'redshifts/outlier_fraction_bin_3': 0.1982017159461975, 'redshifts/outlier_fraction_bin_4': 0.1875825673341751, 'redshifts/outlier_fraction_bin_5': 0.09145534783601761, 'redshifts/outlier_fraction_cata': 0.08759760856628418, 'redshifts/outlier_fraction_cata_bin_0': 0.13071753084659576, 'redshifts/outlier_fraction_cata_bin_1': 0.09768661111593246, 'redshifts/outlier_fraction_cata_bin_2': 0.07785619795322418, 'redshifts/outlier_fraction_cata_bin_3': 0.05727130547165871, 'redshifts/outlier_fraction_cata_bin_4': 0.058454424142837524, 'redshifts/outlier_fraction_cata_bin_5': 0.017034178599715233}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1424/1563 [2:14:58<12:33, 5.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([89442.])\n", + "total num of pts: tensor([32314., 21755., 9072., 5125., 3028., 18148.])\n", + "{'redshifts/bias_abs': 0.0751415491104126, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.08969277143478394, 'redshifts/bias_abs_bin_2': 0.05876940116286278, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004476607311517, 'redshifts/bias_bin_0': 0.028216304257512093, 'redshifts/bias_bin_1': 0.010532202199101448, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00031069244141690433, 'redshifts/mse': 0.3095058500766754, 'redshifts/mse_bin_0': 0.4348650574684143, 'redshifts/mse_bin_1': 0.3587930500507355, 'redshifts/mse_bin_2': 0.29357555508613586, 'redshifts/mse_bin_3': 0.21844527125358582, 'redshifts/mse_bin_4': 0.22991327941417694, 'redshifts/mse_bin_5': 0.0741683766245842, 'redshifts/nmad': 0.1111883893609047, 'redshifts/nmad_bin_0': 0.21141213178634644, 'redshifts/nmad_bin_1': 0.1326424479484558, 'redshifts/nmad_bin_2': 0.0870235487818718, 'redshifts/nmad_bin_3': 0.07032152265310287, 'redshifts/nmad_bin_4': 0.06376820802688599, 'redshifts/nmad_bin_5': 0.03501580283045769, 'redshifts/outlier_fraction': 0.32448962330818176, 'redshifts/outlier_fraction_bin_0': 0.4883022904396057, 'redshifts/outlier_fraction_bin_1': 0.35361984372138977, 'redshifts/outlier_fraction_bin_2': 0.25462964177131653, 'redshifts/outlier_fraction_bin_3': 0.19785365462303162, 'redshifts/outlier_fraction_bin_4': 0.1875825673341751, 'redshifts/outlier_fraction_bin_5': 0.09141503274440765, 'redshifts/outlier_fraction_cata': 0.08757630735635757, 'redshifts/outlier_fraction_cata_bin_0': 0.13068638741970062, 'redshifts/outlier_fraction_cata_bin_1': 0.09763272851705551, 'redshifts/outlier_fraction_cata_bin_2': 0.07793209701776505, 'redshifts/outlier_fraction_cata_bin_3': 0.05717073008418083, 'redshifts/outlier_fraction_cata_bin_4': 0.058454424142837524, 'redshifts/outlier_fraction_cata_bin_5': 0.017026670277118683}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1425/1563 [2:15:02<11:31, 5.01s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([89507.])\n", + "total num of pts: tensor([32341., 21772., 9079., 5125., 3032., 18158.])\n", + "{'redshifts/bias_abs': 0.0751587301492691, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.0897248163819313, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004476634785532951, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010532202199101448, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00030684733064845204, 'redshifts/mse': 0.30954864621162415, 'redshifts/mse_bin_0': 0.43473491072654724, 'redshifts/mse_bin_1': 0.35915324091911316, 'redshifts/mse_bin_2': 0.2933843731880188, 'redshifts/mse_bin_3': 0.21844527125358582, 'redshifts/mse_bin_4': 0.23027779161930084, 'redshifts/mse_bin_5': 0.07413497567176819, 'redshifts/nmad': 0.11121148616075516, 'redshifts/nmad_bin_0': 0.2114175260066986, 'redshifts/nmad_bin_1': 0.1326638162136078, 'redshifts/nmad_bin_2': 0.08700717985630035, 'redshifts/nmad_bin_3': 0.07032152265310287, 'redshifts/nmad_bin_4': 0.06380514800548553, 'redshifts/nmad_bin_5': 0.035032641142606735, 'redshifts/outlier_fraction': 0.3245556354522705, 'redshifts/outlier_fraction_bin_0': 0.48835843801498413, 'redshifts/outlier_fraction_bin_1': 0.3537571132183075, 'redshifts/outlier_fraction_bin_2': 0.25465360283851624, 'redshifts/outlier_fraction_bin_3': 0.19785365462303162, 'redshifts/outlier_fraction_bin_4': 0.1876649111509323, 'redshifts/outlier_fraction_bin_5': 0.09136468917131424, 'redshifts/outlier_fraction_cata': 0.08757974207401276, 'redshifts/outlier_fraction_cata_bin_0': 0.13063912093639374, 'redshifts/outlier_fraction_cata_bin_1': 0.0976942852139473, 'redshifts/outlier_fraction_cata_bin_2': 0.07787201553583145, 'redshifts/outlier_fraction_cata_bin_3': 0.05717073008418083, 'redshifts/outlier_fraction_cata_bin_4': 0.05870712548494339, 'redshifts/outlier_fraction_cata_bin_5': 0.017017291858792305}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 1426/1563 [2:15:08<12:04, 5.29s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([89559.])\n", + "total num of pts: tensor([32365., 21786., 9084., 5130., 3032., 18162.])\n", + "{'redshifts/bias_abs': 0.07518117874860764, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.08972189575433731, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023587072268128395, 'redshifts/bias': 0.004486439283937216, 'redshifts/bias_bin_0': 0.028234682977199554, 'redshifts/bias_bin_1': 0.010531975887715816, 'redshifts/bias_bin_2': -0.001932094688527286, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.3096007704734802, 'redshifts/mse_bin_0': 0.43490320444107056, 'redshifts/mse_bin_1': 0.3590056896209717, 'redshifts/mse_bin_2': 0.2933456301689148, 'redshifts/mse_bin_3': 0.2186114639043808, 'redshifts/mse_bin_4': 0.23027779161930084, 'redshifts/mse_bin_5': 0.07411912828683853, 'redshifts/nmad': 0.11123059689998627, 'redshifts/nmad_bin_0': 0.2114393711090088, 'redshifts/nmad_bin_1': 0.13278105854988098, 'redshifts/nmad_bin_2': 0.08700418472290039, 'redshifts/nmad_bin_3': 0.0702909603714943, 'redshifts/nmad_bin_4': 0.06380514800548553, 'redshifts/nmad_bin_5': 0.03502931818366051, 'redshifts/outlier_fraction': 0.3246016502380371, 'redshifts/outlier_fraction_bin_0': 0.4883670508861542, 'redshifts/outlier_fraction_bin_1': 0.3537592887878418, 'redshifts/outlier_fraction_bin_2': 0.2547335922718048, 'redshifts/outlier_fraction_bin_3': 0.19805067777633667, 'redshifts/outlier_fraction_bin_4': 0.1876649111509323, 'redshifts/outlier_fraction_bin_5': 0.09134456515312195, 'redshifts/outlier_fraction_cata': 0.0875847190618515, 'redshifts/outlier_fraction_cata_bin_0': 0.13063494861125946, 'redshifts/outlier_fraction_cata_bin_1': 0.09763150662183762, 'redshifts/outlier_fraction_cata_bin_2': 0.0779392346739769, 'redshifts/outlier_fraction_cata_bin_3': 0.057309940457344055, 'redshifts/outlier_fraction_cata_bin_4': 0.05870712548494339, 'redshifts/outlier_fraction_cata_bin_5': 0.017013544216752052}\n", + "total num of pts: tensor([89610.])\n", + "total num of pts: tensor([32385., 21800., 9084., 5135., 3032., 18174.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████▏| 1427/1563 [2:15:14<12:27, 5.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07518117874860764, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.08972189575433731, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04297966882586479, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004476607311517, 'redshifts/bias_bin_0': 0.028234682977199554, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.001932094688527286, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.30969375371932983, 'redshifts/mse_bin_0': 0.43483197689056396, 'redshifts/mse_bin_1': 0.35934507846832275, 'redshifts/mse_bin_2': 0.2933456301689148, 'redshifts/mse_bin_3': 0.21852974593639374, 'redshifts/mse_bin_4': 0.23027779161930084, 'redshifts/mse_bin_5': 0.07432521879673004, 'redshifts/nmad': 0.1112392395734787, 'redshifts/nmad_bin_0': 0.2114124745130539, 'redshifts/nmad_bin_1': 0.1328085958957672, 'redshifts/nmad_bin_2': 0.08700418472290039, 'redshifts/nmad_bin_3': 0.07033270597457886, 'redshifts/nmad_bin_4': 0.06380514800548553, 'redshifts/nmad_bin_5': 0.035036858171224594, 'redshifts/outlier_fraction': 0.32464009523391724, 'redshifts/outlier_fraction_bin_0': 0.4883124828338623, 'redshifts/outlier_fraction_bin_1': 0.3538532257080078, 'redshifts/outlier_fraction_bin_2': 0.2547335922718048, 'redshifts/outlier_fraction_bin_3': 0.19824732840061188, 'redshifts/outlier_fraction_bin_4': 0.1876649111509323, 'redshifts/outlier_fraction_bin_5': 0.0914493203163147, 'redshifts/outlier_fraction_cata': 0.08761298656463623, 'redshifts/outlier_fraction_cata_bin_0': 0.13061602413654327, 'redshifts/outlier_fraction_cata_bin_1': 0.09775229543447495, 'redshifts/outlier_fraction_cata_bin_2': 0.0779392346739769, 'redshifts/outlier_fraction_cata_bin_3': 0.057254139333963394, 'redshifts/outlier_fraction_cata_bin_4': 0.05870712548494339, 'redshifts/outlier_fraction_cata_bin_5': 0.017057335004210472}\n", + "total num of pts: tensor([89675.])\n", + "total num of pts: tensor([32404., 21823., 9088., 5142., 3033., 18185.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████▏| 1428/1563 [2:15:20<12:48, 5.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07517986744642258, 'redshifts/bias_abs_bin_0': 0.14462150633335114, 'redshifts/bias_abs_bin_1': 0.08978765457868576, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.0044891368597745895, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.010532202199101448, 'redshifts/bias_bin_2': -0.0018965869676321745, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.309619277715683, 'redshifts/mse_bin_0': 0.4346894919872284, 'redshifts/mse_bin_1': 0.35937216877937317, 'redshifts/mse_bin_2': 0.29322299361228943, 'redshifts/mse_bin_3': 0.21831589937210083, 'redshifts/mse_bin_4': 0.23020578920841217, 'redshifts/mse_bin_5': 0.07430486381053925, 'redshifts/nmad': 0.11123296618461609, 'redshifts/nmad_bin_0': 0.21133869886398315, 'redshifts/nmad_bin_1': 0.1328883320093155, 'redshifts/nmad_bin_2': 0.08695153892040253, 'redshifts/nmad_bin_3': 0.07027272880077362, 'redshifts/nmad_bin_4': 0.0638149082660675, 'redshifts/nmad_bin_5': 0.035036858171224594, 'redshifts/outlier_fraction': 0.3246166706085205, 'redshifts/outlier_fraction_bin_0': 0.4881804585456848, 'redshifts/outlier_fraction_bin_1': 0.35403016209602356, 'redshifts/outlier_fraction_bin_2': 0.2546214759349823, 'redshifts/outlier_fraction_bin_3': 0.19817191362380981, 'redshifts/outlier_fraction_bin_4': 0.18760302662849426, 'redshifts/outlier_fraction_bin_5': 0.09144899994134903, 'redshifts/outlier_fraction_cata': 0.08758293837308884, 'redshifts/outlier_fraction_cata_bin_0': 0.13057030737400055, 'redshifts/outlier_fraction_cata_bin_1': 0.09774091839790344, 'redshifts/outlier_fraction_cata_bin_2': 0.07790493220090866, 'redshifts/outlier_fraction_cata_bin_3': 0.057176195085048676, 'redshifts/outlier_fraction_cata_bin_4': 0.05868776887655258, 'redshifts/outlier_fraction_cata_bin_5': 0.017047015950083733}\n", + "total num of pts: tensor([89720.])\n", + "total num of pts: tensor([32421., 21838., 9089., 5147., 3034., 18191.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████▏| 1429/1563 [2:15:26<12:36, 5.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07515974342823029, 'redshifts/bias_abs_bin_0': 0.14462150633335114, 'redshifts/bias_abs_bin_1': 0.08969277143478394, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004474514164030552, 'redshifts/bias_bin_0': 0.028232475742697716, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.30959683656692505, 'redshifts/mse_bin_0': 0.43460002541542053, 'redshifts/mse_bin_1': 0.3591618835926056, 'redshifts/mse_bin_2': 0.29319092631340027, 'redshifts/mse_bin_3': 0.21935956180095673, 'redshifts/mse_bin_4': 0.2301374226808548, 'redshifts/mse_bin_5': 0.07428863644599915, 'redshifts/nmad': 0.1112319752573967, 'redshifts/nmad_bin_0': 0.2113015353679657, 'redshifts/nmad_bin_1': 0.1327558159828186, 'redshifts/nmad_bin_2': 0.08694678544998169, 'redshifts/nmad_bin_3': 0.07026642560958862, 'redshifts/nmad_bin_4': 0.06384433805942535, 'redshifts/nmad_bin_5': 0.035029008984565735, 'redshifts/outlier_fraction': 0.3245541751384735, 'redshifts/outlier_fraction_bin_0': 0.4881095588207245, 'redshifts/outlier_fraction_bin_1': 0.35383278131484985, 'redshifts/outlier_fraction_bin_2': 0.25459346175193787, 'redshifts/outlier_fraction_bin_3': 0.19817368686199188, 'redshifts/outlier_fraction_bin_4': 0.187541201710701, 'redshifts/outlier_fraction_bin_5': 0.09147380292415619, 'redshifts/outlier_fraction_cata': 0.08756130188703537, 'redshifts/outlier_fraction_cata_bin_0': 0.13053268194198608, 'redshifts/outlier_fraction_cata_bin_1': 0.09767378121614456, 'redshifts/outlier_fraction_cata_bin_2': 0.0778963565826416, 'redshifts/outlier_fraction_cata_bin_3': 0.05731493979692459, 'redshifts/outlier_fraction_cata_bin_4': 0.05866842344403267, 'redshifts/outlier_fraction_cata_bin_5': 0.017041394487023354}\n", + "total num of pts: tensor([89772.])\n", + "total num of pts: tensor([32440., 21854., 9097., 5147., 3035., 18199.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████▏| 1430/1563 [2:15:31<12:09, 5.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07517986744642258, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.08972189575433731, 'redshifts/bias_abs_bin_2': 0.05883030593395233, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.023580757901072502, 'redshifts/bias': 0.004474413115531206, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.010412849485874176, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.0002857233921531588, 'redshifts/mse': 0.30971258878707886, 'redshifts/mse_bin_0': 0.4345364570617676, 'redshifts/mse_bin_1': 0.35925036668777466, 'redshifts/mse_bin_2': 0.29431718587875366, 'redshifts/mse_bin_3': 0.21935956180095673, 'redshifts/mse_bin_4': 0.23006848990917206, 'redshifts/mse_bin_5': 0.07425615191459656, 'redshifts/nmad': 0.11124467849731445, 'redshifts/nmad_bin_0': 0.21135257184505463, 'redshifts/nmad_bin_1': 0.1328195333480835, 'redshifts/nmad_bin_2': 0.08699648827314377, 'redshifts/nmad_bin_3': 0.07026642560958862, 'redshifts/nmad_bin_4': 0.0638812705874443, 'redshifts/nmad_bin_5': 0.03501654788851738, 'redshifts/outlier_fraction': 0.32461124658584595, 'redshifts/outlier_fraction_bin_0': 0.4881936013698578, 'redshifts/outlier_fraction_bin_1': 0.35389402508735657, 'redshifts/outlier_fraction_bin_2': 0.25469934940338135, 'redshifts/outlier_fraction_bin_3': 0.19817368686199188, 'redshifts/outlier_fraction_bin_4': 0.1874794065952301, 'redshifts/outlier_fraction_bin_5': 0.09143359214067459, 'redshifts/outlier_fraction_cata': 0.08757741749286652, 'redshifts/outlier_fraction_cata_bin_0': 0.13048705458641052, 'redshifts/outlier_fraction_cata_bin_1': 0.0976937860250473, 'redshifts/outlier_fraction_cata_bin_2': 0.07815763354301453, 'redshifts/outlier_fraction_cata_bin_3': 0.05731493979692459, 'redshifts/outlier_fraction_cata_bin_4': 0.05864909291267395, 'redshifts/outlier_fraction_cata_bin_5': 0.017033902928233147}\n", + "total num of pts: tensor([89840.])\n", + "total num of pts: tensor([32467., 21864., 9105., 5152., 3037., 18215.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1431/1563 [2:15:39<13:37, 6.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07516919076442719, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.08971700817346573, 'redshifts/bias_abs_bin_2': 0.05876940116286278, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.0044848076067864895, 'redshifts/bias_bin_0': 0.02825101651251316, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.00188361294567585, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00031069244141690433, 'redshifts/mse': 0.3098617494106293, 'redshifts/mse_bin_0': 0.43479347229003906, 'redshifts/mse_bin_1': 0.3594679832458496, 'redshifts/mse_bin_2': 0.2945290803909302, 'redshifts/mse_bin_3': 0.21922849118709564, 'redshifts/mse_bin_4': 0.23006583750247955, 'redshifts/mse_bin_5': 0.07423906028270721, 'redshifts/nmad': 0.11122360080480576, 'redshifts/nmad_bin_0': 0.21127402782440186, 'redshifts/nmad_bin_1': 0.13276797533035278, 'redshifts/nmad_bin_2': 0.08693227916955948, 'redshifts/nmad_bin_3': 0.07039697468280792, 'redshifts/nmad_bin_4': 0.06392307579517365, 'redshifts/nmad_bin_5': 0.03501580283045769, 'redshifts/outlier_fraction': 0.3245992958545685, 'redshifts/outlier_fraction_bin_0': 0.4881879985332489, 'redshifts/outlier_fraction_bin_1': 0.35382363200187683, 'redshifts/outlier_fraction_bin_2': 0.2545853853225708, 'redshifts/outlier_fraction_bin_3': 0.198369562625885, 'redshifts/outlier_fraction_bin_4': 0.18801449239253998, 'redshifts/outlier_fraction_bin_5': 0.09140817821025848, 'redshifts/outlier_fraction_cata': 0.08760017901659012, 'redshifts/outlier_fraction_cata_bin_0': 0.13053254783153534, 'redshifts/outlier_fraction_cata_bin_1': 0.09774057567119598, 'redshifts/outlier_fraction_cata_bin_2': 0.07819879055023193, 'redshifts/outlier_fraction_cata_bin_3': 0.057259317487478256, 'redshifts/outlier_fraction_cata_bin_4': 0.0586104691028595, 'redshifts/outlier_fraction_cata_bin_5': 0.017018940299749374}\n", + "total num of pts: tensor([89896.])\n", + "total num of pts: tensor([32493., 21880., 9109., 5154., 3038., 18222.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1432/1563 [2:15:43<12:33, 5.75s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07517679780721664, 'redshifts/bias_abs_bin_0': 0.14460574090480804, 'redshifts/bias_abs_bin_1': 0.08969277143478394, 'redshifts/bias_abs_bin_2': 0.05883030593395233, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023580757901072502, 'redshifts/bias': 0.004492044448852539, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0018820632249116898, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00031069244141690433, 'redshifts/mse': 0.30990663170814514, 'redshifts/mse_bin_0': 0.434761643409729, 'redshifts/mse_bin_1': 0.35926610231399536, 'redshifts/mse_bin_2': 0.2944146990776062, 'redshifts/mse_bin_3': 0.21915827691555023, 'redshifts/mse_bin_4': 0.2331058233976364, 'redshifts/mse_bin_5': 0.0742163434624672, 'redshifts/nmad': 0.11123432964086533, 'redshifts/nmad_bin_0': 0.21110139787197113, 'redshifts/nmad_bin_1': 0.13275836408138275, 'redshifts/nmad_bin_2': 0.0869797095656395, 'redshifts/nmad_bin_3': 0.07039697468280792, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.035014912486076355, 'redshifts/outlier_fraction': 0.32453057169914246, 'redshifts/outlier_fraction_bin_0': 0.48801279067993164, 'redshifts/outlier_fraction_bin_1': 0.3536563217639923, 'redshifts/outlier_fraction_bin_2': 0.25447359681129456, 'redshifts/outlier_fraction_bin_3': 0.19848661124706268, 'redshifts/outlier_fraction_bin_4': 0.18828175961971283, 'redshifts/outlier_fraction_bin_5': 0.09142794460058212, 'redshifts/outlier_fraction_cata': 0.08759010583162308, 'redshifts/outlier_fraction_cata_bin_0': 0.13052041828632355, 'redshifts/outlier_fraction_cata_bin_1': 0.0976691022515297, 'redshifts/outlier_fraction_cata_bin_2': 0.07816445082426071, 'redshifts/outlier_fraction_cata_bin_3': 0.05723709613084793, 'redshifts/outlier_fraction_cata_bin_4': 0.05892034247517586, 'redshifts/outlier_fraction_cata_bin_5': 0.017012402415275574}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1433/1563 [2:15:51<13:24, 6.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([89944.])\n", + "total num of pts: tensor([32510., 21891., 9112., 5157., 3040., 18234.])\n", + "{'redshifts/bias_abs': 0.07516197115182877, 'redshifts/bias_abs_bin_0': 0.14454174041748047, 'redshifts/bias_abs_bin_1': 0.08971700817346573, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.0044937413185834885, 'redshifts/bias_bin_0': 0.02829381637275219, 'redshifts/bias_bin_1': 0.010412849485874176, 'redshifts/bias_bin_2': -0.00188361294567585, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0003142058849334717, 'redshifts/mse': 0.30980774760246277, 'redshifts/mse_bin_0': 0.4346136450767517, 'redshifts/mse_bin_1': 0.3592195510864258, 'redshifts/mse_bin_2': 0.2943420708179474, 'redshifts/mse_bin_3': 0.21904706954956055, 'redshifts/mse_bin_4': 0.23297175765037537, 'redshifts/mse_bin_5': 0.07417301088571548, 'redshifts/nmad': 0.11120527237653732, 'redshifts/nmad_bin_0': 0.2109871208667755, 'redshifts/nmad_bin_1': 0.1327829509973526, 'redshifts/nmad_bin_2': 0.08693230152130127, 'redshifts/nmad_bin_3': 0.07047540694475174, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.03502101078629494, 'redshifts/outlier_fraction': 0.32446855306625366, 'redshifts/outlier_fraction_bin_0': 0.4879114031791687, 'redshifts/outlier_fraction_bin_1': 0.3536156415939331, 'redshifts/outlier_fraction_bin_2': 0.25449955463409424, 'redshifts/outlier_fraction_bin_3': 0.19837114214897156, 'redshifts/outlier_fraction_bin_4': 0.18848684430122375, 'redshifts/outlier_fraction_bin_5': 0.09136777371168137, 'redshifts/outlier_fraction_cata': 0.08755447715520859, 'redshifts/outlier_fraction_cata_bin_0': 0.13045217096805573, 'redshifts/outlier_fraction_cata_bin_1': 0.0976657047867775, 'redshifts/outlier_fraction_cata_bin_2': 0.07813871651887894, 'redshifts/outlier_fraction_cata_bin_3': 0.05720379948616028, 'redshifts/outlier_fraction_cata_bin_4': 0.05888157710433006, 'redshifts/outlier_fraction_cata_bin_5': 0.017001206055283546}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1434/1563 [2:15:58<13:56, 6.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([89984.])\n", + "total num of pts: tensor([32527., 21901., 9116., 5160., 3043., 18237.])\n", + "{'redshifts/bias_abs': 0.07516919076442719, 'redshifts/bias_abs_bin_0': 0.14454174041748047, 'redshifts/bias_abs_bin_1': 0.08971808105707169, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004499569535255432, 'redshifts/bias_bin_0': 0.02829381637275219, 'redshifts/bias_bin_1': 0.010441378690302372, 'redshifts/bias_bin_2': -0.0018518593860790133, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0003142058849334717, 'redshifts/mse': 0.30983877182006836, 'redshifts/mse_bin_0': 0.4346143305301666, 'redshifts/mse_bin_1': 0.3592022955417633, 'redshifts/mse_bin_2': 0.2946769595146179, 'redshifts/mse_bin_3': 0.21892118453979492, 'redshifts/mse_bin_4': 0.2328449934720993, 'redshifts/mse_bin_5': 0.07416118681430817, 'redshifts/nmad': 0.11119663715362549, 'redshifts/nmad_bin_0': 0.2109871208667755, 'redshifts/nmad_bin_1': 0.13277724385261536, 'redshifts/nmad_bin_2': 0.08689671754837036, 'redshifts/nmad_bin_3': 0.07031447440385818, 'redshifts/nmad_bin_4': 0.06402432173490524, 'redshifts/nmad_bin_5': 0.03502101078629494, 'redshifts/outlier_fraction': 0.324491024017334, 'redshifts/outlier_fraction_bin_0': 0.48790234327316284, 'redshifts/outlier_fraction_bin_1': 0.35363683104515076, 'redshifts/outlier_fraction_bin_2': 0.25460729002952576, 'redshifts/outlier_fraction_bin_3': 0.19825580716133118, 'redshifts/outlier_fraction_bin_4': 0.1886296421289444, 'redshifts/outlier_fraction_bin_5': 0.09135274589061737, 'redshifts/outlier_fraction_cata': 0.08759334683418274, 'redshifts/outlier_fraction_cata_bin_0': 0.1305069625377655, 'redshifts/outlier_fraction_cata_bin_1': 0.0977124348282814, 'redshifts/outlier_fraction_cata_bin_2': 0.078214131295681, 'redshifts/outlier_fraction_cata_bin_3': 0.05717054381966591, 'redshifts/outlier_fraction_cata_bin_4': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_5': 0.01699841022491455}\n", + "total num of pts: tensor([90035.])\n", + "total num of pts: tensor([32547., 21910., 9121., 5164., 3045., 18248.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1435/1563 [2:16:03<13:06, 6.14s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0751485601067543, 'redshifts/bias_abs_bin_0': 0.1445392370223999, 'redshifts/bias_abs_bin_1': 0.08972189575433731, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023579588159918785, 'redshifts/bias': 0.0044891368597745895, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010392154566943645, 'redshifts/bias_bin_2': -0.0018820632249116898, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00031069244141690433, 'redshifts/mse': 0.30975446105003357, 'redshifts/mse_bin_0': 0.43449556827545166, 'redshifts/mse_bin_1': 0.35919415950775146, 'redshifts/mse_bin_2': 0.2945356070995331, 'redshifts/mse_bin_3': 0.21875976026058197, 'redshifts/mse_bin_4': 0.23269391059875488, 'redshifts/mse_bin_5': 0.07412178069353104, 'redshifts/nmad': 0.11120670288801193, 'redshifts/nmad_bin_0': 0.2109682708978653, 'redshifts/nmad_bin_1': 0.13280721008777618, 'redshifts/nmad_bin_2': 0.08692999929189682, 'redshifts/nmad_bin_3': 0.07027272880077362, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.035009026527404785, 'redshifts/outlier_fraction': 0.3244738280773163, 'redshifts/outlier_fraction_bin_0': 0.48787906765937805, 'redshifts/outlier_fraction_bin_1': 0.35367411375045776, 'redshifts/outlier_fraction_bin_2': 0.2545773386955261, 'redshifts/outlier_fraction_bin_3': 0.19810225069522858, 'redshifts/outlier_fraction_bin_4': 0.18850575387477875, 'redshifts/outlier_fraction_bin_5': 0.09135247766971588, 'redshifts/outlier_fraction_cata': 0.08755484223365784, 'redshifts/outlier_fraction_cata_bin_0': 0.13042676448822021, 'redshifts/outlier_fraction_cata_bin_1': 0.09771793335676193, 'redshifts/outlier_fraction_cata_bin_2': 0.0781712532043457, 'redshifts/outlier_fraction_cata_bin_3': 0.057126257568597794, 'redshifts/outlier_fraction_cata_bin_4': 0.05878489464521408, 'redshifts/outlier_fraction_cata_bin_5': 0.01698816381394863}\n", + "total num of pts: tensor([90081.])\n", + "total num of pts: tensor([32567., 21922., 9126., 5167., 3046., 18253.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1436/1563 [2:16:09<13:03, 6.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07514804601669312, 'redshifts/bias_abs_bin_0': 0.14454174041748047, 'redshifts/bias_abs_bin_1': 0.08971700817346573, 'redshifts/bias_abs_bin_2': 0.05876940116286278, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023579588159918785, 'redshifts/bias': 0.004498267080634832, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.00188361294567585, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00031069244141690433, 'redshifts/mse': 0.30975568294525146, 'redshifts/mse_bin_0': 0.4345134496688843, 'redshifts/mse_bin_1': 0.35921308398246765, 'redshifts/mse_bin_2': 0.29439690709114075, 'redshifts/mse_bin_3': 0.21863964200019836, 'redshifts/mse_bin_4': 0.23261775076389313, 'redshifts/mse_bin_5': 0.07410785555839539, 'redshifts/nmad': 0.11119316518306732, 'redshifts/nmad_bin_0': 0.2109893411397934, 'redshifts/nmad_bin_1': 0.1327558159828186, 'redshifts/nmad_bin_2': 0.08693227916955948, 'redshifts/nmad_bin_3': 0.07026642560958862, 'redshifts/nmad_bin_4': 0.0638580396771431, 'redshifts/nmad_bin_5': 0.035009026527404785, 'redshifts/outlier_fraction': 0.3244968354701996, 'redshifts/outlier_fraction_bin_0': 0.4879172146320343, 'redshifts/outlier_fraction_bin_1': 0.35366299748420715, 'redshifts/outlier_fraction_bin_2': 0.25454744696617126, 'redshifts/outlier_fraction_bin_3': 0.19798722863197327, 'redshifts/outlier_fraction_bin_4': 0.1884438544511795, 'redshifts/outlier_fraction_bin_5': 0.09138223528862, 'redshifts/outlier_fraction_cata': 0.08755453675985336, 'redshifts/outlier_fraction_cata_bin_0': 0.13040807843208313, 'redshifts/outlier_fraction_cata_bin_1': 0.09775567799806595, 'redshifts/outlier_fraction_cata_bin_2': 0.07812842726707458, 'redshifts/outlier_fraction_cata_bin_3': 0.05709309130907059, 'redshifts/outlier_fraction_cata_bin_4': 0.05876559391617775, 'redshifts/outlier_fraction_cata_bin_5': 0.016983509063720703}\n", + "total num of pts: tensor([90129.])\n", + "total num of pts: tensor([32590., 21934., 9128., 5170., 3047., 18260.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1437/1563 [2:16:14<11:46, 5.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0751587301492691, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.08972189575433731, 'redshifts/bias_abs_bin_2': 0.05876940116286278, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.0044937413185834885, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010412849485874176, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00030684733064845204, 'redshifts/mse': 0.30969491600990295, 'redshifts/mse_bin_0': 0.4344082176685333, 'redshifts/mse_bin_1': 0.3591206967830658, 'redshifts/mse_bin_2': 0.294356107711792, 'redshifts/mse_bin_3': 0.218528151512146, 'redshifts/mse_bin_4': 0.23254144191741943, 'redshifts/mse_bin_5': 0.07409296184778214, 'redshifts/nmad': 0.11119987070560455, 'redshifts/nmad_bin_0': 0.21078485250473022, 'redshifts/nmad_bin_1': 0.13280372321605682, 'redshifts/nmad_bin_2': 0.0869467556476593, 'redshifts/nmad_bin_3': 0.07026642560958862, 'redshifts/nmad_bin_4': 0.06385184824466705, 'redshifts/nmad_bin_5': 0.03501009941101074, 'redshifts/outlier_fraction': 0.3245237469673157, 'redshifts/outlier_fraction_bin_0': 0.48784902691841125, 'redshifts/outlier_fraction_bin_1': 0.3537886440753937, 'redshifts/outlier_fraction_bin_2': 0.25460124015808105, 'redshifts/outlier_fraction_bin_3': 0.1978723406791687, 'redshifts/outlier_fraction_bin_4': 0.18838201463222504, 'redshifts/outlier_fraction_bin_5': 0.09140197187662125, 'redshifts/outlier_fraction_cata': 0.08753009885549545, 'redshifts/outlier_fraction_cata_bin_0': 0.1303774118423462, 'redshifts/outlier_fraction_cata_bin_1': 0.09770219773054123, 'redshifts/outlier_fraction_cata_bin_2': 0.07811130583286285, 'redshifts/outlier_fraction_cata_bin_3': 0.057059962302446365, 'redshifts/outlier_fraction_cata_bin_4': 0.05874630808830261, 'redshifts/outlier_fraction_cata_bin_5': 0.01697699911892414}\n", + "total num of pts: tensor([90192.])\n", + "total num of pts: tensor([32610., 21947., 9138., 5177., 3049., 18271.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1438/1563 [2:16:19<11:41, 5.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0751415491104126, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.0897248163819313, 'redshifts/bias_abs_bin_2': 0.05876940116286278, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023580757901072502, 'redshifts/bias': 0.004492044448852539, 'redshifts/bias_bin_0': 0.02830563299357891, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.0002857233921531588, 'redshifts/mse': 0.30971047282218933, 'redshifts/mse_bin_0': 0.43452170491218567, 'redshifts/mse_bin_1': 0.3592185378074646, 'redshifts/mse_bin_2': 0.2940449118614197, 'redshifts/mse_bin_3': 0.2185182124376297, 'redshifts/mse_bin_4': 0.23240403831005096, 'redshifts/mse_bin_5': 0.07405291497707367, 'redshifts/nmad': 0.11118216812610626, 'redshifts/nmad_bin_0': 0.21076323091983795, 'redshifts/nmad_bin_1': 0.13281646370887756, 'redshifts/nmad_bin_2': 0.0869467556476593, 'redshifts/nmad_bin_3': 0.07033270597457886, 'redshifts/nmad_bin_4': 0.0639600157737732, 'redshifts/nmad_bin_5': 0.03501654788851738, 'redshifts/outlier_fraction': 0.3244744539260864, 'redshifts/outlier_fraction_bin_0': 0.48776447772979736, 'redshifts/outlier_fraction_bin_1': 0.35385245084762573, 'redshifts/outlier_fraction_bin_2': 0.2543226182460785, 'redshifts/outlier_fraction_bin_3': 0.1981842815876007, 'redshifts/outlier_fraction_bin_4': 0.18825843930244446, 'redshifts/outlier_fraction_bin_5': 0.09134694188833237, 'redshifts/outlier_fraction_cata': 0.08753547817468643, 'redshifts/outlier_fraction_cata_bin_0': 0.13038945198059082, 'redshifts/outlier_fraction_cata_bin_1': 0.0977354571223259, 'redshifts/outlier_fraction_cata_bin_2': 0.07802582532167435, 'redshifts/outlier_fraction_cata_bin_3': 0.05717597156763077, 'redshifts/outlier_fraction_cata_bin_4': 0.05870777368545532, 'redshifts/outlier_fraction_cata_bin_5': 0.01696677878499031}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1439/1563 [2:16:25<11:27, 5.55s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([90251.])\n", + "total num of pts: tensor([32627., 21959., 9148., 5180., 3053., 18284.])\n", + "{'redshifts/bias_abs': 0.07516919076442719, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.08978765457868576, 'redshifts/bias_abs_bin_2': 0.05880463868379593, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023579731583595276, 'redshifts/bias': 0.0044848076067864895, 'redshifts/bias_bin_0': 0.02834409475326538, 'redshifts/bias_bin_1': 0.010412849485874176, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00027564167976379395, 'redshifts/mse': 0.30971279740333557, 'redshifts/mse_bin_0': 0.43451401591300964, 'redshifts/mse_bin_1': 0.3591006398200989, 'redshifts/mse_bin_2': 0.2942693829536438, 'redshifts/mse_bin_3': 0.21844470500946045, 'redshifts/mse_bin_4': 0.23251961171627045, 'redshifts/mse_bin_5': 0.07416853308677673, 'redshifts/nmad': 0.11122062057256699, 'redshifts/nmad_bin_0': 0.2108003944158554, 'redshifts/nmad_bin_1': 0.13284076750278473, 'redshifts/nmad_bin_2': 0.08694678544998169, 'redshifts/nmad_bin_3': 0.07034425437450409, 'redshifts/nmad_bin_4': 0.06409122049808502, 'redshifts/nmad_bin_5': 0.035006940364837646, 'redshifts/outlier_fraction': 0.32446178793907166, 'redshifts/outlier_fraction_bin_0': 0.48769423365592957, 'redshifts/outlier_fraction_bin_1': 0.35384124517440796, 'redshifts/outlier_fraction_bin_2': 0.2542632222175598, 'redshifts/outlier_fraction_bin_3': 0.1982625424861908, 'redshifts/outlier_fraction_bin_4': 0.18866688013076782, 'redshifts/outlier_fraction_bin_5': 0.09144607186317444, 'redshifts/outlier_fraction_cata': 0.08754473924636841, 'redshifts/outlier_fraction_cata_bin_0': 0.13038280606269836, 'redshifts/outlier_fraction_cata_bin_1': 0.09768204391002655, 'redshifts/outlier_fraction_cata_bin_2': 0.0781591609120369, 'redshifts/outlier_fraction_cata_bin_3': 0.05714285746216774, 'redshifts/outlier_fraction_cata_bin_4': 0.058958400040864944, 'redshifts/outlier_fraction_cata_bin_5': 0.01700940728187561}\n", + "total num of pts: tensor([90302.])\n", + "total num of pts: tensor([32652., 21966., 9154., 5185., 3055., 18290.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1440/1563 [2:16:31<11:34, 5.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07513879239559174, 'redshifts/bias_abs_bin_0': 0.14440324902534485, 'redshifts/bias_abs_bin_1': 0.0897248163819313, 'redshifts/bias_abs_bin_2': 0.058727897703647614, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023579588159918785, 'redshifts/bias': 0.004475229419767857, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010392154566943645, 'redshifts/bias_bin_2': -0.00188361294567585, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0002857233921531588, 'redshifts/mse': 0.3096443712711334, 'redshifts/mse_bin_0': 0.4344542920589447, 'redshifts/mse_bin_1': 0.3590123653411865, 'redshifts/mse_bin_2': 0.29408106207847595, 'redshifts/mse_bin_3': 0.21823982894420624, 'redshifts/mse_bin_4': 0.23236949741840363, 'redshifts/mse_bin_5': 0.07414668798446655, 'redshifts/nmad': 0.11119043081998825, 'redshifts/nmad_bin_0': 0.21072345972061157, 'redshifts/nmad_bin_1': 0.13282877206802368, 'redshifts/nmad_bin_2': 0.08688019216060638, 'redshifts/nmad_bin_3': 0.07026642560958862, 'redshifts/nmad_bin_4': 0.06402432173490524, 'redshifts/nmad_bin_5': 0.0349956713616848, 'redshifts/outlier_fraction': 0.32441142201423645, 'redshifts/outlier_fraction_bin_0': 0.4876270890235901, 'redshifts/outlier_fraction_bin_1': 0.3538195490837097, 'redshifts/outlier_fraction_bin_2': 0.2540965676307678, 'redshifts/outlier_fraction_bin_3': 0.19807136058807373, 'redshifts/outlier_fraction_bin_4': 0.18854336440563202, 'redshifts/outlier_fraction_bin_5': 0.09141607582569122, 'redshifts/outlier_fraction_cata': 0.08752851188182831, 'redshifts/outlier_fraction_cata_bin_0': 0.13037486374378204, 'redshifts/outlier_fraction_cata_bin_1': 0.0976509153842926, 'redshifts/outlier_fraction_cata_bin_2': 0.07810793071985245, 'redshifts/outlier_fraction_cata_bin_3': 0.05708775296807289, 'redshifts/outlier_fraction_cata_bin_4': 0.05891980230808258, 'redshifts/outlier_fraction_cata_bin_5': 0.017003826797008514}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1441/1563 [2:16:35<10:53, 5.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([90355.])\n", + "total num of pts: tensor([32674., 21974., 9157., 5188., 3057., 18305.])\n", + "{'redshifts/bias_abs': 0.07514718174934387, 'redshifts/bias_abs_bin_0': 0.14443564414978027, 'redshifts/bias_abs_bin_1': 0.08973637223243713, 'redshifts/bias_abs_bin_2': 0.05869872868061066, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023589352145791054, 'redshifts/bias': 0.004472214262932539, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0018820632249116898, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00027933716773986816, 'redshifts/mse': 0.30973848700523376, 'redshifts/mse_bin_0': 0.4347294569015503, 'redshifts/mse_bin_1': 0.3591369390487671, 'redshifts/mse_bin_2': 0.29398539662361145, 'redshifts/mse_bin_3': 0.21814051270484924, 'redshifts/mse_bin_4': 0.23227466642856598, 'redshifts/mse_bin_5': 0.07410994917154312, 'redshifts/nmad': 0.11120492219924927, 'redshifts/nmad_bin_0': 0.21074001491069794, 'redshifts/nmad_bin_1': 0.13283231854438782, 'redshifts/nmad_bin_2': 0.08685193955898285, 'redshifts/nmad_bin_3': 0.07026642560958862, 'redshifts/nmad_bin_4': 0.06409122049808502, 'redshifts/nmad_bin_5': 0.035029008984565735, 'redshifts/outlier_fraction': 0.32444247603416443, 'redshifts/outlier_fraction_bin_0': 0.48769664764404297, 'redshifts/outlier_fraction_bin_1': 0.35378172993659973, 'redshifts/outlier_fraction_bin_2': 0.254013329744339, 'redshifts/outlier_fraction_bin_3': 0.19814957678318024, 'redshifts/outlier_fraction_bin_4': 0.18874713778495789, 'redshifts/outlier_fraction_bin_5': 0.09150505065917969, 'redshifts/outlier_fraction_cata': 0.08756571263074875, 'redshifts/outlier_fraction_cata_bin_0': 0.13050131499767303, 'redshifts/outlier_fraction_cata_bin_1': 0.09766086935997009, 'redshifts/outlier_fraction_cata_bin_2': 0.07808233797550201, 'redshifts/outlier_fraction_cata_bin_3': 0.05705474317073822, 'redshifts/outlier_fraction_cata_bin_4': 0.058881256729364395, 'redshifts/outlier_fraction_cata_bin_5': 0.016989894211292267}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1442/1563 [2:16:40<10:25, 5.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([90424.])\n", + "total num of pts: tensor([32695., 21992., 9164., 5189., 3058., 18326.])\n", + "{'redshifts/bias_abs': 0.07513803988695145, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.08978765457868576, 'redshifts/bias_abs_bin_2': 0.05869210883975029, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023580757901072502, 'redshifts/bias': 0.004453195258975029, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00027111172676086426, 'redshifts/mse': 0.3097682297229767, 'redshifts/mse_bin_0': 0.43484124541282654, 'redshifts/mse_bin_1': 0.35929661989212036, 'redshifts/mse_bin_2': 0.2938482165336609, 'redshifts/mse_bin_3': 0.218110591173172, 'redshifts/mse_bin_4': 0.23228175938129425, 'redshifts/mse_bin_5': 0.07403536140918732, 'redshifts/nmad': 0.11120224744081497, 'redshifts/nmad_bin_0': 0.21074849367141724, 'redshifts/nmad_bin_1': 0.13285037875175476, 'redshifts/nmad_bin_2': 0.0867549404501915, 'redshifts/nmad_bin_3': 0.07034425437450409, 'redshifts/nmad_bin_4': 0.06409122049808502, 'redshifts/nmad_bin_5': 0.03501388430595398, 'redshifts/outlier_fraction': 0.32446032762527466, 'redshifts/outlier_fraction_bin_0': 0.4877198338508606, 'redshifts/outlier_fraction_bin_1': 0.3539014160633087, 'redshifts/outlier_fraction_bin_2': 0.25392842292785645, 'redshifts/outlier_fraction_bin_3': 0.19830410182476044, 'redshifts/outlier_fraction_bin_4': 0.18901242315769196, 'redshifts/outlier_fraction_bin_5': 0.09145476669073105, 'redshifts/outlier_fraction_cata': 0.08757630735635757, 'redshifts/outlier_fraction_cata_bin_0': 0.13050925731658936, 'redshifts/outlier_fraction_cata_bin_1': 0.0977628231048584, 'redshifts/outlier_fraction_cata_bin_2': 0.07802269607782364, 'redshifts/outlier_fraction_cata_bin_3': 0.05704374611377716, 'redshifts/outlier_fraction_cata_bin_4': 0.058862000703811646, 'redshifts/outlier_fraction_cata_bin_5': 0.016970423981547356}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1443/1563 [2:16:44<09:46, 4.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([90472.])\n", + "total num of pts: tensor([32708., 22005., 9167., 5192., 3060., 18340.])\n", + "{'redshifts/bias_abs': 0.07513313740491867, 'redshifts/bias_abs_bin_0': 0.14449003338813782, 'redshifts/bias_abs_bin_1': 0.08978859335184097, 'redshifts/bias_abs_bin_2': 0.05869210883975029, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004453195258975029, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0018933807732537389, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.3096974492073059, 'redshifts/mse_bin_0': 0.4348740875720978, 'redshifts/mse_bin_1': 0.35915467143058777, 'redshifts/mse_bin_2': 0.2937549948692322, 'redshifts/mse_bin_3': 0.2179877609014511, 'redshifts/mse_bin_4': 0.2321305274963379, 'redshifts/mse_bin_5': 0.0739869698882103, 'redshifts/nmad': 0.1111852377653122, 'redshifts/nmad_bin_0': 0.21074546873569489, 'redshifts/nmad_bin_1': 0.13285037875175476, 'redshifts/nmad_bin_2': 0.0867549404501915, 'redshifts/nmad_bin_3': 0.07033270597457886, 'redshifts/nmad_bin_4': 0.0640181303024292, 'redshifts/nmad_bin_5': 0.03501871973276138, 'redshifts/outlier_fraction': 0.3244208097457886, 'redshifts/outlier_fraction_bin_0': 0.4878011643886566, 'redshifts/outlier_fraction_bin_1': 0.3537832200527191, 'redshifts/outlier_fraction_bin_2': 0.25384530425071716, 'redshifts/outlier_fraction_bin_3': 0.19818952679634094, 'redshifts/outlier_fraction_bin_4': 0.18888889253139496, 'redshifts/outlier_fraction_bin_5': 0.09143947809934616, 'redshifts/outlier_fraction_cata': 0.08755195140838623, 'redshifts/outlier_fraction_cata_bin_0': 0.13051852583885193, 'redshifts/outlier_fraction_cata_bin_1': 0.09770506620407104, 'redshifts/outlier_fraction_cata_bin_2': 0.07799716293811798, 'redshifts/outlier_fraction_cata_bin_3': 0.05701078474521637, 'redshifts/outlier_fraction_cata_bin_4': 0.05882352963089943, 'redshifts/outlier_fraction_cata_bin_5': 0.016957469284534454}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1444/1563 [2:16:49<09:30, 4.79s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([90537.])\n", + "total num of pts: tensor([32729., 22021., 9173., 5197., 3062., 18355.])\n", + "{'redshifts/bias_abs': 0.0751415491104126, 'redshifts/bias_abs_bin_0': 0.1445392370223999, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05869210883975029, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023583725094795227, 'redshifts/bias': 0.004440170247107744, 'redshifts/bias_bin_0': 0.02825101651251316, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.001932094688527286, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.30988186597824097, 'redshifts/mse_bin_0': 0.435162752866745, 'redshifts/mse_bin_1': 0.3591621220111847, 'redshifts/mse_bin_2': 0.29367199540138245, 'redshifts/mse_bin_3': 0.2185935229063034, 'redshifts/mse_bin_4': 0.23197932541370392, 'redshifts/mse_bin_5': 0.07431304454803467, 'redshifts/nmad': 0.11121167242527008, 'redshifts/nmad_bin_0': 0.21089191734790802, 'redshifts/nmad_bin_1': 0.13291196525096893, 'redshifts/nmad_bin_2': 0.08671439439058304, 'redshifts/nmad_bin_3': 0.07047540694475174, 'redshifts/nmad_bin_4': 0.06392307579517365, 'redshifts/nmad_bin_5': 0.03501871973276138, 'redshifts/outlier_fraction': 0.3245413601398468, 'redshifts/outlier_fraction_bin_0': 0.48791590332984924, 'redshifts/outlier_fraction_bin_1': 0.3539348840713501, 'redshifts/outlier_fraction_bin_2': 0.2540063261985779, 'redshifts/outlier_fraction_bin_3': 0.19819127023220062, 'redshifts/outlier_fraction_bin_4': 0.1887655109167099, 'redshifts/outlier_fraction_bin_5': 0.09163715690374374, 'redshifts/outlier_fraction_cata': 0.08762163668870926, 'redshifts/outlier_fraction_cata_bin_0': 0.13067921996116638, 'redshifts/outlier_fraction_cata_bin_1': 0.09772489964962006, 'redshifts/outlier_fraction_cata_bin_2': 0.07794614881277084, 'redshifts/outlier_fraction_cata_bin_3': 0.05714835599064827, 'redshifts/outlier_fraction_cata_bin_4': 0.05878510698676109, 'redshifts/outlier_fraction_cata_bin_5': 0.01699809357523918}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 92%|█████████▏| 1445/1563 [2:16:54<09:27, 4.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([90598.])\n", + "total num of pts: tensor([32747., 22035., 9178., 5206., 3067., 18365.])\n", + "{'redshifts/bias_abs': 0.07513879239559174, 'redshifts/bias_abs_bin_0': 0.1445392370223999, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.05869872868061066, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02357800491154194, 'redshifts/bias': 0.004424875136464834, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.0019341176375746727, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00026858950150199234, 'redshifts/mse': 0.30990472435951233, 'redshifts/mse_bin_0': 0.43503910303115845, 'redshifts/mse_bin_1': 0.35949626564979553, 'redshifts/mse_bin_2': 0.29379481077194214, 'redshifts/mse_bin_3': 0.21825236082077026, 'redshifts/mse_bin_4': 0.23169665038585663, 'redshifts/mse_bin_5': 0.07436590641736984, 'redshifts/nmad': 0.1112038716673851, 'redshifts/nmad_bin_0': 0.21087823808193207, 'redshifts/nmad_bin_1': 0.13294339179992676, 'redshifts/nmad_bin_2': 0.08672243356704712, 'redshifts/nmad_bin_3': 0.07039697468280792, 'redshifts/nmad_bin_4': 0.06402432173490524, 'redshifts/nmad_bin_5': 0.03499648720026016, 'redshifts/outlier_fraction': 0.3245546221733093, 'redshifts/outlier_fraction_bin_0': 0.4879225492477417, 'redshifts/outlier_fraction_bin_1': 0.3540276885032654, 'redshifts/outlier_fraction_bin_2': 0.2539769113063812, 'redshifts/outlier_fraction_bin_3': 0.19804072380065918, 'redshifts/outlier_fraction_bin_4': 0.18910987675189972, 'redshifts/outlier_fraction_bin_5': 0.09164170920848846, 'redshifts/outlier_fraction_cata': 0.08762886375188828, 'redshifts/outlier_fraction_cata_bin_0': 0.13063791394233704, 'redshifts/outlier_fraction_cata_bin_1': 0.09779895842075348, 'redshifts/outlier_fraction_cata_bin_2': 0.07801263779401779, 'redshifts/outlier_fraction_cata_bin_3': 0.05704955756664276, 'redshifts/outlier_fraction_cata_bin_4': 0.05868927389383316, 'redshifts/outlier_fraction_cata_bin_5': 0.01704328879714012}\n", + "total num of pts: tensor([90666.])\n", + "total num of pts: tensor([32775., 22052., 9184., 5208., 3069., 18378.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1446/1563 [2:17:00<10:19, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07513879239559174, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.08988971263170242, 'redshifts/bias_abs_bin_2': 0.058727897703647614, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023571383208036423, 'redshifts/bias': 0.004416614770889282, 'redshifts/bias_bin_0': 0.028234682977199554, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00026858950150199234, 'redshifts/mse': 0.3099082410335541, 'redshifts/mse_bin_0': 0.4349532127380371, 'redshifts/mse_bin_1': 0.3595047891139984, 'redshifts/mse_bin_2': 0.29370254278182983, 'redshifts/mse_bin_3': 0.21817030012607574, 'redshifts/mse_bin_4': 0.23306308686733246, 'redshifts/mse_bin_5': 0.07432108372449875, 'redshifts/nmad': 0.11120611429214478, 'redshifts/nmad_bin_0': 0.21079565584659576, 'redshifts/nmad_bin_1': 0.13292771577835083, 'redshifts/nmad_bin_2': 0.0867651030421257, 'redshifts/nmad_bin_3': 0.07035976648330688, 'redshifts/nmad_bin_4': 0.06402432173490524, 'redshifts/nmad_bin_5': 0.03499114513397217, 'redshifts/outlier_fraction': 0.3245207667350769, 'redshifts/outlier_fraction_bin_0': 0.48787185549736023, 'redshifts/outlier_fraction_bin_1': 0.35398149490356445, 'redshifts/outlier_fraction_bin_2': 0.2539198696613312, 'redshifts/outlier_fraction_bin_3': 0.19796466827392578, 'redshifts/outlier_fraction_bin_4': 0.18931247293949127, 'redshifts/outlier_fraction_bin_5': 0.09157688170671463, 'redshifts/outlier_fraction_cata': 0.08764035254716873, 'redshifts/outlier_fraction_cata_bin_0': 0.13064835965633392, 'redshifts/outlier_fraction_cata_bin_1': 0.09781425446271896, 'redshifts/outlier_fraction_cata_bin_2': 0.07796167582273483, 'redshifts/outlier_fraction_cata_bin_3': 0.05702764913439751, 'redshifts/outlier_fraction_cata_bin_4': 0.05897686630487442, 'redshifts/outlier_fraction_cata_bin_5': 0.0170312337577343}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1447/1563 [2:17:05<10:02, 5.20s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([90716.])\n", + "total num of pts: tensor([32790., 22063., 9195., 5211., 3069., 18388.])\n", + "{'redshifts/bias_abs': 0.07514131814241409, 'redshifts/bias_abs_bin_0': 0.1445392370223999, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05869872868061066, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02355615422129631, 'redshifts/bias': 0.004416614770889282, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00027111172676086426, 'redshifts/mse': 0.3099322021007538, 'redshifts/mse_bin_0': 0.43504753708839417, 'redshifts/mse_bin_1': 0.35947170853614807, 'redshifts/mse_bin_2': 0.29370152950286865, 'redshifts/mse_bin_3': 0.2183522880077362, 'redshifts/mse_bin_4': 0.23306308686733246, 'redshifts/mse_bin_5': 0.07428088039159775, 'redshifts/nmad': 0.11120611429214478, 'redshifts/nmad_bin_0': 0.21081162989139557, 'redshifts/nmad_bin_1': 0.1329648196697235, 'redshifts/nmad_bin_2': 0.08674396574497223, 'redshifts/nmad_bin_3': 0.07041238248348236, 'redshifts/nmad_bin_4': 0.06402432173490524, 'redshifts/nmad_bin_5': 0.034956227988004684, 'redshifts/outlier_fraction': 0.32454031705856323, 'redshifts/outlier_fraction_bin_0': 0.48795363306999207, 'redshifts/outlier_fraction_bin_1': 0.3539409935474396, 'redshifts/outlier_fraction_bin_2': 0.2539423704147339, 'redshifts/outlier_fraction_bin_3': 0.19823449850082397, 'redshifts/outlier_fraction_bin_4': 0.18931247293949127, 'redshifts/outlier_fraction_bin_5': 0.09152708202600479, 'redshifts/outlier_fraction_cata': 0.08764716237783432, 'redshifts/outlier_fraction_cata_bin_0': 0.13064958155155182, 'redshifts/outlier_fraction_cata_bin_1': 0.09781081229448318, 'redshifts/outlier_fraction_cata_bin_2': 0.07797715812921524, 'redshifts/outlier_fraction_cata_bin_3': 0.05718671903014183, 'redshifts/outlier_fraction_cata_bin_4': 0.05897686630487442, 'redshifts/outlier_fraction_cata_bin_5': 0.017021970823407173}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1448/1563 [2:17:10<09:42, 5.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([90773.])\n", + "total num of pts: tensor([32809., 22077., 9200., 5213., 3070., 18404.])\n", + "{'redshifts/bias_abs': 0.0751209557056427, 'redshifts/bias_abs_bin_0': 0.14449003338813782, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05866454541683197, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.0044107139110565186, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00027111172676086426, 'redshifts/mse': 0.3099382221698761, 'redshifts/mse_bin_0': 0.43489885330200195, 'redshifts/mse_bin_1': 0.35945644974708557, 'redshifts/mse_bin_2': 0.2935432493686676, 'redshifts/mse_bin_3': 0.2201661318540573, 'redshifts/mse_bin_4': 0.23298804461956024, 'redshifts/mse_bin_5': 0.0742281973361969, 'redshifts/nmad': 0.11116072535514832, 'redshifts/nmad_bin_0': 0.21077467501163483, 'redshifts/nmad_bin_1': 0.13298636674880981, 'redshifts/nmad_bin_2': 0.08664291352033615, 'redshifts/nmad_bin_3': 0.07047444581985474, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.034950342029333115, 'redshifts/outlier_fraction': 0.32450178265571594, 'redshifts/outlier_fraction_bin_0': 0.4878234565258026, 'redshifts/outlier_fraction_bin_1': 0.35403361916542053, 'redshifts/outlier_fraction_bin_2': 0.25380435585975647, 'redshifts/outlier_fraction_bin_3': 0.19854210317134857, 'redshifts/outlier_fraction_bin_4': 0.18925081193447113, 'redshifts/outlier_fraction_bin_5': 0.09150184690952301, 'redshifts/outlier_fraction_cata': 0.08763618767261505, 'redshifts/outlier_fraction_cata_bin_0': 0.13060440123081207, 'redshifts/outlier_fraction_cata_bin_1': 0.09779408574104309, 'redshifts/outlier_fraction_cata_bin_2': 0.07793477922677994, 'redshifts/outlier_fraction_cata_bin_3': 0.057548437267541885, 'redshifts/outlier_fraction_cata_bin_4': 0.05895765498280525, 'redshifts/outlier_fraction_cata_bin_5': 0.017007172107696533}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1449/1563 [2:17:14<09:21, 4.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([90828.])\n", + "total num of pts: tensor([32829., 22085., 9204., 5215., 3072., 18423.])\n", + "{'redshifts/bias_abs': 0.07511204481124878, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.08997008949518204, 'redshifts/bias_abs_bin_2': 0.05866442248225212, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023558367043733597, 'redshifts/bias': 0.004411892034113407, 'redshifts/bias_bin_0': 0.02823992632329464, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.3098609149456024, 'redshifts/mse_bin_0': 0.4347648024559021, 'redshifts/mse_bin_1': 0.35953208804130554, 'redshifts/mse_bin_2': 0.29342085123062134, 'redshifts/mse_bin_3': 0.22008304297924042, 'redshifts/mse_bin_4': 0.23283801972866058, 'redshifts/mse_bin_5': 0.07421261072158813, 'redshifts/nmad': 0.11114823073148727, 'redshifts/nmad_bin_0': 0.21066582202911377, 'redshifts/nmad_bin_1': 0.13301140069961548, 'redshifts/nmad_bin_2': 0.08662031590938568, 'redshifts/nmad_bin_3': 0.07044834643602371, 'redshifts/nmad_bin_4': 0.06387079507112503, 'redshifts/nmad_bin_5': 0.03495834395289421, 'redshifts/outlier_fraction': 0.32448142766952515, 'redshifts/outlier_fraction_bin_0': 0.4877395033836365, 'redshifts/outlier_fraction_bin_1': 0.3541317582130432, 'redshifts/outlier_fraction_bin_2': 0.2536940574645996, 'redshifts/outlier_fraction_bin_3': 0.198465958237648, 'redshifts/outlier_fraction_bin_4': 0.1891276091337204, 'redshifts/outlier_fraction_bin_5': 0.09162460267543793, 'redshifts/outlier_fraction_cata': 0.08760514110326767, 'redshifts/outlier_fraction_cata_bin_0': 0.13055530190467834, 'redshifts/outlier_fraction_cata_bin_1': 0.09780394285917282, 'redshifts/outlier_fraction_cata_bin_2': 0.07790091633796692, 'redshifts/outlier_fraction_cata_bin_3': 0.0575263649225235, 'redshifts/outlier_fraction_cata_bin_4': 0.0589192695915699, 'redshifts/outlier_fraction_cata_bin_5': 0.016989633440971375}\n", + "total num of pts: tensor([90885.])\n", + "total num of pts: tensor([32846., 22099., 9211., 5219., 3073., 18437.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1450/1563 [2:17:19<09:20, 4.96s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07511720806360245, 'redshifts/bias_abs_bin_0': 0.14449003338813782, 'redshifts/bias_abs_bin_1': 0.08995891362428665, 'redshifts/bias_abs_bin_2': 0.05864787846803665, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023550275713205338, 'redshifts/bias': 0.004412703216075897, 'redshifts/bias_bin_0': 0.02825101651251316, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.0019628999289125204, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.30989164113998413, 'redshifts/mse_bin_0': 0.4349178075790405, 'redshifts/mse_bin_1': 0.359492689371109, 'redshifts/mse_bin_2': 0.29332050681114197, 'redshifts/mse_bin_3': 0.2203160971403122, 'redshifts/mse_bin_4': 0.23290479183197021, 'redshifts/mse_bin_5': 0.07416749000549316, 'redshifts/nmad': 0.1111559346318245, 'redshifts/nmad_bin_0': 0.21068225800991058, 'redshifts/nmad_bin_1': 0.13296371698379517, 'redshifts/nmad_bin_2': 0.0865941271185875, 'redshifts/nmad_bin_3': 0.07049636542797089, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.03495228290557861, 'redshifts/outlier_fraction': 0.3245199918746948, 'redshifts/outlier_fraction_bin_0': 0.4878219664096832, 'redshifts/outlier_fraction_bin_1': 0.3540884256362915, 'redshifts/outlier_fraction_bin_2': 0.25371837615966797, 'redshifts/outlier_fraction_bin_3': 0.1986970752477646, 'redshifts/outlier_fraction_bin_4': 0.18939147889614105, 'redshifts/outlier_fraction_bin_5': 0.09166350215673447, 'redshifts/outlier_fraction_cata': 0.08762722462415695, 'redshifts/outlier_fraction_cata_bin_0': 0.1306399554014206, 'redshifts/outlier_fraction_cata_bin_1': 0.09778723120689392, 'redshifts/outlier_fraction_cata_bin_2': 0.07784171402454376, 'redshifts/outlier_fraction_cata_bin_3': 0.05767388269305229, 'redshifts/outlier_fraction_cata_bin_4': 0.058900099247694016, 'redshifts/outlier_fraction_cata_bin_5': 0.01697673089802265}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1451/1563 [2:17:27<10:28, 5.62s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([90932.])\n", + "total num of pts: tensor([32858., 22115., 9214., 5221., 3073., 18451.])\n", + "{'redshifts/bias_abs': 0.07512028515338898, 'redshifts/bias_abs_bin_0': 0.1445152759552002, 'redshifts/bias_abs_bin_1': 0.08998534828424454, 'redshifts/bias_abs_bin_2': 0.05861202999949455, 'redshifts/bias_abs_bin_3': 0.04696667194366455, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023558367043733597, 'redshifts/bias': 0.004413503687828779, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.00199555279687047, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0002577905834186822, 'redshifts/mse': 0.3099230229854584, 'redshifts/mse_bin_0': 0.43504825234413147, 'redshifts/mse_bin_1': 0.35956811904907227, 'redshifts/mse_bin_2': 0.2932271361351013, 'redshifts/mse_bin_3': 0.22023223340511322, 'redshifts/mse_bin_4': 0.23290479183197021, 'redshifts/mse_bin_5': 0.07413672655820847, 'redshifts/nmad': 0.11115711182355881, 'redshifts/nmad_bin_0': 0.21069414913654327, 'redshifts/nmad_bin_1': 0.13307100534439087, 'redshifts/nmad_bin_2': 0.08649152517318726, 'redshifts/nmad_bin_3': 0.07047444581985474, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.0349685437977314, 'redshifts/outlier_fraction': 0.32452821731567383, 'redshifts/outlier_fraction_bin_0': 0.48785683512687683, 'redshifts/outlier_fraction_bin_1': 0.3541487753391266, 'redshifts/outlier_fraction_bin_2': 0.2536357641220093, 'redshifts/outlier_fraction_bin_3': 0.1986209601163864, 'redshifts/outlier_fraction_bin_4': 0.18939147889614105, 'redshifts/outlier_fraction_bin_5': 0.09170234948396683, 'redshifts/outlier_fraction_cata': 0.08762592077255249, 'redshifts/outlier_fraction_cata_bin_0': 0.13062268495559692, 'redshifts/outlier_fraction_cata_bin_1': 0.09785213321447372, 'redshifts/outlier_fraction_cata_bin_2': 0.07781636714935303, 'redshifts/outlier_fraction_cata_bin_3': 0.05765179172158241, 'redshifts/outlier_fraction_cata_bin_4': 0.058900099247694016, 'redshifts/outlier_fraction_cata_bin_5': 0.01696385070681572}\n", + "total num of pts: tensor([90990.])\n", + "total num of pts: tensor([32875., 22132., 9219., 5228., 3073., 18463.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1452/1563 [2:17:32<10:02, 5.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07512028515338898, 'redshifts/bias_abs_bin_0': 0.14455822110176086, 'redshifts/bias_abs_bin_1': 0.08995891362428665, 'redshifts/bias_abs_bin_2': 0.05861202999949455, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023558367043733597, 'redshifts/bias': 0.004411892034113407, 'redshifts/bias_bin_0': 0.02829381637275219, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.0019803086761385202, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.30995938181877136, 'redshifts/mse_bin_0': 0.435228168964386, 'redshifts/mse_bin_1': 0.35934147238731384, 'redshifts/mse_bin_2': 0.29307863116264343, 'redshifts/mse_bin_3': 0.2205527126789093, 'redshifts/mse_bin_4': 0.23290479183197021, 'redshifts/mse_bin_5': 0.07428177446126938, 'redshifts/nmad': 0.11115472763776779, 'redshifts/nmad_bin_0': 0.21076734364032745, 'redshifts/nmad_bin_1': 0.13298636674880981, 'redshifts/nmad_bin_2': 0.0864923968911171, 'redshifts/nmad_bin_3': 0.0705522820353508, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.03496868163347244, 'redshifts/outlier_fraction': 0.32455214858055115, 'redshifts/outlier_fraction_bin_0': 0.48803040385246277, 'redshifts/outlier_fraction_bin_1': 0.35401228070259094, 'redshifts/outlier_fraction_bin_2': 0.2534981966018677, 'redshifts/outlier_fraction_bin_3': 0.1989288479089737, 'redshifts/outlier_fraction_bin_4': 0.18939147889614105, 'redshifts/outlier_fraction_bin_5': 0.09169691056013107, 'redshifts/outlier_fraction_cata': 0.08765798807144165, 'redshifts/outlier_fraction_cata_bin_0': 0.13073764741420746, 'redshifts/outlier_fraction_cata_bin_1': 0.09777697175741196, 'redshifts/outlier_fraction_cata_bin_2': 0.07777415961027145, 'redshifts/outlier_fraction_cata_bin_3': 0.05776587501168251, 'redshifts/outlier_fraction_cata_bin_4': 0.058900099247694016, 'redshifts/outlier_fraction_cata_bin_5': 0.01700698770582676}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1453/1563 [2:17:37<09:42, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([91044.])\n", + "total num of pts: tensor([32887., 22148., 9229., 5232., 3078., 18470.])\n", + "{'redshifts/bias_abs': 0.07511086761951447, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.08988971263170242, 'redshifts/bias_abs_bin_2': 0.05858338251709938, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023550275713205338, 'redshifts/bias': 0.004402677062898874, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.0020140097476541996, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.0002425141865387559, 'redshifts/mse': 0.3100459575653076, 'redshifts/mse_bin_0': 0.4351494610309601, 'redshifts/mse_bin_1': 0.3598578870296478, 'redshifts/mse_bin_2': 0.2932543456554413, 'redshifts/mse_bin_3': 0.22040414810180664, 'redshifts/mse_bin_4': 0.23254813253879547, 'redshifts/mse_bin_5': 0.07425739616155624, 'redshifts/nmad': 0.11113300174474716, 'redshifts/nmad_bin_0': 0.21076031029224396, 'redshifts/nmad_bin_1': 0.1329328715801239, 'redshifts/nmad_bin_2': 0.0864107757806778, 'redshifts/nmad_bin_3': 0.07046125829219818, 'redshifts/nmad_bin_4': 0.06390483677387238, 'redshifts/nmad_bin_5': 0.03495248407125473, 'redshifts/outlier_fraction': 0.3245244026184082, 'redshifts/outlier_fraction_bin_0': 0.4880043864250183, 'redshifts/outlier_fraction_bin_1': 0.3540274500846863, 'redshifts/outlier_fraction_bin_2': 0.2534402310848236, 'redshifts/outlier_fraction_bin_3': 0.19896788895130157, 'redshifts/outlier_fraction_bin_4': 0.18908381462097168, 'redshifts/outlier_fraction_bin_5': 0.09171629697084427, 'redshifts/outlier_fraction_cata': 0.08768288046121597, 'redshifts/outlier_fraction_cata_bin_0': 0.1307203471660614, 'redshifts/outlier_fraction_cata_bin_1': 0.09788694232702255, 'redshifts/outlier_fraction_cata_bin_2': 0.07790660113096237, 'redshifts/outlier_fraction_cata_bin_3': 0.057721711695194244, 'redshifts/outlier_fraction_cata_bin_4': 0.05880441889166832, 'redshifts/outlier_fraction_cata_bin_5': 0.01700054109096527}\n", + "total num of pts: tensor([91101.])\n", + "total num of pts: tensor([32904., 22164., 9241., 5233., 3081., 18478.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1454/1563 [2:17:42<09:54, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07511720806360245, 'redshifts/bias_abs_bin_0': 0.1445392370223999, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.058584749698638916, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02355615422129631, 'redshifts/bias': 0.0043938555754721165, 'redshifts/bias_bin_0': 0.02829219587147236, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0021625643130391836, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.00022534903837367892, 'redshifts/mse': 0.3100234866142273, 'redshifts/mse_bin_0': 0.43504559993743896, 'redshifts/mse_bin_1': 0.3597148060798645, 'redshifts/mse_bin_2': 0.2938174307346344, 'redshifts/mse_bin_3': 0.22036446630954742, 'redshifts/mse_bin_4': 0.23234064877033234, 'redshifts/mse_bin_5': 0.07423968613147736, 'redshifts/nmad': 0.11113011837005615, 'redshifts/nmad_bin_0': 0.21074332296848297, 'redshifts/nmad_bin_1': 0.13291780650615692, 'redshifts/nmad_bin_2': 0.08643729984760284, 'redshifts/nmad_bin_3': 0.07046125829219818, 'redshifts/nmad_bin_4': 0.06407111883163452, 'redshifts/nmad_bin_5': 0.034948963671922684, 'redshifts/outlier_fraction': 0.3245408833026886, 'redshifts/outlier_fraction_bin_0': 0.4879649877548218, 'redshifts/outlier_fraction_bin_1': 0.35399746894836426, 'redshifts/outlier_fraction_bin_2': 0.2536522150039673, 'redshifts/outlier_fraction_bin_3': 0.19892986118793488, 'redshifts/outlier_fraction_bin_4': 0.1892242729663849, 'redshifts/outlier_fraction_bin_5': 0.09178482741117477, 'redshifts/outlier_fraction_cata': 0.08768290281295776, 'redshifts/outlier_fraction_cata_bin_0': 0.13068319857120514, 'redshifts/outlier_fraction_cata_bin_1': 0.09781628102064133, 'redshifts/outlier_fraction_cata_bin_2': 0.07823828607797623, 'redshifts/outlier_fraction_cata_bin_3': 0.0577106811106205, 'redshifts/outlier_fraction_cata_bin_4': 0.05874716117978096, 'redshifts/outlier_fraction_cata_bin_5': 0.01699318177998066}\n", + "total num of pts: tensor([91153.])\n", + "total num of pts: tensor([32929., 22172., 9247., 5237., 3082., 18486.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1455/1563 [2:17:50<10:53, 6.05s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07511720806360245, 'redshifts/bias_abs_bin_0': 0.1445392370223999, 'redshifts/bias_abs_bin_1': 0.08988971263170242, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02355615422129631, 'redshifts/bias': 0.004402024205774069, 'redshifts/bias_bin_0': 0.02829531952738762, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.00023587510804645717, 'redshifts/mse': 0.3100370764732361, 'redshifts/mse_bin_0': 0.435045063495636, 'redshifts/mse_bin_1': 0.35960254073143005, 'redshifts/mse_bin_2': 0.2941962778568268, 'redshifts/mse_bin_3': 0.22027544677257538, 'redshifts/mse_bin_4': 0.2322668582201004, 'redshifts/mse_bin_5': 0.07423094660043716, 'redshifts/nmad': 0.11114223301410675, 'redshifts/nmad_bin_0': 0.21072807908058167, 'redshifts/nmad_bin_1': 0.13291892409324646, 'redshifts/nmad_bin_2': 0.0863957405090332, 'redshifts/nmad_bin_3': 0.07055901736021042, 'redshifts/nmad_bin_4': 0.06390483677387238, 'redshifts/nmad_bin_5': 0.03494798019528389, 'redshifts/outlier_fraction': 0.32454225420951843, 'redshifts/outlier_fraction_bin_0': 0.487928569316864, 'redshifts/outlier_fraction_bin_1': 0.35391485691070557, 'redshifts/outlier_fraction_bin_2': 0.253595769405365, 'redshifts/outlier_fraction_bin_3': 0.19896887242794037, 'redshifts/outlier_fraction_bin_4': 0.18916288018226624, 'redshifts/outlier_fraction_bin_5': 0.09190738946199417, 'redshifts/outlier_fraction_cata': 0.08768773078918457, 'redshifts/outlier_fraction_cata_bin_0': 0.13070546090602875, 'redshifts/outlier_fraction_cata_bin_1': 0.0977809876203537, 'redshifts/outlier_fraction_cata_bin_2': 0.07829566299915314, 'redshifts/outlier_fraction_cata_bin_3': 0.0576666034758091, 'redshifts/outlier_fraction_cata_bin_4': 0.05872809886932373, 'redshifts/outlier_fraction_cata_bin_5': 0.016985826194286346}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1456/1563 [2:17:56<10:40, 5.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([91213.])\n", + "total num of pts: tensor([32954., 22185., 9249., 5241., 3082., 18502.])\n", + "{'redshifts/bias_abs': 0.07509561628103256, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.08988971263170242, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004393754061311483, 'redshifts/bias_bin_0': 0.02825758047401905, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0021722475066781044, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.0002425141865387559, 'redshifts/mse': 0.3100915253162384, 'redshifts/mse_bin_0': 0.4351620674133301, 'redshifts/mse_bin_1': 0.3595871031284332, 'redshifts/mse_bin_2': 0.294133722782135, 'redshifts/mse_bin_3': 0.2209397256374359, 'redshifts/mse_bin_4': 0.2322668582201004, 'redshifts/mse_bin_5': 0.07417397201061249, 'redshifts/nmad': 0.11111977696418762, 'redshifts/nmad_bin_0': 0.21069414913654327, 'redshifts/nmad_bin_1': 0.1328894942998886, 'redshifts/nmad_bin_2': 0.08635834604501724, 'redshifts/nmad_bin_3': 0.07047666609287262, 'redshifts/nmad_bin_4': 0.06390483677387238, 'redshifts/nmad_bin_5': 0.03492921218276024, 'redshifts/outlier_fraction': 0.32450419664382935, 'redshifts/outlier_fraction_bin_0': 0.4879225492477417, 'redshifts/outlier_fraction_bin_1': 0.3537976145744324, 'redshifts/outlier_fraction_bin_2': 0.25354093313217163, 'redshifts/outlier_fraction_bin_3': 0.1990078240633011, 'redshifts/outlier_fraction_bin_4': 0.18916288018226624, 'redshifts/outlier_fraction_bin_5': 0.09188196063041687, 'redshifts/outlier_fraction_cata': 0.0877067968249321, 'redshifts/outlier_fraction_cata_bin_0': 0.13075803220272064, 'redshifts/outlier_fraction_cata_bin_1': 0.09776876121759415, 'redshifts/outlier_fraction_cata_bin_2': 0.07827873528003693, 'redshifts/outlier_fraction_cata_bin_3': 0.05781339481472969, 'redshifts/outlier_fraction_cata_bin_4': 0.05872809886932373, 'redshifts/outlier_fraction_cata_bin_5': 0.01697113737463951}\n", + "total num of pts: tensor([91275.])\n", + "total num of pts: tensor([32973., 22196., 9257., 5246., 3083., 18520.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1457/1563 [2:18:02<10:34, 5.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07509227842092514, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.08988971263170242, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.0043840566650033, 'redshifts/bias_bin_0': 0.028234682977199554, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.002175469184294343, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.30998772382736206, 'redshifts/mse_bin_0': 0.435106098651886, 'redshifts/mse_bin_1': 0.35949641466140747, 'redshifts/mse_bin_2': 0.2939693331718445, 'redshifts/mse_bin_3': 0.22074131667613983, 'redshifts/mse_bin_4': 0.23223009705543518, 'redshifts/mse_bin_5': 0.07412201166152954, 'redshifts/nmad': 0.11110202968120575, 'redshifts/nmad_bin_0': 0.2106880247592926, 'redshifts/nmad_bin_1': 0.1328895539045334, 'redshifts/nmad_bin_2': 0.08640051633119583, 'redshifts/nmad_bin_3': 0.07047677040100098, 'redshifts/nmad_bin_4': 0.06407111883163452, 'redshifts/nmad_bin_5': 0.03492540121078491, 'redshifts/outlier_fraction': 0.3244919180870056, 'redshifts/outlier_fraction_bin_0': 0.4878840148448944, 'redshifts/outlier_fraction_bin_1': 0.35384753346443176, 'redshifts/outlier_fraction_bin_2': 0.2537539303302765, 'redshifts/outlier_fraction_bin_3': 0.1988181471824646, 'redshifts/outlier_fraction_bin_4': 0.18942588567733765, 'redshifts/outlier_fraction_bin_5': 0.09184665232896805, 'redshifts/outlier_fraction_cata': 0.08765817433595657, 'redshifts/outlier_fraction_cata_bin_0': 0.13071300089359283, 'redshifts/outlier_fraction_cata_bin_1': 0.09772031009197235, 'redshifts/outlier_fraction_cata_bin_2': 0.07821108400821686, 'redshifts/outlier_fraction_cata_bin_3': 0.05775829032063484, 'redshifts/outlier_fraction_cata_bin_4': 0.058709051460027695, 'redshifts/outlier_fraction_cata_bin_5': 0.01695464365184307}\n", + "total num of pts: tensor([91331.])\n", + "total num of pts: tensor([32994., 22209., 9259., 5250., 3085., 18534.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1458/1563 [2:18:07<10:15, 5.86s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07511086761951447, 'redshifts/bias_abs_bin_0': 0.1445254683494568, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04703039303421974, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.0043840566650033, 'redshifts/bias_bin_0': 0.028234682977199554, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.3100276589393616, 'redshifts/mse_bin_0': 0.43510687351226807, 'redshifts/mse_bin_1': 0.3595888912677765, 'redshifts/mse_bin_2': 0.29390794038772583, 'redshifts/mse_bin_3': 0.22061143815517426, 'redshifts/mse_bin_4': 0.23209412395954132, 'redshifts/mse_bin_5': 0.07432776689529419, 'redshifts/nmad': 0.11111070960760117, 'redshifts/nmad_bin_0': 0.2106880247592926, 'redshifts/nmad_bin_1': 0.13288696110248566, 'redshifts/nmad_bin_2': 0.08640734851360321, 'redshifts/nmad_bin_3': 0.07055901736021042, 'redshifts/nmad_bin_4': 0.06413731724023819, 'redshifts/nmad_bin_5': 0.03492770716547966, 'redshifts/outlier_fraction': 0.32445719838142395, 'redshifts/outlier_fraction_bin_0': 0.48790690302848816, 'redshifts/outlier_fraction_bin_1': 0.3536854386329651, 'redshifts/outlier_fraction_bin_2': 0.25369909405708313, 'redshifts/outlier_fraction_bin_3': 0.19904762506484985, 'redshifts/outlier_fraction_bin_4': 0.18930308520793915, 'redshifts/outlier_fraction_bin_5': 0.09183122962713242, 'redshifts/outlier_fraction_cata': 0.08767012506723404, 'redshifts/outlier_fraction_cata_bin_0': 0.13075104355812073, 'redshifts/outlier_fraction_cata_bin_1': 0.09770813584327698, 'redshifts/outlier_fraction_cata_bin_2': 0.07819418609142303, 'redshifts/outlier_fraction_cata_bin_3': 0.05771428719162941, 'redshifts/outlier_fraction_cata_bin_4': 0.05867099016904831, 'redshifts/outlier_fraction_cata_bin_5': 0.016995791345834732}\n", + "total num of pts: tensor([91381.])\n", + "total num of pts: tensor([33008., 22219., 9266., 5252., 3087., 18549.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1459/1563 [2:18:12<09:40, 5.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07509227842092514, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05858338251709938, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023558367043733597, 'redshifts/bias': 0.0043815672397613525, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00022423811606131494, 'redshifts/mse': 0.30992332100868225, 'redshifts/mse_bin_0': 0.43500158190727234, 'redshifts/mse_bin_1': 0.3595586121082306, 'redshifts/mse_bin_2': 0.2937026619911194, 'redshifts/mse_bin_3': 0.2205282300710678, 'redshifts/mse_bin_4': 0.23196212947368622, 'redshifts/mse_bin_5': 0.07427924871444702, 'redshifts/nmad': 0.11109495908021927, 'redshifts/nmad_bin_0': 0.21068091690540314, 'redshifts/nmad_bin_1': 0.1328698843717575, 'redshifts/nmad_bin_2': 0.08647316694259644, 'redshifts/nmad_bin_3': 0.07047666609287262, 'redshifts/nmad_bin_4': 0.06411319971084595, 'redshifts/nmad_bin_5': 0.03495630994439125, 'redshifts/outlier_fraction': 0.3243781626224518, 'redshifts/outlier_fraction_bin_0': 0.48782113194465637, 'redshifts/outlier_fraction_bin_1': 0.35366126894950867, 'redshifts/outlier_fraction_bin_2': 0.25350743532180786, 'redshifts/outlier_fraction_bin_3': 0.19897182285785675, 'redshifts/outlier_fraction_bin_4': 0.1891804337501526, 'redshifts/outlier_fraction_bin_5': 0.09186478704214096, 'redshifts/outlier_fraction_cata': 0.08763309568166733, 'redshifts/outlier_fraction_cata_bin_0': 0.13069559633731842, 'redshifts/outlier_fraction_cata_bin_1': 0.09770917147397995, 'redshifts/outlier_fraction_cata_bin_2': 0.07813511788845062, 'redshifts/outlier_fraction_cata_bin_3': 0.057692307978868484, 'redshifts/outlier_fraction_cata_bin_4': 0.058632977306842804, 'redshifts/outlier_fraction_cata_bin_5': 0.016982046887278557}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1460/1563 [2:18:18<09:28, 5.52s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([91441.])\n", + "total num of pts: tensor([33030., 22230., 9276., 5257., 3087., 18561.])\n", + "{'redshifts/bias_abs': 0.07511204481124878, 'redshifts/bias_abs_bin_0': 0.14447550475597382, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02355615422129631, 'redshifts/bias': 0.004402024205774069, 'redshifts/bias_bin_0': 0.02825101651251316, 'redshifts/bias_bin_1': 0.010389681905508041, 'redshifts/bias_bin_2': -0.00218193419277668, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00022423811606131494, 'redshifts/mse': 0.30996185541152954, 'redshifts/mse_bin_0': 0.435049831867218, 'redshifts/mse_bin_1': 0.3594335615634918, 'redshifts/mse_bin_2': 0.2941837012767792, 'redshifts/mse_bin_3': 0.22060921788215637, 'redshifts/mse_bin_4': 0.23196212947368622, 'redshifts/mse_bin_5': 0.07427693903446198, 'redshifts/nmad': 0.11110752820968628, 'redshifts/nmad_bin_0': 0.21077142655849457, 'redshifts/nmad_bin_1': 0.13286437094211578, 'redshifts/nmad_bin_2': 0.08640734851360321, 'redshifts/nmad_bin_3': 0.07055901736021042, 'redshifts/nmad_bin_4': 0.06411319971084595, 'redshifts/nmad_bin_5': 0.034947317093610764, 'redshifts/outlier_fraction': 0.324416846036911, 'redshifts/outlier_fraction_bin_0': 0.4878292381763458, 'redshifts/outlier_fraction_bin_1': 0.353666216135025, 'redshifts/outlier_fraction_bin_2': 0.25366538763046265, 'redshifts/outlier_fraction_bin_3': 0.199163019657135, 'redshifts/outlier_fraction_bin_4': 0.1891804337501526, 'redshifts/outlier_fraction_bin_5': 0.0919131487607956, 'redshifts/outlier_fraction_cata': 0.08765214681625366, 'redshifts/outlier_fraction_cata_bin_0': 0.13075990974903107, 'redshifts/outlier_fraction_cata_bin_1': 0.09766081720590591, 'redshifts/outlier_fraction_cata_bin_2': 0.07826649397611618, 'redshifts/outlier_fraction_cata_bin_3': 0.05763743445277214, 'redshifts/outlier_fraction_cata_bin_4': 0.058632977306842804, 'redshifts/outlier_fraction_cata_bin_5': 0.01697106845676899}\n", + "total num of pts: tensor([91508.])\n", + "total num of pts: tensor([33049., 22248., 9284., 5260., 3094., 18573.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 93%|█████████▎| 1461/1563 [2:18:22<09:00, 5.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0750860646367073, 'redshifts/bias_abs_bin_0': 0.14445503056049347, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04703039303421974, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004393754061311483, 'redshifts/bias_bin_0': 0.02825101651251316, 'redshifts/bias_bin_1': 0.010392154566943645, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00022274615184869617, 'redshifts/mse': 0.3098302483558655, 'redshifts/mse_bin_0': 0.4349385201931, 'redshifts/mse_bin_1': 0.35928744077682495, 'redshifts/mse_bin_2': 0.2939498722553253, 'redshifts/mse_bin_3': 0.2205667644739151, 'redshifts/mse_bin_4': 0.2315112054347992, 'redshifts/mse_bin_5': 0.07423241436481476, 'redshifts/nmad': 0.11104350537061691, 'redshifts/nmad_bin_0': 0.21075820922851562, 'redshifts/nmad_bin_1': 0.13286803662776947, 'redshifts/nmad_bin_2': 0.08643484860658646, 'redshifts/nmad_bin_3': 0.07046125829219818, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.0349234938621521, 'redshifts/outlier_fraction': 0.3243432343006134, 'redshifts/outlier_fraction_bin_0': 0.4877908527851105, 'redshifts/outlier_fraction_bin_1': 0.3535598814487457, 'redshifts/outlier_fraction_bin_2': 0.25355449318885803, 'redshifts/outlier_fraction_bin_3': 0.19923953711986542, 'redshifts/outlier_fraction_bin_4': 0.18907563388347626, 'redshifts/outlier_fraction_bin_5': 0.09185376763343811, 'redshifts/outlier_fraction_cata': 0.08760982751846313, 'redshifts/outlier_fraction_cata_bin_0': 0.1307149976491928, 'redshifts/outlier_fraction_cata_bin_1': 0.09762675315141678, 'redshifts/outlier_fraction_cata_bin_2': 0.07819905132055283, 'redshifts/outlier_fraction_cata_bin_3': 0.05760456249117851, 'redshifts/outlier_fraction_cata_bin_4': 0.058500323444604874, 'redshifts/outlier_fraction_cata_bin_5': 0.016960103064775467}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▎| 1462/1563 [2:18:27<08:46, 5.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([91581.])\n", + "total num of pts: tensor([33080., 22269., 9291., 5263., 3095., 18583.])\n", + "{'redshifts/bias_abs': 0.07511086761951447, 'redshifts/bias_abs_bin_0': 0.14442908763885498, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04703039303421974, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.0043913801200687885, 'redshifts/bias_bin_0': 0.028232475742697716, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0022244700230658054, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.3098973333835602, 'redshifts/mse_bin_0': 0.43494492769241333, 'redshifts/mse_bin_1': 0.35936465859413147, 'redshifts/mse_bin_2': 0.29421424865722656, 'redshifts/mse_bin_3': 0.22067007422447205, 'redshifts/mse_bin_4': 0.23144246637821198, 'redshifts/mse_bin_5': 0.07419583946466446, 'redshifts/nmad': 0.11108803004026413, 'redshifts/nmad_bin_0': 0.21069131791591644, 'redshifts/nmad_bin_1': 0.13295844197273254, 'redshifts/nmad_bin_2': 0.08643484860658646, 'redshifts/nmad_bin_3': 0.07047666609287262, 'redshifts/nmad_bin_4': 0.06402432173490524, 'redshifts/nmad_bin_5': 0.03491959348320961, 'redshifts/outlier_fraction': 0.32437950372695923, 'redshifts/outlier_fraction_bin_0': 0.48775696754455566, 'redshifts/outlier_fraction_bin_1': 0.35358569025993347, 'redshifts/outlier_fraction_bin_2': 0.2536863684654236, 'redshifts/outlier_fraction_bin_3': 0.19931598007678986, 'redshifts/outlier_fraction_bin_4': 0.18901453912258148, 'redshifts/outlier_fraction_bin_5': 0.0918581485748291, 'redshifts/outlier_fraction_cata': 0.08761642873287201, 'redshifts/outlier_fraction_cata_bin_0': 0.13065296411514282, 'redshifts/outlier_fraction_cata_bin_1': 0.09762450307607651, 'redshifts/outlier_fraction_cata_bin_2': 0.07835539430379868, 'redshifts/outlier_fraction_cata_bin_3': 0.05776173248887062, 'redshifts/outlier_fraction_cata_bin_4': 0.05848142132163048, 'redshifts/outlier_fraction_cata_bin_5': 0.016950976103544235}\n", + "total num of pts: tensor([91638.])\n", + "total num of pts: tensor([33102., 22277., 9299., 5268., 3097., 18595.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▎| 1463/1563 [2:18:32<08:31, 5.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07511720806360245, 'redshifts/bias_abs_bin_0': 0.1445152759552002, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04703039303421974, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004389310721307993, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.002260402776300907, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00021857023239135742, 'redshifts/mse': 0.30993008613586426, 'redshifts/mse_bin_0': 0.4350554645061493, 'redshifts/mse_bin_1': 0.35945868492126465, 'redshifts/mse_bin_2': 0.2940671443939209, 'redshifts/mse_bin_3': 0.22071100771427155, 'redshifts/mse_bin_4': 0.23131993412971497, 'redshifts/mse_bin_5': 0.07415226101875305, 'redshifts/nmad': 0.111119844019413, 'redshifts/nmad_bin_0': 0.2108224630355835, 'redshifts/nmad_bin_1': 0.13295844197273254, 'redshifts/nmad_bin_2': 0.08648812025785446, 'redshifts/nmad_bin_3': 0.07046125829219818, 'redshifts/nmad_bin_4': 0.06408502906560898, 'redshifts/nmad_bin_5': 0.034917302429676056, 'redshifts/outlier_fraction': 0.3244505524635315, 'redshifts/outlier_fraction_bin_0': 0.48791614174842834, 'redshifts/outlier_fraction_bin_1': 0.35363829135894775, 'redshifts/outlier_fraction_bin_2': 0.2537907361984253, 'redshifts/outlier_fraction_bin_3': 0.19931663572788239, 'redshifts/outlier_fraction_bin_4': 0.18921537697315216, 'redshifts/outlier_fraction_bin_5': 0.09179887175559998, 'redshifts/outlier_fraction_cata': 0.08763831853866577, 'redshifts/outlier_fraction_cata_bin_0': 0.1307171732187271, 'redshifts/outlier_fraction_cata_bin_1': 0.09763433039188385, 'redshifts/outlier_fraction_cata_bin_2': 0.0782879889011383, 'redshifts/outlier_fraction_cata_bin_3': 0.05789673328399658, 'redshifts/outlier_fraction_cata_bin_4': 0.05844365432858467, 'redshifts/outlier_fraction_cata_bin_5': 0.016940036788582802}\n", + "total num of pts: tensor([91703.])\n", + "total num of pts: tensor([33120., 22295., 9305., 5274., 3101., 18608.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▎| 1464/1563 [2:18:37<08:04, 4.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07512028515338898, 'redshifts/bias_abs_bin_0': 0.1445152759552002, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.05848308652639389, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.04347492381930351, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004380507860332727, 'redshifts/bias_bin_0': 0.028216304257512093, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.0053649963811039925, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.0002038313978118822, 'redshifts/mse': 0.30982455611228943, 'redshifts/mse_bin_0': 0.43498995900154114, 'redshifts/mse_bin_1': 0.3593217730522156, 'redshifts/mse_bin_2': 0.29388779401779175, 'redshifts/mse_bin_3': 0.22047393023967743, 'redshifts/mse_bin_4': 0.23125511407852173, 'redshifts/mse_bin_5': 0.07412706315517426, 'redshifts/nmad': 0.11110819876194, 'redshifts/nmad_bin_0': 0.21082289516925812, 'redshifts/nmad_bin_1': 0.1329488456249237, 'redshifts/nmad_bin_2': 0.08625219017267227, 'redshifts/nmad_bin_3': 0.07043087482452393, 'redshifts/nmad_bin_4': 0.064239002764225, 'redshifts/nmad_bin_5': 0.03493138775229454, 'redshifts/outlier_fraction': 0.3244386911392212, 'redshifts/outlier_fraction_bin_0': 0.48792269825935364, 'redshifts/outlier_fraction_bin_1': 0.3536219000816345, 'redshifts/outlier_fraction_bin_2': 0.25362709164619446, 'redshifts/outlier_fraction_bin_3': 0.19927948713302612, 'redshifts/outlier_fraction_bin_4': 0.189293771982193, 'redshifts/outlier_fraction_bin_5': 0.09189596027135849, 'redshifts/outlier_fraction_cata': 0.08759800344705582, 'redshifts/outlier_fraction_cata_bin_0': 0.13067632913589478, 'redshifts/outlier_fraction_cata_bin_1': 0.09760035574436188, 'redshifts/outlier_fraction_cata_bin_2': 0.07823750376701355, 'redshifts/outlier_fraction_cata_bin_3': 0.057830870151519775, 'redshifts/outlier_fraction_cata_bin_4': 0.058368269354104996, 'redshifts/outlier_fraction_cata_bin_5': 0.016928203403949738}\n", + "total num of pts: tensor([91764.])\n", + "total num of pts: tensor([33136., 22309., 9315., 5277., 3103., 18624.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▎| 1465/1563 [2:18:44<09:14, 5.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07509561628103256, 'redshifts/bias_abs_bin_0': 0.14449003338813782, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04703039303421974, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004380507860332727, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00021857023239135742, 'redshifts/mse': 0.30980896949768066, 'redshifts/mse_bin_0': 0.43496400117874146, 'redshifts/mse_bin_1': 0.3591800630092621, 'redshifts/mse_bin_2': 0.2945590317249298, 'redshifts/mse_bin_3': 0.22039781510829926, 'redshifts/mse_bin_4': 0.23110708594322205, 'redshifts/mse_bin_5': 0.07406574487686157, 'redshifts/nmad': 0.11107191443443298, 'redshifts/nmad_bin_0': 0.21081861853599548, 'redshifts/nmad_bin_1': 0.1329442858695984, 'redshifts/nmad_bin_2': 0.08650226145982742, 'redshifts/nmad_bin_3': 0.07058157026767731, 'redshifts/nmad_bin_4': 0.0642319768667221, 'redshifts/nmad_bin_5': 0.034917302429676056, 'redshifts/outlier_fraction': 0.32438647747039795, 'redshifts/outlier_fraction_bin_0': 0.4878983497619629, 'redshifts/outlier_fraction_bin_1': 0.3535792827606201, 'redshifts/outlier_fraction_bin_2': 0.2536768615245819, 'redshifts/outlier_fraction_bin_3': 0.19935569167137146, 'redshifts/outlier_fraction_bin_4': 0.18917177617549896, 'redshifts/outlier_fraction_bin_5': 0.09181701391935349, 'redshifts/outlier_fraction_cata': 0.08760516345500946, 'redshifts/outlier_fraction_cata_bin_0': 0.13070376217365265, 'redshifts/outlier_fraction_cata_bin_1': 0.09753911197185516, 'redshifts/outlier_fraction_cata_bin_2': 0.07847557961940765, 'redshifts/outlier_fraction_cata_bin_3': 0.05779799073934555, 'redshifts/outlier_fraction_cata_bin_4': 0.05833064764738083, 'redshifts/outlier_fraction_cata_bin_5': 0.016913659870624542}\n", + "total num of pts: tensor([91824.])\n", + "total num of pts: tensor([33155., 22317., 9321., 5281., 3106., 18644.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1466/1563 [2:18:50<09:24, 5.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07511204481124878, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.08987556397914886, 'redshifts/bias_abs_bin_2': 0.058584749698638916, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023530777543783188, 'redshifts/bias': 0.00438218517228961, 'redshifts/bias_bin_0': 0.028232475742697716, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.309916228055954, 'redshifts/mse_bin_0': 0.43497639894485474, 'redshifts/mse_bin_1': 0.3596266508102417, 'redshifts/mse_bin_2': 0.2945413589477539, 'redshifts/mse_bin_3': 0.2203046977519989, 'redshifts/mse_bin_4': 0.23088546097278595, 'redshifts/mse_bin_5': 0.07425056397914886, 'redshifts/nmad': 0.11109404265880585, 'redshifts/nmad_bin_0': 0.2108488529920578, 'redshifts/nmad_bin_1': 0.1329837143421173, 'redshifts/nmad_bin_2': 0.0865798071026802, 'redshifts/nmad_bin_3': 0.07063943147659302, 'redshifts/nmad_bin_4': 0.0640181303024292, 'redshifts/nmad_bin_5': 0.03490449860692024, 'redshifts/outlier_fraction': 0.32441410422325134, 'redshifts/outlier_fraction_bin_0': 0.48795053362846375, 'redshifts/outlier_fraction_bin_1': 0.35363176465034485, 'redshifts/outlier_fraction_bin_2': 0.25383543968200684, 'redshifts/outlier_fraction_bin_3': 0.19958341121673584, 'redshifts/outlier_fraction_bin_4': 0.18898905813694, 'redshifts/outlier_fraction_bin_5': 0.09182579070329666, 'redshifts/outlier_fraction_cata': 0.08761326223611832, 'redshifts/outlier_fraction_cata_bin_0': 0.13068918883800507, 'redshifts/outlier_fraction_cata_bin_1': 0.0975937619805336, 'redshifts/outlier_fraction_cata_bin_2': 0.07853234559297562, 'redshifts/outlier_fraction_cata_bin_3': 0.057754214853048325, 'redshifts/outlier_fraction_cata_bin_4': 0.05827430635690689, 'redshifts/outlier_fraction_cata_bin_5': 0.016949152573943138}\n", + "total num of pts: tensor([91886.])\n", + "total num of pts: tensor([33171., 22331., 9328., 5284., 3111., 18661.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1467/1563 [2:18:55<08:57, 5.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07508543133735657, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.08985678106546402, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.004389310721307993, 'redshifts/bias_bin_0': 0.028234682977199554, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.30998629331588745, 'redshifts/mse_bin_0': 0.43514639139175415, 'redshifts/mse_bin_1': 0.3594459295272827, 'redshifts/mse_bin_2': 0.2948479950428009, 'redshifts/mse_bin_3': 0.22079429030418396, 'redshifts/mse_bin_4': 0.2317260354757309, 'redshifts/mse_bin_5': 0.07418935000896454, 'redshifts/nmad': 0.1110321581363678, 'redshifts/nmad_bin_0': 0.21091614663600922, 'redshifts/nmad_bin_1': 0.1329452246427536, 'redshifts/nmad_bin_2': 0.08648771792650223, 'redshifts/nmad_bin_3': 0.07061509788036346, 'redshifts/nmad_bin_4': 0.06409122049808502, 'redshifts/nmad_bin_5': 0.034893374890089035, 'redshifts/outlier_fraction': 0.32440197467803955, 'redshifts/outlier_fraction_bin_0': 0.488046795129776, 'redshifts/outlier_fraction_bin_1': 0.3534996211528778, 'redshifts/outlier_fraction_bin_2': 0.25385934114456177, 'redshifts/outlier_fraction_bin_3': 0.1996593475341797, 'redshifts/outlier_fraction_bin_4': 0.18932819366455078, 'redshifts/outlier_fraction_bin_5': 0.09179572016000748, 'redshifts/outlier_fraction_cata': 0.08761943876743317, 'redshifts/outlier_fraction_cata_bin_0': 0.13071659207344055, 'redshifts/outlier_fraction_cata_bin_1': 0.09753257781267166, 'redshifts/outlier_fraction_cata_bin_2': 0.07858061790466309, 'redshifts/outlier_fraction_cata_bin_3': 0.057910673320293427, 'redshifts/outlier_fraction_cata_bin_4': 0.058502089232206345, 'redshifts/outlier_fraction_cata_bin_5': 0.016933711245656013}\n", + "total num of pts: tensor([91951.])\n", + "total num of pts: tensor([33191., 22350., 9337., 5289., 3112., 18672.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1468/1563 [2:19:01<08:49, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0750778317451477, 'redshifts/bias_abs_bin_0': 0.1445433497428894, 'redshifts/bias_abs_bin_1': 0.08979185670614243, 'redshifts/bias_abs_bin_2': 0.058584749698638916, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.004380732774734497, 'redshifts/bias_bin_0': 0.028216304257512093, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0002038313978118822, 'redshifts/mse': 0.3100249171257019, 'redshifts/mse_bin_0': 0.43516167998313904, 'redshifts/mse_bin_1': 0.35941872000694275, 'redshifts/mse_bin_2': 0.29541999101638794, 'redshifts/mse_bin_3': 0.22062517702579498, 'redshifts/mse_bin_4': 0.23166097700595856, 'redshifts/mse_bin_5': 0.0741475522518158, 'redshifts/nmad': 0.11101944744586945, 'redshifts/nmad_bin_0': 0.21094338595867157, 'redshifts/nmad_bin_1': 0.1329093873500824, 'redshifts/nmad_bin_2': 0.0865798071026802, 'redshifts/nmad_bin_3': 0.07062003016471863, 'redshifts/nmad_bin_4': 0.06409122049808502, 'redshifts/nmad_bin_5': 0.034899208694696426, 'redshifts/outlier_fraction': 0.324390172958374, 'redshifts/outlier_fraction_bin_0': 0.48805397748947144, 'redshifts/outlier_fraction_bin_1': 0.3534228205680847, 'redshifts/outlier_fraction_bin_2': 0.2540430426597595, 'redshifts/outlier_fraction_bin_3': 0.19965967535972595, 'redshifts/outlier_fraction_bin_4': 0.1892673522233963, 'redshifts/outlier_fraction_bin_5': 0.091741643846035, 'redshifts/outlier_fraction_cata': 0.08766625821590424, 'redshifts/outlier_fraction_cata_bin_0': 0.13078846037387848, 'redshifts/outlier_fraction_cata_bin_1': 0.09753914922475815, 'redshifts/outlier_fraction_cata_bin_2': 0.0788261741399765, 'redshifts/outlier_fraction_cata_bin_3': 0.05785592645406723, 'redshifts/outlier_fraction_cata_bin_4': 0.058483291417360306, 'redshifts/outlier_fraction_cata_bin_5': 0.01692373678088188}\n", + "total num of pts: tensor([92010.])\n", + "total num of pts: tensor([33204., 22366., 9344., 5293., 3114., 18689.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1469/1563 [2:19:06<08:45, 5.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07503111660480499, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.08973637223243713, 'redshifts/bias_abs_bin_2': 0.05858338251709938, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.004380507860332727, 'redshifts/bias_bin_0': 0.028207454830408096, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00020624279568437487, 'redshifts/mse': 0.309979647397995, 'redshifts/mse_bin_0': 0.43502768874168396, 'redshifts/mse_bin_1': 0.35944417119026184, 'redshifts/mse_bin_2': 0.2955906093120575, 'redshifts/mse_bin_3': 0.2208966165781021, 'redshifts/mse_bin_4': 0.23151463270187378, 'redshifts/mse_bin_5': 0.07411248981952667, 'redshifts/nmad': 0.11099423468112946, 'redshifts/nmad_bin_0': 0.21084944903850555, 'redshifts/nmad_bin_1': 0.1328672170639038, 'redshifts/nmad_bin_2': 0.08657794445753098, 'redshifts/nmad_bin_3': 0.07060489803552628, 'redshifts/nmad_bin_4': 0.06409122049808502, 'redshifts/nmad_bin_5': 0.0348990261554718, 'redshifts/outlier_fraction': 0.32431256771087646, 'redshifts/outlier_fraction_bin_0': 0.487983375787735, 'redshifts/outlier_fraction_bin_1': 0.3533041179180145, 'redshifts/outlier_fraction_bin_2': 0.2540667951107025, 'redshifts/outlier_fraction_bin_3': 0.19969771802425385, 'redshifts/outlier_fraction_bin_4': 0.1891457885503769, 'redshifts/outlier_fraction_bin_5': 0.09176521003246307, 'redshifts/outlier_fraction_cata': 0.08764264732599258, 'redshifts/outlier_fraction_cata_bin_0': 0.13073725998401642, 'redshifts/outlier_fraction_cata_bin_1': 0.0975140854716301, 'redshifts/outlier_fraction_cata_bin_2': 0.0788741409778595, 'redshifts/outlier_fraction_cata_bin_3': 0.05800113454461098, 'redshifts/outlier_fraction_cata_bin_4': 0.058445729315280914, 'redshifts/outlier_fraction_cata_bin_5': 0.016908342018723488}\n", + "total num of pts: tensor([92063.])\n", + "total num of pts: tensor([33215., 22384., 9349., 5295., 3117., 18703.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1470/1563 [2:19:13<09:03, 5.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07504672557115555, 'redshifts/bias_abs_bin_0': 0.14453552663326263, 'redshifts/bias_abs_bin_1': 0.0897429883480072, 'redshifts/bias_abs_bin_2': 0.05861202999949455, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.0043815672397613525, 'redshifts/bias_bin_0': 0.028207454830408096, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00020624279568437487, 'redshifts/mse': 0.3099226653575897, 'redshifts/mse_bin_0': 0.43498626351356506, 'redshifts/mse_bin_1': 0.35937830805778503, 'redshifts/mse_bin_2': 0.2956562936306, 'redshifts/mse_bin_3': 0.22085244953632355, 'redshifts/mse_bin_4': 0.23140789568424225, 'redshifts/mse_bin_5': 0.07406336069107056, 'redshifts/nmad': 0.11100047826766968, 'redshifts/nmad_bin_0': 0.21084944903850555, 'redshifts/nmad_bin_1': 0.13289062678813934, 'redshifts/nmad_bin_2': 0.08660765737295151, 'redshifts/nmad_bin_3': 0.07062003016471863, 'redshifts/nmad_bin_4': 0.0642319768667221, 'redshifts/nmad_bin_5': 0.0348990261554718, 'redshifts/outlier_fraction': 0.3243105411529541, 'redshifts/outlier_fraction_bin_0': 0.48797228932380676, 'redshifts/outlier_fraction_bin_1': 0.3533327281475067, 'redshifts/outlier_fraction_bin_2': 0.25425177812576294, 'redshifts/outlier_fraction_bin_3': 0.1998111456632614, 'redshifts/outlier_fraction_bin_4': 0.1892845630645752, 'redshifts/outlier_fraction_bin_5': 0.09169651567935944, 'redshifts/outlier_fraction_cata': 0.08763564378023148, 'redshifts/outlier_fraction_cata_bin_0': 0.13072407245635986, 'redshifts/outlier_fraction_cata_bin_1': 0.09752501547336578, 'redshifts/outlier_fraction_cata_bin_2': 0.07893892377614975, 'redshifts/outlier_fraction_cata_bin_3': 0.05797922611236572, 'redshifts/outlier_fraction_cata_bin_4': 0.05838947743177414, 'redshifts/outlier_fraction_cata_bin_5': 0.016895685344934464}\n", + "total num of pts: tensor([92114.])\n", + "total num of pts: tensor([33236., 22401., 9352., 5297., 3118., 18710.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1471/1563 [2:19:21<10:12, 6.66s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07504672557115555, 'redshifts/bias_abs_bin_0': 0.1445392370223999, 'redshifts/bias_abs_bin_1': 0.0897248163819313, 'redshifts/bias_abs_bin_2': 0.05858338251709938, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.00438218517228961, 'redshifts/bias_bin_0': 0.028207454830408096, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00020624279568437487, 'redshifts/mse': 0.3099462389945984, 'redshifts/mse_bin_0': 0.435054749250412, 'redshifts/mse_bin_1': 0.3591611087322235, 'redshifts/mse_bin_2': 0.29556211829185486, 'redshifts/mse_bin_3': 0.22174546122550964, 'redshifts/mse_bin_4': 0.2313346117734909, 'redshifts/mse_bin_5': 0.074043408036232, 'redshifts/nmad': 0.11100048571825027, 'redshifts/nmad_bin_0': 0.21085909008979797, 'redshifts/nmad_bin_1': 0.13288286328315735, 'redshifts/nmad_bin_2': 0.08657794445753098, 'redshifts/nmad_bin_3': 0.07063943147659302, 'redshifts/nmad_bin_4': 0.06409122049808502, 'redshifts/nmad_bin_5': 0.0348990261554718, 'redshifts/outlier_fraction': 0.32432636618614197, 'redshifts/outlier_fraction_bin_0': 0.488025039434433, 'redshifts/outlier_fraction_bin_1': 0.3532431721687317, 'redshifts/outlier_fraction_bin_2': 0.2541702389717102, 'redshifts/outlier_fraction_bin_3': 0.19992448389530182, 'redshifts/outlier_fraction_bin_4': 0.18922385573387146, 'redshifts/outlier_fraction_bin_5': 0.09171566367149353, 'redshifts/outlier_fraction_cata': 0.08765225857496262, 'redshifts/outlier_fraction_cata_bin_0': 0.13079191744327545, 'redshifts/outlier_fraction_cata_bin_1': 0.09745100885629654, 'redshifts/outlier_fraction_cata_bin_2': 0.0789135992527008, 'redshifts/outlier_fraction_cata_bin_3': 0.058146119117736816, 'redshifts/outlier_fraction_cata_bin_4': 0.05837075039744377, 'redshifts/outlier_fraction_cata_bin_5': 0.016889363527297974}\n", + "total num of pts: tensor([92166.])\n", + "total num of pts: tensor([33258., 22414., 9356., 5298., 3120., 18720.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1472/1563 [2:19:29<10:26, 6.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07507451623678207, 'redshifts/bias_abs_bin_0': 0.1445728987455368, 'redshifts/bias_abs_bin_1': 0.08978765457868576, 'redshifts/bias_abs_bin_2': 0.05858338251709938, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.0043840566650033, 'redshifts/bias_bin_0': 0.02819235250353813, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005584933795034885, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.3101068437099457, 'redshifts/mse_bin_0': 0.4350934624671936, 'redshifts/mse_bin_1': 0.3594251573085785, 'redshifts/mse_bin_2': 0.29544180631637573, 'redshifts/mse_bin_3': 0.22178664803504944, 'redshifts/mse_bin_4': 0.23402541875839233, 'redshifts/mse_bin_5': 0.07401052862405777, 'redshifts/nmad': 0.11101691424846649, 'redshifts/nmad_bin_0': 0.21095338463783264, 'redshifts/nmad_bin_1': 0.1328999251127243, 'redshifts/nmad_bin_2': 0.08656961470842361, 'redshifts/nmad_bin_3': 0.0706290453672409, 'redshifts/nmad_bin_4': 0.06420380622148514, 'redshifts/nmad_bin_5': 0.034896403551101685, 'redshifts/outlier_fraction': 0.32443633675575256, 'redshifts/outlier_fraction_bin_0': 0.48815321922302246, 'redshifts/outlier_fraction_bin_1': 0.3534844219684601, 'redshifts/outlier_fraction_bin_2': 0.2540615499019623, 'redshifts/outlier_fraction_bin_3': 0.20007550716400146, 'redshifts/outlier_fraction_bin_4': 0.1894230842590332, 'redshifts/outlier_fraction_bin_5': 0.09166666865348816, 'redshifts/outlier_fraction_cata': 0.08770045638084412, 'redshifts/outlier_fraction_cata_bin_0': 0.13082566857337952, 'redshifts/outlier_fraction_cata_bin_1': 0.0975729450583458, 'redshifts/outlier_fraction_cata_bin_2': 0.07887986302375793, 'redshifts/outlier_fraction_cata_bin_3': 0.05813514441251755, 'redshifts/outlier_fraction_cata_bin_4': 0.05865384638309479, 'redshifts/outlier_fraction_cata_bin_5': 0.016880342736840248}\n", + "total num of pts: tensor([92221.])\n", + "total num of pts: tensor([33273., 22422., 9361., 5302., 3121., 18742.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1473/1563 [2:19:35<09:51, 6.57s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07508323341608047, 'redshifts/bias_abs_bin_0': 0.14462120831012726, 'redshifts/bias_abs_bin_1': 0.0897429883480072, 'redshifts/bias_abs_bin_2': 0.05861202999949455, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023534510284662247, 'redshifts/bias': 0.0043938555754721165, 'redshifts/bias_bin_0': 0.028216304257512093, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00022274615184869617, 'redshifts/mse': 0.3101958930492401, 'redshifts/mse_bin_0': 0.43514180183410645, 'redshifts/mse_bin_1': 0.3596930205821991, 'redshifts/mse_bin_2': 0.29542112350463867, 'redshifts/mse_bin_3': 0.22183896601200104, 'redshifts/mse_bin_4': 0.23396901786327362, 'redshifts/mse_bin_5': 0.07423003017902374, 'redshifts/nmad': 0.11103568226099014, 'redshifts/nmad_bin_0': 0.21100260317325592, 'redshifts/nmad_bin_1': 0.13288593292236328, 'redshifts/nmad_bin_2': 0.08661582320928574, 'redshifts/nmad_bin_3': 0.07063153386116028, 'redshifts/nmad_bin_4': 0.06421083211898804, 'redshifts/nmad_bin_5': 0.03491785749793053, 'redshifts/outlier_fraction': 0.324470579624176, 'redshifts/outlier_fraction_bin_0': 0.48820364475250244, 'redshifts/outlier_fraction_bin_1': 0.3534921109676361, 'redshifts/outlier_fraction_bin_2': 0.2543531656265259, 'redshifts/outlier_fraction_bin_3': 0.20030176639556885, 'redshifts/outlier_fraction_bin_4': 0.18936237692832947, 'redshifts/outlier_fraction_bin_5': 0.0917191356420517, 'redshifts/outlier_fraction_cata': 0.08774574100971222, 'redshifts/outlier_fraction_cata_bin_0': 0.13088691234588623, 'redshifts/outlier_fraction_cata_bin_1': 0.09767192602157593, 'redshifts/outlier_fraction_cata_bin_2': 0.07883772999048233, 'redshifts/outlier_fraction_cata_bin_3': 0.058279894292354584, 'redshifts/outlier_fraction_cata_bin_4': 0.05863505229353905, 'redshifts/outlier_fraction_cata_bin_5': 0.01691388338804245}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1474/1563 [2:19:42<09:57, 6.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([92285.])\n", + "total num of pts: tensor([33293., 22442., 9365., 5305., 3122., 18758.])\n", + "{'redshifts/bias_abs': 0.0750778317451477, 'redshifts/bias_abs_bin_0': 0.1445728987455368, 'redshifts/bias_abs_bin_1': 0.08978765457868576, 'redshifts/bias_abs_bin_2': 0.05861202999949455, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.004400321748107672, 'redshifts/bias_bin_0': 0.028234682977199554, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00022274615184869617, 'redshifts/mse': 0.31009501218795776, 'redshifts/mse_bin_0': 0.4350510537624359, 'redshifts/mse_bin_1': 0.3595612347126007, 'redshifts/mse_bin_2': 0.29530802369117737, 'redshifts/mse_bin_3': 0.22173210978507996, 'redshifts/mse_bin_4': 0.23389412462711334, 'redshifts/mse_bin_5': 0.07418845593929291, 'redshifts/nmad': 0.11103377491235733, 'redshifts/nmad_bin_0': 0.21091614663600922, 'redshifts/nmad_bin_1': 0.13289983570575714, 'redshifts/nmad_bin_2': 0.08661247789859772, 'redshifts/nmad_bin_3': 0.07076694071292877, 'redshifts/nmad_bin_4': 0.06420380622148514, 'redshifts/nmad_bin_5': 0.03489755839109421, 'redshifts/outlier_fraction': 0.32445141673088074, 'redshifts/outlier_fraction_bin_0': 0.4881506562232971, 'redshifts/outlier_fraction_bin_1': 0.3535335659980774, 'redshifts/outlier_fraction_bin_2': 0.25424453616142273, 'redshifts/outlier_fraction_bin_3': 0.20037700235843658, 'redshifts/outlier_fraction_bin_4': 0.1893017292022705, 'redshifts/outlier_fraction_bin_5': 0.09174752235412598, 'redshifts/outlier_fraction_cata': 0.08772823214530945, 'redshifts/outlier_fraction_cata_bin_0': 0.1308983862400055, 'redshifts/outlier_fraction_cata_bin_1': 0.09762944281101227, 'redshifts/outlier_fraction_cata_bin_2': 0.07880406081676483, 'redshifts/outlier_fraction_cata_bin_3': 0.05824693664908409, 'redshifts/outlier_fraction_cata_bin_4': 0.0586162731051445, 'redshifts/outlier_fraction_cata_bin_5': 0.016899455338716507}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1475/1563 [2:19:48<09:39, 6.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([92333.])\n", + "total num of pts: tensor([33311., 22454., 9370., 5307., 3125., 18766.])\n", + "{'redshifts/bias_abs': 0.07506256550550461, 'redshifts/bias_abs_bin_0': 0.14460574090480804, 'redshifts/bias_abs_bin_1': 0.0897429883480072, 'redshifts/bias_abs_bin_2': 0.05858338251709938, 'redshifts/bias_abs_bin_3': 0.047182902693748474, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.004396793898195028, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.0053649963811039925, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.3100380301475525, 'redshifts/mse_bin_0': 0.43505337834358215, 'redshifts/mse_bin_1': 0.3594302237033844, 'redshifts/mse_bin_2': 0.29515448212623596, 'redshifts/mse_bin_3': 0.2216491848230362, 'redshifts/mse_bin_4': 0.2336779087781906, 'redshifts/mse_bin_5': 0.07417124509811401, 'redshifts/nmad': 0.1110139787197113, 'redshifts/nmad_bin_0': 0.2109379768371582, 'redshifts/nmad_bin_1': 0.13289374113082886, 'redshifts/nmad_bin_2': 0.08656961470842361, 'redshifts/nmad_bin_3': 0.0707324892282486, 'redshifts/nmad_bin_4': 0.06422578543424606, 'redshifts/nmad_bin_5': 0.034896403551101685, 'redshifts/outlier_fraction': 0.3244452178478241, 'redshifts/outlier_fraction_bin_0': 0.4881870746612549, 'redshifts/outlier_fraction_bin_1': 0.35352274775505066, 'redshifts/outlier_fraction_bin_2': 0.25410884618759155, 'redshifts/outlier_fraction_bin_3': 0.20030148327350616, 'redshifts/outlier_fraction_bin_4': 0.18911999464035034, 'redshifts/outlier_fraction_bin_5': 0.09176169335842133, 'redshifts/outlier_fraction_cata': 0.08771511912345886, 'redshifts/outlier_fraction_cata_bin_0': 0.1309177130460739, 'redshifts/outlier_fraction_cata_bin_1': 0.09757726639509201, 'redshifts/outlier_fraction_cata_bin_2': 0.0787620097398758, 'redshifts/outlier_fraction_cata_bin_3': 0.058224987238645554, 'redshifts/outlier_fraction_cata_bin_4': 0.058559998869895935, 'redshifts/outlier_fraction_cata_bin_5': 0.01689225248992443}\n", + "total num of pts: tensor([92374.])\n", + "total num of pts: tensor([33329., 22459., 9373., 5309., 3127., 18777.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1476/1563 [2:19:54<09:12, 6.35s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.075053870677948, 'redshifts/bias_abs_bin_0': 0.14460574090480804, 'redshifts/bias_abs_bin_1': 0.08978765457868576, 'redshifts/bias_abs_bin_2': 0.05858338251709938, 'redshifts/bias_abs_bin_3': 0.047182902693748474, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02351030521094799, 'redshifts/bias': 0.0043938555754721165, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00022423811606131494, 'redshifts/mse': 0.3101145327091217, 'redshifts/mse_bin_0': 0.43524444103240967, 'redshifts/mse_bin_1': 0.3595782220363617, 'redshifts/mse_bin_2': 0.2950681447982788, 'redshifts/mse_bin_3': 0.2215873897075653, 'redshifts/mse_bin_4': 0.2335290014743805, 'redshifts/mse_bin_5': 0.07414190471172333, 'redshifts/nmad': 0.11100910604000092, 'redshifts/nmad_bin_0': 0.21086741983890533, 'redshifts/nmad_bin_1': 0.13289198279380798, 'redshifts/nmad_bin_2': 0.08657794445753098, 'redshifts/nmad_bin_3': 0.07076694071292877, 'redshifts/nmad_bin_4': 0.06409122049808502, 'redshifts/nmad_bin_5': 0.034890785813331604, 'redshifts/outlier_fraction': 0.324420303106308, 'redshifts/outlier_fraction_bin_0': 0.48819345235824585, 'redshifts/outlier_fraction_bin_1': 0.353488564491272, 'redshifts/outlier_fraction_bin_2': 0.25402751564979553, 'redshifts/outlier_fraction_bin_3': 0.2002260386943817, 'redshifts/outlier_fraction_bin_4': 0.18899904191493988, 'redshifts/outlier_fraction_bin_5': 0.09176119416952133, 'redshifts/outlier_fraction_cata': 0.08771948516368866, 'redshifts/outlier_fraction_cata_bin_0': 0.13093702495098114, 'redshifts/outlier_fraction_cata_bin_1': 0.0976000726222992, 'redshifts/outlier_fraction_cata_bin_2': 0.0787367969751358, 'redshifts/outlier_fraction_cata_bin_3': 0.05820305272936821, 'redshifts/outlier_fraction_cata_bin_4': 0.0585225448012352, 'redshifts/outlier_fraction_cata_bin_5': 0.016882356256246567}\n", + "total num of pts: tensor([92424.])\n", + "total num of pts: tensor([33347., 22470., 9376., 5309., 3130., 18792.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 1477/1563 [2:19:59<08:45, 6.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07504994422197342, 'redshifts/bias_abs_bin_0': 0.14462120831012726, 'redshifts/bias_abs_bin_1': 0.08978765457868576, 'redshifts/bias_abs_bin_2': 0.05858338251709938, 'redshifts/bias_abs_bin_3': 0.047182902693748474, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02350638620555401, 'redshifts/bias': 0.00438218517228961, 'redshifts/bias_bin_0': 0.028207454830408096, 'redshifts/bias_bin_1': 0.010412849485874176, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00022274615184869617, 'redshifts/mse': 0.31010568141937256, 'redshifts/mse_bin_0': 0.4352489709854126, 'redshifts/mse_bin_1': 0.3596588373184204, 'redshifts/mse_bin_2': 0.2950020134449005, 'redshifts/mse_bin_3': 0.2215873897075653, 'redshifts/mse_bin_4': 0.23331549763679504, 'redshifts/mse_bin_5': 0.07411662489175797, 'redshifts/nmad': 0.11099711805582047, 'redshifts/nmad_bin_0': 0.21088595688343048, 'redshifts/nmad_bin_1': 0.13286644220352173, 'redshifts/nmad_bin_2': 0.08657794445753098, 'redshifts/nmad_bin_3': 0.07076694071292877, 'redshifts/nmad_bin_4': 0.06408502906560898, 'redshifts/nmad_bin_5': 0.03488451987504959, 'redshifts/outlier_fraction': 0.3244287073612213, 'redshifts/outlier_fraction_bin_0': 0.48822981119155884, 'redshifts/outlier_fraction_bin_1': 0.35353803634643555, 'redshifts/outlier_fraction_bin_2': 0.25405290722846985, 'redshifts/outlier_fraction_bin_3': 0.2002260386943817, 'redshifts/outlier_fraction_bin_4': 0.18881788849830627, 'redshifts/outlier_fraction_bin_5': 0.0917411670088768, 'redshifts/outlier_fraction_cata': 0.08771531283855438, 'redshifts/outlier_fraction_cata_bin_0': 0.13095630705356598, 'redshifts/outlier_fraction_cata_bin_1': 0.09759679436683655, 'redshifts/outlier_fraction_cata_bin_2': 0.0787116065621376, 'redshifts/outlier_fraction_cata_bin_3': 0.05820305272936821, 'redshifts/outlier_fraction_cata_bin_4': 0.05846645310521126, 'redshifts/outlier_fraction_cata_bin_5': 0.01686888001859188}\n", + "total num of pts: tensor([92479.])\n", + "total num of pts: tensor([33363., 22482., 9385., 5311., 3130., 18808.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▍| 1478/1563 [2:20:04<07:58, 5.63s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07503461092710495, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.08984805643558502, 'redshifts/bias_abs_bin_2': 0.05858338251709938, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02350468561053276, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.02815573289990425, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.0053649963811039925, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.31006568670272827, 'redshifts/mse_bin_0': 0.43516725301742554, 'redshifts/mse_bin_1': 0.35976627469062805, 'redshifts/mse_bin_2': 0.2949623167514801, 'redshifts/mse_bin_3': 0.22150397300720215, 'redshifts/mse_bin_4': 0.23331549763679504, 'redshifts/mse_bin_5': 0.07405892014503479, 'redshifts/nmad': 0.1109919473528862, 'redshifts/nmad_bin_0': 0.2109127938747406, 'redshifts/nmad_bin_1': 0.13289916515350342, 'redshifts/nmad_bin_2': 0.08658704906702042, 'redshifts/nmad_bin_3': 0.0707324892282486, 'redshifts/nmad_bin_4': 0.06408502906560898, 'redshifts/nmad_bin_5': 0.034882668405771255, 'redshifts/outlier_fraction': 0.3244520425796509, 'redshifts/outlier_fraction_bin_0': 0.48829540610313416, 'redshifts/outlier_fraction_bin_1': 0.3536607027053833, 'redshifts/outlier_fraction_bin_2': 0.25402238965034485, 'redshifts/outlier_fraction_bin_3': 0.20015062391757965, 'redshifts/outlier_fraction_bin_4': 0.18881788849830627, 'redshifts/outlier_fraction_bin_5': 0.09171628952026367, 'redshifts/outlier_fraction_cata': 0.08768477290868759, 'redshifts/outlier_fraction_cata_bin_0': 0.1308934986591339, 'redshifts/outlier_fraction_cata_bin_1': 0.09758917987346649, 'redshifts/outlier_fraction_cata_bin_2': 0.07874267548322678, 'redshifts/outlier_fraction_cata_bin_3': 0.05818113312125206, 'redshifts/outlier_fraction_cata_bin_4': 0.05846645310521126, 'redshifts/outlier_fraction_cata_bin_5': 0.016854530200362206}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▍| 1479/1563 [2:20:10<08:14, 5.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([92539.])\n", + "total num of pts: tensor([33383., 22493., 9393., 5317., 3131., 18822.])\n", + "{'redshifts/bias_abs': 0.07505329698324203, 'redshifts/bias_abs_bin_0': 0.1446303427219391, 'redshifts/bias_abs_bin_1': 0.08985878527164459, 'redshifts/bias_abs_bin_2': 0.058584749698638916, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.0043840566650033, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.0053649963811039925, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00022534903837367892, 'redshifts/mse': 0.31011873483657837, 'redshifts/mse_bin_0': 0.43508636951446533, 'redshifts/mse_bin_1': 0.3603104054927826, 'redshifts/mse_bin_2': 0.29479101300239563, 'redshifts/mse_bin_3': 0.2212660163640976, 'redshifts/mse_bin_4': 0.23324105143547058, 'redshifts/mse_bin_5': 0.07403044402599335, 'redshifts/nmad': 0.11099771410226822, 'redshifts/nmad_bin_0': 0.21097519993782043, 'redshifts/nmad_bin_1': 0.1329132616519928, 'redshifts/nmad_bin_2': 0.08662136644124985, 'redshifts/nmad_bin_3': 0.07064712047576904, 'redshifts/nmad_bin_4': 0.06404809653759003, 'redshifts/nmad_bin_5': 0.03488926962018013, 'redshifts/outlier_fraction': 0.3244577944278717, 'redshifts/outlier_fraction_bin_0': 0.488272488117218, 'redshifts/outlier_fraction_bin_1': 0.3537544906139374, 'redshifts/outlier_fraction_bin_2': 0.25423187017440796, 'redshifts/outlier_fraction_bin_3': 0.1999247670173645, 'redshifts/outlier_fraction_bin_4': 0.18875758349895477, 'redshifts/outlier_fraction_bin_5': 0.0917012020945549, 'redshifts/outlier_fraction_cata': 0.08768194913864136, 'redshifts/outlier_fraction_cata_bin_0': 0.13084504008293152, 'redshifts/outlier_fraction_cata_bin_1': 0.09771928936243057, 'redshifts/outlier_fraction_cata_bin_2': 0.07867561280727386, 'redshifts/outlier_fraction_cata_bin_3': 0.05811547860503197, 'redshifts/outlier_fraction_cata_bin_4': 0.05844778195023537, 'redshifts/outlier_fraction_cata_bin_5': 0.016841992735862732}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▍| 1480/1563 [2:20:17<08:19, 6.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([92592.])\n", + "total num of pts: tensor([33404., 22508., 9396., 5320., 3132., 18832.])\n", + "{'redshifts/bias_abs': 0.0750778317451477, 'redshifts/bias_abs_bin_0': 0.1446411907672882, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.058584749698638916, 'redshifts/bias_abs_bin_3': 0.047083981335163116, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.004379866179078817, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00022336999245453626, 'redshifts/mse': 0.3101519048213959, 'redshifts/mse_bin_0': 0.4351375997066498, 'redshifts/mse_bin_1': 0.36043745279312134, 'redshifts/mse_bin_2': 0.2947017252445221, 'redshifts/mse_bin_3': 0.22117452323436737, 'redshifts/mse_bin_4': 0.233188658952713, 'redshifts/mse_bin_5': 0.07399657368659973, 'redshifts/nmad': 0.11100918054580688, 'redshifts/nmad_bin_0': 0.21097519993782043, 'redshifts/nmad_bin_1': 0.13298189640045166, 'redshifts/nmad_bin_2': 0.08662136644124985, 'redshifts/nmad_bin_3': 0.07074771821498871, 'redshifts/nmad_bin_4': 0.06408502906560898, 'redshifts/nmad_bin_5': 0.034898482263088226, 'redshifts/outlier_fraction': 0.32447728514671326, 'redshifts/outlier_fraction_bin_0': 0.48832476139068604, 'redshifts/outlier_fraction_bin_1': 0.35378530621528625, 'redshifts/outlier_fraction_bin_2': 0.2541506886482239, 'redshifts/outlier_fraction_bin_3': 0.19981202483177185, 'redshifts/outlier_fraction_bin_4': 0.18869732320308685, 'redshifts/outlier_fraction_bin_5': 0.09170560538768768, 'redshifts/outlier_fraction_cata': 0.08768576383590698, 'redshifts/outlier_fraction_cata_bin_0': 0.1308525949716568, 'redshifts/outlier_fraction_cata_bin_1': 0.09774302691221237, 'redshifts/outlier_fraction_cata_bin_2': 0.07865048944950104, 'redshifts/outlier_fraction_cata_bin_3': 0.0580827072262764, 'redshifts/outlier_fraction_cata_bin_4': 0.05842911824584007, 'redshifts/outlier_fraction_cata_bin_5': 0.016833050176501274}\n", + "total num of pts: tensor([92661.])\n", + "total num of pts: tensor([33425., 22523., 9402., 5323., 3135., 18853.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▍| 1481/1563 [2:20:23<08:20, 6.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07508229464292526, 'redshifts/bias_abs_bin_0': 0.1446320116519928, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.058584749698638916, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004367757122963667, 'redshifts/bias_bin_0': 0.028207454830408096, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.3101186156272888, 'redshifts/mse_bin_0': 0.4349968731403351, 'redshifts/mse_bin_1': 0.36049845814704895, 'redshifts/mse_bin_2': 0.29519397020339966, 'redshifts/mse_bin_3': 0.22106130421161652, 'redshifts/mse_bin_4': 0.23300941288471222, 'redshifts/mse_bin_5': 0.07394100725650787, 'redshifts/nmad': 0.11100361496210098, 'redshifts/nmad_bin_0': 0.21088595688343048, 'redshifts/nmad_bin_1': 0.13307876884937286, 'redshifts/nmad_bin_2': 0.08661412447690964, 'redshifts/nmad_bin_3': 0.0707455426454544, 'redshifts/nmad_bin_4': 0.06421500444412231, 'redshifts/nmad_bin_5': 0.03492540121078491, 'redshifts/outlier_fraction': 0.3244946599006653, 'redshifts/outlier_fraction_bin_0': 0.48828721046447754, 'redshifts/outlier_fraction_bin_1': 0.3538604974746704, 'redshifts/outlier_fraction_bin_2': 0.2543075978755951, 'redshifts/outlier_fraction_bin_3': 0.19988727569580078, 'redshifts/outlier_fraction_bin_4': 0.1888357251882553, 'redshifts/outlier_fraction_bin_5': 0.09176258742809296, 'redshifts/outlier_fraction_cata': 0.08766363561153412, 'redshifts/outlier_fraction_cata_bin_0': 0.13083021342754364, 'redshifts/outlier_fraction_cata_bin_1': 0.09772232919931412, 'redshifts/outlier_fraction_cata_bin_2': 0.07870665937662125, 'redshifts/outlier_fraction_cata_bin_3': 0.05804997310042381, 'redshifts/outlier_fraction_cata_bin_4': 0.05837320536375046, 'redshifts/outlier_fraction_cata_bin_5': 0.016814300790429115}\n", + "total num of pts: tensor([92727.])\n", + "total num of pts: tensor([33440., 22545., 9408., 5327., 3137., 18870.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▍| 1482/1563 [2:20:30<08:23, 6.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07507333159446716, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05858338251709938, 'redshifts/bias_abs_bin_3': 0.047213051468133926, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004362151026725769, 'redshifts/bias_bin_0': 0.028133561834692955, 'redshifts/bias_bin_1': 0.010321501642465591, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00022423811606131494, 'redshifts/mse': 0.31010115146636963, 'redshifts/mse_bin_0': 0.43506789207458496, 'redshifts/mse_bin_1': 0.3604535460472107, 'redshifts/mse_bin_2': 0.29525548219680786, 'redshifts/mse_bin_3': 0.22100980579853058, 'redshifts/mse_bin_4': 0.23286572098731995, 'redshifts/mse_bin_5': 0.07387732714414597, 'redshifts/nmad': 0.11100702732801437, 'redshifts/nmad_bin_0': 0.21097587049007416, 'redshifts/nmad_bin_1': 0.13308025896549225, 'redshifts/nmad_bin_2': 0.08658704906702042, 'redshifts/nmad_bin_3': 0.07092379033565521, 'redshifts/nmad_bin_4': 0.064171202480793, 'redshifts/nmad_bin_5': 0.03491564467549324, 'redshifts/outlier_fraction': 0.3244793713092804, 'redshifts/outlier_fraction_bin_0': 0.48839712142944336, 'redshifts/outlier_fraction_bin_1': 0.3538256883621216, 'redshifts/outlier_fraction_bin_2': 0.2542516887187958, 'redshifts/outlier_fraction_bin_3': 0.19992491602897644, 'redshifts/outlier_fraction_bin_4': 0.18871533870697021, 'redshifts/outlier_fraction_bin_5': 0.09167991578578949, 'redshifts/outlier_fraction_cata': 0.08766594529151917, 'redshifts/outlier_fraction_cata_bin_0': 0.13086123764514923, 'redshifts/outlier_fraction_cata_bin_1': 0.09771568328142166, 'redshifts/outlier_fraction_cata_bin_2': 0.07876275479793549, 'redshifts/outlier_fraction_cata_bin_3': 0.05800638347864151, 'redshifts/outlier_fraction_cata_bin_4': 0.05833598971366882, 'redshifts/outlier_fraction_cata_bin_5': 0.01679915189743042}\n", + "total num of pts: tensor([92799.])\n", + "total num of pts: tensor([33468., 22564., 9411., 5333., 3139., 18884.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▍| 1483/1563 [2:20:37<08:42, 6.53s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0750374048948288, 'redshifts/bias_abs_bin_0': 0.14470174908638, 'redshifts/bias_abs_bin_1': 0.08987556397914886, 'redshifts/bias_abs_bin_2': 0.05855393409729004, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023534510284662247, 'redshifts/bias': 0.00435149809345603, 'redshifts/bias_bin_0': 0.028058385476469994, 'redshifts/bias_bin_1': 0.010314642451703548, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00022336999245453626, 'redshifts/mse': 0.3101540803909302, 'redshifts/mse_bin_0': 0.43511807918548584, 'redshifts/mse_bin_1': 0.3607398569583893, 'redshifts/mse_bin_2': 0.29516181349754333, 'redshifts/mse_bin_3': 0.22076457738876343, 'redshifts/mse_bin_4': 0.23271864652633667, 'redshifts/mse_bin_5': 0.0738246813416481, 'redshifts/nmad': 0.11098315566778183, 'redshifts/nmad_bin_0': 0.2110704630613327, 'redshifts/nmad_bin_1': 0.13298636674880981, 'redshifts/nmad_bin_2': 0.08654873073101044, 'redshifts/nmad_bin_3': 0.0707455426454544, 'redshifts/nmad_bin_4': 0.06405489146709442, 'redshifts/nmad_bin_5': 0.034905485808849335, 'redshifts/outlier_fraction': 0.3244539201259613, 'redshifts/outlier_fraction_bin_0': 0.4884367287158966, 'redshifts/outlier_fraction_bin_1': 0.3537936508655548, 'redshifts/outlier_fraction_bin_2': 0.25417065620422363, 'redshifts/outlier_fraction_bin_3': 0.1996999830007553, 'redshifts/outlier_fraction_bin_4': 0.18859510123729706, 'redshifts/outlier_fraction_bin_5': 0.09161194413900375, 'redshifts/outlier_fraction_cata': 0.08769491314888, 'redshifts/outlier_fraction_cata_bin_0': 0.13090115785598755, 'redshifts/outlier_fraction_cata_bin_1': 0.09781067073345184, 'redshifts/outlier_fraction_cata_bin_2': 0.07873764634132385, 'redshifts/outlier_fraction_cata_bin_3': 0.057941120117902756, 'redshifts/outlier_fraction_cata_bin_4': 0.05829882249236107, 'redshifts/outlier_fraction_cata_bin_5': 0.016786698251962662}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▍| 1484/1563 [2:20:41<07:46, 5.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([92849.])\n", + "total num of pts: tensor([33487., 22574., 9415., 5333., 3141., 18899.])\n", + "{'redshifts/bias_abs': 0.07501763105392456, 'redshifts/bias_abs_bin_0': 0.14465361833572388, 'redshifts/bias_abs_bin_1': 0.08987494558095932, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.04713888838887215, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.0235309898853302, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00021857023239135742, 'redshifts/mse': 0.3100947439670563, 'redshifts/mse_bin_0': 0.43515050411224365, 'redshifts/mse_bin_1': 0.36059334874153137, 'redshifts/mse_bin_2': 0.29503896832466125, 'redshifts/mse_bin_3': 0.22076457738876343, 'redshifts/mse_bin_4': 0.23260819911956787, 'redshifts/mse_bin_5': 0.07377665489912033, 'redshifts/nmad': 0.11097276210784912, 'redshifts/nmad_bin_0': 0.21108053624629974, 'redshifts/nmad_bin_1': 0.1329730898141861, 'redshifts/nmad_bin_2': 0.08642962574958801, 'redshifts/nmad_bin_3': 0.0707455426454544, 'redshifts/nmad_bin_4': 0.06412012875080109, 'redshifts/nmad_bin_5': 0.03490953519940376, 'redshifts/outlier_fraction': 0.3243976831436157, 'redshifts/outlier_fraction_bin_0': 0.4883686304092407, 'redshifts/outlier_fraction_bin_1': 0.3536369204521179, 'redshifts/outlier_fraction_bin_2': 0.2540626525878906, 'redshifts/outlier_fraction_bin_3': 0.1996999830007553, 'redshifts/outlier_fraction_bin_4': 0.1887933760881424, 'redshifts/outlier_fraction_bin_5': 0.09169797599315643, 'redshifts/outlier_fraction_cata': 0.08766922354698181, 'redshifts/outlier_fraction_cata_bin_0': 0.13088661432266235, 'redshifts/outlier_fraction_cata_bin_1': 0.09776734560728073, 'redshifts/outlier_fraction_cata_bin_2': 0.07870419323444366, 'redshifts/outlier_fraction_cata_bin_3': 0.057941120117902756, 'redshifts/outlier_fraction_cata_bin_4': 0.058261699974536896, 'redshifts/outlier_fraction_cata_bin_5': 0.016773374751210213}\n", + "total num of pts: tensor([92921.])\n", + "total num of pts: tensor([33509., 22593., 9420., 5341., 3141., 18917.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 1485/1563 [2:20:53<09:59, 7.69s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07500356435775757, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05848308652639389, 'redshifts/bias_abs_bin_3': 0.046980805695056915, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004334896802902222, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.3100113272666931, 'redshifts/mse_bin_0': 0.4351581335067749, 'redshifts/mse_bin_1': 0.3604251742362976, 'redshifts/mse_bin_2': 0.2949177920818329, 'redshifts/mse_bin_3': 0.2204544097185135, 'redshifts/mse_bin_4': 0.23260819911956787, 'redshifts/mse_bin_5': 0.07377254962921143, 'redshifts/nmad': 0.11098287254571915, 'redshifts/nmad_bin_0': 0.2110939770936966, 'redshifts/nmad_bin_1': 0.1330469399690628, 'redshifts/nmad_bin_2': 0.08620119094848633, 'redshifts/nmad_bin_3': 0.07069292664527893, 'redshifts/nmad_bin_4': 0.06412012875080109, 'redshifts/nmad_bin_5': 0.034914568066596985, 'redshifts/outlier_fraction': 0.32440459728240967, 'redshifts/outlier_fraction_bin_0': 0.48840609192848206, 'redshifts/outlier_fraction_bin_1': 0.3536936342716217, 'redshifts/outlier_fraction_bin_2': 0.25403398275375366, 'redshifts/outlier_fraction_bin_3': 0.1995880901813507, 'redshifts/outlier_fraction_bin_4': 0.1887933760881424, 'redshifts/outlier_fraction_bin_5': 0.09171644598245621, 'redshifts/outlier_fraction_cata': 0.0876658633351326, 'redshifts/outlier_fraction_cata_bin_0': 0.13092005252838135, 'redshifts/outlier_fraction_cata_bin_1': 0.0977293848991394, 'redshifts/outlier_fraction_cata_bin_2': 0.07866241782903671, 'redshifts/outlier_fraction_cata_bin_3': 0.05785433575510979, 'redshifts/outlier_fraction_cata_bin_4': 0.058261699974536896, 'redshifts/outlier_fraction_cata_bin_5': 0.016810275614261627}\n", + "total num of pts: tensor([92979.])\n", + "total num of pts: tensor([33528., 22608., 9426., 5344., 3145., 18928.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 1486/1563 [2:20:58<08:57, 6.98s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0749940425157547, 'redshifts/bias_abs_bin_0': 0.14468763768672943, 'redshifts/bias_abs_bin_1': 0.08987556397914886, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.04694978520274162, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023534510284662247, 'redshifts/bias': 0.004333972930908203, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.00020624279568437487, 'redshifts/mse': 0.30990731716156006, 'redshifts/mse_bin_0': 0.43503594398498535, 'redshifts/mse_bin_1': 0.36033380031585693, 'redshifts/mse_bin_2': 0.2947447597980499, 'redshifts/mse_bin_3': 0.22033120691776276, 'redshifts/mse_bin_4': 0.23250830173492432, 'redshifts/mse_bin_5': 0.07373173534870148, 'redshifts/nmad': 0.11094781011343002, 'redshifts/nmad_bin_0': 0.2111116498708725, 'redshifts/nmad_bin_1': 0.13302235305309296, 'redshifts/nmad_bin_2': 0.08614642918109894, 'redshifts/nmad_bin_3': 0.07061509788036346, 'redshifts/nmad_bin_4': 0.06410586088895798, 'redshifts/nmad_bin_5': 0.03490598127245903, 'redshifts/outlier_fraction': 0.3243958353996277, 'redshifts/outlier_fraction_bin_0': 0.4884275794029236, 'redshifts/outlier_fraction_bin_1': 0.3536801040172577, 'redshifts/outlier_fraction_bin_2': 0.2539783716201782, 'redshifts/outlier_fraction_bin_3': 0.19947604835033417, 'redshifts/outlier_fraction_bin_4': 0.18918919563293457, 'redshifts/outlier_fraction_bin_5': 0.09166314452886581, 'redshifts/outlier_fraction_cata': 0.08762193471193314, 'redshifts/outlier_fraction_cata_bin_0': 0.13084585964679718, 'redshifts/outlier_fraction_cata_bin_1': 0.09770877659320831, 'redshifts/outlier_fraction_cata_bin_2': 0.07861234992742538, 'redshifts/outlier_fraction_cata_bin_3': 0.0578218549489975, 'redshifts/outlier_fraction_cata_bin_4': 0.05818760022521019, 'redshifts/outlier_fraction_cata_bin_5': 0.01680050790309906}\n", + "total num of pts: tensor([93066.])\n", + "total num of pts: tensor([33555., 22627., 9431., 5352., 3147., 18954.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 1487/1563 [2:21:03<07:57, 6.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07497673481702805, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.04694630205631256, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023534510284662247, 'redshifts/bias': 0.004332102369517088, 'redshifts/bias_bin_0': 0.028032446280121803, 'redshifts/bias_bin_1': 0.010290372185409069, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.00019935096497647464, 'redshifts/mse': 0.31001174449920654, 'redshifts/mse_bin_0': 0.43516185879707336, 'redshifts/mse_bin_1': 0.3605668842792511, 'redshifts/mse_bin_2': 0.29522332549095154, 'redshifts/mse_bin_3': 0.22003866732120514, 'redshifts/mse_bin_4': 0.23306778073310852, 'redshifts/mse_bin_5': 0.07364006340503693, 'redshifts/nmad': 0.11093836277723312, 'redshifts/nmad_bin_0': 0.21117186546325684, 'redshifts/nmad_bin_1': 0.1330340951681137, 'redshifts/nmad_bin_2': 0.08615018427371979, 'redshifts/nmad_bin_3': 0.07060706615447998, 'redshifts/nmad_bin_4': 0.06417276710271835, 'redshifts/nmad_bin_5': 0.0349104218184948, 'redshifts/outlier_fraction': 0.32442566752433777, 'redshifts/outlier_fraction_bin_0': 0.4885709881782532, 'redshifts/outlier_fraction_bin_1': 0.35382506251335144, 'redshifts/outlier_fraction_bin_2': 0.25405576825141907, 'redshifts/outlier_fraction_bin_3': 0.19917787611484528, 'redshifts/outlier_fraction_bin_4': 0.18938671052455902, 'redshifts/outlier_fraction_bin_5': 0.09153740853071213, 'redshifts/outlier_fraction_cata': 0.08765821903944016, 'redshifts/outlier_fraction_cata_bin_0': 0.13085977733135223, 'redshifts/outlier_fraction_cata_bin_1': 0.09784770756959915, 'redshifts/outlier_fraction_cata_bin_2': 0.07867670804262161, 'redshifts/outlier_fraction_cata_bin_3': 0.05773542448878288, 'redshifts/outlier_fraction_cata_bin_4': 0.05846838280558586, 'redshifts/outlier_fraction_cata_bin_5': 0.016777461394667625}\n", + "total num of pts: tensor([93134.])\n", + "total num of pts: tensor([33576., 22646., 9441., 5354., 3147., 18970.])\n", + "{'redshifts/bias_abs': 0.07499217242002487, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.08998534828424454, 'redshifts/bias_abs_bin_2': 0.05848308652639389, 'redshifts/bias_abs_bin_3': 0.04687461629509926, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004330319352447987, 'redshifts/bias_bin_0': 0.028011253103613853, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.006598957814276218, 'redshifts/bias_bin_5': 0.00019935096497647464, 'redshifts/mse': 0.3099800944328308, 'redshifts/mse_bin_0': 0.4352228045463562, 'redshifts/mse_bin_1': 0.3605036437511444, 'redshifts/mse_bin_2': 0.2950514554977417, 'redshifts/mse_bin_3': 0.21995709836483002, 'redshifts/mse_bin_4': 0.23306778073310852, 'redshifts/mse_bin_5': 0.07358863949775696, 'redshifts/nmad': 0.11094256490468979, 'redshifts/nmad_bin_0': 0.21129241585731506, 'redshifts/nmad_bin_1': 0.13312117755413055, 'redshifts/nmad_bin_2': 0.08615501970052719, 'redshifts/nmad_bin_3': 0.07049636542797089, 'redshifts/nmad_bin_4': 0.06417276710271835, 'redshifts/nmad_bin_5': 0.03492269292473793, 'redshifts/outlier_fraction': 0.32445722818374634, 'redshifts/outlier_fraction_bin_0': 0.4886823892593384, 'redshifts/outlier_fraction_bin_1': 0.3538373112678528, 'redshifts/outlier_fraction_bin_2': 0.2541044354438782, 'redshifts/outlier_fraction_bin_3': 0.1991034746170044, 'redshifts/outlier_fraction_bin_4': 0.18938671052455902, 'redshifts/outlier_fraction_bin_5': 0.09151291847229004, 'redshifts/outlier_fraction_cata': 0.08764790743589401, 'redshifts/outlier_fraction_cata_bin_0': 0.13086728751659393, 'redshifts/outlier_fraction_cata_bin_1': 0.09785392880439758, 'redshifts/outlier_fraction_cata_bin_2': 0.07859336584806442, 'redshifts/outlier_fraction_cata_bin_3': 0.05771385878324509, 'redshifts/outlier_fraction_cata_bin_4': 0.05846838280558586, 'redshifts/outlier_fraction_cata_bin_5': 0.016763310879468918}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 1488/1563 [2:21:07<07:00, 5.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([93202.])\n", + "total num of pts: tensor([33605., 22658., 9447., 5360., 3149., 18983.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 1489/1563 [2:21:12<06:47, 5.51s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07500356435775757, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.08998534828424454, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023550275713205338, 'redshifts/bias': 0.004333061631768942, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.0053649963811039925, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00020624279568437487, 'redshifts/mse': 0.31008151173591614, 'redshifts/mse_bin_0': 0.43551045656204224, 'redshifts/mse_bin_1': 0.3604312837123871, 'redshifts/mse_bin_2': 0.2950149178504944, 'redshifts/mse_bin_3': 0.21971741318702698, 'redshifts/mse_bin_4': 0.23337331414222717, 'redshifts/mse_bin_5': 0.07367853075265884, 'redshifts/nmad': 0.11096151918172836, 'redshifts/nmad_bin_0': 0.21143360435962677, 'redshifts/nmad_bin_1': 0.13312117755413055, 'redshifts/nmad_bin_2': 0.08620119094848633, 'redshifts/nmad_bin_3': 0.07040652632713318, 'redshifts/nmad_bin_4': 0.06426765769720078, 'redshifts/nmad_bin_5': 0.03493087738752365, 'redshifts/outlier_fraction': 0.32455313205718994, 'redshifts/outlier_fraction_bin_0': 0.48882606625556946, 'redshifts/outlier_fraction_bin_1': 0.3537823259830475, 'redshifts/outlier_fraction_bin_2': 0.2543664574623108, 'redshifts/outlier_fraction_bin_3': 0.19888059794902802, 'redshifts/outlier_fraction_bin_4': 0.18958400189876556, 'redshifts/outlier_fraction_bin_5': 0.09166096150875092, 'redshifts/outlier_fraction_cata': 0.08766978979110718, 'redshifts/outlier_fraction_cata_bin_0': 0.13090313971042633, 'redshifts/outlier_fraction_cata_bin_1': 0.09784623235464096, 'redshifts/outlier_fraction_cata_bin_2': 0.07854345440864563, 'redshifts/outlier_fraction_cata_bin_3': 0.05764925479888916, 'redshifts/outlier_fraction_cata_bin_4': 0.05874880775809288, 'redshifts/outlier_fraction_cata_bin_5': 0.016804508864879608}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 1490/1563 [2:21:17<06:24, 5.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([93266.])\n", + "total num of pts: tensor([33627., 22674., 9451., 5366., 3153., 18995.])\n", + "{'redshifts/bias_abs': 0.0749959945678711, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.0899895429611206, 'redshifts/bias_abs_bin_2': 0.05848308652639389, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004333972930908203, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.010312800295650959, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.3099853992462158, 'redshifts/mse_bin_0': 0.43538275361061096, 'redshifts/mse_bin_1': 0.3604062795639038, 'redshifts/mse_bin_2': 0.2949112057685852, 'redshifts/mse_bin_3': 0.2194753736257553, 'redshifts/mse_bin_4': 0.23312531411647797, 'redshifts/mse_bin_5': 0.0736333429813385, 'redshifts/nmad': 0.11095011979341507, 'redshifts/nmad_bin_0': 0.21143360435962677, 'redshifts/nmad_bin_1': 0.13312271237373352, 'redshifts/nmad_bin_2': 0.08617892116308212, 'redshifts/nmad_bin_3': 0.0702558308839798, 'redshifts/nmad_bin_4': 0.06427481025457382, 'redshifts/nmad_bin_5': 0.03491959348320961, 'redshifts/outlier_fraction': 0.32455557584762573, 'redshifts/outlier_fraction_bin_0': 0.48883336782455444, 'redshifts/outlier_fraction_bin_1': 0.3538855016231537, 'redshifts/outlier_fraction_bin_2': 0.25436460971832275, 'redshifts/outlier_fraction_bin_3': 0.19865821301937103, 'redshifts/outlier_fraction_bin_4': 0.18966063857078552, 'redshifts/outlier_fraction_bin_5': 0.09160305559635162, 'redshifts/outlier_fraction_cata': 0.08762035518884659, 'redshifts/outlier_fraction_cata_bin_0': 0.1308175027370453, 'redshifts/outlier_fraction_cata_bin_1': 0.09782129526138306, 'redshifts/outlier_fraction_cata_bin_2': 0.07851020991802216, 'redshifts/outlier_fraction_cata_bin_3': 0.057584792375564575, 'redshifts/outlier_fraction_cata_bin_4': 0.05867427960038185, 'redshifts/outlier_fraction_cata_bin_5': 0.01679389365017414}\n", + "total num of pts: tensor([93326.])\n", + "total num of pts: tensor([33650., 22686., 9458., 5368., 3155., 19009.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 1491/1563 [2:21:22<06:18, 5.25s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0749940425157547, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.08998534828424454, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.00432664155960083, 'redshifts/bias_bin_0': 0.02800634875893593, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.0053649963811039925, 'redshifts/bias_bin_4': -0.006633332464843988, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.30993223190307617, 'redshifts/mse_bin_0': 0.435279905796051, 'redshifts/mse_bin_1': 0.3603098392486572, 'redshifts/mse_bin_2': 0.29469844698905945, 'redshifts/mse_bin_3': 0.21940967440605164, 'redshifts/mse_bin_4': 0.23298384249210358, 'redshifts/mse_bin_5': 0.07383086532354355, 'redshifts/nmad': 0.11093924939632416, 'redshifts/nmad_bin_0': 0.21130497753620148, 'redshifts/nmad_bin_1': 0.13312117755413055, 'redshifts/nmad_bin_2': 0.08611128479242325, 'redshifts/nmad_bin_3': 0.0702281966805458, 'redshifts/nmad_bin_4': 0.06422373652458191, 'redshifts/nmad_bin_5': 0.03491959348320961, 'redshifts/outlier_fraction': 0.3245076537132263, 'redshifts/outlier_fraction_bin_0': 0.48876672983169556, 'redshifts/outlier_fraction_bin_1': 0.3538746237754822, 'redshifts/outlier_fraction_bin_2': 0.2541763484477997, 'redshifts/outlier_fraction_bin_3': 0.19877049326896667, 'redshifts/outlier_fraction_bin_4': 0.18954041600227356, 'redshifts/outlier_fraction_bin_5': 0.09158819168806076, 'redshifts/outlier_fraction_cata': 0.08760688453912735, 'redshifts/outlier_fraction_cata_bin_0': 0.13078752160072327, 'redshifts/outlier_fraction_cata_bin_1': 0.09781362861394882, 'redshifts/outlier_fraction_cata_bin_2': 0.07845210283994675, 'redshifts/outlier_fraction_cata_bin_3': 0.05756333842873573, 'redshifts/outlier_fraction_cata_bin_4': 0.05863708257675171, 'redshifts/outlier_fraction_cata_bin_5': 0.016834130510687828}\n", + "total num of pts: tensor([93400.])\n", + "total num of pts: tensor([33684., 22702., 9462., 5372., 3157., 19023.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 1492/1563 [2:21:27<05:59, 5.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07499001175165176, 'redshifts/bias_abs_bin_0': 0.14477525651454926, 'redshifts/bias_abs_bin_1': 0.08998866379261017, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02354501001536846, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.028032446280121803, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006667783949524164, 'redshifts/bias_bin_5': 0.00020624279568437487, 'redshifts/mse': 0.30998411774635315, 'redshifts/mse_bin_0': 0.4353245198726654, 'redshifts/mse_bin_1': 0.36046066880226135, 'redshifts/mse_bin_2': 0.29459553956985474, 'redshifts/mse_bin_3': 0.2192584127187729, 'redshifts/mse_bin_4': 0.23317979276180267, 'redshifts/mse_bin_5': 0.07382553070783615, 'redshifts/nmad': 0.11094050854444504, 'redshifts/nmad_bin_0': 0.21129050850868225, 'redshifts/nmad_bin_1': 0.13313013315200806, 'redshifts/nmad_bin_2': 0.08611128479242325, 'redshifts/nmad_bin_3': 0.07022123038768768, 'redshifts/nmad_bin_4': 0.06427481025457382, 'redshifts/nmad_bin_5': 0.03492064028978348, 'redshifts/outlier_fraction': 0.3244967758655548, 'redshifts/outlier_fraction_bin_0': 0.48868900537490845, 'redshifts/outlier_fraction_bin_1': 0.353889524936676, 'redshifts/outlier_fraction_bin_2': 0.2541745901107788, 'redshifts/outlier_fraction_bin_3': 0.19862248003482819, 'redshifts/outlier_fraction_bin_4': 0.18973709642887115, 'redshifts/outlier_fraction_bin_5': 0.09157335758209229, 'redshifts/outlier_fraction_cata': 0.08761242032051086, 'redshifts/outlier_fraction_cata_bin_0': 0.1307445615530014, 'redshifts/outlier_fraction_cata_bin_1': 0.09787683933973312, 'redshifts/outlier_fraction_cata_bin_2': 0.07841894030570984, 'redshifts/outlier_fraction_cata_bin_3': 0.05752047523856163, 'redshifts/outlier_fraction_cata_bin_4': 0.058916691690683365, 'redshifts/outlier_fraction_cata_bin_5': 0.016821742057800293}\n", + "total num of pts: tensor([93463.])\n", + "total num of pts: tensor([33709., 22716., 9468., 5376., 3159., 19035.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1493/1563 [2:21:34<06:30, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07499001175165176, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.08998534828424454, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023540319874882698, 'redshifts/bias': 0.004333061631768942, 'redshifts/bias_bin_0': 0.028058385476469994, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006697326898574829, 'redshifts/bias_bin_5': 0.00019935096497647464, 'redshifts/mse': 0.3099619746208191, 'redshifts/mse_bin_0': 0.4353272318840027, 'redshifts/mse_bin_1': 0.3604189455509186, 'redshifts/mse_bin_2': 0.2944198548793793, 'redshifts/mse_bin_3': 0.219342440366745, 'redshifts/mse_bin_4': 0.23303449153900146, 'redshifts/mse_bin_5': 0.07382871210575104, 'redshifts/nmad': 0.11094030737876892, 'redshifts/nmad_bin_0': 0.21135398745536804, 'redshifts/nmad_bin_1': 0.13311898708343506, 'redshifts/nmad_bin_2': 0.08610567450523376, 'redshifts/nmad_bin_3': 0.07026107609272003, 'redshifts/nmad_bin_4': 0.06421500444412231, 'redshifts/nmad_bin_5': 0.03491619974374771, 'redshifts/outlier_fraction': 0.3245348334312439, 'redshifts/outlier_fraction_bin_0': 0.48871222138404846, 'redshifts/outlier_fraction_bin_1': 0.3539355397224426, 'redshifts/outlier_fraction_bin_2': 0.2541191279888153, 'redshifts/outlier_fraction_bin_3': 0.1990327388048172, 'redshifts/outlier_fraction_bin_4': 0.18961696326732635, 'redshifts/outlier_fraction_bin_5': 0.09156816452741623, 'redshifts/outlier_fraction_cata': 0.08759616315364838, 'redshifts/outlier_fraction_cata_bin_0': 0.13070693612098694, 'redshifts/outlier_fraction_cata_bin_1': 0.09790456295013428, 'redshifts/outlier_fraction_cata_bin_2': 0.07836924493312836, 'redshifts/outlier_fraction_cata_bin_3': 0.0574776791036129, 'redshifts/outlier_fraction_cata_bin_4': 0.058879390358924866, 'redshifts/outlier_fraction_cata_bin_5': 0.01681113801896572}\n", + "total num of pts: tensor([93531.])\n", + "total num of pts: tensor([33725., 22736., 9477., 5378., 3166., 19049.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1494/1563 [2:21:41<07:09, 6.22s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07495424151420593, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.08998534828424454, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004330319352447987, 'redshifts/bias_bin_0': 0.028058385476469994, 'redshifts/bias_bin_1': 0.010299038141965866, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.0002038313978118822, 'redshifts/mse': 0.3098359704017639, 'redshifts/mse_bin_0': 0.4352298974990845, 'redshifts/mse_bin_1': 0.36029404401779175, 'redshifts/mse_bin_2': 0.2942158579826355, 'redshifts/mse_bin_3': 0.2193399965763092, 'redshifts/mse_bin_4': 0.2325272560119629, 'redshifts/mse_bin_5': 0.07377804070711136, 'redshifts/nmad': 0.11091070622205734, 'redshifts/nmad_bin_0': 0.21132896840572357, 'redshifts/nmad_bin_1': 0.13313263654708862, 'redshifts/nmad_bin_2': 0.08607957512140274, 'redshifts/nmad_bin_3': 0.07026652246713638, 'redshifts/nmad_bin_4': 0.06392307579517365, 'redshifts/nmad_bin_5': 0.03492933511734009, 'redshifts/outlier_fraction': 0.32449135184288025, 'redshifts/outlier_fraction_bin_0': 0.4886879026889801, 'redshifts/outlier_fraction_bin_1': 0.3539760708808899, 'redshifts/outlier_fraction_bin_2': 0.2540888488292694, 'redshifts/outlier_fraction_bin_3': 0.1991446614265442, 'redshifts/outlier_fraction_bin_4': 0.18919771909713745, 'redshifts/outlier_fraction_bin_5': 0.09150086343288422, 'redshifts/outlier_fraction_cata': 0.08756455034017563, 'redshifts/outlier_fraction_cata_bin_0': 0.13070422410964966, 'redshifts/outlier_fraction_cata_bin_1': 0.09786242246627808, 'redshifts/outlier_fraction_cata_bin_2': 0.07829482108354568, 'redshifts/outlier_fraction_cata_bin_3': 0.057456303387880325, 'redshifts/outlier_fraction_cata_bin_4': 0.058749210089445114, 'redshifts/outlier_fraction_cata_bin_5': 0.016798781231045723}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1495/1563 [2:21:46<06:32, 5.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([93602.])\n", + "total num of pts: tensor([33753., 22756., 9483., 5381., 3167., 19062.])\n", + "{'redshifts/bias_abs': 0.07495424151420593, 'redshifts/bias_abs_bin_0': 0.14477525651454926, 'redshifts/bias_abs_bin_1': 0.08998866379261017, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.02354513481259346, 'redshifts/bias': 0.004327801521867514, 'redshifts/bias_bin_0': 0.02805544249713421, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.0067222402431070805, 'redshifts/bias_bin_5': 0.00019935096497647464, 'redshifts/mse': 0.30984190106391907, 'redshifts/mse_bin_0': 0.4351874589920044, 'redshifts/mse_bin_1': 0.36039963364601135, 'redshifts/mse_bin_2': 0.29424330592155457, 'redshifts/mse_bin_3': 0.21922439336776733, 'redshifts/mse_bin_4': 0.2324545681476593, 'redshifts/mse_bin_5': 0.0737345740199089, 'redshifts/nmad': 0.11091168969869614, 'redshifts/nmad_bin_0': 0.21123218536376953, 'redshifts/nmad_bin_1': 0.1331462264060974, 'redshifts/nmad_bin_2': 0.08607957512140274, 'redshifts/nmad_bin_3': 0.07026642560958862, 'redshifts/nmad_bin_4': 0.06392307579517365, 'redshifts/nmad_bin_5': 0.03492768481373787, 'redshifts/outlier_fraction': 0.3245016038417816, 'redshifts/outlier_fraction_bin_0': 0.48866766691207886, 'redshifts/outlier_fraction_bin_1': 0.35406047105789185, 'redshifts/outlier_fraction_bin_2': 0.25403353571891785, 'redshifts/outlier_fraction_bin_3': 0.19903363287448883, 'redshifts/outlier_fraction_bin_4': 0.18913798034191132, 'redshifts/outlier_fraction_bin_5': 0.09149092435836792, 'redshifts/outlier_fraction_cata': 0.08758360147476196, 'redshifts/outlier_fraction_cata_bin_0': 0.1307143121957779, 'redshifts/outlier_fraction_cata_bin_1': 0.09790824353694916, 'redshifts/outlier_fraction_cata_bin_2': 0.078350730240345, 'redshifts/outlier_fraction_cata_bin_3': 0.05742426961660385, 'redshifts/outlier_fraction_cata_bin_4': 0.058730658143758774, 'redshifts/outlier_fraction_cata_bin_5': 0.016787325963377953}\n", + "total num of pts: tensor([93664.])\n", + "total num of pts: tensor([33777., 22769., 9491., 5386., 3168., 19073.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1496/1563 [2:21:52<06:22, 5.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07494410872459412, 'redshifts/bias_abs_bin_0': 0.14477525651454926, 'redshifts/bias_abs_bin_1': 0.0899895429611206, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.0467909537255764, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023550275713205338, 'redshifts/bias': 0.00432664155960083, 'redshifts/bias_bin_0': 0.02805544249713421, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0002038313978118822, 'redshifts/mse': 0.3099024295806885, 'redshifts/mse_bin_0': 0.43533891439437866, 'redshifts/mse_bin_1': 0.3604159951210022, 'redshifts/mse_bin_2': 0.2940007746219635, 'redshifts/mse_bin_3': 0.2197742909193039, 'redshifts/mse_bin_4': 0.23238390684127808, 'redshifts/mse_bin_5': 0.07369966059923172, 'redshifts/nmad': 0.11089956760406494, 'redshifts/nmad_bin_0': 0.21132460236549377, 'redshifts/nmad_bin_1': 0.1331539750099182, 'redshifts/nmad_bin_2': 0.08602485060691833, 'redshifts/nmad_bin_3': 0.07034435868263245, 'redshifts/nmad_bin_4': 0.06386442482471466, 'redshifts/nmad_bin_5': 0.03493138775229454, 'redshifts/outlier_fraction': 0.32448965311050415, 'redshifts/outlier_fraction_bin_0': 0.48867571353912354, 'redshifts/outlier_fraction_bin_1': 0.3540340065956116, 'redshifts/outlier_fraction_bin_2': 0.25381940603256226, 'redshifts/outlier_fraction_bin_3': 0.1992201954126358, 'redshifts/outlier_fraction_bin_4': 0.18907828629016876, 'redshifts/outlier_fraction_bin_5': 0.09149058908224106, 'redshifts/outlier_fraction_cata': 0.08760035783052444, 'redshifts/outlier_fraction_cata_bin_0': 0.13073985278606415, 'redshifts/outlier_fraction_cata_bin_1': 0.09794018417596817, 'redshifts/outlier_fraction_cata_bin_2': 0.07828468829393387, 'redshifts/outlier_fraction_cata_bin_3': 0.0575566291809082, 'redshifts/outlier_fraction_cata_bin_4': 0.05871212109923363, 'redshifts/outlier_fraction_cata_bin_5': 0.01677764393389225}\n", + "total num of pts: tensor([93724.])\n", + "total num of pts: tensor([33795., 22781., 9498., 5391., 3169., 19090.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1497/1563 [2:21:57<06:00, 5.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07496732473373413, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.04303260147571564, 'redshifts/bias_abs_bin_5': 0.023558367043733597, 'redshifts/bias': 0.004331499338150024, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.0103077944368124, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.3099423944950104, 'redshifts/mse_bin_0': 0.4353195130825043, 'redshifts/mse_bin_1': 0.3604012429714203, 'redshifts/mse_bin_2': 0.2942661643028259, 'redshifts/mse_bin_3': 0.2197299748659134, 'redshifts/mse_bin_4': 0.23231185972690582, 'redshifts/mse_bin_5': 0.07393406331539154, 'redshifts/nmad': 0.11093281954526901, 'redshifts/nmad_bin_0': 0.21134503185749054, 'redshifts/nmad_bin_1': 0.1332111656665802, 'redshifts/nmad_bin_2': 0.08597035706043243, 'redshifts/nmad_bin_3': 0.07039697468280792, 'redshifts/nmad_bin_4': 0.06386442482471466, 'redshifts/nmad_bin_5': 0.03494395315647125, 'redshifts/outlier_fraction': 0.324537992477417, 'redshifts/outlier_fraction_bin_0': 0.4888001084327698, 'redshifts/outlier_fraction_bin_1': 0.35406699776649475, 'redshifts/outlier_fraction_bin_2': 0.25384292006492615, 'redshifts/outlier_fraction_bin_3': 0.19940641522407532, 'redshifts/outlier_fraction_bin_4': 0.1890186220407486, 'redshifts/outlier_fraction_bin_5': 0.09151387959718704, 'redshifts/outlier_fraction_cata': 0.08762963861227036, 'redshifts/outlier_fraction_cata_bin_0': 0.13078857958316803, 'redshifts/outlier_fraction_cata_bin_1': 0.09797638654708862, 'redshifts/outlier_fraction_cata_bin_2': 0.07833228260278702, 'redshifts/outlier_fraction_cata_bin_3': 0.057503245770931244, 'redshifts/outlier_fraction_cata_bin_4': 0.058693595230579376, 'redshifts/outlier_fraction_cata_bin_5': 0.01681508682668209}\n", + "total num of pts: tensor([93787.])\n", + "total num of pts: tensor([33820., 22803., 9503., 5393., 3171., 19097.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1498/1563 [2:22:03<06:06, 5.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07496089488267899, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.08998866379261017, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.023550275713205338, 'redshifts/bias': 0.004327962175011635, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.010285675525665283, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.3099184036254883, 'redshifts/mse_bin_0': 0.43524548411369324, 'redshifts/mse_bin_1': 0.36031684279441833, 'redshifts/mse_bin_2': 0.2941250205039978, 'redshifts/mse_bin_3': 0.21965055167675018, 'redshifts/mse_bin_4': 0.23219755291938782, 'redshifts/mse_bin_5': 0.0740455687046051, 'redshifts/nmad': 0.11092306673526764, 'redshifts/nmad_bin_0': 0.21134503185749054, 'redshifts/nmad_bin_1': 0.1331539750099182, 'redshifts/nmad_bin_2': 0.08597035706043243, 'redshifts/nmad_bin_3': 0.07039697468280792, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.0349273644387722, 'redshifts/outlier_fraction': 0.32452258467674255, 'redshifts/outlier_fraction_bin_0': 0.48885273933410645, 'redshifts/outlier_fraction_bin_1': 0.3538569509983063, 'redshifts/outlier_fraction_bin_2': 0.2537093460559845, 'redshifts/outlier_fraction_bin_3': 0.19933246076107025, 'redshifts/outlier_fraction_bin_4': 0.1892147660255432, 'redshifts/outlier_fraction_bin_5': 0.09153269976377487, 'redshifts/outlier_fraction_cata': 0.08762408792972565, 'redshifts/outlier_fraction_cata_bin_0': 0.13075102865695953, 'redshifts/outlier_fraction_cata_bin_1': 0.09796956181526184, 'redshifts/outlier_fraction_cata_bin_2': 0.07829106599092484, 'redshifts/outlier_fraction_cata_bin_3': 0.05748192220926285, 'redshifts/outlier_fraction_cata_bin_4': 0.05865657702088356, 'redshifts/outlier_fraction_cata_bin_5': 0.016861287876963615}\n", + "total num of pts: tensor([93854.])\n", + "total num of pts: tensor([33844., 22820., 9510., 5395., 3171., 19114.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1499/1563 [2:22:10<06:29, 6.09s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07493671774864197, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.08995891362428665, 'redshifts/bias_abs_bin_2': 0.05822207033634186, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.043062034994363785, 'redshifts/bias_abs_bin_5': 0.0235309898853302, 'redshifts/bias': 0.004330319352447987, 'redshifts/bias_bin_0': 0.02805544249713421, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00020624279568437487, 'redshifts/mse': 0.3099207878112793, 'redshifts/mse_bin_0': 0.4354516267776489, 'redshifts/mse_bin_1': 0.36019963026046753, 'redshifts/mse_bin_2': 0.2939097285270691, 'redshifts/mse_bin_3': 0.21957167983055115, 'redshifts/mse_bin_4': 0.23219755291938782, 'redshifts/mse_bin_5': 0.0739843025803566, 'redshifts/nmad': 0.11088743060827255, 'redshifts/nmad_bin_0': 0.21136419475078583, 'redshifts/nmad_bin_1': 0.13311898708343506, 'redshifts/nmad_bin_2': 0.08595762401819229, 'redshifts/nmad_bin_3': 0.0703735500574112, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.03490405157208443, 'redshifts/outlier_fraction': 0.3244933485984802, 'redshifts/outlier_fraction_bin_0': 0.4888902008533478, 'redshifts/outlier_fraction_bin_1': 0.35381245613098145, 'redshifts/outlier_fraction_bin_2': 0.2535226047039032, 'redshifts/outlier_fraction_bin_3': 0.19925856590270996, 'redshifts/outlier_fraction_bin_4': 0.1892147660255432, 'redshifts/outlier_fraction_bin_5': 0.09150361269712448, 'redshifts/outlier_fraction_cata': 0.08763611316680908, 'redshifts/outlier_fraction_cata_bin_0': 0.13083559274673462, 'redshifts/outlier_fraction_cata_bin_1': 0.09794040024280548, 'redshifts/outlier_fraction_cata_bin_2': 0.07823343575000763, 'redshifts/outlier_fraction_cata_bin_3': 0.05746060982346535, 'redshifts/outlier_fraction_cata_bin_4': 0.05865657702088356, 'redshifts/outlier_fraction_cata_bin_5': 0.016846289858222008}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1500/1563 [2:22:16<06:19, 6.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([93929.])\n", + "total num of pts: tensor([33872., 22838., 9514., 5397., 3178., 19130.])\n", + "{'redshifts/bias_abs': 0.07493569701910019, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.05822207033634186, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.00432664155960083, 'redshifts/bias_bin_0': 0.028011253103613853, 'redshifts/bias_bin_1': 0.010309278033673763, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.3098215162754059, 'redshifts/mse_bin_0': 0.43534529209136963, 'redshifts/mse_bin_1': 0.3601112365722656, 'redshifts/mse_bin_2': 0.29379338026046753, 'redshifts/mse_bin_3': 0.21949642896652222, 'redshifts/mse_bin_4': 0.2317628115415573, 'redshifts/mse_bin_5': 0.07394935935735703, 'redshifts/nmad': 0.11088918894529343, 'redshifts/nmad_bin_0': 0.21129770576953888, 'redshifts/nmad_bin_1': 0.13314782083034515, 'redshifts/nmad_bin_2': 0.08595762401819229, 'redshifts/nmad_bin_3': 0.0703735500574112, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.03489043936133385, 'redshifts/outlier_fraction': 0.3244152367115021, 'redshifts/outlier_fraction_bin_0': 0.48878130316734314, 'redshifts/outlier_fraction_bin_1': 0.35370874404907227, 'redshifts/outlier_fraction_bin_2': 0.2534160315990448, 'redshifts/outlier_fraction_bin_3': 0.19918473064899445, 'redshifts/outlier_fraction_bin_4': 0.18911264836788177, 'redshifts/outlier_fraction_bin_5': 0.09153162688016891, 'redshifts/outlier_fraction_cata': 0.0876193717122078, 'redshifts/outlier_fraction_cata_bin_0': 0.1308160126209259, 'redshifts/outlier_fraction_cata_bin_1': 0.09795078635215759, 'redshifts/outlier_fraction_cata_bin_2': 0.07820054888725281, 'redshifts/outlier_fraction_cata_bin_3': 0.05743931978940964, 'redshifts/outlier_fraction_cata_bin_4': 0.058527376502752304, 'redshifts/outlier_fraction_cata_bin_5': 0.016832200810313225}\n", + "total num of pts: tensor([93993.])\n", + "total num of pts: tensor([33898., 22853., 9523., 5401., 3180., 19138.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1501/1563 [2:22:21<05:59, 5.81s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07494229823350906, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.08995891362428665, 'redshifts/bias_abs_bin_2': 0.05830150097608566, 'redshifts/bias_abs_bin_3': 0.04681305214762688, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.028011253103613853, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.3099716603755951, 'redshifts/mse_bin_0': 0.43557390570640564, 'redshifts/mse_bin_1': 0.3601275682449341, 'redshifts/mse_bin_2': 0.2935792803764343, 'redshifts/mse_bin_3': 0.21936941146850586, 'redshifts/mse_bin_4': 0.2323976308107376, 'redshifts/mse_bin_5': 0.07422249764204025, 'redshifts/nmad': 0.11089365929365158, 'redshifts/nmad_bin_0': 0.21129865944385529, 'redshifts/nmad_bin_1': 0.1331709325313568, 'redshifts/nmad_bin_2': 0.08603489398956299, 'redshifts/nmad_bin_3': 0.07039687782526016, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.034893374890089035, 'redshifts/outlier_fraction': 0.32447096705436707, 'redshifts/outlier_fraction_bin_0': 0.4887898862361908, 'redshifts/outlier_fraction_bin_1': 0.3537391126155853, 'redshifts/outlier_fraction_bin_2': 0.2534915506839752, 'redshifts/outlier_fraction_bin_3': 0.1992223709821701, 'redshifts/outlier_fraction_bin_4': 0.18930818140506744, 'redshifts/outlier_fraction_bin_5': 0.09159786999225616, 'redshifts/outlier_fraction_cata': 0.0876661017537117, 'redshifts/outlier_fraction_cata_bin_0': 0.13089267909526825, 'redshifts/outlier_fraction_cata_bin_1': 0.0979740098118782, 'redshifts/outlier_fraction_cata_bin_2': 0.07812663912773132, 'redshifts/outlier_fraction_cata_bin_3': 0.0573967769742012, 'redshifts/outlier_fraction_cata_bin_4': 0.05880502983927727, 'redshifts/outlier_fraction_cata_bin_5': 0.016877416521310806}\n", + "total num of pts: tensor([94047.])\n", + "total num of pts: tensor([33924., 22860., 9529., 5402., 3182., 19150.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1502/1563 [2:22:26<05:40, 5.58s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07495424151420593, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.08995891362428665, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.004333972930908203, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00021857023239135742, 'redshifts/mse': 0.31000593304634094, 'redshifts/mse_bin_0': 0.43574637174606323, 'redshifts/mse_bin_1': 0.36011484265327454, 'redshifts/mse_bin_2': 0.29342928528785706, 'redshifts/mse_bin_3': 0.21932946145534515, 'redshifts/mse_bin_4': 0.23231002688407898, 'redshifts/mse_bin_5': 0.07417802512645721, 'redshifts/nmad': 0.11091762036085129, 'redshifts/nmad_bin_0': 0.21145127713680267, 'redshifts/nmad_bin_1': 0.13317248225212097, 'redshifts/nmad_bin_2': 0.08602485060691833, 'redshifts/nmad_bin_3': 0.0703735500574112, 'redshifts/nmad_bin_4': 0.06391051411628723, 'redshifts/nmad_bin_5': 0.034896109253168106, 'redshifts/outlier_fraction': 0.3245079517364502, 'redshifts/outlier_fraction_bin_0': 0.48888692259788513, 'redshifts/outlier_fraction_bin_1': 0.35376203060150146, 'redshifts/outlier_fraction_bin_2': 0.2534368634223938, 'redshifts/outlier_fraction_bin_3': 0.19918549060821533, 'redshifts/outlier_fraction_bin_4': 0.18950346112251282, 'redshifts/outlier_fraction_bin_5': 0.09154047071933746, 'redshifts/outlier_fraction_cata': 0.08769019693136215, 'redshifts/outlier_fraction_cata_bin_0': 0.13096922636032104, 'redshifts/outlier_fraction_cata_bin_1': 0.09798774868249893, 'redshifts/outlier_fraction_cata_bin_2': 0.07807745039463043, 'redshifts/outlier_fraction_cata_bin_3': 0.05738615244626999, 'redshifts/outlier_fraction_cata_bin_4': 0.05876807123422623, 'redshifts/outlier_fraction_cata_bin_5': 0.016866840422153473}\n", + "total num of pts: tensor([94111.])\n", + "total num of pts: tensor([33950., 22875., 9533., 5405., 3186., 19162.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1503/1563 [2:22:31<05:22, 5.37s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07495424151420593, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.08994796872138977, 'redshifts/bias_abs_bin_2': 0.058289311826229095, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.00020624279568437487, 'redshifts/mse': 0.3101097643375397, 'redshifts/mse_bin_0': 0.43604251742362976, 'redshifts/mse_bin_1': 0.35999953746795654, 'redshifts/mse_bin_2': 0.29330679774284363, 'redshifts/mse_bin_3': 0.22017519176006317, 'redshifts/mse_bin_4': 0.2320246696472168, 'redshifts/mse_bin_5': 0.07414232194423676, 'redshifts/nmad': 0.11091393232345581, 'redshifts/nmad_bin_0': 0.21149754524230957, 'redshifts/nmad_bin_1': 0.13316532969474792, 'redshifts/nmad_bin_2': 0.08594989776611328, 'redshifts/nmad_bin_3': 0.07037364691495895, 'redshifts/nmad_bin_4': 0.06390483677387238, 'redshifts/nmad_bin_5': 0.0348958782851696, 'redshifts/outlier_fraction': 0.3245529234409332, 'redshifts/outlier_fraction_bin_0': 0.4890132546424866, 'redshifts/outlier_fraction_bin_1': 0.35379233956336975, 'redshifts/outlier_fraction_bin_2': 0.2533305287361145, 'redshifts/outlier_fraction_bin_3': 0.199259951710701, 'redshifts/outlier_fraction_bin_4': 0.18926553428173065, 'redshifts/outlier_fraction_bin_5': 0.09153532981872559, 'redshifts/outlier_fraction_cata': 0.08768369257450104, 'redshifts/outlier_fraction_cata_bin_0': 0.130986750125885, 'redshifts/outlier_fraction_cata_bin_1': 0.09792349487543106, 'redshifts/outlier_fraction_cata_bin_2': 0.07804469019174576, 'redshifts/outlier_fraction_cata_bin_3': 0.05753931403160095, 'redshifts/outlier_fraction_cata_bin_4': 0.05869428813457489, 'redshifts/outlier_fraction_cata_bin_5': 0.016856277361512184}\n", + "total num of pts: tensor([94180.])\n", + "total num of pts: tensor([33973., 22894., 9541., 5407., 3186., 19179.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 1504/1563 [2:22:35<04:50, 4.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07496066391468048, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.08998866379261017, 'redshifts/bias_abs_bin_2': 0.05830150097608566, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023530777543783188, 'redshifts/bias': 0.004329660441726446, 'redshifts/bias_bin_0': 0.02800634875893593, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.0002219676971435547, 'redshifts/mse': 0.3101002871990204, 'redshifts/mse_bin_0': 0.43601489067077637, 'redshifts/mse_bin_1': 0.36010727286338806, 'redshifts/mse_bin_2': 0.2931080758571625, 'redshifts/mse_bin_3': 0.2201693058013916, 'redshifts/mse_bin_4': 0.2320246696472168, 'redshifts/mse_bin_5': 0.07414170354604721, 'redshifts/nmad': 0.11092401295900345, 'redshifts/nmad_bin_0': 0.21152986586093903, 'redshifts/nmad_bin_1': 0.13325102627277374, 'redshifts/nmad_bin_2': 0.0859660878777504, 'redshifts/nmad_bin_3': 0.07038905471563339, 'redshifts/nmad_bin_4': 0.06390483677387238, 'redshifts/nmad_bin_5': 0.03490114584565163, 'redshifts/outlier_fraction': 0.32460182905197144, 'redshifts/outlier_fraction_bin_0': 0.48903539776802063, 'redshifts/outlier_fraction_bin_1': 0.3539355397224426, 'redshifts/outlier_fraction_bin_2': 0.25332775712013245, 'redshifts/outlier_fraction_bin_3': 0.19937118887901306, 'redshifts/outlier_fraction_bin_4': 0.18926553428173065, 'redshifts/outlier_fraction_bin_5': 0.09155847877264023, 'redshifts/outlier_fraction_cata': 0.08767253905534744, 'redshifts/outlier_fraction_cata_bin_0': 0.13095693290233612, 'redshifts/outlier_fraction_cata_bin_1': 0.09797326475381851, 'redshifts/outlier_fraction_cata_bin_2': 0.07797924429178238, 'redshifts/outlier_fraction_cata_bin_3': 0.05751803144812584, 'redshifts/outlier_fraction_cata_bin_4': 0.05869428813457489, 'redshifts/outlier_fraction_cata_bin_5': 0.016841337084770203}\n", + "total num of pts: tensor([94248.])\n", + "total num of pts: tensor([34002., 22914., 9544., 5412., 3186., 19190.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▋| 1505/1563 [2:22:40<04:45, 4.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07496066391468048, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.08997008949518204, 'redshifts/bias_abs_bin_2': 0.05826361104846001, 'redshifts/bias_abs_bin_3': 0.04679437726736069, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023534510284662247, 'redshifts/bias': 0.004327962175011635, 'redshifts/bias_bin_0': 0.02800634875893593, 'redshifts/bias_bin_1': 0.010323639959096909, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.31002557277679443, 'redshifts/mse_bin_0': 0.4358186721801758, 'redshifts/mse_bin_1': 0.36011531949043274, 'redshifts/mse_bin_2': 0.2930161654949188, 'redshifts/mse_bin_3': 0.22005067765712738, 'redshifts/mse_bin_4': 0.2320246696472168, 'redshifts/mse_bin_5': 0.07411105930805206, 'redshifts/nmad': 0.11092306673526764, 'redshifts/nmad_bin_0': 0.21142935752868652, 'redshifts/nmad_bin_1': 0.1331731081008911, 'redshifts/nmad_bin_2': 0.08594092726707458, 'redshifts/nmad_bin_3': 0.0703732892870903, 'redshifts/nmad_bin_4': 0.06390483677387238, 'redshifts/nmad_bin_5': 0.034914251416921616, 'redshifts/outlier_fraction': 0.32460105419158936, 'redshifts/outlier_fraction_bin_0': 0.48888301849365234, 'redshifts/outlier_fraction_bin_1': 0.35397574305534363, 'redshifts/outlier_fraction_bin_2': 0.2532481253147125, 'redshifts/outlier_fraction_bin_3': 0.19955654442310333, 'redshifts/outlier_fraction_bin_4': 0.18926553428173065, 'redshifts/outlier_fraction_bin_5': 0.09166232496500015, 'redshifts/outlier_fraction_cata': 0.08766233921051025, 'redshifts/outlier_fraction_cata_bin_0': 0.130933478474617, 'redshifts/outlier_fraction_cata_bin_1': 0.09797503799200058, 'redshifts/outlier_fraction_cata_bin_2': 0.0779547393321991, 'redshifts/outlier_fraction_cata_bin_3': 0.05746489390730858, 'redshifts/outlier_fraction_cata_bin_4': 0.05869428813457489, 'redshifts/outlier_fraction_cata_bin_5': 0.01683168299496174}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▋| 1506/1563 [2:22:45<04:43, 4.97s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([94295.])\n", + "total num of pts: tensor([34019., 22922., 9550., 5416., 3188., 19200.])\n", + "{'redshifts/bias_abs': 0.07496850192546844, 'redshifts/bias_abs_bin_0': 0.14482153952121735, 'redshifts/bias_abs_bin_1': 0.08998866379261017, 'redshifts/bias_abs_bin_2': 0.058289311826229095, 'redshifts/bias_abs_bin_3': 0.04678754135966301, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.0235309898853302, 'redshifts/bias': 0.004334535915404558, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.00021672634466085583, 'redshifts/mse': 0.310110479593277, 'redshifts/mse_bin_0': 0.43593963980674744, 'redshifts/mse_bin_1': 0.36032289266586304, 'redshifts/mse_bin_2': 0.2931042015552521, 'redshifts/mse_bin_3': 0.21988847851753235, 'redshifts/mse_bin_4': 0.23204807937145233, 'redshifts/mse_bin_5': 0.07408668100833893, 'redshifts/nmad': 0.11093812435865402, 'redshifts/nmad_bin_0': 0.21148237586021423, 'redshifts/nmad_bin_1': 0.1332339495420456, 'redshifts/nmad_bin_2': 0.08593124896287918, 'redshifts/nmad_bin_3': 0.07026874274015427, 'redshifts/nmad_bin_4': 0.06391122192144394, 'redshifts/nmad_bin_5': 0.034912269562482834, 'redshifts/outlier_fraction': 0.3246619701385498, 'redshifts/outlier_fraction_bin_0': 0.48893266916275024, 'redshifts/outlier_fraction_bin_1': 0.3540703356266022, 'redshifts/outlier_fraction_bin_2': 0.2534031271934509, 'redshifts/outlier_fraction_bin_3': 0.19940915703773499, 'redshifts/outlier_fraction_bin_4': 0.18946047127246857, 'redshifts/outlier_fraction_bin_5': 0.09171874821186066, 'redshifts/outlier_fraction_cata': 0.08771409094333649, 'redshifts/outlier_fraction_cata_bin_0': 0.13098563253879547, 'redshifts/outlier_fraction_cata_bin_1': 0.09811534732580185, 'redshifts/outlier_fraction_cata_bin_2': 0.07801046967506409, 'redshifts/outlier_fraction_cata_bin_3': 0.0574224516749382, 'redshifts/outlier_fraction_cata_bin_4': 0.058657463639974594, 'redshifts/outlier_fraction_cata_bin_5': 0.016822917386889458}\n", + "total num of pts: tensor([94358.])\n", + "total num of pts: tensor([34035., 22935., 9559., 5419., 3191., 19219.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▋| 1507/1563 [2:22:48<04:15, 4.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07494200021028519, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.0899895429611206, 'redshifts/bias_abs_bin_2': 0.05822207033634186, 'redshifts/bias_abs_bin_3': 0.046784769743680954, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.004332102369517088, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.010323639959096909, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': 0.00021857023239135742, 'redshifts/mse': 0.30996420979499817, 'redshifts/mse_bin_0': 0.43579304218292236, 'redshifts/mse_bin_1': 0.3602142035961151, 'redshifts/mse_bin_2': 0.2929266393184662, 'redshifts/mse_bin_3': 0.21976815164089203, 'redshifts/mse_bin_4': 0.23187127709388733, 'redshifts/mse_bin_5': 0.07403849065303802, 'redshifts/nmad': 0.11089534312486649, 'redshifts/nmad_bin_0': 0.21138864755630493, 'redshifts/nmad_bin_1': 0.13321855664253235, 'redshifts/nmad_bin_2': 0.08587337285280228, 'redshifts/nmad_bin_3': 0.0702558308839798, 'redshifts/nmad_bin_4': 0.06410899758338928, 'redshifts/nmad_bin_5': 0.034891366958618164, 'redshifts/outlier_fraction': 0.3245829641819, 'redshifts/outlier_fraction_bin_0': 0.488820344209671, 'redshifts/outlier_fraction_bin_1': 0.3541312515735626, 'redshifts/outlier_fraction_bin_2': 0.25326916575431824, 'redshifts/outlier_fraction_bin_3': 0.19929876923561096, 'redshifts/outlier_fraction_bin_4': 0.1892823576927185, 'redshifts/outlier_fraction_bin_5': 0.09173213690519333, 'redshifts/outlier_fraction_cata': 0.08765552192926407, 'redshifts/outlier_fraction_cata_bin_0': 0.1309240460395813, 'redshifts/outlier_fraction_cata_bin_1': 0.09805973619222641, 'redshifts/outlier_fraction_cata_bin_2': 0.07793702185153961, 'redshifts/outlier_fraction_cata_bin_3': 0.057390663772821426, 'redshifts/outlier_fraction_cata_bin_4': 0.05860231816768646, 'redshifts/outlier_fraction_cata_bin_5': 0.016806285828351974}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▋| 1508/1563 [2:22:52<03:49, 4.17s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([94416.])\n", + "total num of pts: tensor([34063., 22945., 9564., 5421., 3197., 19226.])\n", + "{'redshifts/bias_abs': 0.07494229823350906, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.0899895429611206, 'redshifts/bias_abs_bin_2': 0.05822207033634186, 'redshifts/bias_abs_bin_3': 0.04676228016614914, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.004330319352447987, 'redshifts/bias_bin_0': 0.02800634875893593, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.0053649963811039925, 'redshifts/bias_bin_4': -0.0068003530614078045, 'redshifts/bias_bin_5': 0.00022274615184869617, 'redshifts/mse': 0.31000953912734985, 'redshifts/mse_bin_0': 0.4359323978424072, 'redshifts/mse_bin_1': 0.3601610064506531, 'redshifts/mse_bin_2': 0.2928101122379303, 'redshifts/mse_bin_3': 0.2196870595216751, 'redshifts/mse_bin_4': 0.2322230041027069, 'redshifts/mse_bin_5': 0.07401479035615921, 'redshifts/nmad': 0.11090502887964249, 'redshifts/nmad_bin_0': 0.21150827407836914, 'redshifts/nmad_bin_1': 0.13326440751552582, 'redshifts/nmad_bin_2': 0.08589398115873337, 'redshifts/nmad_bin_3': 0.0702037587761879, 'redshifts/nmad_bin_4': 0.0639740377664566, 'redshifts/nmad_bin_5': 0.03489755839109421, 'redshifts/outlier_fraction': 0.324637770652771, 'redshifts/outlier_fraction_bin_0': 0.48897629976272583, 'redshifts/outlier_fraction_bin_1': 0.35406407713890076, 'redshifts/outlier_fraction_bin_2': 0.25324133038520813, 'redshifts/outlier_fraction_bin_3': 0.19922523200511932, 'redshifts/outlier_fraction_bin_4': 0.18955270946025848, 'redshifts/outlier_fraction_bin_5': 0.09169874340295792, 'redshifts/outlier_fraction_cata': 0.08770759403705597, 'redshifts/outlier_fraction_cata_bin_0': 0.13102193176746368, 'redshifts/outlier_fraction_cata_bin_1': 0.09810416400432587, 'redshifts/outlier_fraction_cata_bin_2': 0.07789627462625504, 'redshifts/outlier_fraction_cata_bin_3': 0.05736948922276497, 'redshifts/outlier_fraction_cata_bin_4': 0.058805130422115326, 'redshifts/outlier_fraction_cata_bin_5': 0.01680016703903675}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1509/1563 [2:22:59<04:36, 5.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([94480.])\n", + "total num of pts: tensor([34084., 22961., 9573., 5428., 3198., 19236.])\n", + "{'redshifts/bias_abs': 0.07494410872459412, 'redshifts/bias_abs_bin_0': 0.14482715725898743, 'redshifts/bias_abs_bin_1': 0.0899895429611206, 'redshifts/bias_abs_bin_2': 0.05830150097608566, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.004335101693868637, 'redshifts/bias_bin_0': 0.028011253103613853, 'redshifts/bias_bin_1': 0.010392154566943645, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.0068003530614078045, 'redshifts/bias_bin_5': 0.00022336999245453626, 'redshifts/mse': 0.3101142346858978, 'redshifts/mse_bin_0': 0.43595778942108154, 'redshifts/mse_bin_1': 0.3604367971420288, 'redshifts/mse_bin_2': 0.2933019697666168, 'redshifts/mse_bin_3': 0.2194332331418991, 'redshifts/mse_bin_4': 0.23216114938259125, 'redshifts/mse_bin_5': 0.0739804059267044, 'redshifts/nmad': 0.11091210693120956, 'redshifts/nmad_bin_0': 0.21145369112491608, 'redshifts/nmad_bin_1': 0.13330115377902985, 'redshifts/nmad_bin_2': 0.08594053238630295, 'redshifts/nmad_bin_3': 0.0701024979352951, 'redshifts/nmad_bin_4': 0.0639740377664566, 'redshifts/nmad_bin_5': 0.034898482263088226, 'redshifts/outlier_fraction': 0.3246718943119049, 'redshifts/outlier_fraction_bin_0': 0.4889684319496155, 'redshifts/outlier_fraction_bin_1': 0.35412222146987915, 'redshifts/outlier_fraction_bin_2': 0.25363001227378845, 'redshifts/outlier_fraction_bin_3': 0.19915254414081573, 'redshifts/outlier_fraction_bin_4': 0.18949343264102936, 'redshifts/outlier_fraction_bin_5': 0.0916510745882988, 'redshifts/outlier_fraction_cata': 0.08774343878030777, 'redshifts/outlier_fraction_cata_bin_0': 0.1309998780488968, 'redshifts/outlier_fraction_cata_bin_1': 0.09825356304645538, 'redshifts/outlier_fraction_cata_bin_2': 0.07803196460008621, 'redshifts/outlier_fraction_cata_bin_3': 0.057295504957437515, 'redshifts/outlier_fraction_cata_bin_4': 0.05878674238920212, 'redshifts/outlier_fraction_cata_bin_5': 0.016791433095932007}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1510/1563 [2:23:05<04:41, 5.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([94546.])\n", + "total num of pts: tensor([34111., 22975., 9578., 5430., 3200., 19252.])\n", + "{'redshifts/bias_abs': 0.07496732473373413, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09004629403352737, 'redshifts/bias_abs_bin_2': 0.05835113674402237, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.0235089473426342, 'redshifts/bias': 0.004342335741966963, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.010441378690302372, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.0068003530614078045, 'redshifts/bias_bin_5': 0.00022423811606131494, 'redshifts/mse': 0.3101581037044525, 'redshifts/mse_bin_0': 0.4360732138156891, 'redshifts/mse_bin_1': 0.36052703857421875, 'redshifts/mse_bin_2': 0.293294221162796, 'redshifts/mse_bin_3': 0.21935565769672394, 'redshifts/mse_bin_4': 0.23202268779277802, 'redshifts/mse_bin_5': 0.07393745332956314, 'redshifts/nmad': 0.1109423115849495, 'redshifts/nmad_bin_0': 0.21150006353855133, 'redshifts/nmad_bin_1': 0.1333741396665573, 'redshifts/nmad_bin_2': 0.08602003753185272, 'redshifts/nmad_bin_3': 0.07012809813022614, 'redshifts/nmad_bin_4': 0.0639740377664566, 'redshifts/nmad_bin_5': 0.03488673269748688, 'redshifts/outlier_fraction': 0.3247096538543701, 'redshifts/outlier_fraction_bin_0': 0.4889918267726898, 'redshifts/outlier_fraction_bin_1': 0.3542546331882477, 'redshifts/outlier_fraction_bin_2': 0.2537063956260681, 'redshifts/outlier_fraction_bin_3': 0.19907918572425842, 'redshifts/outlier_fraction_bin_4': 0.18937499821186066, 'redshifts/outlier_fraction_bin_5': 0.0916268453001976, 'redshifts/outlier_fraction_cata': 0.08777737617492676, 'redshifts/outlier_fraction_cata_bin_0': 0.13107208907604218, 'redshifts/outlier_fraction_cata_bin_1': 0.09828074276447296, 'redshifts/outlier_fraction_cata_bin_2': 0.07809563726186752, 'redshifts/outlier_fraction_cata_bin_3': 0.05727440118789673, 'redshifts/outlier_fraction_cata_bin_4': 0.05874999985098839, 'redshifts/outlier_fraction_cata_bin_5': 0.01677747815847397}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1511/1563 [2:23:09<04:16, 4.93s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([94603.])\n", + "total num of pts: tensor([34134., 22989., 9588., 5431., 3200., 19261.])\n", + "{'redshifts/bias_abs': 0.07496066391468048, 'redshifts/bias_abs_bin_0': 0.14482153952121735, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02350638620555401, 'redshifts/bias': 0.004339724779129028, 'redshifts/bias_bin_0': 0.028032446280121803, 'redshifts/bias_bin_1': 0.010412849485874176, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005577924195677042, 'redshifts/bias_bin_4': -0.0068003530614078045, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.3101184666156769, 'redshifts/mse_bin_0': 0.4360896646976471, 'redshifts/mse_bin_1': 0.36044231057167053, 'redshifts/mse_bin_2': 0.29300323128700256, 'redshifts/mse_bin_3': 0.21931546926498413, 'redshifts/mse_bin_4': 0.23202268779277802, 'redshifts/mse_bin_5': 0.07390791177749634, 'redshifts/nmad': 0.110930435359478, 'redshifts/nmad_bin_0': 0.2114851176738739, 'redshifts/nmad_bin_1': 0.13333533704280853, 'redshifts/nmad_bin_2': 0.08596865832805634, 'redshifts/nmad_bin_3': 0.07012809813022614, 'redshifts/nmad_bin_4': 0.0639740377664566, 'redshifts/nmad_bin_5': 0.0348808616399765, 'redshifts/outlier_fraction': 0.3246937096118927, 'redshifts/outlier_fraction_bin_0': 0.4889552891254425, 'redshifts/outlier_fraction_bin_1': 0.35425639152526855, 'redshifts/outlier_fraction_bin_2': 0.2535460889339447, 'redshifts/outlier_fraction_bin_3': 0.19904252886772156, 'redshifts/outlier_fraction_bin_4': 0.18937499821186066, 'redshifts/outlier_fraction_bin_5': 0.09163594990968704, 'redshifts/outlier_fraction_cata': 0.08776677399873734, 'redshifts/outlier_fraction_cata_bin_0': 0.13107165694236755, 'redshifts/outlier_fraction_cata_bin_1': 0.09826438874006271, 'redshifts/outlier_fraction_cata_bin_2': 0.07801418751478195, 'redshifts/outlier_fraction_cata_bin_3': 0.05726385489106178, 'redshifts/outlier_fraction_cata_bin_4': 0.05874999985098839, 'redshifts/outlier_fraction_cata_bin_5': 0.016769638285040855}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1512/1563 [2:23:15<04:24, 5.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([94661.])\n", + "total num of pts: tensor([34155., 23007., 9593., 5437., 3202., 19267.])\n", + "{'redshifts/bias_abs': 0.07496066391468048, 'redshifts/bias_abs_bin_0': 0.14482715725898743, 'redshifts/bias_abs_bin_1': 0.09004629403352737, 'redshifts/bias_abs_bin_2': 0.05835113674402237, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02350638620555401, 'redshifts/bias': 0.004342335741966963, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.010441378690302372, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005584933795034885, 'redshifts/bias_bin_4': -0.0068003530614078045, 'redshifts/bias_bin_5': 0.00022534903837367892, 'redshifts/mse': 0.3100697696208954, 'redshifts/mse_bin_0': 0.4360353946685791, 'redshifts/mse_bin_1': 0.36024922132492065, 'redshifts/mse_bin_2': 0.29326269030570984, 'redshifts/mse_bin_3': 0.21907827258110046, 'redshifts/mse_bin_4': 0.23188209533691406, 'redshifts/mse_bin_5': 0.07388662546873093, 'redshifts/nmad': 0.110931895673275, 'redshifts/nmad_bin_0': 0.21150006353855133, 'redshifts/nmad_bin_1': 0.1333436816930771, 'redshifts/nmad_bin_2': 0.08602003753185272, 'redshifts/nmad_bin_3': 0.06998094916343689, 'redshifts/nmad_bin_4': 0.0639740377664566, 'redshifts/nmad_bin_5': 0.03488249331712723, 'redshifts/outlier_fraction': 0.32468491792678833, 'redshifts/outlier_fraction_bin_0': 0.48897671699523926, 'redshifts/outlier_fraction_bin_1': 0.35419654846191406, 'redshifts/outlier_fraction_bin_2': 0.253622442483902, 'redshifts/outlier_fraction_bin_3': 0.19882288575172424, 'redshifts/outlier_fraction_bin_4': 0.1892567127943039, 'redshifts/outlier_fraction_bin_5': 0.09160741418600082, 'redshifts/outlier_fraction_cata': 0.08774469047784805, 'redshifts/outlier_fraction_cata_bin_0': 0.13104963302612305, 'redshifts/outlier_fraction_cata_bin_1': 0.09818750619888306, 'redshifts/outlier_fraction_cata_bin_2': 0.0780777633190155, 'redshifts/outlier_fraction_cata_bin_3': 0.05720066279172897, 'redshifts/outlier_fraction_cata_bin_4': 0.05871330574154854, 'redshifts/outlier_fraction_cata_bin_5': 0.016764415428042412}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1513/1563 [2:23:19<04:05, 4.90s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([94727.])\n", + "total num of pts: tensor([34177., 23030., 9600., 5441., 3203., 19276.])\n", + "{'redshifts/bias_abs': 0.07496066391468048, 'redshifts/bias_abs_bin_0': 0.14482715725898743, 'redshifts/bias_abs_bin_1': 0.09004771709442139, 'redshifts/bias_abs_bin_2': 0.05835113674402237, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02350638620555401, 'redshifts/bias': 0.004334896802902222, 'redshifts/bias_bin_0': 0.028032446280121803, 'redshifts/bias_bin_1': 0.010389681905508041, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005584933795034885, 'redshifts/bias_bin_4': -0.0068003530614078045, 'redshifts/bias_bin_5': 0.00023025984410196543, 'redshifts/mse': 0.3100448548793793, 'redshifts/mse_bin_0': 0.4360179603099823, 'redshifts/mse_bin_1': 0.36011460423469543, 'redshifts/mse_bin_2': 0.2932075262069702, 'redshifts/mse_bin_3': 0.21934637427330017, 'redshifts/mse_bin_4': 0.2318129539489746, 'redshifts/mse_bin_5': 0.0738549456000328, 'redshifts/nmad': 0.1109222024679184, 'redshifts/nmad_bin_0': 0.21153418719768524, 'redshifts/nmad_bin_1': 0.13331647217273712, 'redshifts/nmad_bin_2': 0.08601412177085876, 'redshifts/nmad_bin_3': 0.07011771202087402, 'redshifts/nmad_bin_4': 0.06411616504192352, 'redshifts/nmad_bin_5': 0.03488186001777649, 'redshifts/outlier_fraction': 0.32469096779823303, 'redshifts/outlier_fraction_bin_0': 0.4889545738697052, 'redshifts/outlier_fraction_bin_1': 0.35423362255096436, 'redshifts/outlier_fraction_bin_2': 0.2535416781902313, 'redshifts/outlier_fraction_bin_3': 0.19904428720474243, 'redshifts/outlier_fraction_bin_4': 0.1891976296901703, 'redshifts/outlier_fraction_bin_5': 0.09156464040279388, 'redshifts/outlier_fraction_cata': 0.08775745332241058, 'redshifts/outlier_fraction_cata_bin_0': 0.13105304539203644, 'redshifts/outlier_fraction_cata_bin_1': 0.09817629307508469, 'redshifts/outlier_fraction_cata_bin_2': 0.078125, 'redshifts/outlier_fraction_cata_bin_3': 0.057342398911714554, 'redshifts/outlier_fraction_cata_bin_4': 0.05869497358798981, 'redshifts/outlier_fraction_cata_bin_5': 0.016756588593125343}\n", + "total num of pts: tensor([94789.])\n", + "total num of pts: tensor([34199., 23044., 9605., 5446., 3204., 19291.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1514/1563 [2:23:24<04:09, 5.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07493671774864197, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09004629403352737, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023499278351664543, 'redshifts/bias': 0.004333061631768942, 'redshifts/bias_bin_0': 0.028003383427858353, 'redshifts/bias_bin_1': 0.010389681905508041, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.0068003530614078045, 'redshifts/bias_bin_5': 0.00023025984410196543, 'redshifts/mse': 0.3099589943885803, 'redshifts/mse_bin_0': 0.4359894096851349, 'redshifts/mse_bin_1': 0.359971821308136, 'redshifts/mse_bin_2': 0.2930893898010254, 'redshifts/mse_bin_3': 0.21915403008460999, 'redshifts/mse_bin_4': 0.23178315162658691, 'redshifts/mse_bin_5': 0.07380787283182144, 'redshifts/nmad': 0.11088769882917404, 'redshifts/nmad_bin_0': 0.21144668757915497, 'redshifts/nmad_bin_1': 0.13329748809337616, 'redshifts/nmad_bin_2': 0.08606457710266113, 'redshifts/nmad_bin_3': 0.07005201280117035, 'redshifts/nmad_bin_4': 0.06411616504192352, 'redshifts/nmad_bin_5': 0.03486070781946182, 'redshifts/outlier_fraction': 0.3246157169342041, 'redshifts/outlier_fraction_bin_0': 0.48884469270706177, 'redshifts/outlier_fraction_bin_1': 0.35419198870658875, 'redshifts/outlier_fraction_bin_2': 0.25351378321647644, 'redshifts/outlier_fraction_bin_3': 0.19886155426502228, 'redshifts/outlier_fraction_bin_4': 0.18913857638835907, 'redshifts/outlier_fraction_bin_5': 0.09154528379440308, 'redshifts/outlier_fraction_cata': 0.08773169666528702, 'redshifts/outlier_fraction_cata_bin_0': 0.13105645775794983, 'redshifts/outlier_fraction_cata_bin_1': 0.09811664372682571, 'redshifts/outlier_fraction_cata_bin_2': 0.07808433473110199, 'redshifts/outlier_fraction_cata_bin_3': 0.05728975310921669, 'redshifts/outlier_fraction_cata_bin_4': 0.05867665261030197, 'redshifts/outlier_fraction_cata_bin_5': 0.016743559390306473}\n", + "total num of pts: tensor([94839.])\n", + "total num of pts: tensor([34217., 23059., 9612., 5447., 3204., 19300.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1515/1563 [2:23:29<03:59, 4.99s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07493569701910019, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09003841131925583, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02350468561053276, 'redshifts/bias': 0.004333972930908203, 'redshifts/bias_bin_0': 0.02800634875893593, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.0068003530614078045, 'redshifts/bias_bin_5': 0.0002307661052327603, 'redshifts/mse': 0.30998754501342773, 'redshifts/mse_bin_0': 0.43600672483444214, 'redshifts/mse_bin_1': 0.36010441184043884, 'redshifts/mse_bin_2': 0.29288679361343384, 'redshifts/mse_bin_3': 0.21911384165287018, 'redshifts/mse_bin_4': 0.23178315162658691, 'redshifts/mse_bin_5': 0.0738355964422226, 'redshifts/nmad': 0.11089811474084854, 'redshifts/nmad_bin_0': 0.21144641935825348, 'redshifts/nmad_bin_1': 0.13328304886817932, 'redshifts/nmad_bin_2': 0.08606457710266113, 'redshifts/nmad_bin_3': 0.07010040432214737, 'redshifts/nmad_bin_4': 0.06411616504192352, 'redshifts/nmad_bin_5': 0.03486962243914604, 'redshifts/outlier_fraction': 0.32460275292396545, 'redshifts/outlier_fraction_bin_0': 0.4888213574886322, 'redshifts/outlier_fraction_bin_1': 0.35417839884757996, 'redshifts/outlier_fraction_bin_2': 0.25332915782928467, 'redshifts/outlier_fraction_bin_3': 0.19882504642009735, 'redshifts/outlier_fraction_bin_4': 0.18913857638835907, 'redshifts/outlier_fraction_bin_5': 0.09160621464252472, 'redshifts/outlier_fraction_cata': 0.08771707862615585, 'redshifts/outlier_fraction_cata_bin_0': 0.13101674616336823, 'redshifts/outlier_fraction_cata_bin_1': 0.09813955426216125, 'redshifts/outlier_fraction_cata_bin_2': 0.07802746444940567, 'redshifts/outlier_fraction_cata_bin_3': 0.05727923661470413, 'redshifts/outlier_fraction_cata_bin_4': 0.05867665261030197, 'redshifts/outlier_fraction_cata_bin_5': 0.016735751181840897}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1516/1563 [2:23:33<03:42, 4.74s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([94911.])\n", + "total num of pts: tensor([34242., 23078., 9616., 5451., 3211., 19313.])\n", + "{'redshifts/bias_abs': 0.07492737472057343, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09005145728588104, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.02350468561053276, 'redshifts/bias': 0.004334896802902222, 'redshifts/bias_bin_0': 0.02800634875893593, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005584933795034885, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.0002307661052327603, 'redshifts/mse': 0.31004250049591064, 'redshifts/mse_bin_0': 0.43610087037086487, 'redshifts/mse_bin_1': 0.3601846396923065, 'redshifts/mse_bin_2': 0.29277563095092773, 'redshifts/mse_bin_3': 0.21897093951702118, 'redshifts/mse_bin_4': 0.23265372216701508, 'redshifts/mse_bin_5': 0.07379075139760971, 'redshifts/nmad': 0.11090143024921417, 'redshifts/nmad_bin_0': 0.2115127593278885, 'redshifts/nmad_bin_1': 0.13331849873065948, 'redshifts/nmad_bin_2': 0.08606457710266113, 'redshifts/nmad_bin_3': 0.07010480016469955, 'redshifts/nmad_bin_4': 0.0641380250453949, 'redshifts/nmad_bin_5': 0.03486962243914604, 'redshifts/outlier_fraction': 0.3246515095233917, 'redshifts/outlier_fraction_bin_0': 0.48887330293655396, 'redshifts/outlier_fraction_bin_1': 0.35436347126960754, 'redshifts/outlier_fraction_bin_2': 0.25332778692245483, 'redshifts/outlier_fraction_bin_3': 0.1986791342496872, 'redshifts/outlier_fraction_bin_4': 0.18934911489486694, 'redshifts/outlier_fraction_bin_5': 0.09154455363750458, 'redshifts/outlier_fraction_cata': 0.08775589615106583, 'redshifts/outlier_fraction_cata_bin_0': 0.13109631836414337, 'redshifts/outlier_fraction_cata_bin_1': 0.09818875044584274, 'redshifts/outlier_fraction_cata_bin_2': 0.07799500972032547, 'redshifts/outlier_fraction_cata_bin_3': 0.057237204164266586, 'redshifts/outlier_fraction_cata_bin_4': 0.0588601678609848, 'redshifts/outlier_fraction_cata_bin_5': 0.016724485903978348}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1517/1563 [2:23:36<03:12, 4.18s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([94961.])\n", + "total num of pts: tensor([34263., 23090., 9621., 5455., 3212., 19320.])\n", + "{'redshifts/bias_abs': 0.07493569701910019, 'redshifts/bias_abs_bin_0': 0.14482153952121735, 'redshifts/bias_abs_bin_1': 0.09005145728588104, 'redshifts/bias_abs_bin_2': 0.05835113674402237, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023499278351664543, 'redshifts/bias': 0.004342335741966963, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.010392154566943645, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.0067835282534360886, 'redshifts/bias_bin_5': 0.00023587510804645717, 'redshifts/mse': 0.310121089220047, 'redshifts/mse_bin_0': 0.4361370801925659, 'redshifts/mse_bin_1': 0.36041784286499023, 'redshifts/mse_bin_2': 0.29263830184936523, 'redshifts/mse_bin_3': 0.2191290259361267, 'redshifts/mse_bin_4': 0.23288193345069885, 'redshifts/mse_bin_5': 0.0737646222114563, 'redshifts/nmad': 0.11091050505638123, 'redshifts/nmad_bin_0': 0.21156005561351776, 'redshifts/nmad_bin_1': 0.1333610862493515, 'redshifts/nmad_bin_2': 0.08602003753185272, 'redshifts/nmad_bin_3': 0.07005201280117035, 'redshifts/nmad_bin_4': 0.06414110958576202, 'redshifts/nmad_bin_5': 0.03486204892396927, 'redshifts/outlier_fraction': 0.3246806561946869, 'redshifts/outlier_fraction_bin_0': 0.4889530837535858, 'redshifts/outlier_fraction_bin_1': 0.35435253381729126, 'redshifts/outlier_fraction_bin_2': 0.253196120262146, 'redshifts/outlier_fraction_bin_3': 0.19871677458286285, 'redshifts/outlier_fraction_bin_4': 0.18960149586200714, 'redshifts/outlier_fraction_bin_5': 0.09151138365268707, 'redshifts/outlier_fraction_cata': 0.08778340369462967, 'redshifts/outlier_fraction_cata_bin_0': 0.13107433915138245, 'redshifts/outlier_fraction_cata_bin_1': 0.09831095486879349, 'redshifts/outlier_fraction_cata_bin_2': 0.07795447111129761, 'redshifts/outlier_fraction_cata_bin_3': 0.05737855285406113, 'redshifts/outlier_fraction_cata_bin_4': 0.05884184315800667, 'redshifts/outlier_fraction_cata_bin_5': 0.0167184267193079}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1518/1563 [2:23:38<02:41, 3.59s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95016.])\n", + "total num of pts: tensor([34284., 23108., 9625., 5459., 3215., 19325.])\n", + "{'redshifts/bias_abs': 0.07494410872459412, 'redshifts/bias_abs_bin_0': 0.1448279768228531, 'redshifts/bias_abs_bin_1': 0.09007281810045242, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.02350468561053276, 'redshifts/bias': 0.004337481688708067, 'redshifts/bias_bin_0': 0.028026718646287918, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00023025984410196543, 'redshifts/mse': 0.3102017045021057, 'redshifts/mse_bin_0': 0.4361203908920288, 'redshifts/mse_bin_1': 0.3605305850505829, 'redshifts/mse_bin_2': 0.2925630509853363, 'redshifts/mse_bin_3': 0.22013342380523682, 'redshifts/mse_bin_4': 0.23266756534576416, 'redshifts/mse_bin_5': 0.07375705242156982, 'redshifts/nmad': 0.11092603951692581, 'redshifts/nmad_bin_0': 0.21172082424163818, 'redshifts/nmad_bin_1': 0.1333775818347931, 'redshifts/nmad_bin_2': 0.08597200363874435, 'redshifts/nmad_bin_3': 0.07011331617832184, 'redshifts/nmad_bin_4': 0.06413731724023819, 'redshifts/nmad_bin_5': 0.03487037494778633, 'redshifts/outlier_fraction': 0.32473477721214294, 'redshifts/outlier_fraction_bin_0': 0.4890327751636505, 'redshifts/outlier_fraction_bin_1': 0.3543361723423004, 'redshifts/outlier_fraction_bin_2': 0.25319480895996094, 'redshifts/outlier_fraction_bin_3': 0.1989375352859497, 'redshifts/outlier_fraction_bin_4': 0.1894245743751526, 'redshifts/outlier_fraction_bin_5': 0.09153945744037628, 'redshifts/outlier_fraction_cata': 0.08780626207590103, 'redshifts/outlier_fraction_cata_bin_0': 0.13108155131340027, 'redshifts/outlier_fraction_cata_bin_1': 0.09832093119621277, 'redshifts/outlier_fraction_cata_bin_2': 0.07792207598686218, 'redshifts/outlier_fraction_cata_bin_3': 0.05770287662744522, 'redshifts/outlier_fraction_cata_bin_4': 0.05878693610429764, 'redshifts/outlier_fraction_cata_bin_5': 0.016714101657271385}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1519/1563 [2:23:40<02:18, 3.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95089.])\n", + "total num of pts: tensor([34313., 23123., 9635., 5462., 3215., 19341.])\n", + "{'redshifts/bias_abs': 0.0749497041106224, 'redshifts/bias_abs_bin_0': 0.14491119980812073, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.05835113674402237, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023499278351664543, 'redshifts/bias': 0.004339724779129028, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.010392154566943645, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.0002252548874821514, 'redshifts/mse': 0.3102385997772217, 'redshifts/mse_bin_0': 0.43612542748451233, 'redshifts/mse_bin_1': 0.36068466305732727, 'redshifts/mse_bin_2': 0.29267969727516174, 'redshifts/mse_bin_3': 0.22002172470092773, 'redshifts/mse_bin_4': 0.23266756534576416, 'redshifts/mse_bin_5': 0.07370959222316742, 'redshifts/nmad': 0.1109357550740242, 'redshifts/nmad_bin_0': 0.21186214685440063, 'redshifts/nmad_bin_1': 0.13339568674564362, 'redshifts/nmad_bin_2': 0.08602003753185272, 'redshifts/nmad_bin_3': 0.07011331617832184, 'redshifts/nmad_bin_4': 0.06413731724023819, 'redshifts/nmad_bin_5': 0.03486769273877144, 'redshifts/outlier_fraction': 0.32481148838996887, 'redshifts/outlier_fraction_bin_0': 0.48917320370674133, 'redshifts/outlier_fraction_bin_1': 0.35440903902053833, 'redshifts/outlier_fraction_bin_2': 0.25334715843200684, 'redshifts/outlier_fraction_bin_3': 0.19882826507091522, 'redshifts/outlier_fraction_bin_4': 0.1894245743751526, 'redshifts/outlier_fraction_bin_5': 0.0915154367685318, 'redshifts/outlier_fraction_cata': 0.08780195564031601, 'redshifts/outlier_fraction_cata_bin_0': 0.1310582011938095, 'redshifts/outlier_fraction_cata_bin_1': 0.09834364056587219, 'redshifts/outlier_fraction_cata_bin_2': 0.07794499397277832, 'redshifts/outlier_fraction_cata_bin_3': 0.05767118185758591, 'redshifts/outlier_fraction_cata_bin_4': 0.05878693610429764, 'redshifts/outlier_fraction_cata_bin_5': 0.016700273379683495}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1520/1563 [2:23:43<02:02, 2.85s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95141.])\n", + "total num of pts: tensor([34335., 23137., 9639., 5466., 3216., 19348.])\n", + "{'redshifts/bias_abs': 0.07496732473373413, 'redshifts/bias_abs_bin_0': 0.14495381712913513, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05835113674402237, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023499278351664543, 'redshifts/bias': 0.004337481688708067, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.31035780906677246, 'redshifts/mse_bin_0': 0.4363899827003479, 'redshifts/mse_bin_1': 0.3605929911136627, 'redshifts/mse_bin_2': 0.29314476251602173, 'redshifts/mse_bin_3': 0.21989642083644867, 'redshifts/mse_bin_4': 0.23259615898132324, 'redshifts/mse_bin_5': 0.07368382811546326, 'redshifts/nmad': 0.11094600707292557, 'redshifts/nmad_bin_0': 0.2119707316160202, 'redshifts/nmad_bin_1': 0.13346761465072632, 'redshifts/nmad_bin_2': 0.08602003753185272, 'redshifts/nmad_bin_3': 0.07005201280117035, 'redshifts/nmad_bin_4': 0.06407041102647781, 'redshifts/nmad_bin_5': 0.03486918658018112, 'redshifts/outlier_fraction': 0.3248967230319977, 'redshifts/outlier_fraction_bin_0': 0.489267498254776, 'redshifts/outlier_fraction_bin_1': 0.3545835614204407, 'redshifts/outlier_fraction_bin_2': 0.253345787525177, 'redshifts/outlier_fraction_bin_3': 0.19886571168899536, 'redshifts/outlier_fraction_bin_4': 0.1893656700849533, 'redshifts/outlier_fraction_bin_5': 0.09148232638835907, 'redshifts/outlier_fraction_cata': 0.08784855902194977, 'redshifts/outlier_fraction_cata_bin_0': 0.13120722770690918, 'redshifts/outlier_fraction_cata_bin_1': 0.09828413277864456, 'redshifts/outlier_fraction_cata_bin_2': 0.07801639288663864, 'redshifts/outlier_fraction_cata_bin_3': 0.05762897804379463, 'redshifts/outlier_fraction_cata_bin_4': 0.058768656104803085, 'redshifts/outlier_fraction_cata_bin_5': 0.01669423282146454}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1521/1563 [2:23:45<01:49, 2.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95203.])\n", + "total num of pts: tensor([34358., 23152., 9650., 5471., 3216., 19356.])\n", + "{'redshifts/bias_abs': 0.07493671774864197, 'redshifts/bias_abs_bin_0': 0.14492474496364594, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.046647511422634125, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02349802851676941, 'redshifts/bias': 0.004334896802902222, 'redshifts/bias_bin_0': 0.02803060971200466, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00022534903837367892, 'redshifts/mse': 0.3103577494621277, 'redshifts/mse_bin_0': 0.43632787466049194, 'redshifts/mse_bin_1': 0.36039960384368896, 'redshifts/mse_bin_2': 0.29354768991470337, 'redshifts/mse_bin_3': 0.21969754993915558, 'redshifts/mse_bin_4': 0.23259615898132324, 'redshifts/mse_bin_5': 0.07382280379533768, 'redshifts/nmad': 0.11091180890798569, 'redshifts/nmad_bin_0': 0.2118237316608429, 'redshifts/nmad_bin_1': 0.13334143161773682, 'redshifts/nmad_bin_2': 0.08599591255187988, 'redshifts/nmad_bin_3': 0.06995688378810883, 'redshifts/nmad_bin_4': 0.06407041102647781, 'redshifts/nmad_bin_5': 0.0348673090338707, 'redshifts/outlier_fraction': 0.3248426914215088, 'redshifts/outlier_fraction_bin_0': 0.48923105001449585, 'redshifts/outlier_fraction_bin_1': 0.3543970286846161, 'redshifts/outlier_fraction_bin_2': 0.25326424837112427, 'redshifts/outlier_fraction_bin_3': 0.1986839771270752, 'redshifts/outlier_fraction_bin_4': 0.1893656700849533, 'redshifts/outlier_fraction_bin_5': 0.09154783934354782, 'redshifts/outlier_fraction_cata': 0.08785437792539597, 'redshifts/outlier_fraction_cata_bin_0': 0.1312067061662674, 'redshifts/outlier_fraction_cata_bin_1': 0.09822045266628265, 'redshifts/outlier_fraction_cata_bin_2': 0.07813471555709839, 'redshifts/outlier_fraction_cata_bin_3': 0.05757630988955498, 'redshifts/outlier_fraction_cata_bin_4': 0.058768656104803085, 'redshifts/outlier_fraction_cata_bin_5': 0.016738995909690857}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1522/1563 [2:23:47<01:42, 2.50s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95272.])\n", + "total num of pts: tensor([34386., 23174., 9656., 5473., 3220., 19363.])\n", + "{'redshifts/bias_abs': 0.07494410872459412, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.046647511422634125, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02350468561053276, 'redshifts/bias': 0.004334535915404558, 'redshifts/bias_bin_0': 0.028032446280121803, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00022423811606131494, 'redshifts/mse': 0.31034162640571594, 'redshifts/mse_bin_0': 0.4361197352409363, 'redshifts/mse_bin_1': 0.3606327176094055, 'redshifts/mse_bin_2': 0.2934403121471405, 'redshifts/mse_bin_3': 0.21970070898532867, 'redshifts/mse_bin_4': 0.2323095053434372, 'redshifts/mse_bin_5': 0.07381169497966766, 'redshifts/nmad': 0.11092116683721542, 'redshifts/nmad_bin_0': 0.2117784172296524, 'redshifts/nmad_bin_1': 0.1333589404821396, 'redshifts/nmad_bin_2': 0.08599591255187988, 'redshifts/nmad_bin_3': 0.07000527530908585, 'redshifts/nmad_bin_4': 0.06388639658689499, 'redshifts/nmad_bin_5': 0.034879300743341446, 'redshifts/outlier_fraction': 0.3248593509197235, 'redshifts/outlier_fraction_bin_0': 0.48915255069732666, 'redshifts/outlier_fraction_bin_1': 0.35449209809303284, 'redshifts/outlier_fraction_bin_2': 0.2532104253768921, 'redshifts/outlier_fraction_bin_3': 0.19879408180713654, 'redshifts/outlier_fraction_bin_4': 0.18913044035434723, 'redshifts/outlier_fraction_bin_5': 0.09156639128923416, 'redshifts/outlier_fraction_cata': 0.08785372227430344, 'redshifts/outlier_fraction_cata_bin_0': 0.1310998648405075, 'redshifts/outlier_fraction_cata_bin_1': 0.09838612377643585, 'redshifts/outlier_fraction_cata_bin_2': 0.07808616757392883, 'redshifts/outlier_fraction_cata_bin_3': 0.05755527317523956, 'redshifts/outlier_fraction_cata_bin_4': 0.05869565159082413, 'redshifts/outlier_fraction_cata_bin_5': 0.016732944175601006}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 1523/1563 [2:23:49<01:36, 2.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95335.])\n", + "total num of pts: tensor([34409., 23187., 9664., 5478., 3223., 19374.])\n", + "{'redshifts/bias_abs': 0.07495424151420593, 'redshifts/bias_abs_bin_0': 0.1448463648557663, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.046636614948511124, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02350638620555401, 'redshifts/bias': 0.004334535915404558, 'redshifts/bias_bin_0': 0.028032446280121803, 'redshifts/bias_bin_1': 0.010336407460272312, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.31036290526390076, 'redshifts/mse_bin_0': 0.43600600957870483, 'redshifts/mse_bin_1': 0.36075904965400696, 'redshifts/mse_bin_2': 0.29328277707099915, 'redshifts/mse_bin_3': 0.2196243852376938, 'redshifts/mse_bin_4': 0.23304450511932373, 'redshifts/mse_bin_5': 0.073938749730587, 'redshifts/nmad': 0.11093812435865402, 'redshifts/nmad_bin_0': 0.21164630353450775, 'redshifts/nmad_bin_1': 0.1332886517047882, 'redshifts/nmad_bin_2': 0.08600947260856628, 'redshifts/nmad_bin_3': 0.06994558870792389, 'redshifts/nmad_bin_4': 0.06404630094766617, 'redshifts/nmad_bin_5': 0.0348808616399765, 'redshifts/outlier_fraction': 0.32484397292137146, 'redshifts/outlier_fraction_bin_0': 0.48911622166633606, 'redshifts/outlier_fraction_bin_1': 0.35442274808883667, 'redshifts/outlier_fraction_bin_2': 0.2532077729701996, 'redshifts/outlier_fraction_bin_3': 0.19879518449306488, 'redshifts/outlier_fraction_bin_4': 0.1895749270915985, 'redshifts/outlier_fraction_bin_5': 0.09156601876020432, 'redshifts/outlier_fraction_cata': 0.08785860240459442, 'redshifts/outlier_fraction_cata_bin_0': 0.1310703605413437, 'redshifts/outlier_fraction_cata_bin_1': 0.09841721504926682, 'redshifts/outlier_fraction_cata_bin_2': 0.07802152633666992, 'redshifts/outlier_fraction_cata_bin_3': 0.05750273913145065, 'redshifts/outlier_fraction_cata_bin_4': 0.05895128846168518, 'redshifts/outlier_fraction_cata_bin_5': 0.016775058582425117}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1524/1563 [2:23:51<01:29, 2.28s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95387.])\n", + "total num of pts: tensor([34433., 23204., 9667., 5480., 3223., 19380.])\n", + "{'redshifts/bias_abs': 0.07497673481702805, 'redshifts/bias_abs_bin_0': 0.14486178755760193, 'redshifts/bias_abs_bin_1': 0.09005145728588104, 'redshifts/bias_abs_bin_2': 0.05835113674402237, 'redshifts/bias_abs_bin_3': 0.046647511422634125, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02350468561053276, 'redshifts/bias': 0.004337481688708067, 'redshifts/bias_bin_0': 0.028058385476469994, 'redshifts/bias_bin_1': 0.010367368347942829, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0002252548874821514, 'redshifts/mse': 0.3104300796985626, 'redshifts/mse_bin_0': 0.4359408915042877, 'redshifts/mse_bin_1': 0.36087414622306824, 'redshifts/mse_bin_2': 0.2932891249656677, 'redshifts/mse_bin_3': 0.2203792780637741, 'redshifts/mse_bin_4': 0.23304450511932373, 'redshifts/mse_bin_5': 0.07391607761383057, 'redshifts/nmad': 0.11095301061868668, 'redshifts/nmad_bin_0': 0.21173998713493347, 'redshifts/nmad_bin_1': 0.13329949975013733, 'redshifts/nmad_bin_2': 0.08602190017700195, 'redshifts/nmad_bin_3': 0.0700179934501648, 'redshifts/nmad_bin_4': 0.06404630094766617, 'redshifts/nmad_bin_5': 0.03487779200077057, 'redshifts/outlier_fraction': 0.3248765468597412, 'redshifts/outlier_fraction_bin_0': 0.48915284872055054, 'redshifts/outlier_fraction_bin_1': 0.3543785512447357, 'redshifts/outlier_fraction_bin_2': 0.2532326579093933, 'redshifts/outlier_fraction_bin_3': 0.1989051103591919, 'redshifts/outlier_fraction_bin_4': 0.1895749270915985, 'redshifts/outlier_fraction_bin_5': 0.09153766930103302, 'redshifts/outlier_fraction_cata': 0.08787360787391663, 'redshifts/outlier_fraction_cata_bin_0': 0.13100804388523102, 'redshifts/outlier_fraction_cata_bin_1': 0.09851749986410141, 'redshifts/outlier_fraction_cata_bin_2': 0.07799731194972992, 'redshifts/outlier_fraction_cata_bin_3': 0.057664234191179276, 'redshifts/outlier_fraction_cata_bin_4': 0.05895128846168518, 'redshifts/outlier_fraction_cata_bin_5': 0.01676986552774906}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1525/1563 [2:23:53<01:24, 2.24s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95454.])\n", + "total num of pts: tensor([34449., 23224., 9675., 5484., 3224., 19398.])\n", + "{'redshifts/bias_abs': 0.07497388869524002, 'redshifts/bias_abs_bin_0': 0.1448459029197693, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.046647511422634125, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023499278351664543, 'redshifts/bias': 0.004334896802902222, 'redshifts/bias_bin_0': 0.028058385476469994, 'redshifts/bias_bin_1': 0.010323639959096909, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00022424674534704536, 'redshifts/mse': 0.31033462285995483, 'redshifts/mse_bin_0': 0.4358433187007904, 'redshifts/mse_bin_1': 0.3607941269874573, 'redshifts/mse_bin_2': 0.29329028725624084, 'redshifts/mse_bin_3': 0.22023813426494598, 'redshifts/mse_bin_4': 0.23298461735248566, 'redshifts/mse_bin_5': 0.07385814934968948, 'redshifts/nmad': 0.11094934493303299, 'redshifts/nmad_bin_0': 0.2116895169019699, 'redshifts/nmad_bin_1': 0.13325951993465424, 'redshifts/nmad_bin_2': 0.08603830635547638, 'redshifts/nmad_bin_3': 0.07013003528118134, 'redshifts/nmad_bin_4': 0.06404630094766617, 'redshifts/nmad_bin_5': 0.03486918658018112, 'redshifts/outlier_fraction': 0.3248370885848999, 'redshifts/outlier_fraction_bin_0': 0.4890998303890228, 'redshifts/outlier_fraction_bin_1': 0.3544608950614929, 'redshifts/outlier_fraction_bin_2': 0.2532299757003784, 'redshifts/outlier_fraction_bin_3': 0.1987600326538086, 'redshifts/outlier_fraction_bin_4': 0.1895161271095276, 'redshifts/outlier_fraction_bin_5': 0.09150427579879761, 'redshifts/outlier_fraction_cata': 0.08784335851669312, 'redshifts/outlier_fraction_cata_bin_0': 0.13097622990608215, 'redshifts/outlier_fraction_cata_bin_1': 0.09847571700811386, 'redshifts/outlier_fraction_cata_bin_2': 0.07803617417812347, 'redshifts/outlier_fraction_cata_bin_3': 0.05762217193841934, 'redshifts/outlier_fraction_cata_bin_4': 0.05893300101161003, 'redshifts/outlier_fraction_cata_bin_5': 0.016754304990172386}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1526/1563 [2:23:55<01:21, 2.19s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95527.])\n", + "total num of pts: tensor([34469., 23246., 9681., 5490., 3229., 19412.])\n", + "{'redshifts/bias_abs': 0.07496732473373413, 'redshifts/bias_abs_bin_0': 0.14482715725898743, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023499278351664543, 'redshifts/bias': 0.004334535915404558, 'redshifts/bias_bin_0': 0.02804252877831459, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.002286587841808796, 'redshifts/bias_bin_3': -0.005788266193121672, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00022336999245453626, 'redshifts/mse': 0.3103392720222473, 'redshifts/mse_bin_0': 0.4357251226902008, 'redshifts/mse_bin_1': 0.36065274477005005, 'redshifts/mse_bin_2': 0.293161004781723, 'redshifts/mse_bin_3': 0.22099022567272186, 'redshifts/mse_bin_4': 0.23410546779632568, 'redshifts/mse_bin_5': 0.0739627256989479, 'redshifts/nmad': 0.11094197630882263, 'redshifts/nmad_bin_0': 0.21169738471508026, 'redshifts/nmad_bin_1': 0.13331849873065948, 'redshifts/nmad_bin_2': 0.08603830635547638, 'redshifts/nmad_bin_3': 0.07013003528118134, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.034870486706495285, 'redshifts/outlier_fraction': 0.324829638004303, 'redshifts/outlier_fraction_bin_0': 0.4890481233596802, 'redshifts/outlier_fraction_bin_1': 0.3544695973396301, 'redshifts/outlier_fraction_bin_2': 0.2532796263694763, 'redshifts/outlier_fraction_bin_3': 0.19890710711479187, 'redshifts/outlier_fraction_bin_4': 0.18953236937522888, 'redshifts/outlier_fraction_bin_5': 0.09154131263494492, 'redshifts/outlier_fraction_cata': 0.0878390371799469, 'redshifts/outlier_fraction_cata_bin_0': 0.13092924654483795, 'redshifts/outlier_fraction_cata_bin_1': 0.09842553734779358, 'redshifts/outlier_fraction_cata_bin_2': 0.07798781245946884, 'redshifts/outlier_fraction_cata_bin_3': 0.05792349576950073, 'redshifts/outlier_fraction_cata_bin_4': 0.05915144085884094, 'redshifts/outlier_fraction_cata_bin_5': 0.016793735325336456}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1527/1563 [2:23:57<01:17, 2.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95600.])\n", + "total num of pts: tensor([34497., 23268., 9687., 5493., 3233., 19422.])\n", + "{'redshifts/bias_abs': 0.07499001175165176, 'redshifts/bias_abs_bin_0': 0.14482153952121735, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02350468561053276, 'redshifts/bias': 0.004342335741966963, 'redshifts/bias_bin_0': 0.028089135885238647, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00022423811606131494, 'redshifts/mse': 0.31031543016433716, 'redshifts/mse_bin_0': 0.4356827735900879, 'redshifts/mse_bin_1': 0.3606564402580261, 'redshifts/mse_bin_2': 0.2929809093475342, 'redshifts/mse_bin_3': 0.22088249027729034, 'redshifts/mse_bin_4': 0.23422370851039886, 'redshifts/mse_bin_5': 0.07393546402454376, 'redshifts/nmad': 0.11096020042896271, 'redshifts/nmad_bin_0': 0.21164391934871674, 'redshifts/nmad_bin_1': 0.13340160250663757, 'redshifts/nmad_bin_2': 0.08600947260856628, 'redshifts/nmad_bin_3': 0.07005201280117035, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.034879300743341446, 'redshifts/outlier_fraction': 0.3248012661933899, 'redshifts/outlier_fraction_bin_0': 0.48902803659439087, 'redshifts/outlier_fraction_bin_1': 0.3544352650642395, 'redshifts/outlier_fraction_bin_2': 0.2531227469444275, 'redshifts/outlier_fraction_bin_3': 0.19879847764968872, 'redshifts/outlier_fraction_bin_4': 0.189607173204422, 'redshifts/outlier_fraction_bin_5': 0.09149418026208878, 'redshifts/outlier_fraction_cata': 0.0878242701292038, 'redshifts/outlier_fraction_cata_bin_0': 0.1308809518814087, 'redshifts/outlier_fraction_cata_bin_1': 0.09841842949390411, 'redshifts/outlier_fraction_cata_bin_2': 0.07793950289487839, 'redshifts/outlier_fraction_cata_bin_3': 0.057891860604286194, 'redshifts/outlier_fraction_cata_bin_4': 0.05938756465911865, 'redshifts/outlier_fraction_cata_bin_5': 0.016785088926553726}\n", + "total num of pts: tensor([95659.])\n", + "total num of pts: tensor([34522., 23283., 9695., 5494., 3234., 19431.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1528/1563 [2:24:04<02:01, 3.46s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07500279694795609, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02350468561053276, 'redshifts/bias': 0.004349354654550552, 'redshifts/bias_bin_0': 0.02815573289990425, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0002252548874821514, 'redshifts/mse': 0.3102850317955017, 'redshifts/mse_bin_0': 0.4356761872768402, 'redshifts/mse_bin_1': 0.36048468947410583, 'redshifts/mse_bin_2': 0.29284292459487915, 'redshifts/mse_bin_3': 0.22084306180477142, 'redshifts/mse_bin_4': 0.23415133357048035, 'redshifts/mse_bin_5': 0.07402016967535019, 'redshifts/nmad': 0.11097292602062225, 'redshifts/nmad_bin_0': 0.2115451842546463, 'redshifts/nmad_bin_1': 0.13340160250663757, 'redshifts/nmad_bin_2': 0.08602375537157059, 'redshifts/nmad_bin_3': 0.07001818716526031, 'redshifts/nmad_bin_4': 0.06388639658689499, 'redshifts/nmad_bin_5': 0.03486769273877144, 'redshifts/outlier_fraction': 0.3248099982738495, 'redshifts/outlier_fraction_bin_0': 0.48899251222610474, 'redshifts/outlier_fraction_bin_1': 0.3544646203517914, 'redshifts/outlier_fraction_bin_2': 0.25312015414237976, 'redshifts/outlier_fraction_bin_3': 0.19876228272914886, 'redshifts/outlier_fraction_bin_4': 0.1895485520362854, 'redshifts/outlier_fraction_bin_5': 0.09150326997041702, 'redshifts/outlier_fraction_cata': 0.08780146390199661, 'redshifts/outlier_fraction_cata_bin_0': 0.1308441013097763, 'redshifts/outlier_fraction_cata_bin_1': 0.09835502505302429, 'redshifts/outlier_fraction_cata_bin_2': 0.07787519693374634, 'redshifts/outlier_fraction_cata_bin_3': 0.057881325483322144, 'redshifts/outlier_fraction_cata_bin_4': 0.059369202703237534, 'redshifts/outlier_fraction_cata_bin_5': 0.016828779131174088}\n", + "total num of pts: tensor([95716.])\n", + "total num of pts: tensor([34542., 23297., 9700., 5495., 3236., 19446.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1529/1563 [2:24:11<02:30, 4.43s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07500356435775757, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.05835113674402237, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02350468561053276, 'redshifts/bias': 0.004344537854194641, 'redshifts/bias_bin_0': 0.028133561834692955, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00022534903837367892, 'redshifts/mse': 0.3102737367153168, 'redshifts/mse_bin_0': 0.4357387125492096, 'redshifts/mse_bin_1': 0.3603910803794861, 'redshifts/mse_bin_2': 0.2927072048187256, 'redshifts/mse_bin_3': 0.22084815800189972, 'redshifts/mse_bin_4': 0.23468247056007385, 'redshifts/mse_bin_5': 0.07397760450839996, 'redshifts/nmad': 0.11097877472639084, 'redshifts/nmad_bin_0': 0.21156242489814758, 'redshifts/nmad_bin_1': 0.13338568806648254, 'redshifts/nmad_bin_2': 0.0860167145729065, 'redshifts/nmad_bin_3': 0.07005201280117035, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.034867554903030396, 'redshifts/outlier_fraction': 0.3248046338558197, 'redshifts/outlier_fraction_bin_0': 0.48896995186805725, 'redshifts/outlier_fraction_bin_1': 0.3544662296772003, 'redshifts/outlier_fraction_bin_2': 0.25309279561042786, 'redshifts/outlier_fraction_bin_3': 0.19890810549259186, 'redshifts/outlier_fraction_bin_4': 0.18974041938781738, 'redshifts/outlier_fraction_bin_5': 0.09148410707712173, 'redshifts/outlier_fraction_cata': 0.0878223106265068, 'redshifts/outlier_fraction_cata_bin_0': 0.13088414072990417, 'redshifts/outlier_fraction_cata_bin_1': 0.09838176518678665, 'redshifts/outlier_fraction_cata_bin_2': 0.07783505320549011, 'redshifts/outlier_fraction_cata_bin_3': 0.05787079036235809, 'redshifts/outlier_fraction_cata_bin_4': 0.059641532599925995, 'redshifts/outlier_fraction_cata_bin_5': 0.016815798357129097}\n", + "total num of pts: tensor([95783.])\n", + "total num of pts: tensor([34567., 23317., 9706., 5497., 3237., 19459.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1530/1563 [2:24:18<02:56, 5.34s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07502605766057968, 'redshifts/bias_abs_bin_0': 0.14482715725898743, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023499278351664543, 'redshifts/bias': 0.004352244082838297, 'redshifts/bias_bin_0': 0.02818337082862854, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00023587510804645717, 'redshifts/mse': 0.3102589249610901, 'redshifts/mse_bin_0': 0.4357435703277588, 'redshifts/mse_bin_1': 0.36041131615638733, 'redshifts/mse_bin_2': 0.2925611436367035, 'redshifts/mse_bin_3': 0.22076831758022308, 'redshifts/mse_bin_4': 0.23461003601551056, 'redshifts/mse_bin_5': 0.07394280284643173, 'redshifts/nmad': 0.11097975820302963, 'redshifts/nmad_bin_0': 0.21164098381996155, 'redshifts/nmad_bin_1': 0.1333841234445572, 'redshifts/nmad_bin_2': 0.08600947260856628, 'redshifts/nmad_bin_3': 0.06998533755540848, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.03485194966197014, 'redshifts/outlier_fraction': 0.32483842968940735, 'redshifts/outlier_fraction_bin_0': 0.48902133107185364, 'redshifts/outlier_fraction_bin_1': 0.3545481860637665, 'redshifts/outlier_fraction_bin_2': 0.2530393600463867, 'redshifts/outlier_fraction_bin_3': 0.19883573055267334, 'redshifts/outlier_fraction_bin_4': 0.1896817982196808, 'redshifts/outlier_fraction_bin_5': 0.09147438406944275, 'redshifts/outlier_fraction_cata': 0.08780263364315033, 'redshifts/outlier_fraction_cata_bin_0': 0.13084733486175537, 'redshifts/outlier_fraction_cata_bin_1': 0.09838315099477768, 'redshifts/outlier_fraction_cata_bin_2': 0.07778693735599518, 'redshifts/outlier_fraction_cata_bin_3': 0.057849735021591187, 'redshifts/outlier_fraction_cata_bin_4': 0.0596231073141098, 'redshifts/outlier_fraction_cata_bin_5': 0.016804562881588936}\n", + "total num of pts: tensor([95856.])\n", + "total num of pts: tensor([34593., 23328., 9714., 5505., 3241., 19475.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1531/1563 [2:24:25<03:09, 5.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07502605766057968, 'redshifts/bias_abs_bin_0': 0.14482153952121735, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.05835113674402237, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02350638620555401, 'redshifts/bias': 0.004359842743724585, 'redshifts/bias_bin_0': 0.028133561834692955, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.3102303743362427, 'redshifts/mse_bin_0': 0.43569985032081604, 'redshifts/mse_bin_1': 0.36043640971183777, 'redshifts/mse_bin_2': 0.29260581731796265, 'redshifts/mse_bin_3': 0.22049592435359955, 'redshifts/mse_bin_4': 0.23472239077091217, 'redshifts/mse_bin_5': 0.07394368201494217, 'redshifts/nmad': 0.11098525673151016, 'redshifts/nmad_bin_0': 0.21167109906673431, 'redshifts/nmad_bin_1': 0.1333841234445572, 'redshifts/nmad_bin_2': 0.08602190017700195, 'redshifts/nmad_bin_3': 0.06995688378810883, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.03486090525984764, 'redshifts/outlier_fraction': 0.3248414397239685, 'redshifts/outlier_fraction_bin_0': 0.4889717698097229, 'redshifts/outlier_fraction_bin_1': 0.3545524775981903, 'redshifts/outlier_fraction_bin_2': 0.25324273109436035, 'redshifts/outlier_fraction_bin_3': 0.19872842729091644, 'redshifts/outlier_fraction_bin_4': 0.18975624442100525, 'redshifts/outlier_fraction_bin_5': 0.09155327081680298, 'redshifts/outlier_fraction_cata': 0.08779836446046829, 'redshifts/outlier_fraction_cata_bin_0': 0.1308068037033081, 'redshifts/outlier_fraction_cata_bin_1': 0.09842249751091003, 'redshifts/outlier_fraction_cata_bin_2': 0.07782582193613052, 'redshifts/outlier_fraction_cata_bin_3': 0.057765666395425797, 'redshifts/outlier_fraction_cata_bin_4': 0.05985806882381439, 'redshifts/outlier_fraction_cata_bin_5': 0.016790756955742836}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1532/1563 [2:24:31<02:57, 5.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95912.])\n", + "total num of pts: tensor([34617., 23340., 9721., 5507., 3243., 19484.])\n", + "{'redshifts/bias_abs': 0.07500356435775757, 'redshifts/bias_abs_bin_0': 0.14482085406780243, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.058303866535425186, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023499278351664543, 'redshifts/bias': 0.004360631108283997, 'redshifts/bias_bin_0': 0.028089135885238647, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.0022963995579630136, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0002575816761236638, 'redshifts/mse': 0.31029802560806274, 'redshifts/mse_bin_0': 0.43576353788375854, 'redshifts/mse_bin_1': 0.36027294397354126, 'redshifts/mse_bin_2': 0.2933603525161743, 'redshifts/mse_bin_3': 0.22053499519824982, 'redshifts/mse_bin_4': 0.23473866283893585, 'redshifts/mse_bin_5': 0.07391636818647385, 'redshifts/nmad': 0.11097864806652069, 'redshifts/nmad_bin_0': 0.21164391934871674, 'redshifts/nmad_bin_1': 0.13334298133850098, 'redshifts/nmad_bin_2': 0.08600947260856628, 'redshifts/nmad_bin_3': 0.06995688378810883, 'redshifts/nmad_bin_4': 0.06404630094766617, 'redshifts/nmad_bin_5': 0.034854765981435776, 'redshifts/outlier_fraction': 0.32482901215553284, 'redshifts/outlier_fraction_bin_0': 0.4889505207538605, 'redshifts/outlier_fraction_bin_1': 0.3544558584690094, 'redshifts/outlier_fraction_bin_2': 0.2532661259174347, 'redshifts/outlier_fraction_bin_3': 0.19883784651756287, 'redshifts/outlier_fraction_bin_4': 0.18994757533073425, 'redshifts/outlier_fraction_bin_5': 0.09151098132133484, 'redshifts/outlier_fraction_cata': 0.08778880536556244, 'redshifts/outlier_fraction_cata_bin_0': 0.1307739019393921, 'redshifts/outlier_fraction_cata_bin_1': 0.09837189316749573, 'redshifts/outlier_fraction_cata_bin_2': 0.07797551900148392, 'redshifts/outlier_fraction_cata_bin_3': 0.05774468928575516, 'redshifts/outlier_fraction_cata_bin_4': 0.05982115492224693, 'redshifts/outlier_fraction_cata_bin_5': 0.01678300090134144}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1533/1563 [2:24:36<02:49, 5.65s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([95957.])\n", + "total num of pts: tensor([34633., 23351., 9726., 5511., 3243., 19493.])\n", + "{'redshifts/bias_abs': 0.07500279694795609, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05830150097608566, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023493247106671333, 'redshifts/bias': 0.004352244082838297, 'redshifts/bias_bin_0': 0.028089135885238647, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.31029388308525085, 'redshifts/mse_bin_0': 0.4357576370239258, 'redshifts/mse_bin_1': 0.36015403270721436, 'redshifts/mse_bin_2': 0.29328814148902893, 'redshifts/mse_bin_3': 0.2211359441280365, 'redshifts/mse_bin_4': 0.23473866283893585, 'redshifts/mse_bin_5': 0.07391567528247833, 'redshifts/nmad': 0.11097489297389984, 'redshifts/nmad_bin_0': 0.2115691602230072, 'redshifts/nmad_bin_1': 0.13332006335258484, 'redshifts/nmad_bin_2': 0.08591993153095245, 'redshifts/nmad_bin_3': 0.06998533755540848, 'redshifts/nmad_bin_4': 0.06404630094766617, 'redshifts/nmad_bin_5': 0.03484749421477318, 'redshifts/outlier_fraction': 0.3248121440410614, 'redshifts/outlier_fraction_bin_0': 0.4888978600502014, 'redshifts/outlier_fraction_bin_1': 0.3544173836708069, 'redshifts/outlier_fraction_bin_2': 0.2532387375831604, 'redshifts/outlier_fraction_bin_3': 0.19905643165111542, 'redshifts/outlier_fraction_bin_4': 0.18994757533073425, 'redshifts/outlier_fraction_bin_5': 0.0915200337767601, 'redshifts/outlier_fraction_cata': 0.08778931945562363, 'redshifts/outlier_fraction_cata_bin_0': 0.13080009818077087, 'redshifts/outlier_fraction_cata_bin_1': 0.09832555055618286, 'redshifts/outlier_fraction_cata_bin_2': 0.07793542742729187, 'redshifts/outlier_fraction_cata_bin_3': 0.057884231209754944, 'redshifts/outlier_fraction_cata_bin_4': 0.05982115492224693, 'redshifts/outlier_fraction_cata_bin_5': 0.016775252297520638}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1534/1563 [2:24:45<03:10, 6.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([96017.])\n", + "total num of pts: tensor([34652., 23373., 9731., 5513., 3246., 19502.])\n", + "{'redshifts/bias_abs': 0.0750061646103859, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09007281810045242, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04670418053865433, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023491352796554565, 'redshifts/bias': 0.004359842743724585, 'redshifts/bias_bin_0': 0.028089135885238647, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.3103373050689697, 'redshifts/mse_bin_0': 0.43591272830963135, 'redshifts/mse_bin_1': 0.3601559102535248, 'redshifts/mse_bin_2': 0.29323041439056396, 'redshifts/mse_bin_3': 0.22107930481433868, 'redshifts/mse_bin_4': 0.23452642560005188, 'redshifts/mse_bin_5': 0.07388751953840256, 'redshifts/nmad': 0.11097747832536697, 'redshifts/nmad_bin_0': 0.21156227588653564, 'redshifts/nmad_bin_1': 0.13330046832561493, 'redshifts/nmad_bin_2': 0.08604592829942703, 'redshifts/nmad_bin_3': 0.07010040432214737, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.03483618050813675, 'redshifts/outlier_fraction': 0.3248487114906311, 'redshifts/outlier_fraction_bin_0': 0.48891839385032654, 'redshifts/outlier_fraction_bin_1': 0.354383260011673, 'redshifts/outlier_fraction_bin_2': 0.2535196840763092, 'redshifts/outlier_fraction_bin_3': 0.19916561245918274, 'redshifts/outlier_fraction_bin_4': 0.18977202475070953, 'redshifts/outlier_fraction_bin_5': 0.09152907133102417, 'redshifts/outlier_fraction_cata': 0.08781778067350388, 'redshifts/outlier_fraction_cata_bin_0': 0.1308726817369461, 'redshifts/outlier_fraction_cata_bin_1': 0.09836135804653168, 'redshifts/outlier_fraction_cata_bin_2': 0.077895388007164, 'redshifts/outlier_fraction_cata_bin_3': 0.057863231748342514, 'redshifts/outlier_fraction_cata_bin_4': 0.05976586416363716, 'redshifts/outlier_fraction_cata_bin_5': 0.016767511144280434}\n", + "total num of pts: tensor([96093.])\n", + "total num of pts: tensor([34687., 23389., 9739., 5515., 3248., 19515.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1535/1563 [2:24:54<03:24, 7.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07501763105392456, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09007281810045242, 'redshifts/bias_abs_bin_2': 0.05838262289762497, 'redshifts/bias_abs_bin_3': 0.04675816744565964, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023489737883210182, 'redshifts/bias': 0.004360631108283997, 'redshifts/bias_bin_0': 0.02819235250353813, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.3104020953178406, 'redshifts/mse_bin_0': 0.4359076917171478, 'redshifts/mse_bin_1': 0.36021536588668823, 'redshifts/mse_bin_2': 0.2931722402572632, 'redshifts/mse_bin_3': 0.2210153341293335, 'redshifts/mse_bin_4': 0.23483189940452576, 'redshifts/mse_bin_5': 0.07405609637498856, 'redshifts/nmad': 0.11097864806652069, 'redshifts/nmad_bin_0': 0.2115609049797058, 'redshifts/nmad_bin_1': 0.13330046832561493, 'redshifts/nmad_bin_2': 0.08604975044727325, 'redshifts/nmad_bin_3': 0.07008046656847, 'redshifts/nmad_bin_4': 0.06391051411628723, 'redshifts/nmad_bin_5': 0.03482590615749359, 'redshifts/outlier_fraction': 0.3249352276325226, 'redshifts/outlier_fraction_bin_0': 0.48894399404525757, 'redshifts/outlier_fraction_bin_1': 0.3544401228427887, 'redshifts/outlier_fraction_bin_2': 0.2537221610546112, 'redshifts/outlier_fraction_bin_3': 0.1992747038602829, 'redshifts/outlier_fraction_bin_4': 0.18996305763721466, 'redshifts/outlier_fraction_bin_5': 0.09157058596611023, 'redshifts/outlier_fraction_cata': 0.08783157914876938, 'redshifts/outlier_fraction_cata_bin_0': 0.13088476657867432, 'redshifts/outlier_fraction_cata_bin_1': 0.09833682328462601, 'redshifts/outlier_fraction_cata_bin_2': 0.07783140242099762, 'redshifts/outlier_fraction_cata_bin_3': 0.05784224718809128, 'redshifts/outlier_fraction_cata_bin_4': 0.06003694608807564, 'redshifts/outlier_fraction_cata_bin_5': 0.01680758409202099}\n", + "total num of pts: tensor([96157.])\n", + "total num of pts: tensor([34706., 23404., 9748., 5519., 3251., 19529.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1536/1563 [2:25:03<03:36, 8.03s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0749959945678711, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05836835503578186, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023482443764805794, 'redshifts/bias': 0.004362151026725769, 'redshifts/bias_bin_0': 0.02818337082862854, 'redshifts/bias_bin_1': 0.010379942134022713, 'redshifts/bias_bin_2': -0.002301283646374941, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00025343894958496094, 'redshifts/mse': 0.31045058369636536, 'redshifts/mse_bin_0': 0.4358813762664795, 'redshifts/mse_bin_1': 0.36066117882728577, 'redshifts/mse_bin_2': 0.292967826128006, 'redshifts/mse_bin_3': 0.22085626423358917, 'redshifts/mse_bin_4': 0.2346174269914627, 'redshifts/mse_bin_5': 0.07403681427240372, 'redshifts/nmad': 0.11097168922424316, 'redshifts/nmad_bin_0': 0.2115475982427597, 'redshifts/nmad_bin_1': 0.13331812620162964, 'redshifts/nmad_bin_2': 0.08602914214134216, 'redshifts/nmad_bin_3': 0.07003283500671387, 'redshifts/nmad_bin_4': 0.06390412896871567, 'redshifts/nmad_bin_5': 0.03482566028833389, 'redshifts/outlier_fraction': 0.3249373435974121, 'redshifts/outlier_fraction_bin_0': 0.4889068305492401, 'redshifts/outlier_fraction_bin_1': 0.35455477237701416, 'redshifts/outlier_fraction_bin_2': 0.25379565358161926, 'redshifts/outlier_fraction_bin_3': 0.19913028180599213, 'redshifts/outlier_fraction_bin_4': 0.18978776037693024, 'redshifts/outlier_fraction_bin_5': 0.09160735458135605, 'redshifts/outlier_fraction_cata': 0.08784592151641846, 'redshifts/outlier_fraction_cata_bin_0': 0.1308707445859909, 'redshifts/outlier_fraction_cata_bin_1': 0.09848743677139282, 'redshifts/outlier_fraction_cata_bin_2': 0.07775954157114029, 'redshifts/outlier_fraction_cata_bin_3': 0.057800326496362686, 'redshifts/outlier_fraction_cata_bin_4': 0.05998154357075691, 'redshifts/outlier_fraction_cata_bin_5': 0.016795534640550613}\n", + "total num of pts: tensor([96242.])\n", + "total num of pts: tensor([34729., 23428., 9759., 5527., 3256., 19543.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1537/1563 [2:25:12<03:30, 8.11s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07499217242002487, 'redshifts/bias_abs_bin_0': 0.14477525651454926, 'redshifts/bias_abs_bin_1': 0.09007281810045242, 'redshifts/bias_abs_bin_2': 0.058430854231119156, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.023482443764805794, 'redshifts/bias': 0.004360631108283997, 'redshifts/bias_bin_0': 0.028058385476469994, 'redshifts/bias_bin_1': 0.010389681905508041, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.0002479220274835825, 'redshifts/mse': 0.3105064928531647, 'redshifts/mse_bin_0': 0.43593838810920715, 'redshifts/mse_bin_1': 0.360571950674057, 'redshifts/mse_bin_2': 0.2933965027332306, 'redshifts/mse_bin_3': 0.22061195969581604, 'redshifts/mse_bin_4': 0.23589204251766205, 'redshifts/mse_bin_5': 0.07398644089698792, 'redshifts/nmad': 0.11096110194921494, 'redshifts/nmad_bin_0': 0.21149574220180511, 'redshifts/nmad_bin_1': 0.13331647217273712, 'redshifts/nmad_bin_2': 0.0861295834183693, 'redshifts/nmad_bin_3': 0.06995688378810883, 'redshifts/nmad_bin_4': 0.06387008726596832, 'redshifts/nmad_bin_5': 0.03482901677489281, 'redshifts/outlier_fraction': 0.32491013407707214, 'redshifts/outlier_fraction_bin_0': 0.4888133704662323, 'redshifts/outlier_fraction_bin_1': 0.3545757234096527, 'redshifts/outlier_fraction_bin_2': 0.25412440299987793, 'redshifts/outlier_fraction_bin_3': 0.19902297854423523, 'redshifts/outlier_fraction_bin_4': 0.18980343639850616, 'redshifts/outlier_fraction_bin_5': 0.09154172986745834, 'redshifts/outlier_fraction_cata': 0.08786185085773468, 'redshifts/outlier_fraction_cata_bin_0': 0.13087046146392822, 'redshifts/outlier_fraction_cata_bin_1': 0.09847191721200943, 'redshifts/outlier_fraction_cata_bin_2': 0.07797930389642715, 'redshifts/outlier_fraction_cata_bin_3': 0.05771666392683983, 'redshifts/outlier_fraction_cata_bin_4': 0.06019655987620354, 'redshifts/outlier_fraction_cata_bin_5': 0.01678350381553173}\n", + "total num of pts: tensor([96315.])\n", + "total num of pts: tensor([34752., 23452., 9763., 5532., 3261., 19555.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1538/1563 [2:25:21<03:30, 8.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07499458640813828, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.05848220735788345, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023489737883210182, 'redshifts/bias': 0.004362853243947029, 'redshifts/bias_bin_0': 0.028133561834692955, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005652060266584158, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0002479220274835825, 'redshifts/mse': 0.3105614483356476, 'redshifts/mse_bin_0': 0.43602487444877625, 'redshifts/mse_bin_1': 0.3607034981250763, 'redshifts/mse_bin_2': 0.2935141623020172, 'redshifts/mse_bin_3': 0.22044029831886292, 'redshifts/mse_bin_4': 0.2355356365442276, 'redshifts/mse_bin_5': 0.07397639751434326, 'redshifts/nmad': 0.11096365004777908, 'redshifts/nmad_bin_0': 0.2114821821451187, 'redshifts/nmad_bin_1': 0.13337890803813934, 'redshifts/nmad_bin_2': 0.08614642918109894, 'redshifts/nmad_bin_3': 0.07000527530908585, 'redshifts/nmad_bin_4': 0.0638333186507225, 'redshifts/nmad_bin_5': 0.034833841025829315, 'redshifts/outlier_fraction': 0.3249545693397522, 'redshifts/outlier_fraction_bin_0': 0.4888639450073242, 'redshifts/outlier_fraction_bin_1': 0.35468190908432007, 'redshifts/outlier_fraction_bin_2': 0.25422513484954834, 'redshifts/outlier_fraction_bin_3': 0.19902385771274567, 'redshifts/outlier_fraction_bin_4': 0.18951241672039032, 'redshifts/outlier_fraction_bin_5': 0.09153669327497482, 'redshifts/outlier_fraction_cata': 0.0878886952996254, 'redshifts/outlier_fraction_cata_bin_0': 0.13087016344070435, 'redshifts/outlier_fraction_cata_bin_1': 0.09858433902263641, 'redshifts/outlier_fraction_cata_bin_2': 0.07804977893829346, 'redshifts/outlier_fraction_cata_bin_3': 0.057664498686790466, 'redshifts/outlier_fraction_cata_bin_4': 0.060104262083768845, 'redshifts/outlier_fraction_cata_bin_5': 0.016773203387856483}\n", + "total num of pts: tensor([96369.])\n", + "total num of pts: tensor([34777., 23465., 9767., 5533., 3261., 19566.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 1539/1563 [2:25:27<03:04, 7.70s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0749959945678711, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05848308652639389, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.00437150290235877, 'redshifts/bias_bin_0': 0.02818337082862854, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0002575816761236638, 'redshifts/mse': 0.31066110730171204, 'redshifts/mse_bin_0': 0.43606793880462646, 'redshifts/mse_bin_1': 0.3607829809188843, 'redshifts/mse_bin_2': 0.2941448986530304, 'redshifts/mse_bin_3': 0.2204037606716156, 'redshifts/mse_bin_4': 0.2355356365442276, 'redshifts/mse_bin_5': 0.0739380270242691, 'redshifts/nmad': 0.1109570562839508, 'redshifts/nmad_bin_0': 0.2115475982427597, 'redshifts/nmad_bin_1': 0.13338378071784973, 'redshifts/nmad_bin_2': 0.08614642918109894, 'redshifts/nmad_bin_3': 0.06998533755540848, 'redshifts/nmad_bin_4': 0.0638333186507225, 'redshifts/nmad_bin_5': 0.03481952100992203, 'redshifts/outlier_fraction': 0.32503190636634827, 'redshifts/outlier_fraction_bin_0': 0.48897260427474976, 'redshifts/outlier_fraction_bin_1': 0.35474109649658203, 'redshifts/outlier_fraction_bin_2': 0.2543257772922516, 'redshifts/outlier_fraction_bin_3': 0.19898788630962372, 'redshifts/outlier_fraction_bin_4': 0.18951241672039032, 'redshifts/outlier_fraction_bin_5': 0.09153633564710617, 'redshifts/outlier_fraction_cata': 0.08792246133089066, 'redshifts/outlier_fraction_cata_bin_0': 0.1308910995721817, 'redshifts/outlier_fraction_cata_bin_1': 0.09861496090888977, 'redshifts/outlier_fraction_cata_bin_2': 0.07822258770465851, 'redshifts/outlier_fraction_cata_bin_3': 0.05765407532453537, 'redshifts/outlier_fraction_cata_bin_4': 0.060104262083768845, 'redshifts/outlier_fraction_cata_bin_5': 0.016763774678111076}\n", + "total num of pts: tensor([96436.])\n", + "total num of pts: tensor([34799., 23490., 9769., 5537., 3262., 19579.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▊| 1540/1563 [2:25:34<02:50, 7.41s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07499217242002487, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.05848220735788345, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004367757122963667, 'redshifts/bias_bin_0': 0.02818337082862854, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0023151827044785023, 'redshifts/bias_bin_3': -0.005712693091481924, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.0002577905834186822, 'redshifts/mse': 0.31055930256843567, 'redshifts/mse_bin_0': 0.4359961152076721, 'redshifts/mse_bin_1': 0.36055880784988403, 'redshifts/mse_bin_2': 0.29408565163612366, 'redshifts/mse_bin_3': 0.22026009857654572, 'redshifts/mse_bin_4': 0.23546861112117767, 'redshifts/mse_bin_5': 0.0738908052444458, 'redshifts/nmad': 0.1109505370259285, 'redshifts/nmad_bin_0': 0.21150420606136322, 'redshifts/nmad_bin_1': 0.1333882212638855, 'redshifts/nmad_bin_2': 0.0861295834183693, 'redshifts/nmad_bin_3': 0.07003283500671387, 'redshifts/nmad_bin_4': 0.06385742872953415, 'redshifts/nmad_bin_5': 0.03481438383460045, 'redshifts/outlier_fraction': 0.32495126128196716, 'redshifts/outlier_fraction_bin_0': 0.4888933598995209, 'redshifts/outlier_fraction_bin_1': 0.35461899638175964, 'redshifts/outlier_fraction_bin_2': 0.2542737126350403, 'redshifts/outlier_fraction_bin_3': 0.19884413480758667, 'redshifts/outlier_fraction_bin_4': 0.1894543170928955, 'redshifts/outlier_fraction_bin_5': 0.09147556126117706, 'redshifts/outlier_fraction_cata': 0.08788211643695831, 'redshifts/outlier_fraction_cata_bin_0': 0.13086582720279694, 'redshifts/outlier_fraction_cata_bin_1': 0.0985100045800209, 'redshifts/outlier_fraction_cata_bin_2': 0.07820656895637512, 'redshifts/outlier_fraction_cata_bin_3': 0.057612426578998566, 'redshifts/outlier_fraction_cata_bin_4': 0.06008583679795265, 'redshifts/outlier_fraction_cata_bin_5': 0.016752643510699272}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▊| 1541/1563 [2:25:39<02:32, 6.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([96498.])\n", + "total num of pts: tensor([34818., 23508., 9779., 5541., 3262., 19590.])\n", + "{'redshifts/bias_abs': 0.07499001175165176, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.058430854231119156, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.04325031861662865, 'redshifts/bias_abs_bin_5': 0.023478304967284203, 'redshifts/bias': 0.004377124831080437, 'redshifts/bias_bin_0': 0.02818337082862854, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00026785023510456085, 'redshifts/mse': 0.3105448782444, 'redshifts/mse_bin_0': 0.43596935272216797, 'redshifts/mse_bin_1': 0.36048588156700134, 'redshifts/mse_bin_2': 0.29427653551101685, 'redshifts/mse_bin_3': 0.22011764347553253, 'redshifts/mse_bin_4': 0.23546861112117767, 'redshifts/mse_bin_5': 0.07389188557863235, 'redshifts/nmad': 0.11094515770673752, 'redshifts/nmad_bin_0': 0.21142256259918213, 'redshifts/nmad_bin_1': 0.1334027349948883, 'redshifts/nmad_bin_2': 0.08609006553888321, 'redshifts/nmad_bin_3': 0.06995688378810883, 'redshifts/nmad_bin_4': 0.06385742872953415, 'redshifts/nmad_bin_5': 0.03480719402432442, 'redshifts/outlier_fraction': 0.3248979151248932, 'redshifts/outlier_fraction_bin_0': 0.48885634541511536, 'redshifts/outlier_fraction_bin_1': 0.3545176088809967, 'redshifts/outlier_fraction_bin_2': 0.2542182207107544, 'redshifts/outlier_fraction_bin_3': 0.19870059192180634, 'redshifts/outlier_fraction_bin_4': 0.1894543170928955, 'redshifts/outlier_fraction_bin_5': 0.0914752408862114, 'redshifts/outlier_fraction_cata': 0.08788783103227615, 'redshifts/outlier_fraction_cata_bin_0': 0.13088057935237885, 'redshifts/outlier_fraction_cata_bin_1': 0.09847711771726608, 'redshifts/outlier_fraction_cata_bin_2': 0.0783311203122139, 'redshifts/outlier_fraction_cata_bin_3': 0.05757083743810654, 'redshifts/outlier_fraction_cata_bin_4': 0.06008583679795265, 'redshifts/outlier_fraction_cata_bin_5': 0.016743237152695656}\n", + "total num of pts: tensor([96559.])\n", + "total num of pts: tensor([34842., 23521., 9782., 5545., 3263., 19606.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▊| 1542/1563 [2:25:46<02:21, 6.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0749940425157547, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.058430854231119156, 'redshifts/bias_abs_bin_3': 0.04668596759438515, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.0043840566650033, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005587894469499588, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00026723742485046387, 'redshifts/mse': 0.31063342094421387, 'redshifts/mse_bin_0': 0.4360623359680176, 'redshifts/mse_bin_1': 0.36062097549438477, 'redshifts/mse_bin_2': 0.2942151725292206, 'redshifts/mse_bin_3': 0.2201114445924759, 'redshifts/mse_bin_4': 0.23554976284503937, 'redshifts/mse_bin_5': 0.07405063509941101, 'redshifts/nmad': 0.11093535274267197, 'redshifts/nmad_bin_0': 0.21144171059131622, 'redshifts/nmad_bin_1': 0.13339489698410034, 'redshifts/nmad_bin_2': 0.08610232919454575, 'redshifts/nmad_bin_3': 0.06998533755540848, 'redshifts/nmad_bin_4': 0.06388001143932343, 'redshifts/nmad_bin_5': 0.03480743616819382, 'redshifts/outlier_fraction': 0.32492050528526306, 'redshifts/outlier_fraction_bin_0': 0.488864004611969, 'redshifts/outlier_fraction_bin_1': 0.3544917404651642, 'redshifts/outlier_fraction_bin_2': 0.254242479801178, 'redshifts/outlier_fraction_bin_3': 0.19873760640621185, 'redshifts/outlier_fraction_bin_4': 0.18970273435115814, 'redshifts/outlier_fraction_bin_5': 0.09155360609292984, 'redshifts/outlier_fraction_cata': 0.08791515976190567, 'redshifts/outlier_fraction_cata_bin_0': 0.13093392550945282, 'redshifts/outlier_fraction_cata_bin_1': 0.09850771725177765, 'redshifts/outlier_fraction_cata_bin_2': 0.07830709218978882, 'redshifts/outlier_fraction_cata_bin_3': 0.057529304176568985, 'redshifts/outlier_fraction_cata_bin_4': 0.060067422688007355, 'redshifts/outlier_fraction_cata_bin_5': 0.01678057760000229}\n", + "total num of pts: tensor([96628.])\n", + "total num of pts: tensor([34866., 23539., 9787., 5554., 3265., 19617.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▊| 1543/1563 [2:25:54<02:21, 7.07s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07499217242002487, 'redshifts/bias_abs_bin_0': 0.14475689828395844, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.04332571476697922, 'redshifts/bias_abs_bin_5': 0.02348235994577408, 'redshifts/bias': 0.004391572438180447, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.0053649963811039925, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00026858950150199234, 'redshifts/mse': 0.31051525473594666, 'redshifts/mse_bin_0': 0.4358605742454529, 'redshifts/mse_bin_1': 0.3606018126010895, 'redshifts/mse_bin_2': 0.2940937578678131, 'redshifts/mse_bin_3': 0.2197725921869278, 'redshifts/mse_bin_4': 0.23541070520877838, 'redshifts/mse_bin_5': 0.07401660084724426, 'redshifts/nmad': 0.11092729866504669, 'redshifts/nmad_bin_0': 0.21143190562725067, 'redshifts/nmad_bin_1': 0.13346163928508759, 'redshifts/nmad_bin_2': 0.08607365190982819, 'redshifts/nmad_bin_3': 0.06992745399475098, 'redshifts/nmad_bin_4': 0.06388001143932343, 'redshifts/nmad_bin_5': 0.034813545644283295, 'redshifts/outlier_fraction': 0.32484373450279236, 'redshifts/outlier_fraction_bin_0': 0.4887569546699524, 'redshifts/outlier_fraction_bin_1': 0.35447555780410767, 'redshifts/outlier_fraction_bin_2': 0.2542147636413574, 'redshifts/outlier_fraction_bin_3': 0.19841556251049042, 'redshifts/outlier_fraction_bin_4': 0.18958652019500732, 'redshifts/outlier_fraction_bin_5': 0.09150227159261703, 'redshifts/outlier_fraction_cata': 0.08787307888269424, 'redshifts/outlier_fraction_cata_bin_0': 0.13084380328655243, 'redshifts/outlier_fraction_cata_bin_1': 0.09851735085248947, 'redshifts/outlier_fraction_cata_bin_2': 0.07826709002256393, 'redshifts/outlier_fraction_cata_bin_3': 0.057436082512140274, 'redshifts/outlier_fraction_cata_bin_4': 0.060030627995729446, 'redshifts/outlier_fraction_cata_bin_5': 0.016771167516708374}\n", + "total num of pts: tensor([96707.])\n", + "total num of pts: tensor([34892., 23560., 9796., 5557., 3267., 19635.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1544/1563 [2:26:01<02:14, 7.06s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0749959945678711, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09007281810045242, 'redshifts/bias_abs_bin_2': 0.05838262289762497, 'redshifts/bias_abs_bin_3': 0.04665279760956764, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023491352796554565, 'redshifts/bias': 0.0043938555754721165, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00027111172676086426, 'redshifts/mse': 0.31052637100219727, 'redshifts/mse_bin_0': 0.43607956171035767, 'redshifts/mse_bin_1': 0.36050426959991455, 'redshifts/mse_bin_2': 0.29387709498405457, 'redshifts/mse_bin_3': 0.2196585088968277, 'redshifts/mse_bin_4': 0.2352755218744278, 'redshifts/mse_bin_5': 0.07398857176303864, 'redshifts/nmad': 0.11093561351299286, 'redshifts/nmad_bin_0': 0.21145710349082947, 'redshifts/nmad_bin_1': 0.1334027349948883, 'redshifts/nmad_bin_2': 0.08606457710266113, 'redshifts/nmad_bin_3': 0.07000727951526642, 'redshifts/nmad_bin_4': 0.06386442482471466, 'redshifts/nmad_bin_5': 0.034831635653972626, 'redshifts/outlier_fraction': 0.32485756278038025, 'redshifts/outlier_fraction_bin_0': 0.4888799786567688, 'redshifts/outlier_fraction_bin_1': 0.35445669293403625, 'redshifts/outlier_fraction_bin_2': 0.2540833055973053, 'redshifts/outlier_fraction_bin_3': 0.19830843806266785, 'redshifts/outlier_fraction_bin_4': 0.18947045505046844, 'redshifts/outlier_fraction_bin_5': 0.09152024239301682, 'redshifts/outlier_fraction_cata': 0.0878736823797226, 'redshifts/outlier_fraction_cata_bin_0': 0.13091826438903809, 'redshifts/outlier_fraction_cata_bin_1': 0.0984719842672348, 'redshifts/outlier_fraction_cata_bin_2': 0.07819518446922302, 'redshifts/outlier_fraction_cata_bin_3': 0.05740507319569588, 'redshifts/outlier_fraction_cata_bin_4': 0.05999387800693512, 'redshifts/outlier_fraction_cata_bin_5': 0.01675579324364662}\n", + "total num of pts: tensor([96762.])\n", + "total num of pts: tensor([34914., 23573., 9802., 5560., 3267., 19646.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1545/1563 [2:26:07<02:01, 6.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07501763105392456, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09007702767848969, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.046636614948511124, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023491352796554565, 'redshifts/bias': 0.004396793898195028, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00027111172676086426, 'redshifts/mse': 0.3104681968688965, 'redshifts/mse_bin_0': 0.4360463619232178, 'redshifts/mse_bin_1': 0.3603953421115875, 'redshifts/mse_bin_2': 0.29375964403152466, 'redshifts/mse_bin_3': 0.21954184770584106, 'redshifts/mse_bin_4': 0.2352755218744278, 'redshifts/mse_bin_5': 0.07396101951599121, 'redshifts/nmad': 0.11095300316810608, 'redshifts/nmad_bin_0': 0.21147014200687408, 'redshifts/nmad_bin_1': 0.1333734095096588, 'redshifts/nmad_bin_2': 0.0860769972205162, 'redshifts/nmad_bin_3': 0.06982991099357605, 'redshifts/nmad_bin_4': 0.06386442482471466, 'redshifts/nmad_bin_5': 0.034831635653972626, 'redshifts/outlier_fraction': 0.3248692750930786, 'redshifts/outlier_fraction_bin_0': 0.4889156222343445, 'redshifts/outlier_fraction_bin_1': 0.3543885052204132, 'redshifts/outlier_fraction_bin_2': 0.25413182377815247, 'redshifts/outlier_fraction_bin_3': 0.19820143282413483, 'redshifts/outlier_fraction_bin_4': 0.18947045505046844, 'redshifts/outlier_fraction_bin_5': 0.09157080203294754, 'redshifts/outlier_fraction_cata': 0.08785473555326462, 'redshifts/outlier_fraction_cata_bin_0': 0.1308930516242981, 'redshifts/outlier_fraction_cata_bin_1': 0.09846010059118271, 'redshifts/outlier_fraction_cata_bin_2': 0.07814731448888779, 'redshifts/outlier_fraction_cata_bin_3': 0.057374101132154465, 'redshifts/outlier_fraction_cata_bin_4': 0.05999387800693512, 'redshifts/outlier_fraction_cata_bin_5': 0.016746411100029945}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1546/1563 [2:26:15<02:04, 7.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([96834.])\n", + "total num of pts: tensor([34941., 23591., 9809., 5562., 3269., 19662.])\n", + "{'redshifts/bias_abs': 0.0750061646103859, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09009456634521484, 'redshifts/bias_abs_bin_2': 0.058430854231119156, 'redshifts/bias_abs_bin_3': 0.04663298279047012, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023489737883210182, 'redshifts/bias': 0.004410486668348312, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.005483061540871859, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.00027564167976379395, 'redshifts/mse': 0.3104921579360962, 'redshifts/mse_bin_0': 0.4359878897666931, 'redshifts/mse_bin_1': 0.36069366335868835, 'redshifts/mse_bin_2': 0.29368674755096436, 'redshifts/mse_bin_3': 0.2194644957780838, 'redshifts/mse_bin_4': 0.23513367772102356, 'redshifts/mse_bin_5': 0.07390420138835907, 'redshifts/nmad': 0.11094025522470474, 'redshifts/nmad_bin_0': 0.21152760088443756, 'redshifts/nmad_bin_1': 0.1333734095096588, 'redshifts/nmad_bin_2': 0.08609006553888321, 'redshifts/nmad_bin_3': 0.0698014572262764, 'redshifts/nmad_bin_4': 0.06386442482471466, 'redshifts/nmad_bin_5': 0.0348249226808548, 'redshifts/outlier_fraction': 0.3248962163925171, 'redshifts/outlier_fraction_bin_0': 0.4889671206474304, 'redshifts/outlier_fraction_bin_1': 0.35445719957351685, 'redshifts/outlier_fraction_bin_2': 0.25425630807876587, 'redshifts/outlier_fraction_bin_3': 0.19813017547130585, 'redshifts/outlier_fraction_bin_4': 0.1893545389175415, 'redshifts/outlier_fraction_bin_5': 0.0914962887763977, 'redshifts/outlier_fraction_cata': 0.08786170184612274, 'redshifts/outlier_fraction_cata_bin_0': 0.1309063881635666, 'redshifts/outlier_fraction_cata_bin_1': 0.09851214289665222, 'redshifts/outlier_fraction_cata_bin_2': 0.07809154689311981, 'redshifts/outlier_fraction_cata_bin_3': 0.05735347047448158, 'redshifts/outlier_fraction_cata_bin_4': 0.059957172721624374, 'redshifts/outlier_fraction_cata_bin_5': 0.01673278398811817}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1547/1563 [2:26:20<01:46, 6.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([96898.])\n", + "total num of pts: tensor([34959., 23603., 9814., 5567., 3276., 19679.])\n", + "{'redshifts/bias_abs': 0.07501763105392456, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09017252922058105, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.046636614948511124, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.02349121868610382, 'redshifts/bias': 0.004402677062898874, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.3103775978088379, 'redshifts/mse_bin_0': 0.43589431047439575, 'redshifts/mse_bin_1': 0.36061814427375793, 'redshifts/mse_bin_2': 0.2935631573200226, 'redshifts/mse_bin_3': 0.21930643916130066, 'redshifts/mse_bin_4': 0.23477603495121002, 'redshifts/mse_bin_5': 0.07387615740299225, 'redshifts/nmad': 0.11094573140144348, 'redshifts/nmad_bin_0': 0.21150043606758118, 'redshifts/nmad_bin_1': 0.13344848155975342, 'redshifts/nmad_bin_2': 0.0860769972205162, 'redshifts/nmad_bin_3': 0.0698358416557312, 'redshifts/nmad_bin_4': 0.06391051411628723, 'redshifts/nmad_bin_5': 0.03483397886157036, 'redshifts/outlier_fraction': 0.3249189853668213, 'redshifts/outlier_fraction_bin_0': 0.4889727830886841, 'redshifts/outlier_fraction_bin_1': 0.3545311987400055, 'redshifts/outlier_fraction_bin_2': 0.2543305456638336, 'redshifts/outlier_fraction_bin_3': 0.19813184440135956, 'redshifts/outlier_fraction_bin_4': 0.1895604431629181, 'redshifts/outlier_fraction_bin_5': 0.0915696918964386, 'redshifts/outlier_fraction_cata': 0.08781398832798004, 'redshifts/outlier_fraction_cata_bin_0': 0.1308675855398178, 'redshifts/outlier_fraction_cata_bin_1': 0.0984620600938797, 'redshifts/outlier_fraction_cata_bin_2': 0.07805176079273224, 'redshifts/outlier_fraction_cata_bin_3': 0.05730195716023445, 'redshifts/outlier_fraction_cata_bin_4': 0.05982905998826027, 'redshifts/outlier_fraction_cata_bin_5': 0.01671832986176014}\n", + "total num of pts: tensor([96949.])\n", + "total num of pts: tensor([34977., 23616., 9815., 5568., 3276., 19697.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1548/1563 [2:26:29<01:46, 7.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07500356435775757, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09013565629720688, 'redshifts/bias_abs_bin_2': 0.058430854231119156, 'redshifts/bias_abs_bin_3': 0.04663298279047012, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023499278351664543, 'redshifts/bias': 0.0044107139110565186, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00031059980392456055, 'redshifts/mse': 0.3103468120098114, 'redshifts/mse_bin_0': 0.4357866942882538, 'redshifts/mse_bin_1': 0.36078596115112305, 'redshifts/mse_bin_2': 0.2935340106487274, 'redshifts/mse_bin_3': 0.2192670702934265, 'redshifts/mse_bin_4': 0.23477603495121002, 'redshifts/mse_bin_5': 0.07381414622068405, 'redshifts/nmad': 0.1109350323677063, 'redshifts/nmad_bin_0': 0.2114611566066742, 'redshifts/nmad_bin_1': 0.13338705897331238, 'redshifts/nmad_bin_2': 0.08610232919454575, 'redshifts/nmad_bin_3': 0.0698358416557312, 'redshifts/nmad_bin_4': 0.06391051411628723, 'redshifts/nmad_bin_5': 0.03487057611346245, 'redshifts/outlier_fraction': 0.3248821496963501, 'redshifts/outlier_fraction_bin_0': 0.48894989490509033, 'redshifts/outlier_fraction_bin_1': 0.35450541973114014, 'redshifts/outlier_fraction_bin_2': 0.2543046474456787, 'redshifts/outlier_fraction_bin_3': 0.19809626042842865, 'redshifts/outlier_fraction_bin_4': 0.1895604431629181, 'redshifts/outlier_fraction_bin_5': 0.09153678268194199, 'redshifts/outlier_fraction_cata': 0.08779873698949814, 'redshifts/outlier_fraction_cata_bin_0': 0.1308288276195526, 'redshifts/outlier_fraction_cata_bin_1': 0.09849254786968231, 'redshifts/outlier_fraction_cata_bin_2': 0.07804381102323532, 'redshifts/outlier_fraction_cata_bin_3': 0.0572916679084301, 'redshifts/outlier_fraction_cata_bin_4': 0.05982905998826027, 'redshifts/outlier_fraction_cata_bin_5': 0.016703050583600998}\n", + "total num of pts: tensor([97000.])\n", + "total num of pts: tensor([35000., 23630., 9819., 5569., 3279., 19703.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1549/1563 [2:26:37<01:43, 7.39s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07502677291631699, 'redshifts/bias_abs_bin_0': 0.14479908347129822, 'redshifts/bias_abs_bin_1': 0.09017252922058105, 'redshifts/bias_abs_bin_2': 0.05848220735788345, 'redshifts/bias_abs_bin_3': 0.04663298279047012, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023499278351664543, 'redshifts/bias': 0.004411892034113407, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.010512066073715687, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005342820193618536, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00030684733064845204, 'redshifts/mse': 0.31032848358154297, 'redshifts/mse_bin_0': 0.4357517957687378, 'redshifts/mse_bin_1': 0.3607759475708008, 'redshifts/mse_bin_2': 0.2934400141239166, 'redshifts/mse_bin_3': 0.2192286103963852, 'redshifts/mse_bin_4': 0.23460166156291962, 'redshifts/mse_bin_5': 0.073793925344944, 'redshifts/nmad': 0.11094771325588226, 'redshifts/nmad_bin_0': 0.2114611566066742, 'redshifts/nmad_bin_1': 0.1333734095096588, 'redshifts/nmad_bin_2': 0.08610567450523376, 'redshifts/nmad_bin_3': 0.06985125690698624, 'redshifts/nmad_bin_4': 0.06404630094766617, 'redshifts/nmad_bin_5': 0.034865010529756546, 'redshifts/outlier_fraction': 0.3248762786388397, 'redshifts/outlier_fraction_bin_0': 0.48897144198417664, 'redshifts/outlier_fraction_bin_1': 0.35442233085632324, 'redshifts/outlier_fraction_bin_2': 0.25430288910865784, 'redshifts/outlier_fraction_bin_3': 0.19806069135665894, 'redshifts/outlier_fraction_bin_4': 0.1893870085477829, 'redshifts/outlier_fraction_bin_5': 0.0915089100599289, 'redshifts/outlier_fraction_cata': 0.08779381215572357, 'redshifts/outlier_fraction_cata_bin_0': 0.13082857429981232, 'redshifts/outlier_fraction_cata_bin_1': 0.09847651422023773, 'redshifts/outlier_fraction_cata_bin_2': 0.07801201939582825, 'redshifts/outlier_fraction_cata_bin_3': 0.05728137865662575, 'redshifts/outlier_fraction_cata_bin_4': 0.05977432057261467, 'redshifts/outlier_fraction_cata_bin_5': 0.016697965562343597}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1550/1563 [2:26:44<01:34, 7.30s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([97060.])\n", + "total num of pts: tensor([35016., 23645., 9826., 5570., 3280., 19723.])\n", + "{'redshifts/bias_abs': 0.0750374048948288, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09027275443077087, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.046604692935943604, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.02351030521094799, 'redshifts/bias': 0.004402024205774069, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.00029412220465019345, 'redshifts/mse': 0.3103259205818176, 'redshifts/mse_bin_0': 0.4357302486896515, 'redshifts/mse_bin_1': 0.3610260784626007, 'redshifts/mse_bin_2': 0.29327356815338135, 'redshifts/mse_bin_3': 0.21918967366218567, 'redshifts/mse_bin_4': 0.23453035950660706, 'redshifts/mse_bin_5': 0.0737396627664566, 'redshifts/nmad': 0.11094773560762405, 'redshifts/nmad_bin_0': 0.211554154753685, 'redshifts/nmad_bin_1': 0.13347460329532623, 'redshifts/nmad_bin_2': 0.08607957512140274, 'redshifts/nmad_bin_3': 0.06980882585048676, 'redshifts/nmad_bin_4': 0.06391625851392746, 'redshifts/nmad_bin_5': 0.03487928584218025, 'redshifts/outlier_fraction': 0.32490211725234985, 'redshifts/outlier_fraction_bin_0': 0.48900502920150757, 'redshifts/outlier_fraction_bin_1': 0.3545781373977661, 'redshifts/outlier_fraction_bin_2': 0.254223495721817, 'redshifts/outlier_fraction_bin_3': 0.19802513718605042, 'redshifts/outlier_fraction_bin_4': 0.18932926654815674, 'redshifts/outlier_fraction_bin_5': 0.09156821668148041, 'redshifts/outlier_fraction_cata': 0.08780135959386826, 'redshifts/outlier_fraction_cata_bin_0': 0.13082590699195862, 'redshifts/outlier_fraction_cata_bin_1': 0.09858320653438568, 'redshifts/outlier_fraction_cata_bin_2': 0.07795644551515579, 'redshifts/outlier_fraction_cata_bin_3': 0.05727109685540199, 'redshifts/outlier_fraction_cata_bin_4': 0.059756096452474594, 'redshifts/outlier_fraction_cata_bin_5': 0.01668103225529194}\n", + "total num of pts: tensor([97107.])\n", + "total num of pts: tensor([35035., 23652., 9831., 5571., 3281., 19737.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1551/1563 [2:26:52<01:32, 7.72s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07504672557115555, 'redshifts/bias_abs_bin_0': 0.14482153952121735, 'redshifts/bias_abs_bin_1': 0.09019078314304352, 'redshifts/bias_abs_bin_2': 0.058430854231119156, 'redshifts/bias_abs_bin_3': 0.04663298279047012, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.004402605351060629, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.002331305295228958, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.0002857233921531588, 'redshifts/mse': 0.31038394570350647, 'redshifts/mse_bin_0': 0.4357462227344513, 'redshifts/mse_bin_1': 0.3609284460544586, 'redshifts/mse_bin_2': 0.29372039437294006, 'redshifts/mse_bin_3': 0.22005468606948853, 'redshifts/mse_bin_4': 0.23445963859558105, 'redshifts/mse_bin_5': 0.07370060682296753, 'redshifts/nmad': 0.11095128208398819, 'redshifts/nmad_bin_0': 0.21155202388763428, 'redshifts/nmad_bin_1': 0.13344216346740723, 'redshifts/nmad_bin_2': 0.0861053615808487, 'redshifts/nmad_bin_3': 0.0698358416557312, 'redshifts/nmad_bin_4': 0.06391625851392746, 'redshifts/nmad_bin_5': 0.03489791601896286, 'redshifts/outlier_fraction': 0.32490962743759155, 'redshifts/outlier_fraction_bin_0': 0.4890252649784088, 'redshifts/outlier_fraction_bin_1': 0.3545154631137848, 'redshifts/outlier_fraction_bin_2': 0.2543993592262268, 'redshifts/outlier_fraction_bin_3': 0.19816909730434418, 'redshifts/outlier_fraction_bin_4': 0.18927156925201416, 'redshifts/outlier_fraction_bin_5': 0.0915539339184761, 'redshifts/outlier_fraction_cata': 0.0878000557422638, 'redshifts/outlier_fraction_cata_bin_0': 0.13081204891204834, 'redshifts/outlier_fraction_cata_bin_1': 0.09855403006076813, 'redshifts/outlier_fraction_cata_bin_2': 0.07801851630210876, 'redshifts/outlier_fraction_cata_bin_3': 0.05744031444191933, 'redshifts/outlier_fraction_cata_bin_4': 0.059737883508205414, 'redshifts/outlier_fraction_cata_bin_5': 0.016669200733304024}\n", + "total num of pts: tensor([97166.])\n", + "total num of pts: tensor([35058., 23669., 9837., 5573., 3282., 19747.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1552/1563 [2:27:01<01:26, 7.83s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07504672557115555, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09019730240106583, 'redshifts/bias_abs_bin_2': 0.058430854231119156, 'redshifts/bias_abs_bin_3': 0.046636614948511124, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.004400321748107672, 'redshifts/bias_bin_0': 0.02818337082862854, 'redshifts/bias_bin_1': 0.010468430817127228, 'redshifts/bias_bin_2': -0.0023209862411022186, 'redshifts/bias_bin_3': -0.005353210959583521, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.0002857233921531588, 'redshifts/mse': 0.31038835644721985, 'redshifts/mse_bin_0': 0.4357641935348511, 'redshifts/mse_bin_1': 0.36076316237449646, 'redshifts/mse_bin_2': 0.29357069730758667, 'redshifts/mse_bin_3': 0.2199961096048355, 'redshifts/mse_bin_4': 0.23438873887062073, 'redshifts/mse_bin_5': 0.07393967360258102, 'redshifts/nmad': 0.11095533519983292, 'redshifts/nmad_bin_0': 0.21151427924633026, 'redshifts/nmad_bin_1': 0.13344933092594147, 'redshifts/nmad_bin_2': 0.08609006553888321, 'redshifts/nmad_bin_3': 0.0698358416557312, 'redshifts/nmad_bin_4': 0.06391051411628723, 'redshifts/nmad_bin_5': 0.03489791601896286, 'redshifts/outlier_fraction': 0.32484614849090576, 'redshifts/outlier_fraction_bin_0': 0.48890408873558044, 'redshifts/outlier_fraction_bin_1': 0.35442984104156494, 'redshifts/outlier_fraction_bin_2': 0.2543458342552185, 'redshifts/outlier_fraction_bin_3': 0.19809797406196594, 'redshifts/outlier_fraction_bin_4': 0.18921388685703278, 'redshifts/outlier_fraction_bin_5': 0.09155821055173874, 'redshifts/outlier_fraction_cata': 0.08778791129589081, 'redshifts/outlier_fraction_cata_bin_0': 0.13081179559230804, 'redshifts/outlier_fraction_cata_bin_1': 0.09848324954509735, 'redshifts/outlier_fraction_cata_bin_2': 0.07797092944383621, 'redshifts/outlier_fraction_cata_bin_3': 0.05741970241069794, 'redshifts/outlier_fraction_cata_bin_4': 0.05971968173980713, 'redshifts/outlier_fraction_cata_bin_5': 0.01671139895915985}\n", + "total num of pts: tensor([97236.])\n", + "total num of pts: tensor([35077., 23683., 9843., 5582., 3286., 19765.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1553/1563 [2:27:06<01:11, 7.16s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07502631098031998, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.04663298279047012, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.004402024205774069, 'redshifts/bias_bin_0': 0.028207454830408096, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005342752207070589, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.3103588819503784, 'redshifts/mse_bin_0': 0.4356865882873535, 'redshifts/mse_bin_1': 0.36084216833114624, 'redshifts/mse_bin_2': 0.2936667501926422, 'redshifts/mse_bin_3': 0.2196529060602188, 'redshifts/mse_bin_4': 0.23504836857318878, 'redshifts/mse_bin_5': 0.07389803975820541, 'redshifts/nmad': 0.11094556003808975, 'redshifts/nmad_bin_0': 0.21146850287914276, 'redshifts/nmad_bin_1': 0.13347460329532623, 'redshifts/nmad_bin_2': 0.08607957512140274, 'redshifts/nmad_bin_3': 0.069851353764534, 'redshifts/nmad_bin_4': 0.06391051411628723, 'redshifts/nmad_bin_5': 0.034906819462776184, 'redshifts/outlier_fraction': 0.324817955493927, 'redshifts/outlier_fraction_bin_0': 0.48889586329460144, 'redshifts/outlier_fraction_bin_1': 0.3545581102371216, 'redshifts/outlier_fraction_bin_2': 0.25429239869117737, 'redshifts/outlier_fraction_bin_3': 0.19777856767177582, 'redshifts/outlier_fraction_bin_4': 0.18928788602352142, 'redshifts/outlier_fraction_bin_5': 0.09152542054653168, 'redshifts/outlier_fraction_cata': 0.08778641372919083, 'redshifts/outlier_fraction_cata_bin_0': 0.13079795241355896, 'redshifts/outlier_fraction_cata_bin_1': 0.09850948303937912, 'redshifts/outlier_fraction_cata_bin_2': 0.07802499085664749, 'redshifts/outlier_fraction_cata_bin_3': 0.05732712149620056, 'redshifts/outlier_fraction_cata_bin_4': 0.059951309114694595, 'redshifts/outlier_fraction_cata_bin_5': 0.016696179285645485}\n", + "total num of pts: tensor([97296.])\n", + "total num of pts: tensor([35101., 23694., 9850., 5588., 3287., 19776.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1554/1563 [2:27:11<00:57, 6.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07503461092710495, 'redshifts/bias_abs_bin_0': 0.1447983980178833, 'redshifts/bias_abs_bin_1': 0.09019730240106583, 'redshifts/bias_abs_bin_2': 0.058400221168994904, 'redshifts/bias_abs_bin_3': 0.046636614948511124, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.0044107139110565186, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.010485476814210415, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.0002994239330291748, 'redshifts/mse': 0.31031814217567444, 'redshifts/mse_bin_0': 0.43561914563179016, 'redshifts/mse_bin_1': 0.3607735335826874, 'redshifts/mse_bin_2': 0.29385554790496826, 'redshifts/mse_bin_3': 0.21944263577461243, 'redshifts/mse_bin_4': 0.2349940836429596, 'redshifts/mse_bin_5': 0.07386278361082077, 'redshifts/nmad': 0.11095482110977173, 'redshifts/nmad_bin_0': 0.21150945127010345, 'redshifts/nmad_bin_1': 0.13345849514007568, 'redshifts/nmad_bin_2': 0.0860452651977539, 'redshifts/nmad_bin_3': 0.0698811411857605, 'redshifts/nmad_bin_4': 0.06391625851392746, 'redshifts/nmad_bin_5': 0.0349043570458889, 'redshifts/outlier_fraction': 0.32481294870376587, 'redshifts/outlier_fraction_bin_0': 0.4889034628868103, 'redshifts/outlier_fraction_bin_1': 0.35452014207839966, 'redshifts/outlier_fraction_bin_2': 0.25431472063064575, 'redshifts/outlier_fraction_bin_3': 0.1977451741695404, 'redshifts/outlier_fraction_bin_4': 0.189534530043602, 'redshifts/outlier_fraction_bin_5': 0.0914745181798935, 'redshifts/outlier_fraction_cata': 0.0877733901143074, 'redshifts/outlier_fraction_cata_bin_0': 0.13076551258563995, 'redshifts/outlier_fraction_cata_bin_1': 0.09850595146417618, 'redshifts/outlier_fraction_cata_bin_2': 0.07807106524705887, 'redshifts/outlier_fraction_cata_bin_3': 0.057265568524599075, 'redshifts/outlier_fraction_cata_bin_4': 0.059933070093393326, 'redshifts/outlier_fraction_cata_bin_5': 0.01668689399957657}\n", + "total num of pts: tensor([97366.])\n", + "total num of pts: tensor([35130., 23714., 9858., 5591., 3288., 19785.])\n", + "{'redshifts/bias_abs': 0.07505328208208084, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09018898755311966, 'redshifts/bias_abs_bin_2': 0.05848220735788345, 'redshifts/bias_abs_bin_3': 0.046647511422634125, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.0235089473426342, 'redshifts/bias': 0.004426748026162386, 'redshifts/bias_bin_0': 0.0282303374260664, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.005302046425640583, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.00031059980392456055, 'redshifts/mse': 0.31038767099380493, 'redshifts/mse_bin_0': 0.4358224868774414, 'redshifts/mse_bin_1': 0.36063888669013977, 'redshifts/mse_bin_2': 0.29398393630981445, 'redshifts/mse_bin_3': 0.2195126861333847, 'redshifts/mse_bin_4': 0.2349235713481903, 'redshifts/mse_bin_5': 0.07383009046316147, 'redshifts/nmad': 0.1109599843621254, 'redshifts/nmad_bin_0': 0.21148502826690674, 'redshifts/nmad_bin_1': 0.1333920955657959, 'redshifts/nmad_bin_2': 0.08614205569028854, 'redshifts/nmad_bin_3': 0.06991170346736908, 'redshifts/nmad_bin_4': 0.06391122192144394, 'redshifts/nmad_bin_5': 0.03488492593169212, 'redshifts/outlier_fraction': 0.32481563091278076, 'redshifts/outlier_fraction_bin_0': 0.488898366689682, 'redshifts/outlier_fraction_bin_1': 0.35447415709495544, 'redshifts/outlier_fraction_bin_2': 0.2543112337589264, 'redshifts/outlier_fraction_bin_3': 0.19781792163848877, 'redshifts/outlier_fraction_bin_4': 0.1894768923521042, 'redshifts/outlier_fraction_bin_5': 0.09143290668725967, 'redshifts/outlier_fraction_cata': 0.08779245615005493, 'redshifts/outlier_fraction_cata_bin_0': 0.1308283507823944, 'redshifts/outlier_fraction_cata_bin_1': 0.09846504032611847, 'redshifts/outlier_fraction_cata_bin_2': 0.07810915261507034, 'redshifts/outlier_fraction_cata_bin_3': 0.05723484233021736, 'redshifts/outlier_fraction_cata_bin_4': 0.05991484224796295, 'redshifts/outlier_fraction_cata_bin_5': 0.016679301857948303}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 99%|█████████▉| 1555/1563 [2:27:16<00:48, 6.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([97438.])\n", + "total num of pts: tensor([35151., 23739., 9868., 5594., 3290., 19796.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 1556/1563 [2:27:22<00:41, 5.88s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07506256550550461, 'redshifts/bias_abs_bin_0': 0.14480964839458466, 'redshifts/bias_abs_bin_1': 0.09027275443077087, 'redshifts/bias_abs_bin_2': 0.05848308652639389, 'redshifts/bias_abs_bin_3': 0.04663298279047012, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023511921986937523, 'redshifts/bias': 0.004424875136464834, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.0023335639853030443, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.00030684733064845204, 'redshifts/mse': 0.3106330931186676, 'redshifts/mse_bin_0': 0.4357658922672272, 'redshifts/mse_bin_1': 0.3616062104701996, 'redshifts/mse_bin_2': 0.29437994956970215, 'redshifts/mse_bin_3': 0.2193956971168518, 'redshifts/mse_bin_4': 0.23485027253627777, 'redshifts/mse_bin_5': 0.07379145175218582, 'redshifts/nmad': 0.11097218096256256, 'redshifts/nmad_bin_0': 0.211543008685112, 'redshifts/nmad_bin_1': 0.1334977000951767, 'redshifts/nmad_bin_2': 0.08611918240785599, 'redshifts/nmad_bin_3': 0.0698811411857605, 'redshifts/nmad_bin_4': 0.06391122192144394, 'redshifts/nmad_bin_5': 0.03489815071225166, 'redshifts/outlier_fraction': 0.32488352060317993, 'redshifts/outlier_fraction_bin_0': 0.48894768953323364, 'redshifts/outlier_fraction_bin_1': 0.3546905815601349, 'redshifts/outlier_fraction_bin_2': 0.2543575167655945, 'redshifts/outlier_fraction_bin_3': 0.19771184027194977, 'redshifts/outlier_fraction_bin_4': 0.18966566026210785, 'redshifts/outlier_fraction_bin_5': 0.09138209372758865, 'redshifts/outlier_fraction_cata': 0.08785073459148407, 'redshifts/outlier_fraction_cata_bin_0': 0.13077864050865173, 'redshifts/outlier_fraction_cata_bin_1': 0.09874046593904495, 'redshifts/outlier_fraction_cata_bin_2': 0.07823266834020615, 'redshifts/outlier_fraction_cata_bin_3': 0.057204145938158035, 'redshifts/outlier_fraction_cata_bin_4': 0.05987842008471489, 'redshifts/outlier_fraction_cata_bin_5': 0.01667003519833088}\n", + "total num of pts: tensor([97491.])\n", + "total num of pts: tensor([35170., 23750., 9872., 5598., 3293., 19808.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 1557/1563 [2:27:27<00:34, 5.80s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07508161664009094, 'redshifts/bias_abs_bin_0': 0.1447959989309311, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05848308652639389, 'redshifts/bias_abs_bin_3': 0.04663298279047012, 'redshifts/bias_abs_bin_4': 0.0433729887008667, 'redshifts/bias_abs_bin_5': 0.023530777543783188, 'redshifts/bias': 0.004416614770889282, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.0023352974094450474, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.00031059980392456055, 'redshifts/mse': 0.3106069564819336, 'redshifts/mse_bin_0': 0.4356738328933716, 'redshifts/mse_bin_1': 0.3617691993713379, 'redshifts/mse_bin_2': 0.29427966475486755, 'redshifts/mse_bin_3': 0.21929803490638733, 'redshifts/mse_bin_4': 0.2347176969051361, 'redshifts/mse_bin_5': 0.07375872135162354, 'redshifts/nmad': 0.11097399890422821, 'redshifts/nmad_bin_0': 0.2114589810371399, 'redshifts/nmad_bin_1': 0.1334998458623886, 'redshifts/nmad_bin_2': 0.08611660450696945, 'redshifts/nmad_bin_3': 0.06986290961503983, 'redshifts/nmad_bin_4': 0.06391555070877075, 'redshifts/nmad_bin_5': 0.03491274267435074, 'redshifts/outlier_fraction': 0.32488128542900085, 'redshifts/outlier_fraction_bin_0': 0.48888257145881653, 'redshifts/outlier_fraction_bin_1': 0.3547368347644806, 'redshifts/outlier_fraction_bin_2': 0.2543557584285736, 'redshifts/outlier_fraction_bin_3': 0.19774919748306274, 'redshifts/outlier_fraction_bin_4': 0.1897965371608734, 'redshifts/outlier_fraction_bin_5': 0.09142770618200302, 'redshifts/outlier_fraction_cata': 0.08783374726772308, 'redshifts/outlier_fraction_cata_bin_0': 0.13076485693454742, 'redshifts/outlier_fraction_cata_bin_1': 0.09873684495687485, 'redshifts/outlier_fraction_cata_bin_2': 0.07820097357034683, 'redshifts/outlier_fraction_cata_bin_3': 0.05716327205300331, 'redshifts/outlier_fraction_cata_bin_4': 0.05982387065887451, 'redshifts/outlier_fraction_cata_bin_5': 0.01665993593633175}\n", + "total num of pts: tensor([97537.])\n", + "total num of pts: tensor([35190., 23761., 9876., 5600., 3293., 19817.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 1558/1563 [2:27:32<00:27, 5.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07505907863378525, 'redshifts/bias_abs_bin_0': 0.14477525651454926, 'redshifts/bias_abs_bin_1': 0.09031268954277039, 'redshifts/bias_abs_bin_2': 0.058430854231119156, 'redshifts/bias_abs_bin_3': 0.046604692935943604, 'redshifts/bias_abs_bin_4': 0.0433729887008667, 'redshifts/bias_abs_bin_5': 0.023530777543783188, 'redshifts/bias': 0.004402605351060629, 'redshifts/bias_bin_0': 0.028133561834692955, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.0023858225904405117, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.0003109685785602778, 'redshifts/mse': 0.3105718195438385, 'redshifts/mse_bin_0': 0.435706228017807, 'redshifts/mse_bin_1': 0.36164188385009766, 'redshifts/mse_bin_2': 0.29416319727897644, 'redshifts/mse_bin_3': 0.2192201465368271, 'redshifts/mse_bin_4': 0.2347176969051361, 'redshifts/mse_bin_5': 0.0737263485789299, 'redshifts/nmad': 0.11097021400928497, 'redshifts/nmad_bin_0': 0.21144817769527435, 'redshifts/nmad_bin_1': 0.13351666927337646, 'redshifts/nmad_bin_2': 0.08610506355762482, 'redshifts/nmad_bin_3': 0.06986290961503983, 'redshifts/nmad_bin_4': 0.06391555070877075, 'redshifts/nmad_bin_5': 0.03490426018834114, 'redshifts/outlier_fraction': 0.32484084367752075, 'redshifts/outlier_fraction_bin_0': 0.4888320565223694, 'redshifts/outlier_fraction_bin_1': 0.35469886660575867, 'redshifts/outlier_fraction_bin_2': 0.25425273180007935, 'redshifts/outlier_fraction_bin_3': 0.1976785659790039, 'redshifts/outlier_fraction_bin_4': 0.1897965371608734, 'redshifts/outlier_fraction_bin_5': 0.09138618409633636, 'redshifts/outlier_fraction_cata': 0.08781283348798752, 'redshifts/outlier_fraction_cata_bin_0': 0.13074737787246704, 'redshifts/outlier_fraction_cata_bin_1': 0.09869113564491272, 'redshifts/outlier_fraction_cata_bin_2': 0.07816930115222931, 'redshifts/outlier_fraction_cata_bin_3': 0.05714285746216774, 'redshifts/outlier_fraction_cata_bin_4': 0.05982387065887451, 'redshifts/outlier_fraction_cata_bin_5': 0.016652369871735573}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 1559/1563 [2:27:38<00:23, 5.77s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([97600.])\n", + "total num of pts: tensor([35215., 23772., 9882., 5606., 3295., 19830.])\n", + "{'redshifts/bias_abs': 0.07505329698324203, 'redshifts/bias_abs_bin_0': 0.14477525651454926, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.058430854231119156, 'redshifts/bias_abs_bin_3': 0.046604692935943604, 'redshifts/bias_abs_bin_4': 0.04344337806105614, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.004410486668348312, 'redshifts/bias_bin_0': 0.02821027673780918, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.002437939401715994, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006757981609553099, 'redshifts/bias_bin_5': 0.0003142058849334717, 'redshifts/mse': 0.31063973903656006, 'redshifts/mse_bin_0': 0.4356181025505066, 'redshifts/mse_bin_1': 0.3616715967655182, 'redshifts/mse_bin_2': 0.29406672716140747, 'redshifts/mse_bin_3': 0.22080206871032715, 'redshifts/mse_bin_4': 0.23535417020320892, 'redshifts/mse_bin_5': 0.07368574291467667, 'redshifts/nmad': 0.11096026748418808, 'redshifts/nmad_bin_0': 0.21143552660942078, 'redshifts/nmad_bin_1': 0.13349992036819458, 'redshifts/nmad_bin_2': 0.0861225351691246, 'redshifts/nmad_bin_3': 0.06986290961503983, 'redshifts/nmad_bin_4': 0.06407111883163452, 'redshifts/nmad_bin_5': 0.034890271723270416, 'redshifts/outlier_fraction': 0.3248462975025177, 'redshifts/outlier_fraction_bin_0': 0.48882579803466797, 'redshifts/outlier_fraction_bin_1': 0.35470300912857056, 'redshifts/outlier_fraction_bin_2': 0.2543007433414459, 'redshifts/outlier_fraction_bin_3': 0.19782376289367676, 'redshifts/outlier_fraction_bin_4': 0.18998482823371887, 'redshifts/outlier_fraction_bin_5': 0.0913262739777565, 'redshifts/outlier_fraction_cata': 0.08781762421131134, 'redshifts/outlier_fraction_cata_bin_0': 0.13071134686470032, 'redshifts/outlier_fraction_cata_bin_1': 0.09872959554195404, 'redshifts/outlier_fraction_cata_bin_2': 0.0781218409538269, 'redshifts/outlier_fraction_cata_bin_3': 0.05726007744669914, 'redshifts/outlier_fraction_cata_bin_4': 0.0600910484790802, 'redshifts/outlier_fraction_cata_bin_5': 0.01664145290851593}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 1560/1563 [2:27:46<00:18, 6.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total num of pts: tensor([97672.])\n", + "total num of pts: tensor([35242., 23792., 9888., 5608., 3297., 19845.])\n", + "{'redshifts/bias_abs': 0.07505329698324203, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05848220735788345, 'redshifts/bias_abs_bin_3': 0.046604692935943604, 'redshifts/bias_abs_bin_4': 0.0433729887008667, 'redshifts/bias_abs_bin_5': 0.023530777543783188, 'redshifts/bias': 0.004412703216075897, 'redshifts/bias_bin_0': 0.028213879093527794, 'redshifts/bias_bin_1': 0.010524670593440533, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006757505238056183, 'redshifts/bias_bin_5': 0.0003244946710765362, 'redshifts/mse': 0.31057852506637573, 'redshifts/mse_bin_0': 0.4355730414390564, 'redshifts/mse_bin_1': 0.36151179671287537, 'redshifts/mse_bin_2': 0.29392752051353455, 'redshifts/mse_bin_3': 0.22073866426944733, 'redshifts/mse_bin_4': 0.23521168529987335, 'redshifts/mse_bin_5': 0.073746457695961, 'redshifts/nmad': 0.11097444593906403, 'redshifts/nmad_bin_0': 0.21143269538879395, 'redshifts/nmad_bin_1': 0.1334923505783081, 'redshifts/nmad_bin_2': 0.0862298384308815, 'redshifts/nmad_bin_3': 0.06986469030380249, 'redshifts/nmad_bin_4': 0.06391625851392746, 'redshifts/nmad_bin_5': 0.034899428486824036, 'redshifts/outlier_fraction': 0.3248218595981598, 'redshifts/outlier_fraction_bin_0': 0.4887917935848236, 'redshifts/outlier_fraction_bin_1': 0.354530930519104, 'redshifts/outlier_fraction_bin_2': 0.2543486952781677, 'redshifts/outlier_fraction_bin_3': 0.1977532058954239, 'redshifts/outlier_fraction_bin_4': 0.18986958265304565, 'redshifts/outlier_fraction_bin_5': 0.09145880490541458, 'redshifts/outlier_fraction_cata': 0.0878143161535263, 'redshifts/outlier_fraction_cata_bin_0': 0.13072469830513, 'redshifts/outlier_fraction_cata_bin_1': 0.09868863224983215, 'redshifts/outlier_fraction_cata_bin_2': 0.07807443290948868, 'redshifts/outlier_fraction_cata_bin_3': 0.05723965913057327, 'redshifts/outlier_fraction_cata_bin_4': 0.06005459651350975, 'redshifts/outlier_fraction_cata_bin_5': 0.01667926460504532}\n", + "total num of pts: tensor([97727.])\n", + "total num of pts: tensor([35268., 23805., 9890., 5610., 3301., 19853.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 1561/1563 [2:27:54<00:13, 6.71s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07507451623678207, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05848220735788345, 'redshifts/bias_abs_bin_3': 0.046604692935943604, 'redshifts/bias_abs_bin_4': 0.04336521774530411, 'redshifts/bias_abs_bin_5': 0.023524872958660126, 'redshifts/bias': 0.004430592060089111, 'redshifts/bias_bin_0': 0.028219949454069138, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.0024975943379104137, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.00033813153277151287, 'redshifts/mse': 0.31056317687034607, 'redshifts/mse_bin_0': 0.43550994992256165, 'redshifts/mse_bin_1': 0.3615454137325287, 'redshifts/mse_bin_2': 0.29389333724975586, 'redshifts/mse_bin_3': 0.22066271305084229, 'redshifts/mse_bin_4': 0.2349339723587036, 'redshifts/mse_bin_5': 0.0737515389919281, 'redshifts/nmad': 0.11098894476890564, 'redshifts/nmad_bin_0': 0.21144092082977295, 'redshifts/nmad_bin_1': 0.13352443277835846, 'redshifts/nmad_bin_2': 0.08621098101139069, 'redshifts/nmad_bin_3': 0.06986469030380249, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.03490319103002548, 'redshifts/outlier_fraction': 0.32485392689704895, 'redshifts/outlier_fraction_bin_0': 0.488800048828125, 'redshifts/outlier_fraction_bin_1': 0.3545893728733063, 'redshifts/outlier_fraction_bin_2': 0.254398375749588, 'redshifts/outlier_fraction_bin_3': 0.1976827085018158, 'redshifts/outlier_fraction_bin_4': 0.18963950872421265, 'redshifts/outlier_fraction_bin_5': 0.0914723202586174, 'redshifts/outlier_fraction_cata': 0.08780582994222641, 'redshifts/outlier_fraction_cata_bin_0': 0.13068504631519318, 'redshifts/outlier_fraction_cata_bin_1': 0.09871875494718552, 'redshifts/outlier_fraction_cata_bin_2': 0.0780586451292038, 'redshifts/outlier_fraction_cata_bin_3': 0.0572192519903183, 'redshifts/outlier_fraction_cata_bin_4': 0.0599818229675293, 'redshifts/outlier_fraction_cata_bin_5': 0.016672542318701744}\n", + "total num of pts: tensor([97786.])\n", + "total num of pts: tensor([35295., 23819., 9895., 5614., 3302., 19861.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████▉| 1562/1563 [2:28:00<00:06, 6.49s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.0750860646367073, 'redshifts/bias_abs_bin_0': 0.14479394257068634, 'redshifts/bias_abs_bin_1': 0.09029126912355423, 'redshifts/bias_abs_bin_2': 0.05855044350028038, 'redshifts/bias_abs_bin_3': 0.04663298279047012, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.0235309898853302, 'redshifts/bias': 0.004426748026162386, 'redshifts/bias_bin_0': 0.028216304257512093, 'redshifts/bias_bin_1': 0.010524718090891838, 'redshifts/bias_bin_2': -0.0024697533808648586, 'redshifts/bias_bin_3': -0.005334957502782345, 'redshifts/bias_bin_4': -0.006741241551935673, 'redshifts/bias_bin_5': 0.0003395750536583364, 'redshifts/mse': 0.3106849789619446, 'redshifts/mse_bin_0': 0.4355027973651886, 'redshifts/mse_bin_1': 0.36159747838974, 'redshifts/mse_bin_2': 0.29423144459724426, 'redshifts/mse_bin_3': 0.22170592844486237, 'redshifts/mse_bin_4': 0.23486414551734924, 'redshifts/mse_bin_5': 0.0737655833363533, 'redshifts/nmad': 0.11103760451078415, 'redshifts/nmad_bin_0': 0.2114354968070984, 'redshifts/nmad_bin_1': 0.13351666927337646, 'redshifts/nmad_bin_2': 0.08627891540527344, 'redshifts/nmad_bin_3': 0.06986290961503983, 'redshifts/nmad_bin_4': 0.06389491260051727, 'redshifts/nmad_bin_5': 0.03491238132119179, 'redshifts/outlier_fraction': 0.32490336894989014, 'redshifts/outlier_fraction_bin_0': 0.4887661039829254, 'redshifts/outlier_fraction_bin_1': 0.35459086298942566, 'redshifts/outlier_fraction_bin_2': 0.2545730173587799, 'redshifts/outlier_fraction_bin_3': 0.19807623326778412, 'redshifts/outlier_fraction_bin_4': 0.18958206474781036, 'redshifts/outlier_fraction_bin_5': 0.09148582816123962, 'redshifts/outlier_fraction_cata': 0.08784488588571548, 'redshifts/outlier_fraction_cata_bin_0': 0.13069839775562286, 'redshifts/outlier_fraction_cata_bin_1': 0.09878668189048767, 'redshifts/outlier_fraction_cata_bin_2': 0.07812026143074036, 'redshifts/outlier_fraction_cata_bin_3': 0.05735660716891289, 'redshifts/outlier_fraction_cata_bin_4': 0.059963658452034, 'redshifts/outlier_fraction_cata_bin_5': 0.016665827482938766}\n", + "total num of pts: tensor([97818.])\n", + "total num of pts: tensor([35306., 23824., 9902., 5615., 3303., 19868.])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1563/1563 [2:28:05<00:00, 6.31s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'redshifts/bias_abs': 0.07507451623678207, 'redshifts/bias_abs_bin_0': 0.14476175606250763, 'redshifts/bias_abs_bin_1': 0.09024340659379959, 'redshifts/bias_abs_bin_2': 0.05848308652639389, 'redshifts/bias_abs_bin_3': 0.046636614948511124, 'redshifts/bias_abs_bin_4': 0.043337900191545486, 'redshifts/bias_abs_bin_5': 0.023531800135970116, 'redshifts/bias': 0.004426748026162386, 'redshifts/bias_bin_0': 0.028216304257512093, 'redshifts/bias_bin_1': 0.010529957711696625, 'redshifts/bias_bin_2': -0.002510312246158719, 'redshifts/bias_bin_3': -0.005322661716490984, 'redshifts/bias_bin_4': -0.00672641908749938, 'redshifts/bias_bin_5': 0.0003387033939361572, 'redshifts/mse': 0.3106541633605957, 'redshifts/mse_bin_0': 0.4354010224342346, 'redshifts/mse_bin_1': 0.36164408922195435, 'redshifts/mse_bin_2': 0.2943028509616852, 'redshifts/mse_bin_3': 0.2216675728559494, 'redshifts/mse_bin_4': 0.2347930669784546, 'redshifts/mse_bin_5': 0.07374148815870285, 'redshifts/nmad': 0.11099459230899811, 'redshifts/nmad_bin_0': 0.21135950088500977, 'redshifts/nmad_bin_1': 0.13349208235740662, 'redshifts/nmad_bin_2': 0.08623221516609192, 'redshifts/nmad_bin_3': 0.0698811411857605, 'redshifts/nmad_bin_4': 0.0639168843626976, 'redshifts/nmad_bin_5': 0.03491339460015297, 'redshifts/outlier_fraction': 0.3248481750488281, 'redshifts/outlier_fraction_bin_0': 0.4886704683303833, 'redshifts/outlier_fraction_bin_1': 0.35455843806266785, 'redshifts/outlier_fraction_bin_2': 0.2545950412750244, 'redshifts/outlier_fraction_bin_3': 0.19804096221923828, 'redshifts/outlier_fraction_bin_4': 0.18952468037605286, 'redshifts/outlier_fraction_bin_5': 0.09145359694957733, 'redshifts/outlier_fraction_cata': 0.08783659338951111, 'redshifts/outlier_fraction_cata_bin_0': 0.13065767288208008, 'redshifts/outlier_fraction_cata_bin_1': 0.0988079234957695, 'redshifts/outlier_fraction_cata_bin_2': 0.07816603034734726, 'redshifts/outlier_fraction_cata_bin_3': 0.057346392422914505, 'redshifts/outlier_fraction_cata_bin_4': 0.05994550511240959, 'redshifts/outlier_fraction_cata_bin_5': 0.01665995642542839}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1563/1563 [2:28:06<00:00, 5.69s/it]\n" + ] + } + ], "source": [ - "gt_path = \"/home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl\"\n", - "gt_catalog_df = pd.read_pickle(gt_path)" + "metrics = instantiate(notebook_cfg.encoder.mode_metrics)\n", + "matcher = instantiate(notebook_cfg.encoder.matcher)\n", + "metrics.reset()\n", + "# args\n", + "lsst_root_dir = \"/data/scratch/dc2_nfs/\"\n", + "image_lim = 80\n", + "r_band_min_flux = 50\n", + "tile_slen = 4\n", + "max_sources_per_tile = 1\n", + "tiles_to_crop = 1\n", + "\n", + "# lsst_predictor = LSSTPredictor(lsst_root_dir, r_band_min_flux, tile_slen, max_sources_per_tile, tiles_to_crop)\n", + "for batch_idx, batch in tqdm(enumerate(dataset.test_dataloader()), total=len(dataset.test_dataloader())):\n", + " true_cat = TileCatalog(tile_slen=4, d=batch[\"tile_catalog\"]).get_brightest_sources_per_tile()\n", + " lsst_cat = lsst_predictor.predict(batch[\"wcs_header_str\"], image_lim, batch[\"image_height_index\"], batch[\"image_width_index\"])\n", + " est_cat = est_redshifts_with_reg_change_to_cat(lsst_cat, reg, tile_slen=4)\n", + " est_cat = est_cat.to_full_catalog()\n", + " true_cat = true_cat.to_full_catalog()\n", + " matching = matcher.match_catalogs(true_cat, est_cat)\n", + " metrics.update(true_cat, est_cat, matching)\n", + " print(metrics.compute())\n", + "lsst_out_dict = metrics.compute()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "lsst_out_dict = metrics.compute()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "lsst_out_dict = {'redshifts/bias_abs': 0.07466590404510498, 'redshifts/bias_abs_bin_0': 0.1455247700214386, 'redshifts/bias_abs_bin_1': 0.08818467706441879, 'redshifts/bias_abs_bin_2': 0.056835900992155075, 'redshifts/bias_abs_bin_3': 0.04546775668859482, 'redshifts/bias_abs_bin_4': 0.039869025349617004, 'redshifts/bias_abs_bin_5': 0.02361190691590309, 'redshifts/bias': 0.0038981123361736536, 'redshifts/bias_bin_0': 0.029862217605113983, 'redshifts/bias_bin_1': 0.010378886945545673, 'redshifts/bias_bin_2': -0.002804808085784316, 'redshifts/bias_bin_3': -0.007274845615029335, 'redshifts/bias_bin_4': -0.005987464915961027, 'redshifts/bias_bin_5': -0.0012617014581337571, 'redshifts/mse': 0.30767011642456055, 'redshifts/mse_bin_0': 0.4378018379211426, 'redshifts/mse_bin_1': 0.35390058159828186, 'redshifts/mse_bin_2': 0.2549101412296295, 'redshifts/mse_bin_3': 0.22312133014202118, 'redshifts/mse_bin_4': 0.24609670042991638, 'redshifts/mse_bin_5': 0.07585000991821289, 'redshifts/nmad': 0.11095684766769409, 'redshifts/nmad_bin_0': 0.21474693715572357, 'redshifts/nmad_bin_1': 0.13272900879383087, 'redshifts/nmad_bin_2': 0.08321217447519302, 'redshifts/nmad_bin_3': 0.06979083269834518, 'redshifts/nmad_bin_4': 0.06024457886815071, 'redshifts/nmad_bin_5': 0.034900594502687454, 'redshifts/outlier_fraction': 0.32525140047073364, 'redshifts/outlier_fraction_bin_0': 0.49118345975875854, 'redshifts/outlier_fraction_bin_1': 0.34884896874427795, 'redshifts/outlier_fraction_bin_2': 0.25059953331947327, 'redshifts/outlier_fraction_bin_3': 0.19260917603969574, 'redshifts/outlier_fraction_bin_4': 0.17122040688991547, 'redshifts/outlier_fraction_bin_5': 0.09605911374092102, 'redshifts/outlier_fraction_cata': 0.08772903680801392, 'redshifts/outlier_fraction_cata_bin_0': 0.12970498204231262, 'redshifts/outlier_fraction_cata_bin_1': 0.09790033102035522, 'redshifts/outlier_fraction_cata_bin_2': 0.07314148545265198, 'redshifts/outlier_fraction_cata_bin_3': 0.060470324009656906, 'redshifts/outlier_fraction_cata_bin_4': 0.061930783092975616, 'redshifts/outlier_fraction_cata_bin_5': 0.018472906202077866}" ] }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
cosmodc2_ididflux_iflux_rdecmatch_objectIdflux_uflux_gflux_yra...IxxPSF_pixel_iIyyPSF_pixel_gIxyPSF_pixel_gobjectIdIxyPSF_pixel_ypsf_fwhm_iIxyPSF_pixel_zIxxPSF_pixel_rIyyPSF_pixel_zpsf_fwhm_z
087574015018757401501182.194626144.206085-38.67752115982501021353368123.476219160.843887263.54742456.851958...3.0425813.0905870.0066271.598250e+16-0.0009880.8199640.0018583.1087673.8663990.926216
18750694182875069418299.90623559.634422-38.6771041598250102135339310.70587321.402449125.48266656.799616...3.0461973.213237-0.0038061.598250e+16-0.0033110.8204320.0012103.1456374.0145150.943202
287528120738752812073503.124298499.428711-38.67688215982501021353397594.172546550.806763577.89904856.883238...3.0373783.0671760.0063821.598250e+16-0.0009010.8192850.0097363.1357663.9037950.931271
387500455818750045581266.654419216.263962-38.6766741598250102135341451.661514117.508293336.93927056.858170...3.0427263.0614460.0081141.598250e+16-0.0028440.8198050.0032233.0726023.8848260.928279
487518413008751841300127.01150556.280338-38.6764231598250102135341933.59746240.201370148.96217356.889715...3.0371963.0220180.0052051.598250e+16-0.0075530.8192770.0012103.1117834.0145150.943202
\n", - "

5 rows × 45 columns

\n", - "
" - ], "text/plain": [ - " cosmodc2_id id flux_i flux_r dec \\\n", - "0 8757401501 8757401501 182.194626 144.206085 -38.677521 \n", - "1 8750694182 8750694182 99.906235 59.634422 -38.677104 \n", - "2 8752812073 8752812073 503.124298 499.428711 -38.676882 \n", - "3 8750045581 8750045581 266.654419 216.263962 -38.676674 \n", - "4 8751841300 8751841300 127.011505 56.280338 -38.676423 \n", - "\n", - " match_objectId flux_u flux_g flux_y ra ... \\\n", - "0 15982501021353368 123.476219 160.843887 263.547424 56.851958 ... \n", - "1 15982501021353393 10.705873 21.402449 125.482666 56.799616 ... \n", - "2 15982501021353397 594.172546 550.806763 577.899048 56.883238 ... \n", - "3 15982501021353414 51.661514 117.508293 336.939270 56.858170 ... \n", - "4 15982501021353419 33.597462 40.201370 148.962173 56.889715 ... \n", - "\n", - " IxxPSF_pixel_i IyyPSF_pixel_g IxyPSF_pixel_g objectId \\\n", - "0 3.042581 3.090587 0.006627 1.598250e+16 \n", - "1 3.046197 3.213237 -0.003806 1.598250e+16 \n", - "2 3.037378 3.067176 0.006382 1.598250e+16 \n", - "3 3.042726 3.061446 0.008114 1.598250e+16 \n", - "4 3.037196 3.022018 0.005205 1.598250e+16 \n", - "\n", - " IxyPSF_pixel_y psf_fwhm_i IxyPSF_pixel_z IxxPSF_pixel_r IyyPSF_pixel_z \\\n", - "0 -0.000988 0.819964 0.001858 3.108767 3.866399 \n", - "1 -0.003311 0.820432 0.001210 3.145637 4.014515 \n", - "2 -0.000901 0.819285 0.009736 3.135766 3.903795 \n", - "3 -0.002844 0.819805 0.003223 3.072602 3.884826 \n", - "4 -0.007553 0.819277 0.001210 3.111783 4.014515 \n", - "\n", - " psf_fwhm_z \n", - "0 0.926216 \n", - "1 0.943202 \n", - "2 0.931271 \n", - "3 0.928279 \n", - "4 0.943202 \n", - "\n", - "[5 rows x 45 columns]" + "{'redshifts/bias_abs': 0.07466590404510498,\n", + " 'redshifts/bias_abs_bin_0': 0.1455247700214386,\n", + " 'redshifts/bias_abs_bin_1': 0.08818467706441879,\n", + " 'redshifts/bias_abs_bin_2': 0.056835900992155075,\n", + " 'redshifts/bias_abs_bin_3': 0.04546775668859482,\n", + " 'redshifts/bias_abs_bin_4': 0.039869025349617004,\n", + " 'redshifts/bias_abs_bin_5': 0.02361190691590309,\n", + " 'redshifts/bias': 0.0038981123361736536,\n", + " 'redshifts/bias_bin_0': 0.029862217605113983,\n", + " 'redshifts/bias_bin_1': 0.010378886945545673,\n", + " 'redshifts/bias_bin_2': -0.002804808085784316,\n", + " 'redshifts/bias_bin_3': -0.007274845615029335,\n", + " 'redshifts/bias_bin_4': -0.005987464915961027,\n", + " 'redshifts/bias_bin_5': -0.0012617014581337571,\n", + " 'redshifts/mse': 0.30767011642456055,\n", + " 'redshifts/mse_bin_0': 0.4378018379211426,\n", + " 'redshifts/mse_bin_1': 0.35390058159828186,\n", + " 'redshifts/mse_bin_2': 0.2549101412296295,\n", + " 'redshifts/mse_bin_3': 0.22312133014202118,\n", + " 'redshifts/mse_bin_4': 0.24609670042991638,\n", + " 'redshifts/mse_bin_5': 0.07585000991821289,\n", + " 'redshifts/nmad': 0.11095684766769409,\n", + " 'redshifts/nmad_bin_0': 0.21474693715572357,\n", + " 'redshifts/nmad_bin_1': 0.13272900879383087,\n", + " 'redshifts/nmad_bin_2': 0.08321217447519302,\n", + " 'redshifts/nmad_bin_3': 0.06979083269834518,\n", + " 'redshifts/nmad_bin_4': 0.06024457886815071,\n", + " 'redshifts/nmad_bin_5': 0.034900594502687454,\n", + " 'redshifts/outlier_fraction': 0.32525140047073364,\n", + " 'redshifts/outlier_fraction_bin_0': 0.49118345975875854,\n", + " 'redshifts/outlier_fraction_bin_1': 0.34884896874427795,\n", + " 'redshifts/outlier_fraction_bin_2': 0.25059953331947327,\n", + " 'redshifts/outlier_fraction_bin_3': 0.19260917603969574,\n", + " 'redshifts/outlier_fraction_bin_4': 0.17122040688991547,\n", + " 'redshifts/outlier_fraction_bin_5': 0.09605911374092102,\n", + " 'redshifts/outlier_fraction_cata': 0.08772903680801392,\n", + " 'redshifts/outlier_fraction_cata_bin_0': 0.12970498204231262,\n", + " 'redshifts/outlier_fraction_cata_bin_1': 0.09790033102035522,\n", + " 'redshifts/outlier_fraction_cata_bin_2': 0.07314148545265198,\n", + " 'redshifts/outlier_fraction_cata_bin_3': 0.060470324009656906,\n", + " 'redshifts/outlier_fraction_cata_bin_4': 0.061930783092975616,\n", + " 'redshifts/outlier_fraction_cata_bin_5': 0.018472906202077866}" ] }, - "execution_count": 30, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "gt_catalog_df.head()" + "lsst_out_dict" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'gt_out_dict' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[17], line 6\u001b[0m\n\u001b[1;32m 4\u001b[0m flux_ranges \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[100-200]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[200-400]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[400-600]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[600-1000]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[>1000]\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m 5\u001b[0m mag_ranges \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[<23.90]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[23.90-24.45]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[24.45-24.89]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[24.89-25.65]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[25.65-26.40]\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m----> 6\u001b[0m gt_values \u001b[38;5;241m=\u001b[39m [gt_out_dict[\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mredshifts/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_bin_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mreversed\u001b[39m(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m5\u001b[39m))]\n\u001b[1;32m 7\u001b[0m bliss_values \u001b[38;5;241m=\u001b[39m [bliss_out_dict[\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mredshifts/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_bin_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mreversed\u001b[39m(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m5\u001b[39m))]\n\u001b[1;32m 8\u001b[0m lsst_values \u001b[38;5;241m=\u001b[39m [lsst_out_dict[\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mredshifts/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_bin_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mreversed\u001b[39m(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m5\u001b[39m))]\n", + "Cell \u001b[0;32mIn[17], line 6\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 4\u001b[0m flux_ranges \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[100-200]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[200-400]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[400-600]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[600-1000]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[>1000]\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m 5\u001b[0m mag_ranges \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[<23.90]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[23.90-24.45]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[24.45-24.89]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[24.89-25.65]\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m[25.65-26.40]\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m----> 6\u001b[0m gt_values \u001b[38;5;241m=\u001b[39m [\u001b[43mgt_out_dict\u001b[49m[\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mredshifts/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_bin_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mreversed\u001b[39m(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m5\u001b[39m))]\n\u001b[1;32m 7\u001b[0m bliss_values \u001b[38;5;241m=\u001b[39m [bliss_out_dict[\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mredshifts/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_bin_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mreversed\u001b[39m(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m5\u001b[39m))]\n\u001b[1;32m 8\u001b[0m lsst_values \u001b[38;5;241m=\u001b[39m [lsst_out_dict[\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mredshifts/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmetric\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_bin_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mreversed\u001b[39m(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m5\u001b[39m))]\n", + "\u001b[0;31mNameError\u001b[0m: name 'gt_out_dict' is not defined" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "gt_test_df = gt_catalog_df[gt_catalog_df.flux_r < 200].sample(10000)" + "metrics = ['mse', 'nmad', 'outlier_fraction_cata', 'outlier_fraction', 'bias']\n", + "fig, ax = plt.subplots(len(metrics), figsize=(10, 30))\n", + "for i, metric in enumerate(metrics):\n", + " flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", + " mag_ranges = ['[<23.90]', '[23.90-24.45]', '[24.45-24.89]', '[24.89-25.65]', '[25.65-26.40]']\n", + " gt_values = [gt_out_dict[f'redshifts/{metric}_bin_{i}'] for i in reversed(range(5))]\n", + " bliss_values = [bliss_out_dict[f'redshifts/{metric}_bin_{i}'] for i in reversed(range(5))]\n", + " lsst_values = [lsst_out_dict[f'redshifts/{metric}_bin_{i}'] for i in reversed(range(5))]\n", + "\n", + " ax[i].plot(mag_ranges, bliss_values, label=\"bliss\", marker='o')\n", + " ax[i].plot(mag_ranges, gt_values, label=\"gt_reg\", marker='o')\n", + " ax[i].plot(mag_ranges, lsst_values, label=\"lsst\", marker='o')\n", + " if metric != 'bias':\n", + " ax[i].set_yscale(\"log\")\n", + " ax[i].set_xlabel('mag range')\n", + " ax[i].set_ylabel(metric)\n", + " ax[i].set_title(f'{metric} per mag range')\n", + " ax[i].legend(loc='upper left')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "metrics = ['mse', 'nmad', 'outlier_fraction_cata', 'outlier_fraction', 'bias', 'bias_abs']\n", + "fig, ax = plt.subplots(len(metrics), figsize=(10, 30))\n", + "for i, metric in enumerate(metrics):\n", + " flux_ranges = ['[100-200]', '[200-400]', '[400-600]', '[600-1000]', '[>1000]']\n", + " mag_ranges = ['[<23.90]', '[23.90-24.45]', '[24.45-24.89]', '[24.89-25.65]', '[25.65-26.40]']\n", + " bliss_values = [bliss_out_dict[f'redshifts/{metric}_bin_{i}'] for i in reversed(range(5))]\n", + " lsst_values = [lsst_out_dict[f'redshifts/{metric}_bin_{i}'] for i in reversed(range(5))]\n", + "\n", + " ax[i].plot(mag_ranges, bliss_values, label=\"bliss\", marker='o')\n", + " ax[i].plot(mag_ranges, lsst_values, label=\"lsst\", marker='o')\n", + " ax[i].set_xlabel('mag range')\n", + " ax[i].set_ylabel(metric)\n", + " ax[i].set_title(f'{metric} per mag range')\n", + " ax[i].legend(loc='upper left')\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Index(['cosmodc2_id', 'id', 'flux_i', 'flux_r', 'dec', 'match_objectId',\n", - " 'flux_u', 'flux_g', 'flux_y', 'ra', 'truth_type', 'flux_z', 'redshifts',\n", - " 'size_bulge_true', 'position_angle_true', 'galaxy_id',\n", - " 'size_minor_disk_true', 'size_disk_true', 'size_minor_bulge_true',\n", - " 'bulge_to_total_ratio_i', 'psf_fwhm_g', 'psf_fwhm_r', 'IxxPSF_pixel_g',\n", - " 'psf_fwhm_y', 'IxyPSF_pixel_i', 'IyyPSF_pixel_i', 'IxyPSF_pixel_u',\n", - " 'IyyPSF_pixel_u', 'IxyPSF_pixel_r', 'IxxPSF_pixel_y', 'IxxPSF_pixel_z',\n", - " 'psf_fwhm_u', 'IxxPSF_pixel_u', 'IyyPSF_pixel_y', 'IyyPSF_pixel_r',\n", - " 'IxxPSF_pixel_i', 'IyyPSF_pixel_g', 'IxyPSF_pixel_g', 'objectId',\n", - " 'IxyPSF_pixel_y', 'psf_fwhm_i', 'IxyPSF_pixel_z', 'IxxPSF_pixel_r',\n", - " 'IyyPSF_pixel_z', 'psf_fwhm_z'],\n", - " dtype='object')" + "{'redshifts/bias': -0.006504147779196501,\n", + " 'redshifts/bias_bin_0': -0.014045719988644123,\n", + " 'redshifts/bias_bin_1': -0.003189431270584464,\n", + " 'redshifts/bias_bin_2': -0.001660200534388423,\n", + " 'redshifts/bias_bin_3': -0.0022904197685420513,\n", + " 'redshifts/bias_bin_4': -0.0020288412924855947,\n", + " 'redshifts/bias_bin_5': -0.001150956959463656,\n", + " 'redshifts/mse': 0.1870339810848236,\n", + " 'redshifts/mse_bin_0': 0.24770021438598633,\n", + " 'redshifts/mse_bin_1': 0.06841427832841873,\n", + " 'redshifts/mse_bin_2': 0.03366375342011452,\n", + " 'redshifts/mse_bin_3': 0.01996874250471592,\n", + " 'redshifts/mse_bin_4': 0.016289599239826202,\n", + " 'redshifts/mse_bin_5': 0.007452603429555893,\n", + " 'redshifts/nmad': 0.1080448254942894,\n", + " 'redshifts/nmad_bin_0': 0.15906529128551483,\n", + " 'redshifts/nmad_bin_1': 0.06110619008541107,\n", + " 'redshifts/nmad_bin_2': 0.041873544454574585,\n", + " 'redshifts/nmad_bin_3': 0.032535992562770844,\n", + " 'redshifts/nmad_bin_4': 0.027776511386036873,\n", + " 'redshifts/nmad_bin_5': 0.019936883822083473,\n", + " 'redshifts/outlier_fraction': 0.28535473346710205,\n", + " 'redshifts/outlier_fraction_bin_0': 0.3755548894405365,\n", + " 'redshifts/outlier_fraction_bin_1': 0.11349668353796005,\n", + " 'redshifts/outlier_fraction_bin_2': 0.05534306541085243,\n", + " 'redshifts/outlier_fraction_bin_3': 0.03066314570605755,\n", + " 'redshifts/outlier_fraction_bin_4': 0.029126213863492012,\n", + " 'redshifts/outlier_fraction_bin_5': 0.013913496397435665,\n", + " 'redshifts/outlier_fraction_cata': 0.04472843557596207,\n", + " 'redshifts/outlier_fraction_cata_bin_0': 0.642822802066803,\n", + " 'redshifts/outlier_fraction_cata_bin_1': 0.30798959732055664,\n", + " 'redshifts/outlier_fraction_cata_bin_2': 0.17305441200733185,\n", + " 'redshifts/outlier_fraction_cata_bin_3': 0.10284624248743057,\n", + " 'redshifts/outlier_fraction_cata_bin_4': 0.08396746218204498,\n", + " 'redshifts/outlier_fraction_cata_bin_5': 0.03402813896536827}" ] }, - "execution_count": 32, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], + "source": [ + "bliss_out_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## debug" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/391 [00:01 flux_min]" ] }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 9.160922e+06\n", + "mean 3.976622e-02\n", + "std 1.079735e-01\n", + "min -1.678246e+00\n", + "25% 0.000000e+00\n", + "50% 1.636379e-03\n", + "75% 2.584892e-02\n", + "max 1.000000e+00\n", + "Name: blendedness, dtype: float64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_galaxy_psf_df[\"blendedness\"].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3452525" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_galaxy_psf_df[\"blendedness\"].isna().sum()" + ] + }, { "cell_type": "code", "execution_count": 15, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "12613447" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(truth_galaxy_psf_df)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "truth_galaxy_psf_df[\"blendedness\"] = np.clip(truth_galaxy_psf_df[\"blendedness\"].values, a_min=0.0, a_max=1.0)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 9.160922e+06\n", + "mean 4.019095e-02\n", + "std 1.076950e-01\n", + "min 0.000000e+00\n", + "25% 0.000000e+00\n", + "50% 1.636379e-03\n", + "75% 2.584892e-02\n", + "max 1.000000e+00\n", + "Name: blendedness, dtype: float64" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "truth_galaxy_psf_df[\"blendedness\"].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, "outputs": [], "source": [ "# # create a pickle file \n", "truth_galaxy_psf_df.to_pickle(output_dir / f\"merged_catalog_with_flux_over_{flux_min}.pkl\")" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "truth_galaxy_psf_df" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -202,7 +357,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -220,8 +375,37 @@ "initialization ends\n", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n", - "load dc2\n", - "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n" + "load dc2\n" + ] + }, + { + "ename": "InstantiationException", + "evalue": "Error locating target 'bliss.cached_dataset.FluxFilterTransform', set env var HYDRA_FULL_ERROR=1 to see chained exception.\nfull_key: surveys.dc2.train_transforms2", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/hydra/_internal/utils.py:650\u001b[0m, in \u001b[0;36m_locate\u001b[0;34m(path)\u001b[0m\n\u001b[1;32m 649\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 650\u001b[0m obj \u001b[38;5;241m=\u001b[39m \u001b[43mimport_module\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmod\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 651\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n", + "File \u001b[0;32m/usr/lib/python3.10/importlib/__init__.py:126\u001b[0m, in \u001b[0;36mimport_module\u001b[0;34m(name, package)\u001b[0m\n\u001b[1;32m 125\u001b[0m level \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m--> 126\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_bootstrap\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_gcd_import\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m[\u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m:\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpackage\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m:1050\u001b[0m, in \u001b[0;36m_gcd_import\u001b[0;34m(name, package, level)\u001b[0m\n", + "File \u001b[0;32m:1027\u001b[0m, in \u001b[0;36m_find_and_load\u001b[0;34m(name, import_)\u001b[0m\n", + "File \u001b[0;32m:1001\u001b[0m, in \u001b[0;36m_find_and_load_unlocked\u001b[0;34m(name, import_)\u001b[0m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'bliss.cached_dataset.FluxFilterTransform'; 'bliss.cached_dataset' is not a package", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py:134\u001b[0m, in \u001b[0;36m_resolve_target\u001b[0;34m(target, full_key)\u001b[0m\n\u001b[1;32m 133\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 134\u001b[0m target \u001b[38;5;241m=\u001b[39m \u001b[43m_locate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtarget\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 135\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/hydra/_internal/utils.py:653\u001b[0m, in \u001b[0;36m_locate\u001b[0;34m(path)\u001b[0m\n\u001b[1;32m 652\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mModuleNotFoundError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc_import:\n\u001b[0;32m--> 653\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\n\u001b[1;32m 654\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mError loading \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mrepr\u001b[39m(exc_import)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 655\u001b[0m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mAre you sure that \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpart\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m is importable from module \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mparent_dotpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m?\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 656\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mexc_import\u001b[39;00m\n\u001b[1;32m 657\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc_import:\n", + "\u001b[0;31mImportError\u001b[0m: Error loading 'bliss.cached_dataset.FluxFilterTransform':\nModuleNotFoundError(\"No module named 'bliss.cached_dataset.FluxFilterTransform'; 'bliss.cached_dataset' is not a package\")\nAre you sure that 'FluxFilterTransform' is importable from module 'bliss.cached_dataset'?", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mInstantiationException\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[22], line 11\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m+\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m*\u001b[39m \u001b[38;5;241m100\u001b[39m, flush\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mload dc2\u001b[39m\u001b[38;5;124m\"\u001b[39m, flush\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m---> 11\u001b[0m dc2: DC2DataModule \u001b[38;5;241m=\u001b[39m \u001b[43minstantiate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnotebook_cfg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msurveys\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdc2\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 12\u001b[0m dc2\u001b[38;5;241m.\u001b[39mprepare_data()\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m+\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m*\u001b[39m \u001b[38;5;241m100\u001b[39m, flush\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py:226\u001b[0m, in \u001b[0;36minstantiate\u001b[0;34m(config, *args, **kwargs)\u001b[0m\n\u001b[1;32m 223\u001b[0m _convert_ \u001b[38;5;241m=\u001b[39m config\u001b[38;5;241m.\u001b[39mpop(_Keys\u001b[38;5;241m.\u001b[39mCONVERT, ConvertMode\u001b[38;5;241m.\u001b[39mNONE)\n\u001b[1;32m 224\u001b[0m _partial_ \u001b[38;5;241m=\u001b[39m config\u001b[38;5;241m.\u001b[39mpop(_Keys\u001b[38;5;241m.\u001b[39mPARTIAL, \u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m--> 226\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43minstantiate_node\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 227\u001b[0m \u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrecursive\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_recursive_\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconvert\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_convert_\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpartial\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_partial_\u001b[49m\n\u001b[1;32m 228\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 229\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m OmegaConf\u001b[38;5;241m.\u001b[39mis_list(config):\n\u001b[1;32m 230\u001b[0m \u001b[38;5;66;03m# Finalize config (convert targets to strings, merge with kwargs)\u001b[39;00m\n\u001b[1;32m 231\u001b[0m config_copy \u001b[38;5;241m=\u001b[39m copy\u001b[38;5;241m.\u001b[39mdeepcopy(config)\n", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py:342\u001b[0m, in \u001b[0;36minstantiate_node\u001b[0;34m(node, convert, recursive, partial, *args)\u001b[0m\n\u001b[1;32m 340\u001b[0m value \u001b[38;5;241m=\u001b[39m node[key]\n\u001b[1;32m 341\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m recursive:\n\u001b[0;32m--> 342\u001b[0m value \u001b[38;5;241m=\u001b[39m \u001b[43minstantiate_node\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 343\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconvert\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconvert\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrecursive\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrecursive\u001b[49m\n\u001b[1;32m 344\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 345\u001b[0m kwargs[key] \u001b[38;5;241m=\u001b[39m _convert_node(value, convert)\n\u001b[1;32m 347\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _call_target(_target_, partial, args, kwargs, full_key)\n", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py:316\u001b[0m, in \u001b[0;36minstantiate_node\u001b[0;34m(node, convert, recursive, partial, *args)\u001b[0m\n\u001b[1;32m 314\u001b[0m \u001b[38;5;66;03m# If OmegaConf list, create new list of instances if recursive\u001b[39;00m\n\u001b[1;32m 315\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m OmegaConf\u001b[38;5;241m.\u001b[39mis_list(node):\n\u001b[0;32m--> 316\u001b[0m items \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m 317\u001b[0m instantiate_node(item, convert\u001b[38;5;241m=\u001b[39mconvert, recursive\u001b[38;5;241m=\u001b[39mrecursive)\n\u001b[1;32m 318\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m item \u001b[38;5;129;01min\u001b[39;00m node\u001b[38;5;241m.\u001b[39m_iter_ex(resolve\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 319\u001b[0m ]\n\u001b[1;32m 321\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m convert \u001b[38;5;129;01min\u001b[39;00m (ConvertMode\u001b[38;5;241m.\u001b[39mALL, ConvertMode\u001b[38;5;241m.\u001b[39mPARTIAL, ConvertMode\u001b[38;5;241m.\u001b[39mOBJECT):\n\u001b[1;32m 322\u001b[0m \u001b[38;5;66;03m# If ALL or PARTIAL or OBJECT, use plain list as container\u001b[39;00m\n\u001b[1;32m 323\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m items\n", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py:317\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 314\u001b[0m \u001b[38;5;66;03m# If OmegaConf list, create new list of instances if recursive\u001b[39;00m\n\u001b[1;32m 315\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m OmegaConf\u001b[38;5;241m.\u001b[39mis_list(node):\n\u001b[1;32m 316\u001b[0m items \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m--> 317\u001b[0m \u001b[43minstantiate_node\u001b[49m\u001b[43m(\u001b[49m\u001b[43mitem\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconvert\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconvert\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrecursive\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrecursive\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 318\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m item \u001b[38;5;129;01min\u001b[39;00m node\u001b[38;5;241m.\u001b[39m_iter_ex(resolve\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 319\u001b[0m ]\n\u001b[1;32m 321\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m convert \u001b[38;5;129;01min\u001b[39;00m (ConvertMode\u001b[38;5;241m.\u001b[39mALL, ConvertMode\u001b[38;5;241m.\u001b[39mPARTIAL, ConvertMode\u001b[38;5;241m.\u001b[39mOBJECT):\n\u001b[1;32m 322\u001b[0m \u001b[38;5;66;03m# If ALL or PARTIAL or OBJECT, use plain list as container\u001b[39;00m\n\u001b[1;32m 323\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m items\n", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py:333\u001b[0m, in \u001b[0;36minstantiate_node\u001b[0;34m(node, convert, recursive, partial, *args)\u001b[0m\n\u001b[1;32m 331\u001b[0m exclude_keys \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m({\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_target_\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_convert_\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_recursive_\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_partial_\u001b[39m\u001b[38;5;124m\"\u001b[39m})\n\u001b[1;32m 332\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m _is_target(node):\n\u001b[0;32m--> 333\u001b[0m _target_ \u001b[38;5;241m=\u001b[39m \u001b[43m_resolve_target\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnode\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_Keys\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mTARGET\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfull_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 334\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 335\u001b[0m is_partial \u001b[38;5;241m=\u001b[39m node\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_partial_\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m) \u001b[38;5;129;01mor\u001b[39;00m partial\n", + "File \u001b[0;32m~/bliss/.venv/lib/python3.10/site-packages/hydra/_internal/instantiate/_instantiate2.py:139\u001b[0m, in \u001b[0;36m_resolve_target\u001b[0;34m(target, full_key)\u001b[0m\n\u001b[1;32m 137\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m full_key:\n\u001b[1;32m 138\u001b[0m msg \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mfull_key: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfull_key\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m--> 139\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InstantiationException(msg) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[1;32m 140\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m callable(target):\n\u001b[1;32m 141\u001b[0m msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mExpected a callable target, got \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtarget\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m of type \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(target)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\n", + "\u001b[0;31mInstantiationException\u001b[0m: Error locating target 'bliss.cached_dataset.FluxFilterTransform', set env var HYDRA_FULL_ERROR=1 to see chained exception.\nfull_key: surveys.dc2.train_transforms2" ] } ], @@ -236,12 +420,17 @@ "\n", "print(\"+\" * 100, flush=True)\n", "print(\"load dc2\", flush=True)\n", - "dc2: DC2 = instantiate(notebook_cfg.surveys.dc2)\n", + "dc2: DC2DataModule = instantiate(notebook_cfg.surveys.dc2)\n", "dc2.prepare_data()\n", - "dc2.setup()\n", - "dc2_test_dataset = dc2.test_dataset\n", "print(\"+\" * 100, flush=True)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/case_studies/redshift/redshift_from_img/encoder/encoder.py b/case_studies/redshift/redshift_from_img/encoder/encoder.py index 1194293fc..066028f2c 100644 --- a/case_studies/redshift/redshift_from_img/encoder/encoder.py +++ b/case_studies/redshift/redshift_from_img/encoder/encoder.py @@ -1,15 +1,18 @@ +import torch + from bliss.catalog import TileCatalog from bliss.encoder.encoder import Encoder class RedshiftsEncoder(Encoder): def update_metrics(self, batch, batch_idx): - target_cat = TileCatalog(self.tile_slen, batch["tile_catalog"]) - target_cat = target_cat.filter_tile_catalog_by_flux( + target_cat = TileCatalog( + self.tile_slen, batch["tile_catalog"] + ).get_brightest_sources_per_tile() + target_cat = target_cat.filter_by_flux( min_flux=self.min_flux_for_loss, band=self.reference_band, ) - target_cat = target_cat.symmetric_crop(self.tiles_to_crop) mode_cat = self.sample(batch, use_mode=True) matching = self.matcher.match_catalogs(target_cat, mode_cat) @@ -25,3 +28,27 @@ def on_validation_epoch_end(self): self.sample_metrics = self.sample_metrics.to(self.device) self.report_metrics(self.mode_metrics, "val/mode", show_epoch=True) self.report_metrics(self.sample_metrics, "val/sample", show_epoch=True) + + def get_features_and_parameters(self, batch): + batch = ( + batch + if isinstance(batch, dict) + else {"images": batch, "background": torch.zeros_like(batch)} + ) + batch_size, _n_bands, h, w = batch["images"].shape[0:4] + ht, wt = h // self.tile_slen, w // self.tile_slen + + input_lst = [ + inorm.get_input_tensor(batch).to(batch["images"].device) + for inorm in self.image_normalizers + ] + x = torch.cat(input_lst, dim=2) + x_features = self.features_net(x) + mask = torch.zeros([batch_size, ht, wt]) + context = self.make_context(None, mask).to("cuda") + x_cat_marginal = self.catalog_net(x_features, context) + return x_features, x_cat_marginal + + def sample(self, batch, use_mode=True): + _, x_cat_marginal = self.get_features_and_parameters(batch) + return self.var_dist.sample(x_cat_marginal, use_mode=use_mode) diff --git a/case_studies/redshift/redshift_from_img/encoder/metrics.py b/case_studies/redshift/redshift_from_img/encoder/metrics.py index 0bec5f2ec..c92430605 100644 --- a/case_studies/redshift/redshift_from_img/encoder/metrics.py +++ b/case_studies/redshift/redshift_from_img/encoder/metrics.py @@ -36,13 +36,13 @@ def update(self, true_cat, est_cat, matching): # For RedshiftsCatalogMatcher if isinstance(est_cat, BaseTileCatalog): self.total += tcat_matches.sum() - true_red = true_cat["redshifts"][i][tcat_matches] - est_red = est_cat["redshifts"][i][ecat_matches] + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) # For CatalogMatcher else: self.total += tcat_matches.size(0) - true_red = true_cat["redshifts"][i, tcat_matches, :] - est_red = est_cat["redshifts"][i, ecat_matches, :] + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) red_err = ((true_red - est_red).abs() ** 2).sum() @@ -68,17 +68,22 @@ def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] - true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) - est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + tcat_matches = rearrange(tcat_matches, "h w 1 1 -> h w 1") + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) - true_mag = ( - true_cat.on_fluxes[i][..., self.mag_band] - .unsqueeze(-1)[tcat_matches] - .to(self.device) - ) + true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) bin_indices = torch.bucketize(true_mag, cutoffs) red_err = (true_red - est_red).abs() ** 2 + if len(red_err.shape) > 1: + red_err = red_err.squeeze(-1) self.total += bin_indices.bincount(minlength=self.n_bins) for bin_idx, err in zip(bin_indices, red_err): @@ -93,6 +98,50 @@ def compute(self): return {**mse_per_bin_results} +class RedshiftMeanSquaredErrorBlendedness(MetricBin): + def __init__( + self, + **kwargs, + ): + super().__init__(**kwargs) + self.add_state("sum_squared_error", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") + + def update(self, true_cat, est_cat, matching): + cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + tcat_matches = rearrange(tcat_matches, "h w 1 1 -> h w 1") + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) + + true_blendedness = true_cat["blendedness"][i][..., 0][tcat_matches].to(self.device) + bin_indices = torch.bucketize(true_blendedness, cutoffs) + + red_err = (true_red - est_red).abs() ** 2 + if len(red_err.shape) > 1: + red_err = red_err.squeeze(-1) + + self.total += bin_indices.bincount(minlength=self.n_bins) + for bin_idx, err in zip(bin_indices, red_err): + self.sum_squared_error[bin_idx] += err + + def compute(self): + print(f"total num of pts: {self.total}") # noqa: WPS421 + mse_per_bin = self.sum_squared_error / self.total + mse_per_bin_results = { + f"redshifts/mse_blend_{i}": mse_per_bin[i].item() for i in range(len(mse_per_bin)) + } + return {**mse_per_bin_results} + + class RedshiftOutlierFraction(Metric): """set |z_true - z_pred| / (1 + z_true) > 0.15 as outlier, # noqa: RST305 D415 |z_true - z_pred| > 1 as catastrophic outlier, then calculate @@ -107,10 +156,17 @@ def __init__(self, **kwargs): def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] - self.total += tcat_matches.sum() + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + self.total += tcat_matches.sum() + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + # For CatalogMatcher + else: + self.total += tcat_matches.size(0) + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) - true_red = true_cat["redshifts"][i][tcat_matches] - est_red = est_cat["redshifts"][i][ecat_matches] metric_outlier = torch.abs(true_red - est_red) / (1 + true_red) self.num_outlier += (metric_outlier > 0.15).sum() @@ -138,17 +194,23 @@ def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] - true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) - est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) - true_mag = ( - true_cat.on_fluxes[i][..., self.mag_band] - .unsqueeze(-1)[tcat_matches] - .to(self.device) - ) + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + tcat_matches = rearrange(tcat_matches, "h w 1 1 -> h w 1") + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) + + true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) bin_indices = torch.bucketize(true_mag, cutoffs) metric_outlier = torch.abs(true_red - est_red) / (1 + true_red) metric_outlier = metric_outlier > 0.15 + if len(metric_outlier.shape) > 1: + metric_outlier = metric_outlier.squeeze(-1) self.total += bin_indices.bincount(minlength=self.n_bins) for bin_idx, outlier in zip(bin_indices, metric_outlier): @@ -177,10 +239,18 @@ def __init__(self, **kwargs): def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] - self.total += tcat_matches.sum() - true_red = true_cat["redshifts"][i][tcat_matches] - est_red = est_cat["redshifts"][i][ecat_matches] + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + self.total += tcat_matches.sum() + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + # For CatalogMatcher + else: + self.total += tcat_matches.size(0) + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) + metric_outlier_cata = torch.abs(true_red - est_red) self.num_outlier_cata += (metric_outlier_cata > 1).sum() @@ -208,17 +278,23 @@ def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] - true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) - est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) - true_mag = ( - true_cat.on_fluxes[i][..., self.mag_band] - .unsqueeze(-1)[tcat_matches] - .to(self.device) - ) + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + tcat_matches = rearrange(tcat_matches, "h w 1 1 -> h w 1") + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) + + true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) bin_indices = torch.bucketize(true_mag, cutoffs) metric_outlier_cata = torch.abs(true_red - est_red) metric_outlier_cata = metric_outlier_cata > 1 + if len(metric_outlier_cata.shape) > 1: + metric_outlier_cata = metric_outlier_cata.squeeze(-1) self.total += bin_indices.bincount(minlength=self.n_bins) for bin_idx, outlier in zip(bin_indices, metric_outlier_cata): @@ -246,14 +322,21 @@ def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] - true_red = true_cat["redshifts"][i][tcat_matches] - est_red = est_cat["redshifts"][i][ecat_matches] + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) metrics = (true_red - est_red) / (1 + true_red) self.metrics.append(metrics) def compute(self): - bias = torch.median(dim_zero_cat(self.metrics)) - nmad_all = torch.abs(self.metrics - bias) + concat_metrics = dim_zero_cat(self.metrics) + bias = torch.median(concat_metrics) + nmad_all = torch.abs(concat_metrics - bias) nmad = 1.4826 * torch.median(nmad_all) return {"redshifts/nmad": nmad.item()} @@ -272,17 +355,22 @@ def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] - true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) - est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + tcat_matches = rearrange(tcat_matches, "h w 1 1 -> h w 1") + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) - true_mag = ( - true_cat.on_fluxes[i][..., self.mag_band] - .unsqueeze(-1)[tcat_matches] - .to(self.device) - ) + true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) bin_indices = torch.bucketize(true_mag, cutoffs) metrics = (true_red - est_red) / (1 + true_red) + if len(metrics.shape) > 1: + metrics = metrics.squeeze(-1) for bin_idx, metric in zip(bin_indices, metrics): metric = metric.to(self.metrics[bin_idx].device) @@ -329,8 +417,15 @@ def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] - true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) - est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) + metrics = (true_red - est_red) / (1 + true_red) self.bias.append(metrics) @@ -353,17 +448,22 @@ def update(self, true_cat, est_cat, matching): for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] - true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) - est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + tcat_matches = rearrange(tcat_matches, "h w 1 1 -> h w 1") + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) - true_mag = ( - true_cat.on_fluxes[i][..., self.mag_band] - .unsqueeze(-1)[tcat_matches] - .to(self.device) - ) + true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) bin_indices = torch.bucketize(true_mag, cutoffs) metrics = (true_red - est_red) / (1 + true_red) + if len(metrics.shape) > 1: + metrics = metrics.squeeze(-1) for bin_idx, metric in zip(bin_indices, metrics): metric = metric.to(self.bias[bin_idx].device) @@ -389,6 +489,93 @@ def reset(self): self.bias.append(torch.tensor([])) +class RedshiftAbsBias(Metric): + """bias = Median(abs(z_true - z_pred) / (1 + z_true))).""" + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.add_state( + "bias", default=[], dist_reduce_fx="cat" + ) # store (z_true - z_pred) / (1 + z_true) # pylint: disable=line-too-long + + def update(self, true_cat, est_cat, matching): + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) + + metrics = torch.abs(true_red - est_red) / (1 + true_red) + self.bias.append(metrics) + + def compute(self): + bias = torch.median(dim_zero_cat(self.bias)) + return {"redshifts/bias_abs": bias.item()} + + +class RedshiftAbsBiasBin(MetricBin): + """bias = Median(abs(z_true - z_pred) / (1 + z_true))).""" + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.add_state("bias", default=[]) # store (z_true - z_pred) / (1 + z_true) + for _ in range(self.n_bins): + self.bias.append(torch.tensor([])) + + def update(self, true_cat, est_cat, matching): + cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + tcat_matches = rearrange(tcat_matches, "h w 1 1 -> h w 1") + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) + + true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) + bin_indices = torch.bucketize(true_mag, cutoffs) + + metrics = torch.abs(true_red - est_red) / (1 + true_red) + if len(metrics.shape) > 1: + metrics = metrics.squeeze(-1) + + for bin_idx, metric in zip(bin_indices, metrics): + metric = metric.to(self.bias[bin_idx].device) + self.bias[bin_idx] = torch.cat((self.bias[bin_idx], metric.unsqueeze(0)), dim=0) + + def compute(self): + # reduce across distributed system + metrics = [] + for _ in range(self.n_bins): + metrics.append(torch.tensor([], device=self.device)) + for i, metric in enumerate(self.bias): + metric = metric.to(self.device) + metrics[i % self.n_bins] = torch.cat((metrics[i % self.n_bins], metric), dim=0) + + # compute + bias_per_bin = [torch.median(metric) for metric in metrics] + return { + f"redshifts/bias_abs_bin_{i}": bias_per_bin[i].item() for i in range(len(bias_per_bin)) + } + + def reset(self): + # Reset the state to the initial empty tensors + self.bias = [] # pylint: disable=attribute-defined-outside-init + for _ in range(self.n_bins): + self.bias.append(torch.tensor([])) + + class RedshiftsCatalogMatcher(CatalogMatcher): def __init__( self, diff --git a/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml b/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml index e44254c05..c96a818ec 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml @@ -9,6 +9,9 @@ mode: train global_setting: min_flux_for_loss: 50 # you need to regenerate split_results after changing this number +paths: + root: /home/qiaozhih/bliss + variational_factors: - _target_: bliss.encoder.variational_dist.NormalFactor name: redshifts @@ -21,7 +24,6 @@ encoder: # _target_: bliss.encoder.encoder.Encoder survey_bands: ["g", "i", "r", "u", "y", "z"] tile_slen: 4 - tiles_to_crop: 1 min_flux_for_loss: ${global_setting.min_flux_for_loss} min_flux_for_metrics: 100 optimizer_params: @@ -29,20 +31,24 @@ encoder: scheduler_params: milestones: [32] gamma: 0.1 - image_normalizer: - _target_: bliss.encoder.image_normalizer.ImageNormalizer - bands: [0, 1, 2, 3, 4, 5] - include_original: false - include_background: false - concat_psf_params: false - num_psf_params: 4 # for SDSS, 4 for DC2 - log_transform_stdevs: [] - use_clahe: true - clahe_min_stdev: 200 - # matcher: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftsCatalogMatcher - # match_gating: is_galaxy - metrics: + image_normalizers: + psf: + _target_: bliss.encoder.image_normalizer.PsfAsImage + num_psf_params: 4 # 6 for SDSS, 4 for DC2, 10 for DES + clahe: + _target_: bliss.encoder.image_normalizer.ClaheNormalizer + min_stdev: 200 + asinh: + _target_: bliss.encoder.image_normalizer.AsinhQuantileNormalizer + q: [0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.99, 0.999, 0.9999, 0.99999] + matcher: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftsCatalogMatcher + match_gating: is_galaxy + mode_metrics: + _target_: torchmetrics.MetricCollection + _convert_: "partial" + metrics: ${my_metrics} + sample_metrics: _target_: torchmetrics.MetricCollection _convert_: "partial" metrics: ${my_metrics} @@ -53,31 +59,31 @@ encoder: use_checkerboard: false my_metrics: - redshift_mearn_square_error: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredError - redshift_mearn_square_error_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_outlier_fraction: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFraction - redshift_outlier_fraction_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_nmad: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDev - redshift_nmad_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDevBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_outlier_fraction_catastrophic: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCata - redshift_outlier_fraction_catastrophic_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCataBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_bias: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBias - redshift_bias_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBiasBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # redshift_mearn_square_error: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredError + # redshift_mearn_square_error_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBin + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # redshift_outlier_fraction: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFraction + # redshift_outlier_fraction_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionBin + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # redshift_nmad: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDev + # redshift_nmad_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDevBin + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # redshift_outlier_fraction_catastrophic: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCata + # redshift_outlier_fraction_catastrophic_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCataBin + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + # redshift_bias: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBias + # redshift_bias_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBiasBin + # mag_bin_cutoffs: [200, 400, 600, 800, 1000] train: trainer: @@ -96,8 +102,8 @@ train: val_check_interval: 0.5 # check_val_every_n_epoch: 1 # devices: [0, 2, 3, 4] - devices: [5, 6] - max_epochs: 0 + devices: [1, 4] + max_epochs: 50 callbacks: checkpointing: _target_: pytorch_lightning.callbacks.ModelCheckpoint @@ -113,12 +119,11 @@ train: mode: min patience: 500 data_source: ${surveys.dc2} - pretrained_weights: /home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/DC2_redshift_only_bin/checkpoints/encoder_0.174964.ckpt - test_best: false - + pretrained_weights: null surveys: dc2: - cat_path: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl - split_results_dir: /data/scratch/qiaozhih/DC2_split_result_all - batch_size: 128 + dc2_cat_path: /home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl + cached_data_path: /data/scratch/qiaozhih/dc2_cached_data + batch_size: 64 + max_sources_per_tile: 5 diff --git a/case_studies/redshift/redshift_from_img/notebook_config.yaml b/case_studies/redshift/redshift_from_img/notebook_config.yaml index 065359bb6..6199597c8 100644 --- a/case_studies/redshift/redshift_from_img/notebook_config.yaml +++ b/case_studies/redshift/redshift_from_img/notebook_config.yaml @@ -1,6 +1,6 @@ --- defaults: - - full_train_config + - full_train_config_redshift - _self_ - override hydra/job_logging: stdout @@ -9,6 +9,8 @@ encoder: surveys: dc2: - cat_path: ${paths.root}/case_studies/dc2/merged_catalog/merged_catalog_with_flux_over_100.pkl - # split_results_dir: /data/scratch/dc2local/run2.2i-dr6-v4/coadd-t3828-t3829/deepCoadd-results-contain-redshifts/ - split_results_dir: ${paths.root}/case_studies/redshift/redshift_from_img/DC2_split_result_all + dc2_cat_path: /home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl + cached_data_path: /data/scratch/qiaozhih/dc2_cached_data_blendedness + prepare_data_processes_num: 1 + num_workers: 0 + max_sources_per_tile: 5 diff --git a/case_studies/redshift/redshift_from_img/train.sh b/case_studies/redshift/redshift_from_img/train.sh index 8c4623bf9..c2178b653 100755 --- a/case_studies/redshift/redshift_from_img/train.sh +++ b/case_studies/redshift/redshift_from_img/train.sh @@ -1,5 +1,5 @@ #!/bin/bash -DIRNAME="DC2_redshift_only_bin_allmetrics" +DIRNAME="DC2_redshift_only_large_split" # Create the directory if it does not already exist if [ ! -d "/home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/$DIRNAME" ]; then From 5b9c2c4d421a3317143c2258719593f5deaa3934 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Tue, 30 Jul 2024 11:45:09 -0400 Subject: [PATCH 25/27] redshift plots stratified by true redshift and blendedness --- .../redshift/evaluation/dc2_plot.ipynb | 3 +- .../redshift/evaluation/notebook_plot.yaml | 106 ++++++++++-------- .../redshift_from_img/encoder/encoder.py | 4 - .../redshift_from_img/encoder/metrics.py | 93 ++++++++++++--- .../full_train_config_redshift.yaml | 72 +++++++----- .../redshift/redshift_from_img/train.sh | 2 +- 6 files changed, 183 insertions(+), 97 deletions(-) diff --git a/case_studies/redshift/evaluation/dc2_plot.ipynb b/case_studies/redshift/evaluation/dc2_plot.ipynb index 360b30f04..65c0de665 100644 --- a/case_studies/redshift/evaluation/dc2_plot.ipynb +++ b/case_studies/redshift/evaluation/dc2_plot.ipynb @@ -816,7 +816,8 @@ " for batch_idx, batch in tqdm(enumerate(dataset.test_dataloader()), total=len(dataset.test_dataloader())):\n", " true_cat = TileCatalog(tile_slen=4, d=batch[\"tile_catalog\"]).get_brightest_sources_per_tile()\n", " lsst_cat = lsst_predictor.predict(batch[\"wcs_header_str\"], image_lim, batch[\"image_height_index\"], batch[\"image_width_index\"])\n", - " est_cat = est_redshifts_with_reg_change_to_cat(lsst_cat, reg, tile_slen=4)\n", + " est_cat = \n", + " dshifts_with_reg_change_to_cat(lsst_cat, reg, tile_slen=4)\n", " est_cat = est_cat.to_full_catalog()\n", " true_cat = true_cat.to_full_catalog()\n", " matching = matcher.match_catalogs(true_cat, est_cat)\n", diff --git a/case_studies/redshift/evaluation/notebook_plot.yaml b/case_studies/redshift/evaluation/notebook_plot.yaml index cab1a73c2..7d1e99efe 100644 --- a/case_studies/redshift/evaluation/notebook_plot.yaml +++ b/case_studies/redshift/evaluation/notebook_plot.yaml @@ -9,13 +9,18 @@ paths: global_setting: min_flux_for_loss: 50 # you need to regenerate split_results after changing this number +variational_factors: + - _target_: bliss.encoder.variational_dist.NormalFactor + name: redshifts + sample_rearrange: "b ht wt -> b ht wt 1 1" + nll_rearrange: "b ht wt 1 1 -> b ht wt" + nll_gating: is_galaxy + encoder: _target_: case_studies.redshift.redshift_from_img.encoder.encoder.RedshiftsEncoder # _target_: bliss.encoder.encoder.Encoder survey_bands: ["g", "i", "r", "u", "y", "z"] tile_slen: 4 - min_flux_for_loss: ${global_setting.min_flux_for_loss} - min_flux_for_metrics: 100 optimizer_params: lr: 1e-3 scheduler_params: @@ -34,11 +39,14 @@ encoder: asinh: _target_: bliss.encoder.image_normalizer.AsinhQuantileNormalizer q: [0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.99, 0.999, 0.9999, 0.99999] + # matcher: + # _target_: bliss.encoder.metrics.CatalogMatcher + # dist_slack: 1.0 + # mag_slack: null + # mag_band: 2 # SDSS r-band matcher: - _target_: bliss.encoder.metrics.CatalogMatcher - dist_slack: 1.0 - mag_slack: null - mag_band: 2 # SDSS r-band + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftsCatalogMatcher + match_gating: is_galaxy mode_metrics: _target_: torchmetrics.MetricCollection _convert_: "partial" @@ -54,44 +62,54 @@ encoder: use_checkerboard: false my_metrics_test: - redshift_mearn_square_error: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredError - redshift_mearn_square_error_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_outlier_fraction: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFraction - redshift_outlier_fraction_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_nmad: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDev - redshift_nmad_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDevBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_outlier_fraction_catastrophic: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCata - redshift_outlier_fraction_catastrophic_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCataBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_bias: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBias - redshift_bias_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBiasBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - redshift_abs_bias: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftAbsBias - redshift_abs_bias_bin: - _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftAbsBiasBin - mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # flux_error: - # _target_: bliss.encoder.metrics.FluxError - # survey_bands: ${encoder.survey_bands} + # redshift_mearn_square_error: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredError + # redshift_mearn_square_error_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBin + # bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + # bin_type: "njymag" + # redshift_mean_square_error_blendedness: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBlendedness + # bin_cutoffs: [0.0001, 0.02, 0.1, 0.2, 0.6] + redshift_mean_square_error_true_redshifts: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorTrueRedshift + bin_cutoffs: [0.5, 1, 1.5, 2, 2.5, 3] + # redshift_outlier_fraction: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFraction + # redshift_outlier_fraction_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionBin + # bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + # bin_type: "njymag" + # redshift_nmad: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDev + # redshift_nmad_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDevBin + # bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + # bin_type: "njymag" + # redshift_outlier_fraction_catastrophic: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCata + # redshift_outlier_fraction_catastrophic_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCataBin + # bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + # bin_type: "njymag" + # redshift_bias: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBias + # redshift_bias_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBiasBin + # bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + # bin_type: "njymag" + # redshift_abs_bias: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftAbsBias + # redshift_abs_bias_bin: + # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftAbsBiasBin + # bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + # bin_type: "njymag" + train: trainer: logger: name: DC2_redshift_training - version: DC2_redshift_only_bin_allmetrics + version: DC2_redshift_only_large_split_blend save_dir: ${paths.root}/case_studies/redshift/redshift_from_img/ precision: 32 strategy: @@ -104,7 +122,7 @@ train: val_check_interval: 0.5 # check_val_every_n_epoch: 1 # devices: [0, 2, 3, 4] - devices: [1, 4] + devices: [1] max_epochs: 50 callbacks: checkpointing: @@ -125,7 +143,7 @@ train: surveys: dc2: - dc2_cat_path: /home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl - cached_data_path: /data/scratch/qiaozhih/dc2_cached_data - batch_size: 16 + dc2_cat_path: /data/scratch/dc2local/merged_catalog_with_flux_over_50.pkl + cached_data_path: /data/scratch/dc2local/dc2_cached_data + batch_size: 4 max_sources_per_tile: 5 diff --git a/case_studies/redshift/redshift_from_img/encoder/encoder.py b/case_studies/redshift/redshift_from_img/encoder/encoder.py index c336e2a0a..0ec2175f8 100644 --- a/case_studies/redshift/redshift_from_img/encoder/encoder.py +++ b/case_studies/redshift/redshift_from_img/encoder/encoder.py @@ -7,10 +7,6 @@ class RedshiftsEncoder(Encoder): def update_metrics(self, batch, batch_idx): target_cat = TileCatalog(batch["tile_catalog"]).get_brightest_sources_per_tile() - target_cat = target_cat.filter_by_flux( - min_flux=self.min_flux_for_loss, - band=self.reference_band, - ) mode_cat = self.sample(batch, use_mode=True) matching = self.matcher.match_catalogs(target_cat, mode_cat) diff --git a/case_studies/redshift/redshift_from_img/encoder/metrics.py b/case_studies/redshift/redshift_from_img/encoder/metrics.py index c92430605..388238ca5 100644 --- a/case_studies/redshift/redshift_from_img/encoder/metrics.py +++ b/case_studies/redshift/redshift_from_img/encoder/metrics.py @@ -14,13 +14,15 @@ class MetricBin(Metric): def __init__( self, mag_band: int = 2, - mag_bin_cutoffs: list = None, + bin_cutoffs: list = None, + bin_type: str = "njymag", **kwargs, ): super().__init__(**kwargs) self.mag_band = mag_band - self.mag_bin_cutoffs = mag_bin_cutoffs - self.n_bins = len(self.mag_bin_cutoffs) + 1 + self.bin_cutoffs = bin_cutoffs + self.n_bins = len(self.bin_cutoffs) + 1 + self.bin_type = bin_type class RedshiftMeanSquaredError(Metric): @@ -64,7 +66,7 @@ def __init__( self.add_state("total", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") def update(self, true_cat, est_cat, matching): - cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + cutoffs = torch.tensor(self.bin_cutoffs, device=self.device) for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] @@ -78,7 +80,9 @@ def update(self, true_cat, est_cat, matching): true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) - true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) + true_mag = true_cat.on_fluxes("njymag")[i][..., self.mag_band][tcat_matches].to( + self.device + ) bin_indices = torch.bucketize(true_mag, cutoffs) red_err = (true_red - est_red).abs() ** 2 @@ -108,7 +112,7 @@ def __init__( self.add_state("total", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") def update(self, true_cat, est_cat, matching): - cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + cutoffs = torch.tensor(self.bin_cutoffs, device=self.device) for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] @@ -137,7 +141,52 @@ def compute(self): print(f"total num of pts: {self.total}") # noqa: WPS421 mse_per_bin = self.sum_squared_error / self.total mse_per_bin_results = { - f"redshifts/mse_blend_{i}": mse_per_bin[i].item() for i in range(len(mse_per_bin)) + f"redshifts/mse_blend_bin_{i}": mse_per_bin[i].item() for i in range(len(mse_per_bin)) + } + return {**mse_per_bin_results} + + +class RedshiftMeanSquaredErrorTrueRedshift(MetricBin): + def __init__( + self, + **kwargs, + ): + super().__init__(**kwargs) + self.add_state("sum_squared_error", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") + self.add_state("total", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") + + def update(self, true_cat, est_cat, matching): + cutoffs = torch.tensor(self.bin_cutoffs, device=self.device) + for i in range(true_cat.batch_size): + tcat_matches, ecat_matches = matching[i] + + # For RedshiftsCatalogMatcher + if isinstance(est_cat, BaseTileCatalog): + true_red = true_cat["redshifts"][i][tcat_matches].to(self.device) + est_red = est_cat["redshifts"][i][ecat_matches].to(self.device) + tcat_matches = rearrange(tcat_matches, "h w 1 1 -> h w 1") + # For CatalogMatcher + else: + true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) + est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) + + true_redshifts = true_cat["redshifts"][i][..., 0][tcat_matches].to(self.device) + bin_indices = torch.bucketize(true_redshifts, cutoffs) + + red_err = (true_red - est_red).abs() ** 2 + if len(red_err.shape) > 1: + red_err = red_err.squeeze(-1) + + self.total += bin_indices.bincount(minlength=self.n_bins) + for bin_idx, err in zip(bin_indices, red_err): + self.sum_squared_error[bin_idx] += err + + def compute(self): + print(f"total num of pts: {self.total}") # noqa: WPS421 + mse_per_bin = self.sum_squared_error / self.total + mse_per_bin_results = { + f"redshifts/mse_redshifts_bin_{i}": mse_per_bin[i].item() + for i in range(len(mse_per_bin)) } return {**mse_per_bin_results} @@ -190,7 +239,7 @@ def __init__( self.add_state("total", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") def update(self, true_cat, est_cat, matching): - cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + cutoffs = torch.tensor(self.bin_cutoffs, device=self.device) for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] @@ -204,7 +253,9 @@ def update(self, true_cat, est_cat, matching): true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) - true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) + true_mag = true_cat.on_fluxes(self.bin_type)[i][..., self.mag_band][tcat_matches].to( + self.device + ) bin_indices = torch.bucketize(true_mag, cutoffs) metric_outlier = torch.abs(true_red - est_red) / (1 + true_red) @@ -274,7 +325,7 @@ def __init__( self.add_state("total", default=torch.zeros(self.n_bins), dist_reduce_fx="sum") def update(self, true_cat, est_cat, matching): - cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + cutoffs = torch.tensor(self.bin_cutoffs, device=self.device) for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] @@ -288,7 +339,9 @@ def update(self, true_cat, est_cat, matching): true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) - true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) + true_mag = true_cat.on_fluxes(self.bin_type)[i][..., self.mag_band][tcat_matches].to( + self.device + ) bin_indices = torch.bucketize(true_mag, cutoffs) metric_outlier_cata = torch.abs(true_red - est_red) @@ -351,7 +404,7 @@ def __init__(self, **kwargs): self.metrics.append(torch.tensor([])) def update(self, true_cat, est_cat, matching): - cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + cutoffs = torch.tensor(self.bin_cutoffs, device=self.device) for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] @@ -365,7 +418,9 @@ def update(self, true_cat, est_cat, matching): true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) - true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) + true_mag = true_cat.on_fluxes(self.bin_type)[i][..., self.mag_band][tcat_matches].to( + self.device + ) bin_indices = torch.bucketize(true_mag, cutoffs) metrics = (true_red - est_red) / (1 + true_red) @@ -444,7 +499,7 @@ def __init__(self, **kwargs): self.bias.append(torch.tensor([])) def update(self, true_cat, est_cat, matching): - cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + cutoffs = torch.tensor(self.bin_cutoffs, device=self.device) for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] @@ -458,7 +513,9 @@ def update(self, true_cat, est_cat, matching): true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) - true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) + true_mag = true_cat.on_fluxes(self.bin_type)[i][..., self.mag_band][tcat_matches].to( + self.device + ) bin_indices = torch.bucketize(true_mag, cutoffs) metrics = (true_red - est_red) / (1 + true_red) @@ -529,7 +586,7 @@ def __init__(self, **kwargs): self.bias.append(torch.tensor([])) def update(self, true_cat, est_cat, matching): - cutoffs = torch.tensor(self.mag_bin_cutoffs, device=self.device) + cutoffs = torch.tensor(self.bin_cutoffs, device=self.device) for i in range(true_cat.batch_size): tcat_matches, ecat_matches = matching[i] @@ -543,7 +600,9 @@ def update(self, true_cat, est_cat, matching): true_red = true_cat["redshifts"][i, tcat_matches, :].to(self.device) est_red = est_cat["redshifts"][i, ecat_matches, :].to(self.device) - true_mag = true_cat.on_fluxes[i][..., self.mag_band][tcat_matches].to(self.device) + true_mag = true_cat.on_fluxes(self.bin_type)[i][..., self.mag_band][tcat_matches].to( + self.device + ) bin_indices = torch.bucketize(true_mag, cutoffs) metrics = torch.abs(true_red - est_red) / (1 + true_red) diff --git a/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml b/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml index c96a818ec..8612c7ea3 100644 --- a/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml +++ b/case_studies/redshift/redshift_from_img/full_train_config_redshift.yaml @@ -24,8 +24,6 @@ encoder: # _target_: bliss.encoder.encoder.Encoder survey_bands: ["g", "i", "r", "u", "y", "z"] tile_slen: 4 - min_flux_for_loss: ${global_setting.min_flux_for_loss} - min_flux_for_metrics: 100 optimizer_params: lr: 1e-3 scheduler_params: @@ -59,31 +57,45 @@ encoder: use_checkerboard: false my_metrics: - # redshift_mearn_square_error: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredError - # redshift_mearn_square_error_bin: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBin - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # redshift_outlier_fraction: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFraction - # redshift_outlier_fraction_bin: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionBin - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # redshift_nmad: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDev - # redshift_nmad_bin: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDevBin - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # redshift_outlier_fraction_catastrophic: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCata - # redshift_outlier_fraction_catastrophic_bin: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCataBin - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] - # redshift_bias: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBias - # redshift_bias_bin: - # _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBiasBin - # mag_bin_cutoffs: [200, 400, 600, 800, 1000] + redshift_mearn_square_error: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredError + redshift_mearn_square_error_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBin + bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + bin_type: "njymag" + redshift_mean_square_error_blendedness: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftMeanSquaredErrorBlendedness + bin_cutoffs: [0.0001, 0.02, 0.1, 0.2, 0.6] + redshift_outlier_fraction: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFraction + redshift_outlier_fraction_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionBin + bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + bin_type: "njymag" + redshift_nmad: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDev + redshift_nmad_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftNormalizedMedianAbsDevBin + bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + bin_type: "njymag" + redshift_outlier_fraction_catastrophic: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCata + redshift_outlier_fraction_catastrophic_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftOutlierFractionCataBin + bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + bin_type: "njymag" + redshift_bias: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBias + redshift_bias_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftBiasBin + bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + bin_type: "njymag" + redshift_abs_bias: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftAbsBias + redshift_abs_bias_bin: + _target_: case_studies.redshift.redshift_from_img.encoder.metrics.RedshiftAbsBiasBin + bin_cutoffs: [23.9, 24.1, 24.5, 24.9, 25.6] + bin_type: "njymag" train: trainer: @@ -102,7 +114,7 @@ train: val_check_interval: 0.5 # check_val_every_n_epoch: 1 # devices: [0, 2, 3, 4] - devices: [1, 4] + devices: [4] max_epochs: 50 callbacks: checkpointing: @@ -123,7 +135,7 @@ train: surveys: dc2: - dc2_cat_path: /home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_generate_catalog_output/merged_catalog_with_flux_over_50.pkl - cached_data_path: /data/scratch/qiaozhih/dc2_cached_data + dc2_cat_path: /data/scratch/dc2local/merged_catalog_with_flux_over_50.pkl + cached_data_path: /data/scratch/dc2local/dc2_cached_data batch_size: 64 max_sources_per_tile: 5 diff --git a/case_studies/redshift/redshift_from_img/train.sh b/case_studies/redshift/redshift_from_img/train.sh index c2178b653..6cc42edf4 100755 --- a/case_studies/redshift/redshift_from_img/train.sh +++ b/case_studies/redshift/redshift_from_img/train.sh @@ -1,5 +1,5 @@ #!/bin/bash -DIRNAME="DC2_redshift_only_large_split" +DIRNAME="DC2_redshift_only_large_split_blend" # Create the directory if it does not already exist if [ ! -d "/home/qiaozhih/bliss/case_studies/redshift/redshift_from_img/DC2_redshift_training/$DIRNAME" ]; then From e050da35c25723d345aff9d5330779a225aa47dd Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Tue, 30 Jul 2024 12:30:59 -0400 Subject: [PATCH 26/27] rm unnecessary files and code modification for PR --- bliss/main.py | 7 ------- .../evaluation/DC2output/bliss_output.pkl | Bin 2089 -> 0 bytes .../evaluation/DC2output/bliss_output_all.pkl | Bin 1144 -> 0 bytes .../redshift/evaluation/DC2output/gt_output.pkl | Bin 2089 -> 0 bytes .../evaluation/DC2output/gt_output_all.pkl | Bin 1144 -> 0 bytes 5 files changed, 7 deletions(-) delete mode 100644 case_studies/redshift/evaluation/DC2output/bliss_output.pkl delete mode 100644 case_studies/redshift/evaluation/DC2output/bliss_output_all.pkl delete mode 100644 case_studies/redshift/evaluation/DC2output/gt_output.pkl delete mode 100644 case_studies/redshift/evaluation/DC2output/gt_output_all.pkl diff --git a/bliss/main.py b/bliss/main.py index e62b1fbd7..3f86886eb 100644 --- a/bliss/main.py +++ b/bliss/main.py @@ -92,13 +92,6 @@ def train(train_cfg: DictConfig): # train! trainer.fit(encoder, datamodule=dataset, ckpt_path=train_cfg.ckpt_path) - # load best model for test - if train_cfg.test_best: - best_model_path = callbacks["checkpointing"].best_model_path - enc_state_dict = torch.load(best_model_path) - enc_state_dict = enc_state_dict["state_dict"] - encoder.load_state_dict(enc_state_dict) - # test! # load best model for test best_model_path = callbacks["checkpointing"].best_model_path diff --git a/case_studies/redshift/evaluation/DC2output/bliss_output.pkl b/case_studies/redshift/evaluation/DC2output/bliss_output.pkl deleted file mode 100644 index 86b8fd1882f6dbe8b32d63bce2e3daa1a36c9a92..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2089 zcmeIwJx|*}7zc2_B|)KvsFfa82W@P3<&1~_y${k{J-;azw@~EYiZ7S7$fZ!uLOx@Lidz> zeOfrE_e0>R%-Dyn1E!-!%XyKHFG2RpG z2oFyck&xPWZ5qbdx@e~Ne>U&l9bA8T(-~WzZ*91axZ$A|^l~hiVi8O62@#UAjGGWZ zF1$&pQYpbCi)ol~>l`(qs7{Xwmh=aa+#YeqLp3PMgbBrKfrV^%qM73Lz(LMr4VLZm zM&RT*eA7dXNqE{aH=>6vG&iAf^>tcoauY2;X06xtdwswEp}*{}t#S+1p%~?H__53F zpuVNJvjYo$=f+cUGwe+AlX3O;V%=R@T>tm>_rU#jIJjBa9_UMFpwINK4vcpDXE6_( zPf4U;@8CVZEn)%(^NB_Z2-~|_LGr1yTGol4ZG!3#k0!U*^07N^3TZ+|g* z$^#tIK-b$Je0&g>ZlL4sH#^5D;Lr_pyZzd%MqIjqPPbqAtP-dhtJ8okw_h-+r~xF6 z6!Lkwi79ZWANPHzfJ+|a_C1eU8*s^k9Y0-v0WNuv>({@#bpV$<$ocCM&o|(b2f2S~ zlY9b5UI7vE`K2W}nW;tbX+??2C7JnoaKGI8PzzK_SS`q37w*r0K#W?DACI_m93Vz5 z$iKV#eHIX-7UcJBHpxVp3krwjTNXS3nX8H?9Fh}D65)ZddBYb4qBVd*WbUtw14L^8 p1xxQ`W}tc^odgP-_D_MtYXAjM^G0h0qHO?$Qq{f{2|x{{dH^~@t(pJ; diff --git a/case_studies/redshift/evaluation/DC2output/gt_output.pkl b/case_studies/redshift/evaluation/DC2output/gt_output.pkl deleted file mode 100644 index d76e34db2deba015d1e3c4cabe9b9f9ec5f99b75..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2089 zcmeIwzfRjg90zd!OHu`b5LK(PRH&1)q=AIgVMG;+)t16?OLcPW3%<(uxIadsQlu8LS0)|+BqRoYAqxYl^8miVmVf@<`FEf5xN`aSh4DB>+Ra}I63Lhj zm3+T12_DcCw{S5 zy2oq2lV$Kt7u6==Y0KOQAGc87g2vVEv{>gRT7XQyS#jqpEclHZ&&AE4HOWuLpH~b0_}{%Ze0S?LfB*H)@2mBVI&E{!7 z2b)hws9^8lJ@-XK1P3CMBdKaguB3i;96&^AKnkT&Jph5vgU$c| From 086901a10d0fd8dfe382c93b199e69519db93566 Mon Sep 17 00:00:00 2001 From: Qiaozhi Huang Date: Tue, 30 Jul 2024 14:59:01 -0400 Subject: [PATCH 27/27] rm unnecessary utils --- .../redshift/evaluation/utils/convnet.py | 101 ------- .../redshift/evaluation/utils/encoder.py | 25 -- .../evaluation/utils/image_normalizer.py | 279 ------------------ .../redshift/evaluation/utils/load_lsst.py | 104 ------- .../redshift/evaluation/utils/metrics.py | 73 ----- .../utils/safe_metric_collection.py | 22 -- 6 files changed, 604 deletions(-) delete mode 100644 case_studies/redshift/evaluation/utils/convnet.py delete mode 100644 case_studies/redshift/evaluation/utils/encoder.py delete mode 100644 case_studies/redshift/evaluation/utils/image_normalizer.py delete mode 100644 case_studies/redshift/evaluation/utils/load_lsst.py delete mode 100644 case_studies/redshift/evaluation/utils/metrics.py delete mode 100644 case_studies/redshift/evaluation/utils/safe_metric_collection.py diff --git a/case_studies/redshift/evaluation/utils/convnet.py b/case_studies/redshift/evaluation/utils/convnet.py deleted file mode 100644 index ee9759d43..000000000 --- a/case_studies/redshift/evaluation/utils/convnet.py +++ /dev/null @@ -1,101 +0,0 @@ -# adapted from the convnet.py in commit 53936977c3a87f8ba937d75bec0fd951eb5c23d9 - -import torch -from torch import nn - -# The code in this file is based on the following repository: -# https://github.com/ultralytics/yolov5/ - - -class ConvBlock(nn.Module): - def __init__( - self, in_channels, out_channels, kernel_size=3, stride=1, padding=1, use_group_norm=False - ): - super().__init__() - self.conv = nn.Conv2d(in_channels, out_channels, kernel_size, stride, padding, bias=False) - self.norm = ( - nn.BatchNorm2d(out_channels, eps=0.001, momentum=0.03) - if not use_group_norm - else nn.GroupNorm(out_channels // 16, out_channels) - ) - self.activation = nn.SiLU(inplace=True) - - def forward(self, x): - return self.activation(self.norm(self.conv(x))) - - -class Bottleneck(nn.Module): - def __init__(self, c1, c2, shortcut=True, e=0.5, use_group_norm=False): - super().__init__() - ch = int(c2 * e) - self.cv1 = ConvBlock(c1, ch, kernel_size=1, padding=0, use_group_norm=use_group_norm) - self.cv2 = ConvBlock( - ch, c2, kernel_size=3, padding=1, stride=1, use_group_norm=use_group_norm - ) - self.add = shortcut and c1 == c2 - - def forward(self, x): - out = self.cv2(self.cv1(x)) - return x + out if self.add else out - - -class C3(nn.Module): - def __init__(self, c1, c2, n=1, shortcut=True, e=0.5, use_group_norm=False): - super().__init__() - ch = int(c2 * e) - self.cv1 = ConvBlock(c1, ch, kernel_size=1, padding=0, use_group_norm=use_group_norm) - self.cv2 = ConvBlock(c1, ch, kernel_size=1, padding=0, use_group_norm=use_group_norm) - self.cv3 = ConvBlock(2 * ch, c2, kernel_size=1, padding=0, use_group_norm=use_group_norm) - self.m = nn.Sequential( - *(Bottleneck(ch, ch, shortcut, e=1.0, use_group_norm=use_group_norm) for _ in range(n)), - ) - - def forward(self, x): - return self.cv3(torch.cat((self.m(self.cv1(x)), self.cv2(x)), 1)) - - -class FeaturesNet(nn.Module): - def __init__(self, n_bands, ch_per_band, num_features, double_downsample=True): - super().__init__() - - nch_hidden = 64 - nch_hidden_for_asinh_params = 32 - self.preprocess3d = nn.Sequential( - nn.Conv3d(n_bands, nch_hidden, [ch_per_band, 5, 5], padding=[0, 2, 2]), - nn.BatchNorm3d(nch_hidden), - nn.SiLU(), - ) - self.backbone = nn.Sequential( - ConvBlock(nch_hidden + nch_hidden_for_asinh_params, 64, kernel_size=5, padding=2), - nn.Sequential(*[ConvBlock(64, 64, kernel_size=5, padding=2) for _ in range(4)]), - ConvBlock(64, 128, stride=2), - nn.Sequential(*[ConvBlock(128, 128) for _ in range(5)]), - ConvBlock(128, num_features, stride=(2 if double_downsample else 1)), # 4 - ) - - self.asinh_preprocess = nn.Sequential( - nn.ZeroPad2d(padding=(0, 1, 1, 1)), - C3(1, nch_hidden_for_asinh_params, n=4, use_group_norm=True), - nn.Upsample(scale_factor=2, mode="nearest"), - ConvBlock( - nch_hidden_for_asinh_params, nch_hidden_for_asinh_params, use_group_norm=True - ), - nn.Upsample(scale_factor=5, mode="nearest"), - ConvBlock( - nch_hidden_for_asinh_params, - nch_hidden_for_asinh_params, - kernel_size=7, - padding=3, - use_group_norm=True, - ), - ) - - def forward(self, x): - preprocessed_x = self.preprocess3d(x[0]).squeeze(2) - asinh_params = x[1] - preprocessed_asinh_params = self.asinh_preprocess(asinh_params.unsqueeze(0)) - expanded_asinh_params = preprocessed_asinh_params.expand( - preprocessed_x.shape[0], -1, -1, -1 - ).clone() - - return self.backbone(torch.cat((preprocessed_x, expanded_asinh_params), dim=1)) diff --git a/case_studies/redshift/evaluation/utils/encoder.py b/case_studies/redshift/evaluation/utils/encoder.py deleted file mode 100644 index cdfe64711..000000000 --- a/case_studies/redshift/evaluation/utils/encoder.py +++ /dev/null @@ -1,25 +0,0 @@ -from bliss.encoder.convnet import CatalogNet, ContextNet -from bliss.encoder.encoder import Encoder -from case_studies.dc2_cataloging.utils.convnet import FeaturesNet -from case_studies.dc2_cataloging.utils.image_normalizer import DynamicAsinhImageNormalizer - - -class EncoderForDynamicAsinh(Encoder): - def initialize_networks(self): - assert isinstance( - self.image_normalizer, DynamicAsinhImageNormalizer - ), "wrong image normalizer" - assert self.tile_slen in {2, 4}, "tile_slen must be 2 or 4" - ch_per_band = self.image_normalizer.num_channels_per_band() - num_features = 256 - self.features_net = FeaturesNet( - len(self.image_normalizer.bands), - ch_per_band, - num_features, - double_downsample=(self.tile_slen == 4), - ) - n_params_per_source = self.var_dist.n_params_per_source - self.marginal_net = CatalogNet(num_features, n_params_per_source) - self.checkerboard_net = ContextNet(num_features, n_params_per_source) - if self.double_detect: - self.second_net = CatalogNet(num_features, n_params_per_source) diff --git a/case_studies/redshift/evaluation/utils/image_normalizer.py b/case_studies/redshift/evaluation/utils/image_normalizer.py deleted file mode 100644 index 54ec4d5eb..000000000 --- a/case_studies/redshift/evaluation/utils/image_normalizer.py +++ /dev/null @@ -1,279 +0,0 @@ -from typing import Dict - -import torch - -from bliss.encoder.image_normalizer import ImageNormalizer - - -class DynamicAsinhImageNormalizer(ImageNormalizer): - def __init__( - self, - bands: list, - include_original: bool, - include_background: bool, - concat_psf_params: bool, - num_psf_params: int, - log_transform_stdevs: list, - use_clahe: bool, - clahe_min_stdev: float, - asinh_params: Dict[str, float], - ): - super().__init__( - bands, - include_original, - include_background, - concat_psf_params, - num_psf_params, - log_transform_stdevs, - use_clahe, - clahe_min_stdev, - ) - self.asinh_params = asinh_params - - assert self.asinh_params, "asinh_params can't be None" - assert ( - not self.include_background - ), "if you want to use asinh, please don't include background" - - thresholds_num = len(self.asinh_params["thresholds"]) - thresholds = torch.tensor(self.asinh_params["thresholds"]).view(1, -1) - thresholds = thresholds.expand(len(self.bands), thresholds_num) - thresholds = thresholds.view(1, len(self.bands), thresholds_num, 1, 1).clone() - - self.asinh_thresholds_tensor = torch.nn.Parameter(thresholds, requires_grad=True) - - def num_channels_per_band(self): - pre_nch = super().num_channels_per_band() - return pre_nch + len(self.asinh_params["thresholds"]) - - def get_input_tensor(self, batch): - pre_input_tensor = super().get_input_tensor(batch) - raw_images = batch["images"][:, self.bands].unsqueeze(2) - - asinh_thresholds_tensor = self.asinh_thresholds_tensor.detach() - filtered_images = raw_images - asinh_thresholds_tensor - processed_images = filtered_images * self.asinh_params["scale"] - processed_images = torch.asinh(processed_images) - - if pre_input_tensor is not None: - input_tensor = torch.cat((pre_input_tensor, processed_images), dim=2) - else: - input_tensor = processed_images - - return input_tensor, self.asinh_thresholds_tensor.squeeze().unsqueeze(0) - - -class MovingAvgAsinhImageNormalizer(ImageNormalizer): - def __init__( - self, - bands: list, - include_original: bool, - include_background: bool, - concat_psf_params: bool, - num_psf_params: int, - log_transform_stdevs: list, - use_clahe: bool, - clahe_min_stdev: float, - asinh_params: Dict[str, float], - ): - super().__init__( - bands, - include_original, - include_background, - concat_psf_params, - num_psf_params, - log_transform_stdevs, - use_clahe, - clahe_min_stdev, - ) - self.asinh_params = asinh_params - - assert self.asinh_params, "asinh_params can't be None" - assert ( - not self.include_background - ), "if you want to use asinh, please don't include background" - - thresholds_num = len(self.asinh_params["thresholds"]) - thresholds = torch.tensor(self.asinh_params["thresholds"]).view(1, 1, thresholds_num, 1, 1) - self.asinh_thresholds_tensor = thresholds - - self.asinh_buffer_size = 1000 - self.asinh_buffer_ptr = 0 - self.asinh_quantiles_tensor = torch.tensor([0.01, 0.1, 0.25, 0.5, 0.75, 0.9, 0.99]) - buffer_shape = (self.asinh_buffer_size, *self.asinh_thresholds_tensor.squeeze().shape) - self.asinh_thresholds_buffer = torch.full(buffer_shape, torch.nan) - - def num_channels_per_band(self): - pre_nch = super().num_channels_per_band() - return pre_nch + len(self.asinh_params["thresholds"]) - - def get_input_tensor(self, batch): - pre_input_tensor = super().get_input_tensor(batch) - raw_images = batch["images"][:, self.bands].unsqueeze(2) - - self.asinh_thresholds_tensor = self.asinh_thresholds_tensor.to(device=raw_images.device) - self.asinh_quantiles_tensor = self.asinh_quantiles_tensor.to(device=raw_images.device) - self.asinh_thresholds_buffer = self.asinh_thresholds_buffer.to(device=raw_images.device) - - if self.training: - self.asinh_buffer_ptr %= self.asinh_buffer_size - self.asinh_thresholds_buffer[self.asinh_buffer_ptr] = torch.quantile( - raw_images, q=self.asinh_quantiles_tensor - ) - buffer_median, _ = torch.nanmedian(self.asinh_thresholds_buffer, dim=0) - self.asinh_thresholds_tensor = buffer_median.view( - *self.asinh_thresholds_tensor.shape, - ) - self.asinh_buffer_ptr += 1 - - filtered_images = raw_images - self.asinh_thresholds_tensor - processed_images = filtered_images * self.asinh_params["scale"] - processed_images = torch.asinh(processed_images) - - if pre_input_tensor is not None: - input_tensor = torch.cat((pre_input_tensor, processed_images), dim=2) - else: - input_tensor = processed_images - - return input_tensor - - -class PerbandMovingAvgAsinhImageNormalizer(ImageNormalizer): - def __init__( - self, - bands: list, - include_original: bool, - include_background: bool, - concat_psf_params: bool, - num_psf_params: int, - log_transform_stdevs: list, - use_clahe: bool, - clahe_min_stdev: float, - asinh_params: Dict[str, float], - ): - super().__init__( - bands, - include_original, - include_background, - concat_psf_params, - num_psf_params, - log_transform_stdevs, - use_clahe, - clahe_min_stdev, - ) - self.asinh_params = asinh_params - - assert self.asinh_params, "asinh_params can't be None" - assert ( - not self.include_background - ), "if you want to use asinh, please don't include background" - - thresholds_num = len(self.asinh_params["thresholds"]) - thresholds = torch.tensor(self.asinh_params["thresholds"]).view(1, -1) - thresholds = thresholds.expand(len(self.bands), thresholds_num) - thresholds = thresholds.view(1, len(self.bands), thresholds_num, 1, 1).clone() - self.asinh_thresholds_tensor = thresholds - - self.asinh_buffer_size = 1000 - self.asinh_buffer_ptr = 0 - self.asinh_quantiles_tensor = torch.tensor([0.01, 0.1, 0.25, 0.5, 0.75, 0.9, 0.99]) - buffer_shape = (self.asinh_buffer_size, *self.asinh_thresholds_tensor.squeeze().shape) - self.asinh_thresholds_buffer = torch.full(buffer_shape, torch.nan) - - def num_channels_per_band(self): - pre_nch = super().num_channels_per_band() - return pre_nch + len(self.asinh_params["thresholds"]) - - def get_input_tensor(self, batch): - pre_input_tensor = super().get_input_tensor(batch) - raw_images = batch["images"][:, self.bands].unsqueeze(2) - - self.asinh_thresholds_tensor = self.asinh_thresholds_tensor.to(device=raw_images.device) - self.asinh_quantiles_tensor = self.asinh_quantiles_tensor.to(device=raw_images.device) - self.asinh_thresholds_buffer = self.asinh_thresholds_buffer.to(device=raw_images.device) - - if self.training: - self.asinh_buffer_ptr %= self.asinh_buffer_size - reshaped_raw_images = ( - raw_images.permute((1, 0, 2, 3, 4)).contiguous().view(raw_images.shape[1], -1) - ) - raw_images_quantiles = torch.quantile( - reshaped_raw_images, - q=self.asinh_quantiles_tensor, - dim=1, - ) - self.asinh_thresholds_buffer[self.asinh_buffer_ptr] = raw_images_quantiles.permute( - (1, 0) - ).contiguous() - buffer_median, _ = torch.nanmedian(self.asinh_thresholds_buffer, dim=0) - self.asinh_thresholds_tensor = buffer_median.view( - *self.asinh_thresholds_tensor.shape, - ) - self.asinh_buffer_ptr += 1 - - filtered_images = raw_images - self.asinh_thresholds_tensor - processed_images = filtered_images * self.asinh_params["scale"] - processed_images = torch.asinh(processed_images) - - if pre_input_tensor is not None: - input_tensor = torch.cat((pre_input_tensor, processed_images), dim=2) - else: - input_tensor = processed_images - - return input_tensor - - -class FixedThresholdsAsinhImageNormalizer(ImageNormalizer): - def __init__( - self, - bands: list, - include_original: bool, - include_background: bool, - concat_psf_params: bool, - num_psf_params: int, - log_transform_stdevs: list, - use_clahe: bool, - clahe_min_stdev: float, - asinh_params: Dict[str, float], - ): - super().__init__( - bands, - include_original, - include_background, - concat_psf_params, - num_psf_params, - log_transform_stdevs, - use_clahe, - clahe_min_stdev, - ) - self.asinh_params = asinh_params - - assert self.asinh_params, "asinh_params can't be None" - assert ( - not self.include_background - ), "if you want to use asinh, please don't include background" - - self.asinh_thresholds_tensor = torch.tensor(self.asinh_params["thresholds"]).view( - 1, 1, -1, 1, 1 - ) - - def num_channels_per_band(self): - pre_nch = super().num_channels_per_band() - return pre_nch + len(self.asinh_params["thresholds"]) - - def get_input_tensor(self, batch): - pre_input_tensor = super().get_input_tensor(batch) - raw_images = batch["images"][:, self.bands].unsqueeze(2) - - self.asinh_thresholds_tensor = self.asinh_thresholds_tensor.to(device=raw_images.device) - - filtered_images = raw_images - self.asinh_thresholds_tensor - processed_images = filtered_images * self.asinh_params["scale"] - processed_images = torch.asinh(processed_images) - - if pre_input_tensor is not None: - input_tensor = torch.cat((pre_input_tensor, processed_images), dim=2) - else: - input_tensor = processed_images - - return input_tensor diff --git a/case_studies/redshift/evaluation/utils/load_lsst.py b/case_studies/redshift/evaluation/utils/load_lsst.py deleted file mode 100644 index 242f5ddc5..000000000 --- a/case_studies/redshift/evaluation/utils/load_lsst.py +++ /dev/null @@ -1,104 +0,0 @@ -import GCRCatalogs -import pandas as pd -import torch - -from bliss.catalog import FullCatalog, SourceType - - -def get_lsst_catalog_tensors_dict(lsst_root_dir: str): - GCRCatalogs.set_root_dir(lsst_root_dir) - lsst_catalog_gcr = GCRCatalogs.load_catalog("desc_dc2_run2.2i_dr6_object_with_truth_match") - lsst_catalog_sub = lsst_catalog_gcr.get_quantities( - [ - "id_truth", - "objectId", - "ra", - "dec", - "truth_type", - "cModelFlux_u", - "cModelFluxErr_u", - "cModelFlux_g", - "cModelFluxErr_g", - "cModelFlux_r", - "cModelFluxErr_r", - "cModelFlux_i", - "cModelFluxErr_i", - "cModelFlux_z", - "cModelFluxErr_z", - "cModelFlux_y", - "cModelFluxErr_y", - ] - ) - lsst_catalog_df = pd.DataFrame(lsst_catalog_sub) - lsst_flux_lst = [ - lsst_catalog_df["cModelFlux_g"], - lsst_catalog_df["cModelFlux_i"], - lsst_catalog_df["cModelFlux_r"], - lsst_catalog_df["cModelFlux_u"], - lsst_catalog_df["cModelFlux_y"], - lsst_catalog_df["cModelFlux_z"], - ] - lsst_flux_tensors_lst = [torch.tensor(flux.values).view(-1, 1) for flux in lsst_flux_lst] - return { - "truth_type": torch.tensor(lsst_catalog_df["truth_type"].values).view(-1, 1), - "flux": torch.cat(lsst_flux_tensors_lst, dim=1), - "ra": torch.tensor(lsst_catalog_df["ra"].values), - "dec": torch.tensor(lsst_catalog_df["dec"].values), - } - - -def get_lsst_params( - lsst_catalog_tensors_dict, - cur_image_wcs, - image_lim, -): - lsst_ra = lsst_catalog_tensors_dict["ra"] - lsst_dec = lsst_catalog_tensors_dict["dec"] - lsst_pt, lsst_pr = cur_image_wcs.all_world2pix(lsst_ra, lsst_dec, 0) - lsst_pt = torch.from_numpy(lsst_pt) - lsst_pr = torch.from_numpy(lsst_pr) - - lsst_plocs = torch.stack((lsst_pr, lsst_pt), dim=-1) - lsst_source_type = lsst_catalog_tensors_dict["truth_type"] - lsst_flux = lsst_catalog_tensors_dict["flux"] - - x0_mask = (lsst_plocs[:, 0] > 0) & (lsst_plocs[:, 0] < image_lim) - x1_mask = (lsst_plocs[:, 1] > 0) & (lsst_plocs[:, 1] < image_lim) - lsst_x_mask = x0_mask * x1_mask - # filter r band - lsst_flux_mask = lsst_flux[:, 2] > 0 - # filter supernova - lsst_source_mask = (lsst_source_type != 3).squeeze(1) - lsst_mask = lsst_x_mask * lsst_flux_mask * lsst_source_mask - - lsst_plocs = lsst_plocs[lsst_mask, :] - lsst_source_type = torch.where( - lsst_source_type[lsst_mask] == 2, SourceType.STAR, SourceType.GALAXY - ) - lsst_flux = lsst_flux[lsst_mask, :] - - return lsst_plocs, lsst_source_type, lsst_flux - - -def get_lsst_full_cat(lsst_root_dir: str, cur_image_wcs, image_lim, r_band_min_flux, device): - lsst_catalog_tensors_dict = get_lsst_catalog_tensors_dict(lsst_root_dir) - lsst_plocs, lsst_source_type, lsst_flux = get_lsst_params( - lsst_catalog_tensors_dict, cur_image_wcs, image_lim - ) - flux_mask = lsst_flux[:, 2] > r_band_min_flux - lsst_plocs = lsst_plocs[flux_mask, :] - lsst_source_type = lsst_source_type[flux_mask] - lsst_flux = lsst_flux[flux_mask, :] - lsst_n_sources = torch.tensor([lsst_plocs.shape[0]]) - - return FullCatalog( - height=image_lim, - width=image_lim, - d={ - "plocs": lsst_plocs.unsqueeze(0).to(device=device), - "n_sources": lsst_n_sources.to(device=device), - "source_type": lsst_source_type.unsqueeze(0).to(device=device), - "galaxy_fluxes": lsst_flux.unsqueeze(0).to(device=device), - "star_fluxes": lsst_flux.unsqueeze(0).clone().to(device=device), - }, - ) diff --git a/case_studies/redshift/evaluation/utils/metrics.py b/case_studies/redshift/evaluation/utils/metrics.py deleted file mode 100644 index 22bf4921c..000000000 --- a/case_studies/redshift/evaluation/utils/metrics.py +++ /dev/null @@ -1,73 +0,0 @@ -import torch - -from bliss.encoder.metrics import CatFilter - - -def _plocs_are_out_boundary(plocs: torch.Tensor, tile_slen: int, boundary_width: float): - plocs_in_tile = plocs % tile_slen - return torch.all( - (plocs_in_tile >= boundary_width) & (plocs_in_tile <= (tile_slen - boundary_width)), dim=-1 - ) - - -def _is_in_boundary( - plocs: torch.Tensor, is_on_mask: torch.Tensor, tile_slen: int, boundary_width: float -): - plocs_out_boundary = _plocs_are_out_boundary( - plocs, tile_slen=tile_slen, boundary_width=boundary_width - ) - plocs_in_boundary = ~plocs_out_boundary - plocs_in_boundary &= is_on_mask - - return plocs_in_boundary - - -def _is_not_in_boundary( - plocs: torch.Tensor, is_on_mask: torch.Tensor, tile_slen: int, boundary_width: float -): - plocs_out_boundary = _plocs_are_out_boundary( - plocs, tile_slen=tile_slen, boundary_width=boundary_width - ) - plocs_out_boundary &= is_on_mask - - return plocs_out_boundary - - -class InBoundaryFilter(CatFilter): - def __init__(self, tile_slen: int, boundary_width: float) -> None: - super().__init__() - self.tile_slen = tile_slen - self.boundary_width = boundary_width - - def get_cur_filter_bools(self, true_cat, est_cat): - true_filter_bools = _is_in_boundary( - true_cat["plocs"], true_cat.is_on_mask, self.tile_slen, self.boundary_width - ) - est_filter_bools = _is_in_boundary( - est_cat["plocs"], est_cat.is_on_mask, self.tile_slen, self.boundary_width - ) - - return true_filter_bools, est_filter_bools - - def get_cur_postfix(self): - return "in_boundary" - - -class OutBoundaryFilter(CatFilter): - def __init__(self, tile_slen: int, boundary_width: float) -> None: - super().__init__() - self.tile_slen = tile_slen - self.boundary_width = boundary_width - - def get_cur_filter_bools(self, true_cat, est_cat): - true_filter_bools = _is_not_in_boundary( - true_cat["plocs"], true_cat.is_on_mask, self.tile_slen, self.boundary_width - ) - est_filter_bools = _is_not_in_boundary( - est_cat["plocs"], est_cat.is_on_mask, self.tile_slen, self.boundary_width - ) - - return true_filter_bools, est_filter_bools - - def get_cur_postfix(self): - return "out_boundary" diff --git a/case_studies/redshift/evaluation/utils/safe_metric_collection.py b/case_studies/redshift/evaluation/utils/safe_metric_collection.py deleted file mode 100644 index 902663e9b..000000000 --- a/case_studies/redshift/evaluation/utils/safe_metric_collection.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Dict, List, Sequence - -from torchmetrics import Metric, MetricCollection - - -class SafeMetricCollection(MetricCollection): - def __init__( - self, - metrics: Metric | Sequence[Metric] | Dict[str, Metric], - *additional_metrics: Metric, - prefix: str | None = None, - postfix: str | None = None, - compute_groups: bool | List[List[str]] = False, - ) -> None: - assert not compute_groups, "using compute_groups will lead to unexpected behavior" - super().__init__( - metrics, - *additional_metrics, - prefix=prefix, - postfix=postfix, - compute_groups=compute_groups, - )